AlexNet (
(features): DataParallel (
(module): Sequential (
(0): Conv2d(3, 96, kernel_size=(11, 11), stride=(4, 4))
(1): BatchNorm2d(96, eps=0.0001, momentum=0.1, affine=True)
(2): ReLU (inplace)
(3): MaxPool2d (size=(3, 3), stride=(2, 2), dilation=(1, 1))
(4): BinConv2d (
(bn): BatchNorm2d(96, eps=0.0001, momentum=0.1, affine=True)
(conv): Conv2d(96, 256, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2))
(relu): ReLU (inplace)
)
(5): MaxPool2d (size=(3, 3), stride=(2, 2), dilation=(1, 1))
(6): BinConv2d (
(bn): BatchNorm2d(256, eps=0.0001, momentum=0.1, affine=True)
(conv): Conv2d(256, 384, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(relu): ReLU (inplace)
)
(7): BinConv2d (
(bn): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=True)
(conv): Conv2d(384, 384, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(relu): ReLU (inplace)
)
(8): BinConv2d (
(bn): BatchNorm2d(384, eps=0.0001, momentum=0.1, affine=True)
(conv): Conv2d(384, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(relu): ReLU (inplace)
)
(9): MaxPool2d (size=(3, 3), stride=(2, 2), dilation=(1, 1))
)
)
(classifier): Sequential (
(0): BinConv2d (
(bn): BatchNorm1d(9216, eps=0.0001, momentum=0.1, affine=True)
(linear): Linear (9216 -> 4096)
(relu): ReLU (inplace)
)
(1): BinConv2d (
(dropout): Dropout (p = 0.5)
(bn): BatchNorm1d(4096, eps=0.0001, momentum=0.1, affine=True)
(linear): Linear (4096 -> 4096)
(relu): ReLU (inplace)
)
(2): BatchNorm1d(4096, eps=0.001, momentum=0.1, affine=True)
(3): Dropout (p = 0.5)
(4): Linear (4096 -> 1000)
)
)
Learning rate: 0.001
Epoch: [0][0/5005] Time 9.154 (9.154) Data 1.985 (1.985) Loss 6.9077 (6.9077) Prec@1 0.000 (0.000) Prec@5 0.391 (0.391)
Epoch: [0][10/5005] Time 0.190 (1.008) Data 0.052 (0.230) Loss 6.9155 (6.9090) Prec@1 0.000 (0.107) Prec@5 0.000 (0.426)
Epoch: [0][20/5005] Time 0.212 (0.624) Data 0.040 (0.142) Loss 6.9410 (6.9104) Prec@1 0.000 (0.112) Prec@5 0.000 (0.539)
Epoch: [0][30/5005] Time 0.201 (0.487) Data 0.044 (0.110) Loss 6.9794 (6.9301) Prec@1 0.781 (0.252) Prec@5 1.172 (0.844)
Epoch: [0][40/5005] Time 0.190 (0.417) Data 0.046 (0.095) Loss 7.1159 (6.9633) Prec@1 0.000 (0.267) Prec@5 1.172 (0.962)
Epoch: [0][50/5005] Time 0.183 (0.374) Data 0.056 (0.086) Loss 7.0574 (6.9768) Prec@1 0.000 (0.268) Prec@5 0.391 (1.057)
Epoch: [0][60/5005] Time 0.204 (0.345) Data 0.041 (0.079) Loss 7.0956 (6.9878) Prec@1 0.000 (0.288) Prec@5 1.562 (1.076)
Epoch: [0][70/5005] Time 0.191 (0.325) Data 0.047 (0.075) Loss 7.0347 (6.9961) Prec@1 0.781 (0.286) Prec@5 1.953 (1.095)
Epoch: [0][80/5005] Time 0.208 (0.309) Data 0.043 (0.072) Loss 6.9856 (6.9970) Prec@1 0.391 (0.270) Prec@5 3.125 (1.172)
Epoch: [0][90/5005] Time 0.212 (0.297) Data 0.049 (0.069) Loss 6.9879 (6.9976) Prec@1 0.781 (0.279) Prec@5 1.172 (1.228)
Epoch: [0][100/5005] Time 0.206 (0.288) Data 0.048 (0.067) Loss 7.0013 (6.9994) Prec@1 1.172 (0.290) Prec@5 1.562 (1.261)
Epoch: [0][110/5005] Time 0.211 (0.280) Data 0.044 (0.066) Loss 7.1076 (6.9997) Prec@1 0.391 (0.303) Prec@5 1.172 (1.334)
Epoch: [0][120/5005] Time 0.183 (0.273) Data 0.096 (0.065) Loss 7.0279 (7.0021) Prec@1 0.391 (0.320) Prec@5 2.734 (1.362)
Epoch: [0][130/5005] Time 0.199 (0.270) Data 0.040 (0.066) Loss 7.0750 (7.0012) Prec@1 0.000 (0.337) Prec@5 1.562 (1.396)
Epoch: [0][140/5005] Time 0.301 (0.267) Data 0.207 (0.069) Loss 6.7718 (6.9927) Prec@1 0.781 (0.355) Prec@5 2.344 (1.471)
Epoch: [0][150/5005] Time 0.196 (0.264) Data 0.048 (0.072) Loss 6.8066 (6.9884) Prec@1 0.781 (0.370) Prec@5 3.125 (1.529)
Epoch: [0][160/5005] Time 0.205 (0.264) Data 0.041 (0.075) Loss 7.0401 (6.9848) Prec@1 0.000 (0.378) Prec@5 1.562 (1.560)
Epoch: [0][170/5005] Time 0.213 (0.262) Data 0.054 (0.076) Loss 6.9637 (6.9804) Prec@1 1.172 (0.388) Prec@5 1.953 (1.581)
Epoch: [0][180/5005] Time 0.224 (0.262) Data 0.043 (0.078) Loss 7.0869 (6.9763) Prec@1 1.562 (0.395) Prec@5 2.344 (1.614)
Epoch: [0][190/5005] Time 0.219 (0.260) Data 0.043 (0.077) Loss 6.9351 (6.9716) Prec@1 0.781 (0.395) Prec@5 3.516 (1.659)
Epoch: [0][200/5005] Time 0.224 (0.258) Data 0.040 (0.077) Loss 6.7783 (6.9668) Prec@1 0.000 (0.398) Prec@5 3.906 (1.699)
Epoch: [0][210/5005] Time 0.219 (0.257) Data 0.086 (0.077) Loss 6.6707 (6.9587) Prec@1 1.562 (0.415) Prec@5 4.297 (1.753)
Epoch: [0][220/5005] Time 0.218 (0.256) Data 0.044 (0.078) Loss 6.8189 (6.9515) Prec@1 0.781 (0.433) Prec@5 1.953 (1.780)
Epoch: [0][230/5005] Time 0.210 (0.256) Data 0.042 (0.079) Loss 6.8025 (6.9435) Prec@1 1.953 (0.446) Prec@5 4.297 (1.840)
Epoch: [0][240/5005] Time 0.208 (0.255) Data 0.082 (0.079) Loss 6.7819 (6.9364) Prec@1 0.781 (0.472) Prec@5 2.734 (1.883)
Epoch: [0][250/5005] Time 0.208 (0.254) Data 0.042 (0.079) Loss 6.7549 (6.9310) Prec@1 0.000 (0.479) Prec@5 1.953 (1.925)
Epoch: [0][260/5005] Time 0.211 (0.253) Data 0.043 (0.079) Loss 6.5821 (6.9231) Prec@1 0.391 (0.482) Prec@5 5.078 (1.952)
Epoch: [0][270/5005] Time 0.215 (0.253) Data 0.044 (0.080) Loss 6.6704 (6.9151) Prec@1 0.781 (0.493) Prec@5 3.516 (1.999)
Epoch: [0][280/5005] Time 0.645 (0.253) Data 0.558 (0.081) Loss 6.7767 (6.9070) Prec@1 0.781 (0.507) Prec@5 2.344 (2.050)
Epoch: [0][290/5005] Time 0.210 (0.252) Data 0.062 (0.081) Loss 6.7492 (6.8997) Prec@1 0.391 (0.509) Prec@5 3.906 (2.090)
Epoch: [0][300/5005] Time 0.203 (0.252) Data 0.062 (0.082) Loss 6.5129 (6.8917) Prec@1 1.172 (0.524) Prec@5 7.031 (2.162)
Epoch: [0][310/5005] Time 0.200 (0.251) Data 0.048 (0.082) Loss 6.6976 (6.8821) Prec@1 1.172 (0.538) Prec@5 3.516 (2.212)
Epoch: [0][320/5005] Time 0.200 (0.251) Data 0.044 (0.082) Loss 6.6979 (6.8752) Prec@1 0.391 (0.554) Prec@5 2.344 (2.270)
Epoch: [0][330/5005] Time 0.208 (0.252) Data 0.044 (0.084) Loss 6.6309 (6.8650) Prec@1 1.172 (0.569) Prec@5 4.297 (2.335)
Epoch: [0][340/5005] Time 0.242 (0.251) Data 0.048 (0.083) Loss 6.6040 (6.8571) Prec@1 0.781 (0.581) Prec@5 3.125 (2.379)
Epoch: [0][350/5005] Time 0.209 (0.250) Data 0.053 (0.083) Loss 6.7345 (6.8480) Prec@1 1.562 (0.599) Prec@5 4.297 (2.446)
Epoch: [0][360/5005] Time 0.212 (0.249) Data 0.045 (0.081) Loss 6.4327 (6.8389) Prec@1 0.781 (0.616) Prec@5 6.250 (2.507)
Epoch: [0][370/5005] Time 0.219 (0.248) Data 0.047 (0.081) Loss 6.4686 (6.8292) Prec@1 1.172 (0.642) Prec@5 4.688 (2.579)
Epoch: [0][380/5005] Time 0.219 (0.247) Data 0.044 (0.080) Loss 6.5472 (6.8189) Prec@1 1.172 (0.661) Prec@5 3.125 (2.639)
Epoch: [0][390/5005] Time 0.219 (0.246) Data 0.044 (0.079) Loss 6.4399 (6.8106) Prec@1 1.172 (0.674) Prec@5 3.906 (2.690)
Epoch: [0][400/5005] Time 0.220 (0.246) Data 0.044 (0.078) Loss 6.6639 (6.8011) Prec@1 0.391 (0.701) Prec@5 5.078 (2.774)
Epoch: [0][410/5005] Time 0.221 (0.245) Data 0.041 (0.077) Loss 6.3404 (6.7929) Prec@1 1.562 (0.714) Prec@5 5.469 (2.819)
Epoch: [0][420/5005] Time 0.222 (0.244) Data 0.040 (0.076) Loss 6.3823 (6.7826) Prec@1 1.172 (0.735) Prec@5 7.031 (2.907)
Epoch: [0][430/5005] Time 0.219 (0.244) Data 0.044 (0.075) Loss 6.3722 (6.7740) Prec@1 2.344 (0.755) Prec@5 5.859 (2.962)
Epoch: [0][440/5005] Time 0.213 (0.243) Data 0.041 (0.075) Loss 6.3817 (6.7650) Prec@1 1.953 (0.779) Prec@5 6.641 (3.042)
Epoch: [0][450/5005] Time 0.211 (0.242) Data 0.043 (0.074) Loss 6.2510 (6.7565) Prec@1 2.734 (0.797) Prec@5 7.031 (3.114)
Epoch: [0][460/5005] Time 0.218 (0.242) Data 0.043 (0.074) Loss 6.3920 (6.7479) Prec@1 1.172 (0.821) Prec@5 5.078 (3.180)
Epoch: [0][470/5005] Time 0.219 (0.241) Data 0.047 (0.073) Loss 6.2717 (6.7406) Prec@1 3.125 (0.839) Prec@5 8.594 (3.235)
Epoch: [0][480/5005] Time 0.213 (0.240) Data 0.050 (0.073) Loss 6.2085 (6.7320) Prec@1 1.562 (0.854) Prec@5 5.859 (3.290)
Epoch: [0][490/5005] Time 0.206 (0.240) Data 0.046 (0.072) Loss 6.4343 (6.7241) Prec@1 1.562 (0.864) Prec@5 4.688 (3.337)
Epoch: [0][500/5005] Time 0.204 (0.239) Data 0.082 (0.072) Loss 6.2944 (6.7152) Prec@1 1.953 (0.883) Prec@5 4.297 (3.410)
Epoch: [0][510/5005] Time 0.205 (0.239) Data 0.044 (0.071) Loss 6.2553 (6.7073) Prec@1 0.781 (0.908) Prec@5 5.859 (3.480)
Epoch: [0][520/5005] Time 0.205 (0.238) Data 0.048 (0.071) Loss 6.1057 (6.6982) Prec@1 1.953 (0.919) Prec@5 6.250 (3.530)
Epoch: [0][530/5005] Time 0.216 (0.238) Data 0.045 (0.070) Loss 6.1663 (6.6893) Prec@1 2.344 (0.939) Prec@5 6.641 (3.596)
Epoch: [0][540/5005] Time 0.212 (0.237) Data 0.044 (0.070) Loss 6.1873 (6.6805) Prec@1 1.953 (0.961) Prec@5 8.594 (3.680)
Epoch: [0][550/5005] Time 0.210 (0.237) Data 0.040 (0.069) Loss 6.1608 (6.6724) Prec@1 2.734 (0.988) Prec@5 8.984 (3.749)
Epoch: [0][560/5005] Time 0.219 (0.237) Data 0.044 (0.069) Loss 6.2929 (6.6645) Prec@1 1.562 (0.998) Prec@5 7.422 (3.807)
Epoch: [0][570/5005] Time 0.207 (0.236) Data 0.045 (0.068) Loss 6.1400 (6.6567) Prec@1 1.172 (1.014) Prec@5 9.766 (3.867)
Epoch: [0][580/5005] Time 0.211 (0.236) Data 0.054 (0.068) Loss 6.1636 (6.6479) Prec@1 1.562 (1.037) Prec@5 8.984 (3.945)
Epoch: [0][590/5005] Time 0.204 (0.235) Data 0.043 (0.068) Loss 6.2179 (6.6406) Prec@1 1.953 (1.054) Prec@5 7.812 (3.995)
Epoch: [0][600/5005] Time 0.217 (0.235) Data 0.044 (0.067) Loss 6.1858 (6.6330) Prec@1 4.297 (1.073) Prec@5 7.812 (4.038)
Epoch: [0][610/5005] Time 0.206 (0.235) Data 0.043 (0.067) Loss 6.1539 (6.6250) Prec@1 1.953 (1.088) Prec@5 5.859 (4.089)
Epoch: [0][620/5005] Time 0.207 (0.234) Data 0.047 (0.066) Loss 6.0888 (6.6174) Prec@1 1.953 (1.108) Prec@5 8.984 (4.153)
Epoch: [0][630/5005] Time 0.215 (0.234) Data 0.044 (0.066) Loss 6.0226 (6.6099) Prec@1 1.953 (1.126) Prec@5 8.203 (4.208)
Epoch: [0][640/5005] Time 0.217 (0.234) Data 0.042 (0.066) Loss 5.9506 (6.6017) Prec@1 3.516 (1.147) Prec@5 10.156 (4.264)
Epoch: [0][650/5005] Time 0.212 (0.233) Data 0.052 (0.066) Loss 6.1723 (6.5934) Prec@1 1.562 (1.169) Prec@5 8.594 (4.336)
Epoch: [0][660/5005] Time 0.211 (0.233) Data 0.045 (0.065) Loss 6.0399 (6.5851) Prec@1 3.906 (1.193) Prec@5 7.422 (4.393)
Epoch: [0][670/5005] Time 0.215 (0.233) Data 0.043 (0.065) Loss 6.2194 (6.5782) Prec@1 2.734 (1.207) Prec@5 9.375 (4.455)
Epoch: [0][680/5005] Time 0.216 (0.233) Data 0.043 (0.065) Loss 6.0910 (6.5711) Prec@1 1.953 (1.229) Prec@5 6.641 (4.507)
Epoch: [0][690/5005] Time 0.218 (0.232) Data 0.048 (0.064) Loss 5.9838 (6.5633) Prec@1 2.344 (1.253) Prec@5 7.812 (4.568)
Epoch: [0][700/5005] Time 0.212 (0.232) Data 0.044 (0.064) Loss 5.9826 (6.5557) Prec@1 1.172 (1.268) Prec@5 8.594 (4.625)
Epoch: [0][710/5005] Time 0.208 (0.232) Data 0.044 (0.064) Loss 5.9519 (6.5483) Prec@1 5.859 (1.294) Prec@5 12.500 (4.694)
Epoch: [0][720/5005] Time 0.216 (0.232) Data 0.042 (0.063) Loss 6.0362 (6.5410) Prec@1 2.344 (1.314) Prec@5 8.203 (4.766)
Epoch: [0][730/5005] Time 0.214 (0.231) Data 0.042 (0.063) Loss 6.1758 (6.5342) Prec@1 2.344 (1.327) Prec@5 8.203 (4.827)
Epoch: [0][740/5005] Time 0.214 (0.231) Data 0.046 (0.063) Loss 6.1138 (6.5267) Prec@1 4.297 (1.353) Prec@5 10.547 (4.906)
Epoch: [0][750/5005] Time 0.210 (0.231) Data 0.041 (0.063) Loss 5.9764 (6.5191) Prec@1 3.906 (1.369) Prec@5 10.938 (4.959)
Epoch: [0][760/5005] Time 0.210 (0.231) Data 0.041 (0.062) Loss 6.1782 (6.5121) Prec@1 1.172 (1.387) Prec@5 6.250 (5.019)
Epoch: [0][770/5005] Time 0.210 (0.230) Data 0.043 (0.062) Loss 5.9005 (6.5045) Prec@1 2.734 (1.413) Prec@5 11.719 (5.093)
Epoch: [0][780/5005] Time 0.211 (0.230) Data 0.039 (0.062) Loss 5.9963 (6.4974) Prec@1 3.906 (1.434) Prec@5 9.766 (5.155)
Epoch: [0][790/5005] Time 0.217 (0.230) Data 0.042 (0.062) Loss 5.7211 (6.4899) Prec@1 7.031 (1.461) Prec@5 18.359 (5.224)
Epoch: [0][800/5005] Time 0.209 (0.230) Data 0.055 (0.062) Loss 5.8705 (6.4832) Prec@1 4.688 (1.485) Prec@5 13.281 (5.289)
Epoch: [0][810/5005] Time 0.211 (0.229) Data 0.050 (0.061) Loss 5.8174 (6.4768) Prec@1 5.859 (1.507) Prec@5 12.109 (5.346)
Epoch: [0][820/5005] Time 0.202 (0.229) Data 0.047 (0.062) Loss 6.0097 (6.4698) Prec@1 3.516 (1.526) Prec@5 12.109 (5.403)
Epoch: [0][830/5005] Time 0.212 (0.229) Data 0.046 (0.062) Loss 5.8226 (6.4627) Prec@1 2.734 (1.544) Prec@5 10.547 (5.466)
Epoch: [0][840/5005] Time 0.210 (0.229) Data 0.044 (0.063) Loss 5.8547 (6.4566) Prec@1 1.953 (1.557) Prec@5 10.156 (5.521)
Epoch: [0][850/5005] Time 0.207 (0.229) Data 0.054 (0.063) Loss 5.8574 (6.4489) Prec@1 2.734 (1.586) Prec@5 12.891 (5.600)
Epoch: [0][860/5005] Time 0.208 (0.229) Data 0.040 (0.063) Loss 5.7418 (6.4410) Prec@1 4.297 (1.612) Prec@5 13.281 (5.670)
Epoch: [0][870/5005] Time 0.426 (0.229) Data 0.343 (0.064) Loss 5.8935 (6.4337) Prec@1 4.688 (1.640) Prec@5 14.453 (5.746)
Epoch: [0][880/5005] Time 0.216 (0.229) Data 0.044 (0.064) Loss 5.7645 (6.4267) Prec@1 4.297 (1.663) Prec@5 11.719 (5.809)
Epoch: [0][890/5005] Time 0.208 (0.229) Data 0.047 (0.064) Loss 5.7792 (6.4202) Prec@1 3.125 (1.691) Prec@5 14.062 (5.880)
Epoch: [0][900/5005] Time 0.199 (0.229) Data 0.047 (0.064) Loss 5.7301 (6.4137) Prec@1 5.469 (1.709) Prec@5 12.500 (5.935)
Epoch: [0][910/5005] Time 0.194 (0.229) Data 0.110 (0.064) Loss 5.7582 (6.4068) Prec@1 2.734 (1.728) Prec@5 13.672 (5.999)
Epoch: [0][920/5005] Time 0.210 (0.229) Data 0.047 (0.064) Loss 5.6033 (6.3991) Prec@1 6.250 (1.752) Prec@5 16.406 (6.075)
Epoch: [0][930/5005] Time 0.211 (0.229) Data 0.065 (0.065) Loss 5.6736 (6.3918) Prec@1 3.906 (1.778) Prec@5 16.016 (6.151)
Epoch: [0][940/5005] Time 0.206 (0.229) Data 0.049 (0.065) Loss 5.7162 (6.3852) Prec@1 1.562 (1.803) Prec@5 9.766 (6.213)
Epoch: [0][950/5005] Time 0.199 (0.231) Data 0.039 (0.067) Loss 5.9762 (6.3791) Prec@1 1.562 (1.822) Prec@5 9.766 (6.286)
Epoch: [0][960/5005] Time 0.197 (0.231) Data 0.052 (0.067) Loss 5.8712 (6.3722) Prec@1 2.344 (1.847) Prec@5 12.891 (6.361)
Epoch: [0][970/5005] Time 0.697 (0.231) Data 0.611 (0.068) Loss 5.6273 (6.3658) Prec@1 3.906 (1.866) Prec@5 14.062 (6.426)
Epoch: [0][980/5005] Time 0.233 (0.231) Data 0.144 (0.068) Loss 5.6912 (6.3586) Prec@1 4.297 (1.895) Prec@5 14.453 (6.506)
Epoch: [0][990/5005] Time 0.209 (0.231) Data 0.047 (0.068) Loss 5.7012 (6.3521) Prec@1 4.297 (1.917) Prec@5 12.891 (6.571)
Epoch: [0][1000/5005] Time 0.213 (0.231) Data 0.047 (0.068) Loss 5.7877 (6.3451) Prec@1 2.734 (1.945) Prec@5 11.719 (6.643)
Epoch: [0][1010/5005] Time 0.213 (0.230) Data 0.040 (0.067) Loss 5.6549 (6.3388) Prec@1 5.078 (1.966) Prec@5 11.719 (6.713)
Epoch: [0][1020/5005] Time 0.203 (0.230) Data 0.049 (0.067) Loss 5.5381 (6.3327) Prec@1 2.734 (1.984) Prec@5 16.016 (6.775)
Epoch: [0][1030/5005] Time 0.197 (0.230) Data 0.052 (0.067) Loss 5.7447 (6.3260) Prec@1 3.125 (2.007) Prec@5 10.156 (6.841)
Epoch: [0][1040/5005] Time 0.225 (0.230) Data 0.042 (0.067) Loss 5.7472 (6.3196) Prec@1 3.516 (2.027) Prec@5 11.328 (6.912)
Epoch: [0][1050/5005] Time 0.202 (0.230) Data 0.041 (0.066) Loss 5.7331 (6.3140) Prec@1 3.516 (2.051) Prec@5 13.281 (6.971)
Epoch: [0][1060/5005] Time 0.210 (0.229) Data 0.042 (0.066) Loss 5.4306 (6.3085) Prec@1 5.859 (2.071) Prec@5 16.406 (7.029)
Epoch: [0][1070/5005] Time 0.206 (0.229) Data 0.041 (0.066) Loss 5.5691 (6.3026) Prec@1 4.688 (2.085) Prec@5 14.453 (7.077)
Epoch: [0][1080/5005] Time 0.210 (0.229) Data 0.044 (0.066) Loss 5.6103 (6.2966) Prec@1 3.906 (2.102) Prec@5 11.328 (7.129)
Epoch: [0][1090/5005] Time 0.208 (0.229) Data 0.043 (0.066) Loss 5.5980 (6.2906) Prec@1 1.562 (2.119) Prec@5 14.453 (7.187)
Epoch: [0][1100/5005] Time 0.218 (0.229) Data 0.042 (0.065) Loss 5.5934 (6.2846) Prec@1 3.906 (2.144) Prec@5 13.281 (7.252)
Epoch: [0][1110/5005] Time 0.211 (0.229) Data 0.052 (0.065) Loss 5.7548 (6.2785) Prec@1 5.469 (2.174) Prec@5 14.062 (7.323)
Epoch: [0][1120/5005] Time 0.206 (0.228) Data 0.058 (0.065) Loss 5.6588 (6.2728) Prec@1 6.641 (2.191) Prec@5 17.188 (7.382)
Epoch: [0][1130/5005] Time 0.217 (0.228) Data 0.042 (0.065) Loss 5.6555 (6.2673) Prec@1 5.078 (2.214) Prec@5 13.281 (7.438)
Epoch: [0][1140/5005] Time 0.214 (0.228) Data 0.046 (0.065) Loss 5.4971 (6.2612) Prec@1 3.516 (2.246) Prec@5 14.453 (7.501)
Epoch: [0][1150/5005] Time 0.210 (0.228) Data 0.046 (0.065) Loss 5.5268 (6.2550) Prec@1 7.422 (2.273) Prec@5 16.016 (7.563)
Epoch: [0][1160/5005] Time 0.210 (0.228) Data 0.050 (0.064) Loss 5.6109 (6.2494) Prec@1 3.125 (2.298) Prec@5 14.062 (7.625)
Epoch: [0][1170/5005] Time 0.215 (0.228) Data 0.045 (0.064) Loss 5.6259 (6.2434) Prec@1 3.516 (2.319) Prec@5 14.062 (7.690)
Epoch: [0][1180/5005] Time 0.217 (0.227) Data 0.045 (0.064) Loss 5.7265 (6.2375) Prec@1 4.297 (2.346) Prec@5 13.281 (7.755)
Epoch: [0][1190/5005] Time 0.213 (0.227) Data 0.042 (0.064) Loss 5.4529 (6.2319) Prec@1 5.859 (2.371) Prec@5 15.234 (7.807)
Epoch: [0][1200/5005] Time 0.218 (0.227) Data 0.044 (0.064) Loss 5.4909 (6.2266) Prec@1 6.250 (2.396) Prec@5 14.453 (7.866)
Epoch: [0][1210/5005] Time 0.205 (0.227) Data 0.045 (0.064) Loss 5.8142 (6.2215) Prec@1 4.688 (2.418) Prec@5 12.891 (7.928)
Epoch: [0][1220/5005] Time 0.211 (0.227) Data 0.049 (0.064) Loss 5.5700 (6.2162) Prec@1 4.688 (2.437) Prec@5 17.188 (7.987)
Epoch: [0][1230/5005] Time 0.196 (0.227) Data 0.060 (0.064) Loss 5.4756 (6.2110) Prec@1 4.688 (2.456) Prec@5 14.844 (8.041)
Epoch: [0][1240/5005] Time 0.195 (0.227) Data 0.049 (0.064) Loss 5.4448 (6.2051) Prec@1 7.812 (2.491) Prec@5 15.625 (8.108)
Epoch: [0][1250/5005] Time 0.205 (0.227) Data 0.053 (0.064) Loss 5.6835 (6.1997) Prec@1 6.250 (2.509) Prec@5 12.109 (8.167)
Epoch: [0][1260/5005] Time 0.211 (0.227) Data 0.045 (0.064) Loss 5.3078 (6.1944) Prec@1 6.641 (2.532) Prec@5 17.578 (8.224)
Epoch: [0][1270/5005] Time 0.393 (0.227) Data 0.312 (0.064) Loss 5.3959 (6.1892) Prec@1 6.250 (2.556) Prec@5 19.141 (8.278)
Epoch: [0][1280/5005] Time 0.196 (0.227) Data 0.095 (0.064) Loss 5.5747 (6.1843) Prec@1 4.688 (2.576) Prec@5 12.891 (8.328)
Epoch: [0][1290/5005] Time 0.206 (0.227) Data 0.054 (0.064) Loss 5.4088 (6.1792) Prec@1 5.469 (2.593) Prec@5 19.141 (8.386)
Epoch: [0][1300/5005] Time 0.204 (0.227) Data 0.051 (0.064) Loss 5.3191 (6.1736) Prec@1 6.641 (2.617) Prec@5 18.750 (8.453)
Epoch: [0][1310/5005] Time 0.213 (0.227) Data 0.063 (0.065) Loss 5.6051 (6.1684) Prec@1 4.688 (2.633) Prec@5 15.234 (8.503)
Epoch: [0][1320/5005] Time 0.206 (0.227) Data 0.044 (0.065) Loss 5.5545 (6.1632) Prec@1 4.297 (2.655) Prec@5 14.062 (8.558)
Epoch: [0][1330/5005] Time 0.212 (0.227) Data 0.050 (0.065) Loss 5.5854 (6.1585) Prec@1 6.250 (2.672) Prec@5 13.672 (8.600)
Epoch: [0][1340/5005] Time 0.204 (0.227) Data 0.042 (0.065) Loss 5.3146 (6.1531) Prec@1 8.594 (2.701) Prec@5 17.578 (8.658)
Epoch: [0][1350/5005] Time 0.204 (0.227) Data 0.044 (0.065) Loss 5.5441 (6.1479) Prec@1 5.859 (2.730) Prec@5 15.625 (8.723)
Epoch: [0][1360/5005] Time 0.210 (0.226) Data 0.046 (0.065) Loss 5.4140 (6.1431) Prec@1 7.031 (2.748) Prec@5 17.969 (8.776)
Epoch: [0][1370/5005] Time 0.217 (0.226) Data 0.071 (0.065) Loss 5.5857 (6.1378) Prec@1 4.297 (2.774) Prec@5 15.234 (8.837)
Epoch: [0][1380/5005] Time 0.209 (0.226) Data 0.040 (0.065) Loss 5.4613 (6.1328) Prec@1 4.297 (2.797) Prec@5 14.062 (8.892)
Epoch: [0][1390/5005] Time 0.212 (0.226) Data 0.086 (0.065) Loss 5.3518 (6.1279) Prec@1 5.078 (2.820) Prec@5 17.578 (8.953)
Epoch: [0][1400/5005] Time 0.204 (0.226) Data 0.104 (0.065) Loss 5.3500 (6.1228) Prec@1 8.594 (2.841) Prec@5 20.703 (9.006)
Epoch: [0][1410/5005] Time 0.200 (0.226) Data 0.062 (0.066) Loss 5.4368 (6.1178) Prec@1 7.031 (2.865) Prec@5 17.969 (9.063)
Epoch: [0][1420/5005] Time 0.205 (0.226) Data 0.042 (0.066) Loss 5.6121 (6.1132) Prec@1 4.297 (2.883) Prec@5 14.844 (9.120)
Epoch: [0][1430/5005] Time 0.268 (0.226) Data 0.179 (0.066) Loss 5.2908 (6.1083) Prec@1 4.688 (2.902) Prec@5 16.406 (9.169)
Epoch: [0][1440/5005] Time 0.199 (0.226) Data 0.048 (0.066) Loss 5.3402 (6.1037) Prec@1 4.297 (2.923) Prec@5 19.141 (9.219)
Epoch: [0][1450/5005] Time 0.203 (0.227) Data 0.044 (0.066) Loss 5.4008 (6.0988) Prec@1 5.469 (2.946) Prec@5 16.797 (9.276)
Epoch: [0][1460/5005] Time 0.205 (0.226) Data 0.047 (0.066) Loss 5.3258 (6.0938) Prec@1 5.859 (2.975) Prec@5 17.969 (9.338)
Epoch: [0][1470/5005] Time 0.206 (0.226) Data 0.045 (0.066) Loss 5.3869 (6.0893) Prec@1 5.469 (2.995) Prec@5 17.188 (9.390)
Epoch: [0][1480/5005] Time 0.208 (0.226) Data 0.050 (0.066) Loss 5.4087 (6.0845) Prec@1 7.422 (3.016) Prec@5 19.922 (9.444)
Epoch: [0][1490/5005] Time 0.201 (0.226) Data 0.049 (0.066) Loss 5.3254 (6.0796) Prec@1 7.812 (3.036) Prec@5 19.531 (9.504)
Epoch: [0][1500/5005] Time 0.201 (0.226) Data 0.039 (0.066) Loss 5.5426 (6.0753) Prec@1 5.859 (3.054) Prec@5 16.016 (9.553)
Epoch: [0][1510/5005] Time 0.424 (0.226) Data 0.343 (0.066) Loss 5.1100 (6.0702) Prec@1 6.250 (3.076) Prec@5 23.047 (9.614)
Epoch: [0][1520/5005] Time 0.198 (0.226) Data 0.040 (0.066) Loss 5.4022 (6.0654) Prec@1 7.031 (3.096) Prec@5 19.141 (9.666)
Epoch: [0][1530/5005] Time 0.388 (0.226) Data 0.302 (0.067) Loss 5.3520 (6.0607) Prec@1 5.859 (3.123) Prec@5 15.625 (9.725)
Epoch: [0][1540/5005] Time 0.198 (0.226) Data 0.046 (0.067) Loss 5.5803 (6.0566) Prec@1 5.469 (3.140) Prec@5 17.188 (9.768)
Epoch: [0][1550/5005] Time 0.210 (0.226) Data 0.041 (0.067) Loss 5.3072 (6.0518) Prec@1 9.766 (3.168) Prec@5 21.094 (9.826)
Epoch: [0][1560/5005] Time 0.204 (0.226) Data 0.047 (0.067) Loss 5.1749 (6.0473) Prec@1 8.203 (3.185) Prec@5 18.750 (9.876)
Epoch: [0][1570/5005] Time 0.210 (0.226) Data 0.048 (0.067) Loss 5.1812 (6.0425) Prec@1 8.203 (3.209) Prec@5 21.484 (9.936)
Epoch: [0][1580/5005] Time 0.217 (0.226) Data 0.040 (0.066) Loss 5.3859 (6.0381) Prec@1 6.250 (3.232) Prec@5 17.188 (9.987)
Epoch: [0][1590/5005] Time 0.200 (0.226) Data 0.045 (0.066) Loss 5.2809 (6.0334) Prec@1 5.078 (3.252) Prec@5 17.969 (10.045)
Epoch: [0][1600/5005] Time 0.274 (0.226) Data 0.192 (0.066) Loss 5.3503 (6.0294) Prec@1 5.859 (3.269) Prec@5 16.797 (10.092)
Epoch: [0][1610/5005] Time 0.202 (0.226) Data 0.044 (0.067) Loss 5.4093 (6.0252) Prec@1 5.859 (3.291) Prec@5 15.625 (10.142)
Epoch: [0][1620/5005] Time 0.188 (0.227) Data 0.049 (0.067) Loss 5.3676 (6.0209) Prec@1 7.812 (3.308) Prec@5 19.141 (10.191)
Epoch: [0][1630/5005] Time 0.213 (0.226) Data 0.043 (0.067) Loss 5.3535 (6.0168) Prec@1 7.031 (3.329) Prec@5 16.016 (10.238)
Epoch: [0][1640/5005] Time 0.205 (0.226) Data 0.040 (0.067) Loss 5.2651 (6.0125) Prec@1 5.469 (3.353) Prec@5 19.531 (10.296)
Epoch: [0][1650/5005] Time 0.203 (0.226) Data 0.040 (0.067) Loss 5.3850 (6.0082) Prec@1 8.203 (3.376) Prec@5 19.141 (10.349)
Epoch: [0][1660/5005] Time 0.203 (0.226) Data 0.044 (0.067) Loss 5.1457 (6.0034) Prec@1 5.859 (3.403) Prec@5 21.484 (10.410)
Epoch: [0][1670/5005] Time 0.201 (0.226) Data 0.115 (0.067) Loss 5.1978 (5.9995) Prec@1 6.250 (3.421) Prec@5 23.438 (10.458)
Epoch: [0][1680/5005] Time 0.265 (0.226) Data 0.180 (0.067) Loss 5.3450 (5.9953) Prec@1 7.031 (3.444) Prec@5 19.141 (10.513)
Epoch: [0][1690/5005] Time 0.203 (0.226) Data 0.079 (0.067) Loss 5.0634 (5.9906) Prec@1 8.984 (3.470) Prec@5 22.656 (10.573)
Epoch: [0][1700/5005] Time 0.206 (0.226) Data 0.043 (0.067) Loss 5.0812 (5.9862) Prec@1 7.812 (3.491) Prec@5 18.750 (10.633)
Epoch: [0][1710/5005] Time 0.325 (0.226) Data 0.240 (0.067) Loss 4.9856 (5.9815) Prec@1 9.375 (3.517) Prec@5 23.828 (10.690)
Epoch: [0][1720/5005] Time 0.200 (0.226) Data 0.057 (0.067) Loss 5.1772 (5.9774) Prec@1 9.766 (3.540) Prec@5 19.922 (10.740)
Epoch: [0][1730/5005] Time 0.212 (0.226) Data 0.047 (0.067) Loss 5.0836 (5.9729) Prec@1 6.641 (3.563) Prec@5 21.484 (10.798)
Epoch: [0][1740/5005] Time 0.205 (0.226) Data 0.046 (0.067) Loss 5.2714 (5.9685) Prec@1 5.859 (3.588) Prec@5 19.922 (10.851)
Epoch: [0][1750/5005] Time 0.395 (0.226) Data 0.305 (0.068) Loss 5.1449 (5.9643) Prec@1 8.984 (3.609) Prec@5 19.922 (10.902)
Epoch: [0][1760/5005] Time 0.201 (0.226) Data 0.045 (0.068) Loss 5.0175 (5.9601) Prec@1 8.203 (3.631) Prec@5 24.219 (10.952)
Epoch: [0][1770/5005] Time 0.206 (0.226) Data 0.039 (0.068) Loss 5.2299 (5.9557) Prec@1 6.641 (3.651) Prec@5 17.969 (11.003)
Epoch: [0][1780/5005] Time 0.207 (0.226) Data 0.044 (0.068) Loss 5.1444 (5.9516) Prec@1 7.422 (3.672) Prec@5 18.750 (11.052)
Epoch: [0][1790/5005] Time 0.200 (0.226) Data 0.045 (0.068) Loss 5.2537 (5.9472) Prec@1 6.250 (3.694) Prec@5 17.188 (11.107)
Epoch: [0][1800/5005] Time 0.203 (0.226) Data 0.046 (0.068) Loss 5.1826 (5.9432) Prec@1 7.031 (3.713) Prec@5 22.656 (11.157)
Epoch: [0][1810/5005] Time 0.281 (0.226) Data 0.192 (0.068) Loss 5.2898 (5.9394) Prec@1 6.641 (3.734) Prec@5 18.750 (11.204)
Epoch: [0][1820/5005] Time 0.206 (0.226) Data 0.042 (0.068) Loss 5.1339 (5.9353) Prec@1 5.859 (3.756) Prec@5 18.750 (11.259)
Epoch: [0][1830/5005] Time 0.206 (0.226) Data 0.055 (0.068) Loss 5.0167 (5.9311) Prec@1 10.547 (3.779) Prec@5 24.609 (11.315)
Epoch: [0][1840/5005] Time 0.208 (0.226) Data 0.045 (0.068) Loss 5.3152 (5.9272) Prec@1 7.422 (3.796) Prec@5 19.141 (11.364)
Epoch: [0][1850/5005] Time 0.197 (0.226) Data 0.112 (0.068) Loss 5.3765 (5.9235) Prec@1 6.250 (3.815) Prec@5 15.234 (11.407)
Epoch: [0][1860/5005] Time 0.197 (0.226) Data 0.050 (0.068) Loss 5.1325 (5.9199) Prec@1 7.031 (3.830) Prec@5 20.703 (11.448)
Epoch: [0][1870/5005] Time 0.216 (0.226) Data 0.049 (0.068) Loss 5.3246 (5.9166) Prec@1 5.078 (3.847) Prec@5 17.578 (11.488)
Epoch: [0][1880/5005] Time 0.203 (0.226) Data 0.047 (0.068) Loss 5.0847 (5.9129) Prec@1 7.812 (3.868) Prec@5 22.266 (11.533)
Epoch: [0][1890/5005] Time 0.200 (0.226) Data 0.043 (0.068) Loss 5.4777 (5.9091) Prec@1 4.688 (3.890) Prec@5 16.797 (11.585)
Epoch: [0][1900/5005] Time 0.207 (0.226) Data 0.045 (0.069) Loss 5.0956 (5.9055) Prec@1 7.031 (3.911) Prec@5 18.750 (11.629)
Epoch: [0][1910/5005] Time 0.199 (0.226) Data 0.045 (0.069) Loss 5.1652 (5.9017) Prec@1 5.859 (3.927) Prec@5 19.531 (11.675)
Epoch: [0][1920/5005] Time 0.296 (0.226) Data 0.210 (0.069) Loss 5.3306 (5.8978) Prec@1 7.422 (3.949) Prec@5 21.094 (11.726)
Epoch: [0][1930/5005] Time 0.207 (0.226) Data 0.039 (0.069) Loss 5.0021 (5.8940) Prec@1 8.594 (3.970) Prec@5 25.781 (11.774)
Epoch: [0][1940/5005] Time 0.203 (0.226) Data 0.040 (0.069) Loss 4.9650 (5.8900) Prec@1 10.547 (3.993) Prec@5 25.781 (11.829)
Epoch: [0][1950/5005] Time 0.198 (0.226) Data 0.056 (0.069) Loss 5.2760 (5.8863) Prec@1 5.859 (4.013) Prec@5 15.625 (11.873)
Epoch: [0][1960/5005] Time 0.200 (0.226) Data 0.039 (0.069) Loss 5.0112 (5.8826) Prec@1 10.156 (4.034) Prec@5 23.438 (11.921)
Epoch: [0][1970/5005] Time 0.212 (0.226) Data 0.048 (0.069) Loss 5.0314 (5.8790) Prec@1 8.984 (4.054) Prec@5 25.000 (11.966)
Epoch: [0][1980/5005] Time 0.205 (0.226) Data 0.045 (0.069) Loss 5.0326 (5.8754) Prec@1 8.984 (4.072) Prec@5 21.875 (12.014)
Epoch: [0][1990/5005] Time 0.213 (0.226) Data 0.127 (0.069) Loss 5.1188 (5.8719) Prec@1 9.375 (4.091) Prec@5 22.266 (12.058)
Epoch: [0][2000/5005] Time 0.204 (0.226) Data 0.051 (0.069) Loss 4.9621 (5.8684) Prec@1 8.594 (4.110) Prec@5 22.656 (12.106)
Epoch: [0][2010/5005] Time 0.206 (0.226) Data 0.047 (0.069) Loss 5.1774 (5.8652) Prec@1 6.641 (4.127) Prec@5 17.578 (12.145)
Epoch: [0][2020/5005] Time 0.200 (0.226) Data 0.048 (0.069) Loss 4.9586 (5.8615) Prec@1 9.766 (4.147) Prec@5 28.516 (12.197)
Epoch: [0][2030/5005] Time 0.216 (0.226) Data 0.045 (0.069) Loss 5.0980 (5.8580) Prec@1 7.422 (4.166) Prec@5 22.266 (12.244)
Epoch: [0][2040/5005] Time 0.203 (0.226) Data 0.044 (0.069) Loss 5.0138 (5.8541) Prec@1 7.422 (4.187) Prec@5 20.312 (12.292)
Epoch: [0][2050/5005] Time 0.191 (0.226) Data 0.059 (0.069) Loss 5.0187 (5.8504) Prec@1 7.812 (4.205) Prec@5 25.391 (12.343)
Epoch: [0][2060/5005] Time 0.215 (0.226) Data 0.045 (0.069) Loss 5.1148 (5.8468) Prec@1 9.375 (4.224) Prec@5 22.656 (12.389)
Epoch: [0][2070/5005] Time 0.204 (0.226) Data 0.045 (0.069) Loss 5.0596 (5.8432) Prec@1 10.938 (4.248) Prec@5 24.609 (12.435)
Epoch: [0][2080/5005] Time 0.203 (0.226) Data 0.047 (0.069) Loss 5.1637 (5.8400) Prec@1 7.422 (4.267) Prec@5 19.922 (12.479)
Epoch: [0][2090/5005] Time 0.210 (0.226) Data 0.045 (0.069) Loss 4.9998 (5.8363) Prec@1 7.812 (4.286) Prec@5 22.656 (12.527)
Epoch: [0][2100/5005] Time 0.190 (0.226) Data 0.042 (0.069) Loss 4.9895 (5.8328) Prec@1 6.250 (4.307) Prec@5 24.219 (12.576)
Epoch: [0][2110/5005] Time 0.199 (0.226) Data 0.042 (0.069) Loss 5.0371 (5.8295) Prec@1 8.594 (4.330) Prec@5 26.562 (12.628)
Epoch: [0][2120/5005] Time 0.203 (0.226) Data 0.046 (0.069) Loss 5.3085 (5.8263) Prec@1 7.031 (4.347) Prec@5 21.094 (12.668)
Epoch: [0][2130/5005] Time 0.208 (0.226) Data 0.048 (0.069) Loss 5.1501 (5.8227) Prec@1 7.812 (4.367) Prec@5 23.828 (12.718)
Epoch: [0][2140/5005] Time 0.205 (0.226) Data 0.057 (0.069) Loss 5.0475 (5.8193) Prec@1 9.766 (4.390) Prec@5 19.141 (12.767)
Epoch: [0][2150/5005] Time 0.200 (0.225) Data 0.102 (0.069) Loss 5.0108 (5.8160) Prec@1 7.031 (4.402) Prec@5 22.656 (12.814)
Epoch: [0][2160/5005] Time 0.185 (0.225) Data 0.100 (0.069) Loss 4.9751 (5.8126) Prec@1 10.156 (4.425) Prec@5 20.312 (12.862)
Epoch: [0][2170/5005] Time 0.371 (0.226) Data 0.291 (0.069) Loss 5.0238 (5.8089) Prec@1 8.203 (4.443) Prec@5 21.094 (12.907)
Epoch: [0][2180/5005] Time 0.197 (0.226) Data 0.047 (0.069) Loss 5.1248 (5.8055) Prec@1 9.375 (4.468) Prec@5 23.047 (12.956)
Epoch: [0][2190/5005] Time 0.195 (0.226) Data 0.051 (0.070) Loss 5.3667 (5.8022) Prec@1 3.906 (4.485) Prec@5 17.578 (12.999)
Epoch: [0][2200/5005] Time 0.203 (0.226) Data 0.038 (0.070) Loss 4.9813 (5.7986) Prec@1 7.812 (4.504) Prec@5 24.219 (13.046)
Epoch: [0][2210/5005] Time 0.224 (0.226) Data 0.143 (0.070) Loss 5.1159 (5.7954) Prec@1 11.328 (4.528) Prec@5 24.609 (13.094)
Epoch: [0][2220/5005] Time 0.199 (0.226) Data 0.044 (0.070) Loss 5.1015 (5.7920) Prec@1 6.250 (4.548) Prec@5 22.266 (13.140)
Epoch: [0][2230/5005] Time 0.199 (0.226) Data 0.055 (0.070) Loss 4.9352 (5.7885) Prec@1 10.938 (4.569) Prec@5 26.562 (13.188)
Epoch: [0][2240/5005] Time 0.205 (0.226) Data 0.052 (0.070) Loss 5.1839 (5.7855) Prec@1 4.688 (4.584) Prec@5 17.969 (13.226)
Epoch: [0][2250/5005] Time 0.205 (0.226) Data 0.040 (0.070) Loss 4.8818 (5.7820) Prec@1 8.984 (4.604) Prec@5 27.344 (13.273)
Epoch: [0][2260/5005] Time 0.210 (0.226) Data 0.042 (0.070) Loss 4.8860 (5.7783) Prec@1 11.719 (4.625) Prec@5 26.172 (13.321)
Epoch: [0][2270/5005] Time 0.311 (0.226) Data 0.225 (0.070) Loss 5.1414 (5.7748) Prec@1 7.031 (4.646) Prec@5 21.094 (13.370)
Epoch: [0][2280/5005] Time 0.192 (0.226) Data 0.048 (0.070) Loss 4.9204 (5.7718) Prec@1 8.203 (4.661) Prec@5 21.484 (13.408)
Epoch: [0][2290/5005] Time 0.197 (0.226) Data 0.048 (0.070) Loss 4.9657 (5.7683) Prec@1 7.812 (4.680) Prec@5 22.266 (13.454)
Epoch: [0][2300/5005] Time 0.196 (0.226) Data 0.061 (0.070) Loss 4.9973 (5.7653) Prec@1 7.031 (4.695) Prec@5 25.000 (13.495)
Epoch: [0][2310/5005] Time 0.211 (0.226) Data 0.046 (0.070) Loss 4.9135 (5.7618) Prec@1 10.156 (4.713) Prec@5 25.781 (13.544)
Epoch: [0][2320/5005] Time 0.204 (0.226) Data 0.054 (0.070) Loss 5.1183 (5.7589) Prec@1 7.031 (4.730) Prec@5 19.141 (13.583)
Epoch: [0][2330/5005] Time 0.205 (0.226) Data 0.050 (0.070) Loss 5.0320 (5.7558) Prec@1 8.203 (4.749) Prec@5 21.484 (13.624)
Epoch: [0][2340/5005] Time 0.200 (0.226) Data 0.051 (0.070) Loss 4.9353 (5.7524) Prec@1 12.500 (4.774) Prec@5 27.734 (13.674)
Epoch: [0][2350/5005] Time 0.206 (0.226) Data 0.120 (0.070) Loss 4.9725 (5.7492) Prec@1 11.328 (4.795) Prec@5 23.438 (13.720)
Epoch: [0][2360/5005] Time 0.196 (0.226) Data 0.084 (0.070) Loss 4.7301 (5.7460) Prec@1 12.109 (4.814) Prec@5 30.078 (13.768)
Epoch: [0][2370/5005] Time 0.510 (0.226) Data 0.421 (0.071) Loss 5.0677 (5.7430) Prec@1 6.250 (4.829) Prec@5 20.703 (13.806)
Epoch: [0][2380/5005] Time 0.202 (0.226) Data 0.050 (0.071) Loss 5.0971 (5.7400) Prec@1 8.984 (4.848) Prec@5 21.875 (13.844)
Epoch: [0][2390/5005] Time 0.216 (0.226) Data 0.050 (0.071) Loss 5.1412 (5.7367) Prec@1 5.859 (4.872) Prec@5 17.578 (13.892)
Epoch: [0][2400/5005] Time 0.197 (0.226) Data 0.051 (0.071) Loss 4.9058 (5.7336) Prec@1 10.547 (4.889) Prec@5 25.391 (13.931)
Epoch: [0][2410/5005] Time 0.206 (0.226) Data 0.046 (0.071) Loss 4.9647 (5.7306) Prec@1 10.547 (4.906) Prec@5 28.125 (13.977)
Epoch: [0][2420/5005] Time 0.197 (0.226) Data 0.047 (0.071) Loss 4.9986 (5.7275) Prec@1 8.984 (4.925) Prec@5 23.828 (14.016)
Epoch: [0][2430/5005] Time 0.205 (0.226) Data 0.047 (0.071) Loss 4.9656 (5.7246) Prec@1 10.156 (4.947) Prec@5 26.172 (14.059)
Epoch: [0][2440/5005] Time 0.221 (0.226) Data 0.046 (0.071) Loss 4.7767 (5.7216) Prec@1 11.328 (4.966) Prec@5 26.953 (14.098)
Epoch: [0][2450/5005] Time 0.196 (0.226) Data 0.045 (0.071) Loss 4.8109 (5.7183) Prec@1 8.984 (4.986) Prec@5 30.078 (14.142)
Epoch: [0][2460/5005] Time 0.205 (0.226) Data 0.043 (0.071) Loss 4.9193 (5.7153) Prec@1 7.031 (5.003) Prec@5 24.219 (14.181)
Epoch: [0][2470/5005] Time 0.208 (0.226) Data 0.042 (0.071) Loss 4.9903 (5.7123) Prec@1 9.766 (5.020) Prec@5 23.828 (14.222)
Epoch: [0][2480/5005] Time 0.198 (0.225) Data 0.095 (0.071) Loss 5.0486 (5.7093) Prec@1 10.156 (5.039) Prec@5 23.047 (14.264)
Epoch: [0][2490/5005] Time 0.423 (0.226) Data 0.336 (0.071) Loss 4.9397 (5.7064) Prec@1 7.031 (5.055) Prec@5 24.609 (14.303)
Epoch: [0][2500/5005] Time 0.204 (0.226) Data 0.040 (0.071) Loss 4.9042 (5.7031) Prec@1 8.984 (5.080) Prec@5 26.953 (14.355)
Epoch: [0][2510/5005] Time 0.198 (0.226) Data 0.051 (0.071) Loss 4.7739 (5.7000) Prec@1 10.156 (5.099) Prec@5 26.562 (14.396)
Epoch: [0][2520/5005] Time 0.197 (0.226) Data 0.046 (0.071) Loss 4.9903 (5.6971) Prec@1 6.250 (5.117) Prec@5 22.266 (14.436)
Epoch: [0][2530/5005] Time 0.193 (0.226) Data 0.063 (0.072) Loss 4.9859 (5.6941) Prec@1 11.328 (5.137) Prec@5 26.172 (14.479)
Epoch: [0][2540/5005] Time 0.205 (0.226) Data 0.042 (0.072) Loss 5.0539 (5.6912) Prec@1 10.547 (5.154) Prec@5 21.484 (14.520)
Epoch: [0][2550/5005] Time 0.200 (0.226) Data 0.053 (0.072) Loss 4.9260 (5.6881) Prec@1 10.156 (5.176) Prec@5 23.047 (14.562)
Epoch: [0][2560/5005] Time 0.333 (0.226) Data 0.253 (0.072) Loss 4.9796 (5.6852) Prec@1 11.328 (5.193) Prec@5 24.609 (14.604)
Epoch: [0][2570/5005] Time 0.202 (0.225) Data 0.051 (0.072) Loss 4.7530 (5.6822) Prec@1 10.938 (5.213) Prec@5 27.734 (14.645)
Epoch: [0][2580/5005] Time 0.318 (0.226) Data 0.235 (0.072) Loss 4.8901 (5.6797) Prec@1 9.375 (5.229) Prec@5 22.656 (14.677)
Epoch: [0][2590/5005] Time 0.203 (0.225) Data 0.042 (0.072) Loss 5.0453 (5.6767) Prec@1 7.031 (5.249) Prec@5 25.000 (14.719)
Epoch: [0][2600/5005] Time 0.198 (0.226) Data 0.043 (0.072) Loss 4.9527 (5.6740) Prec@1 11.328 (5.267) Prec@5 24.609 (14.753)
Epoch: [0][2610/5005] Time 0.198 (0.225) Data 0.038 (0.072) Loss 5.1049 (5.6711) Prec@1 7.422 (5.284) Prec@5 19.922 (14.794)
Epoch: [0][2620/5005] Time 0.203 (0.226) Data 0.044 (0.072) Loss 4.9938 (5.6682) Prec@1 10.938 (5.304) Prec@5 25.000 (14.839)
Epoch: [0][2630/5005] Time 0.201 (0.225) Data 0.047 (0.072) Loss 4.9305 (5.6656) Prec@1 9.766 (5.322) Prec@5 23.047 (14.876)
Epoch: [0][2640/5005] Time 0.501 (0.226) Data 0.420 (0.072) Loss 4.8982 (5.6626) Prec@1 10.156 (5.341) Prec@5 23.047 (14.921)
Epoch: [0][2650/5005] Time 0.205 (0.225) Data 0.050 (0.072) Loss 4.9499 (5.6598) Prec@1 8.984 (5.359) Prec@5 24.219 (14.961)
Epoch: [0][2660/5005] Time 0.207 (0.225) Data 0.049 (0.072) Loss 5.1439 (5.6571) Prec@1 7.422 (5.375) Prec@5 23.047 (15.001)
Epoch: [0][2670/5005] Time 0.205 (0.225) Data 0.044 (0.072) Loss 4.6688 (5.6542) Prec@1 10.938 (5.395) Prec@5 31.250 (15.039)
Epoch: [0][2680/5005] Time 0.198 (0.226) Data 0.047 (0.072) Loss 4.9191 (5.6518) Prec@1 10.938 (5.407) Prec@5 28.125 (15.069)
Epoch: [0][2690/5005] Time 0.204 (0.226) Data 0.043 (0.072) Loss 4.8160 (5.6490) Prec@1 11.719 (5.428) Prec@5 27.734 (15.109)
Epoch: [0][2700/5005] Time 0.201 (0.225) Data 0.048 (0.072) Loss 4.9250 (5.6464) Prec@1 9.375 (5.444) Prec@5 24.219 (15.147)
Epoch: [0][2710/5005] Time 0.195 (0.225) Data 0.043 (0.072) Loss 4.7822 (5.6437) Prec@1 10.938 (5.460) Prec@5 29.688 (15.185)
Epoch: [0][2720/5005] Time 0.193 (0.226) Data 0.048 (0.072) Loss 4.9326 (5.6412) Prec@1 9.766 (5.472) Prec@5 26.172 (15.224)
Epoch: [0][2730/5005] Time 0.206 (0.226) Data 0.053 (0.072) Loss 5.0259 (5.6384) Prec@1 8.984 (5.490) Prec@5 21.484 (15.262)
Epoch: [0][2740/5005] Time 0.203 (0.226) Data 0.047 (0.072) Loss 4.8170 (5.6358) Prec@1 12.109 (5.505) Prec@5 28.516 (15.296)
Epoch: [0][2750/5005] Time 0.199 (0.226) Data 0.103 (0.072) Loss 4.9765 (5.6331) Prec@1 9.766 (5.525) Prec@5 24.219 (15.336)
Epoch: [0][2760/5005] Time 0.205 (0.226) Data 0.040 (0.072) Loss 4.8467 (5.6302) Prec@1 12.109 (5.543) Prec@5 29.297 (15.381)
Epoch: [0][2770/5005] Time 0.204 (0.226) Data 0.047 (0.072) Loss 4.7980 (5.6275) Prec@1 13.281 (5.564) Prec@5 29.688 (15.420)
Epoch: [0][2780/5005] Time 0.203 (0.226) Data 0.044 (0.072) Loss 4.9421 (5.6247) Prec@1 9.766 (5.582) Prec@5 23.047 (15.458)
Epoch: [0][2790/5005] Time 0.204 (0.226) Data 0.043 (0.072) Loss 5.0776 (5.6223) Prec@1 10.547 (5.601) Prec@5 21.875 (15.491)
Epoch: [0][2800/5005] Time 0.819 (0.226) Data 0.735 (0.073) Loss 4.7047 (5.6194) Prec@1 11.719 (5.622) Prec@5 32.031 (15.535)
Epoch: [0][2810/5005] Time 0.342 (0.226) Data 0.256 (0.073) Loss 4.9167 (5.6167) Prec@1 12.109 (5.637) Prec@5 26.953 (15.577)
Epoch: [0][2820/5005] Time 0.302 (0.226) Data 0.210 (0.073) Loss 4.5581 (5.6139) Prec@1 12.109 (5.655) Prec@5 31.250 (15.612)
Epoch: [0][2830/5005] Time 0.197 (0.226) Data 0.050 (0.073) Loss 5.1248 (5.6114) Prec@1 6.250 (5.673) Prec@5 19.922 (15.650)
Epoch: [0][2840/5005] Time 0.196 (0.226) Data 0.051 (0.073) Loss 4.8445 (5.6087) Prec@1 10.547 (5.690) Prec@5 28.125 (15.693)
Epoch: [0][2850/5005] Time 0.199 (0.226) Data 0.091 (0.073) Loss 4.7921 (5.6058) Prec@1 12.500 (5.709) Prec@5 27.734 (15.734)
Epoch: [0][2860/5005] Time 0.202 (0.226) Data 0.043 (0.073) Loss 4.7532 (5.6034) Prec@1 13.672 (5.725) Prec@5 28.906 (15.770)
Epoch: [0][2870/5005] Time 0.203 (0.226) Data 0.044 (0.073) Loss 4.8570 (5.6007) Prec@1 9.766 (5.744) Prec@5 25.000 (15.807)
Epoch: [0][2880/5005] Time 0.411 (0.226) Data 0.315 (0.073) Loss 4.6924 (5.5982) Prec@1 10.156 (5.761) Prec@5 27.344 (15.839)
Epoch: [0][2890/5005] Time 0.202 (0.226) Data 0.046 (0.073) Loss 4.9131 (5.5953) Prec@1 10.938 (5.781) Prec@5 28.516 (15.884)
Epoch: [0][2900/5005] Time 0.196 (0.226) Data 0.094 (0.073) Loss 4.7598 (5.5927) Prec@1 10.156 (5.796) Prec@5 25.781 (15.922)
Epoch: [0][2910/5005] Time 0.199 (0.226) Data 0.050 (0.073) Loss 4.8207 (5.5901) Prec@1 12.109 (5.811) Prec@5 30.078 (15.960)
Epoch: [0][2920/5005] Time 0.202 (0.226) Data 0.045 (0.073) Loss 4.8740 (5.5876) Prec@1 9.766 (5.826) Prec@5 21.094 (15.997)
Epoch: [0][2930/5005] Time 0.201 (0.226) Data 0.045 (0.073) Loss 5.0702 (5.5852) Prec@1 10.156 (5.843) Prec@5 24.609 (16.033)
Epoch: [0][2940/5005] Time 0.201 (0.226) Data 0.049 (0.073) Loss 4.9360 (5.5828) Prec@1 7.422 (5.857) Prec@5 25.391 (16.065)
Epoch: [0][2950/5005] Time 0.298 (0.226) Data 0.211 (0.073) Loss 5.0709 (5.5802) Prec@1 7.031 (5.875) Prec@5 21.484 (16.104)
Epoch: [0][2960/5005] Time 0.229 (0.226) Data 0.143 (0.073) Loss 4.7097 (5.5775) Prec@1 11.719 (5.892) Prec@5 31.641 (16.143)
Epoch: [0][2970/5005] Time 0.205 (0.226) Data 0.043 (0.073) Loss 5.0169 (5.5751) Prec@1 8.203 (5.907) Prec@5 22.656 (16.176)
Epoch: [0][2980/5005] Time 0.208 (0.226) Data 0.051 (0.073) Loss 4.9167 (5.5728) Prec@1 8.984 (5.922) Prec@5 25.781 (16.206)
Epoch: [0][2990/5005] Time 0.196 (0.226) Data 0.044 (0.074) Loss 4.6378 (5.5703) Prec@1 14.453 (5.939) Prec@5 30.469 (16.243)
Epoch: [0][3000/5005] Time 0.461 (0.226) Data 0.370 (0.074) Loss 4.9164 (5.5676) Prec@1 7.812 (5.956) Prec@5 26.562 (16.280)
Epoch: [0][3010/5005] Time 0.215 (0.226) Data 0.046 (0.074) Loss 4.8397 (5.5651) Prec@1 12.500 (5.973) Prec@5 27.734 (16.321)
Epoch: [0][3020/5005] Time 0.202 (0.226) Data 0.042 (0.074) Loss 4.6522 (5.5625) Prec@1 11.719 (5.992) Prec@5 30.078 (16.356)
Epoch: [0][3030/5005] Time 0.586 (0.226) Data 0.504 (0.074) Loss 4.8256 (5.5602) Prec@1 10.547 (6.006) Prec@5 25.391 (16.388)
Epoch: [0][3040/5005] Time 0.202 (0.226) Data 0.043 (0.074) Loss 4.7451 (5.5577) Prec@1 11.719 (6.025) Prec@5 28.516 (16.427)
Epoch: [0][3050/5005] Time 0.210 (0.226) Data 0.043 (0.074) Loss 4.8808 (5.5552) Prec@1 9.375 (6.039) Prec@5 25.781 (16.463)
Epoch: [0][3060/5005] Time 0.209 (0.226) Data 0.040 (0.074) Loss 4.8072 (5.5527) Prec@1 10.156 (6.058) Prec@5 28.516 (16.499)
Epoch: [0][3070/5005] Time 0.348 (0.226) Data 0.266 (0.074) Loss 4.8672 (5.5503) Prec@1 12.109 (6.074) Prec@5 25.000 (16.530)
Epoch: [0][3080/5005] Time 0.200 (0.226) Data 0.052 (0.074) Loss 4.7514 (5.5480) Prec@1 11.328 (6.091) Prec@5 26.953 (16.569)
Epoch: [0][3090/5005] Time 0.199 (0.226) Data 0.046 (0.074) Loss 4.9764 (5.5455) Prec@1 10.938 (6.106) Prec@5 25.781 (16.604)
Epoch: [0][3100/5005] Time 0.195 (0.226) Data 0.062 (0.074) Loss 4.7872 (5.5431) Prec@1 12.891 (6.125) Prec@5 28.125 (16.640)
Epoch: [0][3110/5005] Time 0.196 (0.226) Data 0.085 (0.074) Loss 4.5046 (5.5405) Prec@1 12.109 (6.140) Prec@5 31.250 (16.676)
Epoch: [0][3120/5005] Time 0.194 (0.226) Data 0.048 (0.074) Loss 4.8536 (5.5381) Prec@1 10.938 (6.157) Prec@5 25.000 (16.710)
Epoch: [0][3130/5005] Time 0.205 (0.226) Data 0.045 (0.074) Loss 4.7396 (5.5357) Prec@1 10.547 (6.172) Prec@5 26.172 (16.749)
Epoch: [0][3140/5005] Time 0.197 (0.226) Data 0.044 (0.074) Loss 4.6636 (5.5331) Prec@1 13.672 (6.192) Prec@5 31.250 (16.789)
Epoch: [0][3150/5005] Time 0.200 (0.226) Data 0.088 (0.074) Loss 4.8528 (5.5306) Prec@1 12.500 (6.213) Prec@5 28.125 (16.828)
Epoch: [0][3160/5005] Time 0.430 (0.226) Data 0.336 (0.074) Loss 4.6524 (5.5281) Prec@1 14.453 (6.232) Prec@5 33.203 (16.865)
Epoch: [0][3170/5005] Time 0.204 (0.226) Data 0.045 (0.074) Loss 4.9337 (5.5259) Prec@1 10.156 (6.249) Prec@5 28.516 (16.896)
Epoch: [0][3180/5005] Time 0.199 (0.226) Data 0.049 (0.074) Loss 4.6382 (5.5236) Prec@1 16.797 (6.266) Prec@5 31.250 (16.933)
Epoch: [0][3190/5005] Time 0.207 (0.226) Data 0.044 (0.074) Loss 4.8520 (5.5214) Prec@1 10.547 (6.283) Prec@5 28.516 (16.970)
Epoch: [0][3200/5005] Time 0.642 (0.226) Data 0.556 (0.074) Loss 4.8361 (5.5190) Prec@1 8.594 (6.299) Prec@5 25.000 (17.005)
Epoch: [0][3210/5005] Time 0.203 (0.226) Data 0.047 (0.074) Loss 4.7873 (5.5166) Prec@1 10.156 (6.314) Prec@5 22.656 (17.038)
Epoch: [0][3220/5005] Time 0.200 (0.226) Data 0.044 (0.074) Loss 4.8178 (5.5144) Prec@1 14.453 (6.331) Prec@5 29.688 (17.072)
Epoch: [0][3230/5005] Time 0.208 (0.225) Data 0.090 (0.074) Loss 4.6638 (5.5120) Prec@1 11.719 (6.346) Prec@5 28.516 (17.108)
Epoch: [0][3240/5005] Time 0.214 (0.226) Data 0.046 (0.074) Loss 5.0021 (5.5100) Prec@1 7.422 (6.357) Prec@5 23.438 (17.135)
Epoch: [0][3250/5005] Time 0.198 (0.225) Data 0.041 (0.074) Loss 4.7420 (5.5077) Prec@1 11.328 (6.373) Prec@5 26.562 (17.168)
Epoch: [0][3260/5005] Time 0.390 (0.226) Data 0.297 (0.074) Loss 4.5662 (5.5056) Prec@1 17.969 (6.390) Prec@5 33.203 (17.202)
Epoch: [0][3270/5005] Time 0.878 (0.226) Data 0.794 (0.075) Loss 4.9997 (5.5033) Prec@1 12.500 (6.408) Prec@5 26.562 (17.239)
Epoch: [0][3280/5005] Time 0.195 (0.226) Data 0.083 (0.075) Loss 4.7795 (5.5013) Prec@1 11.328 (6.422) Prec@5 31.641 (17.267)
Epoch: [0][3290/5005] Time 0.202 (0.226) Data 0.040 (0.075) Loss 4.6951 (5.4988) Prec@1 11.719 (6.437) Prec@5 29.297 (17.302)
Epoch: [0][3300/5005] Time 0.202 (0.226) Data 0.039 (0.075) Loss 4.7617 (5.4966) Prec@1 10.547 (6.455) Prec@5 26.562 (17.338)
Epoch: [0][3310/5005] Time 0.294 (0.226) Data 0.212 (0.075) Loss 4.7012 (5.4945) Prec@1 8.984 (6.472) Prec@5 29.297 (17.372)
Epoch: [0][3320/5005] Time 0.208 (0.226) Data 0.068 (0.075) Loss 4.8099 (5.4922) Prec@1 10.938 (6.484) Prec@5 26.953 (17.404)
Epoch: [0][3330/5005] Time 0.197 (0.226) Data 0.047 (0.075) Loss 4.6627 (5.4897) Prec@1 12.109 (6.504) Prec@5 30.078 (17.443)
Epoch: [0][3340/5005] Time 0.201 (0.226) Data 0.045 (0.075) Loss 4.6334 (5.4874) Prec@1 9.375 (6.518) Prec@5 29.297 (17.480)
Epoch: [0][3350/5005] Time 0.398 (0.226) Data 0.307 (0.075) Loss 5.0375 (5.4852) Prec@1 10.547 (6.534) Prec@5 25.391 (17.512)
Epoch: [0][3360/5005] Time 0.207 (0.226) Data 0.040 (0.075) Loss 4.7565 (5.4829) Prec@1 12.109 (6.551) Prec@5 29.297 (17.546)
Epoch: [0][3370/5005] Time 0.202 (0.226) Data 0.043 (0.075) Loss 4.6357 (5.4806) Prec@1 10.938 (6.568) Prec@5 30.859 (17.582)
Epoch: [0][3380/5005] Time 0.202 (0.226) Data 0.046 (0.075) Loss 4.4753 (5.4781) Prec@1 12.891 (6.585) Prec@5 32.812 (17.617)
Epoch: [0][3390/5005] Time 0.207 (0.226) Data 0.048 (0.075) Loss 4.6543 (5.4760) Prec@1 13.672 (6.599) Prec@5 31.641 (17.647)
Epoch: [0][3400/5005] Time 0.195 (0.226) Data 0.050 (0.075) Loss 4.5908 (5.4738) Prec@1 12.500 (6.616) Prec@5 32.031 (17.679)
Epoch: [0][3410/5005] Time 0.378 (0.226) Data 0.289 (0.075) Loss 4.7388 (5.4715) Prec@1 10.938 (6.631) Prec@5 31.250 (17.715)
Epoch: [0][3420/5005] Time 0.200 (0.226) Data 0.056 (0.075) Loss 4.6879 (5.4692) Prec@1 14.062 (6.647) Prec@5 29.688 (17.746)
Epoch: [0][3430/5005] Time 0.196 (0.226) Data 0.046 (0.075) Loss 4.5638 (5.4672) Prec@1 17.188 (6.661) Prec@5 35.156 (17.779)
Epoch: [0][3440/5005] Time 0.208 (0.226) Data 0.047 (0.075) Loss 4.8990 (5.4649) Prec@1 10.156 (6.679) Prec@5 24.219 (17.807)
Epoch: [0][3450/5005] Time 0.216 (0.226) Data 0.134 (0.075) Loss 4.4450 (5.4626) Prec@1 13.672 (6.696) Prec@5 35.547 (17.844)
Epoch: [0][3460/5005] Time 0.205 (0.226) Data 0.108 (0.075) Loss 4.4657 (5.4605) Prec@1 16.406 (6.713) Prec@5 32.422 (17.877)
Epoch: [0][3470/5005] Time 0.197 (0.226) Data 0.044 (0.075) Loss 4.6266 (5.4582) Prec@1 10.547 (6.729) Prec@5 30.859 (17.908)
Epoch: [0][3480/5005] Time 0.390 (0.226) Data 0.293 (0.075) Loss 4.6941 (5.4557) Prec@1 15.625 (6.747) Prec@5 28.125 (17.944)
Epoch: [0][3490/5005] Time 0.198 (0.226) Data 0.045 (0.075) Loss 4.6183 (5.4537) Prec@1 13.281 (6.765) Prec@5 25.391 (17.975)
Epoch: [0][3500/5005] Time 0.196 (0.226) Data 0.046 (0.075) Loss 4.5302 (5.4515) Prec@1 14.062 (6.780) Prec@5 32.031 (18.005)
Epoch: [0][3510/5005] Time 0.272 (0.226) Data 0.182 (0.075) Loss 4.8836 (5.4495) Prec@1 10.156 (6.795) Prec@5 26.953 (18.034)
Epoch: [0][3520/5005] Time 0.198 (0.226) Data 0.058 (0.075) Loss 4.9349 (5.4478) Prec@1 11.719 (6.810) Prec@5 25.000 (18.061)
Epoch: [0][3530/5005] Time 0.201 (0.226) Data 0.045 (0.075) Loss 4.6428 (5.4456) Prec@1 16.016 (6.827) Prec@5 32.422 (18.097)
Epoch: [0][3540/5005] Time 0.207 (0.226) Data 0.044 (0.075) Loss 4.6913 (5.4434) Prec@1 11.719 (6.841) Prec@5 30.078 (18.126)
Epoch: [0][3550/5005] Time 0.196 (0.226) Data 0.095 (0.075) Loss 4.6245 (5.4411) Prec@1 13.281 (6.856) Prec@5 30.078 (18.160)
Epoch: [0][3560/5005] Time 0.215 (0.226) Data 0.042 (0.076) Loss 4.7969 (5.4390) Prec@1 9.766 (6.874) Prec@5 24.609 (18.195)
Epoch: [0][3570/5005] Time 0.205 (0.226) Data 0.050 (0.075) Loss 4.8031 (5.4370) Prec@1 10.156 (6.887) Prec@5 28.906 (18.221)
Epoch: [0][3580/5005] Time 0.274 (0.226) Data 0.189 (0.075) Loss 4.7003 (5.4350) Prec@1 13.672 (6.902) Prec@5 30.078 (18.251)
Epoch: [0][3590/5005] Time 0.208 (0.226) Data 0.045 (0.076) Loss 4.8004 (5.4329) Prec@1 12.109 (6.918) Prec@5 26.562 (18.284)
Epoch: [0][3600/5005] Time 0.205 (0.226) Data 0.044 (0.076) Loss 4.7682 (5.4308) Prec@1 11.328 (6.934) Prec@5 28.516 (18.314)
Epoch: [0][3610/5005] Time 0.207 (0.226) Data 0.045 (0.076) Loss 4.7396 (5.4288) Prec@1 14.062 (6.945) Prec@5 26.562 (18.343)
Epoch: [0][3620/5005] Time 0.208 (0.226) Data 0.047 (0.076) Loss 4.8263 (5.4267) Prec@1 10.547 (6.959) Prec@5 25.391 (18.376)
Epoch: [0][3630/5005] Time 0.213 (0.226) Data 0.048 (0.076) Loss 5.0301 (5.4246) Prec@1 7.422 (6.974) Prec@5 23.438 (18.408)
Epoch: [0][3640/5005] Time 0.208 (0.226) Data 0.041 (0.076) Loss 4.6517 (5.4222) Prec@1 11.719 (6.993) Prec@5 29.688 (18.443)
Epoch: [0][3650/5005] Time 0.190 (0.226) Data 0.096 (0.076) Loss 4.6923 (5.4203) Prec@1 12.500 (7.004) Prec@5 27.344 (18.471)
Epoch: [0][3660/5005] Time 0.199 (0.226) Data 0.047 (0.076) Loss 4.7294 (5.4182) Prec@1 11.328 (7.019) Prec@5 31.641 (18.504)
Epoch: [0][3670/5005] Time 0.206 (0.226) Data 0.043 (0.076) Loss 4.8201 (5.4161) Prec@1 14.453 (7.035) Prec@5 27.734 (18.538)
Epoch: [0][3680/5005] Time 0.200 (0.226) Data 0.060 (0.076) Loss 4.8214 (5.4143) Prec@1 8.984 (7.047) Prec@5 27.734 (18.563)
Epoch: [0][3690/5005] Time 0.209 (0.226) Data 0.051 (0.076) Loss 4.4615 (5.4122) Prec@1 14.844 (7.062) Prec@5 33.203 (18.593)
Epoch: [0][3700/5005] Time 0.201 (0.226) Data 0.106 (0.076) Loss 4.7684 (5.4103) Prec@1 10.938 (7.075) Prec@5 27.734 (18.622)
Epoch: [0][3710/5005] Time 0.196 (0.226) Data 0.115 (0.076) Loss 4.6493 (5.4084) Prec@1 11.328 (7.088) Prec@5 30.078 (18.650)
Epoch: [0][3720/5005] Time 0.198 (0.226) Data 0.046 (0.076) Loss 4.7951 (5.4063) Prec@1 8.984 (7.103) Prec@5 26.953 (18.679)
Epoch: [0][3730/5005] Time 0.197 (0.226) Data 0.051 (0.076) Loss 4.6028 (5.4043) Prec@1 10.938 (7.119) Prec@5 28.516 (18.711)
Epoch: [0][3740/5005] Time 0.442 (0.226) Data 0.362 (0.076) Loss 4.6765 (5.4021) Prec@1 12.891 (7.134) Prec@5 28.516 (18.742)
Epoch: [0][3750/5005] Time 0.408 (0.226) Data 0.323 (0.076) Loss 4.7228 (5.4002) Prec@1 9.375 (7.148) Prec@5 26.562 (18.770)
Epoch: [0][3760/5005] Time 0.190 (0.226) Data 0.049 (0.076) Loss 4.6978 (5.3983) Prec@1 12.109 (7.163) Prec@5 30.078 (18.800)
Epoch: [0][3770/5005] Time 0.199 (0.226) Data 0.046 (0.076) Loss 4.6233 (5.3963) Prec@1 13.672 (7.176) Prec@5 28.516 (18.829)
Epoch: [0][3780/5005] Time 0.199 (0.226) Data 0.047 (0.076) Loss 4.7092 (5.3943) Prec@1 14.062 (7.193) Prec@5 30.469 (18.861)
Epoch: [0][3790/5005] Time 0.199 (0.226) Data 0.042 (0.076) Loss 4.8762 (5.3925) Prec@1 9.766 (7.205) Prec@5 25.391 (18.890)
Epoch: [0][3800/5005] Time 0.204 (0.226) Data 0.047 (0.076) Loss 4.4761 (5.3906) Prec@1 14.844 (7.218) Prec@5 39.453 (18.919)
Epoch: [0][3810/5005] Time 0.195 (0.226) Data 0.045 (0.076) Loss 4.4523 (5.3886) Prec@1 10.938 (7.233) Prec@5 34.766 (18.951)
Epoch: [0][3820/5005] Time 1.027 (0.226) Data 0.943 (0.076) Loss 4.4701 (5.3865) Prec@1 14.453 (7.248) Prec@5 32.031 (18.983)
Epoch: [0][3830/5005] Time 0.198 (0.226) Data 0.042 (0.076) Loss 4.7519 (5.3846) Prec@1 12.891 (7.264) Prec@5 31.250 (19.014)
Epoch: [0][3840/5005] Time 0.204 (0.226) Data 0.041 (0.076) Loss 4.8829 (5.3827) Prec@1 9.766 (7.278) Prec@5 23.438 (19.040)
Epoch: [0][3850/5005] Time 0.199 (0.226) Data 0.043 (0.076) Loss 4.7060 (5.3808) Prec@1 11.328 (7.290) Prec@5 27.734 (19.069)
Epoch: [0][3860/5005] Time 0.204 (0.226) Data 0.043 (0.076) Loss 4.3998 (5.3789) Prec@1 16.016 (7.305) Prec@5 33.594 (19.100)
Epoch: [0][3870/5005] Time 0.204 (0.226) Data 0.045 (0.076) Loss 4.7068 (5.3771) Prec@1 13.672 (7.316) Prec@5 30.859 (19.125)
Epoch: [0][3880/5005] Time 0.197 (0.226) Data 0.062 (0.076) Loss 4.7557 (5.3753) Prec@1 13.281 (7.329) Prec@5 29.688 (19.153)
Epoch: [0][3890/5005] Time 0.206 (0.226) Data 0.044 (0.076) Loss 4.7568 (5.3734) Prec@1 11.719 (7.344) Prec@5 26.172 (19.183)
Epoch: [0][3900/5005] Time 0.211 (0.226) Data 0.050 (0.076) Loss 4.9637 (5.3716) Prec@1 12.109 (7.357) Prec@5 25.781 (19.213)
Epoch: [0][3910/5005] Time 0.213 (0.226) Data 0.044 (0.076) Loss 4.7141 (5.3697) Prec@1 11.719 (7.371) Prec@5 28.125 (19.243)
Epoch: [0][3920/5005] Time 0.197 (0.226) Data 0.082 (0.076) Loss 4.7056 (5.3679) Prec@1 10.156 (7.386) Prec@5 29.297 (19.271)
Epoch: [0][3930/5005] Time 0.197 (0.226) Data 0.046 (0.076) Loss 4.4567 (5.3657) Prec@1 15.234 (7.402) Prec@5 30.469 (19.307)
Epoch: [0][3940/5005] Time 0.194 (0.226) Data 0.060 (0.076) Loss 4.4895 (5.3638) Prec@1 16.016 (7.416) Prec@5 33.594 (19.338)
Epoch: [0][3950/5005] Time 0.199 (0.226) Data 0.054 (0.076) Loss 4.4386 (5.3618) Prec@1 16.406 (7.434) Prec@5 31.641 (19.371)
Epoch: [0][3960/5005] Time 0.457 (0.226) Data 0.370 (0.076) Loss 4.2960 (5.3598) Prec@1 16.016 (7.446) Prec@5 36.328 (19.401)
Epoch: [0][3970/5005] Time 0.205 (0.226) Data 0.050 (0.076) Loss 4.6494 (5.3578) Prec@1 12.500 (7.462) Prec@5 31.641 (19.433)
Epoch: [0][3980/5005] Time 0.195 (0.226) Data 0.046 (0.076) Loss 4.4244 (5.3559) Prec@1 16.406 (7.477) Prec@5 36.719 (19.465)
Epoch: [0][3990/5005] Time 0.299 (0.226) Data 0.218 (0.076) Loss 4.7114 (5.3541) Prec@1 12.109 (7.492) Prec@5 29.297 (19.492)
Epoch: [0][4000/5005] Time 0.206 (0.226) Data 0.047 (0.076) Loss 4.6723 (5.3521) Prec@1 9.766 (7.507) Prec@5 28.516 (19.523)
Epoch: [0][4010/5005] Time 0.206 (0.226) Data 0.046 (0.076) Loss 4.7755 (5.3501) Prec@1 10.547 (7.524) Prec@5 26.953 (19.551)
Epoch: [0][4020/5005] Time 0.502 (0.226) Data 0.413 (0.076) Loss 4.6570 (5.3484) Prec@1 16.797 (7.537) Prec@5 33.984 (19.578)
Epoch: [0][4030/5005] Time 0.642 (0.226) Data 0.560 (0.076) Loss 4.8857 (5.3469) Prec@1 9.766 (7.549) Prec@5 28.125 (19.603)
Epoch: [0][4040/5005] Time 0.198 (0.226) Data 0.043 (0.076) Loss 4.5322 (5.3452) Prec@1 13.672 (7.562) Prec@5 33.984 (19.628)
Epoch: [0][4050/5005] Time 0.201 (0.226) Data 0.045 (0.076) Loss 4.9562 (5.3435) Prec@1 10.938 (7.576) Prec@5 26.562 (19.654)
Epoch: [0][4060/5005] Time 0.195 (0.226) Data 0.106 (0.076) Loss 4.6833 (5.3417) Prec@1 14.062 (7.591) Prec@5 30.078 (19.681)
Epoch: [0][4070/5005] Time 0.184 (0.226) Data 0.066 (0.076) Loss 4.5792 (5.3399) Prec@1 12.891 (7.604) Prec@5 33.203 (19.710)
Epoch: [0][4080/5005] Time 0.340 (0.226) Data 0.252 (0.076) Loss 4.7360 (5.3381) Prec@1 9.375 (7.615) Prec@5 29.688 (19.737)
Epoch: [0][4090/5005] Time 0.206 (0.226) Data 0.045 (0.076) Loss 4.5391 (5.3362) Prec@1 13.281 (7.629) Prec@5 33.594 (19.769)
Epoch: [0][4100/5005] Time 0.212 (0.226) Data 0.058 (0.076) Loss 4.5859 (5.3344) Prec@1 12.500 (7.642) Prec@5 30.078 (19.797)
Epoch: [0][4110/5005] Time 0.200 (0.226) Data 0.052 (0.076) Loss 4.8134 (5.3326) Prec@1 11.328 (7.656) Prec@5 27.344 (19.824)
Epoch: [0][4120/5005] Time 0.197 (0.226) Data 0.044 (0.076) Loss 4.6700 (5.3307) Prec@1 11.719 (7.670) Prec@5 28.516 (19.853)
Epoch: [0][4130/5005] Time 0.203 (0.226) Data 0.042 (0.076) Loss 4.8674 (5.3288) Prec@1 14.062 (7.684) Prec@5 28.516 (19.881)
Epoch: [0][4140/5005] Time 0.202 (0.226) Data 0.048 (0.076) Loss 4.5613 (5.3271) Prec@1 12.500 (7.697) Prec@5 34.375 (19.909)
Epoch: [0][4150/5005] Time 0.357 (0.226) Data 0.274 (0.077) Loss 4.7461 (5.3254) Prec@1 16.406 (7.710) Prec@5 31.250 (19.932)
Epoch: [0][4160/5005] Time 0.204 (0.226) Data 0.050 (0.077) Loss 4.6606 (5.3237) Prec@1 10.547 (7.726) Prec@5 28.516 (19.961)
Epoch: [0][4170/5005] Time 0.270 (0.226) Data 0.184 (0.077) Loss 4.4318 (5.3217) Prec@1 17.188 (7.742) Prec@5 34.766 (19.990)
Epoch: [0][4180/5005] Time 0.212 (0.226) Data 0.042 (0.077) Loss 4.5663 (5.3199) Prec@1 10.938 (7.755) Prec@5 30.078 (20.016)
Epoch: [0][4190/5005] Time 0.292 (0.226) Data 0.207 (0.077) Loss 4.5882 (5.3181) Prec@1 12.109 (7.770) Prec@5 32.422 (20.045)
Epoch: [0][4200/5005] Time 0.455 (0.226) Data 0.375 (0.077) Loss 4.3573 (5.3163) Prec@1 18.359 (7.785) Prec@5 36.328 (20.074)
Epoch: [0][4210/5005] Time 0.202 (0.226) Data 0.047 (0.077) Loss 4.6221 (5.3145) Prec@1 11.328 (7.799) Prec@5 26.562 (20.101)
Epoch: [0][4220/5005] Time 0.216 (0.226) Data 0.128 (0.077) Loss 4.7556 (5.3129) Prec@1 12.500 (7.812) Prec@5 26.953 (20.128)
Epoch: [0][4230/5005] Time 0.239 (0.226) Data 0.158 (0.077) Loss 4.5284 (5.3112) Prec@1 16.016 (7.826) Prec@5 33.203 (20.156)
Epoch: [0][4240/5005] Time 0.202 (0.226) Data 0.048 (0.077) Loss 4.5805 (5.3096) Prec@1 13.672 (7.839) Prec@5 29.297 (20.181)
Epoch: [0][4250/5005] Time 0.198 (0.226) Data 0.048 (0.077) Loss 4.4804 (5.3077) Prec@1 14.844 (7.854) Prec@5 35.156 (20.213)
Epoch: [0][4260/5005] Time 0.204 (0.226) Data 0.039 (0.077) Loss 4.5673 (5.3060) Prec@1 11.328 (7.868) Prec@5 28.516 (20.239)
Epoch: [0][4270/5005] Time 0.196 (0.226) Data 0.047 (0.077) Loss 4.8380 (5.3045) Prec@1 11.719 (7.883) Prec@5 26.172 (20.263)
Epoch: [0][4280/5005] Time 0.206 (0.226) Data 0.046 (0.077) Loss 4.5309 (5.3028) Prec@1 11.328 (7.896) Prec@5 26.953 (20.287)
Epoch: [0][4290/5005] Time 0.199 (0.226) Data 0.062 (0.077) Loss 4.7106 (5.3011) Prec@1 14.062 (7.910) Prec@5 31.250 (20.316)
Epoch: [0][4300/5005] Time 0.200 (0.226) Data 0.049 (0.077) Loss 4.5699 (5.2994) Prec@1 11.719 (7.922) Prec@5 27.344 (20.340)
Epoch: [0][4310/5005] Time 0.210 (0.226) Data 0.046 (0.077) Loss 4.5381 (5.2979) Prec@1 16.406 (7.937) Prec@5 32.422 (20.365)
Epoch: [0][4320/5005] Time 0.201 (0.226) Data 0.051 (0.077) Loss 4.7366 (5.2963) Prec@1 11.328 (7.949) Prec@5 28.906 (20.389)
Epoch: [0][4330/5005] Time 0.194 (0.226) Data 0.104 (0.077) Loss 4.4597 (5.2945) Prec@1 14.062 (7.964) Prec@5 34.375 (20.416)
Epoch: [0][4340/5005] Time 0.200 (0.226) Data 0.045 (0.077) Loss 4.4989 (5.2928) Prec@1 13.281 (7.977) Prec@5 35.938 (20.446)
Epoch: [0][4350/5005] Time 0.525 (0.226) Data 0.447 (0.077) Loss 4.4014 (5.2909) Prec@1 16.406 (7.992) Prec@5 36.328 (20.476)
Epoch: [0][4360/5005] Time 0.205 (0.226) Data 0.061 (0.077) Loss 4.4106 (5.2893) Prec@1 15.234 (8.004) Prec@5 32.422 (20.501)
Epoch: [0][4370/5005] Time 0.192 (0.226) Data 0.057 (0.077) Loss 4.4952 (5.2875) Prec@1 16.406 (8.018) Prec@5 34.375 (20.529)
Epoch: [0][4380/5005] Time 0.208 (0.226) Data 0.050 (0.077) Loss 4.5084 (5.2858) Prec@1 12.109 (8.032) Prec@5 33.594 (20.556)
Epoch: [0][4390/5005] Time 0.204 (0.226) Data 0.053 (0.077) Loss 4.5358 (5.2839) Prec@1 16.016 (8.048) Prec@5 32.812 (20.588)
Epoch: [0][4400/5005] Time 0.203 (0.226) Data 0.045 (0.077) Loss 4.5890 (5.2823) Prec@1 13.281 (8.061) Prec@5 32.812 (20.616)
Epoch: [0][4410/5005] Time 0.184 (0.226) Data 0.044 (0.077) Loss 4.6536 (5.2806) Prec@1 10.156 (8.075) Prec@5 31.250 (20.645)
Epoch: [0][4420/5005] Time 0.207 (0.226) Data 0.044 (0.077) Loss 4.2054 (5.2788) Prec@1 18.750 (8.089) Prec@5 39.844 (20.670)
Epoch: [0][4430/5005] Time 0.216 (0.226) Data 0.047 (0.077) Loss 4.6264 (5.2769) Prec@1 12.109 (8.104) Prec@5 31.641 (20.701)
Epoch: [0][4440/5005] Time 0.191 (0.226) Data 0.043 (0.077) Loss 4.6769 (5.2752) Prec@1 13.281 (8.117) Prec@5 33.203 (20.730)
Epoch: [0][4450/5005] Time 0.366 (0.226) Data 0.281 (0.077) Loss 4.3850 (5.2735) Prec@1 15.625 (8.130) Prec@5 35.156 (20.757)
Epoch: [0][4460/5005] Time 0.201 (0.226) Data 0.045 (0.077) Loss 4.6423 (5.2719) Prec@1 17.188 (8.144) Prec@5 32.812 (20.784)
Epoch: [0][4470/5005] Time 0.200 (0.226) Data 0.051 (0.077) Loss 4.4284 (5.2703) Prec@1 14.453 (8.157) Prec@5 31.641 (20.808)
Epoch: [0][4480/5005] Time 0.194 (0.226) Data 0.108 (0.077) Loss 4.3231 (5.2688) Prec@1 19.531 (8.171) Prec@5 36.719 (20.833)
Epoch: [0][4490/5005] Time 0.197 (0.226) Data 0.040 (0.077) Loss 4.4546 (5.2673) Prec@1 14.844 (8.183) Prec@5 33.203 (20.856)
Epoch: [0][4500/5005] Time 0.208 (0.226) Data 0.124 (0.077) Loss 4.5078 (5.2655) Prec@1 14.062 (8.197) Prec@5 34.375 (20.885)
Epoch: [0][4510/5005] Time 0.192 (0.226) Data 0.105 (0.077) Loss 4.6889 (5.2639) Prec@1 15.625 (8.209) Prec@5 29.297 (20.909)
Epoch: [0][4520/5005] Time 0.336 (0.226) Data 0.246 (0.077) Loss 4.5706 (5.2622) Prec@1 15.234 (8.226) Prec@5 31.250 (20.938)
Epoch: [0][4530/5005] Time 0.190 (0.226) Data 0.053 (0.077) Loss 4.2770 (5.2605) Prec@1 16.406 (8.239) Prec@5 35.547 (20.966)
Epoch: [0][4540/5005] Time 0.198 (0.226) Data 0.064 (0.077) Loss 4.6042 (5.2590) Prec@1 12.109 (8.247) Prec@5 32.031 (20.989)
Epoch: [0][4550/5005] Time 0.200 (0.226) Data 0.058 (0.077) Loss 4.5366 (5.2573) Prec@1 16.406 (8.262) Prec@5 35.156 (21.017)
Epoch: [0][4560/5005] Time 0.206 (0.226) Data 0.054 (0.077) Loss 4.4608 (5.2555) Prec@1 13.672 (8.277) Prec@5 33.594 (21.046)
Epoch: [0][4570/5005] Time 0.219 (0.226) Data 0.047 (0.077) Loss 4.4502 (5.2538) Prec@1 15.234 (8.290) Prec@5 34.375 (21.072)
Epoch: [0][4580/5005] Time 0.200 (0.226) Data 0.044 (0.077) Loss 4.5100 (5.2521) Prec@1 13.672 (8.305) Prec@5 26.953 (21.098)
Epoch: [0][4590/5005] Time 0.199 (0.226) Data 0.051 (0.077) Loss 4.4537 (5.2505) Prec@1 19.141 (8.319) Prec@5 33.594 (21.124)
Epoch: [0][4600/5005] Time 0.195 (0.226) Data 0.046 (0.077) Loss 4.2814 (5.2489) Prec@1 14.453 (8.331) Prec@5 37.109 (21.149)
Epoch: [0][4610/5005] Time 0.199 (0.226) Data 0.043 (0.077) Loss 4.3768 (5.2471) Prec@1 14.453 (8.346) Prec@5 38.281 (21.180)
Epoch: [0][4620/5005] Time 0.304 (0.226) Data 0.215 (0.077) Loss 4.3593 (5.2455) Prec@1 15.234 (8.360) Prec@5 33.203 (21.207)
Epoch: [0][4630/5005] Time 0.205 (0.226) Data 0.063 (0.077) Loss 4.2932 (5.2439) Prec@1 16.797 (8.374) Prec@5 38.672 (21.234)
Epoch: [0][4640/5005] Time 0.195 (0.226) Data 0.099 (0.078) Loss 4.5114 (5.2421) Prec@1 14.062 (8.388) Prec@5 35.547 (21.262)
Epoch: [0][4650/5005] Time 0.215 (0.226) Data 0.044 (0.078) Loss 4.6233 (5.2406) Prec@1 12.500 (8.399) Prec@5 29.297 (21.287)
Epoch: [0][4660/5005] Time 0.202 (0.226) Data 0.056 (0.078) Loss 4.6258 (5.2391) Prec@1 15.234 (8.412) Prec@5 30.859 (21.311)
Epoch: [0][4670/5005] Time 0.203 (0.226) Data 0.044 (0.078) Loss 4.2945 (5.2374) Prec@1 15.625 (8.424) Prec@5 35.938 (21.336)
Epoch: [0][4680/5005] Time 0.203 (0.226) Data 0.052 (0.078) Loss 4.4931 (5.2359) Prec@1 14.453 (8.437) Prec@5 34.766 (21.362)
Epoch: [0][4690/5005] Time 0.203 (0.226) Data 0.053 (0.078) Loss 4.5817 (5.2343) Prec@1 13.672 (8.448) Prec@5 31.641 (21.388)
Epoch: [0][4700/5005] Time 0.192 (0.226) Data 0.046 (0.078) Loss 4.4334 (5.2327) Prec@1 11.328 (8.460) Prec@5 31.641 (21.412)
Epoch: [0][4710/5005] Time 0.215 (0.226) Data 0.042 (0.078) Loss 4.4343 (5.2310) Prec@1 17.578 (8.473) Prec@5 34.375 (21.443)
Epoch: [0][4720/5005] Time 0.196 (0.226) Data 0.057 (0.078) Loss 4.3718 (5.2294) Prec@1 15.625 (8.487) Prec@5 36.719 (21.471)
Epoch: [0][4730/5005] Time 0.206 (0.226) Data 0.050 (0.078) Loss 4.4984 (5.2279) Prec@1 12.500 (8.499) Prec@5 32.812 (21.494)
Epoch: [0][4740/5005] Time 0.204 (0.226) Data 0.042 (0.078) Loss 4.3256 (5.2262) Prec@1 13.672 (8.513) Prec@5 35.547 (21.524)
Epoch: [0][4750/5005] Time 0.189 (0.226) Data 0.113 (0.078) Loss 4.4594 (5.2246) Prec@1 15.234 (8.529) Prec@5 32.812 (21.551)
Epoch: [0][4760/5005] Time 0.194 (0.226) Data 0.046 (0.078) Loss 4.7329 (5.2229) Prec@1 10.938 (8.542) Prec@5 27.344 (21.575)
Epoch: [0][4770/5005] Time 0.341 (0.226) Data 0.252 (0.078) Loss 4.3590 (5.2212) Prec@1 12.500 (8.556) Prec@5 34.766 (21.603)
Epoch: [0][4780/5005] Time 0.578 (0.226) Data 0.492 (0.078) Loss 4.5437 (5.2196) Prec@1 16.016 (8.568) Prec@5 30.859 (21.629)
Epoch: [0][4790/5005] Time 0.198 (0.226) Data 0.049 (0.078) Loss 4.5799 (5.2181) Prec@1 13.672 (8.581) Prec@5 33.984 (21.652)
Epoch: [0][4800/5005] Time 0.206 (0.226) Data 0.040 (0.078) Loss 4.5588 (5.2166) Prec@1 9.375 (8.590) Prec@5 29.297 (21.675)
Epoch: [0][4810/5005] Time 0.193 (0.226) Data 0.043 (0.078) Loss 4.6369 (5.2150) Prec@1 12.109 (8.602) Prec@5 28.125 (21.701)
Epoch: [0][4820/5005] Time 0.509 (0.226) Data 0.428 (0.078) Loss 4.6254 (5.2133) Prec@1 16.016 (8.619) Prec@5 35.156 (21.729)
Epoch: [0][4830/5005] Time 0.195 (0.226) Data 0.049 (0.078) Loss 4.4034 (5.2117) Prec@1 14.453 (8.633) Prec@5 35.547 (21.756)
Epoch: [0][4840/5005] Time 0.202 (0.226) Data 0.043 (0.078) Loss 4.2119 (5.2102) Prec@1 17.188 (8.645) Prec@5 37.500 (21.777)
Epoch: [0][4850/5005] Time 0.204 (0.226) Data 0.049 (0.078) Loss 4.7567 (5.2088) Prec@1 15.234 (8.658) Prec@5 30.859 (21.798)
Epoch: [0][4860/5005] Time 0.203 (0.226) Data 0.045 (0.078) Loss 4.5294 (5.2072) Prec@1 14.844 (8.670) Prec@5 33.203 (21.823)
Epoch: [0][4870/5005] Time 0.197 (0.226) Data 0.047 (0.078) Loss 4.4069 (5.2057) Prec@1 13.672 (8.682) Prec@5 34.375 (21.847)
Epoch: [0][4880/5005] Time 0.197 (0.226) Data 0.054 (0.078) Loss 4.4350 (5.2042) Prec@1 15.234 (8.694) Prec@5 34.766 (21.871)
Epoch: [0][4890/5005] Time 0.188 (0.226) Data 0.068 (0.078) Loss 4.3382 (5.2026) Prec@1 16.797 (8.707) Prec@5 37.891 (21.895)
Epoch: [0][4900/5005] Time 0.211 (0.226) Data 0.049 (0.078) Loss 4.4562 (5.2010) Prec@1 12.500 (8.720) Prec@5 32.812 (21.921)
Epoch: [0][4910/5005] Time 0.197 (0.226) Data 0.044 (0.078) Loss 4.5109 (5.1994) Prec@1 12.891 (8.733) Prec@5 30.859 (21.944)
Epoch: [0][4920/5005] Time 0.192 (0.226) Data 0.046 (0.078) Loss 4.3673 (5.1979) Prec@1 13.672 (8.746) Prec@5 33.203 (21.968)
Epoch: [0][4930/5005] Time 0.196 (0.226) Data 0.047 (0.078) Loss 4.3045 (5.1962) Prec@1 16.406 (8.760) Prec@5 36.719 (21.995)
Epoch: [0][4940/5005] Time 0.203 (0.226) Data 0.042 (0.078) Loss 4.3639 (5.1949) Prec@1 15.234 (8.770) Prec@5 35.156 (22.017)
Epoch: [0][4950/5005] Time 0.452 (0.226) Data 0.365 (0.078) Loss 4.3098 (5.1934) Prec@1 16.406 (8.783) Prec@5 36.328 (22.040)
Epoch: [0][4960/5005] Time 0.196 (0.226) Data 0.052 (0.078) Loss 4.6832 (5.1919) Prec@1 13.672 (8.796) Prec@5 29.297 (22.066)
Epoch: [0][4970/5005] Time 0.191 (0.226) Data 0.043 (0.078) Loss 4.5173 (5.1905) Prec@1 14.062 (8.805) Prec@5 33.594 (22.090)
Epoch: [0][4980/5005] Time 0.198 (0.226) Data 0.047 (0.078) Loss 4.6062 (5.1889) Prec@1 12.109 (8.816) Prec@5 32.031 (22.114)
Epoch: [0][4990/5005] Time 0.205 (0.226) Data 0.083 (0.078) Loss 4.3768 (5.1873) Prec@1 14.453 (8.832) Prec@5 33.203 (22.141)
Epoch: [0][5000/5005] Time 0.194 (0.226) Data 0.038 (0.078) Loss 4.5413 (5.1859) Prec@1 12.500 (8.842) Prec@5 32.031 (22.162)
Test: [0/196] Time 2.431 (2.431) Loss 4.4262 (4.4262) Prec@1 14.453 (14.453) Prec@5 37.109 (37.109)
Test: [10/196] Time 0.211 (0.391) Loss 4.5910 (4.5562) Prec@1 14.062 (14.347) Prec@5 33.984 (32.884)
Test: [20/196] Time 0.044 (0.305) Loss 4.2875 (4.5454) Prec@1 19.531 (14.174) Prec@5 38.281 (32.775)
Test: [30/196] Time 0.279 (0.273) Loss 4.3946 (4.5654) Prec@1 14.844 (13.873) Prec@5 32.812 (32.094)
Test: [40/196] Time 0.338 (0.258) Loss 4.4774 (4.5623) Prec@1 13.672 (13.929) Prec@5 33.984 (32.250)
Test: [50/196] Time 0.461 (0.260) Loss 4.5792 (4.5676) Prec@1 11.328 (13.871) Prec@5 30.078 (32.184)
Test: [60/196] Time 0.350 (0.251) Loss 4.3586 (4.5640) Prec@1 17.578 (13.909) Prec@5 35.156 (32.262)
Test: [70/196] Time 0.044 (0.245) Loss 4.5293 (4.5617) Prec@1 10.938 (13.798) Prec@5 31.641 (32.185)
Test: [80/196] Time 0.732 (0.248) Loss 4.3419 (4.5576) Prec@1 19.531 (13.899) Prec@5 35.156 (32.099)
Test: [90/196] Time 0.043 (0.239) Loss 4.4568 (4.5584) Prec@1 16.016 (13.904) Prec@5 36.328 (32.091)
Test: [100/196] Time 0.631 (0.241) Loss 4.4746 (4.5576) Prec@1 16.016 (13.974) Prec@5 35.156 (32.105)
Test: [110/196] Time 0.045 (0.240) Loss 4.7236 (4.5530) Prec@1 12.109 (13.989) Prec@5 28.906 (32.168)
Test: [120/196] Time 0.120 (0.235) Loss 4.3919 (4.5493) Prec@1 14.062 (14.046) Prec@5 33.984 (32.277)
Test: [130/196] Time 0.045 (0.235) Loss 4.4240 (4.5461) Prec@1 16.016 (14.143) Prec@5 30.469 (32.258)
Test: [140/196] Time 0.416 (0.236) Loss 4.4484 (4.5467) Prec@1 13.281 (14.071) Prec@5 32.812 (32.253)
Test: [150/196] Time 0.347 (0.235) Loss 4.3231 (4.5433) Prec@1 15.625 (14.130) Prec@5 36.328 (32.318)
Test: [160/196] Time 0.297 (0.234) Loss 4.4258 (4.5431) Prec@1 19.141 (14.213) Prec@5 36.719 (32.269)
Test: [170/196] Time 0.140 (0.232) Loss 4.4120 (4.5455) Prec@1 16.797 (14.197) Prec@5 35.547 (32.264)
Test: [180/196] Time 0.796 (0.235) Loss 4.6972 (4.5472) Prec@1 10.938 (14.138) Prec@5 28.906 (32.232)
Test: [190/196] Time 0.229 (0.233) Loss 4.7196 (4.5479) Prec@1 12.109 (14.177) Prec@5 28.516 (32.213)
* Prec@1 14.196 Prec@5 32.242
Learning rate: 0.001
Epoch: [1][0/5005] Time 2.218 (2.218) Data 2.113 (2.113) Loss 4.3589 (4.3589) Prec@1 12.891 (12.891) Prec@5 37.500 (37.500)
Epoch: [1][10/5005] Time 0.200 (0.383) Data 0.044 (0.241) Loss 4.2946 (4.4420) Prec@1 16.797 (13.530) Prec@5 35.547 (32.812)
Epoch: [1][20/5005] Time 0.211 (0.297) Data 0.042 (0.147) Loss 4.3649 (4.4528) Prec@1 16.797 (14.174) Prec@5 33.203 (33.092)
Epoch: [1][30/5005] Time 0.202 (0.265) Data 0.051 (0.117) Loss 4.4451 (4.4314) Prec@1 16.016 (14.667) Prec@5 33.594 (33.669)
Epoch: [1][40/5005] Time 0.191 (0.249) Data 0.045 (0.100) Loss 4.3535 (4.4357) Prec@1 16.016 (14.691) Prec@5 39.453 (33.965)
Epoch: [1][50/5005] Time 0.202 (0.239) Data 0.043 (0.089) Loss 4.3005 (4.4231) Prec@1 17.188 (14.936) Prec@5 38.672 (34.237)
Epoch: [1][60/5005] Time 0.202 (0.233) Data 0.042 (0.082) Loss 4.3814 (4.4186) Prec@1 13.281 (14.946) Prec@5 31.250 (34.343)
Epoch: [1][70/5005] Time 0.207 (0.229) Data 0.046 (0.076) Loss 4.3052 (4.4334) Prec@1 15.234 (14.811) Prec@5 37.109 (34.182)
Epoch: [1][80/5005] Time 0.206 (0.226) Data 0.051 (0.073) Loss 4.4060 (4.4295) Prec@1 14.062 (14.853) Prec@5 35.938 (34.182)
Epoch: [1][90/5005] Time 0.207 (0.223) Data 0.044 (0.070) Loss 4.3130 (4.4273) Prec@1 19.922 (14.852) Prec@5 39.062 (34.289)
Epoch: [1][100/5005] Time 0.199 (0.225) Data 0.045 (0.068) Loss 4.3291 (4.4198) Prec@1 15.625 (14.929) Prec@5 31.250 (34.414)
Epoch: [1][110/5005] Time 0.198 (0.222) Data 0.053 (0.067) Loss 4.3521 (4.4182) Prec@1 17.578 (15.094) Prec@5 35.547 (34.498)
Epoch: [1][120/5005] Time 0.197 (0.220) Data 0.044 (0.066) Loss 4.4370 (4.4181) Prec@1 17.188 (15.108) Prec@5 35.938 (34.520)
Epoch: [1][130/5005] Time 0.194 (0.219) Data 0.052 (0.064) Loss 4.3114 (4.4148) Prec@1 17.188 (15.157) Prec@5 37.500 (34.533)
Epoch: [1][140/5005] Time 0.201 (0.218) Data 0.088 (0.065) Loss 4.4675 (4.4114) Prec@1 13.281 (15.173) Prec@5 32.031 (34.583)
Epoch: [1][150/5005] Time 0.201 (0.219) Data 0.046 (0.069) Loss 4.6012 (4.4189) Prec@1 12.500 (15.102) Prec@5 32.031 (34.437)
Epoch: [1][160/5005] Time 0.195 (0.220) Data 0.050 (0.071) Loss 4.3373 (4.4195) Prec@1 11.328 (15.074) Prec@5 34.375 (34.404)
Epoch: [1][170/5005] Time 0.193 (0.221) Data 0.063 (0.074) Loss 4.6494 (4.4176) Prec@1 14.453 (15.109) Prec@5 30.859 (34.430)
Epoch: [1][180/5005] Time 0.374 (0.224) Data 0.279 (0.078) Loss 4.6576 (4.4177) Prec@1 12.891 (15.088) Prec@5 33.203 (34.457)
Epoch: [1][190/5005] Time 0.214 (0.225) Data 0.045 (0.079) Loss 4.5378 (4.4233) Prec@1 15.625 (15.036) Prec@5 34.766 (34.359)
Epoch: [1][200/5005] Time 0.218 (0.226) Data 0.048 (0.079) Loss 4.5451 (4.4204) Prec@1 13.281 (15.075) Prec@5 33.984 (34.410)
Epoch: [1][210/5005] Time 0.227 (0.226) Data 0.133 (0.081) Loss 4.0890 (4.4163) Prec@1 21.484 (15.110) Prec@5 41.406 (34.464)
Epoch: [1][220/5005] Time 0.216 (0.227) Data 0.044 (0.081) Loss 4.4513 (4.4164) Prec@1 15.234 (15.128) Prec@5 33.984 (34.469)
Epoch: [1][230/5005] Time 0.216 (0.228) Data 0.045 (0.083) Loss 4.3159 (4.4141) Prec@1 17.578 (15.168) Prec@5 38.281 (34.490)
Epoch: [1][240/5005] Time 0.249 (0.228) Data 0.167 (0.082) Loss 4.2516 (4.4128) Prec@1 21.875 (15.210) Prec@5 42.188 (34.521)
Epoch: [1][250/5005] Time 0.203 (0.229) Data 0.051 (0.083) Loss 4.4752 (4.4127) Prec@1 13.281 (15.194) Prec@5 31.641 (34.476)
Epoch: [1][260/5005] Time 0.221 (0.229) Data 0.047 (0.083) Loss 4.2706 (4.4115) Prec@1 19.922 (15.209) Prec@5 36.328 (34.534)
Epoch: [1][270/5005] Time 0.211 (0.229) Data 0.045 (0.083) Loss 4.5087 (4.4095) Prec@1 16.406 (15.256) Prec@5 34.375 (34.560)
Epoch: [1][280/5005] Time 0.651 (0.231) Data 0.568 (0.086) Loss 4.7061 (4.4103) Prec@1 12.891 (15.240) Prec@5 32.422 (34.595)
Epoch: [1][290/5005] Time 0.216 (0.230) Data 0.041 (0.085) Loss 4.3358 (4.4101) Prec@1 17.188 (15.253) Prec@5 37.109 (34.583)
Epoch: [1][300/5005] Time 0.205 (0.230) Data 0.086 (0.085) Loss 4.2166 (4.4077) Prec@1 16.406 (15.304) Prec@5 38.672 (34.662)
Epoch: [1][310/5005] Time 0.441 (0.231) Data 0.357 (0.087) Loss 4.2306 (4.4034) Prec@1 15.625 (15.350) Prec@5 37.500 (34.733)
Epoch: [1][320/5005] Time 0.202 (0.231) Data 0.057 (0.088) Loss 4.5870 (4.4044) Prec@1 12.891 (15.357) Prec@5 30.078 (34.735)
Epoch: [1][330/5005] Time 0.206 (0.232) Data 0.044 (0.089) Loss 4.1720 (4.4029) Prec@1 13.672 (15.370) Prec@5 38.281 (34.767)
Epoch: [1][340/5005] Time 0.403 (0.232) Data 0.311 (0.089) Loss 4.4849 (4.4061) Prec@1 15.625 (15.345) Prec@5 35.547 (34.727)
Epoch: [1][350/5005] Time 0.191 (0.232) Data 0.113 (0.090) Loss 4.4822 (4.4052) Prec@1 15.234 (15.349) Prec@5 35.938 (34.758)
Epoch: [1][360/5005] Time 0.209 (0.232) Data 0.043 (0.089) Loss 4.4890 (4.4042) Prec@1 12.500 (15.378) Prec@5 30.859 (34.759)
Epoch: [1][370/5005] Time 0.215 (0.231) Data 0.044 (0.088) Loss 4.3216 (4.4022) Prec@1 15.625 (15.433) Prec@5 35.156 (34.798)
Epoch: [1][380/5005] Time 0.215 (0.231) Data 0.043 (0.086) Loss 4.5669 (4.4020) Prec@1 13.281 (15.444) Prec@5 29.688 (34.813)
Epoch: [1][390/5005] Time 0.213 (0.230) Data 0.041 (0.085) Loss 4.2961 (4.4021) Prec@1 20.312 (15.471) Prec@5 38.672 (34.815)
Epoch: [1][400/5005] Time 0.216 (0.230) Data 0.044 (0.084) Loss 4.3365 (4.4010) Prec@1 15.625 (15.485) Prec@5 34.375 (34.848)
Epoch: [1][410/5005] Time 0.216 (0.229) Data 0.043 (0.083) Loss 4.2864 (4.4007) Prec@1 14.453 (15.483) Prec@5 37.109 (34.876)
Epoch: [1][420/5005] Time 0.213 (0.229) Data 0.039 (0.082) Loss 4.3933 (4.3999) Prec@1 17.578 (15.508) Prec@5 35.156 (34.873)
Epoch: [1][430/5005] Time 0.211 (0.229) Data 0.043 (0.081) Loss 4.2723 (4.3984) Prec@1 16.406 (15.522) Prec@5 34.375 (34.885)
Epoch: [1][440/5005] Time 0.213 (0.228) Data 0.048 (0.081) Loss 4.3239 (4.3974) Prec@1 16.016 (15.539) Prec@5 36.328 (34.896)
Epoch: [1][450/5005] Time 0.218 (0.228) Data 0.044 (0.080) Loss 4.2586 (4.3977) Prec@1 17.188 (15.531) Prec@5 33.203 (34.886)
Epoch: [1][460/5005] Time 0.213 (0.228) Data 0.039 (0.079) Loss 4.4931 (4.3969) Prec@1 15.234 (15.553) Prec@5 34.375 (34.877)
Epoch: [1][470/5005] Time 0.217 (0.227) Data 0.045 (0.078) Loss 4.4308 (4.3976) Prec@1 14.844 (15.552) Prec@5 32.812 (34.856)
Epoch: [1][480/5005] Time 0.225 (0.227) Data 0.040 (0.077) Loss 4.1902 (4.3968) Prec@1 16.797 (15.573) Prec@5 40.625 (34.872)
Epoch: [1][490/5005] Time 0.213 (0.227) Data 0.045 (0.077) Loss 4.2677 (4.3958) Prec@1 16.797 (15.579) Prec@5 40.234 (34.891)
Epoch: [1][500/5005] Time 0.210 (0.227) Data 0.047 (0.076) Loss 4.4202 (4.3965) Prec@1 14.062 (15.585) Prec@5 33.594 (34.897)
Epoch: [1][510/5005] Time 0.207 (0.226) Data 0.043 (0.076) Loss 4.5568 (4.3966) Prec@1 10.156 (15.575) Prec@5 29.297 (34.893)
Epoch: [1][520/5005] Time 0.206 (0.226) Data 0.049 (0.075) Loss 4.4933 (4.3958) Prec@1 13.672 (15.583) Prec@5 31.641 (34.916)
Epoch: [1][530/5005] Time 0.207 (0.226) Data 0.050 (0.075) Loss 4.3072 (4.3955) Prec@1 17.188 (15.571) Prec@5 35.156 (34.902)
Epoch: [1][540/5005] Time 0.205 (0.225) Data 0.043 (0.074) Loss 4.6140 (4.3962) Prec@1 11.328 (15.565) Prec@5 34.766 (34.919)
Epoch: [1][550/5005] Time 0.208 (0.225) Data 0.050 (0.074) Loss 4.2768 (4.3955) Prec@1 17.188 (15.578) Prec@5 35.156 (34.933)
Epoch: [1][560/5005] Time 0.203 (0.225) Data 0.058 (0.073) Loss 4.3958 (4.3948) Prec@1 16.016 (15.589) Prec@5 39.062 (34.953)
Epoch: [1][570/5005] Time 0.207 (0.225) Data 0.046 (0.073) Loss 4.4008 (4.3946) Prec@1 16.797 (15.588) Prec@5 37.500 (34.967)
Epoch: [1][580/5005] Time 0.213 (0.224) Data 0.048 (0.073) Loss 4.3824 (4.3928) Prec@1 15.625 (15.618) Prec@5 34.766 (34.990)
Epoch: [1][590/5005] Time 0.207 (0.224) Data 0.052 (0.072) Loss 4.4096 (4.3921) Prec@1 16.797 (15.634) Prec@5 31.641 (35.006)
Epoch: [1][600/5005] Time 0.209 (0.224) Data 0.044 (0.072) Loss 4.3209 (4.3923) Prec@1 16.406 (15.616) Prec@5 37.109 (35.010)
Epoch: [1][610/5005] Time 0.204 (0.224) Data 0.056 (0.072) Loss 4.3878 (4.3913) Prec@1 20.703 (15.619) Prec@5 33.594 (35.035)
Epoch: [1][620/5005] Time 0.219 (0.224) Data 0.041 (0.071) Loss 4.2493 (4.3900) Prec@1 19.141 (15.637) Prec@5 35.938 (35.056)
Epoch: [1][630/5005] Time 0.222 (0.223) Data 0.043 (0.071) Loss 4.4565 (4.3889) Prec@1 12.500 (15.658) Prec@5 32.422 (35.096)
Epoch: [1][640/5005] Time 0.216 (0.223) Data 0.044 (0.070) Loss 4.1761 (4.3873) Prec@1 18.750 (15.673) Prec@5 37.109 (35.128)
Epoch: [1][650/5005] Time 0.211 (0.223) Data 0.044 (0.070) Loss 4.5370 (4.3873) Prec@1 13.672 (15.672) Prec@5 33.984 (35.131)
Epoch: [1][660/5005] Time 0.227 (0.223) Data 0.047 (0.070) Loss 4.4391 (4.3862) Prec@1 16.797 (15.699) Prec@5 33.984 (35.165)
Epoch: [1][670/5005] Time 0.215 (0.223) Data 0.051 (0.069) Loss 4.5624 (4.3857) Prec@1 12.109 (15.709) Prec@5 32.812 (35.175)
Epoch: [1][680/5005] Time 0.217 (0.223) Data 0.048 (0.069) Loss 4.4105 (4.3858) Prec@1 17.188 (15.706) Prec@5 37.891 (35.173)
Epoch: [1][690/5005] Time 0.223 (0.222) Data 0.045 (0.069) Loss 4.1607 (4.3848) Prec@1 19.922 (15.713) Prec@5 39.453 (35.182)
Epoch: [1][700/5005] Time 0.221 (0.222) Data 0.048 (0.068) Loss 4.2116 (4.3842) Prec@1 19.141 (15.728) Prec@5 41.016 (35.193)
Epoch: [1][710/5005] Time 0.209 (0.222) Data 0.044 (0.068) Loss 4.1668 (4.3832) Prec@1 17.969 (15.744) Prec@5 35.547 (35.211)
Epoch: [1][720/5005] Time 0.203 (0.222) Data 0.048 (0.068) Loss 4.1843 (4.3823) Prec@1 17.969 (15.762) Prec@5 38.281 (35.229)
Epoch: [1][730/5005] Time 0.211 (0.222) Data 0.063 (0.068) Loss 4.5582 (4.3824) Prec@1 14.844 (15.761) Prec@5 32.422 (35.234)
Epoch: [1][740/5005] Time 0.214 (0.222) Data 0.050 (0.068) Loss 4.4050 (4.3815) Prec@1 21.484 (15.790) Prec@5 38.672 (35.275)
Epoch: [1][750/5005] Time 0.208 (0.222) Data 0.048 (0.067) Loss 4.2952 (4.3807) Prec@1 14.844 (15.791) Prec@5 33.984 (35.287)
Epoch: [1][760/5005] Time 0.213 (0.221) Data 0.042 (0.067) Loss 4.3604 (4.3810) Prec@1 14.062 (15.775) Prec@5 37.891 (35.291)
Epoch: [1][770/5005] Time 0.205 (0.221) Data 0.048 (0.067) Loss 4.3153 (4.3796) Prec@1 16.016 (15.798) Prec@5 34.375 (35.329)
Epoch: [1][780/5005] Time 0.211 (0.221) Data 0.040 (0.067) Loss 4.3065 (4.3783) Prec@1 15.234 (15.816) Prec@5 35.938 (35.345)
Epoch: [1][790/5005] Time 0.207 (0.221) Data 0.047 (0.067) Loss 4.2657 (4.3773) Prec@1 19.922 (15.833) Prec@5 37.500 (35.374)
Epoch: [1][800/5005] Time 0.213 (0.221) Data 0.043 (0.067) Loss 4.1251 (4.3760) Prec@1 19.531 (15.860) Prec@5 39.844 (35.402)
Epoch: [1][810/5005] Time 0.197 (0.221) Data 0.050 (0.067) Loss 4.3530 (4.3757) Prec@1 14.844 (15.871) Prec@5 35.156 (35.408)
Epoch: [1][820/5005] Time 0.207 (0.221) Data 0.040 (0.067) Loss 4.4524 (4.3756) Prec@1 14.453 (15.870) Prec@5 33.594 (35.407)
Epoch: [1][830/5005] Time 0.198 (0.221) Data 0.047 (0.067) Loss 4.2471 (4.3754) Prec@1 16.797 (15.869) Prec@5 40.234 (35.411)
Epoch: [1][840/5005] Time 0.652 (0.222) Data 0.563 (0.068) Loss 4.2530 (4.3750) Prec@1 16.016 (15.860) Prec@5 34.375 (35.416)
Epoch: [1][850/5005] Time 0.217 (0.222) Data 0.050 (0.068) Loss 4.3847 (4.3738) Prec@1 16.797 (15.891) Prec@5 35.938 (35.438)
Epoch: [1][860/5005] Time 0.206 (0.222) Data 0.049 (0.069) Loss 4.3272 (4.3726) Prec@1 15.234 (15.909) Prec@5 38.281 (35.467)
Epoch: [1][870/5005] Time 0.198 (0.222) Data 0.062 (0.069) Loss 4.4126 (4.3712) Prec@1 16.797 (15.948) Prec@5 37.109 (35.496)
Epoch: [1][880/5005] Time 0.217 (0.223) Data 0.039 (0.069) Loss 4.2590 (4.3709) Prec@1 18.359 (15.948) Prec@5 35.156 (35.502)
Epoch: [1][890/5005] Time 0.193 (0.222) Data 0.046 (0.069) Loss 4.3892 (4.3702) Prec@1 16.016 (15.963) Prec@5 34.375 (35.510)
Epoch: [1][900/5005] Time 0.204 (0.222) Data 0.049 (0.069) Loss 4.2589 (4.3693) Prec@1 12.109 (15.961) Prec@5 36.328 (35.533)
Epoch: [1][910/5005] Time 0.211 (0.222) Data 0.044 (0.069) Loss 4.1978 (4.3682) Prec@1 18.359 (15.972) Prec@5 40.234 (35.556)
Epoch: [1][920/5005] Time 0.218 (0.223) Data 0.042 (0.070) Loss 4.0526 (4.3663) Prec@1 16.797 (15.987) Prec@5 41.797 (35.593)
Epoch: [1][930/5005] Time 0.188 (0.223) Data 0.087 (0.071) Loss 4.1954 (4.3651) Prec@1 16.406 (16.000) Prec@5 41.797 (35.619)
Epoch: [1][940/5005] Time 0.194 (0.224) Data 0.105 (0.071) Loss 4.2640 (4.3644) Prec@1 17.578 (16.005) Prec@5 37.109 (35.640)
Epoch: [1][950/5005] Time 0.198 (0.224) Data 0.048 (0.071) Loss 4.3861 (4.3643) Prec@1 16.406 (16.016) Prec@5 35.547 (35.647)
Epoch: [1][960/5005] Time 0.209 (0.225) Data 0.051 (0.072) Loss 4.5840 (4.3639) Prec@1 17.578 (16.027) Prec@5 33.984 (35.650)
Epoch: [1][970/5005] Time 0.207 (0.225) Data 0.054 (0.073) Loss 4.2021 (4.3633) Prec@1 19.922 (16.033) Prec@5 39.062 (35.660)
Epoch: [1][980/5005] Time 0.194 (0.225) Data 0.056 (0.073) Loss 4.2614 (4.3624) Prec@1 17.578 (16.048) Prec@5 36.719 (35.665)
Epoch: [1][990/5005] Time 0.215 (0.225) Data 0.041 (0.073) Loss 4.2032 (4.3616) Prec@1 16.016 (16.047) Prec@5 39.844 (35.671)
Epoch: [1][1000/5005] Time 0.208 (0.225) Data 0.045 (0.072) Loss 4.3154 (4.3605) Prec@1 16.797 (16.066) Prec@5 37.891 (35.701)
Epoch: [1][1010/5005] Time 0.207 (0.224) Data 0.042 (0.072) Loss 4.4775 (4.3598) Prec@1 14.062 (16.079) Prec@5 35.938 (35.715)
Epoch: [1][1020/5005] Time 0.204 (0.224) Data 0.053 (0.072) Loss 4.0803 (4.3589) Prec@1 19.531 (16.098) Prec@5 44.141 (35.739)
Epoch: [1][1030/5005] Time 0.207 (0.224) Data 0.041 (0.072) Loss 4.3584 (4.3576) Prec@1 15.234 (16.124) Prec@5 32.812 (35.757)
Epoch: [1][1040/5005] Time 0.208 (0.224) Data 0.041 (0.071) Loss 4.4515 (4.3570) Prec@1 14.453 (16.135) Prec@5 32.812 (35.769)
Epoch: [1][1050/5005] Time 0.216 (0.224) Data 0.042 (0.071) Loss 4.3629 (4.3569) Prec@1 15.625 (16.135) Prec@5 35.938 (35.766)
Epoch: [1][1060/5005] Time 0.215 (0.224) Data 0.042 (0.071) Loss 4.2686 (4.3568) Prec@1 19.922 (16.141) Prec@5 39.062 (35.774)
Epoch: [1][1070/5005] Time 0.217 (0.224) Data 0.042 (0.071) Loss 4.1417 (4.3561) Prec@1 16.797 (16.137) Prec@5 38.672 (35.783)
Epoch: [1][1080/5005] Time 0.217 (0.224) Data 0.044 (0.070) Loss 4.1751 (4.3553) Prec@1 19.922 (16.144) Prec@5 39.844 (35.793)
Epoch: [1][1090/5005] Time 0.212 (0.223) Data 0.043 (0.070) Loss 4.1299 (4.3543) Prec@1 17.969 (16.149) Prec@5 37.109 (35.808)
Epoch: [1][1100/5005] Time 0.204 (0.223) Data 0.051 (0.070) Loss 4.1922 (4.3534) Prec@1 16.797 (16.160) Prec@5 36.328 (35.819)
Epoch: [1][1110/5005] Time 0.209 (0.223) Data 0.048 (0.070) Loss 4.3577 (4.3527) Prec@1 16.797 (16.172) Prec@5 36.719 (35.828)
Epoch: [1][1120/5005] Time 0.205 (0.223) Data 0.049 (0.070) Loss 4.1740 (4.3514) Prec@1 19.922 (16.181) Prec@5 40.625 (35.853)
Epoch: [1][1130/5005] Time 0.209 (0.223) Data 0.040 (0.069) Loss 4.2001 (4.3513) Prec@1 19.141 (16.182) Prec@5 37.109 (35.856)
Epoch: [1][1140/5005] Time 0.206 (0.223) Data 0.044 (0.069) Loss 4.3460 (4.3503) Prec@1 16.016 (16.198) Prec@5 36.719 (35.875)
Epoch: [1][1150/5005] Time 0.202 (0.223) Data 0.042 (0.069) Loss 4.2600 (4.3490) Prec@1 16.797 (16.216) Prec@5 34.766 (35.900)
Epoch: [1][1160/5005] Time 0.208 (0.223) Data 0.041 (0.069) Loss 4.2514 (4.3488) Prec@1 20.312 (16.226) Prec@5 35.156 (35.901)
Epoch: [1][1170/5005] Time 0.211 (0.222) Data 0.042 (0.069) Loss 4.2824 (4.3478) Prec@1 17.969 (16.239) Prec@5 37.500 (35.924)
Epoch: [1][1180/5005] Time 0.215 (0.222) Data 0.042 (0.068) Loss 4.4574 (4.3475) Prec@1 16.406 (16.238) Prec@5 32.812 (35.919)
Epoch: [1][1190/5005] Time 0.209 (0.222) Data 0.046 (0.068) Loss 4.1289 (4.3466) Prec@1 19.141 (16.250) Prec@5 40.234 (35.936)
Epoch: [1][1200/5005] Time 0.203 (0.222) Data 0.040 (0.068) Loss 4.1438 (4.3457) Prec@1 21.484 (16.267) Prec@5 40.625 (35.952)
Epoch: [1][1210/5005] Time 0.205 (0.222) Data 0.040 (0.068) Loss 4.3529 (4.3451) Prec@1 16.406 (16.280) Prec@5 36.328 (35.964)
Epoch: [1][1220/5005] Time 0.204 (0.222) Data 0.044 (0.068) Loss 4.2247 (4.3448) Prec@1 19.531 (16.281) Prec@5 39.844 (35.974)
Epoch: [1][1230/5005] Time 0.211 (0.222) Data 0.039 (0.068) Loss 4.3312 (4.3440) Prec@1 16.016 (16.292) Prec@5 36.719 (35.988)
Epoch: [1][1240/5005] Time 0.436 (0.222) Data 0.342 (0.068) Loss 4.3550 (4.3432) Prec@1 18.750 (16.307) Prec@5 35.547 (35.999)
Epoch: [1][1250/5005] Time 0.210 (0.222) Data 0.045 (0.068) Loss 4.5139 (4.3429) Prec@1 13.672 (16.319) Prec@5 32.031 (36.012)
Epoch: [1][1260/5005] Time 0.203 (0.222) Data 0.040 (0.068) Loss 3.9289 (4.3417) Prec@1 21.484 (16.334) Prec@5 38.672 (36.029)
Epoch: [1][1270/5005] Time 0.454 (0.222) Data 0.374 (0.069) Loss 4.3200 (4.3415) Prec@1 15.625 (16.329) Prec@5 33.203 (36.024)
Epoch: [1][1280/5005] Time 0.323 (0.222) Data 0.238 (0.069) Loss 4.2821 (4.3413) Prec@1 18.359 (16.325) Prec@5 37.109 (36.020)
Epoch: [1][1290/5005] Time 0.206 (0.222) Data 0.047 (0.069) Loss 4.0682 (4.3407) Prec@1 21.484 (16.334) Prec@5 41.406 (36.032)
Epoch: [1][1300/5005] Time 0.194 (0.222) Data 0.058 (0.069) Loss 4.1941 (4.3398) Prec@1 19.141 (16.350) Prec@5 41.406 (36.050)
Epoch: [1][1310/5005] Time 0.207 (0.222) Data 0.048 (0.069) Loss 4.3252 (4.3390) Prec@1 14.453 (16.352) Prec@5 37.500 (36.063)
Epoch: [1][1320/5005] Time 0.208 (0.222) Data 0.045 (0.069) Loss 4.3143 (4.3384) Prec@1 14.844 (16.362) Prec@5 35.938 (36.076)
Epoch: [1][1330/5005] Time 0.216 (0.222) Data 0.046 (0.069) Loss 4.3340 (4.3382) Prec@1 15.234 (16.363) Prec@5 35.156 (36.079)
Epoch: [1][1340/5005] Time 0.205 (0.222) Data 0.048 (0.069) Loss 4.0995 (4.3370) Prec@1 17.188 (16.374) Prec@5 35.938 (36.105)
Epoch: [1][1350/5005] Time 0.208 (0.222) Data 0.047 (0.069) Loss 4.5115 (4.3367) Prec@1 13.672 (16.378) Prec@5 33.594 (36.117)
Epoch: [1][1360/5005] Time 0.196 (0.222) Data 0.044 (0.069) Loss 4.2337 (4.3359) Prec@1 14.844 (16.379) Prec@5 38.672 (36.127)
Epoch: [1][1370/5005] Time 0.201 (0.222) Data 0.054 (0.069) Loss 4.3985 (4.3351) Prec@1 13.672 (16.388) Prec@5 32.812 (36.138)
Epoch: [1][1380/5005] Time 0.201 (0.222) Data 0.046 (0.069) Loss 4.2474 (4.3342) Prec@1 19.531 (16.391) Prec@5 35.156 (36.147)
Epoch: [1][1390/5005] Time 0.209 (0.222) Data 0.050 (0.069) Loss 4.2430 (4.3338) Prec@1 14.062 (16.393) Prec@5 35.156 (36.155)
Epoch: [1][1400/5005] Time 0.235 (0.222) Data 0.154 (0.070) Loss 4.2747 (4.3328) Prec@1 19.141 (16.409) Prec@5 37.109 (36.168)
Epoch: [1][1410/5005] Time 0.212 (0.222) Data 0.131 (0.070) Loss 4.3466 (4.3323) Prec@1 16.797 (16.420) Prec@5 39.453 (36.185)
Epoch: [1][1420/5005] Time 0.203 (0.222) Data 0.044 (0.070) Loss 4.4452 (4.3319) Prec@1 15.625 (16.427) Prec@5 34.375 (36.192)
Epoch: [1][1430/5005] Time 0.201 (0.222) Data 0.041 (0.070) Loss 4.0781 (4.3312) Prec@1 19.141 (16.440) Prec@5 41.016 (36.208)
Epoch: [1][1440/5005] Time 0.581 (0.223) Data 0.500 (0.070) Loss 4.0504 (4.3303) Prec@1 21.875 (16.449) Prec@5 41.016 (36.218)
Epoch: [1][1450/5005] Time 0.201 (0.223) Data 0.044 (0.070) Loss 4.1315 (4.3295) Prec@1 20.312 (16.462) Prec@5 36.719 (36.229)
Epoch: [1][1460/5005] Time 0.204 (0.222) Data 0.044 (0.070) Loss 4.2538 (4.3288) Prec@1 17.969 (16.474) Prec@5 34.766 (36.248)
Epoch: [1][1470/5005] Time 0.208 (0.222) Data 0.043 (0.070) Loss 4.2948 (4.3285) Prec@1 16.406 (16.484) Prec@5 35.547 (36.256)
Epoch: [1][1480/5005] Time 0.220 (0.222) Data 0.047 (0.070) Loss 4.1746 (4.3281) Prec@1 19.141 (16.495) Prec@5 37.109 (36.264)
Epoch: [1][1490/5005] Time 0.209 (0.222) Data 0.048 (0.070) Loss 4.4945 (4.3273) Prec@1 16.016 (16.506) Prec@5 35.547 (36.280)
Epoch: [1][1500/5005] Time 0.207 (0.222) Data 0.049 (0.070) Loss 4.2285 (4.3268) Prec@1 16.016 (16.514) Prec@5 37.500 (36.287)
Epoch: [1][1510/5005] Time 0.196 (0.222) Data 0.051 (0.070) Loss 4.0674 (4.3258) Prec@1 21.094 (16.532) Prec@5 39.844 (36.310)
Epoch: [1][1520/5005] Time 0.198 (0.222) Data 0.045 (0.071) Loss 4.3390 (4.3250) Prec@1 14.453 (16.542) Prec@5 36.719 (36.328)
Epoch: [1][1530/5005] Time 0.204 (0.223) Data 0.043 (0.071) Loss 4.5392 (4.3245) Prec@1 12.109 (16.549) Prec@5 35.547 (36.341)
Epoch: [1][1540/5005] Time 0.205 (0.222) Data 0.063 (0.071) Loss 4.3452 (4.3244) Prec@1 16.406 (16.552) Prec@5 37.500 (36.345)
Epoch: [1][1550/5005] Time 0.201 (0.222) Data 0.056 (0.071) Loss 4.1997 (4.3233) Prec@1 21.875 (16.558) Prec@5 41.016 (36.365)
Epoch: [1][1560/5005] Time 0.432 (0.222) Data 0.346 (0.071) Loss 3.9940 (4.3226) Prec@1 21.875 (16.565) Prec@5 38.281 (36.378)
Epoch: [1][1570/5005] Time 0.190 (0.223) Data 0.047 (0.072) Loss 4.0776 (4.3218) Prec@1 18.750 (16.574) Prec@5 38.281 (36.392)
Epoch: [1][1580/5005] Time 0.200 (0.223) Data 0.050 (0.072) Loss 4.2221 (4.3214) Prec@1 13.672 (16.577) Prec@5 37.109 (36.400)
Epoch: [1][1590/5005] Time 0.218 (0.223) Data 0.046 (0.072) Loss 4.1110 (4.3205) Prec@1 21.094 (16.586) Prec@5 43.359 (36.421)
Epoch: [1][1600/5005] Time 0.201 (0.223) Data 0.057 (0.072) Loss 4.2551 (4.3199) Prec@1 15.625 (16.586) Prec@5 33.203 (36.429)
Epoch: [1][1610/5005] Time 0.203 (0.223) Data 0.050 (0.072) Loss 4.0350 (4.3191) Prec@1 19.531 (16.594) Prec@5 39.844 (36.450)
Epoch: [1][1620/5005] Time 0.194 (0.223) Data 0.055 (0.072) Loss 4.3612 (4.3185) Prec@1 17.578 (16.603) Prec@5 34.375 (36.462)
Epoch: [1][1630/5005] Time 0.327 (0.223) Data 0.245 (0.072) Loss 4.1519 (4.3182) Prec@1 19.531 (16.611) Prec@5 42.188 (36.470)
Epoch: [1][1640/5005] Time 0.199 (0.223) Data 0.047 (0.072) Loss 4.1934 (4.3177) Prec@1 18.750 (16.617) Prec@5 42.188 (36.493)
Epoch: [1][1650/5005] Time 0.204 (0.223) Data 0.046 (0.072) Loss 4.2485 (4.3170) Prec@1 20.312 (16.634) Prec@5 34.375 (36.504)
Epoch: [1][1660/5005] Time 0.267 (0.223) Data 0.179 (0.072) Loss 4.0724 (4.3157) Prec@1 19.922 (16.651) Prec@5 40.234 (36.530)
Epoch: [1][1670/5005] Time 0.199 (0.223) Data 0.048 (0.072) Loss 4.0427 (4.3154) Prec@1 19.141 (16.655) Prec@5 40.625 (36.539)
Epoch: [1][1680/5005] Time 0.410 (0.223) Data 0.321 (0.072) Loss 4.2980 (4.3151) Prec@1 16.406 (16.654) Prec@5 34.766 (36.547)
Epoch: [1][1690/5005] Time 0.246 (0.223) Data 0.163 (0.072) Loss 4.0297 (4.3144) Prec@1 21.484 (16.664) Prec@5 39.453 (36.552)
Epoch: [1][1700/5005] Time 0.205 (0.223) Data 0.056 (0.072) Loss 4.1971 (4.3136) Prec@1 14.844 (16.668) Prec@5 38.281 (36.562)
Epoch: [1][1710/5005] Time 0.213 (0.223) Data 0.047 (0.072) Loss 3.9605 (4.3127) Prec@1 22.656 (16.679) Prec@5 42.188 (36.572)
Epoch: [1][1720/5005] Time 0.209 (0.223) Data 0.052 (0.072) Loss 4.2374 (4.3121) Prec@1 16.016 (16.686) Prec@5 35.547 (36.579)
Epoch: [1][1730/5005] Time 0.204 (0.223) Data 0.039 (0.073) Loss 4.0081 (4.3110) Prec@1 19.141 (16.697) Prec@5 38.281 (36.598)
Epoch: [1][1740/5005] Time 0.211 (0.223) Data 0.057 (0.073) Loss 4.4127 (4.3104) Prec@1 15.625 (16.706) Prec@5 34.766 (36.618)
Epoch: [1][1750/5005] Time 0.205 (0.223) Data 0.044 (0.073) Loss 4.2154 (4.3093) Prec@1 15.234 (16.717) Prec@5 36.719 (36.635)
Epoch: [1][1760/5005] Time 0.357 (0.223) Data 0.275 (0.073) Loss 3.8579 (4.3085) Prec@1 22.656 (16.733) Prec@5 43.359 (36.651)
Epoch: [1][1770/5005] Time 0.204 (0.223) Data 0.047 (0.073) Loss 4.0948 (4.3076) Prec@1 19.922 (16.741) Prec@5 39.453 (36.667)
Epoch: [1][1780/5005] Time 0.214 (0.223) Data 0.046 (0.073) Loss 4.0923 (4.3068) Prec@1 19.141 (16.750) Prec@5 40.625 (36.680)
Epoch: [1][1790/5005] Time 0.194 (0.223) Data 0.059 (0.073) Loss 4.0601 (4.3057) Prec@1 17.578 (16.762) Prec@5 40.234 (36.703)
Epoch: [1][1800/5005] Time 0.197 (0.223) Data 0.061 (0.073) Loss 4.1061 (4.3049) Prec@1 20.312 (16.773) Prec@5 41.797 (36.722)
Epoch: [1][1810/5005] Time 0.192 (0.223) Data 0.046 (0.073) Loss 4.0120 (4.3044) Prec@1 19.141 (16.782) Prec@5 43.750 (36.732)
Epoch: [1][1820/5005] Time 0.210 (0.223) Data 0.040 (0.073) Loss 4.2278 (4.3037) Prec@1 12.891 (16.788) Prec@5 35.938 (36.744)
Epoch: [1][1830/5005] Time 0.216 (0.223) Data 0.046 (0.073) Loss 3.8629 (4.3026) Prec@1 19.141 (16.797) Prec@5 42.969 (36.768)
Epoch: [1][1840/5005] Time 0.213 (0.223) Data 0.058 (0.073) Loss 4.4231 (4.3019) Prec@1 16.797 (16.808) Prec@5 36.719 (36.786)
Epoch: [1][1850/5005] Time 0.437 (0.223) Data 0.351 (0.073) Loss 4.4091 (4.3013) Prec@1 16.406 (16.812) Prec@5 34.375 (36.795)
Epoch: [1][1860/5005] Time 0.198 (0.223) Data 0.046 (0.073) Loss 4.1737 (4.3006) Prec@1 14.453 (16.810) Prec@5 35.547 (36.804)
Epoch: [1][1870/5005] Time 0.199 (0.223) Data 0.048 (0.073) Loss 4.2886 (4.3005) Prec@1 18.359 (16.809) Prec@5 39.844 (36.807)
Epoch: [1][1880/5005] Time 0.200 (0.223) Data 0.042 (0.073) Loss 4.1916 (4.3002) Prec@1 20.312 (16.815) Prec@5 41.797 (36.817)
Epoch: [1][1890/5005] Time 0.202 (0.223) Data 0.039 (0.074) Loss 4.2419 (4.2996) Prec@1 19.141 (16.820) Prec@5 37.500 (36.825)
Epoch: [1][1900/5005] Time 0.214 (0.223) Data 0.042 (0.074) Loss 4.1382 (4.2993) Prec@1 14.844 (16.824) Prec@5 37.109 (36.835)
Epoch: [1][1910/5005] Time 0.208 (0.223) Data 0.042 (0.074) Loss 4.3934 (4.2990) Prec@1 17.578 (16.834) Prec@5 36.328 (36.840)
Epoch: [1][1920/5005] Time 0.217 (0.223) Data 0.131 (0.074) Loss 4.2679 (4.2982) Prec@1 17.188 (16.841) Prec@5 37.109 (36.851)
Epoch: [1][1930/5005] Time 0.208 (0.223) Data 0.045 (0.074) Loss 4.0904 (4.2974) Prec@1 20.312 (16.853) Prec@5 40.625 (36.873)
Epoch: [1][1940/5005] Time 0.204 (0.223) Data 0.040 (0.074) Loss 4.0990 (4.2967) Prec@1 21.875 (16.861) Prec@5 41.406 (36.879)
Epoch: [1][1950/5005] Time 0.201 (0.223) Data 0.051 (0.074) Loss 4.2973 (4.2963) Prec@1 18.359 (16.869) Prec@5 34.766 (36.880)
Epoch: [1][1960/5005] Time 0.203 (0.223) Data 0.050 (0.074) Loss 3.9768 (4.2957) Prec@1 22.266 (16.875) Prec@5 42.188 (36.890)
Epoch: [1][1970/5005] Time 0.201 (0.223) Data 0.049 (0.074) Loss 4.1913 (4.2954) Prec@1 18.359 (16.875) Prec@5 41.797 (36.899)
Epoch: [1][1980/5005] Time 0.363 (0.223) Data 0.278 (0.074) Loss 4.0154 (4.2947) Prec@1 21.875 (16.884) Prec@5 42.578 (36.912)
Epoch: [1][1990/5005] Time 0.205 (0.223) Data 0.042 (0.074) Loss 4.0250 (4.2941) Prec@1 21.094 (16.892) Prec@5 42.578 (36.922)
Epoch: [1][2000/5005] Time 0.206 (0.223) Data 0.042 (0.074) Loss 3.7581 (4.2933) Prec@1 25.391 (16.909) Prec@5 47.656 (36.941)
Epoch: [1][2010/5005] Time 0.194 (0.223) Data 0.043 (0.074) Loss 4.1957 (4.2930) Prec@1 16.016 (16.910) Prec@5 37.891 (36.943)
Epoch: [1][2020/5005] Time 0.206 (0.223) Data 0.092 (0.074) Loss 4.0407 (4.2925) Prec@1 23.047 (16.914) Prec@5 40.234 (36.953)
Epoch: [1][2030/5005] Time 0.201 (0.223) Data 0.052 (0.074) Loss 4.0639 (4.2918) Prec@1 19.922 (16.925) Prec@5 39.844 (36.967)
Epoch: [1][2040/5005] Time 0.207 (0.223) Data 0.039 (0.074) Loss 4.0139 (4.2913) Prec@1 18.359 (16.929) Prec@5 39.062 (36.972)
Epoch: [1][2050/5005] Time 0.201 (0.223) Data 0.044 (0.074) Loss 4.2011 (4.2906) Prec@1 17.578 (16.937) Prec@5 37.500 (36.986)
Epoch: [1][2060/5005] Time 0.212 (0.223) Data 0.059 (0.074) Loss 4.1024 (4.2900) Prec@1 15.234 (16.940) Prec@5 37.891 (36.990)
Epoch: [1][2070/5005] Time 0.204 (0.223) Data 0.044 (0.074) Loss 4.2103 (4.2895) Prec@1 17.188 (16.945) Prec@5 35.938 (36.998)
Epoch: [1][2080/5005] Time 0.197 (0.223) Data 0.105 (0.075) Loss 4.3429 (4.2889) Prec@1 14.844 (16.955) Prec@5 34.766 (37.007)
Epoch: [1][2090/5005] Time 0.214 (0.223) Data 0.042 (0.074) Loss 4.1285 (4.2880) Prec@1 19.531 (16.965) Prec@5 39.453 (37.024)
Epoch: [1][2100/5005] Time 0.205 (0.223) Data 0.052 (0.074) Loss 4.1761 (4.2872) Prec@1 16.797 (16.974) Prec@5 41.016 (37.038)
Epoch: [1][2110/5005] Time 0.706 (0.223) Data 0.626 (0.075) Loss 4.1533 (4.2867) Prec@1 19.531 (16.982) Prec@5 40.234 (37.049)
Epoch: [1][2120/5005] Time 0.533 (0.223) Data 0.447 (0.075) Loss 4.4944 (4.2864) Prec@1 15.234 (16.986) Prec@5 33.203 (37.058)
Epoch: [1][2130/5005] Time 0.201 (0.223) Data 0.042 (0.075) Loss 4.1400 (4.2859) Prec@1 20.703 (16.998) Prec@5 40.625 (37.070)
Epoch: [1][2140/5005] Time 0.201 (0.223) Data 0.043 (0.075) Loss 4.0349 (4.2854) Prec@1 20.312 (17.008) Prec@5 41.016 (37.084)
Epoch: [1][2150/5005] Time 0.203 (0.223) Data 0.043 (0.075) Loss 4.1120 (4.2850) Prec@1 21.094 (17.013) Prec@5 42.578 (37.086)
Epoch: [1][2160/5005] Time 0.203 (0.223) Data 0.045 (0.075) Loss 4.0980 (4.2846) Prec@1 17.578 (17.018) Prec@5 39.844 (37.097)
Epoch: [1][2170/5005] Time 0.205 (0.223) Data 0.050 (0.075) Loss 4.0471 (4.2839) Prec@1 20.703 (17.030) Prec@5 45.312 (37.110)
Epoch: [1][2180/5005] Time 0.314 (0.223) Data 0.229 (0.075) Loss 4.1628 (4.2834) Prec@1 20.312 (17.040) Prec@5 42.969 (37.122)
Epoch: [1][2190/5005] Time 0.206 (0.223) Data 0.040 (0.075) Loss 4.3295 (4.2828) Prec@1 16.406 (17.050) Prec@5 37.891 (37.131)
Epoch: [1][2200/5005] Time 0.220 (0.224) Data 0.044 (0.075) Loss 4.1557 (4.2824) Prec@1 17.969 (17.051) Prec@5 41.406 (37.134)
Epoch: [1][2210/5005] Time 0.211 (0.224) Data 0.045 (0.075) Loss 4.1672 (4.2819) Prec@1 19.531 (17.058) Prec@5 38.281 (37.145)
Epoch: [1][2220/5005] Time 0.203 (0.224) Data 0.040 (0.075) Loss 4.1119 (4.2812) Prec@1 21.094 (17.068) Prec@5 41.797 (37.162)
Epoch: [1][2230/5005] Time 0.198 (0.224) Data 0.045 (0.075) Loss 4.1729 (4.2806) Prec@1 19.531 (17.076) Prec@5 35.547 (37.173)
Epoch: [1][2240/5005] Time 0.208 (0.224) Data 0.053 (0.075) Loss 3.9679 (4.2801) Prec@1 20.703 (17.079) Prec@5 44.531 (37.180)
Epoch: [1][2250/5005] Time 0.202 (0.224) Data 0.053 (0.075) Loss 4.0794 (4.2795) Prec@1 16.406 (17.086) Prec@5 42.188 (37.192)
Epoch: [1][2260/5005] Time 0.200 (0.223) Data 0.098 (0.075) Loss 4.0189 (4.2786) Prec@1 19.922 (17.096) Prec@5 43.359 (37.210)
Epoch: [1][2270/5005] Time 0.211 (0.224) Data 0.042 (0.075) Loss 4.3012 (4.2777) Prec@1 19.141 (17.111) Prec@5 39.062 (37.229)
Epoch: [1][2280/5005] Time 0.190 (0.224) Data 0.045 (0.075) Loss 4.0319 (4.2770) Prec@1 20.312 (17.117) Prec@5 40.234 (37.243)
Epoch: [1][2290/5005] Time 0.199 (0.223) Data 0.044 (0.075) Loss 4.0801 (4.2762) Prec@1 19.531 (17.126) Prec@5 41.797 (37.254)
Epoch: [1][2300/5005] Time 0.202 (0.224) Data 0.047 (0.075) Loss 4.0541 (4.2757) Prec@1 17.578 (17.133) Prec@5 41.016 (37.267)
Epoch: [1][2310/5005] Time 0.204 (0.224) Data 0.068 (0.075) Loss 3.9897 (4.2750) Prec@1 19.141 (17.140) Prec@5 39.453 (37.281)
Epoch: [1][2320/5005] Time 0.199 (0.224) Data 0.050 (0.075) Loss 4.1528 (4.2746) Prec@1 16.016 (17.139) Prec@5 37.891 (37.290)
Epoch: [1][2330/5005] Time 0.206 (0.224) Data 0.039 (0.075) Loss 4.0535 (4.2740) Prec@1 20.703 (17.146) Prec@5 43.359 (37.303)
Epoch: [1][2340/5005] Time 0.287 (0.224) Data 0.209 (0.075) Loss 4.0289 (4.2733) Prec@1 20.703 (17.155) Prec@5 43.359 (37.315)
Epoch: [1][2350/5005] Time 0.207 (0.224) Data 0.055 (0.075) Loss 4.0627 (4.2726) Prec@1 19.922 (17.164) Prec@5 42.188 (37.334)
Epoch: [1][2360/5005] Time 0.207 (0.224) Data 0.051 (0.075) Loss 3.8980 (4.2720) Prec@1 21.094 (17.175) Prec@5 45.703 (37.345)
Epoch: [1][2370/5005] Time 0.201 (0.224) Data 0.058 (0.075) Loss 4.2067 (4.2714) Prec@1 15.625 (17.178) Prec@5 36.328 (37.352)
Epoch: [1][2380/5005] Time 0.381 (0.224) Data 0.290 (0.075) Loss 4.2254 (4.2709) Prec@1 19.531 (17.184) Prec@5 41.406 (37.360)
Epoch: [1][2390/5005] Time 0.210 (0.224) Data 0.046 (0.075) Loss 4.2066 (4.2701) Prec@1 17.969 (17.199) Prec@5 39.453 (37.380)
Epoch: [1][2400/5005] Time 0.203 (0.224) Data 0.049 (0.075) Loss 4.1213 (4.2696) Prec@1 23.438 (17.203) Prec@5 41.797 (37.390)
Epoch: [1][2410/5005] Time 0.204 (0.224) Data 0.058 (0.075) Loss 4.1958 (4.2692) Prec@1 19.531 (17.211) Prec@5 42.969 (37.406)
Epoch: [1][2420/5005] Time 0.205 (0.224) Data 0.054 (0.076) Loss 4.2362 (4.2686) Prec@1 15.234 (17.215) Prec@5 40.625 (37.418)
Epoch: [1][2430/5005] Time 0.209 (0.224) Data 0.041 (0.076) Loss 4.0418 (4.2680) Prec@1 21.484 (17.226) Prec@5 39.062 (37.433)
Epoch: [1][2440/5005] Time 0.195 (0.224) Data 0.044 (0.076) Loss 3.8187 (4.2677) Prec@1 20.703 (17.231) Prec@5 43.750 (37.439)
Epoch: [1][2450/5005] Time 0.199 (0.224) Data 0.095 (0.076) Loss 4.1697 (4.2670) Prec@1 19.141 (17.242) Prec@5 38.672 (37.451)
Epoch: [1][2460/5005] Time 0.197 (0.224) Data 0.048 (0.076) Loss 4.0936 (4.2666) Prec@1 16.406 (17.248) Prec@5 37.500 (37.456)
Epoch: [1][2470/5005] Time 0.363 (0.224) Data 0.278 (0.076) Loss 4.0779 (4.2659) Prec@1 21.484 (17.260) Prec@5 40.234 (37.469)
Epoch: [1][2480/5005] Time 0.207 (0.224) Data 0.050 (0.076) Loss 4.2557 (4.2653) Prec@1 17.969 (17.269) Prec@5 38.281 (37.478)
Epoch: [1][2490/5005] Time 0.196 (0.224) Data 0.047 (0.076) Loss 4.0009 (4.2649) Prec@1 17.969 (17.271) Prec@5 41.797 (37.487)
Epoch: [1][2500/5005] Time 0.209 (0.224) Data 0.042 (0.076) Loss 3.9977 (4.2641) Prec@1 21.484 (17.282) Prec@5 41.406 (37.501)
Epoch: [1][2510/5005] Time 0.190 (0.224) Data 0.051 (0.076) Loss 4.0592 (4.2636) Prec@1 19.922 (17.286) Prec@5 40.234 (37.509)
Epoch: [1][2520/5005] Time 0.205 (0.224) Data 0.054 (0.076) Loss 4.1268 (4.2628) Prec@1 25.000 (17.299) Prec@5 41.797 (37.524)
Epoch: [1][2530/5005] Time 0.203 (0.224) Data 0.082 (0.076) Loss 4.2866 (4.2623) Prec@1 18.750 (17.305) Prec@5 34.766 (37.530)
Epoch: [1][2540/5005] Time 0.205 (0.224) Data 0.049 (0.076) Loss 4.1721 (4.2618) Prec@1 17.188 (17.312) Prec@5 37.109 (37.540)
Epoch: [1][2550/5005] Time 0.214 (0.224) Data 0.043 (0.076) Loss 4.1014 (4.2611) Prec@1 14.844 (17.320) Prec@5 36.328 (37.552)
Epoch: [1][2560/5005] Time 0.199 (0.224) Data 0.050 (0.076) Loss 4.1761 (4.2607) Prec@1 17.578 (17.328) Prec@5 41.016 (37.561)
Epoch: [1][2570/5005] Time 0.211 (0.224) Data 0.040 (0.076) Loss 4.0946 (4.2602) Prec@1 17.578 (17.334) Prec@5 41.406 (37.572)
Epoch: [1][2580/5005] Time 0.484 (0.224) Data 0.396 (0.076) Loss 4.0675 (4.2598) Prec@1 20.703 (17.338) Prec@5 41.406 (37.582)
Epoch: [1][2590/5005] Time 0.203 (0.224) Data 0.041 (0.076) Loss 4.2879 (4.2591) Prec@1 15.234 (17.351) Prec@5 39.453 (37.597)
Epoch: [1][2600/5005] Time 0.202 (0.224) Data 0.040 (0.076) Loss 4.1029 (4.2587) Prec@1 16.406 (17.354) Prec@5 39.453 (37.601)
Epoch: [1][2610/5005] Time 0.207 (0.224) Data 0.042 (0.076) Loss 4.2604 (4.2580) Prec@1 19.531 (17.364) Prec@5 37.109 (37.615)
Epoch: [1][2620/5005] Time 0.197 (0.224) Data 0.040 (0.076) Loss 4.0957 (4.2575) Prec@1 20.703 (17.372) Prec@5 40.234 (37.624)
Epoch: [1][2630/5005] Time 0.199 (0.224) Data 0.048 (0.076) Loss 4.3154 (4.2573) Prec@1 18.750 (17.376) Prec@5 34.375 (37.630)
Epoch: [1][2640/5005] Time 0.206 (0.224) Data 0.080 (0.076) Loss 4.1627 (4.2569) Prec@1 19.531 (17.384) Prec@5 39.062 (37.640)
Epoch: [1][2650/5005] Time 0.203 (0.224) Data 0.051 (0.076) Loss 4.2668 (4.2562) Prec@1 17.578 (17.391) Prec@5 36.328 (37.651)
Epoch: [1][2660/5005] Time 0.206 (0.224) Data 0.045 (0.076) Loss 4.2868 (4.2556) Prec@1 12.891 (17.398) Prec@5 36.719 (37.660)
Epoch: [1][2670/5005] Time 0.322 (0.224) Data 0.235 (0.076) Loss 3.7983 (4.2549) Prec@1 19.922 (17.407) Prec@5 45.703 (37.669)
Epoch: [1][2680/5005] Time 0.795 (0.224) Data 0.712 (0.076) Loss 4.0217 (4.2544) Prec@1 23.047 (17.410) Prec@5 44.141 (37.680)
Epoch: [1][2690/5005] Time 0.197 (0.224) Data 0.084 (0.076) Loss 3.9691 (4.2539) Prec@1 25.781 (17.418) Prec@5 42.969 (37.689)
Epoch: [1][2700/5005] Time 0.206 (0.224) Data 0.040 (0.076) Loss 4.0917 (4.2534) Prec@1 19.922 (17.424) Prec@5 37.891 (37.697)
Epoch: [1][2710/5005] Time 0.208 (0.224) Data 0.043 (0.076) Loss 3.8420 (4.2529) Prec@1 24.219 (17.431) Prec@5 46.875 (37.706)
Epoch: [1][2720/5005] Time 0.209 (0.224) Data 0.047 (0.076) Loss 4.0806 (4.2523) Prec@1 20.703 (17.438) Prec@5 37.500 (37.713)
Epoch: [1][2730/5005] Time 0.199 (0.224) Data 0.045 (0.076) Loss 4.2451 (4.2517) Prec@1 16.406 (17.443) Prec@5 38.281 (37.723)
Epoch: [1][2740/5005] Time 0.196 (0.224) Data 0.052 (0.076) Loss 3.9043 (4.2512) Prec@1 22.656 (17.450) Prec@5 42.188 (37.732)
Epoch: [1][2750/5005] Time 0.210 (0.224) Data 0.045 (0.076) Loss 4.1287 (4.2504) Prec@1 17.578 (17.459) Prec@5 40.625 (37.747)
Epoch: [1][2760/5005] Time 0.200 (0.224) Data 0.045 (0.076) Loss 4.0220 (4.2497) Prec@1 20.703 (17.466) Prec@5 42.188 (37.760)
Epoch: [1][2770/5005] Time 0.194 (0.224) Data 0.045 (0.076) Loss 3.9934 (4.2492) Prec@1 21.875 (17.472) Prec@5 41.406 (37.770)
Epoch: [1][2780/5005] Time 0.200 (0.224) Data 0.041 (0.076) Loss 4.3888 (4.2485) Prec@1 18.750 (17.479) Prec@5 37.891 (37.787)
Epoch: [1][2790/5005] Time 0.360 (0.224) Data 0.277 (0.076) Loss 4.4477 (4.2480) Prec@1 14.062 (17.483) Prec@5 31.641 (37.794)
Epoch: [1][2800/5005] Time 0.200 (0.224) Data 0.042 (0.076) Loss 3.8743 (4.2473) Prec@1 21.875 (17.492) Prec@5 44.922 (37.809)
Epoch: [1][2810/5005] Time 0.207 (0.224) Data 0.046 (0.076) Loss 4.1982 (4.2466) Prec@1 20.312 (17.502) Prec@5 35.938 (37.819)
Epoch: [1][2820/5005] Time 0.207 (0.224) Data 0.039 (0.076) Loss 3.8736 (4.2461) Prec@1 22.266 (17.506) Prec@5 44.922 (37.830)
Epoch: [1][2830/5005] Time 0.207 (0.224) Data 0.049 (0.076) Loss 4.3291 (4.2458) Prec@1 16.797 (17.510) Prec@5 36.328 (37.834)
Epoch: [1][2840/5005] Time 0.209 (0.224) Data 0.041 (0.076) Loss 4.3201 (4.2453) Prec@1 17.969 (17.516) Prec@5 37.109 (37.840)
Epoch: [1][2850/5005] Time 0.198 (0.224) Data 0.055 (0.076) Loss 4.0513 (4.2446) Prec@1 21.484 (17.527) Prec@5 41.406 (37.853)
Epoch: [1][2860/5005] Time 0.200 (0.224) Data 0.047 (0.076) Loss 4.1047 (4.2442) Prec@1 20.703 (17.533) Prec@5 39.062 (37.862)
Epoch: [1][2870/5005] Time 0.201 (0.224) Data 0.046 (0.076) Loss 4.1601 (4.2436) Prec@1 18.750 (17.541) Prec@5 38.672 (37.874)
Epoch: [1][2880/5005] Time 0.199 (0.224) Data 0.049 (0.076) Loss 3.8713 (4.2431) Prec@1 19.922 (17.543) Prec@5 44.922 (37.881)
Epoch: [1][2890/5005] Time 0.198 (0.224) Data 0.063 (0.076) Loss 4.1652 (4.2425) Prec@1 17.969 (17.552) Prec@5 39.844 (37.897)
Epoch: [1][2900/5005] Time 0.204 (0.224) Data 0.052 (0.076) Loss 3.9095 (4.2418) Prec@1 23.047 (17.559) Prec@5 42.578 (37.909)
Epoch: [1][2910/5005] Time 0.367 (0.224) Data 0.285 (0.076) Loss 4.1125 (4.2414) Prec@1 16.406 (17.562) Prec@5 38.672 (37.917)
Epoch: [1][2920/5005] Time 0.204 (0.224) Data 0.044 (0.076) Loss 4.0239 (4.2410) Prec@1 15.234 (17.566) Prec@5 42.969 (37.931)
Epoch: [1][2930/5005] Time 0.197 (0.224) Data 0.056 (0.076) Loss 4.3399 (4.2405) Prec@1 15.234 (17.573) Prec@5 37.891 (37.940)
Epoch: [1][2940/5005] Time 0.206 (0.224) Data 0.044 (0.076) Loss 4.1220 (4.2402) Prec@1 16.797 (17.575) Prec@5 37.891 (37.947)
Epoch: [1][2950/5005] Time 0.196 (0.224) Data 0.045 (0.076) Loss 4.3423 (4.2397) Prec@1 17.188 (17.582) Prec@5 35.156 (37.959)
Epoch: [1][2960/5005] Time 0.203 (0.224) Data 0.051 (0.076) Loss 4.0704 (4.2391) Prec@1 19.531 (17.588) Prec@5 41.016 (37.969)
Epoch: [1][2970/5005] Time 0.192 (0.224) Data 0.055 (0.076) Loss 4.2628 (4.2385) Prec@1 17.578 (17.596) Prec@5 37.109 (37.978)
Epoch: [1][2980/5005] Time 0.208 (0.224) Data 0.043 (0.076) Loss 4.1811 (4.2382) Prec@1 17.969 (17.598) Prec@5 38.672 (37.989)
Epoch: [1][2990/5005] Time 0.192 (0.224) Data 0.054 (0.076) Loss 4.0089 (4.2377) Prec@1 23.438 (17.605) Prec@5 40.234 (37.995)
Epoch: [1][3000/5005] Time 0.192 (0.224) Data 0.068 (0.076) Loss 4.0740 (4.2370) Prec@1 18.359 (17.613) Prec@5 44.141 (38.012)
Epoch: [1][3010/5005] Time 0.201 (0.224) Data 0.061 (0.076) Loss 4.1074 (4.2366) Prec@1 17.188 (17.615) Prec@5 37.500 (38.018)
Epoch: [1][3020/5005] Time 0.204 (0.224) Data 0.044 (0.076) Loss 3.8475 (4.2361) Prec@1 21.875 (17.620) Prec@5 44.141 (38.023)
Epoch: [1][3030/5005] Time 0.200 (0.224) Data 0.047 (0.076) Loss 4.0863 (4.2357) Prec@1 19.141 (17.628) Prec@5 39.453 (38.034)
Epoch: [1][3040/5005] Time 0.199 (0.224) Data 0.044 (0.076) Loss 3.8900 (4.2350) Prec@1 25.000 (17.639) Prec@5 41.016 (38.047)
Epoch: [1][3050/5005] Time 0.194 (0.224) Data 0.083 (0.076) Loss 4.0328 (4.2345) Prec@1 19.922 (17.646) Prec@5 42.578 (38.055)
Epoch: [1][3060/5005] Time 0.209 (0.224) Data 0.044 (0.076) Loss 4.0188 (4.2338) Prec@1 19.141 (17.655) Prec@5 42.578 (38.068)
Epoch: [1][3070/5005] Time 0.202 (0.224) Data 0.052 (0.076) Loss 4.1349 (4.2334) Prec@1 16.016 (17.659) Prec@5 42.188 (38.078)
Epoch: [1][3080/5005] Time 0.202 (0.224) Data 0.054 (0.076) Loss 4.0232 (4.2331) Prec@1 19.922 (17.664) Prec@5 40.625 (38.081)
Epoch: [1][3090/5005] Time 0.198 (0.224) Data 0.052 (0.076) Loss 4.3932 (4.2327) Prec@1 14.453 (17.665) Prec@5 33.984 (38.087)
Epoch: [1][3100/5005] Time 0.198 (0.224) Data 0.059 (0.076) Loss 3.9390 (4.2321) Prec@1 22.266 (17.672) Prec@5 42.969 (38.097)
Epoch: [1][3110/5005] Time 0.199 (0.224) Data 0.053 (0.076) Loss 3.6567 (4.2314) Prec@1 23.438 (17.682) Prec@5 51.562 (38.115)
Epoch: [1][3120/5005] Time 0.201 (0.224) Data 0.044 (0.076) Loss 4.1804 (4.2310) Prec@1 16.406 (17.686) Prec@5 37.891 (38.120)
Epoch: [1][3130/5005] Time 0.200 (0.224) Data 0.043 (0.076) Loss 4.0820 (4.2303) Prec@1 16.016 (17.694) Prec@5 38.281 (38.129)
Epoch: [1][3140/5005] Time 0.199 (0.224) Data 0.047 (0.076) Loss 3.8758 (4.2296) Prec@1 24.219 (17.703) Prec@5 42.969 (38.147)
Epoch: [1][3150/5005] Time 0.206 (0.224) Data 0.043 (0.076) Loss 4.1015 (4.2291) Prec@1 22.266 (17.712) Prec@5 43.750 (38.160)
Epoch: [1][3160/5005] Time 0.208 (0.224) Data 0.040 (0.076) Loss 3.9412 (4.2285) Prec@1 24.609 (17.722) Prec@5 44.531 (38.172)
Epoch: [1][3170/5005] Time 0.202 (0.224) Data 0.042 (0.076) Loss 4.3626 (4.2281) Prec@1 16.797 (17.729) Prec@5 39.062 (38.179)
Epoch: [1][3180/5005] Time 0.603 (0.224) Data 0.514 (0.076) Loss 3.8227 (4.2277) Prec@1 24.219 (17.734) Prec@5 44.922 (38.187)
Epoch: [1][3190/5005] Time 0.197 (0.224) Data 0.049 (0.076) Loss 4.0305 (4.2274) Prec@1 22.656 (17.738) Prec@5 43.359 (38.194)
Epoch: [1][3200/5005] Time 0.212 (0.224) Data 0.043 (0.076) Loss 4.0844 (4.2268) Prec@1 18.359 (17.743) Prec@5 37.109 (38.205)
Epoch: [1][3210/5005] Time 0.208 (0.224) Data 0.051 (0.076) Loss 4.1895 (4.2263) Prec@1 16.797 (17.749) Prec@5 36.719 (38.219)
Epoch: [1][3220/5005] Time 0.206 (0.224) Data 0.043 (0.076) Loss 4.1387 (4.2258) Prec@1 22.266 (17.759) Prec@5 37.109 (38.227)
Epoch: [1][3230/5005] Time 0.799 (0.224) Data 0.720 (0.076) Loss 4.0093 (4.2252) Prec@1 19.141 (17.763) Prec@5 40.234 (38.239)
Epoch: [1][3240/5005] Time 0.191 (0.224) Data 0.041 (0.076) Loss 4.2862 (4.2251) Prec@1 15.234 (17.764) Prec@5 38.281 (38.241)
Epoch: [1][3250/5005] Time 0.199 (0.224) Data 0.044 (0.076) Loss 4.0771 (4.2247) Prec@1 17.578 (17.766) Prec@5 36.328 (38.242)
Epoch: [1][3260/5005] Time 0.202 (0.224) Data 0.043 (0.076) Loss 4.0649 (4.2245) Prec@1 18.359 (17.770) Prec@5 38.281 (38.246)
Epoch: [1][3270/5005] Time 0.191 (0.224) Data 0.047 (0.076) Loss 4.2317 (4.2239) Prec@1 19.141 (17.777) Prec@5 41.797 (38.260)
Epoch: [1][3280/5005] Time 0.272 (0.224) Data 0.192 (0.076) Loss 4.0341 (4.2236) Prec@1 23.828 (17.781) Prec@5 41.797 (38.263)
Epoch: [1][3290/5005] Time 0.211 (0.224) Data 0.129 (0.076) Loss 4.0618 (4.2230) Prec@1 17.188 (17.789) Prec@5 42.578 (38.274)
Epoch: [1][3300/5005] Time 0.197 (0.224) Data 0.061 (0.076) Loss 4.1594 (4.2225) Prec@1 14.062 (17.796) Prec@5 37.891 (38.283)
Epoch: [1][3310/5005] Time 0.193 (0.224) Data 0.049 (0.076) Loss 3.9958 (4.2221) Prec@1 23.047 (17.802) Prec@5 43.359 (38.291)
Epoch: [1][3320/5005] Time 0.197 (0.224) Data 0.051 (0.076) Loss 3.9939 (4.2215) Prec@1 21.875 (17.812) Prec@5 42.578 (38.304)
Epoch: [1][3330/5005] Time 0.203 (0.224) Data 0.048 (0.076) Loss 4.0597 (4.2209) Prec@1 22.266 (17.823) Prec@5 42.188 (38.318)
Epoch: [1][3340/5005] Time 0.205 (0.224) Data 0.045 (0.076) Loss 4.0996 (4.2204) Prec@1 19.922 (17.829) Prec@5 44.141 (38.329)
Epoch: [1][3350/5005] Time 0.207 (0.224) Data 0.039 (0.076) Loss 4.1934 (4.2199) Prec@1 17.969 (17.836) Prec@5 38.672 (38.338)
Epoch: [1][3360/5005] Time 0.238 (0.224) Data 0.149 (0.076) Loss 4.0191 (4.2194) Prec@1 23.438 (17.845) Prec@5 45.312 (38.349)
Epoch: [1][3370/5005] Time 0.206 (0.224) Data 0.054 (0.076) Loss 3.9281 (4.2187) Prec@1 20.312 (17.853) Prec@5 42.969 (38.361)
Epoch: [1][3380/5005] Time 0.201 (0.224) Data 0.048 (0.077) Loss 3.7704 (4.2180) Prec@1 23.828 (17.860) Prec@5 45.312 (38.371)
Epoch: [1][3390/5005] Time 0.202 (0.224) Data 0.043 (0.077) Loss 3.9891 (4.2178) Prec@1 20.312 (17.861) Prec@5 43.359 (38.374)
Epoch: [1][3400/5005] Time 0.204 (0.224) Data 0.044 (0.077) Loss 3.9499 (4.2174) Prec@1 22.266 (17.867) Prec@5 44.922 (38.381)
Epoch: [1][3410/5005] Time 0.206 (0.224) Data 0.045 (0.076) Loss 4.0240 (4.2170) Prec@1 17.969 (17.873) Prec@5 42.188 (38.389)
Epoch: [1][3420/5005] Time 0.216 (0.224) Data 0.130 (0.076) Loss 3.9365 (4.2165) Prec@1 20.703 (17.881) Prec@5 42.578 (38.401)
Epoch: [1][3430/5005] Time 0.197 (0.224) Data 0.050 (0.076) Loss 3.9267 (4.2162) Prec@1 25.000 (17.885) Prec@5 43.750 (38.406)
Epoch: [1][3440/5005] Time 0.200 (0.224) Data 0.107 (0.077) Loss 4.3198 (4.2157) Prec@1 16.797 (17.890) Prec@5 37.109 (38.413)
Epoch: [1][3450/5005] Time 0.201 (0.224) Data 0.048 (0.077) Loss 3.7715 (4.2151) Prec@1 22.656 (17.899) Prec@5 49.219 (38.427)
Epoch: [1][3460/5005] Time 0.202 (0.224) Data 0.055 (0.077) Loss 3.8312 (4.2146) Prec@1 25.391 (17.908) Prec@5 44.922 (38.435)
Epoch: [1][3470/5005] Time 0.207 (0.224) Data 0.049 (0.077) Loss 3.9128 (4.2140) Prec@1 19.531 (17.917) Prec@5 44.141 (38.450)
Epoch: [1][3480/5005] Time 0.206 (0.224) Data 0.084 (0.077) Loss 4.0393 (4.2132) Prec@1 22.266 (17.925) Prec@5 44.922 (38.463)
Epoch: [1][3490/5005] Time 0.203 (0.224) Data 0.047 (0.077) Loss 4.1269 (4.2128) Prec@1 18.750 (17.931) Prec@5 38.281 (38.470)
Epoch: [1][3500/5005] Time 0.197 (0.224) Data 0.044 (0.077) Loss 3.8697 (4.2123) Prec@1 21.484 (17.936) Prec@5 44.141 (38.480)
Epoch: [1][3510/5005] Time 0.193 (0.224) Data 0.045 (0.077) Loss 4.1002 (4.2117) Prec@1 17.969 (17.942) Prec@5 40.625 (38.489)
Epoch: [1][3520/5005] Time 0.278 (0.224) Data 0.195 (0.077) Loss 4.0544 (4.2113) Prec@1 18.750 (17.949) Prec@5 42.188 (38.497)
Epoch: [1][3530/5005] Time 0.201 (0.224) Data 0.041 (0.077) Loss 3.9358 (4.2107) Prec@1 27.344 (17.960) Prec@5 44.141 (38.511)
Epoch: [1][3540/5005] Time 0.200 (0.224) Data 0.067 (0.077) Loss 3.9987 (4.2100) Prec@1 19.922 (17.969) Prec@5 42.578 (38.523)
Epoch: [1][3550/5005] Time 0.194 (0.224) Data 0.063 (0.077) Loss 3.8861 (4.2093) Prec@1 18.750 (17.978) Prec@5 42.969 (38.537)
Epoch: [1][3560/5005] Time 0.202 (0.224) Data 0.046 (0.077) Loss 4.1749 (4.2089) Prec@1 16.406 (17.983) Prec@5 36.328 (38.543)
Epoch: [1][3570/5005] Time 0.199 (0.224) Data 0.044 (0.077) Loss 4.1145 (4.2084) Prec@1 17.969 (17.988) Prec@5 40.625 (38.552)
Epoch: [1][3580/5005] Time 0.204 (0.224) Data 0.049 (0.077) Loss 3.9465 (4.2080) Prec@1 23.438 (17.991) Prec@5 43.750 (38.563)
Epoch: [1][3590/5005] Time 0.197 (0.224) Data 0.046 (0.077) Loss 4.1735 (4.2074) Prec@1 18.750 (17.998) Prec@5 37.500 (38.577)
Epoch: [1][3600/5005] Time 0.199 (0.224) Data 0.053 (0.077) Loss 4.1676 (4.2069) Prec@1 20.312 (18.005) Prec@5 40.625 (38.582)
Epoch: [1][3610/5005] Time 0.204 (0.224) Data 0.045 (0.077) Loss 4.0209 (4.2065) Prec@1 19.141 (18.010) Prec@5 41.797 (38.588)
Epoch: [1][3620/5005] Time 0.195 (0.224) Data 0.084 (0.077) Loss 4.2578 (4.2061) Prec@1 16.016 (18.016) Prec@5 38.672 (38.597)
Epoch: [1][3630/5005] Time 0.206 (0.224) Data 0.044 (0.077) Loss 4.3365 (4.2056) Prec@1 15.234 (18.018) Prec@5 35.938 (38.606)
Epoch: [1][3640/5005] Time 0.209 (0.224) Data 0.080 (0.077) Loss 4.0494 (4.2051) Prec@1 19.922 (18.025) Prec@5 42.578 (38.618)
Epoch: [1][3650/5005] Time 0.210 (0.224) Data 0.045 (0.077) Loss 4.0505 (4.2047) Prec@1 20.312 (18.030) Prec@5 43.750 (38.624)
Epoch: [1][3660/5005] Time 0.308 (0.224) Data 0.220 (0.077) Loss 4.1997 (4.2042) Prec@1 19.141 (18.036) Prec@5 41.406 (38.634)
Epoch: [1][3670/5005] Time 0.199 (0.224) Data 0.048 (0.077) Loss 4.2261 (4.2038) Prec@1 19.141 (18.041) Prec@5 40.625 (38.643)
Epoch: [1][3680/5005] Time 0.206 (0.224) Data 0.045 (0.077) Loss 4.0600 (4.2035) Prec@1 18.359 (18.044) Prec@5 41.016 (38.650)
Epoch: [1][3690/5005] Time 0.196 (0.224) Data 0.053 (0.077) Loss 4.1118 (4.2031) Prec@1 17.578 (18.049) Prec@5 39.453 (38.658)
Epoch: [1][3700/5005] Time 0.316 (0.224) Data 0.233 (0.077) Loss 4.1776 (4.2028) Prec@1 21.094 (18.051) Prec@5 37.891 (38.664)
Epoch: [1][3710/5005] Time 0.206 (0.224) Data 0.044 (0.077) Loss 3.9523 (4.2024) Prec@1 19.531 (18.055) Prec@5 42.578 (38.672)
Epoch: [1][3720/5005] Time 0.192 (0.224) Data 0.050 (0.077) Loss 4.1912 (4.2019) Prec@1 19.141 (18.063) Prec@5 42.969 (38.683)
Epoch: [1][3730/5005] Time 0.206 (0.224) Data 0.045 (0.077) Loss 3.9400 (4.2013) Prec@1 19.922 (18.071) Prec@5 46.484 (38.694)
Epoch: [1][3740/5005] Time 0.204 (0.224) Data 0.047 (0.077) Loss 4.0523 (4.2006) Prec@1 21.094 (18.078) Prec@5 41.797 (38.711)
Epoch: [1][3750/5005] Time 0.203 (0.224) Data 0.052 (0.077) Loss 4.0361 (4.2002) Prec@1 15.234 (18.083) Prec@5 39.453 (38.720)
Epoch: [1][3760/5005] Time 0.205 (0.224) Data 0.049 (0.077) Loss 4.1151 (4.1999) Prec@1 17.969 (18.089) Prec@5 39.844 (38.725)
Epoch: [1][3770/5005] Time 0.212 (0.224) Data 0.044 (0.077) Loss 4.1348 (4.1995) Prec@1 18.750 (18.090) Prec@5 38.672 (38.730)
Epoch: [1][3780/5005] Time 0.201 (0.224) Data 0.048 (0.077) Loss 4.0958 (4.1989) Prec@1 20.703 (18.097) Prec@5 41.797 (38.740)
Epoch: [1][3790/5005] Time 0.273 (0.224) Data 0.191 (0.078) Loss 4.1517 (4.1985) Prec@1 20.703 (18.100) Prec@5 42.578 (38.747)
Epoch: [1][3800/5005] Time 0.205 (0.224) Data 0.040 (0.078) Loss 3.8069 (4.1980) Prec@1 25.781 (18.107) Prec@5 45.703 (38.756)
Epoch: [1][3810/5005] Time 0.206 (0.224) Data 0.043 (0.078) Loss 3.9542 (4.1977) Prec@1 19.531 (18.109) Prec@5 46.094 (38.764)
Epoch: [1][3820/5005] Time 0.193 (0.224) Data 0.040 (0.078) Loss 3.9190 (4.1971) Prec@1 22.266 (18.114) Prec@5 41.797 (38.773)
Epoch: [1][3830/5005] Time 0.199 (0.224) Data 0.054 (0.078) Loss 4.1203 (4.1965) Prec@1 17.188 (18.121) Prec@5 39.453 (38.788)
Epoch: [1][3840/5005] Time 0.213 (0.224) Data 0.048 (0.077) Loss 4.2032 (4.1961) Prec@1 17.188 (18.129) Prec@5 37.109 (38.796)
Epoch: [1][3850/5005] Time 0.204 (0.224) Data 0.040 (0.077) Loss 4.0526 (4.1956) Prec@1 17.578 (18.135) Prec@5 37.891 (38.805)
Epoch: [1][3860/5005] Time 0.216 (0.224) Data 0.042 (0.077) Loss 3.8797 (4.1951) Prec@1 23.047 (18.139) Prec@5 44.922 (38.815)
Epoch: [1][3870/5005] Time 0.207 (0.224) Data 0.044 (0.077) Loss 4.0081 (4.1947) Prec@1 22.266 (18.143) Prec@5 41.797 (38.821)
Epoch: [1][3880/5005] Time 0.300 (0.224) Data 0.219 (0.077) Loss 4.0775 (4.1944) Prec@1 19.531 (18.147) Prec@5 40.234 (38.831)
Epoch: [1][3890/5005] Time 0.209 (0.224) Data 0.043 (0.077) Loss 4.2043 (4.1939) Prec@1 18.750 (18.153) Prec@5 39.844 (38.838)
Epoch: [1][3900/5005] Time 0.198 (0.224) Data 0.041 (0.077) Loss 4.3243 (4.1934) Prec@1 18.359 (18.159) Prec@5 32.422 (38.847)
Epoch: [1][3910/5005] Time 0.187 (0.224) Data 0.091 (0.077) Loss 4.1253 (4.1930) Prec@1 16.016 (18.163) Prec@5 39.453 (38.858)
Epoch: [1][3920/5005] Time 0.196 (0.224) Data 0.045 (0.078) Loss 4.0499 (4.1926) Prec@1 19.531 (18.171) Prec@5 41.797 (38.866)
Epoch: [1][3930/5005] Time 0.210 (0.224) Data 0.043 (0.078) Loss 3.9089 (4.1919) Prec@1 24.219 (18.180) Prec@5 40.625 (38.877)
Epoch: [1][3940/5005] Time 0.196 (0.224) Data 0.047 (0.078) Loss 3.9082 (4.1915) Prec@1 21.875 (18.184) Prec@5 43.359 (38.885)
Epoch: [1][3950/5005] Time 0.197 (0.224) Data 0.090 (0.077) Loss 4.0088 (4.1910) Prec@1 18.359 (18.188) Prec@5 42.188 (38.895)
Epoch: [1][3960/5005] Time 0.196 (0.224) Data 0.047 (0.077) Loss 3.6957 (4.1905) Prec@1 23.438 (18.195) Prec@5 48.438 (38.905)
Epoch: [1][3970/5005] Time 0.380 (0.224) Data 0.290 (0.077) Loss 4.0505 (4.1899) Prec@1 17.969 (18.203) Prec@5 44.922 (38.915)
Epoch: [1][3980/5005] Time 0.274 (0.224) Data 0.185 (0.078) Loss 3.8033 (4.1894) Prec@1 24.219 (18.207) Prec@5 45.312 (38.923)
Epoch: [1][3990/5005] Time 0.207 (0.224) Data 0.056 (0.078) Loss 4.2624 (4.1891) Prec@1 17.578 (18.209) Prec@5 35.156 (38.932)
Epoch: [1][4000/5005] Time 0.208 (0.224) Data 0.042 (0.078) Loss 4.0099 (4.1886) Prec@1 17.578 (18.215) Prec@5 42.969 (38.942)
Epoch: [1][4010/5005] Time 0.204 (0.224) Data 0.051 (0.078) Loss 4.2414 (4.1879) Prec@1 16.016 (18.220) Prec@5 39.062 (38.954)
Epoch: [1][4020/5005] Time 0.275 (0.224) Data 0.190 (0.078) Loss 4.0486 (4.1875) Prec@1 18.750 (18.224) Prec@5 44.531 (38.961)
Epoch: [1][4030/5005] Time 0.204 (0.224) Data 0.053 (0.078) Loss 4.2257 (4.1873) Prec@1 21.875 (18.232) Prec@5 38.672 (38.967)
Epoch: [1][4040/5005] Time 0.190 (0.224) Data 0.046 (0.078) Loss 3.9940 (4.1871) Prec@1 22.656 (18.236) Prec@5 43.359 (38.970)
Epoch: [1][4050/5005] Time 0.198 (0.224) Data 0.057 (0.078) Loss 4.2616 (4.1866) Prec@1 16.797 (18.242) Prec@5 36.719 (38.978)
Epoch: [1][4060/5005] Time 0.202 (0.224) Data 0.046 (0.078) Loss 3.9951 (4.1862) Prec@1 20.703 (18.247) Prec@5 41.016 (38.987)
Epoch: [1][4070/5005] Time 0.443 (0.224) Data 0.356 (0.078) Loss 4.0217 (4.1856) Prec@1 21.875 (18.254) Prec@5 44.141 (38.995)
Epoch: [1][4080/5005] Time 0.213 (0.224) Data 0.048 (0.078) Loss 3.8963 (4.1852) Prec@1 18.359 (18.259) Prec@5 43.750 (39.002)
Epoch: [1][4090/5005] Time 0.197 (0.224) Data 0.091 (0.078) Loss 4.0012 (4.1847) Prec@1 20.312 (18.265) Prec@5 45.703 (39.012)
Epoch: [1][4100/5005] Time 0.198 (0.224) Data 0.049 (0.078) Loss 4.1406 (4.1843) Prec@1 16.797 (18.270) Prec@5 37.500 (39.018)
Epoch: [1][4110/5005] Time 0.202 (0.224) Data 0.041 (0.078) Loss 4.3267 (4.1839) Prec@1 13.672 (18.275) Prec@5 35.938 (39.028)
Epoch: [1][4120/5005] Time 0.211 (0.224) Data 0.045 (0.078) Loss 4.1958 (4.1833) Prec@1 17.188 (18.282) Prec@5 39.453 (39.038)
Epoch: [1][4130/5005] Time 0.219 (0.224) Data 0.042 (0.078) Loss 4.2322 (4.1829) Prec@1 22.656 (18.288) Prec@5 39.062 (39.046)
Epoch: [1][4140/5005] Time 0.199 (0.224) Data 0.048 (0.078) Loss 4.0759 (4.1825) Prec@1 21.094 (18.292) Prec@5 43.359 (39.055)
Epoch: [1][4150/5005] Time 0.237 (0.224) Data 0.150 (0.078) Loss 4.2751 (4.1821) Prec@1 19.141 (18.295) Prec@5 35.938 (39.061)
Epoch: [1][4160/5005] Time 0.203 (0.224) Data 0.054 (0.078) Loss 3.9179 (4.1817) Prec@1 20.312 (18.300) Prec@5 44.531 (39.069)
Epoch: [1][4170/5005] Time 0.212 (0.224) Data 0.040 (0.078) Loss 3.9151 (4.1810) Prec@1 17.578 (18.307) Prec@5 44.531 (39.080)
Epoch: [1][4180/5005] Time 0.194 (0.224) Data 0.111 (0.078) Loss 4.0036 (4.1804) Prec@1 20.312 (18.315) Prec@5 42.188 (39.091)
Epoch: [1][4190/5005] Time 0.203 (0.224) Data 0.051 (0.078) Loss 3.9590 (4.1800) Prec@1 19.922 (18.321) Prec@5 42.969 (39.100)
Epoch: [1][4200/5005] Time 0.269 (0.224) Data 0.188 (0.078) Loss 3.6329 (4.1794) Prec@1 24.219 (18.327) Prec@5 52.344 (39.111)
Epoch: [1][4210/5005] Time 0.199 (0.224) Data 0.048 (0.078) Loss 4.0145 (4.1789) Prec@1 21.094 (18.333) Prec@5 41.406 (39.120)
Epoch: [1][4220/5005] Time 0.203 (0.224) Data 0.048 (0.078) Loss 4.1841 (4.1787) Prec@1 14.062 (18.337) Prec@5 36.328 (39.124)
Epoch: [1][4230/5005] Time 0.202 (0.224) Data 0.043 (0.078) Loss 3.9874 (4.1782) Prec@1 20.312 (18.342) Prec@5 42.969 (39.132)
Epoch: [1][4240/5005] Time 0.203 (0.224) Data 0.039 (0.078) Loss 3.7358 (4.1777) Prec@1 21.094 (18.349) Prec@5 48.047 (39.142)
Epoch: [1][4250/5005] Time 0.354 (0.224) Data 0.268 (0.078) Loss 3.9275 (4.1771) Prec@1 21.484 (18.357) Prec@5 44.922 (39.154)
Epoch: [1][4260/5005] Time 0.200 (0.224) Data 0.052 (0.078) Loss 4.0951 (4.1767) Prec@1 19.141 (18.364) Prec@5 40.234 (39.159)
Epoch: [1][4270/5005] Time 0.406 (0.224) Data 0.323 (0.078) Loss 4.2234 (4.1765) Prec@1 19.922 (18.370) Prec@5 38.672 (39.165)
Epoch: [1][4280/5005] Time 0.192 (0.224) Data 0.048 (0.078) Loss 4.0204 (4.1761) Prec@1 18.359 (18.377) Prec@5 43.750 (39.172)
Epoch: [1][4290/5005] Time 0.202 (0.224) Data 0.042 (0.078) Loss 4.1952 (4.1756) Prec@1 20.312 (18.383) Prec@5 38.281 (39.179)
Epoch: [1][4300/5005] Time 0.203 (0.224) Data 0.057 (0.078) Loss 3.9881 (4.1752) Prec@1 21.875 (18.389) Prec@5 41.797 (39.186)
Epoch: [1][4310/5005] Time 0.206 (0.224) Data 0.044 (0.078) Loss 4.0040 (4.1749) Prec@1 21.484 (18.396) Prec@5 42.188 (39.192)
Epoch: [1][4320/5005] Time 0.190 (0.224) Data 0.061 (0.078) Loss 4.0273 (4.1745) Prec@1 20.703 (18.402) Prec@5 40.625 (39.202)
Epoch: [1][4330/5005] Time 0.208 (0.224) Data 0.048 (0.079) Loss 3.9419 (4.1741) Prec@1 20.703 (18.411) Prec@5 42.578 (39.210)
Epoch: [1][4340/5005] Time 0.207 (0.224) Data 0.041 (0.079) Loss 3.8946 (4.1737) Prec@1 22.266 (18.415) Prec@5 42.969 (39.216)
Epoch: [1][4350/5005] Time 0.205 (0.224) Data 0.049 (0.079) Loss 3.9715 (4.1733) Prec@1 21.875 (18.419) Prec@5 41.797 (39.222)
Epoch: [1][4360/5005] Time 0.196 (0.224) Data 0.055 (0.079) Loss 3.8715 (4.1728) Prec@1 22.266 (18.426) Prec@5 42.188 (39.230)
Epoch: [1][4370/5005] Time 0.195 (0.224) Data 0.048 (0.079) Loss 3.9252 (4.1723) Prec@1 23.828 (18.433) Prec@5 45.312 (39.241)
Epoch: [1][4380/5005] Time 0.210 (0.224) Data 0.048 (0.079) Loss 4.0387 (4.1718) Prec@1 21.875 (18.438) Prec@5 42.969 (39.251)
Epoch: [1][4390/5005] Time 0.193 (0.224) Data 0.047 (0.079) Loss 4.1648 (4.1711) Prec@1 17.969 (18.447) Prec@5 41.797 (39.267)
Epoch: [1][4400/5005] Time 0.213 (0.224) Data 0.043 (0.079) Loss 4.0171 (4.1707) Prec@1 23.047 (18.456) Prec@5 40.625 (39.275)
Epoch: [1][4410/5005] Time 0.205 (0.224) Data 0.040 (0.079) Loss 4.0311 (4.1703) Prec@1 17.969 (18.459) Prec@5 40.234 (39.282)
Epoch: [1][4420/5005] Time 0.314 (0.224) Data 0.223 (0.079) Loss 3.7153 (4.1697) Prec@1 25.000 (18.464) Prec@5 48.438 (39.293)
Epoch: [1][4430/5005] Time 0.211 (0.224) Data 0.041 (0.079) Loss 3.9967 (4.1690) Prec@1 19.922 (18.473) Prec@5 41.797 (39.305)
Epoch: [1][4440/5005] Time 0.196 (0.224) Data 0.047 (0.079) Loss 4.0906 (4.1685) Prec@1 22.266 (18.480) Prec@5 39.844 (39.315)
Epoch: [1][4450/5005] Time 0.199 (0.224) Data 0.047 (0.079) Loss 3.8502 (4.1680) Prec@1 26.953 (18.486) Prec@5 43.750 (39.322)
Epoch: [1][4460/5005] Time 0.199 (0.224) Data 0.056 (0.079) Loss 4.0315 (4.1675) Prec@1 19.922 (18.492) Prec@5 42.188 (39.332)
Epoch: [1][4470/5005] Time 0.203 (0.224) Data 0.045 (0.079) Loss 3.8580 (4.1671) Prec@1 23.047 (18.496) Prec@5 44.922 (39.341)
Epoch: [1][4480/5005] Time 0.193 (0.224) Data 0.050 (0.079) Loss 3.7537 (4.1667) Prec@1 26.172 (18.503) Prec@5 45.312 (39.348)
Epoch: [1][4490/5005] Time 0.204 (0.224) Data 0.040 (0.079) Loss 3.9723 (4.1665) Prec@1 22.266 (18.507) Prec@5 46.094 (39.350)
Epoch: [1][4500/5005] Time 0.265 (0.224) Data 0.176 (0.079) Loss 3.7819 (4.1661) Prec@1 21.484 (18.511) Prec@5 47.266 (39.359)
Epoch: [1][4510/5005] Time 0.186 (0.224) Data 0.107 (0.079) Loss 4.0353 (4.1657) Prec@1 21.484 (18.517) Prec@5 42.188 (39.367)
Epoch: [1][4520/5005] Time 0.322 (0.224) Data 0.240 (0.079) Loss 4.1253 (4.1652) Prec@1 17.969 (18.524) Prec@5 44.922 (39.378)
Epoch: [1][4530/5005] Time 0.215 (0.224) Data 0.129 (0.079) Loss 3.7722 (4.1647) Prec@1 23.047 (18.529) Prec@5 42.969 (39.387)
Epoch: [1][4540/5005] Time 0.205 (0.224) Data 0.093 (0.079) Loss 4.0976 (4.1644) Prec@1 20.703 (18.535) Prec@5 42.188 (39.392)
Epoch: [1][4550/5005] Time 0.210 (0.224) Data 0.130 (0.079) Loss 4.0575 (4.1640) Prec@1 20.312 (18.540) Prec@5 39.844 (39.402)
Epoch: [1][4560/5005] Time 0.188 (0.224) Data 0.048 (0.079) Loss 3.9743 (4.1635) Prec@1 18.359 (18.548) Prec@5 43.359 (39.413)
Epoch: [1][4570/5005] Time 0.200 (0.224) Data 0.045 (0.079) Loss 4.0360 (4.1630) Prec@1 17.969 (18.554) Prec@5 42.578 (39.421)
Epoch: [1][4580/5005] Time 0.205 (0.224) Data 0.042 (0.079) Loss 4.0926 (4.1626) Prec@1 17.578 (18.558) Prec@5 40.234 (39.429)
Epoch: [1][4590/5005] Time 0.207 (0.224) Data 0.059 (0.079) Loss 3.8196 (4.1622) Prec@1 19.531 (18.563) Prec@5 46.484 (39.438)
Epoch: [1][4600/5005] Time 0.200 (0.224) Data 0.051 (0.079) Loss 3.7174 (4.1619) Prec@1 23.438 (18.567) Prec@5 46.094 (39.443)
Epoch: [1][4610/5005] Time 0.196 (0.224) Data 0.099 (0.079) Loss 3.8034 (4.1614) Prec@1 22.266 (18.574) Prec@5 44.141 (39.453)
Epoch: [1][4620/5005] Time 0.256 (0.224) Data 0.172 (0.079) Loss 3.8286 (4.1609) Prec@1 25.391 (18.580) Prec@5 42.188 (39.460)
Epoch: [1][4630/5005] Time 0.209 (0.224) Data 0.051 (0.079) Loss 3.7569 (4.1605) Prec@1 22.656 (18.584) Prec@5 51.172 (39.469)
Epoch: [1][4640/5005] Time 0.199 (0.224) Data 0.045 (0.079) Loss 3.9452 (4.1600) Prec@1 22.266 (18.590) Prec@5 45.703 (39.478)
Epoch: [1][4650/5005] Time 0.210 (0.224) Data 0.120 (0.079) Loss 4.0232 (4.1597) Prec@1 21.094 (18.595) Prec@5 42.188 (39.484)
Epoch: [1][4660/5005] Time 0.201 (0.224) Data 0.092 (0.079) Loss 4.1244 (4.1592) Prec@1 19.531 (18.600) Prec@5 39.453 (39.494)
Epoch: [1][4670/5005] Time 0.200 (0.224) Data 0.043 (0.079) Loss 3.8142 (4.1587) Prec@1 23.047 (18.607) Prec@5 42.578 (39.501)
Epoch: [1][4680/5005] Time 0.198 (0.224) Data 0.054 (0.079) Loss 4.0291 (4.1583) Prec@1 20.312 (18.614) Prec@5 42.188 (39.510)
Epoch: [1][4690/5005] Time 0.193 (0.224) Data 0.063 (0.079) Loss 4.1234 (4.1579) Prec@1 14.453 (18.616) Prec@5 37.891 (39.515)
Epoch: [1][4700/5005] Time 0.210 (0.224) Data 0.044 (0.079) Loss 3.9128 (4.1576) Prec@1 16.797 (18.621) Prec@5 44.141 (39.522)
Epoch: [1][4710/5005] Time 0.209 (0.224) Data 0.048 (0.079) Loss 3.8106 (4.1569) Prec@1 25.000 (18.630) Prec@5 48.828 (39.532)
Epoch: [1][4720/5005] Time 0.215 (0.225) Data 0.042 (0.079) Loss 3.8504 (4.1565) Prec@1 23.047 (18.635) Prec@5 44.531 (39.539)
Epoch: [1][4730/5005] Time 0.201 (0.224) Data 0.055 (0.079) Loss 3.9121 (4.1562) Prec@1 26.172 (18.642) Prec@5 43.750 (39.543)
Epoch: [1][4740/5005] Time 0.209 (0.224) Data 0.040 (0.079) Loss 4.0193 (4.1558) Prec@1 16.406 (18.649) Prec@5 42.969 (39.554)
Epoch: [1][4750/5005] Time 0.203 (0.224) Data 0.099 (0.079) Loss 3.9925 (4.1553) Prec@1 22.266 (18.656) Prec@5 41.406 (39.564)
Epoch: [1][4760/5005] Time 0.229 (0.224) Data 0.151 (0.079) Loss 4.2728 (4.1548) Prec@1 16.016 (18.662) Prec@5 37.109 (39.571)
Epoch: [1][4770/5005] Time 0.202 (0.224) Data 0.045 (0.079) Loss 3.6816 (4.1543) Prec@1 21.484 (18.668) Prec@5 45.312 (39.580)
Epoch: [1][4780/5005] Time 0.204 (0.224) Data 0.044 (0.079) Loss 3.9893 (4.1539) Prec@1 21.094 (18.671) Prec@5 43.750 (39.587)
Epoch: [1][4790/5005] Time 0.217 (0.224) Data 0.095 (0.079) Loss 4.0607 (4.1535) Prec@1 19.531 (18.677) Prec@5 41.406 (39.594)
Epoch: [1][4800/5005] Time 0.182 (0.224) Data 0.097 (0.079) Loss 4.0290 (4.1531) Prec@1 17.578 (18.678) Prec@5 37.500 (39.600)
Epoch: [1][4810/5005] Time 0.206 (0.224) Data 0.039 (0.079) Loss 4.1313 (4.1526) Prec@1 20.312 (18.685) Prec@5 46.094 (39.607)
Epoch: [1][4820/5005] Time 0.620 (0.224) Data 0.537 (0.079) Loss 4.2047 (4.1521) Prec@1 18.750 (18.693) Prec@5 35.156 (39.616)
Epoch: [1][4830/5005] Time 0.296 (0.224) Data 0.211 (0.079) Loss 3.8851 (4.1514) Prec@1 22.656 (18.702) Prec@5 45.312 (39.627)
Epoch: [1][4840/5005] Time 0.205 (0.224) Data 0.057 (0.079) Loss 3.6407 (4.1511) Prec@1 26.562 (18.706) Prec@5 47.266 (39.633)
Epoch: [1][4850/5005] Time 0.214 (0.224) Data 0.042 (0.079) Loss 4.2231 (4.1509) Prec@1 19.922 (18.711) Prec@5 37.891 (39.638)
Epoch: [1][4860/5005] Time 0.192 (0.224) Data 0.051 (0.079) Loss 4.0736 (4.1503) Prec@1 20.703 (18.717) Prec@5 41.797 (39.648)
Epoch: [1][4870/5005] Time 0.227 (0.224) Data 0.137 (0.079) Loss 3.8586 (4.1500) Prec@1 20.703 (18.722) Prec@5 44.141 (39.655)
Epoch: [1][4880/5005] Time 0.193 (0.225) Data 0.050 (0.079) Loss 3.8753 (4.1494) Prec@1 21.484 (18.728) Prec@5 41.016 (39.666)
Epoch: [1][4890/5005] Time 0.201 (0.225) Data 0.048 (0.079) Loss 3.9033 (4.1490) Prec@1 21.484 (18.732) Prec@5 46.094 (39.672)
Epoch: [1][4900/5005] Time 0.197 (0.225) Data 0.041 (0.079) Loss 3.6849 (4.1485) Prec@1 24.219 (18.738) Prec@5 48.828 (39.681)
Epoch: [1][4910/5005] Time 0.206 (0.225) Data 0.045 (0.079) Loss 3.9238 (4.1479) Prec@1 22.656 (18.746) Prec@5 44.531 (39.692)
Epoch: [1][4920/5005] Time 0.188 (0.225) Data 0.085 (0.079) Loss 3.9280 (4.1475) Prec@1 19.922 (18.751) Prec@5 39.062 (39.699)
Epoch: [1][4930/5005] Time 0.197 (0.225) Data 0.052 (0.079) Loss 3.9409 (4.1469) Prec@1 21.875 (18.756) Prec@5 45.312 (39.710)
Epoch: [1][4940/5005] Time 0.191 (0.225) Data 0.104 (0.079) Loss 3.9727 (4.1466) Prec@1 19.922 (18.761) Prec@5 41.016 (39.716)
Epoch: [1][4950/5005] Time 0.202 (0.225) Data 0.114 (0.079) Loss 3.6948 (4.1462) Prec@1 22.266 (18.766) Prec@5 49.609 (39.722)
Epoch: [1][4960/5005] Time 0.197 (0.225) Data 0.055 (0.079) Loss 4.0855 (4.1458) Prec@1 20.312 (18.772) Prec@5 40.625 (39.730)
Epoch: [1][4970/5005] Time 0.206 (0.225) Data 0.044 (0.079) Loss 4.0338 (4.1454) Prec@1 20.312 (18.775) Prec@5 41.797 (39.738)
Epoch: [1][4980/5005] Time 0.192 (0.225) Data 0.048 (0.079) Loss 4.0609 (4.1449) Prec@1 22.266 (18.782) Prec@5 43.750 (39.749)
Epoch: [1][4990/5005] Time 0.216 (0.225) Data 0.031 (0.079) Loss 3.8793 (4.1444) Prec@1 20.703 (18.789) Prec@5 44.922 (39.760)
Epoch: [1][5000/5005] Time 0.200 (0.225) Data 0.064 (0.079) Loss 4.0564 (4.1441) Prec@1 14.062 (18.792) Prec@5 39.844 (39.767)
Test: [0/196] Time 2.079 (2.079) Loss 3.8077 (3.8077) Prec@1 19.922 (19.922) Prec@5 45.312 (45.312)
Test: [10/196] Time 0.044 (0.378) Loss 3.8820 (3.9004) Prec@1 24.219 (21.697) Prec@5 46.094 (43.892)
Test: [20/196] Time 0.043 (0.282) Loss 3.8698 (3.9176) Prec@1 25.000 (21.094) Prec@5 46.875 (43.880)
Test: [30/196] Time 0.220 (0.261) Loss 3.8597 (3.9388) Prec@1 22.266 (20.691) Prec@5 45.312 (43.246)
Test: [40/196] Time 0.655 (0.266) Loss 3.7975 (3.9375) Prec@1 25.391 (21.027) Prec@5 44.141 (43.302)
Test: [50/196] Time 0.044 (0.256) Loss 3.9976 (3.9428) Prec@1 16.016 (21.017) Prec@5 41.406 (43.252)
Test: [60/196] Time 0.643 (0.254) Loss 3.7249 (3.9377) Prec@1 26.953 (21.075) Prec@5 44.922 (43.436)
Test: [70/196] Time 0.266 (0.247) Loss 3.9247 (3.9315) Prec@1 19.922 (21.039) Prec@5 41.797 (43.513)
Test: [80/196] Time 0.148 (0.241) Loss 3.7155 (3.9281) Prec@1 24.609 (21.084) Prec@5 46.875 (43.740)
Test: [90/196] Time 0.191 (0.241) Loss 3.8498 (3.9294) Prec@1 23.047 (21.137) Prec@5 46.875 (43.664)
Test: [100/196] Time 0.043 (0.237) Loss 3.8643 (3.9270) Prec@1 24.219 (21.252) Prec@5 46.094 (43.735)
Test: [110/196] Time 0.099 (0.239) Loss 4.1058 (3.9273) Prec@1 16.797 (21.284) Prec@5 40.625 (43.796)
Test: [120/196] Time 0.043 (0.235) Loss 3.7530 (3.9244) Prec@1 22.266 (21.307) Prec@5 49.609 (43.831)
Test: [130/196] Time 0.525 (0.233) Loss 3.6128 (3.9204) Prec@1 24.219 (21.404) Prec@5 49.609 (43.872)
Test: [140/196] Time 0.340 (0.235) Loss 3.8749 (3.9193) Prec@1 23.047 (21.426) Prec@5 47.266 (43.930)
Test: [150/196] Time 0.044 (0.233) Loss 3.8221 (3.9176) Prec@1 23.438 (21.534) Prec@5 45.312 (43.972)
Test: [160/196] Time 0.042 (0.231) Loss 3.8368 (3.9167) Prec@1 25.391 (21.572) Prec@5 48.828 (44.019)
Test: [170/196] Time 0.073 (0.230) Loss 3.8198 (3.9185) Prec@1 22.656 (21.628) Prec@5 41.797 (44.054)
Test: [180/196] Time 0.200 (0.233) Loss 4.0678 (3.9226) Prec@1 16.016 (21.553) Prec@5 37.891 (43.925)
Test: [190/196] Time 0.306 (0.232) Loss 4.0408 (3.9227) Prec@1 21.094 (21.587) Prec@5 38.672 (43.883)
* Prec@1 21.570 Prec@5 43.860
Learning rate: 0.001
Epoch: [2][0/5005] Time 2.149 (2.149) Data 2.063 (2.063) Loss 3.9383 (3.9383) Prec@1 20.703 (20.703) Prec@5 41.016 (41.016)
Epoch: [2][10/5005] Time 0.198 (0.381) Data 0.058 (0.243) Loss 3.8697 (3.9093) Prec@1 19.922 (21.023) Prec@5 46.484 (43.466)
Epoch: [2][20/5005] Time 0.200 (0.295) Data 0.044 (0.148) Loss 4.0215 (3.9417) Prec@1 22.656 (21.094) Prec@5 46.484 (43.359)
Epoch: [2][30/5005] Time 0.195 (0.265) Data 0.048 (0.115) Loss 3.9815 (3.9012) Prec@1 23.047 (21.522) Prec@5 44.922 (44.229)
Epoch: [2][40/5005] Time 0.196 (0.249) Data 0.046 (0.099) Loss 3.7867 (3.9079) Prec@1 24.219 (21.465) Prec@5 44.531 (43.950)
Epoch: [2][50/5005] Time 0.198 (0.243) Data 0.053 (0.090) Loss 3.8144 (3.9013) Prec@1 21.094 (21.668) Prec@5 46.094 (43.888)
Epoch: [2][60/5005] Time 0.193 (0.236) Data 0.058 (0.084) Loss 3.9474 (3.9030) Prec@1 18.750 (21.779) Prec@5 42.969 (44.019)
Epoch: [2][70/5005] Time 0.198 (0.231) Data 0.053 (0.079) Loss 3.7663 (3.9119) Prec@1 25.000 (21.644) Prec@5 46.875 (43.882)
Epoch: [2][80/5005] Time 0.204 (0.231) Data 0.044 (0.075) Loss 3.7486 (3.9127) Prec@1 24.219 (21.605) Prec@5 50.000 (43.871)
Epoch: [2][90/5005] Time 0.197 (0.228) Data 0.040 (0.071) Loss 3.8209 (3.9076) Prec@1 26.172 (21.695) Prec@5 44.141 (43.986)
Epoch: [2][100/5005] Time 0.196 (0.225) Data 0.042 (0.069) Loss 3.8439 (3.9071) Prec@1 21.484 (21.678) Prec@5 46.094 (43.963)
Epoch: [2][110/5005] Time 0.202 (0.223) Data 0.044 (0.066) Loss 3.8268 (3.9138) Prec@1 26.562 (21.731) Prec@5 44.531 (43.958)
Epoch: [2][120/5005] Time 0.202 (0.221) Data 0.039 (0.065) Loss 4.0053 (3.9135) Prec@1 23.047 (21.746) Prec@5 46.484 (44.034)
Epoch: [2][130/5005] Time 0.197 (0.220) Data 0.039 (0.063) Loss 3.9269 (3.9104) Prec@1 29.297 (21.899) Prec@5 45.703 (44.018)
Epoch: [2][140/5005] Time 0.205 (0.226) Data 0.058 (0.062) Loss 3.8409 (3.9060) Prec@1 17.969 (21.864) Prec@5 42.969 (44.107)
Epoch: [2][150/5005] Time 0.201 (0.224) Data 0.056 (0.062) Loss 4.1194 (3.9108) Prec@1 21.484 (21.823) Prec@5 41.797 (44.079)
Epoch: [2][160/5005] Time 0.197 (0.223) Data 0.108 (0.061) Loss 3.9779 (3.9120) Prec@1 21.484 (21.800) Prec@5 41.797 (44.126)
Epoch: [2][170/5005] Time 0.195 (0.223) Data 0.088 (0.062) Loss 4.0969 (3.9126) Prec@1 19.141 (21.820) Prec@5 38.281 (44.088)
Epoch: [2][180/5005] Time 0.704 (0.226) Data 0.613 (0.067) Loss 4.1944 (3.9148) Prec@1 20.312 (21.780) Prec@5 40.625 (44.039)
Epoch: [2][190/5005] Time 0.219 (0.225) Data 0.042 (0.066) Loss 4.0375 (3.9190) Prec@1 21.094 (21.740) Prec@5 42.188 (43.940)
Epoch: [2][200/5005] Time 0.218 (0.226) Data 0.047 (0.068) Loss 3.9215 (3.9189) Prec@1 22.266 (21.720) Prec@5 44.531 (43.925)
Epoch: [2][210/5005] Time 0.215 (0.226) Data 0.047 (0.069) Loss 3.6564 (3.9161) Prec@1 25.781 (21.686) Prec@5 50.000 (43.993)
Epoch: [2][220/5005] Time 0.202 (0.227) Data 0.089 (0.070) Loss 3.9521 (3.9168) Prec@1 17.188 (21.635) Prec@5 44.531 (44.001)
Epoch: [2][230/5005] Time 0.766 (0.229) Data 0.678 (0.074) Loss 3.9905 (3.9159) Prec@1 20.312 (21.630) Prec@5 39.453 (44.004)
Epoch: [2][240/5005] Time 0.204 (0.228) Data 0.042 (0.073) Loss 3.7468 (3.9161) Prec@1 25.781 (21.621) Prec@5 50.781 (43.974)
Epoch: [2][250/5005] Time 0.337 (0.228) Data 0.257 (0.074) Loss 4.1387 (3.9157) Prec@1 19.141 (21.626) Prec@5 35.938 (43.941)
Epoch: [2][260/5005] Time 0.214 (0.231) Data 0.054 (0.076) Loss 3.8234 (3.9147) Prec@1 25.391 (21.652) Prec@5 48.438 (43.973)
Epoch: [2][270/5005] Time 0.203 (0.231) Data 0.042 (0.075) Loss 4.0363 (3.9144) Prec@1 24.219 (21.683) Prec@5 42.578 (43.979)
Epoch: [2][280/5005] Time 0.204 (0.230) Data 0.048 (0.075) Loss 4.2768 (3.9177) Prec@1 17.969 (21.662) Prec@5 35.547 (43.929)
Epoch: [2][290/5005] Time 0.209 (0.230) Data 0.045 (0.075) Loss 3.7408 (3.9191) Prec@1 23.828 (21.671) Prec@5 46.484 (43.903)
Epoch: [2][300/5005] Time 0.224 (0.231) Data 0.136 (0.077) Loss 3.7690 (3.9181) Prec@1 21.875 (21.699) Prec@5 45.703 (43.956)
Epoch: [2][310/5005] Time 0.489 (0.232) Data 0.400 (0.079) Loss 3.7549 (3.9127) Prec@1 24.219 (21.748) Prec@5 48.438 (44.044)
Epoch: [2][320/5005] Time 0.206 (0.232) Data 0.051 (0.080) Loss 3.9466 (3.9125) Prec@1 21.094 (21.765) Prec@5 44.141 (44.088)
Epoch: [2][330/5005] Time 0.200 (0.232) Data 0.045 (0.080) Loss 3.6598 (3.9123) Prec@1 23.828 (21.777) Prec@5 48.047 (44.124)
Epoch: [2][340/5005] Time 0.866 (0.234) Data 0.780 (0.083) Loss 4.0409 (3.9163) Prec@1 19.922 (21.746) Prec@5 44.531 (44.059)
Epoch: [2][350/5005] Time 0.209 (0.233) Data 0.107 (0.082) Loss 4.0514 (3.9154) Prec@1 23.047 (21.772) Prec@5 43.750 (44.071)
Epoch: [2][360/5005] Time 0.213 (0.232) Data 0.042 (0.081) Loss 4.0392 (3.9147) Prec@1 18.750 (21.787) Prec@5 41.016 (44.078)
Epoch: [2][370/5005] Time 0.216 (0.232) Data 0.040 (0.080) Loss 3.9362 (3.9141) Prec@1 21.484 (21.794) Prec@5 43.359 (44.111)
Epoch: [2][380/5005] Time 0.210 (0.231) Data 0.040 (0.079) Loss 4.0638 (3.9138) Prec@1 20.312 (21.824) Prec@5 42.969 (44.091)
Epoch: [2][390/5005] Time 0.215 (0.231) Data 0.046 (0.078) Loss 3.7703 (3.9140) Prec@1 29.297 (21.857) Prec@5 49.219 (44.098)
Epoch: [2][400/5005] Time 0.213 (0.230) Data 0.058 (0.078) Loss 3.9106 (3.9131) Prec@1 19.531 (21.847) Prec@5 42.969 (44.115)
Epoch: [2][410/5005] Time 0.208 (0.230) Data 0.043 (0.077) Loss 3.6477 (3.9123) Prec@1 23.047 (21.848) Prec@5 50.000 (44.138)
Epoch: [2][420/5005] Time 0.216 (0.230) Data 0.050 (0.076) Loss 3.9499 (3.9111) Prec@1 23.828 (21.847) Prec@5 44.141 (44.146)
Epoch: [2][430/5005] Time 0.218 (0.229) Data 0.047 (0.076) Loss 3.9065 (3.9115) Prec@1 21.875 (21.813) Prec@5 44.141 (44.143)
Epoch: [2][440/5005] Time 0.219 (0.229) Data 0.053 (0.075) Loss 3.8453 (3.9104) Prec@1 23.828 (21.800) Prec@5 43.750 (44.149)
Epoch: [2][450/5005] Time 0.205 (0.228) Data 0.044 (0.074) Loss 3.7163 (3.9101) Prec@1 23.438 (21.784) Prec@5 41.406 (44.133)
Epoch: [2][460/5005] Time 0.221 (0.228) Data 0.043 (0.074) Loss 4.0784 (3.9103) Prec@1 25.000 (21.787) Prec@5 40.625 (44.132)
Epoch: [2][470/5005] Time 0.204 (0.228) Data 0.042 (0.073) Loss 3.9179 (3.9106) Prec@1 17.578 (21.767) Prec@5 44.531 (44.145)
Epoch: [2][480/5005] Time 0.221 (0.227) Data 0.042 (0.073) Loss 3.9688 (3.9101) Prec@1 20.703 (21.754) Prec@5 42.969 (44.150)
Epoch: [2][490/5005] Time 0.216 (0.227) Data 0.041 (0.072) Loss 3.7348 (3.9097) Prec@1 25.781 (21.747) Prec@5 47.266 (44.149)
Epoch: [2][500/5005] Time 0.208 (0.227) Data 0.041 (0.071) Loss 3.9973 (3.9111) Prec@1 21.484 (21.746) Prec@5 42.578 (44.138)
Epoch: [2][510/5005] Time 0.212 (0.226) Data 0.046 (0.071) Loss 4.2038 (3.9117) Prec@1 15.625 (21.737) Prec@5 37.500 (44.116)
Epoch: [2][520/5005] Time 0.207 (0.226) Data 0.058 (0.070) Loss 3.8206 (3.9103) Prec@1 20.312 (21.751) Prec@5 41.016 (44.135)
Epoch: [2][530/5005] Time 0.205 (0.226) Data 0.051 (0.070) Loss 3.8467 (3.9105) Prec@1 25.000 (21.740) Prec@5 43.750 (44.126)
Epoch: [2][540/5005] Time 0.208 (0.226) Data 0.051 (0.070) Loss 4.0426 (3.9110) Prec@1 22.656 (21.725) Prec@5 41.797 (44.125)
Epoch: [2][550/5005] Time 0.215 (0.226) Data 0.049 (0.070) Loss 3.8203 (3.9097) Prec@1 21.094 (21.760) Prec@5 44.531 (44.155)
Epoch: [2][560/5005] Time 0.202 (0.225) Data 0.045 (0.069) Loss 3.8866 (3.9084) Prec@1 22.656 (21.788) Prec@5 44.922 (44.190)
Epoch: [2][570/5005] Time 0.215 (0.225) Data 0.043 (0.069) Loss 3.9923 (3.9088) Prec@1 23.438 (21.804) Prec@5 39.062 (44.180)
Epoch: [2][580/5005] Time 0.218 (0.225) Data 0.046 (0.068) Loss 3.9194 (3.9078) Prec@1 19.141 (21.802) Prec@5 42.969 (44.194)
Epoch: [2][590/5005] Time 0.195 (0.224) Data 0.041 (0.068) Loss 3.9874 (3.9080) Prec@1 21.484 (21.806) Prec@5 43.359 (44.165)
Epoch: [2][600/5005] Time 0.204 (0.224) Data 0.048 (0.068) Loss 3.9353 (3.9090) Prec@1 19.531 (21.795) Prec@5 42.188 (44.155)
Epoch: [2][610/5005] Time 0.223 (0.224) Data 0.041 (0.067) Loss 3.8431 (3.9085) Prec@1 23.047 (21.798) Prec@5 42.188 (44.163)
Epoch: [2][620/5005] Time 0.211 (0.224) Data 0.047 (0.067) Loss 3.8209 (3.9075) Prec@1 24.609 (21.810) Prec@5 47.656 (44.188)
Epoch: [2][630/5005] Time 0.212 (0.224) Data 0.068 (0.067) Loss 3.9277 (3.9070) Prec@1 21.484 (21.814) Prec@5 41.797 (44.207)
Epoch: [2][640/5005] Time 0.208 (0.223) Data 0.056 (0.067) Loss 3.8233 (3.9061) Prec@1 19.922 (21.816) Prec@5 48.047 (44.231)
Epoch: [2][650/5005] Time 0.221 (0.223) Data 0.047 (0.066) Loss 3.9740 (3.9064) Prec@1 21.875 (21.822) Prec@5 45.703 (44.228)
Epoch: [2][660/5005] Time 0.211 (0.223) Data 0.050 (0.066) Loss 3.9657 (3.9055) Prec@1 18.750 (21.828) Prec@5 41.406 (44.248)
Epoch: [2][670/5005] Time 0.217 (0.223) Data 0.048 (0.066) Loss 4.1002 (3.9054) Prec@1 19.531 (21.844) Prec@5 43.750 (44.260)
Epoch: [2][680/5005] Time 0.216 (0.223) Data 0.044 (0.066) Loss 3.9500 (3.9061) Prec@1 17.188 (21.827) Prec@5 44.141 (44.244)
Epoch: [2][690/5005] Time 0.212 (0.223) Data 0.042 (0.065) Loss 3.8262 (3.9054) Prec@1 21.094 (21.826) Prec@5 42.578 (44.240)
Epoch: [2][700/5005] Time 0.216 (0.223) Data 0.043 (0.065) Loss 3.9050 (3.9049) Prec@1 23.047 (21.826) Prec@5 42.188 (44.245)
Epoch: [2][710/5005] Time 0.216 (0.222) Data 0.042 (0.065) Loss 3.7484 (3.9047) Prec@1 24.219 (21.839) Prec@5 45.312 (44.254)
Epoch: [2][720/5005] Time 0.213 (0.222) Data 0.045 (0.065) Loss 3.7595 (3.9040) Prec@1 23.047 (21.842) Prec@5 44.141 (44.268)
Epoch: [2][730/5005] Time 0.212 (0.222) Data 0.049 (0.064) Loss 4.0390 (3.9049) Prec@1 19.531 (21.823) Prec@5 43.750 (44.260)
Epoch: [2][740/5005] Time 0.216 (0.222) Data 0.046 (0.064) Loss 3.9941 (3.9042) Prec@1 20.703 (21.841) Prec@5 44.922 (44.286)
Epoch: [2][750/5005] Time 0.213 (0.222) Data 0.044 (0.064) Loss 3.9137 (3.9037) Prec@1 22.266 (21.855) Prec@5 46.484 (44.306)
Epoch: [2][760/5005] Time 0.200 (0.222) Data 0.044 (0.063) Loss 3.9442 (3.9039) Prec@1 19.922 (21.846) Prec@5 44.922 (44.306)
Epoch: [2][770/5005] Time 0.218 (0.221) Data 0.044 (0.063) Loss 3.9249 (3.9025) Prec@1 19.531 (21.866) Prec@5 38.672 (44.338)
Epoch: [2][780/5005] Time 0.217 (0.221) Data 0.045 (0.063) Loss 3.9224 (3.9018) Prec@1 20.703 (21.883) Prec@5 43.750 (44.354)
Epoch: [2][790/5005] Time 0.214 (0.221) Data 0.040 (0.063) Loss 3.8988 (3.9009) Prec@1 21.875 (21.896) Prec@5 40.625 (44.380)
Epoch: [2][800/5005] Time 0.201 (0.221) Data 0.047 (0.063) Loss 3.6806 (3.8999) Prec@1 26.562 (21.917) Prec@5 46.875 (44.402)
Epoch: [2][810/5005] Time 0.242 (0.221) Data 0.155 (0.063) Loss 3.9095 (3.9000) Prec@1 22.656 (21.919) Prec@5 44.531 (44.409)
Epoch: [2][820/5005] Time 0.202 (0.221) Data 0.047 (0.064) Loss 4.1074 (3.9005) Prec@1 21.875 (21.912) Prec@5 41.797 (44.399)
Epoch: [2][830/5005] Time 0.205 (0.221) Data 0.042 (0.064) Loss 3.8590 (3.9005) Prec@1 21.875 (21.905) Prec@5 44.141 (44.397)
Epoch: [2][840/5005] Time 0.330 (0.222) Data 0.244 (0.065) Loss 3.7389 (3.9004) Prec@1 22.266 (21.895) Prec@5 43.359 (44.400)
Epoch: [2][850/5005] Time 0.204 (0.222) Data 0.061 (0.065) Loss 4.0368 (3.8994) Prec@1 21.094 (21.914) Prec@5 41.797 (44.424)
Epoch: [2][860/5005] Time 0.205 (0.222) Data 0.047 (0.065) Loss 3.9763 (3.8991) Prec@1 21.875 (21.926) Prec@5 41.797 (44.432)
Epoch: [2][870/5005] Time 0.197 (0.222) Data 0.063 (0.065) Loss 4.0207 (3.8983) Prec@1 19.531 (21.941) Prec@5 42.578 (44.442)
Epoch: [2][880/5005] Time 0.200 (0.222) Data 0.044 (0.065) Loss 3.8510 (3.8987) Prec@1 21.875 (21.948) Prec@5 47.266 (44.448)
Epoch: [2][890/5005] Time 0.407 (0.222) Data 0.319 (0.066) Loss 4.1226 (3.8987) Prec@1 20.312 (21.952) Prec@5 41.406 (44.437)
Epoch: [2][900/5005] Time 0.206 (0.222) Data 0.058 (0.066) Loss 3.7416 (3.8982) Prec@1 24.219 (21.946) Prec@5 45.312 (44.443)
Epoch: [2][910/5005] Time 0.200 (0.222) Data 0.043 (0.066) Loss 3.8372 (3.8976) Prec@1 25.781 (21.961) Prec@5 43.750 (44.451)
Epoch: [2][920/5005] Time 0.200 (0.222) Data 0.049 (0.066) Loss 3.7139 (3.8964) Prec@1 20.312 (21.980) Prec@5 49.219 (44.472)
Epoch: [2][930/5005] Time 0.312 (0.223) Data 0.232 (0.067) Loss 3.7653 (3.8957) Prec@1 25.000 (21.991) Prec@5 46.484 (44.485)
Epoch: [2][940/5005] Time 0.199 (0.224) Data 0.040 (0.069) Loss 3.7688 (3.8956) Prec@1 23.047 (21.996) Prec@5 44.141 (44.495)
Epoch: [2][950/5005] Time 0.214 (0.225) Data 0.053 (0.069) Loss 3.9410 (3.8955) Prec@1 22.266 (22.002) Prec@5 42.578 (44.498)
Epoch: [2][960/5005] Time 0.328 (0.224) Data 0.246 (0.069) Loss 4.1054 (3.8955) Prec@1 20.312 (21.996) Prec@5 41.016 (44.501)
Epoch: [2][970/5005] Time 0.491 (0.225) Data 0.415 (0.070) Loss 3.7419 (3.8955) Prec@1 23.438 (21.990) Prec@5 46.875 (44.493)
Epoch: [2][980/5005] Time 0.201 (0.225) Data 0.077 (0.070) Loss 3.7310 (3.8948) Prec@1 24.219 (22.005) Prec@5 50.000 (44.507)
Epoch: [2][990/5005] Time 0.217 (0.225) Data 0.042 (0.070) Loss 3.8787 (3.8944) Prec@1 22.656 (22.001) Prec@5 42.578 (44.510)
Epoch: [2][1000/5005] Time 0.207 (0.225) Data 0.045 (0.070) Loss 3.8566 (3.8938) Prec@1 21.484 (22.013) Prec@5 44.141 (44.521)
Epoch: [2][1010/5005] Time 0.208 (0.225) Data 0.042 (0.070) Loss 3.8887 (3.8930) Prec@1 22.266 (22.023) Prec@5 44.141 (44.533)
Epoch: [2][1020/5005] Time 0.211 (0.225) Data 0.042 (0.070) Loss 3.7481 (3.8930) Prec@1 25.000 (22.026) Prec@5 49.609 (44.540)
Epoch: [2][1030/5005] Time 0.204 (0.224) Data 0.041 (0.069) Loss 3.8747 (3.8922) Prec@1 23.047 (22.042) Prec@5 46.484 (44.554)
Epoch: [2][1040/5005] Time 0.198 (0.224) Data 0.043 (0.069) Loss 4.0698 (3.8922) Prec@1 20.312 (22.040) Prec@5 42.969 (44.556)
Epoch: [2][1050/5005] Time 0.216 (0.224) Data 0.041 (0.069) Loss 4.0632 (3.8926) Prec@1 23.047 (22.040) Prec@5 42.188 (44.549)
Epoch: [2][1060/5005] Time 0.207 (0.224) Data 0.049 (0.069) Loss 4.0753 (3.8931) Prec@1 17.969 (22.024) Prec@5 39.844 (44.539)
Epoch: [2][1070/5005] Time 0.214 (0.224) Data 0.053 (0.068) Loss 3.7819 (3.8927) Prec@1 26.172 (22.028) Prec@5 45.703 (44.544)
Epoch: [2][1080/5005] Time 0.218 (0.224) Data 0.057 (0.068) Loss 3.9060 (3.8924) Prec@1 22.266 (22.034) Prec@5 45.312 (44.549)
Epoch: [2][1090/5005] Time 0.208 (0.224) Data 0.054 (0.068) Loss 3.6268 (3.8916) Prec@1 25.000 (22.034) Prec@5 48.047 (44.569)
Epoch: [2][1100/5005] Time 0.204 (0.223) Data 0.044 (0.068) Loss 3.7472 (3.8906) Prec@1 23.438 (22.051) Prec@5 53.125 (44.595)
Epoch: [2][1110/5005] Time 0.212 (0.223) Data 0.050 (0.068) Loss 3.8498 (3.8904) Prec@1 19.141 (22.050) Prec@5 45.312 (44.597)
Epoch: [2][1120/5005] Time 0.200 (0.223) Data 0.058 (0.068) Loss 3.7417 (3.8892) Prec@1 23.438 (22.056) Prec@5 50.000 (44.615)
Epoch: [2][1130/5005] Time 0.215 (0.223) Data 0.043 (0.067) Loss 3.7454 (3.8895) Prec@1 25.000 (22.055) Prec@5 46.484 (44.603)
Epoch: [2][1140/5005] Time 0.209 (0.223) Data 0.044 (0.067) Loss 3.8787 (3.8887) Prec@1 22.656 (22.068) Prec@5 47.266 (44.612)
Epoch: [2][1150/5005] Time 0.213 (0.223) Data 0.047 (0.067) Loss 3.7319 (3.8880) Prec@1 23.438 (22.076) Prec@5 42.969 (44.623)
Epoch: [2][1160/5005] Time 0.208 (0.223) Data 0.043 (0.067) Loss 3.8329 (3.8881) Prec@1 23.047 (22.082) Prec@5 44.531 (44.623)
Epoch: [2][1170/5005] Time 0.210 (0.223) Data 0.043 (0.067) Loss 3.8240 (3.8874) Prec@1 23.438 (22.090) Prec@5 48.828 (44.631)
Epoch: [2][1180/5005] Time 0.206 (0.222) Data 0.043 (0.066) Loss 3.9380 (3.8870) Prec@1 21.484 (22.093) Prec@5 43.750 (44.637)
Epoch: [2][1190/5005] Time 0.207 (0.222) Data 0.079 (0.066) Loss 3.6109 (3.8867) Prec@1 26.172 (22.101) Prec@5 50.391 (44.642)
Epoch: [2][1200/5005] Time 0.206 (0.222) Data 0.047 (0.066) Loss 3.8604 (3.8864) Prec@1 21.094 (22.101) Prec@5 46.484 (44.646)
Epoch: [2][1210/5005] Time 0.206 (0.222) Data 0.043 (0.066) Loss 3.8448 (3.8866) Prec@1 21.875 (22.094) Prec@5 44.531 (44.646)
Epoch: [2][1220/5005] Time 0.364 (0.222) Data 0.278 (0.067) Loss 3.8139 (3.8865) Prec@1 24.219 (22.097) Prec@5 41.406 (44.644)
Epoch: [2][1230/5005] Time 0.192 (0.222) Data 0.091 (0.067) Loss 3.8240 (3.8860) Prec@1 23.828 (22.104) Prec@5 48.438 (44.647)
Epoch: [2][1240/5005] Time 0.217 (0.222) Data 0.047 (0.067) Loss 3.9495 (3.8859) Prec@1 23.047 (22.106) Prec@5 44.141 (44.652)
Epoch: [2][1250/5005] Time 0.192 (0.222) Data 0.059 (0.067) Loss 4.1556 (3.8862) Prec@1 19.922 (22.096) Prec@5 42.578 (44.647)
Epoch: [2][1260/5005] Time 0.201 (0.222) Data 0.046 (0.067) Loss 3.4888 (3.8851) Prec@1 24.609 (22.101) Prec@5 51.172 (44.668)
Epoch: [2][1270/5005] Time 0.197 (0.223) Data 0.054 (0.068) Loss 3.8468 (3.8853) Prec@1 24.219 (22.096) Prec@5 41.016 (44.661)
Epoch: [2][1280/5005] Time 0.210 (0.223) Data 0.049 (0.067) Loss 3.8033 (3.8854) Prec@1 23.828 (22.095) Prec@5 47.266 (44.651)
Epoch: [2][1290/5005] Time 0.216 (0.222) Data 0.040 (0.067) Loss 3.6695 (3.8854) Prec@1 27.344 (22.100) Prec@5 47.656 (44.650)
Epoch: [2][1300/5005] Time 0.194 (0.222) Data 0.104 (0.068) Loss 3.7001 (3.8849) Prec@1 25.781 (22.112) Prec@5 48.828 (44.657)
Epoch: [2][1310/5005] Time 0.198 (0.223) Data 0.050 (0.068) Loss 3.9180 (3.8843) Prec@1 17.578 (22.109) Prec@5 41.406 (44.669)
Epoch: [2][1320/5005] Time 0.192 (0.223) Data 0.060 (0.068) Loss 3.8329 (3.8840) Prec@1 21.875 (22.111) Prec@5 45.312 (44.684)
Epoch: [2][1330/5005] Time 0.220 (0.222) Data 0.133 (0.068) Loss 3.9641 (3.8842) Prec@1 19.141 (22.102) Prec@5 42.578 (44.676)
Epoch: [2][1340/5005] Time 0.206 (0.223) Data 0.040 (0.069) Loss 3.6879 (3.8836) Prec@1 25.391 (22.112) Prec@5 48.438 (44.687)
Epoch: [2][1350/5005] Time 0.211 (0.223) Data 0.046 (0.068) Loss 4.0853 (3.8837) Prec@1 21.484 (22.112) Prec@5 40.625 (44.687)
Epoch: [2][1360/5005] Time 0.200 (0.222) Data 0.050 (0.068) Loss 3.7794 (3.8835) Prec@1 20.312 (22.111) Prec@5 47.656 (44.695)
Epoch: [2][1370/5005] Time 0.194 (0.222) Data 0.104 (0.069) Loss 3.9064 (3.8828) Prec@1 21.875 (22.123) Prec@5 45.703 (44.709)
Epoch: [2][1380/5005] Time 0.200 (0.223) Data 0.106 (0.069) Loss 3.8254 (3.8822) Prec@1 23.828 (22.126) Prec@5 44.531 (44.720)
Epoch: [2][1390/5005] Time 0.209 (0.223) Data 0.046 (0.069) Loss 3.8750 (3.8821) Prec@1 21.875 (22.132) Prec@5 45.703 (44.726)
Epoch: [2][1400/5005] Time 0.258 (0.223) Data 0.174 (0.069) Loss 3.8775 (3.8812) Prec@1 23.438 (22.138) Prec@5 42.969 (44.733)
Epoch: [2][1410/5005] Time 0.208 (0.223) Data 0.042 (0.069) Loss 3.7708 (3.8803) Prec@1 26.172 (22.158) Prec@5 49.219 (44.755)
Epoch: [2][1420/5005] Time 0.197 (0.223) Data 0.045 (0.069) Loss 4.0361 (3.8801) Prec@1 22.656 (22.163) Prec@5 44.531 (44.757)
Epoch: [2][1430/5005] Time 0.188 (0.223) Data 0.068 (0.070) Loss 3.5371 (3.8794) Prec@1 27.734 (22.172) Prec@5 52.344 (44.769)
Epoch: [2][1440/5005] Time 0.209 (0.223) Data 0.046 (0.069) Loss 3.8432 (3.8792) Prec@1 23.047 (22.180) Prec@5 46.094 (44.773)
Epoch: [2][1450/5005] Time 0.211 (0.223) Data 0.042 (0.069) Loss 3.7899 (3.8790) Prec@1 21.484 (22.180) Prec@5 48.828 (44.780)
Epoch: [2][1460/5005] Time 0.204 (0.223) Data 0.065 (0.069) Loss 3.7764 (3.8787) Prec@1 25.000 (22.185) Prec@5 43.750 (44.783)
Epoch: [2][1470/5005] Time 0.197 (0.223) Data 0.051 (0.070) Loss 3.8625 (3.8786) Prec@1 20.703 (22.190) Prec@5 44.141 (44.789)
Epoch: [2][1480/5005] Time 0.204 (0.223) Data 0.044 (0.070) Loss 3.6839 (3.8784) Prec@1 25.781 (22.195) Prec@5 43.750 (44.789)
Epoch: [2][1490/5005] Time 0.192 (0.223) Data 0.052 (0.070) Loss 4.0181 (3.8778) Prec@1 19.531 (22.206) Prec@5 42.969 (44.813)
Epoch: [2][1500/5005] Time 0.199 (0.223) Data 0.050 (0.070) Loss 3.8426 (3.8775) Prec@1 24.219 (22.214) Prec@5 43.750 (44.817)
Epoch: [2][1510/5005] Time 0.204 (0.223) Data 0.042 (0.070) Loss 3.6217 (3.8767) Prec@1 22.266 (22.221) Prec@5 48.828 (44.831)
Epoch: [2][1520/5005] Time 0.195 (0.223) Data 0.058 (0.070) Loss 3.9596 (3.8762) Prec@1 21.484 (22.229) Prec@5 45.312 (44.842)
Epoch: [2][1530/5005] Time 0.202 (0.223) Data 0.045 (0.070) Loss 4.1340 (3.8762) Prec@1 19.141 (22.236) Prec@5 42.578 (44.843)
Epoch: [2][1540/5005] Time 0.200 (0.223) Data 0.042 (0.070) Loss 3.9959 (3.8765) Prec@1 18.750 (22.228) Prec@5 42.969 (44.836)
Epoch: [2][1550/5005] Time 0.213 (0.223) Data 0.040 (0.070) Loss 3.7747 (3.8760) Prec@1 26.172 (22.233) Prec@5 48.438 (44.843)
Epoch: [2][1560/5005] Time 0.201 (0.223) Data 0.051 (0.070) Loss 3.6420 (3.8758) Prec@1 26.953 (22.224) Prec@5 50.000 (44.851)
Epoch: [2][1570/5005] Time 0.516 (0.223) Data 0.434 (0.071) Loss 3.7072 (3.8754) Prec@1 20.703 (22.228) Prec@5 48.828 (44.855)
Epoch: [2][1580/5005] Time 0.201 (0.223) Data 0.050 (0.071) Loss 3.8916 (3.8757) Prec@1 20.703 (22.228) Prec@5 45.703 (44.852)
Epoch: [2][1590/5005] Time 0.200 (0.224) Data 0.060 (0.072) Loss 3.8411 (3.8752) Prec@1 24.609 (22.236) Prec@5 47.266 (44.859)
Epoch: [2][1600/5005] Time 0.238 (0.224) Data 0.160 (0.072) Loss 3.8120 (3.8748) Prec@1 23.047 (22.239) Prec@5 46.094 (44.869)
Epoch: [2][1610/5005] Time 0.205 (0.224) Data 0.040 (0.072) Loss 3.7938 (3.8745) Prec@1 23.438 (22.248) Prec@5 45.312 (44.878)
Epoch: [2][1620/5005] Time 0.205 (0.224) Data 0.047 (0.072) Loss 3.9619 (3.8743) Prec@1 20.312 (22.249) Prec@5 46.875 (44.874)
Epoch: [2][1630/5005] Time 0.210 (0.224) Data 0.047 (0.072) Loss 3.7259 (3.8740) Prec@1 24.219 (22.261) Prec@5 47.266 (44.881)
Epoch: [2][1640/5005] Time 0.198 (0.224) Data 0.059 (0.072) Loss 3.8461 (3.8739) Prec@1 22.266 (22.270) Prec@5 47.656 (44.890)
Epoch: [2][1650/5005] Time 0.201 (0.223) Data 0.046 (0.072) Loss 3.9257 (3.8736) Prec@1 26.562 (22.280) Prec@5 44.922 (44.893)
Epoch: [2][1660/5005] Time 0.203 (0.223) Data 0.048 (0.072) Loss 3.6926 (3.8727) Prec@1 24.609 (22.286) Prec@5 48.047 (44.908)
Epoch: [2][1670/5005] Time 0.275 (0.224) Data 0.185 (0.072) Loss 3.6524 (3.8726) Prec@1 23.828 (22.285) Prec@5 48.047 (44.911)
Epoch: [2][1680/5005] Time 0.208 (0.223) Data 0.043 (0.072) Loss 4.0066 (3.8727) Prec@1 24.609 (22.288) Prec@5 41.406 (44.909)
Epoch: [2][1690/5005] Time 0.196 (0.223) Data 0.042 (0.072) Loss 3.5511 (3.8719) Prec@1 27.344 (22.296) Prec@5 53.906 (44.921)
Epoch: [2][1700/5005] Time 0.264 (0.224) Data 0.181 (0.072) Loss 3.6661 (3.8712) Prec@1 21.875 (22.306) Prec@5 46.094 (44.932)
Epoch: [2][1710/5005] Time 0.198 (0.224) Data 0.067 (0.072) Loss 3.5655 (3.8702) Prec@1 24.609 (22.314) Prec@5 51.562 (44.951)
Epoch: [2][1720/5005] Time 0.226 (0.224) Data 0.143 (0.072) Loss 3.7439 (3.8699) Prec@1 21.094 (22.307) Prec@5 49.219 (44.957)
Epoch: [2][1730/5005] Time 0.201 (0.224) Data 0.043 (0.072) Loss 3.6505 (3.8696) Prec@1 21.875 (22.302) Prec@5 49.219 (44.969)
Epoch: [2][1740/5005] Time 0.424 (0.224) Data 0.341 (0.073) Loss 3.9331 (3.8692) Prec@1 19.141 (22.300) Prec@5 43.750 (44.978)
Epoch: [2][1750/5005] Time 0.197 (0.224) Data 0.038 (0.073) Loss 3.7577 (3.8685) Prec@1 23.828 (22.306) Prec@5 44.531 (44.991)
Epoch: [2][1760/5005] Time 0.193 (0.224) Data 0.046 (0.073) Loss 3.5495 (3.8681) Prec@1 26.562 (22.309) Prec@5 47.266 (44.996)
Epoch: [2][1770/5005] Time 0.202 (0.224) Data 0.045 (0.073) Loss 3.9126 (3.8674) Prec@1 21.875 (22.320) Prec@5 43.359 (45.009)
Epoch: [2][1780/5005] Time 0.202 (0.224) Data 0.050 (0.073) Loss 3.6730 (3.8670) Prec@1 25.000 (22.331) Prec@5 48.828 (45.013)
Epoch: [2][1790/5005] Time 0.201 (0.224) Data 0.052 (0.073) Loss 3.5355 (3.8663) Prec@1 26.562 (22.341) Prec@5 51.172 (45.031)
Epoch: [2][1800/5005] Time 0.395 (0.224) Data 0.305 (0.073) Loss 3.7178 (3.8659) Prec@1 23.438 (22.343) Prec@5 49.219 (45.040)
Epoch: [2][1810/5005] Time 0.197 (0.224) Data 0.046 (0.073) Loss 3.7738 (3.8657) Prec@1 25.391 (22.349) Prec@5 44.922 (45.037)
Epoch: [2][1820/5005] Time 0.212 (0.224) Data 0.045 (0.073) Loss 3.7790 (3.8651) Prec@1 22.656 (22.357) Prec@5 44.531 (45.049)
Epoch: [2][1830/5005] Time 0.204 (0.224) Data 0.052 (0.073) Loss 3.6267 (3.8646) Prec@1 25.781 (22.359) Prec@5 48.438 (45.059)
Epoch: [2][1840/5005] Time 0.214 (0.224) Data 0.047 (0.073) Loss 4.0704 (3.8642) Prec@1 19.922 (22.366) Prec@5 42.969 (45.068)
Epoch: [2][1850/5005] Time 0.219 (0.224) Data 0.043 (0.073) Loss 3.9968 (3.8641) Prec@1 21.875 (22.365) Prec@5 42.969 (45.069)
Epoch: [2][1860/5005] Time 0.193 (0.224) Data 0.046 (0.073) Loss 3.6846 (3.8638) Prec@1 23.828 (22.360) Prec@5 45.703 (45.071)
Epoch: [2][1870/5005] Time 0.215 (0.224) Data 0.044 (0.073) Loss 3.9150 (3.8640) Prec@1 22.656 (22.358) Prec@5 47.266 (45.068)
Epoch: [2][1880/5005] Time 0.210 (0.224) Data 0.046 (0.074) Loss 3.7203 (3.8639) Prec@1 24.219 (22.359) Prec@5 47.266 (45.070)
Epoch: [2][1890/5005] Time 0.201 (0.224) Data 0.061 (0.074) Loss 3.8908 (3.8635) Prec@1 23.828 (22.361) Prec@5 44.531 (45.078)
Epoch: [2][1900/5005] Time 0.214 (0.224) Data 0.047 (0.074) Loss 3.7692 (3.8637) Prec@1 22.266 (22.362) Prec@5 44.922 (45.075)
Epoch: [2][1910/5005] Time 0.202 (0.224) Data 0.044 (0.074) Loss 3.9378 (3.8637) Prec@1 18.750 (22.365) Prec@5 45.312 (45.078)
Epoch: [2][1920/5005] Time 0.368 (0.224) Data 0.289 (0.074) Loss 3.9054 (3.8633) Prec@1 21.094 (22.366) Prec@5 42.578 (45.083)
Epoch: [2][1930/5005] Time 0.197 (0.224) Data 0.043 (0.074) Loss 3.6981 (3.8631) Prec@1 26.172 (22.373) Prec@5 49.609 (45.088)
Epoch: [2][1940/5005] Time 0.201 (0.224) Data 0.045 (0.074) Loss 3.6014 (3.8627) Prec@1 26.953 (22.371) Prec@5 49.609 (45.093)
Epoch: [2][1950/5005] Time 0.388 (0.224) Data 0.302 (0.074) Loss 3.8805 (3.8625) Prec@1 21.094 (22.377) Prec@5 43.359 (45.098)
Epoch: [2][1960/5005] Time 0.202 (0.224) Data 0.040 (0.074) Loss 3.7902 (3.8620) Prec@1 23.047 (22.383) Prec@5 43.750 (45.110)
Epoch: [2][1970/5005] Time 0.198 (0.224) Data 0.045 (0.074) Loss 3.8510 (3.8621) Prec@1 21.875 (22.384) Prec@5 43.750 (45.105)
Epoch: [2][1980/5005] Time 0.197 (0.224) Data 0.117 (0.074) Loss 3.6165 (3.8620) Prec@1 28.516 (22.388) Prec@5 51.172 (45.104)
Epoch: [2][1990/5005] Time 0.201 (0.224) Data 0.046 (0.075) Loss 3.5060 (3.8615) Prec@1 25.000 (22.389) Prec@5 50.391 (45.109)
Epoch: [2][2000/5005] Time 0.209 (0.224) Data 0.123 (0.075) Loss 3.6403 (3.8615) Prec@1 26.953 (22.392) Prec@5 51.172 (45.108)
Epoch: [2][2010/5005] Time 0.201 (0.224) Data 0.041 (0.075) Loss 3.7840 (3.8615) Prec@1 21.094 (22.391) Prec@5 46.484 (45.105)
Epoch: [2][2020/5005] Time 0.208 (0.224) Data 0.044 (0.074) Loss 3.6786 (3.8613) Prec@1 26.172 (22.394) Prec@5 48.047 (45.112)
Epoch: [2][2030/5005] Time 0.444 (0.224) Data 0.357 (0.075) Loss 3.6598 (3.8612) Prec@1 21.094 (22.397) Prec@5 49.219 (45.117)
Epoch: [2][2040/5005] Time 0.204 (0.224) Data 0.063 (0.075) Loss 3.7224 (3.8607) Prec@1 23.828 (22.397) Prec@5 51.562 (45.120)
Epoch: [2][2050/5005] Time 0.202 (0.224) Data 0.060 (0.075) Loss 3.9576 (3.8605) Prec@1 22.656 (22.403) Prec@5 44.922 (45.119)
Epoch: [2][2060/5005] Time 0.180 (0.224) Data 0.103 (0.075) Loss 3.7240 (3.8600) Prec@1 22.656 (22.408) Prec@5 45.312 (45.128)
Epoch: [2][2070/5005] Time 0.498 (0.224) Data 0.410 (0.075) Loss 3.8891 (3.8598) Prec@1 18.750 (22.413) Prec@5 41.406 (45.135)
Epoch: [2][2080/5005] Time 0.313 (0.224) Data 0.229 (0.075) Loss 3.9515 (3.8597) Prec@1 19.922 (22.414) Prec@5 44.531 (45.132)
Epoch: [2][2090/5005] Time 0.208 (0.224) Data 0.042 (0.075) Loss 3.7043 (3.8590) Prec@1 27.344 (22.424) Prec@5 48.828 (45.148)
Epoch: [2][2100/5005] Time 0.208 (0.224) Data 0.049 (0.075) Loss 3.7866 (3.8587) Prec@1 22.266 (22.426) Prec@5 46.484 (45.156)
Epoch: [2][2110/5005] Time 0.212 (0.224) Data 0.051 (0.075) Loss 3.7418 (3.8586) Prec@1 28.906 (22.433) Prec@5 46.484 (45.157)
Epoch: [2][2120/5005] Time 0.207 (0.224) Data 0.047 (0.075) Loss 3.9132 (3.8584) Prec@1 20.703 (22.436) Prec@5 44.531 (45.166)
Epoch: [2][2130/5005] Time 1.342 (0.225) Data 1.258 (0.076) Loss 3.8675 (3.8581) Prec@1 22.266 (22.444) Prec@5 46.484 (45.172)
Epoch: [2][2140/5005] Time 0.190 (0.225) Data 0.052 (0.076) Loss 3.7353 (3.8580) Prec@1 21.875 (22.444) Prec@5 46.875 (45.172)
Epoch: [2][2150/5005] Time 0.198 (0.225) Data 0.049 (0.076) Loss 3.7756 (3.8577) Prec@1 26.172 (22.448) Prec@5 47.266 (45.176)
Epoch: [2][2160/5005] Time 0.206 (0.225) Data 0.043 (0.076) Loss 3.6578 (3.8576) Prec@1 27.734 (22.449) Prec@5 46.484 (45.176)
Epoch: [2][2170/5005] Time 0.211 (0.225) Data 0.042 (0.076) Loss 3.7786 (3.8571) Prec@1 26.562 (22.453) Prec@5 47.656 (45.182)
Epoch: [2][2180/5005] Time 0.507 (0.225) Data 0.422 (0.076) Loss 3.9316 (3.8571) Prec@1 23.438 (22.455) Prec@5 44.141 (45.181)
Epoch: [2][2190/5005] Time 0.191 (0.225) Data 0.056 (0.076) Loss 4.0406 (3.8568) Prec@1 20.703 (22.459) Prec@5 44.531 (45.187)
Epoch: [2][2200/5005] Time 0.207 (0.225) Data 0.042 (0.076) Loss 3.8774 (3.8565) Prec@1 23.047 (22.462) Prec@5 42.578 (45.189)
Epoch: [2][2210/5005] Time 0.202 (0.225) Data 0.041 (0.076) Loss 3.9896 (3.8567) Prec@1 21.484 (22.463) Prec@5 43.359 (45.195)
Epoch: [2][2220/5005] Time 0.196 (0.224) Data 0.052 (0.076) Loss 3.8846 (3.8563) Prec@1 22.266 (22.468) Prec@5 44.141 (45.203)
Epoch: [2][2230/5005] Time 0.192 (0.225) Data 0.043 (0.076) Loss 3.8467 (3.8560) Prec@1 21.875 (22.470) Prec@5 44.922 (45.208)
Epoch: [2][2240/5005] Time 0.203 (0.225) Data 0.042 (0.076) Loss 3.6812 (3.8558) Prec@1 24.219 (22.475) Prec@5 48.828 (45.212)
Epoch: [2][2250/5005] Time 0.202 (0.225) Data 0.041 (0.076) Loss 3.5972 (3.8552) Prec@1 26.953 (22.486) Prec@5 50.781 (45.218)
Epoch: [2][2260/5005] Time 0.201 (0.225) Data 0.040 (0.076) Loss 3.6047 (3.8545) Prec@1 25.781 (22.491) Prec@5 48.047 (45.227)
Epoch: [2][2270/5005] Time 0.201 (0.225) Data 0.052 (0.076) Loss 3.8827 (3.8540) Prec@1 26.562 (22.505) Prec@5 43.359 (45.235)
Epoch: [2][2280/5005] Time 0.198 (0.224) Data 0.090 (0.076) Loss 3.6501 (3.8536) Prec@1 19.922 (22.506) Prec@5 46.875 (45.240)
Epoch: [2][2290/5005] Time 0.201 (0.224) Data 0.045 (0.076) Loss 3.5526 (3.8532) Prec@1 27.344 (22.520) Prec@5 51.562 (45.243)
Epoch: [2][2300/5005] Time 0.198 (0.225) Data 0.043 (0.076) Loss 3.6873 (3.8528) Prec@1 24.219 (22.525) Prec@5 49.219 (45.249)
Epoch: [2][2310/5005] Time 0.201 (0.225) Data 0.050 (0.077) Loss 3.6049 (3.8523) Prec@1 25.391 (22.533) Prec@5 45.703 (45.256)
Epoch: [2][2320/5005] Time 0.205 (0.225) Data 0.044 (0.077) Loss 3.9383 (3.8522) Prec@1 19.922 (22.530) Prec@5 45.703 (45.260)
Epoch: [2][2330/5005] Time 0.197 (0.225) Data 0.046 (0.077) Loss 3.6751 (3.8519) Prec@1 23.828 (22.536) Prec@5 48.438 (45.270)
Epoch: [2][2340/5005] Time 0.197 (0.225) Data 0.048 (0.077) Loss 3.8274 (3.8515) Prec@1 21.484 (22.543) Prec@5 49.219 (45.282)
Epoch: [2][2350/5005] Time 0.204 (0.225) Data 0.115 (0.077) Loss 3.8732 (3.8513) Prec@1 23.828 (22.543) Prec@5 43.359 (45.284)
Epoch: [2][2360/5005] Time 0.207 (0.225) Data 0.046 (0.077) Loss 3.4579 (3.8509) Prec@1 28.906 (22.550) Prec@5 51.953 (45.290)
Epoch: [2][2370/5005] Time 0.191 (0.225) Data 0.048 (0.077) Loss 3.7814 (3.8506) Prec@1 24.219 (22.556) Prec@5 46.875 (45.298)
Epoch: [2][2380/5005] Time 0.197 (0.225) Data 0.053 (0.077) Loss 3.8650 (3.8504) Prec@1 22.656 (22.561) Prec@5 48.047 (45.302)
Epoch: [2][2390/5005] Time 0.398 (0.225) Data 0.311 (0.077) Loss 3.8039 (3.8499) Prec@1 20.703 (22.566) Prec@5 44.531 (45.313)
Epoch: [2][2400/5005] Time 0.310 (0.225) Data 0.217 (0.077) Loss 3.7070 (3.8497) Prec@1 23.828 (22.565) Prec@5 47.656 (45.315)
Epoch: [2][2410/5005] Time 0.200 (0.225) Data 0.063 (0.077) Loss 3.7545 (3.8495) Prec@1 23.828 (22.571) Prec@5 46.484 (45.320)
Epoch: [2][2420/5005] Time 0.204 (0.225) Data 0.050 (0.077) Loss 3.8856 (3.8492) Prec@1 21.094 (22.574) Prec@5 46.875 (45.328)
Epoch: [2][2430/5005] Time 0.205 (0.225) Data 0.081 (0.077) Loss 3.6143 (3.8488) Prec@1 28.125 (22.581) Prec@5 48.438 (45.335)
Epoch: [2][2440/5005] Time 0.210 (0.225) Data 0.045 (0.077) Loss 3.5948 (3.8485) Prec@1 25.781 (22.587) Prec@5 48.438 (45.341)
Epoch: [2][2450/5005] Time 0.199 (0.225) Data 0.064 (0.077) Loss 3.7957 (3.8481) Prec@1 23.047 (22.595) Prec@5 44.922 (45.348)
Epoch: [2][2460/5005] Time 0.218 (0.225) Data 0.047 (0.077) Loss 3.7664 (3.8478) Prec@1 22.266 (22.600) Prec@5 46.484 (45.355)
Epoch: [2][2470/5005] Time 0.356 (0.225) Data 0.276 (0.077) Loss 3.8051 (3.8475) Prec@1 25.000 (22.604) Prec@5 46.484 (45.362)
Epoch: [2][2480/5005] Time 0.193 (0.225) Data 0.087 (0.077) Loss 3.9634 (3.8474) Prec@1 22.266 (22.604) Prec@5 42.578 (45.365)
Epoch: [2][2490/5005] Time 0.196 (0.225) Data 0.050 (0.077) Loss 3.6299 (3.8471) Prec@1 22.266 (22.603) Prec@5 45.703 (45.371)
Epoch: [2][2500/5005] Time 0.196 (0.225) Data 0.052 (0.077) Loss 3.7352 (3.8466) Prec@1 23.438 (22.608) Prec@5 48.047 (45.379)
Epoch: [2][2510/5005] Time 0.211 (0.225) Data 0.043 (0.077) Loss 3.8059 (3.8464) Prec@1 23.828 (22.611) Prec@5 44.141 (45.378)
Epoch: [2][2520/5005] Time 0.193 (0.225) Data 0.051 (0.077) Loss 3.7196 (3.8461) Prec@1 24.219 (22.620) Prec@5 48.828 (45.384)
Epoch: [2][2530/5005] Time 0.196 (0.225) Data 0.048 (0.077) Loss 3.8796 (3.8458) Prec@1 19.531 (22.623) Prec@5 44.922 (45.389)
Epoch: [2][2540/5005] Time 0.217 (0.225) Data 0.050 (0.077) Loss 3.6480 (3.8455) Prec@1 26.562 (22.631) Prec@5 52.344 (45.399)
Epoch: [2][2550/5005] Time 0.197 (0.225) Data 0.087 (0.077) Loss 3.8109 (3.8452) Prec@1 22.266 (22.639) Prec@5 46.484 (45.402)
Epoch: [2][2560/5005] Time 0.228 (0.225) Data 0.143 (0.077) Loss 4.0208 (3.8451) Prec@1 19.922 (22.639) Prec@5 40.234 (45.401)
Epoch: [2][2570/5005] Time 0.196 (0.225) Data 0.048 (0.077) Loss 3.7704 (3.8450) Prec@1 23.047 (22.642) Prec@5 48.438 (45.406)
Epoch: [2][2580/5005] Time 0.201 (0.225) Data 0.056 (0.077) Loss 3.8009 (3.8450) Prec@1 21.875 (22.642) Prec@5 47.656 (45.408)
Epoch: [2][2590/5005] Time 0.204 (0.225) Data 0.050 (0.077) Loss 3.9327 (3.8446) Prec@1 21.484 (22.650) Prec@5 47.656 (45.417)
Epoch: [2][2600/5005] Time 0.193 (0.225) Data 0.059 (0.077) Loss 3.8839 (3.8445) Prec@1 22.266 (22.654) Prec@5 44.531 (45.419)
Epoch: [2][2610/5005] Time 0.200 (0.225) Data 0.044 (0.077) Loss 3.9167 (3.8440) Prec@1 21.875 (22.658) Prec@5 44.922 (45.428)
Epoch: [2][2620/5005] Time 0.204 (0.225) Data 0.044 (0.077) Loss 3.7247 (3.8438) Prec@1 22.656 (22.660) Prec@5 45.312 (45.433)
Epoch: [2][2630/5005] Time 0.379 (0.225) Data 0.293 (0.077) Loss 3.8277 (3.8438) Prec@1 21.094 (22.658) Prec@5 44.922 (45.435)
Epoch: [2][2640/5005] Time 0.316 (0.225) Data 0.232 (0.078) Loss 3.8620 (3.8436) Prec@1 24.219 (22.661) Prec@5 44.531 (45.436)
Epoch: [2][2650/5005] Time 0.197 (0.225) Data 0.062 (0.078) Loss 3.9615 (3.8435) Prec@1 21.484 (22.663) Prec@5 43.750 (45.439)
Epoch: [2][2660/5005] Time 0.191 (0.225) Data 0.046 (0.078) Loss 3.9836 (3.8435) Prec@1 17.969 (22.663) Prec@5 41.406 (45.441)
Epoch: [2][2670/5005] Time 0.221 (0.225) Data 0.138 (0.078) Loss 3.4282 (3.8431) Prec@1 26.172 (22.670) Prec@5 51.953 (45.448)
Epoch: [2][2680/5005] Time 0.197 (0.225) Data 0.045 (0.078) Loss 3.7270 (3.8430) Prec@1 25.391 (22.666) Prec@5 50.000 (45.448)
Epoch: [2][2690/5005] Time 0.201 (0.225) Data 0.040 (0.078) Loss 3.5510 (3.8427) Prec@1 28.516 (22.669) Prec@5 51.562 (45.453)
Epoch: [2][2700/5005] Time 0.204 (0.225) Data 0.040 (0.078) Loss 3.7460 (3.8426) Prec@1 21.875 (22.671) Prec@5 46.094 (45.454)
Epoch: [2][2710/5005] Time 0.200 (0.225) Data 0.043 (0.078) Loss 3.5228 (3.8422) Prec@1 26.562 (22.673) Prec@5 50.000 (45.456)
Epoch: [2][2720/5005] Time 0.209 (0.225) Data 0.040 (0.078) Loss 3.7406 (3.8420) Prec@1 23.438 (22.672) Prec@5 50.781 (45.460)
Epoch: [2][2730/5005] Time 0.207 (0.225) Data 0.040 (0.078) Loss 3.9848 (3.8417) Prec@1 21.875 (22.680) Prec@5 41.016 (45.467)
Epoch: [2][2740/5005] Time 0.197 (0.225) Data 0.047 (0.078) Loss 3.5560 (3.8413) Prec@1 21.875 (22.680) Prec@5 50.000 (45.474)
Epoch: [2][2750/5005] Time 0.384 (0.225) Data 0.297 (0.078) Loss 3.6749 (3.8409) Prec@1 24.609 (22.685) Prec@5 51.562 (45.484)
Epoch: [2][2760/5005] Time 0.202 (0.225) Data 0.044 (0.078) Loss 3.7137 (3.8404) Prec@1 24.609 (22.691) Prec@5 47.656 (45.492)
Epoch: [2][2770/5005] Time 0.204 (0.225) Data 0.048 (0.078) Loss 3.6468 (3.8403) Prec@1 23.047 (22.695) Prec@5 47.266 (45.492)
Epoch: [2][2780/5005] Time 0.190 (0.225) Data 0.047 (0.078) Loss 3.9334 (3.8400) Prec@1 19.531 (22.701) Prec@5 44.922 (45.500)
Epoch: [2][2790/5005] Time 0.202 (0.225) Data 0.056 (0.078) Loss 4.1867 (3.8399) Prec@1 17.578 (22.701) Prec@5 35.156 (45.500)
Epoch: [2][2800/5005] Time 0.205 (0.225) Data 0.050 (0.078) Loss 3.4778 (3.8395) Prec@1 26.953 (22.709) Prec@5 53.516 (45.505)
Epoch: [2][2810/5005] Time 0.203 (0.225) Data 0.042 (0.078) Loss 3.8971 (3.8392) Prec@1 23.828 (22.715) Prec@5 44.141 (45.513)
Epoch: [2][2820/5005] Time 0.211 (0.225) Data 0.124 (0.078) Loss 3.3668 (3.8388) Prec@1 33.203 (22.720) Prec@5 51.953 (45.517)
Epoch: [2][2830/5005] Time 0.238 (0.225) Data 0.150 (0.078) Loss 4.0468 (3.8387) Prec@1 17.969 (22.721) Prec@5 42.578 (45.520)
Epoch: [2][2840/5005] Time 0.203 (0.225) Data 0.050 (0.078) Loss 3.9100 (3.8385) Prec@1 20.703 (22.724) Prec@5 42.188 (45.522)
Epoch: [2][2850/5005] Time 0.208 (0.225) Data 0.046 (0.078) Loss 3.6862 (3.8382) Prec@1 25.781 (22.732) Prec@5 44.141 (45.525)
Epoch: [2][2860/5005] Time 0.199 (0.225) Data 0.052 (0.078) Loss 3.7079 (3.8381) Prec@1 25.000 (22.734) Prec@5 46.094 (45.525)
Epoch: [2][2870/5005] Time 0.186 (0.225) Data 0.106 (0.078) Loss 3.7097 (3.8377) Prec@1 25.391 (22.738) Prec@5 47.656 (45.535)
Epoch: [2][2880/5005] Time 0.198 (0.225) Data 0.050 (0.078) Loss 3.6975 (3.8376) Prec@1 20.312 (22.739) Prec@5 48.438 (45.537)
Epoch: [2][2890/5005] Time 0.624 (0.225) Data 0.538 (0.079) Loss 3.7142 (3.8372) Prec@1 23.438 (22.748) Prec@5 50.000 (45.547)
Epoch: [2][2900/5005] Time 0.199 (0.225) Data 0.046 (0.078) Loss 3.5326 (3.8367) Prec@1 28.125 (22.752) Prec@5 52.734 (45.558)
Epoch: [2][2910/5005] Time 0.213 (0.225) Data 0.041 (0.078) Loss 3.6983 (3.8365) Prec@1 24.609 (22.757) Prec@5 48.047 (45.563)
Epoch: [2][2920/5005] Time 0.213 (0.225) Data 0.042 (0.078) Loss 3.9129 (3.8363) Prec@1 17.188 (22.763) Prec@5 43.750 (45.567)
Epoch: [2][2930/5005] Time 0.189 (0.225) Data 0.063 (0.078) Loss 4.2066 (3.8362) Prec@1 20.312 (22.769) Prec@5 37.500 (45.570)
Epoch: [2][2940/5005] Time 0.207 (0.225) Data 0.048 (0.078) Loss 3.7711 (3.8359) Prec@1 21.875 (22.772) Prec@5 45.703 (45.575)
Epoch: [2][2950/5005] Time 0.278 (0.225) Data 0.194 (0.079) Loss 4.1531 (3.8356) Prec@1 20.703 (22.776) Prec@5 41.406 (45.581)
Epoch: [2][2960/5005] Time 0.195 (0.225) Data 0.049 (0.079) Loss 3.9086 (3.8354) Prec@1 25.000 (22.782) Prec@5 44.531 (45.585)
Epoch: [2][2970/5005] Time 0.199 (0.225) Data 0.045 (0.079) Loss 3.9406 (3.8351) Prec@1 17.188 (22.782) Prec@5 40.625 (45.590)
Epoch: [2][2980/5005] Time 0.207 (0.225) Data 0.045 (0.079) Loss 3.7714 (3.8349) Prec@1 23.828 (22.782) Prec@5 47.266 (45.592)
Epoch: [2][2990/5005] Time 0.204 (0.225) Data 0.044 (0.079) Loss 3.7243 (3.8348) Prec@1 26.172 (22.784) Prec@5 45.703 (45.593)
Epoch: [2][3000/5005] Time 0.203 (0.225) Data 0.046 (0.079) Loss 3.8383 (3.8344) Prec@1 22.266 (22.788) Prec@5 46.484 (45.599)
Epoch: [2][3010/5005] Time 0.201 (0.225) Data 0.092 (0.079) Loss 3.7261 (3.8343) Prec@1 25.781 (22.791) Prec@5 48.828 (45.603)
Epoch: [2][3020/5005] Time 0.212 (0.225) Data 0.039 (0.079) Loss 3.5777 (3.8342) Prec@1 22.656 (22.794) Prec@5 46.875 (45.606)
Epoch: [2][3030/5005] Time 0.207 (0.225) Data 0.042 (0.079) Loss 3.7604 (3.8339) Prec@1 26.953 (22.799) Prec@5 47.266 (45.612)
Epoch: [2][3040/5005] Time 0.200 (0.225) Data 0.043 (0.078) Loss 3.6215 (3.8337) Prec@1 26.953 (22.808) Prec@5 51.953 (45.619)
Epoch: [2][3050/5005] Time 0.205 (0.225) Data 0.039 (0.078) Loss 3.7802 (3.8335) Prec@1 18.359 (22.807) Prec@5 44.922 (45.623)
Epoch: [2][3060/5005] Time 0.214 (0.225) Data 0.044 (0.078) Loss 3.6307 (3.8330) Prec@1 26.562 (22.810) Prec@5 51.172 (45.629)
Epoch: [2][3070/5005] Time 0.206 (0.225) Data 0.046 (0.078) Loss 4.0279 (3.8331) Prec@1 18.359 (22.807) Prec@5 43.359 (45.629)
Epoch: [2][3080/5005] Time 0.207 (0.225) Data 0.045 (0.078) Loss 3.5478 (3.8329) Prec@1 24.609 (22.809) Prec@5 46.875 (45.631)
Epoch: [2][3090/5005] Time 0.211 (0.225) Data 0.053 (0.078) Loss 4.1305 (3.8327) Prec@1 19.141 (22.809) Prec@5 39.844 (45.630)
Epoch: [2][3100/5005] Time 0.215 (0.225) Data 0.046 (0.078) Loss 3.6444 (3.8324) Prec@1 29.688 (22.811) Prec@5 48.828 (45.636)
Epoch: [2][3110/5005] Time 0.192 (0.225) Data 0.046 (0.078) Loss 3.5355 (3.8320) Prec@1 24.609 (22.815) Prec@5 50.391 (45.643)
Epoch: [2][3120/5005] Time 0.197 (0.225) Data 0.047 (0.078) Loss 3.9161 (3.8317) Prec@1 19.141 (22.818) Prec@5 43.359 (45.648)
Epoch: [2][3130/5005] Time 0.364 (0.225) Data 0.284 (0.078) Loss 3.8155 (3.8313) Prec@1 21.484 (22.824) Prec@5 41.406 (45.653)
Epoch: [2][3140/5005] Time 0.202 (0.225) Data 0.048 (0.078) Loss 3.7030 (3.8309) Prec@1 26.172 (22.833) Prec@5 47.656 (45.662)
Epoch: [2][3150/5005] Time 0.202 (0.225) Data 0.067 (0.078) Loss 3.7495 (3.8305) Prec@1 24.219 (22.844) Prec@5 45.312 (45.670)
Epoch: [2][3160/5005] Time 0.211 (0.225) Data 0.047 (0.078) Loss 3.6503 (3.8303) Prec@1 28.516 (22.850) Prec@5 48.047 (45.678)
Epoch: [2][3170/5005] Time 0.762 (0.225) Data 0.673 (0.079) Loss 3.8809 (3.8300) Prec@1 22.266 (22.854) Prec@5 47.266 (45.681)
Epoch: [2][3180/5005] Time 0.207 (0.225) Data 0.043 (0.079) Loss 3.5643 (3.8298) Prec@1 26.953 (22.856) Prec@5 51.562 (45.684)
Epoch: [2][3190/5005] Time 0.215 (0.225) Data 0.045 (0.078) Loss 3.6570 (3.8298) Prec@1 26.562 (22.857) Prec@5 48.047 (45.685)
Epoch: [2][3200/5005] Time 0.205 (0.225) Data 0.045 (0.078) Loss 3.8669 (3.8295) Prec@1 23.438 (22.861) Prec@5 46.484 (45.689)
Epoch: [2][3210/5005] Time 0.457 (0.225) Data 0.372 (0.079) Loss 3.8170 (3.8293) Prec@1 23.047 (22.866) Prec@5 44.141 (45.698)
Epoch: [2][3220/5005] Time 0.198 (0.225) Data 0.047 (0.078) Loss 3.7783 (3.8289) Prec@1 26.953 (22.877) Prec@5 46.094 (45.704)
Epoch: [2][3230/5005] Time 0.195 (0.225) Data 0.043 (0.078) Loss 3.6274 (3.8286) Prec@1 25.781 (22.880) Prec@5 46.484 (45.709)
Epoch: [2][3240/5005] Time 0.200 (0.225) Data 0.052 (0.078) Loss 3.9891 (3.8286) Prec@1 20.703 (22.877) Prec@5 40.625 (45.708)
Epoch: [2][3250/5005] Time 0.693 (0.225) Data 0.607 (0.078) Loss 3.7781 (3.8285) Prec@1 21.875 (22.879) Prec@5 47.656 (45.712)
Epoch: [2][3260/5005] Time 0.205 (0.225) Data 0.046 (0.078) Loss 3.6818 (3.8283) Prec@1 21.875 (22.883) Prec@5 46.484 (45.715)
Epoch: [2][3270/5005] Time 0.196 (0.225) Data 0.042 (0.078) Loss 3.8778 (3.8281) Prec@1 26.562 (22.885) Prec@5 42.578 (45.719)
Epoch: [2][3280/5005] Time 0.195 (0.225) Data 0.053 (0.078) Loss 3.7568 (3.8281) Prec@1 23.438 (22.884) Prec@5 46.484 (45.718)
Epoch: [2][3290/5005] Time 0.207 (0.225) Data 0.047 (0.078) Loss 3.8172 (3.8279) Prec@1 23.828 (22.889) Prec@5 43.750 (45.723)
Epoch: [2][3300/5005] Time 0.205 (0.225) Data 0.040 (0.078) Loss 3.7743 (3.8276) Prec@1 22.266 (22.894) Prec@5 48.828 (45.725)
Epoch: [2][3310/5005] Time 0.205 (0.225) Data 0.041 (0.078) Loss 3.6797 (3.8275) Prec@1 26.172 (22.895) Prec@5 45.703 (45.727)
Epoch: [2][3320/5005] Time 0.204 (0.225) Data 0.043 (0.078) Loss 3.8952 (3.8273) Prec@1 25.000 (22.897) Prec@5 44.922 (45.728)
Epoch: [2][3330/5005] Time 0.473 (0.225) Data 0.385 (0.078) Loss 3.7306 (3.8270) Prec@1 25.000 (22.903) Prec@5 46.094 (45.735)
Epoch: [2][3340/5005] Time 0.207 (0.225) Data 0.040 (0.078) Loss 3.6691 (3.8267) Prec@1 25.781 (22.908) Prec@5 48.828 (45.738)
Epoch: [2][3350/5005] Time 0.205 (0.225) Data 0.045 (0.078) Loss 3.9295 (3.8267) Prec@1 25.000 (22.911) Prec@5 42.969 (45.739)
Epoch: [2][3360/5005] Time 0.197 (0.225) Data 0.064 (0.078) Loss 3.8153 (3.8266) Prec@1 25.000 (22.913) Prec@5 47.656 (45.741)
Epoch: [2][3370/5005] Time 0.193 (0.225) Data 0.100 (0.078) Loss 3.8087 (3.8263) Prec@1 22.656 (22.917) Prec@5 47.656 (45.746)
Epoch: [2][3380/5005] Time 0.194 (0.225) Data 0.109 (0.078) Loss 3.4785 (3.8258) Prec@1 24.219 (22.921) Prec@5 54.688 (45.752)
Epoch: [2][3390/5005] Time 0.211 (0.225) Data 0.047 (0.078) Loss 3.5932 (3.8257) Prec@1 28.125 (22.921) Prec@5 49.609 (45.755)
Epoch: [2][3400/5005] Time 0.197 (0.225) Data 0.047 (0.078) Loss 3.4980 (3.8256) Prec@1 25.000 (22.921) Prec@5 49.609 (45.757)
Epoch: [2][3410/5005] Time 0.197 (0.225) Data 0.043 (0.078) Loss 3.5311 (3.8253) Prec@1 28.906 (22.925) Prec@5 51.953 (45.762)
Epoch: [2][3420/5005] Time 0.212 (0.225) Data 0.049 (0.078) Loss 3.6890 (3.8250) Prec@1 25.000 (22.926) Prec@5 47.266 (45.767)
Epoch: [2][3430/5005] Time 0.195 (0.225) Data 0.057 (0.078) Loss 3.6894 (3.8249) Prec@1 27.344 (22.931) Prec@5 49.609 (45.771)
Epoch: [2][3440/5005] Time 0.203 (0.225) Data 0.065 (0.078) Loss 3.8434 (3.8246) Prec@1 25.000 (22.933) Prec@5 41.797 (45.776)
Epoch: [2][3450/5005] Time 0.200 (0.225) Data 0.043 (0.078) Loss 3.4528 (3.8242) Prec@1 27.734 (22.938) Prec@5 55.469 (45.784)
Epoch: [2][3460/5005] Time 0.189 (0.225) Data 0.047 (0.078) Loss 3.6648 (3.8240) Prec@1 28.516 (22.943) Prec@5 49.219 (45.786)
Epoch: [2][3470/5005] Time 0.203 (0.225) Data 0.088 (0.078) Loss 3.5768 (3.8237) Prec@1 26.953 (22.950) Prec@5 52.344 (45.793)
Epoch: [2][3480/5005] Time 0.191 (0.225) Data 0.046 (0.078) Loss 3.6614 (3.8232) Prec@1 23.438 (22.957) Prec@5 53.125 (45.805)
Epoch: [2][3490/5005] Time 0.205 (0.225) Data 0.051 (0.078) Loss 3.8814 (3.8231) Prec@1 21.094 (22.957) Prec@5 42.969 (45.806)
Epoch: [2][3500/5005] Time 0.200 (0.225) Data 0.048 (0.078) Loss 3.5801 (3.8230) Prec@1 25.781 (22.959) Prec@5 49.609 (45.807)
Epoch: [2][3510/5005] Time 0.199 (0.225) Data 0.043 (0.078) Loss 3.8191 (3.8228) Prec@1 25.781 (22.960) Prec@5 48.047 (45.815)
Epoch: [2][3520/5005] Time 0.203 (0.225) Data 0.046 (0.078) Loss 3.7394 (3.8225) Prec@1 25.781 (22.965) Prec@5 49.219 (45.820)
Epoch: [2][3530/5005] Time 0.200 (0.225) Data 0.041 (0.078) Loss 3.5739 (3.8221) Prec@1 26.562 (22.973) Prec@5 51.172 (45.829)
Epoch: [2][3540/5005] Time 0.199 (0.225) Data 0.052 (0.078) Loss 3.6822 (3.8217) Prec@1 21.875 (22.977) Prec@5 49.609 (45.838)
Epoch: [2][3550/5005] Time 0.206 (0.225) Data 0.044 (0.078) Loss 3.6604 (3.8214) Prec@1 23.438 (22.981) Prec@5 48.047 (45.844)
Epoch: [2][3560/5005] Time 0.193 (0.225) Data 0.056 (0.078) Loss 3.8015 (3.8210) Prec@1 23.828 (22.988) Prec@5 48.047 (45.852)
Epoch: [2][3570/5005] Time 0.198 (0.225) Data 0.060 (0.079) Loss 3.9159 (3.8208) Prec@1 21.875 (22.989) Prec@5 46.484 (45.858)
Epoch: [2][3580/5005] Time 0.199 (0.225) Data 0.042 (0.079) Loss 3.8591 (3.8207) Prec@1 25.000 (22.989) Prec@5 46.094 (45.860)
Epoch: [2][3590/5005] Time 0.338 (0.225) Data 0.251 (0.079) Loss 3.8254 (3.8203) Prec@1 26.172 (22.997) Prec@5 43.359 (45.866)
Epoch: [2][3600/5005] Time 0.195 (0.225) Data 0.054 (0.079) Loss 3.8749 (3.8202) Prec@1 22.656 (23.001) Prec@5 45.703 (45.867)
Epoch: [2][3610/5005] Time 0.202 (0.225) Data 0.048 (0.079) Loss 3.7430 (3.8200) Prec@1 27.344 (23.004) Prec@5 47.266 (45.870)
Epoch: [2][3620/5005] Time 0.204 (0.225) Data 0.047 (0.079) Loss 3.9041 (3.8196) Prec@1 19.922 (23.008) Prec@5 42.188 (45.876)
Epoch: [2][3630/5005] Time 0.200 (0.225) Data 0.048 (0.079) Loss 4.1597 (3.8193) Prec@1 20.312 (23.010) Prec@5 41.016 (45.880)
Epoch: [2][3640/5005] Time 0.205 (0.225) Data 0.043 (0.079) Loss 3.7489 (3.8189) Prec@1 23.047 (23.014) Prec@5 47.656 (45.887)
Epoch: [2][3650/5005] Time 0.220 (0.225) Data 0.132 (0.079) Loss 3.7016 (3.8189) Prec@1 27.344 (23.013) Prec@5 46.484 (45.887)
Epoch: [2][3660/5005] Time 0.207 (0.225) Data 0.042 (0.079) Loss 3.8381 (3.8186) Prec@1 22.656 (23.015) Prec@5 48.047 (45.892)
Epoch: [2][3670/5005] Time 0.201 (0.225) Data 0.040 (0.079) Loss 3.8115 (3.8183) Prec@1 23.828 (23.021) Prec@5 46.094 (45.899)
Epoch: [2][3680/5005] Time 0.423 (0.225) Data 0.337 (0.079) Loss 3.7609 (3.8183) Prec@1 21.484 (23.023) Prec@5 47.656 (45.898)
Epoch: [2][3690/5005] Time 0.191 (0.225) Data 0.048 (0.079) Loss 3.6677 (3.8180) Prec@1 23.438 (23.026) Prec@5 50.391 (45.905)
Epoch: [2][3700/5005] Time 0.194 (0.225) Data 0.058 (0.079) Loss 3.7200 (3.8177) Prec@1 23.438 (23.030) Prec@5 50.000 (45.908)
Epoch: [2][3710/5005] Time 0.191 (0.225) Data 0.094 (0.079) Loss 3.6382 (3.8176) Prec@1 28.516 (23.034) Prec@5 51.562 (45.912)
Epoch: [2][3720/5005] Time 0.195 (0.225) Data 0.062 (0.079) Loss 3.9023 (3.8173) Prec@1 19.922 (23.039) Prec@5 44.531 (45.917)
Epoch: [2][3730/5005] Time 0.213 (0.225) Data 0.043 (0.079) Loss 3.5136 (3.8169) Prec@1 28.906 (23.049) Prec@5 52.734 (45.926)
Epoch: [2][3740/5005] Time 0.399 (0.225) Data 0.318 (0.079) Loss 3.7311 (3.8163) Prec@1 24.219 (23.057) Prec@5 48.047 (45.938)
Epoch: [2][3750/5005] Time 0.204 (0.225) Data 0.044 (0.079) Loss 3.6838 (3.8162) Prec@1 25.781 (23.060) Prec@5 48.047 (45.943)
Epoch: [2][3760/5005] Time 0.198 (0.225) Data 0.059 (0.079) Loss 3.9329 (3.8161) Prec@1 20.312 (23.058) Prec@5 41.016 (45.943)
Epoch: [2][3770/5005] Time 0.193 (0.225) Data 0.044 (0.079) Loss 3.8233 (3.8159) Prec@1 24.609 (23.056) Prec@5 46.484 (45.947)
Epoch: [2][3780/5005] Time 0.200 (0.225) Data 0.044 (0.079) Loss 3.7986 (3.8157) Prec@1 25.781 (23.061) Prec@5 46.875 (45.955)
Epoch: [2][3790/5005] Time 0.189 (0.225) Data 0.048 (0.078) Loss 3.8538 (3.8156) Prec@1 24.219 (23.060) Prec@5 44.531 (45.956)
Epoch: [2][3800/5005] Time 0.210 (0.225) Data 0.049 (0.078) Loss 3.6016 (3.8155) Prec@1 25.781 (23.062) Prec@5 48.047 (45.958)
Epoch: [2][3810/5005] Time 0.210 (0.225) Data 0.047 (0.079) Loss 3.7028 (3.8153) Prec@1 26.172 (23.066) Prec@5 51.562 (45.963)
Epoch: [2][3820/5005] Time 0.203 (0.225) Data 0.044 (0.079) Loss 3.5634 (3.8150) Prec@1 25.391 (23.071) Prec@5 52.734 (45.973)
Epoch: [2][3830/5005] Time 0.211 (0.225) Data 0.045 (0.078) Loss 3.9033 (3.8147) Prec@1 19.531 (23.073) Prec@5 41.797 (45.979)
Epoch: [2][3840/5005] Time 0.215 (0.225) Data 0.045 (0.078) Loss 4.1337 (3.8146) Prec@1 16.016 (23.074) Prec@5 41.797 (45.985)
Epoch: [2][3850/5005] Time 0.214 (0.225) Data 0.043 (0.078) Loss 3.7111 (3.8143) Prec@1 22.656 (23.075) Prec@5 46.484 (45.990)
Epoch: [2][3860/5005] Time 0.207 (0.225) Data 0.044 (0.078) Loss 3.6287 (3.8142) Prec@1 28.516 (23.079) Prec@5 52.344 (45.995)
Epoch: [2][3870/5005] Time 0.199 (0.225) Data 0.038 (0.078) Loss 3.8681 (3.8140) Prec@1 20.312 (23.079) Prec@5 44.531 (45.997)
Epoch: [2][3880/5005] Time 0.205 (0.225) Data 0.040 (0.078) Loss 3.6941 (3.8139) Prec@1 26.953 (23.083) Prec@5 47.656 (46.001)
Epoch: [2][3890/5005] Time 0.200 (0.225) Data 0.052 (0.078) Loss 3.9049 (3.8136) Prec@1 21.875 (23.088) Prec@5 44.531 (46.009)
Epoch: [2][3900/5005] Time 0.197 (0.225) Data 0.047 (0.078) Loss 4.1062 (3.8135) Prec@1 21.484 (23.090) Prec@5 37.109 (46.011)
Epoch: [2][3910/5005] Time 0.190 (0.225) Data 0.060 (0.078) Loss 3.7850 (3.8132) Prec@1 22.266 (23.093) Prec@5 44.141 (46.014)
Epoch: [2][3920/5005] Time 0.201 (0.225) Data 0.041 (0.078) Loss 3.7215 (3.8130) Prec@1 24.219 (23.097) Prec@5 44.531 (46.019)
Epoch: [2][3930/5005] Time 0.207 (0.225) Data 0.040 (0.078) Loss 3.5191 (3.8125) Prec@1 26.172 (23.103) Prec@5 50.000 (46.029)
Epoch: [2][3940/5005] Time 0.240 (0.225) Data 0.153 (0.078) Loss 3.6310 (3.8123) Prec@1 24.609 (23.106) Prec@5 51.172 (46.032)
Epoch: [2][3950/5005] Time 0.206 (0.225) Data 0.042 (0.078) Loss 3.6692 (3.8120) Prec@1 24.609 (23.111) Prec@5 46.875 (46.038)
Epoch: [2][3960/5005] Time 0.194 (0.225) Data 0.044 (0.078) Loss 3.3532 (3.8117) Prec@1 29.297 (23.115) Prec@5 54.297 (46.046)
Epoch: [2][3970/5005] Time 0.203 (0.225) Data 0.051 (0.078) Loss 3.7412 (3.8112) Prec@1 22.266 (23.119) Prec@5 51.172 (46.052)
Epoch: [2][3980/5005] Time 0.351 (0.225) Data 0.261 (0.078) Loss 3.5595 (3.8110) Prec@1 25.391 (23.121) Prec@5 50.391 (46.059)
Epoch: [2][3990/5005] Time 0.198 (0.225) Data 0.043 (0.078) Loss 3.9008 (3.8109) Prec@1 21.094 (23.119) Prec@5 45.703 (46.061)
Epoch: [2][4000/5005] Time 0.203 (0.225) Data 0.041 (0.078) Loss 3.6825 (3.8106) Prec@1 24.219 (23.121) Prec@5 48.828 (46.067)
Epoch: [2][4010/5005] Time 0.209 (0.225) Data 0.045 (0.078) Loss 4.0133 (3.8102) Prec@1 23.047 (23.127) Prec@5 46.094 (46.077)
Epoch: [2][4020/5005] Time 0.207 (0.225) Data 0.041 (0.078) Loss 3.7770 (3.8100) Prec@1 23.828 (23.128) Prec@5 48.828 (46.081)
Epoch: [2][4030/5005] Time 0.187 (0.225) Data 0.060 (0.078) Loss 3.9842 (3.8100) Prec@1 23.828 (23.132) Prec@5 42.969 (46.083)
Epoch: [2][4040/5005] Time 0.195 (0.225) Data 0.093 (0.078) Loss 3.7134 (3.8099) Prec@1 24.219 (23.134) Prec@5 46.484 (46.086)
Epoch: [2][4050/5005] Time 0.199 (0.225) Data 0.043 (0.078) Loss 3.8408 (3.8095) Prec@1 25.000 (23.140) Prec@5 40.625 (46.091)
Epoch: [2][4060/5005] Time 0.452 (0.225) Data 0.362 (0.078) Loss 3.6966 (3.8093) Prec@1 23.438 (23.143) Prec@5 45.312 (46.093)
Epoch: [2][4070/5005] Time 0.198 (0.225) Data 0.044 (0.078) Loss 3.7448 (3.8090) Prec@1 23.438 (23.145) Prec@5 48.438 (46.101)
Epoch: [2][4080/5005] Time 0.192 (0.225) Data 0.052 (0.078) Loss 3.5662 (3.8089) Prec@1 25.000 (23.148) Prec@5 52.344 (46.102)
Epoch: [2][4090/5005] Time 0.246 (0.225) Data 0.161 (0.078) Loss 3.8017 (3.8087) Prec@1 26.562 (23.152) Prec@5 46.484 (46.108)
Epoch: [2][4100/5005] Time 0.237 (0.225) Data 0.151 (0.078) Loss 3.6676 (3.8084) Prec@1 25.391 (23.156) Prec@5 48.828 (46.113)
Epoch: [2][4110/5005] Time 0.200 (0.225) Data 0.050 (0.078) Loss 4.0228 (3.8082) Prec@1 21.094 (23.159) Prec@5 44.141 (46.116)
Epoch: [2][4120/5005] Time 0.207 (0.225) Data 0.041 (0.078) Loss 3.7209 (3.8078) Prec@1 24.609 (23.168) Prec@5 46.484 (46.123)
Epoch: [2][4130/5005] Time 0.567 (0.225) Data 0.483 (0.078) Loss 4.0863 (3.8077) Prec@1 22.266 (23.170) Prec@5 43.750 (46.127)
Epoch: [2][4140/5005] Time 0.203 (0.225) Data 0.041 (0.078) Loss 3.7882 (3.8074) Prec@1 25.000 (23.174) Prec@5 49.609 (46.131)
Epoch: [2][4150/5005] Time 0.205 (0.225) Data 0.046 (0.078) Loss 3.9803 (3.8073) Prec@1 19.922 (23.174) Prec@5 44.531 (46.132)
Epoch: [2][4160/5005] Time 0.210 (0.225) Data 0.051 (0.078) Loss 3.6299 (3.8071) Prec@1 22.656 (23.177) Prec@5 49.609 (46.135)
Epoch: [2][4170/5005] Time 0.198 (0.225) Data 0.113 (0.078) Loss 3.5764 (3.8067) Prec@1 22.656 (23.180) Prec@5 52.344 (46.144)
Epoch: [2][4180/5005] Time 0.204 (0.225) Data 0.062 (0.078) Loss 3.6570 (3.8064) Prec@1 24.609 (23.183) Prec@5 49.609 (46.151)
Epoch: [2][4190/5005] Time 0.204 (0.225) Data 0.041 (0.078) Loss 3.8008 (3.8062) Prec@1 22.266 (23.185) Prec@5 44.141 (46.154)
Epoch: [2][4200/5005] Time 0.198 (0.225) Data 0.044 (0.078) Loss 3.4567 (3.8060) Prec@1 30.469 (23.191) Prec@5 51.172 (46.161)
Epoch: [2][4210/5005] Time 0.209 (0.225) Data 0.043 (0.078) Loss 3.6934 (3.8056) Prec@1 23.047 (23.196) Prec@5 46.484 (46.165)
Epoch: [2][4220/5005] Time 0.196 (0.225) Data 0.051 (0.078) Loss 3.8818 (3.8056) Prec@1 23.047 (23.197) Prec@5 42.969 (46.165)
Epoch: [2][4230/5005] Time 0.194 (0.225) Data 0.041 (0.079) Loss 3.7279 (3.8055) Prec@1 23.828 (23.201) Prec@5 48.828 (46.170)
Epoch: [2][4240/5005] Time 0.205 (0.225) Data 0.045 (0.079) Loss 3.5182 (3.8052) Prec@1 24.609 (23.203) Prec@5 53.125 (46.173)
Epoch: [2][4250/5005] Time 0.204 (0.225) Data 0.040 (0.079) Loss 3.6900 (3.8049) Prec@1 25.391 (23.211) Prec@5 47.656 (46.181)
Epoch: [2][4260/5005] Time 0.204 (0.225) Data 0.052 (0.079) Loss 3.7370 (3.8047) Prec@1 23.438 (23.214) Prec@5 48.047 (46.183)
Epoch: [2][4270/5005] Time 0.204 (0.225) Data 0.044 (0.079) Loss 3.9389 (3.8047) Prec@1 20.703 (23.215) Prec@5 45.312 (46.186)
Epoch: [2][4280/5005] Time 0.218 (0.225) Data 0.044 (0.079) Loss 3.7900 (3.8044) Prec@1 21.484 (23.216) Prec@5 44.922 (46.190)
Epoch: [2][4290/5005] Time 0.398 (0.225) Data 0.307 (0.079) Loss 3.8662 (3.8043) Prec@1 23.438 (23.219) Prec@5 44.141 (46.190)
Epoch: [2][4300/5005] Time 0.206 (0.225) Data 0.046 (0.079) Loss 3.5830 (3.8039) Prec@1 25.000 (23.222) Prec@5 47.266 (46.195)
Epoch: [2][4310/5005] Time 0.198 (0.225) Data 0.042 (0.079) Loss 3.5746 (3.8038) Prec@1 26.172 (23.226) Prec@5 50.000 (46.199)
Epoch: [2][4320/5005] Time 0.202 (0.225) Data 0.047 (0.079) Loss 3.5880 (3.8036) Prec@1 26.172 (23.231) Prec@5 48.828 (46.203)
Epoch: [2][4330/5005] Time 0.200 (0.225) Data 0.095 (0.079) Loss 3.6446 (3.8034) Prec@1 23.438 (23.237) Prec@5 47.266 (46.206)
Epoch: [2][4340/5005] Time 0.200 (0.225) Data 0.049 (0.079) Loss 3.7172 (3.8032) Prec@1 25.781 (23.239) Prec@5 46.094 (46.208)
Epoch: [2][4350/5005] Time 0.196 (0.225) Data 0.046 (0.079) Loss 3.7079 (3.8029) Prec@1 26.562 (23.244) Prec@5 44.922 (46.213)
Epoch: [2][4360/5005] Time 0.208 (0.225) Data 0.043 (0.079) Loss 3.7661 (3.8025) Prec@1 25.781 (23.248) Prec@5 45.312 (46.220)
Epoch: [2][4370/5005] Time 0.203 (0.225) Data 0.040 (0.079) Loss 3.6897 (3.8023) Prec@1 25.391 (23.252) Prec@5 50.781 (46.224)
Epoch: [2][4380/5005] Time 0.197 (0.225) Data 0.040 (0.079) Loss 3.7975 (3.8021) Prec@1 22.266 (23.253) Prec@5 46.875 (46.229)
Epoch: [2][4390/5005] Time 0.212 (0.225) Data 0.049 (0.079) Loss 3.8186 (3.8017) Prec@1 23.047 (23.259) Prec@5 42.188 (46.237)
Epoch: [2][4400/5005] Time 0.191 (0.225) Data 0.050 (0.079) Loss 3.6894 (3.8014) Prec@1 26.172 (23.263) Prec@5 45.703 (46.240)
Epoch: [2][4410/5005] Time 0.203 (0.225) Data 0.046 (0.079) Loss 3.6909 (3.8011) Prec@1 25.781 (23.266) Prec@5 48.438 (46.244)
Epoch: [2][4420/5005] Time 0.197 (0.225) Data 0.045 (0.079) Loss 3.3480 (3.8008) Prec@1 31.641 (23.268) Prec@5 54.297 (46.247)
Epoch: [2][4430/5005] Time 0.214 (0.225) Data 0.042 (0.079) Loss 3.5977 (3.8003) Prec@1 30.469 (23.276) Prec@5 48.438 (46.255)
Epoch: [2][4440/5005] Time 0.202 (0.225) Data 0.040 (0.079) Loss 3.8369 (3.8000) Prec@1 22.656 (23.279) Prec@5 45.703 (46.261)
Epoch: [2][4450/5005] Time 0.198 (0.225) Data 0.051 (0.079) Loss 3.4542 (3.7997) Prec@1 28.516 (23.282) Prec@5 51.172 (46.267)
Epoch: [2][4460/5005] Time 0.625 (0.225) Data 0.538 (0.079) Loss 3.7704 (3.7994) Prec@1 23.828 (23.288) Prec@5 50.391 (46.275)
Epoch: [2][4470/5005] Time 0.198 (0.225) Data 0.079 (0.079) Loss 3.6544 (3.7993) Prec@1 24.609 (23.291) Prec@5 49.219 (46.280)
Epoch: [2][4480/5005] Time 0.368 (0.225) Data 0.275 (0.079) Loss 3.4163 (3.7992) Prec@1 30.859 (23.297) Prec@5 53.125 (46.283)
Epoch: [2][4490/5005] Time 0.240 (0.225) Data 0.156 (0.079) Loss 3.8395 (3.7992) Prec@1 21.875 (23.297) Prec@5 43.750 (46.283)
Epoch: [2][4500/5005] Time 0.201 (0.225) Data 0.049 (0.079) Loss 3.6135 (3.7989) Prec@1 25.781 (23.300) Prec@5 50.000 (46.289)
Epoch: [2][4510/5005] Time 0.198 (0.225) Data 0.047 (0.079) Loss 3.7091 (3.7988) Prec@1 24.609 (23.301) Prec@5 48.438 (46.287)
Epoch: [2][4520/5005] Time 0.192 (0.225) Data 0.051 (0.079) Loss 3.5476 (3.7984) Prec@1 26.953 (23.307) Prec@5 54.688 (46.298)
Epoch: [2][4530/5005] Time 0.212 (0.225) Data 0.046 (0.079) Loss 3.6623 (3.7982) Prec@1 22.266 (23.309) Prec@5 48.047 (46.300)
Epoch: [2][4540/5005] Time 0.197 (0.225) Data 0.099 (0.079) Loss 3.8488 (3.7983) Prec@1 21.875 (23.306) Prec@5 45.703 (46.298)
Epoch: [2][4550/5005] Time 0.203 (0.225) Data 0.040 (0.079) Loss 3.8160 (3.7981) Prec@1 22.656 (23.308) Prec@5 45.312 (46.301)
Epoch: [2][4560/5005] Time 0.195 (0.225) Data 0.042 (0.079) Loss 3.5760 (3.7978) Prec@1 23.828 (23.312) Prec@5 47.266 (46.306)
Epoch: [2][4570/5005] Time 0.194 (0.225) Data 0.098 (0.079) Loss 3.7225 (3.7976) Prec@1 25.781 (23.316) Prec@5 45.703 (46.307)
Epoch: [2][4580/5005] Time 0.207 (0.225) Data 0.057 (0.079) Loss 3.9035 (3.7975) Prec@1 20.703 (23.319) Prec@5 43.359 (46.311)
Epoch: [2][4590/5005] Time 0.206 (0.225) Data 0.056 (0.079) Loss 3.6470 (3.7973) Prec@1 23.828 (23.320) Prec@5 48.047 (46.315)
Epoch: [2][4600/5005] Time 0.196 (0.225) Data 0.051 (0.079) Loss 3.4352 (3.7971) Prec@1 27.344 (23.323) Prec@5 55.078 (46.318)
Epoch: [2][4610/5005] Time 0.204 (0.225) Data 0.041 (0.079) Loss 3.4221 (3.7967) Prec@1 21.484 (23.328) Prec@5 51.172 (46.325)
Epoch: [2][4620/5005] Time 0.194 (0.225) Data 0.048 (0.079) Loss 3.5433 (3.7965) Prec@1 27.734 (23.332) Prec@5 49.609 (46.331)
Epoch: [2][4630/5005] Time 0.199 (0.225) Data 0.049 (0.079) Loss 3.4979 (3.7963) Prec@1 27.734 (23.332) Prec@5 48.438 (46.334)
Epoch: [2][4640/5005] Time 0.198 (0.225) Data 0.047 (0.079) Loss 3.6985 (3.7961) Prec@1 25.000 (23.334) Prec@5 45.312 (46.336)
Epoch: [2][4650/5005] Time 0.238 (0.225) Data 0.158 (0.079) Loss 3.6724 (3.7959) Prec@1 26.172 (23.338) Prec@5 48.438 (46.338)
Epoch: [2][4660/5005] Time 0.205 (0.225) Data 0.049 (0.079) Loss 3.8469 (3.7956) Prec@1 26.953 (23.341) Prec@5 42.578 (46.341)
Epoch: [2][4670/5005] Time 0.511 (0.225) Data 0.422 (0.079) Loss 3.5529 (3.7953) Prec@1 26.562 (23.345) Prec@5 50.391 (46.348)
Epoch: [2][4680/5005] Time 0.210 (0.225) Data 0.048 (0.079) Loss 3.7263 (3.7951) Prec@1 26.562 (23.350) Prec@5 48.828 (46.351)
Epoch: [2][4690/5005] Time 0.197 (0.225) Data 0.044 (0.079) Loss 3.9232 (3.7950) Prec@1 20.703 (23.352) Prec@5 42.578 (46.353)
Epoch: [2][4700/5005] Time 0.201 (0.225) Data 0.050 (0.079) Loss 3.6004 (3.7947) Prec@1 28.516 (23.355) Prec@5 48.828 (46.359)
Epoch: [2][4710/5005] Time 0.204 (0.225) Data 0.047 (0.079) Loss 3.5964 (3.7943) Prec@1 28.516 (23.363) Prec@5 51.562 (46.367)
Epoch: [2][4720/5005] Time 0.203 (0.225) Data 0.054 (0.079) Loss 3.5901 (3.7941) Prec@1 26.953 (23.366) Prec@5 51.953 (46.370)
Epoch: [2][4730/5005] Time 0.209 (0.225) Data 0.042 (0.079) Loss 3.7662 (3.7940) Prec@1 23.047 (23.367) Prec@5 46.875 (46.370)
Epoch: [2][4740/5005] Time 0.209 (0.225) Data 0.046 (0.079) Loss 3.6617 (3.7937) Prec@1 23.047 (23.371) Prec@5 49.219 (46.376)
Epoch: [2][4750/5005] Time 0.207 (0.225) Data 0.054 (0.079) Loss 3.7370 (3.7935) Prec@1 21.484 (23.374) Prec@5 44.922 (46.380)
Epoch: [2][4760/5005] Time 0.206 (0.225) Data 0.040 (0.079) Loss 3.9568 (3.7932) Prec@1 17.969 (23.376) Prec@5 42.188 (46.384)
Epoch: [2][4770/5005] Time 0.190 (0.225) Data 0.044 (0.079) Loss 3.6706 (3.7929) Prec@1 21.875 (23.378) Prec@5 48.828 (46.388)
Epoch: [2][4780/5005] Time 0.201 (0.225) Data 0.046 (0.079) Loss 3.8023 (3.7927) Prec@1 25.000 (23.381) Prec@5 45.703 (46.394)
Epoch: [2][4790/5005] Time 0.197 (0.225) Data 0.049 (0.079) Loss 3.7122 (3.7924) Prec@1 28.125 (23.387) Prec@5 49.219 (46.399)
Epoch: [2][4800/5005] Time 0.202 (0.225) Data 0.041 (0.079) Loss 3.7670 (3.7921) Prec@1 22.656 (23.389) Prec@5 45.703 (46.403)
Epoch: [2][4810/5005] Time 0.281 (0.225) Data 0.194 (0.079) Loss 3.8422 (3.7919) Prec@1 22.656 (23.391) Prec@5 43.750 (46.408)
Epoch: [2][4820/5005] Time 0.206 (0.225) Data 0.052 (0.079) Loss 3.8843 (3.7915) Prec@1 23.438 (23.396) Prec@5 45.703 (46.414)
Epoch: [2][4830/5005] Time 0.193 (0.225) Data 0.047 (0.079) Loss 3.5692 (3.7911) Prec@1 28.516 (23.403) Prec@5 52.734 (46.423)
Epoch: [2][4840/5005] Time 0.207 (0.225) Data 0.045 (0.079) Loss 3.5040 (3.7910) Prec@1 28.125 (23.404) Prec@5 52.344 (46.425)
Epoch: [2][4850/5005] Time 0.205 (0.225) Data 0.044 (0.079) Loss 3.9852 (3.7910) Prec@1 21.875 (23.406) Prec@5 40.234 (46.425)
Epoch: [2][4860/5005] Time 0.203 (0.225) Data 0.049 (0.079) Loss 3.7744 (3.7907) Prec@1 24.609 (23.409) Prec@5 48.438 (46.430)
Epoch: [2][4870/5005] Time 0.206 (0.225) Data 0.043 (0.079) Loss 3.6783 (3.7905) Prec@1 27.344 (23.414) Prec@5 50.781 (46.434)
Epoch: [2][4880/5005] Time 0.201 (0.225) Data 0.052 (0.079) Loss 3.4827 (3.7902) Prec@1 26.953 (23.420) Prec@5 51.953 (46.442)
Epoch: [2][4890/5005] Time 0.203 (0.225) Data 0.051 (0.080) Loss 3.4735 (3.7899) Prec@1 26.953 (23.424) Prec@5 53.125 (46.447)
Epoch: [2][4900/5005] Time 0.197 (0.225) Data 0.043 (0.080) Loss 3.4729 (3.7895) Prec@1 26.562 (23.431) Prec@5 54.297 (46.455)
Epoch: [2][4910/5005] Time 0.202 (0.225) Data 0.037 (0.080) Loss 3.7330 (3.7891) Prec@1 21.094 (23.434) Prec@5 45.703 (46.462)
Epoch: [2][4920/5005] Time 0.198 (0.225) Data 0.048 (0.080) Loss 3.6482 (3.7889) Prec@1 23.047 (23.437) Prec@5 45.703 (46.465)
Epoch: [2][4930/5005] Time 0.261 (0.225) Data 0.172 (0.080) Loss 3.6481 (3.7885) Prec@1 26.953 (23.442) Prec@5 47.656 (46.472)
Epoch: [2][4940/5005] Time 0.265 (0.225) Data 0.177 (0.080) Loss 3.5944 (3.7884) Prec@1 22.656 (23.444) Prec@5 45.312 (46.472)
Epoch: [2][4950/5005] Time 0.197 (0.225) Data 0.044 (0.080) Loss 3.5207 (3.7882) Prec@1 25.391 (23.448) Prec@5 50.391 (46.475)
Epoch: [2][4960/5005] Time 0.205 (0.225) Data 0.040 (0.080) Loss 4.0334 (3.7881) Prec@1 18.359 (23.449) Prec@5 42.578 (46.478)
Epoch: [2][4970/5005] Time 0.198 (0.225) Data 0.095 (0.080) Loss 3.7916 (3.7878) Prec@1 20.703 (23.451) Prec@5 45.703 (46.483)
Epoch: [2][4980/5005] Time 0.319 (0.225) Data 0.230 (0.080) Loss 3.7586 (3.7876) Prec@1 20.312 (23.453) Prec@5 48.047 (46.489)
Epoch: [2][4990/5005] Time 0.209 (0.225) Data 0.031 (0.080) Loss 3.7692 (3.7872) Prec@1 22.656 (23.457) Prec@5 44.141 (46.495)
Epoch: [2][5000/5005] Time 0.199 (0.225) Data 0.027 (0.080) Loss 3.7368 (3.7871) Prec@1 24.609 (23.460) Prec@5 47.266 (46.499)
Test: [0/196] Time 1.988 (1.988) Loss 4.0050 (4.0050) Prec@1 18.359 (18.359) Prec@5 44.531 (44.531)
Test: [10/196] Time 0.047 (0.365) Loss 4.0073 (4.0526) Prec@1 21.484 (19.886) Prec@5 45.312 (41.832)
Test: [20/196] Time 0.142 (0.294) Loss 4.0039 (4.0445) Prec@1 17.578 (20.145) Prec@5 41.016 (42.225)
Test: [30/196] Time 0.169 (0.265) Loss 3.9154 (4.0628) Prec@1 20.312 (20.073) Prec@5 43.750 (41.709)
Test: [40/196] Time 0.088 (0.262) Loss 3.8539 (4.0553) Prec@1 23.828 (20.398) Prec@5 45.703 (41.711)
Test: [50/196] Time 0.048 (0.260) Loss 3.9374 (4.0552) Prec@1 16.797 (20.443) Prec@5 47.656 (41.988)
Test: [60/196] Time 0.138 (0.246) Loss 3.9195 (4.0446) Prec@1 24.609 (20.575) Prec@5 46.875 (42.066)
Test: [70/196] Time 0.198 (0.245) Loss 4.1629 (4.0436) Prec@1 19.922 (20.527) Prec@5 37.500 (42.072)
Test: [80/196] Time 0.480 (0.244) Loss 3.7743 (4.0481) Prec@1 25.391 (20.520) Prec@5 49.219 (42.134)
Test: [90/196] Time 0.090 (0.241) Loss 4.0457 (4.0532) Prec@1 21.484 (20.433) Prec@5 42.188 (42.016)
Test: [100/196] Time 0.043 (0.237) Loss 4.0847 (4.0545) Prec@1 17.969 (20.533) Prec@5 43.359 (42.029)
Test: [110/196] Time 0.569 (0.238) Loss 4.3217 (4.0609) Prec@1 16.016 (20.457) Prec@5 36.328 (41.934)
Test: [120/196] Time 0.043 (0.232) Loss 3.8381 (4.0585) Prec@1 20.703 (20.532) Prec@5 49.219 (42.045)
Test: [130/196] Time 0.510 (0.234) Loss 3.7445 (4.0542) Prec@1 23.438 (20.584) Prec@5 48.438 (42.188)
Test: [140/196] Time 0.373 (0.235) Loss 3.9462 (4.0542) Prec@1 20.703 (20.526) Prec@5 45.312 (42.168)
Test: [150/196] Time 0.050 (0.234) Loss 3.9345 (4.0511) Prec@1 19.922 (20.620) Prec@5 48.828 (42.257)
Test: [160/196] Time 0.043 (0.232) Loss 3.9188 (4.0486) Prec@1 23.828 (20.691) Prec@5 45.703 (42.304)
Test: [170/196] Time 0.147 (0.232) Loss 3.8165 (4.0477) Prec@1 25.000 (20.673) Prec@5 44.922 (42.249)
Test: [180/196] Time 0.276 (0.233) Loss 4.1353 (4.0525) Prec@1 17.578 (20.660) Prec@5 42.969 (42.153)
Test: [190/196] Time 0.214 (0.231) Loss 4.2260 (4.0511) Prec@1 19.922 (20.689) Prec@5 37.891 (42.163)
* Prec@1 20.654 Prec@5 42.152
Learning rate: 0.001
Epoch: [3][0/5005] Time 2.238 (2.238) Data 2.129 (2.129) Loss 3.7558 (3.7558) Prec@1 22.656 (22.656) Prec@5 46.484 (46.484)
Epoch: [3][10/5005] Time 0.203 (0.387) Data 0.046 (0.238) Loss 3.6240 (3.6696) Prec@1 28.125 (24.609) Prec@5 52.344 (48.757)
Epoch: [3][20/5005] Time 0.199 (0.298) Data 0.048 (0.147) Loss 3.7741 (3.6808) Prec@1 24.609 (24.423) Prec@5 47.266 (48.605)
Epoch: [3][30/5005] Time 0.197 (0.266) Data 0.046 (0.115) Loss 3.7622 (3.6453) Prec@1 25.781 (24.937) Prec@5 47.266 (49.370)
Epoch: [3][40/5005] Time 0.196 (0.250) Data 0.048 (0.099) Loss 3.5893 (3.6569) Prec@1 28.125 (24.981) Prec@5 47.656 (48.942)
Epoch: [3][50/5005] Time 0.213 (0.241) Data 0.041 (0.088) Loss 3.6977 (3.6488) Prec@1 21.875 (25.260) Prec@5 46.875 (48.928)
Epoch: [3][60/5005] Time 0.201 (0.234) Data 0.051 (0.082) Loss 3.6280 (3.6524) Prec@1 19.922 (25.045) Prec@5 51.172 (48.867)
Epoch: [3][70/5005] Time 0.204 (0.229) Data 0.044 (0.077) Loss 3.4518 (3.6641) Prec@1 26.172 (24.873) Prec@5 50.391 (48.707)
Epoch: [3][80/5005] Time 0.200 (0.226) Data 0.042 (0.074) Loss 3.6168 (3.6659) Prec@1 25.000 (24.744) Prec@5 53.516 (48.635)
Epoch: [3][90/5005] Time 0.210 (0.234) Data 0.041 (0.071) Loss 3.7320 (3.6590) Prec@1 25.391 (24.897) Prec@5 48.828 (48.845)
Epoch: [3][100/5005] Time 0.210 (0.231) Data 0.042 (0.068) Loss 3.5604 (3.6589) Prec@1 26.953 (25.058) Prec@5 51.562 (48.867)
Epoch: [3][110/5005] Time 0.208 (0.228) Data 0.044 (0.066) Loss 3.7230 (3.6626) Prec@1 26.172 (25.187) Prec@5 47.656 (48.856)
Epoch: [3][120/5005] Time 0.214 (0.226) Data 0.041 (0.064) Loss 3.6168 (3.6631) Prec@1 29.688 (25.265) Prec@5 51.172 (48.857)
Epoch: [3][130/5005] Time 0.200 (0.224) Data 0.044 (0.062) Loss 3.6327 (3.6596) Prec@1 25.000 (25.325) Prec@5 48.047 (48.900)
Epoch: [3][140/5005] Time 0.200 (0.222) Data 0.043 (0.061) Loss 3.6609 (3.6572) Prec@1 24.219 (25.288) Prec@5 46.094 (48.872)
Epoch: [3][150/5005] Time 0.202 (0.223) Data 0.049 (0.063) Loss 3.8244 (3.6609) Prec@1 23.047 (25.254) Prec@5 44.922 (48.823)
Epoch: [3][160/5005] Time 0.227 (0.222) Data 0.144 (0.064) Loss 3.7023 (3.6633) Prec@1 23.047 (25.221) Prec@5 41.797 (48.758)
Epoch: [3][170/5005] Time 0.539 (0.225) Data 0.447 (0.070) Loss 3.8416 (3.6639) Prec@1 24.609 (25.260) Prec@5 44.141 (48.709)
Epoch: [3][180/5005] Time 0.207 (0.226) Data 0.093 (0.072) Loss 3.9564 (3.6659) Prec@1 21.875 (25.240) Prec@5 43.750 (48.651)
Epoch: [3][190/5005] Time 0.214 (0.226) Data 0.049 (0.073) Loss 3.8269 (3.6698) Prec@1 23.438 (25.162) Prec@5 45.703 (48.552)
Epoch: [3][200/5005] Time 0.211 (0.227) Data 0.045 (0.074) Loss 3.8436 (3.6698) Prec@1 20.703 (25.150) Prec@5 47.266 (48.583)
Epoch: [3][210/5005] Time 0.266 (0.228) Data 0.179 (0.076) Loss 3.4500 (3.6672) Prec@1 30.469 (25.194) Prec@5 52.734 (48.632)
Epoch: [3][220/5005] Time 0.214 (0.228) Data 0.049 (0.077) Loss 3.6834 (3.6662) Prec@1 23.828 (25.159) Prec@5 48.438 (48.662)
Epoch: [3][230/5005] Time 0.415 (0.228) Data 0.323 (0.077) Loss 3.6592 (3.6640) Prec@1 26.562 (25.218) Prec@5 49.219 (48.703)
Epoch: [3][240/5005] Time 0.213 (0.228) Data 0.040 (0.078) Loss 3.6500 (3.6651) Prec@1 28.125 (25.183) Prec@5 52.344 (48.726)
Epoch: [3][250/5005] Time 0.217 (0.229) Data 0.043 (0.078) Loss 3.9396 (3.6646) Prec@1 22.266 (25.173) Prec@5 41.016 (48.719)
Epoch: [3][260/5005] Time 0.209 (0.229) Data 0.045 (0.079) Loss 3.5179 (3.6621) Prec@1 24.609 (25.219) Prec@5 48.438 (48.776)
Epoch: [3][270/5005] Time 0.251 (0.229) Data 0.162 (0.078) Loss 3.6273 (3.6589) Prec@1 28.906 (25.265) Prec@5 47.656 (48.812)
Epoch: [3][280/5005] Time 0.355 (0.230) Data 0.268 (0.081) Loss 4.0383 (3.6613) Prec@1 20.703 (25.252) Prec@5 41.016 (48.802)
Epoch: [3][290/5005] Time 0.202 (0.230) Data 0.060 (0.082) Loss 3.4490 (3.6641) Prec@1 26.562 (25.185) Prec@5 51.562 (48.721)
Epoch: [3][300/5005] Time 0.203 (0.230) Data 0.110 (0.083) Loss 3.3647 (3.6637) Prec@1 28.516 (25.192) Prec@5 54.688 (48.736)
Epoch: [3][310/5005] Time 0.201 (0.230) Data 0.049 (0.083) Loss 3.5946 (3.6600) Prec@1 23.438 (25.246) Prec@5 49.219 (48.809)
Epoch: [3][320/5005] Time 0.781 (0.233) Data 0.703 (0.086) Loss 3.9187 (3.6606) Prec@1 20.312 (25.242) Prec@5 43.750 (48.800)
Epoch: [3][330/5005] Time 0.195 (0.233) Data 0.062 (0.087) Loss 3.2709 (3.6591) Prec@1 25.781 (25.228) Prec@5 55.078 (48.833)
Epoch: [3][340/5005] Time 0.213 (0.233) Data 0.045 (0.087) Loss 3.6478 (3.6615) Prec@1 23.828 (25.210) Prec@5 54.688 (48.808)
Epoch: [3][350/5005] Time 0.214 (0.233) Data 0.082 (0.086) Loss 3.8239 (3.6616) Prec@1 20.312 (25.191) Prec@5 47.266 (48.808)
Epoch: [3][360/5005] Time 0.207 (0.232) Data 0.043 (0.085) Loss 3.8117 (3.6605) Prec@1 21.875 (25.186) Prec@5 45.312 (48.832)
Epoch: [3][370/5005] Time 0.205 (0.231) Data 0.044 (0.084) Loss 3.7217 (3.6594) Prec@1 24.219 (25.198) Prec@5 45.703 (48.884)
Epoch: [3][380/5005] Time 0.215 (0.231) Data 0.049 (0.083) Loss 3.7775 (3.6599) Prec@1 26.953 (25.207) Prec@5 46.484 (48.861)
Epoch: [3][390/5005] Time 0.218 (0.230) Data 0.046 (0.083) Loss 3.5488 (3.6596) Prec@1 27.344 (25.205) Prec@5 51.953 (48.863)
Epoch: [3][400/5005] Time 0.210 (0.230) Data 0.050 (0.082) Loss 3.7002 (3.6587) Prec@1 21.094 (25.223) Prec@5 44.922 (48.879)
Epoch: [3][410/5005] Time 0.219 (0.230) Data 0.051 (0.081) Loss 3.5097 (3.6591) Prec@1 24.219 (25.220) Prec@5 51.172 (48.900)
Epoch: [3][420/5005] Time 0.224 (0.229) Data 0.042 (0.080) Loss 3.6062 (3.6578) Prec@1 26.953 (25.242) Prec@5 51.172 (48.946)
Epoch: [3][430/5005] Time 0.205 (0.229) Data 0.042 (0.079) Loss 3.5493 (3.6584) Prec@1 29.297 (25.237) Prec@5 51.953 (48.945)
Epoch: [3][440/5005] Time 0.218 (0.229) Data 0.045 (0.078) Loss 3.5626 (3.6579) Prec@1 27.344 (25.229) Prec@5 48.438 (48.942)
Epoch: [3][450/5005] Time 0.214 (0.228) Data 0.041 (0.078) Loss 3.5880 (3.6591) Prec@1 25.000 (25.195) Prec@5 47.266 (48.902)
Epoch: [3][460/5005] Time 0.222 (0.228) Data 0.040 (0.077) Loss 3.7791 (3.6601) Prec@1 22.266 (25.176) Prec@5 48.047 (48.877)
Epoch: [3][470/5005] Time 0.215 (0.228) Data 0.051 (0.076) Loss 3.7734 (3.6610) Prec@1 21.094 (25.163) Prec@5 44.141 (48.855)
Epoch: [3][480/5005] Time 0.208 (0.227) Data 0.052 (0.076) Loss 3.6568 (3.6607) Prec@1 24.609 (25.192) Prec@5 48.828 (48.858)
Epoch: [3][490/5005] Time 0.217 (0.227) Data 0.042 (0.075) Loss 3.5310 (3.6606) Prec@1 29.297 (25.197) Prec@5 53.125 (48.840)
Epoch: [3][500/5005] Time 0.209 (0.227) Data 0.043 (0.074) Loss 3.6721 (3.6618) Prec@1 24.609 (25.198) Prec@5 53.516 (48.809)
Epoch: [3][510/5005] Time 0.207 (0.226) Data 0.070 (0.074) Loss 3.8978 (3.6626) Prec@1 20.312 (25.180) Prec@5 44.141 (48.792)
Epoch: [3][520/5005] Time 0.217 (0.226) Data 0.045 (0.073) Loss 3.5677 (3.6614) Prec@1 28.125 (25.193) Prec@5 48.438 (48.803)
Epoch: [3][530/5005] Time 0.214 (0.226) Data 0.041 (0.073) Loss 3.5539 (3.6611) Prec@1 26.172 (25.188) Prec@5 51.172 (48.822)
Epoch: [3][540/5005] Time 0.217 (0.226) Data 0.045 (0.072) Loss 3.8938 (3.6627) Prec@1 20.312 (25.155) Prec@5 44.922 (48.787)
Epoch: [3][550/5005] Time 0.210 (0.225) Data 0.038 (0.072) Loss 3.5224 (3.6615) Prec@1 24.219 (25.165) Prec@5 52.344 (48.810)
Epoch: [3][560/5005] Time 0.207 (0.225) Data 0.046 (0.071) Loss 3.6633 (3.6604) Prec@1 25.000 (25.182) Prec@5 49.219 (48.842)
Epoch: [3][570/5005] Time 0.209 (0.225) Data 0.042 (0.071) Loss 3.7558 (3.6605) Prec@1 26.172 (25.180) Prec@5 44.922 (48.827)
Epoch: [3][580/5005] Time 0.216 (0.225) Data 0.045 (0.070) Loss 3.6461 (3.6596) Prec@1 25.000 (25.181) Prec@5 50.391 (48.844)
Epoch: [3][590/5005] Time 0.217 (0.225) Data 0.041 (0.070) Loss 3.7649 (3.6595) Prec@1 19.141 (25.189) Prec@5 46.094 (48.831)
Epoch: [3][600/5005] Time 0.206 (0.224) Data 0.050 (0.069) Loss 3.7113 (3.6610) Prec@1 23.047 (25.163) Prec@5 43.359 (48.800)
Epoch: [3][610/5005] Time 0.214 (0.224) Data 0.053 (0.069) Loss 3.5359 (3.6606) Prec@1 25.000 (25.148) Prec@5 50.781 (48.804)
Epoch: [3][620/5005] Time 0.215 (0.224) Data 0.047 (0.069) Loss 3.5717 (3.6604) Prec@1 26.953 (25.162) Prec@5 52.344 (48.814)
Epoch: [3][630/5005] Time 0.203 (0.224) Data 0.045 (0.068) Loss 3.8072 (3.6606) Prec@1 23.438 (25.183) Prec@5 44.531 (48.822)
Epoch: [3][640/5005] Time 0.213 (0.224) Data 0.048 (0.068) Loss 3.4590 (3.6593) Prec@1 24.609 (25.205) Prec@5 52.344 (48.857)
Epoch: [3][650/5005] Time 0.212 (0.224) Data 0.046 (0.068) Loss 3.7889 (3.6598) Prec@1 22.266 (25.203) Prec@5 48.828 (48.854)
Epoch: [3][660/5005] Time 0.218 (0.223) Data 0.043 (0.068) Loss 3.7126 (3.6585) Prec@1 24.219 (25.222) Prec@5 49.609 (48.877)
Epoch: [3][670/5005] Time 0.214 (0.223) Data 0.048 (0.067) Loss 3.8261 (3.6580) Prec@1 23.438 (25.234) Prec@5 48.438 (48.898)
Epoch: [3][680/5005] Time 0.216 (0.223) Data 0.044 (0.067) Loss 3.5933 (3.6578) Prec@1 27.344 (25.237) Prec@5 50.391 (48.902)
Epoch: [3][690/5005] Time 0.217 (0.223) Data 0.043 (0.067) Loss 3.4285 (3.6574) Prec@1 27.734 (25.237) Prec@5 53.125 (48.907)
Epoch: [3][700/5005] Time 0.203 (0.223) Data 0.058 (0.066) Loss 3.7426 (3.6572) Prec@1 26.172 (25.239) Prec@5 47.656 (48.913)
Epoch: [3][710/5005] Time 0.210 (0.223) Data 0.041 (0.066) Loss 3.5500 (3.6569) Prec@1 25.000 (25.238) Prec@5 48.438 (48.922)
Epoch: [3][720/5005] Time 0.210 (0.223) Data 0.044 (0.066) Loss 3.5466 (3.6555) Prec@1 27.344 (25.264) Prec@5 52.734 (48.946)
Epoch: [3][730/5005] Time 0.209 (0.222) Data 0.045 (0.066) Loss 3.8240 (3.6556) Prec@1 25.391 (25.276) Prec@5 46.484 (48.945)
Epoch: [3][740/5005] Time 0.213 (0.222) Data 0.045 (0.065) Loss 3.6796 (3.6559) Prec@1 28.125 (25.287) Prec@5 46.094 (48.940)
Epoch: [3][750/5005] Time 0.213 (0.222) Data 0.039 (0.065) Loss 3.5720 (3.6554) Prec@1 26.172 (25.302) Prec@5 51.172 (48.950)
Epoch: [3][760/5005] Time 0.221 (0.222) Data 0.045 (0.065) Loss 3.6758 (3.6560) Prec@1 25.000 (25.281) Prec@5 47.656 (48.936)
Epoch: [3][770/5005] Time 0.213 (0.222) Data 0.043 (0.064) Loss 3.6265 (3.6548) Prec@1 23.047 (25.298) Prec@5 47.266 (48.952)
Epoch: [3][780/5005] Time 0.210 (0.222) Data 0.063 (0.064) Loss 3.6798 (3.6546) Prec@1 23.047 (25.309) Prec@5 47.656 (48.958)
Epoch: [3][790/5005] Time 0.213 (0.222) Data 0.047 (0.064) Loss 3.6713 (3.6536) Prec@1 26.172 (25.329) Prec@5 49.609 (48.987)
Epoch: [3][800/5005] Time 0.213 (0.222) Data 0.052 (0.064) Loss 3.4745 (3.6531) Prec@1 31.250 (25.352) Prec@5 54.297 (49.005)
Epoch: [3][810/5005] Time 0.204 (0.222) Data 0.039 (0.064) Loss 3.7411 (3.6531) Prec@1 23.828 (25.340) Prec@5 47.266 (48.998)
Epoch: [3][820/5005] Time 0.211 (0.222) Data 0.046 (0.064) Loss 3.8563 (3.6536) Prec@1 29.688 (25.345) Prec@5 48.047 (48.996)
Epoch: [3][830/5005] Time 0.204 (0.222) Data 0.046 (0.065) Loss 3.5238 (3.6534) Prec@1 25.781 (25.338) Prec@5 49.219 (48.996)
Epoch: [3][840/5005] Time 0.215 (0.222) Data 0.045 (0.065) Loss 3.4658 (3.6536) Prec@1 26.562 (25.331) Prec@5 48.047 (49.002)
Epoch: [3][850/5005] Time 0.201 (0.222) Data 0.049 (0.065) Loss 3.7311 (3.6530) Prec@1 25.000 (25.351) Prec@5 50.000 (49.018)
Epoch: [3][860/5005] Time 0.198 (0.222) Data 0.045 (0.066) Loss 3.6836 (3.6528) Prec@1 25.000 (25.372) Prec@5 46.484 (49.021)
Epoch: [3][870/5005] Time 0.200 (0.222) Data 0.047 (0.066) Loss 3.8233 (3.6519) Prec@1 20.312 (25.387) Prec@5 43.359 (49.041)
Epoch: [3][880/5005] Time 0.200 (0.222) Data 0.045 (0.066) Loss 3.6360 (3.6523) Prec@1 23.047 (25.396) Prec@5 52.734 (49.029)
Epoch: [3][890/5005] Time 0.212 (0.222) Data 0.041 (0.066) Loss 3.8653 (3.6522) Prec@1 23.828 (25.392) Prec@5 43.750 (49.022)
Epoch: [3][900/5005] Time 0.203 (0.222) Data 0.042 (0.066) Loss 3.5505 (3.6519) Prec@1 26.172 (25.393) Prec@5 49.219 (49.018)
Epoch: [3][910/5005] Time 0.209 (0.222) Data 0.042 (0.066) Loss 3.5726 (3.6518) Prec@1 27.344 (25.400) Prec@5 51.562 (49.027)
Epoch: [3][920/5005] Time 0.204 (0.223) Data 0.045 (0.067) Loss 3.5111 (3.6510) Prec@1 26.953 (25.410) Prec@5 51.562 (49.041)
Epoch: [3][930/5005] Time 0.198 (0.223) Data 0.119 (0.066) Loss 3.5855 (3.6507) Prec@1 27.734 (25.421) Prec@5 49.609 (49.047)
Epoch: [3][940/5005] Time 0.210 (0.223) Data 0.042 (0.067) Loss 3.6642 (3.6506) Prec@1 21.094 (25.432) Prec@5 47.656 (49.059)
Epoch: [3][950/5005] Time 0.200 (0.224) Data 0.038 (0.068) Loss 3.6758 (3.6509) Prec@1 23.438 (25.431) Prec@5 46.875 (49.059)
Epoch: [3][960/5005] Time 0.920 (0.225) Data 0.835 (0.069) Loss 3.9027 (3.6511) Prec@1 25.391 (25.430) Prec@5 44.531 (49.063)
Epoch: [3][970/5005] Time 0.203 (0.225) Data 0.051 (0.069) Loss 3.4648 (3.6508) Prec@1 30.469 (25.431) Prec@5 52.734 (49.065)
Epoch: [3][980/5005] Time 0.196 (0.225) Data 0.059 (0.069) Loss 3.5324 (3.6501) Prec@1 28.125 (25.450) Prec@5 53.125 (49.070)
Epoch: [3][990/5005] Time 0.214 (0.225) Data 0.043 (0.069) Loss 3.7604 (3.6502) Prec@1 20.312 (25.433) Prec@5 46.094 (49.060)
Epoch: [3][1000/5005] Time 0.208 (0.224) Data 0.043 (0.069) Loss 3.5366 (3.6493) Prec@1 28.906 (25.444) Prec@5 51.953 (49.077)
Epoch: [3][1010/5005] Time 0.212 (0.224) Data 0.041 (0.069) Loss 3.7498 (3.6486) Prec@1 23.438 (25.459) Prec@5 48.828 (49.104)
Epoch: [3][1020/5005] Time 0.205 (0.224) Data 0.045 (0.068) Loss 3.6016 (3.6484) Prec@1 25.781 (25.458) Prec@5 52.734 (49.107)
Epoch: [3][1030/5005] Time 0.217 (0.224) Data 0.044 (0.068) Loss 3.5765 (3.6475) Prec@1 28.906 (25.485) Prec@5 47.656 (49.118)
Epoch: [3][1040/5005] Time 0.200 (0.224) Data 0.044 (0.068) Loss 3.7346 (3.6473) Prec@1 23.047 (25.491) Prec@5 49.609 (49.113)
Epoch: [3][1050/5005] Time 0.214 (0.224) Data 0.042 (0.068) Loss 3.6928 (3.6479) Prec@1 26.562 (25.479) Prec@5 49.609 (49.094)
Epoch: [3][1060/5005] Time 0.199 (0.224) Data 0.042 (0.068) Loss 3.7302 (3.6484) Prec@1 25.781 (25.471) Prec@5 46.875 (49.083)
Epoch: [3][1070/5005] Time 0.205 (0.223) Data 0.041 (0.067) Loss 3.6825 (3.6480) Prec@1 28.516 (25.476) Prec@5 49.219 (49.088)
Epoch: [3][1080/5005] Time 0.210 (0.223) Data 0.047 (0.067) Loss 3.5490 (3.6481) Prec@1 28.906 (25.478) Prec@5 54.297 (49.092)
Epoch: [3][1090/5005] Time 0.219 (0.223) Data 0.042 (0.067) Loss 3.5906 (3.6476) Prec@1 27.734 (25.477) Prec@5 50.000 (49.101)
Epoch: [3][1100/5005] Time 0.202 (0.223) Data 0.055 (0.067) Loss 3.4869 (3.6469) Prec@1 28.125 (25.495) Prec@5 52.344 (49.109)
Epoch: [3][1110/5005] Time 0.210 (0.223) Data 0.040 (0.067) Loss 3.6874 (3.6472) Prec@1 25.781 (25.488) Prec@5 47.266 (49.104)
Epoch: [3][1120/5005] Time 0.203 (0.223) Data 0.046 (0.067) Loss 3.6283 (3.6466) Prec@1 26.562 (25.489) Prec@5 52.734 (49.117)
Epoch: [3][1130/5005] Time 0.208 (0.223) Data 0.046 (0.066) Loss 3.6010 (3.6469) Prec@1 28.125 (25.493) Prec@5 47.656 (49.112)
Epoch: [3][1140/5005] Time 0.205 (0.223) Data 0.049 (0.066) Loss 3.6969 (3.6462) Prec@1 25.000 (25.495) Prec@5 48.047 (49.115)
Epoch: [3][1150/5005] Time 0.211 (0.222) Data 0.047 (0.066) Loss 3.3896 (3.6455) Prec@1 30.078 (25.511) Prec@5 51.172 (49.129)
Epoch: [3][1160/5005] Time 0.209 (0.222) Data 0.041 (0.066) Loss 3.6965 (3.6454) Prec@1 25.391 (25.511) Prec@5 49.219 (49.128)
Epoch: [3][1170/5005] Time 0.196 (0.222) Data 0.044 (0.066) Loss 3.5068 (3.6448) Prec@1 27.344 (25.516) Prec@5 50.000 (49.130)
Epoch: [3][1180/5005] Time 0.206 (0.222) Data 0.050 (0.066) Loss 3.7515 (3.6446) Prec@1 24.219 (25.514) Prec@5 46.484 (49.121)
Epoch: [3][1190/5005] Time 0.204 (0.222) Data 0.055 (0.065) Loss 3.4741 (3.6443) Prec@1 28.906 (25.519) Prec@5 51.562 (49.124)
Epoch: [3][1200/5005] Time 0.208 (0.222) Data 0.041 (0.065) Loss 3.4670 (3.6438) Prec@1 23.828 (25.524) Prec@5 54.688 (49.140)
Epoch: [3][1210/5005] Time 0.212 (0.222) Data 0.048 (0.065) Loss 3.7569 (3.6440) Prec@1 23.438 (25.524) Prec@5 46.875 (49.138)
Epoch: [3][1220/5005] Time 0.207 (0.222) Data 0.062 (0.065) Loss 3.5905 (3.6441) Prec@1 25.781 (25.525) Prec@5 50.391 (49.134)
Epoch: [3][1230/5005] Time 0.209 (0.222) Data 0.120 (0.065) Loss 3.6189 (3.6439) Prec@1 24.219 (25.522) Prec@5 52.344 (49.134)
Epoch: [3][1240/5005] Time 0.197 (0.222) Data 0.092 (0.065) Loss 3.7175 (3.6439) Prec@1 23.438 (25.521) Prec@5 46.875 (49.131)
Epoch: [3][1250/5005] Time 0.215 (0.222) Data 0.042 (0.065) Loss 3.9772 (3.6444) Prec@1 23.828 (25.517) Prec@5 44.531 (49.119)
Epoch: [3][1260/5005] Time 0.203 (0.222) Data 0.045 (0.066) Loss 3.4511 (3.6441) Prec@1 25.781 (25.514) Prec@5 50.000 (49.130)
Epoch: [3][1270/5005] Time 0.447 (0.222) Data 0.357 (0.066) Loss 3.6571 (3.6447) Prec@1 25.391 (25.501) Prec@5 46.875 (49.122)
Epoch: [3][1280/5005] Time 0.199 (0.222) Data 0.082 (0.066) Loss 3.7292 (3.6454) Prec@1 26.953 (25.497) Prec@5 48.047 (49.108)
Epoch: [3][1290/5005] Time 0.201 (0.222) Data 0.047 (0.066) Loss 3.4329 (3.6453) Prec@1 32.422 (25.506) Prec@5 50.391 (49.106)
Epoch: [3][1300/5005] Time 0.201 (0.222) Data 0.043 (0.066) Loss 3.4154 (3.6448) Prec@1 33.594 (25.525) Prec@5 54.297 (49.113)
Epoch: [3][1310/5005] Time 0.421 (0.222) Data 0.333 (0.067) Loss 3.6781 (3.6443) Prec@1 20.703 (25.521) Prec@5 50.781 (49.129)
Epoch: [3][1320/5005] Time 0.195 (0.222) Data 0.046 (0.067) Loss 3.7381 (3.6435) Prec@1 21.875 (25.536) Prec@5 49.219 (49.153)
Epoch: [3][1330/5005] Time 0.197 (0.222) Data 0.044 (0.067) Loss 3.7351 (3.6438) Prec@1 27.344 (25.530) Prec@5 50.000 (49.151)
Epoch: [3][1340/5005] Time 0.202 (0.222) Data 0.041 (0.067) Loss 3.4368 (3.6432) Prec@1 29.297 (25.539) Prec@5 55.859 (49.165)
Epoch: [3][1350/5005] Time 0.305 (0.222) Data 0.219 (0.067) Loss 3.8986 (3.6431) Prec@1 21.484 (25.539) Prec@5 48.047 (49.161)
Epoch: [3][1360/5005] Time 0.205 (0.222) Data 0.059 (0.067) Loss 3.4575 (3.6429) Prec@1 27.344 (25.537) Prec@5 51.953 (49.171)
Epoch: [3][1370/5005] Time 0.208 (0.222) Data 0.054 (0.067) Loss 3.6475 (3.6426) Prec@1 24.219 (25.540) Prec@5 46.875 (49.176)
Epoch: [3][1380/5005] Time 0.198 (0.222) Data 0.045 (0.067) Loss 3.5372 (3.6419) Prec@1 26.562 (25.539) Prec@5 50.391 (49.183)
Epoch: [3][1390/5005] Time 0.203 (0.222) Data 0.048 (0.067) Loss 3.4968 (3.6417) Prec@1 23.438 (25.538) Prec@5 52.344 (49.190)
Epoch: [3][1400/5005] Time 0.199 (0.222) Data 0.099 (0.067) Loss 3.6974 (3.6410) Prec@1 25.781 (25.549) Prec@5 47.266 (49.202)
Epoch: [3][1410/5005] Time 0.198 (0.222) Data 0.046 (0.068) Loss 3.6522 (3.6405) Prec@1 25.391 (25.555) Prec@5 50.000 (49.213)
Epoch: [3][1420/5005] Time 0.199 (0.222) Data 0.052 (0.068) Loss 3.7937 (3.6404) Prec@1 23.438 (25.550) Prec@5 44.922 (49.215)
Epoch: [3][1430/5005] Time 0.193 (0.222) Data 0.046 (0.068) Loss 3.4225 (3.6401) Prec@1 23.828 (25.543) Prec@5 53.906 (49.217)
Epoch: [3][1440/5005] Time 0.196 (0.222) Data 0.094 (0.068) Loss 3.4120 (3.6399) Prec@1 30.078 (25.556) Prec@5 53.906 (49.222)
Epoch: [3][1450/5005] Time 0.204 (0.222) Data 0.044 (0.068) Loss 3.6663 (3.6398) Prec@1 23.828 (25.560) Prec@5 51.172 (49.218)
Epoch: [3][1460/5005] Time 0.200 (0.222) Data 0.049 (0.068) Loss 3.5365 (3.6395) Prec@1 25.000 (25.564) Prec@5 49.609 (49.229)
Epoch: [3][1470/5005] Time 0.197 (0.222) Data 0.063 (0.068) Loss 3.6814 (3.6396) Prec@1 24.219 (25.565) Prec@5 46.484 (49.230)
Epoch: [3][1480/5005] Time 0.200 (0.222) Data 0.051 (0.068) Loss 3.4061 (3.6396) Prec@1 28.125 (25.567) Prec@5 54.688 (49.229)
Epoch: [3][1490/5005] Time 0.208 (0.222) Data 0.041 (0.068) Loss 3.7464 (3.6392) Prec@1 26.562 (25.575) Prec@5 48.438 (49.247)
Epoch: [3][1500/5005] Time 0.198 (0.222) Data 0.039 (0.068) Loss 3.7264 (3.6391) Prec@1 26.172 (25.577) Prec@5 45.312 (49.249)
Epoch: [3][1510/5005] Time 0.441 (0.223) Data 0.362 (0.069) Loss 3.3608 (3.6385) Prec@1 25.781 (25.584) Prec@5 52.734 (49.260)
Epoch: [3][1520/5005] Time 0.194 (0.222) Data 0.061 (0.068) Loss 3.6547 (3.6381) Prec@1 28.125 (25.601) Prec@5 51.172 (49.262)
Epoch: [3][1530/5005] Time 0.205 (0.222) Data 0.047 (0.068) Loss 3.8119 (3.6377) Prec@1 24.609 (25.605) Prec@5 44.141 (49.267)
Epoch: [3][1540/5005] Time 0.209 (0.222) Data 0.042 (0.068) Loss 3.7274 (3.6382) Prec@1 23.828 (25.602) Prec@5 46.875 (49.258)
Epoch: [3][1550/5005] Time 0.207 (0.222) Data 0.044 (0.068) Loss 3.5276 (3.6376) Prec@1 26.562 (25.608) Prec@5 51.953 (49.265)
Epoch: [3][1560/5005] Time 0.203 (0.222) Data 0.046 (0.069) Loss 3.6133 (3.6378) Prec@1 23.438 (25.611) Prec@5 50.781 (49.265)
Epoch: [3][1570/5005] Time 0.195 (0.222) Data 0.054 (0.069) Loss 3.5244 (3.6375) Prec@1 23.828 (25.613) Prec@5 52.344 (49.273)
Epoch: [3][1580/5005] Time 0.196 (0.223) Data 0.056 (0.069) Loss 3.5951 (3.6378) Prec@1 22.266 (25.603) Prec@5 47.656 (49.266)
Epoch: [3][1590/5005] Time 0.202 (0.223) Data 0.068 (0.069) Loss 3.6327 (3.6374) Prec@1 25.781 (25.608) Prec@5 49.219 (49.269)
Epoch: [3][1600/5005] Time 0.204 (0.223) Data 0.045 (0.069) Loss 3.6541 (3.6375) Prec@1 25.000 (25.602) Prec@5 48.828 (49.269)
Epoch: [3][1610/5005] Time 0.198 (0.222) Data 0.041 (0.069) Loss 3.7151 (3.6375) Prec@1 25.000 (25.609) Prec@5 48.438 (49.276)
Epoch: [3][1620/5005] Time 0.213 (0.223) Data 0.046 (0.070) Loss 3.7140 (3.6372) Prec@1 26.953 (25.611) Prec@5 47.656 (49.278)
Epoch: [3][1630/5005] Time 0.208 (0.223) Data 0.045 (0.070) Loss 3.5107 (3.6371) Prec@1 28.125 (25.615) Prec@5 51.172 (49.282)
Epoch: [3][1640/5005] Time 0.197 (0.223) Data 0.054 (0.070) Loss 3.6845 (3.6372) Prec@1 24.609 (25.616) Prec@5 49.219 (49.282)
Epoch: [3][1650/5005] Time 0.196 (0.223) Data 0.114 (0.070) Loss 3.6462 (3.6369) Prec@1 28.125 (25.626) Prec@5 49.609 (49.287)
Epoch: [3][1660/5005] Time 0.203 (0.223) Data 0.055 (0.070) Loss 3.4265 (3.6359) Prec@1 28.125 (25.642) Prec@5 53.906 (49.306)
Epoch: [3][1670/5005] Time 0.205 (0.223) Data 0.059 (0.070) Loss 3.4865 (3.6359) Prec@1 28.125 (25.641) Prec@5 50.781 (49.308)
Epoch: [3][1680/5005] Time 0.205 (0.223) Data 0.059 (0.070) Loss 3.8011 (3.6360) Prec@1 28.516 (25.643) Prec@5 46.094 (49.300)
Epoch: [3][1690/5005] Time 0.256 (0.223) Data 0.173 (0.070) Loss 3.3389 (3.6353) Prec@1 30.078 (25.653) Prec@5 51.953 (49.313)
Epoch: [3][1700/5005] Time 0.203 (0.223) Data 0.048 (0.070) Loss 3.5656 (3.6347) Prec@1 28.125 (25.664) Prec@5 50.391 (49.317)
Epoch: [3][1710/5005] Time 0.194 (0.223) Data 0.044 (0.070) Loss 3.3556 (3.6338) Prec@1 30.078 (25.671) Prec@5 55.078 (49.337)
Epoch: [3][1720/5005] Time 0.205 (0.223) Data 0.044 (0.070) Loss 3.6879 (3.6337) Prec@1 28.516 (25.674) Prec@5 47.656 (49.331)
Epoch: [3][1730/5005] Time 0.198 (0.223) Data 0.047 (0.070) Loss 3.4548 (3.6334) Prec@1 25.000 (25.680) Prec@5 53.125 (49.339)
Epoch: [3][1740/5005] Time 0.202 (0.223) Data 0.040 (0.070) Loss 3.6528 (3.6330) Prec@1 24.219 (25.679) Prec@5 45.703 (49.344)
Epoch: [3][1750/5005] Time 0.424 (0.223) Data 0.331 (0.070) Loss 3.6180 (3.6324) Prec@1 24.609 (25.683) Prec@5 49.609 (49.353)
Epoch: [3][1760/5005] Time 0.207 (0.223) Data 0.122 (0.071) Loss 3.3104 (3.6323) Prec@1 32.031 (25.685) Prec@5 54.297 (49.354)
Epoch: [3][1770/5005] Time 0.208 (0.223) Data 0.046 (0.071) Loss 3.6007 (3.6320) Prec@1 26.562 (25.679) Prec@5 46.094 (49.354)
Epoch: [3][1780/5005] Time 0.210 (0.223) Data 0.052 (0.071) Loss 3.5660 (3.6315) Prec@1 25.781 (25.687) Prec@5 50.000 (49.366)
Epoch: [3][1790/5005] Time 0.203 (0.223) Data 0.049 (0.071) Loss 3.4184 (3.6310) Prec@1 30.859 (25.691) Prec@5 51.172 (49.380)
Epoch: [3][1800/5005] Time 0.202 (0.223) Data 0.047 (0.071) Loss 3.4613 (3.6305) Prec@1 28.906 (25.696) Prec@5 54.297 (49.388)
Epoch: [3][1810/5005] Time 0.209 (0.223) Data 0.056 (0.071) Loss 3.6255 (3.6305) Prec@1 25.781 (25.692) Prec@5 50.781 (49.393)
Epoch: [3][1820/5005] Time 0.193 (0.223) Data 0.067 (0.071) Loss 3.5934 (3.6304) Prec@1 26.172 (25.694) Prec@5 50.781 (49.397)
Epoch: [3][1830/5005] Time 0.208 (0.223) Data 0.049 (0.071) Loss 3.3810 (3.6298) Prec@1 29.297 (25.702) Prec@5 53.516 (49.411)
Epoch: [3][1840/5005] Time 0.201 (0.223) Data 0.051 (0.071) Loss 3.7479 (3.6296) Prec@1 27.344 (25.710) Prec@5 49.609 (49.419)
Epoch: [3][1850/5005] Time 0.199 (0.223) Data 0.040 (0.071) Loss 3.7219 (3.6294) Prec@1 23.438 (25.709) Prec@5 49.219 (49.421)
Epoch: [3][1860/5005] Time 0.238 (0.223) Data 0.149 (0.071) Loss 3.6386 (3.6293) Prec@1 25.000 (25.704) Prec@5 49.219 (49.425)
Epoch: [3][1870/5005] Time 0.201 (0.223) Data 0.056 (0.071) Loss 3.6646 (3.6296) Prec@1 24.609 (25.695) Prec@5 49.609 (49.420)
Epoch: [3][1880/5005] Time 0.201 (0.223) Data 0.042 (0.071) Loss 3.4765 (3.6295) Prec@1 27.344 (25.694) Prec@5 51.953 (49.424)
Epoch: [3][1890/5005] Time 0.193 (0.223) Data 0.045 (0.071) Loss 3.7211 (3.6291) Prec@1 22.656 (25.697) Prec@5 49.609 (49.433)
Epoch: [3][1900/5005] Time 0.203 (0.223) Data 0.127 (0.071) Loss 3.6154 (3.6294) Prec@1 25.000 (25.694) Prec@5 50.391 (49.432)
Epoch: [3][1910/5005] Time 0.210 (0.223) Data 0.042 (0.072) Loss 3.7138 (3.6294) Prec@1 22.656 (25.693) Prec@5 46.094 (49.429)
Epoch: [3][1920/5005] Time 0.191 (0.223) Data 0.072 (0.072) Loss 3.6453 (3.6292) Prec@1 23.047 (25.690) Prec@5 46.484 (49.434)
Epoch: [3][1930/5005] Time 0.200 (0.223) Data 0.045 (0.072) Loss 3.4365 (3.6290) Prec@1 25.391 (25.695) Prec@5 53.125 (49.440)
Epoch: [3][1940/5005] Time 0.482 (0.223) Data 0.400 (0.072) Loss 3.3921 (3.6284) Prec@1 32.812 (25.703) Prec@5 57.422 (49.449)
Epoch: [3][1950/5005] Time 0.210 (0.223) Data 0.048 (0.072) Loss 3.6079 (3.6283) Prec@1 25.391 (25.706) Prec@5 48.438 (49.449)
Epoch: [3][1960/5005] Time 0.193 (0.223) Data 0.054 (0.072) Loss 3.5221 (3.6279) Prec@1 25.000 (25.710) Prec@5 51.172 (49.457)
Epoch: [3][1970/5005] Time 0.200 (0.223) Data 0.044 (0.072) Loss 3.5723 (3.6279) Prec@1 25.391 (25.712) Prec@5 51.953 (49.458)
Epoch: [3][1980/5005] Time 0.205 (0.223) Data 0.048 (0.072) Loss 3.3099 (3.6275) Prec@1 33.594 (25.723) Prec@5 57.422 (49.465)
Epoch: [3][1990/5005] Time 0.204 (0.223) Data 0.044 (0.072) Loss 3.3863 (3.6273) Prec@1 32.422 (25.724) Prec@5 56.641 (49.472)
Epoch: [3][2000/5005] Time 0.198 (0.223) Data 0.051 (0.072) Loss 3.3662 (3.6273) Prec@1 32.422 (25.725) Prec@5 54.297 (49.470)
Epoch: [3][2010/5005] Time 0.202 (0.223) Data 0.045 (0.072) Loss 3.4379 (3.6273) Prec@1 28.516 (25.723) Prec@5 51.172 (49.462)
Epoch: [3][2020/5005] Time 0.199 (0.223) Data 0.049 (0.072) Loss 3.5799 (3.6272) Prec@1 25.000 (25.730) Prec@5 49.219 (49.464)
Epoch: [3][2030/5005] Time 0.203 (0.223) Data 0.051 (0.072) Loss 3.4900 (3.6270) Prec@1 25.391 (25.734) Prec@5 51.953 (49.467)
Epoch: [3][2040/5005] Time 0.208 (0.223) Data 0.046 (0.072) Loss 3.3212 (3.6267) Prec@1 32.031 (25.732) Prec@5 54.688 (49.469)
Epoch: [3][2050/5005] Time 0.207 (0.223) Data 0.046 (0.072) Loss 3.7431 (3.6266) Prec@1 25.000 (25.733) Prec@5 47.266 (49.468)
Epoch: [3][2060/5005] Time 0.202 (0.223) Data 0.042 (0.072) Loss 3.4678 (3.6264) Prec@1 27.344 (25.741) Prec@5 48.828 (49.470)
Epoch: [3][2070/5005] Time 0.195 (0.224) Data 0.054 (0.072) Loss 3.7084 (3.6263) Prec@1 26.562 (25.743) Prec@5 46.875 (49.466)
Epoch: [3][2080/5005] Time 0.226 (0.223) Data 0.047 (0.072) Loss 3.6964 (3.6262) Prec@1 23.047 (25.746) Prec@5 49.219 (49.475)
Epoch: [3][2090/5005] Time 0.197 (0.223) Data 0.044 (0.072) Loss 3.3929 (3.6257) Prec@1 27.734 (25.752) Prec@5 52.734 (49.483)
Epoch: [3][2100/5005] Time 0.200 (0.224) Data 0.056 (0.072) Loss 3.6064 (3.6255) Prec@1 23.047 (25.748) Prec@5 49.609 (49.487)
Epoch: [3][2110/5005] Time 0.194 (0.224) Data 0.055 (0.072) Loss 3.5137 (3.6255) Prec@1 30.078 (25.753) Prec@5 48.828 (49.492)
Epoch: [3][2120/5005] Time 0.202 (0.224) Data 0.045 (0.072) Loss 3.7953 (3.6256) Prec@1 24.609 (25.754) Prec@5 45.312 (49.490)
Epoch: [3][2130/5005] Time 0.196 (0.224) Data 0.066 (0.073) Loss 3.6488 (3.6252) Prec@1 27.344 (25.762) Prec@5 48.047 (49.496)
Epoch: [3][2140/5005] Time 0.203 (0.224) Data 0.069 (0.072) Loss 3.5691 (3.6250) Prec@1 26.172 (25.768) Prec@5 48.828 (49.498)
Epoch: [3][2150/5005] Time 0.259 (0.224) Data 0.180 (0.073) Loss 3.4927 (3.6248) Prec@1 30.469 (25.775) Prec@5 53.516 (49.501)
Epoch: [3][2160/5005] Time 0.202 (0.223) Data 0.043 (0.072) Loss 3.4819 (3.6246) Prec@1 29.297 (25.773) Prec@5 51.953 (49.504)
Epoch: [3][2170/5005] Time 0.204 (0.223) Data 0.042 (0.073) Loss 3.5919 (3.6243) Prec@1 28.906 (25.782) Prec@5 51.172 (49.509)
Epoch: [3][2180/5005] Time 0.374 (0.224) Data 0.298 (0.073) Loss 3.6243 (3.6242) Prec@1 29.297 (25.782) Prec@5 48.438 (49.514)
Epoch: [3][2190/5005] Time 0.199 (0.224) Data 0.040 (0.073) Loss 3.7693 (3.6242) Prec@1 23.438 (25.784) Prec@5 46.875 (49.515)
Epoch: [3][2200/5005] Time 0.206 (0.224) Data 0.044 (0.073) Loss 3.7380 (3.6241) Prec@1 27.344 (25.784) Prec@5 45.312 (49.513)
Epoch: [3][2210/5005] Time 0.207 (0.224) Data 0.044 (0.073) Loss 3.7240 (3.6241) Prec@1 25.781 (25.785) Prec@5 43.750 (49.515)
Epoch: [3][2220/5005] Time 0.207 (0.224) Data 0.091 (0.073) Loss 3.6119 (3.6236) Prec@1 28.125 (25.791) Prec@5 50.781 (49.525)
Epoch: [3][2230/5005] Time 0.204 (0.224) Data 0.040 (0.073) Loss 3.6448 (3.6234) Prec@1 25.391 (25.796) Prec@5 47.266 (49.531)
Epoch: [3][2240/5005] Time 0.206 (0.224) Data 0.061 (0.073) Loss 3.6212 (3.6231) Prec@1 25.000 (25.800) Prec@5 53.516 (49.535)
Epoch: [3][2250/5005] Time 0.205 (0.224) Data 0.066 (0.073) Loss 3.4583 (3.6230) Prec@1 25.391 (25.802) Prec@5 54.688 (49.538)
Epoch: [3][2260/5005] Time 0.354 (0.224) Data 0.265 (0.073) Loss 3.4822 (3.6224) Prec@1 28.906 (25.811) Prec@5 50.000 (49.546)
Epoch: [3][2270/5005] Time 0.194 (0.224) Data 0.092 (0.073) Loss 3.7175 (3.6220) Prec@1 23.047 (25.814) Prec@5 46.875 (49.560)
Epoch: [3][2280/5005] Time 0.203 (0.224) Data 0.044 (0.073) Loss 3.5580 (3.6219) Prec@1 26.172 (25.814) Prec@5 48.828 (49.561)
Epoch: [3][2290/5005] Time 0.192 (0.224) Data 0.096 (0.073) Loss 3.2901 (3.6217) Prec@1 32.422 (25.822) Prec@5 52.734 (49.565)
Epoch: [3][2300/5005] Time 0.202 (0.224) Data 0.042 (0.073) Loss 3.5214 (3.6217) Prec@1 25.391 (25.819) Prec@5 51.562 (49.564)
Epoch: [3][2310/5005] Time 0.314 (0.224) Data 0.232 (0.073) Loss 3.3909 (3.6214) Prec@1 29.297 (25.825) Prec@5 51.953 (49.573)
Epoch: [3][2320/5005] Time 0.203 (0.224) Data 0.043 (0.073) Loss 3.6893 (3.6213) Prec@1 22.266 (25.823) Prec@5 48.828 (49.574)
Epoch: [3][2330/5005] Time 0.204 (0.224) Data 0.046 (0.073) Loss 3.4885 (3.6210) Prec@1 29.688 (25.832) Prec@5 51.172 (49.583)
Epoch: [3][2340/5005] Time 0.300 (0.224) Data 0.214 (0.074) Loss 3.5232 (3.6205) Prec@1 30.469 (25.840) Prec@5 47.656 (49.588)
Epoch: [3][2350/5005] Time 0.212 (0.224) Data 0.042 (0.074) Loss 3.5731 (3.6201) Prec@1 28.125 (25.848) Prec@5 50.000 (49.596)
Epoch: [3][2360/5005] Time 0.190 (0.224) Data 0.051 (0.074) Loss 3.3556 (3.6199) Prec@1 30.078 (25.852) Prec@5 53.125 (49.595)
Epoch: [3][2370/5005] Time 0.191 (0.224) Data 0.045 (0.074) Loss 3.6778 (3.6199) Prec@1 24.609 (25.849) Prec@5 46.484 (49.595)
Epoch: [3][2380/5005] Time 0.202 (0.224) Data 0.050 (0.074) Loss 3.6636 (3.6196) Prec@1 24.219 (25.851) Prec@5 46.484 (49.595)
Epoch: [3][2390/5005] Time 0.192 (0.224) Data 0.047 (0.074) Loss 3.6822 (3.6193) Prec@1 26.172 (25.857) Prec@5 48.438 (49.601)
Epoch: [3][2400/5005] Time 0.199 (0.224) Data 0.040 (0.074) Loss 3.4121 (3.6192) Prec@1 29.688 (25.859) Prec@5 55.469 (49.603)
Epoch: [3][2410/5005] Time 0.322 (0.224) Data 0.233 (0.074) Loss 3.6991 (3.6191) Prec@1 25.781 (25.864) Prec@5 45.703 (49.603)
Epoch: [3][2420/5005] Time 0.201 (0.224) Data 0.120 (0.074) Loss 3.5584 (3.6188) Prec@1 24.609 (25.866) Prec@5 51.172 (49.613)
Epoch: [3][2430/5005] Time 0.240 (0.224) Data 0.149 (0.074) Loss 3.5176 (3.6187) Prec@1 25.391 (25.873) Prec@5 51.172 (49.613)
Epoch: [3][2440/5005] Time 0.203 (0.224) Data 0.050 (0.074) Loss 3.4479 (3.6186) Prec@1 25.000 (25.873) Prec@5 53.125 (49.615)
Epoch: [3][2450/5005] Time 0.201 (0.224) Data 0.047 (0.074) Loss 3.6371 (3.6184) Prec@1 26.953 (25.878) Prec@5 49.219 (49.619)
Epoch: [3][2460/5005] Time 0.208 (0.224) Data 0.040 (0.074) Loss 3.6822 (3.6181) Prec@1 25.391 (25.883) Prec@5 46.484 (49.624)
Epoch: [3][2470/5005] Time 0.212 (0.224) Data 0.063 (0.074) Loss 3.5581 (3.6179) Prec@1 30.078 (25.888) Prec@5 50.000 (49.629)
Epoch: [3][2480/5005] Time 0.193 (0.224) Data 0.064 (0.074) Loss 3.6451 (3.6178) Prec@1 25.000 (25.892) Prec@5 50.391 (49.629)
Epoch: [3][2490/5005] Time 0.201 (0.224) Data 0.043 (0.074) Loss 3.4791 (3.6179) Prec@1 30.469 (25.884) Prec@5 51.172 (49.626)
Epoch: [3][2500/5005] Time 0.192 (0.224) Data 0.043 (0.074) Loss 3.6024 (3.6177) Prec@1 28.906 (25.889) Prec@5 50.391 (49.630)
Epoch: [3][2510/5005] Time 0.195 (0.224) Data 0.054 (0.074) Loss 3.5019 (3.6178) Prec@1 29.297 (25.887) Prec@5 51.953 (49.626)
Epoch: [3][2520/5005] Time 0.192 (0.224) Data 0.060 (0.074) Loss 3.5944 (3.6175) Prec@1 28.125 (25.894) Prec@5 51.172 (49.630)
Epoch: [3][2530/5005] Time 0.564 (0.224) Data 0.483 (0.074) Loss 3.7118 (3.6173) Prec@1 25.781 (25.896) Prec@5 45.703 (49.630)
Epoch: [3][2540/5005] Time 0.203 (0.224) Data 0.049 (0.074) Loss 3.5687 (3.6171) Prec@1 26.953 (25.900) Prec@5 51.562 (49.634)
Epoch: [3][2550/5005] Time 0.193 (0.224) Data 0.048 (0.074) Loss 3.4928 (3.6169) Prec@1 25.000 (25.902) Prec@5 49.219 (49.636)
Epoch: [3][2560/5005] Time 0.202 (0.224) Data 0.044 (0.074) Loss 3.7657 (3.6169) Prec@1 20.703 (25.901) Prec@5 46.875 (49.635)
Epoch: [3][2570/5005] Time 0.201 (0.224) Data 0.079 (0.074) Loss 3.5679 (3.6167) Prec@1 25.000 (25.902) Prec@5 50.391 (49.638)
Epoch: [3][2580/5005] Time 0.203 (0.224) Data 0.046 (0.074) Loss 3.5861 (3.6169) Prec@1 26.172 (25.898) Prec@5 52.344 (49.635)
Epoch: [3][2590/5005] Time 0.204 (0.224) Data 0.090 (0.074) Loss 3.6620 (3.6165) Prec@1 25.000 (25.909) Prec@5 48.828 (49.643)
Epoch: [3][2600/5005] Time 0.200 (0.224) Data 0.039 (0.074) Loss 3.6502 (3.6165) Prec@1 24.609 (25.907) Prec@5 47.656 (49.645)
Epoch: [3][2610/5005] Time 0.237 (0.224) Data 0.152 (0.074) Loss 3.7123 (3.6163) Prec@1 25.391 (25.907) Prec@5 48.047 (49.650)
Epoch: [3][2620/5005] Time 0.204 (0.224) Data 0.048 (0.074) Loss 3.6113 (3.6161) Prec@1 28.125 (25.910) Prec@5 49.609 (49.655)
Epoch: [3][2630/5005] Time 0.194 (0.224) Data 0.049 (0.074) Loss 3.7659 (3.6163) Prec@1 23.438 (25.907) Prec@5 48.438 (49.654)
Epoch: [3][2640/5005] Time 0.211 (0.224) Data 0.043 (0.075) Loss 3.6499 (3.6162) Prec@1 25.781 (25.906) Prec@5 48.438 (49.657)
Epoch: [3][2650/5005] Time 0.194 (0.224) Data 0.044 (0.075) Loss 3.8858 (3.6161) Prec@1 23.438 (25.913) Prec@5 44.141 (49.658)
Epoch: [3][2660/5005] Time 0.195 (0.224) Data 0.039 (0.074) Loss 3.7882 (3.6161) Prec@1 18.359 (25.913) Prec@5 48.438 (49.661)
Epoch: [3][2670/5005] Time 0.194 (0.224) Data 0.046 (0.074) Loss 3.2802 (3.6158) Prec@1 31.641 (25.919) Prec@5 52.344 (49.664)
Epoch: [3][2680/5005] Time 0.205 (0.224) Data 0.052 (0.074) Loss 3.6279 (3.6158) Prec@1 25.781 (25.917) Prec@5 50.781 (49.662)
Epoch: [3][2690/5005] Time 0.200 (0.224) Data 0.051 (0.074) Loss 3.4800 (3.6157) Prec@1 28.906 (25.916) Prec@5 54.688 (49.667)
Epoch: [3][2700/5005] Time 0.215 (0.224) Data 0.044 (0.074) Loss 3.6273 (3.6158) Prec@1 25.781 (25.913) Prec@5 48.438 (49.664)
Epoch: [3][2710/5005] Time 0.208 (0.224) Data 0.053 (0.074) Loss 3.3611 (3.6158) Prec@1 30.078 (25.911) Prec@5 54.297 (49.662)
Epoch: [3][2720/5005] Time 0.201 (0.224) Data 0.064 (0.074) Loss 3.5960 (3.6158) Prec@1 27.344 (25.910) Prec@5 52.344 (49.662)
Epoch: [3][2730/5005] Time 0.197 (0.224) Data 0.094 (0.074) Loss 3.6942 (3.6156) Prec@1 24.219 (25.913) Prec@5 46.094 (49.664)
Epoch: [3][2740/5005] Time 0.197 (0.224) Data 0.053 (0.074) Loss 3.4919 (3.6154) Prec@1 26.953 (25.913) Prec@5 55.078 (49.668)
Epoch: [3][2750/5005] Time 0.200 (0.224) Data 0.097 (0.074) Loss 3.5264 (3.6150) Prec@1 25.781 (25.919) Prec@5 48.828 (49.673)
Epoch: [3][2760/5005] Time 0.201 (0.224) Data 0.041 (0.074) Loss 3.5797 (3.6147) Prec@1 25.391 (25.924) Prec@5 49.219 (49.679)
Epoch: [3][2770/5005] Time 0.343 (0.224) Data 0.260 (0.075) Loss 3.5170 (3.6147) Prec@1 25.000 (25.924) Prec@5 49.609 (49.677)
Epoch: [3][2780/5005] Time 0.201 (0.224) Data 0.043 (0.075) Loss 3.6860 (3.6144) Prec@1 26.562 (25.929) Prec@5 47.656 (49.685)
Epoch: [3][2790/5005] Time 0.478 (0.224) Data 0.382 (0.075) Loss 3.8819 (3.6143) Prec@1 20.703 (25.931) Prec@5 39.844 (49.685)
Epoch: [3][2800/5005] Time 0.378 (0.224) Data 0.296 (0.075) Loss 3.3469 (3.6140) Prec@1 28.906 (25.937) Prec@5 57.812 (49.692)
Epoch: [3][2810/5005] Time 0.209 (0.224) Data 0.039 (0.075) Loss 3.6720 (3.6139) Prec@1 25.781 (25.935) Prec@5 48.438 (49.693)
Epoch: [3][2820/5005] Time 0.245 (0.224) Data 0.167 (0.075) Loss 3.4137 (3.6138) Prec@1 26.562 (25.936) Prec@5 52.734 (49.695)
Epoch: [3][2830/5005] Time 0.197 (0.224) Data 0.111 (0.075) Loss 3.8484 (3.6139) Prec@1 23.828 (25.936) Prec@5 46.484 (49.695)
Epoch: [3][2840/5005] Time 0.206 (0.224) Data 0.045 (0.075) Loss 3.5981 (3.6138) Prec@1 27.344 (25.936) Prec@5 49.219 (49.698)
Epoch: [3][2850/5005] Time 0.461 (0.224) Data 0.380 (0.075) Loss 3.5771 (3.6136) Prec@1 31.250 (25.945) Prec@5 50.000 (49.704)
Epoch: [3][2860/5005] Time 0.201 (0.224) Data 0.048 (0.075) Loss 3.5359 (3.6135) Prec@1 28.516 (25.950) Prec@5 51.172 (49.703)
Epoch: [3][2870/5005] Time 0.201 (0.224) Data 0.044 (0.075) Loss 3.5042 (3.6131) Prec@1 27.344 (25.960) Prec@5 51.172 (49.712)
Epoch: [3][2880/5005] Time 0.203 (0.224) Data 0.046 (0.075) Loss 3.4321 (3.6129) Prec@1 26.172 (25.964) Prec@5 55.469 (49.720)
Epoch: [3][2890/5005] Time 0.199 (0.224) Data 0.051 (0.075) Loss 3.7497 (3.6128) Prec@1 24.609 (25.967) Prec@5 46.094 (49.717)
Epoch: [3][2900/5005] Time 0.199 (0.224) Data 0.047 (0.075) Loss 3.4008 (3.6126) Prec@1 28.906 (25.970) Prec@5 54.297 (49.725)
Epoch: [3][2910/5005] Time 0.199 (0.224) Data 0.044 (0.075) Loss 3.6053 (3.6127) Prec@1 25.000 (25.968) Prec@5 49.609 (49.726)
Epoch: [3][2920/5005] Time 0.197 (0.224) Data 0.048 (0.075) Loss 3.6449 (3.6127) Prec@1 25.781 (25.972) Prec@5 50.391 (49.728)
Epoch: [3][2930/5005] Time 0.194 (0.224) Data 0.044 (0.075) Loss 3.7787 (3.6126) Prec@1 22.266 (25.976) Prec@5 45.703 (49.732)
Epoch: [3][2940/5005] Time 0.365 (0.224) Data 0.280 (0.075) Loss 3.6339 (3.6124) Prec@1 26.562 (25.978) Prec@5 49.609 (49.733)
Epoch: [3][2950/5005] Time 0.201 (0.224) Data 0.051 (0.075) Loss 3.8196 (3.6122) Prec@1 25.781 (25.982) Prec@5 42.578 (49.736)
Epoch: [3][2960/5005] Time 0.201 (0.224) Data 0.041 (0.075) Loss 3.6456 (3.6121) Prec@1 25.000 (25.983) Prec@5 51.562 (49.738)
Epoch: [3][2970/5005] Time 0.691 (0.224) Data 0.609 (0.076) Loss 3.6289 (3.6119) Prec@1 21.875 (25.982) Prec@5 51.953 (49.742)
Epoch: [3][2980/5005] Time 0.196 (0.224) Data 0.045 (0.076) Loss 3.6857 (3.6119) Prec@1 25.391 (25.981) Prec@5 50.391 (49.746)
Epoch: [3][2990/5005] Time 0.193 (0.224) Data 0.048 (0.076) Loss 3.5525 (3.6118) Prec@1 28.516 (25.981) Prec@5 50.391 (49.747)
Epoch: [3][3000/5005] Time 0.200 (0.224) Data 0.039 (0.076) Loss 3.5818 (3.6116) Prec@1 21.484 (25.983) Prec@5 52.344 (49.751)
Epoch: [3][3010/5005] Time 0.206 (0.224) Data 0.039 (0.076) Loss 3.5434 (3.6116) Prec@1 25.391 (25.980) Prec@5 51.562 (49.750)
Epoch: [3][3020/5005] Time 0.290 (0.224) Data 0.205 (0.076) Loss 3.3919 (3.6116) Prec@1 27.734 (25.982) Prec@5 52.734 (49.749)
Epoch: [3][3030/5005] Time 0.197 (0.224) Data 0.050 (0.076) Loss 3.6549 (3.6116) Prec@1 28.125 (25.982) Prec@5 51.562 (49.753)
Epoch: [3][3040/5005] Time 0.207 (0.224) Data 0.040 (0.076) Loss 3.4862 (3.6113) Prec@1 30.078 (25.987) Prec@5 49.219 (49.758)
Epoch: [3][3050/5005] Time 0.210 (0.224) Data 0.041 (0.076) Loss 3.5749 (3.6111) Prec@1 24.219 (25.989) Prec@5 48.047 (49.762)
Epoch: [3][3060/5005] Time 0.216 (0.224) Data 0.042 (0.076) Loss 3.4342 (3.6108) Prec@1 30.859 (25.993) Prec@5 53.906 (49.765)
Epoch: [3][3070/5005] Time 0.554 (0.224) Data 0.465 (0.076) Loss 3.6568 (3.6108) Prec@1 23.047 (25.991) Prec@5 49.609 (49.765)
Epoch: [3][3080/5005] Time 0.305 (0.224) Data 0.213 (0.076) Loss 3.3957 (3.6106) Prec@1 25.000 (25.991) Prec@5 51.953 (49.766)
Epoch: [3][3090/5005] Time 0.200 (0.224) Data 0.044 (0.076) Loss 3.9471 (3.6105) Prec@1 21.094 (25.992) Prec@5 45.703 (49.767)
Epoch: [3][3100/5005] Time 0.461 (0.224) Data 0.372 (0.076) Loss 3.5286 (3.6102) Prec@1 28.516 (25.996) Prec@5 50.781 (49.774)
Epoch: [3][3110/5005] Time 0.201 (0.224) Data 0.052 (0.076) Loss 3.2832 (3.6100) Prec@1 29.688 (25.999) Prec@5 57.031 (49.779)
Epoch: [3][3120/5005] Time 0.196 (0.224) Data 0.060 (0.076) Loss 3.6863 (3.6098) Prec@1 23.438 (26.001) Prec@5 44.922 (49.781)
Epoch: [3][3130/5005] Time 0.351 (0.224) Data 0.269 (0.076) Loss 3.6473 (3.6096) Prec@1 24.219 (26.002) Prec@5 48.047 (49.784)
Epoch: [3][3140/5005] Time 0.200 (0.224) Data 0.054 (0.076) Loss 3.4142 (3.6093) Prec@1 29.297 (26.009) Prec@5 55.859 (49.790)
Epoch: [3][3150/5005] Time 0.202 (0.224) Data 0.062 (0.076) Loss 3.5223 (3.6089) Prec@1 27.344 (26.015) Prec@5 53.906 (49.800)
Epoch: [3][3160/5005] Time 0.200 (0.224) Data 0.044 (0.076) Loss 3.4655 (3.6088) Prec@1 32.812 (26.022) Prec@5 51.172 (49.803)
Epoch: [3][3170/5005] Time 0.204 (0.224) Data 0.052 (0.076) Loss 3.6477 (3.6087) Prec@1 27.344 (26.027) Prec@5 51.562 (49.804)
Epoch: [3][3180/5005] Time 0.344 (0.224) Data 0.256 (0.076) Loss 3.3830 (3.6087) Prec@1 30.469 (26.025) Prec@5 55.469 (49.803)
Epoch: [3][3190/5005] Time 0.202 (0.224) Data 0.046 (0.076) Loss 3.5544 (3.6086) Prec@1 30.469 (26.027) Prec@5 50.781 (49.807)
Epoch: [3][3200/5005] Time 0.199 (0.224) Data 0.051 (0.076) Loss 3.6742 (3.6084) Prec@1 22.266 (26.031) Prec@5 50.000 (49.815)
Epoch: [3][3210/5005] Time 0.391 (0.224) Data 0.305 (0.076) Loss 3.6819 (3.6083) Prec@1 23.047 (26.031) Prec@5 50.391 (49.820)
Epoch: [3][3220/5005] Time 0.200 (0.224) Data 0.043 (0.077) Loss 3.6991 (3.6083) Prec@1 26.953 (26.032) Prec@5 48.438 (49.822)
Epoch: [3][3230/5005] Time 0.203 (0.224) Data 0.045 (0.076) Loss 3.3634 (3.6082) Prec@1 26.172 (26.035) Prec@5 53.516 (49.827)
Epoch: [3][3240/5005] Time 0.201 (0.224) Data 0.045 (0.076) Loss 3.8326 (3.6084) Prec@1 24.219 (26.032) Prec@5 44.531 (49.821)
Epoch: [3][3250/5005] Time 0.204 (0.224) Data 0.046 (0.077) Loss 3.5432 (3.6084) Prec@1 26.172 (26.031) Prec@5 48.047 (49.820)
Epoch: [3][3260/5005] Time 0.198 (0.224) Data 0.043 (0.076) Loss 3.4365 (3.6084) Prec@1 27.344 (26.030) Prec@5 49.219 (49.819)
Epoch: [3][3270/5005] Time 0.197 (0.224) Data 0.046 (0.076) Loss 3.7708 (3.6082) Prec@1 26.562 (26.033) Prec@5 48.047 (49.826)
Epoch: [3][3280/5005] Time 0.200 (0.224) Data 0.047 (0.076) Loss 3.6627 (3.6083) Prec@1 26.172 (26.034) Prec@5 49.609 (49.826)
Epoch: [3][3290/5005] Time 0.209 (0.224) Data 0.040 (0.076) Loss 3.6469 (3.6080) Prec@1 26.953 (26.036) Prec@5 49.609 (49.830)
Epoch: [3][3300/5005] Time 0.231 (0.224) Data 0.147 (0.077) Loss 3.4267 (3.6077) Prec@1 29.297 (26.040) Prec@5 54.688 (49.838)
Epoch: [3][3310/5005] Time 0.259 (0.224) Data 0.174 (0.077) Loss 3.4340 (3.6076) Prec@1 29.297 (26.042) Prec@5 54.688 (49.842)
Epoch: [3][3320/5005] Time 0.212 (0.224) Data 0.041 (0.077) Loss 3.8628 (3.6075) Prec@1 24.219 (26.041) Prec@5 43.359 (49.844)
Epoch: [3][3330/5005] Time 0.196 (0.224) Data 0.048 (0.077) Loss 3.6436 (3.6073) Prec@1 23.438 (26.044) Prec@5 46.484 (49.848)
Epoch: [3][3340/5005] Time 0.204 (0.224) Data 0.056 (0.077) Loss 3.6076 (3.6071) Prec@1 26.953 (26.045) Prec@5 52.344 (49.854)
Epoch: [3][3350/5005] Time 0.202 (0.224) Data 0.039 (0.077) Loss 3.5520 (3.6070) Prec@1 28.906 (26.048) Prec@5 52.734 (49.858)
Epoch: [3][3360/5005] Time 0.205 (0.224) Data 0.048 (0.077) Loss 3.5757 (3.6069) Prec@1 29.688 (26.050) Prec@5 50.781 (49.862)
Epoch: [3][3370/5005] Time 0.202 (0.224) Data 0.051 (0.077) Loss 3.4983 (3.6067) Prec@1 24.609 (26.057) Prec@5 49.219 (49.866)
Epoch: [3][3380/5005] Time 0.202 (0.224) Data 0.039 (0.077) Loss 3.3979 (3.6063) Prec@1 27.734 (26.065) Prec@5 55.078 (49.873)
Epoch: [3][3390/5005] Time 0.189 (0.224) Data 0.044 (0.077) Loss 3.5020 (3.6064) Prec@1 25.391 (26.062) Prec@5 53.125 (49.871)
Epoch: [3][3400/5005] Time 0.191 (0.224) Data 0.065 (0.077) Loss 3.4066 (3.6064) Prec@1 27.344 (26.060) Prec@5 51.953 (49.871)
Epoch: [3][3410/5005] Time 0.201 (0.224) Data 0.043 (0.077) Loss 3.6152 (3.6063) Prec@1 26.562 (26.064) Prec@5 51.562 (49.877)
Epoch: [3][3420/5005] Time 0.199 (0.224) Data 0.048 (0.077) Loss 3.5851 (3.6062) Prec@1 31.250 (26.065) Prec@5 52.344 (49.876)
Epoch: [3][3430/5005] Time 0.204 (0.224) Data 0.050 (0.077) Loss 3.4368 (3.6061) Prec@1 28.516 (26.068) Prec@5 53.906 (49.880)
Epoch: [3][3440/5005] Time 0.204 (0.224) Data 0.051 (0.077) Loss 3.7166 (3.6059) Prec@1 24.609 (26.072) Prec@5 48.828 (49.883)
Epoch: [3][3450/5005] Time 0.202 (0.224) Data 0.045 (0.077) Loss 3.3150 (3.6056) Prec@1 30.078 (26.077) Prec@5 53.906 (49.889)
Epoch: [3][3460/5005] Time 0.198 (0.224) Data 0.048 (0.077) Loss 3.4740 (3.6056) Prec@1 29.297 (26.079) Prec@5 51.562 (49.891)
Epoch: [3][3470/5005] Time 0.200 (0.224) Data 0.061 (0.077) Loss 3.5100 (3.6053) Prec@1 26.562 (26.081) Prec@5 53.125 (49.897)
Epoch: [3][3480/5005] Time 0.205 (0.224) Data 0.054 (0.077) Loss 3.4867 (3.6049) Prec@1 28.125 (26.089) Prec@5 52.344 (49.905)
Epoch: [3][3490/5005] Time 0.202 (0.224) Data 0.046 (0.077) Loss 3.6933 (3.6048) Prec@1 22.656 (26.090) Prec@5 44.922 (49.902)
Epoch: [3][3500/5005] Time 0.205 (0.224) Data 0.041 (0.077) Loss 3.5072 (3.6047) Prec@1 26.172 (26.092) Prec@5 55.078 (49.910)
Epoch: [3][3510/5005] Time 0.203 (0.224) Data 0.047 (0.077) Loss 3.6574 (3.6046) Prec@1 23.047 (26.093) Prec@5 50.391 (49.914)
Epoch: [3][3520/5005] Time 0.204 (0.224) Data 0.101 (0.077) Loss 3.6175 (3.6044) Prec@1 24.219 (26.096) Prec@5 47.656 (49.917)
Epoch: [3][3530/5005] Time 0.193 (0.224) Data 0.047 (0.077) Loss 3.4583 (3.6041) Prec@1 30.469 (26.104) Prec@5 53.906 (49.926)
Epoch: [3][3540/5005] Time 0.198 (0.224) Data 0.046 (0.077) Loss 3.4856 (3.6039) Prec@1 29.297 (26.109) Prec@5 51.562 (49.932)
Epoch: [3][3550/5005] Time 0.245 (0.224) Data 0.162 (0.077) Loss 3.4155 (3.6036) Prec@1 28.906 (26.112) Prec@5 52.344 (49.934)
Epoch: [3][3560/5005] Time 0.202 (0.224) Data 0.052 (0.077) Loss 3.6902 (3.6036) Prec@1 25.000 (26.115) Prec@5 48.047 (49.935)
Epoch: [3][3570/5005] Time 0.201 (0.224) Data 0.080 (0.077) Loss 3.5454 (3.6034) Prec@1 27.344 (26.117) Prec@5 51.562 (49.936)
Epoch: [3][3580/5005] Time 0.204 (0.224) Data 0.041 (0.077) Loss 3.5872 (3.6033) Prec@1 29.297 (26.118) Prec@5 52.734 (49.937)
Epoch: [3][3590/5005] Time 0.194 (0.224) Data 0.043 (0.077) Loss 3.6366 (3.6031) Prec@1 24.609 (26.122) Prec@5 49.609 (49.942)
Epoch: [3][3600/5005] Time 0.364 (0.224) Data 0.277 (0.078) Loss 3.6879 (3.6029) Prec@1 27.344 (26.125) Prec@5 48.047 (49.943)
Epoch: [3][3610/5005] Time 0.202 (0.224) Data 0.039 (0.078) Loss 3.5537 (3.6028) Prec@1 28.516 (26.127) Prec@5 48.828 (49.943)
Epoch: [3][3620/5005] Time 0.206 (0.224) Data 0.044 (0.077) Loss 3.6347 (3.6025) Prec@1 22.656 (26.132) Prec@5 49.609 (49.949)
Epoch: [3][3630/5005] Time 0.204 (0.224) Data 0.043 (0.077) Loss 3.9587 (3.6024) Prec@1 22.656 (26.133) Prec@5 43.750 (49.954)
Epoch: [3][3640/5005] Time 0.198 (0.224) Data 0.049 (0.077) Loss 3.5894 (3.6022) Prec@1 28.125 (26.136) Prec@5 52.344 (49.956)
Epoch: [3][3650/5005] Time 0.207 (0.224) Data 0.045 (0.077) Loss 3.4661 (3.6022) Prec@1 27.344 (26.132) Prec@5 53.906 (49.955)
Epoch: [3][3660/5005] Time 0.205 (0.224) Data 0.043 (0.077) Loss 3.6490 (3.6019) Prec@1 23.438 (26.134) Prec@5 49.609 (49.959)
Epoch: [3][3670/5005] Time 0.205 (0.224) Data 0.049 (0.078) Loss 3.6280 (3.6018) Prec@1 27.344 (26.138) Prec@5 50.000 (49.963)
Epoch: [3][3680/5005] Time 0.203 (0.224) Data 0.047 (0.078) Loss 3.6515 (3.6019) Prec@1 21.484 (26.134) Prec@5 44.922 (49.959)
Epoch: [3][3690/5005] Time 0.198 (0.224) Data 0.047 (0.078) Loss 3.3816 (3.6017) Prec@1 29.688 (26.137) Prec@5 53.125 (49.962)
Epoch: [3][3700/5005] Time 0.199 (0.224) Data 0.104 (0.078) Loss 3.7087 (3.6016) Prec@1 21.875 (26.132) Prec@5 45.312 (49.962)
Epoch: [3][3710/5005] Time 0.204 (0.224) Data 0.053 (0.078) Loss 3.5051 (3.6016) Prec@1 27.344 (26.134) Prec@5 54.688 (49.966)
Epoch: [3][3720/5005] Time 0.203 (0.224) Data 0.046 (0.078) Loss 3.7109 (3.6015) Prec@1 27.344 (26.136) Prec@5 51.562 (49.969)
Epoch: [3][3730/5005] Time 0.196 (0.224) Data 0.109 (0.078) Loss 3.3683 (3.6013) Prec@1 31.641 (26.138) Prec@5 55.078 (49.970)
Epoch: [3][3740/5005] Time 0.692 (0.224) Data 0.615 (0.078) Loss 3.5265 (3.6009) Prec@1 28.125 (26.141) Prec@5 52.344 (49.979)
Epoch: [3][3750/5005] Time 0.200 (0.224) Data 0.043 (0.078) Loss 3.3675 (3.6008) Prec@1 31.641 (26.147) Prec@5 53.125 (49.983)
Epoch: [3][3760/5005] Time 0.204 (0.224) Data 0.040 (0.078) Loss 3.5926 (3.6008) Prec@1 26.562 (26.145) Prec@5 49.219 (49.979)
Epoch: [3][3770/5005] Time 0.344 (0.224) Data 0.259 (0.078) Loss 3.7018 (3.6006) Prec@1 25.000 (26.146) Prec@5 46.875 (49.981)
Epoch: [3][3780/5005] Time 0.357 (0.224) Data 0.268 (0.078) Loss 3.6513 (3.6004) Prec@1 22.656 (26.147) Prec@5 52.734 (49.986)
Epoch: [3][3790/5005] Time 0.194 (0.224) Data 0.049 (0.078) Loss 3.7074 (3.6004) Prec@1 23.828 (26.145) Prec@5 47.266 (49.987)
Epoch: [3][3800/5005] Time 0.200 (0.224) Data 0.045 (0.078) Loss 3.3835 (3.6004) Prec@1 30.469 (26.145) Prec@5 55.078 (49.988)
Epoch: [3][3810/5005] Time 0.186 (0.224) Data 0.053 (0.078) Loss 3.4680 (3.6004) Prec@1 28.516 (26.144) Prec@5 51.953 (49.988)
Epoch: [3][3820/5005] Time 0.217 (0.224) Data 0.042 (0.078) Loss 3.4914 (3.6002) Prec@1 28.125 (26.146) Prec@5 48.047 (49.991)
Epoch: [3][3830/5005] Time 0.205 (0.224) Data 0.045 (0.078) Loss 3.6776 (3.6000) Prec@1 25.781 (26.153) Prec@5 47.656 (49.995)
Epoch: [3][3840/5005] Time 0.205 (0.224) Data 0.048 (0.078) Loss 3.8860 (3.5999) Prec@1 22.266 (26.154) Prec@5 42.578 (49.994)
Epoch: [3][3850/5005] Time 0.203 (0.224) Data 0.040 (0.078) Loss 3.5005 (3.5998) Prec@1 26.172 (26.154) Prec@5 48.047 (49.995)
Epoch: [3][3860/5005] Time 0.193 (0.224) Data 0.055 (0.078) Loss 3.3365 (3.5997) Prec@1 32.422 (26.157) Prec@5 57.422 (49.999)
Epoch: [3][3870/5005] Time 0.318 (0.224) Data 0.233 (0.078) Loss 3.6805 (3.5996) Prec@1 23.438 (26.156) Prec@5 48.438 (49.997)
Epoch: [3][3880/5005] Time 0.201 (0.224) Data 0.039 (0.078) Loss 3.5468 (3.5996) Prec@1 26.172 (26.156) Prec@5 53.125 (49.997)
Epoch: [3][3890/5005] Time 0.197 (0.224) Data 0.050 (0.078) Loss 3.6323 (3.5995) Prec@1 25.391 (26.158) Prec@5 48.438 (49.997)
Epoch: [3][3900/5005] Time 0.206 (0.224) Data 0.046 (0.078) Loss 3.8707 (3.5994) Prec@1 21.094 (26.159) Prec@5 46.484 (49.999)
Epoch: [3][3910/5005] Time 0.216 (0.224) Data 0.054 (0.078) Loss 3.5242 (3.5993) Prec@1 22.656 (26.161) Prec@5 50.391 (50.002)
Epoch: [3][3920/5005] Time 0.205 (0.224) Data 0.047 (0.078) Loss 3.5614 (3.5991) Prec@1 24.609 (26.162) Prec@5 48.438 (50.007)
Epoch: [3][3930/5005] Time 0.203 (0.224) Data 0.046 (0.078) Loss 3.2645 (3.5988) Prec@1 28.516 (26.166) Prec@5 52.734 (50.009)
Epoch: [3][3940/5005] Time 0.204 (0.224) Data 0.046 (0.078) Loss 3.4514 (3.5987) Prec@1 30.469 (26.170) Prec@5 53.906 (50.011)
Epoch: [3][3950/5005] Time 0.199 (0.224) Data 0.051 (0.078) Loss 3.5255 (3.5983) Prec@1 25.000 (26.175) Prec@5 50.391 (50.017)
Epoch: [3][3960/5005] Time 0.196 (0.224) Data 0.048 (0.078) Loss 3.1768 (3.5981) Prec@1 30.078 (26.174) Prec@5 60.547 (50.023)
Epoch: [3][3970/5005] Time 0.356 (0.224) Data 0.273 (0.078) Loss 3.4686 (3.5979) Prec@1 26.172 (26.176) Prec@5 57.031 (50.027)
Epoch: [3][3980/5005] Time 0.207 (0.224) Data 0.044 (0.078) Loss 3.3540 (3.5977) Prec@1 30.859 (26.178) Prec@5 54.688 (50.031)
Epoch: [3][3990/5005] Time 0.205 (0.224) Data 0.040 (0.078) Loss 3.6783 (3.5977) Prec@1 26.562 (26.178) Prec@5 48.828 (50.032)
Epoch: [3][4000/5005] Time 0.207 (0.224) Data 0.042 (0.078) Loss 3.5005 (3.5975) Prec@1 21.484 (26.177) Prec@5 50.781 (50.033)
Epoch: [3][4010/5005] Time 0.195 (0.224) Data 0.068 (0.078) Loss 3.6681 (3.5973) Prec@1 21.875 (26.179) Prec@5 47.656 (50.037)
Epoch: [3][4020/5005] Time 0.199 (0.224) Data 0.116 (0.078) Loss 3.6840 (3.5972) Prec@1 26.562 (26.180) Prec@5 49.219 (50.037)
Epoch: [3][4030/5005] Time 0.196 (0.224) Data 0.046 (0.078) Loss 3.6458 (3.5973) Prec@1 25.781 (26.178) Prec@5 51.172 (50.035)
Epoch: [3][4040/5005] Time 0.197 (0.224) Data 0.112 (0.078) Loss 3.5068 (3.5973) Prec@1 28.906 (26.180) Prec@5 51.172 (50.035)
Epoch: [3][4050/5005] Time 0.203 (0.224) Data 0.044 (0.078) Loss 3.7350 (3.5971) Prec@1 23.438 (26.182) Prec@5 46.094 (50.038)
Epoch: [3][4060/5005] Time 0.195 (0.224) Data 0.090 (0.078) Loss 3.5034 (3.5970) Prec@1 24.609 (26.180) Prec@5 50.391 (50.038)
Epoch: [3][4070/5005] Time 0.206 (0.224) Data 0.049 (0.078) Loss 3.5641 (3.5969) Prec@1 27.344 (26.179) Prec@5 51.172 (50.040)
Epoch: [3][4080/5005] Time 0.202 (0.224) Data 0.044 (0.078) Loss 3.4391 (3.5967) Prec@1 27.734 (26.181) Prec@5 53.125 (50.042)
Epoch: [3][4090/5005] Time 0.198 (0.224) Data 0.041 (0.078) Loss 3.5389 (3.5965) Prec@1 28.516 (26.181) Prec@5 51.562 (50.044)
Epoch: [3][4100/5005] Time 0.198 (0.224) Data 0.108 (0.078) Loss 3.5730 (3.5964) Prec@1 26.953 (26.182) Prec@5 51.562 (50.048)
Epoch: [3][4110/5005] Time 0.212 (0.224) Data 0.041 (0.078) Loss 3.8644 (3.5962) Prec@1 21.094 (26.182) Prec@5 45.703 (50.050)
Epoch: [3][4120/5005] Time 0.206 (0.224) Data 0.040 (0.078) Loss 3.7242 (3.5959) Prec@1 25.391 (26.187) Prec@5 48.047 (50.054)
Epoch: [3][4130/5005] Time 0.206 (0.224) Data 0.044 (0.078) Loss 3.8216 (3.5958) Prec@1 27.734 (26.190) Prec@5 44.922 (50.056)
Epoch: [3][4140/5005] Time 0.195 (0.224) Data 0.113 (0.078) Loss 3.6528 (3.5957) Prec@1 27.344 (26.194) Prec@5 48.047 (50.059)
Epoch: [3][4150/5005] Time 0.210 (0.224) Data 0.039 (0.078) Loss 3.7394 (3.5956) Prec@1 21.094 (26.194) Prec@5 47.266 (50.062)
Epoch: [3][4160/5005] Time 0.206 (0.224) Data 0.047 (0.078) Loss 3.4860 (3.5955) Prec@1 30.859 (26.196) Prec@5 52.734 (50.064)
Epoch: [3][4170/5005] Time 0.585 (0.224) Data 0.504 (0.078) Loss 3.3122 (3.5952) Prec@1 29.688 (26.201) Prec@5 53.125 (50.070)
Epoch: [3][4180/5005] Time 0.206 (0.224) Data 0.050 (0.078) Loss 3.5000 (3.5950) Prec@1 30.078 (26.204) Prec@5 55.859 (50.073)
Epoch: [3][4190/5005] Time 0.195 (0.224) Data 0.046 (0.078) Loss 3.4864 (3.5949) Prec@1 26.562 (26.206) Prec@5 52.734 (50.075)
Epoch: [3][4200/5005] Time 0.383 (0.224) Data 0.306 (0.078) Loss 3.2755 (3.5948) Prec@1 30.469 (26.209) Prec@5 55.859 (50.077)
Epoch: [3][4210/5005] Time 0.206 (0.224) Data 0.042 (0.078) Loss 3.4556 (3.5947) Prec@1 25.391 (26.210) Prec@5 51.172 (50.080)
Epoch: [3][4220/5005] Time 0.286 (0.224) Data 0.208 (0.078) Loss 3.6801 (3.5947) Prec@1 21.484 (26.211) Prec@5 48.828 (50.080)
Epoch: [3][4230/5005] Time 0.201 (0.224) Data 0.040 (0.078) Loss 3.5410 (3.5946) Prec@1 26.172 (26.211) Prec@5 48.438 (50.079)
Epoch: [3][4240/5005] Time 0.197 (0.224) Data 0.121 (0.078) Loss 3.3815 (3.5945) Prec@1 25.781 (26.212) Prec@5 53.516 (50.081)
Epoch: [3][4250/5005] Time 0.204 (0.224) Data 0.043 (0.078) Loss 3.4781 (3.5942) Prec@1 26.172 (26.218) Prec@5 55.859 (50.087)
Epoch: [3][4260/5005] Time 0.209 (0.224) Data 0.045 (0.078) Loss 3.6254 (3.5942) Prec@1 25.391 (26.221) Prec@5 46.094 (50.088)
Epoch: [3][4270/5005] Time 0.188 (0.224) Data 0.060 (0.078) Loss 3.8888 (3.5943) Prec@1 21.875 (26.221) Prec@5 46.094 (50.089)
Epoch: [3][4280/5005] Time 0.194 (0.224) Data 0.087 (0.078) Loss 3.5655 (3.5942) Prec@1 25.000 (26.221) Prec@5 48.828 (50.091)
Epoch: [3][4290/5005] Time 0.197 (0.224) Data 0.051 (0.078) Loss 3.8559 (3.5941) Prec@1 28.125 (26.223) Prec@5 44.922 (50.091)
Epoch: [3][4300/5005] Time 0.212 (0.224) Data 0.046 (0.078) Loss 3.4938 (3.5939) Prec@1 23.828 (26.226) Prec@5 48.828 (50.094)
Epoch: [3][4310/5005] Time 0.202 (0.224) Data 0.042 (0.078) Loss 3.3875 (3.5937) Prec@1 29.297 (26.230) Prec@5 51.172 (50.098)
Epoch: [3][4320/5005] Time 0.483 (0.224) Data 0.395 (0.078) Loss 3.5114 (3.5936) Prec@1 27.344 (26.233) Prec@5 54.688 (50.098)
Epoch: [3][4330/5005] Time 0.200 (0.224) Data 0.051 (0.078) Loss 3.4703 (3.5935) Prec@1 27.344 (26.236) Prec@5 52.734 (50.102)
Epoch: [3][4340/5005] Time 0.205 (0.224) Data 0.047 (0.078) Loss 3.5420 (3.5934) Prec@1 23.828 (26.237) Prec@5 51.562 (50.105)
Epoch: [3][4350/5005] Time 0.206 (0.224) Data 0.062 (0.079) Loss 3.4789 (3.5933) Prec@1 32.031 (26.241) Prec@5 52.344 (50.108)
Epoch: [3][4360/5005] Time 0.212 (0.224) Data 0.122 (0.079) Loss 3.5309 (3.5932) Prec@1 23.828 (26.241) Prec@5 50.391 (50.108)
Epoch: [3][4370/5005] Time 0.192 (0.224) Data 0.101 (0.079) Loss 3.4294 (3.5929) Prec@1 30.469 (26.247) Prec@5 54.297 (50.112)
Epoch: [3][4380/5005] Time 0.199 (0.224) Data 0.042 (0.079) Loss 3.5624 (3.5927) Prec@1 27.734 (26.250) Prec@5 54.297 (50.118)
Epoch: [3][4390/5005] Time 0.204 (0.224) Data 0.044 (0.079) Loss 3.6062 (3.5923) Prec@1 28.516 (26.259) Prec@5 49.609 (50.128)
Epoch: [3][4400/5005] Time 0.202 (0.224) Data 0.046 (0.079) Loss 3.4686 (3.5921) Prec@1 30.078 (26.264) Prec@5 54.688 (50.131)
Epoch: [3][4410/5005] Time 0.208 (0.224) Data 0.046 (0.079) Loss 3.5790 (3.5920) Prec@1 25.000 (26.263) Prec@5 53.516 (50.132)
Epoch: [3][4420/5005] Time 0.191 (0.224) Data 0.093 (0.079) Loss 3.1503 (3.5918) Prec@1 33.594 (26.264) Prec@5 56.641 (50.135)
Epoch: [3][4430/5005] Time 0.316 (0.224) Data 0.234 (0.079) Loss 3.6228 (3.5913) Prec@1 22.656 (26.270) Prec@5 46.484 (50.144)
Epoch: [3][4440/5005] Time 0.195 (0.224) Data 0.048 (0.079) Loss 3.5820 (3.5911) Prec@1 26.953 (26.275) Prec@5 52.344 (50.151)
Epoch: [3][4450/5005] Time 0.696 (0.224) Data 0.616 (0.079) Loss 3.4504 (3.5909) Prec@1 29.297 (26.277) Prec@5 52.344 (50.154)
Epoch: [3][4460/5005] Time 0.211 (0.224) Data 0.044 (0.079) Loss 3.5494 (3.5907) Prec@1 27.344 (26.280) Prec@5 51.172 (50.159)
Epoch: [3][4470/5005] Time 0.199 (0.224) Data 0.045 (0.079) Loss 3.4742 (3.5906) Prec@1 27.344 (26.282) Prec@5 48.828 (50.162)
Epoch: [3][4480/5005] Time 0.207 (0.225) Data 0.046 (0.079) Loss 3.3758 (3.5906) Prec@1 33.984 (26.285) Prec@5 52.734 (50.162)
Epoch: [3][4490/5005] Time 0.199 (0.225) Data 0.040 (0.079) Loss 3.5405 (3.5905) Prec@1 28.906 (26.287) Prec@5 53.125 (50.163)
Epoch: [3][4500/5005] Time 0.238 (0.225) Data 0.152 (0.079) Loss 3.4326 (3.5903) Prec@1 26.953 (26.287) Prec@5 53.516 (50.168)
Epoch: [3][4510/5005] Time 0.195 (0.225) Data 0.043 (0.079) Loss 3.5139 (3.5903) Prec@1 29.297 (26.287) Prec@5 49.609 (50.168)
Epoch: [3][4520/5005] Time 0.204 (0.225) Data 0.040 (0.079) Loss 3.4821 (3.5901) Prec@1 26.562 (26.289) Prec@5 53.516 (50.173)
Epoch: [3][4530/5005] Time 0.189 (0.225) Data 0.041 (0.079) Loss 3.3870 (3.5900) Prec@1 29.297 (26.291) Prec@5 51.172 (50.173)
Epoch: [3][4540/5005] Time 0.200 (0.225) Data 0.046 (0.079) Loss 3.6893 (3.5901) Prec@1 24.609 (26.291) Prec@5 50.391 (50.171)
Epoch: [3][4550/5005] Time 0.209 (0.225) Data 0.046 (0.079) Loss 3.6931 (3.5900) Prec@1 28.516 (26.290) Prec@5 50.000 (50.173)
Epoch: [3][4560/5005] Time 0.202 (0.225) Data 0.040 (0.079) Loss 3.5118 (3.5898) Prec@1 28.516 (26.292) Prec@5 49.219 (50.176)
Epoch: [3][4570/5005] Time 0.203 (0.224) Data 0.049 (0.079) Loss 3.6893 (3.5897) Prec@1 28.125 (26.294) Prec@5 49.609 (50.179)
Epoch: [3][4580/5005] Time 0.199 (0.224) Data 0.046 (0.079) Loss 3.5302 (3.5895) Prec@1 24.219 (26.295) Prec@5 52.344 (50.185)
Epoch: [3][4590/5005] Time 0.214 (0.224) Data 0.046 (0.079) Loss 3.4166 (3.5894) Prec@1 27.344 (26.297) Prec@5 53.516 (50.188)
Epoch: [3][4600/5005] Time 0.205 (0.225) Data 0.043 (0.079) Loss 3.2877 (3.5894) Prec@1 28.125 (26.296) Prec@5 56.641 (50.188)
Epoch: [3][4610/5005] Time 0.197 (0.224) Data 0.044 (0.079) Loss 3.2401 (3.5892) Prec@1 26.562 (26.298) Prec@5 57.812 (50.192)
Epoch: [3][4620/5005] Time 0.208 (0.225) Data 0.039 (0.079) Loss 3.4091 (3.5890) Prec@1 31.250 (26.300) Prec@5 54.688 (50.196)
Epoch: [3][4630/5005] Time 0.195 (0.224) Data 0.045 (0.079) Loss 3.2939 (3.5888) Prec@1 30.859 (26.300) Prec@5 54.688 (50.197)
Epoch: [3][4640/5005] Time 0.209 (0.224) Data 0.083 (0.079) Loss 3.5882 (3.5886) Prec@1 28.125 (26.302) Prec@5 53.516 (50.202)
Epoch: [3][4650/5005] Time 0.210 (0.224) Data 0.046 (0.079) Loss 3.5352 (3.5885) Prec@1 25.391 (26.306) Prec@5 52.344 (50.204)
Epoch: [3][4660/5005] Time 0.196 (0.224) Data 0.063 (0.079) Loss 3.7622 (3.5884) Prec@1 28.125 (26.308) Prec@5 46.484 (50.206)
Epoch: [3][4670/5005] Time 0.222 (0.224) Data 0.141 (0.079) Loss 3.4397 (3.5882) Prec@1 24.609 (26.311) Prec@5 49.609 (50.208)
Epoch: [3][4680/5005] Time 0.194 (0.224) Data 0.060 (0.079) Loss 3.4163 (3.5881) Prec@1 26.562 (26.311) Prec@5 53.125 (50.208)
Epoch: [3][4690/5005] Time 0.207 (0.224) Data 0.045 (0.079) Loss 3.6141 (3.5879) Prec@1 23.438 (26.312) Prec@5 50.391 (50.209)
Epoch: [3][4700/5005] Time 0.202 (0.224) Data 0.043 (0.079) Loss 3.4791 (3.5878) Prec@1 26.953 (26.316) Prec@5 53.125 (50.213)
Epoch: [3][4710/5005] Time 0.187 (0.224) Data 0.059 (0.079) Loss 3.4229 (3.5876) Prec@1 26.953 (26.321) Prec@5 53.125 (50.218)
Epoch: [3][4720/5005] Time 0.212 (0.224) Data 0.129 (0.079) Loss 3.4747 (3.5875) Prec@1 26.562 (26.322) Prec@5 54.688 (50.220)
Epoch: [3][4730/5005] Time 0.201 (0.224) Data 0.044 (0.079) Loss 3.3928 (3.5875) Prec@1 25.391 (26.323) Prec@5 52.344 (50.219)
Epoch: [3][4740/5005] Time 0.214 (0.224) Data 0.050 (0.079) Loss 3.4968 (3.5873) Prec@1 22.656 (26.323) Prec@5 51.172 (50.224)
Epoch: [3][4750/5005] Time 0.198 (0.224) Data 0.045 (0.079) Loss 3.5560 (3.5872) Prec@1 26.953 (26.327) Prec@5 50.000 (50.228)
Epoch: [3][4760/5005] Time 0.204 (0.224) Data 0.043 (0.079) Loss 3.9401 (3.5870) Prec@1 20.312 (26.327) Prec@5 42.188 (50.230)
Epoch: [3][4770/5005] Time 0.253 (0.224) Data 0.168 (0.079) Loss 3.4593 (3.5868) Prec@1 27.344 (26.329) Prec@5 51.172 (50.234)
Epoch: [3][4780/5005] Time 0.215 (0.224) Data 0.047 (0.079) Loss 3.6152 (3.5868) Prec@1 27.344 (26.332) Prec@5 49.219 (50.237)
Epoch: [3][4790/5005] Time 0.195 (0.224) Data 0.049 (0.079) Loss 3.4981 (3.5866) Prec@1 29.297 (26.336) Prec@5 51.953 (50.242)
Epoch: [3][4800/5005] Time 0.200 (0.224) Data 0.070 (0.079) Loss 3.7139 (3.5864) Prec@1 23.828 (26.336) Prec@5 50.391 (50.245)
Epoch: [3][4810/5005] Time 0.201 (0.224) Data 0.049 (0.079) Loss 3.6339 (3.5862) Prec@1 24.219 (26.336) Prec@5 47.266 (50.248)
Epoch: [3][4820/5005] Time 0.203 (0.225) Data 0.046 (0.079) Loss 3.7668 (3.5860) Prec@1 24.609 (26.342) Prec@5 48.047 (50.255)
Epoch: [3][4830/5005] Time 0.199 (0.224) Data 0.052 (0.079) Loss 3.4893 (3.5856) Prec@1 27.734 (26.347) Prec@5 49.609 (50.259)
Epoch: [3][4840/5005] Time 0.211 (0.224) Data 0.044 (0.079) Loss 3.2605 (3.5856) Prec@1 29.688 (26.346) Prec@5 53.516 (50.261)
Epoch: [3][4850/5005] Time 0.199 (0.224) Data 0.057 (0.079) Loss 3.7481 (3.5857) Prec@1 23.438 (26.344) Prec@5 46.484 (50.258)
Epoch: [3][4860/5005] Time 0.192 (0.224) Data 0.055 (0.079) Loss 3.6109 (3.5855) Prec@1 22.656 (26.349) Prec@5 51.562 (50.263)
Epoch: [3][4870/5005] Time 0.193 (0.224) Data 0.059 (0.079) Loss 3.3788 (3.5854) Prec@1 28.906 (26.350) Prec@5 51.953 (50.265)
Epoch: [3][4880/5005] Time 0.210 (0.224) Data 0.048 (0.079) Loss 3.3199 (3.5851) Prec@1 28.125 (26.352) Prec@5 53.906 (50.272)
Epoch: [3][4890/5005] Time 0.268 (0.224) Data 0.186 (0.079) Loss 3.4150 (3.5849) Prec@1 30.078 (26.356) Prec@5 53.516 (50.275)
Epoch: [3][4900/5005] Time 0.334 (0.224) Data 0.254 (0.079) Loss 3.3957 (3.5847) Prec@1 25.000 (26.358) Prec@5 54.297 (50.281)
Epoch: [3][4910/5005] Time 0.195 (0.224) Data 0.042 (0.079) Loss 3.4296 (3.5843) Prec@1 27.734 (26.363) Prec@5 51.953 (50.288)
Epoch: [3][4920/5005] Time 0.215 (0.224) Data 0.041 (0.079) Loss 3.4955 (3.5841) Prec@1 24.609 (26.365) Prec@5 50.391 (50.292)
Epoch: [3][4930/5005] Time 0.202 (0.224) Data 0.069 (0.079) Loss 3.4952 (3.5839) Prec@1 29.688 (26.368) Prec@5 53.516 (50.296)
Epoch: [3][4940/5005] Time 0.301 (0.224) Data 0.220 (0.079) Loss 3.4134 (3.5838) Prec@1 29.688 (26.368) Prec@5 53.516 (50.296)
Epoch: [3][4950/5005] Time 0.199 (0.224) Data 0.066 (0.079) Loss 3.2673 (3.5838) Prec@1 28.125 (26.369) Prec@5 54.297 (50.296)
Epoch: [3][4960/5005] Time 0.205 (0.224) Data 0.043 (0.079) Loss 3.7193 (3.5837) Prec@1 24.219 (26.371) Prec@5 50.000 (50.297)
Epoch: [3][4970/5005] Time 0.191 (0.224) Data 0.099 (0.079) Loss 3.6265 (3.5836) Prec@1 26.562 (26.370) Prec@5 47.656 (50.296)
Epoch: [3][4980/5005] Time 0.200 (0.224) Data 0.039 (0.079) Loss 3.6383 (3.5834) Prec@1 24.609 (26.371) Prec@5 53.516 (50.302)
Epoch: [3][4990/5005] Time 0.205 (0.225) Data 0.024 (0.079) Loss 3.6128 (3.5832) Prec@1 21.875 (26.373) Prec@5 47.656 (50.305)
Epoch: [3][5000/5005] Time 0.203 (0.225) Data 0.025 (0.079) Loss 3.5308 (3.5831) Prec@1 27.734 (26.374) Prec@5 52.344 (50.307)
Test: [0/196] Time 2.017 (2.017) Loss 3.7326 (3.7326) Prec@1 25.000 (25.000) Prec@5 48.828 (48.828)
Test: [10/196] Time 0.043 (0.390) Loss 3.7713 (3.8018) Prec@1 27.734 (23.082) Prec@5 48.438 (47.266)
Test: [20/196] Time 0.042 (0.295) Loss 3.6728 (3.8006) Prec@1 24.219 (22.917) Prec@5 47.656 (46.968)
Test: [30/196] Time 0.044 (0.267) Loss 3.6865 (3.8134) Prec@1 21.484 (23.072) Prec@5 49.219 (46.497)
Test: [40/196] Time 1.228 (0.276) Loss 3.5777 (3.8162) Prec@1 25.781 (23.133) Prec@5 51.562 (46.399)
Test: [50/196] Time 0.044 (0.266) Loss 3.8454 (3.8162) Prec@1 22.656 (23.231) Prec@5 48.828 (46.431)
Test: [60/196] Time 0.043 (0.255) Loss 3.6396 (3.8013) Prec@1 25.391 (23.508) Prec@5 48.438 (46.632)
Test: [70/196] Time 0.043 (0.245) Loss 3.7648 (3.7957) Prec@1 19.141 (23.498) Prec@5 43.359 (46.770)
Test: [80/196] Time 0.962 (0.249) Loss 3.5940 (3.7979) Prec@1 30.078 (23.626) Prec@5 52.734 (46.697)
Test: [90/196] Time 0.088 (0.242) Loss 3.7121 (3.8003) Prec@1 26.953 (23.674) Prec@5 50.391 (46.570)
Test: [100/196] Time 0.051 (0.240) Loss 3.8376 (3.7998) Prec@1 25.781 (23.724) Prec@5 48.438 (46.651)
Test: [110/196] Time 0.281 (0.236) Loss 4.0177 (3.8023) Prec@1 22.266 (23.687) Prec@5 44.141 (46.618)
Test: [120/196] Time 1.021 (0.240) Loss 3.7548 (3.7988) Prec@1 23.438 (23.615) Prec@5 49.609 (46.717)
Test: [130/196] Time 0.043 (0.236) Loss 3.5413 (3.7972) Prec@1 26.953 (23.679) Prec@5 50.781 (46.771)
Test: [140/196] Time 0.130 (0.236) Loss 3.6939 (3.7969) Prec@1 25.391 (23.654) Prec@5 50.391 (46.734)
Test: [150/196] Time 0.044 (0.234) Loss 3.5992 (3.7925) Prec@1 27.344 (23.810) Prec@5 51.172 (46.813)
Test: [160/196] Time 0.694 (0.236) Loss 3.6792 (3.7904) Prec@1 26.172 (23.872) Prec@5 50.781 (46.853)
Test: [170/196] Time 0.042 (0.234) Loss 3.6653 (3.7910) Prec@1 25.000 (23.913) Prec@5 48.047 (46.861)
Test: [180/196] Time 0.384 (0.234) Loss 3.9089 (3.7962) Prec@1 21.484 (23.856) Prec@5 44.141 (46.752)
Test: [190/196] Time 0.096 (0.233) Loss 3.8538 (3.7957) Prec@1 23.438 (23.871) Prec@5 42.578 (46.730)
* Prec@1 23.866 Prec@5 46.734
Learning rate: 0.001
Epoch: [4][0/5005] Time 2.240 (2.240) Data 2.138 (2.138) Loss 3.5295 (3.5295) Prec@1 25.781 (25.781) Prec@5 53.516 (53.516)
Epoch: [4][10/5005] Time 0.202 (0.386) Data 0.050 (0.247) Loss 3.4023 (3.5110) Prec@1 26.172 (25.888) Prec@5 55.469 (52.024)
Epoch: [4][20/5005] Time 0.198 (0.297) Data 0.049 (0.153) Loss 3.6560 (3.5195) Prec@1 24.219 (25.967) Prec@5 48.438 (51.730)
Epoch: [4][30/5005] Time 0.205 (0.266) Data 0.046 (0.119) Loss 3.4973 (3.4948) Prec@1 27.734 (26.865) Prec@5 51.953 (52.117)
Epoch: [4][40/5005] Time 0.195 (0.250) Data 0.057 (0.103) Loss 3.3840 (3.4944) Prec@1 26.172 (26.905) Prec@5 53.906 (52.172)
Epoch: [4][50/5005] Time 0.201 (0.240) Data 0.048 (0.093) Loss 3.4660 (3.4880) Prec@1 29.688 (27.129) Prec@5 50.000 (52.252)
Epoch: [4][60/5005] Time 0.199 (0.233) Data 0.056 (0.086) Loss 3.5112 (3.4894) Prec@1 23.828 (27.120) Prec@5 49.219 (52.177)
Epoch: [4][70/5005] Time 0.208 (0.229) Data 0.046 (0.081) Loss 3.2883 (3.5008) Prec@1 30.078 (27.030) Prec@5 54.688 (51.893)
Epoch: [4][80/5005] Time 0.208 (0.225) Data 0.040 (0.076) Loss 3.3359 (3.4968) Prec@1 28.125 (27.083) Prec@5 56.250 (51.861)
Epoch: [4][90/5005] Time 0.205 (0.223) Data 0.045 (0.073) Loss 3.6179 (3.4961) Prec@1 30.859 (27.146) Prec@5 50.000 (51.923)
Epoch: [4][100/5005] Time 0.197 (0.221) Data 0.039 (0.070) Loss 3.4390 (3.4958) Prec@1 28.125 (27.235) Prec@5 54.297 (51.949)
Epoch: [4][110/5005] Time 0.209 (0.219) Data 0.040 (0.068) Loss 3.5714 (3.4974) Prec@1 29.688 (27.389) Prec@5 51.172 (51.985)
Epoch: [4][120/5005] Time 0.205 (0.217) Data 0.042 (0.066) Loss 3.6383 (3.5000) Prec@1 26.562 (27.447) Prec@5 47.266 (51.956)
Epoch: [4][130/5005] Time 0.201 (0.222) Data 0.041 (0.064) Loss 3.4971 (3.4971) Prec@1 29.688 (27.535) Prec@5 50.781 (52.022)
Epoch: [4][140/5005] Time 0.212 (0.220) Data 0.042 (0.063) Loss 3.5361 (3.4977) Prec@1 26.172 (27.499) Prec@5 50.391 (52.003)
Epoch: [4][150/5005] Time 0.325 (0.220) Data 0.243 (0.063) Loss 3.5104 (3.5011) Prec@1 26.172 (27.465) Prec@5 52.734 (51.969)
Epoch: [4][160/5005] Time 0.195 (0.221) Data 0.050 (0.065) Loss 3.3890 (3.4995) Prec@1 28.906 (27.540) Prec@5 53.906 (51.982)
Epoch: [4][170/5005] Time 0.208 (0.222) Data 0.043 (0.067) Loss 3.6594 (3.4972) Prec@1 25.391 (27.570) Prec@5 50.000 (52.008)
Epoch: [4][180/5005] Time 0.199 (0.223) Data 0.044 (0.068) Loss 3.7877 (3.4974) Prec@1 21.875 (27.566) Prec@5 44.531 (52.007)
Epoch: [4][190/5005] Time 0.366 (0.224) Data 0.274 (0.071) Loss 3.5999 (3.5026) Prec@1 25.781 (27.548) Prec@5 49.609 (51.867)
Epoch: [4][200/5005] Time 0.209 (0.225) Data 0.045 (0.072) Loss 3.7833 (3.5017) Prec@1 21.875 (27.552) Prec@5 45.703 (51.844)
Epoch: [4][210/5005] Time 0.206 (0.227) Data 0.045 (0.074) Loss 3.3864 (3.5010) Prec@1 30.859 (27.549) Prec@5 53.906 (51.866)
Epoch: [4][220/5005] Time 0.522 (0.228) Data 0.439 (0.074) Loss 3.5677 (3.5017) Prec@1 26.172 (27.519) Prec@5 47.656 (51.859)
Epoch: [4][230/5005] Time 0.208 (0.227) Data 0.067 (0.073) Loss 3.5147 (3.5006) Prec@1 31.250 (27.560) Prec@5 47.656 (51.850)
Epoch: [4][240/5005] Time 0.211 (0.226) Data 0.082 (0.073) Loss 3.4050 (3.5009) Prec@1 29.688 (27.537) Prec@5 53.516 (51.817)
Epoch: [4][250/5005] Time 0.214 (0.226) Data 0.049 (0.073) Loss 3.8491 (3.5014) Prec@1 22.656 (27.580) Prec@5 46.484 (51.805)
Epoch: [4][260/5005] Time 0.206 (0.227) Data 0.047 (0.074) Loss 3.3059 (3.4996) Prec@1 25.781 (27.585) Prec@5 55.859 (51.832)
Epoch: [4][270/5005] Time 0.205 (0.228) Data 0.052 (0.076) Loss 3.5239 (3.4982) Prec@1 26.172 (27.579) Prec@5 55.469 (51.864)
Epoch: [4][280/5005] Time 0.195 (0.228) Data 0.063 (0.077) Loss 3.8478 (3.5012) Prec@1 24.609 (27.530) Prec@5 44.922 (51.824)
Epoch: [4][290/5005] Time 0.203 (0.229) Data 0.045 (0.078) Loss 3.4698 (3.5042) Prec@1 28.516 (27.498) Prec@5 50.391 (51.756)
Epoch: [4][300/5005] Time 0.224 (0.229) Data 0.131 (0.078) Loss 3.3129 (3.5037) Prec@1 27.734 (27.501) Prec@5 57.422 (51.765)
Epoch: [4][310/5005] Time 0.253 (0.229) Data 0.166 (0.079) Loss 3.2872 (3.5006) Prec@1 29.688 (27.527) Prec@5 58.984 (51.848)
Epoch: [4][320/5005] Time 0.192 (0.229) Data 0.065 (0.080) Loss 3.7327 (3.5019) Prec@1 24.609 (27.492) Prec@5 47.656 (51.823)
Epoch: [4][330/5005] Time 0.209 (0.230) Data 0.041 (0.080) Loss 3.2941 (3.4995) Prec@1 26.172 (27.494) Prec@5 54.297 (51.872)
Epoch: [4][340/5005] Time 0.266 (0.231) Data 0.182 (0.081) Loss 3.5951 (3.5021) Prec@1 26.953 (27.466) Prec@5 54.688 (51.851)
Epoch: [4][350/5005] Time 0.198 (0.231) Data 0.096 (0.082) Loss 3.7515 (3.5019) Prec@1 25.000 (27.484) Prec@5 51.172 (51.872)
Epoch: [4][360/5005] Time 0.217 (0.231) Data 0.047 (0.081) Loss 3.6377 (3.5024) Prec@1 24.219 (27.486) Prec@5 49.219 (51.865)
Epoch: [4][370/5005] Time 0.208 (0.230) Data 0.048 (0.080) Loss 3.4836 (3.5005) Prec@1 27.344 (27.509) Prec@5 50.781 (51.895)
Epoch: [4][380/5005] Time 0.211 (0.230) Data 0.044 (0.079) Loss 3.5687 (3.5001) Prec@1 26.953 (27.527) Prec@5 46.875 (51.904)
Epoch: [4][390/5005] Time 0.213 (0.229) Data 0.041 (0.078) Loss 3.5320 (3.5012) Prec@1 30.859 (27.527) Prec@5 53.125 (51.864)
Epoch: [4][400/5005] Time 0.218 (0.229) Data 0.042 (0.077) Loss 3.5179 (3.5002) Prec@1 28.125 (27.530) Prec@5 50.781 (51.876)
Epoch: [4][410/5005] Time 0.211 (0.228) Data 0.042 (0.076) Loss 3.2913 (3.4998) Prec@1 26.172 (27.508) Prec@5 56.641 (51.886)
Epoch: [4][420/5005] Time 0.201 (0.228) Data 0.051 (0.076) Loss 3.4224 (3.4985) Prec@1 28.516 (27.532) Prec@5 54.688 (51.919)
Epoch: [4][430/5005] Time 0.212 (0.228) Data 0.045 (0.075) Loss 3.4261 (3.4977) Prec@1 29.297 (27.553) Prec@5 54.688 (51.925)
Epoch: [4][440/5005] Time 0.216 (0.227) Data 0.049 (0.075) Loss 3.2995 (3.4973) Prec@1 30.859 (27.561) Prec@5 53.906 (51.928)
Epoch: [4][450/5005] Time 0.220 (0.227) Data 0.046 (0.074) Loss 3.3566 (3.4971) Prec@1 25.391 (27.534) Prec@5 54.688 (51.916)
Epoch: [4][460/5005] Time 0.205 (0.227) Data 0.063 (0.073) Loss 3.5443 (3.4973) Prec@1 27.734 (27.517) Prec@5 51.953 (51.915)
Epoch: [4][470/5005] Time 0.202 (0.226) Data 0.045 (0.073) Loss 3.6083 (3.4982) Prec@1 23.438 (27.525) Prec@5 50.000 (51.898)
Epoch: [4][480/5005] Time 0.215 (0.226) Data 0.045 (0.072) Loss 3.5018 (3.4981) Prec@1 28.125 (27.531) Prec@5 55.469 (51.913)
Epoch: [4][490/5005] Time 0.212 (0.226) Data 0.049 (0.072) Loss 3.4893 (3.4979) Prec@1 33.594 (27.548) Prec@5 54.688 (51.901)
Epoch: [4][500/5005] Time 0.217 (0.226) Data 0.046 (0.071) Loss 3.6226 (3.5001) Prec@1 23.828 (27.532) Prec@5 52.344 (51.853)
Epoch: [4][510/5005] Time 0.211 (0.225) Data 0.057 (0.071) Loss 3.8100 (3.5014) Prec@1 23.828 (27.525) Prec@5 44.141 (51.823)
Epoch: [4][520/5005] Time 0.205 (0.225) Data 0.050 (0.071) Loss 3.5027 (3.5004) Prec@1 24.219 (27.538) Prec@5 50.000 (51.841)
Epoch: [4][530/5005] Time 0.217 (0.225) Data 0.043 (0.070) Loss 3.4356 (3.4997) Prec@1 30.078 (27.555) Prec@5 53.906 (51.835)
Epoch: [4][540/5005] Time 0.206 (0.225) Data 0.053 (0.070) Loss 3.7402 (3.5006) Prec@1 25.000 (27.547) Prec@5 46.094 (51.830)
Epoch: [4][550/5005] Time 0.212 (0.224) Data 0.053 (0.069) Loss 3.4100 (3.4999) Prec@1 30.469 (27.576) Prec@5 54.688 (51.827)
Epoch: [4][560/5005] Time 0.211 (0.224) Data 0.047 (0.069) Loss 3.5829 (3.4992) Prec@1 27.344 (27.580) Prec@5 51.953 (51.855)
Epoch: [4][570/5005] Time 0.219 (0.224) Data 0.045 (0.069) Loss 3.5630 (3.4996) Prec@1 25.781 (27.569) Prec@5 52.734 (51.850)
Epoch: [4][580/5005] Time 0.215 (0.224) Data 0.040 (0.068) Loss 3.4226 (3.4981) Prec@1 30.078 (27.570) Prec@5 53.516 (51.890)
Epoch: [4][590/5005] Time 0.211 (0.223) Data 0.040 (0.068) Loss 3.7108 (3.4977) Prec@1 26.953 (27.579) Prec@5 46.875 (51.878)
Epoch: [4][600/5005] Time 0.204 (0.223) Data 0.044 (0.067) Loss 3.3708 (3.4989) Prec@1 28.906 (27.564) Prec@5 55.859 (51.873)
Epoch: [4][610/5005] Time 0.215 (0.223) Data 0.048 (0.067) Loss 3.5504 (3.4989) Prec@1 28.906 (27.552) Prec@5 51.953 (51.864)
Epoch: [4][620/5005] Time 0.203 (0.223) Data 0.048 (0.067) Loss 3.4986 (3.4983) Prec@1 29.688 (27.575) Prec@5 52.734 (51.873)
Epoch: [4][630/5005] Time 0.214 (0.223) Data 0.043 (0.066) Loss 3.5969 (3.4984) Prec@1 26.953 (27.577) Prec@5 49.609 (51.883)
Epoch: [4][640/5005] Time 0.221 (0.222) Data 0.043 (0.066) Loss 3.3072 (3.4978) Prec@1 30.469 (27.586) Prec@5 55.078 (51.899)
Epoch: [4][650/5005] Time 0.217 (0.222) Data 0.043 (0.066) Loss 3.6928 (3.4987) Prec@1 26.172 (27.590) Prec@5 48.828 (51.885)
Epoch: [4][660/5005] Time 0.210 (0.222) Data 0.042 (0.065) Loss 3.5357 (3.4981) Prec@1 25.391 (27.616) Prec@5 50.781 (51.887)
Epoch: [4][670/5005] Time 0.216 (0.222) Data 0.043 (0.065) Loss 3.6743 (3.4976) Prec@1 22.266 (27.612) Prec@5 52.734 (51.915)
Epoch: [4][680/5005] Time 0.213 (0.222) Data 0.065 (0.065) Loss 3.3725 (3.4974) Prec@1 26.562 (27.603) Prec@5 57.422 (51.931)
Epoch: [4][690/5005] Time 0.215 (0.222) Data 0.042 (0.065) Loss 3.3568 (3.4969) Prec@1 28.906 (27.607) Prec@5 50.781 (51.924)
Epoch: [4][700/5005] Time 0.209 (0.222) Data 0.045 (0.064) Loss 3.4046 (3.4961) Prec@1 30.469 (27.627) Prec@5 54.297 (51.937)
Epoch: [4][710/5005] Time 0.205 (0.222) Data 0.048 (0.064) Loss 3.3943 (3.4958) Prec@1 27.734 (27.628) Prec@5 53.516 (51.950)
Epoch: [4][720/5005] Time 0.203 (0.221) Data 0.051 (0.064) Loss 3.3923 (3.4952) Prec@1 26.953 (27.627) Prec@5 56.250 (51.953)
Epoch: [4][730/5005] Time 0.206 (0.221) Data 0.045 (0.064) Loss 3.5698 (3.4957) Prec@1 26.172 (27.626) Prec@5 49.219 (51.946)
Epoch: [4][740/5005] Time 0.215 (0.221) Data 0.043 (0.064) Loss 3.5024 (3.4957) Prec@1 31.250 (27.639) Prec@5 51.953 (51.955)
Epoch: [4][750/5005] Time 0.222 (0.221) Data 0.045 (0.063) Loss 3.3553 (3.4956) Prec@1 28.906 (27.627) Prec@5 52.734 (51.957)
Epoch: [4][760/5005] Time 0.203 (0.221) Data 0.044 (0.063) Loss 3.6023 (3.4958) Prec@1 30.078 (27.622) Prec@5 55.078 (51.949)
Epoch: [4][770/5005] Time 0.218 (0.221) Data 0.044 (0.063) Loss 3.6322 (3.4952) Prec@1 26.172 (27.615) Prec@5 45.312 (51.954)
Epoch: [4][780/5005] Time 0.224 (0.221) Data 0.039 (0.063) Loss 3.5819 (3.4949) Prec@1 28.125 (27.627) Prec@5 47.656 (51.949)
Epoch: [4][790/5005] Time 0.200 (0.221) Data 0.058 (0.063) Loss 3.5093 (3.4946) Prec@1 25.391 (27.643) Prec@5 52.344 (51.954)
Epoch: [4][800/5005] Time 0.208 (0.220) Data 0.040 (0.062) Loss 3.3354 (3.4939) Prec@1 30.078 (27.659) Prec@5 53.516 (51.971)
Epoch: [4][810/5005] Time 0.213 (0.220) Data 0.049 (0.062) Loss 3.6177 (3.4944) Prec@1 30.078 (27.662) Prec@5 49.219 (51.968)
Epoch: [4][820/5005] Time 0.212 (0.220) Data 0.041 (0.062) Loss 3.6610 (3.4952) Prec@1 27.344 (27.648) Prec@5 48.828 (51.947)
Epoch: [4][830/5005] Time 0.353 (0.221) Data 0.270 (0.063) Loss 3.4275 (3.4949) Prec@1 30.859 (27.650) Prec@5 54.688 (51.947)
Epoch: [4][840/5005] Time 0.215 (0.221) Data 0.043 (0.063) Loss 3.4686 (3.4954) Prec@1 26.172 (27.639) Prec@5 49.219 (51.943)
Epoch: [4][850/5005] Time 0.202 (0.221) Data 0.059 (0.063) Loss 3.7250 (3.4947) Prec@1 25.781 (27.655) Prec@5 49.609 (51.955)
Epoch: [4][860/5005] Time 0.198 (0.221) Data 0.077 (0.064) Loss 3.6160 (3.4945) Prec@1 27.734 (27.669) Prec@5 51.953 (51.974)
Epoch: [4][870/5005] Time 0.200 (0.221) Data 0.050 (0.064) Loss 3.6225 (3.4937) Prec@1 26.172 (27.675) Prec@5 51.562 (51.975)
Epoch: [4][880/5005] Time 0.191 (0.221) Data 0.054 (0.065) Loss 3.4481 (3.4937) Prec@1 23.438 (27.673) Prec@5 50.781 (51.977)
Epoch: [4][890/5005] Time 0.192 (0.221) Data 0.100 (0.065) Loss 3.6230 (3.4936) Prec@1 24.609 (27.668) Prec@5 50.000 (51.980)
Epoch: [4][900/5005] Time 0.213 (0.221) Data 0.041 (0.065) Loss 3.3122 (3.4928) Prec@1 29.297 (27.682) Prec@5 57.031 (51.996)
Epoch: [4][910/5005] Time 0.212 (0.221) Data 0.055 (0.065) Loss 3.4143 (3.4925) Prec@1 28.125 (27.681) Prec@5 57.812 (52.004)
Epoch: [4][920/5005] Time 0.212 (0.221) Data 0.045 (0.066) Loss 3.4522 (3.4917) Prec@1 28.125 (27.688) Prec@5 53.516 (52.032)
Epoch: [4][930/5005] Time 1.696 (0.223) Data 1.614 (0.068) Loss 3.4063 (3.4909) Prec@1 27.734 (27.698) Prec@5 55.469 (52.043)
Epoch: [4][940/5005] Time 0.196 (0.223) Data 0.045 (0.068) Loss 3.4753 (3.4913) Prec@1 24.609 (27.699) Prec@5 50.000 (52.039)
Epoch: [4][950/5005] Time 0.202 (0.223) Data 0.042 (0.068) Loss 3.5887 (3.4921) Prec@1 26.172 (27.701) Prec@5 49.609 (52.023)
Epoch: [4][960/5005] Time 0.215 (0.223) Data 0.044 (0.068) Loss 3.7253 (3.4923) Prec@1 24.219 (27.701) Prec@5 48.047 (52.016)
Epoch: [4][970/5005] Time 0.202 (0.224) Data 0.052 (0.069) Loss 3.3238 (3.4927) Prec@1 31.641 (27.691) Prec@5 55.469 (52.005)
Epoch: [4][980/5005] Time 0.206 (0.223) Data 0.057 (0.069) Loss 3.3406 (3.4923) Prec@1 31.641 (27.701) Prec@5 53.516 (52.008)
Epoch: [4][990/5005] Time 0.202 (0.223) Data 0.051 (0.069) Loss 3.5126 (3.4925) Prec@1 26.172 (27.687) Prec@5 49.219 (52.002)
Epoch: [4][1000/5005] Time 0.205 (0.223) Data 0.056 (0.069) Loss 3.4894 (3.4921) Prec@1 25.391 (27.689) Prec@5 52.344 (52.016)
Epoch: [4][1010/5005] Time 0.205 (0.223) Data 0.051 (0.068) Loss 3.5802 (3.4917) Prec@1 24.219 (27.698) Prec@5 53.516 (52.023)
Epoch: [4][1020/5005] Time 0.215 (0.223) Data 0.048 (0.068) Loss 3.4174 (3.4920) Prec@1 26.953 (27.695) Prec@5 54.688 (52.024)
Epoch: [4][1030/5005] Time 0.216 (0.223) Data 0.046 (0.068) Loss 3.4498 (3.4913) Prec@1 30.859 (27.703) Prec@5 51.562 (52.035)
Epoch: [4][1040/5005] Time 0.210 (0.223) Data 0.061 (0.068) Loss 3.7686 (3.4915) Prec@1 23.047 (27.698) Prec@5 43.750 (52.026)
Epoch: [4][1050/5005] Time 0.206 (0.222) Data 0.042 (0.068) Loss 3.5705 (3.4920) Prec@1 29.688 (27.693) Prec@5 50.391 (52.011)
Epoch: [4][1060/5005] Time 0.196 (0.222) Data 0.044 (0.067) Loss 3.6852 (3.4927) Prec@1 24.219 (27.682) Prec@5 48.438 (52.002)
Epoch: [4][1070/5005] Time 0.209 (0.222) Data 0.052 (0.067) Loss 3.3435 (3.4922) Prec@1 28.516 (27.687) Prec@5 56.250 (52.015)
Epoch: [4][1080/5005] Time 0.219 (0.222) Data 0.046 (0.067) Loss 3.4541 (3.4920) Prec@1 27.344 (27.686) Prec@5 52.734 (52.021)
Epoch: [4][1090/5005] Time 0.214 (0.222) Data 0.040 (0.067) Loss 3.2713 (3.4914) Prec@1 34.766 (27.702) Prec@5 56.250 (52.034)
Epoch: [4][1100/5005] Time 0.215 (0.222) Data 0.047 (0.067) Loss 3.2545 (3.4906) Prec@1 32.422 (27.705) Prec@5 55.859 (52.043)
Epoch: [4][1110/5005] Time 0.209 (0.222) Data 0.039 (0.067) Loss 3.4395 (3.4905) Prec@1 28.516 (27.709) Prec@5 52.344 (52.046)
Epoch: [4][1120/5005] Time 0.211 (0.222) Data 0.044 (0.066) Loss 3.4191 (3.4898) Prec@1 30.078 (27.702) Prec@5 48.047 (52.051)
Epoch: [4][1130/5005] Time 0.209 (0.222) Data 0.049 (0.066) Loss 3.4723 (3.4903) Prec@1 28.516 (27.698) Prec@5 51.172 (52.035)
Epoch: [4][1140/5005] Time 0.212 (0.221) Data 0.043 (0.066) Loss 3.4322 (3.4900) Prec@1 26.953 (27.702) Prec@5 53.125 (52.037)
Epoch: [4][1150/5005] Time 0.218 (0.221) Data 0.044 (0.066) Loss 3.3167 (3.4893) Prec@1 27.344 (27.711) Prec@5 51.953 (52.036)
Epoch: [4][1160/5005] Time 0.210 (0.221) Data 0.050 (0.066) Loss 3.5851 (3.4895) Prec@1 26.953 (27.714) Prec@5 53.125 (52.033)
Epoch: [4][1170/5005] Time 0.207 (0.221) Data 0.054 (0.066) Loss 3.4236 (3.4887) Prec@1 27.344 (27.722) Prec@5 51.172 (52.044)
Epoch: [4][1180/5005] Time 0.199 (0.221) Data 0.048 (0.065) Loss 3.5388 (3.4886) Prec@1 24.219 (27.714) Prec@5 49.219 (52.047)
Epoch: [4][1190/5005] Time 0.203 (0.221) Data 0.042 (0.065) Loss 3.2317 (3.4886) Prec@1 32.031 (27.723) Prec@5 55.469 (52.046)
Epoch: [4][1200/5005] Time 0.205 (0.221) Data 0.039 (0.065) Loss 3.5798 (3.4886) Prec@1 26.172 (27.711) Prec@5 50.781 (52.048)
Epoch: [4][1210/5005] Time 0.203 (0.221) Data 0.094 (0.065) Loss 3.4463 (3.4889) Prec@1 27.734 (27.711) Prec@5 51.562 (52.047)
Epoch: [4][1220/5005] Time 0.200 (0.221) Data 0.048 (0.065) Loss 3.5029 (3.4893) Prec@1 27.344 (27.705) Prec@5 47.266 (52.044)
Epoch: [4][1230/5005] Time 0.199 (0.221) Data 0.046 (0.065) Loss 3.4993 (3.4893) Prec@1 25.000 (27.705) Prec@5 51.172 (52.040)
Epoch: [4][1240/5005] Time 0.342 (0.221) Data 0.259 (0.065) Loss 3.4293 (3.4891) Prec@1 30.469 (27.713) Prec@5 52.734 (52.035)
Epoch: [4][1250/5005] Time 0.205 (0.221) Data 0.049 (0.065) Loss 3.5946 (3.4894) Prec@1 26.562 (27.708) Prec@5 51.562 (52.028)
Epoch: [4][1260/5005] Time 0.202 (0.221) Data 0.098 (0.066) Loss 3.1420 (3.4886) Prec@1 31.641 (27.720) Prec@5 57.031 (52.039)
Epoch: [4][1270/5005] Time 0.195 (0.221) Data 0.047 (0.066) Loss 3.4897 (3.4890) Prec@1 27.734 (27.714) Prec@5 51.562 (52.031)
Epoch: [4][1280/5005] Time 0.253 (0.221) Data 0.166 (0.066) Loss 3.5070 (3.4892) Prec@1 28.906 (27.710) Prec@5 49.609 (52.021)
Epoch: [4][1290/5005] Time 0.207 (0.221) Data 0.051 (0.066) Loss 3.3025 (3.4887) Prec@1 31.250 (27.727) Prec@5 56.641 (52.036)
Epoch: [4][1300/5005] Time 0.376 (0.221) Data 0.294 (0.067) Loss 3.3662 (3.4883) Prec@1 32.422 (27.739) Prec@5 56.250 (52.048)
Epoch: [4][1310/5005] Time 0.204 (0.221) Data 0.048 (0.067) Loss 3.4296 (3.4879) Prec@1 26.953 (27.739) Prec@5 55.078 (52.061)
Epoch: [4][1320/5005] Time 0.207 (0.221) Data 0.044 (0.066) Loss 3.4527 (3.4874) Prec@1 27.734 (27.739) Prec@5 52.734 (52.073)
Epoch: [4][1330/5005] Time 0.192 (0.221) Data 0.058 (0.067) Loss 3.5036 (3.4879) Prec@1 25.781 (27.731) Prec@5 53.125 (52.068)
Epoch: [4][1340/5005] Time 0.202 (0.221) Data 0.043 (0.066) Loss 3.4380 (3.4876) Prec@1 32.031 (27.731) Prec@5 52.734 (52.068)
Epoch: [4][1350/5005] Time 0.189 (0.221) Data 0.085 (0.067) Loss 3.8721 (3.4878) Prec@1 25.391 (27.732) Prec@5 48.047 (52.064)
Epoch: [4][1360/5005] Time 0.203 (0.221) Data 0.040 (0.067) Loss 3.4111 (3.4877) Prec@1 27.734 (27.737) Prec@5 54.688 (52.067)
Epoch: [4][1370/5005] Time 0.558 (0.221) Data 0.468 (0.067) Loss 3.4959 (3.4871) Prec@1 27.344 (27.744) Prec@5 49.219 (52.076)
Epoch: [4][1380/5005] Time 0.212 (0.221) Data 0.124 (0.067) Loss 3.3969 (3.4869) Prec@1 29.297 (27.746) Prec@5 53.125 (52.082)
Epoch: [4][1390/5005] Time 0.213 (0.221) Data 0.048 (0.067) Loss 3.4984 (3.4868) Prec@1 25.781 (27.746) Prec@5 48.438 (52.076)
Epoch: [4][1400/5005] Time 0.202 (0.221) Data 0.047 (0.067) Loss 3.4789 (3.4860) Prec@1 28.125 (27.759) Prec@5 52.734 (52.091)
Epoch: [4][1410/5005] Time 0.281 (0.221) Data 0.192 (0.067) Loss 3.4111 (3.4855) Prec@1 28.516 (27.765) Prec@5 53.125 (52.102)
Epoch: [4][1420/5005] Time 0.212 (0.221) Data 0.121 (0.068) Loss 3.5939 (3.4853) Prec@1 29.688 (27.767) Prec@5 51.562 (52.103)
Epoch: [4][1430/5005] Time 0.197 (0.221) Data 0.046 (0.068) Loss 3.1711 (3.4848) Prec@1 32.031 (27.768) Prec@5 60.156 (52.115)
Epoch: [4][1440/5005] Time 0.213 (0.222) Data 0.047 (0.068) Loss 3.2768 (3.4849) Prec@1 29.297 (27.758) Prec@5 55.859 (52.112)
Epoch: [4][1450/5005] Time 0.208 (0.221) Data 0.042 (0.068) Loss 3.4631 (3.4849) Prec@1 28.125 (27.768) Prec@5 54.688 (52.113)
Epoch: [4][1460/5005] Time 0.204 (0.221) Data 0.047 (0.068) Loss 3.4986 (3.4846) Prec@1 25.000 (27.772) Prec@5 50.391 (52.127)
Epoch: [4][1470/5005] Time 0.197 (0.222) Data 0.045 (0.068) Loss 3.5008 (3.4848) Prec@1 29.297 (27.769) Prec@5 52.344 (52.124)
Epoch: [4][1480/5005] Time 0.194 (0.222) Data 0.044 (0.069) Loss 3.2721 (3.4849) Prec@1 31.641 (27.773) Prec@5 57.031 (52.123)
Epoch: [4][1490/5005] Time 0.209 (0.222) Data 0.047 (0.068) Loss 3.6734 (3.4846) Prec@1 25.000 (27.780) Prec@5 50.000 (52.138)
Epoch: [4][1500/5005] Time 0.201 (0.222) Data 0.047 (0.068) Loss 3.4932 (3.4844) Prec@1 32.031 (27.786) Prec@5 52.734 (52.134)
Epoch: [4][1510/5005] Time 0.202 (0.221) Data 0.066 (0.068) Loss 3.3021 (3.4842) Prec@1 29.688 (27.791) Prec@5 55.469 (52.140)
Epoch: [4][1520/5005] Time 0.197 (0.222) Data 0.051 (0.068) Loss 3.5332 (3.4841) Prec@1 26.953 (27.795) Prec@5 50.391 (52.131)
Epoch: [4][1530/5005] Time 0.210 (0.221) Data 0.039 (0.068) Loss 3.6970 (3.4839) Prec@1 27.344 (27.801) Prec@5 48.047 (52.124)
Epoch: [4][1540/5005] Time 0.215 (0.221) Data 0.045 (0.068) Loss 3.6127 (3.4843) Prec@1 25.000 (27.804) Prec@5 48.047 (52.116)
Epoch: [4][1550/5005] Time 0.197 (0.221) Data 0.050 (0.068) Loss 3.4172 (3.4836) Prec@1 32.812 (27.812) Prec@5 54.688 (52.128)
Epoch: [4][1560/5005] Time 0.204 (0.221) Data 0.054 (0.068) Loss 3.3466 (3.4838) Prec@1 30.859 (27.811) Prec@5 55.859 (52.127)
Epoch: [4][1570/5005] Time 0.209 (0.221) Data 0.125 (0.068) Loss 3.4542 (3.4838) Prec@1 25.391 (27.811) Prec@5 54.688 (52.128)
Epoch: [4][1580/5005] Time 0.211 (0.222) Data 0.054 (0.069) Loss 3.4978 (3.4844) Prec@1 24.219 (27.798) Prec@5 53.906 (52.123)
Epoch: [4][1590/5005] Time 0.193 (0.222) Data 0.052 (0.069) Loss 3.4985 (3.4842) Prec@1 27.344 (27.796) Prec@5 53.125 (52.130)
Epoch: [4][1600/5005] Time 0.202 (0.222) Data 0.044 (0.069) Loss 3.4955 (3.4844) Prec@1 26.562 (27.794) Prec@5 53.906 (52.126)
Epoch: [4][1610/5005] Time 0.201 (0.222) Data 0.043 (0.069) Loss 3.5000 (3.4843) Prec@1 28.516 (27.799) Prec@5 46.875 (52.123)
Epoch: [4][1620/5005] Time 0.199 (0.222) Data 0.104 (0.069) Loss 3.7921 (3.4841) Prec@1 26.562 (27.799) Prec@5 45.312 (52.122)
Epoch: [4][1630/5005] Time 0.201 (0.222) Data 0.046 (0.069) Loss 3.4427 (3.4840) Prec@1 29.688 (27.806) Prec@5 51.562 (52.123)
Epoch: [4][1640/5005] Time 0.213 (0.222) Data 0.045 (0.069) Loss 3.4356 (3.4842) Prec@1 31.250 (27.807) Prec@5 52.344 (52.122)
Epoch: [4][1650/5005] Time 0.209 (0.222) Data 0.047 (0.069) Loss 3.5614 (3.4841) Prec@1 33.203 (27.818) Prec@5 50.000 (52.127)
Epoch: [4][1660/5005] Time 0.204 (0.222) Data 0.042 (0.069) Loss 3.2830 (3.4830) Prec@1 31.641 (27.833) Prec@5 60.938 (52.149)
Epoch: [4][1670/5005] Time 0.200 (0.222) Data 0.049 (0.069) Loss 3.3424 (3.4831) Prec@1 30.078 (27.834) Prec@5 56.250 (52.151)
Epoch: [4][1680/5005] Time 0.201 (0.222) Data 0.049 (0.070) Loss 3.6172 (3.4831) Prec@1 26.953 (27.837) Prec@5 48.438 (52.152)
Epoch: [4][1690/5005] Time 0.204 (0.222) Data 0.049 (0.070) Loss 3.2458 (3.4826) Prec@1 31.250 (27.840) Prec@5 58.594 (52.161)
Epoch: [4][1700/5005] Time 0.202 (0.222) Data 0.045 (0.070) Loss 3.3605 (3.4820) Prec@1 28.125 (27.846) Prec@5 50.391 (52.163)
Epoch: [4][1710/5005] Time 0.201 (0.222) Data 0.117 (0.070) Loss 3.2861 (3.4813) Prec@1 31.250 (27.852) Prec@5 57.812 (52.175)
Epoch: [4][1720/5005] Time 0.203 (0.222) Data 0.046 (0.070) Loss 3.5150 (3.4812) Prec@1 28.516 (27.849) Prec@5 53.516 (52.178)
Epoch: [4][1730/5005] Time 0.197 (0.222) Data 0.054 (0.070) Loss 3.4096 (3.4810) Prec@1 25.781 (27.848) Prec@5 57.031 (52.186)
Epoch: [4][1740/5005] Time 0.202 (0.222) Data 0.043 (0.070) Loss 3.6216 (3.4808) Prec@1 26.953 (27.856) Prec@5 48.828 (52.184)
Epoch: [4][1750/5005] Time 0.452 (0.222) Data 0.366 (0.071) Loss 3.4719 (3.4800) Prec@1 29.297 (27.870) Prec@5 50.781 (52.195)
Epoch: [4][1760/5005] Time 0.202 (0.222) Data 0.044 (0.071) Loss 3.2859 (3.4797) Prec@1 28.906 (27.873) Prec@5 52.734 (52.199)
Epoch: [4][1770/5005] Time 0.202 (0.222) Data 0.093 (0.071) Loss 3.4015 (3.4794) Prec@1 26.953 (27.872) Prec@5 55.469 (52.206)
Epoch: [4][1780/5005] Time 0.203 (0.222) Data 0.066 (0.071) Loss 3.3591 (3.4792) Prec@1 30.469 (27.873) Prec@5 56.641 (52.215)
Epoch: [4][1790/5005] Time 0.213 (0.222) Data 0.043 (0.071) Loss 3.3586 (3.4789) Prec@1 28.125 (27.877) Prec@5 51.953 (52.223)
Epoch: [4][1800/5005] Time 0.205 (0.222) Data 0.040 (0.071) Loss 3.2779 (3.4787) Prec@1 32.812 (27.888) Prec@5 58.594 (52.230)
Epoch: [4][1810/5005] Time 0.211 (0.222) Data 0.045 (0.071) Loss 3.2793 (3.4785) Prec@1 34.766 (27.888) Prec@5 56.641 (52.229)
Epoch: [4][1820/5005] Time 0.208 (0.222) Data 0.047 (0.071) Loss 3.5076 (3.4783) Prec@1 23.047 (27.888) Prec@5 50.391 (52.233)
Epoch: [4][1830/5005] Time 0.183 (0.222) Data 0.059 (0.071) Loss 3.1911 (3.4776) Prec@1 32.422 (27.896) Prec@5 57.031 (52.249)
Epoch: [4][1840/5005] Time 0.208 (0.222) Data 0.043 (0.071) Loss 3.6235 (3.4773) Prec@1 27.344 (27.904) Prec@5 46.875 (52.257)
Epoch: [4][1850/5005] Time 0.208 (0.222) Data 0.042 (0.071) Loss 3.5688 (3.4770) Prec@1 28.125 (27.911) Prec@5 49.219 (52.263)
Epoch: [4][1860/5005] Time 0.661 (0.222) Data 0.572 (0.071) Loss 3.4548 (3.4770) Prec@1 26.562 (27.906) Prec@5 52.344 (52.266)
Epoch: [4][1870/5005] Time 0.204 (0.222) Data 0.043 (0.071) Loss 3.6651 (3.4771) Prec@1 22.266 (27.900) Prec@5 49.609 (52.266)
Epoch: [4][1880/5005] Time 0.212 (0.222) Data 0.045 (0.071) Loss 3.4725 (3.4771) Prec@1 30.078 (27.898) Prec@5 51.562 (52.262)
Epoch: [4][1890/5005] Time 0.205 (0.222) Data 0.039 (0.071) Loss 3.6347 (3.4768) Prec@1 28.906 (27.905) Prec@5 48.828 (52.271)
Epoch: [4][1900/5005] Time 0.305 (0.222) Data 0.215 (0.071) Loss 3.4806 (3.4770) Prec@1 27.734 (27.904) Prec@5 50.391 (52.270)
Epoch: [4][1910/5005] Time 0.203 (0.222) Data 0.045 (0.072) Loss 3.4921 (3.4772) Prec@1 26.953 (27.900) Prec@5 50.391 (52.264)
Epoch: [4][1920/5005] Time 0.219 (0.222) Data 0.131 (0.071) Loss 3.4036 (3.4770) Prec@1 30.859 (27.896) Prec@5 51.953 (52.266)
Epoch: [4][1930/5005] Time 0.205 (0.222) Data 0.046 (0.071) Loss 3.3195 (3.4767) Prec@1 27.734 (27.896) Prec@5 55.078 (52.273)
Epoch: [4][1940/5005] Time 0.200 (0.222) Data 0.057 (0.072) Loss 3.2151 (3.4761) Prec@1 30.859 (27.900) Prec@5 57.422 (52.277)
Epoch: [4][1950/5005] Time 0.208 (0.222) Data 0.042 (0.072) Loss 3.4949 (3.4758) Prec@1 29.688 (27.910) Prec@5 49.609 (52.277)
Epoch: [4][1960/5005] Time 0.203 (0.222) Data 0.048 (0.072) Loss 3.3902 (3.4756) Prec@1 27.344 (27.914) Prec@5 55.078 (52.287)
Epoch: [4][1970/5005] Time 0.202 (0.222) Data 0.089 (0.072) Loss 3.4680 (3.4757) Prec@1 27.344 (27.909) Prec@5 50.000 (52.280)
Epoch: [4][1980/5005] Time 0.205 (0.222) Data 0.046 (0.072) Loss 3.1259 (3.4753) Prec@1 36.719 (27.916) Prec@5 55.078 (52.286)
Epoch: [4][1990/5005] Time 0.200 (0.222) Data 0.112 (0.072) Loss 3.2905 (3.4750) Prec@1 29.297 (27.922) Prec@5 53.516 (52.291)
Epoch: [4][2000/5005] Time 0.196 (0.222) Data 0.060 (0.072) Loss 3.1892 (3.4750) Prec@1 32.422 (27.921) Prec@5 56.641 (52.294)
Epoch: [4][2010/5005] Time 0.205 (0.222) Data 0.049 (0.072) Loss 3.4152 (3.4752) Prec@1 26.172 (27.914) Prec@5 48.828 (52.285)
Epoch: [4][2020/5005] Time 0.194 (0.222) Data 0.054 (0.072) Loss 3.4975 (3.4753) Prec@1 28.516 (27.916) Prec@5 50.391 (52.286)
Epoch: [4][2030/5005] Time 0.210 (0.222) Data 0.093 (0.072) Loss 3.2768 (3.4751) Prec@1 28.516 (27.927) Prec@5 56.641 (52.288)
Epoch: [4][2040/5005] Time 0.207 (0.222) Data 0.043 (0.072) Loss 3.1930 (3.4747) Prec@1 31.250 (27.932) Prec@5 58.203 (52.298)
Epoch: [4][2050/5005] Time 0.494 (0.222) Data 0.408 (0.072) Loss 3.5349 (3.4747) Prec@1 26.953 (27.932) Prec@5 51.562 (52.297)
Epoch: [4][2060/5005] Time 0.194 (0.222) Data 0.089 (0.072) Loss 3.3879 (3.4745) Prec@1 26.953 (27.932) Prec@5 50.391 (52.295)
Epoch: [4][2070/5005] Time 0.210 (0.222) Data 0.049 (0.072) Loss 3.7703 (3.4747) Prec@1 27.734 (27.932) Prec@5 47.656 (52.289)
Epoch: [4][2080/5005] Time 0.198 (0.222) Data 0.113 (0.072) Loss 3.5072 (3.4748) Prec@1 26.172 (27.930) Prec@5 52.734 (52.289)
Epoch: [4][2090/5005] Time 0.210 (0.222) Data 0.060 (0.072) Loss 3.3981 (3.4744) Prec@1 27.734 (27.936) Prec@5 55.469 (52.302)
Epoch: [4][2100/5005] Time 0.209 (0.222) Data 0.047 (0.072) Loss 3.4922 (3.4742) Prec@1 26.953 (27.940) Prec@5 51.953 (52.302)
Epoch: [4][2110/5005] Time 0.211 (0.222) Data 0.047 (0.072) Loss 3.4794 (3.4743) Prec@1 29.688 (27.942) Prec@5 51.562 (52.301)
Epoch: [4][2120/5005] Time 0.200 (0.222) Data 0.043 (0.072) Loss 3.6817 (3.4742) Prec@1 25.391 (27.950) Prec@5 50.000 (52.303)
Epoch: [4][2130/5005] Time 1.417 (0.223) Data 1.340 (0.073) Loss 3.4115 (3.4738) Prec@1 30.469 (27.957) Prec@5 56.250 (52.311)
Epoch: [4][2140/5005] Time 0.205 (0.223) Data 0.045 (0.073) Loss 3.2321 (3.4736) Prec@1 33.203 (27.962) Prec@5 56.250 (52.315)
Epoch: [4][2150/5005] Time 0.492 (0.223) Data 0.401 (0.073) Loss 3.2970 (3.4734) Prec@1 33.203 (27.963) Prec@5 55.078 (52.319)
Epoch: [4][2160/5005] Time 0.204 (0.223) Data 0.048 (0.073) Loss 3.2850 (3.4734) Prec@1 30.078 (27.960) Prec@5 58.984 (52.325)
Epoch: [4][2170/5005] Time 0.192 (0.223) Data 0.047 (0.073) Loss 3.2714 (3.4729) Prec@1 32.031 (27.964) Prec@5 55.469 (52.332)
Epoch: [4][2180/5005] Time 0.201 (0.223) Data 0.039 (0.073) Loss 3.5141 (3.4729) Prec@1 26.172 (27.961) Prec@5 53.125 (52.329)
Epoch: [4][2190/5005] Time 0.506 (0.223) Data 0.408 (0.073) Loss 3.5183 (3.4729) Prec@1 28.516 (27.957) Prec@5 51.953 (52.333)
Epoch: [4][2200/5005] Time 0.202 (0.223) Data 0.047 (0.073) Loss 3.5729 (3.4729) Prec@1 26.562 (27.957) Prec@5 48.828 (52.331)
Epoch: [4][2210/5005] Time 0.202 (0.223) Data 0.054 (0.073) Loss 3.6084 (3.4731) Prec@1 25.000 (27.957) Prec@5 47.266 (52.328)
Epoch: [4][2220/5005] Time 0.203 (0.223) Data 0.043 (0.073) Loss 3.5820 (3.4730) Prec@1 27.734 (27.959) Prec@5 49.609 (52.331)
Epoch: [4][2230/5005] Time 0.206 (0.223) Data 0.040 (0.073) Loss 3.3665 (3.4728) Prec@1 32.422 (27.963) Prec@5 52.344 (52.337)
Epoch: [4][2240/5005] Time 0.312 (0.223) Data 0.231 (0.073) Loss 3.4145 (3.4727) Prec@1 27.734 (27.963) Prec@5 53.516 (52.338)
Epoch: [4][2250/5005] Time 0.211 (0.223) Data 0.047 (0.073) Loss 3.3063 (3.4726) Prec@1 29.297 (27.969) Prec@5 57.422 (52.339)
Epoch: [4][2260/5005] Time 0.202 (0.223) Data 0.043 (0.073) Loss 3.2715 (3.4721) Prec@1 32.031 (27.975) Prec@5 55.469 (52.348)
Epoch: [4][2270/5005] Time 0.208 (0.223) Data 0.045 (0.073) Loss 3.5486 (3.4718) Prec@1 29.688 (27.981) Prec@5 52.344 (52.353)
Epoch: [4][2280/5005] Time 0.213 (0.223) Data 0.043 (0.073) Loss 3.5355 (3.4718) Prec@1 25.391 (27.981) Prec@5 51.562 (52.356)
Epoch: [4][2290/5005] Time 0.338 (0.223) Data 0.245 (0.073) Loss 3.2278 (3.4715) Prec@1 33.203 (27.987) Prec@5 56.250 (52.360)
Epoch: [4][2300/5005] Time 0.205 (0.223) Data 0.048 (0.073) Loss 3.2895 (3.4716) Prec@1 28.516 (27.985) Prec@5 55.078 (52.357)
Epoch: [4][2310/5005] Time 0.208 (0.223) Data 0.054 (0.073) Loss 3.2402 (3.4712) Prec@1 33.203 (27.996) Prec@5 57.031 (52.365)
Epoch: [4][2320/5005] Time 0.195 (0.223) Data 0.055 (0.073) Loss 3.5687 (3.4711) Prec@1 24.609 (27.998) Prec@5 51.953 (52.366)
Epoch: [4][2330/5005] Time 0.197 (0.223) Data 0.063 (0.074) Loss 3.4343 (3.4710) Prec@1 31.641 (28.000) Prec@5 52.344 (52.369)
Epoch: [4][2340/5005] Time 0.232 (0.223) Data 0.148 (0.074) Loss 3.3847 (3.4707) Prec@1 29.297 (28.008) Prec@5 50.781 (52.371)
Epoch: [4][2350/5005] Time 0.205 (0.223) Data 0.048 (0.074) Loss 3.4524 (3.4705) Prec@1 30.078 (28.010) Prec@5 53.516 (52.376)
Epoch: [4][2360/5005] Time 0.200 (0.223) Data 0.045 (0.074) Loss 3.2488 (3.4703) Prec@1 31.641 (28.014) Prec@5 55.859 (52.381)
Epoch: [4][2370/5005] Time 0.200 (0.223) Data 0.053 (0.074) Loss 3.4523 (3.4701) Prec@1 24.219 (28.014) Prec@5 53.125 (52.385)
Epoch: [4][2380/5005] Time 0.196 (0.223) Data 0.111 (0.074) Loss 3.3935 (3.4700) Prec@1 31.641 (28.019) Prec@5 54.297 (52.389)
Epoch: [4][2390/5005] Time 0.196 (0.223) Data 0.060 (0.074) Loss 3.4440 (3.4697) Prec@1 28.516 (28.026) Prec@5 52.344 (52.394)
Epoch: [4][2400/5005] Time 0.207 (0.223) Data 0.043 (0.074) Loss 3.3418 (3.4697) Prec@1 30.469 (28.024) Prec@5 56.641 (52.397)
Epoch: [4][2410/5005] Time 0.507 (0.223) Data 0.417 (0.074) Loss 3.5012 (3.4695) Prec@1 26.562 (28.029) Prec@5 48.047 (52.399)
Epoch: [4][2420/5005] Time 0.208 (0.223) Data 0.049 (0.074) Loss 3.5207 (3.4694) Prec@1 27.734 (28.033) Prec@5 51.562 (52.402)
Epoch: [4][2430/5005] Time 0.199 (0.223) Data 0.045 (0.074) Loss 3.3503 (3.4693) Prec@1 28.125 (28.038) Prec@5 50.781 (52.402)
Epoch: [4][2440/5005] Time 0.211 (0.223) Data 0.043 (0.074) Loss 3.2063 (3.4691) Prec@1 32.422 (28.041) Prec@5 56.641 (52.406)
Epoch: [4][2450/5005] Time 0.198 (0.223) Data 0.060 (0.074) Loss 3.4402 (3.4689) Prec@1 26.953 (28.042) Prec@5 54.688 (52.407)
Epoch: [4][2460/5005] Time 0.673 (0.223) Data 0.587 (0.074) Loss 3.6113 (3.4689) Prec@1 25.000 (28.045) Prec@5 46.484 (52.405)
Epoch: [4][2470/5005] Time 0.206 (0.223) Data 0.048 (0.074) Loss 3.3824 (3.4687) Prec@1 29.688 (28.051) Prec@5 52.344 (52.409)
Epoch: [4][2480/5005] Time 0.209 (0.223) Data 0.047 (0.074) Loss 3.6203 (3.4687) Prec@1 24.219 (28.051) Prec@5 53.516 (52.408)
Epoch: [4][2490/5005] Time 0.205 (0.223) Data 0.041 (0.074) Loss 3.2298 (3.4685) Prec@1 33.203 (28.051) Prec@5 58.984 (52.410)
Epoch: [4][2500/5005] Time 0.203 (0.223) Data 0.047 (0.074) Loss 3.5245 (3.4684) Prec@1 28.516 (28.051) Prec@5 48.438 (52.411)
Epoch: [4][2510/5005] Time 0.194 (0.223) Data 0.051 (0.074) Loss 3.4877 (3.4684) Prec@1 28.516 (28.048) Prec@5 53.516 (52.415)
Epoch: [4][2520/5005] Time 0.209 (0.223) Data 0.049 (0.074) Loss 3.4657 (3.4681) Prec@1 31.641 (28.051) Prec@5 52.344 (52.420)
Epoch: [4][2530/5005] Time 0.203 (0.223) Data 0.046 (0.074) Loss 3.6592 (3.4681) Prec@1 27.734 (28.052) Prec@5 44.922 (52.421)
Epoch: [4][2540/5005] Time 0.200 (0.223) Data 0.045 (0.074) Loss 3.3557 (3.4678) Prec@1 25.391 (28.054) Prec@5 55.078 (52.427)
Epoch: [4][2550/5005] Time 0.202 (0.223) Data 0.043 (0.074) Loss 3.4364 (3.4678) Prec@1 28.516 (28.055) Prec@5 52.734 (52.430)
Epoch: [4][2560/5005] Time 0.371 (0.223) Data 0.293 (0.074) Loss 3.5942 (3.4677) Prec@1 27.344 (28.054) Prec@5 52.734 (52.435)
Epoch: [4][2570/5005] Time 0.210 (0.223) Data 0.089 (0.074) Loss 3.3701 (3.4676) Prec@1 29.688 (28.057) Prec@5 54.688 (52.437)
Epoch: [4][2580/5005] Time 0.207 (0.223) Data 0.058 (0.074) Loss 3.5076 (3.4679) Prec@1 27.344 (28.057) Prec@5 51.172 (52.429)
Epoch: [4][2590/5005] Time 0.203 (0.223) Data 0.040 (0.074) Loss 3.5788 (3.4676) Prec@1 29.297 (28.064) Prec@5 49.219 (52.433)
Epoch: [4][2600/5005] Time 0.221 (0.223) Data 0.137 (0.074) Loss 3.4518 (3.4676) Prec@1 25.391 (28.066) Prec@5 50.781 (52.428)
Epoch: [4][2610/5005] Time 0.214 (0.223) Data 0.046 (0.074) Loss 3.6245 (3.4674) Prec@1 26.953 (28.068) Prec@5 51.953 (52.435)
Epoch: [4][2620/5005] Time 0.191 (0.223) Data 0.048 (0.074) Loss 3.4833 (3.4672) Prec@1 28.516 (28.072) Prec@5 51.562 (52.441)
Epoch: [4][2630/5005] Time 0.200 (0.223) Data 0.049 (0.074) Loss 3.5434 (3.4675) Prec@1 25.391 (28.071) Prec@5 48.438 (52.432)
Epoch: [4][2640/5005] Time 0.197 (0.223) Data 0.042 (0.074) Loss 3.5371 (3.4674) Prec@1 25.781 (28.077) Prec@5 48.047 (52.430)
Epoch: [4][2650/5005] Time 0.192 (0.223) Data 0.055 (0.074) Loss 3.5363 (3.4673) Prec@1 26.172 (28.075) Prec@5 49.219 (52.435)
Epoch: [4][2660/5005] Time 0.194 (0.223) Data 0.047 (0.075) Loss 3.4467 (3.4671) Prec@1 25.781 (28.081) Prec@5 51.562 (52.440)
Epoch: [4][2670/5005] Time 0.198 (0.223) Data 0.039 (0.075) Loss 3.1092 (3.4668) Prec@1 30.078 (28.088) Prec@5 57.812 (52.444)
Epoch: [4][2680/5005] Time 0.193 (0.223) Data 0.083 (0.075) Loss 3.3837 (3.4667) Prec@1 31.641 (28.092) Prec@5 50.000 (52.443)
Epoch: [4][2690/5005] Time 0.508 (0.224) Data 0.424 (0.075) Loss 3.2427 (3.4667) Prec@1 32.031 (28.092) Prec@5 57.031 (52.443)
Epoch: [4][2700/5005] Time 0.197 (0.223) Data 0.106 (0.075) Loss 3.3652 (3.4668) Prec@1 27.344 (28.095) Prec@5 53.125 (52.444)
Epoch: [4][2710/5005] Time 0.212 (0.223) Data 0.042 (0.075) Loss 3.3062 (3.4668) Prec@1 32.031 (28.095) Prec@5 54.297 (52.438)
Epoch: [4][2720/5005] Time 0.245 (0.223) Data 0.156 (0.075) Loss 3.5794 (3.4669) Prec@1 27.344 (28.091) Prec@5 49.219 (52.438)
Epoch: [4][2730/5005] Time 0.214 (0.223) Data 0.044 (0.075) Loss 3.4394 (3.4667) Prec@1 30.078 (28.096) Prec@5 51.562 (52.441)
Epoch: [4][2740/5005] Time 0.201 (0.223) Data 0.046 (0.075) Loss 3.3582 (3.4665) Prec@1 28.516 (28.103) Prec@5 55.859 (52.449)
Epoch: [4][2750/5005] Time 0.215 (0.223) Data 0.047 (0.075) Loss 3.3034 (3.4663) Prec@1 28.516 (28.106) Prec@5 55.078 (52.451)
Epoch: [4][2760/5005] Time 0.203 (0.224) Data 0.045 (0.075) Loss 3.5100 (3.4661) Prec@1 23.438 (28.110) Prec@5 51.562 (52.455)
Epoch: [4][2770/5005] Time 0.205 (0.223) Data 0.044 (0.075) Loss 3.3403 (3.4661) Prec@1 28.516 (28.109) Prec@5 55.469 (52.458)
Epoch: [4][2780/5005] Time 0.200 (0.223) Data 0.059 (0.075) Loss 3.6096 (3.4659) Prec@1 28.516 (28.114) Prec@5 48.438 (52.462)
Epoch: [4][2790/5005] Time 0.292 (0.223) Data 0.207 (0.075) Loss 3.7657 (3.4659) Prec@1 19.922 (28.116) Prec@5 42.578 (52.462)
Epoch: [4][2800/5005] Time 0.203 (0.223) Data 0.088 (0.075) Loss 3.2246 (3.4656) Prec@1 30.078 (28.118) Prec@5 56.250 (52.470)
Epoch: [4][2810/5005] Time 0.197 (0.224) Data 0.047 (0.075) Loss 3.5288 (3.4654) Prec@1 27.734 (28.122) Prec@5 52.734 (52.469)
Epoch: [4][2820/5005] Time 0.201 (0.224) Data 0.051 (0.076) Loss 3.1708 (3.4652) Prec@1 32.031 (28.120) Prec@5 57.422 (52.467)
Epoch: [4][2830/5005] Time 0.203 (0.224) Data 0.050 (0.076) Loss 3.7484 (3.4653) Prec@1 23.828 (28.116) Prec@5 50.000 (52.468)
Epoch: [4][2840/5005] Time 0.203 (0.224) Data 0.044 (0.075) Loss 3.6544 (3.4652) Prec@1 26.953 (28.115) Prec@5 49.219 (52.469)
Epoch: [4][2850/5005] Time 0.197 (0.224) Data 0.056 (0.075) Loss 3.3833 (3.4649) Prec@1 29.688 (28.122) Prec@5 51.953 (52.474)
Epoch: [4][2860/5005] Time 0.203 (0.224) Data 0.049 (0.075) Loss 3.4121 (3.4651) Prec@1 31.250 (28.120) Prec@5 50.781 (52.473)
Epoch: [4][2870/5005] Time 0.198 (0.223) Data 0.050 (0.075) Loss 3.3905 (3.4647) Prec@1 28.906 (28.127) Prec@5 53.125 (52.483)
Epoch: [4][2880/5005] Time 0.197 (0.223) Data 0.046 (0.075) Loss 3.3344 (3.4647) Prec@1 25.391 (28.125) Prec@5 56.250 (52.482)
Epoch: [4][2890/5005] Time 0.544 (0.224) Data 0.461 (0.076) Loss 3.5319 (3.4644) Prec@1 25.391 (28.133) Prec@5 51.953 (52.486)
Epoch: [4][2900/5005] Time 0.203 (0.223) Data 0.046 (0.075) Loss 3.1622 (3.4642) Prec@1 32.422 (28.135) Prec@5 60.156 (52.492)
Epoch: [4][2910/5005] Time 0.196 (0.223) Data 0.042 (0.075) Loss 3.3993 (3.4643) Prec@1 25.391 (28.132) Prec@5 54.297 (52.489)
Epoch: [4][2920/5005] Time 0.204 (0.223) Data 0.039 (0.075) Loss 3.5904 (3.4643) Prec@1 25.000 (28.131) Prec@5 49.609 (52.489)
Epoch: [4][2930/5005] Time 0.212 (0.223) Data 0.044 (0.075) Loss 3.7734 (3.4643) Prec@1 22.656 (28.131) Prec@5 45.703 (52.490)
Epoch: [4][2940/5005] Time 0.193 (0.223) Data 0.062 (0.075) Loss 3.4777 (3.4642) Prec@1 26.172 (28.129) Prec@5 50.000 (52.490)
Epoch: [4][2950/5005] Time 0.491 (0.223) Data 0.411 (0.076) Loss 3.7037 (3.4642) Prec@1 25.000 (28.131) Prec@5 44.531 (52.493)
Epoch: [4][2960/5005] Time 0.435 (0.223) Data 0.346 (0.076) Loss 3.4343 (3.4641) Prec@1 27.734 (28.132) Prec@5 54.297 (52.495)
Epoch: [4][2970/5005] Time 0.210 (0.224) Data 0.048 (0.076) Loss 3.5953 (3.4640) Prec@1 21.094 (28.129) Prec@5 51.953 (52.496)
Epoch: [4][2980/5005] Time 0.197 (0.224) Data 0.044 (0.076) Loss 3.4922 (3.4642) Prec@1 27.344 (28.126) Prec@5 51.953 (52.492)
Epoch: [4][2990/5005] Time 0.198 (0.224) Data 0.058 (0.076) Loss 3.2729 (3.4641) Prec@1 31.250 (28.128) Prec@5 58.203 (52.496)
Epoch: [4][3000/5005] Time 0.449 (0.224) Data 0.355 (0.076) Loss 3.4256 (3.4638) Prec@1 26.562 (28.129) Prec@5 53.125 (52.501)
Epoch: [4][3010/5005] Time 0.212 (0.224) Data 0.046 (0.076) Loss 3.4069 (3.4639) Prec@1 28.125 (28.131) Prec@5 49.609 (52.494)
Epoch: [4][3020/5005] Time 0.218 (0.224) Data 0.047 (0.076) Loss 3.2536 (3.4639) Prec@1 28.906 (28.131) Prec@5 55.859 (52.494)
Epoch: [4][3030/5005] Time 0.204 (0.224) Data 0.048 (0.076) Loss 3.2954 (3.4637) Prec@1 31.250 (28.134) Prec@5 55.469 (52.501)
Epoch: [4][3040/5005] Time 0.197 (0.224) Data 0.050 (0.076) Loss 3.3207 (3.4634) Prec@1 29.688 (28.142) Prec@5 52.734 (52.504)
Epoch: [4][3050/5005] Time 0.200 (0.224) Data 0.046 (0.076) Loss 3.3211 (3.4633) Prec@1 30.859 (28.144) Prec@5 53.906 (52.505)
Epoch: [4][3060/5005] Time 0.200 (0.224) Data 0.045 (0.076) Loss 3.3079 (3.4630) Prec@1 26.953 (28.146) Prec@5 56.250 (52.505)
Epoch: [4][3070/5005] Time 0.208 (0.224) Data 0.042 (0.076) Loss 3.4581 (3.4628) Prec@1 26.953 (28.146) Prec@5 54.688 (52.509)
Epoch: [4][3080/5005] Time 0.197 (0.224) Data 0.041 (0.076) Loss 3.3647 (3.4627) Prec@1 26.562 (28.148) Prec@5 51.172 (52.509)
Epoch: [4][3090/5005] Time 0.386 (0.224) Data 0.299 (0.076) Loss 3.8309 (3.4626) Prec@1 21.094 (28.147) Prec@5 45.312 (52.509)
Epoch: [4][3100/5005] Time 0.192 (0.224) Data 0.053 (0.076) Loss 3.3247 (3.4623) Prec@1 33.594 (28.152) Prec@5 56.250 (52.515)
Epoch: [4][3110/5005] Time 0.196 (0.224) Data 0.051 (0.076) Loss 3.2315 (3.4621) Prec@1 31.250 (28.155) Prec@5 57.812 (52.523)
Epoch: [4][3120/5005] Time 0.201 (0.224) Data 0.041 (0.076) Loss 3.5497 (3.4619) Prec@1 24.219 (28.156) Prec@5 53.516 (52.524)
Epoch: [4][3130/5005] Time 0.195 (0.224) Data 0.104 (0.076) Loss 3.6038 (3.4618) Prec@1 24.219 (28.158) Prec@5 50.391 (52.526)
Epoch: [4][3140/5005] Time 0.209 (0.224) Data 0.047 (0.076) Loss 3.2339 (3.4615) Prec@1 31.641 (28.163) Prec@5 58.203 (52.533)
Epoch: [4][3150/5005] Time 0.205 (0.224) Data 0.046 (0.076) Loss 3.4203 (3.4613) Prec@1 29.297 (28.164) Prec@5 55.078 (52.539)
Epoch: [4][3160/5005] Time 0.201 (0.224) Data 0.045 (0.076) Loss 3.4727 (3.4612) Prec@1 31.250 (28.167) Prec@5 53.516 (52.543)
Epoch: [4][3170/5005] Time 0.376 (0.224) Data 0.291 (0.076) Loss 3.5160 (3.4611) Prec@1 29.297 (28.169) Prec@5 51.562 (52.548)
Epoch: [4][3180/5005] Time 0.207 (0.224) Data 0.046 (0.076) Loss 3.1125 (3.4610) Prec@1 35.547 (28.170) Prec@5 58.203 (52.551)
Epoch: [4][3190/5005] Time 0.201 (0.224) Data 0.041 (0.076) Loss 3.4021 (3.4610) Prec@1 32.422 (28.173) Prec@5 57.031 (52.554)
Epoch: [4][3200/5005] Time 0.331 (0.224) Data 0.247 (0.076) Loss 3.3866 (3.4607) Prec@1 26.172 (28.177) Prec@5 51.953 (52.560)
Epoch: [4][3210/5005] Time 0.191 (0.224) Data 0.059 (0.076) Loss 3.6647 (3.4607) Prec@1 21.484 (28.175) Prec@5 51.562 (52.562)
Epoch: [4][3220/5005] Time 0.219 (0.224) Data 0.042 (0.076) Loss 3.5014 (3.4607) Prec@1 30.859 (28.181) Prec@5 50.391 (52.560)
Epoch: [4][3230/5005] Time 0.205 (0.224) Data 0.043 (0.076) Loss 3.3677 (3.4605) Prec@1 28.125 (28.185) Prec@5 57.812 (52.565)
Epoch: [4][3240/5005] Time 0.205 (0.224) Data 0.042 (0.076) Loss 3.7215 (3.4608) Prec@1 25.391 (28.179) Prec@5 48.047 (52.559)
Epoch: [4][3250/5005] Time 0.203 (0.224) Data 0.042 (0.076) Loss 3.3623 (3.4607) Prec@1 30.078 (28.181) Prec@5 53.125 (52.561)
Epoch: [4][3260/5005] Time 0.270 (0.224) Data 0.185 (0.076) Loss 3.3003 (3.4608) Prec@1 32.422 (28.181) Prec@5 53.516 (52.557)
Epoch: [4][3270/5005] Time 0.195 (0.224) Data 0.098 (0.076) Loss 3.5934 (3.4605) Prec@1 29.688 (28.183) Prec@5 50.000 (52.561)
Epoch: [4][3280/5005] Time 0.213 (0.224) Data 0.043 (0.076) Loss 3.4295 (3.4607) Prec@1 30.078 (28.179) Prec@5 51.953 (52.555)
Epoch: [4][3290/5005] Time 0.196 (0.224) Data 0.044 (0.077) Loss 3.4510 (3.4606) Prec@1 26.953 (28.180) Prec@5 53.125 (52.559)
Epoch: [4][3300/5005] Time 0.210 (0.224) Data 0.110 (0.077) Loss 3.4109 (3.4605) Prec@1 26.953 (28.181) Prec@5 52.734 (52.560)
Epoch: [4][3310/5005] Time 0.204 (0.224) Data 0.066 (0.077) Loss 3.2954 (3.4605) Prec@1 29.688 (28.180) Prec@5 54.688 (52.562)
Epoch: [4][3320/5005] Time 0.203 (0.224) Data 0.045 (0.076) Loss 3.4147 (3.4603) Prec@1 33.594 (28.183) Prec@5 52.344 (52.567)
Epoch: [4][3330/5005] Time 0.202 (0.224) Data 0.045 (0.076) Loss 3.4579 (3.4601) Prec@1 27.734 (28.186) Prec@5 52.734 (52.570)
Epoch: [4][3340/5005] Time 0.343 (0.224) Data 0.256 (0.076) Loss 3.5075 (3.4600) Prec@1 27.734 (28.187) Prec@5 51.953 (52.572)
Epoch: [4][3350/5005] Time 0.193 (0.224) Data 0.063 (0.076) Loss 3.5909 (3.4600) Prec@1 26.562 (28.185) Prec@5 48.047 (52.570)
Epoch: [4][3360/5005] Time 0.210 (0.224) Data 0.045 (0.076) Loss 3.4000 (3.4599) Prec@1 27.344 (28.186) Prec@5 57.812 (52.575)
Epoch: [4][3370/5005] Time 0.206 (0.224) Data 0.039 (0.076) Loss 3.3148 (3.4598) Prec@1 29.688 (28.192) Prec@5 56.250 (52.579)
Epoch: [4][3380/5005] Time 0.206 (0.224) Data 0.042 (0.076) Loss 3.2325 (3.4596) Prec@1 31.250 (28.195) Prec@5 55.469 (52.584)
Epoch: [4][3390/5005] Time 0.211 (0.224) Data 0.091 (0.077) Loss 3.3629 (3.4596) Prec@1 29.688 (28.191) Prec@5 53.516 (52.581)
Epoch: [4][3400/5005] Time 0.198 (0.224) Data 0.048 (0.077) Loss 3.3150 (3.4597) Prec@1 32.031 (28.189) Prec@5 55.469 (52.582)
Epoch: [4][3410/5005] Time 0.194 (0.224) Data 0.049 (0.077) Loss 3.4020 (3.4595) Prec@1 29.688 (28.191) Prec@5 53.125 (52.586)
Epoch: [4][3420/5005] Time 0.197 (0.224) Data 0.053 (0.077) Loss 3.3751 (3.4594) Prec@1 32.031 (28.195) Prec@5 54.688 (52.583)
Epoch: [4][3430/5005] Time 0.197 (0.224) Data 0.046 (0.077) Loss 3.3035 (3.4593) Prec@1 32.422 (28.198) Prec@5 53.516 (52.584)
Epoch: [4][3440/5005] Time 0.203 (0.224) Data 0.047 (0.077) Loss 3.5313 (3.4592) Prec@1 25.000 (28.200) Prec@5 50.000 (52.585)
Epoch: [4][3450/5005] Time 0.199 (0.224) Data 0.046 (0.077) Loss 3.2464 (3.4590) Prec@1 30.469 (28.202) Prec@5 55.859 (52.590)
Epoch: [4][3460/5005] Time 0.196 (0.224) Data 0.041 (0.077) Loss 3.2869 (3.4590) Prec@1 32.031 (28.204) Prec@5 58.203 (52.589)
Epoch: [4][3470/5005] Time 0.197 (0.224) Data 0.062 (0.077) Loss 3.2828 (3.4588) Prec@1 30.859 (28.205) Prec@5 57.031 (52.592)
Epoch: [4][3480/5005] Time 0.202 (0.224) Data 0.049 (0.077) Loss 3.4284 (3.4585) Prec@1 30.859 (28.210) Prec@5 53.516 (52.596)
Epoch: [4][3490/5005] Time 0.210 (0.224) Data 0.057 (0.077) Loss 3.4018 (3.4584) Prec@1 28.906 (28.214) Prec@5 54.688 (52.595)
Epoch: [4][3500/5005] Time 0.205 (0.224) Data 0.054 (0.077) Loss 3.1791 (3.4584) Prec@1 30.469 (28.212) Prec@5 59.375 (52.594)
Epoch: [4][3510/5005] Time 0.237 (0.224) Data 0.152 (0.077) Loss 3.4486 (3.4583) Prec@1 26.562 (28.212) Prec@5 51.172 (52.597)
Epoch: [4][3520/5005] Time 0.201 (0.224) Data 0.053 (0.077) Loss 3.4363 (3.4582) Prec@1 28.516 (28.214) Prec@5 50.391 (52.596)
Epoch: [4][3530/5005] Time 0.195 (0.224) Data 0.050 (0.077) Loss 3.3500 (3.4580) Prec@1 32.031 (28.220) Prec@5 57.031 (52.602)
Epoch: [4][3540/5005] Time 0.200 (0.224) Data 0.043 (0.077) Loss 3.2526 (3.4578) Prec@1 30.469 (28.222) Prec@5 57.031 (52.607)
Epoch: [4][3550/5005] Time 0.194 (0.224) Data 0.044 (0.077) Loss 3.3687 (3.4574) Prec@1 27.734 (28.226) Prec@5 51.562 (52.612)
Epoch: [4][3560/5005] Time 0.203 (0.224) Data 0.065 (0.077) Loss 3.4617 (3.4574) Prec@1 28.906 (28.227) Prec@5 53.516 (52.614)
Epoch: [4][3570/5005] Time 0.203 (0.224) Data 0.047 (0.077) Loss 3.3991 (3.4573) Prec@1 30.469 (28.231) Prec@5 55.469 (52.617)
Epoch: [4][3580/5005] Time 0.207 (0.224) Data 0.044 (0.077) Loss 3.5080 (3.4573) Prec@1 29.688 (28.230) Prec@5 49.219 (52.615)
Epoch: [4][3590/5005] Time 0.204 (0.224) Data 0.052 (0.077) Loss 3.4552 (3.4570) Prec@1 27.734 (28.234) Prec@5 53.125 (52.621)
Epoch: [4][3600/5005] Time 0.195 (0.224) Data 0.054 (0.077) Loss 3.5472 (3.4568) Prec@1 28.516 (28.237) Prec@5 52.344 (52.625)
Epoch: [4][3610/5005] Time 0.187 (0.224) Data 0.043 (0.077) Loss 3.3741 (3.4567) Prec@1 32.422 (28.240) Prec@5 52.344 (52.627)
Epoch: [4][3620/5005] Time 0.188 (0.224) Data 0.100 (0.077) Loss 3.6193 (3.4565) Prec@1 24.219 (28.242) Prec@5 47.656 (52.632)
Epoch: [4][3630/5005] Time 0.212 (0.224) Data 0.051 (0.077) Loss 3.7711 (3.4564) Prec@1 25.000 (28.244) Prec@5 48.828 (52.635)
Epoch: [4][3640/5005] Time 0.207 (0.224) Data 0.042 (0.077) Loss 3.5345 (3.4562) Prec@1 27.344 (28.249) Prec@5 52.344 (52.636)
Epoch: [4][3650/5005] Time 0.210 (0.224) Data 0.045 (0.077) Loss 3.2436 (3.4562) Prec@1 27.344 (28.247) Prec@5 58.984 (52.638)
Epoch: [4][3660/5005] Time 0.305 (0.224) Data 0.215 (0.077) Loss 3.4865 (3.4559) Prec@1 27.734 (28.248) Prec@5 49.219 (52.640)
Epoch: [4][3670/5005] Time 0.202 (0.224) Data 0.055 (0.077) Loss 3.5839 (3.4559) Prec@1 28.125 (28.250) Prec@5 48.828 (52.642)
Epoch: [4][3680/5005] Time 0.203 (0.224) Data 0.047 (0.077) Loss 3.5773 (3.4561) Prec@1 24.219 (28.248) Prec@5 49.219 (52.640)
Epoch: [4][3690/5005] Time 0.199 (0.224) Data 0.061 (0.077) Loss 3.2996 (3.4559) Prec@1 26.562 (28.248) Prec@5 57.031 (52.645)
Epoch: [4][3700/5005] Time 0.499 (0.224) Data 0.413 (0.077) Loss 3.5165 (3.4558) Prec@1 24.609 (28.248) Prec@5 49.609 (52.645)
Epoch: [4][3710/5005] Time 0.192 (0.224) Data 0.050 (0.077) Loss 3.2718 (3.4558) Prec@1 29.297 (28.248) Prec@5 50.781 (52.642)
Epoch: [4][3720/5005] Time 0.197 (0.224) Data 0.050 (0.077) Loss 3.7766 (3.4558) Prec@1 26.953 (28.251) Prec@5 48.438 (52.641)
Epoch: [4][3730/5005] Time 0.202 (0.224) Data 0.053 (0.077) Loss 3.2779 (3.4556) Prec@1 32.812 (28.257) Prec@5 56.250 (52.646)
Epoch: [4][3740/5005] Time 0.208 (0.224) Data 0.043 (0.077) Loss 3.3925 (3.4550) Prec@1 29.297 (28.262) Prec@5 52.344 (52.655)
Epoch: [4][3750/5005] Time 0.200 (0.224) Data 0.043 (0.077) Loss 3.2626 (3.4550) Prec@1 32.031 (28.263) Prec@5 56.250 (52.656)
Epoch: [4][3760/5005] Time 0.206 (0.224) Data 0.044 (0.077) Loss 3.6519 (3.4551) Prec@1 23.438 (28.261) Prec@5 51.953 (52.656)
Epoch: [4][3770/5005] Time 0.507 (0.224) Data 0.422 (0.077) Loss 3.5474 (3.4549) Prec@1 32.031 (28.263) Prec@5 49.219 (52.656)
Epoch: [4][3780/5005] Time 0.217 (0.224) Data 0.043 (0.077) Loss 3.4233 (3.4547) Prec@1 27.734 (28.265) Prec@5 51.953 (52.659)
Epoch: [4][3790/5005] Time 0.404 (0.224) Data 0.317 (0.077) Loss 3.5329 (3.4547) Prec@1 27.734 (28.261) Prec@5 50.000 (52.659)
Epoch: [4][3800/5005] Time 0.208 (0.224) Data 0.044 (0.077) Loss 3.3420 (3.4548) Prec@1 30.469 (28.259) Prec@5 55.469 (52.660)
Epoch: [4][3810/5005] Time 0.205 (0.224) Data 0.050 (0.077) Loss 3.5075 (3.4548) Prec@1 29.688 (28.258) Prec@5 55.859 (52.660)
Epoch: [4][3820/5005] Time 0.202 (0.224) Data 0.044 (0.077) Loss 3.2363 (3.4547) Prec@1 31.250 (28.260) Prec@5 56.641 (52.665)
Epoch: [4][3830/5005] Time 0.203 (0.224) Data 0.041 (0.077) Loss 3.5330 (3.4546) Prec@1 27.734 (28.260) Prec@5 48.828 (52.664)
Epoch: [4][3840/5005] Time 0.198 (0.224) Data 0.062 (0.077) Loss 3.7308 (3.4546) Prec@1 23.047 (28.262) Prec@5 49.609 (52.665)
Epoch: [4][3850/5005] Time 0.187 (0.224) Data 0.056 (0.077) Loss 3.5092 (3.4546) Prec@1 24.219 (28.264) Prec@5 52.344 (52.670)
Epoch: [4][3860/5005] Time 0.201 (0.224) Data 0.060 (0.077) Loss 3.2101 (3.4544) Prec@1 34.766 (28.266) Prec@5 55.078 (52.672)
Epoch: [4][3870/5005] Time 0.199 (0.224) Data 0.041 (0.077) Loss 3.3897 (3.4544) Prec@1 27.344 (28.266) Prec@5 53.906 (52.669)
Epoch: [4][3880/5005] Time 0.208 (0.224) Data 0.044 (0.077) Loss 3.4036 (3.4544) Prec@1 28.906 (28.265) Prec@5 48.828 (52.669)
Epoch: [4][3890/5005] Time 0.206 (0.224) Data 0.044 (0.077) Loss 3.6260 (3.4544) Prec@1 25.391 (28.265) Prec@5 51.953 (52.671)
Epoch: [4][3900/5005] Time 0.231 (0.224) Data 0.150 (0.077) Loss 3.7861 (3.4545) Prec@1 23.047 (28.264) Prec@5 45.703 (52.670)
Epoch: [4][3910/5005] Time 0.208 (0.224) Data 0.046 (0.077) Loss 3.2843 (3.4543) Prec@1 29.688 (28.265) Prec@5 55.078 (52.675)
Epoch: [4][3920/5005] Time 0.413 (0.224) Data 0.328 (0.077) Loss 3.5135 (3.4543) Prec@1 30.078 (28.268) Prec@5 52.734 (52.675)
Epoch: [4][3930/5005] Time 0.215 (0.224) Data 0.044 (0.077) Loss 3.3541 (3.4541) Prec@1 28.906 (28.269) Prec@5 53.906 (52.678)
Epoch: [4][3940/5005] Time 0.203 (0.224) Data 0.045 (0.077) Loss 3.3750 (3.4541) Prec@1 28.906 (28.271) Prec@5 56.250 (52.678)
Epoch: [4][3950/5005] Time 0.206 (0.224) Data 0.049 (0.077) Loss 3.3077 (3.4539) Prec@1 29.688 (28.272) Prec@5 55.078 (52.681)
Epoch: [4][3960/5005] Time 0.211 (0.224) Data 0.067 (0.077) Loss 3.0857 (3.4537) Prec@1 33.203 (28.274) Prec@5 61.328 (52.684)
Epoch: [4][3970/5005] Time 0.437 (0.224) Data 0.351 (0.077) Loss 3.5047 (3.4536) Prec@1 28.906 (28.276) Prec@5 56.250 (52.686)
Epoch: [4][3980/5005] Time 0.196 (0.224) Data 0.117 (0.077) Loss 3.3347 (3.4535) Prec@1 28.125 (28.275) Prec@5 51.172 (52.686)
Epoch: [4][3990/5005] Time 0.200 (0.224) Data 0.046 (0.077) Loss 3.4658 (3.4534) Prec@1 27.734 (28.274) Prec@5 53.906 (52.687)
Epoch: [4][4000/5005] Time 0.192 (0.224) Data 0.095 (0.077) Loss 3.5755 (3.4533) Prec@1 23.438 (28.273) Prec@5 51.562 (52.687)
Epoch: [4][4010/5005] Time 0.212 (0.224) Data 0.045 (0.077) Loss 3.5653 (3.4531) Prec@1 24.219 (28.272) Prec@5 49.609 (52.692)
Epoch: [4][4020/5005] Time 0.207 (0.224) Data 0.122 (0.077) Loss 3.4653 (3.4530) Prec@1 29.688 (28.273) Prec@5 51.953 (52.694)
Epoch: [4][4030/5005] Time 0.208 (0.224) Data 0.041 (0.078) Loss 3.5802 (3.4532) Prec@1 26.953 (28.273) Prec@5 51.562 (52.693)
Epoch: [4][4040/5005] Time 0.207 (0.224) Data 0.047 (0.078) Loss 3.3863 (3.4533) Prec@1 30.469 (28.273) Prec@5 51.562 (52.690)
Epoch: [4][4050/5005] Time 0.207 (0.224) Data 0.040 (0.078) Loss 3.6607 (3.4531) Prec@1 27.344 (28.275) Prec@5 49.219 (52.694)
Epoch: [4][4060/5005] Time 0.205 (0.224) Data 0.044 (0.077) Loss 3.3829 (3.4531) Prec@1 24.219 (28.276) Prec@5 53.125 (52.693)
Epoch: [4][4070/5005] Time 0.210 (0.224) Data 0.041 (0.078) Loss 3.4788 (3.4530) Prec@1 30.469 (28.277) Prec@5 53.906 (52.694)
Epoch: [4][4080/5005] Time 0.200 (0.224) Data 0.095 (0.078) Loss 3.3727 (3.4529) Prec@1 28.906 (28.279) Prec@5 57.422 (52.694)
Epoch: [4][4090/5005] Time 0.198 (0.224) Data 0.048 (0.078) Loss 3.4640 (3.4528) Prec@1 30.469 (28.282) Prec@5 51.953 (52.695)
Epoch: [4][4100/5005] Time 0.224 (0.224) Data 0.133 (0.078) Loss 3.4297 (3.4528) Prec@1 28.516 (28.283) Prec@5 50.781 (52.695)
Epoch: [4][4110/5005] Time 0.196 (0.224) Data 0.094 (0.078) Loss 3.6936 (3.4528) Prec@1 24.609 (28.281) Prec@5 51.562 (52.694)
Epoch: [4][4120/5005] Time 0.206 (0.224) Data 0.047 (0.078) Loss 3.5906 (3.4526) Prec@1 26.562 (28.282) Prec@5 51.562 (52.697)
Epoch: [4][4130/5005] Time 0.202 (0.224) Data 0.041 (0.078) Loss 3.6155 (3.4525) Prec@1 26.172 (28.283) Prec@5 49.609 (52.699)
Epoch: [4][4140/5005] Time 0.209 (0.224) Data 0.044 (0.078) Loss 3.4043 (3.4523) Prec@1 28.125 (28.287) Prec@5 51.953 (52.703)
Epoch: [4][4150/5005] Time 0.203 (0.224) Data 0.048 (0.078) Loss 3.5365 (3.4523) Prec@1 28.906 (28.286) Prec@5 50.391 (52.704)
Epoch: [4][4160/5005] Time 0.205 (0.224) Data 0.043 (0.078) Loss 3.3518 (3.4523) Prec@1 28.516 (28.286) Prec@5 54.297 (52.702)
Epoch: [4][4170/5005] Time 0.203 (0.224) Data 0.040 (0.078) Loss 3.2372 (3.4522) Prec@1 30.469 (28.288) Prec@5 56.641 (52.706)
Epoch: [4][4180/5005] Time 0.343 (0.224) Data 0.248 (0.078) Loss 3.3085 (3.4520) Prec@1 30.469 (28.290) Prec@5 56.250 (52.709)
Epoch: [4][4190/5005] Time 0.249 (0.224) Data 0.169 (0.078) Loss 3.3177 (3.4520) Prec@1 30.859 (28.289) Prec@5 55.469 (52.712)
Epoch: [4][4200/5005] Time 0.208 (0.224) Data 0.046 (0.078) Loss 3.1381 (3.4518) Prec@1 32.812 (28.291) Prec@5 59.766 (52.716)
Epoch: [4][4210/5005] Time 0.199 (0.224) Data 0.045 (0.078) Loss 3.5023 (3.4516) Prec@1 26.953 (28.293) Prec@5 47.656 (52.719)
Epoch: [4][4220/5005] Time 0.204 (0.224) Data 0.047 (0.078) Loss 3.4744 (3.4517) Prec@1 28.516 (28.293) Prec@5 52.344 (52.717)
Epoch: [4][4230/5005] Time 0.203 (0.224) Data 0.039 (0.078) Loss 3.5033 (3.4517) Prec@1 28.906 (28.293) Prec@5 51.172 (52.715)
Epoch: [4][4240/5005] Time 0.200 (0.224) Data 0.039 (0.078) Loss 3.1911 (3.4517) Prec@1 29.688 (28.293) Prec@5 55.078 (52.714)
Epoch: [4][4250/5005] Time 0.207 (0.224) Data 0.048 (0.078) Loss 3.2488 (3.4515) Prec@1 34.375 (28.299) Prec@5 59.766 (52.718)
Epoch: [4][4260/5005] Time 0.201 (0.224) Data 0.042 (0.078) Loss 3.4580 (3.4515) Prec@1 27.344 (28.300) Prec@5 52.344 (52.720)
Epoch: [4][4270/5005] Time 0.221 (0.224) Data 0.132 (0.078) Loss 3.7753 (3.4516) Prec@1 22.656 (28.299) Prec@5 47.266 (52.719)
Epoch: [4][4280/5005] Time 0.205 (0.224) Data 0.048 (0.078) Loss 3.4397 (3.4516) Prec@1 26.172 (28.298) Prec@5 52.734 (52.720)
Epoch: [4][4290/5005] Time 0.200 (0.224) Data 0.047 (0.078) Loss 3.4813 (3.4515) Prec@1 30.469 (28.301) Prec@5 50.000 (52.723)
Epoch: [4][4300/5005] Time 0.211 (0.224) Data 0.046 (0.078) Loss 3.3269 (3.4514) Prec@1 27.344 (28.302) Prec@5 55.469 (52.724)
Epoch: [4][4310/5005] Time 0.194 (0.224) Data 0.044 (0.078) Loss 3.2084 (3.4513) Prec@1 32.031 (28.304) Prec@5 56.250 (52.725)
Epoch: [4][4320/5005] Time 0.200 (0.224) Data 0.047 (0.078) Loss 3.4821 (3.4513) Prec@1 28.125 (28.307) Prec@5 53.125 (52.726)
Epoch: [4][4330/5005] Time 0.202 (0.224) Data 0.053 (0.078) Loss 3.3870 (3.4512) Prec@1 29.688 (28.313) Prec@5 54.297 (52.730)
Epoch: [4][4340/5005] Time 0.211 (0.224) Data 0.047 (0.078) Loss 3.3856 (3.4511) Prec@1 30.469 (28.314) Prec@5 51.953 (52.729)
Epoch: [4][4350/5005] Time 0.187 (0.224) Data 0.084 (0.078) Loss 3.4369 (3.4510) Prec@1 33.203 (28.315) Prec@5 53.516 (52.732)
Epoch: [4][4360/5005] Time 0.199 (0.224) Data 0.039 (0.078) Loss 3.4669 (3.4509) Prec@1 27.734 (28.314) Prec@5 52.344 (52.731)
Epoch: [4][4370/5005] Time 0.203 (0.224) Data 0.041 (0.078) Loss 3.3739 (3.4507) Prec@1 26.562 (28.320) Prec@5 55.469 (52.734)
Epoch: [4][4380/5005] Time 0.197 (0.224) Data 0.046 (0.078) Loss 3.4098 (3.4506) Prec@1 30.469 (28.321) Prec@5 53.516 (52.735)
Epoch: [4][4390/5005] Time 0.220 (0.224) Data 0.046 (0.078) Loss 3.4609 (3.4503) Prec@1 32.031 (28.329) Prec@5 50.781 (52.741)
Epoch: [4][4400/5005] Time 0.209 (0.224) Data 0.092 (0.078) Loss 3.3238 (3.4501) Prec@1 28.516 (28.330) Prec@5 52.734 (52.740)
Epoch: [4][4410/5005] Time 0.503 (0.224) Data 0.409 (0.078) Loss 3.4329 (3.4501) Prec@1 26.172 (28.330) Prec@5 51.562 (52.740)
Epoch: [4][4420/5005] Time 0.191 (0.224) Data 0.044 (0.078) Loss 3.2360 (3.4500) Prec@1 27.344 (28.329) Prec@5 57.422 (52.739)
Epoch: [4][4430/5005] Time 0.206 (0.224) Data 0.041 (0.078) Loss 3.4410 (3.4497) Prec@1 29.297 (28.334) Prec@5 51.953 (52.745)
Epoch: [4][4440/5005] Time 0.204 (0.224) Data 0.041 (0.078) Loss 3.5238 (3.4495) Prec@1 26.562 (28.336) Prec@5 50.781 (52.747)
Epoch: [4][4450/5005] Time 0.218 (0.224) Data 0.140 (0.078) Loss 3.1762 (3.4494) Prec@1 28.125 (28.336) Prec@5 58.594 (52.748)
Epoch: [4][4460/5005] Time 0.491 (0.224) Data 0.410 (0.078) Loss 3.4820 (3.4491) Prec@1 28.906 (28.340) Prec@5 53.125 (52.751)
Epoch: [4][4470/5005] Time 0.201 (0.224) Data 0.098 (0.078) Loss 3.4329 (3.4491) Prec@1 28.906 (28.340) Prec@5 51.953 (52.752)
Epoch: [4][4480/5005] Time 0.209 (0.224) Data 0.048 (0.078) Loss 3.2070 (3.4492) Prec@1 33.203 (28.341) Prec@5 56.641 (52.751)
Epoch: [4][4490/5005] Time 0.204 (0.224) Data 0.044 (0.078) Loss 3.3989 (3.4491) Prec@1 30.469 (28.343) Prec@5 51.172 (52.751)
Epoch: [4][4500/5005] Time 0.210 (0.224) Data 0.043 (0.078) Loss 3.3950 (3.4490) Prec@1 25.781 (28.342) Prec@5 55.469 (52.755)
Epoch: [4][4510/5005] Time 0.202 (0.224) Data 0.046 (0.078) Loss 3.2459 (3.4488) Prec@1 32.812 (28.344) Prec@5 57.812 (52.756)
Epoch: [4][4520/5005] Time 0.202 (0.224) Data 0.050 (0.078) Loss 3.4633 (3.4487) Prec@1 29.688 (28.348) Prec@5 54.297 (52.760)
Epoch: [4][4530/5005] Time 0.208 (0.224) Data 0.042 (0.078) Loss 3.2892 (3.4486) Prec@1 31.250 (28.353) Prec@5 60.156 (52.765)
Epoch: [4][4540/5005] Time 0.197 (0.224) Data 0.076 (0.078) Loss 3.6557 (3.4488) Prec@1 26.562 (28.350) Prec@5 51.953 (52.761)
Epoch: [4][4550/5005] Time 0.195 (0.224) Data 0.060 (0.078) Loss 3.5119 (3.4488) Prec@1 28.125 (28.349) Prec@5 51.562 (52.760)
Epoch: [4][4560/5005] Time 0.192 (0.224) Data 0.050 (0.078) Loss 3.4392 (3.4486) Prec@1 28.125 (28.351) Prec@5 53.516 (52.762)
Epoch: [4][4570/5005] Time 0.209 (0.224) Data 0.056 (0.079) Loss 3.5485 (3.4485) Prec@1 26.953 (28.351) Prec@5 53.125 (52.765)
Epoch: [4][4580/5005] Time 0.216 (0.224) Data 0.047 (0.079) Loss 3.5220 (3.4484) Prec@1 23.828 (28.355) Prec@5 50.781 (52.767)
Epoch: [4][4590/5005] Time 0.200 (0.224) Data 0.044 (0.079) Loss 3.2467 (3.4483) Prec@1 30.469 (28.356) Prec@5 53.516 (52.769)
Epoch: [4][4600/5005] Time 0.205 (0.224) Data 0.052 (0.079) Loss 3.0763 (3.4482) Prec@1 35.938 (28.358) Prec@5 60.547 (52.769)
Epoch: [4][4610/5005] Time 0.198 (0.224) Data 0.094 (0.079) Loss 3.2881 (3.4481) Prec@1 26.953 (28.361) Prec@5 55.078 (52.772)
Epoch: [4][4620/5005] Time 0.314 (0.224) Data 0.229 (0.079) Loss 3.1514 (3.4480) Prec@1 32.422 (28.365) Prec@5 58.594 (52.774)
Epoch: [4][4630/5005] Time 0.212 (0.224) Data 0.048 (0.079) Loss 3.2997 (3.4479) Prec@1 30.469 (28.363) Prec@5 59.375 (52.777)
Epoch: [4][4640/5005] Time 0.205 (0.224) Data 0.046 (0.079) Loss 3.4248 (3.4478) Prec@1 29.688 (28.362) Prec@5 54.688 (52.781)
Epoch: [4][4650/5005] Time 0.196 (0.224) Data 0.091 (0.079) Loss 3.4170 (3.4477) Prec@1 27.344 (28.362) Prec@5 51.172 (52.783)
Epoch: [4][4660/5005] Time 0.199 (0.224) Data 0.097 (0.079) Loss 3.6030 (3.4476) Prec@1 28.125 (28.363) Prec@5 48.438 (52.784)
Epoch: [4][4670/5005] Time 0.198 (0.224) Data 0.043 (0.079) Loss 3.1653 (3.4474) Prec@1 31.250 (28.365) Prec@5 56.641 (52.787)
Epoch: [4][4680/5005] Time 0.201 (0.224) Data 0.049 (0.079) Loss 3.2609 (3.4473) Prec@1 30.859 (28.365) Prec@5 55.859 (52.788)
Epoch: [4][4690/5005] Time 0.206 (0.224) Data 0.039 (0.079) Loss 3.4263 (3.4473) Prec@1 26.172 (28.367) Prec@5 50.781 (52.787)
Epoch: [4][4700/5005] Time 0.213 (0.224) Data 0.048 (0.079) Loss 3.4063 (3.4473) Prec@1 26.953 (28.369) Prec@5 52.734 (52.790)
Epoch: [4][4710/5005] Time 0.199 (0.224) Data 0.105 (0.079) Loss 3.3016 (3.4470) Prec@1 30.469 (28.372) Prec@5 57.422 (52.793)
Epoch: [4][4720/5005] Time 0.202 (0.224) Data 0.045 (0.079) Loss 3.3047 (3.4470) Prec@1 31.250 (28.377) Prec@5 55.469 (52.794)
Epoch: [4][4730/5005] Time 0.243 (0.224) Data 0.150 (0.079) Loss 3.4282 (3.4471) Prec@1 30.859 (28.376) Prec@5 50.781 (52.790)
Epoch: [4][4740/5005] Time 0.216 (0.224) Data 0.045 (0.079) Loss 3.3259 (3.4470) Prec@1 28.906 (28.378) Prec@5 53.516 (52.795)
Epoch: [4][4750/5005] Time 0.210 (0.224) Data 0.042 (0.079) Loss 3.4948 (3.4469) Prec@1 23.828 (28.381) Prec@5 51.953 (52.794)
Epoch: [4][4760/5005] Time 0.197 (0.224) Data 0.046 (0.079) Loss 3.7767 (3.4467) Prec@1 21.484 (28.381) Prec@5 47.656 (52.797)
Epoch: [4][4770/5005] Time 0.196 (0.224) Data 0.045 (0.079) Loss 3.2816 (3.4466) Prec@1 30.859 (28.382) Prec@5 54.688 (52.801)
Epoch: [4][4780/5005] Time 0.186 (0.224) Data 0.061 (0.079) Loss 3.4670 (3.4465) Prec@1 28.906 (28.384) Prec@5 51.562 (52.804)
Epoch: [4][4790/5005] Time 0.202 (0.224) Data 0.046 (0.079) Loss 3.5661 (3.4465) Prec@1 28.906 (28.387) Prec@5 49.609 (52.805)
Epoch: [4][4800/5005] Time 0.404 (0.224) Data 0.318 (0.079) Loss 3.5354 (3.4463) Prec@1 24.609 (28.387) Prec@5 49.219 (52.808)
Epoch: [4][4810/5005] Time 0.360 (0.224) Data 0.275 (0.079) Loss 3.6556 (3.4462) Prec@1 22.656 (28.388) Prec@5 50.000 (52.811)
Epoch: [4][4820/5005] Time 0.210 (0.224) Data 0.042 (0.079) Loss 3.4895 (3.4460) Prec@1 25.000 (28.391) Prec@5 50.391 (52.815)
Epoch: [4][4830/5005] Time 0.200 (0.224) Data 0.048 (0.079) Loss 3.3981 (3.4458) Prec@1 30.469 (28.396) Prec@5 54.688 (52.820)
Epoch: [4][4840/5005] Time 0.204 (0.224) Data 0.039 (0.079) Loss 3.1535 (3.4459) Prec@1 33.984 (28.393) Prec@5 55.469 (52.817)
Epoch: [4][4850/5005] Time 0.206 (0.224) Data 0.042 (0.079) Loss 3.5144 (3.4460) Prec@1 25.000 (28.391) Prec@5 51.953 (52.817)
Epoch: [4][4860/5005] Time 0.207 (0.224) Data 0.041 (0.079) Loss 3.3840 (3.4459) Prec@1 30.469 (28.395) Prec@5 55.469 (52.818)
Epoch: [4][4870/5005] Time 0.213 (0.224) Data 0.041 (0.079) Loss 3.2222 (3.4458) Prec@1 32.031 (28.396) Prec@5 56.641 (52.821)
Epoch: [4][4880/5005] Time 0.195 (0.224) Data 0.049 (0.079) Loss 3.3558 (3.4456) Prec@1 30.078 (28.399) Prec@5 55.469 (52.824)
Epoch: [4][4890/5005] Time 0.198 (0.224) Data 0.045 (0.079) Loss 3.3196 (3.4455) Prec@1 31.641 (28.401) Prec@5 55.078 (52.827)
Epoch: [4][4900/5005] Time 0.269 (0.224) Data 0.190 (0.079) Loss 3.2705 (3.4454) Prec@1 30.859 (28.404) Prec@5 52.344 (52.828)
Epoch: [4][4910/5005] Time 0.204 (0.224) Data 0.045 (0.079) Loss 3.4037 (3.4452) Prec@1 29.297 (28.405) Prec@5 52.734 (52.831)
Epoch: [4][4920/5005] Time 0.211 (0.224) Data 0.043 (0.079) Loss 3.4390 (3.4451) Prec@1 25.000 (28.405) Prec@5 49.609 (52.830)
Epoch: [4][4930/5005] Time 0.212 (0.224) Data 0.127 (0.079) Loss 3.3560 (3.4449) Prec@1 30.469 (28.408) Prec@5 54.688 (52.833)
Epoch: [4][4940/5005] Time 0.365 (0.224) Data 0.280 (0.079) Loss 3.3307 (3.4450) Prec@1 30.078 (28.408) Prec@5 53.125 (52.830)
Epoch: [4][4950/5005] Time 0.204 (0.224) Data 0.042 (0.079) Loss 3.1184 (3.4450) Prec@1 32.812 (28.409) Prec@5 61.719 (52.831)
Epoch: [4][4960/5005] Time 0.199 (0.224) Data 0.050 (0.079) Loss 3.6639 (3.4450) Prec@1 25.000 (28.408) Prec@5 50.000 (52.832)
Epoch: [4][4970/5005] Time 0.202 (0.224) Data 0.042 (0.079) Loss 3.6653 (3.4450) Prec@1 24.609 (28.407) Prec@5 47.266 (52.831)
Epoch: [4][4980/5005] Time 0.198 (0.224) Data 0.056 (0.079) Loss 3.4984 (3.4448) Prec@1 27.344 (28.409) Prec@5 53.906 (52.834)
Epoch: [4][4990/5005] Time 0.198 (0.224) Data 0.040 (0.079) Loss 3.5200 (3.4447) Prec@1 26.562 (28.413) Prec@5 49.219 (52.837)
Epoch: [4][5000/5005] Time 0.264 (0.224) Data 0.174 (0.079) Loss 3.5242 (3.4446) Prec@1 25.781 (28.411) Prec@5 48.438 (52.835)
Test: [0/196] Time 2.625 (2.625) Loss 3.2655 (3.2655) Prec@1 33.594 (33.594) Prec@5 58.594 (58.594)
Test: [10/196] Time 0.042 (0.436) Loss 3.3821 (3.3542) Prec@1 28.906 (29.794) Prec@5 53.125 (54.794)
Test: [20/196] Time 0.043 (0.305) Loss 3.3228 (3.3838) Prec@1 29.688 (29.371) Prec@5 55.859 (54.539)
Test: [30/196] Time 0.042 (0.269) Loss 3.2870 (3.4062) Prec@1 28.516 (28.793) Prec@5 57.422 (54.209)
Test: [40/196] Time 0.754 (0.271) Loss 3.2238 (3.4102) Prec@1 33.594 (29.192) Prec@5 55.859 (54.011)
Test: [50/196] Time 0.044 (0.259) Loss 3.4345 (3.4182) Prec@1 26.562 (29.274) Prec@5 56.641 (53.738)
Test: [60/196] Time 0.042 (0.249) Loss 3.2076 (3.4005) Prec@1 33.594 (29.502) Prec@5 53.516 (54.002)
Test: [70/196] Time 0.043 (0.244) Loss 3.3526 (3.3968) Prec@1 30.469 (29.500) Prec@5 51.953 (54.000)
Test: [80/196] Time 0.042 (0.244) Loss 3.1877 (3.3972) Prec@1 30.078 (29.379) Prec@5 59.375 (54.056)
Test: [90/196] Time 0.051 (0.242) Loss 3.3927 (3.4019) Prec@1 30.078 (29.370) Prec@5 57.812 (54.026)
Test: [100/196] Time 0.043 (0.239) Loss 3.4397 (3.4015) Prec@1 31.250 (29.378) Prec@5 54.688 (54.069)
Test: [110/196] Time 0.043 (0.239) Loss 3.6043 (3.4031) Prec@1 26.953 (29.325) Prec@5 50.000 (54.065)
Test: [120/196] Time 0.042 (0.234) Loss 3.2188 (3.3999) Prec@1 28.906 (29.361) Prec@5 57.812 (54.113)
Test: [130/196] Time 0.417 (0.235) Loss 3.0359 (3.3956) Prec@1 27.734 (29.371) Prec@5 57.812 (54.210)
Test: [140/196] Time 0.181 (0.236) Loss 3.1598 (3.3933) Prec@1 32.422 (29.391) Prec@5 55.859 (54.200)
Test: [150/196] Time 0.356 (0.236) Loss 3.1357 (3.3887) Prec@1 30.859 (29.540) Prec@5 60.156 (54.354)
Test: [160/196] Time 0.049 (0.235) Loss 3.2318 (3.3842) Prec@1 34.375 (29.654) Prec@5 54.297 (54.394)
Test: [170/196] Time 0.043 (0.234) Loss 3.1381 (3.3856) Prec@1 31.641 (29.617) Prec@5 59.766 (54.347)
Test: [180/196] Time 0.400 (0.233) Loss 3.6215 (3.3896) Prec@1 27.734 (29.569) Prec@5 48.047 (54.269)
Test: [190/196] Time 0.297 (0.234) Loss 3.6427 (3.3911) Prec@1 25.000 (29.516) Prec@5 49.219 (54.262)
* Prec@1 29.482 Prec@5 54.258
Learning rate: 0.001
Epoch: [5][0/5005] Time 2.020 (2.020) Data 1.915 (1.915) Loss 3.2291 (3.2291) Prec@1 30.469 (30.469) Prec@5 57.812 (57.812)
Epoch: [5][10/5005] Time 0.203 (0.366) Data 0.046 (0.221) Loss 3.2540 (3.3509) Prec@1 28.906 (29.013) Prec@5 56.250 (54.190)
Epoch: [5][20/5005] Time 0.200 (0.288) Data 0.044 (0.137) Loss 3.6676 (3.4204) Prec@1 26.562 (28.162) Prec@5 48.438 (53.199)
Epoch: [5][30/5005] Time 0.199 (0.260) Data 0.042 (0.107) Loss 3.4002 (3.3756) Prec@1 29.297 (28.957) Prec@5 52.344 (53.957)
Epoch: [5][40/5005] Time 0.202 (0.246) Data 0.041 (0.091) Loss 3.3935 (3.3919) Prec@1 29.297 (28.735) Prec@5 51.953 (54.002)
Epoch: [5][50/5005] Time 0.212 (0.237) Data 0.043 (0.082) Loss 3.2487 (3.3721) Prec@1 30.859 (29.059) Prec@5 58.203 (54.266)
Epoch: [5][60/5005] Time 0.200 (0.231) Data 0.058 (0.076) Loss 3.3605 (3.3775) Prec@1 27.344 (29.182) Prec@5 56.250 (54.028)
Epoch: [5][70/5005] Time 0.203 (0.227) Data 0.042 (0.072) Loss 3.2204 (3.3909) Prec@1 30.078 (28.939) Prec@5 52.344 (53.719)
Epoch: [5][80/5005] Time 0.192 (0.224) Data 0.044 (0.069) Loss 3.2817 (3.3900) Prec@1 28.125 (28.844) Prec@5 57.031 (53.646)
Epoch: [5][90/5005] Time 0.203 (0.221) Data 0.042 (0.066) Loss 3.4464 (3.3876) Prec@1 29.297 (28.889) Prec@5 53.906 (53.709)
Epoch: [5][100/5005] Time 0.196 (0.219) Data 0.050 (0.065) Loss 3.2061 (3.3863) Prec@1 28.125 (28.895) Prec@5 53.516 (53.752)
Epoch: [5][110/5005] Time 0.204 (0.220) Data 0.045 (0.063) Loss 3.3276 (3.3872) Prec@1 31.641 (29.096) Prec@5 53.516 (53.751)
Epoch: [5][120/5005] Time 0.206 (0.219) Data 0.042 (0.061) Loss 3.5159 (3.3902) Prec@1 25.781 (29.077) Prec@5 52.344 (53.745)
Epoch: [5][130/5005] Time 0.203 (0.217) Data 0.051 (0.061) Loss 3.3808 (3.3885) Prec@1 32.422 (29.106) Prec@5 52.734 (53.784)
Epoch: [5][140/5005] Time 0.195 (0.219) Data 0.050 (0.064) Loss 3.3673 (3.3868) Prec@1 32.812 (29.111) Prec@5 53.125 (53.779)
Epoch: [5][150/5005] Time 0.197 (0.221) Data 0.068 (0.069) Loss 3.5828 (3.3894) Prec@1 26.562 (29.113) Prec@5 50.781 (53.774)
Epoch: [5][160/5005] Time 0.199 (0.221) Data 0.103 (0.070) Loss 3.3342 (3.3895) Prec@1 30.078 (29.132) Prec@5 57.812 (53.841)
Epoch: [5][170/5005] Time 0.202 (0.221) Data 0.108 (0.071) Loss 3.5302 (3.3893) Prec@1 26.953 (29.094) Prec@5 53.906 (53.872)
Epoch: [5][180/5005] Time 0.255 (0.222) Data 0.169 (0.073) Loss 3.6565 (3.3898) Prec@1 26.172 (29.161) Prec@5 51.562 (53.911)
Epoch: [5][190/5005] Time 0.214 (0.224) Data 0.052 (0.075) Loss 3.5576 (3.3941) Prec@1 27.734 (29.094) Prec@5 49.609 (53.835)
Epoch: [5][200/5005] Time 0.210 (0.225) Data 0.046 (0.076) Loss 3.6728 (3.3950) Prec@1 26.172 (29.087) Prec@5 50.000 (53.840)
Epoch: [5][210/5005] Time 0.224 (0.225) Data 0.050 (0.076) Loss 3.2306 (3.3920) Prec@1 32.422 (29.102) Prec@5 56.250 (53.917)
Epoch: [5][220/5005] Time 0.221 (0.225) Data 0.050 (0.076) Loss 3.3063 (3.3901) Prec@1 30.469 (29.118) Prec@5 53.516 (53.912)
Epoch: [5][230/5005] Time 0.211 (0.226) Data 0.046 (0.077) Loss 3.4460 (3.3898) Prec@1 29.297 (29.126) Prec@5 51.953 (53.940)
Epoch: [5][240/5005] Time 0.206 (0.226) Data 0.045 (0.078) Loss 3.3075 (3.3903) Prec@1 34.375 (29.096) Prec@5 57.812 (53.892)
Epoch: [5][250/5005] Time 0.204 (0.226) Data 0.048 (0.078) Loss 3.6502 (3.3883) Prec@1 26.172 (29.154) Prec@5 48.828 (53.897)
Epoch: [5][260/5005] Time 0.212 (0.229) Data 0.048 (0.081) Loss 3.1970 (3.3875) Prec@1 29.297 (29.188) Prec@5 56.641 (53.878)
Epoch: [5][270/5005] Time 0.216 (0.229) Data 0.048 (0.081) Loss 3.4964 (3.3866) Prec@1 27.344 (29.203) Prec@5 52.344 (53.833)
Epoch: [5][280/5005] Time 0.208 (0.230) Data 0.064 (0.082) Loss 3.6773 (3.3886) Prec@1 26.172 (29.161) Prec@5 47.656 (53.821)
Epoch: [5][290/5005] Time 0.226 (0.229) Data 0.040 (0.081) Loss 3.2309 (3.3897) Prec@1 30.859 (29.121) Prec@5 55.859 (53.793)
Epoch: [5][300/5005] Time 0.410 (0.229) Data 0.324 (0.081) Loss 3.2308 (3.3903) Prec@1 32.031 (29.157) Prec@5 57.812 (53.793)
Epoch: [5][310/5005] Time 0.248 (0.230) Data 0.160 (0.082) Loss 3.1848 (3.3875) Prec@1 32.422 (29.224) Prec@5 57.812 (53.847)
Epoch: [5][320/5005] Time 0.224 (0.230) Data 0.139 (0.082) Loss 3.6460 (3.3887) Prec@1 27.344 (29.209) Prec@5 51.172 (53.844)
Epoch: [5][330/5005] Time 0.210 (0.231) Data 0.047 (0.083) Loss 3.0928 (3.3864) Prec@1 30.469 (29.258) Prec@5 55.469 (53.867)
Epoch: [5][340/5005] Time 0.333 (0.231) Data 0.246 (0.084) Loss 3.5510 (3.3902) Prec@1 26.953 (29.236) Prec@5 53.125 (53.797)
Epoch: [5][350/5005] Time 0.204 (0.231) Data 0.061 (0.084) Loss 3.5017 (3.3895) Prec@1 27.344 (29.227) Prec@5 52.344 (53.811)
Epoch: [5][360/5005] Time 0.219 (0.231) Data 0.044 (0.083) Loss 3.5281 (3.3884) Prec@1 28.125 (29.256) Prec@5 49.219 (53.800)
Epoch: [5][370/5005] Time 0.208 (0.230) Data 0.050 (0.082) Loss 3.4880 (3.3872) Prec@1 27.734 (29.237) Prec@5 48.438 (53.806)
Epoch: [5][380/5005] Time 0.217 (0.230) Data 0.041 (0.081) Loss 3.5241 (3.3873) Prec@1 28.516 (29.233) Prec@5 49.609 (53.797)
Epoch: [5][390/5005] Time 0.223 (0.229) Data 0.041 (0.080) Loss 3.2831 (3.3878) Prec@1 33.594 (29.251) Prec@5 58.203 (53.764)
Epoch: [5][400/5005] Time 0.216 (0.229) Data 0.050 (0.080) Loss 3.3785 (3.3866) Prec@1 26.172 (29.269) Prec@5 51.953 (53.797)
Epoch: [5][410/5005] Time 0.202 (0.229) Data 0.048 (0.079) Loss 3.1172 (3.3856) Prec@1 28.906 (29.285) Prec@5 58.984 (53.835)
Epoch: [5][420/5005] Time 0.221 (0.228) Data 0.044 (0.078) Loss 3.4200 (3.3850) Prec@1 30.859 (29.266) Prec@5 56.250 (53.871)
Epoch: [5][430/5005] Time 0.213 (0.228) Data 0.043 (0.077) Loss 3.2740 (3.3851) Prec@1 33.203 (29.296) Prec@5 57.812 (53.884)
Epoch: [5][440/5005] Time 0.227 (0.228) Data 0.046 (0.077) Loss 3.3970 (3.3849) Prec@1 28.906 (29.277) Prec@5 53.516 (53.865)
Epoch: [5][450/5005] Time 0.221 (0.228) Data 0.044 (0.076) Loss 3.2610 (3.3854) Prec@1 28.125 (29.248) Prec@5 52.734 (53.840)
Epoch: [5][460/5005] Time 0.212 (0.227) Data 0.042 (0.075) Loss 3.5797 (3.3874) Prec@1 22.266 (29.210) Prec@5 48.438 (53.805)
Epoch: [5][470/5005] Time 0.214 (0.227) Data 0.040 (0.075) Loss 3.2618 (3.3885) Prec@1 30.078 (29.194) Prec@5 55.469 (53.779)
Epoch: [5][480/5005] Time 0.210 (0.227) Data 0.039 (0.074) Loss 3.3532 (3.3884) Prec@1 25.781 (29.183) Prec@5 52.344 (53.776)
Epoch: [5][490/5005] Time 0.216 (0.227) Data 0.041 (0.073) Loss 3.3701 (3.3896) Prec@1 32.422 (29.157) Prec@5 53.516 (53.761)
Epoch: [5][500/5005] Time 0.220 (0.226) Data 0.042 (0.073) Loss 3.4644 (3.3913) Prec@1 26.172 (29.129) Prec@5 54.688 (53.732)
Epoch: [5][510/5005] Time 0.213 (0.226) Data 0.050 (0.072) Loss 3.7185 (3.3931) Prec@1 26.953 (29.135) Prec@5 46.484 (53.696)
Epoch: [5][520/5005] Time 0.225 (0.226) Data 0.042 (0.072) Loss 3.2937 (3.3925) Prec@1 28.906 (29.153) Prec@5 53.125 (53.690)
Epoch: [5][530/5005] Time 0.218 (0.226) Data 0.040 (0.072) Loss 3.2570 (3.3918) Prec@1 33.203 (29.159) Prec@5 57.812 (53.710)
Epoch: [5][540/5005] Time 0.214 (0.226) Data 0.042 (0.071) Loss 3.6569 (3.3924) Prec@1 24.609 (29.149) Prec@5 46.484 (53.703)
Epoch: [5][550/5005] Time 0.205 (0.225) Data 0.054 (0.071) Loss 3.2503 (3.3916) Prec@1 28.516 (29.179) Prec@5 58.984 (53.708)
Epoch: [5][560/5005] Time 0.214 (0.225) Data 0.053 (0.070) Loss 3.4929 (3.3906) Prec@1 33.594 (29.214) Prec@5 53.906 (53.727)
Epoch: [5][570/5005] Time 0.216 (0.225) Data 0.044 (0.070) Loss 3.4559 (3.3913) Prec@1 27.344 (29.189) Prec@5 52.344 (53.708)
Epoch: [5][580/5005] Time 0.208 (0.225) Data 0.043 (0.069) Loss 3.4023 (3.3908) Prec@1 32.422 (29.210) Prec@5 53.906 (53.734)
Epoch: [5][590/5005] Time 0.225 (0.225) Data 0.040 (0.069) Loss 3.5735 (3.3910) Prec@1 25.781 (29.210) Prec@5 48.828 (53.737)
Epoch: [5][600/5005] Time 0.224 (0.224) Data 0.042 (0.068) Loss 3.4888 (3.3921) Prec@1 25.391 (29.203) Prec@5 55.859 (53.739)
Epoch: [5][610/5005] Time 0.213 (0.224) Data 0.043 (0.068) Loss 3.3290 (3.3918) Prec@1 28.906 (29.195) Prec@5 53.906 (53.749)
Epoch: [5][620/5005] Time 0.224 (0.224) Data 0.042 (0.068) Loss 3.3178 (3.3910) Prec@1 32.422 (29.206) Prec@5 55.469 (53.771)
Epoch: [5][630/5005] Time 0.221 (0.224) Data 0.041 (0.067) Loss 3.5106 (3.3908) Prec@1 25.781 (29.218) Prec@5 50.391 (53.773)
Epoch: [5][640/5005] Time 0.212 (0.224) Data 0.043 (0.067) Loss 3.2197 (3.3903) Prec@1 30.859 (29.210) Prec@5 57.812 (53.795)
Epoch: [5][650/5005] Time 0.218 (0.224) Data 0.044 (0.067) Loss 3.7126 (3.3915) Prec@1 28.906 (29.204) Prec@5 48.047 (53.770)
Epoch: [5][660/5005] Time 0.216 (0.224) Data 0.047 (0.066) Loss 3.3998 (3.3905) Prec@1 28.516 (29.225) Prec@5 55.469 (53.799)
Epoch: [5][670/5005] Time 0.217 (0.224) Data 0.044 (0.066) Loss 3.6101 (3.3898) Prec@1 26.172 (29.254) Prec@5 50.781 (53.815)
Epoch: [5][680/5005] Time 0.215 (0.223) Data 0.044 (0.066) Loss 3.5390 (3.3899) Prec@1 26.172 (29.242) Prec@5 52.344 (53.806)
Epoch: [5][690/5005] Time 0.214 (0.223) Data 0.043 (0.065) Loss 3.1227 (3.3888) Prec@1 34.766 (29.252) Prec@5 59.375 (53.819)
Epoch: [5][700/5005] Time 0.204 (0.223) Data 0.045 (0.065) Loss 3.3861 (3.3888) Prec@1 31.250 (29.267) Prec@5 51.953 (53.825)
Epoch: [5][710/5005] Time 0.218 (0.223) Data 0.044 (0.065) Loss 3.3197 (3.3890) Prec@1 28.906 (29.258) Prec@5 52.344 (53.813)
Epoch: [5][720/5005] Time 0.216 (0.223) Data 0.047 (0.064) Loss 3.2642 (3.3880) Prec@1 25.781 (29.264) Prec@5 58.203 (53.836)
Epoch: [5][730/5005] Time 0.219 (0.223) Data 0.047 (0.064) Loss 3.5422 (3.3885) Prec@1 25.781 (29.255) Prec@5 51.953 (53.828)
Epoch: [5][740/5005] Time 0.212 (0.223) Data 0.041 (0.064) Loss 3.5253 (3.3878) Prec@1 28.516 (29.271) Prec@5 51.953 (53.843)
Epoch: [5][750/5005] Time 0.215 (0.223) Data 0.042 (0.064) Loss 3.1991 (3.3871) Prec@1 30.469 (29.282) Prec@5 58.203 (53.863)
Epoch: [5][760/5005] Time 0.208 (0.222) Data 0.044 (0.063) Loss 3.5332 (3.3877) Prec@1 25.781 (29.259) Prec@5 53.906 (53.857)
Epoch: [5][770/5005] Time 0.224 (0.222) Data 0.047 (0.063) Loss 3.3845 (3.3865) Prec@1 25.781 (29.270) Prec@5 52.344 (53.890)
Epoch: [5][780/5005] Time 0.218 (0.222) Data 0.046 (0.063) Loss 3.3875 (3.3859) Prec@1 26.953 (29.279) Prec@5 53.125 (53.904)
Epoch: [5][790/5005] Time 0.208 (0.222) Data 0.041 (0.063) Loss 3.4722 (3.3856) Prec@1 28.125 (29.285) Prec@5 53.516 (53.911)
Epoch: [5][800/5005] Time 0.218 (0.222) Data 0.042 (0.063) Loss 3.2443 (3.3848) Prec@1 31.641 (29.305) Prec@5 59.766 (53.944)
Epoch: [5][810/5005] Time 0.207 (0.222) Data 0.043 (0.062) Loss 3.4592 (3.3853) Prec@1 27.734 (29.294) Prec@5 52.344 (53.939)
Epoch: [5][820/5005] Time 0.211 (0.222) Data 0.040 (0.063) Loss 3.6043 (3.3858) Prec@1 31.641 (29.274) Prec@5 52.344 (53.927)
Epoch: [5][830/5005] Time 0.203 (0.222) Data 0.080 (0.063) Loss 3.4647 (3.3861) Prec@1 28.906 (29.261) Prec@5 52.734 (53.918)
Epoch: [5][840/5005] Time 0.200 (0.222) Data 0.048 (0.063) Loss 3.2767 (3.3857) Prec@1 28.125 (29.259) Prec@5 54.688 (53.927)
Epoch: [5][850/5005] Time 0.203 (0.222) Data 0.042 (0.063) Loss 3.6186 (3.3850) Prec@1 25.391 (29.273) Prec@5 53.906 (53.936)
Epoch: [5][860/5005] Time 0.229 (0.222) Data 0.147 (0.064) Loss 3.4333 (3.3847) Prec@1 27.344 (29.288) Prec@5 52.734 (53.948)
Epoch: [5][870/5005] Time 0.207 (0.222) Data 0.054 (0.064) Loss 3.4350 (3.3838) Prec@1 28.906 (29.309) Prec@5 50.391 (53.950)
Epoch: [5][880/5005] Time 0.198 (0.223) Data 0.063 (0.065) Loss 3.3555 (3.3841) Prec@1 31.641 (29.310) Prec@5 55.469 (53.953)
Epoch: [5][890/5005] Time 0.211 (0.223) Data 0.052 (0.065) Loss 3.6220 (3.3841) Prec@1 25.391 (29.318) Prec@5 47.656 (53.929)
Epoch: [5][900/5005] Time 0.219 (0.223) Data 0.135 (0.065) Loss 3.3392 (3.3837) Prec@1 32.812 (29.329) Prec@5 55.469 (53.946)
Epoch: [5][910/5005] Time 0.200 (0.222) Data 0.048 (0.065) Loss 3.3520 (3.3838) Prec@1 28.125 (29.323) Prec@5 57.812 (53.950)
Epoch: [5][920/5005] Time 0.213 (0.222) Data 0.044 (0.065) Loss 3.3075 (3.3828) Prec@1 26.172 (29.336) Prec@5 56.250 (53.966)
Epoch: [5][930/5005] Time 0.206 (0.224) Data 0.044 (0.067) Loss 3.2039 (3.3820) Prec@1 35.547 (29.352) Prec@5 58.203 (53.989)
Epoch: [5][940/5005] Time 0.199 (0.224) Data 0.052 (0.067) Loss 3.2624 (3.3821) Prec@1 30.078 (29.361) Prec@5 55.078 (53.995)
Epoch: [5][950/5005] Time 0.209 (0.224) Data 0.045 (0.068) Loss 3.4940 (3.3830) Prec@1 27.734 (29.350) Prec@5 52.734 (53.979)
Epoch: [5][960/5005] Time 0.381 (0.225) Data 0.300 (0.068) Loss 3.7284 (3.3834) Prec@1 24.609 (29.329) Prec@5 48.047 (53.969)
Epoch: [5][970/5005] Time 0.829 (0.225) Data 0.744 (0.069) Loss 3.0539 (3.3831) Prec@1 37.109 (29.341) Prec@5 57.812 (53.977)
Epoch: [5][980/5005] Time 0.212 (0.225) Data 0.065 (0.069) Loss 3.2361 (3.3825) Prec@1 32.031 (29.352) Prec@5 56.250 (53.993)
Epoch: [5][990/5005] Time 0.202 (0.225) Data 0.049 (0.069) Loss 3.4247 (3.3825) Prec@1 27.734 (29.346) Prec@5 50.000 (53.985)
Epoch: [5][1000/5005] Time 0.213 (0.225) Data 0.045 (0.069) Loss 3.2050 (3.3819) Prec@1 28.906 (29.366) Prec@5 57.031 (54.005)
Epoch: [5][1010/5005] Time 0.204 (0.225) Data 0.041 (0.069) Loss 3.4003 (3.3816) Prec@1 25.781 (29.369) Prec@5 53.516 (54.003)
Epoch: [5][1020/5005] Time 0.215 (0.225) Data 0.042 (0.068) Loss 3.0712 (3.3819) Prec@1 33.984 (29.368) Prec@5 62.891 (54.000)
Epoch: [5][1030/5005] Time 0.211 (0.224) Data 0.048 (0.068) Loss 3.3760 (3.3815) Prec@1 30.078 (29.366) Prec@5 53.906 (54.012)
Epoch: [5][1040/5005] Time 0.218 (0.224) Data 0.042 (0.068) Loss 3.5055 (3.3814) Prec@1 23.438 (29.364) Prec@5 49.219 (54.008)
Epoch: [5][1050/5005] Time 0.203 (0.224) Data 0.042 (0.068) Loss 3.5810 (3.3820) Prec@1 25.391 (29.355) Prec@5 51.953 (54.007)
Epoch: [5][1060/5005] Time 0.212 (0.224) Data 0.042 (0.067) Loss 3.4929 (3.3825) Prec@1 30.469 (29.348) Prec@5 53.516 (54.006)
Epoch: [5][1070/5005] Time 0.213 (0.224) Data 0.042 (0.067) Loss 3.2937 (3.3823) Prec@1 28.906 (29.356) Prec@5 57.031 (54.011)
Epoch: [5][1080/5005] Time 0.220 (0.224) Data 0.047 (0.067) Loss 3.2857 (3.3822) Prec@1 33.984 (29.363) Prec@5 54.688 (54.012)
Epoch: [5][1090/5005] Time 0.216 (0.224) Data 0.041 (0.067) Loss 3.1557 (3.3814) Prec@1 33.203 (29.370) Prec@5 57.031 (54.030)
Epoch: [5][1100/5005] Time 0.215 (0.224) Data 0.052 (0.067) Loss 3.1003 (3.3809) Prec@1 32.422 (29.377) Prec@5 57.812 (54.040)
Epoch: [5][1110/5005] Time 0.221 (0.224) Data 0.040 (0.066) Loss 3.4928 (3.3813) Prec@1 30.078 (29.380) Prec@5 53.516 (54.036)
Epoch: [5][1120/5005] Time 0.211 (0.223) Data 0.044 (0.066) Loss 3.2571 (3.3806) Prec@1 30.859 (29.377) Prec@5 55.469 (54.039)
Epoch: [5][1130/5005] Time 0.200 (0.223) Data 0.062 (0.066) Loss 3.4476 (3.3812) Prec@1 30.469 (29.374) Prec@5 51.562 (54.019)
Epoch: [5][1140/5005] Time 0.219 (0.223) Data 0.048 (0.066) Loss 3.4096 (3.3808) Prec@1 31.250 (29.380) Prec@5 51.172 (54.019)
Epoch: [5][1150/5005] Time 0.209 (0.223) Data 0.043 (0.066) Loss 3.2650 (3.3798) Prec@1 27.734 (29.395) Prec@5 53.906 (54.036)
Epoch: [5][1160/5005] Time 0.209 (0.223) Data 0.043 (0.066) Loss 3.3394 (3.3797) Prec@1 30.859 (29.407) Prec@5 55.859 (54.034)
Epoch: [5][1170/5005] Time 0.197 (0.223) Data 0.061 (0.066) Loss 3.3317 (3.3794) Prec@1 30.078 (29.404) Prec@5 51.562 (54.031)
Epoch: [5][1180/5005] Time 0.195 (0.223) Data 0.042 (0.065) Loss 3.4632 (3.3793) Prec@1 28.906 (29.397) Prec@5 53.906 (54.030)
Epoch: [5][1190/5005] Time 0.202 (0.223) Data 0.040 (0.065) Loss 3.1049 (3.3793) Prec@1 34.375 (29.400) Prec@5 55.859 (54.021)
Epoch: [5][1200/5005] Time 0.203 (0.222) Data 0.042 (0.065) Loss 3.4277 (3.3797) Prec@1 26.562 (29.392) Prec@5 54.688 (54.014)
Epoch: [5][1210/5005] Time 0.216 (0.222) Data 0.043 (0.065) Loss 3.4709 (3.3797) Prec@1 26.172 (29.395) Prec@5 53.516 (54.014)
Epoch: [5][1220/5005] Time 0.206 (0.222) Data 0.118 (0.065) Loss 3.4497 (3.3798) Prec@1 27.734 (29.392) Prec@5 50.781 (54.012)
Epoch: [5][1230/5005] Time 0.202 (0.223) Data 0.047 (0.065) Loss 3.3370 (3.3797) Prec@1 32.031 (29.396) Prec@5 54.297 (54.009)
Epoch: [5][1240/5005] Time 0.199 (0.223) Data 0.045 (0.065) Loss 3.4555 (3.3797) Prec@1 30.469 (29.403) Prec@5 52.344 (54.009)
Epoch: [5][1250/5005] Time 0.198 (0.222) Data 0.056 (0.065) Loss 3.6001 (3.3800) Prec@1 24.609 (29.388) Prec@5 51.953 (54.003)
Epoch: [5][1260/5005] Time 0.319 (0.222) Data 0.227 (0.065) Loss 3.1420 (3.3794) Prec@1 33.594 (29.395) Prec@5 58.203 (54.020)
Epoch: [5][1270/5005] Time 0.199 (0.223) Data 0.047 (0.065) Loss 3.5588 (3.3798) Prec@1 25.391 (29.387) Prec@5 51.562 (54.015)
Epoch: [5][1280/5005] Time 0.204 (0.223) Data 0.039 (0.066) Loss 3.4059 (3.3799) Prec@1 27.344 (29.385) Prec@5 53.125 (54.006)
Epoch: [5][1290/5005] Time 0.204 (0.223) Data 0.045 (0.066) Loss 3.2438 (3.3798) Prec@1 32.812 (29.392) Prec@5 54.688 (54.013)
Epoch: [5][1300/5005] Time 0.230 (0.223) Data 0.136 (0.066) Loss 3.2615 (3.3796) Prec@1 33.984 (29.406) Prec@5 57.812 (54.021)
Epoch: [5][1310/5005] Time 0.206 (0.223) Data 0.042 (0.066) Loss 3.4910 (3.3794) Prec@1 26.172 (29.397) Prec@5 53.516 (54.030)
Epoch: [5][1320/5005] Time 0.207 (0.223) Data 0.041 (0.066) Loss 3.5172 (3.3791) Prec@1 26.953 (29.404) Prec@5 53.906 (54.047)
Epoch: [5][1330/5005] Time 0.202 (0.223) Data 0.049 (0.066) Loss 3.5716 (3.3796) Prec@1 23.438 (29.385) Prec@5 50.781 (54.039)
Epoch: [5][1340/5005] Time 0.209 (0.223) Data 0.049 (0.066) Loss 3.1694 (3.3789) Prec@1 33.203 (29.393) Prec@5 58.203 (54.056)
Epoch: [5][1350/5005] Time 0.216 (0.223) Data 0.047 (0.066) Loss 3.6755 (3.3791) Prec@1 28.125 (29.386) Prec@5 50.781 (54.053)
Epoch: [5][1360/5005] Time 0.214 (0.223) Data 0.047 (0.066) Loss 3.2141 (3.3790) Prec@1 33.594 (29.393) Prec@5 56.250 (54.049)
Epoch: [5][1370/5005] Time 0.215 (0.222) Data 0.055 (0.066) Loss 3.4464 (3.3785) Prec@1 28.516 (29.399) Prec@5 55.078 (54.057)
Epoch: [5][1380/5005] Time 0.214 (0.222) Data 0.042 (0.066) Loss 3.3867 (3.3782) Prec@1 28.906 (29.404) Prec@5 56.641 (54.068)
Epoch: [5][1390/5005] Time 0.326 (0.222) Data 0.234 (0.066) Loss 3.4522 (3.3784) Prec@1 28.516 (29.402) Prec@5 51.953 (54.067)
Epoch: [5][1400/5005] Time 0.202 (0.222) Data 0.047 (0.066) Loss 3.3150 (3.3778) Prec@1 32.422 (29.406) Prec@5 53.516 (54.070)
Epoch: [5][1410/5005] Time 0.210 (0.222) Data 0.052 (0.066) Loss 3.4147 (3.3772) Prec@1 27.734 (29.413) Prec@5 54.688 (54.081)
Epoch: [5][1420/5005] Time 0.205 (0.223) Data 0.115 (0.066) Loss 3.5560 (3.3773) Prec@1 28.125 (29.407) Prec@5 51.172 (54.071)
Epoch: [5][1430/5005] Time 0.194 (0.222) Data 0.056 (0.066) Loss 3.1829 (3.3771) Prec@1 33.594 (29.414) Prec@5 57.812 (54.075)
Epoch: [5][1440/5005] Time 0.194 (0.222) Data 0.047 (0.066) Loss 3.2617 (3.3771) Prec@1 31.641 (29.414) Prec@5 55.859 (54.077)
Epoch: [5][1450/5005] Time 0.207 (0.222) Data 0.047 (0.067) Loss 3.3947 (3.3769) Prec@1 26.172 (29.419) Prec@5 51.172 (54.075)
Epoch: [5][1460/5005] Time 0.207 (0.223) Data 0.046 (0.067) Loss 3.5070 (3.3769) Prec@1 22.656 (29.424) Prec@5 53.516 (54.078)
Epoch: [5][1470/5005] Time 0.201 (0.222) Data 0.041 (0.067) Loss 3.3786 (3.3771) Prec@1 26.562 (29.420) Prec@5 53.906 (54.074)
Epoch: [5][1480/5005] Time 0.209 (0.222) Data 0.057 (0.067) Loss 3.2567 (3.3774) Prec@1 31.641 (29.416) Prec@5 56.641 (54.064)
Epoch: [5][1490/5005] Time 0.205 (0.222) Data 0.050 (0.067) Loss 3.5634 (3.3773) Prec@1 30.469 (29.424) Prec@5 51.172 (54.068)
Epoch: [5][1500/5005] Time 0.227 (0.222) Data 0.145 (0.067) Loss 3.4525 (3.3771) Prec@1 29.688 (29.429) Prec@5 53.125 (54.073)
Epoch: [5][1510/5005] Time 0.207 (0.223) Data 0.047 (0.068) Loss 3.1261 (3.3767) Prec@1 32.422 (29.434) Prec@5 55.859 (54.073)
Epoch: [5][1520/5005] Time 0.214 (0.223) Data 0.045 (0.067) Loss 3.4455 (3.3766) Prec@1 28.516 (29.438) Prec@5 51.172 (54.066)
Epoch: [5][1530/5005] Time 0.201 (0.222) Data 0.042 (0.067) Loss 3.5211 (3.3766) Prec@1 28.906 (29.439) Prec@5 52.344 (54.062)
Epoch: [5][1540/5005] Time 0.206 (0.223) Data 0.043 (0.068) Loss 3.3980 (3.3772) Prec@1 30.078 (29.436) Prec@5 52.734 (54.044)
Epoch: [5][1550/5005] Time 0.208 (0.223) Data 0.043 (0.068) Loss 3.2405 (3.3766) Prec@1 35.938 (29.445) Prec@5 58.203 (54.054)
Epoch: [5][1560/5005] Time 0.212 (0.223) Data 0.046 (0.068) Loss 3.2447 (3.3766) Prec@1 31.250 (29.450) Prec@5 54.688 (54.063)
Epoch: [5][1570/5005] Time 0.208 (0.223) Data 0.051 (0.068) Loss 3.2879 (3.3761) Prec@1 33.984 (29.456) Prec@5 56.250 (54.073)
Epoch: [5][1580/5005] Time 0.203 (0.223) Data 0.041 (0.068) Loss 3.2501 (3.3765) Prec@1 30.078 (29.448) Prec@5 55.078 (54.064)
Epoch: [5][1590/5005] Time 0.247 (0.223) Data 0.158 (0.069) Loss 3.3518 (3.3762) Prec@1 28.516 (29.457) Prec@5 55.859 (54.070)
Epoch: [5][1600/5005] Time 0.205 (0.223) Data 0.041 (0.069) Loss 3.2862 (3.3761) Prec@1 31.250 (29.457) Prec@5 52.734 (54.065)
Epoch: [5][1610/5005] Time 0.200 (0.223) Data 0.064 (0.069) Loss 3.4854 (3.3761) Prec@1 30.078 (29.463) Prec@5 52.734 (54.064)
Epoch: [5][1620/5005] Time 0.202 (0.223) Data 0.041 (0.069) Loss 3.6414 (3.3759) Prec@1 26.562 (29.468) Prec@5 49.609 (54.067)
Epoch: [5][1630/5005] Time 0.209 (0.223) Data 0.043 (0.069) Loss 3.2562 (3.3758) Prec@1 31.641 (29.470) Prec@5 56.250 (54.067)
Epoch: [5][1640/5005] Time 0.201 (0.223) Data 0.057 (0.069) Loss 3.3961 (3.3761) Prec@1 30.469 (29.467) Prec@5 54.688 (54.062)
Epoch: [5][1650/5005] Time 0.213 (0.223) Data 0.045 (0.069) Loss 3.4258 (3.3760) Prec@1 32.422 (29.473) Prec@5 52.344 (54.063)
Epoch: [5][1660/5005] Time 0.206 (0.223) Data 0.044 (0.068) Loss 3.2054 (3.3751) Prec@1 33.203 (29.489) Prec@5 60.156 (54.084)
Epoch: [5][1670/5005] Time 0.405 (0.223) Data 0.314 (0.069) Loss 3.2564 (3.3751) Prec@1 29.688 (29.485) Prec@5 57.812 (54.086)
Epoch: [5][1680/5005] Time 0.203 (0.223) Data 0.059 (0.069) Loss 3.5360 (3.3752) Prec@1 28.906 (29.486) Prec@5 49.219 (54.085)
Epoch: [5][1690/5005] Time 0.212 (0.223) Data 0.044 (0.069) Loss 3.1771 (3.3748) Prec@1 33.203 (29.492) Prec@5 60.156 (54.094)
Epoch: [5][1700/5005] Time 0.215 (0.223) Data 0.042 (0.069) Loss 3.3107 (3.3744) Prec@1 27.734 (29.490) Prec@5 55.469 (54.099)
Epoch: [5][1710/5005] Time 0.424 (0.223) Data 0.331 (0.069) Loss 3.2090 (3.3738) Prec@1 32.812 (29.493) Prec@5 56.250 (54.107)
Epoch: [5][1720/5005] Time 0.192 (0.223) Data 0.103 (0.069) Loss 3.4611 (3.3737) Prec@1 30.078 (29.494) Prec@5 55.469 (54.115)
Epoch: [5][1730/5005] Time 0.200 (0.223) Data 0.059 (0.069) Loss 3.3171 (3.3734) Prec@1 25.000 (29.494) Prec@5 56.250 (54.129)
Epoch: [5][1740/5005] Time 0.197 (0.223) Data 0.049 (0.069) Loss 3.4899 (3.3730) Prec@1 26.953 (29.495) Prec@5 50.000 (54.132)
Epoch: [5][1750/5005] Time 0.250 (0.223) Data 0.165 (0.069) Loss 3.2726 (3.3725) Prec@1 28.125 (29.498) Prec@5 52.734 (54.146)
Epoch: [5][1760/5005] Time 0.335 (0.223) Data 0.255 (0.070) Loss 3.0222 (3.3723) Prec@1 31.641 (29.497) Prec@5 60.547 (54.150)
Epoch: [5][1770/5005] Time 0.208 (0.223) Data 0.044 (0.070) Loss 3.3328 (3.3718) Prec@1 28.516 (29.498) Prec@5 50.391 (54.151)
Epoch: [5][1780/5005] Time 0.205 (0.223) Data 0.044 (0.070) Loss 3.2048 (3.3717) Prec@1 30.859 (29.498) Prec@5 57.031 (54.155)
Epoch: [5][1790/5005] Time 0.199 (0.223) Data 0.046 (0.070) Loss 3.1184 (3.3713) Prec@1 29.688 (29.500) Prec@5 58.594 (54.157)
Epoch: [5][1800/5005] Time 0.278 (0.223) Data 0.198 (0.070) Loss 3.2845 (3.3709) Prec@1 30.078 (29.502) Prec@5 53.906 (54.166)
Epoch: [5][1810/5005] Time 0.208 (0.223) Data 0.045 (0.070) Loss 3.2895 (3.3708) Prec@1 30.859 (29.494) Prec@5 55.859 (54.164)
Epoch: [5][1820/5005] Time 0.201 (0.223) Data 0.049 (0.070) Loss 3.5062 (3.3706) Prec@1 26.562 (29.493) Prec@5 52.344 (54.170)
Epoch: [5][1830/5005] Time 0.208 (0.223) Data 0.045 (0.070) Loss 3.0195 (3.3699) Prec@1 31.250 (29.500) Prec@5 63.672 (54.183)
Epoch: [5][1840/5005] Time 0.417 (0.223) Data 0.337 (0.070) Loss 3.4785 (3.3697) Prec@1 27.344 (29.506) Prec@5 50.000 (54.190)
Epoch: [5][1850/5005] Time 0.196 (0.223) Data 0.054 (0.070) Loss 3.3792 (3.3695) Prec@1 31.641 (29.507) Prec@5 52.734 (54.192)
Epoch: [5][1860/5005] Time 0.206 (0.223) Data 0.117 (0.070) Loss 3.2386 (3.3694) Prec@1 32.422 (29.506) Prec@5 55.859 (54.193)
Epoch: [5][1870/5005] Time 0.198 (0.223) Data 0.051 (0.070) Loss 3.6278 (3.3699) Prec@1 24.609 (29.499) Prec@5 47.656 (54.182)
Epoch: [5][1880/5005] Time 0.199 (0.223) Data 0.046 (0.070) Loss 3.2658 (3.3700) Prec@1 31.250 (29.501) Prec@5 55.469 (54.181)
Epoch: [5][1890/5005] Time 0.643 (0.223) Data 0.549 (0.071) Loss 3.4852 (3.3697) Prec@1 27.734 (29.508) Prec@5 50.781 (54.190)
Epoch: [5][1900/5005] Time 0.505 (0.223) Data 0.426 (0.071) Loss 3.3812 (3.3702) Prec@1 29.688 (29.497) Prec@5 55.469 (54.182)
Epoch: [5][1910/5005] Time 0.203 (0.223) Data 0.042 (0.071) Loss 3.4454 (3.3703) Prec@1 25.781 (29.493) Prec@5 55.859 (54.179)
Epoch: [5][1920/5005] Time 0.212 (0.223) Data 0.045 (0.071) Loss 3.4443 (3.3703) Prec@1 27.344 (29.496) Prec@5 54.297 (54.181)
Epoch: [5][1930/5005] Time 0.209 (0.223) Data 0.042 (0.070) Loss 3.2053 (3.3700) Prec@1 30.469 (29.500) Prec@5 54.688 (54.182)
Epoch: [5][1940/5005] Time 0.199 (0.223) Data 0.056 (0.071) Loss 3.2089 (3.3696) Prec@1 31.641 (29.499) Prec@5 58.594 (54.186)
Epoch: [5][1950/5005] Time 0.194 (0.223) Data 0.049 (0.071) Loss 3.3991 (3.3697) Prec@1 28.906 (29.495) Prec@5 55.078 (54.188)
Epoch: [5][1960/5005] Time 0.201 (0.223) Data 0.042 (0.071) Loss 3.2725 (3.3693) Prec@1 31.250 (29.507) Prec@5 57.031 (54.199)
Epoch: [5][1970/5005] Time 0.207 (0.223) Data 0.045 (0.071) Loss 3.4281 (3.3694) Prec@1 29.688 (29.505) Prec@5 53.906 (54.195)
Epoch: [5][1980/5005] Time 0.236 (0.223) Data 0.148 (0.071) Loss 2.9326 (3.3693) Prec@1 35.938 (29.510) Prec@5 61.719 (54.198)
Epoch: [5][1990/5005] Time 0.198 (0.224) Data 0.047 (0.071) Loss 3.2503 (3.3692) Prec@1 31.250 (29.512) Prec@5 56.250 (54.201)
Epoch: [5][2000/5005] Time 0.212 (0.223) Data 0.041 (0.071) Loss 3.1585 (3.3692) Prec@1 35.547 (29.513) Prec@5 58.203 (54.205)
Epoch: [5][2010/5005] Time 0.210 (0.223) Data 0.043 (0.071) Loss 3.2635 (3.3693) Prec@1 31.250 (29.508) Prec@5 55.859 (54.197)
Epoch: [5][2020/5005] Time 0.740 (0.224) Data 0.654 (0.071) Loss 3.1937 (3.3691) Prec@1 33.594 (29.513) Prec@5 55.859 (54.197)
Epoch: [5][2030/5005] Time 0.197 (0.223) Data 0.045 (0.071) Loss 3.3298 (3.3691) Prec@1 31.641 (29.518) Prec@5 54.297 (54.193)
Epoch: [5][2040/5005] Time 0.211 (0.223) Data 0.044 (0.071) Loss 3.1364 (3.3688) Prec@1 30.859 (29.518) Prec@5 60.547 (54.200)
Epoch: [5][2050/5005] Time 0.200 (0.223) Data 0.040 (0.071) Loss 3.4464 (3.3686) Prec@1 27.344 (29.521) Prec@5 52.344 (54.201)
Epoch: [5][2060/5005] Time 0.194 (0.224) Data 0.044 (0.071) Loss 3.1992 (3.3684) Prec@1 28.125 (29.519) Prec@5 56.641 (54.203)
Epoch: [5][2070/5005] Time 0.204 (0.224) Data 0.089 (0.071) Loss 3.5450 (3.3684) Prec@1 27.344 (29.517) Prec@5 50.000 (54.205)
Epoch: [5][2080/5005] Time 0.201 (0.223) Data 0.060 (0.071) Loss 3.4485 (3.3685) Prec@1 27.734 (29.516) Prec@5 53.516 (54.205)
Epoch: [5][2090/5005] Time 0.204 (0.223) Data 0.040 (0.071) Loss 3.1769 (3.3680) Prec@1 31.641 (29.522) Prec@5 57.031 (54.215)
Epoch: [5][2100/5005] Time 0.205 (0.223) Data 0.041 (0.071) Loss 3.3959 (3.3678) Prec@1 27.344 (29.524) Prec@5 54.297 (54.222)
Epoch: [5][2110/5005] Time 0.201 (0.223) Data 0.087 (0.071) Loss 3.2867 (3.3678) Prec@1 33.203 (29.527) Prec@5 53.125 (54.221)
Epoch: [5][2120/5005] Time 0.208 (0.224) Data 0.048 (0.071) Loss 3.5617 (3.3678) Prec@1 27.734 (29.523) Prec@5 47.656 (54.222)
Epoch: [5][2130/5005] Time 0.201 (0.224) Data 0.067 (0.071) Loss 3.4011 (3.3674) Prec@1 28.906 (29.528) Prec@5 55.078 (54.233)
Epoch: [5][2140/5005] Time 0.196 (0.224) Data 0.046 (0.071) Loss 3.2219 (3.3673) Prec@1 36.328 (29.530) Prec@5 54.688 (54.235)
Epoch: [5][2150/5005] Time 0.196 (0.224) Data 0.050 (0.072) Loss 3.1908 (3.3671) Prec@1 35.156 (29.532) Prec@5 56.641 (54.241)
Epoch: [5][2160/5005] Time 0.600 (0.224) Data 0.522 (0.072) Loss 3.1953 (3.3670) Prec@1 31.641 (29.536) Prec@5 56.250 (54.246)
Epoch: [5][2170/5005] Time 0.200 (0.224) Data 0.045 (0.072) Loss 3.3111 (3.3666) Prec@1 30.078 (29.542) Prec@5 53.516 (54.252)
Epoch: [5][2180/5005] Time 0.206 (0.224) Data 0.043 (0.072) Loss 3.3861 (3.3669) Prec@1 30.078 (29.538) Prec@5 54.297 (54.251)
Epoch: [5][2190/5005] Time 0.198 (0.224) Data 0.042 (0.072) Loss 3.5349 (3.3669) Prec@1 32.031 (29.543) Prec@5 52.344 (54.255)
Epoch: [5][2200/5005] Time 0.212 (0.224) Data 0.050 (0.072) Loss 3.4660 (3.3670) Prec@1 28.125 (29.540) Prec@5 50.391 (54.256)
Epoch: [5][2210/5005] Time 0.297 (0.224) Data 0.212 (0.072) Loss 3.4844 (3.3671) Prec@1 26.953 (29.541) Prec@5 52.734 (54.253)
Epoch: [5][2220/5005] Time 0.210 (0.224) Data 0.056 (0.072) Loss 3.4971 (3.3669) Prec@1 28.906 (29.541) Prec@5 52.344 (54.259)
Epoch: [5][2230/5005] Time 0.204 (0.224) Data 0.045 (0.072) Loss 3.4179 (3.3668) Prec@1 29.688 (29.540) Prec@5 52.734 (54.260)
Epoch: [5][2240/5005] Time 0.205 (0.224) Data 0.045 (0.072) Loss 3.2857 (3.3668) Prec@1 26.953 (29.538) Prec@5 57.031 (54.262)
Epoch: [5][2250/5005] Time 0.203 (0.224) Data 0.045 (0.072) Loss 3.1813 (3.3667) Prec@1 32.422 (29.540) Prec@5 58.203 (54.264)
Epoch: [5][2260/5005] Time 0.431 (0.224) Data 0.336 (0.072) Loss 3.2434 (3.3661) Prec@1 32.031 (29.543) Prec@5 57.422 (54.275)
Epoch: [5][2270/5005] Time 0.195 (0.224) Data 0.062 (0.072) Loss 3.4629 (3.3658) Prec@1 30.078 (29.554) Prec@5 51.172 (54.281)
Epoch: [5][2280/5005] Time 0.193 (0.224) Data 0.045 (0.072) Loss 3.3018 (3.3657) Prec@1 32.422 (29.557) Prec@5 57.031 (54.285)
Epoch: [5][2290/5005] Time 0.202 (0.224) Data 0.054 (0.072) Loss 3.1060 (3.3654) Prec@1 35.156 (29.562) Prec@5 58.984 (54.290)
Epoch: [5][2300/5005] Time 0.204 (0.224) Data 0.041 (0.072) Loss 3.2110 (3.3654) Prec@1 29.688 (29.560) Prec@5 57.812 (54.289)
Epoch: [5][2310/5005] Time 0.349 (0.224) Data 0.268 (0.072) Loss 3.1788 (3.3651) Prec@1 32.031 (29.564) Prec@5 59.375 (54.292)
Epoch: [5][2320/5005] Time 0.194 (0.224) Data 0.060 (0.072) Loss 3.4862 (3.3653) Prec@1 25.391 (29.560) Prec@5 52.344 (54.297)
Epoch: [5][2330/5005] Time 0.206 (0.224) Data 0.048 (0.072) Loss 3.3518 (3.3651) Prec@1 28.906 (29.561) Prec@5 53.906 (54.297)
Epoch: [5][2340/5005] Time 0.205 (0.224) Data 0.040 (0.072) Loss 3.2583 (3.3649) Prec@1 28.906 (29.565) Prec@5 55.469 (54.302)
Epoch: [5][2350/5005] Time 0.420 (0.224) Data 0.338 (0.073) Loss 3.3450 (3.3648) Prec@1 33.984 (29.572) Prec@5 53.906 (54.307)
Epoch: [5][2360/5005] Time 0.211 (0.224) Data 0.039 (0.073) Loss 3.2212 (3.3646) Prec@1 33.203 (29.576) Prec@5 60.156 (54.312)
Epoch: [5][2370/5005] Time 0.212 (0.224) Data 0.043 (0.073) Loss 3.3380 (3.3644) Prec@1 30.859 (29.580) Prec@5 56.641 (54.317)
Epoch: [5][2380/5005] Time 0.197 (0.224) Data 0.047 (0.073) Loss 3.4761 (3.3642) Prec@1 30.078 (29.580) Prec@5 51.172 (54.321)
Epoch: [5][2390/5005] Time 0.202 (0.224) Data 0.065 (0.073) Loss 3.3762 (3.3641) Prec@1 29.688 (29.588) Prec@5 55.859 (54.325)
Epoch: [5][2400/5005] Time 0.206 (0.224) Data 0.044 (0.073) Loss 3.1640 (3.3641) Prec@1 32.031 (29.583) Prec@5 57.031 (54.325)
Epoch: [5][2410/5005] Time 0.209 (0.224) Data 0.049 (0.073) Loss 3.3453 (3.3640) Prec@1 26.953 (29.587) Prec@5 54.688 (54.329)
Epoch: [5][2420/5005] Time 0.207 (0.224) Data 0.041 (0.073) Loss 3.3980 (3.3639) Prec@1 27.734 (29.592) Prec@5 57.812 (54.336)
Epoch: [5][2430/5005] Time 0.201 (0.224) Data 0.041 (0.073) Loss 3.1954 (3.3639) Prec@1 32.422 (29.595) Prec@5 56.250 (54.337)
Epoch: [5][2440/5005] Time 0.286 (0.224) Data 0.200 (0.073) Loss 3.1127 (3.3637) Prec@1 33.203 (29.597) Prec@5 56.250 (54.337)
Epoch: [5][2450/5005] Time 0.209 (0.224) Data 0.049 (0.073) Loss 3.4057 (3.3635) Prec@1 27.734 (29.602) Prec@5 51.562 (54.340)
Epoch: [5][2460/5005] Time 0.205 (0.224) Data 0.047 (0.073) Loss 3.3550 (3.3634) Prec@1 29.297 (29.610) Prec@5 53.906 (54.346)
Epoch: [5][2470/5005] Time 0.210 (0.224) Data 0.041 (0.073) Loss 3.3194 (3.3634) Prec@1 32.031 (29.613) Prec@5 51.562 (54.345)
Epoch: [5][2480/5005] Time 0.211 (0.224) Data 0.051 (0.073) Loss 3.5905 (3.3636) Prec@1 24.219 (29.611) Prec@5 50.391 (54.342)
Epoch: [5][2490/5005] Time 0.505 (0.224) Data 0.412 (0.073) Loss 3.1421 (3.3634) Prec@1 31.641 (29.610) Prec@5 60.547 (54.346)
Epoch: [5][2500/5005] Time 0.206 (0.224) Data 0.046 (0.073) Loss 3.2948 (3.3632) Prec@1 33.984 (29.613) Prec@5 52.734 (54.345)
Epoch: [5][2510/5005] Time 0.198 (0.224) Data 0.043 (0.073) Loss 3.2674 (3.3632) Prec@1 30.469 (29.608) Prec@5 55.469 (54.348)
Epoch: [5][2520/5005] Time 0.203 (0.224) Data 0.039 (0.073) Loss 3.2272 (3.3629) Prec@1 32.422 (29.616) Prec@5 58.203 (54.355)
Epoch: [5][2530/5005] Time 0.203 (0.224) Data 0.045 (0.073) Loss 3.5355 (3.3628) Prec@1 30.078 (29.620) Prec@5 52.734 (54.358)
Epoch: [5][2540/5005] Time 0.204 (0.224) Data 0.057 (0.073) Loss 3.3429 (3.3627) Prec@1 28.516 (29.626) Prec@5 57.422 (54.364)
Epoch: [5][2550/5005] Time 0.189 (0.224) Data 0.059 (0.073) Loss 3.3770 (3.3628) Prec@1 23.438 (29.621) Prec@5 53.906 (54.362)
Epoch: [5][2560/5005] Time 0.210 (0.224) Data 0.044 (0.073) Loss 3.6798 (3.3629) Prec@1 26.172 (29.618) Prec@5 50.391 (54.358)
Epoch: [5][2570/5005] Time 0.195 (0.224) Data 0.110 (0.073) Loss 3.3361 (3.3628) Prec@1 27.344 (29.617) Prec@5 55.078 (54.358)
Epoch: [5][2580/5005] Time 0.209 (0.224) Data 0.040 (0.073) Loss 3.4208 (3.3631) Prec@1 25.781 (29.611) Prec@5 51.953 (54.352)
Epoch: [5][2590/5005] Time 0.207 (0.224) Data 0.064 (0.073) Loss 3.4840 (3.3629) Prec@1 28.125 (29.617) Prec@5 53.906 (54.358)
Epoch: [5][2600/5005] Time 0.205 (0.224) Data 0.048 (0.073) Loss 3.3608 (3.3630) Prec@1 29.688 (29.616) Prec@5 58.984 (54.358)
Epoch: [5][2610/5005] Time 0.194 (0.224) Data 0.045 (0.074) Loss 3.4857 (3.3627) Prec@1 28.125 (29.621) Prec@5 54.688 (54.363)
Epoch: [5][2620/5005] Time 0.331 (0.224) Data 0.250 (0.073) Loss 3.3151 (3.3626) Prec@1 31.250 (29.618) Prec@5 56.250 (54.365)
Epoch: [5][2630/5005] Time 0.214 (0.224) Data 0.064 (0.073) Loss 3.5949 (3.3629) Prec@1 24.609 (29.611) Prec@5 50.391 (54.361)
Epoch: [5][2640/5005] Time 0.256 (0.224) Data 0.175 (0.074) Loss 3.4082 (3.3629) Prec@1 29.297 (29.613) Prec@5 54.688 (54.360)
Epoch: [5][2650/5005] Time 0.199 (0.224) Data 0.046 (0.074) Loss 3.5336 (3.3628) Prec@1 28.516 (29.616) Prec@5 47.266 (54.358)
Epoch: [5][2660/5005] Time 0.197 (0.224) Data 0.107 (0.074) Loss 3.4173 (3.3628) Prec@1 26.562 (29.617) Prec@5 52.344 (54.355)
Epoch: [5][2670/5005] Time 0.515 (0.224) Data 0.430 (0.074) Loss 3.0499 (3.3625) Prec@1 33.203 (29.619) Prec@5 56.641 (54.356)
Epoch: [5][2680/5005] Time 0.200 (0.224) Data 0.087 (0.074) Loss 3.1729 (3.3624) Prec@1 33.984 (29.615) Prec@5 57.812 (54.355)
Epoch: [5][2690/5005] Time 0.201 (0.224) Data 0.045 (0.074) Loss 3.0847 (3.3623) Prec@1 38.281 (29.621) Prec@5 55.859 (54.355)
Epoch: [5][2700/5005] Time 0.195 (0.224) Data 0.053 (0.074) Loss 3.1711 (3.3622) Prec@1 29.688 (29.619) Prec@5 59.766 (54.356)
Epoch: [5][2710/5005] Time 0.204 (0.224) Data 0.046 (0.074) Loss 3.0606 (3.3624) Prec@1 36.328 (29.614) Prec@5 58.594 (54.353)
Epoch: [5][2720/5005] Time 0.205 (0.224) Data 0.053 (0.074) Loss 3.2366 (3.3625) Prec@1 32.422 (29.612) Prec@5 59.375 (54.351)
Epoch: [5][2730/5005] Time 0.205 (0.224) Data 0.055 (0.074) Loss 3.3667 (3.3622) Prec@1 28.906 (29.615) Prec@5 56.250 (54.353)
Epoch: [5][2740/5005] Time 0.213 (0.224) Data 0.042 (0.074) Loss 3.2583 (3.3621) Prec@1 35.547 (29.619) Prec@5 58.203 (54.358)
Epoch: [5][2750/5005] Time 0.209 (0.224) Data 0.045 (0.074) Loss 3.3194 (3.3618) Prec@1 33.594 (29.628) Prec@5 54.297 (54.362)
Epoch: [5][2760/5005] Time 0.199 (0.224) Data 0.043 (0.074) Loss 3.4297 (3.3618) Prec@1 29.688 (29.628) Prec@5 53.516 (54.363)
Epoch: [5][2770/5005] Time 0.211 (0.224) Data 0.049 (0.074) Loss 3.2357 (3.3617) Prec@1 27.734 (29.630) Prec@5 55.859 (54.363)
Epoch: [5][2780/5005] Time 0.209 (0.224) Data 0.050 (0.074) Loss 3.5562 (3.3617) Prec@1 26.172 (29.631) Prec@5 49.219 (54.365)
Epoch: [5][2790/5005] Time 0.198 (0.224) Data 0.046 (0.074) Loss 3.6697 (3.3616) Prec@1 23.828 (29.633) Prec@5 46.875 (54.364)
Epoch: [5][2800/5005] Time 0.213 (0.224) Data 0.130 (0.074) Loss 3.1860 (3.3614) Prec@1 31.250 (29.637) Prec@5 57.031 (54.372)
Epoch: [5][2810/5005] Time 0.196 (0.224) Data 0.048 (0.074) Loss 3.3749 (3.3614) Prec@1 28.125 (29.638) Prec@5 51.562 (54.374)
Epoch: [5][2820/5005] Time 0.230 (0.224) Data 0.151 (0.075) Loss 3.0139 (3.3612) Prec@1 34.375 (29.642) Prec@5 58.984 (54.377)
Epoch: [5][2830/5005] Time 0.200 (0.224) Data 0.046 (0.075) Loss 3.7023 (3.3615) Prec@1 22.266 (29.635) Prec@5 49.219 (54.372)
Epoch: [5][2840/5005] Time 0.203 (0.224) Data 0.046 (0.075) Loss 3.4257 (3.3614) Prec@1 28.125 (29.637) Prec@5 54.297 (54.376)
Epoch: [5][2850/5005] Time 0.202 (0.224) Data 0.042 (0.075) Loss 3.3105 (3.3612) Prec@1 29.297 (29.639) Prec@5 52.734 (54.377)
Epoch: [5][2860/5005] Time 0.204 (0.224) Data 0.040 (0.075) Loss 3.3017 (3.3613) Prec@1 30.859 (29.643) Prec@5 53.906 (54.376)
Epoch: [5][2870/5005] Time 0.542 (0.224) Data 0.456 (0.075) Loss 3.2615 (3.3610) Prec@1 33.594 (29.651) Prec@5 57.812 (54.387)
Epoch: [5][2880/5005] Time 0.203 (0.224) Data 0.048 (0.075) Loss 3.1632 (3.3608) Prec@1 28.906 (29.655) Prec@5 59.375 (54.389)
Epoch: [5][2890/5005] Time 0.201 (0.224) Data 0.047 (0.075) Loss 3.4987 (3.3607) Prec@1 24.219 (29.657) Prec@5 51.562 (54.391)
Epoch: [5][2900/5005] Time 0.197 (0.224) Data 0.117 (0.075) Loss 3.0468 (3.3604) Prec@1 37.500 (29.665) Prec@5 57.812 (54.396)
Epoch: [5][2910/5005] Time 0.194 (0.224) Data 0.048 (0.075) Loss 3.3211 (3.3603) Prec@1 30.078 (29.669) Prec@5 54.688 (54.398)
Epoch: [5][2920/5005] Time 0.213 (0.224) Data 0.042 (0.075) Loss 3.4529 (3.3603) Prec@1 26.172 (29.670) Prec@5 55.078 (54.403)
Epoch: [5][2930/5005] Time 0.198 (0.224) Data 0.046 (0.075) Loss 3.5795 (3.3602) Prec@1 25.391 (29.671) Prec@5 47.656 (54.403)
Epoch: [5][2940/5005] Time 0.183 (0.224) Data 0.090 (0.075) Loss 3.4573 (3.3602) Prec@1 26.953 (29.669) Prec@5 53.516 (54.407)
Epoch: [5][2950/5005] Time 0.195 (0.224) Data 0.049 (0.075) Loss 3.6471 (3.3599) Prec@1 23.828 (29.668) Prec@5 47.266 (54.412)
Epoch: [5][2960/5005] Time 0.205 (0.224) Data 0.059 (0.075) Loss 3.2735 (3.3598) Prec@1 29.688 (29.670) Prec@5 56.641 (54.415)
Epoch: [5][2970/5005] Time 0.200 (0.224) Data 0.093 (0.075) Loss 3.4034 (3.3597) Prec@1 25.000 (29.669) Prec@5 53.906 (54.416)
Epoch: [5][2980/5005] Time 0.202 (0.224) Data 0.052 (0.075) Loss 3.4056 (3.3598) Prec@1 33.594 (29.670) Prec@5 55.859 (54.417)
Epoch: [5][2990/5005] Time 0.200 (0.224) Data 0.050 (0.075) Loss 3.1234 (3.3597) Prec@1 33.594 (29.670) Prec@5 56.250 (54.414)
Epoch: [5][3000/5005] Time 0.261 (0.224) Data 0.178 (0.075) Loss 3.3289 (3.3595) Prec@1 29.688 (29.673) Prec@5 52.344 (54.416)
Epoch: [5][3010/5005] Time 0.206 (0.224) Data 0.049 (0.075) Loss 3.2354 (3.3597) Prec@1 32.422 (29.669) Prec@5 54.297 (54.411)
Epoch: [5][3020/5005] Time 0.199 (0.224) Data 0.047 (0.075) Loss 3.1378 (3.3597) Prec@1 32.031 (29.669) Prec@5 55.859 (54.412)
Epoch: [5][3030/5005] Time 0.288 (0.224) Data 0.210 (0.075) Loss 3.2679 (3.3597) Prec@1 32.422 (29.670) Prec@5 59.375 (54.416)
Epoch: [5][3040/5005] Time 0.193 (0.224) Data 0.043 (0.075) Loss 3.0642 (3.3595) Prec@1 34.375 (29.676) Prec@5 57.812 (54.421)
Epoch: [5][3050/5005] Time 0.205 (0.224) Data 0.095 (0.075) Loss 3.4060 (3.3593) Prec@1 27.734 (29.681) Prec@5 54.688 (54.426)
Epoch: [5][3060/5005] Time 0.205 (0.224) Data 0.045 (0.075) Loss 3.1244 (3.3589) Prec@1 35.938 (29.683) Prec@5 58.203 (54.429)
Epoch: [5][3070/5005] Time 0.204 (0.224) Data 0.047 (0.075) Loss 3.4778 (3.3591) Prec@1 28.125 (29.681) Prec@5 49.609 (54.427)
Epoch: [5][3080/5005] Time 0.211 (0.224) Data 0.044 (0.075) Loss 3.2745 (3.3590) Prec@1 32.031 (29.678) Prec@5 56.250 (54.428)
Epoch: [5][3090/5005] Time 0.340 (0.224) Data 0.260 (0.076) Loss 3.7582 (3.3592) Prec@1 23.047 (29.674) Prec@5 49.219 (54.424)
Epoch: [5][3100/5005] Time 0.207 (0.224) Data 0.123 (0.076) Loss 3.2255 (3.3591) Prec@1 33.594 (29.676) Prec@5 56.641 (54.426)
Epoch: [5][3110/5005] Time 0.194 (0.224) Data 0.095 (0.076) Loss 3.1821 (3.3588) Prec@1 34.766 (29.680) Prec@5 59.375 (54.431)
Epoch: [5][3120/5005] Time 0.207 (0.224) Data 0.044 (0.076) Loss 3.3991 (3.3588) Prec@1 26.562 (29.680) Prec@5 51.953 (54.431)
Epoch: [5][3130/5005] Time 0.203 (0.224) Data 0.040 (0.076) Loss 3.4349 (3.3586) Prec@1 26.562 (29.680) Prec@5 52.734 (54.435)
Epoch: [5][3140/5005] Time 0.197 (0.224) Data 0.061 (0.076) Loss 3.1546 (3.3582) Prec@1 33.203 (29.688) Prec@5 58.984 (54.443)
Epoch: [5][3150/5005] Time 0.197 (0.224) Data 0.092 (0.076) Loss 3.3105 (3.3580) Prec@1 28.906 (29.693) Prec@5 53.125 (54.450)
Epoch: [5][3160/5005] Time 0.312 (0.224) Data 0.228 (0.076) Loss 3.1589 (3.3580) Prec@1 32.031 (29.695) Prec@5 57.031 (54.452)
Epoch: [5][3170/5005] Time 0.206 (0.224) Data 0.049 (0.076) Loss 3.5392 (3.3580) Prec@1 27.344 (29.699) Prec@5 53.125 (54.453)
Epoch: [5][3180/5005] Time 0.196 (0.224) Data 0.094 (0.076) Loss 2.9895 (3.3578) Prec@1 36.328 (29.701) Prec@5 60.547 (54.457)
Epoch: [5][3190/5005] Time 0.205 (0.224) Data 0.040 (0.076) Loss 3.2627 (3.3578) Prec@1 30.859 (29.701) Prec@5 58.203 (54.462)
Epoch: [5][3200/5005] Time 0.245 (0.224) Data 0.153 (0.076) Loss 3.3609 (3.3576) Prec@1 27.344 (29.703) Prec@5 52.344 (54.466)
Epoch: [5][3210/5005] Time 0.264 (0.224) Data 0.172 (0.076) Loss 3.5935 (3.3576) Prec@1 26.562 (29.705) Prec@5 51.562 (54.471)
Epoch: [5][3220/5005] Time 0.201 (0.224) Data 0.045 (0.076) Loss 3.3219 (3.3577) Prec@1 30.469 (29.705) Prec@5 58.594 (54.472)
Epoch: [5][3230/5005] Time 0.207 (0.224) Data 0.050 (0.076) Loss 3.2192 (3.3575) Prec@1 32.422 (29.711) Prec@5 55.859 (54.477)
Epoch: [5][3240/5005] Time 0.208 (0.224) Data 0.052 (0.076) Loss 3.5375 (3.3577) Prec@1 27.344 (29.704) Prec@5 48.047 (54.469)
Epoch: [5][3250/5005] Time 0.198 (0.224) Data 0.039 (0.076) Loss 3.2338 (3.3577) Prec@1 31.641 (29.706) Prec@5 59.375 (54.474)
Epoch: [5][3260/5005] Time 0.203 (0.224) Data 0.039 (0.076) Loss 3.3229 (3.3577) Prec@1 32.422 (29.705) Prec@5 56.250 (54.474)
Epoch: [5][3270/5005] Time 0.198 (0.224) Data 0.045 (0.076) Loss 3.4888 (3.3576) Prec@1 28.906 (29.706) Prec@5 55.469 (54.479)
Epoch: [5][3280/5005] Time 0.206 (0.225) Data 0.049 (0.077) Loss 3.2806 (3.3576) Prec@1 33.984 (29.708) Prec@5 57.812 (54.475)
Epoch: [5][3290/5005] Time 0.205 (0.224) Data 0.045 (0.077) Loss 3.2302 (3.3574) Prec@1 32.031 (29.710) Prec@5 57.422 (54.480)
Epoch: [5][3300/5005] Time 0.209 (0.224) Data 0.043 (0.076) Loss 3.3268 (3.3573) Prec@1 27.734 (29.711) Prec@5 55.078 (54.483)
Epoch: [5][3310/5005] Time 0.202 (0.224) Data 0.044 (0.076) Loss 3.3163 (3.3574) Prec@1 27.344 (29.710) Prec@5 55.078 (54.484)
Epoch: [5][3320/5005] Time 0.209 (0.224) Data 0.042 (0.076) Loss 3.4492 (3.3574) Prec@1 30.078 (29.713) Prec@5 55.859 (54.485)
Epoch: [5][3330/5005] Time 0.202 (0.224) Data 0.043 (0.076) Loss 3.3362 (3.3572) Prec@1 29.688 (29.716) Prec@5 52.734 (54.488)
Epoch: [5][3340/5005] Time 0.190 (0.224) Data 0.072 (0.076) Loss 3.3368 (3.3572) Prec@1 27.734 (29.713) Prec@5 55.469 (54.489)
Epoch: [5][3350/5005] Time 0.205 (0.224) Data 0.093 (0.076) Loss 3.4497 (3.3573) Prec@1 27.734 (29.712) Prec@5 55.859 (54.489)
Epoch: [5][3360/5005] Time 0.211 (0.224) Data 0.047 (0.076) Loss 3.2625 (3.3573) Prec@1 33.984 (29.716) Prec@5 55.859 (54.490)
Epoch: [5][3370/5005] Time 0.208 (0.224) Data 0.043 (0.076) Loss 3.2912 (3.3571) Prec@1 28.906 (29.720) Prec@5 53.906 (54.490)
Epoch: [5][3380/5005] Time 0.197 (0.224) Data 0.049 (0.076) Loss 3.1548 (3.3568) Prec@1 33.594 (29.721) Prec@5 54.297 (54.493)
Epoch: [5][3390/5005] Time 0.200 (0.224) Data 0.059 (0.077) Loss 3.2861 (3.3569) Prec@1 31.641 (29.722) Prec@5 57.031 (54.489)
Epoch: [5][3400/5005] Time 0.199 (0.224) Data 0.048 (0.077) Loss 3.1835 (3.3570) Prec@1 31.641 (29.721) Prec@5 59.766 (54.487)
Epoch: [5][3410/5005] Time 0.439 (0.224) Data 0.350 (0.077) Loss 3.2104 (3.3568) Prec@1 32.812 (29.725) Prec@5 56.641 (54.490)
Epoch: [5][3420/5005] Time 0.213 (0.224) Data 0.088 (0.077) Loss 3.2904 (3.3568) Prec@1 33.203 (29.725) Prec@5 58.594 (54.490)
Epoch: [5][3430/5005] Time 0.217 (0.224) Data 0.046 (0.077) Loss 3.2393 (3.3567) Prec@1 34.766 (29.728) Prec@5 58.594 (54.492)
Epoch: [5][3440/5005] Time 0.201 (0.224) Data 0.040 (0.077) Loss 3.5488 (3.3567) Prec@1 26.953 (29.726) Prec@5 50.000 (54.491)
Epoch: [5][3450/5005] Time 0.646 (0.225) Data 0.560 (0.077) Loss 3.1970 (3.3565) Prec@1 32.812 (29.729) Prec@5 59.375 (54.492)
Epoch: [5][3460/5005] Time 0.189 (0.224) Data 0.057 (0.077) Loss 3.2446 (3.3565) Prec@1 30.859 (29.731) Prec@5 53.906 (54.488)
Epoch: [5][3470/5005] Time 0.262 (0.225) Data 0.178 (0.077) Loss 3.1514 (3.3563) Prec@1 34.766 (29.734) Prec@5 57.422 (54.489)
Epoch: [5][3480/5005] Time 0.197 (0.224) Data 0.057 (0.077) Loss 3.2994 (3.3561) Prec@1 32.422 (29.737) Prec@5 56.250 (54.495)
Epoch: [5][3490/5005] Time 0.206 (0.224) Data 0.045 (0.077) Loss 3.5128 (3.3561) Prec@1 23.828 (29.737) Prec@5 49.219 (54.494)
Epoch: [5][3500/5005] Time 0.200 (0.224) Data 0.046 (0.077) Loss 3.1663 (3.3562) Prec@1 28.516 (29.732) Prec@5 58.594 (54.495)
Epoch: [5][3510/5005] Time 0.205 (0.224) Data 0.049 (0.077) Loss 3.3068 (3.3561) Prec@1 28.906 (29.732) Prec@5 55.859 (54.496)
Epoch: [5][3520/5005] Time 0.211 (0.224) Data 0.045 (0.077) Loss 3.5253 (3.3562) Prec@1 28.906 (29.732) Prec@5 50.000 (54.496)
Epoch: [5][3530/5005] Time 0.201 (0.224) Data 0.049 (0.077) Loss 3.2812 (3.3560) Prec@1 32.031 (29.737) Prec@5 55.078 (54.501)
Epoch: [5][3540/5005] Time 0.196 (0.224) Data 0.081 (0.077) Loss 3.3042 (3.3559) Prec@1 30.859 (29.739) Prec@5 57.031 (54.506)
Epoch: [5][3550/5005] Time 0.218 (0.224) Data 0.042 (0.077) Loss 3.1754 (3.3556) Prec@1 28.125 (29.742) Prec@5 57.812 (54.512)
Epoch: [5][3560/5005] Time 0.201 (0.224) Data 0.055 (0.077) Loss 3.4410 (3.3555) Prec@1 30.469 (29.743) Prec@5 52.734 (54.512)
Epoch: [5][3570/5005] Time 0.198 (0.224) Data 0.094 (0.077) Loss 3.3966 (3.3553) Prec@1 29.297 (29.747) Prec@5 56.250 (54.517)
Epoch: [5][3580/5005] Time 0.268 (0.224) Data 0.178 (0.077) Loss 3.3969 (3.3554) Prec@1 32.031 (29.746) Prec@5 53.906 (54.518)
Epoch: [5][3590/5005] Time 0.204 (0.224) Data 0.057 (0.077) Loss 3.4433 (3.3552) Prec@1 27.344 (29.750) Prec@5 51.562 (54.523)
Epoch: [5][3600/5005] Time 0.199 (0.224) Data 0.045 (0.077) Loss 3.4084 (3.3551) Prec@1 28.906 (29.751) Prec@5 53.906 (54.525)
Epoch: [5][3610/5005] Time 0.198 (0.224) Data 0.041 (0.077) Loss 3.3817 (3.3550) Prec@1 27.734 (29.749) Prec@5 55.078 (54.526)
Epoch: [5][3620/5005] Time 0.517 (0.224) Data 0.436 (0.077) Loss 3.4714 (3.3547) Prec@1 28.516 (29.755) Prec@5 53.516 (54.534)
Epoch: [5][3630/5005] Time 0.199 (0.225) Data 0.049 (0.077) Loss 3.7005 (3.3547) Prec@1 21.484 (29.755) Prec@5 51.172 (54.536)
Epoch: [5][3640/5005] Time 0.202 (0.224) Data 0.040 (0.077) Loss 3.3136 (3.3545) Prec@1 31.250 (29.757) Prec@5 53.906 (54.538)
Epoch: [5][3650/5005] Time 0.200 (0.224) Data 0.041 (0.077) Loss 3.2025 (3.3546) Prec@1 25.781 (29.752) Prec@5 58.203 (54.539)
Epoch: [5][3660/5005] Time 0.670 (0.224) Data 0.591 (0.077) Loss 3.3043 (3.3543) Prec@1 28.906 (29.753) Prec@5 57.031 (54.544)
Epoch: [5][3670/5005] Time 0.208 (0.224) Data 0.041 (0.077) Loss 3.3053 (3.3544) Prec@1 33.984 (29.756) Prec@5 57.031 (54.545)
Epoch: [5][3680/5005] Time 0.203 (0.224) Data 0.058 (0.077) Loss 3.5239 (3.3545) Prec@1 22.656 (29.754) Prec@5 51.172 (54.544)
Epoch: [5][3690/5005] Time 0.205 (0.224) Data 0.042 (0.077) Loss 3.1928 (3.3543) Prec@1 31.641 (29.754) Prec@5 57.812 (54.547)
Epoch: [5][3700/5005] Time 0.214 (0.224) Data 0.045 (0.077) Loss 3.4169 (3.3543) Prec@1 30.859 (29.753) Prec@5 53.906 (54.548)
Epoch: [5][3710/5005] Time 0.196 (0.224) Data 0.112 (0.077) Loss 3.2149 (3.3544) Prec@1 30.859 (29.752) Prec@5 57.422 (54.547)
Epoch: [5][3720/5005] Time 0.467 (0.224) Data 0.378 (0.077) Loss 3.6210 (3.3543) Prec@1 28.125 (29.754) Prec@5 49.609 (54.550)
Epoch: [5][3730/5005] Time 0.197 (0.224) Data 0.059 (0.077) Loss 3.1925 (3.3542) Prec@1 28.906 (29.752) Prec@5 58.594 (54.549)
Epoch: [5][3740/5005] Time 0.203 (0.224) Data 0.047 (0.077) Loss 3.4224 (3.3539) Prec@1 28.906 (29.755) Prec@5 53.906 (54.556)
Epoch: [5][3750/5005] Time 0.307 (0.224) Data 0.222 (0.077) Loss 3.1752 (3.3540) Prec@1 31.641 (29.754) Prec@5 56.250 (54.556)
Epoch: [5][3760/5005] Time 0.200 (0.224) Data 0.046 (0.077) Loss 3.3709 (3.3542) Prec@1 30.469 (29.752) Prec@5 51.172 (54.553)
Epoch: [5][3770/5005] Time 0.269 (0.224) Data 0.178 (0.078) Loss 3.4542 (3.3541) Prec@1 29.688 (29.753) Prec@5 50.391 (54.555)
Epoch: [5][3780/5005] Time 0.206 (0.224) Data 0.055 (0.078) Loss 3.4288 (3.3540) Prec@1 29.297 (29.756) Prec@5 52.344 (54.558)
Epoch: [5][3790/5005] Time 0.195 (0.224) Data 0.046 (0.078) Loss 3.5191 (3.3540) Prec@1 27.734 (29.756) Prec@5 54.297 (54.557)
Epoch: [5][3800/5005] Time 0.198 (0.224) Data 0.052 (0.078) Loss 3.0802 (3.3541) Prec@1 36.328 (29.755) Prec@5 62.500 (54.555)
Epoch: [5][3810/5005] Time 0.201 (0.225) Data 0.046 (0.078) Loss 3.2911 (3.3541) Prec@1 30.469 (29.752) Prec@5 57.422 (54.557)
Epoch: [5][3820/5005] Time 0.258 (0.225) Data 0.176 (0.078) Loss 3.2283 (3.3539) Prec@1 33.984 (29.754) Prec@5 55.859 (54.561)
Epoch: [5][3830/5005] Time 0.203 (0.225) Data 0.060 (0.078) Loss 3.5031 (3.3537) Prec@1 27.344 (29.756) Prec@5 50.391 (54.565)
Epoch: [5][3840/5005] Time 0.203 (0.225) Data 0.054 (0.078) Loss 3.6478 (3.3537) Prec@1 26.172 (29.754) Prec@5 46.875 (54.565)
Epoch: [5][3850/5005] Time 0.210 (0.224) Data 0.042 (0.078) Loss 3.2983 (3.3537) Prec@1 28.516 (29.753) Prec@5 56.641 (54.568)
Epoch: [5][3860/5005] Time 0.202 (0.225) Data 0.051 (0.078) Loss 3.2048 (3.3537) Prec@1 35.547 (29.755) Prec@5 58.984 (54.570)
Epoch: [5][3870/5005] Time 0.296 (0.225) Data 0.210 (0.078) Loss 3.2985 (3.3537) Prec@1 30.469 (29.754) Prec@5 54.297 (54.570)
Epoch: [5][3880/5005] Time 0.207 (0.225) Data 0.046 (0.078) Loss 3.1169 (3.3537) Prec@1 34.375 (29.753) Prec@5 57.812 (54.568)
Epoch: [5][3890/5005] Time 0.201 (0.225) Data 0.045 (0.078) Loss 3.5287 (3.3537) Prec@1 24.609 (29.754) Prec@5 53.516 (54.568)
Epoch: [5][3900/5005] Time 0.209 (0.225) Data 0.046 (0.078) Loss 3.6072 (3.3537) Prec@1 28.906 (29.756) Prec@5 48.047 (54.569)
Epoch: [5][3910/5005] Time 0.195 (0.225) Data 0.050 (0.078) Loss 3.3537 (3.3536) Prec@1 31.250 (29.757) Prec@5 52.344 (54.571)
Epoch: [5][3920/5005] Time 0.257 (0.225) Data 0.172 (0.078) Loss 3.4392 (3.3537) Prec@1 30.469 (29.759) Prec@5 52.344 (54.570)
Epoch: [5][3930/5005] Time 0.207 (0.225) Data 0.039 (0.078) Loss 3.1346 (3.3534) Prec@1 31.641 (29.762) Prec@5 57.031 (54.571)
Epoch: [5][3940/5005] Time 0.195 (0.225) Data 0.059 (0.078) Loss 3.2844 (3.3534) Prec@1 30.078 (29.762) Prec@5 56.641 (54.574)
Epoch: [5][3950/5005] Time 0.203 (0.225) Data 0.050 (0.078) Loss 3.2413 (3.3532) Prec@1 28.906 (29.764) Prec@5 55.859 (54.576)
Epoch: [5][3960/5005] Time 0.191 (0.225) Data 0.048 (0.078) Loss 3.0357 (3.3531) Prec@1 36.719 (29.765) Prec@5 59.766 (54.580)
Epoch: [5][3970/5005] Time 0.195 (0.225) Data 0.044 (0.078) Loss 3.5123 (3.3530) Prec@1 28.125 (29.768) Prec@5 50.781 (54.580)
Epoch: [5][3980/5005] Time 0.202 (0.225) Data 0.041 (0.078) Loss 3.1720 (3.3528) Prec@1 31.641 (29.769) Prec@5 57.031 (54.584)
Epoch: [5][3990/5005] Time 0.199 (0.224) Data 0.105 (0.078) Loss 3.4231 (3.3529) Prec@1 29.688 (29.768) Prec@5 55.078 (54.584)
Epoch: [5][4000/5005] Time 0.217 (0.224) Data 0.137 (0.078) Loss 3.3037 (3.3527) Prec@1 28.906 (29.769) Prec@5 53.125 (54.585)
Epoch: [5][4010/5005] Time 0.210 (0.225) Data 0.047 (0.078) Loss 3.3508 (3.3525) Prec@1 30.469 (29.770) Prec@5 52.734 (54.587)
Epoch: [5][4020/5005] Time 0.196 (0.225) Data 0.048 (0.078) Loss 3.4182 (3.3525) Prec@1 28.516 (29.770) Prec@5 51.953 (54.586)
Epoch: [5][4030/5005] Time 0.212 (0.225) Data 0.043 (0.078) Loss 3.4740 (3.3526) Prec@1 31.250 (29.771) Prec@5 53.516 (54.583)
Epoch: [5][4040/5005] Time 0.200 (0.225) Data 0.049 (0.078) Loss 3.3352 (3.3527) Prec@1 30.469 (29.770) Prec@5 55.469 (54.580)
Epoch: [5][4050/5005] Time 0.197 (0.225) Data 0.048 (0.078) Loss 3.5490 (3.3526) Prec@1 25.781 (29.770) Prec@5 51.172 (54.583)
Epoch: [5][4060/5005] Time 0.203 (0.224) Data 0.039 (0.078) Loss 3.3332 (3.3525) Prec@1 30.078 (29.772) Prec@5 53.125 (54.584)
Epoch: [5][4070/5005] Time 0.216 (0.225) Data 0.048 (0.078) Loss 3.4146 (3.3524) Prec@1 29.297 (29.774) Prec@5 55.469 (54.589)
Epoch: [5][4080/5005] Time 0.203 (0.225) Data 0.051 (0.078) Loss 3.3350 (3.3523) Prec@1 29.297 (29.777) Prec@5 55.469 (54.591)
Epoch: [5][4090/5005] Time 0.207 (0.225) Data 0.050 (0.078) Loss 3.4904 (3.3523) Prec@1 28.906 (29.777) Prec@5 55.078 (54.592)
Epoch: [5][4100/5005] Time 0.206 (0.224) Data 0.061 (0.078) Loss 3.2712 (3.3523) Prec@1 31.250 (29.777) Prec@5 54.297 (54.590)
Epoch: [5][4110/5005] Time 0.192 (0.225) Data 0.061 (0.078) Loss 3.5571 (3.3522) Prec@1 27.344 (29.776) Prec@5 53.906 (54.593)
Epoch: [5][4120/5005] Time 0.198 (0.224) Data 0.057 (0.078) Loss 3.4877 (3.3520) Prec@1 26.953 (29.777) Prec@5 53.516 (54.595)
Epoch: [5][4130/5005] Time 0.218 (0.224) Data 0.044 (0.078) Loss 3.6573 (3.3520) Prec@1 26.562 (29.775) Prec@5 48.047 (54.592)
Epoch: [5][4140/5005] Time 0.215 (0.224) Data 0.043 (0.078) Loss 3.3554 (3.3519) Prec@1 30.469 (29.775) Prec@5 54.688 (54.593)
Epoch: [5][4150/5005] Time 0.193 (0.224) Data 0.049 (0.078) Loss 3.5724 (3.3518) Prec@1 27.734 (29.775) Prec@5 50.391 (54.591)
Epoch: [5][4160/5005] Time 0.202 (0.224) Data 0.044 (0.078) Loss 3.2423 (3.3519) Prec@1 30.469 (29.774) Prec@5 58.594 (54.590)
Epoch: [5][4170/5005] Time 0.199 (0.224) Data 0.050 (0.078) Loss 3.1964 (3.3516) Prec@1 28.125 (29.776) Prec@5 58.203 (54.595)
Epoch: [5][4180/5005] Time 0.200 (0.224) Data 0.101 (0.078) Loss 3.4254 (3.3516) Prec@1 31.250 (29.778) Prec@5 54.688 (54.595)
Epoch: [5][4190/5005] Time 0.202 (0.224) Data 0.054 (0.078) Loss 3.2396 (3.3516) Prec@1 29.688 (29.778) Prec@5 55.469 (54.594)
Epoch: [5][4200/5005] Time 0.198 (0.224) Data 0.050 (0.078) Loss 3.2920 (3.3516) Prec@1 28.516 (29.778) Prec@5 54.297 (54.597)
Epoch: [5][4210/5005] Time 0.202 (0.224) Data 0.040 (0.078) Loss 3.2532 (3.3514) Prec@1 30.859 (29.781) Prec@5 55.078 (54.596)
Epoch: [5][4220/5005] Time 0.510 (0.225) Data 0.429 (0.078) Loss 3.4755 (3.3515) Prec@1 29.297 (29.780) Prec@5 51.562 (54.593)
Epoch: [5][4230/5005] Time 0.202 (0.225) Data 0.048 (0.078) Loss 3.3907 (3.3515) Prec@1 29.688 (29.780) Prec@5 54.688 (54.593)
Epoch: [5][4240/5005] Time 0.196 (0.225) Data 0.045 (0.078) Loss 3.1176 (3.3516) Prec@1 30.078 (29.779) Prec@5 58.594 (54.591)
Epoch: [5][4250/5005] Time 0.202 (0.224) Data 0.057 (0.078) Loss 3.1787 (3.3514) Prec@1 33.203 (29.783) Prec@5 58.203 (54.592)
Epoch: [5][4260/5005] Time 0.203 (0.224) Data 0.046 (0.078) Loss 3.3298 (3.3513) Prec@1 31.250 (29.787) Prec@5 53.906 (54.592)
Epoch: [5][4270/5005] Time 0.194 (0.224) Data 0.048 (0.078) Loss 3.6350 (3.3514) Prec@1 26.172 (29.786) Prec@5 48.828 (54.590)
Epoch: [5][4280/5005] Time 0.203 (0.224) Data 0.040 (0.078) Loss 3.3388 (3.3513) Prec@1 32.812 (29.789) Prec@5 56.250 (54.590)
Epoch: [5][4290/5005] Time 0.721 (0.225) Data 0.636 (0.078) Loss 3.5361 (3.3513) Prec@1 25.391 (29.789) Prec@5 50.781 (54.590)
Epoch: [5][4300/5005] Time 0.202 (0.224) Data 0.041 (0.078) Loss 3.1463 (3.3512) Prec@1 29.297 (29.791) Prec@5 58.984 (54.593)
Epoch: [5][4310/5005] Time 0.204 (0.224) Data 0.047 (0.078) Loss 3.2012 (3.3512) Prec@1 33.594 (29.790) Prec@5 57.031 (54.594)
Epoch: [5][4320/5005] Time 0.199 (0.225) Data 0.056 (0.078) Loss 3.3900 (3.3513) Prec@1 29.297 (29.791) Prec@5 56.250 (54.593)
Epoch: [5][4330/5005] Time 0.197 (0.224) Data 0.045 (0.078) Loss 3.2028 (3.3511) Prec@1 30.078 (29.797) Prec@5 56.250 (54.596)
Epoch: [5][4340/5005] Time 0.210 (0.224) Data 0.064 (0.078) Loss 3.2736 (3.3511) Prec@1 31.641 (29.794) Prec@5 55.078 (54.594)
Epoch: [5][4350/5005] Time 0.458 (0.224) Data 0.371 (0.078) Loss 3.2671 (3.3510) Prec@1 32.031 (29.797) Prec@5 56.250 (54.598)
Epoch: [5][4360/5005] Time 0.194 (0.225) Data 0.090 (0.079) Loss 3.1748 (3.3508) Prec@1 33.203 (29.801) Prec@5 57.422 (54.601)
Epoch: [5][4370/5005] Time 0.209 (0.225) Data 0.046 (0.079) Loss 3.3599 (3.3507) Prec@1 29.297 (29.804) Prec@5 53.125 (54.603)
Epoch: [5][4380/5005] Time 0.191 (0.225) Data 0.056 (0.079) Loss 3.4229 (3.3506) Prec@1 27.344 (29.804) Prec@5 51.953 (54.608)
Epoch: [5][4390/5005] Time 0.196 (0.225) Data 0.052 (0.079) Loss 3.3548 (3.3503) Prec@1 33.594 (29.809) Prec@5 52.734 (54.610)
Epoch: [5][4400/5005] Time 0.209 (0.225) Data 0.044 (0.079) Loss 3.2276 (3.3503) Prec@1 30.859 (29.811) Prec@5 58.594 (54.612)
Epoch: [5][4410/5005] Time 0.203 (0.225) Data 0.040 (0.079) Loss 3.3817 (3.3503) Prec@1 26.953 (29.808) Prec@5 56.250 (54.613)
Epoch: [5][4420/5005] Time 0.332 (0.225) Data 0.248 (0.079) Loss 2.8789 (3.3500) Prec@1 39.062 (29.811) Prec@5 60.938 (54.616)
Epoch: [5][4430/5005] Time 0.210 (0.225) Data 0.044 (0.079) Loss 3.3652 (3.3497) Prec@1 28.125 (29.816) Prec@5 53.906 (54.619)
Epoch: [5][4440/5005] Time 0.214 (0.225) Data 0.040 (0.079) Loss 3.4980 (3.3497) Prec@1 25.781 (29.819) Prec@5 51.562 (54.621)
Epoch: [5][4450/5005] Time 0.248 (0.224) Data 0.163 (0.079) Loss 3.1898 (3.3496) Prec@1 33.984 (29.819) Prec@5 56.641 (54.623)
Epoch: [5][4460/5005] Time 0.215 (0.225) Data 0.137 (0.079) Loss 3.3887 (3.3494) Prec@1 27.734 (29.823) Prec@5 55.859 (54.625)
Epoch: [5][4470/5005] Time 0.199 (0.224) Data 0.049 (0.079) Loss 3.3461 (3.3494) Prec@1 30.078 (29.823) Prec@5 53.906 (54.627)
Epoch: [5][4480/5005] Time 0.203 (0.225) Data 0.046 (0.079) Loss 3.1065 (3.3494) Prec@1 32.031 (29.825) Prec@5 56.641 (54.626)
Epoch: [5][4490/5005] Time 0.195 (0.225) Data 0.053 (0.079) Loss 3.2791 (3.3495) Prec@1 29.297 (29.824) Prec@5 56.641 (54.625)
Epoch: [5][4500/5005] Time 0.657 (0.225) Data 0.578 (0.079) Loss 3.1304 (3.3494) Prec@1 35.547 (29.825) Prec@5 56.641 (54.625)
Epoch: [5][4510/5005] Time 0.206 (0.225) Data 0.041 (0.079) Loss 3.2866 (3.3494) Prec@1 30.469 (29.823) Prec@5 56.250 (54.623)
Epoch: [5][4520/5005] Time 0.214 (0.225) Data 0.048 (0.079) Loss 3.3895 (3.3493) Prec@1 30.859 (29.824) Prec@5 54.688 (54.629)
Epoch: [5][4530/5005] Time 0.204 (0.225) Data 0.048 (0.079) Loss 3.1544 (3.3493) Prec@1 32.812 (29.825) Prec@5 59.766 (54.630)
Epoch: [5][4540/5005] Time 0.202 (0.225) Data 0.041 (0.079) Loss 3.7614 (3.3495) Prec@1 27.344 (29.823) Prec@5 50.781 (54.628)
Epoch: [5][4550/5005] Time 0.212 (0.225) Data 0.040 (0.079) Loss 3.4328 (3.3495) Prec@1 31.641 (29.823) Prec@5 55.469 (54.629)
Epoch: [5][4560/5005] Time 0.191 (0.225) Data 0.048 (0.079) Loss 3.2660 (3.3493) Prec@1 30.859 (29.825) Prec@5 55.078 (54.633)
Epoch: [5][4570/5005] Time 0.207 (0.225) Data 0.048 (0.079) Loss 3.3718 (3.3491) Prec@1 30.078 (29.827) Prec@5 55.859 (54.637)
Epoch: [5][4580/5005] Time 0.191 (0.224) Data 0.060 (0.079) Loss 3.3916 (3.3490) Prec@1 26.953 (29.828) Prec@5 50.781 (54.639)
Epoch: [5][4590/5005] Time 0.334 (0.225) Data 0.252 (0.079) Loss 3.2262 (3.3491) Prec@1 29.688 (29.829) Prec@5 54.297 (54.639)
Epoch: [5][4600/5005] Time 0.656 (0.225) Data 0.571 (0.079) Loss 3.0837 (3.3490) Prec@1 31.641 (29.829) Prec@5 59.766 (54.640)
Epoch: [5][4610/5005] Time 0.202 (0.225) Data 0.064 (0.079) Loss 3.1039 (3.3488) Prec@1 35.156 (29.833) Prec@5 59.375 (54.643)
Epoch: [5][4620/5005] Time 0.253 (0.225) Data 0.171 (0.079) Loss 3.1883 (3.3487) Prec@1 34.375 (29.835) Prec@5 55.469 (54.646)
Epoch: [5][4630/5005] Time 0.208 (0.225) Data 0.045 (0.079) Loss 3.0784 (3.3487) Prec@1 36.328 (29.835) Prec@5 61.328 (54.648)
Epoch: [5][4640/5005] Time 0.197 (0.224) Data 0.049 (0.079) Loss 3.3218 (3.3485) Prec@1 32.812 (29.838) Prec@5 57.422 (54.651)
Epoch: [5][4650/5005] Time 0.196 (0.225) Data 0.048 (0.079) Loss 3.4259 (3.3485) Prec@1 28.125 (29.839) Prec@5 53.125 (54.652)
Epoch: [5][4660/5005] Time 0.196 (0.224) Data 0.049 (0.079) Loss 3.4639 (3.3484) Prec@1 31.641 (29.839) Prec@5 54.688 (54.654)
Epoch: [5][4670/5005] Time 0.456 (0.225) Data 0.370 (0.079) Loss 3.1924 (3.3482) Prec@1 32.812 (29.844) Prec@5 55.469 (54.659)
Epoch: [5][4680/5005] Time 0.197 (0.225) Data 0.048 (0.079) Loss 3.1749 (3.3481) Prec@1 32.031 (29.844) Prec@5 57.422 (54.661)
Epoch: [5][4690/5005] Time 0.201 (0.225) Data 0.048 (0.079) Loss 3.6017 (3.3482) Prec@1 25.000 (29.842) Prec@5 48.828 (54.658)
Epoch: [5][4700/5005] Time 0.212 (0.225) Data 0.055 (0.079) Loss 3.2965 (3.3480) Prec@1 31.250 (29.846) Prec@5 58.594 (54.661)
Epoch: [5][4710/5005] Time 0.192 (0.225) Data 0.047 (0.079) Loss 3.2900 (3.3478) Prec@1 30.859 (29.849) Prec@5 57.031 (54.664)
Epoch: [5][4720/5005] Time 0.206 (0.225) Data 0.038 (0.079) Loss 3.1428 (3.3478) Prec@1 33.203 (29.850) Prec@5 60.938 (54.666)
Epoch: [5][4730/5005] Time 0.210 (0.224) Data 0.051 (0.079) Loss 3.2653 (3.3479) Prec@1 28.125 (29.849) Prec@5 52.734 (54.662)
Epoch: [5][4740/5005] Time 0.209 (0.225) Data 0.039 (0.079) Loss 3.3474 (3.3478) Prec@1 28.125 (29.850) Prec@5 50.391 (54.662)
Epoch: [5][4750/5005] Time 0.192 (0.224) Data 0.043 (0.079) Loss 3.4077 (3.3478) Prec@1 25.781 (29.850) Prec@5 52.734 (54.662)
Epoch: [5][4760/5005] Time 0.197 (0.224) Data 0.045 (0.079) Loss 3.6432 (3.3477) Prec@1 24.219 (29.852) Prec@5 47.656 (54.660)
Epoch: [5][4770/5005] Time 0.196 (0.224) Data 0.094 (0.079) Loss 3.2750 (3.3476) Prec@1 30.469 (29.854) Prec@5 55.078 (54.664)
Epoch: [5][4780/5005] Time 0.204 (0.225) Data 0.043 (0.079) Loss 3.3954 (3.3476) Prec@1 30.469 (29.855) Prec@5 53.906 (54.666)
Epoch: [5][4790/5005] Time 0.213 (0.225) Data 0.049 (0.079) Loss 3.4516 (3.3475) Prec@1 33.594 (29.857) Prec@5 50.781 (54.669)
Epoch: [5][4800/5005] Time 0.202 (0.225) Data 0.045 (0.079) Loss 3.3928 (3.3474) Prec@1 27.734 (29.857) Prec@5 53.516 (54.671)
Epoch: [5][4810/5005] Time 0.531 (0.225) Data 0.439 (0.079) Loss 3.4536 (3.3472) Prec@1 27.344 (29.859) Prec@5 53.125 (54.673)
Epoch: [5][4820/5005] Time 0.203 (0.225) Data 0.108 (0.079) Loss 3.5303 (3.3471) Prec@1 28.125 (29.861) Prec@5 49.219 (54.673)
Epoch: [5][4830/5005] Time 0.190 (0.225) Data 0.063 (0.079) Loss 3.2458 (3.3468) Prec@1 33.594 (29.865) Prec@5 55.859 (54.677)
Epoch: [5][4840/5005] Time 0.506 (0.225) Data 0.417 (0.079) Loss 3.0463 (3.3468) Prec@1 36.719 (29.863) Prec@5 60.156 (54.677)
Epoch: [5][4850/5005] Time 0.211 (0.225) Data 0.043 (0.079) Loss 3.4806 (3.3469) Prec@1 28.125 (29.863) Prec@5 51.953 (54.672)
Epoch: [5][4860/5005] Time 0.210 (0.225) Data 0.041 (0.079) Loss 3.2378 (3.3468) Prec@1 28.125 (29.864) Prec@5 55.469 (54.675)
Epoch: [5][4870/5005] Time 0.203 (0.225) Data 0.042 (0.079) Loss 3.1292 (3.3467) Prec@1 34.766 (29.866) Prec@5 58.203 (54.678)
Epoch: [5][4880/5005] Time 0.212 (0.225) Data 0.045 (0.079) Loss 3.2661 (3.3466) Prec@1 32.812 (29.871) Prec@5 55.078 (54.682)
Epoch: [5][4890/5005] Time 0.202 (0.224) Data 0.042 (0.079) Loss 3.2994 (3.3465) Prec@1 33.203 (29.872) Prec@5 53.516 (54.683)
Epoch: [5][4900/5005] Time 0.194 (0.225) Data 0.046 (0.079) Loss 3.1243 (3.3463) Prec@1 31.641 (29.876) Prec@5 60.547 (54.685)
Epoch: [5][4910/5005] Time 0.197 (0.224) Data 0.045 (0.079) Loss 3.3670 (3.3460) Prec@1 25.391 (29.880) Prec@5 57.031 (54.691)
Epoch: [5][4920/5005] Time 0.202 (0.225) Data 0.046 (0.079) Loss 3.3173 (3.3460) Prec@1 25.391 (29.879) Prec@5 52.734 (54.690)
Epoch: [5][4930/5005] Time 0.200 (0.225) Data 0.092 (0.079) Loss 3.3360 (3.3457) Prec@1 32.422 (29.884) Prec@5 57.812 (54.695)
Epoch: [5][4940/5005] Time 0.192 (0.225) Data 0.069 (0.079) Loss 3.4933 (3.3459) Prec@1 30.469 (29.885) Prec@5 50.781 (54.692)
Epoch: [5][4950/5005] Time 0.194 (0.225) Data 0.045 (0.079) Loss 3.1169 (3.3459) Prec@1 30.469 (29.885) Prec@5 60.156 (54.691)
Epoch: [5][4960/5005] Time 0.208 (0.225) Data 0.065 (0.079) Loss 3.5705 (3.3458) Prec@1 25.000 (29.885) Prec@5 53.516 (54.695)
Epoch: [5][4970/5005] Time 0.205 (0.225) Data 0.045 (0.079) Loss 3.4254 (3.3457) Prec@1 27.344 (29.885) Prec@5 48.438 (54.696)
Epoch: [5][4980/5005] Time 0.213 (0.225) Data 0.046 (0.079) Loss 3.3647 (3.3455) Prec@1 30.078 (29.886) Prec@5 56.250 (54.701)
Epoch: [5][4990/5005] Time 0.209 (0.225) Data 0.035 (0.079) Loss 3.4319 (3.3454) Prec@1 27.344 (29.888) Prec@5 53.516 (54.704)
Epoch: [5][5000/5005] Time 0.191 (0.225) Data 0.070 (0.079) Loss 3.3130 (3.3453) Prec@1 29.688 (29.887) Prec@5 55.469 (54.705)
Test: [0/196] Time 2.535 (2.535) Loss 3.5102 (3.5102) Prec@1 28.125 (28.125) Prec@5 51.562 (51.562)
Test: [10/196] Time 0.044 (0.409) Loss 3.4934 (3.6282) Prec@1 31.641 (26.136) Prec@5 52.344 (49.680)
Test: [20/196] Time 0.043 (0.303) Loss 3.6184 (3.6348) Prec@1 26.172 (26.042) Prec@5 50.000 (49.851)
Test: [30/196] Time 0.211 (0.268) Loss 3.6385 (3.6613) Prec@1 28.906 (25.895) Prec@5 50.781 (49.320)
Test: [40/196] Time 0.894 (0.270) Loss 3.5543 (3.6621) Prec@1 25.000 (25.819) Prec@5 48.828 (49.457)
Test: [50/196] Time 0.045 (0.264) Loss 3.7209 (3.6707) Prec@1 23.438 (25.712) Prec@5 52.344 (49.288)
Test: [60/196] Time 0.043 (0.247) Loss 3.5569 (3.6568) Prec@1 30.859 (25.877) Prec@5 50.781 (49.340)
Test: [70/196] Time 0.103 (0.245) Loss 3.6527 (3.6458) Prec@1 24.219 (25.968) Prec@5 47.656 (49.428)
Test: [80/196] Time 0.668 (0.246) Loss 3.4351 (3.6473) Prec@1 30.469 (25.989) Prec@5 57.031 (49.532)
Test: [90/196] Time 0.047 (0.242) Loss 3.6101 (3.6480) Prec@1 30.078 (26.060) Prec@5 48.438 (49.442)
Test: [100/196] Time 0.050 (0.240) Loss 3.6958 (3.6484) Prec@1 26.953 (25.975) Prec@5 50.781 (49.528)
Test: [110/196] Time 0.044 (0.238) Loss 3.9179 (3.6469) Prec@1 22.656 (25.908) Prec@5 44.531 (49.588)
Test: [120/196] Time 0.943 (0.241) Loss 3.5279 (3.6405) Prec@1 22.266 (25.923) Prec@5 51.172 (49.648)
Test: [130/196] Time 0.043 (0.238) Loss 3.2382 (3.6354) Prec@1 29.688 (26.026) Prec@5 56.641 (49.758)
Test: [140/196] Time 0.785 (0.236) Loss 3.4884 (3.6378) Prec@1 28.125 (26.025) Prec@5 48.828 (49.668)
Test: [150/196] Time 0.046 (0.234) Loss 3.3939 (3.6337) Prec@1 26.953 (26.053) Prec@5 53.906 (49.734)
Test: [160/196] Time 0.667 (0.235) Loss 3.5244 (3.6304) Prec@1 31.250 (26.148) Prec@5 52.734 (49.716)
Test: [170/196] Time 0.043 (0.232) Loss 3.3334 (3.6296) Prec@1 29.688 (26.234) Prec@5 56.250 (49.769)
Test: [180/196] Time 0.043 (0.231) Loss 3.7631 (3.6345) Prec@1 24.219 (26.176) Prec@5 48.438 (49.663)
Test: [190/196] Time 0.044 (0.232) Loss 3.8656 (3.6379) Prec@1 21.484 (26.135) Prec@5 42.188 (49.585)
* Prec@1 26.138 Prec@5 49.586
Learning rate: 0.001
Epoch: [6][0/5005] Time 2.158 (2.158) Data 2.053 (2.053) Loss 3.1689 (3.1689) Prec@1 32.812 (32.812) Prec@5 59.766 (59.766)
Epoch: [6][10/5005] Time 0.196 (0.379) Data 0.047 (0.233) Loss 3.0842 (3.2804) Prec@1 33.594 (31.001) Prec@5 60.547 (56.854)
Epoch: [6][20/5005] Time 0.195 (0.295) Data 0.049 (0.146) Loss 3.5013 (3.3109) Prec@1 27.734 (30.394) Prec@5 54.297 (56.008)
Epoch: [6][30/5005] Time 0.207 (0.265) Data 0.052 (0.115) Loss 3.3036 (3.2822) Prec@1 29.297 (30.746) Prec@5 55.859 (56.376)
Epoch: [6][40/5005] Time 0.196 (0.249) Data 0.045 (0.099) Loss 3.1825 (3.2991) Prec@1 31.250 (30.583) Prec@5 57.812 (55.631)
Epoch: [6][50/5005] Time 0.199 (0.239) Data 0.042 (0.089) Loss 3.1602 (3.2880) Prec@1 30.078 (30.706) Prec@5 58.984 (55.836)
Epoch: [6][60/5005] Time 0.202 (0.233) Data 0.044 (0.081) Loss 3.2384 (3.2838) Prec@1 26.172 (30.699) Prec@5 56.641 (55.847)
Epoch: [6][70/5005] Time 0.204 (0.229) Data 0.044 (0.076) Loss 3.2197 (3.2968) Prec@1 30.469 (30.425) Prec@5 57.812 (55.667)
Epoch: [6][80/5005] Time 0.202 (0.225) Data 0.042 (0.072) Loss 3.2347 (3.2989) Prec@1 32.422 (30.295) Prec@5 58.203 (55.676)
Epoch: [6][90/5005] Time 0.199 (0.222) Data 0.041 (0.070) Loss 3.3269 (3.2957) Prec@1 35.156 (30.361) Prec@5 56.641 (55.859)
Epoch: [6][100/5005] Time 0.194 (0.220) Data 0.044 (0.067) Loss 3.0798 (3.2924) Prec@1 30.078 (30.372) Prec@5 59.375 (55.898)
Epoch: [6][110/5005] Time 0.193 (0.219) Data 0.048 (0.065) Loss 3.3000 (3.2959) Prec@1 30.469 (30.423) Prec@5 57.031 (55.880)
Epoch: [6][120/5005] Time 0.198 (0.221) Data 0.043 (0.064) Loss 3.3903 (3.2989) Prec@1 29.688 (30.462) Prec@5 51.953 (55.782)
Epoch: [6][130/5005] Time 0.202 (0.219) Data 0.045 (0.062) Loss 3.4274 (3.2971) Prec@1 30.469 (30.484) Prec@5 56.250 (55.839)
Epoch: [6][140/5005] Time 0.194 (0.218) Data 0.041 (0.061) Loss 3.3169 (3.2981) Prec@1 27.734 (30.380) Prec@5 55.859 (55.823)
Epoch: [6][150/5005] Time 0.189 (0.219) Data 0.044 (0.061) Loss 3.4454 (3.3007) Prec@1 28.906 (30.324) Prec@5 52.344 (55.792)
Epoch: [6][160/5005] Time 0.192 (0.219) Data 0.048 (0.062) Loss 3.1987 (3.3024) Prec@1 30.469 (30.333) Prec@5 58.203 (55.750)
Epoch: [6][170/5005] Time 0.425 (0.220) Data 0.344 (0.066) Loss 3.3797 (3.3042) Prec@1 30.469 (30.332) Prec@5 56.641 (55.711)
Epoch: [6][180/5005] Time 0.212 (0.222) Data 0.042 (0.068) Loss 3.5329 (3.3048) Prec@1 27.734 (30.350) Prec@5 50.391 (55.695)
Epoch: [6][190/5005] Time 0.220 (0.223) Data 0.045 (0.069) Loss 3.5061 (3.3083) Prec@1 26.562 (30.285) Prec@5 51.562 (55.641)
Epoch: [6][200/5005] Time 0.212 (0.223) Data 0.042 (0.069) Loss 3.4950 (3.3082) Prec@1 28.125 (30.300) Prec@5 52.344 (55.642)
Epoch: [6][210/5005] Time 0.229 (0.224) Data 0.143 (0.070) Loss 3.2430 (3.3085) Prec@1 32.422 (30.267) Prec@5 58.984 (55.646)
Epoch: [6][220/5005] Time 0.216 (0.225) Data 0.045 (0.071) Loss 3.2210 (3.3085) Prec@1 33.984 (30.281) Prec@5 59.375 (55.635)
Epoch: [6][230/5005] Time 0.219 (0.225) Data 0.046 (0.071) Loss 3.3173 (3.3073) Prec@1 34.375 (30.327) Prec@5 56.250 (55.684)
Epoch: [6][240/5005] Time 0.207 (0.231) Data 0.045 (0.070) Loss 3.2206 (3.3082) Prec@1 33.203 (30.318) Prec@5 57.422 (55.675)
Epoch: [6][250/5005] Time 0.208 (0.230) Data 0.044 (0.069) Loss 3.5063 (3.3076) Prec@1 27.734 (30.343) Prec@5 50.781 (55.679)
Epoch: [6][260/5005] Time 0.215 (0.229) Data 0.042 (0.069) Loss 3.0969 (3.3062) Prec@1 30.859 (30.370) Prec@5 60.156 (55.755)
Epoch: [6][270/5005] Time 0.198 (0.228) Data 0.044 (0.068) Loss 3.2573 (3.3049) Prec@1 30.859 (30.391) Prec@5 57.812 (55.760)
Epoch: [6][280/5005] Time 0.210 (0.228) Data 0.043 (0.067) Loss 3.6314 (3.3066) Prec@1 26.953 (30.401) Prec@5 52.344 (55.726)
Epoch: [6][290/5005] Time 0.212 (0.230) Data 0.045 (0.067) Loss 3.1147 (3.3080) Prec@1 34.375 (30.361) Prec@5 60.156 (55.665)
Epoch: [6][300/5005] Time 0.207 (0.229) Data 0.051 (0.066) Loss 3.1710 (3.3074) Prec@1 30.469 (30.396) Prec@5 60.156 (55.653)
Epoch: [6][310/5005] Time 0.200 (0.230) Data 0.050 (0.068) Loss 3.1815 (3.3026) Prec@1 26.172 (30.417) Prec@5 60.156 (55.750)
Epoch: [6][320/5005] Time 0.202 (0.230) Data 0.043 (0.069) Loss 3.4990 (3.3034) Prec@1 27.344 (30.415) Prec@5 55.469 (55.772)
Epoch: [6][330/5005] Time 0.476 (0.231) Data 0.384 (0.071) Loss 2.8980 (3.3006) Prec@1 37.891 (30.478) Prec@5 60.547 (55.778)
Epoch: [6][340/5005] Time 0.188 (0.231) Data 0.104 (0.073) Loss 3.4298 (3.3036) Prec@1 30.469 (30.507) Prec@5 53.906 (55.731)
Epoch: [6][350/5005] Time 0.210 (0.231) Data 0.062 (0.072) Loss 3.4249 (3.3033) Prec@1 30.469 (30.544) Prec@5 53.125 (55.722)
Epoch: [6][360/5005] Time 0.217 (0.231) Data 0.044 (0.072) Loss 3.3719 (3.3039) Prec@1 30.859 (30.551) Prec@5 54.688 (55.713)
Epoch: [6][370/5005] Time 0.204 (0.230) Data 0.046 (0.071) Loss 3.3336 (3.3017) Prec@1 31.641 (30.588) Prec@5 56.641 (55.737)
Epoch: [6][380/5005] Time 0.205 (0.229) Data 0.056 (0.071) Loss 3.2789 (3.3023) Prec@1 30.859 (30.571) Prec@5 54.688 (55.707)
Epoch: [6][390/5005] Time 0.211 (0.229) Data 0.042 (0.070) Loss 3.1090 (3.3028) Prec@1 37.109 (30.572) Prec@5 58.203 (55.723)
Epoch: [6][400/5005] Time 0.213 (0.229) Data 0.044 (0.069) Loss 3.2453 (3.3018) Prec@1 28.906 (30.570) Prec@5 58.203 (55.733)
Epoch: [6][410/5005] Time 0.212 (0.228) Data 0.041 (0.069) Loss 3.0052 (3.3012) Prec@1 31.250 (30.580) Prec@5 62.500 (55.753)
Epoch: [6][420/5005] Time 0.216 (0.228) Data 0.039 (0.068) Loss 3.3001 (3.3004) Prec@1 30.859 (30.587) Prec@5 58.984 (55.784)
Epoch: [6][430/5005] Time 0.206 (0.228) Data 0.042 (0.067) Loss 3.1952 (3.3010) Prec@1 33.203 (30.566) Prec@5 57.031 (55.775)
Epoch: [6][440/5005] Time 0.216 (0.227) Data 0.046 (0.067) Loss 3.1750 (3.3004) Prec@1 32.422 (30.564) Prec@5 58.203 (55.784)
Epoch: [6][450/5005] Time 0.225 (0.227) Data 0.045 (0.066) Loss 3.2980 (3.3002) Prec@1 28.906 (30.561) Prec@5 52.344 (55.777)
Epoch: [6][460/5005] Time 0.202 (0.227) Data 0.049 (0.066) Loss 3.4362 (3.3006) Prec@1 31.250 (30.550) Prec@5 52.734 (55.790)
Epoch: [6][470/5005] Time 0.204 (0.226) Data 0.043 (0.066) Loss 3.1998 (3.3023) Prec@1 31.641 (30.542) Prec@5 58.594 (55.754)
Epoch: [6][480/5005] Time 0.213 (0.226) Data 0.040 (0.065) Loss 3.2564 (3.3021) Prec@1 31.250 (30.563) Prec@5 57.422 (55.755)
Epoch: [6][490/5005] Time 0.207 (0.226) Data 0.045 (0.065) Loss 3.2639 (3.3033) Prec@1 35.938 (30.559) Prec@5 56.250 (55.720)
Epoch: [6][500/5005] Time 0.208 (0.225) Data 0.039 (0.065) Loss 3.3941 (3.3052) Prec@1 28.125 (30.573) Prec@5 51.953 (55.700)
Epoch: [6][510/5005] Time 0.209 (0.225) Data 0.039 (0.064) Loss 3.6152 (3.3061) Prec@1 25.000 (30.572) Prec@5 48.438 (55.685)
Epoch: [6][520/5005] Time 0.210 (0.225) Data 0.042 (0.064) Loss 3.3983 (3.3054) Prec@1 25.391 (30.585) Prec@5 52.344 (55.697)
Epoch: [6][530/5005] Time 0.209 (0.224) Data 0.047 (0.064) Loss 3.2628 (3.3051) Prec@1 31.250 (30.575) Prec@5 58.984 (55.707)
Epoch: [6][540/5005] Time 0.209 (0.224) Data 0.042 (0.063) Loss 3.5114 (3.3057) Prec@1 28.906 (30.573) Prec@5 50.391 (55.680)
Epoch: [6][550/5005] Time 0.210 (0.224) Data 0.042 (0.063) Loss 3.2370 (3.3043) Prec@1 28.906 (30.596) Prec@5 56.641 (55.689)
Epoch: [6][560/5005] Time 0.198 (0.224) Data 0.047 (0.063) Loss 3.4795 (3.3039) Prec@1 29.297 (30.603) Prec@5 51.172 (55.696)
Epoch: [6][570/5005] Time 0.212 (0.224) Data 0.052 (0.062) Loss 3.3702 (3.3045) Prec@1 31.641 (30.592) Prec@5 53.125 (55.669)
Epoch: [6][580/5005] Time 0.213 (0.223) Data 0.044 (0.062) Loss 3.3355 (3.3042) Prec@1 28.125 (30.578) Prec@5 56.250 (55.679)
Epoch: [6][590/5005] Time 0.206 (0.223) Data 0.043 (0.062) Loss 3.4461 (3.3041) Prec@1 30.469 (30.578) Prec@5 50.391 (55.666)
Epoch: [6][600/5005] Time 0.216 (0.223) Data 0.044 (0.062) Loss 3.2963 (3.3050) Prec@1 32.812 (30.573) Prec@5 56.641 (55.660)
Epoch: [6][610/5005] Time 0.209 (0.223) Data 0.039 (0.061) Loss 3.1555 (3.3044) Prec@1 32.031 (30.570) Prec@5 59.375 (55.651)
Epoch: [6][620/5005] Time 0.199 (0.223) Data 0.060 (0.061) Loss 3.2961 (3.3036) Prec@1 32.422 (30.591) Prec@5 54.688 (55.662)
Epoch: [6][630/5005] Time 0.215 (0.222) Data 0.046 (0.061) Loss 3.4643 (3.3036) Prec@1 28.125 (30.601) Prec@5 55.078 (55.687)
Epoch: [6][640/5005] Time 0.213 (0.222) Data 0.045 (0.061) Loss 3.2213 (3.3034) Prec@1 30.859 (30.599) Prec@5 55.859 (55.705)
Epoch: [6][650/5005] Time 0.213 (0.222) Data 0.042 (0.060) Loss 3.5467 (3.3046) Prec@1 26.953 (30.581) Prec@5 52.344 (55.690)
Epoch: [6][660/5005] Time 0.207 (0.222) Data 0.052 (0.060) Loss 3.3425 (3.3038) Prec@1 30.078 (30.588) Prec@5 55.469 (55.700)
Epoch: [6][670/5005] Time 0.212 (0.222) Data 0.048 (0.060) Loss 3.6077 (3.3034) Prec@1 23.047 (30.600) Prec@5 52.734 (55.710)
Epoch: [6][680/5005] Time 0.206 (0.222) Data 0.049 (0.060) Loss 3.2997 (3.3040) Prec@1 29.688 (30.592) Prec@5 57.031 (55.683)
Epoch: [6][690/5005] Time 0.214 (0.222) Data 0.043 (0.060) Loss 3.1222 (3.3038) Prec@1 32.812 (30.581) Prec@5 59.766 (55.680)
Epoch: [6][700/5005] Time 0.196 (0.221) Data 0.051 (0.060) Loss 3.2593 (3.3038) Prec@1 32.422 (30.581) Prec@5 55.859 (55.668)
Epoch: [6][710/5005] Time 0.215 (0.221) Data 0.048 (0.059) Loss 3.1027 (3.3034) Prec@1 33.984 (30.574) Prec@5 55.469 (55.671)
Epoch: [6][720/5005] Time 0.214 (0.221) Data 0.057 (0.059) Loss 3.0389 (3.3021) Prec@1 32.031 (30.600) Prec@5 57.031 (55.682)
Epoch: [6][730/5005] Time 0.213 (0.221) Data 0.045 (0.059) Loss 3.4434 (3.3024) Prec@1 32.812 (30.613) Prec@5 55.078 (55.690)
Epoch: [6][740/5005] Time 0.213 (0.221) Data 0.048 (0.059) Loss 3.4193 (3.3019) Prec@1 28.125 (30.614) Prec@5 54.297 (55.692)
Epoch: [6][750/5005] Time 0.209 (0.221) Data 0.040 (0.059) Loss 3.2430 (3.3019) Prec@1 27.734 (30.609) Prec@5 55.469 (55.681)
Epoch: [6][760/5005] Time 0.209 (0.221) Data 0.045 (0.059) Loss 3.3987 (3.3028) Prec@1 27.734 (30.584) Prec@5 53.906 (55.653)
Epoch: [6][770/5005] Time 0.198 (0.220) Data 0.046 (0.058) Loss 3.3209 (3.3012) Prec@1 26.172 (30.608) Prec@5 57.422 (55.688)
Epoch: [6][780/5005] Time 0.215 (0.220) Data 0.044 (0.058) Loss 3.3465 (3.3012) Prec@1 30.469 (30.615) Prec@5 54.297 (55.687)
Epoch: [6][790/5005] Time 0.214 (0.220) Data 0.044 (0.058) Loss 3.2305 (3.3008) Prec@1 27.734 (30.628) Prec@5 56.250 (55.700)
Epoch: [6][800/5005] Time 0.209 (0.220) Data 0.040 (0.058) Loss 3.0897 (3.3003) Prec@1 33.984 (30.636) Prec@5 58.203 (55.702)
Epoch: [6][810/5005] Time 0.195 (0.220) Data 0.047 (0.058) Loss 3.3850 (3.3010) Prec@1 29.297 (30.626) Prec@5 52.344 (55.685)
Epoch: [6][820/5005] Time 0.208 (0.220) Data 0.041 (0.059) Loss 3.5474 (3.3017) Prec@1 30.859 (30.607) Prec@5 51.172 (55.674)
Epoch: [6][830/5005] Time 0.193 (0.220) Data 0.091 (0.059) Loss 3.2981 (3.3019) Prec@1 31.641 (30.613) Prec@5 55.078 (55.663)
Epoch: [6][840/5005] Time 0.206 (0.221) Data 0.045 (0.060) Loss 3.2099 (3.3017) Prec@1 33.594 (30.618) Prec@5 54.297 (55.665)
Epoch: [6][850/5005] Time 0.492 (0.221) Data 0.410 (0.060) Loss 3.6214 (3.3014) Prec@1 25.781 (30.634) Prec@5 53.906 (55.668)
Epoch: [6][860/5005] Time 0.205 (0.221) Data 0.044 (0.060) Loss 3.3486 (3.3013) Prec@1 28.906 (30.633) Prec@5 57.031 (55.670)
Epoch: [6][870/5005] Time 0.220 (0.221) Data 0.046 (0.060) Loss 3.3448 (3.3005) Prec@1 28.516 (30.655) Prec@5 56.250 (55.676)
Epoch: [6][880/5005] Time 0.207 (0.221) Data 0.045 (0.061) Loss 3.2133 (3.3012) Prec@1 28.125 (30.650) Prec@5 55.859 (55.668)
Epoch: [6][890/5005] Time 0.196 (0.221) Data 0.114 (0.061) Loss 3.4921 (3.3009) Prec@1 32.031 (30.650) Prec@5 55.078 (55.675)
Epoch: [6][900/5005] Time 0.215 (0.221) Data 0.053 (0.061) Loss 3.1727 (3.3003) Prec@1 32.812 (30.653) Prec@5 60.547 (55.680)
Epoch: [6][910/5005] Time 0.214 (0.221) Data 0.049 (0.062) Loss 3.1900 (3.3004) Prec@1 31.641 (30.657) Prec@5 57.812 (55.672)
Epoch: [6][920/5005] Time 0.206 (0.221) Data 0.043 (0.062) Loss 3.2183 (3.2996) Prec@1 28.906 (30.669) Prec@5 57.812 (55.681)
Epoch: [6][930/5005] Time 0.390 (0.222) Data 0.304 (0.062) Loss 3.4256 (3.2994) Prec@1 29.688 (30.679) Prec@5 55.859 (55.681)
Epoch: [6][940/5005] Time 0.253 (0.222) Data 0.172 (0.063) Loss 3.1536 (3.2995) Prec@1 30.469 (30.678) Prec@5 59.375 (55.679)
Epoch: [6][950/5005] Time 0.209 (0.223) Data 0.047 (0.065) Loss 3.3987 (3.3000) Prec@1 26.562 (30.663) Prec@5 54.688 (55.672)
Epoch: [6][960/5005] Time 0.207 (0.224) Data 0.043 (0.065) Loss 3.3503 (3.3000) Prec@1 33.594 (30.658) Prec@5 55.078 (55.663)
Epoch: [6][970/5005] Time 0.202 (0.224) Data 0.042 (0.065) Loss 3.0329 (3.2994) Prec@1 35.156 (30.664) Prec@5 59.375 (55.673)
Epoch: [6][980/5005] Time 0.208 (0.224) Data 0.057 (0.066) Loss 3.3108 (3.2989) Prec@1 32.812 (30.669) Prec@5 55.078 (55.680)
Epoch: [6][990/5005] Time 0.194 (0.224) Data 0.047 (0.066) Loss 3.3176 (3.2988) Prec@1 26.953 (30.667) Prec@5 54.297 (55.668)
Epoch: [6][1000/5005] Time 0.213 (0.224) Data 0.042 (0.066) Loss 3.2326 (3.2986) Prec@1 28.906 (30.671) Prec@5 56.250 (55.679)
Epoch: [6][1010/5005] Time 0.204 (0.224) Data 0.043 (0.065) Loss 3.2791 (3.2983) Prec@1 30.078 (30.679) Prec@5 57.422 (55.682)
Epoch: [6][1020/5005] Time 0.207 (0.223) Data 0.045 (0.065) Loss 3.1148 (3.2983) Prec@1 32.031 (30.671) Prec@5 58.594 (55.690)
Epoch: [6][1030/5005] Time 0.192 (0.223) Data 0.058 (0.065) Loss 3.4146 (3.2978) Prec@1 27.734 (30.673) Prec@5 57.031 (55.699)
Epoch: [6][1040/5005] Time 0.200 (0.223) Data 0.044 (0.065) Loss 3.5059 (3.2981) Prec@1 28.125 (30.668) Prec@5 48.828 (55.686)
Epoch: [6][1050/5005] Time 0.208 (0.223) Data 0.041 (0.065) Loss 3.4513 (3.2988) Prec@1 26.953 (30.647) Prec@5 53.516 (55.674)
Epoch: [6][1060/5005] Time 0.205 (0.223) Data 0.044 (0.065) Loss 3.4614 (3.2994) Prec@1 28.516 (30.637) Prec@5 53.125 (55.667)
Epoch: [6][1070/5005] Time 0.212 (0.223) Data 0.048 (0.065) Loss 3.2407 (3.2992) Prec@1 28.125 (30.633) Prec@5 57.031 (55.663)
Epoch: [6][1080/5005] Time 0.211 (0.223) Data 0.052 (0.064) Loss 3.2560 (3.2991) Prec@1 31.641 (30.640) Prec@5 57.031 (55.667)
Epoch: [6][1090/5005] Time 0.205 (0.222) Data 0.044 (0.064) Loss 3.0701 (3.2985) Prec@1 33.984 (30.647) Prec@5 61.719 (55.685)
Epoch: [6][1100/5005] Time 0.203 (0.222) Data 0.041 (0.064) Loss 3.0858 (3.2978) Prec@1 32.812 (30.657) Prec@5 58.203 (55.687)
Epoch: [6][1110/5005] Time 0.207 (0.222) Data 0.041 (0.064) Loss 3.3594 (3.2978) Prec@1 30.469 (30.655) Prec@5 53.516 (55.684)
Epoch: [6][1120/5005] Time 0.207 (0.222) Data 0.041 (0.064) Loss 3.2050 (3.2970) Prec@1 32.812 (30.662) Prec@5 55.078 (55.694)
Epoch: [6][1130/5005] Time 0.204 (0.222) Data 0.042 (0.064) Loss 3.2328 (3.2976) Prec@1 29.688 (30.658) Prec@5 56.250 (55.684)
Epoch: [6][1140/5005] Time 0.208 (0.222) Data 0.047 (0.063) Loss 3.3133 (3.2973) Prec@1 28.125 (30.656) Prec@5 55.859 (55.693)
Epoch: [6][1150/5005] Time 0.212 (0.222) Data 0.043 (0.063) Loss 3.1910 (3.2963) Prec@1 27.344 (30.662) Prec@5 53.125 (55.698)
Epoch: [6][1160/5005] Time 0.208 (0.222) Data 0.043 (0.063) Loss 3.2811 (3.2963) Prec@1 35.156 (30.673) Prec@5 57.422 (55.698)
Epoch: [6][1170/5005] Time 0.207 (0.222) Data 0.054 (0.063) Loss 3.1252 (3.2961) Prec@1 34.375 (30.675) Prec@5 58.203 (55.698)
Epoch: [6][1180/5005] Time 0.220 (0.221) Data 0.043 (0.063) Loss 3.3099 (3.2959) Prec@1 32.812 (30.676) Prec@5 57.422 (55.702)
Epoch: [6][1190/5005] Time 0.213 (0.221) Data 0.039 (0.063) Loss 3.0683 (3.2957) Prec@1 34.375 (30.678) Prec@5 57.422 (55.702)
Epoch: [6][1200/5005] Time 0.210 (0.221) Data 0.039 (0.063) Loss 3.3447 (3.2955) Prec@1 30.078 (30.681) Prec@5 52.344 (55.709)
Epoch: [6][1210/5005] Time 0.205 (0.221) Data 0.042 (0.063) Loss 3.3313 (3.2961) Prec@1 29.297 (30.662) Prec@5 57.812 (55.702)
Epoch: [6][1220/5005] Time 0.198 (0.221) Data 0.050 (0.063) Loss 3.3281 (3.2964) Prec@1 27.344 (30.651) Prec@5 54.688 (55.699)
Epoch: [6][1230/5005] Time 0.202 (0.222) Data 0.040 (0.062) Loss 3.3442 (3.2965) Prec@1 29.297 (30.645) Prec@5 54.688 (55.698)
Epoch: [6][1240/5005] Time 0.197 (0.222) Data 0.049 (0.062) Loss 3.2937 (3.2966) Prec@1 34.375 (30.643) Prec@5 55.469 (55.695)
Epoch: [6][1250/5005] Time 0.211 (0.222) Data 0.047 (0.062) Loss 3.5229 (3.2971) Prec@1 29.688 (30.638) Prec@5 48.047 (55.680)
Epoch: [6][1260/5005] Time 0.205 (0.221) Data 0.058 (0.062) Loss 3.1271 (3.2965) Prec@1 32.812 (30.646) Prec@5 54.688 (55.692)
Epoch: [6][1270/5005] Time 0.201 (0.222) Data 0.055 (0.062) Loss 3.3388 (3.2969) Prec@1 27.734 (30.643) Prec@5 56.641 (55.688)
Epoch: [6][1280/5005] Time 0.197 (0.221) Data 0.106 (0.063) Loss 3.2268 (3.2973) Prec@1 34.766 (30.646) Prec@5 57.422 (55.679)
Epoch: [6][1290/5005] Time 0.197 (0.221) Data 0.049 (0.063) Loss 3.0452 (3.2970) Prec@1 38.281 (30.656) Prec@5 59.766 (55.684)
Epoch: [6][1300/5005] Time 0.205 (0.222) Data 0.062 (0.063) Loss 3.2282 (3.2968) Prec@1 32.031 (30.657) Prec@5 55.469 (55.682)
Epoch: [6][1310/5005] Time 0.201 (0.221) Data 0.099 (0.063) Loss 3.2605 (3.2963) Prec@1 28.906 (30.658) Prec@5 60.156 (55.691)
Epoch: [6][1320/5005] Time 0.192 (0.222) Data 0.061 (0.064) Loss 3.2597 (3.2959) Prec@1 32.031 (30.670) Prec@5 53.125 (55.691)
Epoch: [6][1330/5005] Time 0.194 (0.222) Data 0.065 (0.063) Loss 3.4284 (3.2962) Prec@1 24.219 (30.657) Prec@5 54.688 (55.679)
Epoch: [6][1340/5005] Time 0.255 (0.222) Data 0.171 (0.064) Loss 3.1818 (3.2961) Prec@1 32.812 (30.654) Prec@5 58.594 (55.680)
Epoch: [6][1350/5005] Time 0.214 (0.222) Data 0.044 (0.064) Loss 3.5828 (3.2962) Prec@1 27.344 (30.648) Prec@5 55.078 (55.680)
Epoch: [6][1360/5005] Time 0.201 (0.222) Data 0.050 (0.064) Loss 3.0976 (3.2958) Prec@1 35.156 (30.650) Prec@5 58.203 (55.689)
Epoch: [6][1370/5005] Time 0.197 (0.222) Data 0.048 (0.064) Loss 3.3816 (3.2953) Prec@1 28.906 (30.657) Prec@5 54.297 (55.694)
Epoch: [6][1380/5005] Time 0.218 (0.222) Data 0.047 (0.064) Loss 3.2802 (3.2949) Prec@1 28.906 (30.656) Prec@5 55.469 (55.702)
Epoch: [6][1390/5005] Time 0.206 (0.222) Data 0.060 (0.064) Loss 3.2237 (3.2949) Prec@1 34.375 (30.657) Prec@5 54.688 (55.695)
Epoch: [6][1400/5005] Time 0.206 (0.222) Data 0.053 (0.064) Loss 3.3756 (3.2942) Prec@1 32.031 (30.661) Prec@5 53.516 (55.706)
Epoch: [6][1410/5005] Time 0.203 (0.222) Data 0.040 (0.064) Loss 3.2709 (3.2938) Prec@1 30.859 (30.661) Prec@5 55.859 (55.722)
Epoch: [6][1420/5005] Time 0.239 (0.222) Data 0.145 (0.064) Loss 3.3784 (3.2935) Prec@1 27.344 (30.667) Prec@5 55.469 (55.720)
Epoch: [6][1430/5005] Time 0.318 (0.222) Data 0.235 (0.065) Loss 3.0039 (3.2932) Prec@1 35.938 (30.679) Prec@5 61.719 (55.725)
Epoch: [6][1440/5005] Time 0.443 (0.222) Data 0.364 (0.065) Loss 3.1194 (3.2932) Prec@1 37.109 (30.676) Prec@5 60.547 (55.725)
Epoch: [6][1450/5005] Time 0.208 (0.222) Data 0.042 (0.065) Loss 3.1637 (3.2931) Prec@1 33.203 (30.676) Prec@5 58.594 (55.724)
Epoch: [6][1460/5005] Time 0.214 (0.222) Data 0.043 (0.065) Loss 3.3624 (3.2929) Prec@1 28.516 (30.682) Prec@5 51.953 (55.722)
Epoch: [6][1470/5005] Time 0.204 (0.222) Data 0.048 (0.065) Loss 3.2857 (3.2931) Prec@1 32.031 (30.687) Prec@5 58.984 (55.719)
Epoch: [6][1480/5005] Time 0.210 (0.222) Data 0.046 (0.065) Loss 3.0332 (3.2934) Prec@1 34.766 (30.685) Prec@5 61.328 (55.716)
Epoch: [6][1490/5005] Time 0.204 (0.222) Data 0.049 (0.065) Loss 3.4934 (3.2933) Prec@1 26.562 (30.685) Prec@5 56.250 (55.720)
Epoch: [6][1500/5005] Time 0.198 (0.222) Data 0.048 (0.065) Loss 3.3771 (3.2932) Prec@1 30.078 (30.691) Prec@5 53.125 (55.725)
Epoch: [6][1510/5005] Time 0.199 (0.222) Data 0.048 (0.065) Loss 3.1091 (3.2929) Prec@1 29.688 (30.694) Prec@5 59.375 (55.729)
Epoch: [6][1520/5005] Time 0.206 (0.222) Data 0.053 (0.065) Loss 3.3777 (3.2930) Prec@1 30.078 (30.697) Prec@5 52.734 (55.730)
Epoch: [6][1530/5005] Time 0.382 (0.222) Data 0.289 (0.066) Loss 3.5807 (3.2929) Prec@1 25.391 (30.700) Prec@5 51.562 (55.735)
Epoch: [6][1540/5005] Time 0.215 (0.222) Data 0.043 (0.066) Loss 3.3244 (3.2932) Prec@1 29.688 (30.698) Prec@5 53.516 (55.720)
Epoch: [6][1550/5005] Time 0.204 (0.222) Data 0.045 (0.066) Loss 3.1468 (3.2926) Prec@1 36.328 (30.710) Prec@5 62.109 (55.735)
Epoch: [6][1560/5005] Time 0.199 (0.222) Data 0.049 (0.066) Loss 3.2712 (3.2925) Prec@1 35.547 (30.711) Prec@5 53.516 (55.736)
Epoch: [6][1570/5005] Time 0.486 (0.222) Data 0.401 (0.066) Loss 3.3170 (3.2921) Prec@1 30.859 (30.718) Prec@5 55.469 (55.740)
Epoch: [6][1580/5005] Time 0.214 (0.222) Data 0.045 (0.066) Loss 3.2764 (3.2924) Prec@1 29.688 (30.708) Prec@5 57.031 (55.735)
Epoch: [6][1590/5005] Time 0.207 (0.222) Data 0.047 (0.066) Loss 3.2609 (3.2922) Prec@1 32.812 (30.704) Prec@5 56.250 (55.739)
Epoch: [6][1600/5005] Time 0.204 (0.222) Data 0.038 (0.066) Loss 3.3339 (3.2923) Prec@1 32.031 (30.704) Prec@5 51.562 (55.734)
Epoch: [6][1610/5005] Time 1.102 (0.223) Data 0.058 (0.066) Loss 3.3158 (3.2923) Prec@1 33.594 (30.708) Prec@5 55.469 (55.735)
Epoch: [6][1620/5005] Time 0.198 (0.223) Data 0.045 (0.066) Loss 3.5894 (3.2921) Prec@1 28.125 (30.714) Prec@5 51.172 (55.736)
Epoch: [6][1630/5005] Time 0.364 (0.223) Data 0.272 (0.066) Loss 3.1875 (3.2921) Prec@1 32.812 (30.719) Prec@5 56.641 (55.734)
Epoch: [6][1640/5005] Time 0.204 (0.223) Data 0.050 (0.066) Loss 3.1316 (3.2923) Prec@1 35.938 (30.720) Prec@5 61.719 (55.731)
Epoch: [6][1650/5005] Time 0.197 (0.223) Data 0.047 (0.066) Loss 3.2855 (3.2923) Prec@1 36.328 (30.729) Prec@5 55.078 (55.732)
Epoch: [6][1660/5005] Time 0.271 (0.223) Data 0.179 (0.066) Loss 3.2540 (3.2917) Prec@1 30.469 (30.747) Prec@5 57.422 (55.747)
Epoch: [6][1670/5005] Time 0.219 (0.223) Data 0.043 (0.066) Loss 3.0909 (3.2918) Prec@1 35.156 (30.747) Prec@5 58.984 (55.745)
Epoch: [6][1680/5005] Time 0.205 (0.223) Data 0.044 (0.067) Loss 3.4189 (3.2921) Prec@1 29.297 (30.742) Prec@5 54.297 (55.737)
Epoch: [6][1690/5005] Time 0.204 (0.223) Data 0.051 (0.066) Loss 3.2051 (3.2918) Prec@1 32.422 (30.743) Prec@5 56.641 (55.744)
Epoch: [6][1700/5005] Time 0.208 (0.223) Data 0.041 (0.067) Loss 3.1287 (3.2913) Prec@1 31.250 (30.748) Prec@5 56.250 (55.750)
Epoch: [6][1710/5005] Time 0.200 (0.222) Data 0.053 (0.067) Loss 3.1782 (3.2907) Prec@1 31.250 (30.751) Prec@5 57.422 (55.761)
Epoch: [6][1720/5005] Time 0.193 (0.222) Data 0.115 (0.067) Loss 3.3077 (3.2906) Prec@1 29.297 (30.749) Prec@5 57.422 (55.763)
Epoch: [6][1730/5005] Time 0.197 (0.222) Data 0.052 (0.067) Loss 3.2220 (3.2904) Prec@1 30.469 (30.748) Prec@5 55.859 (55.766)
Epoch: [6][1740/5005] Time 0.200 (0.223) Data 0.045 (0.067) Loss 3.4125 (3.2903) Prec@1 30.469 (30.748) Prec@5 53.906 (55.771)
Epoch: [6][1750/5005] Time 0.192 (0.223) Data 0.093 (0.067) Loss 3.2629 (3.2899) Prec@1 30.078 (30.757) Prec@5 53.906 (55.779)
Epoch: [6][1760/5005] Time 0.208 (0.223) Data 0.049 (0.067) Loss 2.9596 (3.2898) Prec@1 38.281 (30.763) Prec@5 64.453 (55.781)
Epoch: [6][1770/5005] Time 0.203 (0.223) Data 0.043 (0.068) Loss 3.2696 (3.2894) Prec@1 30.078 (30.766) Prec@5 57.422 (55.785)
Epoch: [6][1780/5005] Time 0.204 (0.223) Data 0.043 (0.068) Loss 3.2569 (3.2894) Prec@1 30.078 (30.764) Prec@5 55.469 (55.780)
Epoch: [6][1790/5005] Time 0.201 (0.223) Data 0.040 (0.068) Loss 3.1217 (3.2890) Prec@1 33.594 (30.765) Prec@5 60.547 (55.795)
Epoch: [6][1800/5005] Time 0.383 (0.223) Data 0.299 (0.068) Loss 3.2162 (3.2888) Prec@1 32.812 (30.764) Prec@5 56.250 (55.798)
Epoch: [6][1810/5005] Time 0.209 (0.223) Data 0.048 (0.068) Loss 3.2543 (3.2886) Prec@1 32.422 (30.769) Prec@5 57.031 (55.798)
Epoch: [6][1820/5005] Time 0.203 (0.223) Data 0.040 (0.068) Loss 3.4268 (3.2883) Prec@1 27.734 (30.775) Prec@5 51.172 (55.801)
Epoch: [6][1830/5005] Time 0.200 (0.223) Data 0.046 (0.068) Loss 3.0039 (3.2880) Prec@1 36.328 (30.779) Prec@5 61.328 (55.804)
Epoch: [6][1840/5005] Time 0.228 (0.223) Data 0.147 (0.068) Loss 3.4261 (3.2878) Prec@1 25.781 (30.780) Prec@5 52.344 (55.804)
Epoch: [6][1850/5005] Time 0.200 (0.223) Data 0.043 (0.068) Loss 3.3220 (3.2876) Prec@1 34.766 (30.791) Prec@5 56.250 (55.811)
Epoch: [6][1860/5005] Time 0.202 (0.223) Data 0.046 (0.068) Loss 3.2314 (3.2875) Prec@1 32.422 (30.793) Prec@5 55.078 (55.814)
Epoch: [6][1870/5005] Time 0.202 (0.223) Data 0.048 (0.068) Loss 3.4191 (3.2876) Prec@1 28.516 (30.790) Prec@5 53.516 (55.811)
Epoch: [6][1880/5005] Time 0.196 (0.223) Data 0.047 (0.068) Loss 3.2829 (3.2878) Prec@1 30.859 (30.793) Prec@5 54.688 (55.804)
Epoch: [6][1890/5005] Time 0.475 (0.223) Data 0.380 (0.068) Loss 3.4544 (3.2877) Prec@1 33.203 (30.801) Prec@5 52.734 (55.809)
Epoch: [6][1900/5005] Time 0.208 (0.223) Data 0.048 (0.069) Loss 3.1809 (3.2881) Prec@1 31.641 (30.794) Prec@5 57.422 (55.805)
Epoch: [6][1910/5005] Time 0.193 (0.223) Data 0.062 (0.069) Loss 3.2542 (3.2881) Prec@1 32.422 (30.795) Prec@5 55.859 (55.799)
Epoch: [6][1920/5005] Time 0.203 (0.223) Data 0.040 (0.069) Loss 3.2232 (3.2879) Prec@1 30.469 (30.800) Prec@5 55.469 (55.799)
Epoch: [6][1930/5005] Time 0.192 (0.223) Data 0.051 (0.069) Loss 3.0547 (3.2878) Prec@1 33.594 (30.798) Prec@5 57.422 (55.800)
Epoch: [6][1940/5005] Time 0.404 (0.223) Data 0.316 (0.069) Loss 2.9491 (3.2874) Prec@1 39.453 (30.804) Prec@5 62.891 (55.808)
Epoch: [6][1950/5005] Time 0.200 (0.223) Data 0.043 (0.069) Loss 3.2812 (3.2872) Prec@1 26.953 (30.805) Prec@5 55.078 (55.812)
Epoch: [6][1960/5005] Time 0.205 (0.223) Data 0.045 (0.069) Loss 3.1875 (3.2868) Prec@1 29.688 (30.810) Prec@5 56.250 (55.817)
Epoch: [6][1970/5005] Time 0.316 (0.223) Data 0.233 (0.069) Loss 3.2521 (3.2868) Prec@1 28.516 (30.810) Prec@5 54.297 (55.813)
Epoch: [6][1980/5005] Time 0.201 (0.223) Data 0.049 (0.069) Loss 3.0341 (3.2866) Prec@1 36.719 (30.816) Prec@5 60.547 (55.821)
Epoch: [6][1990/5005] Time 0.199 (0.223) Data 0.056 (0.069) Loss 3.1540 (3.2865) Prec@1 30.469 (30.816) Prec@5 57.812 (55.822)
Epoch: [6][2000/5005] Time 0.198 (0.223) Data 0.048 (0.069) Loss 3.0305 (3.2866) Prec@1 38.281 (30.817) Prec@5 59.375 (55.820)
Epoch: [6][2010/5005] Time 0.194 (0.223) Data 0.044 (0.069) Loss 3.1515 (3.2868) Prec@1 30.469 (30.812) Prec@5 55.078 (55.817)
Epoch: [6][2020/5005] Time 0.407 (0.223) Data 0.322 (0.069) Loss 3.2102 (3.2867) Prec@1 32.422 (30.818) Prec@5 54.688 (55.816)
Epoch: [6][2030/5005] Time 0.201 (0.223) Data 0.042 (0.069) Loss 3.2412 (3.2867) Prec@1 33.594 (30.823) Prec@5 57.031 (55.817)
Epoch: [6][2040/5005] Time 0.213 (0.223) Data 0.041 (0.070) Loss 2.9607 (3.2863) Prec@1 34.375 (30.827) Prec@5 59.375 (55.826)
Epoch: [6][2050/5005] Time 0.184 (0.223) Data 0.103 (0.069) Loss 3.3158 (3.2862) Prec@1 32.812 (30.830) Prec@5 57.422 (55.829)
Epoch: [6][2060/5005] Time 0.367 (0.223) Data 0.282 (0.070) Loss 3.1613 (3.2860) Prec@1 31.641 (30.826) Prec@5 53.516 (55.832)
Epoch: [6][2070/5005] Time 0.196 (0.223) Data 0.052 (0.070) Loss 3.4877 (3.2862) Prec@1 24.219 (30.822) Prec@5 53.125 (55.829)
Epoch: [6][2080/5005] Time 0.203 (0.223) Data 0.048 (0.070) Loss 3.4016 (3.2862) Prec@1 27.734 (30.823) Prec@5 52.734 (55.829)
Epoch: [6][2090/5005] Time 0.200 (0.223) Data 0.044 (0.070) Loss 3.1644 (3.2857) Prec@1 35.547 (30.832) Prec@5 58.203 (55.830)
Epoch: [6][2100/5005] Time 0.204 (0.223) Data 0.048 (0.070) Loss 3.4702 (3.2859) Prec@1 27.734 (30.833) Prec@5 54.297 (55.829)
Epoch: [6][2110/5005] Time 0.199 (0.223) Data 0.084 (0.070) Loss 3.0493 (3.2859) Prec@1 34.375 (30.835) Prec@5 58.594 (55.830)
Epoch: [6][2120/5005] Time 0.200 (0.223) Data 0.044 (0.070) Loss 3.4518 (3.2861) Prec@1 28.906 (30.842) Prec@5 51.953 (55.830)
Epoch: [6][2130/5005] Time 0.203 (0.223) Data 0.040 (0.070) Loss 3.2831 (3.2857) Prec@1 29.688 (30.847) Prec@5 55.078 (55.836)
Epoch: [6][2140/5005] Time 0.201 (0.223) Data 0.041 (0.070) Loss 3.2142 (3.2858) Prec@1 30.859 (30.844) Prec@5 59.375 (55.834)
Epoch: [6][2150/5005] Time 0.203 (0.223) Data 0.046 (0.070) Loss 3.1218 (3.2856) Prec@1 31.641 (30.848) Prec@5 58.594 (55.836)
Epoch: [6][2160/5005] Time 0.203 (0.223) Data 0.044 (0.070) Loss 3.0629 (3.2856) Prec@1 33.203 (30.846) Prec@5 62.109 (55.843)
Epoch: [6][2170/5005] Time 0.201 (0.223) Data 0.047 (0.070) Loss 3.3055 (3.2853) Prec@1 27.734 (30.845) Prec@5 58.984 (55.850)
Epoch: [6][2180/5005] Time 1.739 (0.224) Data 1.650 (0.071) Loss 3.3299 (3.2852) Prec@1 29.688 (30.840) Prec@5 54.297 (55.855)
Epoch: [6][2190/5005] Time 0.199 (0.224) Data 0.043 (0.071) Loss 3.4578 (3.2853) Prec@1 29.688 (30.839) Prec@5 51.172 (55.851)
Epoch: [6][2200/5005] Time 0.199 (0.224) Data 0.040 (0.071) Loss 3.4111 (3.2854) Prec@1 30.859 (30.838) Prec@5 54.688 (55.847)
Epoch: [6][2210/5005] Time 0.198 (0.224) Data 0.049 (0.071) Loss 3.4276 (3.2857) Prec@1 28.906 (30.836) Prec@5 51.562 (55.843)
Epoch: [6][2220/5005] Time 0.199 (0.224) Data 0.082 (0.071) Loss 3.3691 (3.2857) Prec@1 30.469 (30.840) Prec@5 52.344 (55.839)
Epoch: [6][2230/5005] Time 0.207 (0.223) Data 0.043 (0.071) Loss 3.2657 (3.2855) Prec@1 33.203 (30.841) Prec@5 58.203 (55.842)
Epoch: [6][2240/5005] Time 0.202 (0.223) Data 0.047 (0.071) Loss 3.1557 (3.2854) Prec@1 30.469 (30.842) Prec@5 62.891 (55.850)
Epoch: [6][2250/5005] Time 0.203 (0.223) Data 0.046 (0.071) Loss 3.1490 (3.2853) Prec@1 32.812 (30.847) Prec@5 59.766 (55.849)
Epoch: [6][2260/5005] Time 0.301 (0.223) Data 0.211 (0.071) Loss 3.1261 (3.2847) Prec@1 32.812 (30.852) Prec@5 55.469 (55.857)
Epoch: [6][2270/5005] Time 0.212 (0.223) Data 0.041 (0.071) Loss 3.3632 (3.2842) Prec@1 30.859 (30.857) Prec@5 51.953 (55.869)
Epoch: [6][2280/5005] Time 0.202 (0.223) Data 0.048 (0.071) Loss 3.2598 (3.2842) Prec@1 32.422 (30.859) Prec@5 58.203 (55.872)
Epoch: [6][2290/5005] Time 0.214 (0.223) Data 0.042 (0.071) Loss 3.1442 (3.2841) Prec@1 30.078 (30.859) Prec@5 57.812 (55.871)
Epoch: [6][2300/5005] Time 0.212 (0.223) Data 0.046 (0.071) Loss 3.1428 (3.2840) Prec@1 33.984 (30.858) Prec@5 56.250 (55.872)
Epoch: [6][2310/5005] Time 0.208 (0.223) Data 0.048 (0.071) Loss 3.2310 (3.2837) Prec@1 34.375 (30.865) Prec@5 55.078 (55.875)
Epoch: [6][2320/5005] Time 0.203 (0.223) Data 0.067 (0.071) Loss 3.3493 (3.2837) Prec@1 28.516 (30.867) Prec@5 54.688 (55.878)
Epoch: [6][2330/5005] Time 0.215 (0.223) Data 0.043 (0.071) Loss 3.3382 (3.2835) Prec@1 31.250 (30.875) Prec@5 55.078 (55.881)
Epoch: [6][2340/5005] Time 0.203 (0.223) Data 0.044 (0.071) Loss 3.2226 (3.2832) Prec@1 30.078 (30.878) Prec@5 55.078 (55.883)
Epoch: [6][2350/5005] Time 0.200 (0.223) Data 0.089 (0.071) Loss 3.2096 (3.2830) Prec@1 29.688 (30.881) Prec@5 56.641 (55.889)
Epoch: [6][2360/5005] Time 0.195 (0.223) Data 0.044 (0.071) Loss 3.1461 (3.2829) Prec@1 34.375 (30.885) Prec@5 58.594 (55.888)
Epoch: [6][2370/5005] Time 0.210 (0.223) Data 0.044 (0.071) Loss 3.3000 (3.2829) Prec@1 29.688 (30.883) Prec@5 54.297 (55.890)
Epoch: [6][2380/5005] Time 0.197 (0.224) Data 0.087 (0.072) Loss 3.2979 (3.2827) Prec@1 31.250 (30.886) Prec@5 54.297 (55.895)
Epoch: [6][2390/5005] Time 0.193 (0.223) Data 0.054 (0.072) Loss 3.2580 (3.2825) Prec@1 30.859 (30.889) Prec@5 55.859 (55.899)
Epoch: [6][2400/5005] Time 0.198 (0.223) Data 0.052 (0.072) Loss 3.1915 (3.2824) Prec@1 30.469 (30.886) Prec@5 60.156 (55.901)
Epoch: [6][2410/5005] Time 0.214 (0.223) Data 0.051 (0.072) Loss 3.3984 (3.2825) Prec@1 28.125 (30.890) Prec@5 51.953 (55.897)
Epoch: [6][2420/5005] Time 0.203 (0.223) Data 0.044 (0.072) Loss 3.1941 (3.2823) Prec@1 30.859 (30.894) Prec@5 64.062 (55.905)
Epoch: [6][2430/5005] Time 0.200 (0.223) Data 0.044 (0.072) Loss 3.1142 (3.2823) Prec@1 38.672 (30.895) Prec@5 59.766 (55.902)
Epoch: [6][2440/5005] Time 0.520 (0.223) Data 0.430 (0.072) Loss 2.9295 (3.2822) Prec@1 35.547 (30.898) Prec@5 57.031 (55.901)
Epoch: [6][2450/5005] Time 0.198 (0.223) Data 0.043 (0.072) Loss 3.2935 (3.2822) Prec@1 28.906 (30.896) Prec@5 55.469 (55.906)
Epoch: [6][2460/5005] Time 0.201 (0.223) Data 0.040 (0.072) Loss 3.2653 (3.2821) Prec@1 29.688 (30.898) Prec@5 56.641 (55.906)
Epoch: [6][2470/5005] Time 0.207 (0.224) Data 0.040 (0.072) Loss 3.2096 (3.2820) Prec@1 32.812 (30.902) Prec@5 54.297 (55.904)
Epoch: [6][2480/5005] Time 0.195 (0.224) Data 0.042 (0.072) Loss 3.4443 (3.2821) Prec@1 33.594 (30.904) Prec@5 52.344 (55.907)
Epoch: [6][2490/5005] Time 0.209 (0.224) Data 0.046 (0.072) Loss 3.0896 (3.2820) Prec@1 33.203 (30.902) Prec@5 58.594 (55.906)
Epoch: [6][2500/5005] Time 0.216 (0.223) Data 0.050 (0.072) Loss 3.3212 (3.2819) Prec@1 32.031 (30.906) Prec@5 51.953 (55.907)
Epoch: [6][2510/5005] Time 0.203 (0.223) Data 0.049 (0.072) Loss 3.3152 (3.2819) Prec@1 29.297 (30.904) Prec@5 53.906 (55.906)
Epoch: [6][2520/5005] Time 0.198 (0.223) Data 0.046 (0.072) Loss 3.0162 (3.2816) Prec@1 35.547 (30.912) Prec@5 62.109 (55.911)
Epoch: [6][2530/5005] Time 0.412 (0.223) Data 0.331 (0.072) Loss 3.3919 (3.2814) Prec@1 32.812 (30.917) Prec@5 53.516 (55.915)
Epoch: [6][2540/5005] Time 0.202 (0.223) Data 0.039 (0.072) Loss 3.2980 (3.2814) Prec@1 31.250 (30.922) Prec@5 55.859 (55.917)
Epoch: [6][2550/5005] Time 0.186 (0.223) Data 0.047 (0.072) Loss 3.3439 (3.2814) Prec@1 25.781 (30.921) Prec@5 53.125 (55.913)
Epoch: [6][2560/5005] Time 0.199 (0.223) Data 0.044 (0.072) Loss 3.3756 (3.2814) Prec@1 28.125 (30.919) Prec@5 55.078 (55.916)
Epoch: [6][2570/5005] Time 0.190 (0.223) Data 0.042 (0.072) Loss 3.1684 (3.2815) Prec@1 35.156 (30.919) Prec@5 57.812 (55.912)
Epoch: [6][2580/5005] Time 0.203 (0.223) Data 0.041 (0.072) Loss 3.2570 (3.2820) Prec@1 29.688 (30.912) Prec@5 57.031 (55.906)
Epoch: [6][2590/5005] Time 0.206 (0.223) Data 0.052 (0.072) Loss 3.3309 (3.2818) Prec@1 32.812 (30.918) Prec@5 55.078 (55.909)
Epoch: [6][2600/5005] Time 0.205 (0.223) Data 0.039 (0.072) Loss 3.2598 (3.2817) Prec@1 32.422 (30.916) Prec@5 52.734 (55.906)
Epoch: [6][2610/5005] Time 0.205 (0.223) Data 0.046 (0.072) Loss 3.4280 (3.2816) Prec@1 30.859 (30.917) Prec@5 54.688 (55.905)
Epoch: [6][2620/5005] Time 0.202 (0.223) Data 0.094 (0.072) Loss 3.4036 (3.2816) Prec@1 30.469 (30.918) Prec@5 53.516 (55.905)
Epoch: [6][2630/5005] Time 0.195 (0.223) Data 0.058 (0.072) Loss 3.4984 (3.2819) Prec@1 28.516 (30.917) Prec@5 52.734 (55.898)
Epoch: [6][2640/5005] Time 0.257 (0.223) Data 0.179 (0.072) Loss 3.3214 (3.2818) Prec@1 28.516 (30.917) Prec@5 53.516 (55.901)
Epoch: [6][2650/5005] Time 0.199 (0.224) Data 0.054 (0.073) Loss 3.4081 (3.2819) Prec@1 30.078 (30.920) Prec@5 52.734 (55.901)
Epoch: [6][2660/5005] Time 0.200 (0.224) Data 0.045 (0.073) Loss 3.3679 (3.2818) Prec@1 25.391 (30.922) Prec@5 54.688 (55.900)
Epoch: [6][2670/5005] Time 0.196 (0.223) Data 0.083 (0.073) Loss 2.8436 (3.2815) Prec@1 35.938 (30.931) Prec@5 61.328 (55.904)
Epoch: [6][2680/5005] Time 0.204 (0.224) Data 0.049 (0.073) Loss 3.2236 (3.2815) Prec@1 35.156 (30.929) Prec@5 58.203 (55.900)
Epoch: [6][2690/5005] Time 0.198 (0.224) Data 0.064 (0.073) Loss 3.0003 (3.2813) Prec@1 37.109 (30.935) Prec@5 63.281 (55.905)
Epoch: [6][2700/5005] Time 0.201 (0.224) Data 0.041 (0.073) Loss 3.2237 (3.2812) Prec@1 30.859 (30.934) Prec@5 57.812 (55.907)
Epoch: [6][2710/5005] Time 0.199 (0.224) Data 0.048 (0.073) Loss 3.0322 (3.2812) Prec@1 36.719 (30.931) Prec@5 58.203 (55.905)
Epoch: [6][2720/5005] Time 0.204 (0.224) Data 0.055 (0.073) Loss 3.1925 (3.2812) Prec@1 33.203 (30.929) Prec@5 57.812 (55.904)
Epoch: [6][2730/5005] Time 0.203 (0.223) Data 0.049 (0.073) Loss 3.2975 (3.2812) Prec@1 29.297 (30.926) Prec@5 54.297 (55.905)
Epoch: [6][2740/5005] Time 0.202 (0.223) Data 0.048 (0.073) Loss 3.0167 (3.2810) Prec@1 32.031 (30.930) Prec@5 61.719 (55.911)
Epoch: [6][2750/5005] Time 0.199 (0.223) Data 0.108 (0.073) Loss 3.1462 (3.2807) Prec@1 32.422 (30.935) Prec@5 55.078 (55.914)
Epoch: [6][2760/5005] Time 0.198 (0.224) Data 0.043 (0.073) Loss 3.3721 (3.2806) Prec@1 29.688 (30.935) Prec@5 53.125 (55.918)
Epoch: [6][2770/5005] Time 0.211 (0.224) Data 0.045 (0.073) Loss 3.0818 (3.2805) Prec@1 33.203 (30.935) Prec@5 60.156 (55.923)
Epoch: [6][2780/5005] Time 0.206 (0.224) Data 0.042 (0.073) Loss 3.3872 (3.2804) Prec@1 27.344 (30.936) Prec@5 54.297 (55.926)
Epoch: [6][2790/5005] Time 0.198 (0.224) Data 0.048 (0.073) Loss 3.5170 (3.2803) Prec@1 26.172 (30.937) Prec@5 53.125 (55.929)
Epoch: [6][2800/5005] Time 0.204 (0.224) Data 0.043 (0.073) Loss 3.1457 (3.2802) Prec@1 34.375 (30.944) Prec@5 58.984 (55.931)
Epoch: [6][2810/5005] Time 0.197 (0.224) Data 0.047 (0.073) Loss 3.4589 (3.2800) Prec@1 29.688 (30.945) Prec@5 53.906 (55.935)
Epoch: [6][2820/5005] Time 0.213 (0.224) Data 0.047 (0.073) Loss 2.9133 (3.2797) Prec@1 33.203 (30.948) Prec@5 62.500 (55.937)
Epoch: [6][2830/5005] Time 0.204 (0.224) Data 0.039 (0.073) Loss 3.5325 (3.2800) Prec@1 24.219 (30.945) Prec@5 49.219 (55.931)
Epoch: [6][2840/5005] Time 0.198 (0.224) Data 0.051 (0.073) Loss 3.2871 (3.2799) Prec@1 30.469 (30.944) Prec@5 56.641 (55.932)
Epoch: [6][2850/5005] Time 0.224 (0.224) Data 0.141 (0.073) Loss 3.2937 (3.2797) Prec@1 32.812 (30.951) Prec@5 53.516 (55.933)
Epoch: [6][2860/5005] Time 0.192 (0.224) Data 0.048 (0.073) Loss 3.2039 (3.2798) Prec@1 32.031 (30.950) Prec@5 57.812 (55.930)
Epoch: [6][2870/5005] Time 0.201 (0.224) Data 0.048 (0.073) Loss 3.2629 (3.2794) Prec@1 30.859 (30.959) Prec@5 56.641 (55.938)
Epoch: [6][2880/5005] Time 0.200 (0.224) Data 0.060 (0.074) Loss 3.2298 (3.2793) Prec@1 26.953 (30.959) Prec@5 55.859 (55.940)
Epoch: [6][2890/5005] Time 0.194 (0.224) Data 0.054 (0.074) Loss 3.3838 (3.2793) Prec@1 29.297 (30.958) Prec@5 51.172 (55.940)
Epoch: [6][2900/5005] Time 0.199 (0.224) Data 0.043 (0.074) Loss 3.1225 (3.2790) Prec@1 32.812 (30.966) Prec@5 59.766 (55.946)
Epoch: [6][2910/5005] Time 0.199 (0.224) Data 0.060 (0.074) Loss 3.2749 (3.2791) Prec@1 27.734 (30.967) Prec@5 54.297 (55.946)
Epoch: [6][2920/5005] Time 0.202 (0.224) Data 0.064 (0.074) Loss 3.3881 (3.2793) Prec@1 29.688 (30.967) Prec@5 51.953 (55.944)
Epoch: [6][2930/5005] Time 0.207 (0.224) Data 0.041 (0.074) Loss 3.2896 (3.2791) Prec@1 27.734 (30.972) Prec@5 54.297 (55.945)
Epoch: [6][2940/5005] Time 0.199 (0.224) Data 0.042 (0.074) Loss 3.3445 (3.2791) Prec@1 30.078 (30.970) Prec@5 52.734 (55.944)
Epoch: [6][2950/5005] Time 0.201 (0.224) Data 0.049 (0.074) Loss 3.3730 (3.2789) Prec@1 26.953 (30.970) Prec@5 52.344 (55.946)
Epoch: [6][2960/5005] Time 0.201 (0.224) Data 0.106 (0.074) Loss 3.3048 (3.2787) Prec@1 29.297 (30.972) Prec@5 57.422 (55.948)
Epoch: [6][2970/5005] Time 0.196 (0.224) Data 0.047 (0.074) Loss 3.2640 (3.2786) Prec@1 25.000 (30.967) Prec@5 58.594 (55.952)
Epoch: [6][2980/5005] Time 0.247 (0.224) Data 0.162 (0.074) Loss 3.3431 (3.2787) Prec@1 28.125 (30.965) Prec@5 56.641 (55.950)
Epoch: [6][2990/5005] Time 0.199 (0.224) Data 0.046 (0.074) Loss 3.1190 (3.2787) Prec@1 33.984 (30.965) Prec@5 58.203 (55.949)
Epoch: [6][3000/5005] Time 0.198 (0.224) Data 0.046 (0.074) Loss 3.2083 (3.2784) Prec@1 33.984 (30.969) Prec@5 55.859 (55.954)
Epoch: [6][3010/5005] Time 0.198 (0.224) Data 0.083 (0.074) Loss 3.0860 (3.2784) Prec@1 32.031 (30.968) Prec@5 59.375 (55.951)
Epoch: [6][3020/5005] Time 0.205 (0.224) Data 0.038 (0.074) Loss 3.1188 (3.2785) Prec@1 33.203 (30.969) Prec@5 58.203 (55.955)
Epoch: [6][3030/5005] Time 0.209 (0.224) Data 0.048 (0.074) Loss 3.1682 (3.2785) Prec@1 34.766 (30.970) Prec@5 60.547 (55.957)
Epoch: [6][3040/5005] Time 0.199 (0.224) Data 0.049 (0.074) Loss 3.1480 (3.2783) Prec@1 34.375 (30.977) Prec@5 57.031 (55.958)
Epoch: [6][3050/5005] Time 0.198 (0.224) Data 0.050 (0.074) Loss 3.1429 (3.2783) Prec@1 29.688 (30.973) Prec@5 57.422 (55.958)
Epoch: [6][3060/5005] Time 0.452 (0.224) Data 0.370 (0.074) Loss 3.1812 (3.2780) Prec@1 35.938 (30.975) Prec@5 59.375 (55.959)
Epoch: [6][3070/5005] Time 0.205 (0.224) Data 0.048 (0.074) Loss 3.2644 (3.2781) Prec@1 31.250 (30.973) Prec@5 54.688 (55.957)
Epoch: [6][3080/5005] Time 0.202 (0.224) Data 0.047 (0.074) Loss 3.1373 (3.2781) Prec@1 31.250 (30.967) Prec@5 58.984 (55.956)
Epoch: [6][3090/5005] Time 0.198 (0.224) Data 0.047 (0.074) Loss 3.7262 (3.2781) Prec@1 21.484 (30.964) Prec@5 48.047 (55.958)
Epoch: [6][3100/5005] Time 0.200 (0.224) Data 0.044 (0.074) Loss 3.1442 (3.2780) Prec@1 33.594 (30.964) Prec@5 59.375 (55.961)
Epoch: [6][3110/5005] Time 0.213 (0.224) Data 0.082 (0.074) Loss 3.1656 (3.2779) Prec@1 33.203 (30.965) Prec@5 57.812 (55.963)
Epoch: [6][3120/5005] Time 0.200 (0.224) Data 0.047 (0.074) Loss 3.3091 (3.2778) Prec@1 28.516 (30.966) Prec@5 51.562 (55.961)
Epoch: [6][3130/5005] Time 0.196 (0.224) Data 0.060 (0.074) Loss 3.4607 (3.2778) Prec@1 30.469 (30.970) Prec@5 53.125 (55.964)
Epoch: [6][3140/5005] Time 0.241 (0.224) Data 0.162 (0.074) Loss 3.0889 (3.2775) Prec@1 35.547 (30.978) Prec@5 57.812 (55.970)
Epoch: [6][3150/5005] Time 0.201 (0.224) Data 0.079 (0.074) Loss 3.1745 (3.2773) Prec@1 33.594 (30.985) Prec@5 56.641 (55.973)
Epoch: [6][3160/5005] Time 0.195 (0.224) Data 0.058 (0.074) Loss 3.2034 (3.2773) Prec@1 33.984 (30.990) Prec@5 57.031 (55.978)
Epoch: [6][3170/5005] Time 0.210 (0.224) Data 0.040 (0.074) Loss 3.4078 (3.2773) Prec@1 30.469 (30.989) Prec@5 54.297 (55.979)
Epoch: [6][3180/5005] Time 0.200 (0.224) Data 0.107 (0.074) Loss 3.1272 (3.2772) Prec@1 35.156 (30.990) Prec@5 57.031 (55.979)
Epoch: [6][3190/5005] Time 0.288 (0.224) Data 0.212 (0.074) Loss 3.2605 (3.2772) Prec@1 28.906 (30.986) Prec@5 55.859 (55.978)
Epoch: [6][3200/5005] Time 0.209 (0.224) Data 0.041 (0.074) Loss 3.2598 (3.2772) Prec@1 32.812 (30.986) Prec@5 58.984 (55.981)
Epoch: [6][3210/5005] Time 0.201 (0.224) Data 0.042 (0.074) Loss 3.3397 (3.2771) Prec@1 29.688 (30.987) Prec@5 55.859 (55.983)
Epoch: [6][3220/5005] Time 0.511 (0.224) Data 0.427 (0.074) Loss 3.3179 (3.2771) Prec@1 32.812 (30.992) Prec@5 53.906 (55.981)
Epoch: [6][3230/5005] Time 0.208 (0.224) Data 0.082 (0.074) Loss 3.1559 (3.2769) Prec@1 31.250 (30.991) Prec@5 56.250 (55.986)
Epoch: [6][3240/5005] Time 0.202 (0.224) Data 0.041 (0.074) Loss 3.6545 (3.2773) Prec@1 22.266 (30.985) Prec@5 46.094 (55.977)
Epoch: [6][3250/5005] Time 0.200 (0.224) Data 0.045 (0.074) Loss 3.2551 (3.2774) Prec@1 30.859 (30.981) Prec@5 57.422 (55.976)
Epoch: [6][3260/5005] Time 0.198 (0.224) Data 0.044 (0.075) Loss 3.2500 (3.2775) Prec@1 31.641 (30.979) Prec@5 55.469 (55.972)
Epoch: [6][3270/5005] Time 0.197 (0.224) Data 0.047 (0.074) Loss 3.4215 (3.2774) Prec@1 30.469 (30.981) Prec@5 53.516 (55.980)
Epoch: [6][3280/5005] Time 0.202 (0.224) Data 0.049 (0.075) Loss 3.0298 (3.2774) Prec@1 36.328 (30.980) Prec@5 58.984 (55.979)
Epoch: [6][3290/5005] Time 0.202 (0.224) Data 0.046 (0.075) Loss 3.3101 (3.2772) Prec@1 26.953 (30.982) Prec@5 57.031 (55.982)
Epoch: [6][3300/5005] Time 0.205 (0.224) Data 0.045 (0.074) Loss 3.1645 (3.2772) Prec@1 32.422 (30.982) Prec@5 59.375 (55.980)
Epoch: [6][3310/5005] Time 0.194 (0.224) Data 0.049 (0.075) Loss 3.1636 (3.2770) Prec@1 35.547 (30.983) Prec@5 56.641 (55.983)
Epoch: [6][3320/5005] Time 0.198 (0.224) Data 0.085 (0.075) Loss 3.2558 (3.2769) Prec@1 31.641 (30.982) Prec@5 54.688 (55.983)
Epoch: [6][3330/5005] Time 0.210 (0.224) Data 0.046 (0.075) Loss 3.3036 (3.2768) Prec@1 28.125 (30.985) Prec@5 52.344 (55.985)
Epoch: [6][3340/5005] Time 0.197 (0.224) Data 0.054 (0.075) Loss 3.2816 (3.2767) Prec@1 30.469 (30.984) Prec@5 55.859 (55.984)
Epoch: [6][3350/5005] Time 0.202 (0.224) Data 0.043 (0.075) Loss 3.4719 (3.2767) Prec@1 25.000 (30.984) Prec@5 53.516 (55.982)
Epoch: [6][3360/5005] Time 0.207 (0.224) Data 0.041 (0.075) Loss 3.1484 (3.2766) Prec@1 35.938 (30.986) Prec@5 59.375 (55.986)
Epoch: [6][3370/5005] Time 0.201 (0.224) Data 0.048 (0.075) Loss 3.3143 (3.2766) Prec@1 30.469 (30.988) Prec@5 55.859 (55.983)
Epoch: [6][3380/5005] Time 0.199 (0.224) Data 0.045 (0.075) Loss 3.0973 (3.2765) Prec@1 32.031 (30.987) Prec@5 58.203 (55.984)
Epoch: [6][3390/5005] Time 0.213 (0.224) Data 0.047 (0.075) Loss 3.1941 (3.2767) Prec@1 31.641 (30.980) Prec@5 57.031 (55.978)
Epoch: [6][3400/5005] Time 0.208 (0.224) Data 0.045 (0.075) Loss 3.2459 (3.2768) Prec@1 32.812 (30.977) Prec@5 57.422 (55.976)
Epoch: [6][3410/5005] Time 0.298 (0.224) Data 0.212 (0.075) Loss 3.2536 (3.2767) Prec@1 29.688 (30.976) Prec@5 54.297 (55.980)
Epoch: [6][3420/5005] Time 0.260 (0.224) Data 0.175 (0.075) Loss 3.2086 (3.2767) Prec@1 34.766 (30.975) Prec@5 57.031 (55.980)
Epoch: [6][3430/5005] Time 0.209 (0.224) Data 0.043 (0.075) Loss 3.1083 (3.2766) Prec@1 32.031 (30.976) Prec@5 58.984 (55.983)
Epoch: [6][3440/5005] Time 0.204 (0.224) Data 0.040 (0.075) Loss 3.3192 (3.2765) Prec@1 30.859 (30.976) Prec@5 52.734 (55.982)
Epoch: [6][3450/5005] Time 0.236 (0.224) Data 0.150 (0.075) Loss 3.0757 (3.2764) Prec@1 33.984 (30.978) Prec@5 59.766 (55.983)
Epoch: [6][3460/5005] Time 0.209 (0.224) Data 0.046 (0.075) Loss 3.2398 (3.2765) Prec@1 32.031 (30.976) Prec@5 57.422 (55.979)
Epoch: [6][3470/5005] Time 0.199 (0.224) Data 0.049 (0.075) Loss 3.1680 (3.2763) Prec@1 33.594 (30.979) Prec@5 57.031 (55.983)
Epoch: [6][3480/5005] Time 0.207 (0.224) Data 0.103 (0.075) Loss 3.2119 (3.2760) Prec@1 35.156 (30.985) Prec@5 56.641 (55.987)
Epoch: [6][3490/5005] Time 0.205 (0.224) Data 0.043 (0.075) Loss 3.3131 (3.2759) Prec@1 25.000 (30.988) Prec@5 57.422 (55.988)
Epoch: [6][3500/5005] Time 0.193 (0.224) Data 0.049 (0.075) Loss 3.0927 (3.2759) Prec@1 32.812 (30.989) Prec@5 62.109 (55.987)
Epoch: [6][3510/5005] Time 0.200 (0.224) Data 0.043 (0.075) Loss 3.2243 (3.2758) Prec@1 27.344 (30.988) Prec@5 55.859 (55.989)
Epoch: [6][3520/5005] Time 0.203 (0.224) Data 0.047 (0.075) Loss 3.5104 (3.2758) Prec@1 29.688 (30.991) Prec@5 54.297 (55.988)
Epoch: [6][3530/5005] Time 0.195 (0.224) Data 0.050 (0.075) Loss 3.2036 (3.2756) Prec@1 30.859 (30.996) Prec@5 57.031 (55.994)
Epoch: [6][3540/5005] Time 0.199 (0.224) Data 0.065 (0.075) Loss 3.2429 (3.2754) Prec@1 31.641 (31.001) Prec@5 57.031 (55.997)
Epoch: [6][3550/5005] Time 0.201 (0.224) Data 0.060 (0.075) Loss 3.1429 (3.2751) Prec@1 32.422 (31.005) Prec@5 57.422 (56.002)
Epoch: [6][3560/5005] Time 0.198 (0.224) Data 0.049 (0.075) Loss 3.4704 (3.2750) Prec@1 29.297 (31.009) Prec@5 52.344 (56.007)
Epoch: [6][3570/5005] Time 0.198 (0.224) Data 0.040 (0.075) Loss 3.2661 (3.2749) Prec@1 32.812 (31.010) Prec@5 57.031 (56.010)
Epoch: [6][3580/5005] Time 0.205 (0.224) Data 0.042 (0.075) Loss 3.1654 (3.2749) Prec@1 33.984 (31.007) Prec@5 56.250 (56.008)
Epoch: [6][3590/5005] Time 0.354 (0.224) Data 0.265 (0.075) Loss 3.4388 (3.2746) Prec@1 24.219 (31.012) Prec@5 49.219 (56.014)
Epoch: [6][3600/5005] Time 0.201 (0.224) Data 0.041 (0.075) Loss 3.4189 (3.2743) Prec@1 30.078 (31.014) Prec@5 54.688 (56.015)
Epoch: [6][3610/5005] Time 0.343 (0.224) Data 0.265 (0.075) Loss 3.3360 (3.2744) Prec@1 30.859 (31.014) Prec@5 52.344 (56.013)
Epoch: [6][3620/5005] Time 0.199 (0.224) Data 0.044 (0.075) Loss 3.4791 (3.2742) Prec@1 26.172 (31.020) Prec@5 52.734 (56.016)
Epoch: [6][3630/5005] Time 0.208 (0.224) Data 0.049 (0.075) Loss 3.5512 (3.2742) Prec@1 27.734 (31.021) Prec@5 50.781 (56.016)
Epoch: [6][3640/5005] Time 0.205 (0.224) Data 0.044 (0.075) Loss 3.1925 (3.2741) Prec@1 27.734 (31.021) Prec@5 54.297 (56.016)
Epoch: [6][3650/5005] Time 0.200 (0.224) Data 0.117 (0.075) Loss 3.2185 (3.2742) Prec@1 28.516 (31.017) Prec@5 55.469 (56.014)
Epoch: [6][3660/5005] Time 0.204 (0.224) Data 0.046 (0.075) Loss 3.3405 (3.2741) Prec@1 26.953 (31.015) Prec@5 57.422 (56.018)
Epoch: [6][3670/5005] Time 0.195 (0.224) Data 0.048 (0.075) Loss 3.2568 (3.2742) Prec@1 32.812 (31.015) Prec@5 55.859 (56.017)
Epoch: [6][3680/5005] Time 0.398 (0.224) Data 0.313 (0.075) Loss 3.1837 (3.2743) Prec@1 31.641 (31.014) Prec@5 59.375 (56.014)
Epoch: [6][3690/5005] Time 0.189 (0.224) Data 0.060 (0.075) Loss 3.1480 (3.2742) Prec@1 31.641 (31.018) Prec@5 58.203 (56.015)
Epoch: [6][3700/5005] Time 0.197 (0.224) Data 0.050 (0.075) Loss 3.2433 (3.2743) Prec@1 31.641 (31.016) Prec@5 58.203 (56.013)
Epoch: [6][3710/5005] Time 0.194 (0.224) Data 0.045 (0.075) Loss 3.0637 (3.2744) Prec@1 33.594 (31.017) Prec@5 60.938 (56.012)
Epoch: [6][3720/5005] Time 0.200 (0.224) Data 0.049 (0.075) Loss 3.4476 (3.2742) Prec@1 28.906 (31.020) Prec@5 56.250 (56.013)
Epoch: [6][3730/5005] Time 0.202 (0.224) Data 0.047 (0.075) Loss 3.1605 (3.2741) Prec@1 32.812 (31.021) Prec@5 57.422 (56.017)
Epoch: [6][3740/5005] Time 0.367 (0.224) Data 0.286 (0.076) Loss 3.3109 (3.2737) Prec@1 30.469 (31.024) Prec@5 56.641 (56.024)
Epoch: [6][3750/5005] Time 0.199 (0.224) Data 0.094 (0.076) Loss 3.1773 (3.2738) Prec@1 32.422 (31.024) Prec@5 58.984 (56.023)
Epoch: [6][3760/5005] Time 0.217 (0.224) Data 0.125 (0.076) Loss 3.3772 (3.2740) Prec@1 30.859 (31.021) Prec@5 57.422 (56.018)
Epoch: [6][3770/5005] Time 0.200 (0.224) Data 0.094 (0.076) Loss 3.5145 (3.2739) Prec@1 29.297 (31.020) Prec@5 53.516 (56.019)
Epoch: [6][3780/5005] Time 0.589 (0.224) Data 0.500 (0.076) Loss 3.3366 (3.2739) Prec@1 28.125 (31.020) Prec@5 54.688 (56.019)
Epoch: [6][3790/5005] Time 0.202 (0.224) Data 0.046 (0.076) Loss 3.4078 (3.2740) Prec@1 27.344 (31.019) Prec@5 53.906 (56.018)
Epoch: [6][3800/5005] Time 0.207 (0.224) Data 0.048 (0.076) Loss 3.0702 (3.2741) Prec@1 35.547 (31.019) Prec@5 62.500 (56.014)
Epoch: [6][3810/5005] Time 0.193 (0.224) Data 0.063 (0.076) Loss 3.2889 (3.2742) Prec@1 33.203 (31.019) Prec@5 55.859 (56.013)
Epoch: [6][3820/5005] Time 0.197 (0.224) Data 0.041 (0.076) Loss 3.2150 (3.2741) Prec@1 33.594 (31.021) Prec@5 56.641 (56.018)
Epoch: [6][3830/5005] Time 0.215 (0.224) Data 0.041 (0.076) Loss 3.3443 (3.2738) Prec@1 27.734 (31.026) Prec@5 53.125 (56.022)
Epoch: [6][3840/5005] Time 0.200 (0.224) Data 0.051 (0.076) Loss 3.4612 (3.2738) Prec@1 28.906 (31.025) Prec@5 52.734 (56.021)
Epoch: [6][3850/5005] Time 0.205 (0.224) Data 0.039 (0.076) Loss 3.3053 (3.2739) Prec@1 31.641 (31.024) Prec@5 56.250 (56.022)
Epoch: [6][3860/5005] Time 0.469 (0.224) Data 0.387 (0.076) Loss 2.9394 (3.2739) Prec@1 38.672 (31.024) Prec@5 61.328 (56.022)
Epoch: [6][3870/5005] Time 0.193 (0.224) Data 0.048 (0.076) Loss 3.2574 (3.2740) Prec@1 30.078 (31.020) Prec@5 54.688 (56.018)
Epoch: [6][3880/5005] Time 0.209 (0.224) Data 0.042 (0.076) Loss 3.2108 (3.2741) Prec@1 29.688 (31.017) Prec@5 56.250 (56.017)
Epoch: [6][3890/5005] Time 0.200 (0.224) Data 0.049 (0.076) Loss 3.4482 (3.2740) Prec@1 30.078 (31.020) Prec@5 54.688 (56.019)
Epoch: [6][3900/5005] Time 0.201 (0.224) Data 0.041 (0.076) Loss 3.5942 (3.2740) Prec@1 27.734 (31.019) Prec@5 49.609 (56.019)
Epoch: [6][3910/5005] Time 0.190 (0.224) Data 0.086 (0.076) Loss 3.3373 (3.2741) Prec@1 25.781 (31.018) Prec@5 53.516 (56.016)
Epoch: [6][3920/5005] Time 0.194 (0.224) Data 0.042 (0.076) Loss 3.3624 (3.2741) Prec@1 31.250 (31.019) Prec@5 55.469 (56.015)
Epoch: [6][3930/5005] Time 0.199 (0.224) Data 0.046 (0.076) Loss 3.1783 (3.2740) Prec@1 30.078 (31.020) Prec@5 57.812 (56.017)
Epoch: [6][3940/5005] Time 0.208 (0.224) Data 0.043 (0.076) Loss 3.2545 (3.2739) Prec@1 33.594 (31.019) Prec@5 52.344 (56.014)
Epoch: [6][3950/5005] Time 0.208 (0.224) Data 0.047 (0.076) Loss 3.1661 (3.2737) Prec@1 32.031 (31.022) Prec@5 62.109 (56.021)
Epoch: [6][3960/5005] Time 0.207 (0.224) Data 0.046 (0.076) Loss 2.9739 (3.2735) Prec@1 33.594 (31.025) Prec@5 62.500 (56.022)
Epoch: [6][3970/5005] Time 0.208 (0.224) Data 0.049 (0.076) Loss 3.3435 (3.2734) Prec@1 31.250 (31.026) Prec@5 54.688 (56.021)
Epoch: [6][3980/5005] Time 0.203 (0.224) Data 0.045 (0.076) Loss 3.0427 (3.2732) Prec@1 34.375 (31.028) Prec@5 58.984 (56.024)
Epoch: [6][3990/5005] Time 0.206 (0.224) Data 0.039 (0.076) Loss 3.3437 (3.2733) Prec@1 28.906 (31.027) Prec@5 55.078 (56.021)
Epoch: [6][4000/5005] Time 0.201 (0.224) Data 0.041 (0.076) Loss 3.2788 (3.2733) Prec@1 29.688 (31.025) Prec@5 54.297 (56.021)
Epoch: [6][4010/5005] Time 0.199 (0.224) Data 0.046 (0.076) Loss 3.4277 (3.2731) Prec@1 27.734 (31.025) Prec@5 55.469 (56.023)
Epoch: [6][4020/5005] Time 0.197 (0.224) Data 0.052 (0.076) Loss 3.3757 (3.2731) Prec@1 30.078 (31.026) Prec@5 55.078 (56.023)
Epoch: [6][4030/5005] Time 0.571 (0.224) Data 0.482 (0.076) Loss 3.3986 (3.2733) Prec@1 30.078 (31.022) Prec@5 53.125 (56.018)
Epoch: [6][4040/5005] Time 0.203 (0.224) Data 0.049 (0.076) Loss 3.3038 (3.2734) Prec@1 30.078 (31.021) Prec@5 54.297 (56.015)
Epoch: [6][4050/5005] Time 0.195 (0.224) Data 0.048 (0.076) Loss 3.5951 (3.2733) Prec@1 26.953 (31.025) Prec@5 51.562 (56.019)
Epoch: [6][4060/5005] Time 0.200 (0.224) Data 0.043 (0.076) Loss 3.2038 (3.2733) Prec@1 31.250 (31.025) Prec@5 56.250 (56.018)
Epoch: [6][4070/5005] Time 0.205 (0.224) Data 0.041 (0.076) Loss 3.3603 (3.2733) Prec@1 31.641 (31.022) Prec@5 58.594 (56.019)
Epoch: [6][4080/5005] Time 0.214 (0.224) Data 0.047 (0.076) Loss 3.2795 (3.2733) Prec@1 29.297 (31.021) Prec@5 55.078 (56.017)
Epoch: [6][4090/5005] Time 0.217 (0.224) Data 0.043 (0.076) Loss 3.2880 (3.2732) Prec@1 30.469 (31.020) Prec@5 55.469 (56.017)
Epoch: [6][4100/5005] Time 0.200 (0.224) Data 0.051 (0.076) Loss 3.1352 (3.2732) Prec@1 34.766 (31.020) Prec@5 60.547 (56.018)
Epoch: [6][4110/5005] Time 0.198 (0.224) Data 0.045 (0.076) Loss 3.5601 (3.2732) Prec@1 25.781 (31.017) Prec@5 50.781 (56.017)
Epoch: [6][4120/5005] Time 0.213 (0.224) Data 0.048 (0.076) Loss 3.5771 (3.2730) Prec@1 26.562 (31.019) Prec@5 50.000 (56.020)
Epoch: [6][4130/5005] Time 0.208 (0.224) Data 0.046 (0.076) Loss 3.4643 (3.2729) Prec@1 29.688 (31.018) Prec@5 51.562 (56.019)
Epoch: [6][4140/5005] Time 0.200 (0.224) Data 0.047 (0.076) Loss 3.3488 (3.2729) Prec@1 32.422 (31.020) Prec@5 51.953 (56.018)
Epoch: [6][4150/5005] Time 0.194 (0.224) Data 0.048 (0.076) Loss 3.4483 (3.2729) Prec@1 28.125 (31.019) Prec@5 55.469 (56.022)
Epoch: [6][4160/5005] Time 0.207 (0.224) Data 0.047 (0.076) Loss 3.1980 (3.2729) Prec@1 29.688 (31.020) Prec@5 57.812 (56.023)
Epoch: [6][4170/5005] Time 0.196 (0.224) Data 0.054 (0.076) Loss 3.0358 (3.2726) Prec@1 29.688 (31.022) Prec@5 57.812 (56.027)
Epoch: [6][4180/5005] Time 0.489 (0.224) Data 0.407 (0.076) Loss 3.2434 (3.2725) Prec@1 32.031 (31.025) Prec@5 57.812 (56.028)
Epoch: [6][4190/5005] Time 0.207 (0.224) Data 0.056 (0.076) Loss 3.1636 (3.2725) Prec@1 32.812 (31.025) Prec@5 56.250 (56.026)
Epoch: [6][4200/5005] Time 0.186 (0.224) Data 0.047 (0.076) Loss 3.0089 (3.2724) Prec@1 35.547 (31.028) Prec@5 60.547 (56.030)
Epoch: [6][4210/5005] Time 0.292 (0.224) Data 0.208 (0.076) Loss 3.1829 (3.2724) Prec@1 31.250 (31.030) Prec@5 57.031 (56.030)
Epoch: [6][4220/5005] Time 0.205 (0.224) Data 0.047 (0.076) Loss 3.4370 (3.2726) Prec@1 27.734 (31.030) Prec@5 55.859 (56.027)
Epoch: [6][4230/5005] Time 0.197 (0.224) Data 0.043 (0.076) Loss 3.3232 (3.2726) Prec@1 26.562 (31.028) Prec@5 52.344 (56.026)
Epoch: [6][4240/5005] Time 0.202 (0.224) Data 0.042 (0.076) Loss 3.0878 (3.2725) Prec@1 35.938 (31.028) Prec@5 62.891 (56.026)
Epoch: [6][4250/5005] Time 0.209 (0.224) Data 0.047 (0.076) Loss 3.1923 (3.2724) Prec@1 34.766 (31.033) Prec@5 55.859 (56.026)
Epoch: [6][4260/5005] Time 0.208 (0.224) Data 0.039 (0.076) Loss 3.2273 (3.2724) Prec@1 29.297 (31.032) Prec@5 55.859 (56.025)
Epoch: [6][4270/5005] Time 0.201 (0.224) Data 0.051 (0.076) Loss 3.5494 (3.2726) Prec@1 29.688 (31.029) Prec@5 51.172 (56.021)
Epoch: [6][4280/5005] Time 0.428 (0.224) Data 0.336 (0.076) Loss 3.4692 (3.2727) Prec@1 26.953 (31.028) Prec@5 50.781 (56.020)
Epoch: [6][4290/5005] Time 0.202 (0.224) Data 0.043 (0.076) Loss 3.3209 (3.2726) Prec@1 32.031 (31.029) Prec@5 55.469 (56.020)
Epoch: [6][4300/5005] Time 0.201 (0.224) Data 0.045 (0.076) Loss 3.2132 (3.2725) Prec@1 33.594 (31.032) Prec@5 57.812 (56.025)
Epoch: [6][4310/5005] Time 0.200 (0.224) Data 0.056 (0.076) Loss 3.2269 (3.2724) Prec@1 33.594 (31.034) Prec@5 57.422 (56.028)
Epoch: [6][4320/5005] Time 0.199 (0.224) Data 0.047 (0.076) Loss 3.3408 (3.2723) Prec@1 32.031 (31.036) Prec@5 56.641 (56.028)
Epoch: [6][4330/5005] Time 0.198 (0.224) Data 0.048 (0.076) Loss 3.0679 (3.2722) Prec@1 32.422 (31.038) Prec@5 61.328 (56.029)
Epoch: [6][4340/5005] Time 0.655 (0.224) Data 0.573 (0.077) Loss 3.2680 (3.2722) Prec@1 35.156 (31.037) Prec@5 54.688 (56.030)
Epoch: [6][4350/5005] Time 0.199 (0.224) Data 0.061 (0.077) Loss 3.1711 (3.2721) Prec@1 34.375 (31.041) Prec@5 58.594 (56.032)
Epoch: [6][4360/5005] Time 0.201 (0.224) Data 0.048 (0.077) Loss 3.1674 (3.2720) Prec@1 32.422 (31.042) Prec@5 57.812 (56.034)
Epoch: [6][4370/5005] Time 0.201 (0.224) Data 0.047 (0.077) Loss 3.2198 (3.2719) Prec@1 30.859 (31.044) Prec@5 57.031 (56.034)
Epoch: [6][4380/5005] Time 0.208 (0.224) Data 0.046 (0.077) Loss 3.3408 (3.2719) Prec@1 30.078 (31.046) Prec@5 56.641 (56.036)
Epoch: [6][4390/5005] Time 0.197 (0.224) Data 0.041 (0.077) Loss 3.2142 (3.2716) Prec@1 31.641 (31.053) Prec@5 53.516 (56.040)
Epoch: [6][4400/5005] Time 0.201 (0.224) Data 0.047 (0.077) Loss 3.2754 (3.2716) Prec@1 29.297 (31.054) Prec@5 54.688 (56.039)
Epoch: [6][4410/5005] Time 0.197 (0.224) Data 0.063 (0.077) Loss 3.3412 (3.2715) Prec@1 25.000 (31.055) Prec@5 54.688 (56.041)
Epoch: [6][4420/5005] Time 0.200 (0.224) Data 0.062 (0.077) Loss 3.0090 (3.2713) Prec@1 34.375 (31.057) Prec@5 58.984 (56.044)
Epoch: [6][4430/5005] Time 0.208 (0.224) Data 0.123 (0.076) Loss 3.3122 (3.2711) Prec@1 32.031 (31.061) Prec@5 51.953 (56.047)
Epoch: [6][4440/5005] Time 0.209 (0.224) Data 0.046 (0.077) Loss 3.2896 (3.2710) Prec@1 33.203 (31.063) Prec@5 55.469 (56.053)
Epoch: [6][4450/5005] Time 0.202 (0.224) Data 0.060 (0.077) Loss 3.1585 (3.2708) Prec@1 33.594 (31.065) Prec@5 57.031 (56.055)
Epoch: [6][4460/5005] Time 0.205 (0.224) Data 0.047 (0.077) Loss 3.2602 (3.2707) Prec@1 28.906 (31.068) Prec@5 57.422 (56.057)
Epoch: [6][4470/5005] Time 0.210 (0.224) Data 0.045 (0.077) Loss 3.2840 (3.2708) Prec@1 32.422 (31.066) Prec@5 55.078 (56.056)
Epoch: [6][4480/5005] Time 0.208 (0.224) Data 0.042 (0.077) Loss 2.9591 (3.2709) Prec@1 38.672 (31.066) Prec@5 59.375 (56.055)
Epoch: [6][4490/5005] Time 0.195 (0.224) Data 0.060 (0.077) Loss 3.2491 (3.2709) Prec@1 28.125 (31.066) Prec@5 56.641 (56.055)
Epoch: [6][4500/5005] Time 0.201 (0.224) Data 0.050 (0.077) Loss 3.0752 (3.2709) Prec@1 33.203 (31.066) Prec@5 58.203 (56.056)
Epoch: [6][4510/5005] Time 0.202 (0.224) Data 0.050 (0.077) Loss 3.0979 (3.2708) Prec@1 32.812 (31.066) Prec@5 57.422 (56.053)
Epoch: [6][4520/5005] Time 0.190 (0.224) Data 0.090 (0.077) Loss 3.2249 (3.2706) Prec@1 32.031 (31.069) Prec@5 58.203 (56.059)
Epoch: [6][4530/5005] Time 0.200 (0.224) Data 0.043 (0.077) Loss 3.0777 (3.2706) Prec@1 31.641 (31.071) Prec@5 64.062 (56.062)
Epoch: [6][4540/5005] Time 0.211 (0.224) Data 0.043 (0.077) Loss 3.3870 (3.2708) Prec@1 30.078 (31.069) Prec@5 54.297 (56.060)
Epoch: [6][4550/5005] Time 0.203 (0.224) Data 0.053 (0.077) Loss 3.4375 (3.2708) Prec@1 33.594 (31.068) Prec@5 53.906 (56.059)
Epoch: [6][4560/5005] Time 0.203 (0.224) Data 0.043 (0.077) Loss 3.1336 (3.2707) Prec@1 33.984 (31.071) Prec@5 57.422 (56.062)
Epoch: [6][4570/5005] Time 0.204 (0.224) Data 0.045 (0.077) Loss 3.2558 (3.2706) Prec@1 30.859 (31.072) Prec@5 56.641 (56.064)
Epoch: [6][4580/5005] Time 0.206 (0.224) Data 0.056 (0.077) Loss 3.3743 (3.2704) Prec@1 26.562 (31.074) Prec@5 54.297 (56.066)
Epoch: [6][4590/5005] Time 0.198 (0.224) Data 0.043 (0.077) Loss 3.0707 (3.2704) Prec@1 35.547 (31.074) Prec@5 60.938 (56.067)
Epoch: [6][4600/5005] Time 0.213 (0.224) Data 0.045 (0.077) Loss 2.9903 (3.2705) Prec@1 30.469 (31.072) Prec@5 63.672 (56.064)
Epoch: [6][4610/5005] Time 0.212 (0.224) Data 0.045 (0.077) Loss 3.1586 (3.2703) Prec@1 29.688 (31.075) Prec@5 60.156 (56.068)
Epoch: [6][4620/5005] Time 0.200 (0.224) Data 0.041 (0.077) Loss 3.1634 (3.2703) Prec@1 33.594 (31.075) Prec@5 57.031 (56.069)
Epoch: [6][4630/5005] Time 0.197 (0.224) Data 0.045 (0.077) Loss 2.9706 (3.2702) Prec@1 34.766 (31.075) Prec@5 63.281 (56.072)
Epoch: [6][4640/5005] Time 0.203 (0.224) Data 0.045 (0.077) Loss 3.3704 (3.2701) Prec@1 32.031 (31.076) Prec@5 55.859 (56.073)
Epoch: [6][4650/5005] Time 0.203 (0.224) Data 0.062 (0.077) Loss 3.2800 (3.2701) Prec@1 30.078 (31.075) Prec@5 53.125 (56.074)
Epoch: [6][4660/5005] Time 0.194 (0.224) Data 0.080 (0.077) Loss 3.5303 (3.2701) Prec@1 28.516 (31.075) Prec@5 48.047 (56.073)
Epoch: [6][4670/5005] Time 0.238 (0.224) Data 0.155 (0.077) Loss 3.1154 (3.2699) Prec@1 34.766 (31.078) Prec@5 57.031 (56.075)
Epoch: [6][4680/5005] Time 0.206 (0.224) Data 0.044 (0.077) Loss 3.1443 (3.2698) Prec@1 31.641 (31.080) Prec@5 59.766 (56.075)
Epoch: [6][4690/5005] Time 0.204 (0.224) Data 0.055 (0.077) Loss 3.3157 (3.2698) Prec@1 32.422 (31.079) Prec@5 51.953 (56.072)
Epoch: [6][4700/5005] Time 0.195 (0.224) Data 0.053 (0.077) Loss 3.2932 (3.2698) Prec@1 26.953 (31.079) Prec@5 57.812 (56.077)
Epoch: [6][4710/5005] Time 0.212 (0.224) Data 0.045 (0.077) Loss 3.1851 (3.2696) Prec@1 29.688 (31.082) Prec@5 58.203 (56.081)
Epoch: [6][4720/5005] Time 0.206 (0.224) Data 0.044 (0.077) Loss 3.0327 (3.2695) Prec@1 34.766 (31.082) Prec@5 61.328 (56.082)
Epoch: [6][4730/5005] Time 0.202 (0.224) Data 0.049 (0.077) Loss 3.2475 (3.2697) Prec@1 30.469 (31.082) Prec@5 53.125 (56.079)
Epoch: [6][4740/5005] Time 0.193 (0.224) Data 0.050 (0.077) Loss 3.2095 (3.2696) Prec@1 30.078 (31.084) Prec@5 55.859 (56.083)
Epoch: [6][4750/5005] Time 0.198 (0.224) Data 0.046 (0.077) Loss 3.2431 (3.2695) Prec@1 30.469 (31.087) Prec@5 55.078 (56.085)
Epoch: [6][4760/5005] Time 0.208 (0.224) Data 0.054 (0.077) Loss 3.5400 (3.2693) Prec@1 25.391 (31.088) Prec@5 50.000 (56.088)
Epoch: [6][4770/5005] Time 0.194 (0.224) Data 0.047 (0.077) Loss 3.1074 (3.2692) Prec@1 35.938 (31.089) Prec@5 60.938 (56.090)
Epoch: [6][4780/5005] Time 0.645 (0.224) Data 0.549 (0.077) Loss 3.2379 (3.2692) Prec@1 33.203 (31.091) Prec@5 57.422 (56.091)
Epoch: [6][4790/5005] Time 0.191 (0.224) Data 0.054 (0.077) Loss 3.3812 (3.2691) Prec@1 34.375 (31.095) Prec@5 54.297 (56.094)
Epoch: [6][4800/5005] Time 0.188 (0.224) Data 0.088 (0.077) Loss 3.4811 (3.2691) Prec@1 28.516 (31.094) Prec@5 54.688 (56.093)
Epoch: [6][4810/5005] Time 0.307 (0.224) Data 0.225 (0.077) Loss 3.4378 (3.2690) Prec@1 25.391 (31.093) Prec@5 55.078 (56.095)
Epoch: [6][4820/5005] Time 0.199 (0.224) Data 0.039 (0.077) Loss 3.3986 (3.2688) Prec@1 29.688 (31.096) Prec@5 53.516 (56.097)
Epoch: [6][4830/5005] Time 0.203 (0.224) Data 0.043 (0.077) Loss 3.2281 (3.2686) Prec@1 32.812 (31.101) Prec@5 56.250 (56.100)
Epoch: [6][4840/5005] Time 0.484 (0.224) Data 0.398 (0.077) Loss 2.8680 (3.2687) Prec@1 37.891 (31.100) Prec@5 63.281 (56.101)
Epoch: [6][4850/5005] Time 0.194 (0.224) Data 0.054 (0.077) Loss 3.4513 (3.2688) Prec@1 27.734 (31.097) Prec@5 52.734 (56.097)
Epoch: [6][4860/5005] Time 0.204 (0.224) Data 0.050 (0.077) Loss 3.2036 (3.2687) Prec@1 30.078 (31.101) Prec@5 58.594 (56.099)
Epoch: [6][4870/5005] Time 0.197 (0.224) Data 0.039 (0.077) Loss 3.2995 (3.2687) Prec@1 32.812 (31.103) Prec@5 55.078 (56.098)
Epoch: [6][4880/5005] Time 0.387 (0.224) Data 0.306 (0.077) Loss 3.2396 (3.2686) Prec@1 30.469 (31.105) Prec@5 54.688 (56.099)
Epoch: [6][4890/5005] Time 0.201 (0.224) Data 0.059 (0.077) Loss 3.2549 (3.2686) Prec@1 32.031 (31.104) Prec@5 57.031 (56.098)
Epoch: [6][4900/5005] Time 0.196 (0.224) Data 0.052 (0.077) Loss 3.0758 (3.2684) Prec@1 32.031 (31.108) Prec@5 57.031 (56.101)
Epoch: [6][4910/5005] Time 0.202 (0.224) Data 0.043 (0.077) Loss 3.3249 (3.2683) Prec@1 26.172 (31.108) Prec@5 57.422 (56.104)
Epoch: [6][4920/5005] Time 0.201 (0.224) Data 0.064 (0.077) Loss 3.2871 (3.2683) Prec@1 27.344 (31.107) Prec@5 54.297 (56.104)
Epoch: [6][4930/5005] Time 0.207 (0.224) Data 0.063 (0.077) Loss 3.3728 (3.2682) Prec@1 28.125 (31.108) Prec@5 55.859 (56.106)
Epoch: [6][4940/5005] Time 0.201 (0.224) Data 0.045 (0.077) Loss 3.2052 (3.2682) Prec@1 31.250 (31.107) Prec@5 55.469 (56.105)
Epoch: [6][4950/5005] Time 0.197 (0.224) Data 0.048 (0.077) Loss 2.8924 (3.2682) Prec@1 35.938 (31.107) Prec@5 61.328 (56.106)
Epoch: [6][4960/5005] Time 0.195 (0.224) Data 0.051 (0.077) Loss 3.4543 (3.2681) Prec@1 27.734 (31.108) Prec@5 54.688 (56.108)
Epoch: [6][4970/5005] Time 0.199 (0.224) Data 0.122 (0.077) Loss 3.3245 (3.2681) Prec@1 30.859 (31.106) Prec@5 52.344 (56.108)
Epoch: [6][4980/5005] Time 0.202 (0.224) Data 0.062 (0.077) Loss 3.3954 (3.2680) Prec@1 31.250 (31.107) Prec@5 52.344 (56.110)
Epoch: [6][4990/5005] Time 0.205 (0.224) Data 0.030 (0.077) Loss 3.4083 (3.2679) Prec@1 26.953 (31.109) Prec@5 54.297 (56.112)
Epoch: [6][5000/5005] Time 0.203 (0.224) Data 0.026 (0.077) Loss 3.2367 (3.2679) Prec@1 26.953 (31.106) Prec@5 55.078 (56.111)
Test: [0/196] Time 2.192 (2.192) Loss 3.2878 (3.2878) Prec@1 30.469 (30.469) Prec@5 53.906 (53.906)
Test: [10/196] Time 0.088 (0.392) Loss 3.5829 (3.5488) Prec@1 27.734 (27.521) Prec@5 49.219 (50.710)
Test: [20/196] Time 0.043 (0.302) Loss 3.5422 (3.5827) Prec@1 27.734 (26.488) Prec@5 49.219 (50.502)
Test: [30/196] Time 0.043 (0.270) Loss 3.5621 (3.5929) Prec@1 29.297 (26.474) Prec@5 52.734 (50.466)
Test: [40/196] Time 0.832 (0.270) Loss 3.3067 (3.5817) Prec@1 33.203 (26.867) Prec@5 51.953 (50.600)
Test: [50/196] Time 0.048 (0.261) Loss 3.5609 (3.5844) Prec@1 22.266 (26.616) Prec@5 55.469 (50.774)
Test: [60/196] Time 0.042 (0.252) Loss 3.4613 (3.5744) Prec@1 31.250 (26.851) Prec@5 51.562 (50.794)
Test: [70/196] Time 0.054 (0.241) Loss 3.5461 (3.5697) Prec@1 29.297 (26.854) Prec@5 50.391 (50.869)
Test: [80/196] Time 0.044 (0.244) Loss 3.3504 (3.5726) Prec@1 31.641 (26.977) Prec@5 55.078 (50.844)
Test: [90/196] Time 0.415 (0.242) Loss 3.6210 (3.5776) Prec@1 28.906 (26.854) Prec@5 50.391 (50.730)
Test: [100/196] Time 0.102 (0.238) Loss 3.5457 (3.5768) Prec@1 28.906 (27.034) Prec@5 51.953 (50.766)
Test: [110/196] Time 0.046 (0.234) Loss 3.8462 (3.5789) Prec@1 25.391 (26.992) Prec@5 46.875 (50.753)
Test: [120/196] Time 0.904 (0.239) Loss 3.5401 (3.5749) Prec@1 23.047 (26.927) Prec@5 53.125 (50.836)
Test: [130/196] Time 0.462 (0.238) Loss 3.1140 (3.5722) Prec@1 33.984 (26.935) Prec@5 58.203 (50.901)
Test: [140/196] Time 0.046 (0.236) Loss 3.3565 (3.5756) Prec@1 28.516 (26.900) Prec@5 51.172 (50.801)
Test: [150/196] Time 0.123 (0.232) Loss 3.2891 (3.5711) Prec@1 30.078 (26.974) Prec@5 57.812 (50.905)
Test: [160/196] Time 0.044 (0.230) Loss 3.4627 (3.5667) Prec@1 30.859 (27.040) Prec@5 56.250 (50.973)
Test: [170/196] Time 1.099 (0.236) Loss 3.2871 (3.5669) Prec@1 29.688 (27.086) Prec@5 54.688 (51.012)
Test: [180/196] Time 0.044 (0.234) Loss 3.6901 (3.5709) Prec@1 26.562 (27.009) Prec@5 50.781 (50.978)
Test: [190/196] Time 0.050 (0.232) Loss 3.8360 (3.5722) Prec@1 23.828 (27.027) Prec@5 45.703 (50.912)
* Prec@1 27.010 Prec@5 50.926
Learning rate: 0.001
Epoch: [7][0/5005] Time 2.386 (2.386) Data 2.300 (2.300) Loss 3.1885 (3.1885) Prec@1 32.812 (32.812) Prec@5 58.203 (58.203)
Epoch: [7][10/5005] Time 0.193 (0.400) Data 0.045 (0.254) Loss 2.9646 (3.2427) Prec@1 36.719 (31.818) Prec@5 64.062 (57.031)
Epoch: [7][20/5005] Time 0.204 (0.306) Data 0.043 (0.154) Loss 3.3941 (3.2685) Prec@1 28.516 (30.952) Prec@5 56.641 (56.362)
Epoch: [7][30/5005] Time 0.201 (0.273) Data 0.043 (0.119) Loss 3.2775 (3.2297) Prec@1 29.297 (31.300) Prec@5 56.250 (56.817)
Epoch: [7][40/5005] Time 0.199 (0.255) Data 0.039 (0.100) Loss 3.1189 (3.2369) Prec@1 33.203 (31.326) Prec@5 59.375 (56.669)
Epoch: [7][50/5005] Time 0.199 (0.244) Data 0.040 (0.089) Loss 3.0485 (3.2314) Prec@1 28.906 (31.342) Prec@5 62.500 (56.778)
Epoch: [7][60/5005] Time 0.203 (0.237) Data 0.042 (0.081) Loss 3.2347 (3.2269) Prec@1 31.641 (31.493) Prec@5 57.812 (56.846)
Epoch: [7][70/5005] Time 0.193 (0.232) Data 0.044 (0.076) Loss 3.1028 (3.2412) Prec@1 28.906 (31.162) Prec@5 60.938 (56.624)
Epoch: [7][80/5005] Time 0.195 (0.228) Data 0.067 (0.073) Loss 3.1497 (3.2381) Prec@1 33.203 (31.182) Prec@5 58.203 (56.670)
Epoch: [7][90/5005] Time 0.201 (0.226) Data 0.046 (0.071) Loss 3.2095 (3.2300) Prec@1 34.766 (31.456) Prec@5 60.938 (56.825)
Epoch: [7][100/5005] Time 0.198 (0.224) Data 0.045 (0.068) Loss 3.1720 (3.2326) Prec@1 32.031 (31.424) Prec@5 58.594 (56.753)
Epoch: [7][110/5005] Time 0.199 (0.222) Data 0.043 (0.066) Loss 3.2102 (3.2334) Prec@1 33.984 (31.605) Prec@5 55.859 (56.725)
Epoch: [7][120/5005] Time 0.201 (0.220) Data 0.044 (0.064) Loss 3.2877 (3.2371) Prec@1 31.250 (31.599) Prec@5 52.344 (56.692)
Epoch: [7][130/5005] Time 0.208 (0.219) Data 0.042 (0.062) Loss 3.3324 (3.2339) Prec@1 33.203 (31.578) Prec@5 56.250 (56.840)
Epoch: [7][140/5005] Time 0.305 (0.220) Data 0.228 (0.065) Loss 3.1488 (3.2314) Prec@1 30.078 (31.535) Prec@5 59.375 (56.882)
Epoch: [7][150/5005] Time 0.201 (0.222) Data 0.052 (0.069) Loss 3.2676 (3.2345) Prec@1 28.516 (31.434) Prec@5 56.641 (56.871)
Epoch: [7][160/5005] Time 0.202 (0.223) Data 0.040 (0.071) Loss 3.0346 (3.2328) Prec@1 31.641 (31.468) Prec@5 56.641 (56.966)
Epoch: [7][170/5005] Time 0.203 (0.225) Data 0.040 (0.074) Loss 3.3009 (3.2335) Prec@1 32.422 (31.510) Prec@5 58.203 (56.903)
Epoch: [7][180/5005] Time 0.255 (0.224) Data 0.170 (0.074) Loss 3.3646 (3.2336) Prec@1 28.516 (31.481) Prec@5 54.688 (56.867)
Epoch: [7][190/5005] Time 0.208 (0.226) Data 0.046 (0.076) Loss 3.3978 (3.2373) Prec@1 30.859 (31.473) Prec@5 55.078 (56.739)
Epoch: [7][200/5005] Time 0.214 (0.226) Data 0.053 (0.077) Loss 3.4738 (3.2385) Prec@1 28.125 (31.477) Prec@5 51.172 (56.714)
Epoch: [7][210/5005] Time 0.211 (0.227) Data 0.046 (0.077) Loss 2.9635 (3.2371) Prec@1 38.281 (31.515) Prec@5 61.719 (56.739)
Epoch: [7][220/5005] Time 0.214 (0.226) Data 0.095 (0.076) Loss 3.1820 (3.2377) Prec@1 30.078 (31.550) Prec@5 59.375 (56.741)
Epoch: [7][230/5005] Time 0.207 (0.227) Data 0.092 (0.077) Loss 2.9997 (3.2365) Prec@1 32.031 (31.570) Prec@5 59.766 (56.803)
Epoch: [7][240/5005] Time 0.210 (0.228) Data 0.052 (0.079) Loss 3.1884 (3.2366) Prec@1 32.812 (31.550) Prec@5 57.031 (56.780)
Epoch: [7][250/5005] Time 0.197 (0.229) Data 0.108 (0.079) Loss 3.4112 (3.2356) Prec@1 28.125 (31.586) Prec@5 56.250 (56.813)
Epoch: [7][260/5005] Time 0.206 (0.229) Data 0.059 (0.079) Loss 3.1483 (3.2368) Prec@1 30.469 (31.581) Prec@5 53.516 (56.763)
Epoch: [7][270/5005] Time 0.208 (0.230) Data 0.050 (0.081) Loss 3.1106 (3.2360) Prec@1 34.375 (31.571) Prec@5 61.328 (56.788)
Epoch: [7][280/5005] Time 0.204 (0.231) Data 0.053 (0.081) Loss 3.6707 (3.2393) Prec@1 25.000 (31.521) Prec@5 51.953 (56.709)
Epoch: [7][290/5005] Time 0.212 (0.231) Data 0.043 (0.082) Loss 3.1214 (3.2405) Prec@1 33.594 (31.505) Prec@5 59.375 (56.659)
Epoch: [7][300/5005] Time 0.211 (0.231) Data 0.051 (0.082) Loss 3.0428 (3.2403) Prec@1 34.375 (31.533) Prec@5 62.891 (56.668)
Epoch: [7][310/5005] Time 0.211 (0.231) Data 0.046 (0.082) Loss 3.0805 (3.2364) Prec@1 31.641 (31.589) Prec@5 60.547 (56.721)
Epoch: [7][320/5005] Time 0.218 (0.231) Data 0.044 (0.082) Loss 3.4501 (3.2373) Prec@1 32.422 (31.596) Prec@5 53.516 (56.700)
Epoch: [7][330/5005] Time 0.208 (0.231) Data 0.045 (0.082) Loss 3.0033 (3.2349) Prec@1 29.297 (31.613) Prec@5 61.719 (56.748)
Epoch: [7][340/5005] Time 0.326 (0.232) Data 0.236 (0.084) Loss 3.3361 (3.2369) Prec@1 31.250 (31.596) Prec@5 54.297 (56.706)
Epoch: [7][350/5005] Time 0.215 (0.232) Data 0.054 (0.084) Loss 3.3232 (3.2367) Prec@1 30.469 (31.601) Prec@5 54.688 (56.701)
Epoch: [7][360/5005] Time 0.220 (0.232) Data 0.044 (0.083) Loss 3.3553 (3.2355) Prec@1 27.734 (31.620) Prec@5 54.297 (56.711)
Epoch: [7][370/5005] Time 0.207 (0.231) Data 0.043 (0.082) Loss 3.3489 (3.2332) Prec@1 28.906 (31.625) Prec@5 54.297 (56.771)
Epoch: [7][380/5005] Time 0.210 (0.231) Data 0.043 (0.081) Loss 3.3338 (3.2336) Prec@1 33.594 (31.649) Prec@5 58.203 (56.783)
Epoch: [7][390/5005] Time 0.217 (0.230) Data 0.044 (0.080) Loss 3.2555 (3.2342) Prec@1 31.641 (31.651) Prec@5 57.812 (56.775)
Epoch: [7][400/5005] Time 0.214 (0.230) Data 0.042 (0.079) Loss 3.1095 (3.2323) Prec@1 31.250 (31.632) Prec@5 60.156 (56.823)
Epoch: [7][410/5005] Time 0.219 (0.229) Data 0.041 (0.078) Loss 2.9573 (3.2310) Prec@1 34.766 (31.656) Prec@5 61.719 (56.833)
Epoch: [7][420/5005] Time 0.218 (0.229) Data 0.039 (0.078) Loss 3.1745 (3.2305) Prec@1 32.422 (31.680) Prec@5 59.375 (56.838)
Epoch: [7][430/5005] Time 0.218 (0.229) Data 0.040 (0.077) Loss 3.3168 (3.2309) Prec@1 33.203 (31.669) Prec@5 58.203 (56.839)
Epoch: [7][440/5005] Time 0.221 (0.228) Data 0.046 (0.076) Loss 3.1285 (3.2310) Prec@1 33.594 (31.645) Prec@5 57.812 (56.838)
Epoch: [7][450/5005] Time 0.215 (0.228) Data 0.044 (0.075) Loss 3.0351 (3.2315) Prec@1 32.422 (31.618) Prec@5 57.031 (56.803)
Epoch: [7][460/5005] Time 0.209 (0.228) Data 0.042 (0.075) Loss 3.4276 (3.2320) Prec@1 27.344 (31.588) Prec@5 53.906 (56.790)
Epoch: [7][470/5005] Time 0.215 (0.228) Data 0.042 (0.074) Loss 3.1956 (3.2331) Prec@1 27.344 (31.578) Prec@5 55.859 (56.778)
Epoch: [7][480/5005] Time 0.207 (0.227) Data 0.047 (0.073) Loss 3.3415 (3.2328) Prec@1 27.344 (31.581) Prec@5 55.078 (56.773)
Epoch: [7][490/5005] Time 0.212 (0.227) Data 0.044 (0.073) Loss 3.0743 (3.2328) Prec@1 35.547 (31.584) Prec@5 60.156 (56.772)
Epoch: [7][500/5005] Time 0.209 (0.226) Data 0.044 (0.072) Loss 3.1791 (3.2342) Prec@1 31.641 (31.584) Prec@5 55.859 (56.744)
Epoch: [7][510/5005] Time 0.212 (0.226) Data 0.045 (0.072) Loss 3.4732 (3.2358) Prec@1 24.219 (31.556) Prec@5 52.734 (56.735)
Epoch: [7][520/5005] Time 0.208 (0.226) Data 0.047 (0.072) Loss 3.2740 (3.2350) Prec@1 30.078 (31.578) Prec@5 51.953 (56.747)
Epoch: [7][530/5005] Time 0.214 (0.226) Data 0.042 (0.071) Loss 3.1136 (3.2346) Prec@1 32.812 (31.580) Prec@5 58.594 (56.750)
Epoch: [7][540/5005] Time 0.209 (0.225) Data 0.042 (0.071) Loss 3.4436 (3.2349) Prec@1 30.078 (31.584) Prec@5 54.688 (56.757)
Epoch: [7][550/5005] Time 0.208 (0.225) Data 0.044 (0.070) Loss 3.1291 (3.2342) Prec@1 33.203 (31.594) Prec@5 60.156 (56.765)
Epoch: [7][560/5005] Time 0.220 (0.225) Data 0.042 (0.070) Loss 3.3279 (3.2337) Prec@1 30.078 (31.590) Prec@5 53.516 (56.776)
Epoch: [7][570/5005] Time 0.215 (0.225) Data 0.044 (0.069) Loss 3.2380 (3.2344) Prec@1 32.812 (31.572) Prec@5 57.031 (56.755)
Epoch: [7][580/5005] Time 0.218 (0.225) Data 0.046 (0.069) Loss 3.2139 (3.2337) Prec@1 30.078 (31.572) Prec@5 60.156 (56.761)
Epoch: [7][590/5005] Time 0.209 (0.224) Data 0.042 (0.068) Loss 3.3720 (3.2339) Prec@1 32.031 (31.561) Prec@5 56.641 (56.749)
Epoch: [7][600/5005] Time 0.215 (0.224) Data 0.042 (0.068) Loss 3.1703 (3.2348) Prec@1 30.859 (31.555) Prec@5 57.812 (56.744)
Epoch: [7][610/5005] Time 0.215 (0.224) Data 0.045 (0.067) Loss 3.2512 (3.2349) Prec@1 28.516 (31.546) Prec@5 56.250 (56.733)
Epoch: [7][620/5005] Time 0.216 (0.224) Data 0.040 (0.067) Loss 3.1039 (3.2344) Prec@1 35.156 (31.554) Prec@5 58.594 (56.754)
Epoch: [7][630/5005] Time 0.213 (0.224) Data 0.045 (0.067) Loss 3.4439 (3.2341) Prec@1 25.781 (31.569) Prec@5 53.906 (56.756)
Epoch: [7][640/5005] Time 0.205 (0.224) Data 0.044 (0.066) Loss 3.0263 (3.2338) Prec@1 31.250 (31.545) Prec@5 58.203 (56.753)
Epoch: [7][650/5005] Time 0.222 (0.223) Data 0.048 (0.066) Loss 3.3613 (3.2345) Prec@1 32.812 (31.540) Prec@5 51.953 (56.744)
Epoch: [7][660/5005] Time 0.214 (0.223) Data 0.044 (0.066) Loss 3.2566 (3.2335) Prec@1 32.812 (31.562) Prec@5 58.594 (56.764)
Epoch: [7][670/5005] Time 0.220 (0.223) Data 0.043 (0.066) Loss 3.4054 (3.2332) Prec@1 27.734 (31.568) Prec@5 52.734 (56.770)
Epoch: [7][680/5005] Time 0.216 (0.223) Data 0.058 (0.065) Loss 3.2822 (3.2339) Prec@1 27.734 (31.539) Prec@5 58.203 (56.748)
Epoch: [7][690/5005] Time 0.220 (0.223) Data 0.049 (0.065) Loss 3.1125 (3.2338) Prec@1 32.422 (31.539) Prec@5 58.203 (56.746)
Epoch: [7][700/5005] Time 0.221 (0.223) Data 0.041 (0.065) Loss 3.1456 (3.2334) Prec@1 33.203 (31.524) Prec@5 58.203 (56.736)
Epoch: [7][710/5005] Time 0.206 (0.222) Data 0.043 (0.065) Loss 3.1400 (3.2333) Prec@1 30.859 (31.530) Prec@5 55.469 (56.736)
Epoch: [7][720/5005] Time 0.212 (0.222) Data 0.064 (0.064) Loss 3.2140 (3.2326) Prec@1 28.125 (31.532) Prec@5 57.812 (56.746)
Epoch: [7][730/5005] Time 0.214 (0.222) Data 0.041 (0.064) Loss 3.4214 (3.2326) Prec@1 29.688 (31.539) Prec@5 52.344 (56.748)
Epoch: [7][740/5005] Time 0.208 (0.222) Data 0.047 (0.064) Loss 3.1887 (3.2319) Prec@1 31.641 (31.572) Prec@5 55.859 (56.754)
Epoch: [7][750/5005] Time 0.212 (0.222) Data 0.050 (0.064) Loss 3.0579 (3.2309) Prec@1 32.422 (31.585) Prec@5 58.594 (56.768)
Epoch: [7][760/5005] Time 0.210 (0.222) Data 0.044 (0.064) Loss 3.2146 (3.2312) Prec@1 28.906 (31.576) Prec@5 56.641 (56.760)
Epoch: [7][770/5005] Time 0.209 (0.222) Data 0.046 (0.063) Loss 3.3335 (3.2302) Prec@1 26.953 (31.584) Prec@5 51.562 (56.766)
Epoch: [7][780/5005] Time 0.214 (0.221) Data 0.042 (0.063) Loss 3.2361 (3.2299) Prec@1 31.641 (31.599) Prec@5 53.516 (56.768)
Epoch: [7][790/5005] Time 0.214 (0.222) Data 0.042 (0.063) Loss 3.2687 (3.2294) Prec@1 29.297 (31.603) Prec@5 54.688 (56.769)
Epoch: [7][800/5005] Time 0.273 (0.222) Data 0.187 (0.063) Loss 3.1790 (3.2283) Prec@1 31.641 (31.626) Prec@5 56.250 (56.782)
Epoch: [7][810/5005] Time 0.216 (0.221) Data 0.041 (0.063) Loss 3.4435 (3.2288) Prec@1 26.562 (31.618) Prec@5 55.859 (56.785)
Epoch: [7][820/5005] Time 0.209 (0.222) Data 0.044 (0.063) Loss 3.3484 (3.2284) Prec@1 30.859 (31.629) Prec@5 52.734 (56.783)
Epoch: [7][830/5005] Time 0.198 (0.222) Data 0.044 (0.063) Loss 3.2649 (3.2286) Prec@1 28.516 (31.623) Prec@5 54.688 (56.770)
Epoch: [7][840/5005] Time 0.212 (0.222) Data 0.040 (0.063) Loss 3.1048 (3.2285) Prec@1 31.250 (31.617) Prec@5 57.812 (56.782)
Epoch: [7][850/5005] Time 0.566 (0.222) Data 0.479 (0.064) Loss 3.5816 (3.2280) Prec@1 29.688 (31.635) Prec@5 53.906 (56.790)
Epoch: [7][860/5005] Time 0.207 (0.222) Data 0.049 (0.064) Loss 3.2319 (3.2279) Prec@1 34.766 (31.652) Prec@5 56.641 (56.798)
Epoch: [7][870/5005] Time 0.206 (0.222) Data 0.046 (0.064) Loss 3.2574 (3.2272) Prec@1 30.078 (31.659) Prec@5 55.859 (56.805)
Epoch: [7][880/5005] Time 0.216 (0.222) Data 0.046 (0.064) Loss 3.1207 (3.2274) Prec@1 30.859 (31.665) Prec@5 53.906 (56.792)
Epoch: [7][890/5005] Time 0.222 (0.222) Data 0.040 (0.065) Loss 3.4225 (3.2275) Prec@1 30.469 (31.656) Prec@5 53.906 (56.789)
Epoch: [7][900/5005] Time 0.287 (0.222) Data 0.200 (0.065) Loss 3.0757 (3.2269) Prec@1 30.859 (31.658) Prec@5 62.500 (56.809)
Epoch: [7][910/5005] Time 0.208 (0.222) Data 0.044 (0.065) Loss 3.2172 (3.2268) Prec@1 35.547 (31.662) Prec@5 55.859 (56.807)
Epoch: [7][920/5005] Time 0.205 (0.222) Data 0.039 (0.065) Loss 3.2300 (3.2262) Prec@1 32.031 (31.665) Prec@5 55.469 (56.827)
Epoch: [7][930/5005] Time 0.201 (0.223) Data 0.043 (0.065) Loss 3.0590 (3.2256) Prec@1 35.156 (31.680) Prec@5 61.328 (56.841)
Epoch: [7][940/5005] Time 0.207 (0.223) Data 0.059 (0.066) Loss 3.2313 (3.2257) Prec@1 27.344 (31.678) Prec@5 56.641 (56.845)
Epoch: [7][950/5005] Time 0.200 (0.224) Data 0.043 (0.066) Loss 3.2914 (3.2260) Prec@1 31.641 (31.671) Prec@5 56.250 (56.838)
Epoch: [7][960/5005] Time 0.216 (0.224) Data 0.134 (0.067) Loss 3.4374 (3.2264) Prec@1 30.469 (31.669) Prec@5 52.344 (56.823)
Epoch: [7][970/5005] Time 0.206 (0.224) Data 0.047 (0.067) Loss 3.0851 (3.2267) Prec@1 33.594 (31.656) Prec@5 57.422 (56.820)
Epoch: [7][980/5005] Time 0.210 (0.224) Data 0.065 (0.067) Loss 3.0617 (3.2262) Prec@1 31.250 (31.660) Prec@5 60.156 (56.827)
Epoch: [7][990/5005] Time 0.213 (0.224) Data 0.042 (0.067) Loss 3.2783 (3.2266) Prec@1 29.688 (31.652) Prec@5 54.297 (56.819)
Epoch: [7][1000/5005] Time 0.205 (0.224) Data 0.042 (0.067) Loss 3.1438 (3.2263) Prec@1 35.547 (31.667) Prec@5 57.031 (56.824)
Epoch: [7][1010/5005] Time 0.210 (0.224) Data 0.041 (0.067) Loss 3.1880 (3.2257) Prec@1 30.078 (31.675) Prec@5 57.812 (56.836)
Epoch: [7][1020/5005] Time 0.211 (0.224) Data 0.045 (0.067) Loss 3.0383 (3.2259) Prec@1 35.938 (31.680) Prec@5 60.156 (56.830)
Epoch: [7][1030/5005] Time 0.206 (0.224) Data 0.041 (0.067) Loss 3.3599 (3.2257) Prec@1 31.641 (31.682) Prec@5 53.906 (56.835)
Epoch: [7][1040/5005] Time 0.208 (0.224) Data 0.042 (0.066) Loss 3.3806 (3.2258) Prec@1 27.734 (31.683) Prec@5 53.125 (56.834)
Epoch: [7][1050/5005] Time 0.218 (0.224) Data 0.042 (0.066) Loss 3.3521 (3.2264) Prec@1 30.859 (31.666) Prec@5 53.125 (56.817)
Epoch: [7][1060/5005] Time 0.212 (0.223) Data 0.044 (0.066) Loss 3.3120 (3.2267) Prec@1 30.078 (31.670) Prec@5 55.078 (56.813)
Epoch: [7][1070/5005] Time 0.206 (0.223) Data 0.046 (0.066) Loss 3.3310 (3.2267) Prec@1 31.641 (31.672) Prec@5 53.906 (56.816)
Epoch: [7][1080/5005] Time 0.212 (0.223) Data 0.048 (0.066) Loss 3.2698 (3.2266) Prec@1 32.422 (31.680) Prec@5 56.250 (56.823)
Epoch: [7][1090/5005] Time 0.211 (0.223) Data 0.042 (0.065) Loss 3.0676 (3.2261) Prec@1 35.938 (31.687) Prec@5 57.422 (56.833)
Epoch: [7][1100/5005] Time 0.210 (0.223) Data 0.043 (0.065) Loss 3.0956 (3.2259) Prec@1 32.422 (31.691) Prec@5 58.594 (56.834)
Epoch: [7][1110/5005] Time 0.198 (0.223) Data 0.042 (0.065) Loss 3.3558 (3.2258) Prec@1 30.469 (31.693) Prec@5 55.859 (56.836)
Epoch: [7][1120/5005] Time 0.206 (0.223) Data 0.063 (0.065) Loss 2.9904 (3.2251) Prec@1 36.328 (31.703) Prec@5 59.766 (56.847)
Epoch: [7][1130/5005] Time 0.203 (0.223) Data 0.048 (0.065) Loss 3.0911 (3.2254) Prec@1 33.984 (31.700) Prec@5 60.547 (56.848)
Epoch: [7][1140/5005] Time 0.213 (0.223) Data 0.043 (0.065) Loss 3.3523 (3.2251) Prec@1 31.641 (31.701) Prec@5 55.859 (56.852)
Epoch: [7][1150/5005] Time 0.208 (0.222) Data 0.040 (0.064) Loss 3.1955 (3.2242) Prec@1 31.250 (31.714) Prec@5 56.250 (56.869)
Epoch: [7][1160/5005] Time 0.216 (0.222) Data 0.046 (0.064) Loss 3.1546 (3.2245) Prec@1 33.594 (31.713) Prec@5 58.203 (56.868)
Epoch: [7][1170/5005] Time 0.213 (0.222) Data 0.048 (0.064) Loss 3.2085 (3.2244) Prec@1 33.594 (31.705) Prec@5 58.984 (56.869)
Epoch: [7][1180/5005] Time 0.210 (0.222) Data 0.041 (0.064) Loss 3.2663 (3.2240) Prec@1 30.078 (31.718) Prec@5 55.078 (56.869)
Epoch: [7][1190/5005] Time 0.209 (0.222) Data 0.040 (0.064) Loss 3.0248 (3.2241) Prec@1 31.250 (31.718) Prec@5 61.328 (56.864)
Epoch: [7][1200/5005] Time 0.210 (0.222) Data 0.044 (0.064) Loss 3.3490 (3.2242) Prec@1 26.172 (31.709) Prec@5 55.859 (56.865)
Epoch: [7][1210/5005] Time 0.209 (0.222) Data 0.051 (0.064) Loss 3.1892 (3.2247) Prec@1 30.078 (31.694) Prec@5 58.594 (56.859)
Epoch: [7][1220/5005] Time 0.366 (0.222) Data 0.276 (0.064) Loss 3.2210 (3.2249) Prec@1 31.250 (31.692) Prec@5 55.469 (56.859)
Epoch: [7][1230/5005] Time 0.196 (0.222) Data 0.044 (0.064) Loss 3.2469 (3.2247) Prec@1 33.203 (31.691) Prec@5 57.812 (56.857)
Epoch: [7][1240/5005] Time 0.209 (0.222) Data 0.065 (0.064) Loss 3.1995 (3.2249) Prec@1 30.859 (31.685) Prec@5 57.031 (56.847)
Epoch: [7][1250/5005] Time 0.199 (0.222) Data 0.051 (0.064) Loss 3.3707 (3.2254) Prec@1 30.859 (31.671) Prec@5 55.469 (56.837)
Epoch: [7][1260/5005] Time 0.281 (0.222) Data 0.185 (0.065) Loss 2.8606 (3.2246) Prec@1 36.719 (31.680) Prec@5 60.938 (56.853)
Epoch: [7][1270/5005] Time 0.205 (0.222) Data 0.048 (0.065) Loss 3.3876 (3.2251) Prec@1 30.078 (31.676) Prec@5 55.078 (56.846)
Epoch: [7][1280/5005] Time 0.209 (0.222) Data 0.048 (0.065) Loss 3.2639 (3.2254) Prec@1 30.859 (31.679) Prec@5 55.859 (56.838)
Epoch: [7][1290/5005] Time 0.200 (0.222) Data 0.049 (0.066) Loss 3.0102 (3.2251) Prec@1 34.375 (31.688) Prec@5 59.375 (56.842)
Epoch: [7][1300/5005] Time 0.205 (0.222) Data 0.043 (0.066) Loss 3.0943 (3.2248) Prec@1 36.328 (31.692) Prec@5 57.031 (56.841)
Epoch: [7][1310/5005] Time 0.441 (0.222) Data 0.354 (0.066) Loss 3.2953 (3.2246) Prec@1 31.250 (31.687) Prec@5 55.859 (56.847)
Epoch: [7][1320/5005] Time 0.196 (0.222) Data 0.041 (0.066) Loss 3.2938 (3.2246) Prec@1 31.250 (31.686) Prec@5 57.031 (56.849)
Epoch: [7][1330/5005] Time 0.207 (0.222) Data 0.046 (0.066) Loss 3.3352 (3.2250) Prec@1 27.344 (31.672) Prec@5 53.125 (56.837)
Epoch: [7][1340/5005] Time 0.209 (0.222) Data 0.046 (0.066) Loss 3.2646 (3.2248) Prec@1 28.906 (31.674) Prec@5 57.422 (56.843)
Epoch: [7][1350/5005] Time 0.468 (0.222) Data 0.378 (0.066) Loss 3.6345 (3.2250) Prec@1 30.469 (31.670) Prec@5 54.297 (56.841)
Epoch: [7][1360/5005] Time 0.205 (0.222) Data 0.045 (0.066) Loss 3.1947 (3.2250) Prec@1 31.641 (31.670) Prec@5 57.812 (56.838)
Epoch: [7][1370/5005] Time 0.199 (0.222) Data 0.050 (0.066) Loss 3.3021 (3.2249) Prec@1 24.219 (31.674) Prec@5 60.547 (56.846)
Epoch: [7][1380/5005] Time 0.197 (0.222) Data 0.053 (0.066) Loss 3.2651 (3.2247) Prec@1 31.641 (31.679) Prec@5 55.859 (56.846)
Epoch: [7][1390/5005] Time 0.231 (0.222) Data 0.148 (0.067) Loss 3.1700 (3.2247) Prec@1 32.812 (31.674) Prec@5 57.812 (56.853)
Epoch: [7][1400/5005] Time 0.201 (0.222) Data 0.048 (0.067) Loss 3.1330 (3.2238) Prec@1 38.281 (31.685) Prec@5 57.422 (56.867)
Epoch: [7][1410/5005] Time 0.204 (0.222) Data 0.046 (0.067) Loss 3.1648 (3.2232) Prec@1 32.812 (31.691) Prec@5 58.203 (56.877)
Epoch: [7][1420/5005] Time 0.205 (0.222) Data 0.046 (0.067) Loss 3.3483 (3.2231) Prec@1 34.375 (31.696) Prec@5 54.688 (56.878)
Epoch: [7][1430/5005] Time 0.198 (0.223) Data 0.053 (0.067) Loss 2.9038 (3.2227) Prec@1 37.891 (31.715) Prec@5 64.844 (56.892)
Epoch: [7][1440/5005] Time 0.196 (0.222) Data 0.099 (0.067) Loss 3.0850 (3.2226) Prec@1 30.078 (31.713) Prec@5 58.984 (56.889)
Epoch: [7][1450/5005] Time 0.202 (0.222) Data 0.045 (0.067) Loss 3.0995 (3.2225) Prec@1 33.594 (31.722) Prec@5 57.031 (56.881)
Epoch: [7][1460/5005] Time 0.214 (0.222) Data 0.047 (0.067) Loss 3.2944 (3.2222) Prec@1 28.516 (31.725) Prec@5 54.297 (56.888)
Epoch: [7][1470/5005] Time 0.203 (0.222) Data 0.057 (0.067) Loss 3.1916 (3.2224) Prec@1 29.297 (31.719) Prec@5 57.031 (56.884)
Epoch: [7][1480/5005] Time 0.201 (0.223) Data 0.046 (0.067) Loss 3.1778 (3.2228) Prec@1 31.250 (31.713) Prec@5 58.203 (56.875)
Epoch: [7][1490/5005] Time 0.202 (0.222) Data 0.041 (0.067) Loss 3.5373 (3.2226) Prec@1 27.344 (31.714) Prec@5 50.781 (56.883)
Epoch: [7][1500/5005] Time 0.200 (0.222) Data 0.045 (0.067) Loss 3.2691 (3.2226) Prec@1 32.812 (31.719) Prec@5 55.469 (56.886)
Epoch: [7][1510/5005] Time 0.217 (0.223) Data 0.129 (0.068) Loss 3.0571 (3.2222) Prec@1 32.812 (31.725) Prec@5 59.375 (56.890)
Epoch: [7][1520/5005] Time 0.219 (0.222) Data 0.043 (0.067) Loss 3.3547 (3.2220) Prec@1 31.250 (31.724) Prec@5 55.078 (56.892)
Epoch: [7][1530/5005] Time 0.209 (0.222) Data 0.041 (0.068) Loss 3.2719 (3.2220) Prec@1 28.906 (31.725) Prec@5 55.078 (56.885)
Epoch: [7][1540/5005] Time 0.192 (0.223) Data 0.051 (0.068) Loss 3.2729 (3.2220) Prec@1 28.516 (31.721) Prec@5 53.906 (56.880)
Epoch: [7][1550/5005] Time 0.207 (0.222) Data 0.050 (0.068) Loss 3.0851 (3.2218) Prec@1 36.328 (31.727) Prec@5 60.938 (56.886)
Epoch: [7][1560/5005] Time 0.205 (0.223) Data 0.044 (0.068) Loss 3.2398 (3.2220) Prec@1 33.984 (31.725) Prec@5 55.859 (56.887)
Epoch: [7][1570/5005] Time 0.224 (0.222) Data 0.142 (0.068) Loss 3.0670 (3.2220) Prec@1 32.422 (31.724) Prec@5 60.938 (56.890)
Epoch: [7][1580/5005] Time 0.204 (0.223) Data 0.059 (0.068) Loss 3.0734 (3.2222) Prec@1 33.203 (31.723) Prec@5 62.500 (56.889)
Epoch: [7][1590/5005] Time 0.206 (0.223) Data 0.042 (0.068) Loss 3.0278 (3.2220) Prec@1 34.375 (31.720) Prec@5 62.109 (56.889)
Epoch: [7][1600/5005] Time 0.205 (0.223) Data 0.042 (0.068) Loss 3.2528 (3.2221) Prec@1 28.906 (31.717) Prec@5 54.297 (56.886)
Epoch: [7][1610/5005] Time 1.298 (0.223) Data 1.220 (0.069) Loss 3.2756 (3.2221) Prec@1 32.422 (31.720) Prec@5 56.250 (56.883)
Epoch: [7][1620/5005] Time 0.206 (0.223) Data 0.045 (0.069) Loss 3.3823 (3.2218) Prec@1 28.906 (31.725) Prec@5 54.297 (56.882)
Epoch: [7][1630/5005] Time 0.206 (0.223) Data 0.040 (0.069) Loss 3.0866 (3.2219) Prec@1 33.203 (31.727) Prec@5 60.156 (56.880)
Epoch: [7][1640/5005] Time 0.199 (0.223) Data 0.040 (0.069) Loss 3.1606 (3.2224) Prec@1 30.469 (31.718) Prec@5 58.984 (56.873)
Epoch: [7][1650/5005] Time 0.193 (0.223) Data 0.101 (0.069) Loss 3.3011 (3.2222) Prec@1 30.859 (31.719) Prec@5 52.734 (56.880)
Epoch: [7][1660/5005] Time 0.197 (0.223) Data 0.047 (0.069) Loss 2.9681 (3.2212) Prec@1 36.719 (31.739) Prec@5 62.109 (56.899)
Epoch: [7][1670/5005] Time 0.205 (0.223) Data 0.045 (0.069) Loss 3.0576 (3.2214) Prec@1 34.375 (31.734) Prec@5 60.938 (56.901)
Epoch: [7][1680/5005] Time 0.194 (0.223) Data 0.052 (0.069) Loss 3.2279 (3.2215) Prec@1 35.547 (31.732) Prec@5 56.641 (56.899)
Epoch: [7][1690/5005] Time 0.211 (0.223) Data 0.047 (0.069) Loss 3.0279 (3.2210) Prec@1 35.938 (31.742) Prec@5 61.328 (56.912)
Epoch: [7][1700/5005] Time 0.205 (0.223) Data 0.049 (0.069) Loss 3.0016 (3.2203) Prec@1 35.547 (31.748) Prec@5 59.766 (56.916)
Epoch: [7][1710/5005] Time 0.203 (0.223) Data 0.043 (0.069) Loss 2.9732 (3.2198) Prec@1 38.672 (31.760) Prec@5 62.891 (56.929)
Epoch: [7][1720/5005] Time 0.199 (0.223) Data 0.047 (0.069) Loss 3.2950 (3.2197) Prec@1 26.562 (31.758) Prec@5 55.469 (56.928)
Epoch: [7][1730/5005] Time 0.434 (0.223) Data 0.349 (0.069) Loss 3.1386 (3.2196) Prec@1 30.469 (31.755) Prec@5 57.422 (56.931)
Epoch: [7][1740/5005] Time 0.206 (0.223) Data 0.041 (0.070) Loss 3.2316 (3.2194) Prec@1 30.078 (31.761) Prec@5 55.078 (56.934)
Epoch: [7][1750/5005] Time 0.203 (0.223) Data 0.051 (0.070) Loss 3.2414 (3.2189) Prec@1 31.250 (31.765) Prec@5 54.688 (56.937)
Epoch: [7][1760/5005] Time 0.197 (0.223) Data 0.047 (0.070) Loss 3.0704 (3.2188) Prec@1 37.891 (31.768) Prec@5 60.938 (56.941)
Epoch: [7][1770/5005] Time 0.199 (0.223) Data 0.043 (0.070) Loss 3.1416 (3.2184) Prec@1 26.562 (31.764) Prec@5 55.078 (56.945)
Epoch: [7][1780/5005] Time 0.205 (0.223) Data 0.044 (0.070) Loss 3.1529 (3.2183) Prec@1 33.203 (31.765) Prec@5 57.812 (56.947)
Epoch: [7][1790/5005] Time 0.314 (0.223) Data 0.227 (0.070) Loss 3.0123 (3.2182) Prec@1 33.984 (31.762) Prec@5 59.375 (56.945)
Epoch: [7][1800/5005] Time 0.205 (0.223) Data 0.099 (0.070) Loss 3.1334 (3.2182) Prec@1 32.812 (31.764) Prec@5 57.031 (56.949)
Epoch: [7][1810/5005] Time 0.203 (0.223) Data 0.044 (0.070) Loss 3.1148 (3.2181) Prec@1 35.547 (31.764) Prec@5 56.641 (56.946)
Epoch: [7][1820/5005] Time 0.201 (0.223) Data 0.051 (0.070) Loss 3.1866 (3.2177) Prec@1 27.734 (31.769) Prec@5 57.812 (56.954)
Epoch: [7][1830/5005] Time 0.229 (0.223) Data 0.142 (0.070) Loss 2.9173 (3.2171) Prec@1 36.719 (31.779) Prec@5 62.891 (56.963)
Epoch: [7][1840/5005] Time 0.191 (0.223) Data 0.067 (0.070) Loss 3.2935 (3.2170) Prec@1 28.516 (31.784) Prec@5 55.078 (56.964)
Epoch: [7][1850/5005] Time 0.204 (0.223) Data 0.046 (0.070) Loss 3.2950 (3.2170) Prec@1 30.078 (31.783) Prec@5 54.297 (56.961)
Epoch: [7][1860/5005] Time 0.216 (0.223) Data 0.048 (0.070) Loss 3.0581 (3.2171) Prec@1 33.203 (31.776) Prec@5 58.203 (56.955)
Epoch: [7][1870/5005] Time 0.208 (0.223) Data 0.054 (0.070) Loss 3.3995 (3.2175) Prec@1 31.250 (31.776) Prec@5 53.516 (56.949)
Epoch: [7][1880/5005] Time 0.201 (0.223) Data 0.047 (0.071) Loss 3.1706 (3.2175) Prec@1 30.859 (31.776) Prec@5 57.812 (56.953)
Epoch: [7][1890/5005] Time 0.193 (0.223) Data 0.062 (0.071) Loss 3.2221 (3.2173) Prec@1 32.812 (31.783) Prec@5 57.031 (56.959)
Epoch: [7][1900/5005] Time 0.197 (0.223) Data 0.109 (0.071) Loss 3.2481 (3.2177) Prec@1 31.641 (31.777) Prec@5 56.250 (56.955)
Epoch: [7][1910/5005] Time 0.202 (0.223) Data 0.038 (0.071) Loss 3.2110 (3.2177) Prec@1 28.906 (31.781) Prec@5 56.641 (56.950)
Epoch: [7][1920/5005] Time 0.325 (0.223) Data 0.238 (0.071) Loss 3.2334 (3.2175) Prec@1 29.688 (31.784) Prec@5 53.516 (56.956)
Epoch: [7][1930/5005] Time 0.197 (0.223) Data 0.043 (0.071) Loss 3.0285 (3.2172) Prec@1 31.641 (31.785) Prec@5 58.203 (56.959)
Epoch: [7][1940/5005] Time 0.202 (0.223) Data 0.041 (0.071) Loss 3.0192 (3.2169) Prec@1 35.547 (31.786) Prec@5 60.938 (56.964)
Epoch: [7][1950/5005] Time 0.206 (0.223) Data 0.045 (0.071) Loss 3.2432 (3.2167) Prec@1 32.031 (31.789) Prec@5 55.078 (56.964)
Epoch: [7][1960/5005] Time 0.207 (0.223) Data 0.058 (0.071) Loss 3.1179 (3.2162) Prec@1 29.688 (31.799) Prec@5 59.375 (56.977)
Epoch: [7][1970/5005] Time 0.193 (0.223) Data 0.044 (0.071) Loss 3.3243 (3.2166) Prec@1 31.250 (31.792) Prec@5 56.641 (56.970)
Epoch: [7][1980/5005] Time 0.204 (0.223) Data 0.040 (0.071) Loss 2.9151 (3.2165) Prec@1 33.984 (31.791) Prec@5 60.156 (56.973)
Epoch: [7][1990/5005] Time 0.201 (0.223) Data 0.043 (0.071) Loss 3.1245 (3.2164) Prec@1 29.688 (31.793) Prec@5 58.984 (56.978)
Epoch: [7][2000/5005] Time 0.211 (0.223) Data 0.043 (0.071) Loss 3.0140 (3.2166) Prec@1 35.938 (31.793) Prec@5 61.328 (56.975)
Epoch: [7][2010/5005] Time 0.490 (0.223) Data 0.403 (0.071) Loss 3.0326 (3.2169) Prec@1 30.469 (31.779) Prec@5 61.719 (56.968)
Epoch: [7][2020/5005] Time 0.205 (0.223) Data 0.050 (0.071) Loss 3.1907 (3.2170) Prec@1 33.594 (31.781) Prec@5 55.859 (56.966)
Epoch: [7][2030/5005] Time 0.199 (0.223) Data 0.044 (0.071) Loss 3.0746 (3.2171) Prec@1 34.766 (31.784) Prec@5 59.375 (56.964)
Epoch: [7][2040/5005] Time 0.203 (0.223) Data 0.048 (0.071) Loss 2.9559 (3.2170) Prec@1 34.766 (31.787) Prec@5 64.453 (56.969)
Epoch: [7][2050/5005] Time 0.444 (0.223) Data 0.353 (0.071) Loss 3.1320 (3.2168) Prec@1 34.766 (31.791) Prec@5 61.328 (56.970)
Epoch: [7][2060/5005] Time 0.209 (0.223) Data 0.043 (0.071) Loss 3.1847 (3.2167) Prec@1 30.859 (31.790) Prec@5 52.734 (56.972)
Epoch: [7][2070/5005] Time 0.197 (0.223) Data 0.061 (0.071) Loss 3.3697 (3.2169) Prec@1 29.688 (31.782) Prec@5 56.250 (56.968)
Epoch: [7][2080/5005] Time 0.198 (0.223) Data 0.044 (0.071) Loss 3.1381 (3.2167) Prec@1 31.250 (31.782) Prec@5 60.156 (56.972)
Epoch: [7][2090/5005] Time 0.203 (0.223) Data 0.043 (0.071) Loss 3.1216 (3.2162) Prec@1 32.812 (31.787) Prec@5 58.594 (56.979)
Epoch: [7][2100/5005] Time 0.263 (0.223) Data 0.175 (0.071) Loss 3.3121 (3.2163) Prec@1 26.562 (31.784) Prec@5 55.078 (56.976)
Epoch: [7][2110/5005] Time 0.202 (0.223) Data 0.039 (0.071) Loss 3.1732 (3.2163) Prec@1 35.938 (31.792) Prec@5 54.297 (56.978)
Epoch: [7][2120/5005] Time 0.208 (0.223) Data 0.049 (0.071) Loss 3.3252 (3.2162) Prec@1 30.078 (31.791) Prec@5 54.297 (56.978)
Epoch: [7][2130/5005] Time 0.202 (0.223) Data 0.045 (0.071) Loss 3.1177 (3.2157) Prec@1 35.938 (31.799) Prec@5 60.547 (56.986)
Epoch: [7][2140/5005] Time 0.209 (0.223) Data 0.051 (0.071) Loss 3.0604 (3.2156) Prec@1 34.375 (31.803) Prec@5 55.859 (56.985)
Epoch: [7][2150/5005] Time 0.210 (0.223) Data 0.052 (0.071) Loss 3.1249 (3.2155) Prec@1 35.156 (31.805) Prec@5 58.203 (56.986)
Epoch: [7][2160/5005] Time 0.203 (0.223) Data 0.045 (0.071) Loss 3.0210 (3.2154) Prec@1 34.766 (31.804) Prec@5 61.719 (56.988)
Epoch: [7][2170/5005] Time 0.203 (0.223) Data 0.048 (0.071) Loss 3.1108 (3.2149) Prec@1 35.156 (31.807) Prec@5 59.375 (56.993)
Epoch: [7][2180/5005] Time 1.080 (0.223) Data 1.000 (0.072) Loss 3.1176 (3.2150) Prec@1 35.938 (31.803) Prec@5 58.203 (56.992)
Epoch: [7][2190/5005] Time 0.198 (0.223) Data 0.047 (0.072) Loss 3.3079 (3.2151) Prec@1 30.859 (31.801) Prec@5 54.297 (56.991)
Epoch: [7][2200/5005] Time 0.191 (0.223) Data 0.089 (0.072) Loss 3.3051 (3.2152) Prec@1 31.250 (31.796) Prec@5 55.078 (56.990)
Epoch: [7][2210/5005] Time 0.203 (0.223) Data 0.047 (0.072) Loss 3.2693 (3.2156) Prec@1 31.641 (31.797) Prec@5 53.906 (56.983)
Epoch: [7][2220/5005] Time 0.198 (0.224) Data 0.046 (0.072) Loss 3.3199 (3.2155) Prec@1 27.344 (31.797) Prec@5 55.078 (56.986)
Epoch: [7][2230/5005] Time 0.197 (0.224) Data 0.049 (0.072) Loss 3.2558 (3.2155) Prec@1 29.297 (31.795) Prec@5 54.688 (56.986)
Epoch: [7][2240/5005] Time 0.206 (0.223) Data 0.054 (0.072) Loss 3.2101 (3.2155) Prec@1 30.469 (31.794) Prec@5 60.156 (56.988)
Epoch: [7][2250/5005] Time 0.200 (0.224) Data 0.043 (0.072) Loss 3.1615 (3.2156) Prec@1 33.594 (31.791) Prec@5 60.547 (56.987)
Epoch: [7][2260/5005] Time 0.209 (0.224) Data 0.049 (0.072) Loss 3.0432 (3.2151) Prec@1 36.328 (31.793) Prec@5 60.938 (56.999)
Epoch: [7][2270/5005] Time 0.203 (0.224) Data 0.047 (0.072) Loss 3.3564 (3.2147) Prec@1 32.031 (31.802) Prec@5 52.734 (57.005)
Epoch: [7][2280/5005] Time 0.193 (0.224) Data 0.050 (0.072) Loss 3.1473 (3.2146) Prec@1 32.422 (31.809) Prec@5 58.984 (57.010)
Epoch: [7][2290/5005] Time 0.202 (0.223) Data 0.040 (0.072) Loss 2.8645 (3.2143) Prec@1 36.719 (31.814) Prec@5 62.500 (57.014)
Epoch: [7][2300/5005] Time 0.206 (0.224) Data 0.048 (0.072) Loss 3.0351 (3.2142) Prec@1 33.984 (31.816) Prec@5 56.250 (57.015)
Epoch: [7][2310/5005] Time 0.202 (0.224) Data 0.053 (0.072) Loss 3.0255 (3.2141) Prec@1 35.938 (31.820) Prec@5 57.031 (57.014)
Epoch: [7][2320/5005] Time 0.197 (0.224) Data 0.040 (0.072) Loss 3.3537 (3.2141) Prec@1 32.422 (31.823) Prec@5 57.031 (57.018)
Epoch: [7][2330/5005] Time 0.205 (0.224) Data 0.039 (0.072) Loss 3.1738 (3.2140) Prec@1 37.109 (31.828) Prec@5 59.766 (57.021)
Epoch: [7][2340/5005] Time 0.203 (0.224) Data 0.046 (0.072) Loss 3.1409 (3.2137) Prec@1 31.250 (31.836) Prec@5 56.641 (57.028)
Epoch: [7][2350/5005] Time 0.203 (0.224) Data 0.051 (0.073) Loss 3.3221 (3.2136) Prec@1 32.031 (31.835) Prec@5 53.516 (57.031)
Epoch: [7][2360/5005] Time 0.201 (0.224) Data 0.085 (0.073) Loss 3.0421 (3.2137) Prec@1 34.375 (31.833) Prec@5 60.547 (57.029)
Epoch: [7][2370/5005] Time 0.198 (0.224) Data 0.046 (0.073) Loss 3.3116 (3.2137) Prec@1 31.641 (31.832) Prec@5 50.781 (57.026)
Epoch: [7][2380/5005] Time 0.196 (0.224) Data 0.052 (0.073) Loss 3.2139 (3.2136) Prec@1 28.906 (31.831) Prec@5 57.031 (57.028)
Epoch: [7][2390/5005] Time 0.205 (0.224) Data 0.042 (0.073) Loss 3.2937 (3.2135) Prec@1 27.734 (31.835) Prec@5 54.297 (57.023)
Epoch: [7][2400/5005] Time 0.213 (0.224) Data 0.043 (0.072) Loss 3.0975 (3.2135) Prec@1 33.203 (31.837) Prec@5 62.500 (57.026)
Epoch: [7][2410/5005] Time 0.205 (0.224) Data 0.040 (0.072) Loss 3.4161 (3.2134) Prec@1 28.125 (31.839) Prec@5 51.953 (57.024)
Epoch: [7][2420/5005] Time 0.202 (0.224) Data 0.045 (0.072) Loss 3.2352 (3.2133) Prec@1 29.688 (31.842) Prec@5 57.422 (57.030)
Epoch: [7][2430/5005] Time 0.202 (0.224) Data 0.045 (0.072) Loss 3.1176 (3.2135) Prec@1 33.984 (31.841) Prec@5 55.859 (57.025)
Epoch: [7][2440/5005] Time 0.210 (0.224) Data 0.044 (0.072) Loss 2.8669 (3.2134) Prec@1 35.938 (31.843) Prec@5 61.328 (57.025)
Epoch: [7][2450/5005] Time 0.201 (0.224) Data 0.045 (0.072) Loss 3.2060 (3.2133) Prec@1 33.984 (31.844) Prec@5 55.859 (57.030)
Epoch: [7][2460/5005] Time 0.202 (0.224) Data 0.060 (0.072) Loss 3.2668 (3.2133) Prec@1 31.641 (31.842) Prec@5 55.078 (57.030)
Epoch: [7][2470/5005] Time 0.210 (0.224) Data 0.047 (0.072) Loss 3.2320 (3.2132) Prec@1 31.250 (31.850) Prec@5 55.859 (57.030)
Epoch: [7][2480/5005] Time 0.204 (0.224) Data 0.045 (0.072) Loss 3.4175 (3.2133) Prec@1 30.469 (31.851) Prec@5 59.375 (57.026)
Epoch: [7][2490/5005] Time 0.203 (0.224) Data 0.119 (0.072) Loss 3.0650 (3.2133) Prec@1 32.031 (31.847) Prec@5 59.766 (57.025)
Epoch: [7][2500/5005] Time 0.207 (0.224) Data 0.044 (0.072) Loss 3.1619 (3.2131) Prec@1 32.031 (31.851) Prec@5 53.125 (57.026)
Epoch: [7][2510/5005] Time 0.212 (0.224) Data 0.044 (0.072) Loss 3.2658 (3.2131) Prec@1 30.469 (31.846) Prec@5 54.297 (57.024)
Epoch: [7][2520/5005] Time 0.204 (0.224) Data 0.044 (0.072) Loss 3.0228 (3.2127) Prec@1 41.406 (31.854) Prec@5 62.109 (57.031)
Epoch: [7][2530/5005] Time 0.210 (0.224) Data 0.041 (0.072) Loss 3.3375 (3.2126) Prec@1 30.078 (31.857) Prec@5 54.297 (57.032)
Epoch: [7][2540/5005] Time 0.193 (0.224) Data 0.051 (0.072) Loss 3.1684 (3.2126) Prec@1 30.469 (31.858) Prec@5 58.594 (57.036)
Epoch: [7][2550/5005] Time 0.207 (0.224) Data 0.043 (0.072) Loss 3.2775 (3.2125) Prec@1 25.391 (31.859) Prec@5 58.984 (57.044)
Epoch: [7][2560/5005] Time 0.199 (0.224) Data 0.050 (0.072) Loss 3.2987 (3.2126) Prec@1 26.953 (31.857) Prec@5 55.078 (57.043)
Epoch: [7][2570/5005] Time 0.206 (0.224) Data 0.048 (0.072) Loss 3.2143 (3.2125) Prec@1 30.469 (31.855) Prec@5 53.906 (57.043)
Epoch: [7][2580/5005] Time 0.210 (0.224) Data 0.044 (0.072) Loss 3.2786 (3.2128) Prec@1 32.422 (31.854) Prec@5 55.078 (57.037)
Epoch: [7][2590/5005] Time 0.349 (0.224) Data 0.247 (0.073) Loss 3.4273 (3.2127) Prec@1 27.344 (31.859) Prec@5 55.469 (57.041)
Epoch: [7][2600/5005] Time 0.208 (0.224) Data 0.043 (0.072) Loss 3.3316 (3.2129) Prec@1 28.516 (31.856) Prec@5 55.469 (57.037)
Epoch: [7][2610/5005] Time 0.451 (0.224) Data 0.365 (0.073) Loss 3.4024 (3.2127) Prec@1 27.734 (31.862) Prec@5 56.641 (57.039)
Epoch: [7][2620/5005] Time 0.198 (0.224) Data 0.050 (0.073) Loss 3.1050 (3.2125) Prec@1 35.547 (31.868) Prec@5 58.984 (57.046)
Epoch: [7][2630/5005] Time 0.206 (0.224) Data 0.048 (0.073) Loss 3.4119 (3.2127) Prec@1 25.000 (31.862) Prec@5 55.859 (57.044)
Epoch: [7][2640/5005] Time 0.202 (0.224) Data 0.050 (0.073) Loss 3.2717 (3.2126) Prec@1 31.641 (31.867) Prec@5 54.297 (57.049)
Epoch: [7][2650/5005] Time 0.209 (0.224) Data 0.063 (0.073) Loss 3.4666 (3.2127) Prec@1 28.516 (31.868) Prec@5 53.125 (57.046)
Epoch: [7][2660/5005] Time 0.207 (0.224) Data 0.048 (0.073) Loss 3.1929 (3.2125) Prec@1 28.125 (31.870) Prec@5 60.156 (57.051)
Epoch: [7][2670/5005] Time 0.203 (0.224) Data 0.044 (0.073) Loss 2.8795 (3.2122) Prec@1 34.766 (31.872) Prec@5 60.938 (57.057)
Epoch: [7][2680/5005] Time 0.199 (0.224) Data 0.050 (0.073) Loss 3.0680 (3.2122) Prec@1 37.891 (31.869) Prec@5 61.719 (57.056)
Epoch: [7][2690/5005] Time 0.201 (0.224) Data 0.043 (0.073) Loss 3.0535 (3.2120) Prec@1 33.594 (31.875) Prec@5 57.812 (57.059)
Epoch: [7][2700/5005] Time 0.202 (0.224) Data 0.041 (0.073) Loss 3.1970 (3.2121) Prec@1 31.641 (31.878) Prec@5 55.469 (57.057)
Epoch: [7][2710/5005] Time 0.252 (0.224) Data 0.170 (0.073) Loss 2.9653 (3.2122) Prec@1 36.719 (31.876) Prec@5 62.891 (57.056)
Epoch: [7][2720/5005] Time 0.202 (0.224) Data 0.043 (0.073) Loss 3.1843 (3.2122) Prec@1 30.078 (31.875) Prec@5 59.766 (57.057)
Epoch: [7][2730/5005] Time 0.214 (0.224) Data 0.046 (0.073) Loss 3.1516 (3.2119) Prec@1 34.375 (31.881) Prec@5 58.594 (57.060)
Epoch: [7][2740/5005] Time 0.203 (0.224) Data 0.056 (0.073) Loss 3.1738 (3.2117) Prec@1 34.766 (31.886) Prec@5 57.031 (57.064)
Epoch: [7][2750/5005] Time 0.192 (0.224) Data 0.044 (0.073) Loss 3.1410 (3.2116) Prec@1 31.250 (31.890) Prec@5 56.641 (57.064)
Epoch: [7][2760/5005] Time 0.209 (0.224) Data 0.123 (0.074) Loss 3.1482 (3.2115) Prec@1 37.500 (31.892) Prec@5 58.984 (57.066)
Epoch: [7][2770/5005] Time 0.202 (0.224) Data 0.099 (0.074) Loss 3.0736 (3.2115) Prec@1 36.328 (31.894) Prec@5 59.375 (57.068)
Epoch: [7][2780/5005] Time 0.201 (0.224) Data 0.043 (0.074) Loss 3.4205 (3.2113) Prec@1 29.688 (31.898) Prec@5 53.125 (57.074)
Epoch: [7][2790/5005] Time 0.196 (0.224) Data 0.046 (0.074) Loss 3.6479 (3.2115) Prec@1 23.828 (31.898) Prec@5 48.438 (57.074)
Epoch: [7][2800/5005] Time 0.558 (0.224) Data 0.472 (0.074) Loss 3.0489 (3.2113) Prec@1 38.281 (31.903) Prec@5 59.766 (57.078)
Epoch: [7][2810/5005] Time 0.203 (0.224) Data 0.040 (0.074) Loss 3.3070 (3.2113) Prec@1 30.859 (31.905) Prec@5 53.906 (57.078)
Epoch: [7][2820/5005] Time 0.204 (0.225) Data 0.043 (0.074) Loss 2.8444 (3.2110) Prec@1 33.203 (31.909) Prec@5 63.281 (57.080)
Epoch: [7][2830/5005] Time 0.197 (0.224) Data 0.043 (0.074) Loss 3.5339 (3.2111) Prec@1 20.703 (31.905) Prec@5 53.516 (57.078)
Epoch: [7][2840/5005] Time 0.200 (0.224) Data 0.049 (0.074) Loss 3.1365 (3.2110) Prec@1 32.422 (31.905) Prec@5 57.031 (57.080)
Epoch: [7][2850/5005] Time 0.219 (0.224) Data 0.043 (0.074) Loss 3.1366 (3.2108) Prec@1 33.984 (31.911) Prec@5 56.250 (57.084)
Epoch: [7][2860/5005] Time 0.206 (0.224) Data 0.039 (0.074) Loss 3.2319 (3.2110) Prec@1 33.203 (31.905) Prec@5 57.422 (57.085)
Epoch: [7][2870/5005] Time 0.201 (0.224) Data 0.040 (0.073) Loss 3.0550 (3.2107) Prec@1 33.594 (31.910) Prec@5 59.766 (57.095)
Epoch: [7][2880/5005] Time 0.208 (0.224) Data 0.090 (0.073) Loss 3.1107 (3.2106) Prec@1 30.078 (31.912) Prec@5 61.719 (57.097)
Epoch: [7][2890/5005] Time 0.205 (0.224) Data 0.048 (0.073) Loss 3.2911 (3.2105) Prec@1 26.562 (31.915) Prec@5 53.906 (57.101)
Epoch: [7][2900/5005] Time 0.211 (0.224) Data 0.048 (0.073) Loss 3.0828 (3.2103) Prec@1 35.547 (31.918) Prec@5 59.766 (57.104)
Epoch: [7][2910/5005] Time 0.217 (0.224) Data 0.043 (0.073) Loss 3.1583 (3.2103) Prec@1 29.688 (31.919) Prec@5 59.375 (57.106)
Epoch: [7][2920/5005] Time 0.197 (0.224) Data 0.051 (0.074) Loss 3.2469 (3.2104) Prec@1 27.344 (31.918) Prec@5 57.422 (57.105)
Epoch: [7][2930/5005] Time 0.215 (0.224) Data 0.116 (0.074) Loss 3.5151 (3.2103) Prec@1 30.078 (31.920) Prec@5 50.781 (57.102)
Epoch: [7][2940/5005] Time 0.200 (0.224) Data 0.049 (0.074) Loss 3.1883 (3.2100) Prec@1 31.641 (31.921) Prec@5 56.641 (57.109)
Epoch: [7][2950/5005] Time 0.214 (0.224) Data 0.043 (0.074) Loss 3.3829 (3.2100) Prec@1 25.781 (31.918) Prec@5 55.078 (57.112)
Epoch: [7][2960/5005] Time 0.209 (0.224) Data 0.046 (0.074) Loss 3.2717 (3.2100) Prec@1 30.859 (31.918) Prec@5 57.031 (57.110)
Epoch: [7][2970/5005] Time 0.273 (0.224) Data 0.180 (0.074) Loss 3.2668 (3.2099) Prec@1 27.734 (31.919) Prec@5 57.812 (57.109)
Epoch: [7][2980/5005] Time 0.197 (0.224) Data 0.046 (0.074) Loss 3.2211 (3.2100) Prec@1 28.906 (31.914) Prec@5 58.594 (57.107)
Epoch: [7][2990/5005] Time 0.203 (0.224) Data 0.048 (0.074) Loss 3.1137 (3.2102) Prec@1 32.422 (31.913) Prec@5 60.547 (57.105)
Epoch: [7][3000/5005] Time 0.194 (0.224) Data 0.052 (0.074) Loss 3.2957 (3.2100) Prec@1 28.125 (31.912) Prec@5 51.562 (57.105)
Epoch: [7][3010/5005] Time 0.192 (0.224) Data 0.044 (0.074) Loss 3.1516 (3.2101) Prec@1 29.297 (31.910) Prec@5 58.984 (57.107)
Epoch: [7][3020/5005] Time 0.197 (0.224) Data 0.050 (0.074) Loss 3.0312 (3.2101) Prec@1 32.031 (31.910) Prec@5 59.766 (57.107)
Epoch: [7][3030/5005] Time 0.200 (0.224) Data 0.043 (0.074) Loss 3.3265 (3.2101) Prec@1 32.422 (31.910) Prec@5 57.422 (57.111)
Epoch: [7][3040/5005] Time 0.330 (0.224) Data 0.249 (0.074) Loss 3.0864 (3.2101) Prec@1 32.812 (31.911) Prec@5 58.984 (57.111)
Epoch: [7][3050/5005] Time 0.202 (0.224) Data 0.048 (0.074) Loss 3.2400 (3.2102) Prec@1 29.297 (31.910) Prec@5 54.688 (57.109)
Epoch: [7][3060/5005] Time 0.198 (0.224) Data 0.050 (0.074) Loss 3.1157 (3.2100) Prec@1 32.422 (31.912) Prec@5 58.984 (57.114)
Epoch: [7][3070/5005] Time 0.215 (0.224) Data 0.042 (0.074) Loss 3.3571 (3.2102) Prec@1 28.906 (31.905) Prec@5 52.344 (57.108)
Epoch: [7][3080/5005] Time 0.199 (0.224) Data 0.048 (0.074) Loss 3.1744 (3.2101) Prec@1 30.469 (31.903) Prec@5 55.859 (57.106)
Epoch: [7][3090/5005] Time 0.207 (0.224) Data 0.051 (0.074) Loss 3.6294 (3.2101) Prec@1 22.656 (31.900) Prec@5 50.391 (57.103)
Epoch: [7][3100/5005] Time 0.186 (0.224) Data 0.062 (0.074) Loss 3.1964 (3.2101) Prec@1 33.594 (31.900) Prec@5 58.984 (57.104)
Epoch: [7][3110/5005] Time 0.215 (0.224) Data 0.042 (0.074) Loss 2.9162 (3.2099) Prec@1 34.375 (31.901) Prec@5 61.328 (57.108)
Epoch: [7][3120/5005] Time 0.201 (0.224) Data 0.043 (0.074) Loss 3.1616 (3.2099) Prec@1 31.641 (31.898) Prec@5 54.297 (57.104)
Epoch: [7][3130/5005] Time 0.625 (0.224) Data 0.539 (0.074) Loss 3.1463 (3.2098) Prec@1 33.984 (31.902) Prec@5 60.547 (57.109)
Epoch: [7][3140/5005] Time 0.206 (0.224) Data 0.045 (0.074) Loss 2.9477 (3.2094) Prec@1 39.844 (31.908) Prec@5 60.156 (57.116)
Epoch: [7][3150/5005] Time 0.203 (0.224) Data 0.041 (0.074) Loss 3.1296 (3.2093) Prec@1 36.719 (31.915) Prec@5 59.766 (57.120)
Epoch: [7][3160/5005] Time 0.203 (0.224) Data 0.047 (0.074) Loss 3.0550 (3.2093) Prec@1 35.938 (31.919) Prec@5 62.109 (57.124)
Epoch: [7][3170/5005] Time 0.202 (0.224) Data 0.043 (0.074) Loss 3.3095 (3.2093) Prec@1 33.203 (31.922) Prec@5 56.641 (57.122)
Epoch: [7][3180/5005] Time 0.193 (0.224) Data 0.052 (0.074) Loss 3.0281 (3.2092) Prec@1 37.109 (31.924) Prec@5 60.547 (57.125)
Epoch: [7][3190/5005] Time 0.207 (0.224) Data 0.044 (0.074) Loss 3.1928 (3.2092) Prec@1 34.375 (31.924) Prec@5 57.031 (57.129)
Epoch: [7][3200/5005] Time 0.222 (0.224) Data 0.046 (0.074) Loss 3.2430 (3.2092) Prec@1 27.344 (31.923) Prec@5 57.422 (57.129)
Epoch: [7][3210/5005] Time 0.205 (0.224) Data 0.045 (0.074) Loss 3.2470 (3.2091) Prec@1 32.031 (31.927) Prec@5 55.859 (57.134)
Epoch: [7][3220/5005] Time 0.197 (0.224) Data 0.045 (0.074) Loss 3.1522 (3.2091) Prec@1 32.812 (31.927) Prec@5 58.203 (57.135)
Epoch: [7][3230/5005] Time 0.208 (0.224) Data 0.060 (0.074) Loss 3.0421 (3.2089) Prec@1 33.203 (31.935) Prec@5 59.766 (57.137)
Epoch: [7][3240/5005] Time 0.193 (0.224) Data 0.043 (0.074) Loss 3.6740 (3.2093) Prec@1 23.047 (31.925) Prec@5 50.000 (57.132)
Epoch: [7][3250/5005] Time 0.204 (0.224) Data 0.043 (0.074) Loss 3.1385 (3.2094) Prec@1 34.375 (31.923) Prec@5 61.719 (57.133)
Epoch: [7][3260/5005] Time 0.206 (0.224) Data 0.040 (0.074) Loss 3.0800 (3.2095) Prec@1 38.672 (31.923) Prec@5 57.422 (57.132)
Epoch: [7][3270/5005] Time 0.198 (0.224) Data 0.100 (0.074) Loss 3.2727 (3.2094) Prec@1 36.328 (31.928) Prec@5 58.984 (57.134)
Epoch: [7][3280/5005] Time 0.205 (0.224) Data 0.090 (0.074) Loss 3.1759 (3.2095) Prec@1 31.250 (31.925) Prec@5 57.422 (57.132)
Epoch: [7][3290/5005] Time 0.204 (0.224) Data 0.049 (0.074) Loss 3.1453 (3.2094) Prec@1 36.328 (31.924) Prec@5 58.984 (57.135)
Epoch: [7][3300/5005] Time 0.218 (0.224) Data 0.051 (0.075) Loss 3.1844 (3.2092) Prec@1 32.812 (31.925) Prec@5 58.203 (57.133)
Epoch: [7][3310/5005] Time 0.206 (0.224) Data 0.045 (0.074) Loss 3.0006 (3.2091) Prec@1 34.375 (31.927) Prec@5 60.156 (57.134)
Epoch: [7][3320/5005] Time 0.348 (0.224) Data 0.268 (0.075) Loss 3.1767 (3.2090) Prec@1 33.594 (31.932) Prec@5 56.641 (57.134)
Epoch: [7][3330/5005] Time 0.207 (0.224) Data 0.046 (0.075) Loss 3.1763 (3.2090) Prec@1 33.594 (31.932) Prec@5 56.641 (57.138)
Epoch: [7][3340/5005] Time 0.203 (0.224) Data 0.039 (0.075) Loss 3.2365 (3.2090) Prec@1 32.031 (31.934) Prec@5 57.812 (57.141)
Epoch: [7][3350/5005] Time 0.194 (0.224) Data 0.046 (0.075) Loss 3.2911 (3.2090) Prec@1 31.250 (31.933) Prec@5 55.078 (57.138)
Epoch: [7][3360/5005] Time 0.201 (0.224) Data 0.049 (0.075) Loss 3.1226 (3.2089) Prec@1 37.109 (31.934) Prec@5 58.203 (57.141)
Epoch: [7][3370/5005] Time 0.202 (0.224) Data 0.046 (0.075) Loss 3.0917 (3.2088) Prec@1 33.984 (31.938) Prec@5 57.031 (57.140)
Epoch: [7][3380/5005] Time 0.202 (0.224) Data 0.082 (0.075) Loss 2.9918 (3.2086) Prec@1 36.328 (31.942) Prec@5 60.547 (57.143)
Epoch: [7][3390/5005] Time 0.206 (0.224) Data 0.044 (0.075) Loss 3.0716 (3.2087) Prec@1 35.938 (31.940) Prec@5 58.594 (57.139)
Epoch: [7][3400/5005] Time 0.204 (0.224) Data 0.047 (0.075) Loss 3.1094 (3.2088) Prec@1 32.812 (31.938) Prec@5 59.766 (57.141)
Epoch: [7][3410/5005] Time 0.200 (0.224) Data 0.045 (0.075) Loss 3.2503 (3.2088) Prec@1 30.078 (31.939) Prec@5 52.734 (57.140)
Epoch: [7][3420/5005] Time 0.415 (0.224) Data 0.332 (0.075) Loss 3.0777 (3.2087) Prec@1 32.812 (31.942) Prec@5 60.938 (57.144)
Epoch: [7][3430/5005] Time 0.197 (0.224) Data 0.054 (0.075) Loss 3.1216 (3.2087) Prec@1 35.547 (31.944) Prec@5 57.422 (57.146)
Epoch: [7][3440/5005] Time 0.204 (0.224) Data 0.054 (0.075) Loss 3.2791 (3.2086) Prec@1 29.297 (31.942) Prec@5 55.078 (57.146)
Epoch: [7][3450/5005] Time 0.203 (0.224) Data 0.044 (0.075) Loss 3.0444 (3.2085) Prec@1 33.984 (31.944) Prec@5 59.375 (57.147)
Epoch: [7][3460/5005] Time 0.212 (0.224) Data 0.041 (0.075) Loss 3.1851 (3.2086) Prec@1 30.078 (31.941) Prec@5 57.422 (57.145)
Epoch: [7][3470/5005] Time 0.205 (0.224) Data 0.044 (0.075) Loss 3.0368 (3.2085) Prec@1 35.156 (31.941) Prec@5 57.812 (57.146)
Epoch: [7][3480/5005] Time 0.204 (0.224) Data 0.125 (0.075) Loss 3.0606 (3.2083) Prec@1 35.547 (31.945) Prec@5 61.328 (57.153)
Epoch: [7][3490/5005] Time 0.203 (0.224) Data 0.039 (0.075) Loss 3.3128 (3.2084) Prec@1 26.953 (31.944) Prec@5 57.422 (57.154)
Epoch: [7][3500/5005] Time 0.402 (0.224) Data 0.313 (0.075) Loss 3.2464 (3.2085) Prec@1 31.250 (31.940) Prec@5 57.812 (57.154)
Epoch: [7][3510/5005] Time 0.207 (0.224) Data 0.041 (0.075) Loss 3.2091 (3.2083) Prec@1 31.250 (31.939) Prec@5 58.594 (57.156)
Epoch: [7][3520/5005] Time 0.214 (0.224) Data 0.042 (0.075) Loss 3.3897 (3.2085) Prec@1 30.859 (31.937) Prec@5 53.516 (57.153)
Epoch: [7][3530/5005] Time 0.203 (0.224) Data 0.040 (0.075) Loss 3.2029 (3.2083) Prec@1 32.031 (31.941) Prec@5 58.203 (57.158)
Epoch: [7][3540/5005] Time 0.211 (0.224) Data 0.046 (0.075) Loss 3.0157 (3.2080) Prec@1 37.500 (31.947) Prec@5 62.500 (57.163)
Epoch: [7][3550/5005] Time 0.206 (0.224) Data 0.050 (0.075) Loss 3.2223 (3.2078) Prec@1 29.688 (31.950) Prec@5 56.641 (57.165)
Epoch: [7][3560/5005] Time 0.201 (0.224) Data 0.045 (0.075) Loss 3.2903 (3.2077) Prec@1 31.250 (31.950) Prec@5 55.078 (57.168)
Epoch: [7][3570/5005] Time 0.207 (0.224) Data 0.042 (0.075) Loss 3.2873 (3.2077) Prec@1 33.203 (31.953) Prec@5 57.812 (57.169)
Epoch: [7][3580/5005] Time 0.258 (0.224) Data 0.175 (0.075) Loss 3.1396 (3.2079) Prec@1 34.766 (31.952) Prec@5 56.250 (57.168)
Epoch: [7][3590/5005] Time 0.267 (0.224) Data 0.175 (0.075) Loss 3.1954 (3.2076) Prec@1 29.297 (31.953) Prec@5 54.688 (57.172)
Epoch: [7][3600/5005] Time 0.208 (0.224) Data 0.047 (0.075) Loss 3.1402 (3.2074) Prec@1 30.859 (31.955) Prec@5 60.938 (57.175)
Epoch: [7][3610/5005] Time 0.204 (0.224) Data 0.043 (0.075) Loss 3.1876 (3.2075) Prec@1 30.859 (31.950) Prec@5 56.250 (57.173)
Epoch: [7][3620/5005] Time 0.205 (0.224) Data 0.044 (0.075) Loss 3.3778 (3.2072) Prec@1 25.781 (31.952) Prec@5 55.859 (57.178)
Epoch: [7][3630/5005] Time 0.212 (0.224) Data 0.046 (0.075) Loss 3.5029 (3.2072) Prec@1 28.906 (31.954) Prec@5 53.125 (57.181)
Epoch: [7][3640/5005] Time 0.205 (0.224) Data 0.046 (0.075) Loss 3.1837 (3.2070) Prec@1 30.469 (31.956) Prec@5 57.422 (57.181)
Epoch: [7][3650/5005] Time 0.202 (0.224) Data 0.050 (0.075) Loss 3.0490 (3.2070) Prec@1 33.594 (31.952) Prec@5 58.203 (57.181)
Epoch: [7][3660/5005] Time 0.200 (0.224) Data 0.048 (0.075) Loss 3.3274 (3.2069) Prec@1 29.688 (31.953) Prec@5 56.250 (57.183)
Epoch: [7][3670/5005] Time 0.215 (0.224) Data 0.131 (0.075) Loss 3.2433 (3.2068) Prec@1 31.250 (31.954) Prec@5 54.688 (57.185)
Epoch: [7][3680/5005] Time 0.201 (0.224) Data 0.054 (0.075) Loss 3.2431 (3.2070) Prec@1 31.641 (31.953) Prec@5 58.203 (57.180)
Epoch: [7][3690/5005] Time 0.202 (0.224) Data 0.044 (0.075) Loss 3.1443 (3.2069) Prec@1 32.422 (31.956) Prec@5 57.422 (57.183)
Epoch: [7][3700/5005] Time 0.204 (0.224) Data 0.039 (0.075) Loss 3.2698 (3.2069) Prec@1 28.125 (31.953) Prec@5 56.641 (57.182)
Epoch: [7][3710/5005] Time 0.199 (0.224) Data 0.086 (0.075) Loss 2.9640 (3.2069) Prec@1 36.328 (31.954) Prec@5 61.719 (57.185)
Epoch: [7][3720/5005] Time 0.197 (0.224) Data 0.049 (0.075) Loss 3.3775 (3.2069) Prec@1 32.031 (31.954) Prec@5 57.031 (57.185)
Epoch: [7][3730/5005] Time 0.206 (0.224) Data 0.047 (0.075) Loss 3.0098 (3.2068) Prec@1 33.594 (31.955) Prec@5 60.547 (57.188)
Epoch: [7][3740/5005] Time 0.254 (0.224) Data 0.162 (0.075) Loss 3.2046 (3.2064) Prec@1 34.375 (31.961) Prec@5 57.031 (57.195)
Epoch: [7][3750/5005] Time 0.202 (0.224) Data 0.048 (0.075) Loss 3.0907 (3.2066) Prec@1 32.031 (31.960) Prec@5 59.375 (57.196)
Epoch: [7][3760/5005] Time 0.202 (0.224) Data 0.050 (0.075) Loss 3.1828 (3.2066) Prec@1 32.422 (31.959) Prec@5 54.688 (57.192)
Epoch: [7][3770/5005] Time 0.202 (0.224) Data 0.045 (0.075) Loss 3.2645 (3.2065) Prec@1 29.297 (31.957) Prec@5 55.078 (57.191)
Epoch: [7][3780/5005] Time 0.201 (0.224) Data 0.042 (0.075) Loss 3.1190 (3.2063) Prec@1 33.203 (31.961) Prec@5 55.469 (57.194)
Epoch: [7][3790/5005] Time 0.204 (0.224) Data 0.059 (0.075) Loss 3.3090 (3.2063) Prec@1 32.812 (31.962) Prec@5 58.203 (57.195)
Epoch: [7][3800/5005] Time 0.198 (0.224) Data 0.042 (0.075) Loss 3.1425 (3.2064) Prec@1 32.422 (31.960) Prec@5 54.688 (57.193)
Epoch: [7][3810/5005] Time 0.199 (0.224) Data 0.049 (0.075) Loss 3.2270 (3.2065) Prec@1 26.953 (31.958) Prec@5 58.594 (57.190)
Epoch: [7][3820/5005] Time 0.241 (0.224) Data 0.154 (0.075) Loss 3.1241 (3.2064) Prec@1 32.422 (31.957) Prec@5 59.766 (57.193)
Epoch: [7][3830/5005] Time 0.201 (0.224) Data 0.054 (0.075) Loss 3.2806 (3.2063) Prec@1 30.078 (31.961) Prec@5 55.078 (57.193)
Epoch: [7][3840/5005] Time 0.295 (0.224) Data 0.212 (0.075) Loss 3.5184 (3.2063) Prec@1 26.172 (31.961) Prec@5 51.953 (57.192)
Epoch: [7][3850/5005] Time 0.201 (0.224) Data 0.049 (0.075) Loss 3.1766 (3.2062) Prec@1 31.641 (31.960) Prec@5 59.375 (57.195)
Epoch: [7][3860/5005] Time 0.335 (0.224) Data 0.246 (0.076) Loss 2.9426 (3.2061) Prec@1 35.938 (31.965) Prec@5 64.453 (57.202)
Epoch: [7][3870/5005] Time 0.191 (0.224) Data 0.046 (0.076) Loss 3.1227 (3.2061) Prec@1 33.203 (31.964) Prec@5 58.594 (57.200)
Epoch: [7][3880/5005] Time 0.200 (0.224) Data 0.042 (0.076) Loss 3.1820 (3.2062) Prec@1 31.641 (31.962) Prec@5 56.641 (57.199)
Epoch: [7][3890/5005] Time 0.201 (0.224) Data 0.047 (0.076) Loss 3.3738 (3.2061) Prec@1 29.688 (31.965) Prec@5 55.078 (57.199)
Epoch: [7][3900/5005] Time 0.198 (0.224) Data 0.046 (0.076) Loss 3.3783 (3.2062) Prec@1 28.516 (31.963) Prec@5 53.125 (57.199)
Epoch: [7][3910/5005] Time 0.208 (0.224) Data 0.045 (0.076) Loss 3.1023 (3.2062) Prec@1 32.812 (31.964) Prec@5 60.547 (57.200)
Epoch: [7][3920/5005] Time 0.204 (0.224) Data 0.056 (0.076) Loss 3.1573 (3.2061) Prec@1 33.984 (31.964) Prec@5 56.250 (57.203)
Epoch: [7][3930/5005] Time 0.199 (0.224) Data 0.057 (0.076) Loss 3.0533 (3.2059) Prec@1 34.766 (31.968) Prec@5 57.812 (57.205)
Epoch: [7][3940/5005] Time 0.196 (0.224) Data 0.052 (0.076) Loss 3.0930 (3.2058) Prec@1 35.156 (31.970) Prec@5 60.156 (57.208)
Epoch: [7][3950/5005] Time 0.206 (0.224) Data 0.041 (0.076) Loss 3.0082 (3.2057) Prec@1 33.594 (31.973) Prec@5 62.109 (57.211)
Epoch: [7][3960/5005] Time 0.598 (0.224) Data 0.509 (0.076) Loss 2.9744 (3.2056) Prec@1 33.203 (31.970) Prec@5 60.156 (57.213)
Epoch: [7][3970/5005] Time 0.199 (0.224) Data 0.045 (0.076) Loss 3.2739 (3.2057) Prec@1 31.250 (31.967) Prec@5 57.812 (57.211)
Epoch: [7][3980/5005] Time 0.205 (0.224) Data 0.043 (0.076) Loss 2.9510 (3.2056) Prec@1 39.062 (31.967) Prec@5 62.891 (57.212)
Epoch: [7][3990/5005] Time 0.207 (0.224) Data 0.042 (0.076) Loss 3.5174 (3.2056) Prec@1 30.859 (31.967) Prec@5 54.297 (57.212)
Epoch: [7][4000/5005] Time 0.194 (0.224) Data 0.046 (0.076) Loss 3.2316 (3.2056) Prec@1 32.031 (31.967) Prec@5 55.469 (57.213)
Epoch: [7][4010/5005] Time 0.197 (0.224) Data 0.097 (0.076) Loss 3.3028 (3.2055) Prec@1 30.859 (31.967) Prec@5 57.031 (57.216)
Epoch: [7][4020/5005] Time 0.209 (0.224) Data 0.085 (0.076) Loss 3.3411 (3.2055) Prec@1 31.641 (31.967) Prec@5 57.422 (57.215)
Epoch: [7][4030/5005] Time 0.203 (0.224) Data 0.082 (0.076) Loss 3.3749 (3.2056) Prec@1 30.859 (31.965) Prec@5 57.031 (57.212)
Epoch: [7][4040/5005] Time 0.190 (0.224) Data 0.060 (0.076) Loss 3.2083 (3.2058) Prec@1 30.078 (31.965) Prec@5 56.641 (57.209)
Epoch: [7][4050/5005] Time 0.216 (0.224) Data 0.044 (0.076) Loss 3.3814 (3.2057) Prec@1 29.297 (31.966) Prec@5 54.297 (57.210)
Epoch: [7][4060/5005] Time 0.200 (0.224) Data 0.088 (0.076) Loss 3.2453 (3.2058) Prec@1 30.078 (31.963) Prec@5 55.469 (57.210)
Epoch: [7][4070/5005] Time 0.210 (0.224) Data 0.047 (0.076) Loss 3.3602 (3.2058) Prec@1 32.812 (31.960) Prec@5 58.594 (57.210)
Epoch: [7][4080/5005] Time 0.213 (0.224) Data 0.042 (0.076) Loss 3.0723 (3.2058) Prec@1 32.422 (31.960) Prec@5 58.984 (57.210)
Epoch: [7][4090/5005] Time 0.285 (0.224) Data 0.202 (0.076) Loss 3.0976 (3.2058) Prec@1 31.641 (31.960) Prec@5 59.375 (57.210)
Epoch: [7][4100/5005] Time 0.209 (0.224) Data 0.045 (0.076) Loss 3.1428 (3.2058) Prec@1 33.203 (31.961) Prec@5 55.078 (57.210)
Epoch: [7][4110/5005] Time 0.207 (0.224) Data 0.041 (0.076) Loss 3.3553 (3.2057) Prec@1 30.078 (31.961) Prec@5 56.641 (57.213)
Epoch: [7][4120/5005] Time 0.220 (0.224) Data 0.043 (0.076) Loss 3.3063 (3.2056) Prec@1 30.859 (31.962) Prec@5 56.641 (57.215)
Epoch: [7][4130/5005] Time 0.202 (0.224) Data 0.038 (0.076) Loss 3.3921 (3.2056) Prec@1 30.469 (31.964) Prec@5 51.172 (57.214)
Epoch: [7][4140/5005] Time 0.200 (0.224) Data 0.061 (0.076) Loss 3.3693 (3.2056) Prec@1 30.859 (31.965) Prec@5 57.031 (57.216)
Epoch: [7][4150/5005] Time 0.201 (0.224) Data 0.045 (0.076) Loss 3.4265 (3.2057) Prec@1 28.125 (31.963) Prec@5 53.125 (57.215)
Epoch: [7][4160/5005] Time 0.191 (0.224) Data 0.051 (0.076) Loss 3.0746 (3.2059) Prec@1 32.422 (31.961) Prec@5 58.594 (57.213)
Epoch: [7][4170/5005] Time 0.429 (0.224) Data 0.342 (0.076) Loss 3.0060 (3.2057) Prec@1 30.859 (31.964) Prec@5 60.547 (57.216)
Epoch: [7][4180/5005] Time 0.197 (0.224) Data 0.055 (0.076) Loss 3.0271 (3.2057) Prec@1 34.375 (31.967) Prec@5 58.984 (57.218)
Epoch: [7][4190/5005] Time 0.202 (0.224) Data 0.061 (0.076) Loss 3.2084 (3.2058) Prec@1 30.859 (31.968) Prec@5 53.516 (57.214)
Epoch: [7][4200/5005] Time 0.197 (0.224) Data 0.049 (0.076) Loss 3.0269 (3.2057) Prec@1 32.031 (31.970) Prec@5 60.156 (57.217)
Epoch: [7][4210/5005] Time 0.420 (0.224) Data 0.335 (0.076) Loss 3.1095 (3.2056) Prec@1 33.984 (31.973) Prec@5 55.859 (57.216)
Epoch: [7][4220/5005] Time 0.198 (0.224) Data 0.045 (0.076) Loss 3.2576 (3.2056) Prec@1 32.031 (31.973) Prec@5 56.250 (57.215)
Epoch: [7][4230/5005] Time 0.204 (0.224) Data 0.043 (0.076) Loss 3.2592 (3.2056) Prec@1 33.203 (31.973) Prec@5 57.031 (57.213)
Epoch: [7][4240/5005] Time 0.213 (0.224) Data 0.042 (0.076) Loss 3.0131 (3.2057) Prec@1 32.812 (31.972) Prec@5 59.375 (57.213)
Epoch: [7][4250/5005] Time 0.209 (0.224) Data 0.049 (0.076) Loss 3.0346 (3.2055) Prec@1 35.547 (31.976) Prec@5 58.984 (57.216)
Epoch: [7][4260/5005] Time 0.201 (0.224) Data 0.046 (0.076) Loss 3.2527 (3.2054) Prec@1 31.250 (31.977) Prec@5 54.688 (57.215)
Epoch: [7][4270/5005] Time 0.208 (0.224) Data 0.045 (0.076) Loss 3.4571 (3.2056) Prec@1 26.562 (31.976) Prec@5 51.953 (57.213)
Epoch: [7][4280/5005] Time 0.196 (0.224) Data 0.051 (0.076) Loss 3.3075 (3.2056) Prec@1 28.125 (31.974) Prec@5 55.859 (57.214)
Epoch: [7][4290/5005] Time 0.216 (0.224) Data 0.124 (0.076) Loss 3.2952 (3.2055) Prec@1 36.328 (31.974) Prec@5 54.297 (57.213)
Epoch: [7][4300/5005] Time 0.203 (0.224) Data 0.048 (0.076) Loss 2.9625 (3.2054) Prec@1 37.109 (31.976) Prec@5 63.281 (57.217)
Epoch: [7][4310/5005] Time 0.203 (0.224) Data 0.049 (0.076) Loss 3.1802 (3.2053) Prec@1 32.031 (31.978) Prec@5 57.422 (57.219)
Epoch: [7][4320/5005] Time 0.204 (0.224) Data 0.043 (0.076) Loss 3.1736 (3.2054) Prec@1 34.375 (31.975) Prec@5 56.641 (57.217)
Epoch: [7][4330/5005] Time 0.204 (0.224) Data 0.044 (0.076) Loss 3.1200 (3.2054) Prec@1 32.422 (31.979) Prec@5 56.641 (57.215)
Epoch: [7][4340/5005] Time 0.204 (0.224) Data 0.046 (0.076) Loss 3.1958 (3.2054) Prec@1 32.812 (31.977) Prec@5 57.422 (57.212)
Epoch: [7][4350/5005] Time 0.220 (0.224) Data 0.042 (0.076) Loss 3.2052 (3.2053) Prec@1 33.203 (31.978) Prec@5 56.250 (57.216)
Epoch: [7][4360/5005] Time 0.199 (0.224) Data 0.047 (0.076) Loss 3.1531 (3.2053) Prec@1 31.641 (31.979) Prec@5 58.203 (57.217)
Epoch: [7][4370/5005] Time 0.191 (0.224) Data 0.046 (0.076) Loss 3.1157 (3.2052) Prec@1 32.812 (31.981) Prec@5 57.422 (57.218)
Epoch: [7][4380/5005] Time 0.197 (0.224) Data 0.045 (0.076) Loss 3.3191 (3.2052) Prec@1 32.031 (31.981) Prec@5 57.812 (57.221)
Epoch: [7][4390/5005] Time 0.270 (0.224) Data 0.191 (0.076) Loss 3.3660 (3.2050) Prec@1 29.688 (31.984) Prec@5 51.953 (57.225)
Epoch: [7][4400/5005] Time 0.198 (0.224) Data 0.043 (0.076) Loss 3.1953 (3.2050) Prec@1 28.516 (31.983) Prec@5 57.422 (57.225)
Epoch: [7][4410/5005] Time 0.205 (0.224) Data 0.040 (0.076) Loss 3.1739 (3.2049) Prec@1 29.688 (31.983) Prec@5 55.078 (57.226)
Epoch: [7][4420/5005] Time 0.211 (0.224) Data 0.042 (0.076) Loss 2.9040 (3.2049) Prec@1 38.281 (31.982) Prec@5 62.500 (57.225)
Epoch: [7][4430/5005] Time 0.211 (0.224) Data 0.048 (0.076) Loss 3.3465 (3.2046) Prec@1 30.859 (31.985) Prec@5 51.172 (57.228)
Epoch: [7][4440/5005] Time 0.215 (0.224) Data 0.051 (0.076) Loss 3.2604 (3.2045) Prec@1 31.641 (31.989) Prec@5 58.203 (57.232)
Epoch: [7][4450/5005] Time 0.198 (0.224) Data 0.046 (0.076) Loss 3.0399 (3.2044) Prec@1 35.938 (31.991) Prec@5 62.109 (57.232)
Epoch: [7][4460/5005] Time 0.214 (0.224) Data 0.131 (0.076) Loss 3.3569 (3.2043) Prec@1 31.641 (31.993) Prec@5 56.250 (57.234)
Epoch: [7][4470/5005] Time 0.340 (0.224) Data 0.256 (0.076) Loss 3.1932 (3.2045) Prec@1 29.688 (31.990) Prec@5 56.250 (57.232)
Epoch: [7][4480/5005] Time 0.303 (0.224) Data 0.219 (0.077) Loss 2.8924 (3.2045) Prec@1 39.062 (31.992) Prec@5 60.938 (57.231)
Epoch: [7][4490/5005] Time 0.199 (0.224) Data 0.050 (0.077) Loss 3.2010 (3.2045) Prec@1 30.078 (31.989) Prec@5 57.031 (57.228)
Epoch: [7][4500/5005] Time 0.197 (0.224) Data 0.046 (0.077) Loss 2.9845 (3.2044) Prec@1 37.891 (31.992) Prec@5 64.062 (57.230)
Epoch: [7][4510/5005] Time 0.202 (0.224) Data 0.047 (0.077) Loss 3.2174 (3.2044) Prec@1 30.078 (31.993) Prec@5 57.812 (57.230)
Epoch: [7][4520/5005] Time 0.196 (0.224) Data 0.051 (0.077) Loss 3.2318 (3.2042) Prec@1 30.078 (31.997) Prec@5 57.812 (57.234)
Epoch: [7][4530/5005] Time 0.386 (0.224) Data 0.305 (0.077) Loss 3.0502 (3.2041) Prec@1 34.766 (32.000) Prec@5 58.984 (57.235)
Epoch: [7][4540/5005] Time 0.336 (0.224) Data 0.248 (0.077) Loss 3.3983 (3.2043) Prec@1 29.297 (31.996) Prec@5 53.125 (57.231)
Epoch: [7][4550/5005] Time 0.200 (0.224) Data 0.042 (0.077) Loss 3.2981 (3.2043) Prec@1 33.594 (31.997) Prec@5 57.422 (57.234)
Epoch: [7][4560/5005] Time 0.200 (0.224) Data 0.050 (0.077) Loss 3.2973 (3.2042) Prec@1 30.859 (31.999) Prec@5 56.641 (57.235)
Epoch: [7][4570/5005] Time 0.198 (0.224) Data 0.050 (0.077) Loss 3.1981 (3.2041) Prec@1 36.719 (32.003) Prec@5 57.422 (57.236)
Epoch: [7][4580/5005] Time 0.200 (0.224) Data 0.053 (0.077) Loss 3.2524 (3.2041) Prec@1 25.391 (32.005) Prec@5 56.250 (57.237)
Epoch: [7][4590/5005] Time 0.198 (0.224) Data 0.049 (0.077) Loss 3.1059 (3.2041) Prec@1 33.984 (32.003) Prec@5 59.375 (57.236)
Epoch: [7][4600/5005] Time 0.195 (0.224) Data 0.047 (0.077) Loss 2.9382 (3.2041) Prec@1 35.156 (32.003) Prec@5 61.328 (57.235)
Epoch: [7][4610/5005] Time 0.201 (0.224) Data 0.047 (0.077) Loss 3.0901 (3.2040) Prec@1 28.125 (32.002) Prec@5 60.547 (57.237)
Epoch: [7][4620/5005] Time 0.193 (0.224) Data 0.057 (0.077) Loss 3.0062 (3.2039) Prec@1 35.156 (32.003) Prec@5 60.156 (57.237)
Epoch: [7][4630/5005] Time 0.208 (0.224) Data 0.047 (0.077) Loss 2.9605 (3.2038) Prec@1 36.328 (32.004) Prec@5 65.234 (57.242)
Epoch: [7][4640/5005] Time 0.207 (0.224) Data 0.042 (0.077) Loss 3.2306 (3.2037) Prec@1 32.422 (32.005) Prec@5 58.594 (57.242)
Epoch: [7][4650/5005] Time 0.233 (0.224) Data 0.147 (0.077) Loss 3.1070 (3.2037) Prec@1 34.375 (32.007) Prec@5 57.812 (57.241)
Epoch: [7][4660/5005] Time 0.304 (0.224) Data 0.223 (0.077) Loss 3.4530 (3.2038) Prec@1 31.250 (32.009) Prec@5 50.391 (57.238)
Epoch: [7][4670/5005] Time 0.191 (0.224) Data 0.043 (0.077) Loss 3.0466 (3.2036) Prec@1 36.719 (32.013) Prec@5 62.109 (57.242)
Epoch: [7][4680/5005] Time 0.201 (0.224) Data 0.059 (0.077) Loss 3.0007 (3.2035) Prec@1 32.422 (32.013) Prec@5 61.719 (57.241)
Epoch: [7][4690/5005] Time 0.202 (0.224) Data 0.043 (0.077) Loss 3.2380 (3.2035) Prec@1 30.078 (32.012) Prec@5 56.641 (57.241)
Epoch: [7][4700/5005] Time 0.205 (0.224) Data 0.046 (0.077) Loss 3.1037 (3.2035) Prec@1 31.641 (32.013) Prec@5 62.500 (57.242)
Epoch: [7][4710/5005] Time 0.204 (0.224) Data 0.045 (0.077) Loss 3.0541 (3.2033) Prec@1 32.031 (32.020) Prec@5 59.375 (57.245)
Epoch: [7][4720/5005] Time 0.201 (0.224) Data 0.112 (0.077) Loss 3.0918 (3.2034) Prec@1 38.672 (32.019) Prec@5 57.812 (57.243)
Epoch: [7][4730/5005] Time 0.206 (0.224) Data 0.048 (0.077) Loss 3.0674 (3.2035) Prec@1 31.641 (32.017) Prec@5 61.719 (57.240)
Epoch: [7][4740/5005] Time 0.198 (0.224) Data 0.047 (0.077) Loss 3.1953 (3.2035) Prec@1 26.172 (32.018) Prec@5 57.031 (57.242)
Epoch: [7][4750/5005] Time 0.206 (0.224) Data 0.044 (0.077) Loss 3.2055 (3.2035) Prec@1 33.203 (32.020) Prec@5 54.688 (57.240)
Epoch: [7][4760/5005] Time 0.206 (0.224) Data 0.049 (0.077) Loss 3.3514 (3.2033) Prec@1 26.953 (32.021) Prec@5 52.344 (57.242)
Epoch: [7][4770/5005] Time 0.199 (0.224) Data 0.045 (0.077) Loss 3.1025 (3.2033) Prec@1 36.328 (32.021) Prec@5 60.156 (57.241)
Epoch: [7][4780/5005] Time 0.188 (0.224) Data 0.059 (0.077) Loss 3.2167 (3.2033) Prec@1 29.688 (32.022) Prec@5 58.203 (57.242)
Epoch: [7][4790/5005] Time 0.199 (0.224) Data 0.048 (0.077) Loss 3.3463 (3.2032) Prec@1 33.594 (32.026) Prec@5 54.688 (57.246)
Epoch: [7][4800/5005] Time 0.199 (0.224) Data 0.048 (0.077) Loss 3.3685 (3.2032) Prec@1 27.344 (32.025) Prec@5 56.250 (57.247)
Epoch: [7][4810/5005] Time 0.204 (0.224) Data 0.039 (0.077) Loss 3.3170 (3.2031) Prec@1 30.859 (32.027) Prec@5 58.594 (57.248)
Epoch: [7][4820/5005] Time 0.237 (0.224) Data 0.157 (0.077) Loss 3.3199 (3.2030) Prec@1 34.375 (32.027) Prec@5 51.953 (57.250)
Epoch: [7][4830/5005] Time 0.201 (0.224) Data 0.044 (0.077) Loss 2.9964 (3.2027) Prec@1 35.547 (32.032) Prec@5 62.109 (57.255)
Epoch: [7][4840/5005] Time 0.206 (0.224) Data 0.054 (0.077) Loss 2.8837 (3.2028) Prec@1 38.672 (32.031) Prec@5 60.156 (57.253)
Epoch: [7][4850/5005] Time 0.203 (0.224) Data 0.040 (0.077) Loss 3.3613 (3.2030) Prec@1 28.516 (32.029) Prec@5 52.734 (57.249)
Epoch: [7][4860/5005] Time 0.266 (0.224) Data 0.176 (0.077) Loss 3.2983 (3.2028) Prec@1 30.469 (32.032) Prec@5 58.203 (57.250)
Epoch: [7][4870/5005] Time 0.316 (0.224) Data 0.232 (0.077) Loss 3.1096 (3.2029) Prec@1 35.547 (32.032) Prec@5 56.641 (57.250)
Epoch: [7][4880/5005] Time 0.202 (0.224) Data 0.042 (0.077) Loss 3.0396 (3.2029) Prec@1 30.859 (32.031) Prec@5 60.547 (57.250)
Epoch: [7][4890/5005] Time 0.205 (0.224) Data 0.040 (0.077) Loss 3.1107 (3.2029) Prec@1 31.641 (32.030) Prec@5 58.594 (57.247)
Epoch: [7][4900/5005] Time 0.209 (0.224) Data 0.043 (0.077) Loss 3.0505 (3.2028) Prec@1 33.984 (32.034) Prec@5 58.203 (57.251)
Epoch: [7][4910/5005] Time 0.207 (0.224) Data 0.044 (0.077) Loss 3.2685 (3.2026) Prec@1 31.250 (32.035) Prec@5 57.812 (57.254)
Epoch: [7][4920/5005] Time 0.204 (0.224) Data 0.051 (0.077) Loss 3.1436 (3.2026) Prec@1 28.906 (32.034) Prec@5 58.203 (57.252)
Epoch: [7][4930/5005] Time 0.188 (0.224) Data 0.045 (0.077) Loss 3.2743 (3.2025) Prec@1 29.688 (32.034) Prec@5 53.125 (57.253)
Epoch: [7][4940/5005] Time 0.208 (0.224) Data 0.042 (0.077) Loss 3.2531 (3.2026) Prec@1 29.297 (32.033) Prec@5 53.906 (57.251)
Epoch: [7][4950/5005] Time 0.203 (0.224) Data 0.048 (0.077) Loss 2.8241 (3.2026) Prec@1 37.109 (32.034) Prec@5 62.500 (57.251)
Epoch: [7][4960/5005] Time 0.202 (0.224) Data 0.044 (0.077) Loss 3.2974 (3.2025) Prec@1 31.641 (32.036) Prec@5 58.984 (57.253)
Epoch: [7][4970/5005] Time 0.198 (0.224) Data 0.040 (0.077) Loss 3.3358 (3.2025) Prec@1 29.688 (32.035) Prec@5 53.516 (57.252)
Epoch: [7][4980/5005] Time 0.211 (0.224) Data 0.042 (0.077) Loss 3.3195 (3.2023) Prec@1 28.906 (32.035) Prec@5 53.125 (57.254)
Epoch: [7][4990/5005] Time 0.274 (0.224) Data 0.193 (0.077) Loss 3.2474 (3.2021) Prec@1 28.125 (32.039) Prec@5 53.125 (57.257)
Epoch: [7][5000/5005] Time 0.207 (0.224) Data 0.025 (0.077) Loss 3.2415 (3.2021) Prec@1 31.641 (32.036) Prec@5 56.250 (57.255)
Test: [0/196] Time 2.580 (2.580) Loss 3.2201 (3.2201) Prec@1 34.766 (34.766) Prec@5 56.641 (56.641)
Test: [10/196] Time 0.299 (0.402) Loss 3.2914 (3.3073) Prec@1 35.156 (30.149) Prec@5 54.688 (55.646)
Test: [20/196] Time 0.042 (0.290) Loss 3.2952 (3.3296) Prec@1 30.469 (29.855) Prec@5 55.859 (55.078)
Test: [30/196] Time 0.100 (0.260) Loss 3.2696 (3.3379) Prec@1 33.594 (29.990) Prec@5 57.422 (54.927)
Test: [40/196] Time 0.828 (0.267) Loss 3.1356 (3.3346) Prec@1 33.984 (30.459) Prec@5 58.984 (54.926)
Test: [50/196] Time 0.323 (0.263) Loss 3.4360 (3.3427) Prec@1 28.906 (30.492) Prec@5 55.078 (54.772)
Test: [60/196] Time 0.042 (0.249) Loss 3.1255 (3.3292) Prec@1 36.719 (30.757) Prec@5 56.641 (55.040)
Test: [70/196] Time 0.047 (0.244) Loss 3.2949 (3.3237) Prec@1 34.766 (30.755) Prec@5 57.422 (55.216)
Test: [80/196] Time 0.642 (0.246) Loss 3.1163 (3.3303) Prec@1 35.547 (30.618) Prec@5 60.156 (55.117)
Test: [90/196] Time 0.649 (0.244) Loss 3.3249 (3.3318) Prec@1 32.031 (30.469) Prec@5 57.422 (55.057)
Test: [100/196] Time 0.042 (0.243) Loss 3.3710 (3.3299) Prec@1 31.250 (30.511) Prec@5 57.031 (55.082)
Test: [110/196] Time 0.042 (0.240) Loss 3.5249 (3.3312) Prec@1 27.344 (30.493) Prec@5 52.734 (55.103)
Test: [120/196] Time 0.044 (0.236) Loss 3.1705 (3.3302) Prec@1 28.516 (30.472) Prec@5 60.156 (55.101)
Test: [130/196] Time 0.951 (0.239) Loss 2.9235 (3.3266) Prec@1 33.203 (30.508) Prec@5 63.281 (55.233)
Test: [140/196] Time 0.246 (0.237) Loss 3.1253 (3.3280) Prec@1 34.375 (30.491) Prec@5 55.469 (55.181)
Test: [150/196] Time 0.047 (0.236) Loss 3.1328 (3.3238) Prec@1 29.688 (30.567) Prec@5 58.203 (55.267)
Test: [160/196] Time 0.042 (0.233) Loss 3.2873 (3.3210) Prec@1 32.812 (30.592) Prec@5 57.031 (55.253)
Test: [170/196] Time 0.627 (0.234) Loss 3.1307 (3.3225) Prec@1 34.766 (30.642) Prec@5 58.203 (55.208)
Test: [180/196] Time 0.554 (0.236) Loss 3.4830 (3.3275) Prec@1 29.297 (30.603) Prec@5 53.516 (55.134)
Test: [190/196] Time 0.055 (0.233) Loss 3.5396 (3.3301) Prec@1 28.516 (30.581) Prec@5 53.125 (55.082)
* Prec@1 30.592 Prec@5 55.120
Learning rate: 0.001
Epoch: [8][0/5005] Time 2.021 (2.021) Data 1.912 (1.912) Loss 3.0329 (3.0329) Prec@1 31.641 (31.641) Prec@5 60.547 (60.547)
Epoch: [8][10/5005] Time 0.198 (0.386) Data 0.044 (0.243) Loss 3.0400 (3.1532) Prec@1 36.328 (31.960) Prec@5 63.672 (58.700)
Epoch: [8][20/5005] Time 0.206 (0.298) Data 0.043 (0.148) Loss 3.2585 (3.1661) Prec@1 31.641 (31.938) Prec@5 57.812 (58.389)
Epoch: [8][30/5005] Time 0.199 (0.267) Data 0.053 (0.115) Loss 3.2355 (3.1472) Prec@1 32.422 (32.384) Prec@5 54.688 (58.732)
Epoch: [8][40/5005] Time 0.195 (0.251) Data 0.048 (0.099) Loss 3.1302 (3.1561) Prec@1 32.812 (32.384) Prec@5 60.938 (58.394)
Epoch: [8][50/5005] Time 0.195 (0.249) Data 0.048 (0.089) Loss 3.1015 (3.1516) Prec@1 31.641 (32.491) Prec@5 59.766 (58.418)
Epoch: [8][60/5005] Time 0.203 (0.241) Data 0.048 (0.082) Loss 3.1025 (3.1506) Prec@1 32.031 (32.441) Prec@5 64.453 (58.370)
Epoch: [8][70/5005] Time 0.199 (0.236) Data 0.041 (0.077) Loss 3.1179 (3.1646) Prec@1 34.375 (32.317) Prec@5 59.766 (58.027)
Epoch: [8][80/5005] Time 0.201 (0.232) Data 0.048 (0.073) Loss 3.0396 (3.1635) Prec@1 34.375 (32.301) Prec@5 63.281 (57.890)
Epoch: [8][90/5005] Time 0.196 (0.228) Data 0.045 (0.070) Loss 3.0971 (3.1612) Prec@1 32.031 (32.413) Prec@5 58.984 (57.958)
Epoch: [8][100/5005] Time 0.194 (0.226) Data 0.045 (0.068) Loss 3.0703 (3.1669) Prec@1 32.812 (32.441) Prec@5 59.766 (57.832)
Epoch: [8][110/5005] Time 0.201 (0.223) Data 0.042 (0.066) Loss 3.0988 (3.1673) Prec@1 33.984 (32.492) Prec@5 60.547 (57.893)
Epoch: [8][120/5005] Time 0.199 (0.221) Data 0.041 (0.064) Loss 3.1949 (3.1691) Prec@1 30.859 (32.470) Prec@5 58.594 (57.842)
Epoch: [8][130/5005] Time 0.194 (0.220) Data 0.040 (0.064) Loss 3.1771 (3.1687) Prec@1 36.328 (32.610) Prec@5 57.422 (57.890)
Epoch: [8][140/5005] Time 0.198 (0.226) Data 0.047 (0.063) Loss 3.2022 (3.1692) Prec@1 31.641 (32.552) Prec@5 58.203 (57.876)
Epoch: [8][150/5005] Time 0.200 (0.224) Data 0.084 (0.062) Loss 3.4371 (3.1737) Prec@1 33.203 (32.487) Prec@5 58.203 (57.846)
Epoch: [8][160/5005] Time 0.202 (0.225) Data 0.044 (0.064) Loss 3.1869 (3.1758) Prec@1 31.641 (32.453) Prec@5 54.297 (57.820)
Epoch: [8][170/5005] Time 0.212 (0.224) Data 0.127 (0.065) Loss 3.3301 (3.1778) Prec@1 30.859 (32.431) Prec@5 56.641 (57.797)
Epoch: [8][180/5005] Time 0.203 (0.224) Data 0.105 (0.067) Loss 3.3784 (3.1791) Prec@1 28.906 (32.433) Prec@5 52.734 (57.823)
Epoch: [8][190/5005] Time 0.213 (0.226) Data 0.051 (0.070) Loss 3.4151 (3.1855) Prec@1 28.906 (32.309) Prec@5 54.688 (57.686)
Epoch: [8][200/5005] Time 0.206 (0.227) Data 0.119 (0.071) Loss 3.2994 (3.1840) Prec@1 29.297 (32.307) Prec@5 54.688 (57.725)
Epoch: [8][210/5005] Time 0.213 (0.227) Data 0.048 (0.072) Loss 3.1386 (3.1831) Prec@1 35.156 (32.300) Prec@5 58.203 (57.713)
Epoch: [8][220/5005] Time 0.209 (0.228) Data 0.045 (0.073) Loss 3.2408 (3.1834) Prec@1 31.641 (32.312) Prec@5 55.469 (57.710)
Epoch: [8][230/5005] Time 0.208 (0.228) Data 0.045 (0.074) Loss 3.0962 (3.1828) Prec@1 35.547 (32.315) Prec@5 57.422 (57.711)
Epoch: [8][240/5005] Time 0.206 (0.228) Data 0.050 (0.075) Loss 3.0217 (3.1837) Prec@1 37.109 (32.276) Prec@5 61.328 (57.671)
Epoch: [8][250/5005] Time 0.199 (0.229) Data 0.114 (0.077) Loss 3.3171 (3.1829) Prec@1 29.688 (32.291) Prec@5 55.859 (57.716)
Epoch: [8][260/5005] Time 0.219 (0.229) Data 0.047 (0.078) Loss 3.0487 (3.1809) Prec@1 34.375 (32.308) Prec@5 57.812 (57.759)
Epoch: [8][270/5005] Time 0.213 (0.229) Data 0.051 (0.078) Loss 3.1313 (3.1781) Prec@1 35.938 (32.371) Prec@5 58.203 (57.808)
Epoch: [8][280/5005] Time 0.203 (0.230) Data 0.094 (0.080) Loss 3.5771 (3.1814) Prec@1 27.344 (32.301) Prec@5 50.000 (57.744)
Epoch: [8][290/5005] Time 0.217 (0.231) Data 0.050 (0.081) Loss 3.0125 (3.1817) Prec@1 36.328 (32.288) Prec@5 58.984 (57.729)
Epoch: [8][300/5005] Time 0.209 (0.231) Data 0.042 (0.081) Loss 2.9606 (3.1808) Prec@1 37.500 (32.347) Prec@5 60.938 (57.745)
Epoch: [8][310/5005] Time 0.205 (0.231) Data 0.040 (0.082) Loss 3.0339 (3.1762) Prec@1 33.594 (32.423) Prec@5 60.938 (57.845)
Epoch: [8][320/5005] Time 0.201 (0.232) Data 0.045 (0.083) Loss 3.3655 (3.1765) Prec@1 30.469 (32.406) Prec@5 51.562 (57.858)
Epoch: [8][330/5005] Time 0.633 (0.233) Data 0.553 (0.085) Loss 2.9449 (3.1739) Prec@1 35.938 (32.442) Prec@5 63.281 (57.888)
Epoch: [8][340/5005] Time 0.195 (0.233) Data 0.054 (0.085) Loss 3.3055 (3.1771) Prec@1 31.641 (32.424) Prec@5 54.688 (57.811)
Epoch: [8][350/5005] Time 0.209 (0.233) Data 0.050 (0.085) Loss 3.3150 (3.1762) Prec@1 32.031 (32.444) Prec@5 55.078 (57.811)
Epoch: [8][360/5005] Time 0.205 (0.233) Data 0.042 (0.084) Loss 3.3341 (3.1772) Prec@1 29.688 (32.455) Prec@5 52.344 (57.774)
Epoch: [8][370/5005] Time 0.218 (0.232) Data 0.041 (0.083) Loss 3.2285 (3.1764) Prec@1 32.812 (32.460) Prec@5 56.641 (57.803)
Epoch: [8][380/5005] Time 0.212 (0.232) Data 0.039 (0.082) Loss 3.2671 (3.1768) Prec@1 30.859 (32.452) Prec@5 57.812 (57.796)
Epoch: [8][390/5005] Time 0.215 (0.231) Data 0.048 (0.081) Loss 3.1176 (3.1774) Prec@1 37.109 (32.446) Prec@5 60.156 (57.778)
Epoch: [8][400/5005] Time 0.204 (0.231) Data 0.041 (0.080) Loss 3.1105 (3.1759) Prec@1 33.984 (32.442) Prec@5 58.203 (57.791)
Epoch: [8][410/5005] Time 0.210 (0.230) Data 0.040 (0.079) Loss 3.0431 (3.1759) Prec@1 33.984 (32.430) Prec@5 60.547 (57.809)
Epoch: [8][420/5005] Time 0.210 (0.230) Data 0.048 (0.078) Loss 3.2869 (3.1755) Prec@1 31.250 (32.440) Prec@5 57.422 (57.833)
Epoch: [8][430/5005] Time 0.205 (0.230) Data 0.043 (0.078) Loss 3.0407 (3.1756) Prec@1 35.547 (32.457) Prec@5 61.719 (57.826)
Epoch: [8][440/5005] Time 0.213 (0.229) Data 0.052 (0.077) Loss 2.9744 (3.1753) Prec@1 38.672 (32.446) Prec@5 60.547 (57.827)
Epoch: [8][450/5005] Time 0.209 (0.229) Data 0.050 (0.076) Loss 3.0246 (3.1748) Prec@1 30.469 (32.438) Prec@5 59.766 (57.819)
Epoch: [8][460/5005] Time 0.204 (0.228) Data 0.057 (0.076) Loss 3.2525 (3.1743) Prec@1 31.641 (32.438) Prec@5 54.688 (57.836)
Epoch: [8][470/5005] Time 0.209 (0.228) Data 0.057 (0.075) Loss 3.2277 (3.1757) Prec@1 30.078 (32.424) Prec@5 55.078 (57.812)
Epoch: [8][480/5005] Time 0.207 (0.228) Data 0.050 (0.075) Loss 3.2319 (3.1757) Prec@1 31.250 (32.424) Prec@5 56.641 (57.808)
Epoch: [8][490/5005] Time 0.209 (0.228) Data 0.045 (0.074) Loss 3.0088 (3.1763) Prec@1 36.328 (32.427) Prec@5 61.719 (57.806)
Epoch: [8][500/5005] Time 0.198 (0.228) Data 0.052 (0.074) Loss 3.2343 (3.1778) Prec@1 33.984 (32.409) Prec@5 57.422 (57.788)
Epoch: [8][510/5005] Time 0.216 (0.228) Data 0.047 (0.073) Loss 3.4047 (3.1789) Prec@1 28.125 (32.396) Prec@5 55.859 (57.769)
Epoch: [8][520/5005] Time 0.207 (0.227) Data 0.042 (0.073) Loss 3.2662 (3.1787) Prec@1 26.562 (32.411) Prec@5 56.641 (57.764)
Epoch: [8][530/5005] Time 0.210 (0.227) Data 0.042 (0.072) Loss 3.0324 (3.1782) Prec@1 32.812 (32.414) Prec@5 59.766 (57.760)
Epoch: [8][540/5005] Time 0.211 (0.227) Data 0.045 (0.072) Loss 3.3797 (3.1789) Prec@1 31.250 (32.407) Prec@5 53.906 (57.749)
Epoch: [8][550/5005] Time 0.205 (0.226) Data 0.039 (0.071) Loss 3.0929 (3.1782) Prec@1 35.938 (32.428) Prec@5 60.547 (57.749)
Epoch: [8][560/5005] Time 0.214 (0.226) Data 0.044 (0.071) Loss 3.2534 (3.1780) Prec@1 33.594 (32.441) Prec@5 58.594 (57.750)
Epoch: [8][570/5005] Time 0.218 (0.226) Data 0.043 (0.070) Loss 3.0858 (3.1779) Prec@1 35.938 (32.440) Prec@5 58.984 (57.738)
Epoch: [8][580/5005] Time 0.211 (0.226) Data 0.040 (0.070) Loss 3.2104 (3.1772) Prec@1 30.859 (32.456) Prec@5 58.203 (57.747)
Epoch: [8][590/5005] Time 0.211 (0.225) Data 0.039 (0.069) Loss 3.3202 (3.1769) Prec@1 32.031 (32.475) Prec@5 52.344 (57.733)
Epoch: [8][600/5005] Time 0.206 (0.225) Data 0.041 (0.069) Loss 3.1604 (3.1780) Prec@1 29.297 (32.451) Prec@5 58.594 (57.714)
Epoch: [8][610/5005] Time 0.210 (0.225) Data 0.041 (0.068) Loss 3.0569 (3.1775) Prec@1 35.156 (32.459) Prec@5 59.766 (57.724)
Epoch: [8][620/5005] Time 0.210 (0.225) Data 0.042 (0.068) Loss 3.1120 (3.1765) Prec@1 35.547 (32.482) Prec@5 59.766 (57.737)
Epoch: [8][630/5005] Time 0.215 (0.225) Data 0.043 (0.067) Loss 3.2522 (3.1762) Prec@1 35.547 (32.513) Prec@5 56.250 (57.736)
Epoch: [8][640/5005] Time 0.214 (0.224) Data 0.042 (0.067) Loss 3.0185 (3.1764) Prec@1 33.203 (32.519) Prec@5 62.109 (57.733)
Epoch: [8][650/5005] Time 0.214 (0.224) Data 0.043 (0.067) Loss 3.3689 (3.1774) Prec@1 32.422 (32.511) Prec@5 58.203 (57.710)
Epoch: [8][660/5005] Time 0.214 (0.224) Data 0.042 (0.066) Loss 3.2717 (3.1762) Prec@1 30.078 (32.526) Prec@5 55.859 (57.745)
Epoch: [8][670/5005] Time 0.216 (0.224) Data 0.043 (0.066) Loss 3.3858 (3.1761) Prec@1 30.859 (32.528) Prec@5 56.250 (57.755)
Epoch: [8][680/5005] Time 0.209 (0.224) Data 0.049 (0.066) Loss 3.1845 (3.1762) Prec@1 30.859 (32.517) Prec@5 54.297 (57.746)
Epoch: [8][690/5005] Time 0.218 (0.224) Data 0.043 (0.065) Loss 3.0649 (3.1763) Prec@1 32.812 (32.512) Prec@5 60.938 (57.741)
Epoch: [8][700/5005] Time 0.211 (0.223) Data 0.042 (0.065) Loss 3.1378 (3.1757) Prec@1 35.156 (32.533) Prec@5 56.641 (57.745)
Epoch: [8][710/5005] Time 0.211 (0.223) Data 0.040 (0.065) Loss 2.9783 (3.1750) Prec@1 34.766 (32.548) Prec@5 58.984 (57.758)
Epoch: [8][720/5005] Time 0.206 (0.223) Data 0.038 (0.065) Loss 2.9772 (3.1741) Prec@1 37.109 (32.568) Prec@5 61.719 (57.777)
Epoch: [8][730/5005] Time 0.210 (0.223) Data 0.040 (0.064) Loss 3.3438 (3.1746) Prec@1 30.078 (32.576) Prec@5 57.812 (57.787)
Epoch: [8][740/5005] Time 0.208 (0.223) Data 0.064 (0.064) Loss 3.2740 (3.1747) Prec@1 30.469 (32.594) Prec@5 57.031 (57.781)
Epoch: [8][750/5005] Time 0.210 (0.223) Data 0.043 (0.064) Loss 3.0764 (3.1742) Prec@1 32.422 (32.604) Prec@5 61.328 (57.802)
Epoch: [8][760/5005] Time 0.212 (0.222) Data 0.042 (0.064) Loss 3.3398 (3.1751) Prec@1 28.516 (32.590) Prec@5 57.031 (57.780)
Epoch: [8][770/5005] Time 0.207 (0.222) Data 0.045 (0.063) Loss 3.2041 (3.1742) Prec@1 30.078 (32.607) Prec@5 51.953 (57.791)
Epoch: [8][780/5005] Time 0.200 (0.223) Data 0.052 (0.063) Loss 3.2474 (3.1738) Prec@1 31.250 (32.620) Prec@5 58.203 (57.804)
Epoch: [8][790/5005] Time 0.200 (0.222) Data 0.048 (0.063) Loss 3.0300 (3.1734) Prec@1 34.766 (32.634) Prec@5 61.719 (57.818)
Epoch: [8][800/5005] Time 0.214 (0.222) Data 0.043 (0.063) Loss 3.1142 (3.1723) Prec@1 35.547 (32.647) Prec@5 57.812 (57.842)
Epoch: [8][810/5005] Time 0.212 (0.222) Data 0.048 (0.063) Loss 3.2679 (3.1730) Prec@1 30.859 (32.622) Prec@5 53.125 (57.837)
Epoch: [8][820/5005] Time 0.210 (0.222) Data 0.044 (0.062) Loss 3.3862 (3.1736) Prec@1 33.984 (32.606) Prec@5 51.562 (57.821)
Epoch: [8][830/5005] Time 0.415 (0.222) Data 0.327 (0.063) Loss 3.1923 (3.1737) Prec@1 36.328 (32.601) Prec@5 57.812 (57.825)
Epoch: [8][840/5005] Time 0.201 (0.222) Data 0.055 (0.063) Loss 3.0590 (3.1738) Prec@1 33.984 (32.596) Prec@5 61.719 (57.836)
Epoch: [8][850/5005] Time 0.202 (0.222) Data 0.046 (0.063) Loss 3.3628 (3.1734) Prec@1 29.297 (32.601) Prec@5 55.859 (57.844)
Epoch: [8][860/5005] Time 0.316 (0.222) Data 0.233 (0.064) Loss 3.2473 (3.1734) Prec@1 31.250 (32.599) Prec@5 58.594 (57.846)
Epoch: [8][870/5005] Time 0.271 (0.222) Data 0.183 (0.064) Loss 3.1778 (3.1724) Prec@1 29.688 (32.603) Prec@5 58.984 (57.865)
Epoch: [8][880/5005] Time 0.202 (0.222) Data 0.046 (0.064) Loss 3.0525 (3.1725) Prec@1 32.812 (32.610) Prec@5 59.766 (57.864)
Epoch: [8][890/5005] Time 0.205 (0.223) Data 0.046 (0.065) Loss 3.4070 (3.1724) Prec@1 30.469 (32.613) Prec@5 54.297 (57.863)
Epoch: [8][900/5005] Time 0.194 (0.222) Data 0.048 (0.065) Loss 3.0938 (3.1721) Prec@1 33.203 (32.601) Prec@5 58.984 (57.868)
Epoch: [8][910/5005] Time 0.265 (0.223) Data 0.180 (0.065) Loss 3.0461 (3.1718) Prec@1 32.031 (32.597) Prec@5 60.938 (57.865)
Epoch: [8][920/5005] Time 0.207 (0.222) Data 0.053 (0.065) Loss 3.2098 (3.1714) Prec@1 32.031 (32.597) Prec@5 57.031 (57.867)
Epoch: [8][930/5005] Time 0.204 (0.223) Data 0.039 (0.066) Loss 3.0392 (3.1711) Prec@1 36.719 (32.610) Prec@5 57.812 (57.868)
Epoch: [8][940/5005] Time 0.199 (0.224) Data 0.040 (0.067) Loss 3.0370 (3.1713) Prec@1 34.766 (32.615) Prec@5 62.891 (57.870)
Epoch: [8][950/5005] Time 0.217 (0.224) Data 0.047 (0.068) Loss 3.3411 (3.1720) Prec@1 27.734 (32.606) Prec@5 58.594 (57.867)
Epoch: [8][960/5005] Time 0.340 (0.224) Data 0.258 (0.068) Loss 3.4267 (3.1721) Prec@1 29.297 (32.602) Prec@5 53.906 (57.867)
Epoch: [8][970/5005] Time 0.193 (0.225) Data 0.048 (0.069) Loss 3.0189 (3.1720) Prec@1 37.500 (32.615) Prec@5 58.203 (57.866)
Epoch: [8][980/5005] Time 0.204 (0.225) Data 0.073 (0.069) Loss 3.1576 (3.1716) Prec@1 34.766 (32.624) Prec@5 56.641 (57.872)
Epoch: [8][990/5005] Time 0.206 (0.225) Data 0.046 (0.069) Loss 3.1203 (3.1721) Prec@1 35.547 (32.605) Prec@5 58.984 (57.859)
Epoch: [8][1000/5005] Time 0.211 (0.225) Data 0.054 (0.069) Loss 3.0999 (3.1713) Prec@1 33.984 (32.615) Prec@5 58.984 (57.875)
Epoch: [8][1010/5005] Time 0.201 (0.224) Data 0.046 (0.069) Loss 3.2410 (3.1708) Prec@1 31.250 (32.616) Prec@5 56.250 (57.880)
Epoch: [8][1020/5005] Time 0.214 (0.224) Data 0.041 (0.068) Loss 3.0070 (3.1712) Prec@1 33.984 (32.614) Prec@5 60.547 (57.870)
Epoch: [8][1030/5005] Time 0.215 (0.224) Data 0.042 (0.068) Loss 3.2498 (3.1709) Prec@1 30.469 (32.611) Prec@5 57.031 (57.871)
Epoch: [8][1040/5005] Time 0.215 (0.224) Data 0.042 (0.068) Loss 3.3443 (3.1708) Prec@1 29.688 (32.604) Prec@5 55.469 (57.868)
Epoch: [8][1050/5005] Time 0.218 (0.224) Data 0.042 (0.068) Loss 3.4045 (3.1713) Prec@1 28.125 (32.600) Prec@5 57.031 (57.857)
Epoch: [8][1060/5005] Time 0.202 (0.224) Data 0.046 (0.068) Loss 3.2801 (3.1718) Prec@1 31.250 (32.592) Prec@5 54.297 (57.850)
Epoch: [8][1070/5005] Time 0.213 (0.224) Data 0.049 (0.067) Loss 3.1207 (3.1718) Prec@1 33.594 (32.595) Prec@5 60.156 (57.850)
Epoch: [8][1080/5005] Time 0.203 (0.224) Data 0.043 (0.067) Loss 3.1866 (3.1717) Prec@1 32.422 (32.603) Prec@5 61.719 (57.860)
Epoch: [8][1090/5005] Time 0.209 (0.223) Data 0.043 (0.067) Loss 3.0402 (3.1713) Prec@1 36.328 (32.604) Prec@5 57.812 (57.872)
Epoch: [8][1100/5005] Time 0.196 (0.223) Data 0.052 (0.067) Loss 2.9615 (3.1711) Prec@1 39.062 (32.606) Prec@5 63.281 (57.873)
Epoch: [8][1110/5005] Time 0.221 (0.223) Data 0.048 (0.067) Loss 3.1898 (3.1712) Prec@1 32.812 (32.606) Prec@5 57.031 (57.876)
Epoch: [8][1120/5005] Time 0.204 (0.223) Data 0.046 (0.066) Loss 3.1001 (3.1705) Prec@1 35.938 (32.614) Prec@5 58.203 (57.881)
Epoch: [8][1130/5005] Time 0.211 (0.223) Data 0.048 (0.066) Loss 3.2217 (3.1712) Prec@1 31.641 (32.604) Prec@5 58.203 (57.873)
Epoch: [8][1140/5005] Time 0.196 (0.223) Data 0.045 (0.066) Loss 3.1559 (3.1710) Prec@1 32.422 (32.609) Prec@5 58.203 (57.878)
Epoch: [8][1150/5005] Time 0.207 (0.223) Data 0.047 (0.066) Loss 3.1054 (3.1705) Prec@1 31.250 (32.614) Prec@5 57.422 (57.885)
Epoch: [8][1160/5005] Time 0.215 (0.223) Data 0.042 (0.066) Loss 3.1551 (3.1703) Prec@1 32.422 (32.616) Prec@5 56.250 (57.891)
Epoch: [8][1170/5005] Time 0.216 (0.222) Data 0.042 (0.066) Loss 3.0617 (3.1699) Prec@1 35.156 (32.620) Prec@5 55.859 (57.888)
Epoch: [8][1180/5005] Time 0.209 (0.222) Data 0.079 (0.066) Loss 3.3188 (3.1695) Prec@1 30.859 (32.619) Prec@5 53.125 (57.890)
Epoch: [8][1190/5005] Time 0.209 (0.222) Data 0.041 (0.066) Loss 2.9913 (3.1692) Prec@1 36.719 (32.625) Prec@5 60.547 (57.892)
Epoch: [8][1200/5005] Time 0.213 (0.222) Data 0.047 (0.065) Loss 3.1806 (3.1690) Prec@1 31.250 (32.625) Prec@5 62.109 (57.893)
Epoch: [8][1210/5005] Time 0.200 (0.222) Data 0.050 (0.065) Loss 3.2021 (3.1697) Prec@1 30.469 (32.614) Prec@5 56.250 (57.877)
Epoch: [8][1220/5005] Time 0.411 (0.222) Data 0.319 (0.066) Loss 3.2171 (3.1700) Prec@1 32.031 (32.607) Prec@5 57.031 (57.879)
Epoch: [8][1230/5005] Time 0.200 (0.222) Data 0.043 (0.066) Loss 3.1000 (3.1700) Prec@1 34.766 (32.598) Prec@5 59.375 (57.882)
Epoch: [8][1240/5005] Time 0.194 (0.222) Data 0.043 (0.066) Loss 3.0733 (3.1700) Prec@1 32.812 (32.602) Prec@5 58.984 (57.878)
Epoch: [8][1250/5005] Time 0.202 (0.222) Data 0.043 (0.066) Loss 3.2934 (3.1706) Prec@1 27.734 (32.597) Prec@5 55.859 (57.865)
Epoch: [8][1260/5005] Time 0.224 (0.222) Data 0.142 (0.066) Loss 2.9192 (3.1700) Prec@1 34.766 (32.597) Prec@5 60.938 (57.874)
Epoch: [8][1270/5005] Time 0.350 (0.222) Data 0.259 (0.066) Loss 3.2602 (3.1704) Prec@1 31.641 (32.588) Prec@5 53.906 (57.864)
Epoch: [8][1280/5005] Time 0.225 (0.222) Data 0.146 (0.066) Loss 3.1621 (3.1707) Prec@1 34.375 (32.587) Prec@5 53.516 (57.848)
Epoch: [8][1290/5005] Time 0.198 (0.222) Data 0.054 (0.067) Loss 2.9789 (3.1706) Prec@1 37.891 (32.589) Prec@5 60.938 (57.855)
Epoch: [8][1300/5005] Time 0.209 (0.222) Data 0.045 (0.067) Loss 3.0707 (3.1704) Prec@1 39.062 (32.600) Prec@5 58.984 (57.857)
Epoch: [8][1310/5005] Time 0.426 (0.222) Data 0.345 (0.067) Loss 3.2007 (3.1704) Prec@1 32.031 (32.599) Prec@5 58.984 (57.866)
Epoch: [8][1320/5005] Time 0.219 (0.222) Data 0.045 (0.067) Loss 3.1762 (3.1705) Prec@1 31.250 (32.596) Prec@5 58.594 (57.868)
Epoch: [8][1330/5005] Time 0.201 (0.222) Data 0.047 (0.067) Loss 3.2831 (3.1711) Prec@1 29.688 (32.578) Prec@5 55.078 (57.852)
Epoch: [8][1340/5005] Time 0.195 (0.222) Data 0.047 (0.067) Loss 3.0211 (3.1709) Prec@1 32.422 (32.588) Prec@5 61.328 (57.860)
Epoch: [8][1350/5005] Time 0.205 (0.222) Data 0.048 (0.067) Loss 3.3935 (3.1712) Prec@1 30.859 (32.580) Prec@5 54.688 (57.854)
Epoch: [8][1360/5005] Time 0.288 (0.222) Data 0.201 (0.067) Loss 2.9617 (3.1710) Prec@1 35.156 (32.582) Prec@5 61.719 (57.853)
Epoch: [8][1370/5005] Time 0.213 (0.222) Data 0.041 (0.067) Loss 3.2801 (3.1707) Prec@1 29.297 (32.585) Prec@5 56.250 (57.856)
Epoch: [8][1380/5005] Time 0.203 (0.223) Data 0.048 (0.067) Loss 3.2385 (3.1705) Prec@1 31.641 (32.588) Prec@5 58.594 (57.857)
Epoch: [8][1390/5005] Time 0.204 (0.223) Data 0.046 (0.067) Loss 3.1142 (3.1704) Prec@1 36.328 (32.588) Prec@5 58.594 (57.854)
Epoch: [8][1400/5005] Time 0.207 (0.223) Data 0.041 (0.067) Loss 3.2113 (3.1697) Prec@1 33.203 (32.594) Prec@5 54.688 (57.868)
Epoch: [8][1410/5005] Time 0.200 (0.222) Data 0.051 (0.067) Loss 3.1298 (3.1692) Prec@1 32.812 (32.599) Prec@5 60.938 (57.880)
Epoch: [8][1420/5005] Time 0.205 (0.222) Data 0.045 (0.067) Loss 3.1769 (3.1690) Prec@1 35.547 (32.599) Prec@5 57.422 (57.883)
Epoch: [8][1430/5005] Time 0.201 (0.223) Data 0.054 (0.067) Loss 2.8257 (3.1683) Prec@1 36.719 (32.609) Prec@5 64.453 (57.898)
Epoch: [8][1440/5005] Time 0.197 (0.223) Data 0.110 (0.067) Loss 2.9671 (3.1680) Prec@1 39.453 (32.618) Prec@5 59.375 (57.903)
Epoch: [8][1450/5005] Time 0.206 (0.223) Data 0.045 (0.067) Loss 3.1295 (3.1677) Prec@1 32.031 (32.628) Prec@5 56.250 (57.902)
Epoch: [8][1460/5005] Time 0.222 (0.222) Data 0.137 (0.067) Loss 3.2312 (3.1677) Prec@1 31.641 (32.630) Prec@5 55.469 (57.902)
Epoch: [8][1470/5005] Time 0.431 (0.223) Data 0.347 (0.067) Loss 3.2754 (3.1679) Prec@1 30.469 (32.633) Prec@5 57.422 (57.903)
Epoch: [8][1480/5005] Time 0.206 (0.223) Data 0.042 (0.067) Loss 2.9809 (3.1682) Prec@1 36.719 (32.631) Prec@5 60.547 (57.895)
Epoch: [8][1490/5005] Time 0.215 (0.222) Data 0.048 (0.067) Loss 3.3958 (3.1678) Prec@1 29.688 (32.640) Prec@5 55.469 (57.909)
Epoch: [8][1500/5005] Time 0.189 (0.222) Data 0.055 (0.067) Loss 3.0996 (3.1675) Prec@1 33.984 (32.646) Prec@5 57.422 (57.911)
Epoch: [8][1510/5005] Time 0.202 (0.222) Data 0.048 (0.067) Loss 2.9789 (3.1671) Prec@1 33.203 (32.649) Prec@5 61.328 (57.917)
Epoch: [8][1520/5005] Time 0.205 (0.223) Data 0.038 (0.068) Loss 3.3321 (3.1668) Prec@1 33.203 (32.653) Prec@5 58.203 (57.914)
Epoch: [8][1530/5005] Time 0.204 (0.222) Data 0.040 (0.068) Loss 3.2899 (3.1672) Prec@1 30.859 (32.653) Prec@5 60.156 (57.914)
Epoch: [8][1540/5005] Time 0.207 (0.223) Data 0.044 (0.068) Loss 3.2015 (3.1675) Prec@1 31.250 (32.647) Prec@5 55.469 (57.906)
Epoch: [8][1550/5005] Time 0.200 (0.223) Data 0.084 (0.068) Loss 2.8926 (3.1669) Prec@1 38.281 (32.648) Prec@5 65.234 (57.924)
Epoch: [8][1560/5005] Time 0.191 (0.222) Data 0.106 (0.068) Loss 3.0665 (3.1668) Prec@1 34.375 (32.647) Prec@5 59.766 (57.929)
Epoch: [8][1570/5005] Time 0.417 (0.223) Data 0.339 (0.068) Loss 2.9841 (3.1663) Prec@1 33.203 (32.655) Prec@5 64.062 (57.936)
Epoch: [8][1580/5005] Time 0.208 (0.223) Data 0.041 (0.068) Loss 3.0268 (3.1667) Prec@1 33.984 (32.647) Prec@5 61.328 (57.931)
Epoch: [8][1590/5005] Time 0.197 (0.223) Data 0.042 (0.069) Loss 3.0723 (3.1666) Prec@1 35.156 (32.644) Prec@5 61.328 (57.929)
Epoch: [8][1600/5005] Time 0.215 (0.223) Data 0.053 (0.069) Loss 3.2185 (3.1664) Prec@1 28.516 (32.633) Prec@5 58.203 (57.937)
Epoch: [8][1610/5005] Time 0.210 (0.223) Data 0.042 (0.069) Loss 3.3011 (3.1662) Prec@1 30.859 (32.637) Prec@5 56.641 (57.942)
Epoch: [8][1620/5005] Time 0.194 (0.223) Data 0.046 (0.069) Loss 3.2976 (3.1660) Prec@1 30.469 (32.633) Prec@5 55.859 (57.939)
Epoch: [8][1630/5005] Time 0.297 (0.223) Data 0.214 (0.069) Loss 3.1494 (3.1662) Prec@1 33.594 (32.634) Prec@5 58.984 (57.933)
Epoch: [8][1640/5005] Time 0.199 (0.223) Data 0.051 (0.069) Loss 3.1631 (3.1664) Prec@1 36.719 (32.634) Prec@5 59.375 (57.926)
Epoch: [8][1650/5005] Time 0.193 (0.223) Data 0.044 (0.069) Loss 3.2129 (3.1663) Prec@1 33.594 (32.638) Prec@5 55.469 (57.927)
Epoch: [8][1660/5005] Time 0.205 (0.223) Data 0.041 (0.069) Loss 3.0197 (3.1654) Prec@1 36.328 (32.654) Prec@5 59.766 (57.942)
Epoch: [8][1670/5005] Time 0.203 (0.223) Data 0.048 (0.069) Loss 2.9600 (3.1656) Prec@1 36.719 (32.651) Prec@5 61.328 (57.934)
Epoch: [8][1680/5005] Time 0.204 (0.223) Data 0.086 (0.069) Loss 3.3114 (3.1658) Prec@1 33.203 (32.645) Prec@5 57.422 (57.937)
Epoch: [8][1690/5005] Time 0.197 (0.223) Data 0.055 (0.069) Loss 2.9398 (3.1654) Prec@1 37.500 (32.652) Prec@5 62.891 (57.945)
Epoch: [8][1700/5005] Time 0.424 (0.223) Data 0.336 (0.070) Loss 3.0740 (3.1650) Prec@1 33.594 (32.656) Prec@5 61.719 (57.954)
Epoch: [8][1710/5005] Time 0.202 (0.223) Data 0.045 (0.070) Loss 2.8901 (3.1643) Prec@1 35.156 (32.663) Prec@5 63.672 (57.969)
Epoch: [8][1720/5005] Time 0.205 (0.223) Data 0.045 (0.070) Loss 3.2764 (3.1644) Prec@1 30.859 (32.664) Prec@5 57.422 (57.964)
Epoch: [8][1730/5005] Time 0.203 (0.223) Data 0.041 (0.070) Loss 3.1350 (3.1646) Prec@1 30.078 (32.656) Prec@5 56.250 (57.963)
Epoch: [8][1740/5005] Time 0.500 (0.224) Data 0.411 (0.071) Loss 3.4078 (3.1645) Prec@1 29.297 (32.655) Prec@5 55.078 (57.972)
Epoch: [8][1750/5005] Time 0.195 (0.224) Data 0.062 (0.071) Loss 3.2238 (3.1639) Prec@1 27.734 (32.659) Prec@5 54.688 (57.982)
Epoch: [8][1760/5005] Time 0.199 (0.224) Data 0.043 (0.071) Loss 2.9436 (3.1640) Prec@1 31.250 (32.660) Prec@5 60.938 (57.971)
Epoch: [8][1770/5005] Time 0.208 (0.223) Data 0.042 (0.071) Loss 3.2113 (3.1638) Prec@1 27.734 (32.661) Prec@5 55.859 (57.971)
Epoch: [8][1780/5005] Time 0.211 (0.223) Data 0.042 (0.071) Loss 3.1729 (3.1638) Prec@1 32.031 (32.660) Prec@5 58.594 (57.970)
Epoch: [8][1790/5005] Time 0.201 (0.223) Data 0.050 (0.070) Loss 3.0282 (3.1635) Prec@1 34.766 (32.662) Prec@5 57.812 (57.976)
Epoch: [8][1800/5005] Time 0.207 (0.223) Data 0.046 (0.070) Loss 3.0143 (3.1633) Prec@1 36.719 (32.668) Prec@5 60.547 (57.984)
Epoch: [8][1810/5005] Time 0.206 (0.223) Data 0.047 (0.071) Loss 3.0925 (3.1631) Prec@1 31.250 (32.665) Prec@5 57.812 (57.987)
Epoch: [8][1820/5005] Time 0.204 (0.223) Data 0.059 (0.071) Loss 3.1647 (3.1629) Prec@1 34.375 (32.667) Prec@5 55.078 (57.989)
Epoch: [8][1830/5005] Time 0.208 (0.223) Data 0.051 (0.071) Loss 2.8084 (3.1623) Prec@1 38.281 (32.674) Prec@5 63.672 (57.993)
Epoch: [8][1840/5005] Time 0.208 (0.223) Data 0.128 (0.071) Loss 3.2077 (3.1621) Prec@1 32.812 (32.681) Prec@5 58.594 (57.994)
Epoch: [8][1850/5005] Time 0.213 (0.223) Data 0.047 (0.071) Loss 3.2854 (3.1619) Prec@1 30.469 (32.688) Prec@5 58.594 (57.997)
Epoch: [8][1860/5005] Time 0.198 (0.223) Data 0.046 (0.071) Loss 2.9932 (3.1620) Prec@1 36.328 (32.688) Prec@5 61.328 (57.999)
Epoch: [8][1870/5005] Time 0.206 (0.223) Data 0.047 (0.071) Loss 3.4340 (3.1622) Prec@1 28.516 (32.684) Prec@5 52.344 (57.995)
Epoch: [8][1880/5005] Time 0.218 (0.223) Data 0.046 (0.071) Loss 3.1883 (3.1624) Prec@1 34.375 (32.684) Prec@5 60.156 (57.998)
Epoch: [8][1890/5005] Time 0.209 (0.223) Data 0.045 (0.071) Loss 3.1970 (3.1622) Prec@1 32.812 (32.688) Prec@5 58.594 (58.003)
Epoch: [8][1900/5005] Time 0.199 (0.223) Data 0.052 (0.071) Loss 3.1316 (3.1627) Prec@1 29.297 (32.678) Prec@5 58.594 (57.991)
Epoch: [8][1910/5005] Time 0.191 (0.223) Data 0.048 (0.071) Loss 3.2863 (3.1628) Prec@1 27.344 (32.681) Prec@5 58.203 (57.991)
Epoch: [8][1920/5005] Time 0.209 (0.223) Data 0.050 (0.071) Loss 3.1253 (3.1626) Prec@1 31.641 (32.680) Prec@5 59.375 (57.993)
Epoch: [8][1930/5005] Time 0.206 (0.223) Data 0.046 (0.071) Loss 3.0226 (3.1625) Prec@1 32.031 (32.684) Prec@5 58.594 (57.993)
Epoch: [8][1940/5005] Time 0.201 (0.223) Data 0.039 (0.072) Loss 2.9781 (3.1622) Prec@1 36.328 (32.680) Prec@5 61.719 (57.998)
Epoch: [8][1950/5005] Time 0.319 (0.223) Data 0.236 (0.072) Loss 3.2434 (3.1619) Prec@1 28.906 (32.684) Prec@5 58.594 (58.007)
Epoch: [8][1960/5005] Time 0.337 (0.223) Data 0.246 (0.072) Loss 3.0812 (3.1614) Prec@1 36.328 (32.690) Prec@5 62.500 (58.020)
Epoch: [8][1970/5005] Time 0.201 (0.223) Data 0.045 (0.072) Loss 3.2940 (3.1617) Prec@1 28.906 (32.686) Prec@5 55.469 (58.011)
Epoch: [8][1980/5005] Time 0.211 (0.223) Data 0.043 (0.072) Loss 3.0277 (3.1616) Prec@1 35.938 (32.694) Prec@5 58.984 (58.015)
Epoch: [8][1990/5005] Time 0.196 (0.223) Data 0.043 (0.072) Loss 3.0714 (3.1615) Prec@1 32.422 (32.694) Prec@5 56.641 (58.016)
Epoch: [8][2000/5005] Time 0.200 (0.223) Data 0.091 (0.072) Loss 2.9707 (3.1617) Prec@1 33.594 (32.690) Prec@5 61.719 (58.011)
Epoch: [8][2010/5005] Time 0.214 (0.223) Data 0.043 (0.072) Loss 3.0474 (3.1620) Prec@1 32.422 (32.686) Prec@5 63.281 (58.001)
Epoch: [8][2020/5005] Time 0.201 (0.223) Data 0.045 (0.072) Loss 3.1361 (3.1620) Prec@1 32.031 (32.686) Prec@5 58.203 (58.000)
Epoch: [8][2030/5005] Time 0.204 (0.223) Data 0.041 (0.072) Loss 3.0511 (3.1620) Prec@1 32.031 (32.687) Prec@5 60.156 (57.998)
Epoch: [8][2040/5005] Time 0.254 (0.223) Data 0.167 (0.072) Loss 2.9537 (3.1619) Prec@1 32.812 (32.690) Prec@5 66.797 (57.999)
Epoch: [8][2050/5005] Time 0.197 (0.223) Data 0.055 (0.072) Loss 3.0419 (3.1617) Prec@1 38.672 (32.695) Prec@5 58.594 (58.004)
Epoch: [8][2060/5005] Time 0.204 (0.223) Data 0.042 (0.072) Loss 2.9487 (3.1614) Prec@1 33.984 (32.697) Prec@5 59.766 (58.008)
Epoch: [8][2070/5005] Time 0.191 (0.223) Data 0.054 (0.072) Loss 3.4058 (3.1618) Prec@1 28.906 (32.689) Prec@5 55.078 (58.000)
Epoch: [8][2080/5005] Time 0.196 (0.223) Data 0.041 (0.072) Loss 3.3357 (3.1620) Prec@1 32.422 (32.689) Prec@5 53.906 (57.996)
Epoch: [8][2090/5005] Time 0.205 (0.223) Data 0.040 (0.072) Loss 2.9818 (3.1614) Prec@1 38.281 (32.695) Prec@5 61.328 (58.009)
Epoch: [8][2100/5005] Time 0.204 (0.223) Data 0.064 (0.072) Loss 3.2627 (3.1613) Prec@1 29.688 (32.696) Prec@5 57.422 (58.018)
Epoch: [8][2110/5005] Time 0.243 (0.223) Data 0.161 (0.072) Loss 3.0297 (3.1612) Prec@1 35.938 (32.697) Prec@5 60.938 (58.021)
Epoch: [8][2120/5005] Time 0.193 (0.223) Data 0.050 (0.072) Loss 3.2671 (3.1613) Prec@1 33.594 (32.698) Prec@5 56.250 (58.022)
Epoch: [8][2130/5005] Time 0.207 (0.223) Data 0.044 (0.072) Loss 3.2836 (3.1609) Prec@1 31.250 (32.704) Prec@5 54.688 (58.028)
Epoch: [8][2140/5005] Time 0.205 (0.223) Data 0.040 (0.072) Loss 3.0367 (3.1610) Prec@1 34.766 (32.709) Prec@5 58.203 (58.029)
Epoch: [8][2150/5005] Time 0.195 (0.224) Data 0.047 (0.073) Loss 2.9823 (3.1608) Prec@1 34.766 (32.709) Prec@5 61.719 (58.031)
Epoch: [8][2160/5005] Time 0.198 (0.224) Data 0.048 (0.073) Loss 3.0334 (3.1608) Prec@1 33.203 (32.705) Prec@5 60.156 (58.032)
Epoch: [8][2170/5005] Time 0.202 (0.224) Data 0.038 (0.073) Loss 3.0902 (3.1605) Prec@1 33.594 (32.709) Prec@5 58.984 (58.038)
Epoch: [8][2180/5005] Time 0.211 (0.224) Data 0.047 (0.073) Loss 3.1864 (3.1607) Prec@1 32.422 (32.708) Prec@5 56.641 (58.032)
Epoch: [8][2190/5005] Time 0.200 (0.224) Data 0.044 (0.073) Loss 3.3053 (3.1606) Prec@1 32.812 (32.707) Prec@5 51.953 (58.033)
Epoch: [8][2200/5005] Time 0.201 (0.224) Data 0.045 (0.073) Loss 3.3421 (3.1608) Prec@1 31.641 (32.706) Prec@5 53.516 (58.031)
Epoch: [8][2210/5005] Time 0.197 (0.224) Data 0.055 (0.073) Loss 3.2637 (3.1611) Prec@1 33.594 (32.704) Prec@5 54.297 (58.025)
Epoch: [8][2220/5005] Time 0.208 (0.224) Data 0.050 (0.073) Loss 3.3310 (3.1609) Prec@1 30.859 (32.711) Prec@5 56.641 (58.028)
Epoch: [8][2230/5005] Time 0.210 (0.224) Data 0.045 (0.073) Loss 3.1665 (3.1609) Prec@1 35.547 (32.711) Prec@5 57.422 (58.026)
Epoch: [8][2240/5005] Time 0.204 (0.224) Data 0.051 (0.073) Loss 3.0944 (3.1610) Prec@1 36.719 (32.713) Prec@5 60.156 (58.025)
Epoch: [8][2250/5005] Time 0.229 (0.224) Data 0.132 (0.073) Loss 3.0861 (3.1610) Prec@1 33.984 (32.712) Prec@5 57.031 (58.025)
Epoch: [8][2260/5005] Time 0.209 (0.224) Data 0.125 (0.073) Loss 3.0289 (3.1606) Prec@1 33.984 (32.715) Prec@5 58.594 (58.031)
Epoch: [8][2270/5005] Time 0.219 (0.224) Data 0.044 (0.073) Loss 3.3283 (3.1604) Prec@1 32.422 (32.721) Prec@5 55.859 (58.037)
Epoch: [8][2280/5005] Time 0.198 (0.224) Data 0.055 (0.073) Loss 3.2216 (3.1605) Prec@1 31.250 (32.723) Prec@5 58.203 (58.037)
Epoch: [8][2290/5005] Time 0.437 (0.224) Data 0.348 (0.073) Loss 2.8207 (3.1602) Prec@1 36.328 (32.727) Prec@5 62.891 (58.040)
Epoch: [8][2300/5005] Time 0.210 (0.224) Data 0.055 (0.073) Loss 2.9514 (3.1602) Prec@1 32.031 (32.730) Prec@5 59.766 (58.039)
Epoch: [8][2310/5005] Time 0.320 (0.224) Data 0.233 (0.073) Loss 2.9994 (3.1600) Prec@1 35.547 (32.740) Prec@5 57.812 (58.037)
Epoch: [8][2320/5005] Time 0.202 (0.224) Data 0.056 (0.073) Loss 3.2896 (3.1599) Prec@1 30.469 (32.736) Prec@5 53.906 (58.039)
Epoch: [8][2330/5005] Time 0.194 (0.224) Data 0.057 (0.074) Loss 3.0947 (3.1596) Prec@1 35.547 (32.745) Prec@5 57.031 (58.046)
Epoch: [8][2340/5005] Time 0.303 (0.224) Data 0.222 (0.074) Loss 3.0737 (3.1596) Prec@1 32.422 (32.748) Prec@5 61.328 (58.043)
Epoch: [8][2350/5005] Time 0.214 (0.224) Data 0.041 (0.074) Loss 3.1621 (3.1593) Prec@1 34.375 (32.754) Prec@5 54.688 (58.043)
Epoch: [8][2360/5005] Time 0.200 (0.224) Data 0.039 (0.074) Loss 3.0787 (3.1594) Prec@1 36.719 (32.757) Prec@5 58.594 (58.039)
Epoch: [8][2370/5005] Time 0.199 (0.224) Data 0.059 (0.074) Loss 3.1971 (3.1595) Prec@1 28.125 (32.751) Prec@5 58.203 (58.040)
Epoch: [8][2380/5005] Time 0.205 (0.224) Data 0.044 (0.074) Loss 3.1536 (3.1593) Prec@1 33.984 (32.760) Prec@5 58.984 (58.044)
Epoch: [8][2390/5005] Time 0.207 (0.224) Data 0.045 (0.074) Loss 3.1260 (3.1592) Prec@1 30.078 (32.763) Prec@5 60.156 (58.048)
Epoch: [8][2400/5005] Time 0.484 (0.224) Data 0.398 (0.074) Loss 3.1582 (3.1593) Prec@1 30.469 (32.758) Prec@5 61.719 (58.047)
Epoch: [8][2410/5005] Time 0.203 (0.224) Data 0.049 (0.074) Loss 3.2218 (3.1594) Prec@1 32.422 (32.761) Prec@5 56.250 (58.047)
Epoch: [8][2420/5005] Time 0.197 (0.224) Data 0.101 (0.074) Loss 3.2507 (3.1593) Prec@1 27.734 (32.762) Prec@5 57.422 (58.051)
Epoch: [8][2430/5005] Time 0.193 (0.224) Data 0.055 (0.074) Loss 2.9979 (3.1593) Prec@1 35.547 (32.763) Prec@5 58.594 (58.046)
Epoch: [8][2440/5005] Time 0.205 (0.224) Data 0.044 (0.074) Loss 2.9283 (3.1593) Prec@1 36.719 (32.765) Prec@5 66.016 (58.049)
Epoch: [8][2450/5005] Time 0.276 (0.224) Data 0.189 (0.074) Loss 3.0804 (3.1594) Prec@1 31.641 (32.762) Prec@5 60.156 (58.054)
Epoch: [8][2460/5005] Time 0.203 (0.224) Data 0.059 (0.074) Loss 3.1449 (3.1593) Prec@1 30.469 (32.761) Prec@5 58.203 (58.056)
Epoch: [8][2470/5005] Time 0.200 (0.224) Data 0.058 (0.074) Loss 3.0060 (3.1593) Prec@1 33.984 (32.760) Prec@5 57.422 (58.053)
Epoch: [8][2480/5005] Time 0.305 (0.224) Data 0.218 (0.074) Loss 3.3162 (3.1593) Prec@1 34.766 (32.759) Prec@5 58.984 (58.052)
Epoch: [8][2490/5005] Time 0.201 (0.224) Data 0.044 (0.074) Loss 2.9727 (3.1593) Prec@1 33.594 (32.760) Prec@5 62.500 (58.053)
Epoch: [8][2500/5005] Time 0.258 (0.224) Data 0.177 (0.074) Loss 3.2103 (3.1592) Prec@1 32.422 (32.764) Prec@5 56.641 (58.057)
Epoch: [8][2510/5005] Time 0.201 (0.224) Data 0.042 (0.074) Loss 3.1694 (3.1593) Prec@1 33.984 (32.760) Prec@5 57.812 (58.056)
Epoch: [8][2520/5005] Time 0.200 (0.224) Data 0.039 (0.075) Loss 3.0405 (3.1591) Prec@1 34.375 (32.763) Prec@5 60.938 (58.061)
Epoch: [8][2530/5005] Time 0.410 (0.224) Data 0.333 (0.075) Loss 3.2144 (3.1589) Prec@1 33.984 (32.767) Prec@5 52.734 (58.057)
Epoch: [8][2540/5005] Time 0.205 (0.224) Data 0.043 (0.075) Loss 3.0530 (3.1589) Prec@1 32.031 (32.773) Prec@5 61.719 (58.059)
Epoch: [8][2550/5005] Time 0.197 (0.224) Data 0.040 (0.075) Loss 3.2039 (3.1589) Prec@1 27.344 (32.768) Prec@5 56.250 (58.059)
Epoch: [8][2560/5005] Time 0.206 (0.224) Data 0.039 (0.075) Loss 3.3076 (3.1590) Prec@1 30.469 (32.765) Prec@5 55.469 (58.060)
Epoch: [8][2570/5005] Time 0.210 (0.224) Data 0.051 (0.074) Loss 3.2192 (3.1589) Prec@1 30.469 (32.767) Prec@5 58.203 (58.062)
Epoch: [8][2580/5005] Time 0.430 (0.224) Data 0.347 (0.074) Loss 3.2835 (3.1592) Prec@1 30.469 (32.763) Prec@5 55.469 (58.054)
Epoch: [8][2590/5005] Time 0.199 (0.224) Data 0.047 (0.075) Loss 3.1965 (3.1589) Prec@1 35.156 (32.773) Prec@5 56.641 (58.058)
Epoch: [8][2600/5005] Time 0.200 (0.224) Data 0.040 (0.074) Loss 3.3645 (3.1592) Prec@1 30.078 (32.770) Prec@5 57.422 (58.054)
Epoch: [8][2610/5005] Time 0.198 (0.224) Data 0.107 (0.074) Loss 3.3767 (3.1590) Prec@1 30.078 (32.777) Prec@5 56.250 (58.056)
Epoch: [8][2620/5005] Time 0.203 (0.224) Data 0.045 (0.074) Loss 3.2537 (3.1590) Prec@1 29.297 (32.773) Prec@5 54.688 (58.056)
Epoch: [8][2630/5005] Time 0.298 (0.224) Data 0.211 (0.075) Loss 3.2226 (3.1594) Prec@1 30.469 (32.769) Prec@5 57.422 (58.053)
Epoch: [8][2640/5005] Time 0.201 (0.224) Data 0.048 (0.075) Loss 3.3276 (3.1595) Prec@1 28.516 (32.767) Prec@5 54.297 (58.048)
Epoch: [8][2650/5005] Time 0.199 (0.224) Data 0.045 (0.075) Loss 3.3600 (3.1595) Prec@1 34.375 (32.766) Prec@5 53.516 (58.048)
Epoch: [8][2660/5005] Time 0.198 (0.224) Data 0.047 (0.075) Loss 3.2667 (3.1596) Prec@1 30.078 (32.761) Prec@5 56.641 (58.047)
Epoch: [8][2670/5005] Time 0.344 (0.224) Data 0.262 (0.075) Loss 2.8067 (3.1593) Prec@1 34.766 (32.764) Prec@5 64.062 (58.051)
Epoch: [8][2680/5005] Time 0.215 (0.224) Data 0.048 (0.075) Loss 2.9822 (3.1593) Prec@1 37.500 (32.766) Prec@5 62.500 (58.052)
Epoch: [8][2690/5005] Time 0.205 (0.224) Data 0.047 (0.075) Loss 2.9818 (3.1590) Prec@1 39.453 (32.774) Prec@5 60.938 (58.056)
Epoch: [8][2700/5005] Time 0.240 (0.224) Data 0.155 (0.075) Loss 3.0858 (3.1590) Prec@1 35.156 (32.771) Prec@5 60.547 (58.056)
Epoch: [8][2710/5005] Time 0.202 (0.224) Data 0.098 (0.075) Loss 2.9829 (3.1591) Prec@1 33.203 (32.765) Prec@5 61.328 (58.048)
Epoch: [8][2720/5005] Time 0.199 (0.224) Data 0.051 (0.075) Loss 3.1267 (3.1591) Prec@1 35.938 (32.763) Prec@5 59.766 (58.049)
Epoch: [8][2730/5005] Time 0.203 (0.224) Data 0.048 (0.075) Loss 3.2600 (3.1590) Prec@1 30.078 (32.762) Prec@5 56.250 (58.049)
Epoch: [8][2740/5005] Time 0.188 (0.224) Data 0.047 (0.075) Loss 3.0204 (3.1589) Prec@1 36.328 (32.766) Prec@5 62.109 (58.052)
Epoch: [8][2750/5005] Time 0.204 (0.224) Data 0.048 (0.075) Loss 3.1633 (3.1588) Prec@1 32.031 (32.769) Prec@5 57.031 (58.055)
Epoch: [8][2760/5005] Time 0.195 (0.224) Data 0.044 (0.075) Loss 3.1102 (3.1586) Prec@1 31.250 (32.770) Prec@5 60.938 (58.061)
Epoch: [8][2770/5005] Time 0.200 (0.224) Data 0.039 (0.075) Loss 3.0930 (3.1587) Prec@1 30.859 (32.767) Prec@5 56.641 (58.059)
Epoch: [8][2780/5005] Time 0.205 (0.224) Data 0.040 (0.075) Loss 3.3059 (3.1586) Prec@1 32.422 (32.772) Prec@5 58.984 (58.063)
Epoch: [8][2790/5005] Time 0.566 (0.224) Data 0.482 (0.075) Loss 3.5411 (3.1586) Prec@1 26.172 (32.773) Prec@5 51.562 (58.062)
Epoch: [8][2800/5005] Time 0.205 (0.224) Data 0.049 (0.075) Loss 3.0122 (3.1585) Prec@1 35.938 (32.780) Prec@5 61.328 (58.065)
Epoch: [8][2810/5005] Time 0.206 (0.224) Data 0.040 (0.075) Loss 3.1971 (3.1583) Prec@1 32.422 (32.782) Prec@5 55.859 (58.071)
Epoch: [8][2820/5005] Time 0.210 (0.224) Data 0.040 (0.075) Loss 2.8404 (3.1582) Prec@1 34.766 (32.776) Prec@5 62.891 (58.072)
Epoch: [8][2830/5005] Time 0.305 (0.224) Data 0.228 (0.075) Loss 3.4655 (3.1586) Prec@1 28.906 (32.769) Prec@5 57.031 (58.067)
Epoch: [8][2840/5005] Time 0.195 (0.224) Data 0.055 (0.075) Loss 3.2435 (3.1585) Prec@1 30.078 (32.769) Prec@5 54.688 (58.067)
Epoch: [8][2850/5005] Time 0.373 (0.224) Data 0.294 (0.075) Loss 3.0994 (3.1583) Prec@1 32.812 (32.769) Prec@5 56.641 (58.070)
Epoch: [8][2860/5005] Time 0.198 (0.224) Data 0.042 (0.075) Loss 3.1190 (3.1585) Prec@1 32.031 (32.766) Prec@5 59.766 (58.069)
Epoch: [8][2870/5005] Time 0.203 (0.224) Data 0.057 (0.075) Loss 3.0623 (3.1581) Prec@1 33.984 (32.771) Prec@5 61.719 (58.081)
Epoch: [8][2880/5005] Time 0.194 (0.224) Data 0.052 (0.075) Loss 3.1024 (3.1581) Prec@1 32.031 (32.771) Prec@5 57.031 (58.082)
Epoch: [8][2890/5005] Time 0.197 (0.224) Data 0.043 (0.075) Loss 3.2049 (3.1579) Prec@1 28.906 (32.775) Prec@5 58.203 (58.085)
Epoch: [8][2900/5005] Time 0.201 (0.224) Data 0.047 (0.076) Loss 2.8423 (3.1577) Prec@1 37.109 (32.777) Prec@5 64.453 (58.090)
Epoch: [8][2910/5005] Time 0.203 (0.224) Data 0.050 (0.076) Loss 3.0531 (3.1577) Prec@1 32.812 (32.775) Prec@5 58.594 (58.091)
Epoch: [8][2920/5005] Time 0.199 (0.224) Data 0.045 (0.076) Loss 3.2058 (3.1578) Prec@1 28.906 (32.776) Prec@5 53.516 (58.092)
Epoch: [8][2930/5005] Time 0.199 (0.224) Data 0.050 (0.076) Loss 3.4089 (3.1578) Prec@1 27.344 (32.776) Prec@5 51.953 (58.093)
Epoch: [8][2940/5005] Time 0.209 (0.224) Data 0.109 (0.076) Loss 3.2485 (3.1577) Prec@1 30.469 (32.772) Prec@5 57.031 (58.099)
Epoch: [8][2950/5005] Time 0.193 (0.224) Data 0.099 (0.076) Loss 3.3722 (3.1574) Prec@1 25.781 (32.778) Prec@5 56.250 (58.105)
Epoch: [8][2960/5005] Time 0.205 (0.224) Data 0.039 (0.076) Loss 3.1244 (3.1573) Prec@1 34.766 (32.780) Prec@5 60.156 (58.108)
Epoch: [8][2970/5005] Time 0.204 (0.224) Data 0.041 (0.076) Loss 3.3569 (3.1572) Prec@1 26.562 (32.779) Prec@5 57.031 (58.108)
Epoch: [8][2980/5005] Time 0.213 (0.224) Data 0.044 (0.076) Loss 3.2057 (3.1574) Prec@1 30.859 (32.776) Prec@5 58.984 (58.105)
Epoch: [8][2990/5005] Time 0.773 (0.224) Data 0.692 (0.076) Loss 3.1057 (3.1575) Prec@1 35.938 (32.774) Prec@5 60.938 (58.105)
Epoch: [8][3000/5005] Time 0.201 (0.224) Data 0.048 (0.076) Loss 3.1510 (3.1573) Prec@1 31.250 (32.776) Prec@5 57.422 (58.108)
Epoch: [8][3010/5005] Time 0.211 (0.224) Data 0.045 (0.076) Loss 3.0811 (3.1574) Prec@1 36.328 (32.776) Prec@5 58.203 (58.105)
Epoch: [8][3020/5005] Time 0.207 (0.224) Data 0.046 (0.076) Loss 2.9265 (3.1575) Prec@1 35.156 (32.776) Prec@5 59.766 (58.102)
Epoch: [8][3030/5005] Time 0.189 (0.224) Data 0.050 (0.076) Loss 3.1132 (3.1575) Prec@1 36.719 (32.779) Prec@5 60.156 (58.103)
Epoch: [8][3040/5005] Time 0.200 (0.224) Data 0.046 (0.076) Loss 2.8993 (3.1572) Prec@1 35.938 (32.786) Prec@5 61.719 (58.108)
Epoch: [8][3050/5005] Time 0.206 (0.224) Data 0.045 (0.076) Loss 3.1727 (3.1573) Prec@1 30.469 (32.780) Prec@5 58.594 (58.105)
Epoch: [8][3060/5005] Time 0.204 (0.224) Data 0.052 (0.076) Loss 3.0029 (3.1570) Prec@1 39.453 (32.785) Prec@5 58.594 (58.104)
Epoch: [8][3070/5005] Time 0.202 (0.224) Data 0.044 (0.076) Loss 3.1337 (3.1572) Prec@1 33.984 (32.781) Prec@5 55.469 (58.099)
Epoch: [8][3080/5005] Time 0.214 (0.224) Data 0.045 (0.076) Loss 3.0312 (3.1571) Prec@1 33.594 (32.780) Prec@5 63.281 (58.101)
Epoch: [8][3090/5005] Time 0.205 (0.224) Data 0.048 (0.076) Loss 3.5684 (3.1571) Prec@1 23.438 (32.777) Prec@5 53.516 (58.103)
Epoch: [8][3100/5005] Time 0.333 (0.224) Data 0.239 (0.076) Loss 3.1012 (3.1572) Prec@1 33.594 (32.777) Prec@5 60.156 (58.105)
Epoch: [8][3110/5005] Time 0.200 (0.225) Data 0.044 (0.076) Loss 2.8960 (3.1570) Prec@1 35.547 (32.781) Prec@5 60.547 (58.111)
Epoch: [8][3120/5005] Time 0.190 (0.224) Data 0.053 (0.076) Loss 3.3772 (3.1570) Prec@1 26.172 (32.782) Prec@5 54.688 (58.108)
Epoch: [8][3130/5005] Time 0.197 (0.224) Data 0.052 (0.076) Loss 3.1421 (3.1568) Prec@1 34.375 (32.789) Prec@5 59.375 (58.111)
Epoch: [8][3140/5005] Time 0.275 (0.224) Data 0.185 (0.076) Loss 2.8425 (3.1566) Prec@1 36.328 (32.797) Prec@5 64.844 (58.116)
Epoch: [8][3150/5005] Time 0.210 (0.224) Data 0.043 (0.075) Loss 3.1057 (3.1564) Prec@1 33.984 (32.802) Prec@5 59.766 (58.121)
Epoch: [8][3160/5005] Time 0.204 (0.224) Data 0.040 (0.075) Loss 3.0755 (3.1565) Prec@1 36.328 (32.801) Prec@5 58.984 (58.124)
Epoch: [8][3170/5005] Time 0.214 (0.224) Data 0.043 (0.075) Loss 3.2674 (3.1566) Prec@1 33.203 (32.801) Prec@5 56.250 (58.121)
Epoch: [8][3180/5005] Time 0.194 (0.224) Data 0.109 (0.075) Loss 2.9789 (3.1567) Prec@1 37.500 (32.804) Prec@5 63.281 (58.121)
Epoch: [8][3190/5005] Time 0.210 (0.224) Data 0.048 (0.075) Loss 3.1396 (3.1567) Prec@1 30.469 (32.804) Prec@5 61.328 (58.123)
Epoch: [8][3200/5005] Time 0.203 (0.224) Data 0.051 (0.076) Loss 3.1518 (3.1567) Prec@1 32.422 (32.808) Prec@5 58.203 (58.121)
Epoch: [8][3210/5005] Time 0.199 (0.224) Data 0.049 (0.076) Loss 3.2624 (3.1568) Prec@1 33.203 (32.805) Prec@5 56.250 (58.120)
Epoch: [8][3220/5005] Time 0.200 (0.224) Data 0.050 (0.076) Loss 3.2310 (3.1568) Prec@1 33.594 (32.807) Prec@5 57.422 (58.120)
Epoch: [8][3230/5005] Time 0.207 (0.224) Data 0.058 (0.076) Loss 2.9691 (3.1567) Prec@1 34.766 (32.811) Prec@5 60.547 (58.124)
Epoch: [8][3240/5005] Time 0.198 (0.224) Data 0.053 (0.076) Loss 3.4672 (3.1570) Prec@1 28.906 (32.805) Prec@5 55.078 (58.118)
Epoch: [8][3250/5005] Time 0.195 (0.224) Data 0.057 (0.076) Loss 3.0302 (3.1570) Prec@1 35.547 (32.805) Prec@5 61.328 (58.120)
Epoch: [8][3260/5005] Time 0.198 (0.224) Data 0.048 (0.076) Loss 3.0578 (3.1570) Prec@1 33.594 (32.801) Prec@5 58.594 (58.116)
Epoch: [8][3270/5005] Time 0.210 (0.224) Data 0.041 (0.076) Loss 3.3342 (3.1569) Prec@1 33.984 (32.804) Prec@5 56.250 (58.119)
Epoch: [8][3280/5005] Time 0.394 (0.225) Data 0.314 (0.076) Loss 3.1720 (3.1570) Prec@1 33.203 (32.802) Prec@5 60.156 (58.118)
Epoch: [8][3290/5005] Time 0.203 (0.225) Data 0.050 (0.076) Loss 3.2078 (3.1569) Prec@1 33.984 (32.803) Prec@5 58.984 (58.121)
Epoch: [8][3300/5005] Time 0.202 (0.224) Data 0.059 (0.076) Loss 2.9964 (3.1568) Prec@1 34.375 (32.805) Prec@5 58.594 (58.119)
Epoch: [8][3310/5005] Time 0.208 (0.224) Data 0.047 (0.076) Loss 3.0717 (3.1568) Prec@1 33.594 (32.806) Prec@5 60.156 (58.118)
Epoch: [8][3320/5005] Time 0.202 (0.224) Data 0.046 (0.076) Loss 3.2074 (3.1568) Prec@1 34.375 (32.807) Prec@5 58.594 (58.119)
Epoch: [8][3330/5005] Time 0.198 (0.224) Data 0.048 (0.076) Loss 3.1311 (3.1567) Prec@1 30.859 (32.807) Prec@5 58.984 (58.121)
Epoch: [8][3340/5005] Time 0.205 (0.224) Data 0.043 (0.076) Loss 3.1512 (3.1566) Prec@1 35.938 (32.809) Prec@5 56.250 (58.122)
Epoch: [8][3350/5005] Time 0.207 (0.224) Data 0.095 (0.076) Loss 3.2452 (3.1566) Prec@1 30.859 (32.807) Prec@5 57.031 (58.120)
Epoch: [8][3360/5005] Time 0.198 (0.224) Data 0.088 (0.076) Loss 2.9972 (3.1566) Prec@1 32.422 (32.805) Prec@5 62.109 (58.123)
Epoch: [8][3370/5005] Time 0.300 (0.224) Data 0.218 (0.076) Loss 3.2884 (3.1566) Prec@1 29.297 (32.806) Prec@5 57.422 (58.124)
Epoch: [8][3380/5005] Time 0.196 (0.224) Data 0.052 (0.076) Loss 2.9776 (3.1565) Prec@1 34.375 (32.806) Prec@5 61.719 (58.124)
Epoch: [8][3390/5005] Time 0.607 (0.224) Data 0.525 (0.076) Loss 3.0553 (3.1567) Prec@1 33.984 (32.799) Prec@5 60.156 (58.119)
Epoch: [8][3400/5005] Time 0.200 (0.224) Data 0.055 (0.076) Loss 3.0643 (3.1568) Prec@1 27.344 (32.794) Prec@5 64.844 (58.119)
Epoch: [8][3410/5005] Time 0.189 (0.224) Data 0.042 (0.076) Loss 3.1434 (3.1565) Prec@1 34.375 (32.797) Prec@5 59.766 (58.123)
Epoch: [8][3420/5005] Time 0.197 (0.224) Data 0.042 (0.076) Loss 3.1725 (3.1566) Prec@1 30.469 (32.794) Prec@5 56.641 (58.122)
Epoch: [8][3430/5005] Time 0.212 (0.224) Data 0.040 (0.076) Loss 2.9383 (3.1565) Prec@1 34.766 (32.795) Prec@5 63.281 (58.126)
Epoch: [8][3440/5005] Time 0.197 (0.224) Data 0.042 (0.076) Loss 3.2643 (3.1564) Prec@1 31.641 (32.793) Prec@5 55.469 (58.127)
Epoch: [8][3450/5005] Time 0.203 (0.224) Data 0.044 (0.076) Loss 2.8936 (3.1564) Prec@1 38.672 (32.797) Prec@5 63.672 (58.128)
Epoch: [8][3460/5005] Time 0.211 (0.224) Data 0.041 (0.076) Loss 3.0912 (3.1565) Prec@1 32.031 (32.796) Prec@5 58.203 (58.126)
Epoch: [8][3470/5005] Time 0.293 (0.224) Data 0.212 (0.076) Loss 2.9257 (3.1563) Prec@1 35.156 (32.797) Prec@5 63.281 (58.128)
Epoch: [8][3480/5005] Time 0.199 (0.224) Data 0.044 (0.076) Loss 2.9312 (3.1561) Prec@1 35.156 (32.800) Prec@5 60.938 (58.130)
Epoch: [8][3490/5005] Time 0.198 (0.224) Data 0.051 (0.076) Loss 3.1849 (3.1561) Prec@1 32.422 (32.803) Prec@5 57.031 (58.129)
Epoch: [8][3500/5005] Time 0.200 (0.224) Data 0.045 (0.076) Loss 2.9512 (3.1561) Prec@1 33.594 (32.801) Prec@5 62.500 (58.130)
Epoch: [8][3510/5005] Time 0.200 (0.224) Data 0.043 (0.076) Loss 3.2097 (3.1560) Prec@1 32.422 (32.800) Prec@5 55.859 (58.134)
Epoch: [8][3520/5005] Time 0.207 (0.224) Data 0.097 (0.076) Loss 3.3871 (3.1560) Prec@1 32.031 (32.801) Prec@5 53.516 (58.135)
Epoch: [8][3530/5005] Time 0.203 (0.224) Data 0.050 (0.076) Loss 3.1544 (3.1557) Prec@1 29.688 (32.808) Prec@5 59.375 (58.141)
Epoch: [8][3540/5005] Time 0.209 (0.224) Data 0.042 (0.076) Loss 3.0176 (3.1556) Prec@1 33.984 (32.812) Prec@5 63.281 (58.145)
Epoch: [8][3550/5005] Time 0.216 (0.224) Data 0.045 (0.076) Loss 3.1774 (3.1554) Prec@1 31.641 (32.813) Prec@5 56.641 (58.146)
Epoch: [8][3560/5005] Time 0.206 (0.224) Data 0.048 (0.076) Loss 3.2556 (3.1554) Prec@1 29.688 (32.811) Prec@5 52.734 (58.148)
Epoch: [8][3570/5005] Time 0.201 (0.224) Data 0.047 (0.076) Loss 3.2311 (3.1553) Prec@1 32.031 (32.813) Prec@5 58.984 (58.149)
Epoch: [8][3580/5005] Time 0.476 (0.224) Data 0.391 (0.076) Loss 3.1570 (3.1555) Prec@1 32.812 (32.812) Prec@5 57.422 (58.148)
Epoch: [8][3590/5005] Time 0.207 (0.224) Data 0.047 (0.076) Loss 3.1693 (3.1551) Prec@1 32.031 (32.819) Prec@5 57.812 (58.157)
Epoch: [8][3600/5005] Time 0.201 (0.224) Data 0.066 (0.077) Loss 3.1460 (3.1548) Prec@1 35.156 (32.819) Prec@5 59.375 (58.162)
Epoch: [8][3610/5005] Time 0.205 (0.224) Data 0.047 (0.077) Loss 3.0947 (3.1549) Prec@1 35.156 (32.817) Prec@5 57.422 (58.161)
Epoch: [8][3620/5005] Time 0.196 (0.224) Data 0.046 (0.077) Loss 3.3295 (3.1547) Prec@1 32.031 (32.821) Prec@5 55.078 (58.163)
Epoch: [8][3630/5005] Time 0.198 (0.224) Data 0.044 (0.077) Loss 3.3736 (3.1546) Prec@1 28.906 (32.825) Prec@5 57.422 (58.166)
Epoch: [8][3640/5005] Time 0.216 (0.224) Data 0.099 (0.077) Loss 2.9861 (3.1544) Prec@1 33.594 (32.825) Prec@5 60.547 (58.167)
Epoch: [8][3650/5005] Time 0.204 (0.224) Data 0.045 (0.077) Loss 2.9397 (3.1545) Prec@1 33.594 (32.826) Prec@5 62.891 (58.171)
Epoch: [8][3660/5005] Time 0.302 (0.224) Data 0.217 (0.077) Loss 3.3101 (3.1543) Prec@1 30.469 (32.827) Prec@5 58.984 (58.175)
Epoch: [8][3670/5005] Time 0.213 (0.224) Data 0.041 (0.077) Loss 3.1111 (3.1543) Prec@1 37.500 (32.830) Prec@5 60.547 (58.178)
Epoch: [8][3680/5005] Time 0.203 (0.224) Data 0.045 (0.077) Loss 3.1468 (3.1545) Prec@1 29.688 (32.826) Prec@5 62.109 (58.177)
Epoch: [8][3690/5005] Time 0.281 (0.224) Data 0.186 (0.077) Loss 3.0304 (3.1544) Prec@1 36.328 (32.828) Prec@5 63.281 (58.180)
Epoch: [8][3700/5005] Time 0.208 (0.224) Data 0.045 (0.077) Loss 3.1426 (3.1544) Prec@1 32.422 (32.826) Prec@5 62.891 (58.183)
Epoch: [8][3710/5005] Time 0.371 (0.224) Data 0.290 (0.077) Loss 3.1372 (3.1545) Prec@1 34.766 (32.822) Prec@5 59.766 (58.182)
Epoch: [8][3720/5005] Time 0.195 (0.224) Data 0.090 (0.077) Loss 3.2593 (3.1543) Prec@1 32.812 (32.824) Prec@5 57.812 (58.187)
Epoch: [8][3730/5005] Time 0.200 (0.224) Data 0.049 (0.077) Loss 2.8282 (3.1542) Prec@1 39.844 (32.829) Prec@5 62.891 (58.186)
Epoch: [8][3740/5005] Time 0.199 (0.224) Data 0.052 (0.077) Loss 3.1392 (3.1539) Prec@1 31.641 (32.832) Prec@5 57.031 (58.191)
Epoch: [8][3750/5005] Time 0.277 (0.224) Data 0.191 (0.077) Loss 2.9793 (3.1540) Prec@1 34.375 (32.833) Prec@5 62.109 (58.191)
Epoch: [8][3760/5005] Time 0.193 (0.224) Data 0.088 (0.077) Loss 3.0926 (3.1540) Prec@1 35.547 (32.831) Prec@5 60.156 (58.190)
Epoch: [8][3770/5005] Time 0.202 (0.224) Data 0.044 (0.077) Loss 3.4084 (3.1540) Prec@1 31.641 (32.829) Prec@5 54.297 (58.192)
Epoch: [8][3780/5005] Time 0.319 (0.224) Data 0.228 (0.077) Loss 3.2373 (3.1539) Prec@1 31.250 (32.831) Prec@5 58.203 (58.194)
Epoch: [8][3790/5005] Time 0.206 (0.224) Data 0.047 (0.077) Loss 3.2390 (3.1539) Prec@1 33.203 (32.834) Prec@5 54.297 (58.193)
Epoch: [8][3800/5005] Time 0.206 (0.224) Data 0.048 (0.077) Loss 2.8520 (3.1541) Prec@1 40.234 (32.833) Prec@5 63.672 (58.190)
Epoch: [8][3810/5005] Time 0.206 (0.224) Data 0.050 (0.077) Loss 3.2218 (3.1541) Prec@1 32.812 (32.833) Prec@5 60.547 (58.191)
Epoch: [8][3820/5005] Time 0.208 (0.224) Data 0.047 (0.077) Loss 2.9636 (3.1540) Prec@1 37.500 (32.834) Prec@5 62.500 (58.196)
Epoch: [8][3830/5005] Time 0.206 (0.224) Data 0.044 (0.077) Loss 3.2114 (3.1538) Prec@1 30.078 (32.835) Prec@5 55.078 (58.197)
Epoch: [8][3840/5005] Time 0.209 (0.224) Data 0.046 (0.077) Loss 3.3954 (3.1540) Prec@1 27.734 (32.832) Prec@5 51.562 (58.193)
Epoch: [8][3850/5005] Time 0.212 (0.224) Data 0.046 (0.077) Loss 3.3102 (3.1540) Prec@1 30.859 (32.832) Prec@5 57.031 (58.195)
Epoch: [8][3860/5005] Time 0.204 (0.224) Data 0.040 (0.077) Loss 2.9440 (3.1540) Prec@1 38.672 (32.834) Prec@5 63.281 (58.197)
Epoch: [8][3870/5005] Time 0.188 (0.224) Data 0.064 (0.077) Loss 3.1332 (3.1540) Prec@1 30.078 (32.833) Prec@5 57.031 (58.196)
Epoch: [8][3880/5005] Time 0.194 (0.224) Data 0.059 (0.077) Loss 3.2150 (3.1542) Prec@1 31.250 (32.828) Prec@5 55.078 (58.193)
Epoch: [8][3890/5005] Time 0.215 (0.224) Data 0.047 (0.077) Loss 3.3106 (3.1542) Prec@1 29.688 (32.831) Prec@5 59.375 (58.194)
Epoch: [8][3900/5005] Time 0.207 (0.224) Data 0.050 (0.077) Loss 3.3984 (3.1543) Prec@1 31.250 (32.833) Prec@5 56.641 (58.196)
Epoch: [8][3910/5005] Time 0.201 (0.224) Data 0.039 (0.077) Loss 3.2080 (3.1543) Prec@1 33.594 (32.833) Prec@5 54.297 (58.195)
Epoch: [8][3920/5005] Time 0.192 (0.224) Data 0.043 (0.077) Loss 3.2214 (3.1542) Prec@1 34.766 (32.837) Prec@5 59.766 (58.197)
Epoch: [8][3930/5005] Time 0.209 (0.224) Data 0.061 (0.077) Loss 3.0922 (3.1540) Prec@1 36.328 (32.840) Prec@5 53.125 (58.198)
Epoch: [8][3940/5005] Time 0.200 (0.224) Data 0.042 (0.077) Loss 3.1229 (3.1540) Prec@1 33.984 (32.841) Prec@5 59.375 (58.196)
Epoch: [8][3950/5005] Time 0.204 (0.224) Data 0.040 (0.077) Loss 3.0797 (3.1538) Prec@1 32.031 (32.844) Prec@5 62.109 (58.201)
Epoch: [8][3960/5005] Time 0.200 (0.224) Data 0.046 (0.077) Loss 2.7659 (3.1538) Prec@1 40.234 (32.847) Prec@5 65.625 (58.204)
Epoch: [8][3970/5005] Time 0.211 (0.224) Data 0.050 (0.077) Loss 3.2641 (3.1538) Prec@1 32.422 (32.846) Prec@5 55.078 (58.205)
Epoch: [8][3980/5005] Time 0.199 (0.224) Data 0.049 (0.077) Loss 3.0152 (3.1537) Prec@1 33.984 (32.847) Prec@5 60.938 (58.207)
Epoch: [8][3990/5005] Time 0.212 (0.224) Data 0.044 (0.077) Loss 3.3105 (3.1539) Prec@1 30.469 (32.842) Prec@5 55.078 (58.204)
Epoch: [8][4000/5005] Time 0.204 (0.224) Data 0.043 (0.077) Loss 3.0693 (3.1538) Prec@1 35.938 (32.845) Prec@5 62.109 (58.205)
Epoch: [8][4010/5005] Time 0.208 (0.224) Data 0.043 (0.077) Loss 3.2903 (3.1536) Prec@1 29.297 (32.846) Prec@5 53.125 (58.207)
Epoch: [8][4020/5005] Time 0.327 (0.224) Data 0.238 (0.077) Loss 3.2312 (3.1536) Prec@1 38.281 (32.847) Prec@5 57.422 (58.208)
Epoch: [8][4030/5005] Time 0.194 (0.224) Data 0.080 (0.077) Loss 3.3128 (3.1538) Prec@1 31.641 (32.844) Prec@5 57.812 (58.205)
Epoch: [8][4040/5005] Time 0.198 (0.224) Data 0.048 (0.077) Loss 3.1140 (3.1539) Prec@1 31.250 (32.842) Prec@5 55.078 (58.203)
Epoch: [8][4050/5005] Time 0.200 (0.224) Data 0.044 (0.077) Loss 3.3893 (3.1540) Prec@1 28.516 (32.843) Prec@5 54.297 (58.203)
Epoch: [8][4060/5005] Time 0.194 (0.224) Data 0.051 (0.077) Loss 3.2224 (3.1539) Prec@1 27.734 (32.843) Prec@5 58.594 (58.206)
Epoch: [8][4070/5005] Time 0.259 (0.224) Data 0.176 (0.077) Loss 3.2320 (3.1538) Prec@1 32.812 (32.843) Prec@5 57.031 (58.208)
Epoch: [8][4080/5005] Time 0.199 (0.224) Data 0.043 (0.077) Loss 3.1884 (3.1537) Prec@1 30.078 (32.845) Prec@5 57.422 (58.209)
Epoch: [8][4090/5005] Time 0.200 (0.224) Data 0.043 (0.077) Loss 3.2464 (3.1537) Prec@1 33.594 (32.845) Prec@5 62.500 (58.209)
Epoch: [8][4100/5005] Time 0.204 (0.224) Data 0.051 (0.077) Loss 3.1326 (3.1536) Prec@1 32.812 (32.848) Prec@5 57.812 (58.210)
Epoch: [8][4110/5005] Time 0.216 (0.224) Data 0.046 (0.077) Loss 3.3080 (3.1536) Prec@1 32.812 (32.848) Prec@5 57.031 (58.211)
Epoch: [8][4120/5005] Time 0.201 (0.224) Data 0.045 (0.077) Loss 3.1127 (3.1534) Prec@1 31.250 (32.851) Prec@5 60.156 (58.213)
Epoch: [8][4130/5005] Time 0.367 (0.224) Data 0.289 (0.077) Loss 3.3725 (3.1534) Prec@1 29.297 (32.850) Prec@5 50.391 (58.212)
Epoch: [8][4140/5005] Time 0.211 (0.224) Data 0.043 (0.077) Loss 3.2812 (3.1534) Prec@1 32.031 (32.851) Prec@5 55.469 (58.213)
Epoch: [8][4150/5005] Time 0.199 (0.224) Data 0.083 (0.077) Loss 3.3289 (3.1534) Prec@1 30.469 (32.851) Prec@5 55.859 (58.213)
Epoch: [8][4160/5005] Time 0.197 (0.224) Data 0.049 (0.077) Loss 3.1200 (3.1536) Prec@1 30.469 (32.849) Prec@5 60.156 (58.212)
Epoch: [8][4170/5005] Time 0.205 (0.224) Data 0.045 (0.077) Loss 3.0219 (3.1534) Prec@1 30.859 (32.853) Prec@5 61.719 (58.216)
Epoch: [8][4180/5005] Time 0.201 (0.224) Data 0.044 (0.077) Loss 3.0108 (3.1533) Prec@1 33.203 (32.855) Prec@5 62.109 (58.218)
Epoch: [8][4190/5005] Time 0.205 (0.224) Data 0.040 (0.077) Loss 3.1063 (3.1532) Prec@1 33.594 (32.855) Prec@5 55.078 (58.218)
Epoch: [8][4200/5005] Time 0.206 (0.224) Data 0.117 (0.077) Loss 3.0310 (3.1532) Prec@1 33.984 (32.857) Prec@5 59.375 (58.221)
Epoch: [8][4210/5005] Time 0.193 (0.224) Data 0.048 (0.077) Loss 3.1321 (3.1531) Prec@1 30.078 (32.858) Prec@5 57.812 (58.220)
Epoch: [8][4220/5005] Time 0.206 (0.224) Data 0.046 (0.077) Loss 3.2883 (3.1532) Prec@1 29.297 (32.857) Prec@5 56.250 (58.218)
Epoch: [8][4230/5005] Time 0.198 (0.224) Data 0.047 (0.077) Loss 3.1189 (3.1531) Prec@1 33.203 (32.856) Prec@5 59.766 (58.222)
Epoch: [8][4240/5005] Time 0.205 (0.224) Data 0.041 (0.077) Loss 3.0552 (3.1532) Prec@1 33.594 (32.852) Prec@5 59.375 (58.221)
Epoch: [8][4250/5005] Time 0.199 (0.224) Data 0.064 (0.077) Loss 3.0248 (3.1530) Prec@1 35.156 (32.858) Prec@5 60.156 (58.223)
Epoch: [8][4260/5005] Time 0.199 (0.224) Data 0.055 (0.077) Loss 3.2180 (3.1530) Prec@1 31.250 (32.859) Prec@5 54.688 (58.224)
Epoch: [8][4270/5005] Time 0.194 (0.224) Data 0.064 (0.077) Loss 3.4613 (3.1532) Prec@1 26.562 (32.856) Prec@5 54.297 (58.221)
Epoch: [8][4280/5005] Time 0.239 (0.224) Data 0.158 (0.077) Loss 3.2936 (3.1531) Prec@1 29.688 (32.856) Prec@5 56.250 (58.225)
Epoch: [8][4290/5005] Time 0.197 (0.224) Data 0.054 (0.077) Loss 3.2970 (3.1531) Prec@1 34.766 (32.857) Prec@5 55.859 (58.223)
Epoch: [8][4300/5005] Time 0.199 (0.224) Data 0.040 (0.077) Loss 2.9493 (3.1529) Prec@1 34.766 (32.857) Prec@5 59.766 (58.224)
Epoch: [8][4310/5005] Time 0.382 (0.224) Data 0.297 (0.077) Loss 3.0579 (3.1529) Prec@1 32.812 (32.858) Prec@5 55.469 (58.224)
Epoch: [8][4320/5005] Time 0.433 (0.224) Data 0.347 (0.077) Loss 3.2466 (3.1530) Prec@1 34.375 (32.859) Prec@5 57.031 (58.223)
Epoch: [8][4330/5005] Time 0.200 (0.224) Data 0.040 (0.077) Loss 3.0024 (3.1528) Prec@1 32.422 (32.860) Prec@5 61.719 (58.224)
Epoch: [8][4340/5005] Time 0.204 (0.224) Data 0.045 (0.077) Loss 3.1329 (3.1530) Prec@1 28.906 (32.857) Prec@5 59.766 (58.223)
Epoch: [8][4350/5005] Time 0.251 (0.224) Data 0.165 (0.077) Loss 3.0771 (3.1528) Prec@1 35.547 (32.858) Prec@5 60.156 (58.228)
Epoch: [8][4360/5005] Time 0.203 (0.224) Data 0.041 (0.078) Loss 3.2960 (3.1528) Prec@1 30.469 (32.857) Prec@5 57.031 (58.227)
Epoch: [8][4370/5005] Time 0.212 (0.225) Data 0.045 (0.078) Loss 3.1903 (3.1528) Prec@1 33.984 (32.856) Prec@5 57.812 (58.227)
Epoch: [8][4380/5005] Time 0.199 (0.225) Data 0.045 (0.078) Loss 3.2210 (3.1527) Prec@1 32.812 (32.859) Prec@5 56.641 (58.228)
Epoch: [8][4390/5005] Time 0.200 (0.225) Data 0.043 (0.078) Loss 3.1786 (3.1524) Prec@1 32.031 (32.867) Prec@5 58.594 (58.234)
Epoch: [8][4400/5005] Time 0.198 (0.225) Data 0.056 (0.078) Loss 3.0522 (3.1524) Prec@1 31.641 (32.868) Prec@5 57.422 (58.232)
Epoch: [8][4410/5005] Time 0.200 (0.224) Data 0.081 (0.078) Loss 3.1377 (3.1523) Prec@1 32.812 (32.868) Prec@5 58.203 (58.232)
Epoch: [8][4420/5005] Time 0.340 (0.224) Data 0.249 (0.078) Loss 2.7795 (3.1522) Prec@1 40.625 (32.868) Prec@5 62.109 (58.232)
Epoch: [8][4430/5005] Time 0.198 (0.224) Data 0.090 (0.078) Loss 3.1636 (3.1519) Prec@1 31.641 (32.873) Prec@5 53.516 (58.236)
Epoch: [8][4440/5005] Time 0.206 (0.224) Data 0.041 (0.078) Loss 3.2561 (3.1518) Prec@1 30.078 (32.874) Prec@5 53.125 (58.236)
Epoch: [8][4450/5005] Time 0.319 (0.224) Data 0.239 (0.078) Loss 3.0186 (3.1518) Prec@1 36.719 (32.874) Prec@5 62.109 (58.237)
Epoch: [8][4460/5005] Time 0.204 (0.224) Data 0.040 (0.078) Loss 3.2098 (3.1518) Prec@1 33.203 (32.874) Prec@5 59.766 (58.237)
Epoch: [8][4470/5005] Time 0.192 (0.224) Data 0.046 (0.078) Loss 3.1795 (3.1518) Prec@1 32.422 (32.873) Prec@5 59.375 (58.236)
Epoch: [8][4480/5005] Time 0.197 (0.224) Data 0.048 (0.078) Loss 2.8553 (3.1519) Prec@1 37.891 (32.872) Prec@5 62.891 (58.235)
Epoch: [8][4490/5005] Time 0.194 (0.224) Data 0.045 (0.078) Loss 3.1217 (3.1520) Prec@1 33.594 (32.869) Prec@5 58.984 (58.232)
Epoch: [8][4500/5005] Time 0.202 (0.224) Data 0.044 (0.078) Loss 3.0702 (3.1519) Prec@1 32.422 (32.868) Prec@5 63.281 (58.235)
Epoch: [8][4510/5005] Time 0.197 (0.224) Data 0.049 (0.078) Loss 3.0492 (3.1520) Prec@1 32.812 (32.865) Prec@5 61.719 (58.231)
Epoch: [8][4520/5005] Time 0.200 (0.224) Data 0.048 (0.078) Loss 3.1496 (3.1518) Prec@1 33.984 (32.871) Prec@5 58.594 (58.234)
Epoch: [8][4530/5005] Time 0.312 (0.225) Data 0.227 (0.078) Loss 2.9636 (3.1517) Prec@1 35.547 (32.873) Prec@5 64.062 (58.238)
Epoch: [8][4540/5005] Time 0.199 (0.225) Data 0.048 (0.078) Loss 3.2791 (3.1520) Prec@1 30.078 (32.869) Prec@5 57.812 (58.236)
Epoch: [8][4550/5005] Time 0.195 (0.225) Data 0.053 (0.078) Loss 3.1663 (3.1519) Prec@1 33.984 (32.869) Prec@5 56.641 (58.237)
Epoch: [8][4560/5005] Time 0.201 (0.224) Data 0.040 (0.078) Loss 3.3127 (3.1519) Prec@1 29.688 (32.870) Prec@5 55.469 (58.240)
Epoch: [8][4570/5005] Time 0.538 (0.225) Data 0.452 (0.078) Loss 3.2032 (3.1518) Prec@1 28.906 (32.869) Prec@5 61.719 (58.241)
Epoch: [8][4580/5005] Time 0.194 (0.225) Data 0.044 (0.078) Loss 3.2675 (3.1517) Prec@1 28.906 (32.872) Prec@5 55.859 (58.242)
Epoch: [8][4590/5005] Time 0.193 (0.225) Data 0.061 (0.078) Loss 2.9863 (3.1517) Prec@1 36.328 (32.873) Prec@5 62.500 (58.242)
Epoch: [8][4600/5005] Time 0.209 (0.225) Data 0.050 (0.078) Loss 2.8206 (3.1518) Prec@1 41.406 (32.873) Prec@5 63.672 (58.238)
Epoch: [8][4610/5005] Time 0.206 (0.224) Data 0.048 (0.078) Loss 3.0626 (3.1518) Prec@1 32.031 (32.875) Prec@5 60.156 (58.239)
Epoch: [8][4620/5005] Time 0.203 (0.224) Data 0.044 (0.078) Loss 3.0252 (3.1518) Prec@1 38.281 (32.876) Prec@5 58.203 (58.239)
Epoch: [8][4630/5005] Time 0.202 (0.224) Data 0.082 (0.078) Loss 2.9844 (3.1517) Prec@1 37.109 (32.877) Prec@5 61.719 (58.239)
Epoch: [8][4640/5005] Time 0.197 (0.224) Data 0.048 (0.078) Loss 3.0767 (3.1517) Prec@1 33.203 (32.877) Prec@5 60.547 (58.239)
Epoch: [8][4650/5005] Time 0.202 (0.224) Data 0.048 (0.078) Loss 3.1317 (3.1516) Prec@1 31.641 (32.878) Prec@5 58.594 (58.241)
Epoch: [8][4660/5005] Time 0.235 (0.224) Data 0.157 (0.078) Loss 3.4452 (3.1517) Prec@1 29.297 (32.878) Prec@5 52.344 (58.242)
Epoch: [8][4670/5005] Time 0.327 (0.224) Data 0.242 (0.078) Loss 3.0595 (3.1515) Prec@1 30.859 (32.879) Prec@5 58.984 (58.244)
Epoch: [8][4680/5005] Time 0.207 (0.224) Data 0.050 (0.078) Loss 3.0171 (3.1515) Prec@1 31.250 (32.879) Prec@5 63.281 (58.245)
Epoch: [8][4690/5005] Time 0.210 (0.224) Data 0.052 (0.078) Loss 3.2185 (3.1515) Prec@1 33.594 (32.878) Prec@5 55.078 (58.245)
Epoch: [8][4700/5005] Time 0.244 (0.224) Data 0.159 (0.078) Loss 2.9943 (3.1514) Prec@1 34.375 (32.879) Prec@5 60.938 (58.248)
Epoch: [8][4710/5005] Time 0.215 (0.224) Data 0.047 (0.078) Loss 3.1433 (3.1511) Prec@1 33.594 (32.883) Prec@5 55.859 (58.252)
Epoch: [8][4720/5005] Time 0.196 (0.224) Data 0.045 (0.078) Loss 2.9633 (3.1511) Prec@1 35.547 (32.886) Prec@5 64.062 (58.253)
Epoch: [8][4730/5005] Time 0.194 (0.224) Data 0.051 (0.078) Loss 3.1241 (3.1513) Prec@1 35.156 (32.884) Prec@5 57.031 (58.250)
Epoch: [8][4740/5005] Time 0.207 (0.224) Data 0.049 (0.078) Loss 3.1488 (3.1512) Prec@1 31.641 (32.884) Prec@5 60.938 (58.252)
Epoch: [8][4750/5005] Time 0.206 (0.225) Data 0.058 (0.078) Loss 3.1593 (3.1512) Prec@1 32.812 (32.884) Prec@5 53.906 (58.253)
Epoch: [8][4760/5005] Time 0.205 (0.224) Data 0.043 (0.078) Loss 3.4740 (3.1512) Prec@1 27.734 (32.886) Prec@5 52.344 (58.252)
Epoch: [8][4770/5005] Time 0.204 (0.224) Data 0.040 (0.078) Loss 2.9162 (3.1510) Prec@1 39.844 (32.892) Prec@5 65.234 (58.253)
Epoch: [8][4780/5005] Time 0.212 (0.224) Data 0.046 (0.078) Loss 3.2747 (3.1511) Prec@1 32.031 (32.894) Prec@5 57.812 (58.252)
Epoch: [8][4790/5005] Time 0.194 (0.224) Data 0.059 (0.078) Loss 3.3242 (3.1511) Prec@1 33.984 (32.895) Prec@5 58.203 (58.252)
Epoch: [8][4800/5005] Time 0.210 (0.224) Data 0.044 (0.078) Loss 3.2212 (3.1509) Prec@1 28.906 (32.896) Prec@5 55.859 (58.255)
Epoch: [8][4810/5005] Time 0.194 (0.224) Data 0.064 (0.078) Loss 3.2285 (3.1508) Prec@1 31.250 (32.895) Prec@5 55.859 (58.256)
Epoch: [8][4820/5005] Time 0.200 (0.225) Data 0.051 (0.078) Loss 3.2799 (3.1507) Prec@1 30.469 (32.898) Prec@5 56.250 (58.258)
Epoch: [8][4830/5005] Time 0.202 (0.225) Data 0.042 (0.078) Loss 3.1794 (3.1506) Prec@1 32.812 (32.901) Prec@5 57.031 (58.259)
Epoch: [8][4840/5005] Time 0.204 (0.225) Data 0.059 (0.078) Loss 2.8293 (3.1506) Prec@1 38.281 (32.901) Prec@5 64.453 (58.260)
Epoch: [8][4850/5005] Time 0.206 (0.225) Data 0.065 (0.078) Loss 3.2757 (3.1508) Prec@1 30.078 (32.899) Prec@5 56.641 (58.256)
Epoch: [8][4860/5005] Time 0.371 (0.224) Data 0.281 (0.078) Loss 3.1426 (3.1507) Prec@1 33.594 (32.901) Prec@5 58.594 (58.258)
Epoch: [8][4870/5005] Time 0.195 (0.224) Data 0.046 (0.078) Loss 3.0618 (3.1507) Prec@1 32.812 (32.900) Prec@5 61.328 (58.259)
Epoch: [8][4880/5005] Time 0.218 (0.224) Data 0.131 (0.078) Loss 2.9981 (3.1506) Prec@1 35.938 (32.903) Prec@5 60.547 (58.262)
Epoch: [8][4890/5005] Time 0.357 (0.224) Data 0.266 (0.078) Loss 3.1673 (3.1506) Prec@1 31.250 (32.902) Prec@5 55.078 (58.260)
Epoch: [8][4900/5005] Time 0.202 (0.224) Data 0.056 (0.078) Loss 3.0746 (3.1505) Prec@1 29.688 (32.901) Prec@5 61.328 (58.261)
Epoch: [8][4910/5005] Time 0.198 (0.224) Data 0.122 (0.078) Loss 2.9296 (3.1502) Prec@1 33.594 (32.905) Prec@5 65.625 (58.266)
Epoch: [8][4920/5005] Time 0.197 (0.224) Data 0.042 (0.078) Loss 3.2445 (3.1502) Prec@1 28.516 (32.903) Prec@5 55.078 (58.265)
Epoch: [8][4930/5005] Time 0.201 (0.224) Data 0.039 (0.078) Loss 3.2615 (3.1502) Prec@1 30.469 (32.903) Prec@5 52.344 (58.264)
Epoch: [8][4940/5005] Time 0.195 (0.225) Data 0.043 (0.078) Loss 3.1296 (3.1503) Prec@1 37.891 (32.902) Prec@5 58.203 (58.262)
Epoch: [8][4950/5005] Time 0.195 (0.225) Data 0.041 (0.079) Loss 2.8470 (3.1502) Prec@1 37.500 (32.902) Prec@5 66.016 (58.262)
Epoch: [8][4960/5005] Time 0.193 (0.225) Data 0.043 (0.078) Loss 3.3170 (3.1502) Prec@1 26.953 (32.901) Prec@5 58.594 (58.265)
Epoch: [8][4970/5005] Time 0.200 (0.225) Data 0.039 (0.078) Loss 3.2856 (3.1501) Prec@1 26.172 (32.900) Prec@5 55.078 (58.266)
Epoch: [8][4980/5005] Time 0.202 (0.225) Data 0.045 (0.079) Loss 3.1372 (3.1499) Prec@1 32.812 (32.904) Prec@5 60.156 (58.270)
Epoch: [8][4990/5005] Time 0.207 (0.225) Data 0.032 (0.078) Loss 3.3406 (3.1498) Prec@1 30.078 (32.908) Prec@5 53.516 (58.272)
Epoch: [8][5000/5005] Time 0.202 (0.224) Data 0.034 (0.078) Loss 3.0720 (3.1498) Prec@1 33.203 (32.906) Prec@5 62.500 (58.271)
Test: [0/196] Time 2.543 (2.543) Loss 2.9974 (2.9974) Prec@1 36.719 (36.719) Prec@5 58.203 (58.203)
Test: [10/196] Time 0.047 (0.377) Loss 3.0758 (3.1795) Prec@1 39.062 (33.345) Prec@5 60.547 (56.996)
Test: [20/196] Time 0.064 (0.301) Loss 3.1267 (3.1788) Prec@1 32.422 (33.092) Prec@5 58.203 (57.682)
Test: [30/196] Time 0.236 (0.275) Loss 3.1162 (3.2022) Prec@1 33.203 (32.586) Prec@5 58.203 (57.145)
Test: [40/196] Time 1.098 (0.279) Loss 3.0270 (3.1988) Prec@1 30.078 (32.841) Prec@5 62.500 (57.393)
Test: [50/196] Time 0.043 (0.266) Loss 3.2886 (3.2103) Prec@1 26.562 (32.430) Prec@5 60.156 (57.468)
Test: [60/196] Time 0.043 (0.257) Loss 3.0271 (3.1970) Prec@1 37.891 (32.761) Prec@5 59.375 (57.691)
Test: [70/196] Time 0.399 (0.249) Loss 3.1638 (3.1873) Prec@1 28.906 (32.906) Prec@5 57.031 (57.939)
Test: [80/196] Time 0.089 (0.241) Loss 2.9615 (3.1918) Prec@1 36.328 (32.832) Prec@5 63.281 (57.841)
Test: [90/196] Time 0.653 (0.244) Loss 3.2451 (3.1971) Prec@1 33.594 (32.684) Prec@5 58.984 (57.709)
Test: [100/196] Time 0.042 (0.241) Loss 3.4114 (3.1963) Prec@1 31.250 (32.782) Prec@5 55.078 (57.754)
Test: [110/196] Time 0.298 (0.239) Loss 3.4295 (3.1975) Prec@1 30.469 (32.756) Prec@5 54.297 (57.735)
Test: [120/196] Time 0.321 (0.240) Loss 3.0096 (3.1942) Prec@1 32.031 (32.751) Prec@5 61.328 (57.754)
Test: [130/196] Time 0.084 (0.234) Loss 2.8778 (3.1911) Prec@1 37.500 (32.798) Prec@5 62.891 (57.821)
Test: [140/196] Time 0.385 (0.236) Loss 3.0092 (3.1918) Prec@1 33.984 (32.774) Prec@5 59.766 (57.746)
Test: [150/196] Time 0.043 (0.236) Loss 2.9375 (3.1892) Prec@1 31.641 (32.807) Prec@5 63.281 (57.810)
Test: [160/196] Time 0.045 (0.236) Loss 3.0752 (3.1877) Prec@1 38.281 (32.883) Prec@5 61.328 (57.800)
Test: [170/196] Time 0.043 (0.233) Loss 2.9874 (3.1884) Prec@1 35.547 (32.863) Prec@5 62.109 (57.787)
Test: [180/196] Time 0.338 (0.234) Loss 3.4104 (3.1922) Prec@1 28.516 (32.800) Prec@5 52.734 (57.726)
Test: [190/196] Time 0.046 (0.232) Loss 3.3663 (3.1935) Prec@1 32.422 (32.782) Prec@5 53.906 (57.659)
* Prec@1 32.742 Prec@5 57.674
Learning rate: 0.001
Epoch: [9][0/5005] Time 2.261 (2.261) Data 2.165 (2.165) Loss 2.9662 (2.9662) Prec@1 37.109 (37.109) Prec@5 59.766 (59.766)
Epoch: [9][10/5005] Time 0.199 (0.387) Data 0.046 (0.243) Loss 2.9378 (3.0611) Prec@1 35.156 (34.020) Prec@5 65.625 (60.440)
Epoch: [9][20/5005] Time 0.199 (0.297) Data 0.045 (0.149) Loss 3.2364 (3.1067) Prec@1 35.156 (33.557) Prec@5 56.250 (59.338)
Epoch: [9][30/5005] Time 0.195 (0.266) Data 0.041 (0.116) Loss 3.1176 (3.0869) Prec@1 36.719 (33.657) Prec@5 56.641 (59.362)
Epoch: [9][40/5005] Time 0.201 (0.250) Data 0.044 (0.099) Loss 3.0285 (3.0960) Prec@1 34.375 (33.756) Prec@5 60.156 (59.232)
Epoch: [9][50/5005] Time 0.200 (0.240) Data 0.041 (0.088) Loss 2.9496 (3.0887) Prec@1 34.375 (33.877) Prec@5 62.891 (59.229)
Epoch: [9][60/5005] Time 0.237 (0.235) Data 0.045 (0.081) Loss 2.9892 (3.0901) Prec@1 33.594 (33.869) Prec@5 64.062 (59.241)
Epoch: [9][70/5005] Time 0.209 (0.231) Data 0.042 (0.076) Loss 3.0912 (3.1086) Prec@1 34.766 (33.539) Prec@5 56.641 (58.836)
Epoch: [9][80/5005] Time 0.207 (0.227) Data 0.046 (0.073) Loss 3.0402 (3.1036) Prec@1 35.547 (33.584) Prec@5 61.719 (58.951)
Epoch: [9][90/5005] Time 0.198 (0.225) Data 0.043 (0.069) Loss 3.0894 (3.1017) Prec@1 35.156 (33.692) Prec@5 57.812 (59.083)
Epoch: [9][100/5005] Time 0.198 (0.224) Data 0.042 (0.067) Loss 3.0036 (3.1014) Prec@1 34.766 (33.690) Prec@5 62.891 (58.996)
Epoch: [9][110/5005] Time 0.204 (0.222) Data 0.040 (0.065) Loss 3.1659 (3.1044) Prec@1 35.156 (33.812) Prec@5 57.422 (59.055)
Epoch: [9][120/5005] Time 0.199 (0.220) Data 0.039 (0.063) Loss 3.2726 (3.1120) Prec@1 31.641 (33.765) Prec@5 53.516 (58.846)
Epoch: [9][130/5005] Time 0.204 (0.219) Data 0.050 (0.062) Loss 3.1669 (3.1119) Prec@1 33.594 (33.743) Prec@5 56.641 (58.808)
Epoch: [9][140/5005] Time 0.215 (0.217) Data 0.130 (0.062) Loss 3.0358 (3.1141) Prec@1 34.375 (33.666) Prec@5 59.766 (58.782)
Epoch: [9][150/5005] Time 0.195 (0.219) Data 0.062 (0.065) Loss 3.3313 (3.1171) Prec@1 33.984 (33.669) Prec@5 55.078 (58.777)
Epoch: [9][160/5005] Time 0.194 (0.220) Data 0.045 (0.067) Loss 3.0389 (3.1171) Prec@1 32.422 (33.635) Prec@5 57.812 (58.768)
Epoch: [9][170/5005] Time 0.197 (0.220) Data 0.118 (0.069) Loss 3.3299 (3.1207) Prec@1 29.688 (33.546) Prec@5 55.859 (58.713)
Epoch: [9][180/5005] Time 0.238 (0.223) Data 0.152 (0.073) Loss 3.2790 (3.1194) Prec@1 31.250 (33.561) Prec@5 55.078 (58.749)
Epoch: [9][190/5005] Time 0.207 (0.225) Data 0.059 (0.075) Loss 3.1484 (3.1253) Prec@1 33.594 (33.489) Prec@5 57.422 (58.674)
Epoch: [9][200/5005] Time 0.210 (0.226) Data 0.054 (0.076) Loss 3.2728 (3.1272) Prec@1 30.078 (33.452) Prec@5 53.125 (58.675)
Epoch: [9][210/5005] Time 0.226 (0.226) Data 0.045 (0.075) Loss 2.8446 (3.1268) Prec@1 39.844 (33.488) Prec@5 63.281 (58.638)
Epoch: [9][220/5005] Time 0.215 (0.227) Data 0.048 (0.076) Loss 3.2650 (3.1275) Prec@1 32.031 (33.479) Prec@5 58.984 (58.634)
Epoch: [9][230/5005] Time 0.216 (0.227) Data 0.061 (0.077) Loss 3.1195 (3.1271) Prec@1 33.594 (33.453) Prec@5 57.422 (58.661)
Epoch: [9][240/5005] Time 0.205 (0.227) Data 0.044 (0.077) Loss 3.0679 (3.1269) Prec@1 35.547 (33.420) Prec@5 59.375 (58.639)
Epoch: [9][250/5005] Time 0.648 (0.229) Data 0.560 (0.080) Loss 3.3017 (3.1263) Prec@1 31.250 (33.435) Prec@5 55.859 (58.642)
Epoch: [9][260/5005] Time 0.198 (0.229) Data 0.115 (0.080) Loss 3.0071 (3.1267) Prec@1 32.812 (33.452) Prec@5 57.812 (58.652)
Epoch: [9][270/5005] Time 0.204 (0.229) Data 0.047 (0.080) Loss 3.0814 (3.1249) Prec@1 34.766 (33.471) Prec@5 60.547 (58.663)
Epoch: [9][280/5005] Time 0.211 (0.230) Data 0.045 (0.081) Loss 3.5690 (3.1285) Prec@1 26.172 (33.427) Prec@5 51.562 (58.599)
Epoch: [9][290/5005] Time 0.209 (0.231) Data 0.065 (0.082) Loss 3.0494 (3.1304) Prec@1 33.203 (33.360) Prec@5 58.984 (58.532)
Epoch: [9][300/5005] Time 0.212 (0.230) Data 0.056 (0.082) Loss 2.9587 (3.1307) Prec@1 36.719 (33.361) Prec@5 62.891 (58.531)
Epoch: [9][310/5005] Time 0.201 (0.230) Data 0.049 (0.082) Loss 2.9759 (3.1279) Prec@1 34.375 (33.389) Prec@5 61.719 (58.599)
Epoch: [9][320/5005] Time 0.213 (0.232) Data 0.044 (0.081) Loss 3.3226 (3.1290) Prec@1 32.422 (33.405) Prec@5 53.906 (58.597)
Epoch: [9][330/5005] Time 0.217 (0.232) Data 0.046 (0.080) Loss 2.8110 (3.1263) Prec@1 39.062 (33.440) Prec@5 63.281 (58.627)
Epoch: [9][340/5005] Time 0.203 (0.231) Data 0.093 (0.080) Loss 3.3358 (3.1309) Prec@1 30.859 (33.376) Prec@5 56.250 (58.535)
Epoch: [9][350/5005] Time 0.224 (0.232) Data 0.067 (0.082) Loss 3.3810 (3.1312) Prec@1 30.078 (33.367) Prec@5 51.953 (58.510)
Epoch: [9][360/5005] Time 0.214 (0.232) Data 0.040 (0.082) Loss 3.1983 (3.1312) Prec@1 30.859 (33.360) Prec@5 57.812 (58.503)
Epoch: [9][370/5005] Time 0.215 (0.231) Data 0.042 (0.081) Loss 3.2273 (3.1297) Prec@1 31.250 (33.369) Prec@5 55.078 (58.526)
Epoch: [9][380/5005] Time 0.213 (0.231) Data 0.040 (0.079) Loss 3.1318 (3.1306) Prec@1 34.375 (33.374) Prec@5 57.422 (58.497)
Epoch: [9][390/5005] Time 0.215 (0.230) Data 0.042 (0.079) Loss 3.0658 (3.1311) Prec@1 34.766 (33.365) Prec@5 58.594 (58.466)
Epoch: [9][400/5005] Time 0.218 (0.230) Data 0.045 (0.078) Loss 3.1055 (3.1305) Prec@1 32.031 (33.357) Prec@5 61.328 (58.493)
Epoch: [9][410/5005] Time 0.213 (0.230) Data 0.039 (0.077) Loss 2.8151 (3.1300) Prec@1 35.156 (33.359) Prec@5 61.719 (58.495)
Epoch: [9][420/5005] Time 0.205 (0.229) Data 0.063 (0.076) Loss 2.9946 (3.1284) Prec@1 35.547 (33.372) Prec@5 62.500 (58.528)
Epoch: [9][430/5005] Time 0.221 (0.229) Data 0.049 (0.075) Loss 2.9666 (3.1291) Prec@1 36.328 (33.354) Prec@5 64.453 (58.516)
Epoch: [9][440/5005] Time 0.224 (0.229) Data 0.044 (0.075) Loss 3.0689 (3.1283) Prec@1 35.156 (33.343) Prec@5 57.812 (58.523)
Epoch: [9][450/5005] Time 0.213 (0.228) Data 0.065 (0.074) Loss 3.0684 (3.1286) Prec@1 34.375 (33.320) Prec@5 55.469 (58.511)
Epoch: [9][460/5005] Time 0.213 (0.228) Data 0.042 (0.074) Loss 3.0781 (3.1300) Prec@1 33.203 (33.280) Prec@5 59.766 (58.484)
Epoch: [9][470/5005] Time 0.206 (0.228) Data 0.042 (0.073) Loss 3.0668 (3.1309) Prec@1 33.594 (33.266) Prec@5 58.984 (58.479)
Epoch: [9][480/5005] Time 0.224 (0.227) Data 0.043 (0.073) Loss 3.1562 (3.1309) Prec@1 35.547 (33.278) Prec@5 59.766 (58.487)
Epoch: [9][490/5005] Time 0.218 (0.227) Data 0.038 (0.072) Loss 3.0925 (3.1314) Prec@1 33.984 (33.255) Prec@5 61.328 (58.480)
Epoch: [9][500/5005] Time 0.213 (0.227) Data 0.039 (0.071) Loss 3.1780 (3.1331) Prec@1 32.422 (33.241) Prec@5 59.766 (58.442)
Epoch: [9][510/5005] Time 0.213 (0.227) Data 0.045 (0.071) Loss 3.3825 (3.1343) Prec@1 30.078 (33.234) Prec@5 54.297 (58.438)
Epoch: [9][520/5005] Time 0.214 (0.226) Data 0.040 (0.071) Loss 3.1387 (3.1341) Prec@1 31.250 (33.247) Prec@5 57.812 (58.447)
Epoch: [9][530/5005] Time 0.216 (0.226) Data 0.059 (0.070) Loss 3.0701 (3.1342) Prec@1 35.547 (33.235) Prec@5 60.547 (58.458)
Epoch: [9][540/5005] Time 0.214 (0.226) Data 0.040 (0.070) Loss 3.3143 (3.1345) Prec@1 28.906 (33.219) Prec@5 56.641 (58.452)
Epoch: [9][550/5005] Time 0.222 (0.226) Data 0.041 (0.069) Loss 3.1195 (3.1340) Prec@1 35.938 (33.240) Prec@5 61.328 (58.463)
Epoch: [9][560/5005] Time 0.222 (0.225) Data 0.049 (0.069) Loss 3.2465 (3.1334) Prec@1 32.422 (33.238) Prec@5 55.859 (58.471)
Epoch: [9][570/5005] Time 0.207 (0.225) Data 0.048 (0.069) Loss 3.1949 (3.1338) Prec@1 31.641 (33.224) Prec@5 56.641 (58.451)
Epoch: [9][580/5005] Time 0.217 (0.225) Data 0.045 (0.068) Loss 3.0118 (3.1326) Prec@1 36.328 (33.235) Prec@5 60.938 (58.476)
Epoch: [9][590/5005] Time 0.204 (0.225) Data 0.052 (0.068) Loss 3.2718 (3.1326) Prec@1 30.469 (33.234) Prec@5 55.469 (58.472)
Epoch: [9][600/5005] Time 0.213 (0.225) Data 0.047 (0.067) Loss 3.1417 (3.1332) Prec@1 31.250 (33.208) Prec@5 63.281 (58.493)
Epoch: [9][610/5005] Time 0.207 (0.224) Data 0.040 (0.067) Loss 3.0560 (3.1329) Prec@1 31.641 (33.208) Prec@5 61.719 (58.490)
Epoch: [9][620/5005] Time 0.200 (0.224) Data 0.044 (0.067) Loss 3.0847 (3.1329) Prec@1 33.984 (33.210) Prec@5 58.984 (58.483)
Epoch: [9][630/5005] Time 0.221 (0.224) Data 0.041 (0.066) Loss 3.1952 (3.1324) Prec@1 30.859 (33.222) Prec@5 57.422 (58.506)
Epoch: [9][640/5005] Time 0.220 (0.224) Data 0.042 (0.066) Loss 2.9616 (3.1316) Prec@1 29.688 (33.213) Prec@5 60.547 (58.529)
Epoch: [9][650/5005] Time 0.209 (0.224) Data 0.046 (0.066) Loss 3.3766 (3.1329) Prec@1 30.859 (33.206) Prec@5 55.859 (58.511)
Epoch: [9][660/5005] Time 0.218 (0.224) Data 0.043 (0.065) Loss 3.2863 (3.1324) Prec@1 26.953 (33.207) Prec@5 56.641 (58.526)
Epoch: [9][670/5005] Time 0.218 (0.224) Data 0.044 (0.065) Loss 3.3267 (3.1324) Prec@1 30.469 (33.219) Prec@5 56.641 (58.522)
Epoch: [9][680/5005] Time 0.221 (0.224) Data 0.044 (0.065) Loss 3.0764 (3.1326) Prec@1 28.906 (33.193) Prec@5 60.156 (58.515)
Epoch: [9][690/5005] Time 0.215 (0.223) Data 0.043 (0.065) Loss 2.9372 (3.1321) Prec@1 32.422 (33.185) Prec@5 62.109 (58.529)
Epoch: [9][700/5005] Time 0.216 (0.223) Data 0.043 (0.064) Loss 3.1730 (3.1317) Prec@1 35.156 (33.188) Prec@5 55.469 (58.524)
Epoch: [9][710/5005] Time 0.210 (0.223) Data 0.039 (0.064) Loss 2.9804 (3.1310) Prec@1 33.203 (33.189) Prec@5 58.594 (58.529)
Epoch: [9][720/5005] Time 0.203 (0.223) Data 0.043 (0.064) Loss 3.0800 (3.1301) Prec@1 32.422 (33.207) Prec@5 61.719 (58.533)
Epoch: [9][730/5005] Time 0.208 (0.223) Data 0.042 (0.063) Loss 3.2818 (3.1304) Prec@1 31.641 (33.207) Prec@5 55.859 (58.533)
Epoch: [9][740/5005] Time 0.212 (0.223) Data 0.054 (0.063) Loss 3.1893 (3.1304) Prec@1 35.156 (33.208) Prec@5 56.641 (58.525)
Epoch: [9][750/5005] Time 0.216 (0.223) Data 0.040 (0.063) Loss 2.9809 (3.1304) Prec@1 35.156 (33.200) Prec@5 62.891 (58.526)
Epoch: [9][760/5005] Time 0.207 (0.222) Data 0.042 (0.063) Loss 3.1604 (3.1311) Prec@1 32.422 (33.189) Prec@5 58.594 (58.521)
Epoch: [9][770/5005] Time 0.208 (0.222) Data 0.045 (0.062) Loss 3.0594 (3.1294) Prec@1 33.203 (33.205) Prec@5 56.641 (58.544)
Epoch: [9][780/5005] Time 0.210 (0.222) Data 0.041 (0.062) Loss 3.2195 (3.1292) Prec@1 30.078 (33.199) Prec@5 54.688 (58.543)
Epoch: [9][790/5005] Time 0.212 (0.222) Data 0.040 (0.062) Loss 3.2327 (3.1293) Prec@1 31.250 (33.211) Prec@5 59.766 (58.559)
Epoch: [9][800/5005] Time 0.227 (0.222) Data 0.045 (0.062) Loss 2.9645 (3.1279) Prec@1 35.547 (33.253) Prec@5 59.375 (58.587)
Epoch: [9][810/5005] Time 0.220 (0.222) Data 0.046 (0.062) Loss 3.2284 (3.1284) Prec@1 32.031 (33.244) Prec@5 55.859 (58.584)
Epoch: [9][820/5005] Time 0.201 (0.222) Data 0.086 (0.063) Loss 3.2987 (3.1291) Prec@1 32.812 (33.240) Prec@5 51.953 (58.580)
Epoch: [9][830/5005] Time 0.210 (0.223) Data 0.047 (0.063) Loss 3.0708 (3.1293) Prec@1 37.109 (33.240) Prec@5 60.938 (58.587)
Epoch: [9][840/5005] Time 0.208 (0.223) Data 0.051 (0.064) Loss 2.9601 (3.1291) Prec@1 39.062 (33.240) Prec@5 61.719 (58.607)
Epoch: [9][850/5005] Time 0.341 (0.223) Data 0.258 (0.064) Loss 3.2342 (3.1284) Prec@1 32.031 (33.237) Prec@5 60.938 (58.630)
Epoch: [9][860/5005] Time 0.201 (0.223) Data 0.044 (0.064) Loss 3.1518 (3.1280) Prec@1 32.422 (33.248) Prec@5 57.031 (58.638)
Epoch: [9][870/5005] Time 0.209 (0.223) Data 0.047 (0.064) Loss 3.2702 (3.1266) Prec@1 31.641 (33.275) Prec@5 58.594 (58.661)
Epoch: [9][880/5005] Time 0.212 (0.223) Data 0.047 (0.064) Loss 3.0688 (3.1272) Prec@1 33.594 (33.271) Prec@5 59.375 (58.647)
Epoch: [9][890/5005] Time 0.202 (0.223) Data 0.046 (0.065) Loss 3.3378 (3.1273) Prec@1 32.031 (33.269) Prec@5 52.344 (58.629)
Epoch: [9][900/5005] Time 0.214 (0.223) Data 0.047 (0.065) Loss 3.0424 (3.1267) Prec@1 35.156 (33.267) Prec@5 61.328 (58.633)
Epoch: [9][910/5005] Time 0.425 (0.223) Data 0.339 (0.065) Loss 3.0263 (3.1263) Prec@1 32.422 (33.267) Prec@5 63.281 (58.635)
Epoch: [9][920/5005] Time 0.204 (0.223) Data 0.051 (0.065) Loss 3.0712 (3.1254) Prec@1 35.156 (33.288) Prec@5 59.375 (58.665)
Epoch: [9][930/5005] Time 0.202 (0.223) Data 0.041 (0.066) Loss 3.0786 (3.1252) Prec@1 35.156 (33.298) Prec@5 58.203 (58.669)
Epoch: [9][940/5005] Time 0.205 (0.224) Data 0.040 (0.067) Loss 3.0541 (3.1254) Prec@1 33.984 (33.297) Prec@5 57.812 (58.669)
Epoch: [9][950/5005] Time 0.203 (0.225) Data 0.047 (0.067) Loss 3.1767 (3.1260) Prec@1 31.250 (33.289) Prec@5 58.984 (58.659)
Epoch: [9][960/5005] Time 0.287 (0.225) Data 0.207 (0.068) Loss 3.3628 (3.1260) Prec@1 31.250 (33.299) Prec@5 52.344 (58.664)
Epoch: [9][970/5005] Time 0.350 (0.226) Data 0.258 (0.069) Loss 2.9673 (3.1256) Prec@1 35.547 (33.299) Prec@5 58.203 (58.673)
Epoch: [9][980/5005] Time 0.215 (0.226) Data 0.104 (0.070) Loss 2.9721 (3.1250) Prec@1 35.156 (33.311) Prec@5 61.328 (58.679)
Epoch: [9][990/5005] Time 0.205 (0.225) Data 0.045 (0.069) Loss 3.2850 (3.1253) Prec@1 30.078 (33.304) Prec@5 57.031 (58.662)
Epoch: [9][1000/5005] Time 0.210 (0.225) Data 0.043 (0.069) Loss 3.1204 (3.1247) Prec@1 35.547 (33.316) Prec@5 59.375 (58.669)
Epoch: [9][1010/5005] Time 0.206 (0.225) Data 0.039 (0.069) Loss 3.1370 (3.1242) Prec@1 34.375 (33.324) Prec@5 56.250 (58.667)
Epoch: [9][1020/5005] Time 0.213 (0.225) Data 0.049 (0.069) Loss 2.9990 (3.1249) Prec@1 35.156 (33.318) Prec@5 61.719 (58.648)
Epoch: [9][1030/5005] Time 0.208 (0.225) Data 0.042 (0.068) Loss 2.9620 (3.1241) Prec@1 36.719 (33.331) Prec@5 62.891 (58.666)
Epoch: [9][1040/5005] Time 0.220 (0.225) Data 0.042 (0.068) Loss 3.1711 (3.1236) Prec@1 29.297 (33.334) Prec@5 54.688 (58.684)
Epoch: [9][1050/5005] Time 0.213 (0.225) Data 0.041 (0.068) Loss 3.2822 (3.1243) Prec@1 28.516 (33.308) Prec@5 54.688 (58.664)
Epoch: [9][1060/5005] Time 0.212 (0.224) Data 0.043 (0.068) Loss 3.1635 (3.1245) Prec@1 36.328 (33.310) Prec@5 58.594 (58.666)
Epoch: [9][1070/5005] Time 0.217 (0.224) Data 0.041 (0.067) Loss 3.1766 (3.1247) Prec@1 32.422 (33.304) Prec@5 57.812 (58.671)
Epoch: [9][1080/5005] Time 0.205 (0.224) Data 0.048 (0.067) Loss 3.0485 (3.1243) Prec@1 38.281 (33.314) Prec@5 60.938 (58.683)
Epoch: [9][1090/5005] Time 0.209 (0.224) Data 0.040 (0.067) Loss 3.1355 (3.1241) Prec@1 32.812 (33.309) Prec@5 57.812 (58.694)
Epoch: [9][1100/5005] Time 0.212 (0.224) Data 0.043 (0.067) Loss 3.0599 (3.1235) Prec@1 38.672 (33.319) Prec@5 59.766 (58.701)
Epoch: [9][1110/5005] Time 0.218 (0.224) Data 0.047 (0.067) Loss 3.1826 (3.1236) Prec@1 34.766 (33.323) Prec@5 58.594 (58.696)
Epoch: [9][1120/5005] Time 0.199 (0.224) Data 0.047 (0.066) Loss 3.0660 (3.1227) Prec@1 32.031 (33.324) Prec@5 56.641 (58.709)
Epoch: [9][1130/5005] Time 0.223 (0.224) Data 0.047 (0.066) Loss 3.0147 (3.1229) Prec@1 38.672 (33.320) Prec@5 59.375 (58.705)
Epoch: [9][1140/5005] Time 0.196 (0.223) Data 0.061 (0.066) Loss 3.1059 (3.1224) Prec@1 33.984 (33.326) Prec@5 58.984 (58.713)
Epoch: [9][1150/5005] Time 0.202 (0.223) Data 0.060 (0.066) Loss 2.9879 (3.1219) Prec@1 32.812 (33.327) Prec@5 59.375 (58.717)
Epoch: [9][1160/5005] Time 0.218 (0.223) Data 0.042 (0.066) Loss 3.1095 (3.1220) Prec@1 34.375 (33.328) Prec@5 55.859 (58.710)
Epoch: [9][1170/5005] Time 0.203 (0.223) Data 0.045 (0.066) Loss 3.0587 (3.1218) Prec@1 34.375 (33.328) Prec@5 58.984 (58.711)
Epoch: [9][1180/5005] Time 0.209 (0.223) Data 0.054 (0.065) Loss 3.1487 (3.1213) Prec@1 34.766 (33.339) Prec@5 55.469 (58.712)
Epoch: [9][1190/5005] Time 0.219 (0.223) Data 0.055 (0.065) Loss 2.8423 (3.1211) Prec@1 39.062 (33.344) Prec@5 63.672 (58.714)
Epoch: [9][1200/5005] Time 0.212 (0.223) Data 0.044 (0.065) Loss 3.1569 (3.1209) Prec@1 31.641 (33.343) Prec@5 60.156 (58.713)
Epoch: [9][1210/5005] Time 0.204 (0.223) Data 0.050 (0.066) Loss 3.1831 (3.1215) Prec@1 31.250 (33.332) Prec@5 57.812 (58.706)
Epoch: [9][1220/5005] Time 0.204 (0.223) Data 0.045 (0.065) Loss 3.1284 (3.1215) Prec@1 30.469 (33.327) Prec@5 57.812 (58.707)
Epoch: [9][1230/5005] Time 0.205 (0.223) Data 0.052 (0.066) Loss 3.0760 (3.1215) Prec@1 35.156 (33.321) Prec@5 59.766 (58.700)
Epoch: [9][1240/5005] Time 0.204 (0.223) Data 0.055 (0.066) Loss 3.1398 (3.1216) Prec@1 35.938 (33.328) Prec@5 59.766 (58.694)
Epoch: [9][1250/5005] Time 0.202 (0.223) Data 0.054 (0.066) Loss 3.3090 (3.1221) Prec@1 31.250 (33.314) Prec@5 53.516 (58.679)
Epoch: [9][1260/5005] Time 0.203 (0.223) Data 0.048 (0.066) Loss 2.7551 (3.1215) Prec@1 36.719 (33.322) Prec@5 64.453 (58.689)
Epoch: [9][1270/5005] Time 0.212 (0.223) Data 0.101 (0.066) Loss 3.2650 (3.1223) Prec@1 30.469 (33.310) Prec@5 53.125 (58.678)
Epoch: [9][1280/5005] Time 0.201 (0.223) Data 0.051 (0.067) Loss 3.1246 (3.1224) Prec@1 33.203 (33.310) Prec@5 59.766 (58.680)
Epoch: [9][1290/5005] Time 0.197 (0.223) Data 0.051 (0.067) Loss 2.9241 (3.1219) Prec@1 35.938 (33.319) Prec@5 60.938 (58.695)
Epoch: [9][1300/5005] Time 0.199 (0.223) Data 0.042 (0.067) Loss 3.1372 (3.1219) Prec@1 36.328 (33.321) Prec@5 59.375 (58.696)
Epoch: [9][1310/5005] Time 0.205 (0.223) Data 0.091 (0.067) Loss 3.1542 (3.1216) Prec@1 33.984 (33.320) Prec@5 60.156 (58.711)
Epoch: [9][1320/5005] Time 0.236 (0.223) Data 0.151 (0.067) Loss 3.2799 (3.1215) Prec@1 30.078 (33.324) Prec@5 53.125 (58.717)
Epoch: [9][1330/5005] Time 0.460 (0.223) Data 0.367 (0.068) Loss 3.1304 (3.1221) Prec@1 31.250 (33.318) Prec@5 58.594 (58.702)
Epoch: [9][1340/5005] Time 0.204 (0.223) Data 0.044 (0.068) Loss 3.0923 (3.1221) Prec@1 34.375 (33.318) Prec@5 60.156 (58.707)
Epoch: [9][1350/5005] Time 0.190 (0.223) Data 0.054 (0.067) Loss 3.4812 (3.1225) Prec@1 27.344 (33.310) Prec@5 54.688 (58.704)
Epoch: [9][1360/5005] Time 0.207 (0.223) Data 0.051 (0.068) Loss 2.9386 (3.1225) Prec@1 35.938 (33.314) Prec@5 62.891 (58.702)
Epoch: [9][1370/5005] Time 0.197 (0.223) Data 0.049 (0.068) Loss 3.1600 (3.1222) Prec@1 35.547 (33.328) Prec@5 58.203 (58.703)
Epoch: [9][1380/5005] Time 0.197 (0.223) Data 0.057 (0.068) Loss 3.1608 (3.1219) Prec@1 38.281 (33.331) Prec@5 58.594 (58.707)
Epoch: [9][1390/5005] Time 0.197 (0.223) Data 0.047 (0.068) Loss 3.1215 (3.1219) Prec@1 34.766 (33.332) Prec@5 57.031 (58.708)
Epoch: [9][1400/5005] Time 0.199 (0.223) Data 0.051 (0.068) Loss 3.1175 (3.1213) Prec@1 35.156 (33.329) Prec@5 57.422 (58.721)
Epoch: [9][1410/5005] Time 0.259 (0.223) Data 0.170 (0.069) Loss 3.0555 (3.1206) Prec@1 34.375 (33.340) Prec@5 60.547 (58.731)
Epoch: [9][1420/5005] Time 0.208 (0.223) Data 0.063 (0.069) Loss 3.2079 (3.1206) Prec@1 34.766 (33.345) Prec@5 59.766 (58.734)
Epoch: [9][1430/5005] Time 0.204 (0.223) Data 0.040 (0.069) Loss 2.7872 (3.1203) Prec@1 35.938 (33.351) Prec@5 62.500 (58.737)
Epoch: [9][1440/5005] Time 0.205 (0.223) Data 0.043 (0.069) Loss 2.8810 (3.1201) Prec@1 41.406 (33.356) Prec@5 60.938 (58.736)
Epoch: [9][1450/5005] Time 0.208 (0.223) Data 0.040 (0.069) Loss 3.1269 (3.1204) Prec@1 30.859 (33.350) Prec@5 58.203 (58.731)
Epoch: [9][1460/5005] Time 0.210 (0.223) Data 0.048 (0.069) Loss 3.0417 (3.1202) Prec@1 36.328 (33.354) Prec@5 60.547 (58.737)
Epoch: [9][1470/5005] Time 0.200 (0.223) Data 0.066 (0.069) Loss 3.1859 (3.1204) Prec@1 35.156 (33.360) Prec@5 58.203 (58.733)
Epoch: [9][1480/5005] Time 0.208 (0.223) Data 0.080 (0.069) Loss 2.9573 (3.1206) Prec@1 36.719 (33.358) Prec@5 61.719 (58.727)
Epoch: [9][1490/5005] Time 0.208 (0.223) Data 0.044 (0.069) Loss 3.3664 (3.1204) Prec@1 32.031 (33.361) Prec@5 54.688 (58.734)
Epoch: [9][1500/5005] Time 0.206 (0.223) Data 0.054 (0.069) Loss 3.1633 (3.1204) Prec@1 36.719 (33.360) Prec@5 59.766 (58.740)
Epoch: [9][1510/5005] Time 0.210 (0.223) Data 0.045 (0.069) Loss 2.8164 (3.1201) Prec@1 39.453 (33.365) Prec@5 61.328 (58.745)
Epoch: [9][1520/5005] Time 0.199 (0.223) Data 0.051 (0.069) Loss 3.0950 (3.1197) Prec@1 32.422 (33.369) Prec@5 61.719 (58.754)
Epoch: [9][1530/5005] Time 0.203 (0.223) Data 0.042 (0.069) Loss 3.2653 (3.1197) Prec@1 33.203 (33.374) Prec@5 58.984 (58.752)
Epoch: [9][1540/5005] Time 0.205 (0.223) Data 0.109 (0.069) Loss 3.2368 (3.1199) Prec@1 31.641 (33.377) Prec@5 55.859 (58.748)
Epoch: [9][1550/5005] Time 0.555 (0.223) Data 0.465 (0.070) Loss 3.1073 (3.1195) Prec@1 32.812 (33.381) Prec@5 58.594 (58.755)
Epoch: [9][1560/5005] Time 0.213 (0.223) Data 0.041 (0.070) Loss 3.0046 (3.1196) Prec@1 35.547 (33.383) Prec@5 60.547 (58.758)
Epoch: [9][1570/5005] Time 0.196 (0.223) Data 0.049 (0.070) Loss 2.9264 (3.1193) Prec@1 37.500 (33.388) Prec@5 60.938 (58.767)
Epoch: [9][1580/5005] Time 0.209 (0.223) Data 0.043 (0.070) Loss 2.9483 (3.1198) Prec@1 36.328 (33.379) Prec@5 62.891 (58.755)
Epoch: [9][1590/5005] Time 0.189 (0.224) Data 0.045 (0.071) Loss 3.0962 (3.1198) Prec@1 35.547 (33.376) Prec@5 61.328 (58.750)
Epoch: [9][1600/5005] Time 0.197 (0.224) Data 0.047 (0.071) Loss 3.0770 (3.1199) Prec@1 34.766 (33.373) Prec@5 62.109 (58.748)
Epoch: [9][1610/5005] Time 0.206 (0.224) Data 0.045 (0.071) Loss 3.2398 (3.1200) Prec@1 31.250 (33.374) Prec@5 55.859 (58.745)
Epoch: [9][1620/5005] Time 0.195 (0.224) Data 0.047 (0.071) Loss 3.2413 (3.1198) Prec@1 32.812 (33.375) Prec@5 57.422 (58.748)
Epoch: [9][1630/5005] Time 0.201 (0.224) Data 0.046 (0.071) Loss 3.0724 (3.1200) Prec@1 36.719 (33.376) Prec@5 59.375 (58.747)
Epoch: [9][1640/5005] Time 0.205 (0.224) Data 0.041 (0.071) Loss 3.1915 (3.1204) Prec@1 33.594 (33.373) Prec@5 59.375 (58.745)
Epoch: [9][1650/5005] Time 0.205 (0.224) Data 0.046 (0.071) Loss 3.1681 (3.1205) Prec@1 33.203 (33.375) Prec@5 58.203 (58.745)
Epoch: [9][1660/5005] Time 0.202 (0.224) Data 0.053 (0.071) Loss 2.8832 (3.1197) Prec@1 39.453 (33.398) Prec@5 62.891 (58.755)
Epoch: [9][1670/5005] Time 0.198 (0.224) Data 0.054 (0.071) Loss 2.9661 (3.1198) Prec@1 34.766 (33.393) Prec@5 62.891 (58.756)
Epoch: [9][1680/5005] Time 0.192 (0.224) Data 0.053 (0.071) Loss 3.3830 (3.1199) Prec@1 33.203 (33.393) Prec@5 53.516 (58.756)
Epoch: [9][1690/5005] Time 0.216 (0.224) Data 0.042 (0.071) Loss 2.9187 (3.1191) Prec@1 35.156 (33.400) Prec@5 62.891 (58.770)
Epoch: [9][1700/5005] Time 0.208 (0.224) Data 0.040 (0.071) Loss 3.0906 (3.1186) Prec@1 36.328 (33.407) Prec@5 58.203 (58.775)
Epoch: [9][1710/5005] Time 0.206 (0.224) Data 0.043 (0.071) Loss 2.9112 (3.1179) Prec@1 35.547 (33.413) Prec@5 64.062 (58.783)
Epoch: [9][1720/5005] Time 0.413 (0.224) Data 0.324 (0.071) Loss 3.1974 (3.1180) Prec@1 36.328 (33.412) Prec@5 60.938 (58.781)
Epoch: [9][1730/5005] Time 0.208 (0.224) Data 0.048 (0.071) Loss 3.1001 (3.1178) Prec@1 36.719 (33.411) Prec@5 59.375 (58.787)
Epoch: [9][1740/5005] Time 0.196 (0.224) Data 0.094 (0.071) Loss 3.2523 (3.1175) Prec@1 33.203 (33.415) Prec@5 56.641 (58.797)
Epoch: [9][1750/5005] Time 0.198 (0.224) Data 0.047 (0.071) Loss 3.0987 (3.1171) Prec@1 32.422 (33.423) Prec@5 59.766 (58.808)
Epoch: [9][1760/5005] Time 0.204 (0.224) Data 0.044 (0.071) Loss 2.9724 (3.1170) Prec@1 37.109 (33.419) Prec@5 60.547 (58.810)
Epoch: [9][1770/5005] Time 0.203 (0.224) Data 0.049 (0.072) Loss 3.1282 (3.1167) Prec@1 30.859 (33.417) Prec@5 53.516 (58.815)
Epoch: [9][1780/5005] Time 0.210 (0.224) Data 0.042 (0.072) Loss 3.0132 (3.1166) Prec@1 33.984 (33.419) Prec@5 61.328 (58.818)
Epoch: [9][1790/5005] Time 0.196 (0.224) Data 0.045 (0.072) Loss 2.9409 (3.1162) Prec@1 34.766 (33.424) Prec@5 62.109 (58.828)
Epoch: [9][1800/5005] Time 0.204 (0.224) Data 0.039 (0.072) Loss 3.1262 (3.1160) Prec@1 37.500 (33.431) Prec@5 59.375 (58.836)
Epoch: [9][1810/5005] Time 0.201 (0.224) Data 0.051 (0.072) Loss 3.1246 (3.1159) Prec@1 35.156 (33.427) Prec@5 57.422 (58.835)
Epoch: [9][1820/5005] Time 0.195 (0.224) Data 0.062 (0.072) Loss 3.1886 (3.1157) Prec@1 27.734 (33.428) Prec@5 58.594 (58.842)
Epoch: [9][1830/5005] Time 0.209 (0.224) Data 0.049 (0.072) Loss 2.8744 (3.1150) Prec@1 37.109 (33.435) Prec@5 65.625 (58.855)
Epoch: [9][1840/5005] Time 0.215 (0.224) Data 0.042 (0.072) Loss 3.2241 (3.1148) Prec@1 28.906 (33.433) Prec@5 55.859 (58.860)
Epoch: [9][1850/5005] Time 0.197 (0.224) Data 0.045 (0.072) Loss 3.2104 (3.1146) Prec@1 30.078 (33.432) Prec@5 57.031 (58.863)
Epoch: [9][1860/5005] Time 0.210 (0.224) Data 0.042 (0.072) Loss 3.0008 (3.1147) Prec@1 35.156 (33.424) Prec@5 57.031 (58.863)
Epoch: [9][1870/5005] Time 0.205 (0.224) Data 0.044 (0.071) Loss 3.1741 (3.1148) Prec@1 29.297 (33.419) Prec@5 56.250 (58.853)
Epoch: [9][1880/5005] Time 0.213 (0.224) Data 0.043 (0.071) Loss 3.1625 (3.1149) Prec@1 32.812 (33.423) Prec@5 58.203 (58.850)
Epoch: [9][1890/5005] Time 0.214 (0.224) Data 0.044 (0.071) Loss 3.2051 (3.1148) Prec@1 34.766 (33.424) Prec@5 54.688 (58.855)
Epoch: [9][1900/5005] Time 0.238 (0.224) Data 0.151 (0.071) Loss 3.1763 (3.1153) Prec@1 33.594 (33.416) Prec@5 56.641 (58.846)
Epoch: [9][1910/5005] Time 0.196 (0.224) Data 0.044 (0.071) Loss 3.1421 (3.1154) Prec@1 30.859 (33.412) Prec@5 60.938 (58.844)
Epoch: [9][1920/5005] Time 0.206 (0.224) Data 0.053 (0.071) Loss 3.1953 (3.1152) Prec@1 29.297 (33.412) Prec@5 59.375 (58.855)
Epoch: [9][1930/5005] Time 0.205 (0.224) Data 0.040 (0.071) Loss 2.8611 (3.1150) Prec@1 35.547 (33.412) Prec@5 61.328 (58.859)
Epoch: [9][1940/5005] Time 0.200 (0.224) Data 0.043 (0.071) Loss 2.9461 (3.1149) Prec@1 35.547 (33.410) Prec@5 60.938 (58.861)
Epoch: [9][1950/5005] Time 0.201 (0.224) Data 0.051 (0.071) Loss 3.2520 (3.1149) Prec@1 31.641 (33.409) Prec@5 55.859 (58.862)
Epoch: [9][1960/5005] Time 0.208 (0.224) Data 0.126 (0.072) Loss 2.9941 (3.1146) Prec@1 37.891 (33.414) Prec@5 62.500 (58.869)
Epoch: [9][1970/5005] Time 0.214 (0.224) Data 0.041 (0.072) Loss 3.1467 (3.1147) Prec@1 34.375 (33.410) Prec@5 57.812 (58.870)
Epoch: [9][1980/5005] Time 0.205 (0.224) Data 0.130 (0.072) Loss 2.9107 (3.1146) Prec@1 38.672 (33.407) Prec@5 61.719 (58.872)
Epoch: [9][1990/5005] Time 0.204 (0.224) Data 0.042 (0.072) Loss 3.0538 (3.1145) Prec@1 34.766 (33.410) Prec@5 60.547 (58.879)
Epoch: [9][2000/5005] Time 0.198 (0.224) Data 0.041 (0.072) Loss 2.9882 (3.1147) Prec@1 41.016 (33.413) Prec@5 62.109 (58.875)
Epoch: [9][2010/5005] Time 0.200 (0.224) Data 0.049 (0.072) Loss 2.9887 (3.1148) Prec@1 32.422 (33.408) Prec@5 61.328 (58.878)
Epoch: [9][2020/5005] Time 0.216 (0.224) Data 0.046 (0.072) Loss 3.0797 (3.1150) Prec@1 33.203 (33.407) Prec@5 59.375 (58.871)
Epoch: [9][2030/5005] Time 0.209 (0.224) Data 0.047 (0.072) Loss 2.9892 (3.1150) Prec@1 31.641 (33.407) Prec@5 62.109 (58.872)
Epoch: [9][2040/5005] Time 0.193 (0.224) Data 0.053 (0.072) Loss 2.8976 (3.1149) Prec@1 33.594 (33.403) Prec@5 62.891 (58.875)
Epoch: [9][2050/5005] Time 0.199 (0.224) Data 0.047 (0.072) Loss 3.0783 (3.1149) Prec@1 38.672 (33.409) Prec@5 62.109 (58.877)
Epoch: [9][2060/5005] Time 0.217 (0.224) Data 0.051 (0.072) Loss 2.9577 (3.1147) Prec@1 31.641 (33.409) Prec@5 57.812 (58.877)
Epoch: [9][2070/5005] Time 0.197 (0.224) Data 0.071 (0.072) Loss 3.2779 (3.1147) Prec@1 30.078 (33.407) Prec@5 57.031 (58.870)
Epoch: [9][2080/5005] Time 0.213 (0.224) Data 0.045 (0.072) Loss 3.1161 (3.1147) Prec@1 31.250 (33.408) Prec@5 60.938 (58.872)
Epoch: [9][2090/5005] Time 0.210 (0.224) Data 0.040 (0.072) Loss 2.9802 (3.1142) Prec@1 34.375 (33.410) Prec@5 59.766 (58.880)
Epoch: [9][2100/5005] Time 0.212 (0.224) Data 0.043 (0.072) Loss 3.1644 (3.1143) Prec@1 35.156 (33.409) Prec@5 58.594 (58.874)
Epoch: [9][2110/5005] Time 0.246 (0.224) Data 0.162 (0.072) Loss 3.1813 (3.1142) Prec@1 33.984 (33.416) Prec@5 57.422 (58.874)
Epoch: [9][2120/5005] Time 0.217 (0.224) Data 0.043 (0.072) Loss 3.2299 (3.1142) Prec@1 33.594 (33.415) Prec@5 57.422 (58.874)
Epoch: [9][2130/5005] Time 0.200 (0.224) Data 0.048 (0.072) Loss 3.1142 (3.1138) Prec@1 35.938 (33.423) Prec@5 58.203 (58.881)
Epoch: [9][2140/5005] Time 0.203 (0.224) Data 0.045 (0.072) Loss 3.0213 (3.1139) Prec@1 32.812 (33.422) Prec@5 57.422 (58.875)
Epoch: [9][2150/5005] Time 0.207 (0.224) Data 0.045 (0.072) Loss 3.0686 (3.1139) Prec@1 35.938 (33.422) Prec@5 58.594 (58.872)
Epoch: [9][2160/5005] Time 0.201 (0.224) Data 0.065 (0.072) Loss 2.9278 (3.1137) Prec@1 37.500 (33.426) Prec@5 60.938 (58.877)
Epoch: [9][2170/5005] Time 0.209 (0.224) Data 0.040 (0.072) Loss 3.0066 (3.1137) Prec@1 33.984 (33.422) Prec@5 62.109 (58.875)
Epoch: [9][2180/5005] Time 0.403 (0.224) Data 0.315 (0.072) Loss 3.0395 (3.1137) Prec@1 35.156 (33.424) Prec@5 58.984 (58.878)
Epoch: [9][2190/5005] Time 0.202 (0.224) Data 0.048 (0.073) Loss 3.3209 (3.1137) Prec@1 30.078 (33.420) Prec@5 55.469 (58.877)
Epoch: [9][2200/5005] Time 0.204 (0.224) Data 0.059 (0.073) Loss 3.2249 (3.1140) Prec@1 32.031 (33.414) Prec@5 57.031 (58.875)
Epoch: [9][2210/5005] Time 0.204 (0.224) Data 0.046 (0.073) Loss 3.1714 (3.1141) Prec@1 35.156 (33.413) Prec@5 54.688 (58.872)
Epoch: [9][2220/5005] Time 0.204 (0.224) Data 0.046 (0.073) Loss 3.1576 (3.1139) Prec@1 35.547 (33.419) Prec@5 58.984 (58.874)
Epoch: [9][2230/5005] Time 0.193 (0.224) Data 0.043 (0.073) Loss 3.0265 (3.1139) Prec@1 35.547 (33.417) Prec@5 61.719 (58.876)
Epoch: [9][2240/5005] Time 0.216 (0.224) Data 0.042 (0.073) Loss 3.0373 (3.1139) Prec@1 31.641 (33.416) Prec@5 63.281 (58.879)
Epoch: [9][2250/5005] Time 0.199 (0.224) Data 0.039 (0.073) Loss 2.9397 (3.1141) Prec@1 36.328 (33.413) Prec@5 60.547 (58.874)
Epoch: [9][2260/5005] Time 0.206 (0.224) Data 0.054 (0.073) Loss 2.8607 (3.1136) Prec@1 36.719 (33.424) Prec@5 63.281 (58.883)
Epoch: [9][2270/5005] Time 0.209 (0.224) Data 0.040 (0.073) Loss 3.2409 (3.1134) Prec@1 29.688 (33.428) Prec@5 56.250 (58.888)
Epoch: [9][2280/5005] Time 0.207 (0.224) Data 0.043 (0.073) Loss 3.1495 (3.1134) Prec@1 31.641 (33.429) Prec@5 58.594 (58.887)
Epoch: [9][2290/5005] Time 0.204 (0.224) Data 0.042 (0.073) Loss 2.8858 (3.1133) Prec@1 39.844 (33.433) Prec@5 65.234 (58.889)
Epoch: [9][2300/5005] Time 0.197 (0.224) Data 0.046 (0.073) Loss 3.0447 (3.1135) Prec@1 34.766 (33.433) Prec@5 60.938 (58.886)
Epoch: [9][2310/5005] Time 0.195 (0.224) Data 0.096 (0.073) Loss 2.7586 (3.1133) Prec@1 41.016 (33.437) Prec@5 61.719 (58.887)
Epoch: [9][2320/5005] Time 0.215 (0.224) Data 0.044 (0.073) Loss 3.1100 (3.1133) Prec@1 33.203 (33.437) Prec@5 60.547 (58.888)
Epoch: [9][2330/5005] Time 0.312 (0.224) Data 0.223 (0.073) Loss 3.0775 (3.1133) Prec@1 35.156 (33.439) Prec@5 58.984 (58.892)
Epoch: [9][2340/5005] Time 0.210 (0.224) Data 0.045 (0.073) Loss 2.9704 (3.1131) Prec@1 35.938 (33.446) Prec@5 60.938 (58.896)
Epoch: [9][2350/5005] Time 0.204 (0.224) Data 0.056 (0.073) Loss 3.0165 (3.1129) Prec@1 33.594 (33.449) Prec@5 60.156 (58.900)
Epoch: [9][2360/5005] Time 0.201 (0.224) Data 0.045 (0.073) Loss 2.9684 (3.1129) Prec@1 34.375 (33.452) Prec@5 62.109 (58.900)
Epoch: [9][2370/5005] Time 0.202 (0.224) Data 0.093 (0.073) Loss 3.1457 (3.1129) Prec@1 32.812 (33.453) Prec@5 57.031 (58.899)
Epoch: [9][2380/5005] Time 0.308 (0.224) Data 0.229 (0.073) Loss 3.2313 (3.1128) Prec@1 30.078 (33.454) Prec@5 58.594 (58.903)
Epoch: [9][2390/5005] Time 0.201 (0.224) Data 0.052 (0.073) Loss 3.1392 (3.1127) Prec@1 32.812 (33.462) Prec@5 57.031 (58.906)
Epoch: [9][2400/5005] Time 0.199 (0.224) Data 0.050 (0.073) Loss 3.0816 (3.1126) Prec@1 34.766 (33.462) Prec@5 58.594 (58.906)
Epoch: [9][2410/5005] Time 0.209 (0.224) Data 0.046 (0.073) Loss 3.1974 (3.1126) Prec@1 32.812 (33.464) Prec@5 55.859 (58.903)
Epoch: [9][2420/5005] Time 0.197 (0.224) Data 0.048 (0.074) Loss 3.2303 (3.1126) Prec@1 30.469 (33.465) Prec@5 62.109 (58.907)
Epoch: [9][2430/5005] Time 0.206 (0.224) Data 0.044 (0.074) Loss 2.9736 (3.1126) Prec@1 33.203 (33.467) Prec@5 57.031 (58.905)
Epoch: [9][2440/5005] Time 0.208 (0.224) Data 0.054 (0.074) Loss 2.9309 (3.1126) Prec@1 37.891 (33.470) Prec@5 60.547 (58.905)
Epoch: [9][2450/5005] Time 0.210 (0.224) Data 0.039 (0.074) Loss 3.0171 (3.1125) Prec@1 34.766 (33.472) Prec@5 60.547 (58.906)
Epoch: [9][2460/5005] Time 0.212 (0.224) Data 0.041 (0.074) Loss 3.0112 (3.1124) Prec@1 30.859 (33.468) Prec@5 59.375 (58.907)
Epoch: [9][2470/5005] Time 0.482 (0.224) Data 0.394 (0.074) Loss 3.0883 (3.1123) Prec@1 35.156 (33.473) Prec@5 58.203 (58.911)
Epoch: [9][2480/5005] Time 0.196 (0.225) Data 0.048 (0.074) Loss 3.2528 (3.1125) Prec@1 33.594 (33.469) Prec@5 55.859 (58.912)
Epoch: [9][2490/5005] Time 0.185 (0.225) Data 0.051 (0.074) Loss 2.8071 (3.1123) Prec@1 39.062 (33.470) Prec@5 66.406 (58.917)
Epoch: [9][2500/5005] Time 0.197 (0.224) Data 0.048 (0.074) Loss 3.0325 (3.1121) Prec@1 36.719 (33.474) Prec@5 59.766 (58.918)
Epoch: [9][2510/5005] Time 0.208 (0.225) Data 0.046 (0.074) Loss 3.2435 (3.1121) Prec@1 30.859 (33.471) Prec@5 53.125 (58.917)
Epoch: [9][2520/5005] Time 0.211 (0.225) Data 0.046 (0.074) Loss 2.9794 (3.1122) Prec@1 38.281 (33.475) Prec@5 64.062 (58.914)
Epoch: [9][2530/5005] Time 0.204 (0.224) Data 0.038 (0.074) Loss 3.3192 (3.1122) Prec@1 28.125 (33.476) Prec@5 53.125 (58.912)
Epoch: [9][2540/5005] Time 0.192 (0.225) Data 0.052 (0.074) Loss 3.1027 (3.1122) Prec@1 33.984 (33.480) Prec@5 55.469 (58.916)
Epoch: [9][2550/5005] Time 0.201 (0.225) Data 0.062 (0.074) Loss 3.1488 (3.1122) Prec@1 29.297 (33.480) Prec@5 60.547 (58.915)
Epoch: [9][2560/5005] Time 0.337 (0.225) Data 0.244 (0.074) Loss 3.2599 (3.1122) Prec@1 29.688 (33.478) Prec@5 55.469 (58.919)
Epoch: [9][2570/5005] Time 0.218 (0.225) Data 0.043 (0.074) Loss 3.1044 (3.1124) Prec@1 33.594 (33.477) Prec@5 58.203 (58.917)
Epoch: [9][2580/5005] Time 0.205 (0.224) Data 0.041 (0.074) Loss 3.0606 (3.1126) Prec@1 32.031 (33.474) Prec@5 58.203 (58.910)
Epoch: [9][2590/5005] Time 0.612 (0.225) Data 0.524 (0.074) Loss 3.1972 (3.1123) Prec@1 35.547 (33.482) Prec@5 60.938 (58.914)
Epoch: [9][2600/5005] Time 0.205 (0.224) Data 0.045 (0.074) Loss 3.1434 (3.1124) Prec@1 31.641 (33.484) Prec@5 58.594 (58.914)
Epoch: [9][2610/5005] Time 0.207 (0.224) Data 0.056 (0.074) Loss 3.3407 (3.1122) Prec@1 26.562 (33.485) Prec@5 56.250 (58.917)
Epoch: [9][2620/5005] Time 0.206 (0.224) Data 0.047 (0.074) Loss 3.0963 (3.1122) Prec@1 32.031 (33.485) Prec@5 57.422 (58.914)
Epoch: [9][2630/5005] Time 0.198 (0.224) Data 0.050 (0.074) Loss 3.3465 (3.1127) Prec@1 31.250 (33.479) Prec@5 52.344 (58.906)
Epoch: [9][2640/5005] Time 0.209 (0.224) Data 0.128 (0.074) Loss 3.3838 (3.1125) Prec@1 25.781 (33.477) Prec@5 50.000 (58.907)
Epoch: [9][2650/5005] Time 0.197 (0.225) Data 0.051 (0.075) Loss 3.2637 (3.1125) Prec@1 28.516 (33.478) Prec@5 58.203 (58.905)
Epoch: [9][2660/5005] Time 0.205 (0.225) Data 0.053 (0.075) Loss 3.1944 (3.1124) Prec@1 28.125 (33.481) Prec@5 56.641 (58.902)
Epoch: [9][2670/5005] Time 0.614 (0.225) Data 0.533 (0.075) Loss 2.7638 (3.1122) Prec@1 33.984 (33.486) Prec@5 64.453 (58.904)
Epoch: [9][2680/5005] Time 0.200 (0.225) Data 0.051 (0.075) Loss 2.9770 (3.1122) Prec@1 35.547 (33.483) Prec@5 59.766 (58.902)
Epoch: [9][2690/5005] Time 0.196 (0.225) Data 0.048 (0.075) Loss 2.8532 (3.1120) Prec@1 41.016 (33.489) Prec@5 62.500 (58.909)
Epoch: [9][2700/5005] Time 0.202 (0.225) Data 0.039 (0.075) Loss 2.9851 (3.1122) Prec@1 33.203 (33.484) Prec@5 60.156 (58.906)
Epoch: [9][2710/5005] Time 0.192 (0.225) Data 0.045 (0.075) Loss 2.9277 (3.1124) Prec@1 35.938 (33.476) Prec@5 59.375 (58.899)
Epoch: [9][2720/5005] Time 0.602 (0.225) Data 0.514 (0.075) Loss 3.0474 (3.1126) Prec@1 35.156 (33.473) Prec@5 62.500 (58.898)
Epoch: [9][2730/5005] Time 0.196 (0.225) Data 0.045 (0.075) Loss 3.0765 (3.1124) Prec@1 33.203 (33.474) Prec@5 59.766 (58.903)
Epoch: [9][2740/5005] Time 0.208 (0.225) Data 0.044 (0.075) Loss 2.9987 (3.1123) Prec@1 38.672 (33.478) Prec@5 60.938 (58.907)
Epoch: [9][2750/5005] Time 0.204 (0.225) Data 0.040 (0.075) Loss 3.0880 (3.1119) Prec@1 32.812 (33.482) Prec@5 60.938 (58.912)
Epoch: [9][2760/5005] Time 0.204 (0.225) Data 0.050 (0.075) Loss 3.1365 (3.1118) Prec@1 32.422 (33.482) Prec@5 61.719 (58.917)
Epoch: [9][2770/5005] Time 0.187 (0.225) Data 0.044 (0.075) Loss 3.0036 (3.1119) Prec@1 36.719 (33.485) Prec@5 59.375 (58.914)
Epoch: [9][2780/5005] Time 0.212 (0.225) Data 0.046 (0.075) Loss 3.3484 (3.1117) Prec@1 30.078 (33.491) Prec@5 55.859 (58.919)
Epoch: [9][2790/5005] Time 0.547 (0.225) Data 0.467 (0.075) Loss 3.4193 (3.1118) Prec@1 28.516 (33.494) Prec@5 50.781 (58.915)
Epoch: [9][2800/5005] Time 0.202 (0.225) Data 0.045 (0.075) Loss 3.0194 (3.1117) Prec@1 35.938 (33.499) Prec@5 61.328 (58.920)
Epoch: [9][2810/5005] Time 0.204 (0.225) Data 0.067 (0.075) Loss 3.2123 (3.1116) Prec@1 30.078 (33.497) Prec@5 58.203 (58.927)
Epoch: [9][2820/5005] Time 0.291 (0.225) Data 0.204 (0.075) Loss 2.8871 (3.1115) Prec@1 36.719 (33.497) Prec@5 63.281 (58.927)
Epoch: [9][2830/5005] Time 0.209 (0.225) Data 0.047 (0.075) Loss 3.5111 (3.1118) Prec@1 25.781 (33.495) Prec@5 53.906 (58.917)
Epoch: [9][2840/5005] Time 0.193 (0.225) Data 0.047 (0.075) Loss 3.0252 (3.1118) Prec@1 32.812 (33.496) Prec@5 58.984 (58.916)
Epoch: [9][2850/5005] Time 0.201 (0.225) Data 0.052 (0.075) Loss 3.0426 (3.1118) Prec@1 36.328 (33.498) Prec@5 57.422 (58.914)
Epoch: [9][2860/5005] Time 0.215 (0.225) Data 0.047 (0.075) Loss 3.1827 (3.1119) Prec@1 33.203 (33.498) Prec@5 57.031 (58.916)
Epoch: [9][2870/5005] Time 0.209 (0.225) Data 0.047 (0.075) Loss 3.0344 (3.1116) Prec@1 35.156 (33.503) Prec@5 61.328 (58.925)
Epoch: [9][2880/5005] Time 0.200 (0.225) Data 0.040 (0.075) Loss 3.1118 (3.1117) Prec@1 32.031 (33.505) Prec@5 58.203 (58.923)
Epoch: [9][2890/5005] Time 0.249 (0.225) Data 0.163 (0.075) Loss 3.1017 (3.1116) Prec@1 30.469 (33.509) Prec@5 55.469 (58.926)
Epoch: [9][2900/5005] Time 0.213 (0.225) Data 0.043 (0.075) Loss 2.7692 (3.1115) Prec@1 37.109 (33.511) Prec@5 64.062 (58.929)
Epoch: [9][2910/5005] Time 0.198 (0.225) Data 0.044 (0.075) Loss 3.1050 (3.1116) Prec@1 33.203 (33.509) Prec@5 56.250 (58.929)
Epoch: [9][2920/5005] Time 0.378 (0.225) Data 0.296 (0.075) Loss 3.2018 (3.1117) Prec@1 28.906 (33.506) Prec@5 52.344 (58.924)
Epoch: [9][2930/5005] Time 0.330 (0.225) Data 0.247 (0.075) Loss 3.3685 (3.1118) Prec@1 26.953 (33.502) Prec@5 55.859 (58.921)
Epoch: [9][2940/5005] Time 0.208 (0.225) Data 0.041 (0.075) Loss 3.2333 (3.1118) Prec@1 30.469 (33.502) Prec@5 58.594 (58.926)
Epoch: [9][2950/5005] Time 0.199 (0.225) Data 0.048 (0.075) Loss 3.2959 (3.1118) Prec@1 29.297 (33.500) Prec@5 54.297 (58.926)
Epoch: [9][2960/5005] Time 0.318 (0.225) Data 0.229 (0.076) Loss 3.0877 (3.1118) Prec@1 32.812 (33.498) Prec@5 58.984 (58.929)
Epoch: [9][2970/5005] Time 0.198 (0.225) Data 0.096 (0.076) Loss 3.1672 (3.1117) Prec@1 29.297 (33.494) Prec@5 59.375 (58.929)
Epoch: [9][2980/5005] Time 0.194 (0.225) Data 0.048 (0.076) Loss 3.2070 (3.1118) Prec@1 30.859 (33.492) Prec@5 59.766 (58.929)
Epoch: [9][2990/5005] Time 0.194 (0.225) Data 0.049 (0.076) Loss 2.9439 (3.1117) Prec@1 36.328 (33.493) Prec@5 61.328 (58.927)
Epoch: [9][3000/5005] Time 0.201 (0.225) Data 0.049 (0.076) Loss 3.2211 (3.1117) Prec@1 31.641 (33.492) Prec@5 57.031 (58.928)
Epoch: [9][3010/5005] Time 0.210 (0.225) Data 0.125 (0.076) Loss 3.1123 (3.1118) Prec@1 32.812 (33.489) Prec@5 55.859 (58.929)
Epoch: [9][3020/5005] Time 0.196 (0.225) Data 0.047 (0.076) Loss 3.0595 (3.1121) Prec@1 31.250 (33.484) Prec@5 57.812 (58.925)
Epoch: [9][3030/5005] Time 0.188 (0.225) Data 0.057 (0.076) Loss 3.0236 (3.1119) Prec@1 39.062 (33.487) Prec@5 61.719 (58.927)
Epoch: [9][3040/5005] Time 0.204 (0.225) Data 0.042 (0.076) Loss 3.0510 (3.1118) Prec@1 34.375 (33.488) Prec@5 55.859 (58.927)
Epoch: [9][3050/5005] Time 0.286 (0.225) Data 0.203 (0.076) Loss 3.0903 (3.1119) Prec@1 32.812 (33.487) Prec@5 59.766 (58.928)
Epoch: [9][3060/5005] Time 0.207 (0.225) Data 0.047 (0.076) Loss 2.9253 (3.1117) Prec@1 38.672 (33.487) Prec@5 64.453 (58.929)
Epoch: [9][3070/5005] Time 0.197 (0.225) Data 0.087 (0.076) Loss 3.2544 (3.1119) Prec@1 30.078 (33.480) Prec@5 55.078 (58.927)
Epoch: [9][3080/5005] Time 0.200 (0.225) Data 0.040 (0.076) Loss 3.0933 (3.1119) Prec@1 32.422 (33.479) Prec@5 60.547 (58.930)
Epoch: [9][3090/5005] Time 0.215 (0.225) Data 0.042 (0.076) Loss 3.4616 (3.1120) Prec@1 23.047 (33.473) Prec@5 51.953 (58.929)
Epoch: [9][3100/5005] Time 0.488 (0.225) Data 0.397 (0.076) Loss 3.1123 (3.1119) Prec@1 35.156 (33.475) Prec@5 57.422 (58.926)
Epoch: [9][3110/5005] Time 0.193 (0.225) Data 0.045 (0.076) Loss 2.9154 (3.1118) Prec@1 33.984 (33.477) Prec@5 60.156 (58.927)
Epoch: [9][3120/5005] Time 0.199 (0.225) Data 0.039 (0.076) Loss 3.0882 (3.1118) Prec@1 33.594 (33.478) Prec@5 60.547 (58.927)
Epoch: [9][3130/5005] Time 0.203 (0.225) Data 0.045 (0.076) Loss 3.1196 (3.1117) Prec@1 32.422 (33.479) Prec@5 54.688 (58.930)
Epoch: [9][3140/5005] Time 0.193 (0.225) Data 0.049 (0.076) Loss 2.8792 (3.1113) Prec@1 39.453 (33.486) Prec@5 64.062 (58.936)
Epoch: [9][3150/5005] Time 0.208 (0.225) Data 0.041 (0.076) Loss 3.0182 (3.1111) Prec@1 37.891 (33.494) Prec@5 63.672 (58.939)
Epoch: [9][3160/5005] Time 0.210 (0.225) Data 0.044 (0.076) Loss 2.9281 (3.1111) Prec@1 39.453 (33.495) Prec@5 61.719 (58.943)
Epoch: [9][3170/5005] Time 0.320 (0.225) Data 0.235 (0.076) Loss 3.1987 (3.1111) Prec@1 29.688 (33.493) Prec@5 57.812 (58.944)
Epoch: [9][3180/5005] Time 0.204 (0.225) Data 0.091 (0.076) Loss 2.8934 (3.1111) Prec@1 39.453 (33.495) Prec@5 62.891 (58.945)
Epoch: [9][3190/5005] Time 0.520 (0.225) Data 0.434 (0.076) Loss 3.0583 (3.1111) Prec@1 33.594 (33.494) Prec@5 60.547 (58.947)
Epoch: [9][3200/5005] Time 0.209 (0.225) Data 0.042 (0.076) Loss 3.2458 (3.1110) Prec@1 29.688 (33.496) Prec@5 57.422 (58.951)
Epoch: [9][3210/5005] Time 0.203 (0.225) Data 0.049 (0.076) Loss 3.2723 (3.1111) Prec@1 31.250 (33.497) Prec@5 57.812 (58.953)
Epoch: [9][3220/5005] Time 0.202 (0.225) Data 0.050 (0.076) Loss 3.1605 (3.1112) Prec@1 33.594 (33.498) Prec@5 57.422 (58.951)
Epoch: [9][3230/5005] Time 0.198 (0.225) Data 0.098 (0.076) Loss 3.0961 (3.1109) Prec@1 33.203 (33.502) Prec@5 58.203 (58.957)
Epoch: [9][3240/5005] Time 0.198 (0.225) Data 0.061 (0.076) Loss 3.4545 (3.1114) Prec@1 26.953 (33.495) Prec@5 53.125 (58.949)
Epoch: [9][3250/5005] Time 0.211 (0.225) Data 0.044 (0.077) Loss 3.0648 (3.1115) Prec@1 33.594 (33.491) Prec@5 64.062 (58.948)
Epoch: [9][3260/5005] Time 0.199 (0.225) Data 0.053 (0.077) Loss 3.0048 (3.1115) Prec@1 36.328 (33.491) Prec@5 60.547 (58.948)
Epoch: [9][3270/5005] Time 0.199 (0.225) Data 0.044 (0.077) Loss 3.1633 (3.1114) Prec@1 38.672 (33.495) Prec@5 55.469 (58.949)
Epoch: [9][3280/5005] Time 0.204 (0.225) Data 0.045 (0.077) Loss 3.1476 (3.1117) Prec@1 35.547 (33.492) Prec@5 58.984 (58.944)
Epoch: [9][3290/5005] Time 0.192 (0.225) Data 0.101 (0.077) Loss 2.9708 (3.1115) Prec@1 37.891 (33.494) Prec@5 60.938 (58.948)
Epoch: [9][3300/5005] Time 0.201 (0.225) Data 0.042 (0.077) Loss 3.0773 (3.1114) Prec@1 35.156 (33.495) Prec@5 57.422 (58.947)
Epoch: [9][3310/5005] Time 0.205 (0.225) Data 0.046 (0.077) Loss 2.9824 (3.1115) Prec@1 33.203 (33.495) Prec@5 59.766 (58.946)
Epoch: [9][3320/5005] Time 0.206 (0.225) Data 0.042 (0.077) Loss 3.1046 (3.1115) Prec@1 37.109 (33.494) Prec@5 61.719 (58.948)
Epoch: [9][3330/5005] Time 0.211 (0.225) Data 0.046 (0.077) Loss 3.1603 (3.1114) Prec@1 32.422 (33.495) Prec@5 57.422 (58.951)
Epoch: [9][3340/5005] Time 0.208 (0.225) Data 0.042 (0.077) Loss 3.0036 (3.1113) Prec@1 37.500 (33.499) Prec@5 60.547 (58.951)
Epoch: [9][3350/5005] Time 0.206 (0.225) Data 0.042 (0.077) Loss 3.3115 (3.1114) Prec@1 30.859 (33.497) Prec@5 56.250 (58.952)
Epoch: [9][3360/5005] Time 0.206 (0.225) Data 0.043 (0.077) Loss 3.0099 (3.1114) Prec@1 37.109 (33.496) Prec@5 60.547 (58.954)
Epoch: [9][3370/5005] Time 0.195 (0.225) Data 0.049 (0.077) Loss 3.1995 (3.1115) Prec@1 33.594 (33.494) Prec@5 57.031 (58.952)
Epoch: [9][3380/5005] Time 0.193 (0.225) Data 0.053 (0.077) Loss 2.9445 (3.1115) Prec@1 34.375 (33.491) Prec@5 61.328 (58.952)
Epoch: [9][3390/5005] Time 0.202 (0.225) Data 0.096 (0.077) Loss 2.9985 (3.1116) Prec@1 36.719 (33.488) Prec@5 61.719 (58.948)
Epoch: [9][3400/5005] Time 0.195 (0.225) Data 0.053 (0.077) Loss 3.1104 (3.1118) Prec@1 34.766 (33.488) Prec@5 59.766 (58.946)
Epoch: [9][3410/5005] Time 0.206 (0.225) Data 0.045 (0.077) Loss 3.0438 (3.1116) Prec@1 35.938 (33.492) Prec@5 59.375 (58.947)
Epoch: [9][3420/5005] Time 0.203 (0.225) Data 0.094 (0.077) Loss 3.0412 (3.1114) Prec@1 35.547 (33.492) Prec@5 59.375 (58.946)
Epoch: [9][3430/5005] Time 0.198 (0.225) Data 0.103 (0.077) Loss 2.9584 (3.1113) Prec@1 36.328 (33.491) Prec@5 61.328 (58.946)
Epoch: [9][3440/5005] Time 0.203 (0.225) Data 0.044 (0.077) Loss 3.0559 (3.1111) Prec@1 33.203 (33.490) Prec@5 60.156 (58.947)
Epoch: [9][3450/5005] Time 0.189 (0.225) Data 0.054 (0.077) Loss 3.0429 (3.1110) Prec@1 33.203 (33.493) Prec@5 58.984 (58.950)
Epoch: [9][3460/5005] Time 0.200 (0.225) Data 0.044 (0.077) Loss 2.9008 (3.1110) Prec@1 37.109 (33.494) Prec@5 58.984 (58.947)
Epoch: [9][3470/5005] Time 0.320 (0.225) Data 0.240 (0.077) Loss 2.8815 (3.1108) Prec@1 39.062 (33.497) Prec@5 65.234 (58.950)
Epoch: [9][3480/5005] Time 0.199 (0.225) Data 0.043 (0.077) Loss 3.0857 (3.1106) Prec@1 35.547 (33.501) Prec@5 58.594 (58.952)
Epoch: [9][3490/5005] Time 0.202 (0.225) Data 0.041 (0.077) Loss 3.1667 (3.1107) Prec@1 33.984 (33.500) Prec@5 57.812 (58.950)
Epoch: [9][3500/5005] Time 0.200 (0.225) Data 0.045 (0.077) Loss 2.9312 (3.1107) Prec@1 32.031 (33.496) Prec@5 64.453 (58.949)
Epoch: [9][3510/5005] Time 0.491 (0.225) Data 0.401 (0.077) Loss 2.9993 (3.1106) Prec@1 33.984 (33.497) Prec@5 61.719 (58.950)
Epoch: [9][3520/5005] Time 0.207 (0.225) Data 0.051 (0.077) Loss 3.1695 (3.1105) Prec@1 33.203 (33.500) Prec@5 58.594 (58.955)
Epoch: [9][3530/5005] Time 0.195 (0.225) Data 0.092 (0.077) Loss 2.9812 (3.1102) Prec@1 36.328 (33.507) Prec@5 60.156 (58.961)
Epoch: [9][3540/5005] Time 0.198 (0.225) Data 0.038 (0.077) Loss 2.9088 (3.1100) Prec@1 32.812 (33.510) Prec@5 62.891 (58.964)
Epoch: [9][3550/5005] Time 0.196 (0.225) Data 0.041 (0.077) Loss 3.0692 (3.1097) Prec@1 32.812 (33.513) Prec@5 59.766 (58.967)
Epoch: [9][3560/5005] Time 0.208 (0.225) Data 0.041 (0.077) Loss 3.2652 (3.1097) Prec@1 32.031 (33.512) Prec@5 58.594 (58.969)
Epoch: [9][3570/5005] Time 0.206 (0.225) Data 0.047 (0.077) Loss 3.1205 (3.1096) Prec@1 35.156 (33.519) Prec@5 60.156 (58.970)
Epoch: [9][3580/5005] Time 0.199 (0.225) Data 0.042 (0.077) Loss 3.0398 (3.1098) Prec@1 32.812 (33.515) Prec@5 59.766 (58.969)
Epoch: [9][3590/5005] Time 0.200 (0.225) Data 0.043 (0.077) Loss 3.1443 (3.1095) Prec@1 34.766 (33.517) Prec@5 55.859 (58.972)
Epoch: [9][3600/5005] Time 0.204 (0.225) Data 0.045 (0.077) Loss 3.1531 (3.1094) Prec@1 35.156 (33.517) Prec@5 58.984 (58.975)
Epoch: [9][3610/5005] Time 0.207 (0.225) Data 0.046 (0.077) Loss 3.0746 (3.1094) Prec@1 34.375 (33.518) Prec@5 59.766 (58.975)
Epoch: [9][3620/5005] Time 0.199 (0.225) Data 0.048 (0.077) Loss 3.2900 (3.1091) Prec@1 32.031 (33.521) Prec@5 57.812 (58.980)
Epoch: [9][3630/5005] Time 0.206 (0.225) Data 0.043 (0.077) Loss 3.4621 (3.1091) Prec@1 28.516 (33.519) Prec@5 53.516 (58.980)
Epoch: [9][3640/5005] Time 0.189 (0.225) Data 0.051 (0.077) Loss 3.0424 (3.1091) Prec@1 30.859 (33.517) Prec@5 61.328 (58.980)
Epoch: [9][3650/5005] Time 0.196 (0.225) Data 0.044 (0.077) Loss 2.9759 (3.1092) Prec@1 36.719 (33.514) Prec@5 58.984 (58.978)
Epoch: [9][3660/5005] Time 0.326 (0.225) Data 0.248 (0.077) Loss 3.2385 (3.1091) Prec@1 30.469 (33.517) Prec@5 56.641 (58.982)
Epoch: [9][3670/5005] Time 0.204 (0.225) Data 0.056 (0.077) Loss 3.1554 (3.1093) Prec@1 37.500 (33.517) Prec@5 56.250 (58.978)
Epoch: [9][3680/5005] Time 0.211 (0.225) Data 0.044 (0.077) Loss 3.1259 (3.1094) Prec@1 30.859 (33.517) Prec@5 58.203 (58.974)
Epoch: [9][3690/5005] Time 0.345 (0.225) Data 0.250 (0.077) Loss 2.9587 (3.1094) Prec@1 32.812 (33.519) Prec@5 62.500 (58.976)
Epoch: [9][3700/5005] Time 0.200 (0.225) Data 0.046 (0.077) Loss 3.0568 (3.1094) Prec@1 33.594 (33.517) Prec@5 60.156 (58.975)
Epoch: [9][3710/5005] Time 0.190 (0.225) Data 0.089 (0.077) Loss 3.0264 (3.1095) Prec@1 32.812 (33.512) Prec@5 59.766 (58.974)
Epoch: [9][3720/5005] Time 0.192 (0.225) Data 0.046 (0.077) Loss 3.2554 (3.1094) Prec@1 33.203 (33.513) Prec@5 58.594 (58.975)
Epoch: [9][3730/5005] Time 0.198 (0.225) Data 0.053 (0.078) Loss 2.9475 (3.1094) Prec@1 34.375 (33.513) Prec@5 62.109 (58.973)
Epoch: [9][3740/5005] Time 0.404 (0.225) Data 0.321 (0.078) Loss 3.0239 (3.1091) Prec@1 33.203 (33.516) Prec@5 57.812 (58.976)
Epoch: [9][3750/5005] Time 0.201 (0.225) Data 0.045 (0.078) Loss 3.1032 (3.1093) Prec@1 33.984 (33.515) Prec@5 57.031 (58.972)
Epoch: [9][3760/5005] Time 0.206 (0.225) Data 0.044 (0.078) Loss 3.2916 (3.1096) Prec@1 28.516 (33.509) Prec@5 57.422 (58.967)
Epoch: [9][3770/5005] Time 0.214 (0.225) Data 0.043 (0.078) Loss 3.2334 (3.1095) Prec@1 31.641 (33.511) Prec@5 55.078 (58.969)
Epoch: [9][3780/5005] Time 0.203 (0.225) Data 0.049 (0.078) Loss 3.1515 (3.1094) Prec@1 30.859 (33.512) Prec@5 57.812 (58.971)
Epoch: [9][3790/5005] Time 0.195 (0.225) Data 0.044 (0.078) Loss 3.2906 (3.1095) Prec@1 30.859 (33.510) Prec@5 56.641 (58.970)
Epoch: [9][3800/5005] Time 0.199 (0.225) Data 0.051 (0.078) Loss 2.8829 (3.1095) Prec@1 39.844 (33.510) Prec@5 60.938 (58.971)
Epoch: [9][3810/5005] Time 0.194 (0.225) Data 0.063 (0.078) Loss 3.1372 (3.1096) Prec@1 33.203 (33.507) Prec@5 61.328 (58.970)
Epoch: [9][3820/5005] Time 0.203 (0.225) Data 0.046 (0.078) Loss 2.9672 (3.1094) Prec@1 36.328 (33.508) Prec@5 58.984 (58.971)
Epoch: [9][3830/5005] Time 0.204 (0.225) Data 0.052 (0.078) Loss 3.0472 (3.1092) Prec@1 33.203 (33.513) Prec@5 60.547 (58.976)
Epoch: [9][3840/5005] Time 0.193 (0.225) Data 0.045 (0.078) Loss 3.2686 (3.1092) Prec@1 29.297 (33.513) Prec@5 51.953 (58.974)
Epoch: [9][3850/5005] Time 0.219 (0.225) Data 0.042 (0.078) Loss 3.0373 (3.1091) Prec@1 33.594 (33.514) Prec@5 59.766 (58.977)
Epoch: [9][3860/5005] Time 0.206 (0.225) Data 0.046 (0.078) Loss 2.8814 (3.1091) Prec@1 41.016 (33.515) Prec@5 60.547 (58.975)
Epoch: [9][3870/5005] Time 0.208 (0.225) Data 0.045 (0.078) Loss 3.0799 (3.1092) Prec@1 31.641 (33.511) Prec@5 58.203 (58.972)
Epoch: [9][3880/5005] Time 0.202 (0.225) Data 0.048 (0.078) Loss 3.0033 (3.1093) Prec@1 36.719 (33.509) Prec@5 58.594 (58.970)
Epoch: [9][3890/5005] Time 0.212 (0.225) Data 0.044 (0.078) Loss 3.4033 (3.1093) Prec@1 27.344 (33.508) Prec@5 53.516 (58.970)
Epoch: [9][3900/5005] Time 0.199 (0.225) Data 0.047 (0.078) Loss 3.3504 (3.1095) Prec@1 30.859 (33.506) Prec@5 55.078 (58.967)
Epoch: [9][3910/5005] Time 0.257 (0.225) Data 0.172 (0.078) Loss 3.1562 (3.1095) Prec@1 31.250 (33.507) Prec@5 58.984 (58.967)
Epoch: [9][3920/5005] Time 0.200 (0.225) Data 0.046 (0.078) Loss 3.0790 (3.1094) Prec@1 33.984 (33.508) Prec@5 57.812 (58.967)
Epoch: [9][3930/5005] Time 0.201 (0.225) Data 0.041 (0.078) Loss 2.8328 (3.1092) Prec@1 37.109 (33.510) Prec@5 62.891 (58.972)
Epoch: [9][3940/5005] Time 0.201 (0.225) Data 0.117 (0.078) Loss 3.0096 (3.1092) Prec@1 36.719 (33.512) Prec@5 61.719 (58.971)
Epoch: [9][3950/5005] Time 0.203 (0.225) Data 0.053 (0.078) Loss 2.9438 (3.1090) Prec@1 40.625 (33.515) Prec@5 62.109 (58.973)
Epoch: [9][3960/5005] Time 0.211 (0.225) Data 0.046 (0.078) Loss 2.9024 (3.1090) Prec@1 37.891 (33.515) Prec@5 62.109 (58.974)
Epoch: [9][3970/5005] Time 0.215 (0.225) Data 0.045 (0.078) Loss 2.9775 (3.1090) Prec@1 36.719 (33.513) Prec@5 61.328 (58.974)
Epoch: [9][3980/5005] Time 0.196 (0.225) Data 0.054 (0.078) Loss 2.8110 (3.1088) Prec@1 38.672 (33.519) Prec@5 64.062 (58.977)
Epoch: [9][3990/5005] Time 0.206 (0.225) Data 0.049 (0.078) Loss 3.2609 (3.1089) Prec@1 29.297 (33.514) Prec@5 59.766 (58.974)
Epoch: [9][4000/5005] Time 0.219 (0.225) Data 0.046 (0.078) Loss 3.0305 (3.1090) Prec@1 33.594 (33.513) Prec@5 61.328 (58.973)
Epoch: [9][4010/5005] Time 0.194 (0.225) Data 0.049 (0.078) Loss 3.2623 (3.1088) Prec@1 33.984 (33.514) Prec@5 57.422 (58.977)
Epoch: [9][4020/5005] Time 0.201 (0.225) Data 0.047 (0.078) Loss 3.2338 (3.1088) Prec@1 34.375 (33.513) Prec@5 56.641 (58.977)
Epoch: [9][4030/5005] Time 0.195 (0.225) Data 0.102 (0.078) Loss 3.4312 (3.1091) Prec@1 31.250 (33.512) Prec@5 56.641 (58.972)
Epoch: [9][4040/5005] Time 0.194 (0.225) Data 0.047 (0.078) Loss 3.2277 (3.1092) Prec@1 32.812 (33.512) Prec@5 54.688 (58.970)
Epoch: [9][4050/5005] Time 0.199 (0.225) Data 0.051 (0.078) Loss 3.3220 (3.1092) Prec@1 28.516 (33.513) Prec@5 55.469 (58.971)
Epoch: [9][4060/5005] Time 0.395 (0.225) Data 0.310 (0.078) Loss 3.1678 (3.1092) Prec@1 34.766 (33.514) Prec@5 56.250 (58.972)
Epoch: [9][4070/5005] Time 0.200 (0.225) Data 0.054 (0.078) Loss 3.2408 (3.1092) Prec@1 36.328 (33.516) Prec@5 59.375 (58.977)
Epoch: [9][4080/5005] Time 0.203 (0.225) Data 0.047 (0.078) Loss 3.0868 (3.1091) Prec@1 30.859 (33.517) Prec@5 59.375 (58.979)
Epoch: [9][4090/5005] Time 0.190 (0.225) Data 0.055 (0.078) Loss 3.2891 (3.1091) Prec@1 32.031 (33.517) Prec@5 58.203 (58.980)
Epoch: [9][4100/5005] Time 0.545 (0.225) Data 0.463 (0.078) Loss 3.0140 (3.1091) Prec@1 33.594 (33.515) Prec@5 59.766 (58.980)
Epoch: [9][4110/5005] Time 0.214 (0.225) Data 0.045 (0.078) Loss 3.4475 (3.1091) Prec@1 25.391 (33.512) Prec@5 51.562 (58.977)
Epoch: [9][4120/5005] Time 0.194 (0.225) Data 0.054 (0.078) Loss 3.2352 (3.1090) Prec@1 31.250 (33.515) Prec@5 58.984 (58.979)
Epoch: [9][4130/5005] Time 0.198 (0.225) Data 0.063 (0.078) Loss 3.3723 (3.1090) Prec@1 28.906 (33.514) Prec@5 54.297 (58.981)
Epoch: [9][4140/5005] Time 0.198 (0.225) Data 0.049 (0.078) Loss 3.2146 (3.1089) Prec@1 28.906 (33.514) Prec@5 57.031 (58.983)
Epoch: [9][4150/5005] Time 0.204 (0.225) Data 0.042 (0.078) Loss 3.4034 (3.1091) Prec@1 28.516 (33.510) Prec@5 55.078 (58.982)
Epoch: [9][4160/5005] Time 0.207 (0.225) Data 0.045 (0.078) Loss 3.0204 (3.1093) Prec@1 34.375 (33.507) Prec@5 59.766 (58.979)
Epoch: [9][4170/5005] Time 0.193 (0.225) Data 0.095 (0.078) Loss 2.9407 (3.1090) Prec@1 32.422 (33.511) Prec@5 63.281 (58.986)
Epoch: [9][4180/5005] Time 0.208 (0.225) Data 0.038 (0.078) Loss 2.9806 (3.1088) Prec@1 37.109 (33.514) Prec@5 64.453 (58.987)
Epoch: [9][4190/5005] Time 0.252 (0.225) Data 0.166 (0.078) Loss 3.0075 (3.1088) Prec@1 37.109 (33.516) Prec@5 60.156 (58.987)
Epoch: [9][4200/5005] Time 0.192 (0.225) Data 0.061 (0.078) Loss 2.9168 (3.1088) Prec@1 38.672 (33.517) Prec@5 62.500 (58.988)
Epoch: [9][4210/5005] Time 0.202 (0.225) Data 0.040 (0.078) Loss 2.9078 (3.1087) Prec@1 38.672 (33.521) Prec@5 62.891 (58.990)
Epoch: [9][4220/5005] Time 0.208 (0.225) Data 0.043 (0.078) Loss 3.3323 (3.1089) Prec@1 30.859 (33.520) Prec@5 56.250 (58.989)
Epoch: [9][4230/5005] Time 0.204 (0.225) Data 0.045 (0.078) Loss 3.2126 (3.1088) Prec@1 32.422 (33.521) Prec@5 56.641 (58.989)
Epoch: [9][4240/5005] Time 0.200 (0.225) Data 0.052 (0.078) Loss 2.9720 (3.1089) Prec@1 33.594 (33.519) Prec@5 60.938 (58.986)
Epoch: [9][4250/5005] Time 0.222 (0.225) Data 0.137 (0.078) Loss 3.0348 (3.1087) Prec@1 35.938 (33.525) Prec@5 58.203 (58.987)
Epoch: [9][4260/5005] Time 0.210 (0.225) Data 0.047 (0.078) Loss 3.1254 (3.1087) Prec@1 31.250 (33.524) Prec@5 61.328 (58.990)
Epoch: [9][4270/5005] Time 0.196 (0.225) Data 0.056 (0.078) Loss 3.2692 (3.1088) Prec@1 31.250 (33.525) Prec@5 57.031 (58.989)
Epoch: [9][4280/5005] Time 0.208 (0.225) Data 0.051 (0.078) Loss 3.2054 (3.1088) Prec@1 28.125 (33.524) Prec@5 56.250 (58.992)
Epoch: [9][4290/5005] Time 0.212 (0.225) Data 0.044 (0.078) Loss 3.2591 (3.1088) Prec@1 35.547 (33.521) Prec@5 56.641 (58.991)
Epoch: [9][4300/5005] Time 0.207 (0.225) Data 0.042 (0.078) Loss 3.0836 (3.1087) Prec@1 33.203 (33.522) Prec@5 57.422 (58.994)
Epoch: [9][4310/5005] Time 0.199 (0.225) Data 0.050 (0.078) Loss 2.9852 (3.1087) Prec@1 34.766 (33.524) Prec@5 59.375 (58.993)
Epoch: [9][4320/5005] Time 0.190 (0.225) Data 0.100 (0.078) Loss 3.1626 (3.1087) Prec@1 37.891 (33.525) Prec@5 60.156 (58.992)
Epoch: [9][4330/5005] Time 0.405 (0.225) Data 0.321 (0.078) Loss 2.9738 (3.1087) Prec@1 37.891 (33.527) Prec@5 59.766 (58.992)
Epoch: [9][4340/5005] Time 0.205 (0.225) Data 0.048 (0.078) Loss 3.1337 (3.1088) Prec@1 32.031 (33.524) Prec@5 56.641 (58.992)
Epoch: [9][4350/5005] Time 0.207 (0.225) Data 0.043 (0.078) Loss 3.1331 (3.1087) Prec@1 37.500 (33.528) Prec@5 58.594 (58.994)
Epoch: [9][4360/5005] Time 0.205 (0.225) Data 0.049 (0.078) Loss 3.0767 (3.1086) Prec@1 26.953 (33.528) Prec@5 60.156 (58.994)
Epoch: [9][4370/5005] Time 0.203 (0.225) Data 0.049 (0.078) Loss 3.0241 (3.1085) Prec@1 33.203 (33.532) Prec@5 58.203 (58.995)
Epoch: [9][4380/5005] Time 0.199 (0.225) Data 0.046 (0.078) Loss 3.0862 (3.1085) Prec@1 30.469 (33.528) Prec@5 58.594 (58.997)
Epoch: [9][4390/5005] Time 0.201 (0.225) Data 0.049 (0.078) Loss 3.2266 (3.1083) Prec@1 28.906 (33.533) Prec@5 55.469 (59.001)
Epoch: [9][4400/5005] Time 0.208 (0.225) Data 0.041 (0.078) Loss 3.0767 (3.1082) Prec@1 34.375 (33.533) Prec@5 57.422 (59.001)
Epoch: [9][4410/5005] Time 0.209 (0.225) Data 0.059 (0.078) Loss 2.9821 (3.1081) Prec@1 32.812 (33.532) Prec@5 62.109 (59.006)
Epoch: [9][4420/5005] Time 0.205 (0.225) Data 0.050 (0.078) Loss 2.7045 (3.1080) Prec@1 38.672 (33.528) Prec@5 64.062 (59.005)
Epoch: [9][4430/5005] Time 0.196 (0.225) Data 0.047 (0.078) Loss 3.1272 (3.1077) Prec@1 33.203 (33.532) Prec@5 58.203 (59.011)
Epoch: [9][4440/5005] Time 0.200 (0.225) Data 0.045 (0.078) Loss 3.1361 (3.1076) Prec@1 33.594 (33.534) Prec@5 60.938 (59.011)
Epoch: [9][4450/5005] Time 0.209 (0.225) Data 0.044 (0.078) Loss 3.0224 (3.1076) Prec@1 34.375 (33.535) Prec@5 59.375 (59.010)
Epoch: [9][4460/5005] Time 0.206 (0.225) Data 0.040 (0.078) Loss 3.1591 (3.1076) Prec@1 33.984 (33.537) Prec@5 59.766 (59.008)
Epoch: [9][4470/5005] Time 0.210 (0.225) Data 0.044 (0.078) Loss 3.0903 (3.1076) Prec@1 35.156 (33.537) Prec@5 59.375 (59.009)
Epoch: [9][4480/5005] Time 0.497 (0.225) Data 0.413 (0.078) Loss 2.7372 (3.1077) Prec@1 40.234 (33.536) Prec@5 65.625 (59.009)
Epoch: [9][4490/5005] Time 0.223 (0.225) Data 0.138 (0.078) Loss 3.1411 (3.1077) Prec@1 34.375 (33.535) Prec@5 58.203 (59.007)
Epoch: [9][4500/5005] Time 0.346 (0.225) Data 0.260 (0.078) Loss 3.0069 (3.1077) Prec@1 36.328 (33.536) Prec@5 61.719 (59.008)
Epoch: [9][4510/5005] Time 0.198 (0.225) Data 0.047 (0.078) Loss 3.0913 (3.1077) Prec@1 35.156 (33.535) Prec@5 60.547 (59.008)
Epoch: [9][4520/5005] Time 0.198 (0.225) Data 0.043 (0.078) Loss 3.2519 (3.1077) Prec@1 29.688 (33.534) Prec@5 58.594 (59.009)
Epoch: [9][4530/5005] Time 0.201 (0.225) Data 0.043 (0.078) Loss 2.9118 (3.1076) Prec@1 38.281 (33.536) Prec@5 59.766 (59.011)
Epoch: [9][4540/5005] Time 0.201 (0.225) Data 0.045 (0.078) Loss 3.2652 (3.1078) Prec@1 31.250 (33.534) Prec@5 57.812 (59.010)
Epoch: [9][4550/5005] Time 0.199 (0.225) Data 0.045 (0.078) Loss 3.1906 (3.1078) Prec@1 33.594 (33.534) Prec@5 55.469 (59.010)
Epoch: [9][4560/5005] Time 0.201 (0.225) Data 0.047 (0.078) Loss 2.9786 (3.1077) Prec@1 34.766 (33.537) Prec@5 62.109 (59.010)
Epoch: [9][4570/5005] Time 0.197 (0.225) Data 0.047 (0.078) Loss 3.1131 (3.1076) Prec@1 35.938 (33.540) Prec@5 59.766 (59.012)
Epoch: [9][4580/5005] Time 0.205 (0.225) Data 0.050 (0.078) Loss 3.1838 (3.1076) Prec@1 25.391 (33.541) Prec@5 57.812 (59.014)
Epoch: [9][4590/5005] Time 0.212 (0.225) Data 0.047 (0.078) Loss 2.9607 (3.1076) Prec@1 36.719 (33.541) Prec@5 62.500 (59.014)
Epoch: [9][4600/5005] Time 0.198 (0.225) Data 0.109 (0.078) Loss 2.8473 (3.1076) Prec@1 39.453 (33.542) Prec@5 63.281 (59.012)
Epoch: [9][4610/5005] Time 0.198 (0.225) Data 0.048 (0.078) Loss 2.9160 (3.1075) Prec@1 38.281 (33.542) Prec@5 60.547 (59.011)
Epoch: [9][4620/5005] Time 0.905 (0.225) Data 0.820 (0.079) Loss 3.1504 (3.1076) Prec@1 32.031 (33.540) Prec@5 57.812 (59.011)
Epoch: [9][4630/5005] Time 0.204 (0.225) Data 0.100 (0.078) Loss 2.7957 (3.1075) Prec@1 38.672 (33.540) Prec@5 63.672 (59.014)
Epoch: [9][4640/5005] Time 0.314 (0.225) Data 0.232 (0.079) Loss 3.1244 (3.1075) Prec@1 35.547 (33.539) Prec@5 58.594 (59.015)
Epoch: [9][4650/5005] Time 0.192 (0.225) Data 0.048 (0.079) Loss 3.0861 (3.1075) Prec@1 30.469 (33.538) Prec@5 57.031 (59.016)
Epoch: [9][4660/5005] Time 0.201 (0.225) Data 0.045 (0.079) Loss 3.4578 (3.1075) Prec@1 25.781 (33.539) Prec@5 53.906 (59.016)
Epoch: [9][4670/5005] Time 0.351 (0.225) Data 0.273 (0.079) Loss 3.0223 (3.1075) Prec@1 31.250 (33.539) Prec@5 60.156 (59.015)
Epoch: [9][4680/5005] Time 0.208 (0.225) Data 0.049 (0.079) Loss 2.9494 (3.1076) Prec@1 36.328 (33.540) Prec@5 60.938 (59.014)
Epoch: [9][4690/5005] Time 0.207 (0.225) Data 0.046 (0.079) Loss 3.1024 (3.1076) Prec@1 32.031 (33.539) Prec@5 57.031 (59.012)
Epoch: [9][4700/5005] Time 0.203 (0.225) Data 0.043 (0.079) Loss 2.9708 (3.1076) Prec@1 37.500 (33.542) Prec@5 61.719 (59.015)
Epoch: [9][4710/5005] Time 0.193 (0.225) Data 0.093 (0.079) Loss 2.9990 (3.1073) Prec@1 35.156 (33.546) Prec@5 60.156 (59.019)
Epoch: [9][4720/5005] Time 0.204 (0.225) Data 0.045 (0.079) Loss 2.8857 (3.1072) Prec@1 39.453 (33.548) Prec@5 63.672 (59.021)
Epoch: [9][4730/5005] Time 0.212 (0.225) Data 0.042 (0.079) Loss 3.0709 (3.1074) Prec@1 32.031 (33.546) Prec@5 62.109 (59.017)
Epoch: [9][4740/5005] Time 0.193 (0.225) Data 0.086 (0.079) Loss 3.1546 (3.1072) Prec@1 30.469 (33.549) Prec@5 57.812 (59.019)
Epoch: [9][4750/5005] Time 0.206 (0.225) Data 0.044 (0.079) Loss 3.0701 (3.1072) Prec@1 37.500 (33.553) Prec@5 59.375 (59.021)
Epoch: [9][4760/5005] Time 0.205 (0.225) Data 0.067 (0.079) Loss 3.4674 (3.1071) Prec@1 25.391 (33.554) Prec@5 53.125 (59.023)
Epoch: [9][4770/5005] Time 0.200 (0.225) Data 0.050 (0.079) Loss 3.0369 (3.1071) Prec@1 35.156 (33.555) Prec@5 62.109 (59.025)
Epoch: [9][4780/5005] Time 0.206 (0.225) Data 0.044 (0.079) Loss 3.2680 (3.1071) Prec@1 29.688 (33.555) Prec@5 57.031 (59.025)
Epoch: [9][4790/5005] Time 0.204 (0.225) Data 0.040 (0.079) Loss 3.3723 (3.1072) Prec@1 33.984 (33.555) Prec@5 51.953 (59.023)
Epoch: [9][4800/5005] Time 0.223 (0.225) Data 0.047 (0.079) Loss 3.2200 (3.1071) Prec@1 29.688 (33.555) Prec@5 60.547 (59.024)
Epoch: [9][4810/5005] Time 0.200 (0.225) Data 0.048 (0.079) Loss 3.1173 (3.1071) Prec@1 33.594 (33.553) Prec@5 60.156 (59.027)
Epoch: [9][4820/5005] Time 0.197 (0.225) Data 0.049 (0.079) Loss 3.3276 (3.1069) Prec@1 32.031 (33.556) Prec@5 54.297 (59.030)
Epoch: [9][4830/5005] Time 0.193 (0.225) Data 0.042 (0.079) Loss 3.1040 (3.1067) Prec@1 33.984 (33.558) Prec@5 59.766 (59.034)
Epoch: [9][4840/5005] Time 0.205 (0.225) Data 0.043 (0.079) Loss 2.7911 (3.1068) Prec@1 41.016 (33.559) Prec@5 66.797 (59.033)
Epoch: [9][4850/5005] Time 0.198 (0.225) Data 0.048 (0.079) Loss 3.2310 (3.1069) Prec@1 30.078 (33.558) Prec@5 53.516 (59.031)
Epoch: [9][4860/5005] Time 0.202 (0.225) Data 0.044 (0.079) Loss 2.9865 (3.1068) Prec@1 31.641 (33.558) Prec@5 60.938 (59.031)
Epoch: [9][4870/5005] Time 0.263 (0.225) Data 0.177 (0.079) Loss 3.0446 (3.1069) Prec@1 39.062 (33.558) Prec@5 55.469 (59.028)
Epoch: [9][4880/5005] Time 0.231 (0.225) Data 0.143 (0.079) Loss 2.9018 (3.1067) Prec@1 41.016 (33.562) Prec@5 63.672 (59.030)
Epoch: [9][4890/5005] Time 0.200 (0.225) Data 0.039 (0.079) Loss 3.0382 (3.1067) Prec@1 34.766 (33.563) Prec@5 59.766 (59.029)
Epoch: [9][4900/5005] Time 0.205 (0.225) Data 0.041 (0.079) Loss 3.0074 (3.1068) Prec@1 33.984 (33.562) Prec@5 61.328 (59.030)
Epoch: [9][4910/5005] Time 0.210 (0.225) Data 0.047 (0.079) Loss 3.0479 (3.1065) Prec@1 34.375 (33.566) Prec@5 62.109 (59.035)
Epoch: [9][4920/5005] Time 0.209 (0.225) Data 0.044 (0.079) Loss 3.0696 (3.1065) Prec@1 32.031 (33.565) Prec@5 58.594 (59.035)
Epoch: [9][4930/5005] Time 0.196 (0.225) Data 0.050 (0.079) Loss 3.0857 (3.1063) Prec@1 34.766 (33.565) Prec@5 60.156 (59.039)
Epoch: [9][4940/5005] Time 0.201 (0.225) Data 0.046 (0.079) Loss 3.2113 (3.1063) Prec@1 29.688 (33.565) Prec@5 56.250 (59.039)
Epoch: [9][4950/5005] Time 0.200 (0.225) Data 0.107 (0.079) Loss 2.8694 (3.1064) Prec@1 36.719 (33.565) Prec@5 62.500 (59.038)
Epoch: [9][4960/5005] Time 0.204 (0.225) Data 0.045 (0.079) Loss 3.3166 (3.1064) Prec@1 29.688 (33.566) Prec@5 57.812 (59.039)
Epoch: [9][4970/5005] Time 0.264 (0.225) Data 0.183 (0.079) Loss 3.1836 (3.1063) Prec@1 30.859 (33.566) Prec@5 54.297 (59.040)
Epoch: [9][4980/5005] Time 0.205 (0.225) Data 0.058 (0.079) Loss 3.1334 (3.1061) Prec@1 32.812 (33.568) Prec@5 60.938 (59.043)
Epoch: [9][4990/5005] Time 0.194 (0.225) Data 0.035 (0.079) Loss 3.3095 (3.1061) Prec@1 29.688 (33.570) Prec@5 53.906 (59.043)
Epoch: [9][5000/5005] Time 0.201 (0.225) Data 0.022 (0.079) Loss 3.1395 (3.1062) Prec@1 30.859 (33.567) Prec@5 58.203 (59.043)
Test: [0/196] Time 2.688 (2.688) Loss 3.1178 (3.1178) Prec@1 34.375 (34.375) Prec@5 61.719 (61.719)
Test: [10/196] Time 0.044 (0.380) Loss 3.1409 (3.2525) Prec@1 33.984 (31.250) Prec@5 58.594 (56.783)
Test: [20/196] Time 0.043 (0.292) Loss 3.0904 (3.2428) Prec@1 36.328 (31.882) Prec@5 58.203 (56.808)
Test: [30/196] Time 0.488 (0.284) Loss 3.1934 (3.2622) Prec@1 31.250 (31.275) Prec@5 55.469 (56.439)
Test: [40/196] Time 0.044 (0.267) Loss 3.0082 (3.2564) Prec@1 36.719 (31.574) Prec@5 61.328 (56.421)
Test: [50/196] Time 0.578 (0.265) Loss 3.2562 (3.2600) Prec@1 31.641 (31.595) Prec@5 61.328 (56.281)
Test: [60/196] Time 0.180 (0.251) Loss 3.0510 (3.2462) Prec@1 35.938 (31.852) Prec@5 55.469 (56.372)
Test: [70/196] Time 0.046 (0.251) Loss 3.2520 (3.2396) Prec@1 28.516 (31.839) Prec@5 57.031 (56.580)
Test: [80/196] Time 0.230 (0.248) Loss 3.1266 (3.2470) Prec@1 33.984 (31.698) Prec@5 61.719 (56.491)
Test: [90/196] Time 0.045 (0.241) Loss 3.1879 (3.2482) Prec@1 33.594 (31.636) Prec@5 58.203 (56.460)
Test: [100/196] Time 0.043 (0.244) Loss 3.3607 (3.2473) Prec@1 32.031 (31.764) Prec@5 57.031 (56.559)
Test: [110/196] Time 0.043 (0.241) Loss 3.4342 (3.2497) Prec@1 30.078 (31.803) Prec@5 54.297 (56.690)
Test: [120/196] Time 0.105 (0.237) Loss 3.0581 (3.2456) Prec@1 33.594 (31.902) Prec@5 58.984 (56.666)
Test: [130/196] Time 0.127 (0.237) Loss 2.9302 (3.2427) Prec@1 34.766 (31.990) Prec@5 60.938 (56.682)
Test: [140/196] Time 0.042 (0.235) Loss 2.9772 (3.2421) Prec@1 38.281 (32.012) Prec@5 60.938 (56.721)
Test: [150/196] Time 0.291 (0.235) Loss 2.9490 (3.2388) Prec@1 36.328 (32.088) Prec@5 62.109 (56.861)
Test: [160/196] Time 0.044 (0.235) Loss 3.1411 (3.2374) Prec@1 38.281 (32.114) Prec@5 57.812 (56.874)
Test: [170/196] Time 0.620 (0.235) Loss 3.0556 (3.2390) Prec@1 35.938 (32.139) Prec@5 59.766 (56.862)
Test: [180/196] Time 0.259 (0.233) Loss 3.5187 (3.2459) Prec@1 26.172 (32.033) Prec@5 54.297 (56.736)
Test: [190/196] Time 0.041 (0.232) Loss 3.5321 (3.2497) Prec@1 27.344 (31.970) Prec@5 48.438 (56.663)
* Prec@1 31.996 Prec@5 56.708
Learning rate: 0.001
Epoch: [10][0/5005] Time 1.967 (1.967) Data 1.872 (1.872) Loss 2.9476 (2.9476) Prec@1 32.422 (32.422) Prec@5 62.109 (62.109)
Epoch: [10][10/5005] Time 0.194 (0.361) Data 0.045 (0.216) Loss 3.0017 (3.1022) Prec@1 36.719 (32.990) Prec@5 62.109 (59.801)
Epoch: [10][20/5005] Time 0.201 (0.285) Data 0.059 (0.135) Loss 3.2330 (3.1155) Prec@1 32.422 (32.794) Prec@5 57.812 (59.319)
Epoch: [10][30/5005] Time 0.196 (0.257) Data 0.043 (0.106) Loss 3.2223 (3.0829) Prec@1 32.812 (33.556) Prec@5 56.250 (59.791)
Epoch: [10][40/5005] Time 0.199 (0.244) Data 0.039 (0.090) Loss 3.0970 (3.0842) Prec@1 33.984 (33.537) Prec@5 60.156 (59.842)
Epoch: [10][50/5005] Time 0.208 (0.235) Data 0.042 (0.082) Loss 2.9859 (3.0742) Prec@1 32.812 (33.732) Prec@5 61.719 (59.965)
Epoch: [10][60/5005] Time 0.222 (0.230) Data 0.046 (0.075) Loss 2.9948 (3.0730) Prec@1 36.328 (33.818) Prec@5 64.453 (59.977)
Epoch: [10][70/5005] Time 0.200 (0.225) Data 0.051 (0.072) Loss 3.0945 (3.0868) Prec@1 32.422 (33.583) Prec@5 57.812 (59.628)
Epoch: [10][80/5005] Time 0.196 (0.222) Data 0.039 (0.068) Loss 3.1176 (3.0812) Prec@1 33.594 (33.681) Prec@5 62.109 (59.713)
Epoch: [10][90/5005] Time 0.206 (0.220) Data 0.048 (0.066) Loss 3.1952 (3.0783) Prec@1 33.594 (33.770) Prec@5 58.984 (59.834)
Epoch: [10][100/5005] Time 0.192 (0.218) Data 0.059 (0.065) Loss 2.8695 (3.0780) Prec@1 35.938 (33.756) Prec@5 61.719 (59.843)
Epoch: [10][110/5005] Time 0.203 (0.217) Data 0.044 (0.063) Loss 3.1720 (3.0826) Prec@1 35.938 (33.837) Prec@5 55.859 (59.748)
Epoch: [10][120/5005] Time 0.201 (0.215) Data 0.041 (0.061) Loss 3.1449 (3.0859) Prec@1 32.031 (33.871) Prec@5 57.031 (59.662)
Epoch: [10][130/5005] Time 0.196 (0.214) Data 0.044 (0.061) Loss 3.2862 (3.0857) Prec@1 29.688 (33.802) Prec@5 54.297 (59.622)
Epoch: [10][140/5005] Time 0.203 (0.218) Data 0.043 (0.066) Loss 3.2006 (3.0840) Prec@1 33.203 (33.763) Prec@5 56.250 (59.652)
Epoch: [10][150/5005] Time 0.206 (0.218) Data 0.123 (0.067) Loss 3.1228 (3.0845) Prec@1 33.203 (33.718) Prec@5 62.109 (59.696)
Epoch: [10][160/5005] Time 0.191 (0.219) Data 0.105 (0.070) Loss 2.9942 (3.0838) Prec@1 33.984 (33.742) Prec@5 58.984 (59.683)
Epoch: [10][170/5005] Time 0.201 (0.222) Data 0.050 (0.074) Loss 3.2288 (3.0843) Prec@1 28.516 (33.749) Prec@5 60.547 (59.688)
Epoch: [10][180/5005] Time 0.204 (0.223) Data 0.104 (0.076) Loss 3.2935 (3.0862) Prec@1 34.375 (33.766) Prec@5 56.641 (59.628)
Epoch: [10][190/5005] Time 0.211 (0.225) Data 0.044 (0.078) Loss 3.2699 (3.0909) Prec@1 31.641 (33.712) Prec@5 57.422 (59.537)
Epoch: [10][200/5005] Time 0.208 (0.224) Data 0.039 (0.076) Loss 3.2130 (3.0908) Prec@1 32.422 (33.703) Prec@5 57.812 (59.519)
Epoch: [10][210/5005] Time 0.226 (0.225) Data 0.043 (0.077) Loss 2.8785 (3.0899) Prec@1 37.109 (33.747) Prec@5 62.109 (59.488)
Epoch: [10][220/5005] Time 0.218 (0.225) Data 0.051 (0.078) Loss 3.0361 (3.0899) Prec@1 33.203 (33.762) Prec@5 60.938 (59.481)
Epoch: [10][230/5005] Time 0.204 (0.225) Data 0.048 (0.077) Loss 3.1483 (3.0900) Prec@1 31.250 (33.749) Prec@5 59.375 (59.509)
Epoch: [10][240/5005] Time 0.205 (0.226) Data 0.062 (0.078) Loss 2.9277 (3.0900) Prec@1 37.500 (33.701) Prec@5 62.109 (59.469)
Epoch: [10][250/5005] Time 0.209 (0.225) Data 0.047 (0.077) Loss 3.2666 (3.0892) Prec@1 32.812 (33.726) Prec@5 54.297 (59.429)
Epoch: [10][260/5005] Time 0.216 (0.226) Data 0.043 (0.076) Loss 2.9455 (3.0892) Prec@1 34.375 (33.728) Prec@5 60.156 (59.426)
Epoch: [10][270/5005] Time 0.197 (0.226) Data 0.050 (0.076) Loss 3.0259 (3.0886) Prec@1 35.547 (33.739) Prec@5 58.984 (59.392)
Epoch: [10][280/5005] Time 0.211 (0.229) Data 0.049 (0.079) Loss 3.6250 (3.0925) Prec@1 28.906 (33.723) Prec@5 52.344 (59.310)
Epoch: [10][290/5005] Time 0.216 (0.229) Data 0.040 (0.079) Loss 2.9702 (3.0938) Prec@1 36.719 (33.711) Prec@5 60.156 (59.258)
Epoch: [10][300/5005] Time 0.205 (0.229) Data 0.044 (0.080) Loss 2.8781 (3.0931) Prec@1 35.938 (33.714) Prec@5 64.844 (59.298)
Epoch: [10][310/5005] Time 0.215 (0.230) Data 0.040 (0.080) Loss 3.0354 (3.0904) Prec@1 30.469 (33.736) Prec@5 60.156 (59.324)
Epoch: [10][320/5005] Time 0.213 (0.230) Data 0.042 (0.080) Loss 3.2235 (3.0897) Prec@1 30.469 (33.757) Prec@5 57.422 (59.376)
Epoch: [10][330/5005] Time 0.210 (0.230) Data 0.039 (0.080) Loss 2.7653 (3.0869) Prec@1 35.938 (33.786) Prec@5 63.672 (59.408)
Epoch: [10][340/5005] Time 0.352 (0.229) Data 0.264 (0.080) Loss 3.1839 (3.0895) Prec@1 37.109 (33.748) Prec@5 61.328 (59.365)
Epoch: [10][350/5005] Time 0.213 (0.230) Data 0.055 (0.081) Loss 3.4055 (3.0892) Prec@1 28.516 (33.737) Prec@5 54.688 (59.375)
Epoch: [10][360/5005] Time 0.208 (0.230) Data 0.044 (0.081) Loss 3.1867 (3.0887) Prec@1 32.031 (33.755) Prec@5 58.594 (59.374)
Epoch: [10][370/5005] Time 0.205 (0.229) Data 0.050 (0.080) Loss 3.1496 (3.0867) Prec@1 31.641 (33.778) Prec@5 59.375 (59.436)
Epoch: [10][380/5005] Time 0.197 (0.228) Data 0.059 (0.079) Loss 3.1214 (3.0886) Prec@1 33.594 (33.758) Prec@5 59.375 (59.386)
Epoch: [10][390/5005] Time 0.214 (0.228) Data 0.050 (0.078) Loss 3.0730 (3.0894) Prec@1 39.453 (33.751) Prec@5 60.547 (59.385)
Epoch: [10][400/5005] Time 0.215 (0.228) Data 0.047 (0.077) Loss 2.9747 (3.0884) Prec@1 33.984 (33.760) Prec@5 60.547 (59.411)
Epoch: [10][410/5005] Time 0.206 (0.227) Data 0.062 (0.077) Loss 2.9096 (3.0883) Prec@1 33.203 (33.759) Prec@5 61.328 (59.418)
Epoch: [10][420/5005] Time 0.211 (0.227) Data 0.041 (0.076) Loss 3.0001 (3.0881) Prec@1 37.109 (33.754) Prec@5 61.719 (59.415)
Epoch: [10][430/5005] Time 0.201 (0.226) Data 0.046 (0.076) Loss 3.0017 (3.0879) Prec@1 39.453 (33.785) Prec@5 63.672 (59.416)
Epoch: [10][440/5005] Time 0.222 (0.226) Data 0.043 (0.075) Loss 2.8643 (3.0866) Prec@1 39.453 (33.795) Prec@5 61.328 (59.442)
Epoch: [10][450/5005] Time 0.216 (0.226) Data 0.043 (0.074) Loss 2.9701 (3.0866) Prec@1 33.594 (33.788) Prec@5 57.031 (59.413)
Epoch: [10][460/5005] Time 0.209 (0.226) Data 0.040 (0.074) Loss 3.2511 (3.0861) Prec@1 29.688 (33.799) Prec@5 60.156 (59.437)
Epoch: [10][470/5005] Time 0.221 (0.225) Data 0.043 (0.073) Loss 3.2153 (3.0874) Prec@1 30.078 (33.810) Prec@5 58.594 (59.409)
Epoch: [10][480/5005] Time 0.216 (0.225) Data 0.061 (0.072) Loss 3.0670 (3.0868) Prec@1 33.984 (33.827) Prec@5 58.203 (59.420)
Epoch: [10][490/5005] Time 0.213 (0.225) Data 0.054 (0.072) Loss 3.1018 (3.0875) Prec@1 35.547 (33.814) Prec@5 58.984 (59.385)
Epoch: [10][500/5005] Time 0.211 (0.224) Data 0.040 (0.072) Loss 3.2577 (3.0903) Prec@1 30.469 (33.775) Prec@5 58.203 (59.344)
Epoch: [10][510/5005] Time 0.217 (0.224) Data 0.046 (0.071) Loss 3.2279 (3.0910) Prec@1 33.594 (33.796) Prec@5 55.469 (59.338)
Epoch: [10][520/5005] Time 0.221 (0.224) Data 0.043 (0.071) Loss 3.2049 (3.0905) Prec@1 31.250 (33.806) Prec@5 56.250 (59.338)
Epoch: [10][530/5005] Time 0.207 (0.224) Data 0.054 (0.070) Loss 3.0570 (3.0906) Prec@1 33.594 (33.811) Prec@5 59.766 (59.326)
Epoch: [10][540/5005] Time 0.217 (0.224) Data 0.042 (0.070) Loss 3.2338 (3.0910) Prec@1 31.250 (33.784) Prec@5 59.375 (59.331)
Epoch: [10][550/5005] Time 0.214 (0.223) Data 0.044 (0.069) Loss 2.9928 (3.0903) Prec@1 35.547 (33.794) Prec@5 58.984 (59.318)
Epoch: [10][560/5005] Time 0.209 (0.223) Data 0.049 (0.069) Loss 3.1810 (3.0898) Prec@1 32.422 (33.793) Prec@5 58.594 (59.351)
Epoch: [10][570/5005] Time 0.214 (0.223) Data 0.049 (0.069) Loss 3.0584 (3.0901) Prec@1 35.547 (33.775) Prec@5 57.422 (59.340)
Epoch: [10][580/5005] Time 0.219 (0.223) Data 0.045 (0.068) Loss 3.0983 (3.0891) Prec@1 31.250 (33.767) Prec@5 60.547 (59.370)
Epoch: [10][590/5005] Time 0.214 (0.223) Data 0.048 (0.068) Loss 3.2763 (3.0887) Prec@1 27.734 (33.749) Prec@5 53.516 (59.358)
Epoch: [10][600/5005] Time 0.203 (0.222) Data 0.048 (0.068) Loss 3.0402 (3.0896) Prec@1 32.812 (33.739) Prec@5 61.719 (59.364)
Epoch: [10][610/5005] Time 0.201 (0.222) Data 0.050 (0.067) Loss 2.9343 (3.0892) Prec@1 35.547 (33.750) Prec@5 62.500 (59.371)
Epoch: [10][620/5005] Time 0.222 (0.222) Data 0.042 (0.067) Loss 3.1294 (3.0885) Prec@1 32.812 (33.758) Prec@5 58.984 (59.379)
Epoch: [10][630/5005] Time 0.207 (0.222) Data 0.043 (0.066) Loss 3.1871 (3.0881) Prec@1 34.375 (33.779) Prec@5 60.938 (59.403)
Epoch: [10][640/5005] Time 0.214 (0.222) Data 0.041 (0.066) Loss 2.9256 (3.0880) Prec@1 35.547 (33.776) Prec@5 60.938 (59.394)
Epoch: [10][650/5005] Time 0.207 (0.222) Data 0.057 (0.066) Loss 3.3011 (3.0897) Prec@1 29.297 (33.759) Prec@5 54.297 (59.359)
Epoch: [10][660/5005] Time 0.216 (0.221) Data 0.044 (0.065) Loss 3.1177 (3.0891) Prec@1 32.812 (33.762) Prec@5 62.500 (59.377)
Epoch: [10][670/5005] Time 0.216 (0.221) Data 0.044 (0.065) Loss 3.3109 (3.0897) Prec@1 30.469 (33.757) Prec@5 57.812 (59.368)
Epoch: [10][680/5005] Time 0.214 (0.221) Data 0.044 (0.065) Loss 3.0828 (3.0897) Prec@1 32.812 (33.750) Prec@5 62.891 (59.378)
Epoch: [10][690/5005] Time 0.214 (0.221) Data 0.044 (0.065) Loss 2.9277 (3.0896) Prec@1 39.062 (33.746) Prec@5 65.234 (59.395)
Epoch: [10][700/5005] Time 0.212 (0.221) Data 0.044 (0.064) Loss 3.1066 (3.0894) Prec@1 33.203 (33.743) Prec@5 56.250 (59.379)
Epoch: [10][710/5005] Time 0.205 (0.221) Data 0.043 (0.064) Loss 2.9109 (3.0892) Prec@1 33.594 (33.733) Prec@5 61.719 (59.389)
Epoch: [10][720/5005] Time 0.200 (0.221) Data 0.048 (0.064) Loss 3.1156 (3.0885) Prec@1 32.422 (33.740) Prec@5 58.203 (59.398)
Epoch: [10][730/5005] Time 0.207 (0.221) Data 0.047 (0.064) Loss 3.3728 (3.0893) Prec@1 32.422 (33.736) Prec@5 57.422 (59.388)
Epoch: [10][740/5005] Time 0.211 (0.220) Data 0.052 (0.063) Loss 3.1697 (3.0892) Prec@1 31.250 (33.741) Prec@5 58.594 (59.380)
Epoch: [10][750/5005] Time 0.211 (0.220) Data 0.052 (0.063) Loss 2.8834 (3.0887) Prec@1 35.547 (33.748) Prec@5 61.328 (59.395)
Epoch: [10][760/5005] Time 0.210 (0.220) Data 0.049 (0.063) Loss 3.0555 (3.0897) Prec@1 37.109 (33.729) Prec@5 60.547 (59.373)
Epoch: [10][770/5005] Time 0.215 (0.220) Data 0.052 (0.063) Loss 3.0329 (3.0881) Prec@1 35.156 (33.755) Prec@5 60.156 (59.402)
Epoch: [10][780/5005] Time 0.210 (0.220) Data 0.041 (0.063) Loss 3.1265 (3.0877) Prec@1 34.766 (33.762) Prec@5 58.594 (59.402)
Epoch: [10][790/5005] Time 0.209 (0.220) Data 0.044 (0.062) Loss 3.0108 (3.0876) Prec@1 31.250 (33.758) Prec@5 61.328 (59.396)
Epoch: [10][800/5005] Time 0.209 (0.220) Data 0.040 (0.062) Loss 2.9327 (3.0868) Prec@1 37.891 (33.777) Prec@5 62.109 (59.405)
Epoch: [10][810/5005] Time 0.213 (0.220) Data 0.048 (0.062) Loss 3.3387 (3.0875) Prec@1 26.953 (33.768) Prec@5 53.516 (59.392)
Epoch: [10][820/5005] Time 0.205 (0.220) Data 0.046 (0.062) Loss 3.3535 (3.0884) Prec@1 30.078 (33.756) Prec@5 54.297 (59.381)
Epoch: [10][830/5005] Time 0.198 (0.221) Data 0.051 (0.063) Loss 3.1190 (3.0887) Prec@1 36.719 (33.755) Prec@5 59.766 (59.376)
Epoch: [10][840/5005] Time 0.205 (0.220) Data 0.044 (0.063) Loss 2.8818 (3.0887) Prec@1 39.844 (33.750) Prec@5 64.062 (59.375)
Epoch: [10][850/5005] Time 0.582 (0.221) Data 0.491 (0.064) Loss 3.3020 (3.0884) Prec@1 31.641 (33.758) Prec@5 55.859 (59.378)
Epoch: [10][860/5005] Time 0.208 (0.221) Data 0.043 (0.064) Loss 3.0852 (3.0886) Prec@1 34.766 (33.759) Prec@5 59.375 (59.381)
Epoch: [10][870/5005] Time 0.208 (0.221) Data 0.043 (0.064) Loss 3.1364 (3.0873) Prec@1 29.688 (33.770) Prec@5 57.812 (59.399)
Epoch: [10][880/5005] Time 0.208 (0.220) Data 0.041 (0.064) Loss 3.0951 (3.0880) Prec@1 33.984 (33.773) Prec@5 58.594 (59.398)
Epoch: [10][890/5005] Time 0.205 (0.221) Data 0.049 (0.065) Loss 3.3256 (3.0882) Prec@1 28.906 (33.762) Prec@5 54.688 (59.386)
Epoch: [10][900/5005] Time 0.201 (0.221) Data 0.059 (0.064) Loss 3.1123 (3.0872) Prec@1 33.984 (33.766) Prec@5 59.766 (59.404)
Epoch: [10][910/5005] Time 0.201 (0.221) Data 0.044 (0.065) Loss 3.0558 (3.0873) Prec@1 35.938 (33.768) Prec@5 60.938 (59.406)
Epoch: [10][920/5005] Time 0.204 (0.221) Data 0.051 (0.065) Loss 2.9989 (3.0864) Prec@1 34.766 (33.795) Prec@5 63.672 (59.422)
Epoch: [10][930/5005] Time 0.212 (0.221) Data 0.056 (0.065) Loss 3.0054 (3.0864) Prec@1 37.109 (33.795) Prec@5 62.109 (59.423)
Epoch: [10][940/5005] Time 0.209 (0.221) Data 0.048 (0.065) Loss 2.9784 (3.0867) Prec@1 35.547 (33.788) Prec@5 58.984 (59.415)
Epoch: [10][950/5005] Time 0.205 (0.223) Data 0.046 (0.067) Loss 3.3460 (3.0872) Prec@1 29.688 (33.782) Prec@5 54.297 (59.402)
Epoch: [10][960/5005] Time 0.200 (0.223) Data 0.041 (0.067) Loss 3.1410 (3.0875) Prec@1 32.812 (33.783) Prec@5 58.594 (59.396)
Epoch: [10][970/5005] Time 0.195 (0.223) Data 0.117 (0.068) Loss 2.8704 (3.0875) Prec@1 38.281 (33.784) Prec@5 63.672 (59.400)
Epoch: [10][980/5005] Time 0.181 (0.224) Data 0.058 (0.069) Loss 3.0253 (3.0868) Prec@1 35.547 (33.790) Prec@5 58.984 (59.409)
Epoch: [10][990/5005] Time 0.210 (0.223) Data 0.056 (0.069) Loss 3.0507 (3.0870) Prec@1 33.984 (33.775) Prec@5 60.156 (59.394)
Epoch: [10][1000/5005] Time 0.203 (0.223) Data 0.047 (0.068) Loss 3.0246 (3.0865) Prec@1 35.547 (33.779) Prec@5 58.594 (59.396)
Epoch: [10][1010/5005] Time 0.205 (0.223) Data 0.067 (0.068) Loss 2.9482 (3.0857) Prec@1 33.984 (33.794) Prec@5 63.281 (59.404)
Epoch: [10][1020/5005] Time 0.209 (0.223) Data 0.050 (0.068) Loss 3.0421 (3.0862) Prec@1 38.281 (33.798) Prec@5 60.547 (59.391)
Epoch: [10][1030/5005] Time 0.207 (0.223) Data 0.047 (0.068) Loss 3.1222 (3.0858) Prec@1 35.156 (33.802) Prec@5 58.984 (59.402)
Epoch: [10][1040/5005] Time 0.202 (0.223) Data 0.047 (0.068) Loss 3.1209 (3.0856) Prec@1 33.203 (33.803) Prec@5 56.250 (59.396)
Epoch: [10][1050/5005] Time 0.208 (0.222) Data 0.052 (0.068) Loss 3.0987 (3.0858) Prec@1 32.031 (33.798) Prec@5 60.156 (59.376)
Epoch: [10][1060/5005] Time 0.211 (0.222) Data 0.049 (0.067) Loss 3.1872 (3.0866) Prec@1 33.203 (33.787) Prec@5 59.766 (59.367)
Epoch: [10][1070/5005] Time 0.204 (0.222) Data 0.049 (0.067) Loss 3.0225 (3.0866) Prec@1 35.547 (33.786) Prec@5 60.938 (59.361)
Epoch: [10][1080/5005] Time 0.216 (0.222) Data 0.050 (0.067) Loss 3.1366 (3.0864) Prec@1 32.422 (33.798) Prec@5 61.719 (59.367)
Epoch: [10][1090/5005] Time 0.215 (0.222) Data 0.042 (0.067) Loss 2.8910 (3.0860) Prec@1 36.719 (33.803) Prec@5 62.891 (59.380)
Epoch: [10][1100/5005] Time 0.211 (0.222) Data 0.042 (0.067) Loss 2.8554 (3.0853) Prec@1 37.500 (33.809) Prec@5 66.406 (59.390)
Epoch: [10][1110/5005] Time 0.211 (0.222) Data 0.046 (0.066) Loss 3.1933 (3.0851) Prec@1 32.422 (33.811) Prec@5 58.203 (59.388)
Epoch: [10][1120/5005] Time 0.198 (0.222) Data 0.048 (0.066) Loss 3.0078 (3.0844) Prec@1 33.203 (33.807) Prec@5 58.594 (59.408)
Epoch: [10][1130/5005] Time 0.202 (0.222) Data 0.063 (0.066) Loss 3.1015 (3.0849) Prec@1 33.203 (33.798) Prec@5 59.375 (59.396)
Epoch: [10][1140/5005] Time 0.218 (0.221) Data 0.052 (0.066) Loss 3.1273 (3.0846) Prec@1 34.766 (33.816) Prec@5 59.375 (59.401)
Epoch: [10][1150/5005] Time 0.210 (0.221) Data 0.045 (0.066) Loss 3.0498 (3.0840) Prec@1 32.812 (33.821) Prec@5 60.156 (59.410)
Epoch: [10][1160/5005] Time 0.206 (0.221) Data 0.044 (0.066) Loss 3.1253 (3.0840) Prec@1 31.250 (33.829) Prec@5 60.156 (59.410)
Epoch: [10][1170/5005] Time 0.211 (0.221) Data 0.046 (0.066) Loss 3.0234 (3.0837) Prec@1 32.422 (33.822) Prec@5 60.156 (59.413)
Epoch: [10][1180/5005] Time 0.205 (0.221) Data 0.042 (0.065) Loss 3.1026 (3.0834) Prec@1 32.812 (33.825) Prec@5 60.156 (59.411)
Epoch: [10][1190/5005] Time 0.205 (0.221) Data 0.042 (0.065) Loss 2.8802 (3.0832) Prec@1 39.062 (33.824) Prec@5 57.422 (59.415)
Epoch: [10][1200/5005] Time 0.202 (0.221) Data 0.050 (0.065) Loss 3.1104 (3.0835) Prec@1 28.516 (33.818) Prec@5 61.328 (59.402)
Epoch: [10][1210/5005] Time 0.208 (0.221) Data 0.046 (0.065) Loss 3.1215 (3.0838) Prec@1 28.906 (33.810) Prec@5 63.281 (59.404)
Epoch: [10][1220/5005] Time 0.207 (0.221) Data 0.043 (0.065) Loss 3.0835 (3.0843) Prec@1 33.594 (33.800) Prec@5 62.109 (59.405)
Epoch: [10][1230/5005] Time 0.207 (0.221) Data 0.051 (0.065) Loss 3.0279 (3.0843) Prec@1 32.031 (33.792) Prec@5 62.109 (59.393)
Epoch: [10][1240/5005] Time 0.586 (0.221) Data 0.500 (0.066) Loss 3.0738 (3.0843) Prec@1 33.203 (33.793) Prec@5 59.375 (59.388)
Epoch: [10][1250/5005] Time 0.357 (0.221) Data 0.259 (0.066) Loss 3.0797 (3.0845) Prec@1 33.984 (33.786) Prec@5 58.594 (59.376)
Epoch: [10][1260/5005] Time 0.201 (0.221) Data 0.051 (0.066) Loss 2.7991 (3.0840) Prec@1 39.844 (33.794) Prec@5 62.891 (59.394)
Epoch: [10][1270/5005] Time 0.205 (0.221) Data 0.051 (0.066) Loss 3.2481 (3.0844) Prec@1 28.516 (33.780) Prec@5 56.250 (59.395)
Epoch: [10][1280/5005] Time 0.206 (0.221) Data 0.041 (0.066) Loss 3.0425 (3.0850) Prec@1 35.938 (33.772) Prec@5 62.109 (59.387)
Epoch: [10][1290/5005] Time 0.209 (0.221) Data 0.043 (0.066) Loss 2.8496 (3.0846) Prec@1 40.234 (33.778) Prec@5 62.500 (59.391)
Epoch: [10][1300/5005] Time 0.204 (0.221) Data 0.060 (0.066) Loss 3.0406 (3.0844) Prec@1 35.547 (33.787) Prec@5 60.156 (59.395)
Epoch: [10][1310/5005] Time 0.205 (0.221) Data 0.044 (0.066) Loss 3.0422 (3.0841) Prec@1 37.500 (33.781) Prec@5 58.984 (59.404)
Epoch: [10][1320/5005] Time 0.202 (0.221) Data 0.055 (0.066) Loss 3.0123 (3.0837) Prec@1 33.984 (33.788) Prec@5 60.938 (59.418)
Epoch: [10][1330/5005] Time 0.403 (0.221) Data 0.312 (0.067) Loss 3.1533 (3.0843) Prec@1 32.422 (33.778) Prec@5 61.719 (59.411)
Epoch: [10][1340/5005] Time 0.222 (0.221) Data 0.127 (0.067) Loss 3.1024 (3.0840) Prec@1 34.766 (33.787) Prec@5 60.547 (59.422)
Epoch: [10][1350/5005] Time 0.199 (0.221) Data 0.039 (0.067) Loss 3.3587 (3.0841) Prec@1 30.859 (33.778) Prec@5 59.375 (59.422)
Epoch: [10][1360/5005] Time 0.196 (0.221) Data 0.046 (0.067) Loss 2.8581 (3.0839) Prec@1 39.453 (33.786) Prec@5 64.844 (59.431)
Epoch: [10][1370/5005] Time 0.204 (0.221) Data 0.053 (0.067) Loss 3.2009 (3.0834) Prec@1 32.812 (33.797) Prec@5 57.031 (59.439)
Epoch: [10][1380/5005] Time 0.204 (0.221) Data 0.051 (0.067) Loss 3.1723 (3.0831) Prec@1 33.984 (33.807) Prec@5 57.812 (59.449)
Epoch: [10][1390/5005] Time 0.202 (0.221) Data 0.055 (0.067) Loss 3.1808 (3.0830) Prec@1 34.375 (33.807) Prec@5 58.984 (59.454)
Epoch: [10][1400/5005] Time 0.204 (0.221) Data 0.042 (0.068) Loss 3.0787 (3.0821) Prec@1 33.594 (33.813) Prec@5 58.594 (59.466)
Epoch: [10][1410/5005] Time 0.202 (0.221) Data 0.047 (0.068) Loss 3.0742 (3.0817) Prec@1 33.594 (33.825) Prec@5 58.984 (59.482)
Epoch: [10][1420/5005] Time 0.204 (0.221) Data 0.045 (0.068) Loss 3.2821 (3.0816) Prec@1 30.859 (33.827) Prec@5 53.906 (59.483)
Epoch: [10][1430/5005] Time 0.571 (0.222) Data 0.484 (0.068) Loss 2.8853 (3.0812) Prec@1 36.719 (33.836) Prec@5 65.625 (59.496)
Epoch: [10][1440/5005] Time 0.192 (0.222) Data 0.060 (0.069) Loss 2.9267 (3.0811) Prec@1 35.156 (33.833) Prec@5 60.156 (59.493)
Epoch: [10][1450/5005] Time 0.201 (0.222) Data 0.050 (0.068) Loss 3.0955 (3.0810) Prec@1 32.812 (33.833) Prec@5 60.156 (59.491)
Epoch: [10][1460/5005] Time 0.216 (0.222) Data 0.041 (0.068) Loss 3.0226 (3.0811) Prec@1 31.641 (33.839) Prec@5 58.984 (59.497)
Epoch: [10][1470/5005] Time 0.203 (0.222) Data 0.042 (0.068) Loss 3.1824 (3.0813) Prec@1 37.109 (33.837) Prec@5 57.812 (59.492)
Epoch: [10][1480/5005] Time 0.209 (0.222) Data 0.047 (0.068) Loss 2.9431 (3.0816) Prec@1 38.672 (33.838) Prec@5 64.453 (59.490)
Epoch: [10][1490/5005] Time 0.190 (0.222) Data 0.044 (0.068) Loss 3.3130 (3.0813) Prec@1 34.375 (33.849) Prec@5 56.641 (59.500)
Epoch: [10][1500/5005] Time 0.218 (0.221) Data 0.128 (0.068) Loss 3.0392 (3.0811) Prec@1 37.109 (33.848) Prec@5 59.375 (59.509)
Epoch: [10][1510/5005] Time 0.200 (0.222) Data 0.044 (0.068) Loss 2.7485 (3.0808) Prec@1 37.891 (33.850) Prec@5 65.234 (59.508)
Epoch: [10][1520/5005] Time 0.379 (0.222) Data 0.296 (0.068) Loss 3.2023 (3.0806) Prec@1 31.250 (33.850) Prec@5 58.203 (59.508)
Epoch: [10][1530/5005] Time 0.198 (0.222) Data 0.092 (0.069) Loss 3.2871 (3.0808) Prec@1 32.031 (33.856) Prec@5 55.469 (59.504)
Epoch: [10][1540/5005] Time 0.200 (0.222) Data 0.061 (0.069) Loss 3.1711 (3.0812) Prec@1 35.547 (33.856) Prec@5 58.984 (59.497)
Epoch: [10][1550/5005] Time 0.202 (0.222) Data 0.053 (0.069) Loss 3.0348 (3.0809) Prec@1 37.109 (33.863) Prec@5 63.281 (59.498)
Epoch: [10][1560/5005] Time 0.198 (0.222) Data 0.057 (0.069) Loss 2.9664 (3.0811) Prec@1 34.766 (33.862) Prec@5 58.203 (59.495)
Epoch: [10][1570/5005] Time 0.569 (0.222) Data 0.481 (0.069) Loss 2.9010 (3.0806) Prec@1 35.938 (33.868) Prec@5 64.844 (59.503)
Epoch: [10][1580/5005] Time 0.199 (0.222) Data 0.046 (0.069) Loss 2.9773 (3.0810) Prec@1 36.328 (33.859) Prec@5 60.547 (59.493)
Epoch: [10][1590/5005] Time 0.216 (0.222) Data 0.047 (0.069) Loss 2.9600 (3.0807) Prec@1 35.938 (33.865) Prec@5 62.891 (59.497)
Epoch: [10][1600/5005] Time 0.204 (0.222) Data 0.043 (0.069) Loss 3.0907 (3.0808) Prec@1 35.547 (33.862) Prec@5 57.812 (59.491)
Epoch: [10][1610/5005] Time 0.201 (0.222) Data 0.051 (0.069) Loss 3.1378 (3.0809) Prec@1 35.547 (33.864) Prec@5 58.984 (59.492)
Epoch: [10][1620/5005] Time 0.202 (0.222) Data 0.050 (0.070) Loss 3.2886 (3.0807) Prec@1 32.422 (33.865) Prec@5 57.812 (59.494)
Epoch: [10][1630/5005] Time 0.195 (0.223) Data 0.048 (0.070) Loss 3.0851 (3.0807) Prec@1 35.938 (33.867) Prec@5 59.766 (59.494)
Epoch: [10][1640/5005] Time 0.195 (0.222) Data 0.051 (0.070) Loss 3.1642 (3.0810) Prec@1 37.109 (33.873) Prec@5 58.984 (59.494)
Epoch: [10][1650/5005] Time 0.200 (0.222) Data 0.047 (0.070) Loss 3.1100 (3.0811) Prec@1 32.031 (33.879) Prec@5 59.375 (59.495)
Epoch: [10][1660/5005] Time 0.207 (0.222) Data 0.045 (0.070) Loss 2.9278 (3.0806) Prec@1 39.844 (33.897) Prec@5 61.328 (59.506)
Epoch: [10][1670/5005] Time 0.215 (0.222) Data 0.054 (0.070) Loss 2.8439 (3.0807) Prec@1 39.062 (33.899) Prec@5 63.672 (59.506)
Epoch: [10][1680/5005] Time 0.256 (0.222) Data 0.170 (0.070) Loss 3.2551 (3.0809) Prec@1 33.984 (33.896) Prec@5 56.641 (59.507)
Epoch: [10][1690/5005] Time 0.236 (0.222) Data 0.153 (0.070) Loss 3.0394 (3.0806) Prec@1 36.328 (33.898) Prec@5 59.375 (59.511)
Epoch: [10][1700/5005] Time 0.200 (0.222) Data 0.044 (0.070) Loss 2.9055 (3.0802) Prec@1 32.812 (33.901) Prec@5 64.062 (59.519)
Epoch: [10][1710/5005] Time 0.203 (0.222) Data 0.102 (0.070) Loss 2.9287 (3.0798) Prec@1 35.156 (33.904) Prec@5 61.328 (59.521)
Epoch: [10][1720/5005] Time 0.266 (0.222) Data 0.185 (0.070) Loss 3.0744 (3.0798) Prec@1 34.766 (33.904) Prec@5 62.500 (59.519)
Epoch: [10][1730/5005] Time 0.210 (0.222) Data 0.043 (0.070) Loss 3.1193 (3.0800) Prec@1 33.203 (33.898) Prec@5 55.859 (59.516)
Epoch: [10][1740/5005] Time 0.205 (0.222) Data 0.044 (0.070) Loss 3.2739 (3.0798) Prec@1 28.516 (33.896) Prec@5 55.469 (59.522)
Epoch: [10][1750/5005] Time 0.200 (0.223) Data 0.062 (0.071) Loss 3.1119 (3.0795) Prec@1 31.250 (33.896) Prec@5 57.812 (59.527)
Epoch: [10][1760/5005] Time 0.198 (0.223) Data 0.048 (0.071) Loss 2.9182 (3.0793) Prec@1 35.156 (33.906) Prec@5 61.328 (59.528)
Epoch: [10][1770/5005] Time 0.201 (0.223) Data 0.039 (0.071) Loss 3.1222 (3.0791) Prec@1 32.812 (33.906) Prec@5 58.984 (59.528)
Epoch: [10][1780/5005] Time 0.209 (0.223) Data 0.044 (0.071) Loss 3.0058 (3.0789) Prec@1 36.328 (33.904) Prec@5 62.109 (59.528)
Epoch: [10][1790/5005] Time 0.217 (0.223) Data 0.054 (0.071) Loss 2.8631 (3.0785) Prec@1 35.547 (33.912) Prec@5 61.719 (59.534)
Epoch: [10][1800/5005] Time 0.207 (0.222) Data 0.084 (0.071) Loss 2.9256 (3.0779) Prec@1 37.500 (33.925) Prec@5 61.719 (59.545)
Epoch: [10][1810/5005] Time 0.203 (0.223) Data 0.047 (0.071) Loss 2.9793 (3.0778) Prec@1 36.328 (33.924) Prec@5 58.984 (59.543)
Epoch: [10][1820/5005] Time 0.250 (0.222) Data 0.167 (0.071) Loss 3.0456 (3.0778) Prec@1 31.250 (33.923) Prec@5 60.547 (59.544)
Epoch: [10][1830/5005] Time 0.205 (0.222) Data 0.061 (0.071) Loss 2.8871 (3.0772) Prec@1 39.844 (33.933) Prec@5 62.891 (59.550)
Epoch: [10][1840/5005] Time 0.200 (0.222) Data 0.052 (0.071) Loss 3.2122 (3.0770) Prec@1 30.859 (33.937) Prec@5 60.156 (59.555)
Epoch: [10][1850/5005] Time 0.208 (0.222) Data 0.043 (0.071) Loss 3.1709 (3.0770) Prec@1 33.594 (33.943) Prec@5 57.031 (59.554)
Epoch: [10][1860/5005] Time 0.250 (0.223) Data 0.165 (0.071) Loss 2.8834 (3.0771) Prec@1 39.062 (33.945) Prec@5 63.281 (59.555)
Epoch: [10][1870/5005] Time 0.188 (0.223) Data 0.061 (0.071) Loss 3.3523 (3.0775) Prec@1 28.125 (33.939) Prec@5 54.297 (59.549)
Epoch: [10][1880/5005] Time 0.204 (0.223) Data 0.046 (0.071) Loss 3.1013 (3.0775) Prec@1 33.984 (33.941) Prec@5 58.203 (59.545)
Epoch: [10][1890/5005] Time 0.208 (0.223) Data 0.046 (0.071) Loss 3.0932 (3.0775) Prec@1 35.156 (33.946) Prec@5 59.766 (59.547)
Epoch: [10][1900/5005] Time 0.219 (0.223) Data 0.043 (0.072) Loss 3.1176 (3.0781) Prec@1 35.938 (33.947) Prec@5 58.984 (59.543)
Epoch: [10][1910/5005] Time 0.371 (0.223) Data 0.282 (0.072) Loss 3.0332 (3.0784) Prec@1 33.984 (33.941) Prec@5 59.375 (59.536)
Epoch: [10][1920/5005] Time 0.210 (0.223) Data 0.046 (0.072) Loss 3.1407 (3.0781) Prec@1 31.250 (33.940) Prec@5 57.422 (59.544)
Epoch: [10][1930/5005] Time 0.208 (0.223) Data 0.040 (0.072) Loss 2.9972 (3.0780) Prec@1 36.328 (33.945) Prec@5 58.984 (59.548)
Epoch: [10][1940/5005] Time 0.202 (0.223) Data 0.044 (0.072) Loss 2.9698 (3.0776) Prec@1 37.500 (33.948) Prec@5 64.062 (59.563)
Epoch: [10][1950/5005] Time 0.210 (0.223) Data 0.048 (0.072) Loss 3.1660 (3.0777) Prec@1 30.469 (33.946) Prec@5 55.859 (59.559)
Epoch: [10][1960/5005] Time 0.214 (0.222) Data 0.042 (0.072) Loss 2.9768 (3.0772) Prec@1 36.328 (33.952) Prec@5 60.938 (59.568)
Epoch: [10][1970/5005] Time 0.290 (0.222) Data 0.207 (0.072) Loss 2.9807 (3.0774) Prec@1 36.328 (33.947) Prec@5 60.156 (59.566)
Epoch: [10][1980/5005] Time 0.212 (0.223) Data 0.044 (0.072) Loss 2.8382 (3.0773) Prec@1 41.016 (33.950) Prec@5 65.234 (59.572)
Epoch: [10][1990/5005] Time 0.212 (0.222) Data 0.046 (0.072) Loss 2.9338 (3.0772) Prec@1 34.375 (33.950) Prec@5 60.938 (59.574)
Epoch: [10][2000/5005] Time 0.201 (0.223) Data 0.044 (0.072) Loss 2.8574 (3.0773) Prec@1 40.625 (33.956) Prec@5 63.672 (59.571)
Epoch: [10][2010/5005] Time 0.193 (0.222) Data 0.067 (0.072) Loss 3.0619 (3.0777) Prec@1 34.375 (33.944) Prec@5 57.812 (59.563)
Epoch: [10][2020/5005] Time 0.201 (0.223) Data 0.047 (0.072) Loss 2.9007 (3.0777) Prec@1 38.281 (33.948) Prec@5 62.500 (59.562)
Epoch: [10][2030/5005] Time 0.204 (0.223) Data 0.051 (0.072) Loss 2.8810 (3.0776) Prec@1 39.062 (33.946) Prec@5 61.719 (59.560)
Epoch: [10][2040/5005] Time 0.289 (0.223) Data 0.211 (0.072) Loss 2.6953 (3.0775) Prec@1 39.844 (33.946) Prec@5 67.188 (59.561)
Epoch: [10][2050/5005] Time 0.204 (0.223) Data 0.043 (0.072) Loss 3.1105 (3.0772) Prec@1 35.156 (33.953) Prec@5 59.375 (59.567)
Epoch: [10][2060/5005] Time 0.208 (0.223) Data 0.044 (0.072) Loss 3.0374 (3.0773) Prec@1 32.812 (33.952) Prec@5 59.766 (59.564)
Epoch: [10][2070/5005] Time 0.201 (0.223) Data 0.047 (0.072) Loss 3.2865 (3.0775) Prec@1 30.859 (33.946) Prec@5 54.688 (59.562)
Epoch: [10][2080/5005] Time 0.200 (0.223) Data 0.044 (0.072) Loss 3.0896 (3.0775) Prec@1 32.422 (33.949) Prec@5 58.984 (59.560)
Epoch: [10][2090/5005] Time 0.206 (0.223) Data 0.048 (0.072) Loss 2.9515 (3.0769) Prec@1 32.031 (33.955) Prec@5 58.984 (59.570)
Epoch: [10][2100/5005] Time 0.201 (0.223) Data 0.052 (0.072) Loss 3.1819 (3.0768) Prec@1 30.469 (33.954) Prec@5 59.375 (59.571)
Epoch: [10][2110/5005] Time 0.206 (0.223) Data 0.046 (0.072) Loss 2.9438 (3.0767) Prec@1 38.281 (33.959) Prec@5 60.547 (59.569)
Epoch: [10][2120/5005] Time 0.201 (0.223) Data 0.043 (0.072) Loss 3.1630 (3.0768) Prec@1 31.641 (33.955) Prec@5 55.859 (59.568)
Epoch: [10][2130/5005] Time 0.288 (0.223) Data 0.199 (0.073) Loss 3.0696 (3.0763) Prec@1 33.984 (33.964) Prec@5 59.766 (59.576)
Epoch: [10][2140/5005] Time 0.203 (0.223) Data 0.050 (0.072) Loss 3.0013 (3.0764) Prec@1 32.422 (33.967) Prec@5 59.766 (59.577)
Epoch: [10][2150/5005] Time 0.205 (0.223) Data 0.048 (0.072) Loss 2.9710 (3.0763) Prec@1 36.328 (33.967) Prec@5 63.281 (59.577)
Epoch: [10][2160/5005] Time 0.201 (0.223) Data 0.046 (0.072) Loss 2.9238 (3.0763) Prec@1 35.938 (33.966) Prec@5 62.500 (59.577)
Epoch: [10][2170/5005] Time 0.209 (0.223) Data 0.047 (0.072) Loss 3.0618 (3.0762) Prec@1 33.203 (33.971) Prec@5 60.156 (59.580)
Epoch: [10][2180/5005] Time 0.202 (0.223) Data 0.055 (0.072) Loss 3.0942 (3.0761) Prec@1 36.719 (33.977) Prec@5 60.156 (59.582)
Epoch: [10][2190/5005] Time 0.204 (0.223) Data 0.040 (0.073) Loss 3.2479 (3.0761) Prec@1 33.984 (33.980) Prec@5 56.641 (59.583)
Epoch: [10][2200/5005] Time 0.200 (0.223) Data 0.040 (0.073) Loss 3.2584 (3.0764) Prec@1 31.641 (33.972) Prec@5 57.422 (59.579)
Epoch: [10][2210/5005] Time 0.204 (0.223) Data 0.085 (0.073) Loss 3.2271 (3.0767) Prec@1 33.203 (33.964) Prec@5 53.516 (59.576)
Epoch: [10][2220/5005] Time 0.204 (0.223) Data 0.046 (0.073) Loss 3.1765 (3.0767) Prec@1 32.812 (33.962) Prec@5 61.328 (59.577)
Epoch: [10][2230/5005] Time 0.205 (0.223) Data 0.044 (0.073) Loss 3.0905 (3.0765) Prec@1 33.984 (33.962) Prec@5 58.594 (59.583)
Epoch: [10][2240/5005] Time 0.203 (0.223) Data 0.040 (0.073) Loss 3.0541 (3.0766) Prec@1 34.766 (33.958) Prec@5 61.719 (59.586)
Epoch: [10][2250/5005] Time 0.201 (0.223) Data 0.051 (0.073) Loss 2.9815 (3.0766) Prec@1 35.547 (33.955) Prec@5 58.984 (59.584)
Epoch: [10][2260/5005] Time 0.197 (0.223) Data 0.067 (0.073) Loss 2.8879 (3.0763) Prec@1 40.625 (33.964) Prec@5 59.766 (59.588)
Epoch: [10][2270/5005] Time 0.205 (0.223) Data 0.062 (0.073) Loss 3.1416 (3.0760) Prec@1 36.719 (33.976) Prec@5 57.422 (59.596)
Epoch: [10][2280/5005] Time 0.200 (0.223) Data 0.045 (0.073) Loss 3.1079 (3.0760) Prec@1 33.984 (33.978) Prec@5 60.547 (59.597)
Epoch: [10][2290/5005] Time 0.208 (0.223) Data 0.042 (0.073) Loss 2.7382 (3.0756) Prec@1 41.406 (33.978) Prec@5 63.281 (59.601)
Epoch: [10][2300/5005] Time 0.208 (0.223) Data 0.047 (0.073) Loss 2.9663 (3.0757) Prec@1 35.547 (33.979) Prec@5 58.984 (59.598)
Epoch: [10][2310/5005] Time 0.195 (0.223) Data 0.063 (0.073) Loss 2.9169 (3.0756) Prec@1 35.547 (33.983) Prec@5 62.500 (59.600)
Epoch: [10][2320/5005] Time 0.209 (0.223) Data 0.043 (0.073) Loss 3.1392 (3.0754) Prec@1 32.812 (33.986) Prec@5 60.547 (59.603)
Epoch: [10][2330/5005] Time 0.206 (0.223) Data 0.039 (0.073) Loss 3.0316 (3.0752) Prec@1 34.766 (33.989) Prec@5 62.109 (59.604)
Epoch: [10][2340/5005] Time 0.195 (0.223) Data 0.052 (0.073) Loss 3.0865 (3.0750) Prec@1 30.859 (33.989) Prec@5 60.156 (59.608)
Epoch: [10][2350/5005] Time 0.195 (0.223) Data 0.055 (0.073) Loss 2.9959 (3.0750) Prec@1 37.891 (33.992) Prec@5 59.766 (59.608)
Epoch: [10][2360/5005] Time 0.193 (0.223) Data 0.064 (0.073) Loss 2.8241 (3.0749) Prec@1 42.969 (33.995) Prec@5 62.500 (59.610)
Epoch: [10][2370/5005] Time 0.198 (0.223) Data 0.104 (0.074) Loss 3.0670 (3.0749) Prec@1 33.594 (33.995) Prec@5 57.422 (59.611)
Epoch: [10][2380/5005] Time 0.284 (0.223) Data 0.193 (0.074) Loss 3.0968 (3.0747) Prec@1 32.422 (33.996) Prec@5 61.719 (59.613)
Epoch: [10][2390/5005] Time 0.200 (0.223) Data 0.045 (0.074) Loss 3.1153 (3.0745) Prec@1 34.375 (33.999) Prec@5 57.031 (59.617)
Epoch: [10][2400/5005] Time 0.208 (0.223) Data 0.059 (0.074) Loss 3.0719 (3.0746) Prec@1 32.812 (33.995) Prec@5 62.500 (59.617)
Epoch: [10][2410/5005] Time 0.193 (0.223) Data 0.048 (0.074) Loss 3.2020 (3.0748) Prec@1 32.812 (33.997) Prec@5 59.766 (59.614)
Epoch: [10][2420/5005] Time 0.199 (0.223) Data 0.050 (0.074) Loss 3.0996 (3.0747) Prec@1 31.641 (33.998) Prec@5 58.203 (59.616)
Epoch: [10][2430/5005] Time 0.218 (0.223) Data 0.042 (0.074) Loss 2.9074 (3.0747) Prec@1 37.500 (33.999) Prec@5 62.109 (59.620)
Epoch: [10][2440/5005] Time 0.206 (0.223) Data 0.044 (0.074) Loss 2.7070 (3.0746) Prec@1 40.234 (34.004) Prec@5 67.578 (59.625)
Epoch: [10][2450/5005] Time 0.204 (0.223) Data 0.040 (0.074) Loss 2.9330 (3.0745) Prec@1 36.328 (34.004) Prec@5 63.281 (59.624)
Epoch: [10][2460/5005] Time 0.285 (0.223) Data 0.207 (0.074) Loss 3.0441 (3.0744) Prec@1 34.375 (34.010) Prec@5 57.031 (59.621)
Epoch: [10][2470/5005] Time 0.193 (0.223) Data 0.085 (0.074) Loss 3.0201 (3.0743) Prec@1 36.328 (34.010) Prec@5 58.984 (59.626)
Epoch: [10][2480/5005] Time 0.201 (0.223) Data 0.046 (0.074) Loss 3.2362 (3.0745) Prec@1 33.203 (34.013) Prec@5 56.641 (59.624)
Epoch: [10][2490/5005] Time 0.210 (0.223) Data 0.046 (0.074) Loss 2.8487 (3.0745) Prec@1 36.328 (34.012) Prec@5 62.109 (59.621)
Epoch: [10][2500/5005] Time 0.229 (0.223) Data 0.153 (0.074) Loss 3.2403 (3.0744) Prec@1 35.547 (34.012) Prec@5 57.031 (59.622)
Epoch: [10][2510/5005] Time 0.199 (0.223) Data 0.054 (0.074) Loss 3.1674 (3.0744) Prec@1 31.250 (34.007) Prec@5 56.250 (59.620)
Epoch: [10][2520/5005] Time 0.195 (0.223) Data 0.078 (0.074) Loss 2.9482 (3.0743) Prec@1 35.938 (34.012) Prec@5 62.500 (59.620)
Epoch: [10][2530/5005] Time 0.199 (0.223) Data 0.048 (0.075) Loss 3.2650 (3.0743) Prec@1 32.031 (34.011) Prec@5 51.562 (59.616)
Epoch: [10][2540/5005] Time 0.202 (0.223) Data 0.049 (0.074) Loss 3.0328 (3.0742) Prec@1 35.938 (34.017) Prec@5 60.547 (59.617)
Epoch: [10][2550/5005] Time 0.347 (0.223) Data 0.255 (0.075) Loss 3.0451 (3.0741) Prec@1 33.594 (34.018) Prec@5 62.500 (59.618)
Epoch: [10][2560/5005] Time 0.196 (0.223) Data 0.044 (0.075) Loss 3.2972 (3.0744) Prec@1 31.250 (34.017) Prec@5 57.031 (59.615)
Epoch: [10][2570/5005] Time 0.203 (0.223) Data 0.043 (0.075) Loss 3.0136 (3.0745) Prec@1 35.156 (34.016) Prec@5 60.156 (59.616)
Epoch: [10][2580/5005] Time 0.198 (0.223) Data 0.062 (0.075) Loss 3.2200 (3.0749) Prec@1 33.203 (34.011) Prec@5 56.250 (59.611)
Epoch: [10][2590/5005] Time 0.201 (0.223) Data 0.053 (0.075) Loss 3.2276 (3.0746) Prec@1 37.109 (34.019) Prec@5 53.906 (59.610)
Epoch: [10][2600/5005] Time 0.209 (0.223) Data 0.044 (0.075) Loss 3.0017 (3.0746) Prec@1 33.984 (34.017) Prec@5 61.719 (59.610)
Epoch: [10][2610/5005] Time 0.204 (0.223) Data 0.046 (0.075) Loss 3.1780 (3.0745) Prec@1 32.812 (34.018) Prec@5 60.547 (59.614)
Epoch: [10][2620/5005] Time 0.206 (0.223) Data 0.043 (0.075) Loss 2.9375 (3.0744) Prec@1 34.375 (34.019) Prec@5 61.719 (59.616)
Epoch: [10][2630/5005] Time 0.215 (0.223) Data 0.133 (0.075) Loss 3.2792 (3.0747) Prec@1 31.641 (34.017) Prec@5 59.375 (59.608)
Epoch: [10][2640/5005] Time 0.206 (0.223) Data 0.039 (0.075) Loss 3.1795 (3.0746) Prec@1 32.422 (34.019) Prec@5 54.297 (59.604)
Epoch: [10][2650/5005] Time 0.202 (0.223) Data 0.049 (0.075) Loss 3.3185 (3.0746) Prec@1 30.859 (34.021) Prec@5 53.906 (59.604)
Epoch: [10][2660/5005] Time 0.197 (0.223) Data 0.045 (0.075) Loss 3.1874 (3.0747) Prec@1 31.250 (34.022) Prec@5 59.375 (59.601)
Epoch: [10][2670/5005] Time 0.201 (0.223) Data 0.085 (0.075) Loss 2.7182 (3.0743) Prec@1 39.062 (34.028) Prec@5 67.188 (59.607)
Epoch: [10][2680/5005] Time 0.201 (0.223) Data 0.052 (0.075) Loss 2.9334 (3.0742) Prec@1 33.203 (34.024) Prec@5 64.062 (59.610)
Epoch: [10][2690/5005] Time 0.201 (0.223) Data 0.047 (0.075) Loss 2.8172 (3.0740) Prec@1 40.234 (34.031) Prec@5 63.672 (59.611)
Epoch: [10][2700/5005] Time 0.205 (0.223) Data 0.043 (0.075) Loss 2.9617 (3.0741) Prec@1 35.156 (34.028) Prec@5 62.109 (59.610)
Epoch: [10][2710/5005] Time 0.205 (0.223) Data 0.054 (0.075) Loss 2.9471 (3.0741) Prec@1 36.719 (34.023) Prec@5 62.500 (59.605)
Epoch: [10][2720/5005] Time 0.206 (0.223) Data 0.043 (0.075) Loss 2.9922 (3.0741) Prec@1 36.328 (34.022) Prec@5 61.719 (59.607)
Epoch: [10][2730/5005] Time 0.194 (0.223) Data 0.060 (0.075) Loss 3.0891 (3.0739) Prec@1 31.641 (34.023) Prec@5 59.375 (59.609)
Epoch: [10][2740/5005] Time 0.201 (0.223) Data 0.046 (0.075) Loss 3.0020 (3.0738) Prec@1 34.766 (34.026) Prec@5 62.109 (59.609)
Epoch: [10][2750/5005] Time 0.203 (0.223) Data 0.062 (0.075) Loss 3.0773 (3.0737) Prec@1 33.203 (34.032) Prec@5 56.641 (59.611)
Epoch: [10][2760/5005] Time 0.204 (0.223) Data 0.045 (0.075) Loss 3.0362 (3.0735) Prec@1 38.281 (34.033) Prec@5 62.500 (59.615)
Epoch: [10][2770/5005] Time 0.939 (0.223) Data 0.857 (0.075) Loss 2.9841 (3.0737) Prec@1 34.375 (34.031) Prec@5 58.984 (59.610)
Epoch: [10][2780/5005] Time 0.295 (0.223) Data 0.218 (0.075) Loss 3.3134 (3.0737) Prec@1 34.766 (34.037) Prec@5 57.031 (59.617)
Epoch: [10][2790/5005] Time 0.198 (0.223) Data 0.042 (0.075) Loss 3.3576 (3.0738) Prec@1 26.953 (34.036) Prec@5 55.469 (59.611)
Epoch: [10][2800/5005] Time 0.205 (0.223) Data 0.041 (0.075) Loss 2.8310 (3.0736) Prec@1 36.719 (34.041) Prec@5 63.672 (59.615)
Epoch: [10][2810/5005] Time 0.499 (0.223) Data 0.417 (0.075) Loss 3.2902 (3.0735) Prec@1 31.641 (34.046) Prec@5 55.859 (59.617)
Epoch: [10][2820/5005] Time 0.220 (0.223) Data 0.140 (0.075) Loss 2.8073 (3.0735) Prec@1 35.547 (34.044) Prec@5 65.625 (59.618)
Epoch: [10][2830/5005] Time 0.410 (0.223) Data 0.318 (0.075) Loss 3.3381 (3.0736) Prec@1 30.469 (34.038) Prec@5 55.859 (59.616)
Epoch: [10][2840/5005] Time 0.210 (0.223) Data 0.041 (0.076) Loss 3.1941 (3.0735) Prec@1 33.984 (34.040) Prec@5 57.031 (59.617)
Epoch: [10][2850/5005] Time 0.190 (0.223) Data 0.114 (0.076) Loss 3.1189 (3.0733) Prec@1 35.938 (34.045) Prec@5 57.422 (59.624)
Epoch: [10][2860/5005] Time 0.206 (0.223) Data 0.044 (0.076) Loss 2.9898 (3.0734) Prec@1 36.328 (34.043) Prec@5 57.812 (59.621)
Epoch: [10][2870/5005] Time 0.204 (0.223) Data 0.047 (0.075) Loss 3.0647 (3.0729) Prec@1 33.594 (34.054) Prec@5 57.422 (59.630)
Epoch: [10][2880/5005] Time 0.218 (0.223) Data 0.134 (0.076) Loss 3.1068 (3.0729) Prec@1 31.250 (34.056) Prec@5 56.641 (59.630)
Epoch: [10][2890/5005] Time 0.202 (0.223) Data 0.046 (0.076) Loss 3.2430 (3.0728) Prec@1 30.859 (34.062) Prec@5 55.469 (59.635)
Epoch: [10][2900/5005] Time 0.204 (0.223) Data 0.045 (0.076) Loss 2.8253 (3.0725) Prec@1 37.500 (34.065) Prec@5 63.281 (59.643)
Epoch: [10][2910/5005] Time 0.194 (0.223) Data 0.043 (0.076) Loss 3.1514 (3.0726) Prec@1 30.859 (34.067) Prec@5 59.375 (59.644)
Epoch: [10][2920/5005] Time 0.201 (0.223) Data 0.047 (0.076) Loss 3.1493 (3.0727) Prec@1 28.125 (34.065) Prec@5 59.766 (59.643)
Epoch: [10][2930/5005] Time 0.196 (0.223) Data 0.047 (0.076) Loss 3.3654 (3.0729) Prec@1 27.734 (34.063) Prec@5 52.734 (59.640)
Epoch: [10][2940/5005] Time 0.228 (0.223) Data 0.142 (0.076) Loss 3.1337 (3.0727) Prec@1 32.422 (34.067) Prec@5 60.156 (59.646)
Epoch: [10][2950/5005] Time 0.199 (0.223) Data 0.049 (0.076) Loss 3.2517 (3.0725) Prec@1 30.859 (34.068) Prec@5 56.250 (59.651)
Epoch: [10][2960/5005] Time 0.201 (0.223) Data 0.065 (0.076) Loss 3.1408 (3.0724) Prec@1 35.938 (34.069) Prec@5 57.031 (59.651)
Epoch: [10][2970/5005] Time 0.438 (0.223) Data 0.355 (0.076) Loss 3.1847 (3.0724) Prec@1 30.859 (34.065) Prec@5 59.766 (59.652)
Epoch: [10][2980/5005] Time 0.195 (0.223) Data 0.051 (0.076) Loss 3.2134 (3.0726) Prec@1 29.688 (34.061) Prec@5 57.031 (59.649)
Epoch: [10][2990/5005] Time 0.194 (0.223) Data 0.051 (0.076) Loss 3.0379 (3.0727) Prec@1 33.984 (34.059) Prec@5 60.938 (59.645)
Epoch: [10][3000/5005] Time 0.209 (0.223) Data 0.041 (0.076) Loss 3.0708 (3.0725) Prec@1 35.938 (34.060) Prec@5 60.938 (59.650)
Epoch: [10][3010/5005] Time 0.209 (0.223) Data 0.040 (0.076) Loss 3.0569 (3.0726) Prec@1 36.328 (34.061) Prec@5 61.328 (59.650)
Epoch: [10][3020/5005] Time 0.208 (0.223) Data 0.047 (0.076) Loss 3.0162 (3.0729) Prec@1 33.594 (34.059) Prec@5 62.109 (59.644)
Epoch: [10][3030/5005] Time 0.206 (0.223) Data 0.040 (0.076) Loss 3.0300 (3.0730) Prec@1 36.328 (34.057) Prec@5 62.891 (59.644)
Epoch: [10][3040/5005] Time 0.202 (0.223) Data 0.046 (0.076) Loss 2.8797 (3.0729) Prec@1 37.891 (34.061) Prec@5 63.672 (59.646)
Epoch: [10][3050/5005] Time 0.380 (0.223) Data 0.298 (0.076) Loss 2.9816 (3.0729) Prec@1 31.641 (34.060) Prec@5 60.938 (59.646)
Epoch: [10][3060/5005] Time 0.312 (0.223) Data 0.225 (0.076) Loss 2.9084 (3.0726) Prec@1 39.062 (34.063) Prec@5 62.500 (59.648)
Epoch: [10][3070/5005] Time 0.193 (0.223) Data 0.094 (0.076) Loss 3.1567 (3.0727) Prec@1 30.859 (34.063) Prec@5 57.812 (59.646)
Epoch: [10][3080/5005] Time 0.211 (0.223) Data 0.051 (0.076) Loss 3.0100 (3.0728) Prec@1 33.984 (34.055) Prec@5 57.031 (59.640)
Epoch: [10][3090/5005] Time 0.199 (0.223) Data 0.047 (0.076) Loss 3.4332 (3.0729) Prec@1 26.953 (34.053) Prec@5 57.812 (59.642)
Epoch: [10][3100/5005] Time 0.193 (0.223) Data 0.054 (0.076) Loss 3.1082 (3.0730) Prec@1 35.547 (34.050) Prec@5 59.766 (59.643)
Epoch: [10][3110/5005] Time 0.198 (0.223) Data 0.052 (0.076) Loss 2.8466 (3.0729) Prec@1 35.938 (34.052) Prec@5 64.062 (59.649)
Epoch: [10][3120/5005] Time 0.194 (0.223) Data 0.113 (0.076) Loss 3.0816 (3.0729) Prec@1 33.203 (34.054) Prec@5 60.547 (59.644)
Epoch: [10][3130/5005] Time 0.203 (0.223) Data 0.053 (0.076) Loss 3.1508 (3.0727) Prec@1 29.688 (34.058) Prec@5 59.766 (59.647)
Epoch: [10][3140/5005] Time 0.209 (0.223) Data 0.046 (0.076) Loss 2.8391 (3.0725) Prec@1 38.672 (34.059) Prec@5 62.109 (59.652)
Epoch: [10][3150/5005] Time 0.202 (0.223) Data 0.039 (0.076) Loss 3.0319 (3.0724) Prec@1 37.109 (34.059) Prec@5 61.719 (59.653)
Epoch: [10][3160/5005] Time 0.196 (0.223) Data 0.044 (0.076) Loss 2.8360 (3.0724) Prec@1 40.234 (34.062) Prec@5 63.672 (59.657)
Epoch: [10][3170/5005] Time 0.209 (0.223) Data 0.043 (0.076) Loss 3.0467 (3.0725) Prec@1 35.156 (34.062) Prec@5 61.719 (59.657)
Epoch: [10][3180/5005] Time 0.204 (0.223) Data 0.040 (0.076) Loss 2.9780 (3.0725) Prec@1 35.938 (34.062) Prec@5 61.719 (59.656)
Epoch: [10][3190/5005] Time 0.203 (0.223) Data 0.042 (0.076) Loss 3.0817 (3.0727) Prec@1 36.328 (34.060) Prec@5 57.422 (59.654)
Epoch: [10][3200/5005] Time 0.203 (0.223) Data 0.061 (0.076) Loss 3.1023 (3.0727) Prec@1 34.766 (34.061) Prec@5 60.938 (59.656)
Epoch: [10][3210/5005] Time 0.207 (0.223) Data 0.044 (0.076) Loss 3.0627 (3.0726) Prec@1 33.203 (34.061) Prec@5 61.328 (59.661)
Epoch: [10][3220/5005] Time 0.205 (0.223) Data 0.045 (0.076) Loss 3.0241 (3.0726) Prec@1 37.891 (34.066) Prec@5 60.938 (59.665)
Epoch: [10][3230/5005] Time 0.200 (0.223) Data 0.053 (0.076) Loss 2.9667 (3.0724) Prec@1 32.422 (34.066) Prec@5 62.891 (59.671)
Epoch: [10][3240/5005] Time 0.204 (0.223) Data 0.043 (0.076) Loss 3.4761 (3.0727) Prec@1 25.391 (34.060) Prec@5 55.078 (59.666)
Epoch: [10][3250/5005] Time 0.198 (0.223) Data 0.046 (0.076) Loss 3.1247 (3.0728) Prec@1 32.812 (34.059) Prec@5 62.500 (59.667)
Epoch: [10][3260/5005] Time 0.200 (0.223) Data 0.050 (0.076) Loss 2.8670 (3.0728) Prec@1 39.453 (34.061) Prec@5 60.156 (59.665)
Epoch: [10][3270/5005] Time 0.369 (0.223) Data 0.284 (0.076) Loss 3.2079 (3.0728) Prec@1 32.422 (34.060) Prec@5 60.938 (59.666)
Epoch: [10][3280/5005] Time 0.199 (0.223) Data 0.045 (0.076) Loss 3.0213 (3.0728) Prec@1 35.547 (34.058) Prec@5 60.156 (59.662)
Epoch: [10][3290/5005] Time 0.204 (0.223) Data 0.043 (0.076) Loss 3.1293 (3.0728) Prec@1 35.547 (34.057) Prec@5 57.031 (59.660)
Epoch: [10][3300/5005] Time 0.207 (0.223) Data 0.045 (0.076) Loss 3.0280 (3.0728) Prec@1 33.984 (34.055) Prec@5 60.156 (59.659)
Epoch: [10][3310/5005] Time 0.201 (0.223) Data 0.044 (0.076) Loss 3.0632 (3.0728) Prec@1 35.938 (34.057) Prec@5 56.641 (59.660)
Epoch: [10][3320/5005] Time 0.203 (0.223) Data 0.066 (0.076) Loss 3.1003 (3.0727) Prec@1 36.719 (34.058) Prec@5 59.766 (59.662)
Epoch: [10][3330/5005] Time 0.202 (0.223) Data 0.041 (0.076) Loss 3.2473 (3.0728) Prec@1 33.203 (34.058) Prec@5 53.906 (59.664)
Epoch: [10][3340/5005] Time 0.204 (0.223) Data 0.045 (0.076) Loss 3.0041 (3.0727) Prec@1 38.672 (34.061) Prec@5 61.328 (59.666)
Epoch: [10][3350/5005] Time 0.206 (0.223) Data 0.042 (0.076) Loss 3.2060 (3.0727) Prec@1 30.078 (34.058) Prec@5 54.297 (59.667)
Epoch: [10][3360/5005] Time 0.205 (0.223) Data 0.041 (0.076) Loss 3.0291 (3.0728) Prec@1 38.672 (34.061) Prec@5 64.062 (59.668)
Epoch: [10][3370/5005] Time 0.516 (0.223) Data 0.424 (0.076) Loss 3.0538 (3.0727) Prec@1 30.469 (34.063) Prec@5 58.594 (59.666)
Epoch: [10][3380/5005] Time 0.198 (0.223) Data 0.044 (0.076) Loss 2.8874 (3.0725) Prec@1 38.672 (34.067) Prec@5 63.672 (59.668)
Epoch: [10][3390/5005] Time 0.208 (0.223) Data 0.045 (0.076) Loss 3.0249 (3.0726) Prec@1 38.281 (34.065) Prec@5 62.109 (59.663)
Epoch: [10][3400/5005] Time 0.194 (0.223) Data 0.052 (0.076) Loss 2.8861 (3.0727) Prec@1 36.719 (34.065) Prec@5 64.062 (59.664)
Epoch: [10][3410/5005] Time 0.212 (0.223) Data 0.044 (0.076) Loss 3.0407 (3.0725) Prec@1 33.203 (34.067) Prec@5 60.938 (59.665)
Epoch: [10][3420/5005] Time 0.197 (0.223) Data 0.048 (0.076) Loss 3.0743 (3.0724) Prec@1 33.203 (34.065) Prec@5 58.984 (59.667)
Epoch: [10][3430/5005] Time 0.202 (0.223) Data 0.042 (0.076) Loss 2.9512 (3.0725) Prec@1 32.812 (34.064) Prec@5 60.547 (59.662)
Epoch: [10][3440/5005] Time 0.212 (0.224) Data 0.048 (0.076) Loss 3.2380 (3.0725) Prec@1 29.688 (34.061) Prec@5 51.953 (59.662)
Epoch: [10][3450/5005] Time 0.200 (0.224) Data 0.058 (0.076) Loss 2.8242 (3.0724) Prec@1 39.453 (34.066) Prec@5 63.281 (59.665)
Epoch: [10][3460/5005] Time 0.277 (0.224) Data 0.183 (0.076) Loss 2.9933 (3.0723) Prec@1 34.375 (34.068) Prec@5 62.500 (59.667)
Epoch: [10][3470/5005] Time 0.209 (0.224) Data 0.045 (0.076) Loss 2.8551 (3.0722) Prec@1 41.016 (34.071) Prec@5 64.453 (59.668)
Epoch: [10][3480/5005] Time 0.207 (0.223) Data 0.042 (0.076) Loss 2.9417 (3.0719) Prec@1 38.672 (34.077) Prec@5 60.156 (59.672)
Epoch: [10][3490/5005] Time 0.215 (0.223) Data 0.041 (0.076) Loss 3.0885 (3.0720) Prec@1 33.594 (34.075) Prec@5 60.156 (59.670)
Epoch: [10][3500/5005] Time 0.206 (0.223) Data 0.042 (0.076) Loss 2.9071 (3.0721) Prec@1 35.547 (34.073) Prec@5 64.453 (59.670)
Epoch: [10][3510/5005] Time 0.213 (0.223) Data 0.043 (0.076) Loss 2.9485 (3.0720) Prec@1 33.203 (34.074) Prec@5 60.156 (59.672)
Epoch: [10][3520/5005] Time 0.201 (0.223) Data 0.107 (0.076) Loss 3.2362 (3.0720) Prec@1 33.594 (34.074) Prec@5 58.594 (59.671)
Epoch: [10][3530/5005] Time 0.197 (0.223) Data 0.053 (0.076) Loss 3.0786 (3.0718) Prec@1 34.375 (34.081) Prec@5 60.547 (59.675)
Epoch: [10][3540/5005] Time 0.202 (0.223) Data 0.049 (0.076) Loss 2.9985 (3.0716) Prec@1 35.938 (34.082) Prec@5 62.891 (59.679)
Epoch: [10][3550/5005] Time 0.203 (0.224) Data 0.043 (0.076) Loss 2.9977 (3.0714) Prec@1 31.641 (34.082) Prec@5 62.109 (59.682)
Epoch: [10][3560/5005] Time 0.205 (0.223) Data 0.043 (0.076) Loss 2.9722 (3.0712) Prec@1 34.375 (34.085) Prec@5 60.938 (59.683)
Epoch: [10][3570/5005] Time 0.280 (0.223) Data 0.197 (0.076) Loss 3.1209 (3.0712) Prec@1 32.031 (34.086) Prec@5 63.281 (59.683)
Epoch: [10][3580/5005] Time 0.266 (0.223) Data 0.179 (0.076) Loss 3.0464 (3.0712) Prec@1 30.859 (34.086) Prec@5 57.812 (59.681)
Epoch: [10][3590/5005] Time 0.342 (0.224) Data 0.260 (0.076) Loss 3.0487 (3.0709) Prec@1 36.328 (34.091) Prec@5 57.812 (59.684)
Epoch: [10][3600/5005] Time 0.196 (0.224) Data 0.052 (0.076) Loss 3.1269 (3.0708) Prec@1 38.672 (34.093) Prec@5 58.984 (59.686)
Epoch: [10][3610/5005] Time 0.211 (0.224) Data 0.042 (0.076) Loss 2.9475 (3.0708) Prec@1 41.016 (34.092) Prec@5 61.328 (59.684)
Epoch: [10][3620/5005] Time 0.196 (0.224) Data 0.101 (0.076) Loss 3.0197 (3.0705) Prec@1 32.031 (34.097) Prec@5 58.984 (59.688)
Epoch: [10][3630/5005] Time 0.196 (0.224) Data 0.054 (0.076) Loss 3.5180 (3.0705) Prec@1 29.297 (34.095) Prec@5 52.344 (59.689)
Epoch: [10][3640/5005] Time 0.210 (0.224) Data 0.043 (0.076) Loss 3.0858 (3.0705) Prec@1 32.031 (34.098) Prec@5 60.938 (59.689)
Epoch: [10][3650/5005] Time 0.209 (0.224) Data 0.043 (0.076) Loss 2.9680 (3.0705) Prec@1 34.375 (34.098) Prec@5 63.281 (59.690)
Epoch: [10][3660/5005] Time 0.196 (0.224) Data 0.095 (0.076) Loss 3.2144 (3.0703) Prec@1 31.641 (34.103) Prec@5 55.469 (59.694)
Epoch: [10][3670/5005] Time 0.201 (0.224) Data 0.050 (0.076) Loss 3.2237 (3.0704) Prec@1 34.766 (34.102) Prec@5 59.766 (59.695)
Epoch: [10][3680/5005] Time 0.198 (0.224) Data 0.041 (0.076) Loss 2.9922 (3.0705) Prec@1 31.250 (34.101) Prec@5 60.938 (59.692)
Epoch: [10][3690/5005] Time 0.193 (0.224) Data 0.095 (0.077) Loss 2.9793 (3.0705) Prec@1 33.984 (34.100) Prec@5 60.156 (59.693)
Epoch: [10][3700/5005] Time 0.243 (0.224) Data 0.161 (0.077) Loss 3.1334 (3.0705) Prec@1 33.203 (34.099) Prec@5 58.594 (59.693)
Epoch: [10][3710/5005] Time 0.200 (0.224) Data 0.049 (0.077) Loss 3.0042 (3.0706) Prec@1 34.375 (34.095) Prec@5 61.719 (59.690)
Epoch: [10][3720/5005] Time 0.200 (0.224) Data 0.039 (0.077) Loss 3.2313 (3.0706) Prec@1 35.156 (34.098) Prec@5 56.250 (59.688)
Epoch: [10][3730/5005] Time 0.207 (0.224) Data 0.041 (0.077) Loss 2.9206 (3.0705) Prec@1 37.500 (34.100) Prec@5 61.719 (59.686)
Epoch: [10][3740/5005] Time 0.199 (0.224) Data 0.040 (0.077) Loss 3.0845 (3.0703) Prec@1 32.031 (34.099) Prec@5 61.328 (59.689)
Epoch: [10][3750/5005] Time 0.239 (0.224) Data 0.153 (0.077) Loss 2.9814 (3.0704) Prec@1 33.203 (34.097) Prec@5 62.891 (59.687)
Epoch: [10][3760/5005] Time 0.304 (0.224) Data 0.215 (0.077) Loss 3.0896 (3.0705) Prec@1 34.375 (34.095) Prec@5 55.469 (59.685)
Epoch: [10][3770/5005] Time 0.411 (0.224) Data 0.330 (0.077) Loss 3.1937 (3.0704) Prec@1 35.156 (34.097) Prec@5 55.078 (59.687)
Epoch: [10][3780/5005] Time 0.213 (0.224) Data 0.041 (0.077) Loss 3.2038 (3.0703) Prec@1 32.031 (34.100) Prec@5 58.594 (59.687)
Epoch: [10][3790/5005] Time 0.372 (0.224) Data 0.289 (0.077) Loss 3.1771 (3.0704) Prec@1 32.812 (34.098) Prec@5 57.812 (59.686)
Epoch: [10][3800/5005] Time 0.201 (0.224) Data 0.061 (0.077) Loss 2.9391 (3.0705) Prec@1 39.062 (34.098) Prec@5 61.328 (59.683)
Epoch: [10][3810/5005] Time 0.430 (0.224) Data 0.344 (0.077) Loss 3.0897 (3.0706) Prec@1 30.469 (34.097) Prec@5 59.375 (59.682)
Epoch: [10][3820/5005] Time 0.204 (0.224) Data 0.044 (0.077) Loss 3.0039 (3.0705) Prec@1 37.891 (34.098) Prec@5 64.844 (59.685)
Epoch: [10][3830/5005] Time 0.202 (0.224) Data 0.043 (0.077) Loss 3.1332 (3.0704) Prec@1 34.375 (34.100) Prec@5 58.594 (59.685)
Epoch: [10][3840/5005] Time 0.198 (0.224) Data 0.053 (0.077) Loss 3.4519 (3.0704) Prec@1 25.391 (34.099) Prec@5 51.953 (59.686)
Epoch: [10][3850/5005] Time 0.218 (0.224) Data 0.065 (0.077) Loss 3.0348 (3.0704) Prec@1 33.594 (34.099) Prec@5 60.156 (59.687)
Epoch: [10][3860/5005] Time 0.199 (0.224) Data 0.046 (0.077) Loss 2.8322 (3.0705) Prec@1 38.672 (34.103) Prec@5 62.891 (59.687)
Epoch: [10][3870/5005] Time 0.214 (0.224) Data 0.044 (0.077) Loss 3.1252 (3.0706) Prec@1 31.250 (34.100) Prec@5 57.031 (59.683)
Epoch: [10][3880/5005] Time 0.200 (0.224) Data 0.048 (0.077) Loss 3.0150 (3.0707) Prec@1 36.328 (34.099) Prec@5 61.328 (59.680)
Epoch: [10][3890/5005] Time 0.206 (0.224) Data 0.048 (0.077) Loss 3.1685 (3.0707) Prec@1 29.297 (34.100) Prec@5 61.719 (59.679)
Epoch: [10][3900/5005] Time 0.212 (0.224) Data 0.042 (0.077) Loss 3.3673 (3.0708) Prec@1 25.781 (34.097) Prec@5 54.297 (59.679)
Epoch: [10][3910/5005] Time 0.267 (0.224) Data 0.172 (0.077) Loss 3.1118 (3.0707) Prec@1 32.812 (34.099) Prec@5 58.984 (59.681)
Epoch: [10][3920/5005] Time 0.198 (0.224) Data 0.048 (0.077) Loss 3.0718 (3.0707) Prec@1 36.719 (34.103) Prec@5 61.719 (59.681)
Epoch: [10][3930/5005] Time 0.200 (0.224) Data 0.039 (0.077) Loss 2.9835 (3.0704) Prec@1 37.109 (34.106) Prec@5 58.203 (59.685)
Epoch: [10][3940/5005] Time 0.198 (0.224) Data 0.044 (0.077) Loss 3.0212 (3.0705) Prec@1 41.016 (34.108) Prec@5 59.375 (59.684)
Epoch: [10][3950/5005] Time 0.204 (0.224) Data 0.042 (0.077) Loss 3.0198 (3.0703) Prec@1 34.375 (34.112) Prec@5 62.891 (59.689)
Epoch: [10][3960/5005] Time 0.210 (0.224) Data 0.049 (0.077) Loss 2.8082 (3.0702) Prec@1 40.234 (34.112) Prec@5 63.281 (59.688)
Epoch: [10][3970/5005] Time 0.201 (0.224) Data 0.051 (0.077) Loss 3.1425 (3.0702) Prec@1 31.250 (34.108) Prec@5 58.203 (59.687)
Epoch: [10][3980/5005] Time 0.206 (0.224) Data 0.050 (0.077) Loss 2.8325 (3.0701) Prec@1 33.984 (34.109) Prec@5 64.062 (59.692)
Epoch: [10][3990/5005] Time 0.372 (0.224) Data 0.283 (0.077) Loss 3.2079 (3.0703) Prec@1 32.422 (34.104) Prec@5 58.594 (59.690)
Epoch: [10][4000/5005] Time 0.210 (0.224) Data 0.047 (0.077) Loss 3.0216 (3.0703) Prec@1 36.719 (34.102) Prec@5 57.031 (59.688)
Epoch: [10][4010/5005] Time 0.201 (0.224) Data 0.048 (0.077) Loss 3.1507 (3.0702) Prec@1 33.203 (34.101) Prec@5 58.984 (59.689)
Epoch: [10][4020/5005] Time 0.204 (0.224) Data 0.040 (0.077) Loss 3.2279 (3.0702) Prec@1 37.109 (34.101) Prec@5 58.203 (59.690)
Epoch: [10][4030/5005] Time 0.550 (0.224) Data 0.472 (0.077) Loss 3.3819 (3.0704) Prec@1 33.984 (34.099) Prec@5 56.641 (59.686)
Epoch: [10][4040/5005] Time 0.265 (0.224) Data 0.181 (0.077) Loss 3.1010 (3.0706) Prec@1 36.328 (34.098) Prec@5 57.031 (59.685)
Epoch: [10][4050/5005] Time 0.202 (0.224) Data 0.044 (0.077) Loss 3.2161 (3.0705) Prec@1 31.250 (34.100) Prec@5 56.250 (59.684)
Epoch: [10][4060/5005] Time 0.204 (0.224) Data 0.043 (0.077) Loss 2.9935 (3.0704) Prec@1 33.984 (34.098) Prec@5 56.641 (59.685)
Epoch: [10][4070/5005] Time 0.204 (0.224) Data 0.092 (0.077) Loss 3.1449 (3.0704) Prec@1 35.938 (34.098) Prec@5 60.547 (59.685)
Epoch: [10][4080/5005] Time 0.206 (0.224) Data 0.057 (0.077) Loss 3.0868 (3.0705) Prec@1 33.203 (34.099) Prec@5 60.156 (59.683)
Epoch: [10][4090/5005] Time 0.193 (0.224) Data 0.053 (0.077) Loss 2.9370 (3.0704) Prec@1 37.891 (34.099) Prec@5 62.500 (59.683)
Epoch: [10][4100/5005] Time 0.203 (0.224) Data 0.107 (0.077) Loss 3.0037 (3.0704) Prec@1 32.812 (34.099) Prec@5 63.672 (59.684)
Epoch: [10][4110/5005] Time 0.421 (0.224) Data 0.332 (0.077) Loss 3.2555 (3.0705) Prec@1 29.688 (34.097) Prec@5 58.984 (59.681)
Epoch: [10][4120/5005] Time 0.196 (0.224) Data 0.064 (0.077) Loss 3.1986 (3.0703) Prec@1 29.688 (34.097) Prec@5 57.031 (59.682)
Epoch: [10][4130/5005] Time 0.198 (0.224) Data 0.050 (0.077) Loss 3.1864 (3.0703) Prec@1 34.375 (34.096) Prec@5 53.516 (59.680)
Epoch: [10][4140/5005] Time 0.201 (0.224) Data 0.051 (0.078) Loss 3.0492 (3.0702) Prec@1 33.984 (34.096) Prec@5 57.812 (59.683)
Epoch: [10][4150/5005] Time 0.201 (0.224) Data 0.043 (0.077) Loss 3.3320 (3.0703) Prec@1 30.469 (34.093) Prec@5 54.688 (59.683)
Epoch: [10][4160/5005] Time 0.222 (0.224) Data 0.134 (0.077) Loss 3.0118 (3.0703) Prec@1 32.031 (34.092) Prec@5 59.375 (59.682)
Epoch: [10][4170/5005] Time 0.834 (0.224) Data 0.749 (0.078) Loss 3.0156 (3.0702) Prec@1 30.078 (34.092) Prec@5 58.203 (59.686)
Epoch: [10][4180/5005] Time 0.197 (0.224) Data 0.044 (0.078) Loss 3.0566 (3.0701) Prec@1 36.719 (34.094) Prec@5 60.547 (59.687)
Epoch: [10][4190/5005] Time 0.202 (0.224) Data 0.039 (0.077) Loss 3.0737 (3.0701) Prec@1 33.984 (34.093) Prec@5 59.766 (59.685)
Epoch: [10][4200/5005] Time 0.207 (0.224) Data 0.042 (0.078) Loss 2.9155 (3.0701) Prec@1 38.672 (34.093) Prec@5 57.422 (59.684)
Epoch: [10][4210/5005] Time 0.219 (0.224) Data 0.136 (0.078) Loss 2.8988 (3.0700) Prec@1 33.594 (34.096) Prec@5 58.984 (59.686)
Epoch: [10][4220/5005] Time 0.209 (0.224) Data 0.042 (0.078) Loss 3.2993 (3.0702) Prec@1 29.297 (34.095) Prec@5 55.469 (59.680)
Epoch: [10][4230/5005] Time 0.202 (0.224) Data 0.064 (0.078) Loss 2.9901 (3.0702) Prec@1 36.328 (34.094) Prec@5 60.156 (59.681)
Epoch: [10][4240/5005] Time 0.201 (0.224) Data 0.088 (0.078) Loss 2.9406 (3.0703) Prec@1 36.328 (34.093) Prec@5 58.203 (59.677)
Epoch: [10][4250/5005] Time 0.208 (0.224) Data 0.047 (0.078) Loss 3.0103 (3.0701) Prec@1 36.328 (34.095) Prec@5 58.203 (59.679)
Epoch: [10][4260/5005] Time 0.197 (0.224) Data 0.043 (0.078) Loss 3.1087 (3.0702) Prec@1 30.078 (34.095) Prec@5 56.641 (59.677)
Epoch: [10][4270/5005] Time 0.201 (0.224) Data 0.039 (0.078) Loss 3.3214 (3.0703) Prec@1 31.250 (34.095) Prec@5 55.859 (59.677)
Epoch: [10][4280/5005] Time 0.199 (0.224) Data 0.046 (0.078) Loss 3.2197 (3.0704) Prec@1 32.031 (34.093) Prec@5 58.203 (59.676)
Epoch: [10][4290/5005] Time 0.497 (0.224) Data 0.410 (0.078) Loss 3.3067 (3.0704) Prec@1 31.641 (34.091) Prec@5 57.422 (59.676)
Epoch: [10][4300/5005] Time 0.203 (0.224) Data 0.047 (0.078) Loss 2.9132 (3.0703) Prec@1 39.453 (34.092) Prec@5 62.500 (59.679)
Epoch: [10][4310/5005] Time 0.197 (0.224) Data 0.049 (0.078) Loss 2.9700 (3.0703) Prec@1 35.547 (34.094) Prec@5 61.328 (59.679)
Epoch: [10][4320/5005] Time 0.208 (0.224) Data 0.044 (0.078) Loss 3.2000 (3.0703) Prec@1 32.031 (34.097) Prec@5 57.422 (59.678)
Epoch: [10][4330/5005] Time 0.205 (0.224) Data 0.051 (0.078) Loss 2.9450 (3.0703) Prec@1 35.547 (34.098) Prec@5 59.766 (59.679)
Epoch: [10][4340/5005] Time 0.194 (0.224) Data 0.046 (0.078) Loss 2.9848 (3.0704) Prec@1 38.672 (34.098) Prec@5 60.547 (59.678)
Epoch: [10][4350/5005] Time 0.209 (0.224) Data 0.045 (0.078) Loss 3.0072 (3.0703) Prec@1 38.281 (34.101) Prec@5 58.203 (59.678)
Epoch: [10][4360/5005] Time 0.202 (0.224) Data 0.044 (0.078) Loss 3.0138 (3.0703) Prec@1 33.594 (34.099) Prec@5 60.156 (59.678)
Epoch: [10][4370/5005] Time 0.195 (0.224) Data 0.108 (0.078) Loss 3.0989 (3.0703) Prec@1 32.031 (34.100) Prec@5 59.375 (59.677)
Epoch: [10][4380/5005] Time 0.197 (0.224) Data 0.043 (0.078) Loss 3.0659 (3.0702) Prec@1 33.203 (34.100) Prec@5 57.812 (59.679)
Epoch: [10][4390/5005] Time 0.200 (0.224) Data 0.040 (0.078) Loss 3.1286 (3.0699) Prec@1 32.812 (34.106) Prec@5 54.688 (59.686)
Epoch: [10][4400/5005] Time 0.199 (0.224) Data 0.109 (0.078) Loss 2.9719 (3.0699) Prec@1 35.938 (34.107) Prec@5 59.375 (59.685)
Epoch: [10][4410/5005] Time 0.477 (0.224) Data 0.386 (0.078) Loss 2.9842 (3.0697) Prec@1 35.156 (34.109) Prec@5 62.500 (59.685)
Epoch: [10][4420/5005] Time 0.202 (0.224) Data 0.049 (0.078) Loss 2.7283 (3.0696) Prec@1 42.578 (34.110) Prec@5 64.062 (59.684)
Epoch: [10][4430/5005] Time 0.198 (0.224) Data 0.059 (0.078) Loss 3.1582 (3.0694) Prec@1 31.641 (34.112) Prec@5 57.422 (59.686)
Epoch: [10][4440/5005] Time 0.578 (0.224) Data 0.499 (0.078) Loss 3.2363 (3.0694) Prec@1 33.203 (34.113) Prec@5 55.859 (59.687)
Epoch: [10][4450/5005] Time 0.203 (0.224) Data 0.058 (0.078) Loss 2.9269 (3.0694) Prec@1 34.766 (34.112) Prec@5 61.328 (59.686)
Epoch: [10][4460/5005] Time 0.195 (0.224) Data 0.059 (0.078) Loss 3.2736 (3.0694) Prec@1 31.641 (34.112) Prec@5 55.859 (59.686)
Epoch: [10][4470/5005] Time 0.385 (0.224) Data 0.300 (0.078) Loss 3.0543 (3.0696) Prec@1 33.203 (34.107) Prec@5 56.641 (59.681)
Epoch: [10][4480/5005] Time 0.194 (0.224) Data 0.044 (0.078) Loss 2.7693 (3.0698) Prec@1 41.406 (34.107) Prec@5 62.891 (59.679)
Epoch: [10][4490/5005] Time 0.648 (0.224) Data 0.557 (0.078) Loss 3.0091 (3.0699) Prec@1 35.547 (34.105) Prec@5 58.594 (59.675)
Epoch: [10][4500/5005] Time 0.200 (0.224) Data 0.056 (0.078) Loss 2.9708 (3.0698) Prec@1 35.938 (34.105) Prec@5 60.156 (59.675)
Epoch: [10][4510/5005] Time 0.196 (0.224) Data 0.050 (0.078) Loss 2.9539 (3.0698) Prec@1 34.375 (34.103) Prec@5 63.672 (59.675)
Epoch: [10][4520/5005] Time 0.197 (0.224) Data 0.051 (0.078) Loss 3.0488 (3.0697) Prec@1 33.203 (34.106) Prec@5 63.281 (59.679)
Epoch: [10][4530/5005] Time 0.631 (0.224) Data 0.545 (0.078) Loss 2.9705 (3.0698) Prec@1 34.766 (34.106) Prec@5 60.938 (59.678)
Epoch: [10][4540/5005] Time 0.208 (0.224) Data 0.049 (0.078) Loss 3.2771 (3.0700) Prec@1 32.031 (34.102) Prec@5 54.688 (59.676)
Epoch: [10][4550/5005] Time 0.204 (0.224) Data 0.041 (0.078) Loss 3.0608 (3.0700) Prec@1 36.328 (34.103) Prec@5 58.984 (59.677)
Epoch: [10][4560/5005] Time 0.200 (0.224) Data 0.051 (0.078) Loss 2.8536 (3.0699) Prec@1 38.672 (34.107) Prec@5 65.625 (59.679)
Epoch: [10][4570/5005] Time 0.199 (0.224) Data 0.055 (0.078) Loss 3.1082 (3.0698) Prec@1 32.812 (34.106) Prec@5 58.984 (59.682)
Epoch: [10][4580/5005] Time 0.209 (0.224) Data 0.051 (0.078) Loss 3.2725 (3.0698) Prec@1 30.469 (34.108) Prec@5 53.125 (59.684)
Epoch: [10][4590/5005] Time 0.203 (0.224) Data 0.039 (0.078) Loss 3.0469 (3.0698) Prec@1 35.938 (34.107) Prec@5 62.500 (59.686)
Epoch: [10][4600/5005] Time 0.198 (0.224) Data 0.045 (0.078) Loss 2.8157 (3.0698) Prec@1 39.844 (34.106) Prec@5 67.188 (59.686)
Epoch: [10][4610/5005] Time 0.199 (0.224) Data 0.049 (0.078) Loss 2.7959 (3.0696) Prec@1 37.500 (34.108) Prec@5 66.016 (59.690)
Epoch: [10][4620/5005] Time 0.193 (0.224) Data 0.057 (0.078) Loss 2.8679 (3.0695) Prec@1 37.500 (34.111) Prec@5 62.109 (59.693)
Epoch: [10][4630/5005] Time 0.192 (0.224) Data 0.053 (0.078) Loss 2.7942 (3.0694) Prec@1 35.156 (34.110) Prec@5 64.453 (59.694)
Epoch: [10][4640/5005] Time 0.195 (0.224) Data 0.051 (0.078) Loss 3.1248 (3.0694) Prec@1 35.547 (34.111) Prec@5 62.109 (59.698)
Epoch: [10][4650/5005] Time 0.198 (0.224) Data 0.044 (0.078) Loss 3.1034 (3.0693) Prec@1 31.250 (34.112) Prec@5 62.109 (59.701)
Epoch: [10][4660/5005] Time 0.194 (0.224) Data 0.049 (0.078) Loss 3.3877 (3.0694) Prec@1 30.078 (34.112) Prec@5 53.516 (59.701)
Epoch: [10][4670/5005] Time 0.200 (0.224) Data 0.048 (0.078) Loss 3.0396 (3.0692) Prec@1 34.375 (34.113) Prec@5 59.766 (59.702)
Epoch: [10][4680/5005] Time 0.201 (0.224) Data 0.045 (0.078) Loss 3.0282 (3.0691) Prec@1 31.641 (34.114) Prec@5 60.938 (59.703)
Epoch: [10][4690/5005] Time 0.199 (0.224) Data 0.047 (0.078) Loss 3.1457 (3.0691) Prec@1 26.953 (34.114) Prec@5 57.812 (59.703)
Epoch: [10][4700/5005] Time 0.204 (0.224) Data 0.053 (0.078) Loss 2.9964 (3.0692) Prec@1 35.547 (34.114) Prec@5 61.719 (59.702)
Epoch: [10][4710/5005] Time 0.210 (0.224) Data 0.041 (0.078) Loss 3.0904 (3.0689) Prec@1 32.422 (34.119) Prec@5 59.766 (59.705)
Epoch: [10][4720/5005] Time 0.199 (0.224) Data 0.095 (0.078) Loss 2.9437 (3.0689) Prec@1 36.328 (34.119) Prec@5 62.109 (59.704)
Epoch: [10][4730/5005] Time 0.197 (0.224) Data 0.043 (0.078) Loss 3.0508 (3.0691) Prec@1 34.766 (34.115) Prec@5 59.766 (59.702)
Epoch: [10][4740/5005] Time 0.204 (0.224) Data 0.047 (0.078) Loss 3.1330 (3.0691) Prec@1 33.594 (34.117) Prec@5 56.641 (59.705)
Epoch: [10][4750/5005] Time 0.196 (0.224) Data 0.095 (0.078) Loss 3.0221 (3.0690) Prec@1 37.891 (34.119) Prec@5 59.766 (59.707)
Epoch: [10][4760/5005] Time 0.215 (0.224) Data 0.047 (0.078) Loss 3.3932 (3.0689) Prec@1 28.516 (34.120) Prec@5 52.734 (59.707)
Epoch: [10][4770/5005] Time 0.212 (0.224) Data 0.046 (0.078) Loss 2.9280 (3.0688) Prec@1 38.281 (34.121) Prec@5 63.672 (59.708)
Epoch: [10][4780/5005] Time 0.199 (0.224) Data 0.046 (0.078) Loss 3.0907 (3.0689) Prec@1 39.844 (34.124) Prec@5 60.547 (59.709)
Epoch: [10][4790/5005] Time 0.209 (0.224) Data 0.051 (0.078) Loss 3.0750 (3.0688) Prec@1 37.891 (34.129) Prec@5 58.594 (59.711)
Epoch: [10][4800/5005] Time 0.210 (0.224) Data 0.043 (0.078) Loss 3.1536 (3.0687) Prec@1 34.375 (34.127) Prec@5 58.594 (59.711)
Epoch: [10][4810/5005] Time 0.206 (0.224) Data 0.045 (0.078) Loss 3.2694 (3.0686) Prec@1 32.422 (34.127) Prec@5 54.688 (59.711)
Epoch: [10][4820/5005] Time 0.202 (0.224) Data 0.050 (0.078) Loss 3.2106 (3.0684) Prec@1 32.422 (34.130) Prec@5 54.688 (59.714)
Epoch: [10][4830/5005] Time 0.313 (0.224) Data 0.223 (0.078) Loss 2.9501 (3.0683) Prec@1 38.281 (34.130) Prec@5 62.109 (59.718)
Epoch: [10][4840/5005] Time 0.190 (0.224) Data 0.066 (0.078) Loss 2.8480 (3.0684) Prec@1 38.281 (34.128) Prec@5 60.938 (59.715)
Epoch: [10][4850/5005] Time 0.197 (0.224) Data 0.050 (0.079) Loss 3.1206 (3.0685) Prec@1 30.078 (34.127) Prec@5 57.031 (59.712)
Epoch: [10][4860/5005] Time 0.196 (0.224) Data 0.044 (0.078) Loss 3.1800 (3.0685) Prec@1 32.812 (34.127) Prec@5 58.594 (59.711)
Epoch: [10][4870/5005] Time 0.211 (0.224) Data 0.131 (0.078) Loss 2.9709 (3.0685) Prec@1 39.453 (34.129) Prec@5 58.594 (59.709)
Epoch: [10][4880/5005] Time 0.195 (0.224) Data 0.046 (0.079) Loss 2.9103 (3.0685) Prec@1 35.547 (34.129) Prec@5 59.375 (59.711)
Epoch: [10][4890/5005] Time 0.199 (0.224) Data 0.049 (0.078) Loss 3.0653 (3.0685) Prec@1 34.375 (34.129) Prec@5 58.203 (59.709)
Epoch: [10][4900/5005] Time 0.204 (0.224) Data 0.039 (0.078) Loss 2.9063 (3.0684) Prec@1 35.156 (34.131) Prec@5 64.453 (59.711)
Epoch: [10][4910/5005] Time 0.287 (0.224) Data 0.196 (0.078) Loss 2.9680 (3.0682) Prec@1 33.984 (34.132) Prec@5 63.672 (59.714)
Epoch: [10][4920/5005] Time 0.229 (0.224) Data 0.141 (0.078) Loss 2.9909 (3.0682) Prec@1 33.594 (34.130) Prec@5 62.109 (59.715)
Epoch: [10][4930/5005] Time 0.206 (0.224) Data 0.052 (0.078) Loss 3.1337 (3.0682) Prec@1 33.594 (34.127) Prec@5 56.250 (59.714)
Epoch: [10][4940/5005] Time 0.208 (0.224) Data 0.051 (0.078) Loss 3.0627 (3.0683) Prec@1 37.500 (34.128) Prec@5 55.859 (59.712)
Epoch: [10][4950/5005] Time 0.198 (0.224) Data 0.040 (0.078) Loss 2.9181 (3.0684) Prec@1 34.375 (34.127) Prec@5 60.547 (59.710)
Epoch: [10][4960/5005] Time 0.189 (0.224) Data 0.057 (0.079) Loss 3.0699 (3.0683) Prec@1 36.719 (34.129) Prec@5 63.281 (59.713)
Epoch: [10][4970/5005] Time 0.201 (0.224) Data 0.059 (0.079) Loss 3.3345 (3.0684) Prec@1 28.906 (34.127) Prec@5 55.859 (59.714)
Epoch: [10][4980/5005] Time 0.207 (0.224) Data 0.045 (0.079) Loss 3.1198 (3.0682) Prec@1 30.078 (34.128) Prec@5 61.328 (59.717)
Epoch: [10][4990/5005] Time 0.212 (0.224) Data 0.030 (0.079) Loss 3.1530 (3.0682) Prec@1 29.297 (34.129) Prec@5 57.031 (59.719)
Epoch: [10][5000/5005] Time 0.210 (0.224) Data 0.033 (0.079) Loss 2.9636 (3.0681) Prec@1 32.031 (34.129) Prec@5 64.062 (59.719)
Test: [0/196] Time 2.249 (2.249) Loss 2.9554 (2.9554) Prec@1 37.500 (37.500) Prec@5 59.375 (59.375)
Test: [10/196] Time 0.042 (0.380) Loss 3.0048 (3.1075) Prec@1 39.453 (34.375) Prec@5 63.281 (59.446)
Test: [20/196] Time 0.139 (0.292) Loss 3.0012 (3.1243) Prec@1 35.547 (33.743) Prec@5 60.156 (58.929)
Test: [30/196] Time 0.248 (0.267) Loss 3.0067 (3.1429) Prec@1 35.547 (33.443) Prec@5 58.203 (58.531)
Test: [40/196] Time 0.063 (0.265) Loss 2.8656 (3.1387) Prec@1 37.500 (33.765) Prec@5 62.109 (58.441)
Test: [50/196] Time 0.239 (0.259) Loss 3.1559 (3.1450) Prec@1 33.984 (33.525) Prec@5 60.156 (58.479)
Test: [60/196] Time 0.042 (0.252) Loss 2.8593 (3.1290) Prec@1 40.234 (33.856) Prec@5 60.938 (58.754)
Test: [70/196] Time 0.284 (0.246) Loss 3.0058 (3.1207) Prec@1 37.891 (33.814) Prec@5 61.719 (59.034)
Test: [80/196] Time 0.326 (0.244) Loss 2.8767 (3.1223) Prec@1 37.109 (33.743) Prec@5 63.281 (58.980)
Test: [90/196] Time 0.411 (0.242) Loss 3.1488 (3.1251) Prec@1 33.594 (33.641) Prec@5 57.812 (58.924)
Test: [100/196] Time 0.045 (0.238) Loss 3.1856 (3.1252) Prec@1 34.375 (33.598) Prec@5 57.031 (58.946)
Test: [110/196] Time 0.135 (0.239) Loss 3.3584 (3.1278) Prec@1 31.250 (33.537) Prec@5 55.078 (58.981)
Test: [120/196] Time 0.082 (0.236) Loss 2.8917 (3.1239) Prec@1 35.156 (33.597) Prec@5 62.109 (59.017)
Test: [130/196] Time 0.043 (0.233) Loss 2.8062 (3.1222) Prec@1 40.234 (33.659) Prec@5 66.016 (59.053)
Test: [140/196] Time 0.314 (0.233) Loss 2.8952 (3.1222) Prec@1 38.672 (33.652) Prec@5 63.281 (59.020)
Test: [150/196] Time 0.342 (0.235) Loss 2.8366 (3.1204) Prec@1 38.672 (33.726) Prec@5 64.844 (59.026)
Test: [160/196] Time 0.044 (0.233) Loss 3.0438 (3.1185) Prec@1 36.719 (33.749) Prec@5 59.375 (59.004)
Test: [170/196] Time 0.165 (0.232) Loss 2.9029 (3.1188) Prec@1 35.547 (33.678) Prec@5 61.719 (59.028)
Test: [180/196] Time 0.043 (0.230) Loss 3.3245 (3.1234) Prec@1 28.906 (33.598) Prec@5 54.688 (58.892)
Test: [190/196] Time 0.125 (0.231) Loss 3.3930 (3.1269) Prec@1 30.469 (33.569) Prec@5 52.734 (58.763)
* Prec@1 33.564 Prec@5 58.756
Learning rate: 0.001
Epoch: [11][0/5005] Time 2.159 (2.159) Data 2.057 (2.057) Loss 2.8316 (2.8316) Prec@1 38.672 (38.672) Prec@5 63.672 (63.672)
Epoch: [11][10/5005] Time 0.194 (0.379) Data 0.044 (0.229) Loss 2.9154 (2.9983) Prec@1 42.969 (36.044) Prec@5 64.453 (61.151)
Epoch: [11][20/5005] Time 0.202 (0.294) Data 0.047 (0.143) Loss 3.1883 (3.0528) Prec@1 31.250 (34.561) Prec@5 58.594 (60.212)
Epoch: [11][30/5005] Time 0.208 (0.263) Data 0.043 (0.113) Loss 3.0554 (3.0303) Prec@1 32.422 (34.640) Prec@5 61.328 (60.698)
Epoch: [11][40/5005] Time 0.197 (0.248) Data 0.039 (0.096) Loss 2.9672 (3.0420) Prec@1 36.328 (34.642) Prec@5 63.281 (60.575)
Epoch: [11][50/5005] Time 0.191 (0.239) Data 0.053 (0.086) Loss 3.0122 (3.0414) Prec@1 30.078 (34.536) Prec@5 61.719 (60.493)
Epoch: [11][60/5005] Time 0.216 (0.233) Data 0.049 (0.081) Loss 2.9849 (3.0401) Prec@1 30.859 (34.567) Prec@5 64.062 (60.489)
Epoch: [11][70/5005] Time 0.210 (0.229) Data 0.043 (0.076) Loss 2.9626 (3.0546) Prec@1 33.594 (34.248) Prec@5 64.062 (60.189)
Epoch: [11][80/5005] Time 0.200 (0.226) Data 0.048 (0.073) Loss 2.9096 (3.0526) Prec@1 34.766 (34.148) Prec@5 64.844 (60.330)
Epoch: [11][90/5005] Time 0.206 (0.223) Data 0.047 (0.070) Loss 2.9490 (3.0451) Prec@1 38.672 (34.315) Prec@5 63.672 (60.504)
Epoch: [11][100/5005] Time 0.201 (0.221) Data 0.046 (0.068) Loss 2.7058 (3.0427) Prec@1 37.109 (34.425) Prec@5 67.188 (60.435)
Epoch: [11][110/5005] Time 0.203 (0.219) Data 0.044 (0.066) Loss 2.9021 (3.0420) Prec@1 42.188 (34.639) Prec@5 62.891 (60.491)
Epoch: [11][120/5005] Time 0.199 (0.218) Data 0.050 (0.064) Loss 2.9989 (3.0431) Prec@1 35.938 (34.798) Prec@5 58.203 (60.482)
Epoch: [11][130/5005] Time 0.199 (0.217) Data 0.049 (0.064) Loss 3.1511 (3.0421) Prec@1 34.375 (34.801) Prec@5 57.422 (60.443)
Epoch: [11][140/5005] Time 0.199 (0.220) Data 0.039 (0.068) Loss 2.9121 (3.0411) Prec@1 34.375 (34.713) Prec@5 63.672 (60.383)
Epoch: [11][150/5005] Time 0.195 (0.220) Data 0.046 (0.068) Loss 3.1368 (3.0411) Prec@1 32.031 (34.691) Prec@5 58.984 (60.405)
Epoch: [11][160/5005] Time 0.236 (0.222) Data 0.147 (0.071) Loss 3.0241 (3.0453) Prec@1 33.594 (34.644) Prec@5 57.812 (60.358)
Epoch: [11][170/5005] Time 0.200 (0.223) Data 0.046 (0.073) Loss 3.1364 (3.0465) Prec@1 39.453 (34.610) Prec@5 60.156 (60.328)
Epoch: [11][180/5005] Time 0.200 (0.224) Data 0.050 (0.074) Loss 3.2728 (3.0476) Prec@1 32.812 (34.563) Prec@5 57.031 (60.329)
Epoch: [11][190/5005] Time 0.214 (0.225) Data 0.054 (0.076) Loss 3.2639 (3.0532) Prec@1 33.984 (34.490) Prec@5 57.812 (60.207)
Epoch: [11][200/5005] Time 0.215 (0.226) Data 0.132 (0.077) Loss 3.2524 (3.0529) Prec@1 29.688 (34.453) Prec@5 54.297 (60.199)
Epoch: [11][210/5005] Time 0.219 (0.226) Data 0.128 (0.077) Loss 2.7774 (3.0521) Prec@1 39.062 (34.419) Prec@5 64.844 (60.210)
Epoch: [11][220/5005] Time 0.233 (0.226) Data 0.048 (0.077) Loss 2.9797 (3.0506) Prec@1 37.109 (34.447) Prec@5 60.156 (60.227)
Epoch: [11][230/5005] Time 0.209 (0.228) Data 0.050 (0.079) Loss 2.9124 (3.0495) Prec@1 33.594 (34.465) Prec@5 65.625 (60.285)
Epoch: [11][240/5005] Time 0.213 (0.228) Data 0.046 (0.078) Loss 2.8245 (3.0485) Prec@1 37.891 (34.419) Prec@5 62.500 (60.284)
Epoch: [11][250/5005] Time 0.213 (0.228) Data 0.067 (0.078) Loss 3.2849 (3.0486) Prec@1 31.250 (34.459) Prec@5 57.031 (60.254)
Epoch: [11][260/5005] Time 0.215 (0.228) Data 0.126 (0.079) Loss 2.9662 (3.0481) Prec@1 34.375 (34.463) Prec@5 64.062 (60.292)
Epoch: [11][270/5005] Time 0.212 (0.228) Data 0.044 (0.079) Loss 2.9709 (3.0456) Prec@1 39.062 (34.522) Prec@5 57.422 (60.283)
Epoch: [11][280/5005] Time 0.302 (0.229) Data 0.218 (0.081) Loss 3.4396 (3.0487) Prec@1 28.125 (34.464) Prec@5 53.125 (60.223)
Epoch: [11][290/5005] Time 0.477 (0.230) Data 0.394 (0.083) Loss 2.9524 (3.0496) Prec@1 33.594 (34.430) Prec@5 60.547 (60.182)
Epoch: [11][300/5005] Time 0.207 (0.230) Data 0.042 (0.083) Loss 2.8840 (3.0497) Prec@1 37.891 (34.457) Prec@5 60.547 (60.171)
Epoch: [11][310/5005] Time 0.317 (0.231) Data 0.230 (0.084) Loss 2.8316 (3.0462) Prec@1 32.812 (34.522) Prec@5 65.625 (60.243)
Epoch: [11][320/5005] Time 0.202 (0.231) Data 0.050 (0.085) Loss 3.2229 (3.0468) Prec@1 30.469 (34.536) Prec@5 58.984 (60.244)
Epoch: [11][330/5005] Time 0.600 (0.232) Data 0.515 (0.086) Loss 2.6913 (3.0447) Prec@1 40.234 (34.571) Prec@5 63.281 (60.262)
Epoch: [11][340/5005] Time 0.207 (0.232) Data 0.094 (0.086) Loss 3.1672 (3.0472) Prec@1 32.812 (34.512) Prec@5 59.375 (60.204)
Epoch: [11][350/5005] Time 0.212 (0.232) Data 0.059 (0.086) Loss 3.2608 (3.0470) Prec@1 32.812 (34.492) Prec@5 57.031 (60.201)
Epoch: [11][360/5005] Time 0.211 (0.232) Data 0.043 (0.086) Loss 3.0698 (3.0468) Prec@1 37.109 (34.523) Prec@5 56.250 (60.167)
Epoch: [11][370/5005] Time 0.213 (0.231) Data 0.047 (0.084) Loss 3.0161 (3.0443) Prec@1 34.766 (34.573) Prec@5 58.594 (60.178)
Epoch: [11][380/5005] Time 0.211 (0.231) Data 0.056 (0.084) Loss 3.1789 (3.0453) Prec@1 32.422 (34.555) Prec@5 57.422 (60.161)
Epoch: [11][390/5005] Time 0.219 (0.230) Data 0.052 (0.083) Loss 2.9711 (3.0464) Prec@1 36.328 (34.552) Prec@5 62.500 (60.124)
Epoch: [11][400/5005] Time 0.216 (0.230) Data 0.042 (0.082) Loss 2.9887 (3.0451) Prec@1 32.031 (34.545) Prec@5 61.719 (60.150)
Epoch: [11][410/5005] Time 0.215 (0.230) Data 0.043 (0.081) Loss 2.7335 (3.0444) Prec@1 41.016 (34.563) Prec@5 64.453 (60.174)
Epoch: [11][420/5005] Time 0.200 (0.229) Data 0.052 (0.080) Loss 2.8761 (3.0442) Prec@1 38.281 (34.574) Prec@5 63.672 (60.161)
Epoch: [11][430/5005] Time 0.221 (0.229) Data 0.046 (0.079) Loss 2.9689 (3.0436) Prec@1 38.672 (34.598) Prec@5 66.406 (60.194)
Epoch: [11][440/5005] Time 0.221 (0.229) Data 0.050 (0.079) Loss 2.9545 (3.0436) Prec@1 34.375 (34.608) Prec@5 61.328 (60.184)
Epoch: [11][450/5005] Time 0.223 (0.228) Data 0.044 (0.078) Loss 2.8272 (3.0442) Prec@1 36.719 (34.564) Prec@5 62.891 (60.164)
Epoch: [11][460/5005] Time 0.224 (0.228) Data 0.042 (0.077) Loss 3.1797 (3.0452) Prec@1 33.203 (34.550) Prec@5 55.469 (60.153)
Epoch: [11][470/5005] Time 0.204 (0.228) Data 0.050 (0.077) Loss 3.0638 (3.0468) Prec@1 34.375 (34.551) Prec@5 60.938 (60.120)
Epoch: [11][480/5005] Time 0.222 (0.228) Data 0.047 (0.076) Loss 3.2001 (3.0474) Prec@1 33.203 (34.544) Prec@5 59.766 (60.114)
Epoch: [11][490/5005] Time 0.216 (0.227) Data 0.048 (0.076) Loss 3.0914 (3.0481) Prec@1 37.500 (34.520) Prec@5 59.766 (60.082)
Epoch: [11][500/5005] Time 0.212 (0.227) Data 0.044 (0.075) Loss 3.2105 (3.0504) Prec@1 33.203 (34.492) Prec@5 58.203 (60.058)
Epoch: [11][510/5005] Time 0.228 (0.227) Data 0.046 (0.074) Loss 3.2831 (3.0516) Prec@1 31.250 (34.495) Prec@5 55.469 (60.055)
Epoch: [11][520/5005] Time 0.211 (0.227) Data 0.047 (0.074) Loss 3.0187 (3.0509) Prec@1 31.641 (34.503) Prec@5 58.594 (60.073)
Epoch: [11][530/5005] Time 0.218 (0.226) Data 0.042 (0.073) Loss 3.0433 (3.0511) Prec@1 36.328 (34.479) Prec@5 58.984 (60.069)
Epoch: [11][540/5005] Time 0.204 (0.226) Data 0.047 (0.073) Loss 3.1547 (3.0512) Prec@1 33.984 (34.470) Prec@5 57.031 (60.064)
Epoch: [11][550/5005] Time 0.203 (0.226) Data 0.049 (0.073) Loss 2.9606 (3.0499) Prec@1 33.203 (34.488) Prec@5 62.891 (60.079)
Epoch: [11][560/5005] Time 0.226 (0.226) Data 0.054 (0.072) Loss 3.1736 (3.0503) Prec@1 34.375 (34.485) Prec@5 60.156 (60.085)
Epoch: [11][570/5005] Time 0.209 (0.225) Data 0.048 (0.072) Loss 3.1941 (3.0517) Prec@1 30.859 (34.455) Prec@5 57.812 (60.065)
Epoch: [11][580/5005] Time 0.200 (0.225) Data 0.052 (0.071) Loss 3.0590 (3.0508) Prec@1 32.422 (34.464) Prec@5 62.109 (60.092)
Epoch: [11][590/5005] Time 0.213 (0.225) Data 0.045 (0.071) Loss 3.2525 (3.0513) Prec@1 31.641 (34.456) Prec@5 54.688 (60.068)
Epoch: [11][600/5005] Time 0.212 (0.225) Data 0.039 (0.071) Loss 2.9576 (3.0516) Prec@1 40.234 (34.455) Prec@5 62.500 (60.072)
Epoch: [11][610/5005] Time 0.215 (0.225) Data 0.049 (0.070) Loss 2.9776 (3.0518) Prec@1 36.719 (34.440) Prec@5 62.109 (60.055)
Epoch: [11][620/5005] Time 0.216 (0.224) Data 0.040 (0.070) Loss 3.0252 (3.0517) Prec@1 36.328 (34.430) Prec@5 62.109 (60.072)
Epoch: [11][630/5005] Time 0.214 (0.224) Data 0.041 (0.069) Loss 3.2227 (3.0516) Prec@1 33.594 (34.447) Prec@5 57.422 (60.070)
Epoch: [11][640/5005] Time 0.215 (0.224) Data 0.047 (0.069) Loss 3.0133 (3.0514) Prec@1 31.641 (34.433) Prec@5 58.203 (60.071)
Epoch: [11][650/5005] Time 0.213 (0.224) Data 0.044 (0.069) Loss 3.2753 (3.0525) Prec@1 30.078 (34.411) Prec@5 56.641 (60.061)
Epoch: [11][660/5005] Time 0.217 (0.224) Data 0.043 (0.068) Loss 3.0584 (3.0518) Prec@1 30.078 (34.417) Prec@5 57.422 (60.068)
Epoch: [11][670/5005] Time 0.211 (0.224) Data 0.040 (0.068) Loss 3.3943 (3.0521) Prec@1 30.078 (34.427) Prec@5 54.688 (60.063)
Epoch: [11][680/5005] Time 0.217 (0.224) Data 0.044 (0.067) Loss 3.1159 (3.0528) Prec@1 31.250 (34.419) Prec@5 61.719 (60.048)
Epoch: [11][690/5005] Time 0.214 (0.223) Data 0.043 (0.067) Loss 2.9628 (3.0525) Prec@1 32.422 (34.415) Prec@5 64.453 (60.052)
Epoch: [11][700/5005] Time 0.220 (0.223) Data 0.042 (0.067) Loss 3.0445 (3.0521) Prec@1 35.156 (34.405) Prec@5 60.938 (60.065)
Epoch: [11][710/5005] Time 0.214 (0.223) Data 0.042 (0.067) Loss 2.9052 (3.0517) Prec@1 37.500 (34.417) Prec@5 64.844 (60.083)
Epoch: [11][720/5005] Time 0.201 (0.223) Data 0.044 (0.066) Loss 2.8932 (3.0504) Prec@1 36.328 (34.424) Prec@5 64.062 (60.107)
Epoch: [11][730/5005] Time 0.212 (0.223) Data 0.040 (0.066) Loss 3.2647 (3.0507) Prec@1 33.984 (34.441) Prec@5 59.766 (60.101)
Epoch: [11][740/5005] Time 0.210 (0.223) Data 0.044 (0.066) Loss 3.1417 (3.0507) Prec@1 33.203 (34.447) Prec@5 55.859 (60.088)
Epoch: [11][750/5005] Time 0.216 (0.223) Data 0.039 (0.065) Loss 2.8084 (3.0502) Prec@1 36.328 (34.450) Prec@5 65.625 (60.103)
Epoch: [11][760/5005] Time 0.210 (0.223) Data 0.043 (0.065) Loss 3.1425 (3.0503) Prec@1 32.422 (34.452) Prec@5 58.203 (60.102)
Epoch: [11][770/5005] Time 0.203 (0.223) Data 0.042 (0.065) Loss 3.1355 (3.0494) Prec@1 30.859 (34.469) Prec@5 54.688 (60.112)
Epoch: [11][780/5005] Time 0.209 (0.223) Data 0.044 (0.065) Loss 3.2237 (3.0494) Prec@1 35.156 (34.485) Prec@5 57.812 (60.113)
Epoch: [11][790/5005] Time 0.217 (0.223) Data 0.045 (0.064) Loss 3.0347 (3.0493) Prec@1 34.766 (34.491) Prec@5 61.328 (60.118)
Epoch: [11][800/5005] Time 0.212 (0.223) Data 0.042 (0.064) Loss 2.9602 (3.0487) Prec@1 34.766 (34.490) Prec@5 60.938 (60.129)
Epoch: [11][810/5005] Time 0.212 (0.223) Data 0.049 (0.064) Loss 3.1393 (3.0488) Prec@1 32.422 (34.481) Prec@5 55.859 (60.134)
Epoch: [11][820/5005] Time 0.198 (0.222) Data 0.048 (0.064) Loss 3.1714 (3.0491) Prec@1 34.375 (34.467) Prec@5 54.297 (60.129)
Epoch: [11][830/5005] Time 0.211 (0.222) Data 0.053 (0.064) Loss 3.0339 (3.0494) Prec@1 33.984 (34.462) Prec@5 63.281 (60.131)
Epoch: [11][840/5005] Time 0.216 (0.222) Data 0.052 (0.064) Loss 3.0349 (3.0501) Prec@1 33.984 (34.455) Prec@5 59.766 (60.127)
Epoch: [11][850/5005] Time 0.203 (0.222) Data 0.056 (0.064) Loss 3.2535 (3.0495) Prec@1 29.688 (34.472) Prec@5 59.375 (60.137)
Epoch: [11][860/5005] Time 0.210 (0.222) Data 0.085 (0.064) Loss 3.1100 (3.0493) Prec@1 33.594 (34.473) Prec@5 57.812 (60.139)
Epoch: [11][870/5005] Time 0.238 (0.223) Data 0.154 (0.065) Loss 3.0207 (3.0480) Prec@1 32.422 (34.502) Prec@5 60.547 (60.151)
Epoch: [11][880/5005] Time 0.200 (0.223) Data 0.043 (0.065) Loss 3.0211 (3.0484) Prec@1 33.594 (34.514) Prec@5 60.156 (60.140)
Epoch: [11][890/5005] Time 0.198 (0.223) Data 0.044 (0.066) Loss 3.2470 (3.0485) Prec@1 29.688 (34.504) Prec@5 56.250 (60.127)
Epoch: [11][900/5005] Time 0.216 (0.223) Data 0.040 (0.065) Loss 2.9373 (3.0481) Prec@1 35.547 (34.500) Prec@5 62.891 (60.125)
Epoch: [11][910/5005] Time 0.212 (0.223) Data 0.050 (0.066) Loss 3.0428 (3.0482) Prec@1 36.328 (34.497) Prec@5 60.938 (60.114)
Epoch: [11][920/5005] Time 0.207 (0.223) Data 0.045 (0.066) Loss 2.9468 (3.0477) Prec@1 33.984 (34.496) Prec@5 61.719 (60.119)
Epoch: [11][930/5005] Time 0.208 (0.223) Data 0.045 (0.066) Loss 3.0517 (3.0469) Prec@1 34.375 (34.508) Prec@5 59.375 (60.124)
Epoch: [11][940/5005] Time 0.199 (0.224) Data 0.050 (0.067) Loss 2.9040 (3.0471) Prec@1 34.375 (34.510) Prec@5 63.672 (60.131)
Epoch: [11][950/5005] Time 0.708 (0.225) Data 0.623 (0.069) Loss 3.2593 (3.0481) Prec@1 31.250 (34.502) Prec@5 59.375 (60.117)
Epoch: [11][960/5005] Time 0.209 (0.225) Data 0.048 (0.069) Loss 3.2989 (3.0484) Prec@1 31.250 (34.499) Prec@5 55.469 (60.116)
Epoch: [11][970/5005] Time 0.200 (0.225) Data 0.045 (0.069) Loss 2.8160 (3.0479) Prec@1 36.328 (34.504) Prec@5 61.328 (60.117)
Epoch: [11][980/5005] Time 0.197 (0.225) Data 0.074 (0.070) Loss 2.8637 (3.0471) Prec@1 35.547 (34.508) Prec@5 61.719 (60.116)
Epoch: [11][990/5005] Time 0.213 (0.225) Data 0.045 (0.070) Loss 3.0511 (3.0472) Prec@1 30.859 (34.498) Prec@5 60.938 (60.104)
Epoch: [11][1000/5005] Time 0.210 (0.225) Data 0.044 (0.069) Loss 3.0135 (3.0466) Prec@1 35.156 (34.512) Prec@5 62.109 (60.122)
Epoch: [11][1010/5005] Time 0.209 (0.225) Data 0.047 (0.069) Loss 2.9479 (3.0461) Prec@1 35.547 (34.534) Prec@5 63.281 (60.139)
Epoch: [11][1020/5005] Time 0.206 (0.225) Data 0.043 (0.069) Loss 2.9276 (3.0465) Prec@1 37.891 (34.534) Prec@5 65.625 (60.134)
Epoch: [11][1030/5005] Time 0.207 (0.224) Data 0.042 (0.069) Loss 3.0154 (3.0463) Prec@1 37.500 (34.531) Prec@5 61.328 (60.132)
Epoch: [11][1040/5005] Time 0.217 (0.224) Data 0.044 (0.068) Loss 3.1730 (3.0463) Prec@1 33.203 (34.534) Prec@5 54.688 (60.130)
Epoch: [11][1050/5005] Time 0.205 (0.224) Data 0.042 (0.068) Loss 3.1742 (3.0469) Prec@1 29.688 (34.527) Prec@5 61.328 (60.115)
Epoch: [11][1060/5005] Time 0.209 (0.224) Data 0.045 (0.068) Loss 3.3163 (3.0474) Prec@1 32.031 (34.518) Prec@5 55.078 (60.116)
Epoch: [11][1070/5005] Time 0.205 (0.224) Data 0.044 (0.068) Loss 3.1153 (3.0477) Prec@1 33.594 (34.511) Prec@5 59.766 (60.111)
Epoch: [11][1080/5005] Time 0.212 (0.224) Data 0.053 (0.067) Loss 3.0484 (3.0477) Prec@1 33.984 (34.508) Prec@5 59.375 (60.111)
Epoch: [11][1090/5005] Time 0.210 (0.224) Data 0.057 (0.067) Loss 2.8267 (3.0474) Prec@1 37.891 (34.514) Prec@5 61.328 (60.115)
Epoch: [11][1100/5005] Time 0.210 (0.224) Data 0.052 (0.067) Loss 2.8824 (3.0469) Prec@1 37.109 (34.532) Prec@5 66.406 (60.118)
Epoch: [11][1110/5005] Time 0.210 (0.224) Data 0.040 (0.067) Loss 3.1183 (3.0469) Prec@1 32.422 (34.532) Prec@5 57.031 (60.121)
Epoch: [11][1120/5005] Time 0.208 (0.223) Data 0.049 (0.067) Loss 2.8866 (3.0459) Prec@1 42.969 (34.548) Prec@5 62.109 (60.137)
Epoch: [11][1130/5005] Time 0.197 (0.223) Data 0.050 (0.067) Loss 3.0982 (3.0461) Prec@1 31.250 (34.550) Prec@5 59.375 (60.130)
Epoch: [11][1140/5005] Time 0.210 (0.223) Data 0.047 (0.066) Loss 3.0936 (3.0456) Prec@1 37.109 (34.562) Prec@5 58.984 (60.139)
Epoch: [11][1150/5005] Time 0.215 (0.223) Data 0.041 (0.066) Loss 2.9583 (3.0451) Prec@1 33.984 (34.569) Prec@5 61.328 (60.146)
Epoch: [11][1160/5005] Time 0.211 (0.223) Data 0.045 (0.066) Loss 2.9530 (3.0450) Prec@1 38.281 (34.569) Prec@5 61.719 (60.147)
Epoch: [11][1170/5005] Time 0.204 (0.223) Data 0.041 (0.066) Loss 2.9497 (3.0449) Prec@1 35.938 (34.561) Prec@5 59.375 (60.143)
Epoch: [11][1180/5005] Time 0.212 (0.223) Data 0.043 (0.066) Loss 3.2645 (3.0448) Prec@1 28.125 (34.555) Prec@5 53.906 (60.133)
Epoch: [11][1190/5005] Time 0.217 (0.223) Data 0.043 (0.066) Loss 2.7568 (3.0443) Prec@1 37.109 (34.566) Prec@5 64.453 (60.138)
Epoch: [11][1200/5005] Time 0.211 (0.223) Data 0.048 (0.065) Loss 3.3103 (3.0445) Prec@1 28.516 (34.555) Prec@5 57.812 (60.135)
Epoch: [11][1210/5005] Time 0.207 (0.222) Data 0.044 (0.065) Loss 3.1846 (3.0448) Prec@1 28.906 (34.541) Prec@5 58.984 (60.127)
Epoch: [11][1220/5005] Time 0.202 (0.222) Data 0.044 (0.065) Loss 2.9524 (3.0448) Prec@1 33.203 (34.533) Prec@5 60.547 (60.132)
Epoch: [11][1230/5005] Time 0.215 (0.222) Data 0.044 (0.065) Loss 3.0143 (3.0448) Prec@1 37.109 (34.533) Prec@5 60.547 (60.134)
Epoch: [11][1240/5005] Time 0.336 (0.222) Data 0.251 (0.065) Loss 3.0235 (3.0450) Prec@1 36.719 (34.531) Prec@5 64.062 (60.127)
Epoch: [11][1250/5005] Time 0.204 (0.222) Data 0.045 (0.065) Loss 3.2675 (3.0457) Prec@1 30.859 (34.523) Prec@5 54.297 (60.108)
Epoch: [11][1260/5005] Time 0.199 (0.223) Data 0.050 (0.066) Loss 2.7456 (3.0450) Prec@1 36.719 (34.525) Prec@5 66.406 (60.122)
Epoch: [11][1270/5005] Time 0.204 (0.223) Data 0.047 (0.066) Loss 3.2868 (3.0456) Prec@1 26.953 (34.514) Prec@5 54.688 (60.107)
Epoch: [11][1280/5005] Time 0.208 (0.223) Data 0.042 (0.066) Loss 2.9456 (3.0459) Prec@1 35.547 (34.513) Prec@5 62.109 (60.098)
Epoch: [11][1290/5005] Time 0.206 (0.223) Data 0.044 (0.066) Loss 2.9237 (3.0457) Prec@1 39.453 (34.523) Prec@5 60.938 (60.104)
Epoch: [11][1300/5005] Time 0.210 (0.223) Data 0.049 (0.066) Loss 3.0598 (3.0455) Prec@1 38.281 (34.531) Prec@5 59.766 (60.105)
Epoch: [11][1310/5005] Time 0.369 (0.223) Data 0.281 (0.066) Loss 2.9946 (3.0454) Prec@1 33.984 (34.529) Prec@5 64.844 (60.111)
Epoch: [11][1320/5005] Time 0.213 (0.223) Data 0.047 (0.066) Loss 3.2868 (3.0455) Prec@1 30.469 (34.532) Prec@5 57.422 (60.112)
Epoch: [11][1330/5005] Time 0.223 (0.223) Data 0.042 (0.066) Loss 3.1162 (3.0461) Prec@1 28.906 (34.519) Prec@5 61.328 (60.110)
Epoch: [11][1340/5005] Time 0.204 (0.223) Data 0.044 (0.066) Loss 2.9606 (3.0457) Prec@1 35.938 (34.521) Prec@5 60.156 (60.121)
Epoch: [11][1350/5005] Time 0.202 (0.223) Data 0.048 (0.067) Loss 3.3668 (3.0461) Prec@1 29.297 (34.513) Prec@5 55.859 (60.114)
Epoch: [11][1360/5005] Time 0.195 (0.223) Data 0.053 (0.067) Loss 2.8928 (3.0460) Prec@1 37.500 (34.525) Prec@5 61.719 (60.115)
Epoch: [11][1370/5005] Time 0.201 (0.223) Data 0.052 (0.066) Loss 3.0759 (3.0459) Prec@1 39.453 (34.531) Prec@5 60.156 (60.116)
Epoch: [11][1380/5005] Time 0.203 (0.222) Data 0.066 (0.066) Loss 3.0911 (3.0459) Prec@1 33.594 (34.536) Prec@5 58.594 (60.117)
Epoch: [11][1390/5005] Time 0.334 (0.223) Data 0.251 (0.067) Loss 2.9724 (3.0460) Prec@1 37.891 (34.530) Prec@5 62.109 (60.106)
Epoch: [11][1400/5005] Time 0.195 (0.223) Data 0.055 (0.067) Loss 2.9330 (3.0451) Prec@1 35.938 (34.543) Prec@5 60.938 (60.121)
Epoch: [11][1410/5005] Time 0.201 (0.223) Data 0.043 (0.067) Loss 3.0965 (3.0444) Prec@1 32.031 (34.554) Prec@5 59.375 (60.136)
Epoch: [11][1420/5005] Time 0.205 (0.223) Data 0.042 (0.067) Loss 3.2988 (3.0444) Prec@1 30.859 (34.558) Prec@5 55.859 (60.135)
Epoch: [11][1430/5005] Time 0.195 (0.223) Data 0.048 (0.068) Loss 2.7360 (3.0439) Prec@1 36.328 (34.557) Prec@5 64.453 (60.146)
Epoch: [11][1440/5005] Time 0.200 (0.223) Data 0.050 (0.068) Loss 2.7692 (3.0435) Prec@1 36.328 (34.556) Prec@5 66.406 (60.146)
Epoch: [11][1450/5005] Time 0.213 (0.223) Data 0.042 (0.068) Loss 3.0277 (3.0436) Prec@1 33.594 (34.557) Prec@5 59.375 (60.140)
Epoch: [11][1460/5005] Time 0.200 (0.223) Data 0.049 (0.068) Loss 3.0877 (3.0435) Prec@1 35.156 (34.555) Prec@5 56.250 (60.139)
Epoch: [11][1470/5005] Time 0.208 (0.223) Data 0.046 (0.067) Loss 3.0294 (3.0436) Prec@1 34.766 (34.552) Prec@5 56.641 (60.135)
Epoch: [11][1480/5005] Time 0.207 (0.223) Data 0.042 (0.067) Loss 2.8555 (3.0439) Prec@1 36.719 (34.551) Prec@5 66.016 (60.134)
Epoch: [11][1490/5005] Time 0.207 (0.223) Data 0.039 (0.067) Loss 3.3306 (3.0438) Prec@1 30.078 (34.549) Prec@5 57.422 (60.139)
Epoch: [11][1500/5005] Time 0.297 (0.223) Data 0.220 (0.068) Loss 3.0240 (3.0437) Prec@1 35.938 (34.547) Prec@5 57.031 (60.132)
Epoch: [11][1510/5005] Time 0.213 (0.223) Data 0.043 (0.068) Loss 2.8728 (3.0434) Prec@1 36.719 (34.550) Prec@5 59.766 (60.136)
Epoch: [11][1520/5005] Time 0.209 (0.223) Data 0.041 (0.068) Loss 3.1300 (3.0436) Prec@1 33.203 (34.546) Prec@5 57.031 (60.130)
Epoch: [11][1530/5005] Time 0.209 (0.223) Data 0.039 (0.068) Loss 3.3510 (3.0438) Prec@1 33.203 (34.544) Prec@5 55.859 (60.132)
Epoch: [11][1540/5005] Time 0.204 (0.223) Data 0.044 (0.068) Loss 3.1510 (3.0440) Prec@1 33.984 (34.546) Prec@5 56.250 (60.125)
Epoch: [11][1550/5005] Time 0.206 (0.223) Data 0.045 (0.068) Loss 3.0869 (3.0437) Prec@1 33.984 (34.555) Prec@5 60.938 (60.132)
Epoch: [11][1560/5005] Time 0.204 (0.223) Data 0.042 (0.068) Loss 2.9432 (3.0440) Prec@1 37.109 (34.553) Prec@5 58.203 (60.132)
Epoch: [11][1570/5005] Time 0.203 (0.223) Data 0.043 (0.068) Loss 3.0242 (3.0439) Prec@1 37.891 (34.555) Prec@5 62.109 (60.135)
Epoch: [11][1580/5005] Time 0.210 (0.224) Data 0.041 (0.069) Loss 3.0432 (3.0443) Prec@1 31.641 (34.542) Prec@5 62.500 (60.126)
Epoch: [11][1590/5005] Time 0.201 (0.224) Data 0.047 (0.069) Loss 2.9859 (3.0442) Prec@1 37.891 (34.546) Prec@5 59.766 (60.124)
Epoch: [11][1600/5005] Time 0.194 (0.224) Data 0.046 (0.069) Loss 3.0823 (3.0442) Prec@1 31.641 (34.539) Prec@5 58.984 (60.119)
Epoch: [11][1610/5005] Time 0.198 (0.224) Data 0.046 (0.069) Loss 3.1581 (3.0442) Prec@1 32.812 (34.540) Prec@5 60.547 (60.127)
Epoch: [11][1620/5005] Time 0.194 (0.224) Data 0.056 (0.069) Loss 3.3651 (3.0443) Prec@1 30.859 (34.541) Prec@5 50.781 (60.117)
Epoch: [11][1630/5005] Time 0.209 (0.224) Data 0.045 (0.069) Loss 2.8526 (3.0443) Prec@1 35.156 (34.541) Prec@5 63.281 (60.108)
Epoch: [11][1640/5005] Time 0.204 (0.224) Data 0.041 (0.069) Loss 2.9974 (3.0445) Prec@1 37.891 (34.544) Prec@5 63.281 (60.107)
Epoch: [11][1650/5005] Time 0.205 (0.224) Data 0.051 (0.069) Loss 3.0658 (3.0444) Prec@1 39.062 (34.555) Prec@5 60.938 (60.110)
Epoch: [11][1660/5005] Time 0.497 (0.224) Data 0.414 (0.069) Loss 2.8990 (3.0437) Prec@1 37.891 (34.569) Prec@5 62.109 (60.122)
Epoch: [11][1670/5005] Time 0.208 (0.224) Data 0.051 (0.069) Loss 2.8379 (3.0440) Prec@1 37.109 (34.562) Prec@5 64.844 (60.122)
Epoch: [11][1680/5005] Time 0.202 (0.224) Data 0.053 (0.069) Loss 3.0839 (3.0441) Prec@1 34.375 (34.572) Prec@5 60.547 (60.119)
Epoch: [11][1690/5005] Time 0.190 (0.224) Data 0.043 (0.069) Loss 2.8083 (3.0436) Prec@1 38.672 (34.571) Prec@5 63.672 (60.123)
Epoch: [11][1700/5005] Time 0.208 (0.224) Data 0.053 (0.069) Loss 2.9871 (3.0432) Prec@1 31.250 (34.571) Prec@5 60.547 (60.126)
Epoch: [11][1710/5005] Time 0.201 (0.224) Data 0.105 (0.069) Loss 2.9047 (3.0427) Prec@1 38.281 (34.574) Prec@5 65.234 (60.135)
Epoch: [11][1720/5005] Time 0.235 (0.224) Data 0.149 (0.069) Loss 2.9257 (3.0427) Prec@1 38.281 (34.565) Prec@5 64.062 (60.137)
Epoch: [11][1730/5005] Time 0.241 (0.224) Data 0.152 (0.070) Loss 3.1308 (3.0428) Prec@1 29.688 (34.566) Prec@5 56.250 (60.135)
Epoch: [11][1740/5005] Time 0.202 (0.224) Data 0.046 (0.070) Loss 3.1988 (3.0426) Prec@1 32.422 (34.567) Prec@5 56.250 (60.145)
Epoch: [11][1750/5005] Time 0.205 (0.224) Data 0.042 (0.070) Loss 3.0681 (3.0423) Prec@1 31.250 (34.568) Prec@5 58.594 (60.146)
Epoch: [11][1760/5005] Time 0.215 (0.224) Data 0.051 (0.070) Loss 2.7906 (3.0421) Prec@1 36.719 (34.575) Prec@5 62.891 (60.146)
Epoch: [11][1770/5005] Time 0.206 (0.224) Data 0.051 (0.070) Loss 3.0151 (3.0417) Prec@1 33.594 (34.579) Prec@5 60.938 (60.156)
Epoch: [11][1780/5005] Time 0.202 (0.224) Data 0.041 (0.070) Loss 3.1100 (3.0417) Prec@1 29.688 (34.574) Prec@5 58.984 (60.155)
Epoch: [11][1790/5005] Time 0.201 (0.224) Data 0.046 (0.070) Loss 2.9409 (3.0415) Prec@1 35.938 (34.576) Prec@5 60.938 (60.160)
Epoch: [11][1800/5005] Time 0.207 (0.224) Data 0.061 (0.070) Loss 3.0169 (3.0413) Prec@1 34.375 (34.581) Prec@5 61.328 (60.163)
Epoch: [11][1810/5005] Time 0.201 (0.224) Data 0.050 (0.070) Loss 2.9510 (3.0413) Prec@1 38.281 (34.579) Prec@5 63.672 (60.163)
Epoch: [11][1820/5005] Time 0.211 (0.224) Data 0.043 (0.070) Loss 3.0393 (3.0413) Prec@1 36.328 (34.579) Prec@5 61.328 (60.159)
Epoch: [11][1830/5005] Time 0.200 (0.224) Data 0.044 (0.070) Loss 2.7768 (3.0410) Prec@1 40.625 (34.590) Prec@5 62.500 (60.165)
Epoch: [11][1840/5005] Time 0.207 (0.224) Data 0.045 (0.070) Loss 3.2032 (3.0409) Prec@1 30.859 (34.597) Prec@5 56.250 (60.166)
Epoch: [11][1850/5005] Time 0.195 (0.224) Data 0.091 (0.070) Loss 3.0711 (3.0407) Prec@1 32.031 (34.596) Prec@5 60.547 (60.171)
Epoch: [11][1860/5005] Time 0.204 (0.224) Data 0.046 (0.070) Loss 2.9318 (3.0410) Prec@1 39.453 (34.594) Prec@5 61.719 (60.164)
Epoch: [11][1870/5005] Time 0.204 (0.224) Data 0.049 (0.070) Loss 3.1050 (3.0411) Prec@1 32.812 (34.590) Prec@5 58.594 (60.161)
Epoch: [11][1880/5005] Time 0.208 (0.224) Data 0.045 (0.070) Loss 3.0660 (3.0413) Prec@1 37.109 (34.591) Prec@5 60.938 (60.157)
Epoch: [11][1890/5005] Time 0.207 (0.224) Data 0.046 (0.070) Loss 3.0240 (3.0412) Prec@1 35.156 (34.593) Prec@5 60.156 (60.161)
Epoch: [11][1900/5005] Time 0.235 (0.224) Data 0.154 (0.071) Loss 2.9769 (3.0416) Prec@1 38.672 (34.589) Prec@5 64.453 (60.159)
Epoch: [11][1910/5005] Time 0.211 (0.224) Data 0.045 (0.071) Loss 3.1925 (3.0417) Prec@1 30.078 (34.587) Prec@5 57.812 (60.151)
Epoch: [11][1920/5005] Time 0.205 (0.224) Data 0.053 (0.071) Loss 3.1303 (3.0417) Prec@1 35.547 (34.585) Prec@5 56.250 (60.154)
Epoch: [11][1930/5005] Time 0.209 (0.224) Data 0.040 (0.071) Loss 2.9714 (3.0415) Prec@1 32.812 (34.585) Prec@5 60.938 (60.157)
Epoch: [11][1940/5005] Time 0.199 (0.224) Data 0.064 (0.071) Loss 2.8086 (3.0412) Prec@1 37.109 (34.586) Prec@5 66.406 (60.166)
Epoch: [11][1950/5005] Time 0.202 (0.224) Data 0.050 (0.071) Loss 3.2435 (3.0412) Prec@1 30.469 (34.580) Prec@5 55.859 (60.165)
Epoch: [11][1960/5005] Time 0.197 (0.224) Data 0.111 (0.071) Loss 2.9377 (3.0409) Prec@1 35.938 (34.580) Prec@5 64.453 (60.176)
Epoch: [11][1970/5005] Time 0.197 (0.224) Data 0.058 (0.071) Loss 3.1279 (3.0411) Prec@1 30.859 (34.571) Prec@5 57.031 (60.168)
Epoch: [11][1980/5005] Time 0.206 (0.224) Data 0.044 (0.071) Loss 2.6991 (3.0411) Prec@1 39.844 (34.577) Prec@5 63.672 (60.165)
Epoch: [11][1990/5005] Time 0.198 (0.224) Data 0.046 (0.071) Loss 2.9144 (3.0411) Prec@1 33.984 (34.578) Prec@5 60.156 (60.162)
Epoch: [11][2000/5005] Time 0.205 (0.224) Data 0.046 (0.071) Loss 2.9672 (3.0412) Prec@1 38.672 (34.577) Prec@5 58.984 (60.161)
Epoch: [11][2010/5005] Time 0.205 (0.224) Data 0.048 (0.071) Loss 2.9886 (3.0415) Prec@1 33.984 (34.572) Prec@5 59.766 (60.153)
Epoch: [11][2020/5005] Time 0.211 (0.224) Data 0.125 (0.071) Loss 3.0677 (3.0415) Prec@1 33.984 (34.571) Prec@5 61.719 (60.154)
Epoch: [11][2030/5005] Time 0.211 (0.224) Data 0.058 (0.071) Loss 2.9678 (3.0415) Prec@1 35.156 (34.576) Prec@5 64.844 (60.151)
Epoch: [11][2040/5005] Time 0.207 (0.224) Data 0.047 (0.072) Loss 2.7615 (3.0411) Prec@1 40.234 (34.580) Prec@5 62.500 (60.159)
Epoch: [11][2050/5005] Time 0.201 (0.224) Data 0.042 (0.072) Loss 3.2141 (3.0414) Prec@1 34.375 (34.577) Prec@5 61.328 (60.154)
Epoch: [11][2060/5005] Time 0.197 (0.224) Data 0.050 (0.072) Loss 2.9542 (3.0413) Prec@1 35.938 (34.574) Prec@5 62.891 (60.153)
Epoch: [11][2070/5005] Time 0.223 (0.224) Data 0.146 (0.072) Loss 3.1130 (3.0415) Prec@1 32.422 (34.573) Prec@5 58.203 (60.143)
Epoch: [11][2080/5005] Time 0.209 (0.224) Data 0.045 (0.072) Loss 3.1334 (3.0416) Prec@1 31.250 (34.576) Prec@5 59.375 (60.143)
Epoch: [11][2090/5005] Time 0.195 (0.224) Data 0.047 (0.072) Loss 2.8652 (3.0410) Prec@1 35.156 (34.586) Prec@5 62.891 (60.152)
Epoch: [11][2100/5005] Time 0.200 (0.224) Data 0.053 (0.072) Loss 3.1256 (3.0410) Prec@1 37.500 (34.588) Prec@5 58.984 (60.148)
Epoch: [11][2110/5005] Time 0.210 (0.224) Data 0.050 (0.072) Loss 2.9233 (3.0410) Prec@1 34.766 (34.588) Prec@5 62.891 (60.146)
Epoch: [11][2120/5005] Time 0.219 (0.224) Data 0.043 (0.072) Loss 3.2739 (3.0412) Prec@1 32.422 (34.584) Prec@5 55.078 (60.145)
Epoch: [11][2130/5005] Time 0.196 (0.224) Data 0.106 (0.072) Loss 3.0832 (3.0407) Prec@1 35.156 (34.590) Prec@5 62.109 (60.156)
Epoch: [11][2140/5005] Time 0.195 (0.224) Data 0.058 (0.072) Loss 3.0004 (3.0408) Prec@1 36.719 (34.594) Prec@5 58.594 (60.151)
Epoch: [11][2150/5005] Time 0.203 (0.224) Data 0.041 (0.072) Loss 2.8288 (3.0407) Prec@1 41.406 (34.594) Prec@5 65.234 (60.149)
Epoch: [11][2160/5005] Time 0.216 (0.224) Data 0.041 (0.072) Loss 2.9592 (3.0408) Prec@1 37.109 (34.592) Prec@5 60.547 (60.148)
Epoch: [11][2170/5005] Time 0.200 (0.224) Data 0.049 (0.072) Loss 2.9471 (3.0404) Prec@1 35.938 (34.600) Prec@5 62.500 (60.156)
Epoch: [11][2180/5005] Time 0.215 (0.224) Data 0.126 (0.072) Loss 2.8900 (3.0404) Prec@1 38.672 (34.600) Prec@5 63.281 (60.156)
Epoch: [11][2190/5005] Time 0.199 (0.224) Data 0.044 (0.072) Loss 3.1842 (3.0403) Prec@1 35.156 (34.596) Prec@5 57.422 (60.160)
Epoch: [11][2200/5005] Time 0.204 (0.224) Data 0.050 (0.072) Loss 3.0960 (3.0404) Prec@1 33.203 (34.598) Prec@5 62.500 (60.156)
Epoch: [11][2210/5005] Time 0.197 (0.224) Data 0.047 (0.072) Loss 3.1519 (3.0407) Prec@1 32.031 (34.595) Prec@5 56.641 (60.154)
Epoch: [11][2220/5005] Time 0.205 (0.224) Data 0.122 (0.073) Loss 3.1951 (3.0406) Prec@1 35.547 (34.599) Prec@5 58.594 (60.159)
Epoch: [11][2230/5005] Time 0.206 (0.224) Data 0.044 (0.073) Loss 3.0586 (3.0406) Prec@1 35.547 (34.599) Prec@5 59.766 (60.158)
Epoch: [11][2240/5005] Time 0.209 (0.224) Data 0.043 (0.073) Loss 3.0247 (3.0409) Prec@1 36.719 (34.597) Prec@5 62.109 (60.158)
Epoch: [11][2250/5005] Time 0.194 (0.224) Data 0.066 (0.073) Loss 2.9083 (3.0410) Prec@1 33.594 (34.596) Prec@5 63.281 (60.153)
Epoch: [11][2260/5005] Time 0.209 (0.224) Data 0.045 (0.073) Loss 2.9243 (3.0406) Prec@1 36.328 (34.604) Prec@5 61.328 (60.163)
Epoch: [11][2270/5005] Time 0.203 (0.224) Data 0.053 (0.073) Loss 3.2679 (3.0402) Prec@1 33.594 (34.616) Prec@5 55.469 (60.167)
Epoch: [11][2280/5005] Time 0.195 (0.224) Data 0.060 (0.073) Loss 3.0720 (3.0401) Prec@1 33.203 (34.613) Prec@5 64.062 (60.169)
Epoch: [11][2290/5005] Time 0.198 (0.224) Data 0.044 (0.073) Loss 2.9351 (3.0400) Prec@1 38.281 (34.616) Prec@5 62.891 (60.172)
Epoch: [11][2300/5005] Time 0.194 (0.224) Data 0.049 (0.073) Loss 2.9626 (3.0400) Prec@1 34.766 (34.618) Prec@5 60.547 (60.173)
Epoch: [11][2310/5005] Time 0.645 (0.224) Data 0.564 (0.073) Loss 2.7955 (3.0399) Prec@1 38.281 (34.620) Prec@5 66.016 (60.173)
Epoch: [11][2320/5005] Time 0.205 (0.224) Data 0.045 (0.073) Loss 3.1479 (3.0398) Prec@1 32.812 (34.621) Prec@5 57.422 (60.176)
Epoch: [11][2330/5005] Time 0.194 (0.224) Data 0.057 (0.073) Loss 2.9685 (3.0396) Prec@1 38.672 (34.629) Prec@5 64.062 (60.181)
Epoch: [11][2340/5005] Time 0.214 (0.224) Data 0.043 (0.073) Loss 2.9947 (3.0393) Prec@1 35.938 (34.633) Prec@5 61.719 (60.188)
Epoch: [11][2350/5005] Time 0.199 (0.224) Data 0.099 (0.073) Loss 2.9673 (3.0391) Prec@1 33.594 (34.638) Prec@5 61.719 (60.192)
Epoch: [11][2360/5005] Time 0.420 (0.224) Data 0.342 (0.073) Loss 2.9850 (3.0391) Prec@1 36.719 (34.642) Prec@5 58.594 (60.194)
Epoch: [11][2370/5005] Time 0.199 (0.224) Data 0.048 (0.073) Loss 2.9272 (3.0391) Prec@1 33.984 (34.642) Prec@5 62.891 (60.193)
Epoch: [11][2380/5005] Time 0.208 (0.224) Data 0.042 (0.073) Loss 3.1622 (3.0390) Prec@1 31.641 (34.643) Prec@5 57.031 (60.192)
Epoch: [11][2390/5005] Time 0.193 (0.224) Data 0.045 (0.073) Loss 3.1325 (3.0390) Prec@1 31.250 (34.640) Prec@5 58.594 (60.193)
Epoch: [11][2400/5005] Time 0.204 (0.224) Data 0.040 (0.073) Loss 3.0613 (3.0390) Prec@1 32.812 (34.638) Prec@5 58.984 (60.192)
Epoch: [11][2410/5005] Time 0.388 (0.224) Data 0.308 (0.073) Loss 3.0368 (3.0391) Prec@1 33.594 (34.637) Prec@5 59.375 (60.190)
Epoch: [11][2420/5005] Time 0.200 (0.224) Data 0.052 (0.073) Loss 3.0615 (3.0388) Prec@1 36.719 (34.642) Prec@5 58.984 (60.198)
Epoch: [11][2430/5005] Time 0.208 (0.224) Data 0.087 (0.073) Loss 2.9729 (3.0389) Prec@1 38.672 (34.643) Prec@5 58.984 (60.194)
Epoch: [11][2440/5005] Time 0.203 (0.224) Data 0.043 (0.073) Loss 2.8194 (3.0389) Prec@1 41.406 (34.647) Prec@5 62.109 (60.196)
Epoch: [11][2450/5005] Time 0.201 (0.224) Data 0.047 (0.073) Loss 2.9273 (3.0388) Prec@1 37.500 (34.650) Prec@5 60.547 (60.198)
Epoch: [11][2460/5005] Time 0.303 (0.224) Data 0.221 (0.073) Loss 2.9805 (3.0387) Prec@1 36.328 (34.654) Prec@5 60.547 (60.197)
Epoch: [11][2470/5005] Time 0.199 (0.224) Data 0.047 (0.073) Loss 3.0097 (3.0387) Prec@1 37.500 (34.657) Prec@5 58.594 (60.197)
Epoch: [11][2480/5005] Time 0.211 (0.224) Data 0.044 (0.074) Loss 3.1619 (3.0388) Prec@1 36.328 (34.655) Prec@5 59.766 (60.199)
Epoch: [11][2490/5005] Time 0.203 (0.224) Data 0.041 (0.074) Loss 2.9562 (3.0386) Prec@1 35.547 (34.651) Prec@5 61.328 (60.206)
Epoch: [11][2500/5005] Time 0.202 (0.224) Data 0.044 (0.074) Loss 3.2144 (3.0386) Prec@1 33.203 (34.652) Prec@5 55.859 (60.206)
Epoch: [11][2510/5005] Time 0.195 (0.224) Data 0.044 (0.074) Loss 3.2390 (3.0388) Prec@1 30.859 (34.647) Prec@5 57.812 (60.204)
Epoch: [11][2520/5005] Time 0.196 (0.224) Data 0.052 (0.074) Loss 2.9515 (3.0386) Prec@1 34.375 (34.650) Prec@5 61.328 (60.205)
Epoch: [11][2530/5005] Time 0.215 (0.224) Data 0.046 (0.074) Loss 3.0939 (3.0384) Prec@1 34.375 (34.652) Prec@5 58.594 (60.207)
Epoch: [11][2540/5005] Time 0.202 (0.224) Data 0.051 (0.074) Loss 3.1091 (3.0383) Prec@1 28.516 (34.654) Prec@5 57.031 (60.209)
Epoch: [11][2550/5005] Time 0.199 (0.224) Data 0.046 (0.074) Loss 3.0460 (3.0383) Prec@1 31.250 (34.655) Prec@5 59.766 (60.211)
Epoch: [11][2560/5005] Time 0.205 (0.224) Data 0.045 (0.074) Loss 3.1260 (3.0384) Prec@1 33.203 (34.657) Prec@5 57.422 (60.214)
Epoch: [11][2570/5005] Time 0.407 (0.224) Data 0.327 (0.074) Loss 3.1716 (3.0385) Prec@1 33.984 (34.658) Prec@5 57.422 (60.215)
Epoch: [11][2580/5005] Time 0.207 (0.224) Data 0.069 (0.074) Loss 2.9866 (3.0389) Prec@1 33.203 (34.652) Prec@5 61.328 (60.212)
Epoch: [11][2590/5005] Time 0.199 (0.224) Data 0.050 (0.074) Loss 3.0955 (3.0386) Prec@1 33.203 (34.658) Prec@5 58.984 (60.215)
Epoch: [11][2600/5005] Time 0.199 (0.224) Data 0.045 (0.074) Loss 3.0922 (3.0387) Prec@1 32.812 (34.658) Prec@5 60.156 (60.213)
Epoch: [11][2610/5005] Time 0.204 (0.224) Data 0.041 (0.074) Loss 3.0820 (3.0383) Prec@1 32.812 (34.660) Prec@5 58.203 (60.218)
Epoch: [11][2620/5005] Time 0.204 (0.224) Data 0.045 (0.074) Loss 3.0268 (3.0383) Prec@1 32.422 (34.661) Prec@5 56.250 (60.217)
Epoch: [11][2630/5005] Time 0.203 (0.224) Data 0.044 (0.074) Loss 3.2559 (3.0386) Prec@1 28.906 (34.656) Prec@5 56.641 (60.208)
Epoch: [11][2640/5005] Time 0.206 (0.224) Data 0.042 (0.074) Loss 3.1953 (3.0388) Prec@1 35.156 (34.654) Prec@5 53.516 (60.204)
Epoch: [11][2650/5005] Time 0.198 (0.224) Data 0.048 (0.074) Loss 3.2011 (3.0388) Prec@1 31.641 (34.652) Prec@5 53.125 (60.204)
Epoch: [11][2660/5005] Time 0.201 (0.224) Data 0.047 (0.074) Loss 3.0833 (3.0389) Prec@1 30.469 (34.650) Prec@5 57.812 (60.202)
Epoch: [11][2670/5005] Time 0.383 (0.224) Data 0.300 (0.074) Loss 2.6793 (3.0386) Prec@1 41.016 (34.657) Prec@5 65.234 (60.204)
Epoch: [11][2680/5005] Time 0.204 (0.224) Data 0.050 (0.074) Loss 2.9092 (3.0387) Prec@1 37.109 (34.649) Prec@5 63.672 (60.201)
Epoch: [11][2690/5005] Time 0.199 (0.224) Data 0.040 (0.074) Loss 2.8667 (3.0385) Prec@1 40.625 (34.653) Prec@5 62.109 (60.205)
Epoch: [11][2700/5005] Time 0.848 (0.224) Data 0.755 (0.074) Loss 2.9496 (3.0386) Prec@1 34.766 (34.653) Prec@5 58.594 (60.201)
Epoch: [11][2710/5005] Time 0.473 (0.224) Data 0.383 (0.074) Loss 2.9268 (3.0388) Prec@1 36.719 (34.647) Prec@5 61.328 (60.197)
Epoch: [11][2720/5005] Time 0.206 (0.224) Data 0.053 (0.074) Loss 3.0249 (3.0387) Prec@1 32.422 (34.647) Prec@5 64.844 (60.203)
Epoch: [11][2730/5005] Time 0.199 (0.224) Data 0.043 (0.074) Loss 3.1689 (3.0386) Prec@1 30.078 (34.647) Prec@5 58.984 (60.206)
Epoch: [11][2740/5005] Time 0.199 (0.224) Data 0.039 (0.074) Loss 2.9188 (3.0385) Prec@1 37.109 (34.648) Prec@5 59.375 (60.210)
Epoch: [11][2750/5005] Time 0.200 (0.224) Data 0.044 (0.074) Loss 2.9935 (3.0382) Prec@1 35.156 (34.657) Prec@5 59.766 (60.215)
Epoch: [11][2760/5005] Time 0.205 (0.224) Data 0.047 (0.074) Loss 3.0762 (3.0381) Prec@1 35.938 (34.658) Prec@5 61.719 (60.216)
Epoch: [11][2770/5005] Time 0.205 (0.224) Data 0.079 (0.074) Loss 2.9303 (3.0382) Prec@1 35.938 (34.656) Prec@5 60.938 (60.214)
Epoch: [11][2780/5005] Time 0.204 (0.224) Data 0.038 (0.074) Loss 3.1338 (3.0380) Prec@1 32.812 (34.661) Prec@5 58.203 (60.218)
Epoch: [11][2790/5005] Time 0.374 (0.224) Data 0.289 (0.074) Loss 3.3648 (3.0382) Prec@1 30.469 (34.660) Prec@5 52.734 (60.213)
Epoch: [11][2800/5005] Time 0.192 (0.224) Data 0.092 (0.074) Loss 2.7168 (3.0380) Prec@1 41.797 (34.665) Prec@5 65.625 (60.214)
Epoch: [11][2810/5005] Time 0.198 (0.224) Data 0.047 (0.074) Loss 3.0923 (3.0381) Prec@1 35.938 (34.664) Prec@5 61.328 (60.213)
Epoch: [11][2820/5005] Time 0.196 (0.224) Data 0.064 (0.074) Loss 2.7477 (3.0380) Prec@1 34.375 (34.660) Prec@5 63.281 (60.212)
Epoch: [11][2830/5005] Time 0.195 (0.224) Data 0.053 (0.074) Loss 3.2143 (3.0382) Prec@1 32.031 (34.658) Prec@5 58.203 (60.210)
Epoch: [11][2840/5005] Time 0.203 (0.224) Data 0.044 (0.074) Loss 2.9666 (3.0382) Prec@1 35.938 (34.662) Prec@5 62.891 (60.213)
Epoch: [11][2850/5005] Time 0.698 (0.224) Data 0.611 (0.074) Loss 3.0400 (3.0380) Prec@1 38.672 (34.667) Prec@5 58.984 (60.215)
Epoch: [11][2860/5005] Time 0.194 (0.224) Data 0.052 (0.074) Loss 3.0194 (3.0382) Prec@1 36.328 (34.667) Prec@5 60.156 (60.214)
Epoch: [11][2870/5005] Time 0.215 (0.224) Data 0.043 (0.074) Loss 2.8751 (3.0379) Prec@1 36.328 (34.671) Prec@5 62.891 (60.220)
Epoch: [11][2880/5005] Time 0.212 (0.224) Data 0.045 (0.074) Loss 2.9831 (3.0379) Prec@1 35.156 (34.670) Prec@5 60.938 (60.219)
Epoch: [11][2890/5005] Time 0.202 (0.224) Data 0.043 (0.074) Loss 3.0348 (3.0379) Prec@1 35.156 (34.673) Prec@5 59.375 (60.222)
Epoch: [11][2900/5005] Time 0.213 (0.224) Data 0.045 (0.074) Loss 2.7727 (3.0377) Prec@1 36.328 (34.678) Prec@5 66.406 (60.230)
Epoch: [11][2910/5005] Time 0.195 (0.224) Data 0.054 (0.074) Loss 3.0345 (3.0378) Prec@1 33.984 (34.679) Prec@5 60.156 (60.229)
Epoch: [11][2920/5005] Time 0.205 (0.224) Data 0.041 (0.074) Loss 3.0794 (3.0379) Prec@1 32.031 (34.676) Prec@5 58.984 (60.227)
Epoch: [11][2930/5005] Time 0.203 (0.224) Data 0.045 (0.074) Loss 3.3601 (3.0379) Prec@1 26.953 (34.677) Prec@5 50.781 (60.221)
Epoch: [11][2940/5005] Time 0.211 (0.224) Data 0.047 (0.074) Loss 3.0888 (3.0379) Prec@1 32.812 (34.674) Prec@5 59.766 (60.223)
Epoch: [11][2950/5005] Time 0.204 (0.224) Data 0.057 (0.074) Loss 3.3533 (3.0378) Prec@1 30.469 (34.675) Prec@5 54.688 (60.222)
Epoch: [11][2960/5005] Time 0.250 (0.224) Data 0.166 (0.074) Loss 3.0625 (3.0377) Prec@1 32.422 (34.676) Prec@5 59.375 (60.220)
Epoch: [11][2970/5005] Time 0.186 (0.224) Data 0.060 (0.074) Loss 3.1377 (3.0377) Prec@1 30.078 (34.675) Prec@5 57.031 (60.221)
Epoch: [11][2980/5005] Time 0.200 (0.224) Data 0.039 (0.074) Loss 3.2571 (3.0379) Prec@1 28.125 (34.670) Prec@5 57.031 (60.220)
Epoch: [11][2990/5005] Time 0.198 (0.224) Data 0.049 (0.074) Loss 2.8628 (3.0378) Prec@1 35.938 (34.670) Prec@5 62.500 (60.220)
Epoch: [11][3000/5005] Time 0.195 (0.224) Data 0.041 (0.075) Loss 2.9831 (3.0376) Prec@1 34.766 (34.672) Prec@5 61.719 (60.223)
Epoch: [11][3010/5005] Time 0.209 (0.224) Data 0.053 (0.074) Loss 3.2021 (3.0378) Prec@1 35.156 (34.670) Prec@5 57.812 (60.218)
Epoch: [11][3020/5005] Time 0.203 (0.224) Data 0.041 (0.074) Loss 2.9327 (3.0380) Prec@1 33.984 (34.671) Prec@5 61.328 (60.213)
Epoch: [11][3030/5005] Time 0.208 (0.224) Data 0.043 (0.074) Loss 3.1079 (3.0381) Prec@1 32.422 (34.669) Prec@5 58.594 (60.214)
Epoch: [11][3040/5005] Time 0.304 (0.224) Data 0.223 (0.074) Loss 2.9225 (3.0382) Prec@1 35.938 (34.669) Prec@5 62.109 (60.214)
Epoch: [11][3050/5005] Time 0.195 (0.224) Data 0.051 (0.074) Loss 3.1166 (3.0382) Prec@1 33.594 (34.668) Prec@5 57.031 (60.214)
Epoch: [11][3060/5005] Time 0.197 (0.224) Data 0.044 (0.074) Loss 2.9223 (3.0380) Prec@1 37.109 (34.669) Prec@5 61.719 (60.215)
Epoch: [11][3070/5005] Time 0.203 (0.224) Data 0.043 (0.074) Loss 3.1305 (3.0382) Prec@1 34.375 (34.666) Prec@5 55.859 (60.211)
Epoch: [11][3080/5005] Time 0.611 (0.224) Data 0.530 (0.075) Loss 2.9248 (3.0381) Prec@1 38.672 (34.664) Prec@5 62.500 (60.212)
Epoch: [11][3090/5005] Time 0.199 (0.224) Data 0.048 (0.074) Loss 3.4063 (3.0382) Prec@1 28.516 (34.663) Prec@5 55.859 (60.210)
Epoch: [11][3100/5005] Time 0.201 (0.224) Data 0.048 (0.074) Loss 3.0797 (3.0381) Prec@1 32.031 (34.664) Prec@5 60.156 (60.211)
Epoch: [11][3110/5005] Time 0.201 (0.224) Data 0.090 (0.074) Loss 2.7957 (3.0380) Prec@1 37.109 (34.663) Prec@5 64.062 (60.209)
Epoch: [11][3120/5005] Time 0.330 (0.224) Data 0.248 (0.075) Loss 3.1701 (3.0379) Prec@1 31.250 (34.664) Prec@5 57.031 (60.212)
Epoch: [11][3130/5005] Time 0.195 (0.224) Data 0.080 (0.075) Loss 3.1253 (3.0378) Prec@1 32.812 (34.669) Prec@5 56.641 (60.213)
Epoch: [11][3140/5005] Time 0.196 (0.224) Data 0.049 (0.075) Loss 2.7417 (3.0376) Prec@1 41.797 (34.677) Prec@5 64.062 (60.213)
Epoch: [11][3150/5005] Time 0.186 (0.224) Data 0.058 (0.075) Loss 2.9808 (3.0374) Prec@1 34.375 (34.681) Prec@5 61.719 (60.218)
Epoch: [11][3160/5005] Time 0.201 (0.224) Data 0.040 (0.075) Loss 2.7840 (3.0375) Prec@1 40.625 (34.685) Prec@5 65.234 (60.218)
Epoch: [11][3170/5005] Time 0.249 (0.224) Data 0.161 (0.075) Loss 3.0363 (3.0375) Prec@1 31.250 (34.684) Prec@5 62.500 (60.216)
Epoch: [11][3180/5005] Time 0.212 (0.224) Data 0.119 (0.075) Loss 2.8334 (3.0374) Prec@1 40.625 (34.686) Prec@5 65.625 (60.219)
Epoch: [11][3190/5005] Time 0.203 (0.224) Data 0.053 (0.075) Loss 2.9867 (3.0375) Prec@1 35.547 (34.686) Prec@5 62.500 (60.220)
Epoch: [11][3200/5005] Time 0.203 (0.224) Data 0.046 (0.075) Loss 3.1065 (3.0375) Prec@1 33.594 (34.689) Prec@5 61.719 (60.220)
Epoch: [11][3210/5005] Time 0.195 (0.224) Data 0.038 (0.075) Loss 3.1102 (3.0375) Prec@1 35.938 (34.690) Prec@5 60.156 (60.221)
Epoch: [11][3220/5005] Time 0.218 (0.224) Data 0.138 (0.075) Loss 3.2403 (3.0377) Prec@1 32.812 (34.692) Prec@5 54.688 (60.222)
Epoch: [11][3230/5005] Time 0.202 (0.224) Data 0.048 (0.075) Loss 3.0166 (3.0376) Prec@1 34.375 (34.691) Prec@5 60.156 (60.224)
Epoch: [11][3240/5005] Time 0.206 (0.224) Data 0.044 (0.075) Loss 3.3134 (3.0379) Prec@1 30.469 (34.685) Prec@5 56.641 (60.217)
Epoch: [11][3250/5005] Time 0.194 (0.224) Data 0.053 (0.075) Loss 3.0447 (3.0380) Prec@1 38.672 (34.684) Prec@5 61.328 (60.218)
Epoch: [11][3260/5005] Time 0.198 (0.224) Data 0.047 (0.075) Loss 2.8542 (3.0381) Prec@1 38.672 (34.685) Prec@5 62.891 (60.215)
Epoch: [11][3270/5005] Time 0.191 (0.225) Data 0.043 (0.075) Loss 3.2299 (3.0380) Prec@1 35.938 (34.688) Prec@5 56.641 (60.215)
Epoch: [11][3280/5005] Time 0.194 (0.224) Data 0.043 (0.075) Loss 2.9485 (3.0381) Prec@1 37.500 (34.686) Prec@5 60.156 (60.213)
Epoch: [11][3290/5005] Time 0.212 (0.224) Data 0.043 (0.075) Loss 3.0492 (3.0380) Prec@1 33.203 (34.682) Prec@5 60.938 (60.212)
Epoch: [11][3300/5005] Time 0.429 (0.224) Data 0.348 (0.075) Loss 2.9886 (3.0379) Prec@1 32.031 (34.683) Prec@5 61.719 (60.212)
Epoch: [11][3310/5005] Time 0.207 (0.224) Data 0.040 (0.075) Loss 2.8313 (3.0379) Prec@1 39.453 (34.686) Prec@5 63.672 (60.212)
Epoch: [11][3320/5005] Time 0.202 (0.224) Data 0.056 (0.075) Loss 3.1022 (3.0379) Prec@1 34.766 (34.689) Prec@5 57.422 (60.212)
Epoch: [11][3330/5005] Time 0.292 (0.224) Data 0.206 (0.075) Loss 3.1401 (3.0379) Prec@1 30.859 (34.686) Prec@5 54.297 (60.211)
Epoch: [11][3340/5005] Time 0.207 (0.224) Data 0.045 (0.075) Loss 3.1578 (3.0379) Prec@1 35.938 (34.687) Prec@5 58.594 (60.211)
Epoch: [11][3350/5005] Time 0.210 (0.224) Data 0.052 (0.075) Loss 3.2361 (3.0381) Prec@1 34.375 (34.684) Prec@5 55.859 (60.208)
Epoch: [11][3360/5005] Time 0.210 (0.224) Data 0.045 (0.075) Loss 2.9795 (3.0381) Prec@1 37.891 (34.685) Prec@5 62.891 (60.208)
Epoch: [11][3370/5005] Time 0.208 (0.224) Data 0.043 (0.075) Loss 3.0587 (3.0382) Prec@1 33.203 (34.684) Prec@5 56.250 (60.205)
Epoch: [11][3380/5005] Time 0.209 (0.224) Data 0.080 (0.075) Loss 2.8325 (3.0380) Prec@1 36.328 (34.681) Prec@5 61.719 (60.208)
Epoch: [11][3390/5005] Time 0.203 (0.224) Data 0.039 (0.075) Loss 2.9417 (3.0382) Prec@1 35.938 (34.674) Prec@5 65.234 (60.204)
Epoch: [11][3400/5005] Time 0.207 (0.224) Data 0.042 (0.075) Loss 3.0368 (3.0384) Prec@1 34.375 (34.675) Prec@5 58.984 (60.200)
Epoch: [11][3410/5005] Time 0.202 (0.224) Data 0.044 (0.075) Loss 3.0632 (3.0382) Prec@1 34.375 (34.677) Prec@5 59.766 (60.203)
Epoch: [11][3420/5005] Time 0.377 (0.224) Data 0.300 (0.075) Loss 3.0836 (3.0383) Prec@1 33.594 (34.676) Prec@5 60.156 (60.202)
Epoch: [11][3430/5005] Time 0.198 (0.224) Data 0.050 (0.075) Loss 2.9431 (3.0382) Prec@1 37.500 (34.677) Prec@5 62.500 (60.204)
Epoch: [11][3440/5005] Time 0.201 (0.224) Data 0.042 (0.075) Loss 2.9958 (3.0381) Prec@1 35.156 (34.678) Prec@5 62.109 (60.206)
Epoch: [11][3450/5005] Time 0.196 (0.224) Data 0.103 (0.076) Loss 2.8498 (3.0381) Prec@1 35.938 (34.682) Prec@5 64.062 (60.209)
Epoch: [11][3460/5005] Time 0.202 (0.224) Data 0.039 (0.076) Loss 2.9589 (3.0381) Prec@1 34.375 (34.682) Prec@5 61.328 (60.205)
Epoch: [11][3470/5005] Time 0.206 (0.224) Data 0.044 (0.076) Loss 2.8138 (3.0379) Prec@1 39.844 (34.687) Prec@5 65.234 (60.210)
Epoch: [11][3480/5005] Time 0.202 (0.224) Data 0.090 (0.076) Loss 3.1245 (3.0378) Prec@1 34.375 (34.688) Prec@5 57.422 (60.214)
Epoch: [11][3490/5005] Time 0.210 (0.224) Data 0.051 (0.076) Loss 3.1502 (3.0379) Prec@1 29.688 (34.684) Prec@5 58.594 (60.213)
Epoch: [11][3500/5005] Time 0.204 (0.224) Data 0.040 (0.076) Loss 2.9395 (3.0379) Prec@1 35.547 (34.684) Prec@5 62.500 (60.212)
Epoch: [11][3510/5005] Time 0.201 (0.224) Data 0.049 (0.076) Loss 2.9786 (3.0378) Prec@1 34.766 (34.686) Prec@5 61.328 (60.213)
Epoch: [11][3520/5005] Time 0.194 (0.224) Data 0.044 (0.076) Loss 3.2348 (3.0378) Prec@1 35.547 (34.686) Prec@5 58.594 (60.212)
Epoch: [11][3530/5005] Time 0.198 (0.224) Data 0.051 (0.076) Loss 2.9544 (3.0376) Prec@1 40.625 (34.692) Prec@5 64.062 (60.216)
Epoch: [11][3540/5005] Time 0.207 (0.224) Data 0.045 (0.076) Loss 2.8927 (3.0373) Prec@1 35.547 (34.695) Prec@5 63.281 (60.222)
Epoch: [11][3550/5005] Time 0.196 (0.224) Data 0.051 (0.076) Loss 3.0373 (3.0372) Prec@1 33.203 (34.698) Prec@5 60.938 (60.224)
Epoch: [11][3560/5005] Time 0.198 (0.224) Data 0.048 (0.076) Loss 3.1204 (3.0372) Prec@1 34.375 (34.699) Prec@5 57.812 (60.224)
Epoch: [11][3570/5005] Time 0.201 (0.224) Data 0.048 (0.076) Loss 3.0975 (3.0371) Prec@1 33.984 (34.699) Prec@5 60.938 (60.225)
Epoch: [11][3580/5005] Time 0.198 (0.224) Data 0.044 (0.076) Loss 2.9932 (3.0372) Prec@1 33.203 (34.700) Prec@5 62.500 (60.223)
Epoch: [11][3590/5005] Time 0.202 (0.224) Data 0.047 (0.076) Loss 3.1518 (3.0370) Prec@1 35.156 (34.701) Prec@5 57.422 (60.228)
Epoch: [11][3600/5005] Time 0.201 (0.224) Data 0.045 (0.076) Loss 3.0822 (3.0368) Prec@1 36.328 (34.706) Prec@5 58.984 (60.228)
Epoch: [11][3610/5005] Time 0.204 (0.224) Data 0.062 (0.076) Loss 2.9851 (3.0368) Prec@1 37.500 (34.709) Prec@5 60.547 (60.229)
Epoch: [11][3620/5005] Time 0.201 (0.224) Data 0.054 (0.076) Loss 3.1816 (3.0366) Prec@1 33.594 (34.715) Prec@5 59.375 (60.232)
Epoch: [11][3630/5005] Time 0.211 (0.224) Data 0.044 (0.076) Loss 3.3931 (3.0365) Prec@1 30.859 (34.718) Prec@5 58.203 (60.236)
Epoch: [11][3640/5005] Time 0.198 (0.224) Data 0.059 (0.076) Loss 3.0499 (3.0365) Prec@1 32.031 (34.718) Prec@5 59.375 (60.236)
Epoch: [11][3650/5005] Time 0.209 (0.224) Data 0.054 (0.076) Loss 2.8389 (3.0365) Prec@1 38.281 (34.714) Prec@5 67.578 (60.237)
Epoch: [11][3660/5005] Time 0.205 (0.224) Data 0.042 (0.076) Loss 3.0216 (3.0364) Prec@1 35.156 (34.714) Prec@5 63.281 (60.239)
Epoch: [11][3670/5005] Time 0.203 (0.224) Data 0.043 (0.076) Loss 3.1391 (3.0365) Prec@1 33.203 (34.713) Prec@5 60.156 (60.240)
Epoch: [11][3680/5005] Time 0.213 (0.224) Data 0.045 (0.076) Loss 2.8846 (3.0365) Prec@1 33.984 (34.710) Prec@5 62.891 (60.238)
Epoch: [11][3690/5005] Time 0.307 (0.224) Data 0.227 (0.076) Loss 2.9484 (3.0365) Prec@1 36.328 (34.712) Prec@5 63.672 (60.239)
Epoch: [11][3700/5005] Time 0.388 (0.224) Data 0.303 (0.076) Loss 2.9807 (3.0366) Prec@1 36.719 (34.708) Prec@5 66.797 (60.239)
Epoch: [11][3710/5005] Time 0.197 (0.224) Data 0.044 (0.076) Loss 2.9409 (3.0368) Prec@1 36.328 (34.708) Prec@5 64.062 (60.236)
Epoch: [11][3720/5005] Time 0.191 (0.224) Data 0.047 (0.076) Loss 3.2852 (3.0367) Prec@1 32.031 (34.711) Prec@5 54.688 (60.234)
Epoch: [11][3730/5005] Time 0.205 (0.224) Data 0.045 (0.076) Loss 2.9695 (3.0367) Prec@1 38.672 (34.712) Prec@5 62.500 (60.235)
Epoch: [11][3740/5005] Time 0.846 (0.224) Data 0.763 (0.076) Loss 2.9853 (3.0364) Prec@1 34.766 (34.713) Prec@5 61.328 (60.239)
Epoch: [11][3750/5005] Time 0.199 (0.224) Data 0.058 (0.076) Loss 2.8906 (3.0366) Prec@1 34.766 (34.709) Prec@5 60.547 (60.237)
Epoch: [11][3760/5005] Time 0.199 (0.224) Data 0.040 (0.076) Loss 3.1814 (3.0367) Prec@1 33.594 (34.705) Prec@5 58.594 (60.235)
Epoch: [11][3770/5005] Time 0.206 (0.224) Data 0.048 (0.076) Loss 3.1109 (3.0366) Prec@1 34.766 (34.704) Prec@5 56.641 (60.237)
Epoch: [11][3780/5005] Time 0.195 (0.224) Data 0.049 (0.076) Loss 3.0008 (3.0365) Prec@1 37.891 (34.706) Prec@5 59.375 (60.240)
Epoch: [11][3790/5005] Time 0.194 (0.224) Data 0.055 (0.076) Loss 3.0953 (3.0365) Prec@1 35.938 (34.707) Prec@5 60.156 (60.238)
Epoch: [11][3800/5005] Time 0.202 (0.224) Data 0.041 (0.076) Loss 2.9285 (3.0366) Prec@1 35.156 (34.706) Prec@5 61.719 (60.237)
Epoch: [11][3810/5005] Time 0.198 (0.225) Data 0.042 (0.076) Loss 3.0288 (3.0367) Prec@1 33.984 (34.702) Prec@5 62.109 (60.238)
Epoch: [11][3820/5005] Time 0.204 (0.225) Data 0.041 (0.076) Loss 2.8535 (3.0367) Prec@1 37.891 (34.703) Prec@5 64.844 (60.239)
Epoch: [11][3830/5005] Time 0.207 (0.225) Data 0.049 (0.076) Loss 3.0686 (3.0366) Prec@1 32.812 (34.705) Prec@5 59.375 (60.240)
Epoch: [11][3840/5005] Time 0.207 (0.225) Data 0.048 (0.076) Loss 3.2294 (3.0367) Prec@1 30.859 (34.704) Prec@5 53.906 (60.237)
Epoch: [11][3850/5005] Time 0.202 (0.225) Data 0.046 (0.076) Loss 3.0226 (3.0367) Prec@1 35.156 (34.704) Prec@5 63.281 (60.239)
Epoch: [11][3860/5005] Time 0.197 (0.225) Data 0.054 (0.076) Loss 2.8519 (3.0367) Prec@1 42.578 (34.709) Prec@5 62.500 (60.240)
Epoch: [11][3870/5005] Time 0.205 (0.224) Data 0.047 (0.076) Loss 2.9753 (3.0367) Prec@1 33.594 (34.706) Prec@5 58.984 (60.236)
Epoch: [11][3880/5005] Time 0.207 (0.224) Data 0.054 (0.076) Loss 2.9259 (3.0367) Prec@1 37.500 (34.705) Prec@5 62.109 (60.236)
Epoch: [11][3890/5005] Time 0.214 (0.224) Data 0.119 (0.076) Loss 3.1967 (3.0368) Prec@1 31.250 (34.701) Prec@5 58.203 (60.236)
Epoch: [11][3900/5005] Time 0.195 (0.225) Data 0.039 (0.077) Loss 3.2993 (3.0369) Prec@1 29.688 (34.699) Prec@5 57.812 (60.234)
Epoch: [11][3910/5005] Time 0.205 (0.224) Data 0.043 (0.076) Loss 2.9584 (3.0369) Prec@1 32.031 (34.698) Prec@5 60.938 (60.235)
Epoch: [11][3920/5005] Time 0.282 (0.224) Data 0.199 (0.076) Loss 2.9461 (3.0368) Prec@1 39.062 (34.698) Prec@5 58.984 (60.237)
Epoch: [11][3930/5005] Time 0.196 (0.224) Data 0.047 (0.077) Loss 2.9335 (3.0367) Prec@1 37.500 (34.698) Prec@5 60.547 (60.239)
Epoch: [11][3940/5005] Time 0.206 (0.224) Data 0.042 (0.077) Loss 2.9929 (3.0366) Prec@1 35.547 (34.698) Prec@5 63.672 (60.241)
Epoch: [11][3950/5005] Time 0.207 (0.224) Data 0.044 (0.077) Loss 3.0574 (3.0366) Prec@1 36.719 (34.701) Prec@5 64.453 (60.246)
Epoch: [11][3960/5005] Time 0.213 (0.224) Data 0.040 (0.077) Loss 2.7286 (3.0366) Prec@1 38.281 (34.699) Prec@5 66.016 (60.245)
Epoch: [11][3970/5005] Time 0.204 (0.224) Data 0.048 (0.076) Loss 3.1782 (3.0365) Prec@1 33.594 (34.700) Prec@5 57.812 (60.245)
Epoch: [11][3980/5005] Time 0.207 (0.224) Data 0.042 (0.076) Loss 2.8095 (3.0364) Prec@1 37.500 (34.699) Prec@5 62.500 (60.248)
Epoch: [11][3990/5005] Time 0.213 (0.224) Data 0.041 (0.076) Loss 3.2179 (3.0366) Prec@1 36.328 (34.698) Prec@5 56.641 (60.247)
Epoch: [11][4000/5005] Time 0.199 (0.224) Data 0.049 (0.077) Loss 2.9488 (3.0365) Prec@1 36.719 (34.699) Prec@5 62.500 (60.247)
Epoch: [11][4010/5005] Time 0.201 (0.224) Data 0.049 (0.076) Loss 3.0550 (3.0363) Prec@1 34.375 (34.702) Prec@5 58.594 (60.252)
Epoch: [11][4020/5005] Time 0.185 (0.224) Data 0.048 (0.077) Loss 3.1466 (3.0363) Prec@1 33.984 (34.700) Prec@5 57.422 (60.250)
Epoch: [11][4030/5005] Time 0.458 (0.224) Data 0.371 (0.077) Loss 3.4050 (3.0366) Prec@1 32.031 (34.698) Prec@5 55.859 (60.247)
Epoch: [11][4040/5005] Time 0.211 (0.224) Data 0.051 (0.077) Loss 3.0842 (3.0367) Prec@1 35.938 (34.697) Prec@5 60.938 (60.247)
Epoch: [11][4050/5005] Time 0.202 (0.224) Data 0.047 (0.077) Loss 3.1704 (3.0366) Prec@1 34.766 (34.698) Prec@5 56.641 (60.246)
Epoch: [11][4060/5005] Time 0.212 (0.224) Data 0.046 (0.077) Loss 2.9664 (3.0367) Prec@1 36.719 (34.698) Prec@5 59.766 (60.246)
Epoch: [11][4070/5005] Time 0.644 (0.225) Data 0.556 (0.077) Loss 3.2293 (3.0368) Prec@1 32.812 (34.696) Prec@5 62.109 (60.247)
Epoch: [11][4080/5005] Time 0.189 (0.225) Data 0.042 (0.077) Loss 3.0211 (3.0368) Prec@1 32.422 (34.695) Prec@5 61.328 (60.248)
Epoch: [11][4090/5005] Time 0.204 (0.225) Data 0.045 (0.077) Loss 3.0867 (3.0368) Prec@1 31.641 (34.694) Prec@5 60.547 (60.248)
Epoch: [11][4100/5005] Time 0.205 (0.224) Data 0.045 (0.077) Loss 2.9717 (3.0368) Prec@1 33.203 (34.691) Prec@5 60.938 (60.248)
Epoch: [11][4110/5005] Time 0.205 (0.224) Data 0.042 (0.077) Loss 3.3279 (3.0368) Prec@1 30.469 (34.689) Prec@5 56.250 (60.248)
Epoch: [11][4120/5005] Time 0.198 (0.224) Data 0.048 (0.077) Loss 3.0753 (3.0367) Prec@1 35.156 (34.690) Prec@5 60.938 (60.249)
Epoch: [11][4130/5005] Time 0.192 (0.224) Data 0.095 (0.077) Loss 3.1903 (3.0366) Prec@1 30.078 (34.692) Prec@5 57.422 (60.248)
Epoch: [11][4140/5005] Time 0.196 (0.224) Data 0.055 (0.077) Loss 3.0347 (3.0366) Prec@1 33.594 (34.693) Prec@5 59.375 (60.247)
Epoch: [11][4150/5005] Time 0.211 (0.224) Data 0.047 (0.077) Loss 3.3098 (3.0367) Prec@1 28.906 (34.691) Prec@5 57.031 (60.248)
Epoch: [11][4160/5005] Time 0.205 (0.224) Data 0.055 (0.077) Loss 2.9417 (3.0369) Prec@1 37.109 (34.687) Prec@5 66.016 (60.247)
Epoch: [11][4170/5005] Time 0.322 (0.224) Data 0.240 (0.077) Loss 3.0528 (3.0367) Prec@1 32.422 (34.689) Prec@5 62.109 (60.251)
Epoch: [11][4180/5005] Time 0.201 (0.224) Data 0.050 (0.077) Loss 2.8939 (3.0365) Prec@1 38.672 (34.690) Prec@5 66.016 (60.256)
Epoch: [11][4190/5005] Time 0.208 (0.224) Data 0.059 (0.077) Loss 2.9584 (3.0366) Prec@1 37.500 (34.692) Prec@5 58.594 (60.256)
Epoch: [11][4200/5005] Time 0.832 (0.225) Data 0.741 (0.077) Loss 3.0387 (3.0366) Prec@1 40.625 (34.695) Prec@5 59.375 (60.254)
Epoch: [11][4210/5005] Time 0.212 (0.224) Data 0.042 (0.077) Loss 2.9953 (3.0366) Prec@1 31.641 (34.698) Prec@5 61.719 (60.255)
Epoch: [11][4220/5005] Time 0.192 (0.224) Data 0.039 (0.077) Loss 3.1227 (3.0367) Prec@1 31.250 (34.699) Prec@5 58.594 (60.252)
Epoch: [11][4230/5005] Time 0.198 (0.224) Data 0.040 (0.077) Loss 3.0114 (3.0367) Prec@1 35.547 (34.700) Prec@5 60.938 (60.249)
Epoch: [11][4240/5005] Time 0.196 (0.224) Data 0.044 (0.077) Loss 2.7553 (3.0368) Prec@1 36.719 (34.698) Prec@5 66.406 (60.246)
Epoch: [11][4250/5005] Time 0.207 (0.224) Data 0.044 (0.077) Loss 2.9322 (3.0367) Prec@1 34.766 (34.699) Prec@5 62.500 (60.248)
Epoch: [11][4260/5005] Time 0.295 (0.224) Data 0.211 (0.077) Loss 2.9720 (3.0367) Prec@1 31.250 (34.696) Prec@5 58.594 (60.246)
Epoch: [11][4270/5005] Time 0.214 (0.224) Data 0.050 (0.077) Loss 3.3252 (3.0368) Prec@1 32.812 (34.695) Prec@5 55.469 (60.245)
Epoch: [11][4280/5005] Time 0.199 (0.224) Data 0.048 (0.077) Loss 3.1659 (3.0368) Prec@1 29.688 (34.695) Prec@5 57.422 (60.246)
Epoch: [11][4290/5005] Time 0.352 (0.224) Data 0.275 (0.077) Loss 3.2182 (3.0368) Prec@1 32.812 (34.695) Prec@5 55.859 (60.243)
Epoch: [11][4300/5005] Time 0.198 (0.224) Data 0.042 (0.077) Loss 2.7253 (3.0366) Prec@1 37.891 (34.697) Prec@5 68.359 (60.246)
Epoch: [11][4310/5005] Time 0.200 (0.224) Data 0.044 (0.077) Loss 2.9543 (3.0366) Prec@1 33.203 (34.697) Prec@5 60.547 (60.247)
Epoch: [11][4320/5005] Time 0.200 (0.224) Data 0.044 (0.077) Loss 2.9197 (3.0366) Prec@1 35.547 (34.695) Prec@5 64.062 (60.248)
Epoch: [11][4330/5005] Time 0.201 (0.225) Data 0.048 (0.077) Loss 3.0980 (3.0366) Prec@1 30.859 (34.695) Prec@5 58.984 (60.246)
Epoch: [11][4340/5005] Time 0.216 (0.224) Data 0.048 (0.077) Loss 3.0044 (3.0367) Prec@1 32.812 (34.695) Prec@5 58.984 (60.247)
Epoch: [11][4350/5005] Time 0.197 (0.224) Data 0.049 (0.077) Loss 3.0604 (3.0367) Prec@1 33.594 (34.694) Prec@5 59.375 (60.247)
Epoch: [11][4360/5005] Time 0.198 (0.225) Data 0.047 (0.077) Loss 2.9640 (3.0367) Prec@1 36.719 (34.694) Prec@5 63.672 (60.250)
Epoch: [11][4370/5005] Time 0.231 (0.225) Data 0.144 (0.077) Loss 3.0523 (3.0367) Prec@1 32.812 (34.696) Prec@5 60.938 (60.252)
Epoch: [11][4380/5005] Time 0.387 (0.225) Data 0.300 (0.078) Loss 3.1067 (3.0366) Prec@1 33.594 (34.697) Prec@5 58.594 (60.253)
Epoch: [11][4390/5005] Time 0.199 (0.225) Data 0.044 (0.078) Loss 3.0950 (3.0365) Prec@1 34.766 (34.702) Prec@5 59.766 (60.256)
Epoch: [11][4400/5005] Time 0.198 (0.225) Data 0.045 (0.078) Loss 2.8798 (3.0364) Prec@1 33.984 (34.701) Prec@5 61.719 (60.253)
Epoch: [11][4410/5005] Time 0.196 (0.225) Data 0.054 (0.078) Loss 3.0347 (3.0364) Prec@1 31.250 (34.700) Prec@5 64.453 (60.256)
Epoch: [11][4420/5005] Time 0.212 (0.224) Data 0.047 (0.077) Loss 2.6680 (3.0363) Prec@1 42.578 (34.699) Prec@5 64.453 (60.256)
Epoch: [11][4430/5005] Time 0.224 (0.224) Data 0.143 (0.077) Loss 3.1206 (3.0360) Prec@1 32.031 (34.705) Prec@5 59.375 (60.259)
Epoch: [11][4440/5005] Time 0.199 (0.224) Data 0.043 (0.077) Loss 3.0935 (3.0360) Prec@1 35.156 (34.705) Prec@5 62.500 (60.259)
Epoch: [11][4450/5005] Time 0.202 (0.224) Data 0.046 (0.077) Loss 2.8485 (3.0359) Prec@1 37.500 (34.706) Prec@5 63.281 (60.260)
Epoch: [11][4460/5005] Time 0.199 (0.224) Data 0.040 (0.077) Loss 3.0419 (3.0358) Prec@1 34.766 (34.708) Prec@5 57.812 (60.261)
Epoch: [11][4470/5005] Time 0.315 (0.224) Data 0.231 (0.077) Loss 2.9997 (3.0359) Prec@1 31.250 (34.705) Prec@5 60.547 (60.259)
Epoch: [11][4480/5005] Time 0.206 (0.224) Data 0.048 (0.078) Loss 2.7851 (3.0360) Prec@1 39.453 (34.703) Prec@5 64.844 (60.257)
Epoch: [11][4490/5005] Time 0.197 (0.224) Data 0.044 (0.078) Loss 3.0143 (3.0361) Prec@1 33.984 (34.698) Prec@5 60.547 (60.252)
Epoch: [11][4500/5005] Time 0.211 (0.224) Data 0.044 (0.078) Loss 2.8582 (3.0361) Prec@1 38.281 (34.698) Prec@5 60.547 (60.253)
Epoch: [11][4510/5005] Time 0.200 (0.224) Data 0.050 (0.078) Loss 2.9438 (3.0360) Prec@1 33.594 (34.696) Prec@5 62.891 (60.254)
Epoch: [11][4520/5005] Time 0.206 (0.225) Data 0.053 (0.078) Loss 2.9001 (3.0358) Prec@1 39.453 (34.699) Prec@5 67.969 (60.258)
Epoch: [11][4530/5005] Time 0.191 (0.225) Data 0.050 (0.078) Loss 2.9408 (3.0359) Prec@1 33.203 (34.698) Prec@5 61.719 (60.256)
Epoch: [11][4540/5005] Time 0.203 (0.225) Data 0.042 (0.078) Loss 3.2137 (3.0361) Prec@1 33.984 (34.695) Prec@5 60.938 (60.255)
Epoch: [11][4550/5005] Time 0.196 (0.225) Data 0.047 (0.078) Loss 3.1340 (3.0361) Prec@1 35.156 (34.694) Prec@5 58.203 (60.254)
Epoch: [11][4560/5005] Time 0.205 (0.225) Data 0.049 (0.078) Loss 3.0543 (3.0361) Prec@1 36.719 (34.694) Prec@5 61.328 (60.254)
Epoch: [11][4570/5005] Time 0.197 (0.225) Data 0.043 (0.078) Loss 3.1090 (3.0361) Prec@1 33.594 (34.693) Prec@5 60.938 (60.254)
Epoch: [11][4580/5005] Time 0.204 (0.225) Data 0.039 (0.078) Loss 3.1655 (3.0361) Prec@1 29.688 (34.693) Prec@5 56.250 (60.255)
Epoch: [11][4590/5005] Time 0.196 (0.224) Data 0.086 (0.078) Loss 2.8994 (3.0361) Prec@1 37.500 (34.693) Prec@5 62.109 (60.255)
Epoch: [11][4600/5005] Time 0.252 (0.225) Data 0.168 (0.078) Loss 2.8556 (3.0362) Prec@1 39.453 (34.693) Prec@5 62.500 (60.253)
Epoch: [11][4610/5005] Time 0.207 (0.225) Data 0.047 (0.078) Loss 2.7779 (3.0360) Prec@1 37.109 (34.697) Prec@5 65.625 (60.257)
Epoch: [11][4620/5005] Time 0.244 (0.225) Data 0.163 (0.078) Loss 2.7984 (3.0360) Prec@1 38.281 (34.698) Prec@5 63.281 (60.256)
Epoch: [11][4630/5005] Time 0.208 (0.225) Data 0.046 (0.078) Loss 2.8558 (3.0359) Prec@1 35.547 (34.698) Prec@5 62.891 (60.259)
Epoch: [11][4640/5005] Time 0.199 (0.224) Data 0.088 (0.078) Loss 3.1037 (3.0358) Prec@1 35.938 (34.699) Prec@5 57.422 (60.259)
Epoch: [11][4650/5005] Time 0.244 (0.225) Data 0.158 (0.078) Loss 2.9712 (3.0358) Prec@1 35.547 (34.701) Prec@5 57.031 (60.259)
Epoch: [11][4660/5005] Time 0.190 (0.225) Data 0.067 (0.078) Loss 3.2719 (3.0357) Prec@1 32.422 (34.703) Prec@5 55.078 (60.258)
Epoch: [11][4670/5005] Time 0.206 (0.225) Data 0.044 (0.078) Loss 3.0347 (3.0356) Prec@1 34.375 (34.704) Prec@5 62.109 (60.260)
Epoch: [11][4680/5005] Time 0.202 (0.225) Data 0.059 (0.078) Loss 2.8242 (3.0356) Prec@1 37.109 (34.705) Prec@5 64.453 (60.260)
Epoch: [11][4690/5005] Time 0.204 (0.225) Data 0.045 (0.078) Loss 3.0637 (3.0356) Prec@1 28.906 (34.705) Prec@5 61.328 (60.260)
Epoch: [11][4700/5005] Time 0.201 (0.225) Data 0.043 (0.078) Loss 2.9272 (3.0356) Prec@1 35.547 (34.708) Prec@5 63.672 (60.261)
Epoch: [11][4710/5005] Time 0.201 (0.225) Data 0.042 (0.078) Loss 3.0494 (3.0354) Prec@1 37.500 (34.709) Prec@5 61.328 (60.263)
Epoch: [11][4720/5005] Time 0.203 (0.225) Data 0.039 (0.078) Loss 2.8459 (3.0354) Prec@1 38.672 (34.709) Prec@5 67.188 (60.263)
Epoch: [11][4730/5005] Time 0.207 (0.225) Data 0.048 (0.078) Loss 2.9609 (3.0355) Prec@1 33.594 (34.706) Prec@5 60.938 (60.261)
Epoch: [11][4740/5005] Time 0.210 (0.225) Data 0.053 (0.078) Loss 3.0482 (3.0354) Prec@1 31.250 (34.708) Prec@5 60.547 (60.265)
Epoch: [11][4750/5005] Time 0.196 (0.225) Data 0.044 (0.078) Loss 3.0170 (3.0353) Prec@1 34.766 (34.709) Prec@5 62.891 (60.270)
Epoch: [11][4760/5005] Time 0.192 (0.224) Data 0.055 (0.078) Loss 3.3176 (3.0352) Prec@1 28.516 (34.711) Prec@5 54.297 (60.271)
Epoch: [11][4770/5005] Time 0.196 (0.225) Data 0.100 (0.078) Loss 2.9922 (3.0351) Prec@1 35.156 (34.712) Prec@5 62.500 (60.274)
Epoch: [11][4780/5005] Time 0.200 (0.225) Data 0.056 (0.078) Loss 3.1365 (3.0351) Prec@1 34.766 (34.713) Prec@5 58.594 (60.273)
Epoch: [11][4790/5005] Time 0.196 (0.225) Data 0.052 (0.078) Loss 3.3162 (3.0352) Prec@1 35.547 (34.716) Prec@5 57.422 (60.273)
Epoch: [11][4800/5005] Time 0.201 (0.225) Data 0.046 (0.078) Loss 3.0757 (3.0352) Prec@1 32.422 (34.713) Prec@5 60.547 (60.275)
Epoch: [11][4810/5005] Time 0.206 (0.225) Data 0.044 (0.078) Loss 3.1852 (3.0352) Prec@1 32.812 (34.712) Prec@5 55.469 (60.273)
Epoch: [11][4820/5005] Time 0.203 (0.225) Data 0.045 (0.078) Loss 3.2386 (3.0350) Prec@1 32.031 (34.715) Prec@5 54.297 (60.274)
Epoch: [11][4830/5005] Time 0.198 (0.225) Data 0.044 (0.078) Loss 3.0948 (3.0349) Prec@1 35.156 (34.718) Prec@5 60.547 (60.279)
Epoch: [11][4840/5005] Time 0.194 (0.225) Data 0.042 (0.078) Loss 2.6591 (3.0349) Prec@1 42.969 (34.719) Prec@5 66.797 (60.280)
Epoch: [11][4850/5005] Time 0.205 (0.225) Data 0.044 (0.078) Loss 3.1380 (3.0351) Prec@1 32.422 (34.717) Prec@5 56.641 (60.276)
Epoch: [11][4860/5005] Time 0.210 (0.225) Data 0.047 (0.078) Loss 3.2446 (3.0350) Prec@1 30.469 (34.717) Prec@5 58.594 (60.278)
Epoch: [11][4870/5005] Time 0.206 (0.225) Data 0.041 (0.078) Loss 2.9391 (3.0350) Prec@1 36.719 (34.719) Prec@5 60.547 (60.279)
Epoch: [11][4880/5005] Time 0.206 (0.225) Data 0.047 (0.078) Loss 2.9419 (3.0350) Prec@1 32.422 (34.717) Prec@5 62.891 (60.277)
Epoch: [11][4890/5005] Time 0.204 (0.225) Data 0.048 (0.078) Loss 2.9851 (3.0349) Prec@1 37.500 (34.719) Prec@5 61.328 (60.281)
Epoch: [11][4900/5005] Time 0.199 (0.225) Data 0.039 (0.078) Loss 2.9151 (3.0349) Prec@1 37.109 (34.719) Prec@5 60.156 (60.280)
Epoch: [11][4910/5005] Time 0.193 (0.225) Data 0.084 (0.078) Loss 3.0905 (3.0347) Prec@1 38.281 (34.722) Prec@5 61.328 (60.283)
Epoch: [11][4920/5005] Time 0.195 (0.225) Data 0.050 (0.078) Loss 3.0770 (3.0347) Prec@1 32.031 (34.721) Prec@5 57.031 (60.283)
Epoch: [11][4930/5005] Time 0.187 (0.225) Data 0.044 (0.078) Loss 3.1228 (3.0346) Prec@1 32.812 (34.721) Prec@5 57.422 (60.284)
Epoch: [11][4940/5005] Time 0.277 (0.225) Data 0.194 (0.078) Loss 2.9480 (3.0347) Prec@1 38.672 (34.719) Prec@5 60.547 (60.280)
Epoch: [11][4950/5005] Time 0.194 (0.225) Data 0.096 (0.078) Loss 2.8552 (3.0349) Prec@1 36.328 (34.719) Prec@5 62.109 (60.276)
Epoch: [11][4960/5005] Time 0.198 (0.225) Data 0.100 (0.078) Loss 3.2769 (3.0349) Prec@1 32.422 (34.719) Prec@5 59.766 (60.276)
Epoch: [11][4970/5005] Time 0.208 (0.225) Data 0.047 (0.078) Loss 3.1937 (3.0350) Prec@1 30.859 (34.718) Prec@5 55.469 (60.276)
Epoch: [11][4980/5005] Time 0.195 (0.225) Data 0.063 (0.078) Loss 3.0600 (3.0348) Prec@1 34.375 (34.720) Prec@5 62.500 (60.282)
Epoch: [11][4990/5005] Time 0.216 (0.225) Data 0.026 (0.078) Loss 3.1562 (3.0347) Prec@1 29.297 (34.723) Prec@5 57.422 (60.282)
Epoch: [11][5000/5005] Time 0.192 (0.225) Data 0.026 (0.078) Loss 3.1107 (3.0347) Prec@1 31.641 (34.721) Prec@5 59.375 (60.282)
Test: [0/196] Time 2.923 (2.923) Loss 2.9551 (2.9551) Prec@1 39.453 (39.453) Prec@5 58.984 (58.984)
Test: [10/196] Time 0.044 (0.426) Loss 3.0520 (3.0794) Prec@1 36.328 (35.085) Prec@5 61.719 (59.055)
Test: [20/196] Time 0.046 (0.315) Loss 2.9846 (3.0888) Prec@1 34.766 (34.784) Prec@5 62.500 (58.687)
Test: [30/196] Time 0.050 (0.275) Loss 3.0709 (3.1103) Prec@1 33.594 (33.858) Prec@5 58.203 (58.682)
Test: [40/196] Time 0.674 (0.273) Loss 2.8957 (3.1092) Prec@1 37.500 (34.175) Prec@5 64.453 (58.813)
Test: [50/196] Time 0.044 (0.270) Loss 3.2322 (3.1141) Prec@1 32.812 (34.084) Prec@5 60.156 (59.107)
Test: [60/196] Time 0.045 (0.256) Loss 2.8766 (3.0968) Prec@1 40.234 (34.285) Prec@5 64.844 (59.362)
Test: [70/196] Time 0.044 (0.245) Loss 3.0845 (3.0915) Prec@1 31.250 (34.243) Prec@5 58.984 (59.463)
Test: [80/196] Time 0.044 (0.254) Loss 2.9513 (3.0970) Prec@1 37.891 (34.177) Prec@5 64.844 (59.404)
Test: [90/196] Time 0.043 (0.245) Loss 3.1286 (3.1034) Prec@1 32.812 (34.100) Prec@5 58.203 (59.328)
Test: [100/196] Time 0.306 (0.242) Loss 3.1546 (3.1031) Prec@1 32.031 (34.151) Prec@5 58.984 (59.383)
Test: [110/196] Time 0.295 (0.243) Loss 3.2709 (3.1052) Prec@1 33.203 (34.062) Prec@5 59.766 (59.428)
Test: [120/196] Time 0.044 (0.242) Loss 2.9187 (3.1045) Prec@1 33.203 (34.001) Prec@5 62.109 (59.417)
Test: [130/196] Time 0.042 (0.237) Loss 2.8071 (3.0997) Prec@1 35.156 (34.074) Prec@5 64.453 (59.518)
Test: [140/196] Time 0.043 (0.238) Loss 2.9634 (3.1006) Prec@1 39.844 (34.084) Prec@5 57.812 (59.466)
Test: [150/196] Time 0.209 (0.237) Loss 2.8064 (3.0981) Prec@1 38.672 (34.186) Prec@5 65.625 (59.502)
Test: [160/196] Time 0.107 (0.238) Loss 2.9672 (3.0948) Prec@1 40.625 (34.246) Prec@5 63.281 (59.542)
Test: [170/196] Time 0.046 (0.237) Loss 2.9487 (3.0961) Prec@1 35.938 (34.229) Prec@5 60.156 (59.551)
Test: [180/196] Time 0.688 (0.237) Loss 3.3078 (3.1005) Prec@1 29.688 (34.183) Prec@5 56.641 (59.453)
Test: [190/196] Time 0.218 (0.235) Loss 3.3351 (3.1021) Prec@1 33.203 (34.203) Prec@5 51.953 (59.342)
* Prec@1 34.198 Prec@5 59.344
Learning rate: 0.001
Epoch: [12][0/5005] Time 2.150 (2.150) Data 2.050 (2.050) Loss 2.9026 (2.9026) Prec@1 37.109 (37.109) Prec@5 63.672 (63.672)
Epoch: [12][10/5005] Time 0.203 (0.392) Data 0.043 (0.237) Loss 2.9307 (3.0063) Prec@1 36.328 (35.866) Prec@5 63.281 (60.618)
Epoch: [12][20/5005] Time 0.209 (0.300) Data 0.042 (0.146) Loss 3.1829 (3.0316) Prec@1 35.156 (34.784) Prec@5 58.984 (60.007)
Epoch: [12][30/5005] Time 0.200 (0.268) Data 0.042 (0.112) Loss 2.9745 (2.9971) Prec@1 32.422 (35.181) Prec@5 62.500 (60.786)
Epoch: [12][40/5005] Time 0.197 (0.252) Data 0.047 (0.096) Loss 2.8332 (3.0043) Prec@1 35.547 (35.080) Prec@5 62.891 (60.556)
Epoch: [12][50/5005] Time 0.195 (0.242) Data 0.044 (0.085) Loss 2.8449 (3.0007) Prec@1 38.672 (35.126) Prec@5 65.625 (60.646)
Epoch: [12][60/5005] Time 0.219 (0.235) Data 0.041 (0.079) Loss 2.9921 (3.0011) Prec@1 33.984 (35.060) Prec@5 59.766 (60.553)
Epoch: [12][70/5005] Time 0.207 (0.230) Data 0.043 (0.075) Loss 3.0158 (3.0056) Prec@1 31.641 (34.909) Prec@5 61.719 (60.558)
Epoch: [12][80/5005] Time 0.197 (0.226) Data 0.046 (0.071) Loss 2.9064 (3.0001) Prec@1 35.156 (35.007) Prec@5 62.500 (60.720)
Epoch: [12][90/5005] Time 0.198 (0.224) Data 0.064 (0.069) Loss 3.0673 (2.9981) Prec@1 33.203 (35.096) Prec@5 60.156 (60.830)
Epoch: [12][100/5005] Time 0.193 (0.221) Data 0.048 (0.067) Loss 2.7635 (2.9993) Prec@1 36.719 (35.002) Prec@5 63.672 (60.760)
Epoch: [12][110/5005] Time 0.206 (0.219) Data 0.059 (0.066) Loss 2.8963 (3.0004) Prec@1 37.500 (35.103) Prec@5 61.719 (60.814)
Epoch: [12][120/5005] Time 0.193 (0.218) Data 0.056 (0.066) Loss 3.0637 (3.0032) Prec@1 31.641 (35.072) Prec@5 58.594 (60.818)
Epoch: [12][130/5005] Time 0.203 (0.218) Data 0.047 (0.065) Loss 3.0945 (3.0012) Prec@1 36.719 (35.171) Prec@5 59.766 (60.866)
Epoch: [12][140/5005] Time 0.195 (0.218) Data 0.045 (0.068) Loss 3.0075 (3.0008) Prec@1 30.859 (35.115) Prec@5 61.328 (60.879)
Epoch: [12][150/5005] Time 0.194 (0.219) Data 0.105 (0.069) Loss 3.0630 (3.0026) Prec@1 36.719 (35.136) Prec@5 60.547 (60.878)
Epoch: [12][160/5005] Time 0.201 (0.222) Data 0.049 (0.074) Loss 2.9565 (3.0039) Prec@1 35.938 (35.122) Prec@5 61.719 (60.850)
Epoch: [12][170/5005] Time 0.200 (0.224) Data 0.045 (0.076) Loss 3.1193 (3.0038) Prec@1 34.375 (35.097) Prec@5 58.594 (60.810)
Epoch: [12][180/5005] Time 0.195 (0.225) Data 0.052 (0.077) Loss 3.1501 (3.0039) Prec@1 35.156 (35.081) Prec@5 57.812 (60.799)
Epoch: [12][190/5005] Time 0.213 (0.226) Data 0.040 (0.078) Loss 3.3211 (3.0106) Prec@1 28.906 (35.029) Prec@5 57.422 (60.670)
Epoch: [12][200/5005] Time 0.227 (0.227) Data 0.050 (0.079) Loss 3.2336 (3.0103) Prec@1 30.469 (35.036) Prec@5 55.469 (60.685)
Epoch: [12][210/5005] Time 0.214 (0.227) Data 0.063 (0.078) Loss 2.9038 (3.0125) Prec@1 36.719 (34.986) Prec@5 61.719 (60.647)
Epoch: [12][220/5005] Time 0.217 (0.227) Data 0.045 (0.078) Loss 3.0297 (3.0136) Prec@1 35.156 (34.974) Prec@5 59.766 (60.593)
Epoch: [12][230/5005] Time 0.215 (0.227) Data 0.041 (0.078) Loss 3.1639 (3.0149) Prec@1 32.422 (34.967) Prec@5 55.469 (60.547)
Epoch: [12][240/5005] Time 0.215 (0.229) Data 0.061 (0.079) Loss 2.9338 (3.0163) Prec@1 39.062 (34.897) Prec@5 61.719 (60.534)
Epoch: [12][250/5005] Time 0.209 (0.229) Data 0.053 (0.079) Loss 3.2279 (3.0153) Prec@1 31.641 (34.963) Prec@5 58.984 (60.566)
Epoch: [12][260/5005] Time 0.205 (0.229) Data 0.046 (0.079) Loss 2.8075 (3.0141) Prec@1 35.938 (34.989) Prec@5 63.281 (60.589)
Epoch: [12][270/5005] Time 0.322 (0.229) Data 0.243 (0.079) Loss 3.1129 (3.0145) Prec@1 37.891 (34.998) Prec@5 60.547 (60.610)
Epoch: [12][280/5005] Time 0.214 (0.229) Data 0.049 (0.080) Loss 3.3495 (3.0171) Prec@1 29.297 (34.973) Prec@5 55.078 (60.596)
Epoch: [12][290/5005] Time 0.209 (0.229) Data 0.052 (0.081) Loss 2.8424 (3.0196) Prec@1 35.547 (34.913) Prec@5 62.500 (60.542)
Epoch: [12][300/5005] Time 0.444 (0.230) Data 0.362 (0.083) Loss 2.7709 (3.0190) Prec@1 35.938 (34.915) Prec@5 64.062 (60.570)
Epoch: [12][310/5005] Time 0.216 (0.231) Data 0.052 (0.083) Loss 2.9575 (3.0159) Prec@1 35.547 (34.949) Prec@5 63.281 (60.630)
Epoch: [12][320/5005] Time 0.204 (0.231) Data 0.053 (0.084) Loss 3.2940 (3.0159) Prec@1 29.297 (34.971) Prec@5 57.031 (60.630)
Epoch: [12][330/5005] Time 0.211 (0.231) Data 0.047 (0.084) Loss 2.7808 (3.0141) Prec@1 35.547 (34.983) Prec@5 64.062 (60.657)
Epoch: [12][340/5005] Time 0.303 (0.231) Data 0.219 (0.084) Loss 3.1508 (3.0178) Prec@1 29.688 (34.919) Prec@5 57.031 (60.598)
Epoch: [12][350/5005] Time 0.202 (0.232) Data 0.070 (0.085) Loss 3.1664 (3.0169) Prec@1 32.812 (34.938) Prec@5 58.203 (60.614)
Epoch: [12][360/5005] Time 0.204 (0.231) Data 0.040 (0.084) Loss 3.1021 (3.0157) Prec@1 34.375 (34.963) Prec@5 59.766 (60.616)
Epoch: [12][370/5005] Time 0.221 (0.230) Data 0.039 (0.083) Loss 3.1477 (3.0144) Prec@1 33.594 (34.983) Prec@5 56.250 (60.628)
Epoch: [12][380/5005] Time 0.218 (0.230) Data 0.040 (0.082) Loss 3.0986 (3.0157) Prec@1 35.156 (34.954) Prec@5 58.594 (60.626)
Epoch: [12][390/5005] Time 0.220 (0.230) Data 0.046 (0.081) Loss 2.9970 (3.0164) Prec@1 35.938 (34.941) Prec@5 64.062 (60.593)
Epoch: [12][400/5005] Time 0.207 (0.229) Data 0.045 (0.080) Loss 2.9474 (3.0145) Prec@1 31.250 (34.944) Prec@5 62.500 (60.631)
Epoch: [12][410/5005] Time 0.223 (0.229) Data 0.041 (0.079) Loss 2.8627 (3.0146) Prec@1 37.500 (34.923) Prec@5 64.062 (60.625)
Epoch: [12][420/5005] Time 0.219 (0.229) Data 0.042 (0.078) Loss 2.9891 (3.0142) Prec@1 35.156 (34.928) Prec@5 62.500 (60.639)
Epoch: [12][430/5005] Time 0.206 (0.228) Data 0.049 (0.077) Loss 2.7969 (3.0142) Prec@1 40.625 (34.938) Prec@5 67.969 (60.657)
Epoch: [12][440/5005] Time 0.215 (0.228) Data 0.042 (0.077) Loss 2.8446 (3.0131) Prec@1 39.062 (34.963) Prec@5 66.797 (60.669)
Epoch: [12][450/5005] Time 0.221 (0.228) Data 0.038 (0.076) Loss 2.8422 (3.0132) Prec@1 31.641 (34.941) Prec@5 61.719 (60.646)
Epoch: [12][460/5005] Time 0.214 (0.227) Data 0.042 (0.075) Loss 3.2682 (3.0142) Prec@1 29.297 (34.915) Prec@5 55.469 (60.650)
Epoch: [12][470/5005] Time 0.208 (0.227) Data 0.042 (0.075) Loss 3.0212 (3.0158) Prec@1 32.031 (34.901) Prec@5 60.156 (60.622)
Epoch: [12][480/5005] Time 0.214 (0.227) Data 0.040 (0.074) Loss 2.9839 (3.0163) Prec@1 35.156 (34.905) Prec@5 61.328 (60.623)
Epoch: [12][490/5005] Time 0.208 (0.226) Data 0.043 (0.073) Loss 2.9055 (3.0166) Prec@1 36.328 (34.903) Prec@5 63.281 (60.613)
Epoch: [12][500/5005] Time 0.213 (0.226) Data 0.040 (0.073) Loss 3.0542 (3.0182) Prec@1 35.156 (34.894) Prec@5 57.812 (60.573)
Epoch: [12][510/5005] Time 0.217 (0.226) Data 0.040 (0.072) Loss 3.3223 (3.0194) Prec@1 30.469 (34.916) Prec@5 53.125 (60.535)
Epoch: [12][520/5005] Time 0.200 (0.226) Data 0.048 (0.072) Loss 2.9172 (3.0193) Prec@1 34.375 (34.919) Prec@5 60.938 (60.530)
Epoch: [12][530/5005] Time 0.213 (0.226) Data 0.042 (0.071) Loss 2.9564 (3.0194) Prec@1 34.766 (34.916) Prec@5 61.719 (60.509)
Epoch: [12][540/5005] Time 0.207 (0.225) Data 0.042 (0.071) Loss 3.2552 (3.0203) Prec@1 31.641 (34.923) Prec@5 55.859 (60.488)
Epoch: [12][550/5005] Time 0.210 (0.225) Data 0.041 (0.070) Loss 3.1017 (3.0197) Prec@1 33.984 (34.956) Prec@5 62.109 (60.484)
Epoch: [12][560/5005] Time 0.210 (0.225) Data 0.040 (0.070) Loss 3.0207 (3.0195) Prec@1 32.422 (34.945) Prec@5 60.547 (60.504)
Epoch: [12][570/5005] Time 0.209 (0.225) Data 0.042 (0.069) Loss 3.1325 (3.0206) Prec@1 31.641 (34.909) Prec@5 59.375 (60.474)
Epoch: [12][580/5005] Time 0.221 (0.225) Data 0.046 (0.069) Loss 3.0775 (3.0199) Prec@1 32.812 (34.918) Prec@5 58.594 (60.488)
Epoch: [12][590/5005] Time 0.206 (0.224) Data 0.053 (0.069) Loss 3.1904 (3.0198) Prec@1 30.469 (34.906) Prec@5 55.859 (60.474)
Epoch: [12][600/5005] Time 0.200 (0.224) Data 0.064 (0.069) Loss 2.9830 (3.0209) Prec@1 37.109 (34.900) Prec@5 65.234 (60.470)
Epoch: [12][610/5005] Time 0.205 (0.224) Data 0.047 (0.068) Loss 3.0629 (3.0205) Prec@1 34.375 (34.892) Prec@5 59.766 (60.471)
Epoch: [12][620/5005] Time 0.219 (0.224) Data 0.043 (0.068) Loss 3.0527 (3.0199) Prec@1 33.594 (34.891) Prec@5 60.938 (60.493)
Epoch: [12][630/5005] Time 0.214 (0.224) Data 0.047 (0.068) Loss 3.1761 (3.0202) Prec@1 32.422 (34.891) Prec@5 59.375 (60.499)
Epoch: [12][640/5005] Time 0.213 (0.223) Data 0.048 (0.067) Loss 2.7092 (3.0197) Prec@1 34.766 (34.889) Prec@5 64.844 (60.506)
Epoch: [12][650/5005] Time 0.211 (0.223) Data 0.047 (0.067) Loss 3.2375 (3.0206) Prec@1 31.641 (34.874) Prec@5 54.297 (60.486)
Epoch: [12][660/5005] Time 0.209 (0.223) Data 0.048 (0.067) Loss 3.0222 (3.0197) Prec@1 33.984 (34.897) Prec@5 61.328 (60.511)
Epoch: [12][670/5005] Time 0.216 (0.223) Data 0.045 (0.066) Loss 3.2810 (3.0194) Prec@1 32.422 (34.923) Prec@5 55.469 (60.508)
Epoch: [12][680/5005] Time 0.204 (0.223) Data 0.055 (0.066) Loss 3.0465 (3.0193) Prec@1 35.938 (34.915) Prec@5 62.500 (60.508)
Epoch: [12][690/5005] Time 0.202 (0.223) Data 0.044 (0.066) Loss 2.8348 (3.0188) Prec@1 37.891 (34.923) Prec@5 63.672 (60.510)
Epoch: [12][700/5005] Time 0.218 (0.222) Data 0.039 (0.066) Loss 3.0154 (3.0187) Prec@1 34.766 (34.920) Prec@5 61.719 (60.506)
Epoch: [12][710/5005] Time 0.212 (0.222) Data 0.043 (0.065) Loss 2.9113 (3.0183) Prec@1 32.812 (34.924) Prec@5 62.500 (60.518)
Epoch: [12][720/5005] Time 0.224 (0.222) Data 0.043 (0.065) Loss 2.9954 (3.0174) Prec@1 30.469 (34.930) Prec@5 62.109 (60.537)
Epoch: [12][730/5005] Time 0.210 (0.222) Data 0.044 (0.065) Loss 3.2467 (3.0178) Prec@1 30.469 (34.930) Prec@5 56.641 (60.545)
Epoch: [12][740/5005] Time 0.213 (0.222) Data 0.053 (0.064) Loss 3.1433 (3.0179) Prec@1 30.078 (34.931) Prec@5 58.984 (60.533)
Epoch: [12][750/5005] Time 0.210 (0.222) Data 0.043 (0.064) Loss 2.8976 (3.0179) Prec@1 37.891 (34.927) Prec@5 60.156 (60.536)
Epoch: [12][760/5005] Time 0.211 (0.222) Data 0.046 (0.064) Loss 3.1899 (3.0190) Prec@1 29.688 (34.906) Prec@5 60.156 (60.531)
Epoch: [12][770/5005] Time 0.203 (0.222) Data 0.048 (0.064) Loss 3.0992 (3.0182) Prec@1 33.203 (34.931) Prec@5 56.641 (60.537)
Epoch: [12][780/5005] Time 0.214 (0.221) Data 0.046 (0.063) Loss 3.0997 (3.0183) Prec@1 35.938 (34.930) Prec@5 59.375 (60.525)
Epoch: [12][790/5005] Time 0.199 (0.222) Data 0.046 (0.063) Loss 3.0611 (3.0184) Prec@1 33.203 (34.947) Prec@5 56.641 (60.522)
Epoch: [12][800/5005] Time 0.194 (0.222) Data 0.052 (0.063) Loss 2.8418 (3.0178) Prec@1 39.844 (34.964) Prec@5 62.891 (60.532)
Epoch: [12][810/5005] Time 0.207 (0.222) Data 0.046 (0.063) Loss 3.2957 (3.0182) Prec@1 26.172 (34.949) Prec@5 55.859 (60.522)
Epoch: [12][820/5005] Time 0.205 (0.222) Data 0.042 (0.063) Loss 3.1092 (3.0183) Prec@1 36.719 (34.945) Prec@5 58.984 (60.528)
Epoch: [12][830/5005] Time 0.214 (0.221) Data 0.047 (0.063) Loss 2.9288 (3.0185) Prec@1 36.719 (34.944) Prec@5 67.188 (60.525)
Epoch: [12][840/5005] Time 0.215 (0.221) Data 0.043 (0.063) Loss 2.9090 (3.0183) Prec@1 36.719 (34.948) Prec@5 64.453 (60.531)
Epoch: [12][850/5005] Time 0.212 (0.221) Data 0.048 (0.063) Loss 3.2386 (3.0179) Prec@1 32.812 (34.953) Prec@5 58.203 (60.534)
Epoch: [12][860/5005] Time 0.206 (0.222) Data 0.041 (0.063) Loss 3.0309 (3.0180) Prec@1 36.328 (34.958) Prec@5 59.766 (60.529)
Epoch: [12][870/5005] Time 0.213 (0.222) Data 0.040 (0.064) Loss 2.9886 (3.0170) Prec@1 35.156 (34.978) Prec@5 60.938 (60.547)
Epoch: [12][880/5005] Time 0.210 (0.222) Data 0.052 (0.064) Loss 2.9899 (3.0179) Prec@1 34.766 (34.970) Prec@5 57.812 (60.530)
Epoch: [12][890/5005] Time 0.200 (0.222) Data 0.049 (0.065) Loss 3.3113 (3.0178) Prec@1 30.859 (34.966) Prec@5 56.641 (60.530)
Epoch: [12][900/5005] Time 0.205 (0.222) Data 0.045 (0.064) Loss 2.9938 (3.0174) Prec@1 34.766 (34.962) Prec@5 62.500 (60.550)
Epoch: [12][910/5005] Time 0.438 (0.222) Data 0.349 (0.065) Loss 3.0548 (3.0169) Prec@1 33.984 (34.959) Prec@5 58.203 (60.559)
Epoch: [12][920/5005] Time 0.210 (0.222) Data 0.045 (0.065) Loss 2.9440 (3.0161) Prec@1 34.766 (34.976) Prec@5 61.328 (60.576)
Epoch: [12][930/5005] Time 0.202 (0.223) Data 0.048 (0.065) Loss 2.9759 (3.0157) Prec@1 38.672 (34.981) Prec@5 61.719 (60.586)
Epoch: [12][940/5005] Time 0.206 (0.224) Data 0.120 (0.067) Loss 2.8513 (3.0161) Prec@1 33.594 (34.977) Prec@5 65.625 (60.586)
Epoch: [12][950/5005] Time 0.194 (0.224) Data 0.064 (0.067) Loss 3.2075 (3.0169) Prec@1 30.469 (34.975) Prec@5 59.375 (60.572)
Epoch: [12][960/5005] Time 0.196 (0.224) Data 0.112 (0.068) Loss 3.2163 (3.0172) Prec@1 34.375 (34.976) Prec@5 55.469 (60.571)
Epoch: [12][970/5005] Time 0.192 (0.225) Data 0.046 (0.069) Loss 2.7796 (3.0169) Prec@1 44.531 (34.984) Prec@5 62.500 (60.573)
Epoch: [12][980/5005] Time 0.189 (0.225) Data 0.065 (0.069) Loss 2.8318 (3.0162) Prec@1 38.281 (34.993) Prec@5 62.109 (60.580)
Epoch: [12][990/5005] Time 0.203 (0.224) Data 0.042 (0.069) Loss 3.1325 (3.0167) Prec@1 33.594 (34.986) Prec@5 57.812 (60.561)
Epoch: [12][1000/5005] Time 0.214 (0.224) Data 0.044 (0.069) Loss 3.0619 (3.0167) Prec@1 32.812 (34.989) Prec@5 58.594 (60.561)
Epoch: [12][1010/5005] Time 0.206 (0.224) Data 0.043 (0.069) Loss 2.9818 (3.0162) Prec@1 36.719 (35.004) Prec@5 60.547 (60.570)
Epoch: [12][1020/5005] Time 0.211 (0.224) Data 0.051 (0.068) Loss 2.9560 (3.0165) Prec@1 36.719 (35.011) Prec@5 61.719 (60.568)
Epoch: [12][1030/5005] Time 0.216 (0.224) Data 0.041 (0.068) Loss 3.0663 (3.0158) Prec@1 33.203 (35.018) Prec@5 59.375 (60.582)
Epoch: [12][1040/5005] Time 0.211 (0.224) Data 0.042 (0.068) Loss 3.1940 (3.0160) Prec@1 28.906 (35.015) Prec@5 57.031 (60.577)
Epoch: [12][1050/5005] Time 0.213 (0.224) Data 0.042 (0.068) Loss 3.1062 (3.0164) Prec@1 33.984 (35.006) Prec@5 57.812 (60.574)
Epoch: [12][1060/5005] Time 0.202 (0.224) Data 0.042 (0.068) Loss 3.0952 (3.0166) Prec@1 34.766 (35.003) Prec@5 58.594 (60.577)
Epoch: [12][1070/5005] Time 0.205 (0.223) Data 0.043 (0.067) Loss 3.1044 (3.0169) Prec@1 31.641 (35.001) Prec@5 60.547 (60.576)
Epoch: [12][1080/5005] Time 0.208 (0.223) Data 0.053 (0.067) Loss 3.0539 (3.0175) Prec@1 34.375 (34.998) Prec@5 60.156 (60.572)
Epoch: [12][1090/5005] Time 0.212 (0.223) Data 0.042 (0.067) Loss 2.9130 (3.0169) Prec@1 36.328 (34.999) Prec@5 59.375 (60.580)
Epoch: [12][1100/5005] Time 0.214 (0.223) Data 0.041 (0.067) Loss 2.8251 (3.0164) Prec@1 38.672 (35.015) Prec@5 62.891 (60.578)
Epoch: [12][1110/5005] Time 0.211 (0.223) Data 0.042 (0.067) Loss 3.0821 (3.0166) Prec@1 35.938 (35.010) Prec@5 58.594 (60.577)
Epoch: [12][1120/5005] Time 0.206 (0.223) Data 0.044 (0.066) Loss 2.8549 (3.0157) Prec@1 37.500 (35.023) Prec@5 58.594 (60.582)
Epoch: [12][1130/5005] Time 0.206 (0.223) Data 0.039 (0.066) Loss 3.0005 (3.0160) Prec@1 33.203 (35.029) Prec@5 60.547 (60.575)
Epoch: [12][1140/5005] Time 0.206 (0.223) Data 0.044 (0.066) Loss 3.0603 (3.0156) Prec@1 36.328 (35.036) Prec@5 59.375 (60.575)
Epoch: [12][1150/5005] Time 0.210 (0.222) Data 0.044 (0.066) Loss 2.9108 (3.0149) Prec@1 32.812 (35.042) Prec@5 61.719 (60.589)
Epoch: [12][1160/5005] Time 0.197 (0.222) Data 0.049 (0.066) Loss 3.0714 (3.0150) Prec@1 32.422 (35.042) Prec@5 59.375 (60.586)
Epoch: [12][1170/5005] Time 0.215 (0.222) Data 0.046 (0.066) Loss 3.0308 (3.0147) Prec@1 37.500 (35.054) Prec@5 60.156 (60.581)
Epoch: [12][1180/5005] Time 0.209 (0.222) Data 0.040 (0.065) Loss 3.0221 (3.0149) Prec@1 34.375 (35.050) Prec@5 60.547 (60.578)
Epoch: [12][1190/5005] Time 0.216 (0.222) Data 0.045 (0.065) Loss 2.7699 (3.0144) Prec@1 39.844 (35.052) Prec@5 66.797 (60.588)
Epoch: [12][1200/5005] Time 0.206 (0.222) Data 0.062 (0.065) Loss 3.1225 (3.0142) Prec@1 30.859 (35.052) Prec@5 60.938 (60.587)
Epoch: [12][1210/5005] Time 0.211 (0.222) Data 0.050 (0.065) Loss 3.0102 (3.0146) Prec@1 33.984 (35.048) Prec@5 63.672 (60.597)
Epoch: [12][1220/5005] Time 0.216 (0.222) Data 0.092 (0.065) Loss 3.1153 (3.0147) Prec@1 31.641 (35.047) Prec@5 59.766 (60.604)
Epoch: [12][1230/5005] Time 0.207 (0.222) Data 0.044 (0.065) Loss 2.9746 (3.0146) Prec@1 32.812 (35.043) Prec@5 61.719 (60.602)
Epoch: [12][1240/5005] Time 0.202 (0.222) Data 0.044 (0.065) Loss 3.0492 (3.0144) Prec@1 39.062 (35.051) Prec@5 60.547 (60.604)
Epoch: [12][1250/5005] Time 0.207 (0.222) Data 0.054 (0.065) Loss 3.1910 (3.0148) Prec@1 32.812 (35.038) Prec@5 57.812 (60.600)
Epoch: [12][1260/5005] Time 0.200 (0.222) Data 0.052 (0.065) Loss 2.7423 (3.0143) Prec@1 38.281 (35.040) Prec@5 67.578 (60.616)
Epoch: [12][1270/5005] Time 0.210 (0.222) Data 0.045 (0.065) Loss 3.1898 (3.0148) Prec@1 32.031 (35.036) Prec@5 59.375 (60.607)
Epoch: [12][1280/5005] Time 0.212 (0.222) Data 0.042 (0.065) Loss 3.1265 (3.0154) Prec@1 32.031 (35.024) Prec@5 59.766 (60.599)
Epoch: [12][1290/5005] Time 0.195 (0.222) Data 0.048 (0.065) Loss 2.8313 (3.0150) Prec@1 41.406 (35.036) Prec@5 61.328 (60.601)
Epoch: [12][1300/5005] Time 0.201 (0.222) Data 0.063 (0.065) Loss 2.9483 (3.0148) Prec@1 35.547 (35.042) Prec@5 60.938 (60.606)
Epoch: [12][1310/5005] Time 0.231 (0.222) Data 0.143 (0.065) Loss 2.9402 (3.0147) Prec@1 34.375 (35.039) Prec@5 64.062 (60.612)
Epoch: [12][1320/5005] Time 0.204 (0.222) Data 0.049 (0.066) Loss 3.1397 (3.0147) Prec@1 28.516 (35.029) Prec@5 62.891 (60.619)
Epoch: [12][1330/5005] Time 0.193 (0.222) Data 0.058 (0.065) Loss 3.0707 (3.0152) Prec@1 33.594 (35.016) Prec@5 61.719 (60.611)
Epoch: [12][1340/5005] Time 0.207 (0.222) Data 0.040 (0.065) Loss 2.8434 (3.0149) Prec@1 36.719 (35.026) Prec@5 63.672 (60.623)
Epoch: [12][1350/5005] Time 0.204 (0.222) Data 0.040 (0.065) Loss 3.4050 (3.0151) Prec@1 32.422 (35.025) Prec@5 57.812 (60.621)
Epoch: [12][1360/5005] Time 0.210 (0.222) Data 0.045 (0.065) Loss 2.8770 (3.0148) Prec@1 37.500 (35.033) Prec@5 64.453 (60.633)
Epoch: [12][1370/5005] Time 0.203 (0.222) Data 0.050 (0.065) Loss 2.9965 (3.0145) Prec@1 36.328 (35.035) Prec@5 62.891 (60.641)
Epoch: [12][1380/5005] Time 0.206 (0.222) Data 0.044 (0.065) Loss 2.9457 (3.0142) Prec@1 40.625 (35.039) Prec@5 60.938 (60.649)
Epoch: [12][1390/5005] Time 0.208 (0.222) Data 0.043 (0.065) Loss 2.9775 (3.0141) Prec@1 33.984 (35.044) Prec@5 61.328 (60.656)
Epoch: [12][1400/5005] Time 0.214 (0.222) Data 0.047 (0.065) Loss 3.0194 (3.0134) Prec@1 36.328 (35.054) Prec@5 62.109 (60.666)
Epoch: [12][1410/5005] Time 0.199 (0.222) Data 0.104 (0.065) Loss 3.0140 (3.0129) Prec@1 39.453 (35.068) Prec@5 64.062 (60.679)
Epoch: [12][1420/5005] Time 0.206 (0.222) Data 0.044 (0.066) Loss 3.1501 (3.0127) Prec@1 30.469 (35.069) Prec@5 56.641 (60.675)
Epoch: [12][1430/5005] Time 0.199 (0.222) Data 0.048 (0.066) Loss 2.7310 (3.0125) Prec@1 41.406 (35.070) Prec@5 63.672 (60.679)
Epoch: [12][1440/5005] Time 0.204 (0.222) Data 0.062 (0.066) Loss 2.8909 (3.0123) Prec@1 37.891 (35.073) Prec@5 63.672 (60.683)
Epoch: [12][1450/5005] Time 0.223 (0.222) Data 0.048 (0.066) Loss 2.9688 (3.0123) Prec@1 32.422 (35.074) Prec@5 61.719 (60.677)
Epoch: [12][1460/5005] Time 0.202 (0.222) Data 0.091 (0.066) Loss 3.1472 (3.0124) Prec@1 31.641 (35.076) Prec@5 58.203 (60.676)
Epoch: [12][1470/5005] Time 0.204 (0.222) Data 0.050 (0.066) Loss 2.9527 (3.0126) Prec@1 40.625 (35.077) Prec@5 61.719 (60.676)
Epoch: [12][1480/5005] Time 0.205 (0.222) Data 0.045 (0.066) Loss 2.8445 (3.0130) Prec@1 42.188 (35.078) Prec@5 64.844 (60.675)
Epoch: [12][1490/5005] Time 0.203 (0.222) Data 0.050 (0.066) Loss 3.2426 (3.0130) Prec@1 32.422 (35.069) Prec@5 57.812 (60.685)
Epoch: [12][1500/5005] Time 0.197 (0.222) Data 0.053 (0.066) Loss 3.0901 (3.0129) Prec@1 33.984 (35.070) Prec@5 57.812 (60.686)
Epoch: [12][1510/5005] Time 0.201 (0.222) Data 0.092 (0.066) Loss 2.8581 (3.0126) Prec@1 35.547 (35.075) Prec@5 64.844 (60.698)
Epoch: [12][1520/5005] Time 0.206 (0.222) Data 0.046 (0.067) Loss 3.1432 (3.0126) Prec@1 32.812 (35.073) Prec@5 61.719 (60.696)
Epoch: [12][1530/5005] Time 0.209 (0.222) Data 0.040 (0.067) Loss 3.1972 (3.0127) Prec@1 35.938 (35.066) Prec@5 57.812 (60.697)
Epoch: [12][1540/5005] Time 0.202 (0.222) Data 0.038 (0.066) Loss 3.0029 (3.0131) Prec@1 35.156 (35.056) Prec@5 60.156 (60.690)
Epoch: [12][1550/5005] Time 0.206 (0.222) Data 0.042 (0.066) Loss 2.8806 (3.0126) Prec@1 39.844 (35.061) Prec@5 60.547 (60.703)
Epoch: [12][1560/5005] Time 0.210 (0.222) Data 0.047 (0.066) Loss 2.9160 (3.0127) Prec@1 34.375 (35.059) Prec@5 62.109 (60.705)
Epoch: [12][1570/5005] Time 0.202 (0.223) Data 0.052 (0.066) Loss 2.8428 (3.0126) Prec@1 35.156 (35.057) Prec@5 62.891 (60.706)
Epoch: [12][1580/5005] Time 0.197 (0.222) Data 0.048 (0.066) Loss 2.9519 (3.0129) Prec@1 33.594 (35.053) Prec@5 62.500 (60.699)
Epoch: [12][1590/5005] Time 0.192 (0.223) Data 0.047 (0.066) Loss 2.9692 (3.0128) Prec@1 37.891 (35.054) Prec@5 62.109 (60.701)
Epoch: [12][1600/5005] Time 0.207 (0.223) Data 0.048 (0.066) Loss 2.9725 (3.0130) Prec@1 35.938 (35.052) Prec@5 58.984 (60.697)
Epoch: [12][1610/5005] Time 0.204 (0.223) Data 0.041 (0.066) Loss 3.1739 (3.0132) Prec@1 32.812 (35.050) Prec@5 60.156 (60.696)
Epoch: [12][1620/5005] Time 0.200 (0.223) Data 0.047 (0.066) Loss 3.1740 (3.0128) Prec@1 31.250 (35.056) Prec@5 58.594 (60.697)
Epoch: [12][1630/5005] Time 0.199 (0.223) Data 0.040 (0.066) Loss 2.8665 (3.0130) Prec@1 36.328 (35.055) Prec@5 62.500 (60.696)
Epoch: [12][1640/5005] Time 0.305 (0.223) Data 0.224 (0.066) Loss 2.9360 (3.0130) Prec@1 39.844 (35.062) Prec@5 62.891 (60.698)
Epoch: [12][1650/5005] Time 0.197 (0.223) Data 0.045 (0.066) Loss 3.0917 (3.0129) Prec@1 35.938 (35.072) Prec@5 59.375 (60.703)
Epoch: [12][1660/5005] Time 0.210 (0.223) Data 0.038 (0.066) Loss 2.9411 (3.0124) Prec@1 38.281 (35.083) Prec@5 60.156 (60.715)
Epoch: [12][1670/5005] Time 0.205 (0.223) Data 0.048 (0.066) Loss 2.7009 (3.0123) Prec@1 41.797 (35.087) Prec@5 62.891 (60.723)
Epoch: [12][1680/5005] Time 0.333 (0.223) Data 0.247 (0.067) Loss 3.2319 (3.0124) Prec@1 34.375 (35.089) Prec@5 57.422 (60.721)
Epoch: [12][1690/5005] Time 0.196 (0.223) Data 0.084 (0.067) Loss 2.8848 (3.0121) Prec@1 39.062 (35.094) Prec@5 61.719 (60.727)
Epoch: [12][1700/5005] Time 0.214 (0.223) Data 0.049 (0.067) Loss 2.7641 (3.0117) Prec@1 35.156 (35.099) Prec@5 63.281 (60.733)
Epoch: [12][1710/5005] Time 0.204 (0.223) Data 0.055 (0.067) Loss 2.8658 (3.0112) Prec@1 36.328 (35.099) Prec@5 62.891 (60.738)
Epoch: [12][1720/5005] Time 0.197 (0.223) Data 0.052 (0.067) Loss 3.1327 (3.0112) Prec@1 32.031 (35.093) Prec@5 57.812 (60.738)
Epoch: [12][1730/5005] Time 0.197 (0.223) Data 0.046 (0.067) Loss 3.0219 (3.0113) Prec@1 28.906 (35.089) Prec@5 61.328 (60.738)
Epoch: [12][1740/5005] Time 0.208 (0.223) Data 0.042 (0.067) Loss 3.1938 (3.0111) Prec@1 30.469 (35.093) Prec@5 57.422 (60.747)
Epoch: [12][1750/5005] Time 0.205 (0.223) Data 0.039 (0.068) Loss 2.8174 (3.0106) Prec@1 37.500 (35.099) Prec@5 64.062 (60.758)
Epoch: [12][1760/5005] Time 0.199 (0.223) Data 0.039 (0.068) Loss 2.7952 (3.0103) Prec@1 39.453 (35.106) Prec@5 63.281 (60.758)
Epoch: [12][1770/5005] Time 0.202 (0.223) Data 0.054 (0.068) Loss 3.0674 (3.0100) Prec@1 32.422 (35.106) Prec@5 57.422 (60.761)
Epoch: [12][1780/5005] Time 0.193 (0.223) Data 0.083 (0.068) Loss 3.0426 (3.0102) Prec@1 32.422 (35.097) Prec@5 61.328 (60.760)
Epoch: [12][1790/5005] Time 0.632 (0.223) Data 0.549 (0.068) Loss 2.8667 (3.0098) Prec@1 35.156 (35.097) Prec@5 65.625 (60.764)
Epoch: [12][1800/5005] Time 0.202 (0.223) Data 0.046 (0.068) Loss 2.8760 (3.0097) Prec@1 37.109 (35.100) Prec@5 65.234 (60.768)
Epoch: [12][1810/5005] Time 0.408 (0.223) Data 0.322 (0.068) Loss 2.8575 (3.0097) Prec@1 40.625 (35.104) Prec@5 62.891 (60.770)
Epoch: [12][1820/5005] Time 0.341 (0.223) Data 0.258 (0.068) Loss 3.0002 (3.0095) Prec@1 33.203 (35.106) Prec@5 61.328 (60.773)
Epoch: [12][1830/5005] Time 0.206 (0.223) Data 0.041 (0.068) Loss 2.8423 (3.0092) Prec@1 35.938 (35.108) Prec@5 59.766 (60.770)
Epoch: [12][1840/5005] Time 0.208 (0.223) Data 0.040 (0.068) Loss 3.1333 (3.0089) Prec@1 31.250 (35.109) Prec@5 59.766 (60.780)
Epoch: [12][1850/5005] Time 0.200 (0.223) Data 0.045 (0.068) Loss 3.1007 (3.0086) Prec@1 34.375 (35.120) Prec@5 58.984 (60.783)
Epoch: [12][1860/5005] Time 0.202 (0.223) Data 0.046 (0.068) Loss 2.9033 (3.0087) Prec@1 39.453 (35.120) Prec@5 62.500 (60.784)
Epoch: [12][1870/5005] Time 0.210 (0.223) Data 0.046 (0.068) Loss 3.2084 (3.0089) Prec@1 31.250 (35.116) Prec@5 57.031 (60.781)
Epoch: [12][1880/5005] Time 0.204 (0.223) Data 0.041 (0.068) Loss 2.9463 (3.0091) Prec@1 36.719 (35.117) Prec@5 62.500 (60.782)
Epoch: [12][1890/5005] Time 0.202 (0.223) Data 0.064 (0.068) Loss 3.1163 (3.0090) Prec@1 34.766 (35.120) Prec@5 58.984 (60.785)
Epoch: [12][1900/5005] Time 0.220 (0.223) Data 0.044 (0.068) Loss 2.9957 (3.0094) Prec@1 33.984 (35.118) Prec@5 60.938 (60.782)
Epoch: [12][1910/5005] Time 0.198 (0.223) Data 0.044 (0.068) Loss 3.0537 (3.0097) Prec@1 30.078 (35.114) Prec@5 60.547 (60.773)
Epoch: [12][1920/5005] Time 0.203 (0.223) Data 0.041 (0.068) Loss 2.9865 (3.0096) Prec@1 33.594 (35.114) Prec@5 57.422 (60.775)
Epoch: [12][1930/5005] Time 0.199 (0.223) Data 0.045 (0.068) Loss 2.8384 (3.0094) Prec@1 33.594 (35.113) Prec@5 62.891 (60.778)
Epoch: [12][1940/5005] Time 0.227 (0.223) Data 0.140 (0.068) Loss 2.8448 (3.0092) Prec@1 38.672 (35.112) Prec@5 66.016 (60.780)
Epoch: [12][1950/5005] Time 0.210 (0.223) Data 0.050 (0.068) Loss 3.0455 (3.0087) Prec@1 32.812 (35.115) Prec@5 60.547 (60.786)
Epoch: [12][1960/5005] Time 0.207 (0.223) Data 0.038 (0.068) Loss 2.9139 (3.0084) Prec@1 36.719 (35.120) Prec@5 60.156 (60.791)
Epoch: [12][1970/5005] Time 0.405 (0.223) Data 0.311 (0.069) Loss 2.9803 (3.0086) Prec@1 39.062 (35.119) Prec@5 59.375 (60.786)
Epoch: [12][1980/5005] Time 0.199 (0.223) Data 0.051 (0.069) Loss 2.6602 (3.0085) Prec@1 41.406 (35.120) Prec@5 64.844 (60.785)
Epoch: [12][1990/5005] Time 0.346 (0.223) Data 0.265 (0.069) Loss 2.9452 (3.0083) Prec@1 35.938 (35.123) Prec@5 61.719 (60.786)
Epoch: [12][2000/5005] Time 0.205 (0.223) Data 0.040 (0.069) Loss 2.6554 (3.0085) Prec@1 41.797 (35.123) Prec@5 66.016 (60.784)
Epoch: [12][2010/5005] Time 0.200 (0.223) Data 0.046 (0.069) Loss 2.9908 (3.0087) Prec@1 35.156 (35.122) Prec@5 59.375 (60.776)
Epoch: [12][2020/5005] Time 0.204 (0.223) Data 0.107 (0.069) Loss 2.9998 (3.0087) Prec@1 34.766 (35.125) Prec@5 61.719 (60.773)
Epoch: [12][2030/5005] Time 0.207 (0.223) Data 0.053 (0.069) Loss 2.9683 (3.0088) Prec@1 34.766 (35.130) Prec@5 62.891 (60.771)
Epoch: [12][2040/5005] Time 0.196 (0.223) Data 0.040 (0.069) Loss 2.7583 (3.0088) Prec@1 39.844 (35.129) Prec@5 63.672 (60.776)
Epoch: [12][2050/5005] Time 0.193 (0.223) Data 0.096 (0.069) Loss 2.9646 (3.0086) Prec@1 39.453 (35.131) Prec@5 64.062 (60.778)
Epoch: [12][2060/5005] Time 0.311 (0.223) Data 0.231 (0.070) Loss 3.0180 (3.0085) Prec@1 34.766 (35.129) Prec@5 58.594 (60.778)
Epoch: [12][2070/5005] Time 0.207 (0.223) Data 0.050 (0.069) Loss 3.0889 (3.0087) Prec@1 31.641 (35.120) Prec@5 60.156 (60.773)
Epoch: [12][2080/5005] Time 0.201 (0.223) Data 0.063 (0.069) Loss 3.0262 (3.0087) Prec@1 34.375 (35.125) Prec@5 60.156 (60.774)
Epoch: [12][2090/5005] Time 0.331 (0.223) Data 0.241 (0.069) Loss 2.9466 (3.0083) Prec@1 36.719 (35.132) Prec@5 61.328 (60.781)
Epoch: [12][2100/5005] Time 0.194 (0.223) Data 0.055 (0.070) Loss 3.1129 (3.0084) Prec@1 30.859 (35.129) Prec@5 57.812 (60.777)
Epoch: [12][2110/5005] Time 0.204 (0.223) Data 0.043 (0.069) Loss 2.8321 (3.0084) Prec@1 38.672 (35.134) Prec@5 64.062 (60.779)
Epoch: [12][2120/5005] Time 0.201 (0.223) Data 0.045 (0.070) Loss 3.0384 (3.0083) Prec@1 34.766 (35.134) Prec@5 63.281 (60.780)
Epoch: [12][2130/5005] Time 0.214 (0.223) Data 0.046 (0.070) Loss 2.9594 (3.0080) Prec@1 35.547 (35.141) Prec@5 62.891 (60.786)
Epoch: [12][2140/5005] Time 0.209 (0.223) Data 0.044 (0.069) Loss 2.8641 (3.0079) Prec@1 37.500 (35.149) Prec@5 60.938 (60.786)
Epoch: [12][2150/5005] Time 0.200 (0.224) Data 0.050 (0.070) Loss 2.8637 (3.0078) Prec@1 41.016 (35.153) Prec@5 60.938 (60.787)
Epoch: [12][2160/5005] Time 0.202 (0.224) Data 0.047 (0.070) Loss 2.7422 (3.0077) Prec@1 41.016 (35.156) Prec@5 64.844 (60.789)
Epoch: [12][2170/5005] Time 0.194 (0.223) Data 0.055 (0.070) Loss 2.9914 (3.0073) Prec@1 32.812 (35.160) Prec@5 58.984 (60.794)
Epoch: [12][2180/5005] Time 0.200 (0.223) Data 0.044 (0.070) Loss 3.0016 (3.0073) Prec@1 37.109 (35.157) Prec@5 58.203 (60.795)
Epoch: [12][2190/5005] Time 0.195 (0.224) Data 0.057 (0.070) Loss 3.2184 (3.0075) Prec@1 32.031 (35.158) Prec@5 55.859 (60.792)
Epoch: [12][2200/5005] Time 0.204 (0.223) Data 0.053 (0.070) Loss 3.1615 (3.0077) Prec@1 30.859 (35.156) Prec@5 57.422 (60.789)
Epoch: [12][2210/5005] Time 0.200 (0.223) Data 0.099 (0.070) Loss 3.0459 (3.0079) Prec@1 38.281 (35.153) Prec@5 58.594 (60.787)
Epoch: [12][2220/5005] Time 0.204 (0.224) Data 0.044 (0.071) Loss 3.3701 (3.0081) Prec@1 32.812 (35.152) Prec@5 55.469 (60.786)
Epoch: [12][2230/5005] Time 0.196 (0.224) Data 0.054 (0.071) Loss 3.0521 (3.0081) Prec@1 34.375 (35.150) Prec@5 58.594 (60.788)
Epoch: [12][2240/5005] Time 0.213 (0.224) Data 0.045 (0.071) Loss 3.0818 (3.0084) Prec@1 30.859 (35.146) Prec@5 62.109 (60.783)
Epoch: [12][2250/5005] Time 0.202 (0.223) Data 0.047 (0.071) Loss 2.9281 (3.0085) Prec@1 35.547 (35.143) Prec@5 63.672 (60.777)
Epoch: [12][2260/5005] Time 0.204 (0.224) Data 0.041 (0.071) Loss 2.8111 (3.0082) Prec@1 36.328 (35.151) Prec@5 62.891 (60.780)
Epoch: [12][2270/5005] Time 0.197 (0.224) Data 0.043 (0.071) Loss 3.2699 (3.0081) Prec@1 32.422 (35.157) Prec@5 58.594 (60.786)
Epoch: [12][2280/5005] Time 0.209 (0.223) Data 0.049 (0.071) Loss 2.9945 (3.0079) Prec@1 35.156 (35.156) Prec@5 60.547 (60.787)
Epoch: [12][2290/5005] Time 0.199 (0.223) Data 0.043 (0.071) Loss 2.8772 (3.0078) Prec@1 38.281 (35.159) Prec@5 62.109 (60.792)
Epoch: [12][2300/5005] Time 0.197 (0.224) Data 0.059 (0.071) Loss 2.8927 (3.0078) Prec@1 37.109 (35.155) Prec@5 62.891 (60.790)
Epoch: [12][2310/5005] Time 0.445 (0.224) Data 0.356 (0.071) Loss 2.8472 (3.0077) Prec@1 35.156 (35.160) Prec@5 59.375 (60.789)
Epoch: [12][2320/5005] Time 0.195 (0.224) Data 0.049 (0.071) Loss 3.0851 (3.0075) Prec@1 30.469 (35.163) Prec@5 62.500 (60.798)
Epoch: [12][2330/5005] Time 0.197 (0.224) Data 0.042 (0.071) Loss 2.9462 (3.0075) Prec@1 35.938 (35.164) Prec@5 62.109 (60.797)
Epoch: [12][2340/5005] Time 0.204 (0.223) Data 0.050 (0.071) Loss 2.9877 (3.0072) Prec@1 35.156 (35.167) Prec@5 59.375 (60.801)
Epoch: [12][2350/5005] Time 0.208 (0.224) Data 0.046 (0.071) Loss 2.9178 (3.0072) Prec@1 39.453 (35.164) Prec@5 59.766 (60.802)
Epoch: [12][2360/5005] Time 0.208 (0.224) Data 0.040 (0.071) Loss 3.1270 (3.0073) Prec@1 30.469 (35.161) Prec@5 58.594 (60.799)
Epoch: [12][2370/5005] Time 0.201 (0.224) Data 0.051 (0.071) Loss 3.0229 (3.0072) Prec@1 34.375 (35.164) Prec@5 58.594 (60.798)
Epoch: [12][2380/5005] Time 0.203 (0.224) Data 0.041 (0.071) Loss 3.0849 (3.0071) Prec@1 30.859 (35.164) Prec@5 58.594 (60.799)
Epoch: [12][2390/5005] Time 0.200 (0.224) Data 0.046 (0.071) Loss 3.0468 (3.0070) Prec@1 33.594 (35.167) Prec@5 55.859 (60.797)
Epoch: [12][2400/5005] Time 0.201 (0.224) Data 0.039 (0.071) Loss 2.9358 (3.0069) Prec@1 35.938 (35.173) Prec@5 61.719 (60.798)
Epoch: [12][2410/5005] Time 0.199 (0.223) Data 0.048 (0.071) Loss 2.9772 (3.0069) Prec@1 35.938 (35.172) Prec@5 63.672 (60.799)
Epoch: [12][2420/5005] Time 0.204 (0.224) Data 0.040 (0.071) Loss 3.0519 (3.0068) Prec@1 34.766 (35.174) Prec@5 62.891 (60.805)
Epoch: [12][2430/5005] Time 0.206 (0.223) Data 0.042 (0.071) Loss 2.8650 (3.0069) Prec@1 38.672 (35.176) Prec@5 64.062 (60.804)
Epoch: [12][2440/5005] Time 0.195 (0.224) Data 0.050 (0.071) Loss 2.8191 (3.0068) Prec@1 38.281 (35.178) Prec@5 61.328 (60.803)
Epoch: [12][2450/5005] Time 0.195 (0.224) Data 0.044 (0.071) Loss 2.9588 (3.0068) Prec@1 37.500 (35.182) Prec@5 62.500 (60.805)
Epoch: [12][2460/5005] Time 0.419 (0.224) Data 0.333 (0.071) Loss 2.8556 (3.0066) Prec@1 36.328 (35.185) Prec@5 63.672 (60.809)
Epoch: [12][2470/5005] Time 0.198 (0.224) Data 0.083 (0.071) Loss 2.9255 (3.0065) Prec@1 39.844 (35.190) Prec@5 62.109 (60.810)
Epoch: [12][2480/5005] Time 0.190 (0.224) Data 0.101 (0.072) Loss 3.2321 (3.0068) Prec@1 29.688 (35.187) Prec@5 57.031 (60.809)
Epoch: [12][2490/5005] Time 0.200 (0.224) Data 0.044 (0.072) Loss 2.8073 (3.0068) Prec@1 37.891 (35.182) Prec@5 64.844 (60.809)
Epoch: [12][2500/5005] Time 0.209 (0.224) Data 0.043 (0.072) Loss 2.9617 (3.0066) Prec@1 37.109 (35.184) Prec@5 59.375 (60.811)
Epoch: [12][2510/5005] Time 0.324 (0.224) Data 0.242 (0.072) Loss 3.1140 (3.0069) Prec@1 33.984 (35.176) Prec@5 57.422 (60.810)
Epoch: [12][2520/5005] Time 0.211 (0.224) Data 0.042 (0.072) Loss 2.9236 (3.0068) Prec@1 37.109 (35.178) Prec@5 61.719 (60.809)
Epoch: [12][2530/5005] Time 0.199 (0.224) Data 0.043 (0.072) Loss 3.1187 (3.0068) Prec@1 35.938 (35.178) Prec@5 58.594 (60.808)
Epoch: [12][2540/5005] Time 0.195 (0.224) Data 0.044 (0.072) Loss 3.1183 (3.0069) Prec@1 32.031 (35.180) Prec@5 60.938 (60.809)
Epoch: [12][2550/5005] Time 0.189 (0.224) Data 0.112 (0.072) Loss 2.9835 (3.0067) Prec@1 33.594 (35.179) Prec@5 62.109 (60.811)
Epoch: [12][2560/5005] Time 0.201 (0.224) Data 0.065 (0.072) Loss 3.1603 (3.0070) Prec@1 30.078 (35.174) Prec@5 56.250 (60.806)
Epoch: [12][2570/5005] Time 0.207 (0.224) Data 0.048 (0.072) Loss 2.9539 (3.0071) Prec@1 33.203 (35.169) Prec@5 63.672 (60.805)
Epoch: [12][2580/5005] Time 0.212 (0.224) Data 0.045 (0.072) Loss 3.1470 (3.0074) Prec@1 32.812 (35.165) Prec@5 57.812 (60.796)
Epoch: [12][2590/5005] Time 0.362 (0.224) Data 0.278 (0.072) Loss 2.9623 (3.0072) Prec@1 35.156 (35.171) Prec@5 62.891 (60.804)
Epoch: [12][2600/5005] Time 0.202 (0.224) Data 0.045 (0.072) Loss 3.0981 (3.0073) Prec@1 33.984 (35.166) Prec@5 57.812 (60.797)
Epoch: [12][2610/5005] Time 0.203 (0.224) Data 0.044 (0.072) Loss 3.1878 (3.0072) Prec@1 29.688 (35.164) Prec@5 56.250 (60.798)
Epoch: [12][2620/5005] Time 0.200 (0.224) Data 0.045 (0.072) Loss 3.0554 (3.0072) Prec@1 34.375 (35.164) Prec@5 58.984 (60.796)
Epoch: [12][2630/5005] Time 0.196 (0.224) Data 0.043 (0.072) Loss 3.1359 (3.0076) Prec@1 34.375 (35.162) Prec@5 58.984 (60.788)
Epoch: [12][2640/5005] Time 0.200 (0.224) Data 0.046 (0.072) Loss 3.0706 (3.0075) Prec@1 37.109 (35.166) Prec@5 56.641 (60.789)
Epoch: [12][2650/5005] Time 0.200 (0.224) Data 0.059 (0.072) Loss 3.2548 (3.0076) Prec@1 33.594 (35.166) Prec@5 52.344 (60.785)
Epoch: [12][2660/5005] Time 0.206 (0.224) Data 0.046 (0.072) Loss 2.9843 (3.0075) Prec@1 30.078 (35.169) Prec@5 64.453 (60.785)
Epoch: [12][2670/5005] Time 0.192 (0.224) Data 0.084 (0.072) Loss 2.6727 (3.0073) Prec@1 37.500 (35.169) Prec@5 64.844 (60.786)
Epoch: [12][2680/5005] Time 0.196 (0.224) Data 0.054 (0.072) Loss 2.7321 (3.0072) Prec@1 38.281 (35.164) Prec@5 64.844 (60.789)
Epoch: [12][2690/5005] Time 0.198 (0.224) Data 0.052 (0.073) Loss 2.8863 (3.0071) Prec@1 36.328 (35.171) Prec@5 61.328 (60.792)
Epoch: [12][2700/5005] Time 0.199 (0.224) Data 0.045 (0.073) Loss 2.8048 (3.0070) Prec@1 37.891 (35.173) Prec@5 64.844 (60.793)
Epoch: [12][2710/5005] Time 0.199 (0.224) Data 0.047 (0.073) Loss 2.8045 (3.0071) Prec@1 37.891 (35.167) Prec@5 63.672 (60.790)
Epoch: [12][2720/5005] Time 0.201 (0.224) Data 0.053 (0.073) Loss 2.9044 (3.0071) Prec@1 39.453 (35.164) Prec@5 63.672 (60.790)
Epoch: [12][2730/5005] Time 0.203 (0.224) Data 0.057 (0.073) Loss 3.2632 (3.0070) Prec@1 32.422 (35.166) Prec@5 54.688 (60.790)
Epoch: [12][2740/5005] Time 0.200 (0.224) Data 0.052 (0.073) Loss 2.9964 (3.0070) Prec@1 34.375 (35.165) Prec@5 63.672 (60.797)
Epoch: [12][2750/5005] Time 0.214 (0.224) Data 0.045 (0.073) Loss 2.9751 (3.0068) Prec@1 33.203 (35.168) Prec@5 62.109 (60.799)
Epoch: [12][2760/5005] Time 0.208 (0.224) Data 0.042 (0.073) Loss 3.0423 (3.0067) Prec@1 33.984 (35.174) Prec@5 58.984 (60.802)
Epoch: [12][2770/5005] Time 0.279 (0.224) Data 0.193 (0.073) Loss 2.9170 (3.0068) Prec@1 35.547 (35.169) Prec@5 60.938 (60.800)
Epoch: [12][2780/5005] Time 0.196 (0.224) Data 0.050 (0.073) Loss 3.2626 (3.0068) Prec@1 28.906 (35.171) Prec@5 55.859 (60.803)
Epoch: [12][2790/5005] Time 0.209 (0.224) Data 0.040 (0.073) Loss 3.4112 (3.0070) Prec@1 26.953 (35.168) Prec@5 51.172 (60.802)
Epoch: [12][2800/5005] Time 0.202 (0.224) Data 0.110 (0.073) Loss 2.8790 (3.0070) Prec@1 33.203 (35.169) Prec@5 62.891 (60.802)
Epoch: [12][2810/5005] Time 0.210 (0.224) Data 0.044 (0.073) Loss 3.1013 (3.0070) Prec@1 34.766 (35.166) Prec@5 59.375 (60.806)
Epoch: [12][2820/5005] Time 0.477 (0.224) Data 0.391 (0.073) Loss 2.7378 (3.0069) Prec@1 37.500 (35.169) Prec@5 66.797 (60.810)
Epoch: [12][2830/5005] Time 0.197 (0.224) Data 0.045 (0.073) Loss 3.2527 (3.0069) Prec@1 28.906 (35.167) Prec@5 57.812 (60.809)
Epoch: [12][2840/5005] Time 0.202 (0.224) Data 0.046 (0.073) Loss 3.0765 (3.0069) Prec@1 33.594 (35.166) Prec@5 59.375 (60.808)
Epoch: [12][2850/5005] Time 0.206 (0.224) Data 0.042 (0.073) Loss 2.9911 (3.0067) Prec@1 36.719 (35.166) Prec@5 57.812 (60.812)
Epoch: [12][2860/5005] Time 0.202 (0.224) Data 0.048 (0.073) Loss 3.0395 (3.0070) Prec@1 35.547 (35.163) Prec@5 59.375 (60.811)
Epoch: [12][2870/5005] Time 0.200 (0.224) Data 0.045 (0.073) Loss 2.9747 (3.0067) Prec@1 35.938 (35.170) Prec@5 65.625 (60.819)
Epoch: [12][2880/5005] Time 0.211 (0.224) Data 0.047 (0.073) Loss 3.1069 (3.0069) Prec@1 30.078 (35.167) Prec@5 60.156 (60.818)
Epoch: [12][2890/5005] Time 0.213 (0.224) Data 0.040 (0.073) Loss 3.1691 (3.0068) Prec@1 30.859 (35.170) Prec@5 60.547 (60.821)
Epoch: [12][2900/5005] Time 0.212 (0.224) Data 0.046 (0.073) Loss 2.7351 (3.0067) Prec@1 35.938 (35.171) Prec@5 64.844 (60.829)
Epoch: [12][2910/5005] Time 0.196 (0.224) Data 0.082 (0.073) Loss 3.0632 (3.0067) Prec@1 32.031 (35.171) Prec@5 58.594 (60.828)
Epoch: [12][2920/5005] Time 0.205 (0.224) Data 0.040 (0.073) Loss 3.0651 (3.0066) Prec@1 34.375 (35.176) Prec@5 59.766 (60.834)
Epoch: [12][2930/5005] Time 0.198 (0.224) Data 0.044 (0.073) Loss 3.2033 (3.0066) Prec@1 31.250 (35.173) Prec@5 57.422 (60.833)
Epoch: [12][2940/5005] Time 0.328 (0.224) Data 0.243 (0.073) Loss 3.0556 (3.0066) Prec@1 31.641 (35.168) Prec@5 59.375 (60.835)
Epoch: [12][2950/5005] Time 0.216 (0.224) Data 0.042 (0.073) Loss 3.1821 (3.0065) Prec@1 31.641 (35.169) Prec@5 57.031 (60.835)
Epoch: [12][2960/5005] Time 0.200 (0.224) Data 0.049 (0.073) Loss 2.9752 (3.0064) Prec@1 39.062 (35.173) Prec@5 62.500 (60.836)
Epoch: [12][2970/5005] Time 0.199 (0.224) Data 0.057 (0.073) Loss 3.2051 (3.0064) Prec@1 33.594 (35.174) Prec@5 59.766 (60.836)
Epoch: [12][2980/5005] Time 0.196 (0.224) Data 0.044 (0.073) Loss 3.0003 (3.0065) Prec@1 35.156 (35.172) Prec@5 63.281 (60.834)
Epoch: [12][2990/5005] Time 0.195 (0.224) Data 0.059 (0.073) Loss 2.9814 (3.0065) Prec@1 37.500 (35.170) Prec@5 60.156 (60.832)
Epoch: [12][3000/5005] Time 0.355 (0.224) Data 0.268 (0.073) Loss 2.9908 (3.0064) Prec@1 33.203 (35.172) Prec@5 62.109 (60.835)
Epoch: [12][3010/5005] Time 0.204 (0.224) Data 0.084 (0.073) Loss 2.9533 (3.0066) Prec@1 33.984 (35.172) Prec@5 61.328 (60.831)
Epoch: [12][3020/5005] Time 0.197 (0.224) Data 0.040 (0.073) Loss 2.9038 (3.0069) Prec@1 37.500 (35.170) Prec@5 65.234 (60.827)
Epoch: [12][3030/5005] Time 0.224 (0.224) Data 0.142 (0.073) Loss 3.1349 (3.0070) Prec@1 35.547 (35.169) Prec@5 61.719 (60.826)
Epoch: [12][3040/5005] Time 0.202 (0.224) Data 0.043 (0.073) Loss 2.7119 (3.0069) Prec@1 37.891 (35.171) Prec@5 62.891 (60.827)
Epoch: [12][3050/5005] Time 0.301 (0.224) Data 0.211 (0.073) Loss 3.0735 (3.0069) Prec@1 31.641 (35.166) Prec@5 60.547 (60.827)
Epoch: [12][3060/5005] Time 0.199 (0.224) Data 0.047 (0.073) Loss 2.9339 (3.0067) Prec@1 35.547 (35.167) Prec@5 59.766 (60.828)
Epoch: [12][3070/5005] Time 0.346 (0.224) Data 0.262 (0.073) Loss 3.0428 (3.0068) Prec@1 37.891 (35.169) Prec@5 60.547 (60.827)
Epoch: [12][3080/5005] Time 0.202 (0.224) Data 0.043 (0.073) Loss 2.9852 (3.0068) Prec@1 35.156 (35.165) Prec@5 59.766 (60.827)
Epoch: [12][3090/5005] Time 0.206 (0.224) Data 0.042 (0.073) Loss 3.4026 (3.0069) Prec@1 26.953 (35.159) Prec@5 51.953 (60.825)
Epoch: [12][3100/5005] Time 0.451 (0.224) Data 0.372 (0.073) Loss 2.9516 (3.0069) Prec@1 37.500 (35.159) Prec@5 63.672 (60.824)
Epoch: [12][3110/5005] Time 0.207 (0.224) Data 0.040 (0.073) Loss 2.7255 (3.0066) Prec@1 39.062 (35.162) Prec@5 66.406 (60.828)
Epoch: [12][3120/5005] Time 0.208 (0.224) Data 0.051 (0.073) Loss 3.1314 (3.0068) Prec@1 29.297 (35.157) Prec@5 58.203 (60.826)
Epoch: [12][3130/5005] Time 0.195 (0.224) Data 0.060 (0.073) Loss 3.0674 (3.0066) Prec@1 31.641 (35.163) Prec@5 61.719 (60.831)
Epoch: [12][3140/5005] Time 0.198 (0.224) Data 0.049 (0.074) Loss 2.7801 (3.0064) Prec@1 40.234 (35.169) Prec@5 64.062 (60.835)
Epoch: [12][3150/5005] Time 0.197 (0.224) Data 0.046 (0.073) Loss 2.9955 (3.0063) Prec@1 36.328 (35.170) Prec@5 63.281 (60.838)
Epoch: [12][3160/5005] Time 0.197 (0.224) Data 0.057 (0.074) Loss 2.8878 (3.0065) Prec@1 38.281 (35.170) Prec@5 62.891 (60.835)
Epoch: [12][3170/5005] Time 0.213 (0.224) Data 0.056 (0.074) Loss 2.9964 (3.0065) Prec@1 37.109 (35.172) Prec@5 60.938 (60.834)
Epoch: [12][3180/5005] Time 0.338 (0.224) Data 0.256 (0.074) Loss 2.8545 (3.0066) Prec@1 39.844 (35.171) Prec@5 65.234 (60.836)
Epoch: [12][3190/5005] Time 0.208 (0.224) Data 0.049 (0.074) Loss 2.8822 (3.0066) Prec@1 37.500 (35.171) Prec@5 62.109 (60.838)
Epoch: [12][3200/5005] Time 0.203 (0.224) Data 0.087 (0.074) Loss 2.9956 (3.0065) Prec@1 32.812 (35.172) Prec@5 62.500 (60.843)
Epoch: [12][3210/5005] Time 0.194 (0.224) Data 0.043 (0.074) Loss 3.1078 (3.0066) Prec@1 33.594 (35.174) Prec@5 59.375 (60.841)
Epoch: [12][3220/5005] Time 0.203 (0.224) Data 0.049 (0.074) Loss 3.1551 (3.0067) Prec@1 34.766 (35.178) Prec@5 58.203 (60.842)
Epoch: [12][3230/5005] Time 0.202 (0.224) Data 0.043 (0.074) Loss 2.9273 (3.0065) Prec@1 36.719 (35.180) Prec@5 62.500 (60.850)
Epoch: [12][3240/5005] Time 0.205 (0.224) Data 0.046 (0.074) Loss 3.3248 (3.0069) Prec@1 30.859 (35.174) Prec@5 57.031 (60.843)
Epoch: [12][3250/5005] Time 0.192 (0.224) Data 0.048 (0.074) Loss 2.9896 (3.0070) Prec@1 36.719 (35.173) Prec@5 58.203 (60.843)
Epoch: [12][3260/5005] Time 0.201 (0.224) Data 0.041 (0.074) Loss 3.0150 (3.0071) Prec@1 32.031 (35.169) Prec@5 59.766 (60.840)
Epoch: [12][3270/5005] Time 0.203 (0.224) Data 0.050 (0.074) Loss 3.1300 (3.0070) Prec@1 33.594 (35.169) Prec@5 56.250 (60.839)
Epoch: [12][3280/5005] Time 0.302 (0.224) Data 0.219 (0.074) Loss 2.9479 (3.0073) Prec@1 35.938 (35.164) Prec@5 64.453 (60.834)
Epoch: [12][3290/5005] Time 0.201 (0.224) Data 0.039 (0.074) Loss 3.0038 (3.0072) Prec@1 34.766 (35.162) Prec@5 61.328 (60.836)
Epoch: [12][3300/5005] Time 0.194 (0.224) Data 0.047 (0.074) Loss 2.8390 (3.0071) Prec@1 35.938 (35.163) Prec@5 62.500 (60.832)
Epoch: [12][3310/5005] Time 0.204 (0.224) Data 0.040 (0.074) Loss 2.9709 (3.0072) Prec@1 38.672 (35.164) Prec@5 61.719 (60.829)
Epoch: [12][3320/5005] Time 0.227 (0.224) Data 0.134 (0.074) Loss 3.2425 (3.0072) Prec@1 31.641 (35.163) Prec@5 57.812 (60.828)
Epoch: [12][3330/5005] Time 0.204 (0.224) Data 0.047 (0.074) Loss 3.0422 (3.0072) Prec@1 33.984 (35.165) Prec@5 58.594 (60.827)
Epoch: [12][3340/5005] Time 0.202 (0.224) Data 0.056 (0.074) Loss 3.0835 (3.0072) Prec@1 36.328 (35.166) Prec@5 61.719 (60.831)
Epoch: [12][3350/5005] Time 0.476 (0.224) Data 0.389 (0.074) Loss 3.0117 (3.0073) Prec@1 35.156 (35.164) Prec@5 64.453 (60.831)
Epoch: [12][3360/5005] Time 0.195 (0.224) Data 0.046 (0.074) Loss 2.8747 (3.0073) Prec@1 37.500 (35.168) Prec@5 64.844 (60.830)
Epoch: [12][3370/5005] Time 0.196 (0.224) Data 0.041 (0.074) Loss 2.9573 (3.0072) Prec@1 31.641 (35.169) Prec@5 62.891 (60.833)
Epoch: [12][3380/5005] Time 0.202 (0.224) Data 0.099 (0.074) Loss 2.9259 (3.0070) Prec@1 35.547 (35.168) Prec@5 63.672 (60.834)
Epoch: [12][3390/5005] Time 0.204 (0.224) Data 0.044 (0.074) Loss 2.9090 (3.0072) Prec@1 34.766 (35.161) Prec@5 62.109 (60.829)
Epoch: [12][3400/5005] Time 0.202 (0.224) Data 0.045 (0.074) Loss 2.9162 (3.0073) Prec@1 37.500 (35.158) Prec@5 62.500 (60.827)
Epoch: [12][3410/5005] Time 0.198 (0.224) Data 0.062 (0.074) Loss 2.9233 (3.0072) Prec@1 36.328 (35.162) Prec@5 61.719 (60.828)
Epoch: [12][3420/5005] Time 0.202 (0.224) Data 0.046 (0.074) Loss 3.0056 (3.0073) Prec@1 32.812 (35.158) Prec@5 62.109 (60.827)
Epoch: [12][3430/5005] Time 0.220 (0.224) Data 0.047 (0.075) Loss 2.9178 (3.0073) Prec@1 39.062 (35.159) Prec@5 60.156 (60.830)
Epoch: [12][3440/5005] Time 0.206 (0.224) Data 0.049 (0.075) Loss 3.0885 (3.0072) Prec@1 33.594 (35.156) Prec@5 56.641 (60.831)
Epoch: [12][3450/5005] Time 0.204 (0.224) Data 0.079 (0.075) Loss 2.7609 (3.0071) Prec@1 40.234 (35.159) Prec@5 62.109 (60.833)
Epoch: [12][3460/5005] Time 0.603 (0.224) Data 0.524 (0.075) Loss 2.9718 (3.0074) Prec@1 35.156 (35.155) Prec@5 62.109 (60.828)
Epoch: [12][3470/5005] Time 0.216 (0.224) Data 0.133 (0.075) Loss 2.9003 (3.0071) Prec@1 33.594 (35.159) Prec@5 62.109 (60.830)
Epoch: [12][3480/5005] Time 0.196 (0.224) Data 0.046 (0.075) Loss 2.8627 (3.0069) Prec@1 36.328 (35.161) Prec@5 62.500 (60.832)
Epoch: [12][3490/5005] Time 0.204 (0.224) Data 0.047 (0.075) Loss 3.0502 (3.0071) Prec@1 32.422 (35.159) Prec@5 57.812 (60.828)
Epoch: [12][3500/5005] Time 0.262 (0.224) Data 0.178 (0.075) Loss 2.9144 (3.0072) Prec@1 35.547 (35.156) Prec@5 63.281 (60.824)
Epoch: [12][3510/5005] Time 0.202 (0.224) Data 0.099 (0.075) Loss 2.9507 (3.0071) Prec@1 34.766 (35.154) Prec@5 60.938 (60.828)
Epoch: [12][3520/5005] Time 0.209 (0.224) Data 0.046 (0.075) Loss 3.2161 (3.0071) Prec@1 32.812 (35.155) Prec@5 58.984 (60.827)
Epoch: [12][3530/5005] Time 0.200 (0.224) Data 0.056 (0.075) Loss 2.9309 (3.0070) Prec@1 39.062 (35.161) Prec@5 64.062 (60.830)
Epoch: [12][3540/5005] Time 0.201 (0.224) Data 0.042 (0.075) Loss 2.8726 (3.0068) Prec@1 30.859 (35.162) Prec@5 64.062 (60.832)
Epoch: [12][3550/5005] Time 0.204 (0.224) Data 0.044 (0.075) Loss 3.0154 (3.0067) Prec@1 32.812 (35.164) Prec@5 60.547 (60.834)
Epoch: [12][3560/5005] Time 0.194 (0.224) Data 0.060 (0.075) Loss 3.0692 (3.0067) Prec@1 33.594 (35.164) Prec@5 57.031 (60.833)
Epoch: [12][3570/5005] Time 0.203 (0.224) Data 0.115 (0.075) Loss 3.0482 (3.0067) Prec@1 35.547 (35.164) Prec@5 61.328 (60.834)
Epoch: [12][3580/5005] Time 0.203 (0.224) Data 0.044 (0.075) Loss 2.9894 (3.0067) Prec@1 37.109 (35.164) Prec@5 59.375 (60.833)
Epoch: [12][3590/5005] Time 0.510 (0.224) Data 0.418 (0.075) Loss 3.0360 (3.0065) Prec@1 32.812 (35.168) Prec@5 59.375 (60.837)
Epoch: [12][3600/5005] Time 0.199 (0.224) Data 0.059 (0.075) Loss 3.1776 (3.0064) Prec@1 36.719 (35.172) Prec@5 59.766 (60.836)
Epoch: [12][3610/5005] Time 0.195 (0.224) Data 0.052 (0.075) Loss 2.8539 (3.0064) Prec@1 38.672 (35.171) Prec@5 64.062 (60.836)
Epoch: [12][3620/5005] Time 0.195 (0.224) Data 0.046 (0.075) Loss 3.0838 (3.0062) Prec@1 34.375 (35.176) Prec@5 55.859 (60.838)
Epoch: [12][3630/5005] Time 0.196 (0.224) Data 0.048 (0.075) Loss 3.2644 (3.0062) Prec@1 34.375 (35.177) Prec@5 55.859 (60.839)
Epoch: [12][3640/5005] Time 0.206 (0.224) Data 0.055 (0.075) Loss 3.0602 (3.0061) Prec@1 31.250 (35.177) Prec@5 58.984 (60.839)
Epoch: [12][3650/5005] Time 0.198 (0.224) Data 0.052 (0.075) Loss 2.7893 (3.0063) Prec@1 39.453 (35.173) Prec@5 65.625 (60.839)
Epoch: [12][3660/5005] Time 0.196 (0.224) Data 0.047 (0.075) Loss 3.0902 (3.0060) Prec@1 32.812 (35.176) Prec@5 58.984 (60.841)
Epoch: [12][3670/5005] Time 0.209 (0.224) Data 0.044 (0.075) Loss 3.0820 (3.0062) Prec@1 35.938 (35.178) Prec@5 57.812 (60.838)
Epoch: [12][3680/5005] Time 0.203 (0.224) Data 0.089 (0.075) Loss 3.0140 (3.0063) Prec@1 35.547 (35.176) Prec@5 60.156 (60.835)
Epoch: [12][3690/5005] Time 0.192 (0.224) Data 0.047 (0.075) Loss 2.9121 (3.0063) Prec@1 34.375 (35.176) Prec@5 65.234 (60.837)
Epoch: [12][3700/5005] Time 0.205 (0.224) Data 0.044 (0.075) Loss 3.0000 (3.0063) Prec@1 37.891 (35.174) Prec@5 60.938 (60.838)
Epoch: [12][3710/5005] Time 0.277 (0.224) Data 0.192 (0.075) Loss 2.9092 (3.0064) Prec@1 35.547 (35.172) Prec@5 64.062 (60.839)
Epoch: [12][3720/5005] Time 0.196 (0.224) Data 0.061 (0.075) Loss 3.2611 (3.0063) Prec@1 31.250 (35.173) Prec@5 60.938 (60.840)
Epoch: [12][3730/5005] Time 0.198 (0.224) Data 0.049 (0.076) Loss 2.9779 (3.0064) Prec@1 38.672 (35.174) Prec@5 61.328 (60.837)
Epoch: [12][3740/5005] Time 0.202 (0.224) Data 0.040 (0.076) Loss 2.8891 (3.0060) Prec@1 39.062 (35.177) Prec@5 60.547 (60.843)
Epoch: [12][3750/5005] Time 0.195 (0.224) Data 0.093 (0.076) Loss 2.9866 (3.0061) Prec@1 35.156 (35.175) Prec@5 60.547 (60.841)
Epoch: [12][3760/5005] Time 0.202 (0.224) Data 0.045 (0.076) Loss 2.9626 (3.0063) Prec@1 35.938 (35.173) Prec@5 62.109 (60.838)
Epoch: [12][3770/5005] Time 0.206 (0.224) Data 0.043 (0.076) Loss 3.2071 (3.0061) Prec@1 34.766 (35.174) Prec@5 56.250 (60.840)
Epoch: [12][3780/5005] Time 0.203 (0.224) Data 0.049 (0.076) Loss 2.9939 (3.0060) Prec@1 35.156 (35.173) Prec@5 63.281 (60.842)
Epoch: [12][3790/5005] Time 0.209 (0.224) Data 0.045 (0.076) Loss 3.2296 (3.0062) Prec@1 33.594 (35.172) Prec@5 57.422 (60.838)
Epoch: [12][3800/5005] Time 0.202 (0.224) Data 0.046 (0.076) Loss 2.9678 (3.0063) Prec@1 35.547 (35.171) Prec@5 59.766 (60.835)
Epoch: [12][3810/5005] Time 0.198 (0.224) Data 0.044 (0.076) Loss 3.0093 (3.0064) Prec@1 33.984 (35.166) Prec@5 66.016 (60.832)
Epoch: [12][3820/5005] Time 0.202 (0.224) Data 0.048 (0.076) Loss 2.9978 (3.0063) Prec@1 34.766 (35.170) Prec@5 60.547 (60.836)
Epoch: [12][3830/5005] Time 0.208 (0.224) Data 0.050 (0.076) Loss 3.1370 (3.0062) Prec@1 30.078 (35.173) Prec@5 55.859 (60.837)
Epoch: [12][3840/5005] Time 0.313 (0.224) Data 0.224 (0.076) Loss 3.3137 (3.0063) Prec@1 25.781 (35.171) Prec@5 55.078 (60.836)
Epoch: [12][3850/5005] Time 0.195 (0.224) Data 0.061 (0.076) Loss 3.1394 (3.0063) Prec@1 33.594 (35.172) Prec@5 59.375 (60.836)
Epoch: [12][3860/5005] Time 0.192 (0.224) Data 0.093 (0.076) Loss 2.6772 (3.0063) Prec@1 39.453 (35.175) Prec@5 67.578 (60.838)
Epoch: [12][3870/5005] Time 0.202 (0.224) Data 0.049 (0.076) Loss 3.0361 (3.0064) Prec@1 32.812 (35.173) Prec@5 60.547 (60.837)
Epoch: [12][3880/5005] Time 0.207 (0.224) Data 0.043 (0.076) Loss 3.0278 (3.0064) Prec@1 35.156 (35.170) Prec@5 59.375 (60.837)
Epoch: [12][3890/5005] Time 0.307 (0.224) Data 0.230 (0.076) Loss 3.2489 (3.0064) Prec@1 30.859 (35.173) Prec@5 59.766 (60.837)
Epoch: [12][3900/5005] Time 0.244 (0.224) Data 0.163 (0.076) Loss 3.3078 (3.0065) Prec@1 33.594 (35.171) Prec@5 56.250 (60.836)
Epoch: [12][3910/5005] Time 0.202 (0.224) Data 0.042 (0.076) Loss 3.0877 (3.0065) Prec@1 33.594 (35.169) Prec@5 58.984 (60.834)
Epoch: [12][3920/5005] Time 0.197 (0.224) Data 0.045 (0.076) Loss 2.9761 (3.0064) Prec@1 36.328 (35.171) Prec@5 61.328 (60.834)
Epoch: [12][3930/5005] Time 0.203 (0.224) Data 0.040 (0.076) Loss 3.0139 (3.0063) Prec@1 37.109 (35.171) Prec@5 58.984 (60.837)
Epoch: [12][3940/5005] Time 0.217 (0.224) Data 0.047 (0.076) Loss 2.9444 (3.0063) Prec@1 37.500 (35.168) Prec@5 59.375 (60.836)
Epoch: [12][3950/5005] Time 0.202 (0.224) Data 0.113 (0.076) Loss 2.9031 (3.0062) Prec@1 40.234 (35.170) Prec@5 61.719 (60.838)
Epoch: [12][3960/5005] Time 0.210 (0.224) Data 0.045 (0.076) Loss 2.8256 (3.0061) Prec@1 36.328 (35.170) Prec@5 64.453 (60.838)
Epoch: [12][3970/5005] Time 0.311 (0.224) Data 0.229 (0.076) Loss 2.9643 (3.0061) Prec@1 35.156 (35.170) Prec@5 60.156 (60.840)
Epoch: [12][3980/5005] Time 0.209 (0.224) Data 0.040 (0.076) Loss 2.7306 (3.0060) Prec@1 37.109 (35.170) Prec@5 66.797 (60.841)
Epoch: [12][3990/5005] Time 0.200 (0.224) Data 0.051 (0.076) Loss 3.1670 (3.0061) Prec@1 31.641 (35.167) Prec@5 57.422 (60.837)
Epoch: [12][4000/5005] Time 0.209 (0.224) Data 0.047 (0.076) Loss 3.0521 (3.0061) Prec@1 33.984 (35.167) Prec@5 61.328 (60.836)
Epoch: [12][4010/5005] Time 0.194 (0.224) Data 0.064 (0.076) Loss 3.0940 (3.0059) Prec@1 32.031 (35.171) Prec@5 60.156 (60.838)
Epoch: [12][4020/5005] Time 0.206 (0.224) Data 0.048 (0.076) Loss 3.1539 (3.0059) Prec@1 34.766 (35.173) Prec@5 55.859 (60.838)
Epoch: [12][4030/5005] Time 0.194 (0.224) Data 0.048 (0.076) Loss 3.1443 (3.0062) Prec@1 36.719 (35.171) Prec@5 58.984 (60.832)
Epoch: [12][4040/5005] Time 0.289 (0.224) Data 0.196 (0.076) Loss 3.1037 (3.0064) Prec@1 35.938 (35.169) Prec@5 54.688 (60.828)
Epoch: [12][4050/5005] Time 0.214 (0.224) Data 0.042 (0.076) Loss 3.1543 (3.0064) Prec@1 32.031 (35.172) Prec@5 56.641 (60.827)
Epoch: [12][4060/5005] Time 0.204 (0.224) Data 0.091 (0.076) Loss 3.0998 (3.0063) Prec@1 33.594 (35.170) Prec@5 55.469 (60.829)
Epoch: [12][4070/5005] Time 0.203 (0.224) Data 0.046 (0.076) Loss 3.1481 (3.0064) Prec@1 37.109 (35.167) Prec@5 60.547 (60.828)
Epoch: [12][4080/5005] Time 0.204 (0.224) Data 0.045 (0.076) Loss 2.8685 (3.0064) Prec@1 34.766 (35.169) Prec@5 61.719 (60.830)
Epoch: [12][4090/5005] Time 0.204 (0.224) Data 0.040 (0.076) Loss 3.0486 (3.0064) Prec@1 32.812 (35.168) Prec@5 60.938 (60.830)
Epoch: [12][4100/5005] Time 0.423 (0.224) Data 0.342 (0.076) Loss 2.9303 (3.0063) Prec@1 35.547 (35.169) Prec@5 61.328 (60.832)
Epoch: [12][4110/5005] Time 0.197 (0.224) Data 0.050 (0.076) Loss 3.2621 (3.0063) Prec@1 29.688 (35.166) Prec@5 56.250 (60.830)
Epoch: [12][4120/5005] Time 0.235 (0.224) Data 0.158 (0.076) Loss 3.1436 (3.0062) Prec@1 35.547 (35.166) Prec@5 57.812 (60.831)
Epoch: [12][4130/5005] Time 0.206 (0.224) Data 0.062 (0.076) Loss 3.2911 (3.0063) Prec@1 28.516 (35.165) Prec@5 55.078 (60.830)
Epoch: [12][4140/5005] Time 0.197 (0.224) Data 0.043 (0.076) Loss 2.9690 (3.0062) Prec@1 32.031 (35.163) Prec@5 60.547 (60.833)
Epoch: [12][4150/5005] Time 0.204 (0.224) Data 0.052 (0.076) Loss 3.2670 (3.0064) Prec@1 33.594 (35.162) Prec@5 57.812 (60.830)
Epoch: [12][4160/5005] Time 0.196 (0.224) Data 0.052 (0.076) Loss 2.9995 (3.0066) Prec@1 32.422 (35.159) Prec@5 61.719 (60.828)
Epoch: [12][4170/5005] Time 0.210 (0.224) Data 0.057 (0.076) Loss 2.9089 (3.0064) Prec@1 34.375 (35.160) Prec@5 66.797 (60.834)
Epoch: [12][4180/5005] Time 0.214 (0.224) Data 0.046 (0.076) Loss 2.8962 (3.0063) Prec@1 41.797 (35.163) Prec@5 60.547 (60.834)
Epoch: [12][4190/5005] Time 0.205 (0.224) Data 0.043 (0.076) Loss 2.8744 (3.0064) Prec@1 39.062 (35.164) Prec@5 65.234 (60.834)
Epoch: [12][4200/5005] Time 0.551 (0.224) Data 0.468 (0.077) Loss 2.8320 (3.0063) Prec@1 42.969 (35.167) Prec@5 60.156 (60.838)
Epoch: [12][4210/5005] Time 0.197 (0.224) Data 0.044 (0.076) Loss 2.9604 (3.0062) Prec@1 32.031 (35.168) Prec@5 60.156 (60.839)
Epoch: [12][4220/5005] Time 0.205 (0.224) Data 0.048 (0.077) Loss 3.1050 (3.0064) Prec@1 34.375 (35.164) Prec@5 62.109 (60.836)
Epoch: [12][4230/5005] Time 0.200 (0.224) Data 0.051 (0.077) Loss 3.2056 (3.0065) Prec@1 33.594 (35.163) Prec@5 58.984 (60.835)
Epoch: [12][4240/5005] Time 0.195 (0.224) Data 0.047 (0.077) Loss 2.9424 (3.0066) Prec@1 34.375 (35.162) Prec@5 60.156 (60.833)
Epoch: [12][4250/5005] Time 0.204 (0.224) Data 0.050 (0.077) Loss 2.9269 (3.0063) Prec@1 37.109 (35.166) Prec@5 62.891 (60.837)
Epoch: [12][4260/5005] Time 0.203 (0.224) Data 0.058 (0.077) Loss 3.0254 (3.0064) Prec@1 33.984 (35.162) Prec@5 57.422 (60.836)
Epoch: [12][4270/5005] Time 0.205 (0.224) Data 0.045 (0.076) Loss 3.2962 (3.0066) Prec@1 29.688 (35.160) Prec@5 57.422 (60.834)
Epoch: [12][4280/5005] Time 0.205 (0.224) Data 0.043 (0.076) Loss 3.0878 (3.0066) Prec@1 30.859 (35.163) Prec@5 63.672 (60.834)
Epoch: [12][4290/5005] Time 0.196 (0.224) Data 0.119 (0.076) Loss 3.1869 (3.0066) Prec@1 32.812 (35.163) Prec@5 60.156 (60.834)
Epoch: [12][4300/5005] Time 0.202 (0.224) Data 0.040 (0.076) Loss 2.8675 (3.0065) Prec@1 37.109 (35.163) Prec@5 62.891 (60.836)
Epoch: [12][4310/5005] Time 0.204 (0.224) Data 0.042 (0.076) Loss 2.8138 (3.0065) Prec@1 39.062 (35.164) Prec@5 64.844 (60.837)
Epoch: [12][4320/5005] Time 0.201 (0.224) Data 0.051 (0.076) Loss 3.0726 (3.0066) Prec@1 34.375 (35.165) Prec@5 57.031 (60.834)
Epoch: [12][4330/5005] Time 0.344 (0.224) Data 0.257 (0.076) Loss 2.9767 (3.0066) Prec@1 31.641 (35.165) Prec@5 60.938 (60.833)
Epoch: [12][4340/5005] Time 0.204 (0.224) Data 0.041 (0.076) Loss 2.9621 (3.0068) Prec@1 35.547 (35.160) Prec@5 59.375 (60.828)
Epoch: [12][4350/5005] Time 0.195 (0.224) Data 0.043 (0.076) Loss 3.1629 (3.0068) Prec@1 35.156 (35.164) Prec@5 59.375 (60.830)
Epoch: [12][4360/5005] Time 0.213 (0.225) Data 0.133 (0.077) Loss 2.9415 (3.0068) Prec@1 35.547 (35.162) Prec@5 61.328 (60.831)
Epoch: [12][4370/5005] Time 0.198 (0.225) Data 0.039 (0.077) Loss 3.0499 (3.0067) Prec@1 35.156 (35.162) Prec@5 61.328 (60.832)
Epoch: [12][4380/5005] Time 0.197 (0.225) Data 0.051 (0.077) Loss 3.1705 (3.0067) Prec@1 28.516 (35.160) Prec@5 56.250 (60.832)
Epoch: [12][4390/5005] Time 0.189 (0.225) Data 0.057 (0.077) Loss 3.0871 (3.0066) Prec@1 31.641 (35.163) Prec@5 60.938 (60.837)
Epoch: [12][4400/5005] Time 0.215 (0.224) Data 0.045 (0.077) Loss 2.9446 (3.0065) Prec@1 35.547 (35.163) Prec@5 58.203 (60.836)
Epoch: [12][4410/5005] Time 0.210 (0.224) Data 0.043 (0.077) Loss 3.0529 (3.0064) Prec@1 34.375 (35.164) Prec@5 61.328 (60.836)
Epoch: [12][4420/5005] Time 0.198 (0.224) Data 0.115 (0.077) Loss 2.7647 (3.0064) Prec@1 39.453 (35.163) Prec@5 63.672 (60.834)
Epoch: [12][4430/5005] Time 0.351 (0.224) Data 0.262 (0.077) Loss 3.1462 (3.0061) Prec@1 32.812 (35.167) Prec@5 57.812 (60.840)
Epoch: [12][4440/5005] Time 0.203 (0.224) Data 0.045 (0.077) Loss 3.0255 (3.0061) Prec@1 36.719 (35.170) Prec@5 62.891 (60.843)
Epoch: [12][4450/5005] Time 0.198 (0.224) Data 0.049 (0.077) Loss 2.8855 (3.0061) Prec@1 37.891 (35.169) Prec@5 62.109 (60.842)
Epoch: [12][4460/5005] Time 0.196 (0.224) Data 0.070 (0.077) Loss 3.0206 (3.0059) Prec@1 33.594 (35.171) Prec@5 60.547 (60.845)
Epoch: [12][4470/5005] Time 0.213 (0.224) Data 0.045 (0.077) Loss 2.9888 (3.0060) Prec@1 33.203 (35.170) Prec@5 61.719 (60.845)
Epoch: [12][4480/5005] Time 0.203 (0.224) Data 0.055 (0.077) Loss 2.7631 (3.0061) Prec@1 40.625 (35.171) Prec@5 62.500 (60.843)
Epoch: [12][4490/5005] Time 0.205 (0.224) Data 0.046 (0.077) Loss 3.0230 (3.0062) Prec@1 35.156 (35.170) Prec@5 58.594 (60.841)
Epoch: [12][4500/5005] Time 0.196 (0.224) Data 0.057 (0.077) Loss 2.8017 (3.0062) Prec@1 38.281 (35.171) Prec@5 65.234 (60.841)
Epoch: [12][4510/5005] Time 0.203 (0.224) Data 0.053 (0.077) Loss 2.8501 (3.0062) Prec@1 37.500 (35.171) Prec@5 62.891 (60.842)
Epoch: [12][4520/5005] Time 0.387 (0.224) Data 0.303 (0.077) Loss 2.9846 (3.0060) Prec@1 33.984 (35.173) Prec@5 63.281 (60.846)
Epoch: [12][4530/5005] Time 0.196 (0.224) Data 0.045 (0.077) Loss 2.9077 (3.0059) Prec@1 36.719 (35.176) Prec@5 66.016 (60.847)
Epoch: [12][4540/5005] Time 0.238 (0.224) Data 0.152 (0.077) Loss 3.1378 (3.0061) Prec@1 33.984 (35.171) Prec@5 61.719 (60.843)
Epoch: [12][4550/5005] Time 0.201 (0.224) Data 0.047 (0.077) Loss 3.0064 (3.0063) Prec@1 36.328 (35.170) Prec@5 63.672 (60.841)
Epoch: [12][4560/5005] Time 0.221 (0.224) Data 0.136 (0.077) Loss 3.0151 (3.0063) Prec@1 37.500 (35.171) Prec@5 60.156 (60.841)
Epoch: [12][4570/5005] Time 0.203 (0.224) Data 0.056 (0.077) Loss 3.1282 (3.0062) Prec@1 32.031 (35.170) Prec@5 58.984 (60.841)
Epoch: [12][4580/5005] Time 0.207 (0.224) Data 0.052 (0.077) Loss 3.1871 (3.0061) Prec@1 33.203 (35.172) Prec@5 53.125 (60.842)
Epoch: [12][4590/5005] Time 0.204 (0.224) Data 0.040 (0.077) Loss 2.8199 (3.0061) Prec@1 36.719 (35.170) Prec@5 61.719 (60.844)
Epoch: [12][4600/5005] Time 0.581 (0.224) Data 0.493 (0.077) Loss 2.7045 (3.0061) Prec@1 41.406 (35.168) Prec@5 65.625 (60.843)
Epoch: [12][4610/5005] Time 0.201 (0.224) Data 0.042 (0.077) Loss 2.9092 (3.0060) Prec@1 35.156 (35.169) Prec@5 62.891 (60.845)
Epoch: [12][4620/5005] Time 0.197 (0.224) Data 0.044 (0.077) Loss 2.8364 (3.0060) Prec@1 37.500 (35.171) Prec@5 62.891 (60.845)
Epoch: [12][4630/5005] Time 0.202 (0.224) Data 0.040 (0.077) Loss 2.8951 (3.0059) Prec@1 33.984 (35.172) Prec@5 64.844 (60.847)
Epoch: [12][4640/5005] Time 0.200 (0.224) Data 0.045 (0.077) Loss 2.9448 (3.0059) Prec@1 35.547 (35.171) Prec@5 65.625 (60.848)
Epoch: [12][4650/5005] Time 0.199 (0.224) Data 0.057 (0.077) Loss 3.0462 (3.0059) Prec@1 32.422 (35.172) Prec@5 56.250 (60.847)
Epoch: [12][4660/5005] Time 0.194 (0.225) Data 0.046 (0.077) Loss 3.2761 (3.0059) Prec@1 30.078 (35.171) Prec@5 53.125 (60.845)
Epoch: [12][4670/5005] Time 0.200 (0.225) Data 0.041 (0.077) Loss 2.8823 (3.0058) Prec@1 34.375 (35.171) Prec@5 65.234 (60.847)
Epoch: [12][4680/5005] Time 0.198 (0.224) Data 0.047 (0.077) Loss 3.0537 (3.0059) Prec@1 33.594 (35.169) Prec@5 61.328 (60.846)
Epoch: [12][4690/5005] Time 0.328 (0.224) Data 0.250 (0.077) Loss 3.0322 (3.0059) Prec@1 32.812 (35.166) Prec@5 59.375 (60.844)
Epoch: [12][4700/5005] Time 0.207 (0.224) Data 0.048 (0.077) Loss 2.9330 (3.0059) Prec@1 37.109 (35.167) Prec@5 60.938 (60.845)
Epoch: [12][4710/5005] Time 0.204 (0.224) Data 0.045 (0.077) Loss 2.8307 (3.0057) Prec@1 37.500 (35.171) Prec@5 64.453 (60.848)
Epoch: [12][4720/5005] Time 0.213 (0.224) Data 0.040 (0.077) Loss 2.8310 (3.0057) Prec@1 39.844 (35.173) Prec@5 64.844 (60.848)
Epoch: [12][4730/5005] Time 0.197 (0.224) Data 0.066 (0.077) Loss 3.0295 (3.0058) Prec@1 36.719 (35.169) Prec@5 60.547 (60.846)
Epoch: [12][4740/5005] Time 0.416 (0.224) Data 0.334 (0.077) Loss 3.0050 (3.0058) Prec@1 35.156 (35.170) Prec@5 59.766 (60.847)
Epoch: [12][4750/5005] Time 0.208 (0.225) Data 0.042 (0.077) Loss 3.0506 (3.0058) Prec@1 33.203 (35.171) Prec@5 57.812 (60.848)
Epoch: [12][4760/5005] Time 0.204 (0.225) Data 0.040 (0.077) Loss 3.4336 (3.0057) Prec@1 25.781 (35.174) Prec@5 53.906 (60.851)
Epoch: [12][4770/5005] Time 0.203 (0.224) Data 0.044 (0.077) Loss 2.8513 (3.0056) Prec@1 41.016 (35.178) Prec@5 64.062 (60.853)
Epoch: [12][4780/5005] Time 0.195 (0.224) Data 0.105 (0.077) Loss 3.0314 (3.0056) Prec@1 35.547 (35.179) Prec@5 59.766 (60.852)
Epoch: [12][4790/5005] Time 0.203 (0.224) Data 0.079 (0.077) Loss 3.2717 (3.0057) Prec@1 37.500 (35.181) Prec@5 56.641 (60.852)
Epoch: [12][4800/5005] Time 0.198 (0.224) Data 0.109 (0.077) Loss 3.1275 (3.0057) Prec@1 31.250 (35.179) Prec@5 63.281 (60.856)
Epoch: [12][4810/5005] Time 0.203 (0.224) Data 0.041 (0.077) Loss 3.1323 (3.0056) Prec@1 35.547 (35.181) Prec@5 58.984 (60.856)
Epoch: [12][4820/5005] Time 0.198 (0.224) Data 0.051 (0.077) Loss 3.1077 (3.0055) Prec@1 32.812 (35.182) Prec@5 56.641 (60.857)
Epoch: [12][4830/5005] Time 0.194 (0.224) Data 0.102 (0.077) Loss 2.9039 (3.0053) Prec@1 38.281 (35.187) Prec@5 60.547 (60.860)
Epoch: [12][4840/5005] Time 0.203 (0.225) Data 0.067 (0.078) Loss 2.7810 (3.0055) Prec@1 39.844 (35.182) Prec@5 67.578 (60.858)
Epoch: [12][4850/5005] Time 0.210 (0.224) Data 0.045 (0.078) Loss 3.0699 (3.0057) Prec@1 32.812 (35.179) Prec@5 57.422 (60.854)
Epoch: [12][4860/5005] Time 0.208 (0.224) Data 0.046 (0.078) Loss 3.1374 (3.0057) Prec@1 37.109 (35.181) Prec@5 58.984 (60.854)
Epoch: [12][4870/5005] Time 0.199 (0.224) Data 0.095 (0.077) Loss 2.9340 (3.0057) Prec@1 41.016 (35.182) Prec@5 61.328 (60.854)
Epoch: [12][4880/5005] Time 0.196 (0.224) Data 0.051 (0.078) Loss 2.9257 (3.0057) Prec@1 34.766 (35.184) Prec@5 63.672 (60.852)
Epoch: [12][4890/5005] Time 0.346 (0.225) Data 0.250 (0.078) Loss 3.0087 (3.0057) Prec@1 33.984 (35.184) Prec@5 59.375 (60.852)
Epoch: [12][4900/5005] Time 0.518 (0.225) Data 0.433 (0.078) Loss 2.8605 (3.0056) Prec@1 33.594 (35.184) Prec@5 62.109 (60.853)
Epoch: [12][4910/5005] Time 0.194 (0.225) Data 0.045 (0.078) Loss 3.1017 (3.0054) Prec@1 31.641 (35.187) Prec@5 58.203 (60.857)
Epoch: [12][4920/5005] Time 0.196 (0.225) Data 0.066 (0.078) Loss 2.9470 (3.0053) Prec@1 35.938 (35.186) Prec@5 56.250 (60.854)
Epoch: [12][4930/5005] Time 0.430 (0.225) Data 0.347 (0.078) Loss 3.0723 (3.0052) Prec@1 35.547 (35.187) Prec@5 60.156 (60.856)
Epoch: [12][4940/5005] Time 0.269 (0.225) Data 0.190 (0.078) Loss 2.9594 (3.0053) Prec@1 34.375 (35.186) Prec@5 57.422 (60.855)
Epoch: [12][4950/5005] Time 0.198 (0.225) Data 0.040 (0.078) Loss 2.7852 (3.0053) Prec@1 37.891 (35.188) Prec@5 64.844 (60.853)
Epoch: [12][4960/5005] Time 0.208 (0.225) Data 0.043 (0.078) Loss 3.0434 (3.0053) Prec@1 33.203 (35.186) Prec@5 64.453 (60.856)
Epoch: [12][4970/5005] Time 0.206 (0.225) Data 0.041 (0.078) Loss 3.2360 (3.0053) Prec@1 27.734 (35.184) Prec@5 57.031 (60.858)
Epoch: [12][4980/5005] Time 0.200 (0.225) Data 0.048 (0.078) Loss 3.0763 (3.0052) Prec@1 32.812 (35.186) Prec@5 61.719 (60.860)
Epoch: [12][4990/5005] Time 0.206 (0.225) Data 0.035 (0.078) Loss 3.1396 (3.0051) Prec@1 33.203 (35.188) Prec@5 56.641 (60.863)
Epoch: [12][5000/5005] Time 0.212 (0.225) Data 0.029 (0.078) Loss 2.9640 (3.0051) Prec@1 32.812 (35.187) Prec@5 58.203 (60.862)
Test: [0/196] Time 2.583 (2.583) Loss 2.9456 (2.9456) Prec@1 37.500 (37.500) Prec@5 59.375 (59.375)
Test: [10/196] Time 0.045 (0.410) Loss 2.9848 (3.0623) Prec@1 37.891 (34.375) Prec@5 61.719 (59.446)
Test: [20/196] Time 0.043 (0.284) Loss 3.0470 (3.0834) Prec@1 36.328 (34.152) Prec@5 58.594 (59.263)
Test: [30/196] Time 0.211 (0.264) Loss 3.0201 (3.1020) Prec@1 36.328 (33.909) Prec@5 60.547 (58.821)
Test: [40/196] Time 0.998 (0.270) Loss 2.8661 (3.1035) Prec@1 37.500 (34.051) Prec@5 62.891 (58.679)
Test: [50/196] Time 0.045 (0.267) Loss 3.1949 (3.1052) Prec@1 28.906 (33.992) Prec@5 61.719 (58.862)
Test: [60/196] Time 0.043 (0.255) Loss 2.9120 (3.0916) Prec@1 36.719 (34.202) Prec@5 61.328 (59.100)
Test: [70/196] Time 0.183 (0.245) Loss 3.1470 (3.0892) Prec@1 33.594 (34.105) Prec@5 59.766 (59.204)
Test: [80/196] Time 0.044 (0.240) Loss 3.0117 (3.0958) Prec@1 37.500 (34.110) Prec@5 64.844 (59.110)
Test: [90/196] Time 0.287 (0.246) Loss 3.1083 (3.1032) Prec@1 35.156 (34.010) Prec@5 58.594 (59.075)
Test: [100/196] Time 0.049 (0.243) Loss 3.1189 (3.1019) Prec@1 33.984 (34.073) Prec@5 56.250 (59.127)
Test: [110/196] Time 0.043 (0.237) Loss 3.2840 (3.1030) Prec@1 32.812 (34.122) Prec@5 52.734 (59.101)
Test: [120/196] Time 0.043 (0.236) Loss 2.9695 (3.1014) Prec@1 35.156 (34.065) Prec@5 58.984 (59.065)
Test: [130/196] Time 0.323 (0.235) Loss 2.7295 (3.0983) Prec@1 40.625 (34.133) Prec@5 64.844 (59.136)
Test: [140/196] Time 0.081 (0.235) Loss 2.9313 (3.0987) Prec@1 37.891 (34.073) Prec@5 62.500 (59.142)
Test: [150/196] Time 0.089 (0.236) Loss 2.8231 (3.0943) Prec@1 37.500 (34.246) Prec@5 64.062 (59.212)
Test: [160/196] Time 0.045 (0.234) Loss 2.9885 (3.0905) Prec@1 36.719 (34.280) Prec@5 60.938 (59.227)
Test: [170/196] Time 0.293 (0.232) Loss 2.9231 (3.0926) Prec@1 35.938 (34.192) Prec@5 62.109 (59.190)
Test: [180/196] Time 0.048 (0.234) Loss 3.2037 (3.0972) Prec@1 34.375 (34.120) Prec@5 60.156 (59.097)
Test: [190/196] Time 0.194 (0.234) Loss 3.3371 (3.1001) Prec@1 31.641 (34.058) Prec@5 51.953 (59.046)
* Prec@1 34.036 Prec@5 59.092
Learning rate: 0.001
Epoch: [13][0/5005] Time 2.107 (2.107) Data 2.004 (2.004) Loss 2.8483 (2.8483) Prec@1 37.500 (37.500) Prec@5 64.844 (64.844)
Epoch: [13][10/5005] Time 0.193 (0.374) Data 0.042 (0.229) Loss 2.9388 (2.9915) Prec@1 42.188 (36.506) Prec@5 64.062 (61.186)
Epoch: [13][20/5005] Time 0.204 (0.292) Data 0.045 (0.141) Loss 3.0571 (3.0205) Prec@1 32.031 (34.989) Prec@5 60.547 (60.658)
Epoch: [13][30/5005] Time 0.196 (0.263) Data 0.040 (0.110) Loss 3.0314 (2.9899) Prec@1 35.938 (35.547) Prec@5 59.766 (60.925)
Epoch: [13][40/5005] Time 0.198 (0.247) Data 0.048 (0.095) Loss 2.9619 (2.9946) Prec@1 37.109 (35.185) Prec@5 62.109 (60.833)
Epoch: [13][50/5005] Time 0.204 (0.238) Data 0.044 (0.085) Loss 2.9213 (2.9949) Prec@1 33.203 (35.087) Prec@5 62.109 (60.746)
Epoch: [13][60/5005] Time 0.202 (0.232) Data 0.043 (0.079) Loss 2.8560 (2.9944) Prec@1 37.500 (35.086) Prec@5 65.625 (60.758)
Epoch: [13][70/5005] Time 0.194 (0.227) Data 0.045 (0.074) Loss 3.0215 (3.0015) Prec@1 35.938 (35.074) Prec@5 59.375 (60.646)
Epoch: [13][80/5005] Time 0.199 (0.224) Data 0.043 (0.071) Loss 2.8789 (2.9947) Prec@1 38.281 (35.219) Prec@5 64.453 (60.769)
Epoch: [13][90/5005] Time 0.205 (0.221) Data 0.044 (0.068) Loss 3.0971 (2.9899) Prec@1 34.766 (35.281) Prec@5 64.062 (60.899)
Epoch: [13][100/5005] Time 0.195 (0.219) Data 0.043 (0.065) Loss 2.8276 (2.9890) Prec@1 37.891 (35.330) Prec@5 64.453 (60.945)
Epoch: [13][110/5005] Time 0.195 (0.217) Data 0.042 (0.064) Loss 2.9746 (2.9883) Prec@1 35.938 (35.417) Prec@5 58.203 (60.959)
Epoch: [13][120/5005] Time 0.194 (0.216) Data 0.046 (0.063) Loss 2.9176 (2.9921) Prec@1 37.891 (35.411) Prec@5 62.891 (60.963)
Epoch: [13][130/5005] Time 0.198 (0.216) Data 0.045 (0.063) Loss 3.1287 (2.9893) Prec@1 36.328 (35.499) Prec@5 58.984 (61.003)
Epoch: [13][140/5005] Time 0.205 (0.218) Data 0.044 (0.066) Loss 3.1071 (2.9887) Prec@1 32.422 (35.444) Prec@5 60.156 (61.012)
Epoch: [13][150/5005] Time 0.319 (0.220) Data 0.237 (0.070) Loss 3.0867 (2.9894) Prec@1 33.203 (35.381) Prec@5 58.984 (61.059)
Epoch: [13][160/5005] Time 0.203 (0.220) Data 0.039 (0.070) Loss 2.8530 (2.9898) Prec@1 37.500 (35.411) Prec@5 64.062 (61.018)
Epoch: [13][170/5005] Time 0.201 (0.221) Data 0.047 (0.071) Loss 3.0184 (2.9904) Prec@1 33.203 (35.405) Prec@5 60.547 (60.992)
Epoch: [13][180/5005] Time 0.214 (0.222) Data 0.047 (0.074) Loss 3.2235 (2.9933) Prec@1 35.547 (35.368) Prec@5 57.031 (60.976)
Epoch: [13][190/5005] Time 0.211 (0.223) Data 0.041 (0.074) Loss 3.1665 (2.9975) Prec@1 33.594 (35.308) Prec@5 57.422 (60.880)
Epoch: [13][200/5005] Time 0.208 (0.223) Data 0.048 (0.074) Loss 3.1693 (2.9978) Prec@1 36.328 (35.327) Prec@5 57.422 (60.858)
Epoch: [13][210/5005] Time 0.217 (0.225) Data 0.041 (0.076) Loss 2.6935 (2.9960) Prec@1 41.406 (35.325) Prec@5 62.891 (60.854)
Epoch: [13][220/5005] Time 0.207 (0.225) Data 0.042 (0.076) Loss 3.0650 (2.9974) Prec@1 39.062 (35.317) Prec@5 57.812 (60.840)
Epoch: [13][230/5005] Time 0.201 (0.226) Data 0.048 (0.077) Loss 2.9111 (2.9963) Prec@1 37.109 (35.356) Prec@5 62.109 (60.905)
Epoch: [13][240/5005] Time 0.281 (0.226) Data 0.200 (0.078) Loss 2.8447 (2.9951) Prec@1 34.766 (35.312) Prec@5 62.500 (60.895)
Epoch: [13][250/5005] Time 0.203 (0.227) Data 0.095 (0.079) Loss 3.0999 (2.9931) Prec@1 33.984 (35.327) Prec@5 61.719 (60.909)
Epoch: [13][260/5005] Time 0.203 (0.227) Data 0.048 (0.080) Loss 2.7795 (2.9934) Prec@1 36.328 (35.318) Prec@5 62.109 (60.942)
Epoch: [13][270/5005] Time 0.427 (0.228) Data 0.342 (0.081) Loss 2.9015 (2.9913) Prec@1 42.578 (35.385) Prec@5 63.672 (60.988)
Epoch: [13][280/5005] Time 0.210 (0.230) Data 0.053 (0.084) Loss 3.2606 (2.9934) Prec@1 33.984 (35.370) Prec@5 54.297 (60.939)
Epoch: [13][290/5005] Time 0.201 (0.230) Data 0.057 (0.084) Loss 2.8198 (2.9938) Prec@1 37.500 (35.358) Prec@5 65.625 (60.938)
Epoch: [13][300/5005] Time 0.213 (0.230) Data 0.042 (0.084) Loss 2.8954 (2.9945) Prec@1 37.891 (35.348) Prec@5 63.281 (60.927)
Epoch: [13][310/5005] Time 0.213 (0.231) Data 0.043 (0.085) Loss 2.9158 (2.9921) Prec@1 27.344 (35.379) Prec@5 62.109 (60.951)
Epoch: [13][320/5005] Time 0.207 (0.230) Data 0.086 (0.084) Loss 3.1847 (2.9930) Prec@1 32.812 (35.387) Prec@5 60.156 (60.944)
Epoch: [13][330/5005] Time 0.204 (0.231) Data 0.048 (0.085) Loss 2.8128 (2.9921) Prec@1 34.375 (35.380) Prec@5 65.234 (60.948)
Epoch: [13][340/5005] Time 0.213 (0.231) Data 0.047 (0.085) Loss 3.0619 (2.9956) Prec@1 32.812 (35.314) Prec@5 62.109 (60.885)
Epoch: [13][350/5005] Time 0.211 (0.231) Data 0.069 (0.085) Loss 3.2357 (2.9950) Prec@1 34.375 (35.321) Prec@5 58.594 (60.904)
Epoch: [13][360/5005] Time 0.220 (0.230) Data 0.041 (0.084) Loss 3.0687 (2.9942) Prec@1 34.766 (35.332) Prec@5 60.547 (60.889)
Epoch: [13][370/5005] Time 0.206 (0.230) Data 0.046 (0.083) Loss 3.0025 (2.9936) Prec@1 35.938 (35.330) Prec@5 58.203 (60.912)
Epoch: [13][380/5005] Time 0.217 (0.229) Data 0.044 (0.082) Loss 3.1776 (2.9945) Prec@1 29.297 (35.306) Prec@5 58.594 (60.889)
Epoch: [13][390/5005] Time 0.220 (0.229) Data 0.057 (0.081) Loss 3.1000 (2.9952) Prec@1 36.719 (35.305) Prec@5 60.938 (60.886)
Epoch: [13][400/5005] Time 0.213 (0.229) Data 0.043 (0.081) Loss 2.8331 (2.9939) Prec@1 33.984 (35.307) Prec@5 64.844 (60.912)
Epoch: [13][410/5005] Time 0.213 (0.228) Data 0.042 (0.080) Loss 2.7541 (2.9935) Prec@1 35.156 (35.302) Prec@5 66.016 (60.907)
Epoch: [13][420/5005] Time 0.210 (0.228) Data 0.056 (0.079) Loss 2.8665 (2.9927) Prec@1 37.891 (35.328) Prec@5 64.062 (60.939)
Epoch: [13][430/5005] Time 0.217 (0.228) Data 0.044 (0.079) Loss 2.8651 (2.9931) Prec@1 37.891 (35.338) Prec@5 63.672 (60.924)
Epoch: [13][440/5005] Time 0.218 (0.227) Data 0.042 (0.078) Loss 2.8879 (2.9926) Prec@1 35.156 (35.335) Prec@5 64.062 (60.939)
Epoch: [13][450/5005] Time 0.219 (0.227) Data 0.044 (0.077) Loss 2.9287 (2.9940) Prec@1 36.328 (35.299) Prec@5 62.500 (60.926)
Epoch: [13][460/5005] Time 0.207 (0.227) Data 0.040 (0.076) Loss 3.0032 (2.9940) Prec@1 34.766 (35.295) Prec@5 63.672 (60.924)
Epoch: [13][470/5005] Time 0.220 (0.226) Data 0.043 (0.076) Loss 2.9287 (2.9946) Prec@1 31.641 (35.280) Prec@5 61.328 (60.884)
Epoch: [13][480/5005] Time 0.209 (0.226) Data 0.046 (0.075) Loss 3.0344 (2.9939) Prec@1 35.938 (35.284) Prec@5 60.156 (60.909)
Epoch: [13][490/5005] Time 0.209 (0.226) Data 0.040 (0.075) Loss 2.9036 (2.9941) Prec@1 41.406 (35.260) Prec@5 65.625 (60.904)
Epoch: [13][500/5005] Time 0.218 (0.226) Data 0.050 (0.074) Loss 2.9973 (2.9953) Prec@1 36.328 (35.244) Prec@5 61.719 (60.883)
Epoch: [13][510/5005] Time 0.215 (0.225) Data 0.046 (0.074) Loss 3.1823 (2.9960) Prec@1 34.766 (35.266) Prec@5 53.906 (60.857)
Epoch: [13][520/5005] Time 0.205 (0.226) Data 0.043 (0.073) Loss 3.0228 (2.9957) Prec@1 31.641 (35.256) Prec@5 60.547 (60.875)
Epoch: [13][530/5005] Time 0.206 (0.225) Data 0.048 (0.073) Loss 2.9688 (2.9955) Prec@1 37.500 (35.273) Prec@5 62.891 (60.874)
Epoch: [13][540/5005] Time 0.219 (0.225) Data 0.042 (0.072) Loss 3.1737 (2.9962) Prec@1 31.250 (35.254) Prec@5 57.812 (60.860)
Epoch: [13][550/5005] Time 0.217 (0.225) Data 0.049 (0.072) Loss 3.0297 (2.9955) Prec@1 33.594 (35.285) Prec@5 62.109 (60.865)
Epoch: [13][560/5005] Time 0.210 (0.225) Data 0.041 (0.071) Loss 3.1758 (2.9964) Prec@1 33.203 (35.273) Prec@5 61.719 (60.857)
Epoch: [13][570/5005] Time 0.210 (0.224) Data 0.041 (0.071) Loss 3.0322 (2.9967) Prec@1 34.375 (35.269) Prec@5 59.766 (60.839)
Epoch: [13][580/5005] Time 0.206 (0.224) Data 0.062 (0.071) Loss 3.0656 (2.9958) Prec@1 34.766 (35.256) Prec@5 58.984 (60.849)
Epoch: [13][590/5005] Time 0.211 (0.224) Data 0.046 (0.070) Loss 3.2858 (2.9963) Prec@1 31.250 (35.249) Prec@5 56.641 (60.832)
Epoch: [13][600/5005] Time 0.211 (0.224) Data 0.041 (0.070) Loss 2.9807 (2.9978) Prec@1 34.375 (35.217) Prec@5 62.500 (60.829)
Epoch: [13][610/5005] Time 0.216 (0.224) Data 0.045 (0.069) Loss 2.9564 (2.9978) Prec@1 37.109 (35.218) Prec@5 60.156 (60.828)
Epoch: [13][620/5005] Time 0.216 (0.224) Data 0.044 (0.069) Loss 3.0044 (2.9982) Prec@1 34.375 (35.224) Prec@5 62.500 (60.823)
Epoch: [13][630/5005] Time 0.216 (0.223) Data 0.042 (0.069) Loss 3.0327 (2.9978) Prec@1 36.719 (35.245) Prec@5 60.156 (60.820)
Epoch: [13][640/5005] Time 0.213 (0.223) Data 0.043 (0.068) Loss 2.8584 (2.9972) Prec@1 39.453 (35.245) Prec@5 62.109 (60.842)
Epoch: [13][650/5005] Time 0.216 (0.223) Data 0.041 (0.068) Loss 3.1944 (2.9984) Prec@1 33.203 (35.232) Prec@5 58.594 (60.823)
Epoch: [13][660/5005] Time 0.216 (0.223) Data 0.045 (0.068) Loss 3.0209 (2.9971) Prec@1 31.641 (35.250) Prec@5 60.938 (60.847)
Epoch: [13][670/5005] Time 0.212 (0.223) Data 0.043 (0.067) Loss 3.2976 (2.9979) Prec@1 30.859 (35.242) Prec@5 55.078 (60.821)
Epoch: [13][680/5005] Time 0.205 (0.223) Data 0.058 (0.067) Loss 3.0480 (2.9983) Prec@1 32.031 (35.223) Prec@5 60.547 (60.814)
Epoch: [13][690/5005] Time 0.211 (0.223) Data 0.043 (0.067) Loss 2.7973 (2.9977) Prec@1 36.719 (35.230) Prec@5 67.969 (60.827)
Epoch: [13][700/5005] Time 0.213 (0.222) Data 0.043 (0.066) Loss 3.0469 (2.9974) Prec@1 35.547 (35.223) Prec@5 58.594 (60.833)
Epoch: [13][710/5005] Time 0.215 (0.222) Data 0.044 (0.066) Loss 2.8537 (2.9971) Prec@1 36.328 (35.229) Prec@5 65.234 (60.841)
Epoch: [13][720/5005] Time 0.209 (0.222) Data 0.042 (0.066) Loss 2.9873 (2.9963) Prec@1 33.203 (35.225) Prec@5 61.328 (60.862)
Epoch: [13][730/5005] Time 0.204 (0.222) Data 0.047 (0.065) Loss 3.1354 (2.9966) Prec@1 32.812 (35.220) Prec@5 58.203 (60.859)
Epoch: [13][740/5005] Time 0.218 (0.222) Data 0.048 (0.065) Loss 3.1461 (2.9962) Prec@1 35.547 (35.252) Prec@5 60.156 (60.877)
Epoch: [13][750/5005] Time 0.199 (0.222) Data 0.046 (0.065) Loss 2.9325 (2.9959) Prec@1 38.281 (35.262) Prec@5 62.109 (60.889)
Epoch: [13][760/5005] Time 0.214 (0.221) Data 0.044 (0.065) Loss 2.9536 (2.9959) Prec@1 36.328 (35.264) Prec@5 62.891 (60.896)
Epoch: [13][770/5005] Time 0.215 (0.221) Data 0.052 (0.064) Loss 3.0290 (2.9946) Prec@1 34.766 (35.282) Prec@5 58.594 (60.921)
Epoch: [13][780/5005] Time 0.206 (0.221) Data 0.066 (0.064) Loss 2.9545 (2.9946) Prec@1 37.109 (35.272) Prec@5 60.156 (60.929)
Epoch: [13][790/5005] Time 0.217 (0.221) Data 0.043 (0.064) Loss 3.0140 (2.9939) Prec@1 34.375 (35.286) Prec@5 57.031 (60.940)
Epoch: [13][800/5005] Time 0.214 (0.221) Data 0.042 (0.064) Loss 2.8803 (2.9929) Prec@1 35.938 (35.309) Prec@5 62.109 (60.962)
Epoch: [13][810/5005] Time 0.286 (0.221) Data 0.197 (0.064) Loss 2.9870 (2.9929) Prec@1 36.328 (35.302) Prec@5 62.109 (60.978)
Epoch: [13][820/5005] Time 0.215 (0.221) Data 0.044 (0.065) Loss 3.0163 (2.9933) Prec@1 33.984 (35.293) Prec@5 59.375 (60.976)
Epoch: [13][830/5005] Time 0.197 (0.222) Data 0.050 (0.065) Loss 2.9111 (2.9933) Prec@1 37.109 (35.294) Prec@5 59.766 (60.967)
Epoch: [13][840/5005] Time 0.223 (0.222) Data 0.042 (0.065) Loss 2.9256 (2.9928) Prec@1 40.234 (35.316) Prec@5 62.109 (60.981)
Epoch: [13][850/5005] Time 0.396 (0.222) Data 0.312 (0.066) Loss 3.2196 (2.9928) Prec@1 32.031 (35.320) Prec@5 59.375 (60.989)
Epoch: [13][860/5005] Time 0.196 (0.222) Data 0.052 (0.066) Loss 3.1161 (2.9927) Prec@1 34.375 (35.328) Prec@5 57.031 (60.990)
Epoch: [13][870/5005] Time 0.210 (0.222) Data 0.059 (0.066) Loss 2.9011 (2.9918) Prec@1 33.984 (35.333) Prec@5 61.328 (60.996)
Epoch: [13][880/5005] Time 0.215 (0.222) Data 0.042 (0.066) Loss 3.0451 (2.9923) Prec@1 32.812 (35.326) Prec@5 57.031 (60.990)
Epoch: [13][890/5005] Time 0.292 (0.222) Data 0.210 (0.067) Loss 3.2601 (2.9926) Prec@1 32.812 (35.314) Prec@5 54.688 (60.980)
Epoch: [13][900/5005] Time 0.211 (0.222) Data 0.045 (0.066) Loss 2.8754 (2.9925) Prec@1 38.281 (35.312) Prec@5 65.234 (60.983)
Epoch: [13][910/5005] Time 0.204 (0.222) Data 0.045 (0.066) Loss 3.0238 (2.9927) Prec@1 31.641 (35.306) Prec@5 63.281 (60.991)
Epoch: [13][920/5005] Time 0.213 (0.222) Data 0.042 (0.067) Loss 3.0334 (2.9916) Prec@1 37.109 (35.330) Prec@5 61.719 (61.008)
Epoch: [13][930/5005] Time 0.414 (0.222) Data 0.319 (0.067) Loss 2.9241 (2.9914) Prec@1 42.188 (35.355) Prec@5 61.328 (61.017)
Epoch: [13][940/5005] Time 0.195 (0.223) Data 0.051 (0.068) Loss 2.8680 (2.9913) Prec@1 34.375 (35.365) Prec@5 62.891 (61.027)
Epoch: [13][950/5005] Time 0.198 (0.223) Data 0.043 (0.068) Loss 3.1924 (2.9920) Prec@1 32.422 (35.366) Prec@5 58.984 (61.011)
Epoch: [13][960/5005] Time 0.393 (0.224) Data 0.313 (0.070) Loss 3.1615 (2.9924) Prec@1 36.719 (35.367) Prec@5 59.375 (61.001)
Epoch: [13][970/5005] Time 0.499 (0.224) Data 0.414 (0.070) Loss 2.8569 (2.9924) Prec@1 39.453 (35.376) Prec@5 60.156 (60.997)
Epoch: [13][980/5005] Time 0.216 (0.225) Data 0.057 (0.071) Loss 2.7448 (2.9914) Prec@1 39.844 (35.395) Prec@5 64.062 (61.002)
Epoch: [13][990/5005] Time 0.209 (0.224) Data 0.050 (0.070) Loss 3.0797 (2.9918) Prec@1 32.812 (35.383) Prec@5 58.984 (60.991)
Epoch: [13][1000/5005] Time 0.223 (0.224) Data 0.042 (0.070) Loss 2.9135 (2.9913) Prec@1 35.938 (35.397) Prec@5 62.891 (61.008)
Epoch: [13][1010/5005] Time 0.218 (0.224) Data 0.046 (0.070) Loss 2.9590 (2.9909) Prec@1 33.203 (35.401) Prec@5 63.281 (61.020)
Epoch: [13][1020/5005] Time 0.216 (0.224) Data 0.041 (0.070) Loss 2.8643 (2.9914) Prec@1 39.062 (35.400) Prec@5 60.156 (61.004)
Epoch: [13][1030/5005] Time 0.212 (0.224) Data 0.042 (0.069) Loss 3.0118 (2.9909) Prec@1 36.719 (35.409) Prec@5 61.328 (61.018)
Epoch: [13][1040/5005] Time 0.215 (0.224) Data 0.042 (0.069) Loss 3.1411 (2.9908) Prec@1 30.469 (35.407) Prec@5 59.766 (61.022)
Epoch: [13][1050/5005] Time 0.209 (0.224) Data 0.044 (0.069) Loss 3.1281 (2.9914) Prec@1 31.641 (35.391) Prec@5 57.031 (61.001)
Epoch: [13][1060/5005] Time 0.202 (0.223) Data 0.063 (0.069) Loss 3.2185 (2.9916) Prec@1 33.594 (35.389) Prec@5 58.594 (61.005)
Epoch: [13][1070/5005] Time 0.199 (0.223) Data 0.054 (0.069) Loss 3.0601 (2.9915) Prec@1 36.719 (35.388) Prec@5 63.281 (61.008)
Epoch: [13][1080/5005] Time 0.212 (0.223) Data 0.049 (0.068) Loss 3.0495 (2.9918) Prec@1 34.375 (35.376) Prec@5 57.031 (61.009)
Epoch: [13][1090/5005] Time 0.202 (0.223) Data 0.046 (0.068) Loss 2.8080 (2.9911) Prec@1 39.844 (35.376) Prec@5 62.109 (61.023)
Epoch: [13][1100/5005] Time 0.208 (0.223) Data 0.052 (0.068) Loss 2.8927 (2.9906) Prec@1 38.672 (35.393) Prec@5 62.109 (61.022)
Epoch: [13][1110/5005] Time 0.213 (0.223) Data 0.046 (0.068) Loss 3.0998 (2.9907) Prec@1 35.547 (35.394) Prec@5 58.984 (61.018)
Epoch: [13][1120/5005] Time 0.209 (0.223) Data 0.051 (0.068) Loss 2.8539 (2.9898) Prec@1 40.234 (35.412) Prec@5 61.719 (61.023)
Epoch: [13][1130/5005] Time 0.221 (0.223) Data 0.042 (0.068) Loss 2.9904 (2.9902) Prec@1 39.844 (35.411) Prec@5 61.719 (61.021)
Epoch: [13][1140/5005] Time 0.209 (0.223) Data 0.042 (0.067) Loss 3.0712 (2.9899) Prec@1 32.812 (35.412) Prec@5 56.641 (61.021)
Epoch: [13][1150/5005] Time 0.202 (0.222) Data 0.048 (0.067) Loss 2.9280 (2.9893) Prec@1 35.156 (35.430) Prec@5 60.547 (61.026)
Epoch: [13][1160/5005] Time 0.211 (0.222) Data 0.048 (0.067) Loss 3.1339 (2.9894) Prec@1 37.109 (35.439) Prec@5 55.469 (61.019)
Epoch: [13][1170/5005] Time 0.211 (0.222) Data 0.057 (0.067) Loss 2.9334 (2.9891) Prec@1 36.328 (35.447) Prec@5 61.719 (61.019)
Epoch: [13][1180/5005] Time 0.218 (0.222) Data 0.047 (0.067) Loss 3.0185 (2.9888) Prec@1 36.719 (35.444) Prec@5 61.719 (61.023)
Epoch: [13][1190/5005] Time 0.202 (0.222) Data 0.053 (0.067) Loss 2.7539 (2.9887) Prec@1 38.672 (35.447) Prec@5 66.406 (61.036)
Epoch: [13][1200/5005] Time 0.209 (0.222) Data 0.045 (0.067) Loss 3.1285 (2.9886) Prec@1 29.297 (35.448) Prec@5 59.766 (61.040)
Epoch: [13][1210/5005] Time 0.205 (0.222) Data 0.048 (0.067) Loss 3.1234 (2.9889) Prec@1 32.422 (35.447) Prec@5 59.375 (61.046)
Epoch: [13][1220/5005] Time 0.310 (0.222) Data 0.224 (0.067) Loss 2.9703 (2.9892) Prec@1 32.031 (35.437) Prec@5 59.766 (61.047)
Epoch: [13][1230/5005] Time 0.214 (0.222) Data 0.045 (0.067) Loss 3.0181 (2.9894) Prec@1 32.031 (35.424) Prec@5 62.500 (61.042)
Epoch: [13][1240/5005] Time 0.203 (0.222) Data 0.046 (0.067) Loss 2.9166 (2.9897) Prec@1 39.844 (35.425) Prec@5 62.109 (61.035)
Epoch: [13][1250/5005] Time 0.210 (0.222) Data 0.041 (0.067) Loss 3.3636 (2.9903) Prec@1 31.641 (35.417) Prec@5 55.469 (61.015)
Epoch: [13][1260/5005] Time 0.198 (0.222) Data 0.045 (0.067) Loss 2.6559 (2.9896) Prec@1 40.625 (35.425) Prec@5 67.188 (61.020)
Epoch: [13][1270/5005] Time 0.491 (0.222) Data 0.402 (0.067) Loss 3.1313 (2.9901) Prec@1 31.641 (35.423) Prec@5 56.641 (61.007)
Epoch: [13][1280/5005] Time 0.201 (0.222) Data 0.047 (0.068) Loss 2.9850 (2.9903) Prec@1 37.109 (35.422) Prec@5 59.766 (60.998)
Epoch: [13][1290/5005] Time 0.197 (0.223) Data 0.050 (0.068) Loss 2.7355 (2.9899) Prec@1 43.359 (35.434) Prec@5 64.453 (61.005)
Epoch: [13][1300/5005] Time 0.201 (0.222) Data 0.050 (0.068) Loss 2.8277 (2.9898) Prec@1 39.062 (35.438) Prec@5 64.453 (61.006)
Epoch: [13][1310/5005] Time 0.192 (0.222) Data 0.054 (0.068) Loss 2.9865 (2.9896) Prec@1 35.547 (35.439) Prec@5 59.766 (61.015)
Epoch: [13][1320/5005] Time 0.212 (0.222) Data 0.046 (0.068) Loss 3.1731 (2.9898) Prec@1 34.375 (35.440) Prec@5 59.375 (61.016)
Epoch: [13][1330/5005] Time 0.197 (0.222) Data 0.066 (0.068) Loss 3.1132 (2.9901) Prec@1 32.031 (35.432) Prec@5 58.984 (61.013)
Epoch: [13][1340/5005] Time 0.237 (0.222) Data 0.152 (0.068) Loss 3.0156 (2.9900) Prec@1 34.766 (35.436) Prec@5 60.938 (61.021)
Epoch: [13][1350/5005] Time 0.207 (0.222) Data 0.041 (0.068) Loss 3.3529 (2.9905) Prec@1 31.641 (35.425) Prec@5 53.516 (61.012)
Epoch: [13][1360/5005] Time 0.219 (0.222) Data 0.048 (0.068) Loss 2.8100 (2.9905) Prec@1 39.844 (35.429) Prec@5 60.938 (61.006)
Epoch: [13][1370/5005] Time 0.206 (0.222) Data 0.046 (0.068) Loss 3.0653 (2.9901) Prec@1 32.422 (35.432) Prec@5 57.031 (61.010)
Epoch: [13][1380/5005] Time 0.203 (0.222) Data 0.047 (0.068) Loss 2.9270 (2.9899) Prec@1 33.984 (35.436) Prec@5 64.844 (61.020)
Epoch: [13][1390/5005] Time 0.353 (0.222) Data 0.266 (0.069) Loss 2.9419 (2.9898) Prec@1 37.891 (35.441) Prec@5 63.672 (61.023)
Epoch: [13][1400/5005] Time 0.388 (0.222) Data 0.300 (0.069) Loss 2.9800 (2.9892) Prec@1 34.766 (35.449) Prec@5 60.547 (61.031)
Epoch: [13][1410/5005] Time 0.200 (0.222) Data 0.050 (0.069) Loss 2.8310 (2.9886) Prec@1 37.500 (35.463) Prec@5 65.234 (61.039)
Epoch: [13][1420/5005] Time 0.217 (0.222) Data 0.134 (0.069) Loss 3.0215 (2.9885) Prec@1 36.719 (35.464) Prec@5 61.719 (61.046)
Epoch: [13][1430/5005] Time 0.205 (0.223) Data 0.040 (0.069) Loss 2.6002 (2.9879) Prec@1 39.062 (35.475) Prec@5 71.094 (61.058)
Epoch: [13][1440/5005] Time 0.215 (0.223) Data 0.044 (0.069) Loss 2.7591 (2.9875) Prec@1 37.500 (35.479) Prec@5 66.016 (61.067)
Epoch: [13][1450/5005] Time 0.205 (0.223) Data 0.045 (0.069) Loss 2.9966 (2.9873) Prec@1 36.328 (35.486) Prec@5 66.406 (61.073)
Epoch: [13][1460/5005] Time 0.201 (0.222) Data 0.085 (0.069) Loss 2.8729 (2.9871) Prec@1 36.328 (35.499) Prec@5 60.938 (61.074)
Epoch: [13][1470/5005] Time 0.209 (0.223) Data 0.044 (0.069) Loss 3.1743 (2.9873) Prec@1 32.422 (35.500) Prec@5 61.328 (61.072)
Epoch: [13][1480/5005] Time 0.199 (0.222) Data 0.049 (0.069) Loss 2.7825 (2.9873) Prec@1 37.109 (35.493) Prec@5 67.188 (61.074)
Epoch: [13][1490/5005] Time 0.195 (0.223) Data 0.049 (0.069) Loss 3.2978 (2.9872) Prec@1 33.203 (35.495) Prec@5 57.422 (61.084)
Epoch: [13][1500/5005] Time 0.190 (0.223) Data 0.042 (0.069) Loss 3.0925 (2.9872) Prec@1 31.250 (35.497) Prec@5 59.766 (61.086)
Epoch: [13][1510/5005] Time 0.205 (0.223) Data 0.041 (0.069) Loss 2.8540 (2.9871) Prec@1 36.328 (35.499) Prec@5 65.625 (61.092)
Epoch: [13][1520/5005] Time 0.205 (0.223) Data 0.044 (0.069) Loss 3.0911 (2.9869) Prec@1 31.641 (35.494) Prec@5 59.766 (61.096)
Epoch: [13][1530/5005] Time 0.599 (0.223) Data 0.514 (0.069) Loss 3.1408 (2.9870) Prec@1 32.422 (35.499) Prec@5 58.594 (61.092)
Epoch: [13][1540/5005] Time 0.212 (0.223) Data 0.043 (0.069) Loss 2.9769 (2.9873) Prec@1 36.719 (35.499) Prec@5 60.547 (61.084)
Epoch: [13][1550/5005] Time 0.204 (0.223) Data 0.048 (0.069) Loss 2.9498 (2.9870) Prec@1 33.594 (35.497) Prec@5 61.719 (61.093)
Epoch: [13][1560/5005] Time 0.201 (0.223) Data 0.044 (0.069) Loss 2.7669 (2.9870) Prec@1 35.547 (35.496) Prec@5 62.891 (61.091)
Epoch: [13][1570/5005] Time 0.207 (0.223) Data 0.040 (0.069) Loss 2.7954 (2.9867) Prec@1 37.500 (35.497) Prec@5 66.016 (61.098)
Epoch: [13][1580/5005] Time 0.385 (0.223) Data 0.303 (0.070) Loss 2.9845 (2.9869) Prec@1 29.688 (35.487) Prec@5 63.281 (61.099)
Epoch: [13][1590/5005] Time 0.205 (0.223) Data 0.064 (0.070) Loss 2.9263 (2.9870) Prec@1 37.500 (35.480) Prec@5 61.719 (61.099)
Epoch: [13][1600/5005] Time 0.208 (0.223) Data 0.049 (0.069) Loss 2.9147 (2.9869) Prec@1 39.844 (35.475) Prec@5 62.500 (61.110)
Epoch: [13][1610/5005] Time 0.219 (0.223) Data 0.057 (0.069) Loss 3.1083 (2.9870) Prec@1 35.547 (35.478) Prec@5 60.547 (61.107)
Epoch: [13][1620/5005] Time 0.194 (0.223) Data 0.106 (0.070) Loss 3.1958 (2.9869) Prec@1 33.984 (35.475) Prec@5 58.594 (61.111)
Epoch: [13][1630/5005] Time 0.207 (0.223) Data 0.042 (0.070) Loss 2.9931 (2.9870) Prec@1 34.375 (35.469) Prec@5 60.156 (61.105)
Epoch: [13][1640/5005] Time 0.200 (0.223) Data 0.046 (0.070) Loss 2.8612 (2.9873) Prec@1 36.719 (35.465) Prec@5 63.281 (61.103)
Epoch: [13][1650/5005] Time 0.202 (0.223) Data 0.105 (0.070) Loss 2.9973 (2.9869) Prec@1 32.812 (35.469) Prec@5 63.281 (61.118)
Epoch: [13][1660/5005] Time 0.194 (0.223) Data 0.054 (0.071) Loss 2.7684 (2.9862) Prec@1 41.406 (35.483) Prec@5 65.234 (61.129)
Epoch: [13][1670/5005] Time 0.198 (0.223) Data 0.046 (0.071) Loss 2.7358 (2.9862) Prec@1 41.406 (35.488) Prec@5 64.453 (61.132)
Epoch: [13][1680/5005] Time 0.307 (0.223) Data 0.219 (0.071) Loss 3.0732 (2.9864) Prec@1 35.547 (35.488) Prec@5 62.109 (61.132)
Epoch: [13][1690/5005] Time 0.274 (0.223) Data 0.191 (0.071) Loss 2.8914 (2.9859) Prec@1 35.938 (35.489) Prec@5 65.625 (61.145)
Epoch: [13][1700/5005] Time 0.207 (0.223) Data 0.045 (0.071) Loss 2.9406 (2.9856) Prec@1 34.375 (35.495) Prec@5 56.250 (61.146)
Epoch: [13][1710/5005] Time 0.206 (0.223) Data 0.040 (0.071) Loss 2.7684 (2.9849) Prec@1 39.453 (35.498) Prec@5 66.016 (61.160)
Epoch: [13][1720/5005] Time 0.208 (0.223) Data 0.049 (0.071) Loss 3.0443 (2.9848) Prec@1 34.375 (35.496) Prec@5 59.375 (61.158)
Epoch: [13][1730/5005] Time 0.706 (0.223) Data 0.613 (0.071) Loss 2.8978 (2.9849) Prec@1 37.500 (35.494) Prec@5 61.328 (61.160)
Epoch: [13][1740/5005] Time 0.203 (0.223) Data 0.048 (0.071) Loss 3.2019 (2.9845) Prec@1 30.469 (35.493) Prec@5 56.641 (61.168)
Epoch: [13][1750/5005] Time 0.201 (0.223) Data 0.043 (0.071) Loss 3.0748 (2.9841) Prec@1 32.031 (35.500) Prec@5 56.641 (61.179)
Epoch: [13][1760/5005] Time 0.196 (0.223) Data 0.044 (0.071) Loss 2.7808 (2.9840) Prec@1 41.406 (35.507) Prec@5 65.625 (61.180)
Epoch: [13][1770/5005] Time 0.212 (0.223) Data 0.043 (0.071) Loss 2.9170 (2.9836) Prec@1 33.984 (35.514) Prec@5 63.281 (61.189)
Epoch: [13][1780/5005] Time 0.213 (0.223) Data 0.039 (0.071) Loss 2.9240 (2.9836) Prec@1 35.547 (35.518) Prec@5 60.547 (61.186)
Epoch: [13][1790/5005] Time 0.196 (0.223) Data 0.090 (0.071) Loss 2.7417 (2.9833) Prec@1 35.938 (35.519) Prec@5 65.234 (61.189)
Epoch: [13][1800/5005] Time 0.214 (0.223) Data 0.045 (0.071) Loss 2.9070 (2.9830) Prec@1 36.328 (35.522) Prec@5 64.062 (61.194)
Epoch: [13][1810/5005] Time 0.208 (0.223) Data 0.046 (0.071) Loss 2.7494 (2.9830) Prec@1 41.797 (35.522) Prec@5 66.016 (61.195)
Epoch: [13][1820/5005] Time 0.203 (0.223) Data 0.046 (0.071) Loss 3.0337 (2.9827) Prec@1 35.547 (35.530) Prec@5 61.719 (61.202)
Epoch: [13][1830/5005] Time 0.205 (0.223) Data 0.040 (0.071) Loss 2.6782 (2.9821) Prec@1 46.094 (35.540) Prec@5 66.406 (61.206)
Epoch: [13][1840/5005] Time 0.306 (0.223) Data 0.216 (0.071) Loss 2.9596 (2.9819) Prec@1 34.766 (35.546) Prec@5 60.156 (61.205)
Epoch: [13][1850/5005] Time 0.199 (0.223) Data 0.040 (0.071) Loss 3.0895 (2.9818) Prec@1 33.594 (35.545) Prec@5 61.328 (61.209)
Epoch: [13][1860/5005] Time 0.195 (0.224) Data 0.041 (0.072) Loss 2.9069 (2.9821) Prec@1 39.062 (35.545) Prec@5 65.625 (61.211)
Epoch: [13][1870/5005] Time 0.202 (0.224) Data 0.048 (0.072) Loss 3.1950 (2.9823) Prec@1 34.766 (35.541) Prec@5 54.688 (61.207)
Epoch: [13][1880/5005] Time 0.201 (0.224) Data 0.052 (0.072) Loss 2.9023 (2.9826) Prec@1 36.328 (35.538) Prec@5 65.234 (61.201)
Epoch: [13][1890/5005] Time 0.207 (0.223) Data 0.050 (0.071) Loss 2.9350 (2.9824) Prec@1 35.156 (35.538) Prec@5 60.156 (61.204)
Epoch: [13][1900/5005] Time 0.204 (0.223) Data 0.041 (0.071) Loss 3.0427 (2.9827) Prec@1 35.156 (35.536) Prec@5 60.547 (61.198)
Epoch: [13][1910/5005] Time 0.191 (0.223) Data 0.047 (0.071) Loss 3.0270 (2.9827) Prec@1 31.250 (35.532) Prec@5 59.375 (61.194)
Epoch: [13][1920/5005] Time 1.097 (0.224) Data 1.007 (0.072) Loss 3.0015 (2.9824) Prec@1 37.500 (35.536) Prec@5 59.375 (61.203)
Epoch: [13][1930/5005] Time 0.208 (0.224) Data 0.046 (0.072) Loss 2.8131 (2.9823) Prec@1 40.234 (35.535) Prec@5 62.109 (61.209)
Epoch: [13][1940/5005] Time 0.200 (0.224) Data 0.049 (0.072) Loss 2.7216 (2.9819) Prec@1 41.016 (35.538) Prec@5 64.062 (61.215)
Epoch: [13][1950/5005] Time 0.205 (0.224) Data 0.043 (0.072) Loss 2.9410 (2.9820) Prec@1 36.328 (35.536) Prec@5 63.281 (61.219)
Epoch: [13][1960/5005] Time 0.200 (0.223) Data 0.058 (0.072) Loss 2.7987 (2.9818) Prec@1 35.156 (35.539) Prec@5 65.234 (61.227)
Epoch: [13][1970/5005] Time 0.193 (0.223) Data 0.048 (0.072) Loss 2.9794 (2.9821) Prec@1 35.547 (35.534) Prec@5 61.328 (61.222)
Epoch: [13][1980/5005] Time 0.207 (0.223) Data 0.041 (0.072) Loss 2.6407 (2.9821) Prec@1 42.188 (35.534) Prec@5 66.016 (61.220)
Epoch: [13][1990/5005] Time 0.290 (0.224) Data 0.203 (0.072) Loss 2.7953 (2.9818) Prec@1 38.672 (35.537) Prec@5 63.281 (61.226)
Epoch: [13][2000/5005] Time 0.211 (0.223) Data 0.049 (0.072) Loss 2.7610 (2.9820) Prec@1 39.062 (35.538) Prec@5 65.234 (61.225)
Epoch: [13][2010/5005] Time 0.197 (0.223) Data 0.052 (0.072) Loss 2.9198 (2.9822) Prec@1 35.547 (35.536) Prec@5 60.547 (61.215)
Epoch: [13][2020/5005] Time 0.199 (0.223) Data 0.047 (0.072) Loss 2.8026 (2.9823) Prec@1 41.406 (35.541) Prec@5 65.234 (61.214)
Epoch: [13][2030/5005] Time 0.204 (0.224) Data 0.068 (0.072) Loss 2.9623 (2.9825) Prec@1 37.109 (35.541) Prec@5 61.719 (61.215)
Epoch: [13][2040/5005] Time 0.202 (0.224) Data 0.048 (0.072) Loss 2.8287 (2.9823) Prec@1 37.891 (35.543) Prec@5 60.938 (61.220)
Epoch: [13][2050/5005] Time 0.211 (0.224) Data 0.041 (0.072) Loss 3.1194 (2.9825) Prec@1 33.984 (35.536) Prec@5 58.984 (61.217)
Epoch: [13][2060/5005] Time 0.200 (0.223) Data 0.047 (0.072) Loss 2.7754 (2.9826) Prec@1 34.766 (35.537) Prec@5 62.109 (61.214)
Epoch: [13][2070/5005] Time 0.450 (0.223) Data 0.368 (0.072) Loss 3.1114 (2.9829) Prec@1 32.812 (35.532) Prec@5 57.031 (61.204)
Epoch: [13][2080/5005] Time 0.207 (0.223) Data 0.059 (0.072) Loss 3.0302 (2.9829) Prec@1 35.547 (35.533) Prec@5 61.719 (61.205)
Epoch: [13][2090/5005] Time 0.202 (0.223) Data 0.048 (0.072) Loss 2.8279 (2.9825) Prec@1 38.281 (35.539) Prec@5 63.672 (61.214)
Epoch: [13][2100/5005] Time 0.199 (0.223) Data 0.101 (0.072) Loss 3.0412 (2.9826) Prec@1 35.156 (35.538) Prec@5 59.375 (61.210)
Epoch: [13][2110/5005] Time 0.200 (0.223) Data 0.051 (0.072) Loss 2.9129 (2.9825) Prec@1 35.156 (35.543) Prec@5 62.891 (61.212)
Epoch: [13][2120/5005] Time 0.333 (0.223) Data 0.238 (0.072) Loss 3.0297 (2.9823) Prec@1 40.234 (35.550) Prec@5 60.938 (61.217)
Epoch: [13][2130/5005] Time 0.199 (0.223) Data 0.048 (0.072) Loss 3.0693 (2.9820) Prec@1 35.938 (35.559) Prec@5 60.938 (61.221)
Epoch: [13][2140/5005] Time 0.204 (0.223) Data 0.046 (0.072) Loss 2.9441 (2.9821) Prec@1 34.375 (35.561) Prec@5 60.938 (61.221)
Epoch: [13][2150/5005] Time 0.202 (0.223) Data 0.044 (0.072) Loss 2.9297 (2.9823) Prec@1 34.766 (35.553) Prec@5 63.672 (61.221)
Epoch: [13][2160/5005] Time 0.216 (0.223) Data 0.040 (0.072) Loss 2.9206 (2.9823) Prec@1 34.766 (35.555) Prec@5 62.500 (61.222)
Epoch: [13][2170/5005] Time 0.205 (0.223) Data 0.042 (0.073) Loss 2.9791 (2.9821) Prec@1 35.938 (35.558) Prec@5 62.109 (61.227)
Epoch: [13][2180/5005] Time 0.188 (0.223) Data 0.048 (0.073) Loss 2.9950 (2.9821) Prec@1 41.797 (35.558) Prec@5 61.719 (61.226)
Epoch: [13][2190/5005] Time 0.208 (0.223) Data 0.045 (0.073) Loss 2.9819 (2.9820) Prec@1 38.281 (35.556) Prec@5 61.719 (61.228)
Epoch: [13][2200/5005] Time 0.203 (0.224) Data 0.040 (0.073) Loss 3.0870 (2.9822) Prec@1 35.547 (35.553) Prec@5 57.422 (61.226)
Epoch: [13][2210/5005] Time 0.202 (0.224) Data 0.040 (0.073) Loss 3.1533 (2.9826) Prec@1 35.156 (35.551) Prec@5 56.641 (61.220)
Epoch: [13][2220/5005] Time 0.196 (0.224) Data 0.045 (0.073) Loss 2.9951 (2.9826) Prec@1 38.672 (35.552) Prec@5 60.156 (61.223)
Epoch: [13][2230/5005] Time 0.204 (0.224) Data 0.042 (0.073) Loss 3.0242 (2.9826) Prec@1 36.719 (35.557) Prec@5 62.891 (61.225)
Epoch: [13][2240/5005] Time 0.207 (0.224) Data 0.049 (0.073) Loss 2.9772 (2.9828) Prec@1 35.156 (35.556) Prec@5 64.062 (61.223)
Epoch: [13][2250/5005] Time 0.202 (0.224) Data 0.047 (0.073) Loss 2.8050 (2.9830) Prec@1 41.797 (35.555) Prec@5 62.109 (61.217)
Epoch: [13][2260/5005] Time 0.201 (0.224) Data 0.043 (0.073) Loss 2.8800 (2.9827) Prec@1 35.156 (35.559) Prec@5 62.891 (61.223)
Epoch: [13][2270/5005] Time 0.197 (0.223) Data 0.046 (0.073) Loss 3.1529 (2.9824) Prec@1 35.938 (35.568) Prec@5 58.984 (61.227)
Epoch: [13][2280/5005] Time 0.203 (0.223) Data 0.058 (0.073) Loss 2.9504 (2.9824) Prec@1 34.766 (35.566) Prec@5 61.328 (61.226)
Epoch: [13][2290/5005] Time 0.211 (0.223) Data 0.045 (0.073) Loss 2.7511 (2.9823) Prec@1 41.016 (35.568) Prec@5 64.062 (61.227)
Epoch: [13][2300/5005] Time 0.206 (0.223) Data 0.052 (0.073) Loss 2.9322 (2.9823) Prec@1 37.109 (35.569) Prec@5 64.844 (61.230)
Epoch: [13][2310/5005] Time 0.200 (0.223) Data 0.078 (0.073) Loss 2.8170 (2.9822) Prec@1 37.500 (35.576) Prec@5 64.844 (61.233)
Epoch: [13][2320/5005] Time 0.195 (0.223) Data 0.053 (0.073) Loss 3.0791 (2.9821) Prec@1 34.375 (35.576) Prec@5 60.156 (61.238)
Epoch: [13][2330/5005] Time 0.197 (0.224) Data 0.048 (0.073) Loss 2.8719 (2.9819) Prec@1 37.500 (35.585) Prec@5 61.328 (61.240)
Epoch: [13][2340/5005] Time 0.193 (0.224) Data 0.059 (0.073) Loss 2.9163 (2.9817) Prec@1 35.156 (35.587) Prec@5 60.938 (61.243)
Epoch: [13][2350/5005] Time 0.198 (0.224) Data 0.049 (0.073) Loss 2.8690 (2.9818) Prec@1 37.500 (35.588) Prec@5 59.375 (61.243)
Epoch: [13][2360/5005] Time 0.194 (0.224) Data 0.042 (0.074) Loss 2.9310 (2.9818) Prec@1 37.500 (35.588) Prec@5 60.547 (61.242)
Epoch: [13][2370/5005] Time 0.390 (0.224) Data 0.302 (0.074) Loss 2.9760 (2.9818) Prec@1 32.422 (35.587) Prec@5 60.156 (61.239)
Epoch: [13][2380/5005] Time 0.222 (0.224) Data 0.044 (0.074) Loss 3.0865 (2.9817) Prec@1 34.375 (35.590) Prec@5 57.031 (61.244)
Epoch: [13][2390/5005] Time 0.195 (0.224) Data 0.060 (0.074) Loss 3.0098 (2.9815) Prec@1 36.328 (35.595) Prec@5 58.594 (61.244)
Epoch: [13][2400/5005] Time 0.195 (0.224) Data 0.050 (0.074) Loss 2.8225 (2.9814) Prec@1 39.062 (35.596) Prec@5 62.891 (61.245)
Epoch: [13][2410/5005] Time 0.208 (0.224) Data 0.047 (0.074) Loss 3.0440 (2.9815) Prec@1 32.031 (35.595) Prec@5 59.766 (61.243)
Epoch: [13][2420/5005] Time 0.223 (0.224) Data 0.043 (0.074) Loss 2.8829 (2.9811) Prec@1 35.156 (35.603) Prec@5 65.234 (61.249)
Epoch: [13][2430/5005] Time 0.192 (0.224) Data 0.062 (0.074) Loss 2.8293 (2.9814) Prec@1 37.109 (35.598) Prec@5 65.234 (61.242)
Epoch: [13][2440/5005] Time 0.201 (0.224) Data 0.051 (0.074) Loss 2.7366 (2.9812) Prec@1 44.531 (35.600) Prec@5 64.453 (61.244)
Epoch: [13][2450/5005] Time 0.194 (0.224) Data 0.051 (0.074) Loss 2.8995 (2.9813) Prec@1 37.109 (35.604) Prec@5 60.938 (61.244)
Epoch: [13][2460/5005] Time 0.202 (0.224) Data 0.044 (0.074) Loss 2.8861 (2.9812) Prec@1 35.938 (35.600) Prec@5 61.719 (61.244)
Epoch: [13][2470/5005] Time 0.198 (0.224) Data 0.047 (0.074) Loss 2.8907 (2.9811) Prec@1 39.844 (35.601) Prec@5 60.547 (61.245)
Epoch: [13][2480/5005] Time 0.204 (0.224) Data 0.049 (0.074) Loss 3.0483 (2.9811) Prec@1 35.156 (35.602) Prec@5 62.500 (61.248)
Epoch: [13][2490/5005] Time 0.198 (0.224) Data 0.043 (0.074) Loss 2.7030 (2.9810) Prec@1 40.234 (35.602) Prec@5 67.578 (61.248)
Epoch: [13][2500/5005] Time 0.261 (0.224) Data 0.172 (0.074) Loss 2.9482 (2.9808) Prec@1 36.719 (35.609) Prec@5 60.938 (61.251)
Epoch: [13][2510/5005] Time 0.201 (0.224) Data 0.047 (0.074) Loss 3.1633 (2.9809) Prec@1 31.250 (35.602) Prec@5 60.938 (61.252)
Epoch: [13][2520/5005] Time 0.205 (0.224) Data 0.065 (0.074) Loss 2.9704 (2.9809) Prec@1 34.375 (35.600) Prec@5 62.891 (61.253)
Epoch: [13][2530/5005] Time 0.202 (0.224) Data 0.044 (0.074) Loss 3.1284 (2.9811) Prec@1 32.422 (35.597) Prec@5 55.859 (61.250)
Epoch: [13][2540/5005] Time 0.209 (0.224) Data 0.050 (0.074) Loss 2.9234 (2.9810) Prec@1 32.031 (35.599) Prec@5 63.672 (61.254)
Epoch: [13][2550/5005] Time 0.212 (0.224) Data 0.131 (0.074) Loss 3.0134 (2.9810) Prec@1 29.688 (35.595) Prec@5 60.156 (61.256)
Epoch: [13][2560/5005] Time 0.202 (0.224) Data 0.046 (0.074) Loss 3.1381 (2.9812) Prec@1 29.297 (35.592) Prec@5 58.203 (61.252)
Epoch: [13][2570/5005] Time 0.208 (0.224) Data 0.041 (0.074) Loss 3.0181 (2.9815) Prec@1 32.422 (35.593) Prec@5 60.938 (61.248)
Epoch: [13][2580/5005] Time 0.208 (0.224) Data 0.049 (0.074) Loss 2.9405 (2.9818) Prec@1 37.109 (35.593) Prec@5 61.719 (61.243)
Epoch: [13][2590/5005] Time 0.219 (0.224) Data 0.041 (0.074) Loss 3.0762 (2.9816) Prec@1 33.984 (35.601) Prec@5 60.156 (61.246)
Epoch: [13][2600/5005] Time 0.210 (0.224) Data 0.041 (0.074) Loss 2.9774 (2.9816) Prec@1 35.547 (35.602) Prec@5 63.281 (61.246)
Epoch: [13][2610/5005] Time 0.193 (0.224) Data 0.060 (0.074) Loss 3.2956 (2.9814) Prec@1 32.812 (35.601) Prec@5 55.859 (61.252)
Epoch: [13][2620/5005] Time 0.214 (0.224) Data 0.042 (0.074) Loss 3.0380 (2.9815) Prec@1 35.938 (35.599) Prec@5 59.375 (61.251)
Epoch: [13][2630/5005] Time 0.200 (0.224) Data 0.051 (0.074) Loss 3.2169 (2.9819) Prec@1 31.250 (35.593) Prec@5 56.250 (61.243)
Epoch: [13][2640/5005] Time 0.198 (0.224) Data 0.103 (0.074) Loss 3.1363 (2.9820) Prec@1 29.297 (35.587) Prec@5 58.203 (61.243)
Epoch: [13][2650/5005] Time 0.204 (0.224) Data 0.041 (0.074) Loss 3.1277 (2.9819) Prec@1 32.422 (35.589) Prec@5 60.547 (61.246)
Epoch: [13][2660/5005] Time 0.208 (0.224) Data 0.045 (0.074) Loss 3.1467 (2.9818) Prec@1 30.078 (35.590) Prec@5 59.375 (61.247)
Epoch: [13][2670/5005] Time 0.191 (0.224) Data 0.055 (0.074) Loss 2.7843 (2.9817) Prec@1 37.500 (35.594) Prec@5 64.453 (61.248)
Epoch: [13][2680/5005] Time 0.204 (0.224) Data 0.066 (0.074) Loss 2.7891 (2.9818) Prec@1 38.281 (35.591) Prec@5 66.406 (61.245)
Epoch: [13][2690/5005] Time 0.203 (0.224) Data 0.056 (0.074) Loss 2.7924 (2.9817) Prec@1 42.188 (35.594) Prec@5 66.016 (61.246)
Epoch: [13][2700/5005] Time 0.203 (0.224) Data 0.041 (0.074) Loss 2.8805 (2.9817) Prec@1 37.891 (35.591) Prec@5 64.062 (61.248)
Epoch: [13][2710/5005] Time 0.449 (0.224) Data 0.366 (0.074) Loss 2.6988 (2.9818) Prec@1 39.062 (35.582) Prec@5 65.625 (61.246)
Epoch: [13][2720/5005] Time 0.220 (0.224) Data 0.128 (0.074) Loss 3.0219 (2.9819) Prec@1 35.547 (35.579) Prec@5 64.062 (61.246)
Epoch: [13][2730/5005] Time 0.204 (0.224) Data 0.041 (0.074) Loss 3.0688 (2.9817) Prec@1 33.984 (35.580) Prec@5 58.594 (61.249)
Epoch: [13][2740/5005] Time 0.202 (0.224) Data 0.046 (0.074) Loss 2.7942 (2.9815) Prec@1 42.188 (35.588) Prec@5 66.406 (61.254)
Epoch: [13][2750/5005] Time 0.203 (0.224) Data 0.044 (0.074) Loss 2.9411 (2.9815) Prec@1 35.156 (35.590) Prec@5 64.844 (61.254)
Epoch: [13][2760/5005] Time 0.197 (0.224) Data 0.052 (0.074) Loss 2.9621 (2.9815) Prec@1 35.547 (35.589) Prec@5 62.109 (61.257)
Epoch: [13][2770/5005] Time 0.194 (0.224) Data 0.109 (0.074) Loss 2.7968 (2.9814) Prec@1 37.500 (35.589) Prec@5 61.719 (61.258)
Epoch: [13][2780/5005] Time 0.198 (0.224) Data 0.049 (0.075) Loss 3.2878 (2.9815) Prec@1 31.250 (35.590) Prec@5 54.688 (61.256)
Epoch: [13][2790/5005] Time 0.203 (0.224) Data 0.049 (0.075) Loss 3.3197 (2.9816) Prec@1 30.078 (35.590) Prec@5 56.641 (61.252)
Epoch: [13][2800/5005] Time 0.204 (0.224) Data 0.045 (0.075) Loss 2.8487 (2.9814) Prec@1 37.891 (35.596) Prec@5 66.016 (61.257)
Epoch: [13][2810/5005] Time 0.203 (0.224) Data 0.041 (0.075) Loss 3.0799 (2.9815) Prec@1 33.203 (35.593) Prec@5 57.031 (61.255)
Epoch: [13][2820/5005] Time 0.268 (0.224) Data 0.193 (0.075) Loss 2.5537 (2.9814) Prec@1 37.891 (35.591) Prec@5 68.750 (61.259)
Epoch: [13][2830/5005] Time 0.202 (0.224) Data 0.039 (0.075) Loss 3.1934 (2.9814) Prec@1 32.812 (35.592) Prec@5 58.203 (61.255)
Epoch: [13][2840/5005] Time 0.205 (0.224) Data 0.042 (0.075) Loss 3.0704 (2.9815) Prec@1 33.594 (35.588) Prec@5 59.766 (61.252)
Epoch: [13][2850/5005] Time 0.207 (0.224) Data 0.049 (0.075) Loss 3.0269 (2.9814) Prec@1 35.938 (35.589) Prec@5 59.766 (61.255)
Epoch: [13][2860/5005] Time 0.199 (0.224) Data 0.051 (0.075) Loss 2.9215 (2.9816) Prec@1 36.719 (35.591) Prec@5 60.938 (61.254)
Epoch: [13][2870/5005] Time 0.193 (0.224) Data 0.053 (0.075) Loss 2.8137 (2.9814) Prec@1 33.594 (35.597) Prec@5 62.500 (61.258)
Epoch: [13][2880/5005] Time 0.205 (0.224) Data 0.047 (0.075) Loss 2.9308 (2.9814) Prec@1 35.156 (35.598) Prec@5 61.328 (61.254)
Epoch: [13][2890/5005] Time 0.210 (0.224) Data 0.055 (0.075) Loss 3.1114 (2.9812) Prec@1 28.516 (35.601) Prec@5 57.812 (61.257)
Epoch: [13][2900/5005] Time 0.207 (0.224) Data 0.040 (0.075) Loss 2.8348 (2.9809) Prec@1 39.844 (35.605) Prec@5 64.844 (61.263)
Epoch: [13][2910/5005] Time 0.211 (0.224) Data 0.045 (0.075) Loss 2.9352 (2.9809) Prec@1 35.938 (35.608) Prec@5 63.281 (61.265)
Epoch: [13][2920/5005] Time 0.204 (0.224) Data 0.086 (0.075) Loss 3.0581 (2.9810) Prec@1 31.641 (35.605) Prec@5 60.156 (61.266)
Epoch: [13][2930/5005] Time 0.191 (0.224) Data 0.046 (0.075) Loss 3.1450 (2.9809) Prec@1 31.641 (35.607) Prec@5 57.812 (61.264)
Epoch: [13][2940/5005] Time 0.269 (0.224) Data 0.183 (0.075) Loss 3.0386 (2.9809) Prec@1 33.203 (35.606) Prec@5 60.156 (61.265)
Epoch: [13][2950/5005] Time 0.198 (0.224) Data 0.048 (0.075) Loss 3.2336 (2.9808) Prec@1 30.469 (35.602) Prec@5 54.297 (61.266)
Epoch: [13][2960/5005] Time 0.196 (0.224) Data 0.057 (0.075) Loss 2.9827 (2.9807) Prec@1 39.062 (35.605) Prec@5 62.891 (61.266)
Epoch: [13][2970/5005] Time 0.219 (0.224) Data 0.042 (0.075) Loss 3.2747 (2.9807) Prec@1 29.688 (35.599) Prec@5 57.422 (61.262)
Epoch: [13][2980/5005] Time 0.215 (0.224) Data 0.042 (0.075) Loss 3.0673 (2.9808) Prec@1 35.156 (35.596) Prec@5 60.156 (61.259)
Epoch: [13][2990/5005] Time 0.208 (0.224) Data 0.048 (0.075) Loss 2.8388 (2.9808) Prec@1 39.844 (35.598) Prec@5 64.062 (61.258)
Epoch: [13][3000/5005] Time 0.206 (0.224) Data 0.039 (0.075) Loss 3.0347 (2.9806) Prec@1 38.672 (35.603) Prec@5 60.938 (61.258)
Epoch: [13][3010/5005] Time 0.256 (0.224) Data 0.173 (0.075) Loss 2.8991 (2.9808) Prec@1 37.891 (35.603) Prec@5 60.547 (61.252)
Epoch: [13][3020/5005] Time 0.199 (0.224) Data 0.045 (0.075) Loss 2.8711 (2.9809) Prec@1 38.672 (35.603) Prec@5 61.719 (61.248)
Epoch: [13][3030/5005] Time 0.212 (0.224) Data 0.131 (0.075) Loss 2.9752 (2.9808) Prec@1 35.547 (35.600) Prec@5 62.500 (61.252)
Epoch: [13][3040/5005] Time 0.203 (0.224) Data 0.047 (0.075) Loss 2.7643 (2.9807) Prec@1 38.672 (35.601) Prec@5 62.891 (61.252)
Epoch: [13][3050/5005] Time 0.194 (0.224) Data 0.055 (0.075) Loss 2.9569 (2.9807) Prec@1 30.469 (35.596) Prec@5 61.719 (61.252)
Epoch: [13][3060/5005] Time 0.208 (0.224) Data 0.047 (0.075) Loss 2.8558 (2.9806) Prec@1 37.109 (35.594) Prec@5 67.188 (61.251)
Epoch: [13][3070/5005] Time 0.201 (0.224) Data 0.047 (0.075) Loss 3.0077 (2.9807) Prec@1 31.250 (35.592) Prec@5 60.156 (61.249)
Epoch: [13][3080/5005] Time 0.206 (0.224) Data 0.046 (0.075) Loss 2.8862 (2.9807) Prec@1 35.156 (35.589) Prec@5 59.766 (61.247)
Epoch: [13][3090/5005] Time 0.205 (0.224) Data 0.044 (0.075) Loss 3.3672 (2.9808) Prec@1 28.906 (35.585) Prec@5 55.859 (61.249)
Epoch: [13][3100/5005] Time 0.197 (0.224) Data 0.043 (0.075) Loss 3.0061 (2.9809) Prec@1 34.766 (35.585) Prec@5 58.203 (61.249)
Epoch: [13][3110/5005] Time 0.211 (0.224) Data 0.042 (0.075) Loss 2.7416 (2.9807) Prec@1 35.938 (35.586) Prec@5 66.797 (61.254)
Epoch: [13][3120/5005] Time 0.206 (0.224) Data 0.044 (0.075) Loss 2.9970 (2.9807) Prec@1 32.812 (35.584) Prec@5 58.594 (61.250)
Epoch: [13][3130/5005] Time 0.205 (0.224) Data 0.043 (0.075) Loss 3.0209 (2.9806) Prec@1 35.547 (35.589) Prec@5 58.594 (61.251)
Epoch: [13][3140/5005] Time 0.362 (0.224) Data 0.275 (0.075) Loss 2.8637 (2.9804) Prec@1 37.109 (35.594) Prec@5 61.719 (61.254)
Epoch: [13][3150/5005] Time 0.203 (0.224) Data 0.046 (0.075) Loss 2.8245 (2.9802) Prec@1 40.625 (35.601) Prec@5 64.453 (61.255)
Epoch: [13][3160/5005] Time 0.422 (0.224) Data 0.332 (0.075) Loss 2.8494 (2.9801) Prec@1 39.453 (35.608) Prec@5 63.281 (61.258)
Epoch: [13][3170/5005] Time 0.204 (0.224) Data 0.092 (0.075) Loss 3.0449 (2.9801) Prec@1 36.328 (35.606) Prec@5 64.062 (61.257)
Epoch: [13][3180/5005] Time 0.205 (0.224) Data 0.044 (0.075) Loss 2.9573 (2.9802) Prec@1 36.719 (35.607) Prec@5 59.766 (61.257)
Epoch: [13][3190/5005] Time 0.211 (0.224) Data 0.045 (0.075) Loss 3.1280 (2.9803) Prec@1 35.156 (35.604) Prec@5 56.641 (61.254)
Epoch: [13][3200/5005] Time 0.206 (0.224) Data 0.046 (0.075) Loss 2.8710 (2.9803) Prec@1 36.328 (35.604) Prec@5 61.328 (61.256)
Epoch: [13][3210/5005] Time 0.200 (0.224) Data 0.054 (0.075) Loss 3.1930 (2.9803) Prec@1 35.156 (35.608) Prec@5 56.250 (61.260)
Epoch: [13][3220/5005] Time 0.206 (0.224) Data 0.041 (0.075) Loss 3.0757 (2.9805) Prec@1 37.500 (35.609) Prec@5 60.938 (61.258)
Epoch: [13][3230/5005] Time 0.197 (0.224) Data 0.101 (0.075) Loss 2.9200 (2.9804) Prec@1 37.500 (35.609) Prec@5 60.938 (61.260)
Epoch: [13][3240/5005] Time 0.198 (0.224) Data 0.066 (0.075) Loss 3.3404 (2.9809) Prec@1 27.734 (35.599) Prec@5 57.031 (61.253)
Epoch: [13][3250/5005] Time 0.202 (0.224) Data 0.057 (0.075) Loss 3.0381 (2.9810) Prec@1 37.500 (35.598) Prec@5 62.109 (61.253)
Epoch: [13][3260/5005] Time 0.285 (0.224) Data 0.196 (0.075) Loss 2.9432 (2.9810) Prec@1 37.109 (35.596) Prec@5 61.719 (61.254)
Epoch: [13][3270/5005] Time 0.200 (0.224) Data 0.087 (0.075) Loss 3.1268 (2.9809) Prec@1 35.156 (35.600) Prec@5 58.203 (61.255)
Epoch: [13][3280/5005] Time 0.205 (0.224) Data 0.046 (0.075) Loss 2.8455 (2.9811) Prec@1 37.891 (35.599) Prec@5 66.016 (61.249)
Epoch: [13][3290/5005] Time 0.198 (0.224) Data 0.045 (0.075) Loss 3.0017 (2.9810) Prec@1 40.625 (35.602) Prec@5 60.156 (61.249)
Epoch: [13][3300/5005] Time 0.191 (0.224) Data 0.049 (0.075) Loss 2.9462 (2.9810) Prec@1 34.766 (35.601) Prec@5 60.547 (61.247)
Epoch: [13][3310/5005] Time 0.192 (0.224) Data 0.046 (0.075) Loss 2.9310 (2.9811) Prec@1 35.938 (35.599) Prec@5 60.156 (61.242)
Epoch: [13][3320/5005] Time 0.208 (0.224) Data 0.044 (0.075) Loss 3.2043 (2.9811) Prec@1 37.109 (35.601) Prec@5 56.250 (61.240)
Epoch: [13][3330/5005] Time 0.434 (0.224) Data 0.342 (0.075) Loss 3.1526 (2.9812) Prec@1 33.984 (35.598) Prec@5 54.688 (61.242)
Epoch: [13][3340/5005] Time 0.204 (0.224) Data 0.045 (0.075) Loss 3.0531 (2.9813) Prec@1 36.719 (35.597) Prec@5 60.156 (61.241)
Epoch: [13][3350/5005] Time 0.204 (0.224) Data 0.043 (0.075) Loss 3.1784 (2.9813) Prec@1 33.984 (35.596) Prec@5 57.031 (61.240)
Epoch: [13][3360/5005] Time 0.198 (0.224) Data 0.045 (0.075) Loss 2.9415 (2.9814) Prec@1 38.672 (35.597) Prec@5 63.281 (61.240)
Epoch: [13][3370/5005] Time 0.228 (0.224) Data 0.149 (0.075) Loss 2.9123 (2.9815) Prec@1 34.766 (35.597) Prec@5 64.844 (61.237)
Epoch: [13][3380/5005] Time 0.243 (0.224) Data 0.165 (0.075) Loss 2.8080 (2.9813) Prec@1 40.234 (35.599) Prec@5 66.406 (61.240)
Epoch: [13][3390/5005] Time 0.198 (0.224) Data 0.048 (0.075) Loss 2.9638 (2.9814) Prec@1 35.156 (35.601) Prec@5 62.500 (61.239)
Epoch: [13][3400/5005] Time 0.212 (0.224) Data 0.044 (0.075) Loss 2.9139 (2.9814) Prec@1 33.203 (35.599) Prec@5 64.453 (61.239)
Epoch: [13][3410/5005] Time 0.443 (0.224) Data 0.362 (0.075) Loss 2.9142 (2.9813) Prec@1 33.984 (35.602) Prec@5 66.016 (61.243)
Epoch: [13][3420/5005] Time 0.197 (0.224) Data 0.047 (0.076) Loss 2.9341 (2.9814) Prec@1 36.719 (35.601) Prec@5 60.156 (61.240)
Epoch: [13][3430/5005] Time 0.198 (0.224) Data 0.052 (0.076) Loss 2.8890 (2.9813) Prec@1 37.891 (35.602) Prec@5 62.500 (61.243)
Epoch: [13][3440/5005] Time 0.197 (0.224) Data 0.049 (0.076) Loss 3.1366 (2.9812) Prec@1 32.812 (35.602) Prec@5 57.031 (61.245)
Epoch: [13][3450/5005] Time 0.266 (0.224) Data 0.175 (0.076) Loss 2.7718 (2.9811) Prec@1 39.062 (35.605) Prec@5 67.578 (61.247)
Epoch: [13][3460/5005] Time 0.203 (0.224) Data 0.043 (0.076) Loss 2.8802 (2.9811) Prec@1 40.234 (35.607) Prec@5 62.500 (61.246)
Epoch: [13][3470/5005] Time 0.449 (0.224) Data 0.355 (0.076) Loss 2.7201 (2.9809) Prec@1 41.797 (35.612) Prec@5 64.453 (61.247)
Epoch: [13][3480/5005] Time 0.194 (0.224) Data 0.049 (0.076) Loss 2.8966 (2.9806) Prec@1 37.500 (35.616) Prec@5 62.500 (61.253)
Epoch: [13][3490/5005] Time 0.197 (0.224) Data 0.050 (0.076) Loss 3.1465 (2.9806) Prec@1 31.250 (35.615) Prec@5 55.469 (61.251)
Epoch: [13][3500/5005] Time 0.209 (0.224) Data 0.041 (0.076) Loss 2.8166 (2.9806) Prec@1 42.188 (35.617) Prec@5 64.844 (61.251)
Epoch: [13][3510/5005] Time 0.206 (0.224) Data 0.039 (0.076) Loss 2.9323 (2.9806) Prec@1 33.594 (35.614) Prec@5 58.984 (61.250)
Epoch: [13][3520/5005] Time 0.206 (0.224) Data 0.051 (0.076) Loss 3.2628 (2.9807) Prec@1 32.031 (35.614) Prec@5 55.859 (61.249)
Epoch: [13][3530/5005] Time 0.197 (0.224) Data 0.047 (0.076) Loss 2.9172 (2.9806) Prec@1 39.844 (35.617) Prec@5 63.281 (61.253)
Epoch: [13][3540/5005] Time 0.205 (0.224) Data 0.049 (0.076) Loss 2.9051 (2.9805) Prec@1 35.547 (35.621) Prec@5 62.891 (61.255)
Epoch: [13][3550/5005] Time 0.211 (0.224) Data 0.042 (0.076) Loss 2.9903 (2.9803) Prec@1 38.672 (35.624) Prec@5 59.375 (61.257)
Epoch: [13][3560/5005] Time 0.204 (0.224) Data 0.041 (0.076) Loss 3.1831 (2.9803) Prec@1 31.250 (35.623) Prec@5 57.031 (61.259)
Epoch: [13][3570/5005] Time 0.649 (0.224) Data 0.561 (0.076) Loss 3.0282 (2.9803) Prec@1 35.938 (35.624) Prec@5 64.062 (61.263)
Epoch: [13][3580/5005] Time 0.209 (0.224) Data 0.040 (0.076) Loss 2.9097 (2.9803) Prec@1 37.500 (35.622) Prec@5 62.109 (61.262)
Epoch: [13][3590/5005] Time 0.197 (0.224) Data 0.042 (0.076) Loss 3.0357 (2.9801) Prec@1 32.422 (35.627) Prec@5 59.375 (61.265)
Epoch: [13][3600/5005] Time 0.201 (0.224) Data 0.050 (0.076) Loss 3.0084 (2.9798) Prec@1 36.328 (35.630) Prec@5 58.594 (61.268)
Epoch: [13][3610/5005] Time 0.428 (0.224) Data 0.335 (0.076) Loss 2.8159 (2.9799) Prec@1 41.406 (35.630) Prec@5 64.062 (61.269)
Epoch: [13][3620/5005] Time 0.190 (0.224) Data 0.053 (0.076) Loss 3.1643 (2.9799) Prec@1 33.984 (35.632) Prec@5 56.641 (61.270)
Epoch: [13][3630/5005] Time 0.203 (0.224) Data 0.101 (0.076) Loss 3.2257 (2.9798) Prec@1 31.250 (35.631) Prec@5 55.078 (61.270)
Epoch: [13][3640/5005] Time 0.200 (0.224) Data 0.048 (0.076) Loss 2.9371 (2.9798) Prec@1 37.891 (35.633) Prec@5 62.891 (61.270)
Epoch: [13][3650/5005] Time 0.308 (0.224) Data 0.224 (0.076) Loss 2.8020 (2.9799) Prec@1 37.891 (35.630) Prec@5 64.453 (61.270)
Epoch: [13][3660/5005] Time 0.294 (0.224) Data 0.198 (0.076) Loss 3.1057 (2.9797) Prec@1 31.641 (35.629) Prec@5 56.641 (61.273)
Epoch: [13][3670/5005] Time 0.193 (0.224) Data 0.051 (0.076) Loss 2.9887 (2.9797) Prec@1 35.547 (35.630) Prec@5 63.281 (61.270)
Epoch: [13][3680/5005] Time 0.198 (0.224) Data 0.064 (0.076) Loss 2.9501 (2.9800) Prec@1 34.766 (35.626) Prec@5 59.766 (61.265)
Epoch: [13][3690/5005] Time 0.201 (0.224) Data 0.043 (0.076) Loss 2.8090 (2.9799) Prec@1 36.328 (35.627) Prec@5 64.844 (61.266)
Epoch: [13][3700/5005] Time 0.198 (0.224) Data 0.057 (0.076) Loss 3.0449 (2.9800) Prec@1 33.984 (35.624) Prec@5 62.500 (61.265)
Epoch: [13][3710/5005] Time 0.198 (0.224) Data 0.053 (0.076) Loss 2.7959 (2.9800) Prec@1 40.625 (35.627) Prec@5 67.969 (61.268)
Epoch: [13][3720/5005] Time 0.212 (0.224) Data 0.054 (0.076) Loss 3.1820 (2.9799) Prec@1 36.719 (35.627) Prec@5 58.984 (61.269)
Epoch: [13][3730/5005] Time 0.204 (0.224) Data 0.044 (0.076) Loss 2.8373 (2.9798) Prec@1 38.672 (35.628) Prec@5 64.844 (61.270)
Epoch: [13][3740/5005] Time 0.730 (0.224) Data 0.634 (0.076) Loss 2.9873 (2.9796) Prec@1 37.109 (35.630) Prec@5 60.156 (61.274)
Epoch: [13][3750/5005] Time 0.203 (0.224) Data 0.053 (0.076) Loss 2.7854 (2.9796) Prec@1 38.672 (35.630) Prec@5 68.359 (61.274)
Epoch: [13][3760/5005] Time 0.200 (0.224) Data 0.049 (0.076) Loss 3.0922 (2.9798) Prec@1 32.031 (35.628) Prec@5 58.984 (61.270)
Epoch: [13][3770/5005] Time 0.202 (0.224) Data 0.038 (0.076) Loss 3.0926 (2.9797) Prec@1 30.078 (35.628) Prec@5 55.469 (61.269)
Epoch: [13][3780/5005] Time 0.211 (0.224) Data 0.126 (0.076) Loss 3.0747 (2.9797) Prec@1 34.766 (35.628) Prec@5 59.766 (61.271)
Epoch: [13][3790/5005] Time 0.209 (0.224) Data 0.047 (0.076) Loss 3.1442 (2.9798) Prec@1 33.203 (35.623) Prec@5 60.547 (61.270)
Epoch: [13][3800/5005] Time 0.206 (0.224) Data 0.046 (0.076) Loss 3.0014 (2.9799) Prec@1 38.281 (35.621) Prec@5 62.109 (61.266)
Epoch: [13][3810/5005] Time 0.211 (0.224) Data 0.044 (0.076) Loss 2.9103 (2.9800) Prec@1 34.375 (35.620) Prec@5 64.062 (61.265)
Epoch: [13][3820/5005] Time 0.202 (0.224) Data 0.044 (0.076) Loss 2.8708 (2.9798) Prec@1 38.281 (35.620) Prec@5 63.281 (61.270)
Epoch: [13][3830/5005] Time 0.201 (0.224) Data 0.056 (0.076) Loss 3.0879 (2.9797) Prec@1 32.031 (35.623) Prec@5 57.812 (61.274)
Epoch: [13][3840/5005] Time 0.208 (0.224) Data 0.048 (0.076) Loss 3.1870 (2.9797) Prec@1 29.688 (35.622) Prec@5 55.078 (61.272)
Epoch: [13][3850/5005] Time 0.195 (0.224) Data 0.046 (0.076) Loss 2.9540 (2.9798) Prec@1 33.984 (35.619) Prec@5 62.891 (61.272)
Epoch: [13][3860/5005] Time 0.202 (0.224) Data 0.046 (0.076) Loss 2.7255 (2.9799) Prec@1 43.750 (35.623) Prec@5 68.359 (61.273)
Epoch: [13][3870/5005] Time 0.200 (0.224) Data 0.047 (0.076) Loss 2.8799 (2.9800) Prec@1 37.109 (35.622) Prec@5 61.328 (61.270)
Epoch: [13][3880/5005] Time 0.208 (0.224) Data 0.049 (0.076) Loss 2.9085 (2.9801) Prec@1 38.281 (35.620) Prec@5 62.500 (61.266)
Epoch: [13][3890/5005] Time 0.199 (0.224) Data 0.053 (0.076) Loss 3.2256 (2.9801) Prec@1 32.031 (35.620) Prec@5 55.469 (61.265)
Epoch: [13][3900/5005] Time 0.206 (0.224) Data 0.044 (0.076) Loss 3.3661 (2.9801) Prec@1 32.031 (35.619) Prec@5 53.516 (61.264)
Epoch: [13][3910/5005] Time 0.341 (0.224) Data 0.255 (0.077) Loss 3.0354 (2.9800) Prec@1 35.938 (35.620) Prec@5 61.719 (61.265)
Epoch: [13][3920/5005] Time 0.200 (0.224) Data 0.055 (0.077) Loss 2.9188 (2.9800) Prec@1 37.891 (35.620) Prec@5 58.984 (61.264)
Epoch: [13][3930/5005] Time 0.202 (0.224) Data 0.042 (0.077) Loss 2.9049 (2.9798) Prec@1 34.766 (35.625) Prec@5 60.938 (61.268)
Epoch: [13][3940/5005] Time 0.199 (0.224) Data 0.056 (0.077) Loss 2.8880 (2.9797) Prec@1 38.672 (35.626) Prec@5 62.891 (61.271)
Epoch: [13][3950/5005] Time 0.228 (0.224) Data 0.146 (0.077) Loss 2.8907 (2.9796) Prec@1 35.156 (35.628) Prec@5 61.719 (61.274)
Epoch: [13][3960/5005] Time 0.202 (0.224) Data 0.118 (0.077) Loss 2.8144 (2.9796) Prec@1 38.672 (35.626) Prec@5 62.891 (61.272)
Epoch: [13][3970/5005] Time 0.206 (0.224) Data 0.044 (0.077) Loss 2.9342 (2.9796) Prec@1 38.672 (35.625) Prec@5 62.891 (61.270)
Epoch: [13][3980/5005] Time 0.196 (0.224) Data 0.040 (0.077) Loss 2.8325 (2.9795) Prec@1 35.156 (35.628) Prec@5 62.109 (61.270)
Epoch: [13][3990/5005] Time 0.249 (0.224) Data 0.168 (0.077) Loss 3.2061 (2.9797) Prec@1 30.859 (35.625) Prec@5 57.812 (61.270)
Epoch: [13][4000/5005] Time 0.214 (0.224) Data 0.052 (0.077) Loss 2.8395 (2.9796) Prec@1 37.500 (35.626) Prec@5 61.328 (61.271)
Epoch: [13][4010/5005] Time 0.202 (0.224) Data 0.039 (0.077) Loss 3.0141 (2.9794) Prec@1 35.547 (35.625) Prec@5 61.719 (61.277)
Epoch: [13][4020/5005] Time 0.210 (0.224) Data 0.043 (0.077) Loss 3.2322 (2.9795) Prec@1 33.594 (35.623) Prec@5 55.469 (61.276)
Epoch: [13][4030/5005] Time 0.376 (0.224) Data 0.293 (0.077) Loss 3.2293 (2.9799) Prec@1 35.547 (35.616) Prec@5 53.906 (61.265)
Epoch: [13][4040/5005] Time 0.240 (0.224) Data 0.156 (0.077) Loss 3.0145 (2.9801) Prec@1 35.156 (35.612) Prec@5 59.375 (61.261)
Epoch: [13][4050/5005] Time 0.206 (0.224) Data 0.041 (0.077) Loss 3.1255 (2.9801) Prec@1 32.031 (35.614) Prec@5 55.859 (61.261)
Epoch: [13][4060/5005] Time 0.410 (0.224) Data 0.325 (0.077) Loss 2.9698 (2.9801) Prec@1 33.984 (35.610) Prec@5 60.156 (61.260)
Epoch: [13][4070/5005] Time 0.197 (0.224) Data 0.048 (0.077) Loss 3.1411 (2.9801) Prec@1 33.594 (35.610) Prec@5 60.547 (61.262)
Epoch: [13][4080/5005] Time 0.206 (0.224) Data 0.043 (0.077) Loss 2.9880 (2.9800) Prec@1 34.766 (35.611) Prec@5 60.938 (61.263)
Epoch: [13][4090/5005] Time 0.196 (0.224) Data 0.042 (0.077) Loss 3.0131 (2.9800) Prec@1 35.156 (35.611) Prec@5 60.156 (61.264)
Epoch: [13][4100/5005] Time 0.208 (0.224) Data 0.046 (0.077) Loss 2.9998 (2.9800) Prec@1 33.594 (35.610) Prec@5 62.500 (61.267)
Epoch: [13][4110/5005] Time 0.219 (0.224) Data 0.043 (0.077) Loss 3.1734 (2.9800) Prec@1 34.766 (35.609) Prec@5 57.422 (61.266)
Epoch: [13][4120/5005] Time 0.211 (0.224) Data 0.047 (0.077) Loss 3.1043 (2.9799) Prec@1 36.328 (35.611) Prec@5 60.938 (61.269)
Epoch: [13][4130/5005] Time 0.203 (0.224) Data 0.046 (0.077) Loss 3.1070 (2.9800) Prec@1 34.766 (35.611) Prec@5 58.594 (61.268)
Epoch: [13][4140/5005] Time 0.192 (0.224) Data 0.054 (0.077) Loss 3.0568 (2.9799) Prec@1 34.766 (35.611) Prec@5 57.031 (61.268)
Epoch: [13][4150/5005] Time 0.200 (0.224) Data 0.043 (0.077) Loss 3.1847 (2.9801) Prec@1 30.469 (35.607) Prec@5 60.547 (61.267)
Epoch: [13][4160/5005] Time 0.205 (0.224) Data 0.048 (0.077) Loss 2.9454 (2.9802) Prec@1 33.594 (35.606) Prec@5 60.547 (61.266)
Epoch: [13][4170/5005] Time 0.194 (0.224) Data 0.047 (0.077) Loss 2.9322 (2.9800) Prec@1 35.547 (35.612) Prec@5 63.281 (61.273)
Epoch: [13][4180/5005] Time 0.537 (0.224) Data 0.453 (0.077) Loss 2.9814 (2.9800) Prec@1 36.719 (35.613) Prec@5 65.234 (61.273)
Epoch: [13][4190/5005] Time 0.188 (0.224) Data 0.045 (0.077) Loss 2.9522 (2.9800) Prec@1 36.719 (35.615) Prec@5 60.938 (61.271)
Epoch: [13][4200/5005] Time 0.190 (0.224) Data 0.046 (0.077) Loss 2.8266 (2.9800) Prec@1 39.062 (35.619) Prec@5 62.109 (61.272)
Epoch: [13][4210/5005] Time 0.203 (0.224) Data 0.048 (0.077) Loss 2.8676 (2.9800) Prec@1 32.031 (35.617) Prec@5 61.328 (61.270)
Epoch: [13][4220/5005] Time 0.252 (0.224) Data 0.165 (0.077) Loss 3.1362 (2.9801) Prec@1 33.984 (35.616) Prec@5 57.812 (61.266)
Epoch: [13][4230/5005] Time 0.206 (0.224) Data 0.043 (0.077) Loss 2.9889 (2.9800) Prec@1 35.547 (35.619) Prec@5 60.938 (61.268)
Epoch: [13][4240/5005] Time 0.257 (0.224) Data 0.168 (0.077) Loss 2.9847 (2.9802) Prec@1 35.547 (35.618) Prec@5 60.156 (61.268)
Epoch: [13][4250/5005] Time 0.193 (0.224) Data 0.102 (0.077) Loss 2.8429 (2.9801) Prec@1 39.844 (35.619) Prec@5 64.453 (61.270)
Epoch: [13][4260/5005] Time 0.205 (0.224) Data 0.051 (0.077) Loss 2.9342 (2.9800) Prec@1 36.719 (35.620) Prec@5 62.891 (61.271)
Epoch: [13][4270/5005] Time 0.195 (0.224) Data 0.049 (0.077) Loss 3.3522 (2.9802) Prec@1 31.250 (35.619) Prec@5 55.859 (61.267)
Epoch: [13][4280/5005] Time 0.201 (0.224) Data 0.044 (0.077) Loss 3.0590 (2.9802) Prec@1 36.719 (35.621) Prec@5 62.109 (61.270)
Epoch: [13][4290/5005] Time 0.526 (0.224) Data 0.445 (0.077) Loss 3.1599 (2.9804) Prec@1 33.594 (35.615) Prec@5 60.156 (61.268)
Epoch: [13][4300/5005] Time 0.205 (0.224) Data 0.051 (0.077) Loss 2.7421 (2.9802) Prec@1 34.375 (35.615) Prec@5 64.844 (61.270)
Epoch: [13][4310/5005] Time 0.207 (0.224) Data 0.042 (0.077) Loss 2.9795 (2.9803) Prec@1 35.938 (35.616) Prec@5 60.547 (61.270)
Epoch: [13][4320/5005] Time 0.211 (0.224) Data 0.041 (0.077) Loss 2.9384 (2.9803) Prec@1 36.328 (35.616) Prec@5 62.109 (61.269)
Epoch: [13][4330/5005] Time 0.199 (0.224) Data 0.115 (0.077) Loss 2.8565 (2.9802) Prec@1 37.500 (35.618) Prec@5 63.281 (61.270)
Epoch: [13][4340/5005] Time 0.197 (0.224) Data 0.086 (0.077) Loss 2.9396 (2.9803) Prec@1 36.328 (35.618) Prec@5 60.938 (61.270)
Epoch: [13][4350/5005] Time 0.211 (0.224) Data 0.051 (0.077) Loss 2.8777 (2.9802) Prec@1 37.891 (35.620) Prec@5 61.328 (61.273)
Epoch: [13][4360/5005] Time 0.203 (0.224) Data 0.045 (0.077) Loss 2.8674 (2.9801) Prec@1 37.891 (35.620) Prec@5 64.453 (61.273)
Epoch: [13][4370/5005] Time 0.363 (0.224) Data 0.275 (0.077) Loss 2.9005 (2.9801) Prec@1 35.938 (35.621) Prec@5 60.547 (61.274)
Epoch: [13][4380/5005] Time 0.201 (0.224) Data 0.049 (0.077) Loss 3.1341 (2.9801) Prec@1 33.984 (35.620) Prec@5 58.594 (61.272)
Epoch: [13][4390/5005] Time 0.202 (0.224) Data 0.068 (0.077) Loss 3.0674 (2.9799) Prec@1 28.906 (35.623) Prec@5 56.250 (61.276)
Epoch: [13][4400/5005] Time 0.203 (0.224) Data 0.059 (0.077) Loss 2.9226 (2.9799) Prec@1 34.766 (35.621) Prec@5 60.938 (61.274)
Epoch: [13][4410/5005] Time 0.195 (0.224) Data 0.106 (0.077) Loss 2.9407 (2.9798) Prec@1 35.156 (35.623) Prec@5 60.156 (61.273)
Epoch: [13][4420/5005] Time 0.195 (0.224) Data 0.054 (0.077) Loss 2.5857 (2.9797) Prec@1 44.922 (35.623) Prec@5 66.406 (61.275)
Epoch: [13][4430/5005] Time 0.203 (0.224) Data 0.052 (0.077) Loss 3.1409 (2.9796) Prec@1 34.375 (35.628) Prec@5 57.422 (61.279)
Epoch: [13][4440/5005] Time 0.204 (0.224) Data 0.046 (0.077) Loss 3.0441 (2.9796) Prec@1 33.984 (35.627) Prec@5 61.328 (61.280)
Epoch: [13][4450/5005] Time 0.306 (0.224) Data 0.217 (0.077) Loss 2.7803 (2.9795) Prec@1 38.281 (35.628) Prec@5 66.016 (61.282)
Epoch: [13][4460/5005] Time 0.209 (0.224) Data 0.043 (0.077) Loss 2.9545 (2.9794) Prec@1 38.281 (35.629) Prec@5 61.328 (61.283)
Epoch: [13][4470/5005] Time 0.212 (0.224) Data 0.042 (0.077) Loss 3.0094 (2.9796) Prec@1 32.812 (35.626) Prec@5 62.891 (61.282)
Epoch: [13][4480/5005] Time 0.740 (0.224) Data 0.656 (0.078) Loss 2.8345 (2.9798) Prec@1 37.109 (35.624) Prec@5 64.453 (61.280)
Epoch: [13][4490/5005] Time 0.208 (0.224) Data 0.047 (0.078) Loss 2.9901 (2.9798) Prec@1 35.938 (35.625) Prec@5 62.500 (61.277)
Epoch: [13][4500/5005] Time 0.209 (0.224) Data 0.044 (0.077) Loss 2.8789 (2.9799) Prec@1 35.547 (35.625) Prec@5 63.281 (61.278)
Epoch: [13][4510/5005] Time 0.202 (0.224) Data 0.043 (0.077) Loss 2.9405 (2.9798) Prec@1 35.156 (35.623) Prec@5 63.672 (61.278)
Epoch: [13][4520/5005] Time 0.202 (0.224) Data 0.064 (0.077) Loss 2.8803 (2.9795) Prec@1 38.281 (35.629) Prec@5 64.844 (61.283)
Epoch: [13][4530/5005] Time 0.205 (0.224) Data 0.047 (0.078) Loss 2.9286 (2.9795) Prec@1 37.109 (35.630) Prec@5 62.109 (61.284)
Epoch: [13][4540/5005] Time 0.193 (0.224) Data 0.045 (0.078) Loss 3.1830 (2.9798) Prec@1 32.422 (35.626) Prec@5 57.812 (61.280)
Epoch: [13][4550/5005] Time 0.203 (0.224) Data 0.044 (0.078) Loss 3.0878 (2.9799) Prec@1 33.984 (35.624) Prec@5 61.328 (61.279)
Epoch: [13][4560/5005] Time 0.205 (0.224) Data 0.041 (0.078) Loss 3.0068 (2.9798) Prec@1 32.422 (35.625) Prec@5 61.719 (61.279)
Epoch: [13][4570/5005] Time 0.204 (0.224) Data 0.063 (0.078) Loss 3.0674 (2.9797) Prec@1 33.594 (35.625) Prec@5 60.156 (61.282)
Epoch: [13][4580/5005] Time 0.203 (0.224) Data 0.047 (0.078) Loss 2.9907 (2.9796) Prec@1 33.203 (35.626) Prec@5 59.766 (61.282)
Epoch: [13][4590/5005] Time 0.198 (0.224) Data 0.044 (0.078) Loss 2.8216 (2.9796) Prec@1 34.766 (35.625) Prec@5 65.625 (61.286)
Epoch: [13][4600/5005] Time 0.204 (0.224) Data 0.045 (0.077) Loss 2.7741 (2.9796) Prec@1 40.625 (35.626) Prec@5 65.625 (61.284)
Epoch: [13][4610/5005] Time 0.333 (0.224) Data 0.241 (0.078) Loss 2.7180 (2.9795) Prec@1 39.062 (35.629) Prec@5 67.578 (61.288)
Epoch: [13][4620/5005] Time 0.204 (0.224) Data 0.052 (0.078) Loss 2.8630 (2.9795) Prec@1 37.500 (35.631) Prec@5 63.281 (61.288)
Epoch: [13][4630/5005] Time 0.198 (0.224) Data 0.049 (0.078) Loss 2.8499 (2.9794) Prec@1 38.281 (35.633) Prec@5 64.062 (61.292)
Epoch: [13][4640/5005] Time 0.201 (0.224) Data 0.041 (0.078) Loss 3.0199 (2.9794) Prec@1 37.891 (35.632) Prec@5 59.375 (61.291)
Epoch: [13][4650/5005] Time 0.538 (0.224) Data 0.447 (0.078) Loss 2.9780 (2.9793) Prec@1 36.719 (35.631) Prec@5 60.547 (61.292)
Epoch: [13][4660/5005] Time 0.203 (0.224) Data 0.054 (0.078) Loss 3.2993 (2.9793) Prec@1 32.031 (35.632) Prec@5 53.516 (61.292)
Epoch: [13][4670/5005] Time 0.197 (0.224) Data 0.048 (0.078) Loss 2.9120 (2.9793) Prec@1 36.328 (35.635) Prec@5 63.281 (61.293)
Epoch: [13][4680/5005] Time 0.208 (0.224) Data 0.041 (0.078) Loss 2.9496 (2.9793) Prec@1 34.375 (35.636) Prec@5 63.672 (61.292)
Epoch: [13][4690/5005] Time 0.206 (0.224) Data 0.045 (0.078) Loss 3.1091 (2.9792) Prec@1 33.594 (35.635) Prec@5 57.422 (61.294)
Epoch: [13][4700/5005] Time 0.196 (0.224) Data 0.086 (0.078) Loss 2.9374 (2.9792) Prec@1 33.984 (35.634) Prec@5 62.109 (61.293)
Epoch: [13][4710/5005] Time 0.202 (0.224) Data 0.056 (0.078) Loss 2.9181 (2.9790) Prec@1 34.766 (35.636) Prec@5 64.844 (61.297)
Epoch: [13][4720/5005] Time 0.196 (0.224) Data 0.044 (0.078) Loss 2.6919 (2.9789) Prec@1 40.625 (35.636) Prec@5 67.969 (61.297)
Epoch: [13][4730/5005] Time 0.194 (0.224) Data 0.092 (0.078) Loss 3.0285 (2.9791) Prec@1 32.031 (35.634) Prec@5 61.719 (61.294)
Epoch: [13][4740/5005] Time 0.297 (0.224) Data 0.213 (0.078) Loss 2.8642 (2.9790) Prec@1 33.203 (35.635) Prec@5 61.328 (61.295)
Epoch: [13][4750/5005] Time 0.194 (0.224) Data 0.049 (0.078) Loss 2.8545 (2.9789) Prec@1 35.547 (35.636) Prec@5 60.547 (61.297)
Epoch: [13][4760/5005] Time 0.205 (0.224) Data 0.048 (0.078) Loss 3.2574 (2.9788) Prec@1 30.859 (35.640) Prec@5 55.469 (61.298)
Epoch: [13][4770/5005] Time 0.206 (0.224) Data 0.041 (0.078) Loss 2.8549 (2.9787) Prec@1 39.453 (35.642) Prec@5 62.500 (61.302)
Epoch: [13][4780/5005] Time 0.201 (0.224) Data 0.117 (0.078) Loss 2.9552 (2.9786) Prec@1 36.328 (35.645) Prec@5 62.500 (61.304)
Epoch: [13][4790/5005] Time 0.206 (0.224) Data 0.092 (0.078) Loss 3.1554 (2.9786) Prec@1 33.984 (35.647) Prec@5 58.984 (61.304)
Epoch: [13][4800/5005] Time 0.206 (0.224) Data 0.052 (0.078) Loss 3.2091 (2.9786) Prec@1 31.641 (35.645) Prec@5 58.594 (61.304)
Epoch: [13][4810/5005] Time 0.203 (0.224) Data 0.044 (0.078) Loss 3.0478 (2.9786) Prec@1 35.547 (35.643) Prec@5 58.984 (61.304)
Epoch: [13][4820/5005] Time 0.302 (0.224) Data 0.219 (0.078) Loss 3.1416 (2.9784) Prec@1 35.156 (35.644) Prec@5 58.594 (61.308)
Epoch: [13][4830/5005] Time 0.205 (0.224) Data 0.046 (0.078) Loss 2.9810 (2.9782) Prec@1 38.672 (35.649) Prec@5 61.719 (61.312)
Epoch: [13][4840/5005] Time 0.357 (0.224) Data 0.275 (0.078) Loss 2.7936 (2.9784) Prec@1 33.594 (35.644) Prec@5 66.016 (61.311)
Epoch: [13][4850/5005] Time 0.206 (0.224) Data 0.044 (0.078) Loss 3.0957 (2.9786) Prec@1 33.203 (35.641) Prec@5 56.641 (61.307)
Epoch: [13][4860/5005] Time 0.202 (0.224) Data 0.086 (0.078) Loss 2.9262 (2.9785) Prec@1 35.156 (35.642) Prec@5 63.672 (61.309)
Epoch: [13][4870/5005] Time 0.200 (0.224) Data 0.045 (0.078) Loss 2.9388 (2.9785) Prec@1 37.500 (35.643) Prec@5 60.547 (61.305)
Epoch: [13][4880/5005] Time 0.198 (0.224) Data 0.050 (0.078) Loss 2.8426 (2.9785) Prec@1 37.109 (35.646) Prec@5 62.500 (61.306)
Epoch: [13][4890/5005] Time 0.207 (0.224) Data 0.040 (0.078) Loss 2.9523 (2.9785) Prec@1 36.719 (35.645) Prec@5 57.812 (61.306)
Epoch: [13][4900/5005] Time 0.198 (0.224) Data 0.051 (0.078) Loss 2.8451 (2.9784) Prec@1 36.328 (35.646) Prec@5 63.672 (61.308)
Epoch: [13][4910/5005] Time 0.205 (0.224) Data 0.067 (0.078) Loss 3.0224 (2.9782) Prec@1 35.547 (35.647) Prec@5 62.109 (61.313)
Epoch: [13][4920/5005] Time 0.206 (0.224) Data 0.049 (0.078) Loss 2.8702 (2.9781) Prec@1 37.109 (35.646) Prec@5 59.375 (61.312)
Epoch: [13][4930/5005] Time 0.195 (0.224) Data 0.043 (0.078) Loss 3.0835 (2.9780) Prec@1 32.812 (35.645) Prec@5 60.938 (61.313)
Epoch: [13][4940/5005] Time 0.203 (0.224) Data 0.040 (0.078) Loss 3.0451 (2.9782) Prec@1 36.328 (35.645) Prec@5 57.812 (61.312)
Epoch: [13][4950/5005] Time 0.191 (0.224) Data 0.087 (0.078) Loss 2.5861 (2.9782) Prec@1 41.797 (35.643) Prec@5 71.484 (61.313)
Epoch: [13][4960/5005] Time 0.209 (0.224) Data 0.044 (0.078) Loss 3.2199 (2.9782) Prec@1 32.031 (35.644) Prec@5 60.938 (61.313)
Epoch: [13][4970/5005] Time 0.196 (0.224) Data 0.050 (0.078) Loss 3.0820 (2.9782) Prec@1 35.156 (35.644) Prec@5 59.375 (61.315)
Epoch: [13][4980/5005] Time 0.206 (0.224) Data 0.054 (0.078) Loss 3.1354 (2.9780) Prec@1 35.547 (35.646) Prec@5 60.547 (61.319)
Epoch: [13][4990/5005] Time 0.202 (0.224) Data 0.033 (0.078) Loss 3.1403 (2.9780) Prec@1 33.203 (35.648) Prec@5 56.250 (61.320)
Epoch: [13][5000/5005] Time 0.209 (0.224) Data 0.033 (0.078) Loss 2.9617 (2.9780) Prec@1 32.812 (35.649) Prec@5 62.109 (61.319)
Test: [0/196] Time 2.420 (2.420) Loss 2.8596 (2.8596) Prec@1 38.281 (38.281) Prec@5 61.719 (61.719)
Test: [10/196] Time 0.044 (0.418) Loss 2.9389 (2.9929) Prec@1 40.625 (35.582) Prec@5 62.500 (61.080)
Test: [20/196] Time 0.094 (0.306) Loss 2.9009 (3.0069) Prec@1 35.938 (34.914) Prec@5 61.719 (61.421)
Test: [30/196] Time 0.042 (0.267) Loss 2.9991 (3.0229) Prec@1 34.766 (34.640) Prec@5 61.719 (60.748)
Test: [40/196] Time 1.250 (0.281) Loss 2.7884 (3.0281) Prec@1 39.844 (35.032) Prec@5 63.672 (60.452)
Test: [50/196] Time 0.046 (0.266) Loss 3.0982 (3.0282) Prec@1 35.938 (35.095) Prec@5 61.719 (60.455)
Test: [60/196] Time 0.042 (0.252) Loss 2.7732 (3.0157) Prec@1 41.797 (35.239) Prec@5 64.062 (60.681)
Test: [70/196] Time 0.436 (0.248) Loss 2.9466 (3.0088) Prec@1 33.594 (35.294) Prec@5 64.453 (60.938)
Test: [80/196] Time 0.716 (0.247) Loss 2.8378 (3.0103) Prec@1 42.969 (35.441) Prec@5 65.625 (60.918)
Test: [90/196] Time 0.301 (0.246) Loss 3.0205 (3.0126) Prec@1 35.547 (35.392) Prec@5 59.375 (60.783)
Test: [100/196] Time 0.043 (0.242) Loss 3.0266 (3.0109) Prec@1 35.547 (35.377) Prec@5 60.156 (60.907)
Test: [110/196] Time 0.044 (0.237) Loss 3.2476 (3.0113) Prec@1 33.984 (35.420) Prec@5 56.250 (60.997)
Test: [120/196] Time 0.129 (0.234) Loss 2.8750 (3.0110) Prec@1 33.984 (35.360) Prec@5 64.453 (60.992)
Test: [130/196] Time 0.647 (0.239) Loss 2.6477 (3.0074) Prec@1 44.922 (35.463) Prec@5 66.016 (61.051)
Test: [140/196] Time 0.042 (0.236) Loss 2.8801 (3.0081) Prec@1 37.891 (35.428) Prec@5 64.453 (61.040)
Test: [150/196] Time 0.042 (0.235) Loss 2.6983 (3.0080) Prec@1 42.188 (35.438) Prec@5 66.797 (61.064)
Test: [160/196] Time 0.229 (0.233) Loss 2.8860 (3.0051) Prec@1 36.328 (35.477) Prec@5 63.281 (61.095)
Test: [170/196] Time 0.296 (0.232) Loss 2.8395 (3.0071) Prec@1 38.281 (35.508) Prec@5 64.453 (61.045)
Test: [180/196] Time 0.398 (0.236) Loss 3.1629 (3.0106) Prec@1 33.594 (35.454) Prec@5 60.156 (60.946)
Test: [190/196] Time 0.235 (0.234) Loss 3.2765 (3.0130) Prec@1 31.250 (35.449) Prec@5 57.812 (60.890)
* Prec@1 35.442 Prec@5 60.934
Learning rate: 0.001
Epoch: [14][0/5005] Time 1.973 (1.973) Data 1.862 (1.862) Loss 2.9170 (2.9170) Prec@1 41.016 (41.016) Prec@5 63.281 (63.281)
Epoch: [14][10/5005] Time 0.194 (0.362) Data 0.043 (0.220) Loss 2.8652 (2.9616) Prec@1 39.062 (35.369) Prec@5 65.625 (61.648)
Epoch: [14][20/5005] Time 0.199 (0.286) Data 0.058 (0.137) Loss 3.0986 (2.9844) Prec@1 32.422 (34.766) Prec@5 62.500 (61.328)
Epoch: [14][30/5005] Time 0.197 (0.258) Data 0.041 (0.107) Loss 2.8723 (2.9407) Prec@1 37.891 (35.597) Prec@5 64.453 (62.046)
Epoch: [14][40/5005] Time 0.198 (0.244) Data 0.039 (0.091) Loss 2.9443 (2.9478) Prec@1 35.547 (35.480) Prec@5 62.109 (61.976)
Epoch: [14][50/5005] Time 0.197 (0.235) Data 0.046 (0.082) Loss 2.8415 (2.9512) Prec@1 34.766 (35.409) Prec@5 63.672 (61.864)
Epoch: [14][60/5005] Time 0.194 (0.230) Data 0.047 (0.076) Loss 2.8997 (2.9499) Prec@1 34.375 (35.572) Prec@5 66.406 (62.013)
Epoch: [14][70/5005] Time 0.194 (0.226) Data 0.049 (0.072) Loss 2.9311 (2.9652) Prec@1 34.375 (35.299) Prec@5 61.328 (61.697)
Epoch: [14][80/5005] Time 0.192 (0.222) Data 0.053 (0.069) Loss 2.8457 (2.9602) Prec@1 39.453 (35.354) Prec@5 66.406 (61.642)
Epoch: [14][90/5005] Time 0.190 (0.220) Data 0.049 (0.067) Loss 3.0026 (2.9580) Prec@1 36.328 (35.573) Prec@5 60.547 (61.646)
Epoch: [14][100/5005] Time 0.194 (0.218) Data 0.045 (0.065) Loss 2.7900 (2.9591) Prec@1 35.547 (35.555) Prec@5 66.797 (61.676)
Epoch: [14][110/5005] Time 0.206 (0.217) Data 0.046 (0.063) Loss 3.0904 (2.9603) Prec@1 35.547 (35.621) Prec@5 58.594 (61.743)
Epoch: [14][120/5005] Time 0.196 (0.215) Data 0.048 (0.062) Loss 3.0876 (2.9644) Prec@1 27.734 (35.595) Prec@5 60.547 (61.625)
Epoch: [14][130/5005] Time 0.211 (0.214) Data 0.047 (0.061) Loss 2.9317 (2.9609) Prec@1 38.672 (35.642) Prec@5 62.109 (61.704)
Epoch: [14][140/5005] Time 0.205 (0.216) Data 0.042 (0.064) Loss 3.0654 (2.9605) Prec@1 32.422 (35.583) Prec@5 62.109 (61.774)
Epoch: [14][150/5005] Time 0.399 (0.216) Data 0.315 (0.066) Loss 3.1554 (2.9616) Prec@1 33.984 (35.555) Prec@5 58.594 (61.701)
Epoch: [14][160/5005] Time 0.190 (0.217) Data 0.061 (0.069) Loss 3.0404 (2.9636) Prec@1 33.203 (35.503) Prec@5 59.375 (61.673)
Epoch: [14][170/5005] Time 0.201 (0.221) Data 0.051 (0.073) Loss 3.0108 (2.9652) Prec@1 37.891 (35.531) Prec@5 60.938 (61.639)
Epoch: [14][180/5005] Time 0.243 (0.220) Data 0.146 (0.073) Loss 3.0416 (2.9653) Prec@1 34.766 (35.612) Prec@5 56.641 (61.609)
Epoch: [14][190/5005] Time 0.229 (0.222) Data 0.047 (0.074) Loss 3.0953 (2.9703) Prec@1 32.031 (35.539) Prec@5 58.594 (61.502)
Epoch: [14][200/5005] Time 0.231 (0.223) Data 0.047 (0.075) Loss 3.2502 (2.9718) Prec@1 33.594 (35.568) Prec@5 53.906 (61.451)
Epoch: [14][210/5005] Time 0.205 (0.223) Data 0.099 (0.075) Loss 2.7115 (2.9709) Prec@1 40.625 (35.547) Prec@5 66.016 (61.434)
Epoch: [14][220/5005] Time 0.218 (0.224) Data 0.048 (0.076) Loss 3.0143 (2.9719) Prec@1 36.719 (35.563) Prec@5 62.891 (61.422)
Epoch: [14][230/5005] Time 0.217 (0.224) Data 0.045 (0.076) Loss 2.9991 (2.9715) Prec@1 34.375 (35.562) Prec@5 61.719 (61.455)
Epoch: [14][240/5005] Time 0.204 (0.226) Data 0.098 (0.078) Loss 2.8708 (2.9713) Prec@1 37.500 (35.545) Prec@5 63.281 (61.448)
Epoch: [14][250/5005] Time 0.199 (0.226) Data 0.048 (0.078) Loss 3.1949 (2.9701) Prec@1 33.984 (35.583) Prec@5 57.422 (61.468)
Epoch: [14][260/5005] Time 0.202 (0.226) Data 0.066 (0.079) Loss 2.9260 (2.9697) Prec@1 33.984 (35.538) Prec@5 60.547 (61.481)
Epoch: [14][270/5005] Time 0.215 (0.226) Data 0.045 (0.079) Loss 3.0057 (2.9684) Prec@1 36.328 (35.576) Prec@5 61.328 (61.478)
Epoch: [14][280/5005] Time 0.209 (0.227) Data 0.121 (0.081) Loss 3.3216 (2.9703) Prec@1 31.641 (35.561) Prec@5 51.953 (61.452)
Epoch: [14][290/5005] Time 0.215 (0.228) Data 0.041 (0.082) Loss 2.7426 (2.9725) Prec@1 38.672 (35.524) Prec@5 62.891 (61.394)
Epoch: [14][300/5005] Time 0.207 (0.229) Data 0.044 (0.082) Loss 2.9230 (2.9729) Prec@1 33.984 (35.488) Prec@5 64.453 (61.412)
Epoch: [14][310/5005] Time 0.220 (0.229) Data 0.040 (0.082) Loss 2.8437 (2.9689) Prec@1 33.984 (35.563) Prec@5 65.234 (61.506)
Epoch: [14][320/5005] Time 0.374 (0.229) Data 0.273 (0.083) Loss 3.1432 (2.9685) Prec@1 33.203 (35.605) Prec@5 59.766 (61.533)
Epoch: [14][330/5005] Time 0.212 (0.230) Data 0.046 (0.084) Loss 2.7188 (2.9665) Prec@1 37.500 (35.648) Prec@5 66.406 (61.567)
Epoch: [14][340/5005] Time 0.215 (0.230) Data 0.045 (0.084) Loss 3.0524 (2.9701) Prec@1 37.500 (35.606) Prec@5 63.281 (61.518)
Epoch: [14][350/5005] Time 0.207 (0.230) Data 0.061 (0.084) Loss 3.1252 (2.9693) Prec@1 33.203 (35.621) Prec@5 60.547 (61.536)
Epoch: [14][360/5005] Time 0.212 (0.230) Data 0.042 (0.083) Loss 3.1479 (2.9685) Prec@1 34.766 (35.638) Prec@5 58.984 (61.524)
Epoch: [14][370/5005] Time 0.205 (0.229) Data 0.047 (0.082) Loss 2.9632 (2.9665) Prec@1 36.328 (35.668) Prec@5 60.156 (61.552)
Epoch: [14][380/5005] Time 0.213 (0.229) Data 0.042 (0.081) Loss 3.1139 (2.9682) Prec@1 35.156 (35.649) Prec@5 60.938 (61.503)
Epoch: [14][390/5005] Time 0.223 (0.229) Data 0.047 (0.080) Loss 2.9688 (2.9668) Prec@1 36.719 (35.689) Prec@5 61.328 (61.536)
Epoch: [14][400/5005] Time 0.219 (0.229) Data 0.043 (0.080) Loss 2.9650 (2.9657) Prec@1 37.109 (35.691) Prec@5 63.281 (61.550)
Epoch: [14][410/5005] Time 0.213 (0.228) Data 0.041 (0.079) Loss 2.7588 (2.9650) Prec@1 37.500 (35.693) Prec@5 66.797 (61.566)
Epoch: [14][420/5005] Time 0.211 (0.228) Data 0.043 (0.078) Loss 2.8949 (2.9645) Prec@1 36.719 (35.711) Prec@5 61.719 (61.593)
Epoch: [14][430/5005] Time 0.215 (0.228) Data 0.040 (0.077) Loss 2.9519 (2.9639) Prec@1 38.672 (35.705) Prec@5 65.625 (61.600)
Epoch: [14][440/5005] Time 0.208 (0.228) Data 0.047 (0.076) Loss 2.9616 (2.9632) Prec@1 37.109 (35.726) Prec@5 62.109 (61.612)
Epoch: [14][450/5005] Time 0.219 (0.227) Data 0.046 (0.076) Loss 2.8196 (2.9642) Prec@1 32.422 (35.710) Prec@5 60.156 (61.584)
Epoch: [14][460/5005] Time 0.205 (0.227) Data 0.065 (0.075) Loss 3.1299 (2.9649) Prec@1 32.031 (35.682) Prec@5 61.719 (61.586)
Epoch: [14][470/5005] Time 0.218 (0.227) Data 0.041 (0.075) Loss 3.0055 (2.9667) Prec@1 33.594 (35.661) Prec@5 59.766 (61.552)
Epoch: [14][480/5005] Time 0.211 (0.226) Data 0.046 (0.074) Loss 2.9160 (2.9658) Prec@1 38.281 (35.680) Prec@5 62.500 (61.578)
Epoch: [14][490/5005] Time 0.219 (0.226) Data 0.048 (0.073) Loss 2.8951 (2.9664) Prec@1 38.672 (35.655) Prec@5 61.719 (61.567)
Epoch: [14][500/5005] Time 0.206 (0.226) Data 0.049 (0.073) Loss 3.0548 (2.9685) Prec@1 33.594 (35.647) Prec@5 58.984 (61.546)
Epoch: [14][510/5005] Time 0.213 (0.226) Data 0.043 (0.073) Loss 3.3034 (2.9697) Prec@1 25.391 (35.636) Prec@5 55.078 (61.528)
Epoch: [14][520/5005] Time 0.208 (0.225) Data 0.047 (0.072) Loss 2.9653 (2.9692) Prec@1 33.203 (35.630) Prec@5 62.500 (61.546)
Epoch: [14][530/5005] Time 0.215 (0.225) Data 0.042 (0.072) Loss 2.8938 (2.9687) Prec@1 37.891 (35.624) Prec@5 62.500 (61.540)
Epoch: [14][540/5005] Time 0.217 (0.225) Data 0.044 (0.071) Loss 3.1699 (2.9700) Prec@1 34.766 (35.605) Prec@5 60.938 (61.524)
Epoch: [14][550/5005] Time 0.216 (0.225) Data 0.041 (0.071) Loss 2.9130 (2.9694) Prec@1 35.156 (35.623) Prec@5 61.719 (61.523)
Epoch: [14][560/5005] Time 0.216 (0.225) Data 0.045 (0.070) Loss 3.1335 (2.9699) Prec@1 30.859 (35.628) Prec@5 57.812 (61.520)
Epoch: [14][570/5005] Time 0.219 (0.224) Data 0.041 (0.070) Loss 3.1699 (2.9714) Prec@1 31.641 (35.594) Prec@5 57.812 (61.494)
Epoch: [14][580/5005] Time 0.216 (0.224) Data 0.048 (0.069) Loss 2.9079 (2.9706) Prec@1 37.109 (35.603) Prec@5 62.500 (61.508)
Epoch: [14][590/5005] Time 0.211 (0.224) Data 0.041 (0.069) Loss 3.1446 (2.9710) Prec@1 32.422 (35.587) Prec@5 58.984 (61.509)
Epoch: [14][600/5005] Time 0.214 (0.224) Data 0.041 (0.069) Loss 2.9875 (2.9723) Prec@1 36.719 (35.578) Prec@5 60.547 (61.495)
Epoch: [14][610/5005] Time 0.218 (0.224) Data 0.040 (0.068) Loss 2.8081 (2.9723) Prec@1 36.719 (35.583) Prec@5 64.844 (61.496)
Epoch: [14][620/5005] Time 0.208 (0.224) Data 0.041 (0.068) Loss 2.9672 (2.9719) Prec@1 37.109 (35.605) Prec@5 62.500 (61.508)
Epoch: [14][630/5005] Time 0.219 (0.223) Data 0.044 (0.067) Loss 3.1886 (2.9716) Prec@1 32.031 (35.611) Prec@5 59.766 (61.519)
Epoch: [14][640/5005] Time 0.218 (0.223) Data 0.040 (0.067) Loss 2.9268 (2.9718) Prec@1 35.156 (35.617) Prec@5 60.547 (61.516)
Epoch: [14][650/5005] Time 0.212 (0.223) Data 0.044 (0.067) Loss 3.0853 (2.9730) Prec@1 32.031 (35.588) Prec@5 61.328 (61.494)
Epoch: [14][660/5005] Time 0.214 (0.223) Data 0.043 (0.066) Loss 3.0898 (2.9727) Prec@1 33.203 (35.591) Prec@5 60.938 (61.498)
Epoch: [14][670/5005] Time 0.217 (0.223) Data 0.042 (0.066) Loss 3.1792 (2.9724) Prec@1 31.641 (35.603) Prec@5 56.250 (61.510)
Epoch: [14][680/5005] Time 0.217 (0.223) Data 0.043 (0.066) Loss 2.8822 (2.9721) Prec@1 38.281 (35.599) Prec@5 64.453 (61.528)
Epoch: [14][690/5005] Time 0.214 (0.223) Data 0.044 (0.065) Loss 2.8642 (2.9719) Prec@1 32.422 (35.601) Prec@5 66.016 (61.537)
Epoch: [14][700/5005] Time 0.217 (0.223) Data 0.042 (0.065) Loss 3.0057 (2.9718) Prec@1 33.984 (35.583) Prec@5 59.375 (61.529)
Epoch: [14][710/5005] Time 0.221 (0.223) Data 0.042 (0.065) Loss 2.8933 (2.9721) Prec@1 33.203 (35.587) Prec@5 61.328 (61.519)
Epoch: [14][720/5005] Time 0.221 (0.222) Data 0.042 (0.064) Loss 2.9741 (2.9714) Prec@1 34.375 (35.591) Prec@5 61.328 (61.526)
Epoch: [14][730/5005] Time 0.219 (0.222) Data 0.042 (0.064) Loss 3.0143 (2.9714) Prec@1 35.547 (35.601) Prec@5 62.891 (61.524)
Epoch: [14][740/5005] Time 0.211 (0.222) Data 0.043 (0.064) Loss 2.9657 (2.9714) Prec@1 37.109 (35.624) Prec@5 61.328 (61.506)
Epoch: [14][750/5005] Time 0.216 (0.222) Data 0.048 (0.064) Loss 2.7894 (2.9714) Prec@1 38.672 (35.620) Prec@5 65.625 (61.504)
Epoch: [14][760/5005] Time 0.213 (0.222) Data 0.048 (0.063) Loss 3.0086 (2.9717) Prec@1 34.766 (35.609) Prec@5 61.719 (61.504)
Epoch: [14][770/5005] Time 0.213 (0.222) Data 0.056 (0.063) Loss 3.0545 (2.9706) Prec@1 35.547 (35.616) Prec@5 57.422 (61.527)
Epoch: [14][780/5005] Time 0.213 (0.222) Data 0.039 (0.063) Loss 2.9127 (2.9705) Prec@1 34.766 (35.619) Prec@5 63.281 (61.524)
Epoch: [14][790/5005] Time 0.206 (0.222) Data 0.059 (0.063) Loss 2.8102 (2.9701) Prec@1 37.891 (35.629) Prec@5 64.453 (61.529)
Epoch: [14][800/5005] Time 0.221 (0.221) Data 0.051 (0.063) Loss 2.9647 (2.9699) Prec@1 32.031 (35.621) Prec@5 60.156 (61.527)
Epoch: [14][810/5005] Time 0.203 (0.221) Data 0.048 (0.063) Loss 3.0003 (2.9698) Prec@1 32.812 (35.611) Prec@5 61.328 (61.527)
Epoch: [14][820/5005] Time 0.203 (0.221) Data 0.048 (0.063) Loss 3.1173 (2.9704) Prec@1 35.156 (35.613) Prec@5 57.812 (61.517)
Epoch: [14][830/5005] Time 0.207 (0.222) Data 0.051 (0.063) Loss 2.9545 (2.9703) Prec@1 36.719 (35.621) Prec@5 60.156 (61.517)
Epoch: [14][840/5005] Time 0.237 (0.222) Data 0.148 (0.064) Loss 2.7871 (2.9705) Prec@1 37.109 (35.616) Prec@5 66.016 (61.522)
Epoch: [14][850/5005] Time 0.481 (0.222) Data 0.396 (0.065) Loss 3.1017 (2.9699) Prec@1 31.641 (35.633) Prec@5 62.500 (61.539)
Epoch: [14][860/5005] Time 0.210 (0.222) Data 0.044 (0.064) Loss 3.0031 (2.9700) Prec@1 35.547 (35.649) Prec@5 61.328 (61.516)
Epoch: [14][870/5005] Time 0.203 (0.222) Data 0.054 (0.065) Loss 2.9682 (2.9686) Prec@1 33.984 (35.671) Prec@5 58.594 (61.534)
Epoch: [14][880/5005] Time 0.386 (0.222) Data 0.305 (0.065) Loss 2.9567 (2.9689) Prec@1 36.328 (35.671) Prec@5 58.203 (61.523)
Epoch: [14][890/5005] Time 0.205 (0.222) Data 0.042 (0.065) Loss 3.3492 (2.9689) Prec@1 27.734 (35.674) Prec@5 52.344 (61.511)
Epoch: [14][900/5005] Time 0.207 (0.222) Data 0.044 (0.065) Loss 3.0142 (2.9686) Prec@1 34.766 (35.679) Prec@5 61.328 (61.518)
Epoch: [14][910/5005] Time 0.207 (0.222) Data 0.043 (0.065) Loss 2.8879 (2.9686) Prec@1 33.594 (35.678) Prec@5 62.500 (61.519)
Epoch: [14][920/5005] Time 0.273 (0.222) Data 0.184 (0.065) Loss 2.8841 (2.9676) Prec@1 39.453 (35.688) Prec@5 65.234 (61.534)
Epoch: [14][930/5005] Time 0.499 (0.222) Data 0.407 (0.065) Loss 2.9116 (2.9671) Prec@1 37.891 (35.686) Prec@5 58.594 (61.548)
Epoch: [14][940/5005] Time 0.194 (0.223) Data 0.046 (0.067) Loss 2.8558 (2.9672) Prec@1 37.891 (35.683) Prec@5 61.719 (61.554)
Epoch: [14][950/5005] Time 0.199 (0.223) Data 0.045 (0.067) Loss 3.2337 (2.9681) Prec@1 30.078 (35.686) Prec@5 60.547 (61.536)
Epoch: [14][960/5005] Time 0.199 (0.224) Data 0.056 (0.068) Loss 3.2105 (2.9684) Prec@1 31.641 (35.690) Prec@5 55.078 (61.526)
Epoch: [14][970/5005] Time 0.321 (0.224) Data 0.236 (0.068) Loss 2.5882 (2.9681) Prec@1 42.969 (35.698) Prec@5 66.016 (61.518)
Epoch: [14][980/5005] Time 0.202 (0.224) Data 0.077 (0.069) Loss 2.8271 (2.9675) Prec@1 37.500 (35.703) Prec@5 63.672 (61.527)
Epoch: [14][990/5005] Time 0.200 (0.224) Data 0.043 (0.069) Loss 3.0329 (2.9677) Prec@1 35.156 (35.701) Prec@5 58.984 (61.527)
Epoch: [14][1000/5005] Time 0.211 (0.224) Data 0.048 (0.068) Loss 2.8232 (2.9671) Prec@1 35.156 (35.709) Prec@5 67.188 (61.545)
Epoch: [14][1010/5005] Time 0.207 (0.224) Data 0.043 (0.068) Loss 2.9293 (2.9669) Prec@1 35.156 (35.713) Prec@5 64.062 (61.550)
Epoch: [14][1020/5005] Time 0.210 (0.224) Data 0.046 (0.068) Loss 2.7899 (2.9671) Prec@1 39.062 (35.721) Prec@5 68.359 (61.555)
Epoch: [14][1030/5005] Time 0.213 (0.224) Data 0.046 (0.068) Loss 2.9718 (2.9668) Prec@1 36.719 (35.726) Prec@5 64.453 (61.567)
Epoch: [14][1040/5005] Time 0.218 (0.224) Data 0.046 (0.068) Loss 3.0675 (2.9670) Prec@1 34.375 (35.719) Prec@5 59.375 (61.563)
Epoch: [14][1050/5005] Time 0.220 (0.223) Data 0.041 (0.067) Loss 3.1129 (2.9679) Prec@1 35.156 (35.689) Prec@5 60.156 (61.547)
Epoch: [14][1060/5005] Time 0.204 (0.223) Data 0.043 (0.067) Loss 3.0912 (2.9680) Prec@1 33.984 (35.683) Prec@5 59.766 (61.551)
Epoch: [14][1070/5005] Time 0.207 (0.223) Data 0.045 (0.067) Loss 2.8611 (2.9679) Prec@1 37.109 (35.683) Prec@5 62.500 (61.553)
Epoch: [14][1080/5005] Time 0.212 (0.223) Data 0.060 (0.067) Loss 3.0136 (2.9680) Prec@1 32.812 (35.682) Prec@5 58.984 (61.550)
Epoch: [14][1090/5005] Time 0.214 (0.223) Data 0.042 (0.067) Loss 2.8431 (2.9676) Prec@1 37.891 (35.681) Prec@5 61.719 (61.558)
Epoch: [14][1100/5005] Time 0.207 (0.223) Data 0.042 (0.066) Loss 2.7672 (2.9668) Prec@1 39.453 (35.699) Prec@5 65.625 (61.570)
Epoch: [14][1110/5005] Time 0.209 (0.223) Data 0.040 (0.066) Loss 3.1419 (2.9666) Prec@1 34.766 (35.706) Prec@5 58.203 (61.571)
Epoch: [14][1120/5005] Time 0.203 (0.223) Data 0.041 (0.066) Loss 2.8158 (2.9658) Prec@1 38.281 (35.719) Prec@5 61.328 (61.574)
Epoch: [14][1130/5005] Time 0.208 (0.223) Data 0.048 (0.066) Loss 3.0288 (2.9663) Prec@1 35.938 (35.721) Prec@5 60.938 (61.564)
Epoch: [14][1140/5005] Time 0.211 (0.222) Data 0.043 (0.066) Loss 2.9993 (2.9658) Prec@1 35.547 (35.719) Prec@5 60.547 (61.572)
Epoch: [14][1150/5005] Time 0.211 (0.222) Data 0.045 (0.065) Loss 2.9302 (2.9650) Prec@1 36.719 (35.735) Prec@5 59.375 (61.584)
Epoch: [14][1160/5005] Time 0.208 (0.222) Data 0.040 (0.065) Loss 2.9479 (2.9646) Prec@1 35.156 (35.744) Prec@5 63.672 (61.587)
Epoch: [14][1170/5005] Time 0.213 (0.222) Data 0.044 (0.065) Loss 2.9678 (2.9646) Prec@1 32.422 (35.744) Prec@5 60.156 (61.590)
Epoch: [14][1180/5005] Time 0.205 (0.222) Data 0.043 (0.065) Loss 3.0653 (2.9643) Prec@1 32.812 (35.741) Prec@5 59.766 (61.590)
Epoch: [14][1190/5005] Time 0.216 (0.222) Data 0.044 (0.065) Loss 2.7194 (2.9640) Prec@1 39.453 (35.744) Prec@5 63.281 (61.590)
Epoch: [14][1200/5005] Time 0.216 (0.222) Data 0.045 (0.065) Loss 3.0931 (2.9641) Prec@1 33.984 (35.749) Prec@5 57.812 (61.593)
Epoch: [14][1210/5005] Time 0.203 (0.222) Data 0.038 (0.065) Loss 3.0932 (2.9648) Prec@1 31.250 (35.732) Prec@5 59.375 (61.586)
Epoch: [14][1220/5005] Time 0.203 (0.222) Data 0.090 (0.065) Loss 2.8743 (2.9650) Prec@1 37.109 (35.732) Prec@5 60.547 (61.586)
Epoch: [14][1230/5005] Time 0.204 (0.222) Data 0.085 (0.065) Loss 2.8957 (2.9650) Prec@1 38.281 (35.726) Prec@5 65.234 (61.581)
Epoch: [14][1240/5005] Time 0.679 (0.222) Data 0.592 (0.065) Loss 2.8966 (2.9648) Prec@1 38.672 (35.732) Prec@5 62.891 (61.585)
Epoch: [14][1250/5005] Time 0.211 (0.222) Data 0.047 (0.065) Loss 3.2306 (2.9654) Prec@1 34.766 (35.730) Prec@5 55.859 (61.574)
Epoch: [14][1260/5005] Time 0.208 (0.222) Data 0.045 (0.065) Loss 2.5924 (2.9646) Prec@1 44.922 (35.748) Prec@5 65.625 (61.590)
Epoch: [14][1270/5005] Time 0.202 (0.222) Data 0.043 (0.065) Loss 2.9440 (2.9647) Prec@1 38.281 (35.748) Prec@5 60.156 (61.572)
Epoch: [14][1280/5005] Time 0.288 (0.222) Data 0.201 (0.065) Loss 3.0093 (2.9653) Prec@1 37.891 (35.745) Prec@5 58.594 (61.562)
Epoch: [14][1290/5005] Time 0.200 (0.222) Data 0.087 (0.066) Loss 2.7722 (2.9650) Prec@1 37.891 (35.751) Prec@5 64.844 (61.563)
Epoch: [14][1300/5005] Time 0.199 (0.222) Data 0.048 (0.066) Loss 2.8954 (2.9648) Prec@1 40.625 (35.759) Prec@5 61.328 (61.561)
Epoch: [14][1310/5005] Time 0.209 (0.222) Data 0.048 (0.066) Loss 2.9287 (2.9645) Prec@1 33.594 (35.768) Prec@5 66.016 (61.578)
Epoch: [14][1320/5005] Time 0.206 (0.222) Data 0.045 (0.066) Loss 3.0508 (2.9643) Prec@1 34.375 (35.777) Prec@5 62.891 (61.589)
Epoch: [14][1330/5005] Time 0.372 (0.222) Data 0.282 (0.066) Loss 3.0655 (2.9649) Prec@1 30.859 (35.768) Prec@5 58.984 (61.578)
Epoch: [14][1340/5005] Time 0.205 (0.222) Data 0.043 (0.066) Loss 2.8745 (2.9647) Prec@1 38.281 (35.781) Prec@5 64.062 (61.581)
Epoch: [14][1350/5005] Time 0.199 (0.222) Data 0.044 (0.066) Loss 3.3013 (2.9650) Prec@1 30.859 (35.776) Prec@5 59.766 (61.578)
Epoch: [14][1360/5005] Time 0.203 (0.222) Data 0.045 (0.066) Loss 2.7939 (2.9647) Prec@1 39.844 (35.783) Prec@5 64.844 (61.582)
Epoch: [14][1370/5005] Time 0.211 (0.222) Data 0.046 (0.066) Loss 3.0077 (2.9642) Prec@1 36.328 (35.795) Prec@5 60.547 (61.593)
Epoch: [14][1380/5005] Time 0.206 (0.222) Data 0.042 (0.066) Loss 3.0999 (2.9641) Prec@1 35.547 (35.800) Prec@5 60.156 (61.593)
Epoch: [14][1390/5005] Time 0.209 (0.222) Data 0.050 (0.066) Loss 2.9686 (2.9640) Prec@1 37.109 (35.808) Prec@5 62.891 (61.590)
Epoch: [14][1400/5005] Time 0.204 (0.222) Data 0.041 (0.066) Loss 2.9038 (2.9635) Prec@1 32.422 (35.811) Prec@5 61.719 (61.601)
Epoch: [14][1410/5005] Time 0.237 (0.222) Data 0.155 (0.066) Loss 2.9177 (2.9630) Prec@1 36.719 (35.815) Prec@5 59.766 (61.610)
Epoch: [14][1420/5005] Time 0.215 (0.222) Data 0.047 (0.067) Loss 3.1449 (2.9631) Prec@1 35.547 (35.810) Prec@5 60.938 (61.606)
Epoch: [14][1430/5005] Time 0.206 (0.222) Data 0.053 (0.067) Loss 2.6367 (2.9628) Prec@1 39.453 (35.810) Prec@5 63.672 (61.609)
Epoch: [14][1440/5005] Time 0.204 (0.222) Data 0.044 (0.067) Loss 2.7907 (2.9629) Prec@1 38.672 (35.814) Prec@5 65.234 (61.609)
Epoch: [14][1450/5005] Time 0.215 (0.222) Data 0.047 (0.067) Loss 2.8799 (2.9629) Prec@1 39.453 (35.814) Prec@5 62.500 (61.602)
Epoch: [14][1460/5005] Time 0.201 (0.222) Data 0.057 (0.067) Loss 3.0479 (2.9629) Prec@1 35.156 (35.819) Prec@5 58.984 (61.593)
Epoch: [14][1470/5005] Time 0.198 (0.222) Data 0.049 (0.067) Loss 3.0486 (2.9632) Prec@1 37.109 (35.823) Prec@5 60.938 (61.585)
Epoch: [14][1480/5005] Time 0.204 (0.222) Data 0.046 (0.067) Loss 2.7098 (2.9633) Prec@1 41.406 (35.823) Prec@5 66.406 (61.586)
Epoch: [14][1490/5005] Time 0.207 (0.222) Data 0.044 (0.067) Loss 3.1634 (2.9633) Prec@1 33.984 (35.822) Prec@5 60.938 (61.591)
Epoch: [14][1500/5005] Time 0.235 (0.222) Data 0.146 (0.067) Loss 2.9508 (2.9632) Prec@1 42.969 (35.824) Prec@5 59.766 (61.590)
Epoch: [14][1510/5005] Time 0.287 (0.222) Data 0.207 (0.067) Loss 2.7550 (2.9628) Prec@1 38.672 (35.828) Prec@5 66.797 (61.595)
Epoch: [14][1520/5005] Time 0.214 (0.222) Data 0.089 (0.067) Loss 2.8821 (2.9628) Prec@1 36.328 (35.836) Prec@5 65.625 (61.593)
Epoch: [14][1530/5005] Time 0.201 (0.222) Data 0.086 (0.067) Loss 3.2162 (2.9629) Prec@1 32.812 (35.831) Prec@5 58.984 (61.589)
Epoch: [14][1540/5005] Time 0.197 (0.222) Data 0.047 (0.068) Loss 3.1314 (2.9632) Prec@1 34.766 (35.833) Prec@5 59.766 (61.584)
Epoch: [14][1550/5005] Time 0.205 (0.222) Data 0.049 (0.068) Loss 2.9011 (2.9629) Prec@1 42.578 (35.838) Prec@5 63.672 (61.586)
Epoch: [14][1560/5005] Time 0.201 (0.222) Data 0.042 (0.068) Loss 2.8636 (2.9630) Prec@1 35.547 (35.838) Prec@5 62.500 (61.588)
Epoch: [14][1570/5005] Time 0.196 (0.222) Data 0.049 (0.068) Loss 2.8241 (2.9629) Prec@1 39.062 (35.847) Prec@5 64.844 (61.586)
Epoch: [14][1580/5005] Time 0.193 (0.223) Data 0.046 (0.068) Loss 2.8547 (2.9633) Prec@1 35.547 (35.842) Prec@5 67.969 (61.585)
Epoch: [14][1590/5005] Time 0.205 (0.223) Data 0.058 (0.069) Loss 2.8824 (2.9631) Prec@1 38.672 (35.840) Prec@5 61.719 (61.589)
Epoch: [14][1600/5005] Time 0.194 (0.223) Data 0.050 (0.069) Loss 3.0500 (2.9631) Prec@1 35.156 (35.837) Prec@5 57.422 (61.594)
Epoch: [14][1610/5005] Time 0.198 (0.223) Data 0.044 (0.069) Loss 3.0685 (2.9634) Prec@1 35.938 (35.829) Prec@5 59.766 (61.593)
Epoch: [14][1620/5005] Time 0.196 (0.223) Data 0.044 (0.069) Loss 3.2535 (2.9633) Prec@1 30.078 (35.829) Prec@5 55.469 (61.593)
Epoch: [14][1630/5005] Time 0.233 (0.223) Data 0.144 (0.069) Loss 2.8701 (2.9634) Prec@1 38.672 (35.828) Prec@5 61.719 (61.591)
Epoch: [14][1640/5005] Time 0.215 (0.223) Data 0.053 (0.069) Loss 3.1224 (2.9639) Prec@1 33.203 (35.822) Prec@5 59.375 (61.587)
Epoch: [14][1650/5005] Time 0.206 (0.223) Data 0.042 (0.069) Loss 3.0458 (2.9637) Prec@1 36.719 (35.831) Prec@5 62.500 (61.591)
Epoch: [14][1660/5005] Time 0.203 (0.223) Data 0.045 (0.069) Loss 2.8539 (2.9632) Prec@1 37.891 (35.846) Prec@5 63.672 (61.601)
Epoch: [14][1670/5005] Time 0.192 (0.223) Data 0.061 (0.069) Loss 2.7162 (2.9632) Prec@1 37.891 (35.846) Prec@5 64.844 (61.602)
Epoch: [14][1680/5005] Time 0.203 (0.223) Data 0.039 (0.069) Loss 3.1198 (2.9634) Prec@1 36.328 (35.846) Prec@5 60.938 (61.600)
Epoch: [14][1690/5005] Time 0.209 (0.223) Data 0.042 (0.069) Loss 2.8558 (2.9632) Prec@1 35.156 (35.846) Prec@5 64.062 (61.603)
Epoch: [14][1700/5005] Time 0.212 (0.223) Data 0.118 (0.069) Loss 2.8912 (2.9624) Prec@1 33.594 (35.854) Prec@5 62.500 (61.614)
Epoch: [14][1710/5005] Time 0.200 (0.223) Data 0.047 (0.069) Loss 2.9164 (2.9619) Prec@1 37.109 (35.861) Prec@5 61.719 (61.623)
Epoch: [14][1720/5005] Time 0.197 (0.223) Data 0.110 (0.069) Loss 3.0667 (2.9620) Prec@1 35.156 (35.856) Prec@5 60.938 (61.628)
Epoch: [14][1730/5005] Time 0.209 (0.223) Data 0.040 (0.069) Loss 2.8850 (2.9620) Prec@1 31.250 (35.849) Prec@5 62.891 (61.628)
Epoch: [14][1740/5005] Time 0.392 (0.223) Data 0.314 (0.069) Loss 3.1068 (2.9617) Prec@1 34.375 (35.849) Prec@5 61.328 (61.638)
Epoch: [14][1750/5005] Time 0.203 (0.223) Data 0.049 (0.070) Loss 3.0090 (2.9613) Prec@1 32.422 (35.847) Prec@5 57.031 (61.648)
Epoch: [14][1760/5005] Time 0.202 (0.223) Data 0.042 (0.070) Loss 2.6574 (2.9611) Prec@1 38.281 (35.853) Prec@5 66.406 (61.652)
Epoch: [14][1770/5005] Time 0.192 (0.223) Data 0.046 (0.070) Loss 2.8830 (2.9607) Prec@1 33.594 (35.852) Prec@5 63.672 (61.660)
Epoch: [14][1780/5005] Time 0.206 (0.223) Data 0.050 (0.070) Loss 2.9331 (2.9606) Prec@1 34.375 (35.851) Prec@5 64.062 (61.663)
Epoch: [14][1790/5005] Time 0.199 (0.223) Data 0.046 (0.070) Loss 2.8657 (2.9604) Prec@1 34.375 (35.849) Prec@5 60.938 (61.669)
Epoch: [14][1800/5005] Time 0.205 (0.223) Data 0.044 (0.070) Loss 2.9048 (2.9601) Prec@1 36.328 (35.851) Prec@5 60.938 (61.675)
Epoch: [14][1810/5005] Time 0.205 (0.223) Data 0.044 (0.070) Loss 2.7686 (2.9599) Prec@1 39.844 (35.856) Prec@5 66.406 (61.678)
Epoch: [14][1820/5005] Time 0.217 (0.223) Data 0.132 (0.070) Loss 3.0479 (2.9599) Prec@1 32.812 (35.855) Prec@5 62.500 (61.677)
Epoch: [14][1830/5005] Time 0.183 (0.223) Data 0.059 (0.070) Loss 2.8202 (2.9595) Prec@1 35.938 (35.863) Prec@5 63.672 (61.684)
Epoch: [14][1840/5005] Time 0.205 (0.223) Data 0.044 (0.070) Loss 3.1766 (2.9592) Prec@1 30.859 (35.870) Prec@5 58.203 (61.687)
Epoch: [14][1850/5005] Time 0.201 (0.223) Data 0.047 (0.070) Loss 2.8254 (2.9592) Prec@1 34.766 (35.866) Prec@5 62.891 (61.684)
Epoch: [14][1860/5005] Time 0.206 (0.223) Data 0.046 (0.070) Loss 2.8238 (2.9595) Prec@1 39.062 (35.857) Prec@5 64.062 (61.683)
Epoch: [14][1870/5005] Time 0.199 (0.223) Data 0.045 (0.070) Loss 3.3372 (2.9597) Prec@1 27.734 (35.856) Prec@5 55.469 (61.682)
Epoch: [14][1880/5005] Time 0.193 (0.223) Data 0.104 (0.070) Loss 3.0715 (2.9601) Prec@1 36.328 (35.855) Prec@5 61.328 (61.673)
Epoch: [14][1890/5005] Time 0.201 (0.223) Data 0.100 (0.070) Loss 2.9956 (2.9600) Prec@1 36.719 (35.858) Prec@5 62.109 (61.678)
Epoch: [14][1900/5005] Time 0.286 (0.223) Data 0.201 (0.071) Loss 2.9166 (2.9605) Prec@1 34.766 (35.853) Prec@5 59.766 (61.664)
Epoch: [14][1910/5005] Time 0.191 (0.224) Data 0.048 (0.071) Loss 2.9852 (2.9607) Prec@1 34.766 (35.852) Prec@5 59.375 (61.652)
Epoch: [14][1920/5005] Time 0.204 (0.224) Data 0.045 (0.071) Loss 2.9112 (2.9605) Prec@1 30.859 (35.843) Prec@5 58.984 (61.653)
Epoch: [14][1930/5005] Time 0.197 (0.224) Data 0.048 (0.071) Loss 2.9148 (2.9605) Prec@1 36.328 (35.849) Prec@5 61.328 (61.653)
Epoch: [14][1940/5005] Time 0.200 (0.224) Data 0.046 (0.071) Loss 2.8401 (2.9601) Prec@1 39.453 (35.848) Prec@5 63.672 (61.657)
Epoch: [14][1950/5005] Time 0.211 (0.224) Data 0.041 (0.071) Loss 2.9967 (2.9600) Prec@1 35.938 (35.852) Prec@5 58.984 (61.658)
Epoch: [14][1960/5005] Time 0.207 (0.224) Data 0.043 (0.071) Loss 2.8005 (2.9597) Prec@1 38.672 (35.861) Prec@5 66.016 (61.662)
Epoch: [14][1970/5005] Time 0.203 (0.224) Data 0.040 (0.070) Loss 2.9541 (2.9599) Prec@1 36.328 (35.860) Prec@5 61.719 (61.653)
Epoch: [14][1980/5005] Time 0.202 (0.223) Data 0.042 (0.070) Loss 2.5497 (2.9597) Prec@1 42.969 (35.870) Prec@5 67.188 (61.655)
Epoch: [14][1990/5005] Time 0.202 (0.223) Data 0.039 (0.070) Loss 2.7576 (2.9596) Prec@1 38.672 (35.874) Prec@5 64.453 (61.657)
Epoch: [14][2000/5005] Time 0.201 (0.223) Data 0.039 (0.070) Loss 2.7887 (2.9596) Prec@1 38.281 (35.873) Prec@5 62.891 (61.647)
Epoch: [14][2010/5005] Time 0.215 (0.223) Data 0.124 (0.070) Loss 2.9461 (2.9598) Prec@1 35.156 (35.866) Prec@5 63.281 (61.643)
Epoch: [14][2020/5005] Time 0.203 (0.223) Data 0.063 (0.070) Loss 2.8213 (2.9600) Prec@1 37.109 (35.866) Prec@5 63.281 (61.643)
Epoch: [14][2030/5005] Time 0.205 (0.223) Data 0.052 (0.070) Loss 2.8409 (2.9601) Prec@1 39.062 (35.870) Prec@5 65.234 (61.641)
Epoch: [14][2040/5005] Time 0.204 (0.223) Data 0.044 (0.070) Loss 2.6830 (2.9598) Prec@1 38.672 (35.874) Prec@5 66.016 (61.646)
Epoch: [14][2050/5005] Time 0.205 (0.223) Data 0.040 (0.070) Loss 2.8639 (2.9597) Prec@1 41.406 (35.874) Prec@5 61.328 (61.650)
Epoch: [14][2060/5005] Time 0.235 (0.223) Data 0.146 (0.070) Loss 2.8853 (2.9597) Prec@1 35.938 (35.875) Prec@5 60.938 (61.648)
Epoch: [14][2070/5005] Time 0.196 (0.223) Data 0.054 (0.070) Loss 3.1645 (2.9600) Prec@1 36.328 (35.871) Prec@5 58.203 (61.642)
Epoch: [14][2080/5005] Time 0.202 (0.223) Data 0.042 (0.070) Loss 3.1109 (2.9599) Prec@1 31.250 (35.876) Prec@5 61.719 (61.644)
Epoch: [14][2090/5005] Time 0.207 (0.223) Data 0.040 (0.070) Loss 2.7841 (2.9593) Prec@1 35.547 (35.881) Prec@5 64.844 (61.654)
Epoch: [14][2100/5005] Time 0.206 (0.223) Data 0.051 (0.071) Loss 3.1131 (2.9593) Prec@1 33.203 (35.883) Prec@5 58.203 (61.656)
Epoch: [14][2110/5005] Time 0.204 (0.223) Data 0.040 (0.071) Loss 2.9414 (2.9594) Prec@1 38.281 (35.883) Prec@5 60.547 (61.654)
Epoch: [14][2120/5005] Time 0.203 (0.223) Data 0.043 (0.070) Loss 3.1180 (2.9596) Prec@1 33.984 (35.880) Prec@5 60.156 (61.659)
Epoch: [14][2130/5005] Time 0.200 (0.223) Data 0.047 (0.070) Loss 2.8294 (2.9592) Prec@1 38.672 (35.885) Prec@5 66.016 (61.667)
Epoch: [14][2140/5005] Time 0.192 (0.223) Data 0.106 (0.071) Loss 2.7987 (2.9594) Prec@1 38.281 (35.885) Prec@5 63.281 (61.662)
Epoch: [14][2150/5005] Time 0.194 (0.224) Data 0.043 (0.071) Loss 2.8519 (2.9594) Prec@1 34.766 (35.887) Prec@5 63.281 (61.658)
Epoch: [14][2160/5005] Time 0.193 (0.224) Data 0.045 (0.071) Loss 2.7353 (2.9593) Prec@1 38.281 (35.889) Prec@5 65.234 (61.660)
Epoch: [14][2170/5005] Time 0.202 (0.223) Data 0.042 (0.071) Loss 2.8999 (2.9590) Prec@1 35.938 (35.893) Prec@5 63.281 (61.660)
Epoch: [14][2180/5005] Time 0.394 (0.224) Data 0.303 (0.071) Loss 2.9832 (2.9591) Prec@1 39.062 (35.895) Prec@5 62.109 (61.661)
Epoch: [14][2190/5005] Time 0.205 (0.224) Data 0.047 (0.071) Loss 3.1996 (2.9592) Prec@1 32.422 (35.894) Prec@5 53.906 (61.662)
Epoch: [14][2200/5005] Time 0.205 (0.224) Data 0.046 (0.071) Loss 2.9027 (2.9594) Prec@1 36.719 (35.894) Prec@5 62.109 (61.662)
Epoch: [14][2210/5005] Time 0.209 (0.224) Data 0.130 (0.071) Loss 3.0944 (2.9596) Prec@1 35.547 (35.892) Prec@5 61.719 (61.660)
Epoch: [14][2220/5005] Time 0.209 (0.224) Data 0.047 (0.071) Loss 3.0551 (2.9596) Prec@1 35.547 (35.893) Prec@5 61.328 (61.658)
Epoch: [14][2230/5005] Time 0.212 (0.224) Data 0.047 (0.071) Loss 3.0658 (2.9599) Prec@1 36.719 (35.890) Prec@5 59.375 (61.650)
Epoch: [14][2240/5005] Time 0.207 (0.224) Data 0.049 (0.071) Loss 2.9792 (2.9599) Prec@1 35.938 (35.890) Prec@5 64.453 (61.654)
Epoch: [14][2250/5005] Time 0.195 (0.224) Data 0.048 (0.071) Loss 2.8975 (2.9600) Prec@1 35.547 (35.894) Prec@5 63.672 (61.656)
Epoch: [14][2260/5005] Time 0.316 (0.224) Data 0.237 (0.072) Loss 2.7770 (2.9596) Prec@1 35.938 (35.901) Prec@5 62.500 (61.659)
Epoch: [14][2270/5005] Time 0.197 (0.223) Data 0.045 (0.072) Loss 3.0255 (2.9592) Prec@1 37.891 (35.910) Prec@5 59.375 (61.665)
Epoch: [14][2280/5005] Time 0.207 (0.224) Data 0.041 (0.072) Loss 2.8700 (2.9591) Prec@1 37.891 (35.909) Prec@5 64.062 (61.664)
Epoch: [14][2290/5005] Time 0.282 (0.224) Data 0.192 (0.072) Loss 2.7024 (2.9590) Prec@1 40.625 (35.913) Prec@5 66.797 (61.667)
Epoch: [14][2300/5005] Time 0.529 (0.224) Data 0.443 (0.072) Loss 2.8047 (2.9590) Prec@1 37.891 (35.912) Prec@5 66.016 (61.667)
Epoch: [14][2310/5005] Time 0.214 (0.224) Data 0.049 (0.072) Loss 2.7631 (2.9589) Prec@1 39.062 (35.916) Prec@5 63.672 (61.669)
Epoch: [14][2320/5005] Time 0.202 (0.224) Data 0.061 (0.072) Loss 2.9909 (2.9587) Prec@1 31.250 (35.920) Prec@5 60.547 (61.673)
Epoch: [14][2330/5005] Time 0.581 (0.224) Data 0.491 (0.072) Loss 2.8793 (2.9586) Prec@1 37.891 (35.922) Prec@5 63.281 (61.675)
Epoch: [14][2340/5005] Time 0.203 (0.224) Data 0.044 (0.072) Loss 2.9639 (2.9583) Prec@1 34.375 (35.927) Prec@5 61.328 (61.680)
Epoch: [14][2350/5005] Time 0.201 (0.224) Data 0.044 (0.072) Loss 2.9298 (2.9583) Prec@1 36.719 (35.931) Prec@5 60.156 (61.679)
Epoch: [14][2360/5005] Time 0.215 (0.224) Data 0.044 (0.072) Loss 2.9051 (2.9584) Prec@1 35.938 (35.932) Prec@5 61.328 (61.678)
Epoch: [14][2370/5005] Time 0.297 (0.224) Data 0.213 (0.072) Loss 3.0079 (2.9584) Prec@1 33.984 (35.931) Prec@5 58.203 (61.679)
Epoch: [14][2380/5005] Time 0.199 (0.224) Data 0.062 (0.072) Loss 2.8439 (2.9582) Prec@1 38.281 (35.931) Prec@5 61.719 (61.682)
Epoch: [14][2390/5005] Time 0.203 (0.224) Data 0.044 (0.072) Loss 2.8411 (2.9580) Prec@1 35.156 (35.932) Prec@5 64.062 (61.685)
Epoch: [14][2400/5005] Time 0.338 (0.224) Data 0.250 (0.072) Loss 2.8843 (2.9580) Prec@1 37.500 (35.937) Prec@5 60.938 (61.686)
Epoch: [14][2410/5005] Time 0.206 (0.224) Data 0.041 (0.072) Loss 2.9267 (2.9578) Prec@1 33.984 (35.939) Prec@5 61.719 (61.688)
Epoch: [14][2420/5005] Time 0.209 (0.224) Data 0.042 (0.072) Loss 3.0132 (2.9578) Prec@1 34.766 (35.941) Prec@5 60.547 (61.694)
Epoch: [14][2430/5005] Time 0.197 (0.224) Data 0.044 (0.072) Loss 2.9426 (2.9580) Prec@1 36.719 (35.941) Prec@5 57.812 (61.689)
Epoch: [14][2440/5005] Time 0.194 (0.224) Data 0.066 (0.072) Loss 2.7002 (2.9581) Prec@1 37.500 (35.940) Prec@5 67.969 (61.687)
Epoch: [14][2450/5005] Time 0.211 (0.224) Data 0.046 (0.072) Loss 2.9105 (2.9579) Prec@1 35.156 (35.940) Prec@5 60.938 (61.687)
Epoch: [14][2460/5005] Time 0.200 (0.224) Data 0.048 (0.072) Loss 2.9534 (2.9579) Prec@1 32.031 (35.939) Prec@5 63.281 (61.689)
Epoch: [14][2470/5005] Time 0.252 (0.224) Data 0.165 (0.073) Loss 2.9596 (2.9577) Prec@1 36.328 (35.940) Prec@5 59.766 (61.690)
Epoch: [14][2480/5005] Time 0.201 (0.224) Data 0.084 (0.073) Loss 3.0261 (2.9578) Prec@1 35.547 (35.939) Prec@5 62.109 (61.688)
Epoch: [14][2490/5005] Time 0.203 (0.224) Data 0.047 (0.073) Loss 2.7484 (2.9577) Prec@1 39.844 (35.940) Prec@5 66.016 (61.692)
Epoch: [14][2500/5005] Time 0.203 (0.224) Data 0.045 (0.073) Loss 2.9613 (2.9577) Prec@1 35.547 (35.938) Prec@5 60.547 (61.693)
Epoch: [14][2510/5005] Time 0.581 (0.224) Data 0.502 (0.073) Loss 2.9543 (2.9576) Prec@1 35.156 (35.933) Prec@5 62.500 (61.695)
Epoch: [14][2520/5005] Time 0.234 (0.224) Data 0.145 (0.073) Loss 2.7363 (2.9574) Prec@1 39.062 (35.937) Prec@5 66.016 (61.694)
Epoch: [14][2530/5005] Time 0.201 (0.224) Data 0.106 (0.073) Loss 3.2339 (2.9575) Prec@1 28.516 (35.935) Prec@5 55.859 (61.690)
Epoch: [14][2540/5005] Time 0.207 (0.224) Data 0.048 (0.073) Loss 2.9211 (2.9574) Prec@1 36.328 (35.938) Prec@5 62.109 (61.691)
Epoch: [14][2550/5005] Time 0.206 (0.224) Data 0.041 (0.073) Loss 2.9076 (2.9573) Prec@1 32.812 (35.943) Prec@5 65.625 (61.696)
Epoch: [14][2560/5005] Time 0.204 (0.224) Data 0.044 (0.073) Loss 3.0060 (2.9573) Prec@1 35.156 (35.943) Prec@5 61.328 (61.696)
Epoch: [14][2570/5005] Time 0.201 (0.224) Data 0.039 (0.073) Loss 2.8689 (2.9574) Prec@1 38.281 (35.946) Prec@5 65.234 (61.694)
Epoch: [14][2580/5005] Time 0.194 (0.224) Data 0.049 (0.073) Loss 3.0190 (2.9580) Prec@1 34.375 (35.937) Prec@5 59.375 (61.678)
Epoch: [14][2590/5005] Time 0.222 (0.224) Data 0.131 (0.073) Loss 3.1288 (2.9577) Prec@1 35.938 (35.945) Prec@5 61.328 (61.682)
Epoch: [14][2600/5005] Time 0.204 (0.224) Data 0.043 (0.073) Loss 2.9845 (2.9579) Prec@1 35.547 (35.944) Prec@5 58.203 (61.677)
Epoch: [14][2610/5005] Time 0.203 (0.224) Data 0.042 (0.073) Loss 3.0966 (2.9577) Prec@1 33.594 (35.947) Prec@5 58.203 (61.679)
Epoch: [14][2620/5005] Time 0.207 (0.224) Data 0.044 (0.073) Loss 3.0393 (2.9577) Prec@1 33.203 (35.943) Prec@5 59.375 (61.679)
Epoch: [14][2630/5005] Time 0.204 (0.224) Data 0.046 (0.073) Loss 3.2405 (2.9583) Prec@1 28.125 (35.931) Prec@5 58.203 (61.669)
Epoch: [14][2640/5005] Time 0.201 (0.224) Data 0.047 (0.073) Loss 3.0146 (2.9583) Prec@1 32.031 (35.930) Prec@5 60.938 (61.667)
Epoch: [14][2650/5005] Time 0.202 (0.224) Data 0.056 (0.073) Loss 3.1184 (2.9583) Prec@1 33.203 (35.932) Prec@5 55.859 (61.665)
Epoch: [14][2660/5005] Time 0.213 (0.224) Data 0.045 (0.073) Loss 2.9257 (2.9582) Prec@1 34.766 (35.936) Prec@5 60.938 (61.663)
Epoch: [14][2670/5005] Time 0.197 (0.224) Data 0.050 (0.073) Loss 2.6764 (2.9579) Prec@1 39.062 (35.944) Prec@5 66.406 (61.665)
Epoch: [14][2680/5005] Time 0.188 (0.224) Data 0.055 (0.073) Loss 2.8575 (2.9580) Prec@1 33.984 (35.938) Prec@5 63.672 (61.663)
Epoch: [14][2690/5005] Time 0.202 (0.224) Data 0.118 (0.073) Loss 2.8647 (2.9580) Prec@1 41.797 (35.939) Prec@5 63.281 (61.665)
Epoch: [14][2700/5005] Time 0.206 (0.224) Data 0.048 (0.073) Loss 2.8952 (2.9580) Prec@1 35.938 (35.935) Prec@5 63.672 (61.664)
Epoch: [14][2710/5005] Time 0.197 (0.224) Data 0.056 (0.073) Loss 2.7747 (2.9582) Prec@1 39.453 (35.930) Prec@5 64.844 (61.662)
Epoch: [14][2720/5005] Time 0.214 (0.224) Data 0.041 (0.074) Loss 2.8942 (2.9584) Prec@1 41.016 (35.928) Prec@5 63.281 (61.664)
Epoch: [14][2730/5005] Time 0.202 (0.224) Data 0.049 (0.074) Loss 3.0495 (2.9582) Prec@1 34.766 (35.930) Prec@5 58.594 (61.667)
Epoch: [14][2740/5005] Time 0.200 (0.224) Data 0.046 (0.074) Loss 2.9125 (2.9582) Prec@1 35.547 (35.933) Prec@5 58.203 (61.665)
Epoch: [14][2750/5005] Time 0.204 (0.224) Data 0.043 (0.074) Loss 2.9044 (2.9580) Prec@1 35.156 (35.939) Prec@5 60.156 (61.668)
Epoch: [14][2760/5005] Time 0.203 (0.224) Data 0.040 (0.074) Loss 2.9772 (2.9579) Prec@1 33.203 (35.936) Prec@5 64.453 (61.676)
Epoch: [14][2770/5005] Time 0.200 (0.224) Data 0.046 (0.074) Loss 2.8902 (2.9579) Prec@1 38.672 (35.938) Prec@5 62.891 (61.675)
Epoch: [14][2780/5005] Time 0.205 (0.224) Data 0.040 (0.074) Loss 3.1644 (2.9578) Prec@1 32.812 (35.940) Prec@5 58.594 (61.678)
Epoch: [14][2790/5005] Time 0.207 (0.224) Data 0.046 (0.074) Loss 3.3086 (2.9580) Prec@1 31.250 (35.938) Prec@5 51.562 (61.672)
Epoch: [14][2800/5005] Time 0.208 (0.224) Data 0.041 (0.074) Loss 2.7546 (2.9578) Prec@1 40.234 (35.945) Prec@5 65.625 (61.677)
Epoch: [14][2810/5005] Time 0.205 (0.224) Data 0.047 (0.074) Loss 3.1352 (2.9577) Prec@1 32.031 (35.944) Prec@5 56.641 (61.678)
Epoch: [14][2820/5005] Time 0.372 (0.224) Data 0.281 (0.074) Loss 2.6016 (2.9577) Prec@1 42.188 (35.944) Prec@5 65.234 (61.679)
Epoch: [14][2830/5005] Time 0.202 (0.224) Data 0.044 (0.074) Loss 3.2704 (2.9578) Prec@1 31.250 (35.940) Prec@5 55.859 (61.675)
Epoch: [14][2840/5005] Time 0.193 (0.224) Data 0.041 (0.074) Loss 2.9348 (2.9576) Prec@1 35.547 (35.945) Prec@5 61.328 (61.677)
Epoch: [14][2850/5005] Time 0.203 (0.224) Data 0.088 (0.074) Loss 2.9269 (2.9575) Prec@1 37.109 (35.947) Prec@5 62.109 (61.678)
Epoch: [14][2860/5005] Time 0.317 (0.224) Data 0.236 (0.074) Loss 3.0429 (2.9576) Prec@1 39.062 (35.950) Prec@5 60.938 (61.679)
Epoch: [14][2870/5005] Time 0.210 (0.224) Data 0.044 (0.074) Loss 2.8594 (2.9573) Prec@1 34.766 (35.956) Prec@5 63.672 (61.689)
Epoch: [14][2880/5005] Time 0.207 (0.224) Data 0.041 (0.074) Loss 2.9060 (2.9572) Prec@1 33.594 (35.954) Prec@5 62.891 (61.689)
Epoch: [14][2890/5005] Time 0.215 (0.224) Data 0.042 (0.074) Loss 3.0408 (2.9570) Prec@1 30.078 (35.958) Prec@5 59.766 (61.693)
Epoch: [14][2900/5005] Time 0.204 (0.224) Data 0.043 (0.074) Loss 2.7724 (2.9568) Prec@1 38.281 (35.958) Prec@5 63.281 (61.695)
Epoch: [14][2910/5005] Time 0.204 (0.224) Data 0.045 (0.074) Loss 2.8974 (2.9568) Prec@1 33.984 (35.960) Prec@5 62.500 (61.695)
Epoch: [14][2920/5005] Time 0.191 (0.224) Data 0.044 (0.074) Loss 2.9875 (2.9568) Prec@1 33.984 (35.962) Prec@5 59.766 (61.695)
Epoch: [14][2930/5005] Time 0.202 (0.224) Data 0.040 (0.074) Loss 3.1106 (2.9568) Prec@1 30.859 (35.960) Prec@5 57.812 (61.695)
Epoch: [14][2940/5005] Time 0.218 (0.224) Data 0.045 (0.074) Loss 3.0581 (2.9567) Prec@1 33.984 (35.961) Prec@5 57.812 (61.696)
Epoch: [14][2950/5005] Time 0.198 (0.224) Data 0.108 (0.074) Loss 3.2534 (2.9566) Prec@1 29.297 (35.961) Prec@5 57.812 (61.698)
Epoch: [14][2960/5005] Time 0.206 (0.224) Data 0.042 (0.074) Loss 2.8659 (2.9566) Prec@1 41.016 (35.964) Prec@5 62.109 (61.701)
Epoch: [14][2970/5005] Time 0.210 (0.224) Data 0.043 (0.074) Loss 3.1907 (2.9565) Prec@1 31.250 (35.961) Prec@5 58.594 (61.702)
Epoch: [14][2980/5005] Time 0.383 (0.224) Data 0.293 (0.074) Loss 3.0581 (2.9567) Prec@1 35.156 (35.959) Prec@5 59.766 (61.699)
Epoch: [14][2990/5005] Time 0.237 (0.224) Data 0.150 (0.074) Loss 2.8286 (2.9568) Prec@1 37.500 (35.958) Prec@5 62.891 (61.696)
Epoch: [14][3000/5005] Time 0.200 (0.224) Data 0.047 (0.074) Loss 2.8305 (2.9565) Prec@1 37.109 (35.961) Prec@5 62.109 (61.697)
Epoch: [14][3010/5005] Time 0.202 (0.224) Data 0.042 (0.074) Loss 2.8182 (2.9566) Prec@1 37.109 (35.960) Prec@5 63.281 (61.697)
Epoch: [14][3020/5005] Time 0.203 (0.224) Data 0.040 (0.074) Loss 2.7930 (2.9567) Prec@1 39.453 (35.960) Prec@5 63.281 (61.694)
Epoch: [14][3030/5005] Time 0.296 (0.224) Data 0.215 (0.074) Loss 2.9727 (2.9568) Prec@1 39.844 (35.960) Prec@5 64.062 (61.696)
Epoch: [14][3040/5005] Time 0.194 (0.224) Data 0.099 (0.074) Loss 2.7677 (2.9568) Prec@1 37.891 (35.963) Prec@5 62.891 (61.696)
Epoch: [14][3050/5005] Time 0.210 (0.224) Data 0.045 (0.074) Loss 2.9321 (2.9566) Prec@1 34.766 (35.964) Prec@5 62.891 (61.700)
Epoch: [14][3060/5005] Time 0.202 (0.224) Data 0.048 (0.074) Loss 2.8145 (2.9564) Prec@1 34.766 (35.965) Prec@5 62.891 (61.696)
Epoch: [14][3070/5005] Time 0.189 (0.224) Data 0.049 (0.074) Loss 3.1004 (2.9565) Prec@1 35.938 (35.966) Prec@5 58.594 (61.692)
Epoch: [14][3080/5005] Time 0.200 (0.224) Data 0.050 (0.074) Loss 2.8914 (2.9566) Prec@1 35.156 (35.963) Prec@5 60.938 (61.691)
Epoch: [14][3090/5005] Time 0.209 (0.224) Data 0.047 (0.074) Loss 3.3041 (2.9567) Prec@1 28.906 (35.960) Prec@5 55.078 (61.689)
Epoch: [14][3100/5005] Time 0.322 (0.224) Data 0.234 (0.074) Loss 2.9532 (2.9568) Prec@1 35.547 (35.959) Prec@5 58.594 (61.687)
Epoch: [14][3110/5005] Time 0.196 (0.224) Data 0.060 (0.074) Loss 2.7793 (2.9566) Prec@1 36.328 (35.962) Prec@5 67.969 (61.691)
Epoch: [14][3120/5005] Time 0.220 (0.224) Data 0.044 (0.074) Loss 2.9461 (2.9566) Prec@1 32.422 (35.963) Prec@5 63.281 (61.689)
Epoch: [14][3130/5005] Time 0.285 (0.224) Data 0.188 (0.074) Loss 3.2081 (2.9565) Prec@1 29.688 (35.967) Prec@5 58.203 (61.691)
Epoch: [14][3140/5005] Time 0.202 (0.224) Data 0.046 (0.074) Loss 2.8188 (2.9563) Prec@1 37.109 (35.970) Prec@5 62.500 (61.691)
Epoch: [14][3150/5005] Time 0.195 (0.224) Data 0.048 (0.074) Loss 2.8667 (2.9562) Prec@1 40.234 (35.973) Prec@5 63.281 (61.695)
Epoch: [14][3160/5005] Time 0.200 (0.224) Data 0.046 (0.074) Loss 2.8080 (2.9562) Prec@1 41.016 (35.979) Prec@5 63.672 (61.695)
Epoch: [14][3170/5005] Time 0.200 (0.224) Data 0.041 (0.074) Loss 2.9578 (2.9562) Prec@1 32.812 (35.976) Prec@5 62.891 (61.695)
Epoch: [14][3180/5005] Time 0.204 (0.224) Data 0.062 (0.074) Loss 2.7058 (2.9563) Prec@1 40.625 (35.975) Prec@5 67.969 (61.696)
Epoch: [14][3190/5005] Time 0.206 (0.224) Data 0.043 (0.074) Loss 2.9487 (2.9563) Prec@1 37.891 (35.975) Prec@5 63.281 (61.697)
Epoch: [14][3200/5005] Time 0.209 (0.224) Data 0.044 (0.074) Loss 3.0715 (2.9562) Prec@1 32.812 (35.976) Prec@5 60.547 (61.699)
Epoch: [14][3210/5005] Time 0.196 (0.224) Data 0.051 (0.074) Loss 3.0610 (2.9562) Prec@1 33.984 (35.974) Prec@5 60.156 (61.700)
Epoch: [14][3220/5005] Time 0.211 (0.224) Data 0.128 (0.074) Loss 3.0227 (2.9562) Prec@1 35.938 (35.976) Prec@5 60.547 (61.702)
Epoch: [14][3230/5005] Time 0.204 (0.224) Data 0.050 (0.074) Loss 2.8660 (2.9561) Prec@1 35.547 (35.976) Prec@5 60.156 (61.703)
Epoch: [14][3240/5005] Time 0.204 (0.224) Data 0.056 (0.075) Loss 3.2015 (2.9565) Prec@1 32.422 (35.972) Prec@5 59.375 (61.697)
Epoch: [14][3250/5005] Time 0.193 (0.224) Data 0.052 (0.075) Loss 2.8416 (2.9566) Prec@1 38.281 (35.968) Prec@5 65.625 (61.696)
Epoch: [14][3260/5005] Time 0.221 (0.224) Data 0.044 (0.075) Loss 2.8655 (2.9567) Prec@1 35.156 (35.969) Prec@5 60.938 (61.695)
Epoch: [14][3270/5005] Time 0.196 (0.224) Data 0.050 (0.075) Loss 3.0861 (2.9567) Prec@1 33.984 (35.970) Prec@5 58.203 (61.696)
Epoch: [14][3280/5005] Time 0.199 (0.224) Data 0.047 (0.075) Loss 2.8983 (2.9568) Prec@1 39.453 (35.965) Prec@5 62.109 (61.695)
Epoch: [14][3290/5005] Time 0.196 (0.224) Data 0.062 (0.075) Loss 2.9093 (2.9568) Prec@1 36.328 (35.965) Prec@5 63.281 (61.698)
Epoch: [14][3300/5005] Time 0.201 (0.224) Data 0.049 (0.075) Loss 2.9412 (2.9567) Prec@1 33.984 (35.969) Prec@5 59.375 (61.696)
Epoch: [14][3310/5005] Time 0.205 (0.224) Data 0.047 (0.075) Loss 2.8042 (2.9568) Prec@1 38.281 (35.969) Prec@5 63.281 (61.691)
Epoch: [14][3320/5005] Time 0.191 (0.224) Data 0.061 (0.075) Loss 3.1013 (2.9569) Prec@1 35.547 (35.965) Prec@5 57.422 (61.690)
Epoch: [14][3330/5005] Time 0.191 (0.224) Data 0.050 (0.075) Loss 3.0528 (2.9570) Prec@1 34.766 (35.962) Prec@5 58.984 (61.689)
Epoch: [14][3340/5005] Time 0.200 (0.224) Data 0.046 (0.075) Loss 3.0395 (2.9571) Prec@1 35.547 (35.960) Prec@5 62.500 (61.689)
Epoch: [14][3350/5005] Time 0.206 (0.224) Data 0.051 (0.075) Loss 3.1114 (2.9571) Prec@1 36.328 (35.959) Prec@5 58.594 (61.689)
Epoch: [14][3360/5005] Time 0.203 (0.224) Data 0.042 (0.075) Loss 2.9726 (2.9572) Prec@1 35.938 (35.954) Prec@5 60.547 (61.690)
Epoch: [14][3370/5005] Time 0.197 (0.224) Data 0.043 (0.075) Loss 3.0248 (2.9574) Prec@1 31.641 (35.953) Prec@5 60.938 (61.687)
Epoch: [14][3380/5005] Time 0.329 (0.224) Data 0.244 (0.075) Loss 2.8254 (2.9572) Prec@1 33.594 (35.952) Prec@5 65.625 (61.691)
Epoch: [14][3390/5005] Time 0.201 (0.224) Data 0.040 (0.075) Loss 2.9073 (2.9575) Prec@1 35.938 (35.948) Prec@5 62.109 (61.686)
Epoch: [14][3400/5005] Time 0.199 (0.224) Data 0.041 (0.075) Loss 2.8296 (2.9576) Prec@1 38.672 (35.947) Prec@5 64.453 (61.684)
Epoch: [14][3410/5005] Time 0.204 (0.224) Data 0.039 (0.075) Loss 2.8509 (2.9575) Prec@1 37.109 (35.949) Prec@5 64.062 (61.688)
Epoch: [14][3420/5005] Time 0.211 (0.224) Data 0.046 (0.075) Loss 2.9400 (2.9574) Prec@1 37.500 (35.951) Prec@5 61.328 (61.687)
Epoch: [14][3430/5005] Time 0.200 (0.224) Data 0.046 (0.075) Loss 2.8361 (2.9574) Prec@1 37.891 (35.951) Prec@5 61.719 (61.688)
Epoch: [14][3440/5005] Time 0.198 (0.224) Data 0.043 (0.075) Loss 2.9842 (2.9573) Prec@1 36.719 (35.952) Prec@5 58.594 (61.687)
Epoch: [14][3450/5005] Time 0.730 (0.224) Data 0.633 (0.075) Loss 2.7100 (2.9573) Prec@1 41.016 (35.953) Prec@5 62.500 (61.688)
Epoch: [14][3460/5005] Time 0.205 (0.224) Data 0.048 (0.075) Loss 2.8849 (2.9574) Prec@1 37.109 (35.954) Prec@5 62.500 (61.687)
Epoch: [14][3470/5005] Time 0.197 (0.224) Data 0.063 (0.075) Loss 2.7437 (2.9573) Prec@1 41.016 (35.956) Prec@5 66.016 (61.689)
Epoch: [14][3480/5005] Time 0.212 (0.224) Data 0.051 (0.075) Loss 2.9424 (2.9570) Prec@1 33.203 (35.957) Prec@5 64.453 (61.694)
Epoch: [14][3490/5005] Time 0.209 (0.224) Data 0.044 (0.075) Loss 3.0338 (2.9570) Prec@1 32.031 (35.956) Prec@5 58.203 (61.692)
Epoch: [14][3500/5005] Time 0.201 (0.224) Data 0.041 (0.075) Loss 2.7794 (2.9571) Prec@1 38.672 (35.954) Prec@5 63.281 (61.689)
Epoch: [14][3510/5005] Time 0.200 (0.224) Data 0.043 (0.075) Loss 3.0232 (2.9571) Prec@1 34.766 (35.949) Prec@5 60.938 (61.691)
Epoch: [14][3520/5005] Time 0.208 (0.224) Data 0.048 (0.075) Loss 3.0230 (2.9572) Prec@1 33.594 (35.947) Prec@5 59.766 (61.690)
Epoch: [14][3530/5005] Time 0.201 (0.224) Data 0.045 (0.075) Loss 2.8778 (2.9570) Prec@1 39.453 (35.952) Prec@5 62.891 (61.693)
Epoch: [14][3540/5005] Time 0.384 (0.224) Data 0.296 (0.075) Loss 2.8693 (2.9567) Prec@1 36.719 (35.955) Prec@5 62.891 (61.697)
Epoch: [14][3550/5005] Time 0.195 (0.224) Data 0.060 (0.075) Loss 3.0081 (2.9565) Prec@1 33.594 (35.954) Prec@5 62.109 (61.700)
Epoch: [14][3560/5005] Time 0.197 (0.224) Data 0.052 (0.075) Loss 3.0196 (2.9565) Prec@1 32.422 (35.954) Prec@5 59.766 (61.702)
Epoch: [14][3570/5005] Time 0.204 (0.224) Data 0.045 (0.075) Loss 2.9893 (2.9565) Prec@1 32.422 (35.956) Prec@5 64.062 (61.702)
Epoch: [14][3580/5005] Time 0.367 (0.224) Data 0.281 (0.075) Loss 2.9033 (2.9565) Prec@1 35.156 (35.952) Prec@5 61.719 (61.704)
Epoch: [14][3590/5005] Time 0.352 (0.224) Data 0.260 (0.075) Loss 3.0626 (2.9562) Prec@1 35.156 (35.956) Prec@5 58.594 (61.708)
Epoch: [14][3600/5005] Time 0.201 (0.224) Data 0.039 (0.075) Loss 3.1156 (2.9561) Prec@1 35.938 (35.956) Prec@5 57.422 (61.712)
Epoch: [14][3610/5005] Time 0.199 (0.224) Data 0.042 (0.075) Loss 2.8827 (2.9561) Prec@1 36.719 (35.955) Prec@5 60.938 (61.711)
Epoch: [14][3620/5005] Time 0.223 (0.224) Data 0.141 (0.075) Loss 3.1222 (2.9559) Prec@1 31.641 (35.958) Prec@5 57.031 (61.715)
Epoch: [14][3630/5005] Time 0.212 (0.224) Data 0.046 (0.075) Loss 3.5065 (2.9558) Prec@1 27.734 (35.959) Prec@5 53.906 (61.714)
Epoch: [14][3640/5005] Time 0.209 (0.224) Data 0.045 (0.075) Loss 2.7764 (2.9558) Prec@1 35.547 (35.960) Prec@5 65.625 (61.713)
Epoch: [14][3650/5005] Time 0.201 (0.224) Data 0.047 (0.075) Loss 2.8718 (2.9559) Prec@1 34.766 (35.957) Prec@5 62.891 (61.713)
Epoch: [14][3660/5005] Time 0.408 (0.224) Data 0.318 (0.075) Loss 3.1516 (2.9558) Prec@1 32.422 (35.956) Prec@5 58.594 (61.714)
Epoch: [14][3670/5005] Time 0.202 (0.224) Data 0.046 (0.075) Loss 3.0510 (2.9558) Prec@1 32.422 (35.958) Prec@5 58.594 (61.714)
Epoch: [14][3680/5005] Time 0.205 (0.224) Data 0.041 (0.075) Loss 2.9808 (2.9560) Prec@1 34.375 (35.955) Prec@5 60.938 (61.711)
Epoch: [14][3690/5005] Time 0.193 (0.224) Data 0.089 (0.076) Loss 2.9013 (2.9560) Prec@1 35.938 (35.954) Prec@5 63.281 (61.709)
Epoch: [14][3700/5005] Time 0.203 (0.224) Data 0.050 (0.075) Loss 3.0883 (2.9561) Prec@1 36.328 (35.954) Prec@5 60.938 (61.707)
Epoch: [14][3710/5005] Time 0.204 (0.224) Data 0.055 (0.076) Loss 2.9792 (2.9561) Prec@1 33.203 (35.955) Prec@5 62.500 (61.706)
Epoch: [14][3720/5005] Time 0.205 (0.224) Data 0.121 (0.076) Loss 3.1672 (2.9563) Prec@1 32.031 (35.952) Prec@5 62.109 (61.706)
Epoch: [14][3730/5005] Time 0.193 (0.224) Data 0.062 (0.076) Loss 2.8723 (2.9563) Prec@1 36.328 (35.954) Prec@5 64.062 (61.703)
Epoch: [14][3740/5005] Time 0.311 (0.224) Data 0.228 (0.076) Loss 3.0109 (2.9559) Prec@1 34.766 (35.959) Prec@5 62.500 (61.710)
Epoch: [14][3750/5005] Time 0.188 (0.224) Data 0.066 (0.076) Loss 2.8800 (2.9561) Prec@1 37.109 (35.954) Prec@5 65.625 (61.707)
Epoch: [14][3760/5005] Time 0.200 (0.224) Data 0.048 (0.076) Loss 3.1356 (2.9563) Prec@1 33.984 (35.952) Prec@5 58.984 (61.705)
Epoch: [14][3770/5005] Time 0.202 (0.224) Data 0.049 (0.076) Loss 3.0885 (2.9562) Prec@1 37.109 (35.953) Prec@5 60.938 (61.708)
Epoch: [14][3780/5005] Time 0.200 (0.224) Data 0.050 (0.076) Loss 3.0556 (2.9562) Prec@1 33.984 (35.956) Prec@5 60.547 (61.707)
Epoch: [14][3790/5005] Time 0.202 (0.224) Data 0.045 (0.076) Loss 2.9696 (2.9562) Prec@1 35.156 (35.957) Prec@5 64.062 (61.708)
Epoch: [14][3800/5005] Time 0.303 (0.224) Data 0.221 (0.076) Loss 2.8637 (2.9564) Prec@1 38.672 (35.954) Prec@5 61.719 (61.703)
Epoch: [14][3810/5005] Time 0.197 (0.224) Data 0.062 (0.076) Loss 2.8867 (2.9566) Prec@1 37.891 (35.949) Prec@5 63.281 (61.700)
Epoch: [14][3820/5005] Time 0.199 (0.224) Data 0.041 (0.076) Loss 2.8783 (2.9564) Prec@1 37.891 (35.952) Prec@5 65.625 (61.704)
Epoch: [14][3830/5005] Time 0.204 (0.224) Data 0.042 (0.076) Loss 2.9310 (2.9562) Prec@1 35.547 (35.954) Prec@5 62.109 (61.705)
Epoch: [14][3840/5005] Time 0.207 (0.224) Data 0.057 (0.076) Loss 3.1972 (2.9563) Prec@1 34.375 (35.956) Prec@5 54.688 (61.703)
Epoch: [14][3850/5005] Time 0.195 (0.224) Data 0.048 (0.076) Loss 2.9420 (2.9563) Prec@1 36.328 (35.953) Prec@5 64.453 (61.704)
Epoch: [14][3860/5005] Time 0.201 (0.224) Data 0.046 (0.076) Loss 2.7362 (2.9563) Prec@1 42.578 (35.954) Prec@5 66.406 (61.703)
Epoch: [14][3870/5005] Time 0.197 (0.224) Data 0.046 (0.076) Loss 2.9385 (2.9564) Prec@1 34.375 (35.948) Prec@5 63.281 (61.701)
Epoch: [14][3880/5005] Time 0.203 (0.224) Data 0.047 (0.076) Loss 2.8837 (2.9565) Prec@1 39.844 (35.948) Prec@5 60.547 (61.700)
Epoch: [14][3890/5005] Time 0.209 (0.224) Data 0.044 (0.076) Loss 3.1617 (2.9565) Prec@1 31.641 (35.947) Prec@5 60.547 (61.701)
Epoch: [14][3900/5005] Time 0.206 (0.224) Data 0.041 (0.076) Loss 3.3135 (2.9566) Prec@1 33.594 (35.946) Prec@5 55.859 (61.698)
Epoch: [14][3910/5005] Time 0.210 (0.224) Data 0.048 (0.076) Loss 3.0635 (2.9567) Prec@1 34.766 (35.945) Prec@5 60.156 (61.697)
Epoch: [14][3920/5005] Time 0.209 (0.224) Data 0.053 (0.076) Loss 2.9578 (2.9567) Prec@1 34.766 (35.943) Prec@5 60.938 (61.695)
Epoch: [14][3930/5005] Time 0.206 (0.224) Data 0.044 (0.076) Loss 2.9288 (2.9566) Prec@1 36.719 (35.947) Prec@5 59.766 (61.696)
Epoch: [14][3940/5005] Time 0.204 (0.224) Data 0.044 (0.076) Loss 2.9285 (2.9565) Prec@1 35.156 (35.948) Prec@5 62.891 (61.694)
Epoch: [14][3950/5005] Time 0.200 (0.224) Data 0.048 (0.076) Loss 2.9475 (2.9565) Prec@1 37.109 (35.948) Prec@5 62.891 (61.698)
Epoch: [14][3960/5005] Time 0.315 (0.224) Data 0.228 (0.076) Loss 2.6856 (2.9565) Prec@1 40.234 (35.950) Prec@5 64.453 (61.699)
Epoch: [14][3970/5005] Time 0.943 (0.224) Data 0.856 (0.076) Loss 3.0496 (2.9565) Prec@1 33.594 (35.949) Prec@5 62.109 (61.700)
Epoch: [14][3980/5005] Time 0.199 (0.224) Data 0.040 (0.076) Loss 2.8383 (2.9563) Prec@1 38.672 (35.950) Prec@5 64.844 (61.704)
Epoch: [14][3990/5005] Time 0.210 (0.224) Data 0.040 (0.076) Loss 3.0882 (2.9564) Prec@1 31.641 (35.944) Prec@5 61.719 (61.706)
Epoch: [14][4000/5005] Time 0.214 (0.224) Data 0.041 (0.076) Loss 2.9917 (2.9564) Prec@1 35.938 (35.942) Prec@5 61.719 (61.704)
Epoch: [14][4010/5005] Time 0.206 (0.224) Data 0.044 (0.076) Loss 2.9879 (2.9562) Prec@1 35.547 (35.947) Prec@5 62.109 (61.708)
Epoch: [14][4020/5005] Time 0.197 (0.224) Data 0.055 (0.076) Loss 3.0843 (2.9563) Prec@1 33.984 (35.942) Prec@5 59.375 (61.707)
Epoch: [14][4030/5005] Time 0.197 (0.224) Data 0.045 (0.076) Loss 3.1314 (2.9565) Prec@1 35.938 (35.941) Prec@5 60.156 (61.703)
Epoch: [14][4040/5005] Time 0.204 (0.224) Data 0.045 (0.076) Loss 2.9956 (2.9566) Prec@1 37.891 (35.939) Prec@5 60.938 (61.700)
Epoch: [14][4050/5005] Time 0.714 (0.224) Data 0.634 (0.076) Loss 3.1521 (2.9567) Prec@1 32.031 (35.937) Prec@5 57.812 (61.699)
Epoch: [14][4060/5005] Time 0.202 (0.224) Data 0.054 (0.076) Loss 2.9716 (2.9567) Prec@1 35.547 (35.934) Prec@5 59.375 (61.696)
Epoch: [14][4070/5005] Time 0.212 (0.224) Data 0.042 (0.076) Loss 3.1773 (2.9568) Prec@1 33.594 (35.933) Prec@5 62.891 (61.696)
Epoch: [14][4080/5005] Time 0.200 (0.224) Data 0.043 (0.076) Loss 2.8518 (2.9569) Prec@1 37.500 (35.934) Prec@5 64.453 (61.696)
Epoch: [14][4090/5005] Time 0.205 (0.224) Data 0.044 (0.076) Loss 2.8515 (2.9567) Prec@1 36.719 (35.935) Prec@5 65.625 (61.700)
Epoch: [14][4100/5005] Time 0.378 (0.224) Data 0.289 (0.076) Loss 2.8795 (2.9567) Prec@1 33.984 (35.936) Prec@5 63.281 (61.701)
Epoch: [14][4110/5005] Time 0.196 (0.224) Data 0.108 (0.076) Loss 3.0961 (2.9567) Prec@1 32.812 (35.934) Prec@5 64.453 (61.704)
Epoch: [14][4120/5005] Time 0.204 (0.224) Data 0.055 (0.076) Loss 3.0068 (2.9565) Prec@1 34.766 (35.936) Prec@5 60.938 (61.705)
Epoch: [14][4130/5005] Time 0.195 (0.224) Data 0.049 (0.076) Loss 3.1590 (2.9565) Prec@1 35.156 (35.936) Prec@5 56.641 (61.702)
Epoch: [14][4140/5005] Time 0.499 (0.224) Data 0.407 (0.076) Loss 2.9300 (2.9564) Prec@1 36.328 (35.938) Prec@5 62.109 (61.704)
Epoch: [14][4150/5005] Time 0.213 (0.224) Data 0.045 (0.076) Loss 3.0844 (2.9565) Prec@1 35.156 (35.940) Prec@5 60.547 (61.702)
Epoch: [14][4160/5005] Time 0.235 (0.224) Data 0.147 (0.076) Loss 2.9000 (2.9566) Prec@1 37.109 (35.939) Prec@5 65.625 (61.702)
Epoch: [14][4170/5005] Time 0.203 (0.224) Data 0.045 (0.076) Loss 2.8798 (2.9565) Prec@1 31.250 (35.943) Prec@5 62.891 (61.704)
Epoch: [14][4180/5005] Time 0.198 (0.224) Data 0.049 (0.076) Loss 2.8930 (2.9565) Prec@1 39.062 (35.945) Prec@5 65.625 (61.705)
Epoch: [14][4190/5005] Time 0.198 (0.224) Data 0.087 (0.076) Loss 2.9817 (2.9566) Prec@1 37.500 (35.944) Prec@5 62.109 (61.703)
Epoch: [14][4200/5005] Time 0.201 (0.224) Data 0.057 (0.076) Loss 2.8214 (2.9566) Prec@1 39.453 (35.942) Prec@5 62.891 (61.702)
Epoch: [14][4210/5005] Time 0.207 (0.224) Data 0.048 (0.076) Loss 2.9330 (2.9566) Prec@1 35.156 (35.942) Prec@5 63.672 (61.705)
Epoch: [14][4220/5005] Time 0.193 (0.224) Data 0.046 (0.076) Loss 3.2086 (2.9568) Prec@1 29.297 (35.940) Prec@5 59.375 (61.702)
Epoch: [14][4230/5005] Time 0.197 (0.224) Data 0.084 (0.076) Loss 2.9790 (2.9568) Prec@1 35.156 (35.939) Prec@5 62.891 (61.703)
Epoch: [14][4240/5005] Time 0.203 (0.224) Data 0.067 (0.076) Loss 2.7499 (2.9569) Prec@1 36.719 (35.937) Prec@5 63.672 (61.704)
Epoch: [14][4250/5005] Time 0.194 (0.224) Data 0.051 (0.076) Loss 2.7812 (2.9568) Prec@1 43.359 (35.939) Prec@5 63.672 (61.705)
Epoch: [14][4260/5005] Time 0.192 (0.224) Data 0.116 (0.076) Loss 2.9585 (2.9569) Prec@1 35.156 (35.935) Prec@5 60.938 (61.703)
Epoch: [14][4270/5005] Time 0.326 (0.224) Data 0.245 (0.076) Loss 3.1261 (2.9570) Prec@1 34.766 (35.933) Prec@5 60.547 (61.701)
Epoch: [14][4280/5005] Time 0.202 (0.224) Data 0.086 (0.076) Loss 3.0232 (2.9570) Prec@1 33.594 (35.936) Prec@5 58.203 (61.701)
Epoch: [14][4290/5005] Time 0.210 (0.224) Data 0.047 (0.076) Loss 3.1555 (2.9571) Prec@1 33.203 (35.935) Prec@5 56.250 (61.698)
Epoch: [14][4300/5005] Time 0.718 (0.224) Data 0.636 (0.077) Loss 2.6138 (2.9569) Prec@1 40.234 (35.937) Prec@5 71.094 (61.702)
Epoch: [14][4310/5005] Time 0.201 (0.224) Data 0.045 (0.076) Loss 2.8537 (2.9570) Prec@1 37.500 (35.938) Prec@5 64.844 (61.702)
Epoch: [14][4320/5005] Time 0.202 (0.224) Data 0.048 (0.076) Loss 2.9175 (2.9571) Prec@1 35.547 (35.935) Prec@5 61.719 (61.699)
Epoch: [14][4330/5005] Time 0.196 (0.224) Data 0.055 (0.076) Loss 2.8717 (2.9571) Prec@1 40.234 (35.937) Prec@5 61.328 (61.700)
Epoch: [14][4340/5005] Time 0.784 (0.224) Data 0.696 (0.077) Loss 2.9790 (2.9571) Prec@1 37.500 (35.936) Prec@5 60.547 (61.698)
Epoch: [14][4350/5005] Time 0.196 (0.224) Data 0.054 (0.077) Loss 3.0294 (2.9571) Prec@1 33.594 (35.936) Prec@5 61.328 (61.698)
Epoch: [14][4360/5005] Time 0.196 (0.224) Data 0.050 (0.077) Loss 2.9327 (2.9570) Prec@1 32.422 (35.937) Prec@5 60.156 (61.700)
Epoch: [14][4370/5005] Time 0.208 (0.224) Data 0.042 (0.077) Loss 2.9844 (2.9570) Prec@1 33.203 (35.940) Prec@5 58.594 (61.700)
Epoch: [14][4380/5005] Time 0.196 (0.224) Data 0.040 (0.077) Loss 3.0654 (2.9570) Prec@1 37.109 (35.941) Prec@5 59.375 (61.700)
Epoch: [14][4390/5005] Time 0.305 (0.224) Data 0.226 (0.077) Loss 3.0995 (2.9569) Prec@1 34.766 (35.944) Prec@5 57.031 (61.702)
Epoch: [14][4400/5005] Time 0.202 (0.224) Data 0.047 (0.077) Loss 2.8363 (2.9569) Prec@1 35.156 (35.942) Prec@5 62.500 (61.700)
Epoch: [14][4410/5005] Time 0.201 (0.224) Data 0.045 (0.077) Loss 3.0558 (2.9569) Prec@1 34.375 (35.941) Prec@5 59.766 (61.699)
Epoch: [14][4420/5005] Time 0.275 (0.224) Data 0.189 (0.077) Loss 2.6626 (2.9568) Prec@1 42.578 (35.942) Prec@5 65.234 (61.699)
Epoch: [14][4430/5005] Time 0.198 (0.224) Data 0.055 (0.077) Loss 3.0521 (2.9566) Prec@1 33.203 (35.945) Prec@5 58.203 (61.701)
Epoch: [14][4440/5005] Time 0.211 (0.224) Data 0.043 (0.077) Loss 3.0894 (2.9566) Prec@1 31.641 (35.946) Prec@5 60.156 (61.705)
Epoch: [14][4450/5005] Time 0.209 (0.224) Data 0.037 (0.077) Loss 2.8704 (2.9565) Prec@1 33.203 (35.946) Prec@5 63.672 (61.705)
Epoch: [14][4460/5005] Time 0.205 (0.224) Data 0.045 (0.077) Loss 2.9432 (2.9565) Prec@1 37.500 (35.948) Prec@5 61.328 (61.704)
Epoch: [14][4470/5005] Time 0.401 (0.224) Data 0.313 (0.077) Loss 2.9482 (2.9565) Prec@1 28.906 (35.945) Prec@5 62.500 (61.704)
Epoch: [14][4480/5005] Time 0.204 (0.224) Data 0.050 (0.077) Loss 2.7934 (2.9566) Prec@1 39.453 (35.946) Prec@5 62.891 (61.703)
Epoch: [14][4490/5005] Time 0.197 (0.224) Data 0.045 (0.077) Loss 3.0821 (2.9566) Prec@1 32.422 (35.944) Prec@5 60.547 (61.702)
Epoch: [14][4500/5005] Time 0.252 (0.224) Data 0.162 (0.077) Loss 2.7895 (2.9567) Prec@1 40.234 (35.943) Prec@5 65.234 (61.702)
Epoch: [14][4510/5005] Time 0.208 (0.224) Data 0.054 (0.077) Loss 2.8041 (2.9566) Prec@1 39.453 (35.944) Prec@5 64.844 (61.701)
Epoch: [14][4520/5005] Time 0.403 (0.224) Data 0.316 (0.077) Loss 2.9373 (2.9565) Prec@1 36.719 (35.946) Prec@5 64.453 (61.703)
Epoch: [14][4530/5005] Time 0.201 (0.224) Data 0.044 (0.077) Loss 2.7994 (2.9565) Prec@1 39.844 (35.945) Prec@5 65.234 (61.704)
Epoch: [14][4540/5005] Time 0.200 (0.224) Data 0.047 (0.077) Loss 3.1402 (2.9568) Prec@1 33.203 (35.943) Prec@5 59.766 (61.701)
Epoch: [14][4550/5005] Time 0.318 (0.224) Data 0.229 (0.077) Loss 3.0190 (2.9568) Prec@1 37.109 (35.944) Prec@5 60.547 (61.700)
Epoch: [14][4560/5005] Time 0.202 (0.224) Data 0.054 (0.077) Loss 2.9424 (2.9567) Prec@1 37.500 (35.946) Prec@5 63.672 (61.701)
Epoch: [14][4570/5005] Time 0.203 (0.224) Data 0.048 (0.077) Loss 2.9970 (2.9566) Prec@1 40.234 (35.948) Prec@5 60.547 (61.702)
Epoch: [14][4580/5005] Time 0.207 (0.224) Data 0.051 (0.077) Loss 3.1012 (2.9565) Prec@1 29.297 (35.950) Prec@5 59.375 (61.704)
Epoch: [14][4590/5005] Time 0.199 (0.224) Data 0.046 (0.077) Loss 2.8380 (2.9566) Prec@1 39.453 (35.949) Prec@5 66.797 (61.702)
Epoch: [14][4600/5005] Time 0.199 (0.224) Data 0.050 (0.077) Loss 2.7379 (2.9567) Prec@1 36.328 (35.948) Prec@5 66.406 (61.700)
Epoch: [14][4610/5005] Time 0.401 (0.224) Data 0.313 (0.077) Loss 2.7378 (2.9565) Prec@1 36.328 (35.950) Prec@5 64.453 (61.701)
Epoch: [14][4620/5005] Time 0.205 (0.224) Data 0.043 (0.077) Loss 2.7971 (2.9565) Prec@1 40.625 (35.953) Prec@5 63.281 (61.702)
Epoch: [14][4630/5005] Time 0.195 (0.224) Data 0.053 (0.077) Loss 2.7935 (2.9564) Prec@1 38.672 (35.955) Prec@5 64.844 (61.703)
Epoch: [14][4640/5005] Time 0.203 (0.224) Data 0.040 (0.077) Loss 3.0605 (2.9563) Prec@1 35.938 (35.957) Prec@5 59.766 (61.705)
Epoch: [14][4650/5005] Time 0.197 (0.224) Data 0.049 (0.077) Loss 2.9529 (2.9562) Prec@1 32.031 (35.957) Prec@5 62.109 (61.707)
Epoch: [14][4660/5005] Time 0.382 (0.224) Data 0.293 (0.077) Loss 3.2703 (2.9563) Prec@1 27.344 (35.956) Prec@5 55.469 (61.706)
Epoch: [14][4670/5005] Time 0.203 (0.224) Data 0.052 (0.077) Loss 2.9332 (2.9562) Prec@1 37.891 (35.955) Prec@5 61.328 (61.707)
Epoch: [14][4680/5005] Time 0.206 (0.224) Data 0.046 (0.077) Loss 2.8375 (2.9561) Prec@1 36.719 (35.955) Prec@5 62.500 (61.708)
Epoch: [14][4690/5005] Time 0.200 (0.224) Data 0.040 (0.077) Loss 3.0284 (2.9561) Prec@1 32.812 (35.955) Prec@5 58.984 (61.709)
Epoch: [14][4700/5005] Time 0.203 (0.224) Data 0.043 (0.077) Loss 2.9717 (2.9561) Prec@1 39.062 (35.959) Prec@5 61.719 (61.709)
Epoch: [14][4710/5005] Time 0.210 (0.224) Data 0.051 (0.077) Loss 2.9390 (2.9559) Prec@1 35.938 (35.961) Prec@5 60.938 (61.713)
Epoch: [14][4720/5005] Time 0.211 (0.224) Data 0.047 (0.077) Loss 2.8223 (2.9559) Prec@1 37.109 (35.960) Prec@5 64.453 (61.712)
Epoch: [14][4730/5005] Time 0.214 (0.224) Data 0.048 (0.077) Loss 3.0334 (2.9561) Prec@1 35.547 (35.956) Prec@5 55.469 (61.707)
Epoch: [14][4740/5005] Time 0.202 (0.224) Data 0.043 (0.077) Loss 2.8873 (2.9560) Prec@1 36.719 (35.958) Prec@5 60.547 (61.710)
Epoch: [14][4750/5005] Time 0.423 (0.224) Data 0.348 (0.077) Loss 2.7808 (2.9560) Prec@1 39.844 (35.961) Prec@5 62.500 (61.710)
Epoch: [14][4760/5005] Time 0.193 (0.224) Data 0.051 (0.077) Loss 3.3195 (2.9559) Prec@1 30.469 (35.962) Prec@5 55.859 (61.709)
Epoch: [14][4770/5005] Time 0.209 (0.224) Data 0.045 (0.077) Loss 2.8580 (2.9559) Prec@1 35.547 (35.963) Prec@5 67.188 (61.709)
Epoch: [14][4780/5005] Time 0.235 (0.224) Data 0.155 (0.077) Loss 3.0320 (2.9559) Prec@1 31.250 (35.963) Prec@5 62.891 (61.710)
Epoch: [14][4790/5005] Time 0.196 (0.224) Data 0.054 (0.077) Loss 3.1970 (2.9560) Prec@1 34.375 (35.962) Prec@5 57.422 (61.710)
Epoch: [14][4800/5005] Time 0.194 (0.224) Data 0.073 (0.077) Loss 3.0483 (2.9559) Prec@1 35.938 (35.962) Prec@5 62.891 (61.714)
Epoch: [14][4810/5005] Time 0.199 (0.224) Data 0.044 (0.077) Loss 3.1235 (2.9559) Prec@1 33.594 (35.961) Prec@5 60.547 (61.713)
Epoch: [14][4820/5005] Time 0.203 (0.224) Data 0.055 (0.077) Loss 3.0906 (2.9557) Prec@1 32.812 (35.964) Prec@5 58.203 (61.716)
Epoch: [14][4830/5005] Time 0.194 (0.224) Data 0.045 (0.078) Loss 2.9882 (2.9556) Prec@1 34.766 (35.966) Prec@5 56.641 (61.717)
Epoch: [14][4840/5005] Time 0.194 (0.224) Data 0.042 (0.077) Loss 2.7160 (2.9557) Prec@1 41.797 (35.964) Prec@5 65.234 (61.717)
Epoch: [14][4850/5005] Time 0.201 (0.224) Data 0.046 (0.077) Loss 2.9596 (2.9558) Prec@1 35.547 (35.963) Prec@5 60.938 (61.713)
Epoch: [14][4860/5005] Time 0.196 (0.224) Data 0.048 (0.077) Loss 2.9822 (2.9558) Prec@1 33.984 (35.962) Prec@5 61.328 (61.714)
Epoch: [14][4870/5005] Time 0.204 (0.224) Data 0.064 (0.077) Loss 2.7433 (2.9558) Prec@1 41.406 (35.964) Prec@5 65.234 (61.713)
Epoch: [14][4880/5005] Time 0.203 (0.224) Data 0.048 (0.077) Loss 2.7354 (2.9557) Prec@1 38.281 (35.967) Prec@5 62.891 (61.716)
Epoch: [14][4890/5005] Time 0.210 (0.224) Data 0.046 (0.077) Loss 2.9607 (2.9556) Prec@1 35.547 (35.968) Prec@5 58.984 (61.717)
Epoch: [14][4900/5005] Time 0.205 (0.224) Data 0.043 (0.077) Loss 2.6939 (2.9555) Prec@1 37.109 (35.971) Prec@5 66.797 (61.720)
Epoch: [14][4910/5005] Time 0.219 (0.224) Data 0.048 (0.077) Loss 2.9529 (2.9554) Prec@1 34.766 (35.972) Prec@5 63.672 (61.722)
Epoch: [14][4920/5005] Time 0.189 (0.224) Data 0.043 (0.078) Loss 3.0039 (2.9553) Prec@1 33.203 (35.972) Prec@5 59.766 (61.723)
Epoch: [14][4930/5005] Time 0.276 (0.224) Data 0.192 (0.078) Loss 2.8669 (2.9552) Prec@1 39.844 (35.973) Prec@5 64.062 (61.726)
Epoch: [14][4940/5005] Time 0.201 (0.224) Data 0.056 (0.078) Loss 2.9889 (2.9552) Prec@1 38.281 (35.972) Prec@5 60.547 (61.725)
Epoch: [14][4950/5005] Time 0.196 (0.225) Data 0.045 (0.078) Loss 2.7011 (2.9553) Prec@1 43.750 (35.972) Prec@5 63.281 (61.724)
Epoch: [14][4960/5005] Time 0.195 (0.224) Data 0.061 (0.078) Loss 3.0629 (2.9553) Prec@1 35.938 (35.972) Prec@5 60.156 (61.726)
Epoch: [14][4970/5005] Time 0.326 (0.224) Data 0.243 (0.078) Loss 3.1171 (2.9554) Prec@1 35.156 (35.971) Prec@5 60.938 (61.726)
Epoch: [14][4980/5005] Time 0.207 (0.224) Data 0.044 (0.078) Loss 3.1468 (2.9553) Prec@1 34.375 (35.973) Prec@5 59.766 (61.729)
Epoch: [14][4990/5005] Time 0.202 (0.224) Data 0.025 (0.078) Loss 3.1652 (2.9552) Prec@1 32.031 (35.975) Prec@5 56.641 (61.731)
Epoch: [14][5000/5005] Time 0.205 (0.224) Data 0.030 (0.078) Loss 3.0149 (2.9552) Prec@1 34.766 (35.976) Prec@5 60.156 (61.729)
Test: [0/196] Time 2.602 (2.602) Loss 2.9747 (2.9747) Prec@1 36.719 (36.719) Prec@5 61.719 (61.719)
Test: [10/196] Time 0.048 (0.405) Loss 3.0138 (3.0720) Prec@1 35.938 (34.482) Prec@5 61.719 (60.440)
Test: [20/196] Time 0.045 (0.303) Loss 2.9711 (3.0623) Prec@1 35.547 (34.170) Prec@5 57.812 (60.379)
Test: [30/196] Time 0.157 (0.269) Loss 3.0626 (3.0849) Prec@1 33.984 (33.720) Prec@5 60.156 (59.640)
Test: [40/196] Time 1.271 (0.278) Loss 2.8835 (3.0858) Prec@1 39.844 (33.946) Prec@5 64.062 (59.623)
Test: [50/196] Time 0.052 (0.268) Loss 3.1438 (3.0846) Prec@1 32.812 (34.138) Prec@5 62.109 (59.842)
Test: [60/196] Time 0.196 (0.251) Loss 2.9022 (3.0697) Prec@1 41.406 (34.503) Prec@5 59.766 (60.067)
Test: [70/196] Time 0.044 (0.246) Loss 2.9799 (3.0608) Prec@1 33.594 (34.540) Prec@5 62.891 (60.211)
Test: [80/196] Time 0.313 (0.242) Loss 2.8802 (3.0608) Prec@1 38.281 (34.722) Prec@5 65.234 (60.233)
Test: [90/196] Time 0.164 (0.241) Loss 3.1578 (3.0651) Prec@1 33.984 (34.598) Prec@5 62.109 (60.058)
Test: [100/196] Time 0.820 (0.245) Loss 3.2048 (3.0663) Prec@1 33.203 (34.688) Prec@5 60.547 (60.009)
Test: [110/196] Time 0.086 (0.241) Loss 3.2584 (3.0684) Prec@1 33.594 (34.653) Prec@5 56.250 (59.956)
Test: [120/196] Time 0.043 (0.236) Loss 2.9131 (3.0660) Prec@1 34.766 (34.653) Prec@5 61.328 (60.008)
Test: [130/196] Time 0.644 (0.237) Loss 2.7753 (3.0616) Prec@1 35.938 (34.715) Prec@5 65.625 (60.064)
Test: [140/196] Time 0.659 (0.237) Loss 2.8177 (3.0615) Prec@1 40.234 (34.743) Prec@5 64.062 (60.034)
Test: [150/196] Time 0.043 (0.237) Loss 2.8948 (3.0619) Prec@1 35.156 (34.791) Prec@5 65.625 (60.079)
Test: [160/196] Time 0.044 (0.235) Loss 2.9558 (3.0594) Prec@1 40.625 (34.836) Prec@5 60.547 (60.081)
Test: [170/196] Time 0.555 (0.236) Loss 2.8877 (3.0606) Prec@1 39.453 (34.882) Prec@5 65.234 (60.047)
Test: [180/196] Time 0.042 (0.235) Loss 3.1865 (3.0649) Prec@1 30.859 (34.763) Prec@5 58.203 (60.005)
Test: [190/196] Time 0.165 (0.233) Loss 3.3542 (3.0682) Prec@1 30.078 (34.725) Prec@5 52.734 (59.946)
* Prec@1 34.706 Prec@5 59.942
Learning rate: 0.001
Epoch: [15][0/5005] Time 1.940 (1.940) Data 1.851 (1.851) Loss 2.8147 (2.8147) Prec@1 35.156 (35.156) Prec@5 66.016 (66.016)
Epoch: [15][10/5005] Time 0.202 (0.358) Data 0.039 (0.218) Loss 2.8343 (2.9114) Prec@1 35.156 (35.831) Prec@5 67.188 (63.423)
Epoch: [15][20/5005] Time 0.200 (0.284) Data 0.060 (0.138) Loss 2.9690 (2.9412) Prec@1 35.938 (35.398) Prec@5 64.453 (62.909)
Epoch: [15][30/5005] Time 0.195 (0.257) Data 0.051 (0.110) Loss 2.9495 (2.9159) Prec@1 35.547 (36.177) Prec@5 61.328 (63.117)
Epoch: [15][40/5005] Time 0.205 (0.243) Data 0.040 (0.094) Loss 2.9440 (2.9248) Prec@1 35.547 (36.195) Prec@5 58.594 (62.957)
Epoch: [15][50/5005] Time 0.205 (0.235) Data 0.049 (0.085) Loss 2.8475 (2.9208) Prec@1 40.234 (36.359) Prec@5 61.328 (62.607)
Epoch: [15][60/5005] Time 0.195 (0.229) Data 0.052 (0.079) Loss 2.8542 (2.9222) Prec@1 38.281 (36.270) Prec@5 67.188 (62.494)
Epoch: [15][70/5005] Time 0.203 (0.225) Data 0.042 (0.074) Loss 2.8252 (2.9311) Prec@1 35.156 (36.092) Prec@5 63.672 (62.192)
Epoch: [15][80/5005] Time 0.193 (0.222) Data 0.046 (0.070) Loss 2.9312 (2.9280) Prec@1 35.938 (35.991) Prec@5 60.938 (62.220)
Epoch: [15][90/5005] Time 0.196 (0.220) Data 0.045 (0.068) Loss 3.0627 (2.9251) Prec@1 35.156 (36.088) Prec@5 62.500 (62.303)
Epoch: [15][100/5005] Time 0.206 (0.218) Data 0.046 (0.066) Loss 2.7000 (2.9237) Prec@1 41.016 (36.181) Prec@5 69.141 (62.372)
Epoch: [15][110/5005] Time 0.200 (0.216) Data 0.054 (0.064) Loss 2.9210 (2.9269) Prec@1 38.281 (36.219) Prec@5 61.719 (62.310)
Epoch: [15][120/5005] Time 0.205 (0.215) Data 0.045 (0.063) Loss 2.8960 (2.9297) Prec@1 35.547 (36.228) Prec@5 62.109 (62.261)
Epoch: [15][130/5005] Time 0.210 (0.214) Data 0.044 (0.063) Loss 2.9356 (2.9293) Prec@1 36.719 (36.239) Prec@5 61.719 (62.300)
Epoch: [15][140/5005] Time 0.203 (0.216) Data 0.042 (0.066) Loss 2.8694 (2.9273) Prec@1 33.594 (36.156) Prec@5 62.891 (62.292)
Epoch: [15][150/5005] Time 0.199 (0.219) Data 0.043 (0.069) Loss 3.0798 (2.9295) Prec@1 32.031 (36.126) Prec@5 58.203 (62.265)
Epoch: [15][160/5005] Time 0.295 (0.219) Data 0.211 (0.070) Loss 2.8045 (2.9320) Prec@1 33.594 (36.069) Prec@5 65.234 (62.270)
Epoch: [15][170/5005] Time 0.191 (0.222) Data 0.047 (0.074) Loss 2.9073 (2.9317) Prec@1 39.844 (36.088) Prec@5 63.672 (62.217)
Epoch: [15][180/5005] Time 0.210 (0.221) Data 0.039 (0.072) Loss 3.2827 (2.9350) Prec@1 32.031 (36.073) Prec@5 53.125 (62.140)
Epoch: [15][190/5005] Time 0.219 (0.222) Data 0.042 (0.073) Loss 3.0935 (2.9403) Prec@1 34.375 (36.042) Prec@5 57.812 (62.005)
Epoch: [15][200/5005] Time 0.366 (0.223) Data 0.281 (0.073) Loss 3.0854 (2.9429) Prec@1 35.156 (35.994) Prec@5 62.500 (61.958)
Epoch: [15][210/5005] Time 0.396 (0.224) Data 0.308 (0.074) Loss 2.7118 (2.9432) Prec@1 41.797 (35.930) Prec@5 63.672 (61.932)
Epoch: [15][220/5005] Time 0.221 (0.224) Data 0.052 (0.073) Loss 2.9637 (2.9431) Prec@1 36.719 (35.941) Prec@5 64.844 (61.957)
Epoch: [15][230/5005] Time 0.206 (0.224) Data 0.060 (0.074) Loss 2.8793 (2.9418) Prec@1 37.891 (35.978) Prec@5 60.156 (61.983)
Epoch: [15][240/5005] Time 0.199 (0.224) Data 0.054 (0.074) Loss 2.8353 (2.9415) Prec@1 39.453 (35.973) Prec@5 61.328 (61.962)
Epoch: [15][250/5005] Time 0.217 (0.226) Data 0.040 (0.076) Loss 3.0654 (2.9422) Prec@1 35.938 (35.973) Prec@5 60.547 (61.944)
Epoch: [15][260/5005] Time 0.198 (0.226) Data 0.054 (0.075) Loss 2.8035 (2.9419) Prec@1 36.328 (35.976) Prec@5 65.234 (61.979)
Epoch: [15][270/5005] Time 0.427 (0.227) Data 0.346 (0.078) Loss 2.9366 (2.9407) Prec@1 38.281 (36.011) Prec@5 64.453 (62.024)
Epoch: [15][280/5005] Time 0.317 (0.227) Data 0.230 (0.078) Loss 3.3749 (2.9433) Prec@1 31.250 (35.978) Prec@5 54.688 (61.994)
Epoch: [15][290/5005] Time 0.199 (0.227) Data 0.100 (0.079) Loss 2.7765 (2.9447) Prec@1 34.766 (35.943) Prec@5 66.406 (62.006)
Epoch: [15][300/5005] Time 0.208 (0.228) Data 0.050 (0.080) Loss 2.7555 (2.9449) Prec@1 37.109 (35.969) Prec@5 68.359 (62.028)
Epoch: [15][310/5005] Time 0.198 (0.229) Data 0.062 (0.080) Loss 2.8465 (2.9418) Prec@1 33.594 (36.037) Prec@5 62.500 (62.083)
Epoch: [15][320/5005] Time 0.206 (0.229) Data 0.099 (0.081) Loss 3.0818 (2.9418) Prec@1 33.203 (36.068) Prec@5 61.328 (62.055)
Epoch: [15][330/5005] Time 0.202 (0.230) Data 0.049 (0.082) Loss 2.6373 (2.9399) Prec@1 35.547 (36.091) Prec@5 66.016 (62.088)
Epoch: [15][340/5005] Time 0.199 (0.229) Data 0.064 (0.082) Loss 3.0258 (2.9441) Prec@1 33.594 (36.061) Prec@5 60.156 (62.026)
Epoch: [15][350/5005] Time 0.215 (0.229) Data 0.065 (0.082) Loss 3.2318 (2.9445) Prec@1 32.422 (36.064) Prec@5 58.203 (62.013)
Epoch: [15][360/5005] Time 0.209 (0.229) Data 0.041 (0.082) Loss 3.0327 (2.9437) Prec@1 36.328 (36.064) Prec@5 62.500 (62.013)
Epoch: [15][370/5005] Time 0.213 (0.228) Data 0.041 (0.080) Loss 2.8813 (2.9412) Prec@1 37.500 (36.114) Prec@5 63.281 (62.069)
Epoch: [15][380/5005] Time 0.217 (0.228) Data 0.039 (0.079) Loss 3.0823 (2.9416) Prec@1 37.109 (36.132) Prec@5 57.422 (62.032)
Epoch: [15][390/5005] Time 0.213 (0.228) Data 0.048 (0.079) Loss 2.8651 (2.9415) Prec@1 39.453 (36.128) Prec@5 63.672 (62.021)
Epoch: [15][400/5005] Time 0.203 (0.227) Data 0.045 (0.078) Loss 2.9008 (2.9403) Prec@1 35.938 (36.147) Prec@5 61.719 (62.056)
Epoch: [15][410/5005] Time 0.210 (0.227) Data 0.040 (0.077) Loss 2.7041 (2.9396) Prec@1 41.406 (36.187) Prec@5 63.281 (62.059)
Epoch: [15][420/5005] Time 0.221 (0.227) Data 0.042 (0.076) Loss 2.7633 (2.9400) Prec@1 41.016 (36.171) Prec@5 66.016 (62.054)
Epoch: [15][430/5005] Time 0.203 (0.226) Data 0.045 (0.076) Loss 2.8134 (2.9395) Prec@1 41.797 (36.184) Prec@5 62.891 (62.043)
Epoch: [15][440/5005] Time 0.215 (0.226) Data 0.047 (0.075) Loss 2.8750 (2.9390) Prec@1 40.234 (36.198) Prec@5 60.938 (62.045)
Epoch: [15][450/5005] Time 0.219 (0.226) Data 0.040 (0.074) Loss 2.8972 (2.9403) Prec@1 34.766 (36.165) Prec@5 63.672 (62.031)
Epoch: [15][460/5005] Time 0.208 (0.226) Data 0.044 (0.074) Loss 3.1398 (2.9409) Prec@1 32.031 (36.111) Prec@5 56.641 (62.027)
Epoch: [15][470/5005] Time 0.218 (0.225) Data 0.041 (0.073) Loss 2.9477 (2.9425) Prec@1 33.594 (36.087) Prec@5 61.719 (61.992)
Epoch: [15][480/5005] Time 0.222 (0.225) Data 0.042 (0.072) Loss 2.9737 (2.9418) Prec@1 36.719 (36.108) Prec@5 65.234 (62.003)
Epoch: [15][490/5005] Time 0.208 (0.225) Data 0.042 (0.072) Loss 2.9810 (2.9424) Prec@1 39.062 (36.095) Prec@5 64.062 (62.001)
Epoch: [15][500/5005] Time 0.218 (0.225) Data 0.042 (0.071) Loss 3.2234 (2.9451) Prec@1 36.719 (36.074) Prec@5 57.031 (61.943)
Epoch: [15][510/5005] Time 0.198 (0.225) Data 0.061 (0.071) Loss 3.1668 (2.9460) Prec@1 32.812 (36.064) Prec@5 54.688 (61.929)
Epoch: [15][520/5005] Time 0.206 (0.225) Data 0.040 (0.070) Loss 2.9892 (2.9465) Prec@1 35.156 (36.063) Prec@5 58.594 (61.918)
Epoch: [15][530/5005] Time 0.204 (0.224) Data 0.041 (0.070) Loss 3.0149 (2.9460) Prec@1 35.547 (36.070) Prec@5 58.984 (61.925)
Epoch: [15][540/5005] Time 0.218 (0.224) Data 0.042 (0.069) Loss 3.0527 (2.9458) Prec@1 34.375 (36.067) Prec@5 58.594 (61.946)
Epoch: [15][550/5005] Time 0.211 (0.224) Data 0.045 (0.069) Loss 3.0330 (2.9455) Prec@1 32.812 (36.079) Prec@5 61.719 (61.934)
Epoch: [15][560/5005] Time 0.213 (0.224) Data 0.045 (0.068) Loss 2.9127 (2.9455) Prec@1 35.156 (36.096) Prec@5 64.844 (61.934)
Epoch: [15][570/5005] Time 0.212 (0.224) Data 0.039 (0.068) Loss 2.9993 (2.9467) Prec@1 33.203 (36.087) Prec@5 63.281 (61.897)
Epoch: [15][580/5005] Time 0.212 (0.223) Data 0.055 (0.068) Loss 2.9584 (2.9460) Prec@1 36.328 (36.086) Prec@5 61.328 (61.912)
Epoch: [15][590/5005] Time 0.209 (0.223) Data 0.042 (0.067) Loss 3.0625 (2.9461) Prec@1 31.641 (36.074) Prec@5 58.203 (61.907)
Epoch: [15][600/5005] Time 0.206 (0.223) Data 0.045 (0.067) Loss 2.9691 (2.9472) Prec@1 35.938 (36.048) Prec@5 62.891 (61.898)
Epoch: [15][610/5005] Time 0.220 (0.223) Data 0.048 (0.067) Loss 2.8106 (2.9474) Prec@1 37.891 (36.036) Prec@5 62.891 (61.889)
Epoch: [15][620/5005] Time 0.209 (0.222) Data 0.047 (0.066) Loss 2.7452 (2.9470) Prec@1 41.016 (36.049) Prec@5 62.500 (61.903)
Epoch: [15][630/5005] Time 0.222 (0.222) Data 0.041 (0.066) Loss 3.1547 (2.9466) Prec@1 35.156 (36.068) Prec@5 58.594 (61.909)
Epoch: [15][640/5005] Time 0.205 (0.222) Data 0.041 (0.066) Loss 2.8557 (2.9465) Prec@1 36.328 (36.077) Prec@5 63.281 (61.920)
Epoch: [15][650/5005] Time 0.220 (0.222) Data 0.045 (0.065) Loss 3.1301 (2.9476) Prec@1 37.500 (36.076) Prec@5 58.203 (61.888)
Epoch: [15][660/5005] Time 0.217 (0.222) Data 0.048 (0.065) Loss 3.0073 (2.9474) Prec@1 31.641 (36.070) Prec@5 62.891 (61.905)
Epoch: [15][670/5005] Time 0.215 (0.222) Data 0.043 (0.065) Loss 3.1900 (2.9479) Prec@1 32.422 (36.057) Prec@5 59.766 (61.890)
Epoch: [15][680/5005] Time 0.216 (0.222) Data 0.044 (0.065) Loss 3.0113 (2.9480) Prec@1 32.422 (36.041) Prec@5 61.719 (61.887)
Epoch: [15][690/5005] Time 0.214 (0.222) Data 0.052 (0.064) Loss 2.7845 (2.9475) Prec@1 34.375 (36.040) Prec@5 67.969 (61.906)
Epoch: [15][700/5005] Time 0.219 (0.221) Data 0.041 (0.064) Loss 3.0953 (2.9476) Prec@1 33.594 (36.033) Prec@5 57.422 (61.895)
Epoch: [15][710/5005] Time 0.212 (0.221) Data 0.045 (0.064) Loss 2.9044 (2.9478) Prec@1 36.328 (36.036) Prec@5 60.938 (61.885)
Epoch: [15][720/5005] Time 0.209 (0.221) Data 0.040 (0.064) Loss 2.8583 (2.9471) Prec@1 33.984 (36.052) Prec@5 66.406 (61.896)
Epoch: [15][730/5005] Time 0.203 (0.221) Data 0.042 (0.063) Loss 3.1135 (2.9477) Prec@1 33.594 (36.050) Prec@5 59.375 (61.881)
Epoch: [15][740/5005] Time 0.195 (0.221) Data 0.047 (0.063) Loss 3.0815 (2.9477) Prec@1 35.547 (36.059) Prec@5 60.156 (61.882)
Epoch: [15][750/5005] Time 0.204 (0.221) Data 0.049 (0.063) Loss 2.8220 (2.9474) Prec@1 36.719 (36.061) Prec@5 62.109 (61.887)
Epoch: [15][760/5005] Time 0.203 (0.221) Data 0.043 (0.063) Loss 3.0466 (2.9477) Prec@1 30.859 (36.045) Prec@5 60.156 (61.871)
Epoch: [15][770/5005] Time 0.209 (0.221) Data 0.041 (0.063) Loss 3.0194 (2.9468) Prec@1 33.984 (36.054) Prec@5 57.422 (61.891)
Epoch: [15][780/5005] Time 0.207 (0.221) Data 0.065 (0.062) Loss 2.9459 (2.9461) Prec@1 38.281 (36.064) Prec@5 62.109 (61.896)
Epoch: [15][790/5005] Time 0.204 (0.220) Data 0.046 (0.062) Loss 2.7973 (2.9456) Prec@1 39.844 (36.069) Prec@5 64.453 (61.907)
Epoch: [15][800/5005] Time 0.421 (0.220) Data 0.333 (0.063) Loss 2.7836 (2.9451) Prec@1 35.156 (36.078) Prec@5 63.672 (61.919)
Epoch: [15][810/5005] Time 0.207 (0.221) Data 0.045 (0.063) Loss 2.9807 (2.9451) Prec@1 31.250 (36.072) Prec@5 58.984 (61.916)
Epoch: [15][820/5005] Time 0.203 (0.221) Data 0.044 (0.063) Loss 3.0601 (2.9455) Prec@1 36.719 (36.079) Prec@5 61.328 (61.915)
Epoch: [15][830/5005] Time 0.204 (0.221) Data 0.044 (0.064) Loss 2.9042 (2.9456) Prec@1 38.281 (36.070) Prec@5 62.891 (61.923)
Epoch: [15][840/5005] Time 0.203 (0.221) Data 0.040 (0.064) Loss 2.8780 (2.9454) Prec@1 39.453 (36.077) Prec@5 62.109 (61.932)
Epoch: [15][850/5005] Time 0.482 (0.221) Data 0.389 (0.064) Loss 3.2079 (2.9451) Prec@1 33.203 (36.089) Prec@5 58.594 (61.922)
Epoch: [15][860/5005] Time 0.209 (0.221) Data 0.049 (0.064) Loss 2.9512 (2.9450) Prec@1 35.938 (36.098) Prec@5 60.938 (61.922)
Epoch: [15][870/5005] Time 0.203 (0.221) Data 0.048 (0.064) Loss 2.8989 (2.9440) Prec@1 37.500 (36.127) Prec@5 62.891 (61.941)
Epoch: [15][880/5005] Time 0.200 (0.221) Data 0.047 (0.064) Loss 2.8465 (2.9444) Prec@1 37.500 (36.132) Prec@5 59.766 (61.927)
Epoch: [15][890/5005] Time 0.211 (0.222) Data 0.043 (0.065) Loss 3.1527 (2.9443) Prec@1 35.156 (36.138) Prec@5 56.250 (61.917)
Epoch: [15][900/5005] Time 0.199 (0.221) Data 0.052 (0.064) Loss 2.9672 (2.9443) Prec@1 36.328 (36.127) Prec@5 61.328 (61.911)
Epoch: [15][910/5005] Time 0.215 (0.221) Data 0.043 (0.064) Loss 2.9207 (2.9442) Prec@1 34.375 (36.125) Prec@5 61.328 (61.902)
Epoch: [15][920/5005] Time 0.212 (0.221) Data 0.045 (0.065) Loss 2.8319 (2.9432) Prec@1 39.453 (36.141) Prec@5 62.109 (61.916)
Epoch: [15][930/5005] Time 0.202 (0.222) Data 0.044 (0.065) Loss 2.9288 (2.9427) Prec@1 35.547 (36.145) Prec@5 63.281 (61.923)
Epoch: [15][940/5005] Time 0.194 (0.222) Data 0.048 (0.066) Loss 2.7808 (2.9428) Prec@1 39.062 (36.153) Prec@5 66.016 (61.928)
Epoch: [15][950/5005] Time 0.203 (0.222) Data 0.052 (0.066) Loss 3.1212 (2.9437) Prec@1 30.078 (36.141) Prec@5 62.500 (61.920)
Epoch: [15][960/5005] Time 0.210 (0.224) Data 0.085 (0.068) Loss 3.2140 (2.9442) Prec@1 33.203 (36.127) Prec@5 59.375 (61.911)
Epoch: [15][970/5005] Time 0.198 (0.224) Data 0.046 (0.068) Loss 2.7977 (2.9442) Prec@1 36.328 (36.127) Prec@5 63.672 (61.905)
Epoch: [15][980/5005] Time 0.199 (0.224) Data 0.057 (0.069) Loss 2.7828 (2.9438) Prec@1 36.328 (36.131) Prec@5 62.891 (61.919)
Epoch: [15][990/5005] Time 0.206 (0.224) Data 0.042 (0.068) Loss 2.9282 (2.9440) Prec@1 37.109 (36.124) Prec@5 61.328 (61.911)
Epoch: [15][1000/5005] Time 0.202 (0.224) Data 0.046 (0.068) Loss 2.8436 (2.9433) Prec@1 36.719 (36.135) Prec@5 63.672 (61.924)
Epoch: [15][1010/5005] Time 0.202 (0.224) Data 0.042 (0.068) Loss 2.9057 (2.9430) Prec@1 37.500 (36.140) Prec@5 62.891 (61.929)
Epoch: [15][1020/5005] Time 0.203 (0.223) Data 0.043 (0.068) Loss 2.8252 (2.9431) Prec@1 39.062 (36.143) Prec@5 67.188 (61.923)
Epoch: [15][1030/5005] Time 0.204 (0.223) Data 0.043 (0.067) Loss 2.8822 (2.9428) Prec@1 36.719 (36.149) Prec@5 60.938 (61.923)
Epoch: [15][1040/5005] Time 0.211 (0.223) Data 0.042 (0.067) Loss 3.0122 (2.9427) Prec@1 32.812 (36.153) Prec@5 61.328 (61.926)
Epoch: [15][1050/5005] Time 0.203 (0.223) Data 0.044 (0.067) Loss 3.0415 (2.9434) Prec@1 34.766 (36.134) Prec@5 58.984 (61.905)
Epoch: [15][1060/5005] Time 0.213 (0.223) Data 0.043 (0.067) Loss 3.0472 (2.9438) Prec@1 37.109 (36.134) Prec@5 58.203 (61.900)
Epoch: [15][1070/5005] Time 0.212 (0.223) Data 0.043 (0.067) Loss 2.9391 (2.9439) Prec@1 34.375 (36.132) Prec@5 62.891 (61.904)
Epoch: [15][1080/5005] Time 0.207 (0.223) Data 0.049 (0.066) Loss 3.0119 (2.9441) Prec@1 35.156 (36.136) Prec@5 62.109 (61.907)
Epoch: [15][1090/5005] Time 0.215 (0.223) Data 0.047 (0.066) Loss 2.7925 (2.9438) Prec@1 39.844 (36.132) Prec@5 62.891 (61.917)
Epoch: [15][1100/5005] Time 0.211 (0.223) Data 0.053 (0.066) Loss 2.7068 (2.9437) Prec@1 42.969 (36.142) Prec@5 66.406 (61.904)
Epoch: [15][1110/5005] Time 0.214 (0.222) Data 0.042 (0.066) Loss 3.1180 (2.9441) Prec@1 34.375 (36.139) Prec@5 60.547 (61.900)
Epoch: [15][1120/5005] Time 0.197 (0.222) Data 0.046 (0.066) Loss 2.8333 (2.9432) Prec@1 38.281 (36.154) Prec@5 62.109 (61.916)
Epoch: [15][1130/5005] Time 0.216 (0.222) Data 0.049 (0.066) Loss 2.9441 (2.9436) Prec@1 35.156 (36.148) Prec@5 61.328 (61.912)
Epoch: [15][1140/5005] Time 0.201 (0.222) Data 0.056 (0.066) Loss 2.8979 (2.9430) Prec@1 36.328 (36.157) Prec@5 59.766 (61.925)
Epoch: [15][1150/5005] Time 0.204 (0.223) Data 0.042 (0.065) Loss 2.9755 (2.9426) Prec@1 33.594 (36.163) Prec@5 58.203 (61.930)
Epoch: [15][1160/5005] Time 0.203 (0.223) Data 0.039 (0.065) Loss 3.0706 (2.9427) Prec@1 36.328 (36.168) Prec@5 61.719 (61.922)
Epoch: [15][1170/5005] Time 0.205 (0.222) Data 0.048 (0.065) Loss 2.8044 (2.9424) Prec@1 35.547 (36.171) Prec@5 63.672 (61.923)
Epoch: [15][1180/5005] Time 0.202 (0.222) Data 0.047 (0.065) Loss 2.9730 (2.9421) Prec@1 39.844 (36.179) Prec@5 64.062 (61.929)
Epoch: [15][1190/5005] Time 0.207 (0.222) Data 0.047 (0.065) Loss 2.6859 (2.9423) Prec@1 37.891 (36.173) Prec@5 64.453 (61.927)
Epoch: [15][1200/5005] Time 0.214 (0.222) Data 0.043 (0.065) Loss 3.0021 (2.9424) Prec@1 33.984 (36.168) Prec@5 60.547 (61.924)
Epoch: [15][1210/5005] Time 0.207 (0.222) Data 0.038 (0.065) Loss 2.8634 (2.9428) Prec@1 37.500 (36.160) Prec@5 61.328 (61.920)
Epoch: [15][1220/5005] Time 0.211 (0.222) Data 0.041 (0.064) Loss 2.9318 (2.9434) Prec@1 35.938 (36.144) Prec@5 63.672 (61.914)
Epoch: [15][1230/5005] Time 0.211 (0.222) Data 0.048 (0.064) Loss 2.9326 (2.9435) Prec@1 39.453 (36.135) Prec@5 64.844 (61.910)
Epoch: [15][1240/5005] Time 0.258 (0.222) Data 0.174 (0.064) Loss 2.8541 (2.9433) Prec@1 37.891 (36.143) Prec@5 64.844 (61.913)
Epoch: [15][1250/5005] Time 0.210 (0.222) Data 0.042 (0.064) Loss 3.1324 (2.9436) Prec@1 33.203 (36.134) Prec@5 60.547 (61.911)
Epoch: [15][1260/5005] Time 0.210 (0.222) Data 0.041 (0.064) Loss 2.6845 (2.9431) Prec@1 39.062 (36.139) Prec@5 64.453 (61.919)
Epoch: [15][1270/5005] Time 0.203 (0.222) Data 0.043 (0.065) Loss 2.9942 (2.9436) Prec@1 36.719 (36.140) Prec@5 60.156 (61.908)
Epoch: [15][1280/5005] Time 0.201 (0.222) Data 0.057 (0.065) Loss 2.9528 (2.9443) Prec@1 32.031 (36.131) Prec@5 64.844 (61.896)
Epoch: [15][1290/5005] Time 0.203 (0.222) Data 0.043 (0.065) Loss 2.7346 (2.9437) Prec@1 45.312 (36.142) Prec@5 64.453 (61.908)
Epoch: [15][1300/5005] Time 0.203 (0.222) Data 0.059 (0.065) Loss 2.9273 (2.9435) Prec@1 37.109 (36.146) Prec@5 60.156 (61.917)
Epoch: [15][1310/5005] Time 0.202 (0.222) Data 0.048 (0.065) Loss 2.9869 (2.9435) Prec@1 34.766 (36.145) Prec@5 60.156 (61.922)
Epoch: [15][1320/5005] Time 0.204 (0.222) Data 0.047 (0.065) Loss 3.0146 (2.9433) Prec@1 35.938 (36.158) Prec@5 64.062 (61.932)
Epoch: [15][1330/5005] Time 0.207 (0.222) Data 0.048 (0.065) Loss 2.9331 (2.9437) Prec@1 36.719 (36.149) Prec@5 62.891 (61.926)
Epoch: [15][1340/5005] Time 0.209 (0.222) Data 0.042 (0.065) Loss 2.9273 (2.9434) Prec@1 37.109 (36.155) Prec@5 59.375 (61.933)
Epoch: [15][1350/5005] Time 0.209 (0.222) Data 0.045 (0.066) Loss 3.3019 (2.9438) Prec@1 31.250 (36.140) Prec@5 59.375 (61.932)
Epoch: [15][1360/5005] Time 0.202 (0.222) Data 0.049 (0.065) Loss 2.8268 (2.9439) Prec@1 42.578 (36.140) Prec@5 62.891 (61.923)
Epoch: [15][1370/5005] Time 0.205 (0.222) Data 0.043 (0.065) Loss 2.9498 (2.9434) Prec@1 37.109 (36.155) Prec@5 66.406 (61.934)
Epoch: [15][1380/5005] Time 0.197 (0.222) Data 0.051 (0.066) Loss 2.9658 (2.9435) Prec@1 38.281 (36.157) Prec@5 60.547 (61.930)
Epoch: [15][1390/5005] Time 0.348 (0.222) Data 0.263 (0.066) Loss 2.8242 (2.9437) Prec@1 39.844 (36.154) Prec@5 65.234 (61.927)
Epoch: [15][1400/5005] Time 0.214 (0.222) Data 0.135 (0.066) Loss 2.9140 (2.9432) Prec@1 37.109 (36.157) Prec@5 62.109 (61.936)
Epoch: [15][1410/5005] Time 0.203 (0.222) Data 0.042 (0.066) Loss 2.8798 (2.9425) Prec@1 38.281 (36.174) Prec@5 64.062 (61.948)
Epoch: [15][1420/5005] Time 0.192 (0.222) Data 0.058 (0.066) Loss 3.1536 (2.9426) Prec@1 35.156 (36.168) Prec@5 59.766 (61.949)
Epoch: [15][1430/5005] Time 0.197 (0.222) Data 0.091 (0.066) Loss 2.7408 (2.9421) Prec@1 39.844 (36.175) Prec@5 64.844 (61.958)
Epoch: [15][1440/5005] Time 0.398 (0.222) Data 0.314 (0.067) Loss 2.6985 (2.9418) Prec@1 37.500 (36.177) Prec@5 65.625 (61.968)
Epoch: [15][1450/5005] Time 0.188 (0.222) Data 0.042 (0.066) Loss 2.8321 (2.9418) Prec@1 40.234 (36.175) Prec@5 60.156 (61.964)
Epoch: [15][1460/5005] Time 0.192 (0.222) Data 0.062 (0.067) Loss 2.9610 (2.9418) Prec@1 35.938 (36.172) Prec@5 61.719 (61.961)
Epoch: [15][1470/5005] Time 0.285 (0.222) Data 0.208 (0.067) Loss 3.1072 (2.9421) Prec@1 33.984 (36.179) Prec@5 57.031 (61.953)
Epoch: [15][1480/5005] Time 0.214 (0.222) Data 0.081 (0.067) Loss 2.7751 (2.9423) Prec@1 35.547 (36.170) Prec@5 66.797 (61.951)
Epoch: [15][1490/5005] Time 0.206 (0.222) Data 0.050 (0.067) Loss 3.2120 (2.9422) Prec@1 32.422 (36.170) Prec@5 57.422 (61.956)
Epoch: [15][1500/5005] Time 0.199 (0.222) Data 0.042 (0.067) Loss 3.0870 (2.9423) Prec@1 34.766 (36.165) Prec@5 60.156 (61.960)
Epoch: [15][1510/5005] Time 0.207 (0.222) Data 0.045 (0.067) Loss 2.7522 (2.9419) Prec@1 39.844 (36.173) Prec@5 65.234 (61.968)
Epoch: [15][1520/5005] Time 0.213 (0.222) Data 0.044 (0.067) Loss 3.1650 (2.9419) Prec@1 28.516 (36.167) Prec@5 57.812 (61.964)
Epoch: [15][1530/5005] Time 0.211 (0.222) Data 0.047 (0.067) Loss 3.1721 (2.9418) Prec@1 31.250 (36.165) Prec@5 57.812 (61.959)
Epoch: [15][1540/5005] Time 0.215 (0.222) Data 0.042 (0.067) Loss 2.9602 (2.9419) Prec@1 38.281 (36.170) Prec@5 61.719 (61.962)
Epoch: [15][1550/5005] Time 0.205 (0.222) Data 0.045 (0.067) Loss 2.9926 (2.9415) Prec@1 33.203 (36.174) Prec@5 62.500 (61.969)
Epoch: [15][1560/5005] Time 0.201 (0.222) Data 0.054 (0.067) Loss 2.8037 (2.9415) Prec@1 40.625 (36.173) Prec@5 61.719 (61.973)
Epoch: [15][1570/5005] Time 0.196 (0.222) Data 0.101 (0.067) Loss 2.8983 (2.9413) Prec@1 39.453 (36.179) Prec@5 65.625 (61.975)
Epoch: [15][1580/5005] Time 0.189 (0.222) Data 0.066 (0.067) Loss 2.9545 (2.9417) Prec@1 38.281 (36.165) Prec@5 65.234 (61.964)
Epoch: [15][1590/5005] Time 0.211 (0.222) Data 0.046 (0.068) Loss 2.8872 (2.9416) Prec@1 37.109 (36.158) Prec@5 60.547 (61.963)
Epoch: [15][1600/5005] Time 0.210 (0.222) Data 0.047 (0.067) Loss 3.0251 (2.9419) Prec@1 35.938 (36.154) Prec@5 57.031 (61.958)
Epoch: [15][1610/5005] Time 1.574 (0.223) Data 1.488 (0.069) Loss 3.0889 (2.9419) Prec@1 36.328 (36.159) Prec@5 58.594 (61.961)
Epoch: [15][1620/5005] Time 0.202 (0.223) Data 0.048 (0.068) Loss 3.1088 (2.9418) Prec@1 36.328 (36.159) Prec@5 60.156 (61.963)
Epoch: [15][1630/5005] Time 0.201 (0.223) Data 0.040 (0.068) Loss 2.9517 (2.9420) Prec@1 37.500 (36.157) Prec@5 62.500 (61.955)
Epoch: [15][1640/5005] Time 0.202 (0.223) Data 0.045 (0.068) Loss 2.9989 (2.9423) Prec@1 37.109 (36.152) Prec@5 61.328 (61.948)
Epoch: [15][1650/5005] Time 0.286 (0.223) Data 0.197 (0.068) Loss 3.0143 (2.9424) Prec@1 35.156 (36.154) Prec@5 58.203 (61.949)
Epoch: [15][1660/5005] Time 0.201 (0.223) Data 0.049 (0.068) Loss 2.7783 (2.9417) Prec@1 39.844 (36.177) Prec@5 66.016 (61.956)
Epoch: [15][1670/5005] Time 0.197 (0.223) Data 0.106 (0.068) Loss 2.8120 (2.9417) Prec@1 38.672 (36.180) Prec@5 64.844 (61.958)
Epoch: [15][1680/5005] Time 0.202 (0.223) Data 0.046 (0.069) Loss 3.0458 (2.9418) Prec@1 36.719 (36.179) Prec@5 57.812 (61.957)
Epoch: [15][1690/5005] Time 0.191 (0.223) Data 0.062 (0.069) Loss 2.7286 (2.9416) Prec@1 39.453 (36.186) Prec@5 67.578 (61.960)
Epoch: [15][1700/5005] Time 0.204 (0.223) Data 0.042 (0.068) Loss 2.8653 (2.9410) Prec@1 32.422 (36.194) Prec@5 65.234 (61.971)
Epoch: [15][1710/5005] Time 0.518 (0.223) Data 0.428 (0.069) Loss 2.8096 (2.9405) Prec@1 37.109 (36.199) Prec@5 61.719 (61.979)
Epoch: [15][1720/5005] Time 0.194 (0.223) Data 0.051 (0.069) Loss 3.1492 (2.9407) Prec@1 33.984 (36.191) Prec@5 57.031 (61.973)
Epoch: [15][1730/5005] Time 0.201 (0.223) Data 0.046 (0.069) Loss 3.0640 (2.9407) Prec@1 28.516 (36.188) Prec@5 58.594 (61.973)
Epoch: [15][1740/5005] Time 0.202 (0.223) Data 0.041 (0.069) Loss 3.1723 (2.9406) Prec@1 32.031 (36.185) Prec@5 55.078 (61.975)
Epoch: [15][1750/5005] Time 0.197 (0.223) Data 0.110 (0.069) Loss 3.0360 (2.9402) Prec@1 30.469 (36.191) Prec@5 58.984 (61.981)
Epoch: [15][1760/5005] Time 0.317 (0.223) Data 0.232 (0.069) Loss 2.8211 (2.9402) Prec@1 38.281 (36.196) Prec@5 63.672 (61.978)
Epoch: [15][1770/5005] Time 0.210 (0.223) Data 0.054 (0.069) Loss 2.9609 (2.9400) Prec@1 35.547 (36.199) Prec@5 60.938 (61.984)
Epoch: [15][1780/5005] Time 0.206 (0.223) Data 0.040 (0.069) Loss 3.0120 (2.9402) Prec@1 33.984 (36.193) Prec@5 61.328 (61.981)
Epoch: [15][1790/5005] Time 0.208 (0.223) Data 0.053 (0.069) Loss 2.7340 (2.9399) Prec@1 37.109 (36.190) Prec@5 66.016 (61.987)
Epoch: [15][1800/5005] Time 0.209 (0.223) Data 0.047 (0.069) Loss 2.9086 (2.9395) Prec@1 36.719 (36.197) Prec@5 62.891 (61.997)
Epoch: [15][1810/5005] Time 0.192 (0.223) Data 0.058 (0.069) Loss 2.8909 (2.9393) Prec@1 36.719 (36.201) Prec@5 62.500 (62.001)
Epoch: [15][1820/5005] Time 0.201 (0.223) Data 0.054 (0.070) Loss 2.9687 (2.9392) Prec@1 33.203 (36.200) Prec@5 66.016 (62.004)
Epoch: [15][1830/5005] Time 0.195 (0.223) Data 0.056 (0.070) Loss 2.5870 (2.9386) Prec@1 39.844 (36.210) Prec@5 69.141 (62.016)
Epoch: [15][1840/5005] Time 0.531 (0.223) Data 0.445 (0.070) Loss 3.0009 (2.9386) Prec@1 37.891 (36.208) Prec@5 65.234 (62.018)
Epoch: [15][1850/5005] Time 0.223 (0.223) Data 0.047 (0.070) Loss 3.1146 (2.9386) Prec@1 31.641 (36.200) Prec@5 57.031 (62.021)
Epoch: [15][1860/5005] Time 0.210 (0.223) Data 0.051 (0.070) Loss 2.9533 (2.9388) Prec@1 37.891 (36.196) Prec@5 64.062 (62.017)
Epoch: [15][1870/5005] Time 0.213 (0.223) Data 0.042 (0.070) Loss 3.1114 (2.9391) Prec@1 34.375 (36.187) Prec@5 54.688 (62.010)
Epoch: [15][1880/5005] Time 0.203 (0.223) Data 0.052 (0.070) Loss 2.9994 (2.9393) Prec@1 36.719 (36.187) Prec@5 59.375 (62.006)
Epoch: [15][1890/5005] Time 0.203 (0.223) Data 0.044 (0.070) Loss 3.0386 (2.9392) Prec@1 34.375 (36.183) Prec@5 58.594 (62.007)
Epoch: [15][1900/5005] Time 0.207 (0.223) Data 0.049 (0.070) Loss 2.9251 (2.9397) Prec@1 34.375 (36.179) Prec@5 62.109 (62.000)
Epoch: [15][1910/5005] Time 0.200 (0.223) Data 0.063 (0.070) Loss 2.8356 (2.9399) Prec@1 33.984 (36.172) Prec@5 66.016 (61.996)
Epoch: [15][1920/5005] Time 0.204 (0.223) Data 0.042 (0.070) Loss 2.8304 (2.9396) Prec@1 37.500 (36.178) Prec@5 68.750 (62.007)
Epoch: [15][1930/5005] Time 0.468 (0.223) Data 0.385 (0.071) Loss 2.7601 (2.9394) Prec@1 39.844 (36.187) Prec@5 63.281 (62.012)
Epoch: [15][1940/5005] Time 0.202 (0.223) Data 0.045 (0.071) Loss 2.8177 (2.9391) Prec@1 39.844 (36.188) Prec@5 67.188 (62.020)
Epoch: [15][1950/5005] Time 0.202 (0.223) Data 0.057 (0.071) Loss 2.9946 (2.9391) Prec@1 37.891 (36.189) Prec@5 62.109 (62.021)
Epoch: [15][1960/5005] Time 0.204 (0.223) Data 0.049 (0.071) Loss 2.8109 (2.9390) Prec@1 39.844 (36.190) Prec@5 65.234 (62.024)
Epoch: [15][1970/5005] Time 0.202 (0.223) Data 0.054 (0.071) Loss 2.9676 (2.9392) Prec@1 34.766 (36.183) Prec@5 63.281 (62.019)
Epoch: [15][1980/5005] Time 0.198 (0.223) Data 0.050 (0.071) Loss 2.6326 (2.9392) Prec@1 43.359 (36.190) Prec@5 66.016 (62.023)
Epoch: [15][1990/5005] Time 0.212 (0.223) Data 0.129 (0.071) Loss 2.7520 (2.9390) Prec@1 38.281 (36.192) Prec@5 67.969 (62.029)
Epoch: [15][2000/5005] Time 0.191 (0.223) Data 0.047 (0.071) Loss 2.7543 (2.9390) Prec@1 40.625 (36.192) Prec@5 65.234 (62.029)
Epoch: [15][2010/5005] Time 0.195 (0.223) Data 0.053 (0.071) Loss 2.8289 (2.9392) Prec@1 38.281 (36.189) Prec@5 62.500 (62.025)
Epoch: [15][2020/5005] Time 0.195 (0.223) Data 0.063 (0.071) Loss 2.8284 (2.9393) Prec@1 39.453 (36.194) Prec@5 62.891 (62.023)
Epoch: [15][2030/5005] Time 0.202 (0.223) Data 0.042 (0.071) Loss 2.8718 (2.9396) Prec@1 38.281 (36.197) Prec@5 65.625 (62.013)
Epoch: [15][2040/5005] Time 0.214 (0.223) Data 0.046 (0.071) Loss 2.7083 (2.9395) Prec@1 40.234 (36.199) Prec@5 66.797 (62.018)
Epoch: [15][2050/5005] Time 0.207 (0.223) Data 0.043 (0.071) Loss 3.0060 (2.9395) Prec@1 37.500 (36.195) Prec@5 63.672 (62.019)
Epoch: [15][2060/5005] Time 0.196 (0.223) Data 0.044 (0.071) Loss 2.8813 (2.9394) Prec@1 36.719 (36.194) Prec@5 58.594 (62.021)
Epoch: [15][2070/5005] Time 0.191 (0.223) Data 0.050 (0.072) Loss 3.1624 (2.9396) Prec@1 31.641 (36.188) Prec@5 55.469 (62.013)
Epoch: [15][2080/5005] Time 0.216 (0.223) Data 0.047 (0.072) Loss 2.9974 (2.9396) Prec@1 35.547 (36.188) Prec@5 59.766 (62.013)
Epoch: [15][2090/5005] Time 0.202 (0.223) Data 0.044 (0.072) Loss 2.6892 (2.9392) Prec@1 42.188 (36.193) Prec@5 67.969 (62.018)
Epoch: [15][2100/5005] Time 0.209 (0.223) Data 0.046 (0.071) Loss 2.9762 (2.9391) Prec@1 33.203 (36.188) Prec@5 60.938 (62.023)
Epoch: [15][2110/5005] Time 0.214 (0.223) Data 0.044 (0.071) Loss 2.7660 (2.9391) Prec@1 40.234 (36.191) Prec@5 65.234 (62.021)
Epoch: [15][2120/5005] Time 0.219 (0.223) Data 0.139 (0.072) Loss 3.1132 (2.9390) Prec@1 34.766 (36.190) Prec@5 60.547 (62.024)
Epoch: [15][2130/5005] Time 0.199 (0.223) Data 0.048 (0.072) Loss 3.0133 (2.9387) Prec@1 37.109 (36.193) Prec@5 63.672 (62.035)
Epoch: [15][2140/5005] Time 0.196 (0.223) Data 0.052 (0.072) Loss 2.8819 (2.9387) Prec@1 37.109 (36.200) Prec@5 59.375 (62.032)
Epoch: [15][2150/5005] Time 0.201 (0.223) Data 0.049 (0.072) Loss 2.6932 (2.9386) Prec@1 39.062 (36.198) Prec@5 69.141 (62.032)
Epoch: [15][2160/5005] Time 0.206 (0.223) Data 0.045 (0.072) Loss 2.7168 (2.9387) Prec@1 41.016 (36.198) Prec@5 66.406 (62.033)
Epoch: [15][2170/5005] Time 0.202 (0.223) Data 0.043 (0.072) Loss 2.8177 (2.9383) Prec@1 36.719 (36.201) Prec@5 64.844 (62.037)
Epoch: [15][2180/5005] Time 0.300 (0.223) Data 0.224 (0.072) Loss 2.9356 (2.9384) Prec@1 39.062 (36.199) Prec@5 62.109 (62.033)
Epoch: [15][2190/5005] Time 0.199 (0.223) Data 0.049 (0.072) Loss 3.1853 (2.9383) Prec@1 32.812 (36.203) Prec@5 59.766 (62.036)
Epoch: [15][2200/5005] Time 0.207 (0.223) Data 0.042 (0.072) Loss 3.0995 (2.9385) Prec@1 35.547 (36.201) Prec@5 58.594 (62.035)
Epoch: [15][2210/5005] Time 0.231 (0.223) Data 0.144 (0.072) Loss 3.0177 (2.9387) Prec@1 35.547 (36.199) Prec@5 60.938 (62.032)
Epoch: [15][2220/5005] Time 0.198 (0.223) Data 0.056 (0.072) Loss 2.9565 (2.9386) Prec@1 36.328 (36.203) Prec@5 62.109 (62.031)
Epoch: [15][2230/5005] Time 0.205 (0.223) Data 0.043 (0.072) Loss 3.0450 (2.9387) Prec@1 33.984 (36.207) Prec@5 58.984 (62.028)
Epoch: [15][2240/5005] Time 0.204 (0.223) Data 0.041 (0.072) Loss 2.9892 (2.9389) Prec@1 35.938 (36.204) Prec@5 65.625 (62.026)
Epoch: [15][2250/5005] Time 0.210 (0.223) Data 0.043 (0.072) Loss 2.7403 (2.9389) Prec@1 39.844 (36.208) Prec@5 67.188 (62.025)
Epoch: [15][2260/5005] Time 0.191 (0.223) Data 0.052 (0.072) Loss 2.7381 (2.9384) Prec@1 39.453 (36.218) Prec@5 62.891 (62.034)
Epoch: [15][2270/5005] Time 0.211 (0.223) Data 0.045 (0.072) Loss 3.1471 (2.9383) Prec@1 31.250 (36.218) Prec@5 57.422 (62.035)
Epoch: [15][2280/5005] Time 0.210 (0.223) Data 0.045 (0.072) Loss 2.9136 (2.9382) Prec@1 35.547 (36.222) Prec@5 62.891 (62.036)
Epoch: [15][2290/5005] Time 0.640 (0.223) Data 0.553 (0.072) Loss 2.8281 (2.9380) Prec@1 39.453 (36.227) Prec@5 64.844 (62.039)
Epoch: [15][2300/5005] Time 0.201 (0.223) Data 0.054 (0.072) Loss 2.8627 (2.9380) Prec@1 34.375 (36.225) Prec@5 63.672 (62.038)
Epoch: [15][2310/5005] Time 0.199 (0.223) Data 0.048 (0.072) Loss 2.7463 (2.9379) Prec@1 39.844 (36.231) Prec@5 62.109 (62.037)
Epoch: [15][2320/5005] Time 0.196 (0.223) Data 0.065 (0.072) Loss 2.8757 (2.9378) Prec@1 37.500 (36.231) Prec@5 65.625 (62.040)
Epoch: [15][2330/5005] Time 0.206 (0.223) Data 0.123 (0.073) Loss 2.8074 (2.9376) Prec@1 40.234 (36.237) Prec@5 62.500 (62.043)
Epoch: [15][2340/5005] Time 0.192 (0.223) Data 0.067 (0.073) Loss 2.8788 (2.9374) Prec@1 38.672 (36.241) Prec@5 63.281 (62.047)
Epoch: [15][2350/5005] Time 0.208 (0.223) Data 0.043 (0.073) Loss 2.8680 (2.9373) Prec@1 37.109 (36.245) Prec@5 64.062 (62.049)
Epoch: [15][2360/5005] Time 0.204 (0.223) Data 0.039 (0.073) Loss 2.9119 (2.9374) Prec@1 36.328 (36.241) Prec@5 63.672 (62.047)
Epoch: [15][2370/5005] Time 0.195 (0.223) Data 0.064 (0.073) Loss 2.9484 (2.9376) Prec@1 36.328 (36.237) Prec@5 61.328 (62.042)
Epoch: [15][2380/5005] Time 0.205 (0.223) Data 0.050 (0.073) Loss 3.0624 (2.9375) Prec@1 38.672 (36.239) Prec@5 60.156 (62.045)
Epoch: [15][2390/5005] Time 0.203 (0.223) Data 0.047 (0.073) Loss 2.7800 (2.9373) Prec@1 34.375 (36.239) Prec@5 66.406 (62.043)
Epoch: [15][2400/5005] Time 0.327 (0.223) Data 0.244 (0.073) Loss 2.9699 (2.9374) Prec@1 35.547 (36.237) Prec@5 63.281 (62.042)
Epoch: [15][2410/5005] Time 0.199 (0.223) Data 0.053 (0.073) Loss 2.9455 (2.9373) Prec@1 36.719 (36.238) Prec@5 57.812 (62.041)
Epoch: [15][2420/5005] Time 0.197 (0.223) Data 0.045 (0.073) Loss 3.0572 (2.9373) Prec@1 36.719 (36.243) Prec@5 61.328 (62.046)
Epoch: [15][2430/5005] Time 0.203 (0.223) Data 0.053 (0.073) Loss 2.7907 (2.9374) Prec@1 39.453 (36.244) Prec@5 63.281 (62.040)
Epoch: [15][2440/5005] Time 0.210 (0.223) Data 0.065 (0.073) Loss 2.6384 (2.9374) Prec@1 42.188 (36.243) Prec@5 69.141 (62.043)
Epoch: [15][2450/5005] Time 0.206 (0.223) Data 0.046 (0.073) Loss 2.9061 (2.9373) Prec@1 35.547 (36.244) Prec@5 63.281 (62.049)
Epoch: [15][2460/5005] Time 0.204 (0.223) Data 0.045 (0.073) Loss 2.9074 (2.9370) Prec@1 35.156 (36.244) Prec@5 64.062 (62.053)
Epoch: [15][2470/5005] Time 0.198 (0.223) Data 0.044 (0.074) Loss 2.9051 (2.9369) Prec@1 37.109 (36.247) Prec@5 60.547 (62.058)
Epoch: [15][2480/5005] Time 0.201 (0.223) Data 0.040 (0.074) Loss 3.0887 (2.9369) Prec@1 36.328 (36.249) Prec@5 61.328 (62.056)
Epoch: [15][2490/5005] Time 0.200 (0.223) Data 0.041 (0.073) Loss 2.8362 (2.9368) Prec@1 37.109 (36.246) Prec@5 63.281 (62.057)
Epoch: [15][2500/5005] Time 0.490 (0.223) Data 0.403 (0.073) Loss 2.9238 (2.9367) Prec@1 37.500 (36.239) Prec@5 60.938 (62.057)
Epoch: [15][2510/5005] Time 0.195 (0.224) Data 0.058 (0.074) Loss 3.1215 (2.9368) Prec@1 34.766 (36.236) Prec@5 58.594 (62.055)
Epoch: [15][2520/5005] Time 0.207 (0.223) Data 0.125 (0.074) Loss 2.8891 (2.9368) Prec@1 40.625 (36.238) Prec@5 63.281 (62.057)
Epoch: [15][2530/5005] Time 0.207 (0.224) Data 0.043 (0.074) Loss 3.0469 (2.9368) Prec@1 35.156 (36.240) Prec@5 62.109 (62.060)
Epoch: [15][2540/5005] Time 0.200 (0.223) Data 0.046 (0.074) Loss 2.9228 (2.9368) Prec@1 34.766 (36.243) Prec@5 62.500 (62.058)
Epoch: [15][2550/5005] Time 0.325 (0.223) Data 0.235 (0.074) Loss 2.8158 (2.9367) Prec@1 37.109 (36.243) Prec@5 65.625 (62.057)
Epoch: [15][2560/5005] Time 0.210 (0.223) Data 0.042 (0.074) Loss 3.0471 (2.9368) Prec@1 35.547 (36.243) Prec@5 58.984 (62.058)
Epoch: [15][2570/5005] Time 0.206 (0.223) Data 0.049 (0.074) Loss 3.0163 (2.9367) Prec@1 31.250 (36.242) Prec@5 62.891 (62.059)
Epoch: [15][2580/5005] Time 0.199 (0.223) Data 0.044 (0.074) Loss 2.9776 (2.9371) Prec@1 35.156 (36.236) Prec@5 63.281 (62.055)
Epoch: [15][2590/5005] Time 0.206 (0.224) Data 0.051 (0.074) Loss 3.1453 (2.9368) Prec@1 34.375 (36.247) Prec@5 63.672 (62.060)
Epoch: [15][2600/5005] Time 0.201 (0.224) Data 0.041 (0.074) Loss 3.0438 (2.9371) Prec@1 36.328 (36.241) Prec@5 62.500 (62.058)
Epoch: [15][2610/5005] Time 0.201 (0.223) Data 0.040 (0.074) Loss 3.1636 (2.9370) Prec@1 32.422 (36.243) Prec@5 58.203 (62.061)
Epoch: [15][2620/5005] Time 0.202 (0.223) Data 0.046 (0.074) Loss 2.8793 (2.9370) Prec@1 39.844 (36.243) Prec@5 62.109 (62.064)
Epoch: [15][2630/5005] Time 0.211 (0.223) Data 0.050 (0.074) Loss 3.0362 (2.9373) Prec@1 30.469 (36.239) Prec@5 60.938 (62.059)
Epoch: [15][2640/5005] Time 0.196 (0.223) Data 0.044 (0.074) Loss 3.0647 (2.9374) Prec@1 33.203 (36.237) Prec@5 58.594 (62.054)
Epoch: [15][2650/5005] Time 0.195 (0.224) Data 0.104 (0.074) Loss 3.2531 (2.9374) Prec@1 32.422 (36.238) Prec@5 54.688 (62.054)
Epoch: [15][2660/5005] Time 0.204 (0.224) Data 0.047 (0.074) Loss 2.9752 (2.9371) Prec@1 32.422 (36.240) Prec@5 58.594 (62.057)
Epoch: [15][2670/5005] Time 0.200 (0.224) Data 0.044 (0.074) Loss 2.6729 (2.9369) Prec@1 38.672 (36.241) Prec@5 63.281 (62.061)
Epoch: [15][2680/5005] Time 0.205 (0.224) Data 0.044 (0.074) Loss 2.6816 (2.9369) Prec@1 41.406 (36.242) Prec@5 69.531 (62.064)
Epoch: [15][2690/5005] Time 0.207 (0.223) Data 0.081 (0.074) Loss 2.8551 (2.9369) Prec@1 39.062 (36.246) Prec@5 63.672 (62.065)
Epoch: [15][2700/5005] Time 0.199 (0.224) Data 0.045 (0.074) Loss 2.9190 (2.9371) Prec@1 35.938 (36.240) Prec@5 62.500 (62.064)
Epoch: [15][2710/5005] Time 0.200 (0.223) Data 0.045 (0.074) Loss 2.7296 (2.9372) Prec@1 39.844 (36.236) Prec@5 64.062 (62.061)
Epoch: [15][2720/5005] Time 0.196 (0.224) Data 0.043 (0.074) Loss 2.8138 (2.9371) Prec@1 42.578 (36.238) Prec@5 67.188 (62.062)
Epoch: [15][2730/5005] Time 0.189 (0.224) Data 0.062 (0.074) Loss 3.0223 (2.9370) Prec@1 38.281 (36.243) Prec@5 58.594 (62.063)
Epoch: [15][2740/5005] Time 0.197 (0.224) Data 0.043 (0.074) Loss 2.8373 (2.9369) Prec@1 39.453 (36.242) Prec@5 65.625 (62.065)
Epoch: [15][2750/5005] Time 0.201 (0.223) Data 0.045 (0.074) Loss 2.8985 (2.9367) Prec@1 35.547 (36.245) Prec@5 63.281 (62.067)
Epoch: [15][2760/5005] Time 0.200 (0.224) Data 0.041 (0.074) Loss 2.9123 (2.9367) Prec@1 36.328 (36.246) Prec@5 64.062 (62.071)
Epoch: [15][2770/5005] Time 0.210 (0.224) Data 0.043 (0.074) Loss 2.8622 (2.9367) Prec@1 39.062 (36.246) Prec@5 62.891 (62.070)
Epoch: [15][2780/5005] Time 0.202 (0.224) Data 0.045 (0.074) Loss 3.2455 (2.9368) Prec@1 33.594 (36.249) Prec@5 58.203 (62.069)
Epoch: [15][2790/5005] Time 0.199 (0.224) Data 0.093 (0.074) Loss 3.2556 (2.9369) Prec@1 31.641 (36.253) Prec@5 54.688 (62.064)
Epoch: [15][2800/5005] Time 0.201 (0.224) Data 0.050 (0.074) Loss 2.7322 (2.9368) Prec@1 39.844 (36.258) Prec@5 66.406 (62.065)
Epoch: [15][2810/5005] Time 0.201 (0.224) Data 0.044 (0.074) Loss 3.1109 (2.9369) Prec@1 37.109 (36.256) Prec@5 58.594 (62.060)
Epoch: [15][2820/5005] Time 0.209 (0.224) Data 0.049 (0.074) Loss 2.7186 (2.9370) Prec@1 39.062 (36.252) Prec@5 64.453 (62.063)
Epoch: [15][2830/5005] Time 0.197 (0.224) Data 0.047 (0.074) Loss 3.2098 (2.9371) Prec@1 30.469 (36.251) Prec@5 61.328 (62.063)
Epoch: [15][2840/5005] Time 0.199 (0.224) Data 0.106 (0.074) Loss 3.0524 (2.9372) Prec@1 37.109 (36.250) Prec@5 58.984 (62.063)
Epoch: [15][2850/5005] Time 0.202 (0.224) Data 0.047 (0.074) Loss 2.8916 (2.9370) Prec@1 42.578 (36.254) Prec@5 64.062 (62.068)
Epoch: [15][2860/5005] Time 0.207 (0.224) Data 0.046 (0.074) Loss 2.8884 (2.9371) Prec@1 37.500 (36.252) Prec@5 60.938 (62.064)
Epoch: [15][2870/5005] Time 0.196 (0.224) Data 0.059 (0.074) Loss 2.7818 (2.9367) Prec@1 37.891 (36.253) Prec@5 65.234 (62.074)
Epoch: [15][2880/5005] Time 0.210 (0.224) Data 0.087 (0.074) Loss 2.9052 (2.9368) Prec@1 37.109 (36.253) Prec@5 64.844 (62.072)
Epoch: [15][2890/5005] Time 0.200 (0.224) Data 0.050 (0.075) Loss 2.9619 (2.9367) Prec@1 32.031 (36.253) Prec@5 61.719 (62.075)
Epoch: [15][2900/5005] Time 0.199 (0.224) Data 0.048 (0.075) Loss 2.7010 (2.9365) Prec@1 40.234 (36.258) Prec@5 66.016 (62.082)
Epoch: [15][2910/5005] Time 0.205 (0.223) Data 0.044 (0.075) Loss 2.9222 (2.9365) Prec@1 32.031 (36.255) Prec@5 64.062 (62.085)
Epoch: [15][2920/5005] Time 0.196 (0.224) Data 0.054 (0.075) Loss 3.0477 (2.9365) Prec@1 33.594 (36.256) Prec@5 58.984 (62.087)
Epoch: [15][2930/5005] Time 0.203 (0.224) Data 0.054 (0.075) Loss 3.0977 (2.9366) Prec@1 29.688 (36.255) Prec@5 57.812 (62.085)
Epoch: [15][2940/5005] Time 0.194 (0.224) Data 0.049 (0.075) Loss 2.9190 (2.9366) Prec@1 34.375 (36.256) Prec@5 63.672 (62.086)
Epoch: [15][2950/5005] Time 0.201 (0.224) Data 0.045 (0.075) Loss 3.0990 (2.9363) Prec@1 33.594 (36.260) Prec@5 61.719 (62.090)
Epoch: [15][2960/5005] Time 0.206 (0.224) Data 0.124 (0.075) Loss 2.9663 (2.9363) Prec@1 37.500 (36.262) Prec@5 62.109 (62.092)
Epoch: [15][2970/5005] Time 0.318 (0.224) Data 0.228 (0.075) Loss 3.0684 (2.9363) Prec@1 29.688 (36.257) Prec@5 57.812 (62.091)
Epoch: [15][2980/5005] Time 0.613 (0.224) Data 0.535 (0.075) Loss 3.0887 (2.9363) Prec@1 33.984 (36.259) Prec@5 58.594 (62.090)
Epoch: [15][2990/5005] Time 0.645 (0.224) Data 0.553 (0.075) Loss 2.9187 (2.9363) Prec@1 38.672 (36.260) Prec@5 60.938 (62.090)
Epoch: [15][3000/5005] Time 0.205 (0.224) Data 0.042 (0.075) Loss 2.8780 (2.9363) Prec@1 39.062 (36.259) Prec@5 65.625 (62.090)
Epoch: [15][3010/5005] Time 0.192 (0.224) Data 0.041 (0.075) Loss 2.8345 (2.9363) Prec@1 39.453 (36.257) Prec@5 62.500 (62.088)
Epoch: [15][3020/5005] Time 0.196 (0.224) Data 0.048 (0.075) Loss 2.7991 (2.9364) Prec@1 41.406 (36.257) Prec@5 60.547 (62.086)
Epoch: [15][3030/5005] Time 0.191 (0.224) Data 0.050 (0.075) Loss 2.9480 (2.9367) Prec@1 38.672 (36.253) Prec@5 63.281 (62.085)
Epoch: [15][3040/5005] Time 0.203 (0.224) Data 0.057 (0.075) Loss 2.8418 (2.9366) Prec@1 40.625 (36.256) Prec@5 64.062 (62.083)
Epoch: [15][3050/5005] Time 0.209 (0.224) Data 0.049 (0.075) Loss 3.0007 (2.9366) Prec@1 35.156 (36.254) Prec@5 60.938 (62.086)
Epoch: [15][3060/5005] Time 0.206 (0.224) Data 0.048 (0.075) Loss 2.7959 (2.9364) Prec@1 39.062 (36.257) Prec@5 63.672 (62.090)
Epoch: [15][3070/5005] Time 0.201 (0.224) Data 0.044 (0.075) Loss 3.0025 (2.9366) Prec@1 33.203 (36.254) Prec@5 60.156 (62.087)
Epoch: [15][3080/5005] Time 0.202 (0.224) Data 0.045 (0.075) Loss 2.9107 (2.9366) Prec@1 33.984 (36.252) Prec@5 62.109 (62.082)
Epoch: [15][3090/5005] Time 0.397 (0.224) Data 0.305 (0.075) Loss 3.3244 (2.9366) Prec@1 25.391 (36.248) Prec@5 54.297 (62.083)
Epoch: [15][3100/5005] Time 0.209 (0.224) Data 0.054 (0.075) Loss 2.9001 (2.9366) Prec@1 37.891 (36.248) Prec@5 61.719 (62.082)
Epoch: [15][3110/5005] Time 0.207 (0.224) Data 0.045 (0.075) Loss 2.6894 (2.9364) Prec@1 37.500 (36.254) Prec@5 67.578 (62.086)
Epoch: [15][3120/5005] Time 0.199 (0.224) Data 0.044 (0.075) Loss 2.9707 (2.9365) Prec@1 37.109 (36.253) Prec@5 62.500 (62.083)
Epoch: [15][3130/5005] Time 0.202 (0.224) Data 0.122 (0.075) Loss 3.0115 (2.9363) Prec@1 30.859 (36.254) Prec@5 61.328 (62.085)
Epoch: [15][3140/5005] Time 0.194 (0.224) Data 0.046 (0.075) Loss 2.7131 (2.9361) Prec@1 42.969 (36.258) Prec@5 64.844 (62.086)
Epoch: [15][3150/5005] Time 0.197 (0.224) Data 0.044 (0.075) Loss 2.9405 (2.9360) Prec@1 39.844 (36.262) Prec@5 63.672 (62.089)
Epoch: [15][3160/5005] Time 0.200 (0.224) Data 0.042 (0.075) Loss 2.8766 (2.9360) Prec@1 37.500 (36.264) Prec@5 65.234 (62.092)
Epoch: [15][3170/5005] Time 0.196 (0.224) Data 0.045 (0.075) Loss 2.8833 (2.9361) Prec@1 37.109 (36.264) Prec@5 62.109 (62.090)
Epoch: [15][3180/5005] Time 0.199 (0.224) Data 0.059 (0.075) Loss 2.7422 (2.9360) Prec@1 40.625 (36.269) Prec@5 65.625 (62.093)
Epoch: [15][3190/5005] Time 0.204 (0.224) Data 0.063 (0.075) Loss 3.0257 (2.9360) Prec@1 34.375 (36.271) Prec@5 59.375 (62.095)
Epoch: [15][3200/5005] Time 0.206 (0.224) Data 0.047 (0.075) Loss 3.0404 (2.9358) Prec@1 33.984 (36.276) Prec@5 60.938 (62.103)
Epoch: [15][3210/5005] Time 0.190 (0.224) Data 0.051 (0.075) Loss 2.9921 (2.9358) Prec@1 34.375 (36.276) Prec@5 60.547 (62.104)
Epoch: [15][3220/5005] Time 0.206 (0.224) Data 0.040 (0.075) Loss 2.9177 (2.9358) Prec@1 40.234 (36.283) Prec@5 60.938 (62.104)
Epoch: [15][3230/5005] Time 0.202 (0.224) Data 0.061 (0.075) Loss 2.8454 (2.9356) Prec@1 36.719 (36.281) Prec@5 66.016 (62.105)
Epoch: [15][3240/5005] Time 0.204 (0.224) Data 0.055 (0.075) Loss 3.2933 (2.9362) Prec@1 32.031 (36.276) Prec@5 59.375 (62.097)
Epoch: [15][3250/5005] Time 0.200 (0.224) Data 0.050 (0.075) Loss 3.1220 (2.9364) Prec@1 29.688 (36.269) Prec@5 57.422 (62.091)
Epoch: [15][3260/5005] Time 0.204 (0.224) Data 0.040 (0.075) Loss 2.8697 (2.9366) Prec@1 35.156 (36.265) Prec@5 65.625 (62.089)
Epoch: [15][3270/5005] Time 0.278 (0.224) Data 0.198 (0.075) Loss 3.0488 (2.9365) Prec@1 33.594 (36.266) Prec@5 60.938 (62.091)
Epoch: [15][3280/5005] Time 0.198 (0.224) Data 0.047 (0.075) Loss 2.9995 (2.9367) Prec@1 34.766 (36.263) Prec@5 63.281 (62.091)
Epoch: [15][3290/5005] Time 0.197 (0.224) Data 0.048 (0.075) Loss 2.8124 (2.9366) Prec@1 40.625 (36.264) Prec@5 67.578 (62.092)
Epoch: [15][3300/5005] Time 0.193 (0.224) Data 0.044 (0.075) Loss 2.6950 (2.9365) Prec@1 37.109 (36.265) Prec@5 67.188 (62.095)
Epoch: [15][3310/5005] Time 0.203 (0.224) Data 0.043 (0.075) Loss 2.8428 (2.9366) Prec@1 39.062 (36.264) Prec@5 63.281 (62.095)
Epoch: [15][3320/5005] Time 0.205 (0.224) Data 0.041 (0.075) Loss 3.0107 (2.9366) Prec@1 35.156 (36.265) Prec@5 60.156 (62.095)
Epoch: [15][3330/5005] Time 0.221 (0.224) Data 0.143 (0.075) Loss 2.9630 (2.9366) Prec@1 33.984 (36.265) Prec@5 62.109 (62.095)
Epoch: [15][3340/5005] Time 0.207 (0.224) Data 0.045 (0.075) Loss 2.9815 (2.9368) Prec@1 37.109 (36.263) Prec@5 64.062 (62.093)
Epoch: [15][3350/5005] Time 0.194 (0.224) Data 0.046 (0.075) Loss 3.0654 (2.9368) Prec@1 32.031 (36.261) Prec@5 58.203 (62.092)
Epoch: [15][3360/5005] Time 0.200 (0.224) Data 0.042 (0.075) Loss 2.8769 (2.9370) Prec@1 39.453 (36.259) Prec@5 64.453 (62.089)
Epoch: [15][3370/5005] Time 0.197 (0.224) Data 0.047 (0.075) Loss 3.0244 (2.9370) Prec@1 32.812 (36.259) Prec@5 62.109 (62.089)
Epoch: [15][3380/5005] Time 0.587 (0.224) Data 0.505 (0.076) Loss 2.8425 (2.9369) Prec@1 37.891 (36.259) Prec@5 63.281 (62.088)
Epoch: [15][3390/5005] Time 0.204 (0.224) Data 0.044 (0.076) Loss 2.8000 (2.9370) Prec@1 37.891 (36.254) Prec@5 66.797 (62.085)
Epoch: [15][3400/5005] Time 0.202 (0.224) Data 0.041 (0.076) Loss 2.8443 (2.9371) Prec@1 37.109 (36.251) Prec@5 65.234 (62.085)
Epoch: [15][3410/5005] Time 0.205 (0.224) Data 0.041 (0.076) Loss 2.9265 (2.9370) Prec@1 39.844 (36.252) Prec@5 62.500 (62.087)
Epoch: [15][3420/5005] Time 0.194 (0.224) Data 0.047 (0.076) Loss 2.9843 (2.9371) Prec@1 36.719 (36.256) Prec@5 60.547 (62.085)
Epoch: [15][3430/5005] Time 0.208 (0.224) Data 0.049 (0.076) Loss 2.8909 (2.9370) Prec@1 33.984 (36.258) Prec@5 65.234 (62.087)
Epoch: [15][3440/5005] Time 0.208 (0.224) Data 0.049 (0.076) Loss 3.0259 (2.9369) Prec@1 35.156 (36.259) Prec@5 58.984 (62.088)
Epoch: [15][3450/5005] Time 0.204 (0.224) Data 0.043 (0.076) Loss 2.6552 (2.9368) Prec@1 41.406 (36.264) Prec@5 67.969 (62.092)
Epoch: [15][3460/5005] Time 0.193 (0.224) Data 0.083 (0.076) Loss 2.8852 (2.9369) Prec@1 41.406 (36.268) Prec@5 61.719 (62.089)
Epoch: [15][3470/5005] Time 0.196 (0.224) Data 0.113 (0.076) Loss 2.7247 (2.9367) Prec@1 36.719 (36.270) Prec@5 65.625 (62.089)
Epoch: [15][3480/5005] Time 0.206 (0.224) Data 0.048 (0.076) Loss 2.9257 (2.9365) Prec@1 34.766 (36.272) Prec@5 61.328 (62.091)
Epoch: [15][3490/5005] Time 0.209 (0.224) Data 0.049 (0.076) Loss 2.9571 (2.9366) Prec@1 36.328 (36.272) Prec@5 62.109 (62.087)
Epoch: [15][3500/5005] Time 0.200 (0.224) Data 0.046 (0.076) Loss 2.7257 (2.9367) Prec@1 40.625 (36.269) Prec@5 64.453 (62.086)
Epoch: [15][3510/5005] Time 0.200 (0.224) Data 0.047 (0.076) Loss 2.9574 (2.9367) Prec@1 34.766 (36.268) Prec@5 62.109 (62.085)
Epoch: [15][3520/5005] Time 0.207 (0.224) Data 0.047 (0.076) Loss 3.0453 (2.9367) Prec@1 32.812 (36.270) Prec@5 60.156 (62.088)
Epoch: [15][3530/5005] Time 0.200 (0.224) Data 0.060 (0.076) Loss 2.9225 (2.9365) Prec@1 36.719 (36.274) Prec@5 65.234 (62.094)
Epoch: [15][3540/5005] Time 0.200 (0.224) Data 0.047 (0.076) Loss 2.7699 (2.9363) Prec@1 38.281 (36.277) Prec@5 65.625 (62.102)
Epoch: [15][3550/5005] Time 0.213 (0.224) Data 0.044 (0.076) Loss 2.8432 (2.9361) Prec@1 37.891 (36.279) Prec@5 60.547 (62.104)
Epoch: [15][3560/5005] Time 0.204 (0.224) Data 0.050 (0.076) Loss 3.0185 (2.9360) Prec@1 34.375 (36.282) Prec@5 60.156 (62.105)
Epoch: [15][3570/5005] Time 0.206 (0.224) Data 0.048 (0.076) Loss 2.9949 (2.9360) Prec@1 36.328 (36.282) Prec@5 64.844 (62.107)
Epoch: [15][3580/5005] Time 0.199 (0.224) Data 0.041 (0.076) Loss 2.9691 (2.9360) Prec@1 33.203 (36.280) Prec@5 62.109 (62.105)
Epoch: [15][3590/5005] Time 0.211 (0.224) Data 0.042 (0.076) Loss 3.0679 (2.9359) Prec@1 33.594 (36.282) Prec@5 58.203 (62.105)
Epoch: [15][3600/5005] Time 0.211 (0.224) Data 0.042 (0.076) Loss 3.0345 (2.9357) Prec@1 36.328 (36.285) Prec@5 55.859 (62.107)
Epoch: [15][3610/5005] Time 0.195 (0.224) Data 0.049 (0.076) Loss 2.8682 (2.9358) Prec@1 38.672 (36.282) Prec@5 61.719 (62.107)
Epoch: [15][3620/5005] Time 0.581 (0.224) Data 0.488 (0.076) Loss 3.1172 (2.9355) Prec@1 32.812 (36.286) Prec@5 53.906 (62.112)
Epoch: [15][3630/5005] Time 0.214 (0.224) Data 0.049 (0.076) Loss 3.2169 (2.9355) Prec@1 32.812 (36.287) Prec@5 55.469 (62.112)
Epoch: [15][3640/5005] Time 0.212 (0.224) Data 0.045 (0.076) Loss 2.9078 (2.9355) Prec@1 37.500 (36.286) Prec@5 62.891 (62.114)
Epoch: [15][3650/5005] Time 0.202 (0.224) Data 0.050 (0.076) Loss 2.7569 (2.9355) Prec@1 40.625 (36.284) Prec@5 64.844 (62.119)
Epoch: [15][3660/5005] Time 0.212 (0.224) Data 0.048 (0.076) Loss 3.1597 (2.9353) Prec@1 34.375 (36.286) Prec@5 59.375 (62.124)
Epoch: [15][3670/5005] Time 0.205 (0.224) Data 0.045 (0.076) Loss 3.0159 (2.9355) Prec@1 37.500 (36.284) Prec@5 61.328 (62.121)
Epoch: [15][3680/5005] Time 0.204 (0.224) Data 0.044 (0.076) Loss 3.0081 (2.9357) Prec@1 31.641 (36.280) Prec@5 60.156 (62.116)
Epoch: [15][3690/5005] Time 0.198 (0.224) Data 0.047 (0.076) Loss 2.8055 (2.9358) Prec@1 35.547 (36.278) Prec@5 65.234 (62.118)
Epoch: [15][3700/5005] Time 0.204 (0.224) Data 0.049 (0.076) Loss 2.9939 (2.9359) Prec@1 31.641 (36.275) Prec@5 61.328 (62.117)
Epoch: [15][3710/5005] Time 0.207 (0.224) Data 0.060 (0.076) Loss 2.8391 (2.9359) Prec@1 37.500 (36.275) Prec@5 63.281 (62.118)
Epoch: [15][3720/5005] Time 0.213 (0.224) Data 0.049 (0.076) Loss 3.0369 (2.9359) Prec@1 37.891 (36.275) Prec@5 61.719 (62.118)
Epoch: [15][3730/5005] Time 0.211 (0.224) Data 0.047 (0.076) Loss 2.7948 (2.9358) Prec@1 40.625 (36.276) Prec@5 66.797 (62.118)
Epoch: [15][3740/5005] Time 0.195 (0.224) Data 0.046 (0.076) Loss 2.8256 (2.9355) Prec@1 37.500 (36.280) Prec@5 63.672 (62.125)
Epoch: [15][3750/5005] Time 0.251 (0.224) Data 0.162 (0.076) Loss 2.7885 (2.9356) Prec@1 37.109 (36.277) Prec@5 64.062 (62.123)
Epoch: [15][3760/5005] Time 0.196 (0.224) Data 0.102 (0.076) Loss 3.0706 (2.9358) Prec@1 33.203 (36.274) Prec@5 60.156 (62.118)
Epoch: [15][3770/5005] Time 0.196 (0.224) Data 0.045 (0.076) Loss 3.0481 (2.9357) Prec@1 36.719 (36.276) Prec@5 58.594 (62.118)
Epoch: [15][3780/5005] Time 0.213 (0.224) Data 0.127 (0.076) Loss 2.8845 (2.9356) Prec@1 36.719 (36.278) Prec@5 64.844 (62.121)
Epoch: [15][3790/5005] Time 0.209 (0.224) Data 0.045 (0.076) Loss 2.9906 (2.9356) Prec@1 36.328 (36.278) Prec@5 59.766 (62.122)
Epoch: [15][3800/5005] Time 0.197 (0.224) Data 0.063 (0.076) Loss 2.8712 (2.9357) Prec@1 35.547 (36.275) Prec@5 64.062 (62.119)
Epoch: [15][3810/5005] Time 0.200 (0.224) Data 0.051 (0.076) Loss 2.8435 (2.9358) Prec@1 38.672 (36.272) Prec@5 66.016 (62.121)
Epoch: [15][3820/5005] Time 0.202 (0.224) Data 0.087 (0.076) Loss 2.7120 (2.9356) Prec@1 40.625 (36.276) Prec@5 66.797 (62.125)
Epoch: [15][3830/5005] Time 0.208 (0.224) Data 0.050 (0.076) Loss 3.0410 (2.9354) Prec@1 33.594 (36.279) Prec@5 58.984 (62.128)
Epoch: [15][3840/5005] Time 0.199 (0.224) Data 0.039 (0.076) Loss 3.1736 (2.9356) Prec@1 31.250 (36.276) Prec@5 55.859 (62.124)
Epoch: [15][3850/5005] Time 0.207 (0.224) Data 0.039 (0.076) Loss 3.0727 (2.9355) Prec@1 33.594 (36.276) Prec@5 59.766 (62.125)
Epoch: [15][3860/5005] Time 0.205 (0.224) Data 0.051 (0.076) Loss 2.7959 (2.9357) Prec@1 39.453 (36.274) Prec@5 64.453 (62.124)
Epoch: [15][3870/5005] Time 0.202 (0.224) Data 0.048 (0.076) Loss 2.9062 (2.9357) Prec@1 36.328 (36.271) Prec@5 60.547 (62.123)
Epoch: [15][3880/5005] Time 0.199 (0.224) Data 0.044 (0.076) Loss 2.8419 (2.9358) Prec@1 39.844 (36.272) Prec@5 66.016 (62.119)
Epoch: [15][3890/5005] Time 0.203 (0.224) Data 0.041 (0.076) Loss 3.2164 (2.9359) Prec@1 34.766 (36.273) Prec@5 55.859 (62.119)
Epoch: [15][3900/5005] Time 0.223 (0.224) Data 0.142 (0.076) Loss 3.1084 (2.9360) Prec@1 30.469 (36.270) Prec@5 58.203 (62.119)
Epoch: [15][3910/5005] Time 0.203 (0.224) Data 0.039 (0.077) Loss 3.0343 (2.9361) Prec@1 31.641 (36.269) Prec@5 57.031 (62.116)
Epoch: [15][3920/5005] Time 0.202 (0.224) Data 0.038 (0.077) Loss 2.9761 (2.9361) Prec@1 38.281 (36.271) Prec@5 58.984 (62.114)
Epoch: [15][3930/5005] Time 0.199 (0.224) Data 0.049 (0.076) Loss 2.8377 (2.9360) Prec@1 38.281 (36.273) Prec@5 62.891 (62.118)
Epoch: [15][3940/5005] Time 0.206 (0.224) Data 0.059 (0.076) Loss 2.8744 (2.9359) Prec@1 36.328 (36.270) Prec@5 62.891 (62.116)
Epoch: [15][3950/5005] Time 0.410 (0.224) Data 0.325 (0.077) Loss 2.8601 (2.9359) Prec@1 35.547 (36.272) Prec@5 63.281 (62.116)
Epoch: [15][3960/5005] Time 0.201 (0.224) Data 0.044 (0.077) Loss 2.7393 (2.9359) Prec@1 39.453 (36.272) Prec@5 69.141 (62.116)
Epoch: [15][3970/5005] Time 0.211 (0.224) Data 0.044 (0.077) Loss 2.9110 (2.9358) Prec@1 36.328 (36.270) Prec@5 64.062 (62.117)
Epoch: [15][3980/5005] Time 0.206 (0.224) Data 0.042 (0.077) Loss 2.7683 (2.9358) Prec@1 35.938 (36.270) Prec@5 67.188 (62.120)
Epoch: [15][3990/5005] Time 0.204 (0.224) Data 0.046 (0.077) Loss 2.9656 (2.9358) Prec@1 33.594 (36.269) Prec@5 64.844 (62.121)
Epoch: [15][4000/5005] Time 0.199 (0.224) Data 0.045 (0.077) Loss 2.9183 (2.9358) Prec@1 33.984 (36.266) Prec@5 64.453 (62.124)
Epoch: [15][4010/5005] Time 0.205 (0.224) Data 0.043 (0.077) Loss 2.9658 (2.9357) Prec@1 37.891 (36.269) Prec@5 59.375 (62.123)
Epoch: [15][4020/5005] Time 0.197 (0.224) Data 0.048 (0.077) Loss 2.9863 (2.9357) Prec@1 37.891 (36.270) Prec@5 59.375 (62.122)
Epoch: [15][4030/5005] Time 0.228 (0.224) Data 0.144 (0.077) Loss 3.1667 (2.9361) Prec@1 35.938 (36.268) Prec@5 59.375 (62.115)
Epoch: [15][4040/5005] Time 0.197 (0.224) Data 0.106 (0.077) Loss 2.9794 (2.9362) Prec@1 38.672 (36.268) Prec@5 58.594 (62.115)
Epoch: [15][4050/5005] Time 0.197 (0.224) Data 0.107 (0.077) Loss 3.1698 (2.9362) Prec@1 33.594 (36.265) Prec@5 57.812 (62.115)
Epoch: [15][4060/5005] Time 0.201 (0.224) Data 0.063 (0.077) Loss 2.9654 (2.9362) Prec@1 32.422 (36.262) Prec@5 60.938 (62.114)
Epoch: [15][4070/5005] Time 0.382 (0.224) Data 0.294 (0.077) Loss 3.0885 (2.9363) Prec@1 35.547 (36.260) Prec@5 63.281 (62.113)
Epoch: [15][4080/5005] Time 0.200 (0.224) Data 0.044 (0.077) Loss 2.8812 (2.9363) Prec@1 35.938 (36.262) Prec@5 63.281 (62.112)
Epoch: [15][4090/5005] Time 0.199 (0.224) Data 0.048 (0.077) Loss 2.9466 (2.9362) Prec@1 36.328 (36.263) Prec@5 62.109 (62.112)
Epoch: [15][4100/5005] Time 0.209 (0.224) Data 0.045 (0.077) Loss 2.8259 (2.9362) Prec@1 35.938 (36.262) Prec@5 64.062 (62.113)
Epoch: [15][4110/5005] Time 0.193 (0.224) Data 0.054 (0.077) Loss 3.1230 (2.9362) Prec@1 34.766 (36.261) Prec@5 55.469 (62.113)
Epoch: [15][4120/5005] Time 0.205 (0.224) Data 0.046 (0.077) Loss 2.9532 (2.9361) Prec@1 38.281 (36.262) Prec@5 62.500 (62.115)
Epoch: [15][4130/5005] Time 0.207 (0.224) Data 0.042 (0.077) Loss 3.2639 (2.9361) Prec@1 35.938 (36.262) Prec@5 56.250 (62.117)
Epoch: [15][4140/5005] Time 0.240 (0.224) Data 0.158 (0.077) Loss 3.0513 (2.9360) Prec@1 34.766 (36.264) Prec@5 58.984 (62.119)
Epoch: [15][4150/5005] Time 0.204 (0.224) Data 0.043 (0.077) Loss 3.0088 (2.9361) Prec@1 33.594 (36.263) Prec@5 59.766 (62.119)
Epoch: [15][4160/5005] Time 0.209 (0.224) Data 0.046 (0.077) Loss 2.8904 (2.9362) Prec@1 36.328 (36.262) Prec@5 60.938 (62.116)
Epoch: [15][4170/5005] Time 0.352 (0.224) Data 0.268 (0.077) Loss 2.9025 (2.9360) Prec@1 33.594 (36.266) Prec@5 60.547 (62.119)
Epoch: [15][4180/5005] Time 0.196 (0.224) Data 0.048 (0.077) Loss 2.7913 (2.9360) Prec@1 39.453 (36.266) Prec@5 66.016 (62.119)
Epoch: [15][4190/5005] Time 0.206 (0.224) Data 0.047 (0.077) Loss 2.8520 (2.9360) Prec@1 35.938 (36.265) Prec@5 62.891 (62.118)
Epoch: [15][4200/5005] Time 0.541 (0.224) Data 0.460 (0.077) Loss 2.6748 (2.9360) Prec@1 41.016 (36.265) Prec@5 66.797 (62.118)
Epoch: [15][4210/5005] Time 0.200 (0.224) Data 0.051 (0.077) Loss 2.8729 (2.9360) Prec@1 37.891 (36.268) Prec@5 64.062 (62.117)
Epoch: [15][4220/5005] Time 0.212 (0.224) Data 0.047 (0.077) Loss 3.0348 (2.9361) Prec@1 35.547 (36.264) Prec@5 59.375 (62.114)
Epoch: [15][4230/5005] Time 0.189 (0.224) Data 0.048 (0.077) Loss 3.0956 (2.9361) Prec@1 34.375 (36.267) Prec@5 57.422 (62.111)
Epoch: [15][4240/5005] Time 0.461 (0.224) Data 0.384 (0.077) Loss 2.7740 (2.9362) Prec@1 39.453 (36.268) Prec@5 66.016 (62.112)
Epoch: [15][4250/5005] Time 0.286 (0.224) Data 0.200 (0.077) Loss 2.7997 (2.9360) Prec@1 37.891 (36.271) Prec@5 64.062 (62.114)
Epoch: [15][4260/5005] Time 0.196 (0.224) Data 0.044 (0.077) Loss 2.8917 (2.9360) Prec@1 35.938 (36.272) Prec@5 62.109 (62.111)
Epoch: [15][4270/5005] Time 0.201 (0.224) Data 0.055 (0.077) Loss 3.1846 (2.9362) Prec@1 33.203 (36.269) Prec@5 60.547 (62.111)
Epoch: [15][4280/5005] Time 0.209 (0.224) Data 0.045 (0.078) Loss 2.8222 (2.9363) Prec@1 37.500 (36.269) Prec@5 62.891 (62.110)
Epoch: [15][4290/5005] Time 0.196 (0.224) Data 0.052 (0.077) Loss 3.1509 (2.9363) Prec@1 33.594 (36.266) Prec@5 55.078 (62.110)
Epoch: [15][4300/5005] Time 0.199 (0.224) Data 0.041 (0.077) Loss 2.6746 (2.9362) Prec@1 41.797 (36.268) Prec@5 67.578 (62.115)
Epoch: [15][4310/5005] Time 0.210 (0.224) Data 0.042 (0.077) Loss 3.0251 (2.9363) Prec@1 34.375 (36.267) Prec@5 60.156 (62.114)
Epoch: [15][4320/5005] Time 0.497 (0.224) Data 0.420 (0.077) Loss 2.9309 (2.9364) Prec@1 40.234 (36.267) Prec@5 64.844 (62.110)
Epoch: [15][4330/5005] Time 0.203 (0.224) Data 0.050 (0.077) Loss 2.8799 (2.9363) Prec@1 35.938 (36.268) Prec@5 66.797 (62.112)
Epoch: [15][4340/5005] Time 0.205 (0.224) Data 0.044 (0.077) Loss 2.9117 (2.9364) Prec@1 37.500 (36.266) Prec@5 60.156 (62.109)
Epoch: [15][4350/5005] Time 0.207 (0.224) Data 0.046 (0.077) Loss 2.9983 (2.9364) Prec@1 37.891 (36.270) Prec@5 60.938 (62.111)
Epoch: [15][4360/5005] Time 0.203 (0.224) Data 0.049 (0.077) Loss 2.9843 (2.9363) Prec@1 30.859 (36.268) Prec@5 58.594 (62.108)
Epoch: [15][4370/5005] Time 0.204 (0.224) Data 0.046 (0.077) Loss 3.0798 (2.9364) Prec@1 34.375 (36.269) Prec@5 58.203 (62.106)
Epoch: [15][4380/5005] Time 0.196 (0.224) Data 0.048 (0.077) Loss 3.0375 (2.9364) Prec@1 32.422 (36.268) Prec@5 57.812 (62.103)
Epoch: [15][4390/5005] Time 0.205 (0.224) Data 0.051 (0.077) Loss 3.0001 (2.9362) Prec@1 36.328 (36.274) Prec@5 58.594 (62.105)
Epoch: [15][4400/5005] Time 0.196 (0.224) Data 0.045 (0.077) Loss 2.9413 (2.9363) Prec@1 34.375 (36.272) Prec@5 57.031 (62.102)
Epoch: [15][4410/5005] Time 0.206 (0.224) Data 0.087 (0.077) Loss 2.9422 (2.9362) Prec@1 35.156 (36.270) Prec@5 59.766 (62.101)
Epoch: [15][4420/5005] Time 0.203 (0.224) Data 0.090 (0.077) Loss 2.5769 (2.9362) Prec@1 42.578 (36.270) Prec@5 68.359 (62.102)
Epoch: [15][4430/5005] Time 0.208 (0.224) Data 0.045 (0.077) Loss 3.0377 (2.9359) Prec@1 34.766 (36.275) Prec@5 56.250 (62.104)
Epoch: [15][4440/5005] Time 0.196 (0.224) Data 0.092 (0.077) Loss 2.9578 (2.9359) Prec@1 35.547 (36.277) Prec@5 61.328 (62.107)
Epoch: [15][4450/5005] Time 0.205 (0.224) Data 0.050 (0.077) Loss 2.7647 (2.9358) Prec@1 37.500 (36.279) Prec@5 63.672 (62.108)
Epoch: [15][4460/5005] Time 0.196 (0.224) Data 0.049 (0.077) Loss 3.0059 (2.9356) Prec@1 33.203 (36.280) Prec@5 62.891 (62.111)
Epoch: [15][4470/5005] Time 0.203 (0.224) Data 0.049 (0.078) Loss 2.9577 (2.9357) Prec@1 35.156 (36.281) Prec@5 60.156 (62.110)
Epoch: [15][4480/5005] Time 0.211 (0.224) Data 0.042 (0.078) Loss 2.7696 (2.9358) Prec@1 39.844 (36.281) Prec@5 63.281 (62.107)
Epoch: [15][4490/5005] Time 0.194 (0.224) Data 0.047 (0.078) Loss 2.9574 (2.9359) Prec@1 35.156 (36.281) Prec@5 58.594 (62.105)
Epoch: [15][4500/5005] Time 0.208 (0.224) Data 0.062 (0.078) Loss 2.7877 (2.9358) Prec@1 35.156 (36.280) Prec@5 63.672 (62.106)
Epoch: [15][4510/5005] Time 0.199 (0.224) Data 0.055 (0.078) Loss 2.8066 (2.9359) Prec@1 38.281 (36.279) Prec@5 64.453 (62.105)
Epoch: [15][4520/5005] Time 0.201 (0.224) Data 0.040 (0.078) Loss 2.9371 (2.9358) Prec@1 35.547 (36.278) Prec@5 62.109 (62.107)
Epoch: [15][4530/5005] Time 0.205 (0.224) Data 0.043 (0.078) Loss 2.7040 (2.9358) Prec@1 43.359 (36.280) Prec@5 64.844 (62.107)
Epoch: [15][4540/5005] Time 0.198 (0.224) Data 0.061 (0.078) Loss 3.1044 (2.9359) Prec@1 35.156 (36.276) Prec@5 61.328 (62.105)
Epoch: [15][4550/5005] Time 0.202 (0.224) Data 0.094 (0.078) Loss 2.9877 (2.9359) Prec@1 38.281 (36.276) Prec@5 60.547 (62.106)
Epoch: [15][4560/5005] Time 0.197 (0.224) Data 0.050 (0.078) Loss 2.8432 (2.9358) Prec@1 39.453 (36.278) Prec@5 65.234 (62.106)
Epoch: [15][4570/5005] Time 0.204 (0.224) Data 0.045 (0.078) Loss 2.9948 (2.9357) Prec@1 37.500 (36.279) Prec@5 60.938 (62.109)
Epoch: [15][4580/5005] Time 0.204 (0.224) Data 0.040 (0.078) Loss 3.0200 (2.9356) Prec@1 33.203 (36.281) Prec@5 60.156 (62.112)
Epoch: [15][4590/5005] Time 0.242 (0.224) Data 0.158 (0.078) Loss 2.7608 (2.9355) Prec@1 39.844 (36.282) Prec@5 67.578 (62.117)
Epoch: [15][4600/5005] Time 0.197 (0.224) Data 0.063 (0.078) Loss 2.6113 (2.9356) Prec@1 44.141 (36.282) Prec@5 66.406 (62.113)
Epoch: [15][4610/5005] Time 0.204 (0.224) Data 0.042 (0.078) Loss 2.8651 (2.9355) Prec@1 35.156 (36.285) Prec@5 62.891 (62.114)
Epoch: [15][4620/5005] Time 0.594 (0.224) Data 0.505 (0.078) Loss 2.7489 (2.9355) Prec@1 39.453 (36.287) Prec@5 64.453 (62.115)
Epoch: [15][4630/5005] Time 0.201 (0.224) Data 0.062 (0.078) Loss 2.7126 (2.9354) Prec@1 41.797 (36.288) Prec@5 69.531 (62.117)
Epoch: [15][4640/5005] Time 0.200 (0.224) Data 0.039 (0.078) Loss 2.9568 (2.9353) Prec@1 36.328 (36.287) Prec@5 60.547 (62.117)
Epoch: [15][4650/5005] Time 0.211 (0.224) Data 0.046 (0.078) Loss 3.0588 (2.9353) Prec@1 32.031 (36.287) Prec@5 58.984 (62.118)
Epoch: [15][4660/5005] Time 0.193 (0.224) Data 0.051 (0.078) Loss 3.3182 (2.9353) Prec@1 33.594 (36.288) Prec@5 53.125 (62.118)
Epoch: [15][4670/5005] Time 0.300 (0.224) Data 0.211 (0.078) Loss 2.8847 (2.9352) Prec@1 33.594 (36.289) Prec@5 62.500 (62.119)
Epoch: [15][4680/5005] Time 0.198 (0.224) Data 0.048 (0.078) Loss 2.8184 (2.9352) Prec@1 39.062 (36.290) Prec@5 67.969 (62.119)
Epoch: [15][4690/5005] Time 0.204 (0.224) Data 0.043 (0.078) Loss 2.9889 (2.9352) Prec@1 35.547 (36.291) Prec@5 60.547 (62.119)
Epoch: [15][4700/5005] Time 0.205 (0.224) Data 0.093 (0.078) Loss 2.9375 (2.9353) Prec@1 35.547 (36.292) Prec@5 60.938 (62.118)
Epoch: [15][4710/5005] Time 0.201 (0.224) Data 0.081 (0.078) Loss 2.9246 (2.9350) Prec@1 33.594 (36.293) Prec@5 63.672 (62.120)
Epoch: [15][4720/5005] Time 0.198 (0.224) Data 0.049 (0.078) Loss 2.8182 (2.9351) Prec@1 37.891 (36.292) Prec@5 60.547 (62.119)
Epoch: [15][4730/5005] Time 0.198 (0.224) Data 0.047 (0.078) Loss 2.7907 (2.9352) Prec@1 38.281 (36.289) Prec@5 64.062 (62.117)
Epoch: [15][4740/5005] Time 0.195 (0.224) Data 0.055 (0.078) Loss 2.9608 (2.9352) Prec@1 33.203 (36.290) Prec@5 59.375 (62.116)
Epoch: [15][4750/5005] Time 0.206 (0.224) Data 0.050 (0.078) Loss 2.9686 (2.9352) Prec@1 37.891 (36.290) Prec@5 57.031 (62.114)
Epoch: [15][4760/5005] Time 0.209 (0.224) Data 0.044 (0.078) Loss 3.2519 (2.9351) Prec@1 29.688 (36.291) Prec@5 55.469 (62.114)
Epoch: [15][4770/5005] Time 0.200 (0.224) Data 0.085 (0.078) Loss 2.8649 (2.9351) Prec@1 37.109 (36.291) Prec@5 64.844 (62.115)
Epoch: [15][4780/5005] Time 0.198 (0.224) Data 0.059 (0.078) Loss 3.0916 (2.9352) Prec@1 36.719 (36.291) Prec@5 57.812 (62.112)
Epoch: [15][4790/5005] Time 0.195 (0.224) Data 0.047 (0.078) Loss 3.0999 (2.9353) Prec@1 36.719 (36.289) Prec@5 59.766 (62.111)
Epoch: [15][4800/5005] Time 0.374 (0.224) Data 0.288 (0.078) Loss 3.0920 (2.9353) Prec@1 33.203 (36.289) Prec@5 60.156 (62.109)
Epoch: [15][4810/5005] Time 0.497 (0.224) Data 0.402 (0.078) Loss 3.1340 (2.9352) Prec@1 37.109 (36.290) Prec@5 58.203 (62.110)
Epoch: [15][4820/5005] Time 0.197 (0.224) Data 0.117 (0.078) Loss 3.0708 (2.9351) Prec@1 37.891 (36.292) Prec@5 60.547 (62.111)
Epoch: [15][4830/5005] Time 0.206 (0.224) Data 0.045 (0.078) Loss 3.0051 (2.9350) Prec@1 37.109 (36.294) Prec@5 59.375 (62.115)
Epoch: [15][4840/5005] Time 0.193 (0.224) Data 0.085 (0.078) Loss 2.7668 (2.9351) Prec@1 41.016 (36.292) Prec@5 62.891 (62.112)
Epoch: [15][4850/5005] Time 0.197 (0.224) Data 0.039 (0.078) Loss 3.0805 (2.9353) Prec@1 31.250 (36.289) Prec@5 57.031 (62.108)
Epoch: [15][4860/5005] Time 0.196 (0.224) Data 0.046 (0.078) Loss 3.0627 (2.9353) Prec@1 32.812 (36.290) Prec@5 60.938 (62.106)
Epoch: [15][4870/5005] Time 0.202 (0.224) Data 0.040 (0.078) Loss 2.8090 (2.9352) Prec@1 39.844 (36.292) Prec@5 65.234 (62.105)
Epoch: [15][4880/5005] Time 0.197 (0.224) Data 0.064 (0.078) Loss 2.7377 (2.9351) Prec@1 35.938 (36.295) Prec@5 65.234 (62.108)
Epoch: [15][4890/5005] Time 0.198 (0.224) Data 0.049 (0.078) Loss 3.0021 (2.9351) Prec@1 32.812 (36.296) Prec@5 59.375 (62.106)
Epoch: [15][4900/5005] Time 0.373 (0.224) Data 0.295 (0.078) Loss 2.7774 (2.9350) Prec@1 39.453 (36.296) Prec@5 62.891 (62.106)
Epoch: [15][4910/5005] Time 0.207 (0.224) Data 0.050 (0.078) Loss 2.9440 (2.9348) Prec@1 31.641 (36.299) Prec@5 64.062 (62.110)
Epoch: [15][4920/5005] Time 0.195 (0.224) Data 0.047 (0.078) Loss 2.7953 (2.9348) Prec@1 37.891 (36.299) Prec@5 62.500 (62.110)
Epoch: [15][4930/5005] Time 0.197 (0.224) Data 0.046 (0.078) Loss 2.9734 (2.9347) Prec@1 35.938 (36.298) Prec@5 60.547 (62.111)
Epoch: [15][4940/5005] Time 0.195 (0.224) Data 0.059 (0.078) Loss 2.8982 (2.9347) Prec@1 39.062 (36.298) Prec@5 60.547 (62.110)
Epoch: [15][4950/5005] Time 0.206 (0.224) Data 0.052 (0.078) Loss 2.7613 (2.9348) Prec@1 34.766 (36.297) Prec@5 62.109 (62.107)
Epoch: [15][4960/5005] Time 0.200 (0.224) Data 0.047 (0.078) Loss 3.0168 (2.9348) Prec@1 33.984 (36.299) Prec@5 65.625 (62.109)
Epoch: [15][4970/5005] Time 0.189 (0.224) Data 0.045 (0.078) Loss 3.0944 (2.9348) Prec@1 36.719 (36.299) Prec@5 61.328 (62.107)
Epoch: [15][4980/5005] Time 0.197 (0.224) Data 0.056 (0.078) Loss 3.1343 (2.9347) Prec@1 34.375 (36.300) Prec@5 60.547 (62.110)
Epoch: [15][4990/5005] Time 0.382 (0.224) Data 0.293 (0.078) Loss 3.1078 (2.9347) Prec@1 31.641 (36.301) Prec@5 57.422 (62.113)
Epoch: [15][5000/5005] Time 0.206 (0.224) Data 0.032 (0.078) Loss 3.0394 (2.9347) Prec@1 35.156 (36.301) Prec@5 61.328 (62.112)
Test: [0/196] Time 2.265 (2.265) Loss 2.8888 (2.8888) Prec@1 38.672 (38.672) Prec@5 62.891 (62.891)
Test: [10/196] Time 0.044 (0.392) Loss 2.9734 (3.0251) Prec@1 36.719 (34.411) Prec@5 61.328 (60.405)
Test: [20/196] Time 0.042 (0.294) Loss 2.9468 (3.0268) Prec@1 35.156 (34.524) Prec@5 61.719 (60.547)
Test: [30/196] Time 0.042 (0.262) Loss 2.9566 (3.0404) Prec@1 36.328 (34.249) Prec@5 58.984 (60.169)
Test: [40/196] Time 0.762 (0.276) Loss 2.7875 (3.0405) Prec@1 37.500 (34.699) Prec@5 66.797 (60.175)
Test: [50/196] Time 0.046 (0.262) Loss 3.2114 (3.0465) Prec@1 33.203 (34.628) Prec@5 60.938 (60.225)
Test: [60/196] Time 0.044 (0.253) Loss 2.9449 (3.0329) Prec@1 39.844 (34.862) Prec@5 61.328 (60.361)
Test: [70/196] Time 0.050 (0.244) Loss 2.9276 (3.0221) Prec@1 37.891 (34.942) Prec@5 63.281 (60.684)
Test: [80/196] Time 0.206 (0.246) Loss 2.8280 (3.0234) Prec@1 41.016 (35.041) Prec@5 69.141 (60.629)
Test: [90/196] Time 0.321 (0.241) Loss 3.1151 (3.0305) Prec@1 34.375 (34.924) Prec@5 58.594 (60.508)
Test: [100/196] Time 0.481 (0.240) Loss 3.0262 (3.0280) Prec@1 37.109 (35.009) Prec@5 62.500 (60.620)
Test: [110/196] Time 0.509 (0.240) Loss 3.2349 (3.0300) Prec@1 35.156 (35.019) Prec@5 56.250 (60.645)
Test: [120/196] Time 0.096 (0.240) Loss 2.7938 (3.0265) Prec@1 32.812 (35.046) Prec@5 66.016 (60.731)
Test: [130/196] Time 0.042 (0.237) Loss 2.7722 (3.0239) Prec@1 40.234 (35.115) Prec@5 62.500 (60.785)
Test: [140/196] Time 0.164 (0.234) Loss 2.7989 (3.0255) Prec@1 37.891 (35.106) Prec@5 63.672 (60.746)
Test: [150/196] Time 0.043 (0.233) Loss 2.7886 (3.0234) Prec@1 37.500 (35.081) Prec@5 67.969 (60.826)
Test: [160/196] Time 0.042 (0.232) Loss 2.9586 (3.0215) Prec@1 38.672 (35.154) Prec@5 60.547 (60.806)
Test: [170/196] Time 0.333 (0.232) Loss 2.8334 (3.0229) Prec@1 39.453 (35.179) Prec@5 63.281 (60.780)
Test: [180/196] Time 0.710 (0.233) Loss 3.2478 (3.0277) Prec@1 30.469 (35.094) Prec@5 59.375 (60.666)
Test: [190/196] Time 0.319 (0.232) Loss 3.2756 (3.0309) Prec@1 33.203 (35.040) Prec@5 54.688 (60.563)
* Prec@1 35.040 Prec@5 60.590
Learning rate: 0.001
Epoch: [16][0/5005] Time 2.352 (2.352) Data 2.258 (2.258) Loss 2.7817 (2.7817) Prec@1 39.453 (39.453) Prec@5 65.234 (65.234)
Epoch: [16][10/5005] Time 0.200 (0.397) Data 0.041 (0.252) Loss 2.8325 (2.9254) Prec@1 37.891 (36.009) Prec@5 64.844 (62.607)
Epoch: [16][20/5005] Time 0.205 (0.304) Data 0.044 (0.152) Loss 3.0150 (2.9422) Prec@1 39.453 (36.161) Prec@5 63.672 (62.147)
Epoch: [16][30/5005] Time 0.206 (0.271) Data 0.042 (0.117) Loss 2.7269 (2.8933) Prec@1 40.234 (36.920) Prec@5 65.625 (62.903)
Epoch: [16][40/5005] Time 0.203 (0.254) Data 0.044 (0.099) Loss 2.8031 (2.8980) Prec@1 35.938 (36.633) Prec@5 64.453 (62.853)
Epoch: [16][50/5005] Time 0.199 (0.244) Data 0.038 (0.088) Loss 2.8147 (2.9014) Prec@1 35.938 (36.366) Prec@5 65.625 (62.952)
Epoch: [16][60/5005] Time 0.219 (0.237) Data 0.043 (0.081) Loss 2.8237 (2.9033) Prec@1 37.891 (36.296) Prec@5 63.281 (62.807)
Epoch: [16][70/5005] Time 0.192 (0.232) Data 0.040 (0.075) Loss 2.8116 (2.9159) Prec@1 36.328 (36.075) Prec@5 66.406 (62.610)
Epoch: [16][80/5005] Time 0.206 (0.229) Data 0.046 (0.072) Loss 2.8380 (2.9148) Prec@1 38.281 (36.029) Prec@5 63.672 (62.625)
Epoch: [16][90/5005] Time 0.207 (0.228) Data 0.041 (0.069) Loss 2.8371 (2.9115) Prec@1 40.625 (36.238) Prec@5 67.188 (62.835)
Epoch: [16][100/5005] Time 0.198 (0.225) Data 0.045 (0.066) Loss 2.7467 (2.9125) Prec@1 39.453 (36.289) Prec@5 67.578 (62.767)
Epoch: [16][110/5005] Time 0.194 (0.223) Data 0.060 (0.064) Loss 2.8240 (2.9123) Prec@1 37.500 (36.318) Prec@5 61.719 (62.753)
Epoch: [16][120/5005] Time 0.202 (0.221) Data 0.050 (0.063) Loss 3.0141 (2.9171) Prec@1 34.375 (36.322) Prec@5 62.109 (62.623)
Epoch: [16][130/5005] Time 0.203 (0.219) Data 0.042 (0.062) Loss 3.0201 (2.9173) Prec@1 35.547 (36.385) Prec@5 58.203 (62.610)
Epoch: [16][140/5005] Time 0.330 (0.220) Data 0.246 (0.064) Loss 2.9407 (2.9182) Prec@1 33.594 (36.370) Prec@5 62.109 (62.530)
Epoch: [16][150/5005] Time 0.197 (0.220) Data 0.051 (0.064) Loss 3.0856 (2.9202) Prec@1 33.594 (36.354) Prec@5 57.812 (62.461)
Epoch: [16][160/5005] Time 0.203 (0.224) Data 0.048 (0.069) Loss 2.9037 (2.9202) Prec@1 35.938 (36.425) Prec@5 61.328 (62.468)
Epoch: [16][170/5005] Time 0.213 (0.224) Data 0.045 (0.069) Loss 2.9543 (2.9202) Prec@1 36.719 (36.433) Prec@5 60.938 (62.404)
Epoch: [16][180/5005] Time 0.296 (0.224) Data 0.209 (0.070) Loss 3.1095 (2.9199) Prec@1 35.938 (36.440) Prec@5 55.469 (62.422)
Epoch: [16][190/5005] Time 0.224 (0.224) Data 0.043 (0.069) Loss 3.1203 (2.9237) Prec@1 33.203 (36.365) Prec@5 58.594 (62.334)
Epoch: [16][200/5005] Time 0.276 (0.225) Data 0.191 (0.071) Loss 3.1207 (2.9252) Prec@1 32.422 (36.346) Prec@5 61.719 (62.331)
Epoch: [16][210/5005] Time 0.202 (0.226) Data 0.089 (0.073) Loss 2.6489 (2.9230) Prec@1 41.016 (36.350) Prec@5 64.453 (62.376)
Epoch: [16][220/5005] Time 0.211 (0.226) Data 0.067 (0.073) Loss 2.9054 (2.9240) Prec@1 36.719 (36.356) Prec@5 64.062 (62.369)
Epoch: [16][230/5005] Time 0.215 (0.226) Data 0.051 (0.073) Loss 2.7837 (2.9235) Prec@1 33.984 (36.362) Prec@5 61.719 (62.409)
Epoch: [16][240/5005] Time 0.204 (0.227) Data 0.054 (0.075) Loss 2.9105 (2.9244) Prec@1 35.547 (36.305) Prec@5 62.500 (62.387)
Epoch: [16][250/5005] Time 0.223 (0.229) Data 0.051 (0.078) Loss 3.0466 (2.9240) Prec@1 34.375 (36.314) Prec@5 62.891 (62.388)
Epoch: [16][260/5005] Time 0.218 (0.229) Data 0.048 (0.078) Loss 2.7762 (2.9229) Prec@1 37.109 (36.331) Prec@5 65.625 (62.407)
Epoch: [16][270/5005] Time 0.206 (0.230) Data 0.044 (0.080) Loss 2.9396 (2.9231) Prec@1 37.500 (36.335) Prec@5 61.328 (62.406)
Epoch: [16][280/5005] Time 0.200 (0.230) Data 0.051 (0.080) Loss 3.3226 (2.9256) Prec@1 28.125 (36.288) Prec@5 55.078 (62.353)
Epoch: [16][290/5005] Time 0.234 (0.230) Data 0.143 (0.080) Loss 2.8199 (2.9280) Prec@1 41.016 (36.244) Prec@5 64.062 (62.285)
Epoch: [16][300/5005] Time 0.201 (0.231) Data 0.046 (0.081) Loss 2.9109 (2.9287) Prec@1 36.328 (36.233) Prec@5 64.844 (62.273)
Epoch: [16][310/5005] Time 0.213 (0.231) Data 0.042 (0.081) Loss 2.8433 (2.9262) Prec@1 39.844 (36.283) Prec@5 65.234 (62.346)
Epoch: [16][320/5005] Time 0.208 (0.230) Data 0.038 (0.080) Loss 3.0868 (2.9262) Prec@1 35.547 (36.332) Prec@5 61.328 (62.381)
Epoch: [16][330/5005] Time 0.219 (0.231) Data 0.047 (0.081) Loss 2.6196 (2.9238) Prec@1 42.969 (36.338) Prec@5 66.016 (62.368)
Epoch: [16][340/5005] Time 0.208 (0.232) Data 0.043 (0.081) Loss 3.0722 (2.9275) Prec@1 32.031 (36.285) Prec@5 60.938 (62.295)
Epoch: [16][350/5005] Time 0.201 (0.231) Data 0.050 (0.081) Loss 3.1402 (2.9271) Prec@1 36.328 (36.304) Prec@5 60.938 (62.301)
Epoch: [16][360/5005] Time 0.222 (0.231) Data 0.048 (0.081) Loss 3.0472 (2.9268) Prec@1 35.938 (36.338) Prec@5 58.203 (62.280)
Epoch: [16][370/5005] Time 0.220 (0.230) Data 0.042 (0.080) Loss 3.1032 (2.9248) Prec@1 30.859 (36.370) Prec@5 57.812 (62.299)
Epoch: [16][380/5005] Time 0.208 (0.230) Data 0.050 (0.079) Loss 3.0589 (2.9258) Prec@1 35.547 (36.356) Prec@5 58.594 (62.286)
Epoch: [16][390/5005] Time 0.221 (0.230) Data 0.043 (0.078) Loss 2.8267 (2.9259) Prec@1 40.625 (36.362) Prec@5 63.672 (62.290)
Epoch: [16][400/5005] Time 0.220 (0.229) Data 0.042 (0.078) Loss 2.7551 (2.9239) Prec@1 34.766 (36.376) Prec@5 67.969 (62.326)
Epoch: [16][410/5005] Time 0.209 (0.229) Data 0.044 (0.077) Loss 2.6071 (2.9231) Prec@1 39.844 (36.384) Prec@5 66.406 (62.337)
Epoch: [16][420/5005] Time 0.216 (0.228) Data 0.044 (0.076) Loss 2.8748 (2.9227) Prec@1 37.891 (36.394) Prec@5 63.672 (62.341)
Epoch: [16][430/5005] Time 0.220 (0.228) Data 0.044 (0.075) Loss 2.9082 (2.9224) Prec@1 34.766 (36.408) Prec@5 64.844 (62.322)
Epoch: [16][440/5005] Time 0.217 (0.228) Data 0.044 (0.075) Loss 2.7550 (2.9215) Prec@1 41.016 (36.409) Prec@5 65.625 (62.369)
Epoch: [16][450/5005] Time 0.222 (0.228) Data 0.044 (0.074) Loss 2.6809 (2.9214) Prec@1 40.234 (36.396) Prec@5 64.844 (62.353)
Epoch: [16][460/5005] Time 0.229 (0.227) Data 0.043 (0.073) Loss 2.9923 (2.9228) Prec@1 32.812 (36.355) Prec@5 60.547 (62.358)
Epoch: [16][470/5005] Time 0.218 (0.227) Data 0.042 (0.073) Loss 2.7829 (2.9239) Prec@1 37.109 (36.330) Prec@5 65.234 (62.327)
Epoch: [16][480/5005] Time 0.213 (0.227) Data 0.043 (0.072) Loss 3.0254 (2.9242) Prec@1 36.328 (36.319) Prec@5 60.547 (62.329)
Epoch: [16][490/5005] Time 0.207 (0.227) Data 0.041 (0.072) Loss 2.8622 (2.9246) Prec@1 40.625 (36.323) Prec@5 64.844 (62.320)
Epoch: [16][500/5005] Time 0.215 (0.226) Data 0.040 (0.071) Loss 3.1488 (2.9267) Prec@1 33.594 (36.315) Prec@5 59.766 (62.303)
Epoch: [16][510/5005] Time 0.212 (0.226) Data 0.043 (0.071) Loss 3.2114 (2.9277) Prec@1 31.641 (36.336) Prec@5 54.297 (62.281)
Epoch: [16][520/5005] Time 0.211 (0.226) Data 0.041 (0.070) Loss 2.8886 (2.9274) Prec@1 35.156 (36.333) Prec@5 60.938 (62.281)
Epoch: [16][530/5005] Time 0.220 (0.226) Data 0.043 (0.070) Loss 2.8658 (2.9269) Prec@1 34.766 (36.326) Prec@5 67.188 (62.277)
Epoch: [16][540/5005] Time 0.217 (0.225) Data 0.043 (0.069) Loss 3.0167 (2.9272) Prec@1 37.109 (36.338) Prec@5 63.281 (62.277)
Epoch: [16][550/5005] Time 0.211 (0.225) Data 0.044 (0.069) Loss 2.8465 (2.9266) Prec@1 35.938 (36.348) Prec@5 62.891 (62.268)
Epoch: [16][560/5005] Time 0.215 (0.225) Data 0.044 (0.068) Loss 2.9111 (2.9266) Prec@1 37.500 (36.342) Prec@5 64.453 (62.282)
Epoch: [16][570/5005] Time 0.211 (0.225) Data 0.041 (0.068) Loss 3.0753 (2.9274) Prec@1 35.156 (36.332) Prec@5 58.594 (62.266)
Epoch: [16][580/5005] Time 0.216 (0.225) Data 0.041 (0.067) Loss 3.0015 (2.9262) Prec@1 36.328 (36.347) Prec@5 62.109 (62.286)
Epoch: [16][590/5005] Time 0.213 (0.224) Data 0.050 (0.067) Loss 3.0843 (2.9259) Prec@1 34.766 (36.350) Prec@5 56.641 (62.265)
Epoch: [16][600/5005] Time 0.211 (0.224) Data 0.039 (0.067) Loss 2.9866 (2.9273) Prec@1 35.938 (36.316) Prec@5 62.109 (62.252)
Epoch: [16][610/5005] Time 0.211 (0.224) Data 0.041 (0.066) Loss 2.9243 (2.9276) Prec@1 33.984 (36.315) Prec@5 58.594 (62.238)
Epoch: [16][620/5005] Time 0.208 (0.224) Data 0.045 (0.066) Loss 2.9062 (2.9274) Prec@1 38.281 (36.332) Prec@5 61.328 (62.245)
Epoch: [16][630/5005] Time 0.217 (0.224) Data 0.044 (0.065) Loss 3.1584 (2.9269) Prec@1 34.375 (36.349) Prec@5 58.594 (62.268)
Epoch: [16][640/5005] Time 0.216 (0.224) Data 0.043 (0.065) Loss 2.8967 (2.9275) Prec@1 38.672 (36.354) Prec@5 61.719 (62.262)
Epoch: [16][650/5005] Time 0.220 (0.224) Data 0.044 (0.065) Loss 3.1159 (2.9290) Prec@1 34.766 (36.329) Prec@5 58.984 (62.234)
Epoch: [16][660/5005] Time 0.210 (0.223) Data 0.048 (0.065) Loss 3.0268 (2.9283) Prec@1 32.422 (36.342) Prec@5 61.719 (62.244)
Epoch: [16][670/5005] Time 0.214 (0.223) Data 0.047 (0.064) Loss 3.2140 (2.9287) Prec@1 32.422 (36.338) Prec@5 58.594 (62.245)
Epoch: [16][680/5005] Time 0.215 (0.223) Data 0.048 (0.064) Loss 2.9640 (2.9293) Prec@1 35.938 (36.330) Prec@5 60.156 (62.228)
Epoch: [16][690/5005] Time 0.222 (0.223) Data 0.043 (0.064) Loss 2.8770 (2.9288) Prec@1 37.500 (36.338) Prec@5 62.109 (62.227)
Epoch: [16][700/5005] Time 0.221 (0.223) Data 0.044 (0.064) Loss 2.9142 (2.9278) Prec@1 39.844 (36.365) Prec@5 60.547 (62.235)
Epoch: [16][710/5005] Time 0.212 (0.223) Data 0.044 (0.063) Loss 2.7230 (2.9276) Prec@1 36.328 (36.370) Prec@5 65.625 (62.236)
Epoch: [16][720/5005] Time 0.210 (0.223) Data 0.046 (0.063) Loss 2.8823 (2.9272) Prec@1 39.453 (36.376) Prec@5 65.234 (62.240)
Epoch: [16][730/5005] Time 0.214 (0.222) Data 0.047 (0.063) Loss 2.9340 (2.9269) Prec@1 41.016 (36.387) Prec@5 60.547 (62.242)
Epoch: [16][740/5005] Time 0.220 (0.222) Data 0.048 (0.063) Loss 2.9068 (2.9268) Prec@1 36.719 (36.411) Prec@5 62.109 (62.236)
Epoch: [16][750/5005] Time 0.215 (0.222) Data 0.047 (0.063) Loss 2.8769 (2.9261) Prec@1 39.453 (36.429) Prec@5 64.062 (62.262)
Epoch: [16][760/5005] Time 0.211 (0.222) Data 0.049 (0.063) Loss 3.0301 (2.9267) Prec@1 37.109 (36.417) Prec@5 62.500 (62.247)
Epoch: [16][770/5005] Time 0.209 (0.222) Data 0.049 (0.063) Loss 2.9940 (2.9257) Prec@1 32.422 (36.420) Prec@5 58.984 (62.261)
Epoch: [16][780/5005] Time 0.223 (0.222) Data 0.041 (0.062) Loss 2.9110 (2.9255) Prec@1 36.719 (36.429) Prec@5 63.672 (62.271)
Epoch: [16][790/5005] Time 0.214 (0.222) Data 0.040 (0.062) Loss 2.9284 (2.9253) Prec@1 36.719 (36.441) Prec@5 62.109 (62.269)
Epoch: [16][800/5005] Time 0.221 (0.221) Data 0.047 (0.062) Loss 2.8271 (2.9246) Prec@1 35.547 (36.454) Prec@5 64.062 (62.275)
Epoch: [16][810/5005] Time 0.199 (0.222) Data 0.099 (0.062) Loss 3.0768 (2.9246) Prec@1 30.859 (36.441) Prec@5 58.203 (62.281)
Epoch: [16][820/5005] Time 0.215 (0.222) Data 0.043 (0.063) Loss 2.9582 (2.9250) Prec@1 34.375 (36.439) Prec@5 60.156 (62.287)
Epoch: [16][830/5005] Time 0.203 (0.222) Data 0.048 (0.063) Loss 3.0372 (2.9256) Prec@1 35.938 (36.430) Prec@5 58.984 (62.262)
Epoch: [16][840/5005] Time 0.205 (0.222) Data 0.058 (0.063) Loss 2.8470 (2.9255) Prec@1 39.453 (36.433) Prec@5 60.938 (62.268)
Epoch: [16][850/5005] Time 0.201 (0.222) Data 0.091 (0.064) Loss 3.1639 (2.9253) Prec@1 33.203 (36.430) Prec@5 60.938 (62.278)
Epoch: [16][860/5005] Time 0.213 (0.222) Data 0.049 (0.065) Loss 2.8965 (2.9248) Prec@1 36.328 (36.439) Prec@5 61.719 (62.289)
Epoch: [16][870/5005] Time 0.204 (0.222) Data 0.042 (0.065) Loss 2.9053 (2.9239) Prec@1 37.500 (36.464) Prec@5 66.406 (62.308)
Epoch: [16][880/5005] Time 0.204 (0.222) Data 0.042 (0.065) Loss 2.7822 (2.9244) Prec@1 39.453 (36.474) Prec@5 63.672 (62.298)
Epoch: [16][890/5005] Time 0.202 (0.222) Data 0.053 (0.065) Loss 2.9779 (2.9243) Prec@1 35.547 (36.475) Prec@5 62.109 (62.289)
Epoch: [16][900/5005] Time 0.207 (0.222) Data 0.062 (0.065) Loss 2.7522 (2.9237) Prec@1 39.453 (36.477) Prec@5 64.844 (62.296)
Epoch: [16][910/5005] Time 0.201 (0.222) Data 0.046 (0.065) Loss 2.9525 (2.9236) Prec@1 34.375 (36.473) Prec@5 65.625 (62.288)
Epoch: [16][920/5005] Time 0.258 (0.222) Data 0.175 (0.065) Loss 2.9026 (2.9232) Prec@1 39.844 (36.484) Prec@5 64.844 (62.295)
Epoch: [16][930/5005] Time 0.341 (0.223) Data 0.252 (0.065) Loss 2.9894 (2.9231) Prec@1 39.453 (36.488) Prec@5 59.766 (62.283)
Epoch: [16][940/5005] Time 0.195 (0.223) Data 0.044 (0.066) Loss 2.8277 (2.9233) Prec@1 36.328 (36.490) Prec@5 64.844 (62.285)
Epoch: [16][950/5005] Time 0.208 (0.223) Data 0.043 (0.066) Loss 3.0097 (2.9236) Prec@1 34.766 (36.497) Prec@5 64.453 (62.279)
Epoch: [16][960/5005] Time 0.201 (0.224) Data 0.043 (0.067) Loss 3.0049 (2.9236) Prec@1 33.594 (36.489) Prec@5 63.672 (62.284)
Epoch: [16][970/5005] Time 0.512 (0.224) Data 0.426 (0.068) Loss 2.7673 (2.9237) Prec@1 39.453 (36.493) Prec@5 65.234 (62.282)
Epoch: [16][980/5005] Time 0.204 (0.225) Data 0.063 (0.068) Loss 2.8184 (2.9233) Prec@1 40.625 (36.502) Prec@5 63.672 (62.288)
Epoch: [16][990/5005] Time 0.215 (0.225) Data 0.042 (0.068) Loss 2.9858 (2.9237) Prec@1 33.984 (36.486) Prec@5 61.328 (62.273)
Epoch: [16][1000/5005] Time 0.215 (0.224) Data 0.042 (0.068) Loss 2.9230 (2.9235) Prec@1 34.375 (36.490) Prec@5 63.281 (62.279)
Epoch: [16][1010/5005] Time 0.215 (0.224) Data 0.046 (0.068) Loss 2.8800 (2.9233) Prec@1 35.547 (36.496) Prec@5 63.672 (62.285)
Epoch: [16][1020/5005] Time 0.212 (0.224) Data 0.043 (0.068) Loss 2.7602 (2.9234) Prec@1 41.406 (36.505) Prec@5 62.891 (62.277)
Epoch: [16][1030/5005] Time 0.212 (0.224) Data 0.042 (0.067) Loss 2.8570 (2.9227) Prec@1 38.281 (36.512) Prec@5 61.719 (62.284)
Epoch: [16][1040/5005] Time 0.206 (0.224) Data 0.045 (0.067) Loss 3.0447 (2.9231) Prec@1 33.203 (36.496) Prec@5 58.594 (62.280)
Epoch: [16][1050/5005] Time 0.215 (0.224) Data 0.040 (0.067) Loss 3.0883 (2.9238) Prec@1 32.422 (36.482) Prec@5 58.984 (62.264)
Epoch: [16][1060/5005] Time 0.207 (0.224) Data 0.042 (0.067) Loss 2.9979 (2.9241) Prec@1 35.547 (36.481) Prec@5 60.547 (62.263)
Epoch: [16][1070/5005] Time 0.208 (0.224) Data 0.043 (0.066) Loss 2.9185 (2.9241) Prec@1 37.109 (36.490) Prec@5 60.547 (62.262)
Epoch: [16][1080/5005] Time 0.204 (0.223) Data 0.053 (0.066) Loss 2.9104 (2.9243) Prec@1 34.375 (36.490) Prec@5 64.453 (62.265)
Epoch: [16][1090/5005] Time 0.227 (0.223) Data 0.047 (0.066) Loss 2.6703 (2.9237) Prec@1 40.625 (36.497) Prec@5 66.797 (62.275)
Epoch: [16][1100/5005] Time 0.212 (0.223) Data 0.050 (0.066) Loss 2.8463 (2.9236) Prec@1 41.797 (36.509) Prec@5 63.281 (62.270)
Epoch: [16][1110/5005] Time 0.207 (0.223) Data 0.066 (0.066) Loss 3.0390 (2.9236) Prec@1 33.594 (36.510) Prec@5 59.375 (62.274)
Epoch: [16][1120/5005] Time 0.199 (0.223) Data 0.046 (0.066) Loss 2.7713 (2.9225) Prec@1 41.406 (36.512) Prec@5 66.016 (62.295)
Epoch: [16][1130/5005] Time 0.204 (0.223) Data 0.042 (0.066) Loss 2.9328 (2.9226) Prec@1 34.766 (36.508) Prec@5 62.891 (62.289)
Epoch: [16][1140/5005] Time 0.205 (0.223) Data 0.046 (0.065) Loss 2.8452 (2.9220) Prec@1 36.328 (36.523) Prec@5 64.844 (62.305)
Epoch: [16][1150/5005] Time 0.207 (0.223) Data 0.044 (0.065) Loss 2.8101 (2.9214) Prec@1 33.984 (36.529) Prec@5 62.891 (62.306)
Epoch: [16][1160/5005] Time 0.208 (0.222) Data 0.048 (0.065) Loss 2.8811 (2.9208) Prec@1 36.328 (36.522) Prec@5 62.500 (62.313)
Epoch: [16][1170/5005] Time 0.214 (0.222) Data 0.049 (0.065) Loss 2.8636 (2.9206) Prec@1 35.547 (36.527) Prec@5 66.406 (62.321)
Epoch: [16][1180/5005] Time 0.219 (0.222) Data 0.043 (0.065) Loss 3.0422 (2.9205) Prec@1 32.422 (36.524) Prec@5 58.984 (62.311)
Epoch: [16][1190/5005] Time 0.211 (0.222) Data 0.040 (0.065) Loss 2.6851 (2.9206) Prec@1 39.062 (36.525) Prec@5 66.406 (62.313)
Epoch: [16][1200/5005] Time 0.204 (0.222) Data 0.047 (0.065) Loss 3.0980 (2.9211) Prec@1 32.031 (36.516) Prec@5 59.375 (62.306)
Epoch: [16][1210/5005] Time 0.210 (0.222) Data 0.053 (0.064) Loss 2.9620 (2.9217) Prec@1 35.156 (36.507) Prec@5 62.500 (62.296)
Epoch: [16][1220/5005] Time 0.214 (0.222) Data 0.041 (0.064) Loss 2.7753 (2.9217) Prec@1 39.844 (36.500) Prec@5 66.797 (62.297)
Epoch: [16][1230/5005] Time 0.201 (0.222) Data 0.046 (0.065) Loss 2.9680 (2.9220) Prec@1 38.672 (36.486) Prec@5 62.500 (62.296)
Epoch: [16][1240/5005] Time 0.196 (0.222) Data 0.047 (0.065) Loss 2.9714 (2.9222) Prec@1 39.062 (36.488) Prec@5 63.672 (62.293)
Epoch: [16][1250/5005] Time 0.204 (0.222) Data 0.044 (0.065) Loss 3.2488 (2.9227) Prec@1 32.422 (36.483) Prec@5 57.422 (62.281)
Epoch: [16][1260/5005] Time 0.327 (0.222) Data 0.247 (0.065) Loss 2.7147 (2.9224) Prec@1 39.844 (36.478) Prec@5 62.891 (62.288)
Epoch: [16][1270/5005] Time 0.208 (0.222) Data 0.081 (0.065) Loss 2.9245 (2.9228) Prec@1 37.109 (36.472) Prec@5 60.547 (62.277)
Epoch: [16][1280/5005] Time 0.207 (0.222) Data 0.050 (0.065) Loss 2.9546 (2.9232) Prec@1 35.938 (36.467) Prec@5 62.500 (62.262)
Epoch: [16][1290/5005] Time 0.205 (0.222) Data 0.059 (0.065) Loss 2.6582 (2.9228) Prec@1 44.922 (36.474) Prec@5 66.016 (62.270)
Epoch: [16][1300/5005] Time 0.204 (0.222) Data 0.040 (0.065) Loss 2.8777 (2.9224) Prec@1 41.016 (36.484) Prec@5 64.844 (62.275)
Epoch: [16][1310/5005] Time 0.192 (0.222) Data 0.082 (0.065) Loss 2.8429 (2.9221) Prec@1 39.453 (36.484) Prec@5 63.672 (62.287)
Epoch: [16][1320/5005] Time 0.205 (0.222) Data 0.043 (0.066) Loss 3.1893 (2.9221) Prec@1 32.031 (36.482) Prec@5 58.203 (62.288)
Epoch: [16][1330/5005] Time 0.211 (0.222) Data 0.041 (0.066) Loss 2.9877 (2.9223) Prec@1 33.984 (36.473) Prec@5 63.281 (62.283)
Epoch: [16][1340/5005] Time 0.203 (0.222) Data 0.045 (0.066) Loss 3.0420 (2.9221) Prec@1 33.203 (36.476) Prec@5 60.156 (62.286)
Epoch: [16][1350/5005] Time 0.202 (0.222) Data 0.079 (0.066) Loss 3.1697 (2.9224) Prec@1 32.812 (36.467) Prec@5 63.281 (62.278)
Epoch: [16][1360/5005] Time 0.274 (0.222) Data 0.185 (0.066) Loss 2.7869 (2.9225) Prec@1 40.625 (36.471) Prec@5 64.453 (62.280)
Epoch: [16][1370/5005] Time 0.203 (0.222) Data 0.048 (0.066) Loss 3.1117 (2.9224) Prec@1 35.938 (36.481) Prec@5 59.375 (62.283)
Epoch: [16][1380/5005] Time 0.207 (0.222) Data 0.044 (0.066) Loss 2.9577 (2.9221) Prec@1 35.547 (36.483) Prec@5 62.500 (62.286)
Epoch: [16][1390/5005] Time 0.395 (0.222) Data 0.309 (0.067) Loss 2.7714 (2.9221) Prec@1 41.797 (36.488) Prec@5 65.625 (62.278)
Epoch: [16][1400/5005] Time 0.520 (0.222) Data 0.434 (0.067) Loss 2.8385 (2.9216) Prec@1 38.672 (36.480) Prec@5 62.891 (62.291)
Epoch: [16][1410/5005] Time 0.195 (0.222) Data 0.042 (0.067) Loss 2.8648 (2.9212) Prec@1 35.938 (36.487) Prec@5 62.500 (62.303)
Epoch: [16][1420/5005] Time 0.203 (0.222) Data 0.044 (0.067) Loss 3.1693 (2.9211) Prec@1 37.891 (36.488) Prec@5 59.375 (62.300)
Epoch: [16][1430/5005] Time 0.211 (0.222) Data 0.046 (0.067) Loss 2.5669 (2.9207) Prec@1 43.750 (36.501) Prec@5 68.750 (62.310)
Epoch: [16][1440/5005] Time 0.198 (0.222) Data 0.091 (0.067) Loss 2.7191 (2.9206) Prec@1 38.672 (36.502) Prec@5 66.406 (62.312)
Epoch: [16][1450/5005] Time 0.212 (0.222) Data 0.042 (0.067) Loss 2.8760 (2.9206) Prec@1 36.719 (36.501) Prec@5 66.016 (62.311)
Epoch: [16][1460/5005] Time 0.211 (0.222) Data 0.042 (0.067) Loss 2.9309 (2.9204) Prec@1 35.938 (36.504) Prec@5 60.938 (62.309)
Epoch: [16][1470/5005] Time 0.217 (0.222) Data 0.044 (0.067) Loss 3.0412 (2.9206) Prec@1 34.766 (36.510) Prec@5 59.766 (62.308)
Epoch: [16][1480/5005] Time 0.213 (0.222) Data 0.040 (0.067) Loss 2.8642 (2.9209) Prec@1 38.281 (36.507) Prec@5 64.062 (62.308)
Epoch: [16][1490/5005] Time 0.204 (0.222) Data 0.045 (0.067) Loss 3.2606 (2.9207) Prec@1 28.906 (36.506) Prec@5 56.641 (62.316)
Epoch: [16][1500/5005] Time 0.213 (0.222) Data 0.042 (0.067) Loss 3.0065 (2.9205) Prec@1 35.156 (36.509) Prec@5 60.156 (62.327)
Epoch: [16][1510/5005] Time 0.194 (0.222) Data 0.053 (0.067) Loss 2.7118 (2.9201) Prec@1 39.453 (36.520) Prec@5 64.062 (62.331)
Epoch: [16][1520/5005] Time 0.207 (0.222) Data 0.045 (0.067) Loss 2.8664 (2.9199) Prec@1 40.234 (36.521) Prec@5 65.234 (62.329)
Epoch: [16][1530/5005] Time 0.202 (0.222) Data 0.051 (0.067) Loss 3.0808 (2.9202) Prec@1 33.203 (36.518) Prec@5 61.328 (62.326)
Epoch: [16][1540/5005] Time 0.206 (0.222) Data 0.094 (0.067) Loss 2.9869 (2.9206) Prec@1 36.719 (36.512) Prec@5 60.938 (62.316)
Epoch: [16][1550/5005] Time 0.209 (0.222) Data 0.046 (0.068) Loss 2.8869 (2.9203) Prec@1 34.766 (36.520) Prec@5 64.062 (62.318)
Epoch: [16][1560/5005] Time 0.207 (0.222) Data 0.042 (0.067) Loss 2.8072 (2.9203) Prec@1 39.453 (36.526) Prec@5 62.891 (62.322)
Epoch: [16][1570/5005] Time 0.205 (0.222) Data 0.046 (0.068) Loss 2.7188 (2.9199) Prec@1 39.453 (36.526) Prec@5 63.281 (62.326)
Epoch: [16][1580/5005] Time 0.204 (0.222) Data 0.050 (0.068) Loss 2.7450 (2.9203) Prec@1 41.406 (36.519) Prec@5 67.578 (62.321)
Epoch: [16][1590/5005] Time 0.192 (0.222) Data 0.085 (0.068) Loss 2.8723 (2.9203) Prec@1 39.453 (36.516) Prec@5 60.156 (62.316)
Epoch: [16][1600/5005] Time 0.247 (0.222) Data 0.162 (0.068) Loss 3.0569 (2.9206) Prec@1 36.719 (36.511) Prec@5 58.203 (62.314)
Epoch: [16][1610/5005] Time 0.206 (0.222) Data 0.056 (0.068) Loss 2.9688 (2.9208) Prec@1 36.719 (36.509) Prec@5 62.500 (62.312)
Epoch: [16][1620/5005] Time 0.190 (0.223) Data 0.047 (0.069) Loss 3.2257 (2.9207) Prec@1 30.859 (36.509) Prec@5 56.250 (62.310)
Epoch: [16][1630/5005] Time 0.201 (0.223) Data 0.046 (0.069) Loss 2.8138 (2.9206) Prec@1 39.844 (36.514) Prec@5 64.062 (62.316)
Epoch: [16][1640/5005] Time 0.201 (0.223) Data 0.066 (0.069) Loss 2.9041 (2.9210) Prec@1 37.500 (36.512) Prec@5 64.062 (62.310)
Epoch: [16][1650/5005] Time 0.209 (0.223) Data 0.039 (0.069) Loss 3.0662 (2.9210) Prec@1 32.812 (36.510) Prec@5 55.859 (62.308)
Epoch: [16][1660/5005] Time 0.277 (0.223) Data 0.190 (0.069) Loss 2.8609 (2.9203) Prec@1 37.109 (36.520) Prec@5 64.062 (62.320)
Epoch: [16][1670/5005] Time 0.205 (0.223) Data 0.058 (0.069) Loss 2.6979 (2.9204) Prec@1 41.797 (36.521) Prec@5 64.453 (62.323)
Epoch: [16][1680/5005] Time 0.196 (0.223) Data 0.046 (0.069) Loss 2.9773 (2.9206) Prec@1 38.672 (36.522) Prec@5 62.891 (62.317)
Epoch: [16][1690/5005] Time 0.206 (0.223) Data 0.040 (0.069) Loss 2.8712 (2.9203) Prec@1 35.547 (36.521) Prec@5 64.453 (62.325)
Epoch: [16][1700/5005] Time 0.214 (0.223) Data 0.043 (0.069) Loss 2.8381 (2.9198) Prec@1 33.984 (36.529) Prec@5 65.234 (62.336)
Epoch: [16][1710/5005] Time 0.307 (0.223) Data 0.226 (0.069) Loss 2.7321 (2.9193) Prec@1 38.281 (36.534) Prec@5 66.797 (62.347)
Epoch: [16][1720/5005] Time 0.203 (0.223) Data 0.084 (0.069) Loss 2.9885 (2.9193) Prec@1 39.844 (36.531) Prec@5 59.375 (62.347)
Epoch: [16][1730/5005] Time 0.210 (0.223) Data 0.040 (0.069) Loss 2.9454 (2.9192) Prec@1 31.250 (36.532) Prec@5 61.719 (62.350)
Epoch: [16][1740/5005] Time 0.219 (0.223) Data 0.086 (0.069) Loss 3.0290 (2.9188) Prec@1 37.109 (36.536) Prec@5 58.594 (62.358)
Epoch: [16][1750/5005] Time 0.556 (0.223) Data 0.473 (0.070) Loss 2.9236 (2.9183) Prec@1 31.250 (36.540) Prec@5 60.156 (62.368)
Epoch: [16][1760/5005] Time 0.197 (0.223) Data 0.043 (0.070) Loss 2.7034 (2.9184) Prec@1 40.625 (36.547) Prec@5 66.406 (62.370)
Epoch: [16][1770/5005] Time 0.202 (0.223) Data 0.046 (0.070) Loss 3.0033 (2.9182) Prec@1 33.984 (36.548) Prec@5 60.547 (62.374)
Epoch: [16][1780/5005] Time 0.203 (0.223) Data 0.121 (0.070) Loss 2.9348 (2.9182) Prec@1 32.031 (36.541) Prec@5 60.547 (62.372)
Epoch: [16][1790/5005] Time 0.199 (0.223) Data 0.048 (0.070) Loss 2.8200 (2.9180) Prec@1 35.156 (36.542) Prec@5 61.328 (62.372)
Epoch: [16][1800/5005] Time 0.198 (0.223) Data 0.045 (0.070) Loss 2.7400 (2.9179) Prec@1 36.719 (36.544) Prec@5 67.969 (62.380)
Epoch: [16][1810/5005] Time 0.200 (0.223) Data 0.044 (0.070) Loss 2.7369 (2.9177) Prec@1 40.234 (36.541) Prec@5 65.234 (62.379)
Epoch: [16][1820/5005] Time 0.205 (0.223) Data 0.051 (0.070) Loss 2.9738 (2.9178) Prec@1 35.938 (36.541) Prec@5 61.719 (62.378)
Epoch: [16][1830/5005] Time 0.199 (0.223) Data 0.050 (0.070) Loss 2.6275 (2.9174) Prec@1 41.406 (36.549) Prec@5 65.625 (62.379)
Epoch: [16][1840/5005] Time 0.200 (0.223) Data 0.048 (0.070) Loss 2.9848 (2.9172) Prec@1 32.422 (36.551) Prec@5 59.766 (62.381)
Epoch: [16][1850/5005] Time 0.208 (0.223) Data 0.043 (0.070) Loss 3.0065 (2.9171) Prec@1 31.250 (36.555) Prec@5 64.844 (62.379)
Epoch: [16][1860/5005] Time 0.208 (0.223) Data 0.044 (0.070) Loss 2.7363 (2.9172) Prec@1 37.500 (36.548) Prec@5 66.016 (62.381)
Epoch: [16][1870/5005] Time 0.192 (0.223) Data 0.047 (0.070) Loss 3.3256 (2.9174) Prec@1 27.734 (36.546) Prec@5 53.125 (62.378)
Epoch: [16][1880/5005] Time 0.197 (0.223) Data 0.046 (0.070) Loss 2.8221 (2.9175) Prec@1 37.109 (36.549) Prec@5 63.281 (62.380)
Epoch: [16][1890/5005] Time 0.216 (0.223) Data 0.047 (0.070) Loss 2.9285 (2.9173) Prec@1 35.938 (36.553) Prec@5 61.328 (62.384)
Epoch: [16][1900/5005] Time 0.210 (0.223) Data 0.045 (0.070) Loss 2.9489 (2.9178) Prec@1 38.672 (36.549) Prec@5 60.938 (62.376)
Epoch: [16][1910/5005] Time 0.286 (0.223) Data 0.203 (0.070) Loss 2.9299 (2.9180) Prec@1 34.375 (36.543) Prec@5 58.984 (62.370)
Epoch: [16][1920/5005] Time 0.198 (0.223) Data 0.121 (0.070) Loss 2.8317 (2.9180) Prec@1 36.719 (36.542) Prec@5 62.891 (62.366)
Epoch: [16][1930/5005] Time 0.216 (0.223) Data 0.040 (0.070) Loss 2.7751 (2.9177) Prec@1 40.234 (36.545) Prec@5 63.672 (62.373)
Epoch: [16][1940/5005] Time 0.212 (0.223) Data 0.051 (0.070) Loss 2.7386 (2.9173) Prec@1 39.453 (36.548) Prec@5 68.359 (62.380)
Epoch: [16][1950/5005] Time 0.205 (0.223) Data 0.047 (0.070) Loss 2.9680 (2.9172) Prec@1 35.547 (36.551) Prec@5 58.594 (62.379)
Epoch: [16][1960/5005] Time 0.199 (0.223) Data 0.041 (0.071) Loss 2.8209 (2.9168) Prec@1 37.109 (36.554) Prec@5 65.234 (62.385)
Epoch: [16][1970/5005] Time 0.200 (0.223) Data 0.047 (0.071) Loss 2.9529 (2.9170) Prec@1 34.375 (36.551) Prec@5 60.547 (62.378)
Epoch: [16][1980/5005] Time 0.200 (0.223) Data 0.048 (0.071) Loss 2.6444 (2.9171) Prec@1 44.922 (36.555) Prec@5 66.016 (62.382)
Epoch: [16][1990/5005] Time 0.203 (0.223) Data 0.046 (0.071) Loss 2.7081 (2.9166) Prec@1 38.281 (36.558) Prec@5 65.234 (62.388)
Epoch: [16][2000/5005] Time 0.204 (0.223) Data 0.049 (0.071) Loss 2.7501 (2.9169) Prec@1 40.234 (36.559) Prec@5 63.672 (62.382)
Epoch: [16][2010/5005] Time 0.203 (0.223) Data 0.042 (0.071) Loss 2.9514 (2.9172) Prec@1 35.156 (36.555) Prec@5 62.109 (62.380)
Epoch: [16][2020/5005] Time 0.212 (0.223) Data 0.130 (0.071) Loss 2.8772 (2.9172) Prec@1 37.500 (36.557) Prec@5 61.328 (62.379)
Epoch: [16][2030/5005] Time 0.205 (0.223) Data 0.046 (0.071) Loss 2.9226 (2.9175) Prec@1 38.281 (36.552) Prec@5 62.500 (62.374)
Epoch: [16][2040/5005] Time 0.207 (0.223) Data 0.056 (0.071) Loss 2.6590 (2.9173) Prec@1 38.672 (36.558) Prec@5 66.016 (62.379)
Epoch: [16][2050/5005] Time 0.204 (0.223) Data 0.046 (0.071) Loss 3.0304 (2.9174) Prec@1 37.500 (36.553) Prec@5 60.547 (62.376)
Epoch: [16][2060/5005] Time 0.206 (0.223) Data 0.049 (0.072) Loss 2.7628 (2.9173) Prec@1 39.844 (36.553) Prec@5 61.328 (62.374)
Epoch: [16][2070/5005] Time 0.200 (0.223) Data 0.060 (0.071) Loss 3.0898 (2.9176) Prec@1 34.375 (36.552) Prec@5 63.281 (62.370)
Epoch: [16][2080/5005] Time 0.203 (0.223) Data 0.049 (0.071) Loss 2.9707 (2.9174) Prec@1 34.766 (36.554) Prec@5 64.062 (62.373)
Epoch: [16][2090/5005] Time 0.206 (0.223) Data 0.045 (0.071) Loss 2.7786 (2.9169) Prec@1 39.453 (36.561) Prec@5 65.625 (62.381)
Epoch: [16][2100/5005] Time 0.246 (0.223) Data 0.162 (0.071) Loss 3.0222 (2.9168) Prec@1 32.031 (36.565) Prec@5 60.156 (62.385)
Epoch: [16][2110/5005] Time 0.205 (0.223) Data 0.040 (0.072) Loss 2.8384 (2.9169) Prec@1 38.672 (36.571) Prec@5 62.891 (62.385)
Epoch: [16][2120/5005] Time 0.244 (0.223) Data 0.149 (0.071) Loss 2.9461 (2.9168) Prec@1 41.797 (36.581) Prec@5 60.547 (62.387)
Epoch: [16][2130/5005] Time 0.212 (0.223) Data 0.044 (0.072) Loss 3.0023 (2.9166) Prec@1 36.719 (36.586) Prec@5 61.719 (62.389)
Epoch: [16][2140/5005] Time 0.208 (0.223) Data 0.042 (0.071) Loss 2.6465 (2.9167) Prec@1 39.062 (36.586) Prec@5 63.672 (62.385)
Epoch: [16][2150/5005] Time 0.212 (0.223) Data 0.047 (0.072) Loss 2.7314 (2.9166) Prec@1 41.406 (36.589) Prec@5 64.453 (62.386)
Epoch: [16][2160/5005] Time 0.216 (0.223) Data 0.044 (0.072) Loss 2.6892 (2.9165) Prec@1 42.578 (36.591) Prec@5 66.797 (62.391)
Epoch: [16][2170/5005] Time 0.205 (0.223) Data 0.048 (0.072) Loss 2.8537 (2.9163) Prec@1 37.109 (36.589) Prec@5 64.453 (62.394)
Epoch: [16][2180/5005] Time 0.546 (0.223) Data 0.468 (0.072) Loss 2.9953 (2.9164) Prec@1 37.500 (36.582) Prec@5 59.375 (62.391)
Epoch: [16][2190/5005] Time 0.375 (0.223) Data 0.294 (0.072) Loss 3.0889 (2.9164) Prec@1 36.328 (36.581) Prec@5 57.422 (62.389)
Epoch: [16][2200/5005] Time 0.200 (0.223) Data 0.062 (0.072) Loss 3.0774 (2.9166) Prec@1 35.156 (36.575) Prec@5 60.547 (62.389)
Epoch: [16][2210/5005] Time 0.196 (0.223) Data 0.087 (0.072) Loss 2.9348 (2.9170) Prec@1 38.281 (36.576) Prec@5 61.328 (62.382)
Epoch: [16][2220/5005] Time 0.204 (0.223) Data 0.038 (0.072) Loss 3.1450 (2.9169) Prec@1 35.547 (36.577) Prec@5 56.641 (62.383)
Epoch: [16][2230/5005] Time 0.212 (0.223) Data 0.042 (0.072) Loss 2.8895 (2.9169) Prec@1 39.453 (36.581) Prec@5 61.328 (62.381)
Epoch: [16][2240/5005] Time 0.200 (0.223) Data 0.047 (0.072) Loss 3.0290 (2.9170) Prec@1 32.812 (36.580) Prec@5 63.672 (62.380)
Epoch: [16][2250/5005] Time 0.202 (0.223) Data 0.044 (0.072) Loss 2.7598 (2.9171) Prec@1 38.281 (36.583) Prec@5 66.797 (62.376)
Epoch: [16][2260/5005] Time 0.204 (0.223) Data 0.041 (0.072) Loss 2.8299 (2.9168) Prec@1 37.500 (36.591) Prec@5 61.719 (62.377)
Epoch: [16][2270/5005] Time 0.201 (0.223) Data 0.113 (0.072) Loss 3.0103 (2.9166) Prec@1 37.500 (36.597) Prec@5 61.328 (62.382)
Epoch: [16][2280/5005] Time 0.209 (0.223) Data 0.077 (0.072) Loss 2.9272 (2.9168) Prec@1 37.500 (36.595) Prec@5 64.062 (62.383)
Epoch: [16][2290/5005] Time 0.199 (0.223) Data 0.098 (0.072) Loss 2.6234 (2.9164) Prec@1 44.141 (36.599) Prec@5 67.969 (62.390)
Epoch: [16][2300/5005] Time 0.209 (0.223) Data 0.044 (0.072) Loss 2.7050 (2.9163) Prec@1 38.672 (36.603) Prec@5 64.062 (62.392)
Epoch: [16][2310/5005] Time 0.206 (0.223) Data 0.052 (0.072) Loss 2.6007 (2.9162) Prec@1 45.312 (36.610) Prec@5 64.844 (62.394)
Epoch: [16][2320/5005] Time 0.205 (0.223) Data 0.045 (0.072) Loss 2.9703 (2.9161) Prec@1 36.328 (36.612) Prec@5 61.719 (62.396)
Epoch: [16][2330/5005] Time 0.198 (0.223) Data 0.046 (0.073) Loss 2.8776 (2.9160) Prec@1 40.234 (36.618) Prec@5 64.062 (62.399)
Epoch: [16][2340/5005] Time 0.202 (0.223) Data 0.046 (0.073) Loss 2.9475 (2.9158) Prec@1 35.547 (36.618) Prec@5 61.328 (62.403)
Epoch: [16][2350/5005] Time 0.199 (0.223) Data 0.048 (0.073) Loss 2.9532 (2.9155) Prec@1 35.547 (36.624) Prec@5 58.594 (62.403)
Epoch: [16][2360/5005] Time 0.202 (0.223) Data 0.044 (0.073) Loss 2.8806 (2.9156) Prec@1 42.578 (36.629) Prec@5 61.719 (62.400)
Epoch: [16][2370/5005] Time 0.320 (0.223) Data 0.235 (0.073) Loss 2.9875 (2.9158) Prec@1 31.641 (36.620) Prec@5 58.984 (62.396)
Epoch: [16][2380/5005] Time 0.200 (0.223) Data 0.104 (0.073) Loss 3.0329 (2.9157) Prec@1 36.328 (36.622) Prec@5 61.328 (62.398)
Epoch: [16][2390/5005] Time 0.212 (0.223) Data 0.044 (0.073) Loss 3.0624 (2.9157) Prec@1 37.891 (36.625) Prec@5 59.766 (62.398)
Epoch: [16][2400/5005] Time 0.197 (0.223) Data 0.051 (0.073) Loss 2.7912 (2.9157) Prec@1 41.406 (36.620) Prec@5 65.234 (62.398)
Epoch: [16][2410/5005] Time 0.208 (0.223) Data 0.041 (0.073) Loss 3.0212 (2.9157) Prec@1 33.594 (36.616) Prec@5 59.766 (62.396)
Epoch: [16][2420/5005] Time 0.204 (0.223) Data 0.043 (0.073) Loss 3.0247 (2.9155) Prec@1 35.156 (36.624) Prec@5 58.984 (62.405)
Epoch: [16][2430/5005] Time 0.576 (0.223) Data 0.486 (0.073) Loss 2.7150 (2.9155) Prec@1 41.797 (36.627) Prec@5 64.844 (62.400)
Epoch: [16][2440/5005] Time 0.198 (0.224) Data 0.042 (0.073) Loss 2.6836 (2.9155) Prec@1 42.188 (36.632) Prec@5 68.359 (62.399)
Epoch: [16][2450/5005] Time 0.198 (0.224) Data 0.046 (0.073) Loss 2.9198 (2.9153) Prec@1 35.938 (36.635) Prec@5 63.672 (62.404)
Epoch: [16][2460/5005] Time 0.204 (0.223) Data 0.044 (0.073) Loss 2.7382 (2.9152) Prec@1 39.453 (36.637) Prec@5 66.406 (62.405)
Epoch: [16][2470/5005] Time 0.196 (0.223) Data 0.069 (0.073) Loss 2.7758 (2.9152) Prec@1 41.016 (36.638) Prec@5 66.406 (62.406)
Epoch: [16][2480/5005] Time 0.233 (0.223) Data 0.152 (0.073) Loss 3.0380 (2.9152) Prec@1 35.156 (36.642) Prec@5 62.109 (62.409)
Epoch: [16][2490/5005] Time 0.198 (0.223) Data 0.048 (0.073) Loss 2.7635 (2.9152) Prec@1 35.938 (36.637) Prec@5 67.188 (62.411)
Epoch: [16][2500/5005] Time 0.205 (0.223) Data 0.039 (0.073) Loss 2.9972 (2.9150) Prec@1 34.375 (36.638) Prec@5 61.328 (62.410)
Epoch: [16][2510/5005] Time 0.202 (0.223) Data 0.082 (0.073) Loss 3.0288 (2.9151) Prec@1 32.812 (36.634) Prec@5 59.766 (62.409)
Epoch: [16][2520/5005] Time 0.204 (0.223) Data 0.044 (0.073) Loss 2.9929 (2.9151) Prec@1 36.719 (36.634) Prec@5 62.891 (62.411)
Epoch: [16][2530/5005] Time 0.207 (0.223) Data 0.040 (0.073) Loss 3.0174 (2.9151) Prec@1 33.984 (36.636) Prec@5 58.594 (62.411)
Epoch: [16][2540/5005] Time 0.184 (0.224) Data 0.057 (0.073) Loss 2.9803 (2.9150) Prec@1 36.719 (36.641) Prec@5 63.672 (62.414)
Epoch: [16][2550/5005] Time 0.202 (0.224) Data 0.043 (0.073) Loss 3.0240 (2.9150) Prec@1 32.812 (36.642) Prec@5 62.891 (62.414)
Epoch: [16][2560/5005] Time 0.215 (0.223) Data 0.048 (0.073) Loss 3.0966 (2.9150) Prec@1 37.109 (36.647) Prec@5 60.938 (62.415)
Epoch: [16][2570/5005] Time 0.190 (0.224) Data 0.049 (0.073) Loss 2.8585 (2.9150) Prec@1 36.328 (36.644) Prec@5 67.188 (62.415)
Epoch: [16][2580/5005] Time 0.204 (0.223) Data 0.048 (0.073) Loss 2.9671 (2.9154) Prec@1 35.547 (36.635) Prec@5 59.766 (62.408)
Epoch: [16][2590/5005] Time 0.629 (0.224) Data 0.547 (0.073) Loss 3.1812 (2.9152) Prec@1 33.594 (36.640) Prec@5 61.719 (62.410)
Epoch: [16][2600/5005] Time 0.192 (0.224) Data 0.057 (0.073) Loss 2.9547 (2.9153) Prec@1 32.812 (36.635) Prec@5 63.281 (62.407)
Epoch: [16][2610/5005] Time 0.199 (0.224) Data 0.045 (0.073) Loss 3.1596 (2.9152) Prec@1 32.422 (36.635) Prec@5 58.203 (62.410)
Epoch: [16][2620/5005] Time 0.200 (0.224) Data 0.048 (0.073) Loss 2.9202 (2.9154) Prec@1 34.766 (36.628) Prec@5 62.891 (62.408)
Epoch: [16][2630/5005] Time 0.214 (0.224) Data 0.045 (0.073) Loss 3.0821 (2.9158) Prec@1 33.203 (36.623) Prec@5 60.156 (62.400)
Epoch: [16][2640/5005] Time 0.203 (0.224) Data 0.049 (0.073) Loss 2.9560 (2.9158) Prec@1 37.500 (36.625) Prec@5 60.938 (62.399)
Epoch: [16][2650/5005] Time 0.217 (0.224) Data 0.044 (0.073) Loss 3.1431 (2.9160) Prec@1 35.547 (36.623) Prec@5 55.469 (62.389)
Epoch: [16][2660/5005] Time 0.193 (0.224) Data 0.047 (0.073) Loss 2.9807 (2.9160) Prec@1 31.641 (36.625) Prec@5 64.062 (62.389)
Epoch: [16][2670/5005] Time 0.209 (0.224) Data 0.042 (0.073) Loss 2.5216 (2.9156) Prec@1 41.797 (36.635) Prec@5 68.359 (62.393)
Epoch: [16][2680/5005] Time 0.206 (0.224) Data 0.052 (0.073) Loss 2.8297 (2.9157) Prec@1 35.547 (36.630) Prec@5 63.281 (62.387)
Epoch: [16][2690/5005] Time 0.197 (0.224) Data 0.060 (0.073) Loss 2.7673 (2.9156) Prec@1 42.969 (36.637) Prec@5 64.062 (62.389)
Epoch: [16][2700/5005] Time 0.203 (0.224) Data 0.043 (0.073) Loss 2.8660 (2.9157) Prec@1 38.281 (36.636) Prec@5 64.062 (62.388)
Epoch: [16][2710/5005] Time 0.200 (0.223) Data 0.106 (0.073) Loss 2.7358 (2.9158) Prec@1 40.234 (36.629) Prec@5 66.406 (62.383)
Epoch: [16][2720/5005] Time 0.199 (0.223) Data 0.061 (0.073) Loss 2.8830 (2.9158) Prec@1 40.625 (36.632) Prec@5 62.891 (62.383)
Epoch: [16][2730/5005] Time 0.213 (0.223) Data 0.041 (0.073) Loss 3.0269 (2.9157) Prec@1 32.031 (36.639) Prec@5 57.812 (62.384)
Epoch: [16][2740/5005] Time 0.204 (0.223) Data 0.041 (0.073) Loss 2.8738 (2.9157) Prec@1 37.109 (36.639) Prec@5 62.891 (62.386)
Epoch: [16][2750/5005] Time 0.210 (0.223) Data 0.047 (0.073) Loss 2.8731 (2.9155) Prec@1 34.766 (36.643) Prec@5 60.156 (62.386)
Epoch: [16][2760/5005] Time 0.199 (0.224) Data 0.047 (0.074) Loss 2.8606 (2.9154) Prec@1 37.109 (36.641) Prec@5 64.844 (62.390)
Epoch: [16][2770/5005] Time 0.203 (0.224) Data 0.041 (0.074) Loss 2.8228 (2.9155) Prec@1 38.672 (36.640) Prec@5 64.062 (62.386)
Epoch: [16][2780/5005] Time 0.205 (0.224) Data 0.040 (0.074) Loss 3.2823 (2.9154) Prec@1 33.594 (36.645) Prec@5 57.031 (62.393)
Epoch: [16][2790/5005] Time 0.324 (0.224) Data 0.247 (0.074) Loss 3.2524 (2.9155) Prec@1 27.734 (36.643) Prec@5 53.906 (62.393)
Epoch: [16][2800/5005] Time 0.199 (0.224) Data 0.046 (0.074) Loss 2.6844 (2.9155) Prec@1 40.625 (36.642) Prec@5 68.750 (62.393)
Epoch: [16][2810/5005] Time 0.203 (0.224) Data 0.053 (0.074) Loss 3.0336 (2.9155) Prec@1 34.375 (36.639) Prec@5 57.031 (62.392)
Epoch: [16][2820/5005] Time 0.201 (0.224) Data 0.045 (0.074) Loss 2.5822 (2.9155) Prec@1 39.844 (36.639) Prec@5 71.094 (62.395)
Epoch: [16][2830/5005] Time 0.200 (0.224) Data 0.043 (0.074) Loss 3.1104 (2.9157) Prec@1 32.031 (36.636) Prec@5 60.156 (62.391)
Epoch: [16][2840/5005] Time 0.279 (0.224) Data 0.191 (0.074) Loss 2.8856 (2.9156) Prec@1 34.375 (36.635) Prec@5 62.891 (62.396)
Epoch: [16][2850/5005] Time 0.207 (0.224) Data 0.046 (0.074) Loss 2.9241 (2.9154) Prec@1 36.328 (36.633) Prec@5 59.766 (62.398)
Epoch: [16][2860/5005] Time 0.195 (0.224) Data 0.047 (0.074) Loss 3.0081 (2.9156) Prec@1 36.719 (36.633) Prec@5 62.109 (62.397)
Epoch: [16][2870/5005] Time 0.200 (0.224) Data 0.047 (0.074) Loss 2.7986 (2.9153) Prec@1 39.062 (36.638) Prec@5 61.719 (62.403)
Epoch: [16][2880/5005] Time 0.204 (0.224) Data 0.043 (0.074) Loss 2.8784 (2.9153) Prec@1 33.203 (36.637) Prec@5 64.844 (62.406)
Epoch: [16][2890/5005] Time 0.449 (0.224) Data 0.363 (0.074) Loss 2.9204 (2.9151) Prec@1 30.469 (36.636) Prec@5 61.328 (62.410)
Epoch: [16][2900/5005] Time 0.222 (0.224) Data 0.131 (0.074) Loss 2.7577 (2.9150) Prec@1 39.062 (36.637) Prec@5 64.453 (62.413)
Epoch: [16][2910/5005] Time 0.202 (0.224) Data 0.090 (0.074) Loss 3.0048 (2.9151) Prec@1 33.203 (36.636) Prec@5 57.031 (62.410)
Epoch: [16][2920/5005] Time 0.195 (0.224) Data 0.045 (0.074) Loss 3.1117 (2.9151) Prec@1 32.812 (36.636) Prec@5 60.547 (62.412)
Epoch: [16][2930/5005] Time 0.196 (0.224) Data 0.045 (0.074) Loss 3.0290 (2.9151) Prec@1 35.156 (36.637) Prec@5 59.766 (62.415)
Epoch: [16][2940/5005] Time 0.198 (0.224) Data 0.045 (0.074) Loss 2.9623 (2.9150) Prec@1 35.547 (36.635) Prec@5 61.719 (62.415)
Epoch: [16][2950/5005] Time 0.212 (0.224) Data 0.047 (0.074) Loss 3.1537 (2.9148) Prec@1 30.859 (36.638) Prec@5 57.422 (62.421)
Epoch: [16][2960/5005] Time 0.213 (0.224) Data 0.047 (0.074) Loss 3.0300 (2.9148) Prec@1 36.328 (36.640) Prec@5 61.328 (62.420)
Epoch: [16][2970/5005] Time 0.447 (0.224) Data 0.359 (0.075) Loss 3.0281 (2.9147) Prec@1 31.250 (36.637) Prec@5 59.375 (62.424)
Epoch: [16][2980/5005] Time 0.194 (0.224) Data 0.045 (0.075) Loss 3.0616 (2.9149) Prec@1 30.859 (36.632) Prec@5 61.719 (62.421)
Epoch: [16][2990/5005] Time 0.204 (0.224) Data 0.041 (0.075) Loss 2.9472 (2.9149) Prec@1 33.594 (36.633) Prec@5 63.672 (62.418)
Epoch: [16][3000/5005] Time 0.199 (0.224) Data 0.046 (0.074) Loss 2.9593 (2.9149) Prec@1 33.984 (36.629) Prec@5 60.547 (62.418)
Epoch: [16][3010/5005] Time 0.203 (0.224) Data 0.042 (0.074) Loss 2.8418 (2.9149) Prec@1 39.062 (36.633) Prec@5 60.938 (62.415)
Epoch: [16][3020/5005] Time 0.691 (0.224) Data 0.607 (0.075) Loss 2.7796 (2.9151) Prec@1 41.406 (36.633) Prec@5 64.844 (62.409)
Epoch: [16][3030/5005] Time 0.214 (0.224) Data 0.046 (0.074) Loss 2.8625 (2.9151) Prec@1 37.500 (36.634) Prec@5 62.891 (62.409)
Epoch: [16][3040/5005] Time 0.203 (0.224) Data 0.048 (0.074) Loss 2.7566 (2.9151) Prec@1 40.234 (36.640) Prec@5 66.016 (62.408)
Epoch: [16][3050/5005] Time 0.206 (0.224) Data 0.100 (0.074) Loss 2.8661 (2.9150) Prec@1 35.938 (36.641) Prec@5 66.016 (62.412)
Epoch: [16][3060/5005] Time 0.207 (0.224) Data 0.046 (0.074) Loss 2.7838 (2.9151) Prec@1 38.281 (36.639) Prec@5 64.062 (62.408)
Epoch: [16][3070/5005] Time 0.207 (0.224) Data 0.047 (0.074) Loss 3.0198 (2.9152) Prec@1 32.812 (36.634) Prec@5 60.547 (62.409)
Epoch: [16][3080/5005] Time 0.208 (0.224) Data 0.041 (0.074) Loss 2.9378 (2.9153) Prec@1 37.109 (36.633) Prec@5 61.719 (62.404)
Epoch: [16][3090/5005] Time 0.265 (0.224) Data 0.178 (0.074) Loss 3.1644 (2.9153) Prec@1 31.641 (36.630) Prec@5 57.812 (62.406)
Epoch: [16][3100/5005] Time 0.187 (0.224) Data 0.096 (0.075) Loss 2.9204 (2.9153) Prec@1 41.016 (36.630) Prec@5 64.844 (62.405)
Epoch: [16][3110/5005] Time 0.199 (0.224) Data 0.049 (0.075) Loss 2.7488 (2.9152) Prec@1 37.500 (36.631) Prec@5 67.188 (62.410)
Epoch: [16][3120/5005] Time 0.467 (0.224) Data 0.384 (0.075) Loss 3.0628 (2.9152) Prec@1 39.453 (36.629) Prec@5 60.938 (62.407)
Epoch: [16][3130/5005] Time 0.207 (0.224) Data 0.048 (0.075) Loss 2.9712 (2.9151) Prec@1 33.594 (36.628) Prec@5 63.672 (62.409)
Epoch: [16][3140/5005] Time 0.248 (0.224) Data 0.161 (0.075) Loss 2.6446 (2.9148) Prec@1 44.141 (36.638) Prec@5 67.578 (62.415)
Epoch: [16][3150/5005] Time 0.207 (0.224) Data 0.046 (0.075) Loss 2.8654 (2.9148) Prec@1 41.016 (36.640) Prec@5 61.719 (62.414)
Epoch: [16][3160/5005] Time 0.647 (0.224) Data 0.563 (0.075) Loss 2.7721 (2.9148) Prec@1 40.234 (36.643) Prec@5 65.234 (62.420)
Epoch: [16][3170/5005] Time 0.194 (0.224) Data 0.046 (0.075) Loss 2.9848 (2.9148) Prec@1 35.938 (36.643) Prec@5 62.109 (62.420)
Epoch: [16][3180/5005] Time 0.196 (0.224) Data 0.045 (0.075) Loss 2.7822 (2.9148) Prec@1 41.406 (36.646) Prec@5 65.625 (62.422)
Epoch: [16][3190/5005] Time 0.211 (0.224) Data 0.040 (0.075) Loss 2.9550 (2.9150) Prec@1 33.594 (36.642) Prec@5 60.547 (62.420)
Epoch: [16][3200/5005] Time 0.202 (0.224) Data 0.094 (0.075) Loss 3.0679 (2.9151) Prec@1 35.938 (36.643) Prec@5 60.547 (62.419)
Epoch: [16][3210/5005] Time 0.213 (0.224) Data 0.042 (0.075) Loss 3.0362 (2.9151) Prec@1 36.719 (36.644) Prec@5 60.156 (62.420)
Epoch: [16][3220/5005] Time 0.215 (0.224) Data 0.044 (0.075) Loss 2.9929 (2.9151) Prec@1 39.062 (36.645) Prec@5 62.500 (62.422)
Epoch: [16][3230/5005] Time 0.271 (0.224) Data 0.172 (0.075) Loss 2.8926 (2.9150) Prec@1 35.156 (36.646) Prec@5 58.984 (62.420)
Epoch: [16][3240/5005] Time 0.202 (0.224) Data 0.040 (0.075) Loss 3.1503 (2.9153) Prec@1 30.469 (36.641) Prec@5 59.766 (62.412)
Epoch: [16][3250/5005] Time 0.206 (0.224) Data 0.040 (0.075) Loss 2.8429 (2.9154) Prec@1 39.062 (36.639) Prec@5 63.281 (62.413)
Epoch: [16][3260/5005] Time 0.195 (0.224) Data 0.059 (0.075) Loss 3.0009 (2.9155) Prec@1 37.109 (36.638) Prec@5 62.109 (62.412)
Epoch: [16][3270/5005] Time 0.358 (0.224) Data 0.274 (0.075) Loss 3.0676 (2.9154) Prec@1 35.156 (36.644) Prec@5 58.594 (62.413)
Epoch: [16][3280/5005] Time 0.206 (0.224) Data 0.062 (0.075) Loss 2.7875 (2.9155) Prec@1 39.453 (36.641) Prec@5 64.453 (62.411)
Epoch: [16][3290/5005] Time 0.199 (0.224) Data 0.050 (0.075) Loss 3.0283 (2.9155) Prec@1 33.594 (36.638) Prec@5 61.328 (62.411)
Epoch: [16][3300/5005] Time 0.205 (0.224) Data 0.051 (0.075) Loss 2.7996 (2.9154) Prec@1 35.938 (36.641) Prec@5 63.672 (62.414)
Epoch: [16][3310/5005] Time 0.206 (0.224) Data 0.042 (0.075) Loss 2.7876 (2.9154) Prec@1 39.453 (36.643) Prec@5 66.016 (62.415)
Epoch: [16][3320/5005] Time 0.199 (0.224) Data 0.044 (0.075) Loss 2.9460 (2.9153) Prec@1 41.016 (36.642) Prec@5 61.328 (62.416)
Epoch: [16][3330/5005] Time 0.208 (0.224) Data 0.041 (0.075) Loss 3.0173 (2.9153) Prec@1 33.203 (36.640) Prec@5 61.328 (62.418)
Epoch: [16][3340/5005] Time 0.208 (0.224) Data 0.047 (0.075) Loss 2.8729 (2.9152) Prec@1 41.016 (36.645) Prec@5 65.625 (62.421)
Epoch: [16][3350/5005] Time 0.653 (0.224) Data 0.562 (0.075) Loss 2.9942 (2.9152) Prec@1 37.109 (36.643) Prec@5 61.328 (62.426)
Epoch: [16][3360/5005] Time 0.211 (0.224) Data 0.043 (0.075) Loss 2.8817 (2.9153) Prec@1 38.281 (36.642) Prec@5 65.234 (62.428)
Epoch: [16][3370/5005] Time 0.191 (0.224) Data 0.047 (0.075) Loss 2.9391 (2.9153) Prec@1 32.812 (36.644) Prec@5 62.109 (62.427)
Epoch: [16][3380/5005] Time 0.199 (0.224) Data 0.053 (0.075) Loss 2.7979 (2.9152) Prec@1 36.328 (36.645) Prec@5 65.234 (62.429)
Epoch: [16][3390/5005] Time 0.548 (0.224) Data 0.463 (0.075) Loss 2.8128 (2.9154) Prec@1 37.891 (36.642) Prec@5 65.234 (62.425)
Epoch: [16][3400/5005] Time 0.200 (0.224) Data 0.047 (0.076) Loss 2.9280 (2.9155) Prec@1 36.328 (36.639) Prec@5 63.672 (62.423)
Epoch: [16][3410/5005] Time 0.208 (0.224) Data 0.044 (0.076) Loss 2.9564 (2.9154) Prec@1 37.109 (36.645) Prec@5 59.375 (62.425)
Epoch: [16][3420/5005] Time 0.577 (0.224) Data 0.494 (0.076) Loss 2.8861 (2.9154) Prec@1 34.766 (36.642) Prec@5 59.766 (62.424)
Epoch: [16][3430/5005] Time 0.204 (0.224) Data 0.046 (0.076) Loss 2.8834 (2.9155) Prec@1 35.156 (36.641) Prec@5 61.328 (62.424)
Epoch: [16][3440/5005] Time 0.200 (0.224) Data 0.042 (0.076) Loss 3.0494 (2.9155) Prec@1 34.766 (36.642) Prec@5 61.328 (62.424)
Epoch: [16][3450/5005] Time 0.205 (0.224) Data 0.043 (0.076) Loss 2.6786 (2.9154) Prec@1 39.844 (36.643) Prec@5 67.578 (62.425)
Epoch: [16][3460/5005] Time 0.204 (0.224) Data 0.084 (0.076) Loss 2.8965 (2.9154) Prec@1 38.672 (36.646) Prec@5 61.719 (62.425)
Epoch: [16][3470/5005] Time 0.221 (0.224) Data 0.140 (0.076) Loss 2.7785 (2.9152) Prec@1 39.844 (36.649) Prec@5 62.891 (62.428)
Epoch: [16][3480/5005] Time 0.221 (0.224) Data 0.043 (0.076) Loss 2.8561 (2.9150) Prec@1 37.109 (36.650) Prec@5 65.625 (62.430)
Epoch: [16][3490/5005] Time 0.206 (0.224) Data 0.057 (0.076) Loss 3.0939 (2.9152) Prec@1 33.984 (36.646) Prec@5 61.328 (62.424)
Epoch: [16][3500/5005] Time 0.205 (0.224) Data 0.099 (0.076) Loss 2.8090 (2.9152) Prec@1 39.844 (36.648) Prec@5 65.234 (62.428)
Epoch: [16][3510/5005] Time 0.204 (0.224) Data 0.055 (0.076) Loss 2.9448 (2.9151) Prec@1 33.984 (36.645) Prec@5 62.500 (62.429)
Epoch: [16][3520/5005] Time 0.200 (0.224) Data 0.113 (0.076) Loss 2.9674 (2.9152) Prec@1 38.672 (36.644) Prec@5 59.766 (62.426)
Epoch: [16][3530/5005] Time 0.195 (0.224) Data 0.046 (0.076) Loss 2.8101 (2.9150) Prec@1 40.234 (36.649) Prec@5 66.016 (62.431)
Epoch: [16][3540/5005] Time 0.214 (0.224) Data 0.046 (0.076) Loss 2.8531 (2.9148) Prec@1 38.281 (36.650) Prec@5 66.797 (62.435)
Epoch: [16][3550/5005] Time 0.200 (0.224) Data 0.048 (0.076) Loss 2.7963 (2.9148) Prec@1 37.891 (36.651) Prec@5 61.328 (62.435)
Epoch: [16][3560/5005] Time 0.200 (0.224) Data 0.044 (0.076) Loss 3.0010 (2.9148) Prec@1 37.500 (36.654) Prec@5 61.328 (62.432)
Epoch: [16][3570/5005] Time 0.204 (0.224) Data 0.042 (0.076) Loss 2.9957 (2.9147) Prec@1 36.719 (36.655) Prec@5 62.891 (62.433)
Epoch: [16][3580/5005] Time 0.192 (0.224) Data 0.096 (0.076) Loss 2.8398 (2.9148) Prec@1 36.719 (36.651) Prec@5 62.109 (62.430)
Epoch: [16][3590/5005] Time 0.192 (0.224) Data 0.108 (0.076) Loss 2.8914 (2.9145) Prec@1 35.547 (36.655) Prec@5 62.500 (62.435)
Epoch: [16][3600/5005] Time 0.195 (0.224) Data 0.054 (0.076) Loss 2.8784 (2.9145) Prec@1 39.844 (36.657) Prec@5 65.234 (62.437)
Epoch: [16][3610/5005] Time 0.198 (0.224) Data 0.045 (0.076) Loss 2.8438 (2.9145) Prec@1 40.234 (36.656) Prec@5 62.891 (62.438)
Epoch: [16][3620/5005] Time 0.196 (0.224) Data 0.043 (0.076) Loss 3.0128 (2.9143) Prec@1 34.375 (36.658) Prec@5 58.203 (62.440)
Epoch: [16][3630/5005] Time 0.202 (0.224) Data 0.049 (0.076) Loss 3.2801 (2.9142) Prec@1 33.594 (36.659) Prec@5 53.906 (62.442)
Epoch: [16][3640/5005] Time 0.202 (0.224) Data 0.052 (0.076) Loss 2.8661 (2.9142) Prec@1 35.547 (36.658) Prec@5 62.891 (62.443)
Epoch: [16][3650/5005] Time 0.201 (0.224) Data 0.046 (0.076) Loss 2.8162 (2.9143) Prec@1 37.109 (36.660) Prec@5 62.891 (62.442)
Epoch: [16][3660/5005] Time 0.223 (0.224) Data 0.138 (0.076) Loss 2.9492 (2.9140) Prec@1 33.984 (36.661) Prec@5 60.547 (62.446)
Epoch: [16][3670/5005] Time 0.305 (0.224) Data 0.222 (0.076) Loss 2.9704 (2.9142) Prec@1 36.719 (36.656) Prec@5 60.938 (62.442)
Epoch: [16][3680/5005] Time 0.201 (0.224) Data 0.045 (0.076) Loss 2.8012 (2.9144) Prec@1 36.328 (36.654) Prec@5 63.672 (62.436)
Epoch: [16][3690/5005] Time 0.206 (0.224) Data 0.045 (0.076) Loss 2.7785 (2.9145) Prec@1 41.797 (36.652) Prec@5 64.844 (62.436)
Epoch: [16][3700/5005] Time 0.205 (0.224) Data 0.041 (0.076) Loss 2.9803 (2.9145) Prec@1 37.109 (36.652) Prec@5 64.062 (62.438)
Epoch: [16][3710/5005] Time 0.194 (0.224) Data 0.064 (0.076) Loss 2.7914 (2.9145) Prec@1 41.797 (36.652) Prec@5 65.625 (62.439)
Epoch: [16][3720/5005] Time 0.198 (0.224) Data 0.047 (0.077) Loss 3.0402 (2.9145) Prec@1 36.719 (36.651) Prec@5 60.547 (62.437)
Epoch: [16][3730/5005] Time 0.203 (0.224) Data 0.039 (0.076) Loss 2.7680 (2.9144) Prec@1 39.844 (36.655) Prec@5 64.844 (62.437)
Epoch: [16][3740/5005] Time 0.201 (0.224) Data 0.042 (0.076) Loss 2.9215 (2.9141) Prec@1 38.281 (36.658) Prec@5 64.844 (62.443)
Epoch: [16][3750/5005] Time 0.391 (0.224) Data 0.307 (0.076) Loss 2.8557 (2.9142) Prec@1 37.891 (36.657) Prec@5 61.719 (62.439)
Epoch: [16][3760/5005] Time 0.193 (0.224) Data 0.065 (0.077) Loss 3.0521 (2.9143) Prec@1 35.156 (36.658) Prec@5 59.375 (62.438)
Epoch: [16][3770/5005] Time 0.203 (0.224) Data 0.041 (0.077) Loss 3.0801 (2.9142) Prec@1 37.891 (36.658) Prec@5 59.766 (62.438)
Epoch: [16][3780/5005] Time 0.201 (0.224) Data 0.044 (0.077) Loss 2.8519 (2.9142) Prec@1 38.672 (36.660) Prec@5 62.109 (62.439)
Epoch: [16][3790/5005] Time 0.201 (0.224) Data 0.044 (0.077) Loss 3.0789 (2.9143) Prec@1 35.938 (36.659) Prec@5 60.156 (62.437)
Epoch: [16][3800/5005] Time 0.197 (0.224) Data 0.046 (0.077) Loss 2.8044 (2.9144) Prec@1 41.406 (36.660) Prec@5 64.844 (62.435)
Epoch: [16][3810/5005] Time 0.200 (0.224) Data 0.101 (0.077) Loss 3.0255 (2.9146) Prec@1 34.766 (36.656) Prec@5 62.891 (62.432)
Epoch: [16][3820/5005] Time 0.210 (0.224) Data 0.040 (0.077) Loss 2.8831 (2.9146) Prec@1 38.281 (36.653) Prec@5 67.188 (62.436)
Epoch: [16][3830/5005] Time 0.204 (0.224) Data 0.042 (0.077) Loss 2.8533 (2.9145) Prec@1 35.156 (36.655) Prec@5 60.938 (62.437)
Epoch: [16][3840/5005] Time 0.201 (0.224) Data 0.046 (0.077) Loss 3.2073 (2.9147) Prec@1 31.250 (36.655) Prec@5 52.344 (62.433)
Epoch: [16][3850/5005] Time 0.206 (0.224) Data 0.048 (0.077) Loss 2.8853 (2.9146) Prec@1 35.547 (36.652) Prec@5 65.234 (62.436)
Epoch: [16][3860/5005] Time 0.200 (0.224) Data 0.063 (0.077) Loss 2.6505 (2.9146) Prec@1 45.703 (36.656) Prec@5 65.625 (62.436)
Epoch: [16][3870/5005] Time 0.431 (0.224) Data 0.345 (0.077) Loss 2.8910 (2.9148) Prec@1 38.281 (36.652) Prec@5 60.156 (62.429)
Epoch: [16][3880/5005] Time 0.213 (0.224) Data 0.046 (0.077) Loss 2.8293 (2.9149) Prec@1 39.062 (36.650) Prec@5 62.500 (62.429)
Epoch: [16][3890/5005] Time 0.210 (0.224) Data 0.043 (0.077) Loss 2.9985 (2.9149) Prec@1 34.766 (36.652) Prec@5 61.719 (62.427)
Epoch: [16][3900/5005] Time 0.198 (0.224) Data 0.045 (0.077) Loss 3.0745 (2.9149) Prec@1 33.203 (36.651) Prec@5 59.766 (62.428)
Epoch: [16][3910/5005] Time 0.197 (0.224) Data 0.063 (0.077) Loss 2.9170 (2.9148) Prec@1 38.672 (36.654) Prec@5 61.719 (62.431)
Epoch: [16][3920/5005] Time 0.200 (0.224) Data 0.049 (0.077) Loss 2.8952 (2.9149) Prec@1 34.766 (36.653) Prec@5 62.891 (62.431)
Epoch: [16][3930/5005] Time 0.201 (0.224) Data 0.061 (0.077) Loss 2.8461 (2.9146) Prec@1 37.109 (36.657) Prec@5 62.500 (62.433)
Epoch: [16][3940/5005] Time 0.197 (0.224) Data 0.113 (0.077) Loss 2.9177 (2.9146) Prec@1 41.016 (36.658) Prec@5 63.281 (62.435)
Epoch: [16][3950/5005] Time 0.198 (0.224) Data 0.044 (0.077) Loss 2.7687 (2.9144) Prec@1 37.109 (36.660) Prec@5 65.234 (62.436)
Epoch: [16][3960/5005] Time 0.201 (0.224) Data 0.044 (0.077) Loss 2.6543 (2.9144) Prec@1 40.625 (36.658) Prec@5 66.797 (62.435)
Epoch: [16][3970/5005] Time 0.200 (0.224) Data 0.047 (0.077) Loss 2.9067 (2.9145) Prec@1 35.938 (36.658) Prec@5 60.547 (62.433)
Epoch: [16][3980/5005] Time 0.206 (0.224) Data 0.049 (0.077) Loss 2.7120 (2.9144) Prec@1 36.719 (36.659) Prec@5 67.578 (62.434)
Epoch: [16][3990/5005] Time 0.207 (0.224) Data 0.044 (0.077) Loss 3.0418 (2.9145) Prec@1 34.375 (36.656) Prec@5 60.547 (62.432)
Epoch: [16][4000/5005] Time 0.217 (0.224) Data 0.045 (0.077) Loss 2.8612 (2.9145) Prec@1 33.203 (36.651) Prec@5 62.500 (62.433)
Epoch: [16][4010/5005] Time 0.205 (0.224) Data 0.045 (0.077) Loss 3.0131 (2.9143) Prec@1 37.500 (36.652) Prec@5 60.938 (62.436)
Epoch: [16][4020/5005] Time 0.450 (0.224) Data 0.364 (0.077) Loss 3.0042 (2.9144) Prec@1 35.547 (36.651) Prec@5 60.156 (62.435)
Epoch: [16][4030/5005] Time 0.200 (0.224) Data 0.048 (0.077) Loss 3.0882 (2.9147) Prec@1 38.281 (36.650) Prec@5 60.547 (62.430)
Epoch: [16][4040/5005] Time 0.201 (0.224) Data 0.040 (0.077) Loss 2.9382 (2.9148) Prec@1 37.891 (36.649) Prec@5 59.766 (62.430)
Epoch: [16][4050/5005] Time 0.209 (0.224) Data 0.050 (0.077) Loss 3.1349 (2.9147) Prec@1 34.766 (36.654) Prec@5 58.594 (62.431)
Epoch: [16][4060/5005] Time 0.214 (0.224) Data 0.046 (0.077) Loss 2.9631 (2.9147) Prec@1 35.547 (36.653) Prec@5 61.328 (62.428)
Epoch: [16][4070/5005] Time 0.209 (0.224) Data 0.120 (0.077) Loss 3.0813 (2.9148) Prec@1 34.375 (36.655) Prec@5 62.891 (62.428)
Epoch: [16][4080/5005] Time 0.192 (0.224) Data 0.105 (0.077) Loss 2.8030 (2.9148) Prec@1 37.891 (36.655) Prec@5 66.797 (62.428)
Epoch: [16][4090/5005] Time 0.210 (0.224) Data 0.047 (0.077) Loss 2.9592 (2.9148) Prec@1 38.281 (36.655) Prec@5 63.281 (62.427)
Epoch: [16][4100/5005] Time 0.210 (0.224) Data 0.043 (0.077) Loss 2.9144 (2.9147) Prec@1 35.547 (36.655) Prec@5 63.281 (62.427)
Epoch: [16][4110/5005] Time 0.203 (0.224) Data 0.044 (0.077) Loss 3.1491 (2.9148) Prec@1 32.031 (36.654) Prec@5 60.938 (62.425)
Epoch: [16][4120/5005] Time 0.207 (0.224) Data 0.043 (0.077) Loss 3.0239 (2.9146) Prec@1 32.422 (36.658) Prec@5 61.328 (62.429)
Epoch: [16][4130/5005] Time 0.199 (0.224) Data 0.050 (0.077) Loss 3.1451 (2.9147) Prec@1 31.641 (36.654) Prec@5 59.375 (62.428)
Epoch: [16][4140/5005] Time 0.198 (0.224) Data 0.044 (0.077) Loss 2.9257 (2.9146) Prec@1 36.719 (36.656) Prec@5 61.328 (62.427)
Epoch: [16][4150/5005] Time 0.204 (0.224) Data 0.041 (0.077) Loss 3.1643 (2.9147) Prec@1 35.547 (36.655) Prec@5 55.859 (62.425)
Epoch: [16][4160/5005] Time 0.210 (0.224) Data 0.044 (0.077) Loss 3.0105 (2.9149) Prec@1 32.031 (36.650) Prec@5 61.719 (62.421)
Epoch: [16][4170/5005] Time 0.289 (0.224) Data 0.207 (0.077) Loss 2.7027 (2.9148) Prec@1 40.234 (36.654) Prec@5 67.188 (62.425)
Epoch: [16][4180/5005] Time 0.205 (0.224) Data 0.047 (0.077) Loss 2.7426 (2.9147) Prec@1 39.844 (36.655) Prec@5 65.234 (62.425)
Epoch: [16][4190/5005] Time 0.197 (0.224) Data 0.041 (0.077) Loss 2.8654 (2.9148) Prec@1 34.766 (36.654) Prec@5 63.281 (62.421)
Epoch: [16][4200/5005] Time 0.369 (0.224) Data 0.285 (0.077) Loss 2.7367 (2.9147) Prec@1 41.797 (36.656) Prec@5 64.062 (62.420)
Epoch: [16][4210/5005] Time 0.195 (0.224) Data 0.057 (0.077) Loss 2.7982 (2.9147) Prec@1 37.500 (36.655) Prec@5 64.844 (62.420)
Epoch: [16][4220/5005] Time 0.202 (0.224) Data 0.048 (0.077) Loss 3.0363 (2.9149) Prec@1 35.156 (36.652) Prec@5 62.500 (62.417)
Epoch: [16][4230/5005] Time 0.199 (0.224) Data 0.048 (0.077) Loss 2.9630 (2.9150) Prec@1 34.375 (36.650) Prec@5 60.156 (62.417)
Epoch: [16][4240/5005] Time 0.200 (0.224) Data 0.052 (0.077) Loss 2.6142 (2.9150) Prec@1 40.234 (36.647) Prec@5 69.141 (62.417)
Epoch: [16][4250/5005] Time 0.203 (0.224) Data 0.053 (0.077) Loss 2.8082 (2.9149) Prec@1 39.453 (36.649) Prec@5 62.891 (62.418)
Epoch: [16][4260/5005] Time 0.207 (0.224) Data 0.047 (0.077) Loss 2.8927 (2.9149) Prec@1 36.328 (36.650) Prec@5 62.500 (62.418)
Epoch: [16][4270/5005] Time 0.210 (0.224) Data 0.084 (0.077) Loss 3.0666 (2.9150) Prec@1 33.594 (36.647) Prec@5 61.719 (62.417)
Epoch: [16][4280/5005] Time 0.199 (0.224) Data 0.053 (0.077) Loss 3.0863 (2.9150) Prec@1 33.594 (36.646) Prec@5 59.766 (62.418)
Epoch: [16][4290/5005] Time 0.203 (0.224) Data 0.039 (0.077) Loss 2.9595 (2.9150) Prec@1 37.500 (36.649) Prec@5 59.766 (62.417)
Epoch: [16][4300/5005] Time 0.347 (0.224) Data 0.270 (0.077) Loss 2.8453 (2.9150) Prec@1 40.234 (36.651) Prec@5 65.625 (62.420)
Epoch: [16][4310/5005] Time 0.201 (0.224) Data 0.045 (0.077) Loss 2.8371 (2.9150) Prec@1 37.500 (36.651) Prec@5 63.281 (62.421)
Epoch: [16][4320/5005] Time 0.200 (0.224) Data 0.042 (0.078) Loss 2.9443 (2.9150) Prec@1 41.406 (36.653) Prec@5 63.281 (62.423)
Epoch: [16][4330/5005] Time 0.205 (0.224) Data 0.052 (0.077) Loss 2.7915 (2.9150) Prec@1 38.672 (36.653) Prec@5 62.891 (62.423)
Epoch: [16][4340/5005] Time 0.197 (0.224) Data 0.053 (0.077) Loss 2.9097 (2.9150) Prec@1 38.281 (36.653) Prec@5 58.984 (62.420)
Epoch: [16][4350/5005] Time 0.202 (0.224) Data 0.042 (0.077) Loss 2.9295 (2.9149) Prec@1 41.016 (36.656) Prec@5 63.672 (62.422)
Epoch: [16][4360/5005] Time 0.200 (0.224) Data 0.049 (0.077) Loss 2.8755 (2.9148) Prec@1 32.812 (36.655) Prec@5 60.938 (62.424)
Epoch: [16][4370/5005] Time 0.206 (0.224) Data 0.041 (0.077) Loss 2.8674 (2.9149) Prec@1 36.328 (36.654) Prec@5 64.062 (62.423)
Epoch: [16][4380/5005] Time 0.199 (0.224) Data 0.050 (0.077) Loss 3.0571 (2.9149) Prec@1 32.031 (36.653) Prec@5 60.156 (62.422)
Epoch: [16][4390/5005] Time 0.205 (0.224) Data 0.041 (0.077) Loss 3.0803 (2.9148) Prec@1 32.812 (36.655) Prec@5 61.328 (62.424)
Epoch: [16][4400/5005] Time 0.209 (0.224) Data 0.043 (0.077) Loss 2.9037 (2.9148) Prec@1 35.547 (36.656) Prec@5 58.594 (62.422)
Epoch: [16][4410/5005] Time 0.207 (0.224) Data 0.044 (0.077) Loss 3.0050 (2.9149) Prec@1 32.812 (36.654) Prec@5 57.812 (62.421)
Epoch: [16][4420/5005] Time 0.204 (0.224) Data 0.044 (0.077) Loss 2.6382 (2.9149) Prec@1 43.750 (36.651) Prec@5 64.453 (62.419)
Epoch: [16][4430/5005] Time 0.201 (0.224) Data 0.047 (0.077) Loss 2.8865 (2.9146) Prec@1 38.281 (36.658) Prec@5 60.547 (62.421)
Epoch: [16][4440/5005] Time 0.215 (0.224) Data 0.048 (0.077) Loss 2.9731 (2.9146) Prec@1 35.938 (36.658) Prec@5 59.766 (62.423)
Epoch: [16][4450/5005] Time 0.206 (0.224) Data 0.043 (0.077) Loss 2.7371 (2.9147) Prec@1 40.234 (36.657) Prec@5 66.016 (62.420)
Epoch: [16][4460/5005] Time 0.207 (0.224) Data 0.053 (0.077) Loss 2.9745 (2.9146) Prec@1 32.422 (36.657) Prec@5 61.719 (62.421)
Epoch: [16][4470/5005] Time 0.216 (0.224) Data 0.046 (0.077) Loss 3.0113 (2.9148) Prec@1 35.547 (36.655) Prec@5 62.109 (62.420)
Epoch: [16][4480/5005] Time 0.557 (0.224) Data 0.468 (0.077) Loss 2.5398 (2.9149) Prec@1 42.578 (36.652) Prec@5 69.531 (62.419)
Epoch: [16][4490/5005] Time 0.206 (0.224) Data 0.048 (0.077) Loss 2.9791 (2.9151) Prec@1 36.328 (36.650) Prec@5 61.719 (62.415)
Epoch: [16][4500/5005] Time 0.201 (0.224) Data 0.051 (0.077) Loss 2.9482 (2.9151) Prec@1 37.109 (36.651) Prec@5 63.672 (62.417)
Epoch: [16][4510/5005] Time 0.203 (0.224) Data 0.040 (0.077) Loss 2.7701 (2.9152) Prec@1 38.281 (36.648) Prec@5 66.016 (62.414)
Epoch: [16][4520/5005] Time 0.201 (0.224) Data 0.043 (0.077) Loss 2.8568 (2.9151) Prec@1 39.453 (36.651) Prec@5 64.844 (62.417)
Epoch: [16][4530/5005] Time 0.204 (0.224) Data 0.040 (0.077) Loss 2.8444 (2.9150) Prec@1 37.500 (36.651) Prec@5 66.016 (62.416)
Epoch: [16][4540/5005] Time 0.195 (0.224) Data 0.045 (0.077) Loss 3.1048 (2.9153) Prec@1 32.422 (36.645) Prec@5 62.109 (62.413)
Epoch: [16][4550/5005] Time 0.203 (0.224) Data 0.043 (0.077) Loss 2.8942 (2.9153) Prec@1 36.719 (36.643) Prec@5 60.938 (62.412)
Epoch: [16][4560/5005] Time 0.459 (0.224) Data 0.377 (0.077) Loss 2.8682 (2.9153) Prec@1 35.938 (36.644) Prec@5 64.844 (62.411)
Epoch: [16][4570/5005] Time 0.201 (0.224) Data 0.044 (0.077) Loss 3.0150 (2.9152) Prec@1 36.328 (36.646) Prec@5 62.891 (62.413)
Epoch: [16][4580/5005] Time 0.197 (0.224) Data 0.099 (0.077) Loss 2.9241 (2.9152) Prec@1 36.328 (36.648) Prec@5 63.281 (62.413)
Epoch: [16][4590/5005] Time 0.197 (0.224) Data 0.053 (0.077) Loss 2.7988 (2.9153) Prec@1 36.719 (36.647) Prec@5 66.016 (62.413)
Epoch: [16][4600/5005] Time 0.204 (0.224) Data 0.050 (0.077) Loss 2.7146 (2.9154) Prec@1 41.797 (36.645) Prec@5 67.188 (62.411)
Epoch: [16][4610/5005] Time 0.205 (0.224) Data 0.038 (0.077) Loss 2.7151 (2.9153) Prec@1 39.453 (36.648) Prec@5 64.844 (62.411)
Epoch: [16][4620/5005] Time 0.645 (0.224) Data 0.564 (0.077) Loss 2.7997 (2.9154) Prec@1 35.547 (36.646) Prec@5 64.453 (62.412)
Epoch: [16][4630/5005] Time 0.203 (0.224) Data 0.045 (0.077) Loss 2.7241 (2.9153) Prec@1 40.234 (36.647) Prec@5 67.578 (62.414)
Epoch: [16][4640/5005] Time 0.207 (0.224) Data 0.045 (0.077) Loss 2.9386 (2.9153) Prec@1 40.234 (36.648) Prec@5 64.062 (62.413)
Epoch: [16][4650/5005] Time 0.207 (0.224) Data 0.040 (0.077) Loss 2.9450 (2.9153) Prec@1 37.109 (36.650) Prec@5 62.109 (62.413)
Epoch: [16][4660/5005] Time 0.200 (0.224) Data 0.047 (0.077) Loss 3.1358 (2.9152) Prec@1 34.375 (36.653) Prec@5 58.203 (62.412)
Epoch: [16][4670/5005] Time 0.212 (0.224) Data 0.046 (0.077) Loss 2.8929 (2.9152) Prec@1 39.062 (36.655) Prec@5 62.109 (62.412)
Epoch: [16][4680/5005] Time 0.200 (0.224) Data 0.058 (0.077) Loss 2.9425 (2.9151) Prec@1 32.812 (36.656) Prec@5 60.938 (62.411)
Epoch: [16][4690/5005] Time 0.202 (0.224) Data 0.046 (0.077) Loss 2.9393 (2.9152) Prec@1 36.328 (36.654) Prec@5 59.766 (62.411)
Epoch: [16][4700/5005] Time 0.200 (0.224) Data 0.047 (0.077) Loss 2.8593 (2.9152) Prec@1 38.672 (36.655) Prec@5 60.547 (62.412)
Epoch: [16][4710/5005] Time 0.201 (0.224) Data 0.045 (0.077) Loss 2.8170 (2.9150) Prec@1 39.844 (36.659) Prec@5 63.281 (62.415)
Epoch: [16][4720/5005] Time 0.200 (0.224) Data 0.098 (0.077) Loss 2.8446 (2.9151) Prec@1 37.109 (36.656) Prec@5 64.062 (62.412)
Epoch: [16][4730/5005] Time 0.210 (0.224) Data 0.044 (0.077) Loss 2.9809 (2.9152) Prec@1 34.375 (36.653) Prec@5 59.375 (62.410)
Epoch: [16][4740/5005] Time 0.199 (0.224) Data 0.049 (0.077) Loss 2.9063 (2.9151) Prec@1 33.203 (36.653) Prec@5 61.719 (62.411)
Epoch: [16][4750/5005] Time 0.198 (0.224) Data 0.047 (0.077) Loss 2.9625 (2.9151) Prec@1 37.500 (36.653) Prec@5 61.328 (62.412)
Epoch: [16][4760/5005] Time 0.187 (0.224) Data 0.052 (0.077) Loss 3.1531 (2.9149) Prec@1 31.641 (36.654) Prec@5 57.031 (62.413)
Epoch: [16][4770/5005] Time 0.213 (0.224) Data 0.051 (0.077) Loss 2.7608 (2.9149) Prec@1 39.062 (36.655) Prec@5 64.062 (62.414)
Epoch: [16][4780/5005] Time 0.202 (0.224) Data 0.040 (0.077) Loss 3.0707 (2.9149) Prec@1 35.156 (36.655) Prec@5 60.547 (62.415)
Epoch: [16][4790/5005] Time 0.209 (0.224) Data 0.043 (0.077) Loss 3.0493 (2.9149) Prec@1 39.062 (36.659) Prec@5 61.719 (62.416)
Epoch: [16][4800/5005] Time 0.203 (0.224) Data 0.048 (0.077) Loss 2.9581 (2.9149) Prec@1 32.422 (36.655) Prec@5 62.109 (62.416)
Epoch: [16][4810/5005] Time 0.198 (0.224) Data 0.046 (0.077) Loss 3.0452 (2.9149) Prec@1 35.938 (36.655) Prec@5 61.719 (62.416)
Epoch: [16][4820/5005] Time 0.204 (0.224) Data 0.091 (0.077) Loss 3.2001 (2.9148) Prec@1 33.594 (36.658) Prec@5 56.250 (62.418)
Epoch: [16][4830/5005] Time 0.234 (0.224) Data 0.146 (0.077) Loss 2.9939 (2.9147) Prec@1 35.938 (36.659) Prec@5 59.766 (62.419)
Epoch: [16][4840/5005] Time 0.675 (0.224) Data 0.591 (0.077) Loss 2.6289 (2.9149) Prec@1 41.016 (36.656) Prec@5 64.062 (62.415)
Epoch: [16][4850/5005] Time 0.206 (0.224) Data 0.066 (0.077) Loss 2.9786 (2.9151) Prec@1 37.109 (36.655) Prec@5 59.766 (62.411)
Epoch: [16][4860/5005] Time 0.211 (0.224) Data 0.046 (0.077) Loss 2.8956 (2.9151) Prec@1 33.984 (36.654) Prec@5 64.062 (62.410)
Epoch: [16][4870/5005] Time 0.203 (0.224) Data 0.051 (0.077) Loss 2.8808 (2.9151) Prec@1 39.844 (36.657) Prec@5 63.672 (62.409)
Epoch: [16][4880/5005] Time 0.201 (0.224) Data 0.050 (0.077) Loss 2.9807 (2.9151) Prec@1 32.812 (36.660) Prec@5 60.547 (62.409)
Epoch: [16][4890/5005] Time 0.198 (0.224) Data 0.052 (0.077) Loss 2.9041 (2.9150) Prec@1 35.547 (36.658) Prec@5 63.281 (62.408)
Epoch: [16][4900/5005] Time 0.195 (0.224) Data 0.116 (0.077) Loss 2.7506 (2.9150) Prec@1 36.328 (36.658) Prec@5 63.672 (62.409)
Epoch: [16][4910/5005] Time 0.195 (0.224) Data 0.050 (0.077) Loss 3.0470 (2.9149) Prec@1 36.328 (36.659) Prec@5 62.109 (62.410)
Epoch: [16][4920/5005] Time 0.203 (0.224) Data 0.088 (0.078) Loss 2.9592 (2.9149) Prec@1 35.156 (36.656) Prec@5 62.500 (62.411)
Epoch: [16][4930/5005] Time 0.196 (0.224) Data 0.057 (0.078) Loss 2.9430 (2.9149) Prec@1 40.625 (36.657) Prec@5 62.891 (62.412)
Epoch: [16][4940/5005] Time 0.204 (0.224) Data 0.063 (0.078) Loss 2.8609 (2.9149) Prec@1 37.500 (36.657) Prec@5 64.844 (62.410)
Epoch: [16][4950/5005] Time 0.324 (0.224) Data 0.234 (0.078) Loss 2.6226 (2.9150) Prec@1 40.234 (36.656) Prec@5 68.359 (62.408)
Epoch: [16][4960/5005] Time 0.208 (0.224) Data 0.045 (0.078) Loss 2.9436 (2.9150) Prec@1 37.891 (36.656) Prec@5 64.062 (62.409)
Epoch: [16][4970/5005] Time 0.205 (0.224) Data 0.045 (0.078) Loss 2.9986 (2.9150) Prec@1 32.812 (36.655) Prec@5 60.156 (62.409)
Epoch: [16][4980/5005] Time 0.200 (0.224) Data 0.059 (0.078) Loss 2.9836 (2.9150) Prec@1 35.938 (36.655) Prec@5 61.719 (62.410)
Epoch: [16][4990/5005] Time 0.202 (0.224) Data 0.032 (0.078) Loss 3.0150 (2.9149) Prec@1 28.906 (36.654) Prec@5 57.422 (62.411)
Epoch: [16][5000/5005] Time 0.199 (0.224) Data 0.025 (0.078) Loss 2.9639 (2.9150) Prec@1 35.156 (36.651) Prec@5 62.109 (62.410)
Test: [0/196] Time 2.623 (2.623) Loss 2.8163 (2.8163) Prec@1 38.672 (38.672) Prec@5 65.234 (65.234)
Test: [10/196] Time 0.042 (0.421) Loss 2.9691 (3.0144) Prec@1 37.109 (35.582) Prec@5 61.328 (62.038)
Test: [20/196] Time 0.045 (0.303) Loss 2.9677 (3.0200) Prec@1 35.547 (35.379) Prec@5 58.594 (61.291)
Test: [30/196] Time 0.042 (0.272) Loss 2.9131 (3.0322) Prec@1 33.984 (34.904) Prec@5 63.672 (60.950)
Test: [40/196] Time 0.548 (0.277) Loss 2.8750 (3.0329) Prec@1 37.109 (34.975) Prec@5 62.891 (60.842)
Test: [50/196] Time 0.044 (0.265) Loss 3.0739 (3.0362) Prec@1 35.156 (34.972) Prec@5 62.891 (60.746)
Test: [60/196] Time 0.390 (0.257) Loss 2.8867 (3.0226) Prec@1 42.578 (35.252) Prec@5 59.375 (60.963)
Test: [70/196] Time 0.474 (0.252) Loss 2.9014 (3.0090) Prec@1 38.672 (35.453) Prec@5 62.891 (61.273)
Test: [80/196] Time 0.042 (0.247) Loss 2.7762 (3.0123) Prec@1 39.844 (35.523) Prec@5 68.750 (61.106)
Test: [90/196] Time 0.300 (0.245) Loss 3.0291 (3.0131) Prec@1 35.156 (35.405) Prec@5 62.891 (61.049)
Test: [100/196] Time 0.109 (0.241) Loss 3.1367 (3.0120) Prec@1 38.672 (35.574) Prec@5 60.547 (61.073)
Test: [110/196] Time 0.044 (0.242) Loss 3.2729 (3.0153) Prec@1 31.250 (35.586) Prec@5 56.250 (61.011)
Test: [120/196] Time 0.532 (0.241) Loss 2.9662 (3.0126) Prec@1 32.812 (35.566) Prec@5 60.156 (61.041)
Test: [130/196] Time 0.217 (0.237) Loss 2.6517 (3.0089) Prec@1 41.016 (35.681) Prec@5 69.141 (61.143)
Test: [140/196] Time 0.578 (0.237) Loss 2.8086 (3.0113) Prec@1 42.969 (35.683) Prec@5 64.453 (61.106)
Test: [150/196] Time 0.043 (0.234) Loss 2.6535 (3.0084) Prec@1 40.625 (35.756) Prec@5 66.797 (61.199)
Test: [160/196] Time 0.043 (0.233) Loss 2.9252 (3.0068) Prec@1 39.844 (35.787) Prec@5 60.156 (61.175)
Test: [170/196] Time 0.821 (0.237) Loss 2.8324 (3.0068) Prec@1 40.625 (35.821) Prec@5 66.016 (61.171)
Test: [180/196] Time 0.044 (0.235) Loss 3.2375 (3.0129) Prec@1 32.812 (35.679) Prec@5 57.812 (61.011)
Test: [190/196] Time 0.048 (0.234) Loss 3.2685 (3.0168) Prec@1 33.203 (35.641) Prec@5 54.688 (60.837)
* Prec@1 35.582 Prec@5 60.824
Learning rate: 0.001
Epoch: [17][0/5005] Time 2.283 (2.283) Data 2.183 (2.183) Loss 2.7480 (2.7480) Prec@1 41.406 (41.406) Prec@5 63.281 (63.281)
Epoch: [17][10/5005] Time 0.189 (0.390) Data 0.044 (0.241) Loss 2.8476 (2.9029) Prec@1 36.719 (36.186) Prec@5 63.672 (62.678)
Epoch: [17][20/5005] Time 0.206 (0.301) Data 0.045 (0.147) Loss 3.0368 (2.9207) Prec@1 37.109 (35.491) Prec@5 63.672 (62.277)
Epoch: [17][30/5005] Time 0.197 (0.269) Data 0.043 (0.114) Loss 2.8197 (2.8890) Prec@1 38.281 (36.064) Prec@5 62.109 (62.563)
Epoch: [17][40/5005] Time 0.193 (0.251) Data 0.040 (0.097) Loss 2.7353 (2.8959) Prec@1 39.453 (36.080) Prec@5 66.406 (62.691)
Epoch: [17][50/5005] Time 0.202 (0.241) Data 0.057 (0.087) Loss 2.7187 (2.8912) Prec@1 40.234 (36.221) Prec@5 66.406 (62.623)
Epoch: [17][60/5005] Time 0.194 (0.234) Data 0.040 (0.080) Loss 2.6694 (2.8834) Prec@1 37.109 (36.200) Prec@5 69.922 (62.763)
Epoch: [17][70/5005] Time 0.196 (0.231) Data 0.047 (0.075) Loss 2.8195 (2.8967) Prec@1 36.328 (36.004) Prec@5 64.844 (62.500)
Epoch: [17][80/5005] Time 0.203 (0.227) Data 0.044 (0.072) Loss 2.7515 (2.8894) Prec@1 39.844 (36.169) Prec@5 65.625 (62.731)
Epoch: [17][90/5005] Time 0.192 (0.224) Data 0.044 (0.069) Loss 3.0776 (2.8880) Prec@1 38.672 (36.375) Prec@5 59.375 (62.826)
Epoch: [17][100/5005] Time 0.191 (0.222) Data 0.048 (0.066) Loss 2.5843 (2.8902) Prec@1 41.406 (36.429) Prec@5 67.969 (62.717)
Epoch: [17][110/5005] Time 0.196 (0.220) Data 0.054 (0.064) Loss 2.9290 (2.8985) Prec@1 37.500 (36.451) Prec@5 59.766 (62.613)
Epoch: [17][120/5005] Time 0.192 (0.218) Data 0.042 (0.063) Loss 2.8569 (2.8984) Prec@1 35.547 (36.512) Prec@5 62.500 (62.561)
Epoch: [17][130/5005] Time 0.206 (0.222) Data 0.044 (0.062) Loss 2.9932 (2.8991) Prec@1 37.109 (36.585) Prec@5 61.328 (62.566)
Epoch: [17][140/5005] Time 0.207 (0.220) Data 0.039 (0.060) Loss 2.8844 (2.8974) Prec@1 36.328 (36.553) Prec@5 62.500 (62.622)
Epoch: [17][150/5005] Time 0.358 (0.221) Data 0.272 (0.064) Loss 3.0206 (2.8985) Prec@1 35.156 (36.540) Prec@5 57.422 (62.614)
Epoch: [17][160/5005] Time 0.205 (0.222) Data 0.124 (0.067) Loss 2.8770 (2.8993) Prec@1 36.719 (36.556) Prec@5 62.500 (62.648)
Epoch: [17][170/5005] Time 0.192 (0.224) Data 0.046 (0.070) Loss 2.9856 (2.8995) Prec@1 37.109 (36.595) Prec@5 62.891 (62.605)
Epoch: [17][180/5005] Time 0.210 (0.224) Data 0.048 (0.071) Loss 3.1274 (2.9011) Prec@1 34.375 (36.626) Prec@5 55.859 (62.625)
Epoch: [17][190/5005] Time 0.210 (0.224) Data 0.115 (0.072) Loss 3.0179 (2.9061) Prec@1 35.938 (36.533) Prec@5 61.328 (62.496)
Epoch: [17][200/5005] Time 0.529 (0.225) Data 0.444 (0.075) Loss 3.0144 (2.9070) Prec@1 36.328 (36.530) Prec@5 57.812 (62.424)
Epoch: [17][210/5005] Time 0.244 (0.226) Data 0.156 (0.075) Loss 2.6165 (2.9061) Prec@1 39.453 (36.515) Prec@5 65.625 (62.426)
Epoch: [17][220/5005] Time 0.217 (0.226) Data 0.041 (0.076) Loss 2.9623 (2.9064) Prec@1 34.375 (36.503) Prec@5 62.109 (62.442)
Epoch: [17][230/5005] Time 0.216 (0.227) Data 0.049 (0.076) Loss 2.9172 (2.9056) Prec@1 35.156 (36.534) Prec@5 60.547 (62.485)
Epoch: [17][240/5005] Time 0.212 (0.227) Data 0.048 (0.077) Loss 2.8294 (2.9045) Prec@1 38.672 (36.534) Prec@5 66.406 (62.502)
Epoch: [17][250/5005] Time 0.601 (0.228) Data 0.504 (0.078) Loss 2.9467 (2.9024) Prec@1 37.891 (36.579) Prec@5 62.109 (62.536)
Epoch: [17][260/5005] Time 0.204 (0.229) Data 0.044 (0.078) Loss 2.7965 (2.9014) Prec@1 35.547 (36.627) Prec@5 65.234 (62.540)
Epoch: [17][270/5005] Time 0.209 (0.230) Data 0.045 (0.079) Loss 2.8424 (2.9005) Prec@1 39.062 (36.638) Prec@5 58.984 (62.549)
Epoch: [17][280/5005] Time 0.210 (0.229) Data 0.045 (0.079) Loss 3.3091 (2.9041) Prec@1 31.250 (36.578) Prec@5 56.250 (62.487)
Epoch: [17][290/5005] Time 0.202 (0.229) Data 0.107 (0.080) Loss 2.7654 (2.9064) Prec@1 39.062 (36.542) Prec@5 63.672 (62.440)
Epoch: [17][300/5005] Time 0.211 (0.231) Data 0.046 (0.082) Loss 2.7487 (2.9055) Prec@1 38.281 (36.570) Prec@5 66.406 (62.500)
Epoch: [17][310/5005] Time 0.199 (0.230) Data 0.050 (0.082) Loss 2.7963 (2.9015) Prec@1 37.500 (36.657) Prec@5 62.500 (62.570)
Epoch: [17][320/5005] Time 0.203 (0.231) Data 0.093 (0.083) Loss 2.9890 (2.9017) Prec@1 34.766 (36.704) Prec@5 62.109 (62.586)
Epoch: [17][330/5005] Time 0.204 (0.231) Data 0.045 (0.083) Loss 2.5955 (2.8998) Prec@1 39.844 (36.694) Prec@5 69.922 (62.638)
Epoch: [17][340/5005] Time 0.403 (0.232) Data 0.321 (0.084) Loss 3.0109 (2.9037) Prec@1 37.500 (36.663) Prec@5 63.281 (62.571)
Epoch: [17][350/5005] Time 0.215 (0.231) Data 0.082 (0.084) Loss 3.0289 (2.9033) Prec@1 35.156 (36.671) Prec@5 62.109 (62.553)
Epoch: [17][360/5005] Time 0.215 (0.231) Data 0.046 (0.084) Loss 3.0146 (2.9027) Prec@1 33.984 (36.684) Prec@5 61.328 (62.553)
Epoch: [17][370/5005] Time 0.211 (0.231) Data 0.047 (0.083) Loss 2.8498 (2.9007) Prec@1 36.328 (36.713) Prec@5 62.891 (62.599)
Epoch: [17][380/5005] Time 0.205 (0.230) Data 0.042 (0.082) Loss 2.9503 (2.9005) Prec@1 37.891 (36.727) Prec@5 61.719 (62.617)
Epoch: [17][390/5005] Time 0.214 (0.230) Data 0.043 (0.081) Loss 2.9452 (2.9011) Prec@1 34.766 (36.688) Prec@5 65.234 (62.606)
Epoch: [17][400/5005] Time 0.213 (0.229) Data 0.045 (0.080) Loss 2.8113 (2.9002) Prec@1 35.156 (36.691) Prec@5 64.844 (62.637)
Epoch: [17][410/5005] Time 0.207 (0.229) Data 0.053 (0.079) Loss 2.6754 (2.9004) Prec@1 38.672 (36.706) Prec@5 69.922 (62.625)
Epoch: [17][420/5005] Time 0.214 (0.228) Data 0.049 (0.079) Loss 2.8474 (2.9008) Prec@1 35.156 (36.711) Prec@5 65.625 (62.635)
Epoch: [17][430/5005] Time 0.212 (0.228) Data 0.049 (0.078) Loss 2.8698 (2.9012) Prec@1 42.188 (36.717) Prec@5 60.547 (62.626)
Epoch: [17][440/5005] Time 0.210 (0.228) Data 0.049 (0.078) Loss 2.8262 (2.9005) Prec@1 38.281 (36.717) Prec@5 66.406 (62.648)
Epoch: [17][450/5005] Time 0.207 (0.227) Data 0.044 (0.077) Loss 2.6825 (2.9006) Prec@1 37.109 (36.710) Prec@5 63.672 (62.646)
Epoch: [17][460/5005] Time 0.212 (0.227) Data 0.057 (0.077) Loss 2.9597 (2.9008) Prec@1 36.719 (36.703) Prec@5 61.328 (62.663)
Epoch: [17][470/5005] Time 0.206 (0.227) Data 0.046 (0.076) Loss 2.9009 (2.9009) Prec@1 35.156 (36.704) Prec@5 61.719 (62.650)
Epoch: [17][480/5005] Time 0.205 (0.226) Data 0.046 (0.075) Loss 2.9419 (2.9007) Prec@1 39.844 (36.716) Prec@5 63.281 (62.670)
Epoch: [17][490/5005] Time 0.209 (0.226) Data 0.042 (0.075) Loss 2.8435 (2.9013) Prec@1 44.531 (36.713) Prec@5 64.453 (62.679)
Epoch: [17][500/5005] Time 0.214 (0.226) Data 0.039 (0.074) Loss 3.0085 (2.9034) Prec@1 39.844 (36.716) Prec@5 60.547 (62.642)
Epoch: [17][510/5005] Time 0.198 (0.225) Data 0.060 (0.074) Loss 3.1096 (2.9042) Prec@1 34.375 (36.737) Prec@5 55.859 (62.628)
Epoch: [17][520/5005] Time 0.206 (0.225) Data 0.047 (0.073) Loss 2.8360 (2.9035) Prec@1 36.328 (36.746) Prec@5 63.672 (62.639)
Epoch: [17][530/5005] Time 0.213 (0.225) Data 0.042 (0.073) Loss 2.9051 (2.9036) Prec@1 37.500 (36.744) Prec@5 61.328 (62.623)
Epoch: [17][540/5005] Time 0.212 (0.224) Data 0.040 (0.072) Loss 3.0639 (2.9039) Prec@1 32.812 (36.753) Prec@5 56.250 (62.617)
Epoch: [17][550/5005] Time 0.214 (0.224) Data 0.044 (0.072) Loss 2.9480 (2.9034) Prec@1 37.891 (36.743) Prec@5 60.156 (62.613)
Epoch: [17][560/5005] Time 0.209 (0.224) Data 0.040 (0.071) Loss 3.0078 (2.9036) Prec@1 36.719 (36.747) Prec@5 61.328 (62.591)
Epoch: [17][570/5005] Time 0.205 (0.224) Data 0.060 (0.071) Loss 2.9588 (2.9048) Prec@1 35.156 (36.732) Prec@5 62.500 (62.574)
Epoch: [17][580/5005] Time 0.208 (0.223) Data 0.044 (0.071) Loss 2.8387 (2.9042) Prec@1 39.844 (36.738) Prec@5 64.844 (62.596)
Epoch: [17][590/5005] Time 0.200 (0.223) Data 0.049 (0.070) Loss 3.0153 (2.9044) Prec@1 35.156 (36.734) Prec@5 59.766 (62.589)
Epoch: [17][600/5005] Time 0.219 (0.223) Data 0.044 (0.070) Loss 2.9812 (2.9056) Prec@1 34.766 (36.707) Prec@5 62.891 (62.568)
Epoch: [17][610/5005] Time 0.203 (0.223) Data 0.060 (0.069) Loss 2.7879 (2.9046) Prec@1 39.062 (36.716) Prec@5 66.406 (62.577)
Epoch: [17][620/5005] Time 0.220 (0.223) Data 0.046 (0.069) Loss 2.8424 (2.9045) Prec@1 41.016 (36.731) Prec@5 65.625 (62.584)
Epoch: [17][630/5005] Time 0.214 (0.222) Data 0.040 (0.069) Loss 3.0948 (2.9043) Prec@1 33.594 (36.747) Prec@5 60.547 (62.606)
Epoch: [17][640/5005] Time 0.212 (0.222) Data 0.041 (0.068) Loss 2.8228 (2.9037) Prec@1 37.109 (36.755) Prec@5 63.672 (62.620)
Epoch: [17][650/5005] Time 0.213 (0.222) Data 0.043 (0.068) Loss 3.1850 (2.9054) Prec@1 33.203 (36.734) Prec@5 55.859 (62.597)
Epoch: [17][660/5005] Time 0.208 (0.222) Data 0.043 (0.068) Loss 2.9387 (2.9043) Prec@1 37.500 (36.749) Prec@5 66.406 (62.624)
Epoch: [17][670/5005] Time 0.214 (0.222) Data 0.044 (0.067) Loss 3.1981 (2.9048) Prec@1 32.422 (36.744) Prec@5 56.641 (62.615)
Epoch: [17][680/5005] Time 0.209 (0.222) Data 0.043 (0.067) Loss 2.9197 (2.9051) Prec@1 38.672 (36.742) Prec@5 63.672 (62.599)
Epoch: [17][690/5005] Time 0.211 (0.222) Data 0.044 (0.067) Loss 2.7835 (2.9049) Prec@1 33.594 (36.733) Prec@5 66.016 (62.603)
Epoch: [17][700/5005] Time 0.208 (0.221) Data 0.042 (0.066) Loss 2.9255 (2.9041) Prec@1 39.453 (36.748) Prec@5 62.109 (62.618)
Epoch: [17][710/5005] Time 0.210 (0.221) Data 0.043 (0.066) Loss 2.7757 (2.9038) Prec@1 39.453 (36.766) Prec@5 62.891 (62.624)
Epoch: [17][720/5005] Time 0.213 (0.221) Data 0.042 (0.066) Loss 2.8547 (2.9026) Prec@1 37.500 (36.791) Prec@5 65.234 (62.654)
Epoch: [17][730/5005] Time 0.207 (0.221) Data 0.056 (0.065) Loss 3.0388 (2.9034) Prec@1 35.547 (36.787) Prec@5 60.547 (62.644)
Epoch: [17][740/5005] Time 0.201 (0.221) Data 0.046 (0.065) Loss 3.0036 (2.9038) Prec@1 35.547 (36.793) Prec@5 56.641 (62.627)
Epoch: [17][750/5005] Time 0.207 (0.221) Data 0.044 (0.065) Loss 2.7203 (2.9035) Prec@1 37.109 (36.790) Prec@5 66.406 (62.635)
Epoch: [17][760/5005] Time 0.211 (0.220) Data 0.043 (0.065) Loss 2.9832 (2.9038) Prec@1 36.328 (36.783) Prec@5 61.719 (62.628)
Epoch: [17][770/5005] Time 0.210 (0.220) Data 0.048 (0.064) Loss 2.9365 (2.9028) Prec@1 35.547 (36.796) Prec@5 61.328 (62.651)
Epoch: [17][780/5005] Time 0.204 (0.220) Data 0.047 (0.064) Loss 2.9441 (2.9024) Prec@1 35.156 (36.804) Prec@5 61.328 (62.658)
Epoch: [17][790/5005] Time 0.225 (0.220) Data 0.047 (0.064) Loss 2.9438 (2.9020) Prec@1 38.672 (36.820) Prec@5 63.672 (62.667)
Epoch: [17][800/5005] Time 0.206 (0.220) Data 0.043 (0.064) Loss 2.8505 (2.9014) Prec@1 36.328 (36.841) Prec@5 61.719 (62.680)
Epoch: [17][810/5005] Time 0.197 (0.220) Data 0.108 (0.064) Loss 3.0020 (2.9017) Prec@1 33.594 (36.832) Prec@5 63.281 (62.680)
Epoch: [17][820/5005] Time 0.205 (0.220) Data 0.045 (0.064) Loss 2.9222 (2.9020) Prec@1 37.109 (36.827) Prec@5 64.062 (62.683)
Epoch: [17][830/5005] Time 0.204 (0.220) Data 0.042 (0.065) Loss 2.8861 (2.9021) Prec@1 35.938 (36.829) Prec@5 62.500 (62.670)
Epoch: [17][840/5005] Time 0.513 (0.220) Data 0.436 (0.065) Loss 2.8002 (2.9022) Prec@1 38.672 (36.829) Prec@5 63.281 (62.672)
Epoch: [17][850/5005] Time 0.254 (0.220) Data 0.169 (0.065) Loss 3.0420 (2.9013) Prec@1 38.672 (36.843) Prec@5 60.156 (62.685)
Epoch: [17][860/5005] Time 0.208 (0.220) Data 0.046 (0.066) Loss 2.8558 (2.9011) Prec@1 41.797 (36.862) Prec@5 64.453 (62.693)
Epoch: [17][870/5005] Time 0.202 (0.221) Data 0.043 (0.066) Loss 2.9324 (2.9003) Prec@1 38.281 (36.874) Prec@5 60.938 (62.696)
Epoch: [17][880/5005] Time 0.197 (0.221) Data 0.049 (0.066) Loss 2.8620 (2.9001) Prec@1 37.109 (36.882) Prec@5 62.500 (62.704)
Epoch: [17][890/5005] Time 0.201 (0.221) Data 0.049 (0.066) Loss 3.2293 (2.9005) Prec@1 33.594 (36.874) Prec@5 56.641 (62.683)
Epoch: [17][900/5005] Time 0.196 (0.221) Data 0.052 (0.066) Loss 2.8910 (2.9005) Prec@1 38.672 (36.874) Prec@5 62.891 (62.687)
Epoch: [17][910/5005] Time 0.212 (0.221) Data 0.047 (0.067) Loss 2.8538 (2.9003) Prec@1 33.203 (36.867) Prec@5 64.844 (62.685)
Epoch: [17][920/5005] Time 0.209 (0.221) Data 0.048 (0.067) Loss 2.9815 (2.8997) Prec@1 33.984 (36.874) Prec@5 64.844 (62.696)
Epoch: [17][930/5005] Time 0.203 (0.221) Data 0.048 (0.067) Loss 2.9141 (2.8991) Prec@1 36.328 (36.889) Prec@5 60.156 (62.702)
Epoch: [17][940/5005] Time 0.200 (0.222) Data 0.052 (0.069) Loss 2.7401 (2.8989) Prec@1 37.500 (36.887) Prec@5 65.234 (62.712)
Epoch: [17][950/5005] Time 0.198 (0.222) Data 0.087 (0.069) Loss 3.0920 (2.8998) Prec@1 30.469 (36.868) Prec@5 62.891 (62.711)
Epoch: [17][960/5005] Time 0.640 (0.223) Data 0.554 (0.070) Loss 3.1020 (2.9002) Prec@1 34.766 (36.868) Prec@5 58.984 (62.705)
Epoch: [17][970/5005] Time 0.203 (0.223) Data 0.050 (0.070) Loss 2.8181 (2.9005) Prec@1 36.328 (36.860) Prec@5 63.281 (62.701)
Epoch: [17][980/5005] Time 0.189 (0.223) Data 0.055 (0.071) Loss 2.8841 (2.9002) Prec@1 37.500 (36.864) Prec@5 61.328 (62.707)
Epoch: [17][990/5005] Time 0.202 (0.223) Data 0.042 (0.070) Loss 2.9457 (2.9006) Prec@1 37.500 (36.848) Prec@5 63.281 (62.704)
Epoch: [17][1000/5005] Time 0.203 (0.223) Data 0.043 (0.070) Loss 2.8451 (2.9003) Prec@1 38.672 (36.856) Prec@5 64.062 (62.708)
Epoch: [17][1010/5005] Time 0.206 (0.223) Data 0.040 (0.070) Loss 2.7934 (2.8996) Prec@1 37.500 (36.864) Prec@5 66.406 (62.724)
Epoch: [17][1020/5005] Time 0.206 (0.223) Data 0.043 (0.070) Loss 2.7944 (2.9000) Prec@1 38.281 (36.863) Prec@5 64.062 (62.709)
Epoch: [17][1030/5005] Time 0.209 (0.223) Data 0.041 (0.069) Loss 2.8661 (2.8991) Prec@1 35.156 (36.876) Prec@5 63.672 (62.716)
Epoch: [17][1040/5005] Time 0.214 (0.223) Data 0.045 (0.069) Loss 2.9651 (2.8992) Prec@1 35.156 (36.875) Prec@5 60.547 (62.707)
Epoch: [17][1050/5005] Time 0.215 (0.222) Data 0.047 (0.069) Loss 3.0703 (2.8998) Prec@1 32.422 (36.861) Prec@5 62.109 (62.705)
Epoch: [17][1060/5005] Time 0.200 (0.222) Data 0.048 (0.069) Loss 3.0785 (2.9004) Prec@1 36.719 (36.851) Prec@5 60.547 (62.701)
Epoch: [17][1070/5005] Time 0.217 (0.222) Data 0.042 (0.069) Loss 2.7466 (2.9001) Prec@1 42.578 (36.866) Prec@5 67.188 (62.703)
Epoch: [17][1080/5005] Time 0.204 (0.222) Data 0.056 (0.068) Loss 2.9447 (2.9005) Prec@1 38.281 (36.865) Prec@5 61.328 (62.695)
Epoch: [17][1090/5005] Time 0.208 (0.222) Data 0.040 (0.068) Loss 2.6863 (2.9003) Prec@1 40.234 (36.860) Prec@5 66.406 (62.708)
Epoch: [17][1100/5005] Time 0.207 (0.222) Data 0.049 (0.068) Loss 2.9275 (2.9002) Prec@1 38.672 (36.865) Prec@5 60.938 (62.705)
Epoch: [17][1110/5005] Time 0.205 (0.222) Data 0.041 (0.068) Loss 3.0336 (2.9005) Prec@1 34.766 (36.858) Prec@5 59.766 (62.699)
Epoch: [17][1120/5005] Time 0.209 (0.222) Data 0.046 (0.068) Loss 2.8143 (2.8997) Prec@1 39.844 (36.865) Prec@5 62.891 (62.713)
Epoch: [17][1130/5005] Time 0.204 (0.222) Data 0.048 (0.067) Loss 2.8177 (2.8998) Prec@1 40.625 (36.862) Prec@5 63.281 (62.706)
Epoch: [17][1140/5005] Time 0.205 (0.221) Data 0.040 (0.067) Loss 3.0301 (2.8995) Prec@1 34.375 (36.862) Prec@5 60.156 (62.703)
Epoch: [17][1150/5005] Time 0.203 (0.222) Data 0.045 (0.067) Loss 2.8027 (2.8990) Prec@1 34.766 (36.870) Prec@5 61.328 (62.703)
Epoch: [17][1160/5005] Time 0.210 (0.222) Data 0.041 (0.067) Loss 2.8828 (2.8990) Prec@1 37.109 (36.872) Prec@5 62.500 (62.703)
Epoch: [17][1170/5005] Time 0.193 (0.222) Data 0.042 (0.067) Loss 2.9121 (2.8986) Prec@1 37.500 (36.878) Prec@5 64.062 (62.705)
Epoch: [17][1180/5005] Time 0.209 (0.221) Data 0.044 (0.066) Loss 2.9013 (2.8982) Prec@1 37.891 (36.882) Prec@5 63.672 (62.709)
Epoch: [17][1190/5005] Time 0.206 (0.221) Data 0.051 (0.066) Loss 2.6490 (2.8981) Prec@1 39.453 (36.880) Prec@5 64.453 (62.713)
Epoch: [17][1200/5005] Time 0.213 (0.221) Data 0.045 (0.066) Loss 2.9796 (2.8982) Prec@1 35.156 (36.874) Prec@5 60.938 (62.720)
Epoch: [17][1210/5005] Time 0.205 (0.221) Data 0.048 (0.066) Loss 2.9309 (2.8988) Prec@1 33.984 (36.864) Prec@5 60.547 (62.712)
Epoch: [17][1220/5005] Time 0.210 (0.221) Data 0.049 (0.066) Loss 2.7401 (2.8990) Prec@1 35.938 (36.853) Prec@5 65.625 (62.711)
Epoch: [17][1230/5005] Time 0.203 (0.221) Data 0.054 (0.066) Loss 2.9201 (2.8993) Prec@1 35.938 (36.837) Prec@5 64.062 (62.701)
Epoch: [17][1240/5005] Time 0.202 (0.221) Data 0.047 (0.066) Loss 2.8506 (2.8996) Prec@1 41.016 (36.833) Prec@5 61.719 (62.692)
Epoch: [17][1250/5005] Time 0.204 (0.221) Data 0.041 (0.065) Loss 3.0832 (2.9001) Prec@1 35.938 (36.823) Prec@5 58.984 (62.680)
Epoch: [17][1260/5005] Time 0.205 (0.221) Data 0.044 (0.065) Loss 2.5747 (2.8995) Prec@1 41.016 (36.827) Prec@5 66.797 (62.692)
Epoch: [17][1270/5005] Time 0.394 (0.221) Data 0.313 (0.066) Loss 2.9225 (2.8999) Prec@1 35.547 (36.821) Prec@5 58.203 (62.672)
Epoch: [17][1280/5005] Time 0.207 (0.221) Data 0.042 (0.066) Loss 2.9598 (2.9003) Prec@1 36.328 (36.815) Prec@5 58.594 (62.663)
Epoch: [17][1290/5005] Time 0.201 (0.221) Data 0.046 (0.066) Loss 2.7522 (2.8999) Prec@1 39.062 (36.827) Prec@5 63.281 (62.666)
Epoch: [17][1300/5005] Time 0.568 (0.221) Data 0.475 (0.066) Loss 2.8313 (2.8999) Prec@1 38.281 (36.832) Prec@5 62.109 (62.659)
Epoch: [17][1310/5005] Time 0.202 (0.221) Data 0.061 (0.066) Loss 2.9454 (2.9000) Prec@1 35.547 (36.827) Prec@5 62.109 (62.665)
Epoch: [17][1320/5005] Time 0.206 (0.221) Data 0.045 (0.066) Loss 2.9636 (2.9000) Prec@1 31.641 (36.828) Prec@5 64.453 (62.663)
Epoch: [17][1330/5005] Time 0.198 (0.221) Data 0.045 (0.066) Loss 3.1933 (2.9009) Prec@1 32.031 (36.818) Prec@5 57.422 (62.651)
Epoch: [17][1340/5005] Time 0.209 (0.221) Data 0.042 (0.066) Loss 2.8600 (2.9005) Prec@1 35.938 (36.821) Prec@5 60.938 (62.658)
Epoch: [17][1350/5005] Time 0.196 (0.221) Data 0.105 (0.066) Loss 3.3350 (2.9010) Prec@1 33.594 (36.817) Prec@5 55.469 (62.645)
Epoch: [17][1360/5005] Time 0.207 (0.221) Data 0.049 (0.066) Loss 2.8322 (2.9011) Prec@1 36.719 (36.813) Prec@5 66.797 (62.641)
Epoch: [17][1370/5005] Time 0.197 (0.221) Data 0.045 (0.066) Loss 2.9480 (2.9009) Prec@1 39.453 (36.824) Prec@5 60.938 (62.638)
Epoch: [17][1380/5005] Time 0.205 (0.221) Data 0.041 (0.066) Loss 2.8597 (2.9007) Prec@1 39.062 (36.825) Prec@5 66.797 (62.643)
Epoch: [17][1390/5005] Time 0.193 (0.221) Data 0.093 (0.067) Loss 2.8650 (2.9007) Prec@1 35.938 (36.822) Prec@5 66.016 (62.645)
Epoch: [17][1400/5005] Time 0.211 (0.221) Data 0.057 (0.067) Loss 2.7624 (2.8999) Prec@1 36.328 (36.826) Prec@5 67.578 (62.661)
Epoch: [17][1410/5005] Time 0.203 (0.221) Data 0.052 (0.067) Loss 2.7873 (2.8994) Prec@1 35.938 (36.834) Prec@5 65.625 (62.671)
Epoch: [17][1420/5005] Time 0.211 (0.221) Data 0.040 (0.067) Loss 2.9731 (2.8994) Prec@1 34.375 (36.833) Prec@5 62.500 (62.672)
Epoch: [17][1430/5005] Time 0.737 (0.222) Data 0.653 (0.067) Loss 2.6413 (2.8991) Prec@1 42.969 (36.850) Prec@5 66.016 (62.673)
Epoch: [17][1440/5005] Time 0.209 (0.221) Data 0.050 (0.067) Loss 2.7616 (2.8987) Prec@1 35.547 (36.859) Prec@5 65.625 (62.681)
Epoch: [17][1450/5005] Time 0.207 (0.221) Data 0.048 (0.067) Loss 2.8688 (2.8987) Prec@1 39.062 (36.858) Prec@5 64.062 (62.681)
Epoch: [17][1460/5005] Time 0.203 (0.221) Data 0.047 (0.067) Loss 2.9495 (2.8986) Prec@1 36.328 (36.864) Prec@5 57.422 (62.677)
Epoch: [17][1470/5005] Time 0.255 (0.221) Data 0.165 (0.067) Loss 3.0104 (2.8987) Prec@1 36.719 (36.870) Prec@5 60.156 (62.679)
Epoch: [17][1480/5005] Time 0.243 (0.221) Data 0.158 (0.067) Loss 2.7802 (2.8989) Prec@1 38.281 (36.869) Prec@5 65.234 (62.673)
Epoch: [17][1490/5005] Time 0.340 (0.221) Data 0.259 (0.067) Loss 3.1913 (2.8991) Prec@1 30.859 (36.859) Prec@5 58.594 (62.673)
Epoch: [17][1500/5005] Time 0.195 (0.221) Data 0.041 (0.067) Loss 2.8794 (2.8992) Prec@1 38.672 (36.858) Prec@5 61.719 (62.673)
Epoch: [17][1510/5005] Time 0.199 (0.221) Data 0.104 (0.068) Loss 2.7774 (2.8990) Prec@1 35.547 (36.859) Prec@5 65.234 (62.679)
Epoch: [17][1520/5005] Time 0.206 (0.221) Data 0.047 (0.067) Loss 3.0097 (2.8991) Prec@1 35.547 (36.856) Prec@5 58.594 (62.678)
Epoch: [17][1530/5005] Time 0.203 (0.221) Data 0.050 (0.067) Loss 3.1565 (2.8992) Prec@1 35.938 (36.858) Prec@5 60.547 (62.677)
Epoch: [17][1540/5005] Time 0.203 (0.221) Data 0.047 (0.068) Loss 2.9218 (2.8996) Prec@1 33.203 (36.852) Prec@5 60.547 (62.667)
Epoch: [17][1550/5005] Time 0.199 (0.221) Data 0.050 (0.068) Loss 2.7599 (2.8992) Prec@1 39.453 (36.854) Prec@5 65.234 (62.676)
Epoch: [17][1560/5005] Time 0.193 (0.221) Data 0.059 (0.068) Loss 2.8010 (2.8994) Prec@1 40.234 (36.857) Prec@5 64.844 (62.673)
Epoch: [17][1570/5005] Time 0.199 (0.221) Data 0.045 (0.068) Loss 2.7608 (2.8993) Prec@1 37.891 (36.858) Prec@5 65.625 (62.669)
Epoch: [17][1580/5005] Time 0.197 (0.222) Data 0.043 (0.068) Loss 2.7617 (2.8997) Prec@1 37.109 (36.856) Prec@5 65.234 (62.661)
Epoch: [17][1590/5005] Time 0.198 (0.222) Data 0.090 (0.068) Loss 2.8895 (2.8997) Prec@1 35.938 (36.849) Prec@5 63.281 (62.662)
Epoch: [17][1600/5005] Time 0.197 (0.222) Data 0.043 (0.069) Loss 2.9144 (2.9000) Prec@1 37.500 (36.846) Prec@5 63.281 (62.662)
Epoch: [17][1610/5005] Time 0.204 (0.222) Data 0.060 (0.068) Loss 2.9703 (2.9001) Prec@1 36.719 (36.848) Prec@5 62.500 (62.657)
Epoch: [17][1620/5005] Time 0.218 (0.222) Data 0.043 (0.068) Loss 2.9649 (2.8999) Prec@1 32.031 (36.851) Prec@5 63.672 (62.660)
Epoch: [17][1630/5005] Time 0.204 (0.222) Data 0.043 (0.068) Loss 2.8192 (2.8999) Prec@1 37.109 (36.853) Prec@5 63.281 (62.658)
Epoch: [17][1640/5005] Time 0.205 (0.222) Data 0.041 (0.068) Loss 2.8929 (2.9004) Prec@1 40.625 (36.848) Prec@5 63.281 (62.650)
Epoch: [17][1650/5005] Time 0.211 (0.222) Data 0.043 (0.068) Loss 3.0479 (2.9006) Prec@1 35.938 (36.847) Prec@5 58.984 (62.651)
Epoch: [17][1660/5005] Time 0.204 (0.222) Data 0.040 (0.068) Loss 2.8001 (2.8999) Prec@1 41.797 (36.867) Prec@5 63.672 (62.660)
Epoch: [17][1670/5005] Time 0.203 (0.222) Data 0.041 (0.068) Loss 2.7162 (2.8998) Prec@1 39.453 (36.868) Prec@5 62.891 (62.664)
Epoch: [17][1680/5005] Time 0.201 (0.222) Data 0.045 (0.068) Loss 2.9731 (2.9000) Prec@1 39.062 (36.872) Prec@5 58.984 (62.661)
Epoch: [17][1690/5005] Time 0.204 (0.222) Data 0.049 (0.068) Loss 2.8442 (2.8997) Prec@1 35.938 (36.871) Prec@5 63.281 (62.671)
Epoch: [17][1700/5005] Time 0.188 (0.222) Data 0.070 (0.069) Loss 2.8461 (2.8993) Prec@1 39.453 (36.879) Prec@5 65.234 (62.672)
Epoch: [17][1710/5005] Time 0.202 (0.222) Data 0.054 (0.069) Loss 2.6714 (2.8990) Prec@1 41.406 (36.879) Prec@5 68.359 (62.686)
Epoch: [17][1720/5005] Time 0.203 (0.222) Data 0.045 (0.069) Loss 2.9651 (2.8991) Prec@1 36.328 (36.867) Prec@5 60.938 (62.685)
Epoch: [17][1730/5005] Time 0.200 (0.222) Data 0.048 (0.069) Loss 2.8137 (2.8992) Prec@1 35.938 (36.866) Prec@5 64.844 (62.692)
Epoch: [17][1740/5005] Time 0.297 (0.222) Data 0.204 (0.069) Loss 3.0446 (2.8990) Prec@1 35.156 (36.872) Prec@5 58.984 (62.697)
Epoch: [17][1750/5005] Time 0.192 (0.222) Data 0.065 (0.069) Loss 2.9193 (2.8987) Prec@1 33.203 (36.870) Prec@5 61.328 (62.706)
Epoch: [17][1760/5005] Time 0.208 (0.222) Data 0.042 (0.069) Loss 2.6622 (2.8984) Prec@1 39.844 (36.872) Prec@5 66.016 (62.709)
Epoch: [17][1770/5005] Time 0.196 (0.222) Data 0.045 (0.069) Loss 2.9301 (2.8980) Prec@1 35.938 (36.876) Prec@5 61.719 (62.716)
Epoch: [17][1780/5005] Time 0.208 (0.222) Data 0.047 (0.069) Loss 2.8501 (2.8980) Prec@1 33.984 (36.879) Prec@5 60.938 (62.716)
Epoch: [17][1790/5005] Time 0.393 (0.222) Data 0.306 (0.070) Loss 2.7102 (2.8976) Prec@1 40.625 (36.877) Prec@5 64.844 (62.721)
Epoch: [17][1800/5005] Time 0.212 (0.222) Data 0.045 (0.070) Loss 2.7472 (2.8972) Prec@1 39.062 (36.883) Prec@5 67.969 (62.728)
Epoch: [17][1810/5005] Time 0.211 (0.222) Data 0.046 (0.070) Loss 2.7515 (2.8970) Prec@1 38.281 (36.883) Prec@5 64.062 (62.728)
Epoch: [17][1820/5005] Time 0.207 (0.222) Data 0.043 (0.070) Loss 3.0221 (2.8968) Prec@1 32.812 (36.887) Prec@5 60.156 (62.734)
Epoch: [17][1830/5005] Time 0.202 (0.222) Data 0.120 (0.069) Loss 2.6502 (2.8965) Prec@1 39.062 (36.893) Prec@5 65.625 (62.741)
Epoch: [17][1840/5005] Time 0.209 (0.222) Data 0.056 (0.070) Loss 2.8885 (2.8963) Prec@1 37.891 (36.896) Prec@5 62.891 (62.743)
Epoch: [17][1850/5005] Time 0.207 (0.222) Data 0.042 (0.070) Loss 2.9063 (2.8961) Prec@1 34.766 (36.897) Prec@5 60.938 (62.749)
Epoch: [17][1860/5005] Time 0.198 (0.222) Data 0.046 (0.070) Loss 2.8185 (2.8964) Prec@1 39.062 (36.889) Prec@5 64.844 (62.747)
Epoch: [17][1870/5005] Time 0.203 (0.222) Data 0.053 (0.070) Loss 2.9571 (2.8968) Prec@1 32.812 (36.872) Prec@5 62.109 (62.738)
Epoch: [17][1880/5005] Time 0.196 (0.222) Data 0.103 (0.070) Loss 3.0176 (2.8969) Prec@1 35.547 (36.873) Prec@5 61.328 (62.740)
Epoch: [17][1890/5005] Time 0.203 (0.222) Data 0.043 (0.070) Loss 2.9831 (2.8966) Prec@1 34.766 (36.874) Prec@5 63.281 (62.744)
Epoch: [17][1900/5005] Time 0.209 (0.222) Data 0.048 (0.070) Loss 2.9471 (2.8973) Prec@1 35.938 (36.863) Prec@5 64.062 (62.738)
Epoch: [17][1910/5005] Time 0.200 (0.222) Data 0.044 (0.070) Loss 2.9047 (2.8972) Prec@1 34.375 (36.861) Prec@5 61.328 (62.735)
Epoch: [17][1920/5005] Time 0.200 (0.222) Data 0.048 (0.070) Loss 2.8201 (2.8971) Prec@1 37.500 (36.863) Prec@5 66.016 (62.732)
Epoch: [17][1930/5005] Time 0.203 (0.222) Data 0.065 (0.070) Loss 2.7092 (2.8969) Prec@1 39.062 (36.872) Prec@5 62.500 (62.733)
Epoch: [17][1940/5005] Time 0.212 (0.222) Data 0.042 (0.070) Loss 2.6526 (2.8966) Prec@1 41.406 (36.872) Prec@5 68.750 (62.741)
Epoch: [17][1950/5005] Time 0.203 (0.222) Data 0.046 (0.070) Loss 2.9847 (2.8964) Prec@1 37.891 (36.875) Prec@5 60.156 (62.750)
Epoch: [17][1960/5005] Time 0.205 (0.222) Data 0.051 (0.070) Loss 2.9120 (2.8962) Prec@1 39.453 (36.879) Prec@5 60.938 (62.759)
Epoch: [17][1970/5005] Time 0.206 (0.222) Data 0.042 (0.070) Loss 2.7720 (2.8966) Prec@1 39.062 (36.873) Prec@5 63.281 (62.750)
Epoch: [17][1980/5005] Time 0.200 (0.222) Data 0.041 (0.070) Loss 2.8102 (2.8964) Prec@1 38.672 (36.878) Prec@5 61.328 (62.755)
Epoch: [17][1990/5005] Time 0.235 (0.222) Data 0.140 (0.070) Loss 2.8485 (2.8961) Prec@1 36.328 (36.878) Prec@5 62.109 (62.761)
Epoch: [17][2000/5005] Time 0.207 (0.222) Data 0.057 (0.070) Loss 2.7174 (2.8964) Prec@1 40.625 (36.878) Prec@5 66.406 (62.757)
Epoch: [17][2010/5005] Time 0.202 (0.222) Data 0.050 (0.070) Loss 2.7899 (2.8967) Prec@1 37.891 (36.867) Prec@5 65.234 (62.754)
Epoch: [17][2020/5005] Time 0.213 (0.222) Data 0.051 (0.070) Loss 2.7999 (2.8967) Prec@1 37.500 (36.870) Prec@5 66.016 (62.756)
Epoch: [17][2030/5005] Time 0.204 (0.222) Data 0.048 (0.071) Loss 2.8782 (2.8968) Prec@1 35.547 (36.868) Prec@5 64.844 (62.756)
Epoch: [17][2040/5005] Time 0.193 (0.222) Data 0.049 (0.071) Loss 2.7309 (2.8967) Prec@1 37.891 (36.871) Prec@5 64.844 (62.758)
Epoch: [17][2050/5005] Time 0.181 (0.222) Data 0.093 (0.071) Loss 2.8796 (2.8966) Prec@1 35.547 (36.869) Prec@5 65.625 (62.760)
Epoch: [17][2060/5005] Time 0.201 (0.222) Data 0.054 (0.071) Loss 2.7472 (2.8967) Prec@1 36.719 (36.867) Prec@5 63.281 (62.758)
Epoch: [17][2070/5005] Time 0.205 (0.222) Data 0.049 (0.071) Loss 3.1701 (2.8972) Prec@1 32.422 (36.859) Prec@5 58.984 (62.750)
Epoch: [17][2080/5005] Time 0.191 (0.222) Data 0.046 (0.071) Loss 2.8942 (2.8973) Prec@1 37.891 (36.860) Prec@5 60.938 (62.745)
Epoch: [17][2090/5005] Time 0.213 (0.222) Data 0.039 (0.071) Loss 2.7162 (2.8970) Prec@1 44.141 (36.869) Prec@5 67.578 (62.752)
Epoch: [17][2100/5005] Time 0.206 (0.222) Data 0.041 (0.071) Loss 3.0026 (2.8970) Prec@1 33.203 (36.869) Prec@5 61.719 (62.750)
Epoch: [17][2110/5005] Time 0.196 (0.222) Data 0.057 (0.071) Loss 2.7231 (2.8970) Prec@1 45.703 (36.869) Prec@5 67.188 (62.748)
Epoch: [17][2120/5005] Time 0.198 (0.222) Data 0.047 (0.071) Loss 3.0491 (2.8969) Prec@1 35.938 (36.874) Prec@5 59.375 (62.749)
Epoch: [17][2130/5005] Time 0.219 (0.222) Data 0.046 (0.071) Loss 2.8861 (2.8966) Prec@1 35.547 (36.880) Prec@5 64.062 (62.754)
Epoch: [17][2140/5005] Time 0.196 (0.223) Data 0.055 (0.071) Loss 2.7626 (2.8967) Prec@1 35.547 (36.878) Prec@5 63.672 (62.753)
Epoch: [17][2150/5005] Time 0.559 (0.223) Data 0.476 (0.072) Loss 2.6804 (2.8965) Prec@1 40.625 (36.879) Prec@5 66.016 (62.755)
Epoch: [17][2160/5005] Time 0.199 (0.223) Data 0.060 (0.072) Loss 2.7707 (2.8966) Prec@1 39.453 (36.878) Prec@5 65.234 (62.759)
Epoch: [17][2170/5005] Time 0.217 (0.223) Data 0.042 (0.072) Loss 2.8193 (2.8964) Prec@1 35.938 (36.878) Prec@5 67.188 (62.763)
Epoch: [17][2180/5005] Time 0.201 (0.223) Data 0.050 (0.072) Loss 2.7274 (2.8963) Prec@1 41.016 (36.880) Prec@5 64.453 (62.761)
Epoch: [17][2190/5005] Time 0.184 (0.223) Data 0.058 (0.072) Loss 3.2569 (2.8965) Prec@1 32.031 (36.879) Prec@5 53.516 (62.756)
Epoch: [17][2200/5005] Time 0.195 (0.223) Data 0.066 (0.072) Loss 3.0176 (2.8969) Prec@1 34.375 (36.874) Prec@5 58.594 (62.749)
Epoch: [17][2210/5005] Time 0.205 (0.223) Data 0.044 (0.072) Loss 2.9804 (2.8972) Prec@1 39.062 (36.870) Prec@5 58.594 (62.744)
Epoch: [17][2220/5005] Time 0.195 (0.223) Data 0.085 (0.072) Loss 2.9965 (2.8970) Prec@1 37.500 (36.875) Prec@5 61.719 (62.748)
Epoch: [17][2230/5005] Time 0.205 (0.223) Data 0.043 (0.072) Loss 2.9327 (2.8972) Prec@1 38.281 (36.878) Prec@5 60.938 (62.742)
Epoch: [17][2240/5005] Time 0.518 (0.223) Data 0.440 (0.072) Loss 3.0346 (2.8973) Prec@1 31.250 (36.872) Prec@5 63.672 (62.740)
Epoch: [17][2250/5005] Time 0.201 (0.223) Data 0.052 (0.072) Loss 2.7272 (2.8974) Prec@1 41.016 (36.872) Prec@5 66.797 (62.738)
Epoch: [17][2260/5005] Time 0.205 (0.223) Data 0.043 (0.072) Loss 2.8418 (2.8972) Prec@1 38.672 (36.878) Prec@5 64.062 (62.742)
Epoch: [17][2270/5005] Time 0.364 (0.223) Data 0.275 (0.072) Loss 3.0494 (2.8969) Prec@1 35.156 (36.886) Prec@5 62.109 (62.748)
Epoch: [17][2280/5005] Time 0.276 (0.223) Data 0.194 (0.072) Loss 2.9400 (2.8969) Prec@1 37.109 (36.886) Prec@5 64.453 (62.752)
Epoch: [17][2290/5005] Time 0.210 (0.223) Data 0.041 (0.072) Loss 2.6373 (2.8967) Prec@1 39.844 (36.890) Prec@5 65.625 (62.755)
Epoch: [17][2300/5005] Time 0.198 (0.223) Data 0.049 (0.072) Loss 2.9580 (2.8970) Prec@1 36.328 (36.890) Prec@5 62.109 (62.752)
Epoch: [17][2310/5005] Time 0.203 (0.223) Data 0.054 (0.072) Loss 2.8254 (2.8970) Prec@1 37.891 (36.890) Prec@5 62.891 (62.748)
Epoch: [17][2320/5005] Time 0.204 (0.223) Data 0.043 (0.072) Loss 2.8957 (2.8969) Prec@1 36.328 (36.891) Prec@5 67.188 (62.756)
Epoch: [17][2330/5005] Time 0.203 (0.223) Data 0.040 (0.072) Loss 2.8211 (2.8967) Prec@1 37.891 (36.896) Prec@5 62.891 (62.756)
Epoch: [17][2340/5005] Time 0.412 (0.223) Data 0.327 (0.072) Loss 2.9211 (2.8964) Prec@1 34.766 (36.900) Prec@5 62.891 (62.763)
Epoch: [17][2350/5005] Time 0.194 (0.223) Data 0.101 (0.072) Loss 2.9497 (2.8963) Prec@1 33.203 (36.897) Prec@5 60.547 (62.768)
Epoch: [17][2360/5005] Time 0.196 (0.223) Data 0.046 (0.072) Loss 2.7576 (2.8963) Prec@1 39.062 (36.897) Prec@5 64.062 (62.768)
Epoch: [17][2370/5005] Time 0.208 (0.223) Data 0.043 (0.072) Loss 2.9257 (2.8965) Prec@1 32.812 (36.893) Prec@5 61.719 (62.764)
Epoch: [17][2380/5005] Time 0.189 (0.223) Data 0.098 (0.072) Loss 2.8847 (2.8963) Prec@1 38.281 (36.898) Prec@5 63.281 (62.769)
Epoch: [17][2390/5005] Time 0.208 (0.223) Data 0.043 (0.072) Loss 2.9212 (2.8961) Prec@1 36.719 (36.897) Prec@5 63.281 (62.771)
Epoch: [17][2400/5005] Time 0.550 (0.223) Data 0.458 (0.073) Loss 2.7895 (2.8963) Prec@1 40.625 (36.894) Prec@5 66.016 (62.767)
Epoch: [17][2410/5005] Time 0.197 (0.223) Data 0.044 (0.073) Loss 3.0396 (2.8965) Prec@1 37.500 (36.894) Prec@5 58.203 (62.762)
Epoch: [17][2420/5005] Time 0.206 (0.223) Data 0.041 (0.073) Loss 2.9322 (2.8963) Prec@1 33.594 (36.898) Prec@5 66.797 (62.770)
Epoch: [17][2430/5005] Time 0.212 (0.223) Data 0.042 (0.073) Loss 2.7269 (2.8964) Prec@1 41.016 (36.896) Prec@5 63.281 (62.769)
Epoch: [17][2440/5005] Time 0.195 (0.223) Data 0.081 (0.073) Loss 2.6836 (2.8961) Prec@1 38.672 (36.900) Prec@5 65.625 (62.776)
Epoch: [17][2450/5005] Time 0.465 (0.223) Data 0.382 (0.073) Loss 2.8232 (2.8959) Prec@1 37.109 (36.904) Prec@5 64.453 (62.778)
Epoch: [17][2460/5005] Time 0.202 (0.223) Data 0.043 (0.073) Loss 2.9085 (2.8957) Prec@1 32.031 (36.902) Prec@5 62.109 (62.780)
Epoch: [17][2470/5005] Time 0.227 (0.223) Data 0.141 (0.073) Loss 2.8662 (2.8958) Prec@1 39.062 (36.901) Prec@5 61.719 (62.781)
Epoch: [17][2480/5005] Time 0.204 (0.223) Data 0.050 (0.073) Loss 2.9799 (2.8960) Prec@1 34.375 (36.896) Prec@5 63.281 (62.778)
Epoch: [17][2490/5005] Time 0.200 (0.223) Data 0.048 (0.073) Loss 2.7813 (2.8961) Prec@1 35.547 (36.893) Prec@5 70.312 (62.778)
Epoch: [17][2500/5005] Time 0.542 (0.223) Data 0.466 (0.073) Loss 2.8163 (2.8960) Prec@1 39.062 (36.894) Prec@5 63.281 (62.779)
Epoch: [17][2510/5005] Time 0.205 (0.223) Data 0.040 (0.073) Loss 3.0933 (2.8961) Prec@1 33.594 (36.889) Prec@5 62.500 (62.780)
Epoch: [17][2520/5005] Time 0.192 (0.223) Data 0.086 (0.073) Loss 2.7249 (2.8959) Prec@1 39.844 (36.895) Prec@5 67.188 (62.783)
Epoch: [17][2530/5005] Time 0.207 (0.223) Data 0.041 (0.073) Loss 3.0871 (2.8961) Prec@1 31.641 (36.890) Prec@5 60.547 (62.778)
Epoch: [17][2540/5005] Time 0.202 (0.223) Data 0.048 (0.073) Loss 2.9050 (2.8960) Prec@1 32.422 (36.890) Prec@5 63.672 (62.783)
Epoch: [17][2550/5005] Time 0.201 (0.223) Data 0.042 (0.073) Loss 2.8444 (2.8959) Prec@1 34.375 (36.891) Prec@5 67.578 (62.785)
Epoch: [17][2560/5005] Time 0.205 (0.223) Data 0.054 (0.073) Loss 3.1269 (2.8960) Prec@1 32.422 (36.894) Prec@5 56.641 (62.780)
Epoch: [17][2570/5005] Time 0.196 (0.223) Data 0.045 (0.073) Loss 2.9770 (2.8961) Prec@1 35.156 (36.895) Prec@5 59.766 (62.778)
Epoch: [17][2580/5005] Time 0.200 (0.223) Data 0.056 (0.073) Loss 3.1089 (2.8965) Prec@1 35.938 (36.891) Prec@5 59.375 (62.769)
Epoch: [17][2590/5005] Time 0.202 (0.223) Data 0.045 (0.073) Loss 3.0961 (2.8963) Prec@1 33.203 (36.895) Prec@5 58.984 (62.771)
Epoch: [17][2600/5005] Time 0.202 (0.223) Data 0.041 (0.073) Loss 2.9624 (2.8965) Prec@1 35.156 (36.891) Prec@5 64.062 (62.769)
Epoch: [17][2610/5005] Time 0.196 (0.223) Data 0.048 (0.073) Loss 3.1270 (2.8965) Prec@1 36.719 (36.896) Prec@5 59.375 (62.770)
Epoch: [17][2620/5005] Time 0.193 (0.223) Data 0.055 (0.073) Loss 2.9199 (2.8966) Prec@1 35.547 (36.895) Prec@5 63.672 (62.767)
Epoch: [17][2630/5005] Time 0.360 (0.223) Data 0.273 (0.073) Loss 3.1166 (2.8970) Prec@1 32.812 (36.887) Prec@5 58.594 (62.761)
Epoch: [17][2640/5005] Time 0.203 (0.223) Data 0.048 (0.073) Loss 3.0880 (2.8972) Prec@1 33.594 (36.882) Prec@5 58.594 (62.758)
Epoch: [17][2650/5005] Time 0.193 (0.223) Data 0.050 (0.073) Loss 3.0571 (2.8974) Prec@1 33.594 (36.878) Prec@5 61.328 (62.754)
Epoch: [17][2660/5005] Time 0.197 (0.223) Data 0.047 (0.074) Loss 2.9125 (2.8975) Prec@1 36.719 (36.875) Prec@5 62.891 (62.751)
Epoch: [17][2670/5005] Time 0.268 (0.223) Data 0.187 (0.074) Loss 2.5580 (2.8971) Prec@1 38.281 (36.880) Prec@5 65.625 (62.753)
Epoch: [17][2680/5005] Time 0.191 (0.224) Data 0.045 (0.074) Loss 2.6995 (2.8972) Prec@1 43.359 (36.878) Prec@5 67.188 (62.752)
Epoch: [17][2690/5005] Time 0.204 (0.224) Data 0.048 (0.074) Loss 2.6576 (2.8971) Prec@1 43.750 (36.881) Prec@5 65.234 (62.754)
Epoch: [17][2700/5005] Time 0.200 (0.224) Data 0.052 (0.074) Loss 2.8291 (2.8972) Prec@1 37.891 (36.878) Prec@5 63.281 (62.755)
Epoch: [17][2710/5005] Time 0.197 (0.223) Data 0.043 (0.074) Loss 2.6874 (2.8975) Prec@1 40.625 (36.872) Prec@5 69.531 (62.748)
Epoch: [17][2720/5005] Time 0.204 (0.223) Data 0.047 (0.074) Loss 2.8231 (2.8977) Prec@1 41.406 (36.869) Prec@5 67.578 (62.745)
Epoch: [17][2730/5005] Time 0.322 (0.223) Data 0.240 (0.074) Loss 2.9325 (2.8976) Prec@1 36.719 (36.868) Prec@5 61.719 (62.746)
Epoch: [17][2740/5005] Time 0.207 (0.223) Data 0.043 (0.074) Loss 2.8613 (2.8977) Prec@1 35.938 (36.869) Prec@5 60.547 (62.742)
Epoch: [17][2750/5005] Time 0.202 (0.223) Data 0.040 (0.074) Loss 2.7282 (2.8974) Prec@1 38.281 (36.877) Prec@5 67.188 (62.745)
Epoch: [17][2760/5005] Time 0.197 (0.223) Data 0.095 (0.074) Loss 2.8002 (2.8972) Prec@1 41.406 (36.883) Prec@5 64.844 (62.750)
Epoch: [17][2770/5005] Time 0.199 (0.223) Data 0.045 (0.074) Loss 2.8019 (2.8974) Prec@1 37.109 (36.882) Prec@5 67.969 (62.750)
Epoch: [17][2780/5005] Time 0.197 (0.223) Data 0.046 (0.074) Loss 3.0311 (2.8972) Prec@1 33.984 (36.885) Prec@5 62.109 (62.756)
Epoch: [17][2790/5005] Time 0.193 (0.223) Data 0.099 (0.074) Loss 3.2058 (2.8974) Prec@1 31.641 (36.886) Prec@5 58.594 (62.754)
Epoch: [17][2800/5005] Time 0.200 (0.223) Data 0.045 (0.074) Loss 2.8152 (2.8972) Prec@1 40.625 (36.893) Prec@5 65.234 (62.758)
Epoch: [17][2810/5005] Time 0.375 (0.223) Data 0.290 (0.074) Loss 3.2069 (2.8972) Prec@1 31.641 (36.890) Prec@5 56.641 (62.760)
Epoch: [17][2820/5005] Time 0.200 (0.223) Data 0.106 (0.074) Loss 2.5892 (2.8971) Prec@1 43.359 (36.890) Prec@5 67.969 (62.761)
Epoch: [17][2830/5005] Time 0.212 (0.223) Data 0.045 (0.074) Loss 3.2528 (2.8973) Prec@1 29.688 (36.882) Prec@5 56.641 (62.759)
Epoch: [17][2840/5005] Time 0.197 (0.223) Data 0.046 (0.074) Loss 2.9290 (2.8972) Prec@1 32.422 (36.883) Prec@5 60.156 (62.758)
Epoch: [17][2850/5005] Time 0.215 (0.223) Data 0.132 (0.075) Loss 2.9132 (2.8972) Prec@1 38.672 (36.887) Prec@5 60.938 (62.759)
Epoch: [17][2860/5005] Time 0.242 (0.223) Data 0.163 (0.075) Loss 2.9263 (2.8973) Prec@1 37.109 (36.887) Prec@5 62.109 (62.759)
Epoch: [17][2870/5005] Time 0.192 (0.223) Data 0.049 (0.075) Loss 2.7284 (2.8972) Prec@1 40.234 (36.891) Prec@5 62.891 (62.763)
Epoch: [17][2880/5005] Time 0.197 (0.223) Data 0.112 (0.075) Loss 2.8532 (2.8973) Prec@1 35.156 (36.892) Prec@5 66.797 (62.762)
Epoch: [17][2890/5005] Time 0.191 (0.223) Data 0.063 (0.075) Loss 2.9851 (2.8973) Prec@1 29.297 (36.892) Prec@5 60.156 (62.762)
Epoch: [17][2900/5005] Time 0.348 (0.223) Data 0.261 (0.075) Loss 2.5282 (2.8970) Prec@1 44.531 (36.898) Prec@5 70.703 (62.769)
Epoch: [17][2910/5005] Time 0.209 (0.223) Data 0.045 (0.075) Loss 2.9903 (2.8971) Prec@1 33.594 (36.900) Prec@5 59.766 (62.764)
Epoch: [17][2920/5005] Time 0.205 (0.223) Data 0.052 (0.075) Loss 2.9726 (2.8972) Prec@1 33.203 (36.900) Prec@5 61.328 (62.767)
Epoch: [17][2930/5005] Time 0.202 (0.223) Data 0.040 (0.075) Loss 3.1866 (2.8971) Prec@1 30.469 (36.899) Prec@5 57.031 (62.765)
Epoch: [17][2940/5005] Time 0.194 (0.223) Data 0.101 (0.075) Loss 3.0231 (2.8971) Prec@1 36.328 (36.899) Prec@5 60.547 (62.766)
Epoch: [17][2950/5005] Time 0.203 (0.224) Data 0.050 (0.075) Loss 3.1001 (2.8970) Prec@1 31.250 (36.898) Prec@5 57.812 (62.768)
Epoch: [17][2960/5005] Time 0.208 (0.223) Data 0.046 (0.075) Loss 2.9119 (2.8970) Prec@1 38.672 (36.904) Prec@5 62.109 (62.769)
Epoch: [17][2970/5005] Time 0.208 (0.223) Data 0.043 (0.075) Loss 3.0647 (2.8969) Prec@1 32.422 (36.904) Prec@5 60.547 (62.770)
Epoch: [17][2980/5005] Time 0.200 (0.223) Data 0.105 (0.075) Loss 3.1964 (2.8972) Prec@1 32.422 (36.902) Prec@5 57.031 (62.765)
Epoch: [17][2990/5005] Time 0.201 (0.223) Data 0.048 (0.075) Loss 2.7845 (2.8972) Prec@1 39.062 (36.902) Prec@5 64.062 (62.767)
Epoch: [17][3000/5005] Time 0.198 (0.223) Data 0.039 (0.075) Loss 2.8515 (2.8970) Prec@1 37.891 (36.904) Prec@5 64.844 (62.769)
Epoch: [17][3010/5005] Time 0.467 (0.223) Data 0.386 (0.075) Loss 2.8503 (2.8972) Prec@1 35.547 (36.901) Prec@5 64.453 (62.765)
Epoch: [17][3020/5005] Time 0.210 (0.223) Data 0.046 (0.075) Loss 2.7997 (2.8972) Prec@1 39.844 (36.897) Prec@5 64.844 (62.763)
Epoch: [17][3030/5005] Time 0.197 (0.223) Data 0.091 (0.075) Loss 2.9463 (2.8972) Prec@1 37.500 (36.895) Prec@5 66.016 (62.764)
Epoch: [17][3040/5005] Time 0.240 (0.223) Data 0.144 (0.075) Loss 2.7391 (2.8972) Prec@1 39.062 (36.901) Prec@5 62.500 (62.764)
Epoch: [17][3050/5005] Time 0.252 (0.223) Data 0.161 (0.075) Loss 2.8632 (2.8972) Prec@1 38.281 (36.898) Prec@5 62.109 (62.765)
Epoch: [17][3060/5005] Time 0.209 (0.223) Data 0.048 (0.075) Loss 2.8672 (2.8971) Prec@1 35.547 (36.898) Prec@5 59.766 (62.765)
Epoch: [17][3070/5005] Time 0.198 (0.223) Data 0.053 (0.075) Loss 2.8853 (2.8972) Prec@1 35.547 (36.897) Prec@5 60.156 (62.763)
Epoch: [17][3080/5005] Time 0.201 (0.223) Data 0.094 (0.075) Loss 2.8320 (2.8971) Prec@1 37.891 (36.894) Prec@5 62.109 (62.758)
Epoch: [17][3090/5005] Time 0.201 (0.223) Data 0.050 (0.075) Loss 3.1539 (2.8971) Prec@1 30.078 (36.893) Prec@5 55.469 (62.758)
Epoch: [17][3100/5005] Time 0.196 (0.223) Data 0.043 (0.075) Loss 3.0001 (2.8973) Prec@1 41.016 (36.889) Prec@5 59.766 (62.752)
Epoch: [17][3110/5005] Time 0.198 (0.223) Data 0.045 (0.075) Loss 2.6882 (2.8971) Prec@1 36.328 (36.893) Prec@5 66.797 (62.757)
Epoch: [17][3120/5005] Time 0.194 (0.223) Data 0.047 (0.075) Loss 2.9597 (2.8971) Prec@1 32.422 (36.888) Prec@5 62.109 (62.757)
Epoch: [17][3130/5005] Time 0.309 (0.224) Data 0.230 (0.076) Loss 2.9230 (2.8970) Prec@1 35.547 (36.890) Prec@5 63.672 (62.757)
Epoch: [17][3140/5005] Time 0.194 (0.223) Data 0.049 (0.076) Loss 2.6687 (2.8968) Prec@1 41.016 (36.895) Prec@5 64.844 (62.758)
Epoch: [17][3150/5005] Time 0.204 (0.223) Data 0.094 (0.076) Loss 2.8334 (2.8967) Prec@1 39.453 (36.903) Prec@5 62.109 (62.760)
Epoch: [17][3160/5005] Time 0.209 (0.223) Data 0.040 (0.076) Loss 2.8239 (2.8968) Prec@1 38.281 (36.906) Prec@5 62.891 (62.762)
Epoch: [17][3170/5005] Time 0.200 (0.223) Data 0.048 (0.076) Loss 2.8816 (2.8968) Prec@1 38.281 (36.906) Prec@5 62.500 (62.761)
Epoch: [17][3180/5005] Time 0.208 (0.223) Data 0.045 (0.076) Loss 2.6291 (2.8968) Prec@1 39.062 (36.904) Prec@5 69.141 (62.761)
Epoch: [17][3190/5005] Time 0.200 (0.223) Data 0.045 (0.076) Loss 2.8730 (2.8968) Prec@1 37.109 (36.906) Prec@5 61.719 (62.760)
Epoch: [17][3200/5005] Time 0.289 (0.223) Data 0.199 (0.076) Loss 2.9658 (2.8968) Prec@1 32.812 (36.907) Prec@5 64.453 (62.767)
Epoch: [17][3210/5005] Time 0.216 (0.223) Data 0.047 (0.076) Loss 3.0152 (2.8969) Prec@1 34.375 (36.906) Prec@5 60.938 (62.766)
Epoch: [17][3220/5005] Time 0.204 (0.223) Data 0.051 (0.076) Loss 3.0152 (2.8969) Prec@1 37.891 (36.909) Prec@5 58.984 (62.766)
Epoch: [17][3230/5005] Time 0.996 (0.224) Data 0.912 (0.076) Loss 2.9573 (2.8968) Prec@1 34.375 (36.909) Prec@5 61.328 (62.770)
Epoch: [17][3240/5005] Time 0.214 (0.224) Data 0.044 (0.076) Loss 3.2639 (2.8973) Prec@1 29.688 (36.902) Prec@5 59.766 (62.764)
Epoch: [17][3250/5005] Time 0.196 (0.224) Data 0.044 (0.076) Loss 2.9282 (2.8974) Prec@1 35.938 (36.902) Prec@5 64.062 (62.764)
Epoch: [17][3260/5005] Time 0.209 (0.224) Data 0.055 (0.076) Loss 2.7695 (2.8974) Prec@1 39.844 (36.900) Prec@5 63.281 (62.764)
Epoch: [17][3270/5005] Time 0.193 (0.223) Data 0.107 (0.076) Loss 3.0848 (2.8974) Prec@1 37.109 (36.902) Prec@5 59.766 (62.765)
Epoch: [17][3280/5005] Time 0.433 (0.224) Data 0.348 (0.076) Loss 2.7634 (2.8975) Prec@1 42.969 (36.902) Prec@5 66.406 (62.763)
Epoch: [17][3290/5005] Time 0.201 (0.224) Data 0.049 (0.076) Loss 2.7647 (2.8974) Prec@1 40.234 (36.902) Prec@5 65.625 (62.765)
Epoch: [17][3300/5005] Time 0.184 (0.224) Data 0.053 (0.076) Loss 2.9286 (2.8975) Prec@1 35.156 (36.900) Prec@5 63.672 (62.765)
Epoch: [17][3310/5005] Time 0.200 (0.224) Data 0.046 (0.076) Loss 2.8541 (2.8975) Prec@1 39.844 (36.902) Prec@5 64.062 (62.763)
Epoch: [17][3320/5005] Time 0.197 (0.224) Data 0.090 (0.076) Loss 2.9353 (2.8975) Prec@1 36.719 (36.900) Prec@5 60.156 (62.763)
Epoch: [17][3330/5005] Time 0.703 (0.224) Data 0.623 (0.076) Loss 2.9300 (2.8976) Prec@1 39.453 (36.901) Prec@5 59.766 (62.763)
Epoch: [17][3340/5005] Time 0.200 (0.224) Data 0.047 (0.076) Loss 2.9272 (2.8975) Prec@1 38.672 (36.902) Prec@5 64.844 (62.764)
Epoch: [17][3350/5005] Time 0.208 (0.224) Data 0.047 (0.076) Loss 2.9354 (2.8975) Prec@1 37.500 (36.900) Prec@5 60.938 (62.764)
Epoch: [17][3360/5005] Time 0.200 (0.224) Data 0.047 (0.076) Loss 2.8713 (2.8977) Prec@1 40.234 (36.898) Prec@5 66.406 (62.766)
Epoch: [17][3370/5005] Time 0.522 (0.224) Data 0.442 (0.076) Loss 2.9038 (2.8976) Prec@1 32.031 (36.898) Prec@5 66.406 (62.768)
Epoch: [17][3380/5005] Time 0.214 (0.224) Data 0.047 (0.076) Loss 2.6703 (2.8974) Prec@1 42.188 (36.903) Prec@5 69.141 (62.770)
Epoch: [17][3390/5005] Time 0.197 (0.224) Data 0.046 (0.076) Loss 2.8158 (2.8977) Prec@1 39.062 (36.899) Prec@5 65.625 (62.765)
Epoch: [17][3400/5005] Time 0.198 (0.224) Data 0.053 (0.076) Loss 2.7509 (2.8979) Prec@1 42.188 (36.899) Prec@5 66.016 (62.765)
Epoch: [17][3410/5005] Time 0.217 (0.224) Data 0.043 (0.076) Loss 2.9637 (2.8979) Prec@1 37.109 (36.896) Prec@5 63.281 (62.765)
Epoch: [17][3420/5005] Time 0.190 (0.224) Data 0.056 (0.076) Loss 2.8724 (2.8980) Prec@1 35.938 (36.896) Prec@5 63.281 (62.762)
Epoch: [17][3430/5005] Time 0.195 (0.224) Data 0.050 (0.076) Loss 2.8584 (2.8980) Prec@1 43.359 (36.898) Prec@5 60.938 (62.761)
Epoch: [17][3440/5005] Time 0.199 (0.224) Data 0.066 (0.076) Loss 2.9447 (2.8979) Prec@1 39.453 (36.898) Prec@5 60.156 (62.763)
Epoch: [17][3450/5005] Time 0.446 (0.224) Data 0.354 (0.077) Loss 2.5930 (2.8977) Prec@1 41.016 (36.904) Prec@5 67.188 (62.766)
Epoch: [17][3460/5005] Time 0.193 (0.224) Data 0.057 (0.077) Loss 2.7750 (2.8977) Prec@1 39.844 (36.906) Prec@5 66.016 (62.764)
Epoch: [17][3470/5005] Time 0.204 (0.224) Data 0.040 (0.077) Loss 2.7221 (2.8975) Prec@1 39.453 (36.909) Prec@5 64.844 (62.767)
Epoch: [17][3480/5005] Time 0.198 (0.224) Data 0.102 (0.077) Loss 2.8601 (2.8972) Prec@1 38.281 (36.913) Prec@5 67.578 (62.774)
Epoch: [17][3490/5005] Time 0.199 (0.224) Data 0.051 (0.077) Loss 3.1333 (2.8975) Prec@1 30.859 (36.911) Prec@5 60.938 (62.768)
Epoch: [17][3500/5005] Time 0.207 (0.224) Data 0.045 (0.077) Loss 2.7400 (2.8976) Prec@1 38.672 (36.909) Prec@5 69.531 (62.767)
Epoch: [17][3510/5005] Time 0.209 (0.224) Data 0.045 (0.077) Loss 2.8062 (2.8975) Prec@1 35.547 (36.911) Prec@5 67.578 (62.768)
Epoch: [17][3520/5005] Time 0.194 (0.224) Data 0.054 (0.077) Loss 3.1572 (2.8975) Prec@1 32.812 (36.911) Prec@5 55.469 (62.766)
Epoch: [17][3530/5005] Time 0.331 (0.224) Data 0.244 (0.077) Loss 2.8099 (2.8974) Prec@1 35.938 (36.911) Prec@5 61.719 (62.768)
Epoch: [17][3540/5005] Time 0.206 (0.224) Data 0.044 (0.077) Loss 2.8568 (2.8973) Prec@1 38.281 (36.913) Prec@5 66.797 (62.772)
Epoch: [17][3550/5005] Time 0.210 (0.224) Data 0.046 (0.077) Loss 2.9169 (2.8971) Prec@1 33.594 (36.913) Prec@5 59.375 (62.772)
Epoch: [17][3560/5005] Time 0.198 (0.224) Data 0.043 (0.077) Loss 2.9358 (2.8971) Prec@1 35.156 (36.913) Prec@5 61.328 (62.773)
Epoch: [17][3570/5005] Time 0.486 (0.224) Data 0.406 (0.077) Loss 2.9998 (2.8971) Prec@1 35.547 (36.912) Prec@5 62.891 (62.772)
Epoch: [17][3580/5005] Time 0.203 (0.224) Data 0.046 (0.077) Loss 2.8372 (2.8973) Prec@1 37.891 (36.905) Prec@5 61.719 (62.768)
Epoch: [17][3590/5005] Time 0.560 (0.224) Data 0.468 (0.077) Loss 3.0583 (2.8972) Prec@1 34.766 (36.909) Prec@5 56.641 (62.769)
Epoch: [17][3600/5005] Time 0.193 (0.224) Data 0.048 (0.077) Loss 3.0448 (2.8971) Prec@1 38.672 (36.913) Prec@5 62.109 (62.769)
Epoch: [17][3610/5005] Time 0.194 (0.224) Data 0.047 (0.077) Loss 2.7873 (2.8971) Prec@1 42.578 (36.913) Prec@5 63.672 (62.770)
Epoch: [17][3620/5005] Time 0.206 (0.224) Data 0.046 (0.077) Loss 3.0982 (2.8970) Prec@1 35.156 (36.916) Prec@5 60.156 (62.775)
Epoch: [17][3630/5005] Time 0.201 (0.224) Data 0.046 (0.077) Loss 3.1636 (2.8969) Prec@1 32.031 (36.919) Prec@5 57.812 (62.779)
Epoch: [17][3640/5005] Time 0.202 (0.224) Data 0.045 (0.077) Loss 2.7891 (2.8969) Prec@1 36.719 (36.919) Prec@5 68.359 (62.779)
Epoch: [17][3650/5005] Time 0.207 (0.224) Data 0.043 (0.077) Loss 2.6792 (2.8969) Prec@1 41.406 (36.917) Prec@5 67.578 (62.782)
Epoch: [17][3660/5005] Time 0.308 (0.224) Data 0.227 (0.077) Loss 3.1194 (2.8967) Prec@1 33.984 (36.921) Prec@5 62.109 (62.788)
Epoch: [17][3670/5005] Time 0.192 (0.224) Data 0.049 (0.077) Loss 3.0226 (2.8969) Prec@1 32.422 (36.917) Prec@5 59.766 (62.786)
Epoch: [17][3680/5005] Time 0.216 (0.224) Data 0.046 (0.077) Loss 2.8227 (2.8971) Prec@1 34.766 (36.912) Prec@5 65.625 (62.783)
Epoch: [17][3690/5005] Time 0.203 (0.224) Data 0.038 (0.077) Loss 2.7747 (2.8971) Prec@1 36.328 (36.913) Prec@5 68.359 (62.785)
Epoch: [17][3700/5005] Time 0.193 (0.224) Data 0.104 (0.077) Loss 2.9880 (2.8972) Prec@1 35.547 (36.912) Prec@5 64.844 (62.784)
Epoch: [17][3710/5005] Time 0.206 (0.224) Data 0.048 (0.077) Loss 2.7331 (2.8972) Prec@1 42.188 (36.913) Prec@5 66.406 (62.782)
Epoch: [17][3720/5005] Time 0.205 (0.224) Data 0.055 (0.077) Loss 3.0261 (2.8971) Prec@1 38.281 (36.916) Prec@5 62.109 (62.785)
Epoch: [17][3730/5005] Time 0.193 (0.224) Data 0.047 (0.077) Loss 2.8492 (2.8970) Prec@1 38.281 (36.916) Prec@5 63.672 (62.785)
Epoch: [17][3740/5005] Time 0.200 (0.224) Data 0.052 (0.077) Loss 2.8563 (2.8967) Prec@1 39.453 (36.923) Prec@5 63.281 (62.790)
Epoch: [17][3750/5005] Time 0.205 (0.224) Data 0.049 (0.077) Loss 2.6816 (2.8969) Prec@1 37.500 (36.917) Prec@5 67.188 (62.786)
Epoch: [17][3760/5005] Time 0.192 (0.224) Data 0.048 (0.077) Loss 2.9671 (2.8970) Prec@1 36.719 (36.914) Prec@5 60.547 (62.786)
Epoch: [17][3770/5005] Time 0.204 (0.224) Data 0.040 (0.077) Loss 2.9901 (2.8969) Prec@1 37.891 (36.916) Prec@5 57.422 (62.789)
Epoch: [17][3780/5005] Time 0.209 (0.224) Data 0.049 (0.077) Loss 2.9389 (2.8969) Prec@1 34.766 (36.915) Prec@5 61.328 (62.787)
Epoch: [17][3790/5005] Time 0.201 (0.224) Data 0.064 (0.077) Loss 3.0618 (2.8970) Prec@1 34.766 (36.911) Prec@5 58.984 (62.786)
Epoch: [17][3800/5005] Time 0.196 (0.224) Data 0.047 (0.077) Loss 2.7416 (2.8971) Prec@1 42.969 (36.909) Prec@5 66.406 (62.784)
Epoch: [17][3810/5005] Time 0.200 (0.224) Data 0.044 (0.077) Loss 3.0194 (2.8972) Prec@1 33.594 (36.906) Prec@5 62.109 (62.780)
Epoch: [17][3820/5005] Time 0.208 (0.224) Data 0.044 (0.077) Loss 2.8193 (2.8972) Prec@1 41.016 (36.908) Prec@5 66.406 (62.784)
Epoch: [17][3830/5005] Time 0.202 (0.224) Data 0.062 (0.077) Loss 2.8987 (2.8972) Prec@1 35.547 (36.907) Prec@5 62.109 (62.784)
Epoch: [17][3840/5005] Time 0.201 (0.224) Data 0.046 (0.077) Loss 3.1496 (2.8972) Prec@1 31.641 (36.906) Prec@5 55.469 (62.782)
Epoch: [17][3850/5005] Time 0.195 (0.224) Data 0.044 (0.077) Loss 2.9758 (2.8973) Prec@1 35.156 (36.906) Prec@5 61.328 (62.783)
Epoch: [17][3860/5005] Time 0.207 (0.224) Data 0.042 (0.077) Loss 2.6412 (2.8973) Prec@1 40.625 (36.906) Prec@5 70.312 (62.783)
Epoch: [17][3870/5005] Time 0.428 (0.224) Data 0.341 (0.077) Loss 2.9284 (2.8975) Prec@1 37.109 (36.902) Prec@5 60.156 (62.780)
Epoch: [17][3880/5005] Time 0.206 (0.224) Data 0.045 (0.077) Loss 2.8367 (2.8976) Prec@1 40.234 (36.902) Prec@5 64.062 (62.779)
Epoch: [17][3890/5005] Time 0.202 (0.224) Data 0.046 (0.077) Loss 3.0413 (2.8976) Prec@1 32.422 (36.901) Prec@5 59.375 (62.776)
Epoch: [17][3900/5005] Time 0.197 (0.224) Data 0.051 (0.077) Loss 3.1550 (2.8978) Prec@1 33.203 (36.897) Prec@5 62.109 (62.775)
Epoch: [17][3910/5005] Time 0.201 (0.224) Data 0.045 (0.077) Loss 2.9370 (2.8977) Prec@1 35.156 (36.898) Prec@5 60.938 (62.775)
Epoch: [17][3920/5005] Time 0.206 (0.224) Data 0.045 (0.077) Loss 2.9188 (2.8978) Prec@1 39.062 (36.899) Prec@5 60.547 (62.774)
Epoch: [17][3930/5005] Time 0.204 (0.224) Data 0.044 (0.077) Loss 2.8463 (2.8977) Prec@1 37.891 (36.902) Prec@5 61.328 (62.774)
Epoch: [17][3940/5005] Time 0.226 (0.224) Data 0.140 (0.077) Loss 2.8513 (2.8976) Prec@1 37.891 (36.903) Prec@5 62.500 (62.773)
Epoch: [17][3950/5005] Time 0.216 (0.224) Data 0.123 (0.077) Loss 2.8816 (2.8974) Prec@1 36.719 (36.908) Prec@5 63.672 (62.778)
Epoch: [17][3960/5005] Time 0.205 (0.224) Data 0.045 (0.077) Loss 2.7075 (2.8974) Prec@1 42.578 (36.906) Prec@5 66.406 (62.777)
Epoch: [17][3970/5005] Time 0.296 (0.224) Data 0.219 (0.077) Loss 2.8330 (2.8973) Prec@1 43.750 (36.909) Prec@5 62.891 (62.779)
Epoch: [17][3980/5005] Time 0.191 (0.224) Data 0.098 (0.077) Loss 2.7819 (2.8973) Prec@1 39.453 (36.911) Prec@5 64.844 (62.781)
Epoch: [17][3990/5005] Time 0.202 (0.224) Data 0.045 (0.077) Loss 3.0613 (2.8975) Prec@1 35.547 (36.907) Prec@5 60.156 (62.777)
Epoch: [17][4000/5005] Time 0.254 (0.224) Data 0.173 (0.077) Loss 2.8201 (2.8975) Prec@1 37.891 (36.907) Prec@5 62.109 (62.776)
Epoch: [17][4010/5005] Time 0.202 (0.224) Data 0.043 (0.077) Loss 2.9878 (2.8973) Prec@1 36.719 (36.904) Prec@5 58.594 (62.778)
Epoch: [17][4020/5005] Time 0.235 (0.224) Data 0.153 (0.077) Loss 3.0389 (2.8973) Prec@1 34.375 (36.903) Prec@5 58.984 (62.779)
Epoch: [17][4030/5005] Time 0.194 (0.224) Data 0.053 (0.077) Loss 3.1408 (2.8976) Prec@1 34.375 (36.897) Prec@5 62.109 (62.779)
Epoch: [17][4040/5005] Time 0.504 (0.224) Data 0.420 (0.078) Loss 2.9614 (2.8978) Prec@1 35.938 (36.893) Prec@5 60.938 (62.775)
Epoch: [17][4050/5005] Time 0.192 (0.224) Data 0.060 (0.078) Loss 3.0686 (2.8977) Prec@1 36.328 (36.894) Prec@5 57.031 (62.778)
Epoch: [17][4060/5005] Time 0.198 (0.224) Data 0.064 (0.078) Loss 3.0450 (2.8978) Prec@1 35.156 (36.892) Prec@5 57.812 (62.775)
Epoch: [17][4070/5005] Time 0.200 (0.224) Data 0.056 (0.078) Loss 2.9352 (2.8979) Prec@1 37.500 (36.891) Prec@5 64.844 (62.774)
Epoch: [17][4080/5005] Time 0.212 (0.224) Data 0.046 (0.078) Loss 2.8116 (2.8979) Prec@1 35.156 (36.892) Prec@5 64.062 (62.774)
Epoch: [17][4090/5005] Time 0.206 (0.224) Data 0.040 (0.078) Loss 3.0632 (2.8979) Prec@1 34.766 (36.890) Prec@5 62.891 (62.774)
Epoch: [17][4100/5005] Time 0.279 (0.224) Data 0.195 (0.078) Loss 2.9232 (2.8979) Prec@1 36.719 (36.891) Prec@5 60.938 (62.774)
Epoch: [17][4110/5005] Time 0.197 (0.224) Data 0.045 (0.078) Loss 3.1661 (2.8979) Prec@1 32.812 (36.888) Prec@5 59.375 (62.772)
Epoch: [17][4120/5005] Time 0.196 (0.224) Data 0.053 (0.078) Loss 3.0634 (2.8979) Prec@1 31.250 (36.886) Prec@5 55.469 (62.770)
Epoch: [17][4130/5005] Time 0.208 (0.224) Data 0.047 (0.078) Loss 3.0897 (2.8979) Prec@1 32.422 (36.883) Prec@5 58.594 (62.769)
Epoch: [17][4140/5005] Time 0.202 (0.224) Data 0.043 (0.078) Loss 2.9254 (2.8979) Prec@1 33.203 (36.882) Prec@5 61.719 (62.768)
Epoch: [17][4150/5005] Time 0.209 (0.224) Data 0.046 (0.078) Loss 2.9678 (2.8979) Prec@1 34.375 (36.881) Prec@5 59.375 (62.766)
Epoch: [17][4160/5005] Time 0.201 (0.224) Data 0.048 (0.078) Loss 2.8005 (2.8981) Prec@1 39.844 (36.878) Prec@5 64.453 (62.765)
Epoch: [17][4170/5005] Time 0.205 (0.224) Data 0.057 (0.078) Loss 2.8658 (2.8980) Prec@1 32.422 (36.878) Prec@5 64.453 (62.769)
Epoch: [17][4180/5005] Time 0.206 (0.224) Data 0.065 (0.078) Loss 2.7270 (2.8979) Prec@1 41.797 (36.880) Prec@5 64.844 (62.769)
Epoch: [17][4190/5005] Time 0.377 (0.224) Data 0.287 (0.078) Loss 2.7279 (2.8980) Prec@1 36.719 (36.879) Prec@5 65.625 (62.770)
Epoch: [17][4200/5005] Time 0.193 (0.224) Data 0.052 (0.078) Loss 2.7519 (2.8980) Prec@1 39.453 (36.877) Prec@5 61.719 (62.769)
Epoch: [17][4210/5005] Time 0.199 (0.224) Data 0.040 (0.078) Loss 2.7940 (2.8979) Prec@1 35.938 (36.876) Prec@5 67.188 (62.770)
Epoch: [17][4220/5005] Time 0.212 (0.224) Data 0.045 (0.078) Loss 3.1440 (2.8982) Prec@1 33.984 (36.873) Prec@5 57.812 (62.766)
Epoch: [17][4230/5005] Time 0.208 (0.224) Data 0.044 (0.078) Loss 2.8536 (2.8982) Prec@1 39.844 (36.872) Prec@5 62.500 (62.766)
Epoch: [17][4240/5005] Time 0.202 (0.224) Data 0.113 (0.078) Loss 2.7853 (2.8983) Prec@1 39.844 (36.871) Prec@5 65.234 (62.765)
Epoch: [17][4250/5005] Time 0.201 (0.224) Data 0.049 (0.078) Loss 2.8758 (2.8982) Prec@1 37.500 (36.872) Prec@5 62.500 (62.764)
Epoch: [17][4260/5005] Time 0.214 (0.224) Data 0.046 (0.078) Loss 2.8056 (2.8982) Prec@1 35.938 (36.876) Prec@5 62.500 (62.765)
Epoch: [17][4270/5005] Time 0.196 (0.224) Data 0.064 (0.078) Loss 3.0258 (2.8982) Prec@1 32.422 (36.875) Prec@5 62.891 (62.763)
Epoch: [17][4280/5005] Time 0.208 (0.224) Data 0.050 (0.078) Loss 2.9079 (2.8982) Prec@1 37.109 (36.875) Prec@5 59.766 (62.761)
Epoch: [17][4290/5005] Time 0.203 (0.224) Data 0.047 (0.078) Loss 3.1278 (2.8983) Prec@1 37.500 (36.874) Prec@5 58.984 (62.759)
Epoch: [17][4300/5005] Time 0.200 (0.224) Data 0.047 (0.078) Loss 2.7601 (2.8982) Prec@1 38.281 (36.876) Prec@5 67.188 (62.761)
Epoch: [17][4310/5005] Time 0.206 (0.224) Data 0.046 (0.078) Loss 2.7808 (2.8983) Prec@1 40.234 (36.878) Prec@5 66.016 (62.760)
Epoch: [17][4320/5005] Time 0.204 (0.224) Data 0.043 (0.078) Loss 2.8358 (2.8983) Prec@1 39.844 (36.878) Prec@5 62.500 (62.758)
Epoch: [17][4330/5005] Time 0.193 (0.224) Data 0.045 (0.078) Loss 2.8308 (2.8983) Prec@1 35.938 (36.880) Prec@5 62.891 (62.759)
Epoch: [17][4340/5005] Time 0.512 (0.224) Data 0.426 (0.078) Loss 2.9391 (2.8984) Prec@1 33.984 (36.877) Prec@5 62.500 (62.757)
Epoch: [17][4350/5005] Time 0.185 (0.224) Data 0.106 (0.078) Loss 2.9859 (2.8984) Prec@1 36.328 (36.881) Prec@5 63.281 (62.759)
Epoch: [17][4360/5005] Time 0.194 (0.224) Data 0.046 (0.078) Loss 2.8259 (2.8983) Prec@1 38.672 (36.883) Prec@5 62.500 (62.760)
Epoch: [17][4370/5005] Time 0.202 (0.224) Data 0.043 (0.078) Loss 2.8602 (2.8983) Prec@1 36.328 (36.884) Prec@5 65.625 (62.760)
Epoch: [17][4380/5005] Time 0.197 (0.224) Data 0.045 (0.078) Loss 2.9873 (2.8982) Prec@1 33.594 (36.885) Prec@5 60.938 (62.760)
Epoch: [17][4390/5005] Time 0.197 (0.224) Data 0.117 (0.078) Loss 2.9913 (2.8981) Prec@1 35.156 (36.889) Prec@5 60.938 (62.761)
Epoch: [17][4400/5005] Time 0.202 (0.224) Data 0.043 (0.078) Loss 2.9280 (2.8982) Prec@1 37.500 (36.888) Prec@5 63.281 (62.759)
Epoch: [17][4410/5005] Time 0.206 (0.224) Data 0.042 (0.078) Loss 3.0057 (2.8983) Prec@1 31.641 (36.888) Prec@5 60.156 (62.760)
Epoch: [17][4420/5005] Time 0.192 (0.224) Data 0.060 (0.078) Loss 2.5060 (2.8982) Prec@1 44.531 (36.886) Prec@5 68.750 (62.760)
Epoch: [17][4430/5005] Time 0.215 (0.224) Data 0.044 (0.078) Loss 2.9078 (2.8980) Prec@1 32.422 (36.889) Prec@5 64.844 (62.763)
Epoch: [17][4440/5005] Time 0.198 (0.224) Data 0.047 (0.078) Loss 2.9547 (2.8980) Prec@1 37.109 (36.890) Prec@5 58.594 (62.765)
Epoch: [17][4450/5005] Time 0.208 (0.224) Data 0.043 (0.078) Loss 2.7211 (2.8979) Prec@1 38.672 (36.891) Prec@5 65.234 (62.764)
Epoch: [17][4460/5005] Time 0.216 (0.224) Data 0.053 (0.078) Loss 2.9405 (2.8979) Prec@1 37.891 (36.892) Prec@5 61.328 (62.765)
Epoch: [17][4470/5005] Time 0.202 (0.224) Data 0.043 (0.078) Loss 2.9907 (2.8979) Prec@1 34.766 (36.890) Prec@5 59.766 (62.765)
Epoch: [17][4480/5005] Time 0.195 (0.224) Data 0.048 (0.078) Loss 2.7520 (2.8981) Prec@1 37.500 (36.887) Prec@5 63.281 (62.761)
Epoch: [17][4490/5005] Time 0.198 (0.224) Data 0.050 (0.078) Loss 2.8486 (2.8982) Prec@1 34.375 (36.886) Prec@5 64.062 (62.759)
Epoch: [17][4500/5005] Time 0.194 (0.224) Data 0.109 (0.078) Loss 2.8358 (2.8982) Prec@1 36.719 (36.887) Prec@5 68.359 (62.760)
Epoch: [17][4510/5005] Time 0.198 (0.224) Data 0.047 (0.078) Loss 2.6831 (2.8982) Prec@1 44.141 (36.889) Prec@5 66.406 (62.759)
Epoch: [17][4520/5005] Time 0.206 (0.224) Data 0.050 (0.078) Loss 2.8362 (2.8980) Prec@1 38.672 (36.890) Prec@5 68.750 (62.763)
Epoch: [17][4530/5005] Time 0.200 (0.224) Data 0.048 (0.078) Loss 2.8133 (2.8980) Prec@1 36.328 (36.891) Prec@5 66.016 (62.764)
Epoch: [17][4540/5005] Time 0.410 (0.224) Data 0.315 (0.078) Loss 3.2097 (2.8983) Prec@1 31.641 (36.888) Prec@5 60.938 (62.759)
Epoch: [17][4550/5005] Time 0.211 (0.224) Data 0.060 (0.078) Loss 2.9440 (2.8983) Prec@1 37.891 (36.889) Prec@5 62.109 (62.758)
Epoch: [17][4560/5005] Time 0.209 (0.224) Data 0.048 (0.078) Loss 2.8797 (2.8982) Prec@1 38.672 (36.894) Prec@5 63.672 (62.760)
Epoch: [17][4570/5005] Time 0.206 (0.224) Data 0.042 (0.078) Loss 2.9649 (2.8981) Prec@1 36.719 (36.893) Prec@5 62.500 (62.761)
Epoch: [17][4580/5005] Time 0.209 (0.224) Data 0.044 (0.078) Loss 3.0844 (2.8981) Prec@1 34.766 (36.894) Prec@5 59.766 (62.761)
Epoch: [17][4590/5005] Time 0.201 (0.224) Data 0.039 (0.078) Loss 2.8077 (2.8983) Prec@1 35.156 (36.891) Prec@5 64.062 (62.758)
Epoch: [17][4600/5005] Time 0.210 (0.224) Data 0.045 (0.078) Loss 2.7192 (2.8983) Prec@1 40.234 (36.892) Prec@5 66.016 (62.757)
Epoch: [17][4610/5005] Time 0.200 (0.224) Data 0.042 (0.078) Loss 2.7734 (2.8983) Prec@1 37.891 (36.893) Prec@5 66.797 (62.759)
Epoch: [17][4620/5005] Time 0.412 (0.224) Data 0.329 (0.079) Loss 2.6966 (2.8982) Prec@1 38.281 (36.896) Prec@5 64.062 (62.760)
Epoch: [17][4630/5005] Time 0.201 (0.224) Data 0.041 (0.079) Loss 2.7184 (2.8981) Prec@1 39.844 (36.897) Prec@5 67.188 (62.762)
Epoch: [17][4640/5005] Time 0.222 (0.224) Data 0.043 (0.078) Loss 3.0370 (2.8981) Prec@1 33.984 (36.895) Prec@5 61.719 (62.763)
Epoch: [17][4650/5005] Time 0.194 (0.224) Data 0.063 (0.078) Loss 2.8890 (2.8980) Prec@1 39.062 (36.896) Prec@5 62.500 (62.764)
Epoch: [17][4660/5005] Time 0.427 (0.224) Data 0.337 (0.079) Loss 3.1981 (2.8981) Prec@1 30.859 (36.896) Prec@5 55.078 (62.763)
Epoch: [17][4670/5005] Time 0.198 (0.224) Data 0.048 (0.079) Loss 2.8328 (2.8980) Prec@1 38.281 (36.898) Prec@5 62.891 (62.763)
Epoch: [17][4680/5005] Time 0.200 (0.224) Data 0.048 (0.079) Loss 2.8156 (2.8981) Prec@1 38.672 (36.896) Prec@5 64.062 (62.763)
Epoch: [17][4690/5005] Time 0.200 (0.224) Data 0.045 (0.079) Loss 2.8832 (2.8981) Prec@1 36.328 (36.894) Prec@5 62.109 (62.763)
Epoch: [17][4700/5005] Time 0.205 (0.224) Data 0.100 (0.079) Loss 2.9205 (2.8981) Prec@1 38.281 (36.894) Prec@5 61.719 (62.760)
Epoch: [17][4710/5005] Time 0.201 (0.224) Data 0.053 (0.079) Loss 2.9649 (2.8979) Prec@1 32.422 (36.897) Prec@5 63.672 (62.766)
Epoch: [17][4720/5005] Time 0.206 (0.224) Data 0.051 (0.079) Loss 2.7856 (2.8979) Prec@1 39.062 (36.899) Prec@5 65.625 (62.766)
Epoch: [17][4730/5005] Time 0.200 (0.224) Data 0.047 (0.079) Loss 2.8726 (2.8981) Prec@1 35.938 (36.896) Prec@5 64.844 (62.762)
Epoch: [17][4740/5005] Time 0.197 (0.224) Data 0.053 (0.079) Loss 2.8730 (2.8981) Prec@1 32.031 (36.896) Prec@5 60.156 (62.764)
Epoch: [17][4750/5005] Time 0.204 (0.224) Data 0.047 (0.079) Loss 2.8034 (2.8980) Prec@1 39.844 (36.899) Prec@5 63.281 (62.764)
Epoch: [17][4760/5005] Time 0.201 (0.224) Data 0.045 (0.079) Loss 3.2513 (2.8979) Prec@1 28.125 (36.900) Prec@5 54.297 (62.766)
Epoch: [17][4770/5005] Time 0.206 (0.224) Data 0.052 (0.079) Loss 2.8574 (2.8978) Prec@1 38.672 (36.901) Prec@5 63.672 (62.767)
Epoch: [17][4780/5005] Time 0.197 (0.224) Data 0.046 (0.079) Loss 2.9847 (2.8978) Prec@1 33.203 (36.904) Prec@5 61.719 (62.768)
Epoch: [17][4790/5005] Time 0.207 (0.224) Data 0.046 (0.079) Loss 3.1085 (2.8978) Prec@1 39.844 (36.906) Prec@5 58.984 (62.769)
Epoch: [17][4800/5005] Time 0.199 (0.224) Data 0.058 (0.079) Loss 3.1193 (2.8977) Prec@1 30.469 (36.904) Prec@5 63.672 (62.771)
Epoch: [17][4810/5005] Time 0.201 (0.224) Data 0.050 (0.079) Loss 3.0804 (2.8976) Prec@1 32.812 (36.904) Prec@5 55.469 (62.771)
Epoch: [17][4820/5005] Time 0.195 (0.224) Data 0.049 (0.079) Loss 3.0397 (2.8974) Prec@1 36.719 (36.906) Prec@5 53.125 (62.773)
Epoch: [17][4830/5005] Time 0.202 (0.224) Data 0.047 (0.079) Loss 2.8916 (2.8973) Prec@1 38.281 (36.912) Prec@5 60.938 (62.776)
Epoch: [17][4840/5005] Time 0.206 (0.224) Data 0.041 (0.079) Loss 2.7358 (2.8973) Prec@1 40.625 (36.910) Prec@5 64.062 (62.774)
Epoch: [17][4850/5005] Time 0.197 (0.224) Data 0.061 (0.079) Loss 2.9284 (2.8975) Prec@1 39.844 (36.909) Prec@5 62.109 (62.771)
Epoch: [17][4860/5005] Time 0.201 (0.224) Data 0.045 (0.079) Loss 2.8738 (2.8974) Prec@1 35.547 (36.910) Prec@5 63.672 (62.773)
Epoch: [17][4870/5005] Time 0.199 (0.224) Data 0.051 (0.079) Loss 2.7370 (2.8975) Prec@1 40.625 (36.910) Prec@5 64.453 (62.772)
Epoch: [17][4880/5005] Time 0.197 (0.224) Data 0.045 (0.079) Loss 2.7034 (2.8975) Prec@1 36.719 (36.912) Prec@5 63.672 (62.772)
Epoch: [17][4890/5005] Time 0.196 (0.224) Data 0.043 (0.079) Loss 2.9692 (2.8975) Prec@1 35.938 (36.910) Prec@5 60.938 (62.771)
Epoch: [17][4900/5005] Time 0.204 (0.224) Data 0.054 (0.079) Loss 2.6325 (2.8975) Prec@1 40.234 (36.912) Prec@5 61.719 (62.769)
Epoch: [17][4910/5005] Time 0.198 (0.224) Data 0.046 (0.079) Loss 2.9479 (2.8973) Prec@1 36.719 (36.916) Prec@5 62.891 (62.773)
Epoch: [17][4920/5005] Time 0.189 (0.224) Data 0.060 (0.079) Loss 2.8383 (2.8973) Prec@1 38.672 (36.916) Prec@5 62.500 (62.774)
Epoch: [17][4930/5005] Time 0.195 (0.224) Data 0.047 (0.079) Loss 3.0583 (2.8973) Prec@1 36.328 (36.914) Prec@5 59.766 (62.774)
Epoch: [17][4940/5005] Time 0.203 (0.224) Data 0.043 (0.079) Loss 2.9980 (2.8974) Prec@1 36.328 (36.916) Prec@5 61.719 (62.772)
Epoch: [17][4950/5005] Time 0.216 (0.224) Data 0.042 (0.079) Loss 2.6184 (2.8975) Prec@1 38.281 (36.914) Prec@5 68.750 (62.771)
Epoch: [17][4960/5005] Time 0.212 (0.224) Data 0.046 (0.079) Loss 3.0662 (2.8975) Prec@1 37.109 (36.915) Prec@5 62.500 (62.771)
Epoch: [17][4970/5005] Time 0.202 (0.224) Data 0.040 (0.079) Loss 3.1045 (2.8975) Prec@1 32.422 (36.915) Prec@5 60.156 (62.771)
Epoch: [17][4980/5005] Time 0.204 (0.224) Data 0.045 (0.079) Loss 2.9001 (2.8973) Prec@1 37.500 (36.917) Prec@5 65.234 (62.775)
Epoch: [17][4990/5005] Time 0.204 (0.224) Data 0.029 (0.079) Loss 2.9299 (2.8972) Prec@1 36.328 (36.919) Prec@5 60.938 (62.777)
Epoch: [17][5000/5005] Time 0.205 (0.224) Data 0.034 (0.079) Loss 2.9168 (2.8973) Prec@1 39.062 (36.917) Prec@5 61.328 (62.773)
Test: [0/196] Time 2.451 (2.451) Loss 2.8229 (2.8229) Prec@1 40.234 (40.234) Prec@5 62.891 (62.891)
Test: [10/196] Time 0.143 (0.431) Loss 2.8434 (2.9267) Prec@1 41.797 (36.648) Prec@5 63.672 (62.820)
Test: [20/196] Time 0.044 (0.320) Loss 2.8408 (2.9439) Prec@1 39.453 (36.700) Prec@5 64.062 (62.463)
Test: [30/196] Time 0.043 (0.278) Loss 2.8453 (2.9624) Prec@1 37.500 (35.824) Prec@5 62.109 (62.072)
Test: [40/196] Time 0.477 (0.271) Loss 2.7540 (2.9658) Prec@1 42.578 (35.947) Prec@5 66.406 (61.757)
Test: [50/196] Time 0.043 (0.263) Loss 3.0976 (2.9734) Prec@1 35.156 (35.991) Prec@5 64.453 (61.849)
Test: [60/196] Time 0.044 (0.253) Loss 2.7890 (2.9618) Prec@1 39.453 (36.078) Prec@5 62.500 (61.866)
Test: [70/196] Time 0.226 (0.249) Loss 2.9294 (2.9572) Prec@1 37.891 (36.075) Prec@5 64.453 (62.032)
Test: [80/196] Time 0.043 (0.250) Loss 2.8016 (2.9601) Prec@1 39.453 (36.101) Prec@5 66.406 (61.965)
Test: [90/196] Time 0.151 (0.244) Loss 3.0551 (2.9652) Prec@1 34.375 (36.144) Prec@5 63.281 (61.860)
Test: [100/196] Time 0.098 (0.241) Loss 3.0727 (2.9665) Prec@1 36.719 (36.135) Prec@5 60.156 (61.812)
Test: [110/196] Time 0.818 (0.245) Loss 3.1014 (2.9679) Prec@1 34.375 (36.145) Prec@5 55.078 (61.779)
Test: [120/196] Time 0.217 (0.241) Loss 2.6216 (2.9627) Prec@1 39.453 (36.218) Prec@5 67.969 (61.848)
Test: [130/196] Time 0.047 (0.238) Loss 2.7651 (2.9600) Prec@1 37.109 (36.271) Prec@5 65.625 (61.880)
Test: [140/196] Time 0.112 (0.235) Loss 2.7792 (2.9621) Prec@1 39.062 (36.295) Prec@5 64.453 (61.824)
Test: [150/196] Time 0.046 (0.237) Loss 2.7912 (2.9597) Prec@1 36.328 (36.346) Prec@5 66.016 (61.944)
Test: [160/196] Time 0.043 (0.239) Loss 2.8580 (2.9568) Prec@1 41.016 (36.430) Prec@5 65.234 (61.971)
Test: [170/196] Time 0.046 (0.234) Loss 2.7562 (2.9603) Prec@1 37.109 (36.369) Prec@5 66.406 (61.879)
Test: [180/196] Time 0.498 (0.234) Loss 3.1129 (2.9647) Prec@1 33.984 (36.307) Prec@5 62.109 (61.755)
Test: [190/196] Time 0.403 (0.235) Loss 3.2780 (2.9693) Prec@1 31.641 (36.250) Prec@5 55.469 (61.682)
* Prec@1 36.242 Prec@5 61.710
Learning rate: 0.001
Epoch: [18][0/5005] Time 2.238 (2.238) Data 2.134 (2.134) Loss 2.7399 (2.7399) Prec@1 37.109 (37.109) Prec@5 64.844 (64.844)
Epoch: [18][10/5005] Time 0.191 (0.384) Data 0.045 (0.241) Loss 2.7214 (2.8699) Prec@1 38.281 (36.648) Prec@5 67.969 (63.352)
Epoch: [18][20/5005] Time 0.209 (0.297) Data 0.044 (0.147) Loss 3.0510 (2.8839) Prec@1 33.984 (36.998) Prec@5 61.719 (62.965)
Epoch: [18][30/5005] Time 0.205 (0.266) Data 0.047 (0.114) Loss 2.8495 (2.8499) Prec@1 35.156 (37.702) Prec@5 62.891 (63.798)
Epoch: [18][40/5005] Time 0.203 (0.250) Data 0.039 (0.098) Loss 2.8112 (2.8640) Prec@1 35.547 (37.548) Prec@5 64.844 (63.415)
Epoch: [18][50/5005] Time 0.189 (0.240) Data 0.046 (0.088) Loss 2.6789 (2.8626) Prec@1 38.281 (37.607) Prec@5 69.922 (63.557)
Epoch: [18][60/5005] Time 0.207 (0.233) Data 0.046 (0.081) Loss 2.8137 (2.8577) Prec@1 39.062 (37.686) Prec@5 65.234 (63.608)
Epoch: [18][70/5005] Time 0.203 (0.229) Data 0.042 (0.075) Loss 2.8912 (2.8702) Prec@1 33.594 (37.329) Prec@5 62.891 (63.375)
Epoch: [18][80/5005] Time 0.198 (0.225) Data 0.044 (0.072) Loss 2.7377 (2.8632) Prec@1 38.281 (37.230) Prec@5 67.578 (63.522)
Epoch: [18][90/5005] Time 0.194 (0.222) Data 0.043 (0.069) Loss 3.0038 (2.8636) Prec@1 34.766 (37.414) Prec@5 65.234 (63.526)
Epoch: [18][100/5005] Time 0.209 (0.220) Data 0.043 (0.066) Loss 2.7385 (2.8698) Prec@1 36.719 (37.341) Prec@5 64.844 (63.374)
Epoch: [18][110/5005] Time 0.201 (0.219) Data 0.047 (0.064) Loss 2.7841 (2.8682) Prec@1 39.453 (37.496) Prec@5 64.062 (63.345)
Epoch: [18][120/5005] Time 0.200 (0.217) Data 0.045 (0.063) Loss 2.9057 (2.8746) Prec@1 32.031 (37.358) Prec@5 62.109 (63.223)
Epoch: [18][130/5005] Time 0.191 (0.216) Data 0.048 (0.062) Loss 3.0228 (2.8738) Prec@1 36.719 (37.458) Prec@5 60.156 (63.257)
Epoch: [18][140/5005] Time 0.195 (0.218) Data 0.045 (0.065) Loss 2.8760 (2.8731) Prec@1 35.547 (37.370) Prec@5 61.719 (63.226)
Epoch: [18][150/5005] Time 0.201 (0.218) Data 0.088 (0.067) Loss 3.1162 (2.8763) Prec@1 33.594 (37.267) Prec@5 57.422 (63.162)
Epoch: [18][160/5005] Time 0.197 (0.219) Data 0.042 (0.069) Loss 2.7233 (2.8797) Prec@1 39.844 (37.216) Prec@5 66.797 (63.172)
Epoch: [18][170/5005] Time 0.204 (0.220) Data 0.046 (0.072) Loss 2.9761 (2.8817) Prec@1 35.938 (37.144) Prec@5 60.938 (63.119)
Epoch: [18][180/5005] Time 0.255 (0.222) Data 0.177 (0.075) Loss 3.1183 (2.8844) Prec@1 36.719 (37.118) Prec@5 58.984 (63.076)
Epoch: [18][190/5005] Time 0.209 (0.224) Data 0.045 (0.077) Loss 2.9605 (2.8884) Prec@1 35.156 (37.032) Prec@5 62.109 (63.009)
Epoch: [18][200/5005] Time 0.227 (0.225) Data 0.042 (0.077) Loss 3.0354 (2.8899) Prec@1 32.031 (36.985) Prec@5 60.156 (63.046)
Epoch: [18][210/5005] Time 0.211 (0.225) Data 0.045 (0.077) Loss 2.5943 (2.8886) Prec@1 43.359 (36.996) Prec@5 68.750 (63.046)
Epoch: [18][220/5005] Time 0.224 (0.227) Data 0.045 (0.079) Loss 2.8320 (2.8896) Prec@1 38.672 (36.970) Prec@5 61.328 (63.013)
Epoch: [18][230/5005] Time 0.215 (0.227) Data 0.042 (0.077) Loss 2.9595 (2.8883) Prec@1 36.328 (36.962) Prec@5 60.938 (63.056)
Epoch: [18][240/5005] Time 0.211 (0.226) Data 0.039 (0.076) Loss 2.8278 (2.8864) Prec@1 40.234 (36.936) Prec@5 66.797 (63.092)
Epoch: [18][250/5005] Time 0.214 (0.226) Data 0.045 (0.076) Loss 2.9380 (2.8859) Prec@1 37.500 (36.951) Prec@5 63.281 (63.109)
Epoch: [18][260/5005] Time 0.260 (0.228) Data 0.173 (0.078) Loss 2.7276 (2.8848) Prec@1 37.500 (36.982) Prec@5 66.797 (63.129)
Epoch: [18][270/5005] Time 0.231 (0.228) Data 0.151 (0.079) Loss 2.8639 (2.8846) Prec@1 38.672 (36.978) Prec@5 63.281 (63.117)
Epoch: [18][280/5005] Time 0.197 (0.229) Data 0.047 (0.080) Loss 3.1430 (2.8860) Prec@1 33.594 (36.940) Prec@5 56.641 (63.098)
Epoch: [18][290/5005] Time 0.213 (0.229) Data 0.048 (0.081) Loss 2.6132 (2.8869) Prec@1 41.797 (36.959) Prec@5 66.016 (63.072)
Epoch: [18][300/5005] Time 0.199 (0.229) Data 0.045 (0.080) Loss 2.7952 (2.8871) Prec@1 37.109 (36.976) Prec@5 63.672 (63.084)
Epoch: [18][310/5005] Time 0.204 (0.229) Data 0.045 (0.081) Loss 2.7532 (2.8848) Prec@1 36.719 (36.989) Prec@5 66.797 (63.144)
Epoch: [18][320/5005] Time 0.240 (0.230) Data 0.151 (0.082) Loss 3.0475 (2.8854) Prec@1 33.203 (37.012) Prec@5 59.375 (63.151)
Epoch: [18][330/5005] Time 0.198 (0.230) Data 0.045 (0.082) Loss 2.5550 (2.8831) Prec@1 37.891 (37.061) Prec@5 66.797 (63.187)
Epoch: [18][340/5005] Time 0.203 (0.232) Data 0.057 (0.083) Loss 3.1963 (2.8872) Prec@1 29.688 (37.033) Prec@5 57.812 (63.087)
Epoch: [18][350/5005] Time 0.201 (0.232) Data 0.076 (0.083) Loss 3.0128 (2.8872) Prec@1 37.109 (37.038) Prec@5 60.156 (63.093)
Epoch: [18][360/5005] Time 0.214 (0.231) Data 0.046 (0.082) Loss 3.0480 (2.8873) Prec@1 33.984 (37.043) Prec@5 59.766 (63.069)
Epoch: [18][370/5005] Time 0.200 (0.231) Data 0.041 (0.081) Loss 2.9886 (2.8865) Prec@1 34.766 (37.057) Prec@5 60.938 (63.065)
Epoch: [18][380/5005] Time 0.204 (0.230) Data 0.043 (0.080) Loss 2.9711 (2.8875) Prec@1 37.891 (37.018) Prec@5 58.594 (63.027)
Epoch: [18][390/5005] Time 0.208 (0.230) Data 0.043 (0.079) Loss 2.8292 (2.8880) Prec@1 35.156 (37.025) Prec@5 66.406 (63.032)
Epoch: [18][400/5005] Time 0.216 (0.229) Data 0.044 (0.078) Loss 2.7830 (2.8866) Prec@1 37.109 (37.043) Prec@5 60.156 (63.050)
Epoch: [18][410/5005] Time 0.206 (0.229) Data 0.044 (0.077) Loss 2.6795 (2.8857) Prec@1 41.016 (37.053) Prec@5 67.188 (63.079)
Epoch: [18][420/5005] Time 0.205 (0.228) Data 0.044 (0.077) Loss 2.8128 (2.8856) Prec@1 39.062 (37.086) Prec@5 63.281 (63.064)
Epoch: [18][430/5005] Time 0.209 (0.228) Data 0.059 (0.076) Loss 2.8114 (2.8856) Prec@1 42.578 (37.072) Prec@5 66.797 (63.079)
Epoch: [18][440/5005] Time 0.219 (0.228) Data 0.046 (0.075) Loss 2.7851 (2.8851) Prec@1 36.328 (37.073) Prec@5 63.672 (63.090)
Epoch: [18][450/5005] Time 0.215 (0.227) Data 0.046 (0.075) Loss 2.6804 (2.8859) Prec@1 35.547 (37.039) Prec@5 67.188 (63.069)
Epoch: [18][460/5005] Time 0.204 (0.227) Data 0.057 (0.074) Loss 2.8344 (2.8861) Prec@1 41.016 (37.046) Prec@5 62.500 (63.067)
Epoch: [18][470/5005] Time 0.218 (0.227) Data 0.044 (0.074) Loss 2.7971 (2.8871) Prec@1 35.938 (37.042) Prec@5 63.672 (63.044)
Epoch: [18][480/5005] Time 0.198 (0.227) Data 0.060 (0.073) Loss 2.8594 (2.8873) Prec@1 34.766 (37.041) Prec@5 64.062 (63.058)
Epoch: [18][490/5005] Time 0.207 (0.227) Data 0.042 (0.073) Loss 2.9179 (2.8878) Prec@1 37.891 (37.027) Prec@5 62.109 (63.037)
Epoch: [18][500/5005] Time 0.206 (0.227) Data 0.043 (0.072) Loss 3.1135 (2.8904) Prec@1 37.109 (36.996) Prec@5 57.812 (62.983)
Epoch: [18][510/5005] Time 0.202 (0.226) Data 0.043 (0.072) Loss 3.2227 (2.8910) Prec@1 30.078 (36.982) Prec@5 54.297 (62.968)
Epoch: [18][520/5005] Time 0.202 (0.226) Data 0.050 (0.071) Loss 2.9985 (2.8908) Prec@1 34.766 (36.981) Prec@5 60.938 (62.958)
Epoch: [18][530/5005] Time 0.220 (0.226) Data 0.044 (0.071) Loss 2.7522 (2.8902) Prec@1 40.625 (36.981) Prec@5 64.844 (62.960)
Epoch: [18][540/5005] Time 0.221 (0.226) Data 0.041 (0.070) Loss 3.0155 (2.8904) Prec@1 35.938 (36.983) Prec@5 58.984 (62.949)
Epoch: [18][550/5005] Time 0.205 (0.225) Data 0.054 (0.070) Loss 2.8510 (2.8891) Prec@1 34.766 (37.011) Prec@5 64.844 (62.966)
Epoch: [18][560/5005] Time 0.206 (0.225) Data 0.049 (0.070) Loss 3.0216 (2.8898) Prec@1 37.109 (36.987) Prec@5 62.891 (62.957)
Epoch: [18][570/5005] Time 0.224 (0.225) Data 0.055 (0.069) Loss 2.9795 (2.8907) Prec@1 37.891 (36.964) Prec@5 61.328 (62.941)
Epoch: [18][580/5005] Time 0.211 (0.225) Data 0.045 (0.069) Loss 2.8609 (2.8904) Prec@1 34.766 (36.957) Prec@5 66.797 (62.960)
Epoch: [18][590/5005] Time 0.200 (0.224) Data 0.041 (0.068) Loss 3.0297 (2.8911) Prec@1 33.594 (36.958) Prec@5 60.938 (62.941)
Epoch: [18][600/5005] Time 0.210 (0.224) Data 0.040 (0.068) Loss 3.0299 (2.8920) Prec@1 31.250 (36.949) Prec@5 61.719 (62.929)
Epoch: [18][610/5005] Time 0.210 (0.224) Data 0.042 (0.068) Loss 2.7811 (2.8926) Prec@1 39.062 (36.922) Prec@5 66.406 (62.929)
Epoch: [18][620/5005] Time 0.212 (0.224) Data 0.047 (0.067) Loss 2.8450 (2.8921) Prec@1 39.062 (36.945) Prec@5 62.500 (62.947)
Epoch: [18][630/5005] Time 0.226 (0.224) Data 0.045 (0.067) Loss 3.0876 (2.8921) Prec@1 32.031 (36.964) Prec@5 60.156 (62.947)
Epoch: [18][640/5005] Time 0.207 (0.224) Data 0.044 (0.067) Loss 2.8015 (2.8923) Prec@1 35.938 (36.963) Prec@5 64.844 (62.929)
Epoch: [18][650/5005] Time 0.213 (0.223) Data 0.045 (0.066) Loss 3.0538 (2.8939) Prec@1 36.328 (36.938) Prec@5 58.203 (62.912)
Epoch: [18][660/5005] Time 0.212 (0.223) Data 0.044 (0.066) Loss 2.9465 (2.8936) Prec@1 33.203 (36.939) Prec@5 61.719 (62.902)
Epoch: [18][670/5005] Time 0.216 (0.223) Data 0.044 (0.066) Loss 3.0815 (2.8934) Prec@1 34.766 (36.925) Prec@5 62.109 (62.903)
Epoch: [18][680/5005] Time 0.213 (0.223) Data 0.044 (0.065) Loss 2.8040 (2.8934) Prec@1 38.672 (36.925) Prec@5 66.406 (62.911)
Epoch: [18][690/5005] Time 0.214 (0.223) Data 0.054 (0.065) Loss 2.5506 (2.8923) Prec@1 43.750 (36.938) Prec@5 69.531 (62.916)
Epoch: [18][700/5005] Time 0.217 (0.223) Data 0.047 (0.065) Loss 2.9329 (2.8914) Prec@1 37.891 (36.964) Prec@5 62.500 (62.933)
Epoch: [18][710/5005] Time 0.201 (0.223) Data 0.043 (0.065) Loss 2.7558 (2.8909) Prec@1 35.547 (36.973) Prec@5 64.062 (62.941)
Epoch: [18][720/5005] Time 0.216 (0.222) Data 0.043 (0.064) Loss 2.8907 (2.8901) Prec@1 35.156 (36.977) Prec@5 62.891 (62.937)
Epoch: [18][730/5005] Time 0.208 (0.222) Data 0.040 (0.064) Loss 3.0594 (2.8907) Prec@1 36.328 (36.974) Prec@5 62.500 (62.927)
Epoch: [18][740/5005] Time 0.203 (0.222) Data 0.046 (0.064) Loss 2.9482 (2.8905) Prec@1 37.500 (36.985) Prec@5 59.375 (62.917)
Epoch: [18][750/5005] Time 0.201 (0.222) Data 0.043 (0.063) Loss 2.6753 (2.8903) Prec@1 39.453 (36.987) Prec@5 69.531 (62.932)
Epoch: [18][760/5005] Time 0.210 (0.222) Data 0.045 (0.063) Loss 2.9200 (2.8907) Prec@1 37.500 (36.976) Prec@5 64.844 (62.930)
Epoch: [18][770/5005] Time 0.211 (0.222) Data 0.044 (0.063) Loss 2.9190 (2.8898) Prec@1 36.328 (36.989) Prec@5 59.766 (62.950)
Epoch: [18][780/5005] Time 0.202 (0.223) Data 0.040 (0.063) Loss 2.9188 (2.8895) Prec@1 34.766 (36.990) Prec@5 63.281 (62.947)
Epoch: [18][790/5005] Time 0.204 (0.223) Data 0.042 (0.062) Loss 2.8951 (2.8893) Prec@1 39.062 (37.003) Prec@5 65.234 (62.961)
Epoch: [18][800/5005] Time 0.208 (0.222) Data 0.043 (0.062) Loss 2.8183 (2.8887) Prec@1 38.672 (37.021) Prec@5 61.719 (62.964)
Epoch: [18][810/5005] Time 0.195 (0.222) Data 0.059 (0.062) Loss 3.0065 (2.8889) Prec@1 36.328 (37.020) Prec@5 59.766 (62.957)
Epoch: [18][820/5005] Time 0.205 (0.222) Data 0.045 (0.062) Loss 3.0090 (2.8894) Prec@1 33.984 (37.005) Prec@5 60.156 (62.958)
Epoch: [18][830/5005] Time 0.203 (0.222) Data 0.048 (0.062) Loss 2.7371 (2.8893) Prec@1 37.891 (36.997) Prec@5 63.672 (62.966)
Epoch: [18][840/5005] Time 0.201 (0.222) Data 0.043 (0.062) Loss 2.8257 (2.8891) Prec@1 37.109 (37.009) Prec@5 61.328 (62.976)
Epoch: [18][850/5005] Time 0.543 (0.222) Data 0.461 (0.063) Loss 2.9811 (2.8886) Prec@1 38.281 (37.027) Prec@5 61.719 (62.973)
Epoch: [18][860/5005] Time 0.214 (0.222) Data 0.043 (0.063) Loss 2.8599 (2.8884) Prec@1 39.844 (37.030) Prec@5 62.500 (62.977)
Epoch: [18][870/5005] Time 0.211 (0.222) Data 0.048 (0.063) Loss 2.9575 (2.8875) Prec@1 32.812 (37.043) Prec@5 62.109 (62.981)
Epoch: [18][880/5005] Time 0.195 (0.222) Data 0.051 (0.063) Loss 2.8396 (2.8878) Prec@1 37.500 (37.034) Prec@5 60.938 (62.968)
Epoch: [18][890/5005] Time 0.205 (0.222) Data 0.045 (0.063) Loss 3.0906 (2.8880) Prec@1 34.375 (37.031) Prec@5 57.812 (62.950)
Epoch: [18][900/5005] Time 0.332 (0.222) Data 0.249 (0.064) Loss 2.8329 (2.8878) Prec@1 36.719 (37.023) Prec@5 67.578 (62.957)
Epoch: [18][910/5005] Time 0.209 (0.222) Data 0.046 (0.064) Loss 2.8822 (2.8878) Prec@1 39.062 (37.021) Prec@5 63.672 (62.949)
Epoch: [18][920/5005] Time 0.201 (0.223) Data 0.044 (0.064) Loss 2.8834 (2.8870) Prec@1 38.672 (37.039) Prec@5 63.672 (62.964)
Epoch: [18][930/5005] Time 0.203 (0.223) Data 0.042 (0.064) Loss 2.8642 (2.8867) Prec@1 38.281 (37.055) Prec@5 62.500 (62.962)
Epoch: [18][940/5005] Time 0.594 (0.224) Data 0.498 (0.066) Loss 2.8085 (2.8871) Prec@1 33.984 (37.047) Prec@5 63.281 (62.953)
Epoch: [18][950/5005] Time 0.211 (0.224) Data 0.123 (0.066) Loss 3.0032 (2.8877) Prec@1 35.938 (37.050) Prec@5 62.500 (62.953)
Epoch: [18][960/5005] Time 0.339 (0.224) Data 0.260 (0.067) Loss 3.0136 (2.8878) Prec@1 35.938 (37.043) Prec@5 60.938 (62.951)
Epoch: [18][970/5005] Time 0.202 (0.224) Data 0.040 (0.067) Loss 2.6869 (2.8876) Prec@1 41.797 (37.056) Prec@5 63.672 (62.949)
Epoch: [18][980/5005] Time 0.295 (0.225) Data 0.220 (0.068) Loss 2.8383 (2.8869) Prec@1 37.500 (37.062) Prec@5 63.281 (62.963)
Epoch: [18][990/5005] Time 0.210 (0.225) Data 0.043 (0.068) Loss 2.8700 (2.8874) Prec@1 37.500 (37.050) Prec@5 63.281 (62.950)
Epoch: [18][1000/5005] Time 0.214 (0.224) Data 0.043 (0.068) Loss 2.8667 (2.8873) Prec@1 37.891 (37.054) Prec@5 63.281 (62.951)
Epoch: [18][1010/5005] Time 0.206 (0.224) Data 0.043 (0.068) Loss 2.9587 (2.8872) Prec@1 36.719 (37.061) Prec@5 64.062 (62.958)
Epoch: [18][1020/5005] Time 0.209 (0.224) Data 0.044 (0.067) Loss 2.7520 (2.8874) Prec@1 42.578 (37.054) Prec@5 65.234 (62.954)
Epoch: [18][1030/5005] Time 0.208 (0.224) Data 0.044 (0.067) Loss 2.8785 (2.8870) Prec@1 33.984 (37.060) Prec@5 60.938 (62.956)
Epoch: [18][1040/5005] Time 0.209 (0.224) Data 0.041 (0.067) Loss 3.0033 (2.8872) Prec@1 34.375 (37.056) Prec@5 60.938 (62.953)
Epoch: [18][1050/5005] Time 0.218 (0.224) Data 0.042 (0.067) Loss 2.9787 (2.8879) Prec@1 36.719 (37.040) Prec@5 62.500 (62.940)
Epoch: [18][1060/5005] Time 0.209 (0.224) Data 0.043 (0.066) Loss 2.9507 (2.8883) Prec@1 35.156 (37.034) Prec@5 60.547 (62.933)
Epoch: [18][1070/5005] Time 0.209 (0.224) Data 0.050 (0.066) Loss 2.8405 (2.8885) Prec@1 38.672 (37.029) Prec@5 60.547 (62.925)
Epoch: [18][1080/5005] Time 0.204 (0.223) Data 0.049 (0.066) Loss 2.9837 (2.8888) Prec@1 31.641 (37.023) Prec@5 64.844 (62.930)
Epoch: [18][1090/5005] Time 0.214 (0.223) Data 0.041 (0.066) Loss 2.8190 (2.8883) Prec@1 37.109 (37.035) Prec@5 62.500 (62.944)
Epoch: [18][1100/5005] Time 0.204 (0.223) Data 0.047 (0.066) Loss 2.7887 (2.8881) Prec@1 37.891 (37.036) Prec@5 66.406 (62.941)
Epoch: [18][1110/5005] Time 0.200 (0.223) Data 0.044 (0.066) Loss 2.8664 (2.8883) Prec@1 35.938 (37.024) Prec@5 59.375 (62.942)
Epoch: [18][1120/5005] Time 0.206 (0.223) Data 0.048 (0.065) Loss 2.7731 (2.8876) Prec@1 36.328 (37.031) Prec@5 64.453 (62.953)
Epoch: [18][1130/5005] Time 0.209 (0.223) Data 0.047 (0.065) Loss 2.8565 (2.8879) Prec@1 38.672 (37.028) Prec@5 62.891 (62.950)
Epoch: [18][1140/5005] Time 0.205 (0.223) Data 0.052 (0.065) Loss 2.9240 (2.8876) Prec@1 36.328 (37.028) Prec@5 64.453 (62.959)
Epoch: [18][1150/5005] Time 0.205 (0.223) Data 0.045 (0.065) Loss 2.7706 (2.8872) Prec@1 35.156 (37.033) Prec@5 65.234 (62.963)
Epoch: [18][1160/5005] Time 0.209 (0.222) Data 0.040 (0.065) Loss 2.8582 (2.8875) Prec@1 41.016 (37.034) Prec@5 64.062 (62.951)
Epoch: [18][1170/5005] Time 0.207 (0.222) Data 0.041 (0.065) Loss 2.8004 (2.8871) Prec@1 34.766 (37.034) Prec@5 62.500 (62.953)
Epoch: [18][1180/5005] Time 0.211 (0.222) Data 0.056 (0.064) Loss 3.0298 (2.8870) Prec@1 37.109 (37.034) Prec@5 62.891 (62.957)
Epoch: [18][1190/5005] Time 0.202 (0.222) Data 0.042 (0.064) Loss 2.7636 (2.8866) Prec@1 36.719 (37.032) Prec@5 63.672 (62.963)
Epoch: [18][1200/5005] Time 0.209 (0.222) Data 0.041 (0.064) Loss 3.0476 (2.8866) Prec@1 34.375 (37.035) Prec@5 58.594 (62.961)
Epoch: [18][1210/5005] Time 0.207 (0.222) Data 0.045 (0.064) Loss 2.8513 (2.8874) Prec@1 39.453 (37.039) Prec@5 61.328 (62.954)
Epoch: [18][1220/5005] Time 0.206 (0.222) Data 0.049 (0.064) Loss 2.6939 (2.8872) Prec@1 38.672 (37.037) Prec@5 64.453 (62.951)
Epoch: [18][1230/5005] Time 0.189 (0.222) Data 0.060 (0.065) Loss 3.0155 (2.8872) Prec@1 35.547 (37.029) Prec@5 58.984 (62.945)
Epoch: [18][1240/5005] Time 0.200 (0.222) Data 0.046 (0.065) Loss 2.9550 (2.8872) Prec@1 35.156 (37.029) Prec@5 62.500 (62.944)
Epoch: [18][1250/5005] Time 0.204 (0.222) Data 0.044 (0.065) Loss 3.0504 (2.8876) Prec@1 32.812 (37.016) Prec@5 57.812 (62.935)
Epoch: [18][1260/5005] Time 0.197 (0.222) Data 0.051 (0.065) Loss 2.6910 (2.8873) Prec@1 41.797 (37.022) Prec@5 66.406 (62.940)
Epoch: [18][1270/5005] Time 0.817 (0.223) Data 0.735 (0.066) Loss 2.9263 (2.8876) Prec@1 38.672 (37.021) Prec@5 62.109 (62.936)
Epoch: [18][1280/5005] Time 0.314 (0.222) Data 0.235 (0.066) Loss 2.9078 (2.8878) Prec@1 36.719 (37.016) Prec@5 62.891 (62.923)
Epoch: [18][1290/5005] Time 0.198 (0.222) Data 0.044 (0.066) Loss 2.6713 (2.8876) Prec@1 45.703 (37.023) Prec@5 66.797 (62.923)
Epoch: [18][1300/5005] Time 0.198 (0.222) Data 0.060 (0.066) Loss 2.7482 (2.8874) Prec@1 42.188 (37.029) Prec@5 64.453 (62.922)
Epoch: [18][1310/5005] Time 0.208 (0.222) Data 0.050 (0.066) Loss 2.8965 (2.8871) Prec@1 35.938 (37.031) Prec@5 61.719 (62.923)
Epoch: [18][1320/5005] Time 0.202 (0.222) Data 0.059 (0.066) Loss 2.9226 (2.8869) Prec@1 34.375 (37.035) Prec@5 64.453 (62.939)
Epoch: [18][1330/5005] Time 0.200 (0.222) Data 0.090 (0.066) Loss 3.1451 (2.8876) Prec@1 33.203 (37.028) Prec@5 59.766 (62.923)
Epoch: [18][1340/5005] Time 0.200 (0.222) Data 0.054 (0.066) Loss 2.7950 (2.8875) Prec@1 35.938 (37.028) Prec@5 64.062 (62.927)
Epoch: [18][1350/5005] Time 0.197 (0.222) Data 0.108 (0.066) Loss 3.2009 (2.8879) Prec@1 29.688 (37.021) Prec@5 61.719 (62.917)
Epoch: [18][1360/5005] Time 0.229 (0.222) Data 0.144 (0.067) Loss 2.7823 (2.8878) Prec@1 41.406 (37.031) Prec@5 65.234 (62.919)
Epoch: [18][1370/5005] Time 0.206 (0.222) Data 0.045 (0.067) Loss 2.8597 (2.8877) Prec@1 42.969 (37.033) Prec@5 65.625 (62.918)
Epoch: [18][1380/5005] Time 0.203 (0.222) Data 0.040 (0.067) Loss 2.9344 (2.8874) Prec@1 37.109 (37.039) Prec@5 64.844 (62.929)
Epoch: [18][1390/5005] Time 0.218 (0.223) Data 0.124 (0.068) Loss 2.7408 (2.8875) Prec@1 40.625 (37.047) Prec@5 65.234 (62.925)
Epoch: [18][1400/5005] Time 0.211 (0.222) Data 0.042 (0.067) Loss 2.8222 (2.8867) Prec@1 37.891 (37.054) Prec@5 62.500 (62.943)
Epoch: [18][1410/5005] Time 0.204 (0.222) Data 0.044 (0.067) Loss 2.8069 (2.8863) Prec@1 39.062 (37.063) Prec@5 66.016 (62.949)
Epoch: [18][1420/5005] Time 0.202 (0.223) Data 0.040 (0.068) Loss 3.1252 (2.8861) Prec@1 31.250 (37.068) Prec@5 60.547 (62.950)
Epoch: [18][1430/5005] Time 0.555 (0.223) Data 0.467 (0.068) Loss 2.5435 (2.8860) Prec@1 43.359 (37.070) Prec@5 67.969 (62.959)
Epoch: [18][1440/5005] Time 0.209 (0.223) Data 0.061 (0.068) Loss 2.6888 (2.8860) Prec@1 39.844 (37.081) Prec@5 67.578 (62.962)
Epoch: [18][1450/5005] Time 0.204 (0.223) Data 0.044 (0.068) Loss 2.9932 (2.8862) Prec@1 36.328 (37.082) Prec@5 62.891 (62.959)
Epoch: [18][1460/5005] Time 0.203 (0.223) Data 0.045 (0.068) Loss 2.9025 (2.8860) Prec@1 36.328 (37.089) Prec@5 62.891 (62.965)
Epoch: [18][1470/5005] Time 0.197 (0.223) Data 0.049 (0.068) Loss 2.9009 (2.8861) Prec@1 36.719 (37.093) Prec@5 62.891 (62.963)
Epoch: [18][1480/5005] Time 0.212 (0.223) Data 0.041 (0.068) Loss 2.6867 (2.8864) Prec@1 45.703 (37.093) Prec@5 70.312 (62.960)
Epoch: [18][1490/5005] Time 0.209 (0.222) Data 0.042 (0.068) Loss 3.1297 (2.8862) Prec@1 35.547 (37.099) Prec@5 60.547 (62.965)
Epoch: [18][1500/5005] Time 0.213 (0.222) Data 0.122 (0.068) Loss 2.9945 (2.8862) Prec@1 35.156 (37.093) Prec@5 61.328 (62.967)
Epoch: [18][1510/5005] Time 0.206 (0.222) Data 0.105 (0.068) Loss 2.7592 (2.8861) Prec@1 36.719 (37.091) Prec@5 65.234 (62.964)
Epoch: [18][1520/5005] Time 0.205 (0.222) Data 0.044 (0.068) Loss 2.9622 (2.8862) Prec@1 35.938 (37.089) Prec@5 60.547 (62.959)
Epoch: [18][1530/5005] Time 0.199 (0.222) Data 0.049 (0.068) Loss 3.0113 (2.8862) Prec@1 35.547 (37.094) Prec@5 63.281 (62.965)
Epoch: [18][1540/5005] Time 0.200 (0.222) Data 0.049 (0.068) Loss 2.8169 (2.8864) Prec@1 35.938 (37.091) Prec@5 64.062 (62.953)
Epoch: [18][1550/5005] Time 0.297 (0.222) Data 0.211 (0.068) Loss 2.8640 (2.8862) Prec@1 36.719 (37.097) Prec@5 63.281 (62.960)
Epoch: [18][1560/5005] Time 0.194 (0.222) Data 0.054 (0.068) Loss 2.7948 (2.8866) Prec@1 40.625 (37.091) Prec@5 62.891 (62.954)
Epoch: [18][1570/5005] Time 0.253 (0.223) Data 0.164 (0.069) Loss 2.7873 (2.8864) Prec@1 38.672 (37.097) Prec@5 64.453 (62.961)
Epoch: [18][1580/5005] Time 0.211 (0.222) Data 0.043 (0.069) Loss 2.7746 (2.8868) Prec@1 37.500 (37.078) Prec@5 66.406 (62.952)
Epoch: [18][1590/5005] Time 0.196 (0.223) Data 0.046 (0.069) Loss 2.8451 (2.8868) Prec@1 39.062 (37.074) Prec@5 66.016 (62.958)
Epoch: [18][1600/5005] Time 0.204 (0.223) Data 0.056 (0.069) Loss 2.9927 (2.8871) Prec@1 35.547 (37.067) Prec@5 60.156 (62.953)
Epoch: [18][1610/5005] Time 0.204 (0.223) Data 0.040 (0.070) Loss 2.9606 (2.8869) Prec@1 37.891 (37.071) Prec@5 64.453 (62.963)
Epoch: [18][1620/5005] Time 0.208 (0.223) Data 0.045 (0.070) Loss 3.2107 (2.8869) Prec@1 34.766 (37.062) Prec@5 55.078 (62.959)
Epoch: [18][1630/5005] Time 0.204 (0.223) Data 0.085 (0.070) Loss 2.7891 (2.8873) Prec@1 42.188 (37.057) Prec@5 65.234 (62.953)
Epoch: [18][1640/5005] Time 0.208 (0.223) Data 0.043 (0.069) Loss 3.0461 (2.8878) Prec@1 36.328 (37.055) Prec@5 60.156 (62.943)
Epoch: [18][1650/5005] Time 0.222 (0.223) Data 0.045 (0.069) Loss 2.9427 (2.8878) Prec@1 34.375 (37.054) Prec@5 61.719 (62.943)
Epoch: [18][1660/5005] Time 0.270 (0.223) Data 0.176 (0.069) Loss 2.7595 (2.8871) Prec@1 44.531 (37.072) Prec@5 64.453 (62.953)
Epoch: [18][1670/5005] Time 0.211 (0.223) Data 0.044 (0.069) Loss 2.7257 (2.8873) Prec@1 42.578 (37.064) Prec@5 65.234 (62.950)
Epoch: [18][1680/5005] Time 0.195 (0.223) Data 0.042 (0.069) Loss 3.1185 (2.8874) Prec@1 33.984 (37.069) Prec@5 60.938 (62.952)
Epoch: [18][1690/5005] Time 0.207 (0.223) Data 0.043 (0.069) Loss 2.7521 (2.8872) Prec@1 37.109 (37.066) Prec@5 67.188 (62.956)
Epoch: [18][1700/5005] Time 0.204 (0.223) Data 0.078 (0.069) Loss 2.7591 (2.8865) Prec@1 37.109 (37.077) Prec@5 68.359 (62.971)
Epoch: [18][1710/5005] Time 0.191 (0.223) Data 0.095 (0.069) Loss 2.7639 (2.8862) Prec@1 39.062 (37.073) Prec@5 66.797 (62.983)
Epoch: [18][1720/5005] Time 0.188 (0.223) Data 0.089 (0.070) Loss 2.9626 (2.8861) Prec@1 39.062 (37.072) Prec@5 63.281 (62.985)
Epoch: [18][1730/5005] Time 0.207 (0.223) Data 0.045 (0.070) Loss 2.8212 (2.8860) Prec@1 35.156 (37.078) Prec@5 63.672 (62.987)
Epoch: [18][1740/5005] Time 0.199 (0.223) Data 0.045 (0.070) Loss 3.0059 (2.8858) Prec@1 34.375 (37.079) Prec@5 57.812 (62.994)
Epoch: [18][1750/5005] Time 0.207 (0.223) Data 0.049 (0.070) Loss 2.9174 (2.8854) Prec@1 33.594 (37.085) Prec@5 57.422 (63.004)
Epoch: [18][1760/5005] Time 0.197 (0.223) Data 0.050 (0.070) Loss 2.6307 (2.8850) Prec@1 39.062 (37.089) Prec@5 67.578 (63.009)
Epoch: [18][1770/5005] Time 0.207 (0.223) Data 0.044 (0.070) Loss 2.9591 (2.8849) Prec@1 35.156 (37.096) Prec@5 62.109 (63.014)
Epoch: [18][1780/5005] Time 0.203 (0.223) Data 0.051 (0.070) Loss 2.8259 (2.8846) Prec@1 37.500 (37.099) Prec@5 63.281 (63.015)
Epoch: [18][1790/5005] Time 0.242 (0.223) Data 0.164 (0.070) Loss 2.6561 (2.8842) Prec@1 40.234 (37.103) Prec@5 65.625 (63.020)
Epoch: [18][1800/5005] Time 0.199 (0.223) Data 0.048 (0.070) Loss 2.8618 (2.8843) Prec@1 38.672 (37.108) Prec@5 63.672 (63.022)
Epoch: [18][1810/5005] Time 0.204 (0.223) Data 0.050 (0.071) Loss 2.8127 (2.8841) Prec@1 39.844 (37.105) Prec@5 62.891 (63.021)
Epoch: [18][1820/5005] Time 0.204 (0.223) Data 0.049 (0.071) Loss 2.8691 (2.8838) Prec@1 37.109 (37.108) Prec@5 61.328 (63.029)
Epoch: [18][1830/5005] Time 0.209 (0.223) Data 0.053 (0.071) Loss 2.6410 (2.8832) Prec@1 40.625 (37.121) Prec@5 66.406 (63.036)
Epoch: [18][1840/5005] Time 0.203 (0.223) Data 0.040 (0.071) Loss 3.0601 (2.8832) Prec@1 31.641 (37.120) Prec@5 58.594 (63.032)
Epoch: [18][1850/5005] Time 0.211 (0.223) Data 0.042 (0.071) Loss 2.8640 (2.8829) Prec@1 37.109 (37.121) Prec@5 65.234 (63.042)
Epoch: [18][1860/5005] Time 0.203 (0.223) Data 0.048 (0.071) Loss 2.7930 (2.8828) Prec@1 38.281 (37.119) Prec@5 64.062 (63.046)
Epoch: [18][1870/5005] Time 0.185 (0.223) Data 0.055 (0.071) Loss 3.1007 (2.8831) Prec@1 32.422 (37.113) Prec@5 56.250 (63.036)
Epoch: [18][1880/5005] Time 0.206 (0.223) Data 0.047 (0.070) Loss 2.9779 (2.8832) Prec@1 36.719 (37.118) Prec@5 64.844 (63.036)
Epoch: [18][1890/5005] Time 0.204 (0.223) Data 0.045 (0.071) Loss 2.9206 (2.8831) Prec@1 38.281 (37.124) Prec@5 63.281 (63.034)
Epoch: [18][1900/5005] Time 0.204 (0.223) Data 0.040 (0.071) Loss 2.7897 (2.8835) Prec@1 39.844 (37.119) Prec@5 66.797 (63.033)
Epoch: [18][1910/5005] Time 0.196 (0.223) Data 0.049 (0.071) Loss 2.9994 (2.8837) Prec@1 32.812 (37.114) Prec@5 60.547 (63.025)
Epoch: [18][1920/5005] Time 0.213 (0.223) Data 0.039 (0.071) Loss 2.8854 (2.8836) Prec@1 33.984 (37.109) Prec@5 63.672 (63.026)
Epoch: [18][1930/5005] Time 0.193 (0.223) Data 0.055 (0.071) Loss 2.7670 (2.8834) Prec@1 40.234 (37.118) Prec@5 64.453 (63.031)
Epoch: [18][1940/5005] Time 0.200 (0.223) Data 0.043 (0.071) Loss 2.7157 (2.8832) Prec@1 37.109 (37.118) Prec@5 67.188 (63.035)
Epoch: [18][1950/5005] Time 0.196 (0.223) Data 0.056 (0.071) Loss 3.0369 (2.8832) Prec@1 32.422 (37.116) Prec@5 60.156 (63.031)
Epoch: [18][1960/5005] Time 0.214 (0.223) Data 0.043 (0.071) Loss 2.7931 (2.8829) Prec@1 42.578 (37.128) Prec@5 66.797 (63.038)
Epoch: [18][1970/5005] Time 0.198 (0.223) Data 0.083 (0.071) Loss 2.7849 (2.8832) Prec@1 37.891 (37.119) Prec@5 63.672 (63.026)
Epoch: [18][1980/5005] Time 0.203 (0.223) Data 0.059 (0.071) Loss 2.7095 (2.8833) Prec@1 40.234 (37.117) Prec@5 64.062 (63.020)
Epoch: [18][1990/5005] Time 0.213 (0.223) Data 0.093 (0.071) Loss 2.5229 (2.8831) Prec@1 41.797 (37.125) Prec@5 66.016 (63.020)
Epoch: [18][2000/5005] Time 0.202 (0.223) Data 0.048 (0.071) Loss 2.6550 (2.8833) Prec@1 38.672 (37.121) Prec@5 69.922 (63.017)
Epoch: [18][2010/5005] Time 0.202 (0.223) Data 0.051 (0.071) Loss 2.7991 (2.8835) Prec@1 38.281 (37.119) Prec@5 64.844 (63.009)
Epoch: [18][2020/5005] Time 0.209 (0.223) Data 0.044 (0.071) Loss 2.8654 (2.8836) Prec@1 39.062 (37.117) Prec@5 64.062 (63.008)
Epoch: [18][2030/5005] Time 0.206 (0.223) Data 0.055 (0.071) Loss 2.7727 (2.8837) Prec@1 39.844 (37.117) Prec@5 64.062 (63.004)
Epoch: [18][2040/5005] Time 0.195 (0.223) Data 0.053 (0.071) Loss 2.6248 (2.8836) Prec@1 43.750 (37.122) Prec@5 66.406 (63.007)
Epoch: [18][2050/5005] Time 0.247 (0.223) Data 0.155 (0.071) Loss 2.9431 (2.8833) Prec@1 42.578 (37.129) Prec@5 65.234 (63.013)
Epoch: [18][2060/5005] Time 0.667 (0.223) Data 0.576 (0.071) Loss 2.9219 (2.8835) Prec@1 35.938 (37.125) Prec@5 59.375 (63.006)
Epoch: [18][2070/5005] Time 0.191 (0.223) Data 0.070 (0.071) Loss 3.0873 (2.8836) Prec@1 33.594 (37.118) Prec@5 54.688 (62.998)
Epoch: [18][2080/5005] Time 0.213 (0.223) Data 0.044 (0.071) Loss 2.8219 (2.8835) Prec@1 34.375 (37.120) Prec@5 63.281 (62.999)
Epoch: [18][2090/5005] Time 0.209 (0.223) Data 0.045 (0.071) Loss 2.7214 (2.8829) Prec@1 39.844 (37.123) Prec@5 68.750 (63.010)
Epoch: [18][2100/5005] Time 0.202 (0.223) Data 0.041 (0.071) Loss 2.8821 (2.8828) Prec@1 35.547 (37.122) Prec@5 62.109 (63.014)
Epoch: [18][2110/5005] Time 0.481 (0.223) Data 0.395 (0.071) Loss 2.8404 (2.8829) Prec@1 38.281 (37.125) Prec@5 66.016 (63.013)
Epoch: [18][2120/5005] Time 0.207 (0.223) Data 0.089 (0.071) Loss 2.9953 (2.8829) Prec@1 37.109 (37.126) Prec@5 59.375 (63.010)
Epoch: [18][2130/5005] Time 0.192 (0.223) Data 0.052 (0.072) Loss 2.8711 (2.8827) Prec@1 35.156 (37.130) Prec@5 63.281 (63.013)
Epoch: [18][2140/5005] Time 0.194 (0.223) Data 0.054 (0.072) Loss 2.8006 (2.8827) Prec@1 39.844 (37.130) Prec@5 62.500 (63.009)
Epoch: [18][2150/5005] Time 0.200 (0.223) Data 0.042 (0.072) Loss 2.8466 (2.8827) Prec@1 37.500 (37.132) Prec@5 65.625 (63.008)
Epoch: [18][2160/5005] Time 0.524 (0.223) Data 0.437 (0.072) Loss 2.7486 (2.8826) Prec@1 40.234 (37.130) Prec@5 62.500 (63.010)
Epoch: [18][2170/5005] Time 0.204 (0.223) Data 0.045 (0.072) Loss 2.7289 (2.8825) Prec@1 36.719 (37.132) Prec@5 64.453 (63.008)
Epoch: [18][2180/5005] Time 0.202 (0.223) Data 0.040 (0.072) Loss 2.9144 (2.8826) Prec@1 37.109 (37.130) Prec@5 60.938 (63.003)
Epoch: [18][2190/5005] Time 0.196 (0.223) Data 0.061 (0.072) Loss 3.0729 (2.8827) Prec@1 35.938 (37.129) Prec@5 59.375 (63.004)
Epoch: [18][2200/5005] Time 0.204 (0.223) Data 0.049 (0.072) Loss 2.9081 (2.8830) Prec@1 33.203 (37.118) Prec@5 61.328 (63.000)
Epoch: [18][2210/5005] Time 0.232 (0.223) Data 0.155 (0.072) Loss 2.9584 (2.8834) Prec@1 36.328 (37.114) Prec@5 62.500 (62.995)
Epoch: [18][2220/5005] Time 0.193 (0.223) Data 0.048 (0.072) Loss 2.9485 (2.8832) Prec@1 32.422 (37.112) Prec@5 62.109 (62.996)
Epoch: [18][2230/5005] Time 0.207 (0.223) Data 0.040 (0.072) Loss 2.8307 (2.8832) Prec@1 40.234 (37.118) Prec@5 63.672 (62.995)
Epoch: [18][2240/5005] Time 0.301 (0.223) Data 0.215 (0.072) Loss 2.8315 (2.8832) Prec@1 38.672 (37.118) Prec@5 64.844 (62.996)
Epoch: [18][2250/5005] Time 0.207 (0.223) Data 0.048 (0.072) Loss 2.7205 (2.8833) Prec@1 36.719 (37.114) Prec@5 64.062 (62.994)
Epoch: [18][2260/5005] Time 0.198 (0.223) Data 0.052 (0.072) Loss 2.7457 (2.8830) Prec@1 39.453 (37.125) Prec@5 65.234 (62.998)
Epoch: [18][2270/5005] Time 0.207 (0.223) Data 0.045 (0.072) Loss 3.1362 (2.8829) Prec@1 34.766 (37.128) Prec@5 54.297 (62.995)
Epoch: [18][2280/5005] Time 0.200 (0.223) Data 0.045 (0.072) Loss 2.8430 (2.8829) Prec@1 37.500 (37.129) Prec@5 64.453 (62.997)
Epoch: [18][2290/5005] Time 0.203 (0.223) Data 0.056 (0.072) Loss 2.6001 (2.8826) Prec@1 39.844 (37.134) Prec@5 68.359 (63.004)
Epoch: [18][2300/5005] Time 0.214 (0.223) Data 0.047 (0.072) Loss 2.7812 (2.8826) Prec@1 38.281 (37.135) Prec@5 63.281 (63.005)
Epoch: [18][2310/5005] Time 0.205 (0.223) Data 0.053 (0.072) Loss 2.7585 (2.8825) Prec@1 39.453 (37.138) Prec@5 66.016 (63.006)
Epoch: [18][2320/5005] Time 0.204 (0.223) Data 0.044 (0.072) Loss 2.9538 (2.8825) Prec@1 33.203 (37.140) Prec@5 60.547 (63.006)
Epoch: [18][2330/5005] Time 0.200 (0.223) Data 0.043 (0.072) Loss 2.7833 (2.8824) Prec@1 42.188 (37.147) Prec@5 66.406 (63.010)
Epoch: [18][2340/5005] Time 0.209 (0.223) Data 0.046 (0.073) Loss 2.9026 (2.8822) Prec@1 35.547 (37.149) Prec@5 63.281 (63.013)
Epoch: [18][2350/5005] Time 0.421 (0.223) Data 0.341 (0.073) Loss 2.7668 (2.8822) Prec@1 39.062 (37.151) Prec@5 63.281 (63.014)
Epoch: [18][2360/5005] Time 0.196 (0.223) Data 0.095 (0.073) Loss 2.7818 (2.8823) Prec@1 42.969 (37.152) Prec@5 64.844 (63.010)
Epoch: [18][2370/5005] Time 0.200 (0.224) Data 0.051 (0.073) Loss 2.9424 (2.8824) Prec@1 36.328 (37.149) Prec@5 61.719 (63.009)
Epoch: [18][2380/5005] Time 0.197 (0.224) Data 0.049 (0.073) Loss 2.9185 (2.8823) Prec@1 34.766 (37.151) Prec@5 62.109 (63.014)
Epoch: [18][2390/5005] Time 0.202 (0.224) Data 0.044 (0.073) Loss 2.8838 (2.8820) Prec@1 37.109 (37.159) Prec@5 60.547 (63.019)
Epoch: [18][2400/5005] Time 0.368 (0.224) Data 0.282 (0.073) Loss 2.9605 (2.8821) Prec@1 35.156 (37.155) Prec@5 59.766 (63.014)
Epoch: [18][2410/5005] Time 0.191 (0.224) Data 0.045 (0.073) Loss 2.9914 (2.8823) Prec@1 34.375 (37.153) Prec@5 60.938 (63.012)
Epoch: [18][2420/5005] Time 0.202 (0.223) Data 0.042 (0.073) Loss 2.8638 (2.8820) Prec@1 33.984 (37.161) Prec@5 64.062 (63.020)
Epoch: [18][2430/5005] Time 0.202 (0.223) Data 0.060 (0.073) Loss 2.8243 (2.8819) Prec@1 39.062 (37.164) Prec@5 62.500 (63.015)
Epoch: [18][2440/5005] Time 0.203 (0.223) Data 0.045 (0.073) Loss 2.5614 (2.8818) Prec@1 45.312 (37.166) Prec@5 66.016 (63.013)
Epoch: [18][2450/5005] Time 0.200 (0.224) Data 0.042 (0.073) Loss 2.8112 (2.8816) Prec@1 34.766 (37.171) Prec@5 64.062 (63.016)
Epoch: [18][2460/5005] Time 0.203 (0.224) Data 0.041 (0.073) Loss 2.8980 (2.8815) Prec@1 35.156 (37.174) Prec@5 63.281 (63.015)
Epoch: [18][2470/5005] Time 0.206 (0.223) Data 0.046 (0.072) Loss 2.7586 (2.8815) Prec@1 38.672 (37.181) Prec@5 63.281 (63.014)
Epoch: [18][2480/5005] Time 0.197 (0.224) Data 0.120 (0.073) Loss 2.9867 (2.8817) Prec@1 35.547 (37.177) Prec@5 62.891 (63.010)
Epoch: [18][2490/5005] Time 0.199 (0.224) Data 0.042 (0.073) Loss 2.7128 (2.8816) Prec@1 37.891 (37.176) Prec@5 67.188 (63.011)
Epoch: [18][2500/5005] Time 0.202 (0.224) Data 0.041 (0.073) Loss 2.9136 (2.8815) Prec@1 37.109 (37.179) Prec@5 62.891 (63.017)
Epoch: [18][2510/5005] Time 0.245 (0.224) Data 0.159 (0.073) Loss 3.0344 (2.8817) Prec@1 32.422 (37.170) Prec@5 59.766 (63.016)
Epoch: [18][2520/5005] Time 0.200 (0.224) Data 0.042 (0.073) Loss 2.7553 (2.8817) Prec@1 40.625 (37.172) Prec@5 66.797 (63.013)
Epoch: [18][2530/5005] Time 0.199 (0.224) Data 0.041 (0.073) Loss 3.0448 (2.8818) Prec@1 34.375 (37.170) Prec@5 58.594 (63.011)
Epoch: [18][2540/5005] Time 0.207 (0.224) Data 0.040 (0.073) Loss 2.7866 (2.8816) Prec@1 37.500 (37.176) Prec@5 67.188 (63.013)
Epoch: [18][2550/5005] Time 0.211 (0.223) Data 0.048 (0.072) Loss 2.8472 (2.8816) Prec@1 33.984 (37.175) Prec@5 65.234 (63.014)
Epoch: [18][2560/5005] Time 0.203 (0.223) Data 0.044 (0.073) Loss 2.9984 (2.8817) Prec@1 33.984 (37.177) Prec@5 60.938 (63.012)
Epoch: [18][2570/5005] Time 0.204 (0.223) Data 0.096 (0.073) Loss 2.8455 (2.8819) Prec@1 36.719 (37.176) Prec@5 65.234 (63.010)
Epoch: [18][2580/5005] Time 0.196 (0.223) Data 0.059 (0.073) Loss 2.9890 (2.8824) Prec@1 35.547 (37.169) Prec@5 62.109 (63.005)
Epoch: [18][2590/5005] Time 0.194 (0.223) Data 0.051 (0.073) Loss 2.9816 (2.8821) Prec@1 37.891 (37.179) Prec@5 63.281 (63.007)
Epoch: [18][2600/5005] Time 0.191 (0.223) Data 0.052 (0.073) Loss 2.8352 (2.8822) Prec@1 36.719 (37.174) Prec@5 62.109 (63.005)
Epoch: [18][2610/5005] Time 0.204 (0.223) Data 0.045 (0.073) Loss 3.1250 (2.8822) Prec@1 37.109 (37.179) Prec@5 57.422 (63.005)
Epoch: [18][2620/5005] Time 0.749 (0.224) Data 0.669 (0.073) Loss 2.8895 (2.8823) Prec@1 35.938 (37.173) Prec@5 59.766 (63.000)
Epoch: [18][2630/5005] Time 0.208 (0.223) Data 0.043 (0.073) Loss 3.2345 (2.8829) Prec@1 30.859 (37.161) Prec@5 57.422 (62.988)
Epoch: [18][2640/5005] Time 0.505 (0.224) Data 0.423 (0.073) Loss 2.9440 (2.8831) Prec@1 37.500 (37.161) Prec@5 60.156 (62.986)
Epoch: [18][2650/5005] Time 0.196 (0.224) Data 0.048 (0.073) Loss 2.9852 (2.8831) Prec@1 37.891 (37.162) Prec@5 61.328 (62.988)
Epoch: [18][2660/5005] Time 0.205 (0.224) Data 0.045 (0.073) Loss 2.8935 (2.8831) Prec@1 33.203 (37.163) Prec@5 64.844 (62.987)
Epoch: [18][2670/5005] Time 0.205 (0.224) Data 0.042 (0.073) Loss 2.5373 (2.8828) Prec@1 39.844 (37.168) Prec@5 66.016 (62.990)
Epoch: [18][2680/5005] Time 0.186 (0.224) Data 0.097 (0.073) Loss 2.7493 (2.8830) Prec@1 40.234 (37.162) Prec@5 64.453 (62.987)
Epoch: [18][2690/5005] Time 0.203 (0.224) Data 0.045 (0.073) Loss 2.7649 (2.8828) Prec@1 40.625 (37.164) Prec@5 63.672 (62.986)
Epoch: [18][2700/5005] Time 0.202 (0.223) Data 0.049 (0.073) Loss 2.8343 (2.8830) Prec@1 34.766 (37.158) Prec@5 62.891 (62.981)
Epoch: [18][2710/5005] Time 0.210 (0.224) Data 0.042 (0.073) Loss 2.6722 (2.8830) Prec@1 40.625 (37.155) Prec@5 64.844 (62.979)
Epoch: [18][2720/5005] Time 0.217 (0.224) Data 0.046 (0.074) Loss 2.7807 (2.8832) Prec@1 39.062 (37.150) Prec@5 68.750 (62.976)
Epoch: [18][2730/5005] Time 0.195 (0.224) Data 0.050 (0.074) Loss 2.8742 (2.8830) Prec@1 35.156 (37.150) Prec@5 62.891 (62.977)
Epoch: [18][2740/5005] Time 0.210 (0.224) Data 0.066 (0.074) Loss 2.8755 (2.8832) Prec@1 36.328 (37.144) Prec@5 66.797 (62.976)
Epoch: [18][2750/5005] Time 0.196 (0.224) Data 0.048 (0.073) Loss 2.9201 (2.8830) Prec@1 36.328 (37.149) Prec@5 60.547 (62.976)
Epoch: [18][2760/5005] Time 0.198 (0.224) Data 0.055 (0.074) Loss 2.9327 (2.8828) Prec@1 36.719 (37.154) Prec@5 63.281 (62.978)
Epoch: [18][2770/5005] Time 0.203 (0.224) Data 0.073 (0.074) Loss 2.7111 (2.8827) Prec@1 41.797 (37.156) Prec@5 69.141 (62.982)
Epoch: [18][2780/5005] Time 0.202 (0.224) Data 0.045 (0.074) Loss 3.0834 (2.8826) Prec@1 35.156 (37.160) Prec@5 57.422 (62.985)
Epoch: [18][2790/5005] Time 0.202 (0.224) Data 0.042 (0.074) Loss 3.1236 (2.8827) Prec@1 30.859 (37.159) Prec@5 57.031 (62.982)
Epoch: [18][2800/5005] Time 0.326 (0.224) Data 0.244 (0.074) Loss 2.6718 (2.8827) Prec@1 42.578 (37.163) Prec@5 67.578 (62.984)
Epoch: [18][2810/5005] Time 0.209 (0.224) Data 0.048 (0.074) Loss 3.0692 (2.8826) Prec@1 33.203 (37.165) Prec@5 58.984 (62.986)
Epoch: [18][2820/5005] Time 0.207 (0.224) Data 0.043 (0.074) Loss 2.4518 (2.8825) Prec@1 44.141 (37.166) Prec@5 69.531 (62.990)
Epoch: [18][2830/5005] Time 0.191 (0.224) Data 0.044 (0.074) Loss 3.2380 (2.8826) Prec@1 30.469 (37.165) Prec@5 55.859 (62.987)
Epoch: [18][2840/5005] Time 0.205 (0.224) Data 0.057 (0.074) Loss 3.0575 (2.8826) Prec@1 34.375 (37.164) Prec@5 58.984 (62.987)
Epoch: [18][2850/5005] Time 0.212 (0.224) Data 0.046 (0.074) Loss 2.8690 (2.8826) Prec@1 36.719 (37.164) Prec@5 62.891 (62.989)
Epoch: [18][2860/5005] Time 0.206 (0.224) Data 0.046 (0.074) Loss 2.8749 (2.8826) Prec@1 37.500 (37.161) Prec@5 62.500 (62.988)
Epoch: [18][2870/5005] Time 0.358 (0.224) Data 0.268 (0.074) Loss 2.8058 (2.8824) Prec@1 38.281 (37.165) Prec@5 66.406 (62.994)
Epoch: [18][2880/5005] Time 0.200 (0.224) Data 0.092 (0.074) Loss 2.9210 (2.8826) Prec@1 34.766 (37.161) Prec@5 62.891 (62.994)
Epoch: [18][2890/5005] Time 0.202 (0.224) Data 0.096 (0.074) Loss 2.9462 (2.8825) Prec@1 35.547 (37.165) Prec@5 63.281 (62.998)
Epoch: [18][2900/5005] Time 0.194 (0.224) Data 0.048 (0.074) Loss 2.6492 (2.8823) Prec@1 40.234 (37.171) Prec@5 67.188 (63.004)
Epoch: [18][2910/5005] Time 0.453 (0.224) Data 0.367 (0.074) Loss 2.8475 (2.8823) Prec@1 34.766 (37.168) Prec@5 62.500 (63.003)
Epoch: [18][2920/5005] Time 0.202 (0.224) Data 0.040 (0.074) Loss 3.0341 (2.8824) Prec@1 30.078 (37.166) Prec@5 58.203 (63.004)
Epoch: [18][2930/5005] Time 0.204 (0.224) Data 0.074 (0.074) Loss 3.1445 (2.8824) Prec@1 30.078 (37.165) Prec@5 56.250 (63.002)
Epoch: [18][2940/5005] Time 0.199 (0.224) Data 0.041 (0.074) Loss 3.0160 (2.8822) Prec@1 37.109 (37.169) Prec@5 58.203 (63.005)
Epoch: [18][2950/5005] Time 0.194 (0.224) Data 0.046 (0.074) Loss 3.0381 (2.8820) Prec@1 30.859 (37.171) Prec@5 61.328 (63.007)
Epoch: [18][2960/5005] Time 0.199 (0.224) Data 0.053 (0.074) Loss 2.9107 (2.8820) Prec@1 35.156 (37.173) Prec@5 63.672 (63.007)
Epoch: [18][2970/5005] Time 0.206 (0.224) Data 0.052 (0.074) Loss 3.1709 (2.8820) Prec@1 30.469 (37.172) Prec@5 56.641 (63.006)
Epoch: [18][2980/5005] Time 0.192 (0.224) Data 0.065 (0.075) Loss 3.1164 (2.8822) Prec@1 34.766 (37.168) Prec@5 60.156 (63.002)
Epoch: [18][2990/5005] Time 0.192 (0.224) Data 0.064 (0.075) Loss 2.7788 (2.8823) Prec@1 38.281 (37.164) Prec@5 64.453 (63.001)
Epoch: [18][3000/5005] Time 0.203 (0.224) Data 0.047 (0.075) Loss 2.9949 (2.8822) Prec@1 35.938 (37.163) Prec@5 61.328 (63.004)
Epoch: [18][3010/5005] Time 0.197 (0.224) Data 0.047 (0.074) Loss 2.7467 (2.8824) Prec@1 38.672 (37.162) Prec@5 69.922 (62.998)
Epoch: [18][3020/5005] Time 0.210 (0.224) Data 0.043 (0.074) Loss 2.8886 (2.8826) Prec@1 37.500 (37.161) Prec@5 60.547 (62.994)
Epoch: [18][3030/5005] Time 0.205 (0.224) Data 0.057 (0.075) Loss 2.8903 (2.8826) Prec@1 37.500 (37.160) Prec@5 64.453 (62.993)
Epoch: [18][3040/5005] Time 0.204 (0.224) Data 0.042 (0.075) Loss 2.8072 (2.8825) Prec@1 38.672 (37.165) Prec@5 62.109 (62.992)
Epoch: [18][3050/5005] Time 0.200 (0.224) Data 0.048 (0.075) Loss 2.8322 (2.8826) Prec@1 37.500 (37.163) Prec@5 65.234 (62.995)
Epoch: [18][3060/5005] Time 0.204 (0.224) Data 0.039 (0.075) Loss 2.8180 (2.8826) Prec@1 37.109 (37.164) Prec@5 66.016 (62.995)
Epoch: [18][3070/5005] Time 0.207 (0.224) Data 0.119 (0.075) Loss 2.9954 (2.8826) Prec@1 33.984 (37.163) Prec@5 58.984 (62.996)
Epoch: [18][3080/5005] Time 0.197 (0.224) Data 0.048 (0.075) Loss 2.8178 (2.8827) Prec@1 37.109 (37.158) Prec@5 64.844 (62.994)
Epoch: [18][3090/5005] Time 0.195 (0.224) Data 0.040 (0.075) Loss 3.1952 (2.8828) Prec@1 28.906 (37.148) Prec@5 57.422 (62.992)
Epoch: [18][3100/5005] Time 0.201 (0.224) Data 0.065 (0.075) Loss 2.9130 (2.8829) Prec@1 37.891 (37.145) Prec@5 60.156 (62.989)
Epoch: [18][3110/5005] Time 0.187 (0.224) Data 0.050 (0.075) Loss 2.6402 (2.8828) Prec@1 42.578 (37.145) Prec@5 67.578 (62.993)
Epoch: [18][3120/5005] Time 0.203 (0.224) Data 0.038 (0.075) Loss 2.9384 (2.8828) Prec@1 34.766 (37.142) Prec@5 61.719 (62.989)
Epoch: [18][3130/5005] Time 0.202 (0.224) Data 0.052 (0.075) Loss 3.0025 (2.8827) Prec@1 35.547 (37.145) Prec@5 60.938 (62.992)
Epoch: [18][3140/5005] Time 0.201 (0.224) Data 0.047 (0.075) Loss 2.6261 (2.8825) Prec@1 42.578 (37.147) Prec@5 64.844 (62.995)
Epoch: [18][3150/5005] Time 0.213 (0.224) Data 0.040 (0.075) Loss 2.7995 (2.8824) Prec@1 40.625 (37.148) Prec@5 62.891 (62.996)
Epoch: [18][3160/5005] Time 0.212 (0.224) Data 0.047 (0.075) Loss 2.7400 (2.8824) Prec@1 39.453 (37.150) Prec@5 67.188 (62.996)
Epoch: [18][3170/5005] Time 0.202 (0.224) Data 0.046 (0.075) Loss 3.0224 (2.8826) Prec@1 33.594 (37.150) Prec@5 59.766 (62.994)
Epoch: [18][3180/5005] Time 0.210 (0.224) Data 0.091 (0.075) Loss 2.7605 (2.8827) Prec@1 46.484 (37.153) Prec@5 65.234 (62.993)
Epoch: [18][3190/5005] Time 0.203 (0.224) Data 0.119 (0.075) Loss 2.9151 (2.8828) Prec@1 35.938 (37.151) Prec@5 62.500 (62.992)
Epoch: [18][3200/5005] Time 0.503 (0.224) Data 0.418 (0.075) Loss 2.9789 (2.8828) Prec@1 33.203 (37.153) Prec@5 61.719 (62.992)
Epoch: [18][3210/5005] Time 0.202 (0.224) Data 0.045 (0.075) Loss 3.0643 (2.8829) Prec@1 37.891 (37.157) Prec@5 60.938 (62.996)
Epoch: [18][3220/5005] Time 0.195 (0.224) Data 0.052 (0.075) Loss 2.8656 (2.8828) Prec@1 38.281 (37.160) Prec@5 61.719 (62.995)
Epoch: [18][3230/5005] Time 0.205 (0.224) Data 0.044 (0.075) Loss 2.6987 (2.8827) Prec@1 39.844 (37.163) Prec@5 62.500 (62.997)
Epoch: [18][3240/5005] Time 0.206 (0.224) Data 0.050 (0.075) Loss 3.1026 (2.8831) Prec@1 32.422 (37.158) Prec@5 58.594 (62.989)
Epoch: [18][3250/5005] Time 0.203 (0.224) Data 0.062 (0.075) Loss 2.7259 (2.8831) Prec@1 40.234 (37.160) Prec@5 65.625 (62.991)
Epoch: [18][3260/5005] Time 0.201 (0.224) Data 0.043 (0.075) Loss 2.8084 (2.8833) Prec@1 39.844 (37.157) Prec@5 62.891 (62.990)
Epoch: [18][3270/5005] Time 0.189 (0.224) Data 0.049 (0.075) Loss 3.1739 (2.8833) Prec@1 33.594 (37.156) Prec@5 58.594 (62.988)
Epoch: [18][3280/5005] Time 0.196 (0.224) Data 0.044 (0.075) Loss 2.9219 (2.8835) Prec@1 39.062 (37.153) Prec@5 60.938 (62.983)
Epoch: [18][3290/5005] Time 0.201 (0.224) Data 0.053 (0.075) Loss 2.8266 (2.8835) Prec@1 37.891 (37.150) Prec@5 65.625 (62.986)
Epoch: [18][3300/5005] Time 0.196 (0.224) Data 0.049 (0.075) Loss 2.8766 (2.8836) Prec@1 38.672 (37.149) Prec@5 61.328 (62.987)
Epoch: [18][3310/5005] Time 0.202 (0.224) Data 0.051 (0.076) Loss 2.7894 (2.8836) Prec@1 38.672 (37.150) Prec@5 63.672 (62.988)
Epoch: [18][3320/5005] Time 0.192 (0.224) Data 0.048 (0.075) Loss 2.9293 (2.8836) Prec@1 37.109 (37.150) Prec@5 62.109 (62.989)
Epoch: [18][3330/5005] Time 0.314 (0.224) Data 0.232 (0.075) Loss 2.9073 (2.8836) Prec@1 35.547 (37.149) Prec@5 63.672 (62.991)
Epoch: [18][3340/5005] Time 0.198 (0.224) Data 0.053 (0.076) Loss 2.9571 (2.8836) Prec@1 36.719 (37.151) Prec@5 63.281 (62.990)
Epoch: [18][3350/5005] Time 0.205 (0.224) Data 0.053 (0.076) Loss 2.9959 (2.8835) Prec@1 34.375 (37.149) Prec@5 62.891 (62.995)
Epoch: [18][3360/5005] Time 0.201 (0.224) Data 0.048 (0.076) Loss 2.7975 (2.8835) Prec@1 40.234 (37.148) Prec@5 67.578 (62.998)
Epoch: [18][3370/5005] Time 0.195 (0.224) Data 0.043 (0.076) Loss 2.8942 (2.8836) Prec@1 36.328 (37.147) Prec@5 60.938 (62.993)
Epoch: [18][3380/5005] Time 0.207 (0.224) Data 0.044 (0.076) Loss 2.7524 (2.8835) Prec@1 37.891 (37.148) Prec@5 65.625 (62.994)
Epoch: [18][3390/5005] Time 0.198 (0.224) Data 0.043 (0.076) Loss 2.8865 (2.8837) Prec@1 39.844 (37.146) Prec@5 63.672 (62.992)
Epoch: [18][3400/5005] Time 0.207 (0.224) Data 0.042 (0.076) Loss 2.7932 (2.8838) Prec@1 36.719 (37.144) Prec@5 65.625 (62.991)
Epoch: [18][3410/5005] Time 0.193 (0.224) Data 0.052 (0.076) Loss 2.7909 (2.8837) Prec@1 40.625 (37.147) Prec@5 64.844 (62.994)
Epoch: [18][3420/5005] Time 0.201 (0.224) Data 0.053 (0.076) Loss 2.8782 (2.8838) Prec@1 36.719 (37.145) Prec@5 62.891 (62.992)
Epoch: [18][3430/5005] Time 0.198 (0.224) Data 0.056 (0.076) Loss 2.7126 (2.8838) Prec@1 39.844 (37.145) Prec@5 65.234 (62.991)
Epoch: [18][3440/5005] Time 0.186 (0.224) Data 0.052 (0.076) Loss 2.9204 (2.8837) Prec@1 35.547 (37.145) Prec@5 63.281 (62.992)
Epoch: [18][3450/5005] Time 0.305 (0.224) Data 0.208 (0.076) Loss 2.7664 (2.8837) Prec@1 40.625 (37.148) Prec@5 64.062 (62.990)
Epoch: [18][3460/5005] Time 0.195 (0.224) Data 0.089 (0.076) Loss 2.7955 (2.8837) Prec@1 37.500 (37.149) Prec@5 64.453 (62.988)
Epoch: [18][3470/5005] Time 0.198 (0.224) Data 0.044 (0.076) Loss 2.6633 (2.8835) Prec@1 42.578 (37.152) Prec@5 66.016 (62.990)
Epoch: [18][3480/5005] Time 0.190 (0.224) Data 0.078 (0.076) Loss 2.8614 (2.8834) Prec@1 36.719 (37.153) Prec@5 64.453 (62.992)
Epoch: [18][3490/5005] Time 0.203 (0.224) Data 0.042 (0.076) Loss 3.1051 (2.8836) Prec@1 35.156 (37.154) Prec@5 59.766 (62.987)
Epoch: [18][3500/5005] Time 0.244 (0.224) Data 0.161 (0.076) Loss 2.8309 (2.8837) Prec@1 35.547 (37.152) Prec@5 64.844 (62.986)
Epoch: [18][3510/5005] Time 0.217 (0.224) Data 0.044 (0.076) Loss 2.8386 (2.8836) Prec@1 38.281 (37.153) Prec@5 62.500 (62.987)
Epoch: [18][3520/5005] Time 0.215 (0.224) Data 0.042 (0.076) Loss 3.1736 (2.8837) Prec@1 34.766 (37.155) Prec@5 58.594 (62.987)
Epoch: [18][3530/5005] Time 0.195 (0.224) Data 0.047 (0.076) Loss 2.9196 (2.8834) Prec@1 38.672 (37.159) Prec@5 61.719 (62.991)
Epoch: [18][3540/5005] Time 0.200 (0.224) Data 0.047 (0.076) Loss 2.8458 (2.8832) Prec@1 37.500 (37.159) Prec@5 66.797 (62.993)
Epoch: [18][3550/5005] Time 0.198 (0.224) Data 0.048 (0.076) Loss 2.8291 (2.8831) Prec@1 36.719 (37.159) Prec@5 62.891 (62.994)
Epoch: [18][3560/5005] Time 0.204 (0.224) Data 0.084 (0.076) Loss 3.0575 (2.8832) Prec@1 34.375 (37.158) Prec@5 58.594 (62.991)
Epoch: [18][3570/5005] Time 0.214 (0.224) Data 0.048 (0.076) Loss 2.9149 (2.8832) Prec@1 36.328 (37.158) Prec@5 63.672 (62.992)
Epoch: [18][3580/5005] Time 0.204 (0.224) Data 0.042 (0.076) Loss 2.6785 (2.8832) Prec@1 41.797 (37.158) Prec@5 64.453 (62.994)
Epoch: [18][3590/5005] Time 0.202 (0.224) Data 0.041 (0.076) Loss 3.0984 (2.8830) Prec@1 34.766 (37.162) Prec@5 58.594 (62.997)
Epoch: [18][3600/5005] Time 0.190 (0.224) Data 0.054 (0.076) Loss 2.9636 (2.8829) Prec@1 38.281 (37.162) Prec@5 60.156 (62.998)
Epoch: [18][3610/5005] Time 0.204 (0.224) Data 0.040 (0.076) Loss 2.8267 (2.8828) Prec@1 37.891 (37.163) Prec@5 64.062 (62.998)
Epoch: [18][3620/5005] Time 0.187 (0.224) Data 0.047 (0.076) Loss 2.9530 (2.8826) Prec@1 33.594 (37.169) Prec@5 60.156 (62.997)
Epoch: [18][3630/5005] Time 0.198 (0.224) Data 0.051 (0.076) Loss 3.3088 (2.8826) Prec@1 32.031 (37.170) Prec@5 56.641 (62.998)
Epoch: [18][3640/5005] Time 0.206 (0.224) Data 0.043 (0.076) Loss 2.8432 (2.8824) Prec@1 33.594 (37.168) Prec@5 63.281 (63.001)
Epoch: [18][3650/5005] Time 0.206 (0.224) Data 0.044 (0.076) Loss 2.7481 (2.8825) Prec@1 42.188 (37.166) Prec@5 63.672 (63.001)
Epoch: [18][3660/5005] Time 0.211 (0.224) Data 0.050 (0.076) Loss 3.0087 (2.8823) Prec@1 34.766 (37.168) Prec@5 64.453 (63.005)
Epoch: [18][3670/5005] Time 0.207 (0.224) Data 0.044 (0.076) Loss 3.0230 (2.8825) Prec@1 35.156 (37.164) Prec@5 62.109 (63.003)
Epoch: [18][3680/5005] Time 0.205 (0.224) Data 0.043 (0.076) Loss 2.7780 (2.8825) Prec@1 35.547 (37.164) Prec@5 65.625 (63.004)
Epoch: [18][3690/5005] Time 0.203 (0.224) Data 0.081 (0.076) Loss 2.7392 (2.8824) Prec@1 37.891 (37.163) Prec@5 64.453 (63.006)
Epoch: [18][3700/5005] Time 0.286 (0.224) Data 0.202 (0.076) Loss 2.9394 (2.8825) Prec@1 39.453 (37.161) Prec@5 62.500 (63.005)
Epoch: [18][3710/5005] Time 0.216 (0.224) Data 0.134 (0.076) Loss 2.7607 (2.8825) Prec@1 40.625 (37.157) Prec@5 67.188 (63.005)
Epoch: [18][3720/5005] Time 0.201 (0.224) Data 0.047 (0.077) Loss 3.0252 (2.8823) Prec@1 39.844 (37.159) Prec@5 62.109 (63.009)
Epoch: [18][3730/5005] Time 0.199 (0.224) Data 0.050 (0.076) Loss 2.7592 (2.8823) Prec@1 41.016 (37.161) Prec@5 65.625 (63.010)
Epoch: [18][3740/5005] Time 0.805 (0.224) Data 0.720 (0.077) Loss 2.8378 (2.8819) Prec@1 39.062 (37.166) Prec@5 64.062 (63.017)
Epoch: [18][3750/5005] Time 0.202 (0.224) Data 0.058 (0.077) Loss 2.7037 (2.8820) Prec@1 42.969 (37.165) Prec@5 65.234 (63.014)
Epoch: [18][3760/5005] Time 0.201 (0.224) Data 0.041 (0.077) Loss 2.8869 (2.8822) Prec@1 36.719 (37.163) Prec@5 63.281 (63.011)
Epoch: [18][3770/5005] Time 0.201 (0.224) Data 0.055 (0.077) Loss 3.0364 (2.8822) Prec@1 36.328 (37.163) Prec@5 60.938 (63.011)
Epoch: [18][3780/5005] Time 0.223 (0.224) Data 0.043 (0.077) Loss 2.9341 (2.8821) Prec@1 35.156 (37.164) Prec@5 62.109 (63.011)
Epoch: [18][3790/5005] Time 0.210 (0.224) Data 0.054 (0.077) Loss 2.9110 (2.8822) Prec@1 37.109 (37.162) Prec@5 60.938 (63.009)
Epoch: [18][3800/5005] Time 0.203 (0.224) Data 0.039 (0.077) Loss 2.7806 (2.8824) Prec@1 42.578 (37.160) Prec@5 62.500 (63.004)
Epoch: [18][3810/5005] Time 0.497 (0.224) Data 0.418 (0.077) Loss 2.7921 (2.8825) Prec@1 36.719 (37.157) Prec@5 66.016 (63.003)
Epoch: [18][3820/5005] Time 0.206 (0.224) Data 0.048 (0.077) Loss 2.7836 (2.8823) Prec@1 39.062 (37.158) Prec@5 64.062 (63.007)
Epoch: [18][3830/5005] Time 0.193 (0.224) Data 0.052 (0.077) Loss 3.0250 (2.8822) Prec@1 31.641 (37.162) Prec@5 58.984 (63.009)
Epoch: [18][3840/5005] Time 0.197 (0.224) Data 0.044 (0.077) Loss 3.0723 (2.8823) Prec@1 32.422 (37.164) Prec@5 58.203 (63.007)
Epoch: [18][3850/5005] Time 0.204 (0.224) Data 0.056 (0.077) Loss 2.9150 (2.8824) Prec@1 35.938 (37.162) Prec@5 64.844 (63.008)
Epoch: [18][3860/5005] Time 0.197 (0.224) Data 0.055 (0.077) Loss 2.7166 (2.8824) Prec@1 42.188 (37.164) Prec@5 66.797 (63.009)
Epoch: [18][3870/5005] Time 0.197 (0.224) Data 0.052 (0.077) Loss 2.9199 (2.8825) Prec@1 36.328 (37.159) Prec@5 59.766 (63.003)
Epoch: [18][3880/5005] Time 0.197 (0.224) Data 0.048 (0.077) Loss 2.8375 (2.8826) Prec@1 39.844 (37.157) Prec@5 63.672 (63.003)
Epoch: [18][3890/5005] Time 0.195 (0.224) Data 0.085 (0.077) Loss 3.0029 (2.8826) Prec@1 33.984 (37.158) Prec@5 61.719 (63.004)
Epoch: [18][3900/5005] Time 0.205 (0.224) Data 0.041 (0.077) Loss 3.2038 (2.8828) Prec@1 32.031 (37.155) Prec@5 55.859 (63.002)
Epoch: [18][3910/5005] Time 0.199 (0.224) Data 0.049 (0.077) Loss 2.9636 (2.8828) Prec@1 35.547 (37.155) Prec@5 63.281 (63.001)
Epoch: [18][3920/5005] Time 0.199 (0.224) Data 0.100 (0.077) Loss 2.8738 (2.8829) Prec@1 37.109 (37.156) Prec@5 60.547 (63.000)
Epoch: [18][3930/5005] Time 0.196 (0.224) Data 0.045 (0.077) Loss 2.8964 (2.8827) Prec@1 39.453 (37.158) Prec@5 62.891 (63.005)
Epoch: [18][3940/5005] Time 0.193 (0.224) Data 0.051 (0.077) Loss 2.8466 (2.8827) Prec@1 37.500 (37.157) Prec@5 62.891 (63.003)
Epoch: [18][3950/5005] Time 0.197 (0.224) Data 0.045 (0.077) Loss 2.7967 (2.8825) Prec@1 39.062 (37.161) Prec@5 66.016 (63.007)
Epoch: [18][3960/5005] Time 0.192 (0.224) Data 0.045 (0.077) Loss 2.6646 (2.8826) Prec@1 38.281 (37.158) Prec@5 65.234 (63.006)
Epoch: [18][3970/5005] Time 0.207 (0.224) Data 0.049 (0.077) Loss 2.8630 (2.8826) Prec@1 39.062 (37.156) Prec@5 62.891 (63.006)
Epoch: [18][3980/5005] Time 0.195 (0.224) Data 0.046 (0.077) Loss 2.6171 (2.8825) Prec@1 39.062 (37.157) Prec@5 69.531 (63.009)
Epoch: [18][3990/5005] Time 0.187 (0.224) Data 0.047 (0.077) Loss 3.0120 (2.8827) Prec@1 33.984 (37.153) Prec@5 60.156 (63.007)
Epoch: [18][4000/5005] Time 0.204 (0.224) Data 0.044 (0.077) Loss 2.9058 (2.8828) Prec@1 33.984 (37.151) Prec@5 62.500 (63.003)
Epoch: [18][4010/5005] Time 0.380 (0.224) Data 0.299 (0.077) Loss 3.1130 (2.8827) Prec@1 35.547 (37.152) Prec@5 61.719 (63.005)
Epoch: [18][4020/5005] Time 0.231 (0.224) Data 0.142 (0.077) Loss 3.0172 (2.8828) Prec@1 35.938 (37.150) Prec@5 58.984 (63.002)
Epoch: [18][4030/5005] Time 0.207 (0.224) Data 0.050 (0.077) Loss 3.1139 (2.8831) Prec@1 32.422 (37.148) Prec@5 57.422 (62.997)
Epoch: [18][4040/5005] Time 0.286 (0.224) Data 0.195 (0.077) Loss 2.7997 (2.8833) Prec@1 41.406 (37.143) Prec@5 61.328 (62.994)
Epoch: [18][4050/5005] Time 0.203 (0.224) Data 0.050 (0.077) Loss 3.0292 (2.8833) Prec@1 33.594 (37.143) Prec@5 58.203 (62.994)
Epoch: [18][4060/5005] Time 0.496 (0.224) Data 0.414 (0.077) Loss 2.8535 (2.8833) Prec@1 35.547 (37.143) Prec@5 62.109 (62.991)
Epoch: [18][4070/5005] Time 0.207 (0.224) Data 0.046 (0.077) Loss 3.0982 (2.8834) Prec@1 36.719 (37.143) Prec@5 60.547 (62.990)
Epoch: [18][4080/5005] Time 0.206 (0.224) Data 0.052 (0.077) Loss 2.8682 (2.8834) Prec@1 36.328 (37.142) Prec@5 60.547 (62.990)
Epoch: [18][4090/5005] Time 0.196 (0.224) Data 0.106 (0.077) Loss 3.0325 (2.8834) Prec@1 35.156 (37.142) Prec@5 58.594 (62.989)
Epoch: [18][4100/5005] Time 0.203 (0.224) Data 0.046 (0.077) Loss 2.7787 (2.8833) Prec@1 37.500 (37.143) Prec@5 64.844 (62.991)
Epoch: [18][4110/5005] Time 0.194 (0.224) Data 0.049 (0.077) Loss 3.1375 (2.8833) Prec@1 31.641 (37.142) Prec@5 63.672 (62.992)
Epoch: [18][4120/5005] Time 0.201 (0.224) Data 0.048 (0.077) Loss 3.0216 (2.8832) Prec@1 34.766 (37.143) Prec@5 60.156 (62.993)
Epoch: [18][4130/5005] Time 0.189 (0.224) Data 0.049 (0.077) Loss 3.1224 (2.8833) Prec@1 32.422 (37.141) Prec@5 59.766 (62.993)
Epoch: [18][4140/5005] Time 0.199 (0.224) Data 0.050 (0.077) Loss 3.0498 (2.8833) Prec@1 38.281 (37.140) Prec@5 59.766 (62.992)
Epoch: [18][4150/5005] Time 0.420 (0.224) Data 0.329 (0.077) Loss 3.0665 (2.8833) Prec@1 32.031 (37.138) Prec@5 60.547 (62.993)
Epoch: [18][4160/5005] Time 0.198 (0.224) Data 0.044 (0.077) Loss 2.7886 (2.8835) Prec@1 35.547 (37.137) Prec@5 64.453 (62.990)
Epoch: [18][4170/5005] Time 0.201 (0.224) Data 0.041 (0.077) Loss 2.8025 (2.8833) Prec@1 35.547 (37.140) Prec@5 66.016 (62.995)
Epoch: [18][4180/5005] Time 0.217 (0.224) Data 0.043 (0.077) Loss 2.5983 (2.8833) Prec@1 37.109 (37.140) Prec@5 66.797 (62.995)
Epoch: [18][4190/5005] Time 0.198 (0.224) Data 0.087 (0.077) Loss 2.8144 (2.8834) Prec@1 34.375 (37.139) Prec@5 62.500 (62.992)
Epoch: [18][4200/5005] Time 0.193 (0.224) Data 0.059 (0.078) Loss 2.6737 (2.8833) Prec@1 37.891 (37.142) Prec@5 66.016 (62.990)
Epoch: [18][4210/5005] Time 0.216 (0.224) Data 0.044 (0.078) Loss 2.7506 (2.8833) Prec@1 37.891 (37.141) Prec@5 67.188 (62.992)
Epoch: [18][4220/5005] Time 0.207 (0.224) Data 0.049 (0.078) Loss 3.0774 (2.8834) Prec@1 35.547 (37.141) Prec@5 58.984 (62.990)
Epoch: [18][4230/5005] Time 0.205 (0.224) Data 0.045 (0.078) Loss 2.7669 (2.8834) Prec@1 39.844 (37.141) Prec@5 66.016 (62.989)
Epoch: [18][4240/5005] Time 0.204 (0.224) Data 0.051 (0.078) Loss 2.7535 (2.8834) Prec@1 38.672 (37.139) Prec@5 65.234 (62.990)
Epoch: [18][4250/5005] Time 0.506 (0.224) Data 0.420 (0.078) Loss 2.7691 (2.8832) Prec@1 37.891 (37.141) Prec@5 65.234 (62.991)
Epoch: [18][4260/5005] Time 0.230 (0.224) Data 0.142 (0.078) Loss 2.8693 (2.8833) Prec@1 38.672 (37.140) Prec@5 60.938 (62.988)
Epoch: [18][4270/5005] Time 0.206 (0.224) Data 0.056 (0.078) Loss 3.1837 (2.8834) Prec@1 33.984 (37.137) Prec@5 57.812 (62.986)
Epoch: [18][4280/5005] Time 0.191 (0.224) Data 0.044 (0.078) Loss 2.9297 (2.8834) Prec@1 34.766 (37.138) Prec@5 65.625 (62.986)
Epoch: [18][4290/5005] Time 0.204 (0.224) Data 0.041 (0.078) Loss 3.1009 (2.8836) Prec@1 35.938 (37.134) Prec@5 60.938 (62.984)
Epoch: [18][4300/5005] Time 0.414 (0.224) Data 0.330 (0.078) Loss 2.7707 (2.8833) Prec@1 39.453 (37.136) Prec@5 65.234 (62.986)
Epoch: [18][4310/5005] Time 0.202 (0.224) Data 0.041 (0.078) Loss 2.7334 (2.8835) Prec@1 41.016 (37.137) Prec@5 66.406 (62.982)
Epoch: [18][4320/5005] Time 0.185 (0.224) Data 0.107 (0.078) Loss 2.8302 (2.8836) Prec@1 38.672 (37.136) Prec@5 64.844 (62.980)
Epoch: [18][4330/5005] Time 0.211 (0.224) Data 0.053 (0.078) Loss 2.7735 (2.8836) Prec@1 41.016 (37.136) Prec@5 64.453 (62.980)
Epoch: [18][4340/5005] Time 0.202 (0.224) Data 0.050 (0.078) Loss 2.8433 (2.8836) Prec@1 36.328 (37.133) Prec@5 65.234 (62.980)
Epoch: [18][4350/5005] Time 0.196 (0.224) Data 0.051 (0.078) Loss 3.0124 (2.8835) Prec@1 36.328 (37.135) Prec@5 61.719 (62.983)
Epoch: [18][4360/5005] Time 0.452 (0.224) Data 0.363 (0.078) Loss 2.7847 (2.8834) Prec@1 35.547 (37.134) Prec@5 63.672 (62.984)
Epoch: [18][4370/5005] Time 0.205 (0.224) Data 0.047 (0.078) Loss 2.9538 (2.8835) Prec@1 34.766 (37.134) Prec@5 63.672 (62.985)
Epoch: [18][4380/5005] Time 0.191 (0.225) Data 0.048 (0.078) Loss 2.9945 (2.8834) Prec@1 32.031 (37.133) Prec@5 61.328 (62.987)
Epoch: [18][4390/5005] Time 0.200 (0.224) Data 0.042 (0.078) Loss 2.9449 (2.8833) Prec@1 39.062 (37.138) Prec@5 60.938 (62.989)
Epoch: [18][4400/5005] Time 0.209 (0.224) Data 0.041 (0.078) Loss 2.9208 (2.8833) Prec@1 36.719 (37.141) Prec@5 62.891 (62.989)
Epoch: [18][4410/5005] Time 0.202 (0.224) Data 0.047 (0.078) Loss 2.9478 (2.8832) Prec@1 33.594 (37.140) Prec@5 61.719 (62.991)
Epoch: [18][4420/5005] Time 0.193 (0.224) Data 0.060 (0.078) Loss 2.5388 (2.8831) Prec@1 42.188 (37.138) Prec@5 66.406 (62.992)
Epoch: [18][4430/5005] Time 0.420 (0.224) Data 0.337 (0.078) Loss 3.0464 (2.8829) Prec@1 33.984 (37.143) Prec@5 57.812 (62.995)
Epoch: [18][4440/5005] Time 0.347 (0.224) Data 0.261 (0.078) Loss 2.9836 (2.8829) Prec@1 42.188 (37.146) Prec@5 61.719 (62.994)
Epoch: [18][4450/5005] Time 0.307 (0.224) Data 0.215 (0.078) Loss 2.7180 (2.8829) Prec@1 39.844 (37.147) Prec@5 66.797 (62.995)
Epoch: [18][4460/5005] Time 0.671 (0.224) Data 0.589 (0.078) Loss 2.9278 (2.8828) Prec@1 37.891 (37.151) Prec@5 61.328 (62.993)
Epoch: [18][4470/5005] Time 0.215 (0.224) Data 0.139 (0.078) Loss 3.0024 (2.8829) Prec@1 32.422 (37.148) Prec@5 58.203 (62.991)
Epoch: [18][4480/5005] Time 0.194 (0.224) Data 0.051 (0.078) Loss 2.7638 (2.8830) Prec@1 41.797 (37.150) Prec@5 67.188 (62.989)
Epoch: [18][4490/5005] Time 0.339 (0.224) Data 0.258 (0.078) Loss 2.7817 (2.8831) Prec@1 37.500 (37.148) Prec@5 64.062 (62.988)
Epoch: [18][4500/5005] Time 0.205 (0.224) Data 0.067 (0.078) Loss 2.8348 (2.8831) Prec@1 38.281 (37.151) Prec@5 62.500 (62.988)
Epoch: [18][4510/5005] Time 0.217 (0.224) Data 0.045 (0.078) Loss 2.6925 (2.8831) Prec@1 41.406 (37.149) Prec@5 66.797 (62.988)
Epoch: [18][4520/5005] Time 0.205 (0.224) Data 0.045 (0.078) Loss 2.9103 (2.8829) Prec@1 35.547 (37.154) Prec@5 64.062 (62.992)
Epoch: [18][4530/5005] Time 0.201 (0.224) Data 0.043 (0.078) Loss 2.6701 (2.8828) Prec@1 39.844 (37.157) Prec@5 67.969 (62.994)
Epoch: [18][4540/5005] Time 0.198 (0.224) Data 0.049 (0.078) Loss 3.1117 (2.8831) Prec@1 33.203 (37.154) Prec@5 60.547 (62.991)
Epoch: [18][4550/5005] Time 0.203 (0.224) Data 0.044 (0.078) Loss 2.9512 (2.8831) Prec@1 41.406 (37.156) Prec@5 60.938 (62.991)
Epoch: [18][4560/5005] Time 0.207 (0.225) Data 0.045 (0.078) Loss 2.8056 (2.8828) Prec@1 41.797 (37.160) Prec@5 67.578 (62.996)
Epoch: [18][4570/5005] Time 0.208 (0.225) Data 0.052 (0.078) Loss 2.9805 (2.8828) Prec@1 39.453 (37.161) Prec@5 63.672 (62.998)
Epoch: [18][4580/5005] Time 0.245 (0.224) Data 0.162 (0.078) Loss 2.9865 (2.8827) Prec@1 32.812 (37.161) Prec@5 59.375 (62.998)
Epoch: [18][4590/5005] Time 0.205 (0.225) Data 0.067 (0.078) Loss 2.8046 (2.8827) Prec@1 38.672 (37.160) Prec@5 64.062 (63.000)
Epoch: [18][4600/5005] Time 0.207 (0.224) Data 0.047 (0.078) Loss 2.7054 (2.8827) Prec@1 42.188 (37.161) Prec@5 69.141 (62.999)
Epoch: [18][4610/5005] Time 0.196 (0.224) Data 0.053 (0.078) Loss 2.7695 (2.8827) Prec@1 39.062 (37.164) Prec@5 65.234 (63.000)
Epoch: [18][4620/5005] Time 0.196 (0.224) Data 0.057 (0.078) Loss 2.7505 (2.8826) Prec@1 39.453 (37.166) Prec@5 63.672 (63.001)
Epoch: [18][4630/5005] Time 0.198 (0.224) Data 0.049 (0.078) Loss 2.7696 (2.8825) Prec@1 42.578 (37.167) Prec@5 67.969 (63.003)
Epoch: [18][4640/5005] Time 0.206 (0.224) Data 0.045 (0.078) Loss 2.9141 (2.8825) Prec@1 41.016 (37.168) Prec@5 60.156 (63.001)
Epoch: [18][4650/5005] Time 0.189 (0.224) Data 0.050 (0.078) Loss 2.7832 (2.8824) Prec@1 39.062 (37.170) Prec@5 67.969 (63.004)
Epoch: [18][4660/5005] Time 0.198 (0.224) Data 0.047 (0.078) Loss 3.1062 (2.8825) Prec@1 32.422 (37.167) Prec@5 58.203 (63.003)
Epoch: [18][4670/5005] Time 0.206 (0.224) Data 0.044 (0.078) Loss 2.8307 (2.8825) Prec@1 38.281 (37.168) Prec@5 62.109 (63.003)
Epoch: [18][4680/5005] Time 0.199 (0.224) Data 0.048 (0.078) Loss 2.7194 (2.8825) Prec@1 42.188 (37.167) Prec@5 66.406 (63.002)
Epoch: [18][4690/5005] Time 0.200 (0.225) Data 0.045 (0.078) Loss 3.0555 (2.8826) Prec@1 35.156 (37.167) Prec@5 59.766 (62.999)
Epoch: [18][4700/5005] Time 0.202 (0.224) Data 0.094 (0.078) Loss 2.7379 (2.8825) Prec@1 39.062 (37.170) Prec@5 66.016 (63.001)
Epoch: [18][4710/5005] Time 0.212 (0.224) Data 0.046 (0.078) Loss 2.7767 (2.8823) Prec@1 40.625 (37.172) Prec@5 65.625 (63.003)
Epoch: [18][4720/5005] Time 0.201 (0.224) Data 0.058 (0.078) Loss 2.7349 (2.8824) Prec@1 39.453 (37.174) Prec@5 66.406 (63.001)
Epoch: [18][4730/5005] Time 0.208 (0.224) Data 0.047 (0.078) Loss 2.8280 (2.8826) Prec@1 38.281 (37.171) Prec@5 65.234 (62.997)
Epoch: [18][4740/5005] Time 0.197 (0.224) Data 0.080 (0.078) Loss 2.7908 (2.8825) Prec@1 38.281 (37.172) Prec@5 62.891 (62.997)
Epoch: [18][4750/5005] Time 0.211 (0.224) Data 0.047 (0.079) Loss 2.8563 (2.8825) Prec@1 42.969 (37.174) Prec@5 63.281 (62.997)
Epoch: [18][4760/5005] Time 0.203 (0.224) Data 0.045 (0.078) Loss 3.1724 (2.8824) Prec@1 30.859 (37.176) Prec@5 61.328 (62.999)
Epoch: [18][4770/5005] Time 0.198 (0.224) Data 0.051 (0.078) Loss 2.7962 (2.8823) Prec@1 39.062 (37.176) Prec@5 67.188 (63.002)
Epoch: [18][4780/5005] Time 0.240 (0.224) Data 0.149 (0.079) Loss 2.8911 (2.8824) Prec@1 37.891 (37.175) Prec@5 64.062 (63.003)
Epoch: [18][4790/5005] Time 0.196 (0.224) Data 0.046 (0.078) Loss 3.0159 (2.8824) Prec@1 38.672 (37.178) Prec@5 61.328 (63.003)
Epoch: [18][4800/5005] Time 0.201 (0.224) Data 0.050 (0.078) Loss 3.0564 (2.8823) Prec@1 32.812 (37.177) Prec@5 63.281 (63.005)
Epoch: [18][4810/5005] Time 0.323 (0.224) Data 0.234 (0.078) Loss 3.0401 (2.8823) Prec@1 35.156 (37.177) Prec@5 58.203 (63.005)
Epoch: [18][4820/5005] Time 0.231 (0.224) Data 0.145 (0.078) Loss 2.9631 (2.8821) Prec@1 37.500 (37.181) Prec@5 57.422 (63.008)
Epoch: [18][4830/5005] Time 0.206 (0.224) Data 0.041 (0.079) Loss 2.9000 (2.8819) Prec@1 38.672 (37.184) Prec@5 60.938 (63.010)
Epoch: [18][4840/5005] Time 0.192 (0.224) Data 0.102 (0.079) Loss 2.6028 (2.8820) Prec@1 43.750 (37.182) Prec@5 65.234 (63.008)
Epoch: [18][4850/5005] Time 0.210 (0.225) Data 0.048 (0.079) Loss 2.8439 (2.8822) Prec@1 37.891 (37.180) Prec@5 64.062 (63.004)
Epoch: [18][4860/5005] Time 0.196 (0.225) Data 0.044 (0.079) Loss 2.9204 (2.8821) Prec@1 39.453 (37.182) Prec@5 61.719 (63.005)
Epoch: [18][4870/5005] Time 0.197 (0.224) Data 0.056 (0.079) Loss 2.7822 (2.8822) Prec@1 42.969 (37.182) Prec@5 67.578 (63.003)
Epoch: [18][4880/5005] Time 0.197 (0.225) Data 0.050 (0.079) Loss 2.8533 (2.8822) Prec@1 40.234 (37.185) Prec@5 63.672 (63.004)
Epoch: [18][4890/5005] Time 0.204 (0.224) Data 0.051 (0.079) Loss 2.8949 (2.8821) Prec@1 40.234 (37.183) Prec@5 62.891 (63.006)
Epoch: [18][4900/5005] Time 0.369 (0.224) Data 0.283 (0.079) Loss 2.7120 (2.8821) Prec@1 39.062 (37.182) Prec@5 65.234 (63.006)
Epoch: [18][4910/5005] Time 0.204 (0.225) Data 0.043 (0.079) Loss 2.8956 (2.8820) Prec@1 38.672 (37.183) Prec@5 65.625 (63.009)
Epoch: [18][4920/5005] Time 0.197 (0.225) Data 0.043 (0.079) Loss 2.9629 (2.8820) Prec@1 33.203 (37.180) Prec@5 60.938 (63.006)
Epoch: [18][4930/5005] Time 0.210 (0.225) Data 0.040 (0.079) Loss 2.8340 (2.8819) Prec@1 38.281 (37.181) Prec@5 62.891 (63.006)
Epoch: [18][4940/5005] Time 0.213 (0.225) Data 0.044 (0.079) Loss 2.9729 (2.8821) Prec@1 40.234 (37.180) Prec@5 61.328 (63.002)
Epoch: [18][4950/5005] Time 0.201 (0.225) Data 0.050 (0.079) Loss 2.7794 (2.8822) Prec@1 35.547 (37.175) Prec@5 65.234 (63.001)
Epoch: [18][4960/5005] Time 0.199 (0.225) Data 0.040 (0.079) Loss 2.9553 (2.8822) Prec@1 34.375 (37.175) Prec@5 66.016 (63.003)
Epoch: [18][4970/5005] Time 0.206 (0.225) Data 0.048 (0.079) Loss 2.9784 (2.8822) Prec@1 35.547 (37.174) Prec@5 62.891 (63.003)
Epoch: [18][4980/5005] Time 0.202 (0.225) Data 0.052 (0.079) Loss 2.9187 (2.8820) Prec@1 33.984 (37.176) Prec@5 64.453 (63.008)
Epoch: [18][4990/5005] Time 0.205 (0.225) Data 0.036 (0.079) Loss 3.0617 (2.8819) Prec@1 31.641 (37.178) Prec@5 59.375 (63.009)
Epoch: [18][5000/5005] Time 0.202 (0.225) Data 0.025 (0.079) Loss 2.9396 (2.8819) Prec@1 31.250 (37.178) Prec@5 63.281 (63.008)
Test: [0/196] Time 2.759 (2.759) Loss 2.9326 (2.9326) Prec@1 36.328 (36.328) Prec@5 64.844 (64.844)
Test: [10/196] Time 0.041 (0.439) Loss 3.0461 (3.0593) Prec@1 38.672 (33.523) Prec@5 58.203 (60.050)
Test: [20/196] Time 0.043 (0.306) Loss 3.0322 (3.0592) Prec@1 36.328 (33.891) Prec@5 57.422 (59.654)
Test: [30/196] Time 0.042 (0.271) Loss 2.9369 (3.0736) Prec@1 36.719 (33.732) Prec@5 61.328 (59.488)
Test: [40/196] Time 1.237 (0.284) Loss 2.9586 (3.0746) Prec@1 38.672 (34.070) Prec@5 60.938 (59.708)
Test: [50/196] Time 0.042 (0.263) Loss 3.1497 (3.0796) Prec@1 30.469 (34.053) Prec@5 62.500 (59.789)
Test: [60/196] Time 0.443 (0.260) Loss 2.8872 (3.0633) Prec@1 39.453 (34.394) Prec@5 62.500 (60.060)
Test: [70/196] Time 0.182 (0.251) Loss 3.0336 (3.0585) Prec@1 33.203 (34.441) Prec@5 61.719 (60.310)
Test: [80/196] Time 0.043 (0.245) Loss 2.8839 (3.0666) Prec@1 40.234 (34.240) Prec@5 62.109 (60.108)
Test: [90/196] Time 0.045 (0.244) Loss 3.1911 (3.0651) Prec@1 32.812 (34.328) Prec@5 58.984 (60.023)
Test: [100/196] Time 0.264 (0.243) Loss 3.1893 (3.0647) Prec@1 34.375 (34.363) Prec@5 55.859 (60.021)
Test: [110/196] Time 0.043 (0.240) Loss 3.1713 (3.0666) Prec@1 33.984 (34.435) Prec@5 56.641 (60.058)
Test: [120/196] Time 0.242 (0.239) Loss 2.9475 (3.0631) Prec@1 33.984 (34.443) Prec@5 60.156 (60.024)
Test: [130/196] Time 0.189 (0.239) Loss 2.7378 (3.0595) Prec@1 37.891 (34.614) Prec@5 66.797 (60.100)
Test: [140/196] Time 0.136 (0.238) Loss 2.7949 (3.0592) Prec@1 43.750 (34.602) Prec@5 63.281 (60.081)
Test: [150/196] Time 0.043 (0.237) Loss 2.6671 (3.0561) Prec@1 38.281 (34.652) Prec@5 67.969 (60.138)
Test: [160/196] Time 0.043 (0.234) Loss 3.0221 (3.0531) Prec@1 36.328 (34.732) Prec@5 61.719 (60.161)
Test: [170/196] Time 0.047 (0.234) Loss 2.9017 (3.0551) Prec@1 37.109 (34.686) Prec@5 62.891 (60.149)
Test: [180/196] Time 0.513 (0.235) Loss 3.1884 (3.0595) Prec@1 33.203 (34.640) Prec@5 58.594 (60.070)
Test: [190/196] Time 0.185 (0.233) Loss 3.3350 (3.0632) Prec@1 32.031 (34.602) Prec@5 53.125 (59.925)
* Prec@1 34.592 Prec@5 59.946
Learning rate: 0.001
Epoch: [19][0/5005] Time 2.062 (2.062) Data 1.956 (1.956) Loss 2.7665 (2.7665) Prec@1 38.281 (38.281) Prec@5 64.453 (64.453)
Epoch: [19][10/5005] Time 0.199 (0.370) Data 0.042 (0.224) Loss 2.7448 (2.8559) Prec@1 38.281 (37.855) Prec@5 66.016 (63.920)
Epoch: [19][20/5005] Time 0.212 (0.289) Data 0.042 (0.138) Loss 3.0117 (2.8813) Prec@1 37.891 (37.016) Prec@5 63.672 (63.542)
Epoch: [19][30/5005] Time 0.196 (0.260) Data 0.048 (0.108) Loss 2.7920 (2.8586) Prec@1 38.281 (37.450) Prec@5 64.844 (64.062)
Epoch: [19][40/5005] Time 0.191 (0.246) Data 0.042 (0.092) Loss 2.8487 (2.8651) Prec@1 32.422 (37.367) Prec@5 63.281 (64.005)
Epoch: [19][50/5005] Time 0.214 (0.237) Data 0.042 (0.083) Loss 2.7820 (2.8671) Prec@1 35.156 (37.140) Prec@5 67.188 (63.886)
Epoch: [19][60/5005] Time 0.218 (0.231) Data 0.060 (0.077) Loss 2.8185 (2.8684) Prec@1 36.328 (37.193) Prec@5 66.406 (63.896)
Epoch: [19][70/5005] Time 0.216 (0.226) Data 0.047 (0.073) Loss 2.9341 (2.8774) Prec@1 31.250 (36.873) Prec@5 62.500 (63.567)
Epoch: [19][80/5005] Time 0.202 (0.223) Data 0.048 (0.070) Loss 2.9216 (2.8721) Prec@1 39.453 (37.008) Prec@5 62.500 (63.518)
Epoch: [19][90/5005] Time 0.206 (0.221) Data 0.046 (0.068) Loss 2.8825 (2.8705) Prec@1 36.328 (37.178) Prec@5 65.234 (63.474)
Epoch: [19][100/5005] Time 0.202 (0.219) Data 0.044 (0.065) Loss 2.6239 (2.8741) Prec@1 39.062 (37.148) Prec@5 70.703 (63.498)
Epoch: [19][110/5005] Time 0.207 (0.217) Data 0.049 (0.063) Loss 3.0076 (2.8747) Prec@1 37.500 (37.233) Prec@5 62.500 (63.489)
Epoch: [19][120/5005] Time 0.190 (0.215) Data 0.047 (0.062) Loss 2.8963 (2.8741) Prec@1 35.547 (37.222) Prec@5 59.766 (63.420)
Epoch: [19][130/5005] Time 0.217 (0.217) Data 0.043 (0.064) Loss 2.8584 (2.8709) Prec@1 41.797 (37.270) Prec@5 63.281 (63.463)
Epoch: [19][140/5005] Time 0.202 (0.219) Data 0.040 (0.066) Loss 3.0018 (2.8689) Prec@1 35.938 (37.173) Prec@5 61.328 (63.442)
Epoch: [19][150/5005] Time 0.194 (0.220) Data 0.061 (0.067) Loss 3.0702 (2.8730) Prec@1 32.031 (37.094) Prec@5 58.594 (63.395)
Epoch: [19][160/5005] Time 0.272 (0.220) Data 0.186 (0.069) Loss 2.8201 (2.8766) Prec@1 37.500 (37.068) Prec@5 63.281 (63.313)
Epoch: [19][170/5005] Time 0.376 (0.221) Data 0.296 (0.072) Loss 2.8354 (2.8746) Prec@1 38.281 (37.150) Prec@5 64.844 (63.322)
Epoch: [19][180/5005] Time 0.205 (0.221) Data 0.057 (0.072) Loss 3.0705 (2.8764) Prec@1 32.812 (37.133) Prec@5 59.375 (63.322)
Epoch: [19][190/5005] Time 0.220 (0.223) Data 0.047 (0.074) Loss 2.9511 (2.8812) Prec@1 35.938 (37.050) Prec@5 61.328 (63.236)
Epoch: [19][200/5005] Time 0.213 (0.224) Data 0.040 (0.075) Loss 3.1446 (2.8830) Prec@1 31.641 (37.008) Prec@5 58.203 (63.172)
Epoch: [19][210/5005] Time 0.313 (0.224) Data 0.228 (0.075) Loss 2.7458 (2.8829) Prec@1 39.844 (37.006) Prec@5 65.625 (63.144)
Epoch: [19][220/5005] Time 0.212 (0.225) Data 0.053 (0.076) Loss 2.7318 (2.8816) Prec@1 40.234 (37.046) Prec@5 62.500 (63.179)
Epoch: [19][230/5005] Time 0.210 (0.225) Data 0.048 (0.076) Loss 2.8483 (2.8807) Prec@1 37.109 (37.104) Prec@5 62.891 (63.209)
Epoch: [19][240/5005] Time 0.210 (0.225) Data 0.042 (0.077) Loss 2.7503 (2.8803) Prec@1 40.625 (37.106) Prec@5 64.844 (63.192)
Epoch: [19][250/5005] Time 0.300 (0.227) Data 0.214 (0.078) Loss 3.0433 (2.8790) Prec@1 34.375 (37.106) Prec@5 62.109 (63.211)
Epoch: [19][260/5005] Time 0.210 (0.227) Data 0.051 (0.079) Loss 2.7336 (2.8777) Prec@1 38.672 (37.124) Prec@5 66.406 (63.230)
Epoch: [19][270/5005] Time 0.199 (0.227) Data 0.062 (0.080) Loss 2.8549 (2.8765) Prec@1 37.109 (37.122) Prec@5 62.891 (63.237)
Epoch: [19][280/5005] Time 0.314 (0.228) Data 0.219 (0.081) Loss 3.1919 (2.8793) Prec@1 33.594 (37.083) Prec@5 54.688 (63.178)
Epoch: [19][290/5005] Time 0.212 (0.229) Data 0.044 (0.082) Loss 2.8115 (2.8815) Prec@1 38.281 (37.079) Prec@5 63.281 (63.119)
Epoch: [19][300/5005] Time 0.213 (0.228) Data 0.048 (0.082) Loss 2.6917 (2.8808) Prec@1 37.109 (37.098) Prec@5 68.750 (63.153)
Epoch: [19][310/5005] Time 0.204 (0.229) Data 0.044 (0.082) Loss 2.8874 (2.8773) Prec@1 35.156 (37.175) Prec@5 61.719 (63.208)
Epoch: [19][320/5005] Time 0.198 (0.231) Data 0.054 (0.084) Loss 3.1418 (2.8784) Prec@1 32.812 (37.175) Prec@5 57.812 (63.146)
Epoch: [19][330/5005] Time 0.202 (0.230) Data 0.039 (0.084) Loss 2.6013 (2.8765) Prec@1 40.625 (37.219) Prec@5 66.406 (63.174)
Epoch: [19][340/5005] Time 0.202 (0.231) Data 0.051 (0.084) Loss 3.0311 (2.8796) Prec@1 33.984 (37.179) Prec@5 62.500 (63.121)
Epoch: [19][350/5005] Time 0.215 (0.230) Data 0.080 (0.084) Loss 2.9830 (2.8791) Prec@1 36.719 (37.204) Prec@5 61.719 (63.132)
Epoch: [19][360/5005] Time 0.209 (0.230) Data 0.046 (0.083) Loss 2.9752 (2.8793) Prec@1 36.328 (37.199) Prec@5 61.328 (63.106)
Epoch: [19][370/5005] Time 0.204 (0.230) Data 0.044 (0.082) Loss 2.9365 (2.8781) Prec@1 35.547 (37.196) Prec@5 62.109 (63.123)
Epoch: [19][380/5005] Time 0.210 (0.229) Data 0.042 (0.081) Loss 3.0827 (2.8790) Prec@1 35.156 (37.184) Prec@5 58.203 (63.083)
Epoch: [19][390/5005] Time 0.214 (0.229) Data 0.040 (0.080) Loss 2.8355 (2.8797) Prec@1 41.016 (37.193) Prec@5 63.281 (63.038)
Epoch: [19][400/5005] Time 0.218 (0.229) Data 0.042 (0.079) Loss 2.7498 (2.8786) Prec@1 37.891 (37.199) Prec@5 68.359 (63.070)
Epoch: [19][410/5005] Time 0.218 (0.228) Data 0.042 (0.078) Loss 2.7751 (2.8773) Prec@1 38.672 (37.217) Prec@5 64.062 (63.087)
Epoch: [19][420/5005] Time 0.213 (0.228) Data 0.047 (0.078) Loss 2.9009 (2.8773) Prec@1 33.984 (37.235) Prec@5 59.375 (63.075)
Epoch: [19][430/5005] Time 0.203 (0.227) Data 0.044 (0.077) Loss 2.7127 (2.8772) Prec@1 39.453 (37.244) Prec@5 64.844 (63.065)
Epoch: [19][440/5005] Time 0.219 (0.227) Data 0.046 (0.076) Loss 2.7602 (2.8761) Prec@1 41.016 (37.225) Prec@5 65.234 (63.086)
Epoch: [19][450/5005] Time 0.217 (0.227) Data 0.042 (0.076) Loss 2.5959 (2.8760) Prec@1 40.625 (37.242) Prec@5 68.359 (63.100)
Epoch: [19][460/5005] Time 0.208 (0.227) Data 0.048 (0.075) Loss 2.9081 (2.8769) Prec@1 35.938 (37.239) Prec@5 58.984 (63.093)
Epoch: [19][470/5005] Time 0.219 (0.226) Data 0.046 (0.074) Loss 2.8439 (2.8779) Prec@1 38.281 (37.245) Prec@5 61.328 (63.046)
Epoch: [19][480/5005] Time 0.215 (0.226) Data 0.045 (0.074) Loss 2.8857 (2.8778) Prec@1 39.062 (37.240) Prec@5 62.891 (63.055)
Epoch: [19][490/5005] Time 0.213 (0.226) Data 0.053 (0.074) Loss 2.7962 (2.8780) Prec@1 43.359 (37.252) Prec@5 64.844 (63.043)
Epoch: [19][500/5005] Time 0.214 (0.225) Data 0.042 (0.073) Loss 2.9472 (2.8801) Prec@1 38.281 (37.227) Prec@5 60.938 (62.997)
Epoch: [19][510/5005] Time 0.223 (0.225) Data 0.041 (0.073) Loss 3.1292 (2.8811) Prec@1 30.469 (37.217) Prec@5 58.984 (62.964)
Epoch: [19][520/5005] Time 0.211 (0.225) Data 0.054 (0.072) Loss 2.8887 (2.8802) Prec@1 35.156 (37.241) Prec@5 62.500 (62.984)
Epoch: [19][530/5005] Time 0.215 (0.225) Data 0.045 (0.072) Loss 2.9653 (2.8799) Prec@1 39.844 (37.249) Prec@5 63.281 (62.990)
Epoch: [19][540/5005] Time 0.217 (0.224) Data 0.050 (0.071) Loss 3.0057 (2.8802) Prec@1 36.719 (37.239) Prec@5 62.109 (62.969)
Epoch: [19][550/5005] Time 0.206 (0.224) Data 0.044 (0.071) Loss 2.8806 (2.8788) Prec@1 36.328 (37.265) Prec@5 64.062 (63.011)
Epoch: [19][560/5005] Time 0.222 (0.224) Data 0.048 (0.070) Loss 2.9698 (2.8783) Prec@1 33.594 (37.269) Prec@5 60.547 (63.035)
Epoch: [19][570/5005] Time 0.206 (0.224) Data 0.049 (0.070) Loss 2.9137 (2.8788) Prec@1 36.719 (37.261) Prec@5 62.891 (63.019)
Epoch: [19][580/5005] Time 0.211 (0.224) Data 0.041 (0.070) Loss 2.8358 (2.8776) Prec@1 38.672 (37.271) Prec@5 63.672 (63.051)
Epoch: [19][590/5005] Time 0.216 (0.223) Data 0.039 (0.069) Loss 3.0934 (2.8775) Prec@1 32.031 (37.269) Prec@5 60.156 (63.043)
Epoch: [19][600/5005] Time 0.208 (0.223) Data 0.043 (0.069) Loss 2.8716 (2.8785) Prec@1 37.500 (37.248) Prec@5 64.062 (63.039)
Epoch: [19][610/5005] Time 0.217 (0.223) Data 0.044 (0.068) Loss 2.8601 (2.8786) Prec@1 35.938 (37.240) Prec@5 63.281 (63.036)
Epoch: [19][620/5005] Time 0.215 (0.223) Data 0.039 (0.068) Loss 2.8167 (2.8785) Prec@1 39.844 (37.258) Prec@5 65.625 (63.043)
Epoch: [19][630/5005] Time 0.217 (0.223) Data 0.039 (0.067) Loss 2.9938 (2.8786) Prec@1 38.281 (37.265) Prec@5 63.281 (63.055)
Epoch: [19][640/5005] Time 0.215 (0.223) Data 0.050 (0.067) Loss 2.7716 (2.8774) Prec@1 37.891 (37.283) Prec@5 63.281 (63.066)
Epoch: [19][650/5005] Time 0.213 (0.222) Data 0.047 (0.067) Loss 3.0255 (2.8787) Prec@1 33.984 (37.270) Prec@5 59.375 (63.046)
Epoch: [19][660/5005] Time 0.219 (0.222) Data 0.043 (0.067) Loss 2.9052 (2.8784) Prec@1 32.812 (37.271) Prec@5 63.281 (63.051)
Epoch: [19][670/5005] Time 0.214 (0.222) Data 0.040 (0.066) Loss 3.0282 (2.8787) Prec@1 37.109 (37.271) Prec@5 59.766 (63.047)
Epoch: [19][680/5005] Time 0.216 (0.222) Data 0.043 (0.066) Loss 2.9321 (2.8790) Prec@1 35.156 (37.249) Prec@5 63.281 (63.033)
Epoch: [19][690/5005] Time 0.215 (0.222) Data 0.043 (0.066) Loss 2.7359 (2.8785) Prec@1 38.281 (37.252) Prec@5 66.797 (63.044)
Epoch: [19][700/5005] Time 0.215 (0.222) Data 0.043 (0.065) Loss 2.8865 (2.8786) Prec@1 37.109 (37.238) Prec@5 62.891 (63.041)
Epoch: [19][710/5005] Time 0.212 (0.222) Data 0.039 (0.065) Loss 2.6212 (2.8778) Prec@1 42.969 (37.252) Prec@5 67.969 (63.049)
Epoch: [19][720/5005] Time 0.212 (0.222) Data 0.043 (0.065) Loss 2.8994 (2.8774) Prec@1 35.156 (37.268) Prec@5 62.891 (63.047)
Epoch: [19][730/5005] Time 0.210 (0.221) Data 0.042 (0.064) Loss 3.0902 (2.8780) Prec@1 34.766 (37.263) Prec@5 62.109 (63.043)
Epoch: [19][740/5005] Time 0.209 (0.221) Data 0.043 (0.064) Loss 2.8882 (2.8775) Prec@1 38.281 (37.302) Prec@5 62.109 (63.047)
Epoch: [19][750/5005] Time 0.215 (0.221) Data 0.046 (0.064) Loss 2.8603 (2.8772) Prec@1 35.547 (37.307) Prec@5 63.281 (63.059)
Epoch: [19][760/5005] Time 0.214 (0.221) Data 0.041 (0.064) Loss 2.7926 (2.8772) Prec@1 41.016 (37.315) Prec@5 63.281 (63.069)
Epoch: [19][770/5005] Time 0.207 (0.221) Data 0.046 (0.063) Loss 2.9723 (2.8762) Prec@1 37.109 (37.342) Prec@5 59.766 (63.098)
Epoch: [19][780/5005] Time 0.212 (0.221) Data 0.044 (0.063) Loss 3.0705 (2.8766) Prec@1 31.250 (37.321) Prec@5 57.812 (63.090)
Epoch: [19][790/5005] Time 0.207 (0.221) Data 0.051 (0.063) Loss 2.8135 (2.8760) Prec@1 40.234 (37.323) Prec@5 62.500 (63.105)
Epoch: [19][800/5005] Time 0.218 (0.221) Data 0.046 (0.063) Loss 2.6914 (2.8753) Prec@1 35.547 (37.338) Prec@5 67.578 (63.117)
Epoch: [19][810/5005] Time 0.209 (0.221) Data 0.048 (0.063) Loss 3.1108 (2.8757) Prec@1 33.984 (37.322) Prec@5 58.203 (63.113)
Epoch: [19][820/5005] Time 0.214 (0.221) Data 0.047 (0.063) Loss 2.9281 (2.8761) Prec@1 37.109 (37.314) Prec@5 62.891 (63.115)
Epoch: [19][830/5005] Time 0.218 (0.221) Data 0.046 (0.063) Loss 2.9000 (2.8764) Prec@1 38.672 (37.313) Prec@5 62.891 (63.096)
Epoch: [19][840/5005] Time 0.208 (0.221) Data 0.041 (0.063) Loss 2.7436 (2.8764) Prec@1 37.891 (37.320) Prec@5 66.797 (63.110)
Epoch: [19][850/5005] Time 0.410 (0.221) Data 0.326 (0.064) Loss 3.0502 (2.8756) Prec@1 36.328 (37.331) Prec@5 60.938 (63.109)
Epoch: [19][860/5005] Time 0.205 (0.221) Data 0.060 (0.064) Loss 2.7963 (2.8755) Prec@1 36.719 (37.340) Prec@5 63.281 (63.111)
Epoch: [19][870/5005] Time 0.206 (0.221) Data 0.047 (0.064) Loss 2.8759 (2.8740) Prec@1 37.891 (37.374) Prec@5 60.938 (63.134)
Epoch: [19][880/5005] Time 0.206 (0.221) Data 0.047 (0.065) Loss 2.7915 (2.8745) Prec@1 37.109 (37.374) Prec@5 63.672 (63.121)
Epoch: [19][890/5005] Time 0.271 (0.222) Data 0.181 (0.065) Loss 3.2001 (2.8747) Prec@1 35.938 (37.372) Prec@5 58.594 (63.109)
Epoch: [19][900/5005] Time 0.207 (0.221) Data 0.045 (0.065) Loss 2.9465 (2.8747) Prec@1 34.375 (37.361) Prec@5 63.281 (63.115)
Epoch: [19][910/5005] Time 0.205 (0.221) Data 0.049 (0.065) Loss 2.7565 (2.8747) Prec@1 37.891 (37.363) Prec@5 66.406 (63.118)
Epoch: [19][920/5005] Time 0.205 (0.222) Data 0.043 (0.065) Loss 2.9194 (2.8744) Prec@1 37.109 (37.373) Prec@5 61.719 (63.125)
Epoch: [19][930/5005] Time 0.207 (0.222) Data 0.125 (0.066) Loss 2.8450 (2.8742) Prec@1 39.844 (37.381) Prec@5 63.281 (63.133)
Epoch: [19][940/5005] Time 0.196 (0.222) Data 0.053 (0.066) Loss 2.6962 (2.8739) Prec@1 36.719 (37.387) Prec@5 65.625 (63.133)
Epoch: [19][950/5005] Time 0.192 (0.223) Data 0.045 (0.068) Loss 3.0278 (2.8748) Prec@1 35.547 (37.382) Prec@5 59.766 (63.119)
Epoch: [19][960/5005] Time 0.202 (0.223) Data 0.040 (0.068) Loss 3.0456 (2.8753) Prec@1 35.547 (37.380) Prec@5 62.500 (63.107)
Epoch: [19][970/5005] Time 0.541 (0.224) Data 0.458 (0.069) Loss 2.6825 (2.8752) Prec@1 40.234 (37.373) Prec@5 64.453 (63.107)
Epoch: [19][980/5005] Time 0.210 (0.224) Data 0.056 (0.069) Loss 2.9185 (2.8751) Prec@1 36.328 (37.372) Prec@5 63.672 (63.109)
Epoch: [19][990/5005] Time 0.206 (0.224) Data 0.044 (0.069) Loss 3.0260 (2.8754) Prec@1 33.594 (37.361) Prec@5 61.719 (63.102)
Epoch: [19][1000/5005] Time 0.215 (0.224) Data 0.043 (0.069) Loss 2.7979 (2.8749) Prec@1 37.891 (37.368) Prec@5 64.844 (63.106)
Epoch: [19][1010/5005] Time 0.209 (0.223) Data 0.042 (0.069) Loss 2.9659 (2.8746) Prec@1 33.203 (37.371) Prec@5 60.938 (63.107)
Epoch: [19][1020/5005] Time 0.218 (0.223) Data 0.043 (0.068) Loss 2.7283 (2.8749) Prec@1 42.969 (37.371) Prec@5 66.406 (63.102)
Epoch: [19][1030/5005] Time 0.209 (0.223) Data 0.047 (0.068) Loss 2.9171 (2.8749) Prec@1 35.156 (37.370) Prec@5 63.672 (63.096)
Epoch: [19][1040/5005] Time 0.215 (0.223) Data 0.045 (0.068) Loss 2.9608 (2.8751) Prec@1 34.375 (37.368) Prec@5 61.328 (63.099)
Epoch: [19][1050/5005] Time 0.206 (0.223) Data 0.049 (0.068) Loss 2.9859 (2.8755) Prec@1 33.594 (37.361) Prec@5 62.109 (63.092)
Epoch: [19][1060/5005] Time 0.215 (0.223) Data 0.041 (0.068) Loss 2.8607 (2.8759) Prec@1 41.406 (37.358) Prec@5 63.281 (63.084)
Epoch: [19][1070/5005] Time 0.225 (0.223) Data 0.041 (0.067) Loss 2.8512 (2.8759) Prec@1 40.234 (37.362) Prec@5 63.672 (63.087)
Epoch: [19][1080/5005] Time 0.211 (0.223) Data 0.051 (0.067) Loss 3.0027 (2.8763) Prec@1 32.422 (37.358) Prec@5 58.594 (63.076)
Epoch: [19][1090/5005] Time 0.213 (0.222) Data 0.049 (0.067) Loss 2.7039 (2.8762) Prec@1 37.891 (37.359) Prec@5 65.234 (63.077)
Epoch: [19][1100/5005] Time 0.208 (0.222) Data 0.049 (0.067) Loss 2.6296 (2.8754) Prec@1 42.578 (37.371) Prec@5 69.141 (63.092)
Epoch: [19][1110/5005] Time 0.210 (0.222) Data 0.042 (0.067) Loss 2.8992 (2.8754) Prec@1 34.375 (37.364) Prec@5 62.891 (63.098)
Epoch: [19][1120/5005] Time 0.198 (0.222) Data 0.041 (0.066) Loss 2.8121 (2.8745) Prec@1 39.062 (37.373) Prec@5 64.062 (63.116)
Epoch: [19][1130/5005] Time 0.195 (0.222) Data 0.042 (0.066) Loss 2.8666 (2.8753) Prec@1 41.406 (37.363) Prec@5 65.625 (63.104)
Epoch: [19][1140/5005] Time 0.215 (0.222) Data 0.050 (0.066) Loss 2.9093 (2.8749) Prec@1 37.500 (37.371) Prec@5 62.891 (63.111)
Epoch: [19][1150/5005] Time 0.211 (0.222) Data 0.057 (0.066) Loss 2.8334 (2.8744) Prec@1 35.938 (37.382) Prec@5 62.891 (63.115)
Epoch: [19][1160/5005] Time 0.200 (0.222) Data 0.061 (0.066) Loss 2.8678 (2.8743) Prec@1 37.500 (37.376) Prec@5 64.453 (63.113)
Epoch: [19][1170/5005] Time 0.214 (0.222) Data 0.044 (0.066) Loss 2.8245 (2.8743) Prec@1 39.844 (37.380) Prec@5 62.500 (63.108)
Epoch: [19][1180/5005] Time 0.209 (0.221) Data 0.044 (0.065) Loss 2.9237 (2.8742) Prec@1 32.812 (37.372) Prec@5 60.156 (63.116)
Epoch: [19][1190/5005] Time 0.206 (0.221) Data 0.092 (0.065) Loss 2.8090 (2.8739) Prec@1 38.672 (37.374) Prec@5 63.672 (63.125)
Epoch: [19][1200/5005] Time 0.203 (0.221) Data 0.086 (0.065) Loss 2.9425 (2.8737) Prec@1 36.719 (37.373) Prec@5 64.453 (63.130)
Epoch: [19][1210/5005] Time 0.211 (0.221) Data 0.043 (0.065) Loss 2.9710 (2.8743) Prec@1 33.594 (37.370) Prec@5 56.641 (63.120)
Epoch: [19][1220/5005] Time 0.202 (0.221) Data 0.094 (0.065) Loss 2.8337 (2.8746) Prec@1 37.109 (37.367) Prec@5 63.672 (63.118)
Epoch: [19][1230/5005] Time 0.211 (0.221) Data 0.043 (0.065) Loss 2.9546 (2.8746) Prec@1 37.500 (37.366) Prec@5 65.234 (63.117)
Epoch: [19][1240/5005] Time 0.206 (0.222) Data 0.049 (0.065) Loss 2.8648 (2.8747) Prec@1 37.891 (37.359) Prec@5 65.234 (63.113)
Epoch: [19][1250/5005] Time 0.208 (0.221) Data 0.041 (0.065) Loss 3.3141 (2.8754) Prec@1 30.859 (37.343) Prec@5 54.297 (63.097)
Epoch: [19][1260/5005] Time 0.212 (0.221) Data 0.045 (0.065) Loss 2.4591 (2.8745) Prec@1 46.094 (37.353) Prec@5 71.094 (63.124)
Epoch: [19][1270/5005] Time 0.218 (0.221) Data 0.042 (0.065) Loss 2.9146 (2.8751) Prec@1 40.625 (37.349) Prec@5 58.594 (63.105)
Epoch: [19][1280/5005] Time 0.550 (0.222) Data 0.456 (0.066) Loss 2.9369 (2.8753) Prec@1 37.109 (37.345) Prec@5 60.938 (63.104)
Epoch: [19][1290/5005] Time 0.199 (0.222) Data 0.052 (0.066) Loss 2.7535 (2.8747) Prec@1 40.234 (37.355) Prec@5 65.625 (63.117)
Epoch: [19][1300/5005] Time 0.214 (0.222) Data 0.048 (0.066) Loss 2.6909 (2.8747) Prec@1 41.406 (37.356) Prec@5 64.844 (63.111)
Epoch: [19][1310/5005] Time 0.210 (0.222) Data 0.045 (0.066) Loss 2.9505 (2.8747) Prec@1 35.547 (37.349) Prec@5 63.672 (63.115)
Epoch: [19][1320/5005] Time 0.201 (0.222) Data 0.050 (0.066) Loss 3.0238 (2.8746) Prec@1 33.203 (37.357) Prec@5 62.500 (63.119)
Epoch: [19][1330/5005] Time 0.212 (0.222) Data 0.044 (0.066) Loss 2.9318 (2.8750) Prec@1 37.891 (37.353) Prec@5 62.109 (63.117)
Epoch: [19][1340/5005] Time 0.206 (0.222) Data 0.049 (0.066) Loss 2.7487 (2.8747) Prec@1 39.844 (37.361) Prec@5 65.234 (63.130)
Epoch: [19][1350/5005] Time 0.203 (0.222) Data 0.051 (0.066) Loss 3.2488 (2.8752) Prec@1 29.297 (37.355) Prec@5 57.422 (63.116)
Epoch: [19][1360/5005] Time 0.202 (0.222) Data 0.051 (0.066) Loss 2.6728 (2.8748) Prec@1 38.672 (37.352) Prec@5 63.281 (63.114)
Epoch: [19][1370/5005] Time 0.198 (0.222) Data 0.070 (0.067) Loss 2.8800 (2.8743) Prec@1 39.453 (37.361) Prec@5 65.234 (63.126)
Epoch: [19][1380/5005] Time 0.211 (0.222) Data 0.047 (0.066) Loss 2.9233 (2.8743) Prec@1 37.109 (37.360) Prec@5 62.500 (63.128)
Epoch: [19][1390/5005] Time 0.206 (0.222) Data 0.053 (0.066) Loss 2.7126 (2.8740) Prec@1 39.453 (37.368) Prec@5 65.234 (63.139)
Epoch: [19][1400/5005] Time 0.359 (0.222) Data 0.273 (0.067) Loss 2.8866 (2.8732) Prec@1 39.062 (37.386) Prec@5 66.406 (63.161)
Epoch: [19][1410/5005] Time 0.383 (0.222) Data 0.302 (0.067) Loss 2.9425 (2.8727) Prec@1 34.375 (37.393) Prec@5 63.281 (63.179)
Epoch: [19][1420/5005] Time 0.201 (0.222) Data 0.047 (0.067) Loss 3.0420 (2.8727) Prec@1 34.766 (37.384) Prec@5 59.766 (63.177)
Epoch: [19][1430/5005] Time 0.203 (0.222) Data 0.043 (0.067) Loss 2.6001 (2.8722) Prec@1 37.891 (37.395) Prec@5 69.531 (63.185)
Epoch: [19][1440/5005] Time 0.272 (0.222) Data 0.188 (0.067) Loss 2.7048 (2.8722) Prec@1 41.406 (37.393) Prec@5 68.359 (63.180)
Epoch: [19][1450/5005] Time 0.199 (0.222) Data 0.047 (0.067) Loss 2.8125 (2.8723) Prec@1 37.500 (37.398) Prec@5 64.453 (63.184)
Epoch: [19][1460/5005] Time 0.207 (0.222) Data 0.049 (0.067) Loss 2.8134 (2.8722) Prec@1 38.672 (37.400) Prec@5 60.547 (63.183)
Epoch: [19][1470/5005] Time 0.207 (0.222) Data 0.049 (0.067) Loss 3.0419 (2.8723) Prec@1 34.766 (37.401) Prec@5 60.156 (63.176)
Epoch: [19][1480/5005] Time 0.209 (0.222) Data 0.120 (0.067) Loss 2.8152 (2.8726) Prec@1 35.156 (37.397) Prec@5 66.406 (63.174)
Epoch: [19][1490/5005] Time 0.211 (0.222) Data 0.055 (0.067) Loss 3.1072 (2.8723) Prec@1 35.156 (37.402) Prec@5 58.594 (63.179)
Epoch: [19][1500/5005] Time 0.204 (0.222) Data 0.046 (0.067) Loss 2.9905 (2.8725) Prec@1 37.500 (37.404) Prec@5 58.984 (63.177)
Epoch: [19][1510/5005] Time 0.217 (0.222) Data 0.127 (0.067) Loss 2.6556 (2.8720) Prec@1 39.844 (37.414) Prec@5 68.750 (63.190)
Epoch: [19][1520/5005] Time 0.207 (0.222) Data 0.047 (0.068) Loss 2.9148 (2.8718) Prec@1 36.719 (37.416) Prec@5 64.062 (63.193)
Epoch: [19][1530/5005] Time 0.214 (0.222) Data 0.053 (0.068) Loss 3.1567 (2.8722) Prec@1 34.375 (37.409) Prec@5 58.984 (63.187)
Epoch: [19][1540/5005] Time 0.200 (0.222) Data 0.091 (0.068) Loss 2.8432 (2.8726) Prec@1 39.453 (37.402) Prec@5 63.672 (63.181)
Epoch: [19][1550/5005] Time 0.447 (0.222) Data 0.355 (0.068) Loss 2.7577 (2.8723) Prec@1 43.359 (37.408) Prec@5 66.016 (63.182)
Epoch: [19][1560/5005] Time 0.202 (0.222) Data 0.053 (0.068) Loss 2.8194 (2.8725) Prec@1 35.547 (37.401) Prec@5 64.453 (63.182)
Epoch: [19][1570/5005] Time 0.203 (0.222) Data 0.042 (0.068) Loss 2.7539 (2.8724) Prec@1 37.109 (37.403) Prec@5 60.938 (63.183)
Epoch: [19][1580/5005] Time 0.201 (0.222) Data 0.041 (0.068) Loss 2.7224 (2.8727) Prec@1 39.062 (37.404) Prec@5 64.453 (63.177)
Epoch: [19][1590/5005] Time 0.250 (0.222) Data 0.172 (0.068) Loss 2.7734 (2.8726) Prec@1 39.844 (37.401) Prec@5 64.062 (63.178)
Epoch: [19][1600/5005] Time 0.214 (0.222) Data 0.043 (0.068) Loss 2.9335 (2.8727) Prec@1 33.984 (37.400) Prec@5 61.328 (63.175)
Epoch: [19][1610/5005] Time 0.200 (0.222) Data 0.045 (0.069) Loss 3.0005 (2.8727) Prec@1 36.328 (37.397) Prec@5 63.672 (63.181)
Epoch: [19][1620/5005] Time 0.195 (0.223) Data 0.045 (0.069) Loss 3.1354 (2.8727) Prec@1 33.984 (37.395) Prec@5 60.547 (63.183)
Epoch: [19][1630/5005] Time 0.404 (0.223) Data 0.317 (0.069) Loss 2.7327 (2.8727) Prec@1 41.016 (37.397) Prec@5 67.969 (63.186)
Epoch: [19][1640/5005] Time 0.200 (0.222) Data 0.047 (0.069) Loss 2.9405 (2.8731) Prec@1 36.719 (37.392) Prec@5 64.453 (63.180)
Epoch: [19][1650/5005] Time 0.496 (0.223) Data 0.405 (0.070) Loss 2.9005 (2.8732) Prec@1 38.672 (37.395) Prec@5 63.281 (63.180)
Epoch: [19][1660/5005] Time 0.202 (0.223) Data 0.043 (0.070) Loss 2.8286 (2.8727) Prec@1 39.453 (37.404) Prec@5 64.062 (63.189)
Epoch: [19][1670/5005] Time 0.235 (0.223) Data 0.153 (0.070) Loss 2.7200 (2.8728) Prec@1 39.453 (37.396) Prec@5 62.500 (63.184)
Epoch: [19][1680/5005] Time 0.805 (0.223) Data 0.713 (0.070) Loss 3.0656 (2.8728) Prec@1 39.062 (37.401) Prec@5 60.156 (63.185)
Epoch: [19][1690/5005] Time 0.207 (0.223) Data 0.050 (0.070) Loss 2.7162 (2.8726) Prec@1 38.281 (37.397) Prec@5 67.578 (63.192)
Epoch: [19][1700/5005] Time 0.198 (0.223) Data 0.095 (0.070) Loss 2.7648 (2.8723) Prec@1 36.328 (37.397) Prec@5 66.797 (63.197)
Epoch: [19][1710/5005] Time 0.195 (0.223) Data 0.044 (0.070) Loss 2.6953 (2.8719) Prec@1 37.500 (37.396) Prec@5 67.578 (63.208)
Epoch: [19][1720/5005] Time 0.208 (0.223) Data 0.047 (0.070) Loss 3.0730 (2.8720) Prec@1 35.938 (37.393) Prec@5 61.719 (63.208)
Epoch: [19][1730/5005] Time 0.214 (0.223) Data 0.044 (0.070) Loss 2.7732 (2.8718) Prec@1 36.719 (37.390) Prec@5 64.453 (63.211)
Epoch: [19][1740/5005] Time 0.206 (0.223) Data 0.047 (0.070) Loss 2.9701 (2.8714) Prec@1 36.719 (37.389) Prec@5 59.766 (63.222)
Epoch: [19][1750/5005] Time 0.192 (0.223) Data 0.056 (0.070) Loss 2.7842 (2.8710) Prec@1 35.156 (37.394) Prec@5 63.672 (63.226)
Epoch: [19][1760/5005] Time 0.194 (0.223) Data 0.048 (0.070) Loss 2.7387 (2.8710) Prec@1 40.234 (37.394) Prec@5 65.625 (63.227)
Epoch: [19][1770/5005] Time 0.195 (0.223) Data 0.046 (0.070) Loss 2.9200 (2.8709) Prec@1 35.547 (37.393) Prec@5 60.547 (63.228)
Epoch: [19][1780/5005] Time 0.209 (0.223) Data 0.051 (0.070) Loss 2.8444 (2.8709) Prec@1 33.984 (37.397) Prec@5 64.062 (63.225)
Epoch: [19][1790/5005] Time 0.205 (0.223) Data 0.045 (0.070) Loss 2.6324 (2.8703) Prec@1 40.625 (37.403) Prec@5 62.109 (63.237)
Epoch: [19][1800/5005] Time 0.204 (0.223) Data 0.046 (0.070) Loss 2.8847 (2.8700) Prec@1 37.891 (37.409) Prec@5 60.547 (63.241)
Epoch: [19][1810/5005] Time 0.197 (0.223) Data 0.048 (0.070) Loss 2.6301 (2.8698) Prec@1 41.016 (37.405) Prec@5 66.016 (63.242)
Epoch: [19][1820/5005] Time 0.337 (0.223) Data 0.253 (0.070) Loss 2.8936 (2.8697) Prec@1 35.547 (37.405) Prec@5 63.281 (63.245)
Epoch: [19][1830/5005] Time 0.198 (0.223) Data 0.051 (0.070) Loss 2.6551 (2.8693) Prec@1 42.578 (37.407) Prec@5 62.891 (63.245)
Epoch: [19][1840/5005] Time 0.203 (0.223) Data 0.047 (0.070) Loss 3.1409 (2.8693) Prec@1 32.422 (37.406) Prec@5 60.156 (63.247)
Epoch: [19][1850/5005] Time 0.317 (0.223) Data 0.228 (0.070) Loss 2.8772 (2.8690) Prec@1 39.453 (37.413) Prec@5 62.500 (63.248)
Epoch: [19][1860/5005] Time 0.208 (0.223) Data 0.048 (0.070) Loss 2.8347 (2.8691) Prec@1 35.547 (37.406) Prec@5 64.062 (63.246)
Epoch: [19][1870/5005] Time 0.201 (0.223) Data 0.059 (0.071) Loss 3.1070 (2.8693) Prec@1 33.594 (37.405) Prec@5 58.594 (63.238)
Epoch: [19][1880/5005] Time 0.206 (0.223) Data 0.047 (0.071) Loss 2.9260 (2.8696) Prec@1 35.938 (37.399) Prec@5 64.062 (63.232)
Epoch: [19][1890/5005] Time 0.203 (0.223) Data 0.045 (0.071) Loss 3.0379 (2.8696) Prec@1 33.203 (37.396) Prec@5 61.719 (63.234)
Epoch: [19][1900/5005] Time 0.201 (0.223) Data 0.091 (0.071) Loss 2.8561 (2.8701) Prec@1 35.938 (37.383) Prec@5 64.062 (63.226)
Epoch: [19][1910/5005] Time 0.207 (0.223) Data 0.052 (0.071) Loss 2.8898 (2.8704) Prec@1 38.281 (37.376) Prec@5 64.062 (63.219)
Epoch: [19][1920/5005] Time 0.198 (0.223) Data 0.045 (0.071) Loss 2.8878 (2.8703) Prec@1 34.375 (37.373) Prec@5 63.281 (63.224)
Epoch: [19][1930/5005] Time 0.196 (0.223) Data 0.042 (0.071) Loss 2.7430 (2.8702) Prec@1 41.406 (37.377) Prec@5 62.891 (63.228)
Epoch: [19][1940/5005] Time 0.196 (0.223) Data 0.050 (0.071) Loss 2.6131 (2.8698) Prec@1 40.234 (37.377) Prec@5 66.016 (63.235)
Epoch: [19][1950/5005] Time 0.203 (0.223) Data 0.054 (0.071) Loss 2.9312 (2.8697) Prec@1 35.156 (37.375) Prec@5 60.938 (63.238)
Epoch: [19][1960/5005] Time 0.199 (0.223) Data 0.094 (0.071) Loss 2.7971 (2.8695) Prec@1 36.719 (37.383) Prec@5 63.281 (63.246)
Epoch: [19][1970/5005] Time 0.209 (0.223) Data 0.053 (0.071) Loss 2.8316 (2.8697) Prec@1 38.672 (37.370) Prec@5 63.281 (63.237)
Epoch: [19][1980/5005] Time 0.204 (0.223) Data 0.050 (0.071) Loss 2.6253 (2.8694) Prec@1 43.750 (37.375) Prec@5 67.969 (63.240)
Epoch: [19][1990/5005] Time 0.212 (0.223) Data 0.043 (0.071) Loss 2.6414 (2.8691) Prec@1 40.625 (37.381) Prec@5 64.844 (63.242)
Epoch: [19][2000/5005] Time 0.204 (0.223) Data 0.088 (0.072) Loss 2.5845 (2.8692) Prec@1 40.234 (37.377) Prec@5 68.750 (63.239)
Epoch: [19][2010/5005] Time 0.506 (0.223) Data 0.420 (0.072) Loss 2.8624 (2.8696) Prec@1 35.938 (37.371) Prec@5 65.234 (63.233)
Epoch: [19][2020/5005] Time 0.207 (0.223) Data 0.043 (0.072) Loss 2.7213 (2.8697) Prec@1 39.062 (37.374) Prec@5 66.016 (63.233)
Epoch: [19][2030/5005] Time 0.208 (0.223) Data 0.047 (0.072) Loss 2.7131 (2.8697) Prec@1 40.234 (37.378) Prec@5 66.797 (63.230)
Epoch: [19][2040/5005] Time 0.212 (0.223) Data 0.053 (0.072) Loss 2.4899 (2.8694) Prec@1 42.578 (37.386) Prec@5 71.094 (63.238)
Epoch: [19][2050/5005] Time 0.192 (0.223) Data 0.062 (0.072) Loss 2.9020 (2.8693) Prec@1 38.672 (37.386) Prec@5 62.891 (63.240)
Epoch: [19][2060/5005] Time 0.198 (0.223) Data 0.058 (0.072) Loss 2.8580 (2.8691) Prec@1 35.938 (37.386) Prec@5 61.328 (63.241)
Epoch: [19][2070/5005] Time 0.201 (0.223) Data 0.048 (0.072) Loss 3.1190 (2.8695) Prec@1 34.375 (37.376) Prec@5 59.375 (63.233)
Epoch: [19][2080/5005] Time 0.195 (0.223) Data 0.052 (0.072) Loss 2.9457 (2.8694) Prec@1 31.641 (37.379) Prec@5 63.672 (63.239)
Epoch: [19][2090/5005] Time 0.208 (0.223) Data 0.046 (0.072) Loss 2.7489 (2.8690) Prec@1 38.672 (37.380) Prec@5 66.016 (63.245)
Epoch: [19][2100/5005] Time 0.283 (0.223) Data 0.201 (0.072) Loss 2.9145 (2.8689) Prec@1 35.547 (37.384) Prec@5 60.938 (63.246)
Epoch: [19][2110/5005] Time 0.203 (0.223) Data 0.050 (0.072) Loss 2.8482 (2.8690) Prec@1 36.719 (37.386) Prec@5 64.062 (63.244)
Epoch: [19][2120/5005] Time 0.352 (0.223) Data 0.268 (0.072) Loss 2.8831 (2.8690) Prec@1 38.281 (37.389) Prec@5 63.281 (63.243)
Epoch: [19][2130/5005] Time 0.197 (0.223) Data 0.048 (0.072) Loss 2.8987 (2.8687) Prec@1 34.766 (37.390) Prec@5 61.719 (63.249)
Epoch: [19][2140/5005] Time 0.214 (0.223) Data 0.045 (0.072) Loss 2.7530 (2.8687) Prec@1 36.328 (37.392) Prec@5 65.234 (63.245)
Epoch: [19][2150/5005] Time 0.207 (0.223) Data 0.046 (0.072) Loss 2.6274 (2.8687) Prec@1 39.062 (37.385) Prec@5 66.797 (63.247)
Epoch: [19][2160/5005] Time 0.207 (0.223) Data 0.054 (0.073) Loss 2.8412 (2.8688) Prec@1 38.281 (37.383) Prec@5 61.328 (63.250)
Epoch: [19][2170/5005] Time 0.200 (0.223) Data 0.049 (0.073) Loss 2.7095 (2.8684) Prec@1 37.891 (37.388) Prec@5 68.359 (63.259)
Epoch: [19][2180/5005] Time 0.198 (0.223) Data 0.043 (0.073) Loss 2.9229 (2.8684) Prec@1 42.188 (37.386) Prec@5 63.281 (63.260)
Epoch: [19][2190/5005] Time 0.207 (0.223) Data 0.044 (0.073) Loss 3.0618 (2.8684) Prec@1 36.328 (37.383) Prec@5 58.594 (63.259)
Epoch: [19][2200/5005] Time 0.197 (0.223) Data 0.064 (0.073) Loss 2.9789 (2.8686) Prec@1 38.281 (37.383) Prec@5 60.938 (63.256)
Epoch: [19][2210/5005] Time 0.212 (0.223) Data 0.047 (0.073) Loss 2.9731 (2.8690) Prec@1 38.672 (37.384) Prec@5 57.812 (63.249)
Epoch: [19][2220/5005] Time 0.209 (0.223) Data 0.085 (0.073) Loss 3.0818 (2.8690) Prec@1 34.766 (37.380) Prec@5 59.766 (63.249)
Epoch: [19][2230/5005] Time 0.207 (0.223) Data 0.079 (0.073) Loss 2.8572 (2.8690) Prec@1 37.500 (37.380) Prec@5 61.719 (63.250)
Epoch: [19][2240/5005] Time 0.195 (0.223) Data 0.047 (0.073) Loss 2.8978 (2.8691) Prec@1 37.891 (37.379) Prec@5 65.234 (63.247)
Epoch: [19][2250/5005] Time 0.208 (0.223) Data 0.061 (0.073) Loss 2.6769 (2.8691) Prec@1 40.234 (37.382) Prec@5 66.016 (63.248)
Epoch: [19][2260/5005] Time 0.201 (0.223) Data 0.046 (0.073) Loss 2.7575 (2.8688) Prec@1 39.062 (37.385) Prec@5 65.234 (63.252)
Epoch: [19][2270/5005] Time 0.199 (0.223) Data 0.046 (0.073) Loss 3.0895 (2.8686) Prec@1 33.984 (37.389) Prec@5 58.594 (63.256)
Epoch: [19][2280/5005] Time 0.211 (0.223) Data 0.044 (0.073) Loss 2.8334 (2.8686) Prec@1 39.844 (37.394) Prec@5 65.234 (63.260)
Epoch: [19][2290/5005] Time 0.208 (0.223) Data 0.041 (0.073) Loss 2.7759 (2.8686) Prec@1 36.719 (37.395) Prec@5 64.453 (63.258)
Epoch: [19][2300/5005] Time 0.209 (0.223) Data 0.041 (0.073) Loss 2.8119 (2.8685) Prec@1 38.281 (37.396) Prec@5 62.500 (63.260)
Epoch: [19][2310/5005] Time 0.428 (0.223) Data 0.340 (0.073) Loss 2.6280 (2.8684) Prec@1 41.406 (37.401) Prec@5 64.453 (63.262)
Epoch: [19][2320/5005] Time 0.204 (0.223) Data 0.040 (0.073) Loss 2.9373 (2.8683) Prec@1 38.672 (37.404) Prec@5 62.109 (63.265)
Epoch: [19][2330/5005] Time 0.206 (0.223) Data 0.046 (0.073) Loss 2.6489 (2.8683) Prec@1 40.234 (37.407) Prec@5 65.625 (63.266)
Epoch: [19][2340/5005] Time 0.200 (0.223) Data 0.048 (0.073) Loss 2.7896 (2.8678) Prec@1 38.672 (37.418) Prec@5 63.672 (63.274)
Epoch: [19][2350/5005] Time 0.201 (0.223) Data 0.098 (0.073) Loss 2.8359 (2.8678) Prec@1 36.328 (37.417) Prec@5 64.062 (63.274)
Epoch: [19][2360/5005] Time 0.201 (0.223) Data 0.040 (0.073) Loss 2.6857 (2.8677) Prec@1 39.844 (37.422) Prec@5 62.891 (63.276)
Epoch: [19][2370/5005] Time 0.568 (0.223) Data 0.485 (0.074) Loss 2.8094 (2.8676) Prec@1 37.891 (37.423) Prec@5 60.547 (63.276)
Epoch: [19][2380/5005] Time 0.199 (0.223) Data 0.094 (0.074) Loss 2.8228 (2.8674) Prec@1 42.188 (37.430) Prec@5 62.109 (63.279)
Epoch: [19][2390/5005] Time 0.211 (0.223) Data 0.046 (0.074) Loss 2.7431 (2.8673) Prec@1 41.406 (37.436) Prec@5 64.062 (63.280)
Epoch: [19][2400/5005] Time 0.198 (0.223) Data 0.047 (0.074) Loss 2.8888 (2.8675) Prec@1 33.203 (37.431) Prec@5 63.672 (63.279)
Epoch: [19][2410/5005] Time 0.273 (0.223) Data 0.186 (0.074) Loss 3.0017 (2.8676) Prec@1 36.328 (37.430) Prec@5 61.719 (63.277)
Epoch: [19][2420/5005] Time 0.189 (0.223) Data 0.062 (0.074) Loss 2.9399 (2.8676) Prec@1 39.062 (37.429) Prec@5 58.984 (63.279)
Epoch: [19][2430/5005] Time 0.208 (0.223) Data 0.047 (0.074) Loss 2.7083 (2.8677) Prec@1 39.844 (37.425) Prec@5 63.281 (63.276)
Epoch: [19][2440/5005] Time 0.208 (0.223) Data 0.048 (0.074) Loss 2.6209 (2.8675) Prec@1 43.359 (37.434) Prec@5 67.969 (63.277)
Epoch: [19][2450/5005] Time 0.204 (0.223) Data 0.050 (0.074) Loss 2.9287 (2.8675) Prec@1 37.891 (37.436) Prec@5 60.547 (63.277)
Epoch: [19][2460/5005] Time 0.204 (0.223) Data 0.048 (0.074) Loss 2.8420 (2.8674) Prec@1 35.547 (37.439) Prec@5 61.328 (63.277)
Epoch: [19][2470/5005] Time 0.190 (0.223) Data 0.063 (0.074) Loss 2.7548 (2.8674) Prec@1 40.625 (37.443) Prec@5 63.281 (63.278)
Epoch: [19][2480/5005] Time 0.273 (0.223) Data 0.189 (0.074) Loss 2.9588 (2.8676) Prec@1 35.547 (37.441) Prec@5 63.672 (63.273)
Epoch: [19][2490/5005] Time 0.207 (0.223) Data 0.044 (0.074) Loss 2.7447 (2.8676) Prec@1 40.234 (37.439) Prec@5 65.234 (63.271)
Epoch: [19][2500/5005] Time 0.195 (0.223) Data 0.064 (0.074) Loss 2.8567 (2.8675) Prec@1 39.062 (37.440) Prec@5 62.109 (63.268)
Epoch: [19][2510/5005] Time 0.205 (0.223) Data 0.050 (0.074) Loss 2.9365 (2.8677) Prec@1 35.156 (37.437) Prec@5 61.328 (63.263)
Epoch: [19][2520/5005] Time 0.202 (0.224) Data 0.041 (0.074) Loss 2.8362 (2.8677) Prec@1 37.891 (37.435) Prec@5 65.625 (63.261)
Epoch: [19][2530/5005] Time 0.207 (0.224) Data 0.042 (0.074) Loss 3.1505 (2.8677) Prec@1 33.203 (37.435) Prec@5 56.641 (63.260)
Epoch: [19][2540/5005] Time 0.207 (0.223) Data 0.043 (0.074) Loss 2.8956 (2.8677) Prec@1 36.719 (37.439) Prec@5 64.062 (63.261)
Epoch: [19][2550/5005] Time 0.208 (0.223) Data 0.042 (0.074) Loss 2.9242 (2.8677) Prec@1 34.766 (37.440) Prec@5 65.234 (63.264)
Epoch: [19][2560/5005] Time 0.209 (0.223) Data 0.042 (0.074) Loss 2.9995 (2.8679) Prec@1 35.156 (37.440) Prec@5 62.500 (63.262)
Epoch: [19][2570/5005] Time 0.218 (0.223) Data 0.044 (0.074) Loss 2.8361 (2.8681) Prec@1 37.109 (37.440) Prec@5 62.891 (63.263)
Epoch: [19][2580/5005] Time 0.209 (0.223) Data 0.045 (0.074) Loss 3.0686 (2.8684) Prec@1 36.328 (37.435) Prec@5 58.203 (63.258)
Epoch: [19][2590/5005] Time 0.248 (0.223) Data 0.163 (0.074) Loss 3.0563 (2.8682) Prec@1 36.328 (37.442) Prec@5 59.766 (63.262)
Epoch: [19][2600/5005] Time 0.199 (0.223) Data 0.061 (0.074) Loss 2.8867 (2.8684) Prec@1 35.938 (37.438) Prec@5 65.625 (63.256)
Epoch: [19][2610/5005] Time 0.640 (0.223) Data 0.558 (0.074) Loss 3.1746 (2.8685) Prec@1 30.859 (37.436) Prec@5 57.031 (63.258)
Epoch: [19][2620/5005] Time 0.193 (0.223) Data 0.050 (0.074) Loss 2.8007 (2.8685) Prec@1 40.234 (37.435) Prec@5 64.453 (63.258)
Epoch: [19][2630/5005] Time 0.203 (0.223) Data 0.045 (0.074) Loss 2.9021 (2.8687) Prec@1 39.453 (37.432) Prec@5 61.328 (63.252)
Epoch: [19][2640/5005] Time 0.486 (0.223) Data 0.403 (0.074) Loss 3.0375 (2.8688) Prec@1 32.812 (37.430) Prec@5 58.984 (63.254)
Epoch: [19][2650/5005] Time 0.190 (0.223) Data 0.048 (0.074) Loss 3.0214 (2.8689) Prec@1 37.500 (37.428) Prec@5 58.203 (63.253)
Epoch: [19][2660/5005] Time 0.208 (0.223) Data 0.041 (0.074) Loss 2.9171 (2.8690) Prec@1 34.375 (37.426) Prec@5 64.062 (63.250)
Epoch: [19][2670/5005] Time 0.202 (0.223) Data 0.042 (0.074) Loss 2.6243 (2.8687) Prec@1 42.969 (37.432) Prec@5 64.453 (63.252)
Epoch: [19][2680/5005] Time 0.209 (0.223) Data 0.045 (0.074) Loss 2.6600 (2.8686) Prec@1 42.578 (37.429) Prec@5 69.531 (63.256)
Epoch: [19][2690/5005] Time 0.203 (0.224) Data 0.048 (0.074) Loss 2.8230 (2.8685) Prec@1 37.891 (37.429) Prec@5 62.500 (63.257)
Epoch: [19][2700/5005] Time 0.216 (0.223) Data 0.044 (0.074) Loss 2.9096 (2.8687) Prec@1 32.812 (37.420) Prec@5 62.109 (63.251)
Epoch: [19][2710/5005] Time 0.205 (0.223) Data 0.045 (0.074) Loss 2.7046 (2.8689) Prec@1 41.406 (37.413) Prec@5 66.797 (63.247)
Epoch: [19][2720/5005] Time 0.193 (0.223) Data 0.046 (0.074) Loss 2.9196 (2.8688) Prec@1 37.109 (37.416) Prec@5 64.453 (63.251)
Epoch: [19][2730/5005] Time 0.209 (0.223) Data 0.071 (0.074) Loss 2.8834 (2.8686) Prec@1 36.328 (37.415) Prec@5 66.016 (63.255)
Epoch: [19][2740/5005] Time 0.207 (0.223) Data 0.088 (0.074) Loss 2.7892 (2.8685) Prec@1 40.234 (37.419) Prec@5 66.406 (63.257)
Epoch: [19][2750/5005] Time 0.827 (0.224) Data 0.741 (0.074) Loss 2.8562 (2.8684) Prec@1 37.109 (37.422) Prec@5 60.938 (63.260)
Epoch: [19][2760/5005] Time 0.209 (0.223) Data 0.046 (0.074) Loss 2.8616 (2.8683) Prec@1 38.281 (37.422) Prec@5 62.500 (63.264)
Epoch: [19][2770/5005] Time 0.203 (0.224) Data 0.047 (0.074) Loss 2.7822 (2.8684) Prec@1 39.062 (37.420) Prec@5 66.797 (63.264)
Epoch: [19][2780/5005] Time 0.211 (0.223) Data 0.042 (0.074) Loss 3.1632 (2.8684) Prec@1 34.766 (37.423) Prec@5 58.594 (63.265)
Epoch: [19][2790/5005] Time 0.211 (0.223) Data 0.126 (0.074) Loss 3.2427 (2.8685) Prec@1 26.953 (37.425) Prec@5 55.859 (63.263)
Epoch: [19][2800/5005] Time 0.196 (0.224) Data 0.068 (0.075) Loss 2.7776 (2.8686) Prec@1 39.844 (37.430) Prec@5 65.625 (63.263)
Epoch: [19][2810/5005] Time 0.209 (0.224) Data 0.046 (0.075) Loss 2.9878 (2.8685) Prec@1 33.203 (37.428) Prec@5 59.375 (63.265)
Epoch: [19][2820/5005] Time 0.199 (0.223) Data 0.042 (0.074) Loss 2.6217 (2.8684) Prec@1 41.406 (37.427) Prec@5 68.359 (63.266)
Epoch: [19][2830/5005] Time 0.456 (0.223) Data 0.366 (0.075) Loss 3.1920 (2.8685) Prec@1 30.469 (37.424) Prec@5 62.109 (63.265)
Epoch: [19][2840/5005] Time 0.337 (0.223) Data 0.247 (0.075) Loss 2.9174 (2.8684) Prec@1 39.844 (37.425) Prec@5 62.500 (63.263)
Epoch: [19][2850/5005] Time 0.195 (0.223) Data 0.062 (0.075) Loss 2.7547 (2.8682) Prec@1 40.234 (37.427) Prec@5 62.109 (63.263)
Epoch: [19][2860/5005] Time 0.188 (0.223) Data 0.097 (0.075) Loss 2.8693 (2.8682) Prec@1 38.281 (37.425) Prec@5 64.453 (63.265)
Epoch: [19][2870/5005] Time 0.198 (0.224) Data 0.044 (0.075) Loss 2.7835 (2.8680) Prec@1 37.891 (37.433) Prec@5 65.625 (63.269)
Epoch: [19][2880/5005] Time 0.212 (0.223) Data 0.050 (0.075) Loss 2.8226 (2.8680) Prec@1 36.719 (37.428) Prec@5 64.844 (63.270)
Epoch: [19][2890/5005] Time 0.197 (0.223) Data 0.050 (0.075) Loss 2.9297 (2.8680) Prec@1 33.984 (37.431) Prec@5 60.156 (63.270)
Epoch: [19][2900/5005] Time 0.203 (0.223) Data 0.051 (0.075) Loss 2.5362 (2.8678) Prec@1 40.234 (37.434) Prec@5 69.922 (63.278)
Epoch: [19][2910/5005] Time 0.202 (0.223) Data 0.040 (0.075) Loss 2.8503 (2.8680) Prec@1 34.766 (37.431) Prec@5 67.188 (63.275)
Epoch: [19][2920/5005] Time 0.237 (0.223) Data 0.155 (0.075) Loss 2.9872 (2.8681) Prec@1 32.422 (37.428) Prec@5 62.109 (63.276)
Epoch: [19][2930/5005] Time 0.201 (0.224) Data 0.040 (0.075) Loss 3.0605 (2.8680) Prec@1 30.469 (37.428) Prec@5 58.594 (63.277)
Epoch: [19][2940/5005] Time 0.199 (0.224) Data 0.055 (0.075) Loss 2.8571 (2.8680) Prec@1 37.891 (37.428) Prec@5 62.500 (63.280)
Epoch: [19][2950/5005] Time 0.203 (0.224) Data 0.044 (0.075) Loss 3.1008 (2.8679) Prec@1 31.641 (37.427) Prec@5 58.984 (63.284)
Epoch: [19][2960/5005] Time 0.203 (0.224) Data 0.044 (0.075) Loss 2.8591 (2.8677) Prec@1 38.672 (37.433) Prec@5 62.891 (63.286)
Epoch: [19][2970/5005] Time 0.198 (0.224) Data 0.054 (0.075) Loss 3.0772 (2.8675) Prec@1 30.859 (37.434) Prec@5 63.281 (63.289)
Epoch: [19][2980/5005] Time 0.203 (0.224) Data 0.047 (0.075) Loss 3.0494 (2.8678) Prec@1 33.594 (37.427) Prec@5 62.109 (63.286)
Epoch: [19][2990/5005] Time 0.200 (0.223) Data 0.040 (0.075) Loss 2.8949 (2.8678) Prec@1 36.328 (37.428) Prec@5 64.453 (63.285)
Epoch: [19][3000/5005] Time 0.203 (0.224) Data 0.046 (0.075) Loss 2.8092 (2.8676) Prec@1 35.156 (37.427) Prec@5 64.062 (63.287)
Epoch: [19][3010/5005] Time 0.416 (0.224) Data 0.339 (0.075) Loss 2.7731 (2.8677) Prec@1 39.844 (37.424) Prec@5 65.234 (63.284)
Epoch: [19][3020/5005] Time 0.203 (0.223) Data 0.043 (0.075) Loss 2.8293 (2.8679) Prec@1 36.719 (37.422) Prec@5 61.719 (63.281)
Epoch: [19][3030/5005] Time 0.208 (0.224) Data 0.101 (0.075) Loss 2.8408 (2.8680) Prec@1 38.672 (37.419) Prec@5 64.453 (63.283)
Epoch: [19][3040/5005] Time 0.204 (0.224) Data 0.103 (0.075) Loss 2.6874 (2.8679) Prec@1 41.016 (37.424) Prec@5 67.578 (63.285)
Epoch: [19][3050/5005] Time 0.199 (0.223) Data 0.086 (0.075) Loss 2.7703 (2.8679) Prec@1 37.109 (37.418) Prec@5 65.625 (63.285)
Epoch: [19][3060/5005] Time 0.190 (0.223) Data 0.053 (0.075) Loss 2.7675 (2.8679) Prec@1 40.625 (37.419) Prec@5 67.188 (63.282)
Epoch: [19][3070/5005] Time 0.308 (0.223) Data 0.222 (0.075) Loss 2.9144 (2.8682) Prec@1 36.328 (37.414) Prec@5 62.500 (63.280)
Epoch: [19][3080/5005] Time 0.198 (0.223) Data 0.046 (0.075) Loss 2.8622 (2.8684) Prec@1 33.594 (37.406) Prec@5 66.406 (63.276)
Epoch: [19][3090/5005] Time 0.205 (0.223) Data 0.048 (0.075) Loss 3.2970 (2.8686) Prec@1 28.516 (37.399) Prec@5 55.859 (63.271)
Epoch: [19][3100/5005] Time 0.216 (0.223) Data 0.132 (0.076) Loss 2.8910 (2.8686) Prec@1 39.062 (37.397) Prec@5 62.109 (63.267)
Epoch: [19][3110/5005] Time 0.207 (0.223) Data 0.119 (0.076) Loss 2.6712 (2.8684) Prec@1 38.281 (37.399) Prec@5 66.406 (63.269)
Epoch: [19][3120/5005] Time 0.203 (0.224) Data 0.041 (0.076) Loss 2.8859 (2.8685) Prec@1 36.328 (37.398) Prec@5 66.016 (63.266)
Epoch: [19][3130/5005] Time 0.195 (0.224) Data 0.047 (0.076) Loss 3.0476 (2.8685) Prec@1 31.250 (37.400) Prec@5 58.984 (63.267)
Epoch: [19][3140/5005] Time 0.434 (0.224) Data 0.358 (0.076) Loss 2.7208 (2.8683) Prec@1 38.672 (37.403) Prec@5 66.016 (63.269)
Epoch: [19][3150/5005] Time 0.186 (0.224) Data 0.069 (0.076) Loss 2.7956 (2.8682) Prec@1 42.969 (37.406) Prec@5 64.062 (63.269)
Epoch: [19][3160/5005] Time 0.196 (0.223) Data 0.046 (0.076) Loss 2.7907 (2.8682) Prec@1 39.453 (37.411) Prec@5 67.188 (63.271)
Epoch: [19][3170/5005] Time 0.271 (0.223) Data 0.187 (0.076) Loss 2.7356 (2.8681) Prec@1 35.938 (37.412) Prec@5 66.797 (63.272)
Epoch: [19][3180/5005] Time 0.203 (0.223) Data 0.045 (0.076) Loss 2.7000 (2.8682) Prec@1 43.750 (37.417) Prec@5 66.016 (63.273)
Epoch: [19][3190/5005] Time 0.202 (0.223) Data 0.045 (0.076) Loss 2.7920 (2.8683) Prec@1 37.109 (37.414) Prec@5 64.062 (63.271)
Epoch: [19][3200/5005] Time 0.406 (0.223) Data 0.316 (0.076) Loss 2.9975 (2.8682) Prec@1 35.938 (37.418) Prec@5 62.109 (63.273)
Epoch: [19][3210/5005] Time 0.203 (0.223) Data 0.046 (0.076) Loss 3.0910 (2.8683) Prec@1 35.156 (37.419) Prec@5 57.031 (63.272)
Epoch: [19][3220/5005] Time 0.200 (0.223) Data 0.040 (0.076) Loss 2.9481 (2.8684) Prec@1 37.891 (37.420) Prec@5 60.938 (63.270)
Epoch: [19][3230/5005] Time 0.568 (0.224) Data 0.493 (0.076) Loss 2.7696 (2.8682) Prec@1 38.281 (37.425) Prec@5 64.453 (63.274)
Epoch: [19][3240/5005] Time 0.214 (0.224) Data 0.049 (0.076) Loss 3.2206 (2.8686) Prec@1 28.906 (37.420) Prec@5 56.641 (63.267)
Epoch: [19][3250/5005] Time 0.203 (0.224) Data 0.042 (0.076) Loss 2.8337 (2.8687) Prec@1 35.938 (37.421) Prec@5 63.281 (63.269)
Epoch: [19][3260/5005] Time 0.201 (0.223) Data 0.044 (0.076) Loss 2.6547 (2.8687) Prec@1 41.797 (37.423) Prec@5 67.188 (63.268)
Epoch: [19][3270/5005] Time 0.243 (0.223) Data 0.160 (0.076) Loss 2.9731 (2.8686) Prec@1 35.938 (37.421) Prec@5 61.719 (63.270)
Epoch: [19][3280/5005] Time 0.473 (0.224) Data 0.390 (0.076) Loss 2.7104 (2.8687) Prec@1 38.281 (37.418) Prec@5 66.797 (63.267)
Epoch: [19][3290/5005] Time 0.201 (0.224) Data 0.058 (0.076) Loss 2.7721 (2.8687) Prec@1 39.453 (37.417) Prec@5 67.188 (63.268)
Epoch: [19][3300/5005] Time 0.193 (0.224) Data 0.090 (0.076) Loss 2.7959 (2.8687) Prec@1 38.672 (37.418) Prec@5 63.281 (63.264)
Epoch: [19][3310/5005] Time 0.193 (0.223) Data 0.063 (0.076) Loss 2.7164 (2.8687) Prec@1 42.969 (37.419) Prec@5 65.234 (63.262)
Epoch: [19][3320/5005] Time 0.204 (0.223) Data 0.048 (0.076) Loss 2.9101 (2.8687) Prec@1 35.938 (37.420) Prec@5 60.156 (63.262)
Epoch: [19][3330/5005] Time 0.198 (0.224) Data 0.047 (0.076) Loss 2.9710 (2.8687) Prec@1 35.547 (37.420) Prec@5 57.422 (63.259)
Epoch: [19][3340/5005] Time 0.203 (0.224) Data 0.044 (0.076) Loss 2.8903 (2.8688) Prec@1 37.500 (37.420) Prec@5 63.281 (63.259)
Epoch: [19][3350/5005] Time 0.462 (0.224) Data 0.381 (0.077) Loss 2.9423 (2.8688) Prec@1 37.109 (37.422) Prec@5 64.062 (63.259)
Epoch: [19][3360/5005] Time 0.203 (0.224) Data 0.044 (0.077) Loss 2.7688 (2.8689) Prec@1 41.797 (37.419) Prec@5 63.281 (63.257)
Epoch: [19][3370/5005] Time 0.192 (0.224) Data 0.046 (0.076) Loss 2.7861 (2.8689) Prec@1 37.500 (37.420) Prec@5 65.234 (63.255)
Epoch: [19][3380/5005] Time 0.211 (0.224) Data 0.055 (0.076) Loss 2.7173 (2.8688) Prec@1 40.625 (37.419) Prec@5 66.797 (63.255)
Epoch: [19][3390/5005] Time 0.197 (0.224) Data 0.111 (0.076) Loss 2.7867 (2.8691) Prec@1 38.281 (37.414) Prec@5 63.672 (63.248)
Epoch: [19][3400/5005] Time 0.201 (0.224) Data 0.051 (0.077) Loss 2.7874 (2.8692) Prec@1 41.797 (37.414) Prec@5 64.453 (63.246)
Epoch: [19][3410/5005] Time 0.203 (0.224) Data 0.046 (0.077) Loss 2.8942 (2.8693) Prec@1 35.938 (37.413) Prec@5 63.672 (63.245)
Epoch: [19][3420/5005] Time 0.207 (0.224) Data 0.041 (0.077) Loss 2.9252 (2.8694) Prec@1 35.938 (37.410) Prec@5 60.547 (63.241)
Epoch: [19][3430/5005] Time 0.330 (0.224) Data 0.249 (0.077) Loss 2.8199 (2.8694) Prec@1 37.500 (37.409) Prec@5 64.062 (63.241)
Epoch: [19][3440/5005] Time 0.215 (0.224) Data 0.040 (0.077) Loss 3.0433 (2.8693) Prec@1 34.766 (37.410) Prec@5 63.281 (63.241)
Epoch: [19][3450/5005] Time 0.205 (0.224) Data 0.048 (0.077) Loss 2.7092 (2.8693) Prec@1 38.672 (37.411) Prec@5 66.406 (63.243)
Epoch: [19][3460/5005] Time 0.198 (0.224) Data 0.044 (0.077) Loss 2.7707 (2.8693) Prec@1 39.062 (37.414) Prec@5 64.844 (63.242)
Epoch: [19][3470/5005] Time 0.480 (0.224) Data 0.391 (0.077) Loss 2.7069 (2.8691) Prec@1 39.453 (37.418) Prec@5 65.234 (63.247)
Epoch: [19][3480/5005] Time 0.195 (0.224) Data 0.089 (0.077) Loss 2.8067 (2.8689) Prec@1 37.109 (37.417) Prec@5 64.062 (63.251)
Epoch: [19][3490/5005] Time 0.198 (0.224) Data 0.038 (0.077) Loss 2.9308 (2.8691) Prec@1 32.812 (37.412) Prec@5 63.672 (63.246)
Epoch: [19][3500/5005] Time 0.212 (0.224) Data 0.043 (0.077) Loss 2.8014 (2.8692) Prec@1 39.844 (37.410) Prec@5 63.281 (63.244)
Epoch: [19][3510/5005] Time 0.209 (0.224) Data 0.042 (0.077) Loss 2.8879 (2.8691) Prec@1 34.766 (37.411) Prec@5 62.109 (63.248)
Epoch: [19][3520/5005] Time 0.207 (0.224) Data 0.046 (0.077) Loss 2.9635 (2.8690) Prec@1 39.062 (37.415) Prec@5 61.328 (63.249)
Epoch: [19][3530/5005] Time 0.196 (0.224) Data 0.044 (0.077) Loss 2.8636 (2.8689) Prec@1 37.891 (37.419) Prec@5 63.281 (63.250)
Epoch: [19][3540/5005] Time 0.188 (0.224) Data 0.109 (0.077) Loss 2.7174 (2.8688) Prec@1 37.891 (37.424) Prec@5 67.188 (63.251)
Epoch: [19][3550/5005] Time 0.214 (0.224) Data 0.045 (0.077) Loss 2.9025 (2.8686) Prec@1 31.250 (37.426) Prec@5 62.891 (63.254)
Epoch: [19][3560/5005] Time 0.201 (0.224) Data 0.064 (0.077) Loss 3.0240 (2.8687) Prec@1 35.156 (37.424) Prec@5 59.766 (63.250)
Epoch: [19][3570/5005] Time 0.207 (0.224) Data 0.060 (0.077) Loss 3.0169 (2.8687) Prec@1 34.766 (37.422) Prec@5 60.547 (63.248)
Epoch: [19][3580/5005] Time 0.205 (0.224) Data 0.042 (0.077) Loss 2.9481 (2.8688) Prec@1 34.766 (37.418) Prec@5 59.766 (63.246)
Epoch: [19][3590/5005] Time 0.196 (0.224) Data 0.096 (0.077) Loss 2.9875 (2.8686) Prec@1 33.984 (37.422) Prec@5 60.547 (63.250)
Epoch: [19][3600/5005] Time 0.191 (0.224) Data 0.052 (0.077) Loss 2.9004 (2.8685) Prec@1 38.281 (37.426) Prec@5 61.719 (63.252)
Epoch: [19][3610/5005] Time 0.198 (0.224) Data 0.041 (0.077) Loss 2.8022 (2.8685) Prec@1 40.234 (37.428) Prec@5 60.938 (63.250)
Epoch: [19][3620/5005] Time 0.202 (0.224) Data 0.039 (0.077) Loss 3.0554 (2.8684) Prec@1 32.812 (37.432) Prec@5 59.766 (63.255)
Epoch: [19][3630/5005] Time 0.200 (0.224) Data 0.043 (0.077) Loss 3.1391 (2.8683) Prec@1 34.375 (37.432) Prec@5 57.812 (63.257)
Epoch: [19][3640/5005] Time 0.217 (0.224) Data 0.039 (0.077) Loss 2.9047 (2.8682) Prec@1 36.328 (37.433) Prec@5 64.844 (63.257)
Epoch: [19][3650/5005] Time 0.208 (0.224) Data 0.039 (0.077) Loss 2.6885 (2.8684) Prec@1 36.719 (37.430) Prec@5 65.625 (63.256)
Epoch: [19][3660/5005] Time 0.215 (0.224) Data 0.122 (0.077) Loss 2.9226 (2.8683) Prec@1 37.109 (37.431) Prec@5 61.328 (63.257)
Epoch: [19][3670/5005] Time 0.199 (0.224) Data 0.047 (0.077) Loss 3.0423 (2.8685) Prec@1 36.328 (37.429) Prec@5 57.422 (63.254)
Epoch: [19][3680/5005] Time 0.209 (0.224) Data 0.054 (0.077) Loss 2.8575 (2.8686) Prec@1 35.547 (37.426) Prec@5 64.453 (63.253)
Epoch: [19][3690/5005] Time 0.221 (0.224) Data 0.136 (0.077) Loss 2.7164 (2.8686) Prec@1 38.672 (37.422) Prec@5 63.672 (63.253)
Epoch: [19][3700/5005] Time 0.199 (0.224) Data 0.047 (0.077) Loss 2.9383 (2.8687) Prec@1 37.500 (37.420) Prec@5 65.234 (63.252)
Epoch: [19][3710/5005] Time 0.210 (0.224) Data 0.044 (0.077) Loss 2.7808 (2.8688) Prec@1 40.234 (37.418) Prec@5 62.891 (63.248)
Epoch: [19][3720/5005] Time 0.200 (0.224) Data 0.040 (0.077) Loss 3.0273 (2.8688) Prec@1 35.547 (37.419) Prec@5 62.109 (63.250)
Epoch: [19][3730/5005] Time 0.200 (0.224) Data 0.050 (0.077) Loss 2.9170 (2.8687) Prec@1 37.109 (37.420) Prec@5 65.625 (63.249)
Epoch: [19][3740/5005] Time 0.206 (0.224) Data 0.059 (0.077) Loss 2.8909 (2.8686) Prec@1 37.109 (37.423) Prec@5 62.891 (63.251)
Epoch: [19][3750/5005] Time 0.211 (0.224) Data 0.050 (0.077) Loss 2.7832 (2.8688) Prec@1 39.062 (37.424) Prec@5 61.719 (63.246)
Epoch: [19][3760/5005] Time 0.204 (0.224) Data 0.040 (0.077) Loss 2.9829 (2.8691) Prec@1 36.328 (37.417) Prec@5 62.500 (63.242)
Epoch: [19][3770/5005] Time 0.204 (0.224) Data 0.053 (0.077) Loss 3.0750 (2.8690) Prec@1 36.328 (37.416) Prec@5 56.250 (63.241)
Epoch: [19][3780/5005] Time 0.196 (0.224) Data 0.047 (0.077) Loss 2.8297 (2.8690) Prec@1 39.062 (37.417) Prec@5 66.406 (63.245)
Epoch: [19][3790/5005] Time 0.200 (0.224) Data 0.045 (0.077) Loss 2.8882 (2.8691) Prec@1 40.625 (37.416) Prec@5 62.891 (63.243)
Epoch: [19][3800/5005] Time 0.206 (0.224) Data 0.049 (0.077) Loss 2.7120 (2.8693) Prec@1 40.625 (37.415) Prec@5 66.797 (63.240)
Epoch: [19][3810/5005] Time 0.198 (0.224) Data 0.093 (0.077) Loss 2.7619 (2.8693) Prec@1 38.672 (37.413) Prec@5 66.797 (63.240)
Epoch: [19][3820/5005] Time 0.248 (0.224) Data 0.165 (0.077) Loss 2.7795 (2.8692) Prec@1 41.406 (37.417) Prec@5 63.281 (63.245)
Epoch: [19][3830/5005] Time 0.197 (0.224) Data 0.049 (0.077) Loss 2.8884 (2.8691) Prec@1 35.156 (37.418) Prec@5 64.062 (63.247)
Epoch: [19][3840/5005] Time 0.204 (0.224) Data 0.045 (0.077) Loss 3.1405 (2.8691) Prec@1 34.375 (37.418) Prec@5 56.250 (63.247)
Epoch: [19][3850/5005] Time 0.298 (0.224) Data 0.213 (0.077) Loss 2.9063 (2.8691) Prec@1 36.328 (37.418) Prec@5 63.672 (63.251)
Epoch: [19][3860/5005] Time 0.199 (0.224) Data 0.048 (0.077) Loss 2.6282 (2.8691) Prec@1 42.188 (37.415) Prec@5 67.188 (63.253)
Epoch: [19][3870/5005] Time 0.197 (0.224) Data 0.049 (0.077) Loss 2.8497 (2.8693) Prec@1 34.375 (37.412) Prec@5 62.500 (63.247)
Epoch: [19][3880/5005] Time 0.199 (0.224) Data 0.093 (0.077) Loss 2.8264 (2.8694) Prec@1 40.234 (37.409) Prec@5 62.891 (63.245)
Epoch: [19][3890/5005] Time 0.193 (0.224) Data 0.048 (0.077) Loss 3.1634 (2.8695) Prec@1 33.203 (37.409) Prec@5 60.547 (63.244)
Epoch: [19][3900/5005] Time 0.200 (0.224) Data 0.050 (0.077) Loss 3.1993 (2.8697) Prec@1 33.594 (37.406) Prec@5 57.812 (63.241)
Epoch: [19][3910/5005] Time 0.211 (0.224) Data 0.049 (0.077) Loss 3.0773 (2.8697) Prec@1 32.031 (37.408) Prec@5 60.938 (63.241)
Epoch: [19][3920/5005] Time 0.214 (0.224) Data 0.040 (0.077) Loss 2.9815 (2.8699) Prec@1 35.547 (37.407) Prec@5 59.375 (63.236)
Epoch: [19][3930/5005] Time 0.199 (0.224) Data 0.041 (0.077) Loss 2.7472 (2.8697) Prec@1 41.016 (37.410) Prec@5 62.109 (63.236)
Epoch: [19][3940/5005] Time 0.205 (0.224) Data 0.044 (0.077) Loss 2.8778 (2.8697) Prec@1 39.844 (37.409) Prec@5 62.891 (63.234)
Epoch: [19][3950/5005] Time 0.381 (0.224) Data 0.291 (0.077) Loss 2.9134 (2.8696) Prec@1 36.328 (37.407) Prec@5 61.328 (63.237)
Epoch: [19][3960/5005] Time 0.205 (0.224) Data 0.043 (0.077) Loss 2.6344 (2.8696) Prec@1 43.359 (37.407) Prec@5 70.312 (63.239)
Epoch: [19][3970/5005] Time 0.204 (0.224) Data 0.046 (0.077) Loss 2.9335 (2.8696) Prec@1 34.375 (37.405) Prec@5 64.062 (63.239)
Epoch: [19][3980/5005] Time 0.207 (0.224) Data 0.040 (0.077) Loss 2.6411 (2.8695) Prec@1 41.797 (37.404) Prec@5 66.016 (63.240)
Epoch: [19][3990/5005] Time 0.206 (0.224) Data 0.046 (0.077) Loss 3.0238 (2.8697) Prec@1 37.109 (37.404) Prec@5 62.500 (63.236)
Epoch: [19][4000/5005] Time 0.198 (0.224) Data 0.104 (0.077) Loss 2.6354 (2.8696) Prec@1 42.188 (37.406) Prec@5 64.844 (63.234)
Epoch: [19][4010/5005] Time 0.200 (0.224) Data 0.053 (0.077) Loss 2.9944 (2.8695) Prec@1 32.422 (37.406) Prec@5 61.719 (63.235)
Epoch: [19][4020/5005] Time 0.204 (0.224) Data 0.044 (0.077) Loss 3.1071 (2.8697) Prec@1 35.938 (37.402) Prec@5 60.938 (63.231)
Epoch: [19][4030/5005] Time 0.496 (0.224) Data 0.414 (0.077) Loss 3.2507 (2.8700) Prec@1 35.156 (37.400) Prec@5 60.547 (63.226)
Epoch: [19][4040/5005] Time 0.387 (0.224) Data 0.306 (0.077) Loss 3.0029 (2.8701) Prec@1 40.625 (37.398) Prec@5 59.375 (63.224)
Epoch: [19][4050/5005] Time 0.201 (0.224) Data 0.048 (0.077) Loss 3.1232 (2.8701) Prec@1 33.594 (37.399) Prec@5 58.594 (63.223)
Epoch: [19][4060/5005] Time 0.199 (0.224) Data 0.044 (0.078) Loss 2.8620 (2.8702) Prec@1 37.891 (37.398) Prec@5 60.547 (63.220)
Epoch: [19][4070/5005] Time 0.200 (0.224) Data 0.047 (0.077) Loss 2.9986 (2.8702) Prec@1 33.203 (37.397) Prec@5 63.281 (63.221)
Epoch: [19][4080/5005] Time 0.257 (0.224) Data 0.173 (0.078) Loss 2.8460 (2.8703) Prec@1 38.281 (37.396) Prec@5 63.281 (63.219)
Epoch: [19][4090/5005] Time 0.199 (0.224) Data 0.047 (0.078) Loss 2.9767 (2.8703) Prec@1 35.938 (37.394) Prec@5 60.938 (63.218)
Epoch: [19][4100/5005] Time 0.206 (0.224) Data 0.043 (0.078) Loss 2.8745 (2.8702) Prec@1 35.938 (37.396) Prec@5 61.719 (63.220)
Epoch: [19][4110/5005] Time 0.199 (0.224) Data 0.090 (0.077) Loss 3.0656 (2.8702) Prec@1 33.984 (37.393) Prec@5 61.719 (63.219)
Epoch: [19][4120/5005] Time 0.241 (0.224) Data 0.152 (0.078) Loss 2.9777 (2.8701) Prec@1 33.203 (37.393) Prec@5 64.453 (63.222)
Epoch: [19][4130/5005] Time 0.206 (0.224) Data 0.047 (0.078) Loss 3.1373 (2.8702) Prec@1 33.203 (37.391) Prec@5 58.594 (63.219)
Epoch: [19][4140/5005] Time 0.199 (0.224) Data 0.038 (0.078) Loss 2.8658 (2.8703) Prec@1 35.547 (37.389) Prec@5 64.453 (63.219)
Epoch: [19][4150/5005] Time 0.193 (0.224) Data 0.045 (0.078) Loss 3.0871 (2.8703) Prec@1 32.812 (37.386) Prec@5 60.938 (63.219)
Epoch: [19][4160/5005] Time 0.206 (0.224) Data 0.061 (0.078) Loss 2.7772 (2.8705) Prec@1 41.016 (37.385) Prec@5 64.844 (63.216)
Epoch: [19][4170/5005] Time 0.213 (0.224) Data 0.056 (0.078) Loss 2.8386 (2.8704) Prec@1 35.156 (37.387) Prec@5 63.281 (63.219)
Epoch: [19][4180/5005] Time 0.214 (0.224) Data 0.043 (0.078) Loss 2.6834 (2.8703) Prec@1 45.312 (37.390) Prec@5 65.625 (63.220)
Epoch: [19][4190/5005] Time 0.209 (0.224) Data 0.042 (0.078) Loss 2.8388 (2.8703) Prec@1 35.547 (37.392) Prec@5 64.453 (63.220)
Epoch: [19][4200/5005] Time 0.191 (0.224) Data 0.053 (0.078) Loss 2.8427 (2.8703) Prec@1 36.719 (37.392) Prec@5 62.109 (63.220)
Epoch: [19][4210/5005] Time 0.203 (0.224) Data 0.045 (0.078) Loss 2.8749 (2.8702) Prec@1 35.547 (37.390) Prec@5 61.719 (63.220)
Epoch: [19][4220/5005] Time 0.215 (0.224) Data 0.054 (0.078) Loss 3.0747 (2.8704) Prec@1 32.031 (37.388) Prec@5 61.719 (63.219)
Epoch: [19][4230/5005] Time 0.195 (0.224) Data 0.047 (0.078) Loss 2.8242 (2.8703) Prec@1 36.328 (37.389) Prec@5 63.672 (63.219)
Epoch: [19][4240/5005] Time 0.203 (0.224) Data 0.044 (0.078) Loss 2.8065 (2.8704) Prec@1 35.156 (37.385) Prec@5 64.453 (63.216)
Epoch: [19][4250/5005] Time 0.196 (0.224) Data 0.114 (0.078) Loss 2.7413 (2.8703) Prec@1 38.672 (37.387) Prec@5 64.844 (63.217)
Epoch: [19][4260/5005] Time 0.207 (0.224) Data 0.056 (0.078) Loss 2.8584 (2.8702) Prec@1 35.156 (37.385) Prec@5 58.984 (63.216)
Epoch: [19][4270/5005] Time 0.206 (0.224) Data 0.042 (0.078) Loss 3.0302 (2.8704) Prec@1 34.766 (37.383) Prec@5 63.672 (63.215)
Epoch: [19][4280/5005] Time 0.195 (0.224) Data 0.044 (0.078) Loss 2.9363 (2.8704) Prec@1 39.844 (37.383) Prec@5 63.672 (63.214)
Epoch: [19][4290/5005] Time 0.201 (0.224) Data 0.048 (0.078) Loss 3.0876 (2.8705) Prec@1 33.203 (37.380) Prec@5 58.984 (63.212)
Epoch: [19][4300/5005] Time 0.190 (0.224) Data 0.061 (0.078) Loss 2.8300 (2.8703) Prec@1 36.719 (37.383) Prec@5 65.625 (63.215)
Epoch: [19][4310/5005] Time 0.206 (0.224) Data 0.049 (0.078) Loss 2.7705 (2.8703) Prec@1 40.625 (37.383) Prec@5 64.062 (63.215)
Epoch: [19][4320/5005] Time 0.205 (0.224) Data 0.045 (0.078) Loss 2.8313 (2.8703) Prec@1 35.156 (37.383) Prec@5 66.016 (63.214)
Epoch: [19][4330/5005] Time 0.288 (0.224) Data 0.205 (0.078) Loss 2.8688 (2.8703) Prec@1 36.328 (37.380) Prec@5 64.062 (63.214)
Epoch: [19][4340/5005] Time 0.215 (0.224) Data 0.044 (0.078) Loss 2.8368 (2.8704) Prec@1 35.547 (37.376) Prec@5 64.453 (63.213)
Epoch: [19][4350/5005] Time 0.551 (0.224) Data 0.461 (0.078) Loss 2.9694 (2.8704) Prec@1 35.547 (37.374) Prec@5 65.234 (63.214)
Epoch: [19][4360/5005] Time 0.204 (0.224) Data 0.065 (0.078) Loss 2.7658 (2.8703) Prec@1 36.719 (37.374) Prec@5 65.625 (63.216)
Epoch: [19][4370/5005] Time 0.198 (0.224) Data 0.049 (0.078) Loss 2.8926 (2.8704) Prec@1 34.766 (37.373) Prec@5 64.062 (63.215)
Epoch: [19][4380/5005] Time 0.202 (0.224) Data 0.043 (0.078) Loss 2.9157 (2.8703) Prec@1 36.328 (37.374) Prec@5 61.328 (63.216)
Epoch: [19][4390/5005] Time 0.202 (0.224) Data 0.044 (0.078) Loss 3.0267 (2.8702) Prec@1 33.203 (37.376) Prec@5 59.766 (63.218)
Epoch: [19][4400/5005] Time 0.198 (0.224) Data 0.042 (0.078) Loss 2.8788 (2.8702) Prec@1 39.062 (37.376) Prec@5 64.062 (63.216)
Epoch: [19][4410/5005] Time 0.209 (0.224) Data 0.091 (0.078) Loss 2.9449 (2.8701) Prec@1 32.812 (37.376) Prec@5 62.500 (63.216)
Epoch: [19][4420/5005] Time 0.201 (0.224) Data 0.043 (0.078) Loss 2.5814 (2.8700) Prec@1 42.578 (37.377) Prec@5 67.188 (63.219)
Epoch: [19][4430/5005] Time 0.196 (0.224) Data 0.049 (0.078) Loss 2.8826 (2.8697) Prec@1 35.156 (37.379) Prec@5 58.203 (63.222)
Epoch: [19][4440/5005] Time 0.214 (0.224) Data 0.042 (0.078) Loss 2.9544 (2.8697) Prec@1 36.328 (37.379) Prec@5 62.891 (63.224)
Epoch: [19][4450/5005] Time 0.337 (0.224) Data 0.249 (0.078) Loss 2.7626 (2.8697) Prec@1 40.625 (37.381) Prec@5 64.844 (63.222)
Epoch: [19][4460/5005] Time 0.206 (0.224) Data 0.045 (0.078) Loss 2.9043 (2.8696) Prec@1 37.109 (37.381) Prec@5 62.109 (63.221)
Epoch: [19][4470/5005] Time 0.194 (0.224) Data 0.102 (0.078) Loss 2.8726 (2.8697) Prec@1 37.891 (37.380) Prec@5 66.016 (63.221)
Epoch: [19][4480/5005] Time 0.208 (0.224) Data 0.044 (0.078) Loss 2.6093 (2.8699) Prec@1 41.797 (37.379) Prec@5 65.625 (63.219)
Epoch: [19][4490/5005] Time 0.205 (0.224) Data 0.040 (0.078) Loss 2.8621 (2.8700) Prec@1 33.594 (37.374) Prec@5 61.328 (63.217)
Epoch: [19][4500/5005] Time 0.201 (0.224) Data 0.044 (0.078) Loss 2.8632 (2.8699) Prec@1 39.062 (37.377) Prec@5 66.016 (63.220)
Epoch: [19][4510/5005] Time 0.189 (0.224) Data 0.058 (0.078) Loss 2.7386 (2.8699) Prec@1 44.922 (37.379) Prec@5 66.406 (63.220)
Epoch: [19][4520/5005] Time 0.479 (0.224) Data 0.390 (0.078) Loss 2.8266 (2.8698) Prec@1 38.672 (37.379) Prec@5 64.844 (63.220)
Epoch: [19][4530/5005] Time 0.192 (0.224) Data 0.086 (0.078) Loss 2.7659 (2.8698) Prec@1 37.109 (37.379) Prec@5 61.719 (63.220)
Epoch: [19][4540/5005] Time 0.200 (0.224) Data 0.043 (0.078) Loss 3.0288 (2.8700) Prec@1 36.719 (37.377) Prec@5 62.500 (63.218)
Epoch: [19][4550/5005] Time 0.200 (0.224) Data 0.040 (0.078) Loss 2.9508 (2.8700) Prec@1 38.672 (37.377) Prec@5 61.719 (63.219)
Epoch: [19][4560/5005] Time 0.202 (0.224) Data 0.053 (0.078) Loss 2.9057 (2.8700) Prec@1 35.547 (37.378) Prec@5 61.328 (63.219)
Epoch: [19][4570/5005] Time 0.206 (0.224) Data 0.046 (0.078) Loss 2.8124 (2.8699) Prec@1 38.281 (37.382) Prec@5 64.453 (63.219)
Epoch: [19][4580/5005] Time 0.218 (0.224) Data 0.046 (0.078) Loss 2.9506 (2.8699) Prec@1 32.812 (37.382) Prec@5 62.891 (63.217)
Epoch: [19][4590/5005] Time 0.209 (0.224) Data 0.047 (0.078) Loss 2.6838 (2.8700) Prec@1 39.844 (37.380) Prec@5 66.406 (63.216)
Epoch: [19][4600/5005] Time 0.208 (0.224) Data 0.118 (0.078) Loss 2.5502 (2.8700) Prec@1 44.141 (37.379) Prec@5 71.094 (63.216)
Epoch: [19][4610/5005] Time 0.203 (0.224) Data 0.044 (0.078) Loss 2.6752 (2.8700) Prec@1 41.016 (37.377) Prec@5 63.281 (63.215)
Epoch: [19][4620/5005] Time 0.198 (0.224) Data 0.092 (0.078) Loss 2.6807 (2.8700) Prec@1 40.625 (37.379) Prec@5 64.062 (63.216)
Epoch: [19][4630/5005] Time 0.203 (0.224) Data 0.060 (0.078) Loss 2.6426 (2.8698) Prec@1 40.625 (37.382) Prec@5 68.359 (63.219)
Epoch: [19][4640/5005] Time 0.201 (0.224) Data 0.045 (0.078) Loss 2.9245 (2.8698) Prec@1 36.328 (37.382) Prec@5 63.281 (63.217)
Epoch: [19][4650/5005] Time 0.192 (0.224) Data 0.048 (0.078) Loss 2.8873 (2.8697) Prec@1 35.156 (37.383) Prec@5 58.984 (63.219)
Epoch: [19][4660/5005] Time 0.338 (0.224) Data 0.254 (0.078) Loss 3.1470 (2.8697) Prec@1 33.594 (37.384) Prec@5 57.422 (63.219)
Epoch: [19][4670/5005] Time 0.198 (0.224) Data 0.053 (0.078) Loss 2.8281 (2.8696) Prec@1 39.062 (37.387) Prec@5 64.453 (63.220)
Epoch: [19][4680/5005] Time 0.209 (0.224) Data 0.046 (0.078) Loss 2.6473 (2.8696) Prec@1 41.016 (37.387) Prec@5 69.922 (63.220)
Epoch: [19][4690/5005] Time 0.195 (0.224) Data 0.051 (0.078) Loss 2.8581 (2.8696) Prec@1 38.281 (37.386) Prec@5 64.453 (63.221)
Epoch: [19][4700/5005] Time 0.204 (0.224) Data 0.056 (0.078) Loss 2.8420 (2.8697) Prec@1 39.844 (37.385) Prec@5 65.234 (63.221)
Epoch: [19][4710/5005] Time 0.195 (0.224) Data 0.052 (0.079) Loss 2.7827 (2.8696) Prec@1 38.672 (37.386) Prec@5 64.844 (63.223)
Epoch: [19][4720/5005] Time 0.203 (0.224) Data 0.044 (0.078) Loss 2.9086 (2.8696) Prec@1 39.062 (37.385) Prec@5 61.719 (63.223)
Epoch: [19][4730/5005] Time 0.206 (0.224) Data 0.044 (0.078) Loss 2.9539 (2.8698) Prec@1 38.281 (37.384) Prec@5 66.406 (63.221)
Epoch: [19][4740/5005] Time 0.205 (0.224) Data 0.042 (0.078) Loss 2.8002 (2.8697) Prec@1 35.938 (37.384) Prec@5 65.234 (63.224)
Epoch: [19][4750/5005] Time 0.202 (0.224) Data 0.047 (0.078) Loss 2.9402 (2.8697) Prec@1 34.375 (37.384) Prec@5 62.891 (63.227)
Epoch: [19][4760/5005] Time 0.202 (0.224) Data 0.041 (0.078) Loss 3.2170 (2.8696) Prec@1 31.250 (37.387) Prec@5 55.859 (63.228)
Epoch: [19][4770/5005] Time 0.194 (0.224) Data 0.043 (0.078) Loss 2.7463 (2.8695) Prec@1 41.406 (37.389) Prec@5 67.188 (63.228)
Epoch: [19][4780/5005] Time 0.199 (0.224) Data 0.042 (0.078) Loss 2.8727 (2.8696) Prec@1 39.062 (37.387) Prec@5 64.062 (63.228)
Epoch: [19][4790/5005] Time 0.201 (0.224) Data 0.040 (0.078) Loss 3.1231 (2.8696) Prec@1 34.375 (37.388) Prec@5 59.375 (63.228)
Epoch: [19][4800/5005] Time 0.201 (0.224) Data 0.045 (0.078) Loss 2.8904 (2.8695) Prec@1 35.547 (37.387) Prec@5 62.891 (63.228)
Epoch: [19][4810/5005] Time 0.200 (0.224) Data 0.045 (0.078) Loss 2.9842 (2.8694) Prec@1 37.500 (37.388) Prec@5 59.375 (63.228)
Epoch: [19][4820/5005] Time 0.579 (0.224) Data 0.489 (0.079) Loss 3.0918 (2.8694) Prec@1 33.594 (37.389) Prec@5 56.250 (63.229)
Epoch: [19][4830/5005] Time 0.194 (0.224) Data 0.059 (0.078) Loss 2.8072 (2.8692) Prec@1 36.719 (37.391) Prec@5 63.281 (63.233)
Epoch: [19][4840/5005] Time 0.200 (0.224) Data 0.038 (0.078) Loss 2.5333 (2.8693) Prec@1 43.750 (37.388) Prec@5 67.969 (63.231)
Epoch: [19][4850/5005] Time 0.203 (0.224) Data 0.046 (0.078) Loss 2.9160 (2.8695) Prec@1 37.891 (37.385) Prec@5 63.672 (63.228)
Epoch: [19][4860/5005] Time 0.669 (0.224) Data 0.579 (0.078) Loss 2.9589 (2.8694) Prec@1 33.594 (37.385) Prec@5 65.234 (63.229)
Epoch: [19][4870/5005] Time 0.212 (0.224) Data 0.046 (0.078) Loss 2.7836 (2.8695) Prec@1 44.141 (37.386) Prec@5 66.406 (63.228)
Epoch: [19][4880/5005] Time 0.207 (0.224) Data 0.046 (0.078) Loss 2.7147 (2.8696) Prec@1 37.500 (37.385) Prec@5 64.453 (63.229)
Epoch: [19][4890/5005] Time 0.216 (0.224) Data 0.040 (0.078) Loss 2.9695 (2.8696) Prec@1 37.109 (37.386) Prec@5 62.109 (63.230)
Epoch: [19][4900/5005] Time 0.201 (0.224) Data 0.043 (0.078) Loss 2.7147 (2.8695) Prec@1 38.281 (37.386) Prec@5 66.797 (63.231)
Epoch: [19][4910/5005] Time 0.199 (0.224) Data 0.051 (0.078) Loss 2.8449 (2.8694) Prec@1 35.156 (37.386) Prec@5 64.062 (63.236)
Epoch: [19][4920/5005] Time 0.210 (0.224) Data 0.050 (0.078) Loss 2.7631 (2.8694) Prec@1 38.672 (37.388) Prec@5 64.062 (63.235)
Epoch: [19][4930/5005] Time 0.203 (0.224) Data 0.042 (0.078) Loss 2.9443 (2.8694) Prec@1 38.281 (37.388) Prec@5 61.328 (63.236)
Epoch: [19][4940/5005] Time 0.201 (0.224) Data 0.118 (0.078) Loss 2.9794 (2.8696) Prec@1 37.109 (37.385) Prec@5 62.109 (63.231)
Epoch: [19][4950/5005] Time 0.290 (0.224) Data 0.208 (0.078) Loss 2.8130 (2.8696) Prec@1 34.375 (37.384) Prec@5 62.891 (63.231)
Epoch: [19][4960/5005] Time 0.214 (0.224) Data 0.046 (0.078) Loss 2.9950 (2.8697) Prec@1 35.156 (37.385) Prec@5 64.453 (63.230)
Epoch: [19][4970/5005] Time 0.271 (0.224) Data 0.180 (0.078) Loss 3.0313 (2.8697) Prec@1 30.469 (37.384) Prec@5 62.891 (63.230)
Epoch: [19][4980/5005] Time 0.307 (0.224) Data 0.224 (0.078) Loss 2.9990 (2.8696) Prec@1 33.203 (37.385) Prec@5 62.109 (63.232)
Epoch: [19][4990/5005] Time 0.197 (0.224) Data 0.098 (0.078) Loss 2.8945 (2.8696) Prec@1 37.891 (37.386) Prec@5 59.375 (63.231)
Epoch: [19][5000/5005] Time 0.200 (0.224) Data 0.029 (0.078) Loss 2.9127 (2.8696) Prec@1 37.109 (37.386) Prec@5 62.500 (63.230)
Test: [0/196] Time 2.382 (2.382) Loss 2.7571 (2.7571) Prec@1 40.625 (40.625) Prec@5 66.016 (66.016)
Test: [10/196] Time 0.041 (0.385) Loss 2.8262 (2.9074) Prec@1 41.797 (37.962) Prec@5 64.062 (63.814)
Test: [20/196] Time 0.043 (0.294) Loss 2.8658 (2.9309) Prec@1 38.281 (36.737) Prec@5 60.938 (62.705)
Test: [30/196] Time 0.043 (0.263) Loss 2.7108 (2.9453) Prec@1 37.500 (36.152) Prec@5 64.062 (62.336)
Test: [40/196] Time 0.651 (0.264) Loss 2.7097 (2.9396) Prec@1 41.016 (36.347) Prec@5 66.406 (62.433)
Test: [50/196] Time 0.044 (0.260) Loss 2.9633 (2.9414) Prec@1 37.891 (36.405) Prec@5 66.406 (62.408)
Test: [60/196] Time 0.042 (0.255) Loss 2.7840 (2.9228) Prec@1 41.016 (36.828) Prec@5 62.109 (62.641)
Test: [70/196] Time 0.042 (0.246) Loss 2.9203 (2.9194) Prec@1 38.281 (36.862) Prec@5 61.328 (62.698)
Test: [80/196] Time 0.497 (0.241) Loss 2.8186 (2.9254) Prec@1 38.281 (36.777) Prec@5 67.969 (62.664)
Test: [90/196] Time 0.041 (0.242) Loss 2.9898 (2.9266) Prec@1 36.328 (36.693) Prec@5 58.203 (62.509)
Test: [100/196] Time 0.092 (0.241) Loss 2.9775 (2.9253) Prec@1 35.547 (36.715) Prec@5 60.156 (62.535)
Test: [110/196] Time 0.184 (0.237) Loss 3.1158 (2.9282) Prec@1 34.766 (36.666) Prec@5 57.422 (62.504)
Test: [120/196] Time 0.044 (0.237) Loss 2.7429 (2.9258) Prec@1 34.766 (36.664) Prec@5 64.844 (62.503)
Test: [130/196] Time 0.043 (0.234) Loss 2.6403 (2.9239) Prec@1 41.016 (36.755) Prec@5 67.578 (62.512)
Test: [140/196] Time 0.611 (0.235) Loss 2.6938 (2.9239) Prec@1 39.844 (36.774) Prec@5 67.578 (62.517)
Test: [150/196] Time 0.048 (0.235) Loss 2.5464 (2.9212) Prec@1 38.281 (36.848) Prec@5 70.703 (62.598)
Test: [160/196] Time 0.049 (0.234) Loss 2.8386 (2.9181) Prec@1 37.500 (36.898) Prec@5 61.719 (62.619)
Test: [170/196] Time 0.044 (0.231) Loss 2.7729 (2.9196) Prec@1 39.844 (36.920) Prec@5 67.188 (62.605)
Test: [180/196] Time 0.834 (0.235) Loss 3.1796 (2.9230) Prec@1 32.812 (36.883) Prec@5 57.812 (62.532)
Test: [190/196] Time 0.043 (0.233) Loss 3.1280 (2.9275) Prec@1 34.766 (36.852) Prec@5 53.906 (62.402)
* Prec@1 36.862 Prec@5 62.414
Learning rate: 0.001
Epoch: [20][0/5005] Time 2.242 (2.242) Data 2.157 (2.157) Loss 2.7325 (2.7325) Prec@1 37.891 (37.891) Prec@5 66.797 (66.797)
Epoch: [20][10/5005] Time 0.198 (0.388) Data 0.059 (0.240) Loss 2.8817 (2.8523) Prec@1 39.844 (37.322) Prec@5 62.891 (64.418)
Epoch: [20][20/5005] Time 0.204 (0.299) Data 0.042 (0.148) Loss 2.9829 (2.8677) Prec@1 34.766 (36.998) Prec@5 60.938 (63.765)
Epoch: [20][30/5005] Time 0.201 (0.267) Data 0.048 (0.117) Loss 2.7988 (2.8291) Prec@1 37.891 (37.702) Prec@5 65.625 (64.012)
Epoch: [20][40/5005] Time 0.189 (0.251) Data 0.047 (0.101) Loss 2.7864 (2.8439) Prec@1 39.062 (37.376) Prec@5 64.062 (63.720)
Epoch: [20][50/5005] Time 0.189 (0.240) Data 0.061 (0.092) Loss 2.6719 (2.8410) Prec@1 38.672 (37.492) Prec@5 67.578 (63.771)
Epoch: [20][60/5005] Time 0.194 (0.233) Data 0.045 (0.085) Loss 2.7945 (2.8401) Prec@1 35.156 (37.519) Prec@5 66.016 (63.749)
Epoch: [20][70/5005] Time 0.200 (0.233) Data 0.058 (0.080) Loss 2.7979 (2.8510) Prec@1 37.891 (37.269) Prec@5 65.625 (63.573)
Epoch: [20][80/5005] Time 0.205 (0.229) Data 0.047 (0.077) Loss 2.7643 (2.8471) Prec@1 40.234 (37.293) Prec@5 68.359 (63.604)
Epoch: [20][90/5005] Time 0.194 (0.226) Data 0.062 (0.074) Loss 2.8646 (2.8441) Prec@1 36.719 (37.453) Prec@5 65.625 (63.745)
Epoch: [20][100/5005] Time 0.201 (0.227) Data 0.039 (0.072) Loss 2.6343 (2.8463) Prec@1 41.406 (37.496) Prec@5 66.406 (63.633)
Epoch: [20][110/5005] Time 0.200 (0.225) Data 0.040 (0.069) Loss 2.8794 (2.8446) Prec@1 38.281 (37.613) Prec@5 61.719 (63.675)
Epoch: [20][120/5005] Time 0.199 (0.223) Data 0.040 (0.067) Loss 2.8662 (2.8482) Prec@1 37.891 (37.590) Prec@5 63.281 (63.572)
Epoch: [20][130/5005] Time 0.195 (0.221) Data 0.044 (0.065) Loss 2.9259 (2.8487) Prec@1 39.062 (37.601) Prec@5 62.891 (63.544)
Epoch: [20][140/5005] Time 0.192 (0.220) Data 0.079 (0.064) Loss 2.8361 (2.8491) Prec@1 35.938 (37.492) Prec@5 62.109 (63.558)
Epoch: [20][150/5005] Time 0.279 (0.222) Data 0.199 (0.069) Loss 3.0653 (2.8515) Prec@1 33.984 (37.453) Prec@5 61.328 (63.473)
Epoch: [20][160/5005] Time 0.206 (0.224) Data 0.045 (0.072) Loss 2.6978 (2.8502) Prec@1 41.016 (37.602) Prec@5 62.109 (63.473)
Epoch: [20][170/5005] Time 0.205 (0.225) Data 0.043 (0.074) Loss 2.9436 (2.8497) Prec@1 38.672 (37.687) Prec@5 60.547 (63.475)
Epoch: [20][180/5005] Time 0.211 (0.224) Data 0.058 (0.073) Loss 3.0010 (2.8506) Prec@1 39.062 (37.660) Prec@5 59.766 (63.430)
Epoch: [20][190/5005] Time 0.219 (0.226) Data 0.043 (0.076) Loss 3.0232 (2.8537) Prec@1 37.500 (37.578) Prec@5 58.203 (63.369)
Epoch: [20][200/5005] Time 0.208 (0.226) Data 0.107 (0.078) Loss 3.0410 (2.8551) Prec@1 31.250 (37.519) Prec@5 58.203 (63.367)
Epoch: [20][210/5005] Time 0.298 (0.227) Data 0.211 (0.080) Loss 2.5186 (2.8517) Prec@1 42.578 (37.546) Prec@5 69.922 (63.422)
Epoch: [20][220/5005] Time 0.211 (0.228) Data 0.050 (0.080) Loss 2.8053 (2.8524) Prec@1 36.719 (37.551) Prec@5 63.281 (63.444)
Epoch: [20][230/5005] Time 0.214 (0.228) Data 0.044 (0.081) Loss 2.8106 (2.8509) Prec@1 37.500 (37.603) Prec@5 62.891 (63.496)
Epoch: [20][240/5005] Time 0.262 (0.229) Data 0.173 (0.083) Loss 2.7454 (2.8494) Prec@1 39.453 (37.618) Prec@5 65.234 (63.487)
Epoch: [20][250/5005] Time 0.210 (0.230) Data 0.049 (0.083) Loss 2.8596 (2.8469) Prec@1 34.766 (37.640) Prec@5 65.625 (63.560)
Epoch: [20][260/5005] Time 0.218 (0.230) Data 0.045 (0.083) Loss 2.7519 (2.8479) Prec@1 35.938 (37.642) Prec@5 63.281 (63.552)
Epoch: [20][270/5005] Time 0.210 (0.230) Data 0.040 (0.083) Loss 2.8785 (2.8461) Prec@1 41.406 (37.696) Prec@5 62.891 (63.587)
Epoch: [20][280/5005] Time 0.216 (0.231) Data 0.079 (0.084) Loss 3.2666 (2.8496) Prec@1 30.469 (37.628) Prec@5 55.469 (63.531)
Epoch: [20][290/5005] Time 0.199 (0.231) Data 0.059 (0.085) Loss 2.7328 (2.8519) Prec@1 40.234 (37.599) Prec@5 64.062 (63.485)
Epoch: [20][300/5005] Time 0.209 (0.232) Data 0.053 (0.086) Loss 2.6704 (2.8521) Prec@1 44.531 (37.627) Prec@5 66.797 (63.503)
Epoch: [20][310/5005] Time 0.206 (0.232) Data 0.062 (0.085) Loss 2.6376 (2.8489) Prec@1 36.328 (37.653) Prec@5 68.750 (63.578)
Epoch: [20][320/5005] Time 0.212 (0.232) Data 0.048 (0.085) Loss 3.1909 (2.8496) Prec@1 35.156 (37.693) Prec@5 58.984 (63.587)
Epoch: [20][330/5005] Time 0.198 (0.232) Data 0.057 (0.086) Loss 2.5820 (2.8479) Prec@1 38.281 (37.676) Prec@5 67.969 (63.621)
Epoch: [20][340/5005] Time 0.223 (0.232) Data 0.045 (0.086) Loss 3.0690 (2.8527) Prec@1 35.938 (37.640) Prec@5 60.938 (63.562)
Epoch: [20][350/5005] Time 0.306 (0.232) Data 0.212 (0.087) Loss 3.0341 (2.8532) Prec@1 35.547 (37.629) Prec@5 60.547 (63.536)
Epoch: [20][360/5005] Time 0.217 (0.232) Data 0.045 (0.086) Loss 2.9407 (2.8535) Prec@1 34.766 (37.635) Prec@5 58.203 (63.525)
Epoch: [20][370/5005] Time 0.207 (0.231) Data 0.047 (0.085) Loss 2.8714 (2.8530) Prec@1 39.062 (37.632) Prec@5 64.844 (63.540)
Epoch: [20][380/5005] Time 0.206 (0.231) Data 0.045 (0.084) Loss 2.9536 (2.8540) Prec@1 35.547 (37.614) Prec@5 60.938 (63.518)
Epoch: [20][390/5005] Time 0.222 (0.230) Data 0.059 (0.083) Loss 2.8234 (2.8555) Prec@1 39.453 (37.579) Prec@5 66.016 (63.506)
Epoch: [20][400/5005] Time 0.213 (0.230) Data 0.050 (0.083) Loss 2.7007 (2.8530) Prec@1 39.453 (37.594) Prec@5 65.625 (63.546)
Epoch: [20][410/5005] Time 0.203 (0.229) Data 0.063 (0.082) Loss 2.6506 (2.8524) Prec@1 39.453 (37.605) Prec@5 67.578 (63.552)
Epoch: [20][420/5005] Time 0.216 (0.229) Data 0.048 (0.081) Loss 2.8374 (2.8528) Prec@1 37.500 (37.613) Prec@5 61.328 (63.543)
Epoch: [20][430/5005] Time 0.211 (0.228) Data 0.045 (0.080) Loss 2.7171 (2.8528) Prec@1 42.969 (37.629) Prec@5 67.578 (63.568)
Epoch: [20][440/5005] Time 0.221 (0.228) Data 0.045 (0.079) Loss 2.6458 (2.8512) Prec@1 43.359 (37.637) Prec@5 64.844 (63.589)
Epoch: [20][450/5005] Time 0.220 (0.228) Data 0.041 (0.079) Loss 2.6324 (2.8525) Prec@1 39.453 (37.588) Prec@5 61.328 (63.559)
Epoch: [20][460/5005] Time 0.209 (0.228) Data 0.042 (0.078) Loss 2.7753 (2.8528) Prec@1 39.453 (37.563) Prec@5 64.844 (63.569)
Epoch: [20][470/5005] Time 0.204 (0.227) Data 0.044 (0.077) Loss 2.8623 (2.8542) Prec@1 37.109 (37.555) Prec@5 63.281 (63.531)
Epoch: [20][480/5005] Time 0.210 (0.227) Data 0.044 (0.077) Loss 2.9012 (2.8538) Prec@1 37.500 (37.555) Prec@5 62.109 (63.537)
Epoch: [20][490/5005] Time 0.216 (0.227) Data 0.044 (0.076) Loss 2.7721 (2.8539) Prec@1 41.016 (37.552) Prec@5 62.891 (63.535)
Epoch: [20][500/5005] Time 0.205 (0.227) Data 0.042 (0.075) Loss 2.9300 (2.8557) Prec@1 35.938 (37.524) Prec@5 61.328 (63.518)
Epoch: [20][510/5005] Time 0.205 (0.227) Data 0.059 (0.075) Loss 3.0144 (2.8560) Prec@1 35.547 (37.544) Prec@5 61.328 (63.519)
Epoch: [20][520/5005] Time 0.209 (0.227) Data 0.043 (0.074) Loss 2.8281 (2.8562) Prec@1 36.328 (37.537) Prec@5 66.016 (63.512)
Epoch: [20][530/5005] Time 0.215 (0.227) Data 0.041 (0.074) Loss 2.7795 (2.8566) Prec@1 39.062 (37.538) Prec@5 62.500 (63.515)
Epoch: [20][540/5005] Time 0.223 (0.226) Data 0.041 (0.073) Loss 3.0312 (2.8572) Prec@1 31.641 (37.535) Prec@5 59.766 (63.510)
Epoch: [20][550/5005] Time 0.200 (0.226) Data 0.049 (0.073) Loss 2.8238 (2.8566) Prec@1 35.547 (37.559) Prec@5 62.891 (63.503)
Epoch: [20][560/5005] Time 0.200 (0.226) Data 0.054 (0.072) Loss 2.8539 (2.8564) Prec@1 37.109 (37.577) Prec@5 65.234 (63.516)
Epoch: [20][570/5005] Time 0.211 (0.226) Data 0.046 (0.072) Loss 2.8688 (2.8569) Prec@1 38.672 (37.570) Prec@5 62.109 (63.497)
Epoch: [20][580/5005] Time 0.210 (0.225) Data 0.045 (0.071) Loss 2.8696 (2.8564) Prec@1 37.891 (37.567) Prec@5 63.672 (63.509)
Epoch: [20][590/5005] Time 0.212 (0.225) Data 0.040 (0.071) Loss 3.1054 (2.8565) Prec@1 33.984 (37.576) Prec@5 57.812 (63.500)
Epoch: [20][600/5005] Time 0.214 (0.225) Data 0.046 (0.071) Loss 2.7472 (2.8574) Prec@1 37.500 (37.557) Prec@5 65.234 (63.483)
Epoch: [20][610/5005] Time 0.221 (0.225) Data 0.048 (0.070) Loss 2.7518 (2.8570) Prec@1 35.938 (37.552) Prec@5 66.016 (63.491)
Epoch: [20][620/5005] Time 0.212 (0.224) Data 0.045 (0.070) Loss 2.7151 (2.8569) Prec@1 42.188 (37.553) Prec@5 66.406 (63.489)
Epoch: [20][630/5005] Time 0.214 (0.224) Data 0.050 (0.070) Loss 3.0231 (2.8567) Prec@1 33.203 (37.551) Prec@5 60.156 (63.515)
Epoch: [20][640/5005] Time 0.214 (0.224) Data 0.058 (0.069) Loss 2.7163 (2.8569) Prec@1 36.328 (37.548) Prec@5 63.672 (63.510)
Epoch: [20][650/5005] Time 0.224 (0.224) Data 0.048 (0.069) Loss 3.0829 (2.8587) Prec@1 35.938 (37.522) Prec@5 59.375 (63.480)
Epoch: [20][660/5005] Time 0.222 (0.224) Data 0.049 (0.069) Loss 2.9690 (2.8579) Prec@1 35.547 (37.541) Prec@5 65.234 (63.485)
Epoch: [20][670/5005] Time 0.217 (0.224) Data 0.048 (0.069) Loss 3.0686 (2.8580) Prec@1 33.594 (37.537) Prec@5 58.203 (63.479)
Epoch: [20][680/5005] Time 0.212 (0.224) Data 0.064 (0.068) Loss 2.8850 (2.8586) Prec@1 39.062 (37.522) Prec@5 62.109 (63.458)
Epoch: [20][690/5005] Time 0.213 (0.223) Data 0.053 (0.068) Loss 2.7959 (2.8583) Prec@1 39.062 (37.519) Prec@5 62.500 (63.458)
Epoch: [20][700/5005] Time 0.213 (0.223) Data 0.061 (0.068) Loss 2.9746 (2.8584) Prec@1 35.547 (37.513) Prec@5 59.375 (63.457)
Epoch: [20][710/5005] Time 0.209 (0.223) Data 0.051 (0.068) Loss 2.9146 (2.8586) Prec@1 38.672 (37.524) Prec@5 58.984 (63.459)
Epoch: [20][720/5005] Time 0.217 (0.223) Data 0.041 (0.067) Loss 2.7809 (2.8580) Prec@1 33.984 (37.514) Prec@5 66.406 (63.466)
Epoch: [20][730/5005] Time 0.202 (0.223) Data 0.045 (0.067) Loss 2.8715 (2.8577) Prec@1 39.844 (37.532) Prec@5 62.109 (63.465)
Epoch: [20][740/5005] Time 0.211 (0.223) Data 0.041 (0.067) Loss 2.9252 (2.8578) Prec@1 33.984 (37.541) Prec@5 61.719 (63.460)
Epoch: [20][750/5005] Time 0.218 (0.222) Data 0.044 (0.066) Loss 2.6172 (2.8574) Prec@1 37.500 (37.529) Prec@5 69.531 (63.479)
Epoch: [20][760/5005] Time 0.202 (0.222) Data 0.058 (0.066) Loss 2.9437 (2.8582) Prec@1 34.375 (37.517) Prec@5 65.625 (63.471)
Epoch: [20][770/5005] Time 0.209 (0.222) Data 0.040 (0.066) Loss 2.9159 (2.8569) Prec@1 37.500 (37.554) Prec@5 65.234 (63.498)
Epoch: [20][780/5005] Time 0.210 (0.222) Data 0.039 (0.066) Loss 2.9008 (2.8569) Prec@1 35.156 (37.561) Prec@5 61.719 (63.486)
Epoch: [20][790/5005] Time 0.208 (0.222) Data 0.044 (0.065) Loss 2.8818 (2.8567) Prec@1 35.938 (37.566) Prec@5 63.281 (63.499)
Epoch: [20][800/5005] Time 0.199 (0.222) Data 0.063 (0.065) Loss 2.8417 (2.8561) Prec@1 37.891 (37.585) Prec@5 61.328 (63.494)
Epoch: [20][810/5005] Time 0.198 (0.222) Data 0.047 (0.066) Loss 2.9976 (2.8566) Prec@1 34.375 (37.581) Prec@5 60.547 (63.475)
Epoch: [20][820/5005] Time 0.206 (0.222) Data 0.080 (0.066) Loss 2.9853 (2.8569) Prec@1 33.984 (37.568) Prec@5 57.422 (63.470)
Epoch: [20][830/5005] Time 0.214 (0.222) Data 0.048 (0.066) Loss 2.7967 (2.8570) Prec@1 38.281 (37.570) Prec@5 62.500 (63.466)
Epoch: [20][840/5005] Time 0.200 (0.222) Data 0.047 (0.066) Loss 2.7168 (2.8570) Prec@1 38.281 (37.570) Prec@5 66.797 (63.478)
Epoch: [20][850/5005] Time 0.205 (0.222) Data 0.040 (0.066) Loss 2.9913 (2.8568) Prec@1 35.547 (37.568) Prec@5 67.188 (63.487)
Epoch: [20][860/5005] Time 0.205 (0.222) Data 0.122 (0.067) Loss 2.8636 (2.8570) Prec@1 36.719 (37.566) Prec@5 62.891 (63.487)
Epoch: [20][870/5005] Time 0.207 (0.222) Data 0.041 (0.067) Loss 2.9665 (2.8558) Prec@1 31.641 (37.581) Prec@5 60.547 (63.497)
Epoch: [20][880/5005] Time 0.200 (0.222) Data 0.101 (0.067) Loss 2.8217 (2.8561) Prec@1 38.281 (37.583) Prec@5 62.500 (63.487)
Epoch: [20][890/5005] Time 0.207 (0.222) Data 0.043 (0.067) Loss 3.0559 (2.8557) Prec@1 30.469 (37.580) Prec@5 59.766 (63.483)
Epoch: [20][900/5005] Time 0.217 (0.222) Data 0.053 (0.067) Loss 2.7909 (2.8547) Prec@1 37.109 (37.583) Prec@5 67.188 (63.508)
Epoch: [20][910/5005] Time 0.201 (0.222) Data 0.057 (0.068) Loss 2.7490 (2.8546) Prec@1 36.328 (37.573) Prec@5 66.406 (63.497)
Epoch: [20][920/5005] Time 0.199 (0.223) Data 0.047 (0.068) Loss 2.8615 (2.8540) Prec@1 32.812 (37.576) Prec@5 62.500 (63.505)
Epoch: [20][930/5005] Time 0.209 (0.223) Data 0.041 (0.068) Loss 2.7853 (2.8535) Prec@1 39.062 (37.589) Prec@5 64.062 (63.520)
Epoch: [20][940/5005] Time 0.409 (0.224) Data 0.320 (0.069) Loss 2.8563 (2.8542) Prec@1 37.891 (37.579) Prec@5 63.672 (63.519)
Epoch: [20][950/5005] Time 0.193 (0.224) Data 0.066 (0.069) Loss 2.9243 (2.8549) Prec@1 39.453 (37.576) Prec@5 62.891 (63.505)
Epoch: [20][960/5005] Time 0.391 (0.225) Data 0.305 (0.070) Loss 2.9902 (2.8554) Prec@1 36.719 (37.578) Prec@5 62.500 (63.498)
Epoch: [20][970/5005] Time 0.196 (0.225) Data 0.047 (0.070) Loss 2.5713 (2.8553) Prec@1 44.531 (37.573) Prec@5 66.406 (63.491)
Epoch: [20][980/5005] Time 0.196 (0.225) Data 0.069 (0.070) Loss 2.8052 (2.8548) Prec@1 39.062 (37.577) Prec@5 60.547 (63.498)
Epoch: [20][990/5005] Time 0.207 (0.225) Data 0.053 (0.070) Loss 2.9481 (2.8553) Prec@1 31.641 (37.563) Prec@5 64.062 (63.494)
Epoch: [20][1000/5005] Time 0.208 (0.225) Data 0.044 (0.069) Loss 2.9300 (2.8552) Prec@1 34.375 (37.557) Prec@5 61.719 (63.501)
Epoch: [20][1010/5005] Time 0.207 (0.224) Data 0.050 (0.069) Loss 2.8491 (2.8550) Prec@1 40.625 (37.565) Prec@5 64.453 (63.501)
Epoch: [20][1020/5005] Time 0.208 (0.224) Data 0.053 (0.069) Loss 2.6695 (2.8553) Prec@1 41.406 (37.571) Prec@5 67.969 (63.488)
Epoch: [20][1030/5005] Time 0.206 (0.224) Data 0.042 (0.069) Loss 2.7873 (2.8550) Prec@1 38.672 (37.573) Prec@5 65.625 (63.501)
Epoch: [20][1040/5005] Time 0.207 (0.224) Data 0.046 (0.069) Loss 2.9612 (2.8554) Prec@1 35.156 (37.568) Prec@5 60.938 (63.498)
Epoch: [20][1050/5005] Time 0.212 (0.224) Data 0.060 (0.068) Loss 2.9640 (2.8559) Prec@1 35.547 (37.548) Prec@5 60.938 (63.489)
Epoch: [20][1060/5005] Time 0.200 (0.224) Data 0.043 (0.068) Loss 2.9788 (2.8566) Prec@1 37.500 (37.532) Prec@5 62.109 (63.479)
Epoch: [20][1070/5005] Time 0.208 (0.224) Data 0.041 (0.068) Loss 2.9067 (2.8567) Prec@1 38.672 (37.527) Prec@5 62.500 (63.476)
Epoch: [20][1080/5005] Time 0.212 (0.224) Data 0.044 (0.068) Loss 2.8628 (2.8567) Prec@1 37.891 (37.527) Prec@5 62.109 (63.467)
Epoch: [20][1090/5005] Time 0.209 (0.223) Data 0.040 (0.068) Loss 2.7193 (2.8565) Prec@1 35.938 (37.524) Prec@5 65.234 (63.477)
Epoch: [20][1100/5005] Time 0.202 (0.223) Data 0.039 (0.067) Loss 2.7060 (2.8563) Prec@1 37.891 (37.524) Prec@5 66.406 (63.482)
Epoch: [20][1110/5005] Time 0.197 (0.223) Data 0.053 (0.067) Loss 2.8778 (2.8564) Prec@1 37.109 (37.524) Prec@5 62.500 (63.480)
Epoch: [20][1120/5005] Time 0.200 (0.223) Data 0.047 (0.067) Loss 2.8534 (2.8558) Prec@1 35.156 (37.532) Prec@5 60.938 (63.492)
Epoch: [20][1130/5005] Time 0.210 (0.223) Data 0.060 (0.067) Loss 2.8667 (2.8565) Prec@1 36.328 (37.517) Prec@5 64.844 (63.482)
Epoch: [20][1140/5005] Time 0.213 (0.223) Data 0.047 (0.067) Loss 2.8753 (2.8564) Prec@1 38.281 (37.526) Prec@5 63.281 (63.477)
Epoch: [20][1150/5005] Time 0.214 (0.223) Data 0.047 (0.067) Loss 2.8227 (2.8560) Prec@1 33.594 (37.529) Prec@5 66.016 (63.486)
Epoch: [20][1160/5005] Time 0.202 (0.223) Data 0.050 (0.066) Loss 2.8118 (2.8558) Prec@1 37.891 (37.527) Prec@5 64.062 (63.492)
Epoch: [20][1170/5005] Time 0.204 (0.222) Data 0.049 (0.066) Loss 2.7691 (2.8557) Prec@1 40.234 (37.522) Prec@5 70.312 (63.498)
Epoch: [20][1180/5005] Time 0.213 (0.222) Data 0.043 (0.066) Loss 2.9943 (2.8560) Prec@1 36.328 (37.512) Prec@5 59.375 (63.486)
Epoch: [20][1190/5005] Time 0.210 (0.222) Data 0.043 (0.066) Loss 2.6436 (2.8560) Prec@1 41.406 (37.505) Prec@5 67.188 (63.491)
Epoch: [20][1200/5005] Time 0.199 (0.222) Data 0.052 (0.066) Loss 3.0072 (2.8559) Prec@1 34.766 (37.513) Prec@5 62.500 (63.490)
Epoch: [20][1210/5005] Time 0.203 (0.222) Data 0.041 (0.066) Loss 2.8751 (2.8562) Prec@1 36.328 (37.505) Prec@5 61.719 (63.494)
Epoch: [20][1220/5005] Time 0.211 (0.222) Data 0.041 (0.066) Loss 2.9886 (2.8564) Prec@1 31.250 (37.497) Prec@5 62.109 (63.492)
Epoch: [20][1230/5005] Time 0.374 (0.223) Data 0.299 (0.067) Loss 2.8498 (2.8565) Prec@1 37.891 (37.481) Prec@5 62.500 (63.490)
Epoch: [20][1240/5005] Time 0.432 (0.223) Data 0.352 (0.067) Loss 2.8976 (2.8565) Prec@1 37.891 (37.486) Prec@5 62.109 (63.483)
Epoch: [20][1250/5005] Time 0.208 (0.223) Data 0.044 (0.067) Loss 3.1583 (2.8571) Prec@1 32.812 (37.475) Prec@5 57.031 (63.470)
Epoch: [20][1260/5005] Time 0.207 (0.223) Data 0.047 (0.067) Loss 2.6955 (2.8567) Prec@1 38.281 (37.481) Prec@5 68.750 (63.481)
Epoch: [20][1270/5005] Time 0.198 (0.223) Data 0.051 (0.067) Loss 2.8892 (2.8571) Prec@1 32.812 (37.472) Prec@5 61.328 (63.476)
Epoch: [20][1280/5005] Time 0.206 (0.223) Data 0.046 (0.067) Loss 2.8574 (2.8574) Prec@1 35.156 (37.465) Prec@5 64.062 (63.468)
Epoch: [20][1290/5005] Time 0.207 (0.223) Data 0.041 (0.067) Loss 2.6926 (2.8572) Prec@1 41.016 (37.477) Prec@5 64.453 (63.468)
Epoch: [20][1300/5005] Time 0.206 (0.223) Data 0.054 (0.067) Loss 2.8481 (2.8572) Prec@1 36.719 (37.477) Prec@5 65.234 (63.471)
Epoch: [20][1310/5005] Time 0.210 (0.223) Data 0.043 (0.068) Loss 2.8256 (2.8570) Prec@1 39.844 (37.486) Prec@5 64.062 (63.484)
Epoch: [20][1320/5005] Time 0.213 (0.223) Data 0.048 (0.068) Loss 2.9091 (2.8569) Prec@1 35.547 (37.492) Prec@5 65.625 (63.488)
Epoch: [20][1330/5005] Time 0.213 (0.223) Data 0.048 (0.068) Loss 2.8924 (2.8573) Prec@1 37.500 (37.486) Prec@5 65.625 (63.476)
Epoch: [20][1340/5005] Time 0.215 (0.223) Data 0.038 (0.068) Loss 2.8168 (2.8573) Prec@1 38.672 (37.486) Prec@5 65.234 (63.477)
Epoch: [20][1350/5005] Time 0.232 (0.223) Data 0.148 (0.068) Loss 3.2597 (2.8580) Prec@1 31.250 (37.475) Prec@5 60.938 (63.463)
Epoch: [20][1360/5005] Time 0.200 (0.223) Data 0.046 (0.068) Loss 2.7580 (2.8578) Prec@1 42.578 (37.487) Prec@5 66.016 (63.469)
Epoch: [20][1370/5005] Time 0.202 (0.223) Data 0.046 (0.068) Loss 3.0004 (2.8578) Prec@1 36.719 (37.478) Prec@5 62.500 (63.469)
Epoch: [20][1380/5005] Time 0.201 (0.223) Data 0.046 (0.068) Loss 2.8768 (2.8577) Prec@1 38.281 (37.475) Prec@5 65.234 (63.469)
Epoch: [20][1390/5005] Time 0.209 (0.223) Data 0.052 (0.068) Loss 2.7027 (2.8576) Prec@1 42.578 (37.481) Prec@5 67.969 (63.474)
Epoch: [20][1400/5005] Time 0.209 (0.223) Data 0.046 (0.068) Loss 2.8380 (2.8569) Prec@1 41.016 (37.490) Prec@5 63.281 (63.481)
Epoch: [20][1410/5005] Time 0.206 (0.223) Data 0.047 (0.068) Loss 2.7928 (2.8564) Prec@1 41.797 (37.501) Prec@5 66.797 (63.496)
Epoch: [20][1420/5005] Time 0.201 (0.223) Data 0.044 (0.068) Loss 2.9048 (2.8563) Prec@1 36.328 (37.505) Prec@5 64.062 (63.495)
Epoch: [20][1430/5005] Time 0.280 (0.223) Data 0.195 (0.069) Loss 2.4414 (2.8560) Prec@1 42.969 (37.509) Prec@5 72.266 (63.496)
Epoch: [20][1440/5005] Time 0.216 (0.223) Data 0.047 (0.069) Loss 2.6395 (2.8559) Prec@1 40.234 (37.505) Prec@5 67.188 (63.495)
Epoch: [20][1450/5005] Time 0.194 (0.223) Data 0.053 (0.069) Loss 3.0042 (2.8561) Prec@1 39.453 (37.510) Prec@5 62.109 (63.486)
Epoch: [20][1460/5005] Time 0.198 (0.223) Data 0.052 (0.069) Loss 2.8534 (2.8558) Prec@1 35.156 (37.515) Prec@5 60.547 (63.492)
Epoch: [20][1470/5005] Time 0.212 (0.223) Data 0.131 (0.069) Loss 2.8333 (2.8558) Prec@1 37.891 (37.513) Prec@5 62.891 (63.488)
Epoch: [20][1480/5005] Time 0.200 (0.223) Data 0.046 (0.069) Loss 2.6602 (2.8559) Prec@1 40.234 (37.512) Prec@5 67.188 (63.488)
Epoch: [20][1490/5005] Time 0.209 (0.223) Data 0.041 (0.069) Loss 3.0726 (2.8558) Prec@1 34.375 (37.515) Prec@5 62.109 (63.493)
Epoch: [20][1500/5005] Time 0.196 (0.223) Data 0.047 (0.069) Loss 2.9210 (2.8559) Prec@1 39.844 (37.516) Prec@5 58.203 (63.490)
Epoch: [20][1510/5005] Time 0.213 (0.223) Data 0.046 (0.070) Loss 2.6468 (2.8553) Prec@1 40.234 (37.527) Prec@5 68.359 (63.501)
Epoch: [20][1520/5005] Time 0.207 (0.223) Data 0.044 (0.069) Loss 2.8920 (2.8552) Prec@1 34.766 (37.530) Prec@5 60.547 (63.497)
Epoch: [20][1530/5005] Time 0.204 (0.223) Data 0.045 (0.069) Loss 2.9747 (2.8555) Prec@1 33.203 (37.523) Prec@5 61.328 (63.488)
Epoch: [20][1540/5005] Time 0.339 (0.223) Data 0.252 (0.070) Loss 2.9428 (2.8560) Prec@1 36.328 (37.518) Prec@5 61.328 (63.478)
Epoch: [20][1550/5005] Time 0.202 (0.223) Data 0.060 (0.070) Loss 2.8383 (2.8556) Prec@1 40.234 (37.528) Prec@5 64.844 (63.487)
Epoch: [20][1560/5005] Time 0.194 (0.223) Data 0.049 (0.070) Loss 2.6644 (2.8558) Prec@1 42.969 (37.529) Prec@5 66.016 (63.484)
Epoch: [20][1570/5005] Time 0.204 (0.223) Data 0.041 (0.070) Loss 2.6951 (2.8554) Prec@1 42.578 (37.532) Prec@5 69.922 (63.490)
Epoch: [20][1580/5005] Time 0.206 (0.224) Data 0.041 (0.070) Loss 2.6494 (2.8561) Prec@1 39.062 (37.521) Prec@5 70.312 (63.471)
Epoch: [20][1590/5005] Time 0.196 (0.224) Data 0.045 (0.071) Loss 2.8189 (2.8562) Prec@1 37.891 (37.521) Prec@5 66.406 (63.467)
Epoch: [20][1600/5005] Time 0.195 (0.224) Data 0.055 (0.071) Loss 2.9525 (2.8563) Prec@1 37.891 (37.519) Prec@5 59.766 (63.469)
Epoch: [20][1610/5005] Time 0.208 (0.224) Data 0.045 (0.071) Loss 2.9669 (2.8563) Prec@1 37.891 (37.524) Prec@5 62.109 (63.467)
Epoch: [20][1620/5005] Time 0.208 (0.223) Data 0.057 (0.071) Loss 3.1667 (2.8564) Prec@1 30.859 (37.523) Prec@5 57.812 (63.471)
Epoch: [20][1630/5005] Time 0.202 (0.224) Data 0.048 (0.071) Loss 2.7111 (2.8564) Prec@1 40.625 (37.525) Prec@5 67.969 (63.470)
Epoch: [20][1640/5005] Time 0.203 (0.223) Data 0.051 (0.071) Loss 2.8714 (2.8568) Prec@1 37.500 (37.526) Prec@5 68.359 (63.464)
Epoch: [20][1650/5005] Time 0.208 (0.223) Data 0.041 (0.071) Loss 2.8106 (2.8566) Prec@1 41.406 (37.533) Prec@5 61.328 (63.469)
Epoch: [20][1660/5005] Time 0.209 (0.224) Data 0.046 (0.071) Loss 2.8073 (2.8558) Prec@1 42.578 (37.557) Prec@5 66.016 (63.485)
Epoch: [20][1670/5005] Time 0.202 (0.224) Data 0.045 (0.071) Loss 2.6054 (2.8559) Prec@1 42.578 (37.557) Prec@5 69.141 (63.490)
Epoch: [20][1680/5005] Time 0.196 (0.223) Data 0.054 (0.071) Loss 2.9535 (2.8561) Prec@1 38.281 (37.559) Prec@5 60.938 (63.484)
Epoch: [20][1690/5005] Time 0.207 (0.223) Data 0.047 (0.071) Loss 2.7492 (2.8557) Prec@1 39.844 (37.568) Prec@5 65.625 (63.497)
Epoch: [20][1700/5005] Time 0.195 (0.223) Data 0.083 (0.071) Loss 2.7807 (2.8553) Prec@1 35.938 (37.576) Prec@5 66.406 (63.504)
Epoch: [20][1710/5005] Time 0.204 (0.224) Data 0.048 (0.071) Loss 2.7565 (2.8549) Prec@1 37.891 (37.578) Prec@5 63.672 (63.507)
Epoch: [20][1720/5005] Time 0.202 (0.224) Data 0.040 (0.071) Loss 2.9415 (2.8547) Prec@1 36.328 (37.584) Prec@5 59.375 (63.509)
Epoch: [20][1730/5005] Time 0.206 (0.224) Data 0.042 (0.071) Loss 2.9052 (2.8546) Prec@1 35.547 (37.582) Prec@5 61.719 (63.514)
Epoch: [20][1740/5005] Time 0.210 (0.224) Data 0.059 (0.071) Loss 2.8207 (2.8546) Prec@1 39.844 (37.585) Prec@5 65.234 (63.514)
Epoch: [20][1750/5005] Time 0.204 (0.224) Data 0.046 (0.071) Loss 2.9689 (2.8542) Prec@1 32.812 (37.592) Prec@5 61.719 (63.520)
Epoch: [20][1760/5005] Time 0.196 (0.224) Data 0.047 (0.071) Loss 2.6741 (2.8541) Prec@1 40.625 (37.597) Prec@5 66.797 (63.521)
Epoch: [20][1770/5005] Time 0.203 (0.224) Data 0.048 (0.071) Loss 2.9756 (2.8539) Prec@1 33.594 (37.589) Prec@5 62.891 (63.524)
Epoch: [20][1780/5005] Time 0.205 (0.224) Data 0.055 (0.072) Loss 2.8134 (2.8540) Prec@1 35.938 (37.587) Prec@5 63.672 (63.524)
Epoch: [20][1790/5005] Time 0.203 (0.224) Data 0.045 (0.072) Loss 2.7075 (2.8538) Prec@1 43.359 (37.595) Prec@5 66.797 (63.527)
Epoch: [20][1800/5005] Time 0.195 (0.224) Data 0.045 (0.072) Loss 2.8839 (2.8536) Prec@1 37.109 (37.601) Prec@5 63.672 (63.533)
Epoch: [20][1810/5005] Time 0.209 (0.224) Data 0.047 (0.072) Loss 2.7112 (2.8536) Prec@1 37.109 (37.598) Prec@5 65.234 (63.534)
Epoch: [20][1820/5005] Time 0.212 (0.224) Data 0.040 (0.072) Loss 2.9241 (2.8536) Prec@1 36.719 (37.596) Prec@5 61.328 (63.534)
Epoch: [20][1830/5005] Time 0.297 (0.224) Data 0.221 (0.072) Loss 2.6726 (2.8534) Prec@1 41.016 (37.598) Prec@5 66.797 (63.539)
Epoch: [20][1840/5005] Time 0.196 (0.224) Data 0.044 (0.072) Loss 2.9555 (2.8533) Prec@1 35.156 (37.605) Prec@5 61.719 (63.538)
Epoch: [20][1850/5005] Time 0.203 (0.224) Data 0.040 (0.072) Loss 2.8174 (2.8532) Prec@1 40.625 (37.611) Prec@5 62.891 (63.540)
Epoch: [20][1860/5005] Time 0.357 (0.224) Data 0.271 (0.072) Loss 2.7347 (2.8532) Prec@1 41.797 (37.609) Prec@5 65.625 (63.543)
Epoch: [20][1870/5005] Time 0.202 (0.224) Data 0.065 (0.072) Loss 3.0291 (2.8534) Prec@1 32.031 (37.601) Prec@5 59.766 (63.534)
Epoch: [20][1880/5005] Time 0.201 (0.224) Data 0.044 (0.072) Loss 2.8681 (2.8537) Prec@1 36.719 (37.600) Prec@5 64.453 (63.529)
Epoch: [20][1890/5005] Time 0.209 (0.224) Data 0.041 (0.072) Loss 3.0221 (2.8536) Prec@1 35.547 (37.605) Prec@5 60.547 (63.530)
Epoch: [20][1900/5005] Time 0.321 (0.224) Data 0.239 (0.072) Loss 2.9809 (2.8542) Prec@1 34.375 (37.596) Prec@5 64.062 (63.521)
Epoch: [20][1910/5005] Time 0.208 (0.224) Data 0.040 (0.073) Loss 2.8399 (2.8544) Prec@1 37.891 (37.591) Prec@5 65.625 (63.513)
Epoch: [20][1920/5005] Time 0.197 (0.224) Data 0.049 (0.072) Loss 2.7204 (2.8543) Prec@1 38.672 (37.591) Prec@5 67.578 (63.513)
Epoch: [20][1930/5005] Time 0.203 (0.224) Data 0.041 (0.072) Loss 2.6964 (2.8540) Prec@1 35.938 (37.595) Prec@5 64.062 (63.522)
Epoch: [20][1940/5005] Time 0.208 (0.224) Data 0.043 (0.072) Loss 2.5246 (2.8536) Prec@1 43.750 (37.596) Prec@5 71.484 (63.534)
Epoch: [20][1950/5005] Time 0.209 (0.224) Data 0.051 (0.072) Loss 2.9532 (2.8536) Prec@1 31.250 (37.593) Prec@5 60.938 (63.532)
Epoch: [20][1960/5005] Time 0.211 (0.224) Data 0.043 (0.072) Loss 2.7472 (2.8533) Prec@1 38.672 (37.601) Prec@5 62.109 (63.539)
Epoch: [20][1970/5005] Time 0.203 (0.224) Data 0.047 (0.072) Loss 2.7962 (2.8537) Prec@1 37.109 (37.593) Prec@5 63.281 (63.528)
Epoch: [20][1980/5005] Time 0.278 (0.224) Data 0.197 (0.073) Loss 2.5779 (2.8535) Prec@1 42.969 (37.601) Prec@5 67.188 (63.531)
Epoch: [20][1990/5005] Time 0.204 (0.224) Data 0.045 (0.073) Loss 2.6772 (2.8534) Prec@1 36.719 (37.601) Prec@5 65.625 (63.533)
Epoch: [20][2000/5005] Time 0.206 (0.224) Data 0.063 (0.073) Loss 2.7043 (2.8535) Prec@1 42.969 (37.598) Prec@5 64.844 (63.533)
Epoch: [20][2010/5005] Time 0.198 (0.224) Data 0.048 (0.073) Loss 2.8390 (2.8538) Prec@1 38.672 (37.596) Prec@5 63.672 (63.523)
Epoch: [20][2020/5005] Time 0.339 (0.224) Data 0.251 (0.073) Loss 2.8252 (2.8538) Prec@1 35.938 (37.601) Prec@5 62.891 (63.523)
Epoch: [20][2030/5005] Time 0.201 (0.224) Data 0.051 (0.073) Loss 2.7250 (2.8538) Prec@1 42.969 (37.613) Prec@5 67.969 (63.524)
Epoch: [20][2040/5005] Time 0.208 (0.224) Data 0.056 (0.073) Loss 2.6121 (2.8535) Prec@1 39.844 (37.616) Prec@5 66.016 (63.527)
Epoch: [20][2050/5005] Time 0.192 (0.224) Data 0.050 (0.073) Loss 2.8213 (2.8534) Prec@1 41.406 (37.616) Prec@5 66.016 (63.530)
Epoch: [20][2060/5005] Time 0.204 (0.224) Data 0.053 (0.073) Loss 2.7471 (2.8532) Prec@1 39.062 (37.619) Prec@5 61.328 (63.529)
Epoch: [20][2070/5005] Time 0.204 (0.224) Data 0.054 (0.073) Loss 3.1189 (2.8534) Prec@1 33.203 (37.616) Prec@5 60.547 (63.525)
Epoch: [20][2080/5005] Time 0.206 (0.224) Data 0.044 (0.073) Loss 2.8604 (2.8536) Prec@1 37.500 (37.618) Prec@5 66.406 (63.523)
Epoch: [20][2090/5005] Time 0.210 (0.224) Data 0.046 (0.073) Loss 2.6795 (2.8532) Prec@1 40.625 (37.621) Prec@5 64.844 (63.525)
Epoch: [20][2100/5005] Time 0.204 (0.224) Data 0.051 (0.073) Loss 2.8720 (2.8533) Prec@1 36.719 (37.628) Prec@5 64.062 (63.526)
Epoch: [20][2110/5005] Time 0.213 (0.224) Data 0.050 (0.073) Loss 2.7688 (2.8535) Prec@1 37.109 (37.622) Prec@5 63.672 (63.524)
Epoch: [20][2120/5005] Time 0.205 (0.224) Data 0.045 (0.073) Loss 2.8614 (2.8533) Prec@1 41.016 (37.624) Prec@5 61.719 (63.527)
Epoch: [20][2130/5005] Time 0.216 (0.224) Data 0.044 (0.074) Loss 2.9633 (2.8531) Prec@1 35.938 (37.629) Prec@5 60.547 (63.529)
Epoch: [20][2140/5005] Time 0.204 (0.224) Data 0.039 (0.073) Loss 2.6533 (2.8531) Prec@1 40.234 (37.629) Prec@5 64.453 (63.525)
Epoch: [20][2150/5005] Time 0.194 (0.224) Data 0.045 (0.074) Loss 2.6930 (2.8531) Prec@1 41.797 (37.633) Prec@5 64.453 (63.525)
Epoch: [20][2160/5005] Time 0.206 (0.224) Data 0.040 (0.074) Loss 2.6742 (2.8534) Prec@1 39.844 (37.634) Prec@5 64.453 (63.519)
Epoch: [20][2170/5005] Time 0.196 (0.224) Data 0.057 (0.074) Loss 2.8060 (2.8533) Prec@1 38.281 (37.639) Prec@5 64.844 (63.521)
Epoch: [20][2180/5005] Time 0.260 (0.224) Data 0.176 (0.074) Loss 2.8537 (2.8532) Prec@1 39.844 (37.645) Prec@5 62.500 (63.522)
Epoch: [20][2190/5005] Time 0.201 (0.224) Data 0.091 (0.074) Loss 3.1723 (2.8533) Prec@1 32.812 (37.650) Prec@5 57.422 (63.519)
Epoch: [20][2200/5005] Time 0.216 (0.224) Data 0.047 (0.074) Loss 3.0296 (2.8535) Prec@1 37.500 (37.647) Prec@5 58.984 (63.516)
Epoch: [20][2210/5005] Time 0.336 (0.224) Data 0.253 (0.074) Loss 3.0165 (2.8539) Prec@1 37.500 (37.643) Prec@5 58.594 (63.509)
Epoch: [20][2220/5005] Time 0.192 (0.224) Data 0.087 (0.074) Loss 3.0416 (2.8539) Prec@1 34.766 (37.643) Prec@5 62.500 (63.511)
Epoch: [20][2230/5005] Time 0.203 (0.224) Data 0.040 (0.074) Loss 2.9276 (2.8540) Prec@1 36.328 (37.642) Prec@5 61.719 (63.502)
Epoch: [20][2240/5005] Time 0.203 (0.224) Data 0.041 (0.074) Loss 2.9245 (2.8543) Prec@1 36.719 (37.639) Prec@5 64.062 (63.500)
Epoch: [20][2250/5005] Time 0.431 (0.224) Data 0.341 (0.074) Loss 2.7143 (2.8546) Prec@1 39.062 (37.631) Prec@5 68.359 (63.495)
Epoch: [20][2260/5005] Time 0.199 (0.224) Data 0.049 (0.074) Loss 2.5949 (2.8540) Prec@1 41.797 (37.642) Prec@5 68.359 (63.504)
Epoch: [20][2270/5005] Time 0.208 (0.224) Data 0.050 (0.074) Loss 3.0658 (2.8539) Prec@1 33.594 (37.648) Prec@5 60.938 (63.506)
Epoch: [20][2280/5005] Time 0.203 (0.224) Data 0.046 (0.074) Loss 2.8103 (2.8537) Prec@1 39.453 (37.654) Prec@5 66.016 (63.513)
Epoch: [20][2290/5005] Time 0.324 (0.224) Data 0.241 (0.075) Loss 2.6053 (2.8536) Prec@1 44.922 (37.659) Prec@5 67.578 (63.518)
Epoch: [20][2300/5005] Time 0.206 (0.224) Data 0.059 (0.075) Loss 2.7003 (2.8536) Prec@1 39.062 (37.658) Prec@5 67.188 (63.518)
Epoch: [20][2310/5005] Time 0.199 (0.224) Data 0.086 (0.075) Loss 2.7422 (2.8534) Prec@1 40.234 (37.664) Prec@5 64.062 (63.522)
Epoch: [20][2320/5005] Time 0.200 (0.224) Data 0.048 (0.075) Loss 2.7602 (2.8534) Prec@1 39.453 (37.663) Prec@5 64.844 (63.526)
Epoch: [20][2330/5005] Time 0.208 (0.224) Data 0.049 (0.075) Loss 2.7798 (2.8532) Prec@1 41.797 (37.672) Prec@5 62.891 (63.525)
Epoch: [20][2340/5005] Time 0.204 (0.224) Data 0.045 (0.075) Loss 2.8674 (2.8532) Prec@1 36.328 (37.674) Prec@5 63.281 (63.526)
Epoch: [20][2350/5005] Time 0.348 (0.224) Data 0.264 (0.075) Loss 2.7221 (2.8531) Prec@1 44.531 (37.674) Prec@5 62.891 (63.526)
Epoch: [20][2360/5005] Time 0.307 (0.224) Data 0.223 (0.075) Loss 2.7514 (2.8533) Prec@1 41.406 (37.675) Prec@5 65.234 (63.527)
Epoch: [20][2370/5005] Time 0.203 (0.224) Data 0.047 (0.075) Loss 2.8803 (2.8533) Prec@1 32.422 (37.672) Prec@5 62.891 (63.526)
Epoch: [20][2380/5005] Time 0.348 (0.224) Data 0.264 (0.075) Loss 2.7392 (2.8532) Prec@1 42.188 (37.676) Prec@5 63.281 (63.527)
Epoch: [20][2390/5005] Time 0.195 (0.224) Data 0.053 (0.075) Loss 2.8371 (2.8529) Prec@1 36.719 (37.682) Prec@5 62.891 (63.525)
Epoch: [20][2400/5005] Time 0.197 (0.224) Data 0.055 (0.076) Loss 2.8199 (2.8531) Prec@1 37.109 (37.677) Prec@5 64.844 (63.523)
Epoch: [20][2410/5005] Time 0.232 (0.224) Data 0.148 (0.076) Loss 2.9313 (2.8532) Prec@1 35.938 (37.673) Prec@5 59.766 (63.517)
Epoch: [20][2420/5005] Time 0.197 (0.224) Data 0.049 (0.076) Loss 2.9526 (2.8532) Prec@1 33.984 (37.676) Prec@5 62.109 (63.522)
Epoch: [20][2430/5005] Time 0.212 (0.224) Data 0.046 (0.076) Loss 2.6798 (2.8533) Prec@1 42.578 (37.674) Prec@5 64.062 (63.513)
Epoch: [20][2440/5005] Time 0.209 (0.224) Data 0.049 (0.076) Loss 2.6337 (2.8534) Prec@1 44.922 (37.673) Prec@5 66.016 (63.511)
Epoch: [20][2450/5005] Time 0.205 (0.224) Data 0.045 (0.076) Loss 2.7681 (2.8532) Prec@1 37.891 (37.671) Prec@5 63.281 (63.515)
Epoch: [20][2460/5005] Time 0.205 (0.224) Data 0.043 (0.076) Loss 2.8452 (2.8529) Prec@1 36.719 (37.678) Prec@5 62.109 (63.519)
Epoch: [20][2470/5005] Time 0.193 (0.224) Data 0.114 (0.076) Loss 2.6657 (2.8528) Prec@1 39.844 (37.682) Prec@5 66.406 (63.521)
Epoch: [20][2480/5005] Time 0.200 (0.224) Data 0.061 (0.076) Loss 2.9373 (2.8529) Prec@1 39.453 (37.680) Prec@5 61.328 (63.521)
Epoch: [20][2490/5005] Time 0.201 (0.224) Data 0.046 (0.076) Loss 2.6287 (2.8529) Prec@1 42.969 (37.676) Prec@5 67.578 (63.520)
Epoch: [20][2500/5005] Time 0.205 (0.224) Data 0.049 (0.076) Loss 2.7980 (2.8528) Prec@1 39.844 (37.672) Prec@5 62.109 (63.522)
Epoch: [20][2510/5005] Time 0.523 (0.224) Data 0.440 (0.076) Loss 2.9823 (2.8531) Prec@1 37.500 (37.666) Prec@5 63.281 (63.520)
Epoch: [20][2520/5005] Time 0.368 (0.224) Data 0.282 (0.076) Loss 2.8797 (2.8532) Prec@1 37.500 (37.661) Prec@5 62.891 (63.517)
Epoch: [20][2530/5005] Time 0.200 (0.224) Data 0.056 (0.076) Loss 2.9587 (2.8531) Prec@1 32.031 (37.661) Prec@5 60.547 (63.516)
Epoch: [20][2540/5005] Time 0.237 (0.224) Data 0.143 (0.076) Loss 3.0416 (2.8531) Prec@1 34.375 (37.664) Prec@5 62.109 (63.521)
Epoch: [20][2550/5005] Time 0.201 (0.224) Data 0.049 (0.076) Loss 2.8166 (2.8530) Prec@1 34.375 (37.663) Prec@5 65.234 (63.523)
Epoch: [20][2560/5005] Time 0.201 (0.224) Data 0.046 (0.076) Loss 3.0586 (2.8532) Prec@1 33.984 (37.663) Prec@5 59.375 (63.522)
Epoch: [20][2570/5005] Time 0.199 (0.224) Data 0.046 (0.077) Loss 2.7249 (2.8533) Prec@1 42.578 (37.667) Prec@5 66.406 (63.522)
Epoch: [20][2580/5005] Time 0.578 (0.225) Data 0.499 (0.077) Loss 2.8745 (2.8536) Prec@1 41.016 (37.666) Prec@5 66.797 (63.516)
Epoch: [20][2590/5005] Time 0.196 (0.224) Data 0.055 (0.077) Loss 2.9560 (2.8533) Prec@1 37.891 (37.676) Prec@5 61.719 (63.521)
Epoch: [20][2600/5005] Time 0.206 (0.224) Data 0.044 (0.077) Loss 2.8855 (2.8535) Prec@1 38.281 (37.672) Prec@5 64.844 (63.517)
Epoch: [20][2610/5005] Time 0.204 (0.224) Data 0.044 (0.077) Loss 2.9811 (2.8534) Prec@1 36.719 (37.679) Prec@5 60.938 (63.520)
Epoch: [20][2620/5005] Time 0.550 (0.225) Data 0.463 (0.077) Loss 2.7130 (2.8534) Prec@1 37.500 (37.682) Prec@5 64.453 (63.523)
Epoch: [20][2630/5005] Time 0.203 (0.224) Data 0.047 (0.077) Loss 3.0281 (2.8537) Prec@1 36.328 (37.681) Prec@5 64.062 (63.520)
Epoch: [20][2640/5005] Time 0.201 (0.224) Data 0.041 (0.077) Loss 3.0765 (2.8538) Prec@1 31.641 (37.680) Prec@5 57.422 (63.516)
Epoch: [20][2650/5005] Time 0.206 (0.224) Data 0.043 (0.077) Loss 3.0967 (2.8539) Prec@1 32.031 (37.677) Prec@5 59.375 (63.513)
Epoch: [20][2660/5005] Time 0.594 (0.225) Data 0.507 (0.077) Loss 2.9007 (2.8539) Prec@1 35.156 (37.676) Prec@5 64.453 (63.512)
Epoch: [20][2670/5005] Time 0.289 (0.224) Data 0.212 (0.077) Loss 2.5567 (2.8536) Prec@1 42.578 (37.679) Prec@5 66.406 (63.517)
Epoch: [20][2680/5005] Time 0.200 (0.225) Data 0.050 (0.077) Loss 2.5982 (2.8536) Prec@1 43.750 (37.678) Prec@5 67.969 (63.518)
Epoch: [20][2690/5005] Time 0.200 (0.225) Data 0.054 (0.077) Loss 2.7915 (2.8536) Prec@1 41.797 (37.683) Prec@5 63.672 (63.517)
Epoch: [20][2700/5005] Time 0.196 (0.224) Data 0.106 (0.077) Loss 2.8595 (2.8537) Prec@1 36.328 (37.677) Prec@5 61.719 (63.518)
Epoch: [20][2710/5005] Time 0.205 (0.225) Data 0.046 (0.077) Loss 2.5823 (2.8538) Prec@1 42.578 (37.673) Prec@5 68.359 (63.514)
Epoch: [20][2720/5005] Time 0.195 (0.225) Data 0.043 (0.077) Loss 2.7323 (2.8539) Prec@1 41.406 (37.670) Prec@5 66.016 (63.515)
Epoch: [20][2730/5005] Time 0.205 (0.225) Data 0.048 (0.077) Loss 2.8579 (2.8537) Prec@1 38.672 (37.671) Prec@5 65.234 (63.520)
Epoch: [20][2740/5005] Time 0.201 (0.225) Data 0.062 (0.077) Loss 2.8850 (2.8537) Prec@1 37.500 (37.674) Prec@5 62.891 (63.518)
Epoch: [20][2750/5005] Time 0.203 (0.225) Data 0.049 (0.077) Loss 2.7815 (2.8535) Prec@1 35.156 (37.678) Prec@5 63.672 (63.520)
Epoch: [20][2760/5005] Time 0.208 (0.225) Data 0.046 (0.077) Loss 2.9061 (2.8535) Prec@1 34.375 (37.677) Prec@5 64.453 (63.524)
Epoch: [20][2770/5005] Time 0.196 (0.225) Data 0.060 (0.077) Loss 2.7229 (2.8536) Prec@1 40.625 (37.674) Prec@5 64.453 (63.522)
Epoch: [20][2780/5005] Time 0.196 (0.225) Data 0.047 (0.077) Loss 3.1098 (2.8536) Prec@1 33.594 (37.675) Prec@5 57.422 (63.522)
Epoch: [20][2790/5005] Time 0.193 (0.225) Data 0.044 (0.077) Loss 3.2146 (2.8538) Prec@1 30.859 (37.674) Prec@5 58.203 (63.521)
Epoch: [20][2800/5005] Time 0.214 (0.225) Data 0.042 (0.077) Loss 2.6555 (2.8538) Prec@1 44.141 (37.676) Prec@5 66.797 (63.521)
Epoch: [20][2810/5005] Time 0.440 (0.225) Data 0.357 (0.077) Loss 2.9722 (2.8536) Prec@1 35.547 (37.678) Prec@5 58.594 (63.522)
Epoch: [20][2820/5005] Time 0.200 (0.225) Data 0.049 (0.077) Loss 2.5134 (2.8535) Prec@1 40.625 (37.675) Prec@5 67.578 (63.521)
Epoch: [20][2830/5005] Time 0.208 (0.225) Data 0.046 (0.077) Loss 3.0334 (2.8535) Prec@1 35.156 (37.673) Prec@5 64.062 (63.520)
Epoch: [20][2840/5005] Time 0.199 (0.225) Data 0.046 (0.077) Loss 2.8774 (2.8534) Prec@1 34.375 (37.673) Prec@5 61.719 (63.525)
Epoch: [20][2850/5005] Time 0.323 (0.225) Data 0.243 (0.077) Loss 2.8725 (2.8532) Prec@1 40.234 (37.677) Prec@5 61.719 (63.528)
Epoch: [20][2860/5005] Time 0.201 (0.225) Data 0.050 (0.077) Loss 2.8226 (2.8534) Prec@1 38.281 (37.676) Prec@5 63.281 (63.526)
Epoch: [20][2870/5005] Time 0.205 (0.225) Data 0.118 (0.077) Loss 2.7334 (2.8532) Prec@1 40.234 (37.680) Prec@5 67.578 (63.534)
Epoch: [20][2880/5005] Time 0.343 (0.225) Data 0.255 (0.077) Loss 2.8516 (2.8532) Prec@1 37.109 (37.679) Prec@5 64.844 (63.535)
Epoch: [20][2890/5005] Time 0.203 (0.225) Data 0.047 (0.078) Loss 2.8966 (2.8531) Prec@1 35.547 (37.684) Prec@5 60.938 (63.537)
Epoch: [20][2900/5005] Time 0.205 (0.225) Data 0.054 (0.077) Loss 2.6649 (2.8529) Prec@1 39.453 (37.686) Prec@5 65.234 (63.541)
Epoch: [20][2910/5005] Time 0.204 (0.225) Data 0.044 (0.077) Loss 2.8331 (2.8531) Prec@1 38.281 (37.682) Prec@5 64.062 (63.541)
Epoch: [20][2920/5005] Time 0.192 (0.225) Data 0.048 (0.078) Loss 3.0195 (2.8531) Prec@1 34.375 (37.681) Prec@5 59.375 (63.543)
Epoch: [20][2930/5005] Time 0.203 (0.225) Data 0.092 (0.078) Loss 3.0371 (2.8533) Prec@1 32.422 (37.680) Prec@5 62.109 (63.538)
Epoch: [20][2940/5005] Time 0.208 (0.225) Data 0.044 (0.078) Loss 2.8128 (2.8533) Prec@1 38.281 (37.679) Prec@5 65.625 (63.539)
Epoch: [20][2950/5005] Time 0.198 (0.225) Data 0.052 (0.078) Loss 3.0588 (2.8532) Prec@1 33.984 (37.679) Prec@5 59.766 (63.541)
Epoch: [20][2960/5005] Time 0.204 (0.225) Data 0.041 (0.078) Loss 2.7655 (2.8531) Prec@1 40.625 (37.682) Prec@5 65.234 (63.541)
Epoch: [20][2970/5005] Time 0.197 (0.225) Data 0.050 (0.078) Loss 2.9173 (2.8529) Prec@1 36.328 (37.682) Prec@5 62.500 (63.546)
Epoch: [20][2980/5005] Time 0.203 (0.225) Data 0.046 (0.078) Loss 3.0355 (2.8531) Prec@1 34.766 (37.679) Prec@5 62.109 (63.545)
Epoch: [20][2990/5005] Time 0.202 (0.225) Data 0.042 (0.078) Loss 2.8072 (2.8532) Prec@1 36.719 (37.680) Prec@5 64.844 (63.543)
Epoch: [20][3000/5005] Time 0.205 (0.225) Data 0.044 (0.078) Loss 2.8876 (2.8531) Prec@1 35.547 (37.678) Prec@5 62.500 (63.544)
Epoch: [20][3010/5005] Time 0.450 (0.225) Data 0.364 (0.078) Loss 2.7213 (2.8532) Prec@1 39.062 (37.676) Prec@5 66.406 (63.543)
Epoch: [20][3020/5005] Time 0.208 (0.225) Data 0.049 (0.078) Loss 2.7654 (2.8534) Prec@1 39.062 (37.674) Prec@5 63.281 (63.538)
Epoch: [20][3030/5005] Time 0.193 (0.225) Data 0.103 (0.078) Loss 2.9792 (2.8536) Prec@1 39.844 (37.670) Prec@5 61.328 (63.535)
Epoch: [20][3040/5005] Time 0.197 (0.225) Data 0.045 (0.078) Loss 2.6306 (2.8534) Prec@1 44.141 (37.677) Prec@5 65.625 (63.537)
Epoch: [20][3050/5005] Time 0.209 (0.225) Data 0.056 (0.078) Loss 2.8657 (2.8535) Prec@1 33.594 (37.672) Prec@5 62.109 (63.535)
Epoch: [20][3060/5005] Time 0.203 (0.225) Data 0.049 (0.078) Loss 2.8705 (2.8534) Prec@1 40.625 (37.671) Prec@5 60.938 (63.535)
Epoch: [20][3070/5005] Time 0.197 (0.225) Data 0.050 (0.078) Loss 2.8967 (2.8535) Prec@1 35.938 (37.669) Prec@5 62.109 (63.535)
Epoch: [20][3080/5005] Time 0.203 (0.225) Data 0.046 (0.078) Loss 2.7555 (2.8535) Prec@1 42.188 (37.670) Prec@5 63.672 (63.534)
Epoch: [20][3090/5005] Time 1.171 (0.225) Data 1.083 (0.078) Loss 3.1599 (2.8536) Prec@1 31.641 (37.666) Prec@5 58.203 (63.532)
Epoch: [20][3100/5005] Time 0.202 (0.225) Data 0.047 (0.078) Loss 2.7900 (2.8536) Prec@1 40.625 (37.665) Prec@5 65.234 (63.533)
Epoch: [20][3110/5005] Time 0.204 (0.225) Data 0.040 (0.078) Loss 2.6058 (2.8534) Prec@1 42.578 (37.668) Prec@5 64.844 (63.535)
Epoch: [20][3120/5005] Time 0.208 (0.225) Data 0.038 (0.078) Loss 2.7835 (2.8535) Prec@1 39.844 (37.667) Prec@5 64.453 (63.532)
Epoch: [20][3130/5005] Time 0.321 (0.225) Data 0.239 (0.078) Loss 2.9152 (2.8535) Prec@1 35.938 (37.670) Prec@5 61.328 (63.531)
Epoch: [20][3140/5005] Time 0.200 (0.225) Data 0.090 (0.078) Loss 2.5224 (2.8533) Prec@1 44.922 (37.677) Prec@5 66.797 (63.534)
Epoch: [20][3150/5005] Time 0.199 (0.225) Data 0.054 (0.078) Loss 2.7636 (2.8531) Prec@1 38.281 (37.681) Prec@5 65.625 (63.536)
Epoch: [20][3160/5005] Time 0.203 (0.225) Data 0.040 (0.078) Loss 2.7248 (2.8532) Prec@1 38.672 (37.682) Prec@5 62.500 (63.536)
Epoch: [20][3170/5005] Time 0.328 (0.225) Data 0.238 (0.078) Loss 2.9829 (2.8533) Prec@1 34.375 (37.679) Prec@5 64.453 (63.536)
Epoch: [20][3180/5005] Time 0.216 (0.225) Data 0.046 (0.078) Loss 2.6962 (2.8533) Prec@1 42.188 (37.679) Prec@5 67.578 (63.534)
Epoch: [20][3190/5005] Time 0.209 (0.225) Data 0.047 (0.078) Loss 2.8935 (2.8534) Prec@1 39.062 (37.680) Prec@5 62.109 (63.533)
Epoch: [20][3200/5005] Time 0.201 (0.225) Data 0.047 (0.078) Loss 2.9188 (2.8534) Prec@1 35.156 (37.679) Prec@5 64.062 (63.535)
Epoch: [20][3210/5005] Time 0.204 (0.225) Data 0.040 (0.078) Loss 3.0372 (2.8535) Prec@1 35.938 (37.681) Prec@5 65.234 (63.538)
Epoch: [20][3220/5005] Time 0.202 (0.225) Data 0.044 (0.078) Loss 2.9061 (2.8537) Prec@1 36.328 (37.680) Prec@5 62.500 (63.533)
Epoch: [20][3230/5005] Time 0.212 (0.225) Data 0.044 (0.078) Loss 2.7954 (2.8535) Prec@1 38.281 (37.681) Prec@5 60.938 (63.536)
Epoch: [20][3240/5005] Time 0.202 (0.225) Data 0.048 (0.078) Loss 3.1271 (2.8540) Prec@1 34.766 (37.675) Prec@5 58.594 (63.527)
Epoch: [20][3250/5005] Time 0.203 (0.225) Data 0.044 (0.078) Loss 2.8255 (2.8541) Prec@1 42.578 (37.671) Prec@5 64.453 (63.526)
Epoch: [20][3260/5005] Time 1.265 (0.225) Data 1.186 (0.078) Loss 2.7658 (2.8541) Prec@1 41.016 (37.669) Prec@5 64.062 (63.523)
Epoch: [20][3270/5005] Time 0.379 (0.225) Data 0.296 (0.078) Loss 3.0785 (2.8540) Prec@1 39.062 (37.672) Prec@5 58.594 (63.528)
Epoch: [20][3280/5005] Time 0.194 (0.225) Data 0.048 (0.078) Loss 2.7225 (2.8542) Prec@1 40.625 (37.670) Prec@5 66.797 (63.527)
Epoch: [20][3290/5005] Time 0.198 (0.225) Data 0.045 (0.078) Loss 2.9362 (2.8541) Prec@1 34.375 (37.670) Prec@5 62.891 (63.531)
Epoch: [20][3300/5005] Time 0.196 (0.225) Data 0.046 (0.078) Loss 2.8818 (2.8542) Prec@1 38.281 (37.672) Prec@5 63.281 (63.529)
Epoch: [20][3310/5005] Time 0.204 (0.225) Data 0.043 (0.078) Loss 2.7302 (2.8542) Prec@1 39.453 (37.673) Prec@5 65.625 (63.528)
Epoch: [20][3320/5005] Time 0.200 (0.225) Data 0.048 (0.078) Loss 2.9851 (2.8543) Prec@1 33.594 (37.669) Prec@5 59.375 (63.528)
Epoch: [20][3330/5005] Time 0.202 (0.225) Data 0.049 (0.078) Loss 2.9141 (2.8544) Prec@1 36.719 (37.669) Prec@5 62.109 (63.528)
Epoch: [20][3340/5005] Time 0.203 (0.225) Data 0.044 (0.078) Loss 2.9909 (2.8545) Prec@1 34.766 (37.668) Prec@5 60.156 (63.530)
Epoch: [20][3350/5005] Time 0.213 (0.225) Data 0.044 (0.078) Loss 2.9512 (2.8545) Prec@1 35.547 (37.666) Prec@5 61.328 (63.529)
Epoch: [20][3360/5005] Time 0.212 (0.225) Data 0.046 (0.078) Loss 2.6567 (2.8544) Prec@1 42.969 (37.669) Prec@5 69.531 (63.534)
Epoch: [20][3370/5005] Time 0.200 (0.225) Data 0.045 (0.078) Loss 2.9256 (2.8544) Prec@1 33.594 (37.668) Prec@5 61.719 (63.531)
Epoch: [20][3380/5005] Time 0.358 (0.225) Data 0.278 (0.078) Loss 2.7770 (2.8543) Prec@1 37.109 (37.666) Prec@5 66.016 (63.532)
Epoch: [20][3390/5005] Time 0.209 (0.225) Data 0.045 (0.078) Loss 2.7680 (2.8545) Prec@1 41.797 (37.663) Prec@5 63.672 (63.528)
Epoch: [20][3400/5005] Time 0.200 (0.225) Data 0.052 (0.078) Loss 2.7590 (2.8547) Prec@1 35.938 (37.657) Prec@5 66.797 (63.525)
Epoch: [20][3410/5005] Time 0.596 (0.225) Data 0.504 (0.079) Loss 2.8108 (2.8546) Prec@1 41.797 (37.662) Prec@5 62.109 (63.526)
Epoch: [20][3420/5005] Time 0.210 (0.225) Data 0.043 (0.078) Loss 2.9127 (2.8546) Prec@1 35.547 (37.662) Prec@5 63.672 (63.525)
Epoch: [20][3430/5005] Time 0.200 (0.225) Data 0.045 (0.078) Loss 2.7914 (2.8547) Prec@1 40.234 (37.663) Prec@5 62.891 (63.523)
Epoch: [20][3440/5005] Time 0.198 (0.225) Data 0.093 (0.078) Loss 2.8704 (2.8546) Prec@1 39.453 (37.665) Prec@5 63.281 (63.525)
Epoch: [20][3450/5005] Time 0.310 (0.225) Data 0.230 (0.079) Loss 2.6997 (2.8546) Prec@1 38.672 (37.665) Prec@5 64.844 (63.527)
Epoch: [20][3460/5005] Time 0.300 (0.225) Data 0.224 (0.078) Loss 2.8094 (2.8547) Prec@1 39.453 (37.663) Prec@5 61.328 (63.527)
Epoch: [20][3470/5005] Time 0.201 (0.225) Data 0.053 (0.079) Loss 2.6573 (2.8545) Prec@1 43.359 (37.665) Prec@5 67.578 (63.532)
Epoch: [20][3480/5005] Time 0.193 (0.225) Data 0.051 (0.079) Loss 2.8640 (2.8543) Prec@1 40.234 (37.671) Prec@5 64.844 (63.536)
Epoch: [20][3490/5005] Time 0.201 (0.225) Data 0.042 (0.078) Loss 3.0625 (2.8545) Prec@1 32.031 (37.668) Prec@5 57.422 (63.532)
Epoch: [20][3500/5005] Time 0.211 (0.225) Data 0.042 (0.078) Loss 2.7202 (2.8546) Prec@1 41.016 (37.670) Prec@5 64.844 (63.532)
Epoch: [20][3510/5005] Time 0.204 (0.225) Data 0.043 (0.078) Loss 2.7688 (2.8545) Prec@1 39.062 (37.669) Prec@5 64.062 (63.534)
Epoch: [20][3520/5005] Time 0.250 (0.225) Data 0.174 (0.078) Loss 3.1805 (2.8547) Prec@1 32.031 (37.669) Prec@5 55.469 (63.530)
Epoch: [20][3530/5005] Time 0.194 (0.225) Data 0.050 (0.079) Loss 2.7925 (2.8545) Prec@1 40.234 (37.675) Prec@5 64.844 (63.535)
Epoch: [20][3540/5005] Time 0.197 (0.225) Data 0.045 (0.078) Loss 2.8577 (2.8543) Prec@1 38.281 (37.677) Prec@5 60.547 (63.536)
Epoch: [20][3550/5005] Time 0.208 (0.225) Data 0.045 (0.078) Loss 2.9585 (2.8542) Prec@1 36.328 (37.678) Prec@5 59.766 (63.539)
Epoch: [20][3560/5005] Time 0.209 (0.225) Data 0.050 (0.078) Loss 2.9352 (2.8543) Prec@1 33.984 (37.675) Prec@5 62.109 (63.537)
Epoch: [20][3570/5005] Time 0.201 (0.225) Data 0.041 (0.079) Loss 2.9862 (2.8542) Prec@1 35.156 (37.678) Prec@5 60.547 (63.536)
Epoch: [20][3580/5005] Time 0.203 (0.225) Data 0.043 (0.079) Loss 2.7891 (2.8543) Prec@1 37.500 (37.678) Prec@5 62.891 (63.534)
Epoch: [20][3590/5005] Time 0.204 (0.225) Data 0.051 (0.079) Loss 2.9294 (2.8540) Prec@1 37.109 (37.685) Prec@5 60.156 (63.539)
Epoch: [20][3600/5005] Time 0.386 (0.225) Data 0.308 (0.079) Loss 2.9630 (2.8539) Prec@1 37.109 (37.687) Prec@5 63.672 (63.538)
Epoch: [20][3610/5005] Time 0.197 (0.225) Data 0.053 (0.079) Loss 2.7512 (2.8540) Prec@1 39.453 (37.687) Prec@5 61.719 (63.535)
Epoch: [20][3620/5005] Time 0.201 (0.225) Data 0.048 (0.079) Loss 2.9820 (2.8538) Prec@1 37.500 (37.690) Prec@5 61.719 (63.539)
Epoch: [20][3630/5005] Time 0.214 (0.225) Data 0.042 (0.079) Loss 3.0152 (2.8538) Prec@1 35.547 (37.690) Prec@5 57.422 (63.538)
Epoch: [20][3640/5005] Time 0.196 (0.225) Data 0.044 (0.079) Loss 2.7862 (2.8538) Prec@1 37.500 (37.691) Prec@5 62.891 (63.539)
Epoch: [20][3650/5005] Time 0.256 (0.225) Data 0.175 (0.079) Loss 2.6851 (2.8539) Prec@1 41.797 (37.689) Prec@5 64.844 (63.536)
Epoch: [20][3660/5005] Time 0.206 (0.225) Data 0.050 (0.079) Loss 2.9923 (2.8538) Prec@1 32.422 (37.689) Prec@5 61.719 (63.539)
Epoch: [20][3670/5005] Time 0.352 (0.225) Data 0.265 (0.079) Loss 2.8708 (2.8539) Prec@1 38.281 (37.689) Prec@5 62.891 (63.537)
Epoch: [20][3680/5005] Time 0.201 (0.225) Data 0.044 (0.079) Loss 2.8717 (2.8539) Prec@1 32.812 (37.687) Prec@5 65.234 (63.534)
Epoch: [20][3690/5005] Time 0.211 (0.225) Data 0.047 (0.079) Loss 2.8140 (2.8540) Prec@1 34.766 (37.687) Prec@5 64.453 (63.533)
Epoch: [20][3700/5005] Time 0.219 (0.225) Data 0.047 (0.079) Loss 2.9289 (2.8541) Prec@1 35.938 (37.685) Prec@5 63.672 (63.532)
Epoch: [20][3710/5005] Time 0.199 (0.225) Data 0.056 (0.079) Loss 2.6658 (2.8542) Prec@1 40.234 (37.684) Prec@5 66.016 (63.531)
Epoch: [20][3720/5005] Time 0.200 (0.225) Data 0.046 (0.079) Loss 3.0833 (2.8542) Prec@1 34.375 (37.684) Prec@5 62.500 (63.532)
Epoch: [20][3730/5005] Time 0.205 (0.225) Data 0.055 (0.079) Loss 2.7924 (2.8542) Prec@1 41.406 (37.682) Prec@5 66.016 (63.529)
Epoch: [20][3740/5005] Time 0.208 (0.225) Data 0.121 (0.079) Loss 2.7808 (2.8539) Prec@1 38.281 (37.687) Prec@5 66.797 (63.535)
Epoch: [20][3750/5005] Time 0.192 (0.225) Data 0.061 (0.079) Loss 2.7865 (2.8540) Prec@1 36.719 (37.685) Prec@5 64.453 (63.531)
Epoch: [20][3760/5005] Time 0.198 (0.225) Data 0.059 (0.079) Loss 2.9586 (2.8542) Prec@1 36.719 (37.684) Prec@5 61.328 (63.527)
Epoch: [20][3770/5005] Time 0.201 (0.225) Data 0.046 (0.079) Loss 2.9990 (2.8541) Prec@1 37.891 (37.686) Prec@5 61.328 (63.529)
Epoch: [20][3780/5005] Time 0.197 (0.225) Data 0.050 (0.079) Loss 2.9086 (2.8541) Prec@1 38.281 (37.689) Prec@5 61.719 (63.530)
Epoch: [20][3790/5005] Time 0.443 (0.225) Data 0.366 (0.079) Loss 2.9860 (2.8540) Prec@1 32.031 (37.689) Prec@5 61.328 (63.532)
Epoch: [20][3800/5005] Time 0.208 (0.225) Data 0.050 (0.079) Loss 2.7444 (2.8542) Prec@1 41.797 (37.686) Prec@5 64.844 (63.529)
Epoch: [20][3810/5005] Time 0.207 (0.225) Data 0.081 (0.079) Loss 2.7837 (2.8542) Prec@1 37.500 (37.685) Prec@5 66.406 (63.530)
Epoch: [20][3820/5005] Time 0.203 (0.225) Data 0.100 (0.079) Loss 2.7604 (2.8541) Prec@1 40.234 (37.687) Prec@5 66.406 (63.534)
Epoch: [20][3830/5005] Time 0.201 (0.225) Data 0.039 (0.079) Loss 2.8927 (2.8539) Prec@1 37.891 (37.690) Prec@5 61.719 (63.537)
Epoch: [20][3840/5005] Time 0.203 (0.225) Data 0.045 (0.079) Loss 3.1751 (2.8541) Prec@1 28.906 (37.686) Prec@5 53.516 (63.532)
Epoch: [20][3850/5005] Time 0.198 (0.225) Data 0.115 (0.079) Loss 2.8104 (2.8541) Prec@1 39.062 (37.686) Prec@5 60.938 (63.535)
Epoch: [20][3860/5005] Time 0.193 (0.225) Data 0.105 (0.079) Loss 2.6984 (2.8542) Prec@1 42.578 (37.684) Prec@5 68.359 (63.534)
Epoch: [20][3870/5005] Time 0.207 (0.225) Data 0.050 (0.079) Loss 2.9650 (2.8543) Prec@1 35.156 (37.681) Prec@5 61.719 (63.530)
Epoch: [20][3880/5005] Time 0.198 (0.225) Data 0.049 (0.079) Loss 2.7076 (2.8545) Prec@1 40.625 (37.680) Prec@5 64.062 (63.527)
Epoch: [20][3890/5005] Time 0.208 (0.225) Data 0.042 (0.079) Loss 3.0604 (2.8545) Prec@1 32.812 (37.680) Prec@5 62.109 (63.525)
Epoch: [20][3900/5005] Time 0.190 (0.225) Data 0.044 (0.079) Loss 3.2148 (2.8548) Prec@1 30.469 (37.675) Prec@5 55.859 (63.520)
Epoch: [20][3910/5005] Time 0.194 (0.225) Data 0.042 (0.079) Loss 2.9686 (2.8548) Prec@1 35.547 (37.674) Prec@5 61.328 (63.518)
Epoch: [20][3920/5005] Time 0.188 (0.225) Data 0.055 (0.079) Loss 2.7706 (2.8548) Prec@1 40.234 (37.676) Prec@5 64.844 (63.517)
Epoch: [20][3930/5005] Time 0.199 (0.225) Data 0.040 (0.079) Loss 2.7549 (2.8546) Prec@1 39.844 (37.679) Prec@5 64.453 (63.520)
Epoch: [20][3940/5005] Time 0.261 (0.225) Data 0.176 (0.079) Loss 2.7415 (2.8546) Prec@1 40.234 (37.679) Prec@5 65.625 (63.519)
Epoch: [20][3950/5005] Time 0.202 (0.225) Data 0.044 (0.079) Loss 2.8611 (2.8544) Prec@1 38.281 (37.682) Prec@5 63.672 (63.521)
Epoch: [20][3960/5005] Time 0.416 (0.225) Data 0.337 (0.079) Loss 2.6959 (2.8545) Prec@1 42.578 (37.681) Prec@5 65.234 (63.520)
Epoch: [20][3970/5005] Time 0.203 (0.225) Data 0.042 (0.079) Loss 2.8552 (2.8545) Prec@1 35.156 (37.681) Prec@5 64.062 (63.519)
Epoch: [20][3980/5005] Time 0.201 (0.225) Data 0.082 (0.079) Loss 2.7092 (2.8545) Prec@1 38.281 (37.683) Prec@5 65.625 (63.521)
Epoch: [20][3990/5005] Time 0.204 (0.225) Data 0.041 (0.079) Loss 2.9637 (2.8546) Prec@1 37.500 (37.679) Prec@5 62.500 (63.522)
Epoch: [20][4000/5005] Time 0.200 (0.225) Data 0.043 (0.079) Loss 2.8673 (2.8546) Prec@1 35.547 (37.678) Prec@5 62.891 (63.522)
Epoch: [20][4010/5005] Time 0.210 (0.225) Data 0.042 (0.079) Loss 3.0056 (2.8544) Prec@1 38.281 (37.678) Prec@5 61.719 (63.527)
Epoch: [20][4020/5005] Time 0.204 (0.225) Data 0.043 (0.079) Loss 2.9981 (2.8545) Prec@1 37.500 (37.676) Prec@5 61.328 (63.524)
Epoch: [20][4030/5005] Time 0.203 (0.225) Data 0.045 (0.079) Loss 3.1056 (2.8548) Prec@1 35.156 (37.675) Prec@5 60.938 (63.521)
Epoch: [20][4040/5005] Time 0.303 (0.225) Data 0.223 (0.079) Loss 2.8916 (2.8551) Prec@1 39.453 (37.670) Prec@5 64.062 (63.516)
Epoch: [20][4050/5005] Time 0.211 (0.225) Data 0.043 (0.079) Loss 3.1161 (2.8550) Prec@1 30.859 (37.672) Prec@5 55.469 (63.516)
Epoch: [20][4060/5005] Time 0.199 (0.225) Data 0.046 (0.079) Loss 2.8791 (2.8550) Prec@1 37.500 (37.671) Prec@5 59.766 (63.517)
Epoch: [20][4070/5005] Time 0.194 (0.225) Data 0.052 (0.079) Loss 2.9759 (2.8551) Prec@1 35.938 (37.670) Prec@5 62.500 (63.517)
Epoch: [20][4080/5005] Time 0.200 (0.225) Data 0.085 (0.079) Loss 2.9250 (2.8551) Prec@1 35.938 (37.671) Prec@5 62.891 (63.518)
Epoch: [20][4090/5005] Time 0.202 (0.225) Data 0.041 (0.079) Loss 2.8192 (2.8551) Prec@1 39.844 (37.672) Prec@5 64.453 (63.519)
Epoch: [20][4100/5005] Time 0.205 (0.225) Data 0.041 (0.079) Loss 2.8675 (2.8552) Prec@1 37.891 (37.672) Prec@5 64.062 (63.518)
Epoch: [20][4110/5005] Time 0.204 (0.225) Data 0.049 (0.079) Loss 3.1312 (2.8552) Prec@1 28.516 (37.670) Prec@5 59.375 (63.519)
Epoch: [20][4120/5005] Time 0.216 (0.225) Data 0.134 (0.079) Loss 3.0506 (2.8551) Prec@1 35.156 (37.671) Prec@5 61.719 (63.519)
Epoch: [20][4130/5005] Time 0.200 (0.225) Data 0.044 (0.079) Loss 3.0842 (2.8551) Prec@1 34.375 (37.670) Prec@5 60.156 (63.521)
Epoch: [20][4140/5005] Time 0.207 (0.225) Data 0.057 (0.079) Loss 2.8904 (2.8551) Prec@1 37.109 (37.669) Prec@5 62.891 (63.520)
Epoch: [20][4150/5005] Time 0.195 (0.225) Data 0.058 (0.079) Loss 3.0713 (2.8551) Prec@1 35.547 (37.668) Prec@5 62.109 (63.519)
Epoch: [20][4160/5005] Time 0.204 (0.225) Data 0.098 (0.079) Loss 2.7849 (2.8553) Prec@1 40.234 (37.667) Prec@5 67.188 (63.517)
Epoch: [20][4170/5005] Time 0.195 (0.225) Data 0.055 (0.079) Loss 2.9019 (2.8553) Prec@1 33.984 (37.666) Prec@5 61.719 (63.520)
Epoch: [20][4180/5005] Time 0.194 (0.225) Data 0.108 (0.080) Loss 2.7887 (2.8553) Prec@1 41.016 (37.668) Prec@5 67.969 (63.519)
Epoch: [20][4190/5005] Time 0.523 (0.225) Data 0.443 (0.080) Loss 2.7598 (2.8553) Prec@1 42.188 (37.670) Prec@5 64.844 (63.516)
Epoch: [20][4200/5005] Time 0.299 (0.225) Data 0.216 (0.080) Loss 2.8013 (2.8553) Prec@1 37.500 (37.670) Prec@5 60.547 (63.516)
Epoch: [20][4210/5005] Time 0.204 (0.225) Data 0.040 (0.080) Loss 2.8084 (2.8553) Prec@1 37.109 (37.669) Prec@5 62.891 (63.515)
Epoch: [20][4220/5005] Time 0.203 (0.225) Data 0.067 (0.080) Loss 3.0426 (2.8554) Prec@1 36.328 (37.668) Prec@5 64.844 (63.515)
Epoch: [20][4230/5005] Time 0.195 (0.225) Data 0.051 (0.080) Loss 2.8955 (2.8554) Prec@1 38.672 (37.667) Prec@5 60.938 (63.513)
Epoch: [20][4240/5005] Time 0.199 (0.225) Data 0.053 (0.080) Loss 2.6568 (2.8555) Prec@1 40.234 (37.666) Prec@5 69.531 (63.512)
Epoch: [20][4250/5005] Time 0.195 (0.225) Data 0.050 (0.080) Loss 2.7214 (2.8553) Prec@1 39.453 (37.668) Prec@5 67.969 (63.514)
Epoch: [20][4260/5005] Time 0.204 (0.225) Data 0.041 (0.080) Loss 2.8465 (2.8553) Prec@1 34.375 (37.665) Prec@5 62.500 (63.515)
Epoch: [20][4270/5005] Time 0.216 (0.225) Data 0.045 (0.080) Loss 3.0591 (2.8554) Prec@1 36.719 (37.666) Prec@5 61.328 (63.514)
Epoch: [20][4280/5005] Time 0.211 (0.225) Data 0.046 (0.080) Loss 3.0146 (2.8554) Prec@1 35.156 (37.665) Prec@5 60.156 (63.513)
Epoch: [20][4290/5005] Time 0.200 (0.225) Data 0.039 (0.080) Loss 3.0319 (2.8555) Prec@1 38.281 (37.663) Prec@5 61.719 (63.512)
Epoch: [20][4300/5005] Time 0.548 (0.225) Data 0.451 (0.080) Loss 2.5904 (2.8553) Prec@1 39.844 (37.665) Prec@5 70.312 (63.519)
Epoch: [20][4310/5005] Time 0.193 (0.225) Data 0.092 (0.080) Loss 2.6537 (2.8554) Prec@1 41.016 (37.666) Prec@5 67.578 (63.520)
Epoch: [20][4320/5005] Time 0.199 (0.225) Data 0.057 (0.080) Loss 2.8480 (2.8555) Prec@1 39.062 (37.665) Prec@5 60.547 (63.514)
Epoch: [20][4330/5005] Time 0.195 (0.225) Data 0.053 (0.080) Loss 2.5926 (2.8554) Prec@1 43.750 (37.665) Prec@5 67.578 (63.515)
Epoch: [20][4340/5005] Time 0.209 (0.225) Data 0.046 (0.080) Loss 2.9229 (2.8555) Prec@1 37.500 (37.662) Prec@5 63.672 (63.515)
Epoch: [20][4350/5005] Time 0.203 (0.225) Data 0.041 (0.080) Loss 2.9039 (2.8554) Prec@1 39.844 (37.663) Prec@5 66.016 (63.518)
Epoch: [20][4360/5005] Time 0.198 (0.225) Data 0.093 (0.080) Loss 2.8453 (2.8554) Prec@1 37.500 (37.664) Prec@5 61.328 (63.518)
Epoch: [20][4370/5005] Time 0.203 (0.225) Data 0.040 (0.080) Loss 2.7739 (2.8553) Prec@1 38.672 (37.666) Prec@5 69.141 (63.519)
Epoch: [20][4380/5005] Time 0.192 (0.225) Data 0.046 (0.080) Loss 2.8808 (2.8553) Prec@1 33.594 (37.667) Prec@5 64.844 (63.520)
Epoch: [20][4390/5005] Time 0.202 (0.225) Data 0.041 (0.080) Loss 2.9019 (2.8551) Prec@1 35.938 (37.669) Prec@5 62.500 (63.525)
Epoch: [20][4400/5005] Time 0.197 (0.225) Data 0.049 (0.080) Loss 2.8925 (2.8552) Prec@1 37.891 (37.671) Prec@5 62.500 (63.523)
Epoch: [20][4410/5005] Time 0.197 (0.225) Data 0.053 (0.080) Loss 2.9110 (2.8551) Prec@1 36.328 (37.672) Prec@5 62.891 (63.521)
Epoch: [20][4420/5005] Time 0.188 (0.225) Data 0.096 (0.080) Loss 2.5608 (2.8550) Prec@1 43.750 (37.672) Prec@5 70.703 (63.523)
Epoch: [20][4430/5005] Time 0.193 (0.225) Data 0.046 (0.080) Loss 2.8764 (2.8548) Prec@1 33.203 (37.678) Prec@5 62.109 (63.527)
Epoch: [20][4440/5005] Time 0.196 (0.225) Data 0.051 (0.080) Loss 2.8476 (2.8548) Prec@1 38.281 (37.678) Prec@5 62.500 (63.528)
Epoch: [20][4450/5005] Time 0.202 (0.225) Data 0.045 (0.080) Loss 2.6381 (2.8549) Prec@1 41.406 (37.675) Prec@5 66.016 (63.524)
Epoch: [20][4460/5005] Time 0.192 (0.225) Data 0.048 (0.080) Loss 2.9789 (2.8547) Prec@1 35.938 (37.676) Prec@5 60.156 (63.527)
Epoch: [20][4470/5005] Time 0.417 (0.225) Data 0.329 (0.080) Loss 2.7840 (2.8547) Prec@1 35.938 (37.677) Prec@5 63.281 (63.526)
Epoch: [20][4480/5005] Time 0.196 (0.225) Data 0.045 (0.080) Loss 2.6128 (2.8548) Prec@1 41.016 (37.674) Prec@5 67.969 (63.524)
Epoch: [20][4490/5005] Time 0.207 (0.225) Data 0.042 (0.080) Loss 2.7972 (2.8551) Prec@1 37.500 (37.669) Prec@5 67.969 (63.520)
Epoch: [20][4500/5005] Time 0.196 (0.225) Data 0.084 (0.080) Loss 2.7418 (2.8551) Prec@1 42.969 (37.671) Prec@5 66.016 (63.520)
Epoch: [20][4510/5005] Time 0.363 (0.225) Data 0.273 (0.080) Loss 2.6789 (2.8551) Prec@1 40.625 (37.668) Prec@5 66.797 (63.519)
Epoch: [20][4520/5005] Time 0.197 (0.225) Data 0.049 (0.080) Loss 2.8919 (2.8550) Prec@1 36.328 (37.668) Prec@5 65.625 (63.521)
Epoch: [20][4530/5005] Time 0.303 (0.225) Data 0.211 (0.080) Loss 2.6658 (2.8550) Prec@1 40.234 (37.670) Prec@5 69.922 (63.524)
Epoch: [20][4540/5005] Time 0.360 (0.225) Data 0.273 (0.080) Loss 2.9475 (2.8552) Prec@1 35.938 (37.667) Prec@5 61.328 (63.522)
Epoch: [20][4550/5005] Time 0.204 (0.225) Data 0.041 (0.080) Loss 2.7523 (2.8552) Prec@1 42.969 (37.668) Prec@5 64.844 (63.522)
Epoch: [20][4560/5005] Time 0.568 (0.225) Data 0.484 (0.080) Loss 2.7464 (2.8552) Prec@1 42.188 (37.669) Prec@5 65.234 (63.522)
Epoch: [20][4570/5005] Time 0.194 (0.225) Data 0.058 (0.080) Loss 2.9341 (2.8550) Prec@1 38.672 (37.671) Prec@5 63.281 (63.523)
Epoch: [20][4580/5005] Time 0.256 (0.225) Data 0.168 (0.080) Loss 2.9676 (2.8550) Prec@1 33.203 (37.671) Prec@5 62.891 (63.526)
Epoch: [20][4590/5005] Time 0.200 (0.225) Data 0.044 (0.080) Loss 2.6502 (2.8551) Prec@1 43.359 (37.666) Prec@5 66.016 (63.524)
Epoch: [20][4600/5005] Time 0.197 (0.225) Data 0.039 (0.080) Loss 2.6938 (2.8551) Prec@1 41.016 (37.667) Prec@5 67.969 (63.525)
Epoch: [20][4610/5005] Time 0.198 (0.225) Data 0.050 (0.080) Loss 2.6985 (2.8551) Prec@1 37.500 (37.668) Prec@5 66.406 (63.524)
Epoch: [20][4620/5005] Time 0.199 (0.225) Data 0.063 (0.080) Loss 2.7431 (2.8550) Prec@1 40.234 (37.668) Prec@5 64.844 (63.523)
Epoch: [20][4630/5005] Time 0.198 (0.225) Data 0.052 (0.080) Loss 2.5934 (2.8549) Prec@1 44.141 (37.667) Prec@5 67.578 (63.525)
Epoch: [20][4640/5005] Time 0.208 (0.225) Data 0.046 (0.080) Loss 3.0039 (2.8549) Prec@1 36.328 (37.667) Prec@5 63.672 (63.526)
Epoch: [20][4650/5005] Time 0.203 (0.225) Data 0.048 (0.080) Loss 2.7969 (2.8549) Prec@1 36.719 (37.668) Prec@5 65.234 (63.526)
Epoch: [20][4660/5005] Time 0.201 (0.225) Data 0.049 (0.080) Loss 3.1172 (2.8550) Prec@1 35.156 (37.669) Prec@5 57.422 (63.527)
Epoch: [20][4670/5005] Time 0.206 (0.225) Data 0.042 (0.080) Loss 2.5846 (2.8548) Prec@1 41.406 (37.671) Prec@5 69.531 (63.531)
Epoch: [20][4680/5005] Time 0.196 (0.225) Data 0.048 (0.080) Loss 2.8793 (2.8548) Prec@1 37.500 (37.670) Prec@5 66.016 (63.530)
Epoch: [20][4690/5005] Time 0.200 (0.225) Data 0.051 (0.080) Loss 2.8375 (2.8548) Prec@1 37.500 (37.670) Prec@5 64.453 (63.530)
Epoch: [20][4700/5005] Time 0.197 (0.225) Data 0.044 (0.080) Loss 2.7339 (2.8549) Prec@1 41.797 (37.669) Prec@5 68.359 (63.530)
Epoch: [20][4710/5005] Time 0.201 (0.225) Data 0.049 (0.080) Loss 2.8438 (2.8548) Prec@1 39.062 (37.672) Prec@5 61.328 (63.531)
Epoch: [20][4720/5005] Time 0.206 (0.225) Data 0.094 (0.080) Loss 2.5405 (2.8547) Prec@1 42.969 (37.672) Prec@5 68.750 (63.530)
Epoch: [20][4730/5005] Time 0.204 (0.225) Data 0.052 (0.080) Loss 2.7745 (2.8549) Prec@1 42.578 (37.669) Prec@5 65.625 (63.528)
Epoch: [20][4740/5005] Time 0.203 (0.225) Data 0.042 (0.080) Loss 2.7643 (2.8548) Prec@1 37.109 (37.670) Prec@5 62.891 (63.529)
Epoch: [20][4750/5005] Time 0.195 (0.225) Data 0.064 (0.080) Loss 2.8205 (2.8548) Prec@1 36.328 (37.669) Prec@5 65.234 (63.531)
Epoch: [20][4760/5005] Time 0.204 (0.225) Data 0.047 (0.080) Loss 3.2240 (2.8547) Prec@1 30.469 (37.671) Prec@5 57.812 (63.532)
Epoch: [20][4770/5005] Time 0.201 (0.225) Data 0.045 (0.080) Loss 2.9269 (2.8546) Prec@1 34.766 (37.671) Prec@5 61.719 (63.534)
Epoch: [20][4780/5005] Time 0.197 (0.225) Data 0.058 (0.080) Loss 2.9626 (2.8546) Prec@1 40.625 (37.673) Prec@5 61.719 (63.534)
Epoch: [20][4790/5005] Time 0.212 (0.225) Data 0.047 (0.080) Loss 3.1023 (2.8547) Prec@1 37.109 (37.674) Prec@5 58.984 (63.533)
Epoch: [20][4800/5005] Time 0.202 (0.225) Data 0.044 (0.080) Loss 2.8523 (2.8546) Prec@1 34.766 (37.673) Prec@5 63.672 (63.534)
Epoch: [20][4810/5005] Time 0.195 (0.225) Data 0.046 (0.080) Loss 2.8934 (2.8545) Prec@1 39.844 (37.674) Prec@5 64.453 (63.535)
Epoch: [20][4820/5005] Time 0.288 (0.225) Data 0.205 (0.080) Loss 2.9751 (2.8543) Prec@1 37.891 (37.678) Prec@5 60.938 (63.540)
Epoch: [20][4830/5005] Time 0.200 (0.225) Data 0.082 (0.080) Loss 2.8085 (2.8542) Prec@1 36.719 (37.680) Prec@5 64.844 (63.543)
Epoch: [20][4840/5005] Time 0.203 (0.225) Data 0.039 (0.080) Loss 2.6442 (2.8543) Prec@1 42.969 (37.679) Prec@5 65.234 (63.542)
Epoch: [20][4850/5005] Time 0.205 (0.225) Data 0.041 (0.080) Loss 2.8547 (2.8545) Prec@1 35.938 (37.675) Prec@5 64.062 (63.539)
Epoch: [20][4860/5005] Time 0.201 (0.225) Data 0.040 (0.080) Loss 2.8885 (2.8545) Prec@1 35.547 (37.674) Prec@5 62.109 (63.537)
Epoch: [20][4870/5005] Time 0.210 (0.225) Data 0.042 (0.080) Loss 2.7168 (2.8546) Prec@1 40.625 (37.673) Prec@5 66.406 (63.535)
Epoch: [20][4880/5005] Time 0.427 (0.225) Data 0.343 (0.080) Loss 2.7002 (2.8545) Prec@1 38.672 (37.675) Prec@5 62.891 (63.537)
Epoch: [20][4890/5005] Time 0.207 (0.225) Data 0.040 (0.080) Loss 2.7748 (2.8545) Prec@1 43.750 (37.676) Prec@5 64.062 (63.536)
Epoch: [20][4900/5005] Time 0.206 (0.225) Data 0.040 (0.080) Loss 2.7643 (2.8545) Prec@1 39.453 (37.677) Prec@5 65.625 (63.537)
Epoch: [20][4910/5005] Time 0.201 (0.225) Data 0.046 (0.080) Loss 2.7958 (2.8544) Prec@1 36.719 (37.679) Prec@5 68.750 (63.539)
Epoch: [20][4920/5005] Time 0.198 (0.225) Data 0.046 (0.080) Loss 2.8236 (2.8544) Prec@1 35.938 (37.679) Prec@5 60.938 (63.541)
Epoch: [20][4930/5005] Time 0.188 (0.225) Data 0.097 (0.080) Loss 2.9937 (2.8544) Prec@1 34.766 (37.676) Prec@5 59.375 (63.542)
Epoch: [20][4940/5005] Time 0.200 (0.225) Data 0.096 (0.080) Loss 2.8590 (2.8545) Prec@1 34.375 (37.675) Prec@5 63.672 (63.539)
Epoch: [20][4950/5005] Time 0.237 (0.225) Data 0.155 (0.080) Loss 2.6219 (2.8546) Prec@1 37.891 (37.673) Prec@5 69.141 (63.539)
Epoch: [20][4960/5005] Time 0.195 (0.225) Data 0.109 (0.080) Loss 2.8728 (2.8546) Prec@1 38.281 (37.672) Prec@5 64.453 (63.542)
Epoch: [20][4970/5005] Time 0.198 (0.225) Data 0.049 (0.080) Loss 2.9095 (2.8546) Prec@1 34.375 (37.671) Prec@5 63.672 (63.542)
Epoch: [20][4980/5005] Time 0.195 (0.225) Data 0.052 (0.080) Loss 2.9946 (2.8546) Prec@1 36.328 (37.672) Prec@5 60.938 (63.543)
Epoch: [20][4990/5005] Time 0.200 (0.225) Data 0.032 (0.080) Loss 3.0241 (2.8546) Prec@1 32.031 (37.673) Prec@5 58.203 (63.544)
Epoch: [20][5000/5005] Time 0.204 (0.225) Data 0.033 (0.080) Loss 2.9679 (2.8546) Prec@1 34.766 (37.670) Prec@5 61.328 (63.545)
Test: [0/196] Time 2.551 (2.551) Loss 2.7982 (2.7982) Prec@1 42.188 (42.188) Prec@5 66.797 (66.797)
Test: [10/196] Time 0.043 (0.404) Loss 2.7843 (2.9101) Prec@1 40.625 (37.251) Prec@5 64.062 (62.003)
Test: [20/196] Time 0.048 (0.298) Loss 2.8730 (2.9188) Prec@1 38.672 (36.905) Prec@5 59.766 (62.147)
Test: [30/196] Time 0.194 (0.267) Loss 2.8452 (2.9342) Prec@1 37.500 (36.505) Prec@5 61.719 (61.656)
Test: [40/196] Time 0.939 (0.273) Loss 2.6582 (2.9350) Prec@1 39.844 (36.652) Prec@5 66.016 (61.747)
Test: [50/196] Time 0.153 (0.261) Loss 2.9910 (2.9392) Prec@1 34.766 (36.650) Prec@5 64.453 (61.895)
Test: [60/196] Time 0.178 (0.248) Loss 2.7752 (2.9227) Prec@1 42.578 (36.949) Prec@5 62.109 (62.084)
Test: [70/196] Time 0.123 (0.242) Loss 2.8630 (2.9139) Prec@1 39.844 (36.900) Prec@5 61.719 (62.263)
Test: [80/196] Time 0.270 (0.246) Loss 2.6831 (2.9171) Prec@1 41.016 (36.960) Prec@5 66.797 (62.273)
Test: [90/196] Time 0.373 (0.244) Loss 3.0270 (2.9191) Prec@1 38.281 (36.921) Prec@5 62.500 (62.247)
Test: [100/196] Time 0.045 (0.240) Loss 3.0723 (2.9188) Prec@1 35.938 (36.951) Prec@5 60.547 (62.256)
Test: [110/196] Time 0.045 (0.236) Loss 3.1412 (2.9210) Prec@1 34.766 (36.888) Prec@5 60.547 (62.321)
Test: [120/196] Time 0.158 (0.234) Loss 2.7799 (2.9198) Prec@1 39.062 (36.870) Prec@5 66.797 (62.419)
Test: [130/196] Time 0.494 (0.235) Loss 2.6203 (2.9139) Prec@1 43.359 (37.044) Prec@5 68.750 (62.572)
Test: [140/196] Time 0.096 (0.234) Loss 2.7175 (2.9158) Prec@1 43.750 (37.065) Prec@5 65.234 (62.470)
Test: [150/196] Time 0.043 (0.232) Loss 2.5545 (2.9123) Prec@1 39.453 (37.133) Prec@5 67.578 (62.492)
Test: [160/196] Time 0.043 (0.233) Loss 2.8621 (2.9107) Prec@1 41.016 (37.165) Prec@5 63.281 (62.490)
Test: [170/196] Time 0.400 (0.233) Loss 2.7085 (2.9111) Prec@1 40.234 (37.178) Prec@5 66.406 (62.466)
Test: [180/196] Time 0.563 (0.233) Loss 3.1396 (2.9166) Prec@1 32.812 (37.068) Prec@5 57.422 (62.325)
Test: [190/196] Time 0.043 (0.232) Loss 3.1661 (2.9190) Prec@1 33.594 (37.009) Prec@5 53.906 (62.210)
* Prec@1 36.988 Prec@5 62.216
Learning rate: 0.001
Epoch: [21][0/5005] Time 2.034 (2.034) Data 1.936 (1.936) Loss 2.7571 (2.7571) Prec@1 40.625 (40.625) Prec@5 67.188 (67.188)
Epoch: [21][10/5005] Time 0.202 (0.369) Data 0.047 (0.219) Loss 2.7929 (2.8534) Prec@1 39.062 (37.926) Prec@5 64.844 (64.524)
Epoch: [21][20/5005] Time 0.199 (0.289) Data 0.060 (0.137) Loss 2.9271 (2.8485) Prec@1 39.062 (37.723) Prec@5 61.719 (64.062)
Epoch: [21][30/5005] Time 0.198 (0.261) Data 0.043 (0.107) Loss 2.8146 (2.8236) Prec@1 39.062 (38.269) Prec@5 63.672 (64.327)
Epoch: [21][40/5005] Time 0.196 (0.247) Data 0.045 (0.092) Loss 2.6844 (2.8308) Prec@1 41.016 (37.891) Prec@5 64.453 (64.082)
Epoch: [21][50/5005] Time 0.196 (0.237) Data 0.046 (0.084) Loss 2.7677 (2.8228) Prec@1 35.547 (37.983) Prec@5 68.750 (64.185)
Epoch: [21][60/5005] Time 0.181 (0.231) Data 0.064 (0.078) Loss 2.8735 (2.8245) Prec@1 35.156 (38.070) Prec@5 64.062 (64.191)
Epoch: [21][70/5005] Time 0.203 (0.227) Data 0.043 (0.074) Loss 2.7933 (2.8361) Prec@1 40.234 (37.979) Prec@5 64.062 (63.996)
Epoch: [21][80/5005] Time 0.201 (0.224) Data 0.050 (0.071) Loss 2.6713 (2.8314) Prec@1 41.406 (38.084) Prec@5 68.750 (64.043)
Epoch: [21][90/5005] Time 0.203 (0.221) Data 0.069 (0.069) Loss 2.8963 (2.8288) Prec@1 40.234 (38.230) Prec@5 63.281 (64.166)
Epoch: [21][100/5005] Time 0.213 (0.219) Data 0.048 (0.067) Loss 2.5516 (2.8307) Prec@1 41.016 (38.150) Prec@5 71.484 (64.109)
Epoch: [21][110/5005] Time 0.193 (0.217) Data 0.050 (0.066) Loss 2.9105 (2.8331) Prec@1 39.062 (38.225) Prec@5 62.500 (64.017)
Epoch: [21][120/5005] Time 0.212 (0.216) Data 0.048 (0.066) Loss 2.9000 (2.8357) Prec@1 36.328 (38.304) Prec@5 63.672 (64.014)
Epoch: [21][130/5005] Time 0.209 (0.215) Data 0.051 (0.065) Loss 2.8656 (2.8370) Prec@1 39.844 (38.251) Prec@5 63.672 (64.015)
Epoch: [21][140/5005] Time 0.211 (0.216) Data 0.040 (0.067) Loss 2.8744 (2.8352) Prec@1 37.500 (38.234) Prec@5 62.109 (63.982)
Epoch: [21][150/5005] Time 0.190 (0.218) Data 0.096 (0.071) Loss 3.0964 (2.8372) Prec@1 36.328 (38.219) Prec@5 60.938 (63.951)
Epoch: [21][160/5005] Time 0.196 (0.219) Data 0.050 (0.072) Loss 2.8940 (2.8382) Prec@1 34.766 (38.170) Prec@5 61.328 (63.975)
Epoch: [21][170/5005] Time 0.197 (0.221) Data 0.061 (0.075) Loss 2.9239 (2.8380) Prec@1 37.891 (38.135) Prec@5 62.109 (63.900)
Epoch: [21][180/5005] Time 0.206 (0.223) Data 0.053 (0.077) Loss 3.1068 (2.8380) Prec@1 37.500 (38.124) Prec@5 60.156 (63.922)
Epoch: [21][190/5005] Time 0.215 (0.223) Data 0.061 (0.077) Loss 2.9918 (2.8428) Prec@1 35.156 (38.032) Prec@5 64.062 (63.864)
Epoch: [21][200/5005] Time 0.211 (0.223) Data 0.049 (0.077) Loss 2.9354 (2.8437) Prec@1 36.719 (38.015) Prec@5 65.625 (63.862)
Epoch: [21][210/5005] Time 0.215 (0.224) Data 0.056 (0.077) Loss 2.6501 (2.8440) Prec@1 41.406 (37.992) Prec@5 71.484 (63.872)
Epoch: [21][220/5005] Time 0.224 (0.224) Data 0.048 (0.077) Loss 2.9241 (2.8436) Prec@1 37.500 (38.055) Prec@5 60.938 (63.907)
Epoch: [21][230/5005] Time 0.208 (0.225) Data 0.053 (0.078) Loss 2.8716 (2.8423) Prec@1 34.375 (38.078) Prec@5 61.328 (63.936)
Epoch: [21][240/5005] Time 0.221 (0.224) Data 0.134 (0.077) Loss 2.6742 (2.8420) Prec@1 39.453 (38.046) Prec@5 70.312 (63.960)
Epoch: [21][250/5005] Time 0.646 (0.226) Data 0.550 (0.079) Loss 2.9119 (2.8404) Prec@1 36.328 (38.068) Prec@5 64.062 (63.988)
Epoch: [21][260/5005] Time 0.198 (0.227) Data 0.047 (0.079) Loss 2.7306 (2.8411) Prec@1 39.844 (38.079) Prec@5 66.797 (63.980)
Epoch: [21][270/5005] Time 0.208 (0.227) Data 0.093 (0.079) Loss 2.9078 (2.8404) Prec@1 41.797 (38.077) Prec@5 63.672 (63.976)
Epoch: [21][280/5005] Time 0.227 (0.227) Data 0.140 (0.080) Loss 3.3092 (2.8432) Prec@1 33.984 (38.060) Prec@5 56.250 (63.935)
Epoch: [21][290/5005] Time 0.205 (0.228) Data 0.040 (0.081) Loss 2.7400 (2.8451) Prec@1 39.062 (38.001) Prec@5 63.672 (63.873)
Epoch: [21][300/5005] Time 0.201 (0.229) Data 0.040 (0.083) Loss 2.5379 (2.8452) Prec@1 44.531 (38.010) Prec@5 69.141 (63.896)
Epoch: [21][310/5005] Time 0.200 (0.229) Data 0.058 (0.083) Loss 2.8398 (2.8418) Prec@1 33.203 (38.044) Prec@5 62.109 (63.953)
Epoch: [21][320/5005] Time 0.200 (0.230) Data 0.097 (0.084) Loss 3.1426 (2.8442) Prec@1 32.812 (38.027) Prec@5 58.984 (63.936)
Epoch: [21][330/5005] Time 0.206 (0.231) Data 0.044 (0.086) Loss 2.6582 (2.8425) Prec@1 36.719 (38.029) Prec@5 66.797 (63.963)
Epoch: [21][340/5005] Time 0.210 (0.231) Data 0.042 (0.085) Loss 2.9918 (2.8457) Prec@1 33.203 (38.009) Prec@5 61.328 (63.882)
Epoch: [21][350/5005] Time 0.203 (0.232) Data 0.046 (0.086) Loss 3.0284 (2.8445) Prec@1 36.719 (38.040) Prec@5 62.109 (63.866)
Epoch: [21][360/5005] Time 0.207 (0.231) Data 0.041 (0.084) Loss 2.8895 (2.8443) Prec@1 35.938 (38.018) Prec@5 60.156 (63.847)
Epoch: [21][370/5005] Time 0.214 (0.230) Data 0.040 (0.083) Loss 3.0153 (2.8432) Prec@1 36.719 (37.997) Prec@5 59.375 (63.865)
Epoch: [21][380/5005] Time 0.207 (0.230) Data 0.042 (0.082) Loss 2.9908 (2.8449) Prec@1 36.719 (37.966) Prec@5 59.375 (63.835)
Epoch: [21][390/5005] Time 0.214 (0.230) Data 0.041 (0.081) Loss 2.7356 (2.8453) Prec@1 40.625 (37.949) Prec@5 65.625 (63.830)
Epoch: [21][400/5005] Time 0.216 (0.229) Data 0.053 (0.080) Loss 2.7627 (2.8439) Prec@1 37.500 (37.963) Prec@5 67.188 (63.861)
Epoch: [21][410/5005] Time 0.212 (0.229) Data 0.041 (0.080) Loss 2.6264 (2.8430) Prec@1 38.672 (37.975) Prec@5 68.359 (63.863)
Epoch: [21][420/5005] Time 0.212 (0.228) Data 0.040 (0.079) Loss 2.7513 (2.8418) Prec@1 39.453 (38.002) Prec@5 69.922 (63.884)
Epoch: [21][430/5005] Time 0.209 (0.228) Data 0.044 (0.078) Loss 2.7667 (2.8421) Prec@1 42.188 (38.000) Prec@5 67.969 (63.869)
Epoch: [21][440/5005] Time 0.215 (0.228) Data 0.049 (0.077) Loss 2.7578 (2.8414) Prec@1 38.672 (37.968) Prec@5 63.672 (63.867)
Epoch: [21][450/5005] Time 0.210 (0.227) Data 0.060 (0.077) Loss 2.7035 (2.8426) Prec@1 35.156 (37.927) Prec@5 63.672 (63.838)
Epoch: [21][460/5005] Time 0.214 (0.227) Data 0.045 (0.076) Loss 2.9987 (2.8436) Prec@1 33.984 (37.888) Prec@5 58.594 (63.822)
Epoch: [21][470/5005] Time 0.210 (0.227) Data 0.045 (0.076) Loss 2.9125 (2.8445) Prec@1 35.156 (37.864) Prec@5 61.328 (63.795)
Epoch: [21][480/5005] Time 0.213 (0.226) Data 0.047 (0.075) Loss 2.8299 (2.8445) Prec@1 40.234 (37.867) Prec@5 65.625 (63.782)
Epoch: [21][490/5005] Time 0.217 (0.226) Data 0.042 (0.074) Loss 2.7261 (2.8447) Prec@1 40.625 (37.868) Prec@5 66.797 (63.790)
Epoch: [21][500/5005] Time 0.207 (0.226) Data 0.059 (0.074) Loss 3.0553 (2.8468) Prec@1 35.547 (37.857) Prec@5 58.984 (63.758)
Epoch: [21][510/5005] Time 0.207 (0.225) Data 0.047 (0.074) Loss 3.1527 (2.8477) Prec@1 31.641 (37.843) Prec@5 57.422 (63.746)
Epoch: [21][520/5005] Time 0.211 (0.225) Data 0.045 (0.073) Loss 2.7769 (2.8473) Prec@1 36.328 (37.850) Prec@5 61.719 (63.738)
Epoch: [21][530/5005] Time 0.221 (0.225) Data 0.049 (0.073) Loss 2.8520 (2.8468) Prec@1 37.891 (37.846) Prec@5 60.938 (63.733)
Epoch: [21][540/5005] Time 0.210 (0.225) Data 0.040 (0.072) Loss 3.0164 (2.8476) Prec@1 38.672 (37.842) Prec@5 58.594 (63.741)
Epoch: [21][550/5005] Time 0.217 (0.224) Data 0.045 (0.072) Loss 2.7589 (2.8470) Prec@1 39.453 (37.866) Prec@5 63.281 (63.745)
Epoch: [21][560/5005] Time 0.214 (0.224) Data 0.056 (0.071) Loss 2.8661 (2.8474) Prec@1 34.766 (37.846) Prec@5 66.797 (63.764)
Epoch: [21][570/5005] Time 0.195 (0.224) Data 0.058 (0.071) Loss 2.8885 (2.8488) Prec@1 34.766 (37.809) Prec@5 62.109 (63.745)
Epoch: [21][580/5005] Time 0.209 (0.224) Data 0.063 (0.071) Loss 2.8436 (2.8483) Prec@1 36.719 (37.824) Prec@5 62.891 (63.751)
Epoch: [21][590/5005] Time 0.206 (0.224) Data 0.059 (0.071) Loss 2.9704 (2.8487) Prec@1 33.984 (37.821) Prec@5 60.938 (63.724)
Epoch: [21][600/5005] Time 0.215 (0.223) Data 0.053 (0.070) Loss 2.8214 (2.8500) Prec@1 37.891 (37.798) Prec@5 65.625 (63.713)
Epoch: [21][610/5005] Time 0.215 (0.223) Data 0.054 (0.070) Loss 2.7513 (2.8493) Prec@1 37.500 (37.808) Prec@5 66.797 (63.727)
Epoch: [21][620/5005] Time 0.209 (0.223) Data 0.048 (0.070) Loss 2.8652 (2.8490) Prec@1 35.156 (37.815) Prec@5 62.500 (63.736)
Epoch: [21][630/5005] Time 0.220 (0.223) Data 0.042 (0.069) Loss 3.0950 (2.8493) Prec@1 35.547 (37.803) Prec@5 59.375 (63.730)
Epoch: [21][640/5005] Time 0.211 (0.223) Data 0.058 (0.069) Loss 2.7145 (2.8491) Prec@1 42.969 (37.791) Prec@5 63.281 (63.741)
Epoch: [21][650/5005] Time 0.214 (0.223) Data 0.043 (0.069) Loss 2.9344 (2.8497) Prec@1 37.109 (37.789) Prec@5 60.938 (63.731)
Epoch: [21][660/5005] Time 0.213 (0.222) Data 0.043 (0.068) Loss 2.9269 (2.8485) Prec@1 33.203 (37.810) Prec@5 65.234 (63.766)
Epoch: [21][670/5005] Time 0.216 (0.222) Data 0.043 (0.068) Loss 3.0964 (2.8487) Prec@1 32.422 (37.800) Prec@5 57.812 (63.744)
Epoch: [21][680/5005] Time 0.205 (0.222) Data 0.048 (0.068) Loss 2.9636 (2.8487) Prec@1 33.203 (37.782) Prec@5 62.109 (63.745)
Epoch: [21][690/5005] Time 0.212 (0.222) Data 0.044 (0.067) Loss 2.7403 (2.8483) Prec@1 39.062 (37.798) Prec@5 67.188 (63.749)
Epoch: [21][700/5005] Time 0.215 (0.222) Data 0.043 (0.067) Loss 2.7652 (2.8481) Prec@1 33.984 (37.783) Prec@5 64.453 (63.743)
Epoch: [21][710/5005] Time 0.215 (0.222) Data 0.041 (0.067) Loss 2.7194 (2.8476) Prec@1 38.281 (37.797) Prec@5 65.234 (63.739)
Epoch: [21][720/5005] Time 0.200 (0.222) Data 0.043 (0.066) Loss 2.7396 (2.8468) Prec@1 37.891 (37.801) Prec@5 66.016 (63.752)
Epoch: [21][730/5005] Time 0.211 (0.222) Data 0.043 (0.066) Loss 2.9808 (2.8474) Prec@1 37.109 (37.797) Prec@5 62.891 (63.747)
Epoch: [21][740/5005] Time 0.205 (0.221) Data 0.042 (0.066) Loss 2.9279 (2.8469) Prec@1 39.453 (37.821) Prec@5 60.156 (63.756)
Epoch: [21][750/5005] Time 0.211 (0.221) Data 0.041 (0.066) Loss 2.6888 (2.8464) Prec@1 40.625 (37.826) Prec@5 65.234 (63.753)
Epoch: [21][760/5005] Time 0.201 (0.221) Data 0.045 (0.065) Loss 2.8889 (2.8462) Prec@1 38.281 (37.826) Prec@5 64.453 (63.762)
Epoch: [21][770/5005] Time 0.209 (0.221) Data 0.048 (0.065) Loss 2.9013 (2.8451) Prec@1 35.547 (37.837) Prec@5 63.281 (63.783)
Epoch: [21][780/5005] Time 0.212 (0.221) Data 0.046 (0.065) Loss 2.8107 (2.8449) Prec@1 37.891 (37.844) Prec@5 64.062 (63.787)
Epoch: [21][790/5005] Time 0.205 (0.221) Data 0.052 (0.065) Loss 2.7484 (2.8447) Prec@1 38.672 (37.852) Prec@5 65.234 (63.799)
Epoch: [21][800/5005] Time 0.203 (0.221) Data 0.053 (0.065) Loss 2.6638 (2.8437) Prec@1 37.500 (37.877) Prec@5 67.969 (63.823)
Epoch: [21][810/5005] Time 0.253 (0.221) Data 0.165 (0.065) Loss 2.9843 (2.8439) Prec@1 34.766 (37.873) Prec@5 59.766 (63.824)
Epoch: [21][820/5005] Time 0.210 (0.221) Data 0.045 (0.065) Loss 2.9879 (2.8445) Prec@1 34.766 (37.856) Prec@5 62.891 (63.823)
Epoch: [21][830/5005] Time 0.206 (0.221) Data 0.047 (0.065) Loss 2.9397 (2.8446) Prec@1 34.766 (37.859) Prec@5 58.984 (63.816)
Epoch: [21][840/5005] Time 0.209 (0.221) Data 0.043 (0.065) Loss 2.7553 (2.8446) Prec@1 39.062 (37.859) Prec@5 62.109 (63.816)
Epoch: [21][850/5005] Time 0.209 (0.221) Data 0.039 (0.065) Loss 3.1310 (2.8445) Prec@1 32.812 (37.847) Prec@5 61.719 (63.824)
Epoch: [21][860/5005] Time 0.211 (0.221) Data 0.126 (0.065) Loss 2.9020 (2.8447) Prec@1 37.500 (37.847) Prec@5 59.375 (63.812)
Epoch: [21][870/5005] Time 0.208 (0.221) Data 0.097 (0.066) Loss 2.8355 (2.8436) Prec@1 37.500 (37.860) Prec@5 63.281 (63.819)
Epoch: [21][880/5005] Time 0.207 (0.221) Data 0.045 (0.066) Loss 2.8236 (2.8438) Prec@1 39.453 (37.865) Prec@5 64.844 (63.814)
Epoch: [21][890/5005] Time 0.200 (0.221) Data 0.044 (0.066) Loss 3.2521 (2.8441) Prec@1 29.688 (37.852) Prec@5 53.906 (63.802)
Epoch: [21][900/5005] Time 0.204 (0.221) Data 0.039 (0.066) Loss 2.7900 (2.8438) Prec@1 39.062 (37.839) Prec@5 66.797 (63.815)
Epoch: [21][910/5005] Time 0.210 (0.221) Data 0.050 (0.066) Loss 2.8880 (2.8441) Prec@1 36.328 (37.830) Prec@5 62.500 (63.810)
Epoch: [21][920/5005] Time 0.210 (0.221) Data 0.046 (0.066) Loss 2.9465 (2.8434) Prec@1 37.109 (37.851) Prec@5 60.156 (63.822)
Epoch: [21][930/5005] Time 0.193 (0.222) Data 0.050 (0.067) Loss 2.7645 (2.8430) Prec@1 38.281 (37.862) Prec@5 62.891 (63.818)
Epoch: [21][940/5005] Time 0.208 (0.223) Data 0.053 (0.067) Loss 2.7769 (2.8435) Prec@1 35.938 (37.852) Prec@5 68.750 (63.814)
Epoch: [21][950/5005] Time 0.191 (0.223) Data 0.062 (0.068) Loss 2.9963 (2.8444) Prec@1 36.719 (37.854) Prec@5 58.984 (63.791)
Epoch: [21][960/5005] Time 0.200 (0.223) Data 0.096 (0.068) Loss 2.9876 (2.8450) Prec@1 37.500 (37.839) Prec@5 61.719 (63.782)
Epoch: [21][970/5005] Time 0.198 (0.224) Data 0.044 (0.069) Loss 2.6740 (2.8450) Prec@1 40.625 (37.837) Prec@5 66.406 (63.783)
Epoch: [21][980/5005] Time 0.216 (0.224) Data 0.055 (0.069) Loss 2.7062 (2.8446) Prec@1 40.234 (37.852) Prec@5 63.672 (63.779)
Epoch: [21][990/5005] Time 0.207 (0.224) Data 0.051 (0.069) Loss 2.8393 (2.8450) Prec@1 38.281 (37.839) Prec@5 65.625 (63.769)
Epoch: [21][1000/5005] Time 0.207 (0.223) Data 0.048 (0.069) Loss 2.9028 (2.8449) Prec@1 36.719 (37.851) Prec@5 63.281 (63.766)
Epoch: [21][1010/5005] Time 0.215 (0.223) Data 0.038 (0.068) Loss 2.8945 (2.8445) Prec@1 32.422 (37.845) Prec@5 62.500 (63.767)
Epoch: [21][1020/5005] Time 0.216 (0.223) Data 0.044 (0.068) Loss 2.7041 (2.8446) Prec@1 42.578 (37.846) Prec@5 68.359 (63.767)
Epoch: [21][1030/5005] Time 0.207 (0.223) Data 0.042 (0.068) Loss 2.7609 (2.8441) Prec@1 40.234 (37.857) Prec@5 64.453 (63.772)
Epoch: [21][1040/5005] Time 0.212 (0.223) Data 0.043 (0.068) Loss 3.0235 (2.8443) Prec@1 33.203 (37.846) Prec@5 63.672 (63.764)
Epoch: [21][1050/5005] Time 0.218 (0.223) Data 0.041 (0.067) Loss 3.0006 (2.8450) Prec@1 36.328 (37.823) Prec@5 64.844 (63.750)
Epoch: [21][1060/5005] Time 0.209 (0.223) Data 0.043 (0.067) Loss 2.9960 (2.8457) Prec@1 35.156 (37.815) Prec@5 62.500 (63.747)
Epoch: [21][1070/5005] Time 0.203 (0.223) Data 0.041 (0.067) Loss 2.8891 (2.8457) Prec@1 37.500 (37.813) Prec@5 62.109 (63.744)
Epoch: [21][1080/5005] Time 0.207 (0.223) Data 0.044 (0.067) Loss 2.8882 (2.8460) Prec@1 35.547 (37.806) Prec@5 61.328 (63.735)
Epoch: [21][1090/5005] Time 0.206 (0.222) Data 0.042 (0.067) Loss 2.6742 (2.8454) Prec@1 43.750 (37.816) Prec@5 62.500 (63.745)
Epoch: [21][1100/5005] Time 0.209 (0.222) Data 0.044 (0.066) Loss 2.7551 (2.8449) Prec@1 36.328 (37.829) Prec@5 65.234 (63.748)
Epoch: [21][1110/5005] Time 0.214 (0.222) Data 0.056 (0.066) Loss 2.8239 (2.8452) Prec@1 39.062 (37.830) Prec@5 64.062 (63.740)
Epoch: [21][1120/5005] Time 0.209 (0.222) Data 0.043 (0.066) Loss 2.8060 (2.8448) Prec@1 38.281 (37.833) Prec@5 64.844 (63.751)
Epoch: [21][1130/5005] Time 0.204 (0.222) Data 0.062 (0.066) Loss 2.8648 (2.8454) Prec@1 38.672 (37.833) Prec@5 64.844 (63.737)
Epoch: [21][1140/5005] Time 0.214 (0.222) Data 0.042 (0.066) Loss 2.9568 (2.8453) Prec@1 34.375 (37.834) Prec@5 60.547 (63.731)
Epoch: [21][1150/5005] Time 0.195 (0.222) Data 0.065 (0.066) Loss 2.7131 (2.8449) Prec@1 38.281 (37.836) Prec@5 65.625 (63.741)
Epoch: [21][1160/5005] Time 0.213 (0.222) Data 0.045 (0.065) Loss 2.8248 (2.8451) Prec@1 39.062 (37.839) Prec@5 64.062 (63.733)
Epoch: [21][1170/5005] Time 0.194 (0.222) Data 0.047 (0.065) Loss 2.7413 (2.8448) Prec@1 39.844 (37.837) Prec@5 64.453 (63.733)
Epoch: [21][1180/5005] Time 0.211 (0.221) Data 0.044 (0.065) Loss 2.7973 (2.8448) Prec@1 37.500 (37.828) Prec@5 63.672 (63.730)
Epoch: [21][1190/5005] Time 0.210 (0.221) Data 0.040 (0.065) Loss 2.6853 (2.8447) Prec@1 39.453 (37.828) Prec@5 64.844 (63.733)
Epoch: [21][1200/5005] Time 0.210 (0.221) Data 0.042 (0.065) Loss 3.0058 (2.8449) Prec@1 36.328 (37.829) Prec@5 62.109 (63.725)
Epoch: [21][1210/5005] Time 0.213 (0.221) Data 0.048 (0.065) Loss 2.9518 (2.8455) Prec@1 32.031 (37.817) Prec@5 62.891 (63.717)
Epoch: [21][1220/5005] Time 0.198 (0.221) Data 0.055 (0.065) Loss 2.8644 (2.8457) Prec@1 34.375 (37.803) Prec@5 62.500 (63.718)
Epoch: [21][1230/5005] Time 0.215 (0.221) Data 0.046 (0.065) Loss 2.8507 (2.8461) Prec@1 39.062 (37.801) Prec@5 66.016 (63.706)
Epoch: [21][1240/5005] Time 0.228 (0.221) Data 0.143 (0.065) Loss 2.8180 (2.8462) Prec@1 40.234 (37.807) Prec@5 63.672 (63.702)
Epoch: [21][1250/5005] Time 0.387 (0.221) Data 0.303 (0.066) Loss 3.1241 (2.8467) Prec@1 34.375 (37.801) Prec@5 60.938 (63.692)
Epoch: [21][1260/5005] Time 0.205 (0.221) Data 0.054 (0.066) Loss 2.4802 (2.8461) Prec@1 41.016 (37.800) Prec@5 66.797 (63.694)
Epoch: [21][1270/5005] Time 0.209 (0.221) Data 0.054 (0.066) Loss 2.8852 (2.8468) Prec@1 35.938 (37.792) Prec@5 61.328 (63.671)
Epoch: [21][1280/5005] Time 0.310 (0.221) Data 0.229 (0.066) Loss 2.8930 (2.8472) Prec@1 35.156 (37.790) Prec@5 61.328 (63.663)
Epoch: [21][1290/5005] Time 0.208 (0.222) Data 0.046 (0.066) Loss 2.5415 (2.8467) Prec@1 43.750 (37.796) Prec@5 69.922 (63.672)
Epoch: [21][1300/5005] Time 0.211 (0.222) Data 0.058 (0.066) Loss 2.6708 (2.8466) Prec@1 42.969 (37.805) Prec@5 66.016 (63.676)
Epoch: [21][1310/5005] Time 0.198 (0.222) Data 0.045 (0.066) Loss 2.8206 (2.8463) Prec@1 35.547 (37.807) Prec@5 64.844 (63.683)
Epoch: [21][1320/5005] Time 0.214 (0.221) Data 0.050 (0.066) Loss 2.9743 (2.8461) Prec@1 34.766 (37.812) Prec@5 63.281 (63.698)
Epoch: [21][1330/5005] Time 0.212 (0.221) Data 0.056 (0.067) Loss 2.9491 (2.8465) Prec@1 36.719 (37.804) Prec@5 62.891 (63.697)
Epoch: [21][1340/5005] Time 0.216 (0.221) Data 0.126 (0.067) Loss 2.8848 (2.8463) Prec@1 33.203 (37.806) Prec@5 60.547 (63.699)
Epoch: [21][1350/5005] Time 0.209 (0.221) Data 0.044 (0.067) Loss 3.2037 (2.8467) Prec@1 33.203 (37.793) Prec@5 57.422 (63.696)
Epoch: [21][1360/5005] Time 0.201 (0.221) Data 0.048 (0.067) Loss 2.7445 (2.8465) Prec@1 39.453 (37.807) Prec@5 66.797 (63.700)
Epoch: [21][1370/5005] Time 0.298 (0.221) Data 0.210 (0.067) Loss 2.8698 (2.8462) Prec@1 36.328 (37.812) Prec@5 60.938 (63.701)
Epoch: [21][1380/5005] Time 0.202 (0.221) Data 0.052 (0.067) Loss 2.7707 (2.8459) Prec@1 41.016 (37.819) Prec@5 67.969 (63.715)
Epoch: [21][1390/5005] Time 0.201 (0.221) Data 0.046 (0.068) Loss 2.7774 (2.8459) Prec@1 36.328 (37.818) Prec@5 65.625 (63.713)
Epoch: [21][1400/5005] Time 0.217 (0.222) Data 0.138 (0.068) Loss 2.8407 (2.8454) Prec@1 38.672 (37.818) Prec@5 63.281 (63.718)
Epoch: [21][1410/5005] Time 0.196 (0.222) Data 0.049 (0.068) Loss 2.7716 (2.8451) Prec@1 43.359 (37.830) Prec@5 66.016 (63.720)
Epoch: [21][1420/5005] Time 0.205 (0.222) Data 0.041 (0.068) Loss 3.1294 (2.8452) Prec@1 31.641 (37.827) Prec@5 60.547 (63.721)
Epoch: [21][1430/5005] Time 0.198 (0.222) Data 0.056 (0.068) Loss 2.5264 (2.8447) Prec@1 42.188 (37.832) Prec@5 69.531 (63.735)
Epoch: [21][1440/5005] Time 0.383 (0.222) Data 0.303 (0.068) Loss 2.6908 (2.8448) Prec@1 39.844 (37.838) Prec@5 65.625 (63.731)
Epoch: [21][1450/5005] Time 0.195 (0.222) Data 0.040 (0.068) Loss 2.8743 (2.8448) Prec@1 37.891 (37.839) Prec@5 65.234 (63.728)
Epoch: [21][1460/5005] Time 0.197 (0.222) Data 0.050 (0.068) Loss 2.9526 (2.8451) Prec@1 34.375 (37.840) Prec@5 57.422 (63.725)
Epoch: [21][1470/5005] Time 0.217 (0.222) Data 0.040 (0.068) Loss 2.9027 (2.8453) Prec@1 35.156 (37.843) Prec@5 61.719 (63.715)
Epoch: [21][1480/5005] Time 0.215 (0.222) Data 0.045 (0.068) Loss 2.6990 (2.8455) Prec@1 41.016 (37.843) Prec@5 66.797 (63.708)
Epoch: [21][1490/5005] Time 0.721 (0.222) Data 0.635 (0.069) Loss 3.0902 (2.8454) Prec@1 34.375 (37.838) Prec@5 60.156 (63.711)
Epoch: [21][1500/5005] Time 0.190 (0.222) Data 0.064 (0.069) Loss 2.9556 (2.8457) Prec@1 35.156 (37.835) Prec@5 58.984 (63.705)
Epoch: [21][1510/5005] Time 0.203 (0.222) Data 0.042 (0.069) Loss 2.6158 (2.8455) Prec@1 38.672 (37.842) Prec@5 67.969 (63.712)
Epoch: [21][1520/5005] Time 0.200 (0.222) Data 0.045 (0.069) Loss 2.9287 (2.8455) Prec@1 36.328 (37.841) Prec@5 62.891 (63.705)
Epoch: [21][1530/5005] Time 0.205 (0.222) Data 0.044 (0.069) Loss 3.0004 (2.8456) Prec@1 40.625 (37.837) Prec@5 60.547 (63.702)
Epoch: [21][1540/5005] Time 0.205 (0.222) Data 0.046 (0.069) Loss 2.8606 (2.8458) Prec@1 39.062 (37.837) Prec@5 62.891 (63.694)
Epoch: [21][1550/5005] Time 0.202 (0.222) Data 0.045 (0.069) Loss 2.6908 (2.8456) Prec@1 38.672 (37.834) Prec@5 66.406 (63.700)
Epoch: [21][1560/5005] Time 0.209 (0.222) Data 0.045 (0.068) Loss 2.6479 (2.8457) Prec@1 42.578 (37.836) Prec@5 66.797 (63.699)
Epoch: [21][1570/5005] Time 0.401 (0.222) Data 0.311 (0.069) Loss 2.7729 (2.8455) Prec@1 39.453 (37.835) Prec@5 66.406 (63.704)
Epoch: [21][1580/5005] Time 0.208 (0.222) Data 0.053 (0.069) Loss 2.6969 (2.8457) Prec@1 40.625 (37.822) Prec@5 67.578 (63.698)
Epoch: [21][1590/5005] Time 0.200 (0.223) Data 0.124 (0.069) Loss 2.7730 (2.8454) Prec@1 41.406 (37.818) Prec@5 66.797 (63.701)
Epoch: [21][1600/5005] Time 0.197 (0.223) Data 0.043 (0.069) Loss 2.8811 (2.8454) Prec@1 33.203 (37.813) Prec@5 64.844 (63.705)
Epoch: [21][1610/5005] Time 0.193 (0.223) Data 0.048 (0.070) Loss 2.8489 (2.8454) Prec@1 36.328 (37.812) Prec@5 63.672 (63.708)
Epoch: [21][1620/5005] Time 0.209 (0.223) Data 0.042 (0.070) Loss 2.9987 (2.8452) Prec@1 37.891 (37.808) Prec@5 60.938 (63.709)
Epoch: [21][1630/5005] Time 0.198 (0.223) Data 0.049 (0.070) Loss 2.6305 (2.8454) Prec@1 41.406 (37.806) Prec@5 67.969 (63.706)
Epoch: [21][1640/5005] Time 0.210 (0.222) Data 0.042 (0.069) Loss 2.8260 (2.8460) Prec@1 41.016 (37.795) Prec@5 65.234 (63.700)
Epoch: [21][1650/5005] Time 0.218 (0.222) Data 0.042 (0.069) Loss 2.8795 (2.8458) Prec@1 35.938 (37.802) Prec@5 63.281 (63.695)
Epoch: [21][1660/5005] Time 0.197 (0.222) Data 0.045 (0.070) Loss 2.8075 (2.8451) Prec@1 37.891 (37.814) Prec@5 63.281 (63.699)
Epoch: [21][1670/5005] Time 0.206 (0.222) Data 0.050 (0.069) Loss 2.6629 (2.8454) Prec@1 41.406 (37.804) Prec@5 66.016 (63.697)
Epoch: [21][1680/5005] Time 0.216 (0.222) Data 0.042 (0.070) Loss 3.0523 (2.8459) Prec@1 37.500 (37.798) Prec@5 63.281 (63.697)
Epoch: [21][1690/5005] Time 0.212 (0.222) Data 0.044 (0.070) Loss 2.7531 (2.8454) Prec@1 41.797 (37.806) Prec@5 64.453 (63.701)
Epoch: [21][1700/5005] Time 0.203 (0.223) Data 0.047 (0.070) Loss 2.7653 (2.8451) Prec@1 40.625 (37.809) Prec@5 64.453 (63.705)
Epoch: [21][1710/5005] Time 0.197 (0.223) Data 0.049 (0.070) Loss 2.7254 (2.8447) Prec@1 38.672 (37.810) Prec@5 66.016 (63.710)
Epoch: [21][1720/5005] Time 0.220 (0.222) Data 0.047 (0.070) Loss 2.9770 (2.8448) Prec@1 35.547 (37.807) Prec@5 60.156 (63.708)
Epoch: [21][1730/5005] Time 0.200 (0.222) Data 0.048 (0.070) Loss 2.6641 (2.8445) Prec@1 38.672 (37.809) Prec@5 65.625 (63.719)
Epoch: [21][1740/5005] Time 0.210 (0.222) Data 0.046 (0.070) Loss 2.9378 (2.8442) Prec@1 38.672 (37.812) Prec@5 57.812 (63.726)
Epoch: [21][1750/5005] Time 0.194 (0.223) Data 0.097 (0.070) Loss 2.8099 (2.8438) Prec@1 33.594 (37.811) Prec@5 66.797 (63.738)
Epoch: [21][1760/5005] Time 0.194 (0.223) Data 0.050 (0.070) Loss 2.5969 (2.8436) Prec@1 41.406 (37.817) Prec@5 67.578 (63.743)
Epoch: [21][1770/5005] Time 0.204 (0.223) Data 0.046 (0.070) Loss 3.0365 (2.8437) Prec@1 31.250 (37.815) Prec@5 62.500 (63.745)
Epoch: [21][1780/5005] Time 0.199 (0.223) Data 0.042 (0.070) Loss 2.7398 (2.8437) Prec@1 39.453 (37.808) Prec@5 65.234 (63.748)
Epoch: [21][1790/5005] Time 0.200 (0.223) Data 0.052 (0.070) Loss 2.5716 (2.8432) Prec@1 40.625 (37.818) Prec@5 68.359 (63.755)
Epoch: [21][1800/5005] Time 0.206 (0.223) Data 0.047 (0.070) Loss 2.8342 (2.8431) Prec@1 39.062 (37.822) Prec@5 63.672 (63.758)
Epoch: [21][1810/5005] Time 0.203 (0.223) Data 0.051 (0.070) Loss 2.6564 (2.8430) Prec@1 42.578 (37.821) Prec@5 68.750 (63.761)
Epoch: [21][1820/5005] Time 0.208 (0.223) Data 0.050 (0.070) Loss 2.8239 (2.8428) Prec@1 38.281 (37.824) Prec@5 62.891 (63.765)
Epoch: [21][1830/5005] Time 0.206 (0.223) Data 0.045 (0.070) Loss 2.5327 (2.8422) Prec@1 42.969 (37.828) Prec@5 69.531 (63.775)
Epoch: [21][1840/5005] Time 0.203 (0.223) Data 0.044 (0.070) Loss 2.8179 (2.8420) Prec@1 36.719 (37.838) Prec@5 65.625 (63.778)
Epoch: [21][1850/5005] Time 0.211 (0.223) Data 0.043 (0.069) Loss 2.8061 (2.8416) Prec@1 37.109 (37.845) Prec@5 66.406 (63.788)
Epoch: [21][1860/5005] Time 0.210 (0.223) Data 0.046 (0.069) Loss 2.7515 (2.8417) Prec@1 42.578 (37.849) Prec@5 67.578 (63.789)
Epoch: [21][1870/5005] Time 0.215 (0.223) Data 0.045 (0.069) Loss 3.0930 (2.8420) Prec@1 32.422 (37.844) Prec@5 60.547 (63.784)
Epoch: [21][1880/5005] Time 0.216 (0.223) Data 0.045 (0.069) Loss 2.8466 (2.8422) Prec@1 37.891 (37.842) Prec@5 62.500 (63.781)
Epoch: [21][1890/5005] Time 0.203 (0.223) Data 0.049 (0.069) Loss 2.9464 (2.8422) Prec@1 37.109 (37.837) Prec@5 62.109 (63.781)
Epoch: [21][1900/5005] Time 0.199 (0.223) Data 0.052 (0.069) Loss 2.8118 (2.8428) Prec@1 39.844 (37.828) Prec@5 66.016 (63.772)
Epoch: [21][1910/5005] Time 0.204 (0.223) Data 0.054 (0.070) Loss 2.7377 (2.8428) Prec@1 36.719 (37.827) Prec@5 64.844 (63.768)
Epoch: [21][1920/5005] Time 0.198 (0.223) Data 0.045 (0.070) Loss 2.7361 (2.8426) Prec@1 37.109 (37.824) Prec@5 66.016 (63.777)
Epoch: [21][1930/5005] Time 0.208 (0.223) Data 0.053 (0.070) Loss 2.6000 (2.8423) Prec@1 43.359 (37.834) Prec@5 68.750 (63.782)
Epoch: [21][1940/5005] Time 0.206 (0.223) Data 0.063 (0.070) Loss 2.7553 (2.8420) Prec@1 37.500 (37.836) Prec@5 66.406 (63.790)
Epoch: [21][1950/5005] Time 0.201 (0.223) Data 0.044 (0.070) Loss 2.9124 (2.8421) Prec@1 33.984 (37.834) Prec@5 63.281 (63.787)
Epoch: [21][1960/5005] Time 0.194 (0.223) Data 0.102 (0.070) Loss 2.7112 (2.8415) Prec@1 41.016 (37.840) Prec@5 66.016 (63.799)
Epoch: [21][1970/5005] Time 0.210 (0.223) Data 0.044 (0.070) Loss 2.7778 (2.8414) Prec@1 39.453 (37.841) Prec@5 62.891 (63.799)
Epoch: [21][1980/5005] Time 0.202 (0.223) Data 0.045 (0.070) Loss 2.6701 (2.8415) Prec@1 40.234 (37.835) Prec@5 67.188 (63.801)
Epoch: [21][1990/5005] Time 0.206 (0.223) Data 0.055 (0.070) Loss 2.7183 (2.8412) Prec@1 35.938 (37.837) Prec@5 64.453 (63.803)
Epoch: [21][2000/5005] Time 0.208 (0.223) Data 0.060 (0.070) Loss 2.6214 (2.8413) Prec@1 40.625 (37.834) Prec@5 64.844 (63.800)
Epoch: [21][2010/5005] Time 0.203 (0.223) Data 0.047 (0.070) Loss 2.7959 (2.8417) Prec@1 42.188 (37.827) Prec@5 63.281 (63.789)
Epoch: [21][2020/5005] Time 0.366 (0.223) Data 0.280 (0.070) Loss 2.8062 (2.8415) Prec@1 38.281 (37.824) Prec@5 62.891 (63.786)
Epoch: [21][2030/5005] Time 0.200 (0.223) Data 0.064 (0.070) Loss 2.7958 (2.8416) Prec@1 37.500 (37.824) Prec@5 65.625 (63.785)
Epoch: [21][2040/5005] Time 0.562 (0.223) Data 0.473 (0.070) Loss 2.6536 (2.8415) Prec@1 37.891 (37.819) Prec@5 68.359 (63.791)
Epoch: [21][2050/5005] Time 0.206 (0.223) Data 0.050 (0.070) Loss 2.9117 (2.8417) Prec@1 39.844 (37.818) Prec@5 62.891 (63.787)
Epoch: [21][2060/5005] Time 0.210 (0.223) Data 0.042 (0.070) Loss 2.7562 (2.8416) Prec@1 33.984 (37.813) Prec@5 63.672 (63.784)
Epoch: [21][2070/5005] Time 0.206 (0.223) Data 0.125 (0.071) Loss 3.0758 (2.8419) Prec@1 32.422 (37.804) Prec@5 60.938 (63.778)
Epoch: [21][2080/5005] Time 0.277 (0.223) Data 0.185 (0.071) Loss 2.9142 (2.8420) Prec@1 38.281 (37.802) Prec@5 62.109 (63.776)
Epoch: [21][2090/5005] Time 0.205 (0.223) Data 0.044 (0.071) Loss 2.7340 (2.8417) Prec@1 39.062 (37.808) Prec@5 66.016 (63.783)
Epoch: [21][2100/5005] Time 0.199 (0.223) Data 0.050 (0.071) Loss 2.8698 (2.8418) Prec@1 36.328 (37.808) Prec@5 65.625 (63.782)
Epoch: [21][2110/5005] Time 0.199 (0.223) Data 0.046 (0.071) Loss 2.7541 (2.8420) Prec@1 39.844 (37.807) Prec@5 66.797 (63.775)
Epoch: [21][2120/5005] Time 0.206 (0.223) Data 0.046 (0.071) Loss 2.9340 (2.8420) Prec@1 36.328 (37.804) Prec@5 61.719 (63.776)
Epoch: [21][2130/5005] Time 1.205 (0.223) Data 1.122 (0.072) Loss 2.8313 (2.8417) Prec@1 37.500 (37.811) Prec@5 62.891 (63.781)
Epoch: [21][2140/5005] Time 0.196 (0.223) Data 0.053 (0.072) Loss 2.6140 (2.8416) Prec@1 44.141 (37.819) Prec@5 65.234 (63.776)
Epoch: [21][2150/5005] Time 0.197 (0.223) Data 0.044 (0.072) Loss 2.6684 (2.8414) Prec@1 39.062 (37.820) Prec@5 66.797 (63.778)
Epoch: [21][2160/5005] Time 0.201 (0.223) Data 0.047 (0.072) Loss 2.8001 (2.8413) Prec@1 38.281 (37.818) Prec@5 65.625 (63.782)
Epoch: [21][2170/5005] Time 0.200 (0.223) Data 0.083 (0.072) Loss 2.7422 (2.8411) Prec@1 40.625 (37.826) Prec@5 66.016 (63.786)
Epoch: [21][2180/5005] Time 0.204 (0.223) Data 0.093 (0.072) Loss 2.8344 (2.8412) Prec@1 40.234 (37.825) Prec@5 61.719 (63.786)
Epoch: [21][2190/5005] Time 0.207 (0.223) Data 0.051 (0.072) Loss 3.1111 (2.8413) Prec@1 35.547 (37.826) Prec@5 58.203 (63.782)
Epoch: [21][2200/5005] Time 0.198 (0.223) Data 0.048 (0.072) Loss 2.8202 (2.8415) Prec@1 39.844 (37.824) Prec@5 63.281 (63.779)
Epoch: [21][2210/5005] Time 0.198 (0.223) Data 0.047 (0.072) Loss 3.0277 (2.8419) Prec@1 36.719 (37.825) Prec@5 57.422 (63.774)
Epoch: [21][2220/5005] Time 0.381 (0.223) Data 0.298 (0.072) Loss 2.8610 (2.8416) Prec@1 39.062 (37.830) Prec@5 63.281 (63.775)
Epoch: [21][2230/5005] Time 0.241 (0.223) Data 0.158 (0.072) Loss 2.8465 (2.8419) Prec@1 42.578 (37.830) Prec@5 62.891 (63.767)
Epoch: [21][2240/5005] Time 0.209 (0.223) Data 0.044 (0.072) Loss 2.7723 (2.8417) Prec@1 39.844 (37.831) Prec@5 66.406 (63.771)
Epoch: [21][2250/5005] Time 0.206 (0.223) Data 0.045 (0.072) Loss 2.7296 (2.8418) Prec@1 38.672 (37.833) Prec@5 62.500 (63.771)
Epoch: [21][2260/5005] Time 0.361 (0.223) Data 0.277 (0.072) Loss 2.7589 (2.8415) Prec@1 38.281 (37.832) Prec@5 62.891 (63.774)
Epoch: [21][2270/5005] Time 0.201 (0.223) Data 0.040 (0.072) Loss 2.8979 (2.8412) Prec@1 36.328 (37.839) Prec@5 62.500 (63.777)
Epoch: [21][2280/5005] Time 0.198 (0.223) Data 0.086 (0.072) Loss 2.7811 (2.8412) Prec@1 38.672 (37.838) Prec@5 67.188 (63.780)
Epoch: [21][2290/5005] Time 0.200 (0.223) Data 0.115 (0.072) Loss 2.6658 (2.8411) Prec@1 42.969 (37.842) Prec@5 67.969 (63.785)
Epoch: [21][2300/5005] Time 0.203 (0.223) Data 0.046 (0.072) Loss 2.8788 (2.8412) Prec@1 39.844 (37.845) Prec@5 63.281 (63.780)
Epoch: [21][2310/5005] Time 0.203 (0.223) Data 0.046 (0.072) Loss 2.6440 (2.8410) Prec@1 41.406 (37.852) Prec@5 62.109 (63.783)
Epoch: [21][2320/5005] Time 0.201 (0.223) Data 0.055 (0.072) Loss 2.8968 (2.8410) Prec@1 40.625 (37.851) Prec@5 63.281 (63.783)
Epoch: [21][2330/5005] Time 0.192 (0.223) Data 0.053 (0.072) Loss 2.7227 (2.8408) Prec@1 41.016 (37.854) Prec@5 66.016 (63.785)
Epoch: [21][2340/5005] Time 0.203 (0.223) Data 0.043 (0.072) Loss 2.8356 (2.8407) Prec@1 37.891 (37.857) Prec@5 63.281 (63.787)
Epoch: [21][2350/5005] Time 0.338 (0.224) Data 0.250 (0.073) Loss 2.7668 (2.8405) Prec@1 39.062 (37.858) Prec@5 61.719 (63.786)
Epoch: [21][2360/5005] Time 0.196 (0.223) Data 0.043 (0.073) Loss 2.8367 (2.8406) Prec@1 42.188 (37.859) Prec@5 65.625 (63.783)
Epoch: [21][2370/5005] Time 0.194 (0.223) Data 0.056 (0.073) Loss 2.8780 (2.8406) Prec@1 33.984 (37.858) Prec@5 61.719 (63.780)
Epoch: [21][2380/5005] Time 0.210 (0.223) Data 0.049 (0.073) Loss 2.8710 (2.8403) Prec@1 41.016 (37.864) Prec@5 63.281 (63.787)
Epoch: [21][2390/5005] Time 0.216 (0.223) Data 0.044 (0.073) Loss 2.8490 (2.8401) Prec@1 36.719 (37.868) Prec@5 64.844 (63.791)
Epoch: [21][2400/5005] Time 0.624 (0.224) Data 0.540 (0.073) Loss 2.8177 (2.8401) Prec@1 38.281 (37.866) Prec@5 63.672 (63.792)
Epoch: [21][2410/5005] Time 0.200 (0.223) Data 0.047 (0.073) Loss 2.9264 (2.8402) Prec@1 35.547 (37.865) Prec@5 62.891 (63.785)
Epoch: [21][2420/5005] Time 0.201 (0.223) Data 0.051 (0.073) Loss 2.9740 (2.8402) Prec@1 36.328 (37.868) Prec@5 62.500 (63.788)
Epoch: [21][2430/5005] Time 0.200 (0.223) Data 0.045 (0.073) Loss 2.7261 (2.8404) Prec@1 39.062 (37.865) Prec@5 64.453 (63.779)
Epoch: [21][2440/5005] Time 0.194 (0.223) Data 0.053 (0.073) Loss 2.6518 (2.8402) Prec@1 42.188 (37.873) Prec@5 67.188 (63.779)
Epoch: [21][2450/5005] Time 0.199 (0.223) Data 0.045 (0.073) Loss 2.8044 (2.8400) Prec@1 37.500 (37.877) Prec@5 62.500 (63.786)
Epoch: [21][2460/5005] Time 0.203 (0.223) Data 0.047 (0.073) Loss 2.8117 (2.8398) Prec@1 33.984 (37.877) Prec@5 64.453 (63.788)
Epoch: [21][2470/5005] Time 0.207 (0.223) Data 0.044 (0.073) Loss 2.7824 (2.8398) Prec@1 40.625 (37.876) Prec@5 60.156 (63.786)
Epoch: [21][2480/5005] Time 0.208 (0.223) Data 0.046 (0.073) Loss 2.9629 (2.8398) Prec@1 36.328 (37.873) Prec@5 62.109 (63.788)
Epoch: [21][2490/5005] Time 0.463 (0.223) Data 0.377 (0.073) Loss 2.5960 (2.8398) Prec@1 41.016 (37.873) Prec@5 68.359 (63.787)
Epoch: [21][2500/5005] Time 0.210 (0.223) Data 0.065 (0.073) Loss 2.8281 (2.8396) Prec@1 39.844 (37.878) Prec@5 63.672 (63.790)
Epoch: [21][2510/5005] Time 0.200 (0.223) Data 0.047 (0.073) Loss 2.8677 (2.8398) Prec@1 38.672 (37.878) Prec@5 62.109 (63.784)
Epoch: [21][2520/5005] Time 0.200 (0.223) Data 0.043 (0.073) Loss 2.5979 (2.8396) Prec@1 41.406 (37.883) Prec@5 68.359 (63.787)
Epoch: [21][2530/5005] Time 0.197 (0.223) Data 0.051 (0.073) Loss 3.0402 (2.8398) Prec@1 33.594 (37.876) Prec@5 57.812 (63.783)
Epoch: [21][2540/5005] Time 0.198 (0.223) Data 0.096 (0.073) Loss 2.7696 (2.8397) Prec@1 37.109 (37.879) Prec@5 67.188 (63.790)
Epoch: [21][2550/5005] Time 0.200 (0.223) Data 0.046 (0.073) Loss 2.8194 (2.8397) Prec@1 33.594 (37.876) Prec@5 64.453 (63.793)
Epoch: [21][2560/5005] Time 0.213 (0.223) Data 0.046 (0.073) Loss 2.8883 (2.8399) Prec@1 39.062 (37.875) Prec@5 63.672 (63.784)
Epoch: [21][2570/5005] Time 0.207 (0.223) Data 0.044 (0.073) Loss 2.7653 (2.8400) Prec@1 36.719 (37.871) Prec@5 67.969 (63.781)
Epoch: [21][2580/5005] Time 0.208 (0.223) Data 0.055 (0.073) Loss 2.7922 (2.8403) Prec@1 42.188 (37.868) Prec@5 64.453 (63.778)
Epoch: [21][2590/5005] Time 0.213 (0.223) Data 0.052 (0.073) Loss 3.0350 (2.8401) Prec@1 37.500 (37.874) Prec@5 62.891 (63.783)
Epoch: [21][2600/5005] Time 0.210 (0.223) Data 0.045 (0.073) Loss 3.0007 (2.8402) Prec@1 33.984 (37.880) Prec@5 58.203 (63.779)
Epoch: [21][2610/5005] Time 0.201 (0.223) Data 0.049 (0.073) Loss 2.9705 (2.8399) Prec@1 38.672 (37.884) Prec@5 58.984 (63.783)
Epoch: [21][2620/5005] Time 0.201 (0.223) Data 0.046 (0.073) Loss 2.8314 (2.8399) Prec@1 36.328 (37.880) Prec@5 63.672 (63.785)
Epoch: [21][2630/5005] Time 0.278 (0.223) Data 0.188 (0.073) Loss 3.1388 (2.8404) Prec@1 34.375 (37.875) Prec@5 59.375 (63.778)
Epoch: [21][2640/5005] Time 0.203 (0.223) Data 0.041 (0.073) Loss 2.9684 (2.8403) Prec@1 35.938 (37.880) Prec@5 58.203 (63.779)
Epoch: [21][2650/5005] Time 0.204 (0.223) Data 0.046 (0.074) Loss 2.9887 (2.8404) Prec@1 37.109 (37.881) Prec@5 61.328 (63.777)
Epoch: [21][2660/5005] Time 0.200 (0.223) Data 0.046 (0.074) Loss 2.7835 (2.8403) Prec@1 37.891 (37.880) Prec@5 67.969 (63.778)
Epoch: [21][2670/5005] Time 0.287 (0.223) Data 0.200 (0.074) Loss 2.5346 (2.8400) Prec@1 41.797 (37.890) Prec@5 69.531 (63.784)
Epoch: [21][2680/5005] Time 0.191 (0.224) Data 0.055 (0.074) Loss 2.5925 (2.8399) Prec@1 43.750 (37.887) Prec@5 70.703 (63.782)
Epoch: [21][2690/5005] Time 0.204 (0.224) Data 0.042 (0.074) Loss 2.6308 (2.8398) Prec@1 46.094 (37.889) Prec@5 71.875 (63.786)
Epoch: [21][2700/5005] Time 0.195 (0.224) Data 0.044 (0.074) Loss 2.8186 (2.8399) Prec@1 41.406 (37.889) Prec@5 65.234 (63.784)
Epoch: [21][2710/5005] Time 0.195 (0.224) Data 0.048 (0.074) Loss 2.7109 (2.8401) Prec@1 39.062 (37.886) Prec@5 62.891 (63.779)
Epoch: [21][2720/5005] Time 0.183 (0.224) Data 0.100 (0.074) Loss 2.7714 (2.8401) Prec@1 37.891 (37.881) Prec@5 69.531 (63.778)
Epoch: [21][2730/5005] Time 0.205 (0.224) Data 0.051 (0.074) Loss 2.8660 (2.8400) Prec@1 37.891 (37.879) Prec@5 60.156 (63.779)
Epoch: [21][2740/5005] Time 0.199 (0.224) Data 0.086 (0.074) Loss 2.7671 (2.8401) Prec@1 40.234 (37.878) Prec@5 67.188 (63.780)
Epoch: [21][2750/5005] Time 0.191 (0.224) Data 0.048 (0.074) Loss 2.8703 (2.8401) Prec@1 37.891 (37.880) Prec@5 60.938 (63.779)
Epoch: [21][2760/5005] Time 0.202 (0.224) Data 0.048 (0.074) Loss 2.8480 (2.8400) Prec@1 34.766 (37.877) Prec@5 61.719 (63.780)
Epoch: [21][2770/5005] Time 0.428 (0.224) Data 0.349 (0.074) Loss 2.8399 (2.8401) Prec@1 39.062 (37.872) Prec@5 65.234 (63.778)
Epoch: [21][2780/5005] Time 0.198 (0.224) Data 0.049 (0.074) Loss 3.1178 (2.8401) Prec@1 30.859 (37.876) Prec@5 57.031 (63.776)
Epoch: [21][2790/5005] Time 0.349 (0.224) Data 0.266 (0.074) Loss 3.3183 (2.8403) Prec@1 28.516 (37.875) Prec@5 52.734 (63.769)
Epoch: [21][2800/5005] Time 0.205 (0.224) Data 0.044 (0.074) Loss 2.6434 (2.8403) Prec@1 44.531 (37.877) Prec@5 67.188 (63.772)
Epoch: [21][2810/5005] Time 0.203 (0.224) Data 0.044 (0.074) Loss 2.9628 (2.8403) Prec@1 33.984 (37.876) Prec@5 60.547 (63.771)
Epoch: [21][2820/5005] Time 0.294 (0.224) Data 0.204 (0.074) Loss 2.5525 (2.8403) Prec@1 43.359 (37.876) Prec@5 65.234 (63.771)
Epoch: [21][2830/5005] Time 0.314 (0.224) Data 0.228 (0.075) Loss 3.2541 (2.8404) Prec@1 31.250 (37.871) Prec@5 56.250 (63.768)
Epoch: [21][2840/5005] Time 0.202 (0.224) Data 0.040 (0.075) Loss 2.8612 (2.8404) Prec@1 38.672 (37.868) Prec@5 67.578 (63.772)
Epoch: [21][2850/5005] Time 0.205 (0.224) Data 0.045 (0.075) Loss 2.7371 (2.8402) Prec@1 41.406 (37.872) Prec@5 64.062 (63.775)
Epoch: [21][2860/5005] Time 0.201 (0.224) Data 0.045 (0.075) Loss 2.8327 (2.8403) Prec@1 42.969 (37.874) Prec@5 62.891 (63.775)
Epoch: [21][2870/5005] Time 0.196 (0.224) Data 0.046 (0.075) Loss 2.8122 (2.8399) Prec@1 36.719 (37.881) Prec@5 64.453 (63.781)
Epoch: [21][2880/5005] Time 0.205 (0.224) Data 0.040 (0.075) Loss 2.7663 (2.8400) Prec@1 36.719 (37.880) Prec@5 66.797 (63.783)
Epoch: [21][2890/5005] Time 0.205 (0.224) Data 0.054 (0.075) Loss 2.9143 (2.8399) Prec@1 33.594 (37.883) Prec@5 61.328 (63.783)
Epoch: [21][2900/5005] Time 0.203 (0.224) Data 0.050 (0.075) Loss 2.5687 (2.8397) Prec@1 41.016 (37.888) Prec@5 69.141 (63.787)
Epoch: [21][2910/5005] Time 0.192 (0.224) Data 0.045 (0.075) Loss 2.8027 (2.8398) Prec@1 35.938 (37.887) Prec@5 64.453 (63.787)
Epoch: [21][2920/5005] Time 0.208 (0.224) Data 0.049 (0.075) Loss 2.8164 (2.8399) Prec@1 39.062 (37.888) Prec@5 64.062 (63.788)
Epoch: [21][2930/5005] Time 0.214 (0.224) Data 0.046 (0.075) Loss 3.0418 (2.8400) Prec@1 33.984 (37.890) Prec@5 61.328 (63.787)
Epoch: [21][2940/5005] Time 0.206 (0.224) Data 0.050 (0.075) Loss 2.8351 (2.8399) Prec@1 37.500 (37.889) Prec@5 62.109 (63.788)
Epoch: [21][2950/5005] Time 0.198 (0.224) Data 0.045 (0.075) Loss 3.0998 (2.8398) Prec@1 33.594 (37.887) Prec@5 59.766 (63.789)
Epoch: [21][2960/5005] Time 0.197 (0.224) Data 0.045 (0.075) Loss 2.8859 (2.8397) Prec@1 39.062 (37.890) Prec@5 61.719 (63.789)
Epoch: [21][2970/5005] Time 0.268 (0.224) Data 0.180 (0.075) Loss 3.0371 (2.8397) Prec@1 31.641 (37.889) Prec@5 64.844 (63.790)
Epoch: [21][2980/5005] Time 0.223 (0.224) Data 0.135 (0.075) Loss 2.9481 (2.8397) Prec@1 37.891 (37.887) Prec@5 63.281 (63.792)
Epoch: [21][2990/5005] Time 0.199 (0.224) Data 0.040 (0.075) Loss 2.8031 (2.8396) Prec@1 39.062 (37.884) Prec@5 66.406 (63.791)
Epoch: [21][3000/5005] Time 0.204 (0.224) Data 0.048 (0.075) Loss 2.8895 (2.8396) Prec@1 38.672 (37.885) Prec@5 61.719 (63.792)
Epoch: [21][3010/5005] Time 0.212 (0.224) Data 0.133 (0.075) Loss 2.8315 (2.8398) Prec@1 35.547 (37.879) Prec@5 63.672 (63.789)
Epoch: [21][3020/5005] Time 0.206 (0.224) Data 0.045 (0.075) Loss 2.6690 (2.8399) Prec@1 40.625 (37.877) Prec@5 66.406 (63.787)
Epoch: [21][3030/5005] Time 0.197 (0.224) Data 0.047 (0.075) Loss 2.8686 (2.8400) Prec@1 39.844 (37.878) Prec@5 65.234 (63.787)
Epoch: [21][3040/5005] Time 0.197 (0.224) Data 0.047 (0.075) Loss 2.7198 (2.8400) Prec@1 37.500 (37.880) Prec@5 64.844 (63.786)
Epoch: [21][3050/5005] Time 0.200 (0.224) Data 0.045 (0.075) Loss 2.8414 (2.8400) Prec@1 31.250 (37.875) Prec@5 62.500 (63.787)
Epoch: [21][3060/5005] Time 0.193 (0.224) Data 0.047 (0.075) Loss 2.6760 (2.8398) Prec@1 39.453 (37.874) Prec@5 64.844 (63.787)
Epoch: [21][3070/5005] Time 0.202 (0.224) Data 0.043 (0.075) Loss 2.8013 (2.8399) Prec@1 36.719 (37.874) Prec@5 62.109 (63.787)
Epoch: [21][3080/5005] Time 0.202 (0.224) Data 0.039 (0.075) Loss 2.8393 (2.8398) Prec@1 36.328 (37.875) Prec@5 62.500 (63.789)
Epoch: [21][3090/5005] Time 0.198 (0.224) Data 0.049 (0.075) Loss 2.9137 (2.8398) Prec@1 30.859 (37.871) Prec@5 62.500 (63.791)
Epoch: [21][3100/5005] Time 0.206 (0.224) Data 0.045 (0.075) Loss 2.9078 (2.8399) Prec@1 35.156 (37.869) Prec@5 61.719 (63.793)
Epoch: [21][3110/5005] Time 0.187 (0.224) Data 0.095 (0.075) Loss 2.7860 (2.8398) Prec@1 34.375 (37.870) Prec@5 66.016 (63.795)
Epoch: [21][3120/5005] Time 0.204 (0.224) Data 0.051 (0.075) Loss 2.9031 (2.8398) Prec@1 39.453 (37.867) Prec@5 62.500 (63.793)
Epoch: [21][3130/5005] Time 0.200 (0.224) Data 0.050 (0.075) Loss 3.0408 (2.8397) Prec@1 31.641 (37.869) Prec@5 57.812 (63.796)
Epoch: [21][3140/5005] Time 0.194 (0.224) Data 0.047 (0.075) Loss 2.5792 (2.8394) Prec@1 42.578 (37.870) Prec@5 66.406 (63.801)
Epoch: [21][3150/5005] Time 0.197 (0.224) Data 0.048 (0.075) Loss 2.8796 (2.8394) Prec@1 37.891 (37.875) Prec@5 62.891 (63.804)
Epoch: [21][3160/5005] Time 0.197 (0.224) Data 0.044 (0.075) Loss 2.7139 (2.8394) Prec@1 37.500 (37.881) Prec@5 65.625 (63.805)
Epoch: [21][3170/5005] Time 0.203 (0.224) Data 0.042 (0.075) Loss 2.9334 (2.8395) Prec@1 37.891 (37.880) Prec@5 64.453 (63.804)
Epoch: [21][3180/5005] Time 0.197 (0.224) Data 0.090 (0.075) Loss 2.6670 (2.8395) Prec@1 42.969 (37.882) Prec@5 66.016 (63.803)
Epoch: [21][3190/5005] Time 0.210 (0.224) Data 0.042 (0.075) Loss 2.7066 (2.8395) Prec@1 39.844 (37.881) Prec@5 64.453 (63.806)
Epoch: [21][3200/5005] Time 0.206 (0.224) Data 0.042 (0.075) Loss 2.8219 (2.8394) Prec@1 37.891 (37.885) Prec@5 62.500 (63.811)
Epoch: [21][3210/5005] Time 0.193 (0.224) Data 0.043 (0.075) Loss 2.8886 (2.8394) Prec@1 37.891 (37.887) Prec@5 64.062 (63.812)
Epoch: [21][3220/5005] Time 0.203 (0.224) Data 0.047 (0.075) Loss 2.8053 (2.8394) Prec@1 38.672 (37.895) Prec@5 64.062 (63.810)
Epoch: [21][3230/5005] Time 0.359 (0.224) Data 0.276 (0.075) Loss 2.8211 (2.8391) Prec@1 38.672 (37.896) Prec@5 63.672 (63.814)
Epoch: [21][3240/5005] Time 0.584 (0.224) Data 0.508 (0.076) Loss 3.0910 (2.8395) Prec@1 30.078 (37.887) Prec@5 60.938 (63.807)
Epoch: [21][3250/5005] Time 0.197 (0.224) Data 0.054 (0.076) Loss 2.7988 (2.8397) Prec@1 39.844 (37.885) Prec@5 66.797 (63.803)
Epoch: [21][3260/5005] Time 0.199 (0.224) Data 0.046 (0.076) Loss 2.7109 (2.8397) Prec@1 41.016 (37.884) Prec@5 67.188 (63.804)
Epoch: [21][3270/5005] Time 0.199 (0.224) Data 0.047 (0.076) Loss 3.0818 (2.8396) Prec@1 33.594 (37.886) Prec@5 59.766 (63.807)
Epoch: [21][3280/5005] Time 0.200 (0.224) Data 0.044 (0.076) Loss 2.6954 (2.8397) Prec@1 42.969 (37.884) Prec@5 67.578 (63.807)
Epoch: [21][3290/5005] Time 0.245 (0.224) Data 0.162 (0.076) Loss 2.7830 (2.8396) Prec@1 37.500 (37.883) Prec@5 64.453 (63.813)
Epoch: [21][3300/5005] Time 0.204 (0.224) Data 0.040 (0.076) Loss 2.7553 (2.8395) Prec@1 36.328 (37.883) Prec@5 64.062 (63.810)
Epoch: [21][3310/5005] Time 0.199 (0.224) Data 0.044 (0.076) Loss 2.7015 (2.8395) Prec@1 39.453 (37.885) Prec@5 64.062 (63.808)
Epoch: [21][3320/5005] Time 0.204 (0.224) Data 0.045 (0.076) Loss 2.9102 (2.8395) Prec@1 39.453 (37.885) Prec@5 63.281 (63.808)
Epoch: [21][3330/5005] Time 0.205 (0.224) Data 0.045 (0.076) Loss 2.9093 (2.8395) Prec@1 37.500 (37.885) Prec@5 60.156 (63.806)
Epoch: [21][3340/5005] Time 0.203 (0.224) Data 0.044 (0.075) Loss 2.9422 (2.8395) Prec@1 37.109 (37.885) Prec@5 61.719 (63.808)
Epoch: [21][3350/5005] Time 0.368 (0.224) Data 0.276 (0.075) Loss 3.0471 (2.8397) Prec@1 36.328 (37.880) Prec@5 60.938 (63.802)
Epoch: [21][3360/5005] Time 0.200 (0.224) Data 0.057 (0.075) Loss 2.7574 (2.8398) Prec@1 39.844 (37.876) Prec@5 64.844 (63.803)
Epoch: [21][3370/5005] Time 0.208 (0.224) Data 0.051 (0.075) Loss 2.8319 (2.8400) Prec@1 35.156 (37.876) Prec@5 66.016 (63.802)
Epoch: [21][3380/5005] Time 0.198 (0.224) Data 0.054 (0.075) Loss 2.7426 (2.8399) Prec@1 39.453 (37.877) Prec@5 67.969 (63.803)
Epoch: [21][3390/5005] Time 0.204 (0.224) Data 0.049 (0.075) Loss 2.8666 (2.8400) Prec@1 39.844 (37.875) Prec@5 62.500 (63.800)
Epoch: [21][3400/5005] Time 0.205 (0.224) Data 0.056 (0.075) Loss 2.7485 (2.8402) Prec@1 39.062 (37.871) Prec@5 64.844 (63.798)
Epoch: [21][3410/5005] Time 0.199 (0.224) Data 0.039 (0.076) Loss 2.7485 (2.8400) Prec@1 43.750 (37.876) Prec@5 64.453 (63.799)
Epoch: [21][3420/5005] Time 0.290 (0.224) Data 0.195 (0.076) Loss 2.8067 (2.8399) Prec@1 40.625 (37.874) Prec@5 65.234 (63.802)
Epoch: [21][3430/5005] Time 0.199 (0.224) Data 0.056 (0.076) Loss 2.8114 (2.8398) Prec@1 40.234 (37.877) Prec@5 62.109 (63.802)
Epoch: [21][3440/5005] Time 0.204 (0.224) Data 0.050 (0.076) Loss 2.9133 (2.8397) Prec@1 38.672 (37.876) Prec@5 61.328 (63.805)
Epoch: [21][3450/5005] Time 0.201 (0.224) Data 0.051 (0.076) Loss 2.5089 (2.8395) Prec@1 42.188 (37.882) Prec@5 69.531 (63.811)
Epoch: [21][3460/5005] Time 0.202 (0.224) Data 0.059 (0.076) Loss 2.7943 (2.8397) Prec@1 39.844 (37.880) Prec@5 63.672 (63.805)
Epoch: [21][3470/5005] Time 0.211 (0.224) Data 0.046 (0.076) Loss 2.6772 (2.8395) Prec@1 38.281 (37.884) Prec@5 65.625 (63.810)
Epoch: [21][3480/5005] Time 0.201 (0.224) Data 0.052 (0.076) Loss 2.8905 (2.8394) Prec@1 36.719 (37.884) Prec@5 65.234 (63.815)
Epoch: [21][3490/5005] Time 0.205 (0.224) Data 0.054 (0.076) Loss 2.9681 (2.8395) Prec@1 33.984 (37.880) Prec@5 63.672 (63.811)
Epoch: [21][3500/5005] Time 0.206 (0.224) Data 0.044 (0.076) Loss 2.7084 (2.8397) Prec@1 40.625 (37.878) Prec@5 63.281 (63.806)
Epoch: [21][3510/5005] Time 0.205 (0.224) Data 0.043 (0.076) Loss 2.8478 (2.8397) Prec@1 34.766 (37.875) Prec@5 62.109 (63.806)
Epoch: [21][3520/5005] Time 0.195 (0.224) Data 0.045 (0.076) Loss 3.0105 (2.8398) Prec@1 37.891 (37.872) Prec@5 61.719 (63.804)
Epoch: [21][3530/5005] Time 0.204 (0.224) Data 0.041 (0.076) Loss 2.8124 (2.8396) Prec@1 39.453 (37.876) Prec@5 63.672 (63.807)
Epoch: [21][3540/5005] Time 0.200 (0.224) Data 0.050 (0.076) Loss 2.7310 (2.8393) Prec@1 39.844 (37.883) Prec@5 67.969 (63.814)
Epoch: [21][3550/5005] Time 0.255 (0.224) Data 0.174 (0.076) Loss 2.6854 (2.8391) Prec@1 41.406 (37.885) Prec@5 62.891 (63.817)
Epoch: [21][3560/5005] Time 0.191 (0.224) Data 0.057 (0.076) Loss 2.9614 (2.8392) Prec@1 36.328 (37.886) Prec@5 60.938 (63.816)
Epoch: [21][3570/5005] Time 0.190 (0.224) Data 0.060 (0.076) Loss 2.8762 (2.8392) Prec@1 40.234 (37.885) Prec@5 63.672 (63.817)
Epoch: [21][3580/5005] Time 0.198 (0.224) Data 0.117 (0.076) Loss 2.7075 (2.8392) Prec@1 41.016 (37.884) Prec@5 66.797 (63.817)
Epoch: [21][3590/5005] Time 0.196 (0.224) Data 0.043 (0.076) Loss 2.8361 (2.8391) Prec@1 36.328 (37.888) Prec@5 61.328 (63.819)
Epoch: [21][3600/5005] Time 0.201 (0.224) Data 0.051 (0.076) Loss 2.8601 (2.8389) Prec@1 34.766 (37.891) Prec@5 65.234 (63.822)
Epoch: [21][3610/5005] Time 0.195 (0.224) Data 0.049 (0.076) Loss 2.7361 (2.8390) Prec@1 39.453 (37.889) Prec@5 64.453 (63.820)
Epoch: [21][3620/5005] Time 0.206 (0.224) Data 0.047 (0.076) Loss 3.0174 (2.8389) Prec@1 38.672 (37.893) Prec@5 60.547 (63.823)
Epoch: [21][3630/5005] Time 0.196 (0.224) Data 0.058 (0.076) Loss 3.1493 (2.8388) Prec@1 30.469 (37.895) Prec@5 60.938 (63.825)
Epoch: [21][3640/5005] Time 0.199 (0.224) Data 0.052 (0.076) Loss 2.9490 (2.8388) Prec@1 35.156 (37.895) Prec@5 60.938 (63.825)
Epoch: [21][3650/5005] Time 0.204 (0.224) Data 0.047 (0.076) Loss 2.7748 (2.8390) Prec@1 39.453 (37.891) Prec@5 66.016 (63.825)
Epoch: [21][3660/5005] Time 0.196 (0.224) Data 0.059 (0.076) Loss 2.9283 (2.8387) Prec@1 33.594 (37.892) Prec@5 63.281 (63.829)
Epoch: [21][3670/5005] Time 0.202 (0.224) Data 0.102 (0.076) Loss 2.9912 (2.8389) Prec@1 36.719 (37.889) Prec@5 61.328 (63.826)
Epoch: [21][3680/5005] Time 0.255 (0.224) Data 0.167 (0.076) Loss 2.9160 (2.8390) Prec@1 33.203 (37.885) Prec@5 60.547 (63.820)
Epoch: [21][3690/5005] Time 0.199 (0.224) Data 0.053 (0.076) Loss 2.7680 (2.8391) Prec@1 34.766 (37.884) Prec@5 65.625 (63.820)
Epoch: [21][3700/5005] Time 0.569 (0.224) Data 0.485 (0.076) Loss 2.9642 (2.8392) Prec@1 39.062 (37.880) Prec@5 65.234 (63.818)
Epoch: [21][3710/5005] Time 0.207 (0.224) Data 0.055 (0.076) Loss 2.7807 (2.8392) Prec@1 38.672 (37.879) Prec@5 65.234 (63.820)
Epoch: [21][3720/5005] Time 0.194 (0.224) Data 0.059 (0.076) Loss 2.9260 (2.8391) Prec@1 36.719 (37.880) Prec@5 67.578 (63.823)
Epoch: [21][3730/5005] Time 0.196 (0.224) Data 0.043 (0.076) Loss 2.7379 (2.8390) Prec@1 38.672 (37.882) Prec@5 65.625 (63.824)
Epoch: [21][3740/5005] Time 0.192 (0.224) Data 0.050 (0.076) Loss 2.7851 (2.8386) Prec@1 41.406 (37.890) Prec@5 64.453 (63.829)
Epoch: [21][3750/5005] Time 0.198 (0.224) Data 0.047 (0.076) Loss 2.6945 (2.8388) Prec@1 38.672 (37.887) Prec@5 67.578 (63.824)
Epoch: [21][3760/5005] Time 0.273 (0.224) Data 0.184 (0.076) Loss 2.9572 (2.8389) Prec@1 35.156 (37.886) Prec@5 60.156 (63.821)
Epoch: [21][3770/5005] Time 0.220 (0.224) Data 0.138 (0.076) Loss 2.9078 (2.8388) Prec@1 37.891 (37.888) Prec@5 61.719 (63.820)
Epoch: [21][3780/5005] Time 0.198 (0.224) Data 0.047 (0.076) Loss 2.9170 (2.8387) Prec@1 37.891 (37.889) Prec@5 62.891 (63.823)
Epoch: [21][3790/5005] Time 0.206 (0.224) Data 0.052 (0.076) Loss 2.9297 (2.8389) Prec@1 34.766 (37.886) Prec@5 61.719 (63.822)
Epoch: [21][3800/5005] Time 0.197 (0.224) Data 0.042 (0.076) Loss 2.7474 (2.8390) Prec@1 39.844 (37.885) Prec@5 68.750 (63.819)
Epoch: [21][3810/5005] Time 0.200 (0.224) Data 0.042 (0.076) Loss 2.6785 (2.8390) Prec@1 41.016 (37.885) Prec@5 68.359 (63.820)
Epoch: [21][3820/5005] Time 0.507 (0.224) Data 0.415 (0.077) Loss 2.8046 (2.8389) Prec@1 38.281 (37.889) Prec@5 67.578 (63.823)
Epoch: [21][3830/5005] Time 0.199 (0.224) Data 0.048 (0.077) Loss 2.9931 (2.8388) Prec@1 37.500 (37.889) Prec@5 60.547 (63.823)
Epoch: [21][3840/5005] Time 0.199 (0.224) Data 0.063 (0.077) Loss 3.1711 (2.8390) Prec@1 29.688 (37.887) Prec@5 55.469 (63.822)
Epoch: [21][3850/5005] Time 0.199 (0.224) Data 0.047 (0.076) Loss 2.8892 (2.8390) Prec@1 36.328 (37.885) Prec@5 65.625 (63.825)
Epoch: [21][3860/5005] Time 0.204 (0.224) Data 0.045 (0.076) Loss 2.5648 (2.8390) Prec@1 45.312 (37.889) Prec@5 69.922 (63.824)
Epoch: [21][3870/5005] Time 0.259 (0.224) Data 0.169 (0.076) Loss 2.9039 (2.8391) Prec@1 37.109 (37.885) Prec@5 60.938 (63.820)
Epoch: [21][3880/5005] Time 0.216 (0.224) Data 0.043 (0.076) Loss 2.7287 (2.8392) Prec@1 40.625 (37.886) Prec@5 66.406 (63.822)
Epoch: [21][3890/5005] Time 0.195 (0.224) Data 0.048 (0.076) Loss 3.1353 (2.8390) Prec@1 33.984 (37.890) Prec@5 60.547 (63.822)
Epoch: [21][3900/5005] Time 0.205 (0.224) Data 0.040 (0.076) Loss 2.9800 (2.8392) Prec@1 34.766 (37.888) Prec@5 60.156 (63.821)
Epoch: [21][3910/5005] Time 0.203 (0.224) Data 0.092 (0.076) Loss 2.7894 (2.8391) Prec@1 38.281 (37.888) Prec@5 65.234 (63.822)
Epoch: [21][3920/5005] Time 0.209 (0.224) Data 0.128 (0.076) Loss 2.9316 (2.8392) Prec@1 37.891 (37.888) Prec@5 62.109 (63.820)
Epoch: [21][3930/5005] Time 0.202 (0.224) Data 0.048 (0.077) Loss 2.6943 (2.8390) Prec@1 39.062 (37.889) Prec@5 66.016 (63.823)
Epoch: [21][3940/5005] Time 0.211 (0.224) Data 0.045 (0.077) Loss 2.7657 (2.8391) Prec@1 39.453 (37.889) Prec@5 64.453 (63.822)
Epoch: [21][3950/5005] Time 0.208 (0.224) Data 0.042 (0.077) Loss 2.8262 (2.8390) Prec@1 42.188 (37.893) Prec@5 63.281 (63.824)
Epoch: [21][3960/5005] Time 0.207 (0.224) Data 0.043 (0.077) Loss 2.7287 (2.8391) Prec@1 37.891 (37.890) Prec@5 64.453 (63.824)
Epoch: [21][3970/5005] Time 0.615 (0.224) Data 0.532 (0.077) Loss 2.8711 (2.8391) Prec@1 35.547 (37.890) Prec@5 63.672 (63.824)
Epoch: [21][3980/5005] Time 0.203 (0.224) Data 0.067 (0.077) Loss 2.6832 (2.8391) Prec@1 37.891 (37.891) Prec@5 70.312 (63.828)
Epoch: [21][3990/5005] Time 0.202 (0.224) Data 0.058 (0.077) Loss 3.0273 (2.8392) Prec@1 35.547 (37.887) Prec@5 64.062 (63.825)
Epoch: [21][4000/5005] Time 0.200 (0.224) Data 0.051 (0.077) Loss 2.7434 (2.8392) Prec@1 39.453 (37.885) Prec@5 64.453 (63.826)
Epoch: [21][4010/5005] Time 0.205 (0.224) Data 0.050 (0.077) Loss 2.8293 (2.8392) Prec@1 40.234 (37.889) Prec@5 65.234 (63.827)
Epoch: [21][4020/5005] Time 0.296 (0.224) Data 0.212 (0.077) Loss 3.0447 (2.8392) Prec@1 33.203 (37.886) Prec@5 60.547 (63.828)
Epoch: [21][4030/5005] Time 0.219 (0.224) Data 0.139 (0.077) Loss 3.0910 (2.8395) Prec@1 33.594 (37.882) Prec@5 60.938 (63.823)
Epoch: [21][4040/5005] Time 0.196 (0.224) Data 0.049 (0.077) Loss 2.8671 (2.8396) Prec@1 39.453 (37.882) Prec@5 60.156 (63.820)
Epoch: [21][4050/5005] Time 0.202 (0.224) Data 0.051 (0.077) Loss 3.0319 (2.8396) Prec@1 35.156 (37.883) Prec@5 59.766 (63.821)
Epoch: [21][4060/5005] Time 0.193 (0.224) Data 0.054 (0.077) Loss 2.8941 (2.8397) Prec@1 37.109 (37.878) Prec@5 60.938 (63.819)
Epoch: [21][4070/5005] Time 0.198 (0.224) Data 0.039 (0.077) Loss 2.9819 (2.8397) Prec@1 38.281 (37.879) Prec@5 64.453 (63.820)
Epoch: [21][4080/5005] Time 0.209 (0.224) Data 0.047 (0.077) Loss 2.7473 (2.8397) Prec@1 37.891 (37.878) Prec@5 64.844 (63.818)
Epoch: [21][4090/5005] Time 0.200 (0.224) Data 0.047 (0.077) Loss 2.9961 (2.8398) Prec@1 33.203 (37.877) Prec@5 59.766 (63.815)
Epoch: [21][4100/5005] Time 0.211 (0.224) Data 0.043 (0.077) Loss 2.8194 (2.8398) Prec@1 38.672 (37.876) Prec@5 66.406 (63.816)
Epoch: [21][4110/5005] Time 0.210 (0.224) Data 0.051 (0.077) Loss 3.1594 (2.8399) Prec@1 29.297 (37.871) Prec@5 55.859 (63.813)
Epoch: [21][4120/5005] Time 0.202 (0.224) Data 0.053 (0.077) Loss 3.0050 (2.8398) Prec@1 35.547 (37.872) Prec@5 63.281 (63.817)
Epoch: [21][4130/5005] Time 0.200 (0.224) Data 0.061 (0.077) Loss 2.9932 (2.8398) Prec@1 34.766 (37.868) Prec@5 60.938 (63.815)
Epoch: [21][4140/5005] Time 0.195 (0.224) Data 0.043 (0.077) Loss 2.8713 (2.8398) Prec@1 39.453 (37.869) Prec@5 64.062 (63.817)
Epoch: [21][4150/5005] Time 0.202 (0.224) Data 0.047 (0.077) Loss 3.1123 (2.8399) Prec@1 30.078 (37.865) Prec@5 58.984 (63.817)
Epoch: [21][4160/5005] Time 0.192 (0.224) Data 0.053 (0.077) Loss 2.7718 (2.8400) Prec@1 39.062 (37.865) Prec@5 65.234 (63.817)
Epoch: [21][4170/5005] Time 0.201 (0.224) Data 0.052 (0.077) Loss 2.7125 (2.8398) Prec@1 32.812 (37.867) Prec@5 63.281 (63.820)
Epoch: [21][4180/5005] Time 0.200 (0.224) Data 0.051 (0.077) Loss 2.7783 (2.8397) Prec@1 38.672 (37.866) Prec@5 64.844 (63.820)
Epoch: [21][4190/5005] Time 0.198 (0.224) Data 0.090 (0.077) Loss 2.6872 (2.8397) Prec@1 41.797 (37.868) Prec@5 65.234 (63.819)
Epoch: [21][4200/5005] Time 0.201 (0.224) Data 0.093 (0.077) Loss 2.7865 (2.8398) Prec@1 37.500 (37.866) Prec@5 62.500 (63.817)
Epoch: [21][4210/5005] Time 0.201 (0.224) Data 0.044 (0.077) Loss 2.8430 (2.8398) Prec@1 38.672 (37.868) Prec@5 62.109 (63.817)
Epoch: [21][4220/5005] Time 0.206 (0.224) Data 0.046 (0.077) Loss 3.0497 (2.8399) Prec@1 32.812 (37.867) Prec@5 62.891 (63.813)
Epoch: [21][4230/5005] Time 0.200 (0.224) Data 0.051 (0.077) Loss 2.8844 (2.8400) Prec@1 36.328 (37.867) Prec@5 62.891 (63.812)
Epoch: [21][4240/5005] Time 0.205 (0.224) Data 0.044 (0.077) Loss 2.7033 (2.8401) Prec@1 40.234 (37.866) Prec@5 63.281 (63.813)
Epoch: [21][4250/5005] Time 0.195 (0.224) Data 0.048 (0.077) Loss 2.6807 (2.8400) Prec@1 39.453 (37.868) Prec@5 66.016 (63.814)
Epoch: [21][4260/5005] Time 0.271 (0.224) Data 0.191 (0.077) Loss 2.9810 (2.8400) Prec@1 30.078 (37.866) Prec@5 60.938 (63.811)
Epoch: [21][4270/5005] Time 0.201 (0.224) Data 0.050 (0.077) Loss 3.0150 (2.8402) Prec@1 35.156 (37.866) Prec@5 63.281 (63.808)
Epoch: [21][4280/5005] Time 0.272 (0.224) Data 0.187 (0.077) Loss 2.9970 (2.8402) Prec@1 36.719 (37.867) Prec@5 56.641 (63.803)
Epoch: [21][4290/5005] Time 0.213 (0.224) Data 0.042 (0.077) Loss 3.1490 (2.8403) Prec@1 34.375 (37.867) Prec@5 57.031 (63.803)
Epoch: [21][4300/5005] Time 0.373 (0.224) Data 0.286 (0.077) Loss 2.6850 (2.8401) Prec@1 40.234 (37.870) Prec@5 68.359 (63.806)
Epoch: [21][4310/5005] Time 0.209 (0.224) Data 0.052 (0.077) Loss 2.8050 (2.8401) Prec@1 40.234 (37.870) Prec@5 60.156 (63.804)
Epoch: [21][4320/5005] Time 0.207 (0.224) Data 0.050 (0.077) Loss 2.8531 (2.8403) Prec@1 39.062 (37.871) Prec@5 63.672 (63.801)
Epoch: [21][4330/5005] Time 0.202 (0.224) Data 0.048 (0.077) Loss 2.8054 (2.8403) Prec@1 38.281 (37.872) Prec@5 62.109 (63.801)
Epoch: [21][4340/5005] Time 0.636 (0.224) Data 0.558 (0.077) Loss 2.7730 (2.8404) Prec@1 39.453 (37.869) Prec@5 66.016 (63.799)
Epoch: [21][4350/5005] Time 0.204 (0.224) Data 0.051 (0.077) Loss 2.8750 (2.8404) Prec@1 35.156 (37.869) Prec@5 62.891 (63.799)
Epoch: [21][4360/5005] Time 0.202 (0.224) Data 0.048 (0.077) Loss 2.6969 (2.8403) Prec@1 41.016 (37.872) Prec@5 67.969 (63.802)
Epoch: [21][4370/5005] Time 0.196 (0.224) Data 0.047 (0.077) Loss 2.8186 (2.8403) Prec@1 37.500 (37.874) Prec@5 67.969 (63.801)
Epoch: [21][4380/5005] Time 0.204 (0.224) Data 0.051 (0.077) Loss 2.9486 (2.8403) Prec@1 35.156 (37.870) Prec@5 59.766 (63.803)
Epoch: [21][4390/5005] Time 0.198 (0.224) Data 0.046 (0.077) Loss 2.9231 (2.8401) Prec@1 33.594 (37.875) Prec@5 61.719 (63.809)
Epoch: [21][4400/5005] Time 0.195 (0.224) Data 0.045 (0.077) Loss 2.7724 (2.8401) Prec@1 39.062 (37.876) Prec@5 65.234 (63.808)
Epoch: [21][4410/5005] Time 0.197 (0.224) Data 0.048 (0.077) Loss 2.7775 (2.8401) Prec@1 37.500 (37.877) Prec@5 63.281 (63.810)
Epoch: [21][4420/5005] Time 0.198 (0.224) Data 0.052 (0.077) Loss 2.4958 (2.8400) Prec@1 42.188 (37.874) Prec@5 67.188 (63.809)
Epoch: [21][4430/5005] Time 0.205 (0.224) Data 0.044 (0.077) Loss 2.8134 (2.8398) Prec@1 37.891 (37.881) Prec@5 62.109 (63.812)
Epoch: [21][4440/5005] Time 0.197 (0.224) Data 0.047 (0.077) Loss 2.9861 (2.8398) Prec@1 32.422 (37.881) Prec@5 63.672 (63.814)
Epoch: [21][4450/5005] Time 0.191 (0.224) Data 0.095 (0.077) Loss 2.7972 (2.8399) Prec@1 39.453 (37.881) Prec@5 64.453 (63.814)
Epoch: [21][4460/5005] Time 0.202 (0.224) Data 0.046 (0.077) Loss 2.8503 (2.8397) Prec@1 38.281 (37.885) Prec@5 63.281 (63.816)
Epoch: [21][4470/5005] Time 0.258 (0.224) Data 0.175 (0.077) Loss 2.7486 (2.8398) Prec@1 36.719 (37.883) Prec@5 66.016 (63.815)
Epoch: [21][4480/5005] Time 0.218 (0.224) Data 0.133 (0.077) Loss 2.6135 (2.8399) Prec@1 40.234 (37.881) Prec@5 66.406 (63.813)
Epoch: [21][4490/5005] Time 0.481 (0.224) Data 0.394 (0.077) Loss 2.8936 (2.8400) Prec@1 37.500 (37.882) Prec@5 59.375 (63.809)
Epoch: [21][4500/5005] Time 0.215 (0.224) Data 0.050 (0.078) Loss 2.7729 (2.8399) Prec@1 34.766 (37.880) Prec@5 63.281 (63.809)
Epoch: [21][4510/5005] Time 0.205 (0.224) Data 0.047 (0.078) Loss 2.6573 (2.8399) Prec@1 42.969 (37.878) Prec@5 64.844 (63.808)
Epoch: [21][4520/5005] Time 0.190 (0.224) Data 0.047 (0.078) Loss 2.8878 (2.8398) Prec@1 38.672 (37.878) Prec@5 65.625 (63.810)
Epoch: [21][4530/5005] Time 0.218 (0.224) Data 0.047 (0.078) Loss 2.6152 (2.8398) Prec@1 37.109 (37.879) Prec@5 66.797 (63.809)
Epoch: [21][4540/5005] Time 0.406 (0.224) Data 0.312 (0.078) Loss 2.9700 (2.8401) Prec@1 36.719 (37.877) Prec@5 62.500 (63.803)
Epoch: [21][4550/5005] Time 0.203 (0.224) Data 0.043 (0.078) Loss 2.8770 (2.8401) Prec@1 38.281 (37.875) Prec@5 65.625 (63.802)
Epoch: [21][4560/5005] Time 0.227 (0.224) Data 0.043 (0.078) Loss 2.8887 (2.8402) Prec@1 41.016 (37.874) Prec@5 62.891 (63.802)
Epoch: [21][4570/5005] Time 0.195 (0.224) Data 0.060 (0.078) Loss 2.8060 (2.8401) Prec@1 37.500 (37.876) Prec@5 63.672 (63.802)
Epoch: [21][4580/5005] Time 0.465 (0.224) Data 0.382 (0.078) Loss 3.0661 (2.8401) Prec@1 30.469 (37.877) Prec@5 57.812 (63.802)
Epoch: [21][4590/5005] Time 0.192 (0.224) Data 0.049 (0.078) Loss 2.6580 (2.8401) Prec@1 37.500 (37.877) Prec@5 64.062 (63.802)
Epoch: [21][4600/5005] Time 0.209 (0.224) Data 0.044 (0.078) Loss 2.5536 (2.8401) Prec@1 45.703 (37.877) Prec@5 67.578 (63.801)
Epoch: [21][4610/5005] Time 0.205 (0.224) Data 0.051 (0.078) Loss 2.6617 (2.8402) Prec@1 37.891 (37.879) Prec@5 64.844 (63.799)
Epoch: [21][4620/5005] Time 0.201 (0.224) Data 0.053 (0.078) Loss 2.7001 (2.8400) Prec@1 41.016 (37.880) Prec@5 64.062 (63.801)
Epoch: [21][4630/5005] Time 0.196 (0.224) Data 0.053 (0.078) Loss 2.7017 (2.8399) Prec@1 43.750 (37.885) Prec@5 66.016 (63.804)
Epoch: [21][4640/5005] Time 0.198 (0.224) Data 0.044 (0.078) Loss 2.9036 (2.8398) Prec@1 37.109 (37.883) Prec@5 64.844 (63.806)
Epoch: [21][4650/5005] Time 0.655 (0.224) Data 0.564 (0.078) Loss 2.6851 (2.8398) Prec@1 37.500 (37.881) Prec@5 66.406 (63.804)
Epoch: [21][4660/5005] Time 0.201 (0.224) Data 0.049 (0.078) Loss 3.1511 (2.8399) Prec@1 32.031 (37.882) Prec@5 59.375 (63.804)
Epoch: [21][4670/5005] Time 0.675 (0.224) Data 0.592 (0.078) Loss 2.7586 (2.8398) Prec@1 35.156 (37.884) Prec@5 64.844 (63.805)
Epoch: [21][4680/5005] Time 0.212 (0.224) Data 0.042 (0.078) Loss 2.8393 (2.8399) Prec@1 39.844 (37.884) Prec@5 65.234 (63.803)
Epoch: [21][4690/5005] Time 0.193 (0.224) Data 0.046 (0.078) Loss 2.8862 (2.8400) Prec@1 35.156 (37.880) Prec@5 63.672 (63.802)
Epoch: [21][4700/5005] Time 0.203 (0.224) Data 0.043 (0.078) Loss 2.7687 (2.8400) Prec@1 40.625 (37.880) Prec@5 65.234 (63.804)
Epoch: [21][4710/5005] Time 0.201 (0.224) Data 0.050 (0.078) Loss 2.7832 (2.8398) Prec@1 39.062 (37.884) Prec@5 66.016 (63.807)
Epoch: [21][4720/5005] Time 0.205 (0.224) Data 0.044 (0.078) Loss 2.6436 (2.8398) Prec@1 45.312 (37.885) Prec@5 65.625 (63.807)
Epoch: [21][4730/5005] Time 0.198 (0.224) Data 0.067 (0.078) Loss 2.8977 (2.8400) Prec@1 35.547 (37.881) Prec@5 62.500 (63.804)
Epoch: [21][4740/5005] Time 0.213 (0.224) Data 0.048 (0.078) Loss 2.8594 (2.8399) Prec@1 35.547 (37.881) Prec@5 62.109 (63.805)
Epoch: [21][4750/5005] Time 0.197 (0.224) Data 0.049 (0.078) Loss 2.7673 (2.8400) Prec@1 37.891 (37.879) Prec@5 62.109 (63.803)
Epoch: [21][4760/5005] Time 0.469 (0.224) Data 0.384 (0.078) Loss 3.1907 (2.8399) Prec@1 31.250 (37.880) Prec@5 58.594 (63.806)
Epoch: [21][4770/5005] Time 0.211 (0.224) Data 0.042 (0.078) Loss 2.6741 (2.8399) Prec@1 41.797 (37.882) Prec@5 67.188 (63.809)
Epoch: [21][4780/5005] Time 0.187 (0.224) Data 0.108 (0.078) Loss 2.9153 (2.8400) Prec@1 35.547 (37.881) Prec@5 65.625 (63.807)
Epoch: [21][4790/5005] Time 0.196 (0.224) Data 0.058 (0.078) Loss 3.0635 (2.8400) Prec@1 35.547 (37.881) Prec@5 61.328 (63.808)
Epoch: [21][4800/5005] Time 0.198 (0.224) Data 0.045 (0.078) Loss 2.9210 (2.8399) Prec@1 36.328 (37.882) Prec@5 64.062 (63.809)
Epoch: [21][4810/5005] Time 0.421 (0.224) Data 0.336 (0.078) Loss 3.0598 (2.8399) Prec@1 38.281 (37.883) Prec@5 58.984 (63.808)
Epoch: [21][4820/5005] Time 0.204 (0.224) Data 0.045 (0.078) Loss 3.0603 (2.8399) Prec@1 32.031 (37.883) Prec@5 58.203 (63.809)
Epoch: [21][4830/5005] Time 0.206 (0.224) Data 0.111 (0.078) Loss 2.9136 (2.8398) Prec@1 35.547 (37.886) Prec@5 62.109 (63.811)
Epoch: [21][4840/5005] Time 0.211 (0.224) Data 0.047 (0.078) Loss 2.6067 (2.8399) Prec@1 43.750 (37.885) Prec@5 65.625 (63.807)
Epoch: [21][4850/5005] Time 0.203 (0.224) Data 0.060 (0.078) Loss 2.8867 (2.8401) Prec@1 32.812 (37.880) Prec@5 63.672 (63.804)
Epoch: [21][4860/5005] Time 0.206 (0.224) Data 0.048 (0.078) Loss 2.8425 (2.8401) Prec@1 37.109 (37.878) Prec@5 62.109 (63.802)
Epoch: [21][4870/5005] Time 0.200 (0.224) Data 0.064 (0.078) Loss 2.7107 (2.8402) Prec@1 38.281 (37.877) Prec@5 65.234 (63.801)
Epoch: [21][4880/5005] Time 0.200 (0.224) Data 0.047 (0.078) Loss 2.7885 (2.8401) Prec@1 37.891 (37.878) Prec@5 65.625 (63.802)
Epoch: [21][4890/5005] Time 0.202 (0.224) Data 0.047 (0.078) Loss 2.8808 (2.8401) Prec@1 39.062 (37.877) Prec@5 61.328 (63.801)
Epoch: [21][4900/5005] Time 0.200 (0.224) Data 0.053 (0.078) Loss 2.8022 (2.8400) Prec@1 39.062 (37.879) Prec@5 64.844 (63.802)
Epoch: [21][4910/5005] Time 0.208 (0.224) Data 0.042 (0.078) Loss 2.8904 (2.8399) Prec@1 36.328 (37.879) Prec@5 63.672 (63.805)
Epoch: [21][4920/5005] Time 0.207 (0.224) Data 0.042 (0.078) Loss 2.7707 (2.8399) Prec@1 36.328 (37.878) Prec@5 64.453 (63.803)
Epoch: [21][4930/5005] Time 0.485 (0.224) Data 0.407 (0.078) Loss 2.9277 (2.8398) Prec@1 34.766 (37.879) Prec@5 62.109 (63.804)
Epoch: [21][4940/5005] Time 0.201 (0.224) Data 0.043 (0.078) Loss 2.8003 (2.8399) Prec@1 41.016 (37.879) Prec@5 65.234 (63.802)
Epoch: [21][4950/5005] Time 0.201 (0.224) Data 0.040 (0.078) Loss 2.6016 (2.8400) Prec@1 42.188 (37.877) Prec@5 69.141 (63.802)
Epoch: [21][4960/5005] Time 0.217 (0.224) Data 0.042 (0.078) Loss 2.9583 (2.8400) Prec@1 34.375 (37.876) Prec@5 65.234 (63.803)
Epoch: [21][4970/5005] Time 0.209 (0.224) Data 0.045 (0.078) Loss 3.0171 (2.8399) Prec@1 36.328 (37.876) Prec@5 60.938 (63.804)
Epoch: [21][4980/5005] Time 0.201 (0.225) Data 0.046 (0.079) Loss 3.0187 (2.8399) Prec@1 35.938 (37.876) Prec@5 58.594 (63.805)
Epoch: [21][4990/5005] Time 0.211 (0.225) Data 0.032 (0.078) Loss 2.8103 (2.8398) Prec@1 35.938 (37.878) Prec@5 60.938 (63.805)
Epoch: [21][5000/5005] Time 0.203 (0.224) Data 0.031 (0.078) Loss 2.8086 (2.8398) Prec@1 34.766 (37.877) Prec@5 65.625 (63.804)
Test: [0/196] Time 2.391 (2.391) Loss 2.6879 (2.6879) Prec@1 43.359 (43.359) Prec@5 64.844 (64.844)
Test: [10/196] Time 0.050 (0.383) Loss 2.7910 (2.8559) Prec@1 41.016 (37.997) Prec@5 63.281 (63.352)
Test: [20/196] Time 0.046 (0.299) Loss 2.7303 (2.8620) Prec@1 41.797 (37.649) Prec@5 66.406 (63.690)
Test: [30/196] Time 0.045 (0.269) Loss 2.6881 (2.8623) Prec@1 41.016 (37.437) Prec@5 64.844 (63.773)
Test: [40/196] Time 1.332 (0.279) Loss 2.6183 (2.8646) Prec@1 41.016 (37.586) Prec@5 66.797 (63.615)
Test: [50/196] Time 0.042 (0.261) Loss 3.0792 (2.8723) Prec@1 33.984 (37.508) Prec@5 65.625 (63.588)
Test: [60/196] Time 0.043 (0.252) Loss 2.7082 (2.8571) Prec@1 41.016 (37.731) Prec@5 63.672 (63.870)
Test: [70/196] Time 0.142 (0.248) Loss 2.8079 (2.8485) Prec@1 36.328 (37.819) Prec@5 64.062 (64.068)
Test: [80/196] Time 0.521 (0.245) Loss 2.6839 (2.8548) Prec@1 41.797 (37.756) Prec@5 66.016 (64.000)
Test: [90/196] Time 0.042 (0.243) Loss 2.9449 (2.8566) Prec@1 39.453 (37.796) Prec@5 66.016 (63.985)
Test: [100/196] Time 0.122 (0.239) Loss 2.9724 (2.8559) Prec@1 36.719 (37.902) Prec@5 62.109 (64.016)
Test: [110/196] Time 0.044 (0.235) Loss 3.0972 (2.8600) Prec@1 34.375 (37.852) Prec@5 59.766 (63.908)
Test: [120/196] Time 0.731 (0.238) Loss 2.7351 (2.8584) Prec@1 37.891 (37.849) Prec@5 67.969 (63.920)
Test: [130/196] Time 0.044 (0.237) Loss 2.4322 (2.8546) Prec@1 44.531 (37.947) Prec@5 70.312 (63.946)
Test: [140/196] Time 0.128 (0.235) Loss 2.5746 (2.8545) Prec@1 45.312 (37.974) Prec@5 68.359 (63.918)
Test: [150/196] Time 0.042 (0.235) Loss 2.6175 (2.8518) Prec@1 41.016 (38.004) Prec@5 70.703 (64.013)
Test: [160/196] Time 0.043 (0.233) Loss 2.7364 (2.8494) Prec@1 44.531 (37.995) Prec@5 65.234 (64.024)
Test: [170/196] Time 0.347 (0.233) Loss 2.7303 (2.8507) Prec@1 40.234 (37.982) Prec@5 67.969 (63.987)
Test: [180/196] Time 0.111 (0.233) Loss 3.0492 (2.8560) Prec@1 38.672 (37.973) Prec@5 60.938 (63.829)
Test: [190/196] Time 0.358 (0.234) Loss 3.0751 (2.8581) Prec@1 35.938 (37.972) Prec@5 60.547 (63.739)
* Prec@1 37.964 Prec@5 63.780
Learning rate: 0.001
Epoch: [22][0/5005] Time 2.289 (2.289) Data 2.182 (2.182) Loss 2.7326 (2.7326) Prec@1 39.453 (39.453) Prec@5 66.406 (66.406)
Epoch: [22][10/5005] Time 0.195 (0.390) Data 0.046 (0.243) Loss 2.7809 (2.8361) Prec@1 38.672 (36.364) Prec@5 65.625 (64.453)
Epoch: [22][20/5005] Time 0.207 (0.300) Data 0.048 (0.148) Loss 2.8959 (2.8482) Prec@1 39.062 (36.589) Prec@5 68.359 (64.397)
Epoch: [22][30/5005] Time 0.197 (0.268) Data 0.043 (0.115) Loss 2.8318 (2.8197) Prec@1 37.500 (37.223) Prec@5 64.062 (64.730)
Epoch: [22][40/5005] Time 0.205 (0.251) Data 0.040 (0.097) Loss 2.7825 (2.8188) Prec@1 39.062 (37.300) Prec@5 66.016 (64.739)
Epoch: [22][50/5005] Time 0.201 (0.241) Data 0.038 (0.086) Loss 2.6917 (2.8164) Prec@1 39.062 (37.485) Prec@5 65.234 (64.530)
Epoch: [22][60/5005] Time 0.200 (0.234) Data 0.045 (0.079) Loss 2.7409 (2.8132) Prec@1 36.719 (37.487) Prec@5 63.672 (64.415)
Epoch: [22][70/5005] Time 0.196 (0.230) Data 0.043 (0.074) Loss 2.7874 (2.8280) Prec@1 40.625 (37.417) Prec@5 64.062 (64.112)
Epoch: [22][80/5005] Time 0.209 (0.226) Data 0.046 (0.071) Loss 2.7924 (2.8210) Prec@1 37.500 (37.529) Prec@5 65.625 (64.198)
Epoch: [22][90/5005] Time 0.203 (0.223) Data 0.046 (0.069) Loss 2.8753 (2.8208) Prec@1 41.016 (37.697) Prec@5 65.625 (64.174)
Epoch: [22][100/5005] Time 0.198 (0.221) Data 0.054 (0.067) Loss 2.6540 (2.8218) Prec@1 39.062 (37.655) Prec@5 69.922 (64.109)
Epoch: [22][110/5005] Time 0.212 (0.219) Data 0.043 (0.065) Loss 2.8505 (2.8252) Prec@1 40.625 (37.796) Prec@5 62.109 (63.967)
Epoch: [22][120/5005] Time 0.201 (0.217) Data 0.043 (0.063) Loss 2.8098 (2.8305) Prec@1 37.109 (37.732) Prec@5 63.672 (63.837)
Epoch: [22][130/5005] Time 0.203 (0.217) Data 0.044 (0.063) Loss 2.7895 (2.8312) Prec@1 42.969 (37.724) Prec@5 61.328 (63.794)
Epoch: [22][140/5005] Time 0.202 (0.219) Data 0.057 (0.067) Loss 2.8910 (2.8309) Prec@1 32.031 (37.688) Prec@5 63.281 (63.761)
Epoch: [22][150/5005] Time 0.424 (0.221) Data 0.337 (0.070) Loss 2.9285 (2.8322) Prec@1 38.672 (37.715) Prec@5 64.062 (63.788)
Epoch: [22][160/5005] Time 0.195 (0.220) Data 0.051 (0.071) Loss 2.7868 (2.8351) Prec@1 37.500 (37.728) Prec@5 62.500 (63.757)
Epoch: [22][170/5005] Time 0.203 (0.223) Data 0.041 (0.074) Loss 3.1103 (2.8373) Prec@1 36.719 (37.694) Prec@5 61.328 (63.708)
Epoch: [22][180/5005] Time 0.212 (0.222) Data 0.043 (0.072) Loss 2.9856 (2.8369) Prec@1 36.719 (37.670) Prec@5 57.812 (63.722)
Epoch: [22][190/5005] Time 0.210 (0.224) Data 0.059 (0.074) Loss 2.9117 (2.8421) Prec@1 35.156 (37.602) Prec@5 62.891 (63.606)
Epoch: [22][200/5005] Time 0.222 (0.226) Data 0.045 (0.077) Loss 2.9709 (2.8424) Prec@1 33.594 (37.595) Prec@5 64.453 (63.612)
Epoch: [22][210/5005] Time 0.209 (0.227) Data 0.047 (0.077) Loss 2.6769 (2.8417) Prec@1 41.797 (37.622) Prec@5 64.453 (63.650)
Epoch: [22][220/5005] Time 0.215 (0.226) Data 0.044 (0.076) Loss 2.8677 (2.8428) Prec@1 37.500 (37.610) Prec@5 62.109 (63.654)
Epoch: [22][230/5005] Time 0.212 (0.227) Data 0.050 (0.077) Loss 2.8357 (2.8410) Prec@1 38.281 (37.674) Prec@5 62.500 (63.675)
Epoch: [22][240/5005] Time 0.219 (0.227) Data 0.063 (0.077) Loss 2.7278 (2.8396) Prec@1 43.359 (37.646) Prec@5 63.672 (63.716)
Epoch: [22][250/5005] Time 0.220 (0.227) Data 0.048 (0.076) Loss 2.9403 (2.8388) Prec@1 33.984 (37.639) Prec@5 63.281 (63.731)
Epoch: [22][260/5005] Time 0.211 (0.228) Data 0.046 (0.078) Loss 2.6684 (2.8375) Prec@1 40.234 (37.684) Prec@5 67.188 (63.777)
Epoch: [22][270/5005] Time 0.399 (0.229) Data 0.314 (0.079) Loss 2.8556 (2.8372) Prec@1 36.719 (37.674) Prec@5 64.453 (63.812)
Epoch: [22][280/5005] Time 0.219 (0.228) Data 0.085 (0.078) Loss 3.1052 (2.8391) Prec@1 32.031 (37.652) Prec@5 55.469 (63.737)
Epoch: [22][290/5005] Time 0.208 (0.229) Data 0.053 (0.080) Loss 2.7550 (2.8412) Prec@1 38.281 (37.603) Prec@5 65.625 (63.700)
Epoch: [22][300/5005] Time 0.210 (0.229) Data 0.046 (0.080) Loss 2.7060 (2.8408) Prec@1 41.016 (37.590) Prec@5 69.922 (63.725)
Epoch: [22][310/5005] Time 0.478 (0.230) Data 0.387 (0.082) Loss 2.5787 (2.8369) Prec@1 40.625 (37.673) Prec@5 70.312 (63.796)
Epoch: [22][320/5005] Time 0.196 (0.230) Data 0.067 (0.083) Loss 3.0324 (2.8386) Prec@1 35.156 (37.690) Prec@5 60.938 (63.764)
Epoch: [22][330/5005] Time 0.209 (0.231) Data 0.044 (0.083) Loss 2.5069 (2.8364) Prec@1 42.969 (37.736) Prec@5 68.359 (63.777)
Epoch: [22][340/5005] Time 0.197 (0.231) Data 0.093 (0.084) Loss 2.9874 (2.8396) Prec@1 33.594 (37.713) Prec@5 65.234 (63.729)
Epoch: [22][350/5005] Time 0.247 (0.231) Data 0.160 (0.084) Loss 3.0906 (2.8411) Prec@1 35.156 (37.651) Prec@5 59.375 (63.682)
Epoch: [22][360/5005] Time 0.210 (0.231) Data 0.042 (0.084) Loss 2.8773 (2.8404) Prec@1 36.719 (37.679) Prec@5 62.500 (63.692)
Epoch: [22][370/5005] Time 0.214 (0.230) Data 0.045 (0.083) Loss 2.9454 (2.8391) Prec@1 32.422 (37.665) Prec@5 60.156 (63.706)
Epoch: [22][380/5005] Time 0.213 (0.230) Data 0.041 (0.082) Loss 2.9331 (2.8398) Prec@1 37.500 (37.687) Prec@5 61.719 (63.698)
Epoch: [22][390/5005] Time 0.220 (0.229) Data 0.044 (0.081) Loss 2.7766 (2.8399) Prec@1 40.625 (37.705) Prec@5 65.625 (63.682)
Epoch: [22][400/5005] Time 0.205 (0.229) Data 0.047 (0.080) Loss 2.6294 (2.8381) Prec@1 40.234 (37.721) Prec@5 65.234 (63.724)
Epoch: [22][410/5005] Time 0.211 (0.229) Data 0.055 (0.079) Loss 2.5810 (2.8378) Prec@1 39.844 (37.724) Prec@5 69.922 (63.735)
Epoch: [22][420/5005] Time 0.211 (0.228) Data 0.043 (0.078) Loss 2.7811 (2.8368) Prec@1 38.281 (37.759) Prec@5 63.281 (63.748)
Epoch: [22][430/5005] Time 0.215 (0.228) Data 0.047 (0.078) Loss 2.7905 (2.8374) Prec@1 39.844 (37.739) Prec@5 66.797 (63.756)
Epoch: [22][440/5005] Time 0.213 (0.227) Data 0.044 (0.077) Loss 2.6240 (2.8364) Prec@1 45.312 (37.751) Prec@5 65.625 (63.763)
Epoch: [22][450/5005] Time 0.226 (0.227) Data 0.048 (0.077) Loss 2.5227 (2.8360) Prec@1 38.672 (37.751) Prec@5 66.016 (63.758)
Epoch: [22][460/5005] Time 0.220 (0.227) Data 0.047 (0.076) Loss 2.8963 (2.8363) Prec@1 36.719 (37.758) Prec@5 61.328 (63.752)
Epoch: [22][470/5005] Time 0.214 (0.227) Data 0.049 (0.075) Loss 2.8861 (2.8378) Prec@1 35.938 (37.740) Prec@5 59.766 (63.697)
Epoch: [22][480/5005] Time 0.218 (0.226) Data 0.042 (0.075) Loss 2.7499 (2.8371) Prec@1 39.062 (37.743) Prec@5 66.797 (63.712)
Epoch: [22][490/5005] Time 0.209 (0.226) Data 0.043 (0.074) Loss 2.8972 (2.8373) Prec@1 41.406 (37.747) Prec@5 62.500 (63.704)
Epoch: [22][500/5005] Time 0.208 (0.226) Data 0.044 (0.074) Loss 2.9913 (2.8385) Prec@1 36.719 (37.729) Prec@5 58.203 (63.686)
Epoch: [22][510/5005] Time 0.212 (0.226) Data 0.041 (0.073) Loss 2.9488 (2.8382) Prec@1 36.328 (37.743) Prec@5 63.672 (63.704)
Epoch: [22][520/5005] Time 0.214 (0.225) Data 0.043 (0.073) Loss 2.8069 (2.8379) Prec@1 35.938 (37.729) Prec@5 64.453 (63.703)
Epoch: [22][530/5005] Time 0.202 (0.226) Data 0.042 (0.072) Loss 2.7236 (2.8376) Prec@1 40.234 (37.729) Prec@5 65.625 (63.698)
Epoch: [22][540/5005] Time 0.212 (0.226) Data 0.043 (0.071) Loss 2.9927 (2.8376) Prec@1 36.328 (37.743) Prec@5 59.375 (63.688)
Epoch: [22][550/5005] Time 0.212 (0.226) Data 0.042 (0.071) Loss 2.8462 (2.8372) Prec@1 38.281 (37.764) Prec@5 64.062 (63.701)
Epoch: [22][560/5005] Time 0.221 (0.225) Data 0.048 (0.071) Loss 2.9216 (2.8375) Prec@1 37.891 (37.763) Prec@5 65.234 (63.712)
Epoch: [22][570/5005] Time 0.220 (0.225) Data 0.043 (0.070) Loss 2.9449 (2.8385) Prec@1 39.062 (37.751) Prec@5 60.156 (63.692)
Epoch: [22][580/5005] Time 0.207 (0.225) Data 0.056 (0.070) Loss 2.9122 (2.8383) Prec@1 36.719 (37.740) Prec@5 62.109 (63.699)
Epoch: [22][590/5005] Time 0.203 (0.225) Data 0.063 (0.070) Loss 3.1101 (2.8385) Prec@1 35.547 (37.736) Prec@5 57.422 (63.681)
Epoch: [22][600/5005] Time 0.219 (0.224) Data 0.046 (0.069) Loss 2.7132 (2.8394) Prec@1 38.672 (37.714) Prec@5 67.188 (63.680)
Epoch: [22][610/5005] Time 0.219 (0.224) Data 0.058 (0.069) Loss 2.7068 (2.8398) Prec@1 36.719 (37.719) Prec@5 67.578 (63.676)
Epoch: [22][620/5005] Time 0.205 (0.224) Data 0.059 (0.069) Loss 2.7796 (2.8387) Prec@1 39.453 (37.746) Prec@5 65.234 (63.703)
Epoch: [22][630/5005] Time 0.222 (0.224) Data 0.042 (0.068) Loss 3.0366 (2.8397) Prec@1 33.594 (37.731) Prec@5 62.500 (63.674)
Epoch: [22][640/5005] Time 0.214 (0.224) Data 0.060 (0.068) Loss 2.7577 (2.8391) Prec@1 40.234 (37.735) Prec@5 65.234 (63.680)
Epoch: [22][650/5005] Time 0.208 (0.224) Data 0.053 (0.068) Loss 3.0448 (2.8399) Prec@1 35.156 (37.714) Prec@5 60.938 (63.681)
Epoch: [22][660/5005] Time 0.210 (0.223) Data 0.045 (0.067) Loss 2.9751 (2.8393) Prec@1 36.719 (37.738) Prec@5 61.719 (63.699)
Epoch: [22][670/5005] Time 0.220 (0.223) Data 0.044 (0.067) Loss 3.0782 (2.8392) Prec@1 36.719 (37.738) Prec@5 59.375 (63.707)
Epoch: [22][680/5005] Time 0.216 (0.223) Data 0.044 (0.067) Loss 2.6878 (2.8392) Prec@1 41.406 (37.729) Prec@5 66.797 (63.706)
Epoch: [22][690/5005] Time 0.214 (0.223) Data 0.044 (0.067) Loss 2.8292 (2.8391) Prec@1 41.016 (37.727) Prec@5 66.797 (63.707)
Epoch: [22][700/5005] Time 0.215 (0.223) Data 0.041 (0.066) Loss 2.7957 (2.8388) Prec@1 39.844 (37.734) Prec@5 65.625 (63.704)
Epoch: [22][710/5005] Time 0.210 (0.223) Data 0.040 (0.066) Loss 2.7664 (2.8386) Prec@1 40.234 (37.753) Prec@5 64.844 (63.698)
Epoch: [22][720/5005] Time 0.209 (0.223) Data 0.043 (0.066) Loss 2.7802 (2.8376) Prec@1 37.500 (37.773) Prec@5 66.016 (63.717)
Epoch: [22][730/5005] Time 0.211 (0.223) Data 0.044 (0.065) Loss 2.9155 (2.8376) Prec@1 41.016 (37.777) Prec@5 64.453 (63.737)
Epoch: [22][740/5005] Time 0.206 (0.222) Data 0.045 (0.065) Loss 2.7950 (2.8372) Prec@1 39.844 (37.786) Prec@5 62.109 (63.727)
Epoch: [22][750/5005] Time 0.214 (0.222) Data 0.042 (0.065) Loss 2.7265 (2.8368) Prec@1 39.844 (37.798) Prec@5 64.844 (63.744)
Epoch: [22][760/5005] Time 0.211 (0.222) Data 0.041 (0.065) Loss 2.7477 (2.8371) Prec@1 39.844 (37.791) Prec@5 66.797 (63.744)
Epoch: [22][770/5005] Time 0.214 (0.222) Data 0.043 (0.064) Loss 2.8468 (2.8362) Prec@1 37.500 (37.814) Prec@5 64.453 (63.757)
Epoch: [22][780/5005] Time 0.206 (0.222) Data 0.047 (0.064) Loss 2.9222 (2.8360) Prec@1 35.938 (37.821) Prec@5 61.719 (63.754)
Epoch: [22][790/5005] Time 0.209 (0.222) Data 0.040 (0.064) Loss 2.7625 (2.8355) Prec@1 37.500 (37.821) Prec@5 64.844 (63.769)
Epoch: [22][800/5005] Time 0.208 (0.223) Data 0.042 (0.064) Loss 2.6304 (2.8347) Prec@1 40.625 (37.838) Prec@5 67.578 (63.789)
Epoch: [22][810/5005] Time 0.198 (0.222) Data 0.042 (0.063) Loss 2.9453 (2.8351) Prec@1 37.500 (37.844) Prec@5 61.328 (63.791)
Epoch: [22][820/5005] Time 0.210 (0.222) Data 0.041 (0.063) Loss 3.0194 (2.8354) Prec@1 35.938 (37.850) Prec@5 61.328 (63.791)
Epoch: [22][830/5005] Time 0.265 (0.222) Data 0.179 (0.063) Loss 2.7171 (2.8356) Prec@1 39.453 (37.850) Prec@5 66.016 (63.791)
Epoch: [22][840/5005] Time 0.200 (0.222) Data 0.047 (0.063) Loss 2.6776 (2.8354) Prec@1 41.016 (37.853) Prec@5 62.500 (63.801)
Epoch: [22][850/5005] Time 0.206 (0.222) Data 0.057 (0.063) Loss 3.2023 (2.8350) Prec@1 32.812 (37.859) Prec@5 61.719 (63.810)
Epoch: [22][860/5005] Time 0.307 (0.222) Data 0.217 (0.064) Loss 2.8298 (2.8352) Prec@1 39.844 (37.881) Prec@5 64.844 (63.820)
Epoch: [22][870/5005] Time 0.226 (0.222) Data 0.133 (0.064) Loss 2.9017 (2.8344) Prec@1 32.812 (37.896) Prec@5 62.109 (63.831)
Epoch: [22][880/5005] Time 0.209 (0.222) Data 0.044 (0.064) Loss 2.8012 (2.8349) Prec@1 36.328 (37.883) Prec@5 62.891 (63.824)
Epoch: [22][890/5005] Time 0.198 (0.222) Data 0.094 (0.065) Loss 3.0464 (2.8346) Prec@1 34.375 (37.888) Prec@5 59.375 (63.824)
Epoch: [22][900/5005] Time 0.367 (0.222) Data 0.278 (0.065) Loss 2.7741 (2.8341) Prec@1 36.328 (37.882) Prec@5 62.109 (63.834)
Epoch: [22][910/5005] Time 0.203 (0.223) Data 0.047 (0.065) Loss 2.8703 (2.8342) Prec@1 36.328 (37.867) Prec@5 64.844 (63.832)
Epoch: [22][920/5005] Time 0.197 (0.223) Data 0.048 (0.065) Loss 2.8494 (2.8334) Prec@1 35.938 (37.881) Prec@5 66.016 (63.850)
Epoch: [22][930/5005] Time 0.211 (0.223) Data 0.044 (0.065) Loss 2.7156 (2.8328) Prec@1 40.234 (37.896) Prec@5 64.844 (63.869)
Epoch: [22][940/5005] Time 0.761 (0.224) Data 0.676 (0.067) Loss 2.5737 (2.8328) Prec@1 39.062 (37.888) Prec@5 71.484 (63.878)
Epoch: [22][950/5005] Time 0.199 (0.224) Data 0.044 (0.067) Loss 2.9767 (2.8335) Prec@1 37.500 (37.882) Prec@5 64.453 (63.874)
Epoch: [22][960/5005] Time 0.290 (0.224) Data 0.205 (0.067) Loss 3.0976 (2.8338) Prec@1 36.719 (37.885) Prec@5 60.156 (63.878)
Epoch: [22][970/5005] Time 0.194 (0.224) Data 0.091 (0.068) Loss 2.6003 (2.8337) Prec@1 42.969 (37.877) Prec@5 69.141 (63.867)
Epoch: [22][980/5005] Time 0.334 (0.225) Data 0.251 (0.069) Loss 2.6526 (2.8333) Prec@1 38.672 (37.885) Prec@5 65.625 (63.879)
Epoch: [22][990/5005] Time 0.213 (0.225) Data 0.042 (0.069) Loss 2.8973 (2.8339) Prec@1 35.156 (37.870) Prec@5 60.547 (63.864)
Epoch: [22][1000/5005] Time 0.209 (0.225) Data 0.048 (0.068) Loss 2.7340 (2.8332) Prec@1 37.109 (37.886) Prec@5 68.750 (63.880)
Epoch: [22][1010/5005] Time 0.219 (0.224) Data 0.045 (0.068) Loss 2.8779 (2.8329) Prec@1 37.891 (37.884) Prec@5 61.328 (63.881)
Epoch: [22][1020/5005] Time 0.215 (0.224) Data 0.046 (0.068) Loss 2.6597 (2.8332) Prec@1 41.016 (37.889) Prec@5 66.016 (63.870)
Epoch: [22][1030/5005] Time 0.211 (0.224) Data 0.048 (0.068) Loss 2.8193 (2.8327) Prec@1 36.328 (37.903) Prec@5 60.938 (63.873)
Epoch: [22][1040/5005] Time 0.212 (0.224) Data 0.041 (0.067) Loss 2.9533 (2.8332) Prec@1 37.891 (37.900) Prec@5 60.547 (63.858)
Epoch: [22][1050/5005] Time 0.205 (0.224) Data 0.043 (0.067) Loss 2.8546 (2.8340) Prec@1 38.281 (37.885) Prec@5 64.062 (63.848)
Epoch: [22][1060/5005] Time 0.208 (0.224) Data 0.047 (0.067) Loss 2.9588 (2.8344) Prec@1 39.844 (37.879) Prec@5 62.500 (63.845)
Epoch: [22][1070/5005] Time 0.216 (0.224) Data 0.040 (0.067) Loss 2.8212 (2.8343) Prec@1 36.719 (37.873) Prec@5 64.453 (63.845)
Epoch: [22][1080/5005] Time 0.208 (0.223) Data 0.046 (0.067) Loss 2.9520 (2.8347) Prec@1 35.547 (37.868) Prec@5 60.547 (63.833)
Epoch: [22][1090/5005] Time 0.215 (0.223) Data 0.045 (0.066) Loss 2.6708 (2.8344) Prec@1 43.359 (37.882) Prec@5 65.625 (63.843)
Epoch: [22][1100/5005] Time 0.207 (0.223) Data 0.056 (0.066) Loss 2.7183 (2.8340) Prec@1 40.625 (37.888) Prec@5 67.188 (63.846)
Epoch: [22][1110/5005] Time 0.222 (0.223) Data 0.044 (0.066) Loss 2.9119 (2.8337) Prec@1 32.031 (37.892) Prec@5 60.156 (63.852)
Epoch: [22][1120/5005] Time 0.217 (0.223) Data 0.043 (0.066) Loss 2.8020 (2.8328) Prec@1 39.062 (37.908) Prec@5 63.281 (63.861)
Epoch: [22][1130/5005] Time 0.209 (0.223) Data 0.052 (0.066) Loss 2.8000 (2.8329) Prec@1 42.578 (37.919) Prec@5 64.062 (63.855)
Epoch: [22][1140/5005] Time 0.203 (0.223) Data 0.049 (0.066) Loss 2.8719 (2.8324) Prec@1 35.938 (37.929) Prec@5 62.109 (63.854)
Epoch: [22][1150/5005] Time 0.207 (0.223) Data 0.046 (0.065) Loss 2.7478 (2.8318) Prec@1 35.938 (37.927) Prec@5 64.453 (63.868)
Epoch: [22][1160/5005] Time 0.208 (0.223) Data 0.041 (0.065) Loss 2.9185 (2.8320) Prec@1 37.891 (37.928) Prec@5 62.500 (63.863)
Epoch: [22][1170/5005] Time 0.212 (0.222) Data 0.051 (0.065) Loss 2.7761 (2.8320) Prec@1 37.500 (37.932) Prec@5 63.281 (63.853)
Epoch: [22][1180/5005] Time 0.216 (0.222) Data 0.048 (0.065) Loss 2.8552 (2.8322) Prec@1 37.109 (37.927) Prec@5 64.062 (63.848)
Epoch: [22][1190/5005] Time 0.212 (0.222) Data 0.048 (0.065) Loss 2.5932 (2.8319) Prec@1 39.844 (37.933) Prec@5 66.797 (63.851)
Epoch: [22][1200/5005] Time 0.212 (0.222) Data 0.044 (0.065) Loss 2.9983 (2.8318) Prec@1 35.156 (37.929) Prec@5 63.672 (63.851)
Epoch: [22][1210/5005] Time 0.211 (0.222) Data 0.048 (0.065) Loss 2.8494 (2.8322) Prec@1 39.844 (37.932) Prec@5 63.672 (63.848)
Epoch: [22][1220/5005] Time 0.263 (0.222) Data 0.179 (0.065) Loss 2.8829 (2.8326) Prec@1 34.766 (37.918) Prec@5 62.891 (63.843)
Epoch: [22][1230/5005] Time 0.210 (0.222) Data 0.044 (0.065) Loss 2.9786 (2.8325) Prec@1 35.547 (37.907) Prec@5 62.891 (63.848)
Epoch: [22][1240/5005] Time 0.417 (0.222) Data 0.338 (0.065) Loss 2.7713 (2.8329) Prec@1 40.234 (37.907) Prec@5 63.281 (63.841)
Epoch: [22][1250/5005] Time 0.207 (0.222) Data 0.040 (0.065) Loss 3.0820 (2.8333) Prec@1 37.109 (37.898) Prec@5 58.203 (63.826)
Epoch: [22][1260/5005] Time 0.214 (0.222) Data 0.046 (0.065) Loss 2.5318 (2.8330) Prec@1 42.969 (37.906) Prec@5 69.141 (63.834)
Epoch: [22][1270/5005] Time 0.289 (0.222) Data 0.205 (0.066) Loss 2.8141 (2.8334) Prec@1 36.719 (37.893) Prec@5 63.281 (63.828)
Epoch: [22][1280/5005] Time 0.259 (0.222) Data 0.174 (0.066) Loss 2.8389 (2.8339) Prec@1 41.797 (37.893) Prec@5 63.672 (63.817)
Epoch: [22][1290/5005] Time 0.212 (0.222) Data 0.048 (0.066) Loss 2.6399 (2.8336) Prec@1 41.406 (37.903) Prec@5 68.750 (63.823)
Epoch: [22][1300/5005] Time 0.190 (0.222) Data 0.059 (0.066) Loss 2.7168 (2.8335) Prec@1 39.062 (37.904) Prec@5 65.625 (63.823)
Epoch: [22][1310/5005] Time 0.210 (0.222) Data 0.043 (0.066) Loss 2.9205 (2.8335) Prec@1 35.547 (37.902) Prec@5 62.891 (63.824)
Epoch: [22][1320/5005] Time 0.217 (0.222) Data 0.127 (0.066) Loss 2.9025 (2.8336) Prec@1 39.062 (37.911) Prec@5 63.672 (63.826)
Epoch: [22][1330/5005] Time 0.207 (0.222) Data 0.057 (0.067) Loss 2.8900 (2.8341) Prec@1 35.938 (37.900) Prec@5 62.500 (63.816)
Epoch: [22][1340/5005] Time 0.208 (0.222) Data 0.042 (0.067) Loss 2.7792 (2.8340) Prec@1 36.719 (37.909) Prec@5 64.844 (63.823)
Epoch: [22][1350/5005] Time 0.209 (0.222) Data 0.049 (0.067) Loss 3.1057 (2.8342) Prec@1 33.203 (37.902) Prec@5 61.328 (63.818)
Epoch: [22][1360/5005] Time 0.416 (0.222) Data 0.335 (0.067) Loss 2.5609 (2.8340) Prec@1 42.969 (37.915) Prec@5 67.188 (63.819)
Epoch: [22][1370/5005] Time 0.199 (0.222) Data 0.052 (0.067) Loss 2.9276 (2.8338) Prec@1 37.891 (37.920) Prec@5 62.500 (63.819)
Epoch: [22][1380/5005] Time 0.211 (0.222) Data 0.042 (0.067) Loss 2.8390 (2.8336) Prec@1 38.281 (37.927) Prec@5 62.500 (63.825)
Epoch: [22][1390/5005] Time 0.203 (0.222) Data 0.040 (0.067) Loss 2.7262 (2.8338) Prec@1 41.406 (37.932) Prec@5 65.234 (63.822)
Epoch: [22][1400/5005] Time 0.213 (0.223) Data 0.046 (0.067) Loss 2.7395 (2.8331) Prec@1 37.891 (37.939) Prec@5 63.672 (63.831)
Epoch: [22][1410/5005] Time 0.202 (0.223) Data 0.046 (0.067) Loss 2.7074 (2.8326) Prec@1 40.234 (37.950) Prec@5 66.016 (63.834)
Epoch: [22][1420/5005] Time 0.205 (0.223) Data 0.037 (0.068) Loss 3.0323 (2.8325) Prec@1 32.422 (37.961) Prec@5 63.281 (63.840)
Epoch: [22][1430/5005] Time 0.212 (0.223) Data 0.048 (0.068) Loss 2.5314 (2.8320) Prec@1 44.531 (37.968) Prec@5 71.094 (63.849)
Epoch: [22][1440/5005] Time 0.213 (0.223) Data 0.048 (0.068) Loss 2.6033 (2.8317) Prec@1 40.234 (37.965) Prec@5 71.484 (63.855)
Epoch: [22][1450/5005] Time 0.213 (0.223) Data 0.042 (0.068) Loss 2.7936 (2.8315) Prec@1 41.016 (37.966) Prec@5 63.672 (63.858)
Epoch: [22][1460/5005] Time 0.221 (0.223) Data 0.044 (0.068) Loss 3.0133 (2.8315) Prec@1 33.203 (37.962) Prec@5 58.594 (63.852)
Epoch: [22][1470/5005] Time 0.212 (0.223) Data 0.044 (0.068) Loss 2.9072 (2.8318) Prec@1 37.109 (37.964) Prec@5 66.016 (63.852)
Epoch: [22][1480/5005] Time 0.363 (0.223) Data 0.285 (0.068) Loss 2.5778 (2.8319) Prec@1 40.234 (37.958) Prec@5 71.094 (63.853)
Epoch: [22][1490/5005] Time 0.204 (0.223) Data 0.098 (0.068) Loss 3.0532 (2.8318) Prec@1 37.500 (37.962) Prec@5 62.891 (63.857)
Epoch: [22][1500/5005] Time 0.212 (0.223) Data 0.060 (0.068) Loss 2.8544 (2.8315) Prec@1 38.672 (37.965) Prec@5 64.062 (63.862)
Epoch: [22][1510/5005] Time 0.208 (0.223) Data 0.041 (0.068) Loss 2.6110 (2.8312) Prec@1 43.359 (37.972) Prec@5 67.969 (63.868)
Epoch: [22][1520/5005] Time 0.382 (0.223) Data 0.296 (0.068) Loss 2.8739 (2.8310) Prec@1 39.844 (37.968) Prec@5 61.328 (63.868)
Epoch: [22][1530/5005] Time 0.196 (0.223) Data 0.055 (0.068) Loss 3.0451 (2.8309) Prec@1 35.156 (37.975) Prec@5 62.109 (63.874)
Epoch: [22][1540/5005] Time 0.196 (0.223) Data 0.048 (0.068) Loss 2.8420 (2.8311) Prec@1 39.453 (37.980) Prec@5 64.062 (63.871)
Epoch: [22][1550/5005] Time 0.195 (0.223) Data 0.049 (0.068) Loss 2.7086 (2.8307) Prec@1 38.672 (37.984) Prec@5 67.188 (63.879)
Epoch: [22][1560/5005] Time 0.261 (0.223) Data 0.173 (0.068) Loss 2.8494 (2.8309) Prec@1 37.500 (37.990) Prec@5 61.719 (63.875)
Epoch: [22][1570/5005] Time 0.210 (0.223) Data 0.046 (0.068) Loss 2.5818 (2.8306) Prec@1 41.797 (37.999) Prec@5 68.750 (63.874)
Epoch: [22][1580/5005] Time 0.202 (0.223) Data 0.047 (0.068) Loss 2.6798 (2.8309) Prec@1 41.406 (37.989) Prec@5 68.359 (63.868)
Epoch: [22][1590/5005] Time 0.193 (0.223) Data 0.060 (0.069) Loss 2.6973 (2.8307) Prec@1 41.797 (37.988) Prec@5 66.016 (63.872)
Epoch: [22][1600/5005] Time 0.206 (0.223) Data 0.051 (0.069) Loss 2.9193 (2.8309) Prec@1 39.062 (37.983) Prec@5 61.719 (63.873)
Epoch: [22][1610/5005] Time 0.196 (0.223) Data 0.053 (0.069) Loss 2.9023 (2.8311) Prec@1 37.891 (37.988) Prec@5 63.672 (63.872)
Epoch: [22][1620/5005] Time 0.203 (0.223) Data 0.040 (0.069) Loss 3.0612 (2.8309) Prec@1 33.984 (37.989) Prec@5 59.766 (63.873)
Epoch: [22][1630/5005] Time 0.209 (0.223) Data 0.046 (0.069) Loss 2.7703 (2.8311) Prec@1 42.969 (37.991) Prec@5 61.719 (63.870)
Epoch: [22][1640/5005] Time 0.208 (0.223) Data 0.050 (0.069) Loss 2.8632 (2.8314) Prec@1 36.719 (37.993) Prec@5 64.453 (63.870)
Epoch: [22][1650/5005] Time 0.202 (0.223) Data 0.046 (0.069) Loss 2.9666 (2.8316) Prec@1 37.109 (37.994) Prec@5 60.938 (63.865)
Epoch: [22][1660/5005] Time 0.193 (0.223) Data 0.097 (0.069) Loss 2.7442 (2.8310) Prec@1 45.703 (38.015) Prec@5 68.359 (63.878)
Epoch: [22][1670/5005] Time 0.204 (0.223) Data 0.053 (0.070) Loss 2.6007 (2.8310) Prec@1 40.234 (38.022) Prec@5 69.141 (63.885)
Epoch: [22][1680/5005] Time 0.218 (0.223) Data 0.086 (0.069) Loss 3.0723 (2.8313) Prec@1 35.156 (38.018) Prec@5 59.766 (63.880)
Epoch: [22][1690/5005] Time 0.363 (0.223) Data 0.281 (0.070) Loss 2.8156 (2.8310) Prec@1 38.281 (38.020) Prec@5 63.672 (63.883)
Epoch: [22][1700/5005] Time 0.210 (0.223) Data 0.048 (0.070) Loss 2.7786 (2.8304) Prec@1 40.234 (38.025) Prec@5 66.406 (63.891)
Epoch: [22][1710/5005] Time 0.207 (0.223) Data 0.045 (0.070) Loss 2.7162 (2.8300) Prec@1 38.672 (38.029) Prec@5 67.188 (63.901)
Epoch: [22][1720/5005] Time 0.208 (0.223) Data 0.049 (0.070) Loss 2.9358 (2.8300) Prec@1 37.109 (38.031) Prec@5 62.500 (63.901)
Epoch: [22][1730/5005] Time 0.206 (0.223) Data 0.047 (0.070) Loss 2.7411 (2.8299) Prec@1 38.672 (38.033) Prec@5 66.016 (63.907)
Epoch: [22][1740/5005] Time 0.203 (0.223) Data 0.040 (0.070) Loss 2.8853 (2.8296) Prec@1 36.328 (38.034) Prec@5 62.109 (63.917)
Epoch: [22][1750/5005] Time 0.206 (0.223) Data 0.043 (0.070) Loss 2.9467 (2.8292) Prec@1 33.594 (38.037) Prec@5 62.891 (63.919)
Epoch: [22][1760/5005] Time 0.196 (0.223) Data 0.047 (0.071) Loss 2.6654 (2.8291) Prec@1 41.016 (38.039) Prec@5 67.969 (63.922)
Epoch: [22][1770/5005] Time 0.199 (0.224) Data 0.046 (0.071) Loss 2.8601 (2.8289) Prec@1 35.938 (38.039) Prec@5 64.062 (63.928)
Epoch: [22][1780/5005] Time 0.208 (0.223) Data 0.045 (0.071) Loss 2.7174 (2.8289) Prec@1 39.453 (38.036) Prec@5 67.188 (63.928)
Epoch: [22][1790/5005] Time 0.200 (0.223) Data 0.063 (0.071) Loss 2.6383 (2.8286) Prec@1 41.016 (38.039) Prec@5 65.625 (63.933)
Epoch: [22][1800/5005] Time 0.198 (0.223) Data 0.065 (0.071) Loss 2.8325 (2.8283) Prec@1 39.062 (38.043) Prec@5 64.453 (63.935)
Epoch: [22][1810/5005] Time 0.237 (0.223) Data 0.149 (0.071) Loss 2.6490 (2.8281) Prec@1 39.844 (38.041) Prec@5 67.969 (63.936)
Epoch: [22][1820/5005] Time 0.214 (0.223) Data 0.047 (0.071) Loss 2.8472 (2.8281) Prec@1 34.766 (38.052) Prec@5 64.844 (63.941)
Epoch: [22][1830/5005] Time 0.210 (0.223) Data 0.040 (0.071) Loss 2.6667 (2.8277) Prec@1 39.844 (38.050) Prec@5 67.578 (63.944)
Epoch: [22][1840/5005] Time 0.208 (0.223) Data 0.045 (0.071) Loss 2.8858 (2.8277) Prec@1 39.062 (38.053) Prec@5 62.891 (63.945)
Epoch: [22][1850/5005] Time 0.204 (0.223) Data 0.042 (0.071) Loss 2.9353 (2.8274) Prec@1 38.281 (38.065) Prec@5 65.234 (63.949)
Epoch: [22][1860/5005] Time 0.207 (0.223) Data 0.083 (0.071) Loss 2.8420 (2.8276) Prec@1 41.797 (38.064) Prec@5 62.500 (63.946)
Epoch: [22][1870/5005] Time 0.197 (0.223) Data 0.048 (0.071) Loss 3.0749 (2.8279) Prec@1 33.984 (38.060) Prec@5 58.203 (63.941)
Epoch: [22][1880/5005] Time 0.202 (0.223) Data 0.049 (0.071) Loss 2.8774 (2.8280) Prec@1 33.984 (38.054) Prec@5 62.500 (63.942)
Epoch: [22][1890/5005] Time 0.198 (0.223) Data 0.043 (0.071) Loss 2.8410 (2.8281) Prec@1 39.062 (38.049) Prec@5 66.406 (63.940)
Epoch: [22][1900/5005] Time 0.200 (0.224) Data 0.043 (0.071) Loss 2.8504 (2.8285) Prec@1 39.062 (38.044) Prec@5 63.672 (63.933)
Epoch: [22][1910/5005] Time 0.197 (0.223) Data 0.047 (0.071) Loss 2.8788 (2.8286) Prec@1 39.844 (38.047) Prec@5 61.719 (63.927)
Epoch: [22][1920/5005] Time 0.196 (0.223) Data 0.051 (0.071) Loss 2.6603 (2.8282) Prec@1 38.281 (38.050) Prec@5 66.406 (63.934)
Epoch: [22][1930/5005] Time 0.188 (0.223) Data 0.058 (0.071) Loss 2.6870 (2.8282) Prec@1 39.453 (38.053) Prec@5 66.406 (63.932)
Epoch: [22][1940/5005] Time 0.203 (0.223) Data 0.052 (0.071) Loss 2.7140 (2.8280) Prec@1 40.234 (38.054) Prec@5 65.234 (63.935)
Epoch: [22][1950/5005] Time 0.193 (0.223) Data 0.112 (0.072) Loss 2.9131 (2.8281) Prec@1 36.719 (38.055) Prec@5 62.891 (63.937)
Epoch: [22][1960/5005] Time 0.201 (0.223) Data 0.043 (0.072) Loss 2.7407 (2.8278) Prec@1 40.625 (38.061) Prec@5 66.406 (63.943)
Epoch: [22][1970/5005] Time 0.197 (0.223) Data 0.048 (0.072) Loss 2.7520 (2.8279) Prec@1 37.891 (38.058) Prec@5 65.234 (63.944)
Epoch: [22][1980/5005] Time 0.194 (0.223) Data 0.060 (0.072) Loss 2.5524 (2.8277) Prec@1 46.484 (38.059) Prec@5 68.359 (63.948)
Epoch: [22][1990/5005] Time 0.351 (0.224) Data 0.268 (0.072) Loss 2.7253 (2.8275) Prec@1 39.844 (38.061) Prec@5 64.062 (63.953)
Epoch: [22][2000/5005] Time 0.208 (0.223) Data 0.043 (0.072) Loss 2.7014 (2.8275) Prec@1 39.453 (38.062) Prec@5 64.844 (63.950)
Epoch: [22][2010/5005] Time 0.401 (0.224) Data 0.314 (0.072) Loss 2.8143 (2.8276) Prec@1 35.938 (38.059) Prec@5 64.844 (63.944)
Epoch: [22][2020/5005] Time 0.195 (0.223) Data 0.044 (0.072) Loss 2.7110 (2.8276) Prec@1 42.188 (38.060) Prec@5 67.188 (63.943)
Epoch: [22][2030/5005] Time 0.207 (0.224) Data 0.055 (0.072) Loss 2.7381 (2.8276) Prec@1 41.406 (38.066) Prec@5 64.844 (63.945)
Epoch: [22][2040/5005] Time 0.426 (0.224) Data 0.340 (0.072) Loss 2.5123 (2.8273) Prec@1 43.359 (38.073) Prec@5 68.359 (63.955)
Epoch: [22][2050/5005] Time 0.199 (0.224) Data 0.045 (0.072) Loss 2.8710 (2.8272) Prec@1 40.625 (38.076) Prec@5 62.891 (63.957)
Epoch: [22][2060/5005] Time 0.201 (0.224) Data 0.039 (0.072) Loss 2.6943 (2.8272) Prec@1 38.281 (38.073) Prec@5 64.844 (63.954)
Epoch: [22][2070/5005] Time 0.311 (0.224) Data 0.227 (0.073) Loss 2.9658 (2.8274) Prec@1 36.328 (38.071) Prec@5 63.281 (63.950)
Epoch: [22][2080/5005] Time 0.200 (0.224) Data 0.115 (0.073) Loss 2.9393 (2.8275) Prec@1 34.375 (38.069) Prec@5 66.016 (63.950)
Epoch: [22][2090/5005] Time 0.205 (0.224) Data 0.049 (0.073) Loss 2.6363 (2.8270) Prec@1 44.141 (38.075) Prec@5 66.016 (63.955)
Epoch: [22][2100/5005] Time 0.206 (0.224) Data 0.049 (0.073) Loss 2.9351 (2.8270) Prec@1 39.453 (38.078) Prec@5 64.062 (63.960)
Epoch: [22][2110/5005] Time 0.206 (0.224) Data 0.046 (0.073) Loss 2.7406 (2.8269) Prec@1 40.234 (38.081) Prec@5 63.672 (63.963)
Epoch: [22][2120/5005] Time 0.207 (0.223) Data 0.043 (0.073) Loss 2.9103 (2.8269) Prec@1 36.719 (38.083) Prec@5 63.672 (63.965)
Epoch: [22][2130/5005] Time 0.191 (0.224) Data 0.057 (0.073) Loss 2.9038 (2.8268) Prec@1 39.062 (38.086) Prec@5 64.453 (63.967)
Epoch: [22][2140/5005] Time 0.203 (0.224) Data 0.040 (0.073) Loss 2.7228 (2.8269) Prec@1 38.281 (38.085) Prec@5 66.406 (63.967)
Epoch: [22][2150/5005] Time 0.196 (0.224) Data 0.039 (0.073) Loss 2.7556 (2.8268) Prec@1 41.797 (38.085) Prec@5 65.234 (63.971)
Epoch: [22][2160/5005] Time 0.210 (0.224) Data 0.055 (0.073) Loss 2.7695 (2.8268) Prec@1 41.016 (38.089) Prec@5 64.844 (63.970)
Epoch: [22][2170/5005] Time 0.203 (0.224) Data 0.051 (0.073) Loss 2.6000 (2.8264) Prec@1 39.844 (38.091) Prec@5 67.969 (63.976)
Epoch: [22][2180/5005] Time 0.273 (0.224) Data 0.188 (0.073) Loss 2.7372 (2.8263) Prec@1 39.453 (38.091) Prec@5 64.453 (63.978)
Epoch: [22][2190/5005] Time 0.210 (0.224) Data 0.047 (0.073) Loss 2.9879 (2.8263) Prec@1 35.547 (38.089) Prec@5 60.938 (63.982)
Epoch: [22][2200/5005] Time 0.197 (0.224) Data 0.049 (0.073) Loss 2.8188 (2.8265) Prec@1 37.891 (38.085) Prec@5 62.109 (63.980)
Epoch: [22][2210/5005] Time 0.209 (0.224) Data 0.044 (0.074) Loss 2.9200 (2.8269) Prec@1 36.719 (38.079) Prec@5 62.891 (63.977)
Epoch: [22][2220/5005] Time 0.197 (0.224) Data 0.053 (0.074) Loss 2.8316 (2.8268) Prec@1 37.500 (38.080) Prec@5 67.188 (63.981)
Epoch: [22][2230/5005] Time 0.200 (0.224) Data 0.043 (0.074) Loss 2.8694 (2.8269) Prec@1 37.891 (38.081) Prec@5 63.281 (63.982)
Epoch: [22][2240/5005] Time 0.198 (0.224) Data 0.047 (0.074) Loss 2.6526 (2.8268) Prec@1 39.453 (38.080) Prec@5 69.922 (63.985)
Epoch: [22][2250/5005] Time 0.192 (0.224) Data 0.062 (0.073) Loss 2.6668 (2.8268) Prec@1 41.406 (38.087) Prec@5 64.844 (63.985)
Epoch: [22][2260/5005] Time 0.198 (0.224) Data 0.059 (0.074) Loss 2.7415 (2.8263) Prec@1 37.500 (38.096) Prec@5 63.281 (63.993)
Epoch: [22][2270/5005] Time 0.207 (0.224) Data 0.044 (0.074) Loss 3.0284 (2.8261) Prec@1 36.328 (38.100) Prec@5 60.547 (64.001)
Epoch: [22][2280/5005] Time 0.206 (0.224) Data 0.040 (0.074) Loss 2.8701 (2.8261) Prec@1 38.281 (38.100) Prec@5 62.500 (64.005)
Epoch: [22][2290/5005] Time 0.285 (0.224) Data 0.199 (0.074) Loss 2.6337 (2.8261) Prec@1 43.359 (38.104) Prec@5 67.188 (64.002)
Epoch: [22][2300/5005] Time 0.205 (0.224) Data 0.053 (0.074) Loss 2.7948 (2.8260) Prec@1 39.453 (38.109) Prec@5 64.453 (64.004)
Epoch: [22][2310/5005] Time 0.196 (0.224) Data 0.060 (0.074) Loss 2.6012 (2.8260) Prec@1 45.312 (38.112) Prec@5 68.750 (64.008)
Epoch: [22][2320/5005] Time 0.375 (0.224) Data 0.294 (0.074) Loss 2.9631 (2.8261) Prec@1 35.938 (38.110) Prec@5 62.109 (64.005)
Epoch: [22][2330/5005] Time 0.435 (0.224) Data 0.346 (0.074) Loss 2.5182 (2.8259) Prec@1 40.625 (38.110) Prec@5 69.531 (64.009)
Epoch: [22][2340/5005] Time 0.193 (0.224) Data 0.050 (0.074) Loss 2.7806 (2.8256) Prec@1 40.234 (38.115) Prec@5 66.406 (64.018)
Epoch: [22][2350/5005] Time 0.193 (0.224) Data 0.047 (0.074) Loss 2.8505 (2.8255) Prec@1 37.109 (38.118) Prec@5 62.500 (64.016)
Epoch: [22][2360/5005] Time 0.208 (0.224) Data 0.045 (0.074) Loss 2.8731 (2.8256) Prec@1 35.938 (38.116) Prec@5 66.016 (64.010)
Epoch: [22][2370/5005] Time 0.204 (0.224) Data 0.078 (0.074) Loss 2.7714 (2.8256) Prec@1 39.844 (38.116) Prec@5 63.281 (64.005)
Epoch: [22][2380/5005] Time 0.202 (0.224) Data 0.040 (0.074) Loss 2.8628 (2.8255) Prec@1 37.500 (38.119) Prec@5 64.844 (64.009)
Epoch: [22][2390/5005] Time 0.197 (0.224) Data 0.050 (0.075) Loss 2.8623 (2.8254) Prec@1 35.156 (38.121) Prec@5 62.109 (64.012)
Epoch: [22][2400/5005] Time 0.210 (0.224) Data 0.091 (0.074) Loss 2.8599 (2.8256) Prec@1 35.547 (38.114) Prec@5 63.281 (64.009)
Epoch: [22][2410/5005] Time 0.210 (0.224) Data 0.049 (0.074) Loss 3.1029 (2.8258) Prec@1 34.766 (38.113) Prec@5 58.984 (64.007)
Epoch: [22][2420/5005] Time 0.205 (0.224) Data 0.049 (0.074) Loss 2.8525 (2.8257) Prec@1 37.891 (38.117) Prec@5 67.188 (64.012)
Epoch: [22][2430/5005] Time 0.202 (0.224) Data 0.044 (0.075) Loss 2.7384 (2.8258) Prec@1 37.500 (38.116) Prec@5 64.844 (64.007)
Epoch: [22][2440/5005] Time 0.231 (0.224) Data 0.150 (0.075) Loss 2.6076 (2.8258) Prec@1 42.188 (38.115) Prec@5 66.406 (64.006)
Epoch: [22][2450/5005] Time 0.200 (0.224) Data 0.049 (0.075) Loss 2.6183 (2.8257) Prec@1 39.844 (38.113) Prec@5 66.406 (64.006)
Epoch: [22][2460/5005] Time 0.197 (0.224) Data 0.042 (0.075) Loss 2.7764 (2.8258) Prec@1 38.672 (38.115) Prec@5 65.234 (64.006)
Epoch: [22][2470/5005] Time 0.222 (0.224) Data 0.139 (0.075) Loss 2.8507 (2.8259) Prec@1 36.719 (38.111) Prec@5 61.719 (64.005)
Epoch: [22][2480/5005] Time 0.206 (0.224) Data 0.040 (0.075) Loss 2.8386 (2.8259) Prec@1 37.500 (38.113) Prec@5 65.234 (64.005)
Epoch: [22][2490/5005] Time 0.203 (0.224) Data 0.048 (0.075) Loss 2.5973 (2.8260) Prec@1 42.969 (38.111) Prec@5 66.406 (64.004)
Epoch: [22][2500/5005] Time 0.206 (0.224) Data 0.049 (0.075) Loss 2.7688 (2.8260) Prec@1 40.234 (38.112) Prec@5 64.062 (64.005)
Epoch: [22][2510/5005] Time 0.196 (0.224) Data 0.043 (0.075) Loss 2.8559 (2.8261) Prec@1 39.062 (38.114) Prec@5 65.625 (64.006)
Epoch: [22][2520/5005] Time 0.407 (0.224) Data 0.310 (0.075) Loss 2.8592 (2.8261) Prec@1 39.844 (38.114) Prec@5 62.891 (64.007)
Epoch: [22][2530/5005] Time 0.196 (0.224) Data 0.087 (0.075) Loss 2.9465 (2.8262) Prec@1 35.938 (38.113) Prec@5 61.719 (64.008)
Epoch: [22][2540/5005] Time 0.212 (0.224) Data 0.043 (0.075) Loss 2.8013 (2.8261) Prec@1 40.234 (38.114) Prec@5 64.062 (64.010)
Epoch: [22][2550/5005] Time 0.202 (0.224) Data 0.045 (0.075) Loss 2.8631 (2.8261) Prec@1 33.203 (38.111) Prec@5 67.188 (64.014)
Epoch: [22][2560/5005] Time 0.200 (0.224) Data 0.114 (0.075) Loss 2.8960 (2.8262) Prec@1 34.766 (38.107) Prec@5 63.281 (64.011)
Epoch: [22][2570/5005] Time 0.207 (0.224) Data 0.041 (0.075) Loss 2.8143 (2.8264) Prec@1 36.719 (38.107) Prec@5 63.672 (64.011)
Epoch: [22][2580/5005] Time 0.199 (0.224) Data 0.042 (0.075) Loss 2.9695 (2.8269) Prec@1 34.766 (38.099) Prec@5 57.422 (63.998)
Epoch: [22][2590/5005] Time 0.213 (0.224) Data 0.043 (0.075) Loss 2.9747 (2.8267) Prec@1 35.547 (38.106) Prec@5 62.891 (64.001)
Epoch: [22][2600/5005] Time 0.203 (0.224) Data 0.044 (0.075) Loss 2.8158 (2.8269) Prec@1 39.453 (38.103) Prec@5 66.797 (63.996)
Epoch: [22][2610/5005] Time 0.193 (0.224) Data 0.050 (0.075) Loss 3.0361 (2.8269) Prec@1 37.500 (38.103) Prec@5 58.984 (63.994)
Epoch: [22][2620/5005] Time 0.201 (0.224) Data 0.041 (0.075) Loss 2.6916 (2.8269) Prec@1 41.797 (38.106) Prec@5 63.672 (63.995)
Epoch: [22][2630/5005] Time 0.193 (0.224) Data 0.049 (0.075) Loss 2.9108 (2.8271) Prec@1 38.281 (38.107) Prec@5 61.719 (63.993)
Epoch: [22][2640/5005] Time 0.289 (0.224) Data 0.201 (0.075) Loss 2.9089 (2.8271) Prec@1 35.156 (38.102) Prec@5 61.328 (63.995)
Epoch: [22][2650/5005] Time 0.207 (0.224) Data 0.063 (0.075) Loss 3.0961 (2.8273) Prec@1 33.594 (38.101) Prec@5 57.812 (63.987)
Epoch: [22][2660/5005] Time 0.206 (0.224) Data 0.043 (0.075) Loss 2.8408 (2.8273) Prec@1 35.156 (38.101) Prec@5 64.453 (63.986)
Epoch: [22][2670/5005] Time 0.202 (0.224) Data 0.046 (0.075) Loss 2.4698 (2.8271) Prec@1 42.188 (38.105) Prec@5 70.703 (63.989)
Epoch: [22][2680/5005] Time 0.210 (0.224) Data 0.045 (0.075) Loss 2.5654 (2.8271) Prec@1 43.750 (38.104) Prec@5 71.875 (63.992)
Epoch: [22][2690/5005] Time 0.190 (0.224) Data 0.050 (0.075) Loss 2.6795 (2.8269) Prec@1 41.797 (38.105) Prec@5 66.797 (63.997)
Epoch: [22][2700/5005] Time 0.780 (0.224) Data 0.701 (0.076) Loss 2.7739 (2.8270) Prec@1 37.891 (38.102) Prec@5 65.625 (63.996)
Epoch: [22][2710/5005] Time 0.410 (0.224) Data 0.318 (0.076) Loss 2.7560 (2.8273) Prec@1 41.406 (38.096) Prec@5 66.406 (63.989)
Epoch: [22][2720/5005] Time 0.201 (0.224) Data 0.092 (0.076) Loss 2.7887 (2.8274) Prec@1 40.234 (38.092) Prec@5 66.016 (63.988)
Epoch: [22][2730/5005] Time 0.199 (0.224) Data 0.042 (0.076) Loss 2.8812 (2.8273) Prec@1 36.328 (38.093) Prec@5 63.281 (63.990)
Epoch: [22][2740/5005] Time 0.201 (0.224) Data 0.045 (0.076) Loss 2.8281 (2.8274) Prec@1 39.844 (38.092) Prec@5 67.969 (63.991)
Epoch: [22][2750/5005] Time 0.203 (0.224) Data 0.044 (0.076) Loss 2.6628 (2.8273) Prec@1 38.672 (38.094) Prec@5 65.625 (63.992)
Epoch: [22][2760/5005] Time 0.201 (0.224) Data 0.041 (0.076) Loss 2.7941 (2.8273) Prec@1 42.969 (38.097) Prec@5 64.453 (63.992)
Epoch: [22][2770/5005] Time 0.205 (0.224) Data 0.043 (0.076) Loss 2.7295 (2.8274) Prec@1 40.625 (38.098) Prec@5 67.969 (63.993)
Epoch: [22][2780/5005] Time 0.197 (0.224) Data 0.042 (0.076) Loss 2.9825 (2.8274) Prec@1 35.547 (38.099) Prec@5 59.766 (63.993)
Epoch: [22][2790/5005] Time 0.205 (0.224) Data 0.040 (0.076) Loss 3.0332 (2.8275) Prec@1 35.156 (38.099) Prec@5 60.547 (63.992)
Epoch: [22][2800/5005] Time 0.201 (0.224) Data 0.091 (0.076) Loss 2.4736 (2.8274) Prec@1 43.750 (38.103) Prec@5 71.094 (63.995)
Epoch: [22][2810/5005] Time 0.197 (0.224) Data 0.051 (0.076) Loss 2.9228 (2.8274) Prec@1 35.547 (38.105) Prec@5 61.719 (63.995)
Epoch: [22][2820/5005] Time 0.285 (0.224) Data 0.202 (0.076) Loss 2.6522 (2.8273) Prec@1 37.500 (38.104) Prec@5 64.062 (63.998)
Epoch: [22][2830/5005] Time 0.198 (0.224) Data 0.105 (0.076) Loss 3.0191 (2.8274) Prec@1 38.672 (38.105) Prec@5 60.547 (63.994)
Epoch: [22][2840/5005] Time 0.206 (0.224) Data 0.048 (0.076) Loss 2.8626 (2.8274) Prec@1 36.719 (38.103) Prec@5 64.844 (63.993)
Epoch: [22][2850/5005] Time 0.225 (0.224) Data 0.143 (0.076) Loss 2.7966 (2.8273) Prec@1 39.844 (38.107) Prec@5 62.891 (63.995)
Epoch: [22][2860/5005] Time 0.206 (0.224) Data 0.048 (0.076) Loss 2.7337 (2.8275) Prec@1 42.188 (38.107) Prec@5 68.359 (63.993)
Epoch: [22][2870/5005] Time 0.206 (0.224) Data 0.045 (0.076) Loss 2.6569 (2.8272) Prec@1 39.844 (38.111) Prec@5 66.797 (64.000)
Epoch: [22][2880/5005] Time 0.231 (0.224) Data 0.144 (0.076) Loss 2.8986 (2.8273) Prec@1 33.594 (38.111) Prec@5 64.844 (63.994)
Epoch: [22][2890/5005] Time 0.280 (0.224) Data 0.200 (0.076) Loss 2.9287 (2.8272) Prec@1 33.203 (38.112) Prec@5 63.281 (63.999)
Epoch: [22][2900/5005] Time 0.195 (0.224) Data 0.056 (0.076) Loss 2.6549 (2.8269) Prec@1 41.797 (38.119) Prec@5 67.578 (64.007)
Epoch: [22][2910/5005] Time 0.245 (0.224) Data 0.160 (0.076) Loss 2.9390 (2.8269) Prec@1 35.156 (38.116) Prec@5 64.062 (64.008)
Epoch: [22][2920/5005] Time 0.210 (0.224) Data 0.045 (0.076) Loss 2.9283 (2.8270) Prec@1 34.375 (38.117) Prec@5 62.500 (64.009)
Epoch: [22][2930/5005] Time 0.203 (0.224) Data 0.050 (0.076) Loss 3.1169 (2.8272) Prec@1 34.375 (38.116) Prec@5 57.031 (64.007)
Epoch: [22][2940/5005] Time 0.202 (0.224) Data 0.050 (0.076) Loss 2.7741 (2.8270) Prec@1 37.500 (38.116) Prec@5 66.016 (64.014)
Epoch: [22][2950/5005] Time 0.195 (0.224) Data 0.044 (0.076) Loss 3.0368 (2.8268) Prec@1 30.469 (38.119) Prec@5 62.109 (64.020)
Epoch: [22][2960/5005] Time 0.204 (0.224) Data 0.046 (0.077) Loss 2.8812 (2.8268) Prec@1 40.234 (38.124) Prec@5 63.672 (64.020)
Epoch: [22][2970/5005] Time 0.209 (0.224) Data 0.052 (0.076) Loss 2.8860 (2.8267) Prec@1 36.719 (38.121) Prec@5 62.891 (64.018)
Epoch: [22][2980/5005] Time 0.196 (0.224) Data 0.063 (0.077) Loss 2.9174 (2.8268) Prec@1 33.984 (38.119) Prec@5 63.281 (64.020)
Epoch: [22][2990/5005] Time 0.202 (0.225) Data 0.045 (0.077) Loss 2.8359 (2.8268) Prec@1 37.891 (38.121) Prec@5 65.625 (64.018)
Epoch: [22][3000/5005] Time 0.205 (0.225) Data 0.053 (0.077) Loss 2.8230 (2.8266) Prec@1 37.500 (38.122) Prec@5 64.844 (64.017)
Epoch: [22][3010/5005] Time 0.198 (0.225) Data 0.048 (0.077) Loss 2.7967 (2.8267) Prec@1 39.844 (38.123) Prec@5 67.188 (64.017)
Epoch: [22][3020/5005] Time 0.207 (0.225) Data 0.043 (0.077) Loss 2.7034 (2.8269) Prec@1 39.062 (38.120) Prec@5 66.016 (64.012)
Epoch: [22][3030/5005] Time 0.210 (0.225) Data 0.041 (0.077) Loss 2.8655 (2.8271) Prec@1 39.062 (38.118) Prec@5 64.453 (64.009)
Epoch: [22][3040/5005] Time 0.191 (0.224) Data 0.110 (0.077) Loss 2.7241 (2.8270) Prec@1 42.969 (38.124) Prec@5 64.844 (64.012)
Epoch: [22][3050/5005] Time 0.559 (0.225) Data 0.476 (0.077) Loss 2.7695 (2.8270) Prec@1 36.328 (38.121) Prec@5 64.844 (64.013)
Epoch: [22][3060/5005] Time 0.206 (0.225) Data 0.047 (0.077) Loss 2.7754 (2.8270) Prec@1 38.672 (38.118) Prec@5 65.234 (64.013)
Epoch: [22][3070/5005] Time 0.202 (0.224) Data 0.046 (0.077) Loss 2.8645 (2.8271) Prec@1 38.281 (38.118) Prec@5 62.500 (64.013)
Epoch: [22][3080/5005] Time 0.196 (0.225) Data 0.045 (0.077) Loss 2.6710 (2.8271) Prec@1 39.062 (38.114) Prec@5 65.625 (64.011)
Epoch: [22][3090/5005] Time 0.200 (0.225) Data 0.050 (0.077) Loss 3.1690 (2.8272) Prec@1 28.125 (38.110) Prec@5 58.203 (64.012)
Epoch: [22][3100/5005] Time 0.415 (0.225) Data 0.330 (0.077) Loss 2.8628 (2.8272) Prec@1 39.844 (38.106) Prec@5 64.453 (64.010)
Epoch: [22][3110/5005] Time 0.204 (0.225) Data 0.044 (0.077) Loss 2.5550 (2.8270) Prec@1 39.062 (38.108) Prec@5 69.922 (64.015)
Epoch: [22][3120/5005] Time 0.199 (0.225) Data 0.048 (0.077) Loss 2.9309 (2.8271) Prec@1 36.719 (38.107) Prec@5 62.500 (64.013)
Epoch: [22][3130/5005] Time 0.201 (0.225) Data 0.041 (0.077) Loss 3.0462 (2.8269) Prec@1 31.641 (38.111) Prec@5 59.766 (64.018)
Epoch: [22][3140/5005] Time 0.199 (0.225) Data 0.045 (0.077) Loss 2.5135 (2.8267) Prec@1 47.266 (38.116) Prec@5 68.750 (64.019)
Epoch: [22][3150/5005] Time 0.200 (0.225) Data 0.043 (0.077) Loss 2.8673 (2.8266) Prec@1 35.547 (38.120) Prec@5 62.891 (64.021)
Epoch: [22][3160/5005] Time 0.210 (0.225) Data 0.043 (0.077) Loss 2.6023 (2.8265) Prec@1 37.500 (38.123) Prec@5 67.188 (64.023)
Epoch: [22][3170/5005] Time 0.208 (0.225) Data 0.041 (0.077) Loss 2.9779 (2.8268) Prec@1 36.328 (38.121) Prec@5 60.938 (64.020)
Epoch: [22][3180/5005] Time 0.247 (0.225) Data 0.161 (0.077) Loss 2.6325 (2.8268) Prec@1 45.703 (38.121) Prec@5 66.797 (64.017)
Epoch: [22][3190/5005] Time 0.269 (0.225) Data 0.188 (0.077) Loss 2.8242 (2.8269) Prec@1 36.719 (38.118) Prec@5 62.500 (64.018)
Epoch: [22][3200/5005] Time 0.210 (0.225) Data 0.044 (0.077) Loss 3.0224 (2.8268) Prec@1 34.375 (38.118) Prec@5 62.500 (64.022)
Epoch: [22][3210/5005] Time 0.196 (0.225) Data 0.050 (0.077) Loss 3.0321 (2.8269) Prec@1 35.156 (38.117) Prec@5 60.156 (64.019)
Epoch: [22][3220/5005] Time 0.203 (0.225) Data 0.044 (0.077) Loss 2.7763 (2.8268) Prec@1 41.406 (38.119) Prec@5 64.844 (64.021)
Epoch: [22][3230/5005] Time 0.197 (0.224) Data 0.094 (0.077) Loss 2.7844 (2.8268) Prec@1 39.062 (38.117) Prec@5 62.500 (64.023)
Epoch: [22][3240/5005] Time 0.198 (0.225) Data 0.087 (0.077) Loss 3.1334 (2.8272) Prec@1 29.688 (38.109) Prec@5 60.156 (64.016)
Epoch: [22][3250/5005] Time 0.353 (0.225) Data 0.273 (0.077) Loss 2.7710 (2.8273) Prec@1 37.891 (38.105) Prec@5 65.625 (64.016)
Epoch: [22][3260/5005] Time 0.200 (0.225) Data 0.040 (0.077) Loss 2.8020 (2.8274) Prec@1 40.625 (38.103) Prec@5 64.062 (64.013)
Epoch: [22][3270/5005] Time 0.200 (0.225) Data 0.044 (0.077) Loss 2.8701 (2.8273) Prec@1 37.891 (38.106) Prec@5 64.844 (64.017)
Epoch: [22][3280/5005] Time 0.415 (0.225) Data 0.332 (0.078) Loss 2.8168 (2.8275) Prec@1 40.625 (38.102) Prec@5 66.406 (64.013)
Epoch: [22][3290/5005] Time 0.201 (0.225) Data 0.106 (0.077) Loss 2.8355 (2.8274) Prec@1 40.234 (38.100) Prec@5 63.672 (64.014)
Epoch: [22][3300/5005] Time 0.250 (0.225) Data 0.159 (0.077) Loss 2.7795 (2.8274) Prec@1 37.891 (38.100) Prec@5 65.234 (64.016)
Epoch: [22][3310/5005] Time 0.203 (0.225) Data 0.045 (0.078) Loss 2.7663 (2.8275) Prec@1 38.281 (38.097) Prec@5 63.672 (64.012)
Epoch: [22][3320/5005] Time 0.198 (0.225) Data 0.050 (0.078) Loss 2.8801 (2.8275) Prec@1 41.797 (38.098) Prec@5 61.719 (64.011)
Epoch: [22][3330/5005] Time 0.444 (0.225) Data 0.361 (0.078) Loss 2.9507 (2.8276) Prec@1 35.938 (38.095) Prec@5 58.984 (64.010)
Epoch: [22][3340/5005] Time 0.199 (0.225) Data 0.047 (0.078) Loss 2.8234 (2.8276) Prec@1 39.062 (38.097) Prec@5 64.453 (64.013)
Epoch: [22][3350/5005] Time 0.195 (0.225) Data 0.056 (0.078) Loss 2.8394 (2.8275) Prec@1 37.109 (38.094) Prec@5 65.625 (64.016)
Epoch: [22][3360/5005] Time 0.208 (0.225) Data 0.041 (0.078) Loss 2.7893 (2.8276) Prec@1 41.797 (38.094) Prec@5 65.234 (64.016)
Epoch: [22][3370/5005] Time 0.762 (0.225) Data 0.675 (0.078) Loss 2.8883 (2.8276) Prec@1 32.031 (38.092) Prec@5 64.844 (64.016)
Epoch: [22][3380/5005] Time 0.190 (0.225) Data 0.050 (0.078) Loss 2.5838 (2.8275) Prec@1 39.844 (38.094) Prec@5 65.625 (64.014)
Epoch: [22][3390/5005] Time 0.205 (0.225) Data 0.041 (0.078) Loss 2.8005 (2.8277) Prec@1 37.891 (38.091) Prec@5 64.062 (64.009)
Epoch: [22][3400/5005] Time 0.201 (0.225) Data 0.040 (0.078) Loss 2.8223 (2.8279) Prec@1 36.328 (38.088) Prec@5 64.453 (64.011)
Epoch: [22][3410/5005] Time 0.203 (0.225) Data 0.039 (0.078) Loss 2.7936 (2.8278) Prec@1 37.109 (38.091) Prec@5 63.672 (64.013)
Epoch: [22][3420/5005] Time 0.209 (0.225) Data 0.050 (0.078) Loss 2.8310 (2.8280) Prec@1 38.281 (38.085) Prec@5 66.016 (64.010)
Epoch: [22][3430/5005] Time 0.197 (0.225) Data 0.044 (0.078) Loss 2.9091 (2.8282) Prec@1 38.281 (38.081) Prec@5 62.109 (64.006)
Epoch: [22][3440/5005] Time 0.198 (0.225) Data 0.084 (0.078) Loss 2.8618 (2.8282) Prec@1 34.766 (38.081) Prec@5 61.328 (64.006)
Epoch: [22][3450/5005] Time 0.205 (0.225) Data 0.044 (0.078) Loss 2.7048 (2.8281) Prec@1 40.625 (38.083) Prec@5 64.453 (64.008)
Epoch: [22][3460/5005] Time 0.204 (0.225) Data 0.038 (0.078) Loss 2.7278 (2.8283) Prec@1 41.406 (38.081) Prec@5 67.188 (64.006)
Epoch: [22][3470/5005] Time 0.201 (0.225) Data 0.039 (0.078) Loss 2.6857 (2.8283) Prec@1 36.719 (38.080) Prec@5 65.234 (64.006)
Epoch: [22][3480/5005] Time 0.207 (0.225) Data 0.053 (0.078) Loss 2.7436 (2.8280) Prec@1 36.719 (38.081) Prec@5 65.625 (64.013)
Epoch: [22][3490/5005] Time 0.203 (0.225) Data 0.041 (0.078) Loss 3.0696 (2.8283) Prec@1 32.812 (38.075) Prec@5 62.109 (64.010)
Epoch: [22][3500/5005] Time 0.202 (0.225) Data 0.044 (0.078) Loss 2.6531 (2.8283) Prec@1 37.891 (38.072) Prec@5 68.359 (64.008)
Epoch: [22][3510/5005] Time 0.223 (0.225) Data 0.136 (0.078) Loss 2.8729 (2.8282) Prec@1 38.672 (38.072) Prec@5 62.891 (64.011)
Epoch: [22][3520/5005] Time 0.210 (0.225) Data 0.046 (0.078) Loss 2.9826 (2.8284) Prec@1 37.109 (38.070) Prec@5 62.109 (64.009)
Epoch: [22][3530/5005] Time 0.203 (0.225) Data 0.053 (0.078) Loss 2.9397 (2.8282) Prec@1 38.281 (38.078) Prec@5 61.328 (64.013)
Epoch: [22][3540/5005] Time 0.205 (0.225) Data 0.041 (0.078) Loss 2.8376 (2.8281) Prec@1 35.938 (38.082) Prec@5 63.672 (64.015)
Epoch: [22][3550/5005] Time 0.203 (0.225) Data 0.123 (0.078) Loss 2.8406 (2.8279) Prec@1 36.328 (38.086) Prec@5 63.281 (64.016)
Epoch: [22][3560/5005] Time 0.377 (0.225) Data 0.292 (0.078) Loss 2.9288 (2.8279) Prec@1 36.719 (38.085) Prec@5 59.766 (64.012)
Epoch: [22][3570/5005] Time 0.195 (0.225) Data 0.053 (0.078) Loss 2.8375 (2.8279) Prec@1 36.719 (38.084) Prec@5 66.016 (64.013)
Epoch: [22][3580/5005] Time 0.201 (0.225) Data 0.040 (0.078) Loss 2.7622 (2.8279) Prec@1 38.672 (38.083) Prec@5 61.719 (64.013)
Epoch: [22][3590/5005] Time 0.489 (0.225) Data 0.399 (0.078) Loss 3.0234 (2.8278) Prec@1 35.156 (38.082) Prec@5 57.422 (64.015)
Epoch: [22][3600/5005] Time 0.213 (0.225) Data 0.044 (0.078) Loss 2.9774 (2.8276) Prec@1 39.453 (38.082) Prec@5 59.766 (64.017)
Epoch: [22][3610/5005] Time 0.205 (0.225) Data 0.044 (0.078) Loss 2.8097 (2.8277) Prec@1 39.062 (38.084) Prec@5 60.156 (64.014)
Epoch: [22][3620/5005] Time 0.211 (0.225) Data 0.043 (0.078) Loss 2.8973 (2.8275) Prec@1 36.328 (38.090) Prec@5 61.328 (64.020)
Epoch: [22][3630/5005] Time 0.212 (0.225) Data 0.048 (0.078) Loss 2.9900 (2.8274) Prec@1 35.547 (38.091) Prec@5 58.203 (64.021)
Epoch: [22][3640/5005] Time 0.208 (0.225) Data 0.045 (0.078) Loss 2.8288 (2.8274) Prec@1 35.938 (38.092) Prec@5 66.016 (64.023)
Epoch: [22][3650/5005] Time 0.194 (0.225) Data 0.055 (0.078) Loss 2.7917 (2.8275) Prec@1 38.281 (38.089) Prec@5 64.453 (64.021)
Epoch: [22][3660/5005] Time 0.203 (0.225) Data 0.047 (0.078) Loss 2.9075 (2.8275) Prec@1 35.547 (38.090) Prec@5 62.109 (64.022)
Epoch: [22][3670/5005] Time 0.197 (0.225) Data 0.091 (0.078) Loss 3.0395 (2.8277) Prec@1 34.766 (38.086) Prec@5 58.203 (64.020)
Epoch: [22][3680/5005] Time 0.197 (0.225) Data 0.055 (0.078) Loss 2.7814 (2.8278) Prec@1 40.234 (38.086) Prec@5 64.844 (64.017)
Epoch: [22][3690/5005] Time 0.198 (0.225) Data 0.049 (0.078) Loss 2.6229 (2.8278) Prec@1 39.453 (38.084) Prec@5 67.969 (64.019)
Epoch: [22][3700/5005] Time 0.221 (0.225) Data 0.133 (0.078) Loss 2.8462 (2.8279) Prec@1 36.719 (38.084) Prec@5 65.234 (64.015)
Epoch: [22][3710/5005] Time 0.207 (0.225) Data 0.046 (0.078) Loss 2.6519 (2.8279) Prec@1 41.797 (38.081) Prec@5 66.406 (64.014)
Epoch: [22][3720/5005] Time 0.188 (0.225) Data 0.046 (0.078) Loss 2.9139 (2.8279) Prec@1 38.672 (38.082) Prec@5 63.281 (64.013)
Epoch: [22][3730/5005] Time 0.196 (0.225) Data 0.043 (0.078) Loss 2.7731 (2.8279) Prec@1 42.578 (38.084) Prec@5 64.062 (64.013)
Epoch: [22][3740/5005] Time 0.191 (0.225) Data 0.091 (0.078) Loss 2.8366 (2.8277) Prec@1 38.672 (38.086) Prec@5 63.281 (64.015)
Epoch: [22][3750/5005] Time 0.204 (0.225) Data 0.047 (0.078) Loss 2.7467 (2.8278) Prec@1 39.062 (38.081) Prec@5 65.625 (64.013)
Epoch: [22][3760/5005] Time 0.462 (0.225) Data 0.379 (0.079) Loss 2.8776 (2.8281) Prec@1 40.234 (38.075) Prec@5 60.156 (64.007)
Epoch: [22][3770/5005] Time 0.193 (0.225) Data 0.046 (0.078) Loss 2.8264 (2.8279) Prec@1 35.547 (38.076) Prec@5 61.719 (64.006)
Epoch: [22][3780/5005] Time 0.210 (0.225) Data 0.048 (0.078) Loss 2.8040 (2.8280) Prec@1 39.062 (38.074) Prec@5 64.062 (64.004)
Epoch: [22][3790/5005] Time 0.210 (0.225) Data 0.041 (0.078) Loss 2.8939 (2.8281) Prec@1 38.281 (38.071) Prec@5 60.938 (64.004)
Epoch: [22][3800/5005] Time 0.212 (0.225) Data 0.039 (0.078) Loss 2.6433 (2.8283) Prec@1 38.672 (38.069) Prec@5 66.797 (64.000)
Epoch: [22][3810/5005] Time 0.204 (0.225) Data 0.041 (0.079) Loss 2.7252 (2.8283) Prec@1 40.625 (38.066) Prec@5 67.578 (63.999)
Epoch: [22][3820/5005] Time 0.506 (0.225) Data 0.415 (0.079) Loss 2.7822 (2.8282) Prec@1 38.672 (38.069) Prec@5 64.844 (64.003)
Epoch: [22][3830/5005] Time 0.199 (0.225) Data 0.047 (0.079) Loss 2.8203 (2.8280) Prec@1 37.500 (38.072) Prec@5 62.891 (64.005)
Epoch: [22][3840/5005] Time 0.200 (0.225) Data 0.044 (0.079) Loss 2.9400 (2.8280) Prec@1 32.031 (38.072) Prec@5 59.375 (64.002)
Epoch: [22][3850/5005] Time 0.202 (0.225) Data 0.042 (0.079) Loss 2.9056 (2.8280) Prec@1 39.062 (38.072) Prec@5 64.062 (64.006)
Epoch: [22][3860/5005] Time 0.202 (0.225) Data 0.043 (0.079) Loss 2.4830 (2.8281) Prec@1 46.484 (38.074) Prec@5 67.969 (64.003)
Epoch: [22][3870/5005] Time 0.209 (0.225) Data 0.043 (0.079) Loss 2.8358 (2.8282) Prec@1 36.328 (38.071) Prec@5 62.891 (63.999)
Epoch: [22][3880/5005] Time 0.206 (0.225) Data 0.042 (0.078) Loss 2.7821 (2.8284) Prec@1 42.188 (38.070) Prec@5 63.672 (63.997)
Epoch: [22][3890/5005] Time 0.206 (0.225) Data 0.041 (0.078) Loss 3.1224 (2.8284) Prec@1 33.594 (38.070) Prec@5 59.375 (63.996)
Epoch: [22][3900/5005] Time 0.206 (0.225) Data 0.098 (0.079) Loss 3.1583 (2.8286) Prec@1 35.547 (38.067) Prec@5 58.203 (63.994)
Epoch: [22][3910/5005] Time 0.204 (0.225) Data 0.053 (0.079) Loss 2.9103 (2.8286) Prec@1 30.859 (38.064) Prec@5 65.625 (63.996)
Epoch: [22][3920/5005] Time 0.214 (0.225) Data 0.046 (0.079) Loss 2.8696 (2.8286) Prec@1 37.109 (38.065) Prec@5 61.328 (63.995)
Epoch: [22][3930/5005] Time 0.195 (0.225) Data 0.054 (0.079) Loss 2.7416 (2.8286) Prec@1 40.625 (38.066) Prec@5 64.844 (63.994)
Epoch: [22][3940/5005] Time 0.263 (0.225) Data 0.170 (0.079) Loss 2.8852 (2.8286) Prec@1 38.672 (38.066) Prec@5 62.500 (63.992)
Epoch: [22][3950/5005] Time 0.196 (0.225) Data 0.045 (0.079) Loss 2.8084 (2.8284) Prec@1 40.625 (38.069) Prec@5 65.234 (63.995)
Epoch: [22][3960/5005] Time 0.198 (0.225) Data 0.106 (0.079) Loss 2.7907 (2.8285) Prec@1 39.453 (38.069) Prec@5 63.281 (63.992)
Epoch: [22][3970/5005] Time 0.193 (0.225) Data 0.099 (0.079) Loss 2.8371 (2.8285) Prec@1 37.891 (38.068) Prec@5 62.500 (63.991)
Epoch: [22][3980/5005] Time 0.191 (0.225) Data 0.050 (0.079) Loss 2.6056 (2.8284) Prec@1 41.797 (38.068) Prec@5 66.406 (63.993)
Epoch: [22][3990/5005] Time 0.208 (0.225) Data 0.046 (0.079) Loss 2.9618 (2.8286) Prec@1 38.281 (38.065) Prec@5 61.719 (63.992)
Epoch: [22][4000/5005] Time 0.202 (0.225) Data 0.048 (0.079) Loss 2.7677 (2.8286) Prec@1 38.672 (38.062) Prec@5 64.062 (63.990)
Epoch: [22][4010/5005] Time 0.207 (0.225) Data 0.040 (0.079) Loss 2.9427 (2.8285) Prec@1 36.719 (38.065) Prec@5 59.766 (63.991)
Epoch: [22][4020/5005] Time 0.200 (0.225) Data 0.049 (0.079) Loss 2.8924 (2.8285) Prec@1 39.844 (38.064) Prec@5 60.938 (63.990)
Epoch: [22][4030/5005] Time 0.196 (0.225) Data 0.108 (0.079) Loss 3.0161 (2.8287) Prec@1 35.938 (38.062) Prec@5 62.891 (63.985)
Epoch: [22][4040/5005] Time 0.207 (0.225) Data 0.051 (0.079) Loss 2.8772 (2.8289) Prec@1 39.062 (38.061) Prec@5 62.500 (63.983)
Epoch: [22][4050/5005] Time 0.199 (0.225) Data 0.044 (0.079) Loss 3.1335 (2.8288) Prec@1 33.203 (38.064) Prec@5 57.031 (63.983)
Epoch: [22][4060/5005] Time 0.285 (0.225) Data 0.204 (0.079) Loss 2.9517 (2.8289) Prec@1 35.547 (38.061) Prec@5 59.375 (63.980)
Epoch: [22][4070/5005] Time 0.198 (0.225) Data 0.049 (0.079) Loss 2.9151 (2.8289) Prec@1 39.844 (38.062) Prec@5 64.844 (63.984)
Epoch: [22][4080/5005] Time 0.473 (0.225) Data 0.389 (0.079) Loss 2.8081 (2.8290) Prec@1 39.844 (38.062) Prec@5 64.062 (63.983)
Epoch: [22][4090/5005] Time 0.199 (0.225) Data 0.052 (0.079) Loss 2.9428 (2.8290) Prec@1 33.984 (38.060) Prec@5 61.719 (63.981)
Epoch: [22][4100/5005] Time 0.204 (0.225) Data 0.039 (0.079) Loss 2.8473 (2.8290) Prec@1 33.594 (38.060) Prec@5 62.109 (63.980)
Epoch: [22][4110/5005] Time 0.205 (0.225) Data 0.041 (0.079) Loss 3.0591 (2.8291) Prec@1 33.594 (38.056) Prec@5 57.812 (63.980)
Epoch: [22][4120/5005] Time 0.438 (0.225) Data 0.354 (0.079) Loss 2.9590 (2.8289) Prec@1 34.375 (38.057) Prec@5 61.719 (63.982)
Epoch: [22][4130/5005] Time 0.205 (0.225) Data 0.047 (0.079) Loss 3.0894 (2.8289) Prec@1 33.984 (38.058) Prec@5 58.203 (63.982)
Epoch: [22][4140/5005] Time 0.196 (0.225) Data 0.046 (0.079) Loss 2.8300 (2.8288) Prec@1 39.844 (38.061) Prec@5 62.500 (63.984)
Epoch: [22][4150/5005] Time 0.196 (0.225) Data 0.049 (0.079) Loss 3.0117 (2.8288) Prec@1 36.328 (38.063) Prec@5 62.500 (63.984)
Epoch: [22][4160/5005] Time 0.199 (0.225) Data 0.102 (0.079) Loss 2.8750 (2.8290) Prec@1 39.453 (38.063) Prec@5 64.453 (63.981)
Epoch: [22][4170/5005] Time 0.197 (0.225) Data 0.054 (0.079) Loss 2.7529 (2.8288) Prec@1 36.719 (38.067) Prec@5 64.062 (63.986)
Epoch: [22][4180/5005] Time 0.197 (0.225) Data 0.045 (0.079) Loss 2.7585 (2.8287) Prec@1 44.922 (38.069) Prec@5 65.625 (63.987)
Epoch: [22][4190/5005] Time 0.203 (0.225) Data 0.040 (0.079) Loss 2.6648 (2.8288) Prec@1 39.453 (38.069) Prec@5 63.281 (63.984)
Epoch: [22][4200/5005] Time 0.207 (0.225) Data 0.109 (0.079) Loss 2.6909 (2.8288) Prec@1 40.234 (38.067) Prec@5 65.234 (63.984)
Epoch: [22][4210/5005] Time 0.200 (0.225) Data 0.046 (0.079) Loss 2.6533 (2.8288) Prec@1 42.578 (38.071) Prec@5 69.922 (63.985)
Epoch: [22][4220/5005] Time 0.202 (0.225) Data 0.040 (0.079) Loss 2.9732 (2.8289) Prec@1 35.156 (38.071) Prec@5 59.375 (63.983)
Epoch: [22][4230/5005] Time 0.194 (0.225) Data 0.049 (0.079) Loss 2.8500 (2.8288) Prec@1 39.453 (38.072) Prec@5 62.891 (63.981)
Epoch: [22][4240/5005] Time 0.400 (0.225) Data 0.303 (0.079) Loss 2.6264 (2.8288) Prec@1 39.062 (38.069) Prec@5 69.141 (63.982)
Epoch: [22][4250/5005] Time 0.195 (0.225) Data 0.048 (0.079) Loss 2.7443 (2.8287) Prec@1 39.453 (38.070) Prec@5 65.234 (63.984)
Epoch: [22][4260/5005] Time 0.211 (0.225) Data 0.040 (0.079) Loss 2.8382 (2.8287) Prec@1 34.375 (38.072) Prec@5 64.062 (63.984)
Epoch: [22][4270/5005] Time 0.205 (0.225) Data 0.061 (0.079) Loss 3.0819 (2.8288) Prec@1 35.938 (38.074) Prec@5 56.250 (63.983)
Epoch: [22][4280/5005] Time 0.195 (0.225) Data 0.051 (0.079) Loss 2.8308 (2.8288) Prec@1 37.109 (38.074) Prec@5 66.797 (63.984)
Epoch: [22][4290/5005] Time 0.207 (0.225) Data 0.044 (0.079) Loss 2.9889 (2.8288) Prec@1 34.766 (38.073) Prec@5 60.938 (63.984)
Epoch: [22][4300/5005] Time 0.448 (0.225) Data 0.356 (0.079) Loss 2.6985 (2.8287) Prec@1 38.672 (38.074) Prec@5 69.531 (63.988)
Epoch: [22][4310/5005] Time 0.207 (0.225) Data 0.045 (0.079) Loss 2.6192 (2.8286) Prec@1 41.016 (38.079) Prec@5 67.969 (63.988)
Epoch: [22][4320/5005] Time 0.197 (0.225) Data 0.044 (0.079) Loss 2.7221 (2.8287) Prec@1 37.500 (38.076) Prec@5 67.578 (63.987)
Epoch: [22][4330/5005] Time 0.204 (0.225) Data 0.043 (0.079) Loss 2.6316 (2.8287) Prec@1 37.500 (38.075) Prec@5 66.406 (63.985)
Epoch: [22][4340/5005] Time 0.197 (0.225) Data 0.088 (0.079) Loss 2.8308 (2.8289) Prec@1 35.547 (38.070) Prec@5 63.281 (63.984)
Epoch: [22][4350/5005] Time 0.186 (0.225) Data 0.098 (0.079) Loss 2.9456 (2.8288) Prec@1 38.672 (38.072) Prec@5 62.109 (63.984)
Epoch: [22][4360/5005] Time 0.195 (0.225) Data 0.048 (0.080) Loss 2.7404 (2.8287) Prec@1 30.469 (38.073) Prec@5 62.891 (63.986)
Epoch: [22][4370/5005] Time 0.199 (0.225) Data 0.044 (0.080) Loss 2.7802 (2.8287) Prec@1 38.281 (38.071) Prec@5 66.797 (63.987)
Epoch: [22][4380/5005] Time 0.196 (0.225) Data 0.048 (0.080) Loss 3.0433 (2.8287) Prec@1 33.984 (38.067) Prec@5 63.672 (63.987)
Epoch: [22][4390/5005] Time 0.376 (0.225) Data 0.291 (0.080) Loss 2.9272 (2.8286) Prec@1 35.938 (38.069) Prec@5 60.938 (63.989)
Epoch: [22][4400/5005] Time 0.191 (0.225) Data 0.105 (0.080) Loss 2.7300 (2.8286) Prec@1 40.234 (38.068) Prec@5 64.062 (63.988)
Epoch: [22][4410/5005] Time 0.201 (0.225) Data 0.041 (0.080) Loss 2.7169 (2.8285) Prec@1 38.281 (38.070) Prec@5 64.062 (63.986)
Epoch: [22][4420/5005] Time 0.203 (0.225) Data 0.040 (0.080) Loss 2.6577 (2.8284) Prec@1 38.672 (38.069) Prec@5 68.359 (63.988)
Epoch: [22][4430/5005] Time 0.203 (0.225) Data 0.040 (0.080) Loss 2.8528 (2.8282) Prec@1 37.500 (38.073) Prec@5 65.234 (63.992)
Epoch: [22][4440/5005] Time 0.199 (0.225) Data 0.045 (0.080) Loss 3.0339 (2.8282) Prec@1 34.766 (38.076) Prec@5 60.547 (63.992)
Epoch: [22][4450/5005] Time 0.197 (0.225) Data 0.051 (0.080) Loss 2.7675 (2.8282) Prec@1 39.844 (38.079) Prec@5 61.328 (63.991)
Epoch: [22][4460/5005] Time 0.198 (0.225) Data 0.044 (0.080) Loss 2.8950 (2.8281) Prec@1 37.109 (38.082) Prec@5 65.625 (63.994)
Epoch: [22][4470/5005] Time 0.194 (0.225) Data 0.050 (0.080) Loss 2.8233 (2.8282) Prec@1 33.594 (38.083) Prec@5 66.016 (63.995)
Epoch: [22][4480/5005] Time 0.215 (0.225) Data 0.060 (0.080) Loss 2.5820 (2.8283) Prec@1 42.969 (38.083) Prec@5 67.578 (63.991)
Epoch: [22][4490/5005] Time 0.219 (0.225) Data 0.138 (0.080) Loss 2.8619 (2.8284) Prec@1 38.672 (38.081) Prec@5 61.719 (63.988)
Epoch: [22][4500/5005] Time 0.224 (0.225) Data 0.047 (0.080) Loss 2.7373 (2.8284) Prec@1 41.797 (38.080) Prec@5 65.625 (63.987)
Epoch: [22][4510/5005] Time 0.192 (0.225) Data 0.044 (0.080) Loss 2.6614 (2.8285) Prec@1 41.016 (38.078) Prec@5 67.969 (63.985)
Epoch: [22][4520/5005] Time 0.603 (0.226) Data 0.518 (0.080) Loss 2.8512 (2.8282) Prec@1 35.938 (38.080) Prec@5 65.625 (63.990)
Epoch: [22][4530/5005] Time 0.467 (0.226) Data 0.385 (0.080) Loss 2.6487 (2.8282) Prec@1 40.234 (38.082) Prec@5 70.312 (63.993)
Epoch: [22][4540/5005] Time 0.201 (0.226) Data 0.040 (0.080) Loss 2.9731 (2.8284) Prec@1 37.891 (38.081) Prec@5 62.891 (63.987)
Epoch: [22][4550/5005] Time 0.200 (0.225) Data 0.039 (0.080) Loss 2.8602 (2.8285) Prec@1 42.578 (38.080) Prec@5 62.891 (63.985)
Epoch: [22][4560/5005] Time 0.198 (0.225) Data 0.045 (0.080) Loss 2.7455 (2.8286) Prec@1 38.281 (38.080) Prec@5 67.969 (63.986)
Epoch: [22][4570/5005] Time 0.203 (0.225) Data 0.042 (0.080) Loss 2.9276 (2.8285) Prec@1 39.844 (38.081) Prec@5 62.500 (63.986)
Epoch: [22][4580/5005] Time 0.393 (0.225) Data 0.308 (0.080) Loss 2.9196 (2.8285) Prec@1 37.109 (38.082) Prec@5 62.891 (63.986)
Epoch: [22][4590/5005] Time 0.199 (0.225) Data 0.044 (0.080) Loss 2.7017 (2.8286) Prec@1 40.234 (38.078) Prec@5 66.797 (63.984)
Epoch: [22][4600/5005] Time 0.590 (0.226) Data 0.508 (0.080) Loss 2.5932 (2.8286) Prec@1 42.969 (38.077) Prec@5 68.359 (63.982)
Epoch: [22][4610/5005] Time 0.200 (0.225) Data 0.056 (0.080) Loss 2.6299 (2.8286) Prec@1 36.719 (38.078) Prec@5 67.188 (63.984)
Epoch: [22][4620/5005] Time 0.197 (0.226) Data 0.049 (0.080) Loss 2.7481 (2.8286) Prec@1 40.625 (38.080) Prec@5 66.406 (63.983)
Epoch: [22][4630/5005] Time 0.201 (0.226) Data 0.041 (0.080) Loss 2.5918 (2.8286) Prec@1 41.406 (38.082) Prec@5 68.750 (63.985)
Epoch: [22][4640/5005] Time 0.202 (0.226) Data 0.044 (0.080) Loss 2.8343 (2.8286) Prec@1 40.234 (38.081) Prec@5 64.453 (63.984)
Epoch: [22][4650/5005] Time 0.189 (0.225) Data 0.048 (0.080) Loss 2.7962 (2.8286) Prec@1 38.672 (38.081) Prec@5 65.234 (63.986)
Epoch: [22][4660/5005] Time 0.198 (0.225) Data 0.050 (0.080) Loss 3.0821 (2.8286) Prec@1 33.203 (38.081) Prec@5 58.594 (63.986)
Epoch: [22][4670/5005] Time 0.197 (0.226) Data 0.096 (0.080) Loss 2.7887 (2.8285) Prec@1 39.062 (38.084) Prec@5 64.062 (63.986)
Epoch: [22][4680/5005] Time 0.202 (0.226) Data 0.050 (0.080) Loss 2.7858 (2.8285) Prec@1 36.719 (38.082) Prec@5 64.453 (63.985)
Epoch: [22][4690/5005] Time 0.204 (0.226) Data 0.043 (0.080) Loss 2.8173 (2.8286) Prec@1 34.375 (38.078) Prec@5 63.672 (63.985)
Epoch: [22][4700/5005] Time 0.202 (0.226) Data 0.049 (0.080) Loss 2.6679 (2.8286) Prec@1 40.234 (38.080) Prec@5 69.531 (63.987)
Epoch: [22][4710/5005] Time 0.199 (0.226) Data 0.043 (0.080) Loss 2.8618 (2.8284) Prec@1 36.719 (38.080) Prec@5 61.719 (63.988)
Epoch: [22][4720/5005] Time 0.204 (0.226) Data 0.039 (0.080) Loss 2.6619 (2.8285) Prec@1 38.281 (38.079) Prec@5 67.969 (63.987)
Epoch: [22][4730/5005] Time 0.366 (0.226) Data 0.284 (0.080) Loss 2.8928 (2.8287) Prec@1 37.109 (38.075) Prec@5 62.891 (63.981)
Epoch: [22][4740/5005] Time 0.215 (0.226) Data 0.129 (0.080) Loss 2.7870 (2.8287) Prec@1 37.109 (38.079) Prec@5 66.016 (63.983)
Epoch: [22][4750/5005] Time 0.201 (0.226) Data 0.065 (0.080) Loss 2.7752 (2.8286) Prec@1 34.766 (38.078) Prec@5 66.406 (63.983)
Epoch: [22][4760/5005] Time 0.209 (0.226) Data 0.042 (0.080) Loss 3.0537 (2.8285) Prec@1 35.156 (38.080) Prec@5 62.109 (63.986)
Epoch: [22][4770/5005] Time 0.200 (0.225) Data 0.045 (0.080) Loss 2.7893 (2.8285) Prec@1 38.672 (38.081) Prec@5 65.625 (63.987)
Epoch: [22][4780/5005] Time 0.202 (0.225) Data 0.044 (0.080) Loss 2.8945 (2.8285) Prec@1 37.500 (38.082) Prec@5 63.672 (63.986)
Epoch: [22][4790/5005] Time 0.206 (0.226) Data 0.045 (0.080) Loss 3.0716 (2.8285) Prec@1 37.109 (38.081) Prec@5 57.422 (63.986)
Epoch: [22][4800/5005] Time 0.205 (0.226) Data 0.044 (0.080) Loss 2.9294 (2.8284) Prec@1 34.766 (38.081) Prec@5 63.672 (63.986)
Epoch: [22][4810/5005] Time 0.215 (0.226) Data 0.042 (0.080) Loss 3.0103 (2.8284) Prec@1 33.203 (38.080) Prec@5 59.375 (63.984)
Epoch: [22][4820/5005] Time 0.612 (0.226) Data 0.522 (0.080) Loss 3.1550 (2.8284) Prec@1 33.203 (38.084) Prec@5 59.766 (63.985)
Epoch: [22][4830/5005] Time 0.597 (0.226) Data 0.507 (0.080) Loss 2.9737 (2.8284) Prec@1 37.500 (38.083) Prec@5 58.984 (63.985)
Epoch: [22][4840/5005] Time 0.258 (0.226) Data 0.172 (0.080) Loss 2.6174 (2.8285) Prec@1 43.750 (38.079) Prec@5 67.969 (63.984)
Epoch: [22][4850/5005] Time 0.206 (0.226) Data 0.043 (0.080) Loss 3.0115 (2.8287) Prec@1 32.031 (38.076) Prec@5 61.328 (63.981)
Epoch: [22][4860/5005] Time 0.227 (0.226) Data 0.140 (0.080) Loss 2.9000 (2.8287) Prec@1 38.281 (38.073) Prec@5 61.719 (63.979)
Epoch: [22][4870/5005] Time 0.206 (0.226) Data 0.047 (0.080) Loss 2.7667 (2.8288) Prec@1 42.188 (38.075) Prec@5 63.672 (63.978)
Epoch: [22][4880/5005] Time 0.204 (0.226) Data 0.038 (0.080) Loss 2.7311 (2.8286) Prec@1 40.234 (38.079) Prec@5 63.672 (63.978)
Epoch: [22][4890/5005] Time 0.207 (0.226) Data 0.050 (0.080) Loss 2.9001 (2.8286) Prec@1 36.328 (38.077) Prec@5 60.938 (63.979)
Epoch: [22][4900/5005] Time 0.200 (0.226) Data 0.046 (0.080) Loss 2.5683 (2.8286) Prec@1 42.578 (38.079) Prec@5 68.359 (63.980)
Epoch: [22][4910/5005] Time 1.214 (0.226) Data 1.131 (0.081) Loss 2.8604 (2.8283) Prec@1 36.719 (38.082) Prec@5 64.453 (63.984)
Epoch: [22][4920/5005] Time 0.201 (0.226) Data 0.045 (0.080) Loss 2.6635 (2.8284) Prec@1 40.234 (38.082) Prec@5 62.500 (63.982)
Epoch: [22][4930/5005] Time 0.206 (0.226) Data 0.042 (0.080) Loss 2.9780 (2.8283) Prec@1 35.156 (38.080) Prec@5 61.328 (63.985)
Epoch: [22][4940/5005] Time 0.204 (0.226) Data 0.042 (0.080) Loss 2.7444 (2.8284) Prec@1 39.453 (38.080) Prec@5 66.016 (63.984)
Epoch: [22][4950/5005] Time 0.356 (0.226) Data 0.276 (0.080) Loss 2.6265 (2.8284) Prec@1 38.672 (38.079) Prec@5 67.188 (63.983)
Epoch: [22][4960/5005] Time 0.201 (0.226) Data 0.066 (0.080) Loss 2.9389 (2.8284) Prec@1 36.328 (38.080) Prec@5 67.188 (63.984)
Epoch: [22][4970/5005] Time 0.198 (0.226) Data 0.047 (0.080) Loss 2.9371 (2.8283) Prec@1 34.375 (38.078) Prec@5 60.938 (63.985)
Epoch: [22][4980/5005] Time 0.214 (0.226) Data 0.046 (0.080) Loss 2.9285 (2.8282) Prec@1 37.891 (38.081) Prec@5 61.719 (63.988)
Epoch: [22][4990/5005] Time 0.205 (0.226) Data 0.030 (0.080) Loss 2.9624 (2.8282) Prec@1 35.938 (38.083) Prec@5 64.062 (63.987)
Epoch: [22][5000/5005] Time 0.194 (0.226) Data 0.034 (0.080) Loss 2.8908 (2.8282) Prec@1 34.766 (38.083) Prec@5 59.375 (63.986)
Test: [0/196] Time 2.333 (2.333) Loss 2.7128 (2.7128) Prec@1 41.016 (41.016) Prec@5 64.844 (64.844)
Test: [10/196] Time 0.049 (0.420) Loss 2.8035 (2.8641) Prec@1 39.453 (38.104) Prec@5 64.453 (64.347)
Test: [20/196] Time 0.042 (0.304) Loss 2.7573 (2.8857) Prec@1 42.188 (37.481) Prec@5 65.625 (63.709)
Test: [30/196] Time 0.043 (0.276) Loss 2.7285 (2.9052) Prec@1 38.672 (37.135) Prec@5 63.281 (63.029)
Test: [40/196] Time 0.683 (0.267) Loss 2.6379 (2.9095) Prec@1 41.016 (37.281) Prec@5 67.188 (62.719)
Test: [50/196] Time 0.347 (0.267) Loss 2.9635 (2.9120) Prec@1 36.328 (37.209) Prec@5 67.188 (62.638)
Test: [60/196] Time 0.044 (0.254) Loss 2.7530 (2.8948) Prec@1 40.234 (37.526) Prec@5 62.891 (63.057)
Test: [70/196] Time 0.042 (0.243) Loss 2.8436 (2.8855) Prec@1 37.500 (37.483) Prec@5 63.672 (63.259)
Test: [80/196] Time 0.980 (0.253) Loss 2.8511 (2.8924) Prec@1 37.891 (37.476) Prec@5 66.016 (63.064)
Test: [90/196] Time 0.205 (0.244) Loss 2.9406 (2.8924) Prec@1 37.891 (37.431) Prec@5 62.500 (63.079)
Test: [100/196] Time 0.048 (0.240) Loss 2.9619 (2.8915) Prec@1 39.062 (37.543) Prec@5 59.375 (63.076)
Test: [110/196] Time 0.042 (0.238) Loss 3.1166 (2.8963) Prec@1 34.375 (37.556) Prec@5 58.594 (62.993)
Test: [120/196] Time 0.734 (0.239) Loss 2.7330 (2.8927) Prec@1 37.500 (37.568) Prec@5 66.406 (63.088)
Test: [130/196] Time 0.158 (0.237) Loss 2.6351 (2.8893) Prec@1 37.500 (37.607) Prec@5 66.406 (63.108)
Test: [140/196] Time 0.043 (0.238) Loss 2.6010 (2.8906) Prec@1 45.312 (37.636) Prec@5 67.188 (63.079)
Test: [150/196] Time 0.116 (0.234) Loss 2.5835 (2.8879) Prec@1 41.406 (37.663) Prec@5 69.922 (63.118)
Test: [160/196] Time 0.042 (0.232) Loss 2.8086 (2.8857) Prec@1 42.578 (37.672) Prec@5 65.234 (63.119)
Test: [170/196] Time 0.928 (0.236) Loss 2.6811 (2.8877) Prec@1 40.625 (37.646) Prec@5 64.844 (63.060)
Test: [180/196] Time 0.042 (0.235) Loss 3.1197 (2.8920) Prec@1 32.422 (37.558) Prec@5 59.766 (62.960)
Test: [190/196] Time 0.047 (0.233) Loss 3.1783 (2.8951) Prec@1 33.594 (37.516) Prec@5 58.984 (62.884)
* Prec@1 37.510 Prec@5 62.888
Learning rate: 0.001
Epoch: [23][0/5005] Time 2.409 (2.409) Data 2.282 (2.282) Loss 2.6346 (2.6346) Prec@1 42.578 (42.578) Prec@5 66.406 (66.406)
Epoch: [23][10/5005] Time 0.202 (0.400) Data 0.049 (0.254) Loss 2.6713 (2.7564) Prec@1 39.844 (38.530) Prec@5 65.234 (64.986)
Epoch: [23][20/5005] Time 0.206 (0.305) Data 0.046 (0.155) Loss 2.9580 (2.8068) Prec@1 34.375 (37.686) Prec@5 63.281 (64.416)
Epoch: [23][30/5005] Time 0.195 (0.271) Data 0.043 (0.120) Loss 2.7336 (2.7885) Prec@1 37.109 (38.407) Prec@5 62.500 (64.415)
Epoch: [23][40/5005] Time 0.201 (0.255) Data 0.044 (0.101) Loss 2.8375 (2.8039) Prec@1 38.672 (38.291) Prec@5 64.453 (64.186)
Epoch: [23][50/5005] Time 0.200 (0.244) Data 0.040 (0.090) Loss 2.6483 (2.8031) Prec@1 38.672 (38.404) Prec@5 70.703 (64.476)
Epoch: [23][60/5005] Time 0.197 (0.237) Data 0.047 (0.082) Loss 2.7936 (2.8048) Prec@1 41.406 (38.505) Prec@5 64.453 (64.344)
Epoch: [23][70/5005] Time 0.203 (0.232) Data 0.042 (0.078) Loss 2.7535 (2.8136) Prec@1 41.406 (38.545) Prec@5 65.234 (64.195)
Epoch: [23][80/5005] Time 0.196 (0.229) Data 0.048 (0.074) Loss 2.6323 (2.8103) Prec@1 45.703 (38.522) Prec@5 70.703 (64.236)
Epoch: [23][90/5005] Time 0.200 (0.226) Data 0.040 (0.071) Loss 2.8054 (2.8105) Prec@1 39.453 (38.612) Prec@5 65.625 (64.221)
Epoch: [23][100/5005] Time 0.199 (0.224) Data 0.043 (0.068) Loss 2.6266 (2.8120) Prec@1 37.500 (38.506) Prec@5 67.578 (64.244)
Epoch: [23][110/5005] Time 0.202 (0.224) Data 0.047 (0.066) Loss 2.7592 (2.8148) Prec@1 41.797 (38.566) Prec@5 66.406 (64.302)
Epoch: [23][120/5005] Time 0.197 (0.222) Data 0.060 (0.065) Loss 2.8272 (2.8176) Prec@1 35.547 (38.601) Prec@5 62.109 (64.234)
Epoch: [23][130/5005] Time 0.200 (0.220) Data 0.052 (0.065) Loss 2.9276 (2.8181) Prec@1 35.938 (38.579) Prec@5 62.109 (64.229)
Epoch: [23][140/5005] Time 0.203 (0.222) Data 0.044 (0.064) Loss 2.7842 (2.8176) Prec@1 38.281 (38.497) Prec@5 64.062 (64.195)
Epoch: [23][150/5005] Time 0.445 (0.222) Data 0.355 (0.067) Loss 3.0732 (2.8209) Prec@1 34.375 (38.449) Prec@5 60.156 (64.138)
Epoch: [23][160/5005] Time 0.204 (0.224) Data 0.045 (0.069) Loss 2.7651 (2.8233) Prec@1 37.500 (38.420) Prec@5 64.844 (64.106)
Epoch: [23][170/5005] Time 0.204 (0.225) Data 0.044 (0.071) Loss 2.9023 (2.8245) Prec@1 39.062 (38.361) Prec@5 64.062 (64.092)
Epoch: [23][180/5005] Time 0.221 (0.225) Data 0.041 (0.071) Loss 2.9174 (2.8259) Prec@1 39.453 (38.355) Prec@5 59.766 (64.062)
Epoch: [23][190/5005] Time 0.437 (0.226) Data 0.351 (0.073) Loss 3.0201 (2.8308) Prec@1 36.328 (38.275) Prec@5 61.328 (63.915)
Epoch: [23][200/5005] Time 0.354 (0.227) Data 0.259 (0.074) Loss 2.9731 (2.8329) Prec@1 33.594 (38.219) Prec@5 59.766 (63.849)
Epoch: [23][210/5005] Time 0.209 (0.227) Data 0.054 (0.074) Loss 2.6635 (2.8314) Prec@1 41.797 (38.235) Prec@5 67.578 (63.911)
Epoch: [23][220/5005] Time 0.209 (0.228) Data 0.041 (0.076) Loss 2.7984 (2.8317) Prec@1 40.625 (38.219) Prec@5 66.406 (63.918)
Epoch: [23][230/5005] Time 0.208 (0.228) Data 0.049 (0.076) Loss 2.8179 (2.8324) Prec@1 38.281 (38.205) Prec@5 65.625 (63.914)
Epoch: [23][240/5005] Time 0.218 (0.228) Data 0.063 (0.077) Loss 2.7601 (2.8308) Prec@1 40.234 (38.213) Prec@5 63.281 (63.907)
Epoch: [23][250/5005] Time 0.209 (0.228) Data 0.045 (0.077) Loss 2.9870 (2.8304) Prec@1 34.766 (38.183) Prec@5 62.109 (63.904)
Epoch: [23][260/5005] Time 0.206 (0.228) Data 0.039 (0.077) Loss 2.5755 (2.8290) Prec@1 40.625 (38.202) Prec@5 68.750 (63.922)
Epoch: [23][270/5005] Time 0.213 (0.230) Data 0.041 (0.079) Loss 2.8874 (2.8282) Prec@1 36.719 (38.169) Prec@5 62.500 (63.933)
Epoch: [23][280/5005] Time 0.213 (0.230) Data 0.051 (0.079) Loss 3.1717 (2.8307) Prec@1 34.766 (38.121) Prec@5 57.812 (63.879)
Epoch: [23][290/5005] Time 0.199 (0.230) Data 0.063 (0.080) Loss 2.6953 (2.8319) Prec@1 39.453 (38.115) Prec@5 64.844 (63.845)
Epoch: [23][300/5005] Time 0.387 (0.231) Data 0.301 (0.082) Loss 2.6611 (2.8312) Prec@1 39.062 (38.145) Prec@5 64.453 (63.856)
Epoch: [23][310/5005] Time 0.205 (0.231) Data 0.048 (0.082) Loss 2.7789 (2.8284) Prec@1 37.109 (38.207) Prec@5 62.891 (63.917)
Epoch: [23][320/5005] Time 0.551 (0.232) Data 0.463 (0.084) Loss 3.1451 (2.8294) Prec@1 32.031 (38.200) Prec@5 59.375 (63.931)
Epoch: [23][330/5005] Time 0.206 (0.231) Data 0.045 (0.084) Loss 2.5072 (2.8284) Prec@1 42.188 (38.186) Prec@5 70.312 (63.922)
Epoch: [23][340/5005] Time 0.326 (0.232) Data 0.243 (0.085) Loss 2.9304 (2.8319) Prec@1 37.500 (38.127) Prec@5 63.281 (63.853)
Epoch: [23][350/5005] Time 0.205 (0.232) Data 0.116 (0.085) Loss 2.9095 (2.8307) Prec@1 37.500 (38.130) Prec@5 60.547 (63.833)
Epoch: [23][360/5005] Time 0.210 (0.231) Data 0.041 (0.084) Loss 2.8311 (2.8302) Prec@1 37.891 (38.164) Prec@5 62.891 (63.831)
Epoch: [23][370/5005] Time 0.217 (0.231) Data 0.043 (0.083) Loss 2.9091 (2.8290) Prec@1 37.891 (38.166) Prec@5 61.719 (63.852)
Epoch: [23][380/5005] Time 0.209 (0.230) Data 0.042 (0.082) Loss 2.8250 (2.8288) Prec@1 39.062 (38.137) Prec@5 61.719 (63.841)
Epoch: [23][390/5005] Time 0.212 (0.230) Data 0.038 (0.081) Loss 2.8131 (2.8288) Prec@1 38.672 (38.143) Prec@5 67.578 (63.860)
Epoch: [23][400/5005] Time 0.220 (0.230) Data 0.040 (0.080) Loss 2.5570 (2.8272) Prec@1 44.922 (38.155) Prec@5 70.703 (63.892)
Epoch: [23][410/5005] Time 0.207 (0.229) Data 0.041 (0.079) Loss 2.6711 (2.8264) Prec@1 38.281 (38.143) Prec@5 67.578 (63.907)
Epoch: [23][420/5005] Time 0.213 (0.229) Data 0.042 (0.078) Loss 2.6712 (2.8253) Prec@1 41.406 (38.161) Prec@5 66.797 (63.932)
Epoch: [23][430/5005] Time 0.210 (0.229) Data 0.042 (0.077) Loss 2.7715 (2.8254) Prec@1 42.188 (38.149) Prec@5 67.578 (63.923)
Epoch: [23][440/5005] Time 0.214 (0.228) Data 0.045 (0.076) Loss 2.6444 (2.8250) Prec@1 47.656 (38.175) Prec@5 68.359 (63.924)
Epoch: [23][450/5005] Time 0.206 (0.228) Data 0.051 (0.076) Loss 2.6538 (2.8256) Prec@1 36.328 (38.155) Prec@5 64.844 (63.917)
Epoch: [23][460/5005] Time 0.207 (0.228) Data 0.046 (0.075) Loss 2.9609 (2.8266) Prec@1 35.156 (38.129) Prec@5 58.984 (63.896)
Epoch: [23][470/5005] Time 0.207 (0.227) Data 0.046 (0.075) Loss 2.7932 (2.8278) Prec@1 36.328 (38.122) Prec@5 63.281 (63.868)
Epoch: [23][480/5005] Time 0.221 (0.227) Data 0.048 (0.074) Loss 2.8105 (2.8272) Prec@1 36.719 (38.136) Prec@5 61.328 (63.877)
Epoch: [23][490/5005] Time 0.215 (0.227) Data 0.047 (0.074) Loss 2.7869 (2.8277) Prec@1 40.234 (38.103) Prec@5 64.062 (63.857)
Epoch: [23][500/5005] Time 0.212 (0.227) Data 0.042 (0.073) Loss 2.8386 (2.8296) Prec@1 39.844 (38.093) Prec@5 61.719 (63.826)
Epoch: [23][510/5005] Time 0.211 (0.227) Data 0.042 (0.073) Loss 3.0227 (2.8299) Prec@1 35.156 (38.095) Prec@5 58.203 (63.826)
Epoch: [23][520/5005] Time 0.210 (0.226) Data 0.049 (0.072) Loss 2.7767 (2.8294) Prec@1 36.719 (38.094) Prec@5 65.234 (63.854)
Epoch: [23][530/5005] Time 0.221 (0.226) Data 0.043 (0.072) Loss 2.7463 (2.8290) Prec@1 40.234 (38.079) Prec@5 64.062 (63.879)
Epoch: [23][540/5005] Time 0.208 (0.226) Data 0.039 (0.071) Loss 2.9537 (2.8304) Prec@1 35.156 (38.058) Prec@5 60.547 (63.841)
Epoch: [23][550/5005] Time 0.205 (0.225) Data 0.042 (0.071) Loss 2.6415 (2.8295) Prec@1 42.188 (38.071) Prec@5 68.359 (63.853)
Epoch: [23][560/5005] Time 0.218 (0.225) Data 0.045 (0.070) Loss 2.7209 (2.8290) Prec@1 39.844 (38.093) Prec@5 67.578 (63.879)
Epoch: [23][570/5005] Time 0.208 (0.225) Data 0.042 (0.070) Loss 2.8644 (2.8294) Prec@1 39.844 (38.086) Prec@5 63.672 (63.876)
Epoch: [23][580/5005] Time 0.222 (0.225) Data 0.045 (0.069) Loss 2.7587 (2.8281) Prec@1 37.500 (38.093) Prec@5 66.797 (63.908)
Epoch: [23][590/5005] Time 0.209 (0.225) Data 0.039 (0.069) Loss 3.0442 (2.8282) Prec@1 33.984 (38.101) Prec@5 59.766 (63.900)
Epoch: [23][600/5005] Time 0.213 (0.224) Data 0.045 (0.069) Loss 2.7593 (2.8288) Prec@1 39.062 (38.096) Prec@5 67.578 (63.884)
Epoch: [23][610/5005] Time 0.205 (0.224) Data 0.043 (0.068) Loss 2.7116 (2.8288) Prec@1 37.500 (38.084) Prec@5 65.234 (63.882)
Epoch: [23][620/5005] Time 0.214 (0.224) Data 0.042 (0.068) Loss 2.8250 (2.8282) Prec@1 39.062 (38.106) Prec@5 64.844 (63.908)
Epoch: [23][630/5005] Time 0.213 (0.224) Data 0.045 (0.067) Loss 3.0555 (2.8283) Prec@1 33.984 (38.117) Prec@5 61.328 (63.899)
Epoch: [23][640/5005] Time 0.215 (0.224) Data 0.044 (0.067) Loss 2.7196 (2.8282) Prec@1 38.672 (38.125) Prec@5 65.234 (63.898)
Epoch: [23][650/5005] Time 0.219 (0.224) Data 0.042 (0.067) Loss 3.0328 (2.8289) Prec@1 34.375 (38.108) Prec@5 60.156 (63.894)
Epoch: [23][660/5005] Time 0.215 (0.223) Data 0.041 (0.066) Loss 3.0459 (2.8282) Prec@1 36.328 (38.128) Prec@5 58.984 (63.914)
Epoch: [23][670/5005] Time 0.214 (0.223) Data 0.043 (0.066) Loss 3.0875 (2.8280) Prec@1 32.031 (38.127) Prec@5 61.328 (63.914)
Epoch: [23][680/5005] Time 0.216 (0.223) Data 0.043 (0.066) Loss 2.8999 (2.8281) Prec@1 37.891 (38.121) Prec@5 64.062 (63.914)
Epoch: [23][690/5005] Time 0.218 (0.223) Data 0.044 (0.065) Loss 2.5892 (2.8276) Prec@1 44.531 (38.147) Prec@5 68.359 (63.927)
Epoch: [23][700/5005] Time 0.213 (0.223) Data 0.042 (0.065) Loss 2.8888 (2.8275) Prec@1 37.500 (38.132) Prec@5 60.547 (63.940)
Epoch: [23][710/5005] Time 0.208 (0.223) Data 0.047 (0.065) Loss 2.6310 (2.8271) Prec@1 41.797 (38.150) Prec@5 65.234 (63.939)
Epoch: [23][720/5005] Time 0.212 (0.223) Data 0.039 (0.064) Loss 2.7046 (2.8262) Prec@1 37.500 (38.161) Prec@5 64.844 (63.945)
Epoch: [23][730/5005] Time 0.215 (0.222) Data 0.042 (0.064) Loss 3.1062 (2.8269) Prec@1 36.719 (38.166) Prec@5 58.594 (63.932)
Epoch: [23][740/5005] Time 0.208 (0.222) Data 0.051 (0.064) Loss 2.9020 (2.8272) Prec@1 37.500 (38.174) Prec@5 60.938 (63.923)
Epoch: [23][750/5005] Time 0.215 (0.222) Data 0.045 (0.064) Loss 2.6745 (2.8264) Prec@1 39.062 (38.186) Prec@5 64.844 (63.942)
Epoch: [23][760/5005] Time 0.195 (0.222) Data 0.047 (0.063) Loss 3.0125 (2.8261) Prec@1 35.547 (38.192) Prec@5 60.938 (63.940)
Epoch: [23][770/5005] Time 0.200 (0.222) Data 0.051 (0.063) Loss 2.8369 (2.8250) Prec@1 36.719 (38.205) Prec@5 61.719 (63.975)
Epoch: [23][780/5005] Time 0.213 (0.222) Data 0.049 (0.063) Loss 2.8101 (2.8246) Prec@1 37.500 (38.209) Prec@5 63.672 (63.978)
Epoch: [23][790/5005] Time 0.201 (0.222) Data 0.044 (0.063) Loss 2.8157 (2.8243) Prec@1 38.672 (38.217) Prec@5 64.453 (63.982)
Epoch: [23][800/5005] Time 0.213 (0.222) Data 0.046 (0.063) Loss 2.6906 (2.8235) Prec@1 39.062 (38.228) Prec@5 68.359 (63.994)
Epoch: [23][810/5005] Time 0.227 (0.221) Data 0.146 (0.063) Loss 2.9813 (2.8237) Prec@1 33.203 (38.221) Prec@5 60.938 (63.992)
Epoch: [23][820/5005] Time 0.260 (0.222) Data 0.176 (0.063) Loss 2.9584 (2.8238) Prec@1 36.719 (38.222) Prec@5 60.938 (63.989)
Epoch: [23][830/5005] Time 0.206 (0.222) Data 0.042 (0.064) Loss 2.7476 (2.8238) Prec@1 36.328 (38.225) Prec@5 67.578 (63.981)
Epoch: [23][840/5005] Time 0.209 (0.222) Data 0.050 (0.064) Loss 2.7695 (2.8238) Prec@1 40.234 (38.232) Prec@5 62.500 (63.989)
Epoch: [23][850/5005] Time 0.204 (0.222) Data 0.082 (0.064) Loss 2.9819 (2.8234) Prec@1 37.891 (38.251) Prec@5 62.109 (63.995)
Epoch: [23][860/5005] Time 0.202 (0.222) Data 0.045 (0.064) Loss 2.7685 (2.8233) Prec@1 38.672 (38.260) Prec@5 64.453 (63.998)
Epoch: [23][870/5005] Time 0.201 (0.222) Data 0.046 (0.065) Loss 2.8249 (2.8222) Prec@1 38.281 (38.279) Prec@5 64.062 (64.009)
Epoch: [23][880/5005] Time 0.213 (0.222) Data 0.043 (0.065) Loss 2.7917 (2.8224) Prec@1 37.109 (38.275) Prec@5 62.891 (64.000)
Epoch: [23][890/5005] Time 0.214 (0.222) Data 0.040 (0.065) Loss 3.0530 (2.8222) Prec@1 33.594 (38.273) Prec@5 62.109 (63.995)
Epoch: [23][900/5005] Time 0.205 (0.222) Data 0.041 (0.065) Loss 2.7148 (2.8218) Prec@1 35.938 (38.267) Prec@5 66.406 (64.007)
Epoch: [23][910/5005] Time 0.210 (0.222) Data 0.043 (0.065) Loss 2.8011 (2.8216) Prec@1 37.891 (38.273) Prec@5 65.625 (64.005)
Epoch: [23][920/5005] Time 0.205 (0.223) Data 0.044 (0.066) Loss 2.7548 (2.8213) Prec@1 37.891 (38.282) Prec@5 66.406 (64.013)
Epoch: [23][930/5005] Time 0.241 (0.223) Data 0.158 (0.066) Loss 2.8257 (2.8207) Prec@1 40.234 (38.295) Prec@5 61.328 (64.011)
Epoch: [23][940/5005] Time 0.202 (0.223) Data 0.049 (0.066) Loss 2.6278 (2.8212) Prec@1 40.234 (38.291) Prec@5 67.188 (64.000)
Epoch: [23][950/5005] Time 0.208 (0.223) Data 0.045 (0.067) Loss 2.9564 (2.8221) Prec@1 36.328 (38.282) Prec@5 65.625 (63.994)
Epoch: [23][960/5005] Time 0.604 (0.224) Data 0.524 (0.069) Loss 3.0066 (2.8224) Prec@1 36.719 (38.280) Prec@5 61.719 (63.997)
Epoch: [23][970/5005] Time 0.198 (0.225) Data 0.048 (0.069) Loss 2.6354 (2.8224) Prec@1 44.141 (38.287) Prec@5 67.969 (64.003)
Epoch: [23][980/5005] Time 0.194 (0.225) Data 0.072 (0.069) Loss 2.7925 (2.8218) Prec@1 38.672 (38.296) Prec@5 62.500 (64.004)
Epoch: [23][990/5005] Time 0.205 (0.225) Data 0.044 (0.069) Loss 2.8606 (2.8226) Prec@1 38.281 (38.280) Prec@5 65.625 (63.979)
Epoch: [23][1000/5005] Time 0.200 (0.224) Data 0.042 (0.069) Loss 2.8908 (2.8226) Prec@1 39.453 (38.275) Prec@5 64.062 (63.975)
Epoch: [23][1010/5005] Time 0.210 (0.224) Data 0.041 (0.068) Loss 2.8151 (2.8225) Prec@1 36.719 (38.264) Prec@5 64.453 (63.966)
Epoch: [23][1020/5005] Time 0.217 (0.224) Data 0.041 (0.068) Loss 2.6430 (2.8227) Prec@1 41.016 (38.275) Prec@5 68.750 (63.965)
Epoch: [23][1030/5005] Time 0.210 (0.224) Data 0.047 (0.068) Loss 2.7862 (2.8219) Prec@1 41.797 (38.295) Prec@5 67.188 (63.983)
Epoch: [23][1040/5005] Time 0.214 (0.224) Data 0.044 (0.068) Loss 2.9711 (2.8220) Prec@1 33.594 (38.283) Prec@5 62.891 (63.991)
Epoch: [23][1050/5005] Time 0.218 (0.224) Data 0.041 (0.068) Loss 3.0150 (2.8229) Prec@1 35.156 (38.262) Prec@5 60.938 (63.974)
Epoch: [23][1060/5005] Time 0.206 (0.224) Data 0.045 (0.067) Loss 2.8893 (2.8235) Prec@1 36.328 (38.243) Prec@5 63.672 (63.969)
Epoch: [23][1070/5005] Time 0.207 (0.224) Data 0.052 (0.067) Loss 2.8027 (2.8235) Prec@1 36.719 (38.249) Prec@5 63.672 (63.965)
Epoch: [23][1080/5005] Time 0.211 (0.223) Data 0.042 (0.067) Loss 2.8958 (2.8236) Prec@1 41.016 (38.252) Prec@5 62.891 (63.960)
Epoch: [23][1090/5005] Time 0.210 (0.223) Data 0.043 (0.067) Loss 2.7319 (2.8235) Prec@1 41.016 (38.258) Prec@5 67.969 (63.971)
Epoch: [23][1100/5005] Time 0.204 (0.223) Data 0.042 (0.067) Loss 2.6139 (2.8227) Prec@1 42.188 (38.273) Prec@5 66.797 (63.979)
Epoch: [23][1110/5005] Time 0.206 (0.223) Data 0.049 (0.067) Loss 2.8087 (2.8226) Prec@1 35.547 (38.282) Prec@5 61.719 (63.980)
Epoch: [23][1120/5005] Time 0.223 (0.223) Data 0.047 (0.066) Loss 2.7251 (2.8216) Prec@1 41.406 (38.290) Prec@5 66.016 (63.988)
Epoch: [23][1130/5005] Time 0.211 (0.223) Data 0.046 (0.066) Loss 2.8606 (2.8223) Prec@1 34.375 (38.269) Prec@5 66.016 (63.977)
Epoch: [23][1140/5005] Time 0.211 (0.223) Data 0.056 (0.066) Loss 2.8146 (2.8220) Prec@1 37.109 (38.271) Prec@5 62.891 (63.978)
Epoch: [23][1150/5005] Time 0.207 (0.223) Data 0.040 (0.066) Loss 2.8246 (2.8216) Prec@1 39.453 (38.278) Prec@5 61.719 (63.985)
Epoch: [23][1160/5005] Time 0.206 (0.222) Data 0.048 (0.066) Loss 2.9253 (2.8216) Prec@1 40.234 (38.279) Prec@5 62.109 (63.982)
Epoch: [23][1170/5005] Time 0.209 (0.222) Data 0.045 (0.066) Loss 2.8092 (2.8212) Prec@1 41.406 (38.284) Prec@5 66.406 (63.989)
Epoch: [23][1180/5005] Time 0.191 (0.222) Data 0.052 (0.066) Loss 2.8369 (2.8211) Prec@1 40.625 (38.287) Prec@5 64.062 (63.987)
Epoch: [23][1190/5005] Time 0.197 (0.222) Data 0.061 (0.066) Loss 2.5215 (2.8208) Prec@1 44.141 (38.294) Prec@5 68.750 (63.993)
Epoch: [23][1200/5005] Time 0.209 (0.222) Data 0.045 (0.066) Loss 2.9885 (2.8210) Prec@1 36.328 (38.299) Prec@5 61.719 (63.985)
Epoch: [23][1210/5005] Time 0.207 (0.222) Data 0.054 (0.066) Loss 2.7332 (2.8214) Prec@1 41.406 (38.292) Prec@5 65.234 (63.980)
Epoch: [23][1220/5005] Time 0.393 (0.222) Data 0.309 (0.066) Loss 2.8150 (2.8216) Prec@1 37.891 (38.290) Prec@5 65.234 (63.983)
Epoch: [23][1230/5005] Time 0.209 (0.222) Data 0.044 (0.066) Loss 2.9394 (2.8219) Prec@1 38.281 (38.275) Prec@5 63.281 (63.975)
Epoch: [23][1240/5005] Time 0.214 (0.222) Data 0.136 (0.066) Loss 2.7639 (2.8220) Prec@1 44.531 (38.277) Prec@5 64.453 (63.968)
Epoch: [23][1250/5005] Time 0.203 (0.222) Data 0.048 (0.066) Loss 3.0938 (2.8227) Prec@1 37.500 (38.271) Prec@5 59.375 (63.953)
Epoch: [23][1260/5005] Time 0.205 (0.222) Data 0.042 (0.066) Loss 2.4926 (2.8222) Prec@1 42.969 (38.277) Prec@5 69.141 (63.957)
Epoch: [23][1270/5005] Time 0.342 (0.222) Data 0.258 (0.067) Loss 2.9812 (2.8226) Prec@1 35.156 (38.270) Prec@5 62.891 (63.947)
Epoch: [23][1280/5005] Time 0.211 (0.223) Data 0.041 (0.067) Loss 2.7549 (2.8232) Prec@1 40.625 (38.269) Prec@5 64.844 (63.935)
Epoch: [23][1290/5005] Time 0.220 (0.222) Data 0.042 (0.067) Loss 2.5739 (2.8227) Prec@1 43.750 (38.274) Prec@5 68.359 (63.945)
Epoch: [23][1300/5005] Time 0.204 (0.222) Data 0.040 (0.067) Loss 2.7710 (2.8225) Prec@1 39.844 (38.281) Prec@5 61.719 (63.953)
Epoch: [23][1310/5005] Time 0.211 (0.222) Data 0.046 (0.067) Loss 2.8651 (2.8224) Prec@1 39.844 (38.275) Prec@5 62.891 (63.953)
Epoch: [23][1320/5005] Time 0.206 (0.222) Data 0.043 (0.067) Loss 2.9416 (2.8228) Prec@1 38.281 (38.275) Prec@5 61.328 (63.947)
Epoch: [23][1330/5005] Time 0.208 (0.222) Data 0.043 (0.067) Loss 2.9067 (2.8231) Prec@1 35.938 (38.269) Prec@5 64.062 (63.945)
Epoch: [23][1340/5005] Time 0.217 (0.222) Data 0.041 (0.067) Loss 2.8325 (2.8231) Prec@1 37.109 (38.268) Prec@5 65.234 (63.944)
Epoch: [23][1350/5005] Time 0.205 (0.222) Data 0.048 (0.067) Loss 3.1391 (2.8235) Prec@1 39.453 (38.257) Prec@5 60.938 (63.934)
Epoch: [23][1360/5005] Time 0.196 (0.222) Data 0.064 (0.067) Loss 2.7106 (2.8232) Prec@1 39.844 (38.265) Prec@5 64.453 (63.939)
Epoch: [23][1370/5005] Time 0.202 (0.222) Data 0.044 (0.067) Loss 3.0353 (2.8230) Prec@1 34.375 (38.267) Prec@5 58.203 (63.942)
Epoch: [23][1380/5005] Time 0.204 (0.222) Data 0.047 (0.067) Loss 2.8244 (2.8226) Prec@1 39.062 (38.276) Prec@5 64.453 (63.944)
Epoch: [23][1390/5005] Time 0.204 (0.222) Data 0.063 (0.067) Loss 2.7293 (2.8224) Prec@1 39.844 (38.278) Prec@5 67.188 (63.952)
Epoch: [23][1400/5005] Time 0.239 (0.222) Data 0.151 (0.067) Loss 2.7971 (2.8218) Prec@1 39.844 (38.293) Prec@5 62.109 (63.963)
Epoch: [23][1410/5005] Time 0.199 (0.222) Data 0.054 (0.067) Loss 2.7202 (2.8215) Prec@1 38.672 (38.296) Prec@5 66.016 (63.973)
Epoch: [23][1420/5005] Time 0.204 (0.222) Data 0.042 (0.067) Loss 3.1887 (2.8215) Prec@1 32.422 (38.294) Prec@5 57.812 (63.972)
Epoch: [23][1430/5005] Time 0.207 (0.222) Data 0.043 (0.068) Loss 2.6251 (2.8213) Prec@1 43.359 (38.301) Prec@5 69.141 (63.977)
Epoch: [23][1440/5005] Time 0.213 (0.223) Data 0.051 (0.068) Loss 2.4817 (2.8211) Prec@1 45.312 (38.308) Prec@5 69.922 (63.982)
Epoch: [23][1450/5005] Time 0.213 (0.223) Data 0.047 (0.068) Loss 2.7146 (2.8208) Prec@1 41.016 (38.311) Prec@5 67.188 (63.984)
Epoch: [23][1460/5005] Time 0.215 (0.223) Data 0.042 (0.068) Loss 2.8709 (2.8207) Prec@1 37.891 (38.318) Prec@5 62.500 (63.988)
Epoch: [23][1470/5005] Time 0.196 (0.222) Data 0.102 (0.068) Loss 2.8898 (2.8207) Prec@1 37.891 (38.321) Prec@5 62.500 (63.988)
Epoch: [23][1480/5005] Time 0.206 (0.222) Data 0.046 (0.068) Loss 2.6958 (2.8208) Prec@1 39.453 (38.322) Prec@5 67.578 (63.990)
Epoch: [23][1490/5005] Time 0.214 (0.222) Data 0.047 (0.068) Loss 3.0306 (2.8207) Prec@1 33.984 (38.317) Prec@5 58.203 (63.994)
Epoch: [23][1500/5005] Time 0.238 (0.222) Data 0.154 (0.068) Loss 2.9210 (2.8208) Prec@1 34.375 (38.309) Prec@5 61.328 (63.995)
Epoch: [23][1510/5005] Time 0.209 (0.223) Data 0.043 (0.068) Loss 2.7113 (2.8207) Prec@1 38.281 (38.310) Prec@5 65.625 (63.998)
Epoch: [23][1520/5005] Time 0.212 (0.222) Data 0.043 (0.068) Loss 2.8540 (2.8205) Prec@1 38.672 (38.317) Prec@5 65.234 (63.998)
Epoch: [23][1530/5005] Time 0.196 (0.222) Data 0.048 (0.068) Loss 2.8891 (2.8207) Prec@1 37.500 (38.323) Prec@5 62.500 (63.991)
Epoch: [23][1540/5005] Time 0.208 (0.222) Data 0.050 (0.068) Loss 2.7647 (2.8207) Prec@1 38.672 (38.319) Prec@5 63.672 (63.993)
Epoch: [23][1550/5005] Time 0.203 (0.222) Data 0.039 (0.068) Loss 2.7415 (2.8203) Prec@1 42.969 (38.336) Prec@5 66.016 (64.002)
Epoch: [23][1560/5005] Time 0.202 (0.222) Data 0.041 (0.068) Loss 2.6146 (2.8205) Prec@1 43.750 (38.337) Prec@5 63.281 (64.003)
Epoch: [23][1570/5005] Time 0.455 (0.222) Data 0.372 (0.069) Loss 2.6678 (2.8203) Prec@1 42.969 (38.345) Prec@5 66.406 (64.009)
Epoch: [23][1580/5005] Time 0.201 (0.223) Data 0.042 (0.069) Loss 2.7202 (2.8207) Prec@1 37.500 (38.330) Prec@5 67.578 (64.010)
Epoch: [23][1590/5005] Time 0.201 (0.223) Data 0.046 (0.069) Loss 2.7683 (2.8207) Prec@1 37.891 (38.324) Prec@5 64.844 (64.009)
Epoch: [23][1600/5005] Time 0.210 (0.222) Data 0.040 (0.069) Loss 2.9705 (2.8210) Prec@1 37.109 (38.323) Prec@5 61.719 (64.008)
Epoch: [23][1610/5005] Time 0.199 (0.222) Data 0.044 (0.069) Loss 2.9274 (2.8211) Prec@1 38.672 (38.326) Prec@5 61.719 (64.014)
Epoch: [23][1620/5005] Time 0.194 (0.223) Data 0.047 (0.069) Loss 3.1102 (2.8211) Prec@1 34.375 (38.318) Prec@5 60.156 (64.012)
Epoch: [23][1630/5005] Time 0.191 (0.223) Data 0.047 (0.069) Loss 2.7795 (2.8214) Prec@1 38.672 (38.315) Prec@5 62.891 (64.007)
Epoch: [23][1640/5005] Time 0.189 (0.223) Data 0.053 (0.069) Loss 2.9485 (2.8218) Prec@1 39.844 (38.313) Prec@5 62.109 (64.004)
Epoch: [23][1650/5005] Time 0.195 (0.223) Data 0.047 (0.069) Loss 2.8924 (2.8218) Prec@1 36.719 (38.316) Prec@5 60.938 (64.005)
Epoch: [23][1660/5005] Time 0.205 (0.223) Data 0.052 (0.069) Loss 2.5919 (2.8210) Prec@1 43.750 (38.338) Prec@5 67.188 (64.023)
Epoch: [23][1670/5005] Time 0.206 (0.223) Data 0.049 (0.069) Loss 2.6485 (2.8211) Prec@1 38.672 (38.332) Prec@5 67.578 (64.028)
Epoch: [23][1680/5005] Time 0.211 (0.223) Data 0.063 (0.069) Loss 2.8766 (2.8213) Prec@1 36.719 (38.330) Prec@5 64.062 (64.033)
Epoch: [23][1690/5005] Time 0.199 (0.223) Data 0.049 (0.069) Loss 2.6382 (2.8208) Prec@1 42.578 (38.335) Prec@5 66.406 (64.040)
Epoch: [23][1700/5005] Time 0.201 (0.223) Data 0.062 (0.069) Loss 2.7381 (2.8203) Prec@1 38.672 (38.341) Prec@5 66.406 (64.045)
Epoch: [23][1710/5005] Time 0.207 (0.223) Data 0.044 (0.069) Loss 2.5948 (2.8198) Prec@1 43.750 (38.347) Prec@5 68.359 (64.052)
Epoch: [23][1720/5005] Time 0.212 (0.223) Data 0.047 (0.069) Loss 2.9648 (2.8200) Prec@1 35.547 (38.339) Prec@5 61.719 (64.047)
Epoch: [23][1730/5005] Time 0.199 (0.223) Data 0.092 (0.069) Loss 2.8091 (2.8198) Prec@1 35.547 (38.337) Prec@5 66.016 (64.055)
Epoch: [23][1740/5005] Time 0.207 (0.223) Data 0.050 (0.069) Loss 3.0243 (2.8195) Prec@1 33.984 (38.338) Prec@5 58.594 (64.062)
Epoch: [23][1750/5005] Time 0.197 (0.223) Data 0.087 (0.069) Loss 2.8175 (2.8194) Prec@1 36.328 (38.334) Prec@5 62.109 (64.068)
Epoch: [23][1760/5005] Time 0.203 (0.223) Data 0.093 (0.069) Loss 2.6019 (2.8192) Prec@1 41.016 (38.338) Prec@5 69.141 (64.073)
Epoch: [23][1770/5005] Time 0.725 (0.223) Data 0.633 (0.070) Loss 2.8638 (2.8188) Prec@1 36.328 (38.344) Prec@5 62.109 (64.081)
Epoch: [23][1780/5005] Time 0.201 (0.223) Data 0.046 (0.069) Loss 2.9318 (2.8189) Prec@1 35.547 (38.341) Prec@5 57.812 (64.077)
Epoch: [23][1790/5005] Time 0.193 (0.223) Data 0.103 (0.069) Loss 2.7213 (2.8185) Prec@1 41.406 (38.352) Prec@5 68.750 (64.088)
Epoch: [23][1800/5005] Time 0.194 (0.223) Data 0.063 (0.070) Loss 2.8774 (2.8182) Prec@1 39.453 (38.359) Prec@5 62.891 (64.091)
Epoch: [23][1810/5005] Time 0.198 (0.223) Data 0.059 (0.070) Loss 2.6328 (2.8178) Prec@1 41.406 (38.358) Prec@5 64.844 (64.096)
Epoch: [23][1820/5005] Time 0.204 (0.223) Data 0.044 (0.070) Loss 2.8341 (2.8177) Prec@1 38.672 (38.358) Prec@5 64.453 (64.101)
Epoch: [23][1830/5005] Time 0.201 (0.223) Data 0.066 (0.070) Loss 2.5698 (2.8172) Prec@1 41.797 (38.367) Prec@5 70.703 (64.110)
Epoch: [23][1840/5005] Time 0.202 (0.223) Data 0.044 (0.070) Loss 2.9040 (2.8172) Prec@1 31.250 (38.362) Prec@5 61.328 (64.109)
Epoch: [23][1850/5005] Time 0.208 (0.223) Data 0.092 (0.070) Loss 2.8239 (2.8170) Prec@1 35.156 (38.365) Prec@5 62.891 (64.110)
Epoch: [23][1860/5005] Time 0.196 (0.223) Data 0.045 (0.070) Loss 2.7071 (2.8170) Prec@1 39.453 (38.360) Prec@5 67.188 (64.113)
Epoch: [23][1870/5005] Time 0.199 (0.223) Data 0.044 (0.070) Loss 3.0992 (2.8173) Prec@1 34.766 (38.356) Prec@5 58.984 (64.107)
Epoch: [23][1880/5005] Time 0.197 (0.223) Data 0.061 (0.070) Loss 2.7779 (2.8176) Prec@1 37.891 (38.350) Prec@5 67.969 (64.108)
Epoch: [23][1890/5005] Time 0.199 (0.223) Data 0.047 (0.070) Loss 2.8378 (2.8176) Prec@1 38.672 (38.350) Prec@5 64.453 (64.110)
Epoch: [23][1900/5005] Time 0.511 (0.223) Data 0.419 (0.070) Loss 2.8291 (2.8179) Prec@1 40.234 (38.347) Prec@5 64.844 (64.105)
Epoch: [23][1910/5005] Time 0.205 (0.223) Data 0.045 (0.070) Loss 2.8188 (2.8181) Prec@1 36.328 (38.341) Prec@5 64.062 (64.098)
Epoch: [23][1920/5005] Time 0.205 (0.223) Data 0.050 (0.070) Loss 2.8069 (2.8180) Prec@1 36.328 (38.336) Prec@5 64.453 (64.102)
Epoch: [23][1930/5005] Time 0.202 (0.223) Data 0.054 (0.070) Loss 2.6884 (2.8180) Prec@1 40.234 (38.337) Prec@5 66.016 (64.104)
Epoch: [23][1940/5005] Time 0.201 (0.223) Data 0.103 (0.070) Loss 2.6721 (2.8178) Prec@1 42.188 (38.335) Prec@5 67.578 (64.112)
Epoch: [23][1950/5005] Time 0.199 (0.223) Data 0.055 (0.070) Loss 2.8952 (2.8179) Prec@1 33.203 (38.335) Prec@5 64.453 (64.112)
Epoch: [23][1960/5005] Time 0.196 (0.223) Data 0.051 (0.070) Loss 2.7352 (2.8178) Prec@1 37.891 (38.342) Prec@5 65.625 (64.117)
Epoch: [23][1970/5005] Time 0.328 (0.223) Data 0.239 (0.071) Loss 2.8699 (2.8180) Prec@1 38.281 (38.337) Prec@5 63.281 (64.115)
Epoch: [23][1980/5005] Time 0.191 (0.223) Data 0.049 (0.071) Loss 2.5710 (2.8179) Prec@1 37.109 (38.338) Prec@5 67.188 (64.119)
Epoch: [23][1990/5005] Time 0.219 (0.223) Data 0.140 (0.071) Loss 2.6749 (2.8178) Prec@1 42.969 (38.340) Prec@5 67.969 (64.124)
Epoch: [23][2000/5005] Time 0.213 (0.223) Data 0.047 (0.071) Loss 2.6012 (2.8179) Prec@1 42.578 (38.339) Prec@5 66.797 (64.120)
Epoch: [23][2010/5005] Time 0.199 (0.223) Data 0.043 (0.071) Loss 2.6846 (2.8180) Prec@1 41.797 (38.336) Prec@5 67.578 (64.119)
Epoch: [23][2020/5005] Time 0.458 (0.223) Data 0.363 (0.071) Loss 2.7806 (2.8178) Prec@1 38.672 (38.339) Prec@5 66.016 (64.120)
Epoch: [23][2030/5005] Time 0.202 (0.223) Data 0.049 (0.071) Loss 2.8518 (2.8178) Prec@1 36.719 (38.343) Prec@5 64.453 (64.122)
Epoch: [23][2040/5005] Time 0.207 (0.223) Data 0.048 (0.071) Loss 2.5333 (2.8173) Prec@1 39.844 (38.349) Prec@5 64.844 (64.129)
Epoch: [23][2050/5005] Time 0.240 (0.223) Data 0.153 (0.071) Loss 2.9027 (2.8173) Prec@1 38.672 (38.345) Prec@5 64.062 (64.129)
Epoch: [23][2060/5005] Time 0.203 (0.223) Data 0.049 (0.071) Loss 2.7711 (2.8173) Prec@1 39.453 (38.348) Prec@5 61.719 (64.129)
Epoch: [23][2070/5005] Time 0.198 (0.223) Data 0.047 (0.071) Loss 3.0612 (2.8175) Prec@1 32.812 (38.345) Prec@5 62.500 (64.122)
Epoch: [23][2080/5005] Time 0.202 (0.223) Data 0.052 (0.071) Loss 2.8421 (2.8174) Prec@1 37.500 (38.352) Prec@5 63.281 (64.125)
Epoch: [23][2090/5005] Time 0.203 (0.223) Data 0.047 (0.071) Loss 2.5448 (2.8169) Prec@1 47.656 (38.359) Prec@5 68.750 (64.130)
Epoch: [23][2100/5005] Time 0.478 (0.223) Data 0.395 (0.071) Loss 2.8591 (2.8168) Prec@1 37.891 (38.361) Prec@5 64.453 (64.135)
Epoch: [23][2110/5005] Time 0.192 (0.223) Data 0.088 (0.071) Loss 2.6988 (2.8168) Prec@1 39.062 (38.361) Prec@5 67.188 (64.137)
Epoch: [23][2120/5005] Time 0.212 (0.223) Data 0.043 (0.071) Loss 2.8758 (2.8168) Prec@1 38.281 (38.368) Prec@5 62.500 (64.140)
Epoch: [23][2130/5005] Time 0.201 (0.223) Data 0.058 (0.071) Loss 2.8954 (2.8165) Prec@1 40.625 (38.371) Prec@5 59.375 (64.143)
Epoch: [23][2140/5005] Time 0.204 (0.223) Data 0.047 (0.071) Loss 2.7043 (2.8167) Prec@1 39.062 (38.369) Prec@5 66.016 (64.140)
Epoch: [23][2150/5005] Time 0.195 (0.223) Data 0.110 (0.071) Loss 2.6010 (2.8166) Prec@1 42.578 (38.370) Prec@5 67.969 (64.140)
Epoch: [23][2160/5005] Time 0.205 (0.223) Data 0.045 (0.072) Loss 2.7157 (2.8166) Prec@1 36.719 (38.372) Prec@5 65.234 (64.140)
Epoch: [23][2170/5005] Time 0.210 (0.223) Data 0.040 (0.071) Loss 2.7730 (2.8163) Prec@1 37.500 (38.378) Prec@5 65.234 (64.146)
Epoch: [23][2180/5005] Time 0.209 (0.223) Data 0.044 (0.072) Loss 2.7824 (2.8162) Prec@1 40.625 (38.382) Prec@5 62.500 (64.147)
Epoch: [23][2190/5005] Time 0.194 (0.224) Data 0.048 (0.072) Loss 3.0737 (2.8163) Prec@1 39.453 (38.379) Prec@5 59.375 (64.151)
Epoch: [23][2200/5005] Time 0.199 (0.224) Data 0.039 (0.072) Loss 2.7982 (2.8165) Prec@1 37.891 (38.375) Prec@5 62.891 (64.151)
Epoch: [23][2210/5005] Time 0.200 (0.223) Data 0.043 (0.072) Loss 2.8605 (2.8168) Prec@1 39.062 (38.377) Prec@5 64.062 (64.150)
Epoch: [23][2220/5005] Time 0.197 (0.223) Data 0.046 (0.072) Loss 3.0180 (2.8169) Prec@1 35.156 (38.375) Prec@5 60.547 (64.146)
Epoch: [23][2230/5005] Time 0.200 (0.224) Data 0.045 (0.072) Loss 2.8705 (2.8170) Prec@1 38.281 (38.380) Prec@5 60.547 (64.138)
Epoch: [23][2240/5005] Time 0.191 (0.224) Data 0.060 (0.072) Loss 2.7534 (2.8170) Prec@1 38.281 (38.378) Prec@5 66.797 (64.140)
Epoch: [23][2250/5005] Time 0.204 (0.224) Data 0.043 (0.072) Loss 2.6961 (2.8170) Prec@1 41.797 (38.380) Prec@5 66.797 (64.142)
Epoch: [23][2260/5005] Time 0.208 (0.223) Data 0.052 (0.072) Loss 2.8053 (2.8168) Prec@1 37.500 (38.385) Prec@5 62.891 (64.144)
Epoch: [23][2270/5005] Time 0.211 (0.223) Data 0.044 (0.072) Loss 2.9929 (2.8167) Prec@1 35.156 (38.386) Prec@5 60.156 (64.147)
Epoch: [23][2280/5005] Time 0.215 (0.223) Data 0.045 (0.071) Loss 2.8888 (2.8168) Prec@1 37.891 (38.385) Prec@5 64.062 (64.146)
Epoch: [23][2290/5005] Time 0.203 (0.223) Data 0.054 (0.071) Loss 2.7127 (2.8168) Prec@1 38.281 (38.387) Prec@5 66.797 (64.147)
Epoch: [23][2300/5005] Time 0.211 (0.223) Data 0.051 (0.071) Loss 2.6533 (2.8168) Prec@1 38.672 (38.391) Prec@5 64.062 (64.141)
Epoch: [23][2310/5005] Time 0.204 (0.223) Data 0.049 (0.071) Loss 2.7880 (2.8168) Prec@1 39.453 (38.392) Prec@5 62.500 (64.138)
Epoch: [23][2320/5005] Time 0.232 (0.223) Data 0.148 (0.072) Loss 2.9463 (2.8169) Prec@1 31.250 (38.390) Prec@5 62.891 (64.137)
Epoch: [23][2330/5005] Time 0.199 (0.223) Data 0.053 (0.072) Loss 2.8270 (2.8167) Prec@1 37.891 (38.396) Prec@5 66.797 (64.144)
Epoch: [23][2340/5005] Time 0.198 (0.223) Data 0.042 (0.072) Loss 2.9506 (2.8165) Prec@1 34.375 (38.396) Prec@5 61.328 (64.146)
Epoch: [23][2350/5005] Time 0.202 (0.223) Data 0.041 (0.072) Loss 2.6914 (2.8162) Prec@1 41.016 (38.401) Prec@5 62.500 (64.150)
Epoch: [23][2360/5005] Time 0.193 (0.223) Data 0.047 (0.072) Loss 2.8077 (2.8164) Prec@1 39.453 (38.396) Prec@5 62.500 (64.146)
Epoch: [23][2370/5005] Time 0.582 (0.224) Data 0.501 (0.072) Loss 2.7311 (2.8165) Prec@1 37.109 (38.393) Prec@5 65.234 (64.148)
Epoch: [23][2380/5005] Time 0.200 (0.224) Data 0.043 (0.072) Loss 2.7740 (2.8165) Prec@1 37.109 (38.388) Prec@5 64.844 (64.149)
Epoch: [23][2390/5005] Time 0.200 (0.224) Data 0.049 (0.072) Loss 2.7267 (2.8164) Prec@1 39.844 (38.390) Prec@5 66.406 (64.153)
Epoch: [23][2400/5005] Time 0.206 (0.224) Data 0.040 (0.072) Loss 2.7416 (2.8165) Prec@1 34.375 (38.382) Prec@5 65.625 (64.152)
Epoch: [23][2410/5005] Time 0.312 (0.224) Data 0.227 (0.072) Loss 3.0252 (2.8165) Prec@1 36.328 (38.380) Prec@5 61.719 (64.149)
Epoch: [23][2420/5005] Time 0.206 (0.224) Data 0.042 (0.072) Loss 2.8136 (2.8163) Prec@1 37.109 (38.382) Prec@5 67.969 (64.157)
Epoch: [23][2430/5005] Time 0.198 (0.223) Data 0.046 (0.072) Loss 2.7135 (2.8165) Prec@1 39.453 (38.384) Prec@5 65.234 (64.151)
Epoch: [23][2440/5005] Time 0.192 (0.224) Data 0.048 (0.072) Loss 2.7087 (2.8165) Prec@1 39.453 (38.384) Prec@5 67.188 (64.151)
Epoch: [23][2450/5005] Time 0.215 (0.223) Data 0.041 (0.072) Loss 2.6787 (2.8162) Prec@1 38.281 (38.391) Prec@5 67.969 (64.154)
Epoch: [23][2460/5005] Time 0.191 (0.223) Data 0.097 (0.072) Loss 2.8605 (2.8161) Prec@1 36.719 (38.394) Prec@5 62.109 (64.156)
Epoch: [23][2470/5005] Time 0.270 (0.223) Data 0.187 (0.072) Loss 2.7469 (2.8160) Prec@1 43.359 (38.397) Prec@5 64.062 (64.156)
Epoch: [23][2480/5005] Time 0.248 (0.223) Data 0.154 (0.072) Loss 2.9893 (2.8162) Prec@1 32.422 (38.392) Prec@5 63.672 (64.157)
Epoch: [23][2490/5005] Time 0.202 (0.223) Data 0.044 (0.072) Loss 2.5656 (2.8162) Prec@1 40.234 (38.389) Prec@5 68.750 (64.158)
Epoch: [23][2500/5005] Time 0.196 (0.223) Data 0.048 (0.072) Loss 2.9118 (2.8162) Prec@1 36.328 (38.392) Prec@5 63.281 (64.156)
Epoch: [23][2510/5005] Time 0.204 (0.224) Data 0.045 (0.072) Loss 2.8294 (2.8163) Prec@1 35.938 (38.390) Prec@5 64.453 (64.156)
Epoch: [23][2520/5005] Time 0.196 (0.224) Data 0.040 (0.072) Loss 2.5788 (2.8161) Prec@1 44.922 (38.392) Prec@5 69.922 (64.159)
Epoch: [23][2530/5005] Time 0.198 (0.224) Data 0.043 (0.072) Loss 2.8653 (2.8159) Prec@1 38.281 (38.395) Prec@5 60.547 (64.159)
Epoch: [23][2540/5005] Time 0.207 (0.224) Data 0.039 (0.072) Loss 2.7281 (2.8159) Prec@1 37.891 (38.400) Prec@5 64.453 (64.159)
Epoch: [23][2550/5005] Time 0.492 (0.224) Data 0.405 (0.072) Loss 2.6855 (2.8159) Prec@1 39.062 (38.397) Prec@5 66.016 (64.159)
Epoch: [23][2560/5005] Time 0.206 (0.224) Data 0.055 (0.072) Loss 2.9675 (2.8160) Prec@1 33.203 (38.395) Prec@5 62.891 (64.160)
Epoch: [23][2570/5005] Time 0.212 (0.224) Data 0.042 (0.072) Loss 2.8012 (2.8162) Prec@1 34.766 (38.391) Prec@5 63.281 (64.157)
Epoch: [23][2580/5005] Time 0.206 (0.224) Data 0.044 (0.072) Loss 2.7695 (2.8166) Prec@1 41.406 (38.388) Prec@5 62.500 (64.152)
Epoch: [23][2590/5005] Time 0.582 (0.224) Data 0.492 (0.072) Loss 2.9140 (2.8164) Prec@1 37.891 (38.395) Prec@5 61.719 (64.154)
Epoch: [23][2600/5005] Time 0.199 (0.224) Data 0.060 (0.072) Loss 2.9647 (2.8167) Prec@1 33.203 (38.388) Prec@5 63.281 (64.148)
Epoch: [23][2610/5005] Time 0.203 (0.224) Data 0.046 (0.072) Loss 3.0000 (2.8166) Prec@1 33.984 (38.392) Prec@5 62.109 (64.150)
Epoch: [23][2620/5005] Time 0.196 (0.224) Data 0.053 (0.072) Loss 2.6450 (2.8166) Prec@1 43.359 (38.390) Prec@5 66.406 (64.149)
Epoch: [23][2630/5005] Time 0.203 (0.224) Data 0.053 (0.072) Loss 3.1156 (2.8170) Prec@1 35.156 (38.387) Prec@5 58.984 (64.142)
Epoch: [23][2640/5005] Time 0.200 (0.224) Data 0.048 (0.072) Loss 2.8561 (2.8169) Prec@1 34.375 (38.391) Prec@5 65.234 (64.149)
Epoch: [23][2650/5005] Time 0.202 (0.224) Data 0.040 (0.072) Loss 2.9949 (2.8170) Prec@1 37.500 (38.390) Prec@5 55.078 (64.146)
Epoch: [23][2660/5005] Time 0.202 (0.224) Data 0.039 (0.072) Loss 2.9028 (2.8168) Prec@1 32.812 (38.394) Prec@5 62.500 (64.145)
Epoch: [23][2670/5005] Time 0.197 (0.224) Data 0.042 (0.072) Loss 2.6396 (2.8167) Prec@1 36.328 (38.394) Prec@5 68.750 (64.147)
Epoch: [23][2680/5005] Time 0.191 (0.224) Data 0.047 (0.073) Loss 2.5623 (2.8168) Prec@1 41.016 (38.389) Prec@5 68.359 (64.146)
Epoch: [23][2690/5005] Time 0.206 (0.224) Data 0.043 (0.073) Loss 2.6760 (2.8168) Prec@1 42.578 (38.390) Prec@5 68.359 (64.148)
Epoch: [23][2700/5005] Time 0.208 (0.224) Data 0.041 (0.073) Loss 2.8057 (2.8169) Prec@1 36.719 (38.385) Prec@5 66.016 (64.148)
Epoch: [23][2710/5005] Time 0.206 (0.224) Data 0.049 (0.072) Loss 2.7238 (2.8172) Prec@1 41.797 (38.382) Prec@5 66.016 (64.144)
Epoch: [23][2720/5005] Time 0.206 (0.224) Data 0.050 (0.072) Loss 2.7926 (2.8174) Prec@1 42.969 (38.377) Prec@5 67.188 (64.147)
Epoch: [23][2730/5005] Time 0.198 (0.224) Data 0.058 (0.072) Loss 2.8858 (2.8171) Prec@1 35.547 (38.377) Prec@5 58.594 (64.152)
Epoch: [23][2740/5005] Time 0.194 (0.224) Data 0.062 (0.072) Loss 2.8955 (2.8172) Prec@1 39.062 (38.375) Prec@5 63.281 (64.150)
Epoch: [23][2750/5005] Time 0.202 (0.223) Data 0.045 (0.072) Loss 2.7736 (2.8168) Prec@1 36.328 (38.383) Prec@5 67.578 (64.153)
Epoch: [23][2760/5005] Time 0.197 (0.223) Data 0.050 (0.072) Loss 2.8066 (2.8167) Prec@1 37.109 (38.386) Prec@5 64.844 (64.159)
Epoch: [23][2770/5005] Time 0.210 (0.224) Data 0.049 (0.073) Loss 2.8036 (2.8168) Prec@1 39.844 (38.382) Prec@5 63.281 (64.160)
Epoch: [23][2780/5005] Time 0.193 (0.224) Data 0.044 (0.073) Loss 3.1943 (2.8169) Prec@1 32.422 (38.381) Prec@5 58.984 (64.160)
Epoch: [23][2790/5005] Time 0.200 (0.224) Data 0.043 (0.073) Loss 3.0630 (2.8172) Prec@1 33.203 (38.380) Prec@5 58.594 (64.159)
Epoch: [23][2800/5005] Time 0.197 (0.224) Data 0.048 (0.073) Loss 2.5504 (2.8172) Prec@1 44.531 (38.382) Prec@5 69.531 (64.162)
Epoch: [23][2810/5005] Time 0.203 (0.224) Data 0.085 (0.073) Loss 2.8949 (2.8171) Prec@1 36.328 (38.381) Prec@5 62.500 (64.165)
Epoch: [23][2820/5005] Time 0.207 (0.224) Data 0.048 (0.073) Loss 2.5400 (2.8171) Prec@1 38.281 (38.377) Prec@5 68.750 (64.166)
Epoch: [23][2830/5005] Time 0.274 (0.224) Data 0.184 (0.073) Loss 3.0891 (2.8172) Prec@1 34.766 (38.375) Prec@5 57.812 (64.165)
Epoch: [23][2840/5005] Time 0.196 (0.224) Data 0.086 (0.073) Loss 2.8096 (2.8172) Prec@1 40.625 (38.375) Prec@5 67.578 (64.167)
Epoch: [23][2850/5005] Time 0.205 (0.224) Data 0.043 (0.073) Loss 2.8125 (2.8171) Prec@1 39.844 (38.378) Prec@5 65.234 (64.171)
Epoch: [23][2860/5005] Time 0.206 (0.224) Data 0.048 (0.073) Loss 2.7380 (2.8171) Prec@1 39.844 (38.374) Prec@5 66.016 (64.172)
Epoch: [23][2870/5005] Time 0.198 (0.224) Data 0.048 (0.073) Loss 2.8164 (2.8168) Prec@1 39.453 (38.381) Prec@5 65.234 (64.179)
Epoch: [23][2880/5005] Time 0.196 (0.224) Data 0.045 (0.073) Loss 2.8092 (2.8168) Prec@1 37.109 (38.378) Prec@5 65.234 (64.177)
Epoch: [23][2890/5005] Time 0.194 (0.224) Data 0.048 (0.073) Loss 2.7791 (2.8168) Prec@1 33.984 (38.374) Prec@5 62.109 (64.181)
Epoch: [23][2900/5005] Time 0.198 (0.224) Data 0.055 (0.073) Loss 2.5356 (2.8167) Prec@1 42.969 (38.374) Prec@5 68.359 (64.185)
Epoch: [23][2910/5005] Time 0.204 (0.224) Data 0.052 (0.073) Loss 2.8004 (2.8167) Prec@1 37.500 (38.374) Prec@5 62.891 (64.182)
Epoch: [23][2920/5005] Time 0.206 (0.224) Data 0.045 (0.073) Loss 2.8416 (2.8168) Prec@1 35.156 (38.372) Prec@5 62.500 (64.180)
Epoch: [23][2930/5005] Time 0.445 (0.224) Data 0.362 (0.073) Loss 3.0474 (2.8168) Prec@1 30.859 (38.369) Prec@5 59.766 (64.180)
Epoch: [23][2940/5005] Time 0.202 (0.224) Data 0.045 (0.073) Loss 2.8441 (2.8167) Prec@1 39.453 (38.372) Prec@5 61.328 (64.179)
Epoch: [23][2950/5005] Time 0.206 (0.224) Data 0.050 (0.073) Loss 3.0029 (2.8165) Prec@1 35.156 (38.375) Prec@5 64.062 (64.184)
Epoch: [23][2960/5005] Time 0.198 (0.224) Data 0.050 (0.073) Loss 2.7704 (2.8164) Prec@1 40.625 (38.377) Prec@5 66.016 (64.185)
Epoch: [23][2970/5005] Time 0.561 (0.224) Data 0.474 (0.074) Loss 2.9387 (2.8163) Prec@1 30.859 (38.376) Prec@5 62.891 (64.188)
Epoch: [23][2980/5005] Time 0.209 (0.224) Data 0.039 (0.074) Loss 3.0113 (2.8164) Prec@1 33.984 (38.374) Prec@5 60.938 (64.185)
Epoch: [23][2990/5005] Time 0.205 (0.224) Data 0.050 (0.074) Loss 2.7466 (2.8163) Prec@1 37.109 (38.371) Prec@5 66.016 (64.186)
Epoch: [23][3000/5005] Time 0.201 (0.224) Data 0.059 (0.074) Loss 2.8834 (2.8162) Prec@1 37.891 (38.374) Prec@5 60.547 (64.187)
Epoch: [23][3010/5005] Time 0.218 (0.224) Data 0.047 (0.073) Loss 2.8128 (2.8164) Prec@1 41.797 (38.371) Prec@5 64.062 (64.183)
Epoch: [23][3020/5005] Time 0.200 (0.224) Data 0.047 (0.074) Loss 2.7201 (2.8166) Prec@1 35.938 (38.365) Prec@5 66.406 (64.182)
Epoch: [23][3030/5005] Time 0.196 (0.224) Data 0.052 (0.074) Loss 2.7849 (2.8166) Prec@1 42.188 (38.368) Prec@5 64.844 (64.181)
Epoch: [23][3040/5005] Time 0.198 (0.224) Data 0.050 (0.074) Loss 2.6236 (2.8164) Prec@1 42.969 (38.375) Prec@5 66.016 (64.180)
Epoch: [23][3050/5005] Time 0.206 (0.224) Data 0.045 (0.074) Loss 2.9078 (2.8164) Prec@1 34.766 (38.374) Prec@5 62.500 (64.181)
Epoch: [23][3060/5005] Time 0.212 (0.224) Data 0.042 (0.074) Loss 2.6805 (2.8163) Prec@1 42.969 (38.375) Prec@5 66.406 (64.181)
Epoch: [23][3070/5005] Time 0.322 (0.224) Data 0.235 (0.074) Loss 2.9625 (2.8164) Prec@1 36.328 (38.377) Prec@5 62.500 (64.178)
Epoch: [23][3080/5005] Time 0.200 (0.224) Data 0.051 (0.074) Loss 2.6919 (2.8164) Prec@1 34.766 (38.374) Prec@5 67.578 (64.176)
Epoch: [23][3090/5005] Time 0.197 (0.224) Data 0.055 (0.074) Loss 3.1046 (2.8164) Prec@1 29.688 (38.374) Prec@5 57.812 (64.175)
Epoch: [23][3100/5005] Time 0.192 (0.224) Data 0.045 (0.074) Loss 2.7738 (2.8165) Prec@1 38.672 (38.370) Prec@5 66.406 (64.174)
Epoch: [23][3110/5005] Time 0.206 (0.224) Data 0.046 (0.074) Loss 2.7240 (2.8164) Prec@1 39.453 (38.372) Prec@5 63.672 (64.177)
Epoch: [23][3120/5005] Time 0.201 (0.224) Data 0.046 (0.074) Loss 2.8314 (2.8165) Prec@1 37.109 (38.371) Prec@5 62.500 (64.175)
Epoch: [23][3130/5005] Time 0.202 (0.224) Data 0.070 (0.074) Loss 2.9017 (2.8164) Prec@1 34.766 (38.374) Prec@5 60.547 (64.175)
Epoch: [23][3140/5005] Time 0.211 (0.224) Data 0.040 (0.074) Loss 2.6947 (2.8161) Prec@1 41.406 (38.379) Prec@5 65.234 (64.178)
Epoch: [23][3150/5005] Time 0.203 (0.224) Data 0.040 (0.074) Loss 2.8000 (2.8161) Prec@1 39.844 (38.381) Prec@5 63.672 (64.179)
Epoch: [23][3160/5005] Time 0.204 (0.224) Data 0.044 (0.074) Loss 2.5554 (2.8160) Prec@1 42.578 (38.386) Prec@5 71.094 (64.181)
Epoch: [23][3170/5005] Time 0.196 (0.224) Data 0.046 (0.074) Loss 2.9131 (2.8162) Prec@1 36.328 (38.384) Prec@5 62.891 (64.180)
Epoch: [23][3180/5005] Time 0.203 (0.224) Data 0.048 (0.074) Loss 2.5477 (2.8163) Prec@1 44.922 (38.383) Prec@5 69.141 (64.176)
Epoch: [23][3190/5005] Time 0.236 (0.224) Data 0.145 (0.074) Loss 2.8981 (2.8165) Prec@1 36.719 (38.378) Prec@5 63.672 (64.176)
Epoch: [23][3200/5005] Time 0.201 (0.224) Data 0.041 (0.074) Loss 2.9602 (2.8165) Prec@1 36.719 (38.381) Prec@5 62.891 (64.180)
Epoch: [23][3210/5005] Time 0.196 (0.224) Data 0.043 (0.074) Loss 2.9537 (2.8164) Prec@1 39.453 (38.382) Prec@5 62.500 (64.183)
Epoch: [23][3220/5005] Time 0.263 (0.224) Data 0.181 (0.074) Loss 2.7635 (2.8165) Prec@1 39.844 (38.385) Prec@5 64.062 (64.179)
Epoch: [23][3230/5005] Time 0.203 (0.224) Data 0.049 (0.074) Loss 2.7760 (2.8164) Prec@1 39.453 (38.384) Prec@5 60.938 (64.180)
Epoch: [23][3240/5005] Time 0.200 (0.224) Data 0.043 (0.075) Loss 3.0570 (2.8168) Prec@1 32.812 (38.376) Prec@5 58.984 (64.171)
Epoch: [23][3250/5005] Time 0.205 (0.224) Data 0.041 (0.075) Loss 2.8095 (2.8170) Prec@1 38.672 (38.372) Prec@5 65.234 (64.171)
Epoch: [23][3260/5005] Time 0.197 (0.224) Data 0.044 (0.075) Loss 2.8298 (2.8171) Prec@1 37.500 (38.367) Prec@5 64.844 (64.172)
Epoch: [23][3270/5005] Time 0.204 (0.224) Data 0.039 (0.075) Loss 2.9435 (2.8169) Prec@1 39.844 (38.369) Prec@5 58.984 (64.173)
Epoch: [23][3280/5005] Time 0.200 (0.224) Data 0.041 (0.075) Loss 2.7351 (2.8171) Prec@1 41.406 (38.364) Prec@5 68.359 (64.172)
Epoch: [23][3290/5005] Time 0.201 (0.224) Data 0.049 (0.075) Loss 2.7427 (2.8169) Prec@1 39.062 (38.364) Prec@5 65.234 (64.178)
Epoch: [23][3300/5005] Time 0.214 (0.224) Data 0.043 (0.075) Loss 2.6894 (2.8169) Prec@1 36.328 (38.360) Prec@5 65.625 (64.177)
Epoch: [23][3310/5005] Time 0.195 (0.224) Data 0.045 (0.075) Loss 2.6557 (2.8169) Prec@1 42.578 (38.362) Prec@5 67.578 (64.178)
Epoch: [23][3320/5005] Time 0.202 (0.224) Data 0.051 (0.075) Loss 2.8123 (2.8169) Prec@1 40.234 (38.359) Prec@5 67.188 (64.176)
Epoch: [23][3330/5005] Time 0.584 (0.224) Data 0.509 (0.075) Loss 3.0429 (2.8170) Prec@1 35.156 (38.356) Prec@5 59.375 (64.177)
Epoch: [23][3340/5005] Time 0.201 (0.224) Data 0.046 (0.075) Loss 2.9681 (2.8171) Prec@1 33.594 (38.351) Prec@5 58.203 (64.174)
Epoch: [23][3350/5005] Time 0.198 (0.224) Data 0.045 (0.075) Loss 2.8942 (2.8172) Prec@1 38.281 (38.348) Prec@5 64.453 (64.172)
Epoch: [23][3360/5005] Time 0.188 (0.224) Data 0.046 (0.075) Loss 2.7625 (2.8172) Prec@1 39.453 (38.351) Prec@5 68.359 (64.175)
Epoch: [23][3370/5005] Time 0.196 (0.224) Data 0.110 (0.075) Loss 2.8718 (2.8171) Prec@1 37.891 (38.352) Prec@5 60.547 (64.172)
Epoch: [23][3380/5005] Time 0.204 (0.224) Data 0.039 (0.075) Loss 2.7768 (2.8169) Prec@1 38.281 (38.353) Prec@5 66.016 (64.174)
Epoch: [23][3390/5005] Time 0.201 (0.224) Data 0.044 (0.075) Loss 2.8768 (2.8171) Prec@1 37.500 (38.349) Prec@5 64.453 (64.167)
Epoch: [23][3400/5005] Time 0.207 (0.224) Data 0.041 (0.075) Loss 2.7278 (2.8172) Prec@1 39.453 (38.351) Prec@5 65.234 (64.165)
Epoch: [23][3410/5005] Time 0.211 (0.224) Data 0.046 (0.075) Loss 2.7237 (2.8170) Prec@1 41.406 (38.355) Prec@5 66.797 (64.168)
Epoch: [23][3420/5005] Time 0.205 (0.224) Data 0.044 (0.075) Loss 2.7391 (2.8170) Prec@1 40.625 (38.357) Prec@5 65.234 (64.170)
Epoch: [23][3430/5005] Time 0.207 (0.224) Data 0.040 (0.075) Loss 2.6998 (2.8169) Prec@1 39.062 (38.357) Prec@5 66.406 (64.171)
Epoch: [23][3440/5005] Time 0.355 (0.224) Data 0.268 (0.075) Loss 2.8816 (2.8168) Prec@1 35.547 (38.357) Prec@5 61.719 (64.173)
Epoch: [23][3450/5005] Time 0.196 (0.224) Data 0.045 (0.075) Loss 2.7083 (2.8167) Prec@1 42.578 (38.362) Prec@5 66.797 (64.173)
Epoch: [23][3460/5005] Time 0.203 (0.224) Data 0.040 (0.075) Loss 2.7037 (2.8168) Prec@1 39.844 (38.362) Prec@5 65.625 (64.170)
Epoch: [23][3470/5005] Time 0.203 (0.224) Data 0.051 (0.075) Loss 2.5935 (2.8165) Prec@1 43.750 (38.364) Prec@5 66.016 (64.175)
Epoch: [23][3480/5005] Time 0.203 (0.224) Data 0.048 (0.075) Loss 2.6520 (2.8162) Prec@1 40.234 (38.366) Prec@5 66.016 (64.179)
Epoch: [23][3490/5005] Time 0.198 (0.224) Data 0.043 (0.075) Loss 2.8724 (2.8161) Prec@1 37.109 (38.369) Prec@5 65.625 (64.180)
Epoch: [23][3500/5005] Time 0.201 (0.224) Data 0.038 (0.075) Loss 2.6765 (2.8163) Prec@1 38.672 (38.365) Prec@5 66.797 (64.179)
Epoch: [23][3510/5005] Time 0.203 (0.224) Data 0.045 (0.075) Loss 2.7415 (2.8162) Prec@1 40.234 (38.366) Prec@5 62.891 (64.180)
Epoch: [23][3520/5005] Time 0.202 (0.224) Data 0.039 (0.075) Loss 2.8695 (2.8162) Prec@1 39.844 (38.370) Prec@5 62.500 (64.179)
Epoch: [23][3530/5005] Time 0.206 (0.224) Data 0.044 (0.075) Loss 2.8913 (2.8161) Prec@1 37.500 (38.375) Prec@5 63.281 (64.183)
Epoch: [23][3540/5005] Time 0.204 (0.224) Data 0.039 (0.075) Loss 2.7204 (2.8159) Prec@1 39.844 (38.378) Prec@5 66.406 (64.186)
Epoch: [23][3550/5005] Time 0.199 (0.224) Data 0.046 (0.075) Loss 2.8696 (2.8158) Prec@1 38.281 (38.379) Prec@5 62.500 (64.189)
Epoch: [23][3560/5005] Time 0.197 (0.224) Data 0.055 (0.075) Loss 2.8178 (2.8158) Prec@1 38.281 (38.380) Prec@5 66.016 (64.190)
Epoch: [23][3570/5005] Time 0.608 (0.224) Data 0.515 (0.075) Loss 2.8734 (2.8158) Prec@1 41.406 (38.379) Prec@5 62.891 (64.191)
Epoch: [23][3580/5005] Time 0.206 (0.224) Data 0.057 (0.075) Loss 2.7128 (2.8160) Prec@1 41.016 (38.377) Prec@5 66.406 (64.188)
Epoch: [23][3590/5005] Time 0.214 (0.224) Data 0.043 (0.075) Loss 2.8543 (2.8158) Prec@1 35.938 (38.380) Prec@5 64.453 (64.192)
Epoch: [23][3600/5005] Time 0.200 (0.224) Data 0.043 (0.075) Loss 3.0657 (2.8157) Prec@1 36.719 (38.384) Prec@5 56.250 (64.190)
Epoch: [23][3610/5005] Time 0.211 (0.224) Data 0.045 (0.075) Loss 2.6821 (2.8157) Prec@1 42.188 (38.386) Prec@5 62.500 (64.188)
Epoch: [23][3620/5005] Time 0.192 (0.224) Data 0.059 (0.075) Loss 2.7472 (2.8155) Prec@1 40.625 (38.391) Prec@5 65.625 (64.192)
Epoch: [23][3630/5005] Time 0.196 (0.224) Data 0.085 (0.075) Loss 3.0436 (2.8155) Prec@1 36.328 (38.393) Prec@5 58.984 (64.192)
Epoch: [23][3640/5005] Time 0.209 (0.224) Data 0.046 (0.075) Loss 2.8235 (2.8155) Prec@1 36.328 (38.393) Prec@5 65.234 (64.191)
Epoch: [23][3650/5005] Time 0.207 (0.224) Data 0.044 (0.075) Loss 2.5365 (2.8155) Prec@1 43.750 (38.393) Prec@5 69.531 (64.194)
Epoch: [23][3660/5005] Time 0.193 (0.224) Data 0.045 (0.075) Loss 2.8892 (2.8155) Prec@1 38.281 (38.391) Prec@5 60.938 (64.194)
Epoch: [23][3670/5005] Time 0.203 (0.224) Data 0.044 (0.075) Loss 2.9793 (2.8156) Prec@1 35.547 (38.389) Prec@5 58.984 (64.192)
Epoch: [23][3680/5005] Time 0.218 (0.224) Data 0.043 (0.075) Loss 2.7315 (2.8157) Prec@1 42.188 (38.385) Prec@5 65.625 (64.189)
Epoch: [23][3690/5005] Time 0.202 (0.224) Data 0.042 (0.075) Loss 2.7411 (2.8158) Prec@1 37.891 (38.383) Prec@5 67.969 (64.190)
Epoch: [23][3700/5005] Time 0.184 (0.224) Data 0.055 (0.075) Loss 2.8170 (2.8159) Prec@1 41.406 (38.382) Prec@5 68.750 (64.189)
Epoch: [23][3710/5005] Time 0.203 (0.224) Data 0.040 (0.075) Loss 2.8074 (2.8160) Prec@1 37.500 (38.381) Prec@5 64.062 (64.187)
Epoch: [23][3720/5005] Time 0.233 (0.224) Data 0.140 (0.075) Loss 2.9899 (2.8160) Prec@1 39.844 (38.381) Prec@5 63.672 (64.188)
Epoch: [23][3730/5005] Time 0.192 (0.224) Data 0.064 (0.075) Loss 2.7142 (2.8159) Prec@1 39.844 (38.383) Prec@5 67.578 (64.189)
Epoch: [23][3740/5005] Time 0.491 (0.224) Data 0.406 (0.075) Loss 2.7233 (2.8156) Prec@1 42.188 (38.391) Prec@5 66.406 (64.195)
Epoch: [23][3750/5005] Time 0.196 (0.224) Data 0.062 (0.075) Loss 2.6174 (2.8157) Prec@1 42.969 (38.389) Prec@5 65.625 (64.191)
Epoch: [23][3760/5005] Time 0.202 (0.224) Data 0.048 (0.076) Loss 3.0109 (2.8159) Prec@1 33.203 (38.385) Prec@5 59.375 (64.187)
Epoch: [23][3770/5005] Time 0.188 (0.224) Data 0.054 (0.076) Loss 2.9446 (2.8157) Prec@1 38.672 (38.386) Prec@5 60.547 (64.189)
Epoch: [23][3780/5005] Time 0.192 (0.224) Data 0.045 (0.076) Loss 2.9610 (2.8157) Prec@1 34.766 (38.388) Prec@5 62.500 (64.192)
Epoch: [23][3790/5005] Time 0.205 (0.224) Data 0.046 (0.076) Loss 2.9948 (2.8159) Prec@1 35.938 (38.383) Prec@5 59.766 (64.186)
Epoch: [23][3800/5005] Time 0.210 (0.224) Data 0.046 (0.076) Loss 2.7564 (2.8160) Prec@1 38.672 (38.379) Prec@5 64.844 (64.186)
Epoch: [23][3810/5005] Time 0.201 (0.224) Data 0.063 (0.076) Loss 2.8063 (2.8161) Prec@1 39.062 (38.379) Prec@5 67.969 (64.185)
Epoch: [23][3820/5005] Time 0.195 (0.224) Data 0.051 (0.076) Loss 2.7055 (2.8160) Prec@1 37.500 (38.381) Prec@5 67.188 (64.187)
Epoch: [23][3830/5005] Time 0.204 (0.224) Data 0.041 (0.076) Loss 2.9631 (2.8158) Prec@1 34.375 (38.382) Prec@5 63.281 (64.189)
Epoch: [23][3840/5005] Time 0.199 (0.224) Data 0.045 (0.076) Loss 3.0659 (2.8160) Prec@1 32.812 (38.379) Prec@5 57.422 (64.187)
Epoch: [23][3850/5005] Time 0.200 (0.224) Data 0.049 (0.076) Loss 2.9157 (2.8160) Prec@1 34.375 (38.379) Prec@5 66.406 (64.190)
Epoch: [23][3860/5005] Time 0.200 (0.224) Data 0.051 (0.076) Loss 2.5815 (2.8160) Prec@1 43.750 (38.382) Prec@5 66.797 (64.188)
Epoch: [23][3870/5005] Time 0.198 (0.224) Data 0.049 (0.076) Loss 2.8292 (2.8162) Prec@1 35.547 (38.377) Prec@5 60.938 (64.183)
Epoch: [23][3880/5005] Time 0.216 (0.224) Data 0.044 (0.076) Loss 2.7467 (2.8163) Prec@1 42.188 (38.373) Prec@5 62.891 (64.182)
Epoch: [23][3890/5005] Time 0.207 (0.224) Data 0.057 (0.076) Loss 2.9547 (2.8162) Prec@1 34.766 (38.372) Prec@5 64.844 (64.183)
Epoch: [23][3900/5005] Time 0.206 (0.224) Data 0.043 (0.076) Loss 3.0630 (2.8163) Prec@1 33.203 (38.371) Prec@5 58.594 (64.178)
Epoch: [23][3910/5005] Time 0.190 (0.224) Data 0.049 (0.076) Loss 2.8993 (2.8162) Prec@1 38.672 (38.371) Prec@5 62.109 (64.178)
Epoch: [23][3920/5005] Time 0.196 (0.225) Data 0.042 (0.076) Loss 2.8563 (2.8165) Prec@1 38.672 (38.369) Prec@5 64.844 (64.173)
Epoch: [23][3930/5005] Time 0.190 (0.224) Data 0.042 (0.076) Loss 2.7474 (2.8163) Prec@1 42.578 (38.370) Prec@5 60.156 (64.174)
Epoch: [23][3940/5005] Time 0.202 (0.224) Data 0.043 (0.076) Loss 2.7176 (2.8164) Prec@1 39.844 (38.367) Prec@5 66.016 (64.173)
Epoch: [23][3950/5005] Time 0.200 (0.224) Data 0.046 (0.076) Loss 2.5687 (2.8163) Prec@1 42.969 (38.370) Prec@5 67.578 (64.176)
Epoch: [23][3960/5005] Time 0.213 (0.224) Data 0.044 (0.076) Loss 2.6928 (2.8163) Prec@1 39.062 (38.371) Prec@5 66.797 (64.177)
Epoch: [23][3970/5005] Time 0.579 (0.225) Data 0.489 (0.076) Loss 2.7952 (2.8162) Prec@1 37.109 (38.369) Prec@5 64.062 (64.177)
Epoch: [23][3980/5005] Time 0.201 (0.224) Data 0.040 (0.076) Loss 2.5379 (2.8161) Prec@1 44.141 (38.370) Prec@5 69.531 (64.179)
Epoch: [23][3990/5005] Time 0.204 (0.224) Data 0.049 (0.076) Loss 2.9581 (2.8161) Prec@1 36.328 (38.368) Prec@5 61.719 (64.180)
Epoch: [23][4000/5005] Time 0.205 (0.224) Data 0.041 (0.076) Loss 2.7840 (2.8161) Prec@1 39.844 (38.366) Prec@5 66.406 (64.182)
Epoch: [23][4010/5005] Time 0.218 (0.224) Data 0.042 (0.076) Loss 2.9196 (2.8160) Prec@1 39.453 (38.369) Prec@5 62.500 (64.185)
Epoch: [23][4020/5005] Time 0.515 (0.224) Data 0.438 (0.076) Loss 2.9314 (2.8160) Prec@1 39.062 (38.368) Prec@5 65.234 (64.183)
Epoch: [23][4030/5005] Time 0.427 (0.224) Data 0.344 (0.076) Loss 3.0615 (2.8163) Prec@1 33.203 (38.365) Prec@5 59.766 (64.178)
Epoch: [23][4040/5005] Time 0.195 (0.224) Data 0.106 (0.076) Loss 2.9916 (2.8164) Prec@1 41.797 (38.364) Prec@5 60.156 (64.175)
Epoch: [23][4050/5005] Time 0.206 (0.224) Data 0.048 (0.076) Loss 2.9862 (2.8164) Prec@1 35.938 (38.365) Prec@5 60.938 (64.176)
Epoch: [23][4060/5005] Time 0.255 (0.224) Data 0.172 (0.076) Loss 2.7881 (2.8165) Prec@1 39.453 (38.363) Prec@5 63.281 (64.176)
Epoch: [23][4070/5005] Time 0.197 (0.224) Data 0.056 (0.076) Loss 2.9436 (2.8165) Prec@1 37.109 (38.361) Prec@5 64.453 (64.177)
Epoch: [23][4080/5005] Time 0.206 (0.225) Data 0.049 (0.076) Loss 2.8546 (2.8166) Prec@1 34.375 (38.361) Prec@5 62.109 (64.176)
Epoch: [23][4090/5005] Time 0.201 (0.224) Data 0.047 (0.076) Loss 2.8213 (2.8166) Prec@1 37.109 (38.359) Prec@5 63.672 (64.176)
Epoch: [23][4100/5005] Time 0.195 (0.224) Data 0.057 (0.076) Loss 2.6850 (2.8165) Prec@1 37.891 (38.358) Prec@5 67.578 (64.173)
Epoch: [23][4110/5005] Time 0.193 (0.224) Data 0.049 (0.076) Loss 2.9575 (2.8165) Prec@1 35.547 (38.357) Prec@5 60.156 (64.174)
Epoch: [23][4120/5005] Time 0.195 (0.224) Data 0.042 (0.076) Loss 2.8618 (2.8165) Prec@1 37.891 (38.358) Prec@5 63.281 (64.174)
Epoch: [23][4130/5005] Time 0.212 (0.224) Data 0.044 (0.076) Loss 3.1993 (2.8165) Prec@1 30.469 (38.359) Prec@5 55.469 (64.174)
Epoch: [23][4140/5005] Time 0.302 (0.224) Data 0.217 (0.076) Loss 2.8343 (2.8164) Prec@1 39.844 (38.363) Prec@5 65.234 (64.176)
Epoch: [23][4150/5005] Time 0.202 (0.224) Data 0.044 (0.076) Loss 3.0446 (2.8165) Prec@1 35.156 (38.361) Prec@5 60.156 (64.175)
Epoch: [23][4160/5005] Time 0.198 (0.224) Data 0.046 (0.076) Loss 2.8793 (2.8167) Prec@1 35.938 (38.357) Prec@5 66.406 (64.173)
Epoch: [23][4170/5005] Time 0.197 (0.224) Data 0.042 (0.076) Loss 2.7909 (2.8166) Prec@1 37.891 (38.358) Prec@5 62.891 (64.174)
Epoch: [23][4180/5005] Time 0.193 (0.224) Data 0.045 (0.076) Loss 2.6710 (2.8165) Prec@1 42.578 (38.363) Prec@5 69.531 (64.175)
Epoch: [23][4190/5005] Time 0.202 (0.224) Data 0.055 (0.076) Loss 2.7368 (2.8166) Prec@1 36.719 (38.363) Prec@5 61.328 (64.172)
Epoch: [23][4200/5005] Time 0.195 (0.224) Data 0.045 (0.076) Loss 2.7024 (2.8166) Prec@1 41.016 (38.362) Prec@5 66.406 (64.171)
Epoch: [23][4210/5005] Time 0.198 (0.224) Data 0.051 (0.076) Loss 2.8042 (2.8165) Prec@1 32.812 (38.360) Prec@5 65.234 (64.170)
Epoch: [23][4220/5005] Time 0.486 (0.225) Data 0.404 (0.077) Loss 3.0362 (2.8167) Prec@1 30.859 (38.356) Prec@5 59.375 (64.166)
Epoch: [23][4230/5005] Time 0.204 (0.225) Data 0.045 (0.077) Loss 2.8728 (2.8167) Prec@1 38.281 (38.355) Prec@5 63.672 (64.165)
Epoch: [23][4240/5005] Time 0.213 (0.225) Data 0.050 (0.077) Loss 2.7758 (2.8167) Prec@1 34.375 (38.354) Prec@5 64.844 (64.164)
Epoch: [23][4250/5005] Time 0.205 (0.225) Data 0.044 (0.077) Loss 2.6060 (2.8166) Prec@1 42.188 (38.355) Prec@5 68.359 (64.167)
Epoch: [23][4260/5005] Time 0.207 (0.225) Data 0.041 (0.076) Loss 2.8657 (2.8166) Prec@1 36.719 (38.356) Prec@5 65.625 (64.168)
Epoch: [23][4270/5005] Time 0.218 (0.224) Data 0.123 (0.076) Loss 2.9592 (2.8167) Prec@1 35.547 (38.353) Prec@5 64.453 (64.166)
Epoch: [23][4280/5005] Time 0.194 (0.224) Data 0.061 (0.076) Loss 2.9005 (2.8167) Prec@1 39.453 (38.356) Prec@5 61.328 (64.167)
Epoch: [23][4290/5005] Time 0.196 (0.224) Data 0.047 (0.076) Loss 3.0239 (2.8167) Prec@1 39.844 (38.355) Prec@5 60.156 (64.164)
Epoch: [23][4300/5005] Time 0.204 (0.224) Data 0.041 (0.076) Loss 2.6464 (2.8166) Prec@1 42.188 (38.359) Prec@5 65.625 (64.165)
Epoch: [23][4310/5005] Time 0.202 (0.224) Data 0.039 (0.076) Loss 2.7536 (2.8166) Prec@1 41.406 (38.359) Prec@5 64.453 (64.165)
Epoch: [23][4320/5005] Time 0.207 (0.224) Data 0.119 (0.076) Loss 2.8039 (2.8166) Prec@1 38.281 (38.362) Prec@5 66.406 (64.165)
Epoch: [23][4330/5005] Time 0.206 (0.224) Data 0.046 (0.076) Loss 2.6487 (2.8166) Prec@1 38.672 (38.362) Prec@5 65.234 (64.166)
Epoch: [23][4340/5005] Time 0.205 (0.224) Data 0.045 (0.076) Loss 2.9525 (2.8167) Prec@1 35.938 (38.360) Prec@5 58.594 (64.164)
Epoch: [23][4350/5005] Time 0.208 (0.224) Data 0.045 (0.076) Loss 2.9190 (2.8168) Prec@1 36.719 (38.358) Prec@5 64.453 (64.165)
Epoch: [23][4360/5005] Time 0.197 (0.224) Data 0.055 (0.076) Loss 2.6955 (2.8167) Prec@1 41.406 (38.358) Prec@5 62.891 (64.164)
Epoch: [23][4370/5005] Time 0.208 (0.224) Data 0.042 (0.076) Loss 2.8295 (2.8168) Prec@1 39.844 (38.359) Prec@5 63.281 (64.164)
Epoch: [23][4380/5005] Time 0.202 (0.224) Data 0.044 (0.076) Loss 2.9695 (2.8167) Prec@1 38.281 (38.359) Prec@5 61.328 (64.165)
Epoch: [23][4390/5005] Time 0.209 (0.224) Data 0.053 (0.077) Loss 3.0243 (2.8167) Prec@1 35.547 (38.361) Prec@5 60.938 (64.167)
Epoch: [23][4400/5005] Time 0.201 (0.224) Data 0.054 (0.077) Loss 2.7136 (2.8167) Prec@1 41.797 (38.362) Prec@5 65.234 (64.165)
Epoch: [23][4410/5005] Time 0.203 (0.224) Data 0.051 (0.077) Loss 2.7287 (2.8168) Prec@1 39.062 (38.359) Prec@5 68.359 (64.162)
Epoch: [23][4420/5005] Time 0.194 (0.224) Data 0.047 (0.077) Loss 2.4045 (2.8166) Prec@1 50.391 (38.363) Prec@5 70.703 (64.165)
Epoch: [23][4430/5005] Time 0.201 (0.224) Data 0.040 (0.077) Loss 2.8228 (2.8165) Prec@1 37.500 (38.367) Prec@5 63.281 (64.167)
Epoch: [23][4440/5005] Time 0.199 (0.224) Data 0.040 (0.077) Loss 2.8590 (2.8165) Prec@1 37.109 (38.367) Prec@5 66.016 (64.167)
Epoch: [23][4450/5005] Time 0.195 (0.224) Data 0.058 (0.077) Loss 2.7635 (2.8166) Prec@1 41.797 (38.366) Prec@5 63.281 (64.167)
Epoch: [23][4460/5005] Time 0.213 (0.224) Data 0.050 (0.077) Loss 3.0175 (2.8165) Prec@1 35.156 (38.365) Prec@5 61.328 (64.168)
Epoch: [23][4470/5005] Time 0.206 (0.224) Data 0.039 (0.077) Loss 2.7777 (2.8165) Prec@1 37.891 (38.367) Prec@5 64.844 (64.169)
Epoch: [23][4480/5005] Time 0.202 (0.224) Data 0.044 (0.077) Loss 2.5360 (2.8166) Prec@1 42.578 (38.366) Prec@5 65.234 (64.167)
Epoch: [23][4490/5005] Time 0.195 (0.224) Data 0.047 (0.077) Loss 2.8739 (2.8168) Prec@1 39.844 (38.364) Prec@5 63.281 (64.163)
Epoch: [23][4500/5005] Time 0.198 (0.225) Data 0.044 (0.077) Loss 2.9060 (2.8169) Prec@1 35.156 (38.363) Prec@5 64.844 (64.163)
Epoch: [23][4510/5005] Time 0.199 (0.225) Data 0.054 (0.077) Loss 2.7299 (2.8169) Prec@1 42.578 (38.363) Prec@5 65.234 (64.161)
Epoch: [23][4520/5005] Time 0.198 (0.225) Data 0.045 (0.077) Loss 2.7922 (2.8169) Prec@1 41.016 (38.364) Prec@5 64.844 (64.162)
Epoch: [23][4530/5005] Time 0.292 (0.225) Data 0.207 (0.077) Loss 2.6984 (2.8168) Prec@1 39.062 (38.365) Prec@5 66.016 (64.162)
Epoch: [23][4540/5005] Time 0.205 (0.225) Data 0.042 (0.077) Loss 3.0065 (2.8170) Prec@1 36.719 (38.361) Prec@5 62.109 (64.161)
Epoch: [23][4550/5005] Time 0.191 (0.225) Data 0.048 (0.077) Loss 2.7321 (2.8170) Prec@1 43.359 (38.359) Prec@5 65.625 (64.161)
Epoch: [23][4560/5005] Time 0.471 (0.225) Data 0.383 (0.077) Loss 2.7206 (2.8169) Prec@1 42.578 (38.361) Prec@5 67.188 (64.163)
Epoch: [23][4570/5005] Time 0.200 (0.225) Data 0.059 (0.077) Loss 2.7797 (2.8168) Prec@1 41.797 (38.363) Prec@5 67.188 (64.164)
Epoch: [23][4580/5005] Time 0.199 (0.225) Data 0.044 (0.077) Loss 2.9546 (2.8168) Prec@1 32.812 (38.362) Prec@5 60.938 (64.164)
Epoch: [23][4590/5005] Time 0.211 (0.224) Data 0.091 (0.077) Loss 2.6095 (2.8168) Prec@1 39.453 (38.359) Prec@5 69.141 (64.163)
Epoch: [23][4600/5005] Time 0.314 (0.224) Data 0.224 (0.077) Loss 2.4976 (2.8169) Prec@1 46.484 (38.358) Prec@5 67.578 (64.161)
Epoch: [23][4610/5005] Time 0.213 (0.224) Data 0.044 (0.077) Loss 2.5259 (2.8168) Prec@1 43.359 (38.361) Prec@5 69.141 (64.163)
Epoch: [23][4620/5005] Time 0.210 (0.224) Data 0.050 (0.077) Loss 2.5708 (2.8167) Prec@1 42.578 (38.362) Prec@5 66.797 (64.164)
Epoch: [23][4630/5005] Time 0.217 (0.224) Data 0.049 (0.077) Loss 2.6308 (2.8167) Prec@1 40.625 (38.363) Prec@5 67.969 (64.166)
Epoch: [23][4640/5005] Time 0.192 (0.224) Data 0.060 (0.077) Loss 2.7739 (2.8166) Prec@1 39.453 (38.363) Prec@5 66.797 (64.167)
Epoch: [23][4650/5005] Time 0.204 (0.224) Data 0.046 (0.077) Loss 2.8628 (2.8167) Prec@1 36.328 (38.364) Prec@5 62.500 (64.168)
Epoch: [23][4660/5005] Time 0.196 (0.224) Data 0.084 (0.077) Loss 3.0175 (2.8166) Prec@1 37.500 (38.364) Prec@5 58.594 (64.168)
Epoch: [23][4670/5005] Time 0.202 (0.224) Data 0.045 (0.077) Loss 2.7544 (2.8165) Prec@1 37.109 (38.366) Prec@5 62.891 (64.169)
Epoch: [23][4680/5005] Time 0.195 (0.225) Data 0.049 (0.077) Loss 2.7456 (2.8165) Prec@1 38.281 (38.365) Prec@5 65.625 (64.167)
Epoch: [23][4690/5005] Time 0.204 (0.224) Data 0.039 (0.077) Loss 2.7853 (2.8165) Prec@1 35.938 (38.364) Prec@5 64.453 (64.169)
Epoch: [23][4700/5005] Time 0.204 (0.225) Data 0.129 (0.077) Loss 2.6083 (2.8166) Prec@1 41.406 (38.365) Prec@5 67.969 (64.168)
Epoch: [23][4710/5005] Time 0.197 (0.225) Data 0.045 (0.077) Loss 2.7069 (2.8164) Prec@1 39.062 (38.366) Prec@5 65.234 (64.171)
Epoch: [23][4720/5005] Time 0.197 (0.225) Data 0.049 (0.077) Loss 2.5987 (2.8164) Prec@1 43.359 (38.367) Prec@5 66.797 (64.172)
Epoch: [23][4730/5005] Time 0.201 (0.225) Data 0.044 (0.077) Loss 2.7849 (2.8166) Prec@1 38.672 (38.363) Prec@5 63.281 (64.168)
Epoch: [23][4740/5005] Time 0.206 (0.225) Data 0.047 (0.077) Loss 2.7481 (2.8165) Prec@1 38.281 (38.364) Prec@5 64.844 (64.171)
Epoch: [23][4750/5005] Time 0.208 (0.225) Data 0.053 (0.077) Loss 2.8430 (2.8165) Prec@1 40.625 (38.364) Prec@5 63.281 (64.172)
Epoch: [23][4760/5005] Time 0.198 (0.224) Data 0.044 (0.077) Loss 3.0599 (2.8163) Prec@1 32.031 (38.367) Prec@5 59.766 (64.174)
Epoch: [23][4770/5005] Time 0.197 (0.225) Data 0.043 (0.077) Loss 2.7980 (2.8164) Prec@1 40.625 (38.366) Prec@5 64.062 (64.174)
Epoch: [23][4780/5005] Time 0.198 (0.224) Data 0.044 (0.077) Loss 2.8228 (2.8164) Prec@1 38.672 (38.365) Prec@5 66.797 (64.175)
Epoch: [23][4790/5005] Time 0.203 (0.225) Data 0.041 (0.077) Loss 3.0951 (2.8165) Prec@1 34.766 (38.366) Prec@5 62.109 (64.175)
Epoch: [23][4800/5005] Time 0.209 (0.224) Data 0.048 (0.077) Loss 3.0077 (2.8164) Prec@1 32.422 (38.364) Prec@5 62.891 (64.176)
Epoch: [23][4810/5005] Time 0.204 (0.225) Data 0.046 (0.077) Loss 2.9657 (2.8163) Prec@1 37.500 (38.366) Prec@5 63.281 (64.177)
Epoch: [23][4820/5005] Time 0.200 (0.225) Data 0.043 (0.077) Loss 3.0331 (2.8162) Prec@1 32.031 (38.367) Prec@5 61.328 (64.178)
Epoch: [23][4830/5005] Time 0.471 (0.225) Data 0.378 (0.077) Loss 2.8217 (2.8161) Prec@1 35.156 (38.369) Prec@5 64.062 (64.178)
Epoch: [23][4840/5005] Time 0.806 (0.225) Data 0.718 (0.077) Loss 2.7356 (2.8162) Prec@1 41.016 (38.365) Prec@5 66.016 (64.175)
Epoch: [23][4850/5005] Time 0.197 (0.225) Data 0.046 (0.077) Loss 2.8715 (2.8164) Prec@1 34.766 (38.364) Prec@5 60.938 (64.173)
Epoch: [23][4860/5005] Time 0.203 (0.225) Data 0.046 (0.077) Loss 2.9074 (2.8163) Prec@1 33.594 (38.363) Prec@5 62.109 (64.172)
Epoch: [23][4870/5005] Time 0.197 (0.224) Data 0.059 (0.077) Loss 2.7620 (2.8164) Prec@1 41.016 (38.362) Prec@5 62.500 (64.168)
Epoch: [23][4880/5005] Time 0.410 (0.224) Data 0.324 (0.077) Loss 2.6971 (2.8164) Prec@1 36.328 (38.361) Prec@5 63.281 (64.167)
Epoch: [23][4890/5005] Time 0.208 (0.224) Data 0.047 (0.077) Loss 2.9397 (2.8163) Prec@1 35.156 (38.360) Prec@5 60.156 (64.167)
Epoch: [23][4900/5005] Time 0.192 (0.224) Data 0.064 (0.077) Loss 2.6250 (2.8163) Prec@1 41.797 (38.362) Prec@5 67.578 (64.169)
Epoch: [23][4910/5005] Time 0.378 (0.224) Data 0.292 (0.077) Loss 2.7814 (2.8161) Prec@1 35.547 (38.362) Prec@5 66.797 (64.173)
Epoch: [23][4920/5005] Time 0.203 (0.224) Data 0.047 (0.077) Loss 2.7144 (2.8162) Prec@1 37.500 (38.359) Prec@5 67.188 (64.173)
Epoch: [23][4930/5005] Time 0.507 (0.225) Data 0.420 (0.077) Loss 2.8163 (2.8161) Prec@1 37.891 (38.359) Prec@5 63.672 (64.176)
Epoch: [23][4940/5005] Time 0.195 (0.225) Data 0.047 (0.077) Loss 2.9774 (2.8162) Prec@1 38.672 (38.360) Prec@5 60.156 (64.172)
Epoch: [23][4950/5005] Time 0.200 (0.225) Data 0.068 (0.077) Loss 2.6674 (2.8163) Prec@1 38.672 (38.360) Prec@5 68.359 (64.171)
Epoch: [23][4960/5005] Time 0.199 (0.225) Data 0.046 (0.077) Loss 2.9482 (2.8163) Prec@1 37.109 (38.358) Prec@5 64.453 (64.170)
Epoch: [23][4970/5005] Time 0.196 (0.224) Data 0.054 (0.077) Loss 2.9300 (2.8162) Prec@1 33.594 (38.357) Prec@5 64.062 (64.173)
Epoch: [23][4980/5005] Time 0.201 (0.225) Data 0.045 (0.077) Loss 2.9476 (2.8162) Prec@1 33.594 (38.356) Prec@5 62.109 (64.174)
Epoch: [23][4990/5005] Time 0.201 (0.224) Data 0.027 (0.077) Loss 2.9169 (2.8161) Prec@1 36.328 (38.358) Prec@5 58.594 (64.173)
Epoch: [23][5000/5005] Time 0.198 (0.225) Data 0.027 (0.077) Loss 2.8745 (2.8161) Prec@1 37.891 (38.356) Prec@5 64.453 (64.174)
Test: [0/196] Time 2.602 (2.602) Loss 2.6877 (2.6877) Prec@1 42.578 (42.578) Prec@5 66.406 (66.406)
Test: [10/196] Time 0.044 (0.391) Loss 2.7505 (2.8368) Prec@1 42.969 (37.784) Prec@5 65.234 (64.276)
Test: [20/196] Time 0.044 (0.301) Loss 2.7197 (2.8585) Prec@1 42.578 (37.760) Prec@5 64.844 (63.560)
Test: [30/196] Time 0.047 (0.265) Loss 2.7022 (2.8697) Prec@1 41.016 (37.538) Prec@5 63.281 (62.966)
Test: [40/196] Time 0.882 (0.267) Loss 2.6726 (2.8694) Prec@1 42.578 (37.624) Prec@5 67.188 (63.091)
Test: [50/196] Time 0.095 (0.266) Loss 2.9745 (2.8723) Prec@1 39.062 (37.783) Prec@5 64.453 (63.067)
Test: [60/196] Time 0.044 (0.259) Loss 2.7435 (2.8565) Prec@1 40.625 (38.096) Prec@5 65.625 (63.403)
Test: [70/196] Time 0.045 (0.246) Loss 2.8845 (2.8500) Prec@1 35.547 (38.089) Prec@5 63.281 (63.589)
Test: [80/196] Time 1.223 (0.253) Loss 2.7579 (2.8533) Prec@1 42.188 (38.108) Prec@5 67.578 (63.628)
Test: [90/196] Time 0.384 (0.246) Loss 2.9750 (2.8548) Prec@1 35.156 (38.097) Prec@5 60.938 (63.642)
Test: [100/196] Time 0.048 (0.241) Loss 2.8806 (2.8533) Prec@1 41.406 (38.212) Prec@5 64.844 (63.672)
Test: [110/196] Time 0.044 (0.236) Loss 3.0597 (2.8557) Prec@1 33.594 (38.250) Prec@5 58.594 (63.633)
Test: [120/196] Time 0.131 (0.236) Loss 2.7307 (2.8558) Prec@1 37.109 (38.162) Prec@5 65.625 (63.623)
Test: [130/196] Time 0.708 (0.237) Loss 2.5661 (2.8528) Prec@1 40.625 (38.231) Prec@5 67.578 (63.672)
Test: [140/196] Time 0.238 (0.237) Loss 2.6226 (2.8536) Prec@1 42.188 (38.220) Prec@5 66.406 (63.669)
Test: [150/196] Time 0.047 (0.234) Loss 2.5372 (2.8511) Prec@1 38.672 (38.232) Prec@5 70.703 (63.747)
Test: [160/196] Time 0.044 (0.233) Loss 2.7898 (2.8491) Prec@1 42.969 (38.262) Prec@5 64.844 (63.740)
Test: [170/196] Time 0.378 (0.233) Loss 2.7021 (2.8513) Prec@1 40.625 (38.174) Prec@5 65.234 (63.692)
Test: [180/196] Time 0.367 (0.234) Loss 3.0516 (2.8557) Prec@1 35.156 (38.119) Prec@5 58.984 (63.590)
Test: [190/196] Time 0.197 (0.232) Loss 3.1676 (2.8597) Prec@1 33.203 (38.034) Prec@5 58.203 (63.482)
* Prec@1 37.982 Prec@5 63.498
Learning rate: 0.001
Epoch: [24][0/5005] Time 2.306 (2.306) Data 2.208 (2.208) Loss 2.6176 (2.6176) Prec@1 41.406 (41.406) Prec@5 68.359 (68.359)
Epoch: [24][10/5005] Time 0.200 (0.391) Data 0.052 (0.251) Loss 2.7070 (2.8150) Prec@1 41.797 (38.033) Prec@5 67.578 (64.986)
Epoch: [24][20/5005] Time 0.205 (0.300) Data 0.046 (0.155) Loss 2.9868 (2.8240) Prec@1 36.719 (37.630) Prec@5 63.281 (64.490)
Epoch: [24][30/5005] Time 0.195 (0.267) Data 0.047 (0.120) Loss 2.8289 (2.7917) Prec@1 36.719 (38.168) Prec@5 61.328 (64.617)
Epoch: [24][40/5005] Time 0.195 (0.250) Data 0.051 (0.102) Loss 2.6463 (2.7929) Prec@1 40.625 (38.300) Prec@5 68.359 (64.596)
Epoch: [24][50/5005] Time 0.204 (0.240) Data 0.055 (0.092) Loss 2.6241 (2.7893) Prec@1 41.406 (38.434) Prec@5 70.312 (64.805)
Epoch: [24][60/5005] Time 0.209 (0.234) Data 0.065 (0.086) Loss 2.7870 (2.7944) Prec@1 40.234 (38.416) Prec@5 65.625 (64.793)
Epoch: [24][70/5005] Time 0.199 (0.229) Data 0.042 (0.080) Loss 2.7727 (2.8027) Prec@1 35.547 (38.226) Prec@5 64.453 (64.580)
Epoch: [24][80/5005] Time 0.199 (0.226) Data 0.041 (0.076) Loss 2.6119 (2.7971) Prec@1 41.016 (38.354) Prec@5 69.141 (64.617)
Epoch: [24][90/5005] Time 0.203 (0.223) Data 0.054 (0.073) Loss 2.8260 (2.7933) Prec@1 40.234 (38.492) Prec@5 66.016 (64.805)
Epoch: [24][100/5005] Time 0.199 (0.221) Data 0.043 (0.071) Loss 2.6703 (2.7978) Prec@1 40.234 (38.401) Prec@5 66.797 (64.743)
Epoch: [24][110/5005] Time 0.199 (0.219) Data 0.047 (0.068) Loss 2.7915 (2.7993) Prec@1 39.844 (38.461) Prec@5 67.188 (64.742)
Epoch: [24][120/5005] Time 0.201 (0.218) Data 0.052 (0.067) Loss 2.8486 (2.8026) Prec@1 33.594 (38.420) Prec@5 65.625 (64.631)
Epoch: [24][130/5005] Time 0.191 (0.216) Data 0.081 (0.066) Loss 2.7633 (2.8024) Prec@1 42.969 (38.514) Prec@5 64.062 (64.644)
Epoch: [24][140/5005] Time 0.199 (0.217) Data 0.041 (0.067) Loss 2.8287 (2.8013) Prec@1 34.766 (38.461) Prec@5 64.844 (64.691)
Epoch: [24][150/5005] Time 0.206 (0.219) Data 0.124 (0.071) Loss 3.0248 (2.8038) Prec@1 34.375 (38.426) Prec@5 58.984 (64.668)
Epoch: [24][160/5005] Time 0.201 (0.224) Data 0.045 (0.077) Loss 2.6548 (2.8063) Prec@1 41.016 (38.422) Prec@5 67.578 (64.676)
Epoch: [24][170/5005] Time 0.199 (0.222) Data 0.048 (0.075) Loss 2.9278 (2.8076) Prec@1 37.500 (38.423) Prec@5 62.109 (64.668)
Epoch: [24][180/5005] Time 0.199 (0.223) Data 0.106 (0.078) Loss 2.9566 (2.8081) Prec@1 37.500 (38.432) Prec@5 61.328 (64.686)
Epoch: [24][190/5005] Time 0.213 (0.224) Data 0.091 (0.080) Loss 2.8741 (2.8132) Prec@1 33.984 (38.322) Prec@5 64.062 (64.580)
Epoch: [24][200/5005] Time 0.212 (0.225) Data 0.048 (0.081) Loss 3.0058 (2.8128) Prec@1 33.984 (38.299) Prec@5 62.891 (64.552)
Epoch: [24][210/5005] Time 0.218 (0.225) Data 0.048 (0.081) Loss 2.7044 (2.8129) Prec@1 40.625 (38.279) Prec@5 65.625 (64.559)
Epoch: [24][220/5005] Time 0.208 (0.226) Data 0.045 (0.081) Loss 2.8299 (2.8126) Prec@1 36.719 (38.315) Prec@5 63.672 (64.538)
Epoch: [24][230/5005] Time 0.524 (0.227) Data 0.439 (0.082) Loss 2.8734 (2.8130) Prec@1 33.203 (38.337) Prec@5 59.375 (64.529)
Epoch: [24][240/5005] Time 0.206 (0.229) Data 0.067 (0.084) Loss 2.7257 (2.8125) Prec@1 40.234 (38.301) Prec@5 65.625 (64.523)
Epoch: [24][250/5005] Time 0.216 (0.228) Data 0.049 (0.083) Loss 2.9000 (2.8103) Prec@1 37.500 (38.359) Prec@5 66.016 (64.529)
Epoch: [24][260/5005] Time 0.202 (0.228) Data 0.091 (0.082) Loss 2.6665 (2.8087) Prec@1 37.500 (38.399) Prec@5 71.875 (64.565)
Epoch: [24][270/5005] Time 0.213 (0.228) Data 0.042 (0.083) Loss 2.8511 (2.8073) Prec@1 38.672 (38.412) Prec@5 62.891 (64.560)
Epoch: [24][280/5005] Time 0.211 (0.229) Data 0.054 (0.085) Loss 3.2465 (2.8102) Prec@1 33.594 (38.360) Prec@5 58.594 (64.517)
Epoch: [24][290/5005] Time 0.199 (0.229) Data 0.048 (0.085) Loss 2.6820 (2.8119) Prec@1 38.281 (38.316) Prec@5 67.969 (64.480)
Epoch: [24][300/5005] Time 0.206 (0.229) Data 0.046 (0.087) Loss 2.4815 (2.8113) Prec@1 47.266 (38.338) Prec@5 71.875 (64.527)
Epoch: [24][310/5005] Time 0.844 (0.231) Data 0.755 (0.089) Loss 2.7544 (2.8084) Prec@1 37.500 (38.367) Prec@5 67.188 (64.586)
Epoch: [24][320/5005] Time 0.192 (0.232) Data 0.063 (0.090) Loss 3.0388 (2.8100) Prec@1 37.500 (38.373) Prec@5 61.328 (64.557)
Epoch: [24][330/5005] Time 0.205 (0.232) Data 0.068 (0.090) Loss 2.4463 (2.8084) Prec@1 44.141 (38.378) Prec@5 69.141 (64.565)
Epoch: [24][340/5005] Time 0.204 (0.232) Data 0.050 (0.089) Loss 2.9656 (2.8112) Prec@1 36.719 (38.341) Prec@5 64.062 (64.498)
Epoch: [24][350/5005] Time 0.418 (0.232) Data 0.335 (0.090) Loss 3.0189 (2.8108) Prec@1 34.766 (38.336) Prec@5 60.938 (64.494)
Epoch: [24][360/5005] Time 0.209 (0.232) Data 0.046 (0.089) Loss 2.8774 (2.8107) Prec@1 36.719 (38.319) Prec@5 63.281 (64.488)
Epoch: [24][370/5005] Time 0.215 (0.231) Data 0.048 (0.088) Loss 2.7743 (2.8081) Prec@1 38.281 (38.359) Prec@5 63.281 (64.497)
Epoch: [24][380/5005] Time 0.210 (0.231) Data 0.050 (0.086) Loss 2.9076 (2.8090) Prec@1 34.766 (38.310) Prec@5 64.062 (64.515)
Epoch: [24][390/5005] Time 0.218 (0.230) Data 0.043 (0.085) Loss 2.7785 (2.8094) Prec@1 40.625 (38.296) Prec@5 66.797 (64.501)
Epoch: [24][400/5005] Time 0.208 (0.230) Data 0.052 (0.084) Loss 2.7112 (2.8088) Prec@1 37.109 (38.286) Prec@5 67.969 (64.523)
Epoch: [24][410/5005] Time 0.225 (0.229) Data 0.045 (0.083) Loss 2.5112 (2.8084) Prec@1 38.672 (38.288) Prec@5 72.266 (64.503)
Epoch: [24][420/5005] Time 0.216 (0.229) Data 0.042 (0.083) Loss 2.7471 (2.8081) Prec@1 39.062 (38.287) Prec@5 66.016 (64.501)
Epoch: [24][430/5005] Time 0.206 (0.229) Data 0.042 (0.082) Loss 2.6786 (2.8073) Prec@1 40.625 (38.312) Prec@5 66.016 (64.509)
Epoch: [24][440/5005] Time 0.220 (0.228) Data 0.043 (0.081) Loss 2.6781 (2.8071) Prec@1 39.062 (38.296) Prec@5 64.453 (64.520)
Epoch: [24][450/5005] Time 0.213 (0.228) Data 0.044 (0.080) Loss 2.6057 (2.8081) Prec@1 39.844 (38.263) Prec@5 67.578 (64.520)
Epoch: [24][460/5005] Time 0.210 (0.228) Data 0.043 (0.079) Loss 2.9422 (2.8087) Prec@1 31.641 (38.241) Prec@5 59.375 (64.500)
Epoch: [24][470/5005] Time 0.209 (0.227) Data 0.052 (0.079) Loss 2.7670 (2.8090) Prec@1 35.156 (38.225) Prec@5 62.109 (64.451)
Epoch: [24][480/5005] Time 0.211 (0.227) Data 0.044 (0.078) Loss 2.7984 (2.8089) Prec@1 40.234 (38.220) Prec@5 63.281 (64.444)
Epoch: [24][490/5005] Time 0.214 (0.227) Data 0.041 (0.078) Loss 2.8429 (2.8085) Prec@1 38.672 (38.248) Prec@5 64.844 (64.432)
Epoch: [24][500/5005] Time 0.210 (0.226) Data 0.045 (0.077) Loss 2.9486 (2.8101) Prec@1 38.281 (38.250) Prec@5 62.109 (64.422)
Epoch: [24][510/5005] Time 0.211 (0.226) Data 0.042 (0.077) Loss 3.0595 (2.8106) Prec@1 36.328 (38.256) Prec@5 56.641 (64.396)
Epoch: [24][520/5005] Time 0.207 (0.226) Data 0.041 (0.076) Loss 2.8135 (2.8103) Prec@1 38.281 (38.254) Prec@5 62.109 (64.416)
Epoch: [24][530/5005] Time 0.214 (0.226) Data 0.052 (0.076) Loss 2.7058 (2.8104) Prec@1 40.625 (38.252) Prec@5 65.234 (64.397)
Epoch: [24][540/5005] Time 0.209 (0.225) Data 0.041 (0.075) Loss 2.8480 (2.8100) Prec@1 37.891 (38.268) Prec@5 63.672 (64.397)
Epoch: [24][550/5005] Time 0.217 (0.225) Data 0.042 (0.074) Loss 2.9111 (2.8098) Prec@1 35.938 (38.271) Prec@5 62.891 (64.394)
Epoch: [24][560/5005] Time 0.205 (0.225) Data 0.049 (0.074) Loss 2.7901 (2.8102) Prec@1 42.578 (38.278) Prec@5 64.062 (64.371)
Epoch: [24][570/5005] Time 0.213 (0.224) Data 0.051 (0.073) Loss 2.9128 (2.8111) Prec@1 37.109 (38.284) Prec@5 61.719 (64.353)
Epoch: [24][580/5005] Time 0.215 (0.224) Data 0.046 (0.073) Loss 2.8426 (2.8108) Prec@1 37.109 (38.274) Prec@5 60.547 (64.359)
Epoch: [24][590/5005] Time 0.201 (0.224) Data 0.041 (0.073) Loss 3.0006 (2.8116) Prec@1 32.812 (38.257) Prec@5 58.984 (64.321)
Epoch: [24][600/5005] Time 0.222 (0.224) Data 0.046 (0.072) Loss 2.7858 (2.8127) Prec@1 38.672 (38.234) Prec@5 63.672 (64.313)
Epoch: [24][610/5005] Time 0.200 (0.224) Data 0.043 (0.072) Loss 2.7505 (2.8123) Prec@1 40.234 (38.226) Prec@5 66.797 (64.313)
Epoch: [24][620/5005] Time 0.219 (0.223) Data 0.045 (0.071) Loss 2.6855 (2.8120) Prec@1 43.359 (38.247) Prec@5 66.797 (64.320)
Epoch: [24][630/5005] Time 0.218 (0.223) Data 0.041 (0.071) Loss 2.9546 (2.8118) Prec@1 34.375 (38.251) Prec@5 64.062 (64.326)
Epoch: [24][640/5005] Time 0.216 (0.223) Data 0.044 (0.071) Loss 2.6416 (2.8118) Prec@1 38.281 (38.247) Prec@5 66.406 (64.334)
Epoch: [24][650/5005] Time 0.222 (0.223) Data 0.041 (0.070) Loss 2.9677 (2.8131) Prec@1 38.281 (38.242) Prec@5 60.547 (64.323)
Epoch: [24][660/5005] Time 0.209 (0.223) Data 0.042 (0.070) Loss 2.9435 (2.8122) Prec@1 37.500 (38.264) Prec@5 64.844 (64.325)
Epoch: [24][670/5005] Time 0.209 (0.223) Data 0.045 (0.069) Loss 3.1071 (2.8121) Prec@1 31.641 (38.254) Prec@5 63.281 (64.329)
Epoch: [24][680/5005] Time 0.215 (0.222) Data 0.046 (0.069) Loss 2.8721 (2.8125) Prec@1 36.719 (38.252) Prec@5 62.891 (64.330)
Epoch: [24][690/5005] Time 0.213 (0.222) Data 0.048 (0.069) Loss 2.6588 (2.8119) Prec@1 40.234 (38.261) Prec@5 68.750 (64.339)
Epoch: [24][700/5005] Time 0.222 (0.222) Data 0.044 (0.068) Loss 2.7233 (2.8112) Prec@1 39.453 (38.265) Prec@5 66.016 (64.351)
Epoch: [24][710/5005] Time 0.211 (0.222) Data 0.044 (0.068) Loss 2.5815 (2.8106) Prec@1 41.016 (38.282) Prec@5 65.625 (64.354)
Epoch: [24][720/5005] Time 0.209 (0.222) Data 0.044 (0.068) Loss 2.8528 (2.8102) Prec@1 37.109 (38.288) Prec@5 65.234 (64.352)
Epoch: [24][730/5005] Time 0.214 (0.222) Data 0.045 (0.067) Loss 2.8641 (2.8103) Prec@1 41.406 (38.298) Prec@5 64.453 (64.350)
Epoch: [24][740/5005] Time 0.210 (0.221) Data 0.043 (0.067) Loss 2.8937 (2.8101) Prec@1 38.672 (38.313) Prec@5 61.719 (64.342)
Epoch: [24][750/5005] Time 0.213 (0.221) Data 0.044 (0.067) Loss 2.5299 (2.8099) Prec@1 42.188 (38.325) Prec@5 67.188 (64.338)
Epoch: [24][760/5005] Time 0.208 (0.221) Data 0.043 (0.067) Loss 2.9198 (2.8106) Prec@1 38.281 (38.309) Prec@5 64.453 (64.321)
Epoch: [24][770/5005] Time 0.221 (0.221) Data 0.046 (0.066) Loss 2.8721 (2.8095) Prec@1 36.328 (38.324) Prec@5 58.984 (64.334)
Epoch: [24][780/5005] Time 0.205 (0.221) Data 0.061 (0.066) Loss 2.8420 (2.8103) Prec@1 40.625 (38.328) Prec@5 63.672 (64.316)
Epoch: [24][790/5005] Time 0.205 (0.221) Data 0.048 (0.066) Loss 2.7716 (2.8100) Prec@1 39.453 (38.332) Prec@5 66.406 (64.337)
Epoch: [24][800/5005] Time 0.208 (0.221) Data 0.046 (0.066) Loss 2.5870 (2.8088) Prec@1 40.625 (38.350) Prec@5 70.703 (64.359)
Epoch: [24][810/5005] Time 0.209 (0.221) Data 0.062 (0.066) Loss 3.0048 (2.8091) Prec@1 34.766 (38.351) Prec@5 57.812 (64.352)
Epoch: [24][820/5005] Time 0.407 (0.221) Data 0.326 (0.067) Loss 2.9711 (2.8096) Prec@1 35.938 (38.339) Prec@5 59.766 (64.339)
Epoch: [24][830/5005] Time 0.203 (0.221) Data 0.047 (0.067) Loss 2.7145 (2.8100) Prec@1 41.406 (38.341) Prec@5 64.453 (64.320)
Epoch: [24][840/5005] Time 0.215 (0.221) Data 0.046 (0.068) Loss 2.6932 (2.8101) Prec@1 44.531 (38.342) Prec@5 68.359 (64.320)
Epoch: [24][850/5005] Time 0.198 (0.221) Data 0.047 (0.068) Loss 3.0304 (2.8095) Prec@1 33.594 (38.360) Prec@5 60.938 (64.320)
Epoch: [24][860/5005] Time 0.211 (0.221) Data 0.046 (0.068) Loss 2.8128 (2.8094) Prec@1 38.281 (38.367) Prec@5 63.672 (64.329)
Epoch: [24][870/5005] Time 0.199 (0.222) Data 0.046 (0.068) Loss 2.8599 (2.8085) Prec@1 37.109 (38.392) Prec@5 64.062 (64.345)
Epoch: [24][880/5005] Time 0.215 (0.221) Data 0.041 (0.068) Loss 2.7161 (2.8090) Prec@1 39.062 (38.389) Prec@5 62.891 (64.339)
Epoch: [24][890/5005] Time 0.202 (0.221) Data 0.054 (0.068) Loss 3.0124 (2.8086) Prec@1 34.766 (38.392) Prec@5 59.375 (64.343)
Epoch: [24][900/5005] Time 0.196 (0.221) Data 0.050 (0.069) Loss 2.5379 (2.8082) Prec@1 39.844 (38.386) Prec@5 69.922 (64.353)
Epoch: [24][910/5005] Time 0.202 (0.221) Data 0.054 (0.069) Loss 2.6378 (2.8077) Prec@1 39.062 (38.389) Prec@5 69.531 (64.359)
Epoch: [24][920/5005] Time 0.202 (0.222) Data 0.045 (0.069) Loss 2.7711 (2.8071) Prec@1 37.109 (38.407) Prec@5 65.625 (64.371)
Epoch: [24][930/5005] Time 0.204 (0.222) Data 0.040 (0.069) Loss 2.7438 (2.8069) Prec@1 42.188 (38.410) Prec@5 65.234 (64.374)
Epoch: [24][940/5005] Time 0.198 (0.223) Data 0.041 (0.071) Loss 2.6888 (2.8075) Prec@1 41.406 (38.414) Prec@5 68.750 (64.366)
Epoch: [24][950/5005] Time 0.188 (0.223) Data 0.054 (0.071) Loss 2.9683 (2.8086) Prec@1 37.891 (38.399) Prec@5 64.062 (64.350)
Epoch: [24][960/5005] Time 0.421 (0.224) Data 0.339 (0.072) Loss 2.9993 (2.8088) Prec@1 36.719 (38.401) Prec@5 60.156 (64.343)
Epoch: [24][970/5005] Time 0.197 (0.224) Data 0.047 (0.072) Loss 2.6822 (2.8089) Prec@1 39.453 (38.392) Prec@5 67.188 (64.334)
Epoch: [24][980/5005] Time 0.232 (0.224) Data 0.143 (0.072) Loss 2.6478 (2.8081) Prec@1 41.016 (38.400) Prec@5 65.234 (64.341)
Epoch: [24][990/5005] Time 0.204 (0.224) Data 0.058 (0.072) Loss 2.7601 (2.8081) Prec@1 38.672 (38.393) Prec@5 63.672 (64.343)
Epoch: [24][1000/5005] Time 0.214 (0.224) Data 0.049 (0.072) Loss 2.7024 (2.8077) Prec@1 39.844 (38.391) Prec@5 70.703 (64.352)
Epoch: [24][1010/5005] Time 0.204 (0.223) Data 0.043 (0.072) Loss 2.8363 (2.8075) Prec@1 35.547 (38.388) Prec@5 66.016 (64.358)
Epoch: [24][1020/5005] Time 0.209 (0.223) Data 0.054 (0.071) Loss 2.6991 (2.8078) Prec@1 39.062 (38.385) Prec@5 64.844 (64.349)
Epoch: [24][1030/5005] Time 0.206 (0.223) Data 0.046 (0.071) Loss 2.7709 (2.8073) Prec@1 38.281 (38.395) Prec@5 63.672 (64.357)
Epoch: [24][1040/5005] Time 0.215 (0.223) Data 0.040 (0.071) Loss 2.9187 (2.8076) Prec@1 35.156 (38.394) Prec@5 60.938 (64.351)
Epoch: [24][1050/5005] Time 0.216 (0.223) Data 0.041 (0.071) Loss 2.9184 (2.8083) Prec@1 34.766 (38.365) Prec@5 58.203 (64.330)
Epoch: [24][1060/5005] Time 0.211 (0.223) Data 0.046 (0.070) Loss 2.9163 (2.8083) Prec@1 37.891 (38.370) Prec@5 62.500 (64.339)
Epoch: [24][1070/5005] Time 0.211 (0.223) Data 0.047 (0.070) Loss 2.8478 (2.8084) Prec@1 39.062 (38.381) Prec@5 65.625 (64.341)
Epoch: [24][1080/5005] Time 0.209 (0.222) Data 0.054 (0.070) Loss 2.9255 (2.8090) Prec@1 38.281 (38.379) Prec@5 62.891 (64.334)
Epoch: [24][1090/5005] Time 0.225 (0.222) Data 0.044 (0.070) Loss 2.7754 (2.8088) Prec@1 41.797 (38.387) Prec@5 66.016 (64.350)
Epoch: [24][1100/5005] Time 0.200 (0.222) Data 0.041 (0.070) Loss 2.6899 (2.8084) Prec@1 42.188 (38.386) Prec@5 67.578 (64.352)
Epoch: [24][1110/5005] Time 0.213 (0.222) Data 0.053 (0.070) Loss 2.8225 (2.8084) Prec@1 40.625 (38.400) Prec@5 63.672 (64.350)
Epoch: [24][1120/5005] Time 0.201 (0.222) Data 0.054 (0.069) Loss 2.6565 (2.8081) Prec@1 40.625 (38.398) Prec@5 68.359 (64.353)
Epoch: [24][1130/5005] Time 0.197 (0.222) Data 0.058 (0.069) Loss 2.9051 (2.8085) Prec@1 37.500 (38.389) Prec@5 64.062 (64.345)
Epoch: [24][1140/5005] Time 0.209 (0.222) Data 0.047 (0.069) Loss 2.8189 (2.8082) Prec@1 39.844 (38.401) Prec@5 67.188 (64.355)
Epoch: [24][1150/5005] Time 0.207 (0.222) Data 0.069 (0.069) Loss 2.6591 (2.8078) Prec@1 38.281 (38.411) Prec@5 64.062 (64.358)
Epoch: [24][1160/5005] Time 0.204 (0.221) Data 0.042 (0.069) Loss 2.7433 (2.8078) Prec@1 38.281 (38.412) Prec@5 67.969 (64.360)
Epoch: [24][1170/5005] Time 0.205 (0.221) Data 0.044 (0.068) Loss 2.7649 (2.8076) Prec@1 38.672 (38.422) Prec@5 66.016 (64.361)
Epoch: [24][1180/5005] Time 0.217 (0.221) Data 0.050 (0.068) Loss 3.0428 (2.8077) Prec@1 31.641 (38.409) Prec@5 60.156 (64.360)
Epoch: [24][1190/5005] Time 0.203 (0.221) Data 0.046 (0.069) Loss 2.7029 (2.8075) Prec@1 39.844 (38.411) Prec@5 66.406 (64.365)
Epoch: [24][1200/5005] Time 0.203 (0.221) Data 0.046 (0.069) Loss 2.7854 (2.8074) Prec@1 39.062 (38.415) Prec@5 64.062 (64.360)
Epoch: [24][1210/5005] Time 0.206 (0.221) Data 0.048 (0.068) Loss 2.9842 (2.8084) Prec@1 32.422 (38.398) Prec@5 62.109 (64.346)
Epoch: [24][1220/5005] Time 0.201 (0.221) Data 0.047 (0.068) Loss 2.7134 (2.8088) Prec@1 39.062 (38.390) Prec@5 64.844 (64.337)
Epoch: [24][1230/5005] Time 0.212 (0.221) Data 0.045 (0.069) Loss 2.7643 (2.8089) Prec@1 37.109 (38.379) Prec@5 68.750 (64.340)
Epoch: [24][1240/5005] Time 0.213 (0.221) Data 0.126 (0.069) Loss 2.8505 (2.8092) Prec@1 39.453 (38.374) Prec@5 64.062 (64.333)
Epoch: [24][1250/5005] Time 0.210 (0.221) Data 0.043 (0.069) Loss 3.1152 (2.8099) Prec@1 33.984 (38.362) Prec@5 56.250 (64.315)
Epoch: [24][1260/5005] Time 0.204 (0.221) Data 0.042 (0.069) Loss 2.4905 (2.8098) Prec@1 43.750 (38.361) Prec@5 69.141 (64.316)
Epoch: [24][1270/5005] Time 0.288 (0.221) Data 0.202 (0.069) Loss 2.9415 (2.8103) Prec@1 34.766 (38.349) Prec@5 64.453 (64.310)
Epoch: [24][1280/5005] Time 0.209 (0.222) Data 0.049 (0.070) Loss 2.8401 (2.8108) Prec@1 39.453 (38.345) Prec@5 65.234 (64.302)
Epoch: [24][1290/5005] Time 0.202 (0.222) Data 0.050 (0.070) Loss 2.4972 (2.8105) Prec@1 44.531 (38.356) Prec@5 68.750 (64.300)
Epoch: [24][1300/5005] Time 0.293 (0.222) Data 0.214 (0.070) Loss 2.6563 (2.8103) Prec@1 42.969 (38.363) Prec@5 65.234 (64.302)
Epoch: [24][1310/5005] Time 0.209 (0.222) Data 0.051 (0.070) Loss 2.7073 (2.8101) Prec@1 37.500 (38.361) Prec@5 64.844 (64.312)
Epoch: [24][1320/5005] Time 0.201 (0.222) Data 0.050 (0.070) Loss 2.9622 (2.8102) Prec@1 37.891 (38.368) Prec@5 61.719 (64.306)
Epoch: [24][1330/5005] Time 0.206 (0.222) Data 0.044 (0.070) Loss 2.9307 (2.8107) Prec@1 36.719 (38.364) Prec@5 62.109 (64.292)
Epoch: [24][1340/5005] Time 0.204 (0.222) Data 0.118 (0.070) Loss 2.7881 (2.8106) Prec@1 37.500 (38.366) Prec@5 64.062 (64.298)
Epoch: [24][1350/5005] Time 0.206 (0.222) Data 0.042 (0.070) Loss 3.1339 (2.8111) Prec@1 35.156 (38.352) Prec@5 59.766 (64.292)
Epoch: [24][1360/5005] Time 0.217 (0.222) Data 0.052 (0.070) Loss 2.7360 (2.8108) Prec@1 41.797 (38.359) Prec@5 64.844 (64.296)
Epoch: [24][1370/5005] Time 0.205 (0.222) Data 0.040 (0.071) Loss 2.9669 (2.8108) Prec@1 38.281 (38.365) Prec@5 62.500 (64.300)
Epoch: [24][1380/5005] Time 0.207 (0.222) Data 0.052 (0.070) Loss 2.8225 (2.8103) Prec@1 37.109 (38.371) Prec@5 66.797 (64.309)
Epoch: [24][1390/5005] Time 0.198 (0.222) Data 0.040 (0.070) Loss 2.6996 (2.8102) Prec@1 44.141 (38.385) Prec@5 64.453 (64.308)
Epoch: [24][1400/5005] Time 0.200 (0.222) Data 0.046 (0.070) Loss 2.7851 (2.8094) Prec@1 38.281 (38.394) Prec@5 61.719 (64.320)
Epoch: [24][1410/5005] Time 0.208 (0.222) Data 0.081 (0.070) Loss 2.7922 (2.8092) Prec@1 33.203 (38.399) Prec@5 65.234 (64.322)
Epoch: [24][1420/5005] Time 0.226 (0.222) Data 0.138 (0.070) Loss 2.9928 (2.8090) Prec@1 37.891 (38.401) Prec@5 62.109 (64.329)
Epoch: [24][1430/5005] Time 0.200 (0.222) Data 0.086 (0.071) Loss 2.4576 (2.8084) Prec@1 44.531 (38.412) Prec@5 69.922 (64.340)
Epoch: [24][1440/5005] Time 0.199 (0.222) Data 0.099 (0.071) Loss 2.6078 (2.8084) Prec@1 42.969 (38.409) Prec@5 64.844 (64.340)
Epoch: [24][1450/5005] Time 0.207 (0.222) Data 0.041 (0.071) Loss 2.7455 (2.8085) Prec@1 42.969 (38.410) Prec@5 65.625 (64.337)
Epoch: [24][1460/5005] Time 0.207 (0.222) Data 0.041 (0.071) Loss 2.8474 (2.8086) Prec@1 40.234 (38.418) Prec@5 62.500 (64.330)
Epoch: [24][1470/5005] Time 0.391 (0.222) Data 0.306 (0.071) Loss 2.9054 (2.8088) Prec@1 41.016 (38.423) Prec@5 62.500 (64.326)
Epoch: [24][1480/5005] Time 0.200 (0.222) Data 0.050 (0.071) Loss 2.6822 (2.8090) Prec@1 39.844 (38.413) Prec@5 65.234 (64.325)
Epoch: [24][1490/5005] Time 0.209 (0.222) Data 0.056 (0.071) Loss 2.9765 (2.8090) Prec@1 37.891 (38.417) Prec@5 63.281 (64.330)
Epoch: [24][1500/5005] Time 0.203 (0.222) Data 0.047 (0.071) Loss 3.0747 (2.8091) Prec@1 38.672 (38.422) Prec@5 60.547 (64.335)
Epoch: [24][1510/5005] Time 0.198 (0.222) Data 0.050 (0.071) Loss 2.6321 (2.8088) Prec@1 39.453 (38.424) Prec@5 66.016 (64.339)
Epoch: [24][1520/5005] Time 0.210 (0.222) Data 0.044 (0.071) Loss 2.9106 (2.8086) Prec@1 38.281 (38.426) Prec@5 59.375 (64.337)
Epoch: [24][1530/5005] Time 0.251 (0.222) Data 0.162 (0.071) Loss 2.9769 (2.8088) Prec@1 37.891 (38.423) Prec@5 62.109 (64.328)
Epoch: [24][1540/5005] Time 0.206 (0.222) Data 0.049 (0.071) Loss 2.8899 (2.8093) Prec@1 36.719 (38.419) Prec@5 64.062 (64.322)
Epoch: [24][1550/5005] Time 0.229 (0.222) Data 0.148 (0.071) Loss 2.6818 (2.8085) Prec@1 40.234 (38.430) Prec@5 69.922 (64.332)
Epoch: [24][1560/5005] Time 0.202 (0.222) Data 0.049 (0.071) Loss 2.6530 (2.8086) Prec@1 40.234 (38.431) Prec@5 66.797 (64.336)
Epoch: [24][1570/5005] Time 0.205 (0.222) Data 0.051 (0.071) Loss 2.7500 (2.8085) Prec@1 40.234 (38.442) Prec@5 63.281 (64.334)
Epoch: [24][1580/5005] Time 0.204 (0.222) Data 0.041 (0.071) Loss 2.6762 (2.8087) Prec@1 40.625 (38.435) Prec@5 66.797 (64.322)
Epoch: [24][1590/5005] Time 0.188 (0.223) Data 0.105 (0.072) Loss 2.8200 (2.8087) Prec@1 34.766 (38.428) Prec@5 64.062 (64.321)
Epoch: [24][1600/5005] Time 0.198 (0.223) Data 0.047 (0.072) Loss 2.8905 (2.8090) Prec@1 40.234 (38.424) Prec@5 62.891 (64.319)
Epoch: [24][1610/5005] Time 0.200 (0.223) Data 0.121 (0.072) Loss 2.7865 (2.8091) Prec@1 36.328 (38.423) Prec@5 64.844 (64.316)
Epoch: [24][1620/5005] Time 0.191 (0.222) Data 0.042 (0.072) Loss 3.0586 (2.8089) Prec@1 36.719 (38.424) Prec@5 59.375 (64.317)
Epoch: [24][1630/5005] Time 0.318 (0.223) Data 0.236 (0.072) Loss 2.5791 (2.8088) Prec@1 41.406 (38.424) Prec@5 68.750 (64.314)
Epoch: [24][1640/5005] Time 0.205 (0.222) Data 0.051 (0.072) Loss 2.7936 (2.8092) Prec@1 37.500 (38.421) Prec@5 64.844 (64.302)
Epoch: [24][1650/5005] Time 0.202 (0.223) Data 0.047 (0.072) Loss 2.8850 (2.8091) Prec@1 37.500 (38.427) Prec@5 62.109 (64.307)
Epoch: [24][1660/5005] Time 0.197 (0.223) Data 0.045 (0.072) Loss 2.8152 (2.8085) Prec@1 37.109 (38.429) Prec@5 65.625 (64.316)
Epoch: [24][1670/5005] Time 0.252 (0.222) Data 0.168 (0.072) Loss 2.6530 (2.8086) Prec@1 43.750 (38.431) Prec@5 63.672 (64.315)
Epoch: [24][1680/5005] Time 0.218 (0.222) Data 0.133 (0.072) Loss 2.9943 (2.8088) Prec@1 37.500 (38.433) Prec@5 63.672 (64.313)
Epoch: [24][1690/5005] Time 0.198 (0.223) Data 0.052 (0.072) Loss 2.5902 (2.8083) Prec@1 42.969 (38.441) Prec@5 67.969 (64.320)
Epoch: [24][1700/5005] Time 0.200 (0.222) Data 0.050 (0.072) Loss 2.8344 (2.8082) Prec@1 37.500 (38.446) Prec@5 65.234 (64.319)
Epoch: [24][1710/5005] Time 0.181 (0.223) Data 0.092 (0.073) Loss 2.6319 (2.8077) Prec@1 42.578 (38.455) Prec@5 65.234 (64.322)
Epoch: [24][1720/5005] Time 0.205 (0.223) Data 0.049 (0.073) Loss 2.9205 (2.8078) Prec@1 34.766 (38.450) Prec@5 63.672 (64.322)
Epoch: [24][1730/5005] Time 0.196 (0.223) Data 0.045 (0.073) Loss 2.8309 (2.8079) Prec@1 38.281 (38.450) Prec@5 65.234 (64.323)
Epoch: [24][1740/5005] Time 0.645 (0.223) Data 0.560 (0.073) Loss 2.9370 (2.8079) Prec@1 34.766 (38.451) Prec@5 60.156 (64.327)
Epoch: [24][1750/5005] Time 0.206 (0.223) Data 0.041 (0.073) Loss 2.8478 (2.8076) Prec@1 36.328 (38.457) Prec@5 62.109 (64.325)
Epoch: [24][1760/5005] Time 0.205 (0.223) Data 0.050 (0.073) Loss 2.5815 (2.8077) Prec@1 43.359 (38.461) Prec@5 69.141 (64.327)
Epoch: [24][1770/5005] Time 0.200 (0.223) Data 0.046 (0.073) Loss 2.8262 (2.8076) Prec@1 34.375 (38.455) Prec@5 62.109 (64.330)
Epoch: [24][1780/5005] Time 0.195 (0.223) Data 0.045 (0.073) Loss 2.8038 (2.8073) Prec@1 37.500 (38.457) Prec@5 64.844 (64.330)
Epoch: [24][1790/5005] Time 0.201 (0.223) Data 0.048 (0.073) Loss 2.8265 (2.8071) Prec@1 37.109 (38.463) Prec@5 61.328 (64.337)
Epoch: [24][1800/5005] Time 0.210 (0.222) Data 0.040 (0.073) Loss 2.6390 (2.8067) Prec@1 39.062 (38.470) Prec@5 64.844 (64.339)
Epoch: [24][1810/5005] Time 0.213 (0.222) Data 0.046 (0.073) Loss 2.6995 (2.8063) Prec@1 39.844 (38.475) Prec@5 68.359 (64.345)
Epoch: [24][1820/5005] Time 0.209 (0.223) Data 0.052 (0.073) Loss 2.8508 (2.8063) Prec@1 35.938 (38.469) Prec@5 62.500 (64.346)
Epoch: [24][1830/5005] Time 0.200 (0.223) Data 0.045 (0.073) Loss 2.5893 (2.8058) Prec@1 40.234 (38.470) Prec@5 67.188 (64.356)
Epoch: [24][1840/5005] Time 0.195 (0.223) Data 0.044 (0.073) Loss 2.8830 (2.8057) Prec@1 34.375 (38.474) Prec@5 61.328 (64.361)
Epoch: [24][1850/5005] Time 0.492 (0.223) Data 0.397 (0.073) Loss 2.7868 (2.8054) Prec@1 39.453 (38.484) Prec@5 64.453 (64.365)
Epoch: [24][1860/5005] Time 0.198 (0.223) Data 0.048 (0.073) Loss 2.6231 (2.8054) Prec@1 44.531 (38.481) Prec@5 67.188 (64.364)
Epoch: [24][1870/5005] Time 0.217 (0.223) Data 0.043 (0.073) Loss 3.0405 (2.8058) Prec@1 35.938 (38.476) Prec@5 62.109 (64.358)
Epoch: [24][1880/5005] Time 0.204 (0.223) Data 0.048 (0.073) Loss 2.8662 (2.8060) Prec@1 39.844 (38.473) Prec@5 62.891 (64.362)
Epoch: [24][1890/5005] Time 0.214 (0.223) Data 0.047 (0.073) Loss 2.9823 (2.8061) Prec@1 38.281 (38.471) Prec@5 59.375 (64.361)
Epoch: [24][1900/5005] Time 0.187 (0.223) Data 0.060 (0.073) Loss 2.8064 (2.8065) Prec@1 39.453 (38.469) Prec@5 64.453 (64.353)
Epoch: [24][1910/5005] Time 0.198 (0.223) Data 0.074 (0.073) Loss 2.8432 (2.8065) Prec@1 33.594 (38.468) Prec@5 60.938 (64.350)
Epoch: [24][1920/5005] Time 0.208 (0.223) Data 0.043 (0.073) Loss 2.7298 (2.8065) Prec@1 38.672 (38.465) Prec@5 64.453 (64.352)
Epoch: [24][1930/5005] Time 0.202 (0.223) Data 0.061 (0.074) Loss 2.6617 (2.8063) Prec@1 42.578 (38.470) Prec@5 66.016 (64.355)
Epoch: [24][1940/5005] Time 0.190 (0.223) Data 0.089 (0.074) Loss 2.6600 (2.8059) Prec@1 38.281 (38.477) Prec@5 65.625 (64.359)
Epoch: [24][1950/5005] Time 0.199 (0.223) Data 0.062 (0.074) Loss 2.9683 (2.8057) Prec@1 36.719 (38.482) Prec@5 64.062 (64.360)
Epoch: [24][1960/5005] Time 0.200 (0.223) Data 0.046 (0.074) Loss 2.6240 (2.8053) Prec@1 41.016 (38.482) Prec@5 66.797 (64.371)
Epoch: [24][1970/5005] Time 0.196 (0.223) Data 0.050 (0.074) Loss 2.8097 (2.8058) Prec@1 37.891 (38.472) Prec@5 62.109 (64.356)
Epoch: [24][1980/5005] Time 0.270 (0.223) Data 0.184 (0.074) Loss 2.4679 (2.8058) Prec@1 44.531 (38.478) Prec@5 69.141 (64.358)
Epoch: [24][1990/5005] Time 0.196 (0.223) Data 0.111 (0.074) Loss 2.5571 (2.8056) Prec@1 44.531 (38.482) Prec@5 68.359 (64.359)
Epoch: [24][2000/5005] Time 0.201 (0.223) Data 0.042 (0.074) Loss 2.5153 (2.8056) Prec@1 44.531 (38.488) Prec@5 67.969 (64.357)
Epoch: [24][2010/5005] Time 0.199 (0.223) Data 0.049 (0.074) Loss 2.7092 (2.8058) Prec@1 43.359 (38.481) Prec@5 67.188 (64.352)
Epoch: [24][2020/5005] Time 0.230 (0.223) Data 0.144 (0.074) Loss 2.8508 (2.8058) Prec@1 40.625 (38.477) Prec@5 64.453 (64.350)
Epoch: [24][2030/5005] Time 0.212 (0.223) Data 0.043 (0.074) Loss 2.8619 (2.8060) Prec@1 40.234 (38.476) Prec@5 65.234 (64.350)
Epoch: [24][2040/5005] Time 0.203 (0.223) Data 0.047 (0.074) Loss 2.6122 (2.8059) Prec@1 40.625 (38.477) Prec@5 67.969 (64.353)
Epoch: [24][2050/5005] Time 0.195 (0.223) Data 0.060 (0.075) Loss 2.9337 (2.8057) Prec@1 35.938 (38.475) Prec@5 64.062 (64.357)
Epoch: [24][2060/5005] Time 0.202 (0.223) Data 0.040 (0.075) Loss 2.7587 (2.8057) Prec@1 40.234 (38.474) Prec@5 60.938 (64.353)
Epoch: [24][2070/5005] Time 0.217 (0.223) Data 0.131 (0.075) Loss 3.0621 (2.8059) Prec@1 32.812 (38.467) Prec@5 61.328 (64.351)
Epoch: [24][2080/5005] Time 0.201 (0.223) Data 0.051 (0.075) Loss 2.9102 (2.8059) Prec@1 37.891 (38.462) Prec@5 64.844 (64.356)
Epoch: [24][2090/5005] Time 0.199 (0.223) Data 0.050 (0.075) Loss 2.5857 (2.8054) Prec@1 42.969 (38.468) Prec@5 71.094 (64.366)
Epoch: [24][2100/5005] Time 0.204 (0.223) Data 0.040 (0.075) Loss 2.9078 (2.8053) Prec@1 35.547 (38.472) Prec@5 64.062 (64.368)
Epoch: [24][2110/5005] Time 0.461 (0.223) Data 0.373 (0.075) Loss 2.7579 (2.8053) Prec@1 38.281 (38.470) Prec@5 66.406 (64.369)
Epoch: [24][2120/5005] Time 0.208 (0.223) Data 0.048 (0.075) Loss 2.8847 (2.8053) Prec@1 37.891 (38.466) Prec@5 62.500 (64.368)
Epoch: [24][2130/5005] Time 0.201 (0.223) Data 0.055 (0.075) Loss 2.8391 (2.8050) Prec@1 37.109 (38.472) Prec@5 63.281 (64.373)
Epoch: [24][2140/5005] Time 0.205 (0.223) Data 0.040 (0.075) Loss 2.6237 (2.8051) Prec@1 39.844 (38.469) Prec@5 67.969 (64.370)
Epoch: [24][2150/5005] Time 0.196 (0.223) Data 0.047 (0.075) Loss 2.7591 (2.8051) Prec@1 39.062 (38.467) Prec@5 67.188 (64.371)
Epoch: [24][2160/5005] Time 0.191 (0.223) Data 0.100 (0.075) Loss 2.6154 (2.8050) Prec@1 40.625 (38.471) Prec@5 67.969 (64.376)
Epoch: [24][2170/5005] Time 0.212 (0.223) Data 0.044 (0.075) Loss 2.6536 (2.8047) Prec@1 41.016 (38.479) Prec@5 69.141 (64.378)
Epoch: [24][2180/5005] Time 0.203 (0.223) Data 0.039 (0.075) Loss 2.8116 (2.8047) Prec@1 40.625 (38.485) Prec@5 63.672 (64.376)
Epoch: [24][2190/5005] Time 0.208 (0.223) Data 0.053 (0.075) Loss 3.1008 (2.8048) Prec@1 35.156 (38.484) Prec@5 62.500 (64.374)
Epoch: [24][2200/5005] Time 0.201 (0.223) Data 0.093 (0.075) Loss 2.8998 (2.8051) Prec@1 34.766 (38.471) Prec@5 60.156 (64.370)
Epoch: [24][2210/5005] Time 0.257 (0.223) Data 0.177 (0.076) Loss 2.8350 (2.8053) Prec@1 39.844 (38.471) Prec@5 62.500 (64.367)
Epoch: [24][2220/5005] Time 0.210 (0.223) Data 0.043 (0.076) Loss 3.0390 (2.8051) Prec@1 37.500 (38.475) Prec@5 61.328 (64.369)
Epoch: [24][2230/5005] Time 0.200 (0.223) Data 0.046 (0.076) Loss 2.7285 (2.8052) Prec@1 38.281 (38.474) Prec@5 67.188 (64.370)
Epoch: [24][2240/5005] Time 0.203 (0.223) Data 0.040 (0.076) Loss 2.7569 (2.8053) Prec@1 41.016 (38.472) Prec@5 67.188 (64.373)
Epoch: [24][2250/5005] Time 0.214 (0.223) Data 0.046 (0.076) Loss 2.7910 (2.8055) Prec@1 36.719 (38.473) Prec@5 64.062 (64.366)
Epoch: [24][2260/5005] Time 0.204 (0.223) Data 0.044 (0.075) Loss 2.8547 (2.8055) Prec@1 35.547 (38.473) Prec@5 61.719 (64.365)
Epoch: [24][2270/5005] Time 0.201 (0.223) Data 0.040 (0.075) Loss 2.9887 (2.8053) Prec@1 37.500 (38.476) Prec@5 58.594 (64.363)
Epoch: [24][2280/5005] Time 0.402 (0.223) Data 0.322 (0.075) Loss 2.7330 (2.8054) Prec@1 41.406 (38.477) Prec@5 65.625 (64.363)
Epoch: [24][2290/5005] Time 0.462 (0.223) Data 0.377 (0.075) Loss 2.6029 (2.8051) Prec@1 44.141 (38.480) Prec@5 69.531 (64.367)
Epoch: [24][2300/5005] Time 0.191 (0.223) Data 0.060 (0.075) Loss 2.6894 (2.8050) Prec@1 42.578 (38.487) Prec@5 63.672 (64.367)
Epoch: [24][2310/5005] Time 0.207 (0.223) Data 0.044 (0.075) Loss 2.6544 (2.8050) Prec@1 42.188 (38.488) Prec@5 66.797 (64.367)
Epoch: [24][2320/5005] Time 0.391 (0.223) Data 0.303 (0.075) Loss 2.8517 (2.8052) Prec@1 37.891 (38.491) Prec@5 63.672 (64.364)
Epoch: [24][2330/5005] Time 0.201 (0.223) Data 0.047 (0.075) Loss 2.6971 (2.8051) Prec@1 39.062 (38.493) Prec@5 66.406 (64.363)
Epoch: [24][2340/5005] Time 0.369 (0.223) Data 0.281 (0.076) Loss 2.8059 (2.8050) Prec@1 37.500 (38.493) Prec@5 65.234 (64.369)
Epoch: [24][2350/5005] Time 0.198 (0.223) Data 0.054 (0.076) Loss 2.7449 (2.8048) Prec@1 38.281 (38.495) Prec@5 63.672 (64.367)
Epoch: [24][2360/5005] Time 0.198 (0.223) Data 0.047 (0.076) Loss 2.8701 (2.8051) Prec@1 39.062 (38.494) Prec@5 64.062 (64.363)
Epoch: [24][2370/5005] Time 0.465 (0.223) Data 0.380 (0.076) Loss 2.7882 (2.8051) Prec@1 41.016 (38.492) Prec@5 62.500 (64.362)
Epoch: [24][2380/5005] Time 0.190 (0.223) Data 0.098 (0.076) Loss 2.9581 (2.8051) Prec@1 36.328 (38.490) Prec@5 61.328 (64.361)
Epoch: [24][2390/5005] Time 0.199 (0.223) Data 0.051 (0.076) Loss 2.8444 (2.8050) Prec@1 37.891 (38.493) Prec@5 64.453 (64.364)
Epoch: [24][2400/5005] Time 0.206 (0.223) Data 0.046 (0.076) Loss 2.8918 (2.8050) Prec@1 37.109 (38.490) Prec@5 64.062 (64.366)
Epoch: [24][2410/5005] Time 0.204 (0.223) Data 0.046 (0.076) Loss 2.9894 (2.8050) Prec@1 33.984 (38.492) Prec@5 63.281 (64.365)
Epoch: [24][2420/5005] Time 0.200 (0.223) Data 0.064 (0.076) Loss 2.8797 (2.8050) Prec@1 35.938 (38.490) Prec@5 62.500 (64.368)
Epoch: [24][2430/5005] Time 0.198 (0.223) Data 0.051 (0.076) Loss 2.7584 (2.8051) Prec@1 39.062 (38.492) Prec@5 62.500 (64.365)
Epoch: [24][2440/5005] Time 0.216 (0.223) Data 0.045 (0.076) Loss 2.5371 (2.8051) Prec@1 42.969 (38.493) Prec@5 69.531 (64.363)
Epoch: [24][2450/5005] Time 0.198 (0.223) Data 0.046 (0.076) Loss 2.7544 (2.8049) Prec@1 39.844 (38.496) Prec@5 62.500 (64.366)
Epoch: [24][2460/5005] Time 0.199 (0.223) Data 0.048 (0.076) Loss 2.7756 (2.8048) Prec@1 35.156 (38.495) Prec@5 66.406 (64.369)
Epoch: [24][2470/5005] Time 0.206 (0.223) Data 0.041 (0.076) Loss 2.7531 (2.8045) Prec@1 39.844 (38.505) Prec@5 62.891 (64.373)
Epoch: [24][2480/5005] Time 0.203 (0.223) Data 0.088 (0.076) Loss 2.8923 (2.8047) Prec@1 36.719 (38.504) Prec@5 66.016 (64.372)
Epoch: [24][2490/5005] Time 0.203 (0.223) Data 0.045 (0.076) Loss 2.7188 (2.8047) Prec@1 39.062 (38.503) Prec@5 66.406 (64.368)
Epoch: [24][2500/5005] Time 0.198 (0.223) Data 0.045 (0.076) Loss 2.8172 (2.8046) Prec@1 36.719 (38.507) Prec@5 62.500 (64.370)
Epoch: [24][2510/5005] Time 0.197 (0.223) Data 0.052 (0.076) Loss 2.9060 (2.8047) Prec@1 38.672 (38.500) Prec@5 59.375 (64.367)
Epoch: [24][2520/5005] Time 0.210 (0.223) Data 0.042 (0.076) Loss 2.7349 (2.8047) Prec@1 39.844 (38.501) Prec@5 64.062 (64.368)
Epoch: [24][2530/5005] Time 0.203 (0.223) Data 0.050 (0.076) Loss 2.9415 (2.8047) Prec@1 36.719 (38.498) Prec@5 60.156 (64.368)
Epoch: [24][2540/5005] Time 0.521 (0.224) Data 0.436 (0.077) Loss 2.7419 (2.8046) Prec@1 37.500 (38.503) Prec@5 64.062 (64.368)
Epoch: [24][2550/5005] Time 0.208 (0.223) Data 0.043 (0.077) Loss 2.7703 (2.8045) Prec@1 40.234 (38.502) Prec@5 64.844 (64.370)
Epoch: [24][2560/5005] Time 0.209 (0.223) Data 0.045 (0.076) Loss 3.1072 (2.8047) Prec@1 34.375 (38.503) Prec@5 60.156 (64.368)
Epoch: [24][2570/5005] Time 0.202 (0.223) Data 0.043 (0.076) Loss 2.8927 (2.8048) Prec@1 36.328 (38.504) Prec@5 64.453 (64.366)
Epoch: [24][2580/5005] Time 0.201 (0.223) Data 0.044 (0.076) Loss 2.8621 (2.8051) Prec@1 39.844 (38.498) Prec@5 63.672 (64.359)
Epoch: [24][2590/5005] Time 0.212 (0.223) Data 0.044 (0.077) Loss 3.0117 (2.8050) Prec@1 34.766 (38.506) Prec@5 66.016 (64.361)
Epoch: [24][2600/5005] Time 0.200 (0.223) Data 0.047 (0.076) Loss 2.8491 (2.8051) Prec@1 39.844 (38.504) Prec@5 65.625 (64.359)
Epoch: [24][2610/5005] Time 0.306 (0.223) Data 0.220 (0.076) Loss 2.9869 (2.8050) Prec@1 37.500 (38.505) Prec@5 59.375 (64.361)
Epoch: [24][2620/5005] Time 0.196 (0.223) Data 0.047 (0.076) Loss 2.8136 (2.8051) Prec@1 37.109 (38.504) Prec@5 62.109 (64.359)
Epoch: [24][2630/5005] Time 0.197 (0.224) Data 0.057 (0.077) Loss 2.9290 (2.8054) Prec@1 37.500 (38.504) Prec@5 64.062 (64.353)
Epoch: [24][2640/5005] Time 0.201 (0.224) Data 0.043 (0.077) Loss 3.0502 (2.8055) Prec@1 34.375 (38.502) Prec@5 59.766 (64.353)
Epoch: [24][2650/5005] Time 0.203 (0.223) Data 0.044 (0.076) Loss 3.0205 (2.8056) Prec@1 36.328 (38.504) Prec@5 59.375 (64.348)
Epoch: [24][2660/5005] Time 0.210 (0.223) Data 0.045 (0.076) Loss 2.9650 (2.8056) Prec@1 35.938 (38.505) Prec@5 62.500 (64.346)
Epoch: [24][2670/5005] Time 0.197 (0.223) Data 0.041 (0.076) Loss 2.5282 (2.8054) Prec@1 38.281 (38.507) Prec@5 66.797 (64.347)
Epoch: [24][2680/5005] Time 0.204 (0.223) Data 0.047 (0.077) Loss 2.5970 (2.8055) Prec@1 41.016 (38.503) Prec@5 68.359 (64.344)
Epoch: [24][2690/5005] Time 0.196 (0.224) Data 0.051 (0.076) Loss 2.5594 (2.8054) Prec@1 44.531 (38.506) Prec@5 65.625 (64.346)
Epoch: [24][2700/5005] Time 0.854 (0.224) Data 0.762 (0.077) Loss 2.7329 (2.8054) Prec@1 38.672 (38.504) Prec@5 67.188 (64.346)
Epoch: [24][2710/5005] Time 0.205 (0.224) Data 0.046 (0.077) Loss 2.4571 (2.8054) Prec@1 46.484 (38.498) Prec@5 68.750 (64.348)
Epoch: [24][2720/5005] Time 0.209 (0.224) Data 0.042 (0.077) Loss 2.6536 (2.8054) Prec@1 41.016 (38.497) Prec@5 69.531 (64.352)
Epoch: [24][2730/5005] Time 0.201 (0.224) Data 0.048 (0.076) Loss 2.8066 (2.8053) Prec@1 35.938 (38.496) Prec@5 66.406 (64.355)
Epoch: [24][2740/5005] Time 0.199 (0.224) Data 0.059 (0.076) Loss 2.8340 (2.8053) Prec@1 37.891 (38.495) Prec@5 63.672 (64.356)
Epoch: [24][2750/5005] Time 0.207 (0.224) Data 0.051 (0.076) Loss 2.8934 (2.8053) Prec@1 32.812 (38.496) Prec@5 58.984 (64.354)
Epoch: [24][2760/5005] Time 0.202 (0.224) Data 0.050 (0.076) Loss 2.8004 (2.8051) Prec@1 40.625 (38.503) Prec@5 63.672 (64.361)
Epoch: [24][2770/5005] Time 0.365 (0.224) Data 0.283 (0.076) Loss 2.7283 (2.8052) Prec@1 40.625 (38.503) Prec@5 67.188 (64.361)
Epoch: [24][2780/5005] Time 0.208 (0.224) Data 0.043 (0.076) Loss 3.0655 (2.8054) Prec@1 37.891 (38.504) Prec@5 60.547 (64.359)
Epoch: [24][2790/5005] Time 0.199 (0.224) Data 0.053 (0.076) Loss 3.1363 (2.8055) Prec@1 33.594 (38.503) Prec@5 57.422 (64.354)
Epoch: [24][2800/5005] Time 0.193 (0.224) Data 0.049 (0.076) Loss 2.6149 (2.8054) Prec@1 40.234 (38.505) Prec@5 66.406 (64.353)
Epoch: [24][2810/5005] Time 0.195 (0.224) Data 0.105 (0.076) Loss 3.2347 (2.8055) Prec@1 36.719 (38.505) Prec@5 56.250 (64.353)
Epoch: [24][2820/5005] Time 0.384 (0.224) Data 0.296 (0.077) Loss 2.6075 (2.8055) Prec@1 37.109 (38.505) Prec@5 67.188 (64.355)
Epoch: [24][2830/5005] Time 0.197 (0.224) Data 0.047 (0.077) Loss 3.0115 (2.8056) Prec@1 37.109 (38.498) Prec@5 60.547 (64.350)
Epoch: [24][2840/5005] Time 0.199 (0.224) Data 0.041 (0.077) Loss 2.7597 (2.8057) Prec@1 37.109 (38.495) Prec@5 66.016 (64.348)
Epoch: [24][2850/5005] Time 0.201 (0.224) Data 0.044 (0.077) Loss 2.7875 (2.8056) Prec@1 42.969 (38.501) Prec@5 63.672 (64.348)
Epoch: [24][2860/5005] Time 0.194 (0.224) Data 0.103 (0.077) Loss 2.8148 (2.8058) Prec@1 38.281 (38.497) Prec@5 66.016 (64.347)
Epoch: [24][2870/5005] Time 0.205 (0.224) Data 0.051 (0.077) Loss 2.6151 (2.8055) Prec@1 41.406 (38.503) Prec@5 68.750 (64.356)
Epoch: [24][2880/5005] Time 0.208 (0.224) Data 0.065 (0.077) Loss 2.7746 (2.8055) Prec@1 36.719 (38.502) Prec@5 64.844 (64.355)
Epoch: [24][2890/5005] Time 0.204 (0.224) Data 0.047 (0.077) Loss 2.8857 (2.8054) Prec@1 32.812 (38.507) Prec@5 59.766 (64.358)
Epoch: [24][2900/5005] Time 0.260 (0.224) Data 0.171 (0.077) Loss 2.6410 (2.8053) Prec@1 44.141 (38.508) Prec@5 67.578 (64.361)
Epoch: [24][2910/5005] Time 0.189 (0.224) Data 0.057 (0.077) Loss 2.9133 (2.8056) Prec@1 34.375 (38.503) Prec@5 65.234 (64.358)
Epoch: [24][2920/5005] Time 0.206 (0.224) Data 0.048 (0.077) Loss 2.8190 (2.8055) Prec@1 36.328 (38.505) Prec@5 65.234 (64.358)
Epoch: [24][2930/5005] Time 0.199 (0.224) Data 0.060 (0.077) Loss 3.0676 (2.8054) Prec@1 35.547 (38.508) Prec@5 62.500 (64.361)
Epoch: [24][2940/5005] Time 0.456 (0.224) Data 0.370 (0.077) Loss 2.8240 (2.8054) Prec@1 37.891 (38.510) Prec@5 64.062 (64.362)
Epoch: [24][2950/5005] Time 0.206 (0.224) Data 0.045 (0.077) Loss 3.0234 (2.8051) Prec@1 34.766 (38.514) Prec@5 59.375 (64.370)
Epoch: [24][2960/5005] Time 0.210 (0.224) Data 0.047 (0.077) Loss 2.7119 (2.8050) Prec@1 40.625 (38.517) Prec@5 65.234 (64.371)
Epoch: [24][2970/5005] Time 0.220 (0.224) Data 0.136 (0.077) Loss 2.9517 (2.8049) Prec@1 33.594 (38.518) Prec@5 63.281 (64.378)
Epoch: [24][2980/5005] Time 0.198 (0.224) Data 0.046 (0.077) Loss 2.9140 (2.8050) Prec@1 39.453 (38.514) Prec@5 63.672 (64.379)
Epoch: [24][2990/5005] Time 0.199 (0.224) Data 0.039 (0.077) Loss 2.7992 (2.8050) Prec@1 40.234 (38.512) Prec@5 65.234 (64.382)
Epoch: [24][3000/5005] Time 0.199 (0.224) Data 0.068 (0.077) Loss 2.7985 (2.8047) Prec@1 39.844 (38.514) Prec@5 64.844 (64.385)
Epoch: [24][3010/5005] Time 0.198 (0.224) Data 0.049 (0.077) Loss 2.7892 (2.8049) Prec@1 38.281 (38.511) Prec@5 64.844 (64.385)
Epoch: [24][3020/5005] Time 0.207 (0.224) Data 0.065 (0.077) Loss 2.6953 (2.8051) Prec@1 41.016 (38.507) Prec@5 62.500 (64.380)
Epoch: [24][3030/5005] Time 0.214 (0.224) Data 0.046 (0.077) Loss 2.7043 (2.8051) Prec@1 42.188 (38.508) Prec@5 70.312 (64.381)
Epoch: [24][3040/5005] Time 0.197 (0.224) Data 0.041 (0.077) Loss 2.6573 (2.8050) Prec@1 42.188 (38.513) Prec@5 63.672 (64.381)
Epoch: [24][3050/5005] Time 0.208 (0.224) Data 0.057 (0.077) Loss 2.8496 (2.8050) Prec@1 33.203 (38.509) Prec@5 63.672 (64.383)
Epoch: [24][3060/5005] Time 0.193 (0.224) Data 0.043 (0.077) Loss 2.7523 (2.8049) Prec@1 40.234 (38.511) Prec@5 64.453 (64.383)
Epoch: [24][3070/5005] Time 0.198 (0.224) Data 0.046 (0.077) Loss 2.8488 (2.8050) Prec@1 38.672 (38.513) Prec@5 61.328 (64.379)
Epoch: [24][3080/5005] Time 0.207 (0.224) Data 0.043 (0.077) Loss 2.7358 (2.8051) Prec@1 41.797 (38.509) Prec@5 66.406 (64.380)
Epoch: [24][3090/5005] Time 0.201 (0.224) Data 0.045 (0.077) Loss 3.0665 (2.8051) Prec@1 32.422 (38.504) Prec@5 60.547 (64.383)
Epoch: [24][3100/5005] Time 0.207 (0.224) Data 0.051 (0.076) Loss 2.8504 (2.8051) Prec@1 36.328 (38.503) Prec@5 64.453 (64.380)
Epoch: [24][3110/5005] Time 0.203 (0.224) Data 0.089 (0.076) Loss 2.6281 (2.8050) Prec@1 40.234 (38.503) Prec@5 68.359 (64.381)
Epoch: [24][3120/5005] Time 0.212 (0.224) Data 0.045 (0.077) Loss 2.8544 (2.8050) Prec@1 35.938 (38.500) Prec@5 63.672 (64.384)
Epoch: [24][3130/5005] Time 0.187 (0.224) Data 0.045 (0.076) Loss 2.8642 (2.8048) Prec@1 37.500 (38.504) Prec@5 64.453 (64.389)
Epoch: [24][3140/5005] Time 0.214 (0.224) Data 0.043 (0.076) Loss 2.5366 (2.8046) Prec@1 44.531 (38.510) Prec@5 68.750 (64.390)
Epoch: [24][3150/5005] Time 0.207 (0.224) Data 0.041 (0.076) Loss 2.6301 (2.8044) Prec@1 44.531 (38.517) Prec@5 69.531 (64.393)
Epoch: [24][3160/5005] Time 0.436 (0.224) Data 0.348 (0.076) Loss 2.6800 (2.8044) Prec@1 40.625 (38.521) Prec@5 64.844 (64.395)
Epoch: [24][3170/5005] Time 0.199 (0.224) Data 0.082 (0.077) Loss 2.8611 (2.8045) Prec@1 40.234 (38.521) Prec@5 63.281 (64.395)
Epoch: [24][3180/5005] Time 0.202 (0.224) Data 0.043 (0.077) Loss 2.6691 (2.8046) Prec@1 42.188 (38.518) Prec@5 67.188 (64.393)
Epoch: [24][3190/5005] Time 0.208 (0.224) Data 0.045 (0.076) Loss 2.8680 (2.8046) Prec@1 34.766 (38.517) Prec@5 66.016 (64.393)
Epoch: [24][3200/5005] Time 0.196 (0.224) Data 0.077 (0.076) Loss 2.7625 (2.8045) Prec@1 39.062 (38.524) Prec@5 64.062 (64.399)
Epoch: [24][3210/5005] Time 0.204 (0.224) Data 0.044 (0.076) Loss 2.9342 (2.8044) Prec@1 39.453 (38.527) Prec@5 63.281 (64.400)
Epoch: [24][3220/5005] Time 0.199 (0.224) Data 0.046 (0.077) Loss 2.8121 (2.8044) Prec@1 37.500 (38.531) Prec@5 64.062 (64.398)
Epoch: [24][3230/5005] Time 0.201 (0.224) Data 0.050 (0.077) Loss 2.8075 (2.8043) Prec@1 34.766 (38.532) Prec@5 62.109 (64.400)
Epoch: [24][3240/5005] Time 0.203 (0.224) Data 0.045 (0.077) Loss 3.0752 (2.8047) Prec@1 35.938 (38.527) Prec@5 60.547 (64.394)
Epoch: [24][3250/5005] Time 0.198 (0.224) Data 0.080 (0.077) Loss 2.9002 (2.8048) Prec@1 41.406 (38.524) Prec@5 64.062 (64.395)
Epoch: [24][3260/5005] Time 0.210 (0.224) Data 0.044 (0.077) Loss 2.8462 (2.8049) Prec@1 38.281 (38.521) Prec@5 61.719 (64.393)
Epoch: [24][3270/5005] Time 0.208 (0.224) Data 0.048 (0.077) Loss 3.0040 (2.8049) Prec@1 37.500 (38.523) Prec@5 61.328 (64.392)
Epoch: [24][3280/5005] Time 0.199 (0.224) Data 0.055 (0.077) Loss 2.6597 (2.8050) Prec@1 40.625 (38.518) Prec@5 67.578 (64.393)
Epoch: [24][3290/5005] Time 0.193 (0.224) Data 0.068 (0.077) Loss 2.7817 (2.8049) Prec@1 42.578 (38.520) Prec@5 66.016 (64.391)
Epoch: [24][3300/5005] Time 0.210 (0.224) Data 0.046 (0.077) Loss 2.6744 (2.8048) Prec@1 37.500 (38.520) Prec@5 66.797 (64.392)
Epoch: [24][3310/5005] Time 0.202 (0.224) Data 0.048 (0.077) Loss 2.7371 (2.8049) Prec@1 39.453 (38.519) Prec@5 64.844 (64.391)
Epoch: [24][3320/5005] Time 0.192 (0.224) Data 0.056 (0.077) Loss 2.8597 (2.8050) Prec@1 36.719 (38.516) Prec@5 61.719 (64.391)
Epoch: [24][3330/5005] Time 0.195 (0.224) Data 0.087 (0.077) Loss 2.9142 (2.8051) Prec@1 37.109 (38.515) Prec@5 61.719 (64.387)
Epoch: [24][3340/5005] Time 0.208 (0.224) Data 0.043 (0.077) Loss 2.9104 (2.8051) Prec@1 36.328 (38.512) Prec@5 64.844 (64.386)
Epoch: [24][3350/5005] Time 0.195 (0.224) Data 0.053 (0.077) Loss 2.8762 (2.8052) Prec@1 37.109 (38.509) Prec@5 62.891 (64.387)
Epoch: [24][3360/5005] Time 0.194 (0.224) Data 0.062 (0.077) Loss 2.8049 (2.8053) Prec@1 38.672 (38.506) Prec@5 66.016 (64.386)
Epoch: [24][3370/5005] Time 0.240 (0.224) Data 0.147 (0.077) Loss 2.8505 (2.8054) Prec@1 36.328 (38.504) Prec@5 62.109 (64.383)
Epoch: [24][3380/5005] Time 0.208 (0.224) Data 0.049 (0.077) Loss 2.6422 (2.8052) Prec@1 41.016 (38.506) Prec@5 69.922 (64.386)
Epoch: [24][3390/5005] Time 0.196 (0.224) Data 0.048 (0.077) Loss 2.7050 (2.8054) Prec@1 42.188 (38.502) Prec@5 67.188 (64.380)
Epoch: [24][3400/5005] Time 0.201 (0.224) Data 0.052 (0.077) Loss 2.6453 (2.8055) Prec@1 41.016 (38.500) Prec@5 67.969 (64.380)
Epoch: [24][3410/5005] Time 0.198 (0.224) Data 0.050 (0.077) Loss 2.7699 (2.8055) Prec@1 42.188 (38.502) Prec@5 63.281 (64.378)
Epoch: [24][3420/5005] Time 0.371 (0.224) Data 0.281 (0.077) Loss 2.7470 (2.8054) Prec@1 38.281 (38.504) Prec@5 64.844 (64.379)
Epoch: [24][3430/5005] Time 0.212 (0.224) Data 0.048 (0.077) Loss 2.6979 (2.8054) Prec@1 42.969 (38.500) Prec@5 64.062 (64.381)
Epoch: [24][3440/5005] Time 0.195 (0.224) Data 0.046 (0.077) Loss 2.8917 (2.8054) Prec@1 38.672 (38.499) Prec@5 58.984 (64.380)
Epoch: [24][3450/5005] Time 0.292 (0.224) Data 0.199 (0.077) Loss 2.4843 (2.8052) Prec@1 46.875 (38.503) Prec@5 69.531 (64.385)
Epoch: [24][3460/5005] Time 0.324 (0.224) Data 0.242 (0.077) Loss 2.8317 (2.8053) Prec@1 39.062 (38.507) Prec@5 64.844 (64.385)
Epoch: [24][3470/5005] Time 0.218 (0.224) Data 0.131 (0.077) Loss 2.6125 (2.8051) Prec@1 43.359 (38.511) Prec@5 67.969 (64.386)
Epoch: [24][3480/5005] Time 0.206 (0.224) Data 0.041 (0.077) Loss 2.7286 (2.8050) Prec@1 37.109 (38.515) Prec@5 67.578 (64.389)
Epoch: [24][3490/5005] Time 0.219 (0.224) Data 0.046 (0.077) Loss 3.0015 (2.8050) Prec@1 33.984 (38.514) Prec@5 59.766 (64.388)
Epoch: [24][3500/5005] Time 0.192 (0.224) Data 0.097 (0.077) Loss 2.7574 (2.8050) Prec@1 39.062 (38.511) Prec@5 64.062 (64.387)
Epoch: [24][3510/5005] Time 0.218 (0.224) Data 0.050 (0.077) Loss 2.7936 (2.8049) Prec@1 35.547 (38.509) Prec@5 60.156 (64.386)
Epoch: [24][3520/5005] Time 0.213 (0.224) Data 0.041 (0.077) Loss 2.8760 (2.8049) Prec@1 38.672 (38.508) Prec@5 64.453 (64.386)
Epoch: [24][3530/5005] Time 0.211 (0.224) Data 0.048 (0.077) Loss 2.6579 (2.8047) Prec@1 41.406 (38.513) Prec@5 67.188 (64.390)
Epoch: [24][3540/5005] Time 0.201 (0.224) Data 0.044 (0.077) Loss 2.7920 (2.8046) Prec@1 34.766 (38.513) Prec@5 65.625 (64.392)
Epoch: [24][3550/5005] Time 0.219 (0.224) Data 0.042 (0.077) Loss 2.7689 (2.8045) Prec@1 38.281 (38.514) Prec@5 64.062 (64.392)
Epoch: [24][3560/5005] Time 0.203 (0.224) Data 0.042 (0.077) Loss 2.8601 (2.8045) Prec@1 32.812 (38.512) Prec@5 60.156 (64.390)
Epoch: [24][3570/5005] Time 0.253 (0.224) Data 0.170 (0.077) Loss 3.0059 (2.8046) Prec@1 37.500 (38.515) Prec@5 64.062 (64.392)
Epoch: [24][3580/5005] Time 0.206 (0.224) Data 0.062 (0.077) Loss 2.8919 (2.8047) Prec@1 37.109 (38.512) Prec@5 61.328 (64.391)
Epoch: [24][3590/5005] Time 0.202 (0.224) Data 0.045 (0.077) Loss 2.9360 (2.8045) Prec@1 37.500 (38.517) Prec@5 62.500 (64.393)
Epoch: [24][3600/5005] Time 0.296 (0.224) Data 0.204 (0.077) Loss 2.8293 (2.8043) Prec@1 36.719 (38.518) Prec@5 63.281 (64.396)
Epoch: [24][3610/5005] Time 0.196 (0.224) Data 0.064 (0.077) Loss 2.6548 (2.8043) Prec@1 39.844 (38.520) Prec@5 64.453 (64.395)
Epoch: [24][3620/5005] Time 0.210 (0.224) Data 0.050 (0.077) Loss 2.9476 (2.8042) Prec@1 36.719 (38.526) Prec@5 60.156 (64.397)
Epoch: [24][3630/5005] Time 0.198 (0.224) Data 0.052 (0.077) Loss 3.0108 (2.8042) Prec@1 38.672 (38.525) Prec@5 61.328 (64.397)
Epoch: [24][3640/5005] Time 0.217 (0.224) Data 0.047 (0.077) Loss 2.8216 (2.8041) Prec@1 37.891 (38.527) Prec@5 64.844 (64.399)
Epoch: [24][3650/5005] Time 0.207 (0.224) Data 0.043 (0.077) Loss 2.6558 (2.8041) Prec@1 41.406 (38.525) Prec@5 69.141 (64.400)
Epoch: [24][3660/5005] Time 0.201 (0.224) Data 0.046 (0.077) Loss 3.0499 (2.8040) Prec@1 37.891 (38.532) Prec@5 62.109 (64.401)
Epoch: [24][3670/5005] Time 0.212 (0.224) Data 0.040 (0.077) Loss 2.9117 (2.8041) Prec@1 38.672 (38.531) Prec@5 60.547 (64.398)
Epoch: [24][3680/5005] Time 0.214 (0.224) Data 0.046 (0.077) Loss 2.7751 (2.8043) Prec@1 38.672 (38.529) Prec@5 67.578 (64.394)
Epoch: [24][3690/5005] Time 0.204 (0.224) Data 0.069 (0.077) Loss 2.8107 (2.8044) Prec@1 36.719 (38.525) Prec@5 61.328 (64.391)
Epoch: [24][3700/5005] Time 0.206 (0.224) Data 0.054 (0.077) Loss 2.8477 (2.8045) Prec@1 37.891 (38.524) Prec@5 67.578 (64.391)
Epoch: [24][3710/5005] Time 0.204 (0.224) Data 0.048 (0.077) Loss 2.7614 (2.8047) Prec@1 38.281 (38.520) Prec@5 65.234 (64.390)
Epoch: [24][3720/5005] Time 0.502 (0.224) Data 0.425 (0.077) Loss 2.9240 (2.8046) Prec@1 35.547 (38.520) Prec@5 63.672 (64.390)
Epoch: [24][3730/5005] Time 0.204 (0.224) Data 0.040 (0.077) Loss 2.7081 (2.8046) Prec@1 42.188 (38.520) Prec@5 67.969 (64.391)
Epoch: [24][3740/5005] Time 0.193 (0.224) Data 0.085 (0.077) Loss 2.7072 (2.8042) Prec@1 40.234 (38.524) Prec@5 66.016 (64.398)
Epoch: [24][3750/5005] Time 0.195 (0.224) Data 0.048 (0.077) Loss 2.5639 (2.8044) Prec@1 39.453 (38.519) Prec@5 71.094 (64.396)
Epoch: [24][3760/5005] Time 0.206 (0.224) Data 0.119 (0.077) Loss 2.9515 (2.8044) Prec@1 35.547 (38.515) Prec@5 60.547 (64.394)
Epoch: [24][3770/5005] Time 0.201 (0.224) Data 0.041 (0.077) Loss 2.8049 (2.8043) Prec@1 41.016 (38.518) Prec@5 62.109 (64.396)
Epoch: [24][3780/5005] Time 0.395 (0.224) Data 0.299 (0.077) Loss 2.7341 (2.8042) Prec@1 39.062 (38.520) Prec@5 67.188 (64.394)
Epoch: [24][3790/5005] Time 0.212 (0.224) Data 0.054 (0.077) Loss 2.8997 (2.8044) Prec@1 37.891 (38.518) Prec@5 63.281 (64.394)
Epoch: [24][3800/5005] Time 0.206 (0.224) Data 0.041 (0.077) Loss 2.6531 (2.8045) Prec@1 41.016 (38.517) Prec@5 66.797 (64.390)
Epoch: [24][3810/5005] Time 0.198 (0.224) Data 0.045 (0.078) Loss 2.7422 (2.8045) Prec@1 43.359 (38.515) Prec@5 69.922 (64.393)
Epoch: [24][3820/5005] Time 0.210 (0.224) Data 0.044 (0.078) Loss 2.7053 (2.8044) Prec@1 41.797 (38.518) Prec@5 67.188 (64.397)
Epoch: [24][3830/5005] Time 0.204 (0.224) Data 0.049 (0.078) Loss 2.9165 (2.8042) Prec@1 37.109 (38.521) Prec@5 58.984 (64.400)
Epoch: [24][3840/5005] Time 0.196 (0.224) Data 0.047 (0.078) Loss 3.0738 (2.8043) Prec@1 32.422 (38.518) Prec@5 57.812 (64.397)
Epoch: [24][3850/5005] Time 0.199 (0.224) Data 0.040 (0.077) Loss 2.8136 (2.8043) Prec@1 39.453 (38.515) Prec@5 63.672 (64.398)
Epoch: [24][3860/5005] Time 0.203 (0.224) Data 0.080 (0.077) Loss 2.6759 (2.8043) Prec@1 44.922 (38.517) Prec@5 69.531 (64.397)
Epoch: [24][3870/5005] Time 0.256 (0.224) Data 0.177 (0.078) Loss 2.8536 (2.8045) Prec@1 33.984 (38.511) Prec@5 62.109 (64.393)
Epoch: [24][3880/5005] Time 0.203 (0.224) Data 0.047 (0.078) Loss 2.7335 (2.8045) Prec@1 42.188 (38.514) Prec@5 67.578 (64.394)
Epoch: [24][3890/5005] Time 0.199 (0.224) Data 0.043 (0.078) Loss 2.9832 (2.8044) Prec@1 33.594 (38.515) Prec@5 62.109 (64.393)
Epoch: [24][3900/5005] Time 0.370 (0.224) Data 0.280 (0.078) Loss 3.0490 (2.8046) Prec@1 33.203 (38.512) Prec@5 59.375 (64.390)
Epoch: [24][3910/5005] Time 0.201 (0.224) Data 0.049 (0.078) Loss 3.0077 (2.8046) Prec@1 30.469 (38.511) Prec@5 61.328 (64.389)
Epoch: [24][3920/5005] Time 0.203 (0.224) Data 0.040 (0.078) Loss 2.8033 (2.8046) Prec@1 38.281 (38.512) Prec@5 64.453 (64.388)
Epoch: [24][3930/5005] Time 0.212 (0.224) Data 0.048 (0.078) Loss 2.7207 (2.8045) Prec@1 41.016 (38.515) Prec@5 61.328 (64.387)
Epoch: [24][3940/5005] Time 0.198 (0.224) Data 0.045 (0.078) Loss 2.7566 (2.8045) Prec@1 41.406 (38.515) Prec@5 65.625 (64.385)
Epoch: [24][3950/5005] Time 0.209 (0.224) Data 0.041 (0.078) Loss 2.7157 (2.8044) Prec@1 41.016 (38.518) Prec@5 66.797 (64.386)
Epoch: [24][3960/5005] Time 0.203 (0.224) Data 0.043 (0.078) Loss 2.6000 (2.8045) Prec@1 43.750 (38.517) Prec@5 73.047 (64.388)
Epoch: [24][3970/5005] Time 0.207 (0.224) Data 0.052 (0.078) Loss 2.7576 (2.8043) Prec@1 42.188 (38.520) Prec@5 66.016 (64.390)
Epoch: [24][3980/5005] Time 0.201 (0.224) Data 0.047 (0.077) Loss 2.5570 (2.8042) Prec@1 43.359 (38.520) Prec@5 69.531 (64.392)
Epoch: [24][3990/5005] Time 0.489 (0.224) Data 0.406 (0.078) Loss 3.0988 (2.8043) Prec@1 35.938 (38.517) Prec@5 61.328 (64.390)
Epoch: [24][4000/5005] Time 0.199 (0.224) Data 0.046 (0.078) Loss 2.6884 (2.8043) Prec@1 39.844 (38.515) Prec@5 63.672 (64.391)
Epoch: [24][4010/5005] Time 0.199 (0.224) Data 0.046 (0.078) Loss 2.7711 (2.8043) Prec@1 41.016 (38.517) Prec@5 62.891 (64.392)
Epoch: [24][4020/5005] Time 0.200 (0.224) Data 0.040 (0.078) Loss 2.9482 (2.8042) Prec@1 36.328 (38.517) Prec@5 59.766 (64.392)
Epoch: [24][4030/5005] Time 0.200 (0.224) Data 0.043 (0.078) Loss 3.0431 (2.8045) Prec@1 36.328 (38.516) Prec@5 60.938 (64.386)
Epoch: [24][4040/5005] Time 0.309 (0.224) Data 0.222 (0.078) Loss 2.7714 (2.8047) Prec@1 37.109 (38.512) Prec@5 66.797 (64.384)
Epoch: [24][4050/5005] Time 0.194 (0.224) Data 0.047 (0.078) Loss 2.9933 (2.8046) Prec@1 34.375 (38.514) Prec@5 57.422 (64.386)
Epoch: [24][4060/5005] Time 0.205 (0.224) Data 0.051 (0.078) Loss 2.8873 (2.8047) Prec@1 35.938 (38.513) Prec@5 59.375 (64.383)
Epoch: [24][4070/5005] Time 0.196 (0.224) Data 0.045 (0.078) Loss 3.0575 (2.8048) Prec@1 37.500 (38.511) Prec@5 62.500 (64.383)
Epoch: [24][4080/5005] Time 0.204 (0.224) Data 0.048 (0.078) Loss 2.8427 (2.8048) Prec@1 35.938 (38.513) Prec@5 66.016 (64.385)
Epoch: [24][4090/5005] Time 0.209 (0.224) Data 0.053 (0.078) Loss 2.7819 (2.8048) Prec@1 38.672 (38.514) Prec@5 65.625 (64.384)
Epoch: [24][4100/5005] Time 0.372 (0.224) Data 0.290 (0.078) Loss 2.8619 (2.8048) Prec@1 36.719 (38.513) Prec@5 60.156 (64.381)
Epoch: [24][4110/5005] Time 0.201 (0.224) Data 0.051 (0.078) Loss 3.0157 (2.8050) Prec@1 38.281 (38.509) Prec@5 60.547 (64.379)
Epoch: [24][4120/5005] Time 0.211 (0.224) Data 0.040 (0.078) Loss 3.0165 (2.8049) Prec@1 35.938 (38.508) Prec@5 62.500 (64.380)
Epoch: [24][4130/5005] Time 0.198 (0.224) Data 0.052 (0.078) Loss 2.9529 (2.8049) Prec@1 33.594 (38.506) Prec@5 61.719 (64.380)
Epoch: [24][4140/5005] Time 0.200 (0.224) Data 0.047 (0.078) Loss 2.8090 (2.8049) Prec@1 38.281 (38.507) Prec@5 63.672 (64.380)
Epoch: [24][4150/5005] Time 0.314 (0.224) Data 0.224 (0.078) Loss 3.0780 (2.8050) Prec@1 33.984 (38.505) Prec@5 58.984 (64.379)
Epoch: [24][4160/5005] Time 0.203 (0.224) Data 0.055 (0.078) Loss 2.8748 (2.8052) Prec@1 38.672 (38.503) Prec@5 62.891 (64.378)
Epoch: [24][4170/5005] Time 0.196 (0.224) Data 0.089 (0.078) Loss 2.7009 (2.8051) Prec@1 38.281 (38.505) Prec@5 67.578 (64.383)
Epoch: [24][4180/5005] Time 0.205 (0.224) Data 0.044 (0.078) Loss 2.6390 (2.8051) Prec@1 44.141 (38.504) Prec@5 67.188 (64.383)
Epoch: [24][4190/5005] Time 0.225 (0.224) Data 0.139 (0.078) Loss 2.7577 (2.8052) Prec@1 37.500 (38.504) Prec@5 62.500 (64.381)
Epoch: [24][4200/5005] Time 0.191 (0.224) Data 0.104 (0.078) Loss 2.6267 (2.8052) Prec@1 42.578 (38.504) Prec@5 65.625 (64.382)
Epoch: [24][4210/5005] Time 0.210 (0.224) Data 0.098 (0.078) Loss 2.6895 (2.8051) Prec@1 39.844 (38.504) Prec@5 67.578 (64.383)
Epoch: [24][4220/5005] Time 0.198 (0.224) Data 0.095 (0.078) Loss 2.9791 (2.8054) Prec@1 37.109 (38.500) Prec@5 61.328 (64.376)
Epoch: [24][4230/5005] Time 0.192 (0.224) Data 0.048 (0.078) Loss 2.7719 (2.8054) Prec@1 42.188 (38.501) Prec@5 65.234 (64.377)
Epoch: [24][4240/5005] Time 0.410 (0.224) Data 0.323 (0.078) Loss 2.6628 (2.8055) Prec@1 37.891 (38.499) Prec@5 65.234 (64.376)
Epoch: [24][4250/5005] Time 0.202 (0.224) Data 0.048 (0.078) Loss 2.6956 (2.8054) Prec@1 39.062 (38.501) Prec@5 68.750 (64.377)
Epoch: [24][4260/5005] Time 0.215 (0.224) Data 0.048 (0.078) Loss 2.8758 (2.8055) Prec@1 37.109 (38.499) Prec@5 61.719 (64.375)
Epoch: [24][4270/5005] Time 0.201 (0.224) Data 0.045 (0.078) Loss 3.1222 (2.8056) Prec@1 35.156 (38.496) Prec@5 59.375 (64.373)
Epoch: [24][4280/5005] Time 0.206 (0.224) Data 0.047 (0.078) Loss 2.8611 (2.8056) Prec@1 35.156 (38.496) Prec@5 62.891 (64.373)
Epoch: [24][4290/5005] Time 0.219 (0.224) Data 0.138 (0.078) Loss 3.0390 (2.8057) Prec@1 39.453 (38.496) Prec@5 60.156 (64.370)
Epoch: [24][4300/5005] Time 0.206 (0.224) Data 0.044 (0.078) Loss 2.5164 (2.8055) Prec@1 42.578 (38.497) Prec@5 70.703 (64.374)
Epoch: [24][4310/5005] Time 0.205 (0.224) Data 0.040 (0.078) Loss 2.6696 (2.8056) Prec@1 40.234 (38.495) Prec@5 66.797 (64.370)
Epoch: [24][4320/5005] Time 0.204 (0.224) Data 0.043 (0.078) Loss 2.7923 (2.8057) Prec@1 40.625 (38.496) Prec@5 64.453 (64.369)
Epoch: [24][4330/5005] Time 0.215 (0.224) Data 0.121 (0.078) Loss 2.7232 (2.8056) Prec@1 41.016 (38.498) Prec@5 66.797 (64.368)
Epoch: [24][4340/5005] Time 0.204 (0.224) Data 0.045 (0.078) Loss 2.9591 (2.8058) Prec@1 35.156 (38.492) Prec@5 59.766 (64.364)
Epoch: [24][4350/5005] Time 0.204 (0.224) Data 0.044 (0.078) Loss 2.7732 (2.8058) Prec@1 39.062 (38.493) Prec@5 65.234 (64.364)
Epoch: [24][4360/5005] Time 0.196 (0.224) Data 0.045 (0.078) Loss 2.6661 (2.8057) Prec@1 39.453 (38.495) Prec@5 69.141 (64.367)
Epoch: [24][4370/5005] Time 0.205 (0.224) Data 0.120 (0.078) Loss 2.7910 (2.8058) Prec@1 36.719 (38.494) Prec@5 68.359 (64.365)
Epoch: [24][4380/5005] Time 0.200 (0.224) Data 0.069 (0.078) Loss 2.8399 (2.8057) Prec@1 39.062 (38.494) Prec@5 61.719 (64.365)
Epoch: [24][4390/5005] Time 0.202 (0.224) Data 0.044 (0.078) Loss 2.9023 (2.8056) Prec@1 37.891 (38.498) Prec@5 60.938 (64.368)
Epoch: [24][4400/5005] Time 0.203 (0.224) Data 0.052 (0.078) Loss 2.7940 (2.8056) Prec@1 35.156 (38.497) Prec@5 61.719 (64.364)
Epoch: [24][4410/5005] Time 0.202 (0.224) Data 0.109 (0.078) Loss 2.7627 (2.8055) Prec@1 34.766 (38.496) Prec@5 63.672 (64.366)
Epoch: [24][4420/5005] Time 0.209 (0.224) Data 0.049 (0.078) Loss 2.4867 (2.8055) Prec@1 44.141 (38.497) Prec@5 67.578 (64.365)
Epoch: [24][4430/5005] Time 0.206 (0.224) Data 0.045 (0.078) Loss 2.9037 (2.8052) Prec@1 33.984 (38.502) Prec@5 63.281 (64.368)
Epoch: [24][4440/5005] Time 0.208 (0.224) Data 0.048 (0.078) Loss 2.9218 (2.8053) Prec@1 33.594 (38.500) Prec@5 61.719 (64.369)
Epoch: [24][4450/5005] Time 0.199 (0.224) Data 0.046 (0.078) Loss 2.7236 (2.8053) Prec@1 37.891 (38.501) Prec@5 65.234 (64.367)
Epoch: [24][4460/5005] Time 0.195 (0.224) Data 0.052 (0.078) Loss 2.9709 (2.8053) Prec@1 38.281 (38.503) Prec@5 61.719 (64.365)
Epoch: [24][4470/5005] Time 0.580 (0.224) Data 0.485 (0.078) Loss 2.8599 (2.8054) Prec@1 35.547 (38.500) Prec@5 66.016 (64.364)
Epoch: [24][4480/5005] Time 0.198 (0.224) Data 0.046 (0.078) Loss 2.6810 (2.8057) Prec@1 41.797 (38.495) Prec@5 60.938 (64.358)
Epoch: [24][4490/5005] Time 0.213 (0.224) Data 0.043 (0.078) Loss 2.8004 (2.8057) Prec@1 38.281 (38.493) Prec@5 62.891 (64.357)
Epoch: [24][4500/5005] Time 0.195 (0.224) Data 0.048 (0.078) Loss 2.7450 (2.8057) Prec@1 39.844 (38.495) Prec@5 63.672 (64.358)
Epoch: [24][4510/5005] Time 0.209 (0.224) Data 0.046 (0.078) Loss 2.5498 (2.8057) Prec@1 41.406 (38.494) Prec@5 68.359 (64.356)
Epoch: [24][4520/5005] Time 0.193 (0.224) Data 0.050 (0.078) Loss 2.7918 (2.8056) Prec@1 37.891 (38.494) Prec@5 69.531 (64.359)
Epoch: [24][4530/5005] Time 0.192 (0.224) Data 0.048 (0.079) Loss 2.7838 (2.8056) Prec@1 39.453 (38.496) Prec@5 65.625 (64.361)
Epoch: [24][4540/5005] Time 0.204 (0.224) Data 0.063 (0.078) Loss 2.9844 (2.8057) Prec@1 34.375 (38.495) Prec@5 62.500 (64.360)
Epoch: [24][4550/5005] Time 0.209 (0.224) Data 0.048 (0.078) Loss 2.7777 (2.8058) Prec@1 40.625 (38.494) Prec@5 60.156 (64.361)
Epoch: [24][4560/5005] Time 0.287 (0.224) Data 0.208 (0.078) Loss 2.7962 (2.8057) Prec@1 39.453 (38.495) Prec@5 66.406 (64.361)
Epoch: [24][4570/5005] Time 0.198 (0.224) Data 0.045 (0.078) Loss 2.9132 (2.8056) Prec@1 37.500 (38.498) Prec@5 61.719 (64.361)
Epoch: [24][4580/5005] Time 0.199 (0.224) Data 0.049 (0.078) Loss 2.9424 (2.8056) Prec@1 37.500 (38.499) Prec@5 60.938 (64.361)
Epoch: [24][4590/5005] Time 0.206 (0.224) Data 0.111 (0.078) Loss 2.6602 (2.8056) Prec@1 40.625 (38.500) Prec@5 68.750 (64.361)
Epoch: [24][4600/5005] Time 0.205 (0.224) Data 0.100 (0.078) Loss 2.4732 (2.8057) Prec@1 43.359 (38.497) Prec@5 70.312 (64.359)
Epoch: [24][4610/5005] Time 0.196 (0.224) Data 0.048 (0.079) Loss 2.6795 (2.8056) Prec@1 39.062 (38.499) Prec@5 65.625 (64.359)
Epoch: [24][4620/5005] Time 0.203 (0.224) Data 0.043 (0.078) Loss 2.6727 (2.8057) Prec@1 44.141 (38.499) Prec@5 67.188 (64.359)
Epoch: [24][4630/5005] Time 0.286 (0.224) Data 0.205 (0.078) Loss 2.5820 (2.8055) Prec@1 41.797 (38.500) Prec@5 69.141 (64.360)
Epoch: [24][4640/5005] Time 0.192 (0.224) Data 0.055 (0.078) Loss 2.9512 (2.8055) Prec@1 37.500 (38.501) Prec@5 63.281 (64.361)
Epoch: [24][4650/5005] Time 0.493 (0.224) Data 0.413 (0.079) Loss 2.8513 (2.8055) Prec@1 39.062 (38.500) Prec@5 65.234 (64.363)
Epoch: [24][4660/5005] Time 0.200 (0.224) Data 0.039 (0.079) Loss 3.1240 (2.8055) Prec@1 35.938 (38.501) Prec@5 55.859 (64.361)
Epoch: [24][4670/5005] Time 0.225 (0.224) Data 0.140 (0.079) Loss 2.8151 (2.8055) Prec@1 37.891 (38.502) Prec@5 63.281 (64.359)
Epoch: [24][4680/5005] Time 0.193 (0.224) Data 0.050 (0.079) Loss 2.8184 (2.8056) Prec@1 34.375 (38.499) Prec@5 62.891 (64.355)
Epoch: [24][4690/5005] Time 0.199 (0.224) Data 0.050 (0.079) Loss 2.7736 (2.8056) Prec@1 38.672 (38.497) Prec@5 65.625 (64.354)
Epoch: [24][4700/5005] Time 0.204 (0.224) Data 0.047 (0.079) Loss 2.6521 (2.8056) Prec@1 44.141 (38.499) Prec@5 66.797 (64.356)
Epoch: [24][4710/5005] Time 0.223 (0.224) Data 0.042 (0.079) Loss 2.7764 (2.8054) Prec@1 39.844 (38.501) Prec@5 69.141 (64.358)
Epoch: [24][4720/5005] Time 0.203 (0.224) Data 0.041 (0.079) Loss 2.6257 (2.8054) Prec@1 45.312 (38.502) Prec@5 70.312 (64.358)
Epoch: [24][4730/5005] Time 0.204 (0.224) Data 0.046 (0.079) Loss 2.7431 (2.8055) Prec@1 38.672 (38.500) Prec@5 65.234 (64.357)
Epoch: [24][4740/5005] Time 0.198 (0.224) Data 0.044 (0.079) Loss 2.7173 (2.8054) Prec@1 33.203 (38.501) Prec@5 66.406 (64.359)
Epoch: [24][4750/5005] Time 0.583 (0.224) Data 0.496 (0.079) Loss 2.7298 (2.8054) Prec@1 42.578 (38.501) Prec@5 64.062 (64.358)
Epoch: [24][4760/5005] Time 0.201 (0.224) Data 0.045 (0.079) Loss 3.0735 (2.8054) Prec@1 33.203 (38.503) Prec@5 62.109 (64.360)
Epoch: [24][4770/5005] Time 0.204 (0.224) Data 0.040 (0.079) Loss 2.7240 (2.8053) Prec@1 38.281 (38.504) Prec@5 64.062 (64.361)
Epoch: [24][4780/5005] Time 0.196 (0.224) Data 0.049 (0.079) Loss 2.7969 (2.8055) Prec@1 38.672 (38.504) Prec@5 63.281 (64.359)
Epoch: [24][4790/5005] Time 0.187 (0.224) Data 0.097 (0.079) Loss 2.9406 (2.8055) Prec@1 41.406 (38.507) Prec@5 63.672 (64.361)
Epoch: [24][4800/5005] Time 0.202 (0.224) Data 0.045 (0.079) Loss 2.8691 (2.8054) Prec@1 37.109 (38.506) Prec@5 62.109 (64.363)
Epoch: [24][4810/5005] Time 0.191 (0.224) Data 0.052 (0.079) Loss 2.9059 (2.8053) Prec@1 38.281 (38.505) Prec@5 62.109 (64.364)
Epoch: [24][4820/5005] Time 0.246 (0.224) Data 0.164 (0.079) Loss 3.0148 (2.8053) Prec@1 31.250 (38.506) Prec@5 59.766 (64.364)
Epoch: [24][4830/5005] Time 0.189 (0.224) Data 0.048 (0.079) Loss 2.7871 (2.8052) Prec@1 39.844 (38.510) Prec@5 61.719 (64.364)
Epoch: [24][4840/5005] Time 0.272 (0.224) Data 0.189 (0.079) Loss 2.6471 (2.8053) Prec@1 42.188 (38.506) Prec@5 66.797 (64.362)
Epoch: [24][4850/5005] Time 0.192 (0.224) Data 0.050 (0.079) Loss 3.0367 (2.8055) Prec@1 32.031 (38.503) Prec@5 62.109 (64.358)
Epoch: [24][4860/5005] Time 0.205 (0.224) Data 0.045 (0.079) Loss 2.8740 (2.8055) Prec@1 37.109 (38.504) Prec@5 62.891 (64.357)
Epoch: [24][4870/5005] Time 0.210 (0.224) Data 0.098 (0.079) Loss 2.7125 (2.8055) Prec@1 39.844 (38.504) Prec@5 65.625 (64.356)
Epoch: [24][4880/5005] Time 0.203 (0.224) Data 0.041 (0.079) Loss 2.5929 (2.8055) Prec@1 41.406 (38.506) Prec@5 66.016 (64.357)
Epoch: [24][4890/5005] Time 0.203 (0.224) Data 0.055 (0.079) Loss 2.8232 (2.8055) Prec@1 37.500 (38.504) Prec@5 65.625 (64.357)
Epoch: [24][4900/5005] Time 0.468 (0.224) Data 0.376 (0.079) Loss 2.6237 (2.8055) Prec@1 40.234 (38.505) Prec@5 67.969 (64.357)
Epoch: [24][4910/5005] Time 0.191 (0.224) Data 0.063 (0.079) Loss 2.8606 (2.8053) Prec@1 35.938 (38.507) Prec@5 62.891 (64.359)
Epoch: [24][4920/5005] Time 0.209 (0.224) Data 0.044 (0.079) Loss 2.7310 (2.8053) Prec@1 40.234 (38.507) Prec@5 65.234 (64.358)
Epoch: [24][4930/5005] Time 0.196 (0.224) Data 0.051 (0.079) Loss 2.9643 (2.8053) Prec@1 36.719 (38.507) Prec@5 62.500 (64.359)
Epoch: [24][4940/5005] Time 0.237 (0.224) Data 0.155 (0.079) Loss 2.9015 (2.8053) Prec@1 39.453 (38.507) Prec@5 62.109 (64.356)
Epoch: [24][4950/5005] Time 0.240 (0.224) Data 0.150 (0.079) Loss 2.6008 (2.8055) Prec@1 38.281 (38.506) Prec@5 69.141 (64.356)
Epoch: [24][4960/5005] Time 0.198 (0.224) Data 0.052 (0.079) Loss 2.9377 (2.8056) Prec@1 35.938 (38.507) Prec@5 62.109 (64.355)
Epoch: [24][4970/5005] Time 0.208 (0.224) Data 0.042 (0.079) Loss 2.9415 (2.8056) Prec@1 34.375 (38.505) Prec@5 60.547 (64.354)
Epoch: [24][4980/5005] Time 0.203 (0.224) Data 0.044 (0.079) Loss 2.8454 (2.8055) Prec@1 37.109 (38.506) Prec@5 67.578 (64.358)
Epoch: [24][4990/5005] Time 0.197 (0.224) Data 0.028 (0.079) Loss 2.8901 (2.8055) Prec@1 33.984 (38.506) Prec@5 60.156 (64.358)
Epoch: [24][5000/5005] Time 0.227 (0.224) Data 0.139 (0.079) Loss 2.7965 (2.8055) Prec@1 39.844 (38.505) Prec@5 64.453 (64.359)
Test: [0/196] Time 2.447 (2.447) Loss 2.6631 (2.6631) Prec@1 45.312 (45.312) Prec@5 66.797 (66.797)
Test: [10/196] Time 0.043 (0.402) Loss 2.8117 (2.8694) Prec@1 41.406 (39.027) Prec@5 62.500 (63.778)
Test: [20/196] Time 0.042 (0.307) Loss 2.7970 (2.8737) Prec@1 39.844 (38.579) Prec@5 64.453 (63.895)
Test: [30/196] Time 0.043 (0.275) Loss 2.8046 (2.8913) Prec@1 37.500 (37.878) Prec@5 63.281 (63.395)
Test: [40/196] Time 1.371 (0.280) Loss 2.6920 (2.8946) Prec@1 42.578 (38.014) Prec@5 67.969 (63.148)
Test: [50/196] Time 0.043 (0.270) Loss 2.9033 (2.8983) Prec@1 39.844 (37.960) Prec@5 69.141 (63.258)
Test: [60/196] Time 0.043 (0.252) Loss 2.7333 (2.8847) Prec@1 41.797 (38.192) Prec@5 62.891 (63.409)
Test: [70/196] Time 0.343 (0.248) Loss 2.9133 (2.8778) Prec@1 38.672 (38.116) Prec@5 61.719 (63.496)
Test: [80/196] Time 1.075 (0.251) Loss 2.7527 (2.8827) Prec@1 42.188 (38.064) Prec@5 66.797 (63.411)
Test: [90/196] Time 0.164 (0.244) Loss 2.8126 (2.8846) Prec@1 42.188 (38.101) Prec@5 62.891 (63.423)
Test: [100/196] Time 0.246 (0.242) Loss 2.8800 (2.8846) Prec@1 41.797 (38.223) Prec@5 64.062 (63.390)
Test: [110/196] Time 0.044 (0.237) Loss 2.9976 (2.8872) Prec@1 38.281 (38.155) Prec@5 60.156 (63.433)
Test: [120/196] Time 0.575 (0.238) Loss 2.7242 (2.8833) Prec@1 38.281 (38.142) Prec@5 65.625 (63.478)
Test: [130/196] Time 0.467 (0.238) Loss 2.5440 (2.8804) Prec@1 41.406 (38.165) Prec@5 65.625 (63.496)
Test: [140/196] Time 0.544 (0.237) Loss 2.6724 (2.8809) Prec@1 40.234 (38.109) Prec@5 66.016 (63.464)
Test: [150/196] Time 0.042 (0.234) Loss 2.5833 (2.8785) Prec@1 42.578 (38.139) Prec@5 71.875 (63.545)
Test: [160/196] Time 0.045 (0.237) Loss 2.8114 (2.8766) Prec@1 40.625 (38.153) Prec@5 64.062 (63.570)
Test: [170/196] Time 0.084 (0.234) Loss 2.8410 (2.8768) Prec@1 38.281 (38.146) Prec@5 65.625 (63.567)
Test: [180/196] Time 0.429 (0.233) Loss 3.0633 (2.8825) Prec@1 32.812 (38.024) Prec@5 61.719 (63.432)
Test: [190/196] Time 0.168 (0.232) Loss 3.1199 (2.8863) Prec@1 33.203 (38.003) Prec@5 60.547 (63.347)
* Prec@1 37.998 Prec@5 63.372
Learning rate: 0.0001
Epoch: [25][0/5005] Time 2.171 (2.171) Data 2.076 (2.076) Loss 2.6829 (2.6829) Prec@1 36.328 (36.328) Prec@5 68.359 (68.359)
Epoch: [25][10/5005] Time 0.204 (0.381) Data 0.046 (0.231) Loss 2.7188 (2.7751) Prec@1 39.453 (37.713) Prec@5 67.188 (65.696)
Epoch: [25][20/5005] Time 0.207 (0.295) Data 0.042 (0.143) Loss 2.9117 (2.7846) Prec@1 37.109 (37.481) Prec@5 63.281 (65.346)
Epoch: [25][30/5005] Time 0.203 (0.265) Data 0.040 (0.111) Loss 2.6329 (2.7463) Prec@1 37.500 (38.294) Prec@5 64.062 (66.041)
Epoch: [25][40/5005] Time 0.207 (0.249) Data 0.043 (0.094) Loss 2.6317 (2.7506) Prec@1 45.703 (38.605) Prec@5 66.016 (66.054)
Epoch: [25][50/5005] Time 0.206 (0.243) Data 0.046 (0.084) Loss 2.6002 (2.7483) Prec@1 41.797 (38.940) Prec@5 69.922 (65.977)
Epoch: [25][60/5005] Time 0.229 (0.236) Data 0.044 (0.078) Loss 2.6883 (2.7474) Prec@1 39.062 (39.005) Prec@5 64.844 (65.843)
Epoch: [25][70/5005] Time 0.207 (0.231) Data 0.046 (0.074) Loss 2.7356 (2.7592) Prec@1 36.328 (38.969) Prec@5 66.406 (65.592)
Epoch: [25][80/5005] Time 0.200 (0.229) Data 0.043 (0.070) Loss 2.7328 (2.7573) Prec@1 41.406 (39.072) Prec@5 64.453 (65.567)
Epoch: [25][90/5005] Time 0.203 (0.226) Data 0.043 (0.067) Loss 2.7255 (2.7519) Prec@1 45.312 (39.303) Prec@5 69.141 (65.629)
Epoch: [25][100/5005] Time 0.203 (0.223) Data 0.043 (0.065) Loss 2.5719 (2.7527) Prec@1 41.016 (39.403) Prec@5 67.188 (65.575)
Epoch: [25][110/5005] Time 0.203 (0.230) Data 0.046 (0.063) Loss 2.7310 (2.7520) Prec@1 41.797 (39.552) Prec@5 65.234 (65.565)
Epoch: [25][120/5005] Time 0.209 (0.227) Data 0.041 (0.062) Loss 2.8183 (2.7537) Prec@1 40.234 (39.563) Prec@5 63.281 (65.483)
Epoch: [25][130/5005] Time 0.201 (0.225) Data 0.044 (0.060) Loss 2.9025 (2.7513) Prec@1 36.719 (39.623) Prec@5 63.281 (65.536)
Epoch: [25][140/5005] Time 0.197 (0.224) Data 0.041 (0.059) Loss 2.7663 (2.7467) Prec@1 37.109 (39.622) Prec@5 63.672 (65.608)
Epoch: [25][150/5005] Time 0.194 (0.222) Data 0.042 (0.058) Loss 2.9083 (2.7488) Prec@1 35.156 (39.528) Prec@5 62.109 (65.545)
Epoch: [25][160/5005] Time 0.203 (0.221) Data 0.040 (0.057) Loss 2.5395 (2.7488) Prec@1 41.016 (39.514) Prec@5 66.797 (65.559)
Epoch: [25][170/5005] Time 0.280 (0.223) Data 0.196 (0.061) Loss 2.8886 (2.7472) Prec@1 38.281 (39.556) Prec@5 61.719 (65.561)
Epoch: [25][180/5005] Time 0.314 (0.224) Data 0.218 (0.064) Loss 2.9908 (2.7437) Prec@1 39.062 (39.624) Prec@5 59.766 (65.629)
Epoch: [25][190/5005] Time 0.209 (0.225) Data 0.048 (0.066) Loss 2.8492 (2.7470) Prec@1 40.234 (39.559) Prec@5 63.281 (65.555)
Epoch: [25][200/5005] Time 0.320 (0.226) Data 0.222 (0.068) Loss 3.0052 (2.7475) Prec@1 30.469 (39.544) Prec@5 60.547 (65.503)
Epoch: [25][210/5005] Time 0.217 (0.226) Data 0.046 (0.069) Loss 2.5229 (2.7458) Prec@1 42.969 (39.590) Prec@5 69.531 (65.527)
Epoch: [25][220/5005] Time 0.213 (0.227) Data 0.050 (0.070) Loss 2.8141 (2.7448) Prec@1 36.719 (39.609) Prec@5 62.891 (65.510)
Epoch: [25][230/5005] Time 0.205 (0.227) Data 0.041 (0.070) Loss 2.7106 (2.7434) Prec@1 37.891 (39.685) Prec@5 64.062 (65.535)
Epoch: [25][240/5005] Time 0.211 (0.228) Data 0.043 (0.071) Loss 2.7291 (2.7419) Prec@1 44.141 (39.719) Prec@5 66.406 (65.573)
Epoch: [25][250/5005] Time 0.208 (0.228) Data 0.054 (0.072) Loss 2.9181 (2.7399) Prec@1 36.328 (39.783) Prec@5 61.328 (65.591)
Epoch: [25][260/5005] Time 0.206 (0.230) Data 0.045 (0.074) Loss 2.5644 (2.7390) Prec@1 39.844 (39.799) Prec@5 67.578 (65.624)
Epoch: [25][270/5005] Time 0.209 (0.229) Data 0.045 (0.074) Loss 2.6848 (2.7368) Prec@1 40.625 (39.828) Prec@5 66.797 (65.684)
Epoch: [25][280/5005] Time 0.351 (0.230) Data 0.258 (0.075) Loss 2.9984 (2.7377) Prec@1 34.375 (39.803) Prec@5 58.594 (65.669)
Epoch: [25][290/5005] Time 0.205 (0.230) Data 0.043 (0.076) Loss 2.5222 (2.7387) Prec@1 41.016 (39.766) Prec@5 69.531 (65.634)
Epoch: [25][300/5005] Time 0.208 (0.230) Data 0.056 (0.077) Loss 2.5532 (2.7374) Prec@1 44.922 (39.797) Prec@5 68.750 (65.667)
Epoch: [25][310/5005] Time 0.976 (0.233) Data 0.892 (0.080) Loss 2.6824 (2.7342) Prec@1 38.281 (39.831) Prec@5 66.406 (65.729)
Epoch: [25][320/5005] Time 0.211 (0.233) Data 0.043 (0.080) Loss 2.9301 (2.7338) Prec@1 35.938 (39.849) Prec@5 63.672 (65.733)
Epoch: [25][330/5005] Time 0.218 (0.233) Data 0.042 (0.079) Loss 2.4738 (2.7311) Prec@1 41.406 (39.870) Prec@5 69.141 (65.785)
Epoch: [25][340/5005] Time 0.271 (0.232) Data 0.190 (0.078) Loss 2.9104 (2.7337) Prec@1 39.844 (39.854) Prec@5 64.453 (65.715)
Epoch: [25][350/5005] Time 0.262 (0.233) Data 0.166 (0.080) Loss 2.8964 (2.7318) Prec@1 36.719 (39.892) Prec@5 60.938 (65.750)
Epoch: [25][360/5005] Time 0.212 (0.232) Data 0.046 (0.079) Loss 2.8038 (2.7308) Prec@1 42.188 (39.926) Prec@5 59.375 (65.739)
Epoch: [25][370/5005] Time 0.193 (0.232) Data 0.048 (0.078) Loss 2.7367 (2.7281) Prec@1 41.406 (39.955) Prec@5 65.234 (65.763)
Epoch: [25][380/5005] Time 0.201 (0.231) Data 0.052 (0.078) Loss 2.8428 (2.7284) Prec@1 39.062 (39.948) Prec@5 63.281 (65.732)
Epoch: [25][390/5005] Time 0.218 (0.231) Data 0.044 (0.077) Loss 2.7577 (2.7278) Prec@1 43.359 (39.973) Prec@5 66.016 (65.735)
Epoch: [25][400/5005] Time 0.229 (0.231) Data 0.050 (0.076) Loss 2.4155 (2.7258) Prec@1 43.359 (39.977) Prec@5 70.703 (65.783)
Epoch: [25][410/5005] Time 0.203 (0.230) Data 0.052 (0.075) Loss 2.4814 (2.7250) Prec@1 41.406 (39.960) Prec@5 73.047 (65.816)
Epoch: [25][420/5005] Time 0.223 (0.230) Data 0.046 (0.075) Loss 2.6134 (2.7240) Prec@1 41.797 (39.981) Prec@5 68.359 (65.822)
Epoch: [25][430/5005] Time 0.209 (0.229) Data 0.052 (0.074) Loss 2.5880 (2.7237) Prec@1 42.969 (39.967) Prec@5 67.188 (65.825)
Epoch: [25][440/5005] Time 0.220 (0.229) Data 0.061 (0.074) Loss 2.5447 (2.7227) Prec@1 45.703 (39.959) Prec@5 69.531 (65.835)
Epoch: [25][450/5005] Time 0.215 (0.229) Data 0.048 (0.073) Loss 2.5408 (2.7226) Prec@1 40.234 (39.960) Prec@5 66.797 (65.839)
Epoch: [25][460/5005] Time 0.212 (0.228) Data 0.062 (0.073) Loss 2.6854 (2.7226) Prec@1 43.359 (39.965) Prec@5 65.234 (65.843)
Epoch: [25][470/5005] Time 0.215 (0.228) Data 0.061 (0.072) Loss 2.6307 (2.7230) Prec@1 41.797 (39.974) Prec@5 65.625 (65.830)
Epoch: [25][480/5005] Time 0.220 (0.228) Data 0.045 (0.072) Loss 2.7112 (2.7225) Prec@1 38.281 (39.984) Prec@5 64.844 (65.826)
Epoch: [25][490/5005] Time 0.210 (0.228) Data 0.044 (0.071) Loss 2.5349 (2.7219) Prec@1 45.312 (39.984) Prec@5 69.922 (65.837)
Epoch: [25][500/5005] Time 0.218 (0.227) Data 0.038 (0.070) Loss 2.8393 (2.7225) Prec@1 37.500 (40.009) Prec@5 62.109 (65.821)
Epoch: [25][510/5005] Time 0.226 (0.227) Data 0.045 (0.070) Loss 2.9331 (2.7226) Prec@1 38.672 (40.013) Prec@5 63.672 (65.824)
Epoch: [25][520/5005] Time 0.215 (0.227) Data 0.043 (0.069) Loss 2.8507 (2.7222) Prec@1 39.062 (39.985) Prec@5 61.719 (65.824)
Epoch: [25][530/5005] Time 0.214 (0.227) Data 0.043 (0.069) Loss 2.6138 (2.7213) Prec@1 41.406 (40.000) Prec@5 69.141 (65.836)
Epoch: [25][540/5005] Time 0.214 (0.226) Data 0.045 (0.069) Loss 2.7951 (2.7217) Prec@1 39.062 (39.990) Prec@5 64.062 (65.827)
Epoch: [25][550/5005] Time 0.213 (0.226) Data 0.047 (0.068) Loss 2.7103 (2.7203) Prec@1 41.406 (40.012) Prec@5 66.016 (65.830)
Epoch: [25][560/5005] Time 0.211 (0.226) Data 0.045 (0.068) Loss 2.7872 (2.7198) Prec@1 38.672 (40.024) Prec@5 66.406 (65.836)
Epoch: [25][570/5005] Time 0.208 (0.226) Data 0.044 (0.067) Loss 2.7658 (2.7211) Prec@1 39.062 (39.991) Prec@5 63.672 (65.816)
Epoch: [25][580/5005] Time 0.217 (0.226) Data 0.046 (0.067) Loss 2.7851 (2.7203) Prec@1 37.891 (40.004) Prec@5 63.672 (65.831)
Epoch: [25][590/5005] Time 0.215 (0.225) Data 0.042 (0.067) Loss 2.8917 (2.7200) Prec@1 36.719 (40.007) Prec@5 62.891 (65.837)
Epoch: [25][600/5005] Time 0.210 (0.225) Data 0.045 (0.066) Loss 2.6364 (2.7200) Prec@1 41.016 (40.022) Prec@5 68.359 (65.867)
Epoch: [25][610/5005] Time 0.215 (0.225) Data 0.045 (0.066) Loss 2.6067 (2.7190) Prec@1 40.625 (40.032) Prec@5 66.016 (65.876)
Epoch: [25][620/5005] Time 0.220 (0.225) Data 0.046 (0.066) Loss 2.6920 (2.7183) Prec@1 41.406 (40.063) Prec@5 64.062 (65.901)
Epoch: [25][630/5005] Time 0.209 (0.225) Data 0.042 (0.065) Loss 2.7371 (2.7176) Prec@1 39.844 (40.074) Prec@5 66.016 (65.907)
Epoch: [25][640/5005] Time 0.218 (0.225) Data 0.043 (0.065) Loss 2.5368 (2.7170) Prec@1 42.578 (40.085) Prec@5 69.141 (65.913)
Epoch: [25][650/5005] Time 0.214 (0.224) Data 0.044 (0.065) Loss 2.8056 (2.7181) Prec@1 37.109 (40.060) Prec@5 65.234 (65.894)
Epoch: [25][660/5005] Time 0.218 (0.224) Data 0.042 (0.064) Loss 2.7849 (2.7172) Prec@1 37.109 (40.090) Prec@5 67.578 (65.924)
Epoch: [25][670/5005] Time 0.207 (0.224) Data 0.049 (0.064) Loss 2.8494 (2.7172) Prec@1 36.719 (40.099) Prec@5 66.797 (65.931)
Epoch: [25][680/5005] Time 0.213 (0.224) Data 0.048 (0.064) Loss 2.6678 (2.7167) Prec@1 39.844 (40.101) Prec@5 68.359 (65.935)
Epoch: [25][690/5005] Time 0.219 (0.224) Data 0.042 (0.064) Loss 2.5869 (2.7159) Prec@1 39.844 (40.113) Prec@5 69.922 (65.951)
Epoch: [25][700/5005] Time 0.218 (0.224) Data 0.047 (0.063) Loss 2.6395 (2.7146) Prec@1 40.625 (40.123) Prec@5 65.625 (65.973)
Epoch: [25][710/5005] Time 0.219 (0.224) Data 0.042 (0.063) Loss 2.5431 (2.7139) Prec@1 40.234 (40.142) Prec@5 67.188 (65.991)
Epoch: [25][720/5005] Time 0.211 (0.223) Data 0.044 (0.063) Loss 2.5302 (2.7126) Prec@1 43.359 (40.157) Prec@5 69.922 (66.007)
Epoch: [25][730/5005] Time 0.222 (0.223) Data 0.041 (0.063) Loss 2.8033 (2.7122) Prec@1 41.406 (40.201) Prec@5 64.453 (66.020)
Epoch: [25][740/5005] Time 0.209 (0.223) Data 0.042 (0.062) Loss 2.8355 (2.7117) Prec@1 40.625 (40.212) Prec@5 63.281 (66.015)
Epoch: [25][750/5005] Time 0.214 (0.223) Data 0.046 (0.062) Loss 2.4940 (2.7115) Prec@1 42.969 (40.211) Prec@5 71.484 (66.031)
Epoch: [25][760/5005] Time 0.205 (0.223) Data 0.048 (0.062) Loss 2.7729 (2.7112) Prec@1 38.281 (40.209) Prec@5 64.062 (66.029)
Epoch: [25][770/5005] Time 0.212 (0.223) Data 0.052 (0.062) Loss 2.7511 (2.7097) Prec@1 41.797 (40.241) Prec@5 62.109 (66.049)
Epoch: [25][780/5005] Time 0.211 (0.223) Data 0.044 (0.061) Loss 2.6130 (2.7090) Prec@1 41.797 (40.263) Prec@5 66.797 (66.052)
Epoch: [25][790/5005] Time 0.213 (0.223) Data 0.039 (0.061) Loss 2.7143 (2.7079) Prec@1 43.359 (40.288) Prec@5 63.281 (66.058)
Epoch: [25][800/5005] Time 0.216 (0.222) Data 0.063 (0.061) Loss 2.4025 (2.7066) Prec@1 44.141 (40.309) Prec@5 71.484 (66.075)
Epoch: [25][810/5005] Time 0.208 (0.222) Data 0.046 (0.061) Loss 2.7129 (2.7068) Prec@1 41.016 (40.302) Prec@5 64.844 (66.068)
Epoch: [25][820/5005] Time 0.211 (0.222) Data 0.042 (0.061) Loss 2.8127 (2.7068) Prec@1 37.500 (40.306) Prec@5 60.156 (66.085)
Epoch: [25][830/5005] Time 0.202 (0.223) Data 0.046 (0.061) Loss 2.5574 (2.7062) Prec@1 42.969 (40.313) Prec@5 70.312 (66.094)
Epoch: [25][840/5005] Time 0.207 (0.223) Data 0.041 (0.061) Loss 2.7275 (2.7061) Prec@1 40.625 (40.326) Prec@5 69.922 (66.113)
Epoch: [25][850/5005] Time 0.201 (0.223) Data 0.058 (0.061) Loss 2.9253 (2.7052) Prec@1 37.891 (40.333) Prec@5 63.672 (66.133)
Epoch: [25][860/5005] Time 0.209 (0.223) Data 0.059 (0.061) Loss 2.7236 (2.7052) Prec@1 41.406 (40.344) Prec@5 63.672 (66.126)
Epoch: [25][870/5005] Time 0.237 (0.223) Data 0.150 (0.061) Loss 2.5653 (2.7038) Prec@1 43.359 (40.377) Prec@5 68.750 (66.143)
Epoch: [25][880/5005] Time 0.215 (0.223) Data 0.041 (0.062) Loss 2.6352 (2.7042) Prec@1 42.188 (40.377) Prec@5 65.234 (66.134)
Epoch: [25][890/5005] Time 0.212 (0.223) Data 0.051 (0.062) Loss 2.8810 (2.7031) Prec@1 37.109 (40.398) Prec@5 60.938 (66.146)
Epoch: [25][900/5005] Time 0.397 (0.223) Data 0.310 (0.062) Loss 2.6124 (2.7025) Prec@1 41.016 (40.397) Prec@5 70.312 (66.167)
Epoch: [25][910/5005] Time 0.206 (0.223) Data 0.051 (0.063) Loss 2.7669 (2.7019) Prec@1 41.016 (40.409) Prec@5 67.188 (66.176)
Epoch: [25][920/5005] Time 0.200 (0.224) Data 0.043 (0.063) Loss 2.6412 (2.7009) Prec@1 42.188 (40.438) Prec@5 68.750 (66.199)
Epoch: [25][930/5005] Time 0.206 (0.224) Data 0.044 (0.063) Loss 2.6716 (2.7002) Prec@1 44.141 (40.453) Prec@5 65.234 (66.212)
Epoch: [25][940/5005] Time 0.458 (0.225) Data 0.378 (0.064) Loss 2.3992 (2.7000) Prec@1 43.750 (40.448) Prec@5 70.703 (66.222)
Epoch: [25][950/5005] Time 0.198 (0.225) Data 0.046 (0.065) Loss 2.8285 (2.7003) Prec@1 40.625 (40.454) Prec@5 62.500 (66.222)
Epoch: [25][960/5005] Time 0.215 (0.226) Data 0.049 (0.066) Loss 2.8850 (2.7002) Prec@1 35.547 (40.462) Prec@5 62.500 (66.217)
Epoch: [25][970/5005] Time 0.204 (0.226) Data 0.051 (0.066) Loss 2.5402 (2.7002) Prec@1 41.016 (40.463) Prec@5 69.141 (66.215)
Epoch: [25][980/5005] Time 0.208 (0.225) Data 0.061 (0.067) Loss 2.6567 (2.6992) Prec@1 38.281 (40.470) Prec@5 65.234 (66.231)
Epoch: [25][990/5005] Time 0.209 (0.225) Data 0.052 (0.066) Loss 2.8069 (2.6993) Prec@1 35.156 (40.466) Prec@5 64.453 (66.235)
Epoch: [25][1000/5005] Time 0.214 (0.225) Data 0.048 (0.066) Loss 2.7109 (2.6989) Prec@1 42.188 (40.461) Prec@5 66.406 (66.249)
Epoch: [25][1010/5005] Time 0.210 (0.225) Data 0.042 (0.066) Loss 2.6361 (2.6982) Prec@1 38.672 (40.471) Prec@5 68.359 (66.258)
Epoch: [25][1020/5005] Time 0.211 (0.225) Data 0.043 (0.066) Loss 2.4982 (2.6983) Prec@1 46.484 (40.481) Prec@5 73.047 (66.263)
Epoch: [25][1030/5005] Time 0.204 (0.225) Data 0.042 (0.066) Loss 2.5716 (2.6973) Prec@1 41.406 (40.495) Prec@5 67.578 (66.275)
Epoch: [25][1040/5005] Time 0.205 (0.225) Data 0.045 (0.065) Loss 2.8175 (2.6971) Prec@1 35.547 (40.495) Prec@5 65.234 (66.277)
Epoch: [25][1050/5005] Time 0.211 (0.224) Data 0.047 (0.065) Loss 2.7220 (2.6975) Prec@1 41.016 (40.484) Prec@5 65.625 (66.262)
Epoch: [25][1060/5005] Time 0.205 (0.224) Data 0.044 (0.065) Loss 2.7883 (2.6973) Prec@1 41.016 (40.494) Prec@5 67.188 (66.270)
Epoch: [25][1070/5005] Time 0.216 (0.224) Data 0.043 (0.065) Loss 2.6725 (2.6970) Prec@1 39.062 (40.496) Prec@5 67.188 (66.270)
Epoch: [25][1080/5005] Time 0.201 (0.224) Data 0.045 (0.065) Loss 2.6952 (2.6974) Prec@1 40.625 (40.486) Prec@5 67.969 (66.269)
Epoch: [25][1090/5005] Time 0.211 (0.224) Data 0.041 (0.065) Loss 2.6104 (2.6968) Prec@1 41.406 (40.496) Prec@5 67.578 (66.276)
Epoch: [25][1100/5005] Time 0.216 (0.224) Data 0.043 (0.064) Loss 2.4451 (2.6964) Prec@1 42.578 (40.501) Prec@5 69.531 (66.282)
Epoch: [25][1110/5005] Time 0.215 (0.224) Data 0.048 (0.064) Loss 2.6740 (2.6961) Prec@1 37.109 (40.510) Prec@5 68.359 (66.287)
Epoch: [25][1120/5005] Time 0.199 (0.224) Data 0.064 (0.064) Loss 2.5709 (2.6949) Prec@1 42.188 (40.533) Prec@5 69.531 (66.309)
Epoch: [25][1130/5005] Time 0.205 (0.223) Data 0.046 (0.064) Loss 2.7315 (2.6950) Prec@1 37.500 (40.526) Prec@5 65.625 (66.305)
Epoch: [25][1140/5005] Time 0.201 (0.223) Data 0.059 (0.064) Loss 2.7383 (2.6942) Prec@1 42.969 (40.546) Prec@5 62.891 (66.311)
Epoch: [25][1150/5005] Time 0.212 (0.223) Data 0.041 (0.064) Loss 2.7154 (2.6934) Prec@1 39.453 (40.564) Prec@5 65.234 (66.326)
Epoch: [25][1160/5005] Time 0.215 (0.223) Data 0.042 (0.063) Loss 2.5979 (2.6930) Prec@1 46.094 (40.572) Prec@5 67.188 (66.332)
Epoch: [25][1170/5005] Time 0.220 (0.223) Data 0.040 (0.063) Loss 2.5348 (2.6927) Prec@1 41.797 (40.580) Prec@5 69.141 (66.340)
Epoch: [25][1180/5005] Time 0.215 (0.223) Data 0.045 (0.063) Loss 2.8725 (2.6925) Prec@1 40.625 (40.579) Prec@5 64.453 (66.346)
Epoch: [25][1190/5005] Time 0.207 (0.223) Data 0.045 (0.063) Loss 2.4411 (2.6919) Prec@1 43.750 (40.590) Prec@5 71.875 (66.355)
Epoch: [25][1200/5005] Time 0.206 (0.223) Data 0.045 (0.063) Loss 2.7625 (2.6920) Prec@1 35.938 (40.586) Prec@5 67.969 (66.362)
Epoch: [25][1210/5005] Time 0.239 (0.223) Data 0.154 (0.063) Loss 2.6820 (2.6925) Prec@1 39.844 (40.572) Prec@5 66.016 (66.352)
Epoch: [25][1220/5005] Time 0.217 (0.223) Data 0.043 (0.063) Loss 2.5671 (2.6925) Prec@1 39.062 (40.575) Prec@5 69.531 (66.356)
Epoch: [25][1230/5005] Time 0.422 (0.223) Data 0.341 (0.063) Loss 2.6385 (2.6923) Prec@1 41.016 (40.573) Prec@5 67.188 (66.355)
Epoch: [25][1240/5005] Time 0.295 (0.223) Data 0.211 (0.064) Loss 2.6136 (2.6920) Prec@1 42.188 (40.572) Prec@5 66.797 (66.354)
Epoch: [25][1250/5005] Time 0.196 (0.223) Data 0.058 (0.064) Loss 2.9006 (2.6921) Prec@1 37.500 (40.568) Prec@5 62.891 (66.346)
Epoch: [25][1260/5005] Time 0.213 (0.223) Data 0.045 (0.064) Loss 2.4000 (2.6914) Prec@1 44.141 (40.573) Prec@5 67.578 (66.357)
Epoch: [25][1270/5005] Time 0.213 (0.223) Data 0.042 (0.064) Loss 2.8385 (2.6919) Prec@1 36.328 (40.561) Prec@5 66.016 (66.353)
Epoch: [25][1280/5005] Time 0.354 (0.223) Data 0.270 (0.064) Loss 2.6041 (2.6919) Prec@1 42.188 (40.557) Prec@5 69.531 (66.353)
Epoch: [25][1290/5005] Time 0.214 (0.223) Data 0.046 (0.065) Loss 2.5552 (2.6915) Prec@1 44.141 (40.571) Prec@5 67.578 (66.355)
Epoch: [25][1300/5005] Time 0.197 (0.223) Data 0.045 (0.065) Loss 2.4676 (2.6914) Prec@1 46.484 (40.574) Prec@5 70.703 (66.356)
Epoch: [25][1310/5005] Time 0.367 (0.223) Data 0.270 (0.065) Loss 2.6554 (2.6911) Prec@1 40.234 (40.573) Prec@5 66.406 (66.368)
Epoch: [25][1320/5005] Time 0.203 (0.223) Data 0.046 (0.065) Loss 2.8583 (2.6909) Prec@1 36.719 (40.568) Prec@5 64.453 (66.372)
Epoch: [25][1330/5005] Time 0.201 (0.223) Data 0.045 (0.065) Loss 2.6652 (2.6911) Prec@1 40.625 (40.566) Prec@5 68.359 (66.370)
Epoch: [25][1340/5005] Time 0.202 (0.223) Data 0.046 (0.065) Loss 2.5901 (2.6907) Prec@1 41.016 (40.575) Prec@5 68.359 (66.374)
Epoch: [25][1350/5005] Time 0.197 (0.223) Data 0.100 (0.066) Loss 3.0266 (2.6908) Prec@1 37.891 (40.572) Prec@5 62.109 (66.370)
Epoch: [25][1360/5005] Time 0.196 (0.223) Data 0.061 (0.066) Loss 2.5388 (2.6903) Prec@1 46.484 (40.579) Prec@5 69.141 (66.372)
Epoch: [25][1370/5005] Time 0.209 (0.223) Data 0.046 (0.066) Loss 2.6126 (2.6897) Prec@1 41.016 (40.592) Prec@5 69.922 (66.380)
Epoch: [25][1380/5005] Time 0.209 (0.223) Data 0.040 (0.066) Loss 2.6084 (2.6894) Prec@1 40.625 (40.593) Prec@5 66.797 (66.393)
Epoch: [25][1390/5005] Time 0.356 (0.223) Data 0.277 (0.066) Loss 2.5888 (2.6892) Prec@1 42.578 (40.598) Prec@5 69.531 (66.396)
Epoch: [25][1400/5005] Time 0.210 (0.223) Data 0.046 (0.066) Loss 2.6468 (2.6884) Prec@1 39.062 (40.604) Prec@5 65.234 (66.411)
Epoch: [25][1410/5005] Time 0.207 (0.223) Data 0.042 (0.066) Loss 2.7084 (2.6879) Prec@1 41.797 (40.616) Prec@5 66.406 (66.421)
Epoch: [25][1420/5005] Time 0.204 (0.223) Data 0.042 (0.066) Loss 2.8620 (2.6877) Prec@1 40.625 (40.620) Prec@5 62.891 (66.427)
Epoch: [25][1430/5005] Time 0.663 (0.223) Data 0.574 (0.067) Loss 2.3084 (2.6872) Prec@1 44.531 (40.627) Prec@5 74.219 (66.444)
Epoch: [25][1440/5005] Time 0.195 (0.224) Data 0.047 (0.067) Loss 2.3468 (2.6868) Prec@1 43.359 (40.625) Prec@5 69.141 (66.448)
Epoch: [25][1450/5005] Time 0.218 (0.223) Data 0.042 (0.067) Loss 2.5589 (2.6863) Prec@1 46.484 (40.634) Prec@5 66.797 (66.449)
Epoch: [25][1460/5005] Time 0.199 (0.223) Data 0.046 (0.067) Loss 2.7384 (2.6862) Prec@1 38.672 (40.633) Prec@5 64.844 (66.454)
Epoch: [25][1470/5005] Time 0.210 (0.223) Data 0.045 (0.067) Loss 2.7261 (2.6859) Prec@1 37.891 (40.644) Prec@5 67.188 (66.464)
Epoch: [25][1480/5005] Time 0.207 (0.223) Data 0.049 (0.067) Loss 2.4010 (2.6857) Prec@1 44.531 (40.648) Prec@5 73.828 (66.469)
Epoch: [25][1490/5005] Time 0.209 (0.223) Data 0.047 (0.067) Loss 2.8655 (2.6852) Prec@1 39.844 (40.653) Prec@5 63.281 (66.476)
Epoch: [25][1500/5005] Time 0.340 (0.223) Data 0.252 (0.067) Loss 2.6760 (2.6847) Prec@1 40.234 (40.661) Prec@5 66.016 (66.486)
Epoch: [25][1510/5005] Time 0.202 (0.223) Data 0.045 (0.067) Loss 2.5285 (2.6842) Prec@1 38.672 (40.668) Prec@5 69.531 (66.499)
Epoch: [25][1520/5005] Time 0.204 (0.223) Data 0.040 (0.067) Loss 2.7729 (2.6839) Prec@1 42.578 (40.676) Prec@5 66.016 (66.504)
Epoch: [25][1530/5005] Time 0.209 (0.223) Data 0.046 (0.067) Loss 2.8547 (2.6839) Prec@1 40.234 (40.674) Prec@5 61.719 (66.500)
Epoch: [25][1540/5005] Time 0.211 (0.223) Data 0.124 (0.068) Loss 2.6960 (2.6837) Prec@1 37.500 (40.669) Prec@5 65.234 (66.499)
Epoch: [25][1550/5005] Time 0.207 (0.223) Data 0.043 (0.068) Loss 2.5895 (2.6832) Prec@1 41.797 (40.677) Prec@5 66.797 (66.501)
Epoch: [25][1560/5005] Time 0.195 (0.223) Data 0.055 (0.067) Loss 2.5899 (2.6830) Prec@1 44.141 (40.681) Prec@5 67.969 (66.513)
Epoch: [25][1570/5005] Time 0.346 (0.223) Data 0.259 (0.068) Loss 2.4653 (2.6822) Prec@1 44.922 (40.696) Prec@5 66.406 (66.524)
Epoch: [25][1580/5005] Time 0.207 (0.223) Data 0.047 (0.068) Loss 2.5946 (2.6822) Prec@1 42.188 (40.694) Prec@5 70.312 (66.520)
Epoch: [25][1590/5005] Time 0.192 (0.224) Data 0.047 (0.069) Loss 2.7372 (2.6822) Prec@1 37.109 (40.685) Prec@5 63.672 (66.521)
Epoch: [25][1600/5005] Time 0.201 (0.224) Data 0.049 (0.069) Loss 2.7765 (2.6823) Prec@1 41.406 (40.673) Prec@5 66.797 (66.524)
Epoch: [25][1610/5005] Time 0.203 (0.224) Data 0.049 (0.069) Loss 2.6438 (2.6820) Prec@1 39.453 (40.674) Prec@5 70.312 (66.533)
Epoch: [25][1620/5005] Time 0.207 (0.224) Data 0.041 (0.069) Loss 2.6853 (2.6816) Prec@1 40.234 (40.677) Prec@5 64.062 (66.537)
Epoch: [25][1630/5005] Time 0.527 (0.224) Data 0.444 (0.069) Loss 2.4706 (2.6814) Prec@1 42.969 (40.680) Prec@5 69.531 (66.538)
Epoch: [25][1640/5005] Time 0.204 (0.224) Data 0.044 (0.069) Loss 2.7014 (2.6814) Prec@1 44.531 (40.689) Prec@5 65.625 (66.535)
Epoch: [25][1650/5005] Time 0.209 (0.224) Data 0.047 (0.069) Loss 2.7647 (2.6811) Prec@1 39.062 (40.698) Prec@5 60.547 (66.539)
Epoch: [25][1660/5005] Time 0.209 (0.224) Data 0.047 (0.069) Loss 2.5435 (2.6802) Prec@1 44.531 (40.720) Prec@5 68.750 (66.546)
Epoch: [25][1670/5005] Time 0.212 (0.224) Data 0.043 (0.069) Loss 2.3585 (2.6801) Prec@1 45.703 (40.723) Prec@5 73.438 (66.548)
Epoch: [25][1680/5005] Time 0.213 (0.224) Data 0.047 (0.069) Loss 2.8388 (2.6803) Prec@1 39.844 (40.726) Prec@5 62.891 (66.549)
Epoch: [25][1690/5005] Time 0.213 (0.224) Data 0.043 (0.069) Loss 2.5579 (2.6797) Prec@1 40.625 (40.733) Prec@5 69.922 (66.554)
Epoch: [25][1700/5005] Time 0.206 (0.224) Data 0.045 (0.069) Loss 2.4533 (2.6788) Prec@1 44.141 (40.751) Prec@5 70.703 (66.572)
Epoch: [25][1710/5005] Time 0.364 (0.224) Data 0.281 (0.069) Loss 2.6115 (2.6781) Prec@1 41.016 (40.756) Prec@5 66.406 (66.582)
Epoch: [25][1720/5005] Time 0.209 (0.224) Data 0.045 (0.069) Loss 2.6191 (2.6778) Prec@1 42.578 (40.757) Prec@5 69.531 (66.588)
Epoch: [25][1730/5005] Time 0.204 (0.224) Data 0.039 (0.069) Loss 2.7006 (2.6776) Prec@1 38.281 (40.755) Prec@5 65.625 (66.592)
Epoch: [25][1740/5005] Time 0.208 (0.224) Data 0.038 (0.070) Loss 2.7713 (2.6771) Prec@1 39.453 (40.769) Prec@5 64.062 (66.601)
Epoch: [25][1750/5005] Time 0.195 (0.224) Data 0.057 (0.070) Loss 2.5893 (2.6766) Prec@1 40.625 (40.771) Prec@5 67.188 (66.607)
Epoch: [25][1760/5005] Time 0.203 (0.224) Data 0.100 (0.070) Loss 2.4006 (2.6762) Prec@1 42.578 (40.780) Prec@5 71.875 (66.611)
Epoch: [25][1770/5005] Time 0.198 (0.224) Data 0.054 (0.070) Loss 2.6576 (2.6760) Prec@1 37.109 (40.779) Prec@5 69.141 (66.614)
Epoch: [25][1780/5005] Time 0.203 (0.224) Data 0.046 (0.070) Loss 2.5774 (2.6757) Prec@1 41.797 (40.782) Prec@5 68.750 (66.617)
Epoch: [25][1790/5005] Time 0.199 (0.224) Data 0.086 (0.070) Loss 2.4603 (2.6750) Prec@1 44.531 (40.789) Prec@5 66.016 (66.624)
Epoch: [25][1800/5005] Time 0.296 (0.224) Data 0.208 (0.070) Loss 2.6410 (2.6746) Prec@1 44.531 (40.798) Prec@5 65.625 (66.634)
Epoch: [25][1810/5005] Time 0.200 (0.224) Data 0.048 (0.070) Loss 2.4647 (2.6742) Prec@1 44.141 (40.803) Prec@5 71.875 (66.640)
Epoch: [25][1820/5005] Time 0.197 (0.224) Data 0.049 (0.070) Loss 2.7964 (2.6742) Prec@1 39.453 (40.802) Prec@5 64.062 (66.637)
Epoch: [25][1830/5005] Time 0.208 (0.224) Data 0.046 (0.070) Loss 2.4177 (2.6735) Prec@1 45.312 (40.812) Prec@5 69.922 (66.648)
Epoch: [25][1840/5005] Time 0.204 (0.224) Data 0.047 (0.070) Loss 2.7168 (2.6732) Prec@1 40.625 (40.822) Prec@5 67.188 (66.655)
Epoch: [25][1850/5005] Time 0.307 (0.224) Data 0.218 (0.070) Loss 2.6692 (2.6726) Prec@1 37.891 (40.829) Prec@5 68.359 (66.664)
Epoch: [25][1860/5005] Time 0.199 (0.224) Data 0.057 (0.070) Loss 2.6733 (2.6726) Prec@1 45.312 (40.824) Prec@5 64.844 (66.665)
Epoch: [25][1870/5005] Time 0.208 (0.224) Data 0.054 (0.070) Loss 2.8333 (2.6727) Prec@1 34.766 (40.818) Prec@5 60.156 (66.660)
Epoch: [25][1880/5005] Time 0.192 (0.224) Data 0.063 (0.071) Loss 2.7681 (2.6727) Prec@1 37.891 (40.822) Prec@5 68.359 (66.660)
Epoch: [25][1890/5005] Time 0.200 (0.224) Data 0.092 (0.071) Loss 2.6176 (2.6724) Prec@1 46.094 (40.826) Prec@5 66.797 (66.665)
Epoch: [25][1900/5005] Time 0.206 (0.224) Data 0.048 (0.071) Loss 2.5915 (2.6727) Prec@1 42.969 (40.821) Prec@5 67.969 (66.658)
Epoch: [25][1910/5005] Time 0.197 (0.224) Data 0.112 (0.071) Loss 2.7383 (2.6724) Prec@1 42.969 (40.827) Prec@5 63.281 (66.659)
Epoch: [25][1920/5005] Time 0.330 (0.224) Data 0.250 (0.071) Loss 2.6098 (2.6719) Prec@1 39.453 (40.832) Prec@5 66.016 (66.665)
Epoch: [25][1930/5005] Time 0.201 (0.224) Data 0.048 (0.071) Loss 2.5719 (2.6717) Prec@1 44.141 (40.837) Prec@5 68.750 (66.668)
Epoch: [25][1940/5005] Time 0.201 (0.224) Data 0.044 (0.071) Loss 2.3499 (2.6712) Prec@1 45.703 (40.841) Prec@5 72.266 (66.677)
Epoch: [25][1950/5005] Time 0.200 (0.224) Data 0.047 (0.071) Loss 2.6380 (2.6710) Prec@1 38.672 (40.843) Prec@5 65.625 (66.681)
Epoch: [25][1960/5005] Time 0.200 (0.224) Data 0.045 (0.071) Loss 2.5916 (2.6706) Prec@1 42.969 (40.849) Prec@5 67.969 (66.691)
Epoch: [25][1970/5005] Time 0.201 (0.224) Data 0.062 (0.071) Loss 2.7153 (2.6706) Prec@1 38.281 (40.849) Prec@5 63.281 (66.689)
Epoch: [25][1980/5005] Time 0.203 (0.224) Data 0.043 (0.071) Loss 2.4650 (2.6703) Prec@1 44.141 (40.853) Prec@5 68.750 (66.696)
Epoch: [25][1990/5005] Time 0.209 (0.224) Data 0.045 (0.071) Loss 2.4451 (2.6699) Prec@1 44.531 (40.863) Prec@5 69.922 (66.701)
Epoch: [25][2000/5005] Time 0.199 (0.224) Data 0.058 (0.071) Loss 2.6179 (2.6698) Prec@1 42.969 (40.868) Prec@5 67.578 (66.693)
Epoch: [25][2010/5005] Time 0.205 (0.224) Data 0.050 (0.071) Loss 2.5040 (2.6699) Prec@1 44.141 (40.867) Prec@5 69.922 (66.689)
Epoch: [25][2020/5005] Time 0.205 (0.224) Data 0.043 (0.071) Loss 2.5742 (2.6697) Prec@1 46.484 (40.875) Prec@5 70.312 (66.692)
Epoch: [25][2030/5005] Time 0.204 (0.224) Data 0.044 (0.071) Loss 2.6066 (2.6696) Prec@1 38.281 (40.877) Prec@5 67.578 (66.693)
Epoch: [25][2040/5005] Time 0.210 (0.224) Data 0.043 (0.071) Loss 2.4400 (2.6692) Prec@1 42.188 (40.883) Prec@5 69.922 (66.702)
Epoch: [25][2050/5005] Time 0.208 (0.224) Data 0.040 (0.071) Loss 2.6774 (2.6689) Prec@1 46.484 (40.890) Prec@5 68.750 (66.711)
Epoch: [25][2060/5005] Time 0.215 (0.224) Data 0.043 (0.072) Loss 2.5161 (2.6686) Prec@1 41.797 (40.893) Prec@5 69.531 (66.721)
Epoch: [25][2070/5005] Time 0.205 (0.224) Data 0.044 (0.072) Loss 2.6968 (2.6687) Prec@1 39.844 (40.889) Prec@5 68.359 (66.720)
Epoch: [25][2080/5005] Time 0.199 (0.224) Data 0.053 (0.071) Loss 2.8362 (2.6686) Prec@1 35.156 (40.892) Prec@5 65.234 (66.719)
Epoch: [25][2090/5005] Time 0.203 (0.224) Data 0.046 (0.071) Loss 2.3290 (2.6678) Prec@1 46.094 (40.904) Prec@5 70.703 (66.732)
Epoch: [25][2100/5005] Time 0.197 (0.224) Data 0.050 (0.072) Loss 2.6570 (2.6672) Prec@1 38.281 (40.912) Prec@5 67.969 (66.740)
Epoch: [25][2110/5005] Time 0.441 (0.224) Data 0.360 (0.072) Loss 2.5208 (2.6672) Prec@1 43.750 (40.914) Prec@5 68.359 (66.737)
Epoch: [25][2120/5005] Time 0.200 (0.224) Data 0.046 (0.072) Loss 2.7806 (2.6668) Prec@1 42.188 (40.923) Prec@5 65.234 (66.748)
Epoch: [25][2130/5005] Time 0.208 (0.224) Data 0.050 (0.072) Loss 2.6640 (2.6662) Prec@1 40.234 (40.939) Prec@5 67.188 (66.756)
Epoch: [25][2140/5005] Time 0.198 (0.224) Data 0.045 (0.072) Loss 2.5352 (2.6661) Prec@1 45.703 (40.946) Prec@5 67.188 (66.757)
Epoch: [25][2150/5005] Time 0.196 (0.224) Data 0.059 (0.072) Loss 2.5182 (2.6657) Prec@1 42.578 (40.948) Prec@5 68.750 (66.767)
Epoch: [25][2160/5005] Time 0.204 (0.224) Data 0.041 (0.072) Loss 2.5369 (2.6653) Prec@1 44.922 (40.956) Prec@5 67.969 (66.775)
Epoch: [25][2170/5005] Time 0.201 (0.224) Data 0.050 (0.072) Loss 2.5377 (2.6648) Prec@1 43.359 (40.963) Prec@5 69.922 (66.784)
Epoch: [25][2180/5005] Time 0.409 (0.224) Data 0.323 (0.072) Loss 2.6308 (2.6646) Prec@1 42.578 (40.965) Prec@5 67.578 (66.788)
Epoch: [25][2190/5005] Time 0.208 (0.224) Data 0.045 (0.072) Loss 2.9155 (2.6646) Prec@1 37.109 (40.962) Prec@5 64.844 (66.788)
Epoch: [25][2200/5005] Time 0.207 (0.224) Data 0.044 (0.072) Loss 2.6678 (2.6647) Prec@1 42.578 (40.961) Prec@5 64.453 (66.789)
Epoch: [25][2210/5005] Time 0.335 (0.224) Data 0.250 (0.072) Loss 2.6737 (2.6646) Prec@1 40.234 (40.965) Prec@5 66.797 (66.791)
Epoch: [25][2220/5005] Time 0.196 (0.224) Data 0.044 (0.072) Loss 2.6901 (2.6641) Prec@1 40.625 (40.976) Prec@5 66.016 (66.797)
Epoch: [25][2230/5005] Time 0.193 (0.224) Data 0.116 (0.072) Loss 2.4967 (2.6641) Prec@1 41.016 (40.975) Prec@5 70.703 (66.797)
Epoch: [25][2240/5005] Time 0.209 (0.224) Data 0.126 (0.073) Loss 2.5490 (2.6641) Prec@1 42.969 (40.975) Prec@5 67.188 (66.800)
Epoch: [25][2250/5005] Time 0.197 (0.224) Data 0.062 (0.073) Loss 2.5558 (2.6640) Prec@1 40.234 (40.980) Prec@5 69.141 (66.798)
Epoch: [25][2260/5005] Time 0.200 (0.224) Data 0.048 (0.073) Loss 2.5564 (2.6635) Prec@1 41.016 (40.984) Prec@5 68.359 (66.803)
Epoch: [25][2270/5005] Time 0.210 (0.224) Data 0.040 (0.073) Loss 2.8426 (2.6632) Prec@1 35.938 (40.987) Prec@5 63.281 (66.805)
Epoch: [25][2280/5005] Time 0.197 (0.224) Data 0.042 (0.073) Loss 2.6913 (2.6631) Prec@1 42.578 (40.995) Prec@5 67.969 (66.808)
Epoch: [25][2290/5005] Time 0.203 (0.224) Data 0.050 (0.073) Loss 2.5732 (2.6627) Prec@1 42.188 (41.000) Prec@5 67.578 (66.811)
Epoch: [25][2300/5005] Time 0.207 (0.224) Data 0.047 (0.073) Loss 2.5189 (2.6625) Prec@1 41.406 (41.005) Prec@5 67.578 (66.812)
Epoch: [25][2310/5005] Time 0.198 (0.224) Data 0.053 (0.073) Loss 2.4256 (2.6620) Prec@1 44.141 (41.014) Prec@5 70.312 (66.821)
Epoch: [25][2320/5005] Time 0.325 (0.224) Data 0.234 (0.073) Loss 2.7676 (2.6619) Prec@1 39.453 (41.016) Prec@5 62.500 (66.821)
Epoch: [25][2330/5005] Time 0.195 (0.224) Data 0.044 (0.073) Loss 2.6973 (2.6615) Prec@1 39.453 (41.021) Prec@5 64.453 (66.827)
Epoch: [25][2340/5005] Time 0.195 (0.224) Data 0.043 (0.073) Loss 2.5750 (2.6610) Prec@1 40.234 (41.027) Prec@5 66.406 (66.835)
Epoch: [25][2350/5005] Time 0.206 (0.224) Data 0.041 (0.073) Loss 2.6100 (2.6607) Prec@1 41.406 (41.030) Prec@5 66.797 (66.843)
Epoch: [25][2360/5005] Time 0.202 (0.225) Data 0.049 (0.074) Loss 2.4598 (2.6605) Prec@1 43.750 (41.034) Prec@5 69.922 (66.842)
Epoch: [25][2370/5005] Time 0.216 (0.224) Data 0.098 (0.073) Loss 2.7235 (2.6604) Prec@1 36.328 (41.037) Prec@5 66.406 (66.841)
Epoch: [25][2380/5005] Time 0.207 (0.225) Data 0.047 (0.074) Loss 2.6753 (2.6602) Prec@1 46.484 (41.046) Prec@5 64.062 (66.845)
Epoch: [25][2390/5005] Time 0.195 (0.224) Data 0.046 (0.074) Loss 2.5645 (2.6598) Prec@1 45.312 (41.054) Prec@5 65.234 (66.853)
Epoch: [25][2400/5005] Time 0.200 (0.224) Data 0.042 (0.074) Loss 2.6582 (2.6597) Prec@1 42.188 (41.053) Prec@5 66.406 (66.855)
Epoch: [25][2410/5005] Time 0.357 (0.224) Data 0.272 (0.074) Loss 2.7683 (2.6595) Prec@1 39.062 (41.060) Prec@5 63.672 (66.861)
Epoch: [25][2420/5005] Time 0.222 (0.224) Data 0.135 (0.074) Loss 2.6952 (2.6592) Prec@1 41.406 (41.068) Prec@5 66.797 (66.867)
Epoch: [25][2430/5005] Time 0.205 (0.224) Data 0.045 (0.074) Loss 2.4679 (2.6592) Prec@1 46.094 (41.066) Prec@5 69.531 (66.864)
Epoch: [25][2440/5005] Time 0.196 (0.224) Data 0.046 (0.074) Loss 2.3643 (2.6591) Prec@1 44.922 (41.071) Prec@5 72.266 (66.865)
Epoch: [25][2450/5005] Time 0.197 (0.224) Data 0.049 (0.074) Loss 2.5020 (2.6587) Prec@1 44.141 (41.076) Prec@5 68.750 (66.867)
Epoch: [25][2460/5005] Time 0.293 (0.224) Data 0.200 (0.074) Loss 2.5903 (2.6585) Prec@1 41.406 (41.079) Prec@5 67.969 (66.865)
Epoch: [25][2470/5005] Time 0.475 (0.225) Data 0.393 (0.074) Loss 2.4402 (2.6582) Prec@1 44.531 (41.081) Prec@5 67.969 (66.868)
Epoch: [25][2480/5005] Time 0.197 (0.224) Data 0.104 (0.074) Loss 2.7021 (2.6580) Prec@1 39.844 (41.082) Prec@5 65.625 (66.869)
Epoch: [25][2490/5005] Time 0.343 (0.224) Data 0.253 (0.074) Loss 2.4923 (2.6579) Prec@1 42.969 (41.087) Prec@5 71.094 (66.872)
Epoch: [25][2500/5005] Time 0.202 (0.224) Data 0.104 (0.074) Loss 2.6824 (2.6577) Prec@1 40.234 (41.090) Prec@5 68.750 (66.876)
Epoch: [25][2510/5005] Time 0.492 (0.225) Data 0.398 (0.074) Loss 2.7051 (2.6577) Prec@1 41.016 (41.093) Prec@5 66.016 (66.874)
Epoch: [25][2520/5005] Time 0.198 (0.225) Data 0.093 (0.074) Loss 2.5602 (2.6575) Prec@1 45.703 (41.097) Prec@5 68.359 (66.874)
Epoch: [25][2530/5005] Time 0.193 (0.225) Data 0.051 (0.074) Loss 2.7278 (2.6574) Prec@1 39.844 (41.101) Prec@5 64.844 (66.877)
Epoch: [25][2540/5005] Time 0.198 (0.225) Data 0.046 (0.074) Loss 2.5747 (2.6571) Prec@1 39.453 (41.109) Prec@5 68.359 (66.884)
Epoch: [25][2550/5005] Time 0.201 (0.224) Data 0.047 (0.074) Loss 2.6239 (2.6569) Prec@1 41.016 (41.111) Prec@5 67.578 (66.888)
Epoch: [25][2560/5005] Time 0.480 (0.225) Data 0.405 (0.074) Loss 2.8488 (2.6568) Prec@1 36.328 (41.114) Prec@5 63.672 (66.889)
Epoch: [25][2570/5005] Time 0.290 (0.225) Data 0.210 (0.074) Loss 2.7035 (2.6568) Prec@1 38.672 (41.113) Prec@5 66.406 (66.889)
Epoch: [25][2580/5005] Time 0.208 (0.225) Data 0.046 (0.074) Loss 2.7439 (2.6571) Prec@1 38.672 (41.110) Prec@5 62.109 (66.878)
Epoch: [25][2590/5005] Time 0.207 (0.225) Data 0.039 (0.074) Loss 2.7887 (2.6567) Prec@1 38.672 (41.117) Prec@5 65.234 (66.884)
Epoch: [25][2600/5005] Time 0.206 (0.224) Data 0.046 (0.074) Loss 2.7630 (2.6566) Prec@1 37.891 (41.118) Prec@5 64.453 (66.889)
Epoch: [25][2610/5005] Time 0.374 (0.224) Data 0.292 (0.074) Loss 2.7362 (2.6563) Prec@1 42.578 (41.125) Prec@5 64.844 (66.892)
Epoch: [25][2620/5005] Time 0.207 (0.224) Data 0.051 (0.074) Loss 2.4587 (2.6560) Prec@1 40.625 (41.128) Prec@5 72.266 (66.899)
Epoch: [25][2630/5005] Time 0.202 (0.225) Data 0.048 (0.075) Loss 2.8809 (2.6561) Prec@1 37.109 (41.130) Prec@5 65.234 (66.894)
Epoch: [25][2640/5005] Time 0.208 (0.225) Data 0.045 (0.075) Loss 2.7636 (2.6560) Prec@1 37.891 (41.136) Prec@5 63.672 (66.896)
Epoch: [25][2650/5005] Time 0.201 (0.224) Data 0.099 (0.075) Loss 2.7280 (2.6558) Prec@1 38.672 (41.139) Prec@5 60.938 (66.893)
Epoch: [25][2660/5005] Time 0.208 (0.225) Data 0.043 (0.075) Loss 2.4796 (2.6555) Prec@1 43.750 (41.142) Prec@5 69.141 (66.899)
Epoch: [25][2670/5005] Time 0.239 (0.225) Data 0.147 (0.075) Loss 2.3573 (2.6551) Prec@1 42.969 (41.149) Prec@5 72.266 (66.904)
Epoch: [25][2680/5005] Time 0.207 (0.225) Data 0.043 (0.075) Loss 2.5441 (2.6547) Prec@1 43.359 (41.157) Prec@5 69.922 (66.911)
Epoch: [25][2690/5005] Time 0.205 (0.225) Data 0.045 (0.075) Loss 2.4341 (2.6544) Prec@1 47.266 (41.161) Prec@5 72.656 (66.919)
Epoch: [25][2700/5005] Time 0.210 (0.225) Data 0.047 (0.075) Loss 2.7619 (2.6543) Prec@1 38.281 (41.159) Prec@5 67.188 (66.922)
Epoch: [25][2710/5005] Time 0.211 (0.225) Data 0.040 (0.075) Loss 2.4883 (2.6543) Prec@1 44.141 (41.156) Prec@5 70.703 (66.920)
Epoch: [25][2720/5005] Time 0.191 (0.225) Data 0.081 (0.075) Loss 2.4941 (2.6541) Prec@1 44.922 (41.158) Prec@5 69.141 (66.924)
Epoch: [25][2730/5005] Time 0.199 (0.225) Data 0.045 (0.075) Loss 2.6435 (2.6536) Prec@1 39.453 (41.167) Prec@5 67.578 (66.934)
Epoch: [25][2740/5005] Time 0.201 (0.225) Data 0.065 (0.075) Loss 2.5947 (2.6533) Prec@1 40.234 (41.169) Prec@5 67.969 (66.936)
Epoch: [25][2750/5005] Time 0.200 (0.225) Data 0.052 (0.075) Loss 2.4657 (2.6531) Prec@1 41.406 (41.176) Prec@5 71.094 (66.941)
Epoch: [25][2760/5005] Time 0.207 (0.225) Data 0.045 (0.075) Loss 2.5676 (2.6528) Prec@1 44.531 (41.176) Prec@5 69.922 (66.945)
Epoch: [25][2770/5005] Time 0.196 (0.225) Data 0.041 (0.075) Loss 2.5274 (2.6527) Prec@1 41.016 (41.178) Prec@5 70.703 (66.948)
Epoch: [25][2780/5005] Time 0.212 (0.225) Data 0.045 (0.075) Loss 2.8675 (2.6526) Prec@1 37.891 (41.180) Prec@5 63.672 (66.948)
Epoch: [25][2790/5005] Time 0.206 (0.225) Data 0.040 (0.075) Loss 2.8607 (2.6526) Prec@1 36.719 (41.180) Prec@5 61.719 (66.947)
Epoch: [25][2800/5005] Time 0.358 (0.225) Data 0.276 (0.075) Loss 2.3071 (2.6523) Prec@1 47.266 (41.189) Prec@5 68.359 (66.950)
Epoch: [25][2810/5005] Time 0.199 (0.225) Data 0.049 (0.075) Loss 2.6841 (2.6521) Prec@1 42.969 (41.195) Prec@5 67.188 (66.953)
Epoch: [25][2820/5005] Time 0.197 (0.225) Data 0.108 (0.075) Loss 2.3025 (2.6519) Prec@1 42.188 (41.195) Prec@5 69.922 (66.954)
Epoch: [25][2830/5005] Time 0.194 (0.225) Data 0.048 (0.075) Loss 2.9259 (2.6520) Prec@1 39.453 (41.191) Prec@5 59.375 (66.953)
Epoch: [25][2840/5005] Time 0.204 (0.225) Data 0.049 (0.076) Loss 2.6622 (2.6518) Prec@1 39.453 (41.193) Prec@5 67.969 (66.957)
Epoch: [25][2850/5005] Time 0.196 (0.225) Data 0.092 (0.076) Loss 2.5606 (2.6515) Prec@1 45.312 (41.200) Prec@5 66.797 (66.964)
Epoch: [25][2860/5005] Time 0.204 (0.225) Data 0.051 (0.076) Loss 2.5543 (2.6515) Prec@1 45.703 (41.199) Prec@5 69.141 (66.965)
Epoch: [25][2870/5005] Time 0.208 (0.225) Data 0.051 (0.076) Loss 2.6546 (2.6510) Prec@1 41.797 (41.211) Prec@5 67.188 (66.974)
Epoch: [25][2880/5005] Time 0.212 (0.225) Data 0.045 (0.076) Loss 2.5410 (2.6509) Prec@1 43.359 (41.213) Prec@5 69.531 (66.975)
Epoch: [25][2890/5005] Time 0.211 (0.225) Data 0.053 (0.076) Loss 2.6341 (2.6507) Prec@1 41.406 (41.220) Prec@5 65.625 (66.980)
Epoch: [25][2900/5005] Time 0.193 (0.225) Data 0.088 (0.076) Loss 2.3461 (2.6503) Prec@1 44.922 (41.227) Prec@5 73.828 (66.987)
Epoch: [25][2910/5005] Time 0.200 (0.225) Data 0.091 (0.076) Loss 2.5603 (2.6501) Prec@1 42.578 (41.231) Prec@5 68.750 (66.991)
Epoch: [25][2920/5005] Time 0.201 (0.225) Data 0.047 (0.076) Loss 2.7791 (2.6501) Prec@1 40.625 (41.232) Prec@5 66.406 (66.996)
Epoch: [25][2930/5005] Time 0.208 (0.225) Data 0.051 (0.076) Loss 2.8102 (2.6500) Prec@1 37.109 (41.239) Prec@5 65.625 (66.996)
Epoch: [25][2940/5005] Time 0.214 (0.225) Data 0.044 (0.076) Loss 2.7686 (2.6496) Prec@1 37.891 (41.243) Prec@5 65.625 (67.000)
Epoch: [25][2950/5005] Time 0.200 (0.225) Data 0.047 (0.076) Loss 2.8168 (2.6493) Prec@1 37.109 (41.250) Prec@5 67.969 (67.010)
Epoch: [25][2960/5005] Time 0.192 (0.225) Data 0.102 (0.076) Loss 2.5983 (2.6490) Prec@1 42.578 (41.257) Prec@5 64.453 (67.018)
Epoch: [25][2970/5005] Time 0.201 (0.225) Data 0.045 (0.076) Loss 2.6840 (2.6487) Prec@1 38.281 (41.257) Prec@5 67.188 (67.025)
Epoch: [25][2980/5005] Time 0.196 (0.225) Data 0.098 (0.076) Loss 2.5500 (2.6485) Prec@1 42.969 (41.259) Prec@5 68.359 (67.028)
Epoch: [25][2990/5005] Time 0.197 (0.225) Data 0.057 (0.076) Loss 2.6192 (2.6483) Prec@1 39.844 (41.261) Prec@5 68.359 (67.029)
Epoch: [25][3000/5005] Time 0.196 (0.225) Data 0.040 (0.076) Loss 2.5084 (2.6479) Prec@1 41.797 (41.270) Prec@5 67.578 (67.035)
Epoch: [25][3010/5005] Time 0.257 (0.225) Data 0.174 (0.076) Loss 2.5519 (2.6478) Prec@1 42.578 (41.271) Prec@5 68.359 (67.037)
Epoch: [25][3020/5005] Time 0.203 (0.225) Data 0.065 (0.076) Loss 2.4263 (2.6477) Prec@1 42.578 (41.272) Prec@5 69.531 (67.037)
Epoch: [25][3030/5005] Time 0.210 (0.225) Data 0.049 (0.076) Loss 2.6529 (2.6476) Prec@1 44.922 (41.276) Prec@5 68.750 (67.040)
Epoch: [25][3040/5005] Time 0.204 (0.225) Data 0.051 (0.076) Loss 2.5095 (2.6473) Prec@1 44.922 (41.282) Prec@5 67.188 (67.041)
Epoch: [25][3050/5005] Time 0.201 (0.225) Data 0.047 (0.076) Loss 2.5473 (2.6471) Prec@1 36.719 (41.283) Prec@5 68.750 (67.046)
Epoch: [25][3060/5005] Time 0.207 (0.225) Data 0.045 (0.076) Loss 2.4212 (2.6468) Prec@1 44.531 (41.287) Prec@5 69.922 (67.050)
Epoch: [25][3070/5005] Time 0.193 (0.225) Data 0.090 (0.076) Loss 2.5594 (2.6466) Prec@1 43.750 (41.289) Prec@5 70.703 (67.051)
Epoch: [25][3080/5005] Time 0.189 (0.225) Data 0.050 (0.076) Loss 2.5138 (2.6465) Prec@1 40.625 (41.291) Prec@5 66.797 (67.051)
Epoch: [25][3090/5005] Time 0.197 (0.225) Data 0.045 (0.076) Loss 2.8228 (2.6462) Prec@1 36.328 (41.292) Prec@5 63.672 (67.056)
Epoch: [25][3100/5005] Time 0.576 (0.225) Data 0.493 (0.077) Loss 2.5928 (2.6460) Prec@1 41.797 (41.293) Prec@5 71.484 (67.059)
Epoch: [25][3110/5005] Time 0.200 (0.225) Data 0.059 (0.077) Loss 2.5145 (2.6457) Prec@1 45.312 (41.298) Prec@5 72.656 (67.067)
Epoch: [25][3120/5005] Time 0.199 (0.225) Data 0.052 (0.077) Loss 2.5724 (2.6454) Prec@1 43.750 (41.301) Prec@5 68.359 (67.069)
Epoch: [25][3130/5005] Time 0.211 (0.225) Data 0.047 (0.077) Loss 2.7940 (2.6451) Prec@1 37.109 (41.308) Prec@5 64.062 (67.072)
Epoch: [25][3140/5005] Time 0.189 (0.225) Data 0.097 (0.077) Loss 2.2861 (2.6447) Prec@1 49.609 (41.319) Prec@5 72.656 (67.077)
Epoch: [25][3150/5005] Time 0.196 (0.225) Data 0.097 (0.077) Loss 2.5611 (2.6443) Prec@1 44.922 (41.326) Prec@5 69.531 (67.082)
Epoch: [25][3160/5005] Time 0.202 (0.225) Data 0.050 (0.077) Loss 2.3543 (2.6442) Prec@1 44.531 (41.329) Prec@5 72.266 (67.087)
Epoch: [25][3170/5005] Time 0.208 (0.225) Data 0.048 (0.077) Loss 2.7077 (2.6441) Prec@1 41.797 (41.332) Prec@5 66.797 (67.087)
Epoch: [25][3180/5005] Time 0.205 (0.225) Data 0.046 (0.077) Loss 2.3925 (2.6440) Prec@1 49.219 (41.336) Prec@5 71.484 (67.089)
Epoch: [25][3190/5005] Time 0.201 (0.225) Data 0.049 (0.077) Loss 2.5754 (2.6438) Prec@1 44.141 (41.337) Prec@5 69.922 (67.092)
Epoch: [25][3200/5005] Time 0.209 (0.225) Data 0.058 (0.077) Loss 2.6110 (2.6435) Prec@1 38.281 (41.340) Prec@5 68.359 (67.099)
Epoch: [25][3210/5005] Time 0.206 (0.225) Data 0.047 (0.077) Loss 2.6162 (2.6433) Prec@1 44.141 (41.347) Prec@5 70.312 (67.106)
Epoch: [25][3220/5005] Time 0.208 (0.225) Data 0.040 (0.077) Loss 2.6236 (2.6430) Prec@1 44.922 (41.352) Prec@5 66.406 (67.108)
Epoch: [25][3230/5005] Time 0.205 (0.225) Data 0.051 (0.077) Loss 2.4595 (2.6426) Prec@1 44.141 (41.358) Prec@5 69.922 (67.116)
Epoch: [25][3240/5005] Time 0.203 (0.225) Data 0.045 (0.077) Loss 2.8454 (2.6429) Prec@1 40.625 (41.356) Prec@5 64.844 (67.113)
Epoch: [25][3250/5005] Time 0.196 (0.225) Data 0.046 (0.077) Loss 2.4950 (2.6427) Prec@1 45.312 (41.360) Prec@5 68.750 (67.116)
Epoch: [25][3260/5005] Time 0.198 (0.225) Data 0.044 (0.077) Loss 2.4564 (2.6424) Prec@1 45.312 (41.360) Prec@5 68.750 (67.122)
Epoch: [25][3270/5005] Time 0.204 (0.225) Data 0.040 (0.077) Loss 2.7597 (2.6422) Prec@1 38.672 (41.363) Prec@5 62.891 (67.126)
Epoch: [25][3280/5005] Time 0.198 (0.225) Data 0.043 (0.077) Loss 2.5001 (2.6421) Prec@1 44.141 (41.365) Prec@5 68.750 (67.126)
Epoch: [25][3290/5005] Time 0.202 (0.225) Data 0.054 (0.077) Loss 2.5600 (2.6417) Prec@1 43.359 (41.372) Prec@5 69.531 (67.133)
Epoch: [25][3300/5005] Time 0.203 (0.225) Data 0.051 (0.077) Loss 2.5629 (2.6416) Prec@1 38.672 (41.375) Prec@5 67.578 (67.135)
Epoch: [25][3310/5005] Time 0.204 (0.225) Data 0.049 (0.077) Loss 2.4557 (2.6414) Prec@1 41.406 (41.376) Prec@5 71.875 (67.139)
Epoch: [25][3320/5005] Time 0.616 (0.225) Data 0.527 (0.077) Loss 2.5803 (2.6412) Prec@1 46.484 (41.380) Prec@5 65.625 (67.142)
Epoch: [25][3330/5005] Time 0.212 (0.225) Data 0.132 (0.077) Loss 2.6516 (2.6411) Prec@1 42.969 (41.383) Prec@5 64.844 (67.142)
Epoch: [25][3340/5005] Time 0.203 (0.225) Data 0.043 (0.077) Loss 2.6523 (2.6409) Prec@1 40.234 (41.385) Prec@5 66.406 (67.145)
Epoch: [25][3350/5005] Time 0.202 (0.225) Data 0.045 (0.077) Loss 2.6994 (2.6407) Prec@1 39.453 (41.388) Prec@5 66.797 (67.149)
Epoch: [25][3360/5005] Time 0.209 (0.225) Data 0.042 (0.077) Loss 2.5245 (2.6406) Prec@1 42.578 (41.391) Prec@5 69.922 (67.152)
Epoch: [25][3370/5005] Time 0.504 (0.225) Data 0.417 (0.077) Loss 2.6590 (2.6405) Prec@1 36.719 (41.390) Prec@5 67.969 (67.152)
Epoch: [25][3380/5005] Time 0.207 (0.225) Data 0.049 (0.077) Loss 2.4172 (2.6401) Prec@1 42.188 (41.394) Prec@5 74.609 (67.160)
Epoch: [25][3390/5005] Time 0.203 (0.225) Data 0.042 (0.077) Loss 2.4168 (2.6402) Prec@1 44.531 (41.393) Prec@5 70.703 (67.158)
Epoch: [25][3400/5005] Time 0.205 (0.225) Data 0.039 (0.077) Loss 2.5390 (2.6401) Prec@1 42.578 (41.394) Prec@5 67.969 (67.159)
Epoch: [25][3410/5005] Time 0.400 (0.225) Data 0.314 (0.077) Loss 2.4769 (2.6398) Prec@1 44.922 (41.398) Prec@5 70.703 (67.165)
Epoch: [25][3420/5005] Time 0.206 (0.225) Data 0.045 (0.077) Loss 2.6170 (2.6396) Prec@1 42.188 (41.397) Prec@5 68.359 (67.167)
Epoch: [25][3430/5005] Time 0.200 (0.225) Data 0.048 (0.077) Loss 2.5630 (2.6394) Prec@1 43.750 (41.402) Prec@5 67.188 (67.170)
Epoch: [25][3440/5005] Time 0.204 (0.225) Data 0.053 (0.077) Loss 2.6860 (2.6392) Prec@1 39.844 (41.405) Prec@5 64.844 (67.173)
Epoch: [25][3450/5005] Time 0.200 (0.225) Data 0.090 (0.077) Loss 2.4252 (2.6388) Prec@1 46.484 (41.410) Prec@5 68.750 (67.178)
Epoch: [25][3460/5005] Time 0.200 (0.225) Data 0.049 (0.077) Loss 2.4856 (2.6387) Prec@1 46.875 (41.414) Prec@5 69.531 (67.180)
Epoch: [25][3470/5005] Time 0.200 (0.225) Data 0.043 (0.077) Loss 2.4281 (2.6384) Prec@1 47.656 (41.419) Prec@5 69.531 (67.185)
Epoch: [25][3480/5005] Time 0.209 (0.225) Data 0.048 (0.077) Loss 2.5101 (2.6379) Prec@1 45.703 (41.429) Prec@5 71.094 (67.193)
Epoch: [25][3490/5005] Time 0.195 (0.225) Data 0.054 (0.077) Loss 2.7598 (2.6378) Prec@1 38.672 (41.432) Prec@5 68.359 (67.196)
Epoch: [25][3500/5005] Time 0.209 (0.225) Data 0.041 (0.077) Loss 2.4263 (2.6377) Prec@1 46.484 (41.434) Prec@5 73.047 (67.198)
Epoch: [25][3510/5005] Time 0.209 (0.225) Data 0.050 (0.077) Loss 2.4034 (2.6374) Prec@1 46.484 (41.439) Prec@5 71.094 (67.201)
Epoch: [25][3520/5005] Time 0.210 (0.225) Data 0.055 (0.077) Loss 2.7461 (2.6372) Prec@1 42.188 (41.444) Prec@5 64.844 (67.205)
Epoch: [25][3530/5005] Time 0.201 (0.225) Data 0.045 (0.077) Loss 2.6405 (2.6369) Prec@1 39.844 (41.451) Prec@5 67.578 (67.211)
Epoch: [25][3540/5005] Time 0.212 (0.225) Data 0.042 (0.077) Loss 2.5529 (2.6365) Prec@1 40.234 (41.454) Prec@5 67.578 (67.217)
Epoch: [25][3550/5005] Time 0.203 (0.225) Data 0.047 (0.077) Loss 2.6631 (2.6363) Prec@1 40.625 (41.457) Prec@5 66.797 (67.223)
Epoch: [25][3560/5005] Time 0.209 (0.225) Data 0.050 (0.077) Loss 2.5709 (2.6360) Prec@1 42.578 (41.462) Prec@5 69.922 (67.228)
Epoch: [25][3570/5005] Time 0.235 (0.225) Data 0.147 (0.077) Loss 2.7200 (2.6357) Prec@1 38.281 (41.468) Prec@5 64.844 (67.231)
Epoch: [25][3580/5005] Time 0.205 (0.225) Data 0.047 (0.077) Loss 2.4898 (2.6356) Prec@1 46.094 (41.470) Prec@5 69.141 (67.234)
Epoch: [25][3590/5005] Time 0.215 (0.225) Data 0.081 (0.077) Loss 2.6034 (2.6351) Prec@1 43.359 (41.479) Prec@5 69.141 (67.242)
Epoch: [25][3600/5005] Time 0.204 (0.225) Data 0.043 (0.077) Loss 2.5884 (2.6348) Prec@1 43.750 (41.486) Prec@5 68.750 (67.249)
Epoch: [25][3610/5005] Time 0.206 (0.225) Data 0.046 (0.077) Loss 2.5127 (2.6346) Prec@1 42.188 (41.488) Prec@5 67.188 (67.249)
Epoch: [25][3620/5005] Time 0.199 (0.225) Data 0.051 (0.077) Loss 2.8039 (2.6343) Prec@1 36.328 (41.492) Prec@5 64.453 (67.255)
Epoch: [25][3630/5005] Time 0.222 (0.225) Data 0.138 (0.077) Loss 2.7192 (2.6341) Prec@1 39.062 (41.496) Prec@5 66.016 (67.257)
Epoch: [25][3640/5005] Time 0.213 (0.225) Data 0.056 (0.077) Loss 2.5320 (2.6338) Prec@1 40.625 (41.500) Prec@5 68.750 (67.262)
Epoch: [25][3650/5005] Time 0.201 (0.225) Data 0.047 (0.077) Loss 2.4031 (2.6336) Prec@1 40.625 (41.499) Prec@5 71.094 (67.266)
Epoch: [25][3660/5005] Time 0.202 (0.225) Data 0.054 (0.077) Loss 2.7005 (2.6333) Prec@1 41.797 (41.507) Prec@5 66.406 (67.270)
Epoch: [25][3670/5005] Time 0.201 (0.225) Data 0.045 (0.078) Loss 2.7012 (2.6332) Prec@1 41.406 (41.505) Prec@5 66.016 (67.269)
Epoch: [25][3680/5005] Time 0.193 (0.225) Data 0.048 (0.078) Loss 2.4857 (2.6332) Prec@1 41.016 (41.508) Prec@5 67.969 (67.268)
Epoch: [25][3690/5005] Time 0.200 (0.225) Data 0.044 (0.078) Loss 2.4583 (2.6330) Prec@1 45.703 (41.510) Prec@5 71.484 (67.270)
Epoch: [25][3700/5005] Time 0.492 (0.225) Data 0.398 (0.078) Loss 2.6020 (2.6328) Prec@1 41.797 (41.512) Prec@5 69.922 (67.276)
Epoch: [25][3710/5005] Time 0.209 (0.225) Data 0.042 (0.078) Loss 2.5270 (2.6327) Prec@1 41.406 (41.512) Prec@5 67.969 (67.278)
Epoch: [25][3720/5005] Time 0.206 (0.225) Data 0.043 (0.078) Loss 2.7513 (2.6324) Prec@1 42.578 (41.518) Prec@5 66.406 (67.284)
Epoch: [25][3730/5005] Time 0.358 (0.225) Data 0.266 (0.078) Loss 2.3805 (2.6321) Prec@1 46.094 (41.523) Prec@5 73.828 (67.287)
Epoch: [25][3740/5005] Time 0.189 (0.225) Data 0.094 (0.078) Loss 2.4818 (2.6317) Prec@1 45.312 (41.533) Prec@5 71.094 (67.296)
Epoch: [25][3750/5005] Time 0.194 (0.225) Data 0.048 (0.078) Loss 2.4434 (2.6316) Prec@1 48.438 (41.534) Prec@5 68.359 (67.298)
Epoch: [25][3760/5005] Time 0.201 (0.225) Data 0.046 (0.078) Loss 2.5745 (2.6316) Prec@1 38.672 (41.534) Prec@5 67.578 (67.298)
Epoch: [25][3770/5005] Time 0.209 (0.225) Data 0.054 (0.078) Loss 2.6077 (2.6313) Prec@1 42.578 (41.538) Prec@5 64.453 (67.304)
Epoch: [25][3780/5005] Time 0.231 (0.225) Data 0.147 (0.078) Loss 2.4293 (2.6311) Prec@1 46.484 (41.543) Prec@5 69.531 (67.308)
Epoch: [25][3790/5005] Time 0.203 (0.225) Data 0.059 (0.078) Loss 2.8115 (2.6310) Prec@1 38.281 (41.544) Prec@5 65.625 (67.311)
Epoch: [25][3800/5005] Time 0.204 (0.225) Data 0.043 (0.078) Loss 2.5201 (2.6310) Prec@1 42.188 (41.544) Prec@5 70.312 (67.312)
Epoch: [25][3810/5005] Time 0.208 (0.225) Data 0.041 (0.078) Loss 2.3499 (2.6308) Prec@1 46.484 (41.545) Prec@5 73.047 (67.314)
Epoch: [25][3820/5005] Time 0.202 (0.225) Data 0.049 (0.078) Loss 2.4382 (2.6305) Prec@1 44.141 (41.549) Prec@5 72.656 (67.324)
Epoch: [25][3830/5005] Time 0.210 (0.225) Data 0.045 (0.078) Loss 2.5803 (2.6302) Prec@1 38.672 (41.552) Prec@5 66.797 (67.328)
Epoch: [25][3840/5005] Time 0.220 (0.225) Data 0.041 (0.078) Loss 2.8882 (2.6301) Prec@1 37.891 (41.552) Prec@5 60.938 (67.328)
Epoch: [25][3850/5005] Time 0.207 (0.225) Data 0.041 (0.078) Loss 2.6825 (2.6299) Prec@1 41.016 (41.556) Prec@5 67.188 (67.330)
Epoch: [25][3860/5005] Time 0.194 (0.225) Data 0.089 (0.078) Loss 2.3646 (2.6298) Prec@1 50.000 (41.559) Prec@5 72.656 (67.333)
Epoch: [25][3870/5005] Time 0.210 (0.225) Data 0.046 (0.078) Loss 2.5603 (2.6297) Prec@1 37.891 (41.559) Prec@5 69.141 (67.334)
Epoch: [25][3880/5005] Time 0.209 (0.225) Data 0.049 (0.078) Loss 2.3986 (2.6295) Prec@1 49.609 (41.563) Prec@5 71.875 (67.339)
Epoch: [25][3890/5005] Time 0.202 (0.225) Data 0.044 (0.078) Loss 2.8799 (2.6293) Prec@1 39.062 (41.566) Prec@5 65.234 (67.341)
Epoch: [25][3900/5005] Time 0.200 (0.225) Data 0.050 (0.078) Loss 2.8672 (2.6292) Prec@1 36.328 (41.569) Prec@5 62.500 (67.341)
Epoch: [25][3910/5005] Time 0.209 (0.225) Data 0.047 (0.078) Loss 2.6078 (2.6291) Prec@1 40.625 (41.572) Prec@5 68.750 (67.343)
Epoch: [25][3920/5005] Time 0.209 (0.225) Data 0.041 (0.078) Loss 2.5458 (2.6290) Prec@1 45.312 (41.577) Prec@5 69.141 (67.345)
Epoch: [25][3930/5005] Time 0.200 (0.225) Data 0.047 (0.078) Loss 2.5382 (2.6287) Prec@1 41.016 (41.580) Prec@5 67.578 (67.350)
Epoch: [25][3940/5005] Time 0.205 (0.225) Data 0.051 (0.078) Loss 2.5621 (2.6285) Prec@1 41.406 (41.582) Prec@5 67.578 (67.350)
Epoch: [25][3950/5005] Time 0.208 (0.225) Data 0.059 (0.078) Loss 2.3929 (2.6282) Prec@1 50.391 (41.590) Prec@5 73.047 (67.359)
Epoch: [25][3960/5005] Time 0.203 (0.225) Data 0.085 (0.078) Loss 2.4233 (2.6280) Prec@1 46.875 (41.594) Prec@5 70.312 (67.362)
Epoch: [25][3970/5005] Time 0.198 (0.225) Data 0.043 (0.078) Loss 2.5659 (2.6278) Prec@1 42.969 (41.595) Prec@5 68.750 (67.362)
Epoch: [25][3980/5005] Time 0.209 (0.225) Data 0.042 (0.078) Loss 2.4713 (2.6276) Prec@1 42.188 (41.598) Prec@5 70.312 (67.367)
Epoch: [25][3990/5005] Time 0.200 (0.225) Data 0.051 (0.078) Loss 2.6253 (2.6274) Prec@1 41.016 (41.599) Prec@5 67.578 (67.371)
Epoch: [25][4000/5005] Time 0.194 (0.225) Data 0.048 (0.078) Loss 2.5156 (2.6271) Prec@1 39.453 (41.602) Prec@5 69.922 (67.375)
Epoch: [25][4010/5005] Time 0.192 (0.225) Data 0.056 (0.078) Loss 2.4990 (2.6268) Prec@1 43.359 (41.609) Prec@5 67.188 (67.382)
Epoch: [25][4020/5005] Time 0.212 (0.225) Data 0.045 (0.078) Loss 2.7086 (2.6265) Prec@1 44.141 (41.613) Prec@5 66.406 (67.387)
Epoch: [25][4030/5005] Time 0.340 (0.225) Data 0.250 (0.078) Loss 2.7954 (2.6266) Prec@1 39.062 (41.612) Prec@5 64.453 (67.384)
Epoch: [25][4040/5005] Time 0.199 (0.225) Data 0.053 (0.078) Loss 2.6188 (2.6266) Prec@1 43.750 (41.614) Prec@5 62.891 (67.383)
Epoch: [25][4050/5005] Time 0.201 (0.225) Data 0.053 (0.078) Loss 2.8705 (2.6264) Prec@1 37.500 (41.620) Prec@5 62.500 (67.384)
Epoch: [25][4060/5005] Time 0.201 (0.225) Data 0.045 (0.079) Loss 2.4897 (2.6262) Prec@1 41.016 (41.624) Prec@5 67.969 (67.388)
Epoch: [25][4070/5005] Time 0.203 (0.225) Data 0.041 (0.079) Loss 2.6079 (2.6260) Prec@1 42.969 (41.625) Prec@5 68.359 (67.393)
Epoch: [25][4080/5005] Time 0.202 (0.225) Data 0.048 (0.079) Loss 2.5317 (2.6257) Prec@1 44.531 (41.629) Prec@5 69.922 (67.395)
Epoch: [25][4090/5005] Time 0.205 (0.225) Data 0.088 (0.079) Loss 2.5432 (2.6256) Prec@1 42.188 (41.630) Prec@5 69.922 (67.399)
Epoch: [25][4100/5005] Time 0.210 (0.225) Data 0.051 (0.079) Loss 2.5169 (2.6253) Prec@1 41.406 (41.635) Prec@5 70.312 (67.402)
Epoch: [25][4110/5005] Time 0.208 (0.225) Data 0.043 (0.079) Loss 2.7235 (2.6251) Prec@1 41.797 (41.638) Prec@5 64.844 (67.406)
Epoch: [25][4120/5005] Time 0.208 (0.225) Data 0.042 (0.078) Loss 2.7131 (2.6248) Prec@1 36.719 (41.641) Prec@5 66.406 (67.412)
Epoch: [25][4130/5005] Time 0.202 (0.225) Data 0.054 (0.078) Loss 2.7136 (2.6246) Prec@1 37.109 (41.645) Prec@5 67.188 (67.419)
Epoch: [25][4140/5005] Time 0.207 (0.225) Data 0.052 (0.078) Loss 2.6955 (2.6245) Prec@1 40.625 (41.645) Prec@5 64.453 (67.421)
Epoch: [25][4150/5005] Time 0.204 (0.225) Data 0.051 (0.078) Loss 2.7557 (2.6244) Prec@1 39.062 (41.646) Prec@5 65.625 (67.425)
Epoch: [25][4160/5005] Time 0.194 (0.225) Data 0.050 (0.078) Loss 2.6115 (2.6244) Prec@1 38.672 (41.646) Prec@5 69.141 (67.426)
Epoch: [25][4170/5005] Time 0.207 (0.225) Data 0.046 (0.078) Loss 2.4643 (2.6241) Prec@1 41.797 (41.650) Prec@5 70.312 (67.433)
Epoch: [25][4180/5005] Time 0.200 (0.225) Data 0.062 (0.078) Loss 2.3265 (2.6237) Prec@1 48.438 (41.659) Prec@5 71.875 (67.437)
Epoch: [25][4190/5005] Time 0.206 (0.225) Data 0.046 (0.078) Loss 2.5583 (2.6236) Prec@1 40.234 (41.662) Prec@5 67.188 (67.438)
Epoch: [25][4200/5005] Time 0.205 (0.225) Data 0.060 (0.078) Loss 2.3777 (2.6234) Prec@1 46.484 (41.666) Prec@5 70.703 (67.442)
Epoch: [25][4210/5005] Time 0.204 (0.225) Data 0.041 (0.078) Loss 2.3933 (2.6232) Prec@1 44.531 (41.669) Prec@5 73.047 (67.447)
Epoch: [25][4220/5005] Time 0.869 (0.225) Data 0.787 (0.079) Loss 2.7987 (2.6231) Prec@1 34.766 (41.668) Prec@5 64.453 (67.449)
Epoch: [25][4230/5005] Time 0.207 (0.225) Data 0.050 (0.079) Loss 2.6112 (2.6230) Prec@1 40.234 (41.670) Prec@5 64.453 (67.450)
Epoch: [25][4240/5005] Time 0.194 (0.225) Data 0.049 (0.079) Loss 2.5372 (2.6229) Prec@1 39.453 (41.671) Prec@5 66.797 (67.452)
Epoch: [25][4250/5005] Time 0.198 (0.225) Data 0.045 (0.078) Loss 2.5033 (2.6226) Prec@1 44.531 (41.676) Prec@5 69.141 (67.457)
Epoch: [25][4260/5005] Time 0.209 (0.225) Data 0.040 (0.078) Loss 2.6223 (2.6224) Prec@1 38.281 (41.678) Prec@5 67.578 (67.458)
Epoch: [25][4270/5005] Time 0.200 (0.225) Data 0.090 (0.078) Loss 2.7077 (2.6224) Prec@1 41.406 (41.680) Prec@5 64.844 (67.457)
Epoch: [25][4280/5005] Time 0.196 (0.225) Data 0.097 (0.078) Loss 2.6329 (2.6222) Prec@1 41.406 (41.685) Prec@5 65.625 (67.459)
Epoch: [25][4290/5005] Time 0.206 (0.225) Data 0.047 (0.078) Loss 2.6505 (2.6220) Prec@1 39.844 (41.687) Prec@5 67.188 (67.459)
Epoch: [25][4300/5005] Time 0.199 (0.225) Data 0.042 (0.078) Loss 2.3797 (2.6217) Prec@1 49.219 (41.695) Prec@5 71.094 (67.464)
Epoch: [25][4310/5005] Time 0.200 (0.225) Data 0.047 (0.078) Loss 2.4081 (2.6214) Prec@1 46.484 (41.701) Prec@5 74.219 (67.469)
Epoch: [25][4320/5005] Time 0.193 (0.225) Data 0.054 (0.078) Loss 2.4190 (2.6212) Prec@1 48.047 (41.707) Prec@5 71.094 (67.471)
Epoch: [25][4330/5005] Time 0.197 (0.225) Data 0.055 (0.078) Loss 2.5346 (2.6210) Prec@1 41.016 (41.710) Prec@5 68.750 (67.474)
Epoch: [25][4340/5005] Time 0.216 (0.225) Data 0.048 (0.078) Loss 2.4192 (2.6208) Prec@1 46.094 (41.711) Prec@5 68.359 (67.476)
Epoch: [25][4350/5005] Time 0.201 (0.225) Data 0.048 (0.078) Loss 2.5246 (2.6206) Prec@1 43.359 (41.718) Prec@5 70.312 (67.482)
Epoch: [25][4360/5005] Time 0.204 (0.225) Data 0.049 (0.078) Loss 2.4127 (2.6202) Prec@1 43.750 (41.722) Prec@5 68.750 (67.488)
Epoch: [25][4370/5005] Time 0.202 (0.225) Data 0.038 (0.078) Loss 2.4754 (2.6201) Prec@1 42.188 (41.724) Prec@5 66.797 (67.489)
Epoch: [25][4380/5005] Time 0.220 (0.225) Data 0.139 (0.079) Loss 2.7010 (2.6199) Prec@1 41.797 (41.725) Prec@5 65.234 (67.493)
Epoch: [25][4390/5005] Time 0.220 (0.225) Data 0.045 (0.079) Loss 2.8114 (2.6196) Prec@1 37.109 (41.731) Prec@5 62.500 (67.498)
Epoch: [25][4400/5005] Time 0.202 (0.225) Data 0.039 (0.079) Loss 2.5938 (2.6195) Prec@1 40.234 (41.734) Prec@5 64.062 (67.498)
Epoch: [25][4410/5005] Time 0.217 (0.225) Data 0.041 (0.079) Loss 2.5585 (2.6193) Prec@1 41.016 (41.735) Prec@5 68.750 (67.503)
Epoch: [25][4420/5005] Time 0.199 (0.225) Data 0.103 (0.078) Loss 2.2808 (2.6190) Prec@1 47.266 (41.740) Prec@5 70.703 (67.507)
Epoch: [25][4430/5005] Time 0.217 (0.225) Data 0.042 (0.078) Loss 2.5411 (2.6186) Prec@1 42.969 (41.745) Prec@5 64.062 (67.512)
Epoch: [25][4440/5005] Time 0.199 (0.225) Data 0.050 (0.078) Loss 2.6332 (2.6185) Prec@1 40.625 (41.748) Prec@5 69.141 (67.514)
Epoch: [25][4450/5005] Time 0.211 (0.225) Data 0.046 (0.078) Loss 2.4233 (2.6182) Prec@1 46.875 (41.752) Prec@5 72.266 (67.519)
Epoch: [25][4460/5005] Time 0.203 (0.225) Data 0.040 (0.078) Loss 2.6461 (2.6179) Prec@1 38.672 (41.757) Prec@5 68.750 (67.525)
Epoch: [25][4470/5005] Time 0.475 (0.225) Data 0.390 (0.078) Loss 2.4992 (2.6178) Prec@1 38.672 (41.759) Prec@5 73.438 (67.527)
Epoch: [25][4480/5005] Time 0.197 (0.225) Data 0.109 (0.078) Loss 2.4469 (2.6178) Prec@1 45.312 (41.760) Prec@5 67.969 (67.528)
Epoch: [25][4490/5005] Time 0.196 (0.225) Data 0.107 (0.078) Loss 2.5449 (2.6177) Prec@1 43.359 (41.760) Prec@5 66.797 (67.529)
Epoch: [25][4500/5005] Time 0.198 (0.225) Data 0.049 (0.078) Loss 2.3988 (2.6174) Prec@1 41.406 (41.766) Prec@5 72.656 (67.536)
Epoch: [25][4510/5005] Time 0.196 (0.225) Data 0.048 (0.078) Loss 2.3252 (2.6172) Prec@1 45.312 (41.767) Prec@5 70.703 (67.537)
Epoch: [25][4520/5005] Time 0.194 (0.225) Data 0.043 (0.078) Loss 2.5521 (2.6169) Prec@1 41.016 (41.774) Prec@5 69.922 (67.543)
Epoch: [25][4530/5005] Time 0.192 (0.225) Data 0.094 (0.079) Loss 2.4426 (2.6166) Prec@1 44.141 (41.777) Prec@5 71.484 (67.549)
Epoch: [25][4540/5005] Time 0.546 (0.225) Data 0.467 (0.079) Loss 2.5615 (2.6166) Prec@1 40.625 (41.775) Prec@5 69.141 (67.550)
Epoch: [25][4550/5005] Time 0.208 (0.225) Data 0.048 (0.079) Loss 2.4981 (2.6162) Prec@1 45.312 (41.781) Prec@5 67.969 (67.554)
Epoch: [25][4560/5005] Time 0.210 (0.225) Data 0.046 (0.079) Loss 2.5831 (2.6160) Prec@1 44.141 (41.784) Prec@5 68.750 (67.560)
Epoch: [25][4570/5005] Time 0.201 (0.225) Data 0.059 (0.079) Loss 2.6478 (2.6157) Prec@1 41.797 (41.789) Prec@5 69.141 (67.567)
Epoch: [25][4580/5005] Time 0.187 (0.225) Data 0.095 (0.079) Loss 2.5876 (2.6154) Prec@1 39.844 (41.797) Prec@5 63.281 (67.571)
Epoch: [25][4590/5005] Time 0.213 (0.225) Data 0.043 (0.079) Loss 2.3731 (2.6153) Prec@1 43.750 (41.799) Prec@5 71.484 (67.573)
Epoch: [25][4600/5005] Time 0.200 (0.225) Data 0.039 (0.079) Loss 2.2546 (2.6151) Prec@1 45.703 (41.803) Prec@5 75.000 (67.574)
Epoch: [25][4610/5005] Time 0.209 (0.225) Data 0.042 (0.078) Loss 2.2958 (2.6149) Prec@1 48.438 (41.808) Prec@5 72.656 (67.577)
Epoch: [25][4620/5005] Time 0.390 (0.225) Data 0.299 (0.079) Loss 2.3286 (2.6146) Prec@1 48.828 (41.813) Prec@5 71.875 (67.580)
Epoch: [25][4630/5005] Time 0.202 (0.225) Data 0.060 (0.079) Loss 2.3430 (2.6144) Prec@1 51.172 (41.817) Prec@5 75.391 (67.585)
Epoch: [25][4640/5005] Time 0.197 (0.225) Data 0.100 (0.079) Loss 2.6443 (2.6142) Prec@1 41.406 (41.821) Prec@5 68.750 (67.587)
Epoch: [25][4650/5005] Time 0.209 (0.225) Data 0.051 (0.079) Loss 2.5311 (2.6140) Prec@1 44.141 (41.827) Prec@5 69.531 (67.592)
Epoch: [25][4660/5005] Time 0.185 (0.225) Data 0.096 (0.079) Loss 2.7948 (2.6137) Prec@1 38.672 (41.833) Prec@5 66.016 (67.598)
Epoch: [25][4670/5005] Time 0.196 (0.225) Data 0.057 (0.079) Loss 2.4118 (2.6134) Prec@1 45.312 (41.838) Prec@5 70.703 (67.601)
Epoch: [25][4680/5005] Time 0.196 (0.225) Data 0.059 (0.079) Loss 2.4262 (2.6132) Prec@1 44.141 (41.841) Prec@5 71.094 (67.605)
Epoch: [25][4690/5005] Time 0.200 (0.225) Data 0.045 (0.079) Loss 2.6412 (2.6131) Prec@1 38.672 (41.842) Prec@5 63.672 (67.606)
Epoch: [25][4700/5005] Time 0.206 (0.225) Data 0.049 (0.079) Loss 2.4743 (2.6129) Prec@1 42.188 (41.847) Prec@5 72.266 (67.611)
Epoch: [25][4710/5005] Time 0.203 (0.225) Data 0.045 (0.079) Loss 2.4181 (2.6125) Prec@1 42.578 (41.852) Prec@5 70.703 (67.615)
Epoch: [25][4720/5005] Time 0.204 (0.225) Data 0.040 (0.079) Loss 2.4894 (2.6123) Prec@1 44.531 (41.856) Prec@5 72.266 (67.620)
Epoch: [25][4730/5005] Time 0.208 (0.225) Data 0.047 (0.079) Loss 2.7012 (2.6122) Prec@1 43.750 (41.858) Prec@5 67.578 (67.621)
Epoch: [25][4740/5005] Time 0.188 (0.225) Data 0.063 (0.079) Loss 2.5098 (2.6119) Prec@1 41.016 (41.863) Prec@5 67.969 (67.625)
Epoch: [25][4750/5005] Time 0.197 (0.225) Data 0.048 (0.079) Loss 2.4292 (2.6117) Prec@1 42.188 (41.869) Prec@5 71.094 (67.632)
Epoch: [25][4760/5005] Time 0.213 (0.225) Data 0.045 (0.079) Loss 2.7846 (2.6113) Prec@1 39.453 (41.875) Prec@5 64.453 (67.636)
Epoch: [25][4770/5005] Time 0.197 (0.225) Data 0.042 (0.079) Loss 2.3310 (2.6110) Prec@1 48.438 (41.878) Prec@5 74.219 (67.641)
Epoch: [25][4780/5005] Time 0.200 (0.225) Data 0.058 (0.079) Loss 2.5652 (2.6109) Prec@1 40.234 (41.882) Prec@5 67.578 (67.643)
Epoch: [25][4790/5005] Time 0.209 (0.225) Data 0.044 (0.079) Loss 2.6713 (2.6106) Prec@1 46.094 (41.889) Prec@5 64.453 (67.647)
Epoch: [25][4800/5005] Time 0.198 (0.225) Data 0.055 (0.079) Loss 2.5907 (2.6103) Prec@1 44.531 (41.895) Prec@5 66.797 (67.652)
Epoch: [25][4810/5005] Time 0.203 (0.225) Data 0.043 (0.079) Loss 2.7195 (2.6100) Prec@1 41.797 (41.898) Prec@5 67.578 (67.656)
Epoch: [25][4820/5005] Time 0.200 (0.225) Data 0.047 (0.079) Loss 2.7894 (2.6098) Prec@1 35.547 (41.902) Prec@5 66.797 (67.660)
Epoch: [25][4830/5005] Time 0.200 (0.225) Data 0.047 (0.079) Loss 2.5198 (2.6095) Prec@1 43.359 (41.910) Prec@5 69.141 (67.666)
Epoch: [25][4840/5005] Time 0.206 (0.225) Data 0.040 (0.079) Loss 2.2547 (2.6093) Prec@1 48.047 (41.914) Prec@5 71.094 (67.668)
Epoch: [25][4850/5005] Time 0.207 (0.225) Data 0.045 (0.079) Loss 2.5234 (2.6092) Prec@1 43.359 (41.915) Prec@5 67.578 (67.669)
Epoch: [25][4860/5005] Time 0.208 (0.225) Data 0.049 (0.079) Loss 2.4663 (2.6090) Prec@1 46.875 (41.919) Prec@5 69.922 (67.672)
Epoch: [25][4870/5005] Time 0.198 (0.225) Data 0.061 (0.079) Loss 2.3434 (2.6087) Prec@1 47.266 (41.925) Prec@5 72.266 (67.674)
Epoch: [25][4880/5005] Time 0.201 (0.225) Data 0.045 (0.079) Loss 2.4358 (2.6085) Prec@1 42.969 (41.929) Prec@5 71.875 (67.677)
Epoch: [25][4890/5005] Time 0.205 (0.225) Data 0.039 (0.079) Loss 2.5638 (2.6082) Prec@1 38.281 (41.931) Prec@5 69.922 (67.681)
Epoch: [25][4900/5005] Time 0.196 (0.225) Data 0.052 (0.079) Loss 2.4468 (2.6080) Prec@1 46.484 (41.935) Prec@5 69.531 (67.685)
Epoch: [25][4910/5005] Time 0.200 (0.225) Data 0.046 (0.079) Loss 2.6079 (2.6075) Prec@1 39.844 (41.941) Prec@5 66.406 (67.693)
Epoch: [25][4920/5005] Time 0.202 (0.225) Data 0.041 (0.079) Loss 2.5877 (2.6073) Prec@1 44.141 (41.945) Prec@5 65.625 (67.698)
Epoch: [25][4930/5005] Time 0.211 (0.225) Data 0.043 (0.079) Loss 2.6092 (2.6070) Prec@1 42.969 (41.950) Prec@5 68.359 (67.704)
Epoch: [25][4940/5005] Time 0.352 (0.225) Data 0.260 (0.079) Loss 2.5526 (2.6068) Prec@1 43.359 (41.952) Prec@5 69.141 (67.706)
Epoch: [25][4950/5005] Time 0.201 (0.225) Data 0.044 (0.079) Loss 2.1889 (2.6067) Prec@1 47.266 (41.955) Prec@5 75.391 (67.709)
Epoch: [25][4960/5005] Time 0.206 (0.225) Data 0.049 (0.079) Loss 2.6356 (2.6063) Prec@1 44.141 (41.962) Prec@5 68.359 (67.716)
Epoch: [25][4970/5005] Time 0.200 (0.225) Data 0.055 (0.079) Loss 2.6068 (2.6060) Prec@1 37.891 (41.967) Prec@5 67.969 (67.721)
Epoch: [25][4980/5005] Time 0.372 (0.225) Data 0.289 (0.079) Loss 2.5722 (2.6056) Prec@1 44.531 (41.976) Prec@5 69.141 (67.729)
Epoch: [25][4990/5005] Time 0.212 (0.225) Data 0.032 (0.079) Loss 2.5530 (2.6053) Prec@1 43.750 (41.982) Prec@5 65.234 (67.733)
Epoch: [25][5000/5005] Time 0.202 (0.225) Data 0.022 (0.079) Loss 2.4804 (2.6051) Prec@1 43.359 (41.986) Prec@5 72.266 (67.736)
Test: [0/196] Time 2.413 (2.413) Loss 2.5647 (2.5647) Prec@1 45.312 (45.312) Prec@5 67.578 (67.578)
Test: [10/196] Time 0.042 (0.403) Loss 2.6639 (2.7432) Prec@1 44.531 (40.625) Prec@5 65.625 (66.619)
Test: [20/196] Time 0.048 (0.300) Loss 2.6599 (2.7559) Prec@1 43.359 (40.588) Prec@5 67.969 (65.997)
Test: [30/196] Time 0.043 (0.261) Loss 2.5824 (2.7579) Prec@1 39.453 (40.373) Prec@5 68.750 (65.953)
Test: [40/196] Time 1.019 (0.271) Loss 2.4916 (2.7584) Prec@1 48.047 (40.587) Prec@5 72.656 (65.911)
Test: [50/196] Time 0.047 (0.266) Loss 2.8636 (2.7654) Prec@1 41.016 (40.510) Prec@5 68.359 (65.954)
Test: [60/196] Time 0.042 (0.252) Loss 2.6565 (2.7535) Prec@1 43.359 (40.727) Prec@5 66.016 (66.124)
Test: [70/196] Time 0.426 (0.248) Loss 2.7257 (2.7495) Prec@1 41.797 (40.636) Prec@5 64.062 (66.186)
Test: [80/196] Time 0.043 (0.241) Loss 2.5791 (2.7537) Prec@1 47.656 (40.596) Prec@5 71.875 (66.199)
Test: [90/196] Time 0.235 (0.242) Loss 2.8406 (2.7560) Prec@1 39.844 (40.629) Prec@5 64.844 (66.140)
Test: [100/196] Time 0.045 (0.238) Loss 2.7371 (2.7529) Prec@1 43.750 (40.787) Prec@5 66.797 (66.244)
Test: [110/196] Time 0.091 (0.236) Loss 2.9123 (2.7540) Prec@1 40.234 (40.861) Prec@5 62.500 (66.304)
Test: [120/196] Time 0.108 (0.236) Loss 2.5656 (2.7524) Prec@1 38.672 (40.861) Prec@5 71.875 (66.284)
Test: [130/196] Time 0.422 (0.237) Loss 2.4341 (2.7490) Prec@1 42.578 (40.831) Prec@5 69.922 (66.272)
Test: [140/196] Time 0.042 (0.234) Loss 2.5940 (2.7502) Prec@1 43.359 (40.808) Prec@5 66.797 (66.232)
Test: [150/196] Time 0.042 (0.233) Loss 2.4127 (2.7478) Prec@1 43.750 (40.822) Prec@5 75.000 (66.323)
Test: [160/196] Time 0.392 (0.232) Loss 2.6613 (2.7455) Prec@1 45.703 (40.897) Prec@5 66.797 (66.363)
Test: [170/196] Time 0.600 (0.236) Loss 2.5602 (2.7457) Prec@1 43.750 (40.917) Prec@5 69.922 (66.347)
Test: [180/196] Time 0.090 (0.232) Loss 2.9607 (2.7515) Prec@1 38.672 (40.795) Prec@5 62.500 (66.214)
Test: [190/196] Time 0.154 (0.231) Loss 2.9390 (2.7536) Prec@1 40.234 (40.785) Prec@5 61.328 (66.147)
* Prec@1 40.812 Prec@5 66.176
Learning rate: 0.0001
Epoch: [26][0/5005] Time 2.033 (2.033) Data 1.933 (1.933) Loss 2.5744 (2.5744) Prec@1 41.797 (41.797) Prec@5 67.969 (67.969)
Epoch: [26][10/5005] Time 0.200 (0.369) Data 0.042 (0.217) Loss 2.6159 (2.6331) Prec@1 41.797 (41.158) Prec@5 66.406 (67.365)
Epoch: [26][20/5005] Time 0.202 (0.289) Data 0.058 (0.135) Loss 2.8057 (2.6379) Prec@1 38.281 (41.332) Prec@5 66.016 (67.467)
Epoch: [26][30/5005] Time 0.203 (0.260) Data 0.046 (0.107) Loss 2.4588 (2.5973) Prec@1 44.141 (41.923) Prec@5 69.531 (67.843)
Epoch: [26][40/5005] Time 0.192 (0.245) Data 0.050 (0.093) Loss 2.4680 (2.6018) Prec@1 43.359 (41.845) Prec@5 71.484 (67.921)
Epoch: [26][50/5005] Time 0.194 (0.237) Data 0.063 (0.085) Loss 2.4239 (2.6047) Prec@1 41.406 (41.598) Prec@5 72.656 (68.061)
Epoch: [26][60/5005] Time 0.202 (0.231) Data 0.050 (0.079) Loss 2.7120 (2.6102) Prec@1 39.062 (41.528) Prec@5 67.578 (68.058)
Epoch: [26][70/5005] Time 0.202 (0.227) Data 0.051 (0.075) Loss 2.5131 (2.6185) Prec@1 44.531 (41.285) Prec@5 69.531 (67.831)
Epoch: [26][80/5005] Time 0.193 (0.224) Data 0.045 (0.072) Loss 2.5217 (2.6142) Prec@1 42.578 (41.358) Prec@5 69.531 (67.771)
Epoch: [26][90/5005] Time 0.206 (0.222) Data 0.043 (0.070) Loss 2.7046 (2.6104) Prec@1 43.750 (41.518) Prec@5 66.406 (67.806)
Epoch: [26][100/5005] Time 0.199 (0.220) Data 0.045 (0.067) Loss 2.5187 (2.6108) Prec@1 41.797 (41.538) Prec@5 66.797 (67.686)
Epoch: [26][110/5005] Time 0.196 (0.218) Data 0.048 (0.066) Loss 2.5564 (2.6125) Prec@1 43.359 (41.730) Prec@5 67.578 (67.715)
Epoch: [26][120/5005] Time 0.206 (0.216) Data 0.045 (0.065) Loss 2.7873 (2.6176) Prec@1 38.672 (41.768) Prec@5 64.844 (67.652)
Epoch: [26][130/5005] Time 0.196 (0.215) Data 0.042 (0.063) Loss 2.6985 (2.6190) Prec@1 41.016 (41.836) Prec@5 62.891 (67.569)
Epoch: [26][140/5005] Time 0.205 (0.215) Data 0.046 (0.065) Loss 2.6549 (2.6173) Prec@1 39.062 (41.825) Prec@5 64.453 (67.575)
Epoch: [26][150/5005] Time 0.202 (0.217) Data 0.043 (0.068) Loss 2.6746 (2.6175) Prec@1 40.625 (41.802) Prec@5 68.750 (67.630)
Epoch: [26][160/5005] Time 0.610 (0.221) Data 0.523 (0.074) Loss 2.5100 (2.6169) Prec@1 42.188 (41.792) Prec@5 68.359 (67.644)
Epoch: [26][170/5005] Time 0.199 (0.222) Data 0.056 (0.076) Loss 2.6817 (2.6162) Prec@1 42.969 (41.852) Prec@5 67.969 (67.635)
Epoch: [26][180/5005] Time 0.202 (0.222) Data 0.047 (0.077) Loss 2.8624 (2.6185) Prec@1 43.359 (41.801) Prec@5 60.938 (67.602)
Epoch: [26][190/5005] Time 0.210 (0.223) Data 0.048 (0.078) Loss 2.6559 (2.6238) Prec@1 39.453 (41.643) Prec@5 66.016 (67.488)
Epoch: [26][200/5005] Time 0.236 (0.224) Data 0.145 (0.078) Loss 3.0402 (2.6246) Prec@1 33.984 (41.612) Prec@5 62.500 (67.487)
Epoch: [26][210/5005] Time 0.248 (0.224) Data 0.161 (0.080) Loss 2.6098 (2.6245) Prec@1 45.312 (41.617) Prec@5 67.969 (67.489)
Epoch: [26][220/5005] Time 0.214 (0.225) Data 0.047 (0.081) Loss 2.6502 (2.6261) Prec@1 43.359 (41.601) Prec@5 65.625 (67.467)
Epoch: [26][230/5005] Time 0.216 (0.226) Data 0.068 (0.082) Loss 2.5628 (2.6243) Prec@1 42.969 (41.667) Prec@5 69.922 (67.509)
Epoch: [26][240/5005] Time 0.212 (0.227) Data 0.056 (0.083) Loss 2.6520 (2.6230) Prec@1 45.312 (41.654) Prec@5 66.797 (67.500)
Epoch: [26][250/5005] Time 0.208 (0.226) Data 0.044 (0.081) Loss 2.6789 (2.6206) Prec@1 38.672 (41.680) Prec@5 68.359 (67.535)
Epoch: [26][260/5005] Time 0.252 (0.227) Data 0.172 (0.083) Loss 2.5058 (2.6219) Prec@1 41.797 (41.641) Prec@5 68.750 (67.518)
Epoch: [26][270/5005] Time 0.209 (0.227) Data 0.049 (0.083) Loss 2.5453 (2.6216) Prec@1 44.922 (41.621) Prec@5 69.922 (67.526)
Epoch: [26][280/5005] Time 0.211 (0.228) Data 0.044 (0.084) Loss 3.0120 (2.6241) Prec@1 37.500 (41.605) Prec@5 60.547 (67.486)
Epoch: [26][290/5005] Time 0.470 (0.229) Data 0.383 (0.086) Loss 2.5159 (2.6254) Prec@1 42.188 (41.593) Prec@5 69.141 (67.426)
Epoch: [26][300/5005] Time 0.196 (0.230) Data 0.050 (0.087) Loss 2.4313 (2.6246) Prec@1 44.531 (41.593) Prec@5 71.875 (67.446)
Epoch: [26][310/5005] Time 0.215 (0.230) Data 0.129 (0.087) Loss 2.4809 (2.6216) Prec@1 41.016 (41.634) Prec@5 71.484 (67.483)
Epoch: [26][320/5005] Time 0.216 (0.230) Data 0.048 (0.087) Loss 2.8525 (2.6226) Prec@1 35.547 (41.631) Prec@5 66.016 (67.505)
Epoch: [26][330/5005] Time 0.209 (0.230) Data 0.047 (0.088) Loss 2.3477 (2.6205) Prec@1 46.094 (41.668) Prec@5 71.875 (67.552)
Epoch: [26][340/5005] Time 0.683 (0.231) Data 0.593 (0.089) Loss 2.7414 (2.6241) Prec@1 40.625 (41.616) Prec@5 64.453 (67.497)
Epoch: [26][350/5005] Time 0.241 (0.231) Data 0.150 (0.089) Loss 2.6631 (2.6243) Prec@1 40.625 (41.611) Prec@5 66.406 (67.500)
Epoch: [26][360/5005] Time 0.201 (0.230) Data 0.040 (0.087) Loss 2.7054 (2.6243) Prec@1 39.062 (41.618) Prec@5 63.281 (67.466)
Epoch: [26][370/5005] Time 0.209 (0.230) Data 0.044 (0.086) Loss 2.6593 (2.6227) Prec@1 37.891 (41.649) Prec@5 66.016 (67.484)
Epoch: [26][380/5005] Time 0.203 (0.229) Data 0.047 (0.085) Loss 2.8842 (2.6239) Prec@1 39.062 (41.636) Prec@5 65.234 (67.466)
Epoch: [26][390/5005] Time 0.219 (0.229) Data 0.045 (0.084) Loss 2.5683 (2.6236) Prec@1 46.484 (41.646) Prec@5 71.484 (67.483)
Epoch: [26][400/5005] Time 0.211 (0.229) Data 0.040 (0.083) Loss 2.5175 (2.6222) Prec@1 40.625 (41.667) Prec@5 67.969 (67.495)
Epoch: [26][410/5005] Time 0.210 (0.228) Data 0.043 (0.082) Loss 2.3644 (2.6209) Prec@1 42.969 (41.707) Prec@5 73.047 (67.531)
Epoch: [26][420/5005] Time 0.212 (0.228) Data 0.043 (0.081) Loss 2.5859 (2.6200) Prec@1 38.281 (41.739) Prec@5 69.531 (67.534)
Epoch: [26][430/5005] Time 0.216 (0.228) Data 0.041 (0.080) Loss 2.4659 (2.6197) Prec@1 44.922 (41.754) Prec@5 72.656 (67.530)
Epoch: [26][440/5005] Time 0.218 (0.228) Data 0.043 (0.080) Loss 2.5155 (2.6182) Prec@1 46.094 (41.781) Prec@5 69.922 (67.546)
Epoch: [26][450/5005] Time 0.219 (0.227) Data 0.043 (0.079) Loss 2.4863 (2.6192) Prec@1 41.797 (41.759) Prec@5 67.578 (67.511)
Epoch: [26][460/5005] Time 0.215 (0.227) Data 0.041 (0.078) Loss 2.7229 (2.6195) Prec@1 42.578 (41.754) Prec@5 65.625 (67.515)
Epoch: [26][470/5005] Time 0.214 (0.227) Data 0.042 (0.077) Loss 2.6219 (2.6213) Prec@1 39.062 (41.721) Prec@5 66.016 (67.471)
Epoch: [26][480/5005] Time 0.214 (0.226) Data 0.045 (0.077) Loss 2.6880 (2.6209) Prec@1 43.359 (41.738) Prec@5 66.797 (67.485)
Epoch: [26][490/5005] Time 0.218 (0.226) Data 0.044 (0.076) Loss 2.6466 (2.6216) Prec@1 42.969 (41.717) Prec@5 65.234 (67.465)
Epoch: [26][500/5005] Time 0.224 (0.226) Data 0.046 (0.075) Loss 2.7169 (2.6234) Prec@1 42.969 (41.696) Prec@5 65.625 (67.439)
Epoch: [26][510/5005] Time 0.212 (0.226) Data 0.044 (0.075) Loss 2.9109 (2.6241) Prec@1 36.719 (41.699) Prec@5 62.500 (67.419)
Epoch: [26][520/5005] Time 0.207 (0.226) Data 0.041 (0.075) Loss 2.7104 (2.6238) Prec@1 38.672 (41.705) Prec@5 65.234 (67.436)
Epoch: [26][530/5005] Time 0.216 (0.225) Data 0.046 (0.074) Loss 2.6595 (2.6237) Prec@1 41.406 (41.698) Prec@5 66.406 (67.426)
Epoch: [26][540/5005] Time 0.209 (0.225) Data 0.041 (0.073) Loss 2.7608 (2.6246) Prec@1 36.719 (41.683) Prec@5 62.891 (67.411)
Epoch: [26][550/5005] Time 0.212 (0.225) Data 0.045 (0.073) Loss 2.6608 (2.6238) Prec@1 38.672 (41.705) Prec@5 70.312 (67.418)
Epoch: [26][560/5005] Time 0.220 (0.225) Data 0.046 (0.072) Loss 2.7472 (2.6240) Prec@1 37.891 (41.688) Prec@5 67.578 (67.421)
Epoch: [26][570/5005] Time 0.213 (0.225) Data 0.048 (0.072) Loss 2.7570 (2.6251) Prec@1 40.625 (41.659) Prec@5 64.844 (67.403)
Epoch: [26][580/5005] Time 0.213 (0.224) Data 0.048 (0.072) Loss 2.7236 (2.6242) Prec@1 37.109 (41.676) Prec@5 67.578 (67.407)
Epoch: [26][590/5005] Time 0.222 (0.224) Data 0.040 (0.071) Loss 2.7487 (2.6242) Prec@1 36.719 (41.672) Prec@5 65.234 (67.394)
Epoch: [26][600/5005] Time 0.219 (0.224) Data 0.046 (0.071) Loss 2.6101 (2.6248) Prec@1 43.359 (41.655) Prec@5 70.703 (67.392)
Epoch: [26][610/5005] Time 0.220 (0.224) Data 0.043 (0.070) Loss 2.4811 (2.6246) Prec@1 42.969 (41.652) Prec@5 69.531 (67.382)
Epoch: [26][620/5005] Time 0.213 (0.224) Data 0.044 (0.070) Loss 2.5733 (2.6244) Prec@1 48.438 (41.671) Prec@5 70.703 (67.396)
Epoch: [26][630/5005] Time 0.209 (0.223) Data 0.048 (0.070) Loss 2.7784 (2.6240) Prec@1 36.328 (41.685) Prec@5 64.453 (67.419)
Epoch: [26][640/5005] Time 0.209 (0.223) Data 0.047 (0.069) Loss 2.4945 (2.6236) Prec@1 42.188 (41.691) Prec@5 67.578 (67.425)
Epoch: [26][650/5005] Time 0.213 (0.223) Data 0.046 (0.069) Loss 2.7605 (2.6246) Prec@1 39.062 (41.685) Prec@5 62.891 (67.405)
Epoch: [26][660/5005] Time 0.213 (0.223) Data 0.058 (0.069) Loss 2.6733 (2.6238) Prec@1 41.406 (41.708) Prec@5 68.359 (67.406)
Epoch: [26][670/5005] Time 0.212 (0.223) Data 0.044 (0.068) Loss 2.8046 (2.6238) Prec@1 41.797 (41.702) Prec@5 63.281 (67.408)
Epoch: [26][680/5005] Time 0.217 (0.223) Data 0.043 (0.068) Loss 2.6413 (2.6240) Prec@1 41.016 (41.698) Prec@5 68.359 (67.408)
Epoch: [26][690/5005] Time 0.216 (0.223) Data 0.044 (0.068) Loss 2.4923 (2.6228) Prec@1 42.188 (41.706) Prec@5 70.312 (67.428)
Epoch: [26][700/5005] Time 0.214 (0.223) Data 0.058 (0.067) Loss 2.7124 (2.6224) Prec@1 37.500 (41.707) Prec@5 67.969 (67.433)
Epoch: [26][710/5005] Time 0.212 (0.223) Data 0.043 (0.067) Loss 2.3229 (2.6219) Prec@1 45.703 (41.713) Prec@5 75.391 (67.447)
Epoch: [26][720/5005] Time 0.211 (0.222) Data 0.043 (0.067) Loss 2.5880 (2.6209) Prec@1 42.188 (41.732) Prec@5 68.359 (67.462)
Epoch: [26][730/5005] Time 0.215 (0.222) Data 0.042 (0.066) Loss 2.9024 (2.6214) Prec@1 37.109 (41.723) Prec@5 62.500 (67.457)
Epoch: [26][740/5005] Time 0.208 (0.222) Data 0.043 (0.066) Loss 2.7147 (2.6213) Prec@1 46.094 (41.730) Prec@5 63.672 (67.448)
Epoch: [26][750/5005] Time 0.218 (0.222) Data 0.043 (0.066) Loss 2.4161 (2.6209) Prec@1 48.047 (41.733) Prec@5 71.875 (67.452)
Epoch: [26][760/5005] Time 0.202 (0.222) Data 0.055 (0.065) Loss 2.6375 (2.6211) Prec@1 41.406 (41.727) Prec@5 69.531 (67.465)
Epoch: [26][770/5005] Time 0.210 (0.222) Data 0.052 (0.065) Loss 2.5937 (2.6195) Prec@1 42.188 (41.761) Prec@5 66.016 (67.489)
Epoch: [26][780/5005] Time 0.208 (0.222) Data 0.043 (0.065) Loss 2.5670 (2.6194) Prec@1 44.141 (41.767) Prec@5 67.188 (67.487)
Epoch: [26][790/5005] Time 0.209 (0.222) Data 0.040 (0.065) Loss 2.5631 (2.6191) Prec@1 38.672 (41.773) Prec@5 70.703 (67.515)
Epoch: [26][800/5005] Time 0.213 (0.221) Data 0.044 (0.065) Loss 2.4922 (2.6181) Prec@1 42.969 (41.780) Prec@5 72.656 (67.531)
Epoch: [26][810/5005] Time 0.214 (0.222) Data 0.045 (0.065) Loss 2.6219 (2.6180) Prec@1 38.281 (41.770) Prec@5 69.141 (67.535)
Epoch: [26][820/5005] Time 0.201 (0.222) Data 0.051 (0.065) Loss 2.7845 (2.6185) Prec@1 39.062 (41.769) Prec@5 63.281 (67.522)
Epoch: [26][830/5005] Time 0.203 (0.222) Data 0.045 (0.065) Loss 2.5501 (2.6186) Prec@1 40.234 (41.763) Prec@5 67.578 (67.522)
Epoch: [26][840/5005] Time 0.201 (0.222) Data 0.045 (0.066) Loss 2.5691 (2.6187) Prec@1 42.188 (41.767) Prec@5 67.188 (67.529)
Epoch: [26][850/5005] Time 0.201 (0.222) Data 0.057 (0.066) Loss 2.7626 (2.6182) Prec@1 37.891 (41.767) Prec@5 64.062 (67.545)
Epoch: [26][860/5005] Time 0.202 (0.222) Data 0.047 (0.066) Loss 2.6962 (2.6183) Prec@1 38.672 (41.761) Prec@5 66.016 (67.551)
Epoch: [26][870/5005] Time 0.207 (0.222) Data 0.049 (0.067) Loss 2.6994 (2.6171) Prec@1 36.328 (41.782) Prec@5 64.844 (67.565)
Epoch: [26][880/5005] Time 0.204 (0.222) Data 0.047 (0.067) Loss 2.5273 (2.6174) Prec@1 41.797 (41.775) Prec@5 67.578 (67.556)
Epoch: [26][890/5005] Time 0.204 (0.222) Data 0.049 (0.067) Loss 2.8861 (2.6174) Prec@1 39.453 (41.787) Prec@5 62.500 (67.556)
Epoch: [26][900/5005] Time 0.202 (0.222) Data 0.053 (0.067) Loss 2.5683 (2.6169) Prec@1 41.016 (41.786) Prec@5 69.531 (67.576)
Epoch: [26][910/5005] Time 0.385 (0.222) Data 0.307 (0.068) Loss 2.5409 (2.6163) Prec@1 41.797 (41.796) Prec@5 69.141 (67.573)
Epoch: [26][920/5005] Time 0.199 (0.222) Data 0.052 (0.068) Loss 2.6125 (2.6155) Prec@1 39.062 (41.806) Prec@5 66.406 (67.595)
Epoch: [26][930/5005] Time 0.587 (0.223) Data 0.501 (0.069) Loss 2.4783 (2.6150) Prec@1 44.141 (41.823) Prec@5 68.359 (67.598)
Epoch: [26][940/5005] Time 0.200 (0.224) Data 0.041 (0.070) Loss 2.4789 (2.6149) Prec@1 42.578 (41.818) Prec@5 71.484 (67.604)
Epoch: [26][950/5005] Time 0.203 (0.224) Data 0.043 (0.070) Loss 2.7078 (2.6153) Prec@1 39.453 (41.824) Prec@5 67.969 (67.595)
Epoch: [26][960/5005] Time 0.207 (0.224) Data 0.128 (0.071) Loss 2.7932 (2.6155) Prec@1 37.109 (41.807) Prec@5 64.453 (67.587)
Epoch: [26][970/5005] Time 0.333 (0.225) Data 0.250 (0.071) Loss 2.3512 (2.6147) Prec@1 47.266 (41.828) Prec@5 72.656 (67.600)
Epoch: [26][980/5005] Time 0.207 (0.225) Data 0.067 (0.072) Loss 2.5996 (2.6141) Prec@1 43.359 (41.839) Prec@5 67.188 (67.604)
Epoch: [26][990/5005] Time 0.203 (0.225) Data 0.043 (0.072) Loss 2.7254 (2.6146) Prec@1 42.188 (41.833) Prec@5 66.016 (67.596)
Epoch: [26][1000/5005] Time 0.213 (0.225) Data 0.046 (0.071) Loss 2.5889 (2.6139) Prec@1 44.141 (41.851) Prec@5 67.578 (67.602)
Epoch: [26][1010/5005] Time 0.210 (0.224) Data 0.042 (0.071) Loss 2.6299 (2.6133) Prec@1 42.188 (41.863) Prec@5 66.797 (67.605)
Epoch: [26][1020/5005] Time 0.218 (0.224) Data 0.042 (0.071) Loss 2.4327 (2.6136) Prec@1 46.094 (41.853) Prec@5 70.703 (67.592)
Epoch: [26][1030/5005] Time 0.200 (0.224) Data 0.049 (0.071) Loss 2.6109 (2.6131) Prec@1 44.922 (41.858) Prec@5 67.578 (67.596)
Epoch: [26][1040/5005] Time 0.226 (0.224) Data 0.042 (0.070) Loss 2.7217 (2.6130) Prec@1 39.062 (41.858) Prec@5 66.797 (67.592)
Epoch: [26][1050/5005] Time 0.208 (0.224) Data 0.043 (0.070) Loss 2.6234 (2.6130) Prec@1 38.672 (41.847) Prec@5 68.750 (67.591)
Epoch: [26][1060/5005] Time 0.199 (0.224) Data 0.049 (0.070) Loss 2.6779 (2.6131) Prec@1 37.500 (41.848) Prec@5 65.234 (67.593)
Epoch: [26][1070/5005] Time 0.217 (0.224) Data 0.043 (0.070) Loss 2.5378 (2.6134) Prec@1 44.141 (41.853) Prec@5 69.141 (67.583)
Epoch: [26][1080/5005] Time 0.212 (0.224) Data 0.049 (0.070) Loss 2.6102 (2.6136) Prec@1 42.578 (41.855) Prec@5 71.094 (67.579)
Epoch: [26][1090/5005] Time 0.222 (0.224) Data 0.046 (0.069) Loss 2.4892 (2.6131) Prec@1 41.406 (41.856) Prec@5 69.922 (67.588)
Epoch: [26][1100/5005] Time 0.209 (0.223) Data 0.052 (0.069) Loss 2.5266 (2.6126) Prec@1 40.234 (41.861) Prec@5 67.578 (67.597)
Epoch: [26][1110/5005] Time 0.213 (0.223) Data 0.057 (0.069) Loss 2.6197 (2.6130) Prec@1 41.406 (41.856) Prec@5 65.234 (67.583)
Epoch: [26][1120/5005] Time 0.207 (0.223) Data 0.052 (0.069) Loss 2.5380 (2.6121) Prec@1 46.875 (41.868) Prec@5 69.922 (67.608)
Epoch: [26][1130/5005] Time 0.218 (0.223) Data 0.046 (0.069) Loss 2.6982 (2.6124) Prec@1 43.359 (41.875) Prec@5 67.188 (67.606)
Epoch: [26][1140/5005] Time 0.207 (0.223) Data 0.054 (0.068) Loss 2.5899 (2.6120) Prec@1 42.969 (41.873) Prec@5 69.922 (67.614)
Epoch: [26][1150/5005] Time 0.208 (0.223) Data 0.047 (0.068) Loss 2.5454 (2.6113) Prec@1 38.281 (41.879) Prec@5 67.188 (67.630)
Epoch: [26][1160/5005] Time 0.208 (0.223) Data 0.043 (0.068) Loss 2.6359 (2.6112) Prec@1 42.188 (41.880) Prec@5 67.188 (67.629)
Epoch: [26][1170/5005] Time 0.207 (0.223) Data 0.040 (0.068) Loss 2.7381 (2.6110) Prec@1 39.453 (41.879) Prec@5 67.188 (67.637)
Epoch: [26][1180/5005] Time 0.202 (0.222) Data 0.042 (0.068) Loss 2.7154 (2.6110) Prec@1 39.844 (41.872) Prec@5 64.453 (67.638)
Epoch: [26][1190/5005] Time 0.216 (0.222) Data 0.046 (0.068) Loss 2.3948 (2.6104) Prec@1 42.578 (41.880) Prec@5 69.922 (67.642)
Epoch: [26][1200/5005] Time 0.209 (0.222) Data 0.046 (0.067) Loss 2.8635 (2.6105) Prec@1 37.109 (41.878) Prec@5 61.328 (67.642)
Epoch: [26][1210/5005] Time 0.219 (0.222) Data 0.042 (0.067) Loss 2.6508 (2.6106) Prec@1 41.406 (41.879) Prec@5 66.797 (67.644)
Epoch: [26][1220/5005] Time 0.207 (0.222) Data 0.047 (0.067) Loss 2.4760 (2.6108) Prec@1 42.578 (41.873) Prec@5 69.141 (67.647)
Epoch: [26][1230/5005] Time 0.211 (0.222) Data 0.043 (0.067) Loss 2.6472 (2.6112) Prec@1 39.844 (41.854) Prec@5 68.359 (67.646)
Epoch: [26][1240/5005] Time 0.198 (0.222) Data 0.086 (0.067) Loss 2.6440 (2.6117) Prec@1 46.094 (41.855) Prec@5 64.453 (67.630)
Epoch: [26][1250/5005] Time 0.206 (0.222) Data 0.048 (0.067) Loss 2.8893 (2.6118) Prec@1 41.016 (41.848) Prec@5 62.500 (67.617)
Epoch: [26][1260/5005] Time 0.203 (0.222) Data 0.045 (0.068) Loss 2.3123 (2.6110) Prec@1 46.484 (41.855) Prec@5 71.875 (67.633)
Epoch: [26][1270/5005] Time 0.203 (0.222) Data 0.044 (0.068) Loss 2.8248 (2.6121) Prec@1 37.891 (41.844) Prec@5 61.328 (67.609)
Epoch: [26][1280/5005] Time 0.209 (0.222) Data 0.041 (0.068) Loss 2.5919 (2.6128) Prec@1 41.797 (41.837) Prec@5 67.578 (67.604)
Epoch: [26][1290/5005] Time 0.215 (0.223) Data 0.061 (0.068) Loss 2.3606 (2.6123) Prec@1 48.828 (41.853) Prec@5 72.656 (67.609)
Epoch: [26][1300/5005] Time 0.207 (0.223) Data 0.046 (0.068) Loss 2.4264 (2.6120) Prec@1 46.094 (41.864) Prec@5 69.922 (67.618)
Epoch: [26][1310/5005] Time 0.208 (0.222) Data 0.040 (0.068) Loss 2.6024 (2.6115) Prec@1 42.188 (41.868) Prec@5 69.531 (67.625)
Epoch: [26][1320/5005] Time 0.220 (0.222) Data 0.048 (0.068) Loss 2.7719 (2.6113) Prec@1 41.016 (41.873) Prec@5 65.625 (67.630)
Epoch: [26][1330/5005] Time 0.205 (0.222) Data 0.116 (0.068) Loss 2.7761 (2.6117) Prec@1 42.188 (41.866) Prec@5 64.844 (67.627)
Epoch: [26][1340/5005] Time 0.204 (0.222) Data 0.048 (0.068) Loss 2.6758 (2.6115) Prec@1 44.922 (41.872) Prec@5 69.922 (67.630)
Epoch: [26][1350/5005] Time 0.207 (0.222) Data 0.044 (0.068) Loss 2.9794 (2.6119) Prec@1 39.062 (41.864) Prec@5 61.719 (67.619)
Epoch: [26][1360/5005] Time 0.204 (0.222) Data 0.086 (0.068) Loss 2.5345 (2.6115) Prec@1 41.406 (41.862) Prec@5 68.359 (67.627)
Epoch: [26][1370/5005] Time 0.206 (0.222) Data 0.043 (0.068) Loss 2.7049 (2.6108) Prec@1 38.672 (41.870) Prec@5 67.578 (67.640)
Epoch: [26][1380/5005] Time 0.315 (0.222) Data 0.223 (0.068) Loss 2.5476 (2.6104) Prec@1 43.750 (41.881) Prec@5 69.141 (67.651)
Epoch: [26][1390/5005] Time 0.214 (0.222) Data 0.124 (0.068) Loss 2.5910 (2.6102) Prec@1 44.141 (41.889) Prec@5 68.750 (67.655)
Epoch: [26][1400/5005] Time 0.212 (0.222) Data 0.135 (0.068) Loss 2.4857 (2.6093) Prec@1 47.656 (41.894) Prec@5 69.531 (67.671)
Epoch: [26][1410/5005] Time 0.201 (0.222) Data 0.062 (0.069) Loss 2.6359 (2.6088) Prec@1 39.453 (41.908) Prec@5 67.969 (67.678)
Epoch: [26][1420/5005] Time 0.208 (0.222) Data 0.053 (0.069) Loss 2.9136 (2.6089) Prec@1 40.234 (41.906) Prec@5 66.406 (67.675)
Epoch: [26][1430/5005] Time 0.389 (0.222) Data 0.311 (0.069) Loss 2.2787 (2.6084) Prec@1 46.484 (41.914) Prec@5 71.875 (67.681)
Epoch: [26][1440/5005] Time 0.209 (0.223) Data 0.059 (0.069) Loss 2.4374 (2.6082) Prec@1 42.969 (41.916) Prec@5 71.094 (67.680)
Epoch: [26][1450/5005] Time 0.213 (0.222) Data 0.045 (0.069) Loss 2.5562 (2.6077) Prec@1 47.656 (41.931) Prec@5 67.578 (67.689)
Epoch: [26][1460/5005] Time 0.209 (0.222) Data 0.045 (0.069) Loss 2.5766 (2.6075) Prec@1 41.016 (41.935) Prec@5 68.750 (67.696)
Epoch: [26][1470/5005] Time 0.211 (0.222) Data 0.044 (0.069) Loss 2.7721 (2.6076) Prec@1 40.625 (41.933) Prec@5 65.625 (67.695)
Epoch: [26][1480/5005] Time 0.208 (0.222) Data 0.043 (0.069) Loss 2.4511 (2.6078) Prec@1 45.312 (41.938) Prec@5 70.312 (67.692)
Epoch: [26][1490/5005] Time 0.200 (0.222) Data 0.045 (0.069) Loss 2.8243 (2.6075) Prec@1 36.719 (41.946) Prec@5 64.062 (67.701)
Epoch: [26][1500/5005] Time 0.494 (0.223) Data 0.408 (0.069) Loss 2.5755 (2.6070) Prec@1 42.969 (41.958) Prec@5 67.578 (67.712)
Epoch: [26][1510/5005] Time 0.197 (0.223) Data 0.043 (0.069) Loss 2.3268 (2.6065) Prec@1 46.484 (41.970) Prec@5 69.922 (67.719)
Epoch: [26][1520/5005] Time 0.204 (0.223) Data 0.049 (0.069) Loss 2.7180 (2.6063) Prec@1 38.281 (41.975) Prec@5 65.234 (67.720)
Epoch: [26][1530/5005] Time 0.204 (0.223) Data 0.050 (0.069) Loss 2.6151 (2.6060) Prec@1 39.062 (41.976) Prec@5 68.750 (67.730)
Epoch: [26][1540/5005] Time 0.212 (0.223) Data 0.043 (0.069) Loss 2.7216 (2.6062) Prec@1 37.891 (41.981) Prec@5 65.234 (67.724)
Epoch: [26][1550/5005] Time 0.199 (0.222) Data 0.091 (0.069) Loss 2.5062 (2.6056) Prec@1 44.141 (41.986) Prec@5 69.531 (67.737)
Epoch: [26][1560/5005] Time 0.198 (0.223) Data 0.047 (0.070) Loss 2.5280 (2.6057) Prec@1 38.672 (41.983) Prec@5 68.750 (67.736)
Epoch: [26][1570/5005] Time 0.209 (0.223) Data 0.041 (0.070) Loss 2.3869 (2.6053) Prec@1 44.922 (41.992) Prec@5 69.531 (67.740)
Epoch: [26][1580/5005] Time 0.200 (0.223) Data 0.043 (0.070) Loss 2.3354 (2.6052) Prec@1 44.922 (41.995) Prec@5 75.781 (67.743)
Epoch: [26][1590/5005] Time 0.207 (0.223) Data 0.051 (0.070) Loss 2.3957 (2.6051) Prec@1 46.484 (41.998) Prec@5 67.578 (67.744)
Epoch: [26][1600/5005] Time 0.195 (0.223) Data 0.052 (0.071) Loss 2.5870 (2.6051) Prec@1 41.797 (41.992) Prec@5 66.016 (67.742)
Epoch: [26][1610/5005] Time 0.206 (0.223) Data 0.040 (0.070) Loss 2.7188 (2.6051) Prec@1 40.234 (41.992) Prec@5 66.016 (67.742)
Epoch: [26][1620/5005] Time 0.215 (0.223) Data 0.042 (0.070) Loss 2.7012 (2.6049) Prec@1 39.453 (41.987) Prec@5 66.797 (67.743)
Epoch: [26][1630/5005] Time 0.206 (0.223) Data 0.043 (0.070) Loss 2.4476 (2.6047) Prec@1 47.266 (41.989) Prec@5 73.047 (67.750)
Epoch: [26][1640/5005] Time 0.191 (0.223) Data 0.062 (0.070) Loss 2.6268 (2.6050) Prec@1 44.141 (41.985) Prec@5 67.188 (67.747)
Epoch: [26][1650/5005] Time 0.201 (0.223) Data 0.047 (0.070) Loss 2.6250 (2.6049) Prec@1 40.234 (41.990) Prec@5 67.188 (67.748)
Epoch: [26][1660/5005] Time 0.210 (0.223) Data 0.042 (0.070) Loss 2.5343 (2.6044) Prec@1 46.875 (42.003) Prec@5 69.531 (67.759)
Epoch: [26][1670/5005] Time 0.202 (0.223) Data 0.061 (0.071) Loss 2.2817 (2.6042) Prec@1 48.047 (42.008) Prec@5 71.484 (67.770)
Epoch: [26][1680/5005] Time 0.206 (0.223) Data 0.049 (0.071) Loss 2.7391 (2.6042) Prec@1 43.359 (42.003) Prec@5 67.188 (67.769)
Epoch: [26][1690/5005] Time 0.200 (0.223) Data 0.046 (0.070) Loss 2.4309 (2.6037) Prec@1 42.578 (42.008) Prec@5 69.922 (67.779)
Epoch: [26][1700/5005] Time 0.210 (0.223) Data 0.043 (0.070) Loss 2.5494 (2.6032) Prec@1 42.188 (42.017) Prec@5 69.922 (67.782)
Epoch: [26][1710/5005] Time 0.205 (0.223) Data 0.083 (0.070) Loss 2.5594 (2.6026) Prec@1 42.969 (42.027) Prec@5 69.141 (67.790)
Epoch: [26][1720/5005] Time 0.197 (0.223) Data 0.055 (0.071) Loss 2.6386 (2.6027) Prec@1 42.578 (42.028) Prec@5 65.625 (67.786)
Epoch: [26][1730/5005] Time 0.199 (0.223) Data 0.054 (0.071) Loss 2.5308 (2.6026) Prec@1 39.844 (42.028) Prec@5 69.531 (67.787)
Epoch: [26][1740/5005] Time 0.199 (0.223) Data 0.051 (0.071) Loss 2.7031 (2.6024) Prec@1 37.891 (42.021) Prec@5 65.234 (67.793)
Epoch: [26][1750/5005] Time 0.193 (0.223) Data 0.058 (0.071) Loss 2.4872 (2.6018) Prec@1 41.406 (42.029) Prec@5 70.312 (67.805)
Epoch: [26][1760/5005] Time 0.204 (0.224) Data 0.046 (0.071) Loss 2.2906 (2.6014) Prec@1 47.266 (42.037) Prec@5 74.219 (67.813)
Epoch: [26][1770/5005] Time 0.201 (0.224) Data 0.054 (0.071) Loss 2.6031 (2.6014) Prec@1 40.625 (42.033) Prec@5 70.703 (67.816)
Epoch: [26][1780/5005] Time 0.383 (0.224) Data 0.294 (0.071) Loss 2.4511 (2.6011) Prec@1 42.578 (42.034) Prec@5 69.922 (67.820)
Epoch: [26][1790/5005] Time 0.205 (0.224) Data 0.047 (0.071) Loss 2.5060 (2.6007) Prec@1 44.141 (42.040) Prec@5 67.578 (67.823)
Epoch: [26][1800/5005] Time 0.206 (0.224) Data 0.045 (0.072) Loss 2.4559 (2.6003) Prec@1 45.312 (42.048) Prec@5 69.922 (67.833)
Epoch: [26][1810/5005] Time 0.215 (0.224) Data 0.039 (0.071) Loss 2.4560 (2.5998) Prec@1 46.094 (42.052) Prec@5 71.484 (67.841)
Epoch: [26][1820/5005] Time 0.201 (0.223) Data 0.055 (0.071) Loss 2.7129 (2.5995) Prec@1 36.719 (42.058) Prec@5 66.406 (67.848)
Epoch: [26][1830/5005] Time 0.201 (0.224) Data 0.041 (0.072) Loss 2.4001 (2.5991) Prec@1 47.656 (42.067) Prec@5 69.531 (67.853)
Epoch: [26][1840/5005] Time 0.194 (0.224) Data 0.094 (0.072) Loss 2.6604 (2.5990) Prec@1 41.406 (42.070) Prec@5 66.016 (67.856)
Epoch: [26][1850/5005] Time 0.208 (0.224) Data 0.045 (0.072) Loss 2.5439 (2.5987) Prec@1 43.359 (42.077) Prec@5 67.578 (67.860)
Epoch: [26][1860/5005] Time 0.237 (0.224) Data 0.152 (0.072) Loss 2.6023 (2.5986) Prec@1 43.359 (42.074) Prec@5 65.625 (67.862)
Epoch: [26][1870/5005] Time 0.200 (0.224) Data 0.050 (0.072) Loss 2.8170 (2.5989) Prec@1 38.672 (42.069) Prec@5 65.625 (67.857)
Epoch: [26][1880/5005] Time 0.204 (0.224) Data 0.053 (0.073) Loss 2.6514 (2.5991) Prec@1 38.672 (42.065) Prec@5 67.188 (67.855)
Epoch: [26][1890/5005] Time 0.191 (0.224) Data 0.045 (0.073) Loss 2.6149 (2.5990) Prec@1 40.625 (42.063) Prec@5 66.797 (67.859)
Epoch: [26][1900/5005] Time 0.195 (0.224) Data 0.056 (0.073) Loss 2.4459 (2.5993) Prec@1 46.484 (42.060) Prec@5 74.219 (67.859)
Epoch: [26][1910/5005] Time 0.206 (0.224) Data 0.048 (0.073) Loss 2.6105 (2.5993) Prec@1 35.547 (42.057) Prec@5 68.750 (67.857)
Epoch: [26][1920/5005] Time 0.342 (0.224) Data 0.257 (0.073) Loss 2.4167 (2.5990) Prec@1 43.750 (42.056) Prec@5 70.312 (67.862)
Epoch: [26][1930/5005] Time 0.194 (0.224) Data 0.065 (0.073) Loss 2.5475 (2.5989) Prec@1 41.016 (42.059) Prec@5 63.672 (67.863)
Epoch: [26][1940/5005] Time 0.196 (0.224) Data 0.056 (0.073) Loss 2.4787 (2.5987) Prec@1 46.094 (42.058) Prec@5 69.922 (67.869)
Epoch: [26][1950/5005] Time 0.205 (0.224) Data 0.045 (0.073) Loss 2.5968 (2.5985) Prec@1 41.406 (42.063) Prec@5 67.188 (67.871)
Epoch: [26][1960/5005] Time 0.668 (0.225) Data 0.578 (0.074) Loss 2.5776 (2.5983) Prec@1 43.750 (42.068) Prec@5 69.531 (67.882)
Epoch: [26][1970/5005] Time 0.199 (0.225) Data 0.049 (0.074) Loss 2.6623 (2.5984) Prec@1 41.797 (42.067) Prec@5 66.797 (67.882)
Epoch: [26][1980/5005] Time 0.205 (0.224) Data 0.041 (0.074) Loss 2.3787 (2.5982) Prec@1 46.875 (42.071) Prec@5 68.359 (67.885)
Epoch: [26][1990/5005] Time 0.198 (0.225) Data 0.046 (0.074) Loss 2.4382 (2.5980) Prec@1 42.578 (42.068) Prec@5 70.703 (67.889)
Epoch: [26][2000/5005] Time 0.435 (0.225) Data 0.352 (0.074) Loss 2.4735 (2.5981) Prec@1 46.875 (42.073) Prec@5 67.969 (67.887)
Epoch: [26][2010/5005] Time 0.202 (0.225) Data 0.059 (0.074) Loss 2.5455 (2.5982) Prec@1 41.016 (42.066) Prec@5 69.141 (67.885)
Epoch: [26][2020/5005] Time 0.202 (0.225) Data 0.049 (0.074) Loss 2.5975 (2.5982) Prec@1 40.625 (42.065) Prec@5 67.578 (67.886)
Epoch: [26][2030/5005] Time 0.208 (0.225) Data 0.065 (0.074) Loss 2.6530 (2.5983) Prec@1 40.234 (42.066) Prec@5 67.188 (67.886)
Epoch: [26][2040/5005] Time 0.193 (0.225) Data 0.047 (0.074) Loss 2.4009 (2.5980) Prec@1 44.922 (42.068) Prec@5 69.922 (67.889)
Epoch: [26][2050/5005] Time 0.199 (0.225) Data 0.043 (0.074) Loss 2.6212 (2.5976) Prec@1 45.312 (42.081) Prec@5 70.312 (67.895)
Epoch: [26][2060/5005] Time 0.195 (0.225) Data 0.050 (0.075) Loss 2.5377 (2.5975) Prec@1 40.234 (42.075) Prec@5 66.797 (67.893)
Epoch: [26][2070/5005] Time 0.198 (0.225) Data 0.061 (0.075) Loss 2.7265 (2.5976) Prec@1 38.281 (42.073) Prec@5 66.406 (67.892)
Epoch: [26][2080/5005] Time 0.202 (0.225) Data 0.045 (0.075) Loss 2.5890 (2.5975) Prec@1 40.625 (42.070) Prec@5 70.703 (67.895)
Epoch: [26][2090/5005] Time 0.208 (0.225) Data 0.042 (0.075) Loss 2.3208 (2.5968) Prec@1 47.266 (42.077) Prec@5 70.312 (67.905)
Epoch: [26][2100/5005] Time 0.376 (0.225) Data 0.291 (0.075) Loss 2.5672 (2.5966) Prec@1 44.141 (42.086) Prec@5 68.359 (67.906)
Epoch: [26][2110/5005] Time 0.194 (0.225) Data 0.053 (0.075) Loss 2.4487 (2.5966) Prec@1 41.406 (42.090) Prec@5 70.312 (67.907)
Epoch: [26][2120/5005] Time 0.203 (0.225) Data 0.048 (0.075) Loss 2.7100 (2.5964) Prec@1 42.578 (42.097) Prec@5 66.406 (67.913)
Epoch: [26][2130/5005] Time 0.195 (0.225) Data 0.054 (0.075) Loss 2.6515 (2.5961) Prec@1 41.797 (42.097) Prec@5 66.016 (67.921)
Epoch: [26][2140/5005] Time 0.201 (0.225) Data 0.119 (0.075) Loss 2.4083 (2.5958) Prec@1 44.531 (42.103) Prec@5 69.531 (67.921)
Epoch: [26][2150/5005] Time 0.502 (0.225) Data 0.425 (0.075) Loss 2.4103 (2.5955) Prec@1 47.266 (42.111) Prec@5 69.531 (67.926)
Epoch: [26][2160/5005] Time 0.206 (0.225) Data 0.049 (0.076) Loss 2.5835 (2.5955) Prec@1 42.188 (42.112) Prec@5 66.797 (67.928)
Epoch: [26][2170/5005] Time 0.203 (0.225) Data 0.042 (0.076) Loss 2.4411 (2.5949) Prec@1 45.703 (42.123) Prec@5 72.266 (67.941)
Epoch: [26][2180/5005] Time 0.201 (0.225) Data 0.040 (0.076) Loss 2.6662 (2.5948) Prec@1 45.312 (42.123) Prec@5 64.062 (67.947)
Epoch: [26][2190/5005] Time 0.205 (0.225) Data 0.045 (0.076) Loss 2.8210 (2.5947) Prec@1 42.188 (42.127) Prec@5 64.062 (67.951)
Epoch: [26][2200/5005] Time 0.204 (0.226) Data 0.049 (0.076) Loss 2.7083 (2.5950) Prec@1 41.016 (42.125) Prec@5 63.672 (67.947)
Epoch: [26][2210/5005] Time 0.202 (0.226) Data 0.093 (0.076) Loss 2.7850 (2.5952) Prec@1 35.547 (42.124) Prec@5 66.406 (67.945)
Epoch: [26][2220/5005] Time 0.410 (0.226) Data 0.327 (0.076) Loss 2.7099 (2.5951) Prec@1 44.531 (42.131) Prec@5 64.844 (67.943)
Epoch: [26][2230/5005] Time 0.208 (0.225) Data 0.041 (0.076) Loss 2.4997 (2.5952) Prec@1 44.141 (42.130) Prec@5 67.969 (67.943)
Epoch: [26][2240/5005] Time 0.373 (0.225) Data 0.289 (0.076) Loss 2.5729 (2.5952) Prec@1 45.703 (42.126) Prec@5 67.578 (67.942)
Epoch: [26][2250/5005] Time 0.202 (0.226) Data 0.076 (0.076) Loss 2.3722 (2.5951) Prec@1 43.750 (42.123) Prec@5 72.656 (67.945)
Epoch: [26][2260/5005] Time 0.209 (0.226) Data 0.042 (0.076) Loss 2.4224 (2.5947) Prec@1 42.578 (42.130) Prec@5 69.922 (67.949)
Epoch: [26][2270/5005] Time 0.208 (0.226) Data 0.044 (0.076) Loss 2.7991 (2.5945) Prec@1 38.672 (42.137) Prec@5 64.453 (67.952)
Epoch: [26][2280/5005] Time 0.190 (0.226) Data 0.108 (0.076) Loss 2.6210 (2.5945) Prec@1 42.188 (42.139) Prec@5 68.359 (67.951)
Epoch: [26][2290/5005] Time 0.198 (0.226) Data 0.047 (0.077) Loss 2.5056 (2.5946) Prec@1 43.359 (42.134) Prec@5 70.703 (67.949)
Epoch: [26][2300/5005] Time 0.200 (0.226) Data 0.040 (0.077) Loss 2.3353 (2.5945) Prec@1 43.750 (42.135) Prec@5 71.094 (67.952)
Epoch: [26][2310/5005] Time 0.202 (0.226) Data 0.046 (0.077) Loss 2.3544 (2.5942) Prec@1 47.656 (42.144) Prec@5 70.703 (67.954)
Epoch: [26][2320/5005] Time 0.203 (0.226) Data 0.047 (0.077) Loss 2.7609 (2.5941) Prec@1 38.672 (42.148) Prec@5 66.406 (67.956)
Epoch: [26][2330/5005] Time 0.226 (0.226) Data 0.139 (0.077) Loss 2.4010 (2.5938) Prec@1 47.266 (42.154) Prec@5 73.438 (67.960)
Epoch: [26][2340/5005] Time 0.195 (0.226) Data 0.060 (0.077) Loss 2.4792 (2.5933) Prec@1 43.359 (42.158) Prec@5 66.406 (67.966)
Epoch: [26][2350/5005] Time 0.185 (0.226) Data 0.052 (0.077) Loss 2.5542 (2.5931) Prec@1 43.359 (42.162) Prec@5 71.094 (67.969)
Epoch: [26][2360/5005] Time 0.273 (0.226) Data 0.192 (0.077) Loss 2.5682 (2.5932) Prec@1 42.969 (42.163) Prec@5 68.750 (67.967)
Epoch: [26][2370/5005] Time 0.286 (0.226) Data 0.206 (0.077) Loss 2.6885 (2.5932) Prec@1 40.234 (42.161) Prec@5 67.188 (67.963)
Epoch: [26][2380/5005] Time 0.200 (0.226) Data 0.045 (0.077) Loss 2.6170 (2.5927) Prec@1 40.625 (42.169) Prec@5 67.188 (67.972)
Epoch: [26][2390/5005] Time 0.211 (0.226) Data 0.048 (0.077) Loss 2.5641 (2.5924) Prec@1 40.234 (42.172) Prec@5 66.797 (67.975)
Epoch: [26][2400/5005] Time 0.475 (0.226) Data 0.393 (0.077) Loss 2.5122 (2.5922) Prec@1 42.188 (42.167) Prec@5 69.141 (67.978)
Epoch: [26][2410/5005] Time 0.201 (0.226) Data 0.044 (0.077) Loss 2.6541 (2.5921) Prec@1 40.625 (42.167) Prec@5 66.406 (67.979)
Epoch: [26][2420/5005] Time 0.200 (0.226) Data 0.045 (0.077) Loss 2.5352 (2.5917) Prec@1 48.828 (42.178) Prec@5 67.969 (67.984)
Epoch: [26][2430/5005] Time 0.194 (0.226) Data 0.043 (0.078) Loss 2.4384 (2.5916) Prec@1 44.141 (42.180) Prec@5 70.703 (67.984)
Epoch: [26][2440/5005] Time 0.302 (0.226) Data 0.212 (0.078) Loss 2.3634 (2.5915) Prec@1 47.266 (42.185) Prec@5 74.609 (67.990)
Epoch: [26][2450/5005] Time 0.193 (0.226) Data 0.046 (0.078) Loss 2.4936 (2.5914) Prec@1 43.750 (42.190) Prec@5 69.922 (67.987)
Epoch: [26][2460/5005] Time 0.198 (0.226) Data 0.053 (0.078) Loss 2.5956 (2.5913) Prec@1 38.672 (42.192) Prec@5 67.188 (67.986)
Epoch: [26][2470/5005] Time 0.204 (0.226) Data 0.047 (0.078) Loss 2.4467 (2.5911) Prec@1 43.750 (42.197) Prec@5 69.141 (67.989)
Epoch: [26][2480/5005] Time 0.207 (0.226) Data 0.046 (0.078) Loss 2.7487 (2.5913) Prec@1 37.891 (42.189) Prec@5 65.625 (67.982)
Epoch: [26][2490/5005] Time 0.225 (0.226) Data 0.143 (0.078) Loss 2.4319 (2.5913) Prec@1 45.312 (42.186) Prec@5 72.266 (67.983)
Epoch: [26][2500/5005] Time 0.233 (0.226) Data 0.151 (0.078) Loss 2.6053 (2.5911) Prec@1 45.703 (42.190) Prec@5 67.188 (67.987)
Epoch: [26][2510/5005] Time 0.203 (0.227) Data 0.051 (0.078) Loss 2.7114 (2.5911) Prec@1 36.719 (42.188) Prec@5 68.750 (67.987)
Epoch: [26][2520/5005] Time 0.201 (0.227) Data 0.044 (0.078) Loss 2.4462 (2.5908) Prec@1 44.922 (42.192) Prec@5 70.703 (67.990)
Epoch: [26][2530/5005] Time 0.202 (0.227) Data 0.049 (0.079) Loss 2.7477 (2.5908) Prec@1 40.234 (42.194) Prec@5 65.234 (67.988)
Epoch: [26][2540/5005] Time 0.197 (0.227) Data 0.043 (0.079) Loss 2.5376 (2.5908) Prec@1 39.062 (42.194) Prec@5 67.969 (67.987)
Epoch: [26][2550/5005] Time 0.196 (0.227) Data 0.044 (0.078) Loss 2.5645 (2.5906) Prec@1 37.891 (42.194) Prec@5 71.484 (67.991)
Epoch: [26][2560/5005] Time 0.188 (0.227) Data 0.046 (0.078) Loss 2.7392 (2.5906) Prec@1 40.234 (42.200) Prec@5 63.672 (67.988)
Epoch: [26][2570/5005] Time 0.207 (0.227) Data 0.042 (0.078) Loss 2.6455 (2.5907) Prec@1 38.281 (42.197) Prec@5 67.188 (67.987)
Epoch: [26][2580/5005] Time 0.197 (0.226) Data 0.045 (0.078) Loss 2.5808 (2.5909) Prec@1 39.844 (42.192) Prec@5 67.578 (67.984)
Epoch: [26][2590/5005] Time 0.197 (0.227) Data 0.049 (0.079) Loss 2.8212 (2.5907) Prec@1 40.234 (42.194) Prec@5 65.234 (67.988)
Epoch: [26][2600/5005] Time 0.340 (0.227) Data 0.252 (0.079) Loss 2.5689 (2.5908) Prec@1 40.234 (42.191) Prec@5 67.969 (67.984)
Epoch: [26][2610/5005] Time 0.216 (0.227) Data 0.049 (0.079) Loss 2.7150 (2.5905) Prec@1 41.406 (42.199) Prec@5 65.625 (67.988)
Epoch: [26][2620/5005] Time 0.214 (0.227) Data 0.130 (0.079) Loss 2.4864 (2.5903) Prec@1 43.750 (42.200) Prec@5 69.922 (67.993)
Epoch: [26][2630/5005] Time 0.203 (0.227) Data 0.048 (0.079) Loss 2.7390 (2.5905) Prec@1 39.062 (42.196) Prec@5 66.406 (67.988)
Epoch: [26][2640/5005] Time 0.245 (0.227) Data 0.157 (0.079) Loss 2.7189 (2.5904) Prec@1 38.281 (42.197) Prec@5 66.016 (67.992)
Epoch: [26][2650/5005] Time 0.204 (0.227) Data 0.040 (0.079) Loss 2.7933 (2.5903) Prec@1 39.453 (42.198) Prec@5 65.625 (67.991)
Epoch: [26][2660/5005] Time 0.209 (0.227) Data 0.053 (0.079) Loss 2.5911 (2.5903) Prec@1 39.844 (42.200) Prec@5 68.750 (67.991)
Epoch: [26][2670/5005] Time 0.385 (0.227) Data 0.300 (0.079) Loss 2.3167 (2.5899) Prec@1 45.312 (42.209) Prec@5 70.312 (67.995)
Epoch: [26][2680/5005] Time 0.200 (0.227) Data 0.045 (0.079) Loss 2.4305 (2.5898) Prec@1 43.750 (42.208) Prec@5 72.266 (67.997)
Epoch: [26][2690/5005] Time 0.205 (0.227) Data 0.041 (0.079) Loss 2.4048 (2.5896) Prec@1 48.438 (42.213) Prec@5 71.875 (68.000)
Epoch: [26][2700/5005] Time 0.870 (0.227) Data 0.791 (0.080) Loss 2.5382 (2.5895) Prec@1 41.016 (42.207) Prec@5 66.797 (67.999)
Epoch: [26][2710/5005] Time 0.203 (0.227) Data 0.062 (0.079) Loss 2.4380 (2.5896) Prec@1 44.922 (42.202) Prec@5 68.750 (67.998)
Epoch: [26][2720/5005] Time 0.210 (0.227) Data 0.046 (0.079) Loss 2.4496 (2.5895) Prec@1 47.656 (42.202) Prec@5 71.094 (68.000)
Epoch: [26][2730/5005] Time 0.197 (0.227) Data 0.048 (0.079) Loss 2.6137 (2.5891) Prec@1 44.141 (42.211) Prec@5 67.578 (68.006)
Epoch: [26][2740/5005] Time 0.181 (0.227) Data 0.056 (0.080) Loss 2.4661 (2.5889) Prec@1 43.359 (42.215) Prec@5 70.703 (68.011)
Epoch: [26][2750/5005] Time 0.198 (0.227) Data 0.044 (0.079) Loss 2.6257 (2.5886) Prec@1 39.062 (42.221) Prec@5 67.969 (68.013)
Epoch: [26][2760/5005] Time 0.204 (0.227) Data 0.065 (0.079) Loss 2.4610 (2.5883) Prec@1 46.484 (42.227) Prec@5 70.703 (68.021)
Epoch: [26][2770/5005] Time 0.208 (0.227) Data 0.047 (0.079) Loss 2.4470 (2.5883) Prec@1 44.922 (42.226) Prec@5 68.750 (68.020)
Epoch: [26][2780/5005] Time 0.202 (0.227) Data 0.043 (0.080) Loss 2.8588 (2.5881) Prec@1 39.844 (42.233) Prec@5 64.062 (68.023)
Epoch: [26][2790/5005] Time 0.218 (0.227) Data 0.125 (0.080) Loss 2.8076 (2.5882) Prec@1 37.500 (42.238) Prec@5 62.500 (68.021)
Epoch: [26][2800/5005] Time 0.199 (0.227) Data 0.042 (0.080) Loss 2.2779 (2.5880) Prec@1 47.266 (42.243) Prec@5 73.047 (68.021)
Epoch: [26][2810/5005] Time 0.202 (0.227) Data 0.039 (0.080) Loss 2.6836 (2.5879) Prec@1 42.969 (42.247) Prec@5 67.578 (68.023)
Epoch: [26][2820/5005] Time 0.221 (0.227) Data 0.136 (0.080) Loss 2.3336 (2.5877) Prec@1 42.188 (42.252) Prec@5 73.438 (68.026)
Epoch: [26][2830/5005] Time 0.205 (0.227) Data 0.047 (0.080) Loss 2.9243 (2.5878) Prec@1 37.500 (42.248) Prec@5 62.500 (68.029)
Epoch: [26][2840/5005] Time 0.203 (0.227) Data 0.043 (0.080) Loss 2.6044 (2.5876) Prec@1 41.406 (42.251) Prec@5 67.969 (68.030)
Epoch: [26][2850/5005] Time 0.762 (0.227) Data 0.679 (0.080) Loss 2.6149 (2.5872) Prec@1 44.531 (42.261) Prec@5 65.625 (68.038)
Epoch: [26][2860/5005] Time 0.201 (0.227) Data 0.048 (0.080) Loss 2.6178 (2.5872) Prec@1 41.797 (42.265) Prec@5 67.578 (68.038)
Epoch: [26][2870/5005] Time 0.196 (0.227) Data 0.063 (0.080) Loss 2.4865 (2.5868) Prec@1 41.797 (42.272) Prec@5 70.312 (68.045)
Epoch: [26][2880/5005] Time 0.553 (0.227) Data 0.475 (0.080) Loss 2.6609 (2.5867) Prec@1 35.156 (42.272) Prec@5 69.922 (68.049)
Epoch: [26][2890/5005] Time 0.199 (0.227) Data 0.055 (0.080) Loss 2.5743 (2.5865) Prec@1 38.281 (42.276) Prec@5 68.359 (68.054)
Epoch: [26][2900/5005] Time 0.202 (0.227) Data 0.043 (0.080) Loss 2.2428 (2.5862) Prec@1 46.484 (42.281) Prec@5 75.000 (68.062)
Epoch: [26][2910/5005] Time 0.200 (0.227) Data 0.050 (0.080) Loss 2.5470 (2.5861) Prec@1 40.234 (42.283) Prec@5 69.922 (68.067)
Epoch: [26][2920/5005] Time 0.187 (0.227) Data 0.104 (0.080) Loss 2.5778 (2.5859) Prec@1 42.188 (42.283) Prec@5 68.750 (68.071)
Epoch: [26][2930/5005] Time 0.251 (0.227) Data 0.169 (0.080) Loss 2.7812 (2.5860) Prec@1 40.234 (42.284) Prec@5 62.500 (68.070)
Epoch: [26][2940/5005] Time 0.190 (0.227) Data 0.052 (0.080) Loss 2.5776 (2.5857) Prec@1 39.062 (42.288) Prec@5 69.141 (68.073)
Epoch: [26][2950/5005] Time 0.206 (0.227) Data 0.047 (0.080) Loss 2.8733 (2.5854) Prec@1 30.469 (42.290) Prec@5 64.062 (68.079)
Epoch: [26][2960/5005] Time 0.208 (0.227) Data 0.047 (0.080) Loss 2.6553 (2.5851) Prec@1 42.578 (42.297) Prec@5 65.234 (68.082)
Epoch: [26][2970/5005] Time 0.352 (0.227) Data 0.267 (0.081) Loss 2.5924 (2.5850) Prec@1 37.891 (42.296) Prec@5 69.531 (68.084)
Epoch: [26][2980/5005] Time 0.198 (0.227) Data 0.047 (0.081) Loss 2.6657 (2.5851) Prec@1 40.234 (42.295) Prec@5 66.406 (68.084)
Epoch: [26][2990/5005] Time 0.664 (0.227) Data 0.583 (0.081) Loss 2.5161 (2.5850) Prec@1 41.406 (42.296) Prec@5 70.312 (68.086)
Epoch: [26][3000/5005] Time 0.202 (0.227) Data 0.056 (0.081) Loss 2.5376 (2.5847) Prec@1 41.016 (42.301) Prec@5 67.188 (68.091)
Epoch: [26][3010/5005] Time 0.207 (0.227) Data 0.039 (0.081) Loss 2.4657 (2.5849) Prec@1 42.969 (42.297) Prec@5 67.969 (68.088)
Epoch: [26][3020/5005] Time 0.201 (0.227) Data 0.060 (0.081) Loss 2.4100 (2.5850) Prec@1 41.797 (42.291) Prec@5 72.266 (68.087)
Epoch: [26][3030/5005] Time 0.202 (0.227) Data 0.051 (0.081) Loss 2.5398 (2.5848) Prec@1 43.359 (42.294) Prec@5 69.141 (68.090)
Epoch: [26][3040/5005] Time 0.211 (0.227) Data 0.049 (0.081) Loss 2.3539 (2.5845) Prec@1 48.047 (42.302) Prec@5 71.484 (68.091)
Epoch: [26][3050/5005] Time 0.204 (0.227) Data 0.038 (0.081) Loss 2.5514 (2.5845) Prec@1 41.406 (42.299) Prec@5 68.750 (68.095)
Epoch: [26][3060/5005] Time 0.474 (0.227) Data 0.393 (0.081) Loss 2.3404 (2.5842) Prec@1 45.703 (42.299) Prec@5 71.094 (68.099)
Epoch: [26][3070/5005] Time 0.197 (0.227) Data 0.048 (0.081) Loss 2.5131 (2.5842) Prec@1 46.094 (42.302) Prec@5 69.531 (68.100)
Epoch: [26][3080/5005] Time 0.198 (0.227) Data 0.045 (0.081) Loss 2.4865 (2.5841) Prec@1 44.141 (42.300) Prec@5 70.703 (68.101)
Epoch: [26][3090/5005] Time 0.204 (0.227) Data 0.044 (0.081) Loss 2.9222 (2.5841) Prec@1 35.156 (42.303) Prec@5 64.453 (68.103)
Epoch: [26][3100/5005] Time 0.244 (0.227) Data 0.163 (0.081) Loss 2.5126 (2.5841) Prec@1 42.969 (42.298) Prec@5 68.750 (68.102)
Epoch: [26][3110/5005] Time 0.201 (0.227) Data 0.054 (0.081) Loss 2.4532 (2.5838) Prec@1 42.188 (42.299) Prec@5 72.656 (68.110)
Epoch: [26][3120/5005] Time 0.206 (0.227) Data 0.046 (0.081) Loss 2.6052 (2.5836) Prec@1 39.844 (42.302) Prec@5 66.797 (68.111)
Epoch: [26][3130/5005] Time 0.197 (0.227) Data 0.045 (0.081) Loss 2.6603 (2.5833) Prec@1 37.109 (42.309) Prec@5 68.359 (68.114)
Epoch: [26][3140/5005] Time 0.203 (0.227) Data 0.052 (0.081) Loss 2.2947 (2.5830) Prec@1 48.828 (42.317) Prec@5 70.703 (68.117)
Epoch: [26][3150/5005] Time 0.436 (0.227) Data 0.345 (0.081) Loss 2.4978 (2.5827) Prec@1 45.703 (42.323) Prec@5 69.141 (68.123)
Epoch: [26][3160/5005] Time 0.197 (0.227) Data 0.051 (0.081) Loss 2.4593 (2.5827) Prec@1 46.094 (42.329) Prec@5 67.578 (68.123)
Epoch: [26][3170/5005] Time 0.207 (0.227) Data 0.049 (0.081) Loss 2.5897 (2.5827) Prec@1 41.016 (42.326) Prec@5 72.266 (68.122)
Epoch: [26][3180/5005] Time 0.385 (0.227) Data 0.298 (0.081) Loss 2.4340 (2.5827) Prec@1 45.312 (42.328) Prec@5 69.531 (68.122)
Epoch: [26][3190/5005] Time 0.555 (0.227) Data 0.475 (0.081) Loss 2.5427 (2.5827) Prec@1 43.750 (42.329) Prec@5 66.406 (68.124)
Epoch: [26][3200/5005] Time 0.194 (0.227) Data 0.057 (0.082) Loss 2.6574 (2.5825) Prec@1 42.578 (42.333) Prec@5 66.016 (68.125)
Epoch: [26][3210/5005] Time 0.207 (0.227) Data 0.046 (0.082) Loss 2.7798 (2.5825) Prec@1 40.234 (42.337) Prec@5 63.672 (68.127)
Epoch: [26][3220/5005] Time 0.198 (0.227) Data 0.048 (0.082) Loss 2.5360 (2.5824) Prec@1 45.703 (42.342) Prec@5 69.141 (68.129)
Epoch: [26][3230/5005] Time 0.199 (0.227) Data 0.045 (0.082) Loss 2.4432 (2.5821) Prec@1 40.625 (42.350) Prec@5 70.312 (68.134)
Epoch: [26][3240/5005] Time 0.189 (0.228) Data 0.044 (0.082) Loss 2.7944 (2.5824) Prec@1 35.938 (42.346) Prec@5 63.672 (68.129)
Epoch: [26][3250/5005] Time 0.447 (0.228) Data 0.361 (0.082) Loss 2.4904 (2.5823) Prec@1 44.922 (42.349) Prec@5 68.750 (68.130)
Epoch: [26][3260/5005] Time 0.198 (0.228) Data 0.048 (0.082) Loss 2.5463 (2.5823) Prec@1 43.750 (42.350) Prec@5 67.969 (68.129)
Epoch: [26][3270/5005] Time 0.197 (0.228) Data 0.052 (0.082) Loss 2.7925 (2.5821) Prec@1 42.188 (42.354) Prec@5 62.109 (68.130)
Epoch: [26][3280/5005] Time 0.200 (0.228) Data 0.040 (0.082) Loss 2.4238 (2.5822) Prec@1 47.656 (42.353) Prec@5 72.266 (68.129)
Epoch: [26][3290/5005] Time 0.198 (0.228) Data 0.042 (0.082) Loss 2.5863 (2.5819) Prec@1 41.797 (42.357) Prec@5 69.141 (68.134)
Epoch: [26][3300/5005] Time 0.195 (0.228) Data 0.041 (0.082) Loss 2.5345 (2.5818) Prec@1 39.062 (42.358) Prec@5 67.188 (68.133)
Epoch: [26][3310/5005] Time 0.203 (0.228) Data 0.041 (0.082) Loss 2.4026 (2.5817) Prec@1 45.703 (42.359) Prec@5 69.922 (68.133)
Epoch: [26][3320/5005] Time 0.204 (0.228) Data 0.047 (0.082) Loss 2.6140 (2.5815) Prec@1 43.359 (42.364) Prec@5 66.406 (68.135)
Epoch: [26][3330/5005] Time 0.202 (0.228) Data 0.046 (0.082) Loss 2.5862 (2.5814) Prec@1 41.797 (42.365) Prec@5 64.844 (68.138)
Epoch: [26][3340/5005] Time 0.208 (0.228) Data 0.042 (0.082) Loss 2.7334 (2.5813) Prec@1 40.234 (42.367) Prec@5 65.234 (68.137)
Epoch: [26][3350/5005] Time 0.195 (0.228) Data 0.100 (0.082) Loss 2.5964 (2.5811) Prec@1 40.234 (42.371) Prec@5 70.312 (68.144)
Epoch: [26][3360/5005] Time 0.197 (0.228) Data 0.044 (0.082) Loss 2.4533 (2.5811) Prec@1 46.094 (42.369) Prec@5 71.875 (68.143)
Epoch: [26][3370/5005] Time 0.593 (0.228) Data 0.507 (0.082) Loss 2.6268 (2.5811) Prec@1 39.453 (42.368) Prec@5 68.359 (68.140)
Epoch: [26][3380/5005] Time 0.207 (0.228) Data 0.050 (0.082) Loss 2.5686 (2.5808) Prec@1 46.094 (42.373) Prec@5 69.922 (68.144)
Epoch: [26][3390/5005] Time 0.201 (0.228) Data 0.044 (0.082) Loss 2.4404 (2.5809) Prec@1 45.312 (42.372) Prec@5 73.047 (68.144)
Epoch: [26][3400/5005] Time 0.195 (0.228) Data 0.047 (0.082) Loss 2.4475 (2.5809) Prec@1 43.359 (42.373) Prec@5 70.703 (68.142)
Epoch: [26][3410/5005] Time 0.440 (0.228) Data 0.352 (0.082) Loss 2.5255 (2.5807) Prec@1 40.625 (42.372) Prec@5 69.531 (68.145)
Epoch: [26][3420/5005] Time 0.202 (0.228) Data 0.045 (0.082) Loss 2.5704 (2.5806) Prec@1 37.891 (42.374) Prec@5 70.312 (68.146)
Epoch: [26][3430/5005] Time 0.195 (0.228) Data 0.047 (0.082) Loss 2.6141 (2.5805) Prec@1 44.141 (42.379) Prec@5 66.406 (68.145)
Epoch: [26][3440/5005] Time 0.208 (0.228) Data 0.041 (0.083) Loss 2.7210 (2.5804) Prec@1 42.188 (42.383) Prec@5 62.891 (68.148)
Epoch: [26][3450/5005] Time 0.202 (0.228) Data 0.047 (0.083) Loss 2.3957 (2.5801) Prec@1 46.875 (42.390) Prec@5 69.922 (68.153)
Epoch: [26][3460/5005] Time 0.198 (0.228) Data 0.049 (0.083) Loss 2.5189 (2.5801) Prec@1 44.531 (42.391) Prec@5 71.094 (68.153)
Epoch: [26][3470/5005] Time 0.207 (0.228) Data 0.044 (0.083) Loss 2.3343 (2.5799) Prec@1 47.266 (42.395) Prec@5 74.609 (68.158)
Epoch: [26][3480/5005] Time 0.194 (0.228) Data 0.047 (0.083) Loss 2.5326 (2.5796) Prec@1 45.312 (42.399) Prec@5 70.312 (68.164)
Epoch: [26][3490/5005] Time 0.198 (0.228) Data 0.046 (0.083) Loss 2.7282 (2.5795) Prec@1 38.672 (42.403) Prec@5 65.625 (68.165)
Epoch: [26][3500/5005] Time 0.206 (0.228) Data 0.041 (0.083) Loss 2.2466 (2.5795) Prec@1 50.391 (42.406) Prec@5 73.828 (68.165)
Epoch: [26][3510/5005] Time 0.202 (0.228) Data 0.045 (0.083) Loss 2.4908 (2.5792) Prec@1 41.406 (42.410) Prec@5 67.969 (68.168)
Epoch: [26][3520/5005] Time 0.274 (0.228) Data 0.187 (0.083) Loss 2.6913 (2.5792) Prec@1 45.703 (42.413) Prec@5 66.016 (68.170)
Epoch: [26][3530/5005] Time 0.196 (0.228) Data 0.052 (0.083) Loss 2.6127 (2.5790) Prec@1 42.188 (42.418) Prec@5 70.703 (68.173)
Epoch: [26][3540/5005] Time 0.189 (0.228) Data 0.049 (0.083) Loss 2.3961 (2.5787) Prec@1 47.656 (42.424) Prec@5 69.922 (68.178)
Epoch: [26][3550/5005] Time 0.277 (0.228) Data 0.190 (0.083) Loss 2.6327 (2.5785) Prec@1 40.234 (42.425) Prec@5 66.406 (68.181)
Epoch: [26][3560/5005] Time 0.198 (0.228) Data 0.052 (0.083) Loss 2.6484 (2.5783) Prec@1 41.016 (42.428) Prec@5 67.188 (68.183)
Epoch: [26][3570/5005] Time 0.211 (0.228) Data 0.125 (0.083) Loss 2.7058 (2.5783) Prec@1 41.016 (42.429) Prec@5 64.844 (68.183)
Epoch: [26][3580/5005] Time 0.204 (0.228) Data 0.068 (0.083) Loss 2.5744 (2.5781) Prec@1 42.578 (42.435) Prec@5 68.750 (68.188)
Epoch: [26][3590/5005] Time 0.196 (0.228) Data 0.053 (0.083) Loss 2.5969 (2.5777) Prec@1 43.359 (42.443) Prec@5 67.969 (68.195)
Epoch: [26][3600/5005] Time 0.196 (0.228) Data 0.047 (0.083) Loss 2.7326 (2.5774) Prec@1 40.625 (42.445) Prec@5 64.453 (68.201)
Epoch: [26][3610/5005] Time 0.197 (0.228) Data 0.088 (0.083) Loss 2.4439 (2.5772) Prec@1 44.531 (42.446) Prec@5 70.312 (68.202)
Epoch: [26][3620/5005] Time 0.205 (0.228) Data 0.044 (0.083) Loss 2.6179 (2.5768) Prec@1 41.797 (42.453) Prec@5 66.406 (68.208)
Epoch: [26][3630/5005] Time 0.209 (0.228) Data 0.044 (0.083) Loss 2.7804 (2.5766) Prec@1 41.016 (42.455) Prec@5 64.062 (68.210)
Epoch: [26][3640/5005] Time 0.195 (0.228) Data 0.100 (0.083) Loss 2.5037 (2.5766) Prec@1 41.406 (42.456) Prec@5 69.922 (68.211)
Epoch: [26][3650/5005] Time 0.203 (0.228) Data 0.040 (0.083) Loss 2.3402 (2.5765) Prec@1 45.312 (42.456) Prec@5 74.219 (68.214)
Epoch: [26][3660/5005] Time 0.215 (0.228) Data 0.046 (0.083) Loss 2.7492 (2.5762) Prec@1 38.281 (42.461) Prec@5 67.188 (68.219)
Epoch: [26][3670/5005] Time 0.331 (0.228) Data 0.246 (0.083) Loss 2.7555 (2.5762) Prec@1 40.234 (42.459) Prec@5 62.500 (68.219)
Epoch: [26][3680/5005] Time 0.200 (0.228) Data 0.069 (0.083) Loss 2.4308 (2.5762) Prec@1 44.141 (42.460) Prec@5 67.969 (68.217)
Epoch: [26][3690/5005] Time 0.203 (0.228) Data 0.051 (0.083) Loss 2.3723 (2.5760) Prec@1 46.875 (42.463) Prec@5 72.266 (68.223)
Epoch: [26][3700/5005] Time 0.214 (0.228) Data 0.047 (0.083) Loss 2.6682 (2.5759) Prec@1 39.844 (42.464) Prec@5 67.188 (68.225)
Epoch: [26][3710/5005] Time 0.195 (0.228) Data 0.044 (0.083) Loss 2.3681 (2.5759) Prec@1 44.922 (42.466) Prec@5 72.266 (68.226)
Epoch: [26][3720/5005] Time 0.203 (0.228) Data 0.043 (0.083) Loss 2.7152 (2.5758) Prec@1 40.625 (42.469) Prec@5 66.406 (68.225)
Epoch: [26][3730/5005] Time 0.194 (0.228) Data 0.048 (0.083) Loss 2.3971 (2.5755) Prec@1 43.359 (42.472) Prec@5 72.266 (68.226)
Epoch: [26][3740/5005] Time 0.203 (0.228) Data 0.045 (0.083) Loss 2.5266 (2.5752) Prec@1 43.359 (42.473) Prec@5 68.359 (68.231)
Epoch: [26][3750/5005] Time 0.200 (0.228) Data 0.047 (0.083) Loss 2.4733 (2.5753) Prec@1 42.969 (42.471) Prec@5 72.266 (68.231)
Epoch: [26][3760/5005] Time 0.743 (0.229) Data 0.654 (0.084) Loss 2.5632 (2.5754) Prec@1 42.969 (42.471) Prec@5 66.406 (68.229)
Epoch: [26][3770/5005] Time 0.209 (0.229) Data 0.054 (0.084) Loss 2.4803 (2.5752) Prec@1 45.703 (42.476) Prec@5 69.531 (68.232)
Epoch: [26][3780/5005] Time 0.202 (0.228) Data 0.047 (0.083) Loss 2.4598 (2.5751) Prec@1 41.406 (42.479) Prec@5 68.750 (68.232)
Epoch: [26][3790/5005] Time 0.197 (0.228) Data 0.046 (0.083) Loss 2.6931 (2.5750) Prec@1 39.844 (42.480) Prec@5 65.234 (68.232)
Epoch: [26][3800/5005] Time 0.205 (0.228) Data 0.048 (0.083) Loss 2.5565 (2.5751) Prec@1 43.750 (42.476) Prec@5 69.922 (68.231)
Epoch: [26][3810/5005] Time 0.248 (0.228) Data 0.164 (0.083) Loss 2.3706 (2.5750) Prec@1 47.266 (42.477) Prec@5 70.703 (68.230)
Epoch: [26][3820/5005] Time 0.193 (0.228) Data 0.111 (0.083) Loss 2.4055 (2.5748) Prec@1 43.359 (42.481) Prec@5 73.047 (68.236)
Epoch: [26][3830/5005] Time 0.207 (0.228) Data 0.038 (0.083) Loss 2.6335 (2.5745) Prec@1 37.109 (42.484) Prec@5 64.844 (68.240)
Epoch: [26][3840/5005] Time 0.994 (0.229) Data 0.912 (0.084) Loss 2.8112 (2.5745) Prec@1 37.891 (42.483) Prec@5 60.938 (68.240)
Epoch: [26][3850/5005] Time 0.204 (0.229) Data 0.048 (0.084) Loss 2.6057 (2.5743) Prec@1 45.703 (42.486) Prec@5 67.969 (68.243)
Epoch: [26][3860/5005] Time 0.204 (0.229) Data 0.041 (0.084) Loss 2.2715 (2.5742) Prec@1 49.219 (42.491) Prec@5 73.438 (68.245)
Epoch: [26][3870/5005] Time 0.197 (0.229) Data 0.045 (0.084) Loss 2.4469 (2.5742) Prec@1 41.406 (42.488) Prec@5 71.875 (68.244)
Epoch: [26][3880/5005] Time 0.199 (0.229) Data 0.049 (0.084) Loss 2.4829 (2.5742) Prec@1 45.312 (42.488) Prec@5 69.531 (68.244)
Epoch: [26][3890/5005] Time 0.207 (0.229) Data 0.042 (0.084) Loss 2.8003 (2.5740) Prec@1 39.844 (42.492) Prec@5 65.625 (68.246)
Epoch: [26][3900/5005] Time 0.396 (0.229) Data 0.307 (0.084) Loss 2.9195 (2.5741) Prec@1 37.109 (42.490) Prec@5 62.891 (68.247)
Epoch: [26][3910/5005] Time 0.210 (0.229) Data 0.046 (0.084) Loss 2.6364 (2.5739) Prec@1 38.672 (42.494) Prec@5 67.188 (68.250)
Epoch: [26][3920/5005] Time 0.281 (0.229) Data 0.187 (0.084) Loss 2.5410 (2.5739) Prec@1 46.094 (42.495) Prec@5 69.922 (68.250)
Epoch: [26][3930/5005] Time 0.195 (0.229) Data 0.050 (0.084) Loss 2.4959 (2.5737) Prec@1 39.453 (42.498) Prec@5 67.578 (68.254)
Epoch: [26][3940/5005] Time 0.508 (0.229) Data 0.425 (0.084) Loss 2.5784 (2.5735) Prec@1 42.578 (42.502) Prec@5 64.453 (68.258)
Epoch: [26][3950/5005] Time 0.198 (0.229) Data 0.072 (0.084) Loss 2.2957 (2.5732) Prec@1 48.047 (42.507) Prec@5 72.266 (68.262)
Epoch: [26][3960/5005] Time 0.197 (0.229) Data 0.085 (0.084) Loss 2.4086 (2.5731) Prec@1 46.875 (42.509) Prec@5 73.828 (68.264)
Epoch: [26][3970/5005] Time 0.191 (0.229) Data 0.049 (0.084) Loss 2.4010 (2.5729) Prec@1 45.703 (42.511) Prec@5 72.656 (68.268)
Epoch: [26][3980/5005] Time 0.202 (0.229) Data 0.040 (0.084) Loss 2.3840 (2.5728) Prec@1 44.141 (42.514) Prec@5 71.875 (68.271)
Epoch: [26][3990/5005] Time 0.196 (0.229) Data 0.046 (0.084) Loss 2.6564 (2.5727) Prec@1 46.484 (42.512) Prec@5 69.141 (68.275)
Epoch: [26][4000/5005] Time 0.209 (0.229) Data 0.046 (0.084) Loss 2.4658 (2.5727) Prec@1 42.969 (42.512) Prec@5 65.625 (68.274)
Epoch: [26][4010/5005] Time 0.203 (0.229) Data 0.044 (0.084) Loss 2.5402 (2.5724) Prec@1 42.578 (42.516) Prec@5 68.359 (68.281)
Epoch: [26][4020/5005] Time 0.192 (0.229) Data 0.049 (0.084) Loss 2.6397 (2.5721) Prec@1 40.234 (42.521) Prec@5 67.188 (68.283)
Epoch: [26][4030/5005] Time 0.202 (0.229) Data 0.041 (0.084) Loss 2.7396 (2.5723) Prec@1 38.281 (42.520) Prec@5 65.625 (68.279)
Epoch: [26][4040/5005] Time 0.205 (0.229) Data 0.041 (0.084) Loss 2.6152 (2.5722) Prec@1 42.188 (42.523) Prec@5 64.062 (68.282)
Epoch: [26][4050/5005] Time 0.201 (0.229) Data 0.040 (0.084) Loss 2.7095 (2.5720) Prec@1 39.844 (42.526) Prec@5 64.844 (68.283)
Epoch: [26][4060/5005] Time 0.186 (0.229) Data 0.056 (0.084) Loss 2.5889 (2.5719) Prec@1 41.016 (42.531) Prec@5 65.234 (68.285)
Epoch: [26][4070/5005] Time 0.202 (0.229) Data 0.052 (0.084) Loss 2.6575 (2.5717) Prec@1 42.188 (42.534) Prec@5 69.141 (68.288)
Epoch: [26][4080/5005] Time 0.202 (0.229) Data 0.042 (0.084) Loss 2.4585 (2.5716) Prec@1 42.578 (42.536) Prec@5 67.969 (68.289)
Epoch: [26][4090/5005] Time 0.198 (0.229) Data 0.045 (0.084) Loss 2.5838 (2.5715) Prec@1 48.047 (42.539) Prec@5 67.578 (68.291)
Epoch: [26][4100/5005] Time 0.201 (0.229) Data 0.044 (0.084) Loss 2.5286 (2.5713) Prec@1 41.016 (42.541) Prec@5 67.969 (68.296)
Epoch: [26][4110/5005] Time 0.205 (0.229) Data 0.046 (0.084) Loss 2.5121 (2.5710) Prec@1 41.797 (42.544) Prec@5 68.750 (68.301)
Epoch: [26][4120/5005] Time 0.204 (0.229) Data 0.050 (0.084) Loss 2.7540 (2.5708) Prec@1 39.844 (42.546) Prec@5 66.406 (68.302)
Epoch: [26][4130/5005] Time 0.205 (0.229) Data 0.054 (0.084) Loss 2.6265 (2.5707) Prec@1 38.281 (42.546) Prec@5 64.844 (68.304)
Epoch: [26][4140/5005] Time 0.215 (0.229) Data 0.042 (0.084) Loss 2.6545 (2.5706) Prec@1 41.797 (42.550) Prec@5 65.234 (68.306)
Epoch: [26][4150/5005] Time 0.204 (0.229) Data 0.064 (0.084) Loss 2.7083 (2.5705) Prec@1 39.453 (42.549) Prec@5 66.406 (68.308)
Epoch: [26][4160/5005] Time 0.210 (0.229) Data 0.046 (0.084) Loss 2.5071 (2.5706) Prec@1 43.750 (42.549) Prec@5 71.094 (68.307)
Epoch: [26][4170/5005] Time 0.195 (0.229) Data 0.064 (0.084) Loss 2.3829 (2.5703) Prec@1 44.922 (42.554) Prec@5 74.219 (68.312)
Epoch: [26][4180/5005] Time 0.200 (0.229) Data 0.049 (0.084) Loss 2.4451 (2.5702) Prec@1 43.750 (42.554) Prec@5 71.484 (68.314)
Epoch: [26][4190/5005] Time 0.200 (0.229) Data 0.048 (0.084) Loss 2.4472 (2.5701) Prec@1 45.312 (42.558) Prec@5 68.359 (68.314)
Epoch: [26][4200/5005] Time 0.223 (0.229) Data 0.140 (0.084) Loss 2.4065 (2.5700) Prec@1 42.188 (42.558) Prec@5 71.875 (68.317)
Epoch: [26][4210/5005] Time 0.198 (0.229) Data 0.059 (0.084) Loss 2.3795 (2.5699) Prec@1 44.922 (42.559) Prec@5 69.922 (68.320)
Epoch: [26][4220/5005] Time 0.214 (0.229) Data 0.043 (0.084) Loss 2.6189 (2.5699) Prec@1 39.453 (42.561) Prec@5 69.141 (68.319)
Epoch: [26][4230/5005] Time 0.206 (0.229) Data 0.046 (0.084) Loss 2.5190 (2.5698) Prec@1 43.359 (42.565) Prec@5 68.750 (68.320)
Epoch: [26][4240/5005] Time 0.194 (0.229) Data 0.044 (0.084) Loss 2.4038 (2.5697) Prec@1 46.094 (42.566) Prec@5 69.531 (68.320)
Epoch: [26][4250/5005] Time 0.250 (0.229) Data 0.165 (0.084) Loss 2.4664 (2.5694) Prec@1 44.141 (42.570) Prec@5 69.531 (68.324)
Epoch: [26][4260/5005] Time 0.242 (0.229) Data 0.165 (0.084) Loss 2.5389 (2.5694) Prec@1 38.672 (42.567) Prec@5 66.016 (68.326)
Epoch: [26][4270/5005] Time 0.196 (0.229) Data 0.050 (0.084) Loss 2.7753 (2.5695) Prec@1 37.109 (42.568) Prec@5 62.109 (68.324)
Epoch: [26][4280/5005] Time 0.197 (0.229) Data 0.058 (0.084) Loss 2.6119 (2.5693) Prec@1 38.672 (42.569) Prec@5 69.531 (68.326)
Epoch: [26][4290/5005] Time 0.219 (0.229) Data 0.047 (0.084) Loss 2.6017 (2.5692) Prec@1 42.578 (42.568) Prec@5 69.141 (68.331)
Epoch: [26][4300/5005] Time 0.202 (0.229) Data 0.045 (0.084) Loss 2.3099 (2.5690) Prec@1 44.141 (42.570) Prec@5 75.781 (68.335)
Epoch: [26][4310/5005] Time 0.200 (0.229) Data 0.075 (0.084) Loss 2.3506 (2.5688) Prec@1 47.656 (42.577) Prec@5 72.656 (68.339)
Epoch: [26][4320/5005] Time 0.201 (0.229) Data 0.047 (0.084) Loss 2.4863 (2.5686) Prec@1 47.266 (42.580) Prec@5 67.578 (68.342)
Epoch: [26][4330/5005] Time 0.201 (0.229) Data 0.083 (0.084) Loss 2.4642 (2.5684) Prec@1 45.312 (42.586) Prec@5 68.359 (68.344)
Epoch: [26][4340/5005] Time 0.195 (0.229) Data 0.058 (0.084) Loss 2.6246 (2.5684) Prec@1 38.672 (42.583) Prec@5 64.844 (68.345)
Epoch: [26][4350/5005] Time 0.197 (0.229) Data 0.049 (0.085) Loss 2.5123 (2.5682) Prec@1 45.312 (42.586) Prec@5 71.484 (68.349)
Epoch: [26][4360/5005] Time 0.208 (0.229) Data 0.040 (0.084) Loss 2.3415 (2.5680) Prec@1 45.703 (42.592) Prec@5 73.828 (68.352)
Epoch: [26][4370/5005] Time 0.209 (0.229) Data 0.045 (0.085) Loss 2.4252 (2.5679) Prec@1 42.578 (42.592) Prec@5 69.531 (68.353)
Epoch: [26][4380/5005] Time 0.202 (0.229) Data 0.044 (0.085) Loss 2.5139 (2.5678) Prec@1 40.625 (42.594) Prec@5 68.750 (68.354)
Epoch: [26][4390/5005] Time 0.199 (0.229) Data 0.045 (0.085) Loss 2.7173 (2.5676) Prec@1 44.922 (42.601) Prec@5 64.844 (68.358)
Epoch: [26][4400/5005] Time 0.195 (0.229) Data 0.096 (0.085) Loss 2.4828 (2.5675) Prec@1 42.188 (42.604) Prec@5 66.016 (68.358)
Epoch: [26][4410/5005] Time 0.204 (0.229) Data 0.059 (0.085) Loss 2.4930 (2.5673) Prec@1 41.406 (42.605) Prec@5 69.922 (68.360)
Epoch: [26][4420/5005] Time 0.196 (0.229) Data 0.045 (0.085) Loss 2.1680 (2.5671) Prec@1 50.781 (42.609) Prec@5 74.219 (68.365)
Epoch: [26][4430/5005] Time 0.210 (0.229) Data 0.052 (0.085) Loss 2.5893 (2.5667) Prec@1 39.844 (42.615) Prec@5 67.188 (68.370)
Epoch: [26][4440/5005] Time 0.206 (0.229) Data 0.045 (0.085) Loss 2.5016 (2.5666) Prec@1 44.531 (42.619) Prec@5 70.312 (68.373)
Epoch: [26][4450/5005] Time 0.200 (0.229) Data 0.106 (0.085) Loss 2.3350 (2.5665) Prec@1 48.828 (42.623) Prec@5 73.047 (68.374)
Epoch: [26][4460/5005] Time 0.205 (0.229) Data 0.049 (0.085) Loss 2.6205 (2.5662) Prec@1 43.359 (42.628) Prec@5 68.359 (68.377)
Epoch: [26][4470/5005] Time 0.191 (0.229) Data 0.049 (0.085) Loss 2.6156 (2.5662) Prec@1 42.969 (42.631) Prec@5 68.359 (68.376)
Epoch: [26][4480/5005] Time 0.209 (0.229) Data 0.051 (0.085) Loss 2.2335 (2.5661) Prec@1 50.391 (42.633) Prec@5 70.312 (68.375)
Epoch: [26][4490/5005] Time 0.199 (0.229) Data 0.049 (0.085) Loss 2.6372 (2.5661) Prec@1 42.188 (42.631) Prec@5 67.188 (68.375)
Epoch: [26][4500/5005] Time 0.190 (0.229) Data 0.057 (0.085) Loss 2.5192 (2.5660) Prec@1 40.625 (42.635) Prec@5 71.094 (68.377)
Epoch: [26][4510/5005] Time 0.200 (0.229) Data 0.049 (0.085) Loss 2.3443 (2.5660) Prec@1 45.312 (42.636) Prec@5 71.094 (68.378)
Epoch: [26][4520/5005] Time 0.198 (0.229) Data 0.054 (0.085) Loss 2.4982 (2.5657) Prec@1 46.094 (42.642) Prec@5 71.094 (68.383)
Epoch: [26][4530/5005] Time 0.198 (0.229) Data 0.047 (0.085) Loss 2.3728 (2.5656) Prec@1 47.266 (42.645) Prec@5 71.875 (68.385)
Epoch: [26][4540/5005] Time 0.200 (0.229) Data 0.047 (0.085) Loss 2.7148 (2.5657) Prec@1 38.281 (42.645) Prec@5 67.969 (68.386)
Epoch: [26][4550/5005] Time 0.203 (0.229) Data 0.050 (0.085) Loss 2.5679 (2.5656) Prec@1 41.797 (42.647) Prec@5 66.016 (68.387)
Epoch: [26][4560/5005] Time 0.189 (0.229) Data 0.053 (0.085) Loss 2.5359 (2.5655) Prec@1 44.531 (42.652) Prec@5 67.578 (68.388)
Epoch: [26][4570/5005] Time 0.196 (0.229) Data 0.046 (0.085) Loss 2.6256 (2.5652) Prec@1 45.312 (42.656) Prec@5 67.578 (68.392)
Epoch: [26][4580/5005] Time 0.337 (0.229) Data 0.248 (0.085) Loss 2.5519 (2.5650) Prec@1 40.234 (42.660) Prec@5 67.969 (68.393)
Epoch: [26][4590/5005] Time 0.187 (0.229) Data 0.066 (0.085) Loss 2.2560 (2.5650) Prec@1 47.266 (42.662) Prec@5 74.219 (68.395)
Epoch: [26][4600/5005] Time 0.204 (0.229) Data 0.044 (0.085) Loss 2.3924 (2.5648) Prec@1 45.312 (42.666) Prec@5 71.094 (68.396)
Epoch: [26][4610/5005] Time 0.199 (0.230) Data 0.054 (0.086) Loss 2.3388 (2.5647) Prec@1 46.094 (42.669) Prec@5 71.484 (68.398)
Epoch: [26][4620/5005] Time 0.198 (0.229) Data 0.048 (0.086) Loss 2.4153 (2.5646) Prec@1 47.656 (42.675) Prec@5 70.312 (68.399)
Epoch: [26][4630/5005] Time 0.334 (0.230) Data 0.248 (0.086) Loss 2.2834 (2.5643) Prec@1 49.609 (42.680) Prec@5 75.000 (68.404)
Epoch: [26][4640/5005] Time 0.193 (0.230) Data 0.081 (0.086) Loss 2.5581 (2.5641) Prec@1 41.406 (42.683) Prec@5 67.578 (68.404)
Epoch: [26][4650/5005] Time 0.198 (0.230) Data 0.044 (0.086) Loss 2.4972 (2.5639) Prec@1 45.703 (42.688) Prec@5 70.703 (68.410)
Epoch: [26][4660/5005] Time 0.197 (0.230) Data 0.044 (0.086) Loss 2.8833 (2.5638) Prec@1 37.500 (42.690) Prec@5 61.719 (68.411)
Epoch: [26][4670/5005] Time 0.418 (0.230) Data 0.327 (0.086) Loss 2.3035 (2.5635) Prec@1 46.484 (42.693) Prec@5 73.828 (68.416)
Epoch: [26][4680/5005] Time 0.196 (0.230) Data 0.047 (0.086) Loss 2.5202 (2.5635) Prec@1 41.797 (42.694) Prec@5 71.875 (68.415)
Epoch: [26][4690/5005] Time 0.198 (0.230) Data 0.049 (0.086) Loss 2.4388 (2.5633) Prec@1 42.188 (42.695) Prec@5 70.312 (68.418)
Epoch: [26][4700/5005] Time 0.475 (0.230) Data 0.385 (0.086) Loss 2.3012 (2.5632) Prec@1 48.047 (42.699) Prec@5 71.484 (68.419)
Epoch: [26][4710/5005] Time 0.190 (0.230) Data 0.053 (0.086) Loss 2.3301 (2.5629) Prec@1 48.047 (42.704) Prec@5 70.703 (68.425)
Epoch: [26][4720/5005] Time 0.403 (0.230) Data 0.312 (0.086) Loss 2.2906 (2.5627) Prec@1 50.781 (42.707) Prec@5 71.875 (68.428)
Epoch: [26][4730/5005] Time 0.196 (0.230) Data 0.065 (0.086) Loss 2.5009 (2.5626) Prec@1 40.234 (42.706) Prec@5 69.141 (68.428)
Epoch: [26][4740/5005] Time 0.197 (0.230) Data 0.043 (0.086) Loss 2.4433 (2.5624) Prec@1 42.578 (42.712) Prec@5 69.531 (68.433)
Epoch: [26][4750/5005] Time 0.195 (0.230) Data 0.043 (0.086) Loss 2.4575 (2.5622) Prec@1 46.484 (42.717) Prec@5 69.141 (68.437)
Epoch: [26][4760/5005] Time 0.194 (0.230) Data 0.054 (0.086) Loss 2.6924 (2.5619) Prec@1 38.672 (42.722) Prec@5 66.016 (68.440)
Epoch: [26][4770/5005] Time 0.200 (0.230) Data 0.048 (0.087) Loss 2.3727 (2.5617) Prec@1 47.266 (42.723) Prec@5 73.438 (68.444)
Epoch: [26][4780/5005] Time 0.192 (0.230) Data 0.052 (0.087) Loss 2.6067 (2.5616) Prec@1 42.188 (42.728) Prec@5 67.969 (68.446)
Epoch: [26][4790/5005] Time 0.201 (0.230) Data 0.054 (0.087) Loss 2.7062 (2.5616) Prec@1 44.531 (42.732) Prec@5 66.406 (68.450)
Epoch: [26][4800/5005] Time 0.798 (0.230) Data 0.706 (0.087) Loss 2.5846 (2.5614) Prec@1 41.797 (42.731) Prec@5 70.703 (68.454)
Epoch: [26][4810/5005] Time 0.200 (0.230) Data 0.068 (0.087) Loss 2.6730 (2.5612) Prec@1 39.844 (42.731) Prec@5 68.359 (68.457)
Epoch: [26][4820/5005] Time 0.208 (0.230) Data 0.042 (0.087) Loss 2.6058 (2.5610) Prec@1 42.969 (42.736) Prec@5 66.016 (68.461)
Epoch: [26][4830/5005] Time 0.197 (0.230) Data 0.048 (0.087) Loss 2.5660 (2.5608) Prec@1 43.750 (42.740) Prec@5 67.969 (68.467)
Epoch: [26][4840/5005] Time 0.199 (0.230) Data 0.047 (0.087) Loss 2.3647 (2.5607) Prec@1 46.094 (42.740) Prec@5 68.359 (68.468)
Epoch: [26][4850/5005] Time 0.195 (0.230) Data 0.048 (0.087) Loss 2.4872 (2.5607) Prec@1 44.531 (42.742) Prec@5 69.531 (68.468)
Epoch: [26][4860/5005] Time 0.200 (0.230) Data 0.063 (0.087) Loss 2.4741 (2.5603) Prec@1 45.703 (42.749) Prec@5 69.922 (68.473)
Epoch: [26][4870/5005] Time 0.195 (0.230) Data 0.047 (0.087) Loss 2.3781 (2.5602) Prec@1 48.438 (42.753) Prec@5 70.312 (68.476)
Epoch: [26][4880/5005] Time 0.197 (0.231) Data 0.050 (0.087) Loss 2.4103 (2.5600) Prec@1 43.750 (42.757) Prec@5 71.094 (68.480)
Epoch: [26][4890/5005] Time 0.194 (0.231) Data 0.053 (0.087) Loss 2.5266 (2.5597) Prec@1 42.969 (42.761) Prec@5 69.531 (68.485)
Epoch: [26][4900/5005] Time 0.196 (0.231) Data 0.049 (0.087) Loss 2.2809 (2.5595) Prec@1 46.875 (42.765) Prec@5 71.484 (68.487)
Epoch: [26][4910/5005] Time 0.204 (0.231) Data 0.040 (0.087) Loss 2.4461 (2.5592) Prec@1 50.781 (42.769) Prec@5 73.047 (68.493)
Epoch: [26][4920/5005] Time 0.210 (0.231) Data 0.055 (0.087) Loss 2.4465 (2.5591) Prec@1 42.578 (42.769) Prec@5 71.484 (68.496)
Epoch: [26][4930/5005] Time 0.195 (0.231) Data 0.048 (0.087) Loss 2.6231 (2.5589) Prec@1 42.188 (42.773) Prec@5 69.922 (68.499)
Epoch: [26][4940/5005] Time 0.356 (0.231) Data 0.271 (0.087) Loss 2.5117 (2.5588) Prec@1 42.969 (42.777) Prec@5 67.188 (68.501)
Epoch: [26][4950/5005] Time 1.054 (0.231) Data 0.978 (0.088) Loss 2.2230 (2.5587) Prec@1 45.703 (42.776) Prec@5 75.391 (68.503)
Epoch: [26][4960/5005] Time 0.192 (0.231) Data 0.050 (0.088) Loss 2.6552 (2.5585) Prec@1 40.234 (42.779) Prec@5 69.922 (68.508)
Epoch: [26][4970/5005] Time 0.207 (0.231) Data 0.044 (0.088) Loss 2.5032 (2.5583) Prec@1 41.016 (42.782) Prec@5 69.531 (68.510)
Epoch: [26][4980/5005] Time 0.203 (0.231) Data 0.046 (0.087) Loss 2.5905 (2.5581) Prec@1 45.703 (42.785) Prec@5 69.141 (68.514)
Epoch: [26][4990/5005] Time 0.518 (0.231) Data 0.431 (0.088) Loss 2.6044 (2.5579) Prec@1 41.016 (42.788) Prec@5 65.625 (68.517)
Epoch: [26][5000/5005] Time 0.204 (0.231) Data 0.025 (0.088) Loss 2.5842 (2.5578) Prec@1 40.234 (42.790) Prec@5 72.656 (68.520)
Test: [0/196] Time 2.378 (2.378) Loss 2.5287 (2.5287) Prec@1 45.703 (45.703) Prec@5 71.484 (71.484)
Test: [10/196] Time 0.045 (0.401) Loss 2.5841 (2.6666) Prec@1 47.656 (42.010) Prec@5 69.141 (68.288)
Test: [20/196] Time 0.043 (0.325) Loss 2.5529 (2.6706) Prec@1 41.016 (41.295) Prec@5 70.312 (67.746)
Test: [30/196] Time 0.109 (0.283) Loss 2.5170 (2.6755) Prec@1 41.016 (41.028) Prec@5 67.188 (67.477)
Test: [40/196] Time 1.139 (0.295) Loss 2.4329 (2.6793) Prec@1 48.828 (41.235) Prec@5 72.266 (67.321)
Test: [50/196] Time 0.043 (0.281) Loss 2.7257 (2.6793) Prec@1 41.406 (41.422) Prec@5 68.359 (67.341)
Test: [60/196] Time 0.043 (0.269) Loss 2.6036 (2.6659) Prec@1 45.703 (41.784) Prec@5 70.312 (67.476)
Test: [70/196] Time 0.323 (0.267) Loss 2.6772 (2.6600) Prec@1 40.625 (41.775) Prec@5 65.234 (67.529)
Test: [80/196] Time 0.538 (0.264) Loss 2.4591 (2.6630) Prec@1 47.656 (41.768) Prec@5 74.609 (67.506)
Test: [90/196] Time 0.043 (0.258) Loss 2.6783 (2.6645) Prec@1 42.969 (41.750) Prec@5 66.016 (67.376)
Test: [100/196] Time 0.297 (0.260) Loss 2.6853 (2.6642) Prec@1 42.578 (41.870) Prec@5 67.578 (67.392)
Test: [110/196] Time 0.047 (0.258) Loss 2.8836 (2.6649) Prec@1 37.891 (41.931) Prec@5 61.328 (67.455)
Test: [120/196] Time 0.381 (0.261) Loss 2.3937 (2.6621) Prec@1 48.047 (42.007) Prec@5 74.219 (67.520)
Test: [130/196] Time 0.267 (0.256) Loss 2.3155 (2.6594) Prec@1 45.703 (42.021) Prec@5 73.047 (67.548)
Test: [140/196] Time 0.440 (0.255) Loss 2.4614 (2.6612) Prec@1 44.531 (41.982) Prec@5 70.703 (67.523)
Test: [150/196] Time 0.043 (0.254) Loss 2.2953 (2.6579) Prec@1 44.141 (42.050) Prec@5 75.000 (67.620)
Test: [160/196] Time 0.325 (0.255) Loss 2.6192 (2.6565) Prec@1 46.094 (42.112) Prec@5 66.797 (67.610)
Test: [170/196] Time 0.171 (0.252) Loss 2.5127 (2.6587) Prec@1 43.359 (42.050) Prec@5 70.703 (67.594)
Test: [180/196] Time 0.530 (0.252) Loss 2.8101 (2.6634) Prec@1 41.797 (41.920) Prec@5 64.062 (67.513)
Test: [190/196] Time 0.472 (0.252) Loss 2.9301 (2.6678) Prec@1 35.547 (41.891) Prec@5 61.328 (67.365)
* Prec@1 41.890 Prec@5 67.376
Learning rate: 0.0001
Epoch: [27][0/5005] Time 2.565 (2.565) Data 2.469 (2.469) Loss 2.5333 (2.5333) Prec@1 42.188 (42.188) Prec@5 70.312 (70.312)
Epoch: [27][10/5005] Time 0.187 (0.415) Data 0.044 (0.270) Loss 2.3373 (2.5743) Prec@1 48.047 (41.797) Prec@5 74.609 (68.288)
Epoch: [27][20/5005] Time 0.202 (0.313) Data 0.053 (0.163) Loss 2.8552 (2.5963) Prec@1 35.547 (41.053) Prec@5 65.625 (68.415)
Epoch: [27][30/5005] Time 0.204 (0.276) Data 0.046 (0.126) Loss 2.4904 (2.5670) Prec@1 44.922 (41.797) Prec@5 69.922 (68.674)
Epoch: [27][40/5005] Time 0.198 (0.258) Data 0.039 (0.106) Loss 2.5520 (2.5750) Prec@1 41.016 (41.892) Prec@5 69.141 (68.607)
Epoch: [27][50/5005] Time 0.199 (0.247) Data 0.047 (0.095) Loss 2.5015 (2.5749) Prec@1 42.188 (41.713) Prec@5 70.312 (68.543)
Epoch: [27][60/5005] Time 0.224 (0.239) Data 0.044 (0.087) Loss 2.5902 (2.5733) Prec@1 40.234 (41.842) Prec@5 71.484 (68.590)
Epoch: [27][70/5005] Time 0.203 (0.234) Data 0.043 (0.081) Loss 2.4870 (2.5848) Prec@1 41.016 (41.786) Prec@5 70.703 (68.348)
Epoch: [27][80/5005] Time 0.207 (0.230) Data 0.055 (0.077) Loss 2.4277 (2.5806) Prec@1 46.094 (41.845) Prec@5 69.531 (68.398)
Epoch: [27][90/5005] Time 0.201 (0.227) Data 0.048 (0.074) Loss 2.5984 (2.5780) Prec@1 45.312 (42.046) Prec@5 67.578 (68.394)
Epoch: [27][100/5005] Time 0.207 (0.224) Data 0.046 (0.071) Loss 2.3429 (2.5804) Prec@1 44.922 (41.963) Prec@5 72.266 (68.328)
Epoch: [27][110/5005] Time 0.201 (0.222) Data 0.045 (0.069) Loss 2.5502 (2.5783) Prec@1 45.703 (42.145) Prec@5 69.531 (68.370)
Epoch: [27][120/5005] Time 0.204 (0.221) Data 0.044 (0.069) Loss 2.4496 (2.5795) Prec@1 42.578 (42.162) Prec@5 70.312 (68.269)
Epoch: [27][130/5005] Time 0.202 (0.225) Data 0.043 (0.074) Loss 2.6747 (2.5815) Prec@1 42.578 (42.214) Prec@5 67.188 (68.210)
Epoch: [27][140/5005] Time 0.203 (0.225) Data 0.038 (0.075) Loss 2.6241 (2.5823) Prec@1 42.188 (42.171) Prec@5 67.578 (68.201)
Epoch: [27][150/5005] Time 0.208 (0.227) Data 0.054 (0.078) Loss 2.6560 (2.5848) Prec@1 39.453 (42.131) Prec@5 66.406 (68.160)
Epoch: [27][160/5005] Time 0.197 (0.227) Data 0.048 (0.079) Loss 2.6437 (2.5880) Prec@1 38.281 (42.071) Prec@5 65.625 (68.170)
Epoch: [27][170/5005] Time 0.201 (0.229) Data 0.043 (0.082) Loss 2.6551 (2.5877) Prec@1 42.188 (42.098) Prec@5 66.797 (68.133)
Epoch: [27][180/5005] Time 0.253 (0.228) Data 0.167 (0.081) Loss 2.7402 (2.5876) Prec@1 42.578 (42.149) Prec@5 62.500 (68.128)
Epoch: [27][190/5005] Time 0.207 (0.230) Data 0.046 (0.082) Loss 2.7179 (2.5926) Prec@1 39.062 (41.979) Prec@5 64.062 (68.036)
Epoch: [27][200/5005] Time 0.221 (0.230) Data 0.042 (0.082) Loss 2.8611 (2.5942) Prec@1 36.328 (41.947) Prec@5 62.891 (67.990)
Epoch: [27][210/5005] Time 0.210 (0.230) Data 0.080 (0.082) Loss 2.4270 (2.5927) Prec@1 46.094 (41.986) Prec@5 71.094 (68.011)
Epoch: [27][220/5005] Time 0.215 (0.231) Data 0.044 (0.083) Loss 2.4425 (2.5921) Prec@1 42.578 (41.990) Prec@5 71.484 (68.039)
Epoch: [27][230/5005] Time 0.206 (0.231) Data 0.093 (0.083) Loss 2.6781 (2.5920) Prec@1 42.969 (42.071) Prec@5 69.922 (68.072)
Epoch: [27][240/5005] Time 0.211 (0.232) Data 0.052 (0.084) Loss 2.6154 (2.5913) Prec@1 41.797 (42.076) Prec@5 64.453 (68.074)
Epoch: [27][250/5005] Time 0.395 (0.232) Data 0.302 (0.085) Loss 2.5919 (2.5911) Prec@1 41.406 (42.080) Prec@5 69.531 (68.076)
Epoch: [27][260/5005] Time 0.197 (0.232) Data 0.051 (0.085) Loss 2.5453 (2.5900) Prec@1 44.531 (42.129) Prec@5 68.750 (68.085)
Epoch: [27][270/5005] Time 0.257 (0.233) Data 0.177 (0.087) Loss 2.6518 (2.5901) Prec@1 41.797 (42.138) Prec@5 67.188 (68.077)
Epoch: [27][280/5005] Time 0.200 (0.234) Data 0.044 (0.089) Loss 2.8734 (2.5924) Prec@1 40.625 (42.092) Prec@5 64.062 (68.027)
Epoch: [27][290/5005] Time 0.203 (0.234) Data 0.048 (0.089) Loss 2.4453 (2.5923) Prec@1 45.312 (42.141) Prec@5 70.312 (67.992)
Epoch: [27][300/5005] Time 0.207 (0.235) Data 0.040 (0.090) Loss 2.3230 (2.5903) Prec@1 48.438 (42.217) Prec@5 70.703 (68.028)
Epoch: [27][310/5005] Time 0.207 (0.235) Data 0.045 (0.091) Loss 2.5152 (2.5881) Prec@1 43.359 (42.268) Prec@5 70.703 (68.069)
Epoch: [27][320/5005] Time 0.204 (0.236) Data 0.046 (0.092) Loss 2.8903 (2.5896) Prec@1 37.500 (42.252) Prec@5 63.672 (68.059)
Epoch: [27][330/5005] Time 0.206 (0.236) Data 0.041 (0.092) Loss 2.1909 (2.5874) Prec@1 48.047 (42.296) Prec@5 75.781 (68.081)
Epoch: [27][340/5005] Time 0.201 (0.236) Data 0.053 (0.092) Loss 2.6784 (2.5903) Prec@1 42.578 (42.295) Prec@5 67.578 (68.055)
Epoch: [27][350/5005] Time 0.357 (0.237) Data 0.267 (0.093) Loss 2.7630 (2.5895) Prec@1 41.016 (42.298) Prec@5 65.625 (68.066)
Epoch: [27][360/5005] Time 0.222 (0.236) Data 0.043 (0.092) Loss 2.5430 (2.5900) Prec@1 43.359 (42.275) Prec@5 67.188 (68.039)
Epoch: [27][370/5005] Time 0.211 (0.235) Data 0.043 (0.091) Loss 2.6851 (2.5874) Prec@1 38.672 (42.312) Prec@5 67.188 (68.091)
Epoch: [27][380/5005] Time 0.218 (0.235) Data 0.041 (0.089) Loss 2.7526 (2.5877) Prec@1 40.234 (42.297) Prec@5 64.062 (68.068)
Epoch: [27][390/5005] Time 0.216 (0.234) Data 0.041 (0.088) Loss 2.6135 (2.5874) Prec@1 44.531 (42.305) Prec@5 71.094 (68.081)
Epoch: [27][400/5005] Time 0.221 (0.234) Data 0.046 (0.087) Loss 2.3886 (2.5853) Prec@1 43.359 (42.358) Prec@5 72.266 (68.112)
Epoch: [27][410/5005] Time 0.218 (0.233) Data 0.052 (0.086) Loss 2.4811 (2.5854) Prec@1 44.531 (42.372) Prec@5 69.531 (68.115)
Epoch: [27][420/5005] Time 0.213 (0.233) Data 0.042 (0.085) Loss 2.5688 (2.5848) Prec@1 42.578 (42.378) Prec@5 67.188 (68.146)
Epoch: [27][430/5005] Time 0.217 (0.232) Data 0.054 (0.085) Loss 2.5885 (2.5853) Prec@1 44.531 (42.370) Prec@5 69.531 (68.152)
Epoch: [27][440/5005] Time 0.210 (0.232) Data 0.045 (0.084) Loss 2.4276 (2.5845) Prec@1 46.484 (42.375) Prec@5 71.094 (68.166)
Epoch: [27][450/5005] Time 0.201 (0.231) Data 0.059 (0.083) Loss 2.3311 (2.5849) Prec@1 44.141 (42.349) Prec@5 75.781 (68.158)
Epoch: [27][460/5005] Time 0.207 (0.231) Data 0.055 (0.082) Loss 2.6099 (2.5862) Prec@1 40.234 (42.303) Prec@5 63.672 (68.142)
Epoch: [27][470/5005] Time 0.221 (0.231) Data 0.042 (0.082) Loss 2.5202 (2.5870) Prec@1 40.234 (42.305) Prec@5 67.969 (68.121)
Epoch: [27][480/5005] Time 0.215 (0.230) Data 0.063 (0.081) Loss 2.5862 (2.5870) Prec@1 41.797 (42.316) Prec@5 68.750 (68.122)
Epoch: [27][490/5005] Time 0.221 (0.230) Data 0.043 (0.080) Loss 2.5280 (2.5870) Prec@1 48.828 (42.324) Prec@5 67.969 (68.133)
Epoch: [27][500/5005] Time 0.212 (0.230) Data 0.043 (0.080) Loss 2.7826 (2.5894) Prec@1 41.406 (42.325) Prec@5 63.281 (68.086)
Epoch: [27][510/5005] Time 0.211 (0.229) Data 0.041 (0.079) Loss 2.7910 (2.5897) Prec@1 38.281 (42.324) Prec@5 59.766 (68.063)
Epoch: [27][520/5005] Time 0.214 (0.229) Data 0.047 (0.078) Loss 2.6457 (2.5891) Prec@1 38.672 (42.292) Prec@5 67.578 (68.062)
Epoch: [27][530/5005] Time 0.219 (0.229) Data 0.050 (0.078) Loss 2.5333 (2.5887) Prec@1 42.969 (42.288) Prec@5 66.797 (68.070)
Epoch: [27][540/5005] Time 0.217 (0.229) Data 0.043 (0.077) Loss 2.7898 (2.5895) Prec@1 41.016 (42.279) Prec@5 64.453 (68.066)
Epoch: [27][550/5005] Time 0.208 (0.228) Data 0.045 (0.077) Loss 2.5661 (2.5887) Prec@1 39.453 (42.282) Prec@5 71.484 (68.088)
Epoch: [27][560/5005] Time 0.212 (0.228) Data 0.059 (0.076) Loss 2.5887 (2.5877) Prec@1 42.188 (42.306) Prec@5 67.969 (68.114)
Epoch: [27][570/5005] Time 0.217 (0.228) Data 0.050 (0.076) Loss 2.7094 (2.5885) Prec@1 40.625 (42.298) Prec@5 64.453 (68.111)
Epoch: [27][580/5005] Time 0.214 (0.228) Data 0.049 (0.075) Loss 2.6368 (2.5884) Prec@1 40.625 (42.301) Prec@5 68.359 (68.101)
Epoch: [27][590/5005] Time 0.204 (0.227) Data 0.056 (0.075) Loss 2.7752 (2.5885) Prec@1 39.062 (42.306) Prec@5 62.500 (68.082)
Epoch: [27][600/5005] Time 0.212 (0.227) Data 0.047 (0.074) Loss 2.5359 (2.5889) Prec@1 43.359 (42.301) Prec@5 71.484 (68.094)
Epoch: [27][610/5005] Time 0.209 (0.227) Data 0.053 (0.074) Loss 2.5322 (2.5885) Prec@1 44.531 (42.293) Prec@5 69.531 (68.092)
Epoch: [27][620/5005] Time 0.215 (0.227) Data 0.044 (0.074) Loss 2.5675 (2.5884) Prec@1 45.312 (42.303) Prec@5 67.969 (68.094)
Epoch: [27][630/5005] Time 0.213 (0.226) Data 0.049 (0.073) Loss 2.8468 (2.5886) Prec@1 39.453 (42.309) Prec@5 63.281 (68.094)
Epoch: [27][640/5005] Time 0.220 (0.226) Data 0.047 (0.073) Loss 2.5546 (2.5884) Prec@1 42.188 (42.301) Prec@5 69.922 (68.097)
Epoch: [27][650/5005] Time 0.219 (0.226) Data 0.044 (0.073) Loss 2.6258 (2.5887) Prec@1 39.453 (42.290) Prec@5 66.016 (68.092)
Epoch: [27][660/5005] Time 0.210 (0.226) Data 0.043 (0.072) Loss 2.7464 (2.5878) Prec@1 37.109 (42.325) Prec@5 67.578 (68.105)
Epoch: [27][670/5005] Time 0.214 (0.226) Data 0.044 (0.072) Loss 2.8854 (2.5878) Prec@1 37.891 (42.336) Prec@5 63.672 (68.095)
Epoch: [27][680/5005] Time 0.218 (0.226) Data 0.044 (0.071) Loss 2.5396 (2.5876) Prec@1 42.969 (42.345) Prec@5 71.875 (68.089)
Epoch: [27][690/5005] Time 0.218 (0.225) Data 0.044 (0.071) Loss 2.4867 (2.5873) Prec@1 44.141 (42.340) Prec@5 71.094 (68.094)
Epoch: [27][700/5005] Time 0.216 (0.225) Data 0.044 (0.071) Loss 2.6328 (2.5869) Prec@1 39.844 (42.331) Prec@5 69.531 (68.105)
Epoch: [27][710/5005] Time 0.218 (0.225) Data 0.043 (0.070) Loss 2.3665 (2.5866) Prec@1 44.141 (42.333) Prec@5 70.312 (68.104)
Epoch: [27][720/5005] Time 0.211 (0.225) Data 0.040 (0.070) Loss 2.3279 (2.5855) Prec@1 44.531 (42.357) Prec@5 70.703 (68.111)
Epoch: [27][730/5005] Time 0.209 (0.225) Data 0.045 (0.069) Loss 2.6615 (2.5852) Prec@1 45.703 (42.381) Prec@5 69.531 (68.109)
Epoch: [27][740/5005] Time 0.218 (0.225) Data 0.047 (0.069) Loss 2.7316 (2.5849) Prec@1 40.234 (42.394) Prec@5 63.672 (68.116)
Epoch: [27][750/5005] Time 0.204 (0.225) Data 0.046 (0.069) Loss 2.3388 (2.5846) Prec@1 46.094 (42.401) Prec@5 71.875 (68.130)
Epoch: [27][760/5005] Time 0.215 (0.224) Data 0.043 (0.068) Loss 2.6106 (2.5848) Prec@1 41.797 (42.394) Prec@5 69.141 (68.124)
Epoch: [27][770/5005] Time 0.203 (0.224) Data 0.043 (0.068) Loss 2.6185 (2.5834) Prec@1 38.281 (42.413) Prec@5 67.188 (68.149)
Epoch: [27][780/5005] Time 0.218 (0.224) Data 0.042 (0.068) Loss 2.5240 (2.5834) Prec@1 43.750 (42.413) Prec@5 67.578 (68.145)
Epoch: [27][790/5005] Time 0.210 (0.224) Data 0.046 (0.068) Loss 2.5649 (2.5834) Prec@1 43.750 (42.418) Prec@5 69.141 (68.142)
Epoch: [27][800/5005] Time 0.224 (0.224) Data 0.044 (0.067) Loss 2.4764 (2.5828) Prec@1 44.141 (42.438) Prec@5 68.359 (68.150)
Epoch: [27][810/5005] Time 0.203 (0.225) Data 0.042 (0.067) Loss 2.6917 (2.5833) Prec@1 41.406 (42.432) Prec@5 65.625 (68.147)
Epoch: [27][820/5005] Time 0.209 (0.225) Data 0.046 (0.067) Loss 2.7740 (2.5836) Prec@1 41.016 (42.428) Prec@5 65.234 (68.141)
Epoch: [27][830/5005] Time 0.205 (0.225) Data 0.052 (0.067) Loss 2.5143 (2.5838) Prec@1 41.016 (42.421) Prec@5 68.359 (68.130)
Epoch: [27][840/5005] Time 0.204 (0.225) Data 0.041 (0.066) Loss 2.4190 (2.5837) Prec@1 45.703 (42.420) Prec@5 70.312 (68.139)
Epoch: [27][850/5005] Time 0.200 (0.224) Data 0.040 (0.066) Loss 2.7017 (2.5830) Prec@1 39.844 (42.416) Prec@5 69.141 (68.161)
Epoch: [27][860/5005] Time 0.218 (0.224) Data 0.047 (0.066) Loss 2.4751 (2.5833) Prec@1 45.703 (42.424) Prec@5 68.750 (68.152)
Epoch: [27][870/5005] Time 0.207 (0.224) Data 0.043 (0.066) Loss 2.4103 (2.5816) Prec@1 44.141 (42.456) Prec@5 69.531 (68.171)
Epoch: [27][880/5005] Time 0.217 (0.224) Data 0.049 (0.066) Loss 2.5050 (2.5818) Prec@1 45.312 (42.461) Prec@5 67.969 (68.167)
Epoch: [27][890/5005] Time 0.206 (0.224) Data 0.049 (0.066) Loss 2.7645 (2.5812) Prec@1 42.188 (42.476) Prec@5 65.234 (68.181)
Epoch: [27][900/5005] Time 0.215 (0.225) Data 0.048 (0.066) Loss 2.5714 (2.5808) Prec@1 40.234 (42.465) Prec@5 69.531 (68.188)
Epoch: [27][910/5005] Time 0.656 (0.225) Data 0.573 (0.067) Loss 2.5924 (2.5808) Prec@1 42.969 (42.461) Prec@5 71.875 (68.189)
Epoch: [27][920/5005] Time 0.210 (0.225) Data 0.064 (0.067) Loss 2.5130 (2.5801) Prec@1 46.484 (42.481) Prec@5 71.484 (68.203)
Epoch: [27][930/5005] Time 0.200 (0.226) Data 0.043 (0.068) Loss 2.5172 (2.5794) Prec@1 42.969 (42.495) Prec@5 65.625 (68.205)
Epoch: [27][940/5005] Time 0.205 (0.226) Data 0.043 (0.068) Loss 2.3629 (2.5792) Prec@1 42.578 (42.500) Prec@5 73.828 (68.205)
Epoch: [27][950/5005] Time 0.200 (0.226) Data 0.040 (0.068) Loss 2.7943 (2.5801) Prec@1 37.891 (42.487) Prec@5 66.406 (68.191)
Epoch: [27][960/5005] Time 0.199 (0.226) Data 0.052 (0.068) Loss 2.8200 (2.5802) Prec@1 42.969 (42.492) Prec@5 63.672 (68.178)
Epoch: [27][970/5005] Time 0.216 (0.226) Data 0.046 (0.068) Loss 2.4740 (2.5797) Prec@1 44.141 (42.493) Prec@5 67.578 (68.183)
Epoch: [27][980/5005] Time 0.224 (0.226) Data 0.140 (0.069) Loss 2.5094 (2.5788) Prec@1 44.922 (42.507) Prec@5 69.141 (68.194)
Epoch: [27][990/5005] Time 0.212 (0.226) Data 0.046 (0.069) Loss 2.6502 (2.5789) Prec@1 40.234 (42.506) Prec@5 67.578 (68.199)
Epoch: [27][1000/5005] Time 0.206 (0.226) Data 0.050 (0.068) Loss 2.5513 (2.5789) Prec@1 44.141 (42.502) Prec@5 69.922 (68.204)
Epoch: [27][1010/5005] Time 0.209 (0.226) Data 0.046 (0.068) Loss 2.6778 (2.5786) Prec@1 41.016 (42.509) Prec@5 69.141 (68.216)
Epoch: [27][1020/5005] Time 0.221 (0.226) Data 0.044 (0.068) Loss 2.4950 (2.5790) Prec@1 44.531 (42.499) Prec@5 72.656 (68.208)
Epoch: [27][1030/5005] Time 0.203 (0.225) Data 0.046 (0.068) Loss 2.5417 (2.5786) Prec@1 42.578 (42.499) Prec@5 71.484 (68.218)
Epoch: [27][1040/5005] Time 0.211 (0.225) Data 0.041 (0.068) Loss 2.7043 (2.5787) Prec@1 39.453 (42.499) Prec@5 64.844 (68.221)
Epoch: [27][1050/5005] Time 0.214 (0.225) Data 0.048 (0.067) Loss 2.6638 (2.5788) Prec@1 41.797 (42.493) Prec@5 68.750 (68.222)
Epoch: [27][1060/5005] Time 0.209 (0.225) Data 0.047 (0.067) Loss 2.6086 (2.5791) Prec@1 40.234 (42.492) Prec@5 68.359 (68.222)
Epoch: [27][1070/5005] Time 0.215 (0.225) Data 0.052 (0.067) Loss 2.5602 (2.5790) Prec@1 42.188 (42.494) Prec@5 68.359 (68.222)
Epoch: [27][1080/5005] Time 0.207 (0.225) Data 0.043 (0.067) Loss 2.4642 (2.5790) Prec@1 45.703 (42.496) Prec@5 71.875 (68.231)
Epoch: [27][1090/5005] Time 0.205 (0.225) Data 0.044 (0.067) Loss 2.5447 (2.5787) Prec@1 40.234 (42.498) Prec@5 67.578 (68.232)
Epoch: [27][1100/5005] Time 0.221 (0.224) Data 0.043 (0.067) Loss 2.4949 (2.5783) Prec@1 42.578 (42.503) Prec@5 68.359 (68.230)
Epoch: [27][1110/5005] Time 0.213 (0.224) Data 0.041 (0.066) Loss 2.5651 (2.5780) Prec@1 38.672 (42.508) Prec@5 69.141 (68.241)
Epoch: [27][1120/5005] Time 0.213 (0.224) Data 0.041 (0.066) Loss 2.5805 (2.5770) Prec@1 39.453 (42.521) Prec@5 68.750 (68.254)
Epoch: [27][1130/5005] Time 0.198 (0.224) Data 0.085 (0.066) Loss 2.5562 (2.5772) Prec@1 43.750 (42.519) Prec@5 66.797 (68.242)
Epoch: [27][1140/5005] Time 0.207 (0.224) Data 0.043 (0.066) Loss 2.6795 (2.5772) Prec@1 44.141 (42.523) Prec@5 67.188 (68.237)
Epoch: [27][1150/5005] Time 0.203 (0.224) Data 0.045 (0.066) Loss 2.4984 (2.5765) Prec@1 41.406 (42.540) Prec@5 67.578 (68.254)
Epoch: [27][1160/5005] Time 0.206 (0.224) Data 0.059 (0.066) Loss 2.5299 (2.5763) Prec@1 43.750 (42.544) Prec@5 70.312 (68.252)
Epoch: [27][1170/5005] Time 0.200 (0.224) Data 0.043 (0.066) Loss 2.4786 (2.5760) Prec@1 46.094 (42.535) Prec@5 68.750 (68.262)
Epoch: [27][1180/5005] Time 0.199 (0.224) Data 0.069 (0.066) Loss 2.6060 (2.5758) Prec@1 42.578 (42.532) Prec@5 65.234 (68.254)
Epoch: [27][1190/5005] Time 0.205 (0.224) Data 0.041 (0.066) Loss 2.4407 (2.5754) Prec@1 42.969 (42.536) Prec@5 69.531 (68.256)
Epoch: [27][1200/5005] Time 0.204 (0.224) Data 0.048 (0.066) Loss 2.7734 (2.5752) Prec@1 40.625 (42.543) Prec@5 66.406 (68.263)
Epoch: [27][1210/5005] Time 0.204 (0.224) Data 0.062 (0.066) Loss 2.6621 (2.5755) Prec@1 40.625 (42.537) Prec@5 69.922 (68.258)
Epoch: [27][1220/5005] Time 0.205 (0.224) Data 0.048 (0.066) Loss 2.4833 (2.5757) Prec@1 43.750 (42.537) Prec@5 69.141 (68.251)
Epoch: [27][1230/5005] Time 0.200 (0.224) Data 0.081 (0.067) Loss 2.5143 (2.5755) Prec@1 41.406 (42.542) Prec@5 68.359 (68.255)
Epoch: [27][1240/5005] Time 0.330 (0.224) Data 0.249 (0.067) Loss 2.5294 (2.5756) Prec@1 44.922 (42.543) Prec@5 70.703 (68.254)
Epoch: [27][1250/5005] Time 0.209 (0.224) Data 0.045 (0.067) Loss 2.8388 (2.5758) Prec@1 41.797 (42.541) Prec@5 61.328 (68.249)
Epoch: [27][1260/5005] Time 0.194 (0.224) Data 0.051 (0.067) Loss 2.2651 (2.5752) Prec@1 48.438 (42.544) Prec@5 73.438 (68.256)
Epoch: [27][1270/5005] Time 0.323 (0.224) Data 0.240 (0.067) Loss 2.6542 (2.5758) Prec@1 42.188 (42.535) Prec@5 66.406 (68.241)
Epoch: [27][1280/5005] Time 0.199 (0.224) Data 0.049 (0.067) Loss 2.4991 (2.5760) Prec@1 45.312 (42.530) Prec@5 68.359 (68.238)
Epoch: [27][1290/5005] Time 0.199 (0.224) Data 0.056 (0.068) Loss 2.3062 (2.5759) Prec@1 46.875 (42.532) Prec@5 70.312 (68.235)
Epoch: [27][1300/5005] Time 0.207 (0.224) Data 0.045 (0.068) Loss 2.4220 (2.5758) Prec@1 47.656 (42.532) Prec@5 69.141 (68.240)
Epoch: [27][1310/5005] Time 0.191 (0.224) Data 0.101 (0.068) Loss 2.6395 (2.5760) Prec@1 40.625 (42.531) Prec@5 69.141 (68.236)
Epoch: [27][1320/5005] Time 0.209 (0.224) Data 0.050 (0.068) Loss 2.6010 (2.5761) Prec@1 45.312 (42.535) Prec@5 69.531 (68.235)
Epoch: [27][1330/5005] Time 0.205 (0.224) Data 0.045 (0.068) Loss 2.6712 (2.5763) Prec@1 40.625 (42.533) Prec@5 69.141 (68.236)
Epoch: [27][1340/5005] Time 0.203 (0.224) Data 0.043 (0.068) Loss 2.5798 (2.5763) Prec@1 39.844 (42.538) Prec@5 69.141 (68.237)
Epoch: [27][1350/5005] Time 0.204 (0.224) Data 0.108 (0.068) Loss 3.1000 (2.5764) Prec@1 35.156 (42.530) Prec@5 60.547 (68.243)
Epoch: [27][1360/5005] Time 0.200 (0.224) Data 0.047 (0.069) Loss 2.3372 (2.5763) Prec@1 47.266 (42.534) Prec@5 72.656 (68.238)
Epoch: [27][1370/5005] Time 0.208 (0.224) Data 0.042 (0.069) Loss 2.6832 (2.5761) Prec@1 40.625 (42.534) Prec@5 70.312 (68.245)
Epoch: [27][1380/5005] Time 0.212 (0.224) Data 0.041 (0.069) Loss 2.4656 (2.5756) Prec@1 42.969 (42.546) Prec@5 70.312 (68.262)
Epoch: [27][1390/5005] Time 0.302 (0.224) Data 0.214 (0.069) Loss 2.5579 (2.5756) Prec@1 42.969 (42.550) Prec@5 67.578 (68.256)
Epoch: [27][1400/5005] Time 0.333 (0.224) Data 0.249 (0.069) Loss 2.5296 (2.5747) Prec@1 44.531 (42.568) Prec@5 69.531 (68.270)
Epoch: [27][1410/5005] Time 0.216 (0.224) Data 0.047 (0.068) Loss 2.4647 (2.5743) Prec@1 44.141 (42.574) Prec@5 73.047 (68.278)
Epoch: [27][1420/5005] Time 0.197 (0.224) Data 0.049 (0.069) Loss 2.7682 (2.5743) Prec@1 41.406 (42.579) Prec@5 68.750 (68.284)
Epoch: [27][1430/5005] Time 0.214 (0.224) Data 0.042 (0.069) Loss 2.2170 (2.5739) Prec@1 52.344 (42.595) Prec@5 75.391 (68.294)
Epoch: [27][1440/5005] Time 0.202 (0.224) Data 0.049 (0.069) Loss 2.3723 (2.5737) Prec@1 49.219 (42.597) Prec@5 72.656 (68.294)
Epoch: [27][1450/5005] Time 0.212 (0.224) Data 0.042 (0.069) Loss 2.6368 (2.5739) Prec@1 43.359 (42.591) Prec@5 65.625 (68.280)
Epoch: [27][1460/5005] Time 0.357 (0.224) Data 0.277 (0.069) Loss 2.5488 (2.5737) Prec@1 42.188 (42.600) Prec@5 67.969 (68.285)
Epoch: [27][1470/5005] Time 0.201 (0.224) Data 0.045 (0.069) Loss 2.6408 (2.5737) Prec@1 41.797 (42.603) Prec@5 66.406 (68.286)
Epoch: [27][1480/5005] Time 0.202 (0.224) Data 0.040 (0.069) Loss 2.5227 (2.5739) Prec@1 44.531 (42.601) Prec@5 69.531 (68.284)
Epoch: [27][1490/5005] Time 0.200 (0.224) Data 0.047 (0.069) Loss 2.7160 (2.5737) Prec@1 40.625 (42.596) Prec@5 67.578 (68.288)
Epoch: [27][1500/5005] Time 0.211 (0.224) Data 0.047 (0.069) Loss 2.5373 (2.5734) Prec@1 46.875 (42.609) Prec@5 69.922 (68.293)
Epoch: [27][1510/5005] Time 0.205 (0.224) Data 0.047 (0.069) Loss 2.4439 (2.5732) Prec@1 40.625 (42.615) Prec@5 69.531 (68.294)
Epoch: [27][1520/5005] Time 0.192 (0.224) Data 0.049 (0.069) Loss 2.4831 (2.5729) Prec@1 47.266 (42.616) Prec@5 72.266 (68.300)
Epoch: [27][1530/5005] Time 0.204 (0.224) Data 0.048 (0.069) Loss 2.6515 (2.5730) Prec@1 40.234 (42.619) Prec@5 66.797 (68.295)
Epoch: [27][1540/5005] Time 0.206 (0.224) Data 0.044 (0.069) Loss 2.5779 (2.5733) Prec@1 42.578 (42.616) Prec@5 67.188 (68.288)
Epoch: [27][1550/5005] Time 0.211 (0.224) Data 0.046 (0.069) Loss 2.5249 (2.5729) Prec@1 43.359 (42.622) Prec@5 70.312 (68.299)
Epoch: [27][1560/5005] Time 0.214 (0.224) Data 0.042 (0.069) Loss 2.4216 (2.5729) Prec@1 45.703 (42.629) Prec@5 71.484 (68.300)
Epoch: [27][1570/5005] Time 0.200 (0.224) Data 0.057 (0.070) Loss 2.4433 (2.5724) Prec@1 43.359 (42.640) Prec@5 69.141 (68.306)
Epoch: [27][1580/5005] Time 0.210 (0.224) Data 0.046 (0.070) Loss 2.3221 (2.5723) Prec@1 42.969 (42.636) Prec@5 73.828 (68.303)
Epoch: [27][1590/5005] Time 0.205 (0.224) Data 0.046 (0.070) Loss 2.6406 (2.5723) Prec@1 43.359 (42.633) Prec@5 67.969 (68.298)
Epoch: [27][1600/5005] Time 0.200 (0.224) Data 0.045 (0.070) Loss 2.6325 (2.5724) Prec@1 39.453 (42.634) Prec@5 67.188 (68.297)
Epoch: [27][1610/5005] Time 0.198 (0.224) Data 0.049 (0.070) Loss 2.6076 (2.5723) Prec@1 39.844 (42.633) Prec@5 69.922 (68.306)
Epoch: [27][1620/5005] Time 0.203 (0.224) Data 0.098 (0.070) Loss 2.6057 (2.5719) Prec@1 41.016 (42.634) Prec@5 67.969 (68.310)
Epoch: [27][1630/5005] Time 0.203 (0.224) Data 0.045 (0.070) Loss 2.4351 (2.5719) Prec@1 48.047 (42.638) Prec@5 68.359 (68.308)
Epoch: [27][1640/5005] Time 0.453 (0.224) Data 0.366 (0.071) Loss 2.5481 (2.5722) Prec@1 46.094 (42.642) Prec@5 70.312 (68.301)
Epoch: [27][1650/5005] Time 0.211 (0.224) Data 0.045 (0.070) Loss 2.6061 (2.5720) Prec@1 42.969 (42.647) Prec@5 67.969 (68.310)
Epoch: [27][1660/5005] Time 0.204 (0.224) Data 0.046 (0.070) Loss 2.4770 (2.5715) Prec@1 47.266 (42.666) Prec@5 72.266 (68.316)
Epoch: [27][1670/5005] Time 0.224 (0.224) Data 0.141 (0.070) Loss 2.4173 (2.5714) Prec@1 47.266 (42.665) Prec@5 71.094 (68.316)
Epoch: [27][1680/5005] Time 0.199 (0.224) Data 0.058 (0.071) Loss 2.6819 (2.5716) Prec@1 44.922 (42.666) Prec@5 65.234 (68.315)
Epoch: [27][1690/5005] Time 0.202 (0.224) Data 0.057 (0.070) Loss 2.4005 (2.5711) Prec@1 42.578 (42.672) Prec@5 71.875 (68.322)
Epoch: [27][1700/5005] Time 0.253 (0.224) Data 0.164 (0.071) Loss 2.4628 (2.5706) Prec@1 46.094 (42.682) Prec@5 67.578 (68.327)
Epoch: [27][1710/5005] Time 0.198 (0.224) Data 0.119 (0.071) Loss 2.3890 (2.5701) Prec@1 44.922 (42.692) Prec@5 71.094 (68.335)
Epoch: [27][1720/5005] Time 0.200 (0.224) Data 0.062 (0.071) Loss 2.7330 (2.5702) Prec@1 42.969 (42.687) Prec@5 66.406 (68.338)
Epoch: [27][1730/5005] Time 0.202 (0.224) Data 0.040 (0.071) Loss 2.6482 (2.5702) Prec@1 37.891 (42.683) Prec@5 68.359 (68.333)
Epoch: [27][1740/5005] Time 0.429 (0.224) Data 0.345 (0.071) Loss 2.6652 (2.5700) Prec@1 39.062 (42.685) Prec@5 67.578 (68.341)
Epoch: [27][1750/5005] Time 0.198 (0.224) Data 0.049 (0.071) Loss 2.4652 (2.5697) Prec@1 39.844 (42.690) Prec@5 69.922 (68.344)
Epoch: [27][1760/5005] Time 0.196 (0.224) Data 0.056 (0.072) Loss 2.3530 (2.5694) Prec@1 48.047 (42.695) Prec@5 72.266 (68.347)
Epoch: [27][1770/5005] Time 0.215 (0.224) Data 0.041 (0.071) Loss 2.6337 (2.5691) Prec@1 39.062 (42.699) Prec@5 66.406 (68.353)
Epoch: [27][1780/5005] Time 0.209 (0.224) Data 0.095 (0.071) Loss 2.5126 (2.5689) Prec@1 44.141 (42.699) Prec@5 68.750 (68.356)
Epoch: [27][1790/5005] Time 0.207 (0.224) Data 0.046 (0.072) Loss 2.4148 (2.5685) Prec@1 48.438 (42.705) Prec@5 71.875 (68.361)
Epoch: [27][1800/5005] Time 0.207 (0.224) Data 0.049 (0.071) Loss 2.4682 (2.5684) Prec@1 44.141 (42.705) Prec@5 68.750 (68.363)
Epoch: [27][1810/5005] Time 0.203 (0.224) Data 0.046 (0.071) Loss 2.5276 (2.5683) Prec@1 41.016 (42.698) Prec@5 69.531 (68.363)
Epoch: [27][1820/5005] Time 0.231 (0.224) Data 0.146 (0.072) Loss 2.6280 (2.5683) Prec@1 39.844 (42.698) Prec@5 68.750 (68.366)
Epoch: [27][1830/5005] Time 0.198 (0.224) Data 0.056 (0.072) Loss 2.2831 (2.5679) Prec@1 48.828 (42.707) Prec@5 72.656 (68.367)
Epoch: [27][1840/5005] Time 0.200 (0.224) Data 0.049 (0.072) Loss 2.6922 (2.5677) Prec@1 38.281 (42.712) Prec@5 68.750 (68.370)
Epoch: [27][1850/5005] Time 0.197 (0.224) Data 0.057 (0.072) Loss 2.4653 (2.5674) Prec@1 45.703 (42.724) Prec@5 70.703 (68.373)
Epoch: [27][1860/5005] Time 0.202 (0.224) Data 0.043 (0.072) Loss 2.5517 (2.5674) Prec@1 42.969 (42.721) Prec@5 66.406 (68.378)
Epoch: [27][1870/5005] Time 0.228 (0.224) Data 0.149 (0.072) Loss 2.7533 (2.5675) Prec@1 38.281 (42.720) Prec@5 62.109 (68.371)
Epoch: [27][1880/5005] Time 0.190 (0.224) Data 0.113 (0.072) Loss 2.6792 (2.5678) Prec@1 38.672 (42.715) Prec@5 69.141 (68.365)
Epoch: [27][1890/5005] Time 0.199 (0.224) Data 0.053 (0.072) Loss 2.6043 (2.5675) Prec@1 41.406 (42.721) Prec@5 69.531 (68.370)
Epoch: [27][1900/5005] Time 0.220 (0.224) Data 0.046 (0.072) Loss 2.4772 (2.5680) Prec@1 42.969 (42.716) Prec@5 74.219 (68.368)
Epoch: [27][1910/5005] Time 0.199 (0.224) Data 0.044 (0.072) Loss 2.5794 (2.5681) Prec@1 42.578 (42.711) Prec@5 67.188 (68.361)
Epoch: [27][1920/5005] Time 0.506 (0.225) Data 0.421 (0.072) Loss 2.3851 (2.5678) Prec@1 46.875 (42.711) Prec@5 75.000 (68.373)
Epoch: [27][1930/5005] Time 0.203 (0.224) Data 0.038 (0.072) Loss 2.3840 (2.5674) Prec@1 48.047 (42.720) Prec@5 70.703 (68.380)
Epoch: [27][1940/5005] Time 0.203 (0.224) Data 0.052 (0.072) Loss 2.2897 (2.5670) Prec@1 49.609 (42.726) Prec@5 73.438 (68.389)
Epoch: [27][1950/5005] Time 0.212 (0.224) Data 0.040 (0.072) Loss 2.5978 (2.5670) Prec@1 41.797 (42.723) Prec@5 64.844 (68.384)
Epoch: [27][1960/5005] Time 0.204 (0.224) Data 0.046 (0.072) Loss 2.4404 (2.5666) Prec@1 44.922 (42.727) Prec@5 71.875 (68.391)
Epoch: [27][1970/5005] Time 0.200 (0.224) Data 0.044 (0.072) Loss 2.5325 (2.5669) Prec@1 44.141 (42.724) Prec@5 64.453 (68.379)
Epoch: [27][1980/5005] Time 0.204 (0.224) Data 0.044 (0.072) Loss 2.3076 (2.5667) Prec@1 48.047 (42.727) Prec@5 72.266 (68.382)
Epoch: [27][1990/5005] Time 0.210 (0.224) Data 0.058 (0.073) Loss 2.3018 (2.5663) Prec@1 48.047 (42.733) Prec@5 71.484 (68.389)
Epoch: [27][2000/5005] Time 0.194 (0.224) Data 0.058 (0.073) Loss 2.2863 (2.5664) Prec@1 50.000 (42.733) Prec@5 73.438 (68.392)
Epoch: [27][2010/5005] Time 0.210 (0.224) Data 0.053 (0.073) Loss 2.5073 (2.5664) Prec@1 40.234 (42.730) Prec@5 67.969 (68.387)
Epoch: [27][2020/5005] Time 0.200 (0.224) Data 0.055 (0.073) Loss 2.6276 (2.5664) Prec@1 40.234 (42.733) Prec@5 66.797 (68.385)
Epoch: [27][2030/5005] Time 0.200 (0.224) Data 0.044 (0.073) Loss 2.5507 (2.5664) Prec@1 42.188 (42.740) Prec@5 71.484 (68.385)
Epoch: [27][2040/5005] Time 0.210 (0.224) Data 0.050 (0.073) Loss 2.3837 (2.5661) Prec@1 45.703 (42.744) Prec@5 70.312 (68.389)
Epoch: [27][2050/5005] Time 0.701 (0.225) Data 0.613 (0.073) Loss 2.6975 (2.5657) Prec@1 46.094 (42.757) Prec@5 65.625 (68.393)
Epoch: [27][2060/5005] Time 0.201 (0.225) Data 0.040 (0.073) Loss 2.4457 (2.5656) Prec@1 42.578 (42.750) Prec@5 69.922 (68.395)
Epoch: [27][2070/5005] Time 0.200 (0.225) Data 0.040 (0.073) Loss 2.8701 (2.5659) Prec@1 35.547 (42.741) Prec@5 64.844 (68.392)
Epoch: [27][2080/5005] Time 0.211 (0.224) Data 0.043 (0.073) Loss 2.7202 (2.5659) Prec@1 42.969 (42.746) Prec@5 66.797 (68.391)
Epoch: [27][2090/5005] Time 0.213 (0.224) Data 0.046 (0.073) Loss 2.3539 (2.5656) Prec@1 49.219 (42.747) Prec@5 71.875 (68.395)
Epoch: [27][2100/5005] Time 0.202 (0.224) Data 0.089 (0.073) Loss 2.5630 (2.5653) Prec@1 41.406 (42.753) Prec@5 72.266 (68.397)
Epoch: [27][2110/5005] Time 0.209 (0.224) Data 0.043 (0.073) Loss 2.4387 (2.5651) Prec@1 46.484 (42.762) Prec@5 71.875 (68.401)
Epoch: [27][2120/5005] Time 0.201 (0.225) Data 0.040 (0.073) Loss 2.6769 (2.5649) Prec@1 41.797 (42.769) Prec@5 68.359 (68.409)
Epoch: [27][2130/5005] Time 0.205 (0.225) Data 0.042 (0.073) Loss 2.5906 (2.5644) Prec@1 43.750 (42.777) Prec@5 66.406 (68.414)
Epoch: [27][2140/5005] Time 0.209 (0.225) Data 0.054 (0.073) Loss 2.3234 (2.5643) Prec@1 44.141 (42.776) Prec@5 68.359 (68.416)
Epoch: [27][2150/5005] Time 0.196 (0.225) Data 0.049 (0.073) Loss 2.3916 (2.5641) Prec@1 45.312 (42.779) Prec@5 73.047 (68.416)
Epoch: [27][2160/5005] Time 0.193 (0.224) Data 0.055 (0.073) Loss 2.4660 (2.5639) Prec@1 43.359 (42.781) Prec@5 70.312 (68.418)
Epoch: [27][2170/5005] Time 0.197 (0.225) Data 0.042 (0.073) Loss 2.2877 (2.5636) Prec@1 46.094 (42.787) Prec@5 76.562 (68.429)
Epoch: [27][2180/5005] Time 0.335 (0.225) Data 0.253 (0.073) Loss 2.6224 (2.5634) Prec@1 42.188 (42.789) Prec@5 64.844 (68.429)
Epoch: [27][2190/5005] Time 0.198 (0.225) Data 0.052 (0.073) Loss 2.8430 (2.5635) Prec@1 41.797 (42.789) Prec@5 63.672 (68.427)
Epoch: [27][2200/5005] Time 0.199 (0.225) Data 0.062 (0.073) Loss 2.6543 (2.5637) Prec@1 41.406 (42.781) Prec@5 65.625 (68.422)
Epoch: [27][2210/5005] Time 0.445 (0.225) Data 0.360 (0.073) Loss 2.6564 (2.5639) Prec@1 41.016 (42.779) Prec@5 66.406 (68.418)
Epoch: [27][2220/5005] Time 0.208 (0.225) Data 0.043 (0.073) Loss 2.6439 (2.5637) Prec@1 41.797 (42.776) Prec@5 66.406 (68.423)
Epoch: [27][2230/5005] Time 0.206 (0.225) Data 0.045 (0.073) Loss 2.5624 (2.5636) Prec@1 44.922 (42.778) Prec@5 71.094 (68.426)
Epoch: [27][2240/5005] Time 0.198 (0.225) Data 0.086 (0.073) Loss 2.4989 (2.5636) Prec@1 44.141 (42.783) Prec@5 69.141 (68.429)
Epoch: [27][2250/5005] Time 0.208 (0.225) Data 0.046 (0.074) Loss 2.3855 (2.5636) Prec@1 47.266 (42.787) Prec@5 72.266 (68.427)
Epoch: [27][2260/5005] Time 0.385 (0.225) Data 0.299 (0.074) Loss 2.4707 (2.5632) Prec@1 44.141 (42.796) Prec@5 69.922 (68.436)
Epoch: [27][2270/5005] Time 0.197 (0.224) Data 0.050 (0.074) Loss 2.6750 (2.5628) Prec@1 38.281 (42.803) Prec@5 67.188 (68.440)
Epoch: [27][2280/5005] Time 0.350 (0.225) Data 0.272 (0.074) Loss 2.4990 (2.5626) Prec@1 42.188 (42.809) Prec@5 70.312 (68.447)
Epoch: [27][2290/5005] Time 0.213 (0.225) Data 0.043 (0.074) Loss 2.3907 (2.5626) Prec@1 47.266 (42.811) Prec@5 73.047 (68.447)
Epoch: [27][2300/5005] Time 0.210 (0.225) Data 0.041 (0.074) Loss 2.5108 (2.5624) Prec@1 43.359 (42.812) Prec@5 70.703 (68.450)
Epoch: [27][2310/5005] Time 0.210 (0.225) Data 0.043 (0.074) Loss 2.3915 (2.5623) Prec@1 46.484 (42.816) Prec@5 70.312 (68.456)
Epoch: [27][2320/5005] Time 0.205 (0.225) Data 0.040 (0.074) Loss 2.6433 (2.5623) Prec@1 41.406 (42.818) Prec@5 69.141 (68.457)
Epoch: [27][2330/5005] Time 0.452 (0.225) Data 0.369 (0.074) Loss 2.4437 (2.5620) Prec@1 47.656 (42.825) Prec@5 71.875 (68.463)
Epoch: [27][2340/5005] Time 0.192 (0.225) Data 0.050 (0.074) Loss 2.5153 (2.5616) Prec@1 44.141 (42.829) Prec@5 66.016 (68.467)
Epoch: [27][2350/5005] Time 0.198 (0.225) Data 0.041 (0.074) Loss 2.4801 (2.5614) Prec@1 44.922 (42.832) Prec@5 66.797 (68.469)
Epoch: [27][2360/5005] Time 0.206 (0.225) Data 0.046 (0.074) Loss 2.5002 (2.5613) Prec@1 45.703 (42.834) Prec@5 65.234 (68.462)
Epoch: [27][2370/5005] Time 0.556 (0.225) Data 0.475 (0.074) Loss 2.5483 (2.5613) Prec@1 46.484 (42.835) Prec@5 65.625 (68.462)
Epoch: [27][2380/5005] Time 0.201 (0.225) Data 0.040 (0.074) Loss 2.5392 (2.5608) Prec@1 43.750 (42.844) Prec@5 68.750 (68.472)
Epoch: [27][2390/5005] Time 0.201 (0.225) Data 0.055 (0.074) Loss 2.3439 (2.5604) Prec@1 46.875 (42.852) Prec@5 70.312 (68.478)
Epoch: [27][2400/5005] Time 0.207 (0.225) Data 0.043 (0.074) Loss 2.5303 (2.5604) Prec@1 43.750 (42.848) Prec@5 69.922 (68.479)
Epoch: [27][2410/5005] Time 0.206 (0.225) Data 0.040 (0.074) Loss 2.7548 (2.5604) Prec@1 41.406 (42.853) Prec@5 65.234 (68.477)
Epoch: [27][2420/5005] Time 0.204 (0.225) Data 0.048 (0.074) Loss 2.5137 (2.5602) Prec@1 45.312 (42.860) Prec@5 69.531 (68.482)
Epoch: [27][2430/5005] Time 0.205 (0.225) Data 0.046 (0.074) Loss 2.3998 (2.5601) Prec@1 46.094 (42.862) Prec@5 69.141 (68.480)
Epoch: [27][2440/5005] Time 0.201 (0.225) Data 0.050 (0.074) Loss 2.2872 (2.5599) Prec@1 49.609 (42.872) Prec@5 73.828 (68.484)
Epoch: [27][2450/5005] Time 0.212 (0.225) Data 0.048 (0.074) Loss 2.4200 (2.5597) Prec@1 44.922 (42.877) Prec@5 69.141 (68.487)
Epoch: [27][2460/5005] Time 0.213 (0.225) Data 0.053 (0.074) Loss 2.4689 (2.5593) Prec@1 45.312 (42.880) Prec@5 69.922 (68.494)
Epoch: [27][2470/5005] Time 0.193 (0.225) Data 0.051 (0.074) Loss 2.4951 (2.5590) Prec@1 44.141 (42.889) Prec@5 65.625 (68.498)
Epoch: [27][2480/5005] Time 0.202 (0.225) Data 0.045 (0.074) Loss 2.7066 (2.5591) Prec@1 39.062 (42.889) Prec@5 67.188 (68.495)
Epoch: [27][2490/5005] Time 0.199 (0.225) Data 0.044 (0.074) Loss 2.3245 (2.5591) Prec@1 45.703 (42.886) Prec@5 73.438 (68.497)
Epoch: [27][2500/5005] Time 0.238 (0.225) Data 0.153 (0.074) Loss 2.5489 (2.5589) Prec@1 43.359 (42.891) Prec@5 68.359 (68.501)
Epoch: [27][2510/5005] Time 0.202 (0.225) Data 0.046 (0.074) Loss 2.5848 (2.5589) Prec@1 44.141 (42.895) Prec@5 68.750 (68.502)
Epoch: [27][2520/5005] Time 0.331 (0.225) Data 0.249 (0.075) Loss 2.4084 (2.5588) Prec@1 49.219 (42.897) Prec@5 71.094 (68.502)
Epoch: [27][2530/5005] Time 0.205 (0.225) Data 0.045 (0.074) Loss 2.8245 (2.5589) Prec@1 36.328 (42.895) Prec@5 62.109 (68.499)
Epoch: [27][2540/5005] Time 0.199 (0.225) Data 0.045 (0.074) Loss 2.4852 (2.5588) Prec@1 41.797 (42.898) Prec@5 70.312 (68.503)
Epoch: [27][2550/5005] Time 0.205 (0.225) Data 0.041 (0.075) Loss 2.4588 (2.5585) Prec@1 42.969 (42.903) Prec@5 69.531 (68.508)
Epoch: [27][2560/5005] Time 0.199 (0.225) Data 0.044 (0.074) Loss 2.7221 (2.5586) Prec@1 38.672 (42.904) Prec@5 66.016 (68.507)
Epoch: [27][2570/5005] Time 0.206 (0.225) Data 0.043 (0.074) Loss 2.5975 (2.5587) Prec@1 41.797 (42.901) Prec@5 69.141 (68.505)
Epoch: [27][2580/5005] Time 0.200 (0.225) Data 0.047 (0.074) Loss 2.6859 (2.5589) Prec@1 42.969 (42.895) Prec@5 64.062 (68.501)
Epoch: [27][2590/5005] Time 0.198 (0.225) Data 0.059 (0.075) Loss 2.6759 (2.5588) Prec@1 43.359 (42.900) Prec@5 66.797 (68.500)
Epoch: [27][2600/5005] Time 0.209 (0.225) Data 0.041 (0.074) Loss 2.5586 (2.5589) Prec@1 41.406 (42.899) Prec@5 70.312 (68.497)
Epoch: [27][2610/5005] Time 0.209 (0.225) Data 0.041 (0.074) Loss 2.7051 (2.5586) Prec@1 39.844 (42.901) Prec@5 63.672 (68.496)
Epoch: [27][2620/5005] Time 0.197 (0.225) Data 0.047 (0.075) Loss 2.4261 (2.5585) Prec@1 44.922 (42.904) Prec@5 70.312 (68.500)
Epoch: [27][2630/5005] Time 0.208 (0.225) Data 0.047 (0.075) Loss 2.7513 (2.5587) Prec@1 41.797 (42.904) Prec@5 66.797 (68.494)
Epoch: [27][2640/5005] Time 0.376 (0.225) Data 0.290 (0.075) Loss 2.6088 (2.5586) Prec@1 40.625 (42.906) Prec@5 67.188 (68.495)
Epoch: [27][2650/5005] Time 0.200 (0.225) Data 0.056 (0.075) Loss 2.6804 (2.5586) Prec@1 41.797 (42.905) Prec@5 64.453 (68.493)
Epoch: [27][2660/5005] Time 0.204 (0.225) Data 0.061 (0.075) Loss 2.4784 (2.5584) Prec@1 44.531 (42.910) Prec@5 71.094 (68.492)
Epoch: [27][2670/5005] Time 0.564 (0.225) Data 0.474 (0.075) Loss 2.3074 (2.5581) Prec@1 46.484 (42.917) Prec@5 70.703 (68.492)
Epoch: [27][2680/5005] Time 0.215 (0.225) Data 0.132 (0.075) Loss 2.4753 (2.5580) Prec@1 47.656 (42.917) Prec@5 71.875 (68.493)
Epoch: [27][2690/5005] Time 0.843 (0.225) Data 0.753 (0.075) Loss 2.4347 (2.5579) Prec@1 49.219 (42.921) Prec@5 71.094 (68.496)
Epoch: [27][2700/5005] Time 0.204 (0.225) Data 0.086 (0.075) Loss 2.4484 (2.5577) Prec@1 46.094 (42.921) Prec@5 67.188 (68.502)
Epoch: [27][2710/5005] Time 0.206 (0.225) Data 0.056 (0.075) Loss 2.3074 (2.5577) Prec@1 49.219 (42.922) Prec@5 71.484 (68.502)
Epoch: [27][2720/5005] Time 0.192 (0.225) Data 0.100 (0.075) Loss 2.4124 (2.5576) Prec@1 44.141 (42.925) Prec@5 73.828 (68.504)
Epoch: [27][2730/5005] Time 0.189 (0.225) Data 0.061 (0.075) Loss 2.5004 (2.5573) Prec@1 40.625 (42.929) Prec@5 71.875 (68.511)
Epoch: [27][2740/5005] Time 0.201 (0.225) Data 0.109 (0.075) Loss 2.4290 (2.5572) Prec@1 44.531 (42.928) Prec@5 71.484 (68.513)
Epoch: [27][2750/5005] Time 0.197 (0.225) Data 0.058 (0.075) Loss 2.3731 (2.5569) Prec@1 45.312 (42.937) Prec@5 73.047 (68.516)
Epoch: [27][2760/5005] Time 0.193 (0.225) Data 0.057 (0.075) Loss 2.5083 (2.5568) Prec@1 45.312 (42.939) Prec@5 70.312 (68.520)
Epoch: [27][2770/5005] Time 0.206 (0.225) Data 0.046 (0.075) Loss 2.5106 (2.5568) Prec@1 44.141 (42.937) Prec@5 66.797 (68.522)
Epoch: [27][2780/5005] Time 0.208 (0.225) Data 0.048 (0.075) Loss 2.7942 (2.5569) Prec@1 40.625 (42.940) Prec@5 65.625 (68.519)
Epoch: [27][2790/5005] Time 0.200 (0.225) Data 0.055 (0.075) Loss 2.8773 (2.5570) Prec@1 37.500 (42.943) Prec@5 62.109 (68.515)
Epoch: [27][2800/5005] Time 0.203 (0.225) Data 0.088 (0.075) Loss 2.2887 (2.5567) Prec@1 50.781 (42.950) Prec@5 71.484 (68.519)
Epoch: [27][2810/5005] Time 0.199 (0.225) Data 0.046 (0.075) Loss 2.6900 (2.5566) Prec@1 42.969 (42.952) Prec@5 67.188 (68.520)
Epoch: [27][2820/5005] Time 0.206 (0.225) Data 0.117 (0.075) Loss 2.2413 (2.5564) Prec@1 48.047 (42.954) Prec@5 70.703 (68.522)
Epoch: [27][2830/5005] Time 0.196 (0.225) Data 0.044 (0.075) Loss 2.8610 (2.5565) Prec@1 34.766 (42.953) Prec@5 66.016 (68.519)
Epoch: [27][2840/5005] Time 0.205 (0.225) Data 0.049 (0.076) Loss 2.4826 (2.5564) Prec@1 44.141 (42.951) Prec@5 66.797 (68.518)
Epoch: [27][2850/5005] Time 0.203 (0.225) Data 0.051 (0.076) Loss 2.4496 (2.5563) Prec@1 48.047 (42.957) Prec@5 70.703 (68.521)
Epoch: [27][2860/5005] Time 0.208 (0.225) Data 0.054 (0.076) Loss 2.5264 (2.5563) Prec@1 43.359 (42.960) Prec@5 69.141 (68.523)
Epoch: [27][2870/5005] Time 0.211 (0.225) Data 0.047 (0.076) Loss 2.3271 (2.5559) Prec@1 43.750 (42.970) Prec@5 72.266 (68.531)
Epoch: [27][2880/5005] Time 0.202 (0.225) Data 0.039 (0.076) Loss 2.4775 (2.5559) Prec@1 40.234 (42.971) Prec@5 71.875 (68.531)
Epoch: [27][2890/5005] Time 0.390 (0.225) Data 0.304 (0.076) Loss 2.6112 (2.5558) Prec@1 39.062 (42.975) Prec@5 69.141 (68.534)
Epoch: [27][2900/5005] Time 0.229 (0.225) Data 0.046 (0.075) Loss 2.1720 (2.5554) Prec@1 53.125 (42.984) Prec@5 74.219 (68.541)
Epoch: [27][2910/5005] Time 0.201 (0.225) Data 0.048 (0.076) Loss 2.5518 (2.5556) Prec@1 44.141 (42.979) Prec@5 70.312 (68.540)
Epoch: [27][2920/5005] Time 0.207 (0.225) Data 0.047 (0.076) Loss 2.6690 (2.5556) Prec@1 41.797 (42.977) Prec@5 65.234 (68.541)
Epoch: [27][2930/5005] Time 0.205 (0.225) Data 0.044 (0.076) Loss 2.8523 (2.5557) Prec@1 33.984 (42.975) Prec@5 63.281 (68.540)
Epoch: [27][2940/5005] Time 0.199 (0.225) Data 0.050 (0.076) Loss 2.6387 (2.5555) Prec@1 40.625 (42.979) Prec@5 67.578 (68.545)
Epoch: [27][2950/5005] Time 0.198 (0.225) Data 0.060 (0.076) Loss 2.7143 (2.5551) Prec@1 40.234 (42.983) Prec@5 67.188 (68.553)
Epoch: [27][2960/5005] Time 0.195 (0.225) Data 0.046 (0.076) Loss 2.4901 (2.5550) Prec@1 46.094 (42.988) Prec@5 69.922 (68.556)
Epoch: [27][2970/5005] Time 0.212 (0.225) Data 0.039 (0.076) Loss 2.5903 (2.5548) Prec@1 42.969 (42.992) Prec@5 67.578 (68.560)
Epoch: [27][2980/5005] Time 0.679 (0.225) Data 0.592 (0.076) Loss 2.6219 (2.5548) Prec@1 44.141 (42.995) Prec@5 66.797 (68.562)
Epoch: [27][2990/5005] Time 0.202 (0.225) Data 0.056 (0.076) Loss 2.4397 (2.5547) Prec@1 44.922 (42.996) Prec@5 69.922 (68.562)
Epoch: [27][3000/5005] Time 0.192 (0.225) Data 0.050 (0.076) Loss 2.4723 (2.5545) Prec@1 45.312 (42.999) Prec@5 69.531 (68.564)
Epoch: [27][3010/5005] Time 0.200 (0.225) Data 0.053 (0.076) Loss 2.5252 (2.5545) Prec@1 42.969 (42.997) Prec@5 67.188 (68.565)
Epoch: [27][3020/5005] Time 0.208 (0.225) Data 0.045 (0.076) Loss 2.5013 (2.5547) Prec@1 40.234 (42.993) Prec@5 67.969 (68.562)
Epoch: [27][3030/5005] Time 0.205 (0.225) Data 0.050 (0.076) Loss 2.5162 (2.5547) Prec@1 43.359 (42.992) Prec@5 69.141 (68.561)
Epoch: [27][3040/5005] Time 0.202 (0.225) Data 0.041 (0.076) Loss 2.3069 (2.5545) Prec@1 46.484 (43.000) Prec@5 69.141 (68.560)
Epoch: [27][3050/5005] Time 0.200 (0.225) Data 0.041 (0.076) Loss 2.5275 (2.5543) Prec@1 42.578 (42.999) Prec@5 69.922 (68.562)
Epoch: [27][3060/5005] Time 0.205 (0.225) Data 0.042 (0.076) Loss 2.3183 (2.5541) Prec@1 45.703 (42.996) Prec@5 75.000 (68.564)
Epoch: [27][3070/5005] Time 0.206 (0.225) Data 0.087 (0.076) Loss 2.4609 (2.5541) Prec@1 44.141 (42.999) Prec@5 71.875 (68.566)
Epoch: [27][3080/5005] Time 0.203 (0.225) Data 0.041 (0.076) Loss 2.4294 (2.5540) Prec@1 43.750 (42.996) Prec@5 69.141 (68.565)
Epoch: [27][3090/5005] Time 0.198 (0.225) Data 0.047 (0.076) Loss 2.8461 (2.5538) Prec@1 37.500 (42.996) Prec@5 61.719 (68.570)
Epoch: [27][3100/5005] Time 0.200 (0.225) Data 0.053 (0.076) Loss 2.5428 (2.5537) Prec@1 45.312 (42.999) Prec@5 69.531 (68.572)
Epoch: [27][3110/5005] Time 0.580 (0.225) Data 0.487 (0.076) Loss 2.4395 (2.5535) Prec@1 43.359 (43.001) Prec@5 72.266 (68.577)
Epoch: [27][3120/5005] Time 0.196 (0.225) Data 0.047 (0.076) Loss 2.6097 (2.5534) Prec@1 40.625 (43.002) Prec@5 68.750 (68.579)
Epoch: [27][3130/5005] Time 0.204 (0.225) Data 0.040 (0.076) Loss 2.5861 (2.5532) Prec@1 40.234 (43.007) Prec@5 68.750 (68.578)
Epoch: [27][3140/5005] Time 0.209 (0.225) Data 0.042 (0.076) Loss 2.3229 (2.5528) Prec@1 47.656 (43.015) Prec@5 72.656 (68.585)
Epoch: [27][3150/5005] Time 0.201 (0.225) Data 0.050 (0.076) Loss 2.4414 (2.5526) Prec@1 43.359 (43.017) Prec@5 69.922 (68.587)
Epoch: [27][3160/5005] Time 0.199 (0.225) Data 0.047 (0.076) Loss 2.4706 (2.5525) Prec@1 42.578 (43.023) Prec@5 67.969 (68.590)
Epoch: [27][3170/5005] Time 0.193 (0.225) Data 0.085 (0.076) Loss 2.5662 (2.5525) Prec@1 44.141 (43.023) Prec@5 67.578 (68.590)
Epoch: [27][3180/5005] Time 0.199 (0.225) Data 0.045 (0.076) Loss 2.3231 (2.5525) Prec@1 50.781 (43.024) Prec@5 73.438 (68.590)
Epoch: [27][3190/5005] Time 0.199 (0.225) Data 0.061 (0.076) Loss 2.3883 (2.5525) Prec@1 47.266 (43.023) Prec@5 72.266 (68.593)
Epoch: [27][3200/5005] Time 0.212 (0.225) Data 0.053 (0.076) Loss 2.6232 (2.5523) Prec@1 41.406 (43.025) Prec@5 68.750 (68.598)
Epoch: [27][3210/5005] Time 0.204 (0.225) Data 0.052 (0.076) Loss 2.6286 (2.5522) Prec@1 41.797 (43.029) Prec@5 67.188 (68.602)
Epoch: [27][3220/5005] Time 0.210 (0.225) Data 0.052 (0.076) Loss 2.6606 (2.5521) Prec@1 41.016 (43.032) Prec@5 66.797 (68.603)
Epoch: [27][3230/5005] Time 0.201 (0.225) Data 0.043 (0.076) Loss 2.4172 (2.5517) Prec@1 46.484 (43.038) Prec@5 74.219 (68.611)
Epoch: [27][3240/5005] Time 0.199 (0.225) Data 0.044 (0.076) Loss 2.6889 (2.5520) Prec@1 39.844 (43.032) Prec@5 66.797 (68.603)
Epoch: [27][3250/5005] Time 0.203 (0.225) Data 0.048 (0.076) Loss 2.4727 (2.5520) Prec@1 40.625 (43.028) Prec@5 72.266 (68.604)
Epoch: [27][3260/5005] Time 0.200 (0.225) Data 0.060 (0.076) Loss 2.6125 (2.5520) Prec@1 44.922 (43.027) Prec@5 67.969 (68.605)
Epoch: [27][3270/5005] Time 0.202 (0.225) Data 0.043 (0.076) Loss 2.6204 (2.5519) Prec@1 42.969 (43.028) Prec@5 68.750 (68.607)
Epoch: [27][3280/5005] Time 0.206 (0.225) Data 0.093 (0.076) Loss 2.3004 (2.5519) Prec@1 50.391 (43.028) Prec@5 69.922 (68.605)
Epoch: [27][3290/5005] Time 0.205 (0.225) Data 0.045 (0.076) Loss 2.5105 (2.5518) Prec@1 42.578 (43.030) Prec@5 67.188 (68.608)
Epoch: [27][3300/5005] Time 0.193 (0.225) Data 0.042 (0.076) Loss 2.5213 (2.5516) Prec@1 42.578 (43.030) Prec@5 68.750 (68.610)
Epoch: [27][3310/5005] Time 0.200 (0.225) Data 0.081 (0.076) Loss 2.5288 (2.5516) Prec@1 44.141 (43.027) Prec@5 67.969 (68.608)
Epoch: [27][3320/5005] Time 0.194 (0.225) Data 0.096 (0.076) Loss 2.5131 (2.5516) Prec@1 45.703 (43.027) Prec@5 69.141 (68.607)
Epoch: [27][3330/5005] Time 0.383 (0.225) Data 0.293 (0.076) Loss 2.5550 (2.5516) Prec@1 42.969 (43.028) Prec@5 66.016 (68.606)
Epoch: [27][3340/5005] Time 0.205 (0.225) Data 0.045 (0.076) Loss 2.4389 (2.5515) Prec@1 47.656 (43.029) Prec@5 69.922 (68.610)
Epoch: [27][3350/5005] Time 0.192 (0.225) Data 0.046 (0.076) Loss 2.5900 (2.5514) Prec@1 41.406 (43.031) Prec@5 68.750 (68.614)
Epoch: [27][3360/5005] Time 0.207 (0.225) Data 0.046 (0.076) Loss 2.4214 (2.5513) Prec@1 46.875 (43.035) Prec@5 73.047 (68.617)
Epoch: [27][3370/5005] Time 0.207 (0.225) Data 0.119 (0.076) Loss 2.4925 (2.5513) Prec@1 41.797 (43.036) Prec@5 70.703 (68.615)
Epoch: [27][3380/5005] Time 0.197 (0.225) Data 0.096 (0.076) Loss 2.4187 (2.5511) Prec@1 44.922 (43.035) Prec@5 71.484 (68.620)
Epoch: [27][3390/5005] Time 0.192 (0.225) Data 0.047 (0.076) Loss 2.3817 (2.5512) Prec@1 46.875 (43.034) Prec@5 69.922 (68.619)
Epoch: [27][3400/5005] Time 0.205 (0.225) Data 0.044 (0.076) Loss 2.4005 (2.5512) Prec@1 45.312 (43.035) Prec@5 69.531 (68.619)
Epoch: [27][3410/5005] Time 0.371 (0.225) Data 0.284 (0.076) Loss 2.4707 (2.5510) Prec@1 42.969 (43.040) Prec@5 71.484 (68.624)
Epoch: [27][3420/5005] Time 0.206 (0.225) Data 0.052 (0.077) Loss 2.5519 (2.5509) Prec@1 43.750 (43.039) Prec@5 70.703 (68.623)
Epoch: [27][3430/5005] Time 0.204 (0.225) Data 0.052 (0.077) Loss 2.5180 (2.5509) Prec@1 42.578 (43.038) Prec@5 67.188 (68.622)
Epoch: [27][3440/5005] Time 0.213 (0.225) Data 0.127 (0.077) Loss 2.6367 (2.5507) Prec@1 44.531 (43.043) Prec@5 66.406 (68.626)
Epoch: [27][3450/5005] Time 0.279 (0.225) Data 0.191 (0.077) Loss 2.4182 (2.5505) Prec@1 44.922 (43.046) Prec@5 71.094 (68.630)
Epoch: [27][3460/5005] Time 0.216 (0.225) Data 0.130 (0.077) Loss 2.4099 (2.5505) Prec@1 45.312 (43.048) Prec@5 71.484 (68.629)
Epoch: [27][3470/5005] Time 0.207 (0.225) Data 0.047 (0.077) Loss 2.3068 (2.5503) Prec@1 48.047 (43.053) Prec@5 72.266 (68.634)
Epoch: [27][3480/5005] Time 0.200 (0.225) Data 0.053 (0.077) Loss 2.4703 (2.5501) Prec@1 45.312 (43.056) Prec@5 69.141 (68.636)
Epoch: [27][3490/5005] Time 0.205 (0.225) Data 0.043 (0.077) Loss 2.4980 (2.5500) Prec@1 41.406 (43.053) Prec@5 70.703 (68.636)
Epoch: [27][3500/5005] Time 0.209 (0.225) Data 0.051 (0.077) Loss 2.3841 (2.5501) Prec@1 46.094 (43.051) Prec@5 72.656 (68.636)
Epoch: [27][3510/5005] Time 0.197 (0.225) Data 0.055 (0.077) Loss 2.4331 (2.5499) Prec@1 44.531 (43.051) Prec@5 71.094 (68.640)
Epoch: [27][3520/5005] Time 0.201 (0.225) Data 0.041 (0.077) Loss 2.7311 (2.5498) Prec@1 38.672 (43.054) Prec@5 64.453 (68.640)
Epoch: [27][3530/5005] Time 0.523 (0.225) Data 0.436 (0.077) Loss 2.4062 (2.5495) Prec@1 42.969 (43.059) Prec@5 70.703 (68.646)
Epoch: [27][3540/5005] Time 0.200 (0.225) Data 0.047 (0.077) Loss 2.5220 (2.5493) Prec@1 42.969 (43.061) Prec@5 72.266 (68.651)
Epoch: [27][3550/5005] Time 0.195 (0.225) Data 0.050 (0.077) Loss 2.5117 (2.5492) Prec@1 44.141 (43.062) Prec@5 70.312 (68.652)
Epoch: [27][3560/5005] Time 0.209 (0.225) Data 0.040 (0.077) Loss 2.6417 (2.5490) Prec@1 41.406 (43.067) Prec@5 64.844 (68.654)
Epoch: [27][3570/5005] Time 0.192 (0.225) Data 0.044 (0.077) Loss 2.5967 (2.5490) Prec@1 42.578 (43.069) Prec@5 69.531 (68.653)
Epoch: [27][3580/5005] Time 0.218 (0.225) Data 0.043 (0.077) Loss 2.5742 (2.5490) Prec@1 39.844 (43.068) Prec@5 67.578 (68.654)
Epoch: [27][3590/5005] Time 0.212 (0.225) Data 0.047 (0.077) Loss 2.5181 (2.5486) Prec@1 40.234 (43.072) Prec@5 67.578 (68.658)
Epoch: [27][3600/5005] Time 0.202 (0.225) Data 0.047 (0.077) Loss 2.6269 (2.5484) Prec@1 45.703 (43.074) Prec@5 67.578 (68.659)
Epoch: [27][3610/5005] Time 0.196 (0.225) Data 0.047 (0.077) Loss 2.4819 (2.5483) Prec@1 47.266 (43.075) Prec@5 70.703 (68.660)
Epoch: [27][3620/5005] Time 0.199 (0.225) Data 0.046 (0.077) Loss 2.5985 (2.5481) Prec@1 41.406 (43.081) Prec@5 67.578 (68.663)
Epoch: [27][3630/5005] Time 0.193 (0.225) Data 0.044 (0.077) Loss 2.6869 (2.5479) Prec@1 43.359 (43.084) Prec@5 66.406 (68.665)
Epoch: [27][3640/5005] Time 0.199 (0.225) Data 0.059 (0.077) Loss 2.4696 (2.5477) Prec@1 44.531 (43.085) Prec@5 67.969 (68.667)
Epoch: [27][3650/5005] Time 0.197 (0.225) Data 0.044 (0.077) Loss 2.3285 (2.5476) Prec@1 44.922 (43.088) Prec@5 73.438 (68.669)
Epoch: [27][3660/5005] Time 0.211 (0.225) Data 0.041 (0.077) Loss 2.5618 (2.5474) Prec@1 41.406 (43.087) Prec@5 69.531 (68.674)
Epoch: [27][3670/5005] Time 0.200 (0.225) Data 0.047 (0.077) Loss 2.6067 (2.5473) Prec@1 37.500 (43.084) Prec@5 69.531 (68.674)
Epoch: [27][3680/5005] Time 0.199 (0.225) Data 0.094 (0.077) Loss 2.5162 (2.5473) Prec@1 45.312 (43.084) Prec@5 69.531 (68.672)
Epoch: [27][3690/5005] Time 0.190 (0.225) Data 0.051 (0.077) Loss 2.2826 (2.5473) Prec@1 45.312 (43.083) Prec@5 75.781 (68.674)
Epoch: [27][3700/5005] Time 0.201 (0.225) Data 0.046 (0.077) Loss 2.5064 (2.5474) Prec@1 44.531 (43.082) Prec@5 70.703 (68.674)
Epoch: [27][3710/5005] Time 0.207 (0.225) Data 0.043 (0.077) Loss 2.4850 (2.5474) Prec@1 43.359 (43.079) Prec@5 71.094 (68.675)
Epoch: [27][3720/5005] Time 0.206 (0.225) Data 0.047 (0.077) Loss 2.6974 (2.5473) Prec@1 42.578 (43.081) Prec@5 67.969 (68.677)
Epoch: [27][3730/5005] Time 0.203 (0.225) Data 0.039 (0.077) Loss 2.3415 (2.5472) Prec@1 44.922 (43.082) Prec@5 69.922 (68.678)
Epoch: [27][3740/5005] Time 0.196 (0.225) Data 0.047 (0.077) Loss 2.4177 (2.5468) Prec@1 47.266 (43.089) Prec@5 70.703 (68.683)
Epoch: [27][3750/5005] Time 0.376 (0.225) Data 0.295 (0.077) Loss 2.4064 (2.5468) Prec@1 44.531 (43.089) Prec@5 71.094 (68.681)
Epoch: [27][3760/5005] Time 0.212 (0.225) Data 0.043 (0.077) Loss 2.5508 (2.5468) Prec@1 42.188 (43.087) Prec@5 68.750 (68.682)
Epoch: [27][3770/5005] Time 0.189 (0.225) Data 0.094 (0.077) Loss 2.6341 (2.5467) Prec@1 43.359 (43.090) Prec@5 64.062 (68.682)
Epoch: [27][3780/5005] Time 0.254 (0.225) Data 0.170 (0.077) Loss 2.4577 (2.5465) Prec@1 44.141 (43.091) Prec@5 72.656 (68.684)
Epoch: [27][3790/5005] Time 0.204 (0.225) Data 0.052 (0.077) Loss 2.5898 (2.5465) Prec@1 45.703 (43.092) Prec@5 70.312 (68.687)
Epoch: [27][3800/5005] Time 0.201 (0.225) Data 0.046 (0.077) Loss 2.4838 (2.5466) Prec@1 46.094 (43.091) Prec@5 67.578 (68.683)
Epoch: [27][3810/5005] Time 0.203 (0.225) Data 0.041 (0.077) Loss 2.3965 (2.5466) Prec@1 46.484 (43.090) Prec@5 72.266 (68.683)
Epoch: [27][3820/5005] Time 0.201 (0.225) Data 0.040 (0.077) Loss 2.4778 (2.5464) Prec@1 43.750 (43.092) Prec@5 71.094 (68.684)
Epoch: [27][3830/5005] Time 0.386 (0.225) Data 0.296 (0.078) Loss 2.4897 (2.5461) Prec@1 43.750 (43.097) Prec@5 70.312 (68.687)
Epoch: [27][3840/5005] Time 0.201 (0.225) Data 0.045 (0.078) Loss 2.8015 (2.5462) Prec@1 39.453 (43.098) Prec@5 63.672 (68.684)
Epoch: [27][3850/5005] Time 0.204 (0.225) Data 0.046 (0.078) Loss 2.5699 (2.5459) Prec@1 39.844 (43.097) Prec@5 68.750 (68.688)
Epoch: [27][3860/5005] Time 0.197 (0.225) Data 0.045 (0.078) Loss 2.2552 (2.5458) Prec@1 49.609 (43.101) Prec@5 73.828 (68.691)
Epoch: [27][3870/5005] Time 0.416 (0.225) Data 0.342 (0.078) Loss 2.4683 (2.5458) Prec@1 44.141 (43.100) Prec@5 69.531 (68.689)
Epoch: [27][3880/5005] Time 0.193 (0.225) Data 0.047 (0.078) Loss 2.4663 (2.5457) Prec@1 45.703 (43.101) Prec@5 69.531 (68.691)
Epoch: [27][3890/5005] Time 0.207 (0.225) Data 0.043 (0.078) Loss 2.7315 (2.5456) Prec@1 41.016 (43.104) Prec@5 64.453 (68.691)
Epoch: [27][3900/5005] Time 0.199 (0.225) Data 0.039 (0.078) Loss 2.7844 (2.5457) Prec@1 42.969 (43.100) Prec@5 67.578 (68.691)
Epoch: [27][3910/5005] Time 0.410 (0.225) Data 0.318 (0.078) Loss 2.4217 (2.5455) Prec@1 40.234 (43.103) Prec@5 71.875 (68.695)
Epoch: [27][3920/5005] Time 0.205 (0.225) Data 0.043 (0.078) Loss 2.5455 (2.5454) Prec@1 45.312 (43.106) Prec@5 68.750 (68.695)
Epoch: [27][3930/5005] Time 0.205 (0.225) Data 0.040 (0.078) Loss 2.4595 (2.5452) Prec@1 42.188 (43.107) Prec@5 69.922 (68.699)
Epoch: [27][3940/5005] Time 0.211 (0.225) Data 0.045 (0.078) Loss 2.4718 (2.5451) Prec@1 41.797 (43.106) Prec@5 69.531 (68.702)
Epoch: [27][3950/5005] Time 0.202 (0.225) Data 0.058 (0.078) Loss 2.3705 (2.5448) Prec@1 43.359 (43.110) Prec@5 72.656 (68.709)
Epoch: [27][3960/5005] Time 0.205 (0.225) Data 0.049 (0.078) Loss 2.4175 (2.5448) Prec@1 43.359 (43.108) Prec@5 70.312 (68.708)
Epoch: [27][3970/5005] Time 0.205 (0.225) Data 0.044 (0.078) Loss 2.5356 (2.5446) Prec@1 42.188 (43.108) Prec@5 69.141 (68.709)
Epoch: [27][3980/5005] Time 0.214 (0.225) Data 0.126 (0.078) Loss 2.2814 (2.5444) Prec@1 46.875 (43.111) Prec@5 72.656 (68.711)
Epoch: [27][3990/5005] Time 0.202 (0.225) Data 0.039 (0.078) Loss 2.5988 (2.5444) Prec@1 44.922 (43.109) Prec@5 68.750 (68.713)
Epoch: [27][4000/5005] Time 0.204 (0.225) Data 0.039 (0.078) Loss 2.3087 (2.5443) Prec@1 46.484 (43.111) Prec@5 71.484 (68.715)
Epoch: [27][4010/5005] Time 0.203 (0.225) Data 0.047 (0.078) Loss 2.4772 (2.5440) Prec@1 41.016 (43.113) Prec@5 71.094 (68.720)
Epoch: [27][4020/5005] Time 0.372 (0.225) Data 0.290 (0.078) Loss 2.5934 (2.5440) Prec@1 41.797 (43.113) Prec@5 68.750 (68.721)
Epoch: [27][4030/5005] Time 0.215 (0.225) Data 0.047 (0.078) Loss 2.6389 (2.5441) Prec@1 44.922 (43.114) Prec@5 64.844 (68.718)
Epoch: [27][4040/5005] Time 0.194 (0.225) Data 0.101 (0.078) Loss 2.5751 (2.5442) Prec@1 41.406 (43.110) Prec@5 65.234 (68.717)
Epoch: [27][4050/5005] Time 0.208 (0.225) Data 0.045 (0.078) Loss 2.7155 (2.5440) Prec@1 39.844 (43.112) Prec@5 64.453 (68.721)
Epoch: [27][4060/5005] Time 0.208 (0.225) Data 0.048 (0.078) Loss 2.4816 (2.5438) Prec@1 42.188 (43.115) Prec@5 69.922 (68.725)
Epoch: [27][4070/5005] Time 0.203 (0.225) Data 0.046 (0.078) Loss 2.7090 (2.5438) Prec@1 39.844 (43.116) Prec@5 68.750 (68.727)
Epoch: [27][4080/5005] Time 0.201 (0.225) Data 0.046 (0.078) Loss 2.4458 (2.5437) Prec@1 44.531 (43.122) Prec@5 70.703 (68.730)
Epoch: [27][4090/5005] Time 0.199 (0.225) Data 0.038 (0.078) Loss 2.6812 (2.5437) Prec@1 42.578 (43.126) Prec@5 67.578 (68.729)
Epoch: [27][4100/5005] Time 0.198 (0.225) Data 0.083 (0.078) Loss 2.4139 (2.5434) Prec@1 44.922 (43.131) Prec@5 70.703 (68.732)
Epoch: [27][4110/5005] Time 0.207 (0.225) Data 0.097 (0.078) Loss 2.7227 (2.5434) Prec@1 39.844 (43.130) Prec@5 67.578 (68.735)
Epoch: [27][4120/5005] Time 0.198 (0.225) Data 0.049 (0.078) Loss 2.5892 (2.5432) Prec@1 39.844 (43.131) Prec@5 71.875 (68.738)
Epoch: [27][4130/5005] Time 0.197 (0.225) Data 0.065 (0.078) Loss 2.6560 (2.5431) Prec@1 40.234 (43.133) Prec@5 64.844 (68.739)
Epoch: [27][4140/5005] Time 0.202 (0.225) Data 0.039 (0.078) Loss 2.6004 (2.5430) Prec@1 38.281 (43.133) Prec@5 67.188 (68.739)
Epoch: [27][4150/5005] Time 0.282 (0.225) Data 0.197 (0.078) Loss 2.7323 (2.5429) Prec@1 41.016 (43.135) Prec@5 66.797 (68.741)
Epoch: [27][4160/5005] Time 0.201 (0.225) Data 0.048 (0.078) Loss 2.4409 (2.5430) Prec@1 47.266 (43.133) Prec@5 70.312 (68.743)
Epoch: [27][4170/5005] Time 0.209 (0.225) Data 0.047 (0.078) Loss 2.4309 (2.5428) Prec@1 45.312 (43.137) Prec@5 70.312 (68.746)
Epoch: [27][4180/5005] Time 0.197 (0.225) Data 0.048 (0.078) Loss 2.3789 (2.5426) Prec@1 47.266 (43.141) Prec@5 70.703 (68.747)
Epoch: [27][4190/5005] Time 0.198 (0.225) Data 0.050 (0.078) Loss 2.3383 (2.5426) Prec@1 42.188 (43.141) Prec@5 71.484 (68.747)
Epoch: [27][4200/5005] Time 0.206 (0.225) Data 0.048 (0.078) Loss 2.3276 (2.5424) Prec@1 46.094 (43.144) Prec@5 70.703 (68.750)
Epoch: [27][4210/5005] Time 0.200 (0.225) Data 0.039 (0.078) Loss 2.4838 (2.5423) Prec@1 42.188 (43.146) Prec@5 71.484 (68.753)
Epoch: [27][4220/5005] Time 0.205 (0.225) Data 0.043 (0.078) Loss 2.6168 (2.5424) Prec@1 39.453 (43.145) Prec@5 67.578 (68.750)
Epoch: [27][4230/5005] Time 0.200 (0.225) Data 0.051 (0.078) Loss 2.6189 (2.5424) Prec@1 37.500 (43.146) Prec@5 68.750 (68.750)
Epoch: [27][4240/5005] Time 0.215 (0.225) Data 0.039 (0.078) Loss 2.3321 (2.5424) Prec@1 45.703 (43.145) Prec@5 73.828 (68.751)
Epoch: [27][4250/5005] Time 0.203 (0.225) Data 0.049 (0.078) Loss 2.4629 (2.5421) Prec@1 46.094 (43.148) Prec@5 69.141 (68.755)
Epoch: [27][4260/5005] Time 0.207 (0.225) Data 0.052 (0.078) Loss 2.5705 (2.5421) Prec@1 41.406 (43.147) Prec@5 66.406 (68.754)
Epoch: [27][4270/5005] Time 0.213 (0.225) Data 0.050 (0.078) Loss 2.7521 (2.5422) Prec@1 39.062 (43.147) Prec@5 66.016 (68.753)
Epoch: [27][4280/5005] Time 0.201 (0.225) Data 0.111 (0.078) Loss 2.6354 (2.5421) Prec@1 41.406 (43.149) Prec@5 67.969 (68.754)
Epoch: [27][4290/5005] Time 0.194 (0.225) Data 0.049 (0.078) Loss 2.6303 (2.5421) Prec@1 42.578 (43.149) Prec@5 67.188 (68.756)
Epoch: [27][4300/5005] Time 0.381 (0.225) Data 0.295 (0.078) Loss 2.3500 (2.5418) Prec@1 45.312 (43.155) Prec@5 71.484 (68.762)
Epoch: [27][4310/5005] Time 0.208 (0.225) Data 0.043 (0.078) Loss 2.4065 (2.5416) Prec@1 47.656 (43.160) Prec@5 71.094 (68.761)
Epoch: [27][4320/5005] Time 0.197 (0.225) Data 0.039 (0.078) Loss 2.4550 (2.5416) Prec@1 44.531 (43.161) Prec@5 72.266 (68.761)
Epoch: [27][4330/5005] Time 0.440 (0.225) Data 0.357 (0.078) Loss 2.3702 (2.5415) Prec@1 42.969 (43.163) Prec@5 72.656 (68.762)
Epoch: [27][4340/5005] Time 0.207 (0.225) Data 0.039 (0.078) Loss 2.5981 (2.5415) Prec@1 40.234 (43.161) Prec@5 68.359 (68.761)
Epoch: [27][4350/5005] Time 0.357 (0.225) Data 0.263 (0.078) Loss 2.5875 (2.5414) Prec@1 43.750 (43.163) Prec@5 69.531 (68.763)
Epoch: [27][4360/5005] Time 0.203 (0.225) Data 0.046 (0.078) Loss 2.3498 (2.5413) Prec@1 44.531 (43.164) Prec@5 72.266 (68.765)
Epoch: [27][4370/5005] Time 0.201 (0.225) Data 0.043 (0.078) Loss 2.3775 (2.5413) Prec@1 42.969 (43.166) Prec@5 72.266 (68.767)
Epoch: [27][4380/5005] Time 0.195 (0.225) Data 0.050 (0.078) Loss 2.4851 (2.5411) Prec@1 42.578 (43.165) Prec@5 68.750 (68.770)
Epoch: [27][4390/5005] Time 0.202 (0.225) Data 0.042 (0.079) Loss 2.5330 (2.5409) Prec@1 45.312 (43.171) Prec@5 67.578 (68.772)
Epoch: [27][4400/5005] Time 0.201 (0.225) Data 0.047 (0.078) Loss 2.4611 (2.5408) Prec@1 44.531 (43.172) Prec@5 69.141 (68.772)
Epoch: [27][4410/5005] Time 0.202 (0.225) Data 0.089 (0.078) Loss 2.4813 (2.5406) Prec@1 42.578 (43.174) Prec@5 72.656 (68.775)
Epoch: [27][4420/5005] Time 0.204 (0.225) Data 0.043 (0.078) Loss 2.2005 (2.5405) Prec@1 52.734 (43.175) Prec@5 71.875 (68.779)
Epoch: [27][4430/5005] Time 0.296 (0.225) Data 0.207 (0.078) Loss 2.6779 (2.5402) Prec@1 37.500 (43.182) Prec@5 65.234 (68.782)
Epoch: [27][4440/5005] Time 0.202 (0.225) Data 0.044 (0.078) Loss 2.6258 (2.5402) Prec@1 41.797 (43.183) Prec@5 70.312 (68.782)
Epoch: [27][4450/5005] Time 0.202 (0.225) Data 0.043 (0.078) Loss 2.4062 (2.5401) Prec@1 45.312 (43.185) Prec@5 70.312 (68.782)
Epoch: [27][4460/5005] Time 0.203 (0.225) Data 0.041 (0.078) Loss 2.6430 (2.5400) Prec@1 40.234 (43.186) Prec@5 69.922 (68.785)
Epoch: [27][4470/5005] Time 0.201 (0.225) Data 0.047 (0.078) Loss 2.3605 (2.5401) Prec@1 47.266 (43.186) Prec@5 73.828 (68.786)
Epoch: [27][4480/5005] Time 0.211 (0.225) Data 0.040 (0.078) Loss 2.3019 (2.5402) Prec@1 49.219 (43.185) Prec@5 70.312 (68.783)
Epoch: [27][4490/5005] Time 0.201 (0.225) Data 0.056 (0.078) Loss 2.5058 (2.5402) Prec@1 41.406 (43.183) Prec@5 69.922 (68.781)
Epoch: [27][4500/5005] Time 0.248 (0.225) Data 0.158 (0.078) Loss 2.4602 (2.5401) Prec@1 46.094 (43.187) Prec@5 71.484 (68.786)
Epoch: [27][4510/5005] Time 0.210 (0.225) Data 0.055 (0.078) Loss 2.2013 (2.5400) Prec@1 48.828 (43.189) Prec@5 73.438 (68.789)
Epoch: [27][4520/5005] Time 0.232 (0.225) Data 0.149 (0.079) Loss 2.4043 (2.5398) Prec@1 45.703 (43.193) Prec@5 73.438 (68.795)
Epoch: [27][4530/5005] Time 0.403 (0.225) Data 0.309 (0.079) Loss 2.4411 (2.5397) Prec@1 44.141 (43.194) Prec@5 72.266 (68.797)
Epoch: [27][4540/5005] Time 0.197 (0.225) Data 0.051 (0.079) Loss 2.6146 (2.5398) Prec@1 45.703 (43.190) Prec@5 69.141 (68.794)
Epoch: [27][4550/5005] Time 0.200 (0.225) Data 0.041 (0.079) Loss 2.5089 (2.5397) Prec@1 44.531 (43.191) Prec@5 67.578 (68.795)
Epoch: [27][4560/5005] Time 0.204 (0.225) Data 0.045 (0.079) Loss 2.5458 (2.5396) Prec@1 44.141 (43.192) Prec@5 69.922 (68.798)
Epoch: [27][4570/5005] Time 0.205 (0.225) Data 0.047 (0.079) Loss 2.5480 (2.5395) Prec@1 42.969 (43.194) Prec@5 67.578 (68.800)
Epoch: [27][4580/5005] Time 0.204 (0.225) Data 0.065 (0.079) Loss 2.6090 (2.5393) Prec@1 39.062 (43.197) Prec@5 64.062 (68.803)
Epoch: [27][4590/5005] Time 0.206 (0.225) Data 0.040 (0.079) Loss 2.3498 (2.5392) Prec@1 48.047 (43.199) Prec@5 72.656 (68.803)
Epoch: [27][4600/5005] Time 0.209 (0.225) Data 0.044 (0.079) Loss 2.3110 (2.5391) Prec@1 51.562 (43.199) Prec@5 71.094 (68.804)
Epoch: [27][4610/5005] Time 0.206 (0.225) Data 0.067 (0.079) Loss 2.3000 (2.5390) Prec@1 44.141 (43.202) Prec@5 69.922 (68.805)
Epoch: [27][4620/5005] Time 0.204 (0.225) Data 0.049 (0.079) Loss 2.4714 (2.5389) Prec@1 48.047 (43.205) Prec@5 68.750 (68.804)
Epoch: [27][4630/5005] Time 0.209 (0.225) Data 0.055 (0.079) Loss 2.1955 (2.5386) Prec@1 48.438 (43.210) Prec@5 75.391 (68.809)
Epoch: [27][4640/5005] Time 0.426 (0.225) Data 0.345 (0.079) Loss 2.5086 (2.5385) Prec@1 45.703 (43.211) Prec@5 71.484 (68.810)
Epoch: [27][4650/5005] Time 0.190 (0.225) Data 0.046 (0.079) Loss 2.5465 (2.5383) Prec@1 39.453 (43.211) Prec@5 68.359 (68.814)
Epoch: [27][4660/5005] Time 0.195 (0.225) Data 0.059 (0.079) Loss 2.8066 (2.5382) Prec@1 39.062 (43.213) Prec@5 63.281 (68.815)
Epoch: [27][4670/5005] Time 0.204 (0.225) Data 0.040 (0.079) Loss 2.4945 (2.5380) Prec@1 45.703 (43.218) Prec@5 69.141 (68.818)
Epoch: [27][4680/5005] Time 0.201 (0.225) Data 0.050 (0.079) Loss 2.3778 (2.5379) Prec@1 46.094 (43.219) Prec@5 72.266 (68.820)
Epoch: [27][4690/5005] Time 0.198 (0.225) Data 0.048 (0.079) Loss 2.5126 (2.5379) Prec@1 44.922 (43.219) Prec@5 69.922 (68.822)
Epoch: [27][4700/5005] Time 0.216 (0.225) Data 0.042 (0.079) Loss 2.3480 (2.5378) Prec@1 44.922 (43.224) Prec@5 71.484 (68.825)
Epoch: [27][4710/5005] Time 0.206 (0.225) Data 0.040 (0.079) Loss 2.4552 (2.5375) Prec@1 44.141 (43.229) Prec@5 68.750 (68.828)
Epoch: [27][4720/5005] Time 0.200 (0.225) Data 0.046 (0.079) Loss 2.3206 (2.5374) Prec@1 45.703 (43.231) Prec@5 70.703 (68.831)
Epoch: [27][4730/5005] Time 0.197 (0.225) Data 0.053 (0.079) Loss 2.5063 (2.5373) Prec@1 42.969 (43.230) Prec@5 70.703 (68.831)
Epoch: [27][4740/5005] Time 0.199 (0.225) Data 0.060 (0.079) Loss 2.4150 (2.5371) Prec@1 42.969 (43.234) Prec@5 71.094 (68.836)
Epoch: [27][4750/5005] Time 0.205 (0.225) Data 0.047 (0.079) Loss 2.3960 (2.5368) Prec@1 46.484 (43.237) Prec@5 68.750 (68.839)
Epoch: [27][4760/5005] Time 0.205 (0.225) Data 0.049 (0.079) Loss 2.7736 (2.5367) Prec@1 39.062 (43.239) Prec@5 66.797 (68.840)
Epoch: [27][4770/5005] Time 0.207 (0.225) Data 0.047 (0.079) Loss 2.3605 (2.5366) Prec@1 46.484 (43.239) Prec@5 73.438 (68.842)
Epoch: [27][4780/5005] Time 0.205 (0.225) Data 0.077 (0.079) Loss 2.6742 (2.5365) Prec@1 38.281 (43.240) Prec@5 64.453 (68.843)
Epoch: [27][4790/5005] Time 0.468 (0.225) Data 0.390 (0.079) Loss 2.8420 (2.5365) Prec@1 37.891 (43.242) Prec@5 63.672 (68.843)
Epoch: [27][4800/5005] Time 0.197 (0.225) Data 0.051 (0.079) Loss 2.6659 (2.5363) Prec@1 41.016 (43.241) Prec@5 66.016 (68.845)
Epoch: [27][4810/5005] Time 0.204 (0.225) Data 0.050 (0.079) Loss 2.5745 (2.5362) Prec@1 43.359 (43.241) Prec@5 67.188 (68.846)
Epoch: [27][4820/5005] Time 0.194 (0.225) Data 0.046 (0.079) Loss 2.7362 (2.5360) Prec@1 39.453 (43.246) Prec@5 65.234 (68.850)
Epoch: [27][4830/5005] Time 0.208 (0.225) Data 0.050 (0.079) Loss 2.6407 (2.5359) Prec@1 43.750 (43.249) Prec@5 66.016 (68.852)
Epoch: [27][4840/5005] Time 0.292 (0.225) Data 0.217 (0.079) Loss 2.1772 (2.5357) Prec@1 52.344 (43.249) Prec@5 74.609 (68.856)
Epoch: [27][4850/5005] Time 0.207 (0.225) Data 0.042 (0.079) Loss 2.6012 (2.5358) Prec@1 40.625 (43.247) Prec@5 67.969 (68.854)
Epoch: [27][4860/5005] Time 0.198 (0.225) Data 0.045 (0.079) Loss 2.5177 (2.5357) Prec@1 44.531 (43.248) Prec@5 67.578 (68.855)
Epoch: [27][4870/5005] Time 0.203 (0.225) Data 0.091 (0.079) Loss 2.3525 (2.5357) Prec@1 49.609 (43.248) Prec@5 72.266 (68.857)
Epoch: [27][4880/5005] Time 0.192 (0.225) Data 0.047 (0.079) Loss 2.3875 (2.5355) Prec@1 44.141 (43.252) Prec@5 69.141 (68.860)
Epoch: [27][4890/5005] Time 0.202 (0.225) Data 0.044 (0.079) Loss 2.4723 (2.5354) Prec@1 43.359 (43.253) Prec@5 70.703 (68.861)
Epoch: [27][4900/5005] Time 0.288 (0.225) Data 0.199 (0.079) Loss 2.3245 (2.5352) Prec@1 47.266 (43.256) Prec@5 72.656 (68.864)
Epoch: [27][4910/5005] Time 0.196 (0.225) Data 0.086 (0.079) Loss 2.5867 (2.5350) Prec@1 44.141 (43.258) Prec@5 71.484 (68.867)
Epoch: [27][4920/5005] Time 0.207 (0.225) Data 0.049 (0.079) Loss 2.3660 (2.5347) Prec@1 45.312 (43.263) Prec@5 72.656 (68.871)
Epoch: [27][4930/5005] Time 0.203 (0.225) Data 0.049 (0.079) Loss 2.5945 (2.5345) Prec@1 42.578 (43.265) Prec@5 69.141 (68.876)
Epoch: [27][4940/5005] Time 0.205 (0.225) Data 0.040 (0.079) Loss 2.4385 (2.5345) Prec@1 46.875 (43.267) Prec@5 70.312 (68.877)
Epoch: [27][4950/5005] Time 0.466 (0.225) Data 0.378 (0.079) Loss 2.1143 (2.5344) Prec@1 47.266 (43.270) Prec@5 76.172 (68.880)
Epoch: [27][4960/5005] Time 0.188 (0.225) Data 0.063 (0.079) Loss 2.5747 (2.5343) Prec@1 42.578 (43.272) Prec@5 71.094 (68.883)
Epoch: [27][4970/5005] Time 0.205 (0.225) Data 0.041 (0.079) Loss 2.6041 (2.5341) Prec@1 38.672 (43.275) Prec@5 67.969 (68.885)
Epoch: [27][4980/5005] Time 0.203 (0.225) Data 0.045 (0.079) Loss 2.4763 (2.5340) Prec@1 45.312 (43.279) Prec@5 69.141 (68.890)
Epoch: [27][4990/5005] Time 0.448 (0.225) Data 0.362 (0.079) Loss 2.5213 (2.5338) Prec@1 37.891 (43.281) Prec@5 70.312 (68.892)
Epoch: [27][5000/5005] Time 0.203 (0.225) Data 0.029 (0.079) Loss 2.7028 (2.5338) Prec@1 39.062 (43.279) Prec@5 68.750 (68.892)
Test: [0/196] Time 2.856 (2.856) Loss 2.5576 (2.5576) Prec@1 46.094 (46.094) Prec@5 66.797 (66.797)
Test: [10/196] Time 0.588 (0.442) Loss 2.6059 (2.6892) Prec@1 44.922 (41.442) Prec@5 68.359 (67.507)
Test: [20/196] Time 0.115 (0.303) Loss 2.6689 (2.6978) Prec@1 43.359 (41.313) Prec@5 67.578 (67.039)
Test: [30/196] Time 0.043 (0.273) Loss 2.5522 (2.7027) Prec@1 41.406 (41.016) Prec@5 68.750 (66.759)
Test: [40/196] Time 0.087 (0.270) Loss 2.4447 (2.7034) Prec@1 48.438 (40.997) Prec@5 70.703 (66.616)
Test: [50/196] Time 0.042 (0.270) Loss 2.8077 (2.7093) Prec@1 39.844 (41.054) Prec@5 67.188 (66.414)
Test: [60/196] Time 0.042 (0.255) Loss 2.6202 (2.6947) Prec@1 44.141 (41.329) Prec@5 67.969 (66.810)
Test: [70/196] Time 0.237 (0.252) Loss 2.6280 (2.6874) Prec@1 45.703 (41.544) Prec@5 66.406 (66.896)
Test: [80/196] Time 0.202 (0.247) Loss 2.5813 (2.6920) Prec@1 44.922 (41.498) Prec@5 72.656 (66.869)
Test: [90/196] Time 0.235 (0.244) Loss 2.7889 (2.6948) Prec@1 41.797 (41.458) Prec@5 65.625 (66.844)
Test: [100/196] Time 0.043 (0.243) Loss 2.7144 (2.6903) Prec@1 42.578 (41.619) Prec@5 66.406 (66.936)
Test: [110/196] Time 0.043 (0.240) Loss 2.9167 (2.6935) Prec@1 37.109 (41.614) Prec@5 61.719 (66.892)
Test: [120/196] Time 0.208 (0.238) Loss 2.4942 (2.6904) Prec@1 42.188 (41.635) Prec@5 71.484 (66.897)
Test: [130/196] Time 0.766 (0.239) Loss 2.4242 (2.6879) Prec@1 42.578 (41.639) Prec@5 73.828 (66.961)
Test: [140/196] Time 0.046 (0.237) Loss 2.4896 (2.6886) Prec@1 42.969 (41.595) Prec@5 68.359 (66.922)
Test: [150/196] Time 0.058 (0.235) Loss 2.2409 (2.6851) Prec@1 46.875 (41.670) Prec@5 76.172 (66.993)
Test: [160/196] Time 0.243 (0.235) Loss 2.6216 (2.6830) Prec@1 44.922 (41.724) Prec@5 68.750 (67.027)
Test: [170/196] Time 0.042 (0.233) Loss 2.5068 (2.6836) Prec@1 42.578 (41.719) Prec@5 70.703 (67.014)
Test: [180/196] Time 0.141 (0.236) Loss 2.8691 (2.6877) Prec@1 36.719 (41.674) Prec@5 65.625 (66.972)
Test: [190/196] Time 0.180 (0.234) Loss 2.9315 (2.6911) Prec@1 37.891 (41.619) Prec@5 61.719 (66.838)
* Prec@1 41.590 Prec@5 66.804
Learning rate: 0.0001
Epoch: [28][0/5005] Time 2.075 (2.075) Data 1.975 (1.975) Loss 2.4329 (2.4329) Prec@1 44.531 (44.531) Prec@5 70.703 (70.703)
Epoch: [28][10/5005] Time 0.201 (0.384) Data 0.051 (0.246) Loss 2.4598 (2.5330) Prec@1 47.266 (43.359) Prec@5 69.531 (69.105)
Epoch: [28][20/5005] Time 0.200 (0.296) Data 0.045 (0.151) Loss 2.7122 (2.5620) Prec@1 37.500 (42.560) Prec@5 67.188 (68.378)
Epoch: [28][30/5005] Time 0.203 (0.265) Data 0.043 (0.116) Loss 2.3779 (2.5224) Prec@1 46.484 (42.981) Prec@5 71.875 (69.065)
Epoch: [28][40/5005] Time 0.201 (0.249) Data 0.040 (0.098) Loss 2.5207 (2.5439) Prec@1 44.922 (42.740) Prec@5 69.531 (68.674)
Epoch: [28][50/5005] Time 0.194 (0.240) Data 0.043 (0.087) Loss 2.4109 (2.5448) Prec@1 42.578 (42.517) Prec@5 73.047 (68.719)
Epoch: [28][60/5005] Time 0.191 (0.234) Data 0.044 (0.080) Loss 2.4389 (2.5411) Prec@1 44.531 (42.751) Prec@5 71.875 (68.846)
Epoch: [28][70/5005] Time 0.202 (0.232) Data 0.042 (0.076) Loss 2.4832 (2.5543) Prec@1 43.750 (42.809) Prec@5 68.359 (68.563)
Epoch: [28][80/5005] Time 0.203 (0.228) Data 0.044 (0.072) Loss 2.4170 (2.5508) Prec@1 44.531 (42.843) Prec@5 70.312 (68.668)
Epoch: [28][90/5005] Time 0.205 (0.225) Data 0.040 (0.069) Loss 2.6552 (2.5472) Prec@1 39.844 (42.900) Prec@5 68.750 (68.832)
Epoch: [28][100/5005] Time 0.193 (0.223) Data 0.041 (0.066) Loss 2.3699 (2.5497) Prec@1 46.875 (43.050) Prec@5 69.531 (68.707)
Epoch: [28][110/5005] Time 0.201 (0.221) Data 0.040 (0.064) Loss 2.6659 (2.5513) Prec@1 41.797 (43.124) Prec@5 65.625 (68.613)
Epoch: [28][120/5005] Time 0.200 (0.219) Data 0.043 (0.063) Loss 2.5403 (2.5556) Prec@1 39.062 (43.011) Prec@5 67.969 (68.521)
Epoch: [28][130/5005] Time 0.210 (0.225) Data 0.042 (0.062) Loss 2.6322 (2.5530) Prec@1 44.141 (43.037) Prec@5 66.016 (68.565)
Epoch: [28][140/5005] Time 0.198 (0.223) Data 0.042 (0.060) Loss 2.5246 (2.5532) Prec@1 46.094 (42.996) Prec@5 66.797 (68.553)
Epoch: [28][150/5005] Time 0.192 (0.222) Data 0.047 (0.060) Loss 2.5979 (2.5556) Prec@1 39.844 (42.920) Prec@5 67.578 (68.499)
Epoch: [28][160/5005] Time 0.195 (0.222) Data 0.044 (0.062) Loss 2.4024 (2.5567) Prec@1 40.234 (42.901) Prec@5 69.141 (68.456)
Epoch: [28][170/5005] Time 0.196 (0.222) Data 0.092 (0.064) Loss 2.5625 (2.5565) Prec@1 47.266 (42.918) Prec@5 67.578 (68.439)
Epoch: [28][180/5005] Time 0.718 (0.226) Data 0.628 (0.070) Loss 2.7183 (2.5577) Prec@1 42.578 (42.936) Prec@5 64.844 (68.409)
Epoch: [28][190/5005] Time 0.222 (0.226) Data 0.046 (0.070) Loss 2.6112 (2.5615) Prec@1 40.625 (42.826) Prec@5 66.016 (68.327)
Epoch: [28][200/5005] Time 0.212 (0.227) Data 0.059 (0.072) Loss 2.7534 (2.5621) Prec@1 37.109 (42.765) Prec@5 66.406 (68.330)
Epoch: [28][210/5005] Time 0.223 (0.227) Data 0.134 (0.071) Loss 2.3686 (2.5620) Prec@1 44.922 (42.763) Prec@5 71.875 (68.359)
Epoch: [28][220/5005] Time 0.203 (0.228) Data 0.062 (0.073) Loss 2.6393 (2.5618) Prec@1 41.016 (42.767) Prec@5 67.578 (68.352)
Epoch: [28][230/5005] Time 0.202 (0.227) Data 0.109 (0.073) Loss 2.5393 (2.5610) Prec@1 41.797 (42.830) Prec@5 69.922 (68.385)
Epoch: [28][240/5005] Time 0.211 (0.228) Data 0.047 (0.074) Loss 2.4039 (2.5593) Prec@1 45.703 (42.839) Prec@5 73.047 (68.384)
Epoch: [28][250/5005] Time 0.198 (0.228) Data 0.096 (0.075) Loss 2.6575 (2.5573) Prec@1 39.453 (42.866) Prec@5 67.188 (68.415)
Epoch: [28][260/5005] Time 0.196 (0.229) Data 0.054 (0.077) Loss 2.3897 (2.5585) Prec@1 44.141 (42.842) Prec@5 71.094 (68.416)
Epoch: [28][270/5005] Time 0.204 (0.229) Data 0.048 (0.077) Loss 2.5041 (2.5577) Prec@1 45.312 (42.839) Prec@5 67.578 (68.463)
Epoch: [28][280/5005] Time 0.208 (0.230) Data 0.119 (0.079) Loss 2.9049 (2.5619) Prec@1 37.500 (42.795) Prec@5 62.109 (68.369)
Epoch: [28][290/5005] Time 0.224 (0.230) Data 0.137 (0.080) Loss 2.3958 (2.5638) Prec@1 45.703 (42.751) Prec@5 69.922 (68.314)
Epoch: [28][300/5005] Time 0.227 (0.231) Data 0.145 (0.082) Loss 2.4361 (2.5635) Prec@1 42.969 (42.759) Prec@5 69.141 (68.306)
Epoch: [28][310/5005] Time 0.205 (0.231) Data 0.046 (0.082) Loss 2.5172 (2.5605) Prec@1 42.969 (42.824) Prec@5 68.359 (68.376)
Epoch: [28][320/5005] Time 0.213 (0.233) Data 0.042 (0.084) Loss 2.8707 (2.5621) Prec@1 37.891 (42.848) Prec@5 64.453 (68.379)
Epoch: [28][330/5005] Time 0.200 (0.234) Data 0.060 (0.083) Loss 2.2717 (2.5592) Prec@1 46.875 (42.871) Prec@5 75.781 (68.431)
Epoch: [28][340/5005] Time 0.210 (0.233) Data 0.050 (0.082) Loss 2.7494 (2.5627) Prec@1 41.016 (42.830) Prec@5 66.797 (68.380)
Epoch: [28][350/5005] Time 0.219 (0.232) Data 0.073 (0.082) Loss 2.6885 (2.5615) Prec@1 40.234 (42.872) Prec@5 64.844 (68.367)
Epoch: [28][360/5005] Time 0.213 (0.232) Data 0.045 (0.082) Loss 2.6845 (2.5615) Prec@1 41.797 (42.878) Prec@5 64.062 (68.334)
Epoch: [28][370/5005] Time 0.207 (0.232) Data 0.052 (0.081) Loss 2.6401 (2.5597) Prec@1 40.625 (42.874) Prec@5 65.625 (68.354)
Epoch: [28][380/5005] Time 0.208 (0.231) Data 0.057 (0.080) Loss 2.7724 (2.5610) Prec@1 41.797 (42.843) Prec@5 67.188 (68.357)
Epoch: [28][390/5005] Time 0.212 (0.231) Data 0.044 (0.079) Loss 2.4877 (2.5615) Prec@1 43.359 (42.838) Prec@5 72.266 (68.369)
Epoch: [28][400/5005] Time 0.208 (0.230) Data 0.047 (0.078) Loss 2.4633 (2.5608) Prec@1 44.141 (42.812) Prec@5 72.266 (68.400)
Epoch: [28][410/5005] Time 0.216 (0.230) Data 0.045 (0.078) Loss 2.3640 (2.5606) Prec@1 41.406 (42.799) Prec@5 73.438 (68.399)
Epoch: [28][420/5005] Time 0.210 (0.230) Data 0.045 (0.077) Loss 2.4008 (2.5598) Prec@1 45.703 (42.839) Prec@5 69.922 (68.430)
Epoch: [28][430/5005] Time 0.220 (0.229) Data 0.043 (0.076) Loss 2.3786 (2.5598) Prec@1 45.312 (42.836) Prec@5 75.000 (68.427)
Epoch: [28][440/5005] Time 0.218 (0.229) Data 0.045 (0.076) Loss 2.4020 (2.5596) Prec@1 48.047 (42.831) Prec@5 69.531 (68.432)
Epoch: [28][450/5005] Time 0.218 (0.228) Data 0.045 (0.075) Loss 2.2875 (2.5595) Prec@1 49.609 (42.829) Prec@5 73.047 (68.449)
Epoch: [28][460/5005] Time 0.210 (0.228) Data 0.041 (0.074) Loss 2.6415 (2.5601) Prec@1 43.750 (42.809) Prec@5 67.969 (68.447)
Epoch: [28][470/5005] Time 0.211 (0.228) Data 0.043 (0.074) Loss 2.6082 (2.5611) Prec@1 39.453 (42.774) Prec@5 68.359 (68.425)
Epoch: [28][480/5005] Time 0.217 (0.228) Data 0.043 (0.073) Loss 2.6560 (2.5612) Prec@1 38.672 (42.771) Prec@5 69.922 (68.437)
Epoch: [28][490/5005] Time 0.222 (0.227) Data 0.046 (0.072) Loss 2.5547 (2.5608) Prec@1 44.531 (42.781) Prec@5 67.578 (68.440)
Epoch: [28][500/5005] Time 0.208 (0.227) Data 0.044 (0.072) Loss 2.8642 (2.5636) Prec@1 39.453 (42.739) Prec@5 60.938 (68.387)
Epoch: [28][510/5005] Time 0.212 (0.227) Data 0.041 (0.071) Loss 2.8092 (2.5644) Prec@1 41.797 (42.721) Prec@5 61.328 (68.370)
Epoch: [28][520/5005] Time 0.208 (0.226) Data 0.043 (0.071) Loss 2.5396 (2.5643) Prec@1 45.703 (42.725) Prec@5 70.312 (68.375)
Epoch: [28][530/5005] Time 0.209 (0.226) Data 0.043 (0.070) Loss 2.5094 (2.5635) Prec@1 44.531 (42.713) Prec@5 69.922 (68.383)
Epoch: [28][540/5005] Time 0.207 (0.226) Data 0.042 (0.070) Loss 2.7381 (2.5648) Prec@1 39.844 (42.697) Prec@5 64.062 (68.354)
Epoch: [28][550/5005] Time 0.216 (0.226) Data 0.045 (0.069) Loss 2.4975 (2.5638) Prec@1 43.359 (42.710) Prec@5 72.656 (68.362)
Epoch: [28][560/5005] Time 0.207 (0.225) Data 0.045 (0.069) Loss 2.6033 (2.5634) Prec@1 41.406 (42.723) Prec@5 71.094 (68.380)
Epoch: [28][570/5005] Time 0.210 (0.225) Data 0.041 (0.068) Loss 2.5795 (2.5637) Prec@1 40.234 (42.702) Prec@5 67.578 (68.372)
Epoch: [28][580/5005] Time 0.210 (0.225) Data 0.042 (0.068) Loss 2.5020 (2.5628) Prec@1 41.016 (42.722) Prec@5 69.141 (68.380)
Epoch: [28][590/5005] Time 0.207 (0.225) Data 0.039 (0.068) Loss 2.6646 (2.5628) Prec@1 44.141 (42.718) Prec@5 65.234 (68.376)
Epoch: [28][600/5005] Time 0.211 (0.225) Data 0.044 (0.067) Loss 2.5231 (2.5637) Prec@1 46.484 (42.702) Prec@5 68.359 (68.367)
Epoch: [28][610/5005] Time 0.211 (0.224) Data 0.040 (0.067) Loss 2.5478 (2.5637) Prec@1 41.406 (42.697) Prec@5 69.141 (68.376)
Epoch: [28][620/5005] Time 0.210 (0.224) Data 0.041 (0.066) Loss 2.5181 (2.5638) Prec@1 44.531 (42.710) Prec@5 70.312 (68.378)
Epoch: [28][630/5005] Time 0.217 (0.224) Data 0.042 (0.066) Loss 2.7925 (2.5641) Prec@1 40.625 (42.706) Prec@5 66.797 (68.361)
Epoch: [28][640/5005] Time 0.216 (0.224) Data 0.044 (0.066) Loss 2.3970 (2.5641) Prec@1 43.359 (42.707) Prec@5 69.141 (68.371)
Epoch: [28][650/5005] Time 0.217 (0.224) Data 0.043 (0.065) Loss 2.6438 (2.5648) Prec@1 39.844 (42.690) Prec@5 66.016 (68.365)
Epoch: [28][660/5005] Time 0.217 (0.224) Data 0.043 (0.065) Loss 2.6885 (2.5637) Prec@1 41.016 (42.721) Prec@5 67.969 (68.387)
Epoch: [28][670/5005] Time 0.215 (0.223) Data 0.044 (0.065) Loss 2.7890 (2.5634) Prec@1 42.188 (42.716) Prec@5 65.234 (68.387)
Epoch: [28][680/5005] Time 0.217 (0.223) Data 0.043 (0.064) Loss 2.5029 (2.5634) Prec@1 42.578 (42.713) Prec@5 69.141 (68.381)
Epoch: [28][690/5005] Time 0.214 (0.223) Data 0.043 (0.064) Loss 2.4239 (2.5628) Prec@1 42.578 (42.723) Prec@5 73.047 (68.405)
Epoch: [28][700/5005] Time 0.210 (0.223) Data 0.041 (0.064) Loss 2.5066 (2.5620) Prec@1 42.188 (42.744) Prec@5 65.625 (68.396)
Epoch: [28][710/5005] Time 0.200 (0.223) Data 0.043 (0.063) Loss 2.3199 (2.5613) Prec@1 46.094 (42.748) Prec@5 74.609 (68.410)
Epoch: [28][720/5005] Time 0.220 (0.223) Data 0.043 (0.063) Loss 2.5317 (2.5603) Prec@1 38.281 (42.760) Prec@5 70.703 (68.428)
Epoch: [28][730/5005] Time 0.214 (0.223) Data 0.044 (0.063) Loss 2.6321 (2.5605) Prec@1 45.312 (42.766) Prec@5 68.359 (68.424)
Epoch: [28][740/5005] Time 0.215 (0.222) Data 0.049 (0.063) Loss 2.5160 (2.5604) Prec@1 43.359 (42.763) Prec@5 69.531 (68.425)
Epoch: [28][750/5005] Time 0.214 (0.222) Data 0.042 (0.062) Loss 2.3428 (2.5599) Prec@1 48.438 (42.777) Prec@5 71.094 (68.443)
Epoch: [28][760/5005] Time 0.207 (0.222) Data 0.047 (0.062) Loss 2.6163 (2.5599) Prec@1 39.062 (42.770) Prec@5 68.359 (68.435)
Epoch: [28][770/5005] Time 0.210 (0.222) Data 0.047 (0.062) Loss 2.6074 (2.5590) Prec@1 40.625 (42.783) Prec@5 64.844 (68.460)
Epoch: [28][780/5005] Time 0.215 (0.222) Data 0.049 (0.062) Loss 2.6586 (2.5586) Prec@1 40.625 (42.795) Prec@5 66.016 (68.456)
Epoch: [28][790/5005] Time 0.208 (0.222) Data 0.049 (0.062) Loss 2.3832 (2.5585) Prec@1 45.312 (42.805) Prec@5 70.312 (68.461)
Epoch: [28][800/5005] Time 0.200 (0.222) Data 0.047 (0.062) Loss 2.4731 (2.5577) Prec@1 45.312 (42.831) Prec@5 71.094 (68.468)
Epoch: [28][810/5005] Time 0.204 (0.222) Data 0.046 (0.062) Loss 2.6567 (2.5579) Prec@1 40.625 (42.833) Prec@5 66.406 (68.465)
Epoch: [28][820/5005] Time 0.205 (0.222) Data 0.047 (0.062) Loss 2.7160 (2.5582) Prec@1 42.969 (42.824) Prec@5 66.016 (68.469)
Epoch: [28][830/5005] Time 0.211 (0.222) Data 0.046 (0.063) Loss 2.4660 (2.5581) Prec@1 46.094 (42.823) Prec@5 73.828 (68.474)
Epoch: [28][840/5005] Time 0.296 (0.222) Data 0.209 (0.063) Loss 2.4727 (2.5583) Prec@1 46.484 (42.831) Prec@5 67.578 (68.474)
Epoch: [28][850/5005] Time 0.205 (0.222) Data 0.046 (0.064) Loss 2.7487 (2.5579) Prec@1 39.062 (42.846) Prec@5 65.234 (68.478)
Epoch: [28][860/5005] Time 0.207 (0.222) Data 0.043 (0.064) Loss 2.5767 (2.5583) Prec@1 41.406 (42.842) Prec@5 68.750 (68.474)
Epoch: [28][870/5005] Time 0.213 (0.223) Data 0.131 (0.064) Loss 2.4938 (2.5568) Prec@1 42.188 (42.875) Prec@5 66.797 (68.496)
Epoch: [28][880/5005] Time 0.198 (0.223) Data 0.044 (0.065) Loss 2.5161 (2.5570) Prec@1 40.234 (42.859) Prec@5 67.969 (68.492)
Epoch: [28][890/5005] Time 0.197 (0.223) Data 0.047 (0.065) Loss 2.8329 (2.5564) Prec@1 37.891 (42.856) Prec@5 64.453 (68.506)
Epoch: [28][900/5005] Time 0.222 (0.223) Data 0.131 (0.065) Loss 2.4957 (2.5556) Prec@1 44.531 (42.864) Prec@5 69.141 (68.525)
Epoch: [28][910/5005] Time 0.207 (0.223) Data 0.046 (0.065) Loss 2.5122 (2.5556) Prec@1 41.797 (42.860) Prec@5 68.750 (68.523)
Epoch: [28][920/5005] Time 0.196 (0.223) Data 0.062 (0.065) Loss 2.6472 (2.5550) Prec@1 40.234 (42.869) Prec@5 68.359 (68.535)
Epoch: [28][930/5005] Time 0.207 (0.223) Data 0.041 (0.065) Loss 2.5108 (2.5547) Prec@1 44.141 (42.880) Prec@5 65.625 (68.535)
Epoch: [28][940/5005] Time 0.534 (0.224) Data 0.452 (0.066) Loss 2.4040 (2.5548) Prec@1 45.703 (42.880) Prec@5 68.359 (68.531)
Epoch: [28][950/5005] Time 0.206 (0.225) Data 0.043 (0.067) Loss 2.5795 (2.5554) Prec@1 45.703 (42.889) Prec@5 68.750 (68.523)
Epoch: [28][960/5005] Time 0.195 (0.225) Data 0.117 (0.066) Loss 2.8157 (2.5558) Prec@1 39.453 (42.875) Prec@5 63.672 (68.526)
Epoch: [28][970/5005] Time 0.203 (0.225) Data 0.045 (0.067) Loss 2.4566 (2.5558) Prec@1 44.922 (42.867) Prec@5 69.922 (68.522)
Epoch: [28][980/5005] Time 0.198 (0.225) Data 0.070 (0.067) Loss 2.5094 (2.5550) Prec@1 42.578 (42.875) Prec@5 69.141 (68.531)
Epoch: [28][990/5005] Time 0.205 (0.225) Data 0.051 (0.067) Loss 2.6508 (2.5557) Prec@1 43.359 (42.865) Prec@5 66.797 (68.516)
Epoch: [28][1000/5005] Time 0.213 (0.225) Data 0.041 (0.067) Loss 2.4822 (2.5553) Prec@1 44.141 (42.859) Prec@5 70.312 (68.524)
Epoch: [28][1010/5005] Time 0.210 (0.225) Data 0.044 (0.067) Loss 2.4978 (2.5550) Prec@1 43.359 (42.873) Prec@5 71.094 (68.527)
Epoch: [28][1020/5005] Time 0.214 (0.225) Data 0.041 (0.066) Loss 2.2904 (2.5553) Prec@1 51.953 (42.870) Prec@5 73.438 (68.514)
Epoch: [28][1030/5005] Time 0.213 (0.225) Data 0.043 (0.066) Loss 2.3772 (2.5545) Prec@1 47.656 (42.886) Prec@5 70.703 (68.532)
Epoch: [28][1040/5005] Time 0.216 (0.224) Data 0.041 (0.066) Loss 2.6558 (2.5546) Prec@1 41.406 (42.876) Prec@5 66.016 (68.531)
Epoch: [28][1050/5005] Time 0.213 (0.224) Data 0.044 (0.066) Loss 2.7979 (2.5550) Prec@1 37.891 (42.855) Prec@5 64.844 (68.525)
Epoch: [28][1060/5005] Time 0.207 (0.224) Data 0.044 (0.066) Loss 2.6088 (2.5553) Prec@1 40.625 (42.858) Prec@5 69.531 (68.532)
Epoch: [28][1070/5005] Time 0.217 (0.224) Data 0.043 (0.065) Loss 2.5736 (2.5549) Prec@1 43.359 (42.877) Prec@5 66.016 (68.529)
Epoch: [28][1080/5005] Time 0.214 (0.224) Data 0.044 (0.065) Loss 2.6570 (2.5551) Prec@1 41.406 (42.879) Prec@5 65.234 (68.534)
Epoch: [28][1090/5005] Time 0.212 (0.224) Data 0.050 (0.065) Loss 2.4396 (2.5546) Prec@1 44.141 (42.880) Prec@5 69.531 (68.546)
Epoch: [28][1100/5005] Time 0.207 (0.224) Data 0.042 (0.065) Loss 2.5543 (2.5544) Prec@1 42.188 (42.879) Prec@5 67.188 (68.546)
Epoch: [28][1110/5005] Time 0.211 (0.224) Data 0.048 (0.065) Loss 2.4281 (2.5543) Prec@1 44.922 (42.874) Prec@5 69.922 (68.550)
Epoch: [28][1120/5005] Time 0.214 (0.223) Data 0.056 (0.065) Loss 2.4380 (2.5536) Prec@1 46.875 (42.877) Prec@5 69.531 (68.558)
Epoch: [28][1130/5005] Time 0.203 (0.223) Data 0.052 (0.064) Loss 2.6781 (2.5540) Prec@1 39.062 (42.871) Prec@5 65.625 (68.558)
Epoch: [28][1140/5005] Time 0.194 (0.223) Data 0.053 (0.064) Loss 2.6440 (2.5537) Prec@1 43.359 (42.878) Prec@5 67.969 (68.567)
Epoch: [28][1150/5005] Time 0.213 (0.223) Data 0.041 (0.064) Loss 2.4841 (2.5528) Prec@1 40.625 (42.898) Prec@5 69.141 (68.584)
Epoch: [28][1160/5005] Time 0.214 (0.223) Data 0.050 (0.064) Loss 2.5036 (2.5525) Prec@1 42.969 (42.898) Prec@5 69.531 (68.585)
Epoch: [28][1170/5005] Time 0.222 (0.223) Data 0.048 (0.064) Loss 2.5565 (2.5525) Prec@1 44.531 (42.904) Prec@5 70.312 (68.585)
Epoch: [28][1180/5005] Time 0.220 (0.223) Data 0.042 (0.064) Loss 2.6743 (2.5524) Prec@1 42.188 (42.901) Prec@5 67.969 (68.583)
Epoch: [28][1190/5005] Time 0.204 (0.223) Data 0.047 (0.064) Loss 2.3928 (2.5518) Prec@1 45.312 (42.913) Prec@5 73.047 (68.601)
Epoch: [28][1200/5005] Time 0.215 (0.222) Data 0.044 (0.063) Loss 2.8650 (2.5518) Prec@1 34.375 (42.910) Prec@5 66.797 (68.599)
Epoch: [28][1210/5005] Time 0.207 (0.222) Data 0.048 (0.063) Loss 2.5177 (2.5522) Prec@1 41.406 (42.909) Prec@5 68.359 (68.590)
Epoch: [28][1220/5005] Time 0.442 (0.222) Data 0.358 (0.064) Loss 2.5326 (2.5520) Prec@1 42.188 (42.919) Prec@5 68.359 (68.600)
Epoch: [28][1230/5005] Time 0.198 (0.223) Data 0.046 (0.064) Loss 2.5915 (2.5519) Prec@1 41.016 (42.910) Prec@5 69.922 (68.603)
Epoch: [28][1240/5005] Time 0.210 (0.223) Data 0.044 (0.064) Loss 2.5046 (2.5520) Prec@1 43.750 (42.911) Prec@5 68.359 (68.592)
Epoch: [28][1250/5005] Time 0.198 (0.223) Data 0.062 (0.064) Loss 2.8475 (2.5525) Prec@1 39.844 (42.904) Prec@5 64.062 (68.581)
Epoch: [28][1260/5005] Time 0.208 (0.223) Data 0.048 (0.064) Loss 2.2972 (2.5517) Prec@1 45.703 (42.915) Prec@5 71.094 (68.590)
Epoch: [28][1270/5005] Time 0.206 (0.223) Data 0.050 (0.064) Loss 2.7523 (2.5526) Prec@1 35.547 (42.900) Prec@5 65.234 (68.572)
Epoch: [28][1280/5005] Time 0.205 (0.223) Data 0.044 (0.064) Loss 2.5197 (2.5529) Prec@1 41.016 (42.899) Prec@5 69.922 (68.567)
Epoch: [28][1290/5005] Time 0.199 (0.223) Data 0.051 (0.064) Loss 2.4425 (2.5529) Prec@1 48.438 (42.900) Prec@5 69.141 (68.563)
Epoch: [28][1300/5005] Time 0.206 (0.223) Data 0.042 (0.064) Loss 2.5906 (2.5525) Prec@1 42.578 (42.901) Prec@5 66.797 (68.567)
Epoch: [28][1310/5005] Time 0.213 (0.223) Data 0.041 (0.064) Loss 2.5442 (2.5524) Prec@1 44.531 (42.900) Prec@5 71.875 (68.576)
Epoch: [28][1320/5005] Time 0.208 (0.223) Data 0.048 (0.065) Loss 2.6599 (2.5521) Prec@1 41.797 (42.902) Prec@5 70.703 (68.589)
Epoch: [28][1330/5005] Time 0.215 (0.223) Data 0.042 (0.064) Loss 2.5966 (2.5525) Prec@1 44.531 (42.900) Prec@5 67.188 (68.584)
Epoch: [28][1340/5005] Time 0.211 (0.223) Data 0.041 (0.065) Loss 2.5084 (2.5524) Prec@1 40.625 (42.899) Prec@5 70.703 (68.588)
Epoch: [28][1350/5005] Time 0.592 (0.223) Data 0.499 (0.065) Loss 2.9958 (2.5526) Prec@1 36.719 (42.888) Prec@5 62.500 (68.583)
Epoch: [28][1360/5005] Time 0.195 (0.223) Data 0.047 (0.065) Loss 2.3940 (2.5528) Prec@1 49.219 (42.885) Prec@5 69.531 (68.577)
Epoch: [28][1370/5005] Time 0.206 (0.223) Data 0.044 (0.065) Loss 2.7009 (2.5523) Prec@1 41.406 (42.893) Prec@5 67.188 (68.589)
Epoch: [28][1380/5005] Time 0.203 (0.223) Data 0.049 (0.065) Loss 2.4359 (2.5521) Prec@1 46.875 (42.900) Prec@5 73.047 (68.598)
Epoch: [28][1390/5005] Time 0.203 (0.223) Data 0.047 (0.065) Loss 2.5692 (2.5521) Prec@1 43.359 (42.908) Prec@5 68.750 (68.594)
Epoch: [28][1400/5005] Time 0.367 (0.223) Data 0.276 (0.065) Loss 2.5152 (2.5512) Prec@1 44.922 (42.917) Prec@5 67.969 (68.612)
Epoch: [28][1410/5005] Time 0.197 (0.223) Data 0.041 (0.066) Loss 2.5878 (2.5509) Prec@1 41.797 (42.917) Prec@5 68.359 (68.620)
Epoch: [28][1420/5005] Time 0.208 (0.223) Data 0.044 (0.066) Loss 2.9005 (2.5509) Prec@1 37.891 (42.917) Prec@5 63.281 (68.620)
Epoch: [28][1430/5005] Time 0.454 (0.223) Data 0.365 (0.066) Loss 2.3433 (2.5505) Prec@1 43.750 (42.924) Prec@5 71.875 (68.633)
Epoch: [28][1440/5005] Time 0.204 (0.224) Data 0.044 (0.066) Loss 2.2906 (2.5502) Prec@1 48.438 (42.927) Prec@5 73.828 (68.633)
Epoch: [28][1450/5005] Time 0.202 (0.223) Data 0.039 (0.066) Loss 2.4309 (2.5502) Prec@1 48.828 (42.929) Prec@5 69.531 (68.635)
Epoch: [28][1460/5005] Time 0.196 (0.223) Data 0.045 (0.066) Loss 2.5695 (2.5498) Prec@1 41.406 (42.932) Prec@5 65.625 (68.641)
Epoch: [28][1470/5005] Time 0.212 (0.223) Data 0.060 (0.066) Loss 2.6328 (2.5500) Prec@1 42.578 (42.936) Prec@5 66.406 (68.641)
Epoch: [28][1480/5005] Time 0.207 (0.223) Data 0.046 (0.066) Loss 2.5043 (2.5501) Prec@1 45.703 (42.936) Prec@5 68.750 (68.640)
Epoch: [28][1490/5005] Time 0.193 (0.223) Data 0.047 (0.066) Loss 2.6822 (2.5496) Prec@1 44.141 (42.944) Prec@5 67.578 (68.653)
Epoch: [28][1500/5005] Time 0.204 (0.223) Data 0.053 (0.066) Loss 2.6088 (2.5496) Prec@1 41.797 (42.950) Prec@5 67.969 (68.659)
Epoch: [28][1510/5005] Time 0.201 (0.223) Data 0.046 (0.067) Loss 2.4073 (2.5494) Prec@1 42.969 (42.953) Prec@5 71.484 (68.660)
Epoch: [28][1520/5005] Time 0.202 (0.223) Data 0.050 (0.067) Loss 2.5835 (2.5491) Prec@1 42.578 (42.954) Prec@5 68.359 (68.668)
Epoch: [28][1530/5005] Time 0.357 (0.223) Data 0.273 (0.067) Loss 2.6010 (2.5492) Prec@1 44.531 (42.957) Prec@5 68.750 (68.668)
Epoch: [28][1540/5005] Time 0.202 (0.223) Data 0.045 (0.067) Loss 2.5969 (2.5495) Prec@1 42.188 (42.957) Prec@5 66.406 (68.661)
Epoch: [28][1550/5005] Time 0.207 (0.223) Data 0.045 (0.067) Loss 2.4381 (2.5490) Prec@1 47.656 (42.970) Prec@5 69.531 (68.671)
Epoch: [28][1560/5005] Time 0.208 (0.223) Data 0.119 (0.067) Loss 2.5626 (2.5492) Prec@1 38.672 (42.961) Prec@5 66.797 (68.670)
Epoch: [28][1570/5005] Time 0.411 (0.223) Data 0.325 (0.067) Loss 2.4489 (2.5489) Prec@1 42.969 (42.968) Prec@5 70.703 (68.675)
Epoch: [28][1580/5005] Time 0.209 (0.223) Data 0.064 (0.067) Loss 2.4480 (2.5491) Prec@1 42.578 (42.968) Prec@5 76.172 (68.674)
Epoch: [28][1590/5005] Time 0.204 (0.224) Data 0.039 (0.068) Loss 2.5140 (2.5491) Prec@1 43.750 (42.963) Prec@5 67.969 (68.676)
Epoch: [28][1600/5005] Time 0.201 (0.224) Data 0.045 (0.068) Loss 2.5611 (2.5490) Prec@1 40.234 (42.965) Prec@5 68.359 (68.676)
Epoch: [28][1610/5005] Time 0.202 (0.224) Data 0.042 (0.068) Loss 2.6643 (2.5491) Prec@1 41.406 (42.960) Prec@5 68.750 (68.673)
Epoch: [28][1620/5005] Time 0.208 (0.224) Data 0.044 (0.068) Loss 2.7254 (2.5489) Prec@1 39.844 (42.960) Prec@5 67.969 (68.682)
Epoch: [28][1630/5005] Time 0.208 (0.224) Data 0.047 (0.068) Loss 2.2769 (2.5489) Prec@1 47.656 (42.965) Prec@5 72.266 (68.678)
Epoch: [28][1640/5005] Time 0.205 (0.224) Data 0.049 (0.068) Loss 2.4879 (2.5491) Prec@1 45.312 (42.966) Prec@5 71.094 (68.672)
Epoch: [28][1650/5005] Time 0.214 (0.224) Data 0.043 (0.068) Loss 2.6272 (2.5491) Prec@1 42.969 (42.972) Prec@5 66.016 (68.668)
Epoch: [28][1660/5005] Time 0.203 (0.224) Data 0.040 (0.068) Loss 2.5702 (2.5486) Prec@1 42.188 (42.986) Prec@5 69.922 (68.680)
Epoch: [28][1670/5005] Time 0.272 (0.224) Data 0.194 (0.068) Loss 2.3590 (2.5487) Prec@1 45.703 (42.983) Prec@5 71.875 (68.682)
Epoch: [28][1680/5005] Time 0.202 (0.224) Data 0.051 (0.068) Loss 2.6580 (2.5489) Prec@1 42.969 (42.983) Prec@5 68.359 (68.681)
Epoch: [28][1690/5005] Time 0.215 (0.224) Data 0.045 (0.068) Loss 2.3008 (2.5486) Prec@1 44.531 (42.982) Prec@5 71.875 (68.687)
Epoch: [28][1700/5005] Time 0.198 (0.224) Data 0.064 (0.068) Loss 2.4959 (2.5482) Prec@1 41.016 (42.991) Prec@5 71.875 (68.694)
Epoch: [28][1710/5005] Time 0.376 (0.224) Data 0.290 (0.069) Loss 2.4378 (2.5477) Prec@1 41.797 (42.995) Prec@5 73.047 (68.704)
Epoch: [28][1720/5005] Time 0.205 (0.224) Data 0.063 (0.069) Loss 2.5545 (2.5477) Prec@1 40.625 (42.988) Prec@5 68.750 (68.706)
Epoch: [28][1730/5005] Time 0.445 (0.224) Data 0.355 (0.069) Loss 2.6366 (2.5477) Prec@1 38.672 (42.987) Prec@5 66.406 (68.706)
Epoch: [28][1740/5005] Time 0.204 (0.224) Data 0.054 (0.069) Loss 2.6391 (2.5475) Prec@1 40.625 (42.991) Prec@5 66.406 (68.708)
Epoch: [28][1750/5005] Time 0.202 (0.224) Data 0.046 (0.069) Loss 2.4514 (2.5468) Prec@1 42.578 (42.998) Prec@5 72.266 (68.721)
Epoch: [28][1760/5005] Time 0.192 (0.224) Data 0.062 (0.069) Loss 2.2913 (2.5465) Prec@1 50.781 (43.004) Prec@5 73.438 (68.724)
Epoch: [28][1770/5005] Time 0.209 (0.224) Data 0.050 (0.069) Loss 2.5509 (2.5462) Prec@1 41.016 (43.012) Prec@5 65.625 (68.724)
Epoch: [28][1780/5005] Time 0.208 (0.224) Data 0.048 (0.069) Loss 2.3743 (2.5460) Prec@1 44.141 (43.017) Prec@5 71.094 (68.720)
Epoch: [28][1790/5005] Time 0.203 (0.224) Data 0.044 (0.070) Loss 2.4779 (2.5456) Prec@1 45.312 (43.022) Prec@5 69.141 (68.725)
Epoch: [28][1800/5005] Time 0.204 (0.224) Data 0.042 (0.070) Loss 2.4660 (2.5453) Prec@1 42.578 (43.023) Prec@5 68.750 (68.730)
Epoch: [28][1810/5005] Time 0.197 (0.224) Data 0.050 (0.070) Loss 2.4972 (2.5450) Prec@1 44.922 (43.030) Prec@5 68.750 (68.733)
Epoch: [28][1820/5005] Time 0.501 (0.224) Data 0.412 (0.070) Loss 2.5628 (2.5448) Prec@1 40.234 (43.033) Prec@5 65.234 (68.735)
Epoch: [28][1830/5005] Time 0.206 (0.224) Data 0.040 (0.070) Loss 2.3401 (2.5445) Prec@1 45.703 (43.042) Prec@5 70.703 (68.735)
Epoch: [28][1840/5005] Time 0.205 (0.224) Data 0.054 (0.070) Loss 2.5546 (2.5443) Prec@1 41.797 (43.042) Prec@5 66.406 (68.738)
Epoch: [28][1850/5005] Time 0.203 (0.224) Data 0.083 (0.070) Loss 2.5237 (2.5440) Prec@1 45.312 (43.049) Prec@5 66.016 (68.743)
Epoch: [28][1860/5005] Time 0.223 (0.224) Data 0.045 (0.070) Loss 2.5368 (2.5440) Prec@1 44.922 (43.047) Prec@5 70.703 (68.746)
Epoch: [28][1870/5005] Time 0.202 (0.224) Data 0.040 (0.070) Loss 2.8396 (2.5444) Prec@1 37.109 (43.043) Prec@5 64.062 (68.738)
Epoch: [28][1880/5005] Time 0.210 (0.224) Data 0.042 (0.070) Loss 2.6794 (2.5445) Prec@1 38.672 (43.037) Prec@5 67.188 (68.735)
Epoch: [28][1890/5005] Time 0.208 (0.224) Data 0.044 (0.070) Loss 2.6502 (2.5443) Prec@1 43.359 (43.039) Prec@5 68.750 (68.742)
Epoch: [28][1900/5005] Time 0.394 (0.224) Data 0.309 (0.070) Loss 2.5460 (2.5447) Prec@1 41.797 (43.037) Prec@5 67.969 (68.734)
Epoch: [28][1910/5005] Time 0.189 (0.224) Data 0.056 (0.070) Loss 2.5083 (2.5446) Prec@1 39.844 (43.036) Prec@5 67.969 (68.731)
Epoch: [28][1920/5005] Time 0.199 (0.224) Data 0.104 (0.070) Loss 2.4606 (2.5443) Prec@1 42.969 (43.037) Prec@5 72.266 (68.738)
Epoch: [28][1930/5005] Time 0.213 (0.224) Data 0.042 (0.070) Loss 2.4785 (2.5440) Prec@1 44.141 (43.045) Prec@5 69.141 (68.744)
Epoch: [28][1940/5005] Time 0.210 (0.224) Data 0.047 (0.070) Loss 2.3593 (2.5436) Prec@1 44.922 (43.050) Prec@5 70.312 (68.753)
Epoch: [28][1950/5005] Time 0.211 (0.224) Data 0.045 (0.070) Loss 2.6737 (2.5432) Prec@1 39.844 (43.053) Prec@5 66.797 (68.758)
Epoch: [28][1960/5005] Time 0.207 (0.224) Data 0.040 (0.070) Loss 2.3698 (2.5432) Prec@1 48.438 (43.054) Prec@5 73.828 (68.762)
Epoch: [28][1970/5005] Time 0.204 (0.224) Data 0.044 (0.070) Loss 2.5553 (2.5434) Prec@1 42.188 (43.051) Prec@5 69.922 (68.751)
Epoch: [28][1980/5005] Time 0.209 (0.224) Data 0.056 (0.070) Loss 2.3725 (2.5433) Prec@1 47.656 (43.048) Prec@5 70.312 (68.753)
Epoch: [28][1990/5005] Time 0.202 (0.224) Data 0.047 (0.070) Loss 2.4372 (2.5430) Prec@1 45.312 (43.054) Prec@5 69.531 (68.759)
Epoch: [28][2000/5005] Time 0.204 (0.224) Data 0.044 (0.070) Loss 2.3273 (2.5431) Prec@1 48.438 (43.056) Prec@5 72.266 (68.758)
Epoch: [28][2010/5005] Time 0.481 (0.224) Data 0.395 (0.071) Loss 2.5084 (2.5435) Prec@1 43.359 (43.048) Prec@5 67.188 (68.750)
Epoch: [28][2020/5005] Time 0.205 (0.224) Data 0.060 (0.071) Loss 2.4416 (2.5434) Prec@1 45.312 (43.053) Prec@5 71.094 (68.751)
Epoch: [28][2030/5005] Time 0.210 (0.224) Data 0.042 (0.071) Loss 2.4088 (2.5431) Prec@1 48.438 (43.057) Prec@5 71.484 (68.757)
Epoch: [28][2040/5005] Time 0.205 (0.224) Data 0.044 (0.071) Loss 2.2711 (2.5428) Prec@1 44.922 (43.061) Prec@5 73.828 (68.765)
Epoch: [28][2050/5005] Time 0.209 (0.224) Data 0.050 (0.071) Loss 2.6984 (2.5427) Prec@1 38.281 (43.063) Prec@5 67.969 (68.770)
Epoch: [28][2060/5005] Time 0.212 (0.224) Data 0.046 (0.071) Loss 2.5214 (2.5426) Prec@1 42.578 (43.066) Prec@5 67.188 (68.771)
Epoch: [28][2070/5005] Time 0.197 (0.224) Data 0.045 (0.071) Loss 2.7237 (2.5429) Prec@1 38.281 (43.063) Prec@5 66.797 (68.768)
Epoch: [28][2080/5005] Time 0.192 (0.224) Data 0.044 (0.071) Loss 2.7361 (2.5429) Prec@1 38.672 (43.063) Prec@5 65.234 (68.770)
Epoch: [28][2090/5005] Time 0.197 (0.224) Data 0.051 (0.071) Loss 2.3639 (2.5425) Prec@1 48.438 (43.074) Prec@5 68.359 (68.775)
Epoch: [28][2100/5005] Time 0.208 (0.224) Data 0.049 (0.071) Loss 2.5807 (2.5423) Prec@1 39.453 (43.072) Prec@5 67.969 (68.779)
Epoch: [28][2110/5005] Time 0.193 (0.224) Data 0.067 (0.071) Loss 2.3684 (2.5424) Prec@1 47.266 (43.077) Prec@5 73.438 (68.779)
Epoch: [28][2120/5005] Time 0.469 (0.224) Data 0.380 (0.071) Loss 2.6659 (2.5422) Prec@1 44.531 (43.086) Prec@5 67.969 (68.781)
Epoch: [28][2130/5005] Time 0.462 (0.224) Data 0.378 (0.072) Loss 2.4936 (2.5418) Prec@1 43.750 (43.093) Prec@5 69.922 (68.783)
Epoch: [28][2140/5005] Time 0.211 (0.224) Data 0.046 (0.072) Loss 2.3858 (2.5419) Prec@1 44.141 (43.090) Prec@5 71.094 (68.779)
Epoch: [28][2150/5005] Time 0.724 (0.224) Data 0.641 (0.072) Loss 2.3742 (2.5418) Prec@1 46.484 (43.096) Prec@5 71.875 (68.781)
Epoch: [28][2160/5005] Time 0.192 (0.224) Data 0.092 (0.072) Loss 2.4052 (2.5417) Prec@1 46.484 (43.098) Prec@5 71.875 (68.785)
Epoch: [28][2170/5005] Time 0.197 (0.224) Data 0.056 (0.072) Loss 2.4383 (2.5415) Prec@1 46.875 (43.100) Prec@5 69.922 (68.788)
Epoch: [28][2180/5005] Time 0.199 (0.224) Data 0.055 (0.072) Loss 2.5300 (2.5416) Prec@1 47.266 (43.093) Prec@5 69.922 (68.791)
Epoch: [28][2190/5005] Time 0.202 (0.224) Data 0.046 (0.072) Loss 2.7042 (2.5416) Prec@1 39.453 (43.094) Prec@5 63.672 (68.794)
Epoch: [28][2200/5005] Time 0.205 (0.224) Data 0.045 (0.072) Loss 2.5212 (2.5417) Prec@1 42.188 (43.096) Prec@5 70.703 (68.795)
Epoch: [28][2210/5005] Time 0.201 (0.224) Data 0.049 (0.072) Loss 2.6510 (2.5420) Prec@1 41.406 (43.096) Prec@5 65.234 (68.789)
Epoch: [28][2220/5005] Time 0.198 (0.224) Data 0.107 (0.072) Loss 2.6693 (2.5420) Prec@1 46.484 (43.097) Prec@5 64.844 (68.789)
Epoch: [28][2230/5005] Time 0.210 (0.224) Data 0.046 (0.072) Loss 2.4575 (2.5419) Prec@1 41.797 (43.095) Prec@5 71.484 (68.789)
Epoch: [28][2240/5005] Time 0.204 (0.224) Data 0.044 (0.072) Loss 2.4467 (2.5417) Prec@1 45.312 (43.099) Prec@5 69.922 (68.793)
Epoch: [28][2250/5005] Time 0.198 (0.224) Data 0.044 (0.072) Loss 2.3969 (2.5417) Prec@1 41.016 (43.099) Prec@5 67.969 (68.792)
Epoch: [28][2260/5005] Time 0.208 (0.224) Data 0.042 (0.072) Loss 2.5338 (2.5415) Prec@1 42.188 (43.103) Prec@5 66.797 (68.795)
Epoch: [28][2270/5005] Time 0.201 (0.224) Data 0.061 (0.072) Loss 2.6789 (2.5412) Prec@1 44.141 (43.107) Prec@5 65.625 (68.798)
Epoch: [28][2280/5005] Time 0.205 (0.224) Data 0.095 (0.072) Loss 2.4930 (2.5413) Prec@1 43.750 (43.110) Prec@5 69.531 (68.798)
Epoch: [28][2290/5005] Time 0.205 (0.224) Data 0.044 (0.072) Loss 2.4571 (2.5412) Prec@1 42.188 (43.111) Prec@5 72.266 (68.798)
Epoch: [28][2300/5005] Time 0.202 (0.224) Data 0.058 (0.073) Loss 2.4221 (2.5412) Prec@1 44.531 (43.107) Prec@5 69.922 (68.799)
Epoch: [28][2310/5005] Time 0.210 (0.224) Data 0.038 (0.073) Loss 2.3369 (2.5409) Prec@1 50.000 (43.116) Prec@5 72.656 (68.805)
Epoch: [28][2320/5005] Time 0.199 (0.224) Data 0.045 (0.073) Loss 2.5595 (2.5408) Prec@1 40.625 (43.116) Prec@5 70.312 (68.805)
Epoch: [28][2330/5005] Time 0.214 (0.224) Data 0.109 (0.073) Loss 2.4682 (2.5407) Prec@1 48.438 (43.118) Prec@5 67.578 (68.804)
Epoch: [28][2340/5005] Time 0.202 (0.224) Data 0.044 (0.073) Loss 2.5044 (2.5402) Prec@1 40.625 (43.125) Prec@5 68.359 (68.813)
Epoch: [28][2350/5005] Time 0.294 (0.224) Data 0.218 (0.073) Loss 2.4830 (2.5399) Prec@1 47.266 (43.131) Prec@5 65.625 (68.817)
Epoch: [28][2360/5005] Time 0.201 (0.224) Data 0.119 (0.073) Loss 2.4503 (2.5399) Prec@1 45.312 (43.132) Prec@5 67.969 (68.819)
Epoch: [28][2370/5005] Time 0.204 (0.224) Data 0.045 (0.073) Loss 2.5850 (2.5399) Prec@1 39.453 (43.131) Prec@5 67.188 (68.821)
Epoch: [28][2380/5005] Time 0.203 (0.225) Data 0.045 (0.073) Loss 2.6051 (2.5397) Prec@1 42.969 (43.133) Prec@5 66.797 (68.822)
Epoch: [28][2390/5005] Time 0.196 (0.224) Data 0.107 (0.073) Loss 2.4723 (2.5396) Prec@1 44.531 (43.134) Prec@5 67.188 (68.820)
Epoch: [28][2400/5005] Time 0.397 (0.225) Data 0.312 (0.074) Loss 2.4129 (2.5393) Prec@1 44.141 (43.137) Prec@5 72.656 (68.823)
Epoch: [28][2410/5005] Time 0.210 (0.225) Data 0.046 (0.074) Loss 2.8033 (2.5394) Prec@1 39.062 (43.138) Prec@5 63.281 (68.825)
Epoch: [28][2420/5005] Time 0.204 (0.224) Data 0.044 (0.073) Loss 2.6127 (2.5391) Prec@1 44.531 (43.143) Prec@5 69.141 (68.831)
Epoch: [28][2430/5005] Time 0.208 (0.224) Data 0.047 (0.073) Loss 2.4234 (2.5391) Prec@1 44.922 (43.138) Prec@5 71.875 (68.829)
Epoch: [28][2440/5005] Time 0.193 (0.224) Data 0.061 (0.074) Loss 2.2897 (2.5391) Prec@1 47.656 (43.142) Prec@5 71.094 (68.828)
Epoch: [28][2450/5005] Time 0.201 (0.225) Data 0.062 (0.074) Loss 2.3881 (2.5390) Prec@1 44.141 (43.144) Prec@5 71.094 (68.830)
Epoch: [28][2460/5005] Time 0.198 (0.224) Data 0.111 (0.074) Loss 2.4754 (2.5388) Prec@1 43.750 (43.146) Prec@5 67.578 (68.828)
Epoch: [28][2470/5005] Time 0.207 (0.225) Data 0.052 (0.074) Loss 2.4116 (2.5386) Prec@1 47.266 (43.149) Prec@5 67.969 (68.834)
Epoch: [28][2480/5005] Time 0.201 (0.224) Data 0.053 (0.074) Loss 2.6452 (2.5387) Prec@1 39.844 (43.147) Prec@5 67.969 (68.833)
Epoch: [28][2490/5005] Time 0.200 (0.225) Data 0.044 (0.074) Loss 2.3513 (2.5387) Prec@1 47.266 (43.148) Prec@5 71.484 (68.833)
Epoch: [28][2500/5005] Time 0.209 (0.225) Data 0.045 (0.074) Loss 2.6551 (2.5386) Prec@1 40.234 (43.148) Prec@5 66.016 (68.834)
Epoch: [28][2510/5005] Time 0.207 (0.225) Data 0.042 (0.074) Loss 2.5775 (2.5386) Prec@1 43.359 (43.148) Prec@5 69.531 (68.834)
Epoch: [28][2520/5005] Time 0.202 (0.225) Data 0.043 (0.074) Loss 2.2798 (2.5385) Prec@1 46.094 (43.155) Prec@5 75.391 (68.835)
Epoch: [28][2530/5005] Time 0.201 (0.225) Data 0.040 (0.074) Loss 2.6881 (2.5384) Prec@1 41.406 (43.156) Prec@5 66.797 (68.835)
Epoch: [28][2540/5005] Time 0.213 (0.225) Data 0.128 (0.074) Loss 2.5353 (2.5383) Prec@1 43.359 (43.160) Prec@5 72.266 (68.842)
Epoch: [28][2550/5005] Time 0.196 (0.225) Data 0.049 (0.074) Loss 2.5064 (2.5381) Prec@1 44.531 (43.166) Prec@5 67.578 (68.845)
Epoch: [28][2560/5005] Time 0.217 (0.224) Data 0.126 (0.074) Loss 2.7224 (2.5382) Prec@1 39.062 (43.162) Prec@5 66.016 (68.846)
Epoch: [28][2570/5005] Time 0.199 (0.225) Data 0.045 (0.074) Loss 2.6084 (2.5384) Prec@1 40.625 (43.160) Prec@5 67.969 (68.841)
Epoch: [28][2580/5005] Time 0.346 (0.225) Data 0.261 (0.074) Loss 2.6213 (2.5386) Prec@1 44.531 (43.159) Prec@5 67.578 (68.836)
Epoch: [28][2590/5005] Time 0.202 (0.224) Data 0.064 (0.074) Loss 2.6622 (2.5383) Prec@1 42.578 (43.167) Prec@5 66.797 (68.841)
Epoch: [28][2600/5005] Time 0.209 (0.225) Data 0.046 (0.074) Loss 2.5072 (2.5383) Prec@1 46.484 (43.169) Prec@5 71.094 (68.841)
Epoch: [28][2610/5005] Time 0.206 (0.224) Data 0.048 (0.074) Loss 2.6729 (2.5382) Prec@1 38.672 (43.171) Prec@5 69.141 (68.844)
Epoch: [28][2620/5005] Time 0.199 (0.225) Data 0.049 (0.074) Loss 2.4174 (2.5381) Prec@1 42.578 (43.175) Prec@5 68.359 (68.845)
Epoch: [28][2630/5005] Time 0.507 (0.225) Data 0.418 (0.074) Loss 2.6193 (2.5384) Prec@1 40.234 (43.175) Prec@5 70.703 (68.840)
Epoch: [28][2640/5005] Time 0.457 (0.225) Data 0.371 (0.075) Loss 2.7370 (2.5383) Prec@1 37.891 (43.176) Prec@5 67.969 (68.841)
Epoch: [28][2650/5005] Time 0.211 (0.225) Data 0.042 (0.075) Loss 2.6967 (2.5383) Prec@1 41.016 (43.178) Prec@5 66.797 (68.838)
Epoch: [28][2660/5005] Time 0.210 (0.225) Data 0.046 (0.075) Loss 2.4869 (2.5383) Prec@1 43.359 (43.179) Prec@5 69.922 (68.838)
Epoch: [28][2670/5005] Time 0.198 (0.225) Data 0.060 (0.075) Loss 2.2058 (2.5379) Prec@1 51.172 (43.187) Prec@5 73.828 (68.843)
Epoch: [28][2680/5005] Time 0.197 (0.225) Data 0.052 (0.075) Loss 2.3568 (2.5378) Prec@1 47.656 (43.186) Prec@5 73.438 (68.847)
Epoch: [28][2690/5005] Time 0.218 (0.225) Data 0.053 (0.075) Loss 2.4222 (2.5376) Prec@1 46.484 (43.196) Prec@5 70.312 (68.854)
Epoch: [28][2700/5005] Time 0.223 (0.225) Data 0.047 (0.075) Loss 2.5001 (2.5375) Prec@1 39.062 (43.192) Prec@5 69.922 (68.858)
Epoch: [28][2710/5005] Time 0.192 (0.225) Data 0.054 (0.075) Loss 2.3961 (2.5377) Prec@1 44.531 (43.191) Prec@5 68.359 (68.851)
Epoch: [28][2720/5005] Time 0.198 (0.225) Data 0.044 (0.075) Loss 2.3861 (2.5376) Prec@1 47.656 (43.192) Prec@5 73.438 (68.855)
Epoch: [28][2730/5005] Time 0.206 (0.225) Data 0.045 (0.075) Loss 2.5508 (2.5373) Prec@1 45.703 (43.193) Prec@5 66.797 (68.858)
Epoch: [28][2740/5005] Time 0.199 (0.225) Data 0.044 (0.075) Loss 2.4439 (2.5372) Prec@1 44.141 (43.195) Prec@5 71.484 (68.863)
Epoch: [28][2750/5005] Time 0.200 (0.225) Data 0.046 (0.075) Loss 2.4696 (2.5371) Prec@1 40.625 (43.199) Prec@5 65.625 (68.861)
Epoch: [28][2760/5005] Time 0.205 (0.225) Data 0.054 (0.075) Loss 2.3805 (2.5368) Prec@1 46.094 (43.205) Prec@5 71.094 (68.863)
Epoch: [28][2770/5005] Time 0.209 (0.225) Data 0.044 (0.075) Loss 2.4100 (2.5368) Prec@1 48.047 (43.205) Prec@5 69.531 (68.865)
Epoch: [28][2780/5005] Time 0.189 (0.225) Data 0.050 (0.075) Loss 2.7787 (2.5366) Prec@1 38.672 (43.211) Prec@5 67.188 (68.867)
Epoch: [28][2790/5005] Time 0.207 (0.225) Data 0.041 (0.075) Loss 2.7721 (2.5366) Prec@1 34.375 (43.210) Prec@5 63.672 (68.866)
Epoch: [28][2800/5005] Time 0.287 (0.225) Data 0.207 (0.075) Loss 2.3431 (2.5367) Prec@1 45.312 (43.206) Prec@5 73.047 (68.867)
Epoch: [28][2810/5005] Time 0.212 (0.225) Data 0.046 (0.075) Loss 2.8324 (2.5369) Prec@1 38.672 (43.200) Prec@5 66.016 (68.866)
Epoch: [28][2820/5005] Time 0.197 (0.225) Data 0.045 (0.075) Loss 2.1577 (2.5367) Prec@1 45.703 (43.202) Prec@5 73.828 (68.868)
Epoch: [28][2830/5005] Time 0.195 (0.225) Data 0.046 (0.075) Loss 2.7879 (2.5366) Prec@1 37.500 (43.201) Prec@5 66.797 (68.870)
Epoch: [28][2840/5005] Time 0.202 (0.225) Data 0.048 (0.075) Loss 2.5126 (2.5365) Prec@1 44.922 (43.198) Prec@5 69.922 (68.872)
Epoch: [28][2850/5005] Time 0.198 (0.225) Data 0.046 (0.075) Loss 2.4721 (2.5363) Prec@1 47.266 (43.205) Prec@5 66.406 (68.874)
Epoch: [28][2860/5005] Time 0.222 (0.225) Data 0.135 (0.075) Loss 2.4677 (2.5363) Prec@1 43.359 (43.205) Prec@5 70.312 (68.874)
Epoch: [28][2870/5005] Time 0.207 (0.225) Data 0.045 (0.075) Loss 2.5068 (2.5360) Prec@1 45.312 (43.215) Prec@5 66.016 (68.878)
Epoch: [28][2880/5005] Time 0.200 (0.225) Data 0.052 (0.075) Loss 2.4582 (2.5359) Prec@1 42.969 (43.217) Prec@5 69.922 (68.878)
Epoch: [28][2890/5005] Time 0.201 (0.225) Data 0.095 (0.075) Loss 2.5466 (2.5356) Prec@1 41.016 (43.221) Prec@5 66.406 (68.881)
Epoch: [28][2900/5005] Time 0.203 (0.225) Data 0.047 (0.075) Loss 2.2014 (2.5353) Prec@1 48.438 (43.230) Prec@5 74.609 (68.888)
Epoch: [28][2910/5005] Time 0.192 (0.225) Data 0.052 (0.075) Loss 2.5507 (2.5354) Prec@1 39.844 (43.226) Prec@5 69.141 (68.885)
Epoch: [28][2920/5005] Time 0.202 (0.225) Data 0.052 (0.075) Loss 2.5970 (2.5353) Prec@1 39.844 (43.230) Prec@5 69.531 (68.890)
Epoch: [28][2930/5005] Time 0.203 (0.225) Data 0.040 (0.075) Loss 2.6323 (2.5353) Prec@1 38.672 (43.234) Prec@5 68.750 (68.891)
Epoch: [28][2940/5005] Time 0.204 (0.225) Data 0.052 (0.076) Loss 2.6645 (2.5350) Prec@1 42.969 (43.236) Prec@5 67.188 (68.898)
Epoch: [28][2950/5005] Time 0.383 (0.225) Data 0.294 (0.076) Loss 2.7251 (2.5348) Prec@1 35.938 (43.239) Prec@5 67.188 (68.900)
Epoch: [28][2960/5005] Time 0.192 (0.225) Data 0.059 (0.076) Loss 2.5607 (2.5348) Prec@1 42.578 (43.241) Prec@5 67.969 (68.903)
Epoch: [28][2970/5005] Time 0.210 (0.225) Data 0.046 (0.076) Loss 2.6642 (2.5345) Prec@1 39.062 (43.240) Prec@5 65.625 (68.908)
Epoch: [28][2980/5005] Time 0.214 (0.225) Data 0.047 (0.076) Loss 2.6655 (2.5346) Prec@1 41.016 (43.239) Prec@5 66.016 (68.908)
Epoch: [28][2990/5005] Time 0.198 (0.225) Data 0.055 (0.076) Loss 2.4727 (2.5346) Prec@1 44.922 (43.239) Prec@5 72.266 (68.906)
Epoch: [28][3000/5005] Time 0.200 (0.225) Data 0.042 (0.076) Loss 2.4579 (2.5343) Prec@1 42.969 (43.242) Prec@5 70.312 (68.908)
Epoch: [28][3010/5005] Time 0.397 (0.225) Data 0.313 (0.076) Loss 2.5161 (2.5343) Prec@1 44.141 (43.244) Prec@5 69.141 (68.907)
Epoch: [28][3020/5005] Time 0.211 (0.225) Data 0.047 (0.076) Loss 2.3865 (2.5343) Prec@1 44.141 (43.242) Prec@5 70.703 (68.906)
Epoch: [28][3030/5005] Time 0.198 (0.225) Data 0.112 (0.076) Loss 2.4788 (2.5342) Prec@1 44.531 (43.245) Prec@5 70.703 (68.907)
Epoch: [28][3040/5005] Time 0.204 (0.225) Data 0.048 (0.076) Loss 2.3301 (2.5340) Prec@1 47.656 (43.255) Prec@5 70.703 (68.910)
Epoch: [28][3050/5005] Time 0.392 (0.225) Data 0.309 (0.076) Loss 2.4238 (2.5339) Prec@1 41.406 (43.256) Prec@5 70.312 (68.910)
Epoch: [28][3060/5005] Time 0.211 (0.225) Data 0.046 (0.076) Loss 2.4245 (2.5335) Prec@1 46.094 (43.259) Prec@5 72.656 (68.914)
Epoch: [28][3070/5005] Time 0.194 (0.225) Data 0.058 (0.076) Loss 2.5878 (2.5336) Prec@1 43.750 (43.256) Prec@5 64.844 (68.911)
Epoch: [28][3080/5005] Time 0.200 (0.225) Data 0.106 (0.076) Loss 2.3275 (2.5335) Prec@1 44.141 (43.259) Prec@5 71.094 (68.914)
Epoch: [28][3090/5005] Time 0.215 (0.225) Data 0.093 (0.076) Loss 2.7558 (2.5334) Prec@1 38.672 (43.260) Prec@5 64.453 (68.915)
Epoch: [28][3100/5005] Time 0.197 (0.225) Data 0.045 (0.076) Loss 2.5184 (2.5335) Prec@1 47.656 (43.260) Prec@5 69.922 (68.916)
Epoch: [28][3110/5005] Time 0.363 (0.225) Data 0.279 (0.076) Loss 2.3220 (2.5331) Prec@1 46.484 (43.266) Prec@5 73.047 (68.922)
Epoch: [28][3120/5005] Time 0.336 (0.225) Data 0.252 (0.076) Loss 2.5237 (2.5330) Prec@1 42.578 (43.268) Prec@5 70.312 (68.924)
Epoch: [28][3130/5005] Time 0.267 (0.225) Data 0.188 (0.076) Loss 2.6761 (2.5329) Prec@1 40.234 (43.271) Prec@5 66.016 (68.927)
Epoch: [28][3140/5005] Time 0.224 (0.225) Data 0.144 (0.076) Loss 2.2414 (2.5326) Prec@1 49.609 (43.277) Prec@5 70.703 (68.930)
Epoch: [28][3150/5005] Time 0.213 (0.225) Data 0.050 (0.076) Loss 2.4545 (2.5323) Prec@1 48.438 (43.284) Prec@5 70.703 (68.935)
Epoch: [28][3160/5005] Time 0.197 (0.225) Data 0.047 (0.076) Loss 2.3659 (2.5323) Prec@1 44.531 (43.286) Prec@5 71.484 (68.934)
Epoch: [28][3170/5005] Time 0.202 (0.225) Data 0.044 (0.076) Loss 2.5079 (2.5323) Prec@1 43.750 (43.288) Prec@5 67.188 (68.935)
Epoch: [28][3180/5005] Time 0.369 (0.225) Data 0.287 (0.077) Loss 2.4188 (2.5323) Prec@1 47.266 (43.292) Prec@5 70.703 (68.934)
Epoch: [28][3190/5005] Time 0.208 (0.225) Data 0.058 (0.077) Loss 2.6231 (2.5323) Prec@1 42.188 (43.294) Prec@5 66.797 (68.937)
Epoch: [28][3200/5005] Time 0.272 (0.225) Data 0.182 (0.077) Loss 2.5170 (2.5322) Prec@1 41.016 (43.297) Prec@5 71.094 (68.938)
Epoch: [28][3210/5005] Time 0.213 (0.225) Data 0.055 (0.077) Loss 2.6122 (2.5322) Prec@1 42.188 (43.300) Prec@5 70.312 (68.942)
Epoch: [28][3220/5005] Time 0.193 (0.225) Data 0.053 (0.077) Loss 2.6075 (2.5322) Prec@1 40.234 (43.301) Prec@5 67.188 (68.942)
Epoch: [28][3230/5005] Time 0.182 (0.225) Data 0.099 (0.077) Loss 2.3692 (2.5318) Prec@1 44.141 (43.307) Prec@5 69.531 (68.949)
Epoch: [28][3240/5005] Time 0.199 (0.225) Data 0.048 (0.077) Loss 2.8193 (2.5321) Prec@1 35.547 (43.303) Prec@5 67.578 (68.944)
Epoch: [28][3250/5005] Time 0.203 (0.225) Data 0.039 (0.077) Loss 2.4275 (2.5321) Prec@1 46.094 (43.300) Prec@5 71.094 (68.947)
Epoch: [28][3260/5005] Time 0.379 (0.225) Data 0.300 (0.077) Loss 2.5090 (2.5321) Prec@1 41.797 (43.299) Prec@5 69.922 (68.949)
Epoch: [28][3270/5005] Time 0.202 (0.225) Data 0.047 (0.077) Loss 2.5572 (2.5320) Prec@1 42.188 (43.300) Prec@5 66.406 (68.952)
Epoch: [28][3280/5005] Time 0.195 (0.225) Data 0.049 (0.077) Loss 2.4318 (2.5320) Prec@1 44.922 (43.301) Prec@5 70.703 (68.952)
Epoch: [28][3290/5005] Time 0.201 (0.225) Data 0.048 (0.077) Loss 2.5594 (2.5319) Prec@1 44.922 (43.301) Prec@5 66.406 (68.954)
Epoch: [28][3300/5005] Time 0.198 (0.225) Data 0.045 (0.077) Loss 2.4154 (2.5319) Prec@1 43.359 (43.301) Prec@5 68.359 (68.950)
Epoch: [28][3310/5005] Time 0.520 (0.225) Data 0.427 (0.077) Loss 2.5092 (2.5319) Prec@1 45.312 (43.302) Prec@5 68.750 (68.950)
Epoch: [28][3320/5005] Time 0.195 (0.225) Data 0.048 (0.077) Loss 2.4761 (2.5318) Prec@1 50.781 (43.305) Prec@5 67.188 (68.951)
Epoch: [28][3330/5005] Time 0.247 (0.225) Data 0.161 (0.077) Loss 2.6518 (2.5319) Prec@1 43.359 (43.310) Prec@5 63.672 (68.948)
Epoch: [28][3340/5005] Time 0.282 (0.225) Data 0.204 (0.077) Loss 2.5177 (2.5319) Prec@1 44.531 (43.310) Prec@5 69.141 (68.948)
Epoch: [28][3350/5005] Time 0.189 (0.225) Data 0.107 (0.077) Loss 2.7446 (2.5318) Prec@1 38.281 (43.311) Prec@5 65.234 (68.949)
Epoch: [28][3360/5005] Time 0.205 (0.225) Data 0.045 (0.077) Loss 2.4975 (2.5319) Prec@1 47.266 (43.315) Prec@5 69.531 (68.947)
Epoch: [28][3370/5005] Time 0.273 (0.225) Data 0.187 (0.077) Loss 2.4803 (2.5319) Prec@1 41.797 (43.317) Prec@5 73.438 (68.946)
Epoch: [28][3380/5005] Time 0.195 (0.225) Data 0.046 (0.077) Loss 2.6248 (2.5318) Prec@1 41.797 (43.318) Prec@5 67.969 (68.947)
Epoch: [28][3390/5005] Time 0.203 (0.225) Data 0.040 (0.078) Loss 2.5837 (2.5319) Prec@1 45.703 (43.314) Prec@5 67.969 (68.942)
Epoch: [28][3400/5005] Time 0.196 (0.225) Data 0.041 (0.078) Loss 2.4751 (2.5319) Prec@1 45.312 (43.316) Prec@5 69.531 (68.940)
Epoch: [28][3410/5005] Time 0.197 (0.225) Data 0.051 (0.078) Loss 2.4273 (2.5318) Prec@1 46.484 (43.318) Prec@5 74.219 (68.942)
Epoch: [28][3420/5005] Time 0.201 (0.225) Data 0.047 (0.078) Loss 2.5290 (2.5317) Prec@1 42.188 (43.318) Prec@5 69.141 (68.942)
Epoch: [28][3430/5005] Time 0.200 (0.225) Data 0.041 (0.078) Loss 2.4941 (2.5316) Prec@1 44.141 (43.319) Prec@5 64.453 (68.942)
Epoch: [28][3440/5005] Time 0.201 (0.225) Data 0.044 (0.078) Loss 2.5322 (2.5314) Prec@1 43.359 (43.321) Prec@5 65.234 (68.945)
Epoch: [28][3450/5005] Time 0.209 (0.225) Data 0.045 (0.078) Loss 2.4114 (2.5312) Prec@1 45.312 (43.320) Prec@5 68.750 (68.951)
Epoch: [28][3460/5005] Time 0.206 (0.225) Data 0.044 (0.078) Loss 2.5175 (2.5312) Prec@1 43.750 (43.320) Prec@5 69.922 (68.951)
Epoch: [28][3470/5005] Time 0.524 (0.225) Data 0.442 (0.078) Loss 2.3331 (2.5311) Prec@1 45.703 (43.321) Prec@5 73.438 (68.952)
Epoch: [28][3480/5005] Time 0.196 (0.225) Data 0.053 (0.078) Loss 2.4431 (2.5308) Prec@1 41.406 (43.324) Prec@5 71.875 (68.959)
Epoch: [28][3490/5005] Time 0.204 (0.225) Data 0.041 (0.078) Loss 2.6325 (2.5309) Prec@1 42.188 (43.321) Prec@5 66.797 (68.957)
Epoch: [28][3500/5005] Time 0.198 (0.225) Data 0.046 (0.078) Loss 2.4809 (2.5310) Prec@1 39.062 (43.316) Prec@5 72.266 (68.955)
Epoch: [28][3510/5005] Time 0.198 (0.225) Data 0.089 (0.078) Loss 2.5069 (2.5308) Prec@1 43.359 (43.317) Prec@5 66.016 (68.954)
Epoch: [28][3520/5005] Time 0.205 (0.225) Data 0.047 (0.078) Loss 2.7316 (2.5308) Prec@1 41.797 (43.316) Prec@5 64.453 (68.955)
Epoch: [28][3530/5005] Time 0.203 (0.225) Data 0.056 (0.078) Loss 2.4919 (2.5306) Prec@1 46.094 (43.321) Prec@5 68.750 (68.956)
Epoch: [28][3540/5005] Time 0.201 (0.225) Data 0.040 (0.078) Loss 2.3883 (2.5303) Prec@1 44.922 (43.327) Prec@5 71.875 (68.962)
Epoch: [28][3550/5005] Time 0.201 (0.225) Data 0.044 (0.078) Loss 2.6503 (2.5301) Prec@1 40.625 (43.329) Prec@5 65.625 (68.962)
Epoch: [28][3560/5005] Time 0.211 (0.225) Data 0.045 (0.078) Loss 2.5903 (2.5300) Prec@1 45.703 (43.331) Prec@5 64.844 (68.965)
Epoch: [28][3570/5005] Time 0.193 (0.225) Data 0.109 (0.078) Loss 2.5894 (2.5300) Prec@1 40.625 (43.333) Prec@5 68.750 (68.964)
Epoch: [28][3580/5005] Time 0.201 (0.225) Data 0.041 (0.078) Loss 2.5684 (2.5301) Prec@1 41.406 (43.331) Prec@5 70.312 (68.964)
Epoch: [28][3590/5005] Time 0.222 (0.225) Data 0.140 (0.078) Loss 2.5056 (2.5298) Prec@1 43.750 (43.335) Prec@5 69.922 (68.970)
Epoch: [28][3600/5005] Time 0.207 (0.225) Data 0.043 (0.078) Loss 2.5684 (2.5296) Prec@1 43.359 (43.338) Prec@5 66.406 (68.969)
Epoch: [28][3610/5005] Time 0.195 (0.225) Data 0.049 (0.078) Loss 2.3547 (2.5296) Prec@1 51.172 (43.340) Prec@5 69.922 (68.967)
Epoch: [28][3620/5005] Time 0.219 (0.225) Data 0.042 (0.078) Loss 2.6029 (2.5293) Prec@1 41.406 (43.345) Prec@5 68.750 (68.971)
Epoch: [28][3630/5005] Time 0.197 (0.225) Data 0.048 (0.078) Loss 2.6924 (2.5291) Prec@1 43.359 (43.352) Prec@5 65.234 (68.972)
Epoch: [28][3640/5005] Time 0.203 (0.225) Data 0.101 (0.078) Loss 2.3700 (2.5290) Prec@1 44.141 (43.351) Prec@5 69.922 (68.974)
Epoch: [28][3650/5005] Time 0.205 (0.225) Data 0.054 (0.078) Loss 2.5029 (2.5289) Prec@1 42.578 (43.349) Prec@5 67.969 (68.976)
Epoch: [28][3660/5005] Time 0.192 (0.225) Data 0.052 (0.078) Loss 2.6101 (2.5287) Prec@1 42.578 (43.353) Prec@5 67.188 (68.982)
Epoch: [28][3670/5005] Time 0.200 (0.225) Data 0.046 (0.078) Loss 2.5861 (2.5288) Prec@1 46.484 (43.352) Prec@5 66.016 (68.981)
Epoch: [28][3680/5005] Time 0.202 (0.225) Data 0.047 (0.078) Loss 2.4060 (2.5288) Prec@1 44.922 (43.354) Prec@5 72.266 (68.981)
Epoch: [28][3690/5005] Time 0.203 (0.225) Data 0.043 (0.078) Loss 2.4373 (2.5287) Prec@1 47.656 (43.354) Prec@5 73.047 (68.986)
Epoch: [28][3700/5005] Time 0.203 (0.225) Data 0.046 (0.078) Loss 2.5818 (2.5288) Prec@1 44.531 (43.354) Prec@5 69.141 (68.985)
Epoch: [28][3710/5005] Time 0.195 (0.225) Data 0.058 (0.078) Loss 2.5726 (2.5288) Prec@1 41.016 (43.355) Prec@5 67.969 (68.985)
Epoch: [28][3720/5005] Time 0.197 (0.225) Data 0.058 (0.078) Loss 2.7073 (2.5286) Prec@1 42.969 (43.361) Prec@5 69.531 (68.991)
Epoch: [28][3730/5005] Time 0.199 (0.225) Data 0.039 (0.078) Loss 2.3913 (2.5284) Prec@1 48.438 (43.365) Prec@5 73.438 (68.993)
Epoch: [28][3740/5005] Time 0.299 (0.225) Data 0.201 (0.078) Loss 2.4048 (2.5281) Prec@1 48.438 (43.371) Prec@5 71.094 (68.998)
Epoch: [28][3750/5005] Time 0.203 (0.225) Data 0.046 (0.078) Loss 2.2824 (2.5281) Prec@1 48.047 (43.369) Prec@5 74.219 (68.996)
Epoch: [28][3760/5005] Time 0.202 (0.225) Data 0.045 (0.078) Loss 2.5706 (2.5281) Prec@1 42.969 (43.368) Prec@5 66.797 (68.994)
Epoch: [28][3770/5005] Time 0.208 (0.225) Data 0.044 (0.078) Loss 2.6000 (2.5278) Prec@1 41.797 (43.372) Prec@5 67.969 (68.999)
Epoch: [28][3780/5005] Time 0.201 (0.225) Data 0.048 (0.078) Loss 2.4661 (2.5278) Prec@1 42.969 (43.374) Prec@5 69.922 (68.998)
Epoch: [28][3790/5005] Time 0.189 (0.225) Data 0.092 (0.078) Loss 2.6431 (2.5277) Prec@1 38.672 (43.374) Prec@5 66.016 (69.001)
Epoch: [28][3800/5005] Time 0.200 (0.225) Data 0.059 (0.078) Loss 2.4857 (2.5279) Prec@1 39.844 (43.370) Prec@5 70.312 (68.999)
Epoch: [28][3810/5005] Time 0.205 (0.225) Data 0.045 (0.078) Loss 2.4877 (2.5279) Prec@1 43.359 (43.367) Prec@5 70.312 (68.998)
Epoch: [28][3820/5005] Time 0.300 (0.225) Data 0.215 (0.078) Loss 2.4527 (2.5277) Prec@1 44.531 (43.370) Prec@5 68.359 (69.001)
Epoch: [28][3830/5005] Time 0.585 (0.225) Data 0.504 (0.079) Loss 2.4954 (2.5274) Prec@1 41.016 (43.373) Prec@5 68.750 (69.005)
Epoch: [28][3840/5005] Time 0.191 (0.225) Data 0.054 (0.079) Loss 2.8153 (2.5275) Prec@1 37.109 (43.370) Prec@5 62.891 (69.002)
Epoch: [28][3850/5005] Time 0.195 (0.225) Data 0.051 (0.079) Loss 2.4380 (2.5273) Prec@1 42.969 (43.372) Prec@5 69.141 (69.004)
Epoch: [28][3860/5005] Time 0.204 (0.225) Data 0.041 (0.079) Loss 2.2162 (2.5273) Prec@1 50.391 (43.373) Prec@5 74.609 (69.005)
Epoch: [28][3870/5005] Time 0.521 (0.225) Data 0.435 (0.079) Loss 2.4251 (2.5272) Prec@1 43.750 (43.371) Prec@5 71.094 (69.006)
Epoch: [28][3880/5005] Time 0.206 (0.225) Data 0.053 (0.079) Loss 2.4721 (2.5271) Prec@1 47.266 (43.374) Prec@5 68.750 (69.008)
Epoch: [28][3890/5005] Time 0.200 (0.225) Data 0.051 (0.079) Loss 2.6883 (2.5271) Prec@1 42.188 (43.375) Prec@5 65.625 (69.009)
Epoch: [28][3900/5005] Time 0.206 (0.225) Data 0.058 (0.079) Loss 2.7437 (2.5271) Prec@1 36.328 (43.373) Prec@5 64.062 (69.011)
Epoch: [28][3910/5005] Time 0.773 (0.225) Data 0.681 (0.079) Loss 2.5896 (2.5271) Prec@1 38.281 (43.373) Prec@5 67.969 (69.011)
Epoch: [28][3920/5005] Time 0.206 (0.225) Data 0.043 (0.079) Loss 2.4638 (2.5269) Prec@1 43.359 (43.376) Prec@5 68.359 (69.014)
Epoch: [28][3930/5005] Time 0.201 (0.225) Data 0.046 (0.079) Loss 2.4504 (2.5268) Prec@1 45.312 (43.375) Prec@5 70.312 (69.017)
Epoch: [28][3940/5005] Time 0.198 (0.225) Data 0.050 (0.079) Loss 2.5602 (2.5266) Prec@1 42.578 (43.377) Prec@5 64.062 (69.017)
Epoch: [28][3950/5005] Time 0.459 (0.225) Data 0.372 (0.079) Loss 2.3262 (2.5265) Prec@1 49.219 (43.380) Prec@5 70.703 (69.020)
Epoch: [28][3960/5005] Time 0.197 (0.225) Data 0.079 (0.079) Loss 2.3513 (2.5264) Prec@1 41.797 (43.380) Prec@5 71.484 (69.022)
Epoch: [28][3970/5005] Time 0.197 (0.225) Data 0.048 (0.079) Loss 2.4586 (2.5264) Prec@1 44.141 (43.380) Prec@5 70.312 (69.023)
Epoch: [28][3980/5005] Time 0.199 (0.225) Data 0.047 (0.079) Loss 2.3825 (2.5263) Prec@1 45.312 (43.382) Prec@5 67.969 (69.023)
Epoch: [28][3990/5005] Time 0.199 (0.225) Data 0.053 (0.079) Loss 2.6462 (2.5264) Prec@1 39.453 (43.375) Prec@5 66.406 (69.022)
Epoch: [28][4000/5005] Time 0.198 (0.225) Data 0.044 (0.079) Loss 2.5102 (2.5263) Prec@1 46.094 (43.375) Prec@5 69.531 (69.024)
Epoch: [28][4010/5005] Time 0.217 (0.225) Data 0.048 (0.079) Loss 2.5993 (2.5261) Prec@1 40.234 (43.377) Prec@5 69.922 (69.027)
Epoch: [28][4020/5005] Time 0.198 (0.225) Data 0.050 (0.079) Loss 2.6020 (2.5260) Prec@1 42.969 (43.377) Prec@5 68.359 (69.027)
Epoch: [28][4030/5005] Time 0.201 (0.225) Data 0.098 (0.079) Loss 2.7116 (2.5262) Prec@1 41.406 (43.375) Prec@5 66.406 (69.024)
Epoch: [28][4040/5005] Time 0.211 (0.225) Data 0.044 (0.079) Loss 2.4668 (2.5263) Prec@1 45.703 (43.376) Prec@5 70.703 (69.023)
Epoch: [28][4050/5005] Time 0.204 (0.225) Data 0.047 (0.079) Loss 2.7326 (2.5262) Prec@1 39.062 (43.378) Prec@5 65.234 (69.026)
Epoch: [28][4060/5005] Time 0.193 (0.225) Data 0.048 (0.079) Loss 2.5022 (2.5261) Prec@1 45.312 (43.380) Prec@5 68.359 (69.029)
Epoch: [28][4070/5005] Time 0.200 (0.225) Data 0.044 (0.079) Loss 2.6667 (2.5260) Prec@1 40.234 (43.380) Prec@5 67.188 (69.030)
Epoch: [28][4080/5005] Time 0.200 (0.225) Data 0.043 (0.079) Loss 2.4524 (2.5258) Prec@1 43.750 (43.383) Prec@5 71.875 (69.032)
Epoch: [28][4090/5005] Time 0.200 (0.225) Data 0.046 (0.079) Loss 2.6286 (2.5257) Prec@1 40.625 (43.383) Prec@5 65.234 (69.032)
Epoch: [28][4100/5005] Time 0.203 (0.225) Data 0.048 (0.079) Loss 2.4226 (2.5256) Prec@1 43.750 (43.383) Prec@5 70.703 (69.034)
Epoch: [28][4110/5005] Time 0.207 (0.225) Data 0.042 (0.079) Loss 2.6072 (2.5255) Prec@1 42.188 (43.382) Prec@5 69.531 (69.037)
Epoch: [28][4120/5005] Time 0.213 (0.225) Data 0.062 (0.079) Loss 2.5821 (2.5253) Prec@1 44.141 (43.384) Prec@5 69.922 (69.041)
Epoch: [28][4130/5005] Time 0.199 (0.225) Data 0.059 (0.079) Loss 2.6101 (2.5252) Prec@1 41.797 (43.385) Prec@5 67.969 (69.043)
Epoch: [28][4140/5005] Time 0.203 (0.225) Data 0.049 (0.079) Loss 2.5598 (2.5252) Prec@1 44.141 (43.385) Prec@5 66.797 (69.043)
Epoch: [28][4150/5005] Time 0.197 (0.225) Data 0.097 (0.079) Loss 2.7577 (2.5251) Prec@1 45.703 (43.388) Prec@5 66.016 (69.046)
Epoch: [28][4160/5005] Time 0.207 (0.225) Data 0.045 (0.079) Loss 2.4846 (2.5252) Prec@1 39.844 (43.387) Prec@5 69.922 (69.046)
Epoch: [28][4170/5005] Time 0.203 (0.225) Data 0.044 (0.079) Loss 2.4021 (2.5250) Prec@1 45.312 (43.391) Prec@5 72.266 (69.050)
Epoch: [28][4180/5005] Time 0.202 (0.225) Data 0.064 (0.079) Loss 2.3723 (2.5249) Prec@1 46.094 (43.395) Prec@5 73.828 (69.053)
Epoch: [28][4190/5005] Time 0.660 (0.225) Data 0.575 (0.079) Loss 2.3532 (2.5248) Prec@1 47.656 (43.398) Prec@5 71.484 (69.053)
Epoch: [28][4200/5005] Time 0.205 (0.225) Data 0.040 (0.079) Loss 2.3923 (2.5248) Prec@1 43.359 (43.397) Prec@5 68.750 (69.053)
Epoch: [28][4210/5005] Time 0.202 (0.225) Data 0.097 (0.079) Loss 2.2093 (2.5246) Prec@1 46.094 (43.402) Prec@5 76.172 (69.056)
Epoch: [28][4220/5005] Time 0.196 (0.225) Data 0.042 (0.079) Loss 2.6894 (2.5248) Prec@1 39.453 (43.397) Prec@5 69.922 (69.055)
Epoch: [28][4230/5005] Time 0.394 (0.225) Data 0.305 (0.079) Loss 2.4440 (2.5247) Prec@1 46.484 (43.401) Prec@5 69.141 (69.056)
Epoch: [28][4240/5005] Time 0.207 (0.225) Data 0.041 (0.079) Loss 2.5091 (2.5247) Prec@1 41.797 (43.397) Prec@5 68.359 (69.056)
Epoch: [28][4250/5005] Time 0.416 (0.225) Data 0.330 (0.079) Loss 2.3625 (2.5245) Prec@1 48.828 (43.403) Prec@5 70.312 (69.059)
Epoch: [28][4260/5005] Time 0.202 (0.225) Data 0.050 (0.079) Loss 2.4196 (2.5245) Prec@1 42.969 (43.401) Prec@5 68.750 (69.058)
Epoch: [28][4270/5005] Time 0.196 (0.225) Data 0.042 (0.079) Loss 2.5901 (2.5245) Prec@1 42.969 (43.401) Prec@5 68.359 (69.058)
Epoch: [28][4280/5005] Time 0.198 (0.225) Data 0.045 (0.079) Loss 2.6027 (2.5245) Prec@1 41.797 (43.402) Prec@5 69.531 (69.058)
Epoch: [28][4290/5005] Time 0.210 (0.225) Data 0.047 (0.079) Loss 2.6727 (2.5245) Prec@1 44.531 (43.403) Prec@5 64.844 (69.057)
Epoch: [28][4300/5005] Time 0.198 (0.225) Data 0.043 (0.079) Loss 2.2573 (2.5243) Prec@1 44.531 (43.407) Prec@5 74.219 (69.060)
Epoch: [28][4310/5005] Time 0.191 (0.225) Data 0.054 (0.079) Loss 2.3209 (2.5242) Prec@1 45.703 (43.410) Prec@5 74.219 (69.060)
Epoch: [28][4320/5005] Time 0.198 (0.225) Data 0.051 (0.079) Loss 2.4297 (2.5242) Prec@1 46.094 (43.410) Prec@5 71.094 (69.061)
Epoch: [28][4330/5005] Time 0.500 (0.225) Data 0.418 (0.079) Loss 2.4361 (2.5242) Prec@1 44.141 (43.409) Prec@5 72.656 (69.060)
Epoch: [28][4340/5005] Time 0.196 (0.225) Data 0.044 (0.079) Loss 2.5549 (2.5242) Prec@1 39.453 (43.409) Prec@5 66.016 (69.059)
Epoch: [28][4350/5005] Time 0.193 (0.225) Data 0.091 (0.079) Loss 2.5488 (2.5240) Prec@1 44.141 (43.410) Prec@5 70.312 (69.064)
Epoch: [28][4360/5005] Time 0.200 (0.225) Data 0.042 (0.079) Loss 2.3219 (2.5238) Prec@1 41.016 (43.411) Prec@5 73.828 (69.069)
Epoch: [28][4370/5005] Time 0.199 (0.225) Data 0.044 (0.079) Loss 2.4362 (2.5237) Prec@1 43.359 (43.413) Prec@5 69.922 (69.069)
Epoch: [28][4380/5005] Time 0.201 (0.225) Data 0.040 (0.079) Loss 2.5423 (2.5236) Prec@1 41.797 (43.414) Prec@5 67.188 (69.069)
Epoch: [28][4390/5005] Time 0.288 (0.225) Data 0.203 (0.079) Loss 2.5712 (2.5234) Prec@1 44.922 (43.421) Prec@5 68.359 (69.072)
Epoch: [28][4400/5005] Time 0.207 (0.225) Data 0.045 (0.079) Loss 2.3675 (2.5233) Prec@1 41.797 (43.421) Prec@5 71.875 (69.073)
Epoch: [28][4410/5005] Time 0.212 (0.225) Data 0.044 (0.079) Loss 2.5087 (2.5232) Prec@1 39.062 (43.422) Prec@5 67.188 (69.074)
Epoch: [28][4420/5005] Time 0.200 (0.225) Data 0.047 (0.079) Loss 2.0604 (2.5230) Prec@1 50.000 (43.425) Prec@5 77.734 (69.078)
Epoch: [28][4430/5005] Time 0.435 (0.225) Data 0.347 (0.079) Loss 2.5195 (2.5228) Prec@1 44.141 (43.431) Prec@5 67.969 (69.082)
Epoch: [28][4440/5005] Time 0.197 (0.225) Data 0.053 (0.079) Loss 2.5790 (2.5227) Prec@1 38.672 (43.433) Prec@5 66.797 (69.084)
Epoch: [28][4450/5005] Time 0.199 (0.225) Data 0.043 (0.079) Loss 2.2636 (2.5226) Prec@1 44.141 (43.436) Prec@5 70.703 (69.084)
Epoch: [28][4460/5005] Time 0.199 (0.225) Data 0.055 (0.079) Loss 2.5466 (2.5224) Prec@1 44.922 (43.440) Prec@5 70.312 (69.087)
Epoch: [28][4470/5005] Time 0.282 (0.225) Data 0.193 (0.079) Loss 2.4229 (2.5223) Prec@1 43.750 (43.442) Prec@5 70.312 (69.089)
Epoch: [28][4480/5005] Time 0.200 (0.225) Data 0.082 (0.079) Loss 2.3377 (2.5224) Prec@1 48.438 (43.441) Prec@5 71.875 (69.089)
Epoch: [28][4490/5005] Time 0.201 (0.225) Data 0.044 (0.079) Loss 2.4821 (2.5225) Prec@1 43.359 (43.441) Prec@5 71.094 (69.088)
Epoch: [28][4500/5005] Time 0.198 (0.225) Data 0.053 (0.079) Loss 2.4573 (2.5224) Prec@1 45.703 (43.445) Prec@5 72.656 (69.091)
Epoch: [28][4510/5005] Time 0.207 (0.225) Data 0.042 (0.079) Loss 2.1788 (2.5223) Prec@1 47.266 (43.444) Prec@5 78.125 (69.092)
Epoch: [28][4520/5005] Time 0.201 (0.225) Data 0.043 (0.079) Loss 2.3852 (2.5221) Prec@1 46.094 (43.449) Prec@5 71.875 (69.096)
Epoch: [28][4530/5005] Time 0.207 (0.225) Data 0.048 (0.079) Loss 2.5223 (2.5221) Prec@1 44.531 (43.449) Prec@5 70.703 (69.097)
Epoch: [28][4540/5005] Time 0.194 (0.225) Data 0.104 (0.079) Loss 2.5711 (2.5222) Prec@1 44.922 (43.444) Prec@5 70.703 (69.097)
Epoch: [28][4550/5005] Time 0.197 (0.225) Data 0.048 (0.079) Loss 2.4534 (2.5221) Prec@1 48.047 (43.447) Prec@5 69.922 (69.097)
Epoch: [28][4560/5005] Time 0.196 (0.225) Data 0.053 (0.079) Loss 2.3851 (2.5220) Prec@1 44.922 (43.447) Prec@5 73.438 (69.098)
Epoch: [28][4570/5005] Time 0.191 (0.225) Data 0.052 (0.079) Loss 2.6864 (2.5219) Prec@1 41.797 (43.446) Prec@5 67.578 (69.100)
Epoch: [28][4580/5005] Time 0.204 (0.225) Data 0.040 (0.079) Loss 2.5920 (2.5218) Prec@1 41.797 (43.451) Prec@5 67.578 (69.103)
Epoch: [28][4590/5005] Time 0.200 (0.225) Data 0.039 (0.079) Loss 2.2883 (2.5218) Prec@1 48.828 (43.452) Prec@5 75.000 (69.105)
Epoch: [28][4600/5005] Time 0.186 (0.225) Data 0.093 (0.079) Loss 2.2743 (2.5218) Prec@1 48.828 (43.453) Prec@5 74.219 (69.104)
Epoch: [28][4610/5005] Time 0.208 (0.225) Data 0.048 (0.079) Loss 2.2312 (2.5217) Prec@1 47.656 (43.457) Prec@5 75.391 (69.107)
Epoch: [28][4620/5005] Time 0.215 (0.225) Data 0.046 (0.079) Loss 2.4138 (2.5216) Prec@1 47.656 (43.456) Prec@5 69.922 (69.107)
Epoch: [28][4630/5005] Time 0.212 (0.225) Data 0.057 (0.079) Loss 2.3227 (2.5214) Prec@1 47.266 (43.459) Prec@5 73.438 (69.113)
Epoch: [28][4640/5005] Time 0.205 (0.225) Data 0.047 (0.079) Loss 2.4393 (2.5213) Prec@1 48.047 (43.461) Prec@5 73.047 (69.116)
Epoch: [28][4650/5005] Time 0.207 (0.225) Data 0.045 (0.079) Loss 2.5055 (2.5212) Prec@1 43.359 (43.464) Prec@5 70.703 (69.116)
Epoch: [28][4660/5005] Time 0.204 (0.225) Data 0.056 (0.079) Loss 2.7338 (2.5211) Prec@1 37.500 (43.467) Prec@5 63.281 (69.117)
Epoch: [28][4670/5005] Time 0.201 (0.225) Data 0.051 (0.079) Loss 2.3483 (2.5210) Prec@1 44.922 (43.468) Prec@5 69.531 (69.117)
Epoch: [28][4680/5005] Time 0.203 (0.225) Data 0.053 (0.079) Loss 2.4387 (2.5209) Prec@1 47.656 (43.471) Prec@5 71.094 (69.118)
Epoch: [28][4690/5005] Time 0.198 (0.225) Data 0.044 (0.080) Loss 2.5246 (2.5209) Prec@1 41.797 (43.470) Prec@5 67.188 (69.119)
Epoch: [28][4700/5005] Time 0.196 (0.225) Data 0.042 (0.080) Loss 2.4570 (2.5208) Prec@1 44.141 (43.471) Prec@5 70.312 (69.119)
Epoch: [28][4710/5005] Time 0.201 (0.225) Data 0.048 (0.080) Loss 2.3291 (2.5206) Prec@1 48.047 (43.476) Prec@5 71.484 (69.123)
Epoch: [28][4720/5005] Time 0.200 (0.225) Data 0.050 (0.080) Loss 2.4269 (2.5205) Prec@1 46.094 (43.476) Prec@5 73.438 (69.124)
Epoch: [28][4730/5005] Time 0.189 (0.225) Data 0.056 (0.079) Loss 2.3944 (2.5205) Prec@1 46.875 (43.479) Prec@5 70.703 (69.125)
Epoch: [28][4740/5005] Time 0.202 (0.225) Data 0.039 (0.079) Loss 2.3514 (2.5204) Prec@1 44.531 (43.483) Prec@5 70.312 (69.128)
Epoch: [28][4750/5005] Time 0.190 (0.225) Data 0.046 (0.079) Loss 2.3705 (2.5201) Prec@1 46.875 (43.487) Prec@5 71.875 (69.133)
Epoch: [28][4760/5005] Time 0.746 (0.225) Data 0.661 (0.080) Loss 2.8360 (2.5199) Prec@1 40.625 (43.490) Prec@5 65.625 (69.135)
Epoch: [28][4770/5005] Time 0.212 (0.225) Data 0.052 (0.079) Loss 2.3377 (2.5198) Prec@1 49.609 (43.494) Prec@5 71.875 (69.136)
Epoch: [28][4780/5005] Time 0.197 (0.225) Data 0.060 (0.079) Loss 2.4730 (2.5199) Prec@1 46.094 (43.495) Prec@5 67.188 (69.135)
Epoch: [28][4790/5005] Time 0.205 (0.225) Data 0.049 (0.079) Loss 2.6837 (2.5198) Prec@1 43.359 (43.498) Prec@5 64.844 (69.135)
Epoch: [28][4800/5005] Time 0.194 (0.225) Data 0.066 (0.079) Loss 2.7459 (2.5197) Prec@1 40.234 (43.500) Prec@5 66.797 (69.137)
Epoch: [28][4810/5005] Time 0.204 (0.225) Data 0.064 (0.080) Loss 2.5391 (2.5195) Prec@1 46.094 (43.503) Prec@5 70.312 (69.139)
Epoch: [28][4820/5005] Time 0.193 (0.225) Data 0.093 (0.080) Loss 2.5999 (2.5193) Prec@1 40.234 (43.508) Prec@5 68.750 (69.143)
Epoch: [28][4830/5005] Time 0.195 (0.225) Data 0.058 (0.080) Loss 2.5085 (2.5191) Prec@1 44.531 (43.512) Prec@5 67.969 (69.145)
Epoch: [28][4840/5005] Time 0.195 (0.225) Data 0.046 (0.080) Loss 2.2454 (2.5191) Prec@1 45.703 (43.510) Prec@5 73.438 (69.146)
Epoch: [28][4850/5005] Time 0.207 (0.225) Data 0.059 (0.080) Loss 2.5767 (2.5191) Prec@1 42.578 (43.511) Prec@5 67.578 (69.145)
Epoch: [28][4860/5005] Time 0.195 (0.225) Data 0.059 (0.080) Loss 2.5176 (2.5190) Prec@1 41.797 (43.513) Prec@5 68.750 (69.144)
Epoch: [28][4870/5005] Time 0.195 (0.225) Data 0.050 (0.080) Loss 2.4719 (2.5190) Prec@1 42.578 (43.516) Prec@5 68.750 (69.143)
Epoch: [28][4880/5005] Time 0.199 (0.225) Data 0.057 (0.080) Loss 2.3716 (2.5189) Prec@1 45.312 (43.519) Prec@5 68.359 (69.145)
Epoch: [28][4890/5005] Time 0.200 (0.225) Data 0.044 (0.080) Loss 2.5338 (2.5187) Prec@1 43.750 (43.521) Prec@5 65.234 (69.147)
Epoch: [28][4900/5005] Time 0.202 (0.225) Data 0.050 (0.080) Loss 2.3681 (2.5187) Prec@1 46.484 (43.521) Prec@5 69.141 (69.149)
Epoch: [28][4910/5005] Time 0.204 (0.225) Data 0.044 (0.080) Loss 2.4332 (2.5184) Prec@1 44.531 (43.526) Prec@5 73.828 (69.154)
Epoch: [28][4920/5005] Time 0.213 (0.225) Data 0.043 (0.080) Loss 2.3323 (2.5182) Prec@1 43.359 (43.527) Prec@5 73.438 (69.155)
Epoch: [28][4930/5005] Time 0.203 (0.225) Data 0.041 (0.080) Loss 2.7070 (2.5181) Prec@1 39.844 (43.528) Prec@5 63.672 (69.158)
Epoch: [28][4940/5005] Time 0.205 (0.225) Data 0.045 (0.080) Loss 2.6417 (2.5181) Prec@1 46.484 (43.528) Prec@5 65.625 (69.155)
Epoch: [28][4950/5005] Time 0.197 (0.225) Data 0.044 (0.080) Loss 2.2642 (2.5181) Prec@1 46.875 (43.528) Prec@5 76.562 (69.156)
Epoch: [28][4960/5005] Time 0.197 (0.225) Data 0.046 (0.080) Loss 2.6421 (2.5181) Prec@1 41.016 (43.528) Prec@5 68.750 (69.155)
Epoch: [28][4970/5005] Time 0.201 (0.225) Data 0.051 (0.080) Loss 2.5658 (2.5179) Prec@1 38.672 (43.528) Prec@5 67.969 (69.160)
Epoch: [28][4980/5005] Time 0.192 (0.225) Data 0.048 (0.080) Loss 2.6069 (2.5177) Prec@1 39.844 (43.532) Prec@5 68.359 (69.164)
Epoch: [28][4990/5005] Time 0.198 (0.225) Data 0.090 (0.080) Loss 2.6548 (2.5176) Prec@1 38.281 (43.536) Prec@5 64.062 (69.164)
Epoch: [28][5000/5005] Time 0.206 (0.226) Data 0.021 (0.080) Loss 2.5544 (2.5175) Prec@1 39.844 (43.537) Prec@5 67.969 (69.165)
Test: [0/196] Time 2.743 (2.743) Loss 2.5307 (2.5307) Prec@1 46.875 (46.875) Prec@5 68.750 (68.750)
Test: [10/196] Time 0.041 (0.413) Loss 2.6287 (2.6762) Prec@1 44.141 (41.797) Prec@5 66.016 (66.974)
Test: [20/196] Time 0.042 (0.300) Loss 2.5533 (2.6750) Prec@1 44.922 (41.481) Prec@5 69.922 (66.983)
Test: [30/196] Time 0.042 (0.269) Loss 2.5353 (2.6788) Prec@1 44.141 (41.331) Prec@5 67.969 (66.847)
Test: [40/196] Time 0.651 (0.269) Loss 2.4518 (2.6772) Prec@1 48.828 (41.692) Prec@5 70.703 (66.997)
Test: [50/196] Time 0.042 (0.258) Loss 2.7422 (2.6746) Prec@1 43.359 (41.690) Prec@5 71.484 (67.195)
Test: [60/196] Time 0.483 (0.258) Loss 2.6041 (2.6663) Prec@1 43.359 (41.867) Prec@5 67.969 (67.360)
Test: [70/196] Time 0.051 (0.250) Loss 2.5866 (2.6598) Prec@1 41.406 (41.951) Prec@5 69.531 (67.419)
Test: [80/196] Time 0.453 (0.247) Loss 2.5086 (2.6634) Prec@1 50.000 (42.052) Prec@5 72.266 (67.419)
Test: [90/196] Time 0.207 (0.243) Loss 2.8057 (2.6658) Prec@1 41.797 (42.123) Prec@5 63.672 (67.394)
Test: [100/196] Time 0.042 (0.241) Loss 2.7367 (2.6637) Prec@1 42.969 (42.296) Prec@5 67.578 (67.493)
Test: [110/196] Time 0.154 (0.239) Loss 2.8680 (2.6649) Prec@1 39.844 (42.353) Prec@5 62.891 (67.575)
Test: [120/196] Time 1.420 (0.246) Loss 2.4823 (2.6622) Prec@1 42.188 (42.368) Prec@5 71.094 (67.652)
Test: [130/196] Time 0.414 (0.241) Loss 2.3822 (2.6594) Prec@1 45.312 (42.384) Prec@5 71.875 (67.671)
Test: [140/196] Time 0.042 (0.236) Loss 2.4592 (2.6611) Prec@1 47.656 (42.370) Prec@5 69.922 (67.647)
Test: [150/196] Time 0.433 (0.237) Loss 2.2871 (2.6584) Prec@1 47.656 (42.425) Prec@5 76.562 (67.749)
Test: [160/196] Time 0.049 (0.238) Loss 2.6216 (2.6569) Prec@1 46.484 (42.445) Prec@5 68.750 (67.775)
Test: [170/196] Time 0.223 (0.235) Loss 2.5164 (2.6587) Prec@1 44.922 (42.400) Prec@5 71.484 (67.759)
Test: [180/196] Time 0.201 (0.233) Loss 2.8522 (2.6633) Prec@1 38.281 (42.313) Prec@5 63.672 (67.667)
Test: [190/196] Time 0.695 (0.234) Loss 2.9428 (2.6670) Prec@1 38.672 (42.269) Prec@5 62.109 (67.566)
* Prec@1 42.294 Prec@5 67.592
Learning rate: 0.0001
Epoch: [29][0/5005] Time 2.319 (2.319) Data 2.208 (2.208) Loss 2.4339 (2.4339) Prec@1 40.234 (40.234) Prec@5 72.266 (72.266)
Epoch: [29][10/5005] Time 0.199 (0.394) Data 0.044 (0.247) Loss 2.3974 (2.5241) Prec@1 43.359 (42.756) Prec@5 73.047 (69.567)
Epoch: [29][20/5005] Time 0.193 (0.302) Data 0.040 (0.150) Loss 2.6866 (2.5379) Prec@1 41.016 (42.522) Prec@5 63.672 (68.620)
Epoch: [29][30/5005] Time 0.201 (0.270) Data 0.045 (0.116) Loss 2.4809 (2.5124) Prec@1 46.484 (43.120) Prec@5 71.875 (68.977)
Epoch: [29][40/5005] Time 0.190 (0.253) Data 0.046 (0.098) Loss 2.5460 (2.5266) Prec@1 41.797 (42.988) Prec@5 68.359 (68.979)
Epoch: [29][50/5005] Time 0.198 (0.242) Data 0.041 (0.088) Loss 2.4341 (2.5226) Prec@1 43.750 (42.930) Prec@5 73.828 (69.125)
Epoch: [29][60/5005] Time 0.193 (0.236) Data 0.044 (0.081) Loss 2.4035 (2.5249) Prec@1 45.312 (42.866) Prec@5 73.047 (69.166)
Epoch: [29][70/5005] Time 0.205 (0.231) Data 0.046 (0.076) Loss 2.5030 (2.5407) Prec@1 44.531 (42.672) Prec@5 66.797 (68.877)
Epoch: [29][80/5005] Time 0.199 (0.227) Data 0.042 (0.072) Loss 2.4563 (2.5356) Prec@1 43.750 (42.819) Prec@5 68.750 (68.986)
Epoch: [29][90/5005] Time 0.207 (0.225) Data 0.048 (0.069) Loss 2.6871 (2.5366) Prec@1 44.922 (42.986) Prec@5 68.359 (68.913)
Epoch: [29][100/5005] Time 0.192 (0.228) Data 0.051 (0.068) Loss 2.2561 (2.5381) Prec@1 49.609 (43.038) Prec@5 73.828 (68.866)
Epoch: [29][110/5005] Time 0.203 (0.225) Data 0.039 (0.066) Loss 2.5793 (2.5396) Prec@1 42.578 (43.102) Prec@5 66.016 (68.891)
Epoch: [29][120/5005] Time 0.199 (0.223) Data 0.039 (0.065) Loss 2.5895 (2.5413) Prec@1 35.156 (43.056) Prec@5 67.188 (68.827)
Epoch: [29][130/5005] Time 0.195 (0.221) Data 0.045 (0.063) Loss 2.5932 (2.5434) Prec@1 44.922 (43.112) Prec@5 67.188 (68.842)
Epoch: [29][140/5005] Time 0.192 (0.220) Data 0.043 (0.062) Loss 2.6486 (2.5420) Prec@1 37.109 (43.152) Prec@5 66.406 (68.858)
Epoch: [29][150/5005] Time 0.422 (0.220) Data 0.335 (0.063) Loss 2.7593 (2.5446) Prec@1 39.453 (43.101) Prec@5 68.359 (68.853)
Epoch: [29][160/5005] Time 0.198 (0.221) Data 0.044 (0.065) Loss 2.4693 (2.5485) Prec@1 44.141 (43.025) Prec@5 69.922 (68.767)
Epoch: [29][170/5005] Time 0.196 (0.222) Data 0.044 (0.067) Loss 2.6863 (2.5499) Prec@1 45.312 (43.051) Prec@5 66.797 (68.743)
Epoch: [29][180/5005] Time 0.240 (0.222) Data 0.154 (0.068) Loss 2.7204 (2.5497) Prec@1 42.969 (43.103) Prec@5 64.453 (68.733)
Epoch: [29][190/5005] Time 0.210 (0.224) Data 0.050 (0.072) Loss 2.7044 (2.5562) Prec@1 41.406 (42.969) Prec@5 65.625 (68.635)
Epoch: [29][200/5005] Time 0.213 (0.225) Data 0.064 (0.074) Loss 2.7231 (2.5552) Prec@1 37.500 (42.969) Prec@5 67.188 (68.657)
Epoch: [29][210/5005] Time 0.211 (0.225) Data 0.118 (0.075) Loss 2.2947 (2.5540) Prec@1 48.047 (42.987) Prec@5 71.484 (68.654)
Epoch: [29][220/5005] Time 0.215 (0.227) Data 0.052 (0.077) Loss 2.5657 (2.5542) Prec@1 43.359 (42.974) Prec@5 70.312 (68.665)
Epoch: [29][230/5005] Time 0.207 (0.226) Data 0.088 (0.077) Loss 2.4743 (2.5546) Prec@1 44.922 (42.964) Prec@5 69.141 (68.667)
Epoch: [29][240/5005] Time 0.381 (0.227) Data 0.296 (0.078) Loss 2.4757 (2.5540) Prec@1 44.141 (42.970) Prec@5 69.531 (68.653)
Epoch: [29][250/5005] Time 0.203 (0.227) Data 0.088 (0.079) Loss 2.5326 (2.5526) Prec@1 44.922 (42.967) Prec@5 68.750 (68.671)
Epoch: [29][260/5005] Time 0.202 (0.229) Data 0.049 (0.081) Loss 2.3569 (2.5522) Prec@1 45.312 (42.952) Prec@5 68.750 (68.662)
Epoch: [29][270/5005] Time 0.204 (0.229) Data 0.049 (0.082) Loss 2.5012 (2.5516) Prec@1 43.359 (42.951) Prec@5 67.969 (68.672)
Epoch: [29][280/5005] Time 0.205 (0.230) Data 0.043 (0.083) Loss 2.7990 (2.5534) Prec@1 37.500 (42.933) Prec@5 63.281 (68.611)
Epoch: [29][290/5005] Time 0.581 (0.231) Data 0.494 (0.085) Loss 2.3770 (2.5545) Prec@1 43.750 (42.875) Prec@5 72.656 (68.585)
Epoch: [29][300/5005] Time 0.209 (0.231) Data 0.065 (0.085) Loss 2.3446 (2.5541) Prec@1 45.312 (42.884) Prec@5 73.047 (68.583)
Epoch: [29][310/5005] Time 0.205 (0.231) Data 0.053 (0.085) Loss 2.4562 (2.5506) Prec@1 44.141 (42.941) Prec@5 68.359 (68.636)
Epoch: [29][320/5005] Time 0.204 (0.232) Data 0.043 (0.086) Loss 2.6860 (2.5511) Prec@1 39.844 (42.937) Prec@5 67.578 (68.651)
Epoch: [29][330/5005] Time 0.468 (0.232) Data 0.386 (0.087) Loss 2.2877 (2.5497) Prec@1 42.969 (42.900) Prec@5 74.219 (68.667)
Epoch: [29][340/5005] Time 0.203 (0.233) Data 0.044 (0.088) Loss 2.7719 (2.5529) Prec@1 38.281 (42.842) Prec@5 67.578 (68.617)
Epoch: [29][350/5005] Time 0.216 (0.232) Data 0.054 (0.087) Loss 2.7341 (2.5526) Prec@1 41.797 (42.823) Prec@5 64.844 (68.600)
Epoch: [29][360/5005] Time 0.221 (0.232) Data 0.049 (0.086) Loss 2.6975 (2.5524) Prec@1 39.844 (42.832) Prec@5 67.188 (68.588)
Epoch: [29][370/5005] Time 0.207 (0.231) Data 0.052 (0.085) Loss 2.4965 (2.5508) Prec@1 41.016 (42.853) Prec@5 66.406 (68.593)
Epoch: [29][380/5005] Time 0.208 (0.231) Data 0.047 (0.084) Loss 2.7499 (2.5513) Prec@1 39.844 (42.849) Prec@5 62.891 (68.561)
Epoch: [29][390/5005] Time 0.221 (0.230) Data 0.048 (0.083) Loss 2.6298 (2.5517) Prec@1 42.578 (42.841) Prec@5 67.578 (68.555)
Epoch: [29][400/5005] Time 0.211 (0.230) Data 0.043 (0.082) Loss 2.4383 (2.5498) Prec@1 43.750 (42.864) Prec@5 72.656 (68.596)
Epoch: [29][410/5005] Time 0.216 (0.229) Data 0.041 (0.081) Loss 2.4088 (2.5495) Prec@1 42.188 (42.858) Prec@5 71.094 (68.619)
Epoch: [29][420/5005] Time 0.214 (0.229) Data 0.045 (0.080) Loss 2.5281 (2.5485) Prec@1 42.969 (42.882) Prec@5 69.141 (68.649)
Epoch: [29][430/5005] Time 0.222 (0.229) Data 0.046 (0.080) Loss 2.4377 (2.5484) Prec@1 46.484 (42.871) Prec@5 69.922 (68.652)
Epoch: [29][440/5005] Time 0.217 (0.228) Data 0.041 (0.079) Loss 2.4278 (2.5475) Prec@1 49.609 (42.887) Prec@5 71.875 (68.667)
Epoch: [29][450/5005] Time 0.212 (0.228) Data 0.040 (0.078) Loss 2.3767 (2.5481) Prec@1 44.922 (42.872) Prec@5 69.531 (68.654)
Epoch: [29][460/5005] Time 0.213 (0.228) Data 0.039 (0.077) Loss 2.5537 (2.5490) Prec@1 37.500 (42.843) Prec@5 67.578 (68.647)
Epoch: [29][470/5005] Time 0.212 (0.228) Data 0.040 (0.077) Loss 2.6608 (2.5510) Prec@1 39.844 (42.815) Prec@5 67.969 (68.610)
Epoch: [29][480/5005] Time 0.208 (0.227) Data 0.047 (0.076) Loss 2.6323 (2.5506) Prec@1 44.922 (42.818) Prec@5 68.750 (68.631)
Epoch: [29][490/5005] Time 0.211 (0.227) Data 0.046 (0.075) Loss 2.5550 (2.5511) Prec@1 47.266 (42.801) Prec@5 67.969 (68.624)
Epoch: [29][500/5005] Time 0.211 (0.227) Data 0.045 (0.075) Loss 2.6796 (2.5528) Prec@1 43.750 (42.812) Prec@5 66.797 (68.590)
Epoch: [29][510/5005] Time 0.205 (0.226) Data 0.050 (0.075) Loss 2.8271 (2.5535) Prec@1 37.109 (42.798) Prec@5 63.281 (68.584)
Epoch: [29][520/5005] Time 0.214 (0.226) Data 0.044 (0.074) Loss 2.5986 (2.5534) Prec@1 41.797 (42.813) Prec@5 65.234 (68.587)
Epoch: [29][530/5005] Time 0.211 (0.226) Data 0.042 (0.074) Loss 2.4153 (2.5530) Prec@1 44.922 (42.794) Prec@5 68.750 (68.590)
Epoch: [29][540/5005] Time 0.213 (0.226) Data 0.045 (0.073) Loss 2.7972 (2.5536) Prec@1 41.406 (42.801) Prec@5 64.453 (68.591)
Epoch: [29][550/5005] Time 0.219 (0.225) Data 0.050 (0.073) Loss 2.4547 (2.5525) Prec@1 47.266 (42.828) Prec@5 72.656 (68.594)
Epoch: [29][560/5005] Time 0.217 (0.225) Data 0.044 (0.072) Loss 2.6670 (2.5526) Prec@1 41.797 (42.846) Prec@5 67.578 (68.600)
Epoch: [29][570/5005] Time 0.218 (0.225) Data 0.041 (0.072) Loss 2.6015 (2.5536) Prec@1 40.625 (42.823) Prec@5 67.578 (68.602)
Epoch: [29][580/5005] Time 0.210 (0.225) Data 0.040 (0.071) Loss 2.6409 (2.5535) Prec@1 39.453 (42.827) Prec@5 64.453 (68.599)
Epoch: [29][590/5005] Time 0.213 (0.225) Data 0.050 (0.071) Loss 2.7644 (2.5533) Prec@1 38.281 (42.829) Prec@5 62.109 (68.583)
Epoch: [29][600/5005] Time 0.205 (0.224) Data 0.045 (0.070) Loss 2.4998 (2.5544) Prec@1 47.266 (42.823) Prec@5 70.312 (68.570)
Epoch: [29][610/5005] Time 0.211 (0.224) Data 0.041 (0.070) Loss 2.4621 (2.5547) Prec@1 44.531 (42.827) Prec@5 75.781 (68.572)
Epoch: [29][620/5005] Time 0.219 (0.224) Data 0.045 (0.069) Loss 2.5789 (2.5540) Prec@1 42.188 (42.860) Prec@5 69.141 (68.590)
Epoch: [29][630/5005] Time 0.210 (0.224) Data 0.046 (0.069) Loss 2.6068 (2.5532) Prec@1 44.922 (42.878) Prec@5 66.797 (68.603)
Epoch: [29][640/5005] Time 0.218 (0.224) Data 0.047 (0.069) Loss 2.4090 (2.5526) Prec@1 44.531 (42.889) Prec@5 69.922 (68.589)
Epoch: [29][650/5005] Time 0.217 (0.224) Data 0.044 (0.068) Loss 2.6542 (2.5534) Prec@1 38.281 (42.864) Prec@5 66.016 (68.580)
Epoch: [29][660/5005] Time 0.211 (0.223) Data 0.046 (0.068) Loss 2.6937 (2.5526) Prec@1 40.625 (42.888) Prec@5 67.969 (68.611)
Epoch: [29][670/5005] Time 0.209 (0.223) Data 0.045 (0.068) Loss 2.8457 (2.5527) Prec@1 37.500 (42.903) Prec@5 64.062 (68.611)
Epoch: [29][680/5005] Time 0.215 (0.223) Data 0.044 (0.067) Loss 2.4939 (2.5526) Prec@1 41.797 (42.895) Prec@5 70.312 (68.620)
Epoch: [29][690/5005] Time 0.214 (0.223) Data 0.043 (0.067) Loss 2.4698 (2.5515) Prec@1 44.922 (42.924) Prec@5 70.703 (68.639)
Epoch: [29][700/5005] Time 0.205 (0.223) Data 0.042 (0.067) Loss 2.7164 (2.5520) Prec@1 42.578 (42.921) Prec@5 64.844 (68.623)
Epoch: [29][710/5005] Time 0.192 (0.223) Data 0.043 (0.067) Loss 2.3422 (2.5515) Prec@1 44.531 (42.937) Prec@5 73.047 (68.629)
Epoch: [29][720/5005] Time 0.218 (0.222) Data 0.042 (0.066) Loss 2.4436 (2.5504) Prec@1 43.359 (42.949) Prec@5 71.875 (68.650)
Epoch: [29][730/5005] Time 0.215 (0.222) Data 0.042 (0.066) Loss 2.6874 (2.5505) Prec@1 39.453 (42.963) Prec@5 69.531 (68.642)
Epoch: [29][740/5005] Time 0.211 (0.222) Data 0.038 (0.066) Loss 2.6784 (2.5505) Prec@1 40.234 (42.965) Prec@5 64.844 (68.630)
Epoch: [29][750/5005] Time 0.221 (0.222) Data 0.042 (0.065) Loss 2.3852 (2.5501) Prec@1 46.094 (42.975) Prec@5 69.531 (68.635)
Epoch: [29][760/5005] Time 0.214 (0.222) Data 0.054 (0.065) Loss 2.5760 (2.5498) Prec@1 43.750 (42.974) Prec@5 69.922 (68.640)
Epoch: [29][770/5005] Time 0.206 (0.222) Data 0.047 (0.065) Loss 2.5612 (2.5487) Prec@1 42.188 (42.996) Prec@5 67.578 (68.658)
Epoch: [29][780/5005] Time 0.215 (0.222) Data 0.045 (0.065) Loss 2.5478 (2.5481) Prec@1 43.750 (43.002) Prec@5 66.797 (68.660)
Epoch: [29][790/5005] Time 0.213 (0.221) Data 0.046 (0.064) Loss 2.6064 (2.5477) Prec@1 42.969 (43.010) Prec@5 66.797 (68.656)
Epoch: [29][800/5005] Time 0.201 (0.221) Data 0.051 (0.064) Loss 2.2950 (2.5470) Prec@1 46.484 (43.032) Prec@5 73.828 (68.657)
Epoch: [29][810/5005] Time 0.210 (0.221) Data 0.047 (0.064) Loss 2.6476 (2.5472) Prec@1 39.844 (43.022) Prec@5 65.234 (68.656)
Epoch: [29][820/5005] Time 0.209 (0.222) Data 0.041 (0.065) Loss 2.6045 (2.5471) Prec@1 42.578 (43.026) Prec@5 67.188 (68.660)
Epoch: [29][830/5005] Time 0.499 (0.222) Data 0.409 (0.066) Loss 2.4755 (2.5471) Prec@1 42.188 (43.022) Prec@5 69.531 (68.656)
Epoch: [29][840/5005] Time 0.247 (0.222) Data 0.158 (0.066) Loss 2.6021 (2.5475) Prec@1 42.578 (43.018) Prec@5 64.453 (68.663)
Epoch: [29][850/5005] Time 0.216 (0.222) Data 0.136 (0.066) Loss 2.7394 (2.5471) Prec@1 41.016 (43.027) Prec@5 67.969 (68.677)
Epoch: [29][860/5005] Time 0.202 (0.222) Data 0.066 (0.067) Loss 2.5415 (2.5474) Prec@1 41.406 (43.021) Prec@5 66.797 (68.671)
Epoch: [29][870/5005] Time 0.211 (0.222) Data 0.048 (0.067) Loss 2.5631 (2.5459) Prec@1 41.016 (43.046) Prec@5 68.359 (68.694)
Epoch: [29][880/5005] Time 0.197 (0.222) Data 0.050 (0.067) Loss 2.5774 (2.5463) Prec@1 44.531 (43.053) Prec@5 64.844 (68.682)
Epoch: [29][890/5005] Time 0.195 (0.223) Data 0.046 (0.068) Loss 2.9837 (2.5465) Prec@1 35.156 (43.047) Prec@5 58.203 (68.672)
Epoch: [29][900/5005] Time 0.207 (0.222) Data 0.042 (0.067) Loss 2.4174 (2.5460) Prec@1 41.797 (43.042) Prec@5 73.828 (68.680)
Epoch: [29][910/5005] Time 0.193 (0.222) Data 0.057 (0.068) Loss 2.5544 (2.5461) Prec@1 45.312 (43.048) Prec@5 69.531 (68.670)
Epoch: [29][920/5005] Time 0.200 (0.223) Data 0.052 (0.068) Loss 2.5212 (2.5456) Prec@1 43.359 (43.065) Prec@5 69.531 (68.675)
Epoch: [29][930/5005] Time 0.208 (0.224) Data 0.060 (0.069) Loss 2.4958 (2.5451) Prec@1 48.438 (43.078) Prec@5 67.188 (68.679)
Epoch: [29][940/5005] Time 0.201 (0.224) Data 0.073 (0.070) Loss 2.3602 (2.5456) Prec@1 47.656 (43.075) Prec@5 71.484 (68.679)
Epoch: [29][950/5005] Time 0.207 (0.224) Data 0.057 (0.070) Loss 2.5667 (2.5462) Prec@1 42.578 (43.062) Prec@5 68.359 (68.674)
Epoch: [29][960/5005] Time 0.200 (0.224) Data 0.064 (0.071) Loss 2.7708 (2.5463) Prec@1 40.234 (43.063) Prec@5 65.625 (68.668)
Epoch: [29][970/5005] Time 0.200 (0.225) Data 0.051 (0.072) Loss 2.2714 (2.5456) Prec@1 51.172 (43.080) Prec@5 70.703 (68.672)
Epoch: [29][980/5005] Time 0.203 (0.225) Data 0.062 (0.072) Loss 2.4586 (2.5449) Prec@1 45.312 (43.088) Prec@5 69.531 (68.676)
Epoch: [29][990/5005] Time 0.211 (0.224) Data 0.045 (0.072) Loss 2.6360 (2.5450) Prec@1 41.406 (43.088) Prec@5 65.234 (68.670)
Epoch: [29][1000/5005] Time 0.213 (0.224) Data 0.047 (0.071) Loss 2.4878 (2.5447) Prec@1 47.266 (43.085) Prec@5 69.922 (68.676)
Epoch: [29][1010/5005] Time 0.210 (0.224) Data 0.039 (0.071) Loss 2.5549 (2.5442) Prec@1 45.312 (43.104) Prec@5 67.969 (68.685)
Epoch: [29][1020/5005] Time 0.215 (0.224) Data 0.044 (0.071) Loss 2.3674 (2.5446) Prec@1 48.047 (43.103) Prec@5 73.047 (68.677)
Epoch: [29][1030/5005] Time 0.205 (0.224) Data 0.046 (0.071) Loss 2.4146 (2.5439) Prec@1 45.312 (43.114) Prec@5 67.188 (68.682)
Epoch: [29][1040/5005] Time 0.211 (0.224) Data 0.040 (0.070) Loss 2.7046 (2.5436) Prec@1 35.547 (43.112) Prec@5 67.578 (68.687)
Epoch: [29][1050/5005] Time 0.223 (0.224) Data 0.044 (0.070) Loss 2.6759 (2.5437) Prec@1 39.844 (43.101) Prec@5 69.141 (68.692)
Epoch: [29][1060/5005] Time 0.200 (0.223) Data 0.049 (0.070) Loss 2.6081 (2.5440) Prec@1 40.625 (43.093) Prec@5 68.750 (68.693)
Epoch: [29][1070/5005] Time 0.205 (0.223) Data 0.044 (0.070) Loss 2.5525 (2.5435) Prec@1 45.703 (43.106) Prec@5 68.359 (68.696)
Epoch: [29][1080/5005] Time 0.199 (0.223) Data 0.054 (0.069) Loss 2.6165 (2.5440) Prec@1 40.234 (43.103) Prec@5 67.969 (68.687)
Epoch: [29][1090/5005] Time 0.211 (0.223) Data 0.044 (0.069) Loss 2.4111 (2.5437) Prec@1 45.312 (43.103) Prec@5 69.531 (68.692)
Epoch: [29][1100/5005] Time 0.200 (0.223) Data 0.059 (0.069) Loss 2.4811 (2.5429) Prec@1 44.922 (43.116) Prec@5 70.312 (68.707)
Epoch: [29][1110/5005] Time 0.210 (0.223) Data 0.048 (0.069) Loss 2.5502 (2.5430) Prec@1 42.969 (43.115) Prec@5 68.750 (68.716)
Epoch: [29][1120/5005] Time 0.200 (0.223) Data 0.059 (0.069) Loss 2.4497 (2.5423) Prec@1 44.141 (43.121) Prec@5 69.141 (68.721)
Epoch: [29][1130/5005] Time 0.208 (0.223) Data 0.041 (0.069) Loss 2.5625 (2.5425) Prec@1 46.094 (43.123) Prec@5 67.969 (68.724)
Epoch: [29][1140/5005] Time 0.200 (0.222) Data 0.052 (0.068) Loss 2.6524 (2.5420) Prec@1 41.797 (43.125) Prec@5 68.359 (68.741)
Epoch: [29][1150/5005] Time 0.213 (0.222) Data 0.056 (0.068) Loss 2.6272 (2.5416) Prec@1 40.234 (43.131) Prec@5 66.797 (68.756)
Epoch: [29][1160/5005] Time 0.207 (0.222) Data 0.048 (0.068) Loss 2.5691 (2.5415) Prec@1 42.969 (43.125) Prec@5 67.969 (68.756)
Epoch: [29][1170/5005] Time 0.203 (0.222) Data 0.059 (0.068) Loss 2.4113 (2.5414) Prec@1 46.484 (43.136) Prec@5 70.312 (68.761)
Epoch: [29][1180/5005] Time 0.210 (0.222) Data 0.047 (0.068) Loss 2.6290 (2.5412) Prec@1 42.969 (43.139) Prec@5 66.797 (68.757)
Epoch: [29][1190/5005] Time 0.209 (0.222) Data 0.042 (0.068) Loss 2.3301 (2.5406) Prec@1 47.266 (43.149) Prec@5 71.484 (68.767)
Epoch: [29][1200/5005] Time 0.204 (0.222) Data 0.044 (0.067) Loss 2.6916 (2.5407) Prec@1 40.234 (43.155) Prec@5 67.188 (68.769)
Epoch: [29][1210/5005] Time 0.203 (0.222) Data 0.041 (0.067) Loss 2.5128 (2.5410) Prec@1 42.578 (43.152) Prec@5 69.531 (68.775)
Epoch: [29][1220/5005] Time 0.314 (0.222) Data 0.227 (0.068) Loss 2.4017 (2.5411) Prec@1 45.312 (43.150) Prec@5 69.531 (68.775)
Epoch: [29][1230/5005] Time 0.208 (0.222) Data 0.047 (0.068) Loss 2.6359 (2.5412) Prec@1 44.922 (43.142) Prec@5 69.531 (68.775)
Epoch: [29][1240/5005] Time 0.203 (0.222) Data 0.049 (0.068) Loss 2.4063 (2.5410) Prec@1 46.094 (43.140) Prec@5 66.797 (68.767)
Epoch: [29][1250/5005] Time 0.224 (0.222) Data 0.137 (0.068) Loss 2.8058 (2.5417) Prec@1 38.281 (43.128) Prec@5 62.891 (68.757)
Epoch: [29][1260/5005] Time 0.201 (0.222) Data 0.049 (0.068) Loss 2.2916 (2.5409) Prec@1 50.391 (43.143) Prec@5 70.312 (68.770)
Epoch: [29][1270/5005] Time 0.198 (0.222) Data 0.053 (0.068) Loss 2.5811 (2.5414) Prec@1 41.406 (43.138) Prec@5 65.234 (68.759)
Epoch: [29][1280/5005] Time 0.207 (0.222) Data 0.045 (0.069) Loss 2.3933 (2.5418) Prec@1 48.047 (43.143) Prec@5 69.141 (68.746)
Epoch: [29][1290/5005] Time 0.192 (0.222) Data 0.044 (0.069) Loss 2.4547 (2.5416) Prec@1 44.141 (43.151) Prec@5 69.141 (68.751)
Epoch: [29][1300/5005] Time 0.195 (0.222) Data 0.044 (0.069) Loss 2.4266 (2.5413) Prec@1 43.750 (43.155) Prec@5 69.531 (68.759)
Epoch: [29][1310/5005] Time 0.265 (0.222) Data 0.176 (0.069) Loss 2.6330 (2.5413) Prec@1 44.141 (43.156) Prec@5 66.016 (68.764)
Epoch: [29][1320/5005] Time 0.201 (0.222) Data 0.049 (0.069) Loss 2.5963 (2.5411) Prec@1 44.922 (43.162) Prec@5 68.359 (68.774)
Epoch: [29][1330/5005] Time 0.203 (0.223) Data 0.052 (0.069) Loss 2.6308 (2.5415) Prec@1 40.234 (43.152) Prec@5 65.625 (68.763)
Epoch: [29][1340/5005] Time 0.206 (0.222) Data 0.042 (0.069) Loss 2.5529 (2.5412) Prec@1 44.531 (43.152) Prec@5 69.531 (68.766)
Epoch: [29][1350/5005] Time 0.204 (0.222) Data 0.051 (0.069) Loss 2.9431 (2.5411) Prec@1 36.719 (43.147) Prec@5 65.234 (68.770)
Epoch: [29][1360/5005] Time 0.214 (0.222) Data 0.041 (0.069) Loss 2.4805 (2.5406) Prec@1 44.922 (43.154) Prec@5 67.578 (68.778)
Epoch: [29][1370/5005] Time 0.212 (0.222) Data 0.047 (0.069) Loss 2.5592 (2.5401) Prec@1 40.234 (43.158) Prec@5 67.969 (68.785)
Epoch: [29][1380/5005] Time 0.213 (0.222) Data 0.042 (0.069) Loss 2.4953 (2.5398) Prec@1 45.312 (43.167) Prec@5 73.438 (68.793)
Epoch: [29][1390/5005] Time 0.213 (0.222) Data 0.047 (0.069) Loss 2.4621 (2.5395) Prec@1 40.625 (43.170) Prec@5 71.484 (68.801)
Epoch: [29][1400/5005] Time 0.211 (0.222) Data 0.130 (0.069) Loss 2.4877 (2.5388) Prec@1 41.797 (43.185) Prec@5 69.922 (68.814)
Epoch: [29][1410/5005] Time 0.193 (0.222) Data 0.049 (0.070) Loss 2.4185 (2.5385) Prec@1 46.484 (43.192) Prec@5 71.875 (68.819)
Epoch: [29][1420/5005] Time 0.211 (0.222) Data 0.046 (0.070) Loss 2.7199 (2.5386) Prec@1 42.188 (43.194) Prec@5 64.062 (68.812)
Epoch: [29][1430/5005] Time 0.205 (0.223) Data 0.044 (0.070) Loss 2.1795 (2.5384) Prec@1 46.875 (43.199) Prec@5 76.562 (68.817)
Epoch: [29][1440/5005] Time 0.479 (0.223) Data 0.398 (0.070) Loss 2.3374 (2.5383) Prec@1 45.703 (43.196) Prec@5 74.609 (68.813)
Epoch: [29][1450/5005] Time 0.203 (0.223) Data 0.043 (0.070) Loss 2.5992 (2.5384) Prec@1 45.312 (43.201) Prec@5 67.969 (68.811)
Epoch: [29][1460/5005] Time 0.213 (0.222) Data 0.042 (0.070) Loss 2.6346 (2.5382) Prec@1 41.406 (43.207) Prec@5 64.062 (68.810)
Epoch: [29][1470/5005] Time 0.207 (0.222) Data 0.047 (0.070) Loss 2.6082 (2.5382) Prec@1 38.672 (43.203) Prec@5 67.578 (68.806)
Epoch: [29][1480/5005] Time 0.198 (0.222) Data 0.053 (0.070) Loss 2.3567 (2.5384) Prec@1 47.266 (43.200) Prec@5 71.875 (68.800)
Epoch: [29][1490/5005] Time 0.204 (0.222) Data 0.041 (0.070) Loss 2.6565 (2.5381) Prec@1 41.797 (43.209) Prec@5 64.062 (68.805)
Epoch: [29][1500/5005] Time 0.209 (0.222) Data 0.054 (0.070) Loss 2.5838 (2.5379) Prec@1 40.625 (43.209) Prec@5 67.188 (68.809)
Epoch: [29][1510/5005] Time 0.217 (0.222) Data 0.047 (0.070) Loss 2.4382 (2.5375) Prec@1 40.234 (43.214) Prec@5 66.406 (68.820)
Epoch: [29][1520/5005] Time 0.216 (0.222) Data 0.043 (0.070) Loss 2.6812 (2.5376) Prec@1 43.359 (43.213) Prec@5 64.844 (68.814)
Epoch: [29][1530/5005] Time 0.217 (0.223) Data 0.048 (0.070) Loss 2.7345 (2.5373) Prec@1 40.234 (43.224) Prec@5 67.969 (68.819)
Epoch: [29][1540/5005] Time 0.198 (0.222) Data 0.050 (0.070) Loss 2.5716 (2.5377) Prec@1 42.969 (43.217) Prec@5 69.922 (68.808)
Epoch: [29][1550/5005] Time 0.205 (0.222) Data 0.040 (0.070) Loss 2.4053 (2.5373) Prec@1 48.047 (43.225) Prec@5 73.438 (68.812)
Epoch: [29][1560/5005] Time 0.459 (0.222) Data 0.374 (0.070) Loss 2.3390 (2.5374) Prec@1 45.312 (43.231) Prec@5 71.484 (68.814)
Epoch: [29][1570/5005] Time 0.197 (0.222) Data 0.052 (0.070) Loss 2.3545 (2.5370) Prec@1 46.484 (43.237) Prec@5 72.266 (68.820)
Epoch: [29][1580/5005] Time 0.199 (0.223) Data 0.053 (0.071) Loss 2.3166 (2.5369) Prec@1 44.922 (43.234) Prec@5 73.828 (68.819)
Epoch: [29][1590/5005] Time 0.191 (0.223) Data 0.084 (0.071) Loss 2.5361 (2.5370) Prec@1 41.016 (43.226) Prec@5 67.969 (68.819)
Epoch: [29][1600/5005] Time 0.202 (0.223) Data 0.045 (0.071) Loss 2.5107 (2.5370) Prec@1 41.406 (43.228) Prec@5 71.484 (68.829)
Epoch: [29][1610/5005] Time 0.203 (0.223) Data 0.044 (0.071) Loss 2.6857 (2.5371) Prec@1 42.578 (43.230) Prec@5 65.625 (68.827)
Epoch: [29][1620/5005] Time 0.217 (0.223) Data 0.046 (0.071) Loss 2.6579 (2.5368) Prec@1 39.062 (43.231) Prec@5 69.531 (68.830)
Epoch: [29][1630/5005] Time 0.276 (0.223) Data 0.192 (0.071) Loss 2.4812 (2.5368) Prec@1 45.312 (43.229) Prec@5 69.141 (68.828)
Epoch: [29][1640/5005] Time 0.202 (0.223) Data 0.045 (0.071) Loss 2.5490 (2.5373) Prec@1 46.484 (43.227) Prec@5 69.141 (68.818)
Epoch: [29][1650/5005] Time 0.301 (0.223) Data 0.224 (0.071) Loss 2.5834 (2.5372) Prec@1 43.750 (43.233) Prec@5 68.750 (68.819)
Epoch: [29][1660/5005] Time 0.202 (0.223) Data 0.050 (0.071) Loss 2.5155 (2.5364) Prec@1 42.188 (43.246) Prec@5 67.969 (68.829)
Epoch: [29][1670/5005] Time 0.205 (0.223) Data 0.044 (0.071) Loss 2.3072 (2.5362) Prec@1 48.438 (43.250) Prec@5 71.484 (68.828)
Epoch: [29][1680/5005] Time 0.208 (0.223) Data 0.048 (0.071) Loss 2.7153 (2.5364) Prec@1 42.969 (43.250) Prec@5 67.578 (68.830)
Epoch: [29][1690/5005] Time 0.203 (0.223) Data 0.057 (0.071) Loss 2.3055 (2.5361) Prec@1 44.141 (43.251) Prec@5 72.656 (68.837)
Epoch: [29][1700/5005] Time 0.207 (0.223) Data 0.043 (0.071) Loss 2.5221 (2.5356) Prec@1 41.016 (43.256) Prec@5 70.703 (68.847)
Epoch: [29][1710/5005] Time 0.355 (0.223) Data 0.269 (0.071) Loss 2.4645 (2.5351) Prec@1 43.750 (43.261) Prec@5 66.797 (68.856)
Epoch: [29][1720/5005] Time 0.212 (0.223) Data 0.047 (0.072) Loss 2.5991 (2.5351) Prec@1 42.578 (43.252) Prec@5 69.922 (68.857)
Epoch: [29][1730/5005] Time 0.214 (0.223) Data 0.049 (0.072) Loss 2.5477 (2.5351) Prec@1 39.062 (43.249) Prec@5 67.578 (68.859)
Epoch: [29][1740/5005] Time 0.191 (0.223) Data 0.057 (0.072) Loss 2.5254 (2.5347) Prec@1 40.234 (43.250) Prec@5 69.141 (68.867)
Epoch: [29][1750/5005] Time 0.194 (0.223) Data 0.098 (0.072) Loss 2.4887 (2.5345) Prec@1 43.750 (43.253) Prec@5 71.094 (68.877)
Epoch: [29][1760/5005] Time 0.202 (0.223) Data 0.048 (0.072) Loss 2.3366 (2.5344) Prec@1 45.312 (43.254) Prec@5 76.172 (68.880)
Epoch: [29][1770/5005] Time 0.193 (0.223) Data 0.045 (0.072) Loss 2.6286 (2.5342) Prec@1 40.234 (43.256) Prec@5 67.188 (68.881)
Epoch: [29][1780/5005] Time 0.204 (0.223) Data 0.052 (0.072) Loss 2.4801 (2.5340) Prec@1 46.094 (43.256) Prec@5 69.141 (68.882)
Epoch: [29][1790/5005] Time 0.207 (0.223) Data 0.040 (0.072) Loss 2.4289 (2.5336) Prec@1 43.750 (43.260) Prec@5 67.578 (68.883)
Epoch: [29][1800/5005] Time 0.201 (0.223) Data 0.048 (0.072) Loss 2.5380 (2.5332) Prec@1 44.531 (43.261) Prec@5 70.312 (68.894)
Epoch: [29][1810/5005] Time 0.204 (0.223) Data 0.046 (0.072) Loss 2.3396 (2.5329) Prec@1 46.484 (43.265) Prec@5 71.875 (68.904)
Epoch: [29][1820/5005] Time 0.233 (0.223) Data 0.153 (0.072) Loss 2.5292 (2.5326) Prec@1 45.703 (43.270) Prec@5 70.312 (68.908)
Epoch: [29][1830/5005] Time 0.199 (0.223) Data 0.076 (0.072) Loss 2.2998 (2.5322) Prec@1 48.828 (43.280) Prec@5 74.219 (68.911)
Epoch: [29][1840/5005] Time 0.199 (0.223) Data 0.047 (0.072) Loss 2.5426 (2.5317) Prec@1 41.406 (43.286) Prec@5 71.875 (68.919)
Epoch: [29][1850/5005] Time 0.218 (0.223) Data 0.044 (0.072) Loss 2.6067 (2.5317) Prec@1 42.188 (43.292) Prec@5 69.531 (68.917)
Epoch: [29][1860/5005] Time 0.205 (0.223) Data 0.043 (0.072) Loss 2.5096 (2.5315) Prec@1 43.750 (43.293) Prec@5 71.875 (68.923)
Epoch: [29][1870/5005] Time 0.204 (0.223) Data 0.045 (0.072) Loss 2.7062 (2.5317) Prec@1 41.016 (43.294) Prec@5 67.578 (68.925)
Epoch: [29][1880/5005] Time 0.202 (0.223) Data 0.053 (0.072) Loss 2.4521 (2.5317) Prec@1 47.266 (43.297) Prec@5 70.312 (68.925)
Epoch: [29][1890/5005] Time 0.289 (0.223) Data 0.211 (0.073) Loss 2.4885 (2.5317) Prec@1 43.750 (43.294) Prec@5 68.359 (68.928)
Epoch: [29][1900/5005] Time 0.207 (0.223) Data 0.048 (0.073) Loss 2.4995 (2.5322) Prec@1 46.094 (43.286) Prec@5 70.312 (68.915)
Epoch: [29][1910/5005] Time 0.203 (0.223) Data 0.048 (0.073) Loss 2.3364 (2.5321) Prec@1 40.625 (43.279) Prec@5 74.219 (68.918)
Epoch: [29][1920/5005] Time 0.203 (0.223) Data 0.048 (0.073) Loss 2.4987 (2.5318) Prec@1 42.188 (43.274) Prec@5 71.094 (68.923)
Epoch: [29][1930/5005] Time 0.236 (0.223) Data 0.152 (0.073) Loss 2.4486 (2.5315) Prec@1 48.438 (43.283) Prec@5 69.141 (68.927)
Epoch: [29][1940/5005] Time 0.188 (0.223) Data 0.105 (0.073) Loss 2.2572 (2.5313) Prec@1 49.609 (43.287) Prec@5 74.609 (68.929)
Epoch: [29][1950/5005] Time 0.207 (0.223) Data 0.049 (0.073) Loss 2.5169 (2.5311) Prec@1 41.797 (43.286) Prec@5 70.703 (68.933)
Epoch: [29][1960/5005] Time 0.219 (0.223) Data 0.045 (0.073) Loss 2.4364 (2.5308) Prec@1 42.188 (43.291) Prec@5 69.141 (68.940)
Epoch: [29][1970/5005] Time 0.203 (0.223) Data 0.049 (0.073) Loss 2.5802 (2.5309) Prec@1 39.844 (43.282) Prec@5 70.312 (68.941)
Epoch: [29][1980/5005] Time 0.344 (0.223) Data 0.265 (0.073) Loss 2.2334 (2.5307) Prec@1 48.828 (43.288) Prec@5 71.484 (68.944)
Epoch: [29][1990/5005] Time 0.196 (0.223) Data 0.048 (0.073) Loss 2.3593 (2.5304) Prec@1 44.531 (43.290) Prec@5 72.266 (68.954)
Epoch: [29][2000/5005] Time 0.197 (0.223) Data 0.044 (0.073) Loss 2.2887 (2.5306) Prec@1 48.047 (43.288) Prec@5 71.484 (68.951)
Epoch: [29][2010/5005] Time 0.204 (0.223) Data 0.039 (0.073) Loss 2.5009 (2.5306) Prec@1 44.141 (43.287) Prec@5 69.531 (68.950)
Epoch: [29][2020/5005] Time 0.338 (0.223) Data 0.253 (0.073) Loss 2.4451 (2.5305) Prec@1 46.875 (43.293) Prec@5 70.703 (68.951)
Epoch: [29][2030/5005] Time 0.205 (0.223) Data 0.050 (0.073) Loss 2.4590 (2.5305) Prec@1 42.578 (43.296) Prec@5 72.266 (68.949)
Epoch: [29][2040/5005] Time 0.203 (0.223) Data 0.050 (0.073) Loss 2.2592 (2.5303) Prec@1 47.266 (43.301) Prec@5 73.828 (68.957)
Epoch: [29][2050/5005] Time 0.470 (0.223) Data 0.386 (0.074) Loss 2.6510 (2.5302) Prec@1 42.188 (43.302) Prec@5 67.578 (68.959)
Epoch: [29][2060/5005] Time 0.199 (0.223) Data 0.050 (0.074) Loss 2.6222 (2.5303) Prec@1 39.453 (43.298) Prec@5 66.406 (68.958)
Epoch: [29][2070/5005] Time 0.195 (0.223) Data 0.048 (0.074) Loss 2.7049 (2.5306) Prec@1 40.625 (43.295) Prec@5 67.969 (68.952)
Epoch: [29][2080/5005] Time 0.208 (0.223) Data 0.044 (0.074) Loss 2.5207 (2.5305) Prec@1 42.188 (43.296) Prec@5 68.750 (68.955)
Epoch: [29][2090/5005] Time 0.193 (0.223) Data 0.044 (0.074) Loss 2.3532 (2.5301) Prec@1 44.141 (43.298) Prec@5 71.484 (68.960)
Epoch: [29][2100/5005] Time 0.206 (0.223) Data 0.044 (0.074) Loss 2.4578 (2.5297) Prec@1 40.625 (43.304) Prec@5 69.141 (68.967)
Epoch: [29][2110/5005] Time 0.280 (0.223) Data 0.195 (0.074) Loss 2.4736 (2.5295) Prec@1 44.922 (43.308) Prec@5 70.312 (68.970)
Epoch: [29][2120/5005] Time 0.199 (0.223) Data 0.046 (0.074) Loss 2.5837 (2.5292) Prec@1 41.016 (43.312) Prec@5 68.359 (68.976)
Epoch: [29][2130/5005] Time 0.198 (0.223) Data 0.041 (0.074) Loss 2.5398 (2.5288) Prec@1 44.141 (43.322) Prec@5 69.141 (68.988)
Epoch: [29][2140/5005] Time 0.198 (0.224) Data 0.047 (0.074) Loss 2.4189 (2.5288) Prec@1 44.922 (43.323) Prec@5 70.312 (68.987)
Epoch: [29][2150/5005] Time 0.432 (0.224) Data 0.350 (0.074) Loss 2.3706 (2.5287) Prec@1 49.609 (43.327) Prec@5 71.484 (68.990)
Epoch: [29][2160/5005] Time 0.202 (0.224) Data 0.047 (0.074) Loss 2.3662 (2.5285) Prec@1 46.484 (43.328) Prec@5 71.875 (68.994)
Epoch: [29][2170/5005] Time 0.194 (0.224) Data 0.047 (0.074) Loss 2.3815 (2.5280) Prec@1 45.312 (43.331) Prec@5 73.047 (69.006)
Epoch: [29][2180/5005] Time 0.215 (0.224) Data 0.047 (0.074) Loss 2.4593 (2.5279) Prec@1 46.484 (43.331) Prec@5 67.969 (69.010)
Epoch: [29][2190/5005] Time 0.203 (0.224) Data 0.051 (0.074) Loss 2.6960 (2.5278) Prec@1 40.234 (43.334) Prec@5 66.016 (69.008)
Epoch: [29][2200/5005] Time 0.205 (0.224) Data 0.047 (0.074) Loss 2.6121 (2.5280) Prec@1 42.188 (43.332) Prec@5 67.578 (69.010)
Epoch: [29][2210/5005] Time 0.202 (0.224) Data 0.039 (0.074) Loss 2.6981 (2.5284) Prec@1 39.844 (43.329) Prec@5 67.578 (69.003)
Epoch: [29][2220/5005] Time 0.300 (0.224) Data 0.216 (0.074) Loss 2.6651 (2.5281) Prec@1 43.750 (43.336) Prec@5 64.453 (69.003)
Epoch: [29][2230/5005] Time 0.201 (0.224) Data 0.040 (0.074) Loss 2.5195 (2.5281) Prec@1 42.578 (43.330) Prec@5 67.969 (69.002)
Epoch: [29][2240/5005] Time 0.198 (0.224) Data 0.047 (0.074) Loss 2.5041 (2.5281) Prec@1 41.406 (43.329) Prec@5 70.703 (69.001)
Epoch: [29][2250/5005] Time 0.235 (0.223) Data 0.152 (0.074) Loss 2.4107 (2.5281) Prec@1 43.359 (43.327) Prec@5 69.922 (69.003)
Epoch: [29][2260/5005] Time 0.196 (0.223) Data 0.045 (0.074) Loss 2.3702 (2.5278) Prec@1 43.359 (43.330) Prec@5 71.094 (69.004)
Epoch: [29][2270/5005] Time 0.201 (0.223) Data 0.043 (0.074) Loss 2.6213 (2.5274) Prec@1 41.406 (43.342) Prec@5 67.188 (69.007)
Epoch: [29][2280/5005] Time 0.194 (0.223) Data 0.048 (0.074) Loss 2.6141 (2.5273) Prec@1 42.578 (43.345) Prec@5 67.578 (69.010)
Epoch: [29][2290/5005] Time 0.190 (0.223) Data 0.059 (0.074) Loss 2.2097 (2.5272) Prec@1 53.906 (43.343) Prec@5 73.438 (69.016)
Epoch: [29][2300/5005] Time 0.198 (0.223) Data 0.050 (0.074) Loss 2.5068 (2.5274) Prec@1 46.094 (43.343) Prec@5 66.016 (69.009)
Epoch: [29][2310/5005] Time 0.204 (0.223) Data 0.058 (0.074) Loss 2.3550 (2.5270) Prec@1 46.875 (43.354) Prec@5 71.875 (69.013)
Epoch: [29][2320/5005] Time 0.197 (0.224) Data 0.041 (0.074) Loss 2.5936 (2.5269) Prec@1 41.406 (43.354) Prec@5 69.141 (69.016)
Epoch: [29][2330/5005] Time 0.205 (0.224) Data 0.047 (0.074) Loss 2.4857 (2.5269) Prec@1 44.141 (43.358) Prec@5 71.094 (69.015)
Epoch: [29][2340/5005] Time 0.209 (0.224) Data 0.044 (0.074) Loss 2.5783 (2.5265) Prec@1 39.844 (43.363) Prec@5 67.578 (69.022)
Epoch: [29][2350/5005] Time 0.203 (0.224) Data 0.045 (0.074) Loss 2.5137 (2.5263) Prec@1 42.969 (43.362) Prec@5 68.750 (69.025)
Epoch: [29][2360/5005] Time 0.199 (0.224) Data 0.042 (0.074) Loss 2.6099 (2.5265) Prec@1 42.188 (43.365) Prec@5 67.188 (69.024)
Epoch: [29][2370/5005] Time 0.201 (0.224) Data 0.093 (0.074) Loss 2.6211 (2.5266) Prec@1 40.234 (43.360) Prec@5 67.578 (69.024)
Epoch: [29][2380/5005] Time 0.201 (0.224) Data 0.046 (0.074) Loss 2.5804 (2.5264) Prec@1 44.922 (43.365) Prec@5 65.234 (69.028)
Epoch: [29][2390/5005] Time 0.207 (0.224) Data 0.043 (0.074) Loss 2.5264 (2.5261) Prec@1 42.969 (43.370) Prec@5 69.922 (69.032)
Epoch: [29][2400/5005] Time 0.202 (0.224) Data 0.042 (0.074) Loss 2.5070 (2.5261) Prec@1 44.141 (43.369) Prec@5 64.844 (69.031)
Epoch: [29][2410/5005] Time 0.199 (0.224) Data 0.043 (0.074) Loss 2.7676 (2.5260) Prec@1 39.844 (43.369) Prec@5 63.672 (69.032)
Epoch: [29][2420/5005] Time 0.210 (0.224) Data 0.045 (0.074) Loss 2.5845 (2.5258) Prec@1 46.484 (43.374) Prec@5 69.922 (69.036)
Epoch: [29][2430/5005] Time 0.210 (0.224) Data 0.045 (0.074) Loss 2.3961 (2.5259) Prec@1 46.875 (43.370) Prec@5 69.922 (69.033)
Epoch: [29][2440/5005] Time 0.207 (0.224) Data 0.041 (0.074) Loss 2.2643 (2.5259) Prec@1 51.172 (43.374) Prec@5 72.266 (69.032)
Epoch: [29][2450/5005] Time 0.212 (0.224) Data 0.047 (0.074) Loss 2.3133 (2.5256) Prec@1 47.266 (43.379) Prec@5 74.219 (69.040)
Epoch: [29][2460/5005] Time 0.223 (0.224) Data 0.143 (0.074) Loss 2.4063 (2.5253) Prec@1 45.703 (43.384) Prec@5 71.484 (69.043)
Epoch: [29][2470/5005] Time 0.202 (0.224) Data 0.044 (0.074) Loss 2.5332 (2.5252) Prec@1 41.406 (43.388) Prec@5 68.359 (69.047)
Epoch: [29][2480/5005] Time 0.205 (0.224) Data 0.046 (0.075) Loss 2.6963 (2.5254) Prec@1 39.844 (43.383) Prec@5 65.234 (69.042)
Epoch: [29][2490/5005] Time 0.198 (0.224) Data 0.041 (0.074) Loss 2.1932 (2.5254) Prec@1 50.391 (43.384) Prec@5 76.953 (69.045)
Epoch: [29][2500/5005] Time 0.208 (0.224) Data 0.038 (0.074) Loss 2.5711 (2.5252) Prec@1 41.406 (43.391) Prec@5 65.625 (69.048)
Epoch: [29][2510/5005] Time 0.472 (0.224) Data 0.377 (0.074) Loss 2.5827 (2.5253) Prec@1 43.750 (43.390) Prec@5 68.750 (69.046)
Epoch: [29][2520/5005] Time 0.196 (0.224) Data 0.047 (0.075) Loss 2.3890 (2.5252) Prec@1 46.484 (43.391) Prec@5 71.094 (69.047)
Epoch: [29][2530/5005] Time 0.196 (0.224) Data 0.053 (0.074) Loss 2.6961 (2.5252) Prec@1 40.234 (43.389) Prec@5 64.062 (69.044)
Epoch: [29][2540/5005] Time 0.288 (0.224) Data 0.206 (0.074) Loss 2.4410 (2.5250) Prec@1 44.531 (43.393) Prec@5 70.703 (69.047)
Epoch: [29][2550/5005] Time 0.203 (0.224) Data 0.054 (0.074) Loss 2.4630 (2.5249) Prec@1 41.406 (43.392) Prec@5 69.531 (69.048)
Epoch: [29][2560/5005] Time 0.202 (0.224) Data 0.044 (0.075) Loss 2.6890 (2.5250) Prec@1 43.750 (43.394) Prec@5 66.406 (69.047)
Epoch: [29][2570/5005] Time 0.211 (0.224) Data 0.045 (0.075) Loss 2.5194 (2.5250) Prec@1 43.359 (43.390) Prec@5 72.656 (69.048)
Epoch: [29][2580/5005] Time 0.208 (0.224) Data 0.047 (0.074) Loss 2.6369 (2.5255) Prec@1 44.531 (43.386) Prec@5 66.797 (69.040)
Epoch: [29][2590/5005] Time 0.196 (0.224) Data 0.047 (0.075) Loss 2.6618 (2.5254) Prec@1 44.141 (43.389) Prec@5 66.016 (69.040)
Epoch: [29][2600/5005] Time 0.312 (0.224) Data 0.230 (0.075) Loss 2.6426 (2.5256) Prec@1 40.234 (43.387) Prec@5 70.703 (69.037)
Epoch: [29][2610/5005] Time 0.200 (0.224) Data 0.044 (0.074) Loss 2.6570 (2.5253) Prec@1 40.625 (43.394) Prec@5 68.359 (69.044)
Epoch: [29][2620/5005] Time 0.189 (0.224) Data 0.046 (0.074) Loss 2.3638 (2.5252) Prec@1 46.484 (43.398) Prec@5 67.969 (69.047)
Epoch: [29][2630/5005] Time 0.206 (0.224) Data 0.041 (0.074) Loss 2.6490 (2.5255) Prec@1 41.797 (43.395) Prec@5 69.141 (69.040)
Epoch: [29][2640/5005] Time 0.202 (0.224) Data 0.054 (0.074) Loss 2.5880 (2.5253) Prec@1 38.281 (43.397) Prec@5 66.406 (69.043)
Epoch: [29][2650/5005] Time 0.284 (0.224) Data 0.206 (0.075) Loss 2.7191 (2.5252) Prec@1 38.672 (43.396) Prec@5 64.844 (69.041)
Epoch: [29][2660/5005] Time 0.198 (0.224) Data 0.044 (0.075) Loss 2.4762 (2.5252) Prec@1 44.922 (43.401) Prec@5 68.359 (69.042)
Epoch: [29][2670/5005] Time 0.196 (0.224) Data 0.046 (0.075) Loss 2.1404 (2.5247) Prec@1 49.609 (43.412) Prec@5 76.562 (69.051)
Epoch: [29][2680/5005] Time 0.198 (0.224) Data 0.046 (0.075) Loss 2.4496 (2.5246) Prec@1 45.312 (43.410) Prec@5 68.359 (69.049)
Epoch: [29][2690/5005] Time 0.194 (0.224) Data 0.044 (0.075) Loss 2.3499 (2.5245) Prec@1 50.391 (43.413) Prec@5 71.484 (69.052)
Epoch: [29][2700/5005] Time 0.203 (0.224) Data 0.043 (0.075) Loss 2.3590 (2.5246) Prec@1 44.922 (43.410) Prec@5 72.266 (69.052)
Epoch: [29][2710/5005] Time 0.203 (0.224) Data 0.043 (0.075) Loss 2.3650 (2.5247) Prec@1 43.750 (43.406) Prec@5 70.312 (69.050)
Epoch: [29][2720/5005] Time 0.266 (0.224) Data 0.182 (0.075) Loss 2.3958 (2.5246) Prec@1 47.266 (43.407) Prec@5 72.266 (69.053)
Epoch: [29][2730/5005] Time 0.196 (0.224) Data 0.050 (0.075) Loss 2.5237 (2.5243) Prec@1 45.312 (43.411) Prec@5 68.359 (69.056)
Epoch: [29][2740/5005] Time 0.197 (0.224) Data 0.046 (0.075) Loss 2.3593 (2.5242) Prec@1 49.609 (43.416) Prec@5 72.656 (69.062)
Epoch: [29][2750/5005] Time 0.208 (0.224) Data 0.056 (0.075) Loss 2.6314 (2.5240) Prec@1 39.844 (43.419) Prec@5 66.016 (69.066)
Epoch: [29][2760/5005] Time 0.204 (0.224) Data 0.051 (0.075) Loss 2.5650 (2.5239) Prec@1 40.234 (43.419) Prec@5 71.875 (69.069)
Epoch: [29][2770/5005] Time 0.207 (0.224) Data 0.050 (0.075) Loss 2.3908 (2.5238) Prec@1 47.656 (43.418) Prec@5 73.047 (69.070)
Epoch: [29][2780/5005] Time 0.211 (0.224) Data 0.041 (0.075) Loss 2.6415 (2.5237) Prec@1 42.969 (43.423) Prec@5 67.188 (69.071)
Epoch: [29][2790/5005] Time 0.198 (0.224) Data 0.047 (0.075) Loss 2.8925 (2.5239) Prec@1 34.375 (43.419) Prec@5 61.719 (69.069)
Epoch: [29][2800/5005] Time 0.207 (0.224) Data 0.050 (0.075) Loss 2.3207 (2.5237) Prec@1 46.875 (43.425) Prec@5 75.781 (69.076)
Epoch: [29][2810/5005] Time 0.204 (0.224) Data 0.047 (0.075) Loss 2.7309 (2.5237) Prec@1 38.281 (43.422) Prec@5 66.797 (69.075)
Epoch: [29][2820/5005] Time 0.213 (0.224) Data 0.041 (0.075) Loss 2.1566 (2.5235) Prec@1 48.047 (43.422) Prec@5 74.609 (69.077)
Epoch: [29][2830/5005] Time 0.185 (0.224) Data 0.050 (0.075) Loss 2.7449 (2.5237) Prec@1 40.234 (43.419) Prec@5 64.062 (69.070)
Epoch: [29][2840/5005] Time 0.199 (0.224) Data 0.051 (0.075) Loss 2.5544 (2.5235) Prec@1 46.484 (43.420) Prec@5 67.578 (69.074)
Epoch: [29][2850/5005] Time 0.194 (0.224) Data 0.055 (0.075) Loss 2.4338 (2.5233) Prec@1 48.828 (43.427) Prec@5 67.969 (69.076)
Epoch: [29][2860/5005] Time 0.195 (0.224) Data 0.043 (0.075) Loss 2.5605 (2.5234) Prec@1 44.141 (43.428) Prec@5 66.016 (69.076)
Epoch: [29][2870/5005] Time 0.207 (0.224) Data 0.054 (0.075) Loss 2.4648 (2.5230) Prec@1 45.703 (43.437) Prec@5 71.094 (69.083)
Epoch: [29][2880/5005] Time 0.300 (0.224) Data 0.212 (0.075) Loss 2.4708 (2.5230) Prec@1 42.578 (43.436) Prec@5 73.828 (69.087)
Epoch: [29][2890/5005] Time 0.195 (0.224) Data 0.049 (0.075) Loss 2.4828 (2.5229) Prec@1 38.281 (43.437) Prec@5 72.266 (69.090)
Epoch: [29][2900/5005] Time 0.200 (0.224) Data 0.043 (0.075) Loss 2.2796 (2.5226) Prec@1 48.438 (43.444) Prec@5 72.656 (69.096)
Epoch: [29][2910/5005] Time 0.200 (0.224) Data 0.044 (0.075) Loss 2.3935 (2.5226) Prec@1 42.578 (43.443) Prec@5 72.266 (69.095)
Epoch: [29][2920/5005] Time 0.200 (0.224) Data 0.049 (0.075) Loss 2.5408 (2.5227) Prec@1 38.281 (43.440) Prec@5 67.578 (69.092)
Epoch: [29][2930/5005] Time 0.208 (0.224) Data 0.050 (0.075) Loss 2.7483 (2.5227) Prec@1 41.406 (43.443) Prec@5 66.016 (69.091)
Epoch: [29][2940/5005] Time 0.199 (0.224) Data 0.060 (0.075) Loss 2.5844 (2.5224) Prec@1 42.188 (43.443) Prec@5 68.750 (69.099)
Epoch: [29][2950/5005] Time 0.202 (0.224) Data 0.039 (0.075) Loss 2.7132 (2.5222) Prec@1 37.500 (43.444) Prec@5 69.531 (69.107)
Epoch: [29][2960/5005] Time 0.766 (0.224) Data 0.670 (0.075) Loss 2.4446 (2.5220) Prec@1 48.047 (43.447) Prec@5 69.141 (69.109)
Epoch: [29][2970/5005] Time 0.192 (0.224) Data 0.094 (0.075) Loss 2.5294 (2.5218) Prec@1 40.234 (43.446) Prec@5 68.359 (69.112)
Epoch: [29][2980/5005] Time 0.196 (0.224) Data 0.046 (0.075) Loss 2.5143 (2.5218) Prec@1 41.797 (43.447) Prec@5 69.922 (69.112)
Epoch: [29][2990/5005] Time 0.202 (0.224) Data 0.039 (0.075) Loss 2.5061 (2.5218) Prec@1 44.531 (43.445) Prec@5 69.141 (69.112)
Epoch: [29][3000/5005] Time 0.201 (0.224) Data 0.044 (0.075) Loss 2.4797 (2.5216) Prec@1 44.141 (43.448) Prec@5 69.531 (69.116)
Epoch: [29][3010/5005] Time 0.201 (0.224) Data 0.041 (0.075) Loss 2.5113 (2.5217) Prec@1 45.312 (43.450) Prec@5 69.141 (69.112)
Epoch: [29][3020/5005] Time 0.203 (0.224) Data 0.041 (0.075) Loss 2.3365 (2.5218) Prec@1 41.406 (43.449) Prec@5 71.875 (69.110)
Epoch: [29][3030/5005] Time 0.208 (0.224) Data 0.046 (0.075) Loss 2.5241 (2.5217) Prec@1 46.484 (43.446) Prec@5 71.875 (69.111)
Epoch: [29][3040/5005] Time 0.205 (0.224) Data 0.048 (0.075) Loss 2.4466 (2.5215) Prec@1 45.312 (43.453) Prec@5 68.359 (69.115)
Epoch: [29][3050/5005] Time 0.224 (0.224) Data 0.042 (0.075) Loss 2.6296 (2.5215) Prec@1 37.500 (43.450) Prec@5 67.969 (69.117)
Epoch: [29][3060/5005] Time 0.397 (0.224) Data 0.304 (0.075) Loss 2.3261 (2.5213) Prec@1 50.781 (43.449) Prec@5 71.875 (69.117)
Epoch: [29][3070/5005] Time 0.212 (0.224) Data 0.053 (0.075) Loss 2.4201 (2.5214) Prec@1 41.406 (43.447) Prec@5 72.656 (69.115)
Epoch: [29][3080/5005] Time 0.199 (0.224) Data 0.048 (0.075) Loss 2.4627 (2.5213) Prec@1 46.875 (43.446) Prec@5 68.359 (69.116)
Epoch: [29][3090/5005] Time 0.200 (0.224) Data 0.045 (0.075) Loss 2.8054 (2.5214) Prec@1 39.062 (43.444) Prec@5 64.062 (69.115)
Epoch: [29][3100/5005] Time 0.202 (0.224) Data 0.121 (0.075) Loss 2.6059 (2.5215) Prec@1 40.234 (43.441) Prec@5 67.969 (69.113)
Epoch: [29][3110/5005] Time 0.209 (0.224) Data 0.051 (0.075) Loss 2.3889 (2.5213) Prec@1 44.531 (43.443) Prec@5 72.656 (69.117)
Epoch: [29][3120/5005] Time 0.201 (0.224) Data 0.042 (0.075) Loss 2.5328 (2.5212) Prec@1 41.406 (43.442) Prec@5 66.406 (69.116)
Epoch: [29][3130/5005] Time 0.202 (0.224) Data 0.042 (0.075) Loss 2.6485 (2.5210) Prec@1 39.062 (43.446) Prec@5 67.188 (69.121)
Epoch: [29][3140/5005] Time 0.210 (0.224) Data 0.047 (0.075) Loss 2.2127 (2.5206) Prec@1 48.047 (43.453) Prec@5 74.219 (69.126)
Epoch: [29][3150/5005] Time 0.207 (0.224) Data 0.042 (0.075) Loss 2.4304 (2.5205) Prec@1 43.750 (43.455) Prec@5 73.047 (69.129)
Epoch: [29][3160/5005] Time 0.201 (0.224) Data 0.041 (0.075) Loss 2.3081 (2.5204) Prec@1 45.312 (43.458) Prec@5 74.219 (69.132)
Epoch: [29][3170/5005] Time 0.204 (0.224) Data 0.042 (0.075) Loss 2.4155 (2.5205) Prec@1 43.359 (43.457) Prec@5 68.359 (69.130)
Epoch: [29][3180/5005] Time 0.204 (0.224) Data 0.050 (0.075) Loss 2.3690 (2.5205) Prec@1 50.000 (43.459) Prec@5 69.531 (69.128)
Epoch: [29][3190/5005] Time 0.205 (0.224) Data 0.048 (0.075) Loss 2.5548 (2.5205) Prec@1 42.578 (43.457) Prec@5 69.922 (69.132)
Epoch: [29][3200/5005] Time 0.190 (0.224) Data 0.053 (0.075) Loss 2.4369 (2.5204) Prec@1 44.141 (43.457) Prec@5 69.531 (69.138)
Epoch: [29][3210/5005] Time 0.205 (0.224) Data 0.049 (0.075) Loss 2.6458 (2.5204) Prec@1 43.750 (43.461) Prec@5 66.406 (69.137)
Epoch: [29][3220/5005] Time 0.202 (0.224) Data 0.042 (0.075) Loss 2.5890 (2.5204) Prec@1 42.969 (43.468) Prec@5 69.531 (69.137)
Epoch: [29][3230/5005] Time 0.204 (0.224) Data 0.046 (0.075) Loss 2.4713 (2.5201) Prec@1 44.531 (43.468) Prec@5 67.969 (69.139)
Epoch: [29][3240/5005] Time 0.190 (0.224) Data 0.090 (0.075) Loss 2.8303 (2.5205) Prec@1 35.156 (43.460) Prec@5 65.625 (69.132)
Epoch: [29][3250/5005] Time 0.205 (0.224) Data 0.045 (0.075) Loss 2.4854 (2.5204) Prec@1 46.484 (43.460) Prec@5 68.750 (69.132)
Epoch: [29][3260/5005] Time 0.197 (0.224) Data 0.041 (0.075) Loss 2.5342 (2.5203) Prec@1 47.266 (43.462) Prec@5 69.922 (69.135)
Epoch: [29][3270/5005] Time 0.208 (0.224) Data 0.041 (0.075) Loss 2.5892 (2.5202) Prec@1 44.531 (43.466) Prec@5 67.188 (69.136)
Epoch: [29][3280/5005] Time 0.635 (0.224) Data 0.545 (0.076) Loss 2.5215 (2.5203) Prec@1 46.484 (43.466) Prec@5 71.484 (69.137)
Epoch: [29][3290/5005] Time 0.196 (0.224) Data 0.064 (0.076) Loss 2.4208 (2.5202) Prec@1 43.750 (43.468) Prec@5 68.750 (69.136)
Epoch: [29][3300/5005] Time 0.208 (0.224) Data 0.050 (0.076) Loss 2.4629 (2.5201) Prec@1 42.188 (43.471) Prec@5 69.922 (69.136)
Epoch: [29][3310/5005] Time 0.205 (0.224) Data 0.045 (0.076) Loss 2.3761 (2.5201) Prec@1 46.875 (43.472) Prec@5 72.656 (69.135)
Epoch: [29][3320/5005] Time 0.208 (0.224) Data 0.039 (0.076) Loss 2.5520 (2.5200) Prec@1 47.656 (43.476) Prec@5 68.750 (69.137)
Epoch: [29][3330/5005] Time 0.211 (0.224) Data 0.049 (0.076) Loss 2.5247 (2.5201) Prec@1 44.531 (43.472) Prec@5 64.844 (69.134)
Epoch: [29][3340/5005] Time 0.203 (0.224) Data 0.043 (0.076) Loss 2.6136 (2.5200) Prec@1 43.750 (43.473) Prec@5 66.797 (69.139)
Epoch: [29][3350/5005] Time 0.202 (0.224) Data 0.040 (0.076) Loss 2.5764 (2.5198) Prec@1 42.578 (43.474) Prec@5 67.969 (69.140)
Epoch: [29][3360/5005] Time 0.198 (0.224) Data 0.046 (0.076) Loss 2.3944 (2.5198) Prec@1 48.438 (43.478) Prec@5 70.312 (69.140)
Epoch: [29][3370/5005] Time 0.283 (0.224) Data 0.199 (0.076) Loss 2.4993 (2.5198) Prec@1 41.016 (43.478) Prec@5 68.750 (69.138)
Epoch: [29][3380/5005] Time 0.207 (0.224) Data 0.048 (0.076) Loss 2.5305 (2.5197) Prec@1 44.922 (43.482) Prec@5 69.922 (69.140)
Epoch: [29][3390/5005] Time 0.197 (0.224) Data 0.044 (0.076) Loss 2.4635 (2.5197) Prec@1 45.703 (43.480) Prec@5 71.094 (69.138)
Epoch: [29][3400/5005] Time 0.210 (0.224) Data 0.042 (0.075) Loss 2.4539 (2.5198) Prec@1 46.094 (43.480) Prec@5 71.094 (69.136)
Epoch: [29][3410/5005] Time 0.195 (0.224) Data 0.089 (0.075) Loss 2.4775 (2.5196) Prec@1 43.359 (43.482) Prec@5 69.922 (69.139)
Epoch: [29][3420/5005] Time 0.372 (0.224) Data 0.286 (0.076) Loss 2.5171 (2.5196) Prec@1 40.625 (43.479) Prec@5 68.359 (69.139)
Epoch: [29][3430/5005] Time 0.209 (0.224) Data 0.045 (0.076) Loss 2.4633 (2.5195) Prec@1 43.750 (43.481) Prec@5 72.266 (69.141)
Epoch: [29][3440/5005] Time 0.194 (0.224) Data 0.047 (0.076) Loss 2.4173 (2.5193) Prec@1 42.969 (43.482) Prec@5 69.531 (69.145)
Epoch: [29][3450/5005] Time 0.258 (0.224) Data 0.171 (0.076) Loss 2.3562 (2.5191) Prec@1 43.750 (43.486) Prec@5 72.266 (69.150)
Epoch: [29][3460/5005] Time 0.207 (0.224) Data 0.052 (0.076) Loss 2.5299 (2.5191) Prec@1 42.188 (43.485) Prec@5 68.750 (69.147)
Epoch: [29][3470/5005] Time 0.200 (0.224) Data 0.045 (0.076) Loss 2.2079 (2.5189) Prec@1 49.219 (43.489) Prec@5 73.047 (69.150)
Epoch: [29][3480/5005] Time 0.204 (0.224) Data 0.041 (0.076) Loss 2.4405 (2.5186) Prec@1 47.266 (43.492) Prec@5 71.094 (69.154)
Epoch: [29][3490/5005] Time 0.308 (0.224) Data 0.227 (0.076) Loss 2.5572 (2.5185) Prec@1 40.625 (43.493) Prec@5 69.922 (69.152)
Epoch: [29][3500/5005] Time 0.202 (0.224) Data 0.041 (0.076) Loss 2.4209 (2.5186) Prec@1 45.703 (43.490) Prec@5 72.266 (69.152)
Epoch: [29][3510/5005] Time 0.195 (0.224) Data 0.042 (0.076) Loss 2.4160 (2.5184) Prec@1 43.750 (43.491) Prec@5 67.969 (69.156)
Epoch: [29][3520/5005] Time 0.208 (0.224) Data 0.040 (0.076) Loss 2.7174 (2.5184) Prec@1 41.016 (43.492) Prec@5 66.406 (69.157)
Epoch: [29][3530/5005] Time 0.378 (0.224) Data 0.292 (0.076) Loss 2.4400 (2.5182) Prec@1 45.703 (43.495) Prec@5 71.875 (69.162)
Epoch: [29][3540/5005] Time 0.222 (0.224) Data 0.043 (0.076) Loss 2.3899 (2.5180) Prec@1 42.969 (43.497) Prec@5 71.094 (69.167)
Epoch: [29][3550/5005] Time 0.210 (0.224) Data 0.040 (0.076) Loss 2.5948 (2.5179) Prec@1 44.141 (43.500) Prec@5 65.625 (69.167)
Epoch: [29][3560/5005] Time 0.200 (0.224) Data 0.041 (0.076) Loss 2.4878 (2.5177) Prec@1 43.359 (43.501) Prec@5 70.312 (69.172)
Epoch: [29][3570/5005] Time 0.328 (0.224) Data 0.239 (0.076) Loss 2.5758 (2.5177) Prec@1 44.531 (43.501) Prec@5 68.750 (69.173)
Epoch: [29][3580/5005] Time 0.191 (0.224) Data 0.046 (0.076) Loss 2.4406 (2.5176) Prec@1 44.141 (43.502) Prec@5 69.922 (69.174)
Epoch: [29][3590/5005] Time 0.219 (0.224) Data 0.044 (0.076) Loss 2.6184 (2.5173) Prec@1 42.188 (43.510) Prec@5 67.188 (69.179)
Epoch: [29][3600/5005] Time 0.209 (0.224) Data 0.062 (0.076) Loss 2.4441 (2.5170) Prec@1 46.484 (43.514) Prec@5 71.094 (69.182)
Epoch: [29][3610/5005] Time 0.393 (0.224) Data 0.307 (0.076) Loss 2.3912 (2.5170) Prec@1 45.312 (43.512) Prec@5 70.312 (69.185)
Epoch: [29][3620/5005] Time 0.319 (0.224) Data 0.229 (0.076) Loss 2.5741 (2.5168) Prec@1 41.406 (43.517) Prec@5 67.578 (69.190)
Epoch: [29][3630/5005] Time 0.194 (0.224) Data 0.045 (0.076) Loss 2.7849 (2.5167) Prec@1 39.453 (43.517) Prec@5 66.016 (69.192)
Epoch: [29][3640/5005] Time 0.208 (0.224) Data 0.046 (0.076) Loss 2.5273 (2.5167) Prec@1 40.625 (43.516) Prec@5 69.922 (69.191)
Epoch: [29][3650/5005] Time 0.294 (0.224) Data 0.204 (0.076) Loss 2.3748 (2.5167) Prec@1 44.141 (43.513) Prec@5 72.266 (69.193)
Epoch: [29][3660/5005] Time 0.213 (0.224) Data 0.045 (0.076) Loss 2.6273 (2.5165) Prec@1 39.062 (43.517) Prec@5 68.359 (69.196)
Epoch: [29][3670/5005] Time 0.206 (0.224) Data 0.046 (0.076) Loss 2.7179 (2.5165) Prec@1 39.062 (43.515) Prec@5 63.672 (69.194)
Epoch: [29][3680/5005] Time 0.193 (0.224) Data 0.052 (0.076) Loss 2.3326 (2.5165) Prec@1 43.359 (43.517) Prec@5 72.266 (69.195)
Epoch: [29][3690/5005] Time 0.396 (0.224) Data 0.302 (0.076) Loss 2.2745 (2.5165) Prec@1 45.703 (43.516) Prec@5 75.781 (69.196)
Epoch: [29][3700/5005] Time 0.195 (0.224) Data 0.044 (0.076) Loss 2.4925 (2.5164) Prec@1 42.578 (43.514) Prec@5 73.828 (69.199)
Epoch: [29][3710/5005] Time 0.356 (0.224) Data 0.278 (0.076) Loss 2.4467 (2.5163) Prec@1 46.094 (43.516) Prec@5 71.094 (69.202)
Epoch: [29][3720/5005] Time 0.199 (0.224) Data 0.040 (0.076) Loss 2.7215 (2.5163) Prec@1 41.797 (43.515) Prec@5 70.312 (69.203)
Epoch: [29][3730/5005] Time 0.202 (0.224) Data 0.040 (0.076) Loss 2.2953 (2.5161) Prec@1 45.703 (43.518) Prec@5 71.484 (69.205)
Epoch: [29][3740/5005] Time 0.202 (0.224) Data 0.054 (0.076) Loss 2.3266 (2.5159) Prec@1 49.609 (43.520) Prec@5 74.609 (69.209)
Epoch: [29][3750/5005] Time 0.198 (0.224) Data 0.046 (0.076) Loss 2.4274 (2.5160) Prec@1 42.969 (43.516) Prec@5 70.703 (69.208)
Epoch: [29][3760/5005] Time 0.202 (0.224) Data 0.047 (0.076) Loss 2.4462 (2.5159) Prec@1 43.359 (43.515) Prec@5 68.750 (69.207)
Epoch: [29][3770/5005] Time 0.590 (0.224) Data 0.512 (0.076) Loss 2.5756 (2.5158) Prec@1 42.969 (43.517) Prec@5 69.531 (69.209)
Epoch: [29][3780/5005] Time 0.200 (0.225) Data 0.046 (0.077) Loss 2.3986 (2.5157) Prec@1 45.312 (43.519) Prec@5 73.047 (69.213)
Epoch: [29][3790/5005] Time 0.207 (0.225) Data 0.041 (0.077) Loss 2.6340 (2.5156) Prec@1 44.141 (43.520) Prec@5 66.016 (69.214)
Epoch: [29][3800/5005] Time 0.196 (0.224) Data 0.050 (0.077) Loss 2.3971 (2.5158) Prec@1 46.875 (43.521) Prec@5 71.484 (69.211)
Epoch: [29][3810/5005] Time 0.202 (0.224) Data 0.042 (0.076) Loss 2.3926 (2.5158) Prec@1 46.875 (43.519) Prec@5 71.094 (69.211)
Epoch: [29][3820/5005] Time 0.273 (0.224) Data 0.189 (0.076) Loss 2.2373 (2.5156) Prec@1 46.875 (43.522) Prec@5 75.391 (69.215)
Epoch: [29][3830/5005] Time 0.200 (0.224) Data 0.048 (0.077) Loss 2.3003 (2.5153) Prec@1 45.703 (43.526) Prec@5 71.484 (69.220)
Epoch: [29][3840/5005] Time 0.205 (0.224) Data 0.040 (0.077) Loss 2.7466 (2.5153) Prec@1 37.500 (43.526) Prec@5 65.625 (69.218)
Epoch: [29][3850/5005] Time 0.201 (0.224) Data 0.043 (0.076) Loss 2.5436 (2.5151) Prec@1 43.359 (43.527) Prec@5 70.703 (69.221)
Epoch: [29][3860/5005] Time 0.207 (0.224) Data 0.083 (0.077) Loss 2.3023 (2.5150) Prec@1 51.562 (43.534) Prec@5 73.047 (69.223)
Epoch: [29][3870/5005] Time 0.203 (0.224) Data 0.044 (0.077) Loss 2.4177 (2.5150) Prec@1 40.234 (43.532) Prec@5 70.312 (69.222)
Epoch: [29][3880/5005] Time 0.209 (0.224) Data 0.045 (0.077) Loss 2.3510 (2.5150) Prec@1 48.438 (43.535) Prec@5 75.000 (69.225)
Epoch: [29][3890/5005] Time 0.231 (0.224) Data 0.145 (0.077) Loss 2.7209 (2.5149) Prec@1 41.797 (43.539) Prec@5 66.016 (69.225)
Epoch: [29][3900/5005] Time 0.207 (0.224) Data 0.045 (0.077) Loss 2.7145 (2.5150) Prec@1 43.750 (43.535) Prec@5 67.188 (69.223)
Epoch: [29][3910/5005] Time 0.198 (0.224) Data 0.055 (0.077) Loss 2.5027 (2.5149) Prec@1 44.922 (43.539) Prec@5 68.359 (69.225)
Epoch: [29][3920/5005] Time 0.201 (0.224) Data 0.045 (0.077) Loss 2.5019 (2.5148) Prec@1 47.266 (43.542) Prec@5 69.922 (69.226)
Epoch: [29][3930/5005] Time 0.209 (0.224) Data 0.041 (0.077) Loss 2.3425 (2.5146) Prec@1 44.531 (43.544) Prec@5 70.703 (69.231)
Epoch: [29][3940/5005] Time 0.195 (0.224) Data 0.068 (0.077) Loss 2.4781 (2.5145) Prec@1 44.141 (43.546) Prec@5 70.312 (69.233)
Epoch: [29][3950/5005] Time 0.202 (0.224) Data 0.047 (0.077) Loss 2.4150 (2.5142) Prec@1 45.312 (43.551) Prec@5 71.484 (69.237)
Epoch: [29][3960/5005] Time 0.209 (0.224) Data 0.049 (0.077) Loss 2.4857 (2.5142) Prec@1 44.922 (43.550) Prec@5 70.312 (69.237)
Epoch: [29][3970/5005] Time 0.297 (0.224) Data 0.213 (0.077) Loss 2.4963 (2.5141) Prec@1 43.750 (43.549) Prec@5 68.359 (69.236)
Epoch: [29][3980/5005] Time 0.194 (0.224) Data 0.050 (0.077) Loss 2.3072 (2.5140) Prec@1 47.656 (43.551) Prec@5 72.656 (69.238)
Epoch: [29][3990/5005] Time 0.200 (0.224) Data 0.038 (0.077) Loss 2.5871 (2.5140) Prec@1 45.703 (43.551) Prec@5 67.969 (69.237)
Epoch: [29][4000/5005] Time 0.196 (0.224) Data 0.116 (0.077) Loss 2.4213 (2.5140) Prec@1 43.359 (43.551) Prec@5 68.359 (69.236)
Epoch: [29][4010/5005] Time 0.203 (0.224) Data 0.048 (0.077) Loss 2.4335 (2.5137) Prec@1 47.656 (43.558) Prec@5 70.312 (69.243)
Epoch: [29][4020/5005] Time 0.214 (0.224) Data 0.042 (0.077) Loss 2.7084 (2.5136) Prec@1 42.188 (43.560) Prec@5 65.234 (69.242)
Epoch: [29][4030/5005] Time 0.493 (0.224) Data 0.410 (0.077) Loss 2.6543 (2.5138) Prec@1 43.359 (43.559) Prec@5 69.141 (69.240)
Epoch: [29][4040/5005] Time 0.203 (0.224) Data 0.045 (0.077) Loss 2.5410 (2.5137) Prec@1 41.406 (43.559) Prec@5 65.625 (69.238)
Epoch: [29][4050/5005] Time 0.196 (0.224) Data 0.063 (0.077) Loss 2.7188 (2.5136) Prec@1 37.891 (43.562) Prec@5 63.672 (69.243)
Epoch: [29][4060/5005] Time 0.256 (0.224) Data 0.164 (0.077) Loss 2.5003 (2.5134) Prec@1 42.188 (43.562) Prec@5 67.578 (69.244)
Epoch: [29][4070/5005] Time 0.291 (0.224) Data 0.207 (0.077) Loss 2.7272 (2.5134) Prec@1 38.672 (43.561) Prec@5 64.844 (69.245)
Epoch: [29][4080/5005] Time 0.202 (0.224) Data 0.048 (0.077) Loss 2.4535 (2.5134) Prec@1 46.094 (43.562) Prec@5 69.922 (69.243)
Epoch: [29][4090/5005] Time 0.207 (0.224) Data 0.047 (0.077) Loss 2.6476 (2.5133) Prec@1 41.016 (43.565) Prec@5 68.359 (69.245)
Epoch: [29][4100/5005] Time 0.210 (0.224) Data 0.054 (0.077) Loss 2.4532 (2.5131) Prec@1 40.625 (43.566) Prec@5 66.406 (69.246)
Epoch: [29][4110/5005] Time 0.203 (0.224) Data 0.038 (0.077) Loss 2.7226 (2.5130) Prec@1 38.672 (43.565) Prec@5 67.188 (69.247)
Epoch: [29][4120/5005] Time 0.214 (0.224) Data 0.127 (0.077) Loss 2.6726 (2.5129) Prec@1 37.891 (43.566) Prec@5 67.969 (69.249)
Epoch: [29][4130/5005] Time 0.321 (0.224) Data 0.243 (0.077) Loss 2.6316 (2.5130) Prec@1 39.453 (43.564) Prec@5 65.234 (69.249)
Epoch: [29][4140/5005] Time 0.204 (0.224) Data 0.042 (0.077) Loss 2.5535 (2.5128) Prec@1 45.703 (43.568) Prec@5 69.531 (69.250)
Epoch: [29][4150/5005] Time 0.206 (0.224) Data 0.043 (0.077) Loss 2.7882 (2.5129) Prec@1 36.719 (43.566) Prec@5 65.625 (69.250)
Epoch: [29][4160/5005] Time 0.196 (0.224) Data 0.047 (0.077) Loss 2.3321 (2.5129) Prec@1 49.609 (43.566) Prec@5 74.219 (69.250)
Epoch: [29][4170/5005] Time 0.196 (0.224) Data 0.049 (0.077) Loss 2.4114 (2.5127) Prec@1 43.359 (43.570) Prec@5 71.875 (69.256)
Epoch: [29][4180/5005] Time 0.197 (0.224) Data 0.044 (0.077) Loss 2.3306 (2.5125) Prec@1 44.531 (43.572) Prec@5 75.391 (69.259)
Epoch: [29][4190/5005] Time 0.197 (0.224) Data 0.053 (0.077) Loss 2.3963 (2.5126) Prec@1 47.266 (43.571) Prec@5 68.750 (69.256)
Epoch: [29][4200/5005] Time 0.425 (0.224) Data 0.338 (0.077) Loss 2.2727 (2.5124) Prec@1 44.922 (43.577) Prec@5 74.609 (69.260)
Epoch: [29][4210/5005] Time 0.415 (0.224) Data 0.329 (0.077) Loss 2.3818 (2.5123) Prec@1 44.531 (43.581) Prec@5 69.141 (69.262)
Epoch: [29][4220/5005] Time 0.198 (0.224) Data 0.045 (0.077) Loss 2.6019 (2.5123) Prec@1 41.016 (43.579) Prec@5 68.750 (69.264)
Epoch: [29][4230/5005] Time 0.195 (0.225) Data 0.046 (0.077) Loss 2.6577 (2.5122) Prec@1 44.141 (43.580) Prec@5 66.406 (69.265)
Epoch: [29][4240/5005] Time 0.206 (0.224) Data 0.061 (0.077) Loss 2.4637 (2.5122) Prec@1 42.969 (43.579) Prec@5 68.750 (69.265)
Epoch: [29][4250/5005] Time 0.194 (0.224) Data 0.048 (0.077) Loss 2.5280 (2.5121) Prec@1 43.359 (43.580) Prec@5 67.188 (69.265)
Epoch: [29][4260/5005] Time 0.204 (0.224) Data 0.040 (0.077) Loss 2.4457 (2.5120) Prec@1 38.672 (43.579) Prec@5 71.094 (69.267)
Epoch: [29][4270/5005] Time 0.215 (0.224) Data 0.121 (0.077) Loss 2.6817 (2.5121) Prec@1 41.797 (43.577) Prec@5 66.016 (69.265)
Epoch: [29][4280/5005] Time 0.202 (0.224) Data 0.047 (0.077) Loss 2.5300 (2.5120) Prec@1 43.359 (43.581) Prec@5 70.703 (69.266)
Epoch: [29][4290/5005] Time 0.207 (0.224) Data 0.052 (0.077) Loss 2.6992 (2.5121) Prec@1 42.188 (43.581) Prec@5 65.625 (69.264)
Epoch: [29][4300/5005] Time 0.198 (0.224) Data 0.050 (0.077) Loss 2.3043 (2.5119) Prec@1 45.703 (43.584) Prec@5 71.875 (69.269)
Epoch: [29][4310/5005] Time 0.202 (0.224) Data 0.042 (0.077) Loss 2.4143 (2.5118) Prec@1 47.656 (43.586) Prec@5 69.141 (69.270)
Epoch: [29][4320/5005] Time 0.202 (0.224) Data 0.043 (0.077) Loss 2.3471 (2.5117) Prec@1 44.922 (43.589) Prec@5 71.484 (69.271)
Epoch: [29][4330/5005] Time 0.208 (0.225) Data 0.044 (0.077) Loss 2.3713 (2.5116) Prec@1 43.359 (43.592) Prec@5 75.000 (69.273)
Epoch: [29][4340/5005] Time 0.200 (0.225) Data 0.039 (0.077) Loss 2.4697 (2.5117) Prec@1 46.094 (43.588) Prec@5 68.750 (69.273)
Epoch: [29][4350/5005] Time 0.198 (0.225) Data 0.043 (0.077) Loss 2.5942 (2.5115) Prec@1 46.484 (43.595) Prec@5 69.531 (69.276)
Epoch: [29][4360/5005] Time 0.209 (0.225) Data 0.049 (0.077) Loss 2.2784 (2.5113) Prec@1 46.094 (43.597) Prec@5 71.094 (69.281)
Epoch: [29][4370/5005] Time 0.301 (0.225) Data 0.222 (0.077) Loss 2.5704 (2.5113) Prec@1 39.062 (43.598) Prec@5 67.578 (69.280)
Epoch: [29][4380/5005] Time 0.209 (0.225) Data 0.045 (0.077) Loss 2.6044 (2.5113) Prec@1 39.062 (43.599) Prec@5 67.578 (69.279)
Epoch: [29][4390/5005] Time 0.192 (0.225) Data 0.058 (0.077) Loss 2.5085 (2.5110) Prec@1 43.750 (43.606) Prec@5 65.625 (69.283)
Epoch: [29][4400/5005] Time 0.213 (0.224) Data 0.041 (0.077) Loss 2.3762 (2.5110) Prec@1 48.828 (43.605) Prec@5 70.703 (69.283)
Epoch: [29][4410/5005] Time 0.203 (0.224) Data 0.098 (0.077) Loss 2.5503 (2.5109) Prec@1 42.578 (43.607) Prec@5 68.359 (69.284)
Epoch: [29][4420/5005] Time 0.199 (0.225) Data 0.049 (0.077) Loss 2.2439 (2.5108) Prec@1 48.438 (43.607) Prec@5 73.438 (69.286)
Epoch: [29][4430/5005] Time 0.195 (0.225) Data 0.047 (0.077) Loss 2.4037 (2.5106) Prec@1 42.969 (43.613) Prec@5 69.141 (69.291)
Epoch: [29][4440/5005] Time 0.311 (0.225) Data 0.230 (0.077) Loss 2.4942 (2.5105) Prec@1 42.969 (43.617) Prec@5 69.141 (69.293)
Epoch: [29][4450/5005] Time 0.206 (0.224) Data 0.056 (0.077) Loss 2.2695 (2.5104) Prec@1 47.266 (43.619) Prec@5 74.609 (69.294)
Epoch: [29][4460/5005] Time 0.269 (0.224) Data 0.180 (0.077) Loss 2.4618 (2.5101) Prec@1 42.578 (43.624) Prec@5 69.141 (69.298)
Epoch: [29][4470/5005] Time 0.197 (0.224) Data 0.051 (0.077) Loss 2.3626 (2.5101) Prec@1 46.875 (43.625) Prec@5 69.922 (69.299)
Epoch: [29][4480/5005] Time 0.196 (0.225) Data 0.043 (0.078) Loss 2.3596 (2.5103) Prec@1 46.094 (43.623) Prec@5 68.750 (69.294)
Epoch: [29][4490/5005] Time 0.194 (0.224) Data 0.049 (0.077) Loss 2.4459 (2.5103) Prec@1 44.141 (43.623) Prec@5 69.531 (69.295)
Epoch: [29][4500/5005] Time 0.196 (0.225) Data 0.050 (0.078) Loss 2.4268 (2.5102) Prec@1 45.312 (43.624) Prec@5 70.312 (69.296)
Epoch: [29][4510/5005] Time 0.203 (0.225) Data 0.039 (0.078) Loss 2.2660 (2.5101) Prec@1 47.656 (43.623) Prec@5 73.438 (69.297)
Epoch: [29][4520/5005] Time 0.277 (0.225) Data 0.193 (0.078) Loss 2.3743 (2.5099) Prec@1 47.266 (43.627) Prec@5 71.484 (69.301)
Epoch: [29][4530/5005] Time 0.203 (0.225) Data 0.039 (0.078) Loss 2.2563 (2.5097) Prec@1 46.875 (43.633) Prec@5 74.219 (69.303)
Epoch: [29][4540/5005] Time 0.202 (0.225) Data 0.052 (0.078) Loss 2.6630 (2.5097) Prec@1 39.844 (43.632) Prec@5 69.141 (69.304)
Epoch: [29][4550/5005] Time 0.198 (0.225) Data 0.056 (0.078) Loss 2.5731 (2.5096) Prec@1 48.047 (43.636) Prec@5 68.750 (69.306)
Epoch: [29][4560/5005] Time 0.437 (0.225) Data 0.356 (0.078) Loss 2.5301 (2.5095) Prec@1 40.625 (43.639) Prec@5 69.531 (69.308)
Epoch: [29][4570/5005] Time 0.204 (0.225) Data 0.041 (0.078) Loss 2.4999 (2.5093) Prec@1 43.750 (43.643) Prec@5 68.750 (69.312)
Epoch: [29][4580/5005] Time 0.195 (0.225) Data 0.047 (0.078) Loss 2.4827 (2.5092) Prec@1 42.578 (43.646) Prec@5 69.531 (69.314)
Epoch: [29][4590/5005] Time 0.372 (0.225) Data 0.279 (0.078) Loss 2.2820 (2.5091) Prec@1 46.875 (43.648) Prec@5 73.047 (69.316)
Epoch: [29][4600/5005] Time 0.200 (0.225) Data 0.053 (0.078) Loss 2.1978 (2.5090) Prec@1 49.609 (43.648) Prec@5 75.391 (69.314)
Epoch: [29][4610/5005] Time 0.203 (0.224) Data 0.038 (0.078) Loss 2.3173 (2.5089) Prec@1 44.922 (43.653) Prec@5 72.656 (69.315)
Epoch: [29][4620/5005] Time 0.206 (0.225) Data 0.042 (0.078) Loss 2.4299 (2.5088) Prec@1 45.312 (43.656) Prec@5 69.531 (69.314)
Epoch: [29][4630/5005] Time 0.193 (0.225) Data 0.066 (0.078) Loss 2.3534 (2.5086) Prec@1 49.609 (43.657) Prec@5 71.484 (69.317)
Epoch: [29][4640/5005] Time 0.203 (0.225) Data 0.048 (0.078) Loss 2.5040 (2.5085) Prec@1 44.141 (43.658) Prec@5 69.531 (69.319)
Epoch: [29][4650/5005] Time 0.202 (0.225) Data 0.042 (0.078) Loss 2.4825 (2.5085) Prec@1 44.141 (43.659) Prec@5 69.922 (69.322)
Epoch: [29][4660/5005] Time 0.202 (0.225) Data 0.051 (0.078) Loss 2.6960 (2.5085) Prec@1 42.969 (43.662) Prec@5 63.281 (69.321)
Epoch: [29][4670/5005] Time 0.206 (0.225) Data 0.050 (0.078) Loss 2.4679 (2.5083) Prec@1 45.703 (43.664) Prec@5 68.750 (69.321)
Epoch: [29][4680/5005] Time 0.196 (0.225) Data 0.048 (0.078) Loss 2.3606 (2.5083) Prec@1 42.578 (43.663) Prec@5 72.266 (69.321)
Epoch: [29][4690/5005] Time 0.205 (0.225) Data 0.040 (0.078) Loss 2.3263 (2.5082) Prec@1 47.656 (43.665) Prec@5 72.266 (69.324)
Epoch: [29][4700/5005] Time 0.205 (0.225) Data 0.064 (0.078) Loss 2.3637 (2.5082) Prec@1 48.438 (43.668) Prec@5 71.484 (69.325)
Epoch: [29][4710/5005] Time 0.210 (0.225) Data 0.044 (0.078) Loss 2.4164 (2.5079) Prec@1 46.484 (43.673) Prec@5 68.359 (69.330)
Epoch: [29][4720/5005] Time 0.215 (0.225) Data 0.045 (0.078) Loss 2.2806 (2.5078) Prec@1 46.875 (43.673) Prec@5 73.438 (69.333)
Epoch: [29][4730/5005] Time 0.203 (0.225) Data 0.096 (0.078) Loss 2.4093 (2.5078) Prec@1 42.188 (43.672) Prec@5 71.484 (69.334)
Epoch: [29][4740/5005] Time 0.199 (0.225) Data 0.052 (0.078) Loss 2.3955 (2.5076) Prec@1 42.578 (43.675) Prec@5 71.484 (69.338)
Epoch: [29][4750/5005] Time 0.607 (0.225) Data 0.503 (0.078) Loss 2.4108 (2.5075) Prec@1 45.703 (43.677) Prec@5 68.359 (69.341)
Epoch: [29][4760/5005] Time 0.199 (0.225) Data 0.048 (0.078) Loss 2.7268 (2.5073) Prec@1 37.891 (43.681) Prec@5 66.016 (69.342)
Epoch: [29][4770/5005] Time 0.203 (0.225) Data 0.046 (0.078) Loss 2.4001 (2.5073) Prec@1 50.000 (43.683) Prec@5 69.922 (69.343)
Epoch: [29][4780/5005] Time 0.204 (0.225) Data 0.054 (0.078) Loss 2.4704 (2.5072) Prec@1 47.266 (43.686) Prec@5 72.656 (69.344)
Epoch: [29][4790/5005] Time 0.199 (0.225) Data 0.046 (0.078) Loss 2.6943 (2.5072) Prec@1 39.844 (43.685) Prec@5 63.672 (69.345)
Epoch: [29][4800/5005] Time 0.202 (0.225) Data 0.045 (0.078) Loss 2.6077 (2.5071) Prec@1 39.844 (43.685) Prec@5 69.141 (69.348)
Epoch: [29][4810/5005] Time 0.205 (0.225) Data 0.048 (0.078) Loss 2.5460 (2.5069) Prec@1 43.750 (43.688) Prec@5 67.578 (69.349)
Epoch: [29][4820/5005] Time 0.201 (0.225) Data 0.045 (0.078) Loss 2.5371 (2.5067) Prec@1 46.484 (43.691) Prec@5 65.234 (69.352)
Epoch: [29][4830/5005] Time 0.202 (0.225) Data 0.045 (0.078) Loss 2.5213 (2.5065) Prec@1 43.750 (43.695) Prec@5 69.141 (69.356)
Epoch: [29][4840/5005] Time 0.417 (0.225) Data 0.332 (0.078) Loss 2.2725 (2.5065) Prec@1 48.828 (43.694) Prec@5 71.484 (69.355)
Epoch: [29][4850/5005] Time 0.279 (0.225) Data 0.197 (0.078) Loss 2.5196 (2.5066) Prec@1 42.578 (43.692) Prec@5 69.141 (69.355)
Epoch: [29][4860/5005] Time 0.202 (0.225) Data 0.044 (0.078) Loss 2.4578 (2.5064) Prec@1 42.188 (43.692) Prec@5 68.359 (69.358)
Epoch: [29][4870/5005] Time 0.204 (0.225) Data 0.051 (0.078) Loss 2.3422 (2.5063) Prec@1 46.094 (43.695) Prec@5 71.484 (69.360)
Epoch: [29][4880/5005] Time 0.201 (0.225) Data 0.045 (0.078) Loss 2.3896 (2.5062) Prec@1 44.531 (43.699) Prec@5 72.266 (69.364)
Epoch: [29][4890/5005] Time 0.529 (0.225) Data 0.455 (0.078) Loss 2.4153 (2.5059) Prec@1 44.531 (43.702) Prec@5 70.703 (69.367)
Epoch: [29][4900/5005] Time 0.205 (0.225) Data 0.046 (0.078) Loss 2.4315 (2.5058) Prec@1 43.750 (43.704) Prec@5 69.922 (69.368)
Epoch: [29][4910/5005] Time 0.200 (0.225) Data 0.046 (0.078) Loss 2.5141 (2.5056) Prec@1 42.578 (43.706) Prec@5 68.750 (69.372)
Epoch: [29][4920/5005] Time 0.252 (0.225) Data 0.169 (0.078) Loss 2.4036 (2.5055) Prec@1 43.359 (43.708) Prec@5 71.094 (69.374)
Epoch: [29][4930/5005] Time 0.208 (0.225) Data 0.046 (0.078) Loss 2.6083 (2.5053) Prec@1 42.969 (43.709) Prec@5 67.188 (69.378)
Epoch: [29][4940/5005] Time 0.200 (0.225) Data 0.040 (0.078) Loss 2.4052 (2.5053) Prec@1 47.656 (43.712) Prec@5 71.875 (69.380)
Epoch: [29][4950/5005] Time 0.199 (0.225) Data 0.043 (0.078) Loss 2.2001 (2.5052) Prec@1 45.312 (43.712) Prec@5 75.000 (69.381)
Epoch: [29][4960/5005] Time 0.201 (0.225) Data 0.038 (0.078) Loss 2.5314 (2.5051) Prec@1 45.703 (43.716) Prec@5 67.969 (69.383)
Epoch: [29][4970/5005] Time 0.198 (0.225) Data 0.050 (0.078) Loss 2.5809 (2.5050) Prec@1 41.016 (43.718) Prec@5 68.750 (69.386)
Epoch: [29][4980/5005] Time 0.200 (0.225) Data 0.038 (0.078) Loss 2.5545 (2.5048) Prec@1 41.406 (43.720) Prec@5 68.750 (69.390)
Epoch: [29][4990/5005] Time 0.201 (0.225) Data 0.030 (0.078) Loss 2.5339 (2.5046) Prec@1 39.062 (43.724) Prec@5 67.578 (69.393)
Epoch: [29][5000/5005] Time 0.201 (0.225) Data 0.124 (0.078) Loss 2.5552 (2.5046) Prec@1 42.188 (43.723) Prec@5 68.750 (69.394)
Test: [0/196] Time 2.360 (2.360) Loss 2.4733 (2.4733) Prec@1 46.484 (46.484) Prec@5 69.531 (69.531)
Test: [10/196] Time 0.043 (0.430) Loss 2.5565 (2.6333) Prec@1 44.141 (42.259) Prec@5 66.406 (67.827)
Test: [20/196] Time 0.103 (0.304) Loss 2.5571 (2.6467) Prec@1 46.875 (42.206) Prec@5 70.312 (67.615)
Test: [30/196] Time 0.166 (0.273) Loss 2.5623 (2.6567) Prec@1 41.797 (41.898) Prec@5 68.359 (67.225)
Test: [40/196] Time 0.298 (0.259) Loss 2.4646 (2.6569) Prec@1 47.656 (41.987) Prec@5 70.312 (67.369)
Test: [50/196] Time 0.403 (0.257) Loss 2.7339 (2.6605) Prec@1 44.531 (42.027) Prec@5 69.922 (67.448)
Test: [60/196] Time 0.448 (0.252) Loss 2.5725 (2.6454) Prec@1 44.922 (42.322) Prec@5 68.359 (67.655)
Test: [70/196] Time 0.174 (0.249) Loss 2.6715 (2.6400) Prec@1 42.969 (42.298) Prec@5 66.406 (67.771)
Test: [80/196] Time 0.046 (0.242) Loss 2.5911 (2.6467) Prec@1 46.094 (42.284) Prec@5 67.969 (67.593)
Test: [90/196] Time 0.042 (0.241) Loss 2.7135 (2.6485) Prec@1 44.141 (42.372) Prec@5 66.016 (67.527)
Test: [100/196] Time 0.044 (0.240) Loss 2.6517 (2.6457) Prec@1 44.141 (42.481) Prec@5 67.578 (67.582)
Test: [110/196] Time 0.451 (0.242) Loss 2.8507 (2.6476) Prec@1 40.625 (42.564) Prec@5 63.281 (67.596)
Test: [120/196] Time 0.242 (0.237) Loss 2.4549 (2.6441) Prec@1 42.969 (42.572) Prec@5 72.266 (67.675)
Test: [130/196] Time 0.050 (0.240) Loss 2.3385 (2.6418) Prec@1 46.094 (42.566) Prec@5 71.875 (67.682)
Test: [140/196] Time 0.480 (0.237) Loss 2.4576 (2.6428) Prec@1 43.359 (42.481) Prec@5 68.359 (67.645)
Test: [150/196] Time 0.043 (0.235) Loss 2.3002 (2.6397) Prec@1 44.922 (42.537) Prec@5 76.953 (67.775)
Test: [160/196] Time 0.213 (0.233) Loss 2.6042 (2.6378) Prec@1 46.094 (42.568) Prec@5 68.750 (67.809)
Test: [170/196] Time 0.180 (0.232) Loss 2.5211 (2.6392) Prec@1 43.359 (42.574) Prec@5 69.922 (67.763)
Test: [180/196] Time 0.043 (0.233) Loss 2.8672 (2.6451) Prec@1 33.984 (42.431) Prec@5 62.109 (67.636)
Test: [190/196] Time 0.167 (0.232) Loss 2.9212 (2.6485) Prec@1 40.234 (42.429) Prec@5 61.328 (67.527)
* Prec@1 42.426 Prec@5 67.536
Learning rate: 0.0001
Epoch: [30][0/5005] Time 2.432 (2.432) Data 2.324 (2.324) Loss 2.3702 (2.3702) Prec@1 44.531 (44.531) Prec@5 71.875 (71.875)
Epoch: [30][10/5005] Time 0.202 (0.404) Data 0.044 (0.257) Loss 2.5434 (2.5317) Prec@1 47.656 (43.146) Prec@5 71.875 (69.886)
Epoch: [30][20/5005] Time 0.199 (0.307) Data 0.042 (0.156) Loss 2.6105 (2.5428) Prec@1 41.797 (42.653) Prec@5 69.922 (69.661)
Epoch: [30][30/5005] Time 0.198 (0.273) Data 0.047 (0.119) Loss 2.4574 (2.5043) Prec@1 45.312 (43.208) Prec@5 68.750 (69.897)
Epoch: [30][40/5005] Time 0.192 (0.256) Data 0.041 (0.101) Loss 2.4066 (2.5133) Prec@1 47.266 (43.436) Prec@5 71.094 (69.503)
Epoch: [30][50/5005] Time 0.199 (0.245) Data 0.047 (0.090) Loss 2.2649 (2.5136) Prec@1 48.047 (43.313) Prec@5 73.047 (69.439)
Epoch: [30][60/5005] Time 0.192 (0.237) Data 0.068 (0.084) Loss 2.4797 (2.5164) Prec@1 43.750 (43.212) Prec@5 71.484 (69.269)
Epoch: [30][70/5005] Time 0.204 (0.232) Data 0.047 (0.079) Loss 2.5533 (2.5261) Prec@1 42.188 (42.991) Prec@5 67.578 (69.146)
Epoch: [30][80/5005] Time 0.198 (0.231) Data 0.043 (0.075) Loss 2.3245 (2.5202) Prec@1 46.094 (43.003) Prec@5 72.656 (69.256)
Epoch: [30][90/5005] Time 0.197 (0.227) Data 0.050 (0.073) Loss 2.5739 (2.5203) Prec@1 45.312 (43.093) Prec@5 68.750 (69.360)
Epoch: [30][100/5005] Time 0.197 (0.225) Data 0.044 (0.070) Loss 2.2820 (2.5233) Prec@1 46.484 (42.980) Prec@5 72.656 (69.206)
Epoch: [30][110/5005] Time 0.194 (0.223) Data 0.060 (0.069) Loss 2.6206 (2.5244) Prec@1 46.094 (43.148) Prec@5 65.625 (69.148)
Epoch: [30][120/5005] Time 0.205 (0.221) Data 0.042 (0.068) Loss 2.6318 (2.5273) Prec@1 38.281 (43.108) Prec@5 66.797 (69.079)
Epoch: [30][130/5005] Time 0.198 (0.222) Data 0.040 (0.069) Loss 2.7363 (2.5291) Prec@1 42.188 (43.037) Prec@5 66.016 (69.021)
Epoch: [30][140/5005] Time 0.202 (0.221) Data 0.054 (0.070) Loss 2.5032 (2.5281) Prec@1 45.703 (43.068) Prec@5 68.359 (69.019)
Epoch: [30][150/5005] Time 0.203 (0.223) Data 0.047 (0.073) Loss 2.5517 (2.5298) Prec@1 44.141 (43.054) Prec@5 67.188 (69.011)
Epoch: [30][160/5005] Time 0.195 (0.224) Data 0.041 (0.074) Loss 2.4613 (2.5319) Prec@1 42.969 (43.063) Prec@5 68.359 (68.934)
Epoch: [30][170/5005] Time 0.201 (0.222) Data 0.049 (0.073) Loss 2.6305 (2.5325) Prec@1 44.531 (43.104) Prec@5 67.969 (68.910)
Epoch: [30][180/5005] Time 0.325 (0.224) Data 0.239 (0.076) Loss 2.7938 (2.5347) Prec@1 39.844 (43.113) Prec@5 65.234 (68.895)
Epoch: [30][190/5005] Time 0.207 (0.224) Data 0.057 (0.077) Loss 2.5136 (2.5379) Prec@1 46.094 (43.044) Prec@5 68.750 (68.836)
Epoch: [30][200/5005] Time 0.214 (0.226) Data 0.047 (0.079) Loss 2.8006 (2.5400) Prec@1 37.500 (42.998) Prec@5 67.578 (68.824)
Epoch: [30][210/5005] Time 0.216 (0.226) Data 0.049 (0.078) Loss 2.4011 (2.5395) Prec@1 44.922 (43.021) Prec@5 73.438 (68.848)
Epoch: [30][220/5005] Time 0.213 (0.226) Data 0.045 (0.078) Loss 2.6142 (2.5394) Prec@1 42.188 (43.009) Prec@5 67.969 (68.860)
Epoch: [30][230/5005] Time 0.226 (0.228) Data 0.041 (0.080) Loss 2.5858 (2.5388) Prec@1 40.234 (43.063) Prec@5 66.406 (68.858)
Epoch: [30][240/5005] Time 0.197 (0.227) Data 0.048 (0.079) Loss 2.5284 (2.5377) Prec@1 42.188 (43.103) Prec@5 69.141 (68.875)
Epoch: [30][250/5005] Time 0.206 (0.227) Data 0.056 (0.078) Loss 2.7387 (2.5361) Prec@1 39.453 (43.123) Prec@5 67.188 (68.932)
Epoch: [30][260/5005] Time 0.224 (0.228) Data 0.047 (0.080) Loss 2.3607 (2.5353) Prec@1 43.750 (43.142) Prec@5 69.922 (68.945)
Epoch: [30][270/5005] Time 0.199 (0.228) Data 0.057 (0.080) Loss 2.4413 (2.5351) Prec@1 42.188 (43.122) Prec@5 71.094 (68.975)
Epoch: [30][280/5005] Time 0.209 (0.229) Data 0.048 (0.081) Loss 2.8186 (2.5371) Prec@1 39.453 (43.101) Prec@5 59.766 (68.924)
Epoch: [30][290/5005] Time 0.209 (0.230) Data 0.054 (0.082) Loss 2.3875 (2.5397) Prec@1 46.484 (43.056) Prec@5 71.484 (68.878)
Epoch: [30][300/5005] Time 0.210 (0.229) Data 0.046 (0.081) Loss 2.3529 (2.5385) Prec@1 43.359 (43.097) Prec@5 72.266 (68.912)
Epoch: [30][310/5005] Time 0.203 (0.229) Data 0.118 (0.081) Loss 2.4799 (2.5362) Prec@1 44.531 (43.128) Prec@5 70.703 (68.956)
Epoch: [30][320/5005] Time 0.209 (0.230) Data 0.048 (0.082) Loss 2.7726 (2.5373) Prec@1 45.312 (43.126) Prec@5 66.406 (68.935)
Epoch: [30][330/5005] Time 0.289 (0.230) Data 0.199 (0.083) Loss 2.2379 (2.5352) Prec@1 47.656 (43.165) Prec@5 74.609 (68.962)
Epoch: [30][340/5005] Time 0.199 (0.231) Data 0.056 (0.084) Loss 2.6683 (2.5380) Prec@1 42.188 (43.111) Prec@5 68.750 (68.916)
Epoch: [30][350/5005] Time 0.189 (0.231) Data 0.056 (0.085) Loss 2.7715 (2.5380) Prec@1 40.234 (43.108) Prec@5 61.719 (68.890)
Epoch: [30][360/5005] Time 0.216 (0.231) Data 0.048 (0.084) Loss 2.6368 (2.5377) Prec@1 40.234 (43.094) Prec@5 68.359 (68.860)
Epoch: [30][370/5005] Time 0.218 (0.230) Data 0.040 (0.083) Loss 2.4875 (2.5359) Prec@1 42.578 (43.116) Prec@5 68.359 (68.887)
Epoch: [30][380/5005] Time 0.217 (0.230) Data 0.051 (0.083) Loss 2.6155 (2.5355) Prec@1 41.406 (43.127) Prec@5 65.625 (68.879)
Epoch: [30][390/5005] Time 0.219 (0.229) Data 0.046 (0.082) Loss 2.4232 (2.5349) Prec@1 50.000 (43.158) Prec@5 70.312 (68.868)
Epoch: [30][400/5005] Time 0.208 (0.229) Data 0.053 (0.081) Loss 2.3688 (2.5336) Prec@1 47.656 (43.189) Prec@5 73.828 (68.878)
Epoch: [30][410/5005] Time 0.219 (0.229) Data 0.046 (0.080) Loss 2.3343 (2.5337) Prec@1 44.531 (43.185) Prec@5 71.094 (68.858)
Epoch: [30][420/5005] Time 0.206 (0.228) Data 0.044 (0.079) Loss 2.5430 (2.5330) Prec@1 45.312 (43.199) Prec@5 67.578 (68.872)
Epoch: [30][430/5005] Time 0.216 (0.228) Data 0.057 (0.079) Loss 2.4086 (2.5338) Prec@1 48.438 (43.184) Prec@5 70.703 (68.859)
Epoch: [30][440/5005] Time 0.225 (0.228) Data 0.045 (0.078) Loss 2.3416 (2.5334) Prec@1 47.266 (43.196) Prec@5 69.922 (68.877)
Epoch: [30][450/5005] Time 0.211 (0.228) Data 0.043 (0.077) Loss 2.3211 (2.5347) Prec@1 45.703 (43.170) Prec@5 69.141 (68.844)
Epoch: [30][460/5005] Time 0.213 (0.227) Data 0.047 (0.076) Loss 2.6254 (2.5360) Prec@1 41.797 (43.159) Prec@5 66.016 (68.821)
Epoch: [30][470/5005] Time 0.216 (0.227) Data 0.044 (0.076) Loss 2.5175 (2.5372) Prec@1 39.453 (43.130) Prec@5 68.750 (68.790)
Epoch: [30][480/5005] Time 0.216 (0.227) Data 0.052 (0.075) Loss 2.5825 (2.5369) Prec@1 46.094 (43.155) Prec@5 68.359 (68.798)
Epoch: [30][490/5005] Time 0.210 (0.227) Data 0.041 (0.075) Loss 2.4536 (2.5371) Prec@1 47.266 (43.166) Prec@5 71.094 (68.781)
Epoch: [30][500/5005] Time 0.217 (0.226) Data 0.042 (0.074) Loss 2.7313 (2.5387) Prec@1 41.797 (43.168) Prec@5 66.406 (68.760)
Epoch: [30][510/5005] Time 0.216 (0.226) Data 0.045 (0.074) Loss 2.8136 (2.5392) Prec@1 39.453 (43.154) Prec@5 60.547 (68.743)
Epoch: [30][520/5005] Time 0.212 (0.226) Data 0.043 (0.073) Loss 2.5127 (2.5389) Prec@1 44.141 (43.141) Prec@5 68.750 (68.766)
Epoch: [30][530/5005] Time 0.217 (0.226) Data 0.041 (0.073) Loss 2.4524 (2.5389) Prec@1 46.094 (43.131) Prec@5 69.531 (68.763)
Epoch: [30][540/5005] Time 0.208 (0.225) Data 0.042 (0.072) Loss 2.6608 (2.5396) Prec@1 43.359 (43.123) Prec@5 66.406 (68.736)
Epoch: [30][550/5005] Time 0.210 (0.225) Data 0.044 (0.071) Loss 2.6005 (2.5386) Prec@1 40.625 (43.135) Prec@5 73.438 (68.763)
Epoch: [30][560/5005] Time 0.199 (0.225) Data 0.045 (0.071) Loss 2.6718 (2.5386) Prec@1 42.969 (43.129) Prec@5 69.141 (68.779)
Epoch: [30][570/5005] Time 0.206 (0.225) Data 0.042 (0.070) Loss 2.6404 (2.5399) Prec@1 39.062 (43.080) Prec@5 69.141 (68.751)
Epoch: [30][580/5005] Time 0.221 (0.225) Data 0.041 (0.070) Loss 2.5304 (2.5388) Prec@1 42.578 (43.104) Prec@5 72.266 (68.775)
Epoch: [30][590/5005] Time 0.213 (0.224) Data 0.039 (0.070) Loss 2.6667 (2.5386) Prec@1 41.406 (43.112) Prec@5 64.062 (68.771)
Epoch: [30][600/5005] Time 0.214 (0.224) Data 0.046 (0.069) Loss 2.4857 (2.5396) Prec@1 44.531 (43.094) Prec@5 72.656 (68.760)
Epoch: [30][610/5005] Time 0.219 (0.224) Data 0.042 (0.069) Loss 2.5326 (2.5401) Prec@1 43.750 (43.088) Prec@5 69.531 (68.752)
Epoch: [30][620/5005] Time 0.216 (0.224) Data 0.043 (0.068) Loss 2.5288 (2.5402) Prec@1 47.266 (43.113) Prec@5 67.578 (68.753)
Epoch: [30][630/5005] Time 0.215 (0.224) Data 0.043 (0.068) Loss 2.7375 (2.5392) Prec@1 43.750 (43.137) Prec@5 68.750 (68.769)
Epoch: [30][640/5005] Time 0.214 (0.224) Data 0.043 (0.067) Loss 2.4513 (2.5392) Prec@1 41.016 (43.131) Prec@5 71.484 (68.773)
Epoch: [30][650/5005] Time 0.217 (0.224) Data 0.044 (0.067) Loss 2.5982 (2.5399) Prec@1 37.500 (43.119) Prec@5 68.359 (68.774)
Epoch: [30][660/5005] Time 0.211 (0.223) Data 0.043 (0.067) Loss 2.6242 (2.5392) Prec@1 38.672 (43.135) Prec@5 67.969 (68.796)
Epoch: [30][670/5005] Time 0.215 (0.223) Data 0.044 (0.066) Loss 2.7372 (2.5394) Prec@1 42.188 (43.132) Prec@5 65.625 (68.799)
Epoch: [30][680/5005] Time 0.213 (0.223) Data 0.044 (0.066) Loss 2.4089 (2.5392) Prec@1 48.047 (43.139) Prec@5 75.000 (68.809)
Epoch: [30][690/5005] Time 0.216 (0.223) Data 0.044 (0.066) Loss 2.4579 (2.5381) Prec@1 43.750 (43.162) Prec@5 73.047 (68.841)
Epoch: [30][700/5005] Time 0.216 (0.223) Data 0.043 (0.065) Loss 2.6163 (2.5378) Prec@1 41.016 (43.172) Prec@5 65.625 (68.851)
Epoch: [30][710/5005] Time 0.215 (0.223) Data 0.043 (0.065) Loss 2.4271 (2.5375) Prec@1 43.750 (43.184) Prec@5 69.922 (68.859)
Epoch: [30][720/5005] Time 0.206 (0.223) Data 0.042 (0.065) Loss 2.4792 (2.5361) Prec@1 39.453 (43.204) Prec@5 68.750 (68.878)
Epoch: [30][730/5005] Time 0.213 (0.222) Data 0.042 (0.065) Loss 2.7379 (2.5361) Prec@1 44.922 (43.208) Prec@5 66.797 (68.875)
Epoch: [30][740/5005] Time 0.203 (0.222) Data 0.044 (0.064) Loss 2.7533 (2.5361) Prec@1 41.797 (43.228) Prec@5 62.109 (68.856)
Epoch: [30][750/5005] Time 0.214 (0.222) Data 0.044 (0.064) Loss 2.3724 (2.5357) Prec@1 47.656 (43.236) Prec@5 70.703 (68.864)
Epoch: [30][760/5005] Time 0.209 (0.222) Data 0.044 (0.064) Loss 2.5060 (2.5358) Prec@1 42.969 (43.227) Prec@5 68.359 (68.865)
Epoch: [30][770/5005] Time 0.214 (0.222) Data 0.045 (0.064) Loss 2.4755 (2.5335) Prec@1 45.312 (43.275) Prec@5 71.094 (68.903)
Epoch: [30][780/5005] Time 0.224 (0.222) Data 0.041 (0.063) Loss 2.6373 (2.5338) Prec@1 42.969 (43.278) Prec@5 65.234 (68.891)
Epoch: [30][790/5005] Time 0.209 (0.222) Data 0.043 (0.063) Loss 2.5577 (2.5334) Prec@1 40.625 (43.282) Prec@5 67.969 (68.899)
Epoch: [30][800/5005] Time 0.209 (0.221) Data 0.043 (0.063) Loss 2.4023 (2.5328) Prec@1 43.359 (43.287) Prec@5 73.047 (68.907)
Epoch: [30][810/5005] Time 0.204 (0.221) Data 0.042 (0.063) Loss 2.5760 (2.5329) Prec@1 41.797 (43.290) Prec@5 67.578 (68.897)
Epoch: [30][820/5005] Time 0.211 (0.221) Data 0.044 (0.062) Loss 2.7320 (2.5335) Prec@1 39.062 (43.287) Prec@5 63.672 (68.890)
Epoch: [30][830/5005] Time 0.214 (0.221) Data 0.042 (0.062) Loss 2.5742 (2.5339) Prec@1 40.234 (43.276) Prec@5 67.969 (68.889)
Epoch: [30][840/5005] Time 0.205 (0.221) Data 0.044 (0.063) Loss 2.4108 (2.5339) Prec@1 47.266 (43.269) Prec@5 71.094 (68.890)
Epoch: [30][850/5005] Time 0.201 (0.221) Data 0.052 (0.063) Loss 2.6971 (2.5335) Prec@1 41.016 (43.267) Prec@5 66.797 (68.886)
Epoch: [30][860/5005] Time 0.207 (0.221) Data 0.042 (0.062) Loss 2.6487 (2.5336) Prec@1 42.578 (43.274) Prec@5 65.234 (68.872)
Epoch: [30][870/5005] Time 0.207 (0.221) Data 0.058 (0.063) Loss 2.4899 (2.5325) Prec@1 41.406 (43.289) Prec@5 72.266 (68.895)
Epoch: [30][880/5005] Time 0.208 (0.221) Data 0.043 (0.063) Loss 2.4826 (2.5325) Prec@1 42.578 (43.307) Prec@5 67.578 (68.898)
Epoch: [30][890/5005] Time 0.213 (0.221) Data 0.042 (0.063) Loss 2.7900 (2.5322) Prec@1 41.797 (43.315) Prec@5 65.625 (68.899)
Epoch: [30][900/5005] Time 0.204 (0.222) Data 0.055 (0.063) Loss 2.4679 (2.5321) Prec@1 46.484 (43.312) Prec@5 71.875 (68.906)
Epoch: [30][910/5005] Time 0.200 (0.221) Data 0.062 (0.063) Loss 2.4279 (2.5317) Prec@1 44.141 (43.317) Prec@5 69.141 (68.901)
Epoch: [30][920/5005] Time 0.203 (0.221) Data 0.053 (0.063) Loss 2.6065 (2.5310) Prec@1 42.188 (43.317) Prec@5 68.750 (68.915)
Epoch: [30][930/5005] Time 0.202 (0.223) Data 0.041 (0.063) Loss 2.5653 (2.5308) Prec@1 42.188 (43.316) Prec@5 68.750 (68.915)
Epoch: [30][940/5005] Time 0.214 (0.223) Data 0.045 (0.064) Loss 2.3680 (2.5308) Prec@1 44.531 (43.304) Prec@5 72.266 (68.929)
Epoch: [30][950/5005] Time 0.197 (0.223) Data 0.049 (0.064) Loss 2.6954 (2.5315) Prec@1 41.797 (43.301) Prec@5 68.750 (68.913)
Epoch: [30][960/5005] Time 0.200 (0.223) Data 0.049 (0.065) Loss 2.5580 (2.5315) Prec@1 42.969 (43.299) Prec@5 67.188 (68.910)
Epoch: [30][970/5005] Time 0.200 (0.223) Data 0.044 (0.065) Loss 2.3489 (2.5313) Prec@1 49.219 (43.305) Prec@5 71.484 (68.922)
Epoch: [30][980/5005] Time 0.203 (0.224) Data 0.070 (0.065) Loss 2.3079 (2.5306) Prec@1 50.000 (43.323) Prec@5 71.484 (68.938)
Epoch: [30][990/5005] Time 0.203 (0.223) Data 0.054 (0.065) Loss 2.6579 (2.5310) Prec@1 42.188 (43.320) Prec@5 66.016 (68.931)
Epoch: [30][1000/5005] Time 0.206 (0.223) Data 0.047 (0.065) Loss 2.5763 (2.5306) Prec@1 44.141 (43.330) Prec@5 69.922 (68.941)
Epoch: [30][1010/5005] Time 0.196 (0.223) Data 0.051 (0.065) Loss 2.6058 (2.5305) Prec@1 46.875 (43.325) Prec@5 69.141 (68.946)
Epoch: [30][1020/5005] Time 0.225 (0.223) Data 0.046 (0.065) Loss 2.3591 (2.5310) Prec@1 48.438 (43.322) Prec@5 74.609 (68.935)
Epoch: [30][1030/5005] Time 0.208 (0.223) Data 0.041 (0.065) Loss 2.3789 (2.5304) Prec@1 44.531 (43.334) Prec@5 71.875 (68.952)
Epoch: [30][1040/5005] Time 0.216 (0.223) Data 0.044 (0.064) Loss 2.5948 (2.5304) Prec@1 39.844 (43.326) Prec@5 66.406 (68.950)
Epoch: [30][1050/5005] Time 0.217 (0.223) Data 0.042 (0.064) Loss 2.7087 (2.5307) Prec@1 38.281 (43.313) Prec@5 67.188 (68.945)
Epoch: [30][1060/5005] Time 0.210 (0.223) Data 0.040 (0.064) Loss 2.6811 (2.5309) Prec@1 41.797 (43.310) Prec@5 64.453 (68.944)
Epoch: [30][1070/5005] Time 0.206 (0.223) Data 0.040 (0.064) Loss 2.5619 (2.5311) Prec@1 45.703 (43.314) Prec@5 66.797 (68.941)
Epoch: [30][1080/5005] Time 0.216 (0.222) Data 0.043 (0.064) Loss 2.5061 (2.5309) Prec@1 44.141 (43.313) Prec@5 71.484 (68.934)
Epoch: [30][1090/5005] Time 0.210 (0.222) Data 0.043 (0.063) Loss 2.4526 (2.5304) Prec@1 44.531 (43.320) Prec@5 69.922 (68.943)
Epoch: [30][1100/5005] Time 0.213 (0.222) Data 0.042 (0.063) Loss 2.5029 (2.5299) Prec@1 45.703 (43.335) Prec@5 70.703 (68.963)
Epoch: [30][1110/5005] Time 0.211 (0.222) Data 0.042 (0.063) Loss 2.6250 (2.5295) Prec@1 37.891 (43.347) Prec@5 66.797 (68.968)
Epoch: [30][1120/5005] Time 0.213 (0.222) Data 0.044 (0.063) Loss 2.3375 (2.5285) Prec@1 49.609 (43.358) Prec@5 69.922 (68.976)
Epoch: [30][1130/5005] Time 0.215 (0.222) Data 0.044 (0.063) Loss 2.5288 (2.5291) Prec@1 41.797 (43.353) Prec@5 69.531 (68.964)
Epoch: [30][1140/5005] Time 0.194 (0.222) Data 0.041 (0.063) Loss 2.4905 (2.5285) Prec@1 44.141 (43.372) Prec@5 69.922 (68.976)
Epoch: [30][1150/5005] Time 0.204 (0.222) Data 0.044 (0.062) Loss 2.5664 (2.5280) Prec@1 38.672 (43.384) Prec@5 67.188 (68.979)
Epoch: [30][1160/5005] Time 0.215 (0.222) Data 0.041 (0.062) Loss 2.6789 (2.5278) Prec@1 42.578 (43.390) Prec@5 66.797 (68.981)
Epoch: [30][1170/5005] Time 0.224 (0.222) Data 0.043 (0.062) Loss 2.4503 (2.5278) Prec@1 42.578 (43.386) Prec@5 69.922 (68.981)
Epoch: [30][1180/5005] Time 0.217 (0.221) Data 0.042 (0.062) Loss 2.4282 (2.5274) Prec@1 46.484 (43.388) Prec@5 70.703 (68.985)
Epoch: [30][1190/5005] Time 0.226 (0.221) Data 0.046 (0.062) Loss 2.3308 (2.5268) Prec@1 48.047 (43.391) Prec@5 73.047 (68.991)
Epoch: [30][1200/5005] Time 0.202 (0.221) Data 0.048 (0.062) Loss 2.5391 (2.5268) Prec@1 43.750 (43.391) Prec@5 72.266 (68.992)
Epoch: [30][1210/5005] Time 0.216 (0.221) Data 0.050 (0.062) Loss 2.5606 (2.5271) Prec@1 38.672 (43.382) Prec@5 69.531 (68.995)
Epoch: [30][1220/5005] Time 0.199 (0.221) Data 0.050 (0.062) Loss 2.5699 (2.5273) Prec@1 37.891 (43.371) Prec@5 69.531 (69.000)
Epoch: [30][1230/5005] Time 0.191 (0.221) Data 0.099 (0.062) Loss 2.5889 (2.5275) Prec@1 41.016 (43.363) Prec@5 66.406 (69.000)
Epoch: [30][1240/5005] Time 0.210 (0.221) Data 0.059 (0.062) Loss 2.5155 (2.5276) Prec@1 42.578 (43.369) Prec@5 69.141 (68.995)
Epoch: [30][1250/5005] Time 0.210 (0.221) Data 0.057 (0.062) Loss 2.7014 (2.5276) Prec@1 43.750 (43.369) Prec@5 65.625 (68.990)
Epoch: [30][1260/5005] Time 0.208 (0.221) Data 0.044 (0.062) Loss 2.3140 (2.5271) Prec@1 48.438 (43.373) Prec@5 74.219 (69.005)
Epoch: [30][1270/5005] Time 0.238 (0.221) Data 0.151 (0.062) Loss 2.6623 (2.5276) Prec@1 43.750 (43.371) Prec@5 68.359 (68.988)
Epoch: [30][1280/5005] Time 0.204 (0.221) Data 0.050 (0.063) Loss 2.4982 (2.5278) Prec@1 46.875 (43.376) Prec@5 66.797 (68.982)
Epoch: [30][1290/5005] Time 0.462 (0.222) Data 0.381 (0.063) Loss 2.3011 (2.5275) Prec@1 50.000 (43.384) Prec@5 71.094 (68.985)
Epoch: [30][1300/5005] Time 0.221 (0.222) Data 0.047 (0.063) Loss 2.3879 (2.5273) Prec@1 46.875 (43.391) Prec@5 70.312 (68.985)
Epoch: [30][1310/5005] Time 0.204 (0.222) Data 0.061 (0.063) Loss 2.4763 (2.5269) Prec@1 43.359 (43.403) Prec@5 73.047 (68.995)
Epoch: [30][1320/5005] Time 0.206 (0.221) Data 0.043 (0.063) Loss 2.5929 (2.5268) Prec@1 42.188 (43.406) Prec@5 70.703 (68.993)
Epoch: [30][1330/5005] Time 0.207 (0.221) Data 0.052 (0.063) Loss 2.7480 (2.5274) Prec@1 37.109 (43.393) Prec@5 65.625 (68.981)
Epoch: [30][1340/5005] Time 0.200 (0.221) Data 0.059 (0.063) Loss 2.4370 (2.5272) Prec@1 42.188 (43.402) Prec@5 69.922 (68.985)
Epoch: [30][1350/5005] Time 0.281 (0.221) Data 0.192 (0.064) Loss 2.8329 (2.5276) Prec@1 40.625 (43.392) Prec@5 63.672 (68.978)
Epoch: [30][1360/5005] Time 0.226 (0.221) Data 0.135 (0.064) Loss 2.3265 (2.5274) Prec@1 46.875 (43.396) Prec@5 71.875 (68.978)
Epoch: [30][1370/5005] Time 0.205 (0.222) Data 0.042 (0.064) Loss 2.5075 (2.5271) Prec@1 42.969 (43.394) Prec@5 71.094 (68.982)
Epoch: [30][1380/5005] Time 0.205 (0.221) Data 0.046 (0.064) Loss 2.5605 (2.5268) Prec@1 41.406 (43.398) Prec@5 70.703 (68.989)
Epoch: [30][1390/5005] Time 0.204 (0.222) Data 0.049 (0.064) Loss 2.3278 (2.5269) Prec@1 52.344 (43.404) Prec@5 71.875 (68.983)
Epoch: [30][1400/5005] Time 0.213 (0.222) Data 0.088 (0.065) Loss 2.4305 (2.5259) Prec@1 44.141 (43.414) Prec@5 70.312 (69.006)
Epoch: [30][1410/5005] Time 0.242 (0.222) Data 0.152 (0.065) Loss 2.4039 (2.5253) Prec@1 46.484 (43.431) Prec@5 71.094 (69.020)
Epoch: [30][1420/5005] Time 0.449 (0.222) Data 0.368 (0.065) Loss 2.7212 (2.5254) Prec@1 38.672 (43.424) Prec@5 65.234 (69.021)
Epoch: [30][1430/5005] Time 0.209 (0.222) Data 0.040 (0.065) Loss 2.1146 (2.5250) Prec@1 51.562 (43.436) Prec@5 76.562 (69.034)
Epoch: [30][1440/5005] Time 0.214 (0.222) Data 0.134 (0.065) Loss 2.3487 (2.5249) Prec@1 48.438 (43.438) Prec@5 71.094 (69.037)
Epoch: [30][1450/5005] Time 0.201 (0.222) Data 0.061 (0.066) Loss 2.4623 (2.5249) Prec@1 42.969 (43.432) Prec@5 72.266 (69.040)
Epoch: [30][1460/5005] Time 0.190 (0.222) Data 0.061 (0.066) Loss 2.4856 (2.5247) Prec@1 41.406 (43.433) Prec@5 64.453 (69.036)
Epoch: [30][1470/5005] Time 0.209 (0.222) Data 0.043 (0.066) Loss 2.6725 (2.5249) Prec@1 41.406 (43.438) Prec@5 66.016 (69.032)
Epoch: [30][1480/5005] Time 0.218 (0.222) Data 0.046 (0.066) Loss 2.4975 (2.5251) Prec@1 44.531 (43.446) Prec@5 71.875 (69.024)
Epoch: [30][1490/5005] Time 0.209 (0.222) Data 0.040 (0.066) Loss 2.6167 (2.5249) Prec@1 42.188 (43.448) Prec@5 68.359 (69.029)
Epoch: [30][1500/5005] Time 0.588 (0.222) Data 0.507 (0.066) Loss 2.5748 (2.5248) Prec@1 46.094 (43.449) Prec@5 66.016 (69.027)
Epoch: [30][1510/5005] Time 0.193 (0.222) Data 0.086 (0.066) Loss 2.3845 (2.5247) Prec@1 42.578 (43.455) Prec@5 69.531 (69.035)
Epoch: [30][1520/5005] Time 0.209 (0.222) Data 0.062 (0.066) Loss 2.5377 (2.5246) Prec@1 43.750 (43.453) Prec@5 69.922 (69.037)
Epoch: [30][1530/5005] Time 0.200 (0.222) Data 0.048 (0.066) Loss 2.5360 (2.5246) Prec@1 42.188 (43.444) Prec@5 68.750 (69.029)
Epoch: [30][1540/5005] Time 0.214 (0.222) Data 0.047 (0.066) Loss 2.6084 (2.5251) Prec@1 42.188 (43.444) Prec@5 66.016 (69.022)
Epoch: [30][1550/5005] Time 0.200 (0.222) Data 0.043 (0.066) Loss 2.4525 (2.5248) Prec@1 44.141 (43.452) Prec@5 68.750 (69.027)
Epoch: [30][1560/5005] Time 0.212 (0.222) Data 0.054 (0.066) Loss 2.3428 (2.5249) Prec@1 46.875 (43.451) Prec@5 69.922 (69.027)
Epoch: [30][1570/5005] Time 0.192 (0.223) Data 0.044 (0.067) Loss 2.3973 (2.5246) Prec@1 48.828 (43.458) Prec@5 71.875 (69.035)
Epoch: [30][1580/5005] Time 0.204 (0.222) Data 0.043 (0.067) Loss 2.4522 (2.5247) Prec@1 39.453 (43.449) Prec@5 74.609 (69.037)
Epoch: [30][1590/5005] Time 0.204 (0.223) Data 0.053 (0.067) Loss 2.3895 (2.5245) Prec@1 46.484 (43.449) Prec@5 71.484 (69.042)
Epoch: [30][1600/5005] Time 0.210 (0.223) Data 0.045 (0.067) Loss 2.5013 (2.5244) Prec@1 44.922 (43.447) Prec@5 68.750 (69.045)
Epoch: [30][1610/5005] Time 0.200 (0.223) Data 0.043 (0.067) Loss 2.6624 (2.5243) Prec@1 41.016 (43.449) Prec@5 67.188 (69.046)
Epoch: [30][1620/5005] Time 0.207 (0.223) Data 0.041 (0.067) Loss 2.6096 (2.5240) Prec@1 42.578 (43.449) Prec@5 67.578 (69.049)
Epoch: [30][1630/5005] Time 0.205 (0.223) Data 0.045 (0.067) Loss 2.3672 (2.5237) Prec@1 49.219 (43.454) Prec@5 70.312 (69.047)
Epoch: [30][1640/5005] Time 0.207 (0.223) Data 0.052 (0.067) Loss 2.4716 (2.5238) Prec@1 46.484 (43.450) Prec@5 67.969 (69.045)
Epoch: [30][1650/5005] Time 0.206 (0.223) Data 0.043 (0.067) Loss 2.7214 (2.5236) Prec@1 39.844 (43.451) Prec@5 64.453 (69.050)
Epoch: [30][1660/5005] Time 0.208 (0.222) Data 0.046 (0.067) Loss 2.4629 (2.5229) Prec@1 45.312 (43.467) Prec@5 69.531 (69.063)
Epoch: [30][1670/5005] Time 0.354 (0.223) Data 0.272 (0.068) Loss 2.2903 (2.5229) Prec@1 44.531 (43.469) Prec@5 73.047 (69.065)
Epoch: [30][1680/5005] Time 0.208 (0.223) Data 0.048 (0.068) Loss 2.7646 (2.5232) Prec@1 41.406 (43.466) Prec@5 68.359 (69.061)
Epoch: [30][1690/5005] Time 0.198 (0.223) Data 0.092 (0.068) Loss 2.3058 (2.5227) Prec@1 47.656 (43.479) Prec@5 72.656 (69.072)
Epoch: [30][1700/5005] Time 0.198 (0.222) Data 0.045 (0.068) Loss 2.5578 (2.5223) Prec@1 42.188 (43.488) Prec@5 70.312 (69.079)
Epoch: [30][1710/5005] Time 0.211 (0.223) Data 0.048 (0.068) Loss 2.3934 (2.5218) Prec@1 41.016 (43.494) Prec@5 71.875 (69.087)
Epoch: [30][1720/5005] Time 0.205 (0.223) Data 0.044 (0.068) Loss 2.6440 (2.5219) Prec@1 40.625 (43.485) Prec@5 69.141 (69.086)
Epoch: [30][1730/5005] Time 0.200 (0.223) Data 0.047 (0.068) Loss 2.4788 (2.5217) Prec@1 42.969 (43.494) Prec@5 71.094 (69.094)
Epoch: [30][1740/5005] Time 0.209 (0.223) Data 0.045 (0.068) Loss 2.6105 (2.5214) Prec@1 40.234 (43.498) Prec@5 67.578 (69.100)
Epoch: [30][1750/5005] Time 0.197 (0.223) Data 0.047 (0.068) Loss 2.5028 (2.5213) Prec@1 43.359 (43.499) Prec@5 68.359 (69.100)
Epoch: [30][1760/5005] Time 0.211 (0.223) Data 0.048 (0.068) Loss 2.3076 (2.5211) Prec@1 48.047 (43.505) Prec@5 72.266 (69.103)
Epoch: [30][1770/5005] Time 0.201 (0.223) Data 0.044 (0.068) Loss 2.5999 (2.5211) Prec@1 41.797 (43.506) Prec@5 69.141 (69.103)
Epoch: [30][1780/5005] Time 0.197 (0.223) Data 0.050 (0.068) Loss 2.4155 (2.5207) Prec@1 43.750 (43.516) Prec@5 69.531 (69.110)
Epoch: [30][1790/5005] Time 0.198 (0.223) Data 0.050 (0.068) Loss 2.3745 (2.5205) Prec@1 46.484 (43.515) Prec@5 71.094 (69.111)
Epoch: [30][1800/5005] Time 0.211 (0.223) Data 0.055 (0.068) Loss 2.5473 (2.5203) Prec@1 43.750 (43.521) Prec@5 68.750 (69.116)
Epoch: [30][1810/5005] Time 0.200 (0.223) Data 0.056 (0.068) Loss 2.2531 (2.5200) Prec@1 49.609 (43.521) Prec@5 73.047 (69.120)
Epoch: [30][1820/5005] Time 0.212 (0.223) Data 0.048 (0.068) Loss 2.4913 (2.5197) Prec@1 41.406 (43.529) Prec@5 67.969 (69.127)
Epoch: [30][1830/5005] Time 0.430 (0.223) Data 0.343 (0.069) Loss 2.2903 (2.5192) Prec@1 48.047 (43.539) Prec@5 73.047 (69.138)
Epoch: [30][1840/5005] Time 0.210 (0.223) Data 0.047 (0.069) Loss 2.6339 (2.5191) Prec@1 43.359 (43.538) Prec@5 68.359 (69.140)
Epoch: [30][1850/5005] Time 0.212 (0.223) Data 0.058 (0.069) Loss 2.4557 (2.5186) Prec@1 45.703 (43.555) Prec@5 69.141 (69.147)
Epoch: [30][1860/5005] Time 0.198 (0.223) Data 0.053 (0.069) Loss 2.5417 (2.5187) Prec@1 45.703 (43.547) Prec@5 69.141 (69.145)
Epoch: [30][1870/5005] Time 0.268 (0.223) Data 0.182 (0.069) Loss 2.7050 (2.5189) Prec@1 36.719 (43.541) Prec@5 64.844 (69.143)
Epoch: [30][1880/5005] Time 0.203 (0.223) Data 0.046 (0.069) Loss 2.5681 (2.5190) Prec@1 42.578 (43.539) Prec@5 69.531 (69.145)
Epoch: [30][1890/5005] Time 0.202 (0.223) Data 0.047 (0.069) Loss 2.4857 (2.5187) Prec@1 44.531 (43.549) Prec@5 68.359 (69.149)
Epoch: [30][1900/5005] Time 0.384 (0.223) Data 0.297 (0.069) Loss 2.5138 (2.5191) Prec@1 44.531 (43.539) Prec@5 68.750 (69.143)
Epoch: [30][1910/5005] Time 0.210 (0.223) Data 0.126 (0.069) Loss 2.4898 (2.5190) Prec@1 40.234 (43.538) Prec@5 69.141 (69.137)
Epoch: [30][1920/5005] Time 0.189 (0.223) Data 0.056 (0.070) Loss 2.4668 (2.5187) Prec@1 44.141 (43.540) Prec@5 72.656 (69.146)
Epoch: [30][1930/5005] Time 0.209 (0.223) Data 0.047 (0.070) Loss 2.4339 (2.5185) Prec@1 45.312 (43.543) Prec@5 69.922 (69.154)
Epoch: [30][1940/5005] Time 0.216 (0.223) Data 0.056 (0.070) Loss 2.3600 (2.5179) Prec@1 46.094 (43.543) Prec@5 70.312 (69.160)
Epoch: [30][1950/5005] Time 0.212 (0.223) Data 0.047 (0.070) Loss 2.5283 (2.5179) Prec@1 44.141 (43.539) Prec@5 66.406 (69.158)
Epoch: [30][1960/5005] Time 0.204 (0.223) Data 0.044 (0.070) Loss 2.4769 (2.5176) Prec@1 42.578 (43.544) Prec@5 70.312 (69.164)
Epoch: [30][1970/5005] Time 0.212 (0.223) Data 0.044 (0.070) Loss 2.5120 (2.5178) Prec@1 42.969 (43.538) Prec@5 66.016 (69.160)
Epoch: [30][1980/5005] Time 0.203 (0.223) Data 0.045 (0.070) Loss 2.2038 (2.5174) Prec@1 46.875 (43.542) Prec@5 72.266 (69.168)
Epoch: [30][1990/5005] Time 0.204 (0.223) Data 0.047 (0.070) Loss 2.3129 (2.5172) Prec@1 46.484 (43.550) Prec@5 72.266 (69.168)
Epoch: [30][2000/5005] Time 0.200 (0.223) Data 0.049 (0.070) Loss 2.3594 (2.5174) Prec@1 47.656 (43.551) Prec@5 71.094 (69.160)
Epoch: [30][2010/5005] Time 0.200 (0.223) Data 0.041 (0.070) Loss 2.5042 (2.5174) Prec@1 40.234 (43.543) Prec@5 69.922 (69.158)
Epoch: [30][2020/5005] Time 0.199 (0.223) Data 0.058 (0.070) Loss 2.4386 (2.5175) Prec@1 44.141 (43.539) Prec@5 68.750 (69.156)
Epoch: [30][2030/5005] Time 0.205 (0.223) Data 0.052 (0.070) Loss 2.4716 (2.5175) Prec@1 41.406 (43.540) Prec@5 71.094 (69.158)
Epoch: [30][2040/5005] Time 0.415 (0.223) Data 0.330 (0.070) Loss 2.1782 (2.5173) Prec@1 46.484 (43.543) Prec@5 76.172 (69.168)
Epoch: [30][2050/5005] Time 0.197 (0.223) Data 0.049 (0.070) Loss 2.6643 (2.5173) Prec@1 42.188 (43.541) Prec@5 68.359 (69.168)
Epoch: [30][2060/5005] Time 0.200 (0.223) Data 0.084 (0.070) Loss 2.4383 (2.5173) Prec@1 42.188 (43.533) Prec@5 69.531 (69.166)
Epoch: [30][2070/5005] Time 0.207 (0.223) Data 0.050 (0.071) Loss 2.7763 (2.5177) Prec@1 42.578 (43.529) Prec@5 65.234 (69.157)
Epoch: [30][2080/5005] Time 0.207 (0.223) Data 0.120 (0.071) Loss 2.5716 (2.5177) Prec@1 42.188 (43.533) Prec@5 68.359 (69.156)
Epoch: [30][2090/5005] Time 0.184 (0.223) Data 0.105 (0.071) Loss 2.3566 (2.5172) Prec@1 42.578 (43.542) Prec@5 69.922 (69.165)
Epoch: [30][2100/5005] Time 0.203 (0.223) Data 0.058 (0.071) Loss 2.4663 (2.5169) Prec@1 43.750 (43.542) Prec@5 73.047 (69.170)
Epoch: [30][2110/5005] Time 0.198 (0.223) Data 0.059 (0.071) Loss 2.4313 (2.5170) Prec@1 45.703 (43.537) Prec@5 70.703 (69.169)
Epoch: [30][2120/5005] Time 0.194 (0.223) Data 0.047 (0.071) Loss 2.6939 (2.5169) Prec@1 39.453 (43.536) Prec@5 65.234 (69.169)
Epoch: [30][2130/5005] Time 0.199 (0.223) Data 0.041 (0.071) Loss 2.5877 (2.5166) Prec@1 42.969 (43.535) Prec@5 68.750 (69.175)
Epoch: [30][2140/5005] Time 0.239 (0.223) Data 0.159 (0.071) Loss 2.3659 (2.5168) Prec@1 47.656 (43.535) Prec@5 69.922 (69.174)
Epoch: [30][2150/5005] Time 0.201 (0.223) Data 0.039 (0.071) Loss 2.3329 (2.5167) Prec@1 46.875 (43.541) Prec@5 70.703 (69.177)
Epoch: [30][2160/5005] Time 0.201 (0.223) Data 0.044 (0.071) Loss 2.5123 (2.5165) Prec@1 42.969 (43.541) Prec@5 67.188 (69.178)
Epoch: [30][2170/5005] Time 0.207 (0.223) Data 0.040 (0.071) Loss 2.2003 (2.5163) Prec@1 51.172 (43.543) Prec@5 73.047 (69.184)
Epoch: [30][2180/5005] Time 0.655 (0.224) Data 0.562 (0.072) Loss 2.5024 (2.5163) Prec@1 47.656 (43.547) Prec@5 67.188 (69.183)
Epoch: [30][2190/5005] Time 0.208 (0.223) Data 0.054 (0.072) Loss 2.7792 (2.5164) Prec@1 39.062 (43.548) Prec@5 64.062 (69.181)
Epoch: [30][2200/5005] Time 0.204 (0.223) Data 0.038 (0.072) Loss 2.4647 (2.5165) Prec@1 42.188 (43.542) Prec@5 70.312 (69.184)
Epoch: [30][2210/5005] Time 0.199 (0.223) Data 0.055 (0.072) Loss 2.5412 (2.5168) Prec@1 42.578 (43.539) Prec@5 67.969 (69.175)
Epoch: [30][2220/5005] Time 0.748 (0.224) Data 0.661 (0.072) Loss 2.6481 (2.5166) Prec@1 41.797 (43.539) Prec@5 69.141 (69.176)
Epoch: [30][2230/5005] Time 0.212 (0.224) Data 0.053 (0.072) Loss 2.4082 (2.5166) Prec@1 48.047 (43.537) Prec@5 71.484 (69.175)
Epoch: [30][2240/5005] Time 0.200 (0.223) Data 0.044 (0.072) Loss 2.5120 (2.5167) Prec@1 43.750 (43.535) Prec@5 70.703 (69.177)
Epoch: [30][2250/5005] Time 0.210 (0.223) Data 0.044 (0.072) Loss 2.3945 (2.5167) Prec@1 45.703 (43.535) Prec@5 76.172 (69.178)
Epoch: [30][2260/5005] Time 0.205 (0.223) Data 0.042 (0.072) Loss 2.2635 (2.5162) Prec@1 43.750 (43.541) Prec@5 73.047 (69.187)
Epoch: [30][2270/5005] Time 0.258 (0.223) Data 0.176 (0.072) Loss 2.7437 (2.5160) Prec@1 39.844 (43.549) Prec@5 64.844 (69.190)
Epoch: [30][2280/5005] Time 0.201 (0.223) Data 0.096 (0.071) Loss 2.4967 (2.5161) Prec@1 43.750 (43.549) Prec@5 68.359 (69.190)
Epoch: [30][2290/5005] Time 0.212 (0.223) Data 0.045 (0.072) Loss 2.3513 (2.5160) Prec@1 45.312 (43.550) Prec@5 74.219 (69.193)
Epoch: [30][2300/5005] Time 0.203 (0.223) Data 0.042 (0.072) Loss 2.3879 (2.5158) Prec@1 45.703 (43.552) Prec@5 69.922 (69.199)
Epoch: [30][2310/5005] Time 0.194 (0.223) Data 0.073 (0.072) Loss 2.2923 (2.5157) Prec@1 50.781 (43.564) Prec@5 73.047 (69.200)
Epoch: [30][2320/5005] Time 0.205 (0.223) Data 0.047 (0.072) Loss 2.6053 (2.5157) Prec@1 46.094 (43.568) Prec@5 69.141 (69.204)
Epoch: [30][2330/5005] Time 0.201 (0.223) Data 0.040 (0.072) Loss 2.4636 (2.5156) Prec@1 45.312 (43.572) Prec@5 71.094 (69.206)
Epoch: [30][2340/5005] Time 0.388 (0.223) Data 0.304 (0.072) Loss 2.4492 (2.5153) Prec@1 45.703 (43.575) Prec@5 69.922 (69.210)
Epoch: [30][2350/5005] Time 0.194 (0.223) Data 0.053 (0.072) Loss 2.3181 (2.5151) Prec@1 44.922 (43.576) Prec@5 72.266 (69.212)
Epoch: [30][2360/5005] Time 0.200 (0.223) Data 0.045 (0.072) Loss 2.3849 (2.5150) Prec@1 41.016 (43.577) Prec@5 72.656 (69.213)
Epoch: [30][2370/5005] Time 0.215 (0.223) Data 0.041 (0.072) Loss 2.5596 (2.5152) Prec@1 41.016 (43.572) Prec@5 66.797 (69.212)
Epoch: [30][2380/5005] Time 0.199 (0.223) Data 0.047 (0.072) Loss 2.5964 (2.5150) Prec@1 45.703 (43.575) Prec@5 66.016 (69.217)
Epoch: [30][2390/5005] Time 0.204 (0.223) Data 0.042 (0.072) Loss 2.5808 (2.5149) Prec@1 42.578 (43.577) Prec@5 64.453 (69.220)
Epoch: [30][2400/5005] Time 0.205 (0.223) Data 0.050 (0.072) Loss 2.3707 (2.5147) Prec@1 45.703 (43.580) Prec@5 73.438 (69.224)
Epoch: [30][2410/5005] Time 0.197 (0.223) Data 0.044 (0.072) Loss 2.7554 (2.5148) Prec@1 39.844 (43.582) Prec@5 65.234 (69.220)
Epoch: [30][2420/5005] Time 0.202 (0.223) Data 0.064 (0.072) Loss 2.5415 (2.5146) Prec@1 41.406 (43.585) Prec@5 68.750 (69.228)
Epoch: [30][2430/5005] Time 0.203 (0.223) Data 0.040 (0.072) Loss 2.4656 (2.5147) Prec@1 41.797 (43.581) Prec@5 67.578 (69.227)
Epoch: [30][2440/5005] Time 0.204 (0.223) Data 0.045 (0.072) Loss 2.1624 (2.5145) Prec@1 51.562 (43.588) Prec@5 75.781 (69.231)
Epoch: [30][2450/5005] Time 0.202 (0.223) Data 0.043 (0.072) Loss 2.4292 (2.5142) Prec@1 45.703 (43.593) Prec@5 69.922 (69.235)
Epoch: [30][2460/5005] Time 0.217 (0.223) Data 0.131 (0.072) Loss 2.5228 (2.5140) Prec@1 39.453 (43.594) Prec@5 71.094 (69.239)
Epoch: [30][2470/5005] Time 0.200 (0.223) Data 0.043 (0.072) Loss 2.4256 (2.5137) Prec@1 46.094 (43.601) Prec@5 71.875 (69.245)
Epoch: [30][2480/5005] Time 0.210 (0.223) Data 0.061 (0.072) Loss 2.5850 (2.5139) Prec@1 41.797 (43.596) Prec@5 69.922 (69.246)
Epoch: [30][2490/5005] Time 0.205 (0.223) Data 0.052 (0.072) Loss 2.3348 (2.5138) Prec@1 46.875 (43.594) Prec@5 72.656 (69.249)
Epoch: [30][2500/5005] Time 0.204 (0.223) Data 0.041 (0.072) Loss 2.6004 (2.5136) Prec@1 46.484 (43.600) Prec@5 67.188 (69.252)
Epoch: [30][2510/5005] Time 0.204 (0.223) Data 0.043 (0.072) Loss 2.5686 (2.5136) Prec@1 41.016 (43.601) Prec@5 69.141 (69.254)
Epoch: [30][2520/5005] Time 0.384 (0.223) Data 0.293 (0.073) Loss 2.3955 (2.5135) Prec@1 48.438 (43.603) Prec@5 71.875 (69.256)
Epoch: [30][2530/5005] Time 0.193 (0.224) Data 0.045 (0.073) Loss 2.7362 (2.5136) Prec@1 39.844 (43.601) Prec@5 63.281 (69.255)
Epoch: [30][2540/5005] Time 0.192 (0.223) Data 0.043 (0.073) Loss 2.4436 (2.5135) Prec@1 39.062 (43.604) Prec@5 73.047 (69.260)
Epoch: [30][2550/5005] Time 0.209 (0.223) Data 0.046 (0.072) Loss 2.4635 (2.5134) Prec@1 42.578 (43.607) Prec@5 70.312 (69.261)
Epoch: [30][2560/5005] Time 0.202 (0.223) Data 0.047 (0.072) Loss 2.7913 (2.5135) Prec@1 38.672 (43.605) Prec@5 62.891 (69.257)
Epoch: [30][2570/5005] Time 0.204 (0.223) Data 0.092 (0.072) Loss 2.5604 (2.5136) Prec@1 43.359 (43.604) Prec@5 69.531 (69.259)
Epoch: [30][2580/5005] Time 0.204 (0.223) Data 0.052 (0.073) Loss 2.5145 (2.5139) Prec@1 43.359 (43.601) Prec@5 68.359 (69.251)
Epoch: [30][2590/5005] Time 0.203 (0.224) Data 0.048 (0.073) Loss 2.6272 (2.5138) Prec@1 42.969 (43.606) Prec@5 67.188 (69.253)
Epoch: [30][2600/5005] Time 0.203 (0.223) Data 0.045 (0.073) Loss 2.6174 (2.5141) Prec@1 42.188 (43.602) Prec@5 69.141 (69.248)
Epoch: [30][2610/5005] Time 0.197 (0.223) Data 0.049 (0.073) Loss 2.7570 (2.5139) Prec@1 41.016 (43.602) Prec@5 64.844 (69.247)
Epoch: [30][2620/5005] Time 0.211 (0.223) Data 0.047 (0.072) Loss 2.4892 (2.5140) Prec@1 43.750 (43.600) Prec@5 70.703 (69.246)
Epoch: [30][2630/5005] Time 0.210 (0.223) Data 0.044 (0.073) Loss 2.6667 (2.5142) Prec@1 42.188 (43.600) Prec@5 64.844 (69.242)
Epoch: [30][2640/5005] Time 0.203 (0.223) Data 0.048 (0.073) Loss 2.6734 (2.5142) Prec@1 41.797 (43.601) Prec@5 64.062 (69.241)
Epoch: [30][2650/5005] Time 0.200 (0.223) Data 0.050 (0.073) Loss 2.7623 (2.5143) Prec@1 41.016 (43.601) Prec@5 65.625 (69.242)
Epoch: [30][2660/5005] Time 0.207 (0.223) Data 0.043 (0.073) Loss 2.4026 (2.5142) Prec@1 45.703 (43.602) Prec@5 70.312 (69.241)
Epoch: [30][2670/5005] Time 0.195 (0.224) Data 0.059 (0.073) Loss 2.2970 (2.5139) Prec@1 47.266 (43.610) Prec@5 73.438 (69.246)
Epoch: [30][2680/5005] Time 0.328 (0.224) Data 0.245 (0.073) Loss 2.4129 (2.5138) Prec@1 46.484 (43.613) Prec@5 72.266 (69.248)
Epoch: [30][2690/5005] Time 0.209 (0.224) Data 0.054 (0.073) Loss 2.3722 (2.5137) Prec@1 47.266 (43.615) Prec@5 68.750 (69.250)
Epoch: [30][2700/5005] Time 0.219 (0.223) Data 0.048 (0.073) Loss 2.3698 (2.5136) Prec@1 47.656 (43.613) Prec@5 72.656 (69.253)
Epoch: [30][2710/5005] Time 0.195 (0.224) Data 0.088 (0.073) Loss 2.3661 (2.5137) Prec@1 44.922 (43.610) Prec@5 69.531 (69.251)
Epoch: [30][2720/5005] Time 0.200 (0.223) Data 0.049 (0.073) Loss 2.3117 (2.5136) Prec@1 45.312 (43.612) Prec@5 72.656 (69.252)
Epoch: [30][2730/5005] Time 0.296 (0.224) Data 0.213 (0.073) Loss 2.6587 (2.5134) Prec@1 41.016 (43.618) Prec@5 64.844 (69.255)
Epoch: [30][2740/5005] Time 0.196 (0.223) Data 0.060 (0.073) Loss 2.3439 (2.5132) Prec@1 46.094 (43.620) Prec@5 71.875 (69.254)
Epoch: [30][2750/5005] Time 0.207 (0.224) Data 0.042 (0.073) Loss 2.4847 (2.5130) Prec@1 43.359 (43.625) Prec@5 68.359 (69.255)
Epoch: [30][2760/5005] Time 0.211 (0.224) Data 0.042 (0.073) Loss 2.5496 (2.5128) Prec@1 39.453 (43.628) Prec@5 69.531 (69.258)
Epoch: [30][2770/5005] Time 0.204 (0.223) Data 0.049 (0.073) Loss 2.4280 (2.5129) Prec@1 45.703 (43.629) Prec@5 69.141 (69.256)
Epoch: [30][2780/5005] Time 0.210 (0.223) Data 0.052 (0.073) Loss 2.7270 (2.5128) Prec@1 37.109 (43.632) Prec@5 67.188 (69.258)
Epoch: [30][2790/5005] Time 0.404 (0.223) Data 0.312 (0.073) Loss 2.7026 (2.5129) Prec@1 36.719 (43.633) Prec@5 65.234 (69.255)
Epoch: [30][2800/5005] Time 0.187 (0.223) Data 0.050 (0.073) Loss 2.2203 (2.5127) Prec@1 49.219 (43.639) Prec@5 76.953 (69.260)
Epoch: [30][2810/5005] Time 0.207 (0.223) Data 0.049 (0.073) Loss 2.6546 (2.5126) Prec@1 42.578 (43.641) Prec@5 64.062 (69.262)
Epoch: [30][2820/5005] Time 0.200 (0.223) Data 0.089 (0.073) Loss 2.2481 (2.5124) Prec@1 44.141 (43.644) Prec@5 75.391 (69.266)
Epoch: [30][2830/5005] Time 0.203 (0.223) Data 0.049 (0.073) Loss 2.7249 (2.5124) Prec@1 40.625 (43.645) Prec@5 66.406 (69.265)
Epoch: [30][2840/5005] Time 0.195 (0.223) Data 0.047 (0.073) Loss 2.6255 (2.5123) Prec@1 39.453 (43.642) Prec@5 68.750 (69.266)
Epoch: [30][2850/5005] Time 0.307 (0.223) Data 0.221 (0.073) Loss 2.6217 (2.5121) Prec@1 44.141 (43.648) Prec@5 68.359 (69.267)
Epoch: [30][2860/5005] Time 0.200 (0.223) Data 0.051 (0.073) Loss 2.6476 (2.5123) Prec@1 42.188 (43.645) Prec@5 66.797 (69.267)
Epoch: [30][2870/5005] Time 0.211 (0.223) Data 0.049 (0.073) Loss 2.3707 (2.5119) Prec@1 46.484 (43.654) Prec@5 71.484 (69.275)
Epoch: [30][2880/5005] Time 0.199 (0.223) Data 0.048 (0.073) Loss 2.4375 (2.5119) Prec@1 42.578 (43.655) Prec@5 69.531 (69.272)
Epoch: [30][2890/5005] Time 0.192 (0.223) Data 0.097 (0.073) Loss 2.5930 (2.5118) Prec@1 42.578 (43.658) Prec@5 65.234 (69.274)
Epoch: [30][2900/5005] Time 0.194 (0.223) Data 0.045 (0.074) Loss 2.1371 (2.5113) Prec@1 50.000 (43.670) Prec@5 76.172 (69.285)
Epoch: [30][2910/5005] Time 0.742 (0.224) Data 0.657 (0.074) Loss 2.4831 (2.5113) Prec@1 40.234 (43.669) Prec@5 72.266 (69.287)
Epoch: [30][2920/5005] Time 0.210 (0.223) Data 0.045 (0.074) Loss 2.6760 (2.5112) Prec@1 39.453 (43.668) Prec@5 64.844 (69.289)
Epoch: [30][2930/5005] Time 0.281 (0.223) Data 0.202 (0.074) Loss 2.6704 (2.5113) Prec@1 37.109 (43.665) Prec@5 68.359 (69.288)
Epoch: [30][2940/5005] Time 0.201 (0.223) Data 0.040 (0.074) Loss 2.5354 (2.5110) Prec@1 42.578 (43.669) Prec@5 68.359 (69.295)
Epoch: [30][2950/5005] Time 0.209 (0.223) Data 0.040 (0.074) Loss 2.7256 (2.5107) Prec@1 34.375 (43.675) Prec@5 67.578 (69.300)
Epoch: [30][2960/5005] Time 0.206 (0.223) Data 0.040 (0.074) Loss 2.4472 (2.5106) Prec@1 44.922 (43.679) Prec@5 67.578 (69.301)
Epoch: [30][2970/5005] Time 0.199 (0.223) Data 0.049 (0.074) Loss 2.6889 (2.5105) Prec@1 37.891 (43.678) Prec@5 67.188 (69.301)
Epoch: [30][2980/5005] Time 0.221 (0.223) Data 0.143 (0.074) Loss 2.5771 (2.5105) Prec@1 41.797 (43.678) Prec@5 68.750 (69.301)
Epoch: [30][2990/5005] Time 0.205 (0.224) Data 0.045 (0.074) Loss 2.3969 (2.5105) Prec@1 45.703 (43.680) Prec@5 73.828 (69.300)
Epoch: [30][3000/5005] Time 0.189 (0.224) Data 0.049 (0.074) Loss 2.5334 (2.5104) Prec@1 41.016 (43.682) Prec@5 67.969 (69.303)
Epoch: [30][3010/5005] Time 0.201 (0.224) Data 0.055 (0.074) Loss 2.3987 (2.5104) Prec@1 44.922 (43.681) Prec@5 67.578 (69.301)
Epoch: [30][3020/5005] Time 0.206 (0.224) Data 0.044 (0.074) Loss 2.3272 (2.5104) Prec@1 45.703 (43.683) Prec@5 72.266 (69.300)
Epoch: [30][3030/5005] Time 0.209 (0.223) Data 0.045 (0.074) Loss 2.5755 (2.5104) Prec@1 41.797 (43.681) Prec@5 70.703 (69.301)
Epoch: [30][3040/5005] Time 0.206 (0.223) Data 0.049 (0.074) Loss 2.4354 (2.5102) Prec@1 48.047 (43.686) Prec@5 69.922 (69.300)
Epoch: [30][3050/5005] Time 0.195 (0.223) Data 0.106 (0.074) Loss 2.5635 (2.5102) Prec@1 39.062 (43.685) Prec@5 69.141 (69.300)
Epoch: [30][3060/5005] Time 0.654 (0.224) Data 0.565 (0.074) Loss 2.3249 (2.5100) Prec@1 45.312 (43.685) Prec@5 74.219 (69.302)
Epoch: [30][3070/5005] Time 0.194 (0.223) Data 0.046 (0.074) Loss 2.4177 (2.5100) Prec@1 49.609 (43.687) Prec@5 71.094 (69.305)
Epoch: [30][3080/5005] Time 0.202 (0.223) Data 0.046 (0.074) Loss 2.3588 (2.5099) Prec@1 46.484 (43.685) Prec@5 71.484 (69.308)
Epoch: [30][3090/5005] Time 0.207 (0.223) Data 0.049 (0.074) Loss 2.6520 (2.5099) Prec@1 40.625 (43.685) Prec@5 64.453 (69.306)
Epoch: [30][3100/5005] Time 0.212 (0.224) Data 0.045 (0.074) Loss 2.5936 (2.5099) Prec@1 39.844 (43.685) Prec@5 66.797 (69.308)
Epoch: [30][3110/5005] Time 0.197 (0.223) Data 0.046 (0.074) Loss 2.2326 (2.5096) Prec@1 45.312 (43.691) Prec@5 74.609 (69.313)
Epoch: [30][3120/5005] Time 0.188 (0.223) Data 0.062 (0.074) Loss 2.5140 (2.5094) Prec@1 45.312 (43.696) Prec@5 67.188 (69.314)
Epoch: [30][3130/5005] Time 0.230 (0.223) Data 0.149 (0.074) Loss 2.5722 (2.5091) Prec@1 39.062 (43.702) Prec@5 66.797 (69.319)
Epoch: [30][3140/5005] Time 0.197 (0.223) Data 0.051 (0.074) Loss 2.2000 (2.5090) Prec@1 49.609 (43.705) Prec@5 73.047 (69.319)
Epoch: [30][3150/5005] Time 0.377 (0.224) Data 0.295 (0.074) Loss 2.4000 (2.5088) Prec@1 49.609 (43.712) Prec@5 69.141 (69.321)
Epoch: [30][3160/5005] Time 0.206 (0.223) Data 0.039 (0.074) Loss 2.3830 (2.5088) Prec@1 47.266 (43.717) Prec@5 72.656 (69.322)
Epoch: [30][3170/5005] Time 0.223 (0.224) Data 0.140 (0.074) Loss 2.5091 (2.5089) Prec@1 42.578 (43.716) Prec@5 69.922 (69.323)
Epoch: [30][3180/5005] Time 0.209 (0.223) Data 0.045 (0.074) Loss 2.3590 (2.5090) Prec@1 48.438 (43.714) Prec@5 68.750 (69.319)
Epoch: [30][3190/5005] Time 0.197 (0.223) Data 0.061 (0.074) Loss 2.4668 (2.5089) Prec@1 44.141 (43.713) Prec@5 70.703 (69.322)
Epoch: [30][3200/5005] Time 0.226 (0.223) Data 0.139 (0.074) Loss 2.6353 (2.5089) Prec@1 35.938 (43.714) Prec@5 68.750 (69.324)
Epoch: [30][3210/5005] Time 0.195 (0.224) Data 0.052 (0.075) Loss 2.5465 (2.5088) Prec@1 43.359 (43.718) Prec@5 66.016 (69.326)
Epoch: [30][3220/5005] Time 0.205 (0.223) Data 0.050 (0.075) Loss 2.6105 (2.5088) Prec@1 41.406 (43.718) Prec@5 70.312 (69.326)
Epoch: [30][3230/5005] Time 0.200 (0.224) Data 0.040 (0.075) Loss 2.4884 (2.5086) Prec@1 44.922 (43.721) Prec@5 65.234 (69.326)
Epoch: [30][3240/5005] Time 0.201 (0.224) Data 0.040 (0.075) Loss 2.6838 (2.5090) Prec@1 39.062 (43.714) Prec@5 66.016 (69.319)
Epoch: [30][3250/5005] Time 0.213 (0.224) Data 0.083 (0.075) Loss 2.4611 (2.5090) Prec@1 44.531 (43.712) Prec@5 69.141 (69.319)
Epoch: [30][3260/5005] Time 0.476 (0.224) Data 0.391 (0.075) Loss 2.3652 (2.5090) Prec@1 48.047 (43.710) Prec@5 73.438 (69.320)
Epoch: [30][3270/5005] Time 0.206 (0.224) Data 0.061 (0.075) Loss 2.6165 (2.5088) Prec@1 42.969 (43.715) Prec@5 68.359 (69.323)
Epoch: [30][3280/5005] Time 0.203 (0.224) Data 0.039 (0.075) Loss 2.4608 (2.5087) Prec@1 45.312 (43.718) Prec@5 71.875 (69.325)
Epoch: [30][3290/5005] Time 0.201 (0.224) Data 0.041 (0.075) Loss 2.5283 (2.5085) Prec@1 43.750 (43.720) Prec@5 69.531 (69.326)
Epoch: [30][3300/5005] Time 0.208 (0.224) Data 0.046 (0.075) Loss 2.4198 (2.5084) Prec@1 45.703 (43.720) Prec@5 69.141 (69.327)
Epoch: [30][3310/5005] Time 0.203 (0.224) Data 0.041 (0.075) Loss 2.3776 (2.5084) Prec@1 48.828 (43.723) Prec@5 69.922 (69.328)
Epoch: [30][3320/5005] Time 0.214 (0.224) Data 0.049 (0.075) Loss 2.5352 (2.5083) Prec@1 43.750 (43.719) Prec@5 68.750 (69.328)
Epoch: [30][3330/5005] Time 0.412 (0.224) Data 0.318 (0.075) Loss 2.5503 (2.5084) Prec@1 45.703 (43.719) Prec@5 67.188 (69.325)
Epoch: [30][3340/5005] Time 0.203 (0.224) Data 0.066 (0.075) Loss 2.5567 (2.5082) Prec@1 42.578 (43.720) Prec@5 69.141 (69.330)
Epoch: [30][3350/5005] Time 0.220 (0.224) Data 0.136 (0.075) Loss 2.5098 (2.5080) Prec@1 42.969 (43.721) Prec@5 67.969 (69.332)
Epoch: [30][3360/5005] Time 0.201 (0.224) Data 0.060 (0.075) Loss 2.3274 (2.5079) Prec@1 48.047 (43.725) Prec@5 74.219 (69.334)
Epoch: [30][3370/5005] Time 0.201 (0.224) Data 0.108 (0.075) Loss 2.5203 (2.5079) Prec@1 40.625 (43.725) Prec@5 70.703 (69.333)
Epoch: [30][3380/5005] Time 0.196 (0.224) Data 0.055 (0.075) Loss 2.4621 (2.5078) Prec@1 44.141 (43.724) Prec@5 71.875 (69.335)
Epoch: [30][3390/5005] Time 0.212 (0.224) Data 0.045 (0.075) Loss 2.3006 (2.5078) Prec@1 46.875 (43.722) Prec@5 73.828 (69.334)
Epoch: [30][3400/5005] Time 0.216 (0.224) Data 0.046 (0.075) Loss 2.3611 (2.5079) Prec@1 47.656 (43.722) Prec@5 72.266 (69.335)
Epoch: [30][3410/5005] Time 0.200 (0.224) Data 0.044 (0.075) Loss 2.4338 (2.5077) Prec@1 47.266 (43.725) Prec@5 69.922 (69.336)
Epoch: [30][3420/5005] Time 0.197 (0.224) Data 0.042 (0.075) Loss 2.4541 (2.5077) Prec@1 42.578 (43.724) Prec@5 70.312 (69.338)
Epoch: [30][3430/5005] Time 0.197 (0.224) Data 0.052 (0.075) Loss 2.4483 (2.5076) Prec@1 44.922 (43.727) Prec@5 71.484 (69.342)
Epoch: [30][3440/5005] Time 0.190 (0.224) Data 0.053 (0.075) Loss 2.5425 (2.5074) Prec@1 42.188 (43.730) Prec@5 66.016 (69.344)
Epoch: [30][3450/5005] Time 0.195 (0.224) Data 0.049 (0.075) Loss 2.3908 (2.5072) Prec@1 46.875 (43.733) Prec@5 69.141 (69.348)
Epoch: [30][3460/5005] Time 0.203 (0.224) Data 0.045 (0.075) Loss 2.4740 (2.5073) Prec@1 41.406 (43.733) Prec@5 70.312 (69.349)
Epoch: [30][3470/5005] Time 0.199 (0.224) Data 0.045 (0.075) Loss 2.3759 (2.5071) Prec@1 47.656 (43.736) Prec@5 70.703 (69.352)
Epoch: [30][3480/5005] Time 0.194 (0.224) Data 0.042 (0.075) Loss 2.6499 (2.5069) Prec@1 38.672 (43.737) Prec@5 65.234 (69.354)
Epoch: [30][3490/5005] Time 0.197 (0.224) Data 0.044 (0.075) Loss 2.6795 (2.5069) Prec@1 37.891 (43.732) Prec@5 66.797 (69.352)
Epoch: [30][3500/5005] Time 0.192 (0.224) Data 0.066 (0.075) Loss 2.3934 (2.5069) Prec@1 44.531 (43.731) Prec@5 73.438 (69.352)
Epoch: [30][3510/5005] Time 0.213 (0.224) Data 0.049 (0.075) Loss 2.3838 (2.5067) Prec@1 46.875 (43.732) Prec@5 67.969 (69.354)
Epoch: [30][3520/5005] Time 0.201 (0.224) Data 0.053 (0.075) Loss 2.7115 (2.5066) Prec@1 43.359 (43.736) Prec@5 65.625 (69.355)
Epoch: [30][3530/5005] Time 0.203 (0.224) Data 0.044 (0.075) Loss 2.5141 (2.5065) Prec@1 41.406 (43.738) Prec@5 71.094 (69.358)
Epoch: [30][3540/5005] Time 0.200 (0.224) Data 0.046 (0.075) Loss 2.3872 (2.5062) Prec@1 45.312 (43.744) Prec@5 70.703 (69.363)
Epoch: [30][3550/5005] Time 0.201 (0.224) Data 0.094 (0.075) Loss 2.4800 (2.5060) Prec@1 41.797 (43.744) Prec@5 69.141 (69.369)
Epoch: [30][3560/5005] Time 0.194 (0.224) Data 0.107 (0.075) Loss 2.6051 (2.5058) Prec@1 41.797 (43.744) Prec@5 64.453 (69.370)
Epoch: [30][3570/5005] Time 0.196 (0.224) Data 0.102 (0.075) Loss 2.6722 (2.5058) Prec@1 41.016 (43.746) Prec@5 68.750 (69.370)
Epoch: [30][3580/5005] Time 0.377 (0.224) Data 0.288 (0.075) Loss 2.4130 (2.5058) Prec@1 45.312 (43.746) Prec@5 72.656 (69.370)
Epoch: [30][3590/5005] Time 0.201 (0.224) Data 0.043 (0.075) Loss 2.5960 (2.5055) Prec@1 42.188 (43.752) Prec@5 68.359 (69.376)
Epoch: [30][3600/5005] Time 0.202 (0.224) Data 0.046 (0.075) Loss 2.5501 (2.5052) Prec@1 44.922 (43.757) Prec@5 69.922 (69.381)
Epoch: [30][3610/5005] Time 0.195 (0.224) Data 0.044 (0.075) Loss 2.4179 (2.5052) Prec@1 46.875 (43.757) Prec@5 68.750 (69.383)
Epoch: [30][3620/5005] Time 0.201 (0.224) Data 0.115 (0.075) Loss 2.6876 (2.5050) Prec@1 41.797 (43.761) Prec@5 65.625 (69.389)
Epoch: [30][3630/5005] Time 0.198 (0.224) Data 0.050 (0.076) Loss 2.7256 (2.5049) Prec@1 39.844 (43.763) Prec@5 65.234 (69.390)
Epoch: [30][3640/5005] Time 0.210 (0.224) Data 0.043 (0.075) Loss 2.4724 (2.5048) Prec@1 42.188 (43.765) Prec@5 68.750 (69.389)
Epoch: [30][3650/5005] Time 0.197 (0.224) Data 0.058 (0.075) Loss 2.3385 (2.5048) Prec@1 44.141 (43.760) Prec@5 71.484 (69.391)
Epoch: [30][3660/5005] Time 0.200 (0.224) Data 0.049 (0.075) Loss 2.7443 (2.5047) Prec@1 40.234 (43.763) Prec@5 66.797 (69.396)
Epoch: [30][3670/5005] Time 0.203 (0.224) Data 0.100 (0.076) Loss 2.5954 (2.5048) Prec@1 42.578 (43.759) Prec@5 64.062 (69.394)
Epoch: [30][3680/5005] Time 0.198 (0.224) Data 0.048 (0.076) Loss 2.3152 (2.5049) Prec@1 44.922 (43.755) Prec@5 71.484 (69.393)
Epoch: [30][3690/5005] Time 0.199 (0.224) Data 0.065 (0.076) Loss 2.3098 (2.5048) Prec@1 46.875 (43.759) Prec@5 71.875 (69.393)
Epoch: [30][3700/5005] Time 0.317 (0.224) Data 0.231 (0.076) Loss 2.4717 (2.5048) Prec@1 45.312 (43.760) Prec@5 69.141 (69.393)
Epoch: [30][3710/5005] Time 0.196 (0.224) Data 0.059 (0.076) Loss 2.3632 (2.5047) Prec@1 46.094 (43.761) Prec@5 72.266 (69.396)
Epoch: [30][3720/5005] Time 0.203 (0.224) Data 0.045 (0.076) Loss 2.6863 (2.5047) Prec@1 42.969 (43.761) Prec@5 65.234 (69.395)
Epoch: [30][3730/5005] Time 0.200 (0.224) Data 0.044 (0.076) Loss 2.3868 (2.5045) Prec@1 41.406 (43.764) Prec@5 75.000 (69.397)
Epoch: [30][3740/5005] Time 0.577 (0.224) Data 0.494 (0.076) Loss 2.4154 (2.5042) Prec@1 50.000 (43.770) Prec@5 71.484 (69.404)
Epoch: [30][3750/5005] Time 0.191 (0.224) Data 0.044 (0.076) Loss 2.3050 (2.5043) Prec@1 48.438 (43.769) Prec@5 74.219 (69.404)
Epoch: [30][3760/5005] Time 0.209 (0.224) Data 0.042 (0.076) Loss 2.5622 (2.5043) Prec@1 42.578 (43.766) Prec@5 66.406 (69.404)
Epoch: [30][3770/5005] Time 0.203 (0.224) Data 0.047 (0.076) Loss 2.5412 (2.5040) Prec@1 41.797 (43.772) Prec@5 69.531 (69.409)
Epoch: [30][3780/5005] Time 0.193 (0.224) Data 0.099 (0.076) Loss 2.4138 (2.5039) Prec@1 40.625 (43.770) Prec@5 69.922 (69.410)
Epoch: [30][3790/5005] Time 0.194 (0.224) Data 0.046 (0.076) Loss 2.5494 (2.5038) Prec@1 43.359 (43.772) Prec@5 69.141 (69.411)
Epoch: [30][3800/5005] Time 0.206 (0.224) Data 0.045 (0.076) Loss 2.3758 (2.5040) Prec@1 44.141 (43.768) Prec@5 73.438 (69.406)
Epoch: [30][3810/5005] Time 0.204 (0.224) Data 0.041 (0.076) Loss 2.3908 (2.5040) Prec@1 50.000 (43.769) Prec@5 71.094 (69.405)
Epoch: [30][3820/5005] Time 0.206 (0.224) Data 0.062 (0.076) Loss 2.3675 (2.5037) Prec@1 44.141 (43.774) Prec@5 71.094 (69.410)
Epoch: [30][3830/5005] Time 0.207 (0.224) Data 0.086 (0.076) Loss 2.4025 (2.5033) Prec@1 44.531 (43.778) Prec@5 70.312 (69.415)
Epoch: [30][3840/5005] Time 0.202 (0.224) Data 0.052 (0.076) Loss 2.5962 (2.5034) Prec@1 42.188 (43.778) Prec@5 66.016 (69.414)
Epoch: [30][3850/5005] Time 0.196 (0.224) Data 0.062 (0.076) Loss 2.5400 (2.5033) Prec@1 43.359 (43.778) Prec@5 67.578 (69.414)
Epoch: [30][3860/5005] Time 0.203 (0.224) Data 0.044 (0.076) Loss 2.2916 (2.5033) Prec@1 48.828 (43.782) Prec@5 72.266 (69.415)
Epoch: [30][3870/5005] Time 0.193 (0.224) Data 0.042 (0.076) Loss 2.4907 (2.5033) Prec@1 43.750 (43.779) Prec@5 70.312 (69.415)
Epoch: [30][3880/5005] Time 0.205 (0.224) Data 0.043 (0.076) Loss 2.3384 (2.5033) Prec@1 45.703 (43.778) Prec@5 72.656 (69.416)
Epoch: [30][3890/5005] Time 0.205 (0.224) Data 0.050 (0.076) Loss 2.7998 (2.5033) Prec@1 36.328 (43.777) Prec@5 66.406 (69.416)
Epoch: [30][3900/5005] Time 0.209 (0.224) Data 0.043 (0.076) Loss 2.6684 (2.5033) Prec@1 41.406 (43.779) Prec@5 68.359 (69.416)
Epoch: [30][3910/5005] Time 0.520 (0.224) Data 0.440 (0.076) Loss 2.5758 (2.5033) Prec@1 41.797 (43.778) Prec@5 68.750 (69.416)
Epoch: [30][3920/5005] Time 0.197 (0.224) Data 0.047 (0.076) Loss 2.4651 (2.5033) Prec@1 46.094 (43.778) Prec@5 67.578 (69.417)
Epoch: [30][3930/5005] Time 0.197 (0.224) Data 0.046 (0.076) Loss 2.4116 (2.5031) Prec@1 47.656 (43.782) Prec@5 68.750 (69.420)
Epoch: [30][3940/5005] Time 0.203 (0.224) Data 0.038 (0.076) Loss 2.4758 (2.5031) Prec@1 44.922 (43.783) Prec@5 68.750 (69.421)
Epoch: [30][3950/5005] Time 0.202 (0.224) Data 0.046 (0.076) Loss 2.3166 (2.5028) Prec@1 48.438 (43.790) Prec@5 71.484 (69.426)
Epoch: [30][3960/5005] Time 0.195 (0.224) Data 0.098 (0.076) Loss 2.5116 (2.5029) Prec@1 45.312 (43.790) Prec@5 71.094 (69.428)
Epoch: [30][3970/5005] Time 0.221 (0.224) Data 0.134 (0.076) Loss 2.3973 (2.5028) Prec@1 48.828 (43.790) Prec@5 70.312 (69.431)
Epoch: [30][3980/5005] Time 0.199 (0.224) Data 0.047 (0.076) Loss 2.2426 (2.5026) Prec@1 47.266 (43.793) Prec@5 73.047 (69.435)
Epoch: [30][3990/5005] Time 0.212 (0.224) Data 0.044 (0.076) Loss 2.5938 (2.5027) Prec@1 41.016 (43.791) Prec@5 69.922 (69.435)
Epoch: [30][4000/5005] Time 0.211 (0.224) Data 0.125 (0.076) Loss 2.4691 (2.5026) Prec@1 44.922 (43.791) Prec@5 67.578 (69.434)
Epoch: [30][4010/5005] Time 0.198 (0.224) Data 0.045 (0.076) Loss 2.5176 (2.5023) Prec@1 40.625 (43.795) Prec@5 67.969 (69.437)
Epoch: [30][4020/5005] Time 0.201 (0.224) Data 0.047 (0.076) Loss 2.6006 (2.5023) Prec@1 44.531 (43.797) Prec@5 66.797 (69.438)
Epoch: [30][4030/5005] Time 0.502 (0.224) Data 0.415 (0.076) Loss 2.7272 (2.5025) Prec@1 40.234 (43.795) Prec@5 68.359 (69.434)
Epoch: [30][4040/5005] Time 0.204 (0.224) Data 0.054 (0.076) Loss 2.4829 (2.5026) Prec@1 41.016 (43.792) Prec@5 68.359 (69.433)
Epoch: [30][4050/5005] Time 0.279 (0.224) Data 0.190 (0.076) Loss 2.7208 (2.5026) Prec@1 39.844 (43.790) Prec@5 64.062 (69.433)
Epoch: [30][4060/5005] Time 0.355 (0.224) Data 0.272 (0.076) Loss 2.5534 (2.5024) Prec@1 44.531 (43.792) Prec@5 64.844 (69.432)
Epoch: [30][4070/5005] Time 0.212 (0.224) Data 0.052 (0.076) Loss 2.6023 (2.5024) Prec@1 42.188 (43.790) Prec@5 66.797 (69.436)
Epoch: [30][4080/5005] Time 0.200 (0.224) Data 0.048 (0.076) Loss 2.4111 (2.5023) Prec@1 44.531 (43.791) Prec@5 71.875 (69.439)
Epoch: [30][4090/5005] Time 0.204 (0.224) Data 0.047 (0.076) Loss 2.5576 (2.5023) Prec@1 40.625 (43.790) Prec@5 67.578 (69.439)
Epoch: [30][4100/5005] Time 0.191 (0.224) Data 0.043 (0.076) Loss 2.5430 (2.5022) Prec@1 41.797 (43.790) Prec@5 65.625 (69.436)
Epoch: [30][4110/5005] Time 0.492 (0.224) Data 0.407 (0.076) Loss 2.6687 (2.5022) Prec@1 41.797 (43.788) Prec@5 64.062 (69.437)
Epoch: [30][4120/5005] Time 0.198 (0.224) Data 0.050 (0.076) Loss 2.5589 (2.5020) Prec@1 42.578 (43.792) Prec@5 67.969 (69.439)
Epoch: [30][4130/5005] Time 0.201 (0.224) Data 0.053 (0.076) Loss 2.5677 (2.5019) Prec@1 43.359 (43.795) Prec@5 69.141 (69.442)
Epoch: [30][4140/5005] Time 0.196 (0.224) Data 0.046 (0.076) Loss 2.5170 (2.5017) Prec@1 41.797 (43.798) Prec@5 67.188 (69.444)
Epoch: [30][4150/5005] Time 0.199 (0.224) Data 0.047 (0.076) Loss 2.6236 (2.5017) Prec@1 39.844 (43.798) Prec@5 73.828 (69.445)
Epoch: [30][4160/5005] Time 0.329 (0.224) Data 0.247 (0.076) Loss 2.4287 (2.5018) Prec@1 45.703 (43.799) Prec@5 71.094 (69.445)
Epoch: [30][4170/5005] Time 0.210 (0.224) Data 0.045 (0.076) Loss 2.4254 (2.5016) Prec@1 42.969 (43.805) Prec@5 69.531 (69.450)
Epoch: [30][4180/5005] Time 0.357 (0.224) Data 0.269 (0.076) Loss 2.3666 (2.5014) Prec@1 46.484 (43.808) Prec@5 70.312 (69.452)
Epoch: [30][4190/5005] Time 0.198 (0.224) Data 0.052 (0.076) Loss 2.3260 (2.5013) Prec@1 47.656 (43.811) Prec@5 72.266 (69.451)
Epoch: [30][4200/5005] Time 0.203 (0.224) Data 0.051 (0.076) Loss 2.3065 (2.5012) Prec@1 48.047 (43.812) Prec@5 72.656 (69.451)
Epoch: [30][4210/5005] Time 0.199 (0.224) Data 0.051 (0.077) Loss 2.2580 (2.5011) Prec@1 47.656 (43.814) Prec@5 75.781 (69.452)
Epoch: [30][4220/5005] Time 0.194 (0.224) Data 0.041 (0.077) Loss 2.7763 (2.5013) Prec@1 37.500 (43.812) Prec@5 67.578 (69.449)
Epoch: [30][4230/5005] Time 0.205 (0.224) Data 0.044 (0.077) Loss 2.5826 (2.5013) Prec@1 43.750 (43.811) Prec@5 69.531 (69.448)
Epoch: [30][4240/5005] Time 0.210 (0.224) Data 0.044 (0.077) Loss 2.3247 (2.5013) Prec@1 44.922 (43.809) Prec@5 73.438 (69.450)
Epoch: [30][4250/5005] Time 0.199 (0.224) Data 0.049 (0.077) Loss 2.3459 (2.5012) Prec@1 46.484 (43.812) Prec@5 71.875 (69.452)
Epoch: [30][4260/5005] Time 0.201 (0.224) Data 0.042 (0.077) Loss 2.3675 (2.5011) Prec@1 44.531 (43.812) Prec@5 69.531 (69.453)
Epoch: [30][4270/5005] Time 0.202 (0.224) Data 0.045 (0.077) Loss 2.5655 (2.5012) Prec@1 44.141 (43.810) Prec@5 68.359 (69.451)
Epoch: [30][4280/5005] Time 0.198 (0.224) Data 0.044 (0.077) Loss 2.4976 (2.5011) Prec@1 42.578 (43.814) Prec@5 70.703 (69.454)
Epoch: [30][4290/5005] Time 0.197 (0.224) Data 0.047 (0.077) Loss 2.6714 (2.5011) Prec@1 44.141 (43.813) Prec@5 64.844 (69.453)
Epoch: [30][4300/5005] Time 0.193 (0.224) Data 0.092 (0.077) Loss 2.2417 (2.5009) Prec@1 50.000 (43.818) Prec@5 76.172 (69.458)
Epoch: [30][4310/5005] Time 0.204 (0.224) Data 0.044 (0.077) Loss 2.4425 (2.5008) Prec@1 45.312 (43.819) Prec@5 70.312 (69.460)
Epoch: [30][4320/5005] Time 0.198 (0.224) Data 0.042 (0.077) Loss 2.3728 (2.5008) Prec@1 46.875 (43.820) Prec@5 71.094 (69.460)
Epoch: [30][4330/5005] Time 0.184 (0.224) Data 0.048 (0.077) Loss 2.3968 (2.5008) Prec@1 48.828 (43.821) Prec@5 69.141 (69.461)
Epoch: [30][4340/5005] Time 0.200 (0.224) Data 0.041 (0.077) Loss 2.4595 (2.5009) Prec@1 44.531 (43.820) Prec@5 66.016 (69.460)
Epoch: [30][4350/5005] Time 0.201 (0.224) Data 0.078 (0.077) Loss 2.4695 (2.5008) Prec@1 48.828 (43.822) Prec@5 70.312 (69.463)
Epoch: [30][4360/5005] Time 0.199 (0.224) Data 0.044 (0.077) Loss 2.3894 (2.5006) Prec@1 43.359 (43.825) Prec@5 71.875 (69.465)
Epoch: [30][4370/5005] Time 0.198 (0.224) Data 0.045 (0.077) Loss 2.4933 (2.5005) Prec@1 39.844 (43.826) Prec@5 69.922 (69.466)
Epoch: [30][4380/5005] Time 0.190 (0.224) Data 0.056 (0.077) Loss 2.4583 (2.5005) Prec@1 46.484 (43.828) Prec@5 72.266 (69.467)
Epoch: [30][4390/5005] Time 0.201 (0.224) Data 0.049 (0.077) Loss 2.4433 (2.5003) Prec@1 46.094 (43.835) Prec@5 69.141 (69.470)
Epoch: [30][4400/5005] Time 0.202 (0.224) Data 0.039 (0.077) Loss 2.3553 (2.5002) Prec@1 44.922 (43.838) Prec@5 70.312 (69.471)
Epoch: [30][4410/5005] Time 0.208 (0.224) Data 0.044 (0.077) Loss 2.3932 (2.5001) Prec@1 44.141 (43.840) Prec@5 70.312 (69.471)
Epoch: [30][4420/5005] Time 0.201 (0.224) Data 0.048 (0.077) Loss 2.2927 (2.5000) Prec@1 47.656 (43.840) Prec@5 71.094 (69.471)
Epoch: [30][4430/5005] Time 0.204 (0.224) Data 0.064 (0.077) Loss 2.5321 (2.4998) Prec@1 42.188 (43.844) Prec@5 64.453 (69.476)
Epoch: [30][4440/5005] Time 0.205 (0.224) Data 0.044 (0.077) Loss 2.6596 (2.4998) Prec@1 41.406 (43.843) Prec@5 68.359 (69.477)
Epoch: [30][4450/5005] Time 0.202 (0.224) Data 0.116 (0.077) Loss 2.3679 (2.4997) Prec@1 43.359 (43.843) Prec@5 73.047 (69.478)
Epoch: [30][4460/5005] Time 0.202 (0.224) Data 0.043 (0.077) Loss 2.5816 (2.4995) Prec@1 42.578 (43.844) Prec@5 66.406 (69.477)
Epoch: [30][4470/5005] Time 0.214 (0.224) Data 0.041 (0.077) Loss 2.3109 (2.4995) Prec@1 43.750 (43.844) Prec@5 71.875 (69.479)
Epoch: [30][4480/5005] Time 0.204 (0.224) Data 0.040 (0.077) Loss 2.2794 (2.4996) Prec@1 46.484 (43.844) Prec@5 71.094 (69.478)
Epoch: [30][4490/5005] Time 0.193 (0.224) Data 0.093 (0.077) Loss 2.4301 (2.4997) Prec@1 43.750 (43.843) Prec@5 71.484 (69.477)
Epoch: [30][4500/5005] Time 0.207 (0.224) Data 0.042 (0.077) Loss 2.5120 (2.4997) Prec@1 45.312 (43.843) Prec@5 71.875 (69.477)
Epoch: [30][4510/5005] Time 0.190 (0.224) Data 0.052 (0.077) Loss 2.2993 (2.4996) Prec@1 50.391 (43.842) Prec@5 71.875 (69.477)
Epoch: [30][4520/5005] Time 0.197 (0.224) Data 0.047 (0.077) Loss 2.5107 (2.4995) Prec@1 43.750 (43.843) Prec@5 70.312 (69.480)
Epoch: [30][4530/5005] Time 0.965 (0.224) Data 0.880 (0.077) Loss 2.4031 (2.4994) Prec@1 44.531 (43.843) Prec@5 71.094 (69.482)
Epoch: [30][4540/5005] Time 0.190 (0.224) Data 0.048 (0.077) Loss 2.6873 (2.4996) Prec@1 42.188 (43.842) Prec@5 66.406 (69.480)
Epoch: [30][4550/5005] Time 0.203 (0.224) Data 0.041 (0.077) Loss 2.4880 (2.4995) Prec@1 42.578 (43.844) Prec@5 71.094 (69.484)
Epoch: [30][4560/5005] Time 0.195 (0.224) Data 0.045 (0.077) Loss 2.3831 (2.4994) Prec@1 47.266 (43.847) Prec@5 69.922 (69.486)
Epoch: [30][4570/5005] Time 0.204 (0.224) Data 0.045 (0.077) Loss 2.5019 (2.4992) Prec@1 44.141 (43.850) Prec@5 67.578 (69.489)
Epoch: [30][4580/5005] Time 0.208 (0.224) Data 0.044 (0.077) Loss 2.5105 (2.4991) Prec@1 41.406 (43.853) Prec@5 68.750 (69.492)
Epoch: [30][4590/5005] Time 0.204 (0.224) Data 0.042 (0.077) Loss 2.2868 (2.4990) Prec@1 49.219 (43.854) Prec@5 74.219 (69.495)
Epoch: [30][4600/5005] Time 0.194 (0.224) Data 0.090 (0.077) Loss 2.2246 (2.4990) Prec@1 46.484 (43.854) Prec@5 74.219 (69.496)
Epoch: [30][4610/5005] Time 0.202 (0.224) Data 0.055 (0.077) Loss 2.2874 (2.4990) Prec@1 47.656 (43.855) Prec@5 71.875 (69.498)
Epoch: [30][4620/5005] Time 0.197 (0.224) Data 0.118 (0.077) Loss 2.3248 (2.4989) Prec@1 49.609 (43.857) Prec@5 72.656 (69.500)
Epoch: [30][4630/5005] Time 0.213 (0.224) Data 0.043 (0.077) Loss 2.3840 (2.4987) Prec@1 46.484 (43.860) Prec@5 71.094 (69.504)
Epoch: [30][4640/5005] Time 0.201 (0.224) Data 0.055 (0.077) Loss 2.5663 (2.4986) Prec@1 44.531 (43.863) Prec@5 66.016 (69.505)
Epoch: [30][4650/5005] Time 0.204 (0.224) Data 0.052 (0.077) Loss 2.4414 (2.4985) Prec@1 44.531 (43.867) Prec@5 69.531 (69.505)
Epoch: [30][4660/5005] Time 0.199 (0.224) Data 0.061 (0.077) Loss 2.7804 (2.4984) Prec@1 40.234 (43.870) Prec@5 62.891 (69.508)
Epoch: [30][4670/5005] Time 0.196 (0.224) Data 0.041 (0.077) Loss 2.4464 (2.4982) Prec@1 46.094 (43.873) Prec@5 70.312 (69.509)
Epoch: [30][4680/5005] Time 0.194 (0.224) Data 0.053 (0.077) Loss 2.4135 (2.4982) Prec@1 47.656 (43.873) Prec@5 70.703 (69.508)
Epoch: [30][4690/5005] Time 0.195 (0.224) Data 0.058 (0.077) Loss 2.5796 (2.4982) Prec@1 42.578 (43.872) Prec@5 68.359 (69.509)
Epoch: [30][4700/5005] Time 0.206 (0.224) Data 0.043 (0.077) Loss 2.4172 (2.4982) Prec@1 48.047 (43.874) Prec@5 71.875 (69.509)
Epoch: [30][4710/5005] Time 0.207 (0.224) Data 0.040 (0.077) Loss 2.3175 (2.4979) Prec@1 42.969 (43.879) Prec@5 74.219 (69.517)
Epoch: [30][4720/5005] Time 0.193 (0.224) Data 0.052 (0.077) Loss 2.3397 (2.4979) Prec@1 46.094 (43.880) Prec@5 75.000 (69.519)
Epoch: [30][4730/5005] Time 0.202 (0.224) Data 0.088 (0.077) Loss 2.4484 (2.4979) Prec@1 42.969 (43.879) Prec@5 70.703 (69.518)
Epoch: [30][4740/5005] Time 0.199 (0.224) Data 0.052 (0.077) Loss 2.4374 (2.4978) Prec@1 41.797 (43.883) Prec@5 73.047 (69.519)
Epoch: [30][4750/5005] Time 0.195 (0.224) Data 0.043 (0.077) Loss 2.4447 (2.4978) Prec@1 46.094 (43.883) Prec@5 69.922 (69.521)
Epoch: [30][4760/5005] Time 0.200 (0.224) Data 0.103 (0.077) Loss 2.7067 (2.4976) Prec@1 40.625 (43.885) Prec@5 68.750 (69.523)
Epoch: [30][4770/5005] Time 0.202 (0.224) Data 0.048 (0.077) Loss 2.4105 (2.4975) Prec@1 49.219 (43.886) Prec@5 70.312 (69.525)
Epoch: [30][4780/5005] Time 0.720 (0.224) Data 0.636 (0.077) Loss 2.4121 (2.4974) Prec@1 41.797 (43.891) Prec@5 73.438 (69.529)
Epoch: [30][4790/5005] Time 0.211 (0.224) Data 0.044 (0.077) Loss 2.5122 (2.4973) Prec@1 47.266 (43.895) Prec@5 70.703 (69.531)
Epoch: [30][4800/5005] Time 0.200 (0.224) Data 0.043 (0.077) Loss 2.5989 (2.4972) Prec@1 44.141 (43.896) Prec@5 67.578 (69.533)
Epoch: [30][4810/5005] Time 0.199 (0.224) Data 0.047 (0.077) Loss 2.6931 (2.4970) Prec@1 42.188 (43.897) Prec@5 63.672 (69.534)
Epoch: [30][4820/5005] Time 0.204 (0.224) Data 0.056 (0.077) Loss 2.6805 (2.4969) Prec@1 39.453 (43.898) Prec@5 63.672 (69.535)
Epoch: [30][4830/5005] Time 0.202 (0.224) Data 0.051 (0.077) Loss 2.3812 (2.4967) Prec@1 46.484 (43.904) Prec@5 70.312 (69.538)
Epoch: [30][4840/5005] Time 0.204 (0.224) Data 0.055 (0.077) Loss 2.2470 (2.4968) Prec@1 48.828 (43.903) Prec@5 75.000 (69.536)
Epoch: [30][4850/5005] Time 0.210 (0.224) Data 0.044 (0.077) Loss 2.5159 (2.4969) Prec@1 39.062 (43.903) Prec@5 69.531 (69.533)
Epoch: [30][4860/5005] Time 0.196 (0.224) Data 0.046 (0.077) Loss 2.3762 (2.4967) Prec@1 44.531 (43.907) Prec@5 72.266 (69.537)
Epoch: [30][4870/5005] Time 0.202 (0.224) Data 0.045 (0.077) Loss 2.3451 (2.4966) Prec@1 45.312 (43.909) Prec@5 72.656 (69.539)
Epoch: [30][4880/5005] Time 0.383 (0.224) Data 0.298 (0.077) Loss 2.2892 (2.4964) Prec@1 48.438 (43.912) Prec@5 71.094 (69.543)
Epoch: [30][4890/5005] Time 0.211 (0.224) Data 0.048 (0.077) Loss 2.5858 (2.4963) Prec@1 42.969 (43.911) Prec@5 67.578 (69.546)
Epoch: [30][4900/5005] Time 0.212 (0.224) Data 0.046 (0.077) Loss 2.3510 (2.4962) Prec@1 48.047 (43.914) Prec@5 72.656 (69.549)
Epoch: [30][4910/5005] Time 0.209 (0.224) Data 0.041 (0.077) Loss 2.5427 (2.4959) Prec@1 42.969 (43.918) Prec@5 73.047 (69.553)
Epoch: [30][4920/5005] Time 0.212 (0.224) Data 0.046 (0.077) Loss 2.3957 (2.4959) Prec@1 44.141 (43.920) Prec@5 72.266 (69.555)
Epoch: [30][4930/5005] Time 0.201 (0.224) Data 0.084 (0.077) Loss 2.7171 (2.4957) Prec@1 43.359 (43.924) Prec@5 65.625 (69.559)
Epoch: [30][4940/5005] Time 0.231 (0.224) Data 0.135 (0.077) Loss 2.5385 (2.4957) Prec@1 43.750 (43.926) Prec@5 68.750 (69.559)
Epoch: [30][4950/5005] Time 0.207 (0.224) Data 0.047 (0.077) Loss 2.3148 (2.4958) Prec@1 41.406 (43.925) Prec@5 71.484 (69.559)
Epoch: [30][4960/5005] Time 0.201 (0.224) Data 0.042 (0.077) Loss 2.5638 (2.4957) Prec@1 42.578 (43.927) Prec@5 68.750 (69.559)
Epoch: [30][4970/5005] Time 0.204 (0.224) Data 0.046 (0.077) Loss 2.4330 (2.4956) Prec@1 44.531 (43.930) Prec@5 72.656 (69.563)
Epoch: [30][4980/5005] Time 0.197 (0.224) Data 0.044 (0.077) Loss 2.5356 (2.4954) Prec@1 46.484 (43.932) Prec@5 69.141 (69.566)
Epoch: [30][4990/5005] Time 0.202 (0.224) Data 0.029 (0.077) Loss 2.5722 (2.4953) Prec@1 43.359 (43.936) Prec@5 66.797 (69.567)
Epoch: [30][5000/5005] Time 0.197 (0.224) Data 0.029 (0.077) Loss 2.4956 (2.4952) Prec@1 39.844 (43.937) Prec@5 69.531 (69.568)
Test: [0/196] Time 2.218 (2.218) Loss 2.4963 (2.4963) Prec@1 47.266 (47.266) Prec@5 67.578 (67.578)
Test: [10/196] Time 0.043 (0.371) Loss 2.5959 (2.6243) Prec@1 43.750 (42.436) Prec@5 67.969 (68.040)
Test: [20/196] Time 0.044 (0.287) Loss 2.5226 (2.6360) Prec@1 46.094 (42.225) Prec@5 71.484 (67.485)
Test: [30/196] Time 0.411 (0.269) Loss 2.5341 (2.6466) Prec@1 41.797 (41.898) Prec@5 67.969 (67.188)
Test: [40/196] Time 0.499 (0.270) Loss 2.4211 (2.6430) Prec@1 45.312 (42.045) Prec@5 73.047 (67.349)
Test: [50/196] Time 0.043 (0.260) Loss 2.6781 (2.6423) Prec@1 46.094 (42.226) Prec@5 70.312 (67.479)
Test: [60/196] Time 0.151 (0.250) Loss 2.5754 (2.6287) Prec@1 44.531 (42.501) Prec@5 67.188 (67.719)
Test: [70/196] Time 0.175 (0.243) Loss 2.5340 (2.6212) Prec@1 46.094 (42.534) Prec@5 69.922 (67.925)
Test: [80/196] Time 0.103 (0.241) Loss 2.4633 (2.6259) Prec@1 50.000 (42.679) Prec@5 74.609 (67.843)
Test: [90/196] Time 0.045 (0.244) Loss 2.6884 (2.6271) Prec@1 44.531 (42.681) Prec@5 66.797 (67.827)
Test: [100/196] Time 0.043 (0.239) Loss 2.7383 (2.6256) Prec@1 39.844 (42.822) Prec@5 66.016 (67.884)
Test: [110/196] Time 0.154 (0.236) Loss 2.8351 (2.6284) Prec@1 39.062 (42.765) Prec@5 63.672 (67.955)
Test: [120/196] Time 0.183 (0.234) Loss 2.4567 (2.6258) Prec@1 42.969 (42.762) Prec@5 69.922 (67.975)
Test: [130/196] Time 0.701 (0.239) Loss 2.3017 (2.6239) Prec@1 48.828 (42.838) Prec@5 71.875 (67.972)
Test: [140/196] Time 0.043 (0.236) Loss 2.4038 (2.6254) Prec@1 47.266 (42.769) Prec@5 69.141 (67.924)
Test: [150/196] Time 0.149 (0.232) Loss 2.2561 (2.6220) Prec@1 46.875 (42.782) Prec@5 75.781 (68.031)
Test: [160/196] Time 0.767 (0.235) Loss 2.5258 (2.6199) Prec@1 50.391 (42.874) Prec@5 69.922 (68.039)
Test: [170/196] Time 0.042 (0.233) Loss 2.5261 (2.6222) Prec@1 42.188 (42.825) Prec@5 72.266 (68.044)
Test: [180/196] Time 0.485 (0.233) Loss 2.8230 (2.6276) Prec@1 39.453 (42.768) Prec@5 64.453 (67.923)
Test: [190/196] Time 0.043 (0.231) Loss 2.8432 (2.6310) Prec@1 37.109 (42.732) Prec@5 64.062 (67.799)
* Prec@1 42.720 Prec@5 67.786
Learning rate: 0.0001
Epoch: [31][0/5005] Time 1.996 (1.996) Data 1.899 (1.899) Loss 2.5197 (2.5197) Prec@1 42.969 (42.969) Prec@5 69.141 (69.141)
Epoch: [31][10/5005] Time 0.203 (0.365) Data 0.043 (0.220) Loss 2.4201 (2.5200) Prec@1 49.219 (43.999) Prec@5 69.922 (68.999)
Epoch: [31][20/5005] Time 0.191 (0.286) Data 0.042 (0.138) Loss 2.6228 (2.5212) Prec@1 42.188 (43.471) Prec@5 69.141 (68.973)
Epoch: [31][30/5005] Time 0.194 (0.258) Data 0.061 (0.111) Loss 2.3578 (2.4963) Prec@1 46.484 (44.065) Prec@5 70.312 (69.544)
Epoch: [31][40/5005] Time 0.195 (0.243) Data 0.044 (0.095) Loss 2.4108 (2.5106) Prec@1 44.922 (43.674) Prec@5 70.703 (69.493)
Epoch: [31][50/5005] Time 0.197 (0.235) Data 0.045 (0.086) Loss 2.2672 (2.5057) Prec@1 46.094 (43.888) Prec@5 75.391 (69.485)
Epoch: [31][60/5005] Time 0.191 (0.229) Data 0.059 (0.081) Loss 2.4288 (2.5043) Prec@1 44.141 (43.756) Prec@5 71.094 (69.384)
Epoch: [31][70/5005] Time 0.205 (0.228) Data 0.047 (0.076) Loss 2.5600 (2.5166) Prec@1 39.453 (43.409) Prec@5 72.266 (69.218)
Epoch: [31][80/5005] Time 0.206 (0.224) Data 0.057 (0.073) Loss 2.4499 (2.5123) Prec@1 44.922 (43.499) Prec@5 69.531 (69.319)
Epoch: [31][90/5005] Time 0.197 (0.222) Data 0.043 (0.070) Loss 2.4993 (2.5119) Prec@1 46.875 (43.660) Prec@5 68.750 (69.351)
Epoch: [31][100/5005] Time 0.196 (0.226) Data 0.044 (0.068) Loss 2.3854 (2.5094) Prec@1 42.578 (43.673) Prec@5 72.266 (69.319)
Epoch: [31][110/5005] Time 0.203 (0.224) Data 0.041 (0.066) Loss 2.4997 (2.5121) Prec@1 44.922 (43.750) Prec@5 67.578 (69.236)
Epoch: [31][120/5005] Time 0.209 (0.222) Data 0.043 (0.064) Loss 2.4834 (2.5154) Prec@1 45.703 (43.798) Prec@5 71.875 (69.118)
Epoch: [31][130/5005] Time 0.206 (0.220) Data 0.042 (0.063) Loss 2.6335 (2.5123) Prec@1 42.188 (43.836) Prec@5 69.922 (69.176)
Epoch: [31][140/5005] Time 0.200 (0.219) Data 0.061 (0.063) Loss 2.6071 (2.5123) Prec@1 44.141 (43.731) Prec@5 69.141 (69.174)
Epoch: [31][150/5005] Time 0.193 (0.220) Data 0.046 (0.066) Loss 2.6170 (2.5118) Prec@1 43.750 (43.763) Prec@5 66.797 (69.205)
Epoch: [31][160/5005] Time 0.207 (0.223) Data 0.043 (0.069) Loss 2.4723 (2.5117) Prec@1 44.141 (43.799) Prec@5 67.188 (69.211)
Epoch: [31][170/5005] Time 0.196 (0.224) Data 0.048 (0.071) Loss 2.6244 (2.5132) Prec@1 43.750 (43.771) Prec@5 69.141 (69.225)
Epoch: [31][180/5005] Time 0.195 (0.225) Data 0.062 (0.072) Loss 2.7005 (2.5113) Prec@1 42.578 (43.780) Prec@5 63.281 (69.261)
Epoch: [31][190/5005] Time 0.218 (0.225) Data 0.052 (0.072) Loss 2.5498 (2.5142) Prec@1 42.188 (43.730) Prec@5 70.703 (69.214)
Epoch: [31][200/5005] Time 0.210 (0.225) Data 0.066 (0.073) Loss 2.6950 (2.5157) Prec@1 39.453 (43.672) Prec@5 67.188 (69.207)
Epoch: [31][210/5005] Time 0.283 (0.225) Data 0.191 (0.073) Loss 2.3983 (2.5150) Prec@1 46.094 (43.656) Prec@5 68.750 (69.181)
Epoch: [31][220/5005] Time 0.573 (0.227) Data 0.479 (0.076) Loss 2.5765 (2.5154) Prec@1 42.969 (43.647) Prec@5 70.312 (69.185)
Epoch: [31][230/5005] Time 0.212 (0.226) Data 0.046 (0.075) Loss 2.5698 (2.5161) Prec@1 41.797 (43.655) Prec@5 67.969 (69.213)
Epoch: [31][240/5005] Time 0.206 (0.226) Data 0.045 (0.075) Loss 2.4698 (2.5156) Prec@1 45.703 (43.646) Prec@5 70.312 (69.256)
Epoch: [31][250/5005] Time 0.211 (0.226) Data 0.123 (0.076) Loss 2.5207 (2.5147) Prec@1 42.969 (43.663) Prec@5 70.703 (69.273)
Epoch: [31][260/5005] Time 0.201 (0.227) Data 0.056 (0.077) Loss 2.2573 (2.5146) Prec@1 46.094 (43.686) Prec@5 71.875 (69.290)
Epoch: [31][270/5005] Time 0.207 (0.228) Data 0.040 (0.079) Loss 2.4219 (2.5135) Prec@1 43.359 (43.642) Prec@5 71.484 (69.314)
Epoch: [31][280/5005] Time 0.247 (0.229) Data 0.161 (0.080) Loss 2.9486 (2.5159) Prec@1 38.672 (43.621) Prec@5 62.891 (69.275)
Epoch: [31][290/5005] Time 0.206 (0.230) Data 0.043 (0.081) Loss 2.2874 (2.5188) Prec@1 45.312 (43.566) Prec@5 74.609 (69.241)
Epoch: [31][300/5005] Time 0.205 (0.231) Data 0.046 (0.080) Loss 2.3020 (2.5186) Prec@1 43.750 (43.597) Prec@5 72.266 (69.251)
Epoch: [31][310/5005] Time 0.207 (0.230) Data 0.041 (0.080) Loss 2.4095 (2.5168) Prec@1 42.969 (43.617) Prec@5 71.875 (69.301)
Epoch: [31][320/5005] Time 0.207 (0.230) Data 0.062 (0.079) Loss 2.7122 (2.5186) Prec@1 40.625 (43.606) Prec@5 64.062 (69.317)
Epoch: [31][330/5005] Time 0.205 (0.230) Data 0.049 (0.080) Loss 2.2567 (2.5166) Prec@1 44.531 (43.621) Prec@5 75.000 (69.328)
Epoch: [31][340/5005] Time 0.219 (0.230) Data 0.047 (0.081) Loss 2.6268 (2.5199) Prec@1 42.188 (43.558) Prec@5 67.578 (69.264)
Epoch: [31][350/5005] Time 0.191 (0.231) Data 0.065 (0.082) Loss 2.7380 (2.5189) Prec@1 42.188 (43.606) Prec@5 63.281 (69.262)
Epoch: [31][360/5005] Time 0.201 (0.231) Data 0.043 (0.081) Loss 2.7378 (2.5190) Prec@1 42.578 (43.615) Prec@5 64.844 (69.253)
Epoch: [31][370/5005] Time 0.213 (0.230) Data 0.039 (0.080) Loss 2.5845 (2.5166) Prec@1 41.016 (43.638) Prec@5 68.750 (69.295)
Epoch: [31][380/5005] Time 0.209 (0.230) Data 0.040 (0.079) Loss 2.6590 (2.5171) Prec@1 43.359 (43.624) Prec@5 63.281 (69.267)
Epoch: [31][390/5005] Time 0.211 (0.229) Data 0.058 (0.078) Loss 2.4492 (2.5163) Prec@1 45.312 (43.640) Prec@5 71.484 (69.280)
Epoch: [31][400/5005] Time 0.211 (0.229) Data 0.040 (0.077) Loss 2.4855 (2.5154) Prec@1 42.188 (43.665) Prec@5 69.922 (69.299)
Epoch: [31][410/5005] Time 0.222 (0.228) Data 0.044 (0.076) Loss 2.3714 (2.5157) Prec@1 46.484 (43.664) Prec@5 72.266 (69.299)
Epoch: [31][420/5005] Time 0.208 (0.228) Data 0.046 (0.076) Loss 2.5236 (2.5156) Prec@1 42.969 (43.678) Prec@5 71.484 (69.308)
Epoch: [31][430/5005] Time 0.204 (0.228) Data 0.050 (0.075) Loss 2.4827 (2.5155) Prec@1 42.578 (43.670) Prec@5 71.484 (69.308)
Epoch: [31][440/5005] Time 0.214 (0.227) Data 0.045 (0.074) Loss 2.4513 (2.5149) Prec@1 48.828 (43.665) Prec@5 69.531 (69.320)
Epoch: [31][450/5005] Time 0.216 (0.227) Data 0.053 (0.074) Loss 2.3877 (2.5163) Prec@1 45.703 (43.639) Prec@5 70.312 (69.288)
Epoch: [31][460/5005] Time 0.210 (0.227) Data 0.045 (0.073) Loss 2.5223 (2.5163) Prec@1 41.797 (43.609) Prec@5 67.578 (69.281)
Epoch: [31][470/5005] Time 0.205 (0.226) Data 0.048 (0.073) Loss 2.4273 (2.5173) Prec@1 44.141 (43.601) Prec@5 66.797 (69.249)
Epoch: [31][480/5005] Time 0.213 (0.226) Data 0.041 (0.072) Loss 2.5489 (2.5163) Prec@1 43.750 (43.635) Prec@5 67.969 (69.261)
Epoch: [31][490/5005] Time 0.209 (0.226) Data 0.041 (0.072) Loss 2.4267 (2.5161) Prec@1 47.266 (43.615) Prec@5 72.656 (69.276)
Epoch: [31][500/5005] Time 0.213 (0.225) Data 0.038 (0.071) Loss 2.7343 (2.5187) Prec@1 42.188 (43.593) Prec@5 65.234 (69.222)
Epoch: [31][510/5005] Time 0.214 (0.226) Data 0.040 (0.071) Loss 2.7135 (2.5188) Prec@1 40.234 (43.595) Prec@5 64.453 (69.212)
Epoch: [31][520/5005] Time 0.216 (0.225) Data 0.042 (0.071) Loss 2.5925 (2.5187) Prec@1 42.578 (43.598) Prec@5 67.578 (69.215)
Epoch: [31][530/5005] Time 0.207 (0.225) Data 0.045 (0.070) Loss 2.5484 (2.5190) Prec@1 43.359 (43.593) Prec@5 68.359 (69.194)
Epoch: [31][540/5005] Time 0.200 (0.225) Data 0.042 (0.070) Loss 2.7076 (2.5203) Prec@1 42.578 (43.594) Prec@5 66.406 (69.179)
Epoch: [31][550/5005] Time 0.200 (0.225) Data 0.042 (0.069) Loss 2.4879 (2.5200) Prec@1 43.750 (43.611) Prec@5 69.531 (69.174)
Epoch: [31][560/5005] Time 0.217 (0.224) Data 0.046 (0.069) Loss 2.5977 (2.5197) Prec@1 43.750 (43.625) Prec@5 69.922 (69.201)
Epoch: [31][570/5005] Time 0.211 (0.224) Data 0.045 (0.068) Loss 2.6085 (2.5203) Prec@1 44.141 (43.611) Prec@5 69.141 (69.183)
Epoch: [31][580/5005] Time 0.216 (0.224) Data 0.043 (0.068) Loss 2.6339 (2.5203) Prec@1 44.141 (43.620) Prec@5 67.188 (69.172)
Epoch: [31][590/5005] Time 0.205 (0.224) Data 0.048 (0.068) Loss 2.6878 (2.5199) Prec@1 42.188 (43.628) Prec@5 65.625 (69.171)
Epoch: [31][600/5005] Time 0.217 (0.224) Data 0.044 (0.067) Loss 2.4311 (2.5209) Prec@1 46.484 (43.610) Prec@5 70.703 (69.172)
Epoch: [31][610/5005] Time 0.211 (0.223) Data 0.042 (0.067) Loss 2.5378 (2.5210) Prec@1 46.484 (43.617) Prec@5 69.141 (69.163)
Epoch: [31][620/5005] Time 0.210 (0.223) Data 0.050 (0.066) Loss 2.6168 (2.5206) Prec@1 41.406 (43.637) Prec@5 67.578 (69.171)
Epoch: [31][630/5005] Time 0.203 (0.223) Data 0.044 (0.066) Loss 2.7054 (2.5207) Prec@1 42.188 (43.644) Prec@5 66.797 (69.172)
Epoch: [31][640/5005] Time 0.226 (0.223) Data 0.042 (0.066) Loss 2.4376 (2.5207) Prec@1 44.141 (43.632) Prec@5 68.750 (69.164)
Epoch: [31][650/5005] Time 0.205 (0.223) Data 0.045 (0.066) Loss 2.5324 (2.5211) Prec@1 42.969 (43.614) Prec@5 66.016 (69.140)
Epoch: [31][660/5005] Time 0.216 (0.222) Data 0.047 (0.065) Loss 2.6215 (2.5202) Prec@1 37.109 (43.620) Prec@5 69.531 (69.162)
Epoch: [31][670/5005] Time 0.225 (0.222) Data 0.039 (0.065) Loss 2.6935 (2.5202) Prec@1 42.969 (43.631) Prec@5 64.453 (69.157)
Epoch: [31][680/5005] Time 0.214 (0.222) Data 0.041 (0.065) Loss 2.4391 (2.5199) Prec@1 45.703 (43.629) Prec@5 71.094 (69.168)
Epoch: [31][690/5005] Time 0.209 (0.222) Data 0.046 (0.065) Loss 2.4241 (2.5189) Prec@1 43.750 (43.642) Prec@5 72.656 (69.187)
Epoch: [31][700/5005] Time 0.219 (0.222) Data 0.041 (0.064) Loss 2.6370 (2.5184) Prec@1 43.359 (43.662) Prec@5 65.234 (69.191)
Epoch: [31][710/5005] Time 0.203 (0.222) Data 0.046 (0.064) Loss 2.4311 (2.5183) Prec@1 41.797 (43.660) Prec@5 71.875 (69.193)
Epoch: [31][720/5005] Time 0.211 (0.221) Data 0.042 (0.064) Loss 2.3933 (2.5173) Prec@1 47.266 (43.668) Prec@5 71.094 (69.208)
Epoch: [31][730/5005] Time 0.220 (0.221) Data 0.045 (0.063) Loss 2.6790 (2.5179) Prec@1 42.188 (43.678) Prec@5 68.750 (69.199)
Epoch: [31][740/5005] Time 0.208 (0.221) Data 0.042 (0.063) Loss 2.6273 (2.5175) Prec@1 41.016 (43.683) Prec@5 64.844 (69.193)
Epoch: [31][750/5005] Time 0.222 (0.221) Data 0.043 (0.063) Loss 2.3775 (2.5171) Prec@1 48.438 (43.678) Prec@5 68.359 (69.191)
Epoch: [31][760/5005] Time 0.211 (0.221) Data 0.041 (0.063) Loss 2.5144 (2.5168) Prec@1 44.531 (43.662) Prec@5 69.141 (69.202)
Epoch: [31][770/5005] Time 0.207 (0.221) Data 0.040 (0.062) Loss 2.5258 (2.5160) Prec@1 41.797 (43.668) Prec@5 67.188 (69.208)
Epoch: [31][780/5005] Time 0.210 (0.221) Data 0.042 (0.062) Loss 2.6131 (2.5160) Prec@1 44.141 (43.664) Prec@5 66.797 (69.208)
Epoch: [31][790/5005] Time 0.209 (0.221) Data 0.044 (0.062) Loss 2.5808 (2.5154) Prec@1 40.625 (43.668) Prec@5 69.531 (69.225)
Epoch: [31][800/5005] Time 0.215 (0.220) Data 0.046 (0.062) Loss 2.3397 (2.5146) Prec@1 44.922 (43.687) Prec@5 71.094 (69.239)
Epoch: [31][810/5005] Time 0.215 (0.221) Data 0.043 (0.062) Loss 2.5245 (2.5146) Prec@1 46.094 (43.692) Prec@5 69.531 (69.236)
Epoch: [31][820/5005] Time 0.205 (0.221) Data 0.042 (0.062) Loss 2.6027 (2.5150) Prec@1 44.141 (43.691) Prec@5 67.578 (69.235)
Epoch: [31][830/5005] Time 0.217 (0.221) Data 0.041 (0.062) Loss 2.5132 (2.5152) Prec@1 44.531 (43.688) Prec@5 70.703 (69.229)
Epoch: [31][840/5005] Time 0.328 (0.220) Data 0.246 (0.062) Loss 2.3881 (2.5152) Prec@1 46.484 (43.696) Prec@5 68.359 (69.227)
Epoch: [31][850/5005] Time 0.210 (0.220) Data 0.047 (0.062) Loss 2.6599 (2.5147) Prec@1 41.406 (43.709) Prec@5 67.578 (69.232)
Epoch: [31][860/5005] Time 0.201 (0.220) Data 0.054 (0.062) Loss 2.4432 (2.5149) Prec@1 42.188 (43.692) Prec@5 70.703 (69.232)
Epoch: [31][870/5005] Time 0.202 (0.220) Data 0.048 (0.062) Loss 2.5974 (2.5143) Prec@1 38.672 (43.701) Prec@5 67.578 (69.242)
Epoch: [31][880/5005] Time 0.386 (0.220) Data 0.293 (0.063) Loss 2.3554 (2.5146) Prec@1 46.875 (43.690) Prec@5 73.047 (69.236)
Epoch: [31][890/5005] Time 0.199 (0.221) Data 0.048 (0.063) Loss 2.7879 (2.5145) Prec@1 39.062 (43.679) Prec@5 63.672 (69.228)
Epoch: [31][900/5005] Time 0.208 (0.221) Data 0.046 (0.063) Loss 2.5737 (2.5144) Prec@1 44.531 (43.683) Prec@5 67.969 (69.227)
Epoch: [31][910/5005] Time 0.201 (0.221) Data 0.048 (0.064) Loss 2.5381 (2.5148) Prec@1 42.969 (43.665) Prec@5 70.312 (69.224)
Epoch: [31][920/5005] Time 0.203 (0.221) Data 0.045 (0.064) Loss 2.4121 (2.5140) Prec@1 46.484 (43.677) Prec@5 71.094 (69.241)
Epoch: [31][930/5005] Time 0.204 (0.222) Data 0.059 (0.065) Loss 2.4753 (2.5134) Prec@1 44.141 (43.695) Prec@5 68.359 (69.252)
Epoch: [31][940/5005] Time 0.210 (0.222) Data 0.047 (0.065) Loss 2.3351 (2.5133) Prec@1 44.141 (43.695) Prec@5 76.172 (69.262)
Epoch: [31][950/5005] Time 0.199 (0.222) Data 0.044 (0.065) Loss 2.6461 (2.5138) Prec@1 42.188 (43.702) Prec@5 69.141 (69.248)
Epoch: [31][960/5005] Time 0.193 (0.222) Data 0.048 (0.066) Loss 2.8076 (2.5142) Prec@1 39.453 (43.695) Prec@5 65.234 (69.239)
Epoch: [31][970/5005] Time 0.627 (0.223) Data 0.544 (0.066) Loss 2.3571 (2.5139) Prec@1 47.656 (43.690) Prec@5 70.703 (69.242)
Epoch: [31][980/5005] Time 0.208 (0.223) Data 0.096 (0.066) Loss 2.3910 (2.5132) Prec@1 42.969 (43.695) Prec@5 70.312 (69.253)
Epoch: [31][990/5005] Time 0.213 (0.223) Data 0.046 (0.066) Loss 2.5853 (2.5141) Prec@1 39.453 (43.670) Prec@5 71.875 (69.236)
Epoch: [31][1000/5005] Time 0.212 (0.222) Data 0.042 (0.066) Loss 2.4269 (2.5137) Prec@1 44.922 (43.682) Prec@5 70.312 (69.242)
Epoch: [31][1010/5005] Time 0.204 (0.222) Data 0.042 (0.066) Loss 2.5266 (2.5134) Prec@1 42.188 (43.689) Prec@5 67.969 (69.245)
Epoch: [31][1020/5005] Time 0.200 (0.222) Data 0.060 (0.066) Loss 2.3007 (2.5140) Prec@1 47.656 (43.680) Prec@5 74.609 (69.234)
Epoch: [31][1030/5005] Time 0.210 (0.222) Data 0.047 (0.065) Loss 2.4945 (2.5132) Prec@1 44.531 (43.697) Prec@5 69.141 (69.246)
Epoch: [31][1040/5005] Time 0.211 (0.222) Data 0.044 (0.065) Loss 2.5812 (2.5131) Prec@1 39.062 (43.689) Prec@5 68.359 (69.241)
Epoch: [31][1050/5005] Time 0.211 (0.222) Data 0.041 (0.065) Loss 2.5757 (2.5136) Prec@1 41.406 (43.666) Prec@5 67.578 (69.230)
Epoch: [31][1060/5005] Time 0.212 (0.222) Data 0.041 (0.065) Loss 2.7437 (2.5139) Prec@1 41.016 (43.670) Prec@5 66.016 (69.231)
Epoch: [31][1070/5005] Time 0.216 (0.222) Data 0.042 (0.065) Loss 2.4686 (2.5137) Prec@1 44.531 (43.679) Prec@5 69.922 (69.232)
Epoch: [31][1080/5005] Time 0.207 (0.222) Data 0.044 (0.064) Loss 2.5258 (2.5136) Prec@1 38.672 (43.674) Prec@5 70.703 (69.234)
Epoch: [31][1090/5005] Time 0.205 (0.221) Data 0.050 (0.064) Loss 2.3953 (2.5134) Prec@1 44.531 (43.682) Prec@5 71.875 (69.234)
Epoch: [31][1100/5005] Time 0.216 (0.221) Data 0.047 (0.064) Loss 2.5171 (2.5130) Prec@1 44.141 (43.692) Prec@5 68.359 (69.233)
Epoch: [31][1110/5005] Time 0.202 (0.221) Data 0.061 (0.064) Loss 2.5622 (2.5127) Prec@1 41.406 (43.698) Prec@5 67.578 (69.238)
Epoch: [31][1120/5005] Time 0.207 (0.221) Data 0.047 (0.064) Loss 2.3588 (2.5118) Prec@1 44.531 (43.706) Prec@5 69.922 (69.248)
Epoch: [31][1130/5005] Time 0.220 (0.221) Data 0.041 (0.064) Loss 2.6276 (2.5121) Prec@1 43.750 (43.696) Prec@5 66.406 (69.250)
Epoch: [31][1140/5005] Time 0.216 (0.221) Data 0.044 (0.064) Loss 2.4896 (2.5118) Prec@1 43.750 (43.701) Prec@5 67.578 (69.261)
Epoch: [31][1150/5005] Time 0.215 (0.221) Data 0.041 (0.063) Loss 2.4999 (2.5111) Prec@1 36.328 (43.709) Prec@5 71.094 (69.279)
Epoch: [31][1160/5005] Time 0.206 (0.221) Data 0.040 (0.063) Loss 2.5417 (2.5108) Prec@1 43.359 (43.717) Prec@5 70.312 (69.278)
Epoch: [31][1170/5005] Time 0.204 (0.221) Data 0.043 (0.063) Loss 2.3475 (2.5106) Prec@1 47.656 (43.719) Prec@5 73.047 (69.284)
Epoch: [31][1180/5005] Time 0.208 (0.221) Data 0.059 (0.063) Loss 2.5340 (2.5107) Prec@1 41.797 (43.718) Prec@5 68.359 (69.284)
Epoch: [31][1190/5005] Time 0.203 (0.220) Data 0.045 (0.063) Loss 2.2946 (2.5104) Prec@1 47.266 (43.726) Prec@5 73.047 (69.291)
Epoch: [31][1200/5005] Time 0.198 (0.220) Data 0.048 (0.063) Loss 2.6374 (2.5103) Prec@1 41.016 (43.722) Prec@5 67.188 (69.297)
Epoch: [31][1210/5005] Time 0.212 (0.220) Data 0.047 (0.063) Loss 2.4971 (2.5107) Prec@1 42.969 (43.716) Prec@5 71.484 (69.297)
Epoch: [31][1220/5005] Time 0.207 (0.220) Data 0.045 (0.063) Loss 2.3762 (2.5107) Prec@1 43.750 (43.722) Prec@5 71.094 (69.302)
Epoch: [31][1230/5005] Time 0.198 (0.221) Data 0.049 (0.064) Loss 2.5826 (2.5108) Prec@1 43.750 (43.705) Prec@5 68.359 (69.303)
Epoch: [31][1240/5005] Time 0.200 (0.221) Data 0.045 (0.064) Loss 2.5244 (2.5111) Prec@1 44.531 (43.703) Prec@5 68.750 (69.295)
Epoch: [31][1250/5005] Time 0.211 (0.221) Data 0.040 (0.064) Loss 2.7367 (2.5114) Prec@1 39.453 (43.695) Prec@5 64.453 (69.287)
Epoch: [31][1260/5005] Time 0.203 (0.221) Data 0.043 (0.064) Loss 2.2956 (2.5109) Prec@1 44.922 (43.699) Prec@5 71.875 (69.294)
Epoch: [31][1270/5005] Time 0.609 (0.221) Data 0.521 (0.064) Loss 2.7267 (2.5117) Prec@1 40.234 (43.687) Prec@5 65.234 (69.275)
Epoch: [31][1280/5005] Time 0.281 (0.221) Data 0.193 (0.064) Loss 2.5614 (2.5118) Prec@1 42.578 (43.686) Prec@5 68.750 (69.281)
Epoch: [31][1290/5005] Time 0.208 (0.221) Data 0.056 (0.064) Loss 2.2891 (2.5116) Prec@1 50.391 (43.696) Prec@5 72.656 (69.280)
Epoch: [31][1300/5005] Time 0.204 (0.221) Data 0.039 (0.064) Loss 2.4272 (2.5115) Prec@1 46.094 (43.693) Prec@5 72.266 (69.281)
Epoch: [31][1310/5005] Time 0.227 (0.221) Data 0.141 (0.065) Loss 2.4641 (2.5114) Prec@1 45.703 (43.707) Prec@5 70.312 (69.287)
Epoch: [31][1320/5005] Time 0.206 (0.221) Data 0.051 (0.065) Loss 2.5909 (2.5111) Prec@1 40.625 (43.711) Prec@5 69.531 (69.300)
Epoch: [31][1330/5005] Time 0.206 (0.221) Data 0.049 (0.065) Loss 2.6655 (2.5115) Prec@1 41.797 (43.711) Prec@5 66.406 (69.291)
Epoch: [31][1340/5005] Time 0.206 (0.221) Data 0.041 (0.065) Loss 2.4242 (2.5114) Prec@1 44.141 (43.715) Prec@5 69.531 (69.292)
Epoch: [31][1350/5005] Time 0.205 (0.221) Data 0.058 (0.065) Loss 2.8002 (2.5116) Prec@1 44.922 (43.712) Prec@5 68.750 (69.291)
Epoch: [31][1360/5005] Time 0.205 (0.221) Data 0.086 (0.065) Loss 2.4570 (2.5115) Prec@1 42.578 (43.713) Prec@5 71.094 (69.294)
Epoch: [31][1370/5005] Time 0.191 (0.221) Data 0.092 (0.065) Loss 2.4948 (2.5110) Prec@1 47.656 (43.717) Prec@5 70.703 (69.304)
Epoch: [31][1380/5005] Time 0.210 (0.221) Data 0.054 (0.065) Loss 2.5814 (2.5110) Prec@1 44.531 (43.717) Prec@5 70.312 (69.308)
Epoch: [31][1390/5005] Time 0.208 (0.221) Data 0.051 (0.065) Loss 2.3808 (2.5108) Prec@1 46.094 (43.724) Prec@5 73.438 (69.305)
Epoch: [31][1400/5005] Time 0.218 (0.221) Data 0.138 (0.065) Loss 2.4214 (2.5100) Prec@1 45.312 (43.738) Prec@5 72.656 (69.320)
Epoch: [31][1410/5005] Time 0.194 (0.221) Data 0.103 (0.066) Loss 2.4851 (2.5099) Prec@1 44.141 (43.749) Prec@5 70.312 (69.326)
Epoch: [31][1420/5005] Time 0.197 (0.221) Data 0.054 (0.066) Loss 2.6916 (2.5097) Prec@1 42.188 (43.749) Prec@5 66.016 (69.335)
Epoch: [31][1430/5005] Time 0.203 (0.221) Data 0.048 (0.066) Loss 2.1317 (2.5091) Prec@1 47.266 (43.754) Prec@5 75.000 (69.345)
Epoch: [31][1440/5005] Time 0.207 (0.221) Data 0.054 (0.067) Loss 2.3543 (2.5091) Prec@1 46.094 (43.750) Prec@5 73.828 (69.350)
Epoch: [31][1450/5005] Time 0.201 (0.221) Data 0.053 (0.067) Loss 2.5011 (2.5091) Prec@1 46.094 (43.756) Prec@5 68.359 (69.350)
Epoch: [31][1460/5005] Time 0.204 (0.221) Data 0.048 (0.066) Loss 2.6087 (2.5092) Prec@1 41.016 (43.752) Prec@5 67.969 (69.348)
Epoch: [31][1470/5005] Time 0.212 (0.221) Data 0.040 (0.066) Loss 2.5999 (2.5094) Prec@1 42.578 (43.752) Prec@5 66.016 (69.339)
Epoch: [31][1480/5005] Time 0.199 (0.221) Data 0.047 (0.067) Loss 2.3778 (2.5096) Prec@1 43.750 (43.744) Prec@5 74.609 (69.336)
Epoch: [31][1490/5005] Time 0.206 (0.221) Data 0.053 (0.067) Loss 2.6715 (2.5097) Prec@1 37.109 (43.740) Prec@5 67.188 (69.343)
Epoch: [31][1500/5005] Time 0.335 (0.221) Data 0.246 (0.067) Loss 2.6505 (2.5097) Prec@1 42.188 (43.741) Prec@5 64.453 (69.347)
Epoch: [31][1510/5005] Time 0.204 (0.221) Data 0.101 (0.067) Loss 2.3254 (2.5092) Prec@1 45.703 (43.749) Prec@5 71.484 (69.359)
Epoch: [31][1520/5005] Time 0.203 (0.221) Data 0.046 (0.067) Loss 2.4760 (2.5092) Prec@1 44.531 (43.752) Prec@5 71.484 (69.357)
Epoch: [31][1530/5005] Time 0.202 (0.221) Data 0.050 (0.067) Loss 2.7342 (2.5094) Prec@1 40.625 (43.750) Prec@5 64.453 (69.352)
Epoch: [31][1540/5005] Time 0.190 (0.221) Data 0.092 (0.067) Loss 2.6240 (2.5098) Prec@1 44.531 (43.741) Prec@5 66.406 (69.342)
Epoch: [31][1550/5005] Time 0.489 (0.221) Data 0.400 (0.067) Loss 2.4862 (2.5097) Prec@1 44.531 (43.748) Prec@5 71.484 (69.347)
Epoch: [31][1560/5005] Time 0.199 (0.221) Data 0.061 (0.067) Loss 2.3183 (2.5097) Prec@1 45.312 (43.741) Prec@5 71.484 (69.350)
Epoch: [31][1570/5005] Time 0.523 (0.222) Data 0.443 (0.068) Loss 2.4472 (2.5092) Prec@1 42.969 (43.752) Prec@5 73.438 (69.358)
Epoch: [31][1580/5005] Time 0.209 (0.222) Data 0.052 (0.068) Loss 2.3702 (2.5092) Prec@1 41.016 (43.746) Prec@5 71.484 (69.356)
Epoch: [31][1590/5005] Time 0.192 (0.222) Data 0.045 (0.068) Loss 2.3912 (2.5089) Prec@1 47.656 (43.750) Prec@5 70.703 (69.358)
Epoch: [31][1600/5005] Time 0.204 (0.222) Data 0.039 (0.069) Loss 2.4624 (2.5088) Prec@1 45.312 (43.757) Prec@5 70.312 (69.359)
Epoch: [31][1610/5005] Time 0.204 (0.222) Data 0.051 (0.069) Loss 2.7261 (2.5088) Prec@1 39.062 (43.753) Prec@5 68.750 (69.359)
Epoch: [31][1620/5005] Time 0.195 (0.222) Data 0.055 (0.069) Loss 2.5870 (2.5086) Prec@1 39.453 (43.753) Prec@5 68.750 (69.366)
Epoch: [31][1630/5005] Time 0.208 (0.222) Data 0.080 (0.069) Loss 2.3975 (2.5086) Prec@1 46.094 (43.754) Prec@5 71.484 (69.366)
Epoch: [31][1640/5005] Time 0.204 (0.222) Data 0.051 (0.069) Loss 2.5889 (2.5089) Prec@1 44.141 (43.751) Prec@5 66.797 (69.363)
Epoch: [31][1650/5005] Time 0.205 (0.222) Data 0.063 (0.068) Loss 2.5118 (2.5088) Prec@1 42.578 (43.756) Prec@5 68.359 (69.361)
Epoch: [31][1660/5005] Time 0.202 (0.222) Data 0.058 (0.068) Loss 2.4214 (2.5082) Prec@1 46.875 (43.768) Prec@5 71.094 (69.365)
Epoch: [31][1670/5005] Time 0.205 (0.222) Data 0.048 (0.068) Loss 2.3200 (2.5080) Prec@1 48.438 (43.776) Prec@5 70.703 (69.375)
Epoch: [31][1680/5005] Time 0.210 (0.221) Data 0.040 (0.068) Loss 2.6072 (2.5082) Prec@1 42.578 (43.771) Prec@5 68.359 (69.372)
Epoch: [31][1690/5005] Time 0.354 (0.222) Data 0.272 (0.068) Loss 2.3953 (2.5079) Prec@1 44.141 (43.770) Prec@5 73.047 (69.380)
Epoch: [31][1700/5005] Time 0.204 (0.222) Data 0.044 (0.069) Loss 2.5382 (2.5073) Prec@1 44.141 (43.778) Prec@5 71.484 (69.394)
Epoch: [31][1710/5005] Time 0.353 (0.222) Data 0.257 (0.069) Loss 2.3998 (2.5068) Prec@1 44.922 (43.779) Prec@5 70.703 (69.403)
Epoch: [31][1720/5005] Time 0.217 (0.222) Data 0.134 (0.069) Loss 2.7595 (2.5067) Prec@1 38.672 (43.778) Prec@5 64.844 (69.400)
Epoch: [31][1730/5005] Time 0.203 (0.222) Data 0.052 (0.069) Loss 2.5356 (2.5067) Prec@1 39.062 (43.774) Prec@5 67.578 (69.404)
Epoch: [31][1740/5005] Time 0.207 (0.222) Data 0.046 (0.069) Loss 2.7637 (2.5066) Prec@1 38.672 (43.776) Prec@5 65.234 (69.404)
Epoch: [31][1750/5005] Time 0.210 (0.222) Data 0.040 (0.069) Loss 2.3541 (2.5063) Prec@1 45.703 (43.781) Prec@5 70.703 (69.411)
Epoch: [31][1760/5005] Time 0.229 (0.222) Data 0.147 (0.069) Loss 2.2443 (2.5063) Prec@1 48.047 (43.782) Prec@5 76.953 (69.419)
Epoch: [31][1770/5005] Time 0.198 (0.222) Data 0.096 (0.069) Loss 2.4474 (2.5060) Prec@1 44.922 (43.781) Prec@5 71.875 (69.425)
Epoch: [31][1780/5005] Time 0.200 (0.222) Data 0.045 (0.069) Loss 2.3993 (2.5056) Prec@1 46.484 (43.785) Prec@5 72.266 (69.433)
Epoch: [31][1790/5005] Time 0.215 (0.222) Data 0.045 (0.069) Loss 2.2680 (2.5051) Prec@1 47.266 (43.790) Prec@5 73.828 (69.441)
Epoch: [31][1800/5005] Time 0.206 (0.222) Data 0.051 (0.069) Loss 2.3243 (2.5048) Prec@1 46.875 (43.795) Prec@5 69.531 (69.440)
Epoch: [31][1810/5005] Time 0.201 (0.222) Data 0.049 (0.069) Loss 2.4632 (2.5050) Prec@1 44.922 (43.787) Prec@5 70.312 (69.436)
Epoch: [31][1820/5005] Time 0.204 (0.222) Data 0.076 (0.070) Loss 2.4802 (2.5048) Prec@1 43.750 (43.789) Prec@5 71.094 (69.438)
Epoch: [31][1830/5005] Time 0.200 (0.222) Data 0.046 (0.070) Loss 2.2198 (2.5042) Prec@1 45.312 (43.795) Prec@5 73.438 (69.444)
Epoch: [31][1840/5005] Time 0.216 (0.222) Data 0.042 (0.070) Loss 2.5625 (2.5040) Prec@1 42.188 (43.798) Prec@5 66.797 (69.446)
Epoch: [31][1850/5005] Time 0.213 (0.222) Data 0.043 (0.070) Loss 2.4061 (2.5037) Prec@1 47.656 (43.805) Prec@5 70.703 (69.452)
Epoch: [31][1860/5005] Time 0.211 (0.222) Data 0.047 (0.070) Loss 2.4181 (2.5039) Prec@1 45.703 (43.798) Prec@5 71.875 (69.449)
Epoch: [31][1870/5005] Time 0.202 (0.222) Data 0.045 (0.070) Loss 2.6084 (2.5042) Prec@1 42.969 (43.797) Prec@5 67.188 (69.443)
Epoch: [31][1880/5005] Time 0.215 (0.222) Data 0.042 (0.070) Loss 2.5328 (2.5043) Prec@1 44.531 (43.802) Prec@5 68.750 (69.442)
Epoch: [31][1890/5005] Time 0.206 (0.222) Data 0.051 (0.070) Loss 2.5038 (2.5042) Prec@1 45.312 (43.803) Prec@5 68.750 (69.441)
Epoch: [31][1900/5005] Time 0.205 (0.222) Data 0.052 (0.070) Loss 2.4984 (2.5045) Prec@1 43.359 (43.802) Prec@5 73.438 (69.438)
Epoch: [31][1910/5005] Time 0.208 (0.222) Data 0.041 (0.070) Loss 2.5195 (2.5045) Prec@1 39.844 (43.799) Prec@5 70.703 (69.435)
Epoch: [31][1920/5005] Time 0.234 (0.222) Data 0.143 (0.070) Loss 2.3925 (2.5042) Prec@1 41.797 (43.800) Prec@5 73.047 (69.439)
Epoch: [31][1930/5005] Time 0.292 (0.222) Data 0.206 (0.070) Loss 2.4832 (2.5040) Prec@1 48.438 (43.801) Prec@5 69.141 (69.444)
Epoch: [31][1940/5005] Time 0.208 (0.222) Data 0.052 (0.070) Loss 2.1852 (2.5036) Prec@1 48.047 (43.802) Prec@5 74.609 (69.455)
Epoch: [31][1950/5005] Time 0.207 (0.222) Data 0.058 (0.070) Loss 2.6753 (2.5037) Prec@1 39.062 (43.794) Prec@5 66.797 (69.458)
Epoch: [31][1960/5005] Time 0.206 (0.222) Data 0.098 (0.070) Loss 2.4380 (2.5035) Prec@1 44.531 (43.798) Prec@5 69.531 (69.459)
Epoch: [31][1970/5005] Time 0.208 (0.222) Data 0.050 (0.070) Loss 2.5079 (2.5036) Prec@1 42.969 (43.793) Prec@5 67.969 (69.454)
Epoch: [31][1980/5005] Time 0.207 (0.222) Data 0.043 (0.070) Loss 2.2154 (2.5036) Prec@1 51.562 (43.797) Prec@5 73.438 (69.459)
Epoch: [31][1990/5005] Time 0.213 (0.222) Data 0.079 (0.070) Loss 2.2560 (2.5032) Prec@1 48.438 (43.807) Prec@5 73.438 (69.466)
Epoch: [31][2000/5005] Time 0.207 (0.222) Data 0.060 (0.070) Loss 2.4532 (2.5034) Prec@1 45.703 (43.800) Prec@5 70.312 (69.461)
Epoch: [31][2010/5005] Time 0.207 (0.222) Data 0.040 (0.071) Loss 2.3100 (2.5035) Prec@1 45.312 (43.798) Prec@5 73.438 (69.460)
Epoch: [31][2020/5005] Time 0.196 (0.222) Data 0.047 (0.070) Loss 2.5634 (2.5034) Prec@1 42.969 (43.801) Prec@5 68.359 (69.458)
Epoch: [31][2030/5005] Time 0.192 (0.222) Data 0.052 (0.071) Loss 2.4099 (2.5036) Prec@1 41.797 (43.798) Prec@5 73.047 (69.457)
Epoch: [31][2040/5005] Time 0.198 (0.222) Data 0.053 (0.071) Loss 2.2552 (2.5034) Prec@1 46.484 (43.801) Prec@5 72.656 (69.459)
Epoch: [31][2050/5005] Time 0.564 (0.222) Data 0.479 (0.071) Loss 2.6279 (2.5033) Prec@1 42.188 (43.807) Prec@5 67.969 (69.463)
Epoch: [31][2060/5005] Time 0.211 (0.222) Data 0.042 (0.071) Loss 2.4835 (2.5032) Prec@1 41.406 (43.806) Prec@5 67.969 (69.464)
Epoch: [31][2070/5005] Time 0.199 (0.222) Data 0.049 (0.071) Loss 2.7402 (2.5036) Prec@1 38.672 (43.801) Prec@5 67.969 (69.457)
Epoch: [31][2080/5005] Time 0.214 (0.222) Data 0.042 (0.071) Loss 2.5289 (2.5034) Prec@1 41.406 (43.802) Prec@5 71.875 (69.462)
Epoch: [31][2090/5005] Time 0.200 (0.222) Data 0.050 (0.071) Loss 2.2914 (2.5028) Prec@1 47.656 (43.811) Prec@5 72.266 (69.471)
Epoch: [31][2100/5005] Time 0.240 (0.222) Data 0.157 (0.071) Loss 2.5942 (2.5027) Prec@1 43.359 (43.817) Prec@5 66.016 (69.469)
Epoch: [31][2110/5005] Time 0.203 (0.222) Data 0.052 (0.071) Loss 2.3547 (2.5028) Prec@1 46.094 (43.820) Prec@5 72.656 (69.469)
Epoch: [31][2120/5005] Time 0.197 (0.222) Data 0.048 (0.071) Loss 2.6624 (2.5027) Prec@1 46.875 (43.825) Prec@5 68.750 (69.468)
Epoch: [31][2130/5005] Time 0.210 (0.222) Data 0.046 (0.071) Loss 2.3787 (2.5023) Prec@1 48.438 (43.833) Prec@5 69.922 (69.479)
Epoch: [31][2140/5005] Time 0.204 (0.222) Data 0.043 (0.071) Loss 2.4231 (2.5023) Prec@1 42.578 (43.835) Prec@5 69.922 (69.477)
Epoch: [31][2150/5005] Time 0.203 (0.222) Data 0.045 (0.071) Loss 2.4559 (2.5024) Prec@1 44.141 (43.833) Prec@5 69.531 (69.473)
Epoch: [31][2160/5005] Time 0.194 (0.222) Data 0.089 (0.071) Loss 2.3574 (2.5023) Prec@1 44.922 (43.829) Prec@5 73.828 (69.473)
Epoch: [31][2170/5005] Time 0.204 (0.222) Data 0.040 (0.071) Loss 2.3482 (2.5019) Prec@1 43.750 (43.837) Prec@5 71.875 (69.478)
Epoch: [31][2180/5005] Time 0.195 (0.223) Data 0.063 (0.072) Loss 2.4629 (2.5019) Prec@1 46.094 (43.838) Prec@5 72.656 (69.477)
Epoch: [31][2190/5005] Time 0.203 (0.223) Data 0.063 (0.072) Loss 2.7311 (2.5022) Prec@1 39.844 (43.832) Prec@5 62.500 (69.471)
Epoch: [31][2200/5005] Time 0.198 (0.222) Data 0.093 (0.072) Loss 2.4981 (2.5022) Prec@1 42.578 (43.830) Prec@5 66.797 (69.470)
Epoch: [31][2210/5005] Time 0.199 (0.223) Data 0.047 (0.072) Loss 2.6259 (2.5024) Prec@1 41.406 (43.828) Prec@5 65.234 (69.464)
Epoch: [31][2220/5005] Time 0.440 (0.223) Data 0.359 (0.072) Loss 2.7417 (2.5022) Prec@1 41.797 (43.829) Prec@5 64.453 (69.469)
Epoch: [31][2230/5005] Time 0.201 (0.223) Data 0.056 (0.072) Loss 2.4967 (2.5022) Prec@1 43.359 (43.829) Prec@5 67.578 (69.473)
Epoch: [31][2240/5005] Time 0.210 (0.222) Data 0.042 (0.072) Loss 2.4192 (2.5022) Prec@1 46.094 (43.826) Prec@5 73.828 (69.474)
Epoch: [31][2250/5005] Time 0.200 (0.222) Data 0.048 (0.072) Loss 2.4245 (2.5021) Prec@1 46.875 (43.829) Prec@5 69.531 (69.475)
Epoch: [31][2260/5005] Time 0.196 (0.223) Data 0.044 (0.072) Loss 2.3910 (2.5017) Prec@1 45.703 (43.834) Prec@5 70.703 (69.481)
Epoch: [31][2270/5005] Time 0.200 (0.223) Data 0.042 (0.071) Loss 2.7073 (2.5016) Prec@1 39.062 (43.834) Prec@5 67.188 (69.482)
Epoch: [31][2280/5005] Time 0.213 (0.222) Data 0.042 (0.071) Loss 2.5224 (2.5016) Prec@1 42.578 (43.835) Prec@5 71.094 (69.485)
Epoch: [31][2290/5005] Time 0.204 (0.222) Data 0.044 (0.071) Loss 2.3174 (2.5016) Prec@1 50.781 (43.839) Prec@5 74.609 (69.493)
Epoch: [31][2300/5005] Time 0.205 (0.222) Data 0.065 (0.071) Loss 2.2599 (2.5013) Prec@1 46.484 (43.847) Prec@5 73.828 (69.496)
Epoch: [31][2310/5005] Time 0.847 (0.223) Data 0.765 (0.072) Loss 2.3402 (2.5012) Prec@1 45.703 (43.854) Prec@5 71.094 (69.499)
Epoch: [31][2320/5005] Time 0.196 (0.223) Data 0.043 (0.072) Loss 2.4938 (2.5010) Prec@1 43.359 (43.855) Prec@5 70.312 (69.504)
Epoch: [31][2330/5005] Time 0.214 (0.223) Data 0.043 (0.072) Loss 2.4108 (2.5009) Prec@1 47.266 (43.859) Prec@5 69.531 (69.502)
Epoch: [31][2340/5005] Time 0.199 (0.223) Data 0.046 (0.072) Loss 2.4120 (2.5006) Prec@1 43.750 (43.864) Prec@5 71.094 (69.506)
Epoch: [31][2350/5005] Time 0.195 (0.223) Data 0.098 (0.072) Loss 2.4745 (2.5005) Prec@1 43.359 (43.864) Prec@5 71.484 (69.508)
Epoch: [31][2360/5005] Time 0.207 (0.223) Data 0.040 (0.072) Loss 2.4901 (2.5005) Prec@1 44.922 (43.864) Prec@5 70.703 (69.508)
Epoch: [31][2370/5005] Time 0.201 (0.223) Data 0.055 (0.072) Loss 2.6001 (2.5007) Prec@1 40.625 (43.863) Prec@5 66.016 (69.505)
Epoch: [31][2380/5005] Time 0.192 (0.223) Data 0.047 (0.072) Loss 2.5272 (2.5005) Prec@1 41.406 (43.867) Prec@5 67.578 (69.510)
Epoch: [31][2390/5005] Time 0.202 (0.223) Data 0.049 (0.072) Loss 2.4952 (2.5003) Prec@1 45.703 (43.873) Prec@5 69.531 (69.512)
Epoch: [31][2400/5005] Time 0.211 (0.223) Data 0.046 (0.072) Loss 2.4548 (2.5003) Prec@1 45.312 (43.867) Prec@5 70.703 (69.510)
Epoch: [31][2410/5005] Time 0.199 (0.223) Data 0.044 (0.072) Loss 2.6290 (2.5003) Prec@1 41.016 (43.865) Prec@5 67.578 (69.508)
Epoch: [31][2420/5005] Time 0.198 (0.223) Data 0.043 (0.072) Loss 2.5627 (2.5002) Prec@1 42.969 (43.868) Prec@5 67.578 (69.508)
Epoch: [31][2430/5005] Time 0.209 (0.223) Data 0.039 (0.072) Loss 2.4009 (2.5003) Prec@1 45.312 (43.863) Prec@5 69.922 (69.504)
Epoch: [31][2440/5005] Time 0.216 (0.223) Data 0.043 (0.072) Loss 2.1710 (2.5001) Prec@1 54.688 (43.869) Prec@5 73.438 (69.506)
Epoch: [31][2450/5005] Time 0.199 (0.223) Data 0.041 (0.072) Loss 2.3948 (2.4998) Prec@1 45.703 (43.873) Prec@5 70.312 (69.508)
Epoch: [31][2460/5005] Time 0.201 (0.223) Data 0.076 (0.072) Loss 2.3949 (2.4997) Prec@1 42.578 (43.872) Prec@5 71.875 (69.506)
Epoch: [31][2470/5005] Time 0.199 (0.223) Data 0.045 (0.072) Loss 2.2558 (2.4995) Prec@1 44.922 (43.873) Prec@5 71.875 (69.511)
Epoch: [31][2480/5005] Time 0.196 (0.223) Data 0.047 (0.072) Loss 2.5292 (2.4996) Prec@1 42.188 (43.871) Prec@5 70.312 (69.511)
Epoch: [31][2490/5005] Time 0.210 (0.223) Data 0.043 (0.072) Loss 2.2645 (2.4995) Prec@1 43.359 (43.871) Prec@5 75.000 (69.514)
Epoch: [31][2500/5005] Time 0.205 (0.223) Data 0.047 (0.072) Loss 2.5178 (2.4994) Prec@1 43.750 (43.873) Prec@5 67.578 (69.515)
Epoch: [31][2510/5005] Time 0.211 (0.223) Data 0.045 (0.071) Loss 2.5403 (2.4993) Prec@1 43.359 (43.876) Prec@5 69.531 (69.517)
Epoch: [31][2520/5005] Time 0.217 (0.223) Data 0.040 (0.071) Loss 2.4472 (2.4991) Prec@1 46.094 (43.879) Prec@5 72.266 (69.521)
Epoch: [31][2530/5005] Time 0.281 (0.223) Data 0.194 (0.071) Loss 2.5446 (2.4991) Prec@1 42.578 (43.872) Prec@5 65.625 (69.519)
Epoch: [31][2540/5005] Time 0.204 (0.223) Data 0.039 (0.072) Loss 2.4884 (2.4991) Prec@1 42.578 (43.875) Prec@5 71.875 (69.519)
Epoch: [31][2550/5005] Time 0.209 (0.223) Data 0.043 (0.071) Loss 2.4469 (2.4990) Prec@1 43.750 (43.874) Prec@5 69.531 (69.524)
Epoch: [31][2560/5005] Time 0.614 (0.223) Data 0.528 (0.072) Loss 2.5399 (2.4989) Prec@1 43.359 (43.875) Prec@5 68.750 (69.527)
Epoch: [31][2570/5005] Time 0.198 (0.223) Data 0.084 (0.072) Loss 2.5031 (2.4990) Prec@1 45.312 (43.871) Prec@5 69.531 (69.524)
Epoch: [31][2580/5005] Time 0.202 (0.223) Data 0.043 (0.072) Loss 2.5435 (2.4993) Prec@1 41.797 (43.869) Prec@5 68.359 (69.520)
Epoch: [31][2590/5005] Time 0.210 (0.223) Data 0.042 (0.072) Loss 2.6446 (2.4992) Prec@1 46.094 (43.874) Prec@5 68.750 (69.522)
Epoch: [31][2600/5005] Time 0.205 (0.223) Data 0.065 (0.072) Loss 2.6046 (2.4993) Prec@1 40.625 (43.875) Prec@5 67.578 (69.519)
Epoch: [31][2610/5005] Time 0.192 (0.223) Data 0.046 (0.072) Loss 2.6301 (2.4991) Prec@1 41.406 (43.876) Prec@5 66.797 (69.524)
Epoch: [31][2620/5005] Time 0.205 (0.223) Data 0.113 (0.072) Loss 2.3605 (2.4991) Prec@1 48.438 (43.880) Prec@5 69.922 (69.525)
Epoch: [31][2630/5005] Time 0.212 (0.223) Data 0.045 (0.072) Loss 2.7189 (2.4993) Prec@1 40.625 (43.877) Prec@5 68.359 (69.520)
Epoch: [31][2640/5005] Time 0.192 (0.223) Data 0.065 (0.072) Loss 2.7708 (2.4994) Prec@1 40.234 (43.875) Prec@5 62.891 (69.520)
Epoch: [31][2650/5005] Time 0.200 (0.223) Data 0.048 (0.072) Loss 2.7739 (2.4993) Prec@1 39.062 (43.878) Prec@5 62.891 (69.522)
Epoch: [31][2660/5005] Time 0.197 (0.223) Data 0.045 (0.072) Loss 2.3860 (2.4993) Prec@1 42.969 (43.880) Prec@5 68.750 (69.521)
Epoch: [31][2670/5005] Time 0.209 (0.223) Data 0.046 (0.072) Loss 2.1282 (2.4988) Prec@1 48.438 (43.889) Prec@5 73.047 (69.528)
Epoch: [31][2680/5005] Time 0.195 (0.223) Data 0.045 (0.072) Loss 2.3460 (2.4988) Prec@1 47.266 (43.886) Prec@5 73.828 (69.526)
Epoch: [31][2690/5005] Time 0.208 (0.223) Data 0.041 (0.072) Loss 2.3927 (2.4985) Prec@1 46.484 (43.890) Prec@5 69.141 (69.526)
Epoch: [31][2700/5005] Time 0.203 (0.223) Data 0.040 (0.072) Loss 2.4330 (2.4985) Prec@1 44.141 (43.888) Prec@5 70.703 (69.530)
Epoch: [31][2710/5005] Time 0.245 (0.223) Data 0.155 (0.072) Loss 2.3661 (2.4987) Prec@1 46.484 (43.882) Prec@5 71.094 (69.526)
Epoch: [31][2720/5005] Time 0.203 (0.223) Data 0.038 (0.072) Loss 2.3989 (2.4986) Prec@1 50.000 (43.885) Prec@5 72.266 (69.528)
Epoch: [31][2730/5005] Time 0.201 (0.223) Data 0.044 (0.072) Loss 2.6117 (2.4984) Prec@1 41.016 (43.883) Prec@5 66.406 (69.533)
Epoch: [31][2740/5005] Time 0.201 (0.223) Data 0.048 (0.072) Loss 2.4212 (2.4983) Prec@1 46.484 (43.886) Prec@5 70.703 (69.532)
Epoch: [31][2750/5005] Time 0.205 (0.223) Data 0.054 (0.072) Loss 2.4583 (2.4981) Prec@1 41.797 (43.888) Prec@5 73.047 (69.537)
Epoch: [31][2760/5005] Time 0.198 (0.223) Data 0.041 (0.073) Loss 2.4393 (2.4978) Prec@1 44.141 (43.888) Prec@5 72.266 (69.545)
Epoch: [31][2770/5005] Time 0.206 (0.223) Data 0.045 (0.072) Loss 2.4529 (2.4978) Prec@1 44.922 (43.889) Prec@5 68.750 (69.544)
Epoch: [31][2780/5005] Time 0.203 (0.223) Data 0.040 (0.072) Loss 2.7709 (2.4980) Prec@1 38.281 (43.888) Prec@5 65.625 (69.541)
Epoch: [31][2790/5005] Time 0.432 (0.223) Data 0.348 (0.073) Loss 2.7823 (2.4981) Prec@1 37.109 (43.886) Prec@5 64.453 (69.537)
Epoch: [31][2800/5005] Time 0.196 (0.223) Data 0.046 (0.073) Loss 2.1460 (2.4980) Prec@1 53.125 (43.889) Prec@5 73.828 (69.537)
Epoch: [31][2810/5005] Time 0.205 (0.223) Data 0.045 (0.073) Loss 2.6542 (2.4979) Prec@1 42.578 (43.890) Prec@5 65.625 (69.540)
Epoch: [31][2820/5005] Time 0.200 (0.223) Data 0.041 (0.073) Loss 2.1823 (2.4977) Prec@1 46.094 (43.894) Prec@5 72.266 (69.543)
Epoch: [31][2830/5005] Time 0.200 (0.223) Data 0.056 (0.073) Loss 2.8770 (2.4978) Prec@1 38.672 (43.890) Prec@5 61.719 (69.537)
Epoch: [31][2840/5005] Time 0.214 (0.223) Data 0.042 (0.073) Loss 2.6092 (2.4977) Prec@1 43.359 (43.888) Prec@5 69.141 (69.539)
Epoch: [31][2850/5005] Time 0.209 (0.223) Data 0.051 (0.073) Loss 2.4527 (2.4975) Prec@1 46.484 (43.892) Prec@5 66.797 (69.541)
Epoch: [31][2860/5005] Time 0.204 (0.223) Data 0.042 (0.073) Loss 2.5426 (2.4974) Prec@1 45.703 (43.898) Prec@5 69.141 (69.541)
Epoch: [31][2870/5005] Time 0.211 (0.223) Data 0.044 (0.073) Loss 2.3270 (2.4971) Prec@1 45.312 (43.905) Prec@5 71.094 (69.549)
Epoch: [31][2880/5005] Time 0.205 (0.223) Data 0.051 (0.073) Loss 2.3835 (2.4971) Prec@1 44.922 (43.906) Prec@5 70.312 (69.548)
Epoch: [31][2890/5005] Time 0.211 (0.223) Data 0.046 (0.073) Loss 2.5581 (2.4970) Prec@1 37.891 (43.908) Prec@5 66.797 (69.546)
Epoch: [31][2900/5005] Time 0.203 (0.223) Data 0.039 (0.073) Loss 2.2520 (2.4966) Prec@1 45.312 (43.915) Prec@5 72.266 (69.556)
Epoch: [31][2910/5005] Time 0.209 (0.223) Data 0.053 (0.073) Loss 2.4683 (2.4968) Prec@1 44.531 (43.914) Prec@5 69.141 (69.558)
Epoch: [31][2920/5005] Time 0.196 (0.223) Data 0.049 (0.073) Loss 2.6660 (2.4968) Prec@1 42.969 (43.914) Prec@5 66.797 (69.560)
Epoch: [31][2930/5005] Time 0.208 (0.223) Data 0.041 (0.073) Loss 2.6533 (2.4968) Prec@1 38.281 (43.912) Prec@5 68.359 (69.557)
Epoch: [31][2940/5005] Time 0.364 (0.223) Data 0.285 (0.073) Loss 2.5810 (2.4966) Prec@1 42.969 (43.913) Prec@5 69.141 (69.560)
Epoch: [31][2950/5005] Time 0.207 (0.223) Data 0.044 (0.073) Loss 2.6905 (2.4964) Prec@1 39.844 (43.917) Prec@5 68.750 (69.566)
Epoch: [31][2960/5005] Time 0.196 (0.223) Data 0.058 (0.073) Loss 2.3872 (2.4962) Prec@1 46.484 (43.921) Prec@5 69.922 (69.568)
Epoch: [31][2970/5005] Time 0.204 (0.223) Data 0.048 (0.073) Loss 2.5557 (2.4960) Prec@1 37.891 (43.922) Prec@5 69.141 (69.571)
Epoch: [31][2980/5005] Time 0.203 (0.223) Data 0.041 (0.073) Loss 2.7208 (2.4961) Prec@1 36.719 (43.919) Prec@5 62.891 (69.568)
Epoch: [31][2990/5005] Time 0.205 (0.223) Data 0.041 (0.073) Loss 2.3284 (2.4960) Prec@1 45.312 (43.921) Prec@5 73.828 (69.568)
Epoch: [31][3000/5005] Time 0.288 (0.223) Data 0.210 (0.073) Loss 2.4023 (2.4957) Prec@1 44.531 (43.923) Prec@5 72.656 (69.575)
Epoch: [31][3010/5005] Time 0.212 (0.223) Data 0.048 (0.073) Loss 2.4820 (2.4958) Prec@1 41.797 (43.919) Prec@5 70.703 (69.575)
Epoch: [31][3020/5005] Time 0.199 (0.223) Data 0.050 (0.073) Loss 2.3890 (2.4959) Prec@1 43.359 (43.920) Prec@5 73.438 (69.576)
Epoch: [31][3030/5005] Time 0.207 (0.223) Data 0.050 (0.073) Loss 2.3553 (2.4959) Prec@1 47.656 (43.921) Prec@5 72.266 (69.576)
Epoch: [31][3040/5005] Time 0.195 (0.223) Data 0.052 (0.073) Loss 2.5053 (2.4957) Prec@1 41.406 (43.927) Prec@5 66.797 (69.577)
Epoch: [31][3050/5005] Time 0.459 (0.223) Data 0.376 (0.073) Loss 2.4216 (2.4956) Prec@1 44.141 (43.927) Prec@5 71.875 (69.579)
Epoch: [31][3060/5005] Time 0.203 (0.223) Data 0.044 (0.073) Loss 2.2945 (2.4955) Prec@1 51.562 (43.926) Prec@5 72.266 (69.583)
Epoch: [31][3070/5005] Time 0.219 (0.223) Data 0.046 (0.073) Loss 2.4328 (2.4956) Prec@1 43.750 (43.923) Prec@5 73.047 (69.585)
Epoch: [31][3080/5005] Time 0.192 (0.223) Data 0.046 (0.073) Loss 2.1837 (2.4955) Prec@1 44.922 (43.921) Prec@5 72.656 (69.587)
Epoch: [31][3090/5005] Time 0.201 (0.223) Data 0.057 (0.073) Loss 2.6988 (2.4954) Prec@1 37.891 (43.919) Prec@5 62.500 (69.588)
Epoch: [31][3100/5005] Time 0.202 (0.223) Data 0.045 (0.073) Loss 2.5501 (2.4954) Prec@1 42.578 (43.920) Prec@5 69.922 (69.586)
Epoch: [31][3110/5005] Time 0.204 (0.223) Data 0.046 (0.073) Loss 2.2568 (2.4952) Prec@1 46.094 (43.924) Prec@5 73.828 (69.587)
Epoch: [31][3120/5005] Time 0.890 (0.223) Data 0.801 (0.074) Loss 2.4922 (2.4951) Prec@1 41.797 (43.926) Prec@5 71.875 (69.588)
Epoch: [31][3130/5005] Time 0.204 (0.223) Data 0.044 (0.074) Loss 2.4622 (2.4948) Prec@1 44.141 (43.933) Prec@5 70.312 (69.594)
Epoch: [31][3140/5005] Time 0.209 (0.223) Data 0.052 (0.074) Loss 2.2113 (2.4946) Prec@1 51.562 (43.936) Prec@5 72.266 (69.596)
Epoch: [31][3150/5005] Time 0.240 (0.223) Data 0.161 (0.074) Loss 2.3654 (2.4943) Prec@1 46.484 (43.945) Prec@5 73.438 (69.600)
Epoch: [31][3160/5005] Time 0.210 (0.223) Data 0.122 (0.074) Loss 2.2628 (2.4944) Prec@1 48.828 (43.949) Prec@5 75.000 (69.603)
Epoch: [31][3170/5005] Time 0.254 (0.223) Data 0.168 (0.074) Loss 2.4904 (2.4945) Prec@1 38.281 (43.945) Prec@5 70.312 (69.599)
Epoch: [31][3180/5005] Time 0.203 (0.223) Data 0.041 (0.074) Loss 2.2975 (2.4943) Prec@1 47.656 (43.947) Prec@5 70.312 (69.601)
Epoch: [31][3190/5005] Time 0.205 (0.223) Data 0.055 (0.074) Loss 2.5222 (2.4943) Prec@1 43.750 (43.947) Prec@5 67.969 (69.604)
Epoch: [31][3200/5005] Time 0.198 (0.223) Data 0.087 (0.074) Loss 2.5551 (2.4942) Prec@1 43.359 (43.948) Prec@5 71.484 (69.606)
Epoch: [31][3210/5005] Time 0.458 (0.223) Data 0.373 (0.074) Loss 2.5581 (2.4942) Prec@1 43.750 (43.952) Prec@5 69.922 (69.605)
Epoch: [31][3220/5005] Time 0.198 (0.223) Data 0.050 (0.074) Loss 2.5953 (2.4942) Prec@1 40.625 (43.951) Prec@5 66.797 (69.605)
Epoch: [31][3230/5005] Time 0.199 (0.223) Data 0.053 (0.074) Loss 2.3134 (2.4939) Prec@1 47.266 (43.956) Prec@5 73.828 (69.611)
Epoch: [31][3240/5005] Time 0.201 (0.223) Data 0.039 (0.074) Loss 2.6114 (2.4942) Prec@1 39.453 (43.950) Prec@5 69.531 (69.606)
Epoch: [31][3250/5005] Time 0.210 (0.223) Data 0.057 (0.074) Loss 2.4253 (2.4942) Prec@1 46.094 (43.949) Prec@5 70.703 (69.606)
Epoch: [31][3260/5005] Time 0.197 (0.223) Data 0.043 (0.074) Loss 2.4730 (2.4941) Prec@1 47.266 (43.949) Prec@5 69.922 (69.608)
Epoch: [31][3270/5005] Time 0.199 (0.223) Data 0.045 (0.074) Loss 2.6456 (2.4940) Prec@1 43.750 (43.950) Prec@5 67.578 (69.611)
Epoch: [31][3280/5005] Time 0.622 (0.223) Data 0.537 (0.074) Loss 2.4093 (2.4940) Prec@1 45.703 (43.953) Prec@5 72.266 (69.613)
Epoch: [31][3290/5005] Time 0.205 (0.223) Data 0.040 (0.074) Loss 2.4584 (2.4937) Prec@1 42.578 (43.954) Prec@5 68.359 (69.615)
Epoch: [31][3300/5005] Time 0.205 (0.223) Data 0.047 (0.074) Loss 2.4834 (2.4937) Prec@1 42.188 (43.956) Prec@5 68.750 (69.614)
Epoch: [31][3310/5005] Time 0.208 (0.223) Data 0.043 (0.074) Loss 2.3910 (2.4936) Prec@1 46.875 (43.957) Prec@5 69.922 (69.613)
Epoch: [31][3320/5005] Time 0.205 (0.223) Data 0.049 (0.074) Loss 2.6043 (2.4937) Prec@1 43.359 (43.953) Prec@5 66.797 (69.613)
Epoch: [31][3330/5005] Time 0.212 (0.223) Data 0.046 (0.074) Loss 2.4990 (2.4937) Prec@1 43.750 (43.954) Prec@5 68.359 (69.614)
Epoch: [31][3340/5005] Time 0.195 (0.223) Data 0.058 (0.074) Loss 2.4460 (2.4936) Prec@1 44.531 (43.957) Prec@5 73.047 (69.616)
Epoch: [31][3350/5005] Time 0.198 (0.223) Data 0.045 (0.074) Loss 2.6399 (2.4935) Prec@1 42.188 (43.959) Prec@5 67.188 (69.620)
Epoch: [31][3360/5005] Time 0.192 (0.223) Data 0.096 (0.074) Loss 2.3889 (2.4934) Prec@1 44.531 (43.963) Prec@5 71.484 (69.623)
Epoch: [31][3370/5005] Time 0.260 (0.223) Data 0.174 (0.074) Loss 2.4890 (2.4934) Prec@1 39.844 (43.962) Prec@5 70.703 (69.623)
Epoch: [31][3380/5005] Time 0.254 (0.223) Data 0.164 (0.074) Loss 2.5362 (2.4933) Prec@1 44.922 (43.964) Prec@5 70.703 (69.624)
Epoch: [31][3390/5005] Time 0.206 (0.223) Data 0.041 (0.074) Loss 2.3919 (2.4934) Prec@1 45.312 (43.962) Prec@5 69.922 (69.620)
Epoch: [31][3400/5005] Time 0.198 (0.223) Data 0.047 (0.074) Loss 2.3077 (2.4934) Prec@1 48.047 (43.964) Prec@5 70.312 (69.618)
Epoch: [31][3410/5005] Time 0.311 (0.223) Data 0.223 (0.074) Loss 2.4882 (2.4933) Prec@1 48.828 (43.969) Prec@5 69.531 (69.621)
Epoch: [31][3420/5005] Time 0.314 (0.223) Data 0.223 (0.074) Loss 2.3908 (2.4932) Prec@1 45.703 (43.970) Prec@5 73.047 (69.622)
Epoch: [31][3430/5005] Time 0.194 (0.223) Data 0.051 (0.075) Loss 2.3499 (2.4932) Prec@1 44.922 (43.971) Prec@5 67.969 (69.621)
Epoch: [31][3440/5005] Time 0.197 (0.223) Data 0.045 (0.074) Loss 2.5645 (2.4930) Prec@1 41.016 (43.973) Prec@5 67.188 (69.621)
Epoch: [31][3450/5005] Time 0.235 (0.223) Data 0.146 (0.075) Loss 2.3500 (2.4929) Prec@1 42.578 (43.973) Prec@5 69.922 (69.622)
Epoch: [31][3460/5005] Time 0.194 (0.223) Data 0.047 (0.075) Loss 2.4396 (2.4930) Prec@1 48.047 (43.972) Prec@5 68.359 (69.620)
Epoch: [31][3470/5005] Time 0.196 (0.223) Data 0.110 (0.075) Loss 2.3122 (2.4928) Prec@1 47.656 (43.974) Prec@5 72.266 (69.624)
Epoch: [31][3480/5005] Time 0.457 (0.223) Data 0.369 (0.075) Loss 2.3561 (2.4924) Prec@1 44.141 (43.978) Prec@5 73.828 (69.630)
Epoch: [31][3490/5005] Time 0.206 (0.223) Data 0.046 (0.075) Loss 2.5896 (2.4924) Prec@1 39.062 (43.978) Prec@5 67.578 (69.629)
Epoch: [31][3500/5005] Time 0.201 (0.223) Data 0.046 (0.075) Loss 2.2874 (2.4924) Prec@1 43.750 (43.975) Prec@5 72.266 (69.630)
Epoch: [31][3510/5005] Time 0.193 (0.223) Data 0.060 (0.075) Loss 2.2403 (2.4922) Prec@1 46.484 (43.978) Prec@5 70.703 (69.633)
Epoch: [31][3520/5005] Time 0.208 (0.223) Data 0.046 (0.075) Loss 2.6879 (2.4921) Prec@1 42.188 (43.981) Prec@5 64.844 (69.632)
Epoch: [31][3530/5005] Time 0.202 (0.223) Data 0.070 (0.075) Loss 2.3366 (2.4920) Prec@1 46.484 (43.986) Prec@5 71.484 (69.637)
Epoch: [31][3540/5005] Time 0.202 (0.223) Data 0.044 (0.075) Loss 2.2989 (2.4917) Prec@1 43.750 (43.987) Prec@5 73.047 (69.641)
Epoch: [31][3550/5005] Time 0.202 (0.223) Data 0.041 (0.075) Loss 2.6900 (2.4917) Prec@1 35.938 (43.989) Prec@5 66.406 (69.641)
Epoch: [31][3560/5005] Time 0.208 (0.223) Data 0.050 (0.075) Loss 2.5246 (2.4915) Prec@1 44.531 (43.993) Prec@5 70.312 (69.643)
Epoch: [31][3570/5005] Time 0.199 (0.223) Data 0.087 (0.075) Loss 2.5425 (2.4915) Prec@1 42.188 (43.991) Prec@5 70.703 (69.642)
Epoch: [31][3580/5005] Time 0.213 (0.223) Data 0.133 (0.075) Loss 2.4419 (2.4914) Prec@1 45.703 (43.991) Prec@5 68.750 (69.643)
Epoch: [31][3590/5005] Time 0.273 (0.223) Data 0.179 (0.075) Loss 2.6312 (2.4911) Prec@1 40.234 (43.997) Prec@5 67.188 (69.648)
Epoch: [31][3600/5005] Time 0.189 (0.223) Data 0.061 (0.075) Loss 2.5316 (2.4910) Prec@1 47.656 (44.000) Prec@5 69.141 (69.652)
Epoch: [31][3610/5005] Time 0.190 (0.223) Data 0.070 (0.075) Loss 2.3193 (2.4910) Prec@1 51.953 (44.001) Prec@5 71.875 (69.652)
Epoch: [31][3620/5005] Time 0.194 (0.223) Data 0.045 (0.075) Loss 2.5379 (2.4907) Prec@1 40.625 (44.009) Prec@5 67.188 (69.656)
Epoch: [31][3630/5005] Time 0.202 (0.223) Data 0.055 (0.075) Loss 2.6973 (2.4907) Prec@1 41.016 (44.012) Prec@5 63.672 (69.656)
Epoch: [31][3640/5005] Time 0.194 (0.223) Data 0.064 (0.075) Loss 2.5501 (2.4907) Prec@1 41.797 (44.015) Prec@5 66.797 (69.653)
Epoch: [31][3650/5005] Time 0.200 (0.223) Data 0.088 (0.075) Loss 2.3486 (2.4907) Prec@1 44.922 (44.011) Prec@5 69.531 (69.653)
Epoch: [31][3660/5005] Time 0.203 (0.223) Data 0.056 (0.075) Loss 2.7446 (2.4905) Prec@1 39.453 (44.013) Prec@5 66.016 (69.656)
Epoch: [31][3670/5005] Time 0.204 (0.223) Data 0.042 (0.075) Loss 2.5850 (2.4905) Prec@1 46.875 (44.011) Prec@5 69.531 (69.655)
Epoch: [31][3680/5005] Time 0.203 (0.223) Data 0.051 (0.075) Loss 2.4513 (2.4906) Prec@1 44.922 (44.011) Prec@5 67.578 (69.653)
Epoch: [31][3690/5005] Time 0.204 (0.223) Data 0.053 (0.075) Loss 2.3072 (2.4905) Prec@1 48.438 (44.012) Prec@5 72.656 (69.655)
Epoch: [31][3700/5005] Time 0.206 (0.223) Data 0.039 (0.075) Loss 2.4595 (2.4905) Prec@1 45.312 (44.010) Prec@5 70.312 (69.654)
Epoch: [31][3710/5005] Time 0.197 (0.223) Data 0.048 (0.075) Loss 2.3783 (2.4904) Prec@1 48.047 (44.010) Prec@5 73.438 (69.659)
Epoch: [31][3720/5005] Time 0.213 (0.223) Data 0.041 (0.075) Loss 2.6100 (2.4903) Prec@1 45.703 (44.012) Prec@5 69.141 (69.662)
Epoch: [31][3730/5005] Time 0.218 (0.223) Data 0.043 (0.075) Loss 2.2989 (2.4901) Prec@1 49.219 (44.017) Prec@5 75.000 (69.667)
Epoch: [31][3740/5005] Time 0.205 (0.223) Data 0.043 (0.075) Loss 2.4634 (2.4898) Prec@1 44.531 (44.020) Prec@5 71.484 (69.673)
Epoch: [31][3750/5005] Time 0.196 (0.223) Data 0.045 (0.075) Loss 2.3477 (2.4900) Prec@1 45.312 (44.017) Prec@5 74.609 (69.670)
Epoch: [31][3760/5005] Time 0.399 (0.223) Data 0.309 (0.075) Loss 2.5534 (2.4901) Prec@1 41.406 (44.012) Prec@5 69.922 (69.669)
Epoch: [31][3770/5005] Time 0.197 (0.223) Data 0.086 (0.075) Loss 2.4813 (2.4898) Prec@1 44.922 (44.015) Prec@5 69.531 (69.671)
Epoch: [31][3780/5005] Time 0.821 (0.224) Data 0.739 (0.075) Loss 2.4683 (2.4898) Prec@1 41.016 (44.015) Prec@5 69.531 (69.669)
Epoch: [31][3790/5005] Time 0.203 (0.224) Data 0.047 (0.075) Loss 2.4911 (2.4898) Prec@1 43.750 (44.012) Prec@5 71.094 (69.669)
Epoch: [31][3800/5005] Time 0.196 (0.224) Data 0.050 (0.075) Loss 2.3645 (2.4900) Prec@1 43.359 (44.010) Prec@5 71.484 (69.664)
Epoch: [31][3810/5005] Time 0.196 (0.224) Data 0.046 (0.075) Loss 2.3435 (2.4900) Prec@1 46.875 (44.008) Prec@5 70.312 (69.665)
Epoch: [31][3820/5005] Time 0.200 (0.224) Data 0.044 (0.075) Loss 2.4055 (2.4898) Prec@1 47.656 (44.014) Prec@5 70.703 (69.669)
Epoch: [31][3830/5005] Time 0.204 (0.224) Data 0.052 (0.075) Loss 2.4090 (2.4896) Prec@1 42.578 (44.020) Prec@5 70.703 (69.673)
Epoch: [31][3840/5005] Time 0.201 (0.224) Data 0.052 (0.075) Loss 2.6757 (2.4896) Prec@1 39.453 (44.019) Prec@5 64.453 (69.671)
Epoch: [31][3850/5005] Time 0.208 (0.224) Data 0.049 (0.075) Loss 2.4573 (2.4895) Prec@1 46.484 (44.018) Prec@5 69.531 (69.675)
Epoch: [31][3860/5005] Time 0.211 (0.224) Data 0.045 (0.075) Loss 2.3192 (2.4895) Prec@1 50.781 (44.018) Prec@5 72.266 (69.675)
Epoch: [31][3870/5005] Time 0.200 (0.224) Data 0.048 (0.075) Loss 2.4725 (2.4895) Prec@1 42.578 (44.015) Prec@5 71.484 (69.673)
Epoch: [31][3880/5005] Time 0.204 (0.224) Data 0.043 (0.075) Loss 2.3247 (2.4895) Prec@1 47.656 (44.015) Prec@5 71.875 (69.675)
Epoch: [31][3890/5005] Time 0.205 (0.224) Data 0.042 (0.075) Loss 2.5544 (2.4894) Prec@1 43.359 (44.018) Prec@5 70.703 (69.677)
Epoch: [31][3900/5005] Time 0.196 (0.224) Data 0.044 (0.075) Loss 2.6455 (2.4895) Prec@1 40.625 (44.017) Prec@5 65.625 (69.673)
Epoch: [31][3910/5005] Time 0.202 (0.224) Data 0.040 (0.075) Loss 2.5759 (2.4895) Prec@1 38.672 (44.013) Prec@5 71.875 (69.671)
Epoch: [31][3920/5005] Time 0.197 (0.224) Data 0.040 (0.075) Loss 2.4946 (2.4894) Prec@1 44.531 (44.015) Prec@5 71.484 (69.668)
Epoch: [31][3930/5005] Time 0.197 (0.224) Data 0.054 (0.075) Loss 2.4737 (2.4892) Prec@1 46.094 (44.019) Prec@5 68.750 (69.670)
Epoch: [31][3940/5005] Time 0.203 (0.224) Data 0.051 (0.075) Loss 2.5315 (2.4892) Prec@1 42.969 (44.019) Prec@5 66.797 (69.670)
Epoch: [31][3950/5005] Time 0.210 (0.224) Data 0.045 (0.075) Loss 2.3804 (2.4889) Prec@1 46.875 (44.024) Prec@5 71.484 (69.675)
Epoch: [31][3960/5005] Time 0.200 (0.224) Data 0.046 (0.075) Loss 2.2997 (2.4888) Prec@1 45.312 (44.026) Prec@5 73.828 (69.677)
Epoch: [31][3970/5005] Time 0.322 (0.224) Data 0.236 (0.075) Loss 2.5700 (2.4888) Prec@1 45.312 (44.024) Prec@5 66.797 (69.676)
Epoch: [31][3980/5005] Time 0.207 (0.224) Data 0.062 (0.076) Loss 2.4771 (2.4888) Prec@1 43.750 (44.023) Prec@5 69.922 (69.676)
Epoch: [31][3990/5005] Time 0.197 (0.224) Data 0.046 (0.075) Loss 2.5251 (2.4887) Prec@1 43.750 (44.022) Prec@5 70.312 (69.674)
Epoch: [31][4000/5005] Time 0.207 (0.224) Data 0.042 (0.075) Loss 2.4771 (2.4887) Prec@1 42.188 (44.023) Prec@5 64.844 (69.674)
Epoch: [31][4010/5005] Time 0.204 (0.224) Data 0.049 (0.076) Loss 2.3633 (2.4884) Prec@1 47.656 (44.028) Prec@5 72.266 (69.678)
Epoch: [31][4020/5005] Time 0.193 (0.224) Data 0.044 (0.076) Loss 2.5727 (2.4883) Prec@1 42.969 (44.027) Prec@5 67.578 (69.680)
Epoch: [31][4030/5005] Time 0.202 (0.224) Data 0.061 (0.076) Loss 2.7001 (2.4884) Prec@1 41.406 (44.027) Prec@5 66.797 (69.677)
Epoch: [31][4040/5005] Time 0.210 (0.224) Data 0.048 (0.076) Loss 2.4656 (2.4886) Prec@1 44.141 (44.027) Prec@5 69.531 (69.678)
Epoch: [31][4050/5005] Time 0.193 (0.224) Data 0.049 (0.076) Loss 2.6622 (2.4885) Prec@1 37.891 (44.027) Prec@5 67.969 (69.680)
Epoch: [31][4060/5005] Time 0.202 (0.224) Data 0.046 (0.076) Loss 2.4592 (2.4885) Prec@1 44.141 (44.025) Prec@5 70.312 (69.679)
Epoch: [31][4070/5005] Time 0.198 (0.224) Data 0.048 (0.076) Loss 2.5307 (2.4885) Prec@1 43.359 (44.024) Prec@5 71.094 (69.682)
Epoch: [31][4080/5005] Time 0.200 (0.224) Data 0.054 (0.076) Loss 2.3818 (2.4884) Prec@1 45.703 (44.027) Prec@5 73.828 (69.683)
Epoch: [31][4090/5005] Time 0.307 (0.224) Data 0.225 (0.076) Loss 2.5658 (2.4884) Prec@1 41.797 (44.026) Prec@5 70.703 (69.680)
Epoch: [31][4100/5005] Time 0.195 (0.224) Data 0.049 (0.076) Loss 2.3273 (2.4883) Prec@1 47.266 (44.027) Prec@5 73.438 (69.683)
Epoch: [31][4110/5005] Time 0.199 (0.224) Data 0.044 (0.076) Loss 2.7076 (2.4884) Prec@1 37.891 (44.024) Prec@5 66.016 (69.683)
Epoch: [31][4120/5005] Time 0.204 (0.224) Data 0.053 (0.076) Loss 2.5759 (2.4882) Prec@1 42.188 (44.028) Prec@5 69.531 (69.686)
Epoch: [31][4130/5005] Time 0.200 (0.224) Data 0.044 (0.076) Loss 2.6523 (2.4882) Prec@1 43.750 (44.029) Prec@5 64.062 (69.684)
Epoch: [31][4140/5005] Time 0.196 (0.224) Data 0.118 (0.076) Loss 2.6222 (2.4881) Prec@1 43.750 (44.032) Prec@5 69.531 (69.685)
Epoch: [31][4150/5005] Time 0.191 (0.224) Data 0.048 (0.076) Loss 2.5947 (2.4881) Prec@1 43.750 (44.035) Prec@5 65.625 (69.687)
Epoch: [31][4160/5005] Time 0.197 (0.224) Data 0.047 (0.076) Loss 2.3934 (2.4882) Prec@1 44.922 (44.035) Prec@5 73.438 (69.685)
Epoch: [31][4170/5005] Time 0.207 (0.224) Data 0.047 (0.076) Loss 2.2830 (2.4879) Prec@1 46.875 (44.040) Prec@5 73.438 (69.686)
Epoch: [31][4180/5005] Time 0.213 (0.224) Data 0.134 (0.076) Loss 2.4244 (2.4878) Prec@1 46.484 (44.041) Prec@5 69.141 (69.688)
Epoch: [31][4190/5005] Time 0.304 (0.224) Data 0.222 (0.076) Loss 2.3023 (2.4877) Prec@1 47.656 (44.043) Prec@5 73.438 (69.688)
Epoch: [31][4200/5005] Time 0.194 (0.224) Data 0.056 (0.076) Loss 2.3104 (2.4876) Prec@1 46.094 (44.045) Prec@5 70.703 (69.689)
Epoch: [31][4210/5005] Time 0.201 (0.224) Data 0.039 (0.076) Loss 2.3406 (2.4876) Prec@1 45.312 (44.044) Prec@5 73.438 (69.689)
Epoch: [31][4220/5005] Time 0.199 (0.224) Data 0.055 (0.076) Loss 2.6507 (2.4877) Prec@1 42.969 (44.041) Prec@5 66.406 (69.684)
Epoch: [31][4230/5005] Time 0.201 (0.224) Data 0.047 (0.076) Loss 2.5315 (2.4877) Prec@1 44.922 (44.043) Prec@5 69.141 (69.685)
Epoch: [31][4240/5005] Time 0.205 (0.224) Data 0.046 (0.076) Loss 2.4850 (2.4877) Prec@1 44.141 (44.040) Prec@5 72.656 (69.687)
Epoch: [31][4250/5005] Time 0.197 (0.224) Data 0.048 (0.076) Loss 2.3144 (2.4875) Prec@1 45.312 (44.043) Prec@5 71.484 (69.691)
Epoch: [31][4260/5005] Time 0.205 (0.224) Data 0.040 (0.076) Loss 2.2674 (2.4873) Prec@1 46.875 (44.044) Prec@5 73.047 (69.693)
Epoch: [31][4270/5005] Time 0.206 (0.224) Data 0.047 (0.076) Loss 2.7394 (2.4874) Prec@1 41.016 (44.044) Prec@5 67.188 (69.693)
Epoch: [31][4280/5005] Time 0.195 (0.224) Data 0.054 (0.076) Loss 2.5868 (2.4874) Prec@1 44.531 (44.047) Prec@5 68.750 (69.694)
Epoch: [31][4290/5005] Time 0.197 (0.224) Data 0.051 (0.076) Loss 2.6718 (2.4874) Prec@1 41.406 (44.046) Prec@5 64.453 (69.693)
Epoch: [31][4300/5005] Time 0.199 (0.224) Data 0.050 (0.076) Loss 2.1782 (2.4872) Prec@1 47.656 (44.051) Prec@5 76.172 (69.696)
Epoch: [31][4310/5005] Time 0.195 (0.224) Data 0.053 (0.076) Loss 2.4630 (2.4872) Prec@1 45.312 (44.055) Prec@5 67.969 (69.697)
Epoch: [31][4320/5005] Time 0.200 (0.224) Data 0.043 (0.076) Loss 2.3885 (2.4871) Prec@1 47.266 (44.058) Prec@5 71.094 (69.696)
Epoch: [31][4330/5005] Time 0.262 (0.224) Data 0.175 (0.077) Loss 2.3293 (2.4870) Prec@1 44.141 (44.060) Prec@5 71.484 (69.699)
Epoch: [31][4340/5005] Time 0.203 (0.224) Data 0.047 (0.077) Loss 2.4595 (2.4870) Prec@1 42.969 (44.060) Prec@5 68.359 (69.699)
Epoch: [31][4350/5005] Time 0.202 (0.224) Data 0.044 (0.077) Loss 2.5489 (2.4868) Prec@1 44.922 (44.061) Prec@5 69.141 (69.701)
Epoch: [31][4360/5005] Time 0.200 (0.224) Data 0.046 (0.077) Loss 2.3844 (2.4867) Prec@1 47.656 (44.063) Prec@5 71.094 (69.705)
Epoch: [31][4370/5005] Time 0.325 (0.224) Data 0.234 (0.077) Loss 2.5896 (2.4868) Prec@1 41.406 (44.062) Prec@5 66.406 (69.703)
Epoch: [31][4380/5005] Time 0.195 (0.224) Data 0.060 (0.077) Loss 2.5870 (2.4868) Prec@1 38.672 (44.063) Prec@5 67.188 (69.701)
Epoch: [31][4390/5005] Time 0.193 (0.224) Data 0.049 (0.077) Loss 2.6244 (2.4867) Prec@1 39.062 (44.065) Prec@5 67.188 (69.705)
Epoch: [31][4400/5005] Time 0.216 (0.224) Data 0.047 (0.077) Loss 2.4173 (2.4866) Prec@1 42.969 (44.067) Prec@5 70.703 (69.705)
Epoch: [31][4410/5005] Time 0.201 (0.224) Data 0.042 (0.077) Loss 2.4807 (2.4865) Prec@1 44.922 (44.069) Prec@5 69.531 (69.706)
Epoch: [31][4420/5005] Time 0.197 (0.224) Data 0.060 (0.077) Loss 2.1574 (2.4864) Prec@1 51.172 (44.069) Prec@5 75.000 (69.709)
Epoch: [31][4430/5005] Time 0.202 (0.224) Data 0.052 (0.077) Loss 2.5372 (2.4861) Prec@1 40.234 (44.074) Prec@5 66.406 (69.711)
Epoch: [31][4440/5005] Time 0.203 (0.224) Data 0.048 (0.077) Loss 2.5458 (2.4861) Prec@1 47.656 (44.074) Prec@5 67.188 (69.710)
Epoch: [31][4450/5005] Time 0.202 (0.224) Data 0.060 (0.077) Loss 2.3050 (2.4861) Prec@1 47.266 (44.075) Prec@5 71.484 (69.710)
Epoch: [31][4460/5005] Time 0.212 (0.224) Data 0.044 (0.077) Loss 2.5097 (2.4858) Prec@1 44.531 (44.079) Prec@5 67.969 (69.712)
Epoch: [31][4470/5005] Time 0.213 (0.224) Data 0.039 (0.077) Loss 2.3892 (2.4858) Prec@1 45.312 (44.080) Prec@5 71.484 (69.713)
Epoch: [31][4480/5005] Time 0.264 (0.224) Data 0.181 (0.077) Loss 2.4037 (2.4860) Prec@1 46.875 (44.080) Prec@5 68.750 (69.709)
Epoch: [31][4490/5005] Time 0.197 (0.224) Data 0.093 (0.077) Loss 2.5324 (2.4860) Prec@1 42.578 (44.080) Prec@5 70.703 (69.708)
Epoch: [31][4500/5005] Time 0.207 (0.224) Data 0.043 (0.077) Loss 2.4254 (2.4859) Prec@1 44.531 (44.081) Prec@5 71.484 (69.710)
Epoch: [31][4510/5005] Time 0.201 (0.224) Data 0.046 (0.077) Loss 2.2090 (2.4860) Prec@1 48.828 (44.078) Prec@5 75.781 (69.710)
Epoch: [31][4520/5005] Time 0.200 (0.224) Data 0.048 (0.077) Loss 2.4438 (2.4857) Prec@1 46.094 (44.086) Prec@5 73.438 (69.716)
Epoch: [31][4530/5005] Time 0.205 (0.224) Data 0.040 (0.077) Loss 2.3520 (2.4855) Prec@1 49.219 (44.089) Prec@5 72.656 (69.718)
Epoch: [31][4540/5005] Time 0.229 (0.224) Data 0.144 (0.077) Loss 2.4880 (2.4856) Prec@1 43.359 (44.089) Prec@5 67.969 (69.715)
Epoch: [31][4550/5005] Time 0.204 (0.224) Data 0.043 (0.077) Loss 2.4884 (2.4855) Prec@1 42.578 (44.091) Prec@5 68.750 (69.716)
Epoch: [31][4560/5005] Time 0.202 (0.224) Data 0.090 (0.077) Loss 2.4428 (2.4854) Prec@1 44.922 (44.093) Prec@5 69.141 (69.716)
Epoch: [31][4570/5005] Time 0.205 (0.224) Data 0.044 (0.077) Loss 2.5619 (2.4853) Prec@1 44.531 (44.095) Prec@5 70.312 (69.718)
Epoch: [31][4580/5005] Time 0.194 (0.224) Data 0.100 (0.077) Loss 2.4336 (2.4852) Prec@1 42.188 (44.095) Prec@5 69.141 (69.722)
Epoch: [31][4590/5005] Time 0.199 (0.224) Data 0.050 (0.077) Loss 2.2551 (2.4852) Prec@1 51.953 (44.095) Prec@5 73.828 (69.722)
Epoch: [31][4600/5005] Time 0.206 (0.224) Data 0.046 (0.077) Loss 2.3115 (2.4852) Prec@1 51.562 (44.096) Prec@5 73.828 (69.720)
Epoch: [31][4610/5005] Time 0.198 (0.224) Data 0.044 (0.077) Loss 2.2118 (2.4852) Prec@1 50.000 (44.098) Prec@5 75.000 (69.719)
Epoch: [31][4620/5005] Time 0.194 (0.224) Data 0.064 (0.077) Loss 2.2260 (2.4852) Prec@1 50.000 (44.100) Prec@5 74.609 (69.718)
Epoch: [31][4630/5005] Time 0.204 (0.224) Data 0.044 (0.077) Loss 2.2293 (2.4849) Prec@1 48.438 (44.105) Prec@5 72.266 (69.722)
Epoch: [31][4640/5005] Time 0.197 (0.224) Data 0.111 (0.077) Loss 2.4789 (2.4848) Prec@1 44.922 (44.106) Prec@5 71.484 (69.725)
Epoch: [31][4650/5005] Time 0.205 (0.224) Data 0.046 (0.077) Loss 2.4268 (2.4846) Prec@1 42.969 (44.108) Prec@5 70.312 (69.727)
Epoch: [31][4660/5005] Time 0.208 (0.224) Data 0.046 (0.077) Loss 2.7459 (2.4846) Prec@1 42.188 (44.111) Prec@5 66.406 (69.727)
Epoch: [31][4670/5005] Time 0.209 (0.224) Data 0.040 (0.077) Loss 2.4246 (2.4845) Prec@1 43.359 (44.114) Prec@5 71.094 (69.728)
Epoch: [31][4680/5005] Time 0.204 (0.224) Data 0.040 (0.077) Loss 2.3458 (2.4844) Prec@1 42.969 (44.113) Prec@5 72.266 (69.728)
Epoch: [31][4690/5005] Time 0.195 (0.224) Data 0.060 (0.077) Loss 2.5599 (2.4844) Prec@1 42.969 (44.113) Prec@5 67.578 (69.728)
Epoch: [31][4700/5005] Time 0.207 (0.224) Data 0.044 (0.077) Loss 2.4014 (2.4843) Prec@1 45.703 (44.115) Prec@5 72.656 (69.728)
Epoch: [31][4710/5005] Time 0.195 (0.224) Data 0.051 (0.077) Loss 2.3671 (2.4841) Prec@1 48.438 (44.118) Prec@5 72.656 (69.733)
Epoch: [31][4720/5005] Time 0.195 (0.224) Data 0.043 (0.077) Loss 2.3803 (2.4840) Prec@1 45.703 (44.119) Prec@5 74.219 (69.738)
Epoch: [31][4730/5005] Time 0.203 (0.224) Data 0.051 (0.077) Loss 2.3789 (2.4841) Prec@1 48.047 (44.118) Prec@5 71.875 (69.736)
Epoch: [31][4740/5005] Time 0.201 (0.224) Data 0.044 (0.077) Loss 2.3794 (2.4838) Prec@1 42.969 (44.122) Prec@5 72.266 (69.740)
Epoch: [31][4750/5005] Time 0.197 (0.224) Data 0.040 (0.077) Loss 2.6251 (2.4837) Prec@1 39.062 (44.122) Prec@5 68.750 (69.742)
Epoch: [31][4760/5005] Time 0.211 (0.224) Data 0.043 (0.077) Loss 2.7743 (2.4836) Prec@1 37.500 (44.124) Prec@5 65.625 (69.745)
Epoch: [31][4770/5005] Time 0.202 (0.224) Data 0.041 (0.077) Loss 2.3391 (2.4835) Prec@1 47.266 (44.126) Prec@5 70.703 (69.746)
Epoch: [31][4780/5005] Time 0.457 (0.224) Data 0.368 (0.077) Loss 2.4469 (2.4835) Prec@1 44.922 (44.127) Prec@5 72.266 (69.747)
Epoch: [31][4790/5005] Time 0.195 (0.224) Data 0.050 (0.077) Loss 2.7217 (2.4835) Prec@1 40.234 (44.129) Prec@5 66.406 (69.747)
Epoch: [31][4800/5005] Time 0.201 (0.224) Data 0.053 (0.077) Loss 2.5086 (2.4833) Prec@1 42.578 (44.131) Prec@5 70.312 (69.750)
Epoch: [31][4810/5005] Time 0.206 (0.224) Data 0.051 (0.077) Loss 2.6480 (2.4833) Prec@1 42.578 (44.132) Prec@5 67.969 (69.749)
Epoch: [31][4820/5005] Time 0.199 (0.224) Data 0.039 (0.077) Loss 2.6762 (2.4832) Prec@1 39.844 (44.132) Prec@5 67.578 (69.751)
Epoch: [31][4830/5005] Time 0.404 (0.224) Data 0.320 (0.077) Loss 2.4487 (2.4831) Prec@1 42.188 (44.136) Prec@5 68.359 (69.751)
Epoch: [31][4840/5005] Time 0.194 (0.224) Data 0.053 (0.077) Loss 2.2873 (2.4831) Prec@1 48.047 (44.137) Prec@5 73.047 (69.750)
Epoch: [31][4850/5005] Time 0.208 (0.224) Data 0.042 (0.077) Loss 2.5002 (2.4832) Prec@1 45.703 (44.137) Prec@5 70.312 (69.749)
Epoch: [31][4860/5005] Time 0.187 (0.224) Data 0.050 (0.077) Loss 2.3901 (2.4831) Prec@1 44.922 (44.138) Prec@5 71.094 (69.750)
Epoch: [31][4870/5005] Time 0.196 (0.224) Data 0.046 (0.077) Loss 2.3657 (2.4830) Prec@1 48.438 (44.139) Prec@5 69.922 (69.749)
Epoch: [31][4880/5005] Time 0.207 (0.224) Data 0.049 (0.077) Loss 2.3307 (2.4829) Prec@1 43.359 (44.141) Prec@5 69.531 (69.750)
Epoch: [31][4890/5005] Time 0.204 (0.224) Data 0.046 (0.077) Loss 2.5580 (2.4828) Prec@1 43.750 (44.143) Prec@5 66.406 (69.752)
Epoch: [31][4900/5005] Time 0.403 (0.224) Data 0.321 (0.077) Loss 2.3879 (2.4827) Prec@1 41.016 (44.143) Prec@5 73.438 (69.752)
Epoch: [31][4910/5005] Time 0.195 (0.224) Data 0.096 (0.077) Loss 2.4922 (2.4825) Prec@1 46.484 (44.147) Prec@5 67.969 (69.757)
Epoch: [31][4920/5005] Time 0.203 (0.224) Data 0.048 (0.077) Loss 2.4027 (2.4824) Prec@1 43.359 (44.144) Prec@5 69.141 (69.758)
Epoch: [31][4930/5005] Time 0.206 (0.224) Data 0.050 (0.077) Loss 2.5613 (2.4823) Prec@1 46.094 (44.146) Prec@5 66.406 (69.761)
Epoch: [31][4940/5005] Time 0.208 (0.224) Data 0.043 (0.077) Loss 2.4294 (2.4823) Prec@1 46.484 (44.147) Prec@5 67.969 (69.760)
Epoch: [31][4950/5005] Time 0.192 (0.224) Data 0.048 (0.077) Loss 2.2628 (2.4823) Prec@1 45.703 (44.148) Prec@5 72.656 (69.761)
Epoch: [31][4960/5005] Time 0.202 (0.224) Data 0.044 (0.077) Loss 2.6350 (2.4822) Prec@1 42.969 (44.150) Prec@5 69.531 (69.762)
Epoch: [31][4970/5005] Time 0.203 (0.224) Data 0.048 (0.077) Loss 2.5869 (2.4822) Prec@1 42.969 (44.151) Prec@5 69.141 (69.763)
Epoch: [31][4980/5005] Time 0.210 (0.224) Data 0.046 (0.077) Loss 2.5789 (2.4821) Prec@1 44.141 (44.154) Prec@5 67.969 (69.765)
Epoch: [31][4990/5005] Time 0.207 (0.224) Data 0.035 (0.078) Loss 2.6062 (2.4819) Prec@1 39.062 (44.158) Prec@5 67.578 (69.768)
Epoch: [31][5000/5005] Time 0.205 (0.224) Data 0.027 (0.077) Loss 2.5744 (2.4819) Prec@1 39.062 (44.157) Prec@5 68.750 (69.768)
Test: [0/196] Time 2.575 (2.575) Loss 2.4835 (2.4835) Prec@1 46.094 (46.094) Prec@5 70.312 (70.312)
Test: [10/196] Time 0.042 (0.410) Loss 2.5270 (2.6251) Prec@1 46.484 (43.075) Prec@5 69.141 (68.466)
Test: [20/196] Time 0.044 (0.301) Loss 2.5518 (2.6384) Prec@1 44.531 (42.020) Prec@5 69.531 (68.006)
Test: [30/196] Time 0.074 (0.267) Loss 2.5246 (2.6459) Prec@1 43.359 (41.961) Prec@5 70.312 (67.944)
Test: [40/196] Time 0.228 (0.272) Loss 2.4327 (2.6439) Prec@1 49.219 (42.140) Prec@5 72.266 (67.902)
Test: [50/196] Time 0.045 (0.267) Loss 2.7178 (2.6472) Prec@1 43.750 (42.172) Prec@5 69.922 (67.777)
Test: [60/196] Time 0.044 (0.250) Loss 2.5786 (2.6353) Prec@1 43.359 (42.501) Prec@5 67.578 (67.892)
Test: [70/196] Time 0.044 (0.250) Loss 2.5820 (2.6297) Prec@1 44.141 (42.518) Prec@5 66.016 (67.897)
Test: [80/196] Time 0.144 (0.244) Loss 2.5201 (2.6347) Prec@1 48.438 (42.568) Prec@5 72.656 (67.906)
Test: [90/196] Time 0.425 (0.243) Loss 2.7087 (2.6359) Prec@1 45.312 (42.673) Prec@5 68.750 (67.887)
Test: [100/196] Time 0.044 (0.237) Loss 2.7220 (2.6343) Prec@1 43.750 (42.779) Prec@5 65.625 (67.888)
Test: [110/196] Time 0.280 (0.239) Loss 2.7518 (2.6357) Prec@1 40.234 (42.835) Prec@5 65.234 (67.905)
Test: [120/196] Time 0.049 (0.237) Loss 2.4685 (2.6328) Prec@1 42.188 (42.907) Prec@5 69.922 (67.959)
Test: [130/196] Time 0.045 (0.234) Loss 2.3184 (2.6292) Prec@1 46.875 (43.052) Prec@5 73.438 (67.990)
Test: [140/196] Time 0.049 (0.236) Loss 2.4435 (2.6310) Prec@1 43.359 (42.944) Prec@5 69.141 (67.922)
Test: [150/196] Time 0.094 (0.233) Loss 2.2954 (2.6292) Prec@1 46.094 (42.917) Prec@5 76.172 (68.049)
Test: [160/196] Time 0.046 (0.233) Loss 2.5751 (2.6282) Prec@1 48.047 (42.906) Prec@5 67.188 (68.046)
Test: [170/196] Time 0.042 (0.230) Loss 2.5128 (2.6301) Prec@1 45.703 (42.903) Prec@5 73.828 (68.040)
Test: [180/196] Time 0.435 (0.235) Loss 2.8080 (2.6349) Prec@1 42.188 (42.775) Prec@5 64.453 (67.923)
Test: [190/196] Time 0.241 (0.234) Loss 2.8771 (2.6387) Prec@1 39.062 (42.705) Prec@5 61.719 (67.768)
* Prec@1 42.738 Prec@5 67.766
Learning rate: 0.0001
Epoch: [32][0/5005] Time 2.122 (2.122) Data 2.010 (2.010) Loss 2.4938 (2.4938) Prec@1 41.016 (41.016) Prec@5 68.359 (68.359)
Epoch: [32][10/5005] Time 0.201 (0.380) Data 0.048 (0.235) Loss 2.4113 (2.5252) Prec@1 47.266 (42.614) Prec@5 73.047 (69.034)
Epoch: [32][20/5005] Time 0.201 (0.294) Data 0.042 (0.145) Loss 2.5854 (2.5220) Prec@1 43.359 (42.392) Prec@5 71.484 (69.215)
Epoch: [32][30/5005] Time 0.199 (0.263) Data 0.047 (0.114) Loss 2.4068 (2.4960) Prec@1 45.312 (43.145) Prec@5 69.141 (69.292)
Epoch: [32][40/5005] Time 0.196 (0.248) Data 0.038 (0.097) Loss 2.4730 (2.4995) Prec@1 43.750 (43.426) Prec@5 65.234 (69.236)
Epoch: [32][50/5005] Time 0.213 (0.239) Data 0.042 (0.087) Loss 2.3208 (2.4964) Prec@1 44.141 (43.344) Prec@5 75.391 (69.278)
Epoch: [32][60/5005] Time 0.197 (0.233) Data 0.044 (0.080) Loss 2.4133 (2.4982) Prec@1 44.531 (43.340) Prec@5 74.219 (69.294)
Epoch: [32][70/5005] Time 0.186 (0.228) Data 0.052 (0.076) Loss 2.5818 (2.5104) Prec@1 43.750 (43.189) Prec@5 68.750 (69.075)
Epoch: [32][80/5005] Time 0.202 (0.225) Data 0.047 (0.073) Loss 2.4163 (2.5064) Prec@1 48.438 (43.258) Prec@5 71.094 (69.165)
Epoch: [32][90/5005] Time 0.197 (0.222) Data 0.054 (0.071) Loss 2.5565 (2.5048) Prec@1 44.531 (43.419) Prec@5 67.188 (69.171)
Epoch: [32][100/5005] Time 0.196 (0.220) Data 0.044 (0.068) Loss 2.3581 (2.5057) Prec@1 42.578 (43.313) Prec@5 71.094 (69.083)
Epoch: [32][110/5005] Time 0.208 (0.218) Data 0.045 (0.066) Loss 2.5097 (2.5082) Prec@1 47.266 (43.402) Prec@5 67.969 (69.046)
Epoch: [32][120/5005] Time 0.208 (0.217) Data 0.040 (0.064) Loss 2.6028 (2.5086) Prec@1 40.234 (43.427) Prec@5 69.141 (69.028)
Epoch: [32][130/5005] Time 0.197 (0.218) Data 0.045 (0.063) Loss 2.5115 (2.5070) Prec@1 44.922 (43.488) Prec@5 68.359 (69.060)
Epoch: [32][140/5005] Time 0.352 (0.219) Data 0.273 (0.066) Loss 2.6722 (2.5043) Prec@1 36.719 (43.501) Prec@5 66.406 (69.099)
Epoch: [32][150/5005] Time 0.353 (0.219) Data 0.277 (0.067) Loss 2.6655 (2.5063) Prec@1 41.406 (43.512) Prec@5 66.406 (69.143)
Epoch: [32][160/5005] Time 0.481 (0.221) Data 0.404 (0.071) Loss 2.6222 (2.5102) Prec@1 40.625 (43.410) Prec@5 67.969 (69.153)
Epoch: [32][170/5005] Time 0.199 (0.222) Data 0.053 (0.072) Loss 2.5144 (2.5109) Prec@1 45.703 (43.405) Prec@5 67.578 (69.120)
Epoch: [32][180/5005] Time 0.254 (0.223) Data 0.168 (0.075) Loss 2.6276 (2.5100) Prec@1 41.016 (43.459) Prec@5 67.578 (69.134)
Epoch: [32][190/5005] Time 0.207 (0.224) Data 0.046 (0.077) Loss 2.6452 (2.5141) Prec@1 40.234 (43.331) Prec@5 70.312 (69.089)
Epoch: [32][200/5005] Time 0.226 (0.225) Data 0.043 (0.078) Loss 2.7008 (2.5150) Prec@1 39.844 (43.342) Prec@5 69.141 (69.121)
Epoch: [32][210/5005] Time 0.213 (0.225) Data 0.127 (0.077) Loss 2.3743 (2.5156) Prec@1 46.484 (43.341) Prec@5 71.484 (69.154)
Epoch: [32][220/5005] Time 0.208 (0.226) Data 0.046 (0.078) Loss 2.6419 (2.5165) Prec@1 43.750 (43.333) Prec@5 68.359 (69.116)
Epoch: [32][230/5005] Time 0.203 (0.226) Data 0.108 (0.079) Loss 2.5893 (2.5162) Prec@1 38.281 (43.378) Prec@5 67.578 (69.137)
Epoch: [32][240/5005] Time 0.221 (0.227) Data 0.041 (0.080) Loss 2.4425 (2.5158) Prec@1 44.531 (43.397) Prec@5 68.750 (69.173)
Epoch: [32][250/5005] Time 0.225 (0.226) Data 0.047 (0.079) Loss 2.5353 (2.5149) Prec@1 43.359 (43.426) Prec@5 69.922 (69.190)
Epoch: [32][260/5005] Time 0.558 (0.229) Data 0.476 (0.082) Loss 2.3337 (2.5136) Prec@1 46.484 (43.464) Prec@5 70.312 (69.233)
Epoch: [32][270/5005] Time 0.210 (0.228) Data 0.054 (0.081) Loss 2.4940 (2.5128) Prec@1 44.531 (43.496) Prec@5 69.141 (69.247)
Epoch: [32][280/5005] Time 0.212 (0.228) Data 0.044 (0.081) Loss 2.9606 (2.5139) Prec@1 39.062 (43.487) Prec@5 60.547 (69.202)
Epoch: [32][290/5005] Time 0.216 (0.228) Data 0.042 (0.081) Loss 2.4598 (2.5156) Prec@1 44.922 (43.420) Prec@5 67.969 (69.176)
Epoch: [32][300/5005] Time 0.206 (0.229) Data 0.049 (0.082) Loss 2.2458 (2.5138) Prec@1 45.703 (43.432) Prec@5 71.875 (69.211)
Epoch: [32][310/5005] Time 0.210 (0.230) Data 0.050 (0.083) Loss 2.3486 (2.5104) Prec@1 47.266 (43.484) Prec@5 73.438 (69.275)
Epoch: [32][320/5005] Time 0.203 (0.230) Data 0.048 (0.083) Loss 2.7298 (2.5109) Prec@1 41.016 (43.488) Prec@5 67.969 (69.273)
Epoch: [32][330/5005] Time 0.213 (0.231) Data 0.045 (0.085) Loss 2.1967 (2.5083) Prec@1 46.875 (43.529) Prec@5 75.000 (69.315)
Epoch: [32][340/5005] Time 0.208 (0.231) Data 0.041 (0.085) Loss 2.6650 (2.5121) Prec@1 42.969 (43.515) Prec@5 67.188 (69.243)
Epoch: [32][350/5005] Time 0.204 (0.230) Data 0.051 (0.084) Loss 2.6859 (2.5116) Prec@1 39.844 (43.519) Prec@5 67.188 (69.250)
Epoch: [32][360/5005] Time 0.219 (0.230) Data 0.039 (0.083) Loss 2.5447 (2.5100) Prec@1 44.531 (43.549) Prec@5 68.359 (69.249)
Epoch: [32][370/5005] Time 0.211 (0.229) Data 0.041 (0.082) Loss 2.4424 (2.5089) Prec@1 45.703 (43.549) Prec@5 70.312 (69.279)
Epoch: [32][380/5005] Time 0.217 (0.229) Data 0.042 (0.081) Loss 2.6790 (2.5097) Prec@1 40.625 (43.505) Prec@5 68.359 (69.260)
Epoch: [32][390/5005] Time 0.210 (0.229) Data 0.040 (0.080) Loss 2.4905 (2.5095) Prec@1 44.531 (43.528) Prec@5 68.359 (69.263)
Epoch: [32][400/5005] Time 0.216 (0.228) Data 0.042 (0.079) Loss 2.4050 (2.5083) Prec@1 44.922 (43.540) Prec@5 70.703 (69.289)
Epoch: [32][410/5005] Time 0.219 (0.228) Data 0.039 (0.078) Loss 2.3147 (2.5074) Prec@1 45.703 (43.573) Prec@5 73.047 (69.315)
Epoch: [32][420/5005] Time 0.212 (0.228) Data 0.040 (0.078) Loss 2.3099 (2.5060) Prec@1 46.484 (43.617) Prec@5 72.266 (69.345)
Epoch: [32][430/5005] Time 0.213 (0.227) Data 0.049 (0.077) Loss 2.4589 (2.5061) Prec@1 46.875 (43.609) Prec@5 71.484 (69.345)
Epoch: [32][440/5005] Time 0.214 (0.227) Data 0.046 (0.076) Loss 2.4410 (2.5056) Prec@1 48.828 (43.625) Prec@5 67.578 (69.357)
Epoch: [32][450/5005] Time 0.218 (0.227) Data 0.046 (0.076) Loss 2.4010 (2.5068) Prec@1 39.844 (43.580) Prec@5 71.484 (69.336)
Epoch: [32][460/5005] Time 0.207 (0.227) Data 0.044 (0.075) Loss 2.5770 (2.5078) Prec@1 43.750 (43.570) Prec@5 66.406 (69.308)
Epoch: [32][470/5005] Time 0.215 (0.226) Data 0.046 (0.074) Loss 2.6507 (2.5094) Prec@1 40.234 (43.548) Prec@5 65.234 (69.268)
Epoch: [32][480/5005] Time 0.212 (0.226) Data 0.042 (0.074) Loss 2.5157 (2.5096) Prec@1 41.797 (43.550) Prec@5 68.359 (69.262)
Epoch: [32][490/5005] Time 0.218 (0.226) Data 0.048 (0.073) Loss 2.4271 (2.5099) Prec@1 43.359 (43.530) Prec@5 68.359 (69.255)
Epoch: [32][500/5005] Time 0.216 (0.226) Data 0.044 (0.072) Loss 2.6382 (2.5115) Prec@1 42.578 (43.530) Prec@5 68.359 (69.232)
Epoch: [32][510/5005] Time 0.211 (0.225) Data 0.041 (0.072) Loss 2.7686 (2.5116) Prec@1 38.281 (43.537) Prec@5 63.672 (69.225)
Epoch: [32][520/5005] Time 0.207 (0.225) Data 0.043 (0.071) Loss 2.4345 (2.5116) Prec@1 43.359 (43.524) Prec@5 69.141 (69.249)
Epoch: [32][530/5005] Time 0.213 (0.225) Data 0.041 (0.071) Loss 2.3907 (2.5110) Prec@1 46.484 (43.520) Prec@5 74.219 (69.263)
Epoch: [32][540/5005] Time 0.211 (0.225) Data 0.041 (0.070) Loss 2.6798 (2.5120) Prec@1 39.453 (43.513) Prec@5 67.969 (69.256)
Epoch: [32][550/5005] Time 0.223 (0.224) Data 0.043 (0.070) Loss 2.3894 (2.5113) Prec@1 45.312 (43.527) Prec@5 73.438 (69.253)
Epoch: [32][560/5005] Time 0.218 (0.224) Data 0.049 (0.069) Loss 2.6525 (2.5110) Prec@1 41.016 (43.524) Prec@5 70.703 (69.268)
Epoch: [32][570/5005] Time 0.210 (0.224) Data 0.041 (0.069) Loss 2.4536 (2.5114) Prec@1 44.141 (43.506) Prec@5 71.094 (69.258)
Epoch: [32][580/5005] Time 0.208 (0.224) Data 0.042 (0.069) Loss 2.4482 (2.5115) Prec@1 45.312 (43.496) Prec@5 67.188 (69.260)
Epoch: [32][590/5005] Time 0.197 (0.224) Data 0.043 (0.068) Loss 2.7196 (2.5115) Prec@1 40.234 (43.507) Prec@5 65.234 (69.242)
Epoch: [32][600/5005] Time 0.220 (0.224) Data 0.044 (0.068) Loss 2.4385 (2.5128) Prec@1 42.578 (43.488) Prec@5 72.656 (69.238)
Epoch: [32][610/5005] Time 0.209 (0.223) Data 0.044 (0.067) Loss 2.5032 (2.5132) Prec@1 44.531 (43.487) Prec@5 68.359 (69.230)
Epoch: [32][620/5005] Time 0.218 (0.223) Data 0.043 (0.067) Loss 2.5941 (2.5135) Prec@1 41.406 (43.503) Prec@5 67.578 (69.229)
Epoch: [32][630/5005] Time 0.216 (0.223) Data 0.040 (0.067) Loss 2.8244 (2.5135) Prec@1 40.234 (43.509) Prec@5 64.453 (69.232)
Epoch: [32][640/5005] Time 0.215 (0.223) Data 0.042 (0.066) Loss 2.3378 (2.5127) Prec@1 47.266 (43.527) Prec@5 70.703 (69.243)
Epoch: [32][650/5005] Time 0.212 (0.223) Data 0.039 (0.066) Loss 2.5799 (2.5132) Prec@1 41.406 (43.510) Prec@5 67.188 (69.233)
Epoch: [32][660/5005] Time 0.214 (0.223) Data 0.043 (0.066) Loss 2.5952 (2.5124) Prec@1 40.234 (43.519) Prec@5 70.312 (69.264)
Epoch: [32][670/5005] Time 0.215 (0.223) Data 0.042 (0.065) Loss 2.7835 (2.5124) Prec@1 36.328 (43.526) Prec@5 67.578 (69.267)
Epoch: [32][680/5005] Time 0.213 (0.222) Data 0.042 (0.065) Loss 2.4008 (2.5119) Prec@1 48.047 (43.550) Prec@5 73.047 (69.272)
Epoch: [32][690/5005] Time 0.218 (0.222) Data 0.045 (0.065) Loss 2.2777 (2.5111) Prec@1 47.266 (43.554) Prec@5 73.438 (69.299)
Epoch: [32][700/5005] Time 0.218 (0.222) Data 0.043 (0.064) Loss 2.4437 (2.5105) Prec@1 44.922 (43.558) Prec@5 71.094 (69.317)
Epoch: [32][710/5005] Time 0.220 (0.222) Data 0.041 (0.064) Loss 2.2740 (2.5100) Prec@1 46.484 (43.565) Prec@5 77.344 (69.331)
Epoch: [32][720/5005] Time 0.209 (0.222) Data 0.044 (0.064) Loss 2.5199 (2.5094) Prec@1 39.453 (43.570) Prec@5 70.312 (69.337)
Epoch: [32][730/5005] Time 0.222 (0.222) Data 0.043 (0.063) Loss 2.5270 (2.5097) Prec@1 44.922 (43.575) Prec@5 68.359 (69.329)
Epoch: [32][740/5005] Time 0.217 (0.222) Data 0.046 (0.063) Loss 2.6970 (2.5097) Prec@1 43.359 (43.584) Prec@5 64.844 (69.329)
Epoch: [32][750/5005] Time 0.213 (0.221) Data 0.063 (0.063) Loss 2.2788 (2.5093) Prec@1 50.000 (43.593) Prec@5 73.828 (69.343)
Epoch: [32][760/5005] Time 0.207 (0.222) Data 0.054 (0.063) Loss 2.3036 (2.5092) Prec@1 49.609 (43.587) Prec@5 73.438 (69.347)
Epoch: [32][770/5005] Time 0.202 (0.221) Data 0.061 (0.063) Loss 2.6346 (2.5080) Prec@1 40.234 (43.599) Prec@5 68.359 (69.360)
Epoch: [32][780/5005] Time 0.210 (0.221) Data 0.042 (0.063) Loss 2.5404 (2.5078) Prec@1 42.578 (43.607) Prec@5 66.406 (69.348)
Epoch: [32][790/5005] Time 0.210 (0.221) Data 0.040 (0.062) Loss 2.5309 (2.5075) Prec@1 45.703 (43.628) Prec@5 66.797 (69.348)
Epoch: [32][800/5005] Time 0.200 (0.221) Data 0.051 (0.062) Loss 2.3903 (2.5068) Prec@1 41.406 (43.648) Prec@5 71.094 (69.345)
Epoch: [32][810/5005] Time 0.203 (0.221) Data 0.044 (0.062) Loss 2.6589 (2.5072) Prec@1 39.453 (43.645) Prec@5 67.188 (69.338)
Epoch: [32][820/5005] Time 0.207 (0.221) Data 0.051 (0.062) Loss 2.7181 (2.5077) Prec@1 39.844 (43.633) Prec@5 67.188 (69.335)
Epoch: [32][830/5005] Time 0.206 (0.221) Data 0.048 (0.062) Loss 2.4027 (2.5077) Prec@1 44.141 (43.630) Prec@5 69.531 (69.339)
Epoch: [32][840/5005] Time 0.209 (0.221) Data 0.069 (0.062) Loss 2.4980 (2.5080) Prec@1 42.578 (43.629) Prec@5 68.750 (69.348)
Epoch: [32][850/5005] Time 0.208 (0.220) Data 0.048 (0.062) Loss 2.6611 (2.5075) Prec@1 41.016 (43.645) Prec@5 66.406 (69.350)
Epoch: [32][860/5005] Time 0.205 (0.220) Data 0.048 (0.062) Loss 2.4603 (2.5073) Prec@1 45.703 (43.655) Prec@5 70.703 (69.349)
Epoch: [32][870/5005] Time 0.210 (0.220) Data 0.045 (0.062) Loss 2.4906 (2.5065) Prec@1 41.406 (43.668) Prec@5 69.141 (69.361)
Epoch: [32][880/5005] Time 0.205 (0.220) Data 0.056 (0.062) Loss 2.4402 (2.5066) Prec@1 45.312 (43.666) Prec@5 67.969 (69.357)
Epoch: [32][890/5005] Time 0.214 (0.220) Data 0.041 (0.062) Loss 2.7906 (2.5064) Prec@1 38.672 (43.671) Prec@5 65.234 (69.361)
Epoch: [32][900/5005] Time 0.207 (0.221) Data 0.058 (0.063) Loss 2.4799 (2.5063) Prec@1 42.578 (43.664) Prec@5 70.312 (69.360)
Epoch: [32][910/5005] Time 0.205 (0.221) Data 0.057 (0.063) Loss 2.4218 (2.5063) Prec@1 48.438 (43.669) Prec@5 72.656 (69.357)
Epoch: [32][920/5005] Time 0.203 (0.222) Data 0.040 (0.064) Loss 2.3581 (2.5051) Prec@1 44.922 (43.697) Prec@5 73.438 (69.381)
Epoch: [32][930/5005] Time 0.509 (0.222) Data 0.422 (0.064) Loss 2.5037 (2.5046) Prec@1 41.797 (43.715) Prec@5 69.531 (69.391)
Epoch: [32][940/5005] Time 0.331 (0.222) Data 0.253 (0.065) Loss 2.3343 (2.5045) Prec@1 45.312 (43.721) Prec@5 72.266 (69.395)
Epoch: [32][950/5005] Time 0.213 (0.222) Data 0.040 (0.065) Loss 2.5459 (2.5053) Prec@1 44.922 (43.707) Prec@5 73.047 (69.385)
Epoch: [32][960/5005] Time 0.217 (0.222) Data 0.041 (0.065) Loss 2.7516 (2.5054) Prec@1 41.016 (43.703) Prec@5 64.453 (69.380)
Epoch: [32][970/5005] Time 0.200 (0.222) Data 0.050 (0.065) Loss 2.2644 (2.5052) Prec@1 50.000 (43.705) Prec@5 74.609 (69.391)
Epoch: [32][980/5005] Time 0.205 (0.222) Data 0.049 (0.065) Loss 2.3289 (2.5044) Prec@1 45.312 (43.714) Prec@5 74.219 (69.405)
Epoch: [32][990/5005] Time 0.211 (0.222) Data 0.042 (0.065) Loss 2.6551 (2.5050) Prec@1 40.234 (43.691) Prec@5 68.359 (69.400)
Epoch: [32][1000/5005] Time 0.210 (0.222) Data 0.042 (0.065) Loss 2.5933 (2.5050) Prec@1 48.047 (43.693) Prec@5 69.531 (69.399)
Epoch: [32][1010/5005] Time 0.213 (0.222) Data 0.043 (0.065) Loss 2.6639 (2.5048) Prec@1 40.625 (43.701) Prec@5 65.234 (69.399)
Epoch: [32][1020/5005] Time 0.217 (0.222) Data 0.040 (0.065) Loss 2.3848 (2.5049) Prec@1 46.875 (43.713) Prec@5 72.266 (69.389)
Epoch: [32][1030/5005] Time 0.214 (0.222) Data 0.042 (0.064) Loss 2.3524 (2.5041) Prec@1 45.703 (43.716) Prec@5 72.656 (69.399)
Epoch: [32][1040/5005] Time 0.212 (0.222) Data 0.044 (0.064) Loss 2.5612 (2.5039) Prec@1 39.844 (43.724) Prec@5 69.141 (69.398)
Epoch: [32][1050/5005] Time 0.211 (0.221) Data 0.042 (0.064) Loss 2.5932 (2.5042) Prec@1 41.797 (43.722) Prec@5 64.062 (69.384)
Epoch: [32][1060/5005] Time 0.213 (0.221) Data 0.045 (0.064) Loss 2.5847 (2.5044) Prec@1 45.312 (43.728) Prec@5 69.531 (69.388)
Epoch: [32][1070/5005] Time 0.209 (0.221) Data 0.039 (0.064) Loss 2.3992 (2.5044) Prec@1 47.266 (43.734) Prec@5 70.703 (69.388)
Epoch: [32][1080/5005] Time 0.210 (0.221) Data 0.039 (0.063) Loss 2.5983 (2.5044) Prec@1 41.797 (43.735) Prec@5 70.312 (69.393)
Epoch: [32][1090/5005] Time 0.200 (0.221) Data 0.047 (0.063) Loss 2.2911 (2.5037) Prec@1 46.484 (43.744) Prec@5 73.047 (69.405)
Epoch: [32][1100/5005] Time 0.207 (0.221) Data 0.053 (0.063) Loss 2.3215 (2.5036) Prec@1 46.875 (43.743) Prec@5 72.266 (69.400)
Epoch: [32][1110/5005] Time 0.193 (0.221) Data 0.044 (0.063) Loss 2.4247 (2.5036) Prec@1 42.578 (43.744) Prec@5 71.875 (69.400)
Epoch: [32][1120/5005] Time 0.210 (0.221) Data 0.045 (0.063) Loss 2.5056 (2.5029) Prec@1 44.531 (43.753) Prec@5 67.578 (69.414)
Epoch: [32][1130/5005] Time 0.217 (0.221) Data 0.046 (0.063) Loss 2.5671 (2.5035) Prec@1 42.578 (43.747) Prec@5 70.312 (69.409)
Epoch: [32][1140/5005] Time 0.209 (0.220) Data 0.045 (0.063) Loss 2.4524 (2.5026) Prec@1 49.219 (43.755) Prec@5 67.969 (69.422)
Epoch: [32][1150/5005] Time 0.211 (0.220) Data 0.045 (0.062) Loss 2.3555 (2.5021) Prec@1 42.969 (43.756) Prec@5 73.438 (69.427)
Epoch: [32][1160/5005] Time 0.206 (0.220) Data 0.044 (0.062) Loss 2.5205 (2.5019) Prec@1 43.359 (43.764) Prec@5 67.969 (69.423)
Epoch: [32][1170/5005] Time 0.207 (0.220) Data 0.041 (0.062) Loss 2.5160 (2.5017) Prec@1 42.578 (43.760) Prec@5 70.312 (69.427)
Epoch: [32][1180/5005] Time 0.221 (0.220) Data 0.133 (0.062) Loss 2.6662 (2.5020) Prec@1 44.141 (43.752) Prec@5 68.750 (69.426)
Epoch: [32][1190/5005] Time 0.204 (0.220) Data 0.047 (0.063) Loss 2.3529 (2.5014) Prec@1 45.312 (43.764) Prec@5 70.703 (69.438)
Epoch: [32][1200/5005] Time 0.196 (0.220) Data 0.052 (0.063) Loss 2.6801 (2.5015) Prec@1 41.406 (43.758) Prec@5 68.750 (69.434)
Epoch: [32][1210/5005] Time 0.213 (0.220) Data 0.051 (0.063) Loss 2.5775 (2.5017) Prec@1 41.797 (43.757) Prec@5 70.703 (69.438)
Epoch: [32][1220/5005] Time 0.212 (0.220) Data 0.042 (0.063) Loss 2.4626 (2.5019) Prec@1 46.875 (43.755) Prec@5 70.312 (69.438)
Epoch: [32][1230/5005] Time 0.197 (0.220) Data 0.050 (0.063) Loss 2.5679 (2.5018) Prec@1 45.703 (43.749) Prec@5 72.656 (69.441)
Epoch: [32][1240/5005] Time 0.389 (0.220) Data 0.302 (0.063) Loss 2.4468 (2.5016) Prec@1 45.703 (43.744) Prec@5 70.312 (69.447)
Epoch: [32][1250/5005] Time 0.201 (0.220) Data 0.051 (0.063) Loss 2.7320 (2.5020) Prec@1 39.844 (43.731) Prec@5 65.625 (69.435)
Epoch: [32][1260/5005] Time 0.207 (0.220) Data 0.046 (0.063) Loss 2.2832 (2.5016) Prec@1 45.703 (43.730) Prec@5 71.484 (69.447)
Epoch: [32][1270/5005] Time 0.208 (0.220) Data 0.039 (0.063) Loss 2.6091 (2.5022) Prec@1 43.359 (43.721) Prec@5 66.406 (69.434)
Epoch: [32][1280/5005] Time 0.202 (0.221) Data 0.050 (0.064) Loss 2.4185 (2.5026) Prec@1 44.531 (43.726) Prec@5 73.438 (69.431)
Epoch: [32][1290/5005] Time 0.202 (0.221) Data 0.046 (0.064) Loss 2.2441 (2.5022) Prec@1 48.438 (43.735) Prec@5 70.703 (69.431)
Epoch: [32][1300/5005] Time 0.207 (0.221) Data 0.040 (0.064) Loss 2.5190 (2.5021) Prec@1 43.359 (43.739) Prec@5 69.531 (69.434)
Epoch: [32][1310/5005] Time 0.202 (0.221) Data 0.060 (0.064) Loss 2.4286 (2.5022) Prec@1 44.531 (43.738) Prec@5 68.359 (69.428)
Epoch: [32][1320/5005] Time 0.227 (0.221) Data 0.141 (0.064) Loss 2.5855 (2.5020) Prec@1 42.188 (43.746) Prec@5 68.750 (69.435)
Epoch: [32][1330/5005] Time 0.207 (0.221) Data 0.057 (0.064) Loss 2.6027 (2.5024) Prec@1 43.359 (43.743) Prec@5 68.750 (69.424)
Epoch: [32][1340/5005] Time 0.205 (0.220) Data 0.040 (0.064) Loss 2.5442 (2.5025) Prec@1 40.234 (43.740) Prec@5 67.969 (69.424)
Epoch: [32][1350/5005] Time 0.593 (0.221) Data 0.504 (0.065) Loss 2.8868 (2.5030) Prec@1 39.062 (43.734) Prec@5 67.188 (69.418)
Epoch: [32][1360/5005] Time 0.199 (0.221) Data 0.048 (0.065) Loss 2.2916 (2.5027) Prec@1 47.656 (43.745) Prec@5 71.875 (69.424)
Epoch: [32][1370/5005] Time 0.200 (0.221) Data 0.046 (0.065) Loss 2.6397 (2.5024) Prec@1 40.625 (43.745) Prec@5 66.406 (69.424)
Epoch: [32][1380/5005] Time 0.207 (0.221) Data 0.042 (0.065) Loss 2.4849 (2.5024) Prec@1 45.703 (43.752) Prec@5 71.484 (69.428)
Epoch: [32][1390/5005] Time 0.207 (0.221) Data 0.050 (0.065) Loss 2.4659 (2.5023) Prec@1 43.359 (43.757) Prec@5 70.312 (69.432)
Epoch: [32][1400/5005] Time 0.198 (0.221) Data 0.049 (0.065) Loss 2.4851 (2.5015) Prec@1 44.922 (43.771) Prec@5 67.969 (69.446)
Epoch: [32][1410/5005] Time 0.207 (0.221) Data 0.046 (0.065) Loss 2.4558 (2.5013) Prec@1 44.922 (43.775) Prec@5 71.094 (69.453)
Epoch: [32][1420/5005] Time 0.354 (0.221) Data 0.274 (0.065) Loss 2.8655 (2.5015) Prec@1 37.109 (43.767) Prec@5 63.281 (69.455)
Epoch: [32][1430/5005] Time 0.211 (0.221) Data 0.046 (0.065) Loss 2.1737 (2.5012) Prec@1 49.609 (43.778) Prec@5 74.609 (69.461)
Epoch: [32][1440/5005] Time 0.200 (0.221) Data 0.046 (0.065) Loss 2.2306 (2.5010) Prec@1 48.438 (43.772) Prec@5 73.828 (69.465)
Epoch: [32][1450/5005] Time 0.196 (0.221) Data 0.047 (0.065) Loss 2.3849 (2.5007) Prec@1 47.656 (43.779) Prec@5 71.094 (69.467)
Epoch: [32][1460/5005] Time 0.203 (0.221) Data 0.044 (0.065) Loss 2.6443 (2.5006) Prec@1 39.062 (43.791) Prec@5 67.969 (69.475)
Epoch: [32][1470/5005] Time 0.205 (0.221) Data 0.042 (0.065) Loss 2.4941 (2.5008) Prec@1 41.797 (43.785) Prec@5 67.578 (69.467)
Epoch: [32][1480/5005] Time 0.214 (0.221) Data 0.046 (0.066) Loss 2.3106 (2.5010) Prec@1 49.609 (43.787) Prec@5 71.484 (69.463)
Epoch: [32][1490/5005] Time 0.197 (0.221) Data 0.052 (0.065) Loss 2.7052 (2.5010) Prec@1 38.672 (43.788) Prec@5 66.016 (69.465)
Epoch: [32][1500/5005] Time 0.201 (0.221) Data 0.052 (0.066) Loss 2.4911 (2.5008) Prec@1 44.531 (43.794) Prec@5 68.750 (69.475)
Epoch: [32][1510/5005] Time 0.535 (0.221) Data 0.448 (0.066) Loss 2.3854 (2.5003) Prec@1 41.406 (43.805) Prec@5 70.703 (69.479)
Epoch: [32][1520/5005] Time 0.207 (0.221) Data 0.039 (0.066) Loss 2.5885 (2.5001) Prec@1 42.188 (43.809) Prec@5 68.750 (69.482)
Epoch: [32][1530/5005] Time 0.196 (0.221) Data 0.053 (0.066) Loss 2.6301 (2.5002) Prec@1 42.969 (43.805) Prec@5 69.922 (69.476)
Epoch: [32][1540/5005] Time 0.198 (0.221) Data 0.046 (0.066) Loss 2.6795 (2.5003) Prec@1 40.234 (43.801) Prec@5 65.234 (69.472)
Epoch: [32][1550/5005] Time 0.214 (0.221) Data 0.044 (0.066) Loss 2.4557 (2.5000) Prec@1 45.703 (43.808) Prec@5 70.703 (69.475)
Epoch: [32][1560/5005] Time 0.211 (0.222) Data 0.041 (0.067) Loss 2.2743 (2.5001) Prec@1 48.047 (43.808) Prec@5 71.484 (69.477)
Epoch: [32][1570/5005] Time 0.195 (0.221) Data 0.044 (0.067) Loss 2.2877 (2.4996) Prec@1 48.828 (43.808) Prec@5 71.875 (69.482)
Epoch: [32][1580/5005] Time 0.209 (0.222) Data 0.050 (0.067) Loss 2.3561 (2.4998) Prec@1 41.797 (43.797) Prec@5 73.438 (69.483)
Epoch: [32][1590/5005] Time 0.208 (0.222) Data 0.044 (0.067) Loss 2.4436 (2.4996) Prec@1 44.531 (43.799) Prec@5 68.750 (69.486)
Epoch: [32][1600/5005] Time 0.195 (0.222) Data 0.051 (0.067) Loss 2.5472 (2.4995) Prec@1 44.141 (43.803) Prec@5 67.578 (69.481)
Epoch: [32][1610/5005] Time 0.203 (0.222) Data 0.044 (0.067) Loss 2.5690 (2.4994) Prec@1 41.797 (43.807) Prec@5 69.141 (69.486)
Epoch: [32][1620/5005] Time 0.214 (0.222) Data 0.043 (0.067) Loss 2.6368 (2.4990) Prec@1 40.625 (43.810) Prec@5 69.141 (69.490)
Epoch: [32][1630/5005] Time 0.201 (0.222) Data 0.045 (0.067) Loss 2.4265 (2.4988) Prec@1 42.188 (43.818) Prec@5 70.312 (69.491)
Epoch: [32][1640/5005] Time 0.199 (0.222) Data 0.052 (0.067) Loss 2.5603 (2.4989) Prec@1 46.484 (43.815) Prec@5 66.797 (69.490)
Epoch: [32][1650/5005] Time 0.393 (0.222) Data 0.308 (0.067) Loss 2.5183 (2.4989) Prec@1 45.312 (43.823) Prec@5 64.844 (69.493)
Epoch: [32][1660/5005] Time 0.213 (0.222) Data 0.049 (0.067) Loss 2.4239 (2.4981) Prec@1 47.656 (43.846) Prec@5 68.750 (69.500)
Epoch: [32][1670/5005] Time 0.214 (0.222) Data 0.041 (0.067) Loss 2.3059 (2.4981) Prec@1 47.656 (43.852) Prec@5 71.875 (69.501)
Epoch: [32][1680/5005] Time 0.209 (0.222) Data 0.041 (0.067) Loss 2.5157 (2.4981) Prec@1 48.047 (43.856) Prec@5 68.750 (69.498)
Epoch: [32][1690/5005] Time 0.264 (0.222) Data 0.186 (0.067) Loss 2.3915 (2.4976) Prec@1 51.172 (43.866) Prec@5 69.531 (69.503)
Epoch: [32][1700/5005] Time 0.199 (0.222) Data 0.048 (0.067) Loss 2.4001 (2.4970) Prec@1 45.312 (43.875) Prec@5 71.484 (69.507)
Epoch: [32][1710/5005] Time 0.206 (0.222) Data 0.081 (0.067) Loss 2.3804 (2.4964) Prec@1 43.359 (43.881) Prec@5 72.266 (69.520)
Epoch: [32][1720/5005] Time 0.205 (0.222) Data 0.043 (0.067) Loss 2.5755 (2.4963) Prec@1 42.188 (43.877) Prec@5 69.531 (69.522)
Epoch: [32][1730/5005] Time 0.210 (0.222) Data 0.043 (0.067) Loss 2.5638 (2.4963) Prec@1 37.109 (43.874) Prec@5 69.922 (69.525)
Epoch: [32][1740/5005] Time 0.203 (0.222) Data 0.039 (0.067) Loss 2.6790 (2.4961) Prec@1 41.016 (43.880) Prec@5 67.188 (69.529)
Epoch: [32][1750/5005] Time 0.204 (0.222) Data 0.046 (0.067) Loss 2.4745 (2.4959) Prec@1 44.141 (43.885) Prec@5 69.141 (69.537)
Epoch: [32][1760/5005] Time 0.216 (0.222) Data 0.046 (0.067) Loss 2.2160 (2.4955) Prec@1 51.562 (43.891) Prec@5 74.609 (69.543)
Epoch: [32][1770/5005] Time 0.207 (0.222) Data 0.046 (0.067) Loss 2.4667 (2.4954) Prec@1 42.188 (43.889) Prec@5 69.922 (69.544)
Epoch: [32][1780/5005] Time 0.201 (0.222) Data 0.047 (0.067) Loss 2.2829 (2.4952) Prec@1 47.266 (43.883) Prec@5 72.656 (69.543)
Epoch: [32][1790/5005] Time 0.274 (0.222) Data 0.191 (0.067) Loss 2.3667 (2.4948) Prec@1 43.750 (43.890) Prec@5 67.188 (69.548)
Epoch: [32][1800/5005] Time 0.218 (0.222) Data 0.050 (0.068) Loss 2.4956 (2.4946) Prec@1 46.875 (43.896) Prec@5 70.312 (69.557)
Epoch: [32][1810/5005] Time 0.208 (0.222) Data 0.045 (0.067) Loss 2.4046 (2.4944) Prec@1 46.094 (43.901) Prec@5 73.438 (69.560)
Epoch: [32][1820/5005] Time 0.209 (0.222) Data 0.045 (0.068) Loss 2.5367 (2.4943) Prec@1 42.578 (43.904) Prec@5 68.750 (69.558)
Epoch: [32][1830/5005] Time 0.210 (0.222) Data 0.047 (0.068) Loss 2.3167 (2.4940) Prec@1 46.875 (43.907) Prec@5 71.094 (69.563)
Epoch: [32][1840/5005] Time 0.203 (0.222) Data 0.043 (0.068) Loss 2.6146 (2.4938) Prec@1 41.016 (43.911) Prec@5 67.969 (69.568)
Epoch: [32][1850/5005] Time 0.203 (0.222) Data 0.046 (0.068) Loss 2.4849 (2.4935) Prec@1 41.406 (43.912) Prec@5 71.484 (69.577)
Epoch: [32][1860/5005] Time 0.207 (0.222) Data 0.047 (0.068) Loss 2.4037 (2.4935) Prec@1 43.359 (43.916) Prec@5 71.875 (69.578)
Epoch: [32][1870/5005] Time 0.207 (0.222) Data 0.122 (0.068) Loss 2.6657 (2.4937) Prec@1 39.453 (43.913) Prec@5 67.969 (69.580)
Epoch: [32][1880/5005] Time 0.196 (0.222) Data 0.043 (0.068) Loss 2.5629 (2.4938) Prec@1 43.359 (43.912) Prec@5 67.969 (69.579)
Epoch: [32][1890/5005] Time 0.201 (0.222) Data 0.058 (0.068) Loss 2.5238 (2.4937) Prec@1 45.703 (43.919) Prec@5 69.141 (69.581)
Epoch: [32][1900/5005] Time 0.418 (0.222) Data 0.338 (0.068) Loss 2.4889 (2.4940) Prec@1 43.750 (43.916) Prec@5 71.094 (69.576)
Epoch: [32][1910/5005] Time 0.197 (0.222) Data 0.042 (0.069) Loss 2.4208 (2.4942) Prec@1 44.922 (43.912) Prec@5 72.656 (69.572)
Epoch: [32][1920/5005] Time 0.439 (0.222) Data 0.349 (0.069) Loss 2.3461 (2.4940) Prec@1 48.828 (43.909) Prec@5 72.266 (69.573)
Epoch: [32][1930/5005] Time 0.203 (0.222) Data 0.049 (0.069) Loss 2.3154 (2.4938) Prec@1 50.000 (43.914) Prec@5 71.875 (69.577)
Epoch: [32][1940/5005] Time 0.209 (0.222) Data 0.040 (0.069) Loss 2.4408 (2.4936) Prec@1 44.922 (43.916) Prec@5 69.922 (69.578)
Epoch: [32][1950/5005] Time 0.208 (0.222) Data 0.041 (0.068) Loss 2.4427 (2.4934) Prec@1 41.406 (43.917) Prec@5 73.047 (69.583)
Epoch: [32][1960/5005] Time 0.203 (0.222) Data 0.039 (0.069) Loss 2.3219 (2.4931) Prec@1 44.531 (43.922) Prec@5 71.875 (69.591)
Epoch: [32][1970/5005] Time 0.215 (0.222) Data 0.047 (0.068) Loss 2.4290 (2.4933) Prec@1 45.312 (43.915) Prec@5 67.969 (69.584)
Epoch: [32][1980/5005] Time 0.207 (0.222) Data 0.041 (0.069) Loss 2.1880 (2.4931) Prec@1 49.609 (43.923) Prec@5 73.438 (69.587)
Epoch: [32][1990/5005] Time 0.199 (0.222) Data 0.047 (0.068) Loss 2.2762 (2.4927) Prec@1 49.219 (43.936) Prec@5 74.609 (69.593)
Epoch: [32][2000/5005] Time 0.193 (0.222) Data 0.063 (0.069) Loss 2.3099 (2.4930) Prec@1 50.000 (43.930) Prec@5 71.484 (69.589)
Epoch: [32][2010/5005] Time 0.197 (0.222) Data 0.050 (0.069) Loss 2.3929 (2.4931) Prec@1 43.750 (43.926) Prec@5 71.094 (69.585)
Epoch: [32][2020/5005] Time 0.202 (0.222) Data 0.043 (0.069) Loss 2.4877 (2.4932) Prec@1 41.016 (43.919) Prec@5 69.922 (69.581)
Epoch: [32][2030/5005] Time 0.205 (0.222) Data 0.045 (0.069) Loss 2.5133 (2.4933) Prec@1 44.141 (43.921) Prec@5 69.922 (69.579)
Epoch: [32][2040/5005] Time 0.195 (0.222) Data 0.052 (0.069) Loss 2.2900 (2.4929) Prec@1 45.312 (43.922) Prec@5 73.438 (69.587)
Epoch: [32][2050/5005] Time 0.197 (0.222) Data 0.047 (0.069) Loss 2.6054 (2.4927) Prec@1 44.141 (43.928) Prec@5 69.922 (69.592)
Epoch: [32][2060/5005] Time 0.217 (0.222) Data 0.045 (0.069) Loss 2.5043 (2.4927) Prec@1 44.922 (43.925) Prec@5 66.406 (69.592)
Epoch: [32][2070/5005] Time 0.216 (0.222) Data 0.134 (0.069) Loss 2.7121 (2.4930) Prec@1 42.969 (43.919) Prec@5 66.797 (69.590)
Epoch: [32][2080/5005] Time 0.192 (0.222) Data 0.048 (0.069) Loss 2.4830 (2.4930) Prec@1 44.922 (43.923) Prec@5 72.656 (69.591)
Epoch: [32][2090/5005] Time 0.207 (0.222) Data 0.047 (0.069) Loss 2.4205 (2.4925) Prec@1 46.484 (43.925) Prec@5 69.922 (69.599)
Epoch: [32][2100/5005] Time 0.199 (0.222) Data 0.042 (0.069) Loss 2.5297 (2.4923) Prec@1 38.672 (43.928) Prec@5 70.312 (69.603)
Epoch: [32][2110/5005] Time 0.194 (0.222) Data 0.055 (0.069) Loss 2.4214 (2.4924) Prec@1 44.922 (43.928) Prec@5 69.922 (69.601)
Epoch: [32][2120/5005] Time 0.202 (0.223) Data 0.047 (0.069) Loss 2.5479 (2.4923) Prec@1 45.312 (43.929) Prec@5 68.750 (69.607)
Epoch: [32][2130/5005] Time 0.199 (0.222) Data 0.038 (0.069) Loss 2.3370 (2.4919) Prec@1 48.438 (43.935) Prec@5 71.875 (69.616)
Epoch: [32][2140/5005] Time 0.199 (0.222) Data 0.048 (0.069) Loss 2.3071 (2.4920) Prec@1 42.188 (43.933) Prec@5 71.094 (69.614)
Epoch: [32][2150/5005] Time 0.197 (0.222) Data 0.051 (0.069) Loss 2.2544 (2.4919) Prec@1 49.609 (43.937) Prec@5 73.828 (69.617)
Epoch: [32][2160/5005] Time 0.205 (0.222) Data 0.045 (0.070) Loss 2.4954 (2.4917) Prec@1 38.281 (43.935) Prec@5 69.141 (69.621)
Epoch: [32][2170/5005] Time 0.203 (0.222) Data 0.046 (0.070) Loss 2.3199 (2.4914) Prec@1 44.922 (43.943) Prec@5 72.266 (69.628)
Epoch: [32][2180/5005] Time 0.306 (0.222) Data 0.218 (0.070) Loss 2.4739 (2.4914) Prec@1 46.094 (43.944) Prec@5 69.141 (69.627)
Epoch: [32][2190/5005] Time 0.213 (0.223) Data 0.042 (0.070) Loss 2.6528 (2.4915) Prec@1 41.797 (43.943) Prec@5 67.969 (69.629)
Epoch: [32][2200/5005] Time 0.197 (0.223) Data 0.053 (0.070) Loss 2.5037 (2.4916) Prec@1 45.312 (43.939) Prec@5 68.750 (69.626)
Epoch: [32][2210/5005] Time 0.200 (0.223) Data 0.055 (0.070) Loss 2.5427 (2.4919) Prec@1 41.406 (43.936) Prec@5 66.406 (69.619)
Epoch: [32][2220/5005] Time 0.209 (0.223) Data 0.043 (0.070) Loss 2.5359 (2.4917) Prec@1 43.750 (43.942) Prec@5 69.922 (69.621)
Epoch: [32][2230/5005] Time 0.203 (0.223) Data 0.049 (0.070) Loss 2.4270 (2.4918) Prec@1 46.094 (43.942) Prec@5 68.750 (69.617)
Epoch: [32][2240/5005] Time 0.210 (0.223) Data 0.041 (0.070) Loss 2.4352 (2.4919) Prec@1 44.531 (43.937) Prec@5 69.922 (69.616)
Epoch: [32][2250/5005] Time 0.201 (0.223) Data 0.044 (0.070) Loss 2.3010 (2.4918) Prec@1 45.703 (43.941) Prec@5 73.438 (69.617)
Epoch: [32][2260/5005] Time 0.194 (0.223) Data 0.049 (0.070) Loss 2.5075 (2.4916) Prec@1 39.062 (43.945) Prec@5 69.531 (69.618)
Epoch: [32][2270/5005] Time 0.210 (0.223) Data 0.043 (0.070) Loss 2.5588 (2.4914) Prec@1 43.359 (43.949) Prec@5 65.625 (69.622)
Epoch: [32][2280/5005] Time 0.518 (0.223) Data 0.434 (0.070) Loss 2.6186 (2.4913) Prec@1 45.703 (43.955) Prec@5 68.359 (69.626)
Epoch: [32][2290/5005] Time 0.195 (0.223) Data 0.055 (0.070) Loss 2.4439 (2.4913) Prec@1 47.656 (43.952) Prec@5 70.312 (69.625)
Epoch: [32][2300/5005] Time 0.214 (0.223) Data 0.039 (0.070) Loss 2.3831 (2.4911) Prec@1 44.141 (43.960) Prec@5 70.703 (69.627)
Epoch: [32][2310/5005] Time 0.198 (0.223) Data 0.038 (0.070) Loss 2.3054 (2.4910) Prec@1 48.828 (43.965) Prec@5 71.484 (69.627)
Epoch: [32][2320/5005] Time 0.205 (0.222) Data 0.043 (0.070) Loss 2.4617 (2.4909) Prec@1 42.578 (43.961) Prec@5 71.875 (69.627)
Epoch: [32][2330/5005] Time 0.205 (0.222) Data 0.046 (0.070) Loss 2.3572 (2.4906) Prec@1 48.828 (43.969) Prec@5 73.828 (69.633)
Epoch: [32][2340/5005] Time 0.196 (0.222) Data 0.093 (0.070) Loss 2.5171 (2.4903) Prec@1 41.406 (43.974) Prec@5 69.531 (69.635)
Epoch: [32][2350/5005] Time 0.205 (0.222) Data 0.048 (0.070) Loss 2.4462 (2.4902) Prec@1 41.797 (43.976) Prec@5 70.703 (69.639)
Epoch: [32][2360/5005] Time 0.212 (0.223) Data 0.041 (0.070) Loss 2.5478 (2.4903) Prec@1 44.922 (43.975) Prec@5 69.531 (69.638)
Epoch: [32][2370/5005] Time 0.198 (0.223) Data 0.044 (0.070) Loss 2.4795 (2.4902) Prec@1 40.234 (43.973) Prec@5 68.359 (69.636)
Epoch: [32][2380/5005] Time 0.499 (0.223) Data 0.417 (0.070) Loss 2.4940 (2.4901) Prec@1 43.359 (43.975) Prec@5 68.359 (69.639)
Epoch: [32][2390/5005] Time 0.197 (0.223) Data 0.049 (0.070) Loss 2.5287 (2.4900) Prec@1 43.359 (43.979) Prec@5 71.484 (69.642)
Epoch: [32][2400/5005] Time 0.205 (0.223) Data 0.043 (0.070) Loss 2.5392 (2.4899) Prec@1 41.797 (43.976) Prec@5 73.828 (69.648)
Epoch: [32][2410/5005] Time 0.209 (0.223) Data 0.044 (0.070) Loss 2.7772 (2.4899) Prec@1 37.500 (43.977) Prec@5 66.797 (69.647)
Epoch: [32][2420/5005] Time 0.204 (0.223) Data 0.044 (0.070) Loss 2.5638 (2.4898) Prec@1 42.188 (43.978) Prec@5 68.750 (69.649)
Epoch: [32][2430/5005] Time 0.197 (0.223) Data 0.047 (0.070) Loss 2.3065 (2.4898) Prec@1 46.094 (43.979) Prec@5 69.922 (69.644)
Epoch: [32][2440/5005] Time 0.205 (0.223) Data 0.049 (0.070) Loss 2.2188 (2.4897) Prec@1 51.172 (43.985) Prec@5 77.734 (69.649)
Epoch: [32][2450/5005] Time 0.196 (0.223) Data 0.059 (0.071) Loss 2.3641 (2.4894) Prec@1 47.266 (43.992) Prec@5 72.656 (69.655)
Epoch: [32][2460/5005] Time 0.223 (0.222) Data 0.136 (0.070) Loss 2.4638 (2.4894) Prec@1 45.312 (43.992) Prec@5 70.703 (69.656)
Epoch: [32][2470/5005] Time 0.353 (0.223) Data 0.264 (0.071) Loss 2.3526 (2.4892) Prec@1 48.438 (43.999) Prec@5 69.922 (69.659)
Epoch: [32][2480/5005] Time 0.263 (0.223) Data 0.179 (0.071) Loss 2.6139 (2.4893) Prec@1 40.625 (43.998) Prec@5 68.750 (69.659)
Epoch: [32][2490/5005] Time 0.303 (0.223) Data 0.221 (0.071) Loss 2.3099 (2.4893) Prec@1 48.047 (43.995) Prec@5 73.047 (69.659)
Epoch: [32][2500/5005] Time 0.275 (0.223) Data 0.196 (0.071) Loss 2.4469 (2.4892) Prec@1 47.266 (43.996) Prec@5 69.141 (69.660)
Epoch: [32][2510/5005] Time 0.197 (0.223) Data 0.053 (0.071) Loss 2.7640 (2.4894) Prec@1 41.406 (43.990) Prec@5 68.359 (69.659)
Epoch: [32][2520/5005] Time 0.198 (0.223) Data 0.044 (0.071) Loss 2.2910 (2.4892) Prec@1 47.656 (43.995) Prec@5 73.438 (69.663)
Epoch: [32][2530/5005] Time 0.201 (0.223) Data 0.045 (0.071) Loss 2.7566 (2.4893) Prec@1 41.016 (43.990) Prec@5 64.453 (69.658)
Epoch: [32][2540/5005] Time 0.203 (0.223) Data 0.043 (0.071) Loss 2.4539 (2.4893) Prec@1 42.188 (43.992) Prec@5 70.312 (69.658)
Epoch: [32][2550/5005] Time 0.198 (0.223) Data 0.040 (0.071) Loss 2.4529 (2.4893) Prec@1 45.312 (43.996) Prec@5 70.703 (69.656)
Epoch: [32][2560/5005] Time 0.196 (0.223) Data 0.048 (0.071) Loss 2.6319 (2.4894) Prec@1 41.797 (44.000) Prec@5 65.625 (69.655)
Epoch: [32][2570/5005] Time 0.198 (0.223) Data 0.052 (0.071) Loss 2.5742 (2.4896) Prec@1 40.625 (43.998) Prec@5 68.750 (69.654)
Epoch: [32][2580/5005] Time 0.221 (0.223) Data 0.132 (0.071) Loss 2.4532 (2.4899) Prec@1 46.484 (43.992) Prec@5 66.016 (69.646)
Epoch: [32][2590/5005] Time 0.195 (0.223) Data 0.044 (0.071) Loss 2.4836 (2.4896) Prec@1 46.484 (44.004) Prec@5 70.312 (69.645)
Epoch: [32][2600/5005] Time 0.207 (0.223) Data 0.044 (0.071) Loss 2.4582 (2.4898) Prec@1 45.312 (44.002) Prec@5 70.703 (69.644)
Epoch: [32][2610/5005] Time 0.215 (0.223) Data 0.043 (0.071) Loss 2.6769 (2.4896) Prec@1 40.234 (44.007) Prec@5 66.016 (69.644)
Epoch: [32][2620/5005] Time 0.208 (0.223) Data 0.045 (0.071) Loss 2.5797 (2.4896) Prec@1 39.453 (44.006) Prec@5 65.234 (69.641)
Epoch: [32][2630/5005] Time 0.211 (0.223) Data 0.049 (0.072) Loss 2.6055 (2.4900) Prec@1 42.578 (44.005) Prec@5 69.531 (69.636)
Epoch: [32][2640/5005] Time 0.202 (0.223) Data 0.045 (0.072) Loss 2.7061 (2.4899) Prec@1 41.016 (44.005) Prec@5 64.453 (69.639)
Epoch: [32][2650/5005] Time 0.201 (0.223) Data 0.045 (0.072) Loss 2.6920 (2.4900) Prec@1 42.578 (44.008) Prec@5 68.359 (69.638)
Epoch: [32][2660/5005] Time 0.197 (0.223) Data 0.057 (0.072) Loss 2.4759 (2.4898) Prec@1 37.891 (44.008) Prec@5 70.312 (69.638)
Epoch: [32][2670/5005] Time 0.290 (0.223) Data 0.206 (0.072) Loss 2.1864 (2.4896) Prec@1 49.219 (44.013) Prec@5 73.438 (69.640)
Epoch: [32][2680/5005] Time 0.616 (0.223) Data 0.532 (0.072) Loss 2.3986 (2.4896) Prec@1 47.266 (44.012) Prec@5 73.438 (69.639)
Epoch: [32][2690/5005] Time 0.190 (0.223) Data 0.050 (0.072) Loss 2.2797 (2.4894) Prec@1 50.000 (44.014) Prec@5 72.656 (69.638)
Epoch: [32][2700/5005] Time 0.201 (0.223) Data 0.044 (0.072) Loss 2.3753 (2.4896) Prec@1 44.922 (44.007) Prec@5 71.484 (69.638)
Epoch: [32][2710/5005] Time 0.198 (0.223) Data 0.045 (0.072) Loss 2.3821 (2.4897) Prec@1 47.266 (44.006) Prec@5 73.047 (69.635)
Epoch: [32][2720/5005] Time 0.194 (0.223) Data 0.060 (0.072) Loss 2.4394 (2.4896) Prec@1 49.609 (44.008) Prec@5 71.875 (69.634)
Epoch: [32][2730/5005] Time 0.236 (0.223) Data 0.157 (0.072) Loss 2.5141 (2.4895) Prec@1 45.703 (44.014) Prec@5 70.312 (69.635)
Epoch: [32][2740/5005] Time 0.203 (0.223) Data 0.047 (0.072) Loss 2.4261 (2.4893) Prec@1 42.969 (44.016) Prec@5 69.922 (69.637)
Epoch: [32][2750/5005] Time 0.205 (0.223) Data 0.047 (0.072) Loss 2.4775 (2.4892) Prec@1 46.094 (44.022) Prec@5 68.359 (69.639)
Epoch: [32][2760/5005] Time 0.201 (0.223) Data 0.042 (0.072) Loss 2.5824 (2.4890) Prec@1 40.234 (44.029) Prec@5 68.750 (69.645)
Epoch: [32][2770/5005] Time 0.210 (0.223) Data 0.056 (0.072) Loss 2.3417 (2.4890) Prec@1 46.094 (44.028) Prec@5 71.875 (69.646)
Epoch: [32][2780/5005] Time 0.207 (0.223) Data 0.048 (0.072) Loss 2.8081 (2.4890) Prec@1 36.328 (44.031) Prec@5 65.625 (69.650)
Epoch: [32][2790/5005] Time 0.196 (0.223) Data 0.044 (0.072) Loss 2.8535 (2.4891) Prec@1 39.453 (44.035) Prec@5 62.500 (69.650)
Epoch: [32][2800/5005] Time 0.445 (0.223) Data 0.366 (0.072) Loss 2.2704 (2.4888) Prec@1 46.875 (44.040) Prec@5 73.438 (69.656)
Epoch: [32][2810/5005] Time 0.205 (0.223) Data 0.046 (0.073) Loss 2.6698 (2.4888) Prec@1 41.016 (44.036) Prec@5 66.406 (69.658)
Epoch: [32][2820/5005] Time 0.201 (0.223) Data 0.041 (0.072) Loss 2.1541 (2.4886) Prec@1 44.531 (44.035) Prec@5 74.609 (69.662)
Epoch: [32][2830/5005] Time 0.202 (0.223) Data 0.045 (0.073) Loss 2.5284 (2.4887) Prec@1 42.969 (44.033) Prec@5 67.188 (69.659)
Epoch: [32][2840/5005] Time 0.199 (0.223) Data 0.045 (0.073) Loss 2.4719 (2.4885) Prec@1 41.406 (44.035) Prec@5 67.578 (69.663)
Epoch: [32][2850/5005] Time 0.206 (0.223) Data 0.053 (0.073) Loss 2.5368 (2.4884) Prec@1 46.484 (44.038) Prec@5 67.969 (69.665)
Epoch: [32][2860/5005] Time 0.199 (0.223) Data 0.049 (0.073) Loss 2.4529 (2.4885) Prec@1 43.750 (44.035) Prec@5 69.531 (69.667)
Epoch: [32][2870/5005] Time 0.200 (0.223) Data 0.052 (0.073) Loss 2.4794 (2.4882) Prec@1 50.000 (44.045) Prec@5 69.141 (69.676)
Epoch: [32][2880/5005] Time 0.196 (0.223) Data 0.047 (0.073) Loss 2.4759 (2.4881) Prec@1 41.406 (44.043) Prec@5 70.703 (69.675)
Epoch: [32][2890/5005] Time 0.270 (0.223) Data 0.181 (0.073) Loss 2.4974 (2.4880) Prec@1 41.016 (44.048) Prec@5 69.922 (69.676)
Epoch: [32][2900/5005] Time 0.206 (0.223) Data 0.047 (0.073) Loss 2.2303 (2.4878) Prec@1 46.484 (44.052) Prec@5 74.609 (69.682)
Epoch: [32][2910/5005] Time 0.191 (0.223) Data 0.066 (0.073) Loss 2.5489 (2.4878) Prec@1 41.016 (44.050) Prec@5 69.141 (69.681)
Epoch: [32][2920/5005] Time 0.199 (0.223) Data 0.040 (0.073) Loss 2.5373 (2.4878) Prec@1 40.234 (44.049) Prec@5 67.578 (69.681)
Epoch: [32][2930/5005] Time 0.200 (0.223) Data 0.040 (0.073) Loss 2.5922 (2.4878) Prec@1 40.625 (44.052) Prec@5 70.312 (69.681)
Epoch: [32][2940/5005] Time 0.351 (0.223) Data 0.264 (0.073) Loss 2.5111 (2.4876) Prec@1 42.969 (44.054) Prec@5 71.875 (69.685)
Epoch: [32][2950/5005] Time 0.201 (0.223) Data 0.044 (0.073) Loss 2.5931 (2.4874) Prec@1 39.844 (44.055) Prec@5 71.875 (69.690)
Epoch: [32][2960/5005] Time 0.200 (0.223) Data 0.113 (0.073) Loss 2.4789 (2.4872) Prec@1 43.750 (44.064) Prec@5 69.141 (69.694)
Epoch: [32][2970/5005] Time 0.356 (0.223) Data 0.277 (0.073) Loss 2.5594 (2.4870) Prec@1 41.406 (44.065) Prec@5 67.969 (69.697)
Epoch: [32][2980/5005] Time 0.193 (0.223) Data 0.046 (0.073) Loss 2.6490 (2.4871) Prec@1 37.891 (44.061) Prec@5 66.406 (69.697)
Epoch: [32][2990/5005] Time 0.215 (0.223) Data 0.045 (0.073) Loss 2.4305 (2.4871) Prec@1 44.531 (44.054) Prec@5 68.750 (69.696)
Epoch: [32][3000/5005] Time 0.203 (0.223) Data 0.040 (0.073) Loss 2.4073 (2.4869) Prec@1 44.531 (44.056) Prec@5 71.094 (69.701)
Epoch: [32][3010/5005] Time 0.185 (0.223) Data 0.096 (0.073) Loss 2.3229 (2.4869) Prec@1 46.875 (44.055) Prec@5 71.484 (69.703)
Epoch: [32][3020/5005] Time 0.429 (0.223) Data 0.350 (0.073) Loss 2.5270 (2.4869) Prec@1 40.625 (44.055) Prec@5 67.969 (69.702)
Epoch: [32][3030/5005] Time 0.195 (0.223) Data 0.057 (0.073) Loss 2.3693 (2.4870) Prec@1 48.047 (44.055) Prec@5 73.047 (69.705)
Epoch: [32][3040/5005] Time 0.196 (0.223) Data 0.047 (0.073) Loss 2.1613 (2.4867) Prec@1 49.219 (44.063) Prec@5 75.000 (69.710)
Epoch: [32][3050/5005] Time 0.195 (0.223) Data 0.046 (0.073) Loss 2.4359 (2.4867) Prec@1 43.750 (44.062) Prec@5 70.312 (69.710)
Epoch: [32][3060/5005] Time 0.633 (0.223) Data 0.551 (0.074) Loss 2.2456 (2.4864) Prec@1 50.781 (44.063) Prec@5 74.609 (69.715)
Epoch: [32][3070/5005] Time 0.199 (0.223) Data 0.045 (0.074) Loss 2.3959 (2.4864) Prec@1 44.141 (44.064) Prec@5 69.922 (69.714)
Epoch: [32][3080/5005] Time 0.195 (0.223) Data 0.052 (0.074) Loss 2.4524 (2.4865) Prec@1 44.922 (44.062) Prec@5 66.406 (69.709)
Epoch: [32][3090/5005] Time 0.207 (0.223) Data 0.041 (0.074) Loss 2.7354 (2.4864) Prec@1 36.328 (44.064) Prec@5 66.406 (69.711)
Epoch: [32][3100/5005] Time 0.195 (0.223) Data 0.052 (0.074) Loss 2.3265 (2.4863) Prec@1 45.312 (44.064) Prec@5 73.047 (69.711)
Epoch: [32][3110/5005] Time 0.200 (0.223) Data 0.043 (0.074) Loss 2.3462 (2.4861) Prec@1 46.484 (44.063) Prec@5 73.438 (69.715)
Epoch: [32][3120/5005] Time 0.201 (0.223) Data 0.042 (0.074) Loss 2.5879 (2.4860) Prec@1 42.578 (44.064) Prec@5 69.922 (69.720)
Epoch: [32][3130/5005] Time 0.202 (0.223) Data 0.039 (0.074) Loss 2.6422 (2.4858) Prec@1 39.844 (44.066) Prec@5 67.578 (69.725)
Epoch: [32][3140/5005] Time 0.199 (0.223) Data 0.081 (0.074) Loss 2.2757 (2.4856) Prec@1 51.953 (44.071) Prec@5 72.266 (69.729)
Epoch: [32][3150/5005] Time 0.195 (0.223) Data 0.046 (0.074) Loss 2.3879 (2.4855) Prec@1 47.266 (44.077) Prec@5 71.875 (69.733)
Epoch: [32][3160/5005] Time 0.528 (0.223) Data 0.445 (0.074) Loss 2.3274 (2.4855) Prec@1 45.703 (44.078) Prec@5 71.094 (69.733)
Epoch: [32][3170/5005] Time 0.217 (0.223) Data 0.132 (0.074) Loss 2.4602 (2.4855) Prec@1 45.703 (44.079) Prec@5 68.750 (69.733)
Epoch: [32][3180/5005] Time 0.211 (0.223) Data 0.046 (0.074) Loss 2.3071 (2.4856) Prec@1 48.047 (44.080) Prec@5 73.438 (69.733)
Epoch: [32][3190/5005] Time 0.200 (0.223) Data 0.040 (0.074) Loss 2.4449 (2.4855) Prec@1 43.750 (44.079) Prec@5 67.969 (69.731)
Epoch: [32][3200/5005] Time 1.041 (0.223) Data 0.966 (0.074) Loss 2.4930 (2.4856) Prec@1 44.141 (44.082) Prec@5 71.875 (69.732)
Epoch: [32][3210/5005] Time 0.204 (0.224) Data 0.041 (0.074) Loss 2.7145 (2.4856) Prec@1 37.891 (44.082) Prec@5 66.406 (69.733)
Epoch: [32][3220/5005] Time 0.202 (0.224) Data 0.040 (0.074) Loss 2.5638 (2.4855) Prec@1 44.141 (44.086) Prec@5 66.797 (69.734)
Epoch: [32][3230/5005] Time 0.197 (0.224) Data 0.050 (0.074) Loss 2.4723 (2.4853) Prec@1 42.578 (44.093) Prec@5 69.141 (69.737)
Epoch: [32][3240/5005] Time 0.204 (0.224) Data 0.050 (0.074) Loss 2.7829 (2.4857) Prec@1 41.406 (44.086) Prec@5 66.797 (69.731)
Epoch: [32][3250/5005] Time 0.245 (0.223) Data 0.156 (0.074) Loss 2.5577 (2.4858) Prec@1 44.922 (44.085) Prec@5 71.094 (69.731)
Epoch: [32][3260/5005] Time 0.207 (0.223) Data 0.044 (0.074) Loss 2.3526 (2.4856) Prec@1 49.219 (44.088) Prec@5 73.438 (69.736)
Epoch: [32][3270/5005] Time 0.204 (0.223) Data 0.048 (0.074) Loss 2.5820 (2.4855) Prec@1 42.578 (44.089) Prec@5 65.625 (69.737)
Epoch: [32][3280/5005] Time 0.205 (0.223) Data 0.121 (0.074) Loss 2.3820 (2.4855) Prec@1 48.438 (44.086) Prec@5 71.094 (69.733)
Epoch: [32][3290/5005] Time 0.286 (0.223) Data 0.201 (0.074) Loss 2.4208 (2.4853) Prec@1 47.266 (44.089) Prec@5 69.531 (69.736)
Epoch: [32][3300/5005] Time 0.461 (0.224) Data 0.372 (0.074) Loss 2.5179 (2.4853) Prec@1 39.062 (44.088) Prec@5 68.359 (69.736)
Epoch: [32][3310/5005] Time 0.204 (0.223) Data 0.051 (0.074) Loss 2.4095 (2.4852) Prec@1 48.438 (44.090) Prec@5 67.969 (69.735)
Epoch: [32][3320/5005] Time 0.202 (0.223) Data 0.044 (0.074) Loss 2.6048 (2.4851) Prec@1 45.312 (44.093) Prec@5 67.578 (69.736)
Epoch: [32][3330/5005] Time 0.198 (0.223) Data 0.044 (0.074) Loss 2.6021 (2.4850) Prec@1 42.188 (44.097) Prec@5 66.797 (69.739)
Epoch: [32][3340/5005] Time 0.210 (0.223) Data 0.042 (0.074) Loss 2.5413 (2.4850) Prec@1 45.312 (44.095) Prec@5 68.359 (69.741)
Epoch: [32][3350/5005] Time 0.193 (0.223) Data 0.053 (0.074) Loss 2.4817 (2.4849) Prec@1 46.484 (44.095) Prec@5 67.969 (69.740)
Epoch: [32][3360/5005] Time 0.201 (0.223) Data 0.045 (0.074) Loss 2.5112 (2.4849) Prec@1 42.188 (44.098) Prec@5 69.922 (69.742)
Epoch: [32][3370/5005] Time 0.203 (0.223) Data 0.047 (0.074) Loss 2.6378 (2.4850) Prec@1 39.453 (44.098) Prec@5 69.922 (69.741)
Epoch: [32][3380/5005] Time 0.205 (0.223) Data 0.043 (0.074) Loss 2.3794 (2.4848) Prec@1 46.094 (44.100) Prec@5 70.703 (69.744)
Epoch: [32][3390/5005] Time 0.198 (0.223) Data 0.047 (0.074) Loss 2.2380 (2.4849) Prec@1 46.484 (44.099) Prec@5 75.781 (69.742)
Epoch: [32][3400/5005] Time 0.201 (0.223) Data 0.044 (0.074) Loss 2.4657 (2.4850) Prec@1 44.531 (44.096) Prec@5 68.750 (69.741)
Epoch: [32][3410/5005] Time 0.186 (0.223) Data 0.104 (0.074) Loss 2.3802 (2.4848) Prec@1 41.406 (44.098) Prec@5 69.141 (69.744)
Epoch: [32][3420/5005] Time 0.191 (0.223) Data 0.057 (0.074) Loss 2.4989 (2.4847) Prec@1 47.266 (44.100) Prec@5 69.141 (69.743)
Epoch: [32][3430/5005] Time 0.199 (0.223) Data 0.060 (0.075) Loss 2.3645 (2.4846) Prec@1 44.141 (44.102) Prec@5 72.656 (69.745)
Epoch: [32][3440/5005] Time 0.256 (0.223) Data 0.179 (0.075) Loss 2.5314 (2.4844) Prec@1 41.797 (44.103) Prec@5 65.625 (69.746)
Epoch: [32][3450/5005] Time 0.194 (0.223) Data 0.062 (0.075) Loss 2.2303 (2.4842) Prec@1 44.922 (44.106) Prec@5 75.391 (69.749)
Epoch: [32][3460/5005] Time 0.200 (0.224) Data 0.040 (0.075) Loss 2.5016 (2.4842) Prec@1 46.484 (44.108) Prec@5 70.703 (69.749)
Epoch: [32][3470/5005] Time 0.205 (0.223) Data 0.043 (0.075) Loss 2.3948 (2.4841) Prec@1 48.438 (44.113) Prec@5 67.969 (69.749)
Epoch: [32][3480/5005] Time 0.201 (0.223) Data 0.049 (0.075) Loss 2.3804 (2.4838) Prec@1 44.141 (44.116) Prec@5 71.094 (69.754)
Epoch: [32][3490/5005] Time 0.357 (0.223) Data 0.278 (0.075) Loss 2.6398 (2.4839) Prec@1 37.500 (44.111) Prec@5 69.922 (69.754)
Epoch: [32][3500/5005] Time 0.201 (0.223) Data 0.042 (0.075) Loss 2.3489 (2.4839) Prec@1 46.484 (44.111) Prec@5 71.094 (69.753)
Epoch: [32][3510/5005] Time 0.198 (0.223) Data 0.043 (0.075) Loss 2.3804 (2.4838) Prec@1 46.484 (44.113) Prec@5 72.656 (69.754)
Epoch: [32][3520/5005] Time 0.209 (0.223) Data 0.040 (0.075) Loss 2.6426 (2.4838) Prec@1 44.922 (44.113) Prec@5 65.625 (69.753)
Epoch: [32][3530/5005] Time 0.194 (0.223) Data 0.109 (0.075) Loss 2.4853 (2.4836) Prec@1 43.750 (44.116) Prec@5 71.875 (69.758)
Epoch: [32][3540/5005] Time 0.204 (0.223) Data 0.039 (0.075) Loss 2.3649 (2.4833) Prec@1 44.922 (44.123) Prec@5 73.438 (69.765)
Epoch: [32][3550/5005] Time 0.198 (0.223) Data 0.114 (0.075) Loss 2.5202 (2.4831) Prec@1 40.625 (44.124) Prec@5 69.141 (69.770)
Epoch: [32][3560/5005] Time 0.214 (0.223) Data 0.054 (0.075) Loss 2.4128 (2.4829) Prec@1 44.531 (44.128) Prec@5 69.531 (69.773)
Epoch: [32][3570/5005] Time 0.204 (0.223) Data 0.040 (0.075) Loss 2.5369 (2.4829) Prec@1 44.531 (44.126) Prec@5 73.438 (69.773)
Epoch: [32][3580/5005] Time 0.196 (0.223) Data 0.053 (0.075) Loss 2.4139 (2.4830) Prec@1 48.047 (44.126) Prec@5 68.750 (69.770)
Epoch: [32][3590/5005] Time 0.189 (0.223) Data 0.048 (0.075) Loss 2.6276 (2.4827) Prec@1 38.672 (44.130) Prec@5 65.625 (69.776)
Epoch: [32][3600/5005] Time 0.193 (0.223) Data 0.043 (0.075) Loss 2.5125 (2.4825) Prec@1 44.922 (44.132) Prec@5 66.797 (69.777)
Epoch: [32][3610/5005] Time 0.208 (0.223) Data 0.048 (0.075) Loss 2.3725 (2.4826) Prec@1 48.438 (44.132) Prec@5 69.922 (69.777)
Epoch: [32][3620/5005] Time 0.209 (0.223) Data 0.049 (0.075) Loss 2.5467 (2.4823) Prec@1 43.750 (44.141) Prec@5 67.578 (69.783)
Epoch: [32][3630/5005] Time 0.207 (0.223) Data 0.043 (0.075) Loss 2.7677 (2.4821) Prec@1 42.188 (44.142) Prec@5 64.062 (69.787)
Epoch: [32][3640/5005] Time 0.200 (0.223) Data 0.050 (0.075) Loss 2.3293 (2.4821) Prec@1 43.359 (44.141) Prec@5 72.266 (69.789)
Epoch: [32][3650/5005] Time 0.214 (0.223) Data 0.048 (0.075) Loss 2.3648 (2.4821) Prec@1 44.922 (44.140) Prec@5 74.219 (69.790)
Epoch: [32][3660/5005] Time 0.202 (0.223) Data 0.044 (0.075) Loss 2.5239 (2.4818) Prec@1 43.750 (44.146) Prec@5 69.141 (69.794)
Epoch: [32][3670/5005] Time 0.206 (0.223) Data 0.051 (0.075) Loss 2.4734 (2.4818) Prec@1 45.703 (44.146) Prec@5 71.094 (69.795)
Epoch: [32][3680/5005] Time 0.207 (0.224) Data 0.061 (0.075) Loss 2.3016 (2.4819) Prec@1 45.312 (44.144) Prec@5 73.438 (69.794)
Epoch: [32][3690/5005] Time 0.205 (0.223) Data 0.041 (0.075) Loss 2.2094 (2.4818) Prec@1 46.094 (44.145) Prec@5 75.391 (69.796)
Epoch: [32][3700/5005] Time 0.269 (0.223) Data 0.184 (0.075) Loss 2.4997 (2.4818) Prec@1 46.094 (44.144) Prec@5 71.094 (69.795)
Epoch: [32][3710/5005] Time 0.197 (0.223) Data 0.042 (0.075) Loss 2.4400 (2.4818) Prec@1 43.750 (44.142) Prec@5 71.875 (69.798)
Epoch: [32][3720/5005] Time 0.203 (0.223) Data 0.108 (0.075) Loss 2.6681 (2.4818) Prec@1 43.750 (44.143) Prec@5 67.578 (69.799)
Epoch: [32][3730/5005] Time 0.196 (0.223) Data 0.046 (0.075) Loss 2.4221 (2.4817) Prec@1 44.922 (44.142) Prec@5 72.266 (69.799)
Epoch: [32][3740/5005] Time 0.199 (0.223) Data 0.047 (0.075) Loss 2.4073 (2.4815) Prec@1 46.875 (44.145) Prec@5 70.312 (69.802)
Epoch: [32][3750/5005] Time 0.536 (0.224) Data 0.458 (0.075) Loss 2.3324 (2.4815) Prec@1 47.656 (44.145) Prec@5 73.438 (69.798)
Epoch: [32][3760/5005] Time 0.200 (0.224) Data 0.049 (0.075) Loss 2.5734 (2.4816) Prec@1 42.578 (44.145) Prec@5 65.625 (69.797)
Epoch: [32][3770/5005] Time 0.198 (0.224) Data 0.044 (0.075) Loss 2.5639 (2.4814) Prec@1 43.359 (44.148) Prec@5 66.797 (69.799)
Epoch: [32][3780/5005] Time 0.205 (0.224) Data 0.042 (0.075) Loss 2.4093 (2.4813) Prec@1 46.875 (44.147) Prec@5 73.047 (69.800)
Epoch: [32][3790/5005] Time 0.196 (0.224) Data 0.045 (0.075) Loss 2.5922 (2.4814) Prec@1 44.531 (44.147) Prec@5 68.359 (69.800)
Epoch: [32][3800/5005] Time 0.206 (0.224) Data 0.052 (0.075) Loss 2.3985 (2.4816) Prec@1 48.438 (44.145) Prec@5 71.094 (69.799)
Epoch: [32][3810/5005] Time 0.204 (0.224) Data 0.049 (0.075) Loss 2.2645 (2.4815) Prec@1 48.828 (44.144) Prec@5 70.703 (69.799)
Epoch: [32][3820/5005] Time 0.208 (0.224) Data 0.042 (0.075) Loss 2.3974 (2.4813) Prec@1 45.703 (44.149) Prec@5 70.703 (69.803)
Epoch: [32][3830/5005] Time 0.228 (0.224) Data 0.135 (0.075) Loss 2.4143 (2.4810) Prec@1 40.625 (44.150) Prec@5 71.094 (69.809)
Epoch: [32][3840/5005] Time 0.208 (0.224) Data 0.045 (0.075) Loss 2.6626 (2.4810) Prec@1 41.797 (44.151) Prec@5 65.625 (69.807)
Epoch: [32][3850/5005] Time 0.203 (0.224) Data 0.040 (0.075) Loss 2.4869 (2.4809) Prec@1 45.312 (44.152) Prec@5 70.703 (69.809)
Epoch: [32][3860/5005] Time 0.193 (0.224) Data 0.102 (0.075) Loss 2.2770 (2.4810) Prec@1 50.000 (44.154) Prec@5 74.609 (69.808)
Epoch: [32][3870/5005] Time 0.199 (0.224) Data 0.046 (0.075) Loss 2.4403 (2.4809) Prec@1 41.406 (44.155) Prec@5 71.875 (69.809)
Epoch: [32][3880/5005] Time 0.196 (0.224) Data 0.050 (0.076) Loss 2.3035 (2.4810) Prec@1 47.266 (44.155) Prec@5 72.266 (69.808)
Epoch: [32][3890/5005] Time 0.191 (0.224) Data 0.050 (0.076) Loss 2.6512 (2.4808) Prec@1 42.578 (44.156) Prec@5 66.016 (69.808)
Epoch: [32][3900/5005] Time 0.212 (0.224) Data 0.041 (0.076) Loss 2.7402 (2.4809) Prec@1 37.891 (44.154) Prec@5 65.625 (69.806)
Epoch: [32][3910/5005] Time 0.195 (0.224) Data 0.059 (0.076) Loss 2.3799 (2.4808) Prec@1 47.656 (44.155) Prec@5 71.875 (69.810)
Epoch: [32][3920/5005] Time 0.191 (0.224) Data 0.058 (0.076) Loss 2.3674 (2.4808) Prec@1 47.656 (44.155) Prec@5 67.969 (69.810)
Epoch: [32][3930/5005] Time 0.200 (0.224) Data 0.049 (0.076) Loss 2.4028 (2.4807) Prec@1 42.969 (44.156) Prec@5 68.750 (69.812)
Epoch: [32][3940/5005] Time 0.197 (0.224) Data 0.095 (0.076) Loss 2.3757 (2.4806) Prec@1 47.266 (44.161) Prec@5 70.312 (69.811)
Epoch: [32][3950/5005] Time 0.189 (0.224) Data 0.055 (0.076) Loss 2.3874 (2.4805) Prec@1 41.797 (44.163) Prec@5 71.875 (69.812)
Epoch: [32][3960/5005] Time 0.202 (0.224) Data 0.038 (0.076) Loss 2.3721 (2.4804) Prec@1 48.828 (44.163) Prec@5 73.047 (69.815)
Epoch: [32][3970/5005] Time 0.468 (0.224) Data 0.378 (0.076) Loss 2.4730 (2.4804) Prec@1 44.531 (44.165) Prec@5 68.359 (69.816)
Epoch: [32][3980/5005] Time 0.209 (0.224) Data 0.043 (0.076) Loss 2.3389 (2.4803) Prec@1 41.016 (44.166) Prec@5 73.438 (69.818)
Epoch: [32][3990/5005] Time 0.196 (0.224) Data 0.056 (0.076) Loss 2.6222 (2.4803) Prec@1 41.406 (44.165) Prec@5 67.969 (69.817)
Epoch: [32][4000/5005] Time 0.199 (0.224) Data 0.046 (0.076) Loss 2.4191 (2.4803) Prec@1 45.312 (44.168) Prec@5 71.875 (69.817)
Epoch: [32][4010/5005] Time 0.207 (0.224) Data 0.046 (0.076) Loss 2.5726 (2.4801) Prec@1 44.141 (44.172) Prec@5 69.531 (69.820)
Epoch: [32][4020/5005] Time 0.193 (0.224) Data 0.061 (0.076) Loss 2.6707 (2.4801) Prec@1 40.234 (44.172) Prec@5 66.406 (69.819)
Epoch: [32][4030/5005] Time 0.410 (0.224) Data 0.329 (0.076) Loss 2.7941 (2.4804) Prec@1 40.625 (44.169) Prec@5 64.453 (69.813)
Epoch: [32][4040/5005] Time 0.197 (0.224) Data 0.063 (0.076) Loss 2.4729 (2.4804) Prec@1 42.188 (44.165) Prec@5 70.312 (69.814)
Epoch: [32][4050/5005] Time 0.194 (0.224) Data 0.060 (0.076) Loss 2.6747 (2.4802) Prec@1 39.062 (44.170) Prec@5 64.844 (69.817)
Epoch: [32][4060/5005] Time 0.290 (0.224) Data 0.211 (0.076) Loss 2.3677 (2.4802) Prec@1 46.094 (44.169) Prec@5 67.969 (69.818)
Epoch: [32][4070/5005] Time 0.200 (0.224) Data 0.047 (0.076) Loss 2.7205 (2.4801) Prec@1 41.797 (44.170) Prec@5 67.969 (69.820)
Epoch: [32][4080/5005] Time 0.212 (0.224) Data 0.052 (0.076) Loss 2.4315 (2.4801) Prec@1 44.141 (44.171) Prec@5 71.875 (69.821)
Epoch: [32][4090/5005] Time 0.198 (0.224) Data 0.049 (0.076) Loss 2.5901 (2.4800) Prec@1 40.625 (44.173) Prec@5 67.188 (69.823)
Epoch: [32][4100/5005] Time 0.214 (0.224) Data 0.046 (0.076) Loss 2.4484 (2.4799) Prec@1 45.312 (44.173) Prec@5 67.969 (69.823)
Epoch: [32][4110/5005] Time 0.196 (0.224) Data 0.048 (0.076) Loss 2.7734 (2.4800) Prec@1 38.672 (44.172) Prec@5 66.016 (69.824)
Epoch: [32][4120/5005] Time 0.202 (0.224) Data 0.048 (0.076) Loss 2.5033 (2.4798) Prec@1 43.359 (44.176) Prec@5 69.922 (69.827)
Epoch: [32][4130/5005] Time 0.204 (0.224) Data 0.051 (0.076) Loss 2.5002 (2.4797) Prec@1 37.109 (44.175) Prec@5 65.234 (69.828)
Epoch: [32][4140/5005] Time 0.200 (0.224) Data 0.045 (0.076) Loss 2.4648 (2.4797) Prec@1 42.188 (44.178) Prec@5 68.750 (69.827)
Epoch: [32][4150/5005] Time 0.201 (0.224) Data 0.044 (0.076) Loss 2.6826 (2.4797) Prec@1 41.016 (44.176) Prec@5 69.531 (69.825)
Epoch: [32][4160/5005] Time 0.198 (0.224) Data 0.082 (0.076) Loss 2.4132 (2.4798) Prec@1 46.484 (44.179) Prec@5 70.312 (69.826)
Epoch: [32][4170/5005] Time 0.205 (0.224) Data 0.052 (0.076) Loss 2.2733 (2.4796) Prec@1 48.828 (44.185) Prec@5 75.391 (69.830)
Epoch: [32][4180/5005] Time 0.287 (0.224) Data 0.207 (0.076) Loss 2.3949 (2.4795) Prec@1 48.438 (44.185) Prec@5 70.312 (69.831)
Epoch: [32][4190/5005] Time 0.197 (0.224) Data 0.050 (0.076) Loss 2.3970 (2.4795) Prec@1 46.484 (44.190) Prec@5 69.922 (69.830)
Epoch: [32][4200/5005] Time 0.236 (0.224) Data 0.149 (0.076) Loss 2.2997 (2.4794) Prec@1 45.703 (44.191) Prec@5 72.266 (69.831)
Epoch: [32][4210/5005] Time 0.198 (0.224) Data 0.047 (0.076) Loss 2.3700 (2.4793) Prec@1 45.703 (44.195) Prec@5 71.094 (69.834)
Epoch: [32][4220/5005] Time 0.197 (0.224) Data 0.048 (0.076) Loss 2.5940 (2.4794) Prec@1 45.312 (44.193) Prec@5 67.969 (69.833)
Epoch: [32][4230/5005] Time 0.200 (0.224) Data 0.062 (0.076) Loss 2.5797 (2.4795) Prec@1 43.750 (44.192) Prec@5 68.750 (69.833)
Epoch: [32][4240/5005] Time 0.218 (0.224) Data 0.045 (0.076) Loss 2.4328 (2.4795) Prec@1 44.922 (44.192) Prec@5 69.531 (69.832)
Epoch: [32][4250/5005] Time 0.198 (0.224) Data 0.058 (0.076) Loss 2.3158 (2.4793) Prec@1 47.266 (44.194) Prec@5 71.094 (69.833)
Epoch: [32][4260/5005] Time 0.202 (0.224) Data 0.048 (0.076) Loss 2.4449 (2.4793) Prec@1 43.750 (44.195) Prec@5 67.969 (69.831)
Epoch: [32][4270/5005] Time 0.200 (0.224) Data 0.044 (0.076) Loss 2.7559 (2.4794) Prec@1 39.453 (44.193) Prec@5 65.234 (69.829)
Epoch: [32][4280/5005] Time 0.196 (0.224) Data 0.044 (0.076) Loss 2.5613 (2.4794) Prec@1 42.969 (44.194) Prec@5 68.359 (69.829)
Epoch: [32][4290/5005] Time 0.221 (0.224) Data 0.137 (0.076) Loss 2.6736 (2.4794) Prec@1 43.750 (44.193) Prec@5 64.844 (69.827)
Epoch: [32][4300/5005] Time 0.203 (0.224) Data 0.047 (0.076) Loss 2.3455 (2.4792) Prec@1 41.406 (44.195) Prec@5 74.219 (69.832)
Epoch: [32][4310/5005] Time 0.202 (0.224) Data 0.040 (0.076) Loss 2.4019 (2.4792) Prec@1 42.969 (44.195) Prec@5 71.875 (69.833)
Epoch: [32][4320/5005] Time 0.196 (0.224) Data 0.047 (0.076) Loss 2.4346 (2.4792) Prec@1 49.609 (44.196) Prec@5 69.531 (69.831)
Epoch: [32][4330/5005] Time 0.202 (0.224) Data 0.045 (0.076) Loss 2.3828 (2.4791) Prec@1 44.922 (44.200) Prec@5 73.438 (69.833)
Epoch: [32][4340/5005] Time 0.218 (0.224) Data 0.047 (0.076) Loss 2.5558 (2.4792) Prec@1 42.578 (44.199) Prec@5 67.578 (69.830)
Epoch: [32][4350/5005] Time 0.415 (0.224) Data 0.333 (0.076) Loss 2.5114 (2.4792) Prec@1 44.141 (44.199) Prec@5 72.656 (69.830)
Epoch: [32][4360/5005] Time 0.312 (0.224) Data 0.227 (0.076) Loss 2.2875 (2.4790) Prec@1 46.484 (44.198) Prec@5 71.484 (69.834)
Epoch: [32][4370/5005] Time 0.215 (0.224) Data 0.045 (0.076) Loss 2.4352 (2.4790) Prec@1 48.047 (44.201) Prec@5 71.094 (69.836)
Epoch: [32][4380/5005] Time 0.199 (0.224) Data 0.055 (0.076) Loss 2.5869 (2.4790) Prec@1 40.625 (44.200) Prec@5 66.797 (69.836)
Epoch: [32][4390/5005] Time 0.207 (0.224) Data 0.052 (0.076) Loss 2.4953 (2.4787) Prec@1 43.750 (44.206) Prec@5 66.406 (69.839)
Epoch: [32][4400/5005] Time 0.195 (0.224) Data 0.043 (0.076) Loss 2.4228 (2.4787) Prec@1 42.969 (44.205) Prec@5 69.922 (69.837)
Epoch: [32][4410/5005] Time 0.202 (0.224) Data 0.039 (0.076) Loss 2.3647 (2.4786) Prec@1 42.578 (44.207) Prec@5 69.531 (69.837)
Epoch: [32][4420/5005] Time 0.204 (0.224) Data 0.053 (0.076) Loss 2.1173 (2.4783) Prec@1 47.266 (44.208) Prec@5 73.438 (69.840)
Epoch: [32][4430/5005] Time 0.183 (0.224) Data 0.100 (0.076) Loss 2.4770 (2.4781) Prec@1 42.188 (44.213) Prec@5 66.797 (69.846)
Epoch: [32][4440/5005] Time 0.217 (0.224) Data 0.048 (0.076) Loss 2.4307 (2.4780) Prec@1 46.484 (44.217) Prec@5 69.922 (69.847)
Epoch: [32][4450/5005] Time 0.207 (0.224) Data 0.046 (0.076) Loss 2.4264 (2.4779) Prec@1 47.266 (44.220) Prec@5 69.531 (69.847)
Epoch: [32][4460/5005] Time 0.201 (0.224) Data 0.100 (0.076) Loss 2.5464 (2.4777) Prec@1 42.188 (44.222) Prec@5 69.922 (69.851)
Epoch: [32][4470/5005] Time 0.200 (0.224) Data 0.044 (0.076) Loss 2.4144 (2.4778) Prec@1 47.656 (44.220) Prec@5 69.922 (69.851)
Epoch: [32][4480/5005] Time 0.204 (0.224) Data 0.044 (0.076) Loss 2.2092 (2.4778) Prec@1 50.000 (44.219) Prec@5 69.531 (69.849)
Epoch: [32][4490/5005] Time 0.205 (0.224) Data 0.044 (0.076) Loss 2.4359 (2.4779) Prec@1 44.922 (44.219) Prec@5 69.141 (69.847)
Epoch: [32][4500/5005] Time 0.245 (0.224) Data 0.163 (0.076) Loss 2.3977 (2.4778) Prec@1 44.141 (44.221) Prec@5 71.094 (69.849)
Epoch: [32][4510/5005] Time 0.210 (0.224) Data 0.049 (0.076) Loss 2.3859 (2.4778) Prec@1 46.094 (44.220) Prec@5 69.531 (69.847)
Epoch: [32][4520/5005] Time 0.197 (0.224) Data 0.046 (0.076) Loss 2.4188 (2.4776) Prec@1 48.047 (44.224) Prec@5 75.000 (69.854)
Epoch: [32][4530/5005] Time 0.210 (0.224) Data 0.045 (0.076) Loss 2.2704 (2.4776) Prec@1 48.828 (44.224) Prec@5 73.438 (69.856)
Epoch: [32][4540/5005] Time 0.220 (0.224) Data 0.136 (0.076) Loss 2.6711 (2.4778) Prec@1 41.406 (44.218) Prec@5 68.750 (69.852)
Epoch: [32][4550/5005] Time 0.220 (0.224) Data 0.047 (0.077) Loss 2.4447 (2.4777) Prec@1 43.750 (44.218) Prec@5 71.875 (69.855)
Epoch: [32][4560/5005] Time 0.199 (0.224) Data 0.044 (0.077) Loss 2.5044 (2.4777) Prec@1 44.922 (44.221) Prec@5 69.922 (69.855)
Epoch: [32][4570/5005] Time 0.201 (0.224) Data 0.041 (0.077) Loss 2.5547 (2.4775) Prec@1 43.750 (44.223) Prec@5 71.484 (69.859)
Epoch: [32][4580/5005] Time 0.199 (0.224) Data 0.116 (0.077) Loss 2.5215 (2.4774) Prec@1 38.281 (44.225) Prec@5 69.531 (69.862)
Epoch: [32][4590/5005] Time 0.211 (0.224) Data 0.043 (0.077) Loss 2.2278 (2.4774) Prec@1 49.219 (44.227) Prec@5 75.000 (69.862)
Epoch: [32][4600/5005] Time 0.199 (0.224) Data 0.046 (0.077) Loss 2.1290 (2.4774) Prec@1 52.734 (44.227) Prec@5 76.953 (69.864)
Epoch: [32][4610/5005] Time 0.206 (0.224) Data 0.051 (0.077) Loss 2.2730 (2.4772) Prec@1 44.922 (44.233) Prec@5 73.438 (69.866)
Epoch: [32][4620/5005] Time 0.205 (0.224) Data 0.044 (0.077) Loss 2.3637 (2.4772) Prec@1 44.531 (44.232) Prec@5 70.703 (69.864)
Epoch: [32][4630/5005] Time 0.205 (0.224) Data 0.048 (0.077) Loss 2.1071 (2.4770) Prec@1 52.734 (44.235) Prec@5 75.781 (69.868)
Epoch: [32][4640/5005] Time 0.193 (0.224) Data 0.103 (0.077) Loss 2.5027 (2.4769) Prec@1 46.094 (44.236) Prec@5 69.922 (69.871)
Epoch: [32][4650/5005] Time 0.206 (0.224) Data 0.119 (0.077) Loss 2.5755 (2.4769) Prec@1 44.531 (44.235) Prec@5 67.188 (69.871)
Epoch: [32][4660/5005] Time 0.479 (0.224) Data 0.398 (0.077) Loss 2.7318 (2.4769) Prec@1 39.844 (44.236) Prec@5 67.578 (69.872)
Epoch: [32][4670/5005] Time 0.204 (0.224) Data 0.044 (0.077) Loss 2.2668 (2.4768) Prec@1 48.828 (44.235) Prec@5 74.219 (69.876)
Epoch: [32][4680/5005] Time 0.206 (0.224) Data 0.051 (0.077) Loss 2.4198 (2.4768) Prec@1 39.453 (44.234) Prec@5 69.922 (69.874)
Epoch: [32][4690/5005] Time 0.199 (0.224) Data 0.046 (0.077) Loss 2.4855 (2.4768) Prec@1 42.969 (44.234) Prec@5 68.750 (69.874)
Epoch: [32][4700/5005] Time 0.202 (0.224) Data 0.116 (0.077) Loss 2.4384 (2.4767) Prec@1 44.141 (44.234) Prec@5 70.312 (69.876)
Epoch: [32][4710/5005] Time 0.189 (0.224) Data 0.092 (0.077) Loss 2.3433 (2.4764) Prec@1 48.828 (44.240) Prec@5 72.656 (69.879)
Epoch: [32][4720/5005] Time 0.459 (0.224) Data 0.366 (0.077) Loss 2.2596 (2.4763) Prec@1 47.656 (44.241) Prec@5 72.656 (69.881)
Epoch: [32][4730/5005] Time 0.192 (0.224) Data 0.062 (0.077) Loss 2.3315 (2.4764) Prec@1 49.219 (44.241) Prec@5 72.656 (69.880)
Epoch: [32][4740/5005] Time 0.200 (0.224) Data 0.064 (0.077) Loss 2.2567 (2.4763) Prec@1 47.266 (44.244) Prec@5 73.828 (69.880)
Epoch: [32][4750/5005] Time 0.195 (0.224) Data 0.061 (0.077) Loss 2.4002 (2.4762) Prec@1 44.141 (44.246) Prec@5 68.750 (69.882)
Epoch: [32][4760/5005] Time 0.213 (0.224) Data 0.045 (0.077) Loss 2.6947 (2.4760) Prec@1 40.234 (44.250) Prec@5 69.141 (69.886)
Epoch: [32][4770/5005] Time 0.194 (0.224) Data 0.056 (0.077) Loss 2.4262 (2.4760) Prec@1 48.047 (44.251) Prec@5 67.969 (69.885)
Epoch: [32][4780/5005] Time 0.206 (0.224) Data 0.044 (0.077) Loss 2.5576 (2.4760) Prec@1 40.625 (44.251) Prec@5 67.969 (69.883)
Epoch: [32][4790/5005] Time 0.215 (0.224) Data 0.044 (0.077) Loss 2.6084 (2.4760) Prec@1 41.797 (44.253) Prec@5 66.797 (69.883)
Epoch: [32][4800/5005] Time 0.198 (0.224) Data 0.049 (0.077) Loss 2.6148 (2.4758) Prec@1 40.234 (44.253) Prec@5 69.922 (69.887)
Epoch: [32][4810/5005] Time 0.212 (0.224) Data 0.047 (0.077) Loss 2.6849 (2.4758) Prec@1 42.578 (44.254) Prec@5 66.016 (69.888)
Epoch: [32][4820/5005] Time 0.202 (0.224) Data 0.052 (0.077) Loss 2.7122 (2.4757) Prec@1 43.750 (44.256) Prec@5 64.453 (69.890)
Epoch: [32][4830/5005] Time 0.210 (0.224) Data 0.045 (0.077) Loss 2.5211 (2.4755) Prec@1 42.969 (44.259) Prec@5 69.531 (69.892)
Epoch: [32][4840/5005] Time 0.646 (0.224) Data 0.556 (0.077) Loss 2.2067 (2.4755) Prec@1 51.172 (44.259) Prec@5 75.000 (69.892)
Epoch: [32][4850/5005] Time 0.193 (0.224) Data 0.064 (0.077) Loss 2.4331 (2.4757) Prec@1 42.188 (44.258) Prec@5 71.484 (69.888)
Epoch: [32][4860/5005] Time 0.198 (0.224) Data 0.052 (0.077) Loss 2.4977 (2.4756) Prec@1 42.969 (44.258) Prec@5 69.922 (69.889)
Epoch: [32][4870/5005] Time 0.201 (0.224) Data 0.041 (0.077) Loss 2.3096 (2.4756) Prec@1 50.000 (44.260) Prec@5 71.875 (69.890)
Epoch: [32][4880/5005] Time 0.221 (0.224) Data 0.132 (0.077) Loss 2.4606 (2.4755) Prec@1 46.484 (44.264) Prec@5 70.312 (69.892)
Epoch: [32][4890/5005] Time 0.721 (0.224) Data 0.629 (0.077) Loss 2.5165 (2.4754) Prec@1 41.797 (44.266) Prec@5 67.969 (69.895)
Epoch: [32][4900/5005] Time 0.196 (0.224) Data 0.046 (0.077) Loss 2.2993 (2.4753) Prec@1 46.484 (44.268) Prec@5 73.047 (69.897)
Epoch: [32][4910/5005] Time 0.194 (0.224) Data 0.047 (0.077) Loss 2.4146 (2.4750) Prec@1 45.312 (44.271) Prec@5 71.875 (69.901)
Epoch: [32][4920/5005] Time 0.207 (0.224) Data 0.039 (0.077) Loss 2.4417 (2.4751) Prec@1 42.578 (44.270) Prec@5 73.047 (69.902)
Epoch: [32][4930/5005] Time 0.201 (0.224) Data 0.046 (0.077) Loss 2.6127 (2.4750) Prec@1 42.578 (44.271) Prec@5 67.578 (69.904)
Epoch: [32][4940/5005] Time 0.200 (0.224) Data 0.042 (0.077) Loss 2.4193 (2.4750) Prec@1 46.875 (44.273) Prec@5 71.094 (69.903)
Epoch: [32][4950/5005] Time 0.193 (0.224) Data 0.067 (0.077) Loss 2.2101 (2.4750) Prec@1 46.094 (44.272) Prec@5 73.047 (69.903)
Epoch: [32][4960/5005] Time 0.197 (0.224) Data 0.050 (0.077) Loss 2.4867 (2.4750) Prec@1 46.875 (44.272) Prec@5 69.922 (69.905)
Epoch: [32][4970/5005] Time 0.217 (0.224) Data 0.046 (0.077) Loss 2.6670 (2.4750) Prec@1 42.578 (44.272) Prec@5 66.406 (69.907)
Epoch: [32][4980/5005] Time 0.199 (0.224) Data 0.039 (0.078) Loss 2.4463 (2.4748) Prec@1 47.266 (44.274) Prec@5 73.047 (69.912)
Epoch: [32][4990/5005] Time 0.209 (0.224) Data 0.026 (0.077) Loss 2.4488 (2.4747) Prec@1 43.359 (44.278) Prec@5 67.969 (69.912)
Epoch: [32][5000/5005] Time 0.211 (0.224) Data 0.028 (0.077) Loss 2.6418 (2.4747) Prec@1 41.406 (44.276) Prec@5 68.359 (69.912)
Test: [0/196] Time 2.684 (2.684) Loss 2.4760 (2.4760) Prec@1 46.484 (46.484) Prec@5 71.094 (71.094)
Test: [10/196] Time 0.043 (0.396) Loss 2.5455 (2.6750) Prec@1 44.922 (42.081) Prec@5 66.797 (67.756)
Test: [20/196] Time 0.044 (0.294) Loss 2.5521 (2.6799) Prec@1 45.703 (41.611) Prec@5 71.094 (68.006)
Test: [30/196] Time 0.043 (0.267) Loss 2.5237 (2.6868) Prec@1 42.969 (41.545) Prec@5 68.359 (67.641)
Test: [40/196] Time 0.573 (0.263) Loss 2.4280 (2.6851) Prec@1 47.266 (41.711) Prec@5 72.266 (67.645)
Test: [50/196] Time 0.611 (0.263) Loss 2.8321 (2.6909) Prec@1 42.578 (41.889) Prec@5 67.188 (67.502)
Test: [60/196] Time 0.628 (0.259) Loss 2.6227 (2.6788) Prec@1 42.188 (42.258) Prec@5 70.703 (67.553)
Test: [70/196] Time 0.252 (0.250) Loss 2.6188 (2.6717) Prec@1 44.141 (42.314) Prec@5 70.312 (67.776)
Test: [80/196] Time 0.118 (0.241) Loss 2.5186 (2.6758) Prec@1 46.484 (42.274) Prec@5 74.609 (67.699)
Test: [90/196] Time 0.911 (0.245) Loss 2.7974 (2.6797) Prec@1 40.234 (42.312) Prec@5 65.234 (67.595)
Test: [100/196] Time 0.145 (0.240) Loss 2.7516 (2.6763) Prec@1 42.969 (42.497) Prec@5 65.234 (67.625)
Test: [110/196] Time 0.045 (0.238) Loss 2.8465 (2.6775) Prec@1 38.672 (42.437) Prec@5 62.891 (67.645)
Test: [120/196] Time 0.043 (0.235) Loss 2.4497 (2.6756) Prec@1 44.531 (42.488) Prec@5 71.484 (67.678)
Test: [130/196] Time 0.324 (0.234) Loss 2.3816 (2.6732) Prec@1 43.750 (42.539) Prec@5 72.266 (67.691)
Test: [140/196] Time 0.394 (0.234) Loss 2.5205 (2.6736) Prec@1 45.703 (42.528) Prec@5 71.094 (67.636)
Test: [150/196] Time 0.043 (0.233) Loss 2.3342 (2.6705) Prec@1 48.047 (42.573) Prec@5 75.000 (67.702)
Test: [160/196] Time 0.247 (0.233) Loss 2.5569 (2.6672) Prec@1 46.094 (42.551) Prec@5 69.531 (67.746)
Test: [170/196] Time 0.203 (0.233) Loss 2.5794 (2.6688) Prec@1 44.531 (42.530) Prec@5 73.047 (67.749)
Test: [180/196] Time 0.042 (0.231) Loss 2.8609 (2.6735) Prec@1 36.328 (42.405) Prec@5 62.891 (67.621)
Test: [190/196] Time 0.064 (0.232) Loss 2.9495 (2.6767) Prec@1 39.062 (42.355) Prec@5 61.328 (67.488)
* Prec@1 42.366 Prec@5 67.514
Learning rate: 0.0001
Epoch: [33][0/5005] Time 2.111 (2.111) Data 2.015 (2.015) Loss 2.4136 (2.4136) Prec@1 48.047 (48.047) Prec@5 73.047 (73.047)
Epoch: [33][10/5005] Time 0.206 (0.373) Data 0.045 (0.230) Loss 2.3896 (2.5097) Prec@1 48.438 (42.898) Prec@5 70.703 (69.389)
Epoch: [33][20/5005] Time 0.189 (0.291) Data 0.041 (0.144) Loss 2.4862 (2.5066) Prec@1 44.922 (43.155) Prec@5 71.094 (69.587)
Epoch: [33][30/5005] Time 0.210 (0.262) Data 0.048 (0.113) Loss 2.2423 (2.4764) Prec@1 47.656 (43.750) Prec@5 74.609 (69.871)
Epoch: [33][40/5005] Time 0.190 (0.246) Data 0.068 (0.098) Loss 2.3785 (2.4827) Prec@1 46.484 (43.750) Prec@5 71.094 (69.741)
Epoch: [33][50/5005] Time 0.200 (0.237) Data 0.039 (0.089) Loss 2.3035 (2.4816) Prec@1 46.094 (43.781) Prec@5 75.000 (69.700)
Epoch: [33][60/5005] Time 0.206 (0.231) Data 0.045 (0.082) Loss 2.3292 (2.4851) Prec@1 43.750 (43.596) Prec@5 72.266 (69.621)
Epoch: [33][70/5005] Time 0.208 (0.227) Data 0.042 (0.076) Loss 2.4087 (2.4916) Prec@1 46.094 (43.541) Prec@5 70.703 (69.592)
Epoch: [33][80/5005] Time 0.202 (0.224) Data 0.042 (0.072) Loss 2.3460 (2.4828) Prec@1 48.047 (43.760) Prec@5 74.219 (69.661)
Epoch: [33][90/5005] Time 0.204 (0.221) Data 0.045 (0.069) Loss 2.5482 (2.4844) Prec@1 43.359 (43.892) Prec@5 69.531 (69.651)
Epoch: [33][100/5005] Time 0.209 (0.219) Data 0.046 (0.067) Loss 2.2171 (2.4868) Prec@1 47.266 (43.823) Prec@5 75.391 (69.670)
Epoch: [33][110/5005] Time 0.204 (0.218) Data 0.048 (0.065) Loss 2.5287 (2.4904) Prec@1 44.922 (43.845) Prec@5 69.531 (69.672)
Epoch: [33][120/5005] Time 0.198 (0.216) Data 0.045 (0.064) Loss 2.5601 (2.4919) Prec@1 40.625 (43.928) Prec@5 71.875 (69.631)
Epoch: [33][130/5005] Time 0.189 (0.215) Data 0.044 (0.063) Loss 2.6754 (2.4920) Prec@1 44.141 (44.021) Prec@5 65.625 (69.609)
Epoch: [33][140/5005] Time 0.199 (0.219) Data 0.045 (0.067) Loss 2.5288 (2.4909) Prec@1 43.750 (43.977) Prec@5 70.703 (69.650)
Epoch: [33][150/5005] Time 0.196 (0.221) Data 0.047 (0.066) Loss 2.6308 (2.4930) Prec@1 38.672 (43.931) Prec@5 67.188 (69.661)
Epoch: [33][160/5005] Time 0.211 (0.221) Data 0.044 (0.066) Loss 2.5385 (2.4950) Prec@1 42.188 (43.862) Prec@5 68.750 (69.619)
Epoch: [33][170/5005] Time 0.204 (0.222) Data 0.045 (0.067) Loss 2.6438 (2.4962) Prec@1 45.312 (43.853) Prec@5 66.406 (69.556)
Epoch: [33][180/5005] Time 0.444 (0.222) Data 0.359 (0.070) Loss 2.6319 (2.4962) Prec@1 42.578 (43.890) Prec@5 66.016 (69.568)
Epoch: [33][190/5005] Time 0.216 (0.223) Data 0.050 (0.071) Loss 2.6446 (2.5015) Prec@1 40.234 (43.797) Prec@5 71.484 (69.507)
Epoch: [33][200/5005] Time 0.213 (0.223) Data 0.045 (0.071) Loss 2.5889 (2.5019) Prec@1 44.141 (43.816) Prec@5 67.188 (69.467)
Epoch: [33][210/5005] Time 0.480 (0.225) Data 0.399 (0.074) Loss 2.2257 (2.4997) Prec@1 49.609 (43.824) Prec@5 73.047 (69.520)
Epoch: [33][220/5005] Time 0.206 (0.225) Data 0.060 (0.073) Loss 2.5595 (2.5009) Prec@1 43.750 (43.821) Prec@5 69.922 (69.455)
Epoch: [33][230/5005] Time 0.212 (0.225) Data 0.092 (0.073) Loss 2.4653 (2.5010) Prec@1 46.875 (43.848) Prec@5 68.750 (69.477)
Epoch: [33][240/5005] Time 0.209 (0.226) Data 0.042 (0.072) Loss 2.3355 (2.5015) Prec@1 44.922 (43.803) Prec@5 72.266 (69.479)
Epoch: [33][250/5005] Time 0.498 (0.227) Data 0.406 (0.074) Loss 2.4987 (2.5026) Prec@1 43.359 (43.812) Prec@5 67.578 (69.477)
Epoch: [33][260/5005] Time 0.203 (0.227) Data 0.087 (0.074) Loss 2.3100 (2.5013) Prec@1 43.750 (43.834) Prec@5 69.922 (69.464)
Epoch: [33][270/5005] Time 0.215 (0.227) Data 0.052 (0.075) Loss 2.5058 (2.5006) Prec@1 44.531 (43.832) Prec@5 67.969 (69.498)
Epoch: [33][280/5005] Time 0.218 (0.227) Data 0.043 (0.075) Loss 2.7125 (2.5018) Prec@1 40.234 (43.781) Prec@5 66.016 (69.458)
Epoch: [33][290/5005] Time 0.225 (0.228) Data 0.143 (0.076) Loss 2.3217 (2.5031) Prec@1 51.953 (43.755) Prec@5 73.047 (69.432)
Epoch: [33][300/5005] Time 0.202 (0.228) Data 0.088 (0.078) Loss 2.2338 (2.5027) Prec@1 49.609 (43.786) Prec@5 72.656 (69.449)
Epoch: [33][310/5005] Time 0.400 (0.230) Data 0.311 (0.080) Loss 2.3871 (2.5003) Prec@1 41.406 (43.825) Prec@5 75.781 (69.500)
Epoch: [33][320/5005] Time 0.206 (0.229) Data 0.045 (0.079) Loss 2.8353 (2.5015) Prec@1 35.938 (43.840) Prec@5 67.578 (69.492)
Epoch: [33][330/5005] Time 0.192 (0.229) Data 0.050 (0.080) Loss 2.4023 (2.4999) Prec@1 42.969 (43.851) Prec@5 72.656 (69.516)
Epoch: [33][340/5005] Time 0.200 (0.231) Data 0.051 (0.082) Loss 2.5224 (2.5048) Prec@1 43.359 (43.775) Prec@5 72.656 (69.429)
Epoch: [33][350/5005] Time 0.192 (0.231) Data 0.070 (0.082) Loss 2.5950 (2.5028) Prec@1 39.844 (43.812) Prec@5 65.625 (69.449)
Epoch: [33][360/5005] Time 0.212 (0.230) Data 0.043 (0.081) Loss 2.7250 (2.5031) Prec@1 41.016 (43.815) Prec@5 65.234 (69.433)
Epoch: [33][370/5005] Time 0.212 (0.230) Data 0.041 (0.080) Loss 2.4722 (2.5004) Prec@1 43.750 (43.841) Prec@5 68.750 (69.475)
Epoch: [33][380/5005] Time 0.210 (0.229) Data 0.042 (0.079) Loss 2.6347 (2.5006) Prec@1 44.141 (43.850) Prec@5 66.406 (69.462)
Epoch: [33][390/5005] Time 0.214 (0.229) Data 0.039 (0.078) Loss 2.5200 (2.5006) Prec@1 46.484 (43.865) Prec@5 71.484 (69.473)
Epoch: [33][400/5005] Time 0.215 (0.228) Data 0.044 (0.077) Loss 2.3680 (2.4995) Prec@1 44.531 (43.892) Prec@5 73.438 (69.461)
Epoch: [33][410/5005] Time 0.214 (0.228) Data 0.043 (0.076) Loss 2.2690 (2.4993) Prec@1 46.094 (43.898) Prec@5 75.391 (69.482)
Epoch: [33][420/5005] Time 0.207 (0.228) Data 0.043 (0.075) Loss 2.4219 (2.4984) Prec@1 44.922 (43.905) Prec@5 71.484 (69.502)
Epoch: [33][430/5005] Time 0.212 (0.227) Data 0.041 (0.075) Loss 2.4564 (2.4987) Prec@1 49.219 (43.873) Prec@5 70.312 (69.480)
Epoch: [33][440/5005] Time 0.214 (0.227) Data 0.044 (0.074) Loss 2.4413 (2.4975) Prec@1 50.000 (43.877) Prec@5 70.703 (69.489)
Epoch: [33][450/5005] Time 0.211 (0.227) Data 0.042 (0.073) Loss 2.4491 (2.4979) Prec@1 40.625 (43.847) Prec@5 68.359 (69.462)
Epoch: [33][460/5005] Time 0.210 (0.226) Data 0.041 (0.073) Loss 2.4327 (2.4982) Prec@1 41.016 (43.796) Prec@5 69.141 (69.453)
Epoch: [33][470/5005] Time 0.209 (0.226) Data 0.048 (0.072) Loss 2.3684 (2.4989) Prec@1 43.750 (43.784) Prec@5 71.094 (69.415)
Epoch: [33][480/5005] Time 0.200 (0.226) Data 0.060 (0.072) Loss 2.4463 (2.4993) Prec@1 44.922 (43.782) Prec@5 69.141 (69.418)
Epoch: [33][490/5005] Time 0.211 (0.226) Data 0.043 (0.071) Loss 2.3845 (2.4998) Prec@1 51.172 (43.778) Prec@5 74.219 (69.420)
Epoch: [33][500/5005] Time 0.213 (0.225) Data 0.044 (0.071) Loss 2.6273 (2.5016) Prec@1 41.406 (43.767) Prec@5 67.578 (69.400)
Epoch: [33][510/5005] Time 0.215 (0.225) Data 0.045 (0.070) Loss 2.7795 (2.5024) Prec@1 39.062 (43.732) Prec@5 63.281 (69.390)
Epoch: [33][520/5005] Time 0.210 (0.225) Data 0.042 (0.070) Loss 2.6010 (2.5024) Prec@1 40.625 (43.746) Prec@5 69.531 (69.403)
Epoch: [33][530/5005] Time 0.218 (0.224) Data 0.044 (0.069) Loss 2.3252 (2.5017) Prec@1 49.609 (43.766) Prec@5 71.484 (69.411)
Epoch: [33][540/5005] Time 0.215 (0.224) Data 0.041 (0.069) Loss 2.7343 (2.5021) Prec@1 43.750 (43.741) Prec@5 63.672 (69.401)
Epoch: [33][550/5005] Time 0.210 (0.224) Data 0.041 (0.068) Loss 2.4916 (2.5018) Prec@1 43.750 (43.744) Prec@5 73.438 (69.406)
Epoch: [33][560/5005] Time 0.214 (0.224) Data 0.048 (0.068) Loss 2.6072 (2.5015) Prec@1 40.625 (43.749) Prec@5 67.188 (69.422)
Epoch: [33][570/5005] Time 0.210 (0.224) Data 0.046 (0.068) Loss 2.7290 (2.5026) Prec@1 36.719 (43.747) Prec@5 66.016 (69.393)
Epoch: [33][580/5005] Time 0.216 (0.223) Data 0.049 (0.067) Loss 2.4679 (2.5014) Prec@1 40.234 (43.753) Prec@5 70.312 (69.420)
Epoch: [33][590/5005] Time 0.213 (0.223) Data 0.052 (0.067) Loss 2.6382 (2.5010) Prec@1 39.844 (43.765) Prec@5 64.453 (69.413)
Epoch: [33][600/5005] Time 0.216 (0.223) Data 0.044 (0.067) Loss 2.4265 (2.5024) Prec@1 44.531 (43.740) Prec@5 69.141 (69.408)
Epoch: [33][610/5005] Time 0.214 (0.223) Data 0.042 (0.067) Loss 2.4344 (2.5023) Prec@1 44.531 (43.744) Prec@5 66.797 (69.401)
Epoch: [33][620/5005] Time 0.218 (0.223) Data 0.041 (0.066) Loss 2.4497 (2.5020) Prec@1 45.703 (43.762) Prec@5 71.094 (69.414)
Epoch: [33][630/5005] Time 0.221 (0.222) Data 0.046 (0.066) Loss 2.6563 (2.5017) Prec@1 42.578 (43.764) Prec@5 67.578 (69.429)
Epoch: [33][640/5005] Time 0.216 (0.222) Data 0.041 (0.066) Loss 2.3957 (2.5009) Prec@1 45.703 (43.772) Prec@5 68.750 (69.443)
Epoch: [33][650/5005] Time 0.205 (0.222) Data 0.064 (0.066) Loss 2.6257 (2.5016) Prec@1 39.062 (43.755) Prec@5 64.062 (69.421)
Epoch: [33][660/5005] Time 0.213 (0.222) Data 0.043 (0.065) Loss 2.6797 (2.5010) Prec@1 41.016 (43.774) Prec@5 66.016 (69.445)
Epoch: [33][670/5005] Time 0.216 (0.222) Data 0.039 (0.065) Loss 2.6148 (2.5009) Prec@1 41.406 (43.779) Prec@5 70.312 (69.438)
Epoch: [33][680/5005] Time 0.214 (0.222) Data 0.042 (0.065) Loss 2.4583 (2.5010) Prec@1 43.359 (43.775) Prec@5 73.047 (69.437)
Epoch: [33][690/5005] Time 0.217 (0.222) Data 0.048 (0.064) Loss 2.3913 (2.4995) Prec@1 45.703 (43.808) Prec@5 71.094 (69.460)
Epoch: [33][700/5005] Time 0.202 (0.221) Data 0.047 (0.064) Loss 2.5832 (2.4994) Prec@1 42.578 (43.806) Prec@5 65.625 (69.453)
Epoch: [33][710/5005] Time 0.222 (0.221) Data 0.047 (0.064) Loss 2.4053 (2.4994) Prec@1 45.312 (43.794) Prec@5 70.312 (69.446)
Epoch: [33][720/5005] Time 0.208 (0.221) Data 0.062 (0.064) Loss 2.2809 (2.4988) Prec@1 46.484 (43.814) Prec@5 74.219 (69.454)
Epoch: [33][730/5005] Time 0.207 (0.221) Data 0.040 (0.064) Loss 2.6425 (2.4990) Prec@1 43.359 (43.814) Prec@5 67.578 (69.444)
Epoch: [33][740/5005] Time 0.206 (0.221) Data 0.046 (0.063) Loss 2.7012 (2.4995) Prec@1 41.797 (43.806) Prec@5 62.109 (69.425)
Epoch: [33][750/5005] Time 0.214 (0.221) Data 0.045 (0.063) Loss 2.2601 (2.4994) Prec@1 44.531 (43.807) Prec@5 73.828 (69.420)
Epoch: [33][760/5005] Time 0.222 (0.221) Data 0.042 (0.063) Loss 2.4590 (2.4999) Prec@1 44.141 (43.794) Prec@5 71.094 (69.414)
Epoch: [33][770/5005] Time 0.208 (0.220) Data 0.040 (0.063) Loss 2.5364 (2.4990) Prec@1 43.359 (43.811) Prec@5 67.578 (69.421)
Epoch: [33][780/5005] Time 0.211 (0.220) Data 0.044 (0.063) Loss 2.4546 (2.4984) Prec@1 44.141 (43.812) Prec@5 69.531 (69.416)
Epoch: [33][790/5005] Time 0.209 (0.220) Data 0.042 (0.062) Loss 2.4592 (2.4981) Prec@1 43.359 (43.815) Prec@5 69.922 (69.420)
Epoch: [33][800/5005] Time 0.201 (0.220) Data 0.039 (0.062) Loss 2.3969 (2.4974) Prec@1 47.656 (43.824) Prec@5 71.875 (69.429)
Epoch: [33][810/5005] Time 0.202 (0.220) Data 0.038 (0.062) Loss 2.5758 (2.4976) Prec@1 44.141 (43.827) Prec@5 67.188 (69.428)
Epoch: [33][820/5005] Time 0.214 (0.220) Data 0.048 (0.062) Loss 2.6649 (2.4975) Prec@1 44.922 (43.840) Prec@5 64.844 (69.431)
Epoch: [33][830/5005] Time 0.207 (0.220) Data 0.050 (0.062) Loss 2.4277 (2.4977) Prec@1 42.578 (43.833) Prec@5 71.484 (69.429)
Epoch: [33][840/5005] Time 0.207 (0.220) Data 0.050 (0.062) Loss 2.2922 (2.4978) Prec@1 48.047 (43.838) Prec@5 70.312 (69.437)
Epoch: [33][850/5005] Time 0.215 (0.220) Data 0.048 (0.062) Loss 2.5612 (2.4976) Prec@1 41.016 (43.837) Prec@5 69.531 (69.443)
Epoch: [33][860/5005] Time 0.197 (0.220) Data 0.045 (0.061) Loss 2.4659 (2.4976) Prec@1 42.188 (43.851) Prec@5 70.312 (69.436)
Epoch: [33][870/5005] Time 0.222 (0.220) Data 0.135 (0.062) Loss 2.5180 (2.4963) Prec@1 39.844 (43.872) Prec@5 69.922 (69.451)
Epoch: [33][880/5005] Time 0.455 (0.220) Data 0.368 (0.062) Loss 2.4981 (2.4964) Prec@1 41.406 (43.879) Prec@5 64.844 (69.443)
Epoch: [33][890/5005] Time 0.201 (0.220) Data 0.043 (0.062) Loss 2.7820 (2.4962) Prec@1 38.672 (43.887) Prec@5 62.891 (69.438)
Epoch: [33][900/5005] Time 0.213 (0.220) Data 0.043 (0.063) Loss 2.3285 (2.4955) Prec@1 49.219 (43.896) Prec@5 71.484 (69.447)
Epoch: [33][910/5005] Time 0.211 (0.220) Data 0.042 (0.063) Loss 2.4052 (2.4954) Prec@1 43.750 (43.888) Prec@5 71.875 (69.443)
Epoch: [33][920/5005] Time 0.209 (0.220) Data 0.043 (0.063) Loss 2.4874 (2.4947) Prec@1 44.531 (43.904) Prec@5 69.922 (69.469)
Epoch: [33][930/5005] Time 0.195 (0.220) Data 0.045 (0.063) Loss 2.5194 (2.4943) Prec@1 44.531 (43.903) Prec@5 67.969 (69.478)
Epoch: [33][940/5005] Time 0.198 (0.221) Data 0.043 (0.064) Loss 2.3803 (2.4944) Prec@1 44.141 (43.901) Prec@5 71.484 (69.479)
Epoch: [33][950/5005] Time 0.197 (0.222) Data 0.045 (0.065) Loss 2.5533 (2.4955) Prec@1 45.703 (43.897) Prec@5 68.750 (69.461)
Epoch: [33][960/5005] Time 0.213 (0.222) Data 0.046 (0.065) Loss 2.7552 (2.4957) Prec@1 45.703 (43.906) Prec@5 66.406 (69.460)
Epoch: [33][970/5005] Time 0.192 (0.222) Data 0.042 (0.066) Loss 2.2041 (2.4954) Prec@1 48.047 (43.907) Prec@5 71.484 (69.462)
Epoch: [33][980/5005] Time 0.216 (0.222) Data 0.052 (0.066) Loss 2.3882 (2.4945) Prec@1 44.141 (43.914) Prec@5 69.141 (69.477)
Epoch: [33][990/5005] Time 0.207 (0.222) Data 0.046 (0.066) Loss 2.5631 (2.4951) Prec@1 41.797 (43.891) Prec@5 70.312 (69.469)
Epoch: [33][1000/5005] Time 0.209 (0.222) Data 0.040 (0.065) Loss 2.2827 (2.4944) Prec@1 52.344 (43.910) Prec@5 72.656 (69.470)
Epoch: [33][1010/5005] Time 0.202 (0.221) Data 0.039 (0.065) Loss 2.4668 (2.4938) Prec@1 45.703 (43.920) Prec@5 69.141 (69.477)
Epoch: [33][1020/5005] Time 0.206 (0.221) Data 0.060 (0.065) Loss 2.2873 (2.4943) Prec@1 48.828 (43.916) Prec@5 71.484 (69.463)
Epoch: [33][1030/5005] Time 0.198 (0.221) Data 0.044 (0.065) Loss 2.4695 (2.4938) Prec@1 47.656 (43.930) Prec@5 68.750 (69.470)
Epoch: [33][1040/5005] Time 0.210 (0.221) Data 0.046 (0.065) Loss 2.4288 (2.4935) Prec@1 41.797 (43.920) Prec@5 68.359 (69.477)
Epoch: [33][1050/5005] Time 0.207 (0.221) Data 0.041 (0.064) Loss 2.6437 (2.4940) Prec@1 40.234 (43.903) Prec@5 66.406 (69.474)
Epoch: [33][1060/5005] Time 0.199 (0.221) Data 0.044 (0.064) Loss 2.6278 (2.4945) Prec@1 41.406 (43.909) Prec@5 67.188 (69.469)
Epoch: [33][1070/5005] Time 0.202 (0.221) Data 0.049 (0.064) Loss 2.4771 (2.4946) Prec@1 42.969 (43.908) Prec@5 69.922 (69.467)
Epoch: [33][1080/5005] Time 0.215 (0.221) Data 0.042 (0.064) Loss 2.5160 (2.4951) Prec@1 44.922 (43.908) Prec@5 71.875 (69.468)
Epoch: [33][1090/5005] Time 0.208 (0.221) Data 0.042 (0.064) Loss 2.2700 (2.4952) Prec@1 48.047 (43.906) Prec@5 71.484 (69.471)
Epoch: [33][1100/5005] Time 0.213 (0.220) Data 0.047 (0.064) Loss 2.4176 (2.4946) Prec@1 47.656 (43.920) Prec@5 69.531 (69.474)
Epoch: [33][1110/5005] Time 0.201 (0.220) Data 0.052 (0.063) Loss 2.3626 (2.4948) Prec@1 44.922 (43.917) Prec@5 69.922 (69.470)
Epoch: [33][1120/5005] Time 0.213 (0.220) Data 0.045 (0.063) Loss 2.2665 (2.4941) Prec@1 47.266 (43.927) Prec@5 75.781 (69.489)
Epoch: [33][1130/5005] Time 0.215 (0.220) Data 0.052 (0.063) Loss 2.5032 (2.4940) Prec@1 45.312 (43.930) Prec@5 71.094 (69.491)
Epoch: [33][1140/5005] Time 0.209 (0.220) Data 0.044 (0.063) Loss 2.5140 (2.4934) Prec@1 43.359 (43.937) Prec@5 68.750 (69.498)
Epoch: [33][1150/5005] Time 0.213 (0.220) Data 0.041 (0.063) Loss 2.4656 (2.4930) Prec@1 42.188 (43.943) Prec@5 68.359 (69.507)
Epoch: [33][1160/5005] Time 0.208 (0.220) Data 0.045 (0.063) Loss 2.5435 (2.4929) Prec@1 42.578 (43.943) Prec@5 69.141 (69.511)
Epoch: [33][1170/5005] Time 0.219 (0.220) Data 0.046 (0.063) Loss 2.4285 (2.4925) Prec@1 42.188 (43.948) Prec@5 69.141 (69.517)
Epoch: [33][1180/5005] Time 0.212 (0.220) Data 0.043 (0.063) Loss 2.5727 (2.4922) Prec@1 40.234 (43.945) Prec@5 67.578 (69.522)
Epoch: [33][1190/5005] Time 0.210 (0.220) Data 0.042 (0.063) Loss 2.3504 (2.4919) Prec@1 44.922 (43.955) Prec@5 69.922 (69.526)
Epoch: [33][1200/5005] Time 0.206 (0.220) Data 0.039 (0.063) Loss 2.5051 (2.4918) Prec@1 42.578 (43.954) Prec@5 69.922 (69.525)
Epoch: [33][1210/5005] Time 0.216 (0.220) Data 0.044 (0.063) Loss 2.4961 (2.4919) Prec@1 43.359 (43.956) Prec@5 68.750 (69.532)
Epoch: [33][1220/5005] Time 0.209 (0.220) Data 0.099 (0.063) Loss 2.3939 (2.4918) Prec@1 44.141 (43.958) Prec@5 68.359 (69.531)
Epoch: [33][1230/5005] Time 0.208 (0.220) Data 0.046 (0.063) Loss 2.5477 (2.4916) Prec@1 41.406 (43.958) Prec@5 71.094 (69.538)
Epoch: [33][1240/5005] Time 0.206 (0.220) Data 0.129 (0.063) Loss 2.4622 (2.4918) Prec@1 44.141 (43.955) Prec@5 69.922 (69.530)
Epoch: [33][1250/5005] Time 0.201 (0.220) Data 0.046 (0.063) Loss 2.7560 (2.4922) Prec@1 42.578 (43.949) Prec@5 64.062 (69.523)
Epoch: [33][1260/5005] Time 0.197 (0.220) Data 0.062 (0.063) Loss 2.1854 (2.4914) Prec@1 51.953 (43.963) Prec@5 73.438 (69.542)
Epoch: [33][1270/5005] Time 0.207 (0.220) Data 0.053 (0.064) Loss 2.4884 (2.4921) Prec@1 43.359 (43.951) Prec@5 64.844 (69.524)
Epoch: [33][1280/5005] Time 0.372 (0.220) Data 0.288 (0.064) Loss 2.4332 (2.4923) Prec@1 45.703 (43.948) Prec@5 69.922 (69.526)
Epoch: [33][1290/5005] Time 0.207 (0.220) Data 0.045 (0.064) Loss 2.2690 (2.4918) Prec@1 47.266 (43.957) Prec@5 71.094 (69.529)
Epoch: [33][1300/5005] Time 0.200 (0.220) Data 0.051 (0.064) Loss 2.3867 (2.4917) Prec@1 46.875 (43.957) Prec@5 71.484 (69.531)
Epoch: [33][1310/5005] Time 0.302 (0.220) Data 0.224 (0.064) Loss 2.6374 (2.4918) Prec@1 41.406 (43.957) Prec@5 67.969 (69.528)
Epoch: [33][1320/5005] Time 0.198 (0.220) Data 0.061 (0.064) Loss 2.5662 (2.4917) Prec@1 45.703 (43.972) Prec@5 68.359 (69.531)
Epoch: [33][1330/5005] Time 0.198 (0.220) Data 0.047 (0.064) Loss 2.4607 (2.4919) Prec@1 43.359 (43.972) Prec@5 72.266 (69.528)
Epoch: [33][1340/5005] Time 0.209 (0.220) Data 0.045 (0.065) Loss 2.4422 (2.4917) Prec@1 44.531 (43.976) Prec@5 70.312 (69.531)
Epoch: [33][1350/5005] Time 0.206 (0.220) Data 0.040 (0.065) Loss 2.8547 (2.4921) Prec@1 37.500 (43.967) Prec@5 65.625 (69.527)
Epoch: [33][1360/5005] Time 0.455 (0.220) Data 0.365 (0.065) Loss 2.3961 (2.4920) Prec@1 49.219 (43.966) Prec@5 69.922 (69.528)
Epoch: [33][1370/5005] Time 0.188 (0.220) Data 0.050 (0.065) Loss 2.5967 (2.4918) Prec@1 41.406 (43.960) Prec@5 68.750 (69.535)
Epoch: [33][1380/5005] Time 0.200 (0.220) Data 0.038 (0.065) Loss 2.5422 (2.4918) Prec@1 44.141 (43.960) Prec@5 69.531 (69.536)
Epoch: [33][1390/5005] Time 0.200 (0.220) Data 0.063 (0.065) Loss 2.4019 (2.4915) Prec@1 46.484 (43.972) Prec@5 70.703 (69.537)
Epoch: [33][1400/5005] Time 0.326 (0.220) Data 0.241 (0.065) Loss 2.4562 (2.4907) Prec@1 47.266 (43.979) Prec@5 67.969 (69.550)
Epoch: [33][1410/5005] Time 0.203 (0.220) Data 0.051 (0.065) Loss 2.5036 (2.4905) Prec@1 42.188 (43.986) Prec@5 72.266 (69.554)
Epoch: [33][1420/5005] Time 0.198 (0.221) Data 0.038 (0.065) Loss 2.8263 (2.4906) Prec@1 39.062 (43.984) Prec@5 65.234 (69.551)
Epoch: [33][1430/5005] Time 0.198 (0.221) Data 0.039 (0.065) Loss 2.1308 (2.4900) Prec@1 48.438 (43.999) Prec@5 75.781 (69.570)
Epoch: [33][1440/5005] Time 0.352 (0.221) Data 0.260 (0.066) Loss 2.1697 (2.4897) Prec@1 48.828 (43.998) Prec@5 76.953 (69.573)
Epoch: [33][1450/5005] Time 0.195 (0.221) Data 0.044 (0.066) Loss 2.3042 (2.4897) Prec@1 46.484 (43.995) Prec@5 74.219 (69.574)
Epoch: [33][1460/5005] Time 0.203 (0.221) Data 0.040 (0.066) Loss 2.5561 (2.4895) Prec@1 41.797 (43.998) Prec@5 66.016 (69.574)
Epoch: [33][1470/5005] Time 0.211 (0.221) Data 0.043 (0.066) Loss 2.4944 (2.4899) Prec@1 45.312 (44.002) Prec@5 71.094 (69.570)
Epoch: [33][1480/5005] Time 0.294 (0.221) Data 0.204 (0.066) Loss 2.2873 (2.4901) Prec@1 45.312 (43.991) Prec@5 73.438 (69.566)
Epoch: [33][1490/5005] Time 0.335 (0.221) Data 0.244 (0.066) Loss 2.7646 (2.4898) Prec@1 38.281 (43.991) Prec@5 65.234 (69.563)
Epoch: [33][1500/5005] Time 0.194 (0.221) Data 0.110 (0.066) Loss 2.5574 (2.4897) Prec@1 44.922 (43.999) Prec@5 68.750 (69.563)
Epoch: [33][1510/5005] Time 0.210 (0.221) Data 0.045 (0.066) Loss 2.3101 (2.4895) Prec@1 48.438 (44.003) Prec@5 70.312 (69.569)
Epoch: [33][1520/5005] Time 0.208 (0.221) Data 0.042 (0.066) Loss 2.5871 (2.4891) Prec@1 42.969 (44.007) Prec@5 69.531 (69.580)
Epoch: [33][1530/5005] Time 0.250 (0.221) Data 0.164 (0.066) Loss 2.6428 (2.4891) Prec@1 44.141 (44.011) Prec@5 63.672 (69.577)
Epoch: [33][1540/5005] Time 0.205 (0.221) Data 0.054 (0.067) Loss 2.6189 (2.4895) Prec@1 46.094 (44.009) Prec@5 62.500 (69.569)
Epoch: [33][1550/5005] Time 0.200 (0.221) Data 0.063 (0.067) Loss 2.3549 (2.4892) Prec@1 49.219 (44.019) Prec@5 73.047 (69.578)
Epoch: [33][1560/5005] Time 0.201 (0.221) Data 0.043 (0.067) Loss 2.3436 (2.4894) Prec@1 46.094 (44.018) Prec@5 70.703 (69.581)
Epoch: [33][1570/5005] Time 0.205 (0.221) Data 0.040 (0.067) Loss 2.3488 (2.4889) Prec@1 52.344 (44.033) Prec@5 70.703 (69.584)
Epoch: [33][1580/5005] Time 0.342 (0.221) Data 0.255 (0.067) Loss 2.3571 (2.4892) Prec@1 43.750 (44.023) Prec@5 70.312 (69.575)
Epoch: [33][1590/5005] Time 0.199 (0.222) Data 0.040 (0.068) Loss 2.4908 (2.4891) Prec@1 48.438 (44.022) Prec@5 68.359 (69.575)
Epoch: [33][1600/5005] Time 0.204 (0.222) Data 0.040 (0.068) Loss 2.5678 (2.4891) Prec@1 42.578 (44.028) Prec@5 66.016 (69.576)
Epoch: [33][1610/5005] Time 0.201 (0.222) Data 0.039 (0.068) Loss 2.5893 (2.4892) Prec@1 44.531 (44.029) Prec@5 66.406 (69.573)
Epoch: [33][1620/5005] Time 0.335 (0.222) Data 0.255 (0.068) Loss 2.7379 (2.4890) Prec@1 42.578 (44.028) Prec@5 64.844 (69.575)
Epoch: [33][1630/5005] Time 0.260 (0.222) Data 0.165 (0.068) Loss 2.3164 (2.4888) Prec@1 47.266 (44.026) Prec@5 72.266 (69.577)
Epoch: [33][1640/5005] Time 0.206 (0.222) Data 0.048 (0.068) Loss 2.4849 (2.4891) Prec@1 43.359 (44.024) Prec@5 69.922 (69.576)
Epoch: [33][1650/5005] Time 0.203 (0.221) Data 0.039 (0.068) Loss 2.6219 (2.4893) Prec@1 40.234 (44.019) Prec@5 67.188 (69.576)
Epoch: [33][1660/5005] Time 0.214 (0.221) Data 0.041 (0.068) Loss 2.4427 (2.4887) Prec@1 46.875 (44.033) Prec@5 69.922 (69.581)
Epoch: [33][1670/5005] Time 0.252 (0.221) Data 0.165 (0.068) Loss 2.2438 (2.4887) Prec@1 51.172 (44.039) Prec@5 72.656 (69.585)
Epoch: [33][1680/5005] Time 0.212 (0.221) Data 0.046 (0.068) Loss 2.5137 (2.4889) Prec@1 44.922 (44.044) Prec@5 70.312 (69.585)
Epoch: [33][1690/5005] Time 0.202 (0.221) Data 0.046 (0.068) Loss 2.3463 (2.4885) Prec@1 48.047 (44.050) Prec@5 72.266 (69.595)
Epoch: [33][1700/5005] Time 0.195 (0.221) Data 0.061 (0.068) Loss 2.4965 (2.4880) Prec@1 45.312 (44.053) Prec@5 71.094 (69.604)
Epoch: [33][1710/5005] Time 0.212 (0.221) Data 0.039 (0.068) Loss 2.3765 (2.4877) Prec@1 42.578 (44.051) Prec@5 70.703 (69.610)
Epoch: [33][1720/5005] Time 0.211 (0.222) Data 0.045 (0.068) Loss 2.6037 (2.4876) Prec@1 41.797 (44.050) Prec@5 68.359 (69.613)
Epoch: [33][1730/5005] Time 0.224 (0.222) Data 0.047 (0.068) Loss 2.5894 (2.4874) Prec@1 38.281 (44.050) Prec@5 67.188 (69.620)
Epoch: [33][1740/5005] Time 0.204 (0.222) Data 0.044 (0.068) Loss 2.6827 (2.4872) Prec@1 38.672 (44.049) Prec@5 66.406 (69.627)
Epoch: [33][1750/5005] Time 0.210 (0.222) Data 0.045 (0.068) Loss 2.4046 (2.4870) Prec@1 42.969 (44.052) Prec@5 71.094 (69.634)
Epoch: [33][1760/5005] Time 0.199 (0.222) Data 0.050 (0.068) Loss 2.2675 (2.4870) Prec@1 46.875 (44.052) Prec@5 75.391 (69.637)
Epoch: [33][1770/5005] Time 0.203 (0.222) Data 0.053 (0.068) Loss 2.6074 (2.4871) Prec@1 41.406 (44.051) Prec@5 70.312 (69.640)
Epoch: [33][1780/5005] Time 0.209 (0.222) Data 0.047 (0.068) Loss 2.3421 (2.4870) Prec@1 44.922 (44.052) Prec@5 74.609 (69.642)
Epoch: [33][1790/5005] Time 0.211 (0.222) Data 0.040 (0.068) Loss 2.3215 (2.4867) Prec@1 44.922 (44.054) Prec@5 71.875 (69.647)
Epoch: [33][1800/5005] Time 0.209 (0.222) Data 0.040 (0.068) Loss 2.4152 (2.4864) Prec@1 44.922 (44.061) Prec@5 71.094 (69.653)
Epoch: [33][1810/5005] Time 0.206 (0.222) Data 0.046 (0.068) Loss 2.3835 (2.4862) Prec@1 47.656 (44.060) Prec@5 68.750 (69.657)
Epoch: [33][1820/5005] Time 0.205 (0.222) Data 0.044 (0.068) Loss 2.5744 (2.4861) Prec@1 41.016 (44.062) Prec@5 67.578 (69.661)
Epoch: [33][1830/5005] Time 0.207 (0.222) Data 0.040 (0.068) Loss 2.2957 (2.4855) Prec@1 48.828 (44.076) Prec@5 75.781 (69.673)
Epoch: [33][1840/5005] Time 0.210 (0.222) Data 0.039 (0.068) Loss 2.6210 (2.4854) Prec@1 41.016 (44.077) Prec@5 70.703 (69.672)
Epoch: [33][1850/5005] Time 0.416 (0.222) Data 0.333 (0.068) Loss 2.4450 (2.4853) Prec@1 44.531 (44.076) Prec@5 70.312 (69.674)
Epoch: [33][1860/5005] Time 0.203 (0.222) Data 0.046 (0.068) Loss 2.4335 (2.4853) Prec@1 44.141 (44.068) Prec@5 70.703 (69.678)
Epoch: [33][1870/5005] Time 0.204 (0.222) Data 0.059 (0.068) Loss 2.6824 (2.4858) Prec@1 37.500 (44.054) Prec@5 66.016 (69.670)
Epoch: [33][1880/5005] Time 0.205 (0.222) Data 0.047 (0.068) Loss 2.5266 (2.4860) Prec@1 42.969 (44.052) Prec@5 68.359 (69.660)
Epoch: [33][1890/5005] Time 0.202 (0.222) Data 0.044 (0.069) Loss 2.5703 (2.4860) Prec@1 42.188 (44.053) Prec@5 67.578 (69.659)
Epoch: [33][1900/5005] Time 0.364 (0.222) Data 0.277 (0.069) Loss 2.4065 (2.4865) Prec@1 44.531 (44.048) Prec@5 71.875 (69.653)
Epoch: [33][1910/5005] Time 0.223 (0.222) Data 0.139 (0.069) Loss 2.4825 (2.4865) Prec@1 42.188 (44.046) Prec@5 67.578 (69.647)
Epoch: [33][1920/5005] Time 0.204 (0.222) Data 0.051 (0.069) Loss 2.4316 (2.4863) Prec@1 44.141 (44.047) Prec@5 68.750 (69.646)
Epoch: [33][1930/5005] Time 0.201 (0.222) Data 0.043 (0.069) Loss 2.5277 (2.4861) Prec@1 44.922 (44.053) Prec@5 66.797 (69.648)
Epoch: [33][1940/5005] Time 0.413 (0.222) Data 0.332 (0.069) Loss 2.2263 (2.4857) Prec@1 51.953 (44.059) Prec@5 75.391 (69.652)
Epoch: [33][1950/5005] Time 0.202 (0.222) Data 0.044 (0.069) Loss 2.5109 (2.4855) Prec@1 39.844 (44.064) Prec@5 71.094 (69.658)
Epoch: [33][1960/5005] Time 0.211 (0.222) Data 0.043 (0.069) Loss 2.3299 (2.4853) Prec@1 46.875 (44.067) Prec@5 73.047 (69.661)
Epoch: [33][1970/5005] Time 0.203 (0.222) Data 0.041 (0.069) Loss 2.4516 (2.4855) Prec@1 43.750 (44.059) Prec@5 70.703 (69.657)
Epoch: [33][1980/5005] Time 0.196 (0.222) Data 0.046 (0.069) Loss 2.2599 (2.4851) Prec@1 51.562 (44.065) Prec@5 70.703 (69.667)
Epoch: [33][1990/5005] Time 0.196 (0.222) Data 0.114 (0.069) Loss 2.2564 (2.4849) Prec@1 46.875 (44.070) Prec@5 73.047 (69.671)
Epoch: [33][2000/5005] Time 0.206 (0.222) Data 0.046 (0.069) Loss 2.3687 (2.4850) Prec@1 44.922 (44.071) Prec@5 69.922 (69.668)
Epoch: [33][2010/5005] Time 0.207 (0.222) Data 0.052 (0.069) Loss 2.3771 (2.4851) Prec@1 44.141 (44.062) Prec@5 71.875 (69.667)
Epoch: [33][2020/5005] Time 0.202 (0.222) Data 0.048 (0.069) Loss 2.3493 (2.4851) Prec@1 46.094 (44.059) Prec@5 72.266 (69.666)
Epoch: [33][2030/5005] Time 0.205 (0.222) Data 0.047 (0.070) Loss 2.3732 (2.4853) Prec@1 46.484 (44.061) Prec@5 73.438 (69.662)
Epoch: [33][2040/5005] Time 0.203 (0.222) Data 0.044 (0.070) Loss 2.1069 (2.4851) Prec@1 51.172 (44.062) Prec@5 76.562 (69.666)
Epoch: [33][2050/5005] Time 0.211 (0.222) Data 0.045 (0.070) Loss 2.5809 (2.4850) Prec@1 44.531 (44.062) Prec@5 69.531 (69.672)
Epoch: [33][2060/5005] Time 0.204 (0.222) Data 0.044 (0.070) Loss 2.4483 (2.4849) Prec@1 42.578 (44.057) Prec@5 68.359 (69.672)
Epoch: [33][2070/5005] Time 0.189 (0.222) Data 0.100 (0.070) Loss 2.7162 (2.4849) Prec@1 41.406 (44.064) Prec@5 64.062 (69.669)
Epoch: [33][2080/5005] Time 0.210 (0.222) Data 0.047 (0.070) Loss 2.4279 (2.4848) Prec@1 44.141 (44.071) Prec@5 70.703 (69.671)
Epoch: [33][2090/5005] Time 0.213 (0.222) Data 0.051 (0.070) Loss 2.2617 (2.4843) Prec@1 47.656 (44.083) Prec@5 73.828 (69.679)
Epoch: [33][2100/5005] Time 0.204 (0.222) Data 0.044 (0.070) Loss 2.5269 (2.4840) Prec@1 42.969 (44.084) Prec@5 69.141 (69.684)
Epoch: [33][2110/5005] Time 0.203 (0.222) Data 0.059 (0.070) Loss 2.3443 (2.4841) Prec@1 48.047 (44.081) Prec@5 70.312 (69.677)
Epoch: [33][2120/5005] Time 0.208 (0.222) Data 0.050 (0.070) Loss 2.7283 (2.4840) Prec@1 42.188 (44.082) Prec@5 66.797 (69.681)
Epoch: [33][2130/5005] Time 0.194 (0.222) Data 0.059 (0.070) Loss 2.4847 (2.4835) Prec@1 43.359 (44.095) Prec@5 65.625 (69.689)
Epoch: [33][2140/5005] Time 0.202 (0.222) Data 0.044 (0.070) Loss 2.4578 (2.4835) Prec@1 42.578 (44.095) Prec@5 67.578 (69.688)
Epoch: [33][2150/5005] Time 0.196 (0.222) Data 0.055 (0.070) Loss 2.2957 (2.4835) Prec@1 44.141 (44.094) Prec@5 70.312 (69.689)
Epoch: [33][2160/5005] Time 0.437 (0.222) Data 0.361 (0.071) Loss 2.4025 (2.4834) Prec@1 44.531 (44.095) Prec@5 69.922 (69.691)
Epoch: [33][2170/5005] Time 0.207 (0.222) Data 0.046 (0.071) Loss 2.3723 (2.4832) Prec@1 46.875 (44.099) Prec@5 71.094 (69.694)
Epoch: [33][2180/5005] Time 0.199 (0.222) Data 0.046 (0.071) Loss 2.5642 (2.4830) Prec@1 48.438 (44.103) Prec@5 69.922 (69.700)
Epoch: [33][2190/5005] Time 0.202 (0.222) Data 0.050 (0.071) Loss 2.7578 (2.4830) Prec@1 39.844 (44.106) Prec@5 64.844 (69.703)
Epoch: [33][2200/5005] Time 0.202 (0.222) Data 0.040 (0.071) Loss 2.4431 (2.4831) Prec@1 46.094 (44.103) Prec@5 67.578 (69.700)
Epoch: [33][2210/5005] Time 0.186 (0.222) Data 0.055 (0.071) Loss 2.4672 (2.4833) Prec@1 47.266 (44.104) Prec@5 71.094 (69.699)
Epoch: [33][2220/5005] Time 0.461 (0.222) Data 0.381 (0.071) Loss 2.5753 (2.4831) Prec@1 44.531 (44.106) Prec@5 67.188 (69.701)
Epoch: [33][2230/5005] Time 0.199 (0.222) Data 0.061 (0.071) Loss 2.4404 (2.4831) Prec@1 50.781 (44.108) Prec@5 72.266 (69.700)
Epoch: [33][2240/5005] Time 0.203 (0.222) Data 0.045 (0.071) Loss 2.5313 (2.4832) Prec@1 44.922 (44.108) Prec@5 70.703 (69.701)
Epoch: [33][2250/5005] Time 0.205 (0.222) Data 0.042 (0.071) Loss 2.2107 (2.4830) Prec@1 44.922 (44.111) Prec@5 74.609 (69.704)
Epoch: [33][2260/5005] Time 0.201 (0.222) Data 0.047 (0.071) Loss 2.3493 (2.4826) Prec@1 45.312 (44.120) Prec@5 73.047 (69.709)
Epoch: [33][2270/5005] Time 0.196 (0.222) Data 0.053 (0.071) Loss 2.6332 (2.4824) Prec@1 40.625 (44.126) Prec@5 66.797 (69.713)
Epoch: [33][2280/5005] Time 0.275 (0.222) Data 0.187 (0.071) Loss 2.5922 (2.4824) Prec@1 43.359 (44.128) Prec@5 71.094 (69.716)
Epoch: [33][2290/5005] Time 0.198 (0.222) Data 0.054 (0.071) Loss 2.2147 (2.4823) Prec@1 50.781 (44.129) Prec@5 74.219 (69.719)
Epoch: [33][2300/5005] Time 0.199 (0.222) Data 0.047 (0.071) Loss 2.3629 (2.4823) Prec@1 46.484 (44.130) Prec@5 69.922 (69.718)
Epoch: [33][2310/5005] Time 0.204 (0.222) Data 0.051 (0.072) Loss 2.3733 (2.4822) Prec@1 46.875 (44.136) Prec@5 70.312 (69.719)
Epoch: [33][2320/5005] Time 0.406 (0.222) Data 0.325 (0.072) Loss 2.6366 (2.4823) Prec@1 42.578 (44.138) Prec@5 67.969 (69.718)
Epoch: [33][2330/5005] Time 0.194 (0.222) Data 0.044 (0.072) Loss 2.5175 (2.4820) Prec@1 48.047 (44.146) Prec@5 67.969 (69.721)
Epoch: [33][2340/5005] Time 0.694 (0.223) Data 0.601 (0.072) Loss 2.5201 (2.4818) Prec@1 40.234 (44.148) Prec@5 66.016 (69.721)
Epoch: [33][2350/5005] Time 0.194 (0.223) Data 0.049 (0.072) Loss 2.4988 (2.4815) Prec@1 44.531 (44.149) Prec@5 67.188 (69.720)
Epoch: [33][2360/5005] Time 0.195 (0.223) Data 0.048 (0.072) Loss 2.3525 (2.4816) Prec@1 50.000 (44.154) Prec@5 71.094 (69.717)
Epoch: [33][2370/5005] Time 0.207 (0.223) Data 0.046 (0.072) Loss 2.5067 (2.4816) Prec@1 45.312 (44.152) Prec@5 67.188 (69.713)
Epoch: [33][2380/5005] Time 0.200 (0.223) Data 0.062 (0.072) Loss 2.5350 (2.4815) Prec@1 43.359 (44.154) Prec@5 68.750 (69.716)
Epoch: [33][2390/5005] Time 0.228 (0.223) Data 0.139 (0.072) Loss 2.4207 (2.4813) Prec@1 43.359 (44.158) Prec@5 71.484 (69.717)
Epoch: [33][2400/5005] Time 0.685 (0.223) Data 0.603 (0.072) Loss 2.4318 (2.4812) Prec@1 45.312 (44.156) Prec@5 66.797 (69.716)
Epoch: [33][2410/5005] Time 0.198 (0.223) Data 0.050 (0.072) Loss 2.7293 (2.4811) Prec@1 40.234 (44.160) Prec@5 63.672 (69.713)
Epoch: [33][2420/5005] Time 0.191 (0.223) Data 0.049 (0.072) Loss 2.5831 (2.4809) Prec@1 44.141 (44.162) Prec@5 67.578 (69.717)
Epoch: [33][2430/5005] Time 0.207 (0.223) Data 0.047 (0.072) Loss 2.3816 (2.4809) Prec@1 44.531 (44.163) Prec@5 71.484 (69.720)
Epoch: [33][2440/5005] Time 0.194 (0.223) Data 0.046 (0.072) Loss 2.2283 (2.4808) Prec@1 51.562 (44.171) Prec@5 74.609 (69.720)
Epoch: [33][2450/5005] Time 0.203 (0.222) Data 0.041 (0.072) Loss 2.3991 (2.4806) Prec@1 46.875 (44.178) Prec@5 71.094 (69.721)
Epoch: [33][2460/5005] Time 0.412 (0.223) Data 0.321 (0.072) Loss 2.4588 (2.4804) Prec@1 43.359 (44.178) Prec@5 67.188 (69.724)
Epoch: [33][2470/5005] Time 0.193 (0.223) Data 0.055 (0.073) Loss 2.2568 (2.4800) Prec@1 47.266 (44.183) Prec@5 71.484 (69.729)
Epoch: [33][2480/5005] Time 0.200 (0.223) Data 0.045 (0.073) Loss 2.5788 (2.4801) Prec@1 40.625 (44.179) Prec@5 70.703 (69.729)
Epoch: [33][2490/5005] Time 0.219 (0.223) Data 0.044 (0.072) Loss 2.3143 (2.4801) Prec@1 47.266 (44.184) Prec@5 71.875 (69.730)
Epoch: [33][2500/5005] Time 0.200 (0.223) Data 0.055 (0.073) Loss 2.5465 (2.4799) Prec@1 41.406 (44.192) Prec@5 70.703 (69.734)
Epoch: [33][2510/5005] Time 0.208 (0.223) Data 0.043 (0.073) Loss 2.5471 (2.4799) Prec@1 45.703 (44.191) Prec@5 68.359 (69.734)
Epoch: [33][2520/5005] Time 0.201 (0.223) Data 0.076 (0.073) Loss 2.4762 (2.4799) Prec@1 46.484 (44.193) Prec@5 69.531 (69.734)
Epoch: [33][2530/5005] Time 0.198 (0.223) Data 0.046 (0.073) Loss 2.6229 (2.4800) Prec@1 42.969 (44.195) Prec@5 65.625 (69.730)
Epoch: [33][2540/5005] Time 0.204 (0.223) Data 0.042 (0.073) Loss 2.3669 (2.4800) Prec@1 43.750 (44.197) Prec@5 73.438 (69.733)
Epoch: [33][2550/5005] Time 0.207 (0.223) Data 0.042 (0.073) Loss 2.4417 (2.4800) Prec@1 42.578 (44.200) Prec@5 71.094 (69.740)
Epoch: [33][2560/5005] Time 0.296 (0.223) Data 0.210 (0.073) Loss 2.6122 (2.4800) Prec@1 40.625 (44.200) Prec@5 66.797 (69.737)
Epoch: [33][2570/5005] Time 0.201 (0.223) Data 0.043 (0.073) Loss 2.4653 (2.4803) Prec@1 41.797 (44.194) Prec@5 69.141 (69.735)
Epoch: [33][2580/5005] Time 0.200 (0.223) Data 0.047 (0.073) Loss 2.5243 (2.4807) Prec@1 44.531 (44.191) Prec@5 68.359 (69.731)
Epoch: [33][2590/5005] Time 0.196 (0.223) Data 0.056 (0.073) Loss 2.5870 (2.4804) Prec@1 42.969 (44.199) Prec@5 69.141 (69.735)
Epoch: [33][2600/5005] Time 0.197 (0.223) Data 0.047 (0.073) Loss 2.5310 (2.4804) Prec@1 42.188 (44.199) Prec@5 69.922 (69.736)
Epoch: [33][2610/5005] Time 0.199 (0.223) Data 0.047 (0.073) Loss 2.5910 (2.4801) Prec@1 42.969 (44.207) Prec@5 66.406 (69.742)
Epoch: [33][2620/5005] Time 0.228 (0.223) Data 0.145 (0.073) Loss 2.3984 (2.4801) Prec@1 42.188 (44.207) Prec@5 70.703 (69.742)
Epoch: [33][2630/5005] Time 0.232 (0.223) Data 0.157 (0.073) Loss 2.7562 (2.4805) Prec@1 41.406 (44.203) Prec@5 64.453 (69.733)
Epoch: [33][2640/5005] Time 0.312 (0.223) Data 0.233 (0.073) Loss 2.6361 (2.4804) Prec@1 37.891 (44.207) Prec@5 64.453 (69.733)
Epoch: [33][2650/5005] Time 0.192 (0.223) Data 0.063 (0.073) Loss 2.5957 (2.4804) Prec@1 41.797 (44.209) Prec@5 66.016 (69.733)
Epoch: [33][2660/5005] Time 0.197 (0.223) Data 0.044 (0.073) Loss 2.3812 (2.4803) Prec@1 41.406 (44.211) Prec@5 74.609 (69.736)
Epoch: [33][2670/5005] Time 0.357 (0.223) Data 0.275 (0.073) Loss 2.0380 (2.4799) Prec@1 51.953 (44.220) Prec@5 75.781 (69.740)
Epoch: [33][2680/5005] Time 0.194 (0.223) Data 0.053 (0.074) Loss 2.3196 (2.4799) Prec@1 50.391 (44.218) Prec@5 73.828 (69.739)
Epoch: [33][2690/5005] Time 0.202 (0.223) Data 0.046 (0.074) Loss 2.3438 (2.4796) Prec@1 48.047 (44.221) Prec@5 71.875 (69.744)
Epoch: [33][2700/5005] Time 0.206 (0.223) Data 0.040 (0.073) Loss 2.3955 (2.4796) Prec@1 43.750 (44.218) Prec@5 71.094 (69.745)
Epoch: [33][2710/5005] Time 0.199 (0.223) Data 0.053 (0.073) Loss 2.3132 (2.4799) Prec@1 50.391 (44.212) Prec@5 71.875 (69.742)
Epoch: [33][2720/5005] Time 0.188 (0.223) Data 0.066 (0.073) Loss 2.3635 (2.4799) Prec@1 47.656 (44.212) Prec@5 71.875 (69.743)
Epoch: [33][2730/5005] Time 0.204 (0.223) Data 0.048 (0.073) Loss 2.4617 (2.4797) Prec@1 46.484 (44.218) Prec@5 67.188 (69.745)
Epoch: [33][2740/5005] Time 0.195 (0.223) Data 0.046 (0.074) Loss 2.4364 (2.4796) Prec@1 42.969 (44.217) Prec@5 69.922 (69.745)
Epoch: [33][2750/5005] Time 0.210 (0.223) Data 0.042 (0.074) Loss 2.5065 (2.4795) Prec@1 42.188 (44.220) Prec@5 69.922 (69.748)
Epoch: [33][2760/5005] Time 0.201 (0.223) Data 0.051 (0.074) Loss 2.3718 (2.4794) Prec@1 47.266 (44.225) Prec@5 74.219 (69.751)
Epoch: [33][2770/5005] Time 0.204 (0.223) Data 0.046 (0.074) Loss 2.4089 (2.4795) Prec@1 42.188 (44.220) Prec@5 73.047 (69.750)
Epoch: [33][2780/5005] Time 0.198 (0.223) Data 0.047 (0.074) Loss 2.7108 (2.4795) Prec@1 37.109 (44.217) Prec@5 66.797 (69.751)
Epoch: [33][2790/5005] Time 0.200 (0.223) Data 0.108 (0.074) Loss 2.6583 (2.4795) Prec@1 39.844 (44.222) Prec@5 67.969 (69.752)
Epoch: [33][2800/5005] Time 0.193 (0.223) Data 0.100 (0.074) Loss 2.3631 (2.4795) Prec@1 46.875 (44.219) Prec@5 73.047 (69.756)
Epoch: [33][2810/5005] Time 0.199 (0.223) Data 0.042 (0.074) Loss 2.6497 (2.4794) Prec@1 41.797 (44.224) Prec@5 67.969 (69.759)
Epoch: [33][2820/5005] Time 0.198 (0.223) Data 0.049 (0.074) Loss 2.1384 (2.4793) Prec@1 45.312 (44.225) Prec@5 76.562 (69.764)
Epoch: [33][2830/5005] Time 0.736 (0.223) Data 0.653 (0.074) Loss 2.6648 (2.4792) Prec@1 40.625 (44.221) Prec@5 66.797 (69.764)
Epoch: [33][2840/5005] Time 0.210 (0.223) Data 0.046 (0.074) Loss 2.6180 (2.4793) Prec@1 38.672 (44.219) Prec@5 67.969 (69.764)
Epoch: [33][2850/5005] Time 0.192 (0.223) Data 0.050 (0.074) Loss 2.3890 (2.4793) Prec@1 47.656 (44.224) Prec@5 69.531 (69.763)
Epoch: [33][2860/5005] Time 0.200 (0.223) Data 0.051 (0.074) Loss 2.3729 (2.4794) Prec@1 47.656 (44.225) Prec@5 69.922 (69.761)
Epoch: [33][2870/5005] Time 0.199 (0.223) Data 0.052 (0.074) Loss 2.4264 (2.4791) Prec@1 43.750 (44.231) Prec@5 71.094 (69.768)
Epoch: [33][2880/5005] Time 0.199 (0.223) Data 0.053 (0.075) Loss 2.4929 (2.4791) Prec@1 39.844 (44.229) Prec@5 72.656 (69.768)
Epoch: [33][2890/5005] Time 0.205 (0.223) Data 0.064 (0.075) Loss 2.4846 (2.4789) Prec@1 37.500 (44.235) Prec@5 69.141 (69.772)
Epoch: [33][2900/5005] Time 0.281 (0.223) Data 0.186 (0.075) Loss 2.1176 (2.4786) Prec@1 50.000 (44.243) Prec@5 75.781 (69.780)
Epoch: [33][2910/5005] Time 0.198 (0.223) Data 0.042 (0.075) Loss 2.3764 (2.4786) Prec@1 46.094 (44.244) Prec@5 72.266 (69.781)
Epoch: [33][2920/5005] Time 0.207 (0.223) Data 0.045 (0.075) Loss 2.5523 (2.4786) Prec@1 43.750 (44.245) Prec@5 67.578 (69.786)
Epoch: [33][2930/5005] Time 0.202 (0.223) Data 0.041 (0.075) Loss 2.6013 (2.4785) Prec@1 41.016 (44.246) Prec@5 67.578 (69.786)
Epoch: [33][2940/5005] Time 0.190 (0.223) Data 0.054 (0.075) Loss 2.4768 (2.4781) Prec@1 41.406 (44.253) Prec@5 72.266 (69.795)
Epoch: [33][2950/5005] Time 0.206 (0.223) Data 0.092 (0.075) Loss 2.7326 (2.4779) Prec@1 37.109 (44.254) Prec@5 67.578 (69.798)
Epoch: [33][2960/5005] Time 0.208 (0.223) Data 0.044 (0.075) Loss 2.3513 (2.4776) Prec@1 45.703 (44.260) Prec@5 73.828 (69.802)
Epoch: [33][2970/5005] Time 0.189 (0.223) Data 0.051 (0.075) Loss 2.4637 (2.4775) Prec@1 41.406 (44.263) Prec@5 71.094 (69.806)
Epoch: [33][2980/5005] Time 0.204 (0.223) Data 0.043 (0.075) Loss 2.4808 (2.4776) Prec@1 42.969 (44.260) Prec@5 69.922 (69.804)
Epoch: [33][2990/5005] Time 0.250 (0.223) Data 0.168 (0.075) Loss 2.4813 (2.4776) Prec@1 45.703 (44.260) Prec@5 70.703 (69.803)
Epoch: [33][3000/5005] Time 0.209 (0.223) Data 0.050 (0.075) Loss 2.4748 (2.4774) Prec@1 42.578 (44.265) Prec@5 68.359 (69.807)
Epoch: [33][3010/5005] Time 0.202 (0.223) Data 0.040 (0.075) Loss 2.4569 (2.4773) Prec@1 42.188 (44.263) Prec@5 70.312 (69.807)
Epoch: [33][3020/5005] Time 0.204 (0.223) Data 0.040 (0.075) Loss 2.2856 (2.4774) Prec@1 48.828 (44.263) Prec@5 73.047 (69.805)
Epoch: [33][3030/5005] Time 0.295 (0.223) Data 0.207 (0.075) Loss 2.3981 (2.4774) Prec@1 46.094 (44.261) Prec@5 70.312 (69.803)
Epoch: [33][3040/5005] Time 0.519 (0.223) Data 0.435 (0.075) Loss 2.3421 (2.4772) Prec@1 48.438 (44.268) Prec@5 70.703 (69.806)
Epoch: [33][3050/5005] Time 0.209 (0.223) Data 0.047 (0.075) Loss 2.5035 (2.4771) Prec@1 37.109 (44.265) Prec@5 69.531 (69.809)
Epoch: [33][3060/5005] Time 0.323 (0.223) Data 0.242 (0.075) Loss 2.4093 (2.4769) Prec@1 45.312 (44.267) Prec@5 71.094 (69.810)
Epoch: [33][3070/5005] Time 0.209 (0.223) Data 0.043 (0.075) Loss 2.4370 (2.4770) Prec@1 43.359 (44.267) Prec@5 71.875 (69.807)
Epoch: [33][3080/5005] Time 0.208 (0.223) Data 0.048 (0.075) Loss 2.3878 (2.4770) Prec@1 41.797 (44.261) Prec@5 72.266 (69.805)
Epoch: [33][3090/5005] Time 0.200 (0.223) Data 0.054 (0.075) Loss 2.7387 (2.4769) Prec@1 39.062 (44.262) Prec@5 65.234 (69.809)
Epoch: [33][3100/5005] Time 0.193 (0.223) Data 0.044 (0.075) Loss 2.5155 (2.4768) Prec@1 43.750 (44.264) Prec@5 68.359 (69.809)
Epoch: [33][3110/5005] Time 0.195 (0.223) Data 0.093 (0.075) Loss 2.3121 (2.4766) Prec@1 45.703 (44.271) Prec@5 72.266 (69.817)
Epoch: [33][3120/5005] Time 0.210 (0.223) Data 0.054 (0.075) Loss 2.5590 (2.4765) Prec@1 41.797 (44.274) Prec@5 66.016 (69.814)
Epoch: [33][3130/5005] Time 0.196 (0.223) Data 0.089 (0.075) Loss 2.6302 (2.4763) Prec@1 40.625 (44.277) Prec@5 66.797 (69.819)
Epoch: [33][3140/5005] Time 0.200 (0.223) Data 0.077 (0.075) Loss 2.2352 (2.4760) Prec@1 46.875 (44.285) Prec@5 72.266 (69.824)
Epoch: [33][3150/5005] Time 0.200 (0.223) Data 0.049 (0.075) Loss 2.3617 (2.4758) Prec@1 46.484 (44.290) Prec@5 70.312 (69.825)
Epoch: [33][3160/5005] Time 0.202 (0.223) Data 0.048 (0.075) Loss 2.2547 (2.4758) Prec@1 46.484 (44.291) Prec@5 72.266 (69.825)
Epoch: [33][3170/5005] Time 0.204 (0.223) Data 0.043 (0.075) Loss 2.4340 (2.4758) Prec@1 44.141 (44.292) Prec@5 67.969 (69.822)
Epoch: [33][3180/5005] Time 0.353 (0.223) Data 0.274 (0.075) Loss 2.3092 (2.4758) Prec@1 53.516 (44.294) Prec@5 71.484 (69.823)
Epoch: [33][3190/5005] Time 0.214 (0.223) Data 0.133 (0.075) Loss 2.5146 (2.4758) Prec@1 43.359 (44.293) Prec@5 69.531 (69.825)
Epoch: [33][3200/5005] Time 0.204 (0.223) Data 0.047 (0.075) Loss 2.5677 (2.4757) Prec@1 43.359 (44.296) Prec@5 69.141 (69.826)
Epoch: [33][3210/5005] Time 0.207 (0.223) Data 0.040 (0.075) Loss 2.5629 (2.4755) Prec@1 43.750 (44.301) Prec@5 67.969 (69.831)
Epoch: [33][3220/5005] Time 0.203 (0.223) Data 0.050 (0.075) Loss 2.5547 (2.4757) Prec@1 44.141 (44.301) Prec@5 68.750 (69.831)
Epoch: [33][3230/5005] Time 0.199 (0.223) Data 0.044 (0.075) Loss 2.3592 (2.4753) Prec@1 44.922 (44.311) Prec@5 70.312 (69.836)
Epoch: [33][3240/5005] Time 0.206 (0.223) Data 0.046 (0.075) Loss 2.6929 (2.4757) Prec@1 36.719 (44.302) Prec@5 67.188 (69.829)
Epoch: [33][3250/5005] Time 0.214 (0.223) Data 0.048 (0.075) Loss 2.4829 (2.4757) Prec@1 39.453 (44.300) Prec@5 71.484 (69.831)
Epoch: [33][3260/5005] Time 0.211 (0.223) Data 0.044 (0.075) Loss 2.3824 (2.4758) Prec@1 46.094 (44.298) Prec@5 72.266 (69.831)
Epoch: [33][3270/5005] Time 0.194 (0.223) Data 0.043 (0.075) Loss 2.5518 (2.4757) Prec@1 41.797 (44.302) Prec@5 66.797 (69.831)
Epoch: [33][3280/5005] Time 0.198 (0.223) Data 0.046 (0.076) Loss 2.3604 (2.4758) Prec@1 45.312 (44.300) Prec@5 74.219 (69.831)
Epoch: [33][3290/5005] Time 0.199 (0.223) Data 0.046 (0.076) Loss 2.4356 (2.4757) Prec@1 42.578 (44.303) Prec@5 68.750 (69.832)
Epoch: [33][3300/5005] Time 0.215 (0.223) Data 0.133 (0.076) Loss 2.4846 (2.4757) Prec@1 42.188 (44.303) Prec@5 69.141 (69.831)
Epoch: [33][3310/5005] Time 0.202 (0.223) Data 0.039 (0.076) Loss 2.4475 (2.4756) Prec@1 45.312 (44.306) Prec@5 71.875 (69.831)
Epoch: [33][3320/5005] Time 0.657 (0.224) Data 0.576 (0.076) Loss 2.4262 (2.4755) Prec@1 48.047 (44.309) Prec@5 68.359 (69.831)
Epoch: [33][3330/5005] Time 0.199 (0.223) Data 0.055 (0.076) Loss 2.4986 (2.4755) Prec@1 44.531 (44.307) Prec@5 67.578 (69.831)
Epoch: [33][3340/5005] Time 0.198 (0.223) Data 0.043 (0.076) Loss 2.5910 (2.4755) Prec@1 43.359 (44.305) Prec@5 70.312 (69.833)
Epoch: [33][3350/5005] Time 0.203 (0.224) Data 0.042 (0.076) Loss 2.5118 (2.4754) Prec@1 44.141 (44.306) Prec@5 69.141 (69.835)
Epoch: [33][3360/5005] Time 0.365 (0.223) Data 0.280 (0.076) Loss 2.3352 (2.4753) Prec@1 48.438 (44.312) Prec@5 73.047 (69.835)
Epoch: [33][3370/5005] Time 0.198 (0.224) Data 0.043 (0.076) Loss 2.5023 (2.4753) Prec@1 41.016 (44.312) Prec@5 70.703 (69.835)
Epoch: [33][3380/5005] Time 0.198 (0.224) Data 0.050 (0.076) Loss 2.4531 (2.4751) Prec@1 43.750 (44.316) Prec@5 71.094 (69.838)
Epoch: [33][3390/5005] Time 0.205 (0.224) Data 0.039 (0.076) Loss 2.4596 (2.4753) Prec@1 46.875 (44.312) Prec@5 70.703 (69.833)
Epoch: [33][3400/5005] Time 0.204 (0.223) Data 0.057 (0.076) Loss 2.4963 (2.4755) Prec@1 42.578 (44.310) Prec@5 72.266 (69.832)
Epoch: [33][3410/5005] Time 0.208 (0.223) Data 0.089 (0.076) Loss 2.3234 (2.4753) Prec@1 46.484 (44.314) Prec@5 74.609 (69.838)
Epoch: [33][3420/5005] Time 0.208 (0.223) Data 0.055 (0.076) Loss 2.3872 (2.4752) Prec@1 44.141 (44.316) Prec@5 73.047 (69.841)
Epoch: [33][3430/5005] Time 0.200 (0.224) Data 0.039 (0.076) Loss 2.3898 (2.4751) Prec@1 45.312 (44.319) Prec@5 69.141 (69.845)
Epoch: [33][3440/5005] Time 0.206 (0.224) Data 0.047 (0.076) Loss 2.4630 (2.4749) Prec@1 43.750 (44.320) Prec@5 73.438 (69.847)
Epoch: [33][3450/5005] Time 0.207 (0.223) Data 0.042 (0.076) Loss 2.3529 (2.4748) Prec@1 46.484 (44.320) Prec@5 71.875 (69.852)
Epoch: [33][3460/5005] Time 0.270 (0.223) Data 0.187 (0.076) Loss 2.4897 (2.4749) Prec@1 42.578 (44.318) Prec@5 68.359 (69.851)
Epoch: [33][3470/5005] Time 0.198 (0.223) Data 0.091 (0.076) Loss 2.3558 (2.4747) Prec@1 45.703 (44.322) Prec@5 73.047 (69.853)
Epoch: [33][3480/5005] Time 0.191 (0.223) Data 0.053 (0.076) Loss 2.4066 (2.4744) Prec@1 46.094 (44.326) Prec@5 69.922 (69.859)
Epoch: [33][3490/5005] Time 0.214 (0.223) Data 0.045 (0.076) Loss 2.5010 (2.4744) Prec@1 41.797 (44.327) Prec@5 66.797 (69.858)
Epoch: [33][3500/5005] Time 0.209 (0.223) Data 0.046 (0.075) Loss 2.3017 (2.4745) Prec@1 44.141 (44.323) Prec@5 76.953 (69.859)
Epoch: [33][3510/5005] Time 0.191 (0.223) Data 0.058 (0.075) Loss 2.4539 (2.4744) Prec@1 41.016 (44.323) Prec@5 69.922 (69.862)
Epoch: [33][3520/5005] Time 0.208 (0.223) Data 0.042 (0.076) Loss 2.6657 (2.4745) Prec@1 42.969 (44.323) Prec@5 66.406 (69.859)
Epoch: [33][3530/5005] Time 0.198 (0.223) Data 0.056 (0.076) Loss 2.3636 (2.4744) Prec@1 48.438 (44.327) Prec@5 71.484 (69.862)
Epoch: [33][3540/5005] Time 0.193 (0.223) Data 0.094 (0.076) Loss 2.2416 (2.4740) Prec@1 47.266 (44.334) Prec@5 73.828 (69.868)
Epoch: [33][3550/5005] Time 0.219 (0.223) Data 0.047 (0.076) Loss 2.4505 (2.4738) Prec@1 45.312 (44.336) Prec@5 66.797 (69.870)
Epoch: [33][3560/5005] Time 0.213 (0.223) Data 0.044 (0.076) Loss 2.5313 (2.4737) Prec@1 46.094 (44.339) Prec@5 67.969 (69.870)
Epoch: [33][3570/5005] Time 0.294 (0.223) Data 0.208 (0.076) Loss 2.4334 (2.4738) Prec@1 45.312 (44.336) Prec@5 68.359 (69.869)
Epoch: [33][3580/5005] Time 0.201 (0.223) Data 0.056 (0.076) Loss 2.4962 (2.4738) Prec@1 45.312 (44.337) Prec@5 69.141 (69.869)
Epoch: [33][3590/5005] Time 0.202 (0.223) Data 0.057 (0.076) Loss 2.4278 (2.4735) Prec@1 45.312 (44.340) Prec@5 71.094 (69.874)
Epoch: [33][3600/5005] Time 0.341 (0.223) Data 0.259 (0.076) Loss 2.5270 (2.4732) Prec@1 44.531 (44.345) Prec@5 70.312 (69.878)
Epoch: [33][3610/5005] Time 0.203 (0.223) Data 0.050 (0.076) Loss 2.3277 (2.4733) Prec@1 49.219 (44.344) Prec@5 70.703 (69.877)
Epoch: [33][3620/5005] Time 0.198 (0.223) Data 0.062 (0.076) Loss 2.6427 (2.4730) Prec@1 35.938 (44.348) Prec@5 65.234 (69.881)
Epoch: [33][3630/5005] Time 0.203 (0.223) Data 0.041 (0.076) Loss 2.7027 (2.4729) Prec@1 40.234 (44.352) Prec@5 67.188 (69.882)
Epoch: [33][3640/5005] Time 0.204 (0.224) Data 0.043 (0.076) Loss 2.4654 (2.4729) Prec@1 43.750 (44.355) Prec@5 70.703 (69.880)
Epoch: [33][3650/5005] Time 0.206 (0.223) Data 0.049 (0.076) Loss 2.3606 (2.4729) Prec@1 42.578 (44.352) Prec@5 72.266 (69.880)
Epoch: [33][3660/5005] Time 0.203 (0.223) Data 0.046 (0.076) Loss 2.5849 (2.4726) Prec@1 41.016 (44.355) Prec@5 68.750 (69.885)
Epoch: [33][3670/5005] Time 0.205 (0.223) Data 0.038 (0.076) Loss 2.4524 (2.4727) Prec@1 48.047 (44.355) Prec@5 73.828 (69.885)
Epoch: [33][3680/5005] Time 0.375 (0.223) Data 0.288 (0.076) Loss 2.3672 (2.4728) Prec@1 45.312 (44.351) Prec@5 72.656 (69.885)
Epoch: [33][3690/5005] Time 0.208 (0.223) Data 0.045 (0.076) Loss 2.3750 (2.4727) Prec@1 44.922 (44.352) Prec@5 73.438 (69.887)
Epoch: [33][3700/5005] Time 0.197 (0.223) Data 0.045 (0.076) Loss 2.5275 (2.4726) Prec@1 45.312 (44.351) Prec@5 70.312 (69.890)
Epoch: [33][3710/5005] Time 0.202 (0.223) Data 0.045 (0.076) Loss 2.4168 (2.4726) Prec@1 44.531 (44.350) Prec@5 73.438 (69.891)
Epoch: [33][3720/5005] Time 0.583 (0.224) Data 0.500 (0.076) Loss 2.6537 (2.4725) Prec@1 47.266 (44.356) Prec@5 66.406 (69.892)
Epoch: [33][3730/5005] Time 0.203 (0.224) Data 0.045 (0.076) Loss 2.3144 (2.4723) Prec@1 47.656 (44.358) Prec@5 75.000 (69.895)
Epoch: [33][3740/5005] Time 0.209 (0.223) Data 0.042 (0.076) Loss 2.3603 (2.4720) Prec@1 46.484 (44.362) Prec@5 72.656 (69.901)
Epoch: [33][3750/5005] Time 0.208 (0.223) Data 0.046 (0.076) Loss 2.4023 (2.4721) Prec@1 43.750 (44.361) Prec@5 71.484 (69.900)
Epoch: [33][3760/5005] Time 0.627 (0.224) Data 0.534 (0.076) Loss 2.4121 (2.4721) Prec@1 43.750 (44.359) Prec@5 69.922 (69.901)
Epoch: [33][3770/5005] Time 0.198 (0.224) Data 0.043 (0.076) Loss 2.5946 (2.4720) Prec@1 45.312 (44.363) Prec@5 67.188 (69.903)
Epoch: [33][3780/5005] Time 0.496 (0.224) Data 0.412 (0.076) Loss 2.4886 (2.4719) Prec@1 43.359 (44.367) Prec@5 69.922 (69.905)
Epoch: [33][3790/5005] Time 0.210 (0.223) Data 0.044 (0.076) Loss 2.5520 (2.4720) Prec@1 44.922 (44.366) Prec@5 67.578 (69.904)
Epoch: [33][3800/5005] Time 0.196 (0.223) Data 0.103 (0.076) Loss 2.4445 (2.4723) Prec@1 46.094 (44.362) Prec@5 72.266 (69.899)
Epoch: [33][3810/5005] Time 0.433 (0.223) Data 0.350 (0.076) Loss 2.3917 (2.4723) Prec@1 48.438 (44.358) Prec@5 71.484 (69.900)
Epoch: [33][3820/5005] Time 0.194 (0.223) Data 0.048 (0.076) Loss 2.3970 (2.4721) Prec@1 45.703 (44.362) Prec@5 69.922 (69.906)
Epoch: [33][3830/5005] Time 0.198 (0.223) Data 0.047 (0.076) Loss 2.5427 (2.4718) Prec@1 39.453 (44.363) Prec@5 69.531 (69.913)
Epoch: [33][3840/5005] Time 0.187 (0.223) Data 0.055 (0.076) Loss 2.7013 (2.4719) Prec@1 39.453 (44.361) Prec@5 65.625 (69.911)
Epoch: [33][3850/5005] Time 0.202 (0.223) Data 0.049 (0.076) Loss 2.5270 (2.4720) Prec@1 45.312 (44.363) Prec@5 69.531 (69.911)
Epoch: [33][3860/5005] Time 0.202 (0.224) Data 0.044 (0.076) Loss 2.2632 (2.4720) Prec@1 48.047 (44.363) Prec@5 73.438 (69.908)
Epoch: [33][3870/5005] Time 0.193 (0.224) Data 0.054 (0.076) Loss 2.3714 (2.4720) Prec@1 47.656 (44.361) Prec@5 72.266 (69.908)
Epoch: [33][3880/5005] Time 0.195 (0.224) Data 0.045 (0.077) Loss 2.2222 (2.4720) Prec@1 49.609 (44.361) Prec@5 74.219 (69.909)
Epoch: [33][3890/5005] Time 0.203 (0.224) Data 0.047 (0.077) Loss 2.5520 (2.4721) Prec@1 46.094 (44.362) Prec@5 70.312 (69.909)
Epoch: [33][3900/5005] Time 0.199 (0.224) Data 0.043 (0.077) Loss 2.7477 (2.4721) Prec@1 40.625 (44.360) Prec@5 64.062 (69.909)
Epoch: [33][3910/5005] Time 0.198 (0.224) Data 0.044 (0.077) Loss 2.4474 (2.4721) Prec@1 46.875 (44.364) Prec@5 71.094 (69.910)
Epoch: [33][3920/5005] Time 0.200 (0.224) Data 0.043 (0.077) Loss 2.4939 (2.4722) Prec@1 44.141 (44.364) Prec@5 66.406 (69.906)
Epoch: [33][3930/5005] Time 0.191 (0.224) Data 0.052 (0.077) Loss 2.3491 (2.4719) Prec@1 45.703 (44.370) Prec@5 71.875 (69.910)
Epoch: [33][3940/5005] Time 0.216 (0.224) Data 0.045 (0.077) Loss 2.3921 (2.4718) Prec@1 43.359 (44.370) Prec@5 69.922 (69.910)
Epoch: [33][3950/5005] Time 0.224 (0.224) Data 0.043 (0.077) Loss 2.3280 (2.4715) Prec@1 51.172 (44.376) Prec@5 72.656 (69.915)
Epoch: [33][3960/5005] Time 0.202 (0.224) Data 0.049 (0.077) Loss 2.3861 (2.4714) Prec@1 43.359 (44.378) Prec@5 73.047 (69.917)
Epoch: [33][3970/5005] Time 0.696 (0.224) Data 0.615 (0.077) Loss 2.4692 (2.4713) Prec@1 46.484 (44.379) Prec@5 66.406 (69.918)
Epoch: [33][3980/5005] Time 0.198 (0.224) Data 0.044 (0.077) Loss 2.3485 (2.4713) Prec@1 46.875 (44.379) Prec@5 73.047 (69.918)
Epoch: [33][3990/5005] Time 0.199 (0.224) Data 0.041 (0.077) Loss 2.4782 (2.4713) Prec@1 41.797 (44.373) Prec@5 67.578 (69.919)
Epoch: [33][4000/5005] Time 0.209 (0.224) Data 0.043 (0.076) Loss 2.3127 (2.4712) Prec@1 44.531 (44.372) Prec@5 73.438 (69.921)
Epoch: [33][4010/5005] Time 0.208 (0.224) Data 0.052 (0.077) Loss 2.4938 (2.4711) Prec@1 41.797 (44.377) Prec@5 70.703 (69.923)
Epoch: [33][4020/5005] Time 0.194 (0.224) Data 0.046 (0.077) Loss 2.6871 (2.4711) Prec@1 39.062 (44.377) Prec@5 65.234 (69.924)
Epoch: [33][4030/5005] Time 0.199 (0.224) Data 0.097 (0.077) Loss 2.6070 (2.4713) Prec@1 46.484 (44.377) Prec@5 66.406 (69.920)
Epoch: [33][4040/5005] Time 0.199 (0.224) Data 0.046 (0.077) Loss 2.4194 (2.4715) Prec@1 47.656 (44.374) Prec@5 69.141 (69.914)
Epoch: [33][4050/5005] Time 0.197 (0.224) Data 0.045 (0.077) Loss 2.5271 (2.4714) Prec@1 44.141 (44.377) Prec@5 68.750 (69.916)
Epoch: [33][4060/5005] Time 0.206 (0.224) Data 0.049 (0.077) Loss 2.4702 (2.4715) Prec@1 42.969 (44.373) Prec@5 69.141 (69.918)
Epoch: [33][4070/5005] Time 0.198 (0.224) Data 0.059 (0.077) Loss 2.5576 (2.4714) Prec@1 45.312 (44.375) Prec@5 72.266 (69.921)
Epoch: [33][4080/5005] Time 0.207 (0.224) Data 0.052 (0.077) Loss 2.3256 (2.4714) Prec@1 44.531 (44.374) Prec@5 74.609 (69.924)
Epoch: [33][4090/5005] Time 0.199 (0.224) Data 0.044 (0.077) Loss 2.6452 (2.4713) Prec@1 42.578 (44.375) Prec@5 67.969 (69.924)
Epoch: [33][4100/5005] Time 0.204 (0.224) Data 0.097 (0.077) Loss 2.3074 (2.4712) Prec@1 44.531 (44.375) Prec@5 73.047 (69.925)
Epoch: [33][4110/5005] Time 0.201 (0.224) Data 0.064 (0.077) Loss 2.6742 (2.4712) Prec@1 39.062 (44.374) Prec@5 66.016 (69.925)
Epoch: [33][4120/5005] Time 0.203 (0.224) Data 0.046 (0.077) Loss 2.5072 (2.4710) Prec@1 45.703 (44.378) Prec@5 71.094 (69.928)
Epoch: [33][4130/5005] Time 0.200 (0.224) Data 0.049 (0.077) Loss 2.6347 (2.4709) Prec@1 38.672 (44.379) Prec@5 65.625 (69.930)
Epoch: [33][4140/5005] Time 0.211 (0.224) Data 0.130 (0.077) Loss 2.4980 (2.4708) Prec@1 44.141 (44.382) Prec@5 69.531 (69.932)
Epoch: [33][4150/5005] Time 0.391 (0.224) Data 0.312 (0.077) Loss 2.7835 (2.4708) Prec@1 41.406 (44.381) Prec@5 66.406 (69.934)
Epoch: [33][4160/5005] Time 0.199 (0.224) Data 0.060 (0.077) Loss 2.4113 (2.4709) Prec@1 45.312 (44.380) Prec@5 71.875 (69.933)
Epoch: [33][4170/5005] Time 0.198 (0.224) Data 0.048 (0.077) Loss 2.3049 (2.4706) Prec@1 43.359 (44.384) Prec@5 75.781 (69.938)
Epoch: [33][4180/5005] Time 0.202 (0.224) Data 0.049 (0.077) Loss 2.3921 (2.4706) Prec@1 49.219 (44.386) Prec@5 71.875 (69.939)
Epoch: [33][4190/5005] Time 0.278 (0.224) Data 0.196 (0.077) Loss 2.1792 (2.4706) Prec@1 48.047 (44.389) Prec@5 72.656 (69.937)
Epoch: [33][4200/5005] Time 0.209 (0.224) Data 0.053 (0.077) Loss 2.2758 (2.4705) Prec@1 51.562 (44.392) Prec@5 71.875 (69.937)
Epoch: [33][4210/5005] Time 0.192 (0.224) Data 0.047 (0.077) Loss 2.2560 (2.4704) Prec@1 47.656 (44.395) Prec@5 73.828 (69.937)
Epoch: [33][4220/5005] Time 0.202 (0.224) Data 0.043 (0.077) Loss 2.5578 (2.4705) Prec@1 42.188 (44.392) Prec@5 69.141 (69.935)
Epoch: [33][4230/5005] Time 0.191 (0.224) Data 0.043 (0.077) Loss 2.4889 (2.4706) Prec@1 42.188 (44.392) Prec@5 68.359 (69.934)
Epoch: [33][4240/5005] Time 0.198 (0.224) Data 0.095 (0.077) Loss 2.4063 (2.4707) Prec@1 45.703 (44.388) Prec@5 71.094 (69.933)
Epoch: [33][4250/5005] Time 0.193 (0.224) Data 0.042 (0.077) Loss 2.4161 (2.4705) Prec@1 45.703 (44.389) Prec@5 70.703 (69.936)
Epoch: [33][4260/5005] Time 0.201 (0.224) Data 0.047 (0.077) Loss 2.3746 (2.4705) Prec@1 41.016 (44.388) Prec@5 69.922 (69.935)
Epoch: [33][4270/5005] Time 0.203 (0.224) Data 0.053 (0.077) Loss 2.7062 (2.4705) Prec@1 39.453 (44.388) Prec@5 69.922 (69.935)
Epoch: [33][4280/5005] Time 0.199 (0.224) Data 0.049 (0.077) Loss 2.5545 (2.4705) Prec@1 43.750 (44.390) Prec@5 70.703 (69.936)
Epoch: [33][4290/5005] Time 0.445 (0.224) Data 0.364 (0.077) Loss 2.7512 (2.4705) Prec@1 39.453 (44.389) Prec@5 65.625 (69.935)
Epoch: [33][4300/5005] Time 0.193 (0.224) Data 0.049 (0.077) Loss 2.1740 (2.4703) Prec@1 48.438 (44.394) Prec@5 75.391 (69.939)
Epoch: [33][4310/5005] Time 0.211 (0.224) Data 0.052 (0.077) Loss 2.3775 (2.4701) Prec@1 48.438 (44.399) Prec@5 71.484 (69.941)
Epoch: [33][4320/5005] Time 0.199 (0.224) Data 0.044 (0.077) Loss 2.3738 (2.4701) Prec@1 49.219 (44.401) Prec@5 71.094 (69.941)
Epoch: [33][4330/5005] Time 0.425 (0.224) Data 0.340 (0.077) Loss 2.3627 (2.4700) Prec@1 44.141 (44.402) Prec@5 70.703 (69.942)
Epoch: [33][4340/5005] Time 0.199 (0.224) Data 0.063 (0.077) Loss 2.4508 (2.4701) Prec@1 42.188 (44.397) Prec@5 68.359 (69.942)
Epoch: [33][4350/5005] Time 0.203 (0.224) Data 0.038 (0.077) Loss 2.4403 (2.4700) Prec@1 48.047 (44.401) Prec@5 71.875 (69.946)
Epoch: [33][4360/5005] Time 0.207 (0.224) Data 0.041 (0.077) Loss 2.3259 (2.4698) Prec@1 48.047 (44.402) Prec@5 73.047 (69.947)
Epoch: [33][4370/5005] Time 0.201 (0.224) Data 0.044 (0.077) Loss 2.3922 (2.4698) Prec@1 46.875 (44.403) Prec@5 71.484 (69.946)
Epoch: [33][4380/5005] Time 0.191 (0.224) Data 0.045 (0.077) Loss 2.4514 (2.4698) Prec@1 44.531 (44.403) Prec@5 69.531 (69.947)
Epoch: [33][4390/5005] Time 0.203 (0.224) Data 0.046 (0.077) Loss 2.5557 (2.4696) Prec@1 41.016 (44.407) Prec@5 67.969 (69.948)
Epoch: [33][4400/5005] Time 0.199 (0.224) Data 0.041 (0.077) Loss 2.3782 (2.4695) Prec@1 44.141 (44.409) Prec@5 68.750 (69.948)
Epoch: [33][4410/5005] Time 0.203 (0.224) Data 0.042 (0.077) Loss 2.4235 (2.4694) Prec@1 41.797 (44.410) Prec@5 70.703 (69.949)
Epoch: [33][4420/5005] Time 0.333 (0.224) Data 0.248 (0.077) Loss 2.1554 (2.4692) Prec@1 48.828 (44.412) Prec@5 74.609 (69.950)
Epoch: [33][4430/5005] Time 0.207 (0.224) Data 0.044 (0.077) Loss 2.5671 (2.4690) Prec@1 42.188 (44.417) Prec@5 67.969 (69.953)
Epoch: [33][4440/5005] Time 0.201 (0.224) Data 0.040 (0.077) Loss 2.5209 (2.4690) Prec@1 42.188 (44.418) Prec@5 68.359 (69.953)
Epoch: [33][4450/5005] Time 0.196 (0.224) Data 0.040 (0.077) Loss 2.3128 (2.4689) Prec@1 47.266 (44.421) Prec@5 75.000 (69.954)
Epoch: [33][4460/5005] Time 0.290 (0.224) Data 0.205 (0.077) Loss 2.4852 (2.4688) Prec@1 42.578 (44.423) Prec@5 71.484 (69.957)
Epoch: [33][4470/5005] Time 0.194 (0.224) Data 0.048 (0.077) Loss 2.3774 (2.4689) Prec@1 44.141 (44.421) Prec@5 73.047 (69.958)
Epoch: [33][4480/5005] Time 0.211 (0.224) Data 0.043 (0.077) Loss 2.1670 (2.4690) Prec@1 48.438 (44.419) Prec@5 76.172 (69.957)
Epoch: [33][4490/5005] Time 0.199 (0.224) Data 0.044 (0.077) Loss 2.4488 (2.4691) Prec@1 45.312 (44.418) Prec@5 67.578 (69.954)
Epoch: [33][4500/5005] Time 0.215 (0.224) Data 0.050 (0.077) Loss 2.3957 (2.4691) Prec@1 48.828 (44.421) Prec@5 73.438 (69.956)
Epoch: [33][4510/5005] Time 0.204 (0.224) Data 0.045 (0.077) Loss 2.4178 (2.4691) Prec@1 46.875 (44.419) Prec@5 71.094 (69.955)
Epoch: [33][4520/5005] Time 0.192 (0.224) Data 0.093 (0.077) Loss 2.3430 (2.4689) Prec@1 47.266 (44.421) Prec@5 75.391 (69.960)
Epoch: [33][4530/5005] Time 0.202 (0.224) Data 0.043 (0.077) Loss 2.4337 (2.4688) Prec@1 46.875 (44.426) Prec@5 71.875 (69.959)
Epoch: [33][4540/5005] Time 0.197 (0.224) Data 0.047 (0.077) Loss 2.6620 (2.4690) Prec@1 41.797 (44.422) Prec@5 69.531 (69.957)
Epoch: [33][4550/5005] Time 0.197 (0.224) Data 0.038 (0.077) Loss 2.4425 (2.4689) Prec@1 46.875 (44.423) Prec@5 69.531 (69.957)
Epoch: [33][4560/5005] Time 0.202 (0.224) Data 0.063 (0.077) Loss 2.4565 (2.4688) Prec@1 45.703 (44.424) Prec@5 71.484 (69.959)
Epoch: [33][4570/5005] Time 0.202 (0.224) Data 0.044 (0.077) Loss 2.4928 (2.4687) Prec@1 46.094 (44.427) Prec@5 72.656 (69.963)
Epoch: [33][4580/5005] Time 0.215 (0.224) Data 0.039 (0.077) Loss 2.4627 (2.4686) Prec@1 42.578 (44.429) Prec@5 69.141 (69.965)
Epoch: [33][4590/5005] Time 0.200 (0.224) Data 0.094 (0.077) Loss 2.2918 (2.4687) Prec@1 45.312 (44.425) Prec@5 72.266 (69.964)
Epoch: [33][4600/5005] Time 0.334 (0.224) Data 0.236 (0.077) Loss 2.0764 (2.4687) Prec@1 50.391 (44.424) Prec@5 78.125 (69.963)
Epoch: [33][4610/5005] Time 0.194 (0.224) Data 0.056 (0.077) Loss 2.2114 (2.4686) Prec@1 48.047 (44.426) Prec@5 74.219 (69.965)
Epoch: [33][4620/5005] Time 0.196 (0.224) Data 0.051 (0.077) Loss 2.4383 (2.4686) Prec@1 44.141 (44.427) Prec@5 69.531 (69.964)
Epoch: [33][4630/5005] Time 0.208 (0.224) Data 0.052 (0.077) Loss 2.1221 (2.4684) Prec@1 50.781 (44.429) Prec@5 76.953 (69.968)
Epoch: [33][4640/5005] Time 0.192 (0.224) Data 0.048 (0.077) Loss 2.4253 (2.4684) Prec@1 44.141 (44.427) Prec@5 72.656 (69.969)
Epoch: [33][4650/5005] Time 0.201 (0.224) Data 0.048 (0.077) Loss 2.3936 (2.4683) Prec@1 47.266 (44.429) Prec@5 71.484 (69.970)
Epoch: [33][4660/5005] Time 0.204 (0.224) Data 0.051 (0.077) Loss 2.7715 (2.4682) Prec@1 37.891 (44.428) Prec@5 66.016 (69.972)
Epoch: [33][4670/5005] Time 0.201 (0.224) Data 0.045 (0.077) Loss 2.2639 (2.4681) Prec@1 44.922 (44.432) Prec@5 71.875 (69.972)
Epoch: [33][4680/5005] Time 0.202 (0.224) Data 0.053 (0.077) Loss 2.3188 (2.4681) Prec@1 45.703 (44.431) Prec@5 72.656 (69.973)
Epoch: [33][4690/5005] Time 0.193 (0.224) Data 0.045 (0.078) Loss 2.5574 (2.4681) Prec@1 41.406 (44.429) Prec@5 67.578 (69.973)
Epoch: [33][4700/5005] Time 0.192 (0.224) Data 0.054 (0.077) Loss 2.3606 (2.4681) Prec@1 43.359 (44.431) Prec@5 71.875 (69.974)
Epoch: [33][4710/5005] Time 0.201 (0.224) Data 0.048 (0.077) Loss 2.3207 (2.4679) Prec@1 47.266 (44.436) Prec@5 72.266 (69.977)
Epoch: [33][4720/5005] Time 0.209 (0.224) Data 0.040 (0.077) Loss 2.2815 (2.4679) Prec@1 45.312 (44.436) Prec@5 73.438 (69.978)
Epoch: [33][4730/5005] Time 0.205 (0.224) Data 0.041 (0.077) Loss 2.3901 (2.4679) Prec@1 44.922 (44.434) Prec@5 69.922 (69.976)
Epoch: [33][4740/5005] Time 0.193 (0.224) Data 0.047 (0.077) Loss 2.4259 (2.4679) Prec@1 43.750 (44.436) Prec@5 69.141 (69.977)
Epoch: [33][4750/5005] Time 0.208 (0.224) Data 0.044 (0.077) Loss 2.3806 (2.4678) Prec@1 48.828 (44.438) Prec@5 69.141 (69.979)
Epoch: [33][4760/5005] Time 0.361 (0.224) Data 0.274 (0.077) Loss 2.6628 (2.4676) Prec@1 36.719 (44.439) Prec@5 68.359 (69.981)
Epoch: [33][4770/5005] Time 0.196 (0.224) Data 0.060 (0.077) Loss 2.3640 (2.4676) Prec@1 43.750 (44.437) Prec@5 72.266 (69.981)
Epoch: [33][4780/5005] Time 0.200 (0.224) Data 0.047 (0.077) Loss 2.3935 (2.4676) Prec@1 43.359 (44.438) Prec@5 74.609 (69.981)
Epoch: [33][4790/5005] Time 0.202 (0.224) Data 0.049 (0.077) Loss 2.6681 (2.4676) Prec@1 43.359 (44.438) Prec@5 65.234 (69.981)
Epoch: [33][4800/5005] Time 0.204 (0.224) Data 0.047 (0.077) Loss 2.6070 (2.4675) Prec@1 41.797 (44.437) Prec@5 69.141 (69.983)
Epoch: [33][4810/5005] Time 0.204 (0.224) Data 0.040 (0.077) Loss 2.5715 (2.4675) Prec@1 44.141 (44.436) Prec@5 67.188 (69.984)
Epoch: [33][4820/5005] Time 0.210 (0.224) Data 0.047 (0.078) Loss 2.6629 (2.4674) Prec@1 39.844 (44.439) Prec@5 64.844 (69.983)
Epoch: [33][4830/5005] Time 0.201 (0.224) Data 0.041 (0.077) Loss 2.5305 (2.4672) Prec@1 42.969 (44.440) Prec@5 69.141 (69.985)
Epoch: [33][4840/5005] Time 0.349 (0.224) Data 0.264 (0.077) Loss 2.2135 (2.4673) Prec@1 49.609 (44.437) Prec@5 74.219 (69.983)
Epoch: [33][4850/5005] Time 0.203 (0.224) Data 0.044 (0.078) Loss 2.5088 (2.4674) Prec@1 41.797 (44.435) Prec@5 67.578 (69.980)
Epoch: [33][4860/5005] Time 0.195 (0.224) Data 0.047 (0.077) Loss 2.4689 (2.4674) Prec@1 42.578 (44.434) Prec@5 70.703 (69.981)
Epoch: [33][4870/5005] Time 0.331 (0.224) Data 0.251 (0.078) Loss 2.3963 (2.4674) Prec@1 48.438 (44.436) Prec@5 70.703 (69.979)
Epoch: [33][4880/5005] Time 0.343 (0.224) Data 0.259 (0.078) Loss 2.3979 (2.4673) Prec@1 42.578 (44.435) Prec@5 69.922 (69.978)
Epoch: [33][4890/5005] Time 0.200 (0.224) Data 0.048 (0.078) Loss 2.4328 (2.4673) Prec@1 44.531 (44.436) Prec@5 68.359 (69.980)
Epoch: [33][4900/5005] Time 0.198 (0.224) Data 0.046 (0.078) Loss 2.3591 (2.4672) Prec@1 46.484 (44.437) Prec@5 71.484 (69.982)
Epoch: [33][4910/5005] Time 0.201 (0.224) Data 0.040 (0.078) Loss 2.3699 (2.4669) Prec@1 49.609 (44.441) Prec@5 73.828 (69.986)
Epoch: [33][4920/5005] Time 0.581 (0.224) Data 0.494 (0.078) Loss 2.4022 (2.4669) Prec@1 46.484 (44.440) Prec@5 70.703 (69.986)
Epoch: [33][4930/5005] Time 0.205 (0.224) Data 0.060 (0.078) Loss 2.6502 (2.4668) Prec@1 42.188 (44.443) Prec@5 66.406 (69.987)
Epoch: [33][4940/5005] Time 0.199 (0.224) Data 0.045 (0.078) Loss 2.3471 (2.4668) Prec@1 45.312 (44.444) Prec@5 71.875 (69.988)
Epoch: [33][4950/5005] Time 0.202 (0.224) Data 0.044 (0.078) Loss 2.2054 (2.4668) Prec@1 44.922 (44.441) Prec@5 75.781 (69.989)
Epoch: [33][4960/5005] Time 0.209 (0.224) Data 0.045 (0.078) Loss 2.5472 (2.4667) Prec@1 45.703 (44.444) Prec@5 69.141 (69.990)
Epoch: [33][4970/5005] Time 0.202 (0.224) Data 0.051 (0.078) Loss 2.6496 (2.4666) Prec@1 42.969 (44.446) Prec@5 66.406 (69.991)
Epoch: [33][4980/5005] Time 0.206 (0.224) Data 0.048 (0.078) Loss 2.5180 (2.4665) Prec@1 44.141 (44.447) Prec@5 68.359 (69.995)
Epoch: [33][4990/5005] Time 0.204 (0.224) Data 0.030 (0.078) Loss 2.5410 (2.4665) Prec@1 40.234 (44.449) Prec@5 65.234 (69.994)
Epoch: [33][5000/5005] Time 0.198 (0.224) Data 0.022 (0.078) Loss 2.5172 (2.4665) Prec@1 41.406 (44.448) Prec@5 69.922 (69.995)
Test: [0/196] Time 2.391 (2.391) Loss 2.4499 (2.4499) Prec@1 47.656 (47.656) Prec@5 70.703 (70.703)
Test: [10/196] Time 0.043 (0.389) Loss 2.5664 (2.6346) Prec@1 45.703 (42.472) Prec@5 67.578 (67.685)
Test: [20/196] Time 0.044 (0.295) Loss 2.5138 (2.6426) Prec@1 45.703 (42.188) Prec@5 71.094 (67.411)
Test: [30/196] Time 0.043 (0.269) Loss 2.5332 (2.6401) Prec@1 43.359 (42.162) Prec@5 67.188 (67.339)
Test: [40/196] Time 0.589 (0.270) Loss 2.3647 (2.6338) Prec@1 50.000 (42.407) Prec@5 71.484 (67.435)
Test: [50/196] Time 0.043 (0.268) Loss 2.6487 (2.6328) Prec@1 46.875 (42.570) Prec@5 70.703 (67.502)
Test: [60/196] Time 0.042 (0.259) Loss 2.5849 (2.6196) Prec@1 42.188 (42.834) Prec@5 68.750 (67.591)
Test: [70/196] Time 0.270 (0.247) Loss 2.5827 (2.6102) Prec@1 42.578 (42.842) Prec@5 68.359 (67.908)
Test: [80/196] Time 0.494 (0.246) Loss 2.4479 (2.6173) Prec@1 49.609 (42.747) Prec@5 74.219 (67.819)
Test: [90/196] Time 0.274 (0.244) Loss 2.7140 (2.6186) Prec@1 43.750 (42.741) Prec@5 65.234 (67.887)
Test: [100/196] Time 0.131 (0.241) Loss 2.6675 (2.6154) Prec@1 44.922 (42.876) Prec@5 67.578 (67.934)
Test: [110/196] Time 0.067 (0.238) Loss 2.7448 (2.6174) Prec@1 40.625 (42.860) Prec@5 65.234 (67.937)
Test: [120/196] Time 0.153 (0.234) Loss 2.3941 (2.6143) Prec@1 46.094 (42.930) Prec@5 73.828 (68.007)
Test: [130/196] Time 0.043 (0.239) Loss 2.3204 (2.6116) Prec@1 47.266 (42.945) Prec@5 74.219 (68.010)
Test: [140/196] Time 0.042 (0.235) Loss 2.4186 (2.6125) Prec@1 49.219 (42.877) Prec@5 69.531 (67.991)
Test: [150/196] Time 0.044 (0.235) Loss 2.2880 (2.6104) Prec@1 46.875 (42.933) Prec@5 74.219 (68.114)
Test: [160/196] Time 0.043 (0.235) Loss 2.5804 (2.6073) Prec@1 47.656 (42.976) Prec@5 68.750 (68.168)
Test: [170/196] Time 0.098 (0.233) Loss 2.5498 (2.6102) Prec@1 42.188 (42.957) Prec@5 67.969 (68.108)
Test: [180/196] Time 0.135 (0.231) Loss 2.8522 (2.6151) Prec@1 41.016 (42.882) Prec@5 64.844 (68.005)
Test: [190/196] Time 0.043 (0.232) Loss 2.7815 (2.6178) Prec@1 42.188 (42.838) Prec@5 62.109 (67.932)
* Prec@1 42.830 Prec@5 67.938
Learning rate: 0.0001
Epoch: [34][0/5005] Time 1.847 (1.847) Data 1.744 (1.744) Loss 2.4695 (2.4695) Prec@1 46.875 (46.875) Prec@5 67.969 (67.969)
Epoch: [34][10/5005] Time 0.202 (0.360) Data 0.049 (0.221) Loss 2.4452 (2.4845) Prec@1 42.969 (44.425) Prec@5 70.703 (70.526)
Epoch: [34][20/5005] Time 0.193 (0.293) Data 0.067 (0.141) Loss 2.7009 (2.4792) Prec@1 40.625 (44.103) Prec@5 68.359 (70.592)
Epoch: [34][30/5005] Time 0.207 (0.263) Data 0.066 (0.113) Loss 2.3642 (2.4437) Prec@1 45.703 (44.871) Prec@5 71.094 (70.968)
Epoch: [34][40/5005] Time 0.196 (0.247) Data 0.047 (0.098) Loss 2.3586 (2.4568) Prec@1 45.312 (44.598) Prec@5 71.875 (70.722)
Epoch: [34][50/5005] Time 0.194 (0.237) Data 0.048 (0.089) Loss 2.4162 (2.4610) Prec@1 41.406 (44.286) Prec@5 71.875 (70.604)
Epoch: [34][60/5005] Time 0.196 (0.231) Data 0.042 (0.081) Loss 2.4225 (2.4626) Prec@1 43.750 (44.333) Prec@5 71.875 (70.357)
Epoch: [34][70/5005] Time 0.189 (0.227) Data 0.042 (0.076) Loss 2.5693 (2.4770) Prec@1 42.188 (44.014) Prec@5 68.750 (70.098)
Epoch: [34][80/5005] Time 0.212 (0.234) Data 0.045 (0.073) Loss 2.4277 (2.4761) Prec@1 47.656 (44.083) Prec@5 68.359 (70.062)
Epoch: [34][90/5005] Time 0.195 (0.230) Data 0.046 (0.070) Loss 2.5176 (2.4739) Prec@1 48.047 (44.312) Prec@5 69.141 (70.046)
Epoch: [34][100/5005] Time 0.205 (0.227) Data 0.050 (0.069) Loss 2.2448 (2.4726) Prec@1 49.219 (44.431) Prec@5 73.047 (70.053)
Epoch: [34][110/5005] Time 0.195 (0.225) Data 0.046 (0.067) Loss 2.7051 (2.4756) Prec@1 41.406 (44.482) Prec@5 70.312 (70.034)
Epoch: [34][120/5005] Time 0.193 (0.223) Data 0.064 (0.066) Loss 2.4972 (2.4774) Prec@1 40.625 (44.421) Prec@5 66.797 (69.951)
Epoch: [34][130/5005] Time 0.204 (0.221) Data 0.045 (0.065) Loss 2.6383 (2.4760) Prec@1 44.141 (44.406) Prec@5 66.406 (69.925)
Epoch: [34][140/5005] Time 0.200 (0.223) Data 0.044 (0.067) Loss 2.5159 (2.4746) Prec@1 42.188 (44.468) Prec@5 68.359 (69.961)
Epoch: [34][150/5005] Time 0.202 (0.224) Data 0.124 (0.070) Loss 2.5120 (2.4741) Prec@1 44.922 (44.536) Prec@5 67.578 (70.010)
Epoch: [34][160/5005] Time 0.197 (0.224) Data 0.102 (0.071) Loss 2.4655 (2.4771) Prec@1 40.625 (44.475) Prec@5 67.578 (69.929)
Epoch: [34][170/5005] Time 0.209 (0.225) Data 0.045 (0.073) Loss 2.5627 (2.4784) Prec@1 48.047 (44.472) Prec@5 67.969 (69.890)
Epoch: [34][180/5005] Time 0.330 (0.226) Data 0.243 (0.075) Loss 2.6914 (2.4783) Prec@1 43.359 (44.499) Prec@5 65.234 (69.894)
Epoch: [34][190/5005] Time 0.214 (0.227) Data 0.096 (0.076) Loss 2.5383 (2.4816) Prec@1 44.922 (44.462) Prec@5 69.141 (69.867)
Epoch: [34][200/5005] Time 0.216 (0.228) Data 0.046 (0.077) Loss 2.7057 (2.4818) Prec@1 41.406 (44.477) Prec@5 66.797 (69.809)
Epoch: [34][210/5005] Time 0.215 (0.229) Data 0.042 (0.078) Loss 2.3720 (2.4815) Prec@1 44.922 (44.450) Prec@5 73.047 (69.846)
Epoch: [34][220/5005] Time 0.217 (0.229) Data 0.047 (0.077) Loss 2.5540 (2.4816) Prec@1 45.312 (44.434) Prec@5 69.922 (69.832)
Epoch: [34][230/5005] Time 0.213 (0.229) Data 0.050 (0.078) Loss 2.3596 (2.4819) Prec@1 49.609 (44.467) Prec@5 72.266 (69.851)
Epoch: [34][240/5005] Time 0.215 (0.229) Data 0.050 (0.079) Loss 2.3929 (2.4817) Prec@1 43.750 (44.398) Prec@5 69.531 (69.849)
Epoch: [34][250/5005] Time 0.204 (0.229) Data 0.097 (0.079) Loss 2.5414 (2.4814) Prec@1 44.531 (44.421) Prec@5 69.141 (69.869)
Epoch: [34][260/5005] Time 0.381 (0.229) Data 0.294 (0.080) Loss 2.3191 (2.4814) Prec@1 44.141 (44.431) Prec@5 73.438 (69.864)
Epoch: [34][270/5005] Time 0.207 (0.230) Data 0.110 (0.082) Loss 2.4707 (2.4820) Prec@1 46.094 (44.397) Prec@5 72.656 (69.864)
Epoch: [34][280/5005] Time 0.283 (0.231) Data 0.195 (0.084) Loss 2.7260 (2.4842) Prec@1 43.359 (44.359) Prec@5 66.406 (69.838)
Epoch: [34][290/5005] Time 0.204 (0.231) Data 0.049 (0.084) Loss 2.3238 (2.4851) Prec@1 48.438 (44.319) Prec@5 72.656 (69.796)
Epoch: [34][300/5005] Time 0.247 (0.231) Data 0.155 (0.085) Loss 2.3960 (2.4853) Prec@1 41.406 (44.338) Prec@5 72.656 (69.808)
Epoch: [34][310/5005] Time 0.204 (0.232) Data 0.052 (0.086) Loss 2.3386 (2.4838) Prec@1 46.484 (44.358) Prec@5 72.266 (69.821)
Epoch: [34][320/5005] Time 0.204 (0.232) Data 0.048 (0.087) Loss 2.6967 (2.4852) Prec@1 41.016 (44.347) Prec@5 62.891 (69.805)
Epoch: [34][330/5005] Time 0.206 (0.232) Data 0.050 (0.087) Loss 2.1593 (2.4840) Prec@1 50.391 (44.325) Prec@5 73.047 (69.827)
Epoch: [34][340/5005] Time 0.204 (0.233) Data 0.046 (0.088) Loss 2.5641 (2.4875) Prec@1 44.922 (44.287) Prec@5 68.750 (69.772)
Epoch: [34][350/5005] Time 0.252 (0.233) Data 0.171 (0.087) Loss 2.5467 (2.4863) Prec@1 44.531 (44.309) Prec@5 68.750 (69.784)
Epoch: [34][360/5005] Time 0.215 (0.232) Data 0.047 (0.086) Loss 2.6769 (2.4864) Prec@1 40.234 (44.317) Prec@5 66.406 (69.733)
Epoch: [34][370/5005] Time 0.216 (0.232) Data 0.044 (0.085) Loss 2.5136 (2.4849) Prec@1 42.969 (44.353) Prec@5 67.969 (69.743)
Epoch: [34][380/5005] Time 0.211 (0.231) Data 0.042 (0.084) Loss 2.4644 (2.4843) Prec@1 43.359 (44.357) Prec@5 71.094 (69.742)
Epoch: [34][390/5005] Time 0.215 (0.231) Data 0.041 (0.083) Loss 2.4806 (2.4846) Prec@1 46.484 (44.345) Prec@5 71.094 (69.754)
Epoch: [34][400/5005] Time 0.219 (0.231) Data 0.042 (0.082) Loss 2.3213 (2.4836) Prec@1 45.703 (44.344) Prec@5 71.484 (69.769)
Epoch: [34][410/5005] Time 0.207 (0.230) Data 0.041 (0.081) Loss 2.3070 (2.4836) Prec@1 47.266 (44.350) Prec@5 74.609 (69.779)
Epoch: [34][420/5005] Time 0.214 (0.230) Data 0.057 (0.080) Loss 2.3808 (2.4827) Prec@1 44.141 (44.348) Prec@5 72.656 (69.801)
Epoch: [34][430/5005] Time 0.216 (0.229) Data 0.047 (0.079) Loss 2.3918 (2.4825) Prec@1 49.609 (44.357) Prec@5 71.875 (69.795)
Epoch: [34][440/5005] Time 0.216 (0.229) Data 0.046 (0.079) Loss 2.4982 (2.4824) Prec@1 50.391 (44.385) Prec@5 69.531 (69.801)
Epoch: [34][450/5005] Time 0.216 (0.229) Data 0.066 (0.078) Loss 2.2794 (2.4837) Prec@1 44.922 (44.347) Prec@5 75.781 (69.786)
Epoch: [34][460/5005] Time 0.215 (0.228) Data 0.048 (0.077) Loss 2.4849 (2.4848) Prec@1 41.016 (44.297) Prec@5 69.531 (69.777)
Epoch: [34][470/5005] Time 0.215 (0.228) Data 0.065 (0.077) Loss 2.3756 (2.4856) Prec@1 45.703 (44.282) Prec@5 71.875 (69.751)
Epoch: [34][480/5005] Time 0.212 (0.228) Data 0.049 (0.076) Loss 2.4468 (2.4855) Prec@1 44.531 (44.288) Prec@5 70.703 (69.746)
Epoch: [34][490/5005] Time 0.215 (0.227) Data 0.054 (0.076) Loss 2.4647 (2.4861) Prec@1 48.047 (44.262) Prec@5 69.922 (69.737)
Epoch: [34][500/5005] Time 0.211 (0.227) Data 0.052 (0.075) Loss 2.5890 (2.4881) Prec@1 40.234 (44.240) Prec@5 66.797 (69.707)
Epoch: [34][510/5005] Time 0.213 (0.227) Data 0.038 (0.075) Loss 2.6225 (2.4885) Prec@1 41.797 (44.243) Prec@5 65.234 (69.700)
Epoch: [34][520/5005] Time 0.221 (0.227) Data 0.045 (0.074) Loss 2.5064 (2.4880) Prec@1 44.531 (44.252) Prec@5 67.578 (69.698)
Epoch: [34][530/5005] Time 0.212 (0.227) Data 0.050 (0.074) Loss 2.3963 (2.4882) Prec@1 42.969 (44.222) Prec@5 69.141 (69.699)
Epoch: [34][540/5005] Time 0.213 (0.226) Data 0.043 (0.073) Loss 2.6040 (2.4891) Prec@1 42.578 (44.196) Prec@5 69.141 (69.689)
Epoch: [34][550/5005] Time 0.200 (0.226) Data 0.053 (0.073) Loss 2.4455 (2.4884) Prec@1 44.141 (44.199) Prec@5 72.656 (69.699)
Epoch: [34][560/5005] Time 0.203 (0.226) Data 0.046 (0.072) Loss 2.5054 (2.4893) Prec@1 46.484 (44.189) Prec@5 72.266 (69.702)
Epoch: [34][570/5005] Time 0.219 (0.226) Data 0.043 (0.072) Loss 2.5218 (2.4904) Prec@1 46.094 (44.166) Prec@5 66.016 (69.658)
Epoch: [34][580/5005] Time 0.218 (0.225) Data 0.053 (0.072) Loss 2.5431 (2.4897) Prec@1 41.797 (44.192) Prec@5 70.312 (69.682)
Epoch: [34][590/5005] Time 0.217 (0.225) Data 0.055 (0.071) Loss 2.6554 (2.4898) Prec@1 38.281 (44.167) Prec@5 67.969 (69.686)
Epoch: [34][600/5005] Time 0.218 (0.225) Data 0.045 (0.071) Loss 2.5165 (2.4909) Prec@1 44.922 (44.157) Prec@5 71.094 (69.684)
Epoch: [34][610/5005] Time 0.218 (0.225) Data 0.046 (0.071) Loss 2.5920 (2.4911) Prec@1 42.578 (44.144) Prec@5 67.969 (69.682)
Epoch: [34][620/5005] Time 0.215 (0.225) Data 0.046 (0.070) Loss 2.5482 (2.4912) Prec@1 45.703 (44.132) Prec@5 71.875 (69.695)
Epoch: [34][630/5005] Time 0.209 (0.224) Data 0.048 (0.070) Loss 2.7300 (2.4912) Prec@1 39.062 (44.123) Prec@5 65.625 (69.697)
Epoch: [34][640/5005] Time 0.206 (0.224) Data 0.043 (0.069) Loss 2.3687 (2.4907) Prec@1 44.141 (44.123) Prec@5 70.703 (69.704)
Epoch: [34][650/5005] Time 0.209 (0.224) Data 0.047 (0.069) Loss 2.6046 (2.4919) Prec@1 39.844 (44.106) Prec@5 64.844 (69.671)
Epoch: [34][660/5005] Time 0.197 (0.224) Data 0.051 (0.069) Loss 2.6326 (2.4912) Prec@1 41.016 (44.124) Prec@5 70.312 (69.701)
Epoch: [34][670/5005] Time 0.213 (0.224) Data 0.046 (0.068) Loss 2.6575 (2.4911) Prec@1 39.453 (44.134) Prec@5 70.312 (69.700)
Epoch: [34][680/5005] Time 0.215 (0.224) Data 0.044 (0.068) Loss 2.2960 (2.4903) Prec@1 48.438 (44.144) Prec@5 74.609 (69.712)
Epoch: [34][690/5005] Time 0.218 (0.223) Data 0.041 (0.068) Loss 2.3928 (2.4894) Prec@1 43.359 (44.155) Prec@5 72.266 (69.725)
Epoch: [34][700/5005] Time 0.210 (0.223) Data 0.043 (0.067) Loss 2.4880 (2.4891) Prec@1 43.359 (44.157) Prec@5 67.969 (69.713)
Epoch: [34][710/5005] Time 0.216 (0.223) Data 0.042 (0.067) Loss 2.2036 (2.4882) Prec@1 48.047 (44.174) Prec@5 72.656 (69.713)
Epoch: [34][720/5005] Time 0.209 (0.223) Data 0.044 (0.067) Loss 2.3913 (2.4879) Prec@1 43.750 (44.182) Prec@5 71.094 (69.713)
Epoch: [34][730/5005] Time 0.214 (0.223) Data 0.044 (0.066) Loss 2.6440 (2.4882) Prec@1 42.188 (44.184) Prec@5 69.141 (69.705)
Epoch: [34][740/5005] Time 0.219 (0.223) Data 0.043 (0.066) Loss 2.4862 (2.4882) Prec@1 41.797 (44.185) Prec@5 67.969 (69.681)
Epoch: [34][750/5005] Time 0.207 (0.223) Data 0.042 (0.066) Loss 2.3007 (2.4880) Prec@1 46.484 (44.184) Prec@5 70.312 (69.696)
Epoch: [34][760/5005] Time 0.205 (0.223) Data 0.045 (0.066) Loss 2.5251 (2.4879) Prec@1 42.188 (44.188) Prec@5 69.922 (69.695)
Epoch: [34][770/5005] Time 0.219 (0.222) Data 0.046 (0.065) Loss 2.6406 (2.4864) Prec@1 44.531 (44.223) Prec@5 66.797 (69.712)
Epoch: [34][780/5005] Time 0.213 (0.222) Data 0.059 (0.065) Loss 2.5298 (2.4866) Prec@1 44.141 (44.223) Prec@5 68.750 (69.714)
Epoch: [34][790/5005] Time 0.208 (0.223) Data 0.042 (0.065) Loss 2.6061 (2.4868) Prec@1 45.703 (44.221) Prec@5 67.578 (69.718)
Epoch: [34][800/5005] Time 0.204 (0.222) Data 0.040 (0.065) Loss 2.4329 (2.4858) Prec@1 41.797 (44.244) Prec@5 70.312 (69.732)
Epoch: [34][810/5005] Time 0.210 (0.222) Data 0.043 (0.064) Loss 2.5681 (2.4860) Prec@1 41.406 (44.242) Prec@5 68.359 (69.740)
Epoch: [34][820/5005] Time 0.212 (0.222) Data 0.048 (0.064) Loss 2.6413 (2.4861) Prec@1 40.234 (44.238) Prec@5 65.234 (69.736)
Epoch: [34][830/5005] Time 0.205 (0.222) Data 0.045 (0.064) Loss 2.3576 (2.4859) Prec@1 47.266 (44.245) Prec@5 75.781 (69.736)
Epoch: [34][840/5005] Time 0.211 (0.222) Data 0.045 (0.064) Loss 2.4807 (2.4858) Prec@1 44.922 (44.252) Prec@5 67.188 (69.742)
Epoch: [34][850/5005] Time 0.213 (0.222) Data 0.048 (0.064) Loss 2.7127 (2.4860) Prec@1 41.797 (44.247) Prec@5 66.797 (69.741)
Epoch: [34][860/5005] Time 0.219 (0.222) Data 0.045 (0.063) Loss 2.4807 (2.4860) Prec@1 41.797 (44.248) Prec@5 69.531 (69.734)
Epoch: [34][870/5005] Time 0.210 (0.222) Data 0.051 (0.063) Loss 2.3815 (2.4849) Prec@1 43.359 (44.271) Prec@5 70.703 (69.754)
Epoch: [34][880/5005] Time 0.205 (0.222) Data 0.049 (0.063) Loss 2.3746 (2.4850) Prec@1 43.359 (44.265) Prec@5 68.359 (69.751)
Epoch: [34][890/5005] Time 0.202 (0.222) Data 0.042 (0.063) Loss 2.7811 (2.4845) Prec@1 41.406 (44.270) Prec@5 63.281 (69.751)
Epoch: [34][900/5005] Time 0.209 (0.222) Data 0.044 (0.063) Loss 2.3444 (2.4841) Prec@1 41.797 (44.261) Prec@5 71.094 (69.753)
Epoch: [34][910/5005] Time 0.215 (0.221) Data 0.043 (0.063) Loss 2.4207 (2.4837) Prec@1 44.922 (44.251) Prec@5 69.922 (69.748)
Epoch: [34][920/5005] Time 0.202 (0.222) Data 0.040 (0.063) Loss 2.4803 (2.4828) Prec@1 43.359 (44.261) Prec@5 71.094 (69.769)
Epoch: [34][930/5005] Time 0.192 (0.223) Data 0.086 (0.063) Loss 2.5868 (2.4830) Prec@1 43.359 (44.258) Prec@5 69.141 (69.762)
Epoch: [34][940/5005] Time 0.215 (0.223) Data 0.131 (0.064) Loss 2.3662 (2.4828) Prec@1 46.484 (44.268) Prec@5 73.047 (69.779)
Epoch: [34][950/5005] Time 0.198 (0.223) Data 0.046 (0.065) Loss 2.5110 (2.4834) Prec@1 44.531 (44.261) Prec@5 70.312 (69.770)
Epoch: [34][960/5005] Time 0.213 (0.223) Data 0.049 (0.064) Loss 2.7004 (2.4837) Prec@1 44.531 (44.248) Prec@5 64.062 (69.769)
Epoch: [34][970/5005] Time 0.214 (0.223) Data 0.043 (0.065) Loss 2.2672 (2.4836) Prec@1 47.266 (44.249) Prec@5 73.047 (69.771)
Epoch: [34][980/5005] Time 0.190 (0.223) Data 0.055 (0.065) Loss 2.3136 (2.4827) Prec@1 44.922 (44.270) Prec@5 70.703 (69.786)
Epoch: [34][990/5005] Time 0.209 (0.223) Data 0.050 (0.065) Loss 2.6063 (2.4828) Prec@1 42.578 (44.259) Prec@5 67.188 (69.784)
Epoch: [34][1000/5005] Time 0.208 (0.223) Data 0.060 (0.064) Loss 2.4572 (2.4827) Prec@1 44.531 (44.256) Prec@5 71.875 (69.778)
Epoch: [34][1010/5005] Time 0.214 (0.223) Data 0.042 (0.064) Loss 2.6453 (2.4828) Prec@1 39.844 (44.251) Prec@5 67.969 (69.777)
Epoch: [34][1020/5005] Time 0.200 (0.222) Data 0.060 (0.064) Loss 2.2559 (2.4837) Prec@1 51.172 (44.243) Prec@5 73.047 (69.763)
Epoch: [34][1030/5005] Time 0.216 (0.222) Data 0.043 (0.064) Loss 2.4528 (2.4836) Prec@1 44.922 (44.237) Prec@5 69.141 (69.756)
Epoch: [34][1040/5005] Time 0.205 (0.222) Data 0.047 (0.064) Loss 2.6538 (2.4834) Prec@1 39.453 (44.233) Prec@5 69.531 (69.757)
Epoch: [34][1050/5005] Time 0.207 (0.222) Data 0.042 (0.064) Loss 2.4681 (2.4835) Prec@1 42.578 (44.228) Prec@5 70.703 (69.758)
Epoch: [34][1060/5005] Time 0.204 (0.222) Data 0.050 (0.064) Loss 2.6607 (2.4838) Prec@1 45.312 (44.239) Prec@5 66.406 (69.754)
Epoch: [34][1070/5005] Time 0.215 (0.222) Data 0.045 (0.064) Loss 2.5652 (2.4837) Prec@1 44.141 (44.245) Prec@5 68.359 (69.745)
Epoch: [34][1080/5005] Time 0.226 (0.222) Data 0.047 (0.063) Loss 2.5426 (2.4839) Prec@1 42.969 (44.245) Prec@5 69.922 (69.748)
Epoch: [34][1090/5005] Time 0.216 (0.222) Data 0.047 (0.063) Loss 2.3379 (2.4835) Prec@1 46.484 (44.250) Prec@5 69.141 (69.760)
Epoch: [34][1100/5005] Time 0.200 (0.222) Data 0.062 (0.063) Loss 2.3530 (2.4831) Prec@1 47.656 (44.254) Prec@5 72.266 (69.774)
Epoch: [34][1110/5005] Time 0.197 (0.222) Data 0.068 (0.063) Loss 2.4358 (2.4830) Prec@1 45.312 (44.258) Prec@5 71.484 (69.780)
Epoch: [34][1120/5005] Time 0.208 (0.221) Data 0.049 (0.063) Loss 2.4442 (2.4821) Prec@1 44.531 (44.266) Prec@5 71.094 (69.795)
Epoch: [34][1130/5005] Time 0.208 (0.221) Data 0.061 (0.063) Loss 2.6095 (2.4826) Prec@1 43.750 (44.270) Prec@5 68.359 (69.788)
Epoch: [34][1140/5005] Time 0.208 (0.221) Data 0.057 (0.063) Loss 2.4922 (2.4823) Prec@1 42.969 (44.273) Prec@5 70.312 (69.790)
Epoch: [34][1150/5005] Time 0.219 (0.221) Data 0.043 (0.063) Loss 2.5101 (2.4821) Prec@1 39.844 (44.272) Prec@5 71.094 (69.801)
Epoch: [34][1160/5005] Time 0.205 (0.221) Data 0.047 (0.063) Loss 2.5444 (2.4821) Prec@1 45.312 (44.266) Prec@5 68.359 (69.798)
Epoch: [34][1170/5005] Time 0.208 (0.221) Data 0.040 (0.062) Loss 2.3206 (2.4818) Prec@1 45.703 (44.271) Prec@5 70.312 (69.796)
Epoch: [34][1180/5005] Time 0.209 (0.221) Data 0.063 (0.062) Loss 2.5127 (2.4817) Prec@1 43.359 (44.265) Prec@5 67.578 (69.800)
Epoch: [34][1190/5005] Time 0.216 (0.221) Data 0.044 (0.062) Loss 2.3072 (2.4812) Prec@1 44.141 (44.273) Prec@5 73.047 (69.804)
Epoch: [34][1200/5005] Time 0.210 (0.221) Data 0.058 (0.062) Loss 2.6412 (2.4812) Prec@1 40.625 (44.270) Prec@5 67.969 (69.803)
Epoch: [34][1210/5005] Time 0.209 (0.221) Data 0.042 (0.062) Loss 2.3818 (2.4814) Prec@1 42.188 (44.266) Prec@5 71.484 (69.802)
Epoch: [34][1220/5005] Time 0.210 (0.221) Data 0.045 (0.062) Loss 2.4778 (2.4818) Prec@1 43.359 (44.257) Prec@5 69.922 (69.795)
Epoch: [34][1230/5005] Time 0.207 (0.221) Data 0.042 (0.062) Loss 2.5568 (2.4817) Prec@1 44.922 (44.256) Prec@5 66.797 (69.800)
Epoch: [34][1240/5005] Time 0.200 (0.221) Data 0.046 (0.063) Loss 2.5889 (2.4818) Prec@1 42.969 (44.249) Prec@5 67.578 (69.794)
Epoch: [34][1250/5005] Time 0.206 (0.221) Data 0.040 (0.062) Loss 2.7370 (2.4824) Prec@1 39.062 (44.230) Prec@5 66.016 (69.780)
Epoch: [34][1260/5005] Time 0.470 (0.221) Data 0.386 (0.063) Loss 2.2097 (2.4814) Prec@1 50.781 (44.241) Prec@5 73.438 (69.800)
Epoch: [34][1270/5005] Time 0.200 (0.221) Data 0.051 (0.063) Loss 2.5782 (2.4821) Prec@1 39.844 (44.225) Prec@5 68.750 (69.791)
Epoch: [34][1280/5005] Time 0.205 (0.221) Data 0.055 (0.063) Loss 2.4620 (2.4823) Prec@1 49.219 (44.231) Prec@5 71.484 (69.784)
Epoch: [34][1290/5005] Time 0.280 (0.221) Data 0.195 (0.064) Loss 2.2485 (2.4820) Prec@1 49.219 (44.244) Prec@5 75.000 (69.781)
Epoch: [34][1300/5005] Time 0.306 (0.221) Data 0.220 (0.064) Loss 2.2917 (2.4817) Prec@1 48.047 (44.251) Prec@5 73.438 (69.789)
Epoch: [34][1310/5005] Time 0.204 (0.221) Data 0.050 (0.063) Loss 2.3964 (2.4814) Prec@1 45.703 (44.258) Prec@5 72.266 (69.798)
Epoch: [34][1320/5005] Time 0.203 (0.221) Data 0.055 (0.064) Loss 2.5123 (2.4814) Prec@1 42.969 (44.255) Prec@5 70.312 (69.799)
Epoch: [34][1330/5005] Time 0.201 (0.221) Data 0.047 (0.064) Loss 2.6542 (2.4818) Prec@1 44.141 (44.254) Prec@5 67.969 (69.790)
Epoch: [34][1340/5005] Time 0.279 (0.221) Data 0.191 (0.064) Loss 2.4826 (2.4817) Prec@1 42.188 (44.252) Prec@5 67.578 (69.792)
Epoch: [34][1350/5005] Time 0.292 (0.221) Data 0.203 (0.064) Loss 2.8265 (2.4820) Prec@1 43.750 (44.241) Prec@5 66.016 (69.784)
Epoch: [34][1360/5005] Time 0.212 (0.221) Data 0.055 (0.064) Loss 2.4684 (2.4818) Prec@1 43.750 (44.245) Prec@5 68.750 (69.783)
Epoch: [34][1370/5005] Time 0.204 (0.221) Data 0.043 (0.064) Loss 2.5530 (2.4816) Prec@1 42.969 (44.247) Prec@5 70.703 (69.787)
Epoch: [34][1380/5005] Time 0.209 (0.221) Data 0.058 (0.064) Loss 2.5113 (2.4813) Prec@1 45.703 (44.249) Prec@5 69.531 (69.800)
Epoch: [34][1390/5005] Time 0.200 (0.221) Data 0.048 (0.065) Loss 2.3737 (2.4813) Prec@1 44.531 (44.249) Prec@5 71.875 (69.798)
Epoch: [34][1400/5005] Time 0.292 (0.221) Data 0.210 (0.065) Loss 2.4946 (2.4807) Prec@1 44.141 (44.252) Prec@5 69.531 (69.811)
Epoch: [34][1410/5005] Time 0.204 (0.221) Data 0.040 (0.065) Loss 2.4472 (2.4801) Prec@1 42.578 (44.260) Prec@5 70.312 (69.819)
Epoch: [34][1420/5005] Time 0.198 (0.221) Data 0.048 (0.065) Loss 2.8148 (2.4801) Prec@1 40.234 (44.254) Prec@5 65.234 (69.819)
Epoch: [34][1430/5005] Time 0.207 (0.221) Data 0.045 (0.065) Loss 2.1964 (2.4796) Prec@1 48.828 (44.270) Prec@5 75.000 (69.827)
Epoch: [34][1440/5005] Time 0.198 (0.221) Data 0.082 (0.066) Loss 2.2206 (2.4794) Prec@1 46.875 (44.269) Prec@5 75.000 (69.831)
Epoch: [34][1450/5005] Time 0.199 (0.221) Data 0.044 (0.066) Loss 2.4634 (2.4794) Prec@1 47.656 (44.273) Prec@5 71.094 (69.828)
Epoch: [34][1460/5005] Time 0.194 (0.221) Data 0.050 (0.066) Loss 2.4859 (2.4790) Prec@1 39.453 (44.283) Prec@5 69.922 (69.840)
Epoch: [34][1470/5005] Time 0.246 (0.221) Data 0.157 (0.066) Loss 2.5736 (2.4792) Prec@1 44.531 (44.283) Prec@5 67.969 (69.841)
Epoch: [34][1480/5005] Time 0.202 (0.221) Data 0.046 (0.066) Loss 2.2741 (2.4793) Prec@1 48.438 (44.286) Prec@5 75.391 (69.843)
Epoch: [34][1490/5005] Time 0.200 (0.221) Data 0.049 (0.066) Loss 2.7790 (2.4793) Prec@1 37.500 (44.285) Prec@5 66.016 (69.844)
Epoch: [34][1500/5005] Time 0.199 (0.221) Data 0.050 (0.066) Loss 2.4235 (2.4792) Prec@1 43.359 (44.286) Prec@5 70.312 (69.850)
Epoch: [34][1510/5005] Time 0.202 (0.221) Data 0.065 (0.067) Loss 2.4386 (2.4789) Prec@1 41.016 (44.283) Prec@5 70.703 (69.850)
Epoch: [34][1520/5005] Time 0.209 (0.221) Data 0.042 (0.067) Loss 2.4896 (2.4787) Prec@1 42.188 (44.283) Prec@5 70.703 (69.857)
Epoch: [34][1530/5005] Time 0.210 (0.221) Data 0.046 (0.067) Loss 2.6518 (2.4788) Prec@1 33.984 (44.273) Prec@5 66.406 (69.853)
Epoch: [34][1540/5005] Time 0.205 (0.222) Data 0.045 (0.067) Loss 2.5846 (2.4791) Prec@1 41.797 (44.265) Prec@5 67.578 (69.845)
Epoch: [34][1550/5005] Time 0.199 (0.221) Data 0.052 (0.067) Loss 2.5108 (2.4787) Prec@1 45.703 (44.275) Prec@5 71.875 (69.849)
Epoch: [34][1560/5005] Time 0.189 (0.222) Data 0.069 (0.067) Loss 2.3500 (2.4787) Prec@1 43.750 (44.274) Prec@5 69.141 (69.852)
Epoch: [34][1570/5005] Time 0.368 (0.222) Data 0.283 (0.068) Loss 2.3381 (2.4784) Prec@1 48.828 (44.279) Prec@5 71.875 (69.855)
Epoch: [34][1580/5005] Time 0.209 (0.222) Data 0.045 (0.068) Loss 2.2710 (2.4786) Prec@1 48.438 (44.270) Prec@5 75.781 (69.861)
Epoch: [34][1590/5005] Time 0.205 (0.222) Data 0.044 (0.068) Loss 2.4966 (2.4786) Prec@1 44.922 (44.261) Prec@5 69.922 (69.858)
Epoch: [34][1600/5005] Time 0.423 (0.222) Data 0.338 (0.068) Loss 2.5534 (2.4786) Prec@1 43.359 (44.263) Prec@5 68.750 (69.859)
Epoch: [34][1610/5005] Time 0.201 (0.222) Data 0.048 (0.069) Loss 2.4941 (2.4786) Prec@1 47.266 (44.264) Prec@5 70.703 (69.859)
Epoch: [34][1620/5005] Time 0.204 (0.222) Data 0.043 (0.068) Loss 2.6069 (2.4785) Prec@1 39.453 (44.258) Prec@5 64.453 (69.853)
Epoch: [34][1630/5005] Time 0.217 (0.222) Data 0.044 (0.068) Loss 2.4253 (2.4785) Prec@1 44.922 (44.258) Prec@5 72.656 (69.851)
Epoch: [34][1640/5005] Time 0.201 (0.222) Data 0.060 (0.068) Loss 2.4315 (2.4786) Prec@1 48.047 (44.265) Prec@5 69.531 (69.847)
Epoch: [34][1650/5005] Time 0.206 (0.222) Data 0.046 (0.068) Loss 2.5468 (2.4786) Prec@1 44.531 (44.270) Prec@5 67.969 (69.844)
Epoch: [34][1660/5005] Time 0.202 (0.222) Data 0.048 (0.068) Loss 2.3350 (2.4780) Prec@1 46.484 (44.282) Prec@5 72.656 (69.851)
Epoch: [34][1670/5005] Time 0.199 (0.222) Data 0.045 (0.068) Loss 2.2194 (2.4779) Prec@1 50.781 (44.282) Prec@5 74.609 (69.853)
Epoch: [34][1680/5005] Time 0.205 (0.222) Data 0.048 (0.068) Loss 2.6484 (2.4782) Prec@1 45.312 (44.284) Prec@5 66.797 (69.848)
Epoch: [34][1690/5005] Time 0.205 (0.222) Data 0.049 (0.068) Loss 2.3669 (2.4779) Prec@1 46.094 (44.289) Prec@5 72.266 (69.855)
Epoch: [34][1700/5005] Time 0.202 (0.222) Data 0.048 (0.068) Loss 2.3708 (2.4775) Prec@1 48.438 (44.302) Prec@5 71.875 (69.863)
Epoch: [34][1710/5005] Time 0.567 (0.222) Data 0.476 (0.069) Loss 2.4372 (2.4770) Prec@1 42.969 (44.301) Prec@5 68.359 (69.871)
Epoch: [34][1720/5005] Time 0.201 (0.223) Data 0.055 (0.069) Loss 2.5624 (2.4772) Prec@1 44.141 (44.290) Prec@5 67.578 (69.863)
Epoch: [34][1730/5005] Time 0.201 (0.222) Data 0.046 (0.069) Loss 2.4670 (2.4769) Prec@1 40.234 (44.292) Prec@5 70.312 (69.872)
Epoch: [34][1740/5005] Time 0.203 (0.223) Data 0.051 (0.069) Loss 2.7341 (2.4768) Prec@1 39.062 (44.294) Prec@5 63.281 (69.873)
Epoch: [34][1750/5005] Time 0.208 (0.223) Data 0.058 (0.069) Loss 2.3903 (2.4764) Prec@1 42.969 (44.292) Prec@5 70.312 (69.884)
Epoch: [34][1760/5005] Time 0.205 (0.223) Data 0.050 (0.069) Loss 2.2690 (2.4760) Prec@1 45.312 (44.303) Prec@5 73.047 (69.892)
Epoch: [34][1770/5005] Time 0.206 (0.222) Data 0.050 (0.069) Loss 2.6017 (2.4757) Prec@1 41.797 (44.305) Prec@5 70.703 (69.897)
Epoch: [34][1780/5005] Time 0.209 (0.222) Data 0.041 (0.069) Loss 2.4519 (2.4757) Prec@1 44.922 (44.309) Prec@5 69.922 (69.894)
Epoch: [34][1790/5005] Time 0.207 (0.222) Data 0.049 (0.068) Loss 2.3571 (2.4753) Prec@1 46.094 (44.319) Prec@5 70.703 (69.899)
Epoch: [34][1800/5005] Time 0.206 (0.222) Data 0.044 (0.068) Loss 2.4625 (2.4749) Prec@1 46.094 (44.327) Prec@5 68.750 (69.899)
Epoch: [34][1810/5005] Time 0.214 (0.222) Data 0.043 (0.068) Loss 2.3407 (2.4747) Prec@1 44.922 (44.324) Prec@5 73.047 (69.904)
Epoch: [34][1820/5005] Time 0.195 (0.222) Data 0.047 (0.068) Loss 2.4826 (2.4746) Prec@1 39.453 (44.322) Prec@5 72.656 (69.911)
Epoch: [34][1830/5005] Time 0.239 (0.222) Data 0.152 (0.069) Loss 2.2493 (2.4744) Prec@1 46.484 (44.325) Prec@5 75.391 (69.910)
Epoch: [34][1840/5005] Time 0.204 (0.222) Data 0.051 (0.069) Loss 2.6819 (2.4744) Prec@1 41.016 (44.327) Prec@5 65.625 (69.910)
Epoch: [34][1850/5005] Time 0.204 (0.222) Data 0.044 (0.069) Loss 2.4960 (2.4743) Prec@1 44.141 (44.327) Prec@5 70.312 (69.911)
Epoch: [34][1860/5005] Time 0.198 (0.222) Data 0.050 (0.069) Loss 2.4659 (2.4744) Prec@1 44.531 (44.320) Prec@5 68.359 (69.909)
Epoch: [34][1870/5005] Time 0.200 (0.222) Data 0.063 (0.069) Loss 2.6390 (2.4748) Prec@1 38.672 (44.312) Prec@5 67.188 (69.903)
Epoch: [34][1880/5005] Time 0.199 (0.222) Data 0.046 (0.069) Loss 2.4714 (2.4750) Prec@1 48.828 (44.310) Prec@5 71.875 (69.900)
Epoch: [34][1890/5005] Time 0.192 (0.222) Data 0.108 (0.069) Loss 2.4538 (2.4747) Prec@1 44.141 (44.315) Prec@5 69.922 (69.906)
Epoch: [34][1900/5005] Time 0.531 (0.222) Data 0.451 (0.069) Loss 2.3576 (2.4750) Prec@1 42.578 (44.312) Prec@5 71.094 (69.903)
Epoch: [34][1910/5005] Time 0.226 (0.222) Data 0.146 (0.069) Loss 2.4526 (2.4749) Prec@1 39.844 (44.310) Prec@5 71.875 (69.899)
Epoch: [34][1920/5005] Time 0.208 (0.222) Data 0.042 (0.069) Loss 2.2996 (2.4747) Prec@1 44.141 (44.306) Prec@5 72.266 (69.907)
Epoch: [34][1930/5005] Time 0.206 (0.222) Data 0.044 (0.069) Loss 2.2951 (2.4745) Prec@1 48.047 (44.310) Prec@5 72.266 (69.910)
Epoch: [34][1940/5005] Time 0.222 (0.222) Data 0.134 (0.070) Loss 2.3145 (2.4742) Prec@1 46.875 (44.312) Prec@5 71.875 (69.916)
Epoch: [34][1950/5005] Time 0.201 (0.223) Data 0.041 (0.069) Loss 2.6421 (2.4739) Prec@1 40.234 (44.315) Prec@5 69.531 (69.923)
Epoch: [34][1960/5005] Time 0.202 (0.223) Data 0.040 (0.069) Loss 2.3782 (2.4738) Prec@1 46.094 (44.317) Prec@5 73.047 (69.926)
Epoch: [34][1970/5005] Time 0.206 (0.223) Data 0.040 (0.069) Loss 2.3986 (2.4740) Prec@1 43.750 (44.311) Prec@5 70.703 (69.920)
Epoch: [34][1980/5005] Time 0.548 (0.223) Data 0.461 (0.069) Loss 2.2212 (2.4739) Prec@1 50.391 (44.314) Prec@5 72.656 (69.927)
Epoch: [34][1990/5005] Time 0.198 (0.223) Data 0.053 (0.069) Loss 2.3848 (2.4738) Prec@1 47.266 (44.319) Prec@5 70.312 (69.925)
Epoch: [34][2000/5005] Time 0.201 (0.223) Data 0.048 (0.069) Loss 2.3384 (2.4740) Prec@1 46.484 (44.319) Prec@5 73.047 (69.925)
Epoch: [34][2010/5005] Time 0.208 (0.222) Data 0.046 (0.069) Loss 2.3036 (2.4740) Prec@1 48.047 (44.316) Prec@5 72.266 (69.920)
Epoch: [34][2020/5005] Time 0.227 (0.222) Data 0.141 (0.069) Loss 2.4077 (2.4740) Prec@1 48.438 (44.315) Prec@5 69.141 (69.919)
Epoch: [34][2030/5005] Time 0.203 (0.223) Data 0.050 (0.069) Loss 2.4868 (2.4742) Prec@1 43.750 (44.316) Prec@5 69.922 (69.914)
Epoch: [34][2040/5005] Time 0.192 (0.223) Data 0.052 (0.070) Loss 2.2645 (2.4739) Prec@1 46.094 (44.319) Prec@5 73.047 (69.919)
Epoch: [34][2050/5005] Time 0.209 (0.223) Data 0.045 (0.070) Loss 2.4395 (2.4737) Prec@1 44.141 (44.321) Prec@5 70.312 (69.924)
Epoch: [34][2060/5005] Time 0.206 (0.223) Data 0.060 (0.070) Loss 2.5353 (2.4737) Prec@1 40.234 (44.315) Prec@5 67.578 (69.929)
Epoch: [34][2070/5005] Time 0.211 (0.223) Data 0.044 (0.070) Loss 2.6595 (2.4739) Prec@1 38.281 (44.307) Prec@5 66.797 (69.919)
Epoch: [34][2080/5005] Time 0.212 (0.223) Data 0.047 (0.070) Loss 2.4616 (2.4738) Prec@1 45.703 (44.308) Prec@5 69.531 (69.920)
Epoch: [34][2090/5005] Time 0.209 (0.222) Data 0.044 (0.070) Loss 2.2521 (2.4732) Prec@1 47.656 (44.316) Prec@5 74.609 (69.928)
Epoch: [34][2100/5005] Time 0.210 (0.222) Data 0.042 (0.070) Loss 2.4400 (2.4731) Prec@1 45.703 (44.318) Prec@5 71.094 (69.926)
Epoch: [34][2110/5005] Time 0.203 (0.222) Data 0.045 (0.070) Loss 2.2964 (2.4730) Prec@1 47.656 (44.325) Prec@5 71.875 (69.928)
Epoch: [34][2120/5005] Time 0.202 (0.223) Data 0.087 (0.070) Loss 2.3873 (2.4729) Prec@1 48.047 (44.328) Prec@5 72.266 (69.930)
Epoch: [34][2130/5005] Time 0.198 (0.223) Data 0.051 (0.071) Loss 2.4673 (2.4726) Prec@1 42.969 (44.330) Prec@5 68.750 (69.939)
Epoch: [34][2140/5005] Time 0.190 (0.223) Data 0.050 (0.071) Loss 2.4375 (2.4727) Prec@1 44.922 (44.329) Prec@5 68.359 (69.936)
Epoch: [34][2150/5005] Time 0.217 (0.223) Data 0.048 (0.071) Loss 2.2756 (2.4726) Prec@1 49.609 (44.331) Prec@5 72.656 (69.938)
Epoch: [34][2160/5005] Time 0.208 (0.223) Data 0.052 (0.071) Loss 2.4104 (2.4725) Prec@1 42.969 (44.331) Prec@5 70.703 (69.939)
Epoch: [34][2170/5005] Time 0.195 (0.223) Data 0.047 (0.071) Loss 2.2764 (2.4722) Prec@1 47.656 (44.337) Prec@5 72.656 (69.941)
Epoch: [34][2180/5005] Time 0.197 (0.223) Data 0.057 (0.071) Loss 2.5094 (2.4722) Prec@1 45.703 (44.335) Prec@5 66.797 (69.944)
Epoch: [34][2190/5005] Time 0.198 (0.223) Data 0.047 (0.071) Loss 2.5854 (2.4722) Prec@1 41.797 (44.332) Prec@5 66.016 (69.941)
Epoch: [34][2200/5005] Time 0.205 (0.223) Data 0.044 (0.071) Loss 2.5550 (2.4725) Prec@1 42.969 (44.330) Prec@5 68.359 (69.937)
Epoch: [34][2210/5005] Time 0.219 (0.223) Data 0.139 (0.071) Loss 2.5329 (2.4728) Prec@1 41.797 (44.327) Prec@5 64.453 (69.934)
Epoch: [34][2220/5005] Time 0.208 (0.223) Data 0.061 (0.071) Loss 2.7349 (2.4727) Prec@1 39.453 (44.325) Prec@5 65.234 (69.934)
Epoch: [34][2230/5005] Time 0.202 (0.223) Data 0.044 (0.071) Loss 2.4119 (2.4727) Prec@1 48.047 (44.327) Prec@5 71.094 (69.933)
Epoch: [34][2240/5005] Time 0.202 (0.223) Data 0.041 (0.071) Loss 2.3783 (2.4727) Prec@1 46.094 (44.323) Prec@5 70.703 (69.934)
Epoch: [34][2250/5005] Time 0.198 (0.223) Data 0.046 (0.071) Loss 2.3485 (2.4727) Prec@1 42.578 (44.324) Prec@5 72.266 (69.937)
Epoch: [34][2260/5005] Time 0.212 (0.223) Data 0.046 (0.071) Loss 2.3284 (2.4723) Prec@1 45.703 (44.330) Prec@5 71.094 (69.941)
Epoch: [34][2270/5005] Time 0.194 (0.223) Data 0.051 (0.071) Loss 2.6109 (2.4721) Prec@1 40.234 (44.335) Prec@5 70.312 (69.945)
Epoch: [34][2280/5005] Time 0.243 (0.223) Data 0.157 (0.071) Loss 2.5802 (2.4720) Prec@1 43.359 (44.342) Prec@5 67.188 (69.946)
Epoch: [34][2290/5005] Time 0.344 (0.223) Data 0.254 (0.071) Loss 2.4129 (2.4720) Prec@1 47.266 (44.342) Prec@5 71.484 (69.947)
Epoch: [34][2300/5005] Time 0.200 (0.223) Data 0.051 (0.071) Loss 2.4057 (2.4721) Prec@1 44.922 (44.342) Prec@5 69.922 (69.944)
Epoch: [34][2310/5005] Time 0.209 (0.223) Data 0.056 (0.071) Loss 2.3716 (2.4719) Prec@1 45.703 (44.348) Prec@5 69.922 (69.945)
Epoch: [34][2320/5005] Time 0.203 (0.223) Data 0.058 (0.071) Loss 2.5294 (2.4718) Prec@1 46.875 (44.356) Prec@5 68.750 (69.946)
Epoch: [34][2330/5005] Time 0.202 (0.223) Data 0.054 (0.071) Loss 2.4792 (2.4718) Prec@1 44.141 (44.352) Prec@5 71.875 (69.946)
Epoch: [34][2340/5005] Time 0.542 (0.223) Data 0.453 (0.072) Loss 2.4561 (2.4715) Prec@1 41.016 (44.356) Prec@5 68.359 (69.952)
Epoch: [34][2350/5005] Time 0.208 (0.223) Data 0.050 (0.072) Loss 2.3712 (2.4715) Prec@1 47.266 (44.354) Prec@5 71.094 (69.949)
Epoch: [34][2360/5005] Time 0.200 (0.223) Data 0.046 (0.072) Loss 2.4671 (2.4714) Prec@1 42.969 (44.355) Prec@5 70.312 (69.952)
Epoch: [34][2370/5005] Time 0.203 (0.223) Data 0.056 (0.072) Loss 2.4812 (2.4714) Prec@1 41.016 (44.347) Prec@5 69.141 (69.948)
Epoch: [34][2380/5005] Time 0.310 (0.223) Data 0.221 (0.072) Loss 2.4611 (2.4712) Prec@1 48.828 (44.353) Prec@5 69.531 (69.954)
Epoch: [34][2390/5005] Time 0.500 (0.223) Data 0.417 (0.072) Loss 2.3347 (2.4710) Prec@1 47.656 (44.356) Prec@5 73.828 (69.957)
Epoch: [34][2400/5005] Time 0.205 (0.223) Data 0.042 (0.072) Loss 2.3888 (2.4709) Prec@1 47.656 (44.355) Prec@5 71.094 (69.965)
Epoch: [34][2410/5005] Time 0.210 (0.223) Data 0.045 (0.072) Loss 2.6854 (2.4708) Prec@1 39.844 (44.358) Prec@5 65.234 (69.965)
Epoch: [34][2420/5005] Time 0.202 (0.223) Data 0.046 (0.072) Loss 2.5287 (2.4705) Prec@1 44.531 (44.366) Prec@5 70.312 (69.970)
Epoch: [34][2430/5005] Time 0.431 (0.223) Data 0.343 (0.072) Loss 2.2768 (2.4705) Prec@1 49.219 (44.364) Prec@5 68.359 (69.969)
Epoch: [34][2440/5005] Time 0.209 (0.223) Data 0.043 (0.072) Loss 2.2906 (2.4704) Prec@1 51.172 (44.371) Prec@5 74.219 (69.971)
Epoch: [34][2450/5005] Time 0.203 (0.223) Data 0.040 (0.072) Loss 2.4701 (2.4701) Prec@1 41.797 (44.374) Prec@5 67.188 (69.971)
Epoch: [34][2460/5005] Time 0.219 (0.223) Data 0.042 (0.072) Loss 2.3868 (2.4699) Prec@1 47.656 (44.379) Prec@5 71.484 (69.971)
Epoch: [34][2470/5005] Time 0.203 (0.223) Data 0.050 (0.072) Loss 2.3822 (2.4697) Prec@1 46.484 (44.381) Prec@5 70.312 (69.971)
Epoch: [34][2480/5005] Time 0.204 (0.223) Data 0.042 (0.072) Loss 2.5335 (2.4698) Prec@1 43.359 (44.379) Prec@5 69.531 (69.970)
Epoch: [34][2490/5005] Time 0.197 (0.223) Data 0.044 (0.072) Loss 2.2191 (2.4698) Prec@1 50.391 (44.375) Prec@5 71.875 (69.973)
Epoch: [34][2500/5005] Time 0.202 (0.223) Data 0.079 (0.072) Loss 2.4593 (2.4698) Prec@1 46.094 (44.379) Prec@5 69.141 (69.974)
Epoch: [34][2510/5005] Time 0.205 (0.223) Data 0.048 (0.072) Loss 2.5206 (2.4698) Prec@1 43.359 (44.380) Prec@5 71.875 (69.977)
Epoch: [34][2520/5005] Time 0.201 (0.223) Data 0.050 (0.072) Loss 2.5152 (2.4699) Prec@1 42.578 (44.376) Prec@5 69.531 (69.973)
Epoch: [34][2530/5005] Time 0.207 (0.223) Data 0.040 (0.072) Loss 2.6601 (2.4700) Prec@1 45.703 (44.377) Prec@5 65.625 (69.972)
Epoch: [34][2540/5005] Time 0.205 (0.223) Data 0.049 (0.072) Loss 2.4050 (2.4698) Prec@1 45.312 (44.385) Prec@5 71.094 (69.977)
Epoch: [34][2550/5005] Time 0.201 (0.223) Data 0.046 (0.072) Loss 2.3100 (2.4696) Prec@1 45.703 (44.390) Prec@5 74.609 (69.981)
Epoch: [34][2560/5005] Time 0.209 (0.223) Data 0.043 (0.072) Loss 2.6573 (2.4697) Prec@1 40.625 (44.389) Prec@5 69.141 (69.980)
Epoch: [34][2570/5005] Time 0.206 (0.223) Data 0.043 (0.072) Loss 2.4635 (2.4697) Prec@1 41.406 (44.391) Prec@5 73.438 (69.982)
Epoch: [34][2580/5005] Time 0.204 (0.223) Data 0.040 (0.072) Loss 2.5357 (2.4698) Prec@1 43.359 (44.385) Prec@5 69.531 (69.981)
Epoch: [34][2590/5005] Time 0.206 (0.223) Data 0.040 (0.072) Loss 2.5321 (2.4696) Prec@1 41.016 (44.390) Prec@5 69.922 (69.976)
Epoch: [34][2600/5005] Time 0.202 (0.223) Data 0.049 (0.072) Loss 2.5199 (2.4698) Prec@1 44.141 (44.387) Prec@5 69.141 (69.977)
Epoch: [34][2610/5005] Time 0.207 (0.223) Data 0.040 (0.072) Loss 2.6272 (2.4696) Prec@1 42.188 (44.393) Prec@5 66.797 (69.979)
Epoch: [34][2620/5005] Time 0.201 (0.223) Data 0.046 (0.072) Loss 2.3645 (2.4696) Prec@1 41.406 (44.391) Prec@5 69.922 (69.981)
Epoch: [34][2630/5005] Time 0.208 (0.223) Data 0.043 (0.072) Loss 2.7170 (2.4700) Prec@1 39.453 (44.393) Prec@5 64.453 (69.970)
Epoch: [34][2640/5005] Time 0.210 (0.223) Data 0.042 (0.072) Loss 2.6395 (2.4701) Prec@1 38.672 (44.388) Prec@5 66.406 (69.964)
Epoch: [34][2650/5005] Time 0.203 (0.223) Data 0.060 (0.072) Loss 2.5880 (2.4701) Prec@1 39.844 (44.390) Prec@5 68.750 (69.964)
Epoch: [34][2660/5005] Time 0.206 (0.223) Data 0.088 (0.072) Loss 2.4509 (2.4701) Prec@1 46.875 (44.391) Prec@5 69.922 (69.962)
Epoch: [34][2670/5005] Time 0.455 (0.224) Data 0.370 (0.073) Loss 2.1654 (2.4698) Prec@1 47.656 (44.399) Prec@5 74.219 (69.967)
Epoch: [34][2680/5005] Time 0.203 (0.224) Data 0.046 (0.073) Loss 2.4623 (2.4697) Prec@1 45.703 (44.396) Prec@5 68.750 (69.967)
Epoch: [34][2690/5005] Time 0.198 (0.224) Data 0.048 (0.073) Loss 2.3937 (2.4697) Prec@1 46.484 (44.397) Prec@5 70.312 (69.968)
Epoch: [34][2700/5005] Time 0.210 (0.224) Data 0.042 (0.073) Loss 2.4480 (2.4697) Prec@1 39.062 (44.392) Prec@5 68.359 (69.968)
Epoch: [34][2710/5005] Time 0.203 (0.224) Data 0.050 (0.073) Loss 2.3906 (2.4699) Prec@1 46.094 (44.389) Prec@5 71.484 (69.968)
Epoch: [34][2720/5005] Time 0.288 (0.224) Data 0.207 (0.073) Loss 2.3918 (2.4698) Prec@1 50.391 (44.386) Prec@5 69.922 (69.969)
Epoch: [34][2730/5005] Time 0.193 (0.223) Data 0.056 (0.073) Loss 2.5053 (2.4697) Prec@1 45.312 (44.390) Prec@5 68.359 (69.972)
Epoch: [34][2740/5005] Time 0.207 (0.223) Data 0.040 (0.073) Loss 2.4247 (2.4697) Prec@1 45.703 (44.393) Prec@5 71.875 (69.972)
Epoch: [34][2750/5005] Time 0.193 (0.223) Data 0.043 (0.073) Loss 2.4283 (2.4696) Prec@1 46.875 (44.398) Prec@5 71.484 (69.973)
Epoch: [34][2760/5005] Time 0.277 (0.223) Data 0.192 (0.073) Loss 2.4334 (2.4694) Prec@1 50.000 (44.402) Prec@5 71.875 (69.979)
Epoch: [34][2770/5005] Time 0.208 (0.224) Data 0.045 (0.073) Loss 2.4237 (2.4696) Prec@1 44.922 (44.396) Prec@5 71.094 (69.978)
Epoch: [34][2780/5005] Time 0.197 (0.223) Data 0.048 (0.073) Loss 2.8237 (2.4698) Prec@1 36.328 (44.395) Prec@5 62.891 (69.973)
Epoch: [34][2790/5005] Time 0.206 (0.223) Data 0.048 (0.073) Loss 2.7626 (2.4701) Prec@1 37.891 (44.391) Prec@5 61.328 (69.970)
Epoch: [34][2800/5005] Time 0.268 (0.223) Data 0.186 (0.073) Loss 2.2134 (2.4700) Prec@1 50.781 (44.396) Prec@5 73.828 (69.974)
Epoch: [34][2810/5005] Time 0.200 (0.223) Data 0.045 (0.073) Loss 2.5614 (2.4700) Prec@1 44.531 (44.396) Prec@5 66.406 (69.973)
Epoch: [34][2820/5005] Time 0.213 (0.223) Data 0.045 (0.073) Loss 2.1382 (2.4697) Prec@1 44.141 (44.393) Prec@5 73.438 (69.975)
Epoch: [34][2830/5005] Time 0.208 (0.223) Data 0.050 (0.073) Loss 2.5904 (2.4698) Prec@1 41.406 (44.389) Prec@5 66.016 (69.977)
Epoch: [34][2840/5005] Time 0.209 (0.223) Data 0.041 (0.073) Loss 2.4940 (2.4697) Prec@1 47.266 (44.390) Prec@5 69.141 (69.977)
Epoch: [34][2850/5005] Time 0.207 (0.223) Data 0.043 (0.073) Loss 2.5136 (2.4697) Prec@1 43.359 (44.391) Prec@5 67.578 (69.978)
Epoch: [34][2860/5005] Time 0.214 (0.223) Data 0.047 (0.073) Loss 2.5742 (2.4698) Prec@1 43.359 (44.388) Prec@5 70.312 (69.977)
Epoch: [34][2870/5005] Time 0.200 (0.223) Data 0.040 (0.073) Loss 2.3400 (2.4695) Prec@1 44.922 (44.395) Prec@5 75.391 (69.981)
Epoch: [34][2880/5005] Time 0.211 (0.223) Data 0.045 (0.073) Loss 2.3943 (2.4694) Prec@1 46.875 (44.396) Prec@5 69.922 (69.982)
Epoch: [34][2890/5005] Time 0.202 (0.223) Data 0.061 (0.073) Loss 2.4609 (2.4693) Prec@1 40.234 (44.401) Prec@5 68.750 (69.983)
Epoch: [34][2900/5005] Time 0.201 (0.223) Data 0.048 (0.073) Loss 2.1357 (2.4689) Prec@1 48.438 (44.405) Prec@5 74.219 (69.990)
Epoch: [34][2910/5005] Time 0.208 (0.223) Data 0.043 (0.073) Loss 2.4957 (2.4689) Prec@1 41.797 (44.402) Prec@5 69.922 (69.992)
Epoch: [34][2920/5005] Time 0.200 (0.223) Data 0.046 (0.073) Loss 2.4686 (2.4689) Prec@1 42.578 (44.405) Prec@5 69.922 (69.994)
Epoch: [34][2930/5005] Time 0.313 (0.223) Data 0.234 (0.073) Loss 2.6812 (2.4688) Prec@1 40.234 (44.405) Prec@5 67.578 (69.996)
Epoch: [34][2940/5005] Time 0.194 (0.223) Data 0.051 (0.073) Loss 2.5945 (2.4687) Prec@1 44.922 (44.403) Prec@5 68.359 (69.997)
Epoch: [34][2950/5005] Time 0.195 (0.223) Data 0.047 (0.073) Loss 2.7036 (2.4685) Prec@1 35.938 (44.404) Prec@5 66.406 (69.999)
Epoch: [34][2960/5005] Time 0.197 (0.223) Data 0.042 (0.073) Loss 2.4144 (2.4682) Prec@1 45.703 (44.408) Prec@5 70.312 (70.004)
Epoch: [34][2970/5005] Time 0.197 (0.223) Data 0.051 (0.074) Loss 2.5185 (2.4680) Prec@1 39.844 (44.411) Prec@5 70.312 (70.007)
Epoch: [34][2980/5005] Time 0.628 (0.224) Data 0.541 (0.074) Loss 2.6008 (2.4680) Prec@1 43.359 (44.413) Prec@5 66.406 (70.006)
Epoch: [34][2990/5005] Time 0.208 (0.224) Data 0.045 (0.074) Loss 2.4170 (2.4680) Prec@1 41.797 (44.413) Prec@5 68.359 (70.010)
Epoch: [34][3000/5005] Time 0.199 (0.223) Data 0.049 (0.074) Loss 2.3905 (2.4676) Prec@1 42.578 (44.415) Prec@5 72.266 (70.015)
Epoch: [34][3010/5005] Time 0.376 (0.223) Data 0.291 (0.074) Loss 2.4704 (2.4677) Prec@1 41.406 (44.414) Prec@5 69.922 (70.012)
Epoch: [34][3020/5005] Time 0.207 (0.223) Data 0.045 (0.074) Loss 2.3478 (2.4679) Prec@1 43.359 (44.412) Prec@5 71.484 (70.010)
Epoch: [34][3030/5005] Time 0.208 (0.223) Data 0.127 (0.074) Loss 2.5468 (2.4679) Prec@1 48.828 (44.416) Prec@5 69.531 (70.011)
Epoch: [34][3040/5005] Time 0.209 (0.223) Data 0.044 (0.074) Loss 2.4699 (2.4677) Prec@1 44.531 (44.423) Prec@5 71.094 (70.012)
Epoch: [34][3050/5005] Time 0.209 (0.223) Data 0.047 (0.074) Loss 2.4988 (2.4676) Prec@1 40.625 (44.425) Prec@5 68.750 (70.012)
Epoch: [34][3060/5005] Time 0.209 (0.223) Data 0.043 (0.074) Loss 2.3199 (2.4674) Prec@1 50.391 (44.430) Prec@5 73.438 (70.017)
Epoch: [34][3070/5005] Time 0.339 (0.223) Data 0.258 (0.074) Loss 2.4951 (2.4675) Prec@1 45.312 (44.432) Prec@5 70.312 (70.018)
Epoch: [34][3080/5005] Time 0.193 (0.224) Data 0.058 (0.074) Loss 2.4180 (2.4676) Prec@1 41.797 (44.429) Prec@5 74.219 (70.017)
Epoch: [34][3090/5005] Time 0.206 (0.224) Data 0.044 (0.074) Loss 2.6338 (2.4675) Prec@1 39.453 (44.429) Prec@5 67.969 (70.019)
Epoch: [34][3100/5005] Time 0.194 (0.223) Data 0.060 (0.074) Loss 2.4522 (2.4676) Prec@1 43.750 (44.424) Prec@5 69.141 (70.018)
Epoch: [34][3110/5005] Time 0.199 (0.224) Data 0.060 (0.074) Loss 2.3147 (2.4674) Prec@1 46.484 (44.430) Prec@5 71.875 (70.023)
Epoch: [34][3120/5005] Time 0.206 (0.223) Data 0.045 (0.074) Loss 2.4605 (2.4673) Prec@1 43.750 (44.428) Prec@5 70.703 (70.022)
Epoch: [34][3130/5005] Time 0.268 (0.224) Data 0.186 (0.074) Loss 2.5308 (2.4671) Prec@1 41.797 (44.432) Prec@5 70.703 (70.026)
Epoch: [34][3140/5005] Time 0.204 (0.223) Data 0.103 (0.074) Loss 2.3381 (2.4669) Prec@1 50.391 (44.436) Prec@5 71.875 (70.029)
Epoch: [34][3150/5005] Time 0.197 (0.223) Data 0.095 (0.074) Loss 2.4145 (2.4667) Prec@1 48.438 (44.442) Prec@5 71.875 (70.033)
Epoch: [34][3160/5005] Time 0.206 (0.223) Data 0.041 (0.074) Loss 2.3538 (2.4666) Prec@1 47.656 (44.447) Prec@5 71.484 (70.033)
Epoch: [34][3170/5005] Time 0.205 (0.223) Data 0.043 (0.074) Loss 2.5024 (2.4667) Prec@1 44.141 (44.447) Prec@5 70.312 (70.032)
Epoch: [34][3180/5005] Time 0.293 (0.223) Data 0.207 (0.074) Loss 2.2517 (2.4667) Prec@1 49.219 (44.448) Prec@5 73.438 (70.030)
Epoch: [34][3190/5005] Time 0.201 (0.223) Data 0.048 (0.074) Loss 2.5280 (2.4667) Prec@1 42.969 (44.448) Prec@5 67.969 (70.030)
Epoch: [34][3200/5005] Time 0.198 (0.223) Data 0.048 (0.074) Loss 2.5136 (2.4666) Prec@1 41.406 (44.450) Prec@5 73.047 (70.031)
Epoch: [34][3210/5005] Time 0.202 (0.224) Data 0.040 (0.075) Loss 2.6002 (2.4666) Prec@1 42.188 (44.450) Prec@5 67.188 (70.033)
Epoch: [34][3220/5005] Time 0.197 (0.224) Data 0.050 (0.075) Loss 2.5211 (2.4665) Prec@1 46.094 (44.453) Prec@5 67.969 (70.035)
Epoch: [34][3230/5005] Time 0.197 (0.224) Data 0.043 (0.075) Loss 2.4552 (2.4664) Prec@1 43.750 (44.460) Prec@5 70.312 (70.039)
Epoch: [34][3240/5005] Time 0.193 (0.224) Data 0.042 (0.074) Loss 2.5798 (2.4666) Prec@1 41.016 (44.455) Prec@5 68.359 (70.033)
Epoch: [34][3250/5005] Time 0.195 (0.224) Data 0.047 (0.075) Loss 2.3454 (2.4667) Prec@1 46.875 (44.454) Prec@5 74.219 (70.035)
Epoch: [34][3260/5005] Time 0.210 (0.224) Data 0.049 (0.075) Loss 2.4983 (2.4668) Prec@1 43.359 (44.450) Prec@5 69.141 (70.035)
Epoch: [34][3270/5005] Time 0.205 (0.224) Data 0.048 (0.075) Loss 2.4816 (2.4666) Prec@1 42.188 (44.450) Prec@5 69.141 (70.037)
Epoch: [34][3280/5005] Time 0.211 (0.224) Data 0.047 (0.075) Loss 2.3282 (2.4666) Prec@1 46.484 (44.447) Prec@5 73.438 (70.038)
Epoch: [34][3290/5005] Time 0.214 (0.224) Data 0.045 (0.075) Loss 2.4320 (2.4666) Prec@1 45.312 (44.448) Prec@5 68.750 (70.039)
Epoch: [34][3300/5005] Time 0.200 (0.224) Data 0.052 (0.075) Loss 2.4878 (2.4665) Prec@1 42.188 (44.452) Prec@5 66.797 (70.037)
Epoch: [34][3310/5005] Time 0.193 (0.224) Data 0.060 (0.075) Loss 2.4136 (2.4666) Prec@1 45.312 (44.451) Prec@5 71.484 (70.035)
Epoch: [34][3320/5005] Time 0.204 (0.224) Data 0.047 (0.075) Loss 2.3950 (2.4665) Prec@1 45.703 (44.451) Prec@5 68.359 (70.036)
Epoch: [34][3330/5005] Time 0.222 (0.224) Data 0.133 (0.075) Loss 2.5304 (2.4666) Prec@1 42.578 (44.447) Prec@5 67.188 (70.032)
Epoch: [34][3340/5005] Time 0.207 (0.224) Data 0.044 (0.075) Loss 2.6418 (2.4666) Prec@1 42.188 (44.445) Prec@5 67.969 (70.033)
Epoch: [34][3350/5005] Time 0.216 (0.224) Data 0.043 (0.075) Loss 2.6548 (2.4665) Prec@1 41.016 (44.443) Prec@5 65.234 (70.037)
Epoch: [34][3360/5005] Time 0.308 (0.224) Data 0.223 (0.075) Loss 2.3722 (2.4666) Prec@1 47.656 (44.441) Prec@5 72.656 (70.038)
Epoch: [34][3370/5005] Time 0.207 (0.224) Data 0.045 (0.075) Loss 2.4768 (2.4667) Prec@1 43.750 (44.442) Prec@5 71.094 (70.034)
Epoch: [34][3380/5005] Time 0.209 (0.224) Data 0.046 (0.075) Loss 2.4721 (2.4665) Prec@1 42.188 (44.442) Prec@5 73.828 (70.037)
Epoch: [34][3390/5005] Time 0.199 (0.224) Data 0.059 (0.075) Loss 2.4119 (2.4667) Prec@1 45.312 (44.435) Prec@5 71.484 (70.034)
Epoch: [34][3400/5005] Time 0.197 (0.224) Data 0.046 (0.075) Loss 2.3749 (2.4667) Prec@1 44.141 (44.436) Prec@5 73.047 (70.037)
Epoch: [34][3410/5005] Time 0.197 (0.224) Data 0.047 (0.075) Loss 2.3928 (2.4665) Prec@1 43.750 (44.437) Prec@5 72.656 (70.041)
Epoch: [34][3420/5005] Time 0.202 (0.224) Data 0.041 (0.075) Loss 2.4573 (2.4664) Prec@1 45.703 (44.437) Prec@5 69.531 (70.043)
Epoch: [34][3430/5005] Time 0.206 (0.224) Data 0.045 (0.075) Loss 2.3231 (2.4664) Prec@1 47.656 (44.434) Prec@5 72.266 (70.044)
Epoch: [34][3440/5005] Time 0.205 (0.224) Data 0.047 (0.075) Loss 2.5542 (2.4663) Prec@1 42.578 (44.432) Prec@5 67.188 (70.044)
Epoch: [34][3450/5005] Time 0.907 (0.224) Data 0.822 (0.075) Loss 2.3741 (2.4662) Prec@1 47.266 (44.434) Prec@5 69.922 (70.043)
Epoch: [34][3460/5005] Time 0.197 (0.224) Data 0.054 (0.075) Loss 2.4135 (2.4664) Prec@1 48.438 (44.432) Prec@5 71.875 (70.042)
Epoch: [34][3470/5005] Time 0.199 (0.224) Data 0.040 (0.075) Loss 2.2289 (2.4662) Prec@1 49.609 (44.433) Prec@5 73.438 (70.043)
Epoch: [34][3480/5005] Time 0.394 (0.224) Data 0.316 (0.075) Loss 2.3691 (2.4660) Prec@1 44.531 (44.434) Prec@5 71.094 (70.046)
Epoch: [34][3490/5005] Time 0.201 (0.224) Data 0.045 (0.075) Loss 2.5999 (2.4661) Prec@1 38.281 (44.430) Prec@5 67.969 (70.043)
Epoch: [34][3500/5005] Time 0.213 (0.224) Data 0.041 (0.075) Loss 2.3155 (2.4661) Prec@1 44.531 (44.430) Prec@5 73.047 (70.043)
Epoch: [34][3510/5005] Time 0.198 (0.224) Data 0.043 (0.075) Loss 2.4509 (2.4660) Prec@1 43.359 (44.428) Prec@5 71.094 (70.044)
Epoch: [34][3520/5005] Time 0.205 (0.224) Data 0.110 (0.075) Loss 2.6396 (2.4661) Prec@1 42.969 (44.429) Prec@5 67.578 (70.043)
Epoch: [34][3530/5005] Time 0.198 (0.224) Data 0.049 (0.075) Loss 2.3777 (2.4660) Prec@1 49.609 (44.433) Prec@5 73.438 (70.047)
Epoch: [34][3540/5005] Time 0.204 (0.224) Data 0.049 (0.075) Loss 2.4783 (2.4658) Prec@1 41.016 (44.436) Prec@5 71.875 (70.049)
Epoch: [34][3550/5005] Time 0.196 (0.224) Data 0.044 (0.075) Loss 2.5878 (2.4656) Prec@1 42.578 (44.434) Prec@5 67.969 (70.051)
Epoch: [34][3560/5005] Time 0.204 (0.224) Data 0.041 (0.075) Loss 2.4859 (2.4655) Prec@1 44.922 (44.439) Prec@5 67.188 (70.054)
Epoch: [34][3570/5005] Time 0.204 (0.224) Data 0.040 (0.075) Loss 2.6560 (2.4657) Prec@1 42.969 (44.436) Prec@5 67.578 (70.050)
Epoch: [34][3580/5005] Time 0.219 (0.224) Data 0.043 (0.075) Loss 2.3101 (2.4656) Prec@1 47.656 (44.440) Prec@5 71.875 (70.052)
Epoch: [34][3590/5005] Time 0.322 (0.224) Data 0.237 (0.075) Loss 2.4826 (2.4653) Prec@1 41.016 (44.447) Prec@5 67.969 (70.056)
Epoch: [34][3600/5005] Time 0.195 (0.224) Data 0.046 (0.076) Loss 2.6010 (2.4651) Prec@1 43.359 (44.449) Prec@5 67.188 (70.057)
Epoch: [34][3610/5005] Time 0.205 (0.224) Data 0.051 (0.075) Loss 2.3553 (2.4651) Prec@1 47.266 (44.448) Prec@5 71.875 (70.057)
Epoch: [34][3620/5005] Time 0.202 (0.224) Data 0.048 (0.075) Loss 2.6527 (2.4649) Prec@1 38.281 (44.457) Prec@5 65.625 (70.061)
Epoch: [34][3630/5005] Time 0.259 (0.224) Data 0.169 (0.075) Loss 2.6310 (2.4648) Prec@1 40.625 (44.459) Prec@5 66.406 (70.061)
Epoch: [34][3640/5005] Time 0.207 (0.224) Data 0.047 (0.075) Loss 2.3759 (2.4648) Prec@1 44.141 (44.461) Prec@5 69.922 (70.060)
Epoch: [34][3650/5005] Time 0.218 (0.224) Data 0.050 (0.075) Loss 2.2900 (2.4648) Prec@1 46.094 (44.459) Prec@5 73.828 (70.064)
Epoch: [34][3660/5005] Time 0.206 (0.224) Data 0.094 (0.075) Loss 2.7175 (2.4646) Prec@1 41.406 (44.461) Prec@5 64.844 (70.067)
Epoch: [34][3670/5005] Time 0.202 (0.224) Data 0.045 (0.075) Loss 2.5307 (2.4647) Prec@1 44.141 (44.461) Prec@5 67.188 (70.066)
Epoch: [34][3680/5005] Time 0.199 (0.224) Data 0.053 (0.076) Loss 2.2866 (2.4646) Prec@1 44.531 (44.461) Prec@5 73.828 (70.068)
Epoch: [34][3690/5005] Time 0.200 (0.224) Data 0.044 (0.076) Loss 2.3024 (2.4645) Prec@1 42.188 (44.460) Prec@5 73.828 (70.070)
Epoch: [34][3700/5005] Time 0.198 (0.224) Data 0.068 (0.076) Loss 2.5580 (2.4645) Prec@1 43.359 (44.456) Prec@5 69.922 (70.071)
Epoch: [34][3710/5005] Time 0.207 (0.224) Data 0.041 (0.076) Loss 2.4000 (2.4645) Prec@1 46.484 (44.457) Prec@5 72.266 (70.072)
Epoch: [34][3720/5005] Time 0.269 (0.224) Data 0.189 (0.076) Loss 2.5427 (2.4643) Prec@1 44.922 (44.459) Prec@5 69.922 (70.073)
Epoch: [34][3730/5005] Time 0.216 (0.224) Data 0.126 (0.076) Loss 2.3828 (2.4641) Prec@1 47.656 (44.462) Prec@5 73.438 (70.075)
Epoch: [34][3740/5005] Time 0.200 (0.224) Data 0.046 (0.076) Loss 2.3730 (2.4638) Prec@1 48.828 (44.467) Prec@5 69.141 (70.079)
Epoch: [34][3750/5005] Time 0.203 (0.224) Data 0.044 (0.076) Loss 2.2530 (2.4639) Prec@1 46.875 (44.466) Prec@5 75.781 (70.077)
Epoch: [34][3760/5005] Time 0.207 (0.224) Data 0.048 (0.076) Loss 2.5596 (2.4640) Prec@1 43.750 (44.466) Prec@5 67.578 (70.077)
Epoch: [34][3770/5005] Time 0.204 (0.224) Data 0.043 (0.076) Loss 2.5322 (2.4639) Prec@1 44.922 (44.468) Prec@5 69.922 (70.079)
Epoch: [34][3780/5005] Time 0.195 (0.224) Data 0.093 (0.076) Loss 2.4366 (2.4638) Prec@1 41.797 (44.469) Prec@5 69.922 (70.080)
Epoch: [34][3790/5005] Time 0.204 (0.224) Data 0.051 (0.076) Loss 2.6257 (2.4638) Prec@1 42.578 (44.465) Prec@5 68.359 (70.080)
Epoch: [34][3800/5005] Time 0.196 (0.224) Data 0.043 (0.076) Loss 2.2798 (2.4640) Prec@1 46.484 (44.463) Prec@5 72.656 (70.079)
Epoch: [34][3810/5005] Time 0.206 (0.224) Data 0.046 (0.076) Loss 2.4057 (2.4639) Prec@1 47.266 (44.460) Prec@5 71.484 (70.081)
Epoch: [34][3820/5005] Time 0.191 (0.224) Data 0.047 (0.076) Loss 2.4403 (2.4638) Prec@1 46.875 (44.464) Prec@5 69.531 (70.083)
Epoch: [34][3830/5005] Time 0.204 (0.224) Data 0.043 (0.076) Loss 2.4741 (2.4636) Prec@1 41.016 (44.469) Prec@5 70.312 (70.086)
Epoch: [34][3840/5005] Time 0.204 (0.224) Data 0.049 (0.076) Loss 2.6113 (2.4638) Prec@1 40.625 (44.465) Prec@5 68.750 (70.081)
Epoch: [34][3850/5005] Time 0.204 (0.224) Data 0.045 (0.076) Loss 2.5664 (2.4637) Prec@1 42.188 (44.464) Prec@5 66.797 (70.083)
Epoch: [34][3860/5005] Time 0.197 (0.224) Data 0.045 (0.076) Loss 2.2391 (2.4638) Prec@1 49.219 (44.463) Prec@5 74.219 (70.083)
Epoch: [34][3870/5005] Time 0.273 (0.224) Data 0.196 (0.076) Loss 2.4736 (2.4638) Prec@1 43.750 (44.462) Prec@5 68.359 (70.081)
Epoch: [34][3880/5005] Time 0.207 (0.224) Data 0.044 (0.076) Loss 2.3623 (2.4638) Prec@1 47.266 (44.461) Prec@5 73.438 (70.080)
Epoch: [34][3890/5005] Time 0.207 (0.224) Data 0.048 (0.076) Loss 2.6016 (2.4637) Prec@1 46.094 (44.465) Prec@5 68.750 (70.083)
Epoch: [34][3900/5005] Time 0.197 (0.224) Data 0.054 (0.076) Loss 2.7164 (2.4638) Prec@1 42.188 (44.466) Prec@5 67.188 (70.080)
Epoch: [34][3910/5005] Time 0.425 (0.224) Data 0.342 (0.076) Loss 2.6019 (2.4639) Prec@1 39.844 (44.466) Prec@5 71.875 (70.081)
Epoch: [34][3920/5005] Time 0.207 (0.224) Data 0.050 (0.076) Loss 2.4418 (2.4639) Prec@1 43.359 (44.467) Prec@5 72.656 (70.080)
Epoch: [34][3930/5005] Time 0.211 (0.224) Data 0.042 (0.076) Loss 2.4550 (2.4636) Prec@1 44.922 (44.471) Prec@5 71.484 (70.083)
Epoch: [34][3940/5005] Time 0.204 (0.224) Data 0.041 (0.076) Loss 2.5146 (2.4636) Prec@1 45.312 (44.469) Prec@5 70.312 (70.084)
Epoch: [34][3950/5005] Time 0.192 (0.224) Data 0.108 (0.076) Loss 2.3821 (2.4634) Prec@1 44.141 (44.474) Prec@5 72.266 (70.088)
Epoch: [34][3960/5005] Time 0.320 (0.224) Data 0.234 (0.076) Loss 2.4498 (2.4634) Prec@1 44.141 (44.474) Prec@5 70.703 (70.089)
Epoch: [34][3970/5005] Time 0.196 (0.224) Data 0.048 (0.076) Loss 2.3464 (2.4633) Prec@1 47.656 (44.479) Prec@5 73.438 (70.090)
Epoch: [34][3980/5005] Time 0.206 (0.224) Data 0.049 (0.076) Loss 2.2463 (2.4632) Prec@1 41.797 (44.481) Prec@5 75.781 (70.093)
Epoch: [34][3990/5005] Time 0.320 (0.224) Data 0.227 (0.076) Loss 2.4695 (2.4632) Prec@1 44.141 (44.479) Prec@5 71.484 (70.094)
Epoch: [34][4000/5005] Time 0.207 (0.224) Data 0.047 (0.076) Loss 2.2847 (2.4632) Prec@1 48.047 (44.480) Prec@5 71.484 (70.093)
Epoch: [34][4010/5005] Time 0.202 (0.224) Data 0.058 (0.076) Loss 2.3651 (2.4630) Prec@1 44.531 (44.482) Prec@5 72.266 (70.099)
Epoch: [34][4020/5005] Time 0.203 (0.224) Data 0.045 (0.076) Loss 2.6462 (2.4630) Prec@1 41.406 (44.482) Prec@5 64.062 (70.097)
Epoch: [34][4030/5005] Time 0.194 (0.224) Data 0.048 (0.076) Loss 2.7039 (2.4632) Prec@1 42.578 (44.479) Prec@5 65.234 (70.093)
Epoch: [34][4040/5005] Time 0.312 (0.224) Data 0.225 (0.076) Loss 2.5924 (2.4634) Prec@1 44.141 (44.475) Prec@5 63.281 (70.090)
Epoch: [34][4050/5005] Time 0.213 (0.224) Data 0.042 (0.076) Loss 2.6387 (2.4633) Prec@1 39.844 (44.480) Prec@5 67.578 (70.092)
Epoch: [34][4060/5005] Time 0.203 (0.224) Data 0.051 (0.077) Loss 2.4006 (2.4631) Prec@1 46.094 (44.479) Prec@5 70.312 (70.096)
Epoch: [34][4070/5005] Time 0.207 (0.224) Data 0.046 (0.077) Loss 2.6064 (2.4630) Prec@1 41.406 (44.479) Prec@5 69.922 (70.100)
Epoch: [34][4080/5005] Time 0.202 (0.224) Data 0.047 (0.077) Loss 2.3298 (2.4630) Prec@1 46.484 (44.479) Prec@5 71.875 (70.100)
Epoch: [34][4090/5005] Time 0.209 (0.224) Data 0.047 (0.077) Loss 2.5678 (2.4630) Prec@1 42.188 (44.477) Prec@5 68.359 (70.101)
Epoch: [34][4100/5005] Time 0.197 (0.224) Data 0.042 (0.077) Loss 2.5159 (2.4630) Prec@1 44.141 (44.477) Prec@5 67.188 (70.100)
Epoch: [34][4110/5005] Time 0.203 (0.224) Data 0.042 (0.077) Loss 2.6353 (2.4630) Prec@1 43.359 (44.478) Prec@5 66.016 (70.100)
Epoch: [34][4120/5005] Time 0.206 (0.224) Data 0.047 (0.077) Loss 2.5998 (2.4628) Prec@1 46.094 (44.481) Prec@5 67.578 (70.103)
Epoch: [34][4130/5005] Time 0.200 (0.224) Data 0.051 (0.077) Loss 2.7048 (2.4628) Prec@1 38.281 (44.482) Prec@5 65.625 (70.103)
Epoch: [34][4140/5005] Time 0.200 (0.224) Data 0.057 (0.077) Loss 2.5273 (2.4628) Prec@1 39.844 (44.480) Prec@5 71.094 (70.103)
Epoch: [34][4150/5005] Time 0.192 (0.224) Data 0.101 (0.077) Loss 2.7107 (2.4628) Prec@1 41.016 (44.480) Prec@5 67.969 (70.104)
Epoch: [34][4160/5005] Time 0.440 (0.224) Data 0.358 (0.077) Loss 2.4320 (2.4629) Prec@1 42.188 (44.477) Prec@5 69.922 (70.103)
Epoch: [34][4170/5005] Time 0.199 (0.224) Data 0.048 (0.077) Loss 2.4089 (2.4628) Prec@1 41.406 (44.479) Prec@5 68.750 (70.105)
Epoch: [34][4180/5005] Time 0.201 (0.224) Data 0.052 (0.077) Loss 2.3240 (2.4627) Prec@1 47.266 (44.480) Prec@5 73.047 (70.107)
Epoch: [34][4190/5005] Time 0.199 (0.224) Data 0.069 (0.077) Loss 2.3142 (2.4626) Prec@1 44.141 (44.482) Prec@5 70.312 (70.109)
Epoch: [34][4200/5005] Time 0.204 (0.224) Data 0.047 (0.077) Loss 2.4297 (2.4626) Prec@1 43.359 (44.481) Prec@5 69.922 (70.110)
Epoch: [34][4210/5005] Time 0.201 (0.224) Data 0.055 (0.077) Loss 2.2587 (2.4625) Prec@1 48.438 (44.483) Prec@5 73.047 (70.111)
Epoch: [34][4220/5005] Time 0.196 (0.224) Data 0.046 (0.077) Loss 2.6474 (2.4627) Prec@1 40.625 (44.480) Prec@5 65.625 (70.108)
Epoch: [34][4230/5005] Time 0.206 (0.224) Data 0.042 (0.077) Loss 2.3977 (2.4626) Prec@1 46.094 (44.481) Prec@5 69.922 (70.110)
Epoch: [34][4240/5005] Time 0.190 (0.224) Data 0.057 (0.077) Loss 2.2874 (2.4626) Prec@1 42.578 (44.478) Prec@5 74.219 (70.109)
Epoch: [34][4250/5005] Time 0.313 (0.224) Data 0.223 (0.077) Loss 2.3282 (2.4625) Prec@1 44.922 (44.482) Prec@5 73.828 (70.111)
Epoch: [34][4260/5005] Time 0.210 (0.224) Data 0.041 (0.077) Loss 2.4155 (2.4625) Prec@1 42.969 (44.482) Prec@5 71.094 (70.112)
Epoch: [34][4270/5005] Time 0.190 (0.224) Data 0.051 (0.077) Loss 2.7336 (2.4626) Prec@1 39.844 (44.478) Prec@5 67.578 (70.109)
Epoch: [34][4280/5005] Time 0.212 (0.224) Data 0.050 (0.077) Loss 2.5593 (2.4625) Prec@1 39.453 (44.478) Prec@5 67.969 (70.110)
Epoch: [34][4290/5005] Time 0.211 (0.224) Data 0.045 (0.077) Loss 2.7820 (2.4625) Prec@1 40.625 (44.479) Prec@5 64.844 (70.109)
Epoch: [34][4300/5005] Time 0.203 (0.224) Data 0.094 (0.077) Loss 2.3482 (2.4624) Prec@1 44.141 (44.481) Prec@5 70.703 (70.112)
Epoch: [34][4310/5005] Time 0.195 (0.224) Data 0.050 (0.077) Loss 2.4208 (2.4624) Prec@1 43.750 (44.481) Prec@5 71.094 (70.111)
Epoch: [34][4320/5005] Time 0.192 (0.224) Data 0.062 (0.077) Loss 2.4565 (2.4623) Prec@1 46.484 (44.484) Prec@5 69.922 (70.112)
Epoch: [34][4330/5005] Time 0.191 (0.224) Data 0.058 (0.077) Loss 2.3652 (2.4622) Prec@1 40.625 (44.484) Prec@5 72.656 (70.112)
Epoch: [34][4340/5005] Time 0.198 (0.224) Data 0.101 (0.077) Loss 2.4776 (2.4622) Prec@1 45.703 (44.482) Prec@5 67.969 (70.112)
Epoch: [34][4350/5005] Time 0.195 (0.224) Data 0.044 (0.077) Loss 2.5545 (2.4621) Prec@1 41.406 (44.483) Prec@5 69.922 (70.113)
Epoch: [34][4360/5005] Time 0.300 (0.224) Data 0.216 (0.077) Loss 2.2776 (2.4620) Prec@1 45.703 (44.481) Prec@5 73.047 (70.115)
Epoch: [34][4370/5005] Time 0.196 (0.224) Data 0.052 (0.077) Loss 2.5329 (2.4620) Prec@1 40.234 (44.479) Prec@5 68.750 (70.115)
Epoch: [34][4380/5005] Time 0.204 (0.224) Data 0.093 (0.077) Loss 2.5338 (2.4620) Prec@1 38.672 (44.477) Prec@5 70.312 (70.116)
Epoch: [34][4390/5005] Time 0.207 (0.224) Data 0.061 (0.077) Loss 2.5609 (2.4619) Prec@1 44.141 (44.482) Prec@5 66.406 (70.119)
Epoch: [34][4400/5005] Time 0.204 (0.224) Data 0.044 (0.077) Loss 2.4085 (2.4619) Prec@1 44.922 (44.481) Prec@5 70.312 (70.117)
Epoch: [34][4410/5005] Time 0.210 (0.224) Data 0.046 (0.077) Loss 2.5272 (2.4618) Prec@1 44.141 (44.482) Prec@5 67.578 (70.119)
Epoch: [34][4420/5005] Time 0.194 (0.224) Data 0.094 (0.077) Loss 2.1575 (2.4616) Prec@1 51.562 (44.488) Prec@5 75.000 (70.121)
Epoch: [34][4430/5005] Time 0.197 (0.224) Data 0.086 (0.077) Loss 2.5263 (2.4614) Prec@1 42.188 (44.492) Prec@5 68.359 (70.121)
Epoch: [34][4440/5005] Time 0.208 (0.224) Data 0.042 (0.077) Loss 2.5418 (2.4613) Prec@1 42.188 (44.494) Prec@5 68.750 (70.123)
Epoch: [34][4450/5005] Time 0.207 (0.224) Data 0.040 (0.077) Loss 2.1698 (2.4612) Prec@1 49.219 (44.493) Prec@5 73.828 (70.125)
Epoch: [34][4460/5005] Time 0.197 (0.224) Data 0.083 (0.077) Loss 2.4873 (2.4610) Prec@1 40.234 (44.496) Prec@5 70.703 (70.127)
Epoch: [34][4470/5005] Time 0.392 (0.224) Data 0.309 (0.077) Loss 2.4469 (2.4611) Prec@1 41.016 (44.496) Prec@5 71.484 (70.127)
Epoch: [34][4480/5005] Time 0.277 (0.224) Data 0.190 (0.077) Loss 2.2664 (2.4612) Prec@1 45.312 (44.496) Prec@5 69.141 (70.125)
Epoch: [34][4490/5005] Time 0.200 (0.224) Data 0.049 (0.077) Loss 2.3907 (2.4613) Prec@1 45.312 (44.492) Prec@5 71.484 (70.122)
Epoch: [34][4500/5005] Time 0.202 (0.224) Data 0.046 (0.078) Loss 2.4536 (2.4613) Prec@1 45.312 (44.494) Prec@5 71.094 (70.121)
Epoch: [34][4510/5005] Time 0.200 (0.224) Data 0.059 (0.078) Loss 2.2365 (2.4613) Prec@1 49.609 (44.493) Prec@5 72.656 (70.120)
Epoch: [34][4520/5005] Time 0.207 (0.224) Data 0.048 (0.078) Loss 2.4227 (2.4611) Prec@1 44.141 (44.494) Prec@5 76.172 (70.126)
Epoch: [34][4530/5005] Time 0.202 (0.224) Data 0.045 (0.078) Loss 2.3690 (2.4610) Prec@1 45.703 (44.499) Prec@5 69.922 (70.127)
Epoch: [34][4540/5005] Time 0.200 (0.224) Data 0.049 (0.078) Loss 2.6808 (2.4612) Prec@1 42.188 (44.494) Prec@5 66.406 (70.126)
Epoch: [34][4550/5005] Time 0.203 (0.224) Data 0.061 (0.078) Loss 2.4333 (2.4611) Prec@1 48.047 (44.497) Prec@5 71.875 (70.127)
Epoch: [34][4560/5005] Time 0.206 (0.224) Data 0.048 (0.078) Loss 2.4732 (2.4611) Prec@1 42.969 (44.499) Prec@5 69.531 (70.128)
Epoch: [34][4570/5005] Time 0.211 (0.224) Data 0.042 (0.078) Loss 2.5516 (2.4609) Prec@1 43.359 (44.502) Prec@5 68.750 (70.128)
Epoch: [34][4580/5005] Time 0.561 (0.224) Data 0.468 (0.078) Loss 2.4950 (2.4608) Prec@1 42.188 (44.503) Prec@5 69.141 (70.130)
Epoch: [34][4590/5005] Time 0.208 (0.224) Data 0.059 (0.078) Loss 2.1943 (2.4607) Prec@1 49.609 (44.504) Prec@5 75.781 (70.131)
Epoch: [34][4600/5005] Time 0.205 (0.224) Data 0.042 (0.078) Loss 2.2482 (2.4607) Prec@1 47.656 (44.504) Prec@5 73.047 (70.130)
Epoch: [34][4610/5005] Time 0.199 (0.224) Data 0.060 (0.078) Loss 2.2317 (2.4607) Prec@1 47.266 (44.506) Prec@5 73.438 (70.130)
Epoch: [34][4620/5005] Time 0.288 (0.224) Data 0.210 (0.078) Loss 2.2519 (2.4606) Prec@1 52.344 (44.510) Prec@5 73.047 (70.131)
Epoch: [34][4630/5005] Time 0.202 (0.224) Data 0.045 (0.078) Loss 2.2425 (2.4604) Prec@1 46.484 (44.513) Prec@5 76.172 (70.136)
Epoch: [34][4640/5005] Time 0.328 (0.224) Data 0.245 (0.078) Loss 2.5423 (2.4604) Prec@1 45.312 (44.514) Prec@5 69.141 (70.138)
Epoch: [34][4650/5005] Time 0.188 (0.224) Data 0.058 (0.078) Loss 2.4740 (2.4604) Prec@1 44.141 (44.516) Prec@5 69.531 (70.138)
Epoch: [34][4660/5005] Time 0.201 (0.224) Data 0.050 (0.078) Loss 2.6664 (2.4604) Prec@1 42.188 (44.518) Prec@5 67.578 (70.140)
Epoch: [34][4670/5005] Time 0.248 (0.224) Data 0.162 (0.078) Loss 2.2443 (2.4602) Prec@1 51.172 (44.523) Prec@5 71.094 (70.143)
Epoch: [34][4680/5005] Time 0.204 (0.224) Data 0.041 (0.078) Loss 2.3147 (2.4601) Prec@1 46.094 (44.523) Prec@5 74.219 (70.144)
Epoch: [34][4690/5005] Time 0.209 (0.224) Data 0.058 (0.078) Loss 2.5418 (2.4601) Prec@1 38.281 (44.522) Prec@5 66.797 (70.148)
Epoch: [34][4700/5005] Time 0.202 (0.224) Data 0.048 (0.078) Loss 2.2894 (2.4600) Prec@1 45.312 (44.524) Prec@5 71.094 (70.149)
Epoch: [34][4710/5005] Time 0.199 (0.224) Data 0.084 (0.078) Loss 2.3169 (2.4597) Prec@1 46.875 (44.529) Prec@5 72.266 (70.154)
Epoch: [34][4720/5005] Time 0.202 (0.224) Data 0.054 (0.078) Loss 2.2892 (2.4597) Prec@1 48.047 (44.531) Prec@5 73.828 (70.157)
Epoch: [34][4730/5005] Time 0.208 (0.224) Data 0.049 (0.078) Loss 2.3997 (2.4598) Prec@1 43.359 (44.527) Prec@5 68.750 (70.155)
Epoch: [34][4740/5005] Time 0.242 (0.224) Data 0.156 (0.078) Loss 2.3814 (2.4597) Prec@1 46.094 (44.528) Prec@5 73.828 (70.156)
Epoch: [34][4750/5005] Time 0.206 (0.224) Data 0.045 (0.078) Loss 2.4616 (2.4597) Prec@1 44.922 (44.528) Prec@5 70.312 (70.156)
Epoch: [34][4760/5005] Time 0.612 (0.224) Data 0.532 (0.078) Loss 2.6895 (2.4595) Prec@1 37.891 (44.530) Prec@5 67.969 (70.159)
Epoch: [34][4770/5005] Time 0.194 (0.224) Data 0.042 (0.078) Loss 2.3752 (2.4594) Prec@1 45.312 (44.530) Prec@5 71.875 (70.161)
Epoch: [34][4780/5005] Time 0.208 (0.224) Data 0.045 (0.078) Loss 2.4887 (2.4594) Prec@1 43.359 (44.535) Prec@5 69.922 (70.160)
Epoch: [34][4790/5005] Time 0.200 (0.224) Data 0.045 (0.078) Loss 2.8017 (2.4594) Prec@1 41.016 (44.535) Prec@5 64.062 (70.160)
Epoch: [34][4800/5005] Time 0.197 (0.224) Data 0.047 (0.078) Loss 2.5445 (2.4594) Prec@1 44.141 (44.537) Prec@5 67.969 (70.160)
Epoch: [34][4810/5005] Time 0.473 (0.224) Data 0.390 (0.078) Loss 2.5674 (2.4593) Prec@1 39.453 (44.538) Prec@5 68.750 (70.159)
Epoch: [34][4820/5005] Time 0.217 (0.224) Data 0.045 (0.078) Loss 2.5870 (2.4591) Prec@1 41.797 (44.543) Prec@5 66.797 (70.161)
Epoch: [34][4830/5005] Time 0.202 (0.224) Data 0.041 (0.078) Loss 2.4285 (2.4589) Prec@1 45.312 (44.548) Prec@5 68.750 (70.163)
Epoch: [34][4840/5005] Time 0.200 (0.224) Data 0.050 (0.078) Loss 2.2379 (2.4590) Prec@1 50.000 (44.549) Prec@5 73.828 (70.163)
Epoch: [34][4850/5005] Time 0.196 (0.224) Data 0.045 (0.078) Loss 2.5513 (2.4591) Prec@1 40.625 (44.548) Prec@5 68.750 (70.161)
Epoch: [34][4860/5005] Time 0.219 (0.224) Data 0.047 (0.078) Loss 2.4434 (2.4590) Prec@1 45.703 (44.551) Prec@5 70.703 (70.161)
Epoch: [34][4870/5005] Time 0.212 (0.224) Data 0.050 (0.078) Loss 2.3465 (2.4590) Prec@1 49.219 (44.553) Prec@5 69.922 (70.158)
Epoch: [34][4880/5005] Time 0.396 (0.224) Data 0.303 (0.078) Loss 2.2868 (2.4589) Prec@1 50.391 (44.555) Prec@5 69.922 (70.158)
Epoch: [34][4890/5005] Time 0.192 (0.224) Data 0.048 (0.078) Loss 2.5637 (2.4588) Prec@1 42.969 (44.555) Prec@5 67.578 (70.161)
Epoch: [34][4900/5005] Time 0.203 (0.224) Data 0.045 (0.078) Loss 2.2799 (2.4587) Prec@1 46.875 (44.558) Prec@5 71.094 (70.162)
Epoch: [34][4910/5005] Time 0.343 (0.224) Data 0.262 (0.078) Loss 2.4825 (2.4585) Prec@1 43.750 (44.562) Prec@5 69.141 (70.165)
Epoch: [34][4920/5005] Time 0.195 (0.224) Data 0.045 (0.078) Loss 2.3787 (2.4585) Prec@1 45.312 (44.561) Prec@5 69.922 (70.165)
Epoch: [34][4930/5005] Time 0.205 (0.224) Data 0.093 (0.078) Loss 2.5212 (2.4584) Prec@1 42.188 (44.560) Prec@5 72.266 (70.167)
Epoch: [34][4940/5005] Time 0.201 (0.224) Data 0.047 (0.078) Loss 2.3641 (2.4584) Prec@1 47.266 (44.562) Prec@5 70.703 (70.167)
Epoch: [34][4950/5005] Time 0.205 (0.224) Data 0.043 (0.078) Loss 2.2928 (2.4585) Prec@1 44.531 (44.559) Prec@5 75.391 (70.168)
Epoch: [34][4960/5005] Time 0.203 (0.224) Data 0.041 (0.078) Loss 2.4848 (2.4584) Prec@1 44.141 (44.559) Prec@5 71.094 (70.169)
Epoch: [34][4970/5005] Time 0.195 (0.224) Data 0.098 (0.078) Loss 2.5753 (2.4583) Prec@1 40.234 (44.560) Prec@5 71.094 (70.169)
Epoch: [34][4980/5005] Time 0.201 (0.224) Data 0.041 (0.078) Loss 2.5127 (2.4582) Prec@1 47.266 (44.564) Prec@5 70.312 (70.173)
Epoch: [34][4990/5005] Time 0.212 (0.224) Data 0.024 (0.078) Loss 2.5881 (2.4582) Prec@1 37.500 (44.564) Prec@5 66.016 (70.173)
Epoch: [34][5000/5005] Time 0.210 (0.224) Data 0.025 (0.078) Loss 2.4811 (2.4582) Prec@1 39.844 (44.562) Prec@5 71.484 (70.175)
Test: [0/196] Time 2.347 (2.347) Loss 2.5126 (2.5126) Prec@1 47.266 (47.266) Prec@5 69.922 (69.922)
Test: [10/196] Time 0.047 (0.401) Loss 2.5453 (2.6584) Prec@1 47.656 (42.720) Prec@5 67.578 (66.939)
Test: [20/196] Time 0.044 (0.296) Loss 2.5366 (2.6516) Prec@1 46.484 (42.653) Prec@5 69.531 (67.206)
Test: [30/196] Time 0.043 (0.269) Loss 2.5582 (2.6511) Prec@1 41.797 (42.692) Prec@5 67.969 (66.998)
Test: [40/196] Time 0.833 (0.267) Loss 2.3969 (2.6439) Prec@1 50.391 (42.959) Prec@5 73.828 (67.207)
Test: [50/196] Time 0.046 (0.262) Loss 2.7084 (2.6451) Prec@1 45.312 (42.892) Prec@5 71.094 (67.417)
Test: [60/196] Time 0.042 (0.251) Loss 2.5925 (2.6311) Prec@1 44.922 (43.225) Prec@5 67.188 (67.572)
Test: [70/196] Time 0.272 (0.243) Loss 2.5697 (2.6254) Prec@1 43.359 (43.172) Prec@5 68.750 (67.655)
Test: [80/196] Time 0.197 (0.243) Loss 2.4940 (2.6310) Prec@1 49.219 (43.138) Prec@5 73.047 (67.660)
Test: [90/196] Time 0.068 (0.237) Loss 2.6506 (2.6332) Prec@1 46.094 (43.050) Prec@5 66.016 (67.621)
Test: [100/196] Time 1.268 (0.246) Loss 2.7086 (2.6329) Prec@1 41.797 (43.116) Prec@5 67.188 (67.698)
Test: [110/196] Time 0.401 (0.237) Loss 2.7793 (2.6346) Prec@1 41.797 (43.183) Prec@5 64.844 (67.726)
Test: [120/196] Time 0.634 (0.237) Loss 2.4307 (2.6313) Prec@1 44.141 (43.246) Prec@5 74.609 (67.772)
Test: [130/196] Time 0.042 (0.233) Loss 2.3111 (2.6279) Prec@1 47.266 (43.282) Prec@5 74.219 (67.838)
Test: [140/196] Time 0.042 (0.232) Loss 2.4868 (2.6298) Prec@1 47.266 (43.199) Prec@5 68.750 (67.808)
Test: [150/196] Time 0.208 (0.231) Loss 2.2497 (2.6278) Prec@1 47.656 (43.202) Prec@5 77.734 (67.909)
Test: [160/196] Time 0.042 (0.230) Loss 2.5388 (2.6259) Prec@1 50.000 (43.238) Prec@5 67.969 (67.944)
Test: [170/196] Time 0.464 (0.234) Loss 2.4852 (2.6271) Prec@1 44.141 (43.227) Prec@5 69.531 (67.928)
Test: [180/196] Time 0.045 (0.231) Loss 2.8880 (2.6326) Prec@1 39.062 (43.148) Prec@5 64.453 (67.846)
Test: [190/196] Time 0.352 (0.232) Loss 2.8008 (2.6353) Prec@1 41.016 (43.104) Prec@5 63.672 (67.770)
* Prec@1 43.090 Prec@5 67.784
Learning rate: 0.0001
Epoch: [35][0/5005] Time 2.136 (2.136) Data 2.036 (2.036) Loss 2.4962 (2.4962) Prec@1 45.312 (45.312) Prec@5 69.922 (69.922)
Epoch: [35][10/5005] Time 0.199 (0.375) Data 0.044 (0.229) Loss 2.4633 (2.4766) Prec@1 48.828 (43.679) Prec@5 70.312 (69.851)
Epoch: [35][20/5005] Time 0.185 (0.292) Data 0.044 (0.141) Loss 2.6445 (2.5039) Prec@1 44.531 (43.397) Prec@5 68.750 (69.810)
Epoch: [35][30/5005] Time 0.202 (0.262) Data 0.057 (0.110) Loss 2.2908 (2.4609) Prec@1 46.875 (43.826) Prec@5 73.047 (70.464)
Epoch: [35][40/5005] Time 0.184 (0.247) Data 0.067 (0.096) Loss 2.4069 (2.4618) Prec@1 46.094 (44.083) Prec@5 72.656 (70.379)
Epoch: [35][50/5005] Time 0.194 (0.237) Data 0.054 (0.088) Loss 2.3266 (2.4580) Prec@1 42.578 (44.164) Prec@5 73.828 (70.175)
Epoch: [35][60/5005] Time 0.197 (0.231) Data 0.054 (0.082) Loss 2.3679 (2.4619) Prec@1 42.578 (44.096) Prec@5 73.438 (70.178)
Epoch: [35][70/5005] Time 0.191 (0.227) Data 0.045 (0.077) Loss 2.3946 (2.4683) Prec@1 46.094 (44.080) Prec@5 70.703 (70.169)
Epoch: [35][80/5005] Time 0.210 (0.224) Data 0.043 (0.073) Loss 2.3769 (2.4630) Prec@1 45.703 (44.001) Prec@5 73.438 (70.351)
Epoch: [35][90/5005] Time 0.208 (0.224) Data 0.047 (0.071) Loss 2.4612 (2.4610) Prec@1 45.312 (44.205) Prec@5 71.094 (70.355)
Epoch: [35][100/5005] Time 0.193 (0.221) Data 0.048 (0.069) Loss 2.2596 (2.4639) Prec@1 44.141 (44.152) Prec@5 72.656 (70.266)
Epoch: [35][110/5005] Time 0.201 (0.219) Data 0.047 (0.067) Loss 2.4764 (2.4648) Prec@1 45.312 (44.327) Prec@5 70.312 (70.253)
Epoch: [35][120/5005] Time 0.200 (0.217) Data 0.047 (0.066) Loss 2.4743 (2.4650) Prec@1 45.312 (44.425) Prec@5 67.969 (70.225)
Epoch: [35][130/5005] Time 0.199 (0.217) Data 0.045 (0.066) Loss 2.5857 (2.4642) Prec@1 44.531 (44.406) Prec@5 69.922 (70.271)
Epoch: [35][140/5005] Time 0.211 (0.220) Data 0.042 (0.069) Loss 2.5253 (2.4617) Prec@1 41.406 (44.362) Prec@5 71.094 (70.365)
Epoch: [35][150/5005] Time 0.194 (0.219) Data 0.108 (0.069) Loss 2.5910 (2.4619) Prec@1 44.141 (44.392) Prec@5 69.141 (70.390)
Epoch: [35][160/5005] Time 0.189 (0.223) Data 0.049 (0.074) Loss 2.4492 (2.4651) Prec@1 43.750 (44.286) Prec@5 69.141 (70.351)
Epoch: [35][170/5005] Time 0.199 (0.223) Data 0.047 (0.075) Loss 2.5143 (2.4670) Prec@1 42.969 (44.269) Prec@5 68.359 (70.310)
Epoch: [35][180/5005] Time 0.204 (0.225) Data 0.045 (0.075) Loss 2.7248 (2.4683) Prec@1 44.922 (44.290) Prec@5 64.844 (70.284)
Epoch: [35][190/5005] Time 0.212 (0.225) Data 0.058 (0.076) Loss 2.5388 (2.4726) Prec@1 45.312 (44.218) Prec@5 69.141 (70.186)
Epoch: [35][200/5005] Time 0.217 (0.225) Data 0.045 (0.075) Loss 2.7897 (2.4727) Prec@1 33.984 (44.263) Prec@5 64.844 (70.171)
Epoch: [35][210/5005] Time 0.221 (0.226) Data 0.047 (0.074) Loss 2.2408 (2.4730) Prec@1 48.438 (44.294) Prec@5 76.562 (70.177)
Epoch: [35][220/5005] Time 0.211 (0.226) Data 0.048 (0.074) Loss 2.3920 (2.4735) Prec@1 44.141 (44.270) Prec@5 71.484 (70.180)
Epoch: [35][230/5005] Time 0.205 (0.227) Data 0.069 (0.075) Loss 2.5975 (2.4750) Prec@1 43.750 (44.284) Prec@5 67.188 (70.169)
Epoch: [35][240/5005] Time 0.224 (0.227) Data 0.057 (0.076) Loss 2.4196 (2.4756) Prec@1 44.141 (44.228) Prec@5 71.094 (70.150)
Epoch: [35][250/5005] Time 0.213 (0.227) Data 0.047 (0.077) Loss 2.5082 (2.4750) Prec@1 43.359 (44.250) Prec@5 72.656 (70.155)
Epoch: [35][260/5005] Time 0.206 (0.229) Data 0.064 (0.078) Loss 2.2023 (2.4726) Prec@1 47.656 (44.310) Prec@5 74.219 (70.167)
Epoch: [35][270/5005] Time 0.190 (0.228) Data 0.049 (0.077) Loss 2.4654 (2.4726) Prec@1 44.922 (44.301) Prec@5 68.750 (70.134)
Epoch: [35][280/5005] Time 0.360 (0.229) Data 0.273 (0.079) Loss 2.9093 (2.4756) Prec@1 40.234 (44.250) Prec@5 63.281 (70.100)
Epoch: [35][290/5005] Time 0.215 (0.229) Data 0.044 (0.079) Loss 2.4091 (2.4766) Prec@1 45.703 (44.210) Prec@5 67.188 (70.032)
Epoch: [35][300/5005] Time 0.293 (0.229) Data 0.209 (0.080) Loss 2.2336 (2.4756) Prec@1 48.828 (44.230) Prec@5 72.656 (70.059)
Epoch: [35][310/5005] Time 0.200 (0.230) Data 0.050 (0.081) Loss 2.3401 (2.4733) Prec@1 48.438 (44.286) Prec@5 71.484 (70.107)
Epoch: [35][320/5005] Time 0.203 (0.230) Data 0.063 (0.081) Loss 2.6190 (2.4750) Prec@1 39.844 (44.239) Prec@5 66.016 (70.067)
Epoch: [35][330/5005] Time 0.192 (0.231) Data 0.061 (0.081) Loss 2.2806 (2.4743) Prec@1 46.094 (44.214) Prec@5 74.609 (70.076)
Epoch: [35][340/5005] Time 0.274 (0.231) Data 0.193 (0.082) Loss 2.6693 (2.4783) Prec@1 40.625 (44.160) Prec@5 68.359 (70.005)
Epoch: [35][350/5005] Time 0.208 (0.232) Data 0.059 (0.083) Loss 2.6234 (2.4785) Prec@1 41.016 (44.146) Prec@5 67.969 (70.003)
Epoch: [35][360/5005] Time 0.216 (0.231) Data 0.042 (0.082) Loss 2.6158 (2.4792) Prec@1 46.094 (44.138) Prec@5 67.188 (69.985)
Epoch: [35][370/5005] Time 0.202 (0.231) Data 0.041 (0.081) Loss 2.5630 (2.4776) Prec@1 44.141 (44.157) Prec@5 67.969 (69.999)
Epoch: [35][380/5005] Time 0.208 (0.230) Data 0.052 (0.080) Loss 2.6597 (2.4782) Prec@1 42.969 (44.163) Prec@5 67.188 (69.985)
Epoch: [35][390/5005] Time 0.229 (0.230) Data 0.044 (0.079) Loss 2.4700 (2.4789) Prec@1 44.531 (44.135) Prec@5 67.188 (69.968)
Epoch: [35][400/5005] Time 0.214 (0.229) Data 0.041 (0.078) Loss 2.3108 (2.4776) Prec@1 44.141 (44.176) Prec@5 72.266 (69.989)
Epoch: [35][410/5005] Time 0.215 (0.229) Data 0.039 (0.077) Loss 2.2481 (2.4775) Prec@1 46.094 (44.166) Prec@5 74.609 (69.995)
Epoch: [35][420/5005] Time 0.219 (0.229) Data 0.041 (0.076) Loss 2.2281 (2.4761) Prec@1 48.047 (44.199) Prec@5 73.828 (70.004)
Epoch: [35][430/5005] Time 0.209 (0.228) Data 0.041 (0.076) Loss 2.4586 (2.4759) Prec@1 45.312 (44.172) Prec@5 72.266 (70.013)
Epoch: [35][440/5005] Time 0.217 (0.228) Data 0.045 (0.075) Loss 2.3117 (2.4758) Prec@1 52.344 (44.172) Prec@5 72.656 (70.013)
Epoch: [35][450/5005] Time 0.218 (0.228) Data 0.042 (0.074) Loss 2.4293 (2.4767) Prec@1 42.969 (44.144) Prec@5 67.969 (69.975)
Epoch: [35][460/5005] Time 0.211 (0.227) Data 0.040 (0.074) Loss 2.5279 (2.4776) Prec@1 40.625 (44.108) Prec@5 69.922 (69.963)
Epoch: [35][470/5005] Time 0.217 (0.227) Data 0.039 (0.073) Loss 2.4777 (2.4788) Prec@1 41.406 (44.074) Prec@5 68.750 (69.922)
Epoch: [35][480/5005] Time 0.204 (0.227) Data 0.047 (0.073) Loss 2.4165 (2.4782) Prec@1 43.750 (44.089) Prec@5 69.531 (69.924)
Epoch: [35][490/5005] Time 0.219 (0.226) Data 0.039 (0.072) Loss 2.3693 (2.4790) Prec@1 47.656 (44.071) Prec@5 71.875 (69.912)
Epoch: [35][500/5005] Time 0.216 (0.226) Data 0.040 (0.071) Loss 2.6473 (2.4807) Prec@1 43.359 (44.064) Prec@5 66.406 (69.874)
Epoch: [35][510/5005] Time 0.212 (0.226) Data 0.039 (0.071) Loss 2.7470 (2.4816) Prec@1 37.109 (44.050) Prec@5 61.719 (69.852)
Epoch: [35][520/5005] Time 0.214 (0.226) Data 0.042 (0.071) Loss 2.3968 (2.4812) Prec@1 47.656 (44.058) Prec@5 71.875 (69.866)
Epoch: [35][530/5005] Time 0.218 (0.225) Data 0.052 (0.070) Loss 2.2195 (2.4801) Prec@1 50.391 (44.086) Prec@5 72.266 (69.878)
Epoch: [35][540/5005] Time 0.220 (0.225) Data 0.040 (0.070) Loss 2.6054 (2.4804) Prec@1 42.188 (44.067) Prec@5 67.969 (69.873)
Epoch: [35][550/5005] Time 0.206 (0.225) Data 0.046 (0.069) Loss 2.3904 (2.4798) Prec@1 44.141 (44.088) Prec@5 73.828 (69.871)
Epoch: [35][560/5005] Time 0.215 (0.225) Data 0.045 (0.069) Loss 2.5330 (2.4793) Prec@1 42.188 (44.108) Prec@5 69.922 (69.892)
Epoch: [35][570/5005] Time 0.217 (0.225) Data 0.046 (0.068) Loss 2.5168 (2.4804) Prec@1 46.484 (44.099) Prec@5 66.797 (69.866)
Epoch: [35][580/5005] Time 0.217 (0.224) Data 0.041 (0.068) Loss 2.5652 (2.4798) Prec@1 42.969 (44.108) Prec@5 68.750 (69.880)
Epoch: [35][590/5005] Time 0.203 (0.224) Data 0.062 (0.068) Loss 2.5937 (2.4798) Prec@1 44.141 (44.137) Prec@5 66.406 (69.874)
Epoch: [35][600/5005] Time 0.218 (0.224) Data 0.046 (0.067) Loss 2.4290 (2.4816) Prec@1 47.656 (44.107) Prec@5 71.484 (69.871)
Epoch: [35][610/5005] Time 0.210 (0.224) Data 0.059 (0.067) Loss 2.5902 (2.4821) Prec@1 43.750 (44.092) Prec@5 68.750 (69.859)
Epoch: [35][620/5005] Time 0.209 (0.224) Data 0.045 (0.067) Loss 2.5347 (2.4814) Prec@1 46.094 (44.122) Prec@5 70.312 (69.880)
Epoch: [35][630/5005] Time 0.221 (0.223) Data 0.040 (0.067) Loss 2.7499 (2.4818) Prec@1 39.062 (44.122) Prec@5 66.797 (69.871)
Epoch: [35][640/5005] Time 0.196 (0.223) Data 0.047 (0.066) Loss 2.4341 (2.4816) Prec@1 41.016 (44.121) Prec@5 71.094 (69.876)
Epoch: [35][650/5005] Time 0.210 (0.223) Data 0.043 (0.066) Loss 2.6336 (2.4827) Prec@1 42.188 (44.115) Prec@5 70.312 (69.862)
Epoch: [35][660/5005] Time 0.212 (0.223) Data 0.055 (0.066) Loss 2.5412 (2.4818) Prec@1 41.016 (44.135) Prec@5 69.531 (69.882)
Epoch: [35][670/5005] Time 0.202 (0.223) Data 0.058 (0.065) Loss 2.7441 (2.4821) Prec@1 40.234 (44.132) Prec@5 68.359 (69.865)
Epoch: [35][680/5005] Time 0.208 (0.223) Data 0.042 (0.065) Loss 2.3871 (2.4824) Prec@1 44.922 (44.126) Prec@5 71.484 (69.861)
Epoch: [35][690/5005] Time 0.218 (0.222) Data 0.044 (0.065) Loss 2.2332 (2.4821) Prec@1 51.562 (44.120) Prec@5 75.391 (69.869)
Epoch: [35][700/5005] Time 0.215 (0.222) Data 0.042 (0.065) Loss 2.4309 (2.4816) Prec@1 43.359 (44.112) Prec@5 71.094 (69.883)
Epoch: [35][710/5005] Time 0.209 (0.222) Data 0.043 (0.064) Loss 2.2563 (2.4812) Prec@1 49.219 (44.118) Prec@5 73.047 (69.882)
Epoch: [35][720/5005] Time 0.222 (0.222) Data 0.047 (0.064) Loss 2.4276 (2.4803) Prec@1 45.312 (44.128) Prec@5 73.047 (69.896)
Epoch: [35][730/5005] Time 0.210 (0.222) Data 0.049 (0.064) Loss 2.7344 (2.4809) Prec@1 39.453 (44.118) Prec@5 66.016 (69.884)
Epoch: [35][740/5005] Time 0.217 (0.222) Data 0.047 (0.064) Loss 2.5669 (2.4808) Prec@1 45.312 (44.119) Prec@5 71.484 (69.885)
Epoch: [35][750/5005] Time 0.220 (0.221) Data 0.046 (0.064) Loss 2.3138 (2.4806) Prec@1 46.094 (44.130) Prec@5 71.875 (69.889)
Epoch: [35][760/5005] Time 0.212 (0.221) Data 0.041 (0.064) Loss 2.4463 (2.4808) Prec@1 41.406 (44.120) Prec@5 71.875 (69.887)
Epoch: [35][770/5005] Time 0.214 (0.221) Data 0.042 (0.063) Loss 2.4343 (2.4798) Prec@1 42.578 (44.137) Prec@5 71.094 (69.912)
Epoch: [35][780/5005] Time 0.213 (0.221) Data 0.041 (0.063) Loss 2.5434 (2.4796) Prec@1 43.359 (44.133) Prec@5 67.969 (69.915)
Epoch: [35][790/5005] Time 0.216 (0.221) Data 0.043 (0.063) Loss 2.4103 (2.4793) Prec@1 44.922 (44.141) Prec@5 71.094 (69.921)
Epoch: [35][800/5005] Time 0.208 (0.221) Data 0.049 (0.063) Loss 2.4901 (2.4788) Prec@1 42.188 (44.149) Prec@5 68.359 (69.930)
Epoch: [35][810/5005] Time 0.208 (0.221) Data 0.040 (0.062) Loss 2.5037 (2.4789) Prec@1 42.188 (44.141) Prec@5 66.406 (69.925)
Epoch: [35][820/5005] Time 0.213 (0.221) Data 0.052 (0.062) Loss 2.6487 (2.4795) Prec@1 38.281 (44.130) Prec@5 65.625 (69.914)
Epoch: [35][830/5005] Time 0.218 (0.221) Data 0.044 (0.062) Loss 2.4462 (2.4799) Prec@1 42.188 (44.122) Prec@5 70.312 (69.901)
Epoch: [35][840/5005] Time 0.211 (0.221) Data 0.047 (0.062) Loss 2.5013 (2.4801) Prec@1 42.578 (44.136) Prec@5 71.094 (69.898)
Epoch: [35][850/5005] Time 0.210 (0.220) Data 0.044 (0.062) Loss 2.6984 (2.4796) Prec@1 44.141 (44.152) Prec@5 67.188 (69.903)
Epoch: [35][860/5005] Time 0.203 (0.220) Data 0.079 (0.062) Loss 2.5815 (2.4799) Prec@1 41.406 (44.154) Prec@5 67.188 (69.892)
Epoch: [35][870/5005] Time 0.218 (0.220) Data 0.046 (0.063) Loss 2.5608 (2.4788) Prec@1 40.234 (44.172) Prec@5 67.188 (69.914)
Epoch: [35][880/5005] Time 0.191 (0.221) Data 0.047 (0.063) Loss 2.4160 (2.4789) Prec@1 44.531 (44.167) Prec@5 70.703 (69.918)
Epoch: [35][890/5005] Time 0.207 (0.221) Data 0.040 (0.063) Loss 2.7699 (2.4788) Prec@1 39.453 (44.157) Prec@5 63.672 (69.912)
Epoch: [35][900/5005] Time 0.213 (0.221) Data 0.050 (0.064) Loss 2.4129 (2.4782) Prec@1 46.875 (44.175) Prec@5 71.875 (69.932)
Epoch: [35][910/5005] Time 0.210 (0.221) Data 0.044 (0.064) Loss 2.3576 (2.4779) Prec@1 45.312 (44.177) Prec@5 73.438 (69.927)
Epoch: [35][920/5005] Time 0.196 (0.222) Data 0.044 (0.065) Loss 2.5972 (2.4774) Prec@1 41.406 (44.187) Prec@5 69.531 (69.933)
Epoch: [35][930/5005] Time 0.203 (0.222) Data 0.042 (0.065) Loss 2.5566 (2.4766) Prec@1 47.266 (44.214) Prec@5 66.016 (69.939)
Epoch: [35][940/5005] Time 0.199 (0.222) Data 0.054 (0.065) Loss 2.3221 (2.4768) Prec@1 44.922 (44.218) Prec@5 73.047 (69.940)
Epoch: [35][950/5005] Time 0.646 (0.223) Data 0.567 (0.066) Loss 2.7321 (2.4780) Prec@1 41.797 (44.204) Prec@5 66.406 (69.926)
Epoch: [35][960/5005] Time 0.204 (0.222) Data 0.043 (0.066) Loss 2.7875 (2.4781) Prec@1 39.844 (44.193) Prec@5 64.844 (69.926)
Epoch: [35][970/5005] Time 0.207 (0.222) Data 0.039 (0.066) Loss 2.2447 (2.4778) Prec@1 47.266 (44.183) Prec@5 72.266 (69.926)
Epoch: [35][980/5005] Time 0.205 (0.222) Data 0.049 (0.066) Loss 2.3058 (2.4772) Prec@1 45.312 (44.197) Prec@5 72.656 (69.937)
Epoch: [35][990/5005] Time 0.205 (0.222) Data 0.042 (0.066) Loss 2.5798 (2.4777) Prec@1 37.891 (44.173) Prec@5 68.750 (69.929)
Epoch: [35][1000/5005] Time 0.202 (0.222) Data 0.062 (0.065) Loss 2.4715 (2.4776) Prec@1 46.875 (44.184) Prec@5 69.922 (69.929)
Epoch: [35][1010/5005] Time 0.213 (0.222) Data 0.045 (0.065) Loss 2.5709 (2.4774) Prec@1 42.969 (44.190) Prec@5 69.922 (69.930)
Epoch: [35][1020/5005] Time 0.215 (0.222) Data 0.044 (0.065) Loss 2.3046 (2.4778) Prec@1 46.484 (44.196) Prec@5 73.047 (69.919)
Epoch: [35][1030/5005] Time 0.205 (0.222) Data 0.041 (0.065) Loss 2.3675 (2.4773) Prec@1 44.922 (44.201) Prec@5 70.703 (69.918)
Epoch: [35][1040/5005] Time 0.214 (0.222) Data 0.044 (0.064) Loss 2.6110 (2.4772) Prec@1 44.531 (44.209) Prec@5 71.875 (69.926)
Epoch: [35][1050/5005] Time 0.205 (0.222) Data 0.044 (0.064) Loss 2.5651 (2.4778) Prec@1 43.750 (44.191) Prec@5 69.141 (69.911)
Epoch: [35][1060/5005] Time 0.199 (0.221) Data 0.046 (0.064) Loss 2.6501 (2.4781) Prec@1 42.188 (44.180) Prec@5 66.406 (69.914)
Epoch: [35][1070/5005] Time 0.207 (0.221) Data 0.062 (0.064) Loss 2.4919 (2.4783) Prec@1 45.703 (44.176) Prec@5 69.531 (69.902)
Epoch: [35][1080/5005] Time 0.199 (0.221) Data 0.048 (0.064) Loss 2.4877 (2.4784) Prec@1 42.578 (44.177) Prec@5 70.703 (69.893)
Epoch: [35][1090/5005] Time 0.201 (0.221) Data 0.048 (0.064) Loss 2.3199 (2.4778) Prec@1 46.875 (44.186) Prec@5 71.094 (69.900)
Epoch: [35][1100/5005] Time 0.211 (0.221) Data 0.042 (0.064) Loss 2.3730 (2.4773) Prec@1 44.141 (44.195) Prec@5 71.875 (69.902)
Epoch: [35][1110/5005] Time 0.214 (0.221) Data 0.042 (0.063) Loss 2.4355 (2.4772) Prec@1 42.578 (44.206) Prec@5 71.484 (69.901)
Epoch: [35][1120/5005] Time 0.210 (0.221) Data 0.047 (0.063) Loss 2.4357 (2.4766) Prec@1 44.922 (44.221) Prec@5 69.531 (69.910)
Epoch: [35][1130/5005] Time 0.201 (0.221) Data 0.044 (0.063) Loss 2.5641 (2.4770) Prec@1 42.578 (44.212) Prec@5 68.750 (69.902)
Epoch: [35][1140/5005] Time 0.208 (0.221) Data 0.042 (0.063) Loss 2.4128 (2.4763) Prec@1 46.484 (44.224) Prec@5 66.797 (69.910)
Epoch: [35][1150/5005] Time 0.212 (0.220) Data 0.041 (0.063) Loss 2.3306 (2.4757) Prec@1 42.578 (44.234) Prec@5 71.094 (69.919)
Epoch: [35][1160/5005] Time 0.213 (0.220) Data 0.042 (0.063) Loss 2.4990 (2.4755) Prec@1 44.531 (44.236) Prec@5 68.359 (69.918)
Epoch: [35][1170/5005] Time 0.210 (0.220) Data 0.049 (0.063) Loss 2.3284 (2.4757) Prec@1 48.438 (44.232) Prec@5 73.047 (69.908)
Epoch: [35][1180/5005] Time 0.206 (0.220) Data 0.093 (0.062) Loss 2.5479 (2.4749) Prec@1 36.719 (44.235) Prec@5 68.750 (69.916)
Epoch: [35][1190/5005] Time 0.204 (0.220) Data 0.060 (0.063) Loss 2.2395 (2.4744) Prec@1 47.266 (44.251) Prec@5 73.047 (69.922)
Epoch: [35][1200/5005] Time 0.209 (0.220) Data 0.064 (0.063) Loss 2.5754 (2.4743) Prec@1 41.797 (44.256) Prec@5 68.359 (69.924)
Epoch: [35][1210/5005] Time 0.206 (0.220) Data 0.044 (0.063) Loss 2.5269 (2.4749) Prec@1 41.406 (44.253) Prec@5 67.969 (69.921)
Epoch: [35][1220/5005] Time 0.206 (0.220) Data 0.040 (0.063) Loss 2.4200 (2.4749) Prec@1 44.922 (44.256) Prec@5 70.703 (69.926)
Epoch: [35][1230/5005] Time 0.211 (0.221) Data 0.046 (0.063) Loss 2.5069 (2.4750) Prec@1 47.266 (44.250) Prec@5 68.359 (69.925)
Epoch: [35][1240/5005] Time 0.210 (0.221) Data 0.044 (0.063) Loss 2.5948 (2.4753) Prec@1 45.703 (44.239) Prec@5 68.359 (69.915)
Epoch: [35][1250/5005] Time 0.206 (0.220) Data 0.040 (0.063) Loss 2.7568 (2.4757) Prec@1 39.844 (44.230) Prec@5 63.281 (69.904)
Epoch: [35][1260/5005] Time 0.196 (0.221) Data 0.049 (0.064) Loss 2.1377 (2.4750) Prec@1 47.656 (44.236) Prec@5 76.172 (69.918)
Epoch: [35][1270/5005] Time 0.322 (0.221) Data 0.238 (0.064) Loss 2.7064 (2.4754) Prec@1 42.578 (44.232) Prec@5 68.359 (69.909)
Epoch: [35][1280/5005] Time 0.213 (0.221) Data 0.049 (0.064) Loss 2.5017 (2.4762) Prec@1 47.266 (44.225) Prec@5 70.312 (69.898)
Epoch: [35][1290/5005] Time 0.198 (0.221) Data 0.046 (0.064) Loss 2.3355 (2.4758) Prec@1 46.875 (44.236) Prec@5 73.047 (69.905)
Epoch: [35][1300/5005] Time 0.204 (0.221) Data 0.044 (0.064) Loss 2.3524 (2.4757) Prec@1 48.828 (44.231) Prec@5 71.875 (69.910)
Epoch: [35][1310/5005] Time 0.208 (0.221) Data 0.040 (0.064) Loss 2.3992 (2.4755) Prec@1 43.359 (44.237) Prec@5 72.266 (69.912)
Epoch: [35][1320/5005] Time 0.209 (0.221) Data 0.090 (0.064) Loss 2.6174 (2.4756) Prec@1 41.016 (44.235) Prec@5 70.703 (69.913)
Epoch: [35][1330/5005] Time 0.219 (0.221) Data 0.044 (0.064) Loss 2.6803 (2.4760) Prec@1 41.016 (44.238) Prec@5 67.969 (69.907)
Epoch: [35][1340/5005] Time 0.509 (0.221) Data 0.421 (0.064) Loss 2.3519 (2.4757) Prec@1 48.047 (44.244) Prec@5 72.656 (69.909)
Epoch: [35][1350/5005] Time 0.207 (0.221) Data 0.043 (0.064) Loss 2.9457 (2.4760) Prec@1 37.891 (44.231) Prec@5 60.938 (69.910)
Epoch: [35][1360/5005] Time 0.206 (0.221) Data 0.043 (0.064) Loss 2.3768 (2.4759) Prec@1 46.484 (44.233) Prec@5 69.922 (69.908)
Epoch: [35][1370/5005] Time 0.207 (0.221) Data 0.045 (0.064) Loss 2.5420 (2.4756) Prec@1 43.359 (44.240) Prec@5 69.922 (69.917)
Epoch: [35][1380/5005] Time 0.204 (0.221) Data 0.050 (0.064) Loss 2.5262 (2.4753) Prec@1 44.141 (44.247) Prec@5 70.703 (69.923)
Epoch: [35][1390/5005] Time 0.210 (0.221) Data 0.047 (0.065) Loss 2.4594 (2.4755) Prec@1 48.828 (44.245) Prec@5 69.531 (69.921)
Epoch: [35][1400/5005] Time 0.201 (0.221) Data 0.047 (0.065) Loss 2.3536 (2.4747) Prec@1 46.875 (44.252) Prec@5 70.703 (69.939)
Epoch: [35][1410/5005] Time 0.212 (0.221) Data 0.045 (0.065) Loss 2.3437 (2.4745) Prec@1 49.609 (44.247) Prec@5 73.047 (69.946)
Epoch: [35][1420/5005] Time 0.207 (0.221) Data 0.093 (0.065) Loss 2.6667 (2.4743) Prec@1 42.188 (44.249) Prec@5 65.625 (69.947)
Epoch: [35][1430/5005] Time 0.213 (0.221) Data 0.047 (0.065) Loss 2.2201 (2.4741) Prec@1 46.094 (44.254) Prec@5 73.828 (69.951)
Epoch: [35][1440/5005] Time 0.210 (0.221) Data 0.122 (0.065) Loss 2.1535 (2.4737) Prec@1 50.391 (44.255) Prec@5 76.562 (69.953)
Epoch: [35][1450/5005] Time 0.217 (0.221) Data 0.050 (0.066) Loss 2.4300 (2.4736) Prec@1 50.000 (44.264) Prec@5 73.047 (69.952)
Epoch: [35][1460/5005] Time 0.215 (0.221) Data 0.124 (0.066) Loss 2.5548 (2.4736) Prec@1 40.625 (44.263) Prec@5 67.188 (69.948)
Epoch: [35][1470/5005] Time 0.206 (0.221) Data 0.045 (0.066) Loss 2.4748 (2.4738) Prec@1 44.531 (44.268) Prec@5 68.750 (69.944)
Epoch: [35][1480/5005] Time 0.205 (0.221) Data 0.057 (0.066) Loss 2.2511 (2.4740) Prec@1 51.562 (44.273) Prec@5 74.609 (69.946)
Epoch: [35][1490/5005] Time 0.206 (0.221) Data 0.051 (0.066) Loss 2.7031 (2.4736) Prec@1 37.500 (44.287) Prec@5 62.891 (69.952)
Epoch: [35][1500/5005] Time 0.320 (0.221) Data 0.235 (0.066) Loss 2.6009 (2.4734) Prec@1 45.312 (44.293) Prec@5 68.750 (69.956)
Epoch: [35][1510/5005] Time 0.353 (0.221) Data 0.269 (0.066) Loss 2.2838 (2.4731) Prec@1 46.484 (44.298) Prec@5 73.828 (69.960)
Epoch: [35][1520/5005] Time 0.220 (0.221) Data 0.047 (0.067) Loss 2.5285 (2.4727) Prec@1 42.969 (44.298) Prec@5 69.922 (69.966)
Epoch: [35][1530/5005] Time 0.197 (0.221) Data 0.044 (0.067) Loss 2.6133 (2.4727) Prec@1 42.969 (44.294) Prec@5 67.578 (69.966)
Epoch: [35][1540/5005] Time 0.196 (0.221) Data 0.041 (0.067) Loss 2.5536 (2.4732) Prec@1 46.484 (44.293) Prec@5 68.359 (69.962)
Epoch: [35][1550/5005] Time 0.190 (0.221) Data 0.048 (0.067) Loss 2.3707 (2.4729) Prec@1 45.703 (44.298) Prec@5 75.000 (69.970)
Epoch: [35][1560/5005] Time 0.205 (0.221) Data 0.044 (0.067) Loss 2.3070 (2.4729) Prec@1 47.656 (44.301) Prec@5 71.094 (69.976)
Epoch: [35][1570/5005] Time 0.314 (0.222) Data 0.224 (0.067) Loss 2.3442 (2.4726) Prec@1 46.875 (44.310) Prec@5 72.266 (69.977)
Epoch: [35][1580/5005] Time 0.213 (0.222) Data 0.045 (0.068) Loss 2.2760 (2.4727) Prec@1 46.094 (44.297) Prec@5 73.047 (69.973)
Epoch: [35][1590/5005] Time 0.195 (0.222) Data 0.053 (0.068) Loss 2.3738 (2.4727) Prec@1 46.484 (44.298) Prec@5 71.875 (69.979)
Epoch: [35][1600/5005] Time 0.206 (0.222) Data 0.040 (0.068) Loss 2.4665 (2.4728) Prec@1 42.188 (44.293) Prec@5 71.484 (69.980)
Epoch: [35][1610/5005] Time 0.206 (0.222) Data 0.041 (0.068) Loss 2.6489 (2.4728) Prec@1 41.797 (44.296) Prec@5 67.188 (69.981)
Epoch: [35][1620/5005] Time 0.200 (0.222) Data 0.051 (0.068) Loss 2.5884 (2.4724) Prec@1 39.844 (44.296) Prec@5 68.750 (69.985)
Epoch: [35][1630/5005] Time 0.213 (0.222) Data 0.040 (0.068) Loss 2.4326 (2.4721) Prec@1 44.141 (44.308) Prec@5 71.094 (69.987)
Epoch: [35][1640/5005] Time 0.206 (0.222) Data 0.041 (0.068) Loss 2.5748 (2.4724) Prec@1 45.703 (44.304) Prec@5 71.875 (69.982)
Epoch: [35][1650/5005] Time 0.197 (0.222) Data 0.096 (0.068) Loss 2.5515 (2.4725) Prec@1 44.922 (44.305) Prec@5 67.578 (69.981)
Epoch: [35][1660/5005] Time 0.202 (0.222) Data 0.048 (0.068) Loss 2.3819 (2.4719) Prec@1 47.656 (44.318) Prec@5 70.312 (69.990)
Epoch: [35][1670/5005] Time 0.203 (0.222) Data 0.045 (0.068) Loss 2.2799 (2.4719) Prec@1 46.875 (44.319) Prec@5 73.047 (69.991)
Epoch: [35][1680/5005] Time 0.199 (0.222) Data 0.045 (0.068) Loss 2.5898 (2.4719) Prec@1 45.703 (44.324) Prec@5 68.750 (69.988)
Epoch: [35][1690/5005] Time 0.206 (0.222) Data 0.042 (0.068) Loss 2.3213 (2.4717) Prec@1 50.391 (44.326) Prec@5 73.438 (69.989)
Epoch: [35][1700/5005] Time 0.211 (0.222) Data 0.052 (0.068) Loss 2.3685 (2.4712) Prec@1 46.484 (44.335) Prec@5 71.875 (69.994)
Epoch: [35][1710/5005] Time 0.197 (0.222) Data 0.111 (0.069) Loss 2.3397 (2.4706) Prec@1 46.484 (44.343) Prec@5 75.391 (70.002)
Epoch: [35][1720/5005] Time 0.194 (0.222) Data 0.052 (0.069) Loss 2.4554 (2.4706) Prec@1 44.141 (44.339) Prec@5 69.922 (69.999)
Epoch: [35][1730/5005] Time 0.203 (0.222) Data 0.053 (0.069) Loss 2.5342 (2.4708) Prec@1 43.750 (44.332) Prec@5 71.094 (69.994)
Epoch: [35][1740/5005] Time 0.204 (0.222) Data 0.043 (0.069) Loss 2.6689 (2.4707) Prec@1 40.234 (44.334) Prec@5 67.188 (70.000)
Epoch: [35][1750/5005] Time 0.268 (0.222) Data 0.190 (0.069) Loss 2.4624 (2.4702) Prec@1 41.016 (44.339) Prec@5 69.141 (70.012)
Epoch: [35][1760/5005] Time 0.211 (0.222) Data 0.049 (0.069) Loss 2.2610 (2.4698) Prec@1 44.922 (44.345) Prec@5 71.875 (70.016)
Epoch: [35][1770/5005] Time 0.204 (0.222) Data 0.048 (0.069) Loss 2.5488 (2.4697) Prec@1 40.625 (44.350) Prec@5 71.875 (70.020)
Epoch: [35][1780/5005] Time 0.201 (0.222) Data 0.051 (0.069) Loss 2.3950 (2.4694) Prec@1 42.188 (44.350) Prec@5 73.047 (70.027)
Epoch: [35][1790/5005] Time 0.202 (0.222) Data 0.104 (0.069) Loss 2.2840 (2.4691) Prec@1 48.438 (44.356) Prec@5 75.781 (70.032)
Epoch: [35][1800/5005] Time 0.208 (0.222) Data 0.041 (0.070) Loss 2.3636 (2.4689) Prec@1 46.094 (44.364) Prec@5 73.047 (70.032)
Epoch: [35][1810/5005] Time 0.196 (0.222) Data 0.066 (0.070) Loss 2.3355 (2.4686) Prec@1 44.531 (44.361) Prec@5 74.219 (70.044)
Epoch: [35][1820/5005] Time 0.201 (0.222) Data 0.052 (0.070) Loss 2.5137 (2.4684) Prec@1 41.406 (44.363) Prec@5 68.750 (70.048)
Epoch: [35][1830/5005] Time 0.210 (0.222) Data 0.042 (0.070) Loss 2.2151 (2.4680) Prec@1 48.828 (44.370) Prec@5 75.391 (70.054)
Epoch: [35][1840/5005] Time 0.206 (0.222) Data 0.047 (0.070) Loss 2.5465 (2.4679) Prec@1 40.625 (44.374) Prec@5 69.141 (70.056)
Epoch: [35][1850/5005] Time 0.329 (0.222) Data 0.242 (0.070) Loss 2.3081 (2.4675) Prec@1 46.484 (44.385) Prec@5 73.828 (70.060)
Epoch: [35][1860/5005] Time 0.206 (0.222) Data 0.056 (0.070) Loss 2.4243 (2.4677) Prec@1 48.828 (44.375) Prec@5 71.875 (70.059)
Epoch: [35][1870/5005] Time 0.204 (0.222) Data 0.040 (0.070) Loss 2.5579 (2.4680) Prec@1 43.359 (44.365) Prec@5 67.578 (70.055)
Epoch: [35][1880/5005] Time 0.207 (0.222) Data 0.040 (0.070) Loss 2.5400 (2.4682) Prec@1 41.406 (44.364) Prec@5 68.750 (70.051)
Epoch: [35][1890/5005] Time 0.201 (0.222) Data 0.051 (0.070) Loss 2.4836 (2.4680) Prec@1 45.312 (44.370) Prec@5 70.312 (70.059)
Epoch: [35][1900/5005] Time 0.200 (0.222) Data 0.042 (0.070) Loss 2.4404 (2.4684) Prec@1 46.094 (44.360) Prec@5 70.703 (70.054)
Epoch: [35][1910/5005] Time 0.204 (0.222) Data 0.046 (0.070) Loss 2.3519 (2.4684) Prec@1 47.656 (44.356) Prec@5 70.703 (70.049)
Epoch: [35][1920/5005] Time 0.202 (0.222) Data 0.047 (0.070) Loss 2.3980 (2.4682) Prec@1 42.578 (44.350) Prec@5 71.875 (70.057)
Epoch: [35][1930/5005] Time 0.539 (0.222) Data 0.457 (0.071) Loss 2.3373 (2.4680) Prec@1 48.047 (44.359) Prec@5 71.094 (70.060)
Epoch: [35][1940/5005] Time 0.211 (0.222) Data 0.045 (0.071) Loss 2.3756 (2.4678) Prec@1 48.047 (44.366) Prec@5 75.391 (70.065)
Epoch: [35][1950/5005] Time 0.207 (0.222) Data 0.057 (0.071) Loss 2.5650 (2.4676) Prec@1 44.531 (44.374) Prec@5 67.969 (70.070)
Epoch: [35][1960/5005] Time 0.207 (0.222) Data 0.047 (0.071) Loss 2.3807 (2.4673) Prec@1 43.359 (44.378) Prec@5 73.047 (70.075)
Epoch: [35][1970/5005] Time 0.204 (0.222) Data 0.046 (0.071) Loss 2.4028 (2.4675) Prec@1 43.750 (44.369) Prec@5 71.094 (70.067)
Epoch: [35][1980/5005] Time 0.218 (0.222) Data 0.052 (0.071) Loss 2.1968 (2.4675) Prec@1 51.562 (44.374) Prec@5 73.438 (70.072)
Epoch: [35][1990/5005] Time 0.204 (0.222) Data 0.059 (0.071) Loss 2.2379 (2.4671) Prec@1 48.047 (44.380) Prec@5 72.656 (70.078)
Epoch: [35][2000/5005] Time 0.208 (0.222) Data 0.040 (0.071) Loss 2.3316 (2.4672) Prec@1 49.609 (44.378) Prec@5 72.656 (70.074)
Epoch: [35][2010/5005] Time 0.192 (0.222) Data 0.061 (0.071) Loss 2.3830 (2.4671) Prec@1 44.531 (44.382) Prec@5 71.484 (70.076)
Epoch: [35][2020/5005] Time 0.198 (0.222) Data 0.047 (0.071) Loss 2.3903 (2.4670) Prec@1 48.828 (44.382) Prec@5 70.312 (70.078)
Epoch: [35][2030/5005] Time 0.203 (0.222) Data 0.054 (0.071) Loss 2.4400 (2.4669) Prec@1 42.188 (44.388) Prec@5 72.266 (70.078)
Epoch: [35][2040/5005] Time 0.207 (0.222) Data 0.075 (0.071) Loss 2.2921 (2.4667) Prec@1 44.922 (44.389) Prec@5 74.609 (70.081)
Epoch: [35][2050/5005] Time 0.202 (0.222) Data 0.102 (0.071) Loss 2.5770 (2.4664) Prec@1 43.750 (44.397) Prec@5 69.922 (70.084)
Epoch: [35][2060/5005] Time 0.193 (0.222) Data 0.094 (0.071) Loss 2.3707 (2.4664) Prec@1 44.531 (44.393) Prec@5 71.484 (70.082)
Epoch: [35][2070/5005] Time 0.207 (0.222) Data 0.046 (0.071) Loss 2.7361 (2.4668) Prec@1 36.328 (44.388) Prec@5 64.062 (70.071)
Epoch: [35][2080/5005] Time 0.213 (0.222) Data 0.049 (0.071) Loss 2.5462 (2.4669) Prec@1 43.750 (44.386) Prec@5 72.656 (70.070)
Epoch: [35][2090/5005] Time 0.204 (0.222) Data 0.051 (0.071) Loss 2.2606 (2.4664) Prec@1 46.875 (44.399) Prec@5 73.047 (70.077)
Epoch: [35][2100/5005] Time 0.201 (0.222) Data 0.046 (0.071) Loss 2.6314 (2.4664) Prec@1 43.359 (44.395) Prec@5 66.016 (70.075)
Epoch: [35][2110/5005] Time 0.220 (0.222) Data 0.047 (0.071) Loss 2.2891 (2.4663) Prec@1 46.094 (44.399) Prec@5 72.656 (70.074)
Epoch: [35][2120/5005] Time 0.207 (0.223) Data 0.040 (0.072) Loss 2.6180 (2.4664) Prec@1 44.922 (44.395) Prec@5 67.578 (70.075)
Epoch: [35][2130/5005] Time 0.202 (0.223) Data 0.044 (0.072) Loss 2.4723 (2.4661) Prec@1 44.922 (44.398) Prec@5 69.922 (70.084)
Epoch: [35][2140/5005] Time 0.201 (0.223) Data 0.048 (0.072) Loss 2.2652 (2.4660) Prec@1 48.828 (44.399) Prec@5 74.609 (70.086)
Epoch: [35][2150/5005] Time 0.201 (0.222) Data 0.122 (0.072) Loss 2.3219 (2.4658) Prec@1 46.094 (44.401) Prec@5 71.875 (70.087)
Epoch: [35][2160/5005] Time 0.188 (0.222) Data 0.048 (0.072) Loss 2.4347 (2.4657) Prec@1 43.359 (44.399) Prec@5 67.188 (70.090)
Epoch: [35][2170/5005] Time 0.396 (0.222) Data 0.309 (0.072) Loss 2.3182 (2.4654) Prec@1 45.703 (44.407) Prec@5 72.266 (70.095)
Epoch: [35][2180/5005] Time 0.200 (0.222) Data 0.051 (0.072) Loss 2.5584 (2.4654) Prec@1 45.703 (44.414) Prec@5 68.359 (70.094)
Epoch: [35][2190/5005] Time 0.275 (0.222) Data 0.189 (0.072) Loss 2.7228 (2.4655) Prec@1 42.969 (44.416) Prec@5 62.891 (70.089)
Epoch: [35][2200/5005] Time 0.196 (0.223) Data 0.053 (0.072) Loss 2.3355 (2.4657) Prec@1 45.312 (44.419) Prec@5 70.312 (70.088)
Epoch: [35][2210/5005] Time 0.215 (0.223) Data 0.056 (0.072) Loss 2.4593 (2.4658) Prec@1 44.531 (44.417) Prec@5 67.188 (70.083)
Epoch: [35][2220/5005] Time 0.191 (0.223) Data 0.060 (0.072) Loss 2.5809 (2.4657) Prec@1 45.703 (44.419) Prec@5 67.188 (70.084)
Epoch: [35][2230/5005] Time 0.198 (0.223) Data 0.046 (0.072) Loss 2.3561 (2.4656) Prec@1 47.266 (44.420) Prec@5 72.656 (70.084)
Epoch: [35][2240/5005] Time 0.210 (0.223) Data 0.053 (0.072) Loss 2.4005 (2.4657) Prec@1 45.312 (44.416) Prec@5 71.094 (70.079)
Epoch: [35][2250/5005] Time 0.200 (0.222) Data 0.053 (0.072) Loss 2.2532 (2.4657) Prec@1 47.656 (44.414) Prec@5 73.047 (70.080)
Epoch: [35][2260/5005] Time 0.198 (0.223) Data 0.045 (0.072) Loss 2.4062 (2.4653) Prec@1 46.094 (44.427) Prec@5 68.359 (70.084)
Epoch: [35][2270/5005] Time 0.196 (0.222) Data 0.047 (0.072) Loss 2.6947 (2.4651) Prec@1 38.281 (44.427) Prec@5 64.062 (70.088)
Epoch: [35][2280/5005] Time 0.204 (0.223) Data 0.045 (0.072) Loss 2.3311 (2.4651) Prec@1 48.438 (44.429) Prec@5 71.484 (70.091)
Epoch: [35][2290/5005] Time 0.199 (0.223) Data 0.063 (0.073) Loss 2.3992 (2.4652) Prec@1 44.531 (44.432) Prec@5 73.438 (70.092)
Epoch: [35][2300/5005] Time 0.199 (0.223) Data 0.050 (0.073) Loss 2.3747 (2.4651) Prec@1 45.312 (44.434) Prec@5 68.750 (70.092)
Epoch: [35][2310/5005] Time 0.218 (0.223) Data 0.040 (0.073) Loss 2.4768 (2.4650) Prec@1 46.094 (44.440) Prec@5 66.797 (70.092)
Epoch: [35][2320/5005] Time 0.199 (0.222) Data 0.043 (0.072) Loss 2.5149 (2.4651) Prec@1 45.312 (44.440) Prec@5 69.141 (70.089)
Epoch: [35][2330/5005] Time 0.194 (0.223) Data 0.047 (0.073) Loss 2.3989 (2.4649) Prec@1 46.875 (44.442) Prec@5 71.875 (70.097)
Epoch: [35][2340/5005] Time 0.208 (0.223) Data 0.046 (0.073) Loss 2.4984 (2.4648) Prec@1 42.188 (44.445) Prec@5 70.703 (70.098)
Epoch: [35][2350/5005] Time 0.206 (0.223) Data 0.123 (0.073) Loss 2.3709 (2.4644) Prec@1 44.531 (44.449) Prec@5 68.750 (70.099)
Epoch: [35][2360/5005] Time 0.205 (0.223) Data 0.044 (0.073) Loss 2.4572 (2.4644) Prec@1 43.750 (44.451) Prec@5 68.359 (70.100)
Epoch: [35][2370/5005] Time 0.204 (0.223) Data 0.043 (0.073) Loss 2.4951 (2.4645) Prec@1 41.406 (44.445) Prec@5 69.531 (70.098)
Epoch: [35][2380/5005] Time 0.203 (0.223) Data 0.041 (0.073) Loss 2.5859 (2.4642) Prec@1 43.359 (44.449) Prec@5 67.578 (70.100)
Epoch: [35][2390/5005] Time 0.199 (0.223) Data 0.085 (0.073) Loss 2.4083 (2.4641) Prec@1 46.094 (44.454) Prec@5 72.656 (70.099)
Epoch: [35][2400/5005] Time 0.238 (0.223) Data 0.157 (0.073) Loss 2.4351 (2.4640) Prec@1 44.141 (44.453) Prec@5 69.531 (70.100)
Epoch: [35][2410/5005] Time 0.205 (0.223) Data 0.044 (0.073) Loss 2.8116 (2.4642) Prec@1 39.453 (44.448) Prec@5 64.453 (70.097)
Epoch: [35][2420/5005] Time 0.203 (0.223) Data 0.043 (0.073) Loss 2.5754 (2.4640) Prec@1 40.234 (44.456) Prec@5 67.578 (70.102)
Epoch: [35][2430/5005] Time 0.203 (0.223) Data 0.040 (0.073) Loss 2.2356 (2.4640) Prec@1 47.656 (44.459) Prec@5 74.609 (70.101)
Epoch: [35][2440/5005] Time 0.201 (0.223) Data 0.043 (0.073) Loss 2.1927 (2.4641) Prec@1 48.438 (44.462) Prec@5 74.219 (70.098)
Epoch: [35][2450/5005] Time 0.202 (0.223) Data 0.040 (0.073) Loss 2.3064 (2.4640) Prec@1 48.047 (44.461) Prec@5 73.438 (70.098)
Epoch: [35][2460/5005] Time 0.716 (0.223) Data 0.630 (0.073) Loss 2.5028 (2.4638) Prec@1 43.359 (44.463) Prec@5 70.703 (70.099)
Epoch: [35][2470/5005] Time 0.202 (0.223) Data 0.048 (0.074) Loss 2.3040 (2.4637) Prec@1 46.094 (44.465) Prec@5 72.656 (70.101)
Epoch: [35][2480/5005] Time 0.205 (0.223) Data 0.046 (0.073) Loss 2.4999 (2.4639) Prec@1 42.578 (44.463) Prec@5 71.875 (70.099)
Epoch: [35][2490/5005] Time 0.202 (0.223) Data 0.045 (0.073) Loss 2.1667 (2.4639) Prec@1 50.391 (44.464) Prec@5 73.828 (70.101)
Epoch: [35][2500/5005] Time 0.608 (0.223) Data 0.520 (0.074) Loss 2.4638 (2.4637) Prec@1 44.531 (44.467) Prec@5 66.406 (70.103)
Epoch: [35][2510/5005] Time 0.202 (0.223) Data 0.039 (0.074) Loss 2.5160 (2.4637) Prec@1 48.438 (44.465) Prec@5 73.438 (70.105)
Epoch: [35][2520/5005] Time 0.204 (0.223) Data 0.039 (0.074) Loss 2.3101 (2.4637) Prec@1 43.750 (44.465) Prec@5 73.047 (70.108)
Epoch: [35][2530/5005] Time 0.196 (0.223) Data 0.044 (0.074) Loss 2.6892 (2.4638) Prec@1 41.016 (44.458) Prec@5 65.625 (70.104)
Epoch: [35][2540/5005] Time 0.203 (0.223) Data 0.053 (0.074) Loss 2.3496 (2.4636) Prec@1 45.703 (44.463) Prec@5 72.266 (70.112)
Epoch: [35][2550/5005] Time 0.191 (0.223) Data 0.098 (0.074) Loss 2.5175 (2.4635) Prec@1 44.922 (44.466) Prec@5 69.922 (70.117)
Epoch: [35][2560/5005] Time 0.198 (0.223) Data 0.049 (0.074) Loss 2.6490 (2.4636) Prec@1 39.844 (44.465) Prec@5 64.453 (70.115)
Epoch: [35][2570/5005] Time 0.200 (0.223) Data 0.043 (0.074) Loss 2.4330 (2.4637) Prec@1 39.453 (44.465) Prec@5 71.484 (70.114)
Epoch: [35][2580/5005] Time 0.345 (0.223) Data 0.262 (0.074) Loss 2.4928 (2.4641) Prec@1 40.625 (44.459) Prec@5 69.531 (70.104)
Epoch: [35][2590/5005] Time 0.202 (0.223) Data 0.039 (0.074) Loss 2.6117 (2.4638) Prec@1 43.359 (44.468) Prec@5 68.359 (70.110)
Epoch: [35][2600/5005] Time 0.196 (0.223) Data 0.077 (0.074) Loss 2.5317 (2.4640) Prec@1 44.141 (44.464) Prec@5 69.922 (70.108)
Epoch: [35][2610/5005] Time 0.188 (0.223) Data 0.107 (0.074) Loss 2.5984 (2.4638) Prec@1 42.578 (44.464) Prec@5 67.969 (70.110)
Epoch: [35][2620/5005] Time 0.266 (0.223) Data 0.183 (0.074) Loss 2.5100 (2.4637) Prec@1 40.625 (44.465) Prec@5 66.797 (70.109)
Epoch: [35][2630/5005] Time 0.200 (0.223) Data 0.063 (0.074) Loss 2.6723 (2.4642) Prec@1 40.625 (44.457) Prec@5 66.406 (70.100)
Epoch: [35][2640/5005] Time 0.197 (0.223) Data 0.045 (0.074) Loss 2.6133 (2.4641) Prec@1 40.234 (44.456) Prec@5 67.578 (70.102)
Epoch: [35][2650/5005] Time 0.201 (0.223) Data 0.045 (0.074) Loss 2.7035 (2.4642) Prec@1 39.062 (44.453) Prec@5 67.188 (70.098)
Epoch: [35][2660/5005] Time 0.200 (0.223) Data 0.053 (0.074) Loss 2.4443 (2.4641) Prec@1 46.484 (44.455) Prec@5 71.484 (70.098)
Epoch: [35][2670/5005] Time 0.208 (0.223) Data 0.044 (0.074) Loss 2.0784 (2.4638) Prec@1 51.562 (44.458) Prec@5 76.562 (70.100)
Epoch: [35][2680/5005] Time 0.210 (0.223) Data 0.044 (0.075) Loss 2.2956 (2.4638) Prec@1 49.219 (44.459) Prec@5 72.266 (70.100)
Epoch: [35][2690/5005] Time 0.195 (0.223) Data 0.044 (0.075) Loss 2.3055 (2.4637) Prec@1 50.000 (44.463) Prec@5 72.656 (70.101)
Epoch: [35][2700/5005] Time 0.209 (0.223) Data 0.039 (0.075) Loss 2.3924 (2.4637) Prec@1 44.922 (44.462) Prec@5 72.266 (70.100)
Epoch: [35][2710/5005] Time 0.201 (0.223) Data 0.040 (0.075) Loss 2.2847 (2.4638) Prec@1 45.703 (44.456) Prec@5 73.047 (70.102)
Epoch: [35][2720/5005] Time 0.205 (0.223) Data 0.040 (0.074) Loss 2.4415 (2.4638) Prec@1 49.219 (44.453) Prec@5 73.828 (70.107)
Epoch: [35][2730/5005] Time 0.198 (0.223) Data 0.041 (0.074) Loss 2.5033 (2.4638) Prec@1 45.312 (44.456) Prec@5 66.016 (70.108)
Epoch: [35][2740/5005] Time 0.200 (0.223) Data 0.043 (0.074) Loss 2.4310 (2.4637) Prec@1 41.797 (44.459) Prec@5 71.875 (70.110)
Epoch: [35][2750/5005] Time 0.204 (0.223) Data 0.045 (0.074) Loss 2.4986 (2.4635) Prec@1 43.359 (44.466) Prec@5 69.922 (70.109)
Epoch: [35][2760/5005] Time 0.209 (0.223) Data 0.055 (0.074) Loss 2.4106 (2.4634) Prec@1 47.266 (44.470) Prec@5 69.141 (70.111)
Epoch: [35][2770/5005] Time 0.200 (0.223) Data 0.113 (0.074) Loss 2.3990 (2.4636) Prec@1 46.484 (44.469) Prec@5 72.266 (70.107)
Epoch: [35][2780/5005] Time 0.187 (0.223) Data 0.064 (0.075) Loss 2.5652 (2.4636) Prec@1 44.922 (44.474) Prec@5 71.875 (70.111)
Epoch: [35][2790/5005] Time 0.197 (0.223) Data 0.043 (0.075) Loss 2.7511 (2.4638) Prec@1 38.281 (44.469) Prec@5 65.234 (70.106)
Epoch: [35][2800/5005] Time 0.394 (0.223) Data 0.314 (0.075) Loss 2.2871 (2.4637) Prec@1 47.266 (44.467) Prec@5 72.656 (70.109)
Epoch: [35][2810/5005] Time 0.201 (0.223) Data 0.038 (0.075) Loss 2.6763 (2.4638) Prec@1 42.578 (44.465) Prec@5 65.234 (70.107)
Epoch: [35][2820/5005] Time 0.194 (0.223) Data 0.048 (0.075) Loss 2.1029 (2.4635) Prec@1 47.656 (44.470) Prec@5 75.391 (70.114)
Epoch: [35][2830/5005] Time 0.207 (0.223) Data 0.040 (0.075) Loss 2.7129 (2.4636) Prec@1 38.672 (44.466) Prec@5 66.406 (70.113)
Epoch: [35][2840/5005] Time 0.203 (0.223) Data 0.044 (0.075) Loss 2.4592 (2.4635) Prec@1 44.141 (44.467) Prec@5 71.094 (70.116)
Epoch: [35][2850/5005] Time 0.208 (0.223) Data 0.128 (0.075) Loss 2.3251 (2.4634) Prec@1 46.094 (44.469) Prec@5 70.312 (70.116)
Epoch: [35][2860/5005] Time 0.200 (0.223) Data 0.051 (0.075) Loss 2.5160 (2.4634) Prec@1 43.359 (44.470) Prec@5 71.094 (70.119)
Epoch: [35][2870/5005] Time 0.220 (0.223) Data 0.044 (0.075) Loss 2.3486 (2.4630) Prec@1 45.312 (44.482) Prec@5 73.438 (70.125)
Epoch: [35][2880/5005] Time 0.207 (0.223) Data 0.046 (0.075) Loss 2.4129 (2.4631) Prec@1 40.625 (44.482) Prec@5 73.828 (70.123)
Epoch: [35][2890/5005] Time 0.239 (0.223) Data 0.158 (0.075) Loss 2.5675 (2.4629) Prec@1 41.406 (44.487) Prec@5 68.750 (70.126)
Epoch: [35][2900/5005] Time 0.206 (0.223) Data 0.045 (0.074) Loss 2.1561 (2.4626) Prec@1 51.172 (44.493) Prec@5 72.266 (70.131)
Epoch: [35][2910/5005] Time 0.203 (0.223) Data 0.071 (0.075) Loss 2.3834 (2.4627) Prec@1 48.047 (44.494) Prec@5 70.703 (70.131)
Epoch: [35][2920/5005] Time 0.207 (0.223) Data 0.043 (0.075) Loss 2.4802 (2.4627) Prec@1 41.797 (44.492) Prec@5 70.703 (70.134)
Epoch: [35][2930/5005] Time 0.196 (0.223) Data 0.111 (0.075) Loss 2.6761 (2.4628) Prec@1 39.062 (44.492) Prec@5 68.359 (70.135)
Epoch: [35][2940/5005] Time 0.399 (0.223) Data 0.311 (0.075) Loss 2.5636 (2.4627) Prec@1 43.359 (44.494) Prec@5 65.625 (70.137)
Epoch: [35][2950/5005] Time 0.208 (0.223) Data 0.046 (0.075) Loss 2.4945 (2.4624) Prec@1 37.891 (44.497) Prec@5 67.578 (70.138)
Epoch: [35][2960/5005] Time 0.206 (0.223) Data 0.043 (0.075) Loss 2.4417 (2.4622) Prec@1 45.312 (44.502) Prec@5 69.531 (70.138)
Epoch: [35][2970/5005] Time 0.595 (0.223) Data 0.515 (0.075) Loss 2.5085 (2.4620) Prec@1 42.188 (44.503) Prec@5 67.969 (70.142)
Epoch: [35][2980/5005] Time 0.205 (0.223) Data 0.048 (0.075) Loss 2.6655 (2.4620) Prec@1 41.797 (44.504) Prec@5 69.531 (70.145)
Epoch: [35][2990/5005] Time 0.211 (0.223) Data 0.047 (0.075) Loss 2.4160 (2.4620) Prec@1 45.312 (44.501) Prec@5 71.094 (70.145)
Epoch: [35][3000/5005] Time 0.522 (0.223) Data 0.441 (0.075) Loss 2.5399 (2.4617) Prec@1 41.016 (44.505) Prec@5 66.406 (70.144)
Epoch: [35][3010/5005] Time 0.212 (0.223) Data 0.120 (0.075) Loss 2.4197 (2.4619) Prec@1 45.312 (44.502) Prec@5 71.875 (70.141)
Epoch: [35][3020/5005] Time 0.196 (0.223) Data 0.052 (0.075) Loss 2.3714 (2.4619) Prec@1 44.141 (44.500) Prec@5 71.094 (70.144)
Epoch: [35][3030/5005] Time 0.199 (0.223) Data 0.054 (0.075) Loss 2.4360 (2.4618) Prec@1 44.922 (44.503) Prec@5 72.656 (70.147)
Epoch: [35][3040/5005] Time 0.206 (0.223) Data 0.053 (0.075) Loss 2.3087 (2.4617) Prec@1 47.656 (44.507) Prec@5 73.438 (70.146)
Epoch: [35][3050/5005] Time 0.230 (0.223) Data 0.154 (0.075) Loss 2.4714 (2.4617) Prec@1 41.016 (44.505) Prec@5 68.750 (70.146)
Epoch: [35][3060/5005] Time 0.266 (0.223) Data 0.189 (0.075) Loss 2.2566 (2.4616) Prec@1 52.734 (44.507) Prec@5 73.438 (70.146)
Epoch: [35][3070/5005] Time 0.197 (0.223) Data 0.044 (0.075) Loss 2.5719 (2.4617) Prec@1 41.406 (44.504) Prec@5 67.578 (70.148)
Epoch: [35][3080/5005] Time 0.204 (0.223) Data 0.050 (0.075) Loss 2.4529 (2.4617) Prec@1 42.188 (44.499) Prec@5 69.141 (70.148)
Epoch: [35][3090/5005] Time 0.338 (0.223) Data 0.249 (0.075) Loss 2.6464 (2.4616) Prec@1 39.844 (44.501) Prec@5 65.625 (70.150)
Epoch: [35][3100/5005] Time 0.212 (0.223) Data 0.044 (0.075) Loss 2.4477 (2.4616) Prec@1 44.531 (44.505) Prec@5 67.969 (70.151)
Epoch: [35][3110/5005] Time 0.205 (0.223) Data 0.045 (0.075) Loss 2.2369 (2.4614) Prec@1 46.875 (44.508) Prec@5 74.609 (70.154)
Epoch: [35][3120/5005] Time 0.210 (0.223) Data 0.053 (0.075) Loss 2.4555 (2.4614) Prec@1 45.703 (44.509) Prec@5 68.750 (70.150)
Epoch: [35][3130/5005] Time 0.188 (0.223) Data 0.044 (0.075) Loss 2.5531 (2.4613) Prec@1 44.141 (44.513) Prec@5 68.750 (70.152)
Epoch: [35][3140/5005] Time 0.215 (0.223) Data 0.047 (0.075) Loss 2.3702 (2.4611) Prec@1 45.312 (44.518) Prec@5 71.875 (70.154)
Epoch: [35][3150/5005] Time 0.206 (0.223) Data 0.043 (0.075) Loss 2.3174 (2.4610) Prec@1 44.141 (44.519) Prec@5 71.484 (70.155)
Epoch: [35][3160/5005] Time 0.191 (0.223) Data 0.090 (0.075) Loss 2.2270 (2.4609) Prec@1 48.047 (44.526) Prec@5 74.219 (70.157)
Epoch: [35][3170/5005] Time 0.222 (0.223) Data 0.129 (0.075) Loss 2.4601 (2.4609) Prec@1 44.531 (44.526) Prec@5 67.578 (70.156)
Epoch: [35][3180/5005] Time 0.197 (0.223) Data 0.048 (0.075) Loss 2.3391 (2.4610) Prec@1 46.875 (44.523) Prec@5 73.438 (70.155)
Epoch: [35][3190/5005] Time 0.203 (0.223) Data 0.045 (0.075) Loss 2.3692 (2.4610) Prec@1 44.141 (44.523) Prec@5 71.484 (70.159)
Epoch: [35][3200/5005] Time 0.480 (0.223) Data 0.392 (0.075) Loss 2.3653 (2.4609) Prec@1 44.141 (44.526) Prec@5 73.828 (70.161)
Epoch: [35][3210/5005] Time 0.198 (0.223) Data 0.065 (0.076) Loss 2.4533 (2.4607) Prec@1 43.359 (44.528) Prec@5 68.750 (70.166)
Epoch: [35][3220/5005] Time 0.611 (0.223) Data 0.525 (0.076) Loss 2.4650 (2.4607) Prec@1 46.484 (44.530) Prec@5 71.094 (70.168)
Epoch: [35][3230/5005] Time 0.199 (0.224) Data 0.041 (0.076) Loss 2.2285 (2.4604) Prec@1 47.656 (44.537) Prec@5 74.609 (70.173)
Epoch: [35][3240/5005] Time 0.201 (0.224) Data 0.040 (0.076) Loss 2.6438 (2.4606) Prec@1 40.625 (44.533) Prec@5 69.141 (70.170)
Epoch: [35][3250/5005] Time 0.206 (0.224) Data 0.041 (0.076) Loss 2.4681 (2.4606) Prec@1 42.969 (44.533) Prec@5 70.703 (70.171)
Epoch: [35][3260/5005] Time 0.208 (0.224) Data 0.044 (0.076) Loss 2.4502 (2.4607) Prec@1 44.141 (44.532) Prec@5 70.703 (70.170)
Epoch: [35][3270/5005] Time 0.191 (0.224) Data 0.046 (0.076) Loss 2.5101 (2.4606) Prec@1 44.141 (44.529) Prec@5 67.578 (70.172)
Epoch: [35][3280/5005] Time 0.194 (0.224) Data 0.083 (0.076) Loss 2.3967 (2.4606) Prec@1 44.141 (44.524) Prec@5 72.656 (70.173)
Epoch: [35][3290/5005] Time 0.185 (0.224) Data 0.048 (0.076) Loss 2.4046 (2.4604) Prec@1 47.656 (44.526) Prec@5 68.750 (70.174)
Epoch: [35][3300/5005] Time 0.335 (0.224) Data 0.244 (0.076) Loss 2.3585 (2.4603) Prec@1 43.750 (44.529) Prec@5 73.047 (70.175)
Epoch: [35][3310/5005] Time 0.208 (0.224) Data 0.046 (0.076) Loss 2.2949 (2.4603) Prec@1 51.562 (44.529) Prec@5 73.047 (70.177)
Epoch: [35][3320/5005] Time 0.206 (0.224) Data 0.052 (0.076) Loss 2.5626 (2.4602) Prec@1 44.922 (44.530) Prec@5 66.016 (70.178)
Epoch: [35][3330/5005] Time 0.200 (0.224) Data 0.046 (0.076) Loss 2.3774 (2.4603) Prec@1 44.531 (44.529) Prec@5 71.484 (70.179)
Epoch: [35][3340/5005] Time 0.196 (0.224) Data 0.084 (0.076) Loss 2.4380 (2.4603) Prec@1 48.828 (44.530) Prec@5 71.484 (70.179)
Epoch: [35][3350/5005] Time 0.209 (0.224) Data 0.044 (0.076) Loss 2.5117 (2.4602) Prec@1 43.359 (44.533) Prec@5 70.703 (70.181)
Epoch: [35][3360/5005] Time 0.205 (0.224) Data 0.044 (0.076) Loss 2.3991 (2.4604) Prec@1 46.484 (44.535) Prec@5 70.703 (70.178)
Epoch: [35][3370/5005] Time 0.200 (0.224) Data 0.040 (0.076) Loss 2.5495 (2.4604) Prec@1 40.234 (44.534) Prec@5 71.094 (70.176)
Epoch: [35][3380/5005] Time 0.197 (0.224) Data 0.048 (0.076) Loss 2.4457 (2.4602) Prec@1 40.234 (44.535) Prec@5 71.094 (70.178)
Epoch: [35][3390/5005] Time 0.198 (0.224) Data 0.043 (0.076) Loss 2.3453 (2.4603) Prec@1 48.828 (44.536) Prec@5 71.875 (70.177)
Epoch: [35][3400/5005] Time 0.190 (0.224) Data 0.096 (0.076) Loss 2.4217 (2.4603) Prec@1 45.312 (44.537) Prec@5 70.703 (70.177)
Epoch: [35][3410/5005] Time 0.202 (0.224) Data 0.049 (0.076) Loss 2.3855 (2.4601) Prec@1 47.656 (44.540) Prec@5 71.094 (70.181)
Epoch: [35][3420/5005] Time 0.198 (0.224) Data 0.054 (0.076) Loss 2.4383 (2.4600) Prec@1 46.484 (44.541) Prec@5 68.359 (70.182)
Epoch: [35][3430/5005] Time 0.204 (0.224) Data 0.039 (0.076) Loss 2.4245 (2.4600) Prec@1 42.969 (44.540) Prec@5 71.484 (70.184)
Epoch: [35][3440/5005] Time 0.192 (0.224) Data 0.047 (0.076) Loss 2.4722 (2.4600) Prec@1 45.703 (44.540) Prec@5 67.578 (70.184)
Epoch: [35][3450/5005] Time 0.198 (0.224) Data 0.046 (0.076) Loss 2.2817 (2.4599) Prec@1 48.828 (44.543) Prec@5 72.266 (70.185)
Epoch: [35][3460/5005] Time 0.201 (0.224) Data 0.041 (0.076) Loss 2.4647 (2.4599) Prec@1 44.141 (44.543) Prec@5 70.703 (70.184)
Epoch: [35][3470/5005] Time 0.266 (0.224) Data 0.183 (0.076) Loss 2.2519 (2.4597) Prec@1 46.875 (44.548) Prec@5 74.609 (70.187)
Epoch: [35][3480/5005] Time 0.216 (0.224) Data 0.134 (0.076) Loss 2.3244 (2.4594) Prec@1 44.141 (44.552) Prec@5 72.656 (70.192)
Epoch: [35][3490/5005] Time 0.207 (0.224) Data 0.041 (0.076) Loss 2.4914 (2.4595) Prec@1 40.234 (44.549) Prec@5 71.875 (70.191)
Epoch: [35][3500/5005] Time 0.206 (0.224) Data 0.041 (0.076) Loss 2.2556 (2.4595) Prec@1 45.703 (44.549) Prec@5 77.344 (70.192)
Epoch: [35][3510/5005] Time 0.201 (0.224) Data 0.083 (0.075) Loss 2.3426 (2.4593) Prec@1 46.094 (44.554) Prec@5 71.094 (70.196)
Epoch: [35][3520/5005] Time 0.205 (0.224) Data 0.039 (0.075) Loss 2.6703 (2.4593) Prec@1 44.922 (44.555) Prec@5 67.188 (70.196)
Epoch: [35][3530/5005] Time 0.241 (0.224) Data 0.163 (0.076) Loss 2.4365 (2.4591) Prec@1 43.359 (44.557) Prec@5 68.359 (70.198)
Epoch: [35][3540/5005] Time 0.212 (0.224) Data 0.044 (0.076) Loss 2.2653 (2.4589) Prec@1 48.047 (44.561) Prec@5 72.656 (70.200)
Epoch: [35][3550/5005] Time 0.198 (0.224) Data 0.045 (0.076) Loss 2.4976 (2.4586) Prec@1 42.969 (44.566) Prec@5 68.750 (70.204)
Epoch: [35][3560/5005] Time 0.203 (0.224) Data 0.040 (0.076) Loss 2.5183 (2.4587) Prec@1 41.797 (44.568) Prec@5 71.094 (70.204)
Epoch: [35][3570/5005] Time 0.234 (0.224) Data 0.158 (0.076) Loss 2.4966 (2.4587) Prec@1 41.016 (44.566) Prec@5 71.094 (70.206)
Epoch: [35][3580/5005] Time 0.209 (0.224) Data 0.043 (0.076) Loss 2.3748 (2.4587) Prec@1 47.266 (44.566) Prec@5 70.312 (70.206)
Epoch: [35][3590/5005] Time 0.203 (0.224) Data 0.062 (0.076) Loss 2.3789 (2.4584) Prec@1 46.875 (44.571) Prec@5 69.922 (70.210)
Epoch: [35][3600/5005] Time 0.203 (0.224) Data 0.046 (0.076) Loss 2.4938 (2.4581) Prec@1 41.406 (44.576) Prec@5 69.141 (70.212)
Epoch: [35][3610/5005] Time 0.221 (0.224) Data 0.139 (0.076) Loss 2.4445 (2.4582) Prec@1 45.312 (44.576) Prec@5 72.656 (70.212)
Epoch: [35][3620/5005] Time 0.204 (0.224) Data 0.040 (0.076) Loss 2.5019 (2.4580) Prec@1 41.797 (44.580) Prec@5 67.188 (70.212)
Epoch: [35][3630/5005] Time 0.195 (0.224) Data 0.051 (0.076) Loss 2.7365 (2.4578) Prec@1 41.797 (44.584) Prec@5 67.578 (70.215)
Epoch: [35][3640/5005] Time 0.203 (0.224) Data 0.044 (0.076) Loss 2.4265 (2.4578) Prec@1 39.844 (44.584) Prec@5 72.266 (70.216)
Epoch: [35][3650/5005] Time 0.345 (0.224) Data 0.264 (0.076) Loss 2.3490 (2.4577) Prec@1 44.531 (44.582) Prec@5 72.656 (70.218)
Epoch: [35][3660/5005] Time 0.197 (0.224) Data 0.044 (0.076) Loss 2.4581 (2.4575) Prec@1 44.922 (44.588) Prec@5 70.312 (70.224)
Epoch: [35][3670/5005] Time 0.203 (0.224) Data 0.042 (0.076) Loss 2.6213 (2.4576) Prec@1 41.797 (44.588) Prec@5 68.750 (70.223)
Epoch: [35][3680/5005] Time 0.192 (0.224) Data 0.103 (0.076) Loss 2.3908 (2.4576) Prec@1 46.094 (44.589) Prec@5 69.531 (70.223)
Epoch: [35][3690/5005] Time 0.228 (0.224) Data 0.141 (0.076) Loss 2.2249 (2.4576) Prec@1 48.438 (44.590) Prec@5 78.516 (70.227)
Epoch: [35][3700/5005] Time 0.211 (0.224) Data 0.047 (0.076) Loss 2.4227 (2.4576) Prec@1 48.047 (44.590) Prec@5 72.266 (70.225)
Epoch: [35][3710/5005] Time 0.197 (0.224) Data 0.048 (0.076) Loss 2.3551 (2.4576) Prec@1 46.094 (44.590) Prec@5 71.484 (70.225)
Epoch: [35][3720/5005] Time 0.201 (0.224) Data 0.049 (0.076) Loss 2.4719 (2.4575) Prec@1 48.438 (44.592) Prec@5 70.703 (70.228)
Epoch: [35][3730/5005] Time 0.554 (0.224) Data 0.465 (0.076) Loss 2.2530 (2.4573) Prec@1 46.875 (44.594) Prec@5 74.219 (70.229)
Epoch: [35][3740/5005] Time 0.533 (0.224) Data 0.453 (0.076) Loss 2.4478 (2.4570) Prec@1 44.531 (44.597) Prec@5 71.094 (70.233)
Epoch: [35][3750/5005] Time 0.200 (0.224) Data 0.043 (0.076) Loss 2.3359 (2.4571) Prec@1 47.266 (44.595) Prec@5 73.047 (70.231)
Epoch: [35][3760/5005] Time 0.205 (0.224) Data 0.060 (0.076) Loss 2.6033 (2.4572) Prec@1 42.578 (44.593) Prec@5 67.969 (70.231)
Epoch: [35][3770/5005] Time 0.208 (0.224) Data 0.044 (0.076) Loss 2.5917 (2.4570) Prec@1 39.844 (44.593) Prec@5 66.016 (70.232)
Epoch: [35][3780/5005] Time 0.206 (0.224) Data 0.046 (0.076) Loss 2.3897 (2.4570) Prec@1 45.312 (44.594) Prec@5 72.656 (70.232)
Epoch: [35][3790/5005] Time 0.199 (0.224) Data 0.042 (0.076) Loss 2.5824 (2.4570) Prec@1 44.531 (44.595) Prec@5 69.531 (70.230)
Epoch: [35][3800/5005] Time 0.205 (0.224) Data 0.043 (0.076) Loss 2.3186 (2.4571) Prec@1 49.219 (44.595) Prec@5 71.094 (70.227)
Epoch: [35][3810/5005] Time 0.197 (0.224) Data 0.044 (0.076) Loss 2.3523 (2.4571) Prec@1 45.312 (44.593) Prec@5 73.438 (70.228)
Epoch: [35][3820/5005] Time 0.199 (0.224) Data 0.045 (0.076) Loss 2.3128 (2.4569) Prec@1 48.828 (44.600) Prec@5 73.438 (70.232)
Epoch: [35][3830/5005] Time 0.198 (0.224) Data 0.057 (0.076) Loss 2.5907 (2.4567) Prec@1 39.062 (44.601) Prec@5 67.578 (70.234)
Epoch: [35][3840/5005] Time 0.366 (0.224) Data 0.271 (0.076) Loss 2.6589 (2.4568) Prec@1 38.281 (44.600) Prec@5 67.188 (70.231)
Epoch: [35][3850/5005] Time 0.194 (0.224) Data 0.046 (0.076) Loss 2.5319 (2.4567) Prec@1 42.969 (44.602) Prec@5 68.750 (70.235)
Epoch: [35][3860/5005] Time 0.203 (0.224) Data 0.045 (0.076) Loss 2.4107 (2.4568) Prec@1 47.656 (44.602) Prec@5 71.484 (70.234)
Epoch: [35][3870/5005] Time 0.208 (0.224) Data 0.048 (0.076) Loss 2.3957 (2.4568) Prec@1 44.531 (44.598) Prec@5 69.922 (70.231)
Epoch: [35][3880/5005] Time 0.200 (0.224) Data 0.040 (0.076) Loss 2.3070 (2.4568) Prec@1 50.781 (44.599) Prec@5 73.047 (70.233)
Epoch: [35][3890/5005] Time 0.381 (0.224) Data 0.300 (0.076) Loss 2.6507 (2.4567) Prec@1 42.969 (44.601) Prec@5 66.406 (70.232)
Epoch: [35][3900/5005] Time 0.208 (0.224) Data 0.046 (0.076) Loss 2.7181 (2.4569) Prec@1 39.062 (44.597) Prec@5 67.578 (70.229)
Epoch: [35][3910/5005] Time 0.195 (0.224) Data 0.048 (0.076) Loss 2.5230 (2.4568) Prec@1 41.797 (44.597) Prec@5 71.094 (70.229)
Epoch: [35][3920/5005] Time 0.269 (0.224) Data 0.188 (0.076) Loss 2.3737 (2.4568) Prec@1 39.844 (44.595) Prec@5 72.266 (70.229)
Epoch: [35][3930/5005] Time 0.193 (0.224) Data 0.050 (0.076) Loss 2.4618 (2.4566) Prec@1 46.094 (44.597) Prec@5 69.922 (70.233)
Epoch: [35][3940/5005] Time 0.195 (0.224) Data 0.057 (0.076) Loss 2.4408 (2.4567) Prec@1 43.750 (44.595) Prec@5 67.969 (70.229)
Epoch: [35][3950/5005] Time 0.202 (0.224) Data 0.047 (0.076) Loss 2.3010 (2.4565) Prec@1 46.484 (44.599) Prec@5 75.000 (70.231)
Epoch: [35][3960/5005] Time 0.200 (0.224) Data 0.054 (0.076) Loss 2.4217 (2.4564) Prec@1 44.141 (44.599) Prec@5 71.094 (70.232)
Epoch: [35][3970/5005] Time 0.202 (0.224) Data 0.048 (0.076) Loss 2.4145 (2.4563) Prec@1 43.750 (44.598) Prec@5 73.047 (70.233)
Epoch: [35][3980/5005] Time 0.425 (0.224) Data 0.333 (0.076) Loss 2.3029 (2.4563) Prec@1 45.703 (44.600) Prec@5 71.484 (70.232)
Epoch: [35][3990/5005] Time 0.207 (0.224) Data 0.049 (0.076) Loss 2.4834 (2.4562) Prec@1 44.141 (44.600) Prec@5 70.312 (70.234)
Epoch: [35][4000/5005] Time 0.208 (0.224) Data 0.045 (0.076) Loss 2.3467 (2.4562) Prec@1 44.141 (44.597) Prec@5 72.266 (70.236)
Epoch: [35][4010/5005] Time 0.198 (0.224) Data 0.045 (0.076) Loss 2.4025 (2.4560) Prec@1 47.656 (44.602) Prec@5 72.656 (70.239)
Epoch: [35][4020/5005] Time 0.198 (0.224) Data 0.050 (0.076) Loss 2.5293 (2.4560) Prec@1 44.141 (44.602) Prec@5 67.578 (70.239)
Epoch: [35][4030/5005] Time 0.205 (0.224) Data 0.041 (0.076) Loss 2.5802 (2.4563) Prec@1 44.531 (44.598) Prec@5 68.750 (70.235)
Epoch: [35][4040/5005] Time 0.199 (0.224) Data 0.042 (0.076) Loss 2.3972 (2.4564) Prec@1 46.875 (44.595) Prec@5 69.141 (70.231)
Epoch: [35][4050/5005] Time 0.202 (0.224) Data 0.042 (0.076) Loss 2.6276 (2.4564) Prec@1 37.891 (44.595) Prec@5 65.625 (70.232)
Epoch: [35][4060/5005] Time 0.194 (0.224) Data 0.044 (0.076) Loss 2.3960 (2.4564) Prec@1 46.875 (44.594) Prec@5 70.312 (70.233)
Epoch: [35][4070/5005] Time 0.187 (0.224) Data 0.042 (0.076) Loss 2.6695 (2.4563) Prec@1 40.234 (44.592) Prec@5 67.188 (70.235)
Epoch: [35][4080/5005] Time 0.213 (0.224) Data 0.045 (0.076) Loss 2.4263 (2.4563) Prec@1 42.969 (44.592) Prec@5 73.438 (70.237)
Epoch: [35][4090/5005] Time 0.196 (0.224) Data 0.097 (0.076) Loss 2.5634 (2.4562) Prec@1 42.578 (44.594) Prec@5 70.312 (70.239)
Epoch: [35][4100/5005] Time 0.209 (0.224) Data 0.049 (0.076) Loss 2.2903 (2.4562) Prec@1 49.609 (44.594) Prec@5 74.219 (70.240)
Epoch: [35][4110/5005] Time 0.195 (0.224) Data 0.048 (0.076) Loss 2.5672 (2.4561) Prec@1 44.531 (44.595) Prec@5 69.922 (70.241)
Epoch: [35][4120/5005] Time 0.203 (0.224) Data 0.048 (0.076) Loss 2.6311 (2.4560) Prec@1 44.922 (44.599) Prec@5 66.016 (70.243)
Epoch: [35][4130/5005] Time 0.375 (0.224) Data 0.287 (0.076) Loss 2.6796 (2.4559) Prec@1 38.281 (44.600) Prec@5 63.672 (70.245)
Epoch: [35][4140/5005] Time 0.202 (0.224) Data 0.053 (0.076) Loss 2.5052 (2.4559) Prec@1 42.188 (44.602) Prec@5 66.797 (70.242)
Epoch: [35][4150/5005] Time 0.189 (0.224) Data 0.043 (0.076) Loss 2.7052 (2.4559) Prec@1 42.578 (44.602) Prec@5 64.453 (70.244)
Epoch: [35][4160/5005] Time 0.372 (0.224) Data 0.285 (0.076) Loss 2.4100 (2.4560) Prec@1 42.969 (44.599) Prec@5 71.484 (70.245)
Epoch: [35][4170/5005] Time 0.377 (0.224) Data 0.282 (0.076) Loss 2.3896 (2.4558) Prec@1 42.188 (44.603) Prec@5 73.828 (70.247)
Epoch: [35][4180/5005] Time 0.204 (0.224) Data 0.057 (0.076) Loss 2.3303 (2.4557) Prec@1 44.922 (44.604) Prec@5 69.922 (70.248)
Epoch: [35][4190/5005] Time 0.222 (0.224) Data 0.140 (0.077) Loss 2.2951 (2.4557) Prec@1 48.438 (44.605) Prec@5 70.703 (70.245)
Epoch: [35][4200/5005] Time 0.195 (0.224) Data 0.057 (0.077) Loss 2.3185 (2.4557) Prec@1 43.750 (44.603) Prec@5 72.266 (70.243)
Epoch: [35][4210/5005] Time 0.200 (0.224) Data 0.049 (0.077) Loss 2.2849 (2.4556) Prec@1 46.094 (44.606) Prec@5 75.000 (70.244)
Epoch: [35][4220/5005] Time 0.199 (0.224) Data 0.046 (0.077) Loss 2.6166 (2.4557) Prec@1 44.141 (44.603) Prec@5 69.922 (70.243)
Epoch: [35][4230/5005] Time 0.207 (0.224) Data 0.044 (0.077) Loss 2.4619 (2.4558) Prec@1 44.141 (44.603) Prec@5 71.484 (70.243)
Epoch: [35][4240/5005] Time 0.334 (0.224) Data 0.250 (0.077) Loss 2.2838 (2.4558) Prec@1 47.656 (44.603) Prec@5 76.172 (70.242)
Epoch: [35][4250/5005] Time 0.255 (0.224) Data 0.175 (0.077) Loss 2.2948 (2.4557) Prec@1 50.000 (44.608) Prec@5 69.922 (70.244)
Epoch: [35][4260/5005] Time 0.200 (0.224) Data 0.045 (0.077) Loss 2.4718 (2.4557) Prec@1 39.844 (44.606) Prec@5 66.406 (70.241)
Epoch: [35][4270/5005] Time 0.214 (0.224) Data 0.044 (0.077) Loss 2.6485 (2.4559) Prec@1 43.359 (44.605) Prec@5 70.312 (70.237)
Epoch: [35][4280/5005] Time 0.199 (0.224) Data 0.055 (0.077) Loss 2.5172 (2.4558) Prec@1 46.875 (44.607) Prec@5 69.531 (70.239)
Epoch: [35][4290/5005] Time 0.202 (0.224) Data 0.043 (0.077) Loss 2.6373 (2.4559) Prec@1 42.578 (44.608) Prec@5 67.969 (70.239)
Epoch: [35][4300/5005] Time 0.199 (0.224) Data 0.045 (0.077) Loss 2.2139 (2.4556) Prec@1 49.219 (44.613) Prec@5 75.391 (70.244)
Epoch: [35][4310/5005] Time 0.207 (0.224) Data 0.044 (0.077) Loss 2.3485 (2.4555) Prec@1 46.094 (44.614) Prec@5 72.656 (70.245)
Epoch: [35][4320/5005] Time 0.186 (0.224) Data 0.102 (0.077) Loss 2.3894 (2.4555) Prec@1 50.391 (44.616) Prec@5 72.656 (70.247)
Epoch: [35][4330/5005] Time 0.241 (0.224) Data 0.162 (0.077) Loss 2.2914 (2.4554) Prec@1 46.875 (44.617) Prec@5 73.828 (70.248)
Epoch: [35][4340/5005] Time 0.200 (0.224) Data 0.057 (0.077) Loss 2.5285 (2.4554) Prec@1 42.578 (44.617) Prec@5 66.797 (70.247)
Epoch: [35][4350/5005] Time 0.201 (0.224) Data 0.046 (0.077) Loss 2.5036 (2.4553) Prec@1 47.266 (44.618) Prec@5 71.094 (70.248)
Epoch: [35][4360/5005] Time 0.757 (0.224) Data 0.671 (0.077) Loss 2.2137 (2.4552) Prec@1 47.266 (44.621) Prec@5 74.219 (70.250)
Epoch: [35][4370/5005] Time 0.199 (0.224) Data 0.044 (0.077) Loss 2.5044 (2.4552) Prec@1 43.359 (44.620) Prec@5 68.359 (70.248)
Epoch: [35][4380/5005] Time 0.199 (0.224) Data 0.047 (0.077) Loss 2.5634 (2.4552) Prec@1 42.188 (44.618) Prec@5 68.750 (70.250)
Epoch: [35][4390/5005] Time 0.204 (0.224) Data 0.043 (0.077) Loss 2.5779 (2.4551) Prec@1 42.188 (44.620) Prec@5 66.797 (70.252)
Epoch: [35][4400/5005] Time 0.274 (0.224) Data 0.174 (0.077) Loss 2.3713 (2.4551) Prec@1 42.578 (44.618) Prec@5 72.656 (70.252)
Epoch: [35][4410/5005] Time 0.387 (0.224) Data 0.307 (0.077) Loss 2.3680 (2.4550) Prec@1 46.875 (44.621) Prec@5 69.922 (70.252)
Epoch: [35][4420/5005] Time 0.197 (0.224) Data 0.047 (0.077) Loss 2.2369 (2.4549) Prec@1 47.656 (44.621) Prec@5 72.266 (70.252)
Epoch: [35][4430/5005] Time 0.211 (0.224) Data 0.046 (0.077) Loss 2.4866 (2.4547) Prec@1 41.406 (44.623) Prec@5 68.359 (70.253)
Epoch: [35][4440/5005] Time 0.201 (0.224) Data 0.052 (0.077) Loss 2.4929 (2.4546) Prec@1 45.703 (44.624) Prec@5 70.703 (70.256)
Epoch: [35][4450/5005] Time 0.198 (0.224) Data 0.048 (0.077) Loss 2.2675 (2.4546) Prec@1 47.266 (44.625) Prec@5 71.484 (70.255)
Epoch: [35][4460/5005] Time 0.195 (0.224) Data 0.044 (0.077) Loss 2.4263 (2.4543) Prec@1 45.312 (44.629) Prec@5 69.531 (70.258)
Epoch: [35][4470/5005] Time 0.208 (0.224) Data 0.042 (0.077) Loss 2.4342 (2.4544) Prec@1 45.703 (44.626) Prec@5 69.922 (70.259)
Epoch: [35][4480/5005] Time 0.208 (0.224) Data 0.042 (0.077) Loss 2.2414 (2.4545) Prec@1 47.656 (44.625) Prec@5 71.484 (70.257)
Epoch: [35][4490/5005] Time 0.213 (0.224) Data 0.047 (0.077) Loss 2.4509 (2.4546) Prec@1 46.875 (44.623) Prec@5 69.922 (70.254)
Epoch: [35][4500/5005] Time 0.211 (0.224) Data 0.039 (0.077) Loss 2.4266 (2.4546) Prec@1 41.797 (44.626) Prec@5 70.703 (70.254)
Epoch: [35][4510/5005] Time 0.213 (0.224) Data 0.043 (0.077) Loss 2.2320 (2.4547) Prec@1 44.922 (44.624) Prec@5 73.047 (70.254)
Epoch: [35][4520/5005] Time 0.186 (0.224) Data 0.051 (0.077) Loss 2.3980 (2.4546) Prec@1 46.875 (44.626) Prec@5 74.219 (70.256)
Epoch: [35][4530/5005] Time 0.208 (0.224) Data 0.045 (0.077) Loss 2.3364 (2.4545) Prec@1 43.359 (44.627) Prec@5 75.000 (70.259)
Epoch: [35][4540/5005] Time 0.211 (0.224) Data 0.049 (0.077) Loss 2.5037 (2.4547) Prec@1 39.453 (44.625) Prec@5 71.484 (70.258)
Epoch: [35][4550/5005] Time 0.198 (0.224) Data 0.052 (0.077) Loss 2.5449 (2.4546) Prec@1 44.531 (44.627) Prec@5 69.141 (70.259)
Epoch: [35][4560/5005] Time 0.199 (0.224) Data 0.086 (0.077) Loss 2.3990 (2.4546) Prec@1 46.094 (44.627) Prec@5 73.828 (70.261)
Epoch: [35][4570/5005] Time 0.198 (0.224) Data 0.121 (0.077) Loss 2.4929 (2.4545) Prec@1 48.047 (44.630) Prec@5 72.656 (70.264)
Epoch: [35][4580/5005] Time 0.204 (0.224) Data 0.056 (0.077) Loss 2.5375 (2.4543) Prec@1 42.188 (44.634) Prec@5 67.969 (70.265)
Epoch: [35][4590/5005] Time 0.199 (0.224) Data 0.050 (0.077) Loss 2.3536 (2.4544) Prec@1 46.484 (44.636) Prec@5 70.703 (70.265)
Epoch: [35][4600/5005] Time 0.271 (0.224) Data 0.191 (0.077) Loss 2.2900 (2.4545) Prec@1 48.828 (44.637) Prec@5 73.438 (70.263)
Epoch: [35][4610/5005] Time 0.199 (0.224) Data 0.048 (0.077) Loss 2.2376 (2.4544) Prec@1 46.094 (44.638) Prec@5 72.266 (70.264)
Epoch: [35][4620/5005] Time 0.203 (0.224) Data 0.051 (0.077) Loss 2.3435 (2.4544) Prec@1 51.172 (44.638) Prec@5 71.875 (70.264)
Epoch: [35][4630/5005] Time 0.369 (0.224) Data 0.278 (0.077) Loss 2.1909 (2.4542) Prec@1 50.391 (44.638) Prec@5 76.172 (70.270)
Epoch: [35][4640/5005] Time 0.517 (0.224) Data 0.435 (0.077) Loss 2.3703 (2.4541) Prec@1 49.219 (44.638) Prec@5 75.781 (70.273)
Epoch: [35][4650/5005] Time 0.195 (0.224) Data 0.082 (0.077) Loss 2.4115 (2.4540) Prec@1 42.578 (44.638) Prec@5 72.656 (70.274)
Epoch: [35][4660/5005] Time 0.201 (0.224) Data 0.039 (0.077) Loss 2.7707 (2.4540) Prec@1 41.406 (44.640) Prec@5 61.719 (70.274)
Epoch: [35][4670/5005] Time 0.204 (0.224) Data 0.050 (0.077) Loss 2.3307 (2.4539) Prec@1 45.703 (44.642) Prec@5 72.656 (70.275)
Epoch: [35][4680/5005] Time 0.209 (0.224) Data 0.045 (0.077) Loss 2.2126 (2.4537) Prec@1 48.047 (44.645) Prec@5 75.000 (70.277)
Epoch: [35][4690/5005] Time 0.201 (0.224) Data 0.044 (0.077) Loss 2.5253 (2.4537) Prec@1 41.797 (44.642) Prec@5 68.750 (70.277)
Epoch: [35][4700/5005] Time 0.206 (0.224) Data 0.047 (0.077) Loss 2.2831 (2.4537) Prec@1 46.875 (44.645) Prec@5 74.219 (70.277)
Epoch: [35][4710/5005] Time 0.274 (0.224) Data 0.186 (0.077) Loss 2.2937 (2.4535) Prec@1 45.312 (44.648) Prec@5 72.656 (70.279)
Epoch: [35][4720/5005] Time 0.225 (0.224) Data 0.140 (0.077) Loss 2.3248 (2.4535) Prec@1 46.484 (44.646) Prec@5 75.781 (70.279)
Epoch: [35][4730/5005] Time 0.206 (0.224) Data 0.055 (0.077) Loss 2.2682 (2.4536) Prec@1 44.531 (44.643) Prec@5 74.609 (70.277)
Epoch: [35][4740/5005] Time 0.211 (0.224) Data 0.052 (0.077) Loss 2.4381 (2.4535) Prec@1 45.312 (44.644) Prec@5 71.484 (70.277)
Epoch: [35][4750/5005] Time 0.208 (0.224) Data 0.045 (0.077) Loss 2.3285 (2.4535) Prec@1 48.047 (44.643) Prec@5 71.484 (70.278)
Epoch: [35][4760/5005] Time 0.204 (0.224) Data 0.051 (0.077) Loss 2.6719 (2.4533) Prec@1 41.016 (44.647) Prec@5 70.312 (70.281)
Epoch: [35][4770/5005] Time 0.201 (0.224) Data 0.046 (0.077) Loss 2.3129 (2.4533) Prec@1 53.906 (44.648) Prec@5 71.484 (70.281)
Epoch: [35][4780/5005] Time 0.194 (0.224) Data 0.048 (0.077) Loss 2.5148 (2.4533) Prec@1 44.922 (44.650) Prec@5 71.875 (70.282)
Epoch: [35][4790/5005] Time 0.194 (0.224) Data 0.052 (0.078) Loss 2.6691 (2.4533) Prec@1 41.797 (44.654) Prec@5 66.406 (70.282)
Epoch: [35][4800/5005] Time 0.246 (0.224) Data 0.161 (0.078) Loss 2.5519 (2.4531) Prec@1 43.750 (44.653) Prec@5 66.406 (70.284)
Epoch: [35][4810/5005] Time 0.203 (0.224) Data 0.049 (0.078) Loss 2.6051 (2.4531) Prec@1 41.797 (44.653) Prec@5 66.406 (70.285)
Epoch: [35][4820/5005] Time 0.205 (0.224) Data 0.042 (0.078) Loss 2.5646 (2.4530) Prec@1 42.188 (44.657) Prec@5 66.406 (70.286)
Epoch: [35][4830/5005] Time 0.518 (0.224) Data 0.423 (0.078) Loss 2.4607 (2.4528) Prec@1 42.969 (44.660) Prec@5 70.703 (70.290)
Epoch: [35][4840/5005] Time 0.319 (0.224) Data 0.235 (0.078) Loss 2.2231 (2.4528) Prec@1 47.656 (44.660) Prec@5 74.219 (70.290)
Epoch: [35][4850/5005] Time 0.264 (0.224) Data 0.172 (0.078) Loss 2.5471 (2.4530) Prec@1 41.406 (44.656) Prec@5 69.141 (70.287)
Epoch: [35][4860/5005] Time 0.197 (0.224) Data 0.051 (0.078) Loss 2.4391 (2.4528) Prec@1 44.531 (44.658) Prec@5 73.438 (70.289)
Epoch: [35][4870/5005] Time 0.197 (0.224) Data 0.045 (0.078) Loss 2.4019 (2.4528) Prec@1 45.312 (44.660) Prec@5 70.312 (70.290)
Epoch: [35][4880/5005] Time 0.574 (0.224) Data 0.496 (0.078) Loss 2.2955 (2.4527) Prec@1 48.047 (44.664) Prec@5 71.094 (70.290)
Epoch: [35][4890/5005] Time 0.208 (0.224) Data 0.122 (0.078) Loss 2.5881 (2.4527) Prec@1 41.016 (44.662) Prec@5 66.016 (70.292)
Epoch: [35][4900/5005] Time 0.203 (0.224) Data 0.063 (0.078) Loss 2.2641 (2.4526) Prec@1 45.703 (44.663) Prec@5 71.875 (70.292)
Epoch: [35][4910/5005] Time 0.196 (0.224) Data 0.047 (0.078) Loss 2.4558 (2.4524) Prec@1 44.141 (44.666) Prec@5 71.484 (70.298)
Epoch: [35][4920/5005] Time 0.206 (0.224) Data 0.044 (0.078) Loss 2.5557 (2.4524) Prec@1 40.234 (44.666) Prec@5 65.625 (70.296)
Epoch: [35][4930/5005] Time 0.198 (0.224) Data 0.046 (0.078) Loss 2.3950 (2.4523) Prec@1 45.312 (44.666) Prec@5 68.359 (70.299)
Epoch: [35][4940/5005] Time 0.211 (0.224) Data 0.042 (0.078) Loss 2.4466 (2.4522) Prec@1 48.438 (44.668) Prec@5 67.969 (70.298)
Epoch: [35][4950/5005] Time 0.208 (0.224) Data 0.044 (0.078) Loss 2.1492 (2.4522) Prec@1 48.438 (44.666) Prec@5 77.734 (70.298)
Epoch: [35][4960/5005] Time 0.206 (0.224) Data 0.051 (0.078) Loss 2.5365 (2.4522) Prec@1 46.094 (44.667) Prec@5 72.656 (70.300)
Epoch: [35][4970/5005] Time 0.211 (0.224) Data 0.048 (0.078) Loss 2.6354 (2.4521) Prec@1 42.578 (44.669) Prec@5 69.141 (70.300)
Epoch: [35][4980/5005] Time 0.196 (0.224) Data 0.051 (0.078) Loss 2.4317 (2.4519) Prec@1 46.875 (44.672) Prec@5 74.609 (70.304)
Epoch: [35][4990/5005] Time 0.193 (0.224) Data 0.037 (0.078) Loss 2.5872 (2.4518) Prec@1 41.406 (44.673) Prec@5 66.016 (70.305)
Epoch: [35][5000/5005] Time 0.202 (0.224) Data 0.024 (0.078) Loss 2.5426 (2.4518) Prec@1 41.016 (44.673) Prec@5 66.016 (70.304)
Test: [0/196] Time 3.050 (3.050) Loss 2.4585 (2.4585) Prec@1 47.656 (47.656) Prec@5 68.750 (68.750)
Test: [10/196] Time 0.043 (0.411) Loss 2.5381 (2.6238) Prec@1 49.219 (43.182) Prec@5 67.188 (67.507)
Test: [20/196] Time 0.190 (0.317) Loss 2.4848 (2.6284) Prec@1 45.703 (42.894) Prec@5 72.656 (67.429)
Test: [30/196] Time 0.042 (0.277) Loss 2.4841 (2.6329) Prec@1 41.406 (42.477) Prec@5 70.312 (67.654)
Test: [40/196] Time 1.328 (0.289) Loss 2.3894 (2.6313) Prec@1 49.609 (42.435) Prec@5 72.266 (67.702)
Test: [50/196] Time 0.044 (0.272) Loss 2.6424 (2.6359) Prec@1 45.312 (42.517) Prec@5 69.141 (67.892)
Test: [60/196] Time 0.043 (0.257) Loss 2.5516 (2.6228) Prec@1 46.875 (42.777) Prec@5 70.703 (67.911)
Test: [70/196] Time 0.231 (0.251) Loss 2.5953 (2.6154) Prec@1 46.875 (42.908) Prec@5 66.016 (68.029)
Test: [80/196] Time 0.643 (0.253) Loss 2.4613 (2.6212) Prec@1 50.391 (42.834) Prec@5 72.266 (67.959)
Test: [90/196] Time 0.139 (0.245) Loss 2.6903 (2.6218) Prec@1 43.750 (42.849) Prec@5 66.797 (67.904)
Test: [100/196] Time 0.141 (0.244) Loss 2.6970 (2.6195) Prec@1 46.094 (43.027) Prec@5 64.453 (67.922)
Test: [110/196] Time 0.042 (0.239) Loss 2.8113 (2.6213) Prec@1 41.016 (43.092) Prec@5 63.281 (67.965)
Test: [120/196] Time 0.172 (0.242) Loss 2.4825 (2.6181) Prec@1 43.750 (43.150) Prec@5 70.703 (67.991)
Test: [130/196] Time 0.043 (0.238) Loss 2.2739 (2.6150) Prec@1 47.266 (43.189) Prec@5 74.609 (68.061)
Test: [140/196] Time 0.263 (0.237) Loss 2.4294 (2.6156) Prec@1 47.656 (43.124) Prec@5 67.578 (68.071)
Test: [150/196] Time 0.430 (0.237) Loss 2.2531 (2.6135) Prec@1 46.094 (43.189) Prec@5 77.344 (68.163)
Test: [160/196] Time 0.810 (0.239) Loss 2.5979 (2.6124) Prec@1 44.141 (43.202) Prec@5 69.531 (68.221)
Test: [170/196] Time 0.165 (0.235) Loss 2.4694 (2.6134) Prec@1 44.531 (43.197) Prec@5 71.484 (68.204)
Test: [180/196] Time 0.763 (0.236) Loss 2.8225 (2.6182) Prec@1 37.109 (43.120) Prec@5 62.891 (68.107)
Test: [190/196] Time 0.282 (0.234) Loss 2.8395 (2.6206) Prec@1 40.234 (43.046) Prec@5 64.062 (68.044)
* Prec@1 43.030 Prec@5 68.052
Learning rate: 0.0001
Epoch: [36][0/5005] Time 2.241 (2.241) Data 2.154 (2.154) Loss 2.4052 (2.4052) Prec@1 47.656 (47.656) Prec@5 70.312 (70.312)
Epoch: [36][10/5005] Time 0.205 (0.386) Data 0.042 (0.242) Loss 2.4733 (2.4387) Prec@1 45.703 (44.460) Prec@5 69.531 (71.094)
Epoch: [36][20/5005] Time 0.210 (0.297) Data 0.045 (0.150) Loss 2.5937 (2.4610) Prec@1 42.578 (44.010) Prec@5 66.406 (70.592)
Epoch: [36][30/5005] Time 0.204 (0.266) Data 0.049 (0.117) Loss 2.3433 (2.4371) Prec@1 45.703 (44.279) Prec@5 70.703 (70.628)
Epoch: [36][40/5005] Time 0.196 (0.249) Data 0.044 (0.101) Loss 2.3433 (2.4498) Prec@1 43.750 (44.179) Prec@5 68.750 (70.446)
Epoch: [36][50/5005] Time 0.191 (0.239) Data 0.051 (0.092) Loss 2.4106 (2.4537) Prec@1 41.016 (44.072) Prec@5 74.219 (70.389)
Epoch: [36][60/5005] Time 0.196 (0.233) Data 0.045 (0.085) Loss 2.3797 (2.4494) Prec@1 44.141 (44.249) Prec@5 75.391 (70.473)
Epoch: [36][70/5005] Time 0.201 (0.228) Data 0.053 (0.080) Loss 2.3239 (2.4560) Prec@1 45.703 (44.262) Prec@5 75.781 (70.318)
Epoch: [36][80/5005] Time 0.192 (0.228) Data 0.044 (0.076) Loss 2.4315 (2.4503) Prec@1 43.359 (44.391) Prec@5 73.828 (70.491)
Epoch: [36][90/5005] Time 0.194 (0.225) Data 0.048 (0.073) Loss 2.4629 (2.4515) Prec@1 47.266 (44.480) Prec@5 73.438 (70.506)
Epoch: [36][100/5005] Time 0.202 (0.223) Data 0.050 (0.070) Loss 2.2704 (2.4519) Prec@1 46.484 (44.435) Prec@5 73.828 (70.487)
Epoch: [36][110/5005] Time 0.198 (0.221) Data 0.065 (0.068) Loss 2.4057 (2.4529) Prec@1 47.656 (44.605) Prec@5 73.047 (70.510)
Epoch: [36][120/5005] Time 0.199 (0.219) Data 0.048 (0.066) Loss 2.4274 (2.4573) Prec@1 42.188 (44.609) Prec@5 70.312 (70.409)
Epoch: [36][130/5005] Time 0.206 (0.218) Data 0.045 (0.065) Loss 2.5567 (2.4586) Prec@1 41.797 (44.564) Prec@5 68.359 (70.366)
Epoch: [36][140/5005] Time 0.194 (0.219) Data 0.047 (0.065) Loss 2.5543 (2.4547) Prec@1 43.750 (44.592) Prec@5 67.969 (70.432)
Epoch: [36][150/5005] Time 0.200 (0.220) Data 0.064 (0.067) Loss 2.5771 (2.4549) Prec@1 44.141 (44.591) Prec@5 67.188 (70.460)
Epoch: [36][160/5005] Time 0.309 (0.222) Data 0.220 (0.070) Loss 2.4457 (2.4578) Prec@1 46.484 (44.509) Prec@5 68.359 (70.436)
Epoch: [36][170/5005] Time 0.209 (0.222) Data 0.043 (0.071) Loss 2.5852 (2.4591) Prec@1 42.188 (44.499) Prec@5 67.578 (70.372)
Epoch: [36][180/5005] Time 0.208 (0.222) Data 0.079 (0.071) Loss 2.7488 (2.4620) Prec@1 43.359 (44.451) Prec@5 67.188 (70.351)
Epoch: [36][190/5005] Time 0.214 (0.224) Data 0.048 (0.075) Loss 2.5389 (2.4664) Prec@1 43.359 (44.327) Prec@5 71.484 (70.323)
Epoch: [36][200/5005] Time 0.206 (0.225) Data 0.107 (0.076) Loss 2.7495 (2.4690) Prec@1 44.141 (44.327) Prec@5 64.453 (70.279)
Epoch: [36][210/5005] Time 0.210 (0.227) Data 0.046 (0.077) Loss 2.2886 (2.4685) Prec@1 50.391 (44.342) Prec@5 71.875 (70.281)
Epoch: [36][220/5005] Time 0.215 (0.226) Data 0.042 (0.076) Loss 2.4422 (2.4697) Prec@1 42.578 (44.349) Prec@5 70.312 (70.242)
Epoch: [36][230/5005] Time 0.204 (0.227) Data 0.056 (0.077) Loss 2.5861 (2.4705) Prec@1 44.141 (44.347) Prec@5 67.188 (70.267)
Epoch: [36][240/5005] Time 0.210 (0.227) Data 0.043 (0.077) Loss 2.3438 (2.4690) Prec@1 48.438 (44.332) Prec@5 71.875 (70.287)
Epoch: [36][250/5005] Time 0.199 (0.227) Data 0.093 (0.077) Loss 2.5613 (2.4683) Prec@1 41.406 (44.355) Prec@5 69.531 (70.317)
Epoch: [36][260/5005] Time 0.208 (0.227) Data 0.058 (0.077) Loss 2.2561 (2.4681) Prec@1 47.266 (44.377) Prec@5 74.219 (70.323)
Epoch: [36][270/5005] Time 0.201 (0.228) Data 0.045 (0.079) Loss 2.4647 (2.4675) Prec@1 45.703 (44.386) Prec@5 69.922 (70.314)
Epoch: [36][280/5005] Time 0.200 (0.229) Data 0.044 (0.080) Loss 2.9610 (2.4700) Prec@1 36.719 (44.335) Prec@5 60.156 (70.229)
Epoch: [36][290/5005] Time 0.206 (0.229) Data 0.046 (0.080) Loss 2.3262 (2.4708) Prec@1 45.703 (44.300) Prec@5 69.141 (70.186)
Epoch: [36][300/5005] Time 0.216 (0.229) Data 0.047 (0.079) Loss 2.2760 (2.4718) Prec@1 48.828 (44.335) Prec@5 74.609 (70.159)
Epoch: [36][310/5005] Time 0.209 (0.230) Data 0.045 (0.080) Loss 2.3775 (2.4704) Prec@1 45.703 (44.329) Prec@5 71.484 (70.173)
Epoch: [36][320/5005] Time 0.196 (0.231) Data 0.046 (0.081) Loss 2.7165 (2.4714) Prec@1 36.719 (44.324) Prec@5 69.531 (70.188)
Epoch: [36][330/5005] Time 0.208 (0.230) Data 0.093 (0.081) Loss 2.1271 (2.4689) Prec@1 48.828 (44.374) Prec@5 76.172 (70.207)
Epoch: [36][340/5005] Time 0.413 (0.232) Data 0.328 (0.083) Loss 2.6607 (2.4718) Prec@1 44.141 (44.347) Prec@5 66.797 (70.159)
Epoch: [36][350/5005] Time 0.203 (0.232) Data 0.054 (0.084) Loss 2.6463 (2.4713) Prec@1 42.188 (44.358) Prec@5 64.062 (70.142)
Epoch: [36][360/5005] Time 0.205 (0.231) Data 0.043 (0.083) Loss 2.5710 (2.4710) Prec@1 42.578 (44.379) Prec@5 68.750 (70.113)
Epoch: [36][370/5005] Time 0.206 (0.231) Data 0.042 (0.082) Loss 2.4814 (2.4685) Prec@1 41.406 (44.386) Prec@5 68.359 (70.134)
Epoch: [36][380/5005] Time 0.215 (0.230) Data 0.041 (0.081) Loss 2.5423 (2.4694) Prec@1 43.359 (44.347) Prec@5 66.797 (70.114)
Epoch: [36][390/5005] Time 0.213 (0.230) Data 0.043 (0.080) Loss 2.5143 (2.4696) Prec@1 45.703 (44.357) Prec@5 73.438 (70.097)
Epoch: [36][400/5005] Time 0.224 (0.229) Data 0.042 (0.079) Loss 2.1881 (2.4679) Prec@1 50.391 (44.373) Prec@5 73.828 (70.110)
Epoch: [36][410/5005] Time 0.220 (0.229) Data 0.042 (0.078) Loss 2.3298 (2.4683) Prec@1 48.438 (44.376) Prec@5 74.609 (70.126)
Epoch: [36][420/5005] Time 0.225 (0.229) Data 0.042 (0.077) Loss 2.3440 (2.4671) Prec@1 46.875 (44.415) Prec@5 71.875 (70.157)
Epoch: [36][430/5005] Time 0.220 (0.228) Data 0.044 (0.076) Loss 2.2981 (2.4670) Prec@1 46.094 (44.398) Prec@5 72.656 (70.152)
Epoch: [36][440/5005] Time 0.218 (0.228) Data 0.043 (0.075) Loss 2.3257 (2.4656) Prec@1 45.703 (44.404) Prec@5 72.266 (70.168)
Epoch: [36][450/5005] Time 0.223 (0.228) Data 0.042 (0.075) Loss 2.2800 (2.4662) Prec@1 46.484 (44.398) Prec@5 69.531 (70.157)
Epoch: [36][460/5005] Time 0.223 (0.228) Data 0.042 (0.074) Loss 2.5605 (2.4668) Prec@1 41.406 (44.374) Prec@5 66.797 (70.142)
Epoch: [36][470/5005] Time 0.221 (0.227) Data 0.049 (0.073) Loss 2.4593 (2.4680) Prec@1 45.703 (44.373) Prec@5 70.312 (70.119)
Epoch: [36][480/5005] Time 0.217 (0.227) Data 0.049 (0.073) Loss 2.4099 (2.4675) Prec@1 45.312 (44.371) Prec@5 70.703 (70.123)
Epoch: [36][490/5005] Time 0.208 (0.227) Data 0.064 (0.072) Loss 2.3765 (2.4671) Prec@1 50.781 (44.372) Prec@5 71.875 (70.130)
Epoch: [36][500/5005] Time 0.211 (0.227) Data 0.043 (0.072) Loss 2.5674 (2.4685) Prec@1 48.047 (44.399) Prec@5 66.016 (70.097)
Epoch: [36][510/5005] Time 0.211 (0.227) Data 0.050 (0.072) Loss 2.6759 (2.4689) Prec@1 40.234 (44.391) Prec@5 64.844 (70.082)
Epoch: [36][520/5005] Time 0.210 (0.226) Data 0.046 (0.071) Loss 2.4178 (2.4683) Prec@1 42.969 (44.393) Prec@5 68.750 (70.085)
Epoch: [36][530/5005] Time 0.207 (0.226) Data 0.044 (0.071) Loss 2.4404 (2.4692) Prec@1 41.406 (44.355) Prec@5 70.312 (70.058)
Epoch: [36][540/5005] Time 0.207 (0.226) Data 0.056 (0.070) Loss 2.6363 (2.4702) Prec@1 44.141 (44.345) Prec@5 66.797 (70.037)
Epoch: [36][550/5005] Time 0.208 (0.225) Data 0.056 (0.070) Loss 2.4444 (2.4695) Prec@1 41.016 (44.339) Prec@5 71.094 (70.047)
Epoch: [36][560/5005] Time 0.214 (0.225) Data 0.047 (0.070) Loss 2.6720 (2.4696) Prec@1 42.188 (44.348) Prec@5 67.578 (70.054)
Epoch: [36][570/5005] Time 0.216 (0.225) Data 0.048 (0.069) Loss 2.5617 (2.4704) Prec@1 41.797 (44.320) Prec@5 68.750 (70.043)
Epoch: [36][580/5005] Time 0.204 (0.225) Data 0.040 (0.069) Loss 2.4469 (2.4698) Prec@1 44.141 (44.326) Prec@5 71.875 (70.052)
Epoch: [36][590/5005] Time 0.201 (0.224) Data 0.053 (0.068) Loss 2.5955 (2.4697) Prec@1 45.312 (44.338) Prec@5 68.359 (70.049)
Epoch: [36][600/5005] Time 0.212 (0.224) Data 0.041 (0.068) Loss 2.4403 (2.4709) Prec@1 43.359 (44.323) Prec@5 71.484 (70.036)
Epoch: [36][610/5005] Time 0.203 (0.224) Data 0.057 (0.068) Loss 2.3847 (2.4712) Prec@1 40.625 (44.323) Prec@5 72.266 (70.047)
Epoch: [36][620/5005] Time 0.199 (0.224) Data 0.041 (0.067) Loss 2.4980 (2.4708) Prec@1 43.359 (44.347) Prec@5 65.625 (70.048)
Epoch: [36][630/5005] Time 0.218 (0.224) Data 0.041 (0.067) Loss 2.7914 (2.4713) Prec@1 37.891 (44.349) Prec@5 66.016 (70.033)
Epoch: [36][640/5005] Time 0.207 (0.223) Data 0.048 (0.067) Loss 2.2914 (2.4706) Prec@1 48.828 (44.360) Prec@5 73.828 (70.041)
Epoch: [36][650/5005] Time 0.213 (0.223) Data 0.047 (0.066) Loss 2.6170 (2.4711) Prec@1 36.328 (44.345) Prec@5 68.359 (70.030)
Epoch: [36][660/5005] Time 0.217 (0.223) Data 0.048 (0.066) Loss 2.5876 (2.4705) Prec@1 43.359 (44.361) Prec@5 68.750 (70.037)
Epoch: [36][670/5005] Time 0.210 (0.223) Data 0.043 (0.066) Loss 2.7267 (2.4708) Prec@1 38.281 (44.350) Prec@5 68.750 (70.030)
Epoch: [36][680/5005] Time 0.215 (0.223) Data 0.053 (0.065) Loss 2.4605 (2.4706) Prec@1 46.484 (44.352) Prec@5 71.875 (70.045)
Epoch: [36][690/5005] Time 0.211 (0.223) Data 0.042 (0.065) Loss 2.2900 (2.4703) Prec@1 44.922 (44.352) Prec@5 76.172 (70.056)
Epoch: [36][700/5005] Time 0.213 (0.222) Data 0.041 (0.065) Loss 2.4648 (2.4697) Prec@1 42.969 (44.364) Prec@5 70.312 (70.053)
Epoch: [36][710/5005] Time 0.220 (0.222) Data 0.043 (0.065) Loss 2.3291 (2.4698) Prec@1 42.969 (44.353) Prec@5 72.656 (70.053)
Epoch: [36][720/5005] Time 0.217 (0.222) Data 0.044 (0.064) Loss 2.4004 (2.4692) Prec@1 48.047 (44.376) Prec@5 72.266 (70.057)
Epoch: [36][730/5005] Time 0.207 (0.222) Data 0.045 (0.064) Loss 2.4926 (2.4694) Prec@1 42.969 (44.374) Prec@5 73.438 (70.053)
Epoch: [36][740/5005] Time 0.212 (0.222) Data 0.046 (0.064) Loss 2.6255 (2.4693) Prec@1 37.891 (44.376) Prec@5 68.359 (70.052)
Epoch: [36][750/5005] Time 0.209 (0.222) Data 0.043 (0.064) Loss 2.2930 (2.4689) Prec@1 50.781 (44.380) Prec@5 75.391 (70.068)
Epoch: [36][760/5005] Time 0.205 (0.222) Data 0.043 (0.063) Loss 2.5169 (2.4691) Prec@1 44.141 (44.370) Prec@5 71.875 (70.060)
Epoch: [36][770/5005] Time 0.208 (0.221) Data 0.046 (0.063) Loss 2.4666 (2.4680) Prec@1 44.922 (44.402) Prec@5 69.141 (70.067)
Epoch: [36][780/5005] Time 0.215 (0.221) Data 0.047 (0.063) Loss 2.4925 (2.4680) Prec@1 42.969 (44.415) Prec@5 69.531 (70.067)
Epoch: [36][790/5005] Time 0.207 (0.221) Data 0.049 (0.063) Loss 2.4578 (2.4676) Prec@1 45.703 (44.427) Prec@5 70.312 (70.071)
Epoch: [36][800/5005] Time 0.215 (0.221) Data 0.047 (0.062) Loss 2.2401 (2.4666) Prec@1 46.484 (44.444) Prec@5 72.656 (70.079)
Epoch: [36][810/5005] Time 0.192 (0.221) Data 0.048 (0.063) Loss 2.6300 (2.4669) Prec@1 40.625 (44.443) Prec@5 68.750 (70.074)
Epoch: [36][820/5005] Time 0.206 (0.221) Data 0.045 (0.063) Loss 2.5633 (2.4673) Prec@1 41.797 (44.431) Prec@5 69.922 (70.067)
Epoch: [36][830/5005] Time 0.252 (0.221) Data 0.169 (0.063) Loss 2.4532 (2.4674) Prec@1 44.141 (44.426) Prec@5 71.484 (70.073)
Epoch: [36][840/5005] Time 0.208 (0.221) Data 0.045 (0.063) Loss 2.2990 (2.4676) Prec@1 49.609 (44.430) Prec@5 69.922 (70.073)
Epoch: [36][850/5005] Time 0.201 (0.221) Data 0.045 (0.063) Loss 2.6082 (2.4670) Prec@1 37.891 (44.439) Prec@5 68.750 (70.078)
Epoch: [36][860/5005] Time 0.198 (0.221) Data 0.053 (0.063) Loss 2.4675 (2.4671) Prec@1 43.750 (44.455) Prec@5 67.969 (70.070)
Epoch: [36][870/5005] Time 0.199 (0.221) Data 0.050 (0.063) Loss 2.3867 (2.4664) Prec@1 47.656 (44.480) Prec@5 71.875 (70.077)
Epoch: [36][880/5005] Time 0.208 (0.221) Data 0.100 (0.063) Loss 2.3715 (2.4671) Prec@1 42.188 (44.482) Prec@5 70.703 (70.063)
Epoch: [36][890/5005] Time 0.200 (0.221) Data 0.052 (0.064) Loss 2.7579 (2.4672) Prec@1 38.672 (44.478) Prec@5 66.016 (70.054)
Epoch: [36][900/5005] Time 0.206 (0.221) Data 0.042 (0.064) Loss 2.2806 (2.4667) Prec@1 48.047 (44.477) Prec@5 74.609 (70.070)
Epoch: [36][910/5005] Time 0.290 (0.221) Data 0.206 (0.064) Loss 2.4074 (2.4663) Prec@1 42.188 (44.479) Prec@5 71.094 (70.077)
Epoch: [36][920/5005] Time 0.201 (0.222) Data 0.043 (0.065) Loss 2.4862 (2.4656) Prec@1 47.266 (44.506) Prec@5 69.922 (70.092)
Epoch: [36][930/5005] Time 0.205 (0.222) Data 0.040 (0.065) Loss 2.3658 (2.4646) Prec@1 48.047 (44.535) Prec@5 71.484 (70.101)
Epoch: [36][940/5005] Time 0.203 (0.223) Data 0.043 (0.066) Loss 2.4506 (2.4652) Prec@1 41.797 (44.514) Prec@5 71.875 (70.095)
Epoch: [36][950/5005] Time 0.603 (0.223) Data 0.524 (0.066) Loss 2.5186 (2.4661) Prec@1 44.922 (44.513) Prec@5 69.922 (70.079)
Epoch: [36][960/5005] Time 0.195 (0.223) Data 0.050 (0.066) Loss 2.6825 (2.4663) Prec@1 42.969 (44.517) Prec@5 65.625 (70.080)
Epoch: [36][970/5005] Time 0.205 (0.223) Data 0.048 (0.066) Loss 2.2978 (2.4665) Prec@1 45.312 (44.510) Prec@5 69.922 (70.065)
Epoch: [36][980/5005] Time 0.198 (0.223) Data 0.061 (0.067) Loss 2.3608 (2.4659) Prec@1 44.531 (44.516) Prec@5 72.656 (70.071)
Epoch: [36][990/5005] Time 0.211 (0.223) Data 0.040 (0.067) Loss 2.5615 (2.4665) Prec@1 39.844 (44.494) Prec@5 64.844 (70.059)
Epoch: [36][1000/5005] Time 0.212 (0.223) Data 0.042 (0.066) Loss 2.4795 (2.4663) Prec@1 45.312 (44.488) Prec@5 70.703 (70.060)
Epoch: [36][1010/5005] Time 0.215 (0.223) Data 0.048 (0.066) Loss 2.4376 (2.4661) Prec@1 42.969 (44.496) Prec@5 69.141 (70.053)
Epoch: [36][1020/5005] Time 0.212 (0.223) Data 0.051 (0.066) Loss 2.3243 (2.4664) Prec@1 45.312 (44.483) Prec@5 76.172 (70.057)
Epoch: [36][1030/5005] Time 0.208 (0.222) Data 0.041 (0.066) Loss 2.3482 (2.4660) Prec@1 45.703 (44.482) Prec@5 72.266 (70.065)
Epoch: [36][1040/5005] Time 0.216 (0.222) Data 0.042 (0.066) Loss 2.5720 (2.4661) Prec@1 44.531 (44.477) Prec@5 68.750 (70.062)
Epoch: [36][1050/5005] Time 0.210 (0.222) Data 0.040 (0.065) Loss 2.6377 (2.4665) Prec@1 44.922 (44.464) Prec@5 66.016 (70.055)
Epoch: [36][1060/5005] Time 0.209 (0.222) Data 0.041 (0.065) Loss 2.5014 (2.4668) Prec@1 42.969 (44.451) Prec@5 69.141 (70.059)
Epoch: [36][1070/5005] Time 0.217 (0.222) Data 0.041 (0.065) Loss 2.4449 (2.4670) Prec@1 43.750 (44.450) Prec@5 71.484 (70.059)
Epoch: [36][1080/5005] Time 0.222 (0.222) Data 0.045 (0.065) Loss 2.4788 (2.4672) Prec@1 43.750 (44.452) Prec@5 71.484 (70.058)
Epoch: [36][1090/5005] Time 0.209 (0.222) Data 0.048 (0.065) Loss 2.2808 (2.4669) Prec@1 44.922 (44.462) Prec@5 71.094 (70.066)
Epoch: [36][1100/5005] Time 0.207 (0.222) Data 0.040 (0.065) Loss 2.4133 (2.4663) Prec@1 48.047 (44.476) Prec@5 69.531 (70.073)
Epoch: [36][1110/5005] Time 0.214 (0.222) Data 0.060 (0.064) Loss 2.6058 (2.4661) Prec@1 41.406 (44.488) Prec@5 68.359 (70.082)
Epoch: [36][1120/5005] Time 0.214 (0.221) Data 0.045 (0.064) Loss 2.4385 (2.4654) Prec@1 45.703 (44.495) Prec@5 69.531 (70.101)
Epoch: [36][1130/5005] Time 0.216 (0.221) Data 0.043 (0.064) Loss 2.5624 (2.4658) Prec@1 45.312 (44.493) Prec@5 70.703 (70.098)
Epoch: [36][1140/5005] Time 0.204 (0.221) Data 0.063 (0.064) Loss 2.4622 (2.4655) Prec@1 45.312 (44.500) Prec@5 68.359 (70.105)
Epoch: [36][1150/5005] Time 0.208 (0.221) Data 0.089 (0.064) Loss 2.3275 (2.4647) Prec@1 42.969 (44.509) Prec@5 72.266 (70.119)
Epoch: [36][1160/5005] Time 0.213 (0.221) Data 0.046 (0.064) Loss 2.5111 (2.4647) Prec@1 39.844 (44.506) Prec@5 70.703 (70.114)
Epoch: [36][1170/5005] Time 0.209 (0.221) Data 0.046 (0.063) Loss 2.3756 (2.4644) Prec@1 44.531 (44.507) Prec@5 72.266 (70.117)
Epoch: [36][1180/5005] Time 0.213 (0.221) Data 0.045 (0.063) Loss 2.4337 (2.4645) Prec@1 42.188 (44.497) Prec@5 69.922 (70.117)
Epoch: [36][1190/5005] Time 0.209 (0.221) Data 0.043 (0.063) Loss 2.3353 (2.4639) Prec@1 45.312 (44.514) Prec@5 69.922 (70.132)
Epoch: [36][1200/5005] Time 0.243 (0.221) Data 0.156 (0.064) Loss 2.5878 (2.4639) Prec@1 39.062 (44.502) Prec@5 66.406 (70.143)
Epoch: [36][1210/5005] Time 0.206 (0.221) Data 0.051 (0.064) Loss 2.5748 (2.4643) Prec@1 39.844 (44.493) Prec@5 70.312 (70.145)
Epoch: [36][1220/5005] Time 0.210 (0.221) Data 0.041 (0.064) Loss 2.4261 (2.4646) Prec@1 46.484 (44.487) Prec@5 71.094 (70.142)
Epoch: [36][1230/5005] Time 0.198 (0.221) Data 0.081 (0.064) Loss 2.4144 (2.4646) Prec@1 42.969 (44.482) Prec@5 71.094 (70.146)
Epoch: [36][1240/5005] Time 0.549 (0.221) Data 0.462 (0.065) Loss 2.5044 (2.4646) Prec@1 43.359 (44.483) Prec@5 69.922 (70.143)
Epoch: [36][1250/5005] Time 0.214 (0.221) Data 0.046 (0.065) Loss 2.8297 (2.4650) Prec@1 37.891 (44.466) Prec@5 64.453 (70.132)
Epoch: [36][1260/5005] Time 0.218 (0.221) Data 0.040 (0.065) Loss 2.0937 (2.4642) Prec@1 50.391 (44.475) Prec@5 76.562 (70.146)
Epoch: [36][1270/5005] Time 0.512 (0.221) Data 0.424 (0.065) Loss 2.3762 (2.4645) Prec@1 46.484 (44.469) Prec@5 71.875 (70.137)
Epoch: [36][1280/5005] Time 0.202 (0.221) Data 0.050 (0.065) Loss 2.3903 (2.4649) Prec@1 48.047 (44.464) Prec@5 69.531 (70.126)
Epoch: [36][1290/5005] Time 0.198 (0.222) Data 0.048 (0.066) Loss 2.2469 (2.4646) Prec@1 51.172 (44.476) Prec@5 73.828 (70.130)
Epoch: [36][1300/5005] Time 0.209 (0.222) Data 0.047 (0.066) Loss 2.3088 (2.4644) Prec@1 47.266 (44.475) Prec@5 69.531 (70.127)
Epoch: [36][1310/5005] Time 0.345 (0.222) Data 0.258 (0.066) Loss 2.5004 (2.4643) Prec@1 44.922 (44.474) Prec@5 69.141 (70.131)
Epoch: [36][1320/5005] Time 0.204 (0.222) Data 0.099 (0.066) Loss 2.5086 (2.4643) Prec@1 45.703 (44.472) Prec@5 68.750 (70.130)
Epoch: [36][1330/5005] Time 0.201 (0.221) Data 0.093 (0.066) Loss 2.4640 (2.4646) Prec@1 43.750 (44.452) Prec@5 70.312 (70.126)
Epoch: [36][1340/5005] Time 0.208 (0.221) Data 0.049 (0.066) Loss 2.4378 (2.4644) Prec@1 45.703 (44.458) Prec@5 71.875 (70.126)
Epoch: [36][1350/5005] Time 0.204 (0.221) Data 0.039 (0.066) Loss 2.8678 (2.4646) Prec@1 39.062 (44.452) Prec@5 67.188 (70.127)
Epoch: [36][1360/5005] Time 0.210 (0.222) Data 0.044 (0.066) Loss 2.3695 (2.4643) Prec@1 46.484 (44.458) Prec@5 69.922 (70.133)
Epoch: [36][1370/5005] Time 0.205 (0.222) Data 0.044 (0.066) Loss 2.5464 (2.4641) Prec@1 42.578 (44.456) Prec@5 69.141 (70.133)
Epoch: [36][1380/5005] Time 0.201 (0.222) Data 0.040 (0.066) Loss 2.3937 (2.4639) Prec@1 47.656 (44.466) Prec@5 72.266 (70.135)
Epoch: [36][1390/5005] Time 0.200 (0.221) Data 0.043 (0.066) Loss 2.3719 (2.4642) Prec@1 48.047 (44.470) Prec@5 73.047 (70.131)
Epoch: [36][1400/5005] Time 0.216 (0.222) Data 0.045 (0.067) Loss 2.4087 (2.4635) Prec@1 46.484 (44.484) Prec@5 71.094 (70.144)
Epoch: [36][1410/5005] Time 0.199 (0.222) Data 0.046 (0.067) Loss 2.4155 (2.4631) Prec@1 45.703 (44.488) Prec@5 71.484 (70.149)
Epoch: [36][1420/5005] Time 0.207 (0.222) Data 0.042 (0.067) Loss 2.7619 (2.4634) Prec@1 38.281 (44.492) Prec@5 64.453 (70.144)
Epoch: [36][1430/5005] Time 0.208 (0.222) Data 0.043 (0.067) Loss 2.2046 (2.4631) Prec@1 46.484 (44.496) Prec@5 73.828 (70.146)
Epoch: [36][1440/5005] Time 0.206 (0.222) Data 0.047 (0.067) Loss 2.2095 (2.4627) Prec@1 51.172 (44.502) Prec@5 76.172 (70.150)
Epoch: [36][1450/5005] Time 0.210 (0.222) Data 0.057 (0.067) Loss 2.6302 (2.4628) Prec@1 49.219 (44.515) Prec@5 68.359 (70.149)
Epoch: [36][1460/5005] Time 0.199 (0.222) Data 0.044 (0.067) Loss 2.5164 (2.4626) Prec@1 44.531 (44.522) Prec@5 67.188 (70.150)
Epoch: [36][1470/5005] Time 0.205 (0.222) Data 0.041 (0.067) Loss 2.5685 (2.4627) Prec@1 44.141 (44.519) Prec@5 68.359 (70.148)
Epoch: [36][1480/5005] Time 0.209 (0.222) Data 0.083 (0.067) Loss 2.1778 (2.4627) Prec@1 49.219 (44.516) Prec@5 77.734 (70.149)
Epoch: [36][1490/5005] Time 0.191 (0.222) Data 0.062 (0.067) Loss 2.8225 (2.4626) Prec@1 38.281 (44.520) Prec@5 65.234 (70.156)
Epoch: [36][1500/5005] Time 0.205 (0.222) Data 0.051 (0.067) Loss 2.4675 (2.4624) Prec@1 47.656 (44.532) Prec@5 70.703 (70.161)
Epoch: [36][1510/5005] Time 0.208 (0.222) Data 0.049 (0.067) Loss 2.3909 (2.4621) Prec@1 44.531 (44.542) Prec@5 73.438 (70.165)
Epoch: [36][1520/5005] Time 0.209 (0.222) Data 0.066 (0.068) Loss 2.4151 (2.4617) Prec@1 46.094 (44.544) Prec@5 71.094 (70.165)
Epoch: [36][1530/5005] Time 0.193 (0.222) Data 0.049 (0.068) Loss 2.6134 (2.4618) Prec@1 40.625 (44.536) Prec@5 69.141 (70.162)
Epoch: [36][1540/5005] Time 0.208 (0.222) Data 0.052 (0.068) Loss 2.5889 (2.4622) Prec@1 41.406 (44.526) Prec@5 68.359 (70.154)
Epoch: [36][1550/5005] Time 0.670 (0.222) Data 0.589 (0.068) Loss 2.3672 (2.4618) Prec@1 47.656 (44.529) Prec@5 77.344 (70.167)
Epoch: [36][1560/5005] Time 0.197 (0.222) Data 0.051 (0.068) Loss 2.3236 (2.4618) Prec@1 47.266 (44.529) Prec@5 69.922 (70.171)
Epoch: [36][1570/5005] Time 0.559 (0.222) Data 0.471 (0.069) Loss 2.2410 (2.4616) Prec@1 46.484 (44.530) Prec@5 74.609 (70.178)
Epoch: [36][1580/5005] Time 0.199 (0.222) Data 0.048 (0.069) Loss 2.2252 (2.4615) Prec@1 47.656 (44.521) Prec@5 76.953 (70.182)
Epoch: [36][1590/5005] Time 0.213 (0.222) Data 0.049 (0.069) Loss 2.4385 (2.4615) Prec@1 44.922 (44.522) Prec@5 69.531 (70.182)
Epoch: [36][1600/5005] Time 0.209 (0.223) Data 0.041 (0.069) Loss 2.6008 (2.4616) Prec@1 46.094 (44.519) Prec@5 66.797 (70.182)
Epoch: [36][1610/5005] Time 0.202 (0.223) Data 0.041 (0.069) Loss 2.5100 (2.4617) Prec@1 42.969 (44.517) Prec@5 69.922 (70.178)
Epoch: [36][1620/5005] Time 0.216 (0.223) Data 0.137 (0.069) Loss 2.5359 (2.4614) Prec@1 42.578 (44.519) Prec@5 69.531 (70.180)
Epoch: [36][1630/5005] Time 0.194 (0.223) Data 0.044 (0.070) Loss 2.3664 (2.4614) Prec@1 47.266 (44.520) Prec@5 73.047 (70.177)
Epoch: [36][1640/5005] Time 0.202 (0.223) Data 0.040 (0.070) Loss 2.5710 (2.4617) Prec@1 42.969 (44.522) Prec@5 69.922 (70.173)
Epoch: [36][1650/5005] Time 0.202 (0.223) Data 0.040 (0.069) Loss 2.5764 (2.4617) Prec@1 42.969 (44.525) Prec@5 67.188 (70.171)
Epoch: [36][1660/5005] Time 0.195 (0.223) Data 0.051 (0.070) Loss 2.3915 (2.4611) Prec@1 46.094 (44.545) Prec@5 71.484 (70.177)
Epoch: [36][1670/5005] Time 0.211 (0.223) Data 0.042 (0.070) Loss 2.2988 (2.4613) Prec@1 49.219 (44.542) Prec@5 72.656 (70.170)
Epoch: [36][1680/5005] Time 0.235 (0.223) Data 0.152 (0.070) Loss 2.7334 (2.4617) Prec@1 42.188 (44.535) Prec@5 65.625 (70.167)
Epoch: [36][1690/5005] Time 0.202 (0.223) Data 0.046 (0.070) Loss 2.2727 (2.4613) Prec@1 46.484 (44.535) Prec@5 73.047 (70.172)
Epoch: [36][1700/5005] Time 0.205 (0.223) Data 0.045 (0.070) Loss 2.3747 (2.4607) Prec@1 44.922 (44.541) Prec@5 71.094 (70.180)
Epoch: [36][1710/5005] Time 0.229 (0.223) Data 0.145 (0.070) Loss 2.2611 (2.4604) Prec@1 49.219 (44.546) Prec@5 73.438 (70.186)
Epoch: [36][1720/5005] Time 0.402 (0.223) Data 0.321 (0.070) Loss 2.5460 (2.4603) Prec@1 42.578 (44.548) Prec@5 70.312 (70.186)
Epoch: [36][1730/5005] Time 0.205 (0.223) Data 0.048 (0.070) Loss 2.3775 (2.4601) Prec@1 41.016 (44.541) Prec@5 72.656 (70.189)
Epoch: [36][1740/5005] Time 0.309 (0.223) Data 0.227 (0.070) Loss 2.5775 (2.4598) Prec@1 40.625 (44.547) Prec@5 66.797 (70.187)
Epoch: [36][1750/5005] Time 0.204 (0.223) Data 0.049 (0.070) Loss 2.4110 (2.4598) Prec@1 43.750 (44.542) Prec@5 69.922 (70.185)
Epoch: [36][1760/5005] Time 0.373 (0.223) Data 0.294 (0.071) Loss 2.2400 (2.4597) Prec@1 47.266 (44.542) Prec@5 76.172 (70.191)
Epoch: [36][1770/5005] Time 0.206 (0.223) Data 0.043 (0.071) Loss 2.5568 (2.4594) Prec@1 44.922 (44.547) Prec@5 71.875 (70.199)
Epoch: [36][1780/5005] Time 0.205 (0.223) Data 0.064 (0.071) Loss 2.3250 (2.4594) Prec@1 47.266 (44.550) Prec@5 71.484 (70.196)
Epoch: [36][1790/5005] Time 0.265 (0.223) Data 0.161 (0.071) Loss 2.3581 (2.4588) Prec@1 44.531 (44.559) Prec@5 73.828 (70.206)
Epoch: [36][1800/5005] Time 0.203 (0.223) Data 0.045 (0.071) Loss 2.3432 (2.4586) Prec@1 48.828 (44.568) Prec@5 73.047 (70.208)
Epoch: [36][1810/5005] Time 0.198 (0.223) Data 0.058 (0.071) Loss 2.3295 (2.4582) Prec@1 48.828 (44.572) Prec@5 73.438 (70.218)
Epoch: [36][1820/5005] Time 0.205 (0.223) Data 0.041 (0.071) Loss 2.4768 (2.4581) Prec@1 40.234 (44.572) Prec@5 68.359 (70.219)
Epoch: [36][1830/5005] Time 0.195 (0.223) Data 0.044 (0.071) Loss 2.2347 (2.4577) Prec@1 46.875 (44.575) Prec@5 75.391 (70.227)
Epoch: [36][1840/5005] Time 0.211 (0.223) Data 0.042 (0.071) Loss 2.6416 (2.4575) Prec@1 40.234 (44.586) Prec@5 67.188 (70.230)
Epoch: [36][1850/5005] Time 0.200 (0.223) Data 0.047 (0.071) Loss 2.4271 (2.4571) Prec@1 45.703 (44.598) Prec@5 73.047 (70.235)
Epoch: [36][1860/5005] Time 0.255 (0.223) Data 0.169 (0.072) Loss 2.2975 (2.4572) Prec@1 47.656 (44.597) Prec@5 71.484 (70.233)
Epoch: [36][1870/5005] Time 0.203 (0.223) Data 0.046 (0.072) Loss 2.8119 (2.4576) Prec@1 40.625 (44.586) Prec@5 62.109 (70.229)
Epoch: [36][1880/5005] Time 0.199 (0.223) Data 0.048 (0.072) Loss 2.3623 (2.4574) Prec@1 48.438 (44.594) Prec@5 72.266 (70.232)
Epoch: [36][1890/5005] Time 0.201 (0.223) Data 0.042 (0.072) Loss 2.5104 (2.4571) Prec@1 46.875 (44.605) Prec@5 68.359 (70.233)
Epoch: [36][1900/5005] Time 0.417 (0.224) Data 0.329 (0.072) Loss 2.3283 (2.4575) Prec@1 47.656 (44.596) Prec@5 73.047 (70.229)
Epoch: [36][1910/5005] Time 0.191 (0.223) Data 0.047 (0.072) Loss 2.3718 (2.4574) Prec@1 41.406 (44.595) Prec@5 69.922 (70.226)
Epoch: [36][1920/5005] Time 0.203 (0.223) Data 0.045 (0.072) Loss 2.3293 (2.4571) Prec@1 48.828 (44.591) Prec@5 73.047 (70.238)
Epoch: [36][1930/5005] Time 0.246 (0.223) Data 0.162 (0.072) Loss 2.3257 (2.4567) Prec@1 46.484 (44.601) Prec@5 70.703 (70.237)
Epoch: [36][1940/5005] Time 0.203 (0.223) Data 0.052 (0.072) Loss 2.3806 (2.4566) Prec@1 47.656 (44.603) Prec@5 71.094 (70.243)
Epoch: [36][1950/5005] Time 0.206 (0.223) Data 0.045 (0.072) Loss 2.5828 (2.4566) Prec@1 44.922 (44.602) Prec@5 69.141 (70.242)
Epoch: [36][1960/5005] Time 0.192 (0.223) Data 0.102 (0.072) Loss 2.4694 (2.4564) Prec@1 39.453 (44.606) Prec@5 70.312 (70.245)
Epoch: [36][1970/5005] Time 0.403 (0.223) Data 0.319 (0.072) Loss 2.4651 (2.4566) Prec@1 43.750 (44.597) Prec@5 69.922 (70.242)
Epoch: [36][1980/5005] Time 0.223 (0.223) Data 0.134 (0.073) Loss 2.3167 (2.4565) Prec@1 48.047 (44.600) Prec@5 71.484 (70.245)
Epoch: [36][1990/5005] Time 0.207 (0.223) Data 0.048 (0.073) Loss 2.2454 (2.4561) Prec@1 46.094 (44.604) Prec@5 72.266 (70.251)
Epoch: [36][2000/5005] Time 0.208 (0.223) Data 0.045 (0.073) Loss 2.2400 (2.4562) Prec@1 49.609 (44.611) Prec@5 74.609 (70.249)
Epoch: [36][2010/5005] Time 0.196 (0.223) Data 0.050 (0.073) Loss 2.2780 (2.4562) Prec@1 49.609 (44.606) Prec@5 72.656 (70.246)
Epoch: [36][2020/5005] Time 0.311 (0.224) Data 0.221 (0.073) Loss 2.4436 (2.4564) Prec@1 45.312 (44.601) Prec@5 70.703 (70.244)
Epoch: [36][2030/5005] Time 0.196 (0.224) Data 0.046 (0.073) Loss 2.3876 (2.4565) Prec@1 46.094 (44.604) Prec@5 72.656 (70.240)
Epoch: [36][2040/5005] Time 0.193 (0.224) Data 0.042 (0.073) Loss 2.0510 (2.4563) Prec@1 51.172 (44.604) Prec@5 76.953 (70.246)
Epoch: [36][2050/5005] Time 0.200 (0.224) Data 0.055 (0.073) Loss 2.5315 (2.4562) Prec@1 45.703 (44.607) Prec@5 66.797 (70.247)
Epoch: [36][2060/5005] Time 0.202 (0.224) Data 0.050 (0.073) Loss 2.3415 (2.4563) Prec@1 41.797 (44.603) Prec@5 71.484 (70.247)
Epoch: [36][2070/5005] Time 0.208 (0.224) Data 0.058 (0.073) Loss 2.6409 (2.4565) Prec@1 41.016 (44.602) Prec@5 67.969 (70.242)
Epoch: [36][2080/5005] Time 0.215 (0.224) Data 0.044 (0.073) Loss 2.4829 (2.4563) Prec@1 43.750 (44.605) Prec@5 71.875 (70.246)
Epoch: [36][2090/5005] Time 0.198 (0.224) Data 0.045 (0.073) Loss 2.3840 (2.4558) Prec@1 43.359 (44.609) Prec@5 72.656 (70.251)
Epoch: [36][2100/5005] Time 0.195 (0.224) Data 0.059 (0.073) Loss 2.5231 (2.4556) Prec@1 43.359 (44.613) Prec@5 70.312 (70.255)
Epoch: [36][2110/5005] Time 0.194 (0.224) Data 0.044 (0.073) Loss 2.2584 (2.4555) Prec@1 48.047 (44.619) Prec@5 73.047 (70.256)
Epoch: [36][2120/5005] Time 0.204 (0.224) Data 0.051 (0.073) Loss 2.5186 (2.4554) Prec@1 42.969 (44.624) Prec@5 67.188 (70.257)
Epoch: [36][2130/5005] Time 0.208 (0.223) Data 0.044 (0.073) Loss 2.4572 (2.4550) Prec@1 45.703 (44.631) Prec@5 67.969 (70.264)
Epoch: [36][2140/5005] Time 0.211 (0.223) Data 0.043 (0.073) Loss 2.2741 (2.4549) Prec@1 48.828 (44.629) Prec@5 71.094 (70.262)
Epoch: [36][2150/5005] Time 0.314 (0.223) Data 0.226 (0.073) Loss 2.3310 (2.4549) Prec@1 46.484 (44.633) Prec@5 72.266 (70.259)
Epoch: [36][2160/5005] Time 0.527 (0.224) Data 0.441 (0.074) Loss 2.3711 (2.4548) Prec@1 46.875 (44.631) Prec@5 71.875 (70.262)
Epoch: [36][2170/5005] Time 0.209 (0.224) Data 0.042 (0.074) Loss 2.2343 (2.4544) Prec@1 47.266 (44.641) Prec@5 73.828 (70.269)
Epoch: [36][2180/5005] Time 0.261 (0.224) Data 0.177 (0.074) Loss 2.4228 (2.4544) Prec@1 46.094 (44.639) Prec@5 71.094 (70.270)
Epoch: [36][2190/5005] Time 0.198 (0.224) Data 0.046 (0.074) Loss 2.6090 (2.4546) Prec@1 45.703 (44.640) Prec@5 67.188 (70.269)
Epoch: [36][2200/5005] Time 0.211 (0.224) Data 0.042 (0.074) Loss 2.5296 (2.4547) Prec@1 43.359 (44.636) Prec@5 70.703 (70.271)
Epoch: [36][2210/5005] Time 0.287 (0.224) Data 0.208 (0.074) Loss 2.5814 (2.4550) Prec@1 42.578 (44.630) Prec@5 69.922 (70.266)
Epoch: [36][2220/5005] Time 0.207 (0.224) Data 0.052 (0.075) Loss 2.4844 (2.4549) Prec@1 44.141 (44.627) Prec@5 66.797 (70.264)
Epoch: [36][2230/5005] Time 0.208 (0.224) Data 0.042 (0.075) Loss 2.6346 (2.4550) Prec@1 42.188 (44.626) Prec@5 68.750 (70.254)
Epoch: [36][2240/5005] Time 0.200 (0.224) Data 0.110 (0.074) Loss 2.3783 (2.4551) Prec@1 44.141 (44.621) Prec@5 70.703 (70.257)
Epoch: [36][2250/5005] Time 0.198 (0.224) Data 0.059 (0.074) Loss 2.2388 (2.4552) Prec@1 46.094 (44.617) Prec@5 72.656 (70.257)
Epoch: [36][2260/5005] Time 0.205 (0.224) Data 0.044 (0.074) Loss 2.3186 (2.4548) Prec@1 47.266 (44.620) Prec@5 71.484 (70.260)
Epoch: [36][2270/5005] Time 0.205 (0.224) Data 0.041 (0.074) Loss 2.6332 (2.4546) Prec@1 40.234 (44.631) Prec@5 67.969 (70.262)
Epoch: [36][2280/5005] Time 0.367 (0.224) Data 0.282 (0.075) Loss 2.4884 (2.4545) Prec@1 49.219 (44.639) Prec@5 71.094 (70.264)
Epoch: [36][2290/5005] Time 0.193 (0.224) Data 0.047 (0.074) Loss 2.3257 (2.4545) Prec@1 47.656 (44.642) Prec@5 72.266 (70.266)
Epoch: [36][2300/5005] Time 0.201 (0.224) Data 0.042 (0.074) Loss 2.3362 (2.4546) Prec@1 45.312 (44.643) Prec@5 69.531 (70.265)
Epoch: [36][2310/5005] Time 0.199 (0.224) Data 0.048 (0.074) Loss 2.2636 (2.4546) Prec@1 50.781 (44.647) Prec@5 74.219 (70.265)
Epoch: [36][2320/5005] Time 0.199 (0.224) Data 0.062 (0.074) Loss 2.5731 (2.4545) Prec@1 43.750 (44.651) Prec@5 67.578 (70.262)
Epoch: [36][2330/5005] Time 0.203 (0.224) Data 0.051 (0.075) Loss 2.4215 (2.4544) Prec@1 42.578 (44.656) Prec@5 70.312 (70.263)
Epoch: [36][2340/5005] Time 0.211 (0.224) Data 0.046 (0.075) Loss 2.3957 (2.4543) Prec@1 49.219 (44.657) Prec@5 71.484 (70.264)
Epoch: [36][2350/5005] Time 0.198 (0.224) Data 0.047 (0.075) Loss 2.4937 (2.4543) Prec@1 42.578 (44.656) Prec@5 69.531 (70.265)
Epoch: [36][2360/5005] Time 0.206 (0.224) Data 0.051 (0.075) Loss 2.5240 (2.4545) Prec@1 43.750 (44.654) Prec@5 67.969 (70.265)
Epoch: [36][2370/5005] Time 0.199 (0.224) Data 0.057 (0.075) Loss 2.5392 (2.4546) Prec@1 38.281 (44.648) Prec@5 69.922 (70.265)
Epoch: [36][2380/5005] Time 0.245 (0.224) Data 0.157 (0.075) Loss 2.4423 (2.4544) Prec@1 47.266 (44.657) Prec@5 68.359 (70.269)
Epoch: [36][2390/5005] Time 0.192 (0.224) Data 0.044 (0.075) Loss 2.4900 (2.4543) Prec@1 45.703 (44.659) Prec@5 67.578 (70.271)
Epoch: [36][2400/5005] Time 0.393 (0.224) Data 0.302 (0.075) Loss 2.3485 (2.4542) Prec@1 44.531 (44.660) Prec@5 71.484 (70.269)
Epoch: [36][2410/5005] Time 0.202 (0.224) Data 0.048 (0.075) Loss 2.5790 (2.4542) Prec@1 42.578 (44.660) Prec@5 69.531 (70.266)
Epoch: [36][2420/5005] Time 0.207 (0.224) Data 0.048 (0.075) Loss 2.5771 (2.4541) Prec@1 42.969 (44.666) Prec@5 68.750 (70.268)
Epoch: [36][2430/5005] Time 0.204 (0.224) Data 0.053 (0.075) Loss 2.1773 (2.4541) Prec@1 52.734 (44.672) Prec@5 73.828 (70.269)
Epoch: [36][2440/5005] Time 0.208 (0.224) Data 0.087 (0.075) Loss 2.2010 (2.4540) Prec@1 51.172 (44.681) Prec@5 74.219 (70.268)
Epoch: [36][2450/5005] Time 0.204 (0.224) Data 0.043 (0.075) Loss 2.3031 (2.4538) Prec@1 50.781 (44.683) Prec@5 71.875 (70.269)
Epoch: [36][2460/5005] Time 0.194 (0.224) Data 0.043 (0.075) Loss 2.3855 (2.4536) Prec@1 46.875 (44.691) Prec@5 71.484 (70.272)
Epoch: [36][2470/5005] Time 0.205 (0.224) Data 0.048 (0.075) Loss 2.3889 (2.4535) Prec@1 49.219 (44.692) Prec@5 70.703 (70.275)
Epoch: [36][2480/5005] Time 0.199 (0.224) Data 0.068 (0.075) Loss 2.6145 (2.4538) Prec@1 40.625 (44.685) Prec@5 68.359 (70.271)
Epoch: [36][2490/5005] Time 0.201 (0.224) Data 0.096 (0.075) Loss 2.2311 (2.4538) Prec@1 47.266 (44.680) Prec@5 75.000 (70.272)
Epoch: [36][2500/5005] Time 0.209 (0.224) Data 0.046 (0.075) Loss 2.5121 (2.4537) Prec@1 42.969 (44.680) Prec@5 67.578 (70.271)
Epoch: [36][2510/5005] Time 0.204 (0.224) Data 0.045 (0.075) Loss 2.6112 (2.4539) Prec@1 41.797 (44.675) Prec@5 66.797 (70.269)
Epoch: [36][2520/5005] Time 0.211 (0.224) Data 0.043 (0.075) Loss 2.3900 (2.4539) Prec@1 46.094 (44.675) Prec@5 73.828 (70.267)
Epoch: [36][2530/5005] Time 0.203 (0.224) Data 0.041 (0.075) Loss 2.5800 (2.4538) Prec@1 42.969 (44.677) Prec@5 69.531 (70.268)
Epoch: [36][2540/5005] Time 0.199 (0.224) Data 0.050 (0.075) Loss 2.3815 (2.4536) Prec@1 44.922 (44.682) Prec@5 71.875 (70.270)
Epoch: [36][2550/5005] Time 0.201 (0.224) Data 0.064 (0.075) Loss 2.4368 (2.4535) Prec@1 45.703 (44.681) Prec@5 69.922 (70.272)
Epoch: [36][2560/5005] Time 0.204 (0.224) Data 0.048 (0.075) Loss 2.6430 (2.4537) Prec@1 41.797 (44.680) Prec@5 68.359 (70.270)
Epoch: [36][2570/5005] Time 0.206 (0.224) Data 0.050 (0.075) Loss 2.3315 (2.4538) Prec@1 44.922 (44.675) Prec@5 75.781 (70.269)
Epoch: [36][2580/5005] Time 0.211 (0.224) Data 0.127 (0.075) Loss 2.5157 (2.4541) Prec@1 42.188 (44.670) Prec@5 68.750 (70.264)
Epoch: [36][2590/5005] Time 0.203 (0.224) Data 0.041 (0.075) Loss 2.6394 (2.4540) Prec@1 40.625 (44.681) Prec@5 66.797 (70.264)
Epoch: [36][2600/5005] Time 0.199 (0.224) Data 0.050 (0.075) Loss 2.5748 (2.4542) Prec@1 44.922 (44.680) Prec@5 69.531 (70.260)
Epoch: [36][2610/5005] Time 0.213 (0.224) Data 0.041 (0.075) Loss 2.5479 (2.4540) Prec@1 41.797 (44.683) Prec@5 62.891 (70.260)
Epoch: [36][2620/5005] Time 0.201 (0.224) Data 0.048 (0.075) Loss 2.3437 (2.4540) Prec@1 45.703 (44.683) Prec@5 68.359 (70.262)
Epoch: [36][2630/5005] Time 0.195 (0.224) Data 0.094 (0.075) Loss 2.6029 (2.4544) Prec@1 42.188 (44.678) Prec@5 67.578 (70.254)
Epoch: [36][2640/5005] Time 0.202 (0.224) Data 0.044 (0.075) Loss 2.6356 (2.4544) Prec@1 40.234 (44.675) Prec@5 65.234 (70.254)
Epoch: [36][2650/5005] Time 0.209 (0.224) Data 0.042 (0.075) Loss 2.6360 (2.4545) Prec@1 41.016 (44.672) Prec@5 65.234 (70.254)
Epoch: [36][2660/5005] Time 0.203 (0.224) Data 0.093 (0.075) Loss 2.4361 (2.4543) Prec@1 42.578 (44.670) Prec@5 70.703 (70.253)
Epoch: [36][2670/5005] Time 0.278 (0.224) Data 0.196 (0.076) Loss 2.1079 (2.4540) Prec@1 54.297 (44.681) Prec@5 75.781 (70.258)
Epoch: [36][2680/5005] Time 0.196 (0.224) Data 0.045 (0.076) Loss 2.3116 (2.4538) Prec@1 50.781 (44.684) Prec@5 72.656 (70.259)
Epoch: [36][2690/5005] Time 0.198 (0.224) Data 0.045 (0.076) Loss 2.3492 (2.4536) Prec@1 48.438 (44.689) Prec@5 72.656 (70.263)
Epoch: [36][2700/5005] Time 0.205 (0.224) Data 0.045 (0.076) Loss 2.3000 (2.4535) Prec@1 46.094 (44.686) Prec@5 73.047 (70.265)
Epoch: [36][2710/5005] Time 0.325 (0.224) Data 0.239 (0.076) Loss 2.2879 (2.4537) Prec@1 44.141 (44.680) Prec@5 73.438 (70.264)
Epoch: [36][2720/5005] Time 0.206 (0.224) Data 0.040 (0.076) Loss 2.2675 (2.4535) Prec@1 52.734 (44.684) Prec@5 73.438 (70.269)
Epoch: [36][2730/5005] Time 1.047 (0.224) Data 0.970 (0.076) Loss 2.4418 (2.4533) Prec@1 46.094 (44.682) Prec@5 69.141 (70.272)
Epoch: [36][2740/5005] Time 0.196 (0.224) Data 0.045 (0.076) Loss 2.3529 (2.4533) Prec@1 45.312 (44.684) Prec@5 70.703 (70.274)
Epoch: [36][2750/5005] Time 0.207 (0.225) Data 0.043 (0.076) Loss 2.4476 (2.4530) Prec@1 42.969 (44.686) Prec@5 69.922 (70.277)
Epoch: [36][2760/5005] Time 0.200 (0.225) Data 0.041 (0.076) Loss 2.4003 (2.4528) Prec@1 43.750 (44.691) Prec@5 72.266 (70.284)
Epoch: [36][2770/5005] Time 0.206 (0.225) Data 0.040 (0.076) Loss 2.3493 (2.4527) Prec@1 47.656 (44.691) Prec@5 73.828 (70.287)
Epoch: [36][2780/5005] Time 0.199 (0.224) Data 0.047 (0.076) Loss 2.4855 (2.4526) Prec@1 41.016 (44.697) Prec@5 68.750 (70.292)
Epoch: [36][2790/5005] Time 0.264 (0.224) Data 0.184 (0.076) Loss 2.7551 (2.4527) Prec@1 37.500 (44.698) Prec@5 66.406 (70.289)
Epoch: [36][2800/5005] Time 0.204 (0.225) Data 0.047 (0.076) Loss 2.2000 (2.4527) Prec@1 48.047 (44.698) Prec@5 76.953 (70.288)
Epoch: [36][2810/5005] Time 0.203 (0.224) Data 0.044 (0.076) Loss 2.5442 (2.4527) Prec@1 43.359 (44.698) Prec@5 67.578 (70.288)
Epoch: [36][2820/5005] Time 0.341 (0.224) Data 0.259 (0.076) Loss 2.1443 (2.4526) Prec@1 49.219 (44.699) Prec@5 75.000 (70.291)
Epoch: [36][2830/5005] Time 0.203 (0.225) Data 0.048 (0.076) Loss 2.6047 (2.4527) Prec@1 41.016 (44.694) Prec@5 67.969 (70.290)
Epoch: [36][2840/5005] Time 0.207 (0.225) Data 0.041 (0.076) Loss 2.5526 (2.4528) Prec@1 41.797 (44.692) Prec@5 67.578 (70.289)
Epoch: [36][2850/5005] Time 0.191 (0.224) Data 0.089 (0.076) Loss 2.5621 (2.4527) Prec@1 44.922 (44.696) Prec@5 66.797 (70.288)
Epoch: [36][2860/5005] Time 0.208 (0.225) Data 0.049 (0.076) Loss 2.5296 (2.4528) Prec@1 39.453 (44.691) Prec@5 68.750 (70.288)
Epoch: [36][2870/5005] Time 0.200 (0.225) Data 0.045 (0.076) Loss 2.3680 (2.4525) Prec@1 46.484 (44.699) Prec@5 72.656 (70.297)
Epoch: [36][2880/5005] Time 0.208 (0.225) Data 0.040 (0.076) Loss 2.3630 (2.4524) Prec@1 44.531 (44.699) Prec@5 72.266 (70.299)
Epoch: [36][2890/5005] Time 0.201 (0.224) Data 0.049 (0.076) Loss 2.4894 (2.4522) Prec@1 46.484 (44.705) Prec@5 69.531 (70.302)
Epoch: [36][2900/5005] Time 0.196 (0.225) Data 0.048 (0.076) Loss 2.1370 (2.4521) Prec@1 50.391 (44.707) Prec@5 76.562 (70.305)
Epoch: [36][2910/5005] Time 0.208 (0.224) Data 0.051 (0.076) Loss 2.4319 (2.4520) Prec@1 43.359 (44.706) Prec@5 72.266 (70.304)
Epoch: [36][2920/5005] Time 0.203 (0.224) Data 0.051 (0.076) Loss 2.6491 (2.4521) Prec@1 41.797 (44.708) Prec@5 69.531 (70.305)
Epoch: [36][2930/5005] Time 0.208 (0.224) Data 0.054 (0.076) Loss 2.6156 (2.4521) Prec@1 39.453 (44.704) Prec@5 69.141 (70.308)
Epoch: [36][2940/5005] Time 0.189 (0.224) Data 0.043 (0.076) Loss 2.4880 (2.4518) Prec@1 43.359 (44.709) Prec@5 71.484 (70.313)
Epoch: [36][2950/5005] Time 0.198 (0.224) Data 0.060 (0.076) Loss 2.6423 (2.4517) Prec@1 42.578 (44.714) Prec@5 67.969 (70.313)
Epoch: [36][2960/5005] Time 0.444 (0.224) Data 0.360 (0.076) Loss 2.4742 (2.4516) Prec@1 45.703 (44.720) Prec@5 69.531 (70.315)
Epoch: [36][2970/5005] Time 0.213 (0.224) Data 0.045 (0.076) Loss 2.5769 (2.4514) Prec@1 39.453 (44.723) Prec@5 68.359 (70.320)
Epoch: [36][2980/5005] Time 0.195 (0.224) Data 0.042 (0.076) Loss 2.4958 (2.4515) Prec@1 41.016 (44.722) Prec@5 71.094 (70.320)
Epoch: [36][2990/5005] Time 0.213 (0.224) Data 0.042 (0.076) Loss 2.2849 (2.4515) Prec@1 46.484 (44.726) Prec@5 74.609 (70.321)
Epoch: [36][3000/5005] Time 0.272 (0.224) Data 0.184 (0.077) Loss 2.4599 (2.4513) Prec@1 42.188 (44.726) Prec@5 71.094 (70.323)
Epoch: [36][3010/5005] Time 0.212 (0.224) Data 0.049 (0.076) Loss 2.2896 (2.4513) Prec@1 50.391 (44.726) Prec@5 73.438 (70.323)
Epoch: [36][3020/5005] Time 0.208 (0.224) Data 0.048 (0.076) Loss 2.3266 (2.4514) Prec@1 47.656 (44.724) Prec@5 69.922 (70.319)
Epoch: [36][3030/5005] Time 0.208 (0.224) Data 0.042 (0.076) Loss 2.5449 (2.4513) Prec@1 42.969 (44.725) Prec@5 69.922 (70.321)
Epoch: [36][3040/5005] Time 0.219 (0.224) Data 0.134 (0.076) Loss 2.2505 (2.4511) Prec@1 45.312 (44.728) Prec@5 73.828 (70.323)
Epoch: [36][3050/5005] Time 0.206 (0.224) Data 0.046 (0.076) Loss 2.2877 (2.4510) Prec@1 48.438 (44.730) Prec@5 76.562 (70.327)
Epoch: [36][3060/5005] Time 0.199 (0.224) Data 0.120 (0.076) Loss 2.2798 (2.4508) Prec@1 50.391 (44.733) Prec@5 70.703 (70.330)
Epoch: [36][3070/5005] Time 0.208 (0.224) Data 0.045 (0.077) Loss 2.2877 (2.4508) Prec@1 48.828 (44.737) Prec@5 73.047 (70.331)
Epoch: [36][3080/5005] Time 0.197 (0.224) Data 0.043 (0.076) Loss 2.2872 (2.4508) Prec@1 44.922 (44.733) Prec@5 72.656 (70.328)
Epoch: [36][3090/5005] Time 0.192 (0.224) Data 0.045 (0.077) Loss 2.7986 (2.4509) Prec@1 36.719 (44.726) Prec@5 62.891 (70.328)
Epoch: [36][3100/5005] Time 0.209 (0.224) Data 0.040 (0.077) Loss 2.5006 (2.4509) Prec@1 44.141 (44.725) Prec@5 71.484 (70.330)
Epoch: [36][3110/5005] Time 0.188 (0.224) Data 0.042 (0.077) Loss 2.2764 (2.4506) Prec@1 44.531 (44.731) Prec@5 72.266 (70.334)
Epoch: [36][3120/5005] Time 0.202 (0.224) Data 0.056 (0.077) Loss 2.5360 (2.4505) Prec@1 41.797 (44.732) Prec@5 67.188 (70.337)
Epoch: [36][3130/5005] Time 0.272 (0.224) Data 0.185 (0.077) Loss 2.5764 (2.4503) Prec@1 40.625 (44.741) Prec@5 67.578 (70.341)
Epoch: [36][3140/5005] Time 0.198 (0.224) Data 0.051 (0.077) Loss 2.1538 (2.4501) Prec@1 55.078 (44.746) Prec@5 74.609 (70.342)
Epoch: [36][3150/5005] Time 0.201 (0.224) Data 0.045 (0.077) Loss 2.4332 (2.4498) Prec@1 47.266 (44.755) Prec@5 70.703 (70.345)
Epoch: [36][3160/5005] Time 0.189 (0.224) Data 0.049 (0.077) Loss 2.1952 (2.4497) Prec@1 53.516 (44.759) Prec@5 72.656 (70.345)
Epoch: [36][3170/5005] Time 0.211 (0.224) Data 0.046 (0.077) Loss 2.5535 (2.4498) Prec@1 42.578 (44.760) Prec@5 67.578 (70.345)
Epoch: [36][3180/5005] Time 0.201 (0.224) Data 0.046 (0.077) Loss 2.3647 (2.4498) Prec@1 48.047 (44.760) Prec@5 71.484 (70.346)
Epoch: [36][3190/5005] Time 0.209 (0.224) Data 0.042 (0.077) Loss 2.5201 (2.4498) Prec@1 41.797 (44.758) Prec@5 69.531 (70.348)
Epoch: [36][3200/5005] Time 0.209 (0.224) Data 0.043 (0.077) Loss 2.4484 (2.4498) Prec@1 46.094 (44.760) Prec@5 70.703 (70.350)
Epoch: [36][3210/5005] Time 0.206 (0.224) Data 0.043 (0.077) Loss 2.6369 (2.4498) Prec@1 37.891 (44.758) Prec@5 66.406 (70.351)
Epoch: [36][3220/5005] Time 0.206 (0.224) Data 0.044 (0.077) Loss 2.4687 (2.4498) Prec@1 42.969 (44.757) Prec@5 67.969 (70.350)
Epoch: [36][3230/5005] Time 0.205 (0.224) Data 0.052 (0.077) Loss 2.3107 (2.4496) Prec@1 45.312 (44.761) Prec@5 71.875 (70.352)
Epoch: [36][3240/5005] Time 0.206 (0.224) Data 0.043 (0.077) Loss 2.7408 (2.4500) Prec@1 35.547 (44.754) Prec@5 65.234 (70.344)
Epoch: [36][3250/5005] Time 0.205 (0.224) Data 0.046 (0.077) Loss 2.3621 (2.4500) Prec@1 48.438 (44.755) Prec@5 73.438 (70.344)
Epoch: [36][3260/5005] Time 0.201 (0.224) Data 0.047 (0.077) Loss 2.4525 (2.4500) Prec@1 46.484 (44.754) Prec@5 69.531 (70.345)
Epoch: [36][3270/5005] Time 0.208 (0.224) Data 0.048 (0.077) Loss 2.6132 (2.4499) Prec@1 42.188 (44.755) Prec@5 65.234 (70.346)
Epoch: [36][3280/5005] Time 0.198 (0.224) Data 0.042 (0.077) Loss 2.5074 (2.4501) Prec@1 46.484 (44.754) Prec@5 66.797 (70.342)
Epoch: [36][3290/5005] Time 0.625 (0.224) Data 0.530 (0.077) Loss 2.4110 (2.4499) Prec@1 44.531 (44.755) Prec@5 72.266 (70.342)
Epoch: [36][3300/5005] Time 0.195 (0.225) Data 0.045 (0.077) Loss 2.4659 (2.4498) Prec@1 43.359 (44.754) Prec@5 71.094 (70.342)
Epoch: [36][3310/5005] Time 0.200 (0.225) Data 0.041 (0.077) Loss 2.4640 (2.4498) Prec@1 46.484 (44.757) Prec@5 69.141 (70.344)
Epoch: [36][3320/5005] Time 0.202 (0.225) Data 0.040 (0.077) Loss 2.5518 (2.4498) Prec@1 43.359 (44.757) Prec@5 70.312 (70.345)
Epoch: [36][3330/5005] Time 0.209 (0.225) Data 0.042 (0.077) Loss 2.4611 (2.4499) Prec@1 44.141 (44.755) Prec@5 70.312 (70.344)
Epoch: [36][3340/5005] Time 0.290 (0.225) Data 0.210 (0.077) Loss 2.5171 (2.4499) Prec@1 45.312 (44.753) Prec@5 68.750 (70.345)
Epoch: [36][3350/5005] Time 0.206 (0.224) Data 0.046 (0.077) Loss 2.5248 (2.4498) Prec@1 41.016 (44.754) Prec@5 69.922 (70.350)
Epoch: [36][3360/5005] Time 0.198 (0.224) Data 0.047 (0.077) Loss 2.3756 (2.4499) Prec@1 43.359 (44.754) Prec@5 73.438 (70.349)
Epoch: [36][3370/5005] Time 0.204 (0.224) Data 0.051 (0.077) Loss 2.5500 (2.4500) Prec@1 39.844 (44.753) Prec@5 68.359 (70.346)
Epoch: [36][3380/5005] Time 0.208 (0.224) Data 0.044 (0.077) Loss 2.3555 (2.4497) Prec@1 46.484 (44.755) Prec@5 74.219 (70.350)
Epoch: [36][3390/5005] Time 0.537 (0.224) Data 0.449 (0.077) Loss 2.3652 (2.4499) Prec@1 46.875 (44.753) Prec@5 70.703 (70.345)
Epoch: [36][3400/5005] Time 0.250 (0.224) Data 0.158 (0.077) Loss 2.3154 (2.4499) Prec@1 48.828 (44.755) Prec@5 72.266 (70.343)
Epoch: [36][3410/5005] Time 0.388 (0.224) Data 0.308 (0.077) Loss 2.3625 (2.4498) Prec@1 46.875 (44.758) Prec@5 70.312 (70.345)
Epoch: [36][3420/5005] Time 0.206 (0.224) Data 0.040 (0.077) Loss 2.3842 (2.4498) Prec@1 47.656 (44.756) Prec@5 71.484 (70.345)
Epoch: [36][3430/5005] Time 0.206 (0.224) Data 0.042 (0.077) Loss 2.4310 (2.4498) Prec@1 46.094 (44.759) Prec@5 67.578 (70.344)
Epoch: [36][3440/5005] Time 0.207 (0.224) Data 0.042 (0.077) Loss 2.5580 (2.4497) Prec@1 41.797 (44.760) Prec@5 65.234 (70.345)
Epoch: [36][3450/5005] Time 0.197 (0.224) Data 0.046 (0.077) Loss 2.2439 (2.4495) Prec@1 45.703 (44.763) Prec@5 74.219 (70.349)
Epoch: [36][3460/5005] Time 0.207 (0.224) Data 0.048 (0.077) Loss 2.2571 (2.4496) Prec@1 49.219 (44.767) Prec@5 74.219 (70.348)
Epoch: [36][3470/5005] Time 0.201 (0.224) Data 0.083 (0.077) Loss 2.3394 (2.4494) Prec@1 48.828 (44.771) Prec@5 71.484 (70.351)
Epoch: [36][3480/5005] Time 0.205 (0.224) Data 0.052 (0.077) Loss 2.3746 (2.4490) Prec@1 45.312 (44.775) Prec@5 70.312 (70.359)
Epoch: [36][3490/5005] Time 0.200 (0.224) Data 0.049 (0.077) Loss 2.3932 (2.4491) Prec@1 43.359 (44.775) Prec@5 73.047 (70.358)
Epoch: [36][3500/5005] Time 0.202 (0.224) Data 0.044 (0.077) Loss 2.3558 (2.4492) Prec@1 46.094 (44.770) Prec@5 71.094 (70.355)
Epoch: [36][3510/5005] Time 0.207 (0.224) Data 0.047 (0.077) Loss 2.3416 (2.4491) Prec@1 45.312 (44.771) Prec@5 69.922 (70.357)
Epoch: [36][3520/5005] Time 0.205 (0.225) Data 0.044 (0.077) Loss 2.6216 (2.4490) Prec@1 41.406 (44.774) Prec@5 67.578 (70.358)
Epoch: [36][3530/5005] Time 0.203 (0.224) Data 0.043 (0.077) Loss 2.4150 (2.4489) Prec@1 46.875 (44.782) Prec@5 71.484 (70.358)
Epoch: [36][3540/5005] Time 0.205 (0.224) Data 0.041 (0.077) Loss 2.2501 (2.4487) Prec@1 50.391 (44.779) Prec@5 73.047 (70.360)
Epoch: [36][3550/5005] Time 0.215 (0.224) Data 0.052 (0.077) Loss 2.5643 (2.4486) Prec@1 42.188 (44.778) Prec@5 65.234 (70.358)
Epoch: [36][3560/5005] Time 0.209 (0.224) Data 0.045 (0.077) Loss 2.5029 (2.4485) Prec@1 43.750 (44.779) Prec@5 67.969 (70.359)
Epoch: [36][3570/5005] Time 0.214 (0.224) Data 0.044 (0.077) Loss 2.4999 (2.4485) Prec@1 43.750 (44.780) Prec@5 69.141 (70.358)
Epoch: [36][3580/5005] Time 0.206 (0.224) Data 0.045 (0.077) Loss 2.3985 (2.4486) Prec@1 42.578 (44.777) Prec@5 66.406 (70.356)
Epoch: [36][3590/5005] Time 0.198 (0.224) Data 0.048 (0.077) Loss 2.4689 (2.4483) Prec@1 42.188 (44.779) Prec@5 68.359 (70.358)
Epoch: [36][3600/5005] Time 0.196 (0.224) Data 0.050 (0.077) Loss 2.4995 (2.4481) Prec@1 44.922 (44.784) Prec@5 67.188 (70.360)
Epoch: [36][3610/5005] Time 0.198 (0.224) Data 0.048 (0.077) Loss 2.4427 (2.4482) Prec@1 44.531 (44.782) Prec@5 67.578 (70.359)
Epoch: [36][3620/5005] Time 0.281 (0.224) Data 0.204 (0.077) Loss 2.4539 (2.4479) Prec@1 45.312 (44.789) Prec@5 70.312 (70.364)
Epoch: [36][3630/5005] Time 0.200 (0.224) Data 0.047 (0.077) Loss 2.6670 (2.4479) Prec@1 41.016 (44.789) Prec@5 64.844 (70.365)
Epoch: [36][3640/5005] Time 0.203 (0.224) Data 0.039 (0.077) Loss 2.4499 (2.4479) Prec@1 45.312 (44.790) Prec@5 69.141 (70.365)
Epoch: [36][3650/5005] Time 0.210 (0.224) Data 0.042 (0.077) Loss 2.1963 (2.4479) Prec@1 46.094 (44.788) Prec@5 73.047 (70.364)
Epoch: [36][3660/5005] Time 0.205 (0.224) Data 0.049 (0.077) Loss 2.4663 (2.4477) Prec@1 41.406 (44.789) Prec@5 70.312 (70.367)
Epoch: [36][3670/5005] Time 0.202 (0.224) Data 0.058 (0.077) Loss 2.6358 (2.4478) Prec@1 41.797 (44.788) Prec@5 66.016 (70.364)
Epoch: [36][3680/5005] Time 0.208 (0.224) Data 0.050 (0.077) Loss 2.2705 (2.4479) Prec@1 46.484 (44.787) Prec@5 76.562 (70.364)
Epoch: [36][3690/5005] Time 0.202 (0.224) Data 0.078 (0.077) Loss 2.3043 (2.4479) Prec@1 44.922 (44.788) Prec@5 71.875 (70.364)
Epoch: [36][3700/5005] Time 0.198 (0.224) Data 0.055 (0.077) Loss 2.5124 (2.4479) Prec@1 44.141 (44.790) Prec@5 71.484 (70.366)
Epoch: [36][3710/5005] Time 0.200 (0.224) Data 0.043 (0.077) Loss 2.3448 (2.4479) Prec@1 45.312 (44.788) Prec@5 71.094 (70.365)
Epoch: [36][3720/5005] Time 0.202 (0.224) Data 0.047 (0.077) Loss 2.5518 (2.4479) Prec@1 45.312 (44.790) Prec@5 69.141 (70.366)
Epoch: [36][3730/5005] Time 0.198 (0.224) Data 0.043 (0.077) Loss 2.3002 (2.4477) Prec@1 49.219 (44.793) Prec@5 74.609 (70.367)
Epoch: [36][3740/5005] Time 0.199 (0.224) Data 0.050 (0.077) Loss 2.5000 (2.4475) Prec@1 45.703 (44.795) Prec@5 69.141 (70.371)
Epoch: [36][3750/5005] Time 0.342 (0.224) Data 0.262 (0.077) Loss 2.2853 (2.4476) Prec@1 45.703 (44.791) Prec@5 71.875 (70.368)
Epoch: [36][3760/5005] Time 0.206 (0.224) Data 0.048 (0.077) Loss 2.4016 (2.4476) Prec@1 45.703 (44.790) Prec@5 69.922 (70.368)
Epoch: [36][3770/5005] Time 0.210 (0.224) Data 0.049 (0.077) Loss 2.5963 (2.4475) Prec@1 42.578 (44.787) Prec@5 67.188 (70.369)
Epoch: [36][3780/5005] Time 0.204 (0.224) Data 0.040 (0.077) Loss 2.3944 (2.4475) Prec@1 47.656 (44.788) Prec@5 71.875 (70.368)
Epoch: [36][3790/5005] Time 0.224 (0.224) Data 0.137 (0.077) Loss 2.4919 (2.4475) Prec@1 46.484 (44.788) Prec@5 70.703 (70.371)
Epoch: [36][3800/5005] Time 0.198 (0.224) Data 0.061 (0.077) Loss 2.3873 (2.4476) Prec@1 45.703 (44.785) Prec@5 71.875 (70.369)
Epoch: [36][3810/5005] Time 0.211 (0.224) Data 0.044 (0.077) Loss 2.3634 (2.4477) Prec@1 45.703 (44.783) Prec@5 71.875 (70.369)
Epoch: [36][3820/5005] Time 0.204 (0.224) Data 0.048 (0.077) Loss 2.4047 (2.4476) Prec@1 45.703 (44.785) Prec@5 70.703 (70.369)
Epoch: [36][3830/5005] Time 0.595 (0.224) Data 0.509 (0.077) Loss 2.4559 (2.4474) Prec@1 44.141 (44.785) Prec@5 73.828 (70.371)
Epoch: [36][3840/5005] Time 0.203 (0.224) Data 0.050 (0.077) Loss 2.6063 (2.4475) Prec@1 39.062 (44.782) Prec@5 67.578 (70.367)
Epoch: [36][3850/5005] Time 0.209 (0.224) Data 0.047 (0.077) Loss 2.4527 (2.4474) Prec@1 46.094 (44.782) Prec@5 69.141 (70.368)
Epoch: [36][3860/5005] Time 0.206 (0.224) Data 0.044 (0.077) Loss 2.2000 (2.4474) Prec@1 52.344 (44.784) Prec@5 73.047 (70.369)
Epoch: [36][3870/5005] Time 0.225 (0.224) Data 0.136 (0.077) Loss 2.3597 (2.4474) Prec@1 46.094 (44.781) Prec@5 72.266 (70.368)
Epoch: [36][3880/5005] Time 0.198 (0.225) Data 0.052 (0.078) Loss 2.3770 (2.4474) Prec@1 49.219 (44.784) Prec@5 73.047 (70.369)
Epoch: [36][3890/5005] Time 0.195 (0.224) Data 0.043 (0.078) Loss 2.7247 (2.4474) Prec@1 39.844 (44.785) Prec@5 66.016 (70.369)
Epoch: [36][3900/5005] Time 0.196 (0.224) Data 0.043 (0.077) Loss 2.7170 (2.4476) Prec@1 39.844 (44.782) Prec@5 68.750 (70.368)
Epoch: [36][3910/5005] Time 0.193 (0.224) Data 0.053 (0.077) Loss 2.4873 (2.4475) Prec@1 45.703 (44.784) Prec@5 71.094 (70.369)
Epoch: [36][3920/5005] Time 0.192 (0.224) Data 0.048 (0.078) Loss 2.4970 (2.4476) Prec@1 44.922 (44.783) Prec@5 66.797 (70.365)
Epoch: [36][3930/5005] Time 0.548 (0.224) Data 0.466 (0.078) Loss 2.4467 (2.4475) Prec@1 44.922 (44.785) Prec@5 69.531 (70.367)
Epoch: [36][3940/5005] Time 0.210 (0.224) Data 0.060 (0.078) Loss 2.5145 (2.4475) Prec@1 47.656 (44.786) Prec@5 66.797 (70.365)
Epoch: [36][3950/5005] Time 0.204 (0.224) Data 0.040 (0.078) Loss 2.3513 (2.4473) Prec@1 46.094 (44.789) Prec@5 74.219 (70.371)
Epoch: [36][3960/5005] Time 0.524 (0.224) Data 0.433 (0.078) Loss 2.3625 (2.4473) Prec@1 44.531 (44.787) Prec@5 71.094 (70.371)
Epoch: [36][3970/5005] Time 0.202 (0.224) Data 0.083 (0.078) Loss 2.3107 (2.4472) Prec@1 50.781 (44.789) Prec@5 73.438 (70.371)
Epoch: [36][3980/5005] Time 0.209 (0.224) Data 0.046 (0.078) Loss 2.2715 (2.4472) Prec@1 45.312 (44.790) Prec@5 74.609 (70.373)
Epoch: [36][3990/5005] Time 0.201 (0.224) Data 0.050 (0.078) Loss 2.4650 (2.4472) Prec@1 44.141 (44.788) Prec@5 71.094 (70.373)
Epoch: [36][4000/5005] Time 0.202 (0.224) Data 0.047 (0.078) Loss 2.2558 (2.4471) Prec@1 46.484 (44.792) Prec@5 71.875 (70.375)
Epoch: [36][4010/5005] Time 0.207 (0.224) Data 0.048 (0.078) Loss 2.5354 (2.4469) Prec@1 44.922 (44.795) Prec@5 68.750 (70.378)
Epoch: [36][4020/5005] Time 0.199 (0.224) Data 0.045 (0.078) Loss 2.5463 (2.4469) Prec@1 41.797 (44.795) Prec@5 67.578 (70.376)
Epoch: [36][4030/5005] Time 0.577 (0.224) Data 0.486 (0.078) Loss 2.6841 (2.4471) Prec@1 43.750 (44.792) Prec@5 66.016 (70.371)
Epoch: [36][4040/5005] Time 0.193 (0.224) Data 0.048 (0.078) Loss 2.5215 (2.4472) Prec@1 42.188 (44.790) Prec@5 67.969 (70.370)
Epoch: [36][4050/5005] Time 0.200 (0.224) Data 0.062 (0.078) Loss 2.7921 (2.4472) Prec@1 37.891 (44.791) Prec@5 65.234 (70.371)
Epoch: [36][4060/5005] Time 0.204 (0.224) Data 0.046 (0.078) Loss 2.4942 (2.4472) Prec@1 39.844 (44.789) Prec@5 70.312 (70.371)
Epoch: [36][4070/5005] Time 0.200 (0.224) Data 0.046 (0.078) Loss 2.5702 (2.4472) Prec@1 45.703 (44.786) Prec@5 69.531 (70.370)
Epoch: [36][4080/5005] Time 0.207 (0.224) Data 0.052 (0.078) Loss 2.4397 (2.4472) Prec@1 43.750 (44.785) Prec@5 69.922 (70.369)
Epoch: [36][4090/5005] Time 0.198 (0.224) Data 0.056 (0.078) Loss 2.5195 (2.4471) Prec@1 45.703 (44.784) Prec@5 69.141 (70.370)
Epoch: [36][4100/5005] Time 0.207 (0.224) Data 0.042 (0.078) Loss 2.3671 (2.4470) Prec@1 44.531 (44.785) Prec@5 74.219 (70.371)
Epoch: [36][4110/5005] Time 0.200 (0.224) Data 0.052 (0.077) Loss 2.4496 (2.4469) Prec@1 44.531 (44.784) Prec@5 71.484 (70.372)
Epoch: [36][4120/5005] Time 0.204 (0.224) Data 0.057 (0.078) Loss 2.6320 (2.4469) Prec@1 42.578 (44.786) Prec@5 68.750 (70.372)
Epoch: [36][4130/5005] Time 0.213 (0.224) Data 0.047 (0.078) Loss 2.6021 (2.4469) Prec@1 39.453 (44.783) Prec@5 67.969 (70.374)
Epoch: [36][4140/5005] Time 0.200 (0.224) Data 0.044 (0.078) Loss 2.5577 (2.4469) Prec@1 46.484 (44.783) Prec@5 67.578 (70.374)
Epoch: [36][4150/5005] Time 0.465 (0.224) Data 0.376 (0.078) Loss 2.7616 (2.4469) Prec@1 41.406 (44.782) Prec@5 64.844 (70.373)
Epoch: [36][4160/5005] Time 0.209 (0.224) Data 0.047 (0.078) Loss 2.3889 (2.4471) Prec@1 47.656 (44.780) Prec@5 72.656 (70.372)
Epoch: [36][4170/5005] Time 0.188 (0.224) Data 0.060 (0.078) Loss 2.3265 (2.4470) Prec@1 49.219 (44.780) Prec@5 73.828 (70.375)
Epoch: [36][4180/5005] Time 0.195 (0.224) Data 0.051 (0.078) Loss 2.2547 (2.4469) Prec@1 49.609 (44.781) Prec@5 71.875 (70.375)
Epoch: [36][4190/5005] Time 0.291 (0.224) Data 0.201 (0.078) Loss 2.2572 (2.4470) Prec@1 46.484 (44.778) Prec@5 72.656 (70.371)
Epoch: [36][4200/5005] Time 0.208 (0.224) Data 0.050 (0.078) Loss 2.3306 (2.4469) Prec@1 43.750 (44.776) Prec@5 73.438 (70.373)
Epoch: [36][4210/5005] Time 0.206 (0.224) Data 0.040 (0.078) Loss 2.2468 (2.4468) Prec@1 46.875 (44.777) Prec@5 73.438 (70.377)
Epoch: [36][4220/5005] Time 0.207 (0.224) Data 0.045 (0.078) Loss 2.4982 (2.4470) Prec@1 42.969 (44.775) Prec@5 73.047 (70.377)
Epoch: [36][4230/5005] Time 0.200 (0.224) Data 0.047 (0.078) Loss 2.6505 (2.4470) Prec@1 41.406 (44.777) Prec@5 62.109 (70.374)
Epoch: [36][4240/5005] Time 0.212 (0.224) Data 0.041 (0.078) Loss 2.2982 (2.4470) Prec@1 44.141 (44.775) Prec@5 73.047 (70.373)
Epoch: [36][4250/5005] Time 0.193 (0.224) Data 0.093 (0.078) Loss 2.2631 (2.4468) Prec@1 45.703 (44.779) Prec@5 73.047 (70.376)
Epoch: [36][4260/5005] Time 0.199 (0.224) Data 0.050 (0.078) Loss 2.2214 (2.4467) Prec@1 46.875 (44.779) Prec@5 71.875 (70.374)
Epoch: [36][4270/5005] Time 0.199 (0.224) Data 0.061 (0.078) Loss 2.4823 (2.4468) Prec@1 46.484 (44.780) Prec@5 71.875 (70.372)
Epoch: [36][4280/5005] Time 0.209 (0.224) Data 0.047 (0.078) Loss 2.4596 (2.4468) Prec@1 42.969 (44.782) Prec@5 67.969 (70.372)
Epoch: [36][4290/5005] Time 0.202 (0.224) Data 0.052 (0.078) Loss 2.5290 (2.4468) Prec@1 48.438 (44.782) Prec@5 66.406 (70.370)
Epoch: [36][4300/5005] Time 0.194 (0.224) Data 0.055 (0.078) Loss 2.2084 (2.4466) Prec@1 47.266 (44.784) Prec@5 72.656 (70.374)
Epoch: [36][4310/5005] Time 0.205 (0.224) Data 0.048 (0.078) Loss 2.3528 (2.4466) Prec@1 45.703 (44.783) Prec@5 71.875 (70.375)
Epoch: [36][4320/5005] Time 0.207 (0.224) Data 0.045 (0.078) Loss 2.4411 (2.4466) Prec@1 45.703 (44.783) Prec@5 66.797 (70.372)
Epoch: [36][4330/5005] Time 0.481 (0.224) Data 0.398 (0.078) Loss 2.3901 (2.4465) Prec@1 44.531 (44.784) Prec@5 69.531 (70.373)
Epoch: [36][4340/5005] Time 0.196 (0.224) Data 0.049 (0.078) Loss 2.5219 (2.4465) Prec@1 40.625 (44.784) Prec@5 65.625 (70.371)
Epoch: [36][4350/5005] Time 0.227 (0.224) Data 0.147 (0.078) Loss 2.4164 (2.4465) Prec@1 44.531 (44.783) Prec@5 70.703 (70.374)
Epoch: [36][4360/5005] Time 0.201 (0.224) Data 0.065 (0.078) Loss 2.2263 (2.4463) Prec@1 49.609 (44.786) Prec@5 75.000 (70.377)
Epoch: [36][4370/5005] Time 0.193 (0.224) Data 0.049 (0.078) Loss 2.3479 (2.4462) Prec@1 48.828 (44.788) Prec@5 73.047 (70.380)
Epoch: [36][4380/5005] Time 0.194 (0.224) Data 0.087 (0.078) Loss 2.5304 (2.4463) Prec@1 42.578 (44.788) Prec@5 69.531 (70.382)
Epoch: [36][4390/5005] Time 0.202 (0.224) Data 0.040 (0.078) Loss 2.4391 (2.4460) Prec@1 46.875 (44.793) Prec@5 70.312 (70.385)
Epoch: [36][4400/5005] Time 0.201 (0.224) Data 0.040 (0.078) Loss 2.3459 (2.4461) Prec@1 46.484 (44.791) Prec@5 67.969 (70.382)
Epoch: [36][4410/5005] Time 0.203 (0.224) Data 0.053 (0.078) Loss 2.4994 (2.4460) Prec@1 41.406 (44.792) Prec@5 68.750 (70.383)
Epoch: [36][4420/5005] Time 0.204 (0.224) Data 0.044 (0.078) Loss 2.0782 (2.4458) Prec@1 51.172 (44.793) Prec@5 77.344 (70.387)
Epoch: [36][4430/5005] Time 0.206 (0.224) Data 0.047 (0.078) Loss 2.5077 (2.4456) Prec@1 41.797 (44.797) Prec@5 67.578 (70.390)
Epoch: [36][4440/5005] Time 0.207 (0.225) Data 0.043 (0.078) Loss 2.4515 (2.4456) Prec@1 44.531 (44.800) Prec@5 67.578 (70.390)
Epoch: [36][4450/5005] Time 0.332 (0.224) Data 0.247 (0.078) Loss 2.2919 (2.4457) Prec@1 48.438 (44.800) Prec@5 71.484 (70.389)
Epoch: [36][4460/5005] Time 0.201 (0.225) Data 0.040 (0.078) Loss 2.4229 (2.4455) Prec@1 43.359 (44.802) Prec@5 73.438 (70.394)
Epoch: [36][4470/5005] Time 0.206 (0.224) Data 0.042 (0.078) Loss 2.3075 (2.4455) Prec@1 42.969 (44.803) Prec@5 73.047 (70.396)
Epoch: [36][4480/5005] Time 0.450 (0.225) Data 0.361 (0.078) Loss 2.2500 (2.4457) Prec@1 47.266 (44.799) Prec@5 71.094 (70.393)
Epoch: [36][4490/5005] Time 0.195 (0.225) Data 0.048 (0.078) Loss 2.3334 (2.4457) Prec@1 44.922 (44.797) Prec@5 74.219 (70.393)
Epoch: [36][4500/5005] Time 0.202 (0.225) Data 0.040 (0.078) Loss 2.3468 (2.4457) Prec@1 48.828 (44.798) Prec@5 74.219 (70.392)
Epoch: [36][4510/5005] Time 0.203 (0.225) Data 0.046 (0.078) Loss 2.2550 (2.4457) Prec@1 51.172 (44.798) Prec@5 73.828 (70.391)
Epoch: [36][4520/5005] Time 0.214 (0.224) Data 0.043 (0.078) Loss 2.4015 (2.4456) Prec@1 44.922 (44.800) Prec@5 73.047 (70.394)
Epoch: [36][4530/5005] Time 0.207 (0.225) Data 0.046 (0.078) Loss 2.3103 (2.4455) Prec@1 45.312 (44.801) Prec@5 73.828 (70.394)
Epoch: [36][4540/5005] Time 0.200 (0.225) Data 0.041 (0.078) Loss 2.5432 (2.4456) Prec@1 40.234 (44.798) Prec@5 71.094 (70.394)
Epoch: [36][4550/5005] Time 0.199 (0.225) Data 0.044 (0.078) Loss 2.4117 (2.4456) Prec@1 48.047 (44.798) Prec@5 69.531 (70.394)
Epoch: [36][4560/5005] Time 0.203 (0.225) Data 0.043 (0.078) Loss 2.3533 (2.4454) Prec@1 43.750 (44.804) Prec@5 73.047 (70.396)
Epoch: [36][4570/5005] Time 0.201 (0.224) Data 0.046 (0.078) Loss 2.4710 (2.4453) Prec@1 45.703 (44.807) Prec@5 67.188 (70.398)
Epoch: [36][4580/5005] Time 0.193 (0.224) Data 0.104 (0.078) Loss 2.4676 (2.4453) Prec@1 44.141 (44.808) Prec@5 69.922 (70.399)
Epoch: [36][4590/5005] Time 0.201 (0.224) Data 0.045 (0.078) Loss 2.3080 (2.4453) Prec@1 48.047 (44.809) Prec@5 74.609 (70.398)
Epoch: [36][4600/5005] Time 0.200 (0.224) Data 0.063 (0.078) Loss 2.1936 (2.4453) Prec@1 53.125 (44.809) Prec@5 77.344 (70.399)
Epoch: [36][4610/5005] Time 0.193 (0.224) Data 0.082 (0.078) Loss 2.2994 (2.4453) Prec@1 46.094 (44.808) Prec@5 73.047 (70.398)
Epoch: [36][4620/5005] Time 0.194 (0.224) Data 0.092 (0.078) Loss 2.4114 (2.4454) Prec@1 46.875 (44.807) Prec@5 71.484 (70.398)
Epoch: [36][4630/5005] Time 0.208 (0.224) Data 0.050 (0.078) Loss 2.3262 (2.4453) Prec@1 44.531 (44.808) Prec@5 74.219 (70.401)
Epoch: [36][4640/5005] Time 0.208 (0.224) Data 0.043 (0.078) Loss 2.5097 (2.4452) Prec@1 46.484 (44.812) Prec@5 70.312 (70.402)
Epoch: [36][4650/5005] Time 0.210 (0.224) Data 0.045 (0.078) Loss 2.4967 (2.4451) Prec@1 43.359 (44.813) Prec@5 67.188 (70.403)
Epoch: [36][4660/5005] Time 0.194 (0.224) Data 0.101 (0.078) Loss 2.6909 (2.4451) Prec@1 41.406 (44.814) Prec@5 64.062 (70.403)
Epoch: [36][4670/5005] Time 0.207 (0.224) Data 0.045 (0.078) Loss 2.4402 (2.4450) Prec@1 43.750 (44.816) Prec@5 69.922 (70.404)
Epoch: [36][4680/5005] Time 0.199 (0.224) Data 0.039 (0.078) Loss 2.3606 (2.4450) Prec@1 44.922 (44.816) Prec@5 74.609 (70.405)
Epoch: [36][4690/5005] Time 0.300 (0.224) Data 0.214 (0.078) Loss 2.4243 (2.4450) Prec@1 41.797 (44.813) Prec@5 71.094 (70.405)
Epoch: [36][4700/5005] Time 0.200 (0.224) Data 0.049 (0.078) Loss 2.4621 (2.4449) Prec@1 43.750 (44.815) Prec@5 68.359 (70.406)
Epoch: [36][4710/5005] Time 0.201 (0.224) Data 0.039 (0.078) Loss 2.4267 (2.4447) Prec@1 47.656 (44.821) Prec@5 70.312 (70.409)
Epoch: [36][4720/5005] Time 0.203 (0.224) Data 0.043 (0.078) Loss 2.2158 (2.4446) Prec@1 47.266 (44.823) Prec@5 74.609 (70.411)
Epoch: [36][4730/5005] Time 0.403 (0.224) Data 0.307 (0.078) Loss 2.3881 (2.4446) Prec@1 46.875 (44.821) Prec@5 71.484 (70.409)
Epoch: [36][4740/5005] Time 0.208 (0.224) Data 0.046 (0.078) Loss 2.3893 (2.4444) Prec@1 44.141 (44.823) Prec@5 71.094 (70.411)
Epoch: [36][4750/5005] Time 0.198 (0.224) Data 0.050 (0.078) Loss 2.4171 (2.4444) Prec@1 44.531 (44.823) Prec@5 70.312 (70.414)
Epoch: [36][4760/5005] Time 0.208 (0.224) Data 0.044 (0.078) Loss 2.6658 (2.4443) Prec@1 40.625 (44.825) Prec@5 66.797 (70.415)
Epoch: [36][4770/5005] Time 0.201 (0.224) Data 0.042 (0.078) Loss 2.3588 (2.4442) Prec@1 47.266 (44.825) Prec@5 71.094 (70.415)
Epoch: [36][4780/5005] Time 0.223 (0.224) Data 0.131 (0.078) Loss 2.4587 (2.4441) Prec@1 45.312 (44.828) Prec@5 70.703 (70.416)
Epoch: [36][4790/5005] Time 0.202 (0.224) Data 0.041 (0.078) Loss 2.6787 (2.4442) Prec@1 42.969 (44.825) Prec@5 66.406 (70.413)
Epoch: [36][4800/5005] Time 0.202 (0.224) Data 0.040 (0.078) Loss 2.6428 (2.4441) Prec@1 40.234 (44.824) Prec@5 66.406 (70.417)
Epoch: [36][4810/5005] Time 0.199 (0.224) Data 0.050 (0.078) Loss 2.5984 (2.4441) Prec@1 45.312 (44.826) Prec@5 67.969 (70.416)
Epoch: [36][4820/5005] Time 0.194 (0.224) Data 0.048 (0.078) Loss 2.6251 (2.4439) Prec@1 39.844 (44.829) Prec@5 66.016 (70.417)
Epoch: [36][4830/5005] Time 0.212 (0.224) Data 0.043 (0.078) Loss 2.3377 (2.4438) Prec@1 47.656 (44.832) Prec@5 71.484 (70.420)
Epoch: [36][4840/5005] Time 0.201 (0.224) Data 0.049 (0.078) Loss 2.1753 (2.4437) Prec@1 51.562 (44.834) Prec@5 75.781 (70.421)
Epoch: [36][4850/5005] Time 0.212 (0.225) Data 0.055 (0.078) Loss 2.5380 (2.4439) Prec@1 41.406 (44.831) Prec@5 67.188 (70.419)
Epoch: [36][4860/5005] Time 0.194 (0.224) Data 0.046 (0.078) Loss 2.4237 (2.4438) Prec@1 43.359 (44.830) Prec@5 68.359 (70.416)
Epoch: [36][4870/5005] Time 0.196 (0.225) Data 0.052 (0.078) Loss 2.3284 (2.4438) Prec@1 50.000 (44.833) Prec@5 71.875 (70.415)
Epoch: [36][4880/5005] Time 0.214 (0.224) Data 0.042 (0.078) Loss 2.3681 (2.4437) Prec@1 44.141 (44.832) Prec@5 71.094 (70.415)
Epoch: [36][4890/5005] Time 0.194 (0.224) Data 0.111 (0.078) Loss 2.3950 (2.4437) Prec@1 45.312 (44.834) Prec@5 71.875 (70.416)
Epoch: [36][4900/5005] Time 0.203 (0.224) Data 0.049 (0.078) Loss 2.4318 (2.4437) Prec@1 44.922 (44.835) Prec@5 69.141 (70.417)
Epoch: [36][4910/5005] Time 0.202 (0.224) Data 0.047 (0.078) Loss 2.4537 (2.4434) Prec@1 43.359 (44.838) Prec@5 70.703 (70.422)
Epoch: [36][4920/5005] Time 0.196 (0.224) Data 0.057 (0.078) Loss 2.4440 (2.4434) Prec@1 42.188 (44.838) Prec@5 71.875 (70.422)
Epoch: [36][4930/5005] Time 0.601 (0.225) Data 0.520 (0.078) Loss 2.6321 (2.4434) Prec@1 42.578 (44.838) Prec@5 63.672 (70.423)
Epoch: [36][4940/5005] Time 0.204 (0.224) Data 0.044 (0.078) Loss 2.4955 (2.4434) Prec@1 42.969 (44.836) Prec@5 71.094 (70.422)
Epoch: [36][4950/5005] Time 0.201 (0.224) Data 0.048 (0.078) Loss 2.0598 (2.4434) Prec@1 49.219 (44.836) Prec@5 77.344 (70.422)
Epoch: [36][4960/5005] Time 0.205 (0.224) Data 0.056 (0.078) Loss 2.4661 (2.4434) Prec@1 46.875 (44.839) Prec@5 71.484 (70.422)
Epoch: [36][4970/5005] Time 0.199 (0.224) Data 0.059 (0.078) Loss 2.4204 (2.4433) Prec@1 41.406 (44.837) Prec@5 73.438 (70.424)
Epoch: [36][4980/5005] Time 0.205 (0.224) Data 0.051 (0.078) Loss 2.4864 (2.4432) Prec@1 45.703 (44.837) Prec@5 71.484 (70.427)
Epoch: [36][4990/5005] Time 0.202 (0.225) Data 0.029 (0.078) Loss 2.5472 (2.4432) Prec@1 39.453 (44.835) Prec@5 69.141 (70.429)
Epoch: [36][5000/5005] Time 0.201 (0.225) Data 0.028 (0.078) Loss 2.5158 (2.4432) Prec@1 44.922 (44.836) Prec@5 71.094 (70.429)
Test: [0/196] Time 2.267 (2.267) Loss 2.5275 (2.5275) Prec@1 47.266 (47.266) Prec@5 67.969 (67.969)
Test: [10/196] Time 0.042 (0.388) Loss 2.5013 (2.6258) Prec@1 46.875 (43.395) Prec@5 70.312 (68.395)
Test: [20/196] Time 0.043 (0.293) Loss 2.5289 (2.6335) Prec@1 45.312 (42.653) Prec@5 70.703 (67.857)
Test: [30/196] Time 0.044 (0.260) Loss 2.4919 (2.6373) Prec@1 41.016 (42.591) Prec@5 69.141 (67.666)
Test: [40/196] Time 0.931 (0.266) Loss 2.4094 (2.6321) Prec@1 49.609 (42.588) Prec@5 71.094 (67.607)
Test: [50/196] Time 0.044 (0.266) Loss 2.6949 (2.6296) Prec@1 45.703 (42.693) Prec@5 70.312 (67.846)
Test: [60/196] Time 0.044 (0.256) Loss 2.5419 (2.6153) Prec@1 43.750 (42.994) Prec@5 69.141 (68.046)
Test: [70/196] Time 0.092 (0.243) Loss 2.5623 (2.6086) Prec@1 44.922 (43.057) Prec@5 69.141 (68.167)
Test: [80/196] Time 0.318 (0.242) Loss 2.4991 (2.6124) Prec@1 46.875 (42.993) Prec@5 72.656 (68.142)
Test: [90/196] Time 0.446 (0.240) Loss 2.6976 (2.6152) Prec@1 44.531 (43.012) Prec@5 66.797 (68.063)
Test: [100/196] Time 0.346 (0.239) Loss 2.6422 (2.6138) Prec@1 45.703 (43.162) Prec@5 66.016 (68.062)
Test: [110/196] Time 0.042 (0.235) Loss 2.7660 (2.6158) Prec@1 43.359 (43.226) Prec@5 66.406 (68.141)
Test: [120/196] Time 0.557 (0.237) Loss 2.4828 (2.6127) Prec@1 42.969 (43.243) Prec@5 71.875 (68.211)
Test: [130/196] Time 0.534 (0.237) Loss 2.2558 (2.6089) Prec@1 48.047 (43.350) Prec@5 74.609 (68.303)
Test: [140/196] Time 0.467 (0.236) Loss 2.3830 (2.6105) Prec@1 50.391 (43.273) Prec@5 69.531 (68.273)
Test: [150/196] Time 0.042 (0.232) Loss 2.2648 (2.6077) Prec@1 46.875 (43.290) Prec@5 75.781 (68.362)
Test: [160/196] Time 0.098 (0.232) Loss 2.5511 (2.6064) Prec@1 47.266 (43.260) Prec@5 70.312 (68.342)
Test: [170/196] Time 0.351 (0.231) Loss 2.5447 (2.6085) Prec@1 43.750 (43.243) Prec@5 70.312 (68.316)
Test: [180/196] Time 0.339 (0.232) Loss 2.8177 (2.6127) Prec@1 38.281 (43.176) Prec@5 64.453 (68.256)
Test: [190/196] Time 0.043 (0.230) Loss 2.8347 (2.6155) Prec@1 39.844 (43.122) Prec@5 63.281 (68.132)
* Prec@1 43.096 Prec@5 68.166
Learning rate: 0.0001
Epoch: [37][0/5005] Time 2.042 (2.042) Data 1.952 (1.952) Loss 2.4189 (2.4189) Prec@1 44.531 (44.531) Prec@5 73.828 (73.828)
Epoch: [37][10/5005] Time 0.198 (0.367) Data 0.044 (0.226) Loss 2.3275 (2.4789) Prec@1 45.703 (43.324) Prec@5 73.047 (69.886)
Epoch: [37][20/5005] Time 0.198 (0.287) Data 0.046 (0.140) Loss 2.5801 (2.4698) Prec@1 44.141 (43.899) Prec@5 67.188 (70.015)
Epoch: [37][30/5005] Time 0.204 (0.260) Data 0.042 (0.109) Loss 2.3734 (2.4474) Prec@1 44.922 (44.304) Prec@5 69.922 (70.149)
Epoch: [37][40/5005] Time 0.197 (0.245) Data 0.043 (0.093) Loss 2.3065 (2.4495) Prec@1 44.922 (44.560) Prec@5 70.703 (70.046)
Epoch: [37][50/5005] Time 0.202 (0.237) Data 0.041 (0.083) Loss 2.2948 (2.4461) Prec@1 43.359 (44.485) Prec@5 75.391 (70.236)
Epoch: [37][60/5005] Time 0.207 (0.231) Data 0.047 (0.077) Loss 2.4027 (2.4455) Prec@1 42.578 (44.595) Prec@5 71.875 (70.159)
Epoch: [37][70/5005] Time 0.198 (0.227) Data 0.044 (0.072) Loss 2.4321 (2.4535) Prec@1 44.922 (44.449) Prec@5 69.141 (70.147)
Epoch: [37][80/5005] Time 0.209 (0.224) Data 0.042 (0.069) Loss 2.3816 (2.4473) Prec@1 44.922 (44.507) Prec@5 74.219 (70.211)
Epoch: [37][90/5005] Time 0.202 (0.221) Data 0.042 (0.066) Loss 2.5240 (2.4452) Prec@1 41.406 (44.656) Prec@5 70.703 (70.222)
Epoch: [37][100/5005] Time 0.212 (0.219) Data 0.045 (0.064) Loss 2.2672 (2.4494) Prec@1 45.312 (44.516) Prec@5 73.438 (70.146)
Epoch: [37][110/5005] Time 0.198 (0.225) Data 0.048 (0.063) Loss 2.5670 (2.4522) Prec@1 44.531 (44.584) Prec@5 66.797 (70.013)
Epoch: [37][120/5005] Time 0.195 (0.222) Data 0.040 (0.062) Loss 2.4449 (2.4546) Prec@1 38.672 (44.560) Prec@5 67.578 (69.961)
Epoch: [37][130/5005] Time 0.195 (0.221) Data 0.044 (0.061) Loss 2.5777 (2.4549) Prec@1 44.922 (44.534) Prec@5 67.188 (69.961)
Epoch: [37][140/5005] Time 0.197 (0.219) Data 0.041 (0.060) Loss 2.4973 (2.4521) Prec@1 44.141 (44.506) Prec@5 70.312 (70.035)
Epoch: [37][150/5005] Time 0.574 (0.221) Data 0.492 (0.063) Loss 2.5775 (2.4544) Prec@1 47.656 (44.557) Prec@5 67.188 (70.005)
Epoch: [37][160/5005] Time 0.204 (0.220) Data 0.047 (0.063) Loss 2.4741 (2.4554) Prec@1 44.922 (44.582) Prec@5 67.188 (70.000)
Epoch: [37][170/5005] Time 0.204 (0.221) Data 0.039 (0.066) Loss 2.5766 (2.4563) Prec@1 42.578 (44.588) Prec@5 68.359 (69.997)
Epoch: [37][180/5005] Time 0.221 (0.222) Data 0.046 (0.066) Loss 2.6682 (2.4572) Prec@1 42.578 (44.587) Prec@5 66.406 (69.963)
Epoch: [37][190/5005] Time 0.214 (0.222) Data 0.044 (0.065) Loss 2.6163 (2.4631) Prec@1 42.578 (44.449) Prec@5 68.359 (69.893)
Epoch: [37][200/5005] Time 0.897 (0.226) Data 0.797 (0.071) Loss 2.7807 (2.4649) Prec@1 38.672 (44.426) Prec@5 64.844 (69.842)
Epoch: [37][210/5005] Time 0.214 (0.225) Data 0.045 (0.070) Loss 2.2870 (2.4642) Prec@1 47.656 (44.450) Prec@5 71.094 (69.864)
Epoch: [37][220/5005] Time 0.222 (0.225) Data 0.045 (0.070) Loss 2.5076 (2.4651) Prec@1 44.141 (44.464) Prec@5 68.359 (69.841)
Epoch: [37][230/5005] Time 0.208 (0.226) Data 0.046 (0.070) Loss 2.6022 (2.4644) Prec@1 42.188 (44.543) Prec@5 65.625 (69.863)
Epoch: [37][240/5005] Time 0.205 (0.226) Data 0.047 (0.071) Loss 2.3117 (2.4634) Prec@1 46.094 (44.549) Prec@5 72.656 (69.885)
Epoch: [37][250/5005] Time 0.470 (0.227) Data 0.383 (0.072) Loss 2.5584 (2.4623) Prec@1 44.922 (44.547) Prec@5 71.484 (69.928)
Epoch: [37][260/5005] Time 0.227 (0.227) Data 0.143 (0.074) Loss 2.1382 (2.4595) Prec@1 50.781 (44.633) Prec@5 75.391 (69.988)
Epoch: [37][270/5005] Time 0.200 (0.229) Data 0.045 (0.076) Loss 2.5006 (2.4601) Prec@1 45.312 (44.649) Prec@5 68.750 (69.998)
Epoch: [37][280/5005] Time 0.214 (0.229) Data 0.045 (0.076) Loss 2.9091 (2.4630) Prec@1 37.109 (44.602) Prec@5 60.547 (69.922)
Epoch: [37][290/5005] Time 0.211 (0.230) Data 0.052 (0.078) Loss 2.2018 (2.4646) Prec@1 50.391 (44.557) Prec@5 71.875 (69.861)
Epoch: [37][300/5005] Time 0.207 (0.230) Data 0.042 (0.078) Loss 2.2353 (2.4637) Prec@1 46.094 (44.569) Prec@5 73.438 (69.878)
Epoch: [37][310/5005] Time 0.197 (0.230) Data 0.045 (0.078) Loss 2.2775 (2.4607) Prec@1 46.484 (44.657) Prec@5 72.266 (69.944)
Epoch: [37][320/5005] Time 0.215 (0.231) Data 0.046 (0.078) Loss 2.7177 (2.4613) Prec@1 38.672 (44.672) Prec@5 68.750 (69.964)
Epoch: [37][330/5005] Time 0.434 (0.231) Data 0.344 (0.079) Loss 2.2132 (2.4600) Prec@1 49.219 (44.699) Prec@5 73.047 (69.992)
Epoch: [37][340/5005] Time 0.441 (0.232) Data 0.353 (0.080) Loss 2.6244 (2.4632) Prec@1 41.406 (44.638) Prec@5 68.359 (69.942)
Epoch: [37][350/5005] Time 0.212 (0.232) Data 0.057 (0.080) Loss 2.6457 (2.4619) Prec@1 41.016 (44.639) Prec@5 65.625 (69.983)
Epoch: [37][360/5005] Time 0.209 (0.231) Data 0.046 (0.079) Loss 2.5438 (2.4615) Prec@1 41.797 (44.625) Prec@5 71.484 (69.968)
Epoch: [37][370/5005] Time 0.201 (0.231) Data 0.050 (0.078) Loss 2.4540 (2.4594) Prec@1 41.797 (44.630) Prec@5 71.875 (70.008)
Epoch: [37][380/5005] Time 0.200 (0.230) Data 0.046 (0.078) Loss 2.5522 (2.4612) Prec@1 46.484 (44.590) Prec@5 66.797 (69.963)
Epoch: [37][390/5005] Time 0.220 (0.230) Data 0.042 (0.077) Loss 2.4805 (2.4611) Prec@1 47.656 (44.612) Prec@5 70.312 (69.949)
Epoch: [37][400/5005] Time 0.223 (0.229) Data 0.043 (0.076) Loss 2.3767 (2.4593) Prec@1 48.828 (44.628) Prec@5 72.656 (70.001)
Epoch: [37][410/5005] Time 0.215 (0.229) Data 0.041 (0.075) Loss 2.3747 (2.4591) Prec@1 45.312 (44.648) Prec@5 74.219 (70.025)
Epoch: [37][420/5005] Time 0.218 (0.229) Data 0.043 (0.074) Loss 2.4299 (2.4583) Prec@1 47.656 (44.674) Prec@5 68.359 (70.030)
Epoch: [37][430/5005] Time 0.219 (0.229) Data 0.043 (0.074) Loss 2.3530 (2.4581) Prec@1 46.094 (44.677) Prec@5 71.094 (70.043)
Epoch: [37][440/5005] Time 0.216 (0.228) Data 0.041 (0.073) Loss 2.4012 (2.4580) Prec@1 50.000 (44.671) Prec@5 71.094 (70.041)
Epoch: [37][450/5005] Time 0.214 (0.228) Data 0.042 (0.072) Loss 2.3507 (2.4593) Prec@1 43.750 (44.627) Prec@5 70.703 (70.012)
Epoch: [37][460/5005] Time 0.221 (0.228) Data 0.041 (0.072) Loss 2.5474 (2.4600) Prec@1 43.359 (44.617) Prec@5 67.188 (69.996)
Epoch: [37][470/5005] Time 0.207 (0.227) Data 0.045 (0.071) Loss 2.4902 (2.4616) Prec@1 41.406 (44.593) Prec@5 72.266 (69.960)
Epoch: [37][480/5005] Time 0.214 (0.227) Data 0.041 (0.071) Loss 2.5660 (2.4621) Prec@1 41.797 (44.588) Prec@5 67.969 (69.952)
Epoch: [37][490/5005] Time 0.215 (0.227) Data 0.045 (0.070) Loss 2.3180 (2.4617) Prec@1 47.266 (44.569) Prec@5 73.828 (69.947)
Epoch: [37][500/5005] Time 0.219 (0.227) Data 0.042 (0.070) Loss 2.6389 (2.4635) Prec@1 43.359 (44.548) Prec@5 67.578 (69.927)
Epoch: [37][510/5005] Time 0.212 (0.227) Data 0.043 (0.069) Loss 2.6609 (2.4637) Prec@1 38.281 (44.551) Prec@5 67.969 (69.924)
Epoch: [37][520/5005] Time 0.209 (0.226) Data 0.040 (0.069) Loss 2.4838 (2.4633) Prec@1 42.188 (44.560) Prec@5 71.094 (69.942)
Epoch: [37][530/5005] Time 0.223 (0.226) Data 0.045 (0.068) Loss 2.3233 (2.4634) Prec@1 46.094 (44.572) Prec@5 71.875 (69.962)
Epoch: [37][540/5005] Time 0.210 (0.226) Data 0.046 (0.068) Loss 2.7484 (2.4648) Prec@1 39.844 (44.553) Prec@5 67.578 (69.946)
Epoch: [37][550/5005] Time 0.215 (0.226) Data 0.059 (0.067) Loss 2.4463 (2.4648) Prec@1 41.797 (44.557) Prec@5 74.219 (69.953)
Epoch: [37][560/5005] Time 0.209 (0.225) Data 0.052 (0.067) Loss 2.5367 (2.4646) Prec@1 43.750 (44.569) Prec@5 71.094 (69.958)
Epoch: [37][570/5005] Time 0.223 (0.225) Data 0.045 (0.067) Loss 2.5600 (2.4650) Prec@1 46.875 (44.573) Prec@5 67.578 (69.949)
Epoch: [37][580/5005] Time 0.207 (0.225) Data 0.048 (0.066) Loss 2.4976 (2.4643) Prec@1 42.188 (44.584) Prec@5 65.625 (69.953)
Epoch: [37][590/5005] Time 0.211 (0.225) Data 0.044 (0.066) Loss 2.6795 (2.4641) Prec@1 40.234 (44.574) Prec@5 66.406 (69.939)
Epoch: [37][600/5005] Time 0.222 (0.225) Data 0.042 (0.066) Loss 2.2971 (2.4648) Prec@1 46.875 (44.546) Prec@5 75.000 (69.932)
Epoch: [37][610/5005] Time 0.210 (0.224) Data 0.045 (0.065) Loss 2.3936 (2.4646) Prec@1 39.844 (44.533) Prec@5 72.266 (69.940)
Epoch: [37][620/5005] Time 0.216 (0.224) Data 0.045 (0.065) Loss 2.4760 (2.4646) Prec@1 47.656 (44.560) Prec@5 70.703 (69.958)
Epoch: [37][630/5005] Time 0.221 (0.224) Data 0.042 (0.065) Loss 2.7064 (2.4642) Prec@1 41.016 (44.567) Prec@5 66.406 (69.964)
Epoch: [37][640/5005] Time 0.207 (0.224) Data 0.049 (0.064) Loss 2.4382 (2.4644) Prec@1 44.531 (44.557) Prec@5 68.750 (69.957)
Epoch: [37][650/5005] Time 0.214 (0.224) Data 0.052 (0.064) Loss 2.5971 (2.4653) Prec@1 41.016 (44.536) Prec@5 65.625 (69.951)
Epoch: [37][660/5005] Time 0.211 (0.224) Data 0.042 (0.064) Loss 2.4389 (2.4646) Prec@1 44.922 (44.566) Prec@5 71.875 (69.961)
Epoch: [37][670/5005] Time 0.216 (0.223) Data 0.047 (0.064) Loss 2.7020 (2.4643) Prec@1 37.500 (44.558) Prec@5 67.578 (69.957)
Epoch: [37][680/5005] Time 0.214 (0.223) Data 0.043 (0.063) Loss 2.4868 (2.4643) Prec@1 42.578 (44.547) Prec@5 72.266 (69.975)
Epoch: [37][690/5005] Time 0.217 (0.223) Data 0.041 (0.063) Loss 2.4054 (2.4639) Prec@1 45.703 (44.544) Prec@5 74.609 (69.994)
Epoch: [37][700/5005] Time 0.209 (0.223) Data 0.043 (0.063) Loss 2.4644 (2.4639) Prec@1 45.703 (44.536) Prec@5 69.922 (69.987)
Epoch: [37][710/5005] Time 0.217 (0.223) Data 0.042 (0.062) Loss 2.2270 (2.4640) Prec@1 48.047 (44.531) Prec@5 74.219 (69.981)
Epoch: [37][720/5005] Time 0.212 (0.223) Data 0.042 (0.062) Loss 2.4534 (2.4632) Prec@1 44.141 (44.555) Prec@5 68.359 (69.991)
Epoch: [37][730/5005] Time 0.219 (0.223) Data 0.043 (0.062) Loss 2.6275 (2.4636) Prec@1 43.750 (44.553) Prec@5 70.312 (69.991)
Epoch: [37][740/5005] Time 0.219 (0.222) Data 0.063 (0.062) Loss 2.5218 (2.4637) Prec@1 42.969 (44.546) Prec@5 68.750 (69.995)
Epoch: [37][750/5005] Time 0.210 (0.222) Data 0.048 (0.062) Loss 2.3178 (2.4635) Prec@1 44.531 (44.536) Prec@5 75.781 (70.004)
Epoch: [37][760/5005] Time 0.206 (0.222) Data 0.055 (0.061) Loss 2.4623 (2.4638) Prec@1 41.406 (44.529) Prec@5 72.656 (70.008)
Epoch: [37][770/5005] Time 0.208 (0.222) Data 0.047 (0.061) Loss 2.4134 (2.4623) Prec@1 46.484 (44.555) Prec@5 69.531 (70.036)
Epoch: [37][780/5005] Time 0.205 (0.222) Data 0.047 (0.061) Loss 2.4763 (2.4623) Prec@1 45.312 (44.560) Prec@5 68.750 (70.025)
Epoch: [37][790/5005] Time 0.202 (0.222) Data 0.046 (0.061) Loss 2.3699 (2.4623) Prec@1 44.922 (44.569) Prec@5 71.875 (70.034)
Epoch: [37][800/5005] Time 0.212 (0.222) Data 0.046 (0.061) Loss 2.3516 (2.4614) Prec@1 43.359 (44.578) Prec@5 72.656 (70.056)
Epoch: [37][810/5005] Time 0.215 (0.222) Data 0.052 (0.061) Loss 2.4642 (2.4619) Prec@1 42.969 (44.568) Prec@5 69.531 (70.044)
Epoch: [37][820/5005] Time 0.211 (0.222) Data 0.047 (0.061) Loss 2.4912 (2.4621) Prec@1 41.406 (44.568) Prec@5 70.312 (70.040)
Epoch: [37][830/5005] Time 0.205 (0.222) Data 0.065 (0.060) Loss 2.3918 (2.4616) Prec@1 45.703 (44.574) Prec@5 73.438 (70.047)
Epoch: [37][840/5005] Time 0.200 (0.222) Data 0.047 (0.061) Loss 2.4111 (2.4617) Prec@1 46.094 (44.578) Prec@5 67.578 (70.042)
Epoch: [37][850/5005] Time 0.193 (0.222) Data 0.044 (0.061) Loss 2.5929 (2.4611) Prec@1 46.094 (44.596) Prec@5 70.312 (70.053)
Epoch: [37][860/5005] Time 0.204 (0.222) Data 0.045 (0.061) Loss 2.4960 (2.4613) Prec@1 42.969 (44.600) Prec@5 67.969 (70.048)
Epoch: [37][870/5005] Time 0.199 (0.222) Data 0.048 (0.061) Loss 2.4355 (2.4604) Prec@1 42.578 (44.619) Prec@5 73.047 (70.055)
Epoch: [37][880/5005] Time 0.334 (0.222) Data 0.247 (0.061) Loss 2.3351 (2.4604) Prec@1 44.141 (44.614) Prec@5 73.438 (70.060)
Epoch: [37][890/5005] Time 0.208 (0.222) Data 0.047 (0.062) Loss 2.7150 (2.4600) Prec@1 41.406 (44.622) Prec@5 67.188 (70.071)
Epoch: [37][900/5005] Time 0.217 (0.222) Data 0.039 (0.062) Loss 2.2610 (2.4594) Prec@1 48.828 (44.620) Prec@5 74.609 (70.094)
Epoch: [37][910/5005] Time 0.207 (0.222) Data 0.038 (0.062) Loss 2.2957 (2.4596) Prec@1 50.391 (44.619) Prec@5 73.047 (70.085)
Epoch: [37][920/5005] Time 0.218 (0.223) Data 0.040 (0.063) Loss 2.4874 (2.4591) Prec@1 44.141 (44.635) Prec@5 72.266 (70.100)
Epoch: [37][930/5005] Time 0.209 (0.223) Data 0.038 (0.064) Loss 2.3856 (2.4586) Prec@1 48.438 (44.648) Prec@5 68.359 (70.106)
Epoch: [37][940/5005] Time 0.209 (0.223) Data 0.042 (0.064) Loss 2.2714 (2.4586) Prec@1 46.094 (44.644) Prec@5 75.000 (70.119)
Epoch: [37][950/5005] Time 0.212 (0.223) Data 0.043 (0.064) Loss 2.5283 (2.4596) Prec@1 45.312 (44.640) Prec@5 69.531 (70.101)
Epoch: [37][960/5005] Time 0.282 (0.223) Data 0.195 (0.065) Loss 2.6242 (2.4597) Prec@1 43.359 (44.642) Prec@5 66.406 (70.091)
Epoch: [37][970/5005] Time 0.203 (0.223) Data 0.084 (0.065) Loss 2.3800 (2.4594) Prec@1 48.438 (44.650) Prec@5 70.703 (70.085)
Epoch: [37][980/5005] Time 0.210 (0.224) Data 0.057 (0.065) Loss 2.3327 (2.4590) Prec@1 46.484 (44.652) Prec@5 69.531 (70.098)
Epoch: [37][990/5005] Time 0.201 (0.224) Data 0.065 (0.065) Loss 2.5347 (2.4597) Prec@1 45.312 (44.632) Prec@5 69.531 (70.095)
Epoch: [37][1000/5005] Time 0.200 (0.223) Data 0.052 (0.065) Loss 2.4416 (2.4594) Prec@1 44.141 (44.625) Prec@5 69.922 (70.105)
Epoch: [37][1010/5005] Time 0.206 (0.223) Data 0.041 (0.065) Loss 2.3499 (2.4593) Prec@1 43.359 (44.627) Prec@5 71.875 (70.108)
Epoch: [37][1020/5005] Time 0.219 (0.223) Data 0.041 (0.064) Loss 2.1992 (2.4596) Prec@1 48.828 (44.623) Prec@5 73.828 (70.098)
Epoch: [37][1030/5005] Time 0.204 (0.223) Data 0.046 (0.064) Loss 2.3994 (2.4591) Prec@1 45.312 (44.631) Prec@5 70.312 (70.097)
Epoch: [37][1040/5005] Time 0.217 (0.223) Data 0.041 (0.064) Loss 2.6332 (2.4595) Prec@1 39.844 (44.614) Prec@5 66.406 (70.093)
Epoch: [37][1050/5005] Time 0.221 (0.223) Data 0.039 (0.064) Loss 2.6492 (2.4601) Prec@1 40.625 (44.590) Prec@5 62.891 (70.082)
Epoch: [37][1060/5005] Time 0.215 (0.223) Data 0.048 (0.064) Loss 2.5243 (2.4606) Prec@1 42.969 (44.583) Prec@5 70.312 (70.074)
Epoch: [37][1070/5005] Time 0.203 (0.223) Data 0.050 (0.064) Loss 2.4122 (2.4604) Prec@1 42.969 (44.580) Prec@5 70.312 (70.067)
Epoch: [37][1080/5005] Time 0.214 (0.223) Data 0.041 (0.063) Loss 2.5000 (2.4607) Prec@1 41.797 (44.574) Prec@5 72.266 (70.062)
Epoch: [37][1090/5005] Time 0.205 (0.222) Data 0.049 (0.063) Loss 2.2652 (2.4604) Prec@1 47.656 (44.580) Prec@5 73.828 (70.070)
Epoch: [37][1100/5005] Time 0.216 (0.222) Data 0.047 (0.063) Loss 2.3945 (2.4601) Prec@1 46.484 (44.582) Prec@5 72.656 (70.077)
Epoch: [37][1110/5005] Time 0.215 (0.222) Data 0.046 (0.063) Loss 2.4887 (2.4601) Prec@1 40.625 (44.586) Prec@5 70.312 (70.079)
Epoch: [37][1120/5005] Time 0.219 (0.222) Data 0.047 (0.063) Loss 2.4125 (2.4594) Prec@1 49.219 (44.613) Prec@5 67.188 (70.093)
Epoch: [37][1130/5005] Time 0.218 (0.222) Data 0.054 (0.063) Loss 2.5025 (2.4599) Prec@1 44.531 (44.604) Prec@5 68.750 (70.086)
Epoch: [37][1140/5005] Time 0.214 (0.222) Data 0.047 (0.063) Loss 2.5564 (2.4597) Prec@1 41.797 (44.606) Prec@5 70.312 (70.100)
Epoch: [37][1150/5005] Time 0.207 (0.222) Data 0.039 (0.062) Loss 2.3338 (2.4588) Prec@1 43.359 (44.624) Prec@5 72.266 (70.117)
Epoch: [37][1160/5005] Time 0.211 (0.222) Data 0.040 (0.062) Loss 2.5982 (2.4587) Prec@1 41.406 (44.625) Prec@5 65.625 (70.113)
Epoch: [37][1170/5005] Time 0.211 (0.222) Data 0.044 (0.062) Loss 2.3583 (2.4584) Prec@1 47.266 (44.630) Prec@5 69.922 (70.116)
Epoch: [37][1180/5005] Time 0.213 (0.221) Data 0.044 (0.062) Loss 2.5067 (2.4582) Prec@1 43.359 (44.620) Prec@5 66.406 (70.117)
Epoch: [37][1190/5005] Time 0.207 (0.221) Data 0.045 (0.062) Loss 2.3229 (2.4582) Prec@1 43.359 (44.626) Prec@5 73.828 (70.121)
Epoch: [37][1200/5005] Time 0.215 (0.222) Data 0.054 (0.062) Loss 2.5756 (2.4582) Prec@1 41.797 (44.621) Prec@5 68.750 (70.129)
Epoch: [37][1210/5005] Time 0.199 (0.221) Data 0.045 (0.062) Loss 2.4721 (2.4589) Prec@1 44.922 (44.612) Prec@5 70.703 (70.124)
Epoch: [37][1220/5005] Time 0.203 (0.221) Data 0.048 (0.062) Loss 2.4735 (2.4591) Prec@1 43.750 (44.608) Prec@5 67.188 (70.115)
Epoch: [37][1230/5005] Time 0.256 (0.221) Data 0.171 (0.062) Loss 2.5704 (2.4592) Prec@1 39.844 (44.601) Prec@5 69.531 (70.110)
Epoch: [37][1240/5005] Time 0.198 (0.221) Data 0.108 (0.063) Loss 2.4413 (2.4595) Prec@1 46.094 (44.593) Prec@5 71.484 (70.099)
Epoch: [37][1250/5005] Time 0.205 (0.222) Data 0.043 (0.063) Loss 2.6232 (2.4597) Prec@1 44.531 (44.595) Prec@5 67.578 (70.091)
Epoch: [37][1260/5005] Time 0.196 (0.222) Data 0.043 (0.063) Loss 2.1425 (2.4592) Prec@1 49.609 (44.597) Prec@5 74.609 (70.099)
Epoch: [37][1270/5005] Time 0.619 (0.222) Data 0.532 (0.064) Loss 2.5889 (2.4599) Prec@1 41.797 (44.596) Prec@5 69.531 (70.081)
Epoch: [37][1280/5005] Time 0.207 (0.222) Data 0.060 (0.064) Loss 2.5304 (2.4600) Prec@1 45.312 (44.595) Prec@5 67.969 (70.082)
Epoch: [37][1290/5005] Time 0.205 (0.222) Data 0.044 (0.063) Loss 2.2494 (2.4599) Prec@1 50.000 (44.597) Prec@5 75.000 (70.085)
Epoch: [37][1300/5005] Time 0.202 (0.222) Data 0.046 (0.063) Loss 2.3726 (2.4598) Prec@1 45.703 (44.594) Prec@5 72.266 (70.091)
Epoch: [37][1310/5005] Time 0.215 (0.222) Data 0.043 (0.063) Loss 2.3955 (2.4595) Prec@1 46.484 (44.597) Prec@5 71.094 (70.100)
Epoch: [37][1320/5005] Time 0.211 (0.222) Data 0.043 (0.063) Loss 2.5710 (2.4596) Prec@1 44.531 (44.593) Prec@5 68.750 (70.105)
Epoch: [37][1330/5005] Time 0.207 (0.222) Data 0.045 (0.064) Loss 2.6987 (2.4599) Prec@1 42.578 (44.585) Prec@5 65.234 (70.099)
Epoch: [37][1340/5005] Time 0.210 (0.222) Data 0.041 (0.064) Loss 2.4259 (2.4598) Prec@1 44.531 (44.591) Prec@5 69.141 (70.100)
Epoch: [37][1350/5005] Time 0.204 (0.222) Data 0.051 (0.064) Loss 2.8310 (2.4603) Prec@1 41.406 (44.575) Prec@5 64.062 (70.096)
Epoch: [37][1360/5005] Time 0.506 (0.222) Data 0.416 (0.064) Loss 2.2940 (2.4601) Prec@1 45.312 (44.574) Prec@5 74.609 (70.097)
Epoch: [37][1370/5005] Time 0.201 (0.222) Data 0.043 (0.064) Loss 2.4320 (2.4600) Prec@1 44.141 (44.574) Prec@5 71.094 (70.099)
Epoch: [37][1380/5005] Time 0.199 (0.222) Data 0.051 (0.064) Loss 2.5802 (2.4598) Prec@1 41.797 (44.576) Prec@5 69.531 (70.105)
Epoch: [37][1390/5005] Time 0.292 (0.222) Data 0.202 (0.064) Loss 2.4436 (2.4600) Prec@1 40.625 (44.574) Prec@5 72.266 (70.098)
Epoch: [37][1400/5005] Time 0.207 (0.222) Data 0.054 (0.065) Loss 2.5023 (2.4593) Prec@1 43.750 (44.581) Prec@5 69.922 (70.117)
Epoch: [37][1410/5005] Time 0.206 (0.222) Data 0.046 (0.065) Loss 2.3558 (2.4589) Prec@1 48.047 (44.592) Prec@5 73.047 (70.125)
Epoch: [37][1420/5005] Time 0.213 (0.222) Data 0.041 (0.065) Loss 2.6574 (2.4593) Prec@1 42.969 (44.586) Prec@5 65.625 (70.118)
Epoch: [37][1430/5005] Time 0.306 (0.222) Data 0.218 (0.065) Loss 2.1196 (2.4588) Prec@1 51.172 (44.604) Prec@5 74.219 (70.129)
Epoch: [37][1440/5005] Time 0.206 (0.222) Data 0.095 (0.065) Loss 2.2681 (2.4585) Prec@1 50.391 (44.606) Prec@5 74.219 (70.129)
Epoch: [37][1450/5005] Time 0.200 (0.222) Data 0.051 (0.065) Loss 2.2669 (2.4587) Prec@1 50.781 (44.613) Prec@5 73.438 (70.122)
Epoch: [37][1460/5005] Time 0.211 (0.222) Data 0.046 (0.065) Loss 2.5043 (2.4586) Prec@1 42.969 (44.618) Prec@5 68.750 (70.122)
Epoch: [37][1470/5005] Time 0.197 (0.222) Data 0.046 (0.065) Loss 2.5496 (2.4590) Prec@1 42.578 (44.614) Prec@5 69.141 (70.109)
Epoch: [37][1480/5005] Time 0.213 (0.222) Data 0.049 (0.066) Loss 2.2010 (2.4590) Prec@1 49.219 (44.612) Prec@5 74.219 (70.103)
Epoch: [37][1490/5005] Time 0.213 (0.222) Data 0.046 (0.065) Loss 2.6868 (2.4589) Prec@1 42.578 (44.612) Prec@5 67.969 (70.108)
Epoch: [37][1500/5005] Time 0.204 (0.222) Data 0.045 (0.065) Loss 2.5654 (2.4586) Prec@1 41.797 (44.619) Prec@5 67.578 (70.112)
Epoch: [37][1510/5005] Time 0.475 (0.222) Data 0.392 (0.066) Loss 2.3156 (2.4583) Prec@1 47.656 (44.621) Prec@5 72.266 (70.113)
Epoch: [37][1520/5005] Time 0.207 (0.222) Data 0.049 (0.066) Loss 2.6139 (2.4582) Prec@1 42.578 (44.622) Prec@5 69.141 (70.117)
Epoch: [37][1530/5005] Time 0.205 (0.222) Data 0.046 (0.066) Loss 2.6190 (2.4582) Prec@1 43.750 (44.622) Prec@5 66.406 (70.112)
Epoch: [37][1540/5005] Time 0.207 (0.222) Data 0.042 (0.066) Loss 2.5750 (2.4587) Prec@1 44.922 (44.613) Prec@5 67.969 (70.100)
Epoch: [37][1550/5005] Time 0.199 (0.223) Data 0.046 (0.066) Loss 2.4446 (2.4583) Prec@1 45.703 (44.616) Prec@5 70.703 (70.103)
Epoch: [37][1560/5005] Time 0.203 (0.222) Data 0.041 (0.066) Loss 2.4121 (2.4585) Prec@1 43.750 (44.613) Prec@5 69.531 (70.102)
Epoch: [37][1570/5005] Time 0.198 (0.223) Data 0.060 (0.067) Loss 2.2698 (2.4581) Prec@1 50.000 (44.625) Prec@5 73.047 (70.110)
Epoch: [37][1580/5005] Time 0.197 (0.223) Data 0.046 (0.067) Loss 2.3210 (2.4583) Prec@1 45.703 (44.617) Prec@5 69.922 (70.105)
Epoch: [37][1590/5005] Time 0.196 (0.223) Data 0.051 (0.067) Loss 2.4925 (2.4582) Prec@1 46.094 (44.614) Prec@5 69.531 (70.103)
Epoch: [37][1600/5005] Time 0.201 (0.223) Data 0.068 (0.067) Loss 2.4344 (2.4583) Prec@1 45.703 (44.614) Prec@5 67.578 (70.095)
Epoch: [37][1610/5005] Time 0.201 (0.223) Data 0.050 (0.068) Loss 2.5121 (2.4585) Prec@1 42.188 (44.612) Prec@5 71.094 (70.091)
Epoch: [37][1620/5005] Time 0.197 (0.223) Data 0.068 (0.068) Loss 2.6788 (2.4583) Prec@1 39.844 (44.614) Prec@5 67.578 (70.092)
Epoch: [37][1630/5005] Time 0.195 (0.223) Data 0.041 (0.068) Loss 2.2498 (2.4583) Prec@1 48.828 (44.611) Prec@5 71.875 (70.094)
Epoch: [37][1640/5005] Time 0.324 (0.223) Data 0.235 (0.068) Loss 2.4247 (2.4588) Prec@1 46.875 (44.611) Prec@5 69.531 (70.085)
Epoch: [37][1650/5005] Time 0.202 (0.223) Data 0.117 (0.068) Loss 2.5182 (2.4588) Prec@1 45.703 (44.615) Prec@5 65.625 (70.084)
Epoch: [37][1660/5005] Time 0.211 (0.223) Data 0.052 (0.068) Loss 2.3348 (2.4581) Prec@1 49.609 (44.632) Prec@5 71.875 (70.090)
Epoch: [37][1670/5005] Time 0.208 (0.223) Data 0.049 (0.068) Loss 2.2419 (2.4580) Prec@1 51.953 (44.636) Prec@5 71.484 (70.093)
Epoch: [37][1680/5005] Time 0.211 (0.223) Data 0.055 (0.068) Loss 2.6563 (2.4580) Prec@1 44.922 (44.630) Prec@5 68.359 (70.091)
Epoch: [37][1690/5005] Time 0.203 (0.223) Data 0.045 (0.068) Loss 2.3323 (2.4577) Prec@1 46.875 (44.636) Prec@5 73.047 (70.098)
Epoch: [37][1700/5005] Time 0.203 (0.223) Data 0.046 (0.068) Loss 2.3614 (2.4571) Prec@1 46.094 (44.648) Prec@5 73.828 (70.113)
Epoch: [37][1710/5005] Time 0.206 (0.223) Data 0.042 (0.068) Loss 2.3212 (2.4566) Prec@1 44.922 (44.652) Prec@5 73.047 (70.127)
Epoch: [37][1720/5005] Time 0.202 (0.223) Data 0.040 (0.068) Loss 2.5185 (2.4565) Prec@1 42.578 (44.652) Prec@5 70.312 (70.130)
Epoch: [37][1730/5005] Time 0.216 (0.223) Data 0.042 (0.068) Loss 2.4137 (2.4564) Prec@1 42.969 (44.649) Prec@5 71.094 (70.136)
Epoch: [37][1740/5005] Time 0.225 (0.223) Data 0.139 (0.068) Loss 2.5779 (2.4561) Prec@1 40.625 (44.648) Prec@5 70.312 (70.146)
Epoch: [37][1750/5005] Time 0.534 (0.223) Data 0.451 (0.068) Loss 2.4132 (2.4559) Prec@1 44.531 (44.654) Prec@5 71.094 (70.152)
Epoch: [37][1760/5005] Time 0.208 (0.223) Data 0.041 (0.068) Loss 2.1850 (2.4558) Prec@1 50.000 (44.663) Prec@5 76.562 (70.158)
Epoch: [37][1770/5005] Time 0.214 (0.223) Data 0.042 (0.068) Loss 2.5433 (2.4556) Prec@1 42.188 (44.663) Prec@5 67.969 (70.162)
Epoch: [37][1780/5005] Time 0.208 (0.223) Data 0.042 (0.068) Loss 2.3386 (2.4554) Prec@1 46.875 (44.665) Prec@5 74.219 (70.159)
Epoch: [37][1790/5005] Time 0.336 (0.223) Data 0.248 (0.068) Loss 2.2245 (2.4551) Prec@1 51.953 (44.671) Prec@5 72.656 (70.160)
Epoch: [37][1800/5005] Time 0.215 (0.223) Data 0.052 (0.068) Loss 2.4065 (2.4548) Prec@1 44.531 (44.679) Prec@5 72.656 (70.165)
Epoch: [37][1810/5005] Time 0.208 (0.223) Data 0.046 (0.068) Loss 2.3299 (2.4545) Prec@1 48.047 (44.679) Prec@5 71.094 (70.174)
Epoch: [37][1820/5005] Time 0.204 (0.223) Data 0.050 (0.068) Loss 2.4569 (2.4545) Prec@1 40.234 (44.675) Prec@5 71.484 (70.170)
Epoch: [37][1830/5005] Time 0.201 (0.223) Data 0.050 (0.068) Loss 2.2774 (2.4540) Prec@1 39.453 (44.681) Prec@5 73.047 (70.177)
Epoch: [37][1840/5005] Time 0.201 (0.223) Data 0.052 (0.069) Loss 2.4913 (2.4537) Prec@1 45.312 (44.690) Prec@5 69.922 (70.183)
Epoch: [37][1850/5005] Time 0.198 (0.223) Data 0.043 (0.069) Loss 2.3108 (2.4533) Prec@1 46.875 (44.701) Prec@5 71.484 (70.193)
Epoch: [37][1860/5005] Time 0.588 (0.223) Data 0.505 (0.069) Loss 2.3717 (2.4535) Prec@1 51.562 (44.703) Prec@5 72.266 (70.190)
Epoch: [37][1870/5005] Time 0.207 (0.223) Data 0.054 (0.069) Loss 2.5503 (2.4536) Prec@1 39.453 (44.702) Prec@5 69.141 (70.189)
Epoch: [37][1880/5005] Time 0.200 (0.223) Data 0.050 (0.069) Loss 2.4763 (2.4538) Prec@1 48.438 (44.701) Prec@5 68.750 (70.185)
Epoch: [37][1890/5005] Time 0.204 (0.223) Data 0.045 (0.069) Loss 2.4882 (2.4538) Prec@1 46.875 (44.704) Prec@5 72.266 (70.187)
Epoch: [37][1900/5005] Time 0.273 (0.223) Data 0.185 (0.069) Loss 2.2766 (2.4540) Prec@1 48.828 (44.698) Prec@5 73.438 (70.182)
Epoch: [37][1910/5005] Time 0.202 (0.223) Data 0.054 (0.070) Loss 2.3697 (2.4540) Prec@1 46.484 (44.703) Prec@5 74.609 (70.179)
Epoch: [37][1920/5005] Time 0.413 (0.224) Data 0.325 (0.070) Loss 2.3880 (2.4538) Prec@1 42.969 (44.703) Prec@5 71.484 (70.184)
Epoch: [37][1930/5005] Time 0.195 (0.224) Data 0.046 (0.070) Loss 2.3566 (2.4537) Prec@1 48.438 (44.705) Prec@5 72.266 (70.190)
Epoch: [37][1940/5005] Time 0.208 (0.223) Data 0.062 (0.070) Loss 2.2261 (2.4532) Prec@1 50.781 (44.712) Prec@5 71.484 (70.196)
Epoch: [37][1950/5005] Time 0.201 (0.223) Data 0.052 (0.070) Loss 2.4564 (2.4531) Prec@1 43.750 (44.714) Prec@5 67.578 (70.200)
Epoch: [37][1960/5005] Time 0.203 (0.223) Data 0.050 (0.070) Loss 2.5105 (2.4530) Prec@1 43.750 (44.712) Prec@5 69.922 (70.204)
Epoch: [37][1970/5005] Time 0.204 (0.223) Data 0.052 (0.070) Loss 2.4755 (2.4532) Prec@1 45.312 (44.709) Prec@5 69.531 (70.196)
Epoch: [37][1980/5005] Time 0.207 (0.223) Data 0.049 (0.070) Loss 2.3402 (2.4531) Prec@1 46.875 (44.708) Prec@5 70.312 (70.196)
Epoch: [37][1990/5005] Time 0.212 (0.223) Data 0.042 (0.070) Loss 2.3558 (2.4530) Prec@1 43.359 (44.706) Prec@5 70.703 (70.199)
Epoch: [37][2000/5005] Time 0.210 (0.223) Data 0.039 (0.070) Loss 2.3335 (2.4531) Prec@1 46.875 (44.707) Prec@5 71.484 (70.197)
Epoch: [37][2010/5005] Time 0.305 (0.223) Data 0.226 (0.070) Loss 2.3742 (2.4532) Prec@1 46.875 (44.706) Prec@5 69.922 (70.194)
Epoch: [37][2020/5005] Time 0.204 (0.223) Data 0.048 (0.070) Loss 2.3676 (2.4532) Prec@1 46.484 (44.706) Prec@5 68.750 (70.192)
Epoch: [37][2030/5005] Time 0.202 (0.223) Data 0.060 (0.070) Loss 2.3546 (2.4533) Prec@1 45.703 (44.706) Prec@5 73.047 (70.191)
Epoch: [37][2040/5005] Time 0.381 (0.223) Data 0.296 (0.070) Loss 2.1259 (2.4530) Prec@1 50.391 (44.712) Prec@5 76.172 (70.197)
Epoch: [37][2050/5005] Time 0.207 (0.223) Data 0.048 (0.070) Loss 2.4535 (2.4528) Prec@1 44.141 (44.713) Prec@5 69.141 (70.201)
Epoch: [37][2060/5005] Time 0.207 (0.223) Data 0.053 (0.070) Loss 2.3676 (2.4527) Prec@1 44.922 (44.711) Prec@5 72.656 (70.203)
Epoch: [37][2070/5005] Time 0.202 (0.223) Data 0.043 (0.070) Loss 2.6406 (2.4528) Prec@1 41.406 (44.710) Prec@5 67.578 (70.201)
Epoch: [37][2080/5005] Time 0.194 (0.223) Data 0.050 (0.070) Loss 2.5127 (2.4528) Prec@1 44.922 (44.712) Prec@5 68.750 (70.201)
Epoch: [37][2090/5005] Time 0.296 (0.223) Data 0.211 (0.070) Loss 2.3280 (2.4523) Prec@1 47.266 (44.720) Prec@5 72.656 (70.211)
Epoch: [37][2100/5005] Time 0.195 (0.223) Data 0.048 (0.070) Loss 2.4764 (2.4519) Prec@1 45.703 (44.725) Prec@5 69.922 (70.219)
Epoch: [37][2110/5005] Time 0.232 (0.223) Data 0.144 (0.070) Loss 2.2691 (2.4518) Prec@1 44.922 (44.727) Prec@5 72.656 (70.221)
Epoch: [37][2120/5005] Time 0.217 (0.224) Data 0.047 (0.071) Loss 2.5641 (2.4519) Prec@1 43.750 (44.725) Prec@5 68.359 (70.218)
Epoch: [37][2130/5005] Time 0.203 (0.224) Data 0.088 (0.071) Loss 2.4071 (2.4514) Prec@1 45.312 (44.734) Prec@5 67.969 (70.224)
Epoch: [37][2140/5005] Time 0.212 (0.224) Data 0.047 (0.071) Loss 2.2829 (2.4514) Prec@1 45.312 (44.731) Prec@5 71.484 (70.223)
Epoch: [37][2150/5005] Time 0.192 (0.224) Data 0.047 (0.071) Loss 2.3478 (2.4515) Prec@1 42.578 (44.731) Prec@5 72.266 (70.220)
Epoch: [37][2160/5005] Time 0.219 (0.224) Data 0.042 (0.071) Loss 2.3188 (2.4513) Prec@1 44.922 (44.733) Prec@5 73.828 (70.223)
Epoch: [37][2170/5005] Time 0.202 (0.224) Data 0.084 (0.071) Loss 2.3364 (2.4509) Prec@1 45.312 (44.743) Prec@5 71.875 (70.227)
Epoch: [37][2180/5005] Time 0.199 (0.224) Data 0.050 (0.071) Loss 2.5082 (2.4510) Prec@1 48.047 (44.745) Prec@5 68.359 (70.226)
Epoch: [37][2190/5005] Time 0.204 (0.224) Data 0.043 (0.071) Loss 2.6040 (2.4508) Prec@1 41.016 (44.747) Prec@5 67.578 (70.232)
Epoch: [37][2200/5005] Time 0.199 (0.224) Data 0.054 (0.071) Loss 2.4167 (2.4509) Prec@1 43.750 (44.745) Prec@5 69.922 (70.232)
Epoch: [37][2210/5005] Time 0.207 (0.224) Data 0.049 (0.072) Loss 2.4440 (2.4509) Prec@1 44.141 (44.742) Prec@5 69.922 (70.234)
Epoch: [37][2220/5005] Time 0.201 (0.224) Data 0.042 (0.072) Loss 2.6104 (2.4508) Prec@1 43.750 (44.738) Prec@5 66.016 (70.234)
Epoch: [37][2230/5005] Time 0.219 (0.224) Data 0.041 (0.072) Loss 2.4546 (2.4507) Prec@1 43.750 (44.742) Prec@5 70.703 (70.231)
Epoch: [37][2240/5005] Time 0.197 (0.224) Data 0.057 (0.072) Loss 2.5139 (2.4508) Prec@1 46.875 (44.737) Prec@5 71.484 (70.230)
Epoch: [37][2250/5005] Time 0.324 (0.224) Data 0.240 (0.072) Loss 2.3388 (2.4510) Prec@1 44.141 (44.735) Prec@5 70.312 (70.230)
Epoch: [37][2260/5005] Time 0.211 (0.224) Data 0.043 (0.072) Loss 2.3399 (2.4507) Prec@1 41.797 (44.736) Prec@5 74.219 (70.235)
Epoch: [37][2270/5005] Time 0.205 (0.224) Data 0.040 (0.072) Loss 2.7414 (2.4506) Prec@1 36.328 (44.736) Prec@5 64.844 (70.236)
Epoch: [37][2280/5005] Time 0.213 (0.224) Data 0.045 (0.071) Loss 2.5094 (2.4505) Prec@1 46.094 (44.739) Prec@5 73.828 (70.241)
Epoch: [37][2290/5005] Time 0.208 (0.224) Data 0.082 (0.071) Loss 2.3522 (2.4505) Prec@1 50.000 (44.740) Prec@5 72.266 (70.239)
Epoch: [37][2300/5005] Time 0.201 (0.224) Data 0.046 (0.072) Loss 2.3578 (2.4504) Prec@1 44.141 (44.743) Prec@5 69.531 (70.241)
Epoch: [37][2310/5005] Time 0.210 (0.224) Data 0.041 (0.072) Loss 2.3174 (2.4503) Prec@1 47.656 (44.747) Prec@5 69.141 (70.240)
Epoch: [37][2320/5005] Time 0.204 (0.224) Data 0.093 (0.072) Loss 2.5677 (2.4504) Prec@1 42.188 (44.744) Prec@5 67.969 (70.238)
Epoch: [37][2330/5005] Time 0.201 (0.224) Data 0.054 (0.072) Loss 2.5166 (2.4504) Prec@1 42.578 (44.736) Prec@5 69.141 (70.241)
Epoch: [37][2340/5005] Time 0.201 (0.224) Data 0.100 (0.072) Loss 2.4656 (2.4502) Prec@1 41.406 (44.738) Prec@5 69.922 (70.244)
Epoch: [37][2350/5005] Time 0.205 (0.224) Data 0.092 (0.072) Loss 2.3500 (2.4502) Prec@1 44.141 (44.735) Prec@5 68.359 (70.243)
Epoch: [37][2360/5005] Time 0.204 (0.224) Data 0.055 (0.072) Loss 2.3425 (2.4501) Prec@1 47.266 (44.736) Prec@5 71.484 (70.249)
Epoch: [37][2370/5005] Time 0.199 (0.224) Data 0.090 (0.072) Loss 2.5291 (2.4501) Prec@1 41.797 (44.729) Prec@5 66.797 (70.250)
Epoch: [37][2380/5005] Time 0.198 (0.224) Data 0.048 (0.072) Loss 2.4051 (2.4499) Prec@1 44.141 (44.734) Prec@5 71.094 (70.256)
Epoch: [37][2390/5005] Time 0.203 (0.224) Data 0.046 (0.072) Loss 2.4664 (2.4497) Prec@1 45.703 (44.737) Prec@5 70.312 (70.261)
Epoch: [37][2400/5005] Time 0.203 (0.224) Data 0.041 (0.072) Loss 2.4396 (2.4496) Prec@1 41.797 (44.737) Prec@5 71.094 (70.263)
Epoch: [37][2410/5005] Time 0.235 (0.224) Data 0.148 (0.072) Loss 2.6247 (2.4497) Prec@1 41.406 (44.731) Prec@5 68.750 (70.262)
Epoch: [37][2420/5005] Time 0.212 (0.224) Data 0.043 (0.072) Loss 2.5623 (2.4496) Prec@1 44.141 (44.736) Prec@5 67.969 (70.267)
Epoch: [37][2430/5005] Time 0.211 (0.224) Data 0.052 (0.072) Loss 2.5053 (2.4498) Prec@1 45.312 (44.729) Prec@5 69.922 (70.267)
Epoch: [37][2440/5005] Time 0.205 (0.224) Data 0.043 (0.072) Loss 2.1780 (2.4496) Prec@1 48.828 (44.732) Prec@5 74.609 (70.271)
Epoch: [37][2450/5005] Time 0.194 (0.224) Data 0.049 (0.072) Loss 2.4672 (2.4495) Prec@1 42.969 (44.733) Prec@5 68.359 (70.275)
Epoch: [37][2460/5005] Time 0.197 (0.224) Data 0.090 (0.072) Loss 2.4488 (2.4495) Prec@1 42.578 (44.734) Prec@5 71.484 (70.271)
Epoch: [37][2470/5005] Time 0.201 (0.224) Data 0.054 (0.072) Loss 2.3470 (2.4494) Prec@1 46.875 (44.733) Prec@5 67.969 (70.270)
Epoch: [37][2480/5005] Time 0.191 (0.224) Data 0.052 (0.072) Loss 2.5590 (2.4495) Prec@1 42.188 (44.727) Prec@5 69.531 (70.272)
Epoch: [37][2490/5005] Time 0.206 (0.224) Data 0.111 (0.072) Loss 2.2566 (2.4494) Prec@1 47.266 (44.724) Prec@5 75.000 (70.276)
Epoch: [37][2500/5005] Time 0.203 (0.224) Data 0.050 (0.073) Loss 2.4597 (2.4495) Prec@1 45.703 (44.726) Prec@5 71.094 (70.275)
Epoch: [37][2510/5005] Time 0.195 (0.224) Data 0.046 (0.073) Loss 2.5888 (2.4495) Prec@1 42.578 (44.724) Prec@5 72.266 (70.277)
Epoch: [37][2520/5005] Time 0.206 (0.224) Data 0.042 (0.073) Loss 2.3031 (2.4495) Prec@1 48.828 (44.724) Prec@5 72.266 (70.278)
Epoch: [37][2530/5005] Time 0.205 (0.224) Data 0.051 (0.073) Loss 2.6398 (2.4496) Prec@1 42.188 (44.722) Prec@5 67.188 (70.276)
Epoch: [37][2540/5005] Time 0.199 (0.224) Data 0.047 (0.073) Loss 2.5714 (2.4496) Prec@1 43.359 (44.721) Prec@5 69.922 (70.276)
Epoch: [37][2550/5005] Time 0.196 (0.224) Data 0.048 (0.073) Loss 2.3814 (2.4495) Prec@1 45.312 (44.727) Prec@5 70.703 (70.278)
Epoch: [37][2560/5005] Time 0.197 (0.224) Data 0.046 (0.073) Loss 2.5702 (2.4496) Prec@1 42.969 (44.726) Prec@5 65.625 (70.273)
Epoch: [37][2570/5005] Time 0.209 (0.224) Data 0.042 (0.073) Loss 2.4589 (2.4496) Prec@1 43.750 (44.730) Prec@5 69.922 (70.273)
Epoch: [37][2580/5005] Time 0.531 (0.224) Data 0.440 (0.073) Loss 2.5248 (2.4501) Prec@1 44.531 (44.719) Prec@5 69.141 (70.264)
Epoch: [37][2590/5005] Time 0.200 (0.224) Data 0.047 (0.073) Loss 2.5695 (2.4499) Prec@1 42.969 (44.725) Prec@5 68.359 (70.265)
Epoch: [37][2600/5005] Time 0.209 (0.224) Data 0.039 (0.073) Loss 2.6083 (2.4502) Prec@1 42.969 (44.719) Prec@5 68.359 (70.264)
Epoch: [37][2610/5005] Time 0.198 (0.224) Data 0.109 (0.073) Loss 2.5369 (2.4501) Prec@1 42.969 (44.721) Prec@5 67.578 (70.264)
Epoch: [37][2620/5005] Time 0.208 (0.224) Data 0.045 (0.073) Loss 2.3449 (2.4501) Prec@1 47.266 (44.719) Prec@5 71.094 (70.267)
Epoch: [37][2630/5005] Time 0.358 (0.224) Data 0.264 (0.073) Loss 2.6352 (2.4505) Prec@1 39.844 (44.711) Prec@5 66.406 (70.261)
Epoch: [37][2640/5005] Time 0.202 (0.224) Data 0.044 (0.073) Loss 2.6644 (2.4504) Prec@1 37.500 (44.711) Prec@5 64.453 (70.262)
Epoch: [37][2650/5005] Time 0.202 (0.224) Data 0.055 (0.073) Loss 2.5924 (2.4504) Prec@1 41.797 (44.713) Prec@5 66.406 (70.266)
Epoch: [37][2660/5005] Time 0.199 (0.224) Data 0.047 (0.073) Loss 2.4012 (2.4503) Prec@1 42.969 (44.714) Prec@5 70.703 (70.268)
Epoch: [37][2670/5005] Time 0.211 (0.224) Data 0.053 (0.073) Loss 2.0656 (2.4500) Prec@1 52.734 (44.723) Prec@5 77.734 (70.271)
Epoch: [37][2680/5005] Time 0.202 (0.224) Data 0.125 (0.074) Loss 2.4031 (2.4500) Prec@1 46.094 (44.722) Prec@5 70.703 (70.268)
Epoch: [37][2690/5005] Time 0.198 (0.224) Data 0.040 (0.074) Loss 2.4101 (2.4499) Prec@1 47.266 (44.726) Prec@5 70.703 (70.268)
Epoch: [37][2700/5005] Time 0.210 (0.224) Data 0.046 (0.074) Loss 2.3710 (2.4499) Prec@1 45.312 (44.723) Prec@5 70.703 (70.266)
Epoch: [37][2710/5005] Time 0.201 (0.224) Data 0.043 (0.074) Loss 2.2972 (2.4499) Prec@1 45.312 (44.717) Prec@5 73.047 (70.266)
Epoch: [37][2720/5005] Time 0.416 (0.224) Data 0.325 (0.074) Loss 2.4406 (2.4499) Prec@1 44.141 (44.716) Prec@5 72.266 (70.267)
Epoch: [37][2730/5005] Time 0.196 (0.224) Data 0.095 (0.074) Loss 2.5196 (2.4496) Prec@1 46.094 (44.723) Prec@5 69.531 (70.268)
Epoch: [37][2740/5005] Time 0.208 (0.224) Data 0.044 (0.074) Loss 2.2977 (2.4495) Prec@1 48.047 (44.726) Prec@5 74.609 (70.271)
Epoch: [37][2750/5005] Time 0.203 (0.224) Data 0.050 (0.074) Loss 2.3125 (2.4493) Prec@1 46.094 (44.733) Prec@5 72.656 (70.274)
Epoch: [37][2760/5005] Time 0.207 (0.224) Data 0.061 (0.074) Loss 2.3752 (2.4492) Prec@1 46.484 (44.736) Prec@5 72.656 (70.279)
Epoch: [37][2770/5005] Time 0.207 (0.224) Data 0.040 (0.074) Loss 2.3932 (2.4491) Prec@1 47.266 (44.736) Prec@5 69.922 (70.279)
Epoch: [37][2780/5005] Time 0.213 (0.224) Data 0.047 (0.074) Loss 2.6889 (2.4491) Prec@1 37.109 (44.739) Prec@5 64.844 (70.279)
Epoch: [37][2790/5005] Time 0.413 (0.224) Data 0.325 (0.074) Loss 2.8434 (2.4493) Prec@1 36.719 (44.736) Prec@5 63.672 (70.274)
Epoch: [37][2800/5005] Time 0.191 (0.224) Data 0.045 (0.074) Loss 2.2617 (2.4490) Prec@1 49.219 (44.739) Prec@5 73.047 (70.279)
Epoch: [37][2810/5005] Time 0.203 (0.224) Data 0.043 (0.074) Loss 2.6888 (2.4491) Prec@1 45.703 (44.739) Prec@5 63.672 (70.278)
Epoch: [37][2820/5005] Time 0.202 (0.224) Data 0.042 (0.074) Loss 2.0657 (2.4488) Prec@1 48.047 (44.740) Prec@5 75.391 (70.282)
Epoch: [37][2830/5005] Time 0.205 (0.224) Data 0.053 (0.074) Loss 2.6154 (2.4488) Prec@1 41.406 (44.740) Prec@5 65.625 (70.283)
Epoch: [37][2840/5005] Time 0.192 (0.224) Data 0.046 (0.074) Loss 2.3416 (2.4487) Prec@1 46.875 (44.740) Prec@5 73.047 (70.284)
Epoch: [37][2850/5005] Time 0.214 (0.224) Data 0.045 (0.074) Loss 2.3693 (2.4485) Prec@1 47.656 (44.744) Prec@5 70.703 (70.287)
Epoch: [37][2860/5005] Time 0.203 (0.224) Data 0.089 (0.074) Loss 2.4956 (2.4486) Prec@1 46.094 (44.746) Prec@5 70.703 (70.285)
Epoch: [37][2870/5005] Time 0.203 (0.224) Data 0.067 (0.074) Loss 2.2349 (2.4482) Prec@1 49.609 (44.755) Prec@5 73.438 (70.294)
Epoch: [37][2880/5005] Time 0.205 (0.224) Data 0.048 (0.074) Loss 2.4293 (2.4482) Prec@1 42.578 (44.757) Prec@5 72.266 (70.297)
Epoch: [37][2890/5005] Time 0.286 (0.224) Data 0.199 (0.074) Loss 2.4577 (2.4481) Prec@1 43.750 (44.760) Prec@5 69.922 (70.295)
Epoch: [37][2900/5005] Time 0.638 (0.224) Data 0.544 (0.074) Loss 2.1376 (2.4478) Prec@1 49.219 (44.767) Prec@5 78.906 (70.301)
Epoch: [37][2910/5005] Time 0.207 (0.224) Data 0.065 (0.074) Loss 2.5370 (2.4479) Prec@1 41.406 (44.764) Prec@5 69.531 (70.301)
Epoch: [37][2920/5005] Time 0.209 (0.224) Data 0.048 (0.074) Loss 2.5516 (2.4481) Prec@1 44.141 (44.763) Prec@5 69.141 (70.303)
Epoch: [37][2930/5005] Time 0.200 (0.224) Data 0.044 (0.074) Loss 2.5428 (2.4481) Prec@1 45.312 (44.762) Prec@5 73.438 (70.305)
Epoch: [37][2940/5005] Time 0.202 (0.224) Data 0.043 (0.074) Loss 2.5906 (2.4479) Prec@1 46.484 (44.772) Prec@5 66.016 (70.311)
Epoch: [37][2950/5005] Time 0.209 (0.224) Data 0.045 (0.074) Loss 2.7011 (2.4476) Prec@1 37.500 (44.773) Prec@5 69.141 (70.318)
Epoch: [37][2960/5005] Time 0.194 (0.224) Data 0.049 (0.074) Loss 2.2920 (2.4475) Prec@1 47.656 (44.778) Prec@5 73.438 (70.320)
Epoch: [37][2970/5005] Time 0.214 (0.224) Data 0.043 (0.074) Loss 2.4631 (2.4473) Prec@1 41.406 (44.779) Prec@5 70.312 (70.323)
Epoch: [37][2980/5005] Time 0.190 (0.224) Data 0.055 (0.074) Loss 2.4479 (2.4473) Prec@1 43.359 (44.780) Prec@5 69.531 (70.323)
Epoch: [37][2990/5005] Time 0.202 (0.224) Data 0.046 (0.074) Loss 2.3535 (2.4473) Prec@1 45.703 (44.782) Prec@5 71.484 (70.322)
Epoch: [37][3000/5005] Time 0.234 (0.224) Data 0.149 (0.074) Loss 2.4132 (2.4473) Prec@1 46.484 (44.779) Prec@5 70.703 (70.323)
Epoch: [37][3010/5005] Time 0.207 (0.224) Data 0.043 (0.074) Loss 2.4185 (2.4474) Prec@1 44.531 (44.774) Prec@5 71.094 (70.319)
Epoch: [37][3020/5005] Time 0.203 (0.224) Data 0.044 (0.074) Loss 2.4078 (2.4477) Prec@1 46.094 (44.775) Prec@5 70.312 (70.314)
Epoch: [37][3030/5005] Time 0.204 (0.224) Data 0.042 (0.074) Loss 2.4830 (2.4476) Prec@1 45.703 (44.775) Prec@5 70.703 (70.318)
Epoch: [37][3040/5005] Time 0.271 (0.224) Data 0.190 (0.074) Loss 2.1711 (2.4475) Prec@1 48.047 (44.780) Prec@5 72.266 (70.317)
Epoch: [37][3050/5005] Time 0.380 (0.224) Data 0.291 (0.074) Loss 2.4112 (2.4474) Prec@1 42.969 (44.782) Prec@5 68.750 (70.320)
Epoch: [37][3060/5005] Time 0.204 (0.224) Data 0.052 (0.074) Loss 2.3290 (2.4472) Prec@1 46.094 (44.781) Prec@5 73.828 (70.322)
Epoch: [37][3070/5005] Time 0.320 (0.224) Data 0.235 (0.074) Loss 2.4603 (2.4472) Prec@1 42.578 (44.782) Prec@5 71.094 (70.323)
Epoch: [37][3080/5005] Time 0.198 (0.224) Data 0.091 (0.074) Loss 2.3876 (2.4472) Prec@1 43.750 (44.780) Prec@5 68.359 (70.321)
Epoch: [37][3090/5005] Time 0.197 (0.224) Data 0.078 (0.074) Loss 2.7155 (2.4471) Prec@1 38.281 (44.780) Prec@5 65.234 (70.324)
Epoch: [37][3100/5005] Time 0.200 (0.224) Data 0.051 (0.074) Loss 2.4655 (2.4472) Prec@1 48.047 (44.778) Prec@5 72.656 (70.322)
Epoch: [37][3110/5005] Time 0.204 (0.224) Data 0.043 (0.075) Loss 2.2244 (2.4470) Prec@1 50.781 (44.781) Prec@5 75.000 (70.325)
Epoch: [37][3120/5005] Time 0.206 (0.224) Data 0.045 (0.075) Loss 2.5741 (2.4471) Prec@1 40.234 (44.781) Prec@5 67.578 (70.323)
Epoch: [37][3130/5005] Time 0.673 (0.224) Data 0.584 (0.075) Loss 2.5966 (2.4468) Prec@1 40.625 (44.785) Prec@5 67.188 (70.328)
Epoch: [37][3140/5005] Time 0.191 (0.224) Data 0.054 (0.075) Loss 2.2702 (2.4466) Prec@1 47.656 (44.788) Prec@5 71.484 (70.328)
Epoch: [37][3150/5005] Time 0.205 (0.224) Data 0.045 (0.075) Loss 2.4994 (2.4465) Prec@1 44.531 (44.793) Prec@5 71.094 (70.331)
Epoch: [37][3160/5005] Time 0.211 (0.224) Data 0.044 (0.075) Loss 2.2232 (2.4464) Prec@1 45.703 (44.794) Prec@5 74.219 (70.334)
Epoch: [37][3170/5005] Time 0.201 (0.224) Data 0.042 (0.075) Loss 2.4984 (2.4464) Prec@1 44.141 (44.795) Prec@5 69.141 (70.334)
Epoch: [37][3180/5005] Time 0.209 (0.224) Data 0.047 (0.075) Loss 2.2741 (2.4464) Prec@1 48.047 (44.796) Prec@5 70.703 (70.333)
Epoch: [37][3190/5005] Time 0.203 (0.224) Data 0.044 (0.074) Loss 2.5539 (2.4465) Prec@1 40.625 (44.797) Prec@5 67.969 (70.332)
Epoch: [37][3200/5005] Time 0.197 (0.224) Data 0.056 (0.075) Loss 2.4569 (2.4463) Prec@1 43.750 (44.800) Prec@5 72.656 (70.337)
Epoch: [37][3210/5005] Time 0.201 (0.224) Data 0.051 (0.075) Loss 2.4613 (2.4461) Prec@1 43.359 (44.802) Prec@5 70.312 (70.343)
Epoch: [37][3220/5005] Time 0.205 (0.224) Data 0.044 (0.075) Loss 2.3672 (2.4460) Prec@1 48.438 (44.809) Prec@5 70.703 (70.342)
Epoch: [37][3230/5005] Time 0.304 (0.224) Data 0.213 (0.075) Loss 2.3506 (2.4457) Prec@1 49.219 (44.811) Prec@5 73.047 (70.350)
Epoch: [37][3240/5005] Time 0.195 (0.224) Data 0.056 (0.075) Loss 2.7235 (2.4461) Prec@1 39.844 (44.806) Prec@5 66.406 (70.345)
Epoch: [37][3250/5005] Time 0.205 (0.224) Data 0.050 (0.075) Loss 2.5481 (2.4462) Prec@1 42.578 (44.802) Prec@5 70.312 (70.342)
Epoch: [37][3260/5005] Time 0.277 (0.224) Data 0.190 (0.075) Loss 2.4008 (2.4464) Prec@1 44.531 (44.802) Prec@5 70.312 (70.340)
Epoch: [37][3270/5005] Time 0.212 (0.224) Data 0.044 (0.075) Loss 2.5364 (2.4463) Prec@1 42.969 (44.800) Prec@5 69.531 (70.342)
Epoch: [37][3280/5005] Time 0.211 (0.224) Data 0.043 (0.075) Loss 2.3812 (2.4464) Prec@1 45.312 (44.799) Prec@5 71.875 (70.342)
Epoch: [37][3290/5005] Time 0.202 (0.224) Data 0.045 (0.075) Loss 2.3277 (2.4462) Prec@1 46.484 (44.800) Prec@5 69.922 (70.345)
Epoch: [37][3300/5005] Time 0.203 (0.224) Data 0.116 (0.075) Loss 2.3746 (2.4462) Prec@1 45.703 (44.798) Prec@5 68.359 (70.343)
Epoch: [37][3310/5005] Time 0.200 (0.225) Data 0.049 (0.075) Loss 2.2764 (2.4461) Prec@1 48.828 (44.802) Prec@5 69.922 (70.345)
Epoch: [37][3320/5005] Time 0.202 (0.224) Data 0.041 (0.075) Loss 2.4945 (2.4462) Prec@1 43.750 (44.800) Prec@5 69.141 (70.344)
Epoch: [37][3330/5005] Time 0.208 (0.224) Data 0.115 (0.075) Loss 2.4093 (2.4462) Prec@1 45.312 (44.799) Prec@5 68.359 (70.343)
Epoch: [37][3340/5005] Time 0.207 (0.224) Data 0.040 (0.075) Loss 2.5569 (2.4462) Prec@1 42.969 (44.799) Prec@5 71.484 (70.346)
Epoch: [37][3350/5005] Time 0.199 (0.224) Data 0.105 (0.075) Loss 2.6424 (2.4462) Prec@1 39.062 (44.796) Prec@5 68.359 (70.343)
Epoch: [37][3360/5005] Time 0.198 (0.224) Data 0.044 (0.075) Loss 2.2811 (2.4462) Prec@1 48.828 (44.800) Prec@5 75.391 (70.343)
Epoch: [37][3370/5005] Time 0.196 (0.224) Data 0.050 (0.075) Loss 2.5545 (2.4464) Prec@1 41.406 (44.797) Prec@5 68.359 (70.338)
Epoch: [37][3380/5005] Time 0.203 (0.224) Data 0.040 (0.075) Loss 2.4419 (2.4462) Prec@1 44.141 (44.799) Prec@5 72.656 (70.339)
Epoch: [37][3390/5005] Time 0.609 (0.225) Data 0.524 (0.075) Loss 2.2786 (2.4463) Prec@1 50.000 (44.796) Prec@5 71.094 (70.337)
Epoch: [37][3400/5005] Time 0.203 (0.224) Data 0.044 (0.075) Loss 2.3505 (2.4462) Prec@1 40.625 (44.797) Prec@5 74.219 (70.340)
Epoch: [37][3410/5005] Time 0.208 (0.225) Data 0.054 (0.075) Loss 2.3791 (2.4460) Prec@1 45.703 (44.800) Prec@5 71.484 (70.345)
Epoch: [37][3420/5005] Time 0.207 (0.224) Data 0.040 (0.075) Loss 2.2838 (2.4459) Prec@1 49.219 (44.803) Prec@5 69.922 (70.347)
Epoch: [37][3430/5005] Time 0.208 (0.224) Data 0.051 (0.075) Loss 2.3539 (2.4459) Prec@1 48.047 (44.801) Prec@5 72.266 (70.350)
Epoch: [37][3440/5005] Time 0.197 (0.224) Data 0.059 (0.075) Loss 2.5039 (2.4457) Prec@1 42.969 (44.800) Prec@5 68.359 (70.353)
Epoch: [37][3450/5005] Time 0.188 (0.225) Data 0.101 (0.076) Loss 2.2436 (2.4456) Prec@1 46.875 (44.801) Prec@5 72.266 (70.359)
Epoch: [37][3460/5005] Time 0.204 (0.224) Data 0.049 (0.076) Loss 2.4807 (2.4456) Prec@1 45.703 (44.802) Prec@5 67.969 (70.360)
Epoch: [37][3470/5005] Time 0.217 (0.224) Data 0.122 (0.076) Loss 2.1851 (2.4454) Prec@1 49.609 (44.809) Prec@5 76.562 (70.365)
Epoch: [37][3480/5005] Time 0.199 (0.225) Data 0.055 (0.076) Loss 2.3522 (2.4450) Prec@1 44.922 (44.814) Prec@5 72.266 (70.374)
Epoch: [37][3490/5005] Time 0.195 (0.224) Data 0.047 (0.076) Loss 2.5104 (2.4451) Prec@1 39.844 (44.812) Prec@5 67.969 (70.373)
Epoch: [37][3500/5005] Time 0.200 (0.224) Data 0.045 (0.076) Loss 2.3808 (2.4451) Prec@1 46.875 (44.811) Prec@5 71.875 (70.373)
Epoch: [37][3510/5005] Time 0.209 (0.225) Data 0.052 (0.076) Loss 2.1424 (2.4449) Prec@1 47.266 (44.814) Prec@5 75.000 (70.374)
Epoch: [37][3520/5005] Time 0.201 (0.224) Data 0.065 (0.076) Loss 2.6104 (2.4449) Prec@1 43.359 (44.814) Prec@5 66.016 (70.376)
Epoch: [37][3530/5005] Time 0.200 (0.224) Data 0.052 (0.076) Loss 2.3412 (2.4447) Prec@1 47.656 (44.819) Prec@5 73.047 (70.378)
Epoch: [37][3540/5005] Time 0.202 (0.225) Data 0.066 (0.076) Loss 2.3340 (2.4446) Prec@1 45.312 (44.820) Prec@5 74.219 (70.380)
Epoch: [37][3550/5005] Time 0.206 (0.224) Data 0.040 (0.076) Loss 2.4543 (2.4445) Prec@1 42.188 (44.819) Prec@5 67.188 (70.381)
Epoch: [37][3560/5005] Time 0.202 (0.224) Data 0.039 (0.076) Loss 2.4458 (2.4443) Prec@1 44.141 (44.821) Prec@5 69.922 (70.383)
Epoch: [37][3570/5005] Time 0.202 (0.225) Data 0.048 (0.076) Loss 2.5242 (2.4443) Prec@1 41.406 (44.818) Prec@5 71.875 (70.386)
Epoch: [37][3580/5005] Time 0.195 (0.224) Data 0.083 (0.076) Loss 2.3425 (2.4444) Prec@1 44.531 (44.819) Prec@5 70.312 (70.384)
Epoch: [37][3590/5005] Time 0.215 (0.224) Data 0.128 (0.076) Loss 2.4874 (2.4442) Prec@1 41.016 (44.822) Prec@5 69.922 (70.391)
Epoch: [37][3600/5005] Time 0.202 (0.224) Data 0.049 (0.076) Loss 2.5120 (2.4439) Prec@1 44.141 (44.826) Prec@5 68.750 (70.393)
Epoch: [37][3610/5005] Time 0.196 (0.224) Data 0.116 (0.076) Loss 2.3091 (2.4440) Prec@1 50.000 (44.828) Prec@5 73.047 (70.393)
Epoch: [37][3620/5005] Time 0.201 (0.224) Data 0.048 (0.076) Loss 2.5910 (2.4439) Prec@1 45.312 (44.829) Prec@5 66.016 (70.394)
Epoch: [37][3630/5005] Time 0.215 (0.224) Data 0.042 (0.076) Loss 2.8949 (2.4438) Prec@1 38.672 (44.828) Prec@5 62.500 (70.393)
Epoch: [37][3640/5005] Time 0.527 (0.225) Data 0.441 (0.076) Loss 2.5273 (2.4438) Prec@1 43.750 (44.830) Prec@5 70.703 (70.394)
Epoch: [37][3650/5005] Time 0.200 (0.224) Data 0.045 (0.076) Loss 2.3457 (2.4438) Prec@1 44.531 (44.828) Prec@5 73.047 (70.398)
Epoch: [37][3660/5005] Time 0.202 (0.224) Data 0.050 (0.076) Loss 2.5347 (2.4437) Prec@1 42.188 (44.829) Prec@5 68.359 (70.399)
Epoch: [37][3670/5005] Time 0.205 (0.224) Data 0.048 (0.076) Loss 2.5194 (2.4437) Prec@1 43.359 (44.827) Prec@5 64.844 (70.397)
Epoch: [37][3680/5005] Time 0.211 (0.225) Data 0.042 (0.076) Loss 2.2544 (2.4438) Prec@1 44.141 (44.825) Prec@5 74.609 (70.397)
Epoch: [37][3690/5005] Time 0.208 (0.225) Data 0.041 (0.076) Loss 2.2153 (2.4437) Prec@1 46.484 (44.823) Prec@5 75.781 (70.399)
Epoch: [37][3700/5005] Time 0.203 (0.225) Data 0.040 (0.076) Loss 2.4514 (2.4438) Prec@1 46.094 (44.819) Prec@5 72.266 (70.399)
Epoch: [37][3710/5005] Time 0.202 (0.225) Data 0.040 (0.076) Loss 2.3585 (2.4437) Prec@1 49.609 (44.819) Prec@5 72.656 (70.402)
Epoch: [37][3720/5005] Time 0.207 (0.225) Data 0.048 (0.076) Loss 2.5978 (2.4437) Prec@1 46.094 (44.820) Prec@5 67.578 (70.401)
Epoch: [37][3730/5005] Time 0.206 (0.224) Data 0.056 (0.076) Loss 2.3383 (2.4436) Prec@1 46.094 (44.821) Prec@5 74.219 (70.404)
Epoch: [37][3740/5005] Time 0.205 (0.224) Data 0.043 (0.076) Loss 2.4026 (2.4433) Prec@1 48.828 (44.826) Prec@5 70.312 (70.408)
Epoch: [37][3750/5005] Time 0.211 (0.225) Data 0.046 (0.076) Loss 2.2628 (2.4434) Prec@1 48.438 (44.826) Prec@5 74.609 (70.406)
Epoch: [37][3760/5005] Time 0.194 (0.224) Data 0.044 (0.076) Loss 2.2914 (2.4433) Prec@1 44.531 (44.826) Prec@5 71.875 (70.406)
Epoch: [37][3770/5005] Time 0.356 (0.225) Data 0.274 (0.076) Loss 2.4596 (2.4432) Prec@1 44.922 (44.827) Prec@5 67.969 (70.407)
Epoch: [37][3780/5005] Time 0.219 (0.225) Data 0.047 (0.076) Loss 2.4776 (2.4432) Prec@1 44.141 (44.827) Prec@5 69.141 (70.406)
Epoch: [37][3790/5005] Time 0.203 (0.225) Data 0.040 (0.076) Loss 2.5744 (2.4432) Prec@1 43.359 (44.826) Prec@5 68.750 (70.408)
Epoch: [37][3800/5005] Time 0.204 (0.225) Data 0.042 (0.076) Loss 2.3984 (2.4434) Prec@1 47.266 (44.822) Prec@5 71.484 (70.406)
Epoch: [37][3810/5005] Time 0.545 (0.225) Data 0.449 (0.076) Loss 2.4231 (2.4435) Prec@1 46.094 (44.820) Prec@5 70.703 (70.405)
Epoch: [37][3820/5005] Time 0.195 (0.225) Data 0.048 (0.076) Loss 2.3978 (2.4434) Prec@1 44.922 (44.823) Prec@5 72.266 (70.409)
Epoch: [37][3830/5005] Time 0.204 (0.225) Data 0.045 (0.076) Loss 2.3965 (2.4432) Prec@1 42.578 (44.826) Prec@5 72.266 (70.411)
Epoch: [37][3840/5005] Time 0.200 (0.225) Data 0.063 (0.076) Loss 2.6623 (2.4433) Prec@1 38.672 (44.823) Prec@5 63.672 (70.407)
Epoch: [37][3850/5005] Time 0.196 (0.225) Data 0.044 (0.076) Loss 2.4812 (2.4433) Prec@1 47.266 (44.822) Prec@5 69.141 (70.408)
Epoch: [37][3860/5005] Time 0.204 (0.225) Data 0.048 (0.076) Loss 2.3024 (2.4432) Prec@1 53.125 (44.826) Prec@5 72.266 (70.410)
Epoch: [37][3870/5005] Time 0.199 (0.225) Data 0.045 (0.076) Loss 2.3023 (2.4431) Prec@1 45.312 (44.826) Prec@5 71.094 (70.410)
Epoch: [37][3880/5005] Time 0.196 (0.225) Data 0.048 (0.076) Loss 2.1963 (2.4431) Prec@1 54.297 (44.830) Prec@5 74.609 (70.410)
Epoch: [37][3890/5005] Time 0.207 (0.225) Data 0.053 (0.076) Loss 2.8643 (2.4431) Prec@1 38.672 (44.829) Prec@5 63.672 (70.411)
Epoch: [37][3900/5005] Time 0.213 (0.225) Data 0.048 (0.076) Loss 2.6370 (2.4432) Prec@1 45.703 (44.832) Prec@5 66.797 (70.411)
Epoch: [37][3910/5005] Time 0.200 (0.225) Data 0.047 (0.076) Loss 2.4662 (2.4431) Prec@1 43.750 (44.834) Prec@5 69.531 (70.412)
Epoch: [37][3920/5005] Time 0.200 (0.225) Data 0.086 (0.076) Loss 2.3577 (2.4430) Prec@1 45.703 (44.839) Prec@5 72.266 (70.412)
Epoch: [37][3930/5005] Time 0.202 (0.225) Data 0.050 (0.076) Loss 2.4427 (2.4428) Prec@1 44.141 (44.837) Prec@5 68.750 (70.414)
Epoch: [37][3940/5005] Time 0.209 (0.225) Data 0.042 (0.076) Loss 2.3543 (2.4428) Prec@1 44.922 (44.835) Prec@5 72.266 (70.412)
Epoch: [37][3950/5005] Time 0.194 (0.225) Data 0.045 (0.076) Loss 2.3067 (2.4425) Prec@1 46.094 (44.838) Prec@5 73.828 (70.417)
Epoch: [37][3960/5005] Time 0.199 (0.225) Data 0.043 (0.076) Loss 2.3482 (2.4424) Prec@1 44.922 (44.839) Prec@5 69.531 (70.417)
Epoch: [37][3970/5005] Time 0.379 (0.225) Data 0.300 (0.076) Loss 2.4166 (2.4424) Prec@1 49.609 (44.838) Prec@5 73.047 (70.420)
Epoch: [37][3980/5005] Time 0.198 (0.225) Data 0.053 (0.076) Loss 2.3143 (2.4423) Prec@1 43.359 (44.839) Prec@5 71.094 (70.421)
Epoch: [37][3990/5005] Time 0.199 (0.225) Data 0.050 (0.076) Loss 2.4034 (2.4424) Prec@1 44.531 (44.837) Prec@5 74.609 (70.424)
Epoch: [37][4000/5005] Time 0.211 (0.225) Data 0.048 (0.076) Loss 2.3446 (2.4424) Prec@1 44.141 (44.835) Prec@5 71.484 (70.425)
Epoch: [37][4010/5005] Time 0.198 (0.225) Data 0.057 (0.076) Loss 2.4950 (2.4422) Prec@1 41.797 (44.839) Prec@5 69.141 (70.426)
Epoch: [37][4020/5005] Time 0.350 (0.225) Data 0.262 (0.076) Loss 2.6403 (2.4423) Prec@1 42.578 (44.838) Prec@5 65.625 (70.425)
Epoch: [37][4030/5005] Time 0.209 (0.225) Data 0.046 (0.076) Loss 2.6916 (2.4425) Prec@1 41.406 (44.833) Prec@5 66.016 (70.422)
Epoch: [37][4040/5005] Time 0.210 (0.225) Data 0.044 (0.076) Loss 2.5380 (2.4426) Prec@1 46.875 (44.834) Prec@5 66.406 (70.421)
Epoch: [37][4050/5005] Time 0.206 (0.225) Data 0.039 (0.076) Loss 2.6450 (2.4426) Prec@1 42.188 (44.836) Prec@5 68.750 (70.422)
Epoch: [37][4060/5005] Time 0.306 (0.225) Data 0.229 (0.076) Loss 2.4763 (2.4425) Prec@1 41.016 (44.835) Prec@5 66.406 (70.422)
Epoch: [37][4070/5005] Time 0.200 (0.225) Data 0.044 (0.076) Loss 2.6522 (2.4425) Prec@1 44.141 (44.834) Prec@5 69.141 (70.421)
Epoch: [37][4080/5005] Time 0.201 (0.225) Data 0.052 (0.076) Loss 2.4192 (2.4425) Prec@1 41.016 (44.832) Prec@5 70.312 (70.421)
Epoch: [37][4090/5005] Time 0.205 (0.225) Data 0.040 (0.076) Loss 2.5960 (2.4425) Prec@1 44.141 (44.833) Prec@5 69.531 (70.419)
Epoch: [37][4100/5005] Time 0.196 (0.225) Data 0.083 (0.076) Loss 2.4160 (2.4424) Prec@1 40.234 (44.833) Prec@5 73.438 (70.421)
Epoch: [37][4110/5005] Time 0.202 (0.225) Data 0.048 (0.077) Loss 2.5854 (2.4425) Prec@1 40.625 (44.830) Prec@5 67.969 (70.421)
Epoch: [37][4120/5005] Time 0.212 (0.225) Data 0.041 (0.076) Loss 2.5393 (2.4423) Prec@1 42.188 (44.834) Prec@5 69.922 (70.425)
Epoch: [37][4130/5005] Time 0.212 (0.225) Data 0.045 (0.076) Loss 2.5734 (2.4421) Prec@1 42.969 (44.835) Prec@5 66.797 (70.427)
Epoch: [37][4140/5005] Time 0.215 (0.224) Data 0.044 (0.076) Loss 2.4718 (2.4421) Prec@1 46.094 (44.837) Prec@5 68.750 (70.429)
Epoch: [37][4150/5005] Time 0.199 (0.224) Data 0.047 (0.076) Loss 2.6836 (2.4422) Prec@1 41.406 (44.834) Prec@5 66.797 (70.427)
Epoch: [37][4160/5005] Time 0.208 (0.225) Data 0.046 (0.076) Loss 2.5698 (2.4424) Prec@1 45.312 (44.834) Prec@5 71.875 (70.425)
Epoch: [37][4170/5005] Time 0.201 (0.225) Data 0.049 (0.077) Loss 2.3924 (2.4421) Prec@1 44.141 (44.837) Prec@5 70.703 (70.429)
Epoch: [37][4180/5005] Time 0.199 (0.225) Data 0.045 (0.077) Loss 2.2431 (2.4421) Prec@1 49.219 (44.839) Prec@5 72.266 (70.428)
Epoch: [37][4190/5005] Time 0.200 (0.225) Data 0.044 (0.077) Loss 2.2517 (2.4422) Prec@1 46.094 (44.838) Prec@5 74.219 (70.427)
Epoch: [37][4200/5005] Time 0.197 (0.225) Data 0.088 (0.077) Loss 2.4041 (2.4421) Prec@1 41.406 (44.838) Prec@5 72.266 (70.430)
Epoch: [37][4210/5005] Time 0.213 (0.225) Data 0.042 (0.077) Loss 2.3471 (2.4421) Prec@1 46.875 (44.837) Prec@5 73.438 (70.429)
Epoch: [37][4220/5005] Time 0.199 (0.225) Data 0.051 (0.077) Loss 2.6629 (2.4423) Prec@1 39.844 (44.833) Prec@5 69.531 (70.427)
Epoch: [37][4230/5005] Time 0.199 (0.225) Data 0.044 (0.077) Loss 2.5076 (2.4423) Prec@1 40.625 (44.836) Prec@5 70.703 (70.427)
Epoch: [37][4240/5005] Time 0.199 (0.225) Data 0.051 (0.077) Loss 2.2526 (2.4423) Prec@1 46.875 (44.834) Prec@5 75.781 (70.426)
Epoch: [37][4250/5005] Time 0.209 (0.225) Data 0.056 (0.077) Loss 2.3112 (2.4421) Prec@1 48.438 (44.837) Prec@5 73.047 (70.427)
Epoch: [37][4260/5005] Time 0.207 (0.225) Data 0.051 (0.077) Loss 2.3998 (2.4421) Prec@1 42.969 (44.837) Prec@5 70.312 (70.428)
Epoch: [37][4270/5005] Time 0.208 (0.225) Data 0.049 (0.077) Loss 2.6255 (2.4422) Prec@1 41.016 (44.835) Prec@5 68.750 (70.425)
Epoch: [37][4280/5005] Time 0.213 (0.225) Data 0.060 (0.077) Loss 2.4596 (2.4422) Prec@1 43.750 (44.836) Prec@5 69.922 (70.424)
Epoch: [37][4290/5005] Time 0.207 (0.225) Data 0.052 (0.077) Loss 2.6053 (2.4423) Prec@1 41.797 (44.834) Prec@5 68.359 (70.424)
Epoch: [37][4300/5005] Time 0.217 (0.225) Data 0.043 (0.077) Loss 2.3196 (2.4420) Prec@1 44.531 (44.838) Prec@5 72.656 (70.427)
Epoch: [37][4310/5005] Time 0.209 (0.224) Data 0.046 (0.077) Loss 2.4415 (2.4420) Prec@1 46.875 (44.839) Prec@5 73.438 (70.428)
Epoch: [37][4320/5005] Time 0.200 (0.225) Data 0.043 (0.077) Loss 2.4311 (2.4421) Prec@1 44.531 (44.837) Prec@5 69.531 (70.427)
Epoch: [37][4330/5005] Time 0.340 (0.225) Data 0.253 (0.077) Loss 2.3879 (2.4420) Prec@1 41.406 (44.837) Prec@5 71.094 (70.428)
Epoch: [37][4340/5005] Time 0.192 (0.225) Data 0.067 (0.077) Loss 2.5023 (2.4421) Prec@1 42.578 (44.834) Prec@5 70.703 (70.428)
Epoch: [37][4350/5005] Time 0.194 (0.225) Data 0.052 (0.077) Loss 2.5197 (2.4420) Prec@1 46.875 (44.835) Prec@5 70.312 (70.428)
Epoch: [37][4360/5005] Time 0.212 (0.225) Data 0.045 (0.077) Loss 2.1677 (2.4418) Prec@1 48.438 (44.839) Prec@5 76.172 (70.434)
Epoch: [37][4370/5005] Time 0.205 (0.225) Data 0.056 (0.077) Loss 2.4665 (2.4418) Prec@1 42.578 (44.840) Prec@5 69.141 (70.434)
Epoch: [37][4380/5005] Time 0.204 (0.225) Data 0.041 (0.077) Loss 2.5043 (2.4419) Prec@1 44.141 (44.838) Prec@5 69.922 (70.432)
Epoch: [37][4390/5005] Time 0.195 (0.225) Data 0.059 (0.077) Loss 2.4114 (2.4416) Prec@1 45.703 (44.844) Prec@5 71.484 (70.436)
Epoch: [37][4400/5005] Time 0.208 (0.225) Data 0.054 (0.077) Loss 2.3071 (2.4416) Prec@1 45.312 (44.846) Prec@5 71.484 (70.437)
Epoch: [37][4410/5005] Time 0.207 (0.225) Data 0.045 (0.077) Loss 2.4832 (2.4416) Prec@1 41.797 (44.844) Prec@5 66.016 (70.437)
Epoch: [37][4420/5005] Time 0.204 (0.225) Data 0.042 (0.077) Loss 2.1414 (2.4416) Prec@1 49.609 (44.845) Prec@5 73.047 (70.437)
Epoch: [37][4430/5005] Time 0.347 (0.225) Data 0.253 (0.077) Loss 2.6012 (2.4414) Prec@1 39.062 (44.848) Prec@5 68.359 (70.439)
Epoch: [37][4440/5005] Time 0.209 (0.225) Data 0.049 (0.077) Loss 2.5843 (2.4414) Prec@1 40.625 (44.848) Prec@5 69.531 (70.439)
Epoch: [37][4450/5005] Time 0.217 (0.225) Data 0.045 (0.077) Loss 2.1693 (2.4414) Prec@1 47.656 (44.846) Prec@5 77.344 (70.440)
Epoch: [37][4460/5005] Time 0.202 (0.225) Data 0.046 (0.077) Loss 2.6348 (2.4412) Prec@1 43.359 (44.851) Prec@5 66.016 (70.443)
Epoch: [37][4470/5005] Time 0.274 (0.225) Data 0.190 (0.077) Loss 2.4114 (2.4413) Prec@1 41.797 (44.851) Prec@5 70.312 (70.443)
Epoch: [37][4480/5005] Time 0.196 (0.225) Data 0.054 (0.077) Loss 2.2941 (2.4414) Prec@1 45.703 (44.847) Prec@5 69.531 (70.442)
Epoch: [37][4490/5005] Time 0.197 (0.225) Data 0.042 (0.077) Loss 2.4757 (2.4415) Prec@1 44.141 (44.845) Prec@5 69.141 (70.439)
Epoch: [37][4500/5005] Time 0.206 (0.225) Data 0.041 (0.077) Loss 2.3940 (2.4414) Prec@1 46.094 (44.848) Prec@5 69.922 (70.441)
Epoch: [37][4510/5005] Time 0.198 (0.225) Data 0.063 (0.077) Loss 2.2066 (2.4414) Prec@1 50.000 (44.848) Prec@5 73.047 (70.440)
Epoch: [37][4520/5005] Time 0.204 (0.225) Data 0.046 (0.077) Loss 2.2682 (2.4412) Prec@1 49.609 (44.852) Prec@5 76.953 (70.444)
Epoch: [37][4530/5005] Time 0.209 (0.225) Data 0.054 (0.077) Loss 2.4678 (2.4411) Prec@1 43.750 (44.854) Prec@5 68.359 (70.445)
Epoch: [37][4540/5005] Time 0.206 (0.225) Data 0.046 (0.077) Loss 2.5415 (2.4413) Prec@1 48.828 (44.852) Prec@5 68.359 (70.443)
Epoch: [37][4550/5005] Time 0.198 (0.225) Data 0.103 (0.077) Loss 2.4634 (2.4413) Prec@1 48.828 (44.853) Prec@5 67.188 (70.442)
Epoch: [37][4560/5005] Time 0.199 (0.225) Data 0.041 (0.077) Loss 2.3637 (2.4412) Prec@1 49.609 (44.857) Prec@5 71.484 (70.443)
Epoch: [37][4570/5005] Time 0.199 (0.225) Data 0.045 (0.077) Loss 2.4884 (2.4411) Prec@1 46.875 (44.858) Prec@5 71.875 (70.443)
Epoch: [37][4580/5005] Time 0.200 (0.225) Data 0.044 (0.077) Loss 2.4584 (2.4411) Prec@1 40.234 (44.860) Prec@5 72.266 (70.444)
Epoch: [37][4590/5005] Time 0.201 (0.225) Data 0.050 (0.077) Loss 2.3204 (2.4411) Prec@1 46.875 (44.860) Prec@5 72.656 (70.442)
Epoch: [37][4600/5005] Time 0.206 (0.225) Data 0.048 (0.077) Loss 2.1527 (2.4412) Prec@1 53.906 (44.860) Prec@5 77.344 (70.440)
Epoch: [37][4610/5005] Time 0.202 (0.225) Data 0.049 (0.077) Loss 2.2217 (2.4411) Prec@1 50.781 (44.863) Prec@5 74.219 (70.442)
Epoch: [37][4620/5005] Time 0.210 (0.225) Data 0.048 (0.077) Loss 2.2619 (2.4410) Prec@1 48.438 (44.863) Prec@5 71.875 (70.442)
Epoch: [37][4630/5005] Time 0.197 (0.225) Data 0.055 (0.077) Loss 2.3253 (2.4409) Prec@1 47.266 (44.866) Prec@5 75.000 (70.445)
Epoch: [37][4640/5005] Time 0.198 (0.225) Data 0.048 (0.077) Loss 2.4132 (2.4408) Prec@1 47.656 (44.867) Prec@5 69.141 (70.444)
Epoch: [37][4650/5005] Time 0.486 (0.225) Data 0.398 (0.077) Loss 2.4508 (2.4408) Prec@1 46.094 (44.866) Prec@5 70.312 (70.447)
Epoch: [37][4660/5005] Time 0.260 (0.225) Data 0.167 (0.077) Loss 2.6111 (2.4408) Prec@1 41.797 (44.867) Prec@5 66.406 (70.448)
Epoch: [37][4670/5005] Time 0.206 (0.225) Data 0.043 (0.077) Loss 2.2090 (2.4406) Prec@1 49.219 (44.871) Prec@5 74.219 (70.451)
Epoch: [37][4680/5005] Time 0.204 (0.225) Data 0.051 (0.077) Loss 2.3247 (2.4406) Prec@1 44.531 (44.870) Prec@5 75.781 (70.453)
Epoch: [37][4690/5005] Time 0.199 (0.225) Data 0.039 (0.078) Loss 2.4434 (2.4406) Prec@1 41.797 (44.866) Prec@5 71.484 (70.452)
Epoch: [37][4700/5005] Time 0.194 (0.225) Data 0.043 (0.078) Loss 2.3653 (2.4406) Prec@1 44.531 (44.868) Prec@5 71.875 (70.452)
Epoch: [37][4710/5005] Time 0.192 (0.225) Data 0.050 (0.077) Loss 2.2841 (2.4404) Prec@1 45.703 (44.867) Prec@5 73.047 (70.455)
Epoch: [37][4720/5005] Time 0.195 (0.225) Data 0.063 (0.078) Loss 2.3261 (2.4404) Prec@1 50.000 (44.868) Prec@5 73.438 (70.455)
Epoch: [37][4730/5005] Time 0.213 (0.225) Data 0.046 (0.077) Loss 2.3604 (2.4405) Prec@1 46.875 (44.866) Prec@5 71.875 (70.454)
Epoch: [37][4740/5005] Time 0.206 (0.225) Data 0.045 (0.077) Loss 2.3223 (2.4404) Prec@1 48.438 (44.870) Prec@5 73.047 (70.456)
Epoch: [37][4750/5005] Time 0.198 (0.225) Data 0.050 (0.077) Loss 2.2509 (2.4402) Prec@1 51.953 (44.875) Prec@5 75.000 (70.457)
Epoch: [37][4760/5005] Time 0.199 (0.225) Data 0.053 (0.077) Loss 2.7010 (2.4402) Prec@1 42.188 (44.874) Prec@5 66.797 (70.459)
Epoch: [37][4770/5005] Time 0.201 (0.225) Data 0.046 (0.077) Loss 2.2611 (2.4401) Prec@1 48.438 (44.876) Prec@5 75.000 (70.460)
Epoch: [37][4780/5005] Time 0.198 (0.225) Data 0.083 (0.077) Loss 2.5382 (2.4401) Prec@1 44.141 (44.877) Prec@5 67.969 (70.460)
Epoch: [37][4790/5005] Time 0.192 (0.225) Data 0.051 (0.078) Loss 2.6576 (2.4401) Prec@1 44.922 (44.876) Prec@5 68.359 (70.461)
Epoch: [37][4800/5005] Time 0.206 (0.225) Data 0.040 (0.078) Loss 2.4913 (2.4400) Prec@1 41.797 (44.876) Prec@5 71.875 (70.463)
Epoch: [37][4810/5005] Time 0.203 (0.225) Data 0.057 (0.077) Loss 2.7008 (2.4399) Prec@1 42.578 (44.876) Prec@5 65.625 (70.462)
Epoch: [37][4820/5005] Time 0.342 (0.225) Data 0.257 (0.077) Loss 2.5395 (2.4397) Prec@1 41.406 (44.881) Prec@5 68.359 (70.467)
Epoch: [37][4830/5005] Time 0.196 (0.225) Data 0.092 (0.077) Loss 2.3756 (2.4396) Prec@1 48.047 (44.884) Prec@5 69.141 (70.467)
Epoch: [37][4840/5005] Time 0.200 (0.225) Data 0.117 (0.077) Loss 2.2762 (2.4396) Prec@1 49.219 (44.882) Prec@5 72.656 (70.466)
Epoch: [37][4850/5005] Time 0.201 (0.225) Data 0.047 (0.078) Loss 2.4686 (2.4397) Prec@1 45.703 (44.880) Prec@5 68.750 (70.466)
Epoch: [37][4860/5005] Time 0.202 (0.225) Data 0.049 (0.078) Loss 2.4027 (2.4397) Prec@1 42.578 (44.882) Prec@5 71.094 (70.466)
Epoch: [37][4870/5005] Time 0.203 (0.225) Data 0.090 (0.078) Loss 2.2628 (2.4397) Prec@1 46.484 (44.884) Prec@5 71.875 (70.465)
Epoch: [37][4880/5005] Time 0.195 (0.225) Data 0.049 (0.078) Loss 2.2560 (2.4395) Prec@1 48.438 (44.889) Prec@5 72.656 (70.467)
Epoch: [37][4890/5005] Time 0.198 (0.225) Data 0.041 (0.078) Loss 2.4470 (2.4394) Prec@1 44.531 (44.887) Prec@5 69.922 (70.468)
Epoch: [37][4900/5005] Time 0.204 (0.225) Data 0.058 (0.078) Loss 2.2844 (2.4393) Prec@1 49.219 (44.890) Prec@5 72.266 (70.470)
Epoch: [37][4910/5005] Time 0.200 (0.225) Data 0.049 (0.078) Loss 2.2859 (2.4391) Prec@1 48.438 (44.893) Prec@5 75.000 (70.473)
Epoch: [37][4920/5005] Time 0.314 (0.225) Data 0.223 (0.078) Loss 2.2985 (2.4391) Prec@1 42.188 (44.893) Prec@5 71.875 (70.473)
Epoch: [37][4930/5005] Time 0.195 (0.225) Data 0.099 (0.078) Loss 2.6403 (2.4390) Prec@1 41.016 (44.895) Prec@5 67.969 (70.475)
Epoch: [37][4940/5005] Time 0.341 (0.225) Data 0.254 (0.078) Loss 2.3069 (2.4390) Prec@1 50.000 (44.896) Prec@5 73.438 (70.475)
Epoch: [37][4950/5005] Time 0.204 (0.225) Data 0.048 (0.078) Loss 2.1785 (2.4390) Prec@1 44.922 (44.891) Prec@5 77.344 (70.473)
Epoch: [37][4960/5005] Time 0.205 (0.225) Data 0.042 (0.078) Loss 2.6073 (2.4390) Prec@1 44.922 (44.892) Prec@5 67.188 (70.472)
Epoch: [37][4970/5005] Time 0.199 (0.225) Data 0.053 (0.078) Loss 2.4913 (2.4389) Prec@1 43.750 (44.894) Prec@5 69.531 (70.474)
Epoch: [37][4980/5005] Time 0.209 (0.225) Data 0.047 (0.078) Loss 2.3984 (2.4388) Prec@1 46.094 (44.896) Prec@5 71.094 (70.476)
Epoch: [37][4990/5005] Time 0.367 (0.225) Data 0.287 (0.078) Loss 2.3699 (2.4386) Prec@1 42.578 (44.899) Prec@5 71.875 (70.479)
Epoch: [37][5000/5005] Time 0.202 (0.225) Data 0.032 (0.078) Loss 2.4129 (2.4386) Prec@1 44.922 (44.900) Prec@5 71.094 (70.480)
Test: [0/196] Time 2.684 (2.684) Loss 2.5513 (2.5513) Prec@1 46.484 (46.484) Prec@5 68.750 (68.750)
Test: [10/196] Time 0.045 (0.443) Loss 2.6018 (2.7228) Prec@1 42.188 (41.619) Prec@5 66.016 (65.447)
Test: [20/196] Time 0.042 (0.309) Loss 2.6242 (2.7285) Prec@1 41.797 (40.941) Prec@5 68.750 (65.774)
Test: [30/196] Time 0.043 (0.274) Loss 2.6070 (2.7339) Prec@1 41.016 (40.625) Prec@5 66.406 (65.663)
Test: [40/196] Time 0.042 (0.275) Loss 2.4842 (2.7267) Prec@1 48.047 (40.949) Prec@5 69.141 (65.854)
Test: [50/196] Time 0.044 (0.268) Loss 2.8370 (2.7360) Prec@1 40.625 (40.916) Prec@5 66.797 (65.771)
Test: [60/196] Time 0.447 (0.255) Loss 2.6910 (2.7221) Prec@1 42.188 (41.099) Prec@5 66.797 (66.060)
Test: [70/196] Time 0.261 (0.250) Loss 2.6890 (2.7162) Prec@1 44.531 (41.252) Prec@5 66.016 (66.120)
Test: [80/196] Time 0.044 (0.248) Loss 2.6348 (2.7188) Prec@1 46.094 (41.281) Prec@5 70.312 (66.175)
Test: [90/196] Time 0.082 (0.241) Loss 2.8035 (2.7203) Prec@1 43.359 (41.260) Prec@5 66.016 (66.204)
Test: [100/196] Time 0.043 (0.239) Loss 2.7257 (2.7159) Prec@1 41.406 (41.391) Prec@5 66.016 (66.290)
Test: [110/196] Time 0.567 (0.240) Loss 2.8952 (2.7181) Prec@1 40.234 (41.445) Prec@5 62.500 (66.308)
Test: [120/196] Time 0.103 (0.239) Loss 2.5274 (2.7131) Prec@1 42.188 (41.542) Prec@5 69.922 (66.413)
Test: [130/196] Time 0.042 (0.235) Loss 2.3851 (2.7099) Prec@1 44.922 (41.564) Prec@5 71.875 (66.496)
Test: [140/196] Time 0.443 (0.236) Loss 2.5120 (2.7115) Prec@1 46.875 (41.514) Prec@5 69.141 (66.426)
Test: [150/196] Time 0.042 (0.234) Loss 2.3768 (2.7093) Prec@1 45.703 (41.520) Prec@5 73.828 (66.517)
Test: [160/196] Time 0.086 (0.233) Loss 2.6660 (2.7060) Prec@1 43.359 (41.564) Prec@5 67.188 (66.549)
Test: [170/196] Time 0.044 (0.231) Loss 2.5497 (2.7074) Prec@1 43.359 (41.520) Prec@5 70.703 (66.564)
Test: [180/196] Time 0.239 (0.233) Loss 2.9240 (2.7127) Prec@1 37.891 (41.413) Prec@5 62.891 (66.432)
Test: [190/196] Time 0.359 (0.234) Loss 2.8876 (2.7150) Prec@1 37.500 (41.339) Prec@5 65.625 (66.361)
* Prec@1 41.346 Prec@5 66.368
Learning rate: 0.0001
Epoch: [38][0/5005] Time 2.101 (2.101) Data 1.994 (1.994) Loss 2.4510 (2.4510) Prec@1 47.266 (47.266) Prec@5 71.094 (71.094)
Epoch: [38][10/5005] Time 0.203 (0.373) Data 0.040 (0.225) Loss 2.3721 (2.4415) Prec@1 50.391 (45.597) Prec@5 73.047 (70.632)
Epoch: [38][20/5005] Time 0.200 (0.291) Data 0.044 (0.139) Loss 2.5520 (2.4781) Prec@1 43.750 (44.457) Prec@5 68.359 (69.922)
Epoch: [38][30/5005] Time 0.201 (0.261) Data 0.051 (0.109) Loss 2.3240 (2.4296) Prec@1 47.266 (44.897) Prec@5 70.703 (70.817)
Epoch: [38][40/5005] Time 0.212 (0.246) Data 0.042 (0.093) Loss 2.4024 (2.4411) Prec@1 47.656 (44.693) Prec@5 71.094 (70.713)
Epoch: [38][50/5005] Time 0.191 (0.237) Data 0.049 (0.084) Loss 2.2603 (2.4403) Prec@1 44.922 (44.608) Prec@5 75.781 (70.665)
Epoch: [38][60/5005] Time 0.196 (0.231) Data 0.045 (0.077) Loss 2.4929 (2.4427) Prec@1 42.969 (44.467) Prec@5 68.750 (70.537)
Epoch: [38][70/5005] Time 0.206 (0.227) Data 0.043 (0.072) Loss 2.4084 (2.4550) Prec@1 46.484 (44.322) Prec@5 69.922 (70.401)
Epoch: [38][80/5005] Time 0.198 (0.224) Data 0.049 (0.069) Loss 2.4246 (2.4513) Prec@1 47.656 (44.469) Prec@5 71.094 (70.496)
Epoch: [38][90/5005] Time 0.201 (0.221) Data 0.043 (0.066) Loss 2.4565 (2.4449) Prec@1 45.703 (44.750) Prec@5 69.531 (70.510)
Epoch: [38][100/5005] Time 0.188 (0.219) Data 0.058 (0.064) Loss 2.2968 (2.4444) Prec@1 45.703 (44.775) Prec@5 72.656 (70.467)
Epoch: [38][110/5005] Time 0.205 (0.226) Data 0.051 (0.063) Loss 2.5361 (2.4462) Prec@1 48.828 (44.869) Prec@5 69.141 (70.460)
Epoch: [38][120/5005] Time 0.200 (0.224) Data 0.061 (0.062) Loss 2.6696 (2.4488) Prec@1 37.109 (44.802) Prec@5 64.844 (70.271)
Epoch: [38][130/5005] Time 0.200 (0.222) Data 0.051 (0.061) Loss 2.7250 (2.4489) Prec@1 39.844 (44.800) Prec@5 64.844 (70.265)
Epoch: [38][140/5005] Time 0.212 (0.220) Data 0.046 (0.060) Loss 2.4675 (2.4472) Prec@1 43.750 (44.700) Prec@5 69.922 (70.254)
Epoch: [38][150/5005] Time 0.195 (0.219) Data 0.081 (0.062) Loss 2.6043 (2.4509) Prec@1 44.141 (44.715) Prec@5 66.406 (70.204)
Epoch: [38][160/5005] Time 0.201 (0.221) Data 0.045 (0.065) Loss 2.3333 (2.4537) Prec@1 44.141 (44.633) Prec@5 70.703 (70.123)
Epoch: [38][170/5005] Time 0.203 (0.222) Data 0.096 (0.067) Loss 2.5687 (2.4563) Prec@1 45.703 (44.627) Prec@5 69.141 (70.068)
Epoch: [38][180/5005] Time 0.212 (0.223) Data 0.055 (0.069) Loss 2.7113 (2.4553) Prec@1 43.359 (44.674) Prec@5 64.844 (70.028)
Epoch: [38][190/5005] Time 0.227 (0.224) Data 0.049 (0.070) Loss 2.5744 (2.4602) Prec@1 44.141 (44.574) Prec@5 68.750 (69.963)
Epoch: [38][200/5005] Time 0.207 (0.224) Data 0.048 (0.070) Loss 2.6274 (2.4609) Prec@1 37.109 (44.520) Prec@5 67.969 (69.992)
Epoch: [38][210/5005] Time 0.216 (0.224) Data 0.043 (0.070) Loss 2.2633 (2.4595) Prec@1 51.953 (44.544) Prec@5 73.438 (70.063)
Epoch: [38][220/5005] Time 0.212 (0.227) Data 0.056 (0.074) Loss 2.5114 (2.4608) Prec@1 39.062 (44.540) Prec@5 69.141 (70.074)
Epoch: [38][230/5005] Time 0.213 (0.226) Data 0.044 (0.073) Loss 2.4645 (2.4601) Prec@1 43.750 (44.570) Prec@5 71.484 (70.113)
Epoch: [38][240/5005] Time 0.216 (0.226) Data 0.041 (0.072) Loss 2.4435 (2.4596) Prec@1 44.922 (44.554) Prec@5 68.359 (70.118)
Epoch: [38][250/5005] Time 0.212 (0.227) Data 0.056 (0.074) Loss 2.5755 (2.4572) Prec@1 41.016 (44.570) Prec@5 71.094 (70.193)
Epoch: [38][260/5005] Time 0.205 (0.227) Data 0.089 (0.075) Loss 2.3469 (2.4559) Prec@1 46.875 (44.605) Prec@5 71.875 (70.232)
Epoch: [38][270/5005] Time 0.206 (0.228) Data 0.047 (0.075) Loss 2.4956 (2.4558) Prec@1 44.141 (44.602) Prec@5 70.703 (70.243)
Epoch: [38][280/5005] Time 0.212 (0.228) Data 0.045 (0.076) Loss 2.8772 (2.4581) Prec@1 38.672 (44.548) Prec@5 62.500 (70.201)
Epoch: [38][290/5005] Time 0.208 (0.228) Data 0.115 (0.076) Loss 2.3717 (2.4588) Prec@1 42.578 (44.521) Prec@5 73.047 (70.177)
Epoch: [38][300/5005] Time 0.207 (0.228) Data 0.078 (0.077) Loss 2.2962 (2.4584) Prec@1 48.828 (44.523) Prec@5 74.219 (70.193)
Epoch: [38][310/5005] Time 0.207 (0.229) Data 0.040 (0.078) Loss 2.2038 (2.4548) Prec@1 50.781 (44.605) Prec@5 74.219 (70.265)
Epoch: [38][320/5005] Time 0.209 (0.229) Data 0.045 (0.079) Loss 2.6329 (2.4565) Prec@1 43.359 (44.602) Prec@5 69.141 (70.278)
Epoch: [38][330/5005] Time 0.210 (0.229) Data 0.044 (0.078) Loss 2.2830 (2.4538) Prec@1 46.094 (44.623) Prec@5 72.266 (70.320)
Epoch: [38][340/5005] Time 0.305 (0.230) Data 0.220 (0.079) Loss 2.6243 (2.4585) Prec@1 38.281 (44.526) Prec@5 69.141 (70.238)
Epoch: [38][350/5005] Time 0.206 (0.231) Data 0.076 (0.080) Loss 2.6209 (2.4571) Prec@1 42.969 (44.536) Prec@5 67.188 (70.244)
Epoch: [38][360/5005] Time 0.220 (0.230) Data 0.040 (0.080) Loss 2.5455 (2.4577) Prec@1 45.312 (44.540) Prec@5 67.969 (70.219)
Epoch: [38][370/5005] Time 0.211 (0.230) Data 0.042 (0.079) Loss 2.3531 (2.4567) Prec@1 46.875 (44.546) Prec@5 72.266 (70.238)
Epoch: [38][380/5005] Time 0.204 (0.229) Data 0.050 (0.078) Loss 2.5868 (2.4566) Prec@1 43.359 (44.526) Prec@5 68.750 (70.229)
Epoch: [38][390/5005] Time 0.213 (0.229) Data 0.043 (0.077) Loss 2.4866 (2.4571) Prec@1 46.875 (44.538) Prec@5 66.797 (70.202)
Epoch: [38][400/5005] Time 0.217 (0.229) Data 0.040 (0.076) Loss 2.1828 (2.4552) Prec@1 50.391 (44.562) Prec@5 76.172 (70.234)
Epoch: [38][410/5005] Time 0.220 (0.228) Data 0.043 (0.075) Loss 2.3155 (2.4545) Prec@1 48.828 (44.583) Prec@5 71.094 (70.250)
Epoch: [38][420/5005] Time 0.220 (0.228) Data 0.048 (0.075) Loss 2.4062 (2.4538) Prec@1 42.578 (44.607) Prec@5 73.047 (70.263)
Epoch: [38][430/5005] Time 0.212 (0.228) Data 0.041 (0.074) Loss 2.2540 (2.4538) Prec@1 48.047 (44.615) Prec@5 75.781 (70.274)
Epoch: [38][440/5005] Time 0.219 (0.228) Data 0.043 (0.073) Loss 2.4018 (2.4534) Prec@1 48.438 (44.633) Prec@5 71.875 (70.281)
Epoch: [38][450/5005] Time 0.220 (0.227) Data 0.045 (0.073) Loss 2.3989 (2.4539) Prec@1 43.750 (44.596) Prec@5 69.922 (70.274)
Epoch: [38][460/5005] Time 0.214 (0.227) Data 0.043 (0.072) Loss 2.4540 (2.4544) Prec@1 44.141 (44.566) Prec@5 68.359 (70.278)
Epoch: [38][470/5005] Time 0.210 (0.227) Data 0.045 (0.071) Loss 2.5211 (2.4558) Prec@1 47.266 (44.564) Prec@5 68.750 (70.251)
Epoch: [38][480/5005] Time 0.216 (0.227) Data 0.042 (0.071) Loss 2.4350 (2.4550) Prec@1 45.703 (44.576) Prec@5 69.922 (70.256)
Epoch: [38][490/5005] Time 0.221 (0.226) Data 0.042 (0.070) Loss 2.3861 (2.4552) Prec@1 47.266 (44.541) Prec@5 71.484 (70.243)
Epoch: [38][500/5005] Time 0.209 (0.226) Data 0.054 (0.070) Loss 2.6171 (2.4568) Prec@1 44.531 (44.518) Prec@5 66.406 (70.202)
Epoch: [38][510/5005] Time 0.213 (0.226) Data 0.049 (0.069) Loss 2.6995 (2.4578) Prec@1 37.109 (44.497) Prec@5 63.281 (70.178)
Epoch: [38][520/5005] Time 0.225 (0.226) Data 0.040 (0.069) Loss 2.4542 (2.4572) Prec@1 40.625 (44.498) Prec@5 68.750 (70.178)
Epoch: [38][530/5005] Time 0.212 (0.226) Data 0.043 (0.068) Loss 2.3468 (2.4566) Prec@1 47.656 (44.514) Prec@5 71.094 (70.190)
Epoch: [38][540/5005] Time 0.201 (0.226) Data 0.043 (0.068) Loss 2.5927 (2.4578) Prec@1 44.922 (44.495) Prec@5 65.625 (70.164)
Epoch: [38][550/5005] Time 0.221 (0.226) Data 0.043 (0.068) Loss 2.3908 (2.4570) Prec@1 44.922 (44.528) Prec@5 72.656 (70.188)
Epoch: [38][560/5005] Time 0.202 (0.225) Data 0.042 (0.067) Loss 2.5087 (2.4571) Prec@1 46.875 (44.559) Prec@5 68.750 (70.202)
Epoch: [38][570/5005] Time 0.207 (0.225) Data 0.063 (0.067) Loss 2.4709 (2.4574) Prec@1 45.703 (44.555) Prec@5 67.188 (70.186)
Epoch: [38][580/5005] Time 0.223 (0.225) Data 0.050 (0.066) Loss 2.4407 (2.4568) Prec@1 44.141 (44.561) Prec@5 71.094 (70.179)
Epoch: [38][590/5005] Time 0.217 (0.225) Data 0.049 (0.066) Loss 2.6266 (2.4566) Prec@1 44.531 (44.568) Prec@5 66.406 (70.170)
Epoch: [38][600/5005] Time 0.219 (0.225) Data 0.040 (0.066) Loss 2.4195 (2.4580) Prec@1 46.094 (44.534) Prec@5 69.531 (70.151)
Epoch: [38][610/5005] Time 0.212 (0.225) Data 0.051 (0.066) Loss 2.3622 (2.4571) Prec@1 47.656 (44.554) Prec@5 71.875 (70.162)
Epoch: [38][620/5005] Time 0.213 (0.224) Data 0.046 (0.065) Loss 2.3453 (2.4572) Prec@1 46.484 (44.555) Prec@5 71.484 (70.170)
Epoch: [38][630/5005] Time 0.218 (0.224) Data 0.041 (0.065) Loss 2.6750 (2.4569) Prec@1 42.969 (44.576) Prec@5 67.578 (70.173)
Epoch: [38][640/5005] Time 0.214 (0.224) Data 0.046 (0.065) Loss 2.2469 (2.4565) Prec@1 48.828 (44.594) Prec@5 72.656 (70.168)
Epoch: [38][650/5005] Time 0.213 (0.224) Data 0.056 (0.064) Loss 2.5957 (2.4574) Prec@1 39.062 (44.571) Prec@5 69.531 (70.160)
Epoch: [38][660/5005] Time 0.213 (0.224) Data 0.052 (0.064) Loss 2.5306 (2.4563) Prec@1 40.234 (44.590) Prec@5 68.359 (70.180)
Epoch: [38][670/5005] Time 0.207 (0.224) Data 0.044 (0.064) Loss 2.7614 (2.4566) Prec@1 39.062 (44.584) Prec@5 67.188 (70.171)
Epoch: [38][680/5005] Time 0.213 (0.223) Data 0.042 (0.064) Loss 2.3587 (2.4565) Prec@1 47.656 (44.598) Prec@5 73.828 (70.173)
Epoch: [38][690/5005] Time 0.212 (0.223) Data 0.044 (0.064) Loss 2.3213 (2.4561) Prec@1 50.000 (44.617) Prec@5 72.656 (70.185)
Epoch: [38][700/5005] Time 0.208 (0.223) Data 0.044 (0.063) Loss 2.5100 (2.4560) Prec@1 39.062 (44.601) Prec@5 69.531 (70.189)
Epoch: [38][710/5005] Time 0.215 (0.223) Data 0.054 (0.063) Loss 2.2356 (2.4559) Prec@1 49.609 (44.592) Prec@5 74.609 (70.183)
Epoch: [38][720/5005] Time 0.211 (0.223) Data 0.050 (0.063) Loss 2.3563 (2.4549) Prec@1 47.656 (44.613) Prec@5 70.312 (70.202)
Epoch: [38][730/5005] Time 0.206 (0.223) Data 0.044 (0.063) Loss 2.6013 (2.4552) Prec@1 43.359 (44.620) Prec@5 68.750 (70.194)
Epoch: [38][740/5005] Time 0.201 (0.222) Data 0.044 (0.063) Loss 2.5899 (2.4552) Prec@1 42.188 (44.622) Prec@5 68.359 (70.190)
Epoch: [38][750/5005] Time 0.210 (0.222) Data 0.042 (0.062) Loss 2.2814 (2.4550) Prec@1 49.219 (44.622) Prec@5 74.219 (70.196)
Epoch: [38][760/5005] Time 0.215 (0.222) Data 0.042 (0.062) Loss 2.5177 (2.4551) Prec@1 40.625 (44.619) Prec@5 70.703 (70.201)
Epoch: [38][770/5005] Time 0.207 (0.222) Data 0.050 (0.062) Loss 2.4640 (2.4537) Prec@1 44.922 (44.641) Prec@5 69.141 (70.227)
Epoch: [38][780/5005] Time 0.218 (0.222) Data 0.048 (0.062) Loss 2.3493 (2.4531) Prec@1 46.875 (44.652) Prec@5 68.750 (70.232)
Epoch: [38][790/5005] Time 0.209 (0.222) Data 0.041 (0.062) Loss 2.4907 (2.4529) Prec@1 44.922 (44.664) Prec@5 71.875 (70.238)
Epoch: [38][800/5005] Time 0.218 (0.222) Data 0.041 (0.062) Loss 2.3726 (2.4525) Prec@1 43.359 (44.674) Prec@5 72.656 (70.248)
Epoch: [38][810/5005] Time 0.211 (0.222) Data 0.041 (0.061) Loss 2.5807 (2.4529) Prec@1 43.359 (44.672) Prec@5 67.578 (70.240)
Epoch: [38][820/5005] Time 0.212 (0.222) Data 0.044 (0.061) Loss 2.6466 (2.4533) Prec@1 44.141 (44.672) Prec@5 66.406 (70.233)
Epoch: [38][830/5005] Time 0.220 (0.221) Data 0.046 (0.061) Loss 2.3647 (2.4532) Prec@1 45.312 (44.673) Prec@5 70.703 (70.237)
Epoch: [38][840/5005] Time 0.209 (0.221) Data 0.041 (0.061) Loss 2.3882 (2.4531) Prec@1 45.703 (44.687) Prec@5 69.531 (70.252)
Epoch: [38][850/5005] Time 0.216 (0.221) Data 0.042 (0.061) Loss 2.7281 (2.4532) Prec@1 44.531 (44.697) Prec@5 67.188 (70.243)
Epoch: [38][860/5005] Time 0.259 (0.221) Data 0.175 (0.061) Loss 2.3689 (2.4531) Prec@1 48.047 (44.716) Prec@5 69.922 (70.246)
Epoch: [38][870/5005] Time 0.208 (0.222) Data 0.045 (0.061) Loss 2.3695 (2.4516) Prec@1 45.312 (44.748) Prec@5 71.094 (70.273)
Epoch: [38][880/5005] Time 0.208 (0.222) Data 0.046 (0.062) Loss 2.2978 (2.4517) Prec@1 45.312 (44.748) Prec@5 70.703 (70.264)
Epoch: [38][890/5005] Time 0.210 (0.222) Data 0.046 (0.062) Loss 2.7716 (2.4518) Prec@1 39.062 (44.753) Prec@5 64.453 (70.256)
Epoch: [38][900/5005] Time 0.213 (0.222) Data 0.040 (0.062) Loss 2.4438 (2.4516) Prec@1 41.797 (44.748) Prec@5 68.750 (70.269)
Epoch: [38][910/5005] Time 0.202 (0.222) Data 0.042 (0.062) Loss 2.3507 (2.4519) Prec@1 46.875 (44.733) Prec@5 73.828 (70.256)
Epoch: [38][920/5005] Time 0.211 (0.222) Data 0.042 (0.061) Loss 2.4116 (2.4513) Prec@1 49.219 (44.752) Prec@5 72.266 (70.272)
Epoch: [38][930/5005] Time 0.208 (0.222) Data 0.044 (0.061) Loss 2.5260 (2.4511) Prec@1 44.531 (44.765) Prec@5 67.188 (70.272)
Epoch: [38][940/5005] Time 0.206 (0.223) Data 0.046 (0.061) Loss 2.3270 (2.4512) Prec@1 42.188 (44.768) Prec@5 72.266 (70.265)
Epoch: [38][950/5005] Time 0.253 (0.223) Data 0.164 (0.062) Loss 2.6540 (2.4518) Prec@1 40.234 (44.756) Prec@5 69.141 (70.257)
Epoch: [38][960/5005] Time 0.198 (0.223) Data 0.063 (0.062) Loss 2.5584 (2.4521) Prec@1 44.922 (44.741) Prec@5 71.094 (70.255)
Epoch: [38][970/5005] Time 0.202 (0.223) Data 0.050 (0.062) Loss 2.2233 (2.4521) Prec@1 50.781 (44.738) Prec@5 74.609 (70.255)
Epoch: [38][980/5005] Time 0.212 (0.223) Data 0.062 (0.063) Loss 2.3901 (2.4515) Prec@1 44.531 (44.745) Prec@5 67.969 (70.256)
Epoch: [38][990/5005] Time 0.203 (0.223) Data 0.040 (0.063) Loss 2.4392 (2.4518) Prec@1 45.312 (44.736) Prec@5 71.484 (70.249)
Epoch: [38][1000/5005] Time 0.208 (0.223) Data 0.045 (0.063) Loss 2.5029 (2.4518) Prec@1 44.531 (44.728) Prec@5 71.484 (70.259)
Epoch: [38][1010/5005] Time 0.226 (0.223) Data 0.040 (0.063) Loss 2.4546 (2.4514) Prec@1 44.531 (44.737) Prec@5 65.234 (70.254)
Epoch: [38][1020/5005] Time 0.227 (0.223) Data 0.042 (0.062) Loss 2.2545 (2.4522) Prec@1 47.266 (44.724) Prec@5 74.219 (70.244)
Epoch: [38][1030/5005] Time 0.215 (0.223) Data 0.043 (0.062) Loss 2.3865 (2.4521) Prec@1 46.484 (44.720) Prec@5 67.969 (70.237)
Epoch: [38][1040/5005] Time 0.207 (0.223) Data 0.043 (0.062) Loss 2.5271 (2.4523) Prec@1 42.578 (44.714) Prec@5 67.969 (70.243)
Epoch: [38][1050/5005] Time 0.215 (0.223) Data 0.040 (0.062) Loss 2.5753 (2.4524) Prec@1 41.797 (44.705) Prec@5 70.312 (70.242)
Epoch: [38][1060/5005] Time 0.210 (0.222) Data 0.043 (0.062) Loss 2.5819 (2.4531) Prec@1 47.266 (44.708) Prec@5 71.484 (70.239)
Epoch: [38][1070/5005] Time 0.216 (0.222) Data 0.041 (0.062) Loss 2.5425 (2.4531) Prec@1 43.359 (44.701) Prec@5 67.969 (70.228)
Epoch: [38][1080/5005] Time 0.213 (0.222) Data 0.043 (0.061) Loss 2.5245 (2.4534) Prec@1 43.359 (44.704) Prec@5 69.141 (70.227)
Epoch: [38][1090/5005] Time 0.213 (0.222) Data 0.040 (0.061) Loss 2.4559 (2.4532) Prec@1 43.750 (44.699) Prec@5 69.141 (70.238)
Epoch: [38][1100/5005] Time 0.214 (0.222) Data 0.044 (0.061) Loss 2.3582 (2.4530) Prec@1 46.484 (44.702) Prec@5 69.922 (70.243)
Epoch: [38][1110/5005] Time 0.215 (0.222) Data 0.064 (0.061) Loss 2.4841 (2.4531) Prec@1 44.531 (44.712) Prec@5 68.750 (70.236)
Epoch: [38][1120/5005] Time 0.215 (0.222) Data 0.049 (0.061) Loss 2.3627 (2.4522) Prec@1 46.875 (44.726) Prec@5 72.656 (70.256)
Epoch: [38][1130/5005] Time 0.221 (0.222) Data 0.048 (0.061) Loss 2.5404 (2.4521) Prec@1 42.969 (44.727) Prec@5 67.969 (70.253)
Epoch: [38][1140/5005] Time 0.210 (0.222) Data 0.049 (0.061) Loss 2.3641 (2.4516) Prec@1 48.047 (44.730) Prec@5 73.047 (70.272)
Epoch: [38][1150/5005] Time 0.206 (0.222) Data 0.048 (0.061) Loss 2.4592 (2.4511) Prec@1 44.531 (44.748) Prec@5 69.141 (70.280)
Epoch: [38][1160/5005] Time 0.205 (0.221) Data 0.056 (0.061) Loss 2.4892 (2.4513) Prec@1 46.094 (44.748) Prec@5 71.094 (70.279)
Epoch: [38][1170/5005] Time 0.205 (0.221) Data 0.050 (0.060) Loss 2.3302 (2.4513) Prec@1 46.094 (44.747) Prec@5 70.312 (70.274)
Epoch: [38][1180/5005] Time 0.202 (0.221) Data 0.042 (0.060) Loss 2.4906 (2.4516) Prec@1 41.797 (44.736) Prec@5 69.531 (70.271)
Epoch: [38][1190/5005] Time 0.208 (0.221) Data 0.042 (0.060) Loss 2.3415 (2.4514) Prec@1 45.312 (44.731) Prec@5 73.438 (70.279)
Epoch: [38][1200/5005] Time 0.200 (0.221) Data 0.050 (0.060) Loss 2.5718 (2.4514) Prec@1 42.578 (44.729) Prec@5 68.359 (70.283)
Epoch: [38][1210/5005] Time 0.208 (0.221) Data 0.051 (0.060) Loss 2.5893 (2.4519) Prec@1 42.188 (44.725) Prec@5 67.969 (70.273)
Epoch: [38][1220/5005] Time 0.206 (0.221) Data 0.041 (0.060) Loss 2.4886 (2.4521) Prec@1 44.922 (44.728) Prec@5 67.188 (70.268)
Epoch: [38][1230/5005] Time 0.208 (0.221) Data 0.041 (0.060) Loss 2.4566 (2.4523) Prec@1 48.047 (44.725) Prec@5 70.312 (70.259)
Epoch: [38][1240/5005] Time 0.518 (0.221) Data 0.436 (0.060) Loss 2.4801 (2.4526) Prec@1 46.484 (44.729) Prec@5 71.094 (70.245)
Epoch: [38][1250/5005] Time 0.204 (0.221) Data 0.052 (0.060) Loss 2.5853 (2.4531) Prec@1 41.016 (44.713) Prec@5 66.797 (70.238)
Epoch: [38][1260/5005] Time 0.212 (0.221) Data 0.048 (0.061) Loss 2.0980 (2.4521) Prec@1 48.828 (44.729) Prec@5 76.172 (70.256)
Epoch: [38][1270/5005] Time 0.200 (0.221) Data 0.047 (0.061) Loss 2.4315 (2.4523) Prec@1 49.219 (44.734) Prec@5 69.922 (70.245)
Epoch: [38][1280/5005] Time 0.209 (0.221) Data 0.044 (0.061) Loss 2.4698 (2.4525) Prec@1 46.094 (44.735) Prec@5 71.484 (70.244)
Epoch: [38][1290/5005] Time 0.201 (0.221) Data 0.058 (0.061) Loss 2.1690 (2.4520) Prec@1 50.000 (44.743) Prec@5 73.828 (70.253)
Epoch: [38][1300/5005] Time 0.198 (0.221) Data 0.095 (0.061) Loss 2.2853 (2.4517) Prec@1 48.047 (44.743) Prec@5 74.219 (70.255)
Epoch: [38][1310/5005] Time 0.200 (0.222) Data 0.047 (0.062) Loss 2.4277 (2.4520) Prec@1 44.141 (44.731) Prec@5 71.484 (70.261)
Epoch: [38][1320/5005] Time 0.208 (0.221) Data 0.042 (0.062) Loss 2.4360 (2.4517) Prec@1 48.047 (44.739) Prec@5 74.219 (70.265)
Epoch: [38][1330/5005] Time 0.205 (0.221) Data 0.047 (0.062) Loss 2.6866 (2.4524) Prec@1 41.406 (44.725) Prec@5 69.531 (70.258)
Epoch: [38][1340/5005] Time 0.213 (0.221) Data 0.046 (0.062) Loss 2.4542 (2.4523) Prec@1 43.359 (44.717) Prec@5 69.922 (70.257)
Epoch: [38][1350/5005] Time 0.194 (0.221) Data 0.090 (0.061) Loss 2.9003 (2.4526) Prec@1 38.672 (44.708) Prec@5 63.281 (70.256)
Epoch: [38][1360/5005] Time 0.197 (0.221) Data 0.045 (0.062) Loss 2.2620 (2.4524) Prec@1 47.656 (44.717) Prec@5 73.047 (70.255)
Epoch: [38][1370/5005] Time 0.200 (0.221) Data 0.045 (0.062) Loss 2.5504 (2.4520) Prec@1 47.266 (44.724) Prec@5 69.141 (70.255)
Epoch: [38][1380/5005] Time 0.199 (0.221) Data 0.050 (0.062) Loss 2.5530 (2.4518) Prec@1 42.969 (44.727) Prec@5 69.922 (70.264)
Epoch: [38][1390/5005] Time 0.209 (0.221) Data 0.047 (0.062) Loss 2.3957 (2.4516) Prec@1 45.312 (44.730) Prec@5 72.656 (70.264)
Epoch: [38][1400/5005] Time 0.350 (0.221) Data 0.269 (0.062) Loss 2.5077 (2.4510) Prec@1 40.234 (44.734) Prec@5 70.703 (70.275)
Epoch: [38][1410/5005] Time 0.204 (0.221) Data 0.039 (0.062) Loss 2.5582 (2.4508) Prec@1 42.188 (44.742) Prec@5 70.312 (70.285)
Epoch: [38][1420/5005] Time 0.204 (0.221) Data 0.112 (0.063) Loss 2.8528 (2.4511) Prec@1 37.109 (44.745) Prec@5 65.234 (70.284)
Epoch: [38][1430/5005] Time 0.200 (0.221) Data 0.048 (0.063) Loss 2.0977 (2.4509) Prec@1 49.609 (44.745) Prec@5 76.562 (70.291)
Epoch: [38][1440/5005] Time 0.336 (0.222) Data 0.254 (0.063) Loss 2.2838 (2.4508) Prec@1 53.906 (44.747) Prec@5 72.656 (70.295)
Epoch: [38][1450/5005] Time 0.190 (0.222) Data 0.060 (0.064) Loss 2.4664 (2.4507) Prec@1 46.875 (44.750) Prec@5 68.359 (70.287)
Epoch: [38][1460/5005] Time 0.198 (0.222) Data 0.046 (0.064) Loss 2.4596 (2.4508) Prec@1 44.531 (44.748) Prec@5 68.359 (70.288)
Epoch: [38][1470/5005] Time 0.204 (0.222) Data 0.059 (0.064) Loss 2.5333 (2.4510) Prec@1 40.625 (44.746) Prec@5 69.531 (70.285)
Epoch: [38][1480/5005] Time 0.209 (0.222) Data 0.044 (0.064) Loss 2.2747 (2.4514) Prec@1 46.094 (44.746) Prec@5 74.219 (70.286)
Epoch: [38][1490/5005] Time 0.198 (0.222) Data 0.045 (0.064) Loss 2.7294 (2.4513) Prec@1 44.531 (44.747) Prec@5 67.578 (70.292)
Epoch: [38][1500/5005] Time 0.402 (0.222) Data 0.323 (0.064) Loss 2.3730 (2.4511) Prec@1 50.000 (44.749) Prec@5 72.656 (70.298)
Epoch: [38][1510/5005] Time 0.277 (0.222) Data 0.189 (0.064) Loss 2.2655 (2.4510) Prec@1 48.047 (44.748) Prec@5 73.438 (70.297)
Epoch: [38][1520/5005] Time 0.208 (0.222) Data 0.042 (0.064) Loss 2.4346 (2.4508) Prec@1 44.922 (44.753) Prec@5 70.312 (70.300)
Epoch: [38][1530/5005] Time 0.204 (0.222) Data 0.040 (0.064) Loss 2.5683 (2.4508) Prec@1 45.312 (44.757) Prec@5 67.188 (70.300)
Epoch: [38][1540/5005] Time 0.203 (0.222) Data 0.050 (0.064) Loss 2.5709 (2.4511) Prec@1 44.922 (44.755) Prec@5 67.578 (70.293)
Epoch: [38][1550/5005] Time 0.197 (0.222) Data 0.052 (0.064) Loss 2.2307 (2.4507) Prec@1 46.875 (44.762) Prec@5 74.609 (70.296)
Epoch: [38][1560/5005] Time 0.203 (0.222) Data 0.044 (0.064) Loss 2.4204 (2.4507) Prec@1 45.703 (44.763) Prec@5 68.750 (70.297)
Epoch: [38][1570/5005] Time 0.207 (0.222) Data 0.044 (0.064) Loss 2.3011 (2.4503) Prec@1 47.266 (44.776) Prec@5 72.656 (70.300)
Epoch: [38][1580/5005] Time 0.202 (0.222) Data 0.039 (0.064) Loss 2.3199 (2.4503) Prec@1 43.750 (44.770) Prec@5 73.047 (70.300)
Epoch: [38][1590/5005] Time 0.207 (0.222) Data 0.050 (0.065) Loss 2.5741 (2.4505) Prec@1 44.531 (44.768) Prec@5 67.969 (70.301)
Epoch: [38][1600/5005] Time 0.198 (0.222) Data 0.045 (0.065) Loss 2.5093 (2.4507) Prec@1 43.750 (44.765) Prec@5 71.484 (70.302)
Epoch: [38][1610/5005] Time 0.209 (0.222) Data 0.044 (0.065) Loss 2.6296 (2.4509) Prec@1 42.578 (44.769) Prec@5 69.141 (70.300)
Epoch: [38][1620/5005] Time 0.203 (0.222) Data 0.040 (0.065) Loss 2.7304 (2.4508) Prec@1 37.891 (44.773) Prec@5 66.016 (70.301)
Epoch: [38][1630/5005] Time 0.197 (0.222) Data 0.046 (0.065) Loss 2.2823 (2.4509) Prec@1 48.438 (44.776) Prec@5 74.219 (70.303)
Epoch: [38][1640/5005] Time 0.197 (0.222) Data 0.087 (0.065) Loss 2.4217 (2.4509) Prec@1 46.484 (44.780) Prec@5 73.047 (70.308)
Epoch: [38][1650/5005] Time 0.626 (0.222) Data 0.541 (0.065) Loss 2.5292 (2.4508) Prec@1 48.047 (44.785) Prec@5 69.141 (70.308)
Epoch: [38][1660/5005] Time 0.211 (0.222) Data 0.040 (0.065) Loss 2.3159 (2.4501) Prec@1 45.703 (44.800) Prec@5 71.484 (70.316)
Epoch: [38][1670/5005] Time 0.205 (0.222) Data 0.061 (0.065) Loss 2.1920 (2.4500) Prec@1 48.828 (44.803) Prec@5 75.391 (70.319)
Epoch: [38][1680/5005] Time 0.203 (0.222) Data 0.047 (0.065) Loss 2.5620 (2.4501) Prec@1 48.438 (44.805) Prec@5 68.359 (70.314)
Epoch: [38][1690/5005] Time 0.197 (0.222) Data 0.062 (0.065) Loss 2.3276 (2.4498) Prec@1 46.875 (44.806) Prec@5 71.094 (70.322)
Epoch: [38][1700/5005] Time 0.512 (0.222) Data 0.424 (0.065) Loss 2.4270 (2.4497) Prec@1 41.016 (44.804) Prec@5 70.312 (70.325)
Epoch: [38][1710/5005] Time 0.275 (0.222) Data 0.194 (0.066) Loss 2.3634 (2.4493) Prec@1 44.922 (44.800) Prec@5 74.609 (70.331)
Epoch: [38][1720/5005] Time 0.199 (0.222) Data 0.054 (0.066) Loss 2.4522 (2.4494) Prec@1 44.141 (44.796) Prec@5 71.875 (70.331)
Epoch: [38][1730/5005] Time 0.217 (0.222) Data 0.046 (0.066) Loss 2.3886 (2.4493) Prec@1 43.359 (44.799) Prec@5 69.531 (70.338)
Epoch: [38][1740/5005] Time 0.442 (0.222) Data 0.363 (0.066) Loss 2.5817 (2.4492) Prec@1 37.500 (44.794) Prec@5 67.969 (70.342)
Epoch: [38][1750/5005] Time 0.206 (0.222) Data 0.050 (0.066) Loss 2.4807 (2.4490) Prec@1 44.531 (44.799) Prec@5 68.750 (70.348)
Epoch: [38][1760/5005] Time 0.213 (0.222) Data 0.047 (0.066) Loss 2.2801 (2.4488) Prec@1 50.391 (44.811) Prec@5 73.047 (70.350)
Epoch: [38][1770/5005] Time 0.200 (0.222) Data 0.050 (0.066) Loss 2.5803 (2.4486) Prec@1 42.578 (44.810) Prec@5 67.578 (70.352)
Epoch: [38][1780/5005] Time 0.201 (0.222) Data 0.046 (0.066) Loss 2.2818 (2.4484) Prec@1 44.531 (44.808) Prec@5 73.828 (70.354)
Epoch: [38][1790/5005] Time 0.202 (0.222) Data 0.049 (0.066) Loss 2.3663 (2.4480) Prec@1 46.484 (44.818) Prec@5 70.703 (70.358)
Epoch: [38][1800/5005] Time 0.200 (0.222) Data 0.063 (0.067) Loss 2.3238 (2.4479) Prec@1 45.703 (44.822) Prec@5 71.484 (70.359)
Epoch: [38][1810/5005] Time 0.200 (0.222) Data 0.039 (0.067) Loss 2.2872 (2.4476) Prec@1 49.609 (44.821) Prec@5 71.484 (70.358)
Epoch: [38][1820/5005] Time 0.209 (0.222) Data 0.041 (0.067) Loss 2.4745 (2.4476) Prec@1 46.875 (44.823) Prec@5 67.188 (70.356)
Epoch: [38][1830/5005] Time 0.198 (0.222) Data 0.046 (0.067) Loss 2.1752 (2.4472) Prec@1 49.609 (44.828) Prec@5 73.828 (70.359)
Epoch: [38][1840/5005] Time 0.197 (0.222) Data 0.050 (0.067) Loss 2.4910 (2.4472) Prec@1 42.969 (44.826) Prec@5 69.141 (70.357)
Epoch: [38][1850/5005] Time 0.252 (0.222) Data 0.163 (0.067) Loss 2.5355 (2.4471) Prec@1 44.922 (44.838) Prec@5 67.188 (70.356)
Epoch: [38][1860/5005] Time 0.207 (0.222) Data 0.054 (0.067) Loss 2.3917 (2.4471) Prec@1 45.703 (44.840) Prec@5 71.484 (70.356)
Epoch: [38][1870/5005] Time 0.206 (0.222) Data 0.041 (0.067) Loss 2.6835 (2.4477) Prec@1 39.844 (44.830) Prec@5 66.016 (70.347)
Epoch: [38][1880/5005] Time 0.204 (0.222) Data 0.122 (0.067) Loss 2.5237 (2.4476) Prec@1 45.703 (44.837) Prec@5 67.969 (70.346)
Epoch: [38][1890/5005] Time 0.207 (0.222) Data 0.047 (0.067) Loss 2.5301 (2.4476) Prec@1 46.484 (44.836) Prec@5 68.359 (70.348)
Epoch: [38][1900/5005] Time 0.220 (0.222) Data 0.140 (0.068) Loss 2.4172 (2.4481) Prec@1 45.703 (44.823) Prec@5 73.047 (70.344)
Epoch: [38][1910/5005] Time 0.201 (0.222) Data 0.048 (0.068) Loss 2.2968 (2.4480) Prec@1 45.703 (44.822) Prec@5 74.219 (70.342)
Epoch: [38][1920/5005] Time 0.697 (0.223) Data 0.609 (0.068) Loss 2.2911 (2.4478) Prec@1 48.047 (44.826) Prec@5 73.047 (70.342)
Epoch: [38][1930/5005] Time 0.202 (0.223) Data 0.061 (0.068) Loss 2.3948 (2.4477) Prec@1 46.875 (44.830) Prec@5 70.312 (70.344)
Epoch: [38][1940/5005] Time 0.209 (0.222) Data 0.054 (0.068) Loss 2.1649 (2.4473) Prec@1 48.438 (44.828) Prec@5 75.391 (70.354)
Epoch: [38][1950/5005] Time 0.211 (0.223) Data 0.043 (0.068) Loss 2.5340 (2.4472) Prec@1 43.750 (44.832) Prec@5 70.703 (70.360)
Epoch: [38][1960/5005] Time 0.213 (0.223) Data 0.055 (0.068) Loss 2.4448 (2.4470) Prec@1 43.750 (44.831) Prec@5 72.266 (70.365)
Epoch: [38][1970/5005] Time 0.197 (0.223) Data 0.055 (0.068) Loss 2.5130 (2.4473) Prec@1 44.141 (44.828) Prec@5 69.141 (70.360)
Epoch: [38][1980/5005] Time 0.206 (0.223) Data 0.057 (0.068) Loss 2.2734 (2.4471) Prec@1 48.828 (44.839) Prec@5 70.312 (70.361)
Epoch: [38][1990/5005] Time 0.205 (0.223) Data 0.043 (0.068) Loss 2.3344 (2.4470) Prec@1 44.922 (44.840) Prec@5 69.531 (70.360)
Epoch: [38][2000/5005] Time 0.206 (0.223) Data 0.052 (0.068) Loss 2.3081 (2.4471) Prec@1 46.094 (44.838) Prec@5 76.172 (70.359)
Epoch: [38][2010/5005] Time 0.209 (0.223) Data 0.043 (0.069) Loss 2.2541 (2.4473) Prec@1 48.438 (44.833) Prec@5 71.875 (70.355)
Epoch: [38][2020/5005] Time 0.200 (0.223) Data 0.050 (0.069) Loss 2.4431 (2.4473) Prec@1 48.047 (44.831) Prec@5 70.312 (70.352)
Epoch: [38][2030/5005] Time 0.209 (0.223) Data 0.042 (0.069) Loss 2.3134 (2.4472) Prec@1 46.094 (44.830) Prec@5 73.828 (70.353)
Epoch: [38][2040/5005] Time 0.198 (0.223) Data 0.051 (0.069) Loss 2.1558 (2.4469) Prec@1 47.656 (44.836) Prec@5 75.391 (70.359)
Epoch: [38][2050/5005] Time 0.194 (0.223) Data 0.046 (0.069) Loss 2.4860 (2.4467) Prec@1 45.312 (44.843) Prec@5 68.359 (70.364)
Epoch: [38][2060/5005] Time 0.200 (0.223) Data 0.042 (0.069) Loss 2.4091 (2.4468) Prec@1 46.875 (44.839) Prec@5 67.578 (70.363)
Epoch: [38][2070/5005] Time 0.201 (0.223) Data 0.052 (0.069) Loss 2.6108 (2.4469) Prec@1 41.797 (44.831) Prec@5 68.359 (70.361)
Epoch: [38][2080/5005] Time 0.207 (0.223) Data 0.101 (0.069) Loss 2.4506 (2.4469) Prec@1 44.141 (44.831) Prec@5 69.922 (70.363)
Epoch: [38][2090/5005] Time 0.199 (0.223) Data 0.042 (0.069) Loss 2.2487 (2.4463) Prec@1 47.656 (44.833) Prec@5 74.609 (70.371)
Epoch: [38][2100/5005] Time 0.212 (0.223) Data 0.047 (0.069) Loss 2.5334 (2.4461) Prec@1 42.578 (44.838) Prec@5 71.484 (70.369)
Epoch: [38][2110/5005] Time 0.247 (0.223) Data 0.168 (0.069) Loss 2.3188 (2.4460) Prec@1 47.266 (44.846) Prec@5 73.438 (70.368)
Epoch: [38][2120/5005] Time 0.214 (0.223) Data 0.041 (0.069) Loss 2.6056 (2.4458) Prec@1 42.969 (44.848) Prec@5 69.922 (70.376)
Epoch: [38][2130/5005] Time 0.193 (0.223) Data 0.096 (0.069) Loss 2.3895 (2.4456) Prec@1 48.828 (44.847) Prec@5 74.219 (70.383)
Epoch: [38][2140/5005] Time 0.201 (0.223) Data 0.043 (0.069) Loss 2.3472 (2.4456) Prec@1 48.438 (44.848) Prec@5 71.094 (70.382)
Epoch: [38][2150/5005] Time 0.193 (0.223) Data 0.052 (0.069) Loss 2.2781 (2.4456) Prec@1 51.953 (44.854) Prec@5 72.266 (70.384)
Epoch: [38][2160/5005] Time 0.208 (0.223) Data 0.041 (0.069) Loss 2.3358 (2.4456) Prec@1 45.312 (44.849) Prec@5 71.484 (70.385)
Epoch: [38][2170/5005] Time 0.199 (0.223) Data 0.040 (0.069) Loss 2.3617 (2.4454) Prec@1 44.531 (44.852) Prec@5 70.703 (70.384)
Epoch: [38][2180/5005] Time 0.191 (0.223) Data 0.062 (0.070) Loss 2.4950 (2.4456) Prec@1 46.875 (44.850) Prec@5 67.578 (70.382)
Epoch: [38][2190/5005] Time 0.210 (0.223) Data 0.044 (0.070) Loss 2.5781 (2.4456) Prec@1 41.016 (44.850) Prec@5 66.406 (70.382)
Epoch: [38][2200/5005] Time 0.199 (0.223) Data 0.046 (0.070) Loss 2.4553 (2.4457) Prec@1 46.484 (44.848) Prec@5 69.141 (70.380)
Epoch: [38][2210/5005] Time 0.198 (0.223) Data 0.053 (0.070) Loss 2.4784 (2.4457) Prec@1 45.703 (44.852) Prec@5 70.703 (70.380)
Epoch: [38][2220/5005] Time 0.211 (0.223) Data 0.042 (0.070) Loss 2.5788 (2.4456) Prec@1 44.922 (44.855) Prec@5 69.141 (70.385)
Epoch: [38][2230/5005] Time 0.207 (0.223) Data 0.045 (0.070) Loss 2.4477 (2.4457) Prec@1 45.312 (44.856) Prec@5 67.969 (70.385)
Epoch: [38][2240/5005] Time 0.199 (0.223) Data 0.051 (0.070) Loss 2.4618 (2.4459) Prec@1 44.531 (44.855) Prec@5 70.312 (70.382)
Epoch: [38][2250/5005] Time 0.206 (0.223) Data 0.043 (0.070) Loss 2.1959 (2.4460) Prec@1 49.609 (44.852) Prec@5 71.875 (70.378)
Epoch: [38][2260/5005] Time 0.193 (0.223) Data 0.052 (0.070) Loss 2.3604 (2.4457) Prec@1 42.578 (44.856) Prec@5 71.875 (70.386)
Epoch: [38][2270/5005] Time 0.200 (0.223) Data 0.046 (0.070) Loss 2.6713 (2.4454) Prec@1 41.016 (44.863) Prec@5 62.891 (70.387)
Epoch: [38][2280/5005] Time 0.204 (0.223) Data 0.117 (0.070) Loss 2.4416 (2.4454) Prec@1 47.266 (44.866) Prec@5 72.656 (70.391)
Epoch: [38][2290/5005] Time 0.195 (0.223) Data 0.048 (0.070) Loss 2.2916 (2.4454) Prec@1 47.266 (44.865) Prec@5 74.219 (70.390)
Epoch: [38][2300/5005] Time 0.204 (0.223) Data 0.039 (0.070) Loss 2.4774 (2.4453) Prec@1 43.359 (44.869) Prec@5 67.969 (70.388)
Epoch: [38][2310/5005] Time 0.330 (0.223) Data 0.252 (0.070) Loss 2.3153 (2.4452) Prec@1 46.875 (44.873) Prec@5 71.484 (70.388)
Epoch: [38][2320/5005] Time 0.206 (0.223) Data 0.039 (0.070) Loss 2.4871 (2.4451) Prec@1 42.188 (44.874) Prec@5 70.312 (70.390)
Epoch: [38][2330/5005] Time 0.199 (0.223) Data 0.073 (0.070) Loss 2.4706 (2.4451) Prec@1 46.875 (44.876) Prec@5 68.750 (70.387)
Epoch: [38][2340/5005] Time 0.197 (0.223) Data 0.051 (0.070) Loss 2.4713 (2.4448) Prec@1 39.844 (44.875) Prec@5 70.312 (70.394)
Epoch: [38][2350/5005] Time 0.196 (0.223) Data 0.044 (0.070) Loss 2.3862 (2.4446) Prec@1 44.922 (44.880) Prec@5 71.484 (70.399)
Epoch: [38][2360/5005] Time 0.202 (0.223) Data 0.050 (0.070) Loss 2.5402 (2.4447) Prec@1 47.656 (44.880) Prec@5 67.578 (70.396)
Epoch: [38][2370/5005] Time 0.198 (0.223) Data 0.119 (0.070) Loss 2.3893 (2.4446) Prec@1 46.484 (44.877) Prec@5 68.359 (70.396)
Epoch: [38][2380/5005] Time 0.196 (0.223) Data 0.044 (0.071) Loss 2.4909 (2.4445) Prec@1 42.969 (44.875) Prec@5 69.922 (70.399)
Epoch: [38][2390/5005] Time 0.209 (0.223) Data 0.042 (0.070) Loss 2.5393 (2.4444) Prec@1 42.969 (44.876) Prec@5 70.703 (70.403)
Epoch: [38][2400/5005] Time 0.200 (0.223) Data 0.050 (0.070) Loss 2.5334 (2.4445) Prec@1 41.797 (44.868) Prec@5 70.703 (70.403)
Epoch: [38][2410/5005] Time 0.211 (0.223) Data 0.046 (0.070) Loss 2.6359 (2.4445) Prec@1 42.969 (44.868) Prec@5 66.016 (70.402)
Epoch: [38][2420/5005] Time 0.202 (0.223) Data 0.046 (0.070) Loss 2.4639 (2.4444) Prec@1 44.922 (44.875) Prec@5 70.312 (70.404)
Epoch: [38][2430/5005] Time 0.201 (0.223) Data 0.050 (0.070) Loss 2.3956 (2.4444) Prec@1 46.484 (44.872) Prec@5 69.531 (70.398)
Epoch: [38][2440/5005] Time 0.213 (0.223) Data 0.091 (0.070) Loss 2.1511 (2.4442) Prec@1 49.609 (44.875) Prec@5 75.000 (70.399)
Epoch: [38][2450/5005] Time 0.202 (0.223) Data 0.085 (0.070) Loss 2.2648 (2.4440) Prec@1 47.266 (44.880) Prec@5 70.703 (70.400)
Epoch: [38][2460/5005] Time 0.210 (0.223) Data 0.046 (0.070) Loss 2.4515 (2.4437) Prec@1 42.188 (44.882) Prec@5 70.703 (70.403)
Epoch: [38][2470/5005] Time 0.231 (0.223) Data 0.151 (0.070) Loss 2.3264 (2.4436) Prec@1 44.141 (44.884) Prec@5 71.484 (70.410)
Epoch: [38][2480/5005] Time 0.202 (0.223) Data 0.050 (0.070) Loss 2.5235 (2.4438) Prec@1 42.578 (44.877) Prec@5 69.922 (70.407)
Epoch: [38][2490/5005] Time 0.196 (0.223) Data 0.048 (0.070) Loss 2.1747 (2.4438) Prec@1 48.828 (44.876) Prec@5 76.953 (70.407)
Epoch: [38][2500/5005] Time 0.195 (0.223) Data 0.043 (0.070) Loss 2.5120 (2.4438) Prec@1 43.750 (44.877) Prec@5 70.312 (70.406)
Epoch: [38][2510/5005] Time 0.206 (0.223) Data 0.043 (0.070) Loss 2.4810 (2.4437) Prec@1 44.531 (44.879) Prec@5 71.875 (70.405)
Epoch: [38][2520/5005] Time 0.201 (0.223) Data 0.042 (0.070) Loss 2.4132 (2.4438) Prec@1 46.875 (44.881) Prec@5 71.484 (70.402)
Epoch: [38][2530/5005] Time 0.230 (0.223) Data 0.143 (0.071) Loss 2.5663 (2.4438) Prec@1 43.750 (44.882) Prec@5 67.188 (70.402)
Epoch: [38][2540/5005] Time 0.209 (0.223) Data 0.046 (0.071) Loss 2.4528 (2.4437) Prec@1 39.062 (44.883) Prec@5 71.484 (70.402)
Epoch: [38][2550/5005] Time 0.212 (0.223) Data 0.039 (0.071) Loss 2.3815 (2.4437) Prec@1 45.312 (44.884) Prec@5 72.656 (70.406)
Epoch: [38][2560/5005] Time 0.204 (0.223) Data 0.049 (0.071) Loss 2.7317 (2.4436) Prec@1 41.016 (44.883) Prec@5 64.453 (70.407)
Epoch: [38][2570/5005] Time 0.205 (0.223) Data 0.044 (0.070) Loss 2.4141 (2.4437) Prec@1 42.969 (44.885) Prec@5 72.656 (70.406)
Epoch: [38][2580/5005] Time 0.554 (0.223) Data 0.471 (0.071) Loss 2.5797 (2.4440) Prec@1 39.844 (44.879) Prec@5 66.016 (70.399)
Epoch: [38][2590/5005] Time 0.200 (0.223) Data 0.061 (0.071) Loss 2.6018 (2.4439) Prec@1 42.188 (44.884) Prec@5 70.703 (70.400)
Epoch: [38][2600/5005] Time 0.198 (0.223) Data 0.105 (0.071) Loss 2.5714 (2.4441) Prec@1 40.234 (44.881) Prec@5 72.656 (70.398)
Epoch: [38][2610/5005] Time 0.207 (0.223) Data 0.041 (0.071) Loss 2.5777 (2.4439) Prec@1 41.797 (44.885) Prec@5 70.312 (70.404)
Epoch: [38][2620/5005] Time 0.199 (0.223) Data 0.056 (0.071) Loss 2.4468 (2.4440) Prec@1 42.188 (44.883) Prec@5 70.312 (70.403)
Epoch: [38][2630/5005] Time 0.213 (0.223) Data 0.053 (0.071) Loss 2.6377 (2.4444) Prec@1 40.625 (44.882) Prec@5 69.141 (70.398)
Epoch: [38][2640/5005] Time 0.192 (0.223) Data 0.058 (0.071) Loss 2.5339 (2.4445) Prec@1 40.234 (44.875) Prec@5 66.797 (70.394)
Epoch: [38][2650/5005] Time 0.203 (0.223) Data 0.045 (0.071) Loss 2.5868 (2.4446) Prec@1 41.016 (44.874) Prec@5 67.969 (70.390)
Epoch: [38][2660/5005] Time 0.201 (0.223) Data 0.050 (0.071) Loss 2.4534 (2.4445) Prec@1 40.625 (44.875) Prec@5 69.922 (70.386)
Epoch: [38][2670/5005] Time 0.203 (0.223) Data 0.050 (0.071) Loss 2.1733 (2.4443) Prec@1 48.828 (44.882) Prec@5 75.391 (70.390)
Epoch: [38][2680/5005] Time 0.200 (0.223) Data 0.050 (0.071) Loss 2.2174 (2.4442) Prec@1 48.828 (44.878) Prec@5 71.484 (70.390)
Epoch: [38][2690/5005] Time 0.203 (0.223) Data 0.041 (0.071) Loss 2.2623 (2.4441) Prec@1 50.391 (44.878) Prec@5 74.219 (70.392)
Epoch: [38][2700/5005] Time 0.203 (0.223) Data 0.044 (0.071) Loss 2.3421 (2.4442) Prec@1 47.656 (44.873) Prec@5 71.875 (70.392)
Epoch: [38][2710/5005] Time 0.260 (0.223) Data 0.178 (0.071) Loss 2.0775 (2.4444) Prec@1 51.562 (44.867) Prec@5 80.469 (70.392)
Epoch: [38][2720/5005] Time 0.220 (0.223) Data 0.134 (0.071) Loss 2.3367 (2.4444) Prec@1 50.781 (44.865) Prec@5 72.656 (70.394)
Epoch: [38][2730/5005] Time 0.206 (0.223) Data 0.040 (0.071) Loss 2.4180 (2.4442) Prec@1 46.484 (44.867) Prec@5 69.531 (70.395)
Epoch: [38][2740/5005] Time 0.200 (0.223) Data 0.044 (0.071) Loss 2.3609 (2.4440) Prec@1 50.391 (44.873) Prec@5 73.828 (70.399)
Epoch: [38][2750/5005] Time 0.196 (0.223) Data 0.060 (0.071) Loss 2.3765 (2.4438) Prec@1 44.922 (44.878) Prec@5 70.312 (70.400)
Epoch: [38][2760/5005] Time 0.198 (0.223) Data 0.089 (0.071) Loss 2.4683 (2.4437) Prec@1 42.578 (44.879) Prec@5 69.531 (70.404)
Epoch: [38][2770/5005] Time 0.207 (0.223) Data 0.049 (0.071) Loss 2.2405 (2.4438) Prec@1 48.438 (44.878) Prec@5 73.047 (70.403)
Epoch: [38][2780/5005] Time 0.203 (0.223) Data 0.041 (0.071) Loss 2.6727 (2.4438) Prec@1 39.453 (44.881) Prec@5 66.406 (70.401)
Epoch: [38][2790/5005] Time 0.210 (0.223) Data 0.043 (0.071) Loss 2.7211 (2.4439) Prec@1 38.672 (44.879) Prec@5 66.016 (70.398)
Epoch: [38][2800/5005] Time 0.193 (0.223) Data 0.117 (0.071) Loss 2.1165 (2.4438) Prec@1 52.734 (44.881) Prec@5 75.000 (70.401)
Epoch: [38][2810/5005] Time 0.205 (0.223) Data 0.040 (0.071) Loss 2.5452 (2.4439) Prec@1 43.359 (44.877) Prec@5 66.797 (70.398)
Epoch: [38][2820/5005] Time 0.402 (0.223) Data 0.321 (0.071) Loss 2.0697 (2.4437) Prec@1 48.828 (44.875) Prec@5 79.297 (70.402)
Epoch: [38][2830/5005] Time 0.207 (0.223) Data 0.042 (0.071) Loss 2.6792 (2.4439) Prec@1 39.844 (44.867) Prec@5 64.844 (70.400)
Epoch: [38][2840/5005] Time 0.212 (0.223) Data 0.042 (0.071) Loss 2.4267 (2.4439) Prec@1 44.141 (44.866) Prec@5 71.875 (70.402)
Epoch: [38][2850/5005] Time 0.219 (0.223) Data 0.047 (0.071) Loss 2.3352 (2.4438) Prec@1 48.047 (44.870) Prec@5 70.312 (70.406)
Epoch: [38][2860/5005] Time 0.197 (0.223) Data 0.044 (0.071) Loss 2.4816 (2.4440) Prec@1 43.750 (44.869) Prec@5 70.312 (70.403)
Epoch: [38][2870/5005] Time 0.203 (0.223) Data 0.044 (0.071) Loss 2.3763 (2.4437) Prec@1 47.656 (44.872) Prec@5 72.656 (70.408)
Epoch: [38][2880/5005] Time 0.212 (0.223) Data 0.055 (0.071) Loss 2.4631 (2.4437) Prec@1 43.750 (44.874) Prec@5 73.047 (70.408)
Epoch: [38][2890/5005] Time 0.444 (0.223) Data 0.361 (0.071) Loss 2.5014 (2.4436) Prec@1 44.141 (44.875) Prec@5 67.969 (70.404)
Epoch: [38][2900/5005] Time 0.192 (0.223) Data 0.059 (0.071) Loss 2.2491 (2.4433) Prec@1 47.656 (44.880) Prec@5 76.172 (70.414)
Epoch: [38][2910/5005] Time 0.196 (0.223) Data 0.066 (0.072) Loss 2.2904 (2.4433) Prec@1 46.484 (44.882) Prec@5 75.000 (70.415)
Epoch: [38][2920/5005] Time 0.199 (0.223) Data 0.040 (0.072) Loss 2.5595 (2.4433) Prec@1 42.578 (44.881) Prec@5 69.531 (70.418)
Epoch: [38][2930/5005] Time 0.205 (0.223) Data 0.077 (0.072) Loss 2.5574 (2.4433) Prec@1 44.531 (44.879) Prec@5 67.969 (70.420)
Epoch: [38][2940/5005] Time 0.508 (0.223) Data 0.421 (0.072) Loss 2.5280 (2.4433) Prec@1 41.016 (44.877) Prec@5 70.312 (70.420)
Epoch: [38][2950/5005] Time 0.199 (0.223) Data 0.041 (0.072) Loss 2.5993 (2.4430) Prec@1 41.016 (44.880) Prec@5 70.312 (70.425)
Epoch: [38][2960/5005] Time 0.200 (0.223) Data 0.040 (0.072) Loss 2.3555 (2.4430) Prec@1 48.438 (44.885) Prec@5 69.141 (70.426)
Epoch: [38][2970/5005] Time 0.809 (0.224) Data 0.724 (0.072) Loss 2.5958 (2.4429) Prec@1 38.672 (44.884) Prec@5 66.797 (70.424)
Epoch: [38][2980/5005] Time 0.193 (0.223) Data 0.097 (0.072) Loss 2.5374 (2.4429) Prec@1 40.625 (44.885) Prec@5 71.875 (70.426)
Epoch: [38][2990/5005] Time 0.200 (0.223) Data 0.064 (0.072) Loss 2.4012 (2.4430) Prec@1 47.266 (44.883) Prec@5 71.094 (70.425)
Epoch: [38][3000/5005] Time 0.203 (0.223) Data 0.045 (0.072) Loss 2.3379 (2.4428) Prec@1 46.875 (44.886) Prec@5 72.656 (70.430)
Epoch: [38][3010/5005] Time 0.419 (0.223) Data 0.339 (0.072) Loss 2.3709 (2.4429) Prec@1 45.312 (44.882) Prec@5 70.703 (70.428)
Epoch: [38][3020/5005] Time 0.207 (0.223) Data 0.044 (0.072) Loss 2.4537 (2.4431) Prec@1 44.141 (44.880) Prec@5 68.359 (70.424)
Epoch: [38][3030/5005] Time 0.272 (0.223) Data 0.194 (0.072) Loss 2.4606 (2.4431) Prec@1 45.312 (44.878) Prec@5 73.438 (70.425)
Epoch: [38][3040/5005] Time 0.208 (0.223) Data 0.042 (0.072) Loss 2.4596 (2.4431) Prec@1 48.047 (44.882) Prec@5 68.750 (70.423)
Epoch: [38][3050/5005] Time 0.195 (0.223) Data 0.048 (0.072) Loss 2.5165 (2.4431) Prec@1 39.453 (44.879) Prec@5 71.484 (70.426)
Epoch: [38][3060/5005] Time 0.204 (0.223) Data 0.051 (0.072) Loss 2.3837 (2.4430) Prec@1 49.219 (44.875) Prec@5 69.922 (70.427)
Epoch: [38][3070/5005] Time 0.205 (0.223) Data 0.040 (0.072) Loss 2.3147 (2.4428) Prec@1 45.312 (44.878) Prec@5 73.047 (70.429)
Epoch: [38][3080/5005] Time 0.200 (0.223) Data 0.041 (0.072) Loss 2.2285 (2.4428) Prec@1 47.656 (44.881) Prec@5 74.219 (70.430)
Epoch: [38][3090/5005] Time 0.200 (0.223) Data 0.045 (0.072) Loss 2.6089 (2.4426) Prec@1 41.797 (44.883) Prec@5 69.922 (70.434)
Epoch: [38][3100/5005] Time 0.208 (0.223) Data 0.045 (0.072) Loss 2.4683 (2.4427) Prec@1 44.922 (44.881) Prec@5 72.266 (70.432)
Epoch: [38][3110/5005] Time 0.277 (0.223) Data 0.195 (0.072) Loss 2.2278 (2.4424) Prec@1 46.875 (44.885) Prec@5 71.484 (70.436)
Epoch: [38][3120/5005] Time 0.204 (0.223) Data 0.044 (0.072) Loss 2.4873 (2.4425) Prec@1 45.703 (44.885) Prec@5 69.141 (70.436)
Epoch: [38][3130/5005] Time 0.217 (0.223) Data 0.127 (0.072) Loss 2.5272 (2.4423) Prec@1 41.797 (44.890) Prec@5 69.922 (70.439)
Epoch: [38][3140/5005] Time 0.198 (0.224) Data 0.053 (0.073) Loss 2.1880 (2.4422) Prec@1 50.391 (44.892) Prec@5 77.734 (70.440)
Epoch: [38][3150/5005] Time 0.195 (0.224) Data 0.058 (0.073) Loss 2.4213 (2.4420) Prec@1 43.750 (44.893) Prec@5 70.703 (70.445)
Epoch: [38][3160/5005] Time 0.198 (0.224) Data 0.044 (0.073) Loss 2.3216 (2.4419) Prec@1 50.781 (44.900) Prec@5 71.875 (70.447)
Epoch: [38][3170/5005] Time 0.202 (0.224) Data 0.042 (0.073) Loss 2.3912 (2.4420) Prec@1 46.484 (44.898) Prec@5 73.828 (70.448)
Epoch: [38][3180/5005] Time 0.200 (0.223) Data 0.046 (0.073) Loss 2.2441 (2.4420) Prec@1 51.953 (44.897) Prec@5 73.438 (70.448)
Epoch: [38][3190/5005] Time 0.213 (0.223) Data 0.043 (0.072) Loss 2.4125 (2.4421) Prec@1 44.141 (44.898) Prec@5 71.484 (70.449)
Epoch: [38][3200/5005] Time 0.199 (0.223) Data 0.045 (0.072) Loss 2.3793 (2.4420) Prec@1 46.484 (44.902) Prec@5 73.438 (70.449)
Epoch: [38][3210/5005] Time 0.206 (0.223) Data 0.049 (0.072) Loss 2.4757 (2.4420) Prec@1 45.312 (44.907) Prec@5 69.141 (70.450)
Epoch: [38][3220/5005] Time 0.207 (0.223) Data 0.048 (0.072) Loss 2.4766 (2.4420) Prec@1 48.438 (44.913) Prec@5 71.875 (70.450)
Epoch: [38][3230/5005] Time 0.213 (0.223) Data 0.048 (0.072) Loss 2.4316 (2.4419) Prec@1 46.094 (44.916) Prec@5 68.750 (70.452)
Epoch: [38][3240/5005] Time 0.210 (0.223) Data 0.040 (0.072) Loss 2.6392 (2.4422) Prec@1 40.625 (44.909) Prec@5 65.234 (70.444)
Epoch: [38][3250/5005] Time 0.202 (0.223) Data 0.041 (0.072) Loss 2.4677 (2.4422) Prec@1 44.141 (44.907) Prec@5 71.875 (70.443)
Epoch: [38][3260/5005] Time 0.197 (0.223) Data 0.043 (0.072) Loss 2.2611 (2.4422) Prec@1 48.047 (44.906) Prec@5 74.609 (70.444)
Epoch: [38][3270/5005] Time 0.213 (0.223) Data 0.044 (0.072) Loss 2.4562 (2.4421) Prec@1 46.484 (44.906) Prec@5 65.625 (70.446)
Epoch: [38][3280/5005] Time 0.213 (0.223) Data 0.042 (0.072) Loss 2.2800 (2.4421) Prec@1 49.609 (44.907) Prec@5 74.219 (70.444)
Epoch: [38][3290/5005] Time 0.187 (0.223) Data 0.048 (0.072) Loss 2.3671 (2.4420) Prec@1 46.484 (44.909) Prec@5 67.578 (70.446)
Epoch: [38][3300/5005] Time 0.194 (0.224) Data 0.061 (0.073) Loss 2.3603 (2.4419) Prec@1 43.359 (44.913) Prec@5 72.656 (70.446)
Epoch: [38][3310/5005] Time 0.202 (0.224) Data 0.043 (0.073) Loss 2.3795 (2.4418) Prec@1 47.656 (44.917) Prec@5 69.141 (70.445)
Epoch: [38][3320/5005] Time 0.201 (0.224) Data 0.048 (0.073) Loss 2.5402 (2.4418) Prec@1 45.703 (44.915) Prec@5 67.188 (70.446)
Epoch: [38][3330/5005] Time 0.207 (0.224) Data 0.056 (0.073) Loss 2.5300 (2.4416) Prec@1 41.797 (44.916) Prec@5 65.625 (70.446)
Epoch: [38][3340/5005] Time 0.205 (0.224) Data 0.046 (0.073) Loss 2.5776 (2.4415) Prec@1 43.359 (44.918) Prec@5 68.750 (70.449)
Epoch: [38][3350/5005] Time 0.196 (0.224) Data 0.053 (0.072) Loss 2.4538 (2.4415) Prec@1 47.266 (44.920) Prec@5 72.266 (70.453)
Epoch: [38][3360/5005] Time 0.199 (0.224) Data 0.045 (0.072) Loss 2.1487 (2.4414) Prec@1 54.688 (44.923) Prec@5 73.828 (70.455)
Epoch: [38][3370/5005] Time 0.200 (0.224) Data 0.047 (0.072) Loss 2.3751 (2.4415) Prec@1 44.531 (44.923) Prec@5 71.094 (70.454)
Epoch: [38][3380/5005] Time 0.215 (0.224) Data 0.044 (0.072) Loss 2.4946 (2.4413) Prec@1 43.750 (44.924) Prec@5 69.922 (70.456)
Epoch: [38][3390/5005] Time 0.202 (0.224) Data 0.099 (0.072) Loss 2.3458 (2.4414) Prec@1 46.094 (44.922) Prec@5 73.828 (70.452)
Epoch: [38][3400/5005] Time 0.208 (0.224) Data 0.050 (0.073) Loss 2.3146 (2.4415) Prec@1 46.875 (44.923) Prec@5 71.875 (70.451)
Epoch: [38][3410/5005] Time 0.198 (0.224) Data 0.044 (0.073) Loss 2.5194 (2.4414) Prec@1 43.750 (44.925) Prec@5 69.531 (70.454)
Epoch: [38][3420/5005] Time 0.201 (0.224) Data 0.055 (0.073) Loss 2.3804 (2.4412) Prec@1 47.656 (44.928) Prec@5 72.266 (70.457)
Epoch: [38][3430/5005] Time 0.194 (0.224) Data 0.050 (0.073) Loss 2.4176 (2.4412) Prec@1 44.531 (44.928) Prec@5 68.750 (70.455)
Epoch: [38][3440/5005] Time 0.200 (0.224) Data 0.041 (0.073) Loss 2.4678 (2.4412) Prec@1 42.969 (44.927) Prec@5 71.094 (70.456)
Epoch: [38][3450/5005] Time 0.198 (0.224) Data 0.042 (0.073) Loss 2.2388 (2.4412) Prec@1 44.141 (44.927) Prec@5 74.219 (70.456)
Epoch: [38][3460/5005] Time 0.206 (0.224) Data 0.040 (0.073) Loss 2.3322 (2.4411) Prec@1 48.438 (44.929) Prec@5 71.875 (70.455)
Epoch: [38][3470/5005] Time 0.201 (0.224) Data 0.043 (0.073) Loss 2.3266 (2.4411) Prec@1 47.266 (44.931) Prec@5 69.922 (70.456)
Epoch: [38][3480/5005] Time 0.194 (0.224) Data 0.053 (0.073) Loss 2.4881 (2.4409) Prec@1 42.969 (44.933) Prec@5 69.141 (70.460)
Epoch: [38][3490/5005] Time 0.208 (0.224) Data 0.047 (0.073) Loss 2.4620 (2.4408) Prec@1 40.234 (44.934) Prec@5 72.266 (70.462)
Epoch: [38][3500/5005] Time 0.194 (0.224) Data 0.055 (0.073) Loss 2.3517 (2.4408) Prec@1 46.484 (44.932) Prec@5 73.047 (70.462)
Epoch: [38][3510/5005] Time 0.193 (0.224) Data 0.050 (0.073) Loss 2.2455 (2.4407) Prec@1 48.438 (44.932) Prec@5 72.656 (70.465)
Epoch: [38][3520/5005] Time 0.205 (0.224) Data 0.041 (0.073) Loss 2.6187 (2.4407) Prec@1 44.141 (44.934) Prec@5 67.969 (70.466)
Epoch: [38][3530/5005] Time 0.207 (0.224) Data 0.041 (0.073) Loss 2.3992 (2.4405) Prec@1 41.406 (44.939) Prec@5 72.266 (70.468)
Epoch: [38][3540/5005] Time 0.218 (0.224) Data 0.042 (0.073) Loss 2.3668 (2.4404) Prec@1 46.484 (44.940) Prec@5 74.219 (70.470)
Epoch: [38][3550/5005] Time 0.203 (0.224) Data 0.040 (0.073) Loss 2.5418 (2.4403) Prec@1 44.141 (44.940) Prec@5 64.453 (70.471)
Epoch: [38][3560/5005] Time 0.196 (0.224) Data 0.094 (0.073) Loss 2.4420 (2.4401) Prec@1 44.141 (44.941) Prec@5 71.094 (70.475)
Epoch: [38][3570/5005] Time 0.210 (0.224) Data 0.080 (0.073) Loss 2.5062 (2.4401) Prec@1 41.406 (44.942) Prec@5 71.875 (70.478)
Epoch: [38][3580/5005] Time 0.554 (0.224) Data 0.470 (0.073) Loss 2.4483 (2.4401) Prec@1 46.484 (44.941) Prec@5 69.922 (70.480)
Epoch: [38][3590/5005] Time 0.189 (0.224) Data 0.100 (0.073) Loss 2.4625 (2.4397) Prec@1 45.312 (44.946) Prec@5 69.922 (70.487)
Epoch: [38][3600/5005] Time 0.203 (0.224) Data 0.043 (0.073) Loss 2.4279 (2.4395) Prec@1 50.781 (44.952) Prec@5 69.922 (70.488)
Epoch: [38][3610/5005] Time 0.198 (0.224) Data 0.048 (0.073) Loss 2.3448 (2.4396) Prec@1 46.094 (44.949) Prec@5 70.312 (70.485)
Epoch: [38][3620/5005] Time 0.199 (0.224) Data 0.044 (0.073) Loss 2.5200 (2.4394) Prec@1 42.188 (44.952) Prec@5 67.188 (70.489)
Epoch: [38][3630/5005] Time 0.202 (0.224) Data 0.056 (0.073) Loss 2.7539 (2.4394) Prec@1 41.016 (44.952) Prec@5 65.234 (70.488)
Epoch: [38][3640/5005] Time 0.199 (0.224) Data 0.049 (0.073) Loss 2.3710 (2.4393) Prec@1 46.484 (44.956) Prec@5 72.656 (70.489)
Epoch: [38][3650/5005] Time 0.202 (0.224) Data 0.045 (0.073) Loss 2.2932 (2.4393) Prec@1 44.531 (44.956) Prec@5 75.000 (70.487)
Epoch: [38][3660/5005] Time 0.220 (0.224) Data 0.128 (0.073) Loss 2.5657 (2.4391) Prec@1 42.578 (44.962) Prec@5 68.750 (70.490)
Epoch: [38][3670/5005] Time 0.196 (0.224) Data 0.068 (0.073) Loss 2.5641 (2.4392) Prec@1 46.094 (44.964) Prec@5 67.578 (70.488)
Epoch: [38][3680/5005] Time 0.202 (0.224) Data 0.115 (0.073) Loss 2.2865 (2.4392) Prec@1 48.438 (44.963) Prec@5 73.828 (70.486)
Epoch: [38][3690/5005] Time 0.203 (0.224) Data 0.049 (0.073) Loss 2.2259 (2.4391) Prec@1 50.391 (44.963) Prec@5 72.656 (70.487)
Epoch: [38][3700/5005] Time 0.193 (0.224) Data 0.045 (0.073) Loss 2.5027 (2.4393) Prec@1 45.312 (44.962) Prec@5 70.703 (70.486)
Epoch: [38][3710/5005] Time 0.209 (0.224) Data 0.047 (0.074) Loss 2.2714 (2.4392) Prec@1 46.875 (44.962) Prec@5 74.219 (70.488)
Epoch: [38][3720/5005] Time 0.206 (0.224) Data 0.047 (0.074) Loss 2.5130 (2.4391) Prec@1 46.094 (44.964) Prec@5 69.141 (70.493)
Epoch: [38][3730/5005] Time 0.201 (0.224) Data 0.046 (0.074) Loss 2.4241 (2.4389) Prec@1 44.141 (44.964) Prec@5 71.484 (70.493)
Epoch: [38][3740/5005] Time 0.761 (0.224) Data 0.675 (0.074) Loss 2.3488 (2.4386) Prec@1 49.219 (44.970) Prec@5 73.438 (70.498)
Epoch: [38][3750/5005] Time 0.191 (0.224) Data 0.096 (0.074) Loss 2.2035 (2.4387) Prec@1 47.656 (44.970) Prec@5 76.953 (70.494)
Epoch: [38][3760/5005] Time 0.193 (0.224) Data 0.066 (0.074) Loss 2.4637 (2.4388) Prec@1 47.266 (44.970) Prec@5 69.141 (70.492)
Epoch: [38][3770/5005] Time 0.210 (0.224) Data 0.046 (0.074) Loss 2.5159 (2.4386) Prec@1 44.922 (44.971) Prec@5 67.578 (70.494)
Epoch: [38][3780/5005] Time 0.197 (0.224) Data 0.044 (0.074) Loss 2.3490 (2.4385) Prec@1 42.578 (44.971) Prec@5 70.312 (70.494)
Epoch: [38][3790/5005] Time 0.423 (0.224) Data 0.333 (0.074) Loss 2.5361 (2.4385) Prec@1 44.922 (44.970) Prec@5 68.359 (70.496)
Epoch: [38][3800/5005] Time 0.201 (0.224) Data 0.043 (0.074) Loss 2.3887 (2.4387) Prec@1 43.750 (44.966) Prec@5 70.703 (70.494)
Epoch: [38][3810/5005] Time 0.200 (0.224) Data 0.050 (0.074) Loss 2.3502 (2.4388) Prec@1 43.359 (44.961) Prec@5 73.828 (70.493)
Epoch: [38][3820/5005] Time 0.194 (0.224) Data 0.102 (0.074) Loss 2.3451 (2.4387) Prec@1 44.922 (44.961) Prec@5 69.531 (70.495)
Epoch: [38][3830/5005] Time 0.426 (0.224) Data 0.342 (0.074) Loss 2.4087 (2.4385) Prec@1 43.359 (44.965) Prec@5 71.484 (70.498)
Epoch: [38][3840/5005] Time 0.200 (0.224) Data 0.046 (0.074) Loss 2.6894 (2.4386) Prec@1 42.578 (44.963) Prec@5 64.453 (70.495)
Epoch: [38][3850/5005] Time 0.209 (0.224) Data 0.048 (0.074) Loss 2.5469 (2.4386) Prec@1 42.188 (44.961) Prec@5 68.750 (70.497)
Epoch: [38][3860/5005] Time 0.207 (0.224) Data 0.122 (0.074) Loss 2.2258 (2.4386) Prec@1 50.000 (44.963) Prec@5 75.781 (70.496)
Epoch: [38][3870/5005] Time 1.124 (0.224) Data 1.043 (0.074) Loss 2.4257 (2.4386) Prec@1 43.359 (44.961) Prec@5 69.141 (70.494)
Epoch: [38][3880/5005] Time 0.197 (0.224) Data 0.063 (0.074) Loss 2.4128 (2.4385) Prec@1 48.828 (44.962) Prec@5 71.094 (70.496)
Epoch: [38][3890/5005] Time 0.208 (0.224) Data 0.047 (0.074) Loss 2.5994 (2.4385) Prec@1 41.016 (44.960) Prec@5 68.750 (70.497)
Epoch: [38][3900/5005] Time 0.201 (0.224) Data 0.045 (0.074) Loss 2.6181 (2.4386) Prec@1 39.453 (44.958) Prec@5 69.922 (70.496)
Epoch: [38][3910/5005] Time 0.402 (0.224) Data 0.319 (0.074) Loss 2.4802 (2.4386) Prec@1 44.141 (44.955) Prec@5 69.531 (70.498)
Epoch: [38][3920/5005] Time 0.200 (0.224) Data 0.048 (0.074) Loss 2.4356 (2.4386) Prec@1 44.922 (44.957) Prec@5 73.438 (70.498)
Epoch: [38][3930/5005] Time 0.205 (0.224) Data 0.047 (0.074) Loss 2.3370 (2.4383) Prec@1 47.656 (44.961) Prec@5 71.484 (70.503)
Epoch: [38][3940/5005] Time 0.203 (0.224) Data 0.040 (0.074) Loss 2.3276 (2.4383) Prec@1 49.219 (44.962) Prec@5 72.656 (70.506)
Epoch: [38][3950/5005] Time 0.269 (0.224) Data 0.188 (0.074) Loss 2.3353 (2.4381) Prec@1 46.094 (44.964) Prec@5 76.953 (70.512)
Epoch: [38][3960/5005] Time 0.214 (0.224) Data 0.047 (0.074) Loss 2.4688 (2.4381) Prec@1 43.359 (44.962) Prec@5 73.438 (70.511)
Epoch: [38][3970/5005] Time 0.202 (0.224) Data 0.064 (0.075) Loss 2.3633 (2.4381) Prec@1 47.266 (44.959) Prec@5 72.656 (70.511)
Epoch: [38][3980/5005] Time 0.205 (0.224) Data 0.049 (0.075) Loss 2.3544 (2.4381) Prec@1 49.219 (44.962) Prec@5 73.047 (70.512)
Epoch: [38][3990/5005] Time 0.204 (0.224) Data 0.044 (0.075) Loss 2.5333 (2.4382) Prec@1 42.578 (44.961) Prec@5 69.922 (70.510)
Epoch: [38][4000/5005] Time 0.262 (0.224) Data 0.184 (0.075) Loss 2.4807 (2.4382) Prec@1 42.578 (44.961) Prec@5 71.484 (70.510)
Epoch: [38][4010/5005] Time 0.200 (0.224) Data 0.045 (0.075) Loss 2.3569 (2.4379) Prec@1 45.703 (44.966) Prec@5 76.172 (70.514)
Epoch: [38][4020/5005] Time 0.198 (0.224) Data 0.050 (0.075) Loss 2.6454 (2.4380) Prec@1 41.406 (44.964) Prec@5 64.453 (70.513)
Epoch: [38][4030/5005] Time 0.269 (0.224) Data 0.189 (0.075) Loss 2.6377 (2.4382) Prec@1 44.922 (44.963) Prec@5 67.578 (70.504)
Epoch: [38][4040/5005] Time 0.219 (0.224) Data 0.043 (0.075) Loss 2.3900 (2.4383) Prec@1 46.484 (44.963) Prec@5 70.703 (70.504)
Epoch: [38][4050/5005] Time 0.205 (0.224) Data 0.121 (0.075) Loss 2.7719 (2.4383) Prec@1 39.453 (44.963) Prec@5 62.500 (70.506)
Epoch: [38][4060/5005] Time 0.524 (0.224) Data 0.434 (0.075) Loss 2.4547 (2.4382) Prec@1 42.969 (44.963) Prec@5 66.797 (70.507)
Epoch: [38][4070/5005] Time 0.200 (0.224) Data 0.043 (0.075) Loss 2.6032 (2.4382) Prec@1 41.797 (44.963) Prec@5 69.141 (70.509)
Epoch: [38][4080/5005] Time 0.196 (0.224) Data 0.042 (0.075) Loss 2.3769 (2.4381) Prec@1 46.484 (44.967) Prec@5 70.703 (70.511)
Epoch: [38][4090/5005] Time 0.204 (0.224) Data 0.042 (0.075) Loss 2.6086 (2.4380) Prec@1 41.016 (44.968) Prec@5 68.359 (70.511)
Epoch: [38][4100/5005] Time 0.232 (0.224) Data 0.148 (0.075) Loss 2.4836 (2.4380) Prec@1 40.625 (44.967) Prec@5 66.016 (70.507)
Epoch: [38][4110/5005] Time 0.220 (0.224) Data 0.048 (0.075) Loss 2.5683 (2.4379) Prec@1 40.625 (44.967) Prec@5 68.359 (70.508)
Epoch: [38][4120/5005] Time 0.196 (0.224) Data 0.048 (0.075) Loss 2.4374 (2.4378) Prec@1 46.484 (44.967) Prec@5 69.141 (70.507)
Epoch: [38][4130/5005] Time 0.207 (0.224) Data 0.040 (0.075) Loss 2.7366 (2.4379) Prec@1 37.500 (44.965) Prec@5 63.672 (70.506)
Epoch: [38][4140/5005] Time 0.203 (0.224) Data 0.041 (0.075) Loss 2.5311 (2.4378) Prec@1 40.234 (44.966) Prec@5 69.141 (70.509)
Epoch: [38][4150/5005] Time 0.296 (0.224) Data 0.214 (0.075) Loss 2.7424 (2.4378) Prec@1 40.234 (44.967) Prec@5 66.406 (70.508)
Epoch: [38][4160/5005] Time 0.201 (0.224) Data 0.052 (0.075) Loss 2.3598 (2.4379) Prec@1 46.094 (44.966) Prec@5 70.312 (70.509)
Epoch: [38][4170/5005] Time 0.207 (0.224) Data 0.046 (0.075) Loss 2.3205 (2.4377) Prec@1 42.578 (44.969) Prec@5 70.312 (70.510)
Epoch: [38][4180/5005] Time 0.197 (0.224) Data 0.064 (0.075) Loss 2.2586 (2.4376) Prec@1 52.344 (44.971) Prec@5 73.438 (70.513)
Epoch: [38][4190/5005] Time 0.200 (0.224) Data 0.042 (0.075) Loss 2.3512 (2.4376) Prec@1 47.656 (44.974) Prec@5 71.875 (70.511)
Epoch: [38][4200/5005] Time 0.197 (0.224) Data 0.056 (0.075) Loss 2.2474 (2.4376) Prec@1 45.312 (44.972) Prec@5 74.609 (70.512)
Epoch: [38][4210/5005] Time 0.196 (0.224) Data 0.050 (0.075) Loss 2.2738 (2.4375) Prec@1 48.828 (44.976) Prec@5 73.438 (70.513)
Epoch: [38][4220/5005] Time 0.201 (0.224) Data 0.053 (0.075) Loss 2.6189 (2.4376) Prec@1 43.750 (44.975) Prec@5 70.703 (70.510)
Epoch: [38][4230/5005] Time 0.206 (0.224) Data 0.045 (0.075) Loss 2.5071 (2.4376) Prec@1 40.234 (44.974) Prec@5 73.438 (70.510)
Epoch: [38][4240/5005] Time 0.199 (0.224) Data 0.046 (0.075) Loss 2.2718 (2.4376) Prec@1 44.922 (44.971) Prec@5 75.781 (70.512)
Epoch: [38][4250/5005] Time 0.198 (0.224) Data 0.045 (0.075) Loss 2.3808 (2.4374) Prec@1 45.703 (44.973) Prec@5 74.219 (70.516)
Epoch: [38][4260/5005] Time 0.197 (0.224) Data 0.041 (0.075) Loss 2.2954 (2.4373) Prec@1 44.922 (44.973) Prec@5 73.438 (70.518)
Epoch: [38][4270/5005] Time 0.217 (0.224) Data 0.127 (0.075) Loss 2.5931 (2.4374) Prec@1 41.797 (44.971) Prec@5 68.750 (70.515)
Epoch: [38][4280/5005] Time 0.193 (0.224) Data 0.064 (0.075) Loss 2.4597 (2.4374) Prec@1 45.312 (44.974) Prec@5 72.266 (70.515)
Epoch: [38][4290/5005] Time 0.208 (0.224) Data 0.046 (0.075) Loss 2.5655 (2.4373) Prec@1 44.922 (44.975) Prec@5 67.969 (70.517)
Epoch: [38][4300/5005] Time 0.206 (0.224) Data 0.039 (0.075) Loss 2.1003 (2.4371) Prec@1 51.172 (44.979) Prec@5 76.172 (70.520)
Epoch: [38][4310/5005] Time 0.199 (0.224) Data 0.050 (0.075) Loss 2.3723 (2.4371) Prec@1 46.875 (44.979) Prec@5 71.484 (70.520)
Epoch: [38][4320/5005] Time 0.400 (0.224) Data 0.313 (0.075) Loss 2.3634 (2.4371) Prec@1 46.094 (44.979) Prec@5 71.875 (70.520)
Epoch: [38][4330/5005] Time 0.198 (0.224) Data 0.051 (0.075) Loss 2.3461 (2.4371) Prec@1 47.266 (44.981) Prec@5 71.875 (70.521)
Epoch: [38][4340/5005] Time 0.199 (0.224) Data 0.051 (0.075) Loss 2.4504 (2.4372) Prec@1 45.312 (44.979) Prec@5 70.703 (70.522)
Epoch: [38][4350/5005] Time 0.197 (0.224) Data 0.048 (0.075) Loss 2.4527 (2.4370) Prec@1 48.438 (44.985) Prec@5 67.969 (70.525)
Epoch: [38][4360/5005] Time 0.481 (0.224) Data 0.391 (0.075) Loss 2.1623 (2.4369) Prec@1 47.266 (44.984) Prec@5 74.609 (70.530)
Epoch: [38][4370/5005] Time 0.209 (0.224) Data 0.059 (0.075) Loss 2.4192 (2.4368) Prec@1 46.094 (44.984) Prec@5 69.922 (70.532)
Epoch: [38][4380/5005] Time 0.206 (0.224) Data 0.059 (0.075) Loss 2.4550 (2.4368) Prec@1 40.625 (44.983) Prec@5 68.359 (70.533)
Epoch: [38][4390/5005] Time 0.206 (0.224) Data 0.046 (0.075) Loss 2.4872 (2.4366) Prec@1 41.406 (44.986) Prec@5 69.531 (70.536)
Epoch: [38][4400/5005] Time 0.201 (0.224) Data 0.042 (0.075) Loss 2.4088 (2.4366) Prec@1 42.969 (44.986) Prec@5 70.312 (70.534)
Epoch: [38][4410/5005] Time 0.204 (0.224) Data 0.122 (0.075) Loss 2.4445 (2.4366) Prec@1 40.625 (44.986) Prec@5 74.219 (70.534)
Epoch: [38][4420/5005] Time 0.598 (0.224) Data 0.516 (0.075) Loss 1.9835 (2.4365) Prec@1 51.172 (44.983) Prec@5 78.906 (70.532)
Epoch: [38][4430/5005] Time 0.204 (0.224) Data 0.051 (0.075) Loss 2.5138 (2.4363) Prec@1 44.531 (44.988) Prec@5 68.750 (70.536)
Epoch: [38][4440/5005] Time 0.194 (0.224) Data 0.042 (0.075) Loss 2.6080 (2.4363) Prec@1 41.797 (44.990) Prec@5 70.312 (70.538)
Epoch: [38][4450/5005] Time 0.199 (0.224) Data 0.041 (0.075) Loss 2.4088 (2.4363) Prec@1 43.359 (44.990) Prec@5 71.875 (70.536)
Epoch: [38][4460/5005] Time 0.207 (0.224) Data 0.041 (0.075) Loss 2.4565 (2.4361) Prec@1 45.703 (44.993) Prec@5 70.703 (70.540)
Epoch: [38][4470/5005] Time 0.198 (0.224) Data 0.041 (0.075) Loss 2.3412 (2.4362) Prec@1 42.578 (44.991) Prec@5 68.359 (70.537)
Epoch: [38][4480/5005] Time 0.200 (0.224) Data 0.041 (0.075) Loss 2.2377 (2.4363) Prec@1 45.703 (44.990) Prec@5 72.656 (70.535)
Epoch: [38][4490/5005] Time 0.196 (0.224) Data 0.046 (0.075) Loss 2.4667 (2.4363) Prec@1 44.531 (44.987) Prec@5 71.094 (70.534)
Epoch: [38][4500/5005] Time 0.202 (0.224) Data 0.041 (0.075) Loss 2.4613 (2.4364) Prec@1 44.531 (44.986) Prec@5 72.266 (70.536)
Epoch: [38][4510/5005] Time 0.206 (0.224) Data 0.069 (0.075) Loss 2.2685 (2.4363) Prec@1 47.266 (44.987) Prec@5 73.047 (70.535)
Epoch: [38][4520/5005] Time 0.200 (0.224) Data 0.046 (0.075) Loss 2.2236 (2.4361) Prec@1 50.391 (44.990) Prec@5 75.000 (70.538)
Epoch: [38][4530/5005] Time 0.202 (0.224) Data 0.044 (0.075) Loss 2.3491 (2.4360) Prec@1 45.703 (44.993) Prec@5 72.266 (70.542)
Epoch: [38][4540/5005] Time 0.221 (0.224) Data 0.140 (0.075) Loss 2.4754 (2.4362) Prec@1 46.094 (44.993) Prec@5 71.094 (70.541)
Epoch: [38][4550/5005] Time 0.212 (0.224) Data 0.045 (0.075) Loss 2.4527 (2.4362) Prec@1 46.875 (44.996) Prec@5 68.359 (70.540)
Epoch: [38][4560/5005] Time 0.199 (0.224) Data 0.090 (0.075) Loss 2.4212 (2.4362) Prec@1 42.969 (44.997) Prec@5 73.047 (70.539)
Epoch: [38][4570/5005] Time 0.211 (0.224) Data 0.042 (0.075) Loss 2.5258 (2.4361) Prec@1 42.578 (44.999) Prec@5 64.844 (70.539)
Epoch: [38][4580/5005] Time 0.208 (0.224) Data 0.050 (0.075) Loss 2.5033 (2.4360) Prec@1 38.672 (44.998) Prec@5 69.141 (70.539)
Epoch: [38][4590/5005] Time 0.201 (0.224) Data 0.048 (0.075) Loss 2.3076 (2.4361) Prec@1 45.312 (44.998) Prec@5 72.656 (70.541)
Epoch: [38][4600/5005] Time 0.380 (0.224) Data 0.301 (0.075) Loss 2.1064 (2.4362) Prec@1 52.734 (44.998) Prec@5 76.562 (70.537)
Epoch: [38][4610/5005] Time 0.271 (0.224) Data 0.181 (0.075) Loss 2.2697 (2.4361) Prec@1 46.875 (44.999) Prec@5 72.266 (70.536)
Epoch: [38][4620/5005] Time 0.551 (0.224) Data 0.469 (0.076) Loss 2.2720 (2.4361) Prec@1 48.438 (44.999) Prec@5 69.531 (70.535)
Epoch: [38][4630/5005] Time 0.393 (0.224) Data 0.312 (0.076) Loss 2.2354 (2.4360) Prec@1 49.609 (45.001) Prec@5 73.828 (70.538)
Epoch: [38][4640/5005] Time 0.187 (0.224) Data 0.061 (0.076) Loss 2.3387 (2.4359) Prec@1 46.484 (44.999) Prec@5 71.875 (70.540)
Epoch: [38][4650/5005] Time 0.212 (0.224) Data 0.045 (0.076) Loss 2.4166 (2.4359) Prec@1 45.312 (45.001) Prec@5 71.484 (70.540)
Epoch: [38][4660/5005] Time 0.198 (0.224) Data 0.057 (0.076) Loss 2.7804 (2.4359) Prec@1 40.625 (45.001) Prec@5 63.281 (70.539)
Epoch: [38][4670/5005] Time 0.197 (0.224) Data 0.078 (0.076) Loss 2.2325 (2.4357) Prec@1 44.141 (45.002) Prec@5 74.609 (70.542)
Epoch: [38][4680/5005] Time 0.193 (0.225) Data 0.045 (0.076) Loss 2.2619 (2.4356) Prec@1 47.266 (45.005) Prec@5 74.219 (70.544)
Epoch: [38][4690/5005] Time 0.204 (0.225) Data 0.066 (0.076) Loss 2.4371 (2.4356) Prec@1 46.484 (45.004) Prec@5 70.703 (70.546)
Epoch: [38][4700/5005] Time 0.201 (0.225) Data 0.050 (0.076) Loss 2.3924 (2.4356) Prec@1 44.531 (45.004) Prec@5 70.703 (70.543)
Epoch: [38][4710/5005] Time 0.203 (0.224) Data 0.047 (0.076) Loss 2.3603 (2.4354) Prec@1 47.266 (45.008) Prec@5 71.484 (70.547)
Epoch: [38][4720/5005] Time 0.201 (0.224) Data 0.048 (0.076) Loss 2.2901 (2.4354) Prec@1 48.828 (45.008) Prec@5 74.609 (70.547)
Epoch: [38][4730/5005] Time 0.215 (0.224) Data 0.054 (0.076) Loss 2.5239 (2.4355) Prec@1 42.969 (45.003) Prec@5 67.188 (70.544)
Epoch: [38][4740/5005] Time 0.208 (0.224) Data 0.045 (0.076) Loss 2.2772 (2.4355) Prec@1 46.484 (45.005) Prec@5 75.000 (70.546)
Epoch: [38][4750/5005] Time 0.195 (0.224) Data 0.062 (0.076) Loss 2.2795 (2.4353) Prec@1 45.703 (45.008) Prec@5 71.875 (70.548)
Epoch: [38][4760/5005] Time 0.197 (0.224) Data 0.054 (0.076) Loss 2.7166 (2.4351) Prec@1 39.844 (45.012) Prec@5 69.531 (70.551)
Epoch: [38][4770/5005] Time 0.201 (0.224) Data 0.047 (0.076) Loss 2.3083 (2.4351) Prec@1 46.875 (45.011) Prec@5 73.438 (70.551)
Epoch: [38][4780/5005] Time 0.189 (0.224) Data 0.105 (0.076) Loss 2.4500 (2.4351) Prec@1 41.797 (45.012) Prec@5 68.750 (70.552)
Epoch: [38][4790/5005] Time 0.202 (0.224) Data 0.043 (0.076) Loss 2.7139 (2.4351) Prec@1 40.625 (45.013) Prec@5 66.797 (70.553)
Epoch: [38][4800/5005] Time 0.196 (0.224) Data 0.044 (0.076) Loss 2.5333 (2.4351) Prec@1 44.141 (45.014) Prec@5 70.703 (70.555)
Epoch: [38][4810/5005] Time 0.208 (0.224) Data 0.048 (0.076) Loss 2.5904 (2.4350) Prec@1 42.969 (45.015) Prec@5 67.578 (70.555)
Epoch: [38][4820/5005] Time 0.198 (0.225) Data 0.045 (0.076) Loss 2.6709 (2.4350) Prec@1 42.969 (45.016) Prec@5 64.062 (70.555)
Epoch: [38][4830/5005] Time 0.203 (0.225) Data 0.040 (0.076) Loss 2.4109 (2.4348) Prec@1 46.875 (45.019) Prec@5 70.312 (70.557)
Epoch: [38][4840/5005] Time 0.205 (0.225) Data 0.123 (0.076) Loss 2.1907 (2.4348) Prec@1 49.609 (45.022) Prec@5 73.828 (70.558)
Epoch: [38][4850/5005] Time 0.217 (0.225) Data 0.051 (0.076) Loss 2.4493 (2.4349) Prec@1 41.797 (45.020) Prec@5 70.312 (70.555)
Epoch: [38][4860/5005] Time 0.202 (0.225) Data 0.047 (0.076) Loss 2.4434 (2.4349) Prec@1 44.531 (45.020) Prec@5 67.969 (70.554)
Epoch: [38][4870/5005] Time 0.188 (0.225) Data 0.048 (0.076) Loss 2.4863 (2.4350) Prec@1 47.266 (45.021) Prec@5 71.094 (70.553)
Epoch: [38][4880/5005] Time 0.215 (0.225) Data 0.043 (0.076) Loss 2.2466 (2.4348) Prec@1 48.438 (45.021) Prec@5 71.484 (70.555)
Epoch: [38][4890/5005] Time 0.207 (0.224) Data 0.054 (0.076) Loss 2.4647 (2.4348) Prec@1 42.188 (45.021) Prec@5 68.750 (70.554)
Epoch: [38][4900/5005] Time 0.267 (0.224) Data 0.184 (0.076) Loss 2.2557 (2.4347) Prec@1 47.266 (45.026) Prec@5 73.047 (70.557)
Epoch: [38][4910/5005] Time 0.192 (0.225) Data 0.050 (0.076) Loss 2.4291 (2.4344) Prec@1 44.531 (45.029) Prec@5 72.656 (70.562)
Epoch: [38][4920/5005] Time 0.189 (0.225) Data 0.048 (0.076) Loss 2.4029 (2.4344) Prec@1 42.578 (45.029) Prec@5 70.703 (70.563)
Epoch: [38][4930/5005] Time 0.204 (0.225) Data 0.043 (0.076) Loss 2.5404 (2.4343) Prec@1 45.312 (45.030) Prec@5 69.531 (70.564)
Epoch: [38][4940/5005] Time 0.203 (0.224) Data 0.040 (0.076) Loss 2.3999 (2.4343) Prec@1 45.312 (45.031) Prec@5 69.531 (70.562)
Epoch: [38][4950/5005] Time 0.197 (0.224) Data 0.057 (0.076) Loss 2.1569 (2.4343) Prec@1 47.266 (45.030) Prec@5 75.781 (70.563)
Epoch: [38][4960/5005] Time 0.205 (0.225) Data 0.050 (0.076) Loss 2.6137 (2.4342) Prec@1 42.188 (45.032) Prec@5 69.141 (70.563)
Epoch: [38][4970/5005] Time 0.202 (0.225) Data 0.044 (0.076) Loss 2.6013 (2.4341) Prec@1 41.016 (45.032) Prec@5 69.922 (70.566)
Epoch: [38][4980/5005] Time 0.322 (0.225) Data 0.239 (0.076) Loss 2.4062 (2.4340) Prec@1 47.656 (45.034) Prec@5 69.141 (70.569)
Epoch: [38][4990/5005] Time 0.264 (0.225) Data 0.188 (0.076) Loss 2.5164 (2.4339) Prec@1 43.359 (45.035) Prec@5 66.016 (70.568)
Epoch: [38][5000/5005] Time 0.211 (0.225) Data 0.068 (0.076) Loss 2.4688 (2.4338) Prec@1 44.531 (45.037) Prec@5 67.969 (70.567)
Test: [0/196] Time 2.605 (2.605) Loss 2.4219 (2.4219) Prec@1 50.781 (50.781) Prec@5 66.797 (66.797)
Test: [10/196] Time 0.047 (0.415) Loss 2.5216 (2.6175) Prec@1 47.656 (43.999) Prec@5 70.312 (68.359)
Test: [20/196] Time 0.053 (0.302) Loss 2.4601 (2.6286) Prec@1 46.484 (43.192) Prec@5 74.219 (68.099)
Test: [30/196] Time 0.043 (0.274) Loss 2.5009 (2.6302) Prec@1 37.891 (42.729) Prec@5 67.969 (67.830)
Test: [40/196] Time 0.727 (0.271) Loss 2.3695 (2.6216) Prec@1 50.781 (42.988) Prec@5 73.047 (68.197)
Test: [50/196] Time 0.043 (0.264) Loss 2.6959 (2.6243) Prec@1 43.359 (42.946) Prec@5 70.703 (68.153)
Test: [60/196] Time 0.171 (0.252) Loss 2.5714 (2.6102) Prec@1 45.703 (43.283) Prec@5 67.969 (68.251)
Test: [70/196] Time 0.650 (0.253) Loss 2.5745 (2.6058) Prec@1 43.750 (43.233) Prec@5 69.922 (68.321)
Test: [80/196] Time 0.564 (0.248) Loss 2.4840 (2.6122) Prec@1 48.438 (43.186) Prec@5 75.000 (68.297)
Test: [90/196] Time 0.591 (0.245) Loss 2.6956 (2.6160) Prec@1 43.750 (43.158) Prec@5 66.016 (68.196)
Test: [100/196] Time 0.357 (0.243) Loss 2.5903 (2.6129) Prec@1 50.000 (43.363) Prec@5 67.188 (68.243)
Test: [110/196] Time 0.043 (0.236) Loss 2.7910 (2.6148) Prec@1 39.453 (43.405) Prec@5 62.109 (68.208)
Test: [120/196] Time 0.105 (0.237) Loss 2.4693 (2.6126) Prec@1 45.703 (43.453) Prec@5 71.484 (68.224)
Test: [130/196] Time 0.174 (0.235) Loss 2.3392 (2.6099) Prec@1 48.047 (43.503) Prec@5 72.266 (68.270)
Test: [140/196] Time 0.466 (0.238) Loss 2.4758 (2.6104) Prec@1 42.969 (43.437) Prec@5 69.141 (68.287)
Test: [150/196] Time 0.200 (0.237) Loss 2.2527 (2.6077) Prec@1 46.875 (43.453) Prec@5 77.734 (68.354)
Test: [160/196] Time 0.043 (0.235) Loss 2.5371 (2.6067) Prec@1 44.531 (43.432) Prec@5 71.094 (68.410)
Test: [170/196] Time 0.044 (0.232) Loss 2.4884 (2.6086) Prec@1 43.750 (43.423) Prec@5 71.094 (68.426)
Test: [180/196] Time 0.213 (0.236) Loss 2.8454 (2.6135) Prec@1 40.625 (43.292) Prec@5 65.625 (68.327)
Test: [190/196] Time 0.132 (0.235) Loss 2.8094 (2.6162) Prec@1 42.188 (43.239) Prec@5 63.672 (68.206)
* Prec@1 43.234 Prec@5 68.226
Learning rate: 0.0001
Epoch: [39][0/5005] Time 2.167 (2.167) Data 2.069 (2.069) Loss 2.3682 (2.3682) Prec@1 46.484 (46.484) Prec@5 71.484 (71.484)
Epoch: [39][10/5005] Time 0.193 (0.379) Data 0.062 (0.237) Loss 2.5171 (2.4403) Prec@1 49.219 (44.389) Prec@5 69.141 (70.952)
Epoch: [39][20/5005] Time 0.190 (0.294) Data 0.055 (0.149) Loss 2.5110 (2.4614) Prec@1 44.531 (43.676) Prec@5 70.703 (70.164)
Epoch: [39][30/5005] Time 0.199 (0.263) Data 0.050 (0.117) Loss 2.4123 (2.4296) Prec@1 47.266 (44.695) Prec@5 71.094 (70.602)
Epoch: [39][40/5005] Time 0.205 (0.248) Data 0.042 (0.099) Loss 2.2940 (2.4338) Prec@1 47.266 (44.703) Prec@5 73.828 (70.474)
Epoch: [39][50/5005] Time 0.197 (0.239) Data 0.043 (0.088) Loss 2.3171 (2.4360) Prec@1 43.359 (44.547) Prec@5 76.172 (70.558)
Epoch: [39][60/5005] Time 0.199 (0.233) Data 0.045 (0.081) Loss 2.4088 (2.4339) Prec@1 45.703 (44.602) Prec@5 72.266 (70.613)
Epoch: [39][70/5005] Time 0.202 (0.234) Data 0.045 (0.076) Loss 2.2720 (2.4425) Prec@1 50.391 (44.619) Prec@5 74.609 (70.560)
Epoch: [39][80/5005] Time 0.195 (0.230) Data 0.056 (0.072) Loss 2.3397 (2.4371) Prec@1 50.391 (44.816) Prec@5 69.531 (70.597)
Epoch: [39][90/5005] Time 0.203 (0.227) Data 0.040 (0.070) Loss 2.4184 (2.4380) Prec@1 41.016 (44.875) Prec@5 71.094 (70.630)
Epoch: [39][100/5005] Time 0.193 (0.224) Data 0.043 (0.067) Loss 2.3200 (2.4378) Prec@1 44.922 (44.937) Prec@5 70.703 (70.572)
Epoch: [39][110/5005] Time 0.192 (0.222) Data 0.045 (0.065) Loss 2.4064 (2.4398) Prec@1 42.969 (44.894) Prec@5 71.875 (70.510)
Epoch: [39][120/5005] Time 0.194 (0.220) Data 0.087 (0.064) Loss 2.4562 (2.4392) Prec@1 42.578 (44.964) Prec@5 71.094 (70.619)
Epoch: [39][130/5005] Time 0.198 (0.220) Data 0.041 (0.064) Loss 2.6105 (2.4419) Prec@1 40.625 (44.892) Prec@5 66.406 (70.503)
Epoch: [39][140/5005] Time 0.194 (0.221) Data 0.050 (0.065) Loss 2.5436 (2.4400) Prec@1 42.188 (44.911) Prec@5 69.531 (70.523)
Epoch: [39][150/5005] Time 0.526 (0.224) Data 0.445 (0.068) Loss 2.5582 (2.4411) Prec@1 42.578 (44.847) Prec@5 68.750 (70.457)
Epoch: [39][160/5005] Time 0.191 (0.223) Data 0.102 (0.068) Loss 2.4396 (2.4433) Prec@1 44.922 (44.813) Prec@5 68.750 (70.436)
Epoch: [39][170/5005] Time 0.196 (0.224) Data 0.044 (0.070) Loss 2.6121 (2.4433) Prec@1 41.406 (44.860) Prec@5 69.141 (70.459)
Epoch: [39][180/5005] Time 0.205 (0.226) Data 0.057 (0.072) Loss 2.6332 (2.4438) Prec@1 42.578 (44.931) Prec@5 64.453 (70.448)
Epoch: [39][190/5005] Time 0.211 (0.225) Data 0.061 (0.072) Loss 2.5554 (2.4490) Prec@1 46.094 (44.842) Prec@5 69.922 (70.327)
Epoch: [39][200/5005] Time 0.214 (0.226) Data 0.123 (0.074) Loss 2.7547 (2.4501) Prec@1 37.109 (44.741) Prec@5 63.672 (70.279)
Epoch: [39][210/5005] Time 0.206 (0.226) Data 0.055 (0.074) Loss 2.2753 (2.4495) Prec@1 44.141 (44.733) Prec@5 73.047 (70.296)
Epoch: [39][220/5005] Time 0.216 (0.227) Data 0.044 (0.076) Loss 2.5491 (2.4499) Prec@1 41.406 (44.720) Prec@5 72.266 (70.300)
Epoch: [39][230/5005] Time 0.302 (0.229) Data 0.223 (0.076) Loss 2.4579 (2.4498) Prec@1 38.672 (44.734) Prec@5 71.094 (70.321)
Epoch: [39][240/5005] Time 0.218 (0.228) Data 0.047 (0.077) Loss 2.3301 (2.4490) Prec@1 49.609 (44.770) Prec@5 71.875 (70.337)
Epoch: [39][250/5005] Time 0.213 (0.229) Data 0.047 (0.077) Loss 2.5538 (2.4486) Prec@1 42.969 (44.783) Prec@5 70.703 (70.358)
Epoch: [39][260/5005] Time 0.208 (0.229) Data 0.088 (0.077) Loss 2.3028 (2.4485) Prec@1 45.312 (44.798) Prec@5 74.609 (70.356)
Epoch: [39][270/5005] Time 0.621 (0.231) Data 0.527 (0.079) Loss 2.3923 (2.4486) Prec@1 49.609 (44.798) Prec@5 73.047 (70.363)
Epoch: [39][280/5005] Time 0.209 (0.231) Data 0.048 (0.079) Loss 2.8784 (2.4522) Prec@1 39.844 (44.738) Prec@5 64.453 (70.296)
Epoch: [39][290/5005] Time 0.199 (0.231) Data 0.045 (0.078) Loss 2.3361 (2.4536) Prec@1 46.094 (44.661) Prec@5 73.047 (70.287)
Epoch: [39][300/5005] Time 0.209 (0.230) Data 0.043 (0.077) Loss 2.3566 (2.4522) Prec@1 47.656 (44.691) Prec@5 70.703 (70.301)
Epoch: [39][310/5005] Time 0.208 (0.231) Data 0.040 (0.078) Loss 2.3910 (2.4491) Prec@1 43.750 (44.751) Prec@5 71.875 (70.361)
Epoch: [39][320/5005] Time 0.208 (0.232) Data 0.045 (0.079) Loss 2.6552 (2.4500) Prec@1 39.844 (44.752) Prec@5 67.969 (70.354)
Epoch: [39][330/5005] Time 0.202 (0.233) Data 0.052 (0.079) Loss 2.1353 (2.4487) Prec@1 47.656 (44.781) Prec@5 74.609 (70.373)
Epoch: [39][340/5005] Time 0.206 (0.232) Data 0.049 (0.078) Loss 2.5502 (2.4517) Prec@1 46.094 (44.760) Prec@5 69.141 (70.326)
Epoch: [39][350/5005] Time 0.205 (0.232) Data 0.073 (0.079) Loss 2.5985 (2.4496) Prec@1 43.359 (44.777) Prec@5 65.625 (70.349)
Epoch: [39][360/5005] Time 0.212 (0.232) Data 0.052 (0.078) Loss 2.7109 (2.4496) Prec@1 41.016 (44.788) Prec@5 66.797 (70.331)
Epoch: [39][370/5005] Time 0.218 (0.231) Data 0.041 (0.077) Loss 2.4323 (2.4477) Prec@1 46.094 (44.817) Prec@5 73.438 (70.370)
Epoch: [39][380/5005] Time 0.213 (0.231) Data 0.045 (0.076) Loss 2.6109 (2.4478) Prec@1 44.531 (44.836) Prec@5 66.016 (70.359)
Epoch: [39][390/5005] Time 0.217 (0.230) Data 0.052 (0.075) Loss 2.4083 (2.4475) Prec@1 48.828 (44.833) Prec@5 71.094 (70.365)
Epoch: [39][400/5005] Time 0.199 (0.230) Data 0.043 (0.075) Loss 2.4564 (2.4472) Prec@1 41.797 (44.818) Prec@5 69.141 (70.391)
Epoch: [39][410/5005] Time 0.215 (0.230) Data 0.039 (0.074) Loss 2.3327 (2.4473) Prec@1 45.312 (44.828) Prec@5 72.266 (70.389)
Epoch: [39][420/5005] Time 0.211 (0.229) Data 0.046 (0.073) Loss 2.3071 (2.4468) Prec@1 46.484 (44.830) Prec@5 71.875 (70.407)
Epoch: [39][430/5005] Time 0.209 (0.229) Data 0.045 (0.073) Loss 2.3985 (2.4472) Prec@1 49.609 (44.813) Prec@5 71.875 (70.409)
Epoch: [39][440/5005] Time 0.210 (0.228) Data 0.046 (0.072) Loss 2.3967 (2.4458) Prec@1 48.828 (44.823) Prec@5 71.094 (70.428)
Epoch: [39][450/5005] Time 0.217 (0.228) Data 0.057 (0.072) Loss 2.4886 (2.4468) Prec@1 35.938 (44.782) Prec@5 69.531 (70.399)
Epoch: [39][460/5005] Time 0.212 (0.228) Data 0.045 (0.071) Loss 2.4315 (2.4473) Prec@1 44.922 (44.761) Prec@5 69.141 (70.388)
Epoch: [39][470/5005] Time 0.219 (0.228) Data 0.045 (0.071) Loss 2.3310 (2.4481) Prec@1 46.484 (44.750) Prec@5 71.094 (70.344)
Epoch: [39][480/5005] Time 0.219 (0.227) Data 0.047 (0.070) Loss 2.5428 (2.4482) Prec@1 44.922 (44.756) Prec@5 69.531 (70.347)
Epoch: [39][490/5005] Time 0.218 (0.227) Data 0.047 (0.070) Loss 2.3826 (2.4491) Prec@1 47.266 (44.743) Prec@5 71.094 (70.329)
Epoch: [39][500/5005] Time 0.211 (0.227) Data 0.060 (0.069) Loss 2.5549 (2.4506) Prec@1 44.531 (44.735) Prec@5 67.188 (70.305)
Epoch: [39][510/5005] Time 0.209 (0.226) Data 0.050 (0.069) Loss 2.7964 (2.4510) Prec@1 38.672 (44.734) Prec@5 64.844 (70.304)
Epoch: [39][520/5005] Time 0.217 (0.226) Data 0.041 (0.068) Loss 2.4289 (2.4508) Prec@1 47.266 (44.752) Prec@5 70.312 (70.303)
Epoch: [39][530/5005] Time 0.227 (0.226) Data 0.044 (0.068) Loss 2.2663 (2.4507) Prec@1 48.438 (44.770) Prec@5 73.047 (70.302)
Epoch: [39][540/5005] Time 0.209 (0.226) Data 0.058 (0.068) Loss 2.6488 (2.4520) Prec@1 41.797 (44.737) Prec@5 65.625 (70.289)
Epoch: [39][550/5005] Time 0.208 (0.226) Data 0.045 (0.067) Loss 2.4224 (2.4513) Prec@1 46.094 (44.760) Prec@5 75.000 (70.309)
Epoch: [39][560/5005] Time 0.210 (0.225) Data 0.047 (0.067) Loss 2.5506 (2.4511) Prec@1 45.703 (44.762) Prec@5 70.703 (70.328)
Epoch: [39][570/5005] Time 0.218 (0.225) Data 0.045 (0.067) Loss 2.5073 (2.4518) Prec@1 42.578 (44.734) Prec@5 67.578 (70.321)
Epoch: [39][580/5005] Time 0.206 (0.225) Data 0.041 (0.066) Loss 2.5062 (2.4511) Prec@1 43.359 (44.736) Prec@5 66.797 (70.327)
Epoch: [39][590/5005] Time 0.211 (0.225) Data 0.041 (0.066) Loss 2.6103 (2.4516) Prec@1 43.750 (44.743) Prec@5 65.625 (70.306)
Epoch: [39][600/5005] Time 0.210 (0.224) Data 0.037 (0.066) Loss 2.5041 (2.4534) Prec@1 45.312 (44.723) Prec@5 70.312 (70.284)
Epoch: [39][610/5005] Time 0.216 (0.224) Data 0.042 (0.065) Loss 2.3570 (2.4531) Prec@1 44.141 (44.730) Prec@5 72.656 (70.286)
Epoch: [39][620/5005] Time 0.215 (0.224) Data 0.045 (0.065) Loss 2.4917 (2.4531) Prec@1 45.703 (44.756) Prec@5 70.312 (70.297)
Epoch: [39][630/5005] Time 0.217 (0.224) Data 0.043 (0.065) Loss 2.7591 (2.4527) Prec@1 38.672 (44.762) Prec@5 67.969 (70.309)
Epoch: [39][640/5005] Time 0.201 (0.224) Data 0.057 (0.064) Loss 2.2416 (2.4520) Prec@1 43.359 (44.763) Prec@5 74.609 (70.321)
Epoch: [39][650/5005] Time 0.214 (0.224) Data 0.046 (0.064) Loss 2.5736 (2.4530) Prec@1 41.797 (44.742) Prec@5 66.016 (70.309)
Epoch: [39][660/5005] Time 0.219 (0.223) Data 0.044 (0.064) Loss 2.6275 (2.4522) Prec@1 40.625 (44.756) Prec@5 67.578 (70.330)
Epoch: [39][670/5005] Time 0.214 (0.223) Data 0.043 (0.063) Loss 2.6858 (2.4518) Prec@1 42.578 (44.771) Prec@5 66.406 (70.337)
Epoch: [39][680/5005] Time 0.213 (0.223) Data 0.045 (0.063) Loss 2.3095 (2.4515) Prec@1 51.953 (44.785) Prec@5 73.438 (70.347)
Epoch: [39][690/5005] Time 0.218 (0.223) Data 0.043 (0.063) Loss 2.2558 (2.4504) Prec@1 49.219 (44.808) Prec@5 73.047 (70.358)
Epoch: [39][700/5005] Time 0.217 (0.223) Data 0.048 (0.063) Loss 2.5273 (2.4502) Prec@1 40.234 (44.783) Prec@5 69.922 (70.367)
Epoch: [39][710/5005] Time 0.214 (0.223) Data 0.046 (0.063) Loss 2.2676 (2.4500) Prec@1 47.266 (44.783) Prec@5 75.391 (70.370)
Epoch: [39][720/5005] Time 0.219 (0.222) Data 0.045 (0.062) Loss 2.3953 (2.4493) Prec@1 48.828 (44.807) Prec@5 74.219 (70.380)
Epoch: [39][730/5005] Time 0.202 (0.222) Data 0.047 (0.062) Loss 2.6304 (2.4496) Prec@1 43.359 (44.800) Prec@5 67.578 (70.364)
Epoch: [39][740/5005] Time 0.211 (0.222) Data 0.051 (0.062) Loss 2.5417 (2.4497) Prec@1 45.703 (44.806) Prec@5 66.016 (70.353)
Epoch: [39][750/5005] Time 0.206 (0.222) Data 0.043 (0.062) Loss 2.1540 (2.4491) Prec@1 49.609 (44.823) Prec@5 75.391 (70.359)
Epoch: [39][760/5005] Time 0.210 (0.222) Data 0.053 (0.061) Loss 2.5329 (2.4496) Prec@1 40.234 (44.814) Prec@5 71.484 (70.344)
Epoch: [39][770/5005] Time 0.210 (0.222) Data 0.041 (0.061) Loss 2.4338 (2.4484) Prec@1 45.312 (44.837) Prec@5 70.312 (70.366)
Epoch: [39][780/5005] Time 0.211 (0.222) Data 0.046 (0.061) Loss 2.5482 (2.4485) Prec@1 40.234 (44.829) Prec@5 65.234 (70.355)
Epoch: [39][790/5005] Time 0.210 (0.221) Data 0.044 (0.061) Loss 2.4242 (2.4484) Prec@1 46.094 (44.834) Prec@5 70.312 (70.361)
Epoch: [39][800/5005] Time 0.215 (0.221) Data 0.045 (0.061) Loss 2.3896 (2.4478) Prec@1 46.094 (44.853) Prec@5 68.750 (70.364)
Epoch: [39][810/5005] Time 0.215 (0.221) Data 0.054 (0.061) Loss 2.6752 (2.4480) Prec@1 41.797 (44.854) Prec@5 67.969 (70.364)
Epoch: [39][820/5005] Time 0.209 (0.221) Data 0.039 (0.061) Loss 2.6122 (2.4485) Prec@1 42.188 (44.852) Prec@5 66.406 (70.352)
Epoch: [39][830/5005] Time 0.200 (0.222) Data 0.058 (0.061) Loss 2.4207 (2.4487) Prec@1 44.922 (44.845) Prec@5 72.266 (70.346)
Epoch: [39][840/5005] Time 0.197 (0.222) Data 0.045 (0.061) Loss 2.4180 (2.4491) Prec@1 41.797 (44.843) Prec@5 69.922 (70.357)
Epoch: [39][850/5005] Time 0.203 (0.221) Data 0.048 (0.061) Loss 2.5979 (2.4488) Prec@1 39.062 (44.844) Prec@5 71.484 (70.368)
Epoch: [39][860/5005] Time 0.208 (0.221) Data 0.046 (0.061) Loss 2.4622 (2.4488) Prec@1 43.750 (44.847) Prec@5 69.922 (70.369)
Epoch: [39][870/5005] Time 0.208 (0.221) Data 0.043 (0.061) Loss 2.4271 (2.4481) Prec@1 44.531 (44.866) Prec@5 72.266 (70.381)
Epoch: [39][880/5005] Time 0.209 (0.221) Data 0.048 (0.062) Loss 2.3258 (2.4486) Prec@1 46.094 (44.850) Prec@5 70.312 (70.368)
Epoch: [39][890/5005] Time 0.205 (0.221) Data 0.052 (0.062) Loss 2.6923 (2.4485) Prec@1 41.797 (44.852) Prec@5 66.016 (70.363)
Epoch: [39][900/5005] Time 0.206 (0.222) Data 0.050 (0.062) Loss 2.3423 (2.4478) Prec@1 47.266 (44.861) Prec@5 73.828 (70.378)
Epoch: [39][910/5005] Time 0.198 (0.221) Data 0.049 (0.062) Loss 2.3284 (2.4475) Prec@1 42.578 (44.856) Prec@5 72.656 (70.379)
Epoch: [39][920/5005] Time 0.210 (0.222) Data 0.046 (0.063) Loss 2.4248 (2.4470) Prec@1 48.047 (44.862) Prec@5 72.656 (70.387)
Epoch: [39][930/5005] Time 0.197 (0.222) Data 0.067 (0.063) Loss 2.4025 (2.4464) Prec@1 49.219 (44.882) Prec@5 69.922 (70.387)
Epoch: [39][940/5005] Time 0.203 (0.223) Data 0.044 (0.064) Loss 2.3129 (2.4464) Prec@1 48.438 (44.879) Prec@5 70.703 (70.386)
Epoch: [39][950/5005] Time 0.199 (0.223) Data 0.047 (0.064) Loss 2.5109 (2.4470) Prec@1 45.703 (44.886) Prec@5 66.406 (70.377)
Epoch: [39][960/5005] Time 0.199 (0.223) Data 0.039 (0.064) Loss 2.7041 (2.4472) Prec@1 42.188 (44.887) Prec@5 64.844 (70.379)
Epoch: [39][970/5005] Time 0.208 (0.223) Data 0.048 (0.065) Loss 2.1899 (2.4471) Prec@1 51.172 (44.881) Prec@5 73.438 (70.374)
Epoch: [39][980/5005] Time 0.207 (0.223) Data 0.071 (0.065) Loss 2.2898 (2.4462) Prec@1 46.484 (44.902) Prec@5 72.266 (70.385)
Epoch: [39][990/5005] Time 0.213 (0.223) Data 0.060 (0.065) Loss 2.4382 (2.4463) Prec@1 43.359 (44.902) Prec@5 69.141 (70.378)
Epoch: [39][1000/5005] Time 0.215 (0.223) Data 0.041 (0.065) Loss 2.4331 (2.4463) Prec@1 49.219 (44.908) Prec@5 70.703 (70.380)
Epoch: [39][1010/5005] Time 0.210 (0.223) Data 0.058 (0.065) Loss 2.4043 (2.4457) Prec@1 45.312 (44.919) Prec@5 68.359 (70.386)
Epoch: [39][1020/5005] Time 0.205 (0.223) Data 0.045 (0.064) Loss 2.2118 (2.4463) Prec@1 48.047 (44.907) Prec@5 77.734 (70.368)
Epoch: [39][1030/5005] Time 0.211 (0.222) Data 0.041 (0.064) Loss 2.3388 (2.4458) Prec@1 44.531 (44.915) Prec@5 74.219 (70.383)
Epoch: [39][1040/5005] Time 0.214 (0.222) Data 0.043 (0.064) Loss 2.5548 (2.4463) Prec@1 43.750 (44.907) Prec@5 70.703 (70.368)
Epoch: [39][1050/5005] Time 0.207 (0.222) Data 0.045 (0.064) Loss 2.5976 (2.4468) Prec@1 42.578 (44.888) Prec@5 67.969 (70.360)
Epoch: [39][1060/5005] Time 0.210 (0.222) Data 0.044 (0.064) Loss 2.5080 (2.4469) Prec@1 45.312 (44.885) Prec@5 69.531 (70.363)
Epoch: [39][1070/5005] Time 0.211 (0.222) Data 0.062 (0.064) Loss 2.4504 (2.4469) Prec@1 40.234 (44.874) Prec@5 71.094 (70.360)
Epoch: [39][1080/5005] Time 0.218 (0.222) Data 0.043 (0.063) Loss 2.4720 (2.4471) Prec@1 44.141 (44.865) Prec@5 70.703 (70.364)
Epoch: [39][1090/5005] Time 0.206 (0.222) Data 0.043 (0.063) Loss 2.3664 (2.4462) Prec@1 44.922 (44.878) Prec@5 70.312 (70.377)
Epoch: [39][1100/5005] Time 0.204 (0.222) Data 0.061 (0.063) Loss 2.3755 (2.4458) Prec@1 46.484 (44.886) Prec@5 73.047 (70.384)
Epoch: [39][1110/5005] Time 0.216 (0.222) Data 0.043 (0.063) Loss 2.4680 (2.4456) Prec@1 42.969 (44.890) Prec@5 69.922 (70.382)
Epoch: [39][1120/5005] Time 0.201 (0.222) Data 0.063 (0.063) Loss 2.4019 (2.4449) Prec@1 46.484 (44.895) Prec@5 67.969 (70.387)
Epoch: [39][1130/5005] Time 0.210 (0.222) Data 0.044 (0.063) Loss 2.5170 (2.4452) Prec@1 44.922 (44.893) Prec@5 69.531 (70.384)
Epoch: [39][1140/5005] Time 0.219 (0.221) Data 0.040 (0.062) Loss 2.4151 (2.4445) Prec@1 45.312 (44.896) Prec@5 70.703 (70.394)
Epoch: [39][1150/5005] Time 0.211 (0.221) Data 0.046 (0.062) Loss 2.4046 (2.4442) Prec@1 42.969 (44.909) Prec@5 70.703 (70.406)
Epoch: [39][1160/5005] Time 0.206 (0.221) Data 0.045 (0.062) Loss 2.5303 (2.4443) Prec@1 45.312 (44.910) Prec@5 71.094 (70.403)
Epoch: [39][1170/5005] Time 0.197 (0.221) Data 0.048 (0.062) Loss 2.2760 (2.4444) Prec@1 48.828 (44.905) Prec@5 72.656 (70.406)
Epoch: [39][1180/5005] Time 0.213 (0.221) Data 0.047 (0.062) Loss 2.4186 (2.4442) Prec@1 44.922 (44.897) Prec@5 71.094 (70.407)
Epoch: [39][1190/5005] Time 0.213 (0.221) Data 0.041 (0.062) Loss 2.3076 (2.4441) Prec@1 44.922 (44.896) Prec@5 69.141 (70.413)
Epoch: [39][1200/5005] Time 0.216 (0.221) Data 0.042 (0.062) Loss 2.6861 (2.4444) Prec@1 41.016 (44.895) Prec@5 70.703 (70.411)
Epoch: [39][1210/5005] Time 0.207 (0.221) Data 0.042 (0.062) Loss 2.4729 (2.4448) Prec@1 42.578 (44.888) Prec@5 69.531 (70.404)
Epoch: [39][1220/5005] Time 0.205 (0.221) Data 0.049 (0.061) Loss 2.4411 (2.4451) Prec@1 46.094 (44.883) Prec@5 70.312 (70.402)
Epoch: [39][1230/5005] Time 0.262 (0.221) Data 0.176 (0.062) Loss 2.4774 (2.4452) Prec@1 45.312 (44.878) Prec@5 70.312 (70.402)
Epoch: [39][1240/5005] Time 0.209 (0.221) Data 0.039 (0.062) Loss 2.5298 (2.4453) Prec@1 46.094 (44.876) Prec@5 68.359 (70.394)
Epoch: [39][1250/5005] Time 0.552 (0.221) Data 0.458 (0.062) Loss 2.7010 (2.4458) Prec@1 40.234 (44.862) Prec@5 63.281 (70.384)
Epoch: [39][1260/5005] Time 0.202 (0.221) Data 0.048 (0.062) Loss 2.1925 (2.4451) Prec@1 51.953 (44.876) Prec@5 73.828 (70.394)
Epoch: [39][1270/5005] Time 0.216 (0.221) Data 0.043 (0.063) Loss 2.4727 (2.4456) Prec@1 42.578 (44.871) Prec@5 68.750 (70.391)
Epoch: [39][1280/5005] Time 0.201 (0.221) Data 0.042 (0.063) Loss 2.4530 (2.4458) Prec@1 44.141 (44.863) Prec@5 71.094 (70.391)
Epoch: [39][1290/5005] Time 0.203 (0.221) Data 0.052 (0.063) Loss 2.1208 (2.4455) Prec@1 49.609 (44.870) Prec@5 75.391 (70.395)
Epoch: [39][1300/5005] Time 0.188 (0.222) Data 0.067 (0.063) Loss 2.3514 (2.4456) Prec@1 46.484 (44.871) Prec@5 72.266 (70.400)
Epoch: [39][1310/5005] Time 0.205 (0.221) Data 0.050 (0.063) Loss 2.4731 (2.4454) Prec@1 43.359 (44.868) Prec@5 70.703 (70.402)
Epoch: [39][1320/5005] Time 0.214 (0.221) Data 0.046 (0.063) Loss 2.5581 (2.4452) Prec@1 46.094 (44.871) Prec@5 72.656 (70.404)
Epoch: [39][1330/5005] Time 0.212 (0.221) Data 0.041 (0.063) Loss 2.6389 (2.4459) Prec@1 41.406 (44.859) Prec@5 66.406 (70.391)
Epoch: [39][1340/5005] Time 0.220 (0.221) Data 0.043 (0.063) Loss 2.5546 (2.4459) Prec@1 43.750 (44.862) Prec@5 67.969 (70.393)
Epoch: [39][1350/5005] Time 0.322 (0.221) Data 0.237 (0.063) Loss 2.8059 (2.4463) Prec@1 41.406 (44.851) Prec@5 65.625 (70.391)
Epoch: [39][1360/5005] Time 0.209 (0.221) Data 0.049 (0.063) Loss 2.3111 (2.4462) Prec@1 47.656 (44.856) Prec@5 73.047 (70.393)
Epoch: [39][1370/5005] Time 0.211 (0.221) Data 0.045 (0.063) Loss 2.5385 (2.4460) Prec@1 42.969 (44.860) Prec@5 69.922 (70.401)
Epoch: [39][1380/5005] Time 0.190 (0.221) Data 0.050 (0.063) Loss 2.4094 (2.4458) Prec@1 46.875 (44.863) Prec@5 72.656 (70.409)
Epoch: [39][1390/5005] Time 0.494 (0.222) Data 0.407 (0.063) Loss 2.4502 (2.4458) Prec@1 44.531 (44.864) Prec@5 70.312 (70.409)
Epoch: [39][1400/5005] Time 0.201 (0.222) Data 0.049 (0.063) Loss 2.4148 (2.4451) Prec@1 46.875 (44.873) Prec@5 68.359 (70.424)
Epoch: [39][1410/5005] Time 0.210 (0.222) Data 0.045 (0.063) Loss 2.3815 (2.4448) Prec@1 45.312 (44.878) Prec@5 73.047 (70.435)
Epoch: [39][1420/5005] Time 0.210 (0.221) Data 0.046 (0.063) Loss 2.7363 (2.4449) Prec@1 42.188 (44.876) Prec@5 68.750 (70.435)
Epoch: [39][1430/5005] Time 0.208 (0.222) Data 0.049 (0.063) Loss 2.2049 (2.4445) Prec@1 51.172 (44.888) Prec@5 73.438 (70.442)
Epoch: [39][1440/5005] Time 0.198 (0.222) Data 0.055 (0.064) Loss 2.1421 (2.4443) Prec@1 51.562 (44.890) Prec@5 76.562 (70.444)
Epoch: [39][1450/5005] Time 0.206 (0.222) Data 0.044 (0.064) Loss 2.2266 (2.4443) Prec@1 48.047 (44.883) Prec@5 75.781 (70.442)
Epoch: [39][1460/5005] Time 0.203 (0.222) Data 0.062 (0.064) Loss 2.5109 (2.4441) Prec@1 42.578 (44.888) Prec@5 64.453 (70.438)
Epoch: [39][1470/5005] Time 0.201 (0.222) Data 0.074 (0.063) Loss 2.5255 (2.4443) Prec@1 41.797 (44.889) Prec@5 72.656 (70.435)
Epoch: [39][1480/5005] Time 0.195 (0.222) Data 0.058 (0.063) Loss 2.0876 (2.4443) Prec@1 52.344 (44.888) Prec@5 77.344 (70.437)
Epoch: [39][1490/5005] Time 0.243 (0.222) Data 0.157 (0.064) Loss 2.7063 (2.4440) Prec@1 40.234 (44.892) Prec@5 66.016 (70.444)
Epoch: [39][1500/5005] Time 0.669 (0.222) Data 0.581 (0.064) Loss 2.5248 (2.4438) Prec@1 44.922 (44.897) Prec@5 66.406 (70.446)
Epoch: [39][1510/5005] Time 0.209 (0.222) Data 0.041 (0.064) Loss 2.2971 (2.4435) Prec@1 46.875 (44.901) Prec@5 70.312 (70.443)
Epoch: [39][1520/5005] Time 0.204 (0.222) Data 0.048 (0.064) Loss 2.4810 (2.4431) Prec@1 43.359 (44.906) Prec@5 69.531 (70.444)
Epoch: [39][1530/5005] Time 0.191 (0.222) Data 0.061 (0.064) Loss 2.6089 (2.4432) Prec@1 38.281 (44.904) Prec@5 69.922 (70.452)
Epoch: [39][1540/5005] Time 0.203 (0.222) Data 0.040 (0.064) Loss 2.5165 (2.4434) Prec@1 44.141 (44.904) Prec@5 67.578 (70.442)
Epoch: [39][1550/5005] Time 0.208 (0.222) Data 0.045 (0.064) Loss 2.3487 (2.4431) Prec@1 47.656 (44.903) Prec@5 73.438 (70.445)
Epoch: [39][1560/5005] Time 0.206 (0.222) Data 0.041 (0.064) Loss 2.3252 (2.4434) Prec@1 45.703 (44.890) Prec@5 72.266 (70.437)
Epoch: [39][1570/5005] Time 0.801 (0.223) Data 0.716 (0.065) Loss 2.3218 (2.4431) Prec@1 44.922 (44.890) Prec@5 72.656 (70.438)
Epoch: [39][1580/5005] Time 0.201 (0.222) Data 0.045 (0.065) Loss 2.3280 (2.4432) Prec@1 47.266 (44.888) Prec@5 73.047 (70.437)
Epoch: [39][1590/5005] Time 0.203 (0.222) Data 0.039 (0.065) Loss 2.3869 (2.4432) Prec@1 45.312 (44.886) Prec@5 71.094 (70.436)
Epoch: [39][1600/5005] Time 0.207 (0.222) Data 0.040 (0.065) Loss 2.4308 (2.4431) Prec@1 44.531 (44.887) Prec@5 68.750 (70.439)
Epoch: [39][1610/5005] Time 0.199 (0.222) Data 0.046 (0.065) Loss 2.5311 (2.4430) Prec@1 45.312 (44.889) Prec@5 71.094 (70.441)
Epoch: [39][1620/5005] Time 0.210 (0.222) Data 0.047 (0.065) Loss 2.5760 (2.4425) Prec@1 42.969 (44.891) Prec@5 69.141 (70.451)
Epoch: [39][1630/5005] Time 0.200 (0.222) Data 0.050 (0.065) Loss 2.3090 (2.4425) Prec@1 44.922 (44.891) Prec@5 75.000 (70.452)
Epoch: [39][1640/5005] Time 0.208 (0.222) Data 0.052 (0.065) Loss 2.4810 (2.4427) Prec@1 42.188 (44.892) Prec@5 68.359 (70.446)
Epoch: [39][1650/5005] Time 0.212 (0.222) Data 0.055 (0.065) Loss 2.5664 (2.4428) Prec@1 44.922 (44.888) Prec@5 67.188 (70.442)
Epoch: [39][1660/5005] Time 0.206 (0.222) Data 0.039 (0.065) Loss 2.3501 (2.4421) Prec@1 47.656 (44.906) Prec@5 71.875 (70.458)
Epoch: [39][1670/5005] Time 0.209 (0.223) Data 0.041 (0.066) Loss 2.1724 (2.4419) Prec@1 50.781 (44.907) Prec@5 73.828 (70.460)
Epoch: [39][1680/5005] Time 0.189 (0.222) Data 0.041 (0.066) Loss 2.5974 (2.4424) Prec@1 47.656 (44.902) Prec@5 68.750 (70.451)
Epoch: [39][1690/5005] Time 0.204 (0.222) Data 0.041 (0.065) Loss 2.3424 (2.4422) Prec@1 47.656 (44.906) Prec@5 71.875 (70.458)
Epoch: [39][1700/5005] Time 0.202 (0.223) Data 0.046 (0.065) Loss 2.4107 (2.4417) Prec@1 44.141 (44.912) Prec@5 71.484 (70.463)
Epoch: [39][1710/5005] Time 0.205 (0.223) Data 0.044 (0.065) Loss 2.3690 (2.4413) Prec@1 46.484 (44.913) Prec@5 72.656 (70.474)
Epoch: [39][1720/5005] Time 0.208 (0.222) Data 0.040 (0.065) Loss 2.4336 (2.4412) Prec@1 45.703 (44.917) Prec@5 72.266 (70.472)
Epoch: [39][1730/5005] Time 0.202 (0.222) Data 0.045 (0.065) Loss 2.4268 (2.4411) Prec@1 43.359 (44.912) Prec@5 69.531 (70.474)
Epoch: [39][1740/5005] Time 0.201 (0.222) Data 0.056 (0.065) Loss 2.6136 (2.4407) Prec@1 39.844 (44.918) Prec@5 66.016 (70.479)
Epoch: [39][1750/5005] Time 0.208 (0.223) Data 0.053 (0.065) Loss 2.3820 (2.4403) Prec@1 41.797 (44.914) Prec@5 69.531 (70.485)
Epoch: [39][1760/5005] Time 0.204 (0.223) Data 0.042 (0.065) Loss 2.1671 (2.4401) Prec@1 49.609 (44.920) Prec@5 77.734 (70.492)
Epoch: [39][1770/5005] Time 0.203 (0.223) Data 0.040 (0.066) Loss 2.3833 (2.4398) Prec@1 42.188 (44.918) Prec@5 72.656 (70.496)
Epoch: [39][1780/5005] Time 0.209 (0.223) Data 0.042 (0.065) Loss 2.3115 (2.4398) Prec@1 44.922 (44.917) Prec@5 72.656 (70.497)
Epoch: [39][1790/5005] Time 0.210 (0.222) Data 0.065 (0.065) Loss 2.3021 (2.4395) Prec@1 44.922 (44.917) Prec@5 71.875 (70.499)
Epoch: [39][1800/5005] Time 0.216 (0.222) Data 0.047 (0.065) Loss 2.3942 (2.4394) Prec@1 47.656 (44.924) Prec@5 73.438 (70.504)
Epoch: [39][1810/5005] Time 0.201 (0.223) Data 0.045 (0.066) Loss 2.2018 (2.4390) Prec@1 47.656 (44.926) Prec@5 73.047 (70.511)
Epoch: [39][1820/5005] Time 0.218 (0.222) Data 0.044 (0.066) Loss 2.5570 (2.4391) Prec@1 42.578 (44.924) Prec@5 68.359 (70.507)
Epoch: [39][1830/5005] Time 0.212 (0.222) Data 0.044 (0.065) Loss 2.1800 (2.4387) Prec@1 48.438 (44.929) Prec@5 76.562 (70.515)
Epoch: [39][1840/5005] Time 0.296 (0.222) Data 0.216 (0.066) Loss 2.5303 (2.4385) Prec@1 37.109 (44.925) Prec@5 70.312 (70.520)
Epoch: [39][1850/5005] Time 0.209 (0.222) Data 0.040 (0.065) Loss 2.3833 (2.4383) Prec@1 47.656 (44.930) Prec@5 71.484 (70.525)
Epoch: [39][1860/5005] Time 0.208 (0.222) Data 0.040 (0.065) Loss 2.4348 (2.4382) Prec@1 46.484 (44.933) Prec@5 70.312 (70.530)
Epoch: [39][1870/5005] Time 0.196 (0.222) Data 0.054 (0.066) Loss 2.5421 (2.4384) Prec@1 41.797 (44.933) Prec@5 68.750 (70.527)
Epoch: [39][1880/5005] Time 0.198 (0.222) Data 0.044 (0.066) Loss 2.4209 (2.4386) Prec@1 48.047 (44.934) Prec@5 71.094 (70.524)
Epoch: [39][1890/5005] Time 0.194 (0.222) Data 0.051 (0.066) Loss 2.5342 (2.4386) Prec@1 44.531 (44.935) Prec@5 68.359 (70.528)
Epoch: [39][1900/5005] Time 0.197 (0.222) Data 0.052 (0.066) Loss 2.3980 (2.4389) Prec@1 42.969 (44.929) Prec@5 71.484 (70.522)
Epoch: [39][1910/5005] Time 0.192 (0.222) Data 0.048 (0.066) Loss 2.4060 (2.4389) Prec@1 44.922 (44.928) Prec@5 71.094 (70.521)
Epoch: [39][1920/5005] Time 0.199 (0.222) Data 0.045 (0.066) Loss 2.2436 (2.4388) Prec@1 47.266 (44.919) Prec@5 73.828 (70.529)
Epoch: [39][1930/5005] Time 0.197 (0.222) Data 0.048 (0.066) Loss 2.3924 (2.4386) Prec@1 47.266 (44.925) Prec@5 68.359 (70.532)
Epoch: [39][1940/5005] Time 0.207 (0.223) Data 0.044 (0.066) Loss 2.2707 (2.4383) Prec@1 50.781 (44.930) Prec@5 74.219 (70.540)
Epoch: [39][1950/5005] Time 0.205 (0.222) Data 0.042 (0.066) Loss 2.5199 (2.4381) Prec@1 46.484 (44.936) Prec@5 71.484 (70.541)
Epoch: [39][1960/5005] Time 0.194 (0.222) Data 0.059 (0.066) Loss 2.2997 (2.4377) Prec@1 46.484 (44.940) Prec@5 73.047 (70.551)
Epoch: [39][1970/5005] Time 0.199 (0.223) Data 0.042 (0.066) Loss 2.3691 (2.4378) Prec@1 45.703 (44.935) Prec@5 70.703 (70.550)
Epoch: [39][1980/5005] Time 0.211 (0.223) Data 0.048 (0.066) Loss 2.1892 (2.4377) Prec@1 51.562 (44.940) Prec@5 71.875 (70.549)
Epoch: [39][1990/5005] Time 0.215 (0.222) Data 0.042 (0.066) Loss 2.2453 (2.4375) Prec@1 46.875 (44.936) Prec@5 75.000 (70.554)
Epoch: [39][2000/5005] Time 0.202 (0.223) Data 0.048 (0.067) Loss 2.2354 (2.4377) Prec@1 50.000 (44.933) Prec@5 73.047 (70.551)
Epoch: [39][2010/5005] Time 0.205 (0.222) Data 0.043 (0.067) Loss 2.3217 (2.4378) Prec@1 48.438 (44.933) Prec@5 70.703 (70.549)
Epoch: [39][2020/5005] Time 0.193 (0.223) Data 0.090 (0.067) Loss 2.3728 (2.4378) Prec@1 43.750 (44.936) Prec@5 73.438 (70.549)
Epoch: [39][2030/5005] Time 0.387 (0.223) Data 0.301 (0.067) Loss 2.4667 (2.4380) Prec@1 43.750 (44.934) Prec@5 70.703 (70.544)
Epoch: [39][2040/5005] Time 0.191 (0.223) Data 0.050 (0.067) Loss 2.2649 (2.4377) Prec@1 46.094 (44.936) Prec@5 74.219 (70.551)
Epoch: [39][2050/5005] Time 0.203 (0.223) Data 0.053 (0.067) Loss 2.4975 (2.4378) Prec@1 45.312 (44.937) Prec@5 69.922 (70.551)
Epoch: [39][2060/5005] Time 0.219 (0.223) Data 0.045 (0.067) Loss 2.4027 (2.4379) Prec@1 44.922 (44.935) Prec@5 69.531 (70.548)
Epoch: [39][2070/5005] Time 0.348 (0.223) Data 0.265 (0.067) Loss 2.5459 (2.4379) Prec@1 46.484 (44.939) Prec@5 67.578 (70.548)
Epoch: [39][2080/5005] Time 0.197 (0.223) Data 0.087 (0.067) Loss 2.5796 (2.4378) Prec@1 41.797 (44.940) Prec@5 71.484 (70.553)
Epoch: [39][2090/5005] Time 0.209 (0.223) Data 0.044 (0.067) Loss 2.3200 (2.4373) Prec@1 47.266 (44.947) Prec@5 73.047 (70.560)
Epoch: [39][2100/5005] Time 0.198 (0.223) Data 0.084 (0.067) Loss 2.5896 (2.4371) Prec@1 39.844 (44.951) Prec@5 68.750 (70.562)
Epoch: [39][2110/5005] Time 0.205 (0.223) Data 0.055 (0.068) Loss 2.2954 (2.4371) Prec@1 46.484 (44.954) Prec@5 73.828 (70.564)
Epoch: [39][2120/5005] Time 0.200 (0.223) Data 0.040 (0.068) Loss 2.5590 (2.4370) Prec@1 45.312 (44.960) Prec@5 67.969 (70.572)
Epoch: [39][2130/5005] Time 0.403 (0.223) Data 0.328 (0.068) Loss 2.4504 (2.4366) Prec@1 43.750 (44.967) Prec@5 68.750 (70.574)
Epoch: [39][2140/5005] Time 0.216 (0.223) Data 0.044 (0.068) Loss 2.2364 (2.4366) Prec@1 48.828 (44.967) Prec@5 71.484 (70.574)
Epoch: [39][2150/5005] Time 0.206 (0.223) Data 0.046 (0.068) Loss 2.2084 (2.4366) Prec@1 50.000 (44.972) Prec@5 72.656 (70.573)
Epoch: [39][2160/5005] Time 0.206 (0.223) Data 0.046 (0.068) Loss 2.3954 (2.4366) Prec@1 45.703 (44.969) Prec@5 72.656 (70.571)
Epoch: [39][2170/5005] Time 0.201 (0.223) Data 0.047 (0.068) Loss 2.2037 (2.4363) Prec@1 50.000 (44.975) Prec@5 77.734 (70.578)
Epoch: [39][2180/5005] Time 0.596 (0.223) Data 0.511 (0.068) Loss 2.3883 (2.4362) Prec@1 48.047 (44.976) Prec@5 72.266 (70.578)
Epoch: [39][2190/5005] Time 0.192 (0.223) Data 0.059 (0.068) Loss 2.7283 (2.4364) Prec@1 39.453 (44.975) Prec@5 62.109 (70.571)
Epoch: [39][2200/5005] Time 0.198 (0.223) Data 0.050 (0.068) Loss 2.4563 (2.4365) Prec@1 42.578 (44.975) Prec@5 68.750 (70.570)
Epoch: [39][2210/5005] Time 0.202 (0.223) Data 0.039 (0.068) Loss 2.6044 (2.4368) Prec@1 41.797 (44.967) Prec@5 65.625 (70.564)
Epoch: [39][2220/5005] Time 0.282 (0.223) Data 0.202 (0.068) Loss 2.4972 (2.4366) Prec@1 46.094 (44.969) Prec@5 69.141 (70.567)
Epoch: [39][2230/5005] Time 0.518 (0.223) Data 0.431 (0.068) Loss 2.5133 (2.4367) Prec@1 42.969 (44.967) Prec@5 69.922 (70.566)
Epoch: [39][2240/5005] Time 0.209 (0.223) Data 0.045 (0.068) Loss 2.4282 (2.4368) Prec@1 42.578 (44.964) Prec@5 72.266 (70.563)
Epoch: [39][2250/5005] Time 0.201 (0.223) Data 0.043 (0.068) Loss 2.1782 (2.4367) Prec@1 47.656 (44.966) Prec@5 77.344 (70.566)
Epoch: [39][2260/5005] Time 0.205 (0.223) Data 0.039 (0.068) Loss 2.4238 (2.4365) Prec@1 43.750 (44.969) Prec@5 67.578 (70.572)
Epoch: [39][2270/5005] Time 0.201 (0.223) Data 0.100 (0.068) Loss 2.5678 (2.4363) Prec@1 43.359 (44.968) Prec@5 67.969 (70.579)
Epoch: [39][2280/5005] Time 0.201 (0.223) Data 0.047 (0.068) Loss 2.5010 (2.4363) Prec@1 46.094 (44.967) Prec@5 71.094 (70.579)
Epoch: [39][2290/5005] Time 0.199 (0.223) Data 0.049 (0.069) Loss 2.3238 (2.4363) Prec@1 52.344 (44.970) Prec@5 74.219 (70.582)
Epoch: [39][2300/5005] Time 0.203 (0.223) Data 0.051 (0.069) Loss 2.4076 (2.4363) Prec@1 44.531 (44.969) Prec@5 68.359 (70.580)
Epoch: [39][2310/5005] Time 0.204 (0.223) Data 0.044 (0.069) Loss 2.3489 (2.4364) Prec@1 44.922 (44.968) Prec@5 67.578 (70.575)
Epoch: [39][2320/5005] Time 0.214 (0.223) Data 0.047 (0.069) Loss 2.5040 (2.4363) Prec@1 42.578 (44.971) Prec@5 68.359 (70.578)
Epoch: [39][2330/5005] Time 0.195 (0.223) Data 0.050 (0.069) Loss 2.4304 (2.4362) Prec@1 43.359 (44.977) Prec@5 71.094 (70.577)
Epoch: [39][2340/5005] Time 0.371 (0.223) Data 0.291 (0.069) Loss 2.2922 (2.4359) Prec@1 49.609 (44.982) Prec@5 74.609 (70.580)
Epoch: [39][2350/5005] Time 0.201 (0.223) Data 0.053 (0.069) Loss 2.3648 (2.4358) Prec@1 46.094 (44.984) Prec@5 71.484 (70.582)
Epoch: [39][2360/5005] Time 0.204 (0.223) Data 0.045 (0.069) Loss 2.3369 (2.4358) Prec@1 46.484 (44.981) Prec@5 71.484 (70.577)
Epoch: [39][2370/5005] Time 0.323 (0.223) Data 0.228 (0.069) Loss 2.4866 (2.4359) Prec@1 46.094 (44.980) Prec@5 68.359 (70.573)
Epoch: [39][2380/5005] Time 0.201 (0.223) Data 0.056 (0.069) Loss 2.4465 (2.4357) Prec@1 44.922 (44.980) Prec@5 68.750 (70.578)
Epoch: [39][2390/5005] Time 0.198 (0.223) Data 0.051 (0.069) Loss 2.4913 (2.4355) Prec@1 44.922 (44.982) Prec@5 68.750 (70.581)
Epoch: [39][2400/5005] Time 0.228 (0.223) Data 0.142 (0.070) Loss 2.4678 (2.4354) Prec@1 45.703 (44.980) Prec@5 69.531 (70.582)
Epoch: [39][2410/5005] Time 0.209 (0.223) Data 0.067 (0.070) Loss 2.5872 (2.4354) Prec@1 43.750 (44.982) Prec@5 67.578 (70.580)
Epoch: [39][2420/5005] Time 0.197 (0.223) Data 0.058 (0.070) Loss 2.3832 (2.4353) Prec@1 46.484 (44.991) Prec@5 72.656 (70.583)
Epoch: [39][2430/5005] Time 0.195 (0.223) Data 0.062 (0.070) Loss 2.2855 (2.4354) Prec@1 49.219 (44.990) Prec@5 71.875 (70.580)
Epoch: [39][2440/5005] Time 0.208 (0.223) Data 0.041 (0.070) Loss 2.1619 (2.4352) Prec@1 49.609 (44.995) Prec@5 77.734 (70.583)
Epoch: [39][2450/5005] Time 0.195 (0.223) Data 0.049 (0.070) Loss 2.3256 (2.4351) Prec@1 46.094 (44.998) Prec@5 73.438 (70.584)
Epoch: [39][2460/5005] Time 0.214 (0.223) Data 0.045 (0.070) Loss 2.5516 (2.4351) Prec@1 43.750 (45.001) Prec@5 66.016 (70.580)
Epoch: [39][2470/5005] Time 0.192 (0.223) Data 0.056 (0.070) Loss 2.2773 (2.4348) Prec@1 48.828 (45.008) Prec@5 69.922 (70.587)
Epoch: [39][2480/5005] Time 0.203 (0.223) Data 0.059 (0.070) Loss 2.5497 (2.4351) Prec@1 40.625 (45.001) Prec@5 71.484 (70.586)
Epoch: [39][2490/5005] Time 0.197 (0.223) Data 0.060 (0.070) Loss 2.2518 (2.4352) Prec@1 48.828 (45.000) Prec@5 73.438 (70.585)
Epoch: [39][2500/5005] Time 0.215 (0.223) Data 0.043 (0.070) Loss 2.4986 (2.4351) Prec@1 45.703 (45.005) Prec@5 67.969 (70.587)
Epoch: [39][2510/5005] Time 0.207 (0.223) Data 0.047 (0.070) Loss 2.4888 (2.4352) Prec@1 42.578 (45.003) Prec@5 69.531 (70.585)
Epoch: [39][2520/5005] Time 0.203 (0.223) Data 0.049 (0.070) Loss 2.4382 (2.4350) Prec@1 48.438 (45.006) Prec@5 68.750 (70.586)
Epoch: [39][2530/5005] Time 0.201 (0.223) Data 0.049 (0.070) Loss 2.5330 (2.4351) Prec@1 41.406 (45.009) Prec@5 68.750 (70.584)
Epoch: [39][2540/5005] Time 0.216 (0.223) Data 0.053 (0.070) Loss 2.3182 (2.4349) Prec@1 46.094 (45.015) Prec@5 71.484 (70.585)
Epoch: [39][2550/5005] Time 0.208 (0.223) Data 0.057 (0.070) Loss 2.4309 (2.4348) Prec@1 46.484 (45.019) Prec@5 71.484 (70.589)
Epoch: [39][2560/5005] Time 0.202 (0.223) Data 0.045 (0.070) Loss 2.6332 (2.4348) Prec@1 39.062 (45.021) Prec@5 68.750 (70.588)
Epoch: [39][2570/5005] Time 0.201 (0.223) Data 0.043 (0.070) Loss 2.3868 (2.4347) Prec@1 44.922 (45.024) Prec@5 71.875 (70.587)
Epoch: [39][2580/5005] Time 0.242 (0.223) Data 0.156 (0.070) Loss 2.5850 (2.4350) Prec@1 42.188 (45.021) Prec@5 68.359 (70.581)
Epoch: [39][2590/5005] Time 0.207 (0.223) Data 0.062 (0.070) Loss 2.5357 (2.4347) Prec@1 41.406 (45.027) Prec@5 71.094 (70.585)
Epoch: [39][2600/5005] Time 0.204 (0.223) Data 0.055 (0.071) Loss 2.6947 (2.4350) Prec@1 42.188 (45.022) Prec@5 69.922 (70.579)
Epoch: [39][2610/5005] Time 0.208 (0.223) Data 0.049 (0.071) Loss 2.6415 (2.4348) Prec@1 41.406 (45.028) Prec@5 64.844 (70.581)
Epoch: [39][2620/5005] Time 0.345 (0.223) Data 0.261 (0.071) Loss 2.3749 (2.4347) Prec@1 45.703 (45.031) Prec@5 71.875 (70.582)
Epoch: [39][2630/5005] Time 0.205 (0.223) Data 0.050 (0.071) Loss 2.4954 (2.4351) Prec@1 44.531 (45.027) Prec@5 72.266 (70.574)
Epoch: [39][2640/5005] Time 0.209 (0.223) Data 0.054 (0.071) Loss 2.7017 (2.4352) Prec@1 39.062 (45.028) Prec@5 66.406 (70.572)
Epoch: [39][2650/5005] Time 0.200 (0.223) Data 0.039 (0.071) Loss 2.6790 (2.4353) Prec@1 40.234 (45.029) Prec@5 66.016 (70.570)
Epoch: [39][2660/5005] Time 0.205 (0.223) Data 0.053 (0.071) Loss 2.3894 (2.4353) Prec@1 48.438 (45.032) Prec@5 72.266 (70.568)
Epoch: [39][2670/5005] Time 0.978 (0.223) Data 0.896 (0.071) Loss 2.1590 (2.4349) Prec@1 48.828 (45.039) Prec@5 74.219 (70.569)
Epoch: [39][2680/5005] Time 0.192 (0.224) Data 0.045 (0.071) Loss 2.2543 (2.4349) Prec@1 47.656 (45.037) Prec@5 75.391 (70.570)
Epoch: [39][2690/5005] Time 0.193 (0.224) Data 0.060 (0.071) Loss 2.2301 (2.4349) Prec@1 52.344 (45.038) Prec@5 71.094 (70.567)
Epoch: [39][2700/5005] Time 0.210 (0.223) Data 0.045 (0.071) Loss 2.4171 (2.4350) Prec@1 44.141 (45.030) Prec@5 67.969 (70.566)
Epoch: [39][2710/5005] Time 0.204 (0.223) Data 0.040 (0.071) Loss 2.2453 (2.4351) Prec@1 48.438 (45.026) Prec@5 73.438 (70.563)
Epoch: [39][2720/5005] Time 0.203 (0.223) Data 0.049 (0.071) Loss 2.3532 (2.4351) Prec@1 48.438 (45.026) Prec@5 72.266 (70.565)
Epoch: [39][2730/5005] Time 0.205 (0.223) Data 0.049 (0.071) Loss 2.4742 (2.4349) Prec@1 43.750 (45.028) Prec@5 67.969 (70.569)
Epoch: [39][2740/5005] Time 0.213 (0.223) Data 0.044 (0.071) Loss 2.3595 (2.4347) Prec@1 45.312 (45.032) Prec@5 71.484 (70.571)
Epoch: [39][2750/5005] Time 0.191 (0.223) Data 0.047 (0.071) Loss 2.3610 (2.4345) Prec@1 44.531 (45.037) Prec@5 73.438 (70.575)
Epoch: [39][2760/5005] Time 0.200 (0.223) Data 0.054 (0.071) Loss 2.4597 (2.4344) Prec@1 44.141 (45.039) Prec@5 69.531 (70.576)
Epoch: [39][2770/5005] Time 0.205 (0.223) Data 0.054 (0.071) Loss 2.4259 (2.4344) Prec@1 44.531 (45.038) Prec@5 70.703 (70.578)
Epoch: [39][2780/5005] Time 0.207 (0.223) Data 0.046 (0.071) Loss 2.6262 (2.4344) Prec@1 42.188 (45.043) Prec@5 69.141 (70.576)
Epoch: [39][2790/5005] Time 0.196 (0.223) Data 0.049 (0.071) Loss 2.8296 (2.4346) Prec@1 33.594 (45.041) Prec@5 65.234 (70.574)
Epoch: [39][2800/5005] Time 0.204 (0.223) Data 0.043 (0.071) Loss 2.1584 (2.4344) Prec@1 50.000 (45.045) Prec@5 74.609 (70.578)
Epoch: [39][2810/5005] Time 0.199 (0.223) Data 0.062 (0.071) Loss 2.6990 (2.4345) Prec@1 39.062 (45.041) Prec@5 70.703 (70.577)
Epoch: [39][2820/5005] Time 0.210 (0.223) Data 0.127 (0.072) Loss 2.0915 (2.4345) Prec@1 48.828 (45.041) Prec@5 73.438 (70.576)
Epoch: [39][2830/5005] Time 0.201 (0.223) Data 0.043 (0.072) Loss 2.6279 (2.4346) Prec@1 38.672 (45.036) Prec@5 67.578 (70.574)
Epoch: [39][2840/5005] Time 0.211 (0.224) Data 0.045 (0.072) Loss 2.4579 (2.4347) Prec@1 46.094 (45.035) Prec@5 69.531 (70.573)
Epoch: [39][2850/5005] Time 0.200 (0.224) Data 0.052 (0.072) Loss 2.4172 (2.4346) Prec@1 47.656 (45.041) Prec@5 67.969 (70.571)
Epoch: [39][2860/5005] Time 0.198 (0.224) Data 0.045 (0.072) Loss 2.3207 (2.4347) Prec@1 44.141 (45.039) Prec@5 74.609 (70.572)
Epoch: [39][2870/5005] Time 0.201 (0.224) Data 0.040 (0.072) Loss 2.2968 (2.4343) Prec@1 48.047 (45.047) Prec@5 74.219 (70.578)
Epoch: [39][2880/5005] Time 0.215 (0.223) Data 0.042 (0.072) Loss 2.3008 (2.4342) Prec@1 44.922 (45.049) Prec@5 73.438 (70.580)
Epoch: [39][2890/5005] Time 0.212 (0.223) Data 0.048 (0.072) Loss 2.4657 (2.4341) Prec@1 41.797 (45.053) Prec@5 69.922 (70.583)
Epoch: [39][2900/5005] Time 0.204 (0.223) Data 0.046 (0.072) Loss 2.2462 (2.4338) Prec@1 47.266 (45.054) Prec@5 73.438 (70.589)
Epoch: [39][2910/5005] Time 0.201 (0.223) Data 0.119 (0.072) Loss 2.2852 (2.4338) Prec@1 47.266 (45.054) Prec@5 73.047 (70.589)
Epoch: [39][2920/5005] Time 0.209 (0.223) Data 0.056 (0.072) Loss 2.5866 (2.4340) Prec@1 45.312 (45.053) Prec@5 68.359 (70.585)
Epoch: [39][2930/5005] Time 0.213 (0.223) Data 0.047 (0.072) Loss 2.4958 (2.4341) Prec@1 42.188 (45.054) Prec@5 73.047 (70.585)
Epoch: [39][2940/5005] Time 0.205 (0.224) Data 0.047 (0.072) Loss 2.4930 (2.4338) Prec@1 42.969 (45.056) Prec@5 67.578 (70.589)
Epoch: [39][2950/5005] Time 0.286 (0.223) Data 0.207 (0.072) Loss 2.6602 (2.4336) Prec@1 40.625 (45.056) Prec@5 66.797 (70.593)
Epoch: [39][2960/5005] Time 0.203 (0.224) Data 0.046 (0.072) Loss 2.4104 (2.4335) Prec@1 43.359 (45.061) Prec@5 72.266 (70.596)
Epoch: [39][2970/5005] Time 0.255 (0.223) Data 0.165 (0.072) Loss 2.5689 (2.4333) Prec@1 41.016 (45.058) Prec@5 66.016 (70.598)
Epoch: [39][2980/5005] Time 0.474 (0.224) Data 0.392 (0.072) Loss 2.4943 (2.4334) Prec@1 43.359 (45.059) Prec@5 69.531 (70.598)
Epoch: [39][2990/5005] Time 0.211 (0.224) Data 0.041 (0.072) Loss 2.3997 (2.4335) Prec@1 45.703 (45.059) Prec@5 72.266 (70.598)
Epoch: [39][3000/5005] Time 0.199 (0.224) Data 0.050 (0.072) Loss 2.3536 (2.4333) Prec@1 43.750 (45.062) Prec@5 72.266 (70.603)
Epoch: [39][3010/5005] Time 0.203 (0.224) Data 0.052 (0.072) Loss 2.2879 (2.4333) Prec@1 48.438 (45.061) Prec@5 71.484 (70.602)
Epoch: [39][3020/5005] Time 0.197 (0.224) Data 0.046 (0.072) Loss 2.3176 (2.4335) Prec@1 50.000 (45.059) Prec@5 67.969 (70.598)
Epoch: [39][3030/5005] Time 0.199 (0.224) Data 0.059 (0.072) Loss 2.4296 (2.4336) Prec@1 46.875 (45.056) Prec@5 74.219 (70.597)
Epoch: [39][3040/5005] Time 0.205 (0.224) Data 0.044 (0.072) Loss 2.2826 (2.4334) Prec@1 50.000 (45.062) Prec@5 72.266 (70.599)
Epoch: [39][3050/5005] Time 0.199 (0.224) Data 0.048 (0.072) Loss 2.3959 (2.4334) Prec@1 41.016 (45.064) Prec@5 71.875 (70.598)
Epoch: [39][3060/5005] Time 0.206 (0.224) Data 0.051 (0.072) Loss 2.1889 (2.4332) Prec@1 48.438 (45.068) Prec@5 74.219 (70.600)
Epoch: [39][3070/5005] Time 0.204 (0.223) Data 0.045 (0.072) Loss 2.3651 (2.4333) Prec@1 46.875 (45.065) Prec@5 73.828 (70.599)
Epoch: [39][3080/5005] Time 0.375 (0.224) Data 0.287 (0.072) Loss 2.3112 (2.4333) Prec@1 46.094 (45.063) Prec@5 70.703 (70.598)
Epoch: [39][3090/5005] Time 0.199 (0.223) Data 0.043 (0.072) Loss 2.6595 (2.4335) Prec@1 41.406 (45.061) Prec@5 66.406 (70.597)
Epoch: [39][3100/5005] Time 0.376 (0.224) Data 0.286 (0.072) Loss 2.4342 (2.4336) Prec@1 45.703 (45.057) Prec@5 68.750 (70.591)
Epoch: [39][3110/5005] Time 0.206 (0.224) Data 0.077 (0.072) Loss 2.1581 (2.4332) Prec@1 50.391 (45.063) Prec@5 77.734 (70.599)
Epoch: [39][3120/5005] Time 0.202 (0.224) Data 0.044 (0.073) Loss 2.4101 (2.4332) Prec@1 46.094 (45.061) Prec@5 74.219 (70.598)
Epoch: [39][3130/5005] Time 0.204 (0.224) Data 0.044 (0.073) Loss 2.4476 (2.4331) Prec@1 41.797 (45.064) Prec@5 73.047 (70.602)
Epoch: [39][3140/5005] Time 0.515 (0.224) Data 0.434 (0.073) Loss 2.2405 (2.4329) Prec@1 49.219 (45.068) Prec@5 69.922 (70.604)
Epoch: [39][3150/5005] Time 0.202 (0.224) Data 0.044 (0.073) Loss 2.3856 (2.4328) Prec@1 44.531 (45.073) Prec@5 70.703 (70.606)
Epoch: [39][3160/5005] Time 0.209 (0.224) Data 0.046 (0.073) Loss 2.2885 (2.4327) Prec@1 48.438 (45.075) Prec@5 71.875 (70.604)
Epoch: [39][3170/5005] Time 0.206 (0.224) Data 0.046 (0.073) Loss 2.4484 (2.4328) Prec@1 44.531 (45.075) Prec@5 69.922 (70.603)
Epoch: [39][3180/5005] Time 0.199 (0.224) Data 0.097 (0.073) Loss 2.2505 (2.4329) Prec@1 48.047 (45.071) Prec@5 73.047 (70.601)
Epoch: [39][3190/5005] Time 0.332 (0.224) Data 0.251 (0.073) Loss 2.4895 (2.4330) Prec@1 43.750 (45.065) Prec@5 66.797 (70.600)
Epoch: [39][3200/5005] Time 0.403 (0.224) Data 0.324 (0.073) Loss 2.5157 (2.4328) Prec@1 42.969 (45.068) Prec@5 72.266 (70.603)
Epoch: [39][3210/5005] Time 0.203 (0.224) Data 0.047 (0.073) Loss 2.5476 (2.4328) Prec@1 44.922 (45.070) Prec@5 67.188 (70.603)
Epoch: [39][3220/5005] Time 0.203 (0.224) Data 0.063 (0.073) Loss 2.5603 (2.4328) Prec@1 45.703 (45.072) Prec@5 67.969 (70.605)
Epoch: [39][3230/5005] Time 0.212 (0.224) Data 0.043 (0.073) Loss 2.4274 (2.4326) Prec@1 42.188 (45.074) Prec@5 71.484 (70.610)
Epoch: [39][3240/5005] Time 0.196 (0.224) Data 0.045 (0.073) Loss 2.7216 (2.4330) Prec@1 39.453 (45.067) Prec@5 65.625 (70.605)
Epoch: [39][3250/5005] Time 0.205 (0.224) Data 0.057 (0.073) Loss 2.4135 (2.4331) Prec@1 45.312 (45.066) Prec@5 70.312 (70.601)
Epoch: [39][3260/5005] Time 0.197 (0.224) Data 0.086 (0.073) Loss 2.2904 (2.4330) Prec@1 48.438 (45.068) Prec@5 73.047 (70.604)
Epoch: [39][3270/5005] Time 0.202 (0.224) Data 0.044 (0.073) Loss 2.5133 (2.4329) Prec@1 46.484 (45.072) Prec@5 68.359 (70.605)
Epoch: [39][3280/5005] Time 0.203 (0.224) Data 0.043 (0.073) Loss 2.2696 (2.4330) Prec@1 50.000 (45.070) Prec@5 71.094 (70.603)
Epoch: [39][3290/5005] Time 0.194 (0.224) Data 0.103 (0.073) Loss 2.3279 (2.4328) Prec@1 46.484 (45.069) Prec@5 71.875 (70.605)
Epoch: [39][3300/5005] Time 0.192 (0.224) Data 0.054 (0.073) Loss 2.4182 (2.4327) Prec@1 41.016 (45.067) Prec@5 70.703 (70.607)
Epoch: [39][3310/5005] Time 0.206 (0.224) Data 0.041 (0.073) Loss 2.3000 (2.4327) Prec@1 46.875 (45.070) Prec@5 69.922 (70.605)
Epoch: [39][3320/5005] Time 0.198 (0.224) Data 0.046 (0.073) Loss 2.4120 (2.4327) Prec@1 48.047 (45.070) Prec@5 71.094 (70.606)
Epoch: [39][3330/5005] Time 0.268 (0.224) Data 0.187 (0.073) Loss 2.5293 (2.4328) Prec@1 44.922 (45.068) Prec@5 67.188 (70.601)
Epoch: [39][3340/5005] Time 0.209 (0.224) Data 0.041 (0.073) Loss 2.4291 (2.4329) Prec@1 43.750 (45.065) Prec@5 74.609 (70.600)
Epoch: [39][3350/5005] Time 0.204 (0.224) Data 0.045 (0.073) Loss 2.6123 (2.4329) Prec@1 41.406 (45.065) Prec@5 67.578 (70.602)
Epoch: [39][3360/5005] Time 0.418 (0.224) Data 0.335 (0.073) Loss 2.2605 (2.4329) Prec@1 48.047 (45.064) Prec@5 76.562 (70.602)
Epoch: [39][3370/5005] Time 0.207 (0.224) Data 0.124 (0.073) Loss 2.6130 (2.4330) Prec@1 39.453 (45.061) Prec@5 70.312 (70.600)
Epoch: [39][3380/5005] Time 0.211 (0.224) Data 0.046 (0.073) Loss 2.4914 (2.4330) Prec@1 47.656 (45.058) Prec@5 67.969 (70.597)
Epoch: [39][3390/5005] Time 0.199 (0.224) Data 0.110 (0.073) Loss 2.3324 (2.4332) Prec@1 46.875 (45.054) Prec@5 72.266 (70.592)
Epoch: [39][3400/5005] Time 0.200 (0.224) Data 0.087 (0.073) Loss 2.3112 (2.4332) Prec@1 46.094 (45.053) Prec@5 71.875 (70.592)
Epoch: [39][3410/5005] Time 0.191 (0.224) Data 0.046 (0.073) Loss 2.2628 (2.4329) Prec@1 51.562 (45.058) Prec@5 73.438 (70.597)
Epoch: [39][3420/5005] Time 0.199 (0.224) Data 0.117 (0.074) Loss 2.2759 (2.4328) Prec@1 50.391 (45.059) Prec@5 74.609 (70.600)
Epoch: [39][3430/5005] Time 0.203 (0.224) Data 0.046 (0.074) Loss 2.3849 (2.4327) Prec@1 45.703 (45.057) Prec@5 69.922 (70.599)
Epoch: [39][3440/5005] Time 0.213 (0.224) Data 0.045 (0.074) Loss 2.6102 (2.4327) Prec@1 44.531 (45.060) Prec@5 66.797 (70.599)
Epoch: [39][3450/5005] Time 0.199 (0.224) Data 0.082 (0.074) Loss 2.4197 (2.4325) Prec@1 45.703 (45.061) Prec@5 72.266 (70.602)
Epoch: [39][3460/5005] Time 0.211 (0.224) Data 0.047 (0.074) Loss 2.2473 (2.4325) Prec@1 47.656 (45.064) Prec@5 70.703 (70.600)
Epoch: [39][3470/5005] Time 0.196 (0.224) Data 0.044 (0.074) Loss 2.2976 (2.4323) Prec@1 46.094 (45.066) Prec@5 71.484 (70.605)
Epoch: [39][3480/5005] Time 0.211 (0.224) Data 0.049 (0.074) Loss 2.2867 (2.4319) Prec@1 44.531 (45.068) Prec@5 74.219 (70.611)
Epoch: [39][3490/5005] Time 0.204 (0.224) Data 0.056 (0.074) Loss 2.4929 (2.4320) Prec@1 40.234 (45.066) Prec@5 68.359 (70.607)
Epoch: [39][3500/5005] Time 0.198 (0.224) Data 0.056 (0.074) Loss 2.2320 (2.4321) Prec@1 49.219 (45.065) Prec@5 74.219 (70.608)
Epoch: [39][3510/5005] Time 0.210 (0.224) Data 0.049 (0.074) Loss 2.3152 (2.4320) Prec@1 48.438 (45.066) Prec@5 71.094 (70.610)
Epoch: [39][3520/5005] Time 0.201 (0.224) Data 0.052 (0.074) Loss 2.5628 (2.4319) Prec@1 46.094 (45.069) Prec@5 67.188 (70.610)
Epoch: [39][3530/5005] Time 0.205 (0.224) Data 0.048 (0.074) Loss 2.4352 (2.4318) Prec@1 47.656 (45.073) Prec@5 70.312 (70.612)
Epoch: [39][3540/5005] Time 0.200 (0.224) Data 0.045 (0.074) Loss 2.3378 (2.4316) Prec@1 46.094 (45.074) Prec@5 74.609 (70.617)
Epoch: [39][3550/5005] Time 0.200 (0.224) Data 0.085 (0.074) Loss 2.5239 (2.4315) Prec@1 45.703 (45.076) Prec@5 68.359 (70.618)
Epoch: [39][3560/5005] Time 0.191 (0.224) Data 0.052 (0.074) Loss 2.3812 (2.4314) Prec@1 42.578 (45.078) Prec@5 71.484 (70.619)
Epoch: [39][3570/5005] Time 0.199 (0.224) Data 0.048 (0.074) Loss 2.5317 (2.4315) Prec@1 43.750 (45.079) Prec@5 71.484 (70.615)
Epoch: [39][3580/5005] Time 0.200 (0.224) Data 0.046 (0.074) Loss 2.3374 (2.4315) Prec@1 46.484 (45.077) Prec@5 71.875 (70.615)
Epoch: [39][3590/5005] Time 0.205 (0.224) Data 0.050 (0.074) Loss 2.5038 (2.4313) Prec@1 43.359 (45.081) Prec@5 67.188 (70.618)
Epoch: [39][3600/5005] Time 0.215 (0.224) Data 0.055 (0.074) Loss 2.4446 (2.4310) Prec@1 45.312 (45.085) Prec@5 67.578 (70.619)
Epoch: [39][3610/5005] Time 0.202 (0.224) Data 0.040 (0.074) Loss 2.3768 (2.4310) Prec@1 48.438 (45.087) Prec@5 71.094 (70.620)
Epoch: [39][3620/5005] Time 0.436 (0.224) Data 0.356 (0.074) Loss 2.5321 (2.4308) Prec@1 42.188 (45.093) Prec@5 67.969 (70.624)
Epoch: [39][3630/5005] Time 0.205 (0.224) Data 0.044 (0.074) Loss 2.6444 (2.4307) Prec@1 43.750 (45.095) Prec@5 69.141 (70.627)
Epoch: [39][3640/5005] Time 0.205 (0.224) Data 0.042 (0.074) Loss 2.3590 (2.4307) Prec@1 42.188 (45.094) Prec@5 73.047 (70.626)
Epoch: [39][3650/5005] Time 0.198 (0.224) Data 0.058 (0.074) Loss 2.3278 (2.4308) Prec@1 46.484 (45.089) Prec@5 74.609 (70.627)
Epoch: [39][3660/5005] Time 0.375 (0.224) Data 0.282 (0.074) Loss 2.5989 (2.4306) Prec@1 38.672 (45.090) Prec@5 67.969 (70.630)
Epoch: [39][3670/5005] Time 0.421 (0.224) Data 0.339 (0.074) Loss 2.5932 (2.4308) Prec@1 38.672 (45.086) Prec@5 69.141 (70.629)
Epoch: [39][3680/5005] Time 0.199 (0.224) Data 0.041 (0.074) Loss 2.2835 (2.4309) Prec@1 48.438 (45.085) Prec@5 74.219 (70.629)
Epoch: [39][3690/5005] Time 0.204 (0.224) Data 0.047 (0.074) Loss 2.3360 (2.4309) Prec@1 48.828 (45.089) Prec@5 75.781 (70.630)
Epoch: [39][3700/5005] Time 0.204 (0.224) Data 0.039 (0.074) Loss 2.4423 (2.4309) Prec@1 46.875 (45.090) Prec@5 71.094 (70.631)
Epoch: [39][3710/5005] Time 0.198 (0.224) Data 0.045 (0.074) Loss 2.5179 (2.4310) Prec@1 42.969 (45.089) Prec@5 71.875 (70.630)
Epoch: [39][3720/5005] Time 0.201 (0.224) Data 0.051 (0.074) Loss 2.6410 (2.4309) Prec@1 45.703 (45.088) Prec@5 70.703 (70.634)
Epoch: [39][3730/5005] Time 0.202 (0.224) Data 0.049 (0.074) Loss 2.2461 (2.4308) Prec@1 48.047 (45.088) Prec@5 75.781 (70.639)
Epoch: [39][3740/5005] Time 0.385 (0.224) Data 0.303 (0.074) Loss 2.3474 (2.4305) Prec@1 45.703 (45.092) Prec@5 70.312 (70.642)
Epoch: [39][3750/5005] Time 0.205 (0.224) Data 0.051 (0.074) Loss 2.2362 (2.4305) Prec@1 49.219 (45.091) Prec@5 74.609 (70.641)
Epoch: [39][3760/5005] Time 0.199 (0.224) Data 0.045 (0.074) Loss 2.3935 (2.4305) Prec@1 47.266 (45.089) Prec@5 69.922 (70.641)
Epoch: [39][3770/5005] Time 0.202 (0.224) Data 0.051 (0.074) Loss 2.4911 (2.4303) Prec@1 44.531 (45.090) Prec@5 71.484 (70.644)
Epoch: [39][3780/5005] Time 0.212 (0.224) Data 0.047 (0.074) Loss 2.3258 (2.4302) Prec@1 44.922 (45.092) Prec@5 73.047 (70.646)
Epoch: [39][3790/5005] Time 0.205 (0.224) Data 0.045 (0.074) Loss 2.5380 (2.4303) Prec@1 45.312 (45.090) Prec@5 69.922 (70.644)
Epoch: [39][3800/5005] Time 0.198 (0.224) Data 0.085 (0.074) Loss 2.2835 (2.4304) Prec@1 48.438 (45.088) Prec@5 72.656 (70.641)
Epoch: [39][3810/5005] Time 0.544 (0.224) Data 0.452 (0.074) Loss 2.4054 (2.4306) Prec@1 46.484 (45.083) Prec@5 70.703 (70.636)
Epoch: [39][3820/5005] Time 0.198 (0.224) Data 0.069 (0.074) Loss 2.3410 (2.4303) Prec@1 46.484 (45.088) Prec@5 74.219 (70.640)
Epoch: [39][3830/5005] Time 0.197 (0.224) Data 0.049 (0.074) Loss 2.4391 (2.4302) Prec@1 40.234 (45.090) Prec@5 67.969 (70.643)
Epoch: [39][3840/5005] Time 0.203 (0.224) Data 0.047 (0.074) Loss 2.6870 (2.4303) Prec@1 39.062 (45.088) Prec@5 64.844 (70.640)
Epoch: [39][3850/5005] Time 0.212 (0.224) Data 0.049 (0.074) Loss 2.4410 (2.4303) Prec@1 45.312 (45.085) Prec@5 71.094 (70.640)
Epoch: [39][3860/5005] Time 0.203 (0.224) Data 0.046 (0.074) Loss 2.1690 (2.4302) Prec@1 51.562 (45.087) Prec@5 75.781 (70.640)
Epoch: [39][3870/5005] Time 0.197 (0.224) Data 0.039 (0.074) Loss 2.4754 (2.4302) Prec@1 43.359 (45.085) Prec@5 69.141 (70.638)
Epoch: [39][3880/5005] Time 0.345 (0.224) Data 0.264 (0.074) Loss 2.3858 (2.4302) Prec@1 47.656 (45.085) Prec@5 70.312 (70.639)
Epoch: [39][3890/5005] Time 0.206 (0.224) Data 0.053 (0.074) Loss 2.7374 (2.4302) Prec@1 36.328 (45.084) Prec@5 67.188 (70.638)
Epoch: [39][3900/5005] Time 0.199 (0.224) Data 0.044 (0.074) Loss 2.6847 (2.4302) Prec@1 40.625 (45.083) Prec@5 66.016 (70.640)
Epoch: [39][3910/5005] Time 0.209 (0.224) Data 0.047 (0.074) Loss 2.4223 (2.4303) Prec@1 42.969 (45.083) Prec@5 72.266 (70.641)
Epoch: [39][3920/5005] Time 0.194 (0.224) Data 0.045 (0.074) Loss 2.5023 (2.4302) Prec@1 48.047 (45.086) Prec@5 66.406 (70.640)
Epoch: [39][3930/5005] Time 0.211 (0.224) Data 0.043 (0.074) Loss 2.3573 (2.4300) Prec@1 44.531 (45.089) Prec@5 72.656 (70.642)
Epoch: [39][3940/5005] Time 0.201 (0.224) Data 0.053 (0.074) Loss 2.4310 (2.4300) Prec@1 46.094 (45.088) Prec@5 68.750 (70.641)
Epoch: [39][3950/5005] Time 0.203 (0.224) Data 0.046 (0.074) Loss 2.2487 (2.4298) Prec@1 49.219 (45.090) Prec@5 72.656 (70.645)
Epoch: [39][3960/5005] Time 0.197 (0.224) Data 0.048 (0.074) Loss 2.2814 (2.4298) Prec@1 47.656 (45.089) Prec@5 72.266 (70.645)
Epoch: [39][3970/5005] Time 0.286 (0.224) Data 0.202 (0.074) Loss 2.3638 (2.4298) Prec@1 47.266 (45.089) Prec@5 70.703 (70.643)
Epoch: [39][3980/5005] Time 0.215 (0.224) Data 0.046 (0.074) Loss 2.2482 (2.4297) Prec@1 47.656 (45.091) Prec@5 73.828 (70.646)
Epoch: [39][3990/5005] Time 0.207 (0.224) Data 0.044 (0.074) Loss 2.5386 (2.4297) Prec@1 43.750 (45.088) Prec@5 70.312 (70.646)
Epoch: [39][4000/5005] Time 0.207 (0.224) Data 0.045 (0.074) Loss 2.4497 (2.4297) Prec@1 44.531 (45.088) Prec@5 67.969 (70.647)
Epoch: [39][4010/5005] Time 0.215 (0.224) Data 0.043 (0.074) Loss 2.4512 (2.4295) Prec@1 46.484 (45.095) Prec@5 72.266 (70.651)
Epoch: [39][4020/5005] Time 0.318 (0.224) Data 0.226 (0.074) Loss 2.6556 (2.4295) Prec@1 40.625 (45.093) Prec@5 66.406 (70.651)
Epoch: [39][4030/5005] Time 0.258 (0.224) Data 0.164 (0.074) Loss 2.6485 (2.4298) Prec@1 43.750 (45.092) Prec@5 69.531 (70.646)
Epoch: [39][4040/5005] Time 0.207 (0.224) Data 0.046 (0.074) Loss 2.4878 (2.4299) Prec@1 42.969 (45.088) Prec@5 67.188 (70.647)
Epoch: [39][4050/5005] Time 0.195 (0.224) Data 0.054 (0.074) Loss 2.6583 (2.4297) Prec@1 40.234 (45.090) Prec@5 64.453 (70.648)
Epoch: [39][4060/5005] Time 0.514 (0.224) Data 0.428 (0.075) Loss 2.4630 (2.4297) Prec@1 38.672 (45.088) Prec@5 68.359 (70.648)
Epoch: [39][4070/5005] Time 0.285 (0.224) Data 0.204 (0.075) Loss 2.5389 (2.4297) Prec@1 42.969 (45.087) Prec@5 73.438 (70.650)
Epoch: [39][4080/5005] Time 0.212 (0.224) Data 0.045 (0.075) Loss 2.2913 (2.4297) Prec@1 44.922 (45.086) Prec@5 73.438 (70.651)
Epoch: [39][4090/5005] Time 0.198 (0.224) Data 0.051 (0.075) Loss 2.5454 (2.4296) Prec@1 44.531 (45.088) Prec@5 69.922 (70.653)
Epoch: [39][4100/5005] Time 0.195 (0.224) Data 0.043 (0.075) Loss 2.3751 (2.4296) Prec@1 46.875 (45.089) Prec@5 68.750 (70.654)
Epoch: [39][4110/5005] Time 0.200 (0.224) Data 0.054 (0.075) Loss 2.5595 (2.4295) Prec@1 43.750 (45.090) Prec@5 70.312 (70.658)
Epoch: [39][4120/5005] Time 0.261 (0.224) Data 0.177 (0.075) Loss 2.5147 (2.4293) Prec@1 41.797 (45.092) Prec@5 69.922 (70.660)
Epoch: [39][4130/5005] Time 0.204 (0.224) Data 0.053 (0.075) Loss 2.5472 (2.4294) Prec@1 42.188 (45.091) Prec@5 67.188 (70.660)
Epoch: [39][4140/5005] Time 0.199 (0.224) Data 0.046 (0.075) Loss 2.6045 (2.4293) Prec@1 43.359 (45.093) Prec@5 64.844 (70.659)
Epoch: [39][4150/5005] Time 0.201 (0.224) Data 0.043 (0.075) Loss 2.6245 (2.4294) Prec@1 42.188 (45.092) Prec@5 64.844 (70.659)
Epoch: [39][4160/5005] Time 0.201 (0.224) Data 0.048 (0.075) Loss 2.3217 (2.4295) Prec@1 48.828 (45.091) Prec@5 74.609 (70.656)
Epoch: [39][4170/5005] Time 0.209 (0.224) Data 0.050 (0.075) Loss 2.3691 (2.4293) Prec@1 41.797 (45.097) Prec@5 74.219 (70.658)
Epoch: [39][4180/5005] Time 0.195 (0.224) Data 0.102 (0.075) Loss 2.3744 (2.4293) Prec@1 47.266 (45.097) Prec@5 69.922 (70.659)
Epoch: [39][4190/5005] Time 0.203 (0.224) Data 0.046 (0.075) Loss 2.2647 (2.4292) Prec@1 50.000 (45.100) Prec@5 73.828 (70.659)
Epoch: [39][4200/5005] Time 0.207 (0.224) Data 0.042 (0.075) Loss 2.2231 (2.4291) Prec@1 48.828 (45.105) Prec@5 70.703 (70.660)
Epoch: [39][4210/5005] Time 0.201 (0.224) Data 0.043 (0.075) Loss 2.2983 (2.4291) Prec@1 48.047 (45.105) Prec@5 70.312 (70.660)
Epoch: [39][4220/5005] Time 0.196 (0.224) Data 0.086 (0.075) Loss 2.5334 (2.4293) Prec@1 45.312 (45.104) Prec@5 69.141 (70.658)
Epoch: [39][4230/5005] Time 0.204 (0.224) Data 0.054 (0.075) Loss 2.4653 (2.4293) Prec@1 44.922 (45.104) Prec@5 67.578 (70.654)
Epoch: [39][4240/5005] Time 0.206 (0.224) Data 0.050 (0.075) Loss 2.4040 (2.4294) Prec@1 45.703 (45.102) Prec@5 71.875 (70.653)
Epoch: [39][4250/5005] Time 0.200 (0.224) Data 0.050 (0.075) Loss 2.2703 (2.4292) Prec@1 45.703 (45.103) Prec@5 76.172 (70.656)
Epoch: [39][4260/5005] Time 0.198 (0.224) Data 0.065 (0.075) Loss 2.3139 (2.4292) Prec@1 45.312 (45.100) Prec@5 72.266 (70.654)
Epoch: [39][4270/5005] Time 0.203 (0.224) Data 0.083 (0.075) Loss 2.5946 (2.4293) Prec@1 42.578 (45.099) Prec@5 69.141 (70.654)
Epoch: [39][4280/5005] Time 0.219 (0.224) Data 0.135 (0.075) Loss 2.5124 (2.4293) Prec@1 43.750 (45.100) Prec@5 68.750 (70.652)
Epoch: [39][4290/5005] Time 0.195 (0.224) Data 0.051 (0.075) Loss 2.5491 (2.4293) Prec@1 43.750 (45.099) Prec@5 69.141 (70.652)
Epoch: [39][4300/5005] Time 0.213 (0.224) Data 0.132 (0.075) Loss 2.1852 (2.4291) Prec@1 48.047 (45.101) Prec@5 76.953 (70.655)
Epoch: [39][4310/5005] Time 0.197 (0.224) Data 0.043 (0.076) Loss 2.3319 (2.4291) Prec@1 44.141 (45.103) Prec@5 71.484 (70.654)
Epoch: [39][4320/5005] Time 0.201 (0.224) Data 0.043 (0.075) Loss 2.5473 (2.4291) Prec@1 40.625 (45.102) Prec@5 66.016 (70.652)
Epoch: [39][4330/5005] Time 0.546 (0.224) Data 0.462 (0.076) Loss 2.2980 (2.4290) Prec@1 44.531 (45.102) Prec@5 74.609 (70.655)
Epoch: [39][4340/5005] Time 0.195 (0.224) Data 0.043 (0.076) Loss 2.4733 (2.4292) Prec@1 44.531 (45.101) Prec@5 70.703 (70.651)
Epoch: [39][4350/5005] Time 0.192 (0.224) Data 0.107 (0.076) Loss 2.4597 (2.4290) Prec@1 44.531 (45.102) Prec@5 69.922 (70.656)
Epoch: [39][4360/5005] Time 0.205 (0.224) Data 0.043 (0.076) Loss 2.2384 (2.4289) Prec@1 44.141 (45.104) Prec@5 73.828 (70.659)
Epoch: [39][4370/5005] Time 0.201 (0.225) Data 0.051 (0.076) Loss 2.3708 (2.4288) Prec@1 44.922 (45.108) Prec@5 71.094 (70.660)
Epoch: [39][4380/5005] Time 0.194 (0.224) Data 0.040 (0.076) Loss 2.5167 (2.4288) Prec@1 44.922 (45.108) Prec@5 65.625 (70.659)
Epoch: [39][4390/5005] Time 0.212 (0.224) Data 0.045 (0.076) Loss 2.5191 (2.4287) Prec@1 42.969 (45.111) Prec@5 68.750 (70.662)
Epoch: [39][4400/5005] Time 0.200 (0.224) Data 0.056 (0.076) Loss 2.3566 (2.4286) Prec@1 44.141 (45.110) Prec@5 71.094 (70.661)
Epoch: [39][4410/5005] Time 0.206 (0.224) Data 0.061 (0.076) Loss 2.3504 (2.4285) Prec@1 45.312 (45.112) Prec@5 73.047 (70.665)
Epoch: [39][4420/5005] Time 0.206 (0.224) Data 0.044 (0.076) Loss 2.1813 (2.4284) Prec@1 50.000 (45.112) Prec@5 73.438 (70.665)
Epoch: [39][4430/5005] Time 0.200 (0.224) Data 0.048 (0.076) Loss 2.5147 (2.4282) Prec@1 42.969 (45.116) Prec@5 65.234 (70.668)
Epoch: [39][4440/5005] Time 0.199 (0.224) Data 0.040 (0.076) Loss 2.5684 (2.4282) Prec@1 43.750 (45.116) Prec@5 66.797 (70.669)
Epoch: [39][4450/5005] Time 0.201 (0.224) Data 0.045 (0.076) Loss 2.3151 (2.4282) Prec@1 48.047 (45.117) Prec@5 72.656 (70.669)
Epoch: [39][4460/5005] Time 0.197 (0.224) Data 0.042 (0.076) Loss 2.5604 (2.4281) Prec@1 44.531 (45.118) Prec@5 69.531 (70.669)
Epoch: [39][4470/5005] Time 0.207 (0.224) Data 0.039 (0.076) Loss 2.3457 (2.4282) Prec@1 46.875 (45.118) Prec@5 71.094 (70.667)
Epoch: [39][4480/5005] Time 0.277 (0.224) Data 0.196 (0.076) Loss 2.3446 (2.4284) Prec@1 45.703 (45.115) Prec@5 71.484 (70.664)
Epoch: [39][4490/5005] Time 0.209 (0.224) Data 0.046 (0.076) Loss 2.4216 (2.4284) Prec@1 44.922 (45.113) Prec@5 73.438 (70.662)
Epoch: [39][4500/5005] Time 0.201 (0.224) Data 0.045 (0.076) Loss 2.3987 (2.4285) Prec@1 46.484 (45.114) Prec@5 72.656 (70.661)
Epoch: [39][4510/5005] Time 0.204 (0.224) Data 0.043 (0.076) Loss 2.2687 (2.4285) Prec@1 48.438 (45.114) Prec@5 75.781 (70.660)
Epoch: [39][4520/5005] Time 0.197 (0.224) Data 0.040 (0.076) Loss 2.3633 (2.4283) Prec@1 46.484 (45.117) Prec@5 71.484 (70.661)
Epoch: [39][4530/5005] Time 0.201 (0.224) Data 0.046 (0.076) Loss 2.3968 (2.4283) Prec@1 46.875 (45.120) Prec@5 70.312 (70.663)
Epoch: [39][4540/5005] Time 0.196 (0.224) Data 0.049 (0.076) Loss 2.6274 (2.4285) Prec@1 43.750 (45.117) Prec@5 71.094 (70.663)
Epoch: [39][4550/5005] Time 0.202 (0.224) Data 0.039 (0.076) Loss 2.4279 (2.4283) Prec@1 44.141 (45.119) Prec@5 69.141 (70.664)
Epoch: [39][4560/5005] Time 0.197 (0.224) Data 0.048 (0.076) Loss 2.4205 (2.4283) Prec@1 44.531 (45.122) Prec@5 69.531 (70.664)
Epoch: [39][4570/5005] Time 0.198 (0.224) Data 0.064 (0.076) Loss 2.3932 (2.4281) Prec@1 49.219 (45.125) Prec@5 69.922 (70.667)
Epoch: [39][4580/5005] Time 0.211 (0.224) Data 0.049 (0.076) Loss 2.4310 (2.4281) Prec@1 43.359 (45.125) Prec@5 69.531 (70.667)
Epoch: [39][4590/5005] Time 0.199 (0.224) Data 0.048 (0.076) Loss 2.2498 (2.4280) Prec@1 45.703 (45.128) Prec@5 75.391 (70.669)
Epoch: [39][4600/5005] Time 0.200 (0.224) Data 0.043 (0.076) Loss 2.1267 (2.4280) Prec@1 52.344 (45.130) Prec@5 75.391 (70.668)
Epoch: [39][4610/5005] Time 0.199 (0.225) Data 0.056 (0.076) Loss 2.3123 (2.4280) Prec@1 44.922 (45.132) Prec@5 68.750 (70.667)
Epoch: [39][4620/5005] Time 0.202 (0.224) Data 0.040 (0.076) Loss 2.2949 (2.4280) Prec@1 49.219 (45.131) Prec@5 70.703 (70.666)
Epoch: [39][4630/5005] Time 0.359 (0.224) Data 0.275 (0.076) Loss 2.1889 (2.4278) Prec@1 53.125 (45.134) Prec@5 73.828 (70.668)
Epoch: [39][4640/5005] Time 0.204 (0.224) Data 0.050 (0.076) Loss 2.3724 (2.4277) Prec@1 46.875 (45.136) Prec@5 72.656 (70.670)
Epoch: [39][4650/5005] Time 0.203 (0.225) Data 0.041 (0.076) Loss 2.3667 (2.4277) Prec@1 46.094 (45.140) Prec@5 69.922 (70.670)
Epoch: [39][4660/5005] Time 0.196 (0.225) Data 0.044 (0.076) Loss 2.7843 (2.4277) Prec@1 37.500 (45.140) Prec@5 62.500 (70.668)
Epoch: [39][4670/5005] Time 0.533 (0.225) Data 0.447 (0.077) Loss 2.2684 (2.4277) Prec@1 47.656 (45.139) Prec@5 71.484 (70.668)
Epoch: [39][4680/5005] Time 0.207 (0.225) Data 0.044 (0.077) Loss 2.2286 (2.4277) Prec@1 44.141 (45.137) Prec@5 76.953 (70.668)
Epoch: [39][4690/5005] Time 0.197 (0.225) Data 0.043 (0.077) Loss 2.4610 (2.4277) Prec@1 44.141 (45.137) Prec@5 70.312 (70.668)
Epoch: [39][4700/5005] Time 0.195 (0.225) Data 0.044 (0.077) Loss 2.1848 (2.4276) Prec@1 51.953 (45.139) Prec@5 75.781 (70.668)
Epoch: [39][4710/5005] Time 0.421 (0.225) Data 0.329 (0.077) Loss 2.2912 (2.4275) Prec@1 50.391 (45.140) Prec@5 73.047 (70.673)
Epoch: [39][4720/5005] Time 0.203 (0.225) Data 0.046 (0.077) Loss 2.3759 (2.4274) Prec@1 48.438 (45.142) Prec@5 72.656 (70.673)
Epoch: [39][4730/5005] Time 0.203 (0.225) Data 0.041 (0.077) Loss 2.4097 (2.4275) Prec@1 44.531 (45.142) Prec@5 70.703 (70.671)
Epoch: [39][4740/5005] Time 0.197 (0.225) Data 0.048 (0.077) Loss 2.3498 (2.4273) Prec@1 45.312 (45.145) Prec@5 70.703 (70.673)
Epoch: [39][4750/5005] Time 0.195 (0.225) Data 0.043 (0.077) Loss 2.3029 (2.4272) Prec@1 49.609 (45.144) Prec@5 74.609 (70.675)
Epoch: [39][4760/5005] Time 0.411 (0.225) Data 0.325 (0.077) Loss 2.6452 (2.4272) Prec@1 41.797 (45.144) Prec@5 66.406 (70.674)
Epoch: [39][4770/5005] Time 0.184 (0.225) Data 0.044 (0.077) Loss 2.3312 (2.4272) Prec@1 45.703 (45.144) Prec@5 73.828 (70.675)
Epoch: [39][4780/5005] Time 0.205 (0.225) Data 0.047 (0.077) Loss 2.4431 (2.4271) Prec@1 43.750 (45.145) Prec@5 71.484 (70.677)
Epoch: [39][4790/5005] Time 0.199 (0.225) Data 0.041 (0.077) Loss 2.7509 (2.4272) Prec@1 41.797 (45.144) Prec@5 64.062 (70.677)
Epoch: [39][4800/5005] Time 0.212 (0.225) Data 0.045 (0.077) Loss 2.5436 (2.4272) Prec@1 39.453 (45.142) Prec@5 70.703 (70.679)
Epoch: [39][4810/5005] Time 0.187 (0.225) Data 0.091 (0.077) Loss 2.5478 (2.4271) Prec@1 42.969 (45.143) Prec@5 66.016 (70.678)
Epoch: [39][4820/5005] Time 0.196 (0.225) Data 0.050 (0.077) Loss 2.5171 (2.4270) Prec@1 46.094 (45.146) Prec@5 69.141 (70.679)
Epoch: [39][4830/5005] Time 0.198 (0.225) Data 0.045 (0.077) Loss 2.5965 (2.4269) Prec@1 41.797 (45.148) Prec@5 66.406 (70.679)
Epoch: [39][4840/5005] Time 0.484 (0.225) Data 0.405 (0.077) Loss 2.2278 (2.4269) Prec@1 47.266 (45.146) Prec@5 73.828 (70.677)
Epoch: [39][4850/5005] Time 0.203 (0.225) Data 0.049 (0.077) Loss 2.5251 (2.4272) Prec@1 39.453 (45.141) Prec@5 67.188 (70.673)
Epoch: [39][4860/5005] Time 0.200 (0.225) Data 0.048 (0.077) Loss 2.4873 (2.4270) Prec@1 42.969 (45.142) Prec@5 68.359 (70.674)
Epoch: [39][4870/5005] Time 0.196 (0.225) Data 0.047 (0.077) Loss 2.3173 (2.4270) Prec@1 49.609 (45.143) Prec@5 73.828 (70.674)
Epoch: [39][4880/5005] Time 0.202 (0.225) Data 0.043 (0.077) Loss 2.3459 (2.4269) Prec@1 47.656 (45.145) Prec@5 68.750 (70.676)
Epoch: [39][4890/5005] Time 0.724 (0.225) Data 0.639 (0.077) Loss 2.6534 (2.4268) Prec@1 42.578 (45.146) Prec@5 66.016 (70.676)
Epoch: [39][4900/5005] Time 0.199 (0.225) Data 0.096 (0.077) Loss 2.2661 (2.4267) Prec@1 47.656 (45.149) Prec@5 73.047 (70.679)
Epoch: [39][4910/5005] Time 0.208 (0.225) Data 0.049 (0.077) Loss 2.3556 (2.4266) Prec@1 44.141 (45.150) Prec@5 72.656 (70.681)
Epoch: [39][4920/5005] Time 0.196 (0.225) Data 0.049 (0.077) Loss 2.3228 (2.4265) Prec@1 42.969 (45.148) Prec@5 74.609 (70.684)
Epoch: [39][4930/5005] Time 0.207 (0.225) Data 0.041 (0.077) Loss 2.4667 (2.4264) Prec@1 42.578 (45.152) Prec@5 69.922 (70.686)
Epoch: [39][4940/5005] Time 0.203 (0.225) Data 0.087 (0.077) Loss 2.4492 (2.4265) Prec@1 47.656 (45.152) Prec@5 71.484 (70.686)
Epoch: [39][4950/5005] Time 0.398 (0.225) Data 0.308 (0.077) Loss 2.1840 (2.4264) Prec@1 47.656 (45.154) Prec@5 76.172 (70.688)
Epoch: [39][4960/5005] Time 0.190 (0.225) Data 0.093 (0.077) Loss 2.6459 (2.4264) Prec@1 44.141 (45.157) Prec@5 67.578 (70.686)
Epoch: [39][4970/5005] Time 0.203 (0.225) Data 0.050 (0.077) Loss 2.4750 (2.4263) Prec@1 44.141 (45.156) Prec@5 69.141 (70.687)
Epoch: [39][4980/5005] Time 0.398 (0.225) Data 0.322 (0.077) Loss 2.4486 (2.4262) Prec@1 44.922 (45.158) Prec@5 72.266 (70.690)
Epoch: [39][4990/5005] Time 0.201 (0.225) Data 0.036 (0.077) Loss 2.4385 (2.4262) Prec@1 43.359 (45.161) Prec@5 68.750 (70.692)
Epoch: [39][5000/5005] Time 0.209 (0.225) Data 0.027 (0.077) Loss 2.4473 (2.4261) Prec@1 47.656 (45.163) Prec@5 70.312 (70.692)
Test: [0/196] Time 2.399 (2.399) Loss 2.4699 (2.4699) Prec@1 47.266 (47.266) Prec@5 69.141 (69.141)
Test: [10/196] Time 0.051 (0.404) Loss 2.5631 (2.6304) Prec@1 45.312 (42.898) Prec@5 70.703 (67.898)
Test: [20/196] Time 0.044 (0.301) Loss 2.5806 (2.6313) Prec@1 44.141 (42.374) Prec@5 70.312 (68.341)
Test: [30/196] Time 0.446 (0.278) Loss 2.5413 (2.6382) Prec@1 41.406 (42.200) Prec@5 67.188 (67.893)
Test: [40/196] Time 0.055 (0.263) Loss 2.3031 (2.6319) Prec@1 46.875 (42.426) Prec@5 76.953 (67.988)
Test: [50/196] Time 0.043 (0.262) Loss 2.6863 (2.6320) Prec@1 44.531 (42.540) Prec@5 70.703 (68.099)
Test: [60/196] Time 0.041 (0.249) Loss 2.4907 (2.6164) Prec@1 45.703 (42.841) Prec@5 70.703 (68.359)
Test: [70/196] Time 0.671 (0.252) Loss 2.5572 (2.6118) Prec@1 45.312 (42.820) Prec@5 69.531 (68.359)
Test: [80/196] Time 0.046 (0.246) Loss 2.4306 (2.6153) Prec@1 49.609 (42.814) Prec@5 75.391 (68.456)
Test: [90/196] Time 0.054 (0.239) Loss 2.7521 (2.6193) Prec@1 43.750 (42.827) Prec@5 63.672 (68.342)
Test: [100/196] Time 0.354 (0.241) Loss 2.6452 (2.6175) Prec@1 45.703 (43.004) Prec@5 68.359 (68.309)
Test: [110/196] Time 0.123 (0.240) Loss 2.7766 (2.6202) Prec@1 40.625 (43.004) Prec@5 62.891 (68.278)
Test: [120/196] Time 0.285 (0.236) Loss 2.4419 (2.6167) Prec@1 44.141 (43.091) Prec@5 72.266 (68.321)
Test: [130/196] Time 0.314 (0.235) Loss 2.2819 (2.6133) Prec@1 48.828 (43.207) Prec@5 73.828 (68.347)
Test: [140/196] Time 0.043 (0.235) Loss 2.4927 (2.6157) Prec@1 44.531 (43.104) Prec@5 69.922 (68.323)
Test: [150/196] Time 0.042 (0.234) Loss 2.2633 (2.6146) Prec@1 47.656 (43.139) Prec@5 75.391 (68.375)
Test: [160/196] Time 0.042 (0.232) Loss 2.5355 (2.6124) Prec@1 47.266 (43.160) Prec@5 71.094 (68.413)
Test: [170/196] Time 0.728 (0.235) Loss 2.5260 (2.6148) Prec@1 40.234 (43.115) Prec@5 71.875 (68.378)
Test: [180/196] Time 0.044 (0.235) Loss 2.8178 (2.6189) Prec@1 40.234 (43.066) Prec@5 63.281 (68.295)
Test: [190/196] Time 0.042 (0.232) Loss 2.7905 (2.6216) Prec@1 43.359 (43.032) Prec@5 65.234 (68.208)
* Prec@1 43.058 Prec@5 68.224
Learning rate: 0.0001
Epoch: [40][0/5005] Time 2.382 (2.382) Data 2.287 (2.287) Loss 2.2697 (2.2697) Prec@1 50.000 (50.000) Prec@5 72.266 (72.266)
Epoch: [40][10/5005] Time 0.199 (0.400) Data 0.042 (0.252) Loss 2.3747 (2.4191) Prec@1 44.531 (44.922) Prec@5 71.484 (71.236)
Epoch: [40][20/5005] Time 0.206 (0.305) Data 0.042 (0.153) Loss 2.5042 (2.4575) Prec@1 48.828 (43.731) Prec@5 69.141 (70.647)
Epoch: [40][30/5005] Time 0.204 (0.272) Data 0.045 (0.119) Loss 2.3870 (2.4182) Prec@1 47.266 (45.136) Prec@5 69.922 (70.779)
Epoch: [40][40/5005] Time 0.193 (0.254) Data 0.062 (0.101) Loss 2.3253 (2.4404) Prec@1 44.531 (44.588) Prec@5 72.656 (70.579)
Epoch: [40][50/5005] Time 0.197 (0.244) Data 0.045 (0.090) Loss 2.2760 (2.4352) Prec@1 47.656 (44.707) Prec@5 74.219 (70.810)
Epoch: [40][60/5005] Time 0.202 (0.236) Data 0.050 (0.083) Loss 2.3211 (2.4323) Prec@1 45.312 (44.807) Prec@5 75.781 (70.806)
Epoch: [40][70/5005] Time 0.206 (0.235) Data 0.045 (0.079) Loss 2.5323 (2.4380) Prec@1 41.797 (44.746) Prec@5 69.141 (70.654)
Epoch: [40][80/5005] Time 0.211 (0.231) Data 0.048 (0.075) Loss 2.2868 (2.4325) Prec@1 50.000 (44.850) Prec@5 74.609 (70.747)
Epoch: [40][90/5005] Time 0.195 (0.228) Data 0.045 (0.071) Loss 2.3970 (2.4308) Prec@1 49.609 (45.081) Prec@5 71.094 (70.798)
Epoch: [40][100/5005] Time 0.205 (0.230) Data 0.046 (0.069) Loss 2.2999 (2.4355) Prec@1 47.266 (44.964) Prec@5 71.094 (70.692)
Epoch: [40][110/5005] Time 0.194 (0.227) Data 0.048 (0.067) Loss 2.4980 (2.4358) Prec@1 43.750 (44.971) Prec@5 66.797 (70.710)
Epoch: [40][120/5005] Time 0.197 (0.225) Data 0.047 (0.065) Loss 2.4319 (2.4386) Prec@1 39.844 (44.974) Prec@5 67.969 (70.655)
Epoch: [40][130/5005] Time 0.204 (0.223) Data 0.044 (0.064) Loss 2.4833 (2.4376) Prec@1 45.703 (45.017) Prec@5 69.922 (70.626)
Epoch: [40][140/5005] Time 0.281 (0.222) Data 0.199 (0.065) Loss 2.4482 (2.4364) Prec@1 42.578 (45.013) Prec@5 69.922 (70.678)
Epoch: [40][150/5005] Time 0.192 (0.225) Data 0.046 (0.070) Loss 2.6467 (2.4394) Prec@1 39.453 (44.919) Prec@5 64.844 (70.638)
Epoch: [40][160/5005] Time 0.425 (0.226) Data 0.340 (0.072) Loss 2.3404 (2.4407) Prec@1 44.922 (44.924) Prec@5 71.875 (70.642)
Epoch: [40][170/5005] Time 0.197 (0.225) Data 0.049 (0.073) Loss 2.5316 (2.4411) Prec@1 44.531 (44.885) Prec@5 69.922 (70.635)
Epoch: [40][180/5005] Time 0.210 (0.225) Data 0.109 (0.073) Loss 2.6415 (2.4427) Prec@1 42.578 (44.935) Prec@5 62.891 (70.554)
Epoch: [40][190/5005] Time 0.218 (0.226) Data 0.052 (0.075) Loss 2.5277 (2.4462) Prec@1 45.312 (44.889) Prec@5 69.141 (70.472)
Epoch: [40][200/5005] Time 0.212 (0.227) Data 0.050 (0.077) Loss 2.6792 (2.4464) Prec@1 38.281 (44.862) Prec@5 66.797 (70.468)
Epoch: [40][210/5005] Time 0.268 (0.228) Data 0.184 (0.077) Loss 2.2105 (2.4438) Prec@1 48.828 (44.914) Prec@5 73.438 (70.490)
Epoch: [40][220/5005] Time 0.217 (0.227) Data 0.056 (0.077) Loss 2.4164 (2.4450) Prec@1 44.922 (44.897) Prec@5 68.750 (70.433)
Epoch: [40][230/5005] Time 0.242 (0.228) Data 0.159 (0.078) Loss 2.4189 (2.4444) Prec@1 48.828 (44.962) Prec@5 72.656 (70.468)
Epoch: [40][240/5005] Time 0.218 (0.228) Data 0.046 (0.077) Loss 2.3622 (2.4439) Prec@1 44.531 (44.936) Prec@5 72.656 (70.479)
Epoch: [40][250/5005] Time 0.204 (0.228) Data 0.085 (0.078) Loss 2.5939 (2.4433) Prec@1 38.672 (44.908) Prec@5 70.703 (70.516)
Epoch: [40][260/5005] Time 0.201 (0.229) Data 0.051 (0.080) Loss 2.1836 (2.4414) Prec@1 46.484 (44.922) Prec@5 75.391 (70.553)
Epoch: [40][270/5005] Time 0.212 (0.229) Data 0.045 (0.081) Loss 2.4374 (2.4406) Prec@1 48.047 (44.928) Prec@5 71.094 (70.565)
Epoch: [40][280/5005] Time 0.209 (0.231) Data 0.049 (0.083) Loss 2.7816 (2.4432) Prec@1 42.969 (44.882) Prec@5 63.281 (70.543)
Epoch: [40][290/5005] Time 0.209 (0.232) Data 0.045 (0.083) Loss 2.1937 (2.4440) Prec@1 49.609 (44.847) Prec@5 73.047 (70.506)
Epoch: [40][300/5005] Time 0.202 (0.231) Data 0.044 (0.082) Loss 2.2643 (2.4435) Prec@1 46.484 (44.876) Prec@5 73.438 (70.498)
Epoch: [40][310/5005] Time 0.208 (0.232) Data 0.043 (0.083) Loss 2.2279 (2.4398) Prec@1 48.828 (44.955) Prec@5 72.266 (70.552)
Epoch: [40][320/5005] Time 0.208 (0.232) Data 0.049 (0.083) Loss 2.7304 (2.4410) Prec@1 39.453 (44.936) Prec@5 68.750 (70.536)
Epoch: [40][330/5005] Time 0.200 (0.232) Data 0.054 (0.084) Loss 2.1937 (2.4400) Prec@1 48.438 (44.960) Prec@5 73.828 (70.554)
Epoch: [40][340/5005] Time 0.207 (0.232) Data 0.107 (0.084) Loss 2.5363 (2.4442) Prec@1 47.266 (44.924) Prec@5 68.359 (70.488)
Epoch: [40][350/5005] Time 0.209 (0.232) Data 0.054 (0.085) Loss 2.5579 (2.4432) Prec@1 41.797 (44.940) Prec@5 68.750 (70.502)
Epoch: [40][360/5005] Time 0.213 (0.231) Data 0.052 (0.084) Loss 2.5710 (2.4439) Prec@1 43.359 (44.909) Prec@5 64.844 (70.464)
Epoch: [40][370/5005] Time 0.213 (0.231) Data 0.041 (0.083) Loss 2.3753 (2.4424) Prec@1 43.750 (44.939) Prec@5 69.141 (70.476)
Epoch: [40][380/5005] Time 0.215 (0.230) Data 0.043 (0.082) Loss 2.5853 (2.4434) Prec@1 46.875 (44.957) Prec@5 66.797 (70.440)
Epoch: [40][390/5005] Time 0.217 (0.230) Data 0.046 (0.081) Loss 2.3116 (2.4445) Prec@1 47.266 (44.945) Prec@5 73.828 (70.411)
Epoch: [40][400/5005] Time 0.220 (0.230) Data 0.043 (0.080) Loss 2.2759 (2.4429) Prec@1 48.828 (44.989) Prec@5 73.438 (70.439)
Epoch: [40][410/5005] Time 0.206 (0.229) Data 0.041 (0.079) Loss 2.3496 (2.4429) Prec@1 47.656 (45.001) Prec@5 73.828 (70.458)
Epoch: [40][420/5005] Time 0.212 (0.229) Data 0.041 (0.078) Loss 2.3305 (2.4417) Prec@1 48.047 (45.042) Prec@5 72.656 (70.493)
Epoch: [40][430/5005] Time 0.214 (0.229) Data 0.042 (0.077) Loss 2.3518 (2.4419) Prec@1 45.703 (45.009) Prec@5 74.609 (70.493)
Epoch: [40][440/5005] Time 0.220 (0.228) Data 0.043 (0.077) Loss 2.3247 (2.4416) Prec@1 51.172 (45.002) Prec@5 71.484 (70.506)
Epoch: [40][450/5005] Time 0.218 (0.228) Data 0.042 (0.076) Loss 2.3218 (2.4421) Prec@1 44.531 (44.983) Prec@5 71.484 (70.493)
Epoch: [40][460/5005] Time 0.203 (0.228) Data 0.046 (0.075) Loss 2.4881 (2.4421) Prec@1 42.188 (44.950) Prec@5 66.016 (70.488)
Epoch: [40][470/5005] Time 0.213 (0.227) Data 0.039 (0.074) Loss 2.4905 (2.4427) Prec@1 39.453 (44.953) Prec@5 66.797 (70.463)
Epoch: [40][480/5005] Time 0.215 (0.227) Data 0.043 (0.074) Loss 2.5905 (2.4425) Prec@1 41.406 (44.945) Prec@5 69.922 (70.462)
Epoch: [40][490/5005] Time 0.210 (0.227) Data 0.050 (0.073) Loss 2.3793 (2.4422) Prec@1 47.656 (44.947) Prec@5 70.703 (70.445)
Epoch: [40][500/5005] Time 0.213 (0.226) Data 0.047 (0.073) Loss 2.5994 (2.4440) Prec@1 44.922 (44.959) Prec@5 65.625 (70.420)
Epoch: [40][510/5005] Time 0.210 (0.226) Data 0.048 (0.072) Loss 2.6026 (2.4447) Prec@1 41.797 (44.944) Prec@5 66.016 (70.428)
Epoch: [40][520/5005] Time 0.211 (0.226) Data 0.043 (0.072) Loss 2.4182 (2.4443) Prec@1 42.578 (44.917) Prec@5 69.141 (70.429)
Epoch: [40][530/5005] Time 0.214 (0.225) Data 0.046 (0.071) Loss 2.3869 (2.4451) Prec@1 45.312 (44.906) Prec@5 68.750 (70.393)
Epoch: [40][540/5005] Time 0.200 (0.225) Data 0.055 (0.071) Loss 2.6338 (2.4459) Prec@1 43.359 (44.884) Prec@5 68.359 (70.388)
Epoch: [40][550/5005] Time 0.218 (0.225) Data 0.044 (0.070) Loss 2.2657 (2.4452) Prec@1 49.609 (44.913) Prec@5 76.953 (70.398)
Epoch: [40][560/5005] Time 0.216 (0.225) Data 0.049 (0.070) Loss 2.6236 (2.4455) Prec@1 43.750 (44.900) Prec@5 71.094 (70.412)
Epoch: [40][570/5005] Time 0.208 (0.225) Data 0.058 (0.070) Loss 2.4796 (2.4458) Prec@1 42.578 (44.882) Prec@5 67.578 (70.387)
Epoch: [40][580/5005] Time 0.214 (0.224) Data 0.066 (0.069) Loss 2.5817 (2.4455) Prec@1 42.969 (44.882) Prec@5 67.188 (70.385)
Epoch: [40][590/5005] Time 0.214 (0.224) Data 0.039 (0.069) Loss 2.5345 (2.4454) Prec@1 42.188 (44.886) Prec@5 67.188 (70.372)
Epoch: [40][600/5005] Time 0.216 (0.224) Data 0.052 (0.069) Loss 2.4005 (2.4459) Prec@1 44.531 (44.866) Prec@5 71.484 (70.373)
Epoch: [40][610/5005] Time 0.206 (0.224) Data 0.048 (0.068) Loss 2.4724 (2.4461) Prec@1 44.531 (44.865) Prec@5 69.531 (70.377)
Epoch: [40][620/5005] Time 0.205 (0.223) Data 0.044 (0.068) Loss 2.4846 (2.4459) Prec@1 43.750 (44.876) Prec@5 69.922 (70.384)
Epoch: [40][630/5005] Time 0.218 (0.223) Data 0.042 (0.068) Loss 2.7000 (2.4454) Prec@1 41.406 (44.893) Prec@5 69.141 (70.400)
Epoch: [40][640/5005] Time 0.215 (0.223) Data 0.047 (0.067) Loss 2.2938 (2.4454) Prec@1 46.094 (44.888) Prec@5 72.266 (70.400)
Epoch: [40][650/5005] Time 0.216 (0.223) Data 0.043 (0.067) Loss 2.4973 (2.4462) Prec@1 41.016 (44.873) Prec@5 71.484 (70.390)
Epoch: [40][660/5005] Time 0.224 (0.223) Data 0.047 (0.067) Loss 2.5572 (2.4454) Prec@1 39.844 (44.878) Prec@5 71.094 (70.408)
Epoch: [40][670/5005] Time 0.213 (0.223) Data 0.042 (0.066) Loss 2.6657 (2.4452) Prec@1 40.625 (44.874) Prec@5 68.359 (70.400)
Epoch: [40][680/5005] Time 0.218 (0.223) Data 0.043 (0.066) Loss 2.4568 (2.4451) Prec@1 44.141 (44.865) Prec@5 69.922 (70.396)
Epoch: [40][690/5005] Time 0.217 (0.223) Data 0.047 (0.066) Loss 2.3431 (2.4443) Prec@1 50.391 (44.882) Prec@5 72.656 (70.408)
Epoch: [40][700/5005] Time 0.213 (0.222) Data 0.043 (0.065) Loss 2.5457 (2.4445) Prec@1 42.578 (44.863) Prec@5 69.922 (70.418)
Epoch: [40][710/5005] Time 0.216 (0.222) Data 0.046 (0.065) Loss 2.3075 (2.4444) Prec@1 47.656 (44.869) Prec@5 72.656 (70.420)
Epoch: [40][720/5005] Time 0.215 (0.222) Data 0.048 (0.065) Loss 2.2862 (2.4436) Prec@1 48.047 (44.884) Prec@5 75.000 (70.426)
Epoch: [40][730/5005] Time 0.212 (0.222) Data 0.047 (0.065) Loss 2.6379 (2.4444) Prec@1 44.531 (44.879) Prec@5 66.406 (70.415)
Epoch: [40][740/5005] Time 0.210 (0.222) Data 0.049 (0.064) Loss 2.5484 (2.4447) Prec@1 46.484 (44.883) Prec@5 67.188 (70.401)
Epoch: [40][750/5005] Time 0.202 (0.222) Data 0.046 (0.064) Loss 2.2865 (2.4439) Prec@1 49.219 (44.910) Prec@5 72.656 (70.402)
Epoch: [40][760/5005] Time 0.207 (0.221) Data 0.048 (0.064) Loss 2.4740 (2.4438) Prec@1 46.484 (44.917) Prec@5 70.703 (70.413)
Epoch: [40][770/5005] Time 0.221 (0.221) Data 0.042 (0.064) Loss 2.4779 (2.4426) Prec@1 42.578 (44.938) Prec@5 71.094 (70.435)
Epoch: [40][780/5005] Time 0.211 (0.221) Data 0.039 (0.063) Loss 2.5469 (2.4426) Prec@1 45.703 (44.934) Prec@5 67.578 (70.430)
Epoch: [40][790/5005] Time 0.210 (0.221) Data 0.049 (0.063) Loss 2.4635 (2.4424) Prec@1 43.359 (44.931) Prec@5 67.578 (70.432)
Epoch: [40][800/5005] Time 0.216 (0.221) Data 0.039 (0.063) Loss 2.2753 (2.4419) Prec@1 49.219 (44.938) Prec@5 74.219 (70.434)
Epoch: [40][810/5005] Time 0.203 (0.221) Data 0.050 (0.063) Loss 2.4348 (2.4419) Prec@1 46.484 (44.943) Prec@5 71.875 (70.428)
Epoch: [40][820/5005] Time 0.203 (0.221) Data 0.056 (0.063) Loss 2.5530 (2.4425) Prec@1 45.312 (44.933) Prec@5 70.312 (70.415)
Epoch: [40][830/5005] Time 0.207 (0.221) Data 0.048 (0.063) Loss 2.3016 (2.4424) Prec@1 47.266 (44.940) Prec@5 71.484 (70.412)
Epoch: [40][840/5005] Time 0.235 (0.221) Data 0.151 (0.063) Loss 2.4785 (2.4425) Prec@1 42.188 (44.940) Prec@5 67.578 (70.411)
Epoch: [40][850/5005] Time 0.204 (0.221) Data 0.049 (0.064) Loss 2.7149 (2.4419) Prec@1 40.625 (44.937) Prec@5 65.625 (70.416)
Epoch: [40][860/5005] Time 0.204 (0.221) Data 0.040 (0.064) Loss 2.3937 (2.4420) Prec@1 43.750 (44.930) Prec@5 69.141 (70.404)
Epoch: [40][870/5005] Time 0.255 (0.221) Data 0.169 (0.064) Loss 2.3026 (2.4413) Prec@1 46.094 (44.933) Prec@5 72.266 (70.415)
Epoch: [40][880/5005] Time 0.210 (0.221) Data 0.043 (0.064) Loss 2.3138 (2.4416) Prec@1 46.484 (44.932) Prec@5 70.312 (70.405)
Epoch: [40][890/5005] Time 0.208 (0.221) Data 0.044 (0.064) Loss 2.6492 (2.4416) Prec@1 40.625 (44.921) Prec@5 66.406 (70.395)
Epoch: [40][900/5005] Time 0.211 (0.221) Data 0.047 (0.064) Loss 2.3643 (2.4407) Prec@1 42.969 (44.923) Prec@5 73.047 (70.412)
Epoch: [40][910/5005] Time 0.208 (0.221) Data 0.046 (0.064) Loss 2.3340 (2.4401) Prec@1 46.875 (44.937) Prec@5 71.875 (70.418)
Epoch: [40][920/5005] Time 0.204 (0.221) Data 0.056 (0.065) Loss 2.5254 (2.4399) Prec@1 43.750 (44.962) Prec@5 70.312 (70.431)
Epoch: [40][930/5005] Time 0.197 (0.221) Data 0.061 (0.065) Loss 2.5007 (2.4396) Prec@1 44.531 (44.976) Prec@5 69.141 (70.427)
Epoch: [40][940/5005] Time 0.200 (0.222) Data 0.040 (0.065) Loss 2.2136 (2.4397) Prec@1 47.656 (44.982) Prec@5 77.344 (70.429)
Epoch: [40][950/5005] Time 0.198 (0.223) Data 0.050 (0.065) Loss 2.6180 (2.4410) Prec@1 44.531 (44.964) Prec@5 67.188 (70.418)
Epoch: [40][960/5005] Time 0.331 (0.223) Data 0.234 (0.066) Loss 2.5886 (2.4415) Prec@1 46.875 (44.950) Prec@5 69.531 (70.415)
Epoch: [40][970/5005] Time 0.192 (0.223) Data 0.051 (0.066) Loss 2.3388 (2.4418) Prec@1 48.828 (44.958) Prec@5 70.312 (70.415)
Epoch: [40][980/5005] Time 0.212 (0.223) Data 0.057 (0.066) Loss 2.4193 (2.4410) Prec@1 46.875 (44.970) Prec@5 67.188 (70.425)
Epoch: [40][990/5005] Time 0.210 (0.223) Data 0.040 (0.066) Loss 2.6112 (2.4417) Prec@1 38.672 (44.949) Prec@5 67.188 (70.413)
Epoch: [40][1000/5005] Time 0.200 (0.223) Data 0.044 (0.065) Loss 2.4602 (2.4415) Prec@1 48.438 (44.952) Prec@5 71.094 (70.411)
Epoch: [40][1010/5005] Time 0.214 (0.223) Data 0.052 (0.065) Loss 2.5280 (2.4410) Prec@1 45.703 (44.967) Prec@5 69.531 (70.423)
Epoch: [40][1020/5005] Time 0.210 (0.222) Data 0.049 (0.065) Loss 2.2501 (2.4413) Prec@1 46.875 (44.963) Prec@5 73.828 (70.422)
Epoch: [40][1030/5005] Time 0.211 (0.222) Data 0.044 (0.065) Loss 2.3915 (2.4412) Prec@1 47.266 (44.967) Prec@5 69.141 (70.419)
Epoch: [40][1040/5005] Time 0.215 (0.222) Data 0.045 (0.065) Loss 2.6389 (2.4420) Prec@1 39.062 (44.947) Prec@5 68.750 (70.405)
Epoch: [40][1050/5005] Time 0.210 (0.222) Data 0.045 (0.065) Loss 2.6097 (2.4424) Prec@1 42.578 (44.940) Prec@5 67.969 (70.401)
Epoch: [40][1060/5005] Time 0.215 (0.222) Data 0.043 (0.064) Loss 2.5262 (2.4429) Prec@1 43.359 (44.936) Prec@5 69.531 (70.389)
Epoch: [40][1070/5005] Time 0.211 (0.222) Data 0.041 (0.064) Loss 2.4815 (2.4427) Prec@1 40.234 (44.935) Prec@5 69.531 (70.397)
Epoch: [40][1080/5005] Time 0.204 (0.222) Data 0.052 (0.064) Loss 2.4648 (2.4429) Prec@1 47.266 (44.937) Prec@5 70.703 (70.392)
Epoch: [40][1090/5005] Time 0.221 (0.222) Data 0.046 (0.064) Loss 2.2003 (2.4425) Prec@1 47.266 (44.929) Prec@5 73.828 (70.401)
Epoch: [40][1100/5005] Time 0.213 (0.222) Data 0.041 (0.064) Loss 2.3624 (2.4419) Prec@1 46.094 (44.948) Prec@5 71.875 (70.410)
Epoch: [40][1110/5005] Time 0.211 (0.221) Data 0.043 (0.064) Loss 2.4510 (2.4419) Prec@1 43.359 (44.944) Prec@5 69.922 (70.416)
Epoch: [40][1120/5005] Time 0.207 (0.221) Data 0.040 (0.063) Loss 2.2811 (2.4413) Prec@1 47.266 (44.952) Prec@5 72.656 (70.422)
Epoch: [40][1130/5005] Time 0.211 (0.221) Data 0.041 (0.063) Loss 2.4707 (2.4414) Prec@1 42.578 (44.947) Prec@5 71.094 (70.418)
Epoch: [40][1140/5005] Time 0.211 (0.221) Data 0.052 (0.063) Loss 2.4221 (2.4410) Prec@1 44.531 (44.941) Prec@5 70.703 (70.433)
Epoch: [40][1150/5005] Time 0.215 (0.221) Data 0.046 (0.063) Loss 2.3087 (2.4404) Prec@1 46.875 (44.962) Prec@5 75.000 (70.448)
Epoch: [40][1160/5005] Time 0.211 (0.221) Data 0.048 (0.063) Loss 2.4457 (2.4404) Prec@1 44.922 (44.964) Prec@5 69.922 (70.446)
Epoch: [40][1170/5005] Time 0.224 (0.221) Data 0.044 (0.063) Loss 2.3926 (2.4402) Prec@1 46.484 (44.970) Prec@5 71.094 (70.442)
Epoch: [40][1180/5005] Time 0.226 (0.221) Data 0.135 (0.063) Loss 2.4210 (2.4399) Prec@1 46.484 (44.964) Prec@5 70.703 (70.448)
Epoch: [40][1190/5005] Time 0.205 (0.221) Data 0.046 (0.063) Loss 2.2992 (2.4396) Prec@1 43.750 (44.966) Prec@5 71.875 (70.458)
Epoch: [40][1200/5005] Time 0.200 (0.221) Data 0.059 (0.063) Loss 2.6379 (2.4397) Prec@1 43.359 (44.964) Prec@5 67.188 (70.456)
Epoch: [40][1210/5005] Time 0.202 (0.221) Data 0.051 (0.064) Loss 2.4724 (2.4401) Prec@1 43.359 (44.956) Prec@5 71.484 (70.451)
Epoch: [40][1220/5005] Time 0.204 (0.221) Data 0.044 (0.063) Loss 2.4591 (2.4401) Prec@1 46.094 (44.955) Prec@5 71.875 (70.458)
Epoch: [40][1230/5005] Time 0.213 (0.221) Data 0.042 (0.064) Loss 2.5211 (2.4402) Prec@1 46.875 (44.951) Prec@5 68.359 (70.453)
Epoch: [40][1240/5005] Time 0.445 (0.221) Data 0.360 (0.064) Loss 2.4065 (2.4404) Prec@1 45.312 (44.943) Prec@5 69.531 (70.443)
Epoch: [40][1250/5005] Time 0.207 (0.221) Data 0.043 (0.064) Loss 2.5749 (2.4407) Prec@1 42.969 (44.944) Prec@5 67.188 (70.435)
Epoch: [40][1260/5005] Time 0.206 (0.221) Data 0.040 (0.064) Loss 2.2229 (2.4402) Prec@1 53.125 (44.953) Prec@5 74.219 (70.440)
Epoch: [40][1270/5005] Time 0.215 (0.221) Data 0.045 (0.064) Loss 2.5339 (2.4407) Prec@1 42.188 (44.942) Prec@5 68.359 (70.423)
Epoch: [40][1280/5005] Time 0.211 (0.221) Data 0.084 (0.064) Loss 2.4530 (2.4409) Prec@1 45.703 (44.938) Prec@5 71.875 (70.421)
Epoch: [40][1290/5005] Time 0.208 (0.221) Data 0.041 (0.064) Loss 2.2350 (2.4408) Prec@1 52.734 (44.947) Prec@5 71.484 (70.420)
Epoch: [40][1300/5005] Time 0.195 (0.221) Data 0.057 (0.064) Loss 2.3087 (2.4408) Prec@1 48.047 (44.953) Prec@5 71.875 (70.422)
Epoch: [40][1310/5005] Time 0.210 (0.221) Data 0.047 (0.064) Loss 2.4227 (2.4407) Prec@1 40.234 (44.948) Prec@5 72.266 (70.430)
Epoch: [40][1320/5005] Time 0.212 (0.221) Data 0.048 (0.064) Loss 2.5385 (2.4407) Prec@1 46.094 (44.953) Prec@5 68.359 (70.436)
Epoch: [40][1330/5005] Time 0.207 (0.221) Data 0.044 (0.065) Loss 2.4672 (2.4411) Prec@1 45.312 (44.946) Prec@5 71.094 (70.429)
Epoch: [40][1340/5005] Time 0.205 (0.221) Data 0.042 (0.064) Loss 2.4541 (2.4410) Prec@1 43.750 (44.950) Prec@5 67.578 (70.425)
Epoch: [40][1350/5005] Time 0.215 (0.221) Data 0.054 (0.064) Loss 2.8752 (2.4414) Prec@1 40.625 (44.942) Prec@5 63.672 (70.417)
Epoch: [40][1360/5005] Time 0.213 (0.221) Data 0.095 (0.064) Loss 2.3884 (2.4413) Prec@1 45.703 (44.934) Prec@5 70.703 (70.420)
Epoch: [40][1370/5005] Time 0.207 (0.221) Data 0.046 (0.065) Loss 2.4753 (2.4409) Prec@1 42.969 (44.941) Prec@5 70.703 (70.429)
Epoch: [40][1380/5005] Time 0.209 (0.221) Data 0.044 (0.065) Loss 2.4857 (2.4407) Prec@1 42.969 (44.952) Prec@5 69.531 (70.436)
Epoch: [40][1390/5005] Time 0.204 (0.222) Data 0.061 (0.065) Loss 2.3754 (2.4407) Prec@1 46.875 (44.959) Prec@5 71.094 (70.435)
Epoch: [40][1400/5005] Time 0.213 (0.222) Data 0.045 (0.065) Loss 2.5342 (2.4400) Prec@1 43.750 (44.968) Prec@5 67.969 (70.445)
Epoch: [40][1410/5005] Time 0.202 (0.221) Data 0.040 (0.065) Loss 2.4737 (2.4398) Prec@1 45.703 (44.970) Prec@5 71.484 (70.452)
Epoch: [40][1420/5005] Time 0.203 (0.221) Data 0.049 (0.065) Loss 2.6947 (2.4399) Prec@1 44.141 (44.964) Prec@5 66.797 (70.451)
Epoch: [40][1430/5005] Time 0.322 (0.222) Data 0.233 (0.066) Loss 2.0684 (2.4393) Prec@1 54.297 (44.979) Prec@5 76.562 (70.459)
Epoch: [40][1440/5005] Time 0.197 (0.222) Data 0.050 (0.066) Loss 2.2970 (2.4390) Prec@1 47.656 (44.979) Prec@5 73.828 (70.465)
Epoch: [40][1450/5005] Time 0.201 (0.222) Data 0.040 (0.066) Loss 2.3654 (2.4389) Prec@1 46.484 (44.985) Prec@5 70.703 (70.462)
Epoch: [40][1460/5005] Time 0.183 (0.222) Data 0.097 (0.066) Loss 2.4246 (2.4387) Prec@1 39.062 (44.985) Prec@5 68.750 (70.466)
Epoch: [40][1470/5005] Time 0.213 (0.221) Data 0.039 (0.066) Loss 2.5558 (2.4389) Prec@1 44.922 (44.988) Prec@5 70.312 (70.469)
Epoch: [40][1480/5005] Time 0.195 (0.222) Data 0.044 (0.066) Loss 2.3351 (2.4392) Prec@1 48.828 (44.985) Prec@5 71.094 (70.463)
Epoch: [40][1490/5005] Time 0.201 (0.222) Data 0.044 (0.066) Loss 2.6506 (2.4389) Prec@1 41.016 (44.985) Prec@5 65.625 (70.463)
Epoch: [40][1500/5005] Time 0.368 (0.222) Data 0.279 (0.066) Loss 2.4608 (2.4386) Prec@1 46.094 (44.990) Prec@5 68.750 (70.469)
Epoch: [40][1510/5005] Time 0.202 (0.222) Data 0.050 (0.066) Loss 2.2638 (2.4385) Prec@1 48.438 (44.987) Prec@5 73.828 (70.479)
Epoch: [40][1520/5005] Time 0.203 (0.222) Data 0.039 (0.066) Loss 2.3847 (2.4382) Prec@1 47.656 (44.994) Prec@5 73.438 (70.482)
Epoch: [40][1530/5005] Time 0.211 (0.221) Data 0.044 (0.066) Loss 2.5968 (2.4382) Prec@1 40.625 (44.993) Prec@5 67.969 (70.478)
Epoch: [40][1540/5005] Time 0.203 (0.222) Data 0.049 (0.066) Loss 2.4861 (2.4385) Prec@1 40.625 (44.990) Prec@5 67.969 (70.472)
Epoch: [40][1550/5005] Time 0.202 (0.221) Data 0.046 (0.066) Loss 2.3764 (2.4380) Prec@1 47.656 (44.993) Prec@5 73.828 (70.475)
Epoch: [40][1560/5005] Time 0.196 (0.222) Data 0.107 (0.067) Loss 2.2768 (2.4379) Prec@1 44.531 (44.995) Prec@5 73.438 (70.477)
Epoch: [40][1570/5005] Time 0.275 (0.222) Data 0.180 (0.067) Loss 2.3244 (2.4373) Prec@1 44.922 (45.002) Prec@5 70.312 (70.490)
Epoch: [40][1580/5005] Time 0.191 (0.222) Data 0.054 (0.067) Loss 2.3288 (2.4374) Prec@1 45.703 (44.999) Prec@5 73.828 (70.486)
Epoch: [40][1590/5005] Time 0.211 (0.222) Data 0.075 (0.067) Loss 2.4583 (2.4374) Prec@1 47.656 (44.996) Prec@5 67.188 (70.486)
Epoch: [40][1600/5005] Time 0.202 (0.222) Data 0.040 (0.068) Loss 2.4897 (2.4373) Prec@1 45.312 (45.001) Prec@5 68.359 (70.488)
Epoch: [40][1610/5005] Time 0.195 (0.222) Data 0.052 (0.068) Loss 2.4758 (2.4372) Prec@1 44.922 (45.000) Prec@5 69.531 (70.489)
Epoch: [40][1620/5005] Time 0.206 (0.222) Data 0.042 (0.068) Loss 2.6165 (2.4369) Prec@1 40.234 (44.995) Prec@5 69.141 (70.495)
Epoch: [40][1630/5005] Time 0.209 (0.222) Data 0.045 (0.068) Loss 2.3427 (2.4369) Prec@1 45.312 (44.994) Prec@5 73.438 (70.494)
Epoch: [40][1640/5005] Time 0.197 (0.222) Data 0.057 (0.068) Loss 2.4219 (2.4371) Prec@1 44.922 (44.994) Prec@5 73.828 (70.494)
Epoch: [40][1650/5005] Time 0.200 (0.222) Data 0.050 (0.068) Loss 2.4216 (2.4370) Prec@1 46.875 (44.995) Prec@5 67.969 (70.498)
Epoch: [40][1660/5005] Time 0.211 (0.222) Data 0.046 (0.068) Loss 2.2773 (2.4361) Prec@1 46.875 (45.015) Prec@5 75.000 (70.515)
Epoch: [40][1670/5005] Time 0.207 (0.222) Data 0.050 (0.068) Loss 2.2957 (2.4362) Prec@1 50.391 (45.021) Prec@5 70.312 (70.514)
Epoch: [40][1680/5005] Time 0.216 (0.222) Data 0.042 (0.068) Loss 2.6276 (2.4364) Prec@1 42.578 (45.014) Prec@5 67.188 (70.510)
Epoch: [40][1690/5005] Time 0.482 (0.222) Data 0.384 (0.068) Loss 2.2169 (2.4359) Prec@1 50.781 (45.026) Prec@5 74.219 (70.519)
Epoch: [40][1700/5005] Time 0.192 (0.222) Data 0.057 (0.068) Loss 2.4967 (2.4355) Prec@1 45.312 (45.031) Prec@5 66.406 (70.525)
Epoch: [40][1710/5005] Time 0.207 (0.222) Data 0.043 (0.068) Loss 2.3770 (2.4351) Prec@1 48.047 (45.035) Prec@5 71.094 (70.533)
Epoch: [40][1720/5005] Time 0.195 (0.222) Data 0.051 (0.068) Loss 2.5248 (2.4352) Prec@1 42.578 (45.028) Prec@5 70.312 (70.532)
Epoch: [40][1730/5005] Time 0.195 (0.222) Data 0.048 (0.068) Loss 2.4865 (2.4350) Prec@1 42.969 (45.033) Prec@5 68.750 (70.538)
Epoch: [40][1740/5005] Time 0.206 (0.222) Data 0.081 (0.068) Loss 2.5585 (2.4349) Prec@1 43.359 (45.033) Prec@5 68.359 (70.542)
Epoch: [40][1750/5005] Time 0.203 (0.222) Data 0.049 (0.069) Loss 2.4594 (2.4346) Prec@1 43.359 (45.037) Prec@5 70.312 (70.551)
Epoch: [40][1760/5005] Time 0.204 (0.222) Data 0.040 (0.069) Loss 2.2674 (2.4344) Prec@1 49.219 (45.040) Prec@5 74.219 (70.557)
Epoch: [40][1770/5005] Time 0.209 (0.222) Data 0.039 (0.069) Loss 2.4222 (2.4342) Prec@1 46.484 (45.041) Prec@5 73.828 (70.564)
Epoch: [40][1780/5005] Time 0.209 (0.222) Data 0.041 (0.069) Loss 2.4221 (2.4341) Prec@1 42.969 (45.034) Prec@5 73.828 (70.565)
Epoch: [40][1790/5005] Time 0.205 (0.222) Data 0.084 (0.069) Loss 2.3249 (2.4338) Prec@1 49.219 (45.040) Prec@5 71.875 (70.566)
Epoch: [40][1800/5005] Time 0.198 (0.222) Data 0.045 (0.069) Loss 2.3637 (2.4336) Prec@1 44.922 (45.047) Prec@5 72.266 (70.569)
Epoch: [40][1810/5005] Time 0.197 (0.223) Data 0.048 (0.069) Loss 2.2828 (2.4333) Prec@1 48.828 (45.057) Prec@5 73.828 (70.573)
Epoch: [40][1820/5005] Time 0.209 (0.223) Data 0.050 (0.069) Loss 2.4639 (2.4332) Prec@1 41.406 (45.058) Prec@5 68.750 (70.572)
Epoch: [40][1830/5005] Time 0.248 (0.222) Data 0.161 (0.069) Loss 2.2398 (2.4329) Prec@1 48.828 (45.063) Prec@5 71.094 (70.575)
Epoch: [40][1840/5005] Time 0.207 (0.222) Data 0.070 (0.069) Loss 2.5689 (2.4328) Prec@1 40.625 (45.071) Prec@5 67.188 (70.576)
Epoch: [40][1850/5005] Time 0.203 (0.223) Data 0.041 (0.069) Loss 2.3896 (2.4324) Prec@1 46.094 (45.072) Prec@5 72.656 (70.582)
Epoch: [40][1860/5005] Time 0.199 (0.222) Data 0.056 (0.069) Loss 2.4364 (2.4327) Prec@1 44.922 (45.064) Prec@5 70.703 (70.578)
Epoch: [40][1870/5005] Time 0.209 (0.223) Data 0.052 (0.069) Loss 2.6252 (2.4331) Prec@1 42.969 (45.061) Prec@5 68.359 (70.569)
Epoch: [40][1880/5005] Time 0.208 (0.223) Data 0.044 (0.069) Loss 2.3818 (2.4332) Prec@1 45.312 (45.056) Prec@5 68.750 (70.569)
Epoch: [40][1890/5005] Time 0.205 (0.223) Data 0.049 (0.069) Loss 2.3801 (2.4330) Prec@1 48.438 (45.064) Prec@5 72.266 (70.572)
Epoch: [40][1900/5005] Time 0.194 (0.222) Data 0.060 (0.069) Loss 2.4149 (2.4333) Prec@1 46.875 (45.057) Prec@5 73.047 (70.564)
Epoch: [40][1910/5005] Time 0.207 (0.223) Data 0.061 (0.070) Loss 2.4817 (2.4334) Prec@1 41.406 (45.056) Prec@5 69.922 (70.560)
Epoch: [40][1920/5005] Time 0.207 (0.223) Data 0.047 (0.070) Loss 2.4514 (2.4333) Prec@1 44.531 (45.055) Prec@5 70.703 (70.560)
Epoch: [40][1930/5005] Time 0.206 (0.223) Data 0.048 (0.070) Loss 2.2837 (2.4332) Prec@1 51.172 (45.061) Prec@5 74.219 (70.568)
Epoch: [40][1940/5005] Time 0.203 (0.223) Data 0.044 (0.070) Loss 2.3234 (2.4328) Prec@1 46.484 (45.061) Prec@5 71.484 (70.577)
Epoch: [40][1950/5005] Time 0.272 (0.223) Data 0.189 (0.070) Loss 2.4775 (2.4327) Prec@1 43.750 (45.066) Prec@5 71.484 (70.579)
Epoch: [40][1960/5005] Time 0.216 (0.223) Data 0.051 (0.070) Loss 2.3075 (2.4324) Prec@1 44.141 (45.074) Prec@5 73.438 (70.592)
Epoch: [40][1970/5005] Time 0.206 (0.223) Data 0.045 (0.070) Loss 2.4293 (2.4325) Prec@1 45.703 (45.072) Prec@5 71.094 (70.593)
Epoch: [40][1980/5005] Time 0.198 (0.223) Data 0.049 (0.070) Loss 2.1174 (2.4324) Prec@1 51.953 (45.075) Prec@5 73.438 (70.599)
Epoch: [40][1990/5005] Time 0.220 (0.223) Data 0.133 (0.070) Loss 2.2944 (2.4321) Prec@1 47.656 (45.080) Prec@5 70.703 (70.600)
Epoch: [40][2000/5005] Time 0.204 (0.223) Data 0.095 (0.070) Loss 2.2181 (2.4322) Prec@1 50.391 (45.078) Prec@5 74.219 (70.598)
Epoch: [40][2010/5005] Time 0.203 (0.223) Data 0.051 (0.070) Loss 2.5207 (2.4322) Prec@1 42.969 (45.076) Prec@5 69.141 (70.596)
Epoch: [40][2020/5005] Time 0.206 (0.223) Data 0.042 (0.071) Loss 2.3648 (2.4321) Prec@1 46.484 (45.079) Prec@5 69.141 (70.599)
Epoch: [40][2030/5005] Time 0.203 (0.223) Data 0.046 (0.071) Loss 2.3265 (2.4322) Prec@1 44.531 (45.080) Prec@5 74.609 (70.600)
Epoch: [40][2040/5005] Time 0.376 (0.223) Data 0.291 (0.071) Loss 2.1569 (2.4318) Prec@1 49.219 (45.083) Prec@5 75.781 (70.602)
Epoch: [40][2050/5005] Time 0.201 (0.223) Data 0.046 (0.071) Loss 2.4634 (2.4316) Prec@1 46.094 (45.092) Prec@5 71.094 (70.609)
Epoch: [40][2060/5005] Time 0.210 (0.223) Data 0.051 (0.071) Loss 2.2970 (2.4317) Prec@1 42.188 (45.085) Prec@5 73.828 (70.607)
Epoch: [40][2070/5005] Time 0.201 (0.223) Data 0.050 (0.071) Loss 2.6469 (2.4319) Prec@1 42.578 (45.077) Prec@5 67.578 (70.599)
Epoch: [40][2080/5005] Time 0.262 (0.223) Data 0.182 (0.071) Loss 2.4684 (2.4319) Prec@1 42.578 (45.081) Prec@5 71.484 (70.602)
Epoch: [40][2090/5005] Time 0.196 (0.223) Data 0.049 (0.071) Loss 2.2204 (2.4315) Prec@1 47.656 (45.086) Prec@5 74.609 (70.606)
Epoch: [40][2100/5005] Time 0.200 (0.223) Data 0.049 (0.071) Loss 2.5558 (2.4315) Prec@1 42.578 (45.088) Prec@5 69.922 (70.609)
Epoch: [40][2110/5005] Time 0.201 (0.223) Data 0.047 (0.071) Loss 2.2696 (2.4315) Prec@1 48.047 (45.092) Prec@5 74.219 (70.607)
Epoch: [40][2120/5005] Time 0.213 (0.223) Data 0.055 (0.071) Loss 2.5528 (2.4312) Prec@1 42.969 (45.095) Prec@5 67.578 (70.615)
Epoch: [40][2130/5005] Time 0.210 (0.223) Data 0.040 (0.071) Loss 2.3837 (2.4307) Prec@1 48.047 (45.105) Prec@5 70.312 (70.619)
Epoch: [40][2140/5005] Time 0.207 (0.223) Data 0.040 (0.071) Loss 2.4554 (2.4307) Prec@1 42.578 (45.104) Prec@5 67.969 (70.617)
Epoch: [40][2150/5005] Time 0.392 (0.223) Data 0.309 (0.071) Loss 2.1788 (2.4306) Prec@1 48.828 (45.102) Prec@5 74.219 (70.618)
Epoch: [40][2160/5005] Time 0.204 (0.223) Data 0.053 (0.071) Loss 2.3115 (2.4306) Prec@1 47.266 (45.100) Prec@5 73.438 (70.617)
Epoch: [40][2170/5005] Time 0.817 (0.223) Data 0.731 (0.071) Loss 2.2820 (2.4302) Prec@1 46.875 (45.106) Prec@5 73.828 (70.622)
Epoch: [40][2180/5005] Time 0.194 (0.223) Data 0.063 (0.071) Loss 2.4115 (2.4302) Prec@1 49.219 (45.104) Prec@5 69.922 (70.620)
Epoch: [40][2190/5005] Time 0.200 (0.223) Data 0.046 (0.071) Loss 2.7452 (2.4303) Prec@1 39.453 (45.103) Prec@5 63.281 (70.620)
Epoch: [40][2200/5005] Time 0.201 (0.223) Data 0.050 (0.071) Loss 2.4760 (2.4305) Prec@1 43.750 (45.097) Prec@5 68.750 (70.618)
Epoch: [40][2210/5005] Time 0.466 (0.223) Data 0.384 (0.071) Loss 2.4419 (2.4308) Prec@1 44.922 (45.095) Prec@5 68.750 (70.612)
Epoch: [40][2220/5005] Time 0.197 (0.223) Data 0.048 (0.071) Loss 2.5710 (2.4307) Prec@1 42.188 (45.094) Prec@5 66.797 (70.613)
Epoch: [40][2230/5005] Time 0.200 (0.223) Data 0.044 (0.071) Loss 2.3497 (2.4309) Prec@1 47.266 (45.091) Prec@5 74.219 (70.611)
Epoch: [40][2240/5005] Time 0.217 (0.223) Data 0.040 (0.071) Loss 2.3863 (2.4309) Prec@1 47.656 (45.095) Prec@5 72.266 (70.606)
Epoch: [40][2250/5005] Time 0.198 (0.223) Data 0.044 (0.071) Loss 2.1460 (2.4309) Prec@1 48.828 (45.092) Prec@5 73.828 (70.605)
Epoch: [40][2260/5005] Time 0.203 (0.223) Data 0.044 (0.071) Loss 2.3494 (2.4306) Prec@1 45.703 (45.096) Prec@5 73.438 (70.608)
Epoch: [40][2270/5005] Time 0.199 (0.223) Data 0.044 (0.071) Loss 2.6348 (2.4306) Prec@1 38.281 (45.097) Prec@5 67.578 (70.611)
Epoch: [40][2280/5005] Time 0.196 (0.223) Data 0.055 (0.071) Loss 2.3983 (2.4306) Prec@1 43.750 (45.095) Prec@5 73.828 (70.611)
Epoch: [40][2290/5005] Time 0.201 (0.223) Data 0.048 (0.072) Loss 2.2352 (2.4305) Prec@1 51.953 (45.096) Prec@5 75.391 (70.612)
Epoch: [40][2300/5005] Time 0.204 (0.223) Data 0.040 (0.071) Loss 2.4233 (2.4303) Prec@1 43.359 (45.101) Prec@5 67.969 (70.613)
Epoch: [40][2310/5005] Time 0.196 (0.223) Data 0.045 (0.072) Loss 2.2779 (2.4303) Prec@1 48.438 (45.104) Prec@5 72.266 (70.615)
Epoch: [40][2320/5005] Time 0.203 (0.223) Data 0.041 (0.072) Loss 2.5698 (2.4302) Prec@1 42.578 (45.108) Prec@5 67.969 (70.612)
Epoch: [40][2330/5005] Time 0.202 (0.223) Data 0.040 (0.072) Loss 2.3160 (2.4302) Prec@1 49.609 (45.108) Prec@5 75.000 (70.610)
Epoch: [40][2340/5005] Time 0.198 (0.223) Data 0.066 (0.072) Loss 2.3838 (2.4299) Prec@1 43.359 (45.107) Prec@5 70.703 (70.618)
Epoch: [40][2350/5005] Time 0.204 (0.223) Data 0.040 (0.072) Loss 2.3693 (2.4298) Prec@1 44.531 (45.107) Prec@5 71.875 (70.623)
Epoch: [40][2360/5005] Time 0.192 (0.223) Data 0.063 (0.072) Loss 2.3787 (2.4300) Prec@1 46.094 (45.102) Prec@5 71.484 (70.623)
Epoch: [40][2370/5005] Time 0.198 (0.223) Data 0.059 (0.072) Loss 2.4017 (2.4301) Prec@1 44.922 (45.098) Prec@5 70.312 (70.622)
Epoch: [40][2380/5005] Time 0.213 (0.223) Data 0.042 (0.072) Loss 2.4550 (2.4298) Prec@1 46.875 (45.106) Prec@5 70.312 (70.626)
Epoch: [40][2390/5005] Time 0.211 (0.223) Data 0.042 (0.072) Loss 2.4361 (2.4297) Prec@1 44.922 (45.111) Prec@5 71.875 (70.625)
Epoch: [40][2400/5005] Time 0.206 (0.223) Data 0.058 (0.072) Loss 2.4274 (2.4297) Prec@1 43.750 (45.108) Prec@5 69.922 (70.621)
Epoch: [40][2410/5005] Time 0.195 (0.223) Data 0.048 (0.072) Loss 2.5998 (2.4298) Prec@1 42.188 (45.107) Prec@5 68.359 (70.623)
Epoch: [40][2420/5005] Time 0.208 (0.223) Data 0.050 (0.072) Loss 2.4865 (2.4297) Prec@1 44.141 (45.114) Prec@5 69.141 (70.628)
Epoch: [40][2430/5005] Time 0.244 (0.223) Data 0.154 (0.072) Loss 2.2311 (2.4297) Prec@1 48.047 (45.111) Prec@5 73.438 (70.626)
Epoch: [40][2440/5005] Time 0.208 (0.223) Data 0.046 (0.072) Loss 2.2199 (2.4296) Prec@1 47.656 (45.116) Prec@5 75.391 (70.626)
Epoch: [40][2450/5005] Time 0.200 (0.223) Data 0.041 (0.072) Loss 2.3107 (2.4294) Prec@1 46.875 (45.122) Prec@5 70.703 (70.630)
Epoch: [40][2460/5005] Time 0.201 (0.223) Data 0.049 (0.072) Loss 2.3931 (2.4293) Prec@1 48.438 (45.125) Prec@5 68.750 (70.627)
Epoch: [40][2470/5005] Time 0.202 (0.223) Data 0.043 (0.072) Loss 2.3107 (2.4292) Prec@1 48.828 (45.129) Prec@5 70.703 (70.631)
Epoch: [40][2480/5005] Time 0.206 (0.223) Data 0.044 (0.072) Loss 2.3703 (2.4293) Prec@1 45.312 (45.129) Prec@5 70.312 (70.628)
Epoch: [40][2490/5005] Time 0.203 (0.223) Data 0.039 (0.072) Loss 2.2504 (2.4295) Prec@1 48.047 (45.127) Prec@5 75.391 (70.626)
Epoch: [40][2500/5005] Time 0.207 (0.223) Data 0.081 (0.072) Loss 2.4986 (2.4294) Prec@1 47.656 (45.130) Prec@5 67.578 (70.625)
Epoch: [40][2510/5005] Time 0.201 (0.223) Data 0.046 (0.072) Loss 2.5287 (2.4294) Prec@1 41.406 (45.128) Prec@5 70.703 (70.628)
Epoch: [40][2520/5005] Time 0.194 (0.223) Data 0.042 (0.072) Loss 2.2233 (2.4293) Prec@1 47.656 (45.130) Prec@5 74.219 (70.631)
Epoch: [40][2530/5005] Time 0.212 (0.223) Data 0.043 (0.072) Loss 2.4801 (2.4294) Prec@1 44.922 (45.126) Prec@5 68.750 (70.627)
Epoch: [40][2540/5005] Time 0.213 (0.223) Data 0.048 (0.072) Loss 2.3240 (2.4293) Prec@1 50.000 (45.128) Prec@5 69.922 (70.624)
Epoch: [40][2550/5005] Time 0.214 (0.223) Data 0.042 (0.072) Loss 2.4474 (2.4294) Prec@1 42.188 (45.127) Prec@5 71.484 (70.626)
Epoch: [40][2560/5005] Time 0.210 (0.223) Data 0.042 (0.072) Loss 2.6027 (2.4295) Prec@1 41.797 (45.127) Prec@5 65.625 (70.624)
Epoch: [40][2570/5005] Time 0.215 (0.223) Data 0.041 (0.072) Loss 2.4499 (2.4298) Prec@1 41.016 (45.120) Prec@5 71.484 (70.622)
Epoch: [40][2580/5005] Time 0.199 (0.223) Data 0.052 (0.072) Loss 2.5314 (2.4299) Prec@1 40.234 (45.118) Prec@5 66.406 (70.617)
Epoch: [40][2590/5005] Time 0.208 (0.223) Data 0.043 (0.072) Loss 2.6455 (2.4298) Prec@1 40.234 (45.123) Prec@5 67.578 (70.615)
Epoch: [40][2600/5005] Time 0.209 (0.223) Data 0.047 (0.072) Loss 2.3995 (2.4300) Prec@1 47.656 (45.120) Prec@5 73.438 (70.612)
Epoch: [40][2610/5005] Time 0.203 (0.223) Data 0.040 (0.072) Loss 2.6029 (2.4298) Prec@1 44.141 (45.126) Prec@5 65.234 (70.613)
Epoch: [40][2620/5005] Time 0.202 (0.223) Data 0.039 (0.072) Loss 2.3876 (2.4299) Prec@1 42.969 (45.125) Prec@5 70.703 (70.611)
Epoch: [40][2630/5005] Time 0.183 (0.223) Data 0.064 (0.073) Loss 2.6348 (2.4302) Prec@1 43.359 (45.122) Prec@5 68.359 (70.606)
Epoch: [40][2640/5005] Time 0.328 (0.223) Data 0.245 (0.073) Loss 2.6867 (2.4301) Prec@1 37.891 (45.123) Prec@5 64.062 (70.604)
Epoch: [40][2650/5005] Time 0.204 (0.223) Data 0.044 (0.073) Loss 2.6025 (2.4301) Prec@1 40.234 (45.122) Prec@5 66.797 (70.601)
Epoch: [40][2660/5005] Time 0.203 (0.223) Data 0.045 (0.073) Loss 2.4131 (2.4300) Prec@1 45.703 (45.122) Prec@5 71.484 (70.604)
Epoch: [40][2670/5005] Time 0.287 (0.223) Data 0.195 (0.073) Loss 2.1199 (2.4297) Prec@1 47.656 (45.131) Prec@5 75.781 (70.608)
Epoch: [40][2680/5005] Time 0.198 (0.223) Data 0.043 (0.073) Loss 2.3142 (2.4297) Prec@1 51.562 (45.132) Prec@5 72.266 (70.607)
Epoch: [40][2690/5005] Time 0.200 (0.223) Data 0.040 (0.073) Loss 2.3127 (2.4295) Prec@1 49.219 (45.135) Prec@5 73.047 (70.610)
Epoch: [40][2700/5005] Time 0.234 (0.223) Data 0.143 (0.073) Loss 2.3075 (2.4296) Prec@1 44.531 (45.130) Prec@5 72.656 (70.610)
Epoch: [40][2710/5005] Time 0.207 (0.223) Data 0.047 (0.073) Loss 2.1405 (2.4297) Prec@1 50.781 (45.126) Prec@5 73.438 (70.608)
Epoch: [40][2720/5005] Time 0.200 (0.223) Data 0.051 (0.073) Loss 2.2655 (2.4296) Prec@1 51.953 (45.132) Prec@5 73.438 (70.611)
Epoch: [40][2730/5005] Time 0.204 (0.223) Data 0.047 (0.073) Loss 2.4826 (2.4295) Prec@1 44.141 (45.132) Prec@5 71.094 (70.614)
Epoch: [40][2740/5005] Time 0.209 (0.223) Data 0.044 (0.073) Loss 2.3027 (2.4294) Prec@1 46.875 (45.133) Prec@5 72.656 (70.613)
Epoch: [40][2750/5005] Time 0.200 (0.224) Data 0.039 (0.073) Loss 2.3718 (2.4294) Prec@1 42.969 (45.133) Prec@5 70.312 (70.613)
Epoch: [40][2760/5005] Time 0.201 (0.224) Data 0.051 (0.073) Loss 2.4456 (2.4292) Prec@1 43.750 (45.132) Prec@5 71.875 (70.615)
Epoch: [40][2770/5005] Time 0.199 (0.224) Data 0.049 (0.073) Loss 2.4509 (2.4293) Prec@1 45.312 (45.132) Prec@5 72.266 (70.616)
Epoch: [40][2780/5005] Time 0.195 (0.224) Data 0.105 (0.073) Loss 2.7401 (2.4293) Prec@1 37.500 (45.133) Prec@5 66.797 (70.614)
Epoch: [40][2790/5005] Time 0.215 (0.224) Data 0.047 (0.073) Loss 2.7982 (2.4295) Prec@1 36.719 (45.133) Prec@5 66.406 (70.611)
Epoch: [40][2800/5005] Time 0.195 (0.224) Data 0.049 (0.073) Loss 2.1568 (2.4295) Prec@1 50.000 (45.134) Prec@5 77.344 (70.613)
Epoch: [40][2810/5005] Time 0.199 (0.224) Data 0.089 (0.073) Loss 2.6249 (2.4295) Prec@1 44.141 (45.133) Prec@5 65.234 (70.614)
Epoch: [40][2820/5005] Time 0.210 (0.224) Data 0.046 (0.074) Loss 2.0927 (2.4294) Prec@1 46.094 (45.133) Prec@5 76.953 (70.616)
Epoch: [40][2830/5005] Time 0.210 (0.224) Data 0.045 (0.074) Loss 2.6902 (2.4295) Prec@1 40.234 (45.131) Prec@5 64.453 (70.615)
Epoch: [40][2840/5005] Time 0.207 (0.224) Data 0.050 (0.074) Loss 2.5294 (2.4296) Prec@1 41.016 (45.128) Prec@5 70.312 (70.614)
Epoch: [40][2850/5005] Time 0.207 (0.224) Data 0.040 (0.074) Loss 2.4285 (2.4296) Prec@1 46.484 (45.128) Prec@5 67.969 (70.615)
Epoch: [40][2860/5005] Time 0.202 (0.224) Data 0.047 (0.074) Loss 2.5013 (2.4298) Prec@1 44.141 (45.129) Prec@5 69.922 (70.616)
Epoch: [40][2870/5005] Time 0.196 (0.224) Data 0.062 (0.074) Loss 2.3260 (2.4294) Prec@1 48.828 (45.138) Prec@5 72.266 (70.624)
Epoch: [40][2880/5005] Time 0.200 (0.224) Data 0.040 (0.074) Loss 2.4116 (2.4293) Prec@1 43.359 (45.139) Prec@5 70.703 (70.624)
Epoch: [40][2890/5005] Time 0.209 (0.224) Data 0.046 (0.074) Loss 2.4769 (2.4292) Prec@1 42.188 (45.143) Prec@5 66.406 (70.625)
Epoch: [40][2900/5005] Time 0.195 (0.224) Data 0.056 (0.074) Loss 2.1629 (2.4288) Prec@1 48.047 (45.149) Prec@5 75.391 (70.634)
Epoch: [40][2910/5005] Time 0.203 (0.224) Data 0.049 (0.074) Loss 2.3503 (2.4289) Prec@1 47.266 (45.148) Prec@5 72.266 (70.632)
Epoch: [40][2920/5005] Time 0.208 (0.224) Data 0.040 (0.074) Loss 2.5752 (2.4290) Prec@1 41.016 (45.150) Prec@5 67.188 (70.633)
Epoch: [40][2930/5005] Time 0.251 (0.224) Data 0.167 (0.074) Loss 2.6755 (2.4292) Prec@1 42.969 (45.147) Prec@5 68.750 (70.632)
Epoch: [40][2940/5005] Time 0.203 (0.224) Data 0.047 (0.074) Loss 2.4760 (2.4289) Prec@1 43.750 (45.152) Prec@5 70.312 (70.639)
Epoch: [40][2950/5005] Time 0.206 (0.224) Data 0.055 (0.074) Loss 2.7186 (2.4288) Prec@1 39.844 (45.154) Prec@5 66.016 (70.644)
Epoch: [40][2960/5005] Time 0.197 (0.224) Data 0.058 (0.074) Loss 2.2824 (2.4286) Prec@1 46.094 (45.161) Prec@5 71.094 (70.648)
Epoch: [40][2970/5005] Time 0.214 (0.224) Data 0.055 (0.074) Loss 2.4291 (2.4285) Prec@1 42.188 (45.160) Prec@5 72.656 (70.650)
Epoch: [40][2980/5005] Time 0.216 (0.224) Data 0.130 (0.074) Loss 2.4467 (2.4285) Prec@1 44.141 (45.160) Prec@5 73.438 (70.649)
Epoch: [40][2990/5005] Time 0.199 (0.224) Data 0.044 (0.074) Loss 2.3042 (2.4284) Prec@1 48.828 (45.163) Prec@5 73.438 (70.650)
Epoch: [40][3000/5005] Time 0.204 (0.224) Data 0.049 (0.074) Loss 2.4855 (2.4283) Prec@1 42.969 (45.161) Prec@5 73.047 (70.652)
Epoch: [40][3010/5005] Time 0.454 (0.224) Data 0.376 (0.074) Loss 2.3601 (2.4284) Prec@1 45.703 (45.156) Prec@5 73.047 (70.649)
Epoch: [40][3020/5005] Time 0.206 (0.224) Data 0.050 (0.074) Loss 2.3606 (2.4286) Prec@1 44.531 (45.151) Prec@5 71.094 (70.646)
Epoch: [40][3030/5005] Time 0.206 (0.224) Data 0.047 (0.074) Loss 2.5052 (2.4287) Prec@1 46.484 (45.150) Prec@5 70.703 (70.646)
Epoch: [40][3040/5005] Time 0.206 (0.224) Data 0.040 (0.074) Loss 2.3949 (2.4285) Prec@1 45.312 (45.155) Prec@5 69.922 (70.650)
Epoch: [40][3050/5005] Time 0.207 (0.224) Data 0.044 (0.074) Loss 2.2587 (2.4285) Prec@1 46.484 (45.156) Prec@5 75.781 (70.653)
Epoch: [40][3060/5005] Time 0.202 (0.224) Data 0.045 (0.074) Loss 2.3359 (2.4283) Prec@1 50.391 (45.157) Prec@5 71.094 (70.657)
Epoch: [40][3070/5005] Time 0.196 (0.224) Data 0.058 (0.074) Loss 2.3329 (2.4284) Prec@1 45.703 (45.158) Prec@5 72.656 (70.656)
Epoch: [40][3080/5005] Time 0.196 (0.224) Data 0.059 (0.074) Loss 2.4222 (2.4284) Prec@1 44.141 (45.160) Prec@5 69.531 (70.655)
Epoch: [40][3090/5005] Time 0.213 (0.224) Data 0.040 (0.074) Loss 2.7103 (2.4283) Prec@1 36.719 (45.159) Prec@5 64.844 (70.653)
Epoch: [40][3100/5005] Time 0.418 (0.224) Data 0.331 (0.074) Loss 2.4716 (2.4284) Prec@1 46.484 (45.157) Prec@5 69.531 (70.653)
Epoch: [40][3110/5005] Time 0.199 (0.224) Data 0.104 (0.074) Loss 2.2750 (2.4282) Prec@1 49.219 (45.161) Prec@5 76.562 (70.657)
Epoch: [40][3120/5005] Time 0.193 (0.224) Data 0.100 (0.074) Loss 2.3656 (2.4281) Prec@1 48.438 (45.163) Prec@5 69.922 (70.657)
Epoch: [40][3130/5005] Time 0.196 (0.224) Data 0.045 (0.075) Loss 2.3885 (2.4279) Prec@1 43.750 (45.166) Prec@5 69.922 (70.662)
Epoch: [40][3140/5005] Time 0.201 (0.224) Data 0.049 (0.075) Loss 2.2101 (2.4278) Prec@1 49.609 (45.171) Prec@5 73.047 (70.664)
Epoch: [40][3150/5005] Time 0.322 (0.224) Data 0.235 (0.075) Loss 2.3165 (2.4276) Prec@1 46.094 (45.176) Prec@5 72.656 (70.663)
Epoch: [40][3160/5005] Time 0.201 (0.224) Data 0.088 (0.075) Loss 2.3259 (2.4275) Prec@1 47.266 (45.180) Prec@5 73.828 (70.666)
Epoch: [40][3170/5005] Time 0.201 (0.224) Data 0.047 (0.075) Loss 2.3975 (2.4276) Prec@1 42.578 (45.180) Prec@5 71.484 (70.667)
Epoch: [40][3180/5005] Time 0.209 (0.224) Data 0.040 (0.075) Loss 2.2019 (2.4276) Prec@1 50.781 (45.179) Prec@5 75.781 (70.667)
Epoch: [40][3190/5005] Time 0.360 (0.224) Data 0.276 (0.075) Loss 2.4434 (2.4277) Prec@1 46.094 (45.178) Prec@5 67.969 (70.666)
Epoch: [40][3200/5005] Time 0.306 (0.224) Data 0.212 (0.075) Loss 2.5311 (2.4277) Prec@1 40.625 (45.182) Prec@5 68.359 (70.665)
Epoch: [40][3210/5005] Time 0.209 (0.224) Data 0.046 (0.075) Loss 2.6069 (2.4277) Prec@1 45.312 (45.190) Prec@5 68.359 (70.667)
Epoch: [40][3220/5005] Time 0.198 (0.224) Data 0.043 (0.075) Loss 2.5739 (2.4277) Prec@1 46.094 (45.195) Prec@5 69.922 (70.667)
Epoch: [40][3230/5005] Time 0.203 (0.224) Data 0.087 (0.075) Loss 2.3548 (2.4276) Prec@1 46.484 (45.194) Prec@5 70.312 (70.666)
Epoch: [40][3240/5005] Time 0.207 (0.224) Data 0.040 (0.075) Loss 2.6715 (2.4278) Prec@1 42.188 (45.190) Prec@5 66.797 (70.662)
Epoch: [40][3250/5005] Time 0.196 (0.224) Data 0.045 (0.075) Loss 2.4212 (2.4279) Prec@1 44.922 (45.188) Prec@5 72.266 (70.661)
Epoch: [40][3260/5005] Time 0.200 (0.224) Data 0.060 (0.075) Loss 2.3567 (2.4279) Prec@1 49.219 (45.188) Prec@5 69.141 (70.660)
Epoch: [40][3270/5005] Time 0.195 (0.224) Data 0.052 (0.075) Loss 2.5299 (2.4277) Prec@1 46.875 (45.191) Prec@5 68.750 (70.664)
Epoch: [40][3280/5005] Time 0.203 (0.224) Data 0.043 (0.075) Loss 2.3287 (2.4278) Prec@1 48.047 (45.189) Prec@5 73.438 (70.663)
Epoch: [40][3290/5005] Time 0.209 (0.224) Data 0.054 (0.075) Loss 2.3614 (2.4278) Prec@1 47.656 (45.189) Prec@5 73.828 (70.665)
Epoch: [40][3300/5005] Time 0.202 (0.224) Data 0.040 (0.075) Loss 2.3656 (2.4277) Prec@1 44.531 (45.191) Prec@5 70.703 (70.665)
Epoch: [40][3310/5005] Time 0.203 (0.224) Data 0.041 (0.075) Loss 2.3316 (2.4276) Prec@1 44.531 (45.195) Prec@5 73.047 (70.667)
Epoch: [40][3320/5005] Time 0.196 (0.224) Data 0.044 (0.075) Loss 2.4069 (2.4276) Prec@1 46.484 (45.199) Prec@5 70.703 (70.667)
Epoch: [40][3330/5005] Time 0.192 (0.224) Data 0.050 (0.075) Loss 2.4556 (2.4276) Prec@1 47.266 (45.198) Prec@5 69.141 (70.669)
Epoch: [40][3340/5005] Time 0.207 (0.224) Data 0.048 (0.075) Loss 2.4899 (2.4276) Prec@1 40.625 (45.200) Prec@5 68.750 (70.670)
Epoch: [40][3350/5005] Time 0.204 (0.224) Data 0.045 (0.075) Loss 2.4834 (2.4275) Prec@1 45.703 (45.202) Prec@5 70.312 (70.672)
Epoch: [40][3360/5005] Time 0.206 (0.224) Data 0.040 (0.075) Loss 2.2761 (2.4274) Prec@1 50.000 (45.203) Prec@5 75.391 (70.672)
Epoch: [40][3370/5005] Time 0.199 (0.224) Data 0.045 (0.075) Loss 2.5645 (2.4276) Prec@1 40.234 (45.201) Prec@5 70.312 (70.668)
Epoch: [40][3380/5005] Time 0.217 (0.224) Data 0.044 (0.075) Loss 2.3870 (2.4274) Prec@1 45.703 (45.204) Prec@5 73.047 (70.673)
Epoch: [40][3390/5005] Time 0.204 (0.224) Data 0.050 (0.075) Loss 2.3380 (2.4274) Prec@1 46.094 (45.201) Prec@5 71.094 (70.673)
Epoch: [40][3400/5005] Time 0.200 (0.224) Data 0.049 (0.075) Loss 2.2903 (2.4275) Prec@1 47.266 (45.202) Prec@5 74.219 (70.674)
Epoch: [40][3410/5005] Time 0.345 (0.224) Data 0.256 (0.075) Loss 2.4032 (2.4273) Prec@1 47.656 (45.205) Prec@5 71.875 (70.680)
Epoch: [40][3420/5005] Time 0.198 (0.224) Data 0.054 (0.075) Loss 2.4831 (2.4273) Prec@1 43.750 (45.205) Prec@5 67.969 (70.680)
Epoch: [40][3430/5005] Time 0.194 (0.224) Data 0.053 (0.075) Loss 2.4451 (2.4273) Prec@1 45.312 (45.203) Prec@5 67.578 (70.680)
Epoch: [40][3440/5005] Time 0.213 (0.224) Data 0.045 (0.075) Loss 2.3679 (2.4272) Prec@1 44.141 (45.204) Prec@5 69.531 (70.679)
Epoch: [40][3450/5005] Time 0.934 (0.224) Data 0.842 (0.076) Loss 2.3182 (2.4271) Prec@1 44.531 (45.204) Prec@5 71.484 (70.681)
Epoch: [40][3460/5005] Time 0.202 (0.224) Data 0.045 (0.076) Loss 2.4618 (2.4273) Prec@1 46.875 (45.205) Prec@5 70.703 (70.677)
Epoch: [40][3470/5005] Time 0.204 (0.224) Data 0.040 (0.076) Loss 2.2931 (2.4271) Prec@1 46.875 (45.211) Prec@5 74.219 (70.679)
Epoch: [40][3480/5005] Time 0.347 (0.224) Data 0.254 (0.076) Loss 2.4121 (2.4268) Prec@1 44.141 (45.214) Prec@5 71.094 (70.682)
Epoch: [40][3490/5005] Time 0.200 (0.224) Data 0.047 (0.076) Loss 2.5843 (2.4269) Prec@1 37.500 (45.214) Prec@5 66.406 (70.683)
Epoch: [40][3500/5005] Time 0.204 (0.224) Data 0.047 (0.076) Loss 2.4539 (2.4269) Prec@1 43.750 (45.214) Prec@5 71.875 (70.682)
Epoch: [40][3510/5005] Time 0.203 (0.224) Data 0.118 (0.076) Loss 2.2118 (2.4267) Prec@1 48.438 (45.214) Prec@5 75.391 (70.683)
Epoch: [40][3520/5005] Time 0.199 (0.224) Data 0.046 (0.076) Loss 2.6587 (2.4269) Prec@1 42.188 (45.211) Prec@5 66.406 (70.682)
Epoch: [40][3530/5005] Time 0.199 (0.224) Data 0.041 (0.076) Loss 2.4190 (2.4267) Prec@1 43.750 (45.216) Prec@5 73.828 (70.684)
Epoch: [40][3540/5005] Time 0.210 (0.224) Data 0.050 (0.076) Loss 2.3911 (2.4265) Prec@1 46.875 (45.219) Prec@5 72.266 (70.689)
Epoch: [40][3550/5005] Time 0.202 (0.224) Data 0.039 (0.076) Loss 2.4364 (2.4263) Prec@1 43.750 (45.221) Prec@5 71.875 (70.694)
Epoch: [40][3560/5005] Time 0.205 (0.224) Data 0.039 (0.076) Loss 2.6225 (2.4262) Prec@1 39.062 (45.222) Prec@5 64.453 (70.697)
Epoch: [40][3570/5005] Time 0.260 (0.224) Data 0.179 (0.076) Loss 2.5683 (2.4262) Prec@1 44.141 (45.220) Prec@5 67.188 (70.697)
Epoch: [40][3580/5005] Time 0.257 (0.224) Data 0.172 (0.076) Loss 2.3934 (2.4262) Prec@1 44.922 (45.219) Prec@5 67.578 (70.696)
Epoch: [40][3590/5005] Time 0.261 (0.224) Data 0.167 (0.076) Loss 2.3862 (2.4259) Prec@1 43.750 (45.223) Prec@5 68.750 (70.700)
Epoch: [40][3600/5005] Time 0.196 (0.224) Data 0.047 (0.076) Loss 2.4033 (2.4257) Prec@1 51.172 (45.229) Prec@5 69.141 (70.702)
Epoch: [40][3610/5005] Time 0.209 (0.224) Data 0.044 (0.076) Loss 2.2868 (2.4257) Prec@1 51.562 (45.233) Prec@5 72.266 (70.700)
Epoch: [40][3620/5005] Time 0.197 (0.224) Data 0.046 (0.076) Loss 2.5531 (2.4254) Prec@1 45.312 (45.241) Prec@5 67.578 (70.703)
Epoch: [40][3630/5005] Time 0.210 (0.224) Data 0.043 (0.076) Loss 2.6147 (2.4253) Prec@1 39.844 (45.242) Prec@5 63.672 (70.705)
Epoch: [40][3640/5005] Time 0.209 (0.224) Data 0.040 (0.076) Loss 2.4362 (2.4253) Prec@1 46.094 (45.241) Prec@5 68.750 (70.706)
Epoch: [40][3650/5005] Time 0.206 (0.224) Data 0.052 (0.076) Loss 2.3972 (2.4253) Prec@1 44.141 (45.241) Prec@5 71.875 (70.707)
Epoch: [40][3660/5005] Time 0.197 (0.224) Data 0.047 (0.076) Loss 2.5957 (2.4252) Prec@1 39.844 (45.240) Prec@5 66.797 (70.708)
Epoch: [40][3670/5005] Time 0.202 (0.224) Data 0.041 (0.076) Loss 2.5980 (2.4254) Prec@1 44.531 (45.238) Prec@5 68.750 (70.706)
Epoch: [40][3680/5005] Time 0.260 (0.224) Data 0.173 (0.076) Loss 2.3200 (2.4255) Prec@1 46.484 (45.240) Prec@5 73.828 (70.705)
Epoch: [40][3690/5005] Time 0.199 (0.224) Data 0.048 (0.076) Loss 2.3092 (2.4254) Prec@1 42.969 (45.241) Prec@5 73.438 (70.708)
Epoch: [40][3700/5005] Time 0.202 (0.224) Data 0.044 (0.076) Loss 2.4587 (2.4254) Prec@1 43.359 (45.240) Prec@5 70.312 (70.706)
Epoch: [40][3710/5005] Time 0.200 (0.224) Data 0.046 (0.076) Loss 2.2641 (2.4254) Prec@1 50.781 (45.240) Prec@5 73.828 (70.706)
Epoch: [40][3720/5005] Time 0.201 (0.224) Data 0.086 (0.076) Loss 2.6746 (2.4254) Prec@1 44.531 (45.239) Prec@5 70.703 (70.706)
Epoch: [40][3730/5005] Time 0.208 (0.224) Data 0.049 (0.076) Loss 2.4014 (2.4253) Prec@1 44.531 (45.241) Prec@5 69.922 (70.708)
Epoch: [40][3740/5005] Time 0.271 (0.224) Data 0.184 (0.076) Loss 2.3817 (2.4250) Prec@1 43.750 (45.248) Prec@5 74.609 (70.713)
Epoch: [40][3750/5005] Time 0.211 (0.224) Data 0.042 (0.076) Loss 2.2656 (2.4251) Prec@1 46.484 (45.244) Prec@5 71.094 (70.710)
Epoch: [40][3760/5005] Time 0.207 (0.224) Data 0.058 (0.076) Loss 2.4702 (2.4252) Prec@1 43.359 (45.241) Prec@5 69.531 (70.709)
Epoch: [40][3770/5005] Time 0.206 (0.224) Data 0.049 (0.076) Loss 2.3940 (2.4250) Prec@1 45.703 (45.243) Prec@5 70.703 (70.710)
Epoch: [40][3780/5005] Time 0.210 (0.224) Data 0.042 (0.076) Loss 2.3737 (2.4249) Prec@1 48.438 (45.248) Prec@5 73.438 (70.711)
Epoch: [40][3790/5005] Time 0.208 (0.224) Data 0.043 (0.076) Loss 2.6817 (2.4250) Prec@1 41.406 (45.244) Prec@5 65.625 (70.709)
Epoch: [40][3800/5005] Time 0.202 (0.224) Data 0.051 (0.076) Loss 2.3124 (2.4252) Prec@1 46.875 (45.243) Prec@5 71.094 (70.705)
Epoch: [40][3810/5005] Time 0.205 (0.224) Data 0.048 (0.076) Loss 2.3755 (2.4252) Prec@1 49.609 (45.244) Prec@5 71.094 (70.704)
Epoch: [40][3820/5005] Time 0.205 (0.224) Data 0.041 (0.077) Loss 2.2385 (2.4250) Prec@1 50.000 (45.244) Prec@5 72.266 (70.708)
Epoch: [40][3830/5005] Time 0.511 (0.224) Data 0.425 (0.077) Loss 2.4155 (2.4248) Prec@1 46.094 (45.246) Prec@5 70.703 (70.711)
Epoch: [40][3840/5005] Time 0.198 (0.224) Data 0.046 (0.077) Loss 2.6864 (2.4249) Prec@1 39.453 (45.242) Prec@5 63.281 (70.706)
Epoch: [40][3850/5005] Time 0.210 (0.224) Data 0.047 (0.077) Loss 2.5109 (2.4249) Prec@1 42.188 (45.238) Prec@5 69.922 (70.706)
Epoch: [40][3860/5005] Time 0.204 (0.224) Data 0.045 (0.077) Loss 2.2345 (2.4249) Prec@1 51.562 (45.240) Prec@5 74.219 (70.707)
Epoch: [40][3870/5005] Time 0.202 (0.224) Data 0.040 (0.077) Loss 2.4758 (2.4249) Prec@1 42.188 (45.235) Prec@5 68.359 (70.702)
Epoch: [40][3880/5005] Time 0.293 (0.224) Data 0.204 (0.077) Loss 2.3181 (2.4249) Prec@1 46.484 (45.237) Prec@5 73.438 (70.703)
Epoch: [40][3890/5005] Time 0.200 (0.224) Data 0.049 (0.077) Loss 2.6201 (2.4249) Prec@1 42.578 (45.237) Prec@5 66.406 (70.704)
Epoch: [40][3900/5005] Time 0.198 (0.224) Data 0.043 (0.077) Loss 2.7023 (2.4249) Prec@1 40.625 (45.235) Prec@5 66.406 (70.705)
Epoch: [40][3910/5005] Time 0.519 (0.225) Data 0.431 (0.077) Loss 2.4400 (2.4248) Prec@1 44.141 (45.237) Prec@5 69.141 (70.707)
Epoch: [40][3920/5005] Time 0.196 (0.224) Data 0.062 (0.077) Loss 2.5129 (2.4249) Prec@1 46.094 (45.238) Prec@5 67.969 (70.705)
Epoch: [40][3930/5005] Time 0.295 (0.225) Data 0.208 (0.077) Loss 2.3354 (2.4247) Prec@1 42.969 (45.237) Prec@5 69.141 (70.708)
Epoch: [40][3940/5005] Time 0.205 (0.224) Data 0.045 (0.077) Loss 2.4039 (2.4247) Prec@1 45.312 (45.236) Prec@5 69.141 (70.708)
Epoch: [40][3950/5005] Time 0.230 (0.224) Data 0.147 (0.077) Loss 2.4105 (2.4245) Prec@1 48.828 (45.240) Prec@5 71.875 (70.713)
Epoch: [40][3960/5005] Time 0.199 (0.224) Data 0.114 (0.077) Loss 2.3825 (2.4245) Prec@1 47.266 (45.240) Prec@5 75.391 (70.714)
Epoch: [40][3970/5005] Time 0.211 (0.224) Data 0.043 (0.077) Loss 2.3879 (2.4245) Prec@1 45.312 (45.242) Prec@5 71.484 (70.714)
Epoch: [40][3980/5005] Time 0.207 (0.224) Data 0.046 (0.077) Loss 2.2611 (2.4244) Prec@1 44.531 (45.242) Prec@5 72.656 (70.715)
Epoch: [40][3990/5005] Time 0.235 (0.224) Data 0.148 (0.077) Loss 2.7245 (2.4245) Prec@1 40.234 (45.238) Prec@5 67.188 (70.714)
Epoch: [40][4000/5005] Time 0.215 (0.224) Data 0.049 (0.077) Loss 2.3252 (2.4245) Prec@1 46.484 (45.240) Prec@5 71.875 (70.713)
Epoch: [40][4010/5005] Time 0.199 (0.224) Data 0.050 (0.077) Loss 2.5504 (2.4243) Prec@1 40.234 (45.243) Prec@5 70.312 (70.715)
Epoch: [40][4020/5005] Time 0.204 (0.224) Data 0.093 (0.077) Loss 2.5173 (2.4243) Prec@1 44.531 (45.241) Prec@5 68.359 (70.712)
Epoch: [40][4030/5005] Time 0.208 (0.224) Data 0.045 (0.077) Loss 2.5627 (2.4245) Prec@1 43.750 (45.239) Prec@5 69.141 (70.706)
Epoch: [40][4040/5005] Time 0.204 (0.224) Data 0.057 (0.077) Loss 2.3925 (2.4246) Prec@1 46.094 (45.237) Prec@5 67.188 (70.707)
Epoch: [40][4050/5005] Time 0.194 (0.224) Data 0.059 (0.077) Loss 2.7176 (2.4246) Prec@1 41.016 (45.239) Prec@5 64.844 (70.707)
Epoch: [40][4060/5005] Time 0.204 (0.224) Data 0.046 (0.077) Loss 2.3733 (2.4245) Prec@1 44.922 (45.241) Prec@5 68.359 (70.705)
Epoch: [40][4070/5005] Time 0.197 (0.224) Data 0.045 (0.077) Loss 2.4090 (2.4245) Prec@1 46.484 (45.240) Prec@5 71.875 (70.706)
Epoch: [40][4080/5005] Time 0.207 (0.225) Data 0.051 (0.077) Loss 2.3926 (2.4245) Prec@1 46.484 (45.243) Prec@5 70.312 (70.705)
Epoch: [40][4090/5005] Time 0.208 (0.224) Data 0.054 (0.077) Loss 2.6172 (2.4245) Prec@1 44.141 (45.243) Prec@5 67.578 (70.704)
Epoch: [40][4100/5005] Time 0.214 (0.224) Data 0.046 (0.077) Loss 2.3879 (2.4245) Prec@1 43.359 (45.242) Prec@5 70.312 (70.703)
Epoch: [40][4110/5005] Time 0.205 (0.224) Data 0.041 (0.077) Loss 2.6058 (2.4246) Prec@1 42.578 (45.241) Prec@5 66.016 (70.702)
Epoch: [40][4120/5005] Time 0.209 (0.224) Data 0.049 (0.077) Loss 2.4504 (2.4245) Prec@1 46.094 (45.242) Prec@5 68.750 (70.703)
Epoch: [40][4130/5005] Time 0.209 (0.224) Data 0.051 (0.077) Loss 2.5940 (2.4245) Prec@1 39.844 (45.242) Prec@5 67.188 (70.705)
Epoch: [40][4140/5005] Time 0.210 (0.224) Data 0.046 (0.077) Loss 2.4190 (2.4244) Prec@1 44.922 (45.244) Prec@5 70.703 (70.705)
Epoch: [40][4150/5005] Time 0.198 (0.224) Data 0.041 (0.077) Loss 2.6647 (2.4245) Prec@1 43.359 (45.241) Prec@5 67.969 (70.704)
Epoch: [40][4160/5005] Time 0.211 (0.224) Data 0.045 (0.077) Loss 2.3347 (2.4246) Prec@1 46.484 (45.238) Prec@5 72.266 (70.702)
Epoch: [40][4170/5005] Time 0.199 (0.224) Data 0.045 (0.077) Loss 2.2883 (2.4245) Prec@1 44.141 (45.240) Prec@5 75.781 (70.705)
Epoch: [40][4180/5005] Time 0.210 (0.224) Data 0.045 (0.077) Loss 2.3559 (2.4245) Prec@1 48.438 (45.240) Prec@5 69.141 (70.704)
Epoch: [40][4190/5005] Time 0.214 (0.224) Data 0.051 (0.077) Loss 2.2740 (2.4245) Prec@1 48.047 (45.240) Prec@5 71.875 (70.705)
Epoch: [40][4200/5005] Time 0.200 (0.224) Data 0.120 (0.077) Loss 2.4018 (2.4245) Prec@1 44.141 (45.240) Prec@5 67.578 (70.703)
Epoch: [40][4210/5005] Time 0.359 (0.225) Data 0.269 (0.077) Loss 2.2460 (2.4243) Prec@1 49.609 (45.244) Prec@5 74.609 (70.704)
Epoch: [40][4220/5005] Time 0.192 (0.224) Data 0.049 (0.077) Loss 2.6570 (2.4245) Prec@1 43.359 (45.241) Prec@5 66.797 (70.702)
Epoch: [40][4230/5005] Time 0.236 (0.224) Data 0.147 (0.077) Loss 2.5950 (2.4246) Prec@1 43.750 (45.240) Prec@5 67.578 (70.701)
Epoch: [40][4240/5005] Time 0.201 (0.224) Data 0.041 (0.077) Loss 2.3066 (2.4246) Prec@1 45.312 (45.239) Prec@5 76.562 (70.702)
Epoch: [40][4250/5005] Time 0.264 (0.224) Data 0.183 (0.077) Loss 2.2996 (2.4244) Prec@1 46.094 (45.239) Prec@5 72.266 (70.704)
Epoch: [40][4260/5005] Time 0.213 (0.224) Data 0.054 (0.077) Loss 2.4672 (2.4244) Prec@1 41.797 (45.239) Prec@5 69.531 (70.705)
Epoch: [40][4270/5005] Time 0.219 (0.224) Data 0.046 (0.077) Loss 2.6483 (2.4245) Prec@1 42.969 (45.238) Prec@5 69.531 (70.705)
Epoch: [40][4280/5005] Time 0.196 (0.224) Data 0.049 (0.077) Loss 2.4394 (2.4245) Prec@1 45.312 (45.238) Prec@5 69.531 (70.704)
Epoch: [40][4290/5005] Time 0.217 (0.224) Data 0.046 (0.077) Loss 2.6366 (2.4245) Prec@1 42.969 (45.238) Prec@5 66.016 (70.702)
Epoch: [40][4300/5005] Time 0.192 (0.224) Data 0.090 (0.077) Loss 2.2007 (2.4242) Prec@1 47.266 (45.244) Prec@5 77.344 (70.710)
Epoch: [40][4310/5005] Time 0.195 (0.224) Data 0.060 (0.077) Loss 2.4209 (2.4242) Prec@1 48.047 (45.246) Prec@5 73.047 (70.712)
Epoch: [40][4320/5005] Time 0.203 (0.224) Data 0.042 (0.077) Loss 2.3051 (2.4242) Prec@1 46.875 (45.249) Prec@5 73.047 (70.713)
Epoch: [40][4330/5005] Time 0.394 (0.225) Data 0.308 (0.078) Loss 2.2985 (2.4242) Prec@1 45.703 (45.249) Prec@5 72.266 (70.714)
Epoch: [40][4340/5005] Time 0.207 (0.224) Data 0.040 (0.078) Loss 2.4249 (2.4243) Prec@1 46.484 (45.247) Prec@5 69.922 (70.714)
Epoch: [40][4350/5005] Time 0.207 (0.224) Data 0.052 (0.078) Loss 2.5089 (2.4242) Prec@1 44.922 (45.249) Prec@5 70.703 (70.718)
Epoch: [40][4360/5005] Time 0.209 (0.224) Data 0.044 (0.078) Loss 2.3433 (2.4241) Prec@1 45.703 (45.250) Prec@5 70.312 (70.722)
Epoch: [40][4370/5005] Time 0.206 (0.224) Data 0.040 (0.078) Loss 2.3662 (2.4241) Prec@1 46.484 (45.250) Prec@5 71.094 (70.720)
Epoch: [40][4380/5005] Time 0.211 (0.224) Data 0.048 (0.078) Loss 2.5797 (2.4241) Prec@1 42.188 (45.248) Prec@5 66.797 (70.721)
Epoch: [40][4390/5005] Time 0.208 (0.225) Data 0.051 (0.078) Loss 2.4941 (2.4240) Prec@1 44.141 (45.253) Prec@5 67.578 (70.719)
Epoch: [40][4400/5005] Time 0.198 (0.225) Data 0.060 (0.078) Loss 2.2895 (2.4240) Prec@1 50.391 (45.251) Prec@5 71.875 (70.718)
Epoch: [40][4410/5005] Time 0.208 (0.225) Data 0.040 (0.078) Loss 2.3485 (2.4238) Prec@1 49.609 (45.253) Prec@5 70.312 (70.718)
Epoch: [40][4420/5005] Time 0.210 (0.224) Data 0.043 (0.078) Loss 2.0739 (2.4237) Prec@1 53.125 (45.253) Prec@5 75.781 (70.722)
Epoch: [40][4430/5005] Time 0.743 (0.225) Data 0.656 (0.078) Loss 2.5094 (2.4235) Prec@1 40.234 (45.255) Prec@5 66.797 (70.723)
Epoch: [40][4440/5005] Time 0.200 (0.225) Data 0.048 (0.078) Loss 2.6281 (2.4235) Prec@1 43.359 (45.257) Prec@5 67.969 (70.724)
Epoch: [40][4450/5005] Time 0.200 (0.225) Data 0.043 (0.078) Loss 2.2767 (2.4235) Prec@1 48.047 (45.257) Prec@5 72.656 (70.721)
Epoch: [40][4460/5005] Time 0.201 (0.225) Data 0.050 (0.078) Loss 2.4569 (2.4234) Prec@1 46.484 (45.260) Prec@5 72.266 (70.722)
Epoch: [40][4470/5005] Time 0.204 (0.225) Data 0.049 (0.078) Loss 2.3347 (2.4235) Prec@1 44.531 (45.259) Prec@5 75.781 (70.722)
Epoch: [40][4480/5005] Time 0.196 (0.225) Data 0.093 (0.078) Loss 2.1749 (2.4236) Prec@1 51.562 (45.259) Prec@5 73.828 (70.721)
Epoch: [40][4490/5005] Time 0.208 (0.225) Data 0.097 (0.078) Loss 2.4625 (2.4237) Prec@1 47.656 (45.258) Prec@5 71.484 (70.719)
Epoch: [40][4500/5005] Time 0.204 (0.225) Data 0.045 (0.078) Loss 2.3763 (2.4237) Prec@1 44.141 (45.260) Prec@5 73.438 (70.720)
Epoch: [40][4510/5005] Time 0.202 (0.225) Data 0.044 (0.078) Loss 2.2632 (2.4237) Prec@1 46.484 (45.257) Prec@5 71.094 (70.720)
Epoch: [40][4520/5005] Time 0.777 (0.225) Data 0.692 (0.078) Loss 2.4087 (2.4235) Prec@1 47.656 (45.261) Prec@5 73.438 (70.725)
Epoch: [40][4530/5005] Time 0.294 (0.225) Data 0.210 (0.078) Loss 2.4378 (2.4235) Prec@1 44.922 (45.260) Prec@5 71.875 (70.723)
Epoch: [40][4540/5005] Time 0.197 (0.225) Data 0.055 (0.078) Loss 2.5916 (2.4237) Prec@1 44.141 (45.260) Prec@5 69.922 (70.721)
Epoch: [40][4550/5005] Time 0.209 (0.225) Data 0.042 (0.078) Loss 2.4666 (2.4236) Prec@1 45.312 (45.259) Prec@5 71.094 (70.724)
Epoch: [40][4560/5005] Time 0.208 (0.225) Data 0.041 (0.078) Loss 2.4395 (2.4236) Prec@1 50.000 (45.261) Prec@5 71.094 (70.724)
Epoch: [40][4570/5005] Time 0.206 (0.225) Data 0.049 (0.078) Loss 2.5242 (2.4235) Prec@1 43.750 (45.260) Prec@5 69.922 (70.725)
Epoch: [40][4580/5005] Time 0.280 (0.225) Data 0.200 (0.078) Loss 2.4305 (2.4235) Prec@1 41.797 (45.263) Prec@5 72.266 (70.729)
Epoch: [40][4590/5005] Time 0.208 (0.225) Data 0.046 (0.078) Loss 2.2816 (2.4234) Prec@1 47.656 (45.263) Prec@5 73.047 (70.728)
Epoch: [40][4600/5005] Time 0.199 (0.225) Data 0.043 (0.078) Loss 2.2275 (2.4235) Prec@1 47.266 (45.264) Prec@5 73.438 (70.726)
Epoch: [40][4610/5005] Time 0.215 (0.225) Data 0.046 (0.078) Loss 2.2510 (2.4234) Prec@1 45.703 (45.264) Prec@5 75.781 (70.727)
Epoch: [40][4620/5005] Time 0.189 (0.225) Data 0.051 (0.078) Loss 2.2416 (2.4234) Prec@1 50.391 (45.268) Prec@5 73.828 (70.728)
Epoch: [40][4630/5005] Time 0.202 (0.225) Data 0.045 (0.078) Loss 2.2036 (2.4232) Prec@1 51.562 (45.269) Prec@5 76.172 (70.732)
Epoch: [40][4640/5005] Time 0.205 (0.225) Data 0.042 (0.078) Loss 2.4079 (2.4231) Prec@1 45.703 (45.270) Prec@5 69.922 (70.732)
Epoch: [40][4650/5005] Time 0.200 (0.225) Data 0.048 (0.078) Loss 2.5225 (2.4231) Prec@1 40.234 (45.270) Prec@5 67.578 (70.731)
Epoch: [40][4660/5005] Time 0.206 (0.225) Data 0.050 (0.078) Loss 2.6697 (2.4230) Prec@1 40.625 (45.270) Prec@5 64.844 (70.730)
Epoch: [40][4670/5005] Time 0.202 (0.225) Data 0.039 (0.078) Loss 2.4116 (2.4230) Prec@1 44.531 (45.272) Prec@5 72.266 (70.731)
Epoch: [40][4680/5005] Time 0.194 (0.225) Data 0.054 (0.078) Loss 2.3221 (2.4229) Prec@1 46.484 (45.273) Prec@5 74.219 (70.732)
Epoch: [40][4690/5005] Time 0.201 (0.225) Data 0.052 (0.078) Loss 2.3890 (2.4230) Prec@1 43.359 (45.269) Prec@5 71.484 (70.730)
Epoch: [40][4700/5005] Time 0.190 (0.225) Data 0.045 (0.078) Loss 2.3486 (2.4230) Prec@1 47.266 (45.268) Prec@5 71.094 (70.728)
Epoch: [40][4710/5005] Time 0.193 (0.225) Data 0.055 (0.078) Loss 2.4010 (2.4229) Prec@1 44.531 (45.268) Prec@5 72.656 (70.730)
Epoch: [40][4720/5005] Time 0.206 (0.225) Data 0.046 (0.078) Loss 2.1808 (2.4228) Prec@1 53.516 (45.270) Prec@5 77.344 (70.733)
Epoch: [40][4730/5005] Time 0.204 (0.225) Data 0.051 (0.078) Loss 2.3374 (2.4228) Prec@1 44.531 (45.267) Prec@5 71.484 (70.730)
Epoch: [40][4740/5005] Time 0.201 (0.225) Data 0.042 (0.078) Loss 2.4376 (2.4229) Prec@1 40.625 (45.267) Prec@5 71.484 (70.731)
Epoch: [40][4750/5005] Time 0.240 (0.225) Data 0.163 (0.078) Loss 2.3905 (2.4228) Prec@1 48.047 (45.266) Prec@5 73.828 (70.733)
Epoch: [40][4760/5005] Time 0.200 (0.225) Data 0.050 (0.078) Loss 2.6679 (2.4227) Prec@1 43.750 (45.268) Prec@5 67.188 (70.734)
Epoch: [40][4770/5005] Time 0.210 (0.225) Data 0.044 (0.078) Loss 2.3454 (2.4226) Prec@1 46.484 (45.271) Prec@5 72.266 (70.736)
Epoch: [40][4780/5005] Time 0.200 (0.225) Data 0.047 (0.078) Loss 2.5067 (2.4226) Prec@1 43.359 (45.274) Prec@5 71.484 (70.736)
Epoch: [40][4790/5005] Time 0.195 (0.225) Data 0.059 (0.078) Loss 2.7796 (2.4227) Prec@1 40.625 (45.272) Prec@5 65.234 (70.734)
Epoch: [40][4800/5005] Time 0.203 (0.225) Data 0.040 (0.078) Loss 2.4785 (2.4225) Prec@1 41.406 (45.274) Prec@5 69.531 (70.737)
Epoch: [40][4810/5005] Time 0.207 (0.225) Data 0.046 (0.078) Loss 2.5843 (2.4225) Prec@1 44.141 (45.273) Prec@5 69.531 (70.739)
Epoch: [40][4820/5005] Time 0.200 (0.225) Data 0.041 (0.078) Loss 2.4493 (2.4223) Prec@1 42.969 (45.276) Prec@5 71.875 (70.742)
Epoch: [40][4830/5005] Time 0.203 (0.225) Data 0.043 (0.078) Loss 2.4912 (2.4222) Prec@1 44.141 (45.281) Prec@5 69.531 (70.742)
Epoch: [40][4840/5005] Time 0.188 (0.225) Data 0.045 (0.078) Loss 2.2046 (2.4222) Prec@1 48.438 (45.281) Prec@5 73.828 (70.742)
Epoch: [40][4850/5005] Time 0.209 (0.225) Data 0.046 (0.078) Loss 2.4189 (2.4224) Prec@1 42.969 (45.279) Prec@5 67.969 (70.740)
Epoch: [40][4860/5005] Time 0.201 (0.225) Data 0.045 (0.078) Loss 2.4031 (2.4223) Prec@1 45.312 (45.279) Prec@5 68.750 (70.742)
Epoch: [40][4870/5005] Time 0.207 (0.225) Data 0.043 (0.078) Loss 2.3539 (2.4224) Prec@1 44.141 (45.279) Prec@5 69.922 (70.740)
Epoch: [40][4880/5005] Time 0.197 (0.225) Data 0.054 (0.078) Loss 2.2931 (2.4223) Prec@1 47.266 (45.282) Prec@5 73.047 (70.742)
Epoch: [40][4890/5005] Time 0.215 (0.225) Data 0.130 (0.078) Loss 2.4532 (2.4222) Prec@1 47.656 (45.284) Prec@5 66.797 (70.744)
Epoch: [40][4900/5005] Time 0.196 (0.225) Data 0.044 (0.078) Loss 2.2884 (2.4221) Prec@1 50.391 (45.284) Prec@5 74.219 (70.745)
Epoch: [40][4910/5005] Time 0.204 (0.225) Data 0.045 (0.078) Loss 2.4831 (2.4220) Prec@1 44.141 (45.286) Prec@5 72.266 (70.748)
Epoch: [40][4920/5005] Time 0.209 (0.225) Data 0.047 (0.078) Loss 2.2882 (2.4219) Prec@1 43.750 (45.286) Prec@5 74.219 (70.749)
Epoch: [40][4930/5005] Time 0.234 (0.225) Data 0.148 (0.078) Loss 2.4968 (2.4217) Prec@1 44.141 (45.289) Prec@5 68.359 (70.753)
Epoch: [40][4940/5005] Time 0.202 (0.225) Data 0.095 (0.078) Loss 2.4385 (2.4217) Prec@1 48.047 (45.289) Prec@5 70.703 (70.753)
Epoch: [40][4950/5005] Time 0.237 (0.225) Data 0.157 (0.078) Loss 2.2216 (2.4218) Prec@1 44.922 (45.289) Prec@5 75.781 (70.752)
Epoch: [40][4960/5005] Time 0.197 (0.225) Data 0.044 (0.078) Loss 2.5486 (2.4218) Prec@1 46.094 (45.291) Prec@5 71.875 (70.754)
Epoch: [40][4970/5005] Time 0.206 (0.225) Data 0.046 (0.078) Loss 2.4532 (2.4216) Prec@1 44.141 (45.293) Prec@5 66.797 (70.756)
Epoch: [40][4980/5005] Time 0.205 (0.225) Data 0.047 (0.078) Loss 2.4482 (2.4216) Prec@1 48.047 (45.293) Prec@5 70.703 (70.758)
Epoch: [40][4990/5005] Time 0.205 (0.225) Data 0.028 (0.078) Loss 2.5471 (2.4215) Prec@1 42.969 (45.297) Prec@5 67.578 (70.760)
Epoch: [40][5000/5005] Time 0.209 (0.225) Data 0.070 (0.078) Loss 2.3754 (2.4214) Prec@1 47.656 (45.296) Prec@5 75.000 (70.761)
Test: [0/196] Time 2.445 (2.445) Loss 2.3840 (2.3840) Prec@1 49.219 (49.219) Prec@5 68.750 (68.750)
Test: [10/196] Time 0.097 (0.401) Loss 2.4857 (2.5920) Prec@1 46.094 (43.111) Prec@5 71.484 (68.111)
Test: [20/196] Time 0.045 (0.296) Loss 2.4247 (2.5902) Prec@1 46.094 (42.857) Prec@5 73.047 (68.211)
Test: [30/196] Time 0.044 (0.265) Loss 2.4831 (2.5898) Prec@1 40.625 (42.389) Prec@5 69.922 (68.322)
Test: [40/196] Time 0.043 (0.267) Loss 2.3629 (2.5871) Prec@1 48.828 (42.654) Prec@5 72.266 (68.302)
Test: [50/196] Time 0.043 (0.262) Loss 2.6513 (2.5917) Prec@1 44.922 (42.770) Prec@5 71.875 (68.367)
Test: [60/196] Time 0.120 (0.246) Loss 2.5798 (2.5803) Prec@1 47.266 (43.180) Prec@5 69.531 (68.596)
Test: [70/196] Time 0.235 (0.251) Loss 2.5209 (2.5747) Prec@1 43.750 (43.222) Prec@5 68.750 (68.695)
Test: [80/196] Time 0.042 (0.243) Loss 2.4818 (2.5816) Prec@1 47.656 (43.133) Prec@5 72.656 (68.639)
Test: [90/196] Time 0.044 (0.238) Loss 2.6746 (2.5847) Prec@1 42.969 (43.149) Prec@5 68.359 (68.561)
Test: [100/196] Time 0.741 (0.243) Loss 2.6527 (2.5837) Prec@1 45.312 (43.328) Prec@5 66.016 (68.530)
Test: [110/196] Time 0.430 (0.239) Loss 2.8014 (2.5879) Prec@1 39.844 (43.335) Prec@5 62.891 (68.476)
Test: [120/196] Time 0.042 (0.236) Loss 2.4392 (2.5854) Prec@1 45.703 (43.392) Prec@5 71.484 (68.498)
Test: [130/196] Time 0.273 (0.234) Loss 2.2619 (2.5820) Prec@1 46.875 (43.437) Prec@5 76.172 (68.619)
Test: [140/196] Time 1.042 (0.237) Loss 2.3817 (2.5831) Prec@1 48.047 (43.404) Prec@5 71.484 (68.587)
Test: [150/196] Time 0.148 (0.235) Loss 2.2464 (2.5793) Prec@1 46.484 (43.445) Prec@5 75.781 (68.703)
Test: [160/196] Time 0.083 (0.233) Loss 2.5340 (2.5777) Prec@1 48.047 (43.476) Prec@5 68.359 (68.714)
Test: [170/196] Time 0.042 (0.231) Loss 2.4600 (2.5795) Prec@1 45.312 (43.435) Prec@5 73.828 (68.718)
Test: [180/196] Time 0.732 (0.233) Loss 2.7515 (2.5846) Prec@1 43.359 (43.329) Prec@5 64.453 (68.584)
Test: [190/196] Time 0.244 (0.232) Loss 2.7907 (2.5876) Prec@1 38.672 (43.263) Prec@5 64.844 (68.466)
* Prec@1 43.274 Prec@5 68.498
Learning rate: 0.0001
Epoch: [41][0/5005] Time 2.204 (2.204) Data 2.105 (2.105) Loss 2.3037 (2.3037) Prec@1 46.484 (46.484) Prec@5 73.047 (73.047)
Epoch: [41][10/5005] Time 0.197 (0.383) Data 0.053 (0.239) Loss 2.3720 (2.4173) Prec@1 48.438 (45.241) Prec@5 73.047 (71.200)
Epoch: [41][20/5005] Time 0.196 (0.296) Data 0.041 (0.146) Loss 2.5972 (2.4404) Prec@1 40.625 (44.606) Prec@5 70.703 (70.740)
Epoch: [41][30/5005] Time 0.197 (0.265) Data 0.043 (0.115) Loss 2.2348 (2.3946) Prec@1 47.266 (45.098) Prec@5 75.000 (71.598)
Epoch: [41][40/5005] Time 0.201 (0.250) Data 0.045 (0.097) Loss 2.3287 (2.4038) Prec@1 44.141 (45.017) Prec@5 71.484 (71.284)
Epoch: [41][50/5005] Time 0.210 (0.240) Data 0.042 (0.087) Loss 2.2359 (2.4023) Prec@1 45.312 (44.960) Prec@5 75.000 (71.170)
Epoch: [41][60/5005] Time 0.192 (0.234) Data 0.044 (0.080) Loss 2.4041 (2.4051) Prec@1 43.359 (44.967) Prec@5 73.438 (71.030)
Epoch: [41][70/5005] Time 0.205 (0.229) Data 0.046 (0.075) Loss 2.2824 (2.4139) Prec@1 48.828 (44.861) Prec@5 72.266 (70.918)
Epoch: [41][80/5005] Time 0.199 (0.226) Data 0.062 (0.071) Loss 2.4571 (2.4125) Prec@1 47.266 (44.878) Prec@5 70.312 (70.838)
Epoch: [41][90/5005] Time 0.198 (0.223) Data 0.044 (0.068) Loss 2.5267 (2.4084) Prec@1 44.531 (45.089) Prec@5 68.750 (70.810)
Epoch: [41][100/5005] Time 0.200 (0.221) Data 0.040 (0.066) Loss 2.2073 (2.4128) Prec@1 45.703 (45.061) Prec@5 76.562 (70.742)
Epoch: [41][110/5005] Time 0.195 (0.219) Data 0.048 (0.064) Loss 2.5671 (2.4175) Prec@1 45.312 (45.052) Prec@5 66.406 (70.682)
Epoch: [41][120/5005] Time 0.191 (0.220) Data 0.061 (0.066) Loss 2.4461 (2.4238) Prec@1 41.797 (45.015) Prec@5 69.922 (70.548)
Epoch: [41][130/5005] Time 0.194 (0.218) Data 0.047 (0.065) Loss 2.6827 (2.4263) Prec@1 42.578 (44.973) Prec@5 65.625 (70.491)
Epoch: [41][140/5005] Time 0.334 (0.221) Data 0.240 (0.070) Loss 2.5068 (2.4243) Prec@1 41.406 (44.983) Prec@5 70.703 (70.548)
Epoch: [41][150/5005] Time 0.203 (0.222) Data 0.046 (0.073) Loss 2.5201 (2.4249) Prec@1 44.531 (44.994) Prec@5 67.969 (70.540)
Epoch: [41][160/5005] Time 0.213 (0.223) Data 0.129 (0.076) Loss 2.4824 (2.4266) Prec@1 46.094 (45.024) Prec@5 67.188 (70.570)
Epoch: [41][170/5005] Time 0.200 (0.224) Data 0.052 (0.078) Loss 2.5393 (2.4279) Prec@1 46.094 (45.004) Prec@5 69.531 (70.530)
Epoch: [41][180/5005] Time 0.207 (0.224) Data 0.106 (0.079) Loss 2.5617 (2.4280) Prec@1 43.750 (44.991) Prec@5 66.797 (70.496)
Epoch: [41][190/5005] Time 0.217 (0.225) Data 0.046 (0.080) Loss 2.6196 (2.4336) Prec@1 42.969 (44.922) Prec@5 68.359 (70.450)
Epoch: [41][200/5005] Time 0.210 (0.226) Data 0.058 (0.081) Loss 2.8158 (2.4368) Prec@1 36.328 (44.904) Prec@5 65.234 (70.379)
Epoch: [41][210/5005] Time 0.223 (0.227) Data 0.057 (0.083) Loss 2.1846 (2.4367) Prec@1 49.609 (44.914) Prec@5 76.172 (70.398)
Epoch: [41][220/5005] Time 0.224 (0.229) Data 0.058 (0.085) Loss 2.4693 (2.4368) Prec@1 46.875 (44.920) Prec@5 66.016 (70.360)
Epoch: [41][230/5005] Time 0.214 (0.228) Data 0.043 (0.083) Loss 2.4438 (2.4363) Prec@1 47.656 (44.940) Prec@5 72.656 (70.367)
Epoch: [41][240/5005] Time 0.217 (0.228) Data 0.044 (0.082) Loss 2.4681 (2.4360) Prec@1 42.969 (44.923) Prec@5 67.969 (70.390)
Epoch: [41][250/5005] Time 0.216 (0.229) Data 0.050 (0.083) Loss 2.6098 (2.4351) Prec@1 39.453 (44.939) Prec@5 70.703 (70.417)
Epoch: [41][260/5005] Time 0.262 (0.228) Data 0.170 (0.083) Loss 2.3136 (2.4362) Prec@1 43.359 (44.916) Prec@5 70.312 (70.356)
Epoch: [41][270/5005] Time 0.201 (0.229) Data 0.055 (0.084) Loss 2.4961 (2.4369) Prec@1 45.703 (44.893) Prec@5 71.484 (70.363)
Epoch: [41][280/5005] Time 0.206 (0.229) Data 0.045 (0.084) Loss 2.8130 (2.4391) Prec@1 38.672 (44.886) Prec@5 62.891 (70.331)
Epoch: [41][290/5005] Time 0.525 (0.230) Data 0.443 (0.086) Loss 2.2748 (2.4394) Prec@1 49.609 (44.853) Prec@5 72.266 (70.317)
Epoch: [41][300/5005] Time 0.196 (0.230) Data 0.051 (0.087) Loss 2.2827 (2.4387) Prec@1 43.750 (44.863) Prec@5 75.391 (70.336)
Epoch: [41][310/5005] Time 0.213 (0.230) Data 0.047 (0.087) Loss 2.2337 (2.4353) Prec@1 47.656 (44.917) Prec@5 74.219 (70.405)
Epoch: [41][320/5005] Time 0.235 (0.231) Data 0.145 (0.086) Loss 2.6225 (2.4371) Prec@1 41.016 (44.927) Prec@5 71.094 (70.411)
Epoch: [41][330/5005] Time 0.200 (0.231) Data 0.057 (0.087) Loss 2.0977 (2.4345) Prec@1 50.781 (44.979) Prec@5 74.219 (70.448)
Epoch: [41][340/5005] Time 0.208 (0.231) Data 0.047 (0.087) Loss 2.4442 (2.4378) Prec@1 44.922 (44.948) Prec@5 71.094 (70.418)
Epoch: [41][350/5005] Time 0.213 (0.231) Data 0.054 (0.087) Loss 2.7060 (2.4373) Prec@1 39.844 (44.953) Prec@5 66.016 (70.407)
Epoch: [41][360/5005] Time 0.211 (0.231) Data 0.054 (0.086) Loss 2.3914 (2.4366) Prec@1 45.703 (44.959) Prec@5 69.922 (70.397)
Epoch: [41][370/5005] Time 0.209 (0.230) Data 0.049 (0.085) Loss 2.3638 (2.4340) Prec@1 46.484 (45.017) Prec@5 70.312 (70.444)
Epoch: [41][380/5005] Time 0.210 (0.230) Data 0.044 (0.084) Loss 2.6330 (2.4358) Prec@1 40.234 (44.980) Prec@5 66.406 (70.419)
Epoch: [41][390/5005] Time 0.206 (0.229) Data 0.048 (0.084) Loss 2.4878 (2.4362) Prec@1 47.266 (45.008) Prec@5 70.703 (70.421)
Epoch: [41][400/5005] Time 0.200 (0.229) Data 0.048 (0.083) Loss 2.3229 (2.4353) Prec@1 48.047 (45.047) Prec@5 71.875 (70.439)
Epoch: [41][410/5005] Time 0.225 (0.228) Data 0.046 (0.082) Loss 2.2749 (2.4347) Prec@1 43.750 (45.075) Prec@5 72.656 (70.459)
Epoch: [41][420/5005] Time 0.214 (0.228) Data 0.051 (0.081) Loss 2.4308 (2.4346) Prec@1 46.875 (45.082) Prec@5 71.094 (70.453)
Epoch: [41][430/5005] Time 0.211 (0.228) Data 0.052 (0.080) Loss 2.2975 (2.4348) Prec@1 48.438 (45.064) Prec@5 75.000 (70.459)
Epoch: [41][440/5005] Time 0.214 (0.227) Data 0.064 (0.080) Loss 2.3095 (2.4341) Prec@1 49.219 (45.061) Prec@5 73.047 (70.472)
Epoch: [41][450/5005] Time 0.218 (0.227) Data 0.044 (0.079) Loss 2.2538 (2.4348) Prec@1 44.531 (45.052) Prec@5 73.047 (70.438)
Epoch: [41][460/5005] Time 0.209 (0.227) Data 0.046 (0.078) Loss 2.5760 (2.4360) Prec@1 45.312 (45.027) Prec@5 67.578 (70.431)
Epoch: [41][470/5005] Time 0.220 (0.226) Data 0.042 (0.078) Loss 2.4712 (2.4377) Prec@1 41.406 (45.004) Prec@5 68.750 (70.409)
Epoch: [41][480/5005] Time 0.212 (0.226) Data 0.045 (0.077) Loss 2.4555 (2.4377) Prec@1 44.531 (45.025) Prec@5 69.531 (70.404)
Epoch: [41][490/5005] Time 0.214 (0.226) Data 0.044 (0.076) Loss 2.2063 (2.4368) Prec@1 51.953 (45.037) Prec@5 74.219 (70.413)
Epoch: [41][500/5005] Time 0.223 (0.226) Data 0.039 (0.076) Loss 2.5019 (2.4386) Prec@1 45.312 (45.019) Prec@5 68.359 (70.387)
Epoch: [41][510/5005] Time 0.211 (0.225) Data 0.049 (0.075) Loss 2.7404 (2.4391) Prec@1 39.062 (45.017) Prec@5 67.578 (70.393)
Epoch: [41][520/5005] Time 0.212 (0.225) Data 0.044 (0.075) Loss 2.4470 (2.4389) Prec@1 46.484 (44.999) Prec@5 71.484 (70.400)
Epoch: [41][530/5005] Time 0.221 (0.225) Data 0.043 (0.074) Loss 2.5099 (2.4390) Prec@1 45.703 (45.001) Prec@5 68.750 (70.394)
Epoch: [41][540/5005] Time 0.204 (0.225) Data 0.040 (0.073) Loss 2.6346 (2.4394) Prec@1 44.531 (45.001) Prec@5 67.188 (70.389)
Epoch: [41][550/5005] Time 0.210 (0.225) Data 0.051 (0.073) Loss 2.3915 (2.4388) Prec@1 41.797 (45.007) Prec@5 73.047 (70.395)
Epoch: [41][560/5005] Time 0.200 (0.224) Data 0.040 (0.072) Loss 2.5771 (2.4386) Prec@1 39.062 (44.996) Prec@5 69.922 (70.411)
Epoch: [41][570/5005] Time 0.217 (0.224) Data 0.045 (0.072) Loss 2.5567 (2.4399) Prec@1 47.656 (44.986) Prec@5 67.578 (70.375)
Epoch: [41][580/5005] Time 0.205 (0.224) Data 0.045 (0.071) Loss 2.4542 (2.4390) Prec@1 43.359 (44.996) Prec@5 71.875 (70.393)
Epoch: [41][590/5005] Time 0.204 (0.224) Data 0.050 (0.071) Loss 2.4748 (2.4390) Prec@1 42.969 (44.984) Prec@5 67.578 (70.390)
Epoch: [41][600/5005] Time 0.220 (0.224) Data 0.048 (0.071) Loss 2.4889 (2.4403) Prec@1 45.703 (44.943) Prec@5 71.094 (70.371)
Epoch: [41][610/5005] Time 0.217 (0.223) Data 0.044 (0.070) Loss 2.3698 (2.4404) Prec@1 41.016 (44.921) Prec@5 73.438 (70.371)
Epoch: [41][620/5005] Time 0.199 (0.223) Data 0.045 (0.070) Loss 2.4224 (2.4405) Prec@1 50.391 (44.943) Prec@5 68.750 (70.362)
Epoch: [41][630/5005] Time 0.215 (0.223) Data 0.041 (0.069) Loss 2.5356 (2.4405) Prec@1 44.922 (44.942) Prec@5 68.750 (70.371)
Epoch: [41][640/5005] Time 0.193 (0.223) Data 0.050 (0.069) Loss 2.3385 (2.4405) Prec@1 48.047 (44.939) Prec@5 71.094 (70.367)
Epoch: [41][650/5005] Time 0.211 (0.223) Data 0.046 (0.069) Loss 2.5567 (2.4412) Prec@1 42.969 (44.927) Prec@5 68.359 (70.356)
Epoch: [41][660/5005] Time 0.210 (0.222) Data 0.045 (0.068) Loss 2.5789 (2.4405) Prec@1 45.703 (44.935) Prec@5 69.922 (70.377)
Epoch: [41][670/5005] Time 0.207 (0.222) Data 0.043 (0.068) Loss 2.6319 (2.4406) Prec@1 42.188 (44.933) Prec@5 68.359 (70.373)
Epoch: [41][680/5005] Time 0.210 (0.222) Data 0.040 (0.068) Loss 2.5177 (2.4403) Prec@1 42.578 (44.935) Prec@5 69.922 (70.385)
Epoch: [41][690/5005] Time 0.222 (0.222) Data 0.041 (0.067) Loss 2.2560 (2.4395) Prec@1 48.828 (44.947) Prec@5 77.344 (70.406)
Epoch: [41][700/5005] Time 0.214 (0.222) Data 0.042 (0.067) Loss 2.5471 (2.4392) Prec@1 41.406 (44.945) Prec@5 68.750 (70.411)
Epoch: [41][710/5005] Time 0.211 (0.222) Data 0.042 (0.067) Loss 2.1734 (2.4389) Prec@1 51.172 (44.956) Prec@5 76.953 (70.431)
Epoch: [41][720/5005] Time 0.209 (0.222) Data 0.043 (0.066) Loss 2.3608 (2.4378) Prec@1 43.359 (44.967) Prec@5 72.266 (70.446)
Epoch: [41][730/5005] Time 0.212 (0.221) Data 0.045 (0.066) Loss 2.5663 (2.4384) Prec@1 44.922 (44.962) Prec@5 69.922 (70.443)
Epoch: [41][740/5005] Time 0.209 (0.221) Data 0.047 (0.066) Loss 2.4951 (2.4386) Prec@1 43.359 (44.954) Prec@5 66.406 (70.427)
Epoch: [41][750/5005] Time 0.214 (0.221) Data 0.047 (0.066) Loss 2.3240 (2.4385) Prec@1 44.922 (44.960) Prec@5 73.047 (70.422)
Epoch: [41][760/5005] Time 0.207 (0.221) Data 0.064 (0.065) Loss 2.4880 (2.4389) Prec@1 46.875 (44.966) Prec@5 68.750 (70.415)
Epoch: [41][770/5005] Time 0.219 (0.221) Data 0.048 (0.065) Loss 2.3238 (2.4375) Prec@1 45.703 (44.989) Prec@5 72.266 (70.440)
Epoch: [41][780/5005] Time 0.203 (0.221) Data 0.054 (0.065) Loss 2.5036 (2.4375) Prec@1 43.750 (44.987) Prec@5 68.359 (70.438)
Epoch: [41][790/5005] Time 0.201 (0.221) Data 0.044 (0.065) Loss 2.4406 (2.4373) Prec@1 45.703 (45.002) Prec@5 70.312 (70.439)
Epoch: [41][800/5005] Time 0.211 (0.221) Data 0.040 (0.065) Loss 2.3556 (2.4365) Prec@1 43.750 (45.025) Prec@5 72.266 (70.447)
Epoch: [41][810/5005] Time 0.204 (0.221) Data 0.049 (0.064) Loss 2.5955 (2.4370) Prec@1 43.750 (45.020) Prec@5 66.797 (70.437)
Epoch: [41][820/5005] Time 0.202 (0.221) Data 0.048 (0.064) Loss 2.5703 (2.4372) Prec@1 46.875 (45.018) Prec@5 67.578 (70.442)
Epoch: [41][830/5005] Time 0.193 (0.221) Data 0.049 (0.064) Loss 2.3377 (2.4372) Prec@1 46.875 (45.021) Prec@5 71.875 (70.442)
Epoch: [41][840/5005] Time 0.213 (0.221) Data 0.049 (0.064) Loss 2.4702 (2.4377) Prec@1 42.188 (45.016) Prec@5 68.359 (70.441)
Epoch: [41][850/5005] Time 0.200 (0.220) Data 0.044 (0.064) Loss 2.6990 (2.4372) Prec@1 42.969 (45.023) Prec@5 67.578 (70.453)
Epoch: [41][860/5005] Time 0.206 (0.220) Data 0.040 (0.063) Loss 2.3886 (2.4372) Prec@1 42.969 (45.019) Prec@5 70.703 (70.441)
Epoch: [41][870/5005] Time 0.216 (0.220) Data 0.045 (0.063) Loss 2.3632 (2.4363) Prec@1 46.875 (45.053) Prec@5 71.484 (70.457)
Epoch: [41][880/5005] Time 0.219 (0.220) Data 0.042 (0.063) Loss 2.4053 (2.4368) Prec@1 41.797 (45.036) Prec@5 69.922 (70.451)
Epoch: [41][890/5005] Time 0.222 (0.220) Data 0.046 (0.063) Loss 2.5559 (2.4364) Prec@1 41.016 (45.040) Prec@5 67.188 (70.459)
Epoch: [41][900/5005] Time 0.227 (0.220) Data 0.138 (0.063) Loss 2.3354 (2.4361) Prec@1 46.484 (45.039) Prec@5 73.438 (70.463)
Epoch: [41][910/5005] Time 0.234 (0.220) Data 0.142 (0.063) Loss 2.4678 (2.4365) Prec@1 41.797 (45.039) Prec@5 72.266 (70.461)
Epoch: [41][920/5005] Time 0.206 (0.220) Data 0.044 (0.063) Loss 2.4756 (2.4360) Prec@1 42.969 (45.054) Prec@5 72.266 (70.472)
Epoch: [41][930/5005] Time 0.199 (0.221) Data 0.046 (0.064) Loss 2.4207 (2.4354) Prec@1 48.047 (45.075) Prec@5 66.797 (70.484)
Epoch: [41][940/5005] Time 0.209 (0.221) Data 0.045 (0.065) Loss 2.3929 (2.4358) Prec@1 48.438 (45.066) Prec@5 70.703 (70.481)
Epoch: [41][950/5005] Time 0.198 (0.222) Data 0.117 (0.065) Loss 2.5516 (2.4362) Prec@1 45.312 (45.064) Prec@5 67.578 (70.469)
Epoch: [41][960/5005] Time 0.200 (0.222) Data 0.042 (0.066) Loss 2.6080 (2.4364) Prec@1 47.266 (45.065) Prec@5 66.406 (70.464)
Epoch: [41][970/5005] Time 0.215 (0.222) Data 0.043 (0.066) Loss 2.1441 (2.4361) Prec@1 50.000 (45.073) Prec@5 74.219 (70.467)
Epoch: [41][980/5005] Time 0.217 (0.222) Data 0.051 (0.066) Loss 2.3140 (2.4356) Prec@1 45.312 (45.073) Prec@5 70.703 (70.475)
Epoch: [41][990/5005] Time 0.212 (0.222) Data 0.039 (0.066) Loss 2.5009 (2.4359) Prec@1 44.922 (45.065) Prec@5 75.000 (70.472)
Epoch: [41][1000/5005] Time 0.209 (0.222) Data 0.042 (0.065) Loss 2.4510 (2.4356) Prec@1 44.922 (45.077) Prec@5 71.094 (70.473)
Epoch: [41][1010/5005] Time 0.204 (0.221) Data 0.051 (0.065) Loss 2.6077 (2.4355) Prec@1 42.578 (45.086) Prec@5 65.625 (70.468)
Epoch: [41][1020/5005] Time 0.208 (0.221) Data 0.040 (0.065) Loss 2.3249 (2.4358) Prec@1 46.875 (45.089) Prec@5 71.484 (70.464)
Epoch: [41][1030/5005] Time 0.208 (0.221) Data 0.050 (0.065) Loss 2.2432 (2.4351) Prec@1 46.875 (45.101) Prec@5 72.656 (70.476)
Epoch: [41][1040/5005] Time 0.205 (0.221) Data 0.045 (0.065) Loss 2.5683 (2.4353) Prec@1 42.969 (45.096) Prec@5 69.141 (70.475)
Epoch: [41][1050/5005] Time 0.209 (0.221) Data 0.040 (0.064) Loss 2.6092 (2.4352) Prec@1 41.406 (45.088) Prec@5 68.750 (70.485)
Epoch: [41][1060/5005] Time 0.215 (0.221) Data 0.042 (0.064) Loss 2.4738 (2.4356) Prec@1 42.188 (45.075) Prec@5 69.531 (70.473)
Epoch: [41][1070/5005] Time 0.212 (0.221) Data 0.042 (0.064) Loss 2.3937 (2.4359) Prec@1 43.359 (45.064) Prec@5 71.484 (70.468)
Epoch: [41][1080/5005] Time 0.214 (0.221) Data 0.042 (0.064) Loss 2.4591 (2.4360) Prec@1 43.750 (45.061) Prec@5 72.266 (70.470)
Epoch: [41][1090/5005] Time 0.201 (0.221) Data 0.057 (0.064) Loss 2.3683 (2.4353) Prec@1 45.703 (45.076) Prec@5 69.141 (70.480)
Epoch: [41][1100/5005] Time 0.214 (0.221) Data 0.044 (0.064) Loss 2.3254 (2.4351) Prec@1 47.266 (45.077) Prec@5 72.656 (70.484)
Epoch: [41][1110/5005] Time 0.207 (0.221) Data 0.050 (0.063) Loss 2.4654 (2.4350) Prec@1 41.406 (45.066) Prec@5 70.312 (70.484)
Epoch: [41][1120/5005] Time 0.205 (0.220) Data 0.045 (0.063) Loss 2.2969 (2.4341) Prec@1 46.875 (45.080) Prec@5 72.266 (70.500)
Epoch: [41][1130/5005] Time 0.219 (0.220) Data 0.047 (0.063) Loss 2.4956 (2.4343) Prec@1 44.531 (45.073) Prec@5 69.531 (70.498)
Epoch: [41][1140/5005] Time 0.208 (0.220) Data 0.045 (0.063) Loss 2.4698 (2.4339) Prec@1 47.266 (45.076) Prec@5 72.266 (70.511)
Epoch: [41][1150/5005] Time 0.210 (0.220) Data 0.048 (0.063) Loss 2.4007 (2.4336) Prec@1 43.750 (45.082) Prec@5 70.703 (70.519)
Epoch: [41][1160/5005] Time 0.216 (0.220) Data 0.047 (0.063) Loss 2.5248 (2.4336) Prec@1 45.312 (45.077) Prec@5 67.188 (70.505)
Epoch: [41][1170/5005] Time 0.207 (0.220) Data 0.048 (0.063) Loss 2.3371 (2.4335) Prec@1 45.703 (45.084) Prec@5 70.703 (70.507)
Epoch: [41][1180/5005] Time 0.206 (0.220) Data 0.043 (0.063) Loss 2.3712 (2.4333) Prec@1 42.969 (45.084) Prec@5 69.531 (70.513)
Epoch: [41][1190/5005] Time 0.203 (0.220) Data 0.051 (0.062) Loss 2.2603 (2.4326) Prec@1 47.656 (45.098) Prec@5 73.438 (70.526)
Epoch: [41][1200/5005] Time 0.216 (0.220) Data 0.046 (0.062) Loss 2.6034 (2.4327) Prec@1 42.188 (45.098) Prec@5 69.141 (70.531)
Epoch: [41][1210/5005] Time 0.207 (0.220) Data 0.044 (0.062) Loss 2.4991 (2.4330) Prec@1 44.531 (45.093) Prec@5 70.703 (70.526)
Epoch: [41][1220/5005] Time 0.231 (0.220) Data 0.144 (0.062) Loss 2.4231 (2.4330) Prec@1 45.312 (45.097) Prec@5 72.656 (70.532)
Epoch: [41][1230/5005] Time 0.211 (0.220) Data 0.044 (0.063) Loss 2.4632 (2.4328) Prec@1 41.016 (45.087) Prec@5 71.875 (70.534)
Epoch: [41][1240/5005] Time 0.208 (0.220) Data 0.041 (0.062) Loss 2.4613 (2.4329) Prec@1 45.312 (45.076) Prec@5 70.312 (70.524)
Epoch: [41][1250/5005] Time 0.214 (0.220) Data 0.041 (0.063) Loss 2.7162 (2.4335) Prec@1 38.672 (45.064) Prec@5 66.406 (70.514)
Epoch: [41][1260/5005] Time 0.196 (0.220) Data 0.098 (0.063) Loss 2.2052 (2.4332) Prec@1 51.172 (45.076) Prec@5 72.266 (70.524)
Epoch: [41][1270/5005] Time 0.209 (0.220) Data 0.045 (0.063) Loss 2.5228 (2.4338) Prec@1 45.703 (45.069) Prec@5 69.922 (70.507)
Epoch: [41][1280/5005] Time 0.207 (0.220) Data 0.047 (0.063) Loss 2.3780 (2.4340) Prec@1 48.438 (45.071) Prec@5 71.094 (70.504)
Epoch: [41][1290/5005] Time 0.193 (0.220) Data 0.044 (0.063) Loss 2.2103 (2.4338) Prec@1 49.219 (45.074) Prec@5 71.484 (70.503)
Epoch: [41][1300/5005] Time 0.206 (0.220) Data 0.039 (0.063) Loss 2.3318 (2.4337) Prec@1 50.000 (45.081) Prec@5 72.656 (70.505)
Epoch: [41][1310/5005] Time 0.199 (0.220) Data 0.061 (0.064) Loss 2.4497 (2.4336) Prec@1 44.922 (45.085) Prec@5 70.703 (70.508)
Epoch: [41][1320/5005] Time 0.209 (0.220) Data 0.052 (0.064) Loss 2.6200 (2.4335) Prec@1 44.922 (45.088) Prec@5 69.922 (70.513)
Epoch: [41][1330/5005] Time 0.212 (0.220) Data 0.044 (0.064) Loss 2.6450 (2.4340) Prec@1 41.406 (45.079) Prec@5 69.531 (70.512)
Epoch: [41][1340/5005] Time 0.208 (0.220) Data 0.049 (0.064) Loss 2.4982 (2.4339) Prec@1 43.359 (45.078) Prec@5 67.969 (70.514)
Epoch: [41][1350/5005] Time 0.211 (0.220) Data 0.041 (0.063) Loss 2.8346 (2.4341) Prec@1 40.234 (45.074) Prec@5 62.891 (70.509)
Epoch: [41][1360/5005] Time 0.199 (0.220) Data 0.114 (0.063) Loss 2.3551 (2.4340) Prec@1 44.531 (45.075) Prec@5 73.438 (70.510)
Epoch: [41][1370/5005] Time 0.210 (0.220) Data 0.048 (0.063) Loss 2.5562 (2.4339) Prec@1 44.141 (45.071) Prec@5 70.703 (70.518)
Epoch: [41][1380/5005] Time 0.205 (0.220) Data 0.045 (0.063) Loss 2.5415 (2.4337) Prec@1 44.141 (45.079) Prec@5 67.969 (70.522)
Epoch: [41][1390/5005] Time 0.197 (0.221) Data 0.062 (0.064) Loss 2.2685 (2.4335) Prec@1 46.875 (45.084) Prec@5 75.000 (70.526)
Epoch: [41][1400/5005] Time 0.217 (0.220) Data 0.047 (0.063) Loss 2.3289 (2.4327) Prec@1 46.094 (45.098) Prec@5 73.047 (70.541)
Epoch: [41][1410/5005] Time 0.198 (0.220) Data 0.061 (0.063) Loss 2.4511 (2.4326) Prec@1 44.141 (45.094) Prec@5 73.438 (70.547)
Epoch: [41][1420/5005] Time 0.199 (0.220) Data 0.047 (0.063) Loss 2.6324 (2.4326) Prec@1 45.703 (45.093) Prec@5 66.797 (70.545)
Epoch: [41][1430/5005] Time 0.200 (0.220) Data 0.046 (0.064) Loss 2.2287 (2.4322) Prec@1 46.094 (45.098) Prec@5 75.391 (70.550)
Epoch: [41][1440/5005] Time 0.205 (0.221) Data 0.048 (0.064) Loss 2.1663 (2.4322) Prec@1 50.391 (45.100) Prec@5 74.609 (70.553)
Epoch: [41][1450/5005] Time 0.210 (0.221) Data 0.044 (0.064) Loss 2.4656 (2.4322) Prec@1 47.266 (45.096) Prec@5 69.531 (70.553)
Epoch: [41][1460/5005] Time 0.204 (0.220) Data 0.049 (0.063) Loss 2.3838 (2.4321) Prec@1 43.750 (45.100) Prec@5 68.359 (70.555)
Epoch: [41][1470/5005] Time 0.211 (0.220) Data 0.041 (0.063) Loss 2.4828 (2.4321) Prec@1 44.531 (45.104) Prec@5 71.484 (70.559)
Epoch: [41][1480/5005] Time 0.207 (0.221) Data 0.044 (0.064) Loss 2.2585 (2.4325) Prec@1 49.219 (45.104) Prec@5 76.562 (70.559)
Epoch: [41][1490/5005] Time 0.206 (0.220) Data 0.040 (0.064) Loss 2.6253 (2.4322) Prec@1 42.969 (45.110) Prec@5 69.141 (70.564)
Epoch: [41][1500/5005] Time 0.405 (0.221) Data 0.320 (0.064) Loss 2.3049 (2.4320) Prec@1 44.141 (45.108) Prec@5 75.391 (70.576)
Epoch: [41][1510/5005] Time 0.199 (0.220) Data 0.043 (0.064) Loss 2.3516 (2.4318) Prec@1 51.172 (45.113) Prec@5 71.484 (70.583)
Epoch: [41][1520/5005] Time 0.195 (0.220) Data 0.040 (0.064) Loss 2.4543 (2.4315) Prec@1 42.578 (45.118) Prec@5 72.266 (70.584)
Epoch: [41][1530/5005] Time 0.202 (0.220) Data 0.042 (0.064) Loss 2.5954 (2.4316) Prec@1 43.750 (45.115) Prec@5 67.969 (70.580)
Epoch: [41][1540/5005] Time 0.301 (0.220) Data 0.216 (0.064) Loss 2.4627 (2.4319) Prec@1 43.359 (45.107) Prec@5 68.359 (70.576)
Epoch: [41][1550/5005] Time 0.205 (0.220) Data 0.044 (0.064) Loss 2.2274 (2.4316) Prec@1 50.781 (45.116) Prec@5 75.391 (70.576)
Epoch: [41][1560/5005] Time 0.204 (0.220) Data 0.049 (0.064) Loss 2.3233 (2.4319) Prec@1 46.875 (45.114) Prec@5 70.703 (70.574)
Epoch: [41][1570/5005] Time 1.243 (0.221) Data 1.163 (0.065) Loss 2.3339 (2.4315) Prec@1 47.266 (45.119) Prec@5 71.484 (70.577)
Epoch: [41][1580/5005] Time 0.195 (0.221) Data 0.048 (0.065) Loss 2.2676 (2.4316) Prec@1 46.484 (45.114) Prec@5 74.609 (70.572)
Epoch: [41][1590/5005] Time 0.192 (0.221) Data 0.055 (0.065) Loss 2.4225 (2.4318) Prec@1 46.484 (45.107) Prec@5 69.531 (70.567)
Epoch: [41][1600/5005] Time 0.195 (0.221) Data 0.063 (0.065) Loss 2.4661 (2.4318) Prec@1 41.406 (45.104) Prec@5 69.531 (70.565)
Epoch: [41][1610/5005] Time 0.209 (0.221) Data 0.042 (0.065) Loss 2.5157 (2.4319) Prec@1 45.312 (45.105) Prec@5 71.094 (70.565)
Epoch: [41][1620/5005] Time 0.205 (0.221) Data 0.062 (0.065) Loss 2.6865 (2.4318) Prec@1 41.406 (45.101) Prec@5 67.578 (70.568)
Epoch: [41][1630/5005] Time 0.201 (0.221) Data 0.047 (0.065) Loss 2.3076 (2.4315) Prec@1 46.094 (45.107) Prec@5 69.141 (70.573)
Epoch: [41][1640/5005] Time 0.210 (0.221) Data 0.053 (0.065) Loss 2.5057 (2.4318) Prec@1 48.047 (45.106) Prec@5 71.094 (70.571)
Epoch: [41][1650/5005] Time 0.209 (0.221) Data 0.046 (0.066) Loss 2.5087 (2.4317) Prec@1 46.875 (45.115) Prec@5 66.406 (70.569)
Epoch: [41][1660/5005] Time 0.205 (0.221) Data 0.043 (0.065) Loss 2.3746 (2.4311) Prec@1 45.312 (45.122) Prec@5 72.656 (70.578)
Epoch: [41][1670/5005] Time 0.225 (0.221) Data 0.138 (0.065) Loss 2.1895 (2.4311) Prec@1 47.656 (45.121) Prec@5 75.391 (70.580)
Epoch: [41][1680/5005] Time 0.199 (0.221) Data 0.061 (0.066) Loss 2.6677 (2.4315) Prec@1 45.703 (45.112) Prec@5 68.359 (70.570)
Epoch: [41][1690/5005] Time 0.208 (0.221) Data 0.040 (0.066) Loss 2.2955 (2.4313) Prec@1 45.703 (45.121) Prec@5 71.094 (70.575)
Epoch: [41][1700/5005] Time 0.194 (0.221) Data 0.052 (0.066) Loss 2.3713 (2.4307) Prec@1 44.531 (45.130) Prec@5 72.266 (70.581)
Epoch: [41][1710/5005] Time 0.200 (0.221) Data 0.045 (0.066) Loss 2.3641 (2.4300) Prec@1 45.703 (45.142) Prec@5 70.703 (70.591)
Epoch: [41][1720/5005] Time 0.200 (0.221) Data 0.101 (0.066) Loss 2.4695 (2.4302) Prec@1 41.797 (45.134) Prec@5 70.703 (70.596)
Epoch: [41][1730/5005] Time 0.203 (0.221) Data 0.055 (0.066) Loss 2.4210 (2.4302) Prec@1 41.406 (45.127) Prec@5 69.531 (70.600)
Epoch: [41][1740/5005] Time 0.208 (0.221) Data 0.044 (0.066) Loss 2.5830 (2.4300) Prec@1 42.188 (45.135) Prec@5 65.625 (70.601)
Epoch: [41][1750/5005] Time 0.197 (0.221) Data 0.050 (0.066) Loss 2.4357 (2.4297) Prec@1 44.141 (45.142) Prec@5 68.750 (70.607)
Epoch: [41][1760/5005] Time 0.193 (0.221) Data 0.095 (0.067) Loss 2.1469 (2.4296) Prec@1 52.734 (45.149) Prec@5 77.734 (70.612)
Epoch: [41][1770/5005] Time 0.206 (0.221) Data 0.054 (0.067) Loss 2.4244 (2.4294) Prec@1 45.312 (45.155) Prec@5 73.828 (70.623)
Epoch: [41][1780/5005] Time 0.204 (0.221) Data 0.040 (0.067) Loss 2.3333 (2.4292) Prec@1 43.750 (45.152) Prec@5 72.266 (70.624)
Epoch: [41][1790/5005] Time 0.204 (0.221) Data 0.040 (0.067) Loss 2.2877 (2.4290) Prec@1 48.047 (45.154) Prec@5 70.703 (70.625)
Epoch: [41][1800/5005] Time 0.477 (0.221) Data 0.390 (0.067) Loss 2.4140 (2.4288) Prec@1 42.969 (45.164) Prec@5 71.094 (70.629)
Epoch: [41][1810/5005] Time 0.205 (0.221) Data 0.052 (0.067) Loss 2.3112 (2.4285) Prec@1 50.781 (45.161) Prec@5 73.047 (70.633)
Epoch: [41][1820/5005] Time 0.209 (0.221) Data 0.045 (0.067) Loss 2.5091 (2.4286) Prec@1 41.797 (45.160) Prec@5 72.266 (70.628)
Epoch: [41][1830/5005] Time 0.199 (0.221) Data 0.050 (0.067) Loss 2.1790 (2.4282) Prec@1 49.219 (45.167) Prec@5 73.438 (70.631)
Epoch: [41][1840/5005] Time 0.207 (0.221) Data 0.046 (0.067) Loss 2.4498 (2.4282) Prec@1 41.406 (45.168) Prec@5 71.875 (70.635)
Epoch: [41][1850/5005] Time 0.208 (0.222) Data 0.065 (0.067) Loss 2.4209 (2.4280) Prec@1 44.922 (45.171) Prec@5 72.656 (70.636)
Epoch: [41][1860/5005] Time 0.209 (0.221) Data 0.044 (0.067) Loss 2.3629 (2.4280) Prec@1 46.875 (45.173) Prec@5 69.141 (70.638)
Epoch: [41][1870/5005] Time 0.205 (0.222) Data 0.049 (0.067) Loss 2.5670 (2.4283) Prec@1 39.453 (45.167) Prec@5 66.016 (70.635)
Epoch: [41][1880/5005] Time 0.208 (0.222) Data 0.047 (0.067) Loss 2.3611 (2.4285) Prec@1 46.875 (45.166) Prec@5 71.875 (70.629)
Epoch: [41][1890/5005] Time 0.719 (0.222) Data 0.636 (0.068) Loss 2.4264 (2.4285) Prec@1 44.141 (45.165) Prec@5 71.484 (70.630)
Epoch: [41][1900/5005] Time 0.199 (0.222) Data 0.047 (0.067) Loss 2.4297 (2.4291) Prec@1 43.750 (45.153) Prec@5 70.703 (70.619)
Epoch: [41][1910/5005] Time 0.198 (0.222) Data 0.048 (0.067) Loss 2.3643 (2.4290) Prec@1 42.188 (45.151) Prec@5 73.047 (70.621)
Epoch: [41][1920/5005] Time 0.318 (0.222) Data 0.232 (0.067) Loss 2.3517 (2.4288) Prec@1 41.406 (45.146) Prec@5 71.094 (70.628)
Epoch: [41][1930/5005] Time 0.200 (0.222) Data 0.050 (0.068) Loss 2.3344 (2.4287) Prec@1 48.438 (45.149) Prec@5 69.141 (70.629)
Epoch: [41][1940/5005] Time 0.205 (0.222) Data 0.046 (0.068) Loss 2.2193 (2.4284) Prec@1 47.266 (45.152) Prec@5 73.828 (70.639)
Epoch: [41][1950/5005] Time 0.203 (0.222) Data 0.040 (0.068) Loss 2.5461 (2.4284) Prec@1 43.359 (45.156) Prec@5 71.094 (70.644)
Epoch: [41][1960/5005] Time 0.206 (0.222) Data 0.041 (0.068) Loss 2.4347 (2.4281) Prec@1 42.969 (45.161) Prec@5 69.922 (70.652)
Epoch: [41][1970/5005] Time 0.280 (0.222) Data 0.201 (0.068) Loss 2.4199 (2.4284) Prec@1 43.359 (45.153) Prec@5 71.875 (70.645)
Epoch: [41][1980/5005] Time 0.206 (0.222) Data 0.047 (0.068) Loss 2.0881 (2.4282) Prec@1 51.172 (45.160) Prec@5 73.828 (70.647)
Epoch: [41][1990/5005] Time 0.201 (0.222) Data 0.042 (0.068) Loss 2.3065 (2.4278) Prec@1 46.484 (45.163) Prec@5 69.922 (70.648)
Epoch: [41][2000/5005] Time 0.202 (0.222) Data 0.047 (0.068) Loss 2.3853 (2.4280) Prec@1 47.656 (45.166) Prec@5 68.750 (70.643)
Epoch: [41][2010/5005] Time 0.205 (0.222) Data 0.042 (0.068) Loss 2.2742 (2.4281) Prec@1 46.484 (45.165) Prec@5 74.219 (70.643)
Epoch: [41][2020/5005] Time 0.291 (0.222) Data 0.197 (0.068) Loss 2.4287 (2.4282) Prec@1 44.531 (45.159) Prec@5 70.312 (70.640)
Epoch: [41][2030/5005] Time 0.204 (0.222) Data 0.049 (0.068) Loss 2.4426 (2.4284) Prec@1 44.531 (45.159) Prec@5 71.484 (70.635)
Epoch: [41][2040/5005] Time 0.485 (0.222) Data 0.401 (0.068) Loss 2.1267 (2.4281) Prec@1 51.172 (45.167) Prec@5 75.781 (70.644)
Epoch: [41][2050/5005] Time 0.197 (0.222) Data 0.124 (0.068) Loss 2.5437 (2.4278) Prec@1 47.266 (45.174) Prec@5 67.578 (70.648)
Epoch: [41][2060/5005] Time 0.201 (0.222) Data 0.049 (0.068) Loss 2.4798 (2.4278) Prec@1 44.141 (45.174) Prec@5 68.359 (70.648)
Epoch: [41][2070/5005] Time 0.193 (0.222) Data 0.058 (0.068) Loss 2.5812 (2.4280) Prec@1 42.578 (45.165) Prec@5 69.141 (70.642)
Epoch: [41][2080/5005] Time 0.207 (0.222) Data 0.047 (0.068) Loss 2.5505 (2.4280) Prec@1 39.062 (45.162) Prec@5 73.438 (70.641)
Epoch: [41][2090/5005] Time 0.204 (0.222) Data 0.044 (0.068) Loss 2.2283 (2.4274) Prec@1 45.312 (45.172) Prec@5 74.609 (70.649)
Epoch: [41][2100/5005] Time 0.202 (0.222) Data 0.047 (0.068) Loss 2.5429 (2.4273) Prec@1 40.234 (45.174) Prec@5 66.406 (70.646)
Epoch: [41][2110/5005] Time 0.204 (0.222) Data 0.042 (0.068) Loss 2.2734 (2.4273) Prec@1 47.266 (45.178) Prec@5 75.391 (70.643)
Epoch: [41][2120/5005] Time 0.682 (0.222) Data 0.607 (0.069) Loss 2.5874 (2.4275) Prec@1 40.625 (45.179) Prec@5 67.188 (70.642)
Epoch: [41][2130/5005] Time 0.258 (0.222) Data 0.175 (0.069) Loss 2.4110 (2.4271) Prec@1 47.656 (45.190) Prec@5 69.141 (70.652)
Epoch: [41][2140/5005] Time 0.201 (0.222) Data 0.044 (0.069) Loss 2.2918 (2.4271) Prec@1 46.875 (45.190) Prec@5 74.609 (70.651)
Epoch: [41][2150/5005] Time 0.207 (0.222) Data 0.044 (0.069) Loss 2.1680 (2.4271) Prec@1 50.391 (45.189) Prec@5 76.172 (70.651)
Epoch: [41][2160/5005] Time 0.192 (0.222) Data 0.088 (0.069) Loss 2.3605 (2.4269) Prec@1 45.703 (45.192) Prec@5 67.578 (70.654)
Epoch: [41][2170/5005] Time 0.202 (0.222) Data 0.045 (0.069) Loss 2.2122 (2.4264) Prec@1 48.438 (45.202) Prec@5 73.047 (70.660)
Epoch: [41][2180/5005] Time 0.202 (0.222) Data 0.044 (0.069) Loss 2.4043 (2.4264) Prec@1 47.656 (45.207) Prec@5 69.922 (70.662)
Epoch: [41][2190/5005] Time 0.193 (0.222) Data 0.044 (0.069) Loss 2.6125 (2.4263) Prec@1 47.656 (45.209) Prec@5 67.578 (70.664)
Epoch: [41][2200/5005] Time 0.210 (0.222) Data 0.041 (0.069) Loss 2.4128 (2.4263) Prec@1 47.656 (45.208) Prec@5 69.531 (70.668)
Epoch: [41][2210/5005] Time 0.283 (0.222) Data 0.195 (0.069) Loss 2.4715 (2.4266) Prec@1 42.578 (45.206) Prec@5 67.188 (70.665)
Epoch: [41][2220/5005] Time 0.196 (0.222) Data 0.049 (0.069) Loss 2.6653 (2.4265) Prec@1 43.359 (45.208) Prec@5 63.281 (70.662)
Epoch: [41][2230/5005] Time 0.203 (0.222) Data 0.045 (0.069) Loss 2.4071 (2.4264) Prec@1 49.609 (45.209) Prec@5 71.484 (70.662)
Epoch: [41][2240/5005] Time 0.213 (0.222) Data 0.039 (0.069) Loss 2.4662 (2.4265) Prec@1 45.312 (45.205) Prec@5 72.266 (70.665)
Epoch: [41][2250/5005] Time 0.208 (0.222) Data 0.051 (0.069) Loss 2.1773 (2.4264) Prec@1 48.438 (45.204) Prec@5 71.484 (70.668)
Epoch: [41][2260/5005] Time 0.194 (0.222) Data 0.049 (0.069) Loss 2.3462 (2.4260) Prec@1 42.578 (45.211) Prec@5 71.094 (70.675)
Epoch: [41][2270/5005] Time 0.205 (0.222) Data 0.041 (0.069) Loss 2.6763 (2.4258) Prec@1 40.625 (45.219) Prec@5 62.500 (70.678)
Epoch: [41][2280/5005] Time 0.210 (0.222) Data 0.042 (0.069) Loss 2.4163 (2.4258) Prec@1 46.094 (45.221) Prec@5 73.438 (70.684)
Epoch: [41][2290/5005] Time 0.202 (0.222) Data 0.084 (0.069) Loss 2.2440 (2.4256) Prec@1 46.484 (45.221) Prec@5 72.656 (70.685)
Epoch: [41][2300/5005] Time 0.211 (0.222) Data 0.053 (0.069) Loss 2.4112 (2.4258) Prec@1 46.484 (45.223) Prec@5 70.312 (70.681)
Epoch: [41][2310/5005] Time 0.200 (0.222) Data 0.056 (0.070) Loss 2.2117 (2.4256) Prec@1 46.484 (45.229) Prec@5 73.438 (70.683)
Epoch: [41][2320/5005] Time 0.192 (0.222) Data 0.056 (0.070) Loss 2.5286 (2.4256) Prec@1 42.188 (45.232) Prec@5 67.969 (70.681)
Epoch: [41][2330/5005] Time 0.301 (0.222) Data 0.217 (0.070) Loss 2.4118 (2.4254) Prec@1 49.219 (45.236) Prec@5 70.312 (70.685)
Epoch: [41][2340/5005] Time 0.324 (0.222) Data 0.244 (0.070) Loss 2.3691 (2.4251) Prec@1 43.359 (45.239) Prec@5 71.094 (70.693)
Epoch: [41][2350/5005] Time 0.192 (0.222) Data 0.091 (0.070) Loss 2.4203 (2.4249) Prec@1 46.875 (45.240) Prec@5 67.969 (70.693)
Epoch: [41][2360/5005] Time 0.200 (0.222) Data 0.041 (0.070) Loss 2.4331 (2.4249) Prec@1 45.703 (45.238) Prec@5 69.141 (70.694)
Epoch: [41][2370/5005] Time 0.200 (0.222) Data 0.060 (0.070) Loss 2.4967 (2.4250) Prec@1 46.094 (45.236) Prec@5 69.922 (70.691)
Epoch: [41][2380/5005] Time 0.201 (0.222) Data 0.087 (0.070) Loss 2.5262 (2.4248) Prec@1 43.750 (45.240) Prec@5 68.359 (70.693)
Epoch: [41][2390/5005] Time 0.204 (0.222) Data 0.044 (0.070) Loss 2.4593 (2.4247) Prec@1 43.750 (45.238) Prec@5 70.703 (70.691)
Epoch: [41][2400/5005] Time 0.198 (0.223) Data 0.044 (0.070) Loss 2.3399 (2.4246) Prec@1 45.312 (45.233) Prec@5 73.828 (70.696)
Epoch: [41][2410/5005] Time 0.203 (0.222) Data 0.091 (0.070) Loss 2.5690 (2.4246) Prec@1 41.016 (45.235) Prec@5 67.969 (70.692)
Epoch: [41][2420/5005] Time 0.216 (0.222) Data 0.046 (0.070) Loss 2.5663 (2.4245) Prec@1 41.016 (45.238) Prec@5 67.188 (70.691)
Epoch: [41][2430/5005] Time 0.205 (0.222) Data 0.040 (0.070) Loss 2.2301 (2.4245) Prec@1 47.656 (45.232) Prec@5 70.703 (70.689)
Epoch: [41][2440/5005] Time 0.204 (0.222) Data 0.041 (0.070) Loss 2.2180 (2.4242) Prec@1 50.391 (45.243) Prec@5 73.047 (70.690)
Epoch: [41][2450/5005] Time 0.211 (0.222) Data 0.044 (0.070) Loss 2.3178 (2.4241) Prec@1 47.266 (45.241) Prec@5 69.922 (70.692)
Epoch: [41][2460/5005] Time 0.203 (0.222) Data 0.043 (0.070) Loss 2.4214 (2.4238) Prec@1 43.750 (45.243) Prec@5 72.266 (70.691)
Epoch: [41][2470/5005] Time 0.198 (0.222) Data 0.044 (0.070) Loss 2.3322 (2.4236) Prec@1 43.359 (45.248) Prec@5 71.484 (70.693)
Epoch: [41][2480/5005] Time 0.200 (0.222) Data 0.043 (0.070) Loss 2.4884 (2.4238) Prec@1 42.188 (45.244) Prec@5 72.656 (70.692)
Epoch: [41][2490/5005] Time 0.200 (0.222) Data 0.047 (0.070) Loss 2.3288 (2.4238) Prec@1 47.656 (45.246) Prec@5 74.219 (70.694)
Epoch: [41][2500/5005] Time 0.206 (0.222) Data 0.043 (0.070) Loss 2.4960 (2.4238) Prec@1 40.625 (45.248) Prec@5 69.531 (70.694)
Epoch: [41][2510/5005] Time 0.205 (0.222) Data 0.041 (0.070) Loss 2.5151 (2.4238) Prec@1 44.141 (45.246) Prec@5 71.484 (70.691)
Epoch: [41][2520/5005] Time 0.670 (0.223) Data 0.573 (0.070) Loss 2.3350 (2.4239) Prec@1 47.656 (45.250) Prec@5 72.266 (70.689)
Epoch: [41][2530/5005] Time 0.230 (0.222) Data 0.149 (0.070) Loss 2.5210 (2.4240) Prec@1 42.969 (45.246) Prec@5 67.969 (70.686)
Epoch: [41][2540/5005] Time 0.203 (0.222) Data 0.047 (0.071) Loss 2.4827 (2.4240) Prec@1 46.094 (45.248) Prec@5 70.312 (70.686)
Epoch: [41][2550/5005] Time 0.204 (0.222) Data 0.045 (0.070) Loss 2.4687 (2.4240) Prec@1 43.750 (45.251) Prec@5 69.531 (70.689)
Epoch: [41][2560/5005] Time 0.198 (0.223) Data 0.063 (0.071) Loss 2.6287 (2.4242) Prec@1 42.578 (45.248) Prec@5 69.141 (70.688)
Epoch: [41][2570/5005] Time 0.210 (0.222) Data 0.048 (0.070) Loss 2.5166 (2.4243) Prec@1 40.234 (45.243) Prec@5 68.359 (70.686)
Epoch: [41][2580/5005] Time 0.213 (0.222) Data 0.040 (0.070) Loss 2.4635 (2.4246) Prec@1 44.922 (45.238) Prec@5 73.438 (70.681)
Epoch: [41][2590/5005] Time 0.311 (0.222) Data 0.228 (0.070) Loss 2.6194 (2.4245) Prec@1 44.141 (45.241) Prec@5 68.750 (70.683)
Epoch: [41][2600/5005] Time 0.206 (0.222) Data 0.061 (0.071) Loss 2.6345 (2.4247) Prec@1 38.672 (45.239) Prec@5 67.188 (70.677)
Epoch: [41][2610/5005] Time 0.195 (0.222) Data 0.047 (0.071) Loss 2.5761 (2.4244) Prec@1 42.578 (45.242) Prec@5 68.750 (70.678)
Epoch: [41][2620/5005] Time 0.211 (0.222) Data 0.044 (0.071) Loss 2.3453 (2.4244) Prec@1 48.828 (45.244) Prec@5 69.141 (70.677)
Epoch: [41][2630/5005] Time 0.205 (0.222) Data 0.049 (0.071) Loss 2.6239 (2.4248) Prec@1 42.969 (45.237) Prec@5 68.359 (70.671)
Epoch: [41][2640/5005] Time 0.201 (0.222) Data 0.049 (0.071) Loss 2.6320 (2.4249) Prec@1 39.062 (45.237) Prec@5 66.797 (70.669)
Epoch: [41][2650/5005] Time 0.198 (0.222) Data 0.045 (0.071) Loss 2.5809 (2.4248) Prec@1 41.016 (45.239) Prec@5 67.969 (70.667)
Epoch: [41][2660/5005] Time 0.193 (0.222) Data 0.113 (0.071) Loss 2.4970 (2.4249) Prec@1 42.188 (45.234) Prec@5 69.141 (70.663)
Epoch: [41][2670/5005] Time 0.467 (0.223) Data 0.380 (0.071) Loss 2.1209 (2.4246) Prec@1 50.391 (45.239) Prec@5 73.047 (70.666)
Epoch: [41][2680/5005] Time 0.201 (0.223) Data 0.064 (0.071) Loss 2.3351 (2.4247) Prec@1 48.047 (45.232) Prec@5 75.781 (70.666)
Epoch: [41][2690/5005] Time 0.209 (0.223) Data 0.051 (0.071) Loss 2.3627 (2.4246) Prec@1 47.656 (45.232) Prec@5 72.266 (70.667)
Epoch: [41][2700/5005] Time 0.223 (0.223) Data 0.043 (0.071) Loss 2.4411 (2.4245) Prec@1 42.188 (45.231) Prec@5 70.703 (70.669)
Epoch: [41][2710/5005] Time 0.197 (0.223) Data 0.049 (0.072) Loss 2.2747 (2.4247) Prec@1 47.266 (45.225) Prec@5 71.094 (70.664)
Epoch: [41][2720/5005] Time 0.204 (0.223) Data 0.050 (0.072) Loss 2.1661 (2.4248) Prec@1 53.125 (45.223) Prec@5 76.562 (70.667)
Epoch: [41][2730/5005] Time 0.188 (0.223) Data 0.047 (0.072) Loss 2.5586 (2.4246) Prec@1 40.234 (45.224) Prec@5 67.969 (70.669)
Epoch: [41][2740/5005] Time 0.208 (0.223) Data 0.043 (0.072) Loss 2.4120 (2.4246) Prec@1 47.266 (45.225) Prec@5 72.266 (70.672)
Epoch: [41][2750/5005] Time 0.325 (0.223) Data 0.240 (0.072) Loss 2.3666 (2.4246) Prec@1 46.094 (45.225) Prec@5 72.656 (70.672)
Epoch: [41][2760/5005] Time 0.201 (0.223) Data 0.049 (0.072) Loss 2.3693 (2.4244) Prec@1 45.312 (45.229) Prec@5 72.656 (70.676)
Epoch: [41][2770/5005] Time 0.197 (0.223) Data 0.097 (0.072) Loss 2.4215 (2.4245) Prec@1 44.141 (45.226) Prec@5 71.094 (70.674)
Epoch: [41][2780/5005] Time 0.200 (0.223) Data 0.050 (0.072) Loss 2.6771 (2.4244) Prec@1 40.625 (45.231) Prec@5 67.188 (70.677)
Epoch: [41][2790/5005] Time 0.398 (0.223) Data 0.314 (0.072) Loss 2.6749 (2.4247) Prec@1 39.844 (45.229) Prec@5 62.109 (70.672)
Epoch: [41][2800/5005] Time 0.210 (0.223) Data 0.043 (0.072) Loss 2.2033 (2.4246) Prec@1 50.391 (45.236) Prec@5 76.953 (70.676)
Epoch: [41][2810/5005] Time 0.199 (0.223) Data 0.046 (0.072) Loss 2.5871 (2.4246) Prec@1 42.188 (45.236) Prec@5 67.969 (70.673)
Epoch: [41][2820/5005] Time 0.203 (0.223) Data 0.047 (0.072) Loss 2.1744 (2.4246) Prec@1 44.922 (45.232) Prec@5 73.438 (70.677)
Epoch: [41][2830/5005] Time 0.216 (0.223) Data 0.042 (0.072) Loss 2.7136 (2.4248) Prec@1 37.109 (45.225) Prec@5 66.797 (70.673)
Epoch: [41][2840/5005] Time 0.209 (0.223) Data 0.047 (0.072) Loss 2.4899 (2.4247) Prec@1 44.141 (45.222) Prec@5 70.703 (70.674)
Epoch: [41][2850/5005] Time 0.345 (0.223) Data 0.269 (0.072) Loss 2.4598 (2.4246) Prec@1 44.922 (45.227) Prec@5 67.969 (70.677)
Epoch: [41][2860/5005] Time 0.202 (0.223) Data 0.048 (0.072) Loss 2.3662 (2.4247) Prec@1 44.922 (45.226) Prec@5 70.703 (70.674)
Epoch: [41][2870/5005] Time 0.202 (0.223) Data 0.041 (0.072) Loss 2.2766 (2.4244) Prec@1 46.484 (45.233) Prec@5 75.000 (70.680)
Epoch: [41][2880/5005] Time 0.198 (0.223) Data 0.045 (0.072) Loss 2.3888 (2.4244) Prec@1 42.969 (45.234) Prec@5 73.438 (70.677)
Epoch: [41][2890/5005] Time 0.206 (0.223) Data 0.055 (0.072) Loss 2.4865 (2.4244) Prec@1 44.531 (45.234) Prec@5 69.141 (70.673)
Epoch: [41][2900/5005] Time 0.201 (0.223) Data 0.047 (0.072) Loss 2.2032 (2.4242) Prec@1 51.172 (45.242) Prec@5 75.391 (70.680)
Epoch: [41][2910/5005] Time 0.198 (0.223) Data 0.050 (0.072) Loss 2.3664 (2.4242) Prec@1 44.922 (45.242) Prec@5 71.484 (70.683)
Epoch: [41][2920/5005] Time 0.203 (0.223) Data 0.045 (0.072) Loss 2.4946 (2.4242) Prec@1 43.359 (45.243) Prec@5 68.359 (70.682)
Epoch: [41][2930/5005] Time 0.198 (0.223) Data 0.112 (0.072) Loss 2.5660 (2.4242) Prec@1 41.406 (45.242) Prec@5 70.703 (70.681)
Epoch: [41][2940/5005] Time 0.195 (0.223) Data 0.055 (0.072) Loss 2.5299 (2.4241) Prec@1 44.531 (45.246) Prec@5 69.531 (70.684)
Epoch: [41][2950/5005] Time 0.200 (0.223) Data 0.050 (0.072) Loss 2.6742 (2.4238) Prec@1 39.062 (45.251) Prec@5 67.969 (70.690)
Epoch: [41][2960/5005] Time 0.199 (0.223) Data 0.047 (0.072) Loss 2.3784 (2.4236) Prec@1 46.484 (45.257) Prec@5 70.703 (70.689)
Epoch: [41][2970/5005] Time 0.459 (0.223) Data 0.373 (0.073) Loss 2.6033 (2.4235) Prec@1 42.969 (45.258) Prec@5 66.797 (70.691)
Epoch: [41][2980/5005] Time 0.270 (0.223) Data 0.185 (0.073) Loss 2.4987 (2.4235) Prec@1 41.406 (45.259) Prec@5 69.531 (70.692)
Epoch: [41][2990/5005] Time 0.219 (0.223) Data 0.047 (0.073) Loss 2.4132 (2.4235) Prec@1 43.750 (45.257) Prec@5 73.047 (70.696)
Epoch: [41][3000/5005] Time 0.207 (0.223) Data 0.043 (0.073) Loss 2.4139 (2.4234) Prec@1 44.531 (45.261) Prec@5 73.828 (70.699)
Epoch: [41][3010/5005] Time 0.197 (0.223) Data 0.047 (0.073) Loss 2.4148 (2.4234) Prec@1 42.578 (45.259) Prec@5 71.094 (70.698)
Epoch: [41][3020/5005] Time 0.202 (0.223) Data 0.040 (0.073) Loss 2.2396 (2.4233) Prec@1 43.750 (45.258) Prec@5 70.703 (70.698)
Epoch: [41][3030/5005] Time 0.205 (0.223) Data 0.088 (0.073) Loss 2.4961 (2.4233) Prec@1 47.656 (45.260) Prec@5 70.703 (70.698)
Epoch: [41][3040/5005] Time 0.202 (0.223) Data 0.044 (0.073) Loss 2.4001 (2.4233) Prec@1 48.828 (45.266) Prec@5 72.266 (70.698)
Epoch: [41][3050/5005] Time 0.204 (0.223) Data 0.045 (0.073) Loss 2.4581 (2.4233) Prec@1 42.578 (45.264) Prec@5 73.047 (70.699)
Epoch: [41][3060/5005] Time 0.643 (0.223) Data 0.552 (0.073) Loss 2.4236 (2.4232) Prec@1 46.484 (45.265) Prec@5 69.531 (70.699)
Epoch: [41][3070/5005] Time 0.204 (0.223) Data 0.044 (0.073) Loss 2.4124 (2.4233) Prec@1 41.406 (45.263) Prec@5 69.141 (70.695)
Epoch: [41][3080/5005] Time 0.206 (0.223) Data 0.043 (0.073) Loss 2.4286 (2.4236) Prec@1 42.969 (45.255) Prec@5 69.922 (70.688)
Epoch: [41][3090/5005] Time 0.205 (0.223) Data 0.041 (0.073) Loss 2.5872 (2.4236) Prec@1 43.750 (45.255) Prec@5 67.578 (70.687)
Epoch: [41][3100/5005] Time 0.239 (0.223) Data 0.156 (0.073) Loss 2.3866 (2.4236) Prec@1 43.750 (45.253) Prec@5 67.578 (70.687)
Epoch: [41][3110/5005] Time 0.201 (0.223) Data 0.094 (0.073) Loss 2.2508 (2.4233) Prec@1 47.266 (45.257) Prec@5 75.000 (70.691)
Epoch: [41][3120/5005] Time 0.205 (0.223) Data 0.045 (0.073) Loss 2.5557 (2.4233) Prec@1 40.234 (45.254) Prec@5 71.875 (70.694)
Epoch: [41][3130/5005] Time 0.194 (0.223) Data 0.056 (0.073) Loss 2.5174 (2.4230) Prec@1 40.234 (45.259) Prec@5 68.750 (70.700)
Epoch: [41][3140/5005] Time 0.198 (0.223) Data 0.079 (0.073) Loss 2.1874 (2.4229) Prec@1 50.781 (45.263) Prec@5 73.047 (70.701)
Epoch: [41][3150/5005] Time 0.214 (0.223) Data 0.045 (0.073) Loss 2.3475 (2.4228) Prec@1 47.656 (45.268) Prec@5 71.484 (70.705)
Epoch: [41][3160/5005] Time 0.209 (0.223) Data 0.044 (0.073) Loss 2.2663 (2.4228) Prec@1 48.047 (45.273) Prec@5 71.875 (70.704)
Epoch: [41][3170/5005] Time 0.193 (0.223) Data 0.092 (0.073) Loss 2.4373 (2.4228) Prec@1 44.922 (45.273) Prec@5 71.094 (70.704)
Epoch: [41][3180/5005] Time 0.208 (0.223) Data 0.041 (0.073) Loss 2.3185 (2.4229) Prec@1 50.391 (45.271) Prec@5 74.219 (70.707)
Epoch: [41][3190/5005] Time 0.204 (0.223) Data 0.045 (0.073) Loss 2.4813 (2.4229) Prec@1 45.312 (45.271) Prec@5 67.578 (70.708)
Epoch: [41][3200/5005] Time 0.220 (0.223) Data 0.041 (0.073) Loss 2.3801 (2.4228) Prec@1 46.094 (45.274) Prec@5 71.484 (70.711)
Epoch: [41][3210/5005] Time 0.197 (0.223) Data 0.095 (0.073) Loss 2.4408 (2.4227) Prec@1 46.094 (45.276) Prec@5 69.141 (70.712)
Epoch: [41][3220/5005] Time 0.191 (0.223) Data 0.094 (0.073) Loss 2.4744 (2.4226) Prec@1 45.312 (45.280) Prec@5 72.656 (70.716)
Epoch: [41][3230/5005] Time 0.550 (0.223) Data 0.468 (0.073) Loss 2.3241 (2.4224) Prec@1 46.484 (45.285) Prec@5 72.266 (70.722)
Epoch: [41][3240/5005] Time 0.193 (0.223) Data 0.047 (0.073) Loss 2.6642 (2.4227) Prec@1 41.797 (45.281) Prec@5 67.969 (70.719)
Epoch: [41][3250/5005] Time 0.198 (0.223) Data 0.050 (0.073) Loss 2.4926 (2.4228) Prec@1 41.797 (45.278) Prec@5 72.656 (70.720)
Epoch: [41][3260/5005] Time 0.201 (0.223) Data 0.045 (0.073) Loss 2.3932 (2.4229) Prec@1 44.141 (45.275) Prec@5 71.484 (70.720)
Epoch: [41][3270/5005] Time 0.194 (0.223) Data 0.043 (0.073) Loss 2.5403 (2.4229) Prec@1 47.266 (45.276) Prec@5 67.969 (70.718)
Epoch: [41][3280/5005] Time 0.782 (0.223) Data 0.695 (0.074) Loss 2.3913 (2.4230) Prec@1 48.438 (45.272) Prec@5 69.922 (70.718)
Epoch: [41][3290/5005] Time 0.193 (0.223) Data 0.064 (0.074) Loss 2.4709 (2.4229) Prec@1 46.094 (45.269) Prec@5 67.188 (70.721)
Epoch: [41][3300/5005] Time 0.266 (0.223) Data 0.185 (0.074) Loss 2.3641 (2.4229) Prec@1 42.188 (45.271) Prec@5 72.656 (70.723)
Epoch: [41][3310/5005] Time 0.212 (0.223) Data 0.043 (0.074) Loss 2.3527 (2.4229) Prec@1 45.703 (45.269) Prec@5 71.094 (70.724)
Epoch: [41][3320/5005] Time 0.205 (0.223) Data 0.053 (0.074) Loss 2.4994 (2.4229) Prec@1 44.922 (45.269) Prec@5 67.188 (70.724)
Epoch: [41][3330/5005] Time 0.657 (0.223) Data 0.564 (0.074) Loss 2.4114 (2.4229) Prec@1 43.750 (45.268) Prec@5 71.875 (70.724)
Epoch: [41][3340/5005] Time 0.204 (0.223) Data 0.086 (0.074) Loss 2.5977 (2.4229) Prec@1 45.312 (45.271) Prec@5 67.969 (70.721)
Epoch: [41][3350/5005] Time 0.206 (0.223) Data 0.039 (0.074) Loss 2.4962 (2.4229) Prec@1 42.188 (45.268) Prec@5 69.141 (70.725)
Epoch: [41][3360/5005] Time 0.187 (0.223) Data 0.053 (0.074) Loss 2.5477 (2.4229) Prec@1 46.875 (45.267) Prec@5 69.141 (70.723)
Epoch: [41][3370/5005] Time 0.201 (0.223) Data 0.048 (0.074) Loss 2.3711 (2.4230) Prec@1 40.234 (45.264) Prec@5 72.266 (70.722)
Epoch: [41][3380/5005] Time 0.196 (0.223) Data 0.048 (0.074) Loss 2.2692 (2.4229) Prec@1 48.438 (45.266) Prec@5 74.609 (70.723)
Epoch: [41][3390/5005] Time 0.202 (0.223) Data 0.049 (0.074) Loss 2.4386 (2.4231) Prec@1 42.969 (45.261) Prec@5 73.047 (70.720)
Epoch: [41][3400/5005] Time 0.201 (0.223) Data 0.038 (0.074) Loss 2.3715 (2.4231) Prec@1 45.312 (45.263) Prec@5 70.312 (70.720)
Epoch: [41][3410/5005] Time 0.633 (0.223) Data 0.545 (0.074) Loss 2.2953 (2.4230) Prec@1 49.609 (45.266) Prec@5 73.438 (70.721)
Epoch: [41][3420/5005] Time 0.197 (0.223) Data 0.046 (0.074) Loss 2.2928 (2.4230) Prec@1 44.531 (45.264) Prec@5 75.781 (70.723)
Epoch: [41][3430/5005] Time 0.208 (0.223) Data 0.051 (0.074) Loss 2.4974 (2.4230) Prec@1 42.188 (45.263) Prec@5 67.188 (70.722)
Epoch: [41][3440/5005] Time 0.206 (0.223) Data 0.045 (0.074) Loss 2.4855 (2.4229) Prec@1 42.969 (45.267) Prec@5 67.969 (70.726)
Epoch: [41][3450/5005] Time 0.580 (0.223) Data 0.503 (0.074) Loss 2.3430 (2.4228) Prec@1 46.094 (45.269) Prec@5 68.750 (70.727)
Epoch: [41][3460/5005] Time 0.203 (0.223) Data 0.047 (0.074) Loss 2.3027 (2.4228) Prec@1 49.609 (45.272) Prec@5 71.094 (70.725)
Epoch: [41][3470/5005] Time 0.204 (0.223) Data 0.051 (0.074) Loss 2.2765 (2.4226) Prec@1 48.828 (45.278) Prec@5 72.656 (70.727)
Epoch: [41][3480/5005] Time 0.258 (0.223) Data 0.174 (0.074) Loss 2.4885 (2.4225) Prec@1 43.750 (45.278) Prec@5 68.359 (70.730)
Epoch: [41][3490/5005] Time 0.195 (0.223) Data 0.046 (0.074) Loss 2.5770 (2.4226) Prec@1 41.016 (45.277) Prec@5 68.359 (70.727)
Epoch: [41][3500/5005] Time 0.201 (0.223) Data 0.046 (0.074) Loss 2.2617 (2.4227) Prec@1 43.359 (45.273) Prec@5 76.953 (70.727)
Epoch: [41][3510/5005] Time 0.202 (0.223) Data 0.045 (0.074) Loss 2.2444 (2.4226) Prec@1 48.438 (45.273) Prec@5 69.922 (70.730)
Epoch: [41][3520/5005] Time 0.209 (0.223) Data 0.063 (0.074) Loss 2.5387 (2.4227) Prec@1 45.312 (45.271) Prec@5 67.969 (70.728)
Epoch: [41][3530/5005] Time 0.208 (0.223) Data 0.043 (0.074) Loss 2.3280 (2.4225) Prec@1 47.266 (45.278) Prec@5 72.266 (70.730)
Epoch: [41][3540/5005] Time 0.196 (0.223) Data 0.042 (0.074) Loss 2.2668 (2.4224) Prec@1 48.438 (45.280) Prec@5 71.484 (70.730)
Epoch: [41][3550/5005] Time 0.217 (0.223) Data 0.046 (0.074) Loss 2.3846 (2.4222) Prec@1 42.578 (45.285) Prec@5 70.703 (70.732)
Epoch: [41][3560/5005] Time 0.204 (0.223) Data 0.043 (0.074) Loss 2.5779 (2.4221) Prec@1 42.578 (45.288) Prec@5 67.578 (70.729)
Epoch: [41][3570/5005] Time 0.544 (0.223) Data 0.452 (0.074) Loss 2.5452 (2.4220) Prec@1 44.141 (45.288) Prec@5 67.969 (70.731)
Epoch: [41][3580/5005] Time 0.198 (0.223) Data 0.051 (0.074) Loss 2.4920 (2.4222) Prec@1 44.531 (45.286) Prec@5 68.750 (70.729)
Epoch: [41][3590/5005] Time 0.207 (0.223) Data 0.039 (0.074) Loss 2.4931 (2.4219) Prec@1 44.141 (45.294) Prec@5 66.016 (70.733)
Epoch: [41][3600/5005] Time 0.203 (0.223) Data 0.049 (0.074) Loss 2.4645 (2.4218) Prec@1 47.656 (45.294) Prec@5 66.406 (70.734)
Epoch: [41][3610/5005] Time 0.205 (0.223) Data 0.058 (0.074) Loss 2.3191 (2.4219) Prec@1 46.484 (45.294) Prec@5 71.094 (70.732)
Epoch: [41][3620/5005] Time 0.202 (0.223) Data 0.047 (0.074) Loss 2.5346 (2.4217) Prec@1 44.531 (45.299) Prec@5 66.406 (70.734)
Epoch: [41][3630/5005] Time 0.195 (0.223) Data 0.048 (0.074) Loss 2.7155 (2.4217) Prec@1 42.188 (45.298) Prec@5 67.188 (70.734)
Epoch: [41][3640/5005] Time 0.194 (0.223) Data 0.046 (0.074) Loss 2.4195 (2.4217) Prec@1 44.531 (45.298) Prec@5 68.359 (70.735)
Epoch: [41][3650/5005] Time 0.206 (0.223) Data 0.045 (0.074) Loss 2.1722 (2.4217) Prec@1 51.172 (45.296) Prec@5 75.000 (70.735)
Epoch: [41][3660/5005] Time 0.203 (0.223) Data 0.050 (0.074) Loss 2.4887 (2.4216) Prec@1 41.797 (45.296) Prec@5 71.875 (70.740)
Epoch: [41][3670/5005] Time 0.205 (0.223) Data 0.047 (0.074) Loss 2.4567 (2.4216) Prec@1 45.703 (45.298) Prec@5 69.922 (70.740)
Epoch: [41][3680/5005] Time 0.625 (0.223) Data 0.540 (0.074) Loss 2.2242 (2.4216) Prec@1 46.484 (45.297) Prec@5 75.000 (70.739)
Epoch: [41][3690/5005] Time 0.198 (0.223) Data 0.082 (0.074) Loss 2.2125 (2.4215) Prec@1 50.391 (45.297) Prec@5 73.828 (70.742)
Epoch: [41][3700/5005] Time 0.195 (0.223) Data 0.043 (0.074) Loss 2.4645 (2.4215) Prec@1 43.750 (45.297) Prec@5 70.312 (70.743)
Epoch: [41][3710/5005] Time 0.194 (0.223) Data 0.049 (0.074) Loss 2.4549 (2.4215) Prec@1 46.875 (45.294) Prec@5 69.531 (70.744)
Epoch: [41][3720/5005] Time 0.198 (0.223) Data 0.049 (0.074) Loss 2.4427 (2.4214) Prec@1 44.141 (45.293) Prec@5 73.828 (70.747)
Epoch: [41][3730/5005] Time 0.195 (0.223) Data 0.047 (0.074) Loss 2.1644 (2.4212) Prec@1 47.656 (45.295) Prec@5 75.391 (70.749)
Epoch: [41][3740/5005] Time 0.203 (0.223) Data 0.090 (0.074) Loss 2.3648 (2.4209) Prec@1 48.438 (45.299) Prec@5 73.438 (70.754)
Epoch: [41][3750/5005] Time 0.186 (0.223) Data 0.045 (0.074) Loss 2.3131 (2.4210) Prec@1 44.531 (45.294) Prec@5 75.781 (70.753)
Epoch: [41][3760/5005] Time 0.200 (0.223) Data 0.040 (0.074) Loss 2.4061 (2.4211) Prec@1 45.703 (45.289) Prec@5 70.703 (70.752)
Epoch: [41][3770/5005] Time 0.208 (0.223) Data 0.040 (0.074) Loss 2.5630 (2.4210) Prec@1 44.141 (45.291) Prec@5 69.141 (70.756)
Epoch: [41][3780/5005] Time 0.199 (0.223) Data 0.049 (0.074) Loss 2.3615 (2.4210) Prec@1 43.750 (45.291) Prec@5 71.875 (70.757)
Epoch: [41][3790/5005] Time 0.214 (0.223) Data 0.128 (0.074) Loss 2.5053 (2.4211) Prec@1 42.578 (45.287) Prec@5 69.141 (70.757)
Epoch: [41][3800/5005] Time 0.193 (0.223) Data 0.044 (0.074) Loss 2.1724 (2.4211) Prec@1 46.875 (45.285) Prec@5 73.828 (70.754)
Epoch: [41][3810/5005] Time 0.210 (0.223) Data 0.045 (0.074) Loss 2.4734 (2.4213) Prec@1 44.141 (45.283) Prec@5 68.359 (70.749)
Epoch: [41][3820/5005] Time 0.199 (0.223) Data 0.045 (0.074) Loss 2.3683 (2.4212) Prec@1 44.141 (45.284) Prec@5 73.438 (70.754)
Epoch: [41][3830/5005] Time 0.198 (0.223) Data 0.047 (0.074) Loss 2.3671 (2.4210) Prec@1 44.141 (45.288) Prec@5 70.703 (70.758)
Epoch: [41][3840/5005] Time 0.205 (0.223) Data 0.047 (0.074) Loss 2.6705 (2.4210) Prec@1 39.062 (45.286) Prec@5 66.406 (70.755)
Epoch: [41][3850/5005] Time 0.191 (0.223) Data 0.050 (0.074) Loss 2.5005 (2.4211) Prec@1 42.969 (45.283) Prec@5 71.484 (70.757)
Epoch: [41][3860/5005] Time 0.202 (0.223) Data 0.124 (0.074) Loss 2.2517 (2.4210) Prec@1 49.609 (45.282) Prec@5 73.047 (70.757)
Epoch: [41][3870/5005] Time 0.205 (0.223) Data 0.049 (0.074) Loss 2.2724 (2.4211) Prec@1 44.922 (45.279) Prec@5 73.047 (70.753)
Epoch: [41][3880/5005] Time 0.200 (0.223) Data 0.048 (0.074) Loss 2.3321 (2.4210) Prec@1 49.609 (45.280) Prec@5 71.094 (70.752)
Epoch: [41][3890/5005] Time 0.196 (0.223) Data 0.054 (0.074) Loss 2.6130 (2.4210) Prec@1 44.531 (45.281) Prec@5 67.969 (70.755)
Epoch: [41][3900/5005] Time 0.316 (0.223) Data 0.230 (0.074) Loss 2.6329 (2.4211) Prec@1 40.234 (45.279) Prec@5 68.750 (70.754)
Epoch: [41][3910/5005] Time 0.204 (0.223) Data 0.040 (0.074) Loss 2.4610 (2.4211) Prec@1 43.750 (45.280) Prec@5 68.750 (70.753)
Epoch: [41][3920/5005] Time 0.403 (0.223) Data 0.311 (0.074) Loss 2.4704 (2.4211) Prec@1 44.922 (45.285) Prec@5 71.484 (70.753)
Epoch: [41][3930/5005] Time 0.209 (0.223) Data 0.040 (0.074) Loss 2.4671 (2.4208) Prec@1 44.922 (45.288) Prec@5 68.359 (70.759)
Epoch: [41][3940/5005] Time 0.210 (0.223) Data 0.044 (0.074) Loss 2.3067 (2.4207) Prec@1 50.391 (45.287) Prec@5 71.484 (70.760)
Epoch: [41][3950/5005] Time 0.206 (0.223) Data 0.041 (0.074) Loss 2.2953 (2.4205) Prec@1 46.094 (45.291) Prec@5 73.047 (70.765)
Epoch: [41][3960/5005] Time 0.204 (0.223) Data 0.120 (0.074) Loss 2.3139 (2.4205) Prec@1 46.094 (45.288) Prec@5 71.484 (70.767)
Epoch: [41][3970/5005] Time 0.206 (0.223) Data 0.048 (0.074) Loss 2.3872 (2.4206) Prec@1 47.656 (45.284) Prec@5 72.656 (70.766)
Epoch: [41][3980/5005] Time 0.195 (0.224) Data 0.049 (0.074) Loss 2.2900 (2.4205) Prec@1 47.266 (45.287) Prec@5 73.438 (70.769)
Epoch: [41][3990/5005] Time 0.205 (0.223) Data 0.040 (0.074) Loss 2.5210 (2.4205) Prec@1 45.703 (45.285) Prec@5 70.312 (70.770)
Epoch: [41][4000/5005] Time 0.203 (0.223) Data 0.102 (0.074) Loss 2.3575 (2.4205) Prec@1 42.969 (45.282) Prec@5 71.875 (70.770)
Epoch: [41][4010/5005] Time 0.204 (0.223) Data 0.051 (0.074) Loss 2.4336 (2.4203) Prec@1 46.484 (45.286) Prec@5 69.531 (70.774)
Epoch: [41][4020/5005] Time 0.194 (0.223) Data 0.083 (0.074) Loss 2.4501 (2.4203) Prec@1 44.922 (45.282) Prec@5 72.656 (70.775)
Epoch: [41][4030/5005] Time 0.208 (0.223) Data 0.130 (0.074) Loss 2.6053 (2.4206) Prec@1 44.531 (45.279) Prec@5 68.359 (70.769)
Epoch: [41][4040/5005] Time 0.203 (0.223) Data 0.044 (0.074) Loss 2.4738 (2.4208) Prec@1 45.312 (45.275) Prec@5 69.141 (70.766)
Epoch: [41][4050/5005] Time 0.211 (0.223) Data 0.131 (0.074) Loss 2.6264 (2.4207) Prec@1 44.141 (45.277) Prec@5 65.625 (70.767)
Epoch: [41][4060/5005] Time 0.199 (0.223) Data 0.082 (0.074) Loss 2.4332 (2.4207) Prec@1 44.922 (45.274) Prec@5 69.531 (70.766)
Epoch: [41][4070/5005] Time 0.204 (0.223) Data 0.045 (0.074) Loss 2.5902 (2.4208) Prec@1 43.750 (45.272) Prec@5 69.531 (70.766)
Epoch: [41][4080/5005] Time 0.204 (0.223) Data 0.126 (0.074) Loss 2.3944 (2.4209) Prec@1 46.094 (45.274) Prec@5 70.312 (70.765)
Epoch: [41][4090/5005] Time 0.197 (0.223) Data 0.050 (0.074) Loss 2.4633 (2.4209) Prec@1 48.828 (45.275) Prec@5 70.703 (70.767)
Epoch: [41][4100/5005] Time 0.255 (0.223) Data 0.169 (0.074) Loss 2.3277 (2.4208) Prec@1 42.578 (45.273) Prec@5 72.656 (70.766)
Epoch: [41][4110/5005] Time 0.198 (0.223) Data 0.046 (0.074) Loss 2.5266 (2.4208) Prec@1 44.141 (45.275) Prec@5 69.922 (70.766)
Epoch: [41][4120/5005] Time 0.203 (0.223) Data 0.052 (0.074) Loss 2.3499 (2.4207) Prec@1 51.562 (45.277) Prec@5 72.266 (70.767)
Epoch: [41][4130/5005] Time 0.197 (0.223) Data 0.061 (0.074) Loss 2.6750 (2.4208) Prec@1 41.016 (45.276) Prec@5 63.672 (70.765)
Epoch: [41][4140/5005] Time 0.199 (0.223) Data 0.042 (0.075) Loss 2.4373 (2.4206) Prec@1 46.484 (45.277) Prec@5 69.531 (70.768)
Epoch: [41][4150/5005] Time 0.270 (0.223) Data 0.190 (0.075) Loss 2.5736 (2.4207) Prec@1 42.969 (45.275) Prec@5 68.359 (70.768)
Epoch: [41][4160/5005] Time 0.203 (0.223) Data 0.048 (0.075) Loss 2.2899 (2.4208) Prec@1 46.484 (45.273) Prec@5 73.438 (70.766)
Epoch: [41][4170/5005] Time 0.206 (0.223) Data 0.043 (0.075) Loss 2.2966 (2.4207) Prec@1 42.188 (45.275) Prec@5 74.219 (70.770)
Epoch: [41][4180/5005] Time 0.199 (0.223) Data 0.045 (0.075) Loss 2.3408 (2.4206) Prec@1 46.875 (45.275) Prec@5 72.656 (70.770)
Epoch: [41][4190/5005] Time 0.205 (0.224) Data 0.046 (0.075) Loss 2.2904 (2.4206) Prec@1 47.656 (45.277) Prec@5 71.094 (70.768)
Epoch: [41][4200/5005] Time 0.192 (0.224) Data 0.051 (0.075) Loss 2.1836 (2.4206) Prec@1 47.656 (45.278) Prec@5 75.391 (70.770)
Epoch: [41][4210/5005] Time 0.202 (0.223) Data 0.041 (0.075) Loss 2.3113 (2.4205) Prec@1 45.703 (45.277) Prec@5 75.391 (70.773)
Epoch: [41][4220/5005] Time 0.218 (0.223) Data 0.138 (0.075) Loss 2.6171 (2.4207) Prec@1 41.016 (45.274) Prec@5 69.141 (70.770)
Epoch: [41][4230/5005] Time 0.478 (0.224) Data 0.393 (0.075) Loss 2.4307 (2.4207) Prec@1 43.750 (45.273) Prec@5 71.094 (70.769)
Epoch: [41][4240/5005] Time 0.193 (0.224) Data 0.049 (0.075) Loss 2.2692 (2.4208) Prec@1 44.922 (45.269) Prec@5 76.172 (70.769)
Epoch: [41][4250/5005] Time 0.207 (0.224) Data 0.047 (0.075) Loss 2.2748 (2.4206) Prec@1 48.828 (45.272) Prec@5 70.703 (70.770)
Epoch: [41][4260/5005] Time 0.207 (0.223) Data 0.049 (0.075) Loss 2.3189 (2.4206) Prec@1 43.750 (45.268) Prec@5 71.875 (70.768)
Epoch: [41][4270/5005] Time 0.196 (0.223) Data 0.045 (0.075) Loss 2.6480 (2.4207) Prec@1 43.359 (45.266) Prec@5 67.188 (70.767)
Epoch: [41][4280/5005] Time 0.289 (0.223) Data 0.199 (0.075) Loss 2.5179 (2.4207) Prec@1 37.891 (45.265) Prec@5 69.531 (70.766)
Epoch: [41][4290/5005] Time 0.205 (0.223) Data 0.047 (0.075) Loss 2.5556 (2.4207) Prec@1 42.969 (45.263) Prec@5 68.359 (70.766)
Epoch: [41][4300/5005] Time 0.208 (0.223) Data 0.050 (0.075) Loss 2.2094 (2.4205) Prec@1 49.219 (45.265) Prec@5 75.000 (70.769)
Epoch: [41][4310/5005] Time 0.198 (0.223) Data 0.046 (0.075) Loss 2.5557 (2.4205) Prec@1 44.531 (45.266) Prec@5 67.188 (70.768)
Epoch: [41][4320/5005] Time 0.196 (0.224) Data 0.047 (0.075) Loss 2.3511 (2.4205) Prec@1 48.047 (45.267) Prec@5 73.047 (70.769)
Epoch: [41][4330/5005] Time 0.204 (0.224) Data 0.049 (0.075) Loss 2.2338 (2.4204) Prec@1 48.438 (45.268) Prec@5 73.828 (70.770)
Epoch: [41][4340/5005] Time 0.195 (0.224) Data 0.046 (0.075) Loss 2.4238 (2.4204) Prec@1 47.266 (45.269) Prec@5 70.703 (70.769)
Epoch: [41][4350/5005] Time 0.194 (0.224) Data 0.052 (0.075) Loss 2.3925 (2.4204) Prec@1 45.703 (45.270) Prec@5 71.484 (70.771)
Epoch: [41][4360/5005] Time 0.196 (0.224) Data 0.044 (0.075) Loss 2.1460 (2.4202) Prec@1 49.609 (45.272) Prec@5 75.781 (70.773)
Epoch: [41][4370/5005] Time 0.201 (0.224) Data 0.051 (0.075) Loss 2.3526 (2.4202) Prec@1 44.141 (45.274) Prec@5 73.828 (70.774)
Epoch: [41][4380/5005] Time 0.203 (0.224) Data 0.043 (0.075) Loss 2.5361 (2.4202) Prec@1 42.969 (45.272) Prec@5 69.141 (70.775)
Epoch: [41][4390/5005] Time 0.193 (0.224) Data 0.061 (0.075) Loss 2.4446 (2.4200) Prec@1 43.750 (45.279) Prec@5 69.141 (70.776)
Epoch: [41][4400/5005] Time 0.205 (0.224) Data 0.040 (0.075) Loss 2.2912 (2.4199) Prec@1 46.875 (45.281) Prec@5 69.922 (70.777)
Epoch: [41][4410/5005] Time 0.202 (0.224) Data 0.045 (0.075) Loss 2.3658 (2.4198) Prec@1 45.703 (45.284) Prec@5 71.484 (70.776)
Epoch: [41][4420/5005] Time 0.211 (0.224) Data 0.040 (0.075) Loss 2.1306 (2.4197) Prec@1 48.828 (45.285) Prec@5 75.391 (70.779)
Epoch: [41][4430/5005] Time 0.201 (0.224) Data 0.053 (0.075) Loss 2.4753 (2.4195) Prec@1 43.750 (45.290) Prec@5 67.188 (70.784)
Epoch: [41][4440/5005] Time 0.200 (0.224) Data 0.046 (0.075) Loss 2.4900 (2.4196) Prec@1 44.141 (45.290) Prec@5 71.484 (70.783)
Epoch: [41][4450/5005] Time 0.208 (0.224) Data 0.047 (0.075) Loss 2.2155 (2.4196) Prec@1 47.656 (45.289) Prec@5 71.484 (70.778)
Epoch: [41][4460/5005] Time 0.215 (0.224) Data 0.042 (0.075) Loss 2.4325 (2.4195) Prec@1 47.266 (45.291) Prec@5 71.484 (70.781)
Epoch: [41][4470/5005] Time 0.476 (0.224) Data 0.386 (0.075) Loss 2.3673 (2.4196) Prec@1 44.922 (45.291) Prec@5 72.656 (70.782)
Epoch: [41][4480/5005] Time 0.188 (0.224) Data 0.055 (0.076) Loss 2.2218 (2.4198) Prec@1 48.438 (45.288) Prec@5 73.828 (70.778)
Epoch: [41][4490/5005] Time 0.194 (0.224) Data 0.049 (0.076) Loss 2.4548 (2.4199) Prec@1 41.016 (45.285) Prec@5 69.531 (70.776)
Epoch: [41][4500/5005] Time 0.214 (0.224) Data 0.040 (0.075) Loss 2.2976 (2.4198) Prec@1 50.781 (45.288) Prec@5 75.391 (70.778)
Epoch: [41][4510/5005] Time 0.202 (0.224) Data 0.049 (0.075) Loss 2.2829 (2.4198) Prec@1 46.875 (45.286) Prec@5 72.656 (70.778)
Epoch: [41][4520/5005] Time 0.200 (0.224) Data 0.040 (0.076) Loss 2.2713 (2.4197) Prec@1 48.047 (45.288) Prec@5 74.609 (70.781)
Epoch: [41][4530/5005] Time 0.192 (0.224) Data 0.082 (0.076) Loss 2.4108 (2.4196) Prec@1 45.312 (45.290) Prec@5 74.609 (70.785)
Epoch: [41][4540/5005] Time 0.198 (0.224) Data 0.042 (0.075) Loss 2.4945 (2.4198) Prec@1 46.094 (45.287) Prec@5 69.531 (70.784)
Epoch: [41][4550/5005] Time 0.211 (0.224) Data 0.047 (0.076) Loss 2.3096 (2.4198) Prec@1 47.656 (45.291) Prec@5 71.094 (70.785)
Epoch: [41][4560/5005] Time 0.205 (0.224) Data 0.046 (0.076) Loss 2.3928 (2.4197) Prec@1 47.656 (45.292) Prec@5 71.094 (70.785)
Epoch: [41][4570/5005] Time 0.197 (0.224) Data 0.063 (0.076) Loss 2.4358 (2.4197) Prec@1 44.141 (45.293) Prec@5 69.922 (70.785)
Epoch: [41][4580/5005] Time 0.210 (0.224) Data 0.040 (0.076) Loss 2.4531 (2.4197) Prec@1 42.188 (45.293) Prec@5 71.094 (70.784)
Epoch: [41][4590/5005] Time 0.204 (0.224) Data 0.050 (0.076) Loss 2.3728 (2.4198) Prec@1 48.828 (45.295) Prec@5 75.781 (70.784)
Epoch: [41][4600/5005] Time 0.219 (0.224) Data 0.043 (0.076) Loss 2.1981 (2.4198) Prec@1 52.344 (45.297) Prec@5 72.656 (70.783)
Epoch: [41][4610/5005] Time 0.448 (0.224) Data 0.363 (0.076) Loss 2.3736 (2.4198) Prec@1 47.266 (45.297) Prec@5 67.969 (70.782)
Epoch: [41][4620/5005] Time 0.199 (0.224) Data 0.100 (0.076) Loss 2.2743 (2.4199) Prec@1 49.219 (45.297) Prec@5 73.828 (70.779)
Epoch: [41][4630/5005] Time 0.198 (0.224) Data 0.048 (0.076) Loss 2.2364 (2.4198) Prec@1 53.125 (45.297) Prec@5 74.219 (70.781)
Epoch: [41][4640/5005] Time 0.205 (0.224) Data 0.041 (0.076) Loss 2.4943 (2.4197) Prec@1 46.484 (45.296) Prec@5 71.875 (70.784)
Epoch: [41][4650/5005] Time 0.206 (0.224) Data 0.046 (0.076) Loss 2.4711 (2.4197) Prec@1 41.016 (45.295) Prec@5 67.188 (70.784)
Epoch: [41][4660/5005] Time 0.431 (0.224) Data 0.352 (0.076) Loss 2.5482 (2.4197) Prec@1 44.922 (45.295) Prec@5 67.969 (70.785)
Epoch: [41][4670/5005] Time 0.445 (0.224) Data 0.353 (0.076) Loss 2.2994 (2.4196) Prec@1 47.656 (45.298) Prec@5 72.266 (70.784)
Epoch: [41][4680/5005] Time 0.208 (0.224) Data 0.050 (0.076) Loss 2.2031 (2.4195) Prec@1 46.875 (45.299) Prec@5 75.781 (70.785)
Epoch: [41][4690/5005] Time 0.197 (0.224) Data 0.053 (0.076) Loss 2.3746 (2.4195) Prec@1 44.922 (45.300) Prec@5 73.828 (70.786)
Epoch: [41][4700/5005] Time 0.200 (0.224) Data 0.046 (0.076) Loss 2.4012 (2.4194) Prec@1 45.703 (45.304) Prec@5 73.438 (70.789)
Epoch: [41][4710/5005] Time 0.266 (0.224) Data 0.180 (0.076) Loss 2.2212 (2.4192) Prec@1 50.000 (45.305) Prec@5 73.438 (70.792)
Epoch: [41][4720/5005] Time 0.280 (0.224) Data 0.194 (0.076) Loss 2.2946 (2.4191) Prec@1 46.094 (45.304) Prec@5 74.609 (70.793)
Epoch: [41][4730/5005] Time 0.199 (0.224) Data 0.047 (0.076) Loss 2.4480 (2.4192) Prec@1 43.750 (45.304) Prec@5 73.438 (70.792)
Epoch: [41][4740/5005] Time 0.209 (0.224) Data 0.043 (0.076) Loss 2.3257 (2.4192) Prec@1 43.359 (45.304) Prec@5 73.828 (70.794)
Epoch: [41][4750/5005] Time 0.192 (0.224) Data 0.067 (0.076) Loss 2.3384 (2.4192) Prec@1 48.438 (45.307) Prec@5 72.266 (70.796)
Epoch: [41][4760/5005] Time 0.195 (0.224) Data 0.058 (0.076) Loss 2.7270 (2.4191) Prec@1 41.016 (45.309) Prec@5 66.016 (70.796)
Epoch: [41][4770/5005] Time 0.364 (0.224) Data 0.283 (0.076) Loss 2.3898 (2.4190) Prec@1 44.922 (45.309) Prec@5 70.703 (70.797)
Epoch: [41][4780/5005] Time 0.195 (0.224) Data 0.052 (0.076) Loss 2.4805 (2.4191) Prec@1 41.406 (45.307) Prec@5 69.531 (70.797)
Epoch: [41][4790/5005] Time 0.195 (0.224) Data 0.051 (0.076) Loss 2.6935 (2.4191) Prec@1 43.359 (45.309) Prec@5 64.844 (70.797)
Epoch: [41][4800/5005] Time 0.200 (0.224) Data 0.045 (0.076) Loss 2.6030 (2.4190) Prec@1 44.141 (45.309) Prec@5 69.922 (70.799)
Epoch: [41][4810/5005] Time 0.218 (0.224) Data 0.041 (0.076) Loss 2.6577 (2.4189) Prec@1 41.406 (45.308) Prec@5 64.453 (70.800)
Epoch: [41][4820/5005] Time 0.201 (0.224) Data 0.041 (0.076) Loss 2.5699 (2.4188) Prec@1 43.359 (45.311) Prec@5 67.188 (70.803)
Epoch: [41][4830/5005] Time 0.276 (0.224) Data 0.194 (0.076) Loss 2.3881 (2.4185) Prec@1 50.000 (45.318) Prec@5 71.094 (70.807)
Epoch: [41][4840/5005] Time 0.266 (0.224) Data 0.177 (0.076) Loss 2.1880 (2.4186) Prec@1 51.172 (45.317) Prec@5 73.828 (70.807)
Epoch: [41][4850/5005] Time 0.219 (0.224) Data 0.046 (0.076) Loss 2.4659 (2.4187) Prec@1 44.922 (45.316) Prec@5 69.141 (70.805)
Epoch: [41][4860/5005] Time 0.195 (0.224) Data 0.110 (0.076) Loss 2.2882 (2.4186) Prec@1 46.484 (45.317) Prec@5 71.875 (70.807)
Epoch: [41][4870/5005] Time 0.525 (0.224) Data 0.444 (0.076) Loss 2.2685 (2.4186) Prec@1 53.516 (45.320) Prec@5 73.047 (70.806)
Epoch: [41][4880/5005] Time 0.195 (0.224) Data 0.064 (0.076) Loss 2.2169 (2.4186) Prec@1 48.047 (45.323) Prec@5 75.781 (70.810)
Epoch: [41][4890/5005] Time 0.196 (0.224) Data 0.047 (0.076) Loss 2.5561 (2.4185) Prec@1 41.406 (45.322) Prec@5 65.234 (70.811)
Epoch: [41][4900/5005] Time 0.695 (0.224) Data 0.605 (0.076) Loss 2.1815 (2.4184) Prec@1 50.000 (45.324) Prec@5 73.828 (70.813)
Epoch: [41][4910/5005] Time 0.210 (0.224) Data 0.044 (0.076) Loss 2.5194 (2.4182) Prec@1 43.359 (45.324) Prec@5 71.875 (70.816)
Epoch: [41][4920/5005] Time 0.196 (0.224) Data 0.043 (0.076) Loss 2.2774 (2.4181) Prec@1 47.656 (45.326) Prec@5 70.703 (70.816)
Epoch: [41][4930/5005] Time 0.201 (0.224) Data 0.039 (0.076) Loss 2.5227 (2.4180) Prec@1 41.797 (45.327) Prec@5 66.797 (70.818)
Epoch: [41][4940/5005] Time 0.197 (0.224) Data 0.041 (0.076) Loss 2.4077 (2.4181) Prec@1 48.047 (45.328) Prec@5 68.359 (70.816)
Epoch: [41][4950/5005] Time 0.207 (0.224) Data 0.044 (0.076) Loss 2.1636 (2.4181) Prec@1 51.953 (45.326) Prec@5 76.953 (70.818)
Epoch: [41][4960/5005] Time 0.211 (0.224) Data 0.043 (0.076) Loss 2.4164 (2.4181) Prec@1 46.094 (45.327) Prec@5 71.094 (70.819)
Epoch: [41][4970/5005] Time 0.201 (0.224) Data 0.043 (0.076) Loss 2.4893 (2.4180) Prec@1 41.797 (45.326) Prec@5 70.312 (70.821)
Epoch: [41][4980/5005] Time 0.201 (0.224) Data 0.045 (0.076) Loss 2.4015 (2.4178) Prec@1 47.266 (45.327) Prec@5 70.703 (70.823)
Epoch: [41][4990/5005] Time 0.207 (0.224) Data 0.032 (0.076) Loss 2.5713 (2.4178) Prec@1 38.672 (45.328) Prec@5 64.062 (70.824)
Epoch: [41][5000/5005] Time 0.208 (0.224) Data 0.033 (0.076) Loss 2.3686 (2.4177) Prec@1 46.094 (45.328) Prec@5 72.266 (70.824)
Test: [0/196] Time 2.521 (2.521) Loss 2.4506 (2.4506) Prec@1 49.609 (49.609) Prec@5 68.359 (68.359)
Test: [10/196] Time 0.042 (0.393) Loss 2.4649 (2.5937) Prec@1 48.438 (43.359) Prec@5 71.875 (68.786)
Test: [20/196] Time 0.044 (0.297) Loss 2.4664 (2.5994) Prec@1 47.266 (43.211) Prec@5 73.047 (68.397)
Test: [30/196] Time 0.162 (0.266) Loss 2.4471 (2.6080) Prec@1 43.359 (42.692) Prec@5 71.094 (68.334)
Test: [40/196] Time 1.008 (0.272) Loss 2.3614 (2.6070) Prec@1 48.828 (42.740) Prec@5 73.047 (68.236)
Test: [50/196] Time 0.043 (0.267) Loss 2.6908 (2.6108) Prec@1 45.703 (42.785) Prec@5 69.531 (68.298)
Test: [60/196] Time 0.043 (0.250) Loss 2.4692 (2.5993) Prec@1 46.484 (43.071) Prec@5 71.484 (68.417)
Test: [70/196] Time 0.046 (0.246) Loss 2.5364 (2.5908) Prec@1 43.359 (43.123) Prec@5 68.359 (68.546)
Test: [80/196] Time 0.592 (0.244) Loss 2.4118 (2.5953) Prec@1 50.781 (43.080) Prec@5 75.391 (68.514)
Test: [90/196] Time 0.044 (0.239) Loss 2.6427 (2.5960) Prec@1 42.969 (43.076) Prec@5 68.750 (68.522)
Test: [100/196] Time 0.775 (0.244) Loss 2.6278 (2.5930) Prec@1 44.141 (43.178) Prec@5 67.188 (68.615)
Test: [110/196] Time 0.049 (0.240) Loss 2.7843 (2.5948) Prec@1 37.109 (43.222) Prec@5 64.062 (68.637)
Test: [120/196] Time 0.045 (0.236) Loss 2.4450 (2.5924) Prec@1 41.406 (43.359) Prec@5 74.219 (68.669)
Test: [130/196] Time 0.087 (0.232) Loss 2.2486 (2.5886) Prec@1 49.609 (43.401) Prec@5 75.000 (68.699)
Test: [140/196] Time 0.531 (0.233) Loss 2.3981 (2.5902) Prec@1 45.703 (43.334) Prec@5 70.703 (68.642)
Test: [150/196] Time 0.051 (0.233) Loss 2.2736 (2.5888) Prec@1 46.484 (43.403) Prec@5 76.562 (68.719)
Test: [160/196] Time 0.043 (0.231) Loss 2.5275 (2.5875) Prec@1 50.000 (43.449) Prec@5 70.312 (68.728)
Test: [170/196] Time 0.090 (0.230) Loss 2.4765 (2.5903) Prec@1 44.531 (43.444) Prec@5 70.312 (68.695)
Test: [180/196] Time 0.674 (0.232) Loss 2.7744 (2.5938) Prec@1 39.062 (43.340) Prec@5 64.062 (68.599)
Test: [190/196] Time 0.306 (0.232) Loss 2.7825 (2.5965) Prec@1 41.016 (43.312) Prec@5 64.844 (68.476)
* Prec@1 43.302 Prec@5 68.472
Learning rate: 0.0001
Epoch: [42][0/5005] Time 8.260 (8.260) Data 0.708 (0.708) Loss 2.3124 (2.3124) Prec@1 46.484 (46.484) Prec@5 74.609 (74.609)
Epoch: [42][10/5005] Time 0.201 (0.929) Data 0.059 (0.117) Loss 2.3835 (2.4126) Prec@1 48.438 (44.993) Prec@5 69.922 (70.987)
Epoch: [42][20/5005] Time 0.195 (0.582) Data 0.041 (0.084) Loss 2.5099 (2.4386) Prec@1 46.484 (44.773) Prec@5 69.531 (70.778)
Epoch: [42][30/5005] Time 0.199 (0.459) Data 0.049 (0.072) Loss 2.2272 (2.4069) Prec@1 51.562 (45.552) Prec@5 73.047 (70.993)
Epoch: [42][40/5005] Time 0.202 (0.396) Data 0.043 (0.066) Loss 2.2939 (2.4091) Prec@1 46.094 (45.560) Prec@5 75.000 (70.922)
Epoch: [42][50/5005] Time 0.202 (0.358) Data 0.043 (0.062) Loss 2.2149 (2.4041) Prec@1 41.406 (45.435) Prec@5 77.734 (71.063)
Epoch: [42][60/5005] Time 0.199 (0.332) Data 0.057 (0.059) Loss 2.3837 (2.4125) Prec@1 44.531 (45.402) Prec@5 73.047 (71.023)
Epoch: [42][70/5005] Time 0.206 (0.314) Data 0.043 (0.057) Loss 2.3862 (2.4205) Prec@1 42.578 (45.252) Prec@5 73.828 (71.077)
Epoch: [42][80/5005] Time 0.195 (0.300) Data 0.058 (0.056) Loss 2.1866 (2.4157) Prec@1 47.656 (45.438) Prec@5 74.609 (71.041)
Epoch: [42][90/5005] Time 0.193 (0.289) Data 0.046 (0.055) Loss 2.4803 (2.4174) Prec@1 42.578 (45.424) Prec@5 69.531 (70.961)
Epoch: [42][100/5005] Time 0.197 (0.280) Data 0.047 (0.055) Loss 2.2187 (2.4158) Prec@1 48.047 (45.456) Prec@5 74.219 (70.916)
Epoch: [42][110/5005] Time 0.196 (0.272) Data 0.045 (0.054) Loss 2.4772 (2.4206) Prec@1 45.312 (45.439) Prec@5 69.141 (70.823)
Epoch: [42][120/5005] Time 0.192 (0.266) Data 0.058 (0.053) Loss 2.4146 (2.4244) Prec@1 41.797 (45.458) Prec@5 70.312 (70.797)
Epoch: [42][130/5005] Time 0.210 (0.261) Data 0.043 (0.053) Loss 2.5978 (2.4250) Prec@1 44.922 (45.468) Prec@5 68.750 (70.772)
Epoch: [42][140/5005] Time 0.185 (0.257) Data 0.047 (0.052) Loss 2.5238 (2.4231) Prec@1 43.750 (45.473) Prec@5 67.969 (70.792)
Epoch: [42][150/5005] Time 0.205 (0.253) Data 0.046 (0.052) Loss 2.6007 (2.4223) Prec@1 44.922 (45.488) Prec@5 67.578 (70.783)
Epoch: [42][160/5005] Time 0.202 (0.250) Data 0.047 (0.052) Loss 2.4230 (2.4243) Prec@1 42.188 (45.434) Prec@5 71.484 (70.752)
Epoch: [42][170/5005] Time 0.206 (0.247) Data 0.043 (0.051) Loss 2.4498 (2.4240) Prec@1 45.312 (45.424) Prec@5 69.141 (70.708)
Epoch: [42][180/5005] Time 0.207 (0.244) Data 0.043 (0.051) Loss 2.6605 (2.4248) Prec@1 42.969 (45.442) Prec@5 67.188 (70.720)
Epoch: [42][190/5005] Time 0.195 (0.242) Data 0.045 (0.051) Loss 2.5378 (2.4280) Prec@1 43.750 (45.368) Prec@5 70.312 (70.658)
Epoch: [42][200/5005] Time 0.197 (0.240) Data 0.047 (0.050) Loss 2.5632 (2.4282) Prec@1 42.969 (45.334) Prec@5 66.016 (70.656)
Epoch: [42][210/5005] Time 0.211 (0.238) Data 0.046 (0.050) Loss 2.2151 (2.4276) Prec@1 49.609 (45.318) Prec@5 73.828 (70.672)
Epoch: [42][220/5005] Time 0.198 (0.236) Data 0.053 (0.050) Loss 2.3102 (2.4273) Prec@1 48.047 (45.320) Prec@5 72.266 (70.662)
Epoch: [42][230/5005] Time 0.194 (0.235) Data 0.061 (0.051) Loss 2.4355 (2.4262) Prec@1 44.922 (45.346) Prec@5 70.312 (70.683)
Epoch: [42][240/5005] Time 0.194 (0.233) Data 0.045 (0.051) Loss 2.4227 (2.4259) Prec@1 44.531 (45.358) Prec@5 69.531 (70.654)
Epoch: [42][250/5005] Time 0.201 (0.232) Data 0.042 (0.050) Loss 2.5402 (2.4256) Prec@1 43.750 (45.378) Prec@5 69.141 (70.652)
Epoch: [42][260/5005] Time 0.209 (0.231) Data 0.043 (0.050) Loss 2.2335 (2.4244) Prec@1 46.484 (45.374) Prec@5 73.438 (70.642)
Epoch: [42][270/5005] Time 0.203 (0.230) Data 0.039 (0.050) Loss 2.4229 (2.4234) Prec@1 49.609 (45.402) Prec@5 69.922 (70.676)
Epoch: [42][280/5005] Time 0.208 (0.229) Data 0.049 (0.050) Loss 2.6466 (2.4246) Prec@1 45.312 (45.364) Prec@5 63.672 (70.652)
Epoch: [42][290/5005] Time 0.200 (0.228) Data 0.048 (0.050) Loss 2.3777 (2.4261) Prec@1 48.438 (45.288) Prec@5 71.484 (70.619)
Epoch: [42][300/5005] Time 0.201 (0.227) Data 0.041 (0.049) Loss 2.2449 (2.4256) Prec@1 49.219 (45.307) Prec@5 75.391 (70.630)
Epoch: [42][310/5005] Time 0.201 (0.226) Data 0.046 (0.049) Loss 2.3451 (2.4228) Prec@1 44.141 (45.323) Prec@5 72.656 (70.718)
Epoch: [42][320/5005] Time 0.199 (0.225) Data 0.046 (0.049) Loss 2.7265 (2.4248) Prec@1 42.188 (45.340) Prec@5 66.797 (70.682)
Epoch: [42][330/5005] Time 0.198 (0.224) Data 0.048 (0.049) Loss 2.1035 (2.4230) Prec@1 50.000 (45.373) Prec@5 74.219 (70.755)
Epoch: [42][340/5005] Time 0.213 (0.224) Data 0.041 (0.049) Loss 2.5907 (2.4266) Prec@1 41.797 (45.315) Prec@5 70.703 (70.704)
Epoch: [42][350/5005] Time 0.205 (0.223) Data 0.040 (0.049) Loss 2.6213 (2.4269) Prec@1 44.531 (45.268) Prec@5 66.406 (70.694)
Epoch: [42][360/5005] Time 0.220 (0.223) Data 0.042 (0.049) Loss 2.4116 (2.4271) Prec@1 44.531 (45.266) Prec@5 70.703 (70.660)
Epoch: [42][370/5005] Time 0.216 (0.223) Data 0.040 (0.049) Loss 2.3709 (2.4249) Prec@1 40.234 (45.275) Prec@5 75.391 (70.704)
Epoch: [42][380/5005] Time 0.219 (0.222) Data 0.043 (0.049) Loss 2.5253 (2.4258) Prec@1 45.703 (45.258) Prec@5 65.234 (70.671)
Epoch: [42][390/5005] Time 0.216 (0.222) Data 0.038 (0.048) Loss 2.3656 (2.4261) Prec@1 46.484 (45.234) Prec@5 73.438 (70.664)
Epoch: [42][400/5005] Time 0.211 (0.222) Data 0.052 (0.049) Loss 2.2603 (2.4246) Prec@1 47.266 (45.246) Prec@5 75.781 (70.707)
Epoch: [42][410/5005] Time 0.217 (0.222) Data 0.045 (0.049) Loss 2.1890 (2.4236) Prec@1 51.562 (45.279) Prec@5 75.391 (70.705)
Epoch: [42][420/5005] Time 0.210 (0.221) Data 0.040 (0.048) Loss 2.3236 (2.4233) Prec@1 46.484 (45.280) Prec@5 71.875 (70.720)
Epoch: [42][430/5005] Time 0.208 (0.221) Data 0.043 (0.048) Loss 2.3038 (2.4233) Prec@1 50.391 (45.289) Prec@5 71.875 (70.737)
Epoch: [42][440/5005] Time 0.208 (0.221) Data 0.044 (0.048) Loss 2.3231 (2.4222) Prec@1 50.000 (45.320) Prec@5 72.266 (70.765)
Epoch: [42][450/5005] Time 0.211 (0.221) Data 0.044 (0.048) Loss 2.3174 (2.4228) Prec@1 44.141 (45.290) Prec@5 73.438 (70.758)
Epoch: [42][460/5005] Time 0.211 (0.220) Data 0.043 (0.048) Loss 2.4265 (2.4233) Prec@1 44.922 (45.261) Prec@5 69.141 (70.756)
Epoch: [42][470/5005] Time 0.214 (0.220) Data 0.044 (0.048) Loss 2.4340 (2.4246) Prec@1 42.578 (45.235) Prec@5 70.703 (70.748)
Epoch: [42][480/5005] Time 0.205 (0.220) Data 0.043 (0.048) Loss 2.4906 (2.4246) Prec@1 45.703 (45.237) Prec@5 70.312 (70.736)
Epoch: [42][490/5005] Time 0.208 (0.220) Data 0.042 (0.048) Loss 2.3493 (2.4246) Prec@1 48.047 (45.220) Prec@5 71.484 (70.745)
Epoch: [42][500/5005] Time 0.208 (0.220) Data 0.043 (0.048) Loss 2.6004 (2.4263) Prec@1 41.406 (45.218) Prec@5 69.141 (70.718)
Epoch: [42][510/5005] Time 0.208 (0.219) Data 0.041 (0.048) Loss 2.6971 (2.4271) Prec@1 40.234 (45.200) Prec@5 62.500 (70.696)
Epoch: [42][520/5005] Time 0.214 (0.219) Data 0.042 (0.048) Loss 2.5795 (2.4267) Prec@1 40.625 (45.213) Prec@5 67.578 (70.702)
Epoch: [42][530/5005] Time 0.203 (0.219) Data 0.042 (0.047) Loss 2.4819 (2.4262) Prec@1 47.266 (45.221) Prec@5 73.438 (70.723)
Epoch: [42][540/5005] Time 0.208 (0.219) Data 0.042 (0.047) Loss 2.5721 (2.4271) Prec@1 41.406 (45.194) Prec@5 67.969 (70.700)
Epoch: [42][550/5005] Time 0.210 (0.219) Data 0.043 (0.047) Loss 2.3159 (2.4258) Prec@1 50.781 (45.215) Prec@5 77.734 (70.709)
Epoch: [42][560/5005] Time 0.208 (0.218) Data 0.043 (0.047) Loss 2.6216 (2.4261) Prec@1 43.750 (45.218) Prec@5 67.188 (70.714)
Epoch: [42][570/5005] Time 0.206 (0.218) Data 0.040 (0.047) Loss 2.5512 (2.4267) Prec@1 40.625 (45.202) Prec@5 67.969 (70.705)
Epoch: [42][580/5005] Time 0.199 (0.218) Data 0.047 (0.047) Loss 2.3878 (2.4259) Prec@1 45.703 (45.215) Prec@5 72.656 (70.715)
Epoch: [42][590/5005] Time 0.208 (0.218) Data 0.050 (0.047) Loss 2.5341 (2.4262) Prec@1 40.625 (45.208) Prec@5 71.484 (70.716)
Epoch: [42][600/5005] Time 0.209 (0.218) Data 0.041 (0.047) Loss 2.3995 (2.4271) Prec@1 42.969 (45.184) Prec@5 73.438 (70.699)
Epoch: [42][610/5005] Time 0.209 (0.218) Data 0.047 (0.047) Loss 2.3274 (2.4269) Prec@1 44.922 (45.182) Prec@5 71.484 (70.707)
Epoch: [42][620/5005] Time 0.214 (0.218) Data 0.040 (0.047) Loss 2.4420 (2.4268) Prec@1 44.922 (45.197) Prec@5 70.312 (70.700)
Epoch: [42][630/5005] Time 0.215 (0.217) Data 0.041 (0.047) Loss 2.6279 (2.4269) Prec@1 45.703 (45.215) Prec@5 66.797 (70.697)
Epoch: [42][640/5005] Time 0.214 (0.217) Data 0.042 (0.047) Loss 2.3623 (2.4268) Prec@1 43.750 (45.212) Prec@5 72.266 (70.699)
Epoch: [42][650/5005] Time 0.199 (0.217) Data 0.056 (0.047) Loss 2.4600 (2.4277) Prec@1 41.797 (45.200) Prec@5 68.750 (70.686)
Epoch: [42][660/5005] Time 0.213 (0.217) Data 0.047 (0.047) Loss 2.5343 (2.4267) Prec@1 42.188 (45.220) Prec@5 71.094 (70.717)
Epoch: [42][670/5005] Time 0.205 (0.217) Data 0.045 (0.047) Loss 2.5799 (2.4266) Prec@1 41.797 (45.224) Prec@5 69.531 (70.710)
Epoch: [42][680/5005] Time 0.206 (0.217) Data 0.045 (0.047) Loss 2.4387 (2.4267) Prec@1 44.141 (45.225) Prec@5 68.359 (70.698)
Epoch: [42][690/5005] Time 0.210 (0.217) Data 0.044 (0.047) Loss 2.3401 (2.4261) Prec@1 49.609 (45.237) Prec@5 72.656 (70.704)
Epoch: [42][700/5005] Time 0.214 (0.216) Data 0.042 (0.047) Loss 2.4967 (2.4256) Prec@1 43.750 (45.239) Prec@5 71.094 (70.721)
Epoch: [42][710/5005] Time 0.208 (0.216) Data 0.046 (0.047) Loss 2.3278 (2.4255) Prec@1 45.703 (45.237) Prec@5 73.047 (70.726)
Epoch: [42][720/5005] Time 0.206 (0.216) Data 0.045 (0.047) Loss 2.3944 (2.4244) Prec@1 44.922 (45.262) Prec@5 74.609 (70.745)
Epoch: [42][730/5005] Time 0.208 (0.216) Data 0.062 (0.047) Loss 2.6129 (2.4250) Prec@1 42.969 (45.261) Prec@5 67.969 (70.737)
Epoch: [42][740/5005] Time 0.211 (0.216) Data 0.055 (0.048) Loss 2.5373 (2.4250) Prec@1 46.094 (45.266) Prec@5 65.234 (70.721)
Epoch: [42][750/5005] Time 0.209 (0.216) Data 0.047 (0.048) Loss 2.2810 (2.4243) Prec@1 45.703 (45.275) Prec@5 73.047 (70.735)
Epoch: [42][760/5005] Time 0.213 (0.216) Data 0.041 (0.048) Loss 2.4334 (2.4245) Prec@1 43.750 (45.270) Prec@5 71.875 (70.742)
Epoch: [42][770/5005] Time 0.208 (0.216) Data 0.049 (0.048) Loss 2.3043 (2.4234) Prec@1 47.266 (45.290) Prec@5 71.875 (70.758)
Epoch: [42][780/5005] Time 0.201 (0.216) Data 0.061 (0.048) Loss 2.5274 (2.4231) Prec@1 45.312 (45.303) Prec@5 66.797 (70.751)
Epoch: [42][790/5005] Time 0.210 (0.215) Data 0.045 (0.048) Loss 2.5226 (2.4229) Prec@1 44.141 (45.307) Prec@5 68.750 (70.753)
Epoch: [42][800/5005] Time 0.201 (0.215) Data 0.048 (0.048) Loss 2.2329 (2.4221) Prec@1 48.828 (45.320) Prec@5 73.828 (70.762)
Epoch: [42][810/5005] Time 0.217 (0.215) Data 0.043 (0.048) Loss 2.4752 (2.4219) Prec@1 46.875 (45.321) Prec@5 68.359 (70.769)
Epoch: [42][820/5005] Time 0.208 (0.215) Data 0.048 (0.048) Loss 2.4518 (2.4222) Prec@1 41.797 (45.311) Prec@5 72.656 (70.765)
Epoch: [42][830/5005] Time 0.218 (0.215) Data 0.043 (0.048) Loss 2.4562 (2.4221) Prec@1 41.406 (45.302) Prec@5 69.141 (70.760)
Epoch: [42][840/5005] Time 0.204 (0.215) Data 0.041 (0.048) Loss 2.2470 (2.4222) Prec@1 48.047 (45.302) Prec@5 72.266 (70.754)
Epoch: [42][850/5005] Time 0.208 (0.215) Data 0.042 (0.048) Loss 2.5420 (2.4222) Prec@1 46.875 (45.312) Prec@5 73.438 (70.749)
Epoch: [42][860/5005] Time 0.208 (0.215) Data 0.042 (0.048) Loss 2.4620 (2.4223) Prec@1 43.750 (45.303) Prec@5 69.531 (70.749)
Epoch: [42][870/5005] Time 0.213 (0.215) Data 0.041 (0.048) Loss 2.3848 (2.4213) Prec@1 41.797 (45.312) Prec@5 71.484 (70.762)
Epoch: [42][880/5005] Time 0.208 (0.215) Data 0.042 (0.048) Loss 2.2738 (2.4218) Prec@1 45.703 (45.304) Prec@5 74.219 (70.760)
Epoch: [42][890/5005] Time 0.213 (0.215) Data 0.043 (0.048) Loss 2.6648 (2.4212) Prec@1 40.625 (45.289) Prec@5 63.672 (70.766)
Epoch: [42][900/5005] Time 0.217 (0.215) Data 0.045 (0.048) Loss 2.3763 (2.4208) Prec@1 46.484 (45.291) Prec@5 69.922 (70.772)
Epoch: [42][910/5005] Time 0.201 (0.215) Data 0.043 (0.048) Loss 2.3221 (2.4208) Prec@1 50.391 (45.288) Prec@5 71.484 (70.770)
Epoch: [42][920/5005] Time 0.214 (0.215) Data 0.042 (0.048) Loss 2.4941 (2.4203) Prec@1 44.531 (45.293) Prec@5 71.875 (70.790)
Epoch: [42][930/5005] Time 0.211 (0.214) Data 0.042 (0.048) Loss 2.3599 (2.4198) Prec@1 47.266 (45.300) Prec@5 72.266 (70.807)
Epoch: [42][940/5005] Time 0.216 (0.214) Data 0.047 (0.048) Loss 2.3522 (2.4201) Prec@1 47.266 (45.295) Prec@5 73.438 (70.795)
Epoch: [42][950/5005] Time 0.217 (0.214) Data 0.041 (0.048) Loss 2.4733 (2.4205) Prec@1 47.656 (45.303) Prec@5 69.141 (70.802)
Epoch: [42][960/5005] Time 0.207 (0.214) Data 0.041 (0.048) Loss 2.6702 (2.4208) Prec@1 43.750 (45.307) Prec@5 65.234 (70.799)
Epoch: [42][970/5005] Time 0.204 (0.214) Data 0.043 (0.048) Loss 2.2978 (2.4208) Prec@1 48.438 (45.310) Prec@5 73.828 (70.795)
Epoch: [42][980/5005] Time 0.213 (0.214) Data 0.042 (0.048) Loss 2.3827 (2.4199) Prec@1 45.312 (45.332) Prec@5 69.531 (70.810)
Epoch: [42][990/5005] Time 0.213 (0.214) Data 0.059 (0.048) Loss 2.4690 (2.4201) Prec@1 45.312 (45.322) Prec@5 69.922 (70.807)
Epoch: [42][1000/5005] Time 0.208 (0.214) Data 0.052 (0.048) Loss 2.4237 (2.4198) Prec@1 46.484 (45.339) Prec@5 70.703 (70.805)
Epoch: [42][1010/5005] Time 0.199 (0.214) Data 0.047 (0.048) Loss 2.4865 (2.4194) Prec@1 48.828 (45.348) Prec@5 66.797 (70.819)
Epoch: [42][1020/5005] Time 0.216 (0.214) Data 0.045 (0.048) Loss 2.2134 (2.4195) Prec@1 53.516 (45.353) Prec@5 75.000 (70.819)
Epoch: [42][1030/5005] Time 0.201 (0.214) Data 0.047 (0.048) Loss 2.2796 (2.4190) Prec@1 49.609 (45.362) Prec@5 73.828 (70.833)
Epoch: [42][1040/5005] Time 0.200 (0.214) Data 0.050 (0.048) Loss 2.5096 (2.4187) Prec@1 45.703 (45.366) Prec@5 68.359 (70.834)
Epoch: [42][1050/5005] Time 0.203 (0.215) Data 0.047 (0.048) Loss 2.5085 (2.4187) Prec@1 41.406 (45.352) Prec@5 68.750 (70.829)
Epoch: [42][1060/5005] Time 0.198 (0.215) Data 0.042 (0.048) Loss 2.5201 (2.4190) Prec@1 43.359 (45.343) Prec@5 68.750 (70.829)
Epoch: [42][1070/5005] Time 0.206 (0.215) Data 0.046 (0.048) Loss 2.3711 (2.4188) Prec@1 49.219 (45.354) Prec@5 73.047 (70.829)
Epoch: [42][1080/5005] Time 0.204 (0.215) Data 0.046 (0.048) Loss 2.4785 (2.4188) Prec@1 45.703 (45.348) Prec@5 70.703 (70.828)
Epoch: [42][1090/5005] Time 0.204 (0.215) Data 0.056 (0.048) Loss 2.2412 (2.4183) Prec@1 48.047 (45.349) Prec@5 73.438 (70.839)
Epoch: [42][1100/5005] Time 0.201 (0.215) Data 0.057 (0.048) Loss 2.2905 (2.4178) Prec@1 50.781 (45.357) Prec@5 73.047 (70.844)
Epoch: [42][1110/5005] Time 0.201 (0.214) Data 0.051 (0.048) Loss 2.4456 (2.4179) Prec@1 45.703 (45.356) Prec@5 68.750 (70.842)
Epoch: [42][1120/5005] Time 0.210 (0.214) Data 0.041 (0.048) Loss 2.4194 (2.4171) Prec@1 47.656 (45.370) Prec@5 67.578 (70.853)
Epoch: [42][1130/5005] Time 0.207 (0.214) Data 0.039 (0.048) Loss 2.3654 (2.4171) Prec@1 46.094 (45.373) Prec@5 71.875 (70.850)
Epoch: [42][1140/5005] Time 0.209 (0.214) Data 0.042 (0.048) Loss 2.4868 (2.4165) Prec@1 46.094 (45.376) Prec@5 70.312 (70.864)
Epoch: [42][1150/5005] Time 0.214 (0.214) Data 0.045 (0.048) Loss 2.3824 (2.4159) Prec@1 37.500 (45.376) Prec@5 66.797 (70.872)
Epoch: [42][1160/5005] Time 0.214 (0.214) Data 0.043 (0.048) Loss 2.3748 (2.4159) Prec@1 45.703 (45.378) Prec@5 70.703 (70.873)
Epoch: [42][1170/5005] Time 0.210 (0.214) Data 0.043 (0.048) Loss 2.3085 (2.4155) Prec@1 48.047 (45.387) Prec@5 74.219 (70.882)
Epoch: [42][1180/5005] Time 0.204 (0.214) Data 0.040 (0.048) Loss 2.5384 (2.4153) Prec@1 43.750 (45.382) Prec@5 68.359 (70.880)
Epoch: [42][1190/5005] Time 0.207 (0.214) Data 0.058 (0.048) Loss 2.2142 (2.4148) Prec@1 47.266 (45.390) Prec@5 72.266 (70.881)
Epoch: [42][1200/5005] Time 0.203 (0.214) Data 0.045 (0.048) Loss 2.5678 (2.4147) Prec@1 40.234 (45.381) Prec@5 68.359 (70.880)
Epoch: [42][1210/5005] Time 0.216 (0.214) Data 0.059 (0.048) Loss 2.5071 (2.4151) Prec@1 42.578 (45.372) Prec@5 71.484 (70.884)
Epoch: [42][1220/5005] Time 0.208 (0.214) Data 0.047 (0.048) Loss 2.3499 (2.4150) Prec@1 47.656 (45.372) Prec@5 74.219 (70.890)
Epoch: [42][1230/5005] Time 0.209 (0.214) Data 0.049 (0.048) Loss 2.3938 (2.4148) Prec@1 48.438 (45.369) Prec@5 69.922 (70.891)
Epoch: [42][1240/5005] Time 0.205 (0.214) Data 0.050 (0.048) Loss 2.5145 (2.4150) Prec@1 45.312 (45.374) Prec@5 69.531 (70.888)
Epoch: [42][1250/5005] Time 0.208 (0.214) Data 0.046 (0.048) Loss 2.7988 (2.4154) Prec@1 39.453 (45.366) Prec@5 62.891 (70.883)
Epoch: [42][1260/5005] Time 0.206 (0.214) Data 0.041 (0.048) Loss 2.2086 (2.4147) Prec@1 47.656 (45.373) Prec@5 72.656 (70.891)
Epoch: [42][1270/5005] Time 0.212 (0.214) Data 0.040 (0.048) Loss 2.4933 (2.4152) Prec@1 44.922 (45.364) Prec@5 67.188 (70.875)
Epoch: [42][1280/5005] Time 0.216 (0.214) Data 0.047 (0.048) Loss 2.4710 (2.4155) Prec@1 46.484 (45.359) Prec@5 69.141 (70.870)
Epoch: [42][1290/5005] Time 0.208 (0.214) Data 0.047 (0.048) Loss 2.2688 (2.4152) Prec@1 53.125 (45.375) Prec@5 73.438 (70.878)
Epoch: [42][1300/5005] Time 0.202 (0.214) Data 0.050 (0.048) Loss 2.3449 (2.4147) Prec@1 47.656 (45.387) Prec@5 73.047 (70.883)
Epoch: [42][1310/5005] Time 0.199 (0.213) Data 0.045 (0.048) Loss 2.3170 (2.4144) Prec@1 44.141 (45.385) Prec@5 71.094 (70.891)
Epoch: [42][1320/5005] Time 0.208 (0.213) Data 0.050 (0.048) Loss 2.5214 (2.4143) Prec@1 47.266 (45.391) Prec@5 71.875 (70.886)
Epoch: [42][1330/5005] Time 0.205 (0.213) Data 0.045 (0.048) Loss 2.5720 (2.4148) Prec@1 42.969 (45.383) Prec@5 67.578 (70.884)
Epoch: [42][1340/5005] Time 0.206 (0.213) Data 0.042 (0.048) Loss 2.5176 (2.4147) Prec@1 42.578 (45.370) Prec@5 68.359 (70.890)
Epoch: [42][1350/5005] Time 0.207 (0.213) Data 0.044 (0.048) Loss 2.8193 (2.4151) Prec@1 43.359 (45.365) Prec@5 64.453 (70.885)
Epoch: [42][1360/5005] Time 0.212 (0.213) Data 0.041 (0.048) Loss 2.3363 (2.4150) Prec@1 47.656 (45.365) Prec@5 70.703 (70.887)
Epoch: [42][1370/5005] Time 0.209 (0.213) Data 0.056 (0.048) Loss 2.6385 (2.4148) Prec@1 42.188 (45.366) Prec@5 68.750 (70.890)
Epoch: [42][1380/5005] Time 0.205 (0.213) Data 0.042 (0.048) Loss 2.3119 (2.4143) Prec@1 49.219 (45.376) Prec@5 72.656 (70.897)
Epoch: [42][1390/5005] Time 0.206 (0.213) Data 0.044 (0.048) Loss 2.3149 (2.4143) Prec@1 49.609 (45.378) Prec@5 71.875 (70.896)
Epoch: [42][1400/5005] Time 0.204 (0.213) Data 0.049 (0.048) Loss 2.3215 (2.4135) Prec@1 48.828 (45.392) Prec@5 70.312 (70.909)
Epoch: [42][1410/5005] Time 0.220 (0.213) Data 0.046 (0.048) Loss 2.3217 (2.4133) Prec@1 45.703 (45.388) Prec@5 71.094 (70.914)
Epoch: [42][1420/5005] Time 0.207 (0.213) Data 0.050 (0.048) Loss 2.6627 (2.4137) Prec@1 39.062 (45.370) Prec@5 66.797 (70.908)
Epoch: [42][1430/5005] Time 0.218 (0.213) Data 0.053 (0.048) Loss 2.1069 (2.4134) Prec@1 48.438 (45.374) Prec@5 76.172 (70.913)
Epoch: [42][1440/5005] Time 0.205 (0.213) Data 0.052 (0.048) Loss 2.0611 (2.4133) Prec@1 52.734 (45.384) Prec@5 75.000 (70.913)
Epoch: [42][1450/5005] Time 0.212 (0.213) Data 0.057 (0.048) Loss 2.4232 (2.4134) Prec@1 46.094 (45.376) Prec@5 71.094 (70.912)
Epoch: [42][1460/5005] Time 0.205 (0.213) Data 0.050 (0.048) Loss 2.4382 (2.4132) Prec@1 44.531 (45.382) Prec@5 69.531 (70.915)
Epoch: [42][1470/5005] Time 0.206 (0.213) Data 0.046 (0.048) Loss 2.4130 (2.4134) Prec@1 43.750 (45.380) Prec@5 72.266 (70.914)
Epoch: [42][1480/5005] Time 0.208 (0.213) Data 0.041 (0.048) Loss 2.2085 (2.4136) Prec@1 48.828 (45.381) Prec@5 75.000 (70.910)
Epoch: [42][1490/5005] Time 0.201 (0.213) Data 0.043 (0.048) Loss 2.6433 (2.4133) Prec@1 40.625 (45.384) Prec@5 67.969 (70.913)
Epoch: [42][1500/5005] Time 0.206 (0.213) Data 0.040 (0.048) Loss 2.5178 (2.4134) Prec@1 46.875 (45.390) Prec@5 71.484 (70.914)
Epoch: [42][1510/5005] Time 0.207 (0.213) Data 0.042 (0.048) Loss 2.2237 (2.4131) Prec@1 48.828 (45.402) Prec@5 71.875 (70.916)
Epoch: [42][1520/5005] Time 0.212 (0.213) Data 0.042 (0.048) Loss 2.4335 (2.4131) Prec@1 44.141 (45.393) Prec@5 71.094 (70.916)
Epoch: [42][1530/5005] Time 0.205 (0.213) Data 0.046 (0.048) Loss 2.4913 (2.4129) Prec@1 45.703 (45.397) Prec@5 69.922 (70.918)
Epoch: [42][1540/5005] Time 0.207 (0.213) Data 0.051 (0.048) Loss 2.5650 (2.4131) Prec@1 43.750 (45.389) Prec@5 67.188 (70.915)
Epoch: [42][1550/5005] Time 0.206 (0.212) Data 0.056 (0.048) Loss 2.3153 (2.4128) Prec@1 48.438 (45.393) Prec@5 74.219 (70.920)
Epoch: [42][1560/5005] Time 0.215 (0.212) Data 0.044 (0.048) Loss 2.2755 (2.4128) Prec@1 46.094 (45.396) Prec@5 71.875 (70.921)
Epoch: [42][1570/5005] Time 0.210 (0.212) Data 0.042 (0.048) Loss 2.2313 (2.4125) Prec@1 46.484 (45.406) Prec@5 74.609 (70.923)
Epoch: [42][1580/5005] Time 0.203 (0.212) Data 0.040 (0.048) Loss 2.3223 (2.4128) Prec@1 45.703 (45.404) Prec@5 72.266 (70.921)
Epoch: [42][1590/5005] Time 0.206 (0.212) Data 0.041 (0.048) Loss 2.3763 (2.4126) Prec@1 44.141 (45.401) Prec@5 67.578 (70.917)
Epoch: [42][1600/5005] Time 0.210 (0.212) Data 0.043 (0.048) Loss 2.4647 (2.4128) Prec@1 46.875 (45.404) Prec@5 70.312 (70.916)
Epoch: [42][1610/5005] Time 0.209 (0.212) Data 0.040 (0.048) Loss 2.4099 (2.4127) Prec@1 47.266 (45.412) Prec@5 69.141 (70.912)
Epoch: [42][1620/5005] Time 0.209 (0.212) Data 0.050 (0.048) Loss 2.6441 (2.4126) Prec@1 42.188 (45.408) Prec@5 67.188 (70.918)
Epoch: [42][1630/5005] Time 0.208 (0.212) Data 0.047 (0.048) Loss 2.3579 (2.4127) Prec@1 46.484 (45.409) Prec@5 71.484 (70.915)
Epoch: [42][1640/5005] Time 0.210 (0.212) Data 0.043 (0.048) Loss 2.3675 (2.4130) Prec@1 47.266 (45.409) Prec@5 72.656 (70.915)
Epoch: [42][1650/5005] Time 0.208 (0.212) Data 0.043 (0.048) Loss 2.5005 (2.4130) Prec@1 42.188 (45.417) Prec@5 72.656 (70.918)
Epoch: [42][1660/5005] Time 0.210 (0.212) Data 0.042 (0.048) Loss 2.3559 (2.4123) Prec@1 46.484 (45.432) Prec@5 70.703 (70.925)
Epoch: [42][1670/5005] Time 0.205 (0.212) Data 0.043 (0.048) Loss 2.0969 (2.4124) Prec@1 51.953 (45.438) Prec@5 76.172 (70.927)
Epoch: [42][1680/5005] Time 0.205 (0.212) Data 0.049 (0.048) Loss 2.6289 (2.4125) Prec@1 43.750 (45.435) Prec@5 68.750 (70.925)
Epoch: [42][1690/5005] Time 0.205 (0.212) Data 0.040 (0.047) Loss 2.2241 (2.4121) Prec@1 48.438 (45.443) Prec@5 75.000 (70.930)
Epoch: [42][1700/5005] Time 0.211 (0.212) Data 0.044 (0.047) Loss 2.3326 (2.4118) Prec@1 46.484 (45.442) Prec@5 73.438 (70.938)
Epoch: [42][1710/5005] Time 0.211 (0.212) Data 0.042 (0.047) Loss 2.3361 (2.4113) Prec@1 46.484 (45.441) Prec@5 71.875 (70.948)
Epoch: [42][1720/5005] Time 0.195 (0.212) Data 0.062 (0.047) Loss 2.4543 (2.4116) Prec@1 44.531 (45.428) Prec@5 71.484 (70.945)
Epoch: [42][1730/5005] Time 0.202 (0.212) Data 0.055 (0.047) Loss 2.3347 (2.4114) Prec@1 45.703 (45.430) Prec@5 72.266 (70.950)
Epoch: [42][1740/5005] Time 0.203 (0.212) Data 0.043 (0.048) Loss 2.5065 (2.4110) Prec@1 41.797 (45.435) Prec@5 69.531 (70.959)
Epoch: [42][1750/5005] Time 0.209 (0.212) Data 0.046 (0.047) Loss 2.4009 (2.4107) Prec@1 42.188 (45.438) Prec@5 72.656 (70.964)
Epoch: [42][1760/5005] Time 0.211 (0.212) Data 0.047 (0.047) Loss 2.2327 (2.4106) Prec@1 47.266 (45.443) Prec@5 76.172 (70.967)
Epoch: [42][1770/5005] Time 0.211 (0.212) Data 0.057 (0.047) Loss 2.5159 (2.4105) Prec@1 44.141 (45.437) Prec@5 70.703 (70.973)
Epoch: [42][1780/5005] Time 0.205 (0.212) Data 0.046 (0.048) Loss 2.3683 (2.4104) Prec@1 41.016 (45.432) Prec@5 72.656 (70.972)
Epoch: [42][1790/5005] Time 0.209 (0.212) Data 0.062 (0.048) Loss 2.3300 (2.4101) Prec@1 48.047 (45.436) Prec@5 70.703 (70.972)
Epoch: [42][1800/5005] Time 0.201 (0.212) Data 0.045 (0.048) Loss 2.4535 (2.4099) Prec@1 47.266 (45.445) Prec@5 71.875 (70.979)
Epoch: [42][1810/5005] Time 0.201 (0.212) Data 0.057 (0.048) Loss 2.2541 (2.4098) Prec@1 49.609 (45.446) Prec@5 73.438 (70.982)
Epoch: [42][1820/5005] Time 0.212 (0.212) Data 0.046 (0.048) Loss 2.4600 (2.4096) Prec@1 42.969 (45.451) Prec@5 71.484 (70.987)
Epoch: [42][1830/5005] Time 0.205 (0.212) Data 0.044 (0.048) Loss 2.1707 (2.4091) Prec@1 48.047 (45.455) Prec@5 75.781 (70.996)
Epoch: [42][1840/5005] Time 0.203 (0.212) Data 0.063 (0.048) Loss 2.4447 (2.4091) Prec@1 42.578 (45.455) Prec@5 71.094 (70.999)
Epoch: [42][1850/5005] Time 0.202 (0.212) Data 0.044 (0.048) Loss 2.3834 (2.4089) Prec@1 44.531 (45.455) Prec@5 73.438 (71.004)
Epoch: [42][1860/5005] Time 0.201 (0.212) Data 0.053 (0.048) Loss 2.3046 (2.4090) Prec@1 47.266 (45.453) Prec@5 71.875 (71.002)
Epoch: [42][1870/5005] Time 0.209 (0.212) Data 0.050 (0.048) Loss 2.6543 (2.4093) Prec@1 41.016 (45.445) Prec@5 64.453 (70.996)
Epoch: [42][1880/5005] Time 0.212 (0.212) Data 0.047 (0.048) Loss 2.4711 (2.4093) Prec@1 44.922 (45.440) Prec@5 71.094 (70.999)
Epoch: [42][1890/5005] Time 0.208 (0.212) Data 0.042 (0.048) Loss 2.4852 (2.4093) Prec@1 42.188 (45.442) Prec@5 67.188 (70.994)
Epoch: [42][1900/5005] Time 0.207 (0.212) Data 0.046 (0.048) Loss 2.3982 (2.4098) Prec@1 44.531 (45.433) Prec@5 72.266 (70.986)
Epoch: [42][1910/5005] Time 0.214 (0.211) Data 0.042 (0.048) Loss 2.4127 (2.4101) Prec@1 45.312 (45.421) Prec@5 70.312 (70.986)
Epoch: [42][1920/5005] Time 0.211 (0.211) Data 0.044 (0.048) Loss 2.3294 (2.4098) Prec@1 46.875 (45.416) Prec@5 73.828 (70.991)
Epoch: [42][1930/5005] Time 0.212 (0.211) Data 0.044 (0.048) Loss 2.2074 (2.4096) Prec@1 47.266 (45.421) Prec@5 72.656 (70.995)
Epoch: [42][1940/5005] Time 0.200 (0.211) Data 0.049 (0.048) Loss 2.2562 (2.4091) Prec@1 48.438 (45.425) Prec@5 74.219 (71.004)
Epoch: [42][1950/5005] Time 0.203 (0.211) Data 0.043 (0.048) Loss 2.4253 (2.4089) Prec@1 45.312 (45.431) Prec@5 67.969 (71.002)
Epoch: [42][1960/5005] Time 0.211 (0.211) Data 0.053 (0.048) Loss 2.3838 (2.4087) Prec@1 43.750 (45.435) Prec@5 73.047 (71.006)
Epoch: [42][1970/5005] Time 0.206 (0.211) Data 0.045 (0.048) Loss 2.4062 (2.4088) Prec@1 44.141 (45.428) Prec@5 71.875 (71.002)
Epoch: [42][1980/5005] Time 0.206 (0.211) Data 0.038 (0.048) Loss 2.2789 (2.4086) Prec@1 49.609 (45.437) Prec@5 72.656 (71.007)
Epoch: [42][1990/5005] Time 0.203 (0.211) Data 0.045 (0.048) Loss 2.2429 (2.4083) Prec@1 50.781 (45.445) Prec@5 73.047 (71.012)
Epoch: [42][2000/5005] Time 0.203 (0.211) Data 0.042 (0.048) Loss 2.2499 (2.4084) Prec@1 48.828 (45.442) Prec@5 76.953 (71.008)
Epoch: [42][2010/5005] Time 0.208 (0.212) Data 0.043 (0.048) Loss 2.3364 (2.4086) Prec@1 49.219 (45.438) Prec@5 74.219 (71.007)
Epoch: [42][2020/5005] Time 0.208 (0.212) Data 0.044 (0.047) Loss 2.3064 (2.4085) Prec@1 48.438 (45.435) Prec@5 71.484 (71.006)
Epoch: [42][2030/5005] Time 0.194 (0.212) Data 0.045 (0.047) Loss 2.3170 (2.4087) Prec@1 44.531 (45.436) Prec@5 74.219 (71.000)
Epoch: [42][2040/5005] Time 0.206 (0.212) Data 0.047 (0.047) Loss 2.1217 (2.4085) Prec@1 52.344 (45.439) Prec@5 77.344 (71.002)
Epoch: [42][2050/5005] Time 0.200 (0.212) Data 0.046 (0.047) Loss 2.4107 (2.4084) Prec@1 45.312 (45.438) Prec@5 72.266 (71.007)
Epoch: [42][2060/5005] Time 0.205 (0.212) Data 0.044 (0.047) Loss 2.3315 (2.4085) Prec@1 45.312 (45.431) Prec@5 71.484 (71.004)
Epoch: [42][2070/5005] Time 0.209 (0.211) Data 0.046 (0.047) Loss 2.5793 (2.4088) Prec@1 42.188 (45.424) Prec@5 68.750 (70.998)
Epoch: [42][2080/5005] Time 0.217 (0.211) Data 0.043 (0.047) Loss 2.4525 (2.4089) Prec@1 45.703 (45.424) Prec@5 70.703 (70.995)
Epoch: [42][2090/5005] Time 0.204 (0.211) Data 0.039 (0.047) Loss 2.3676 (2.4086) Prec@1 46.484 (45.424) Prec@5 74.609 (71.001)
Epoch: [42][2100/5005] Time 0.202 (0.211) Data 0.041 (0.047) Loss 2.4718 (2.4083) Prec@1 42.578 (45.429) Prec@5 70.312 (71.008)
Epoch: [42][2110/5005] Time 0.204 (0.211) Data 0.057 (0.047) Loss 2.1977 (2.4083) Prec@1 48.047 (45.434) Prec@5 77.734 (71.013)
Epoch: [42][2120/5005] Time 0.213 (0.211) Data 0.056 (0.048) Loss 2.4801 (2.4084) Prec@1 45.703 (45.433) Prec@5 70.312 (71.013)
Epoch: [42][2130/5005] Time 0.205 (0.211) Data 0.063 (0.048) Loss 2.3969 (2.4080) Prec@1 46.875 (45.440) Prec@5 70.312 (71.020)
Epoch: [42][2140/5005] Time 0.200 (0.211) Data 0.057 (0.048) Loss 2.4472 (2.4081) Prec@1 45.312 (45.438) Prec@5 71.875 (71.019)
Epoch: [42][2150/5005] Time 0.203 (0.211) Data 0.059 (0.048) Loss 2.2640 (2.4080) Prec@1 48.438 (45.436) Prec@5 73.828 (71.019)
Epoch: [42][2160/5005] Time 0.200 (0.211) Data 0.052 (0.048) Loss 2.3146 (2.4079) Prec@1 42.188 (45.438) Prec@5 72.266 (71.023)
Epoch: [42][2170/5005] Time 0.212 (0.211) Data 0.042 (0.048) Loss 2.1182 (2.4076) Prec@1 50.781 (45.443) Prec@5 73.828 (71.026)
Epoch: [42][2180/5005] Time 0.201 (0.211) Data 0.047 (0.048) Loss 2.3545 (2.4074) Prec@1 46.484 (45.448) Prec@5 71.875 (71.032)
Epoch: [42][2190/5005] Time 0.199 (0.211) Data 0.051 (0.048) Loss 2.6439 (2.4075) Prec@1 43.750 (45.449) Prec@5 67.578 (71.033)
Epoch: [42][2200/5005] Time 0.206 (0.211) Data 0.045 (0.048) Loss 2.5609 (2.4077) Prec@1 43.750 (45.447) Prec@5 66.406 (71.031)
Epoch: [42][2210/5005] Time 0.201 (0.211) Data 0.046 (0.048) Loss 2.4487 (2.4079) Prec@1 41.016 (45.438) Prec@5 72.266 (71.033)
Epoch: [42][2220/5005] Time 0.214 (0.211) Data 0.044 (0.048) Loss 2.6030 (2.4079) Prec@1 47.656 (45.436) Prec@5 64.844 (71.030)
Epoch: [42][2230/5005] Time 0.212 (0.211) Data 0.047 (0.048) Loss 2.2746 (2.4079) Prec@1 45.312 (45.431) Prec@5 72.266 (71.028)
Epoch: [42][2240/5005] Time 0.207 (0.211) Data 0.039 (0.048) Loss 2.3357 (2.4079) Prec@1 46.094 (45.429) Prec@5 75.391 (71.037)
Epoch: [42][2250/5005] Time 0.200 (0.211) Data 0.051 (0.048) Loss 2.3034 (2.4079) Prec@1 50.000 (45.433) Prec@5 74.219 (71.039)
Epoch: [42][2260/5005] Time 0.208 (0.211) Data 0.043 (0.048) Loss 2.3152 (2.4075) Prec@1 42.969 (45.441) Prec@5 73.828 (71.044)
Epoch: [42][2270/5005] Time 0.211 (0.211) Data 0.042 (0.048) Loss 2.4565 (2.4071) Prec@1 47.266 (45.453) Prec@5 71.094 (71.049)
Epoch: [42][2280/5005] Time 0.202 (0.211) Data 0.061 (0.048) Loss 2.3775 (2.4070) Prec@1 46.094 (45.458) Prec@5 73.438 (71.056)
Epoch: [42][2290/5005] Time 0.210 (0.211) Data 0.041 (0.048) Loss 2.3029 (2.4071) Prec@1 48.047 (45.458) Prec@5 72.656 (71.054)
Epoch: [42][2300/5005] Time 0.204 (0.211) Data 0.048 (0.048) Loss 2.3511 (2.4072) Prec@1 50.391 (45.457) Prec@5 68.750 (71.051)
Epoch: [42][2310/5005] Time 0.208 (0.211) Data 0.043 (0.048) Loss 2.3221 (2.4072) Prec@1 45.703 (45.461) Prec@5 67.969 (71.048)
Epoch: [42][2320/5005] Time 0.201 (0.211) Data 0.048 (0.048) Loss 2.5125 (2.4070) Prec@1 44.531 (45.468) Prec@5 70.312 (71.047)
Epoch: [42][2330/5005] Time 0.208 (0.211) Data 0.041 (0.048) Loss 2.4318 (2.4069) Prec@1 42.969 (45.468) Prec@5 69.141 (71.049)
Epoch: [42][2340/5005] Time 0.197 (0.211) Data 0.043 (0.048) Loss 2.4704 (2.4065) Prec@1 41.406 (45.475) Prec@5 69.141 (71.058)
Epoch: [42][2350/5005] Time 0.199 (0.211) Data 0.043 (0.048) Loss 2.3510 (2.4063) Prec@1 45.312 (45.480) Prec@5 71.875 (71.059)
Epoch: [42][2360/5005] Time 0.211 (0.211) Data 0.043 (0.048) Loss 2.4641 (2.4063) Prec@1 42.188 (45.479) Prec@5 68.359 (71.057)
Epoch: [42][2370/5005] Time 0.200 (0.211) Data 0.048 (0.048) Loss 2.4894 (2.4064) Prec@1 41.797 (45.477) Prec@5 69.922 (71.057)
Epoch: [42][2380/5005] Time 0.203 (0.211) Data 0.048 (0.048) Loss 2.4466 (2.4062) Prec@1 48.047 (45.484) Prec@5 69.922 (71.061)
Epoch: [42][2390/5005] Time 0.208 (0.211) Data 0.042 (0.048) Loss 2.4763 (2.4061) Prec@1 44.922 (45.488) Prec@5 68.750 (71.060)
Epoch: [42][2400/5005] Time 0.202 (0.211) Data 0.048 (0.047) Loss 2.3801 (2.4063) Prec@1 44.141 (45.482) Prec@5 71.094 (71.054)
Epoch: [42][2410/5005] Time 0.209 (0.211) Data 0.046 (0.047) Loss 2.6182 (2.4064) Prec@1 44.531 (45.482) Prec@5 66.016 (71.053)
Epoch: [42][2420/5005] Time 0.211 (0.211) Data 0.042 (0.047) Loss 2.4530 (2.4062) Prec@1 44.141 (45.485) Prec@5 71.875 (71.063)
Epoch: [42][2430/5005] Time 0.211 (0.211) Data 0.043 (0.047) Loss 2.3254 (2.4062) Prec@1 48.438 (45.485) Prec@5 69.141 (71.061)
Epoch: [42][2440/5005] Time 0.208 (0.211) Data 0.039 (0.047) Loss 2.1291 (2.4063) Prec@1 54.297 (45.491) Prec@5 75.781 (71.055)
Epoch: [42][2450/5005] Time 0.215 (0.211) Data 0.043 (0.047) Loss 2.2903 (2.4062) Prec@1 47.266 (45.491) Prec@5 71.875 (71.057)
Epoch: [42][2460/5005] Time 0.211 (0.211) Data 0.041 (0.047) Loss 2.2989 (2.4059) Prec@1 43.750 (45.492) Prec@5 75.000 (71.061)
Epoch: [42][2470/5005] Time 0.212 (0.211) Data 0.041 (0.047) Loss 2.2417 (2.4056) Prec@1 47.266 (45.498) Prec@5 72.656 (71.066)
Epoch: [42][2480/5005] Time 0.204 (0.211) Data 0.040 (0.047) Loss 2.5504 (2.4057) Prec@1 45.312 (45.499) Prec@5 67.969 (71.063)
Epoch: [42][2490/5005] Time 0.214 (0.211) Data 0.043 (0.047) Loss 2.2357 (2.4057) Prec@1 47.266 (45.500) Prec@5 76.172 (71.066)
Epoch: [42][2500/5005] Time 0.210 (0.211) Data 0.043 (0.047) Loss 2.4223 (2.4055) Prec@1 46.094 (45.500) Prec@5 69.141 (71.066)
Epoch: [42][2510/5005] Time 0.208 (0.211) Data 0.045 (0.047) Loss 2.4818 (2.4056) Prec@1 42.969 (45.497) Prec@5 73.438 (71.067)
Epoch: [42][2520/5005] Time 0.200 (0.211) Data 0.060 (0.047) Loss 2.3156 (2.4057) Prec@1 49.219 (45.497) Prec@5 74.609 (71.067)
Epoch: [42][2530/5005] Time 0.211 (0.211) Data 0.058 (0.047) Loss 2.6527 (2.4060) Prec@1 40.625 (45.491) Prec@5 66.406 (71.063)
Epoch: [42][2540/5005] Time 0.199 (0.211) Data 0.041 (0.047) Loss 2.4237 (2.4059) Prec@1 44.922 (45.496) Prec@5 71.484 (71.065)
Epoch: [42][2550/5005] Time 0.203 (0.211) Data 0.041 (0.047) Loss 2.3525 (2.4059) Prec@1 44.141 (45.496) Prec@5 71.484 (71.062)
Epoch: [42][2560/5005] Time 0.203 (0.211) Data 0.041 (0.047) Loss 2.5976 (2.4060) Prec@1 40.234 (45.497) Prec@5 67.188 (71.061)
Epoch: [42][2570/5005] Time 0.206 (0.211) Data 0.043 (0.047) Loss 2.3731 (2.4063) Prec@1 45.312 (45.494) Prec@5 74.219 (71.056)
Epoch: [42][2580/5005] Time 0.206 (0.211) Data 0.057 (0.047) Loss 2.4458 (2.4065) Prec@1 45.703 (45.493) Prec@5 67.969 (71.049)
Epoch: [42][2590/5005] Time 0.209 (0.211) Data 0.056 (0.047) Loss 2.5366 (2.4062) Prec@1 43.359 (45.501) Prec@5 67.188 (71.053)
Epoch: [42][2600/5005] Time 0.195 (0.211) Data 0.045 (0.047) Loss 2.4232 (2.4064) Prec@1 43.359 (45.499) Prec@5 73.438 (71.049)
Epoch: [42][2610/5005] Time 0.203 (0.210) Data 0.049 (0.047) Loss 2.5205 (2.4061) Prec@1 46.484 (45.506) Prec@5 68.359 (71.052)
Epoch: [42][2620/5005] Time 0.215 (0.210) Data 0.045 (0.047) Loss 2.3406 (2.4061) Prec@1 48.438 (45.507) Prec@5 70.703 (71.052)
Epoch: [42][2630/5005] Time 0.203 (0.210) Data 0.042 (0.047) Loss 2.6323 (2.4062) Prec@1 42.969 (45.506) Prec@5 67.969 (71.051)
Epoch: [42][2640/5005] Time 0.210 (0.210) Data 0.042 (0.047) Loss 2.4975 (2.4061) Prec@1 45.703 (45.511) Prec@5 66.797 (71.054)
Epoch: [42][2650/5005] Time 0.209 (0.210) Data 0.043 (0.047) Loss 2.5226 (2.4060) Prec@1 44.531 (45.514) Prec@5 68.359 (71.051)
Epoch: [42][2660/5005] Time 0.204 (0.210) Data 0.044 (0.047) Loss 2.3583 (2.4059) Prec@1 45.703 (45.519) Prec@5 71.875 (71.051)
Epoch: [42][2670/5005] Time 0.204 (0.210) Data 0.044 (0.047) Loss 2.1105 (2.4055) Prec@1 50.391 (45.526) Prec@5 75.781 (71.058)
Epoch: [42][2680/5005] Time 0.199 (0.210) Data 0.041 (0.047) Loss 2.2891 (2.4055) Prec@1 46.484 (45.523) Prec@5 73.438 (71.058)
Epoch: [42][2690/5005] Time 0.213 (0.210) Data 0.041 (0.047) Loss 2.3525 (2.4054) Prec@1 48.828 (45.526) Prec@5 71.094 (71.059)
Epoch: [42][2700/5005] Time 0.198 (0.210) Data 0.043 (0.047) Loss 2.4044 (2.4055) Prec@1 45.703 (45.524) Prec@5 72.656 (71.059)
Epoch: [42][2710/5005] Time 0.209 (0.210) Data 0.048 (0.047) Loss 2.1488 (2.4054) Prec@1 49.219 (45.525) Prec@5 76.562 (71.059)
Epoch: [42][2720/5005] Time 0.213 (0.210) Data 0.041 (0.047) Loss 2.2631 (2.4054) Prec@1 47.266 (45.524) Prec@5 74.219 (71.059)
Epoch: [42][2730/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.4935 (2.4052) Prec@1 43.750 (45.524) Prec@5 69.141 (71.059)
Epoch: [42][2740/5005] Time 0.211 (0.210) Data 0.046 (0.047) Loss 2.3292 (2.4051) Prec@1 46.484 (45.525) Prec@5 72.266 (71.059)
Epoch: [42][2750/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.3675 (2.4051) Prec@1 49.219 (45.526) Prec@5 71.875 (71.059)
Epoch: [42][2760/5005] Time 0.215 (0.210) Data 0.042 (0.047) Loss 2.3761 (2.4050) Prec@1 46.094 (45.530) Prec@5 72.656 (71.059)
Epoch: [42][2770/5005] Time 0.212 (0.210) Data 0.045 (0.047) Loss 2.3923 (2.4051) Prec@1 44.922 (45.527) Prec@5 71.875 (71.059)
Epoch: [42][2780/5005] Time 0.216 (0.210) Data 0.040 (0.047) Loss 2.7697 (2.4052) Prec@1 38.281 (45.530) Prec@5 67.578 (71.059)
Epoch: [42][2790/5005] Time 0.205 (0.210) Data 0.059 (0.047) Loss 2.6914 (2.4053) Prec@1 39.453 (45.533) Prec@5 64.062 (71.057)
Epoch: [42][2800/5005] Time 0.210 (0.210) Data 0.040 (0.047) Loss 2.1224 (2.4050) Prec@1 53.125 (45.538) Prec@5 76.172 (71.060)
Epoch: [42][2810/5005] Time 0.219 (0.210) Data 0.040 (0.047) Loss 2.6619 (2.4050) Prec@1 42.578 (45.540) Prec@5 67.578 (71.062)
Epoch: [42][2820/5005] Time 0.208 (0.210) Data 0.041 (0.047) Loss 1.9635 (2.4047) Prec@1 51.172 (45.546) Prec@5 76.953 (71.063)
Epoch: [42][2830/5005] Time 0.201 (0.210) Data 0.055 (0.047) Loss 2.6343 (2.4047) Prec@1 43.359 (45.542) Prec@5 67.188 (71.063)
Epoch: [42][2840/5005] Time 0.211 (0.210) Data 0.042 (0.047) Loss 2.5565 (2.4047) Prec@1 43.750 (45.542) Prec@5 67.578 (71.061)
Epoch: [42][2850/5005] Time 0.208 (0.210) Data 0.046 (0.047) Loss 2.2933 (2.4046) Prec@1 47.656 (45.543) Prec@5 73.047 (71.060)
Epoch: [42][2860/5005] Time 0.216 (0.210) Data 0.040 (0.047) Loss 2.4808 (2.4047) Prec@1 45.312 (45.546) Prec@5 68.359 (71.057)
Epoch: [42][2870/5005] Time 0.193 (0.210) Data 0.044 (0.047) Loss 2.3346 (2.4043) Prec@1 47.656 (45.553) Prec@5 73.438 (71.063)
Epoch: [42][2880/5005] Time 0.201 (0.210) Data 0.050 (0.047) Loss 2.4265 (2.4043) Prec@1 44.531 (45.552) Prec@5 72.266 (71.063)
Epoch: [42][2890/5005] Time 0.202 (0.210) Data 0.044 (0.047) Loss 2.3997 (2.4041) Prec@1 41.797 (45.556) Prec@5 72.656 (71.068)
Epoch: [42][2900/5005] Time 0.208 (0.210) Data 0.041 (0.047) Loss 2.1603 (2.4038) Prec@1 51.953 (45.563) Prec@5 75.000 (71.074)
Epoch: [42][2910/5005] Time 0.211 (0.210) Data 0.044 (0.047) Loss 2.3950 (2.4037) Prec@1 46.094 (45.562) Prec@5 72.266 (71.076)
Epoch: [42][2920/5005] Time 0.212 (0.210) Data 0.048 (0.047) Loss 2.5628 (2.4039) Prec@1 41.797 (45.558) Prec@5 69.141 (71.073)
Epoch: [42][2930/5005] Time 0.207 (0.210) Data 0.048 (0.047) Loss 2.6084 (2.4040) Prec@1 39.844 (45.555) Prec@5 68.359 (71.070)
Epoch: [42][2940/5005] Time 0.208 (0.210) Data 0.048 (0.047) Loss 2.4196 (2.4038) Prec@1 47.656 (45.561) Prec@5 72.656 (71.075)
Epoch: [42][2950/5005] Time 0.205 (0.210) Data 0.053 (0.047) Loss 2.5899 (2.4035) Prec@1 41.016 (45.567) Prec@5 69.922 (71.079)
Epoch: [42][2960/5005] Time 0.205 (0.210) Data 0.041 (0.047) Loss 2.2841 (2.4035) Prec@1 48.438 (45.569) Prec@5 73.047 (71.079)
Epoch: [42][2970/5005] Time 0.196 (0.210) Data 0.041 (0.047) Loss 2.4672 (2.4034) Prec@1 41.016 (45.569) Prec@5 68.750 (71.080)
Epoch: [42][2980/5005] Time 0.212 (0.210) Data 0.041 (0.047) Loss 2.5215 (2.4034) Prec@1 41.797 (45.571) Prec@5 69.531 (71.082)
Epoch: [42][2990/5005] Time 0.206 (0.210) Data 0.045 (0.047) Loss 2.2509 (2.4034) Prec@1 45.312 (45.567) Prec@5 70.703 (71.081)
Epoch: [42][3000/5005] Time 0.208 (0.210) Data 0.041 (0.047) Loss 2.4031 (2.4032) Prec@1 42.188 (45.569) Prec@5 69.531 (71.081)
Epoch: [42][3010/5005] Time 0.199 (0.210) Data 0.042 (0.047) Loss 2.3550 (2.4034) Prec@1 45.312 (45.566) Prec@5 67.969 (71.075)
Epoch: [42][3020/5005] Time 0.203 (0.210) Data 0.046 (0.047) Loss 2.4331 (2.4035) Prec@1 44.531 (45.565) Prec@5 67.969 (71.070)
Epoch: [42][3030/5005] Time 0.211 (0.210) Data 0.043 (0.047) Loss 2.4329 (2.4036) Prec@1 45.703 (45.563) Prec@5 72.266 (71.071)
Epoch: [42][3040/5005] Time 0.208 (0.210) Data 0.041 (0.047) Loss 2.2130 (2.4034) Prec@1 47.656 (45.566) Prec@5 73.828 (71.072)
Epoch: [42][3050/5005] Time 0.205 (0.210) Data 0.042 (0.047) Loss 2.3304 (2.4034) Prec@1 39.062 (45.564) Prec@5 73.438 (71.072)
Epoch: [42][3060/5005] Time 0.210 (0.210) Data 0.043 (0.047) Loss 2.2545 (2.4031) Prec@1 47.266 (45.564) Prec@5 74.219 (71.078)
Epoch: [42][3070/5005] Time 0.212 (0.210) Data 0.043 (0.047) Loss 2.3535 (2.4032) Prec@1 47.656 (45.561) Prec@5 69.531 (71.075)
Epoch: [42][3080/5005] Time 0.209 (0.210) Data 0.045 (0.047) Loss 2.3467 (2.4032) Prec@1 44.531 (45.558) Prec@5 72.656 (71.075)
Epoch: [42][3090/5005] Time 0.212 (0.210) Data 0.042 (0.047) Loss 2.6736 (2.4032) Prec@1 35.156 (45.555) Prec@5 66.406 (71.076)
Epoch: [42][3100/5005] Time 0.213 (0.210) Data 0.043 (0.047) Loss 2.4031 (2.4033) Prec@1 47.266 (45.553) Prec@5 71.094 (71.072)
Epoch: [42][3110/5005] Time 0.206 (0.210) Data 0.039 (0.047) Loss 2.0836 (2.4029) Prec@1 49.219 (45.556) Prec@5 73.828 (71.079)
Epoch: [42][3120/5005] Time 0.207 (0.210) Data 0.042 (0.047) Loss 2.4647 (2.4028) Prec@1 45.312 (45.556) Prec@5 69.922 (71.078)
Epoch: [42][3130/5005] Time 0.204 (0.210) Data 0.043 (0.047) Loss 2.5191 (2.4027) Prec@1 43.359 (45.556) Prec@5 68.359 (71.080)
Epoch: [42][3140/5005] Time 0.211 (0.210) Data 0.041 (0.047) Loss 2.0889 (2.4024) Prec@1 54.688 (45.564) Prec@5 76.953 (71.085)
Epoch: [42][3150/5005] Time 0.208 (0.210) Data 0.041 (0.047) Loss 2.2843 (2.4023) Prec@1 50.000 (45.569) Prec@5 73.438 (71.087)
Epoch: [42][3160/5005] Time 0.208 (0.210) Data 0.041 (0.047) Loss 2.2524 (2.4022) Prec@1 50.391 (45.574) Prec@5 70.703 (71.087)
Epoch: [42][3170/5005] Time 0.209 (0.210) Data 0.042 (0.047) Loss 2.4649 (2.4022) Prec@1 41.797 (45.576) Prec@5 69.141 (71.087)
Epoch: [42][3180/5005] Time 0.207 (0.210) Data 0.039 (0.047) Loss 2.2047 (2.4022) Prec@1 53.906 (45.578) Prec@5 73.438 (71.086)
Epoch: [42][3190/5005] Time 0.209 (0.210) Data 0.042 (0.047) Loss 2.3592 (2.4023) Prec@1 46.875 (45.579) Prec@5 70.703 (71.089)
Epoch: [42][3200/5005] Time 0.204 (0.210) Data 0.042 (0.047) Loss 2.4903 (2.4021) Prec@1 42.578 (45.584) Prec@5 70.312 (71.091)
Epoch: [42][3210/5005] Time 0.195 (0.210) Data 0.047 (0.047) Loss 2.4510 (2.4021) Prec@1 46.875 (45.587) Prec@5 68.750 (71.093)
Epoch: [42][3220/5005] Time 0.208 (0.210) Data 0.044 (0.047) Loss 2.3433 (2.4021) Prec@1 46.094 (45.590) Prec@5 71.875 (71.095)
Epoch: [42][3230/5005] Time 0.197 (0.210) Data 0.047 (0.047) Loss 2.3750 (2.4019) Prec@1 44.922 (45.595) Prec@5 70.312 (71.100)
Epoch: [42][3240/5005] Time 0.207 (0.210) Data 0.042 (0.047) Loss 2.6899 (2.4022) Prec@1 38.281 (45.590) Prec@5 65.625 (71.092)
Epoch: [42][3250/5005] Time 0.207 (0.210) Data 0.049 (0.047) Loss 2.3596 (2.4023) Prec@1 48.047 (45.588) Prec@5 71.094 (71.094)
Epoch: [42][3260/5005] Time 0.211 (0.210) Data 0.041 (0.047) Loss 2.2732 (2.4023) Prec@1 46.875 (45.585) Prec@5 71.875 (71.092)
Epoch: [42][3270/5005] Time 0.209 (0.210) Data 0.047 (0.047) Loss 2.5792 (2.4022) Prec@1 43.359 (45.587) Prec@5 66.016 (71.093)
Epoch: [42][3280/5005] Time 0.210 (0.210) Data 0.041 (0.047) Loss 2.3884 (2.4023) Prec@1 46.094 (45.582) Prec@5 69.922 (71.092)
Epoch: [42][3290/5005] Time 0.214 (0.210) Data 0.039 (0.047) Loss 2.3766 (2.4022) Prec@1 46.875 (45.580) Prec@5 68.750 (71.094)
Epoch: [42][3300/5005] Time 0.201 (0.210) Data 0.044 (0.047) Loss 2.4278 (2.4022) Prec@1 40.625 (45.579) Prec@5 67.188 (71.094)
Epoch: [42][3310/5005] Time 0.214 (0.210) Data 0.042 (0.047) Loss 2.3125 (2.4023) Prec@1 44.141 (45.579) Prec@5 73.438 (71.093)
Epoch: [42][3320/5005] Time 0.209 (0.210) Data 0.039 (0.047) Loss 2.4175 (2.4022) Prec@1 45.703 (45.580) Prec@5 67.969 (71.091)
Epoch: [42][3330/5005] Time 0.210 (0.210) Data 0.043 (0.047) Loss 2.5207 (2.4022) Prec@1 43.750 (45.581) Prec@5 67.188 (71.090)
Epoch: [42][3340/5005] Time 0.210 (0.210) Data 0.048 (0.047) Loss 2.4928 (2.4023) Prec@1 43.750 (45.582) Prec@5 71.484 (71.090)
Epoch: [42][3350/5005] Time 0.198 (0.210) Data 0.045 (0.047) Loss 2.4708 (2.4022) Prec@1 50.391 (45.586) Prec@5 70.703 (71.090)
Epoch: [42][3360/5005] Time 0.215 (0.210) Data 0.046 (0.047) Loss 2.3643 (2.4022) Prec@1 48.047 (45.586) Prec@5 73.047 (71.092)
Epoch: [42][3370/5005] Time 0.212 (0.210) Data 0.042 (0.047) Loss 2.3987 (2.4023) Prec@1 42.188 (45.583) Prec@5 72.266 (71.090)
Epoch: [42][3380/5005] Time 0.202 (0.210) Data 0.042 (0.047) Loss 2.4232 (2.4021) Prec@1 43.359 (45.586) Prec@5 70.312 (71.094)
Epoch: [42][3390/5005] Time 0.208 (0.210) Data 0.041 (0.047) Loss 2.1936 (2.4022) Prec@1 49.609 (45.583) Prec@5 75.781 (71.095)
Epoch: [42][3400/5005] Time 0.213 (0.210) Data 0.045 (0.047) Loss 2.3194 (2.4022) Prec@1 49.609 (45.584) Prec@5 73.438 (71.095)
Epoch: [42][3410/5005] Time 0.209 (0.210) Data 0.043 (0.047) Loss 2.2674 (2.4021) Prec@1 47.266 (45.587) Prec@5 75.781 (71.099)
Epoch: [42][3420/5005] Time 0.206 (0.210) Data 0.039 (0.047) Loss 2.2755 (2.4020) Prec@1 50.391 (45.589) Prec@5 73.438 (71.104)
Epoch: [42][3430/5005] Time 0.209 (0.210) Data 0.042 (0.047) Loss 2.4048 (2.4019) Prec@1 46.484 (45.590) Prec@5 68.750 (71.105)
Epoch: [42][3440/5005] Time 0.214 (0.210) Data 0.041 (0.047) Loss 2.5062 (2.4019) Prec@1 44.531 (45.590) Prec@5 68.750 (71.104)
Epoch: [42][3450/5005] Time 0.208 (0.210) Data 0.044 (0.047) Loss 2.2012 (2.4018) Prec@1 50.000 (45.593) Prec@5 73.828 (71.106)
Epoch: [42][3460/5005] Time 0.194 (0.210) Data 0.052 (0.047) Loss 2.3893 (2.4018) Prec@1 46.484 (45.592) Prec@5 71.094 (71.107)
Epoch: [42][3470/5005] Time 0.193 (0.210) Data 0.045 (0.047) Loss 2.1779 (2.4015) Prec@1 48.438 (45.595) Prec@5 74.219 (71.110)
Epoch: [42][3480/5005] Time 0.200 (0.210) Data 0.044 (0.047) Loss 2.3727 (2.4013) Prec@1 46.094 (45.597) Prec@5 73.828 (71.113)
Epoch: [42][3490/5005] Time 0.198 (0.210) Data 0.039 (0.047) Loss 2.4272 (2.4014) Prec@1 48.047 (45.595) Prec@5 72.266 (71.111)
Epoch: [42][3500/5005] Time 0.204 (0.210) Data 0.041 (0.047) Loss 2.2768 (2.4015) Prec@1 44.922 (45.592) Prec@5 75.000 (71.111)
Epoch: [42][3510/5005] Time 0.211 (0.210) Data 0.041 (0.047) Loss 2.2414 (2.4013) Prec@1 46.484 (45.594) Prec@5 74.609 (71.115)
Epoch: [42][3520/5005] Time 0.213 (0.210) Data 0.041 (0.047) Loss 2.5251 (2.4014) Prec@1 44.922 (45.594) Prec@5 69.141 (71.113)
Epoch: [42][3530/5005] Time 0.204 (0.210) Data 0.040 (0.047) Loss 2.4006 (2.4012) Prec@1 45.703 (45.596) Prec@5 71.484 (71.115)
Epoch: [42][3540/5005] Time 0.210 (0.210) Data 0.041 (0.047) Loss 2.2013 (2.4010) Prec@1 48.438 (45.600) Prec@5 76.562 (71.119)
Epoch: [42][3550/5005] Time 0.205 (0.210) Data 0.049 (0.047) Loss 2.3425 (2.4008) Prec@1 46.875 (45.603) Prec@5 72.266 (71.120)
Epoch: [42][3560/5005] Time 0.200 (0.210) Data 0.049 (0.047) Loss 2.4517 (2.4007) Prec@1 44.531 (45.605) Prec@5 72.266 (71.122)
Epoch: [42][3570/5005] Time 0.211 (0.210) Data 0.041 (0.047) Loss 2.4360 (2.4007) Prec@1 49.609 (45.603) Prec@5 70.312 (71.123)
Epoch: [42][3580/5005] Time 0.205 (0.210) Data 0.049 (0.047) Loss 2.3671 (2.4007) Prec@1 47.266 (45.602) Prec@5 69.922 (71.122)
Epoch: [42][3590/5005] Time 0.202 (0.210) Data 0.057 (0.047) Loss 2.5041 (2.4004) Prec@1 45.703 (45.609) Prec@5 70.312 (71.128)
Epoch: [42][3600/5005] Time 0.209 (0.210) Data 0.042 (0.047) Loss 2.4406 (2.4002) Prec@1 46.875 (45.616) Prec@5 67.969 (71.131)
Epoch: [42][3610/5005] Time 0.202 (0.210) Data 0.041 (0.047) Loss 2.3029 (2.4002) Prec@1 49.609 (45.616) Prec@5 71.094 (71.129)
Epoch: [42][3620/5005] Time 0.199 (0.210) Data 0.044 (0.047) Loss 2.6185 (2.4000) Prec@1 39.453 (45.621) Prec@5 69.531 (71.135)
Epoch: [42][3630/5005] Time 0.211 (0.210) Data 0.042 (0.047) Loss 2.6446 (2.3999) Prec@1 41.406 (45.622) Prec@5 66.797 (71.135)
Epoch: [42][3640/5005] Time 0.200 (0.210) Data 0.058 (0.047) Loss 2.4160 (2.3999) Prec@1 47.266 (45.625) Prec@5 70.703 (71.134)
Epoch: [42][3650/5005] Time 0.194 (0.210) Data 0.047 (0.047) Loss 2.3596 (2.3999) Prec@1 44.141 (45.625) Prec@5 71.875 (71.134)
Epoch: [42][3660/5005] Time 0.199 (0.210) Data 0.042 (0.047) Loss 2.4630 (2.3997) Prec@1 39.844 (45.628) Prec@5 69.141 (71.136)
Epoch: [42][3670/5005] Time 0.197 (0.210) Data 0.062 (0.047) Loss 2.5645 (2.3998) Prec@1 41.797 (45.627) Prec@5 72.266 (71.136)
Epoch: [42][3680/5005] Time 0.207 (0.210) Data 0.048 (0.047) Loss 2.4418 (2.3999) Prec@1 43.359 (45.624) Prec@5 69.922 (71.136)
Epoch: [42][3690/5005] Time 0.210 (0.210) Data 0.041 (0.047) Loss 2.2666 (2.3998) Prec@1 46.094 (45.624) Prec@5 75.000 (71.138)
Epoch: [42][3700/5005] Time 0.205 (0.210) Data 0.049 (0.047) Loss 2.3736 (2.3998) Prec@1 48.047 (45.625) Prec@5 72.266 (71.137)
Epoch: [42][3710/5005] Time 0.209 (0.210) Data 0.043 (0.047) Loss 2.4240 (2.3998) Prec@1 46.875 (45.625) Prec@5 72.656 (71.138)
Epoch: [42][3720/5005] Time 0.215 (0.210) Data 0.041 (0.047) Loss 2.4898 (2.3998) Prec@1 45.312 (45.625) Prec@5 71.875 (71.137)
Epoch: [42][3730/5005] Time 0.193 (0.210) Data 0.053 (0.047) Loss 2.2541 (2.3996) Prec@1 48.438 (45.625) Prec@5 75.781 (71.138)
Epoch: [42][3740/5005] Time 0.202 (0.210) Data 0.041 (0.047) Loss 2.3878 (2.3994) Prec@1 46.875 (45.632) Prec@5 73.828 (71.140)
Epoch: [42][3750/5005] Time 0.203 (0.210) Data 0.067 (0.047) Loss 2.3057 (2.3996) Prec@1 48.438 (45.628) Prec@5 73.438 (71.138)
Epoch: [42][3760/5005] Time 0.189 (0.210) Data 0.044 (0.047) Loss 2.4179 (2.3997) Prec@1 47.656 (45.626) Prec@5 69.531 (71.136)
Epoch: [42][3770/5005] Time 0.206 (0.210) Data 0.049 (0.047) Loss 2.5023 (2.3995) Prec@1 47.656 (45.628) Prec@5 66.797 (71.137)
Epoch: [42][3780/5005] Time 0.211 (0.210) Data 0.047 (0.047) Loss 2.3402 (2.3995) Prec@1 44.531 (45.628) Prec@5 72.266 (71.140)
Epoch: [42][3790/5005] Time 0.201 (0.210) Data 0.050 (0.047) Loss 2.4973 (2.3996) Prec@1 47.656 (45.625) Prec@5 69.922 (71.138)
Epoch: [42][3800/5005] Time 0.201 (0.210) Data 0.060 (0.047) Loss 2.3479 (2.3998) Prec@1 45.703 (45.622) Prec@5 71.875 (71.135)
Epoch: [42][3810/5005] Time 0.207 (0.210) Data 0.066 (0.047) Loss 2.2620 (2.3998) Prec@1 50.000 (45.619) Prec@5 73.438 (71.134)
Epoch: [42][3820/5005] Time 0.202 (0.210) Data 0.044 (0.047) Loss 2.2729 (2.3996) Prec@1 48.438 (45.622) Prec@5 76.562 (71.139)
Epoch: [42][3830/5005] Time 0.209 (0.210) Data 0.048 (0.047) Loss 2.3361 (2.3994) Prec@1 43.359 (45.625) Prec@5 73.047 (71.145)
Epoch: [42][3840/5005] Time 0.198 (0.209) Data 0.046 (0.047) Loss 2.6555 (2.3994) Prec@1 37.891 (45.623) Prec@5 66.406 (71.143)
Epoch: [42][3850/5005] Time 0.205 (0.209) Data 0.051 (0.047) Loss 2.5615 (2.3993) Prec@1 45.312 (45.622) Prec@5 69.141 (71.146)
Epoch: [42][3860/5005] Time 0.205 (0.209) Data 0.058 (0.047) Loss 2.1565 (2.3993) Prec@1 52.344 (45.624) Prec@5 76.172 (71.146)
Epoch: [42][3870/5005] Time 0.207 (0.209) Data 0.053 (0.047) Loss 2.4147 (2.3994) Prec@1 40.234 (45.620) Prec@5 69.141 (71.143)
Epoch: [42][3880/5005] Time 0.214 (0.209) Data 0.043 (0.047) Loss 2.3048 (2.3994) Prec@1 51.562 (45.619) Prec@5 69.531 (71.142)
Epoch: [42][3890/5005] Time 0.204 (0.209) Data 0.044 (0.047) Loss 2.6490 (2.3994) Prec@1 44.922 (45.621) Prec@5 69.531 (71.141)
Epoch: [42][3900/5005] Time 0.201 (0.209) Data 0.047 (0.047) Loss 2.5446 (2.3993) Prec@1 44.922 (45.623) Prec@5 69.531 (71.142)
Epoch: [42][3910/5005] Time 0.211 (0.209) Data 0.047 (0.047) Loss 2.4078 (2.3992) Prec@1 44.531 (45.625) Prec@5 71.094 (71.145)
Epoch: [42][3920/5005] Time 0.204 (0.209) Data 0.039 (0.047) Loss 2.3829 (2.3992) Prec@1 46.094 (45.626) Prec@5 71.094 (71.144)
Epoch: [42][3930/5005] Time 0.218 (0.209) Data 0.041 (0.047) Loss 2.4237 (2.3990) Prec@1 45.312 (45.628) Prec@5 69.922 (71.147)
Epoch: [42][3940/5005] Time 0.204 (0.209) Data 0.051 (0.047) Loss 2.3832 (2.3990) Prec@1 46.484 (45.628) Prec@5 68.750 (71.146)
Epoch: [42][3950/5005] Time 0.201 (0.209) Data 0.067 (0.047) Loss 2.2558 (2.3988) Prec@1 50.781 (45.631) Prec@5 73.047 (71.151)
Epoch: [42][3960/5005] Time 0.211 (0.209) Data 0.044 (0.047) Loss 2.3993 (2.3988) Prec@1 43.359 (45.629) Prec@5 71.094 (71.151)
Epoch: [42][3970/5005] Time 0.203 (0.209) Data 0.044 (0.047) Loss 2.3356 (2.3988) Prec@1 53.516 (45.633) Prec@5 72.656 (71.152)
Epoch: [42][3980/5005] Time 0.208 (0.209) Data 0.051 (0.047) Loss 2.2435 (2.3988) Prec@1 44.922 (45.631) Prec@5 73.047 (71.152)
Epoch: [42][3990/5005] Time 0.211 (0.209) Data 0.046 (0.047) Loss 2.3819 (2.3988) Prec@1 45.312 (45.628) Prec@5 70.312 (71.153)
Epoch: [42][4000/5005] Time 0.202 (0.209) Data 0.041 (0.047) Loss 2.2710 (2.3988) Prec@1 47.266 (45.629) Prec@5 69.531 (71.153)
Epoch: [42][4010/5005] Time 0.208 (0.209) Data 0.042 (0.047) Loss 2.4009 (2.3986) Prec@1 42.578 (45.632) Prec@5 70.312 (71.158)
Epoch: [42][4020/5005] Time 0.211 (0.209) Data 0.042 (0.047) Loss 2.5291 (2.3986) Prec@1 41.797 (45.634) Prec@5 68.359 (71.156)
Epoch: [42][4030/5005] Time 0.214 (0.209) Data 0.042 (0.047) Loss 2.7026 (2.3989) Prec@1 41.797 (45.631) Prec@5 66.406 (71.150)
Epoch: [42][4040/5005] Time 0.208 (0.209) Data 0.043 (0.047) Loss 2.3967 (2.3990) Prec@1 45.703 (45.630) Prec@5 71.094 (71.148)
Epoch: [42][4050/5005] Time 0.210 (0.209) Data 0.044 (0.047) Loss 2.6686 (2.3990) Prec@1 40.625 (45.632) Prec@5 67.578 (71.150)
Epoch: [42][4060/5005] Time 0.208 (0.209) Data 0.040 (0.047) Loss 2.3870 (2.3991) Prec@1 44.141 (45.627) Prec@5 69.531 (71.148)
Epoch: [42][4070/5005] Time 0.209 (0.209) Data 0.042 (0.047) Loss 2.5353 (2.3991) Prec@1 45.703 (45.625) Prec@5 69.141 (71.149)
Epoch: [42][4080/5005] Time 0.210 (0.209) Data 0.041 (0.047) Loss 2.3031 (2.3990) Prec@1 47.656 (45.627) Prec@5 71.484 (71.148)
Epoch: [42][4090/5005] Time 0.203 (0.209) Data 0.041 (0.047) Loss 2.5173 (2.3990) Prec@1 45.703 (45.628) Prec@5 69.141 (71.147)
Epoch: [42][4100/5005] Time 0.196 (0.209) Data 0.042 (0.047) Loss 2.3370 (2.3990) Prec@1 46.875 (45.625) Prec@5 71.094 (71.148)
Epoch: [42][4110/5005] Time 0.203 (0.209) Data 0.040 (0.047) Loss 2.5488 (2.3990) Prec@1 43.359 (45.623) Prec@5 69.141 (71.149)
Epoch: [42][4120/5005] Time 0.208 (0.209) Data 0.040 (0.047) Loss 2.6049 (2.3989) Prec@1 42.969 (45.620) Prec@5 69.922 (71.150)
Epoch: [42][4130/5005] Time 0.211 (0.209) Data 0.042 (0.047) Loss 2.5724 (2.3988) Prec@1 39.453 (45.620) Prec@5 67.969 (71.151)
Epoch: [42][4140/5005] Time 0.218 (0.209) Data 0.043 (0.047) Loss 2.3985 (2.3988) Prec@1 46.484 (45.621) Prec@5 69.531 (71.151)
Epoch: [42][4150/5005] Time 0.205 (0.209) Data 0.041 (0.047) Loss 2.5497 (2.3988) Prec@1 42.578 (45.620) Prec@5 69.531 (71.152)
Epoch: [42][4160/5005] Time 0.207 (0.209) Data 0.043 (0.047) Loss 2.3010 (2.3990) Prec@1 44.922 (45.618) Prec@5 72.656 (71.151)
Epoch: [42][4170/5005] Time 0.215 (0.209) Data 0.044 (0.047) Loss 2.2755 (2.3988) Prec@1 46.484 (45.622) Prec@5 73.828 (71.154)
Epoch: [42][4180/5005] Time 0.202 (0.209) Data 0.047 (0.047) Loss 2.5453 (2.3988) Prec@1 40.234 (45.622) Prec@5 67.969 (71.151)
Epoch: [42][4190/5005] Time 0.214 (0.209) Data 0.042 (0.047) Loss 2.1988 (2.3987) Prec@1 50.781 (45.623) Prec@5 72.656 (71.149)
Epoch: [42][4200/5005] Time 0.199 (0.209) Data 0.047 (0.047) Loss 2.1961 (2.3987) Prec@1 48.828 (45.624) Prec@5 71.875 (71.150)
Epoch: [42][4210/5005] Time 0.209 (0.209) Data 0.062 (0.047) Loss 2.1941 (2.3986) Prec@1 49.609 (45.627) Prec@5 76.953 (71.151)
Epoch: [42][4220/5005] Time 0.209 (0.209) Data 0.046 (0.047) Loss 2.5037 (2.3987) Prec@1 42.969 (45.625) Prec@5 70.312 (71.147)
Epoch: [42][4230/5005] Time 0.209 (0.209) Data 0.046 (0.047) Loss 2.5224 (2.3988) Prec@1 42.969 (45.625) Prec@5 70.312 (71.147)
Epoch: [42][4240/5005] Time 0.208 (0.209) Data 0.051 (0.047) Loss 2.3302 (2.3989) Prec@1 44.141 (45.621) Prec@5 72.266 (71.145)
Epoch: [42][4250/5005] Time 0.200 (0.209) Data 0.045 (0.047) Loss 2.3661 (2.3987) Prec@1 46.484 (45.627) Prec@5 71.484 (71.148)
Epoch: [42][4260/5005] Time 0.202 (0.209) Data 0.044 (0.047) Loss 2.3337 (2.3987) Prec@1 47.266 (45.628) Prec@5 69.922 (71.148)
Epoch: [42][4270/5005] Time 0.208 (0.209) Data 0.045 (0.047) Loss 2.5335 (2.3988) Prec@1 44.531 (45.628) Prec@5 69.531 (71.145)
Epoch: [42][4280/5005] Time 0.201 (0.209) Data 0.042 (0.047) Loss 2.5705 (2.3988) Prec@1 43.359 (45.628) Prec@5 69.922 (71.145)
Epoch: [42][4290/5005] Time 0.200 (0.209) Data 0.044 (0.047) Loss 2.6488 (2.3988) Prec@1 42.578 (45.626) Prec@5 67.188 (71.145)
Epoch: [42][4300/5005] Time 0.199 (0.209) Data 0.054 (0.047) Loss 2.2002 (2.3987) Prec@1 48.828 (45.628) Prec@5 72.266 (71.148)
Epoch: [42][4310/5005] Time 0.197 (0.209) Data 0.042 (0.047) Loss 2.3126 (2.3987) Prec@1 48.047 (45.629) Prec@5 71.875 (71.147)
Epoch: [42][4320/5005] Time 0.207 (0.209) Data 0.046 (0.047) Loss 2.3025 (2.3988) Prec@1 45.312 (45.628) Prec@5 69.922 (71.144)
Epoch: [42][4330/5005] Time 0.197 (0.209) Data 0.046 (0.047) Loss 2.2277 (2.3987) Prec@1 48.438 (45.632) Prec@5 74.609 (71.145)
Epoch: [42][4340/5005] Time 0.200 (0.209) Data 0.055 (0.047) Loss 2.2958 (2.3987) Prec@1 43.750 (45.630) Prec@5 68.359 (71.142)
Epoch: [42][4350/5005] Time 0.216 (0.209) Data 0.048 (0.047) Loss 2.4008 (2.3987) Prec@1 46.875 (45.629) Prec@5 71.094 (71.144)
Epoch: [42][4360/5005] Time 0.216 (0.209) Data 0.058 (0.047) Loss 2.2750 (2.3985) Prec@1 45.703 (45.628) Prec@5 72.266 (71.147)
Epoch: [42][4370/5005] Time 0.207 (0.209) Data 0.043 (0.047) Loss 2.3473 (2.3985) Prec@1 46.484 (45.629) Prec@5 71.484 (71.147)
Epoch: [42][4380/5005] Time 0.204 (0.209) Data 0.043 (0.047) Loss 2.4394 (2.3986) Prec@1 44.141 (45.627) Prec@5 72.266 (71.148)
Epoch: [42][4390/5005] Time 0.200 (0.209) Data 0.056 (0.047) Loss 2.4860 (2.3984) Prec@1 44.141 (45.631) Prec@5 67.578 (71.151)
Epoch: [42][4400/5005] Time 0.203 (0.209) Data 0.049 (0.047) Loss 2.3264 (2.3984) Prec@1 46.094 (45.630) Prec@5 71.484 (71.150)
Epoch: [42][4410/5005] Time 0.207 (0.209) Data 0.052 (0.047) Loss 2.3165 (2.3983) Prec@1 47.266 (45.632) Prec@5 73.047 (71.152)
Epoch: [42][4420/5005] Time 0.202 (0.209) Data 0.043 (0.047) Loss 2.1029 (2.3983) Prec@1 52.734 (45.632) Prec@5 73.047 (71.150)
Epoch: [42][4430/5005] Time 0.210 (0.209) Data 0.049 (0.047) Loss 2.4437 (2.3981) Prec@1 46.875 (45.638) Prec@5 70.312 (71.152)
Epoch: [42][4440/5005] Time 0.215 (0.209) Data 0.042 (0.047) Loss 2.5229 (2.3981) Prec@1 42.188 (45.638) Prec@5 70.312 (71.152)
Epoch: [42][4450/5005] Time 0.205 (0.209) Data 0.039 (0.047) Loss 2.2734 (2.3981) Prec@1 49.219 (45.639) Prec@5 72.656 (71.154)
Epoch: [42][4460/5005] Time 0.214 (0.209) Data 0.043 (0.047) Loss 2.3687 (2.3979) Prec@1 47.266 (45.641) Prec@5 71.094 (71.158)
Epoch: [42][4470/5005] Time 0.206 (0.209) Data 0.047 (0.047) Loss 2.3740 (2.3979) Prec@1 46.875 (45.640) Prec@5 71.875 (71.157)
Epoch: [42][4480/5005] Time 0.210 (0.209) Data 0.051 (0.047) Loss 2.0862 (2.3981) Prec@1 50.000 (45.641) Prec@5 75.781 (71.156)
Epoch: [42][4490/5005] Time 0.207 (0.209) Data 0.041 (0.047) Loss 2.3840 (2.3982) Prec@1 46.875 (45.635) Prec@5 72.656 (71.153)
Epoch: [42][4500/5005] Time 0.209 (0.209) Data 0.044 (0.047) Loss 2.2480 (2.3981) Prec@1 48.047 (45.637) Prec@5 75.391 (71.154)
Epoch: [42][4510/5005] Time 0.197 (0.209) Data 0.046 (0.047) Loss 2.2495 (2.3981) Prec@1 48.047 (45.637) Prec@5 74.609 (71.154)
Epoch: [42][4520/5005] Time 0.199 (0.209) Data 0.044 (0.047) Loss 2.3748 (2.3979) Prec@1 45.312 (45.640) Prec@5 73.438 (71.160)
Epoch: [42][4530/5005] Time 0.207 (0.209) Data 0.045 (0.047) Loss 2.3550 (2.3979) Prec@1 48.047 (45.642) Prec@5 73.047 (71.159)
Epoch: [42][4540/5005] Time 0.209 (0.209) Data 0.045 (0.047) Loss 2.4979 (2.3980) Prec@1 42.969 (45.639) Prec@5 70.703 (71.157)
Epoch: [42][4550/5005] Time 0.208 (0.209) Data 0.041 (0.047) Loss 2.3813 (2.3979) Prec@1 45.312 (45.641) Prec@5 72.266 (71.158)
Epoch: [42][4560/5005] Time 0.200 (0.209) Data 0.041 (0.047) Loss 2.4359 (2.3979) Prec@1 47.266 (45.641) Prec@5 69.141 (71.160)
Epoch: [42][4570/5005] Time 0.207 (0.209) Data 0.047 (0.047) Loss 2.4720 (2.3978) Prec@1 46.875 (45.643) Prec@5 69.531 (71.161)
Epoch: [42][4580/5005] Time 0.200 (0.209) Data 0.041 (0.047) Loss 2.4779 (2.3977) Prec@1 41.016 (45.643) Prec@5 71.875 (71.165)
Epoch: [42][4590/5005] Time 0.207 (0.209) Data 0.041 (0.047) Loss 2.2452 (2.3977) Prec@1 49.609 (45.645) Prec@5 73.438 (71.164)
Epoch: [42][4600/5005] Time 0.202 (0.209) Data 0.042 (0.047) Loss 2.1814 (2.3978) Prec@1 47.266 (45.644) Prec@5 73.438 (71.161)
Epoch: [42][4610/5005] Time 0.207 (0.209) Data 0.043 (0.047) Loss 2.2017 (2.3978) Prec@1 48.047 (45.646) Prec@5 74.609 (71.159)
Epoch: [42][4620/5005] Time 0.210 (0.209) Data 0.042 (0.047) Loss 2.2403 (2.3977) Prec@1 49.219 (45.648) Prec@5 74.609 (71.159)
Epoch: [42][4630/5005] Time 0.205 (0.209) Data 0.040 (0.047) Loss 2.1448 (2.3976) Prec@1 49.609 (45.648) Prec@5 73.828 (71.160)
Epoch: [42][4640/5005] Time 0.212 (0.209) Data 0.043 (0.047) Loss 2.3770 (2.3975) Prec@1 46.875 (45.650) Prec@5 73.047 (71.162)
Epoch: [42][4650/5005] Time 0.205 (0.209) Data 0.043 (0.047) Loss 2.4267 (2.3975) Prec@1 47.656 (45.653) Prec@5 71.875 (71.162)
Epoch: [42][4660/5005] Time 0.210 (0.209) Data 0.044 (0.047) Loss 2.6499 (2.3976) Prec@1 41.797 (45.653) Prec@5 67.188 (71.161)
Epoch: [42][4670/5005] Time 0.213 (0.209) Data 0.043 (0.047) Loss 2.3429 (2.3975) Prec@1 44.922 (45.655) Prec@5 69.922 (71.162)
Epoch: [42][4680/5005] Time 0.207 (0.209) Data 0.043 (0.047) Loss 2.2494 (2.3974) Prec@1 47.656 (45.657) Prec@5 76.172 (71.166)
Epoch: [42][4690/5005] Time 0.208 (0.209) Data 0.043 (0.047) Loss 2.4536 (2.3974) Prec@1 43.359 (45.655) Prec@5 70.703 (71.166)
Epoch: [42][4700/5005] Time 0.208 (0.209) Data 0.042 (0.047) Loss 2.2247 (2.3973) Prec@1 49.219 (45.659) Prec@5 75.781 (71.168)
Epoch: [42][4710/5005] Time 0.211 (0.209) Data 0.043 (0.047) Loss 2.2316 (2.3971) Prec@1 46.875 (45.662) Prec@5 72.656 (71.170)
Epoch: [42][4720/5005] Time 0.204 (0.209) Data 0.042 (0.047) Loss 2.2336 (2.3971) Prec@1 50.000 (45.662) Prec@5 74.219 (71.170)
Epoch: [42][4730/5005] Time 0.206 (0.209) Data 0.042 (0.047) Loss 2.3941 (2.3972) Prec@1 45.703 (45.659) Prec@5 70.703 (71.169)
Epoch: [42][4740/5005] Time 0.214 (0.209) Data 0.043 (0.047) Loss 2.2869 (2.3972) Prec@1 45.703 (45.661) Prec@5 72.266 (71.169)
Epoch: [42][4750/5005] Time 0.208 (0.209) Data 0.041 (0.047) Loss 2.4198 (2.3971) Prec@1 46.094 (45.665) Prec@5 68.750 (71.169)
Epoch: [42][4760/5005] Time 0.210 (0.209) Data 0.044 (0.047) Loss 2.5890 (2.3970) Prec@1 43.359 (45.666) Prec@5 68.750 (71.170)
Epoch: [42][4770/5005] Time 0.208 (0.209) Data 0.042 (0.047) Loss 2.3517 (2.3970) Prec@1 48.047 (45.665) Prec@5 72.656 (71.171)
Epoch: [42][4780/5005] Time 0.207 (0.209) Data 0.041 (0.047) Loss 2.4463 (2.3971) Prec@1 46.484 (45.665) Prec@5 72.656 (71.171)
Epoch: [42][4790/5005] Time 0.209 (0.209) Data 0.041 (0.047) Loss 2.7874 (2.3972) Prec@1 40.625 (45.666) Prec@5 66.016 (71.170)
Epoch: [42][4800/5005] Time 0.212 (0.209) Data 0.042 (0.047) Loss 2.4282 (2.3970) Prec@1 43.750 (45.664) Prec@5 70.703 (71.173)
Epoch: [42][4810/5005] Time 0.211 (0.209) Data 0.044 (0.047) Loss 2.6375 (2.3970) Prec@1 42.188 (45.663) Prec@5 66.016 (71.173)
Epoch: [42][4820/5005] Time 0.207 (0.209) Data 0.045 (0.047) Loss 2.4996 (2.3969) Prec@1 43.750 (45.665) Prec@5 69.922 (71.174)
Epoch: [42][4830/5005] Time 0.202 (0.209) Data 0.045 (0.047) Loss 2.3693 (2.3967) Prec@1 42.969 (45.666) Prec@5 71.484 (71.177)
Epoch: [42][4840/5005] Time 0.202 (0.209) Data 0.050 (0.047) Loss 2.1671 (2.3967) Prec@1 51.953 (45.664) Prec@5 73.828 (71.176)
Epoch: [42][4850/5005] Time 0.205 (0.209) Data 0.047 (0.047) Loss 2.4574 (2.3969) Prec@1 43.359 (45.662) Prec@5 69.531 (71.173)
Epoch: [42][4860/5005] Time 0.211 (0.209) Data 0.040 (0.047) Loss 2.2674 (2.3968) Prec@1 49.219 (45.665) Prec@5 71.875 (71.175)
Epoch: [42][4870/5005] Time 0.207 (0.209) Data 0.046 (0.047) Loss 2.2847 (2.3968) Prec@1 51.953 (45.665) Prec@5 72.656 (71.173)
Epoch: [42][4880/5005] Time 0.200 (0.209) Data 0.047 (0.047) Loss 2.2785 (2.3966) Prec@1 47.266 (45.670) Prec@5 71.875 (71.176)
Epoch: [42][4890/5005] Time 0.201 (0.209) Data 0.048 (0.047) Loss 2.4406 (2.3966) Prec@1 47.266 (45.672) Prec@5 72.656 (71.178)
Epoch: [42][4900/5005] Time 0.202 (0.209) Data 0.051 (0.047) Loss 2.2905 (2.3964) Prec@1 45.703 (45.673) Prec@5 74.219 (71.179)
Epoch: [42][4910/5005] Time 0.195 (0.209) Data 0.052 (0.047) Loss 2.4747 (2.3962) Prec@1 44.141 (45.676) Prec@5 71.875 (71.183)
Epoch: [42][4920/5005] Time 0.209 (0.209) Data 0.060 (0.047) Loss 2.3608 (2.3961) Prec@1 42.188 (45.679) Prec@5 71.875 (71.183)
Epoch: [42][4930/5005] Time 0.209 (0.209) Data 0.047 (0.047) Loss 2.5661 (2.3960) Prec@1 41.016 (45.679) Prec@5 66.406 (71.187)
Epoch: [42][4940/5005] Time 0.213 (0.209) Data 0.042 (0.047) Loss 2.4559 (2.3961) Prec@1 46.875 (45.681) Prec@5 67.578 (71.186)
Epoch: [42][4950/5005] Time 0.209 (0.209) Data 0.042 (0.047) Loss 2.2839 (2.3961) Prec@1 45.703 (45.682) Prec@5 71.484 (71.185)
Epoch: [42][4960/5005] Time 0.202 (0.209) Data 0.043 (0.047) Loss 2.6350 (2.3961) Prec@1 44.141 (45.684) Prec@5 67.969 (71.185)
Epoch: [42][4970/5005] Time 0.204 (0.209) Data 0.042 (0.047) Loss 2.4578 (2.3960) Prec@1 43.750 (45.685) Prec@5 74.219 (71.186)
Epoch: [42][4980/5005] Time 0.198 (0.209) Data 0.057 (0.047) Loss 2.4798 (2.3959) Prec@1 44.141 (45.688) Prec@5 68.750 (71.189)
Epoch: [42][4990/5005] Time 0.205 (0.209) Data 0.021 (0.047) Loss 2.5532 (2.3958) Prec@1 42.188 (45.689) Prec@5 64.844 (71.189)
Epoch: [42][5000/5005] Time 0.208 (0.209) Data 0.021 (0.047) Loss 2.4570 (2.3959) Prec@1 44.141 (45.689) Prec@5 69.922 (71.188)
Test: [0/196] Time 1.868 (1.868) Loss 2.4499 (2.4499) Prec@1 48.438 (48.438) Prec@5 72.266 (72.266)
Test: [10/196] Time 0.302 (0.312) Loss 2.5268 (2.5824) Prec@1 46.484 (43.714) Prec@5 68.750 (68.572)
Test: [20/196] Time 0.042 (0.221) Loss 2.4239 (2.5887) Prec@1 48.438 (42.727) Prec@5 73.828 (68.731)
Test: [30/196] Time 0.042 (0.215) Loss 2.4586 (2.5991) Prec@1 42.578 (42.616) Prec@5 69.531 (68.574)
Test: [40/196] Time 0.046 (0.219) Loss 2.3743 (2.5986) Prec@1 48.828 (42.988) Prec@5 73.438 (68.493)
Test: [50/196] Time 0.043 (0.206) Loss 2.6208 (2.6025) Prec@1 45.703 (42.823) Prec@5 71.875 (68.673)
Test: [60/196] Time 0.044 (0.195) Loss 2.4877 (2.5882) Prec@1 46.094 (43.148) Prec@5 68.750 (68.884)
Test: [70/196] Time 0.175 (0.191) Loss 2.5743 (2.5811) Prec@1 44.922 (43.277) Prec@5 68.359 (68.943)
Test: [80/196] Time 0.605 (0.195) Loss 2.4451 (2.5882) Prec@1 51.172 (43.292) Prec@5 74.219 (68.832)
Test: [90/196] Time 0.042 (0.189) Loss 2.6459 (2.5901) Prec@1 45.703 (43.359) Prec@5 67.578 (68.814)
Test: [100/196] Time 0.042 (0.186) Loss 2.6151 (2.5875) Prec@1 46.484 (43.506) Prec@5 68.359 (68.843)
Test: [110/196] Time 0.118 (0.186) Loss 2.7764 (2.5893) Prec@1 41.406 (43.465) Prec@5 64.062 (68.849)
Test: [120/196] Time 0.210 (0.185) Loss 2.4049 (2.5877) Prec@1 43.359 (43.540) Prec@5 73.438 (68.899)
Test: [130/196] Time 0.043 (0.183) Loss 2.2621 (2.5852) Prec@1 48.047 (43.568) Prec@5 74.609 (68.884)
Test: [140/196] Time 0.665 (0.186) Loss 2.4052 (2.5872) Prec@1 49.219 (43.534) Prec@5 71.094 (68.800)
Test: [150/196] Time 0.152 (0.181) Loss 2.2576 (2.5847) Prec@1 50.000 (43.572) Prec@5 75.781 (68.861)
Test: [160/196] Time 0.044 (0.182) Loss 2.5184 (2.5827) Prec@1 49.609 (43.619) Prec@5 69.922 (68.869)
Test: [170/196] Time 0.585 (0.182) Loss 2.4906 (2.5855) Prec@1 44.922 (43.581) Prec@5 73.438 (68.821)
Test: [180/196] Time 0.088 (0.182) Loss 2.7793 (2.5903) Prec@1 40.234 (43.502) Prec@5 64.062 (68.692)
Test: [190/196] Time 0.043 (0.181) Loss 2.7885 (2.5935) Prec@1 39.453 (43.427) Prec@5 64.062 (68.619)
* Prec@1 43.400 Prec@5 68.616
Learning rate: 0.0001
Epoch: [43][0/5005] Time 1.021 (1.021) Data 0.890 (0.890) Loss 2.2384 (2.2384) Prec@1 47.656 (47.656) Prec@5 69.922 (69.922)
Epoch: [43][10/5005] Time 0.198 (0.277) Data 0.040 (0.122) Loss 2.3143 (2.4290) Prec@1 46.094 (44.602) Prec@5 69.531 (69.780)
Epoch: [43][20/5005] Time 0.204 (0.242) Data 0.042 (0.085) Loss 2.5392 (2.4071) Prec@1 41.797 (44.903) Prec@5 68.750 (70.722)
Epoch: [43][30/5005] Time 0.200 (0.229) Data 0.056 (0.073) Loss 2.1905 (2.3700) Prec@1 50.391 (45.439) Prec@5 75.391 (71.673)
Epoch: [43][40/5005] Time 0.197 (0.223) Data 0.057 (0.066) Loss 2.2724 (2.3699) Prec@1 46.875 (45.484) Prec@5 68.750 (71.665)
Epoch: [43][50/5005] Time 0.203 (0.219) Data 0.040 (0.062) Loss 2.2027 (2.3780) Prec@1 50.781 (45.328) Prec@5 75.781 (71.530)
Epoch: [43][60/5005] Time 0.205 (0.216) Data 0.043 (0.059) Loss 2.3272 (2.3789) Prec@1 46.484 (45.415) Prec@5 73.828 (71.516)
Epoch: [43][70/5005] Time 0.199 (0.214) Data 0.047 (0.057) Loss 2.4132 (2.3926) Prec@1 46.875 (45.219) Prec@5 67.578 (71.253)
Epoch: [43][80/5005] Time 0.203 (0.213) Data 0.041 (0.056) Loss 2.1767 (2.3837) Prec@1 48.828 (45.341) Prec@5 73.438 (71.489)
Epoch: [43][90/5005] Time 0.204 (0.211) Data 0.041 (0.055) Loss 2.3519 (2.3859) Prec@1 48.047 (45.381) Prec@5 74.609 (71.540)
Epoch: [43][100/5005] Time 0.209 (0.210) Data 0.046 (0.054) Loss 2.2387 (2.3876) Prec@1 49.609 (45.363) Prec@5 73.438 (71.539)
Epoch: [43][110/5005] Time 0.217 (0.209) Data 0.041 (0.053) Loss 2.3924 (2.3900) Prec@1 47.266 (45.524) Prec@5 69.922 (71.491)
Epoch: [43][120/5005] Time 0.201 (0.208) Data 0.038 (0.053) Loss 2.5018 (2.3954) Prec@1 41.797 (45.522) Prec@5 68.359 (71.320)
Epoch: [43][130/5005] Time 0.195 (0.208) Data 0.057 (0.052) Loss 2.6390 (2.3960) Prec@1 44.922 (45.590) Prec@5 66.797 (71.299)
Epoch: [43][140/5005] Time 0.208 (0.207) Data 0.045 (0.052) Loss 2.5129 (2.3964) Prec@1 44.922 (45.614) Prec@5 70.312 (71.279)
Epoch: [43][150/5005] Time 0.206 (0.207) Data 0.044 (0.052) Loss 2.5668 (2.3988) Prec@1 43.750 (45.553) Prec@5 66.016 (71.267)
Epoch: [43][160/5005] Time 0.200 (0.206) Data 0.044 (0.052) Loss 2.4092 (2.4013) Prec@1 45.312 (45.507) Prec@5 72.656 (71.201)
Epoch: [43][170/5005] Time 0.197 (0.207) Data 0.049 (0.051) Loss 2.5310 (2.4031) Prec@1 45.703 (45.454) Prec@5 67.188 (71.155)
Epoch: [43][180/5005] Time 0.224 (0.207) Data 0.046 (0.051) Loss 2.6509 (2.4052) Prec@1 44.531 (45.425) Prec@5 67.188 (71.092)
Epoch: [43][190/5005] Time 0.223 (0.208) Data 0.043 (0.051) Loss 2.5421 (2.4098) Prec@1 45.703 (45.321) Prec@5 70.703 (71.002)
Epoch: [43][200/5005] Time 0.221 (0.209) Data 0.045 (0.050) Loss 2.6324 (2.4111) Prec@1 37.891 (45.318) Prec@5 67.969 (70.987)
Epoch: [43][210/5005] Time 0.220 (0.209) Data 0.051 (0.050) Loss 2.2741 (2.4102) Prec@1 44.531 (45.342) Prec@5 73.438 (70.988)
Epoch: [43][220/5005] Time 0.220 (0.210) Data 0.046 (0.050) Loss 2.3449 (2.4088) Prec@1 44.531 (45.348) Prec@5 73.828 (71.027)
Epoch: [43][230/5005] Time 0.215 (0.210) Data 0.051 (0.050) Loss 2.4917 (2.4069) Prec@1 44.531 (45.429) Prec@5 66.016 (71.050)
Epoch: [43][240/5005] Time 0.217 (0.210) Data 0.045 (0.050) Loss 2.2819 (2.4056) Prec@1 49.219 (45.439) Prec@5 72.266 (71.091)
Epoch: [43][250/5005] Time 0.212 (0.211) Data 0.044 (0.050) Loss 2.4619 (2.4039) Prec@1 44.141 (45.467) Prec@5 67.188 (71.084)
Epoch: [43][260/5005] Time 0.207 (0.211) Data 0.042 (0.050) Loss 2.1996 (2.4033) Prec@1 46.484 (45.503) Prec@5 75.000 (71.136)
Epoch: [43][270/5005] Time 0.207 (0.211) Data 0.052 (0.049) Loss 2.2966 (2.4031) Prec@1 52.344 (45.522) Prec@5 73.438 (71.130)
Epoch: [43][280/5005] Time 0.227 (0.211) Data 0.047 (0.049) Loss 2.6290 (2.4053) Prec@1 43.359 (45.482) Prec@5 65.234 (71.077)
Epoch: [43][290/5005] Time 0.211 (0.211) Data 0.046 (0.049) Loss 2.2731 (2.4069) Prec@1 50.391 (45.447) Prec@5 72.656 (70.985)
Epoch: [43][300/5005] Time 0.211 (0.211) Data 0.042 (0.049) Loss 2.2197 (2.4058) Prec@1 49.219 (45.476) Prec@5 73.438 (71.013)
Epoch: [43][310/5005] Time 0.215 (0.211) Data 0.042 (0.049) Loss 2.2489 (2.4042) Prec@1 49.609 (45.502) Prec@5 74.609 (71.031)
Epoch: [43][320/5005] Time 0.214 (0.211) Data 0.042 (0.049) Loss 2.6283 (2.4041) Prec@1 37.109 (45.487) Prec@5 68.359 (71.028)
Epoch: [43][330/5005] Time 0.213 (0.211) Data 0.043 (0.048) Loss 2.1829 (2.4029) Prec@1 50.391 (45.519) Prec@5 73.438 (71.060)
Epoch: [43][340/5005] Time 0.210 (0.211) Data 0.048 (0.048) Loss 2.4932 (2.4068) Prec@1 44.531 (45.461) Prec@5 70.703 (70.999)
Epoch: [43][350/5005] Time 0.212 (0.211) Data 0.040 (0.048) Loss 2.6044 (2.4059) Prec@1 44.141 (45.477) Prec@5 68.750 (71.019)
Epoch: [43][360/5005] Time 0.214 (0.211) Data 0.051 (0.048) Loss 2.4983 (2.4057) Prec@1 45.312 (45.495) Prec@5 69.531 (71.005)
Epoch: [43][370/5005] Time 0.208 (0.211) Data 0.065 (0.048) Loss 2.3411 (2.4032) Prec@1 44.141 (45.528) Prec@5 70.703 (71.050)
Epoch: [43][380/5005] Time 0.214 (0.211) Data 0.042 (0.048) Loss 2.5987 (2.4043) Prec@1 44.531 (45.513) Prec@5 68.359 (71.021)
Epoch: [43][390/5005] Time 0.195 (0.211) Data 0.044 (0.048) Loss 2.3902 (2.4040) Prec@1 48.047 (45.530) Prec@5 72.656 (71.018)
Epoch: [43][400/5005] Time 0.208 (0.211) Data 0.050 (0.048) Loss 2.2618 (2.4028) Prec@1 46.484 (45.563) Prec@5 72.656 (71.039)
Epoch: [43][410/5005] Time 0.221 (0.211) Data 0.048 (0.048) Loss 2.3842 (2.4029) Prec@1 42.969 (45.578) Prec@5 72.266 (71.050)
Epoch: [43][420/5005] Time 0.198 (0.211) Data 0.055 (0.048) Loss 2.2067 (2.4019) Prec@1 50.000 (45.593) Prec@5 75.781 (71.081)
Epoch: [43][430/5005] Time 0.199 (0.211) Data 0.043 (0.048) Loss 2.3988 (2.4025) Prec@1 44.141 (45.554) Prec@5 72.656 (71.071)
Epoch: [43][440/5005] Time 0.204 (0.211) Data 0.050 (0.048) Loss 2.3013 (2.4021) Prec@1 48.828 (45.557) Prec@5 71.484 (71.074)
Epoch: [43][450/5005] Time 0.211 (0.211) Data 0.043 (0.048) Loss 2.2156 (2.4032) Prec@1 46.094 (45.556) Prec@5 75.000 (71.063)
Epoch: [43][460/5005] Time 0.202 (0.211) Data 0.043 (0.048) Loss 2.4061 (2.4034) Prec@1 50.781 (45.564) Prec@5 69.531 (71.052)
Epoch: [43][470/5005] Time 0.211 (0.211) Data 0.061 (0.048) Loss 2.4062 (2.4043) Prec@1 44.922 (45.565) Prec@5 70.703 (71.017)
Epoch: [43][480/5005] Time 0.215 (0.211) Data 0.044 (0.048) Loss 2.4346 (2.4046) Prec@1 45.703 (45.568) Prec@5 69.141 (71.013)
Epoch: [43][490/5005] Time 0.215 (0.211) Data 0.045 (0.048) Loss 2.3603 (2.4052) Prec@1 49.219 (45.550) Prec@5 71.484 (70.992)
Epoch: [43][500/5005] Time 0.205 (0.211) Data 0.043 (0.048) Loss 2.4821 (2.4073) Prec@1 46.484 (45.536) Prec@5 69.141 (70.960)
Epoch: [43][510/5005] Time 0.209 (0.211) Data 0.042 (0.048) Loss 2.8140 (2.4076) Prec@1 41.016 (45.530) Prec@5 63.672 (70.958)
Epoch: [43][520/5005] Time 0.208 (0.211) Data 0.040 (0.048) Loss 2.3869 (2.4073) Prec@1 44.141 (45.517) Prec@5 70.312 (70.981)
Epoch: [43][530/5005] Time 0.209 (0.211) Data 0.039 (0.048) Loss 2.5188 (2.4065) Prec@1 44.922 (45.526) Prec@5 66.797 (70.977)
Epoch: [43][540/5005] Time 0.211 (0.211) Data 0.042 (0.047) Loss 2.4564 (2.4070) Prec@1 45.312 (45.507) Prec@5 68.750 (70.967)
Epoch: [43][550/5005] Time 0.216 (0.211) Data 0.040 (0.047) Loss 2.4692 (2.4061) Prec@1 46.094 (45.534) Prec@5 74.609 (70.999)
Epoch: [43][560/5005] Time 0.215 (0.211) Data 0.046 (0.047) Loss 2.5351 (2.4064) Prec@1 44.531 (45.532) Prec@5 70.312 (71.000)
Epoch: [43][570/5005] Time 0.216 (0.211) Data 0.040 (0.047) Loss 2.5133 (2.4072) Prec@1 44.922 (45.512) Prec@5 69.141 (70.993)
Epoch: [43][580/5005] Time 0.210 (0.211) Data 0.043 (0.047) Loss 2.3832 (2.4062) Prec@1 44.141 (45.528) Prec@5 73.438 (71.029)
Epoch: [43][590/5005] Time 0.210 (0.211) Data 0.040 (0.047) Loss 2.5297 (2.4058) Prec@1 40.234 (45.531) Prec@5 69.922 (71.030)
Epoch: [43][600/5005] Time 0.207 (0.211) Data 0.044 (0.047) Loss 2.3227 (2.4061) Prec@1 48.438 (45.518) Prec@5 73.438 (71.045)
Epoch: [43][610/5005] Time 0.220 (0.211) Data 0.048 (0.047) Loss 2.3519 (2.4061) Prec@1 45.312 (45.513) Prec@5 71.094 (71.045)
Epoch: [43][620/5005] Time 0.212 (0.211) Data 0.036 (0.047) Loss 2.5203 (2.4062) Prec@1 46.875 (45.528) Prec@5 71.094 (71.055)
Epoch: [43][630/5005] Time 0.211 (0.211) Data 0.053 (0.047) Loss 2.7239 (2.4067) Prec@1 41.016 (45.522) Prec@5 68.359 (71.057)
Epoch: [43][640/5005] Time 0.206 (0.211) Data 0.049 (0.047) Loss 2.3045 (2.4070) Prec@1 43.359 (45.508) Prec@5 72.266 (71.035)
Epoch: [43][650/5005] Time 0.221 (0.211) Data 0.042 (0.047) Loss 2.6059 (2.4082) Prec@1 40.234 (45.513) Prec@5 67.578 (71.008)
Epoch: [43][660/5005] Time 0.214 (0.211) Data 0.045 (0.047) Loss 2.5409 (2.4073) Prec@1 39.062 (45.528) Prec@5 73.047 (71.039)
Epoch: [43][670/5005] Time 0.196 (0.211) Data 0.042 (0.047) Loss 2.4795 (2.4071) Prec@1 43.750 (45.527) Prec@5 69.141 (71.019)
Epoch: [43][680/5005] Time 0.207 (0.211) Data 0.054 (0.047) Loss 2.3273 (2.4070) Prec@1 46.484 (45.520) Prec@5 73.438 (71.033)
Epoch: [43][690/5005] Time 0.211 (0.211) Data 0.042 (0.047) Loss 2.1936 (2.4062) Prec@1 52.734 (45.539) Prec@5 75.391 (71.046)
Epoch: [43][700/5005] Time 0.207 (0.211) Data 0.042 (0.047) Loss 2.4315 (2.4057) Prec@1 42.578 (45.548) Prec@5 70.703 (71.056)
Epoch: [43][710/5005] Time 0.221 (0.211) Data 0.047 (0.047) Loss 2.3361 (2.4054) Prec@1 44.141 (45.540) Prec@5 70.703 (71.058)
Epoch: [43][720/5005] Time 0.211 (0.211) Data 0.048 (0.047) Loss 2.2295 (2.4047) Prec@1 46.484 (45.555) Prec@5 75.781 (71.070)
Epoch: [43][730/5005] Time 0.203 (0.211) Data 0.050 (0.047) Loss 2.5088 (2.4053) Prec@1 47.266 (45.556) Prec@5 69.922 (71.050)
Epoch: [43][740/5005] Time 0.205 (0.211) Data 0.050 (0.047) Loss 2.6205 (2.4056) Prec@1 41.406 (45.542) Prec@5 66.016 (71.047)
Epoch: [43][750/5005] Time 0.216 (0.211) Data 0.042 (0.047) Loss 2.2108 (2.4055) Prec@1 48.438 (45.536) Prec@5 73.047 (71.040)
Epoch: [43][760/5005] Time 0.206 (0.211) Data 0.041 (0.047) Loss 2.3614 (2.4060) Prec@1 45.703 (45.528) Prec@5 73.047 (71.034)
Epoch: [43][770/5005] Time 0.201 (0.211) Data 0.061 (0.047) Loss 2.2995 (2.4046) Prec@1 45.312 (45.561) Prec@5 72.266 (71.051)
Epoch: [43][780/5005] Time 0.213 (0.211) Data 0.042 (0.047) Loss 2.3246 (2.4044) Prec@1 46.875 (45.567) Prec@5 70.703 (71.047)
Epoch: [43][790/5005] Time 0.199 (0.211) Data 0.046 (0.047) Loss 2.3382 (2.4045) Prec@1 46.094 (45.565) Prec@5 74.609 (71.058)
Epoch: [43][800/5005] Time 0.209 (0.211) Data 0.043 (0.047) Loss 2.2493 (2.4035) Prec@1 46.484 (45.589) Prec@5 74.609 (71.073)
Epoch: [43][810/5005] Time 0.216 (0.211) Data 0.041 (0.047) Loss 2.3741 (2.4037) Prec@1 45.312 (45.581) Prec@5 70.312 (71.082)
Epoch: [43][820/5005] Time 0.213 (0.211) Data 0.042 (0.047) Loss 2.5770 (2.4043) Prec@1 46.094 (45.586) Prec@5 66.797 (71.077)
Epoch: [43][830/5005] Time 0.209 (0.211) Data 0.046 (0.047) Loss 2.2904 (2.4043) Prec@1 48.438 (45.590) Prec@5 76.953 (71.074)
Epoch: [43][840/5005] Time 0.217 (0.211) Data 0.041 (0.047) Loss 2.2260 (2.4040) Prec@1 46.484 (45.589) Prec@5 73.438 (71.072)
Epoch: [43][850/5005] Time 0.215 (0.211) Data 0.042 (0.047) Loss 2.6044 (2.4037) Prec@1 40.234 (45.576) Prec@5 69.531 (71.074)
Epoch: [43][860/5005] Time 0.218 (0.211) Data 0.046 (0.047) Loss 2.4879 (2.4041) Prec@1 44.531 (45.569) Prec@5 69.141 (71.064)
Epoch: [43][870/5005] Time 0.214 (0.211) Data 0.042 (0.047) Loss 2.3622 (2.4028) Prec@1 44.922 (45.596) Prec@5 69.922 (71.081)
Epoch: [43][880/5005] Time 0.215 (0.211) Data 0.044 (0.047) Loss 2.3672 (2.4034) Prec@1 45.312 (45.591) Prec@5 71.094 (71.078)
Epoch: [43][890/5005] Time 0.212 (0.211) Data 0.039 (0.047) Loss 2.5837 (2.4031) Prec@1 43.750 (45.587) Prec@5 66.406 (71.068)
Epoch: [43][900/5005] Time 0.212 (0.211) Data 0.046 (0.047) Loss 2.3893 (2.4026) Prec@1 41.016 (45.583) Prec@5 70.312 (71.075)
Epoch: [43][910/5005] Time 0.211 (0.211) Data 0.042 (0.047) Loss 2.2694 (2.4020) Prec@1 44.531 (45.593) Prec@5 73.047 (71.085)
Epoch: [43][920/5005] Time 0.205 (0.211) Data 0.040 (0.047) Loss 2.3559 (2.4010) Prec@1 44.531 (45.610) Prec@5 73.438 (71.109)
Epoch: [43][930/5005] Time 0.214 (0.211) Data 0.043 (0.047) Loss 2.4877 (2.4010) Prec@1 45.703 (45.619) Prec@5 66.406 (71.108)
Epoch: [43][940/5005] Time 0.210 (0.211) Data 0.042 (0.047) Loss 2.2490 (2.4012) Prec@1 46.875 (45.618) Prec@5 72.656 (71.104)
Epoch: [43][950/5005] Time 0.206 (0.211) Data 0.050 (0.047) Loss 2.4748 (2.4021) Prec@1 45.703 (45.613) Prec@5 67.969 (71.086)
Epoch: [43][960/5005] Time 0.203 (0.211) Data 0.041 (0.047) Loss 2.5260 (2.4019) Prec@1 44.531 (45.614) Prec@5 68.359 (71.085)
Epoch: [43][970/5005] Time 0.215 (0.211) Data 0.042 (0.047) Loss 2.1955 (2.4018) Prec@1 48.828 (45.612) Prec@5 76.562 (71.086)
Epoch: [43][980/5005] Time 0.215 (0.211) Data 0.045 (0.047) Loss 2.2829 (2.4012) Prec@1 46.094 (45.618) Prec@5 70.312 (71.087)
Epoch: [43][990/5005] Time 0.213 (0.211) Data 0.043 (0.046) Loss 2.4477 (2.4019) Prec@1 42.969 (45.591) Prec@5 70.312 (71.081)
Epoch: [43][1000/5005] Time 0.206 (0.211) Data 0.041 (0.046) Loss 2.4568 (2.4016) Prec@1 45.312 (45.591) Prec@5 73.047 (71.080)
Epoch: [43][1010/5005] Time 0.212 (0.211) Data 0.043 (0.046) Loss 2.4001 (2.4011) Prec@1 44.531 (45.589) Prec@5 71.094 (71.091)
Epoch: [43][1020/5005] Time 1.543 (0.212) Data 0.049 (0.046) Loss 2.1611 (2.4015) Prec@1 50.781 (45.594) Prec@5 75.391 (71.083)
Epoch: [43][1030/5005] Time 0.194 (0.212) Data 0.044 (0.046) Loss 2.3337 (2.4011) Prec@1 46.094 (45.610) Prec@5 69.141 (71.093)
Epoch: [43][1040/5005] Time 0.210 (0.212) Data 0.042 (0.046) Loss 2.4792 (2.4012) Prec@1 45.703 (45.608) Prec@5 70.312 (71.092)
Epoch: [43][1050/5005] Time 0.211 (0.212) Data 0.041 (0.046) Loss 2.5208 (2.4019) Prec@1 42.969 (45.583) Prec@5 66.797 (71.082)
Epoch: [43][1060/5005] Time 0.215 (0.212) Data 0.043 (0.046) Loss 2.4089 (2.4022) Prec@1 45.312 (45.594) Prec@5 71.484 (71.085)
Epoch: [43][1070/5005] Time 0.210 (0.212) Data 0.043 (0.046) Loss 2.4193 (2.4026) Prec@1 44.141 (45.578) Prec@5 71.484 (71.072)
Epoch: [43][1080/5005] Time 0.207 (0.212) Data 0.044 (0.046) Loss 2.4725 (2.4033) Prec@1 46.094 (45.571) Prec@5 68.750 (71.062)
Epoch: [43][1090/5005] Time 0.211 (0.212) Data 0.040 (0.046) Loss 2.3468 (2.4025) Prec@1 46.875 (45.579) Prec@5 72.656 (71.085)
Epoch: [43][1100/5005] Time 0.218 (0.212) Data 0.042 (0.046) Loss 2.3092 (2.4020) Prec@1 48.047 (45.581) Prec@5 73.438 (71.092)
Epoch: [43][1110/5005] Time 0.205 (0.212) Data 0.057 (0.046) Loss 2.3745 (2.4017) Prec@1 47.656 (45.584) Prec@5 70.703 (71.097)
Epoch: [43][1120/5005] Time 0.212 (0.212) Data 0.044 (0.046) Loss 2.2885 (2.4010) Prec@1 44.531 (45.590) Prec@5 71.484 (71.105)
Epoch: [43][1130/5005] Time 0.211 (0.212) Data 0.044 (0.046) Loss 2.4655 (2.4013) Prec@1 42.188 (45.581) Prec@5 73.047 (71.106)
Epoch: [43][1140/5005] Time 0.213 (0.212) Data 0.041 (0.046) Loss 2.3626 (2.4010) Prec@1 46.094 (45.592) Prec@5 74.609 (71.114)
Epoch: [43][1150/5005] Time 0.205 (0.212) Data 0.041 (0.046) Loss 2.3360 (2.4007) Prec@1 45.703 (45.601) Prec@5 70.312 (71.112)
Epoch: [43][1160/5005] Time 0.199 (0.212) Data 0.043 (0.046) Loss 2.4549 (2.4009) Prec@1 45.312 (45.601) Prec@5 70.703 (71.110)
Epoch: [43][1170/5005] Time 0.211 (0.212) Data 0.043 (0.046) Loss 2.4647 (2.4010) Prec@1 45.312 (45.591) Prec@5 70.312 (71.109)
Epoch: [43][1180/5005] Time 0.195 (0.212) Data 0.048 (0.046) Loss 2.4756 (2.4012) Prec@1 42.969 (45.581) Prec@5 70.703 (71.102)
Epoch: [43][1190/5005] Time 0.220 (0.212) Data 0.046 (0.046) Loss 2.2856 (2.4006) Prec@1 48.047 (45.588) Prec@5 70.703 (71.106)
Epoch: [43][1200/5005] Time 0.203 (0.212) Data 0.052 (0.046) Loss 2.6121 (2.4011) Prec@1 40.234 (45.580) Prec@5 68.359 (71.096)
Epoch: [43][1210/5005] Time 0.206 (0.212) Data 0.050 (0.046) Loss 2.3817 (2.4017) Prec@1 43.359 (45.561) Prec@5 73.438 (71.090)
Epoch: [43][1220/5005] Time 0.206 (0.212) Data 0.042 (0.046) Loss 2.3791 (2.4017) Prec@1 44.531 (45.571) Prec@5 71.875 (71.089)
Epoch: [43][1230/5005] Time 0.211 (0.212) Data 0.042 (0.046) Loss 2.4212 (2.4019) Prec@1 44.141 (45.563) Prec@5 69.531 (71.084)
Epoch: [43][1240/5005] Time 0.207 (0.212) Data 0.057 (0.046) Loss 2.3886 (2.4017) Prec@1 46.875 (45.566) Prec@5 70.312 (71.082)
Epoch: [43][1250/5005] Time 0.212 (0.212) Data 0.046 (0.046) Loss 2.6714 (2.4020) Prec@1 38.281 (45.554) Prec@5 64.844 (71.073)
Epoch: [43][1260/5005] Time 0.201 (0.211) Data 0.045 (0.046) Loss 2.1889 (2.4016) Prec@1 51.953 (45.554) Prec@5 72.266 (71.076)
Epoch: [43][1270/5005] Time 0.217 (0.211) Data 0.043 (0.046) Loss 2.4999 (2.4022) Prec@1 43.750 (45.549) Prec@5 68.750 (71.065)
Epoch: [43][1280/5005] Time 0.213 (0.211) Data 0.045 (0.046) Loss 2.3744 (2.4027) Prec@1 47.266 (45.545) Prec@5 69.922 (71.061)
Epoch: [43][1290/5005] Time 0.202 (0.211) Data 0.047 (0.046) Loss 2.0935 (2.4023) Prec@1 50.781 (45.547) Prec@5 75.391 (71.063)
Epoch: [43][1300/5005] Time 0.200 (0.211) Data 0.042 (0.046) Loss 2.3676 (2.4023) Prec@1 48.438 (45.546) Prec@5 69.922 (71.066)
Epoch: [43][1310/5005] Time 0.206 (0.211) Data 0.046 (0.046) Loss 2.4586 (2.4023) Prec@1 44.141 (45.544) Prec@5 69.531 (71.067)
Epoch: [43][1320/5005] Time 0.217 (0.211) Data 0.045 (0.046) Loss 2.4599 (2.4023) Prec@1 45.703 (45.549) Prec@5 71.484 (71.065)
Epoch: [43][1330/5005] Time 0.206 (0.211) Data 0.059 (0.046) Loss 2.5245 (2.4027) Prec@1 42.969 (45.548) Prec@5 69.531 (71.061)
Epoch: [43][1340/5005] Time 0.201 (0.211) Data 0.060 (0.046) Loss 2.4386 (2.4025) Prec@1 47.266 (45.560) Prec@5 69.141 (71.061)
Epoch: [43][1350/5005] Time 0.205 (0.211) Data 0.044 (0.046) Loss 2.8344 (2.4029) Prec@1 38.672 (45.552) Prec@5 64.844 (71.054)
Epoch: [43][1360/5005] Time 0.215 (0.211) Data 0.040 (0.046) Loss 2.2364 (2.4027) Prec@1 44.922 (45.553) Prec@5 76.172 (71.056)
Epoch: [43][1370/5005] Time 0.213 (0.211) Data 0.041 (0.046) Loss 2.4063 (2.4022) Prec@1 44.922 (45.558) Prec@5 70.703 (71.065)
Epoch: [43][1380/5005] Time 0.205 (0.211) Data 0.046 (0.046) Loss 2.4071 (2.4020) Prec@1 45.312 (45.565) Prec@5 75.000 (71.071)
Epoch: [43][1390/5005] Time 0.201 (0.211) Data 0.045 (0.046) Loss 2.1823 (2.4020) Prec@1 50.781 (45.566) Prec@5 75.000 (71.070)
Epoch: [43][1400/5005] Time 0.211 (0.211) Data 0.046 (0.046) Loss 2.2498 (2.4011) Prec@1 49.219 (45.576) Prec@5 71.484 (71.083)
Epoch: [43][1410/5005] Time 0.206 (0.211) Data 0.045 (0.046) Loss 2.3739 (2.4008) Prec@1 48.047 (45.587) Prec@5 72.656 (71.089)
Epoch: [43][1420/5005] Time 0.206 (0.211) Data 0.039 (0.046) Loss 2.6675 (2.4010) Prec@1 42.188 (45.583) Prec@5 65.625 (71.085)
Epoch: [43][1430/5005] Time 0.216 (0.211) Data 0.045 (0.046) Loss 2.1452 (2.4006) Prec@1 45.312 (45.590) Prec@5 76.172 (71.094)
Epoch: [43][1440/5005] Time 0.206 (0.211) Data 0.046 (0.046) Loss 2.1294 (2.4004) Prec@1 47.656 (45.590) Prec@5 75.391 (71.098)
Epoch: [43][1450/5005] Time 0.205 (0.211) Data 0.042 (0.046) Loss 2.3474 (2.4003) Prec@1 47.266 (45.596) Prec@5 69.922 (71.089)
Epoch: [43][1460/5005] Time 0.215 (0.211) Data 0.041 (0.046) Loss 2.3910 (2.4004) Prec@1 42.969 (45.591) Prec@5 69.922 (71.090)
Epoch: [43][1470/5005] Time 0.207 (0.211) Data 0.045 (0.046) Loss 2.5445 (2.4006) Prec@1 44.922 (45.587) Prec@5 69.141 (71.089)
Epoch: [43][1480/5005] Time 0.211 (0.211) Data 0.042 (0.046) Loss 2.2902 (2.4006) Prec@1 49.219 (45.588) Prec@5 74.609 (71.088)
Epoch: [43][1490/5005] Time 0.198 (0.211) Data 0.060 (0.046) Loss 2.6194 (2.4004) Prec@1 41.797 (45.590) Prec@5 67.969 (71.094)
Epoch: [43][1500/5005] Time 0.206 (0.211) Data 0.050 (0.046) Loss 2.3354 (2.4002) Prec@1 44.922 (45.594) Prec@5 71.875 (71.097)
Epoch: [43][1510/5005] Time 0.213 (0.211) Data 0.046 (0.046) Loss 2.2207 (2.3996) Prec@1 46.875 (45.600) Prec@5 73.828 (71.108)
Epoch: [43][1520/5005] Time 0.216 (0.211) Data 0.045 (0.046) Loss 2.3762 (2.3995) Prec@1 48.047 (45.597) Prec@5 71.875 (71.111)
Epoch: [43][1530/5005] Time 0.210 (0.211) Data 0.042 (0.046) Loss 2.6289 (2.3997) Prec@1 44.141 (45.596) Prec@5 66.016 (71.108)
Epoch: [43][1540/5005] Time 0.204 (0.211) Data 0.046 (0.046) Loss 2.5174 (2.3999) Prec@1 43.750 (45.593) Prec@5 66.406 (71.102)
Epoch: [43][1550/5005] Time 0.211 (0.211) Data 0.042 (0.046) Loss 2.3742 (2.3996) Prec@1 48.047 (45.596) Prec@5 72.656 (71.102)
Epoch: [43][1560/5005] Time 0.207 (0.211) Data 0.040 (0.046) Loss 2.2902 (2.3996) Prec@1 44.141 (45.598) Prec@5 72.266 (71.108)
Epoch: [43][1570/5005] Time 0.206 (0.211) Data 0.044 (0.046) Loss 2.1597 (2.3989) Prec@1 49.219 (45.607) Prec@5 76.953 (71.120)
Epoch: [43][1580/5005] Time 0.211 (0.211) Data 0.042 (0.046) Loss 2.2312 (2.3992) Prec@1 44.531 (45.595) Prec@5 75.000 (71.115)
Epoch: [43][1590/5005] Time 0.210 (0.211) Data 0.042 (0.046) Loss 2.2475 (2.3990) Prec@1 48.828 (45.596) Prec@5 71.094 (71.114)
Epoch: [43][1600/5005] Time 0.206 (0.211) Data 0.041 (0.046) Loss 2.4650 (2.3992) Prec@1 43.750 (45.589) Prec@5 69.531 (71.111)
Epoch: [43][1610/5005] Time 0.207 (0.211) Data 0.043 (0.046) Loss 2.4756 (2.3991) Prec@1 45.312 (45.589) Prec@5 69.141 (71.110)
Epoch: [43][1620/5005] Time 0.218 (0.211) Data 0.043 (0.046) Loss 2.4816 (2.3987) Prec@1 48.438 (45.592) Prec@5 68.750 (71.116)
Epoch: [43][1630/5005] Time 0.202 (0.211) Data 0.058 (0.046) Loss 2.2322 (2.3988) Prec@1 49.219 (45.589) Prec@5 72.266 (71.114)
Epoch: [43][1640/5005] Time 0.208 (0.211) Data 0.059 (0.046) Loss 2.5401 (2.3992) Prec@1 42.969 (45.586) Prec@5 66.797 (71.104)
Epoch: [43][1650/5005] Time 0.204 (0.211) Data 0.044 (0.046) Loss 2.5120 (2.3993) Prec@1 40.625 (45.593) Prec@5 68.750 (71.103)
Epoch: [43][1660/5005] Time 0.197 (0.211) Data 0.044 (0.046) Loss 2.1716 (2.3987) Prec@1 50.000 (45.610) Prec@5 75.000 (71.112)
Epoch: [43][1670/5005] Time 0.213 (0.211) Data 0.044 (0.046) Loss 2.1237 (2.3986) Prec@1 49.219 (45.612) Prec@5 75.000 (71.114)
Epoch: [43][1680/5005] Time 0.202 (0.211) Data 0.044 (0.046) Loss 2.5344 (2.3989) Prec@1 47.656 (45.615) Prec@5 67.188 (71.104)
Epoch: [43][1690/5005] Time 0.210 (0.211) Data 0.043 (0.046) Loss 2.3183 (2.3986) Prec@1 45.703 (45.618) Prec@5 73.438 (71.109)
Epoch: [43][1700/5005] Time 0.215 (0.211) Data 0.044 (0.046) Loss 2.3368 (2.3981) Prec@1 48.047 (45.630) Prec@5 72.266 (71.117)
Epoch: [43][1710/5005] Time 0.208 (0.211) Data 0.042 (0.046) Loss 2.2470 (2.3977) Prec@1 50.781 (45.636) Prec@5 74.609 (71.128)
Epoch: [43][1720/5005] Time 0.213 (0.211) Data 0.046 (0.046) Loss 2.3579 (2.3977) Prec@1 48.047 (45.636) Prec@5 73.047 (71.128)
Epoch: [43][1730/5005] Time 0.211 (0.211) Data 0.042 (0.046) Loss 2.3430 (2.3976) Prec@1 43.359 (45.637) Prec@5 69.922 (71.130)
Epoch: [43][1740/5005] Time 0.208 (0.211) Data 0.042 (0.046) Loss 2.6869 (2.3974) Prec@1 42.188 (45.643) Prec@5 66.016 (71.137)
Epoch: [43][1750/5005] Time 0.209 (0.211) Data 0.039 (0.046) Loss 2.4292 (2.3971) Prec@1 42.969 (45.644) Prec@5 69.531 (71.136)
Epoch: [43][1760/5005] Time 0.200 (0.211) Data 0.039 (0.046) Loss 2.2096 (2.3969) Prec@1 49.609 (45.646) Prec@5 75.000 (71.138)
Epoch: [43][1770/5005] Time 0.211 (0.211) Data 0.043 (0.046) Loss 2.5022 (2.3968) Prec@1 41.016 (45.645) Prec@5 71.484 (71.144)
Epoch: [43][1780/5005] Time 0.204 (0.211) Data 0.039 (0.046) Loss 2.3028 (2.3967) Prec@1 45.703 (45.645) Prec@5 74.219 (71.146)
Epoch: [43][1790/5005] Time 0.213 (0.211) Data 0.043 (0.046) Loss 2.2899 (2.3965) Prec@1 48.047 (45.646) Prec@5 72.266 (71.147)
Epoch: [43][1800/5005] Time 0.208 (0.211) Data 0.042 (0.046) Loss 2.4005 (2.3963) Prec@1 43.750 (45.648) Prec@5 69.141 (71.152)
Epoch: [43][1810/5005] Time 0.210 (0.211) Data 0.043 (0.046) Loss 2.2734 (2.3961) Prec@1 49.609 (45.646) Prec@5 72.656 (71.151)
Epoch: [43][1820/5005] Time 0.204 (0.211) Data 0.043 (0.046) Loss 2.2970 (2.3960) Prec@1 40.625 (45.645) Prec@5 72.266 (71.155)
Epoch: [43][1830/5005] Time 0.210 (0.211) Data 0.041 (0.046) Loss 2.1520 (2.3955) Prec@1 47.266 (45.647) Prec@5 75.000 (71.162)
Epoch: [43][1840/5005] Time 0.210 (0.211) Data 0.045 (0.046) Loss 2.4682 (2.3954) Prec@1 44.531 (45.650) Prec@5 70.703 (71.163)
Epoch: [43][1850/5005] Time 0.200 (0.211) Data 0.047 (0.046) Loss 2.3653 (2.3951) Prec@1 44.141 (45.658) Prec@5 77.344 (71.170)
Epoch: [43][1860/5005] Time 0.208 (0.211) Data 0.044 (0.046) Loss 2.3932 (2.3951) Prec@1 48.438 (45.656) Prec@5 71.484 (71.170)
Epoch: [43][1870/5005] Time 0.204 (0.211) Data 0.044 (0.046) Loss 2.4746 (2.3954) Prec@1 44.922 (45.648) Prec@5 70.703 (71.164)
Epoch: [43][1880/5005] Time 0.209 (0.211) Data 0.043 (0.046) Loss 2.4773 (2.3956) Prec@1 45.312 (45.644) Prec@5 66.797 (71.158)
Epoch: [43][1890/5005] Time 0.213 (0.211) Data 0.044 (0.046) Loss 2.3873 (2.3956) Prec@1 44.922 (45.638) Prec@5 72.266 (71.158)
Epoch: [43][1900/5005] Time 0.213 (0.211) Data 0.041 (0.046) Loss 2.4259 (2.3961) Prec@1 45.312 (45.633) Prec@5 72.266 (71.151)
Epoch: [43][1910/5005] Time 0.205 (0.211) Data 0.041 (0.046) Loss 2.4784 (2.3963) Prec@1 41.016 (45.626) Prec@5 71.094 (71.147)
Epoch: [43][1920/5005] Time 0.207 (0.211) Data 0.043 (0.046) Loss 2.2292 (2.3961) Prec@1 51.562 (45.630) Prec@5 74.219 (71.148)
Epoch: [43][1930/5005] Time 0.205 (0.211) Data 0.041 (0.046) Loss 2.3008 (2.3960) Prec@1 48.828 (45.627) Prec@5 73.047 (71.153)
Epoch: [43][1940/5005] Time 0.210 (0.210) Data 0.042 (0.046) Loss 2.2488 (2.3956) Prec@1 49.219 (45.633) Prec@5 74.219 (71.165)
Epoch: [43][1950/5005] Time 0.214 (0.210) Data 0.060 (0.046) Loss 2.3706 (2.3955) Prec@1 50.000 (45.636) Prec@5 73.047 (71.168)
Epoch: [43][1960/5005] Time 0.214 (0.210) Data 0.043 (0.046) Loss 2.2842 (2.3953) Prec@1 47.656 (45.640) Prec@5 72.656 (71.172)
Epoch: [43][1970/5005] Time 0.195 (0.211) Data 0.051 (0.046) Loss 2.4931 (2.3954) Prec@1 46.484 (45.643) Prec@5 69.141 (71.165)
Epoch: [43][1980/5005] Time 0.198 (0.211) Data 0.042 (0.046) Loss 2.1656 (2.3954) Prec@1 51.953 (45.643) Prec@5 73.828 (71.168)
Epoch: [43][1990/5005] Time 0.206 (0.211) Data 0.043 (0.046) Loss 2.2561 (2.3952) Prec@1 50.000 (45.645) Prec@5 71.484 (71.172)
Epoch: [43][2000/5005] Time 0.201 (0.211) Data 0.052 (0.046) Loss 2.2856 (2.3953) Prec@1 51.172 (45.647) Prec@5 71.094 (71.167)
Epoch: [43][2010/5005] Time 0.203 (0.211) Data 0.043 (0.046) Loss 2.2667 (2.3952) Prec@1 50.000 (45.647) Prec@5 74.219 (71.171)
Epoch: [43][2020/5005] Time 0.213 (0.211) Data 0.043 (0.046) Loss 2.3393 (2.3953) Prec@1 49.219 (45.646) Prec@5 70.703 (71.170)
Epoch: [43][2030/5005] Time 0.199 (0.211) Data 0.050 (0.046) Loss 2.3274 (2.3952) Prec@1 47.266 (45.649) Prec@5 73.828 (71.170)
Epoch: [43][2040/5005] Time 0.204 (0.211) Data 0.056 (0.046) Loss 2.1933 (2.3951) Prec@1 47.656 (45.648) Prec@5 76.562 (71.178)
Epoch: [43][2050/5005] Time 0.206 (0.211) Data 0.044 (0.046) Loss 2.4590 (2.3949) Prec@1 48.047 (45.656) Prec@5 69.922 (71.179)
Epoch: [43][2060/5005] Time 0.207 (0.211) Data 0.042 (0.046) Loss 2.2492 (2.3948) Prec@1 46.875 (45.656) Prec@5 71.094 (71.182)
Epoch: [43][2070/5005] Time 0.197 (0.211) Data 0.058 (0.046) Loss 2.4721 (2.3949) Prec@1 43.359 (45.656) Prec@5 70.312 (71.180)
Epoch: [43][2080/5005] Time 0.208 (0.211) Data 0.069 (0.046) Loss 2.4238 (2.3948) Prec@1 44.922 (45.661) Prec@5 73.828 (71.181)
Epoch: [43][2090/5005] Time 0.211 (0.211) Data 0.045 (0.046) Loss 2.3109 (2.3943) Prec@1 46.094 (45.667) Prec@5 73.438 (71.187)
Epoch: [43][2100/5005] Time 0.213 (0.211) Data 0.044 (0.046) Loss 2.4997 (2.3941) Prec@1 40.625 (45.666) Prec@5 69.531 (71.191)
Epoch: [43][2110/5005] Time 0.209 (0.211) Data 0.053 (0.046) Loss 2.1776 (2.3940) Prec@1 48.438 (45.670) Prec@5 75.391 (71.194)
Epoch: [43][2120/5005] Time 0.206 (0.211) Data 0.053 (0.046) Loss 2.4258 (2.3941) Prec@1 44.531 (45.671) Prec@5 71.094 (71.199)
Epoch: [43][2130/5005] Time 0.219 (0.211) Data 0.040 (0.046) Loss 2.4188 (2.3936) Prec@1 45.312 (45.680) Prec@5 67.188 (71.201)
Epoch: [43][2140/5005] Time 0.206 (0.211) Data 0.044 (0.046) Loss 2.3127 (2.3936) Prec@1 46.484 (45.681) Prec@5 72.656 (71.204)
Epoch: [43][2150/5005] Time 0.208 (0.211) Data 0.047 (0.046) Loss 2.1746 (2.3935) Prec@1 50.781 (45.685) Prec@5 73.438 (71.203)
Epoch: [43][2160/5005] Time 0.205 (0.211) Data 0.050 (0.046) Loss 2.2959 (2.3934) Prec@1 47.656 (45.685) Prec@5 71.484 (71.205)
Epoch: [43][2170/5005] Time 0.205 (0.211) Data 0.047 (0.046) Loss 2.2440 (2.3930) Prec@1 49.609 (45.695) Prec@5 73.828 (71.207)
Epoch: [43][2180/5005] Time 0.211 (0.211) Data 0.042 (0.046) Loss 2.4704 (2.3931) Prec@1 49.219 (45.695) Prec@5 69.922 (71.208)
Epoch: [43][2190/5005] Time 0.200 (0.211) Data 0.044 (0.046) Loss 2.5325 (2.3930) Prec@1 43.750 (45.693) Prec@5 67.188 (71.207)
Epoch: [43][2200/5005] Time 0.206 (0.211) Data 0.042 (0.046) Loss 2.4649 (2.3933) Prec@1 46.484 (45.685) Prec@5 67.188 (71.197)
Epoch: [43][2210/5005] Time 0.209 (0.211) Data 0.044 (0.046) Loss 2.5065 (2.3937) Prec@1 42.578 (45.674) Prec@5 69.141 (71.188)
Epoch: [43][2220/5005] Time 0.213 (0.211) Data 0.042 (0.046) Loss 2.5376 (2.3935) Prec@1 45.312 (45.676) Prec@5 68.359 (71.189)
Epoch: [43][2230/5005] Time 0.200 (0.211) Data 0.043 (0.046) Loss 2.4705 (2.3937) Prec@1 45.703 (45.672) Prec@5 68.750 (71.181)
Epoch: [43][2240/5005] Time 0.211 (0.211) Data 0.043 (0.046) Loss 2.3163 (2.3937) Prec@1 50.391 (45.673) Prec@5 74.219 (71.181)
Epoch: [43][2250/5005] Time 0.208 (0.211) Data 0.042 (0.046) Loss 2.2318 (2.3938) Prec@1 50.781 (45.675) Prec@5 73.047 (71.180)
Epoch: [43][2260/5005] Time 0.207 (0.211) Data 0.044 (0.046) Loss 2.3258 (2.3936) Prec@1 46.094 (45.682) Prec@5 68.359 (71.182)
Epoch: [43][2270/5005] Time 0.207 (0.211) Data 0.041 (0.046) Loss 2.6451 (2.3935) Prec@1 40.625 (45.686) Prec@5 67.188 (71.180)
Epoch: [43][2280/5005] Time 0.207 (0.211) Data 0.044 (0.046) Loss 2.2873 (2.3935) Prec@1 46.094 (45.686) Prec@5 73.828 (71.186)
Epoch: [43][2290/5005] Time 0.211 (0.211) Data 0.041 (0.046) Loss 2.2815 (2.3934) Prec@1 47.656 (45.688) Prec@5 73.438 (71.184)
Epoch: [43][2300/5005] Time 0.204 (0.211) Data 0.043 (0.046) Loss 2.3304 (2.3934) Prec@1 46.875 (45.692) Prec@5 71.094 (71.185)
Epoch: [43][2310/5005] Time 0.213 (0.211) Data 0.058 (0.046) Loss 2.1582 (2.3934) Prec@1 50.781 (45.697) Prec@5 75.000 (71.186)
Epoch: [43][2320/5005] Time 0.206 (0.211) Data 0.058 (0.046) Loss 2.5860 (2.3934) Prec@1 42.969 (45.698) Prec@5 67.969 (71.186)
Epoch: [43][2330/5005] Time 0.211 (0.211) Data 0.042 (0.046) Loss 2.4228 (2.3934) Prec@1 46.484 (45.702) Prec@5 70.703 (71.188)
Epoch: [43][2340/5005] Time 0.205 (0.211) Data 0.056 (0.046) Loss 2.3676 (2.3931) Prec@1 42.969 (45.706) Prec@5 72.266 (71.190)
Epoch: [43][2350/5005] Time 0.196 (0.211) Data 0.045 (0.046) Loss 2.3117 (2.3931) Prec@1 46.484 (45.708) Prec@5 71.875 (71.192)
Epoch: [43][2360/5005] Time 0.209 (0.210) Data 0.042 (0.046) Loss 2.3072 (2.3931) Prec@1 44.922 (45.706) Prec@5 71.875 (71.192)
Epoch: [43][2370/5005] Time 0.207 (0.210) Data 0.044 (0.046) Loss 2.5029 (2.3932) Prec@1 42.188 (45.705) Prec@5 67.188 (71.190)
Epoch: [43][2380/5005] Time 0.194 (0.210) Data 0.045 (0.046) Loss 2.3222 (2.3931) Prec@1 46.484 (45.709) Prec@5 70.312 (71.189)
Epoch: [43][2390/5005] Time 0.212 (0.210) Data 0.041 (0.046) Loss 2.4398 (2.3930) Prec@1 44.141 (45.713) Prec@5 72.266 (71.190)
Epoch: [43][2400/5005] Time 0.210 (0.210) Data 0.042 (0.046) Loss 2.3949 (2.3930) Prec@1 45.312 (45.710) Prec@5 71.484 (71.189)
Epoch: [43][2410/5005] Time 0.214 (0.210) Data 0.047 (0.046) Loss 2.5769 (2.3932) Prec@1 41.797 (45.706) Prec@5 67.578 (71.185)
Epoch: [43][2420/5005] Time 0.210 (0.210) Data 0.041 (0.046) Loss 2.4518 (2.3930) Prec@1 44.922 (45.713) Prec@5 70.703 (71.189)
Epoch: [43][2430/5005] Time 0.212 (0.210) Data 0.049 (0.046) Loss 2.2467 (2.3930) Prec@1 46.094 (45.712) Prec@5 73.047 (71.183)
Epoch: [43][2440/5005] Time 0.210 (0.210) Data 0.056 (0.046) Loss 2.1364 (2.3930) Prec@1 48.828 (45.714) Prec@5 75.391 (71.184)
Epoch: [43][2450/5005] Time 0.207 (0.210) Data 0.050 (0.046) Loss 2.2732 (2.3929) Prec@1 49.219 (45.718) Prec@5 71.875 (71.187)
Epoch: [43][2460/5005] Time 0.217 (0.210) Data 0.047 (0.046) Loss 2.3028 (2.3927) Prec@1 46.484 (45.724) Prec@5 72.656 (71.192)
Epoch: [43][2470/5005] Time 0.208 (0.210) Data 0.045 (0.046) Loss 2.2951 (2.3925) Prec@1 47.656 (45.730) Prec@5 72.266 (71.196)
Epoch: [43][2480/5005] Time 0.206 (0.210) Data 0.040 (0.046) Loss 2.5443 (2.3926) Prec@1 42.969 (45.728) Prec@5 69.922 (71.192)
Epoch: [43][2490/5005] Time 0.210 (0.210) Data 0.048 (0.046) Loss 2.2226 (2.3927) Prec@1 49.219 (45.726) Prec@5 74.219 (71.192)
Epoch: [43][2500/5005] Time 0.207 (0.210) Data 0.043 (0.046) Loss 2.4345 (2.3925) Prec@1 42.188 (45.726) Prec@5 66.797 (71.193)
Epoch: [43][2510/5005] Time 0.205 (0.210) Data 0.057 (0.046) Loss 2.4102 (2.3926) Prec@1 46.484 (45.728) Prec@5 72.266 (71.194)
Epoch: [43][2520/5005] Time 0.209 (0.210) Data 0.047 (0.046) Loss 2.3743 (2.3925) Prec@1 48.438 (45.728) Prec@5 72.656 (71.194)
Epoch: [43][2530/5005] Time 0.201 (0.210) Data 0.045 (0.046) Loss 2.5326 (2.3927) Prec@1 43.359 (45.728) Prec@5 66.797 (71.191)
Epoch: [43][2540/5005] Time 0.212 (0.210) Data 0.042 (0.046) Loss 2.2945 (2.3928) Prec@1 47.656 (45.730) Prec@5 71.875 (71.188)
Epoch: [43][2550/5005] Time 0.207 (0.210) Data 0.042 (0.046) Loss 2.2454 (2.3926) Prec@1 47.656 (45.737) Prec@5 73.438 (71.192)
Epoch: [43][2560/5005] Time 0.203 (0.210) Data 0.045 (0.046) Loss 2.6542 (2.3926) Prec@1 39.844 (45.735) Prec@5 68.359 (71.194)
Epoch: [43][2570/5005] Time 0.209 (0.210) Data 0.043 (0.046) Loss 2.4608 (2.3929) Prec@1 41.797 (45.733) Prec@5 73.438 (71.191)
Epoch: [43][2580/5005] Time 0.204 (0.210) Data 0.048 (0.046) Loss 2.4617 (2.3931) Prec@1 46.484 (45.729) Prec@5 69.922 (71.186)
Epoch: [43][2590/5005] Time 0.199 (0.210) Data 0.048 (0.046) Loss 2.4210 (2.3930) Prec@1 45.312 (45.730) Prec@5 71.484 (71.184)
Epoch: [43][2600/5005] Time 0.210 (0.210) Data 0.044 (0.046) Loss 2.5717 (2.3932) Prec@1 42.969 (45.731) Prec@5 67.969 (71.179)
Epoch: [43][2610/5005] Time 0.208 (0.210) Data 0.040 (0.046) Loss 2.6083 (2.3929) Prec@1 39.453 (45.734) Prec@5 69.141 (71.185)
Epoch: [43][2620/5005] Time 0.212 (0.210) Data 0.047 (0.046) Loss 2.2851 (2.3930) Prec@1 44.922 (45.734) Prec@5 70.703 (71.181)
Epoch: [43][2630/5005] Time 0.214 (0.210) Data 0.043 (0.046) Loss 2.6668 (2.3934) Prec@1 41.016 (45.730) Prec@5 64.844 (71.172)
Epoch: [43][2640/5005] Time 0.214 (0.210) Data 0.043 (0.046) Loss 2.5014 (2.3933) Prec@1 44.922 (45.731) Prec@5 67.188 (71.176)
Epoch: [43][2650/5005] Time 0.216 (0.210) Data 0.046 (0.046) Loss 2.5358 (2.3934) Prec@1 41.797 (45.725) Prec@5 67.969 (71.170)
Epoch: [43][2660/5005] Time 0.213 (0.210) Data 0.047 (0.046) Loss 2.3510 (2.3934) Prec@1 45.703 (45.724) Prec@5 69.531 (71.166)
Epoch: [43][2670/5005] Time 0.215 (0.210) Data 0.046 (0.046) Loss 1.9959 (2.3931) Prec@1 51.562 (45.735) Prec@5 77.734 (71.172)
Epoch: [43][2680/5005] Time 0.209 (0.210) Data 0.043 (0.046) Loss 2.1939 (2.3930) Prec@1 51.172 (45.740) Prec@5 73.828 (71.173)
Epoch: [43][2690/5005] Time 0.207 (0.210) Data 0.045 (0.046) Loss 2.2134 (2.3928) Prec@1 49.609 (45.742) Prec@5 76.172 (71.175)
Epoch: [43][2700/5005] Time 0.211 (0.210) Data 0.042 (0.046) Loss 2.2609 (2.3928) Prec@1 47.656 (45.741) Prec@5 72.266 (71.178)
Epoch: [43][2710/5005] Time 0.207 (0.210) Data 0.044 (0.046) Loss 2.2426 (2.3930) Prec@1 48.047 (45.736) Prec@5 75.391 (71.177)
Epoch: [43][2720/5005] Time 0.210 (0.210) Data 0.042 (0.046) Loss 2.3295 (2.3929) Prec@1 45.312 (45.737) Prec@5 76.562 (71.178)
Epoch: [43][2730/5005] Time 0.194 (0.210) Data 0.059 (0.046) Loss 2.4498 (2.3927) Prec@1 45.703 (45.737) Prec@5 71.484 (71.180)
Epoch: [43][2740/5005] Time 0.201 (0.210) Data 0.044 (0.046) Loss 2.3379 (2.3928) Prec@1 50.781 (45.739) Prec@5 71.875 (71.181)
Epoch: [43][2750/5005] Time 0.203 (0.210) Data 0.048 (0.046) Loss 2.4021 (2.3927) Prec@1 44.531 (45.737) Prec@5 68.750 (71.180)
Epoch: [43][2760/5005] Time 0.205 (0.210) Data 0.042 (0.046) Loss 2.3167 (2.3926) Prec@1 46.875 (45.742) Prec@5 71.875 (71.182)
Epoch: [43][2770/5005] Time 0.195 (0.210) Data 0.047 (0.046) Loss 2.4523 (2.3926) Prec@1 44.922 (45.742) Prec@5 73.438 (71.182)
Epoch: [43][2780/5005] Time 0.205 (0.210) Data 0.048 (0.046) Loss 2.6343 (2.3926) Prec@1 38.281 (45.743) Prec@5 69.531 (71.184)
Epoch: [43][2790/5005] Time 0.219 (0.210) Data 0.046 (0.046) Loss 2.5951 (2.3928) Prec@1 40.234 (45.741) Prec@5 68.359 (71.181)
Epoch: [43][2800/5005] Time 0.213 (0.210) Data 0.043 (0.046) Loss 2.2113 (2.3928) Prec@1 51.562 (45.742) Prec@5 75.000 (71.183)
Epoch: [43][2810/5005] Time 0.206 (0.210) Data 0.041 (0.046) Loss 2.5447 (2.3928) Prec@1 45.703 (45.743) Prec@5 68.750 (71.180)
Epoch: [43][2820/5005] Time 0.209 (0.210) Data 0.042 (0.046) Loss 2.0525 (2.3926) Prec@1 47.656 (45.742) Prec@5 76.953 (71.186)
Epoch: [43][2830/5005] Time 0.202 (0.210) Data 0.044 (0.046) Loss 2.4734 (2.3927) Prec@1 45.312 (45.740) Prec@5 73.047 (71.186)
Epoch: [43][2840/5005] Time 0.205 (0.210) Data 0.040 (0.046) Loss 2.5054 (2.3927) Prec@1 42.188 (45.737) Prec@5 69.531 (71.186)
Epoch: [43][2850/5005] Time 0.207 (0.210) Data 0.043 (0.046) Loss 2.4474 (2.3926) Prec@1 48.828 (45.740) Prec@5 67.969 (71.188)
Epoch: [43][2860/5005] Time 0.202 (0.210) Data 0.053 (0.046) Loss 2.4031 (2.3926) Prec@1 46.875 (45.737) Prec@5 71.484 (71.188)
Epoch: [43][2870/5005] Time 0.205 (0.210) Data 0.041 (0.046) Loss 2.2820 (2.3924) Prec@1 48.047 (45.741) Prec@5 72.656 (71.192)
Epoch: [43][2880/5005] Time 0.211 (0.210) Data 0.040 (0.046) Loss 2.4344 (2.3925) Prec@1 43.750 (45.740) Prec@5 70.703 (71.189)
Epoch: [43][2890/5005] Time 0.206 (0.210) Data 0.048 (0.046) Loss 2.4195 (2.3924) Prec@1 42.578 (45.741) Prec@5 72.266 (71.191)
Epoch: [43][2900/5005] Time 0.198 (0.210) Data 0.058 (0.046) Loss 2.2097 (2.3922) Prec@1 44.531 (45.744) Prec@5 78.125 (71.197)
Epoch: [43][2910/5005] Time 0.204 (0.210) Data 0.044 (0.046) Loss 2.3294 (2.3923) Prec@1 44.531 (45.740) Prec@5 71.875 (71.194)
Epoch: [43][2920/5005] Time 0.199 (0.210) Data 0.045 (0.046) Loss 2.5377 (2.3923) Prec@1 46.484 (45.745) Prec@5 66.406 (71.195)
Epoch: [43][2930/5005] Time 0.208 (0.210) Data 0.045 (0.046) Loss 2.5302 (2.3923) Prec@1 41.797 (45.742) Prec@5 67.969 (71.198)
Epoch: [43][2940/5005] Time 0.200 (0.210) Data 0.042 (0.046) Loss 2.3592 (2.3919) Prec@1 46.875 (45.749) Prec@5 71.484 (71.207)
Epoch: [43][2950/5005] Time 0.201 (0.210) Data 0.038 (0.046) Loss 2.6542 (2.3918) Prec@1 39.453 (45.748) Prec@5 66.797 (71.207)
Epoch: [43][2960/5005] Time 0.201 (0.210) Data 0.057 (0.046) Loss 2.4385 (2.3915) Prec@1 46.094 (45.755) Prec@5 70.703 (71.213)
Epoch: [43][2970/5005] Time 0.199 (0.210) Data 0.043 (0.046) Loss 2.5401 (2.3915) Prec@1 41.016 (45.750) Prec@5 68.750 (71.212)
Epoch: [43][2980/5005] Time 0.209 (0.210) Data 0.050 (0.046) Loss 2.4849 (2.3915) Prec@1 41.797 (45.751) Prec@5 72.266 (71.214)
Epoch: [43][2990/5005] Time 0.210 (0.210) Data 0.040 (0.046) Loss 2.2958 (2.3914) Prec@1 46.094 (45.755) Prec@5 74.219 (71.217)
Epoch: [43][3000/5005] Time 0.207 (0.210) Data 0.043 (0.046) Loss 2.3627 (2.3913) Prec@1 45.312 (45.756) Prec@5 73.438 (71.220)
Epoch: [43][3010/5005] Time 0.202 (0.210) Data 0.069 (0.046) Loss 2.3984 (2.3915) Prec@1 44.141 (45.753) Prec@5 72.656 (71.217)
Epoch: [43][3020/5005] Time 0.209 (0.210) Data 0.046 (0.046) Loss 2.3091 (2.3915) Prec@1 45.312 (45.754) Prec@5 73.438 (71.216)
Epoch: [43][3030/5005] Time 0.212 (0.210) Data 0.041 (0.046) Loss 2.4068 (2.3916) Prec@1 48.438 (45.749) Prec@5 69.531 (71.213)
Epoch: [43][3040/5005] Time 0.209 (0.210) Data 0.045 (0.046) Loss 2.2617 (2.3915) Prec@1 49.219 (45.754) Prec@5 70.703 (71.211)
Epoch: [43][3050/5005] Time 0.211 (0.210) Data 0.040 (0.046) Loss 2.3421 (2.3915) Prec@1 46.094 (45.754) Prec@5 72.656 (71.211)
Epoch: [43][3060/5005] Time 0.214 (0.210) Data 0.046 (0.046) Loss 2.3251 (2.3914) Prec@1 48.828 (45.753) Prec@5 75.781 (71.212)
Epoch: [43][3070/5005] Time 0.202 (0.210) Data 0.045 (0.046) Loss 2.3434 (2.3915) Prec@1 42.188 (45.750) Prec@5 74.609 (71.214)
Epoch: [43][3080/5005] Time 0.200 (0.210) Data 0.069 (0.046) Loss 2.2103 (2.3915) Prec@1 48.828 (45.750) Prec@5 76.562 (71.217)
Epoch: [43][3090/5005] Time 0.211 (0.210) Data 0.048 (0.046) Loss 2.7482 (2.3914) Prec@1 42.188 (45.753) Prec@5 65.234 (71.218)
Epoch: [43][3100/5005] Time 0.202 (0.210) Data 0.060 (0.046) Loss 2.4199 (2.3915) Prec@1 42.188 (45.749) Prec@5 70.703 (71.217)
Epoch: [43][3110/5005] Time 0.210 (0.210) Data 0.043 (0.046) Loss 2.2072 (2.3914) Prec@1 46.875 (45.751) Prec@5 72.656 (71.217)
Epoch: [43][3120/5005] Time 0.214 (0.210) Data 0.043 (0.046) Loss 2.4669 (2.3915) Prec@1 43.359 (45.747) Prec@5 69.922 (71.214)
Epoch: [43][3130/5005] Time 0.210 (0.210) Data 0.040 (0.046) Loss 2.5931 (2.3914) Prec@1 39.453 (45.745) Prec@5 66.016 (71.219)
Epoch: [43][3140/5005] Time 0.210 (0.210) Data 0.041 (0.046) Loss 2.2064 (2.3912) Prec@1 51.562 (45.750) Prec@5 71.484 (71.219)
Epoch: [43][3150/5005] Time 0.210 (0.210) Data 0.041 (0.046) Loss 2.3139 (2.3910) Prec@1 48.438 (45.755) Prec@5 73.047 (71.223)
Epoch: [43][3160/5005] Time 0.198 (0.210) Data 0.055 (0.046) Loss 2.3004 (2.3910) Prec@1 48.438 (45.757) Prec@5 74.609 (71.224)
Epoch: [43][3170/5005] Time 0.197 (0.210) Data 0.061 (0.046) Loss 2.2980 (2.3910) Prec@1 50.000 (45.758) Prec@5 72.656 (71.225)
Epoch: [43][3180/5005] Time 0.205 (0.210) Data 0.045 (0.046) Loss 2.2301 (2.3911) Prec@1 51.562 (45.760) Prec@5 73.828 (71.223)
Epoch: [43][3190/5005] Time 0.199 (0.210) Data 0.049 (0.046) Loss 2.4899 (2.3911) Prec@1 46.484 (45.760) Prec@5 70.312 (71.226)
Epoch: [43][3200/5005] Time 0.219 (0.210) Data 0.046 (0.046) Loss 2.4726 (2.3912) Prec@1 44.531 (45.764) Prec@5 71.484 (71.227)
Epoch: [43][3210/5005] Time 0.211 (0.210) Data 0.046 (0.046) Loss 2.5473 (2.3912) Prec@1 43.750 (45.764) Prec@5 70.703 (71.228)
Epoch: [43][3220/5005] Time 0.202 (0.210) Data 0.048 (0.046) Loss 2.5073 (2.3911) Prec@1 45.312 (45.768) Prec@5 68.359 (71.228)
Epoch: [43][3230/5005] Time 0.202 (0.210) Data 0.052 (0.046) Loss 2.2427 (2.3909) Prec@1 47.266 (45.771) Prec@5 73.438 (71.231)
Epoch: [43][3240/5005] Time 0.206 (0.210) Data 0.040 (0.046) Loss 2.5968 (2.3914) Prec@1 39.453 (45.761) Prec@5 67.969 (71.224)
Epoch: [43][3250/5005] Time 0.207 (0.210) Data 0.042 (0.046) Loss 2.3319 (2.3915) Prec@1 47.266 (45.759) Prec@5 73.828 (71.223)
Epoch: [43][3260/5005] Time 0.206 (0.210) Data 0.045 (0.046) Loss 2.3217 (2.3916) Prec@1 49.609 (45.758) Prec@5 74.609 (71.222)
Epoch: [43][3270/5005] Time 0.210 (0.210) Data 0.043 (0.046) Loss 2.5250 (2.3915) Prec@1 42.969 (45.760) Prec@5 65.625 (71.222)
Epoch: [43][3280/5005] Time 0.208 (0.210) Data 0.044 (0.046) Loss 2.1608 (2.3916) Prec@1 51.562 (45.759) Prec@5 76.562 (71.222)
Epoch: [43][3290/5005] Time 0.207 (0.210) Data 0.044 (0.046) Loss 2.3655 (2.3915) Prec@1 45.703 (45.761) Prec@5 69.141 (71.223)
Epoch: [43][3300/5005] Time 0.215 (0.210) Data 0.049 (0.046) Loss 2.3433 (2.3915) Prec@1 43.750 (45.761) Prec@5 71.484 (71.222)
Epoch: [43][3310/5005] Time 0.209 (0.210) Data 0.046 (0.046) Loss 2.2329 (2.3915) Prec@1 48.047 (45.760) Prec@5 73.438 (71.220)
Epoch: [43][3320/5005] Time 0.204 (0.210) Data 0.053 (0.046) Loss 2.3717 (2.3916) Prec@1 47.266 (45.759) Prec@5 70.703 (71.215)
Epoch: [43][3330/5005] Time 0.207 (0.210) Data 0.048 (0.046) Loss 2.5006 (2.3917) Prec@1 42.969 (45.759) Prec@5 67.188 (71.211)
Epoch: [43][3340/5005] Time 0.215 (0.210) Data 0.045 (0.046) Loss 2.5650 (2.3917) Prec@1 44.531 (45.759) Prec@5 70.312 (71.210)
Epoch: [43][3350/5005] Time 0.205 (0.210) Data 0.039 (0.046) Loss 2.5114 (2.3917) Prec@1 44.141 (45.759) Prec@5 69.922 (71.213)
Epoch: [43][3360/5005] Time 0.202 (0.210) Data 0.049 (0.046) Loss 2.3297 (2.3917) Prec@1 52.344 (45.763) Prec@5 74.609 (71.213)
Epoch: [43][3370/5005] Time 0.203 (0.210) Data 0.058 (0.046) Loss 2.4866 (2.3917) Prec@1 40.625 (45.761) Prec@5 72.266 (71.213)
Epoch: [43][3380/5005] Time 0.203 (0.210) Data 0.049 (0.046) Loss 2.4666 (2.3916) Prec@1 47.656 (45.763) Prec@5 71.484 (71.216)
Epoch: [43][3390/5005] Time 0.203 (0.210) Data 0.052 (0.046) Loss 2.3566 (2.3918) Prec@1 48.828 (45.758) Prec@5 75.391 (71.214)
Epoch: [43][3400/5005] Time 0.199 (0.210) Data 0.049 (0.046) Loss 2.3346 (2.3919) Prec@1 46.875 (45.758) Prec@5 72.266 (71.214)
Epoch: [43][3410/5005] Time 0.216 (0.210) Data 0.047 (0.046) Loss 2.3174 (2.3918) Prec@1 47.656 (45.759) Prec@5 71.875 (71.218)
Epoch: [43][3420/5005] Time 0.209 (0.210) Data 0.042 (0.046) Loss 2.2930 (2.3917) Prec@1 49.219 (45.763) Prec@5 72.266 (71.220)
Epoch: [43][3430/5005] Time 0.210 (0.210) Data 0.049 (0.046) Loss 2.3227 (2.3916) Prec@1 44.922 (45.764) Prec@5 70.312 (71.220)
Epoch: [43][3440/5005] Time 0.206 (0.210) Data 0.066 (0.046) Loss 2.4461 (2.3914) Prec@1 42.188 (45.765) Prec@5 70.312 (71.222)
Epoch: [43][3450/5005] Time 0.201 (0.210) Data 0.062 (0.046) Loss 2.1596 (2.3912) Prec@1 48.438 (45.766) Prec@5 73.828 (71.227)
Epoch: [43][3460/5005] Time 0.206 (0.210) Data 0.048 (0.046) Loss 2.3462 (2.3912) Prec@1 47.266 (45.768) Prec@5 71.484 (71.226)
Epoch: [43][3470/5005] Time 0.211 (0.210) Data 0.048 (0.046) Loss 2.2533 (2.3910) Prec@1 49.609 (45.769) Prec@5 75.000 (71.229)
Epoch: [43][3480/5005] Time 0.202 (0.210) Data 0.044 (0.046) Loss 2.2715 (2.3908) Prec@1 47.266 (45.772) Prec@5 74.219 (71.235)
Epoch: [43][3490/5005] Time 0.214 (0.210) Data 0.068 (0.046) Loss 2.4050 (2.3908) Prec@1 45.312 (45.771) Prec@5 74.219 (71.236)
Epoch: [43][3500/5005] Time 0.214 (0.210) Data 0.045 (0.046) Loss 2.1909 (2.3908) Prec@1 48.828 (45.768) Prec@5 73.438 (71.235)
Epoch: [43][3510/5005] Time 0.209 (0.210) Data 0.043 (0.046) Loss 2.1994 (2.3908) Prec@1 48.047 (45.768) Prec@5 75.781 (71.237)
Epoch: [43][3520/5005] Time 0.204 (0.210) Data 0.042 (0.046) Loss 2.6888 (2.3909) Prec@1 40.625 (45.768) Prec@5 64.453 (71.235)
Epoch: [43][3530/5005] Time 0.206 (0.210) Data 0.048 (0.046) Loss 2.3051 (2.3907) Prec@1 48.438 (45.775) Prec@5 71.484 (71.236)
Epoch: [43][3540/5005] Time 0.210 (0.210) Data 0.042 (0.046) Loss 2.1537 (2.3904) Prec@1 49.219 (45.777) Prec@5 75.391 (71.240)
Epoch: [43][3550/5005] Time 0.208 (0.210) Data 0.041 (0.046) Loss 2.3799 (2.3903) Prec@1 45.312 (45.777) Prec@5 69.922 (71.242)
Epoch: [43][3560/5005] Time 0.213 (0.210) Data 0.042 (0.046) Loss 2.4047 (2.3902) Prec@1 43.750 (45.776) Prec@5 67.578 (71.243)
Epoch: [43][3570/5005] Time 0.192 (0.210) Data 0.046 (0.046) Loss 2.5415 (2.3904) Prec@1 44.922 (45.773) Prec@5 67.969 (71.240)
Epoch: [43][3580/5005] Time 0.208 (0.210) Data 0.043 (0.046) Loss 2.4143 (2.3904) Prec@1 48.828 (45.773) Prec@5 66.406 (71.239)
Epoch: [43][3590/5005] Time 0.208 (0.210) Data 0.041 (0.046) Loss 2.4329 (2.3902) Prec@1 42.578 (45.778) Prec@5 67.578 (71.241)
Epoch: [43][3600/5005] Time 0.210 (0.210) Data 0.040 (0.046) Loss 2.5164 (2.3900) Prec@1 46.875 (45.783) Prec@5 68.750 (71.244)
Epoch: [43][3610/5005] Time 0.204 (0.210) Data 0.042 (0.046) Loss 2.3665 (2.3902) Prec@1 47.266 (45.779) Prec@5 74.219 (71.242)
Epoch: [43][3620/5005] Time 0.208 (0.210) Data 0.041 (0.046) Loss 2.5338 (2.3900) Prec@1 42.578 (45.781) Prec@5 68.750 (71.246)
Epoch: [43][3630/5005] Time 0.204 (0.210) Data 0.041 (0.046) Loss 2.6211 (2.3900) Prec@1 42.578 (45.782) Prec@5 65.234 (71.244)
Epoch: [43][3640/5005] Time 0.208 (0.210) Data 0.039 (0.046) Loss 2.3429 (2.3899) Prec@1 46.875 (45.782) Prec@5 69.141 (71.244)
Epoch: [43][3650/5005] Time 0.210 (0.210) Data 0.042 (0.046) Loss 2.1247 (2.3900) Prec@1 48.828 (45.783) Prec@5 76.953 (71.244)
Epoch: [43][3660/5005] Time 0.211 (0.210) Data 0.041 (0.046) Loss 2.4327 (2.3897) Prec@1 44.141 (45.786) Prec@5 69.531 (71.250)
Epoch: [43][3670/5005] Time 0.212 (0.210) Data 0.043 (0.046) Loss 2.4681 (2.3897) Prec@1 42.969 (45.782) Prec@5 70.703 (71.252)
Epoch: [43][3680/5005] Time 0.208 (0.210) Data 0.045 (0.046) Loss 2.2303 (2.3897) Prec@1 48.047 (45.783) Prec@5 75.781 (71.253)
Epoch: [43][3690/5005] Time 0.204 (0.210) Data 0.049 (0.046) Loss 2.2353 (2.3897) Prec@1 47.266 (45.784) Prec@5 74.219 (71.252)
Epoch: [43][3700/5005] Time 0.212 (0.210) Data 0.047 (0.046) Loss 2.3706 (2.3898) Prec@1 47.266 (45.782) Prec@5 73.047 (71.251)
Epoch: [43][3710/5005] Time 0.218 (0.210) Data 0.045 (0.046) Loss 2.2385 (2.3899) Prec@1 50.781 (45.783) Prec@5 75.391 (71.251)
Epoch: [43][3720/5005] Time 0.203 (0.210) Data 0.050 (0.046) Loss 2.6342 (2.3899) Prec@1 44.141 (45.782) Prec@5 66.406 (71.249)
Epoch: [43][3730/5005] Time 0.201 (0.210) Data 0.053 (0.046) Loss 2.3206 (2.3898) Prec@1 49.219 (45.786) Prec@5 72.266 (71.250)
Epoch: [43][3740/5005] Time 0.210 (0.210) Data 0.048 (0.046) Loss 2.3265 (2.3895) Prec@1 49.219 (45.791) Prec@5 71.875 (71.255)
Epoch: [43][3750/5005] Time 0.209 (0.210) Data 0.046 (0.046) Loss 2.1906 (2.3896) Prec@1 51.172 (45.792) Prec@5 75.000 (71.253)
Epoch: [43][3760/5005] Time 0.209 (0.209) Data 0.040 (0.046) Loss 2.4694 (2.3897) Prec@1 42.188 (45.789) Prec@5 66.797 (71.248)
Epoch: [43][3770/5005] Time 0.218 (0.209) Data 0.043 (0.046) Loss 2.4255 (2.3895) Prec@1 46.875 (45.792) Prec@5 69.141 (71.252)
Epoch: [43][3780/5005] Time 0.213 (0.209) Data 0.043 (0.046) Loss 2.4078 (2.3895) Prec@1 45.703 (45.791) Prec@5 72.266 (71.252)
Epoch: [43][3790/5005] Time 0.207 (0.209) Data 0.040 (0.046) Loss 2.7616 (2.3896) Prec@1 42.188 (45.790) Prec@5 65.625 (71.250)
Epoch: [43][3800/5005] Time 0.207 (0.209) Data 0.047 (0.046) Loss 2.3013 (2.3897) Prec@1 46.484 (45.790) Prec@5 71.484 (71.252)
Epoch: [43][3810/5005] Time 0.203 (0.209) Data 0.042 (0.046) Loss 2.3262 (2.3897) Prec@1 48.047 (45.787) Prec@5 71.094 (71.249)
Epoch: [43][3820/5005] Time 0.213 (0.209) Data 0.063 (0.046) Loss 2.2465 (2.3895) Prec@1 49.609 (45.790) Prec@5 73.047 (71.255)
Epoch: [43][3830/5005] Time 0.207 (0.209) Data 0.042 (0.046) Loss 2.3791 (2.3893) Prec@1 45.703 (45.792) Prec@5 70.703 (71.256)
Epoch: [43][3840/5005] Time 0.208 (0.209) Data 0.040 (0.046) Loss 2.7462 (2.3894) Prec@1 39.062 (45.792) Prec@5 65.625 (71.254)
Epoch: [43][3850/5005] Time 1.505 (0.210) Data 0.041 (0.046) Loss 2.4814 (2.3893) Prec@1 44.922 (45.791) Prec@5 71.484 (71.258)
Epoch: [43][3860/5005] Time 0.195 (0.210) Data 0.056 (0.046) Loss 2.2387 (2.3893) Prec@1 48.828 (45.791) Prec@5 71.875 (71.258)
Epoch: [43][3870/5005] Time 0.200 (0.210) Data 0.051 (0.046) Loss 2.3447 (2.3893) Prec@1 46.094 (45.790) Prec@5 71.875 (71.260)
Epoch: [43][3880/5005] Time 0.203 (0.210) Data 0.046 (0.046) Loss 2.2981 (2.3893) Prec@1 50.781 (45.790) Prec@5 74.219 (71.258)
Epoch: [43][3890/5005] Time 0.193 (0.210) Data 0.043 (0.046) Loss 2.6095 (2.3893) Prec@1 41.797 (45.792) Prec@5 66.797 (71.258)
Epoch: [43][3900/5005] Time 0.204 (0.210) Data 0.040 (0.046) Loss 2.6095 (2.3893) Prec@1 45.703 (45.792) Prec@5 70.312 (71.260)
Epoch: [43][3910/5005] Time 0.209 (0.210) Data 0.043 (0.046) Loss 2.3390 (2.3892) Prec@1 44.922 (45.792) Prec@5 72.266 (71.260)
Epoch: [43][3920/5005] Time 0.206 (0.210) Data 0.042 (0.046) Loss 2.3689 (2.3892) Prec@1 47.656 (45.794) Prec@5 71.484 (71.258)
Epoch: [43][3930/5005] Time 0.210 (0.210) Data 0.044 (0.046) Loss 2.3416 (2.3892) Prec@1 47.656 (45.794) Prec@5 73.047 (71.260)
Epoch: [43][3940/5005] Time 0.200 (0.210) Data 0.042 (0.046) Loss 2.3800 (2.3891) Prec@1 46.484 (45.795) Prec@5 69.922 (71.259)
Epoch: [43][3950/5005] Time 0.207 (0.210) Data 0.050 (0.046) Loss 2.2889 (2.3889) Prec@1 46.875 (45.801) Prec@5 74.609 (71.261)
Epoch: [43][3960/5005] Time 0.210 (0.210) Data 0.041 (0.046) Loss 2.3182 (2.3890) Prec@1 47.656 (45.799) Prec@5 73.828 (71.261)
Epoch: [43][3970/5005] Time 0.212 (0.210) Data 0.041 (0.046) Loss 2.3593 (2.3889) Prec@1 48.828 (45.800) Prec@5 72.266 (71.262)
Epoch: [43][3980/5005] Time 0.212 (0.210) Data 0.043 (0.046) Loss 2.1820 (2.3888) Prec@1 48.047 (45.802) Prec@5 74.219 (71.263)
Epoch: [43][3990/5005] Time 0.201 (0.210) Data 0.049 (0.046) Loss 2.5473 (2.3889) Prec@1 44.922 (45.800) Prec@5 67.969 (71.262)
Epoch: [43][4000/5005] Time 0.210 (0.210) Data 0.059 (0.046) Loss 2.2985 (2.3889) Prec@1 44.531 (45.799) Prec@5 72.656 (71.261)
Epoch: [43][4010/5005] Time 0.200 (0.210) Data 0.043 (0.046) Loss 2.4877 (2.3887) Prec@1 45.703 (45.803) Prec@5 68.359 (71.265)
Epoch: [43][4020/5005] Time 0.209 (0.210) Data 0.040 (0.046) Loss 2.6402 (2.3887) Prec@1 42.969 (45.801) Prec@5 69.141 (71.266)
Epoch: [43][4030/5005] Time 0.207 (0.210) Data 0.051 (0.046) Loss 2.6496 (2.3890) Prec@1 41.797 (45.799) Prec@5 66.797 (71.261)
Epoch: [43][4040/5005] Time 0.207 (0.210) Data 0.043 (0.046) Loss 2.3492 (2.3891) Prec@1 49.609 (45.798) Prec@5 67.578 (71.259)
Epoch: [43][4050/5005] Time 0.211 (0.210) Data 0.042 (0.046) Loss 2.5379 (2.3890) Prec@1 44.141 (45.799) Prec@5 67.969 (71.262)
Epoch: [43][4060/5005] Time 0.211 (0.210) Data 0.046 (0.046) Loss 2.2889 (2.3890) Prec@1 48.047 (45.799) Prec@5 70.703 (71.262)
Epoch: [43][4070/5005] Time 0.213 (0.210) Data 0.043 (0.046) Loss 2.5789 (2.3890) Prec@1 47.266 (45.802) Prec@5 69.531 (71.264)
Epoch: [43][4080/5005] Time 0.205 (0.210) Data 0.046 (0.046) Loss 2.3433 (2.3890) Prec@1 46.094 (45.803) Prec@5 72.266 (71.263)
Epoch: [43][4090/5005] Time 0.209 (0.210) Data 0.041 (0.046) Loss 2.5601 (2.3889) Prec@1 42.969 (45.803) Prec@5 66.016 (71.262)
Epoch: [43][4100/5005] Time 0.212 (0.210) Data 0.042 (0.046) Loss 2.3294 (2.3888) Prec@1 47.656 (45.805) Prec@5 73.438 (71.263)
Epoch: [43][4110/5005] Time 0.208 (0.210) Data 0.046 (0.046) Loss 2.5536 (2.3888) Prec@1 46.484 (45.804) Prec@5 68.359 (71.261)
Epoch: [43][4120/5005] Time 0.208 (0.210) Data 0.044 (0.046) Loss 2.5139 (2.3887) Prec@1 41.797 (45.805) Prec@5 68.750 (71.262)
Epoch: [43][4130/5005] Time 0.205 (0.210) Data 0.043 (0.046) Loss 2.5955 (2.3887) Prec@1 42.188 (45.804) Prec@5 67.578 (71.264)
Epoch: [43][4140/5005] Time 0.209 (0.210) Data 0.041 (0.046) Loss 2.5175 (2.3887) Prec@1 44.531 (45.806) Prec@5 66.406 (71.264)
Epoch: [43][4150/5005] Time 0.205 (0.210) Data 0.042 (0.046) Loss 2.6468 (2.3888) Prec@1 41.797 (45.802) Prec@5 67.188 (71.266)
Epoch: [43][4160/5005] Time 0.201 (0.210) Data 0.058 (0.046) Loss 2.2273 (2.3888) Prec@1 50.000 (45.802) Prec@5 73.047 (71.265)
Epoch: [43][4170/5005] Time 0.201 (0.210) Data 0.045 (0.046) Loss 2.2909 (2.3887) Prec@1 47.656 (45.807) Prec@5 73.438 (71.267)
Epoch: [43][4180/5005] Time 0.214 (0.210) Data 0.050 (0.046) Loss 2.2349 (2.3887) Prec@1 52.734 (45.808) Prec@5 72.656 (71.267)
Epoch: [43][4190/5005] Time 0.210 (0.210) Data 0.046 (0.046) Loss 2.2523 (2.3887) Prec@1 47.656 (45.807) Prec@5 73.828 (71.268)
Epoch: [43][4200/5005] Time 0.205 (0.209) Data 0.050 (0.046) Loss 2.2888 (2.3886) Prec@1 43.359 (45.808) Prec@5 75.391 (71.270)
Epoch: [43][4210/5005] Time 0.198 (0.209) Data 0.045 (0.046) Loss 2.3927 (2.3886) Prec@1 44.922 (45.808) Prec@5 68.359 (71.269)
Epoch: [43][4220/5005] Time 0.208 (0.209) Data 0.042 (0.046) Loss 2.6204 (2.3887) Prec@1 37.891 (45.802) Prec@5 69.531 (71.266)
Epoch: [43][4230/5005] Time 0.210 (0.209) Data 0.041 (0.046) Loss 2.4231 (2.3887) Prec@1 44.531 (45.800) Prec@5 69.531 (71.265)
Epoch: [43][4240/5005] Time 0.212 (0.209) Data 0.046 (0.046) Loss 2.2139 (2.3888) Prec@1 45.703 (45.798) Prec@5 75.000 (71.265)
Epoch: [43][4250/5005] Time 0.210 (0.209) Data 0.051 (0.046) Loss 2.2051 (2.3886) Prec@1 46.875 (45.801) Prec@5 75.000 (71.266)
Epoch: [43][4260/5005] Time 0.201 (0.209) Data 0.037 (0.046) Loss 2.3319 (2.3886) Prec@1 45.312 (45.801) Prec@5 72.656 (71.266)
Epoch: [43][4270/5005] Time 0.210 (0.209) Data 0.047 (0.046) Loss 2.6295 (2.3887) Prec@1 42.969 (45.800) Prec@5 68.359 (71.264)
Epoch: [43][4280/5005] Time 0.208 (0.209) Data 0.045 (0.046) Loss 2.4482 (2.3887) Prec@1 46.484 (45.799) Prec@5 70.703 (71.265)
Epoch: [43][4290/5005] Time 0.204 (0.209) Data 0.042 (0.046) Loss 2.5311 (2.3887) Prec@1 46.484 (45.798) Prec@5 67.578 (71.265)
Epoch: [43][4300/5005] Time 0.206 (0.209) Data 0.044 (0.046) Loss 2.3443 (2.3886) Prec@1 44.141 (45.799) Prec@5 73.438 (71.268)
Epoch: [43][4310/5005] Time 0.201 (0.209) Data 0.042 (0.046) Loss 2.3278 (2.3887) Prec@1 47.656 (45.800) Prec@5 72.656 (71.268)
Epoch: [43][4320/5005] Time 0.205 (0.209) Data 0.042 (0.046) Loss 2.4090 (2.3888) Prec@1 48.828 (45.798) Prec@5 72.266 (71.266)
Epoch: [43][4330/5005] Time 0.213 (0.209) Data 0.044 (0.046) Loss 2.2909 (2.3887) Prec@1 47.266 (45.798) Prec@5 72.266 (71.267)
Epoch: [43][4340/5005] Time 0.211 (0.209) Data 0.042 (0.046) Loss 2.4921 (2.3889) Prec@1 40.234 (45.797) Prec@5 70.312 (71.268)
Epoch: [43][4350/5005] Time 0.210 (0.209) Data 0.041 (0.046) Loss 2.5747 (2.3888) Prec@1 43.750 (45.797) Prec@5 71.875 (71.270)
Epoch: [43][4360/5005] Time 0.213 (0.209) Data 0.045 (0.046) Loss 2.2774 (2.3887) Prec@1 46.094 (45.797) Prec@5 73.828 (71.272)
Epoch: [43][4370/5005] Time 0.210 (0.209) Data 0.044 (0.046) Loss 2.3176 (2.3887) Prec@1 51.562 (45.801) Prec@5 71.484 (71.272)
Epoch: [43][4380/5005] Time 0.211 (0.209) Data 0.043 (0.046) Loss 2.4945 (2.3887) Prec@1 43.359 (45.799) Prec@5 68.359 (71.272)
Epoch: [43][4390/5005] Time 0.210 (0.209) Data 0.042 (0.046) Loss 2.3436 (2.3886) Prec@1 46.484 (45.804) Prec@5 71.484 (71.275)
Epoch: [43][4400/5005] Time 0.213 (0.209) Data 0.045 (0.046) Loss 2.3155 (2.3885) Prec@1 44.922 (45.804) Prec@5 72.266 (71.274)
Epoch: [43][4410/5005] Time 0.212 (0.209) Data 0.043 (0.046) Loss 2.3212 (2.3884) Prec@1 44.531 (45.802) Prec@5 73.828 (71.274)
Epoch: [43][4420/5005] Time 0.210 (0.209) Data 0.042 (0.046) Loss 2.1247 (2.3884) Prec@1 49.609 (45.801) Prec@5 73.047 (71.273)
Epoch: [43][4430/5005] Time 0.209 (0.209) Data 0.040 (0.046) Loss 2.3352 (2.3881) Prec@1 46.484 (45.809) Prec@5 69.531 (71.277)
Epoch: [43][4440/5005] Time 0.210 (0.209) Data 0.039 (0.046) Loss 2.3547 (2.3880) Prec@1 47.266 (45.811) Prec@5 71.875 (71.279)
Epoch: [43][4450/5005] Time 0.204 (0.209) Data 0.044 (0.046) Loss 2.0880 (2.3879) Prec@1 49.219 (45.812) Prec@5 76.953 (71.281)
Epoch: [43][4460/5005] Time 0.212 (0.209) Data 0.043 (0.046) Loss 2.4909 (2.3878) Prec@1 43.359 (45.812) Prec@5 70.703 (71.282)
Epoch: [43][4470/5005] Time 0.205 (0.209) Data 0.048 (0.046) Loss 2.3659 (2.3880) Prec@1 42.969 (45.809) Prec@5 72.266 (71.280)
Epoch: [43][4480/5005] Time 0.201 (0.209) Data 0.042 (0.046) Loss 2.3168 (2.3881) Prec@1 46.484 (45.808) Prec@5 70.312 (71.278)
Epoch: [43][4490/5005] Time 0.203 (0.209) Data 0.046 (0.046) Loss 2.3249 (2.3882) Prec@1 43.359 (45.804) Prec@5 70.312 (71.277)
Epoch: [43][4500/5005] Time 0.192 (0.209) Data 0.049 (0.046) Loss 2.2665 (2.3882) Prec@1 47.656 (45.804) Prec@5 75.781 (71.278)
Epoch: [43][4510/5005] Time 0.211 (0.209) Data 0.044 (0.046) Loss 2.2281 (2.3882) Prec@1 50.000 (45.803) Prec@5 75.391 (71.278)
Epoch: [43][4520/5005] Time 0.203 (0.209) Data 0.043 (0.046) Loss 2.4216 (2.3882) Prec@1 42.969 (45.803) Prec@5 70.703 (71.278)
Epoch: [43][4530/5005] Time 0.209 (0.209) Data 0.047 (0.046) Loss 2.1812 (2.3881) Prec@1 49.219 (45.806) Prec@5 73.047 (71.279)
Epoch: [43][4540/5005] Time 0.206 (0.209) Data 0.041 (0.046) Loss 2.4901 (2.3882) Prec@1 44.531 (45.806) Prec@5 69.531 (71.277)
Epoch: [43][4550/5005] Time 0.208 (0.209) Data 0.050 (0.046) Loss 2.4476 (2.3881) Prec@1 43.750 (45.806) Prec@5 71.875 (71.278)
Epoch: [43][4560/5005] Time 0.214 (0.209) Data 0.043 (0.046) Loss 2.3733 (2.3880) Prec@1 44.531 (45.807) Prec@5 74.219 (71.279)
Epoch: [43][4570/5005] Time 0.204 (0.209) Data 0.040 (0.046) Loss 2.4471 (2.3880) Prec@1 47.266 (45.807) Prec@5 69.531 (71.278)
Epoch: [43][4580/5005] Time 0.216 (0.209) Data 0.046 (0.046) Loss 2.5561 (2.3879) Prec@1 37.891 (45.811) Prec@5 69.141 (71.278)
Epoch: [43][4590/5005] Time 0.203 (0.209) Data 0.048 (0.046) Loss 2.2484 (2.3879) Prec@1 51.953 (45.811) Prec@5 74.219 (71.277)
Epoch: [43][4600/5005] Time 0.214 (0.209) Data 0.041 (0.046) Loss 2.2150 (2.3879) Prec@1 48.047 (45.812) Prec@5 73.828 (71.276)
Epoch: [43][4610/5005] Time 0.204 (0.209) Data 0.041 (0.046) Loss 2.2163 (2.3879) Prec@1 48.828 (45.815) Prec@5 74.609 (71.276)
Epoch: [43][4620/5005] Time 0.203 (0.209) Data 0.046 (0.046) Loss 2.2938 (2.3879) Prec@1 50.000 (45.816) Prec@5 72.656 (71.275)
Epoch: [43][4630/5005] Time 0.209 (0.209) Data 0.041 (0.046) Loss 2.2256 (2.3878) Prec@1 50.781 (45.816) Prec@5 74.219 (71.278)
Epoch: [43][4640/5005] Time 0.209 (0.209) Data 0.043 (0.046) Loss 2.4776 (2.3878) Prec@1 43.750 (45.816) Prec@5 70.703 (71.278)
Epoch: [43][4650/5005] Time 0.210 (0.209) Data 0.039 (0.046) Loss 2.2694 (2.3877) Prec@1 44.141 (45.815) Prec@5 71.484 (71.278)
Epoch: [43][4660/5005] Time 0.206 (0.209) Data 0.048 (0.046) Loss 2.6181 (2.3877) Prec@1 42.578 (45.816) Prec@5 64.844 (71.276)
Epoch: [43][4670/5005] Time 0.209 (0.209) Data 0.042 (0.046) Loss 2.2394 (2.3876) Prec@1 50.391 (45.819) Prec@5 74.219 (71.276)
Epoch: [43][4680/5005] Time 0.203 (0.209) Data 0.046 (0.046) Loss 2.2891 (2.3876) Prec@1 45.703 (45.818) Prec@5 73.828 (71.277)
Epoch: [43][4690/5005] Time 0.200 (0.209) Data 0.047 (0.046) Loss 2.2975 (2.3876) Prec@1 46.875 (45.817) Prec@5 74.609 (71.276)
Epoch: [43][4700/5005] Time 0.203 (0.209) Data 0.041 (0.046) Loss 2.2499 (2.3876) Prec@1 50.781 (45.820) Prec@5 73.828 (71.277)
Epoch: [43][4710/5005] Time 0.203 (0.209) Data 0.057 (0.046) Loss 2.2467 (2.3874) Prec@1 50.000 (45.822) Prec@5 73.438 (71.281)
Epoch: [43][4720/5005] Time 0.207 (0.209) Data 0.055 (0.046) Loss 2.2651 (2.3874) Prec@1 49.219 (45.822) Prec@5 76.562 (71.283)
Epoch: [43][4730/5005] Time 0.207 (0.209) Data 0.042 (0.046) Loss 2.3514 (2.3875) Prec@1 45.703 (45.819) Prec@5 73.438 (71.281)
Epoch: [43][4740/5005] Time 0.209 (0.209) Data 0.043 (0.046) Loss 2.3949 (2.3875) Prec@1 40.625 (45.819) Prec@5 69.922 (71.281)
Epoch: [43][4750/5005] Time 0.211 (0.209) Data 0.043 (0.046) Loss 2.2347 (2.3874) Prec@1 44.922 (45.819) Prec@5 72.656 (71.283)
Epoch: [43][4760/5005] Time 0.216 (0.209) Data 0.046 (0.046) Loss 2.5080 (2.3873) Prec@1 46.875 (45.824) Prec@5 68.750 (71.283)
Epoch: [43][4770/5005] Time 0.209 (0.209) Data 0.043 (0.046) Loss 2.3192 (2.3872) Prec@1 44.531 (45.823) Prec@5 68.750 (71.283)
Epoch: [43][4780/5005] Time 0.213 (0.209) Data 0.044 (0.046) Loss 2.3936 (2.3873) Prec@1 46.094 (45.825) Prec@5 69.141 (71.280)
Epoch: [43][4790/5005] Time 0.201 (0.209) Data 0.040 (0.046) Loss 2.6394 (2.3873) Prec@1 42.969 (45.826) Prec@5 66.797 (71.281)
Epoch: [43][4800/5005] Time 0.202 (0.209) Data 0.039 (0.046) Loss 2.4366 (2.3872) Prec@1 42.578 (45.825) Prec@5 70.703 (71.283)
Epoch: [43][4810/5005] Time 0.206 (0.209) Data 0.043 (0.046) Loss 2.3633 (2.3872) Prec@1 44.531 (45.826) Prec@5 73.828 (71.285)
Epoch: [43][4820/5005] Time 0.206 (0.209) Data 0.043 (0.046) Loss 2.5274 (2.3871) Prec@1 42.578 (45.828) Prec@5 69.141 (71.286)
Epoch: [43][4830/5005] Time 0.210 (0.209) Data 0.041 (0.046) Loss 2.2731 (2.3869) Prec@1 46.484 (45.831) Prec@5 72.266 (71.288)
Epoch: [43][4840/5005] Time 0.208 (0.209) Data 0.042 (0.046) Loss 2.2469 (2.3870) Prec@1 48.047 (45.829) Prec@5 73.438 (71.286)
Epoch: [43][4850/5005] Time 0.205 (0.209) Data 0.053 (0.046) Loss 2.4681 (2.3871) Prec@1 41.797 (45.825) Prec@5 68.750 (71.284)
Epoch: [43][4860/5005] Time 0.206 (0.209) Data 0.043 (0.046) Loss 2.2828 (2.3870) Prec@1 51.562 (45.828) Prec@5 74.219 (71.285)
Epoch: [43][4870/5005] Time 0.205 (0.209) Data 0.057 (0.046) Loss 2.3190 (2.3870) Prec@1 48.438 (45.829) Prec@5 71.875 (71.285)
Epoch: [43][4880/5005] Time 0.201 (0.209) Data 0.040 (0.046) Loss 2.2556 (2.3870) Prec@1 48.047 (45.829) Prec@5 74.219 (71.285)
Epoch: [43][4890/5005] Time 0.198 (0.209) Data 0.044 (0.046) Loss 2.5847 (2.3869) Prec@1 48.438 (45.833) Prec@5 68.359 (71.286)
Epoch: [43][4900/5005] Time 0.203 (0.209) Data 0.039 (0.046) Loss 2.2588 (2.3868) Prec@1 46.875 (45.834) Prec@5 73.828 (71.287)
Epoch: [43][4910/5005] Time 0.215 (0.209) Data 0.048 (0.046) Loss 2.4982 (2.3866) Prec@1 46.094 (45.837) Prec@5 68.750 (71.291)
Epoch: [43][4920/5005] Time 0.202 (0.209) Data 0.051 (0.046) Loss 2.1510 (2.3865) Prec@1 48.047 (45.839) Prec@5 75.391 (71.293)
Epoch: [43][4930/5005] Time 0.207 (0.209) Data 0.046 (0.046) Loss 2.5787 (2.3864) Prec@1 42.188 (45.838) Prec@5 66.797 (71.295)
Epoch: [43][4940/5005] Time 0.207 (0.209) Data 0.046 (0.046) Loss 2.3578 (2.3865) Prec@1 45.312 (45.836) Prec@5 71.484 (71.293)
Epoch: [43][4950/5005] Time 0.209 (0.209) Data 0.042 (0.046) Loss 2.1245 (2.3866) Prec@1 49.609 (45.833) Prec@5 76.953 (71.292)
Epoch: [43][4960/5005] Time 0.200 (0.209) Data 0.061 (0.046) Loss 2.3782 (2.3865) Prec@1 46.875 (45.834) Prec@5 73.438 (71.294)
Epoch: [43][4970/5005] Time 0.194 (0.209) Data 0.042 (0.046) Loss 2.4228 (2.3864) Prec@1 46.094 (45.834) Prec@5 69.922 (71.295)
Epoch: [43][4980/5005] Time 0.214 (0.209) Data 0.042 (0.046) Loss 2.4429 (2.3862) Prec@1 49.219 (45.838) Prec@5 72.656 (71.299)
Epoch: [43][4990/5005] Time 0.201 (0.209) Data 0.023 (0.046) Loss 2.5344 (2.3862) Prec@1 37.891 (45.838) Prec@5 66.797 (71.299)
Epoch: [43][5000/5005] Time 0.209 (0.209) Data 0.020 (0.046) Loss 2.5201 (2.3861) Prec@1 42.188 (45.839) Prec@5 67.969 (71.300)
Test: [0/196] Time 1.303 (1.303) Loss 2.4342 (2.4342) Prec@1 48.047 (48.047) Prec@5 68.750 (68.750)
Test: [10/196] Time 0.045 (0.288) Loss 2.4921 (2.5939) Prec@1 45.312 (43.359) Prec@5 69.531 (68.395)
Test: [20/196] Time 0.042 (0.233) Loss 2.4875 (2.5991) Prec@1 44.922 (42.839) Prec@5 71.094 (68.341)
Test: [30/196] Time 0.096 (0.216) Loss 2.5218 (2.6060) Prec@1 42.578 (42.465) Prec@5 67.578 (67.918)
Test: [40/196] Time 0.268 (0.205) Loss 2.3691 (2.6008) Prec@1 50.000 (42.816) Prec@5 73.047 (67.921)
Test: [50/196] Time 0.096 (0.193) Loss 2.6905 (2.6073) Prec@1 42.188 (42.670) Prec@5 69.531 (68.038)
Test: [60/196] Time 0.262 (0.190) Loss 2.4790 (2.5945) Prec@1 46.484 (43.020) Prec@5 69.922 (68.276)
Test: [70/196] Time 0.045 (0.196) Loss 2.5728 (2.5895) Prec@1 45.703 (43.035) Prec@5 68.750 (68.469)
Test: [80/196] Time 0.095 (0.191) Loss 2.4288 (2.5942) Prec@1 48.438 (43.046) Prec@5 74.219 (68.470)
Test: [90/196] Time 0.045 (0.184) Loss 2.6902 (2.5968) Prec@1 43.750 (42.973) Prec@5 66.406 (68.385)
Test: [100/196] Time 0.046 (0.184) Loss 2.6987 (2.5950) Prec@1 44.141 (43.116) Prec@5 65.234 (68.410)
Test: [110/196] Time 1.105 (0.190) Loss 2.8011 (2.5973) Prec@1 40.625 (43.131) Prec@5 66.406 (68.458)
Test: [120/196] Time 0.251 (0.183) Loss 2.3962 (2.5931) Prec@1 46.094 (43.324) Prec@5 72.656 (68.489)
Test: [130/196] Time 0.042 (0.181) Loss 2.2415 (2.5896) Prec@1 47.266 (43.333) Prec@5 76.953 (68.583)
Test: [140/196] Time 0.257 (0.181) Loss 2.4004 (2.5916) Prec@1 46.484 (43.287) Prec@5 70.703 (68.526)
Test: [150/196] Time 0.622 (0.182) Loss 2.2758 (2.5900) Prec@1 44.141 (43.315) Prec@5 76.562 (68.577)
Test: [160/196] Time 0.082 (0.183) Loss 2.5249 (2.5875) Prec@1 47.656 (43.347) Prec@5 68.750 (68.587)
Test: [170/196] Time 0.149 (0.180) Loss 2.4614 (2.5898) Prec@1 44.531 (43.318) Prec@5 71.875 (68.590)
Test: [180/196] Time 0.043 (0.179) Loss 2.7965 (2.5952) Prec@1 41.016 (43.198) Prec@5 64.062 (68.435)
Test: [190/196] Time 0.042 (0.178) Loss 2.8300 (2.5983) Prec@1 41.797 (43.163) Prec@5 64.062 (68.300)
* Prec@1 43.160 Prec@5 68.294
Learning rate: 0.0001
Epoch: [44][0/5005] Time 1.062 (1.062) Data 0.965 (0.965) Loss 2.4003 (2.4003) Prec@1 45.312 (45.312) Prec@5 71.484 (71.484)
Epoch: [44][10/5005] Time 0.193 (0.283) Data 0.045 (0.132) Loss 2.3167 (2.3663) Prec@1 46.484 (45.348) Prec@5 73.828 (72.798)
Epoch: [44][20/5005] Time 0.211 (0.245) Data 0.043 (0.090) Loss 2.4911 (2.3872) Prec@1 46.094 (44.717) Prec@5 71.484 (72.284)
Epoch: [44][30/5005] Time 0.203 (0.231) Data 0.042 (0.075) Loss 2.3287 (2.3514) Prec@1 43.750 (45.451) Prec@5 73.047 (72.555)
Epoch: [44][40/5005] Time 0.209 (0.225) Data 0.043 (0.067) Loss 2.2798 (2.3665) Prec@1 45.703 (45.322) Prec@5 73.047 (72.113)
Epoch: [44][50/5005] Time 0.213 (0.221) Data 0.042 (0.062) Loss 2.2496 (2.3687) Prec@1 48.438 (45.412) Prec@5 76.953 (72.074)
Epoch: [44][60/5005] Time 0.199 (0.218) Data 0.042 (0.059) Loss 2.2780 (2.3664) Prec@1 47.266 (45.549) Prec@5 74.609 (72.048)
Epoch: [44][70/5005] Time 0.201 (0.216) Data 0.057 (0.058) Loss 2.4366 (2.3836) Prec@1 43.750 (45.351) Prec@5 69.141 (71.704)
Epoch: [44][80/5005] Time 0.202 (0.214) Data 0.055 (0.057) Loss 2.1902 (2.3803) Prec@1 47.266 (45.308) Prec@5 75.000 (71.846)
Epoch: [44][90/5005] Time 0.198 (0.212) Data 0.059 (0.057) Loss 2.4446 (2.3813) Prec@1 43.750 (45.385) Prec@5 70.703 (71.738)
Epoch: [44][100/5005] Time 0.206 (0.211) Data 0.044 (0.056) Loss 2.1589 (2.3848) Prec@1 46.484 (45.459) Prec@5 72.656 (71.569)
Epoch: [44][110/5005] Time 0.201 (0.210) Data 0.042 (0.056) Loss 2.3990 (2.3864) Prec@1 48.047 (45.605) Prec@5 71.094 (71.572)
Epoch: [44][120/5005] Time 0.190 (0.209) Data 0.050 (0.055) Loss 2.4260 (2.3893) Prec@1 41.406 (45.580) Prec@5 71.094 (71.442)
Epoch: [44][130/5005] Time 0.201 (0.209) Data 0.040 (0.054) Loss 2.3686 (2.3885) Prec@1 47.656 (45.551) Prec@5 72.266 (71.475)
Epoch: [44][140/5005] Time 0.207 (0.208) Data 0.058 (0.054) Loss 2.4803 (2.3876) Prec@1 49.219 (45.515) Prec@5 69.141 (71.482)
Epoch: [44][150/5005] Time 0.204 (0.208) Data 0.042 (0.053) Loss 2.4416 (2.3884) Prec@1 46.484 (45.561) Prec@5 72.266 (71.500)
Epoch: [44][160/5005] Time 0.210 (0.208) Data 0.046 (0.053) Loss 2.3895 (2.3896) Prec@1 45.312 (45.519) Prec@5 69.922 (71.492)
Epoch: [44][170/5005] Time 0.210 (0.208) Data 0.041 (0.053) Loss 2.3758 (2.3914) Prec@1 49.219 (45.527) Prec@5 71.875 (71.400)
Epoch: [44][180/5005] Time 0.222 (0.208) Data 0.044 (0.052) Loss 2.6176 (2.3918) Prec@1 44.141 (45.539) Prec@5 65.625 (71.433)
Epoch: [44][190/5005] Time 0.217 (0.209) Data 0.044 (0.052) Loss 2.4607 (2.3971) Prec@1 42.578 (45.417) Prec@5 69.531 (71.366)
Epoch: [44][200/5005] Time 0.222 (0.209) Data 0.049 (0.051) Loss 2.4976 (2.3977) Prec@1 43.750 (45.443) Prec@5 66.797 (71.343)
Epoch: [44][210/5005] Time 0.220 (0.210) Data 0.048 (0.051) Loss 2.2232 (2.3980) Prec@1 48.047 (45.398) Prec@5 73.828 (71.329)
Epoch: [44][220/5005] Time 0.220 (0.210) Data 0.043 (0.051) Loss 2.4855 (2.3983) Prec@1 44.531 (45.404) Prec@5 72.266 (71.338)
Epoch: [44][230/5005] Time 0.214 (0.211) Data 0.052 (0.051) Loss 2.5478 (2.3983) Prec@1 43.750 (45.406) Prec@5 70.312 (71.334)
Epoch: [44][240/5005] Time 0.206 (0.211) Data 0.047 (0.051) Loss 2.3663 (2.3970) Prec@1 48.828 (45.424) Prec@5 71.875 (71.327)
Epoch: [44][250/5005] Time 0.212 (0.211) Data 0.061 (0.051) Loss 2.3500 (2.3952) Prec@1 42.578 (45.426) Prec@5 73.047 (71.357)
Epoch: [44][260/5005] Time 0.222 (0.211) Data 0.041 (0.051) Loss 2.3108 (2.3945) Prec@1 46.094 (45.416) Prec@5 74.219 (71.404)
Epoch: [44][270/5005] Time 0.210 (0.211) Data 0.043 (0.050) Loss 2.4477 (2.3947) Prec@1 47.656 (45.432) Prec@5 69.922 (71.398)
Epoch: [44][280/5005] Time 0.221 (0.211) Data 0.042 (0.050) Loss 2.8870 (2.3976) Prec@1 38.281 (45.410) Prec@5 57.812 (71.301)
Epoch: [44][290/5005] Time 0.216 (0.211) Data 0.044 (0.050) Loss 2.2807 (2.3987) Prec@1 50.000 (45.392) Prec@5 73.047 (71.275)
Epoch: [44][300/5005] Time 0.219 (0.212) Data 0.046 (0.050) Loss 2.2361 (2.3991) Prec@1 48.438 (45.436) Prec@5 75.391 (71.264)
Epoch: [44][310/5005] Time 0.208 (0.212) Data 0.045 (0.050) Loss 2.3598 (2.3964) Prec@1 46.094 (45.491) Prec@5 70.312 (71.277)
Epoch: [44][320/5005] Time 0.214 (0.212) Data 0.051 (0.050) Loss 2.5184 (2.3970) Prec@1 44.141 (45.515) Prec@5 67.188 (71.267)
Epoch: [44][330/5005] Time 0.214 (0.212) Data 0.043 (0.050) Loss 2.2273 (2.3962) Prec@1 46.484 (45.524) Prec@5 73.047 (71.274)
Epoch: [44][340/5005] Time 0.205 (0.212) Data 0.042 (0.050) Loss 2.5103 (2.3992) Prec@1 40.234 (45.468) Prec@5 66.406 (71.232)
Epoch: [44][350/5005] Time 0.219 (0.212) Data 0.041 (0.050) Loss 2.6380 (2.3979) Prec@1 43.359 (45.498) Prec@5 65.234 (71.258)
Epoch: [44][360/5005] Time 0.213 (0.212) Data 0.040 (0.050) Loss 2.4781 (2.3986) Prec@1 42.578 (45.501) Prec@5 66.016 (71.234)
Epoch: [44][370/5005] Time 0.217 (0.212) Data 0.042 (0.049) Loss 2.5200 (2.3971) Prec@1 41.406 (45.533) Prec@5 68.750 (71.245)
Epoch: [44][380/5005] Time 0.213 (0.212) Data 0.044 (0.049) Loss 2.4568 (2.3975) Prec@1 46.875 (45.564) Prec@5 68.750 (71.241)
Epoch: [44][390/5005] Time 0.213 (0.212) Data 0.043 (0.049) Loss 2.4028 (2.3982) Prec@1 50.000 (45.587) Prec@5 72.656 (71.226)
Epoch: [44][400/5005] Time 0.220 (0.212) Data 0.042 (0.049) Loss 2.2678 (2.3974) Prec@1 49.609 (45.609) Prec@5 71.875 (71.235)
Epoch: [44][410/5005] Time 0.215 (0.212) Data 0.042 (0.049) Loss 2.1892 (2.3967) Prec@1 47.266 (45.630) Prec@5 73.828 (71.249)
Epoch: [44][420/5005] Time 0.208 (0.212) Data 0.046 (0.049) Loss 2.3677 (2.3954) Prec@1 47.266 (45.688) Prec@5 71.094 (71.261)
Epoch: [44][430/5005] Time 0.224 (0.212) Data 0.042 (0.049) Loss 2.2022 (2.3949) Prec@1 51.562 (45.703) Prec@5 73.438 (71.274)
Epoch: [44][440/5005] Time 0.215 (0.212) Data 0.043 (0.049) Loss 2.2635 (2.3934) Prec@1 50.781 (45.713) Prec@5 73.047 (71.313)
Epoch: [44][450/5005] Time 0.217 (0.212) Data 0.047 (0.049) Loss 2.3442 (2.3947) Prec@1 45.703 (45.677) Prec@5 71.484 (71.277)
Epoch: [44][460/5005] Time 0.213 (0.212) Data 0.045 (0.049) Loss 2.5172 (2.3963) Prec@1 44.531 (45.631) Prec@5 69.141 (71.252)
Epoch: [44][470/5005] Time 0.216 (0.212) Data 0.043 (0.048) Loss 2.4698 (2.3975) Prec@1 41.797 (45.599) Prec@5 68.750 (71.214)
Epoch: [44][480/5005] Time 0.212 (0.212) Data 0.042 (0.048) Loss 2.4765 (2.3974) Prec@1 43.750 (45.617) Prec@5 68.750 (71.222)
Epoch: [44][490/5005] Time 0.204 (0.212) Data 0.044 (0.048) Loss 2.4217 (2.3971) Prec@1 47.266 (45.620) Prec@5 70.312 (71.225)
Epoch: [44][500/5005] Time 0.214 (0.212) Data 0.044 (0.048) Loss 2.6673 (2.3984) Prec@1 40.234 (45.610) Prec@5 66.016 (71.195)
Epoch: [44][510/5005] Time 0.212 (0.212) Data 0.042 (0.048) Loss 2.6988 (2.3989) Prec@1 41.797 (45.605) Prec@5 63.672 (71.185)
Epoch: [44][520/5005] Time 0.201 (0.212) Data 0.052 (0.048) Loss 2.3000 (2.3989) Prec@1 44.922 (45.596) Prec@5 71.094 (71.192)
Epoch: [44][530/5005] Time 0.202 (0.212) Data 0.045 (0.048) Loss 2.3643 (2.3996) Prec@1 47.266 (45.591) Prec@5 71.875 (71.173)
Epoch: [44][540/5005] Time 0.211 (0.212) Data 0.058 (0.048) Loss 2.6709 (2.4008) Prec@1 40.625 (45.576) Prec@5 65.625 (71.134)
Epoch: [44][550/5005] Time 0.210 (0.212) Data 0.042 (0.048) Loss 2.4018 (2.4005) Prec@1 42.578 (45.572) Prec@5 70.312 (71.117)
Epoch: [44][560/5005] Time 0.209 (0.212) Data 0.042 (0.048) Loss 2.5763 (2.4004) Prec@1 44.141 (45.589) Prec@5 68.359 (71.120)
Epoch: [44][570/5005] Time 0.213 (0.212) Data 0.049 (0.048) Loss 2.4985 (2.4011) Prec@1 45.312 (45.575) Prec@5 69.531 (71.109)
Epoch: [44][580/5005] Time 0.217 (0.212) Data 0.045 (0.048) Loss 2.4669 (2.4008) Prec@1 42.578 (45.580) Prec@5 68.750 (71.119)
Epoch: [44][590/5005] Time 0.207 (0.212) Data 0.046 (0.048) Loss 2.5335 (2.4011) Prec@1 41.406 (45.577) Prec@5 68.359 (71.095)
Epoch: [44][600/5005] Time 0.208 (0.212) Data 0.048 (0.048) Loss 2.4414 (2.4019) Prec@1 42.188 (45.569) Prec@5 69.922 (71.083)
Epoch: [44][610/5005] Time 0.201 (0.212) Data 0.048 (0.048) Loss 2.4082 (2.4016) Prec@1 47.656 (45.584) Prec@5 69.922 (71.080)
Epoch: [44][620/5005] Time 0.213 (0.212) Data 0.041 (0.048) Loss 2.3010 (2.4009) Prec@1 46.484 (45.604) Prec@5 74.219 (71.100)
Epoch: [44][630/5005] Time 0.204 (0.212) Data 0.063 (0.048) Loss 2.6197 (2.4007) Prec@1 43.359 (45.606) Prec@5 67.969 (71.104)
Epoch: [44][640/5005] Time 0.205 (0.212) Data 0.054 (0.048) Loss 2.4181 (2.4003) Prec@1 46.484 (45.610) Prec@5 69.922 (71.111)
Epoch: [44][650/5005] Time 0.210 (0.212) Data 0.052 (0.048) Loss 2.4662 (2.4011) Prec@1 41.406 (45.602) Prec@5 70.703 (71.101)
Epoch: [44][660/5005] Time 0.218 (0.212) Data 0.044 (0.048) Loss 2.5539 (2.4004) Prec@1 42.969 (45.609) Prec@5 72.266 (71.113)
Epoch: [44][670/5005] Time 0.203 (0.212) Data 0.063 (0.048) Loss 2.6614 (2.4007) Prec@1 42.578 (45.619) Prec@5 67.578 (71.102)
Epoch: [44][680/5005] Time 0.213 (0.212) Data 0.046 (0.048) Loss 2.3293 (2.4001) Prec@1 48.438 (45.614) Prec@5 73.828 (71.124)
Epoch: [44][690/5005] Time 0.200 (0.212) Data 0.053 (0.048) Loss 2.2090 (2.3995) Prec@1 47.656 (45.634) Prec@5 76.562 (71.130)
Epoch: [44][700/5005] Time 0.210 (0.212) Data 0.040 (0.048) Loss 2.4156 (2.3995) Prec@1 45.312 (45.645) Prec@5 70.312 (71.133)
Epoch: [44][710/5005] Time 0.219 (0.212) Data 0.052 (0.048) Loss 2.2742 (2.3996) Prec@1 44.141 (45.638) Prec@5 75.000 (71.124)
Epoch: [44][720/5005] Time 0.212 (0.212) Data 0.047 (0.048) Loss 2.2329 (2.3983) Prec@1 47.266 (45.659) Prec@5 75.391 (71.141)
Epoch: [44][730/5005] Time 0.216 (0.212) Data 0.045 (0.048) Loss 2.5315 (2.3984) Prec@1 41.406 (45.656) Prec@5 70.312 (71.134)
Epoch: [44][740/5005] Time 0.217 (0.212) Data 0.043 (0.048) Loss 2.3917 (2.3982) Prec@1 45.703 (45.660) Prec@5 69.922 (71.129)
Epoch: [44][750/5005] Time 0.217 (0.212) Data 0.044 (0.048) Loss 2.2957 (2.3980) Prec@1 47.266 (45.668) Prec@5 75.391 (71.141)
Epoch: [44][760/5005] Time 0.213 (0.212) Data 0.042 (0.048) Loss 2.5043 (2.3988) Prec@1 45.312 (45.644) Prec@5 69.141 (71.120)
Epoch: [44][770/5005] Time 0.212 (0.212) Data 0.043 (0.048) Loss 2.4286 (2.3975) Prec@1 44.141 (45.661) Prec@5 67.969 (71.128)
Epoch: [44][780/5005] Time 0.206 (0.212) Data 0.041 (0.048) Loss 2.4436 (2.3975) Prec@1 46.094 (45.664) Prec@5 70.703 (71.124)
Epoch: [44][790/5005] Time 0.214 (0.212) Data 0.040 (0.048) Loss 2.3920 (2.3971) Prec@1 46.484 (45.673) Prec@5 70.312 (71.146)
Epoch: [44][800/5005] Time 0.210 (0.212) Data 0.043 (0.048) Loss 2.2942 (2.3963) Prec@1 43.359 (45.691) Prec@5 73.438 (71.163)
Epoch: [44][810/5005] Time 0.208 (0.212) Data 0.043 (0.048) Loss 2.4157 (2.3963) Prec@1 44.141 (45.698) Prec@5 71.484 (71.174)
Epoch: [44][820/5005] Time 0.208 (0.212) Data 0.042 (0.048) Loss 2.5033 (2.3960) Prec@1 43.750 (45.696) Prec@5 68.750 (71.194)
Epoch: [44][830/5005] Time 0.209 (0.212) Data 0.041 (0.048) Loss 2.3069 (2.3967) Prec@1 45.703 (45.686) Prec@5 71.094 (71.181)
Epoch: [44][840/5005] Time 0.205 (0.212) Data 0.040 (0.048) Loss 2.3443 (2.3969) Prec@1 47.656 (45.683) Prec@5 69.922 (71.180)
Epoch: [44][850/5005] Time 0.210 (0.212) Data 0.060 (0.048) Loss 2.5879 (2.3966) Prec@1 44.141 (45.684) Prec@5 69.531 (71.188)
Epoch: [44][860/5005] Time 0.209 (0.212) Data 0.067 (0.048) Loss 2.4754 (2.3971) Prec@1 44.141 (45.684) Prec@5 69.531 (71.178)
Epoch: [44][870/5005] Time 0.206 (0.212) Data 0.044 (0.048) Loss 2.4339 (2.3960) Prec@1 45.703 (45.719) Prec@5 70.312 (71.198)
Epoch: [44][880/5005] Time 0.211 (0.212) Data 0.040 (0.048) Loss 2.3607 (2.3968) Prec@1 45.312 (45.713) Prec@5 71.484 (71.192)
Epoch: [44][890/5005] Time 0.203 (0.212) Data 0.048 (0.048) Loss 2.6374 (2.3964) Prec@1 39.844 (45.714) Prec@5 67.969 (71.194)
Epoch: [44][900/5005] Time 0.199 (0.211) Data 0.048 (0.047) Loss 2.2612 (2.3961) Prec@1 48.828 (45.706) Prec@5 72.656 (71.201)
Epoch: [44][910/5005] Time 0.210 (0.211) Data 0.050 (0.048) Loss 2.4003 (2.3961) Prec@1 46.875 (45.686) Prec@5 73.828 (71.199)
Epoch: [44][920/5005] Time 0.220 (0.211) Data 0.044 (0.048) Loss 2.5191 (2.3959) Prec@1 44.531 (45.688) Prec@5 72.266 (71.212)
Epoch: [44][930/5005] Time 0.206 (0.211) Data 0.040 (0.047) Loss 2.4601 (2.3953) Prec@1 48.047 (45.702) Prec@5 68.750 (71.206)
Epoch: [44][940/5005] Time 0.207 (0.211) Data 0.042 (0.047) Loss 2.2356 (2.3954) Prec@1 47.266 (45.690) Prec@5 74.609 (71.212)
Epoch: [44][950/5005] Time 0.208 (0.211) Data 0.048 (0.047) Loss 2.4823 (2.3963) Prec@1 45.703 (45.674) Prec@5 72.656 (71.202)
Epoch: [44][960/5005] Time 0.206 (0.211) Data 0.066 (0.047) Loss 2.6163 (2.3963) Prec@1 42.578 (45.672) Prec@5 66.797 (71.209)
Epoch: [44][970/5005] Time 0.211 (0.211) Data 0.045 (0.047) Loss 2.1234 (2.3958) Prec@1 47.656 (45.681) Prec@5 76.953 (71.219)
Epoch: [44][980/5005] Time 0.210 (0.211) Data 0.058 (0.048) Loss 2.2890 (2.3949) Prec@1 46.094 (45.697) Prec@5 73.828 (71.240)
Epoch: [44][990/5005] Time 0.217 (0.211) Data 0.042 (0.048) Loss 2.4908 (2.3952) Prec@1 42.188 (45.671) Prec@5 68.359 (71.236)
Epoch: [44][1000/5005] Time 0.204 (0.211) Data 0.047 (0.048) Loss 2.4671 (2.3950) Prec@1 44.922 (45.686) Prec@5 71.875 (71.238)
Epoch: [44][1010/5005] Time 0.209 (0.211) Data 0.056 (0.048) Loss 2.3327 (2.3945) Prec@1 46.094 (45.700) Prec@5 73.828 (71.246)
Epoch: [44][1020/5005] Time 0.213 (0.211) Data 0.066 (0.048) Loss 2.1066 (2.3950) Prec@1 52.344 (45.700) Prec@5 77.344 (71.239)
Epoch: [44][1030/5005] Time 0.203 (0.211) Data 0.061 (0.048) Loss 2.3549 (2.3946) Prec@1 43.750 (45.702) Prec@5 75.000 (71.249)
Epoch: [44][1040/5005] Time 0.207 (0.213) Data 0.042 (0.048) Loss 2.4361 (2.3948) Prec@1 43.750 (45.700) Prec@5 71.484 (71.246)
Epoch: [44][1050/5005] Time 0.203 (0.212) Data 0.042 (0.048) Loss 2.5038 (2.3952) Prec@1 43.359 (45.685) Prec@5 69.141 (71.236)
Epoch: [44][1060/5005] Time 0.191 (0.212) Data 0.047 (0.048) Loss 2.5843 (2.3958) Prec@1 42.969 (45.677) Prec@5 67.188 (71.229)
Epoch: [44][1070/5005] Time 0.210 (0.212) Data 0.051 (0.048) Loss 2.3813 (2.3958) Prec@1 47.266 (45.679) Prec@5 73.438 (71.230)
Epoch: [44][1080/5005] Time 0.213 (0.212) Data 0.044 (0.048) Loss 2.4209 (2.3957) Prec@1 42.578 (45.685) Prec@5 71.094 (71.234)
Epoch: [44][1090/5005] Time 0.219 (0.212) Data 0.043 (0.048) Loss 2.1917 (2.3955) Prec@1 48.828 (45.678) Prec@5 71.094 (71.235)
Epoch: [44][1100/5005] Time 0.207 (0.212) Data 0.045 (0.048) Loss 2.2897 (2.3949) Prec@1 48.047 (45.684) Prec@5 73.438 (71.240)
Epoch: [44][1110/5005] Time 0.209 (0.212) Data 0.044 (0.048) Loss 2.3794 (2.3952) Prec@1 43.750 (45.676) Prec@5 72.656 (71.242)
Epoch: [44][1120/5005] Time 0.209 (0.212) Data 0.048 (0.048) Loss 2.3479 (2.3941) Prec@1 46.875 (45.690) Prec@5 70.703 (71.255)
Epoch: [44][1130/5005] Time 0.207 (0.212) Data 0.051 (0.048) Loss 2.4548 (2.3942) Prec@1 44.922 (45.691) Prec@5 69.531 (71.250)
Epoch: [44][1140/5005] Time 0.202 (0.212) Data 0.059 (0.048) Loss 2.3081 (2.3935) Prec@1 49.219 (45.713) Prec@5 73.828 (71.261)
Epoch: [44][1150/5005] Time 0.210 (0.212) Data 0.041 (0.048) Loss 2.2382 (2.3929) Prec@1 47.266 (45.730) Prec@5 74.219 (71.279)
Epoch: [44][1160/5005] Time 0.199 (0.212) Data 0.044 (0.048) Loss 2.3815 (2.3929) Prec@1 44.531 (45.731) Prec@5 72.266 (71.278)
Epoch: [44][1170/5005] Time 0.206 (0.212) Data 0.049 (0.048) Loss 2.3066 (2.3930) Prec@1 45.312 (45.732) Prec@5 71.484 (71.274)
Epoch: [44][1180/5005] Time 0.212 (0.212) Data 0.046 (0.048) Loss 2.3628 (2.3928) Prec@1 46.875 (45.725) Prec@5 70.703 (71.268)
Epoch: [44][1190/5005] Time 0.216 (0.212) Data 0.045 (0.048) Loss 2.2416 (2.3926) Prec@1 43.359 (45.723) Prec@5 73.828 (71.274)
Epoch: [44][1200/5005] Time 0.217 (0.212) Data 0.042 (0.048) Loss 2.6465 (2.3926) Prec@1 41.016 (45.718) Prec@5 65.625 (71.274)
Epoch: [44][1210/5005] Time 0.215 (0.212) Data 0.043 (0.048) Loss 2.3805 (2.3931) Prec@1 44.531 (45.712) Prec@5 71.484 (71.270)
Epoch: [44][1220/5005] Time 0.205 (0.212) Data 0.040 (0.048) Loss 2.3978 (2.3932) Prec@1 41.797 (45.711) Prec@5 68.359 (71.264)
Epoch: [44][1230/5005] Time 0.209 (0.212) Data 0.045 (0.048) Loss 2.4013 (2.3931) Prec@1 47.266 (45.704) Prec@5 71.875 (71.260)
Epoch: [44][1240/5005] Time 0.212 (0.212) Data 0.044 (0.048) Loss 2.3592 (2.3930) Prec@1 48.438 (45.709) Prec@5 69.922 (71.258)
Epoch: [44][1250/5005] Time 0.220 (0.212) Data 0.046 (0.048) Loss 2.7455 (2.3933) Prec@1 38.281 (45.703) Prec@5 64.844 (71.257)
Epoch: [44][1260/5005] Time 0.200 (0.212) Data 0.050 (0.048) Loss 2.2783 (2.3928) Prec@1 45.703 (45.709) Prec@5 73.047 (71.265)
Epoch: [44][1270/5005] Time 0.211 (0.212) Data 0.047 (0.048) Loss 2.5369 (2.3932) Prec@1 44.922 (45.707) Prec@5 69.922 (71.258)
Epoch: [44][1280/5005] Time 0.204 (0.212) Data 0.050 (0.048) Loss 2.4892 (2.3938) Prec@1 46.875 (45.693) Prec@5 67.188 (71.244)
Epoch: [44][1290/5005] Time 0.205 (0.212) Data 0.041 (0.048) Loss 2.0947 (2.3935) Prec@1 51.953 (45.707) Prec@5 75.391 (71.247)
Epoch: [44][1300/5005] Time 0.209 (0.212) Data 0.045 (0.048) Loss 2.3113 (2.3934) Prec@1 49.219 (45.706) Prec@5 72.656 (71.244)
Epoch: [44][1310/5005] Time 0.201 (0.212) Data 0.050 (0.048) Loss 2.3395 (2.3932) Prec@1 49.609 (45.708) Prec@5 73.438 (71.253)
Epoch: [44][1320/5005] Time 0.215 (0.212) Data 0.043 (0.048) Loss 2.4535 (2.3932) Prec@1 47.656 (45.706) Prec@5 73.438 (71.259)
Epoch: [44][1330/5005] Time 0.215 (0.212) Data 0.046 (0.048) Loss 2.6238 (2.3938) Prec@1 43.750 (45.705) Prec@5 66.016 (71.242)
Epoch: [44][1340/5005] Time 0.208 (0.212) Data 0.057 (0.048) Loss 2.3847 (2.3940) Prec@1 46.484 (45.697) Prec@5 73.047 (71.250)
Epoch: [44][1350/5005] Time 0.209 (0.212) Data 0.045 (0.048) Loss 2.7590 (2.3944) Prec@1 43.359 (45.687) Prec@5 68.359 (71.244)
Epoch: [44][1360/5005] Time 0.209 (0.212) Data 0.047 (0.048) Loss 2.2167 (2.3942) Prec@1 50.000 (45.690) Prec@5 73.047 (71.243)
Epoch: [44][1370/5005] Time 0.217 (0.212) Data 0.053 (0.048) Loss 2.4366 (2.3939) Prec@1 45.703 (45.691) Prec@5 71.094 (71.251)
Epoch: [44][1380/5005] Time 0.203 (0.212) Data 0.043 (0.048) Loss 2.3989 (2.3937) Prec@1 46.094 (45.697) Prec@5 70.312 (71.255)
Epoch: [44][1390/5005] Time 0.201 (0.212) Data 0.043 (0.048) Loss 2.3148 (2.3937) Prec@1 46.875 (45.701) Prec@5 71.094 (71.252)
Epoch: [44][1400/5005] Time 0.200 (0.211) Data 0.046 (0.048) Loss 2.4244 (2.3929) Prec@1 42.578 (45.714) Prec@5 71.094 (71.267)
Epoch: [44][1410/5005] Time 0.210 (0.211) Data 0.052 (0.048) Loss 2.2361 (2.3929) Prec@1 48.438 (45.714) Prec@5 74.219 (71.264)
Epoch: [44][1420/5005] Time 0.201 (0.211) Data 0.049 (0.048) Loss 2.6642 (2.3931) Prec@1 42.578 (45.709) Prec@5 69.531 (71.264)
Epoch: [44][1430/5005] Time 0.217 (0.211) Data 0.044 (0.048) Loss 2.0350 (2.3926) Prec@1 50.781 (45.715) Prec@5 76.172 (71.277)
Epoch: [44][1440/5005] Time 0.203 (0.211) Data 0.042 (0.048) Loss 2.1679 (2.3924) Prec@1 51.172 (45.719) Prec@5 74.219 (71.274)
Epoch: [44][1450/5005] Time 0.209 (0.211) Data 0.050 (0.048) Loss 2.3155 (2.3925) Prec@1 48.828 (45.719) Prec@5 71.875 (71.271)
Epoch: [44][1460/5005] Time 0.206 (0.211) Data 0.049 (0.048) Loss 2.6144 (2.3927) Prec@1 39.453 (45.719) Prec@5 65.234 (71.273)
Epoch: [44][1470/5005] Time 0.210 (0.211) Data 0.063 (0.048) Loss 2.5294 (2.3929) Prec@1 44.922 (45.721) Prec@5 67.969 (71.267)
Epoch: [44][1480/5005] Time 0.205 (0.211) Data 0.040 (0.048) Loss 2.3176 (2.3931) Prec@1 48.438 (45.718) Prec@5 71.875 (71.269)
Epoch: [44][1490/5005] Time 0.210 (0.211) Data 0.044 (0.048) Loss 2.5416 (2.3928) Prec@1 42.969 (45.725) Prec@5 67.578 (71.275)
Epoch: [44][1500/5005] Time 0.210 (0.211) Data 0.046 (0.048) Loss 2.4060 (2.3927) Prec@1 44.141 (45.726) Prec@5 70.703 (71.281)
Epoch: [44][1510/5005] Time 0.209 (0.211) Data 0.039 (0.048) Loss 2.2983 (2.3926) Prec@1 47.266 (45.732) Prec@5 71.094 (71.282)
Epoch: [44][1520/5005] Time 0.212 (0.211) Data 0.048 (0.048) Loss 2.5158 (2.3924) Prec@1 41.406 (45.728) Prec@5 69.922 (71.288)
Epoch: [44][1530/5005] Time 0.206 (0.211) Data 0.045 (0.048) Loss 2.6239 (2.3927) Prec@1 39.844 (45.724) Prec@5 69.922 (71.282)
Epoch: [44][1540/5005] Time 0.197 (0.211) Data 0.058 (0.048) Loss 2.3702 (2.3929) Prec@1 46.484 (45.721) Prec@5 70.312 (71.278)
Epoch: [44][1550/5005] Time 0.201 (0.211) Data 0.043 (0.047) Loss 2.5014 (2.3926) Prec@1 46.875 (45.720) Prec@5 71.094 (71.281)
Epoch: [44][1560/5005] Time 0.217 (0.211) Data 0.047 (0.047) Loss 2.3015 (2.3928) Prec@1 48.047 (45.721) Prec@5 72.266 (71.283)
Epoch: [44][1570/5005] Time 0.211 (0.211) Data 0.042 (0.047) Loss 2.2211 (2.3925) Prec@1 47.656 (45.730) Prec@5 72.266 (71.287)
Epoch: [44][1580/5005] Time 0.202 (0.211) Data 0.047 (0.047) Loss 2.3375 (2.3928) Prec@1 48.828 (45.725) Prec@5 73.047 (71.280)
Epoch: [44][1590/5005] Time 0.208 (0.211) Data 0.048 (0.047) Loss 2.4537 (2.3928) Prec@1 45.703 (45.725) Prec@5 68.750 (71.284)
Epoch: [44][1600/5005] Time 0.210 (0.211) Data 0.040 (0.047) Loss 2.4322 (2.3927) Prec@1 44.141 (45.724) Prec@5 70.703 (71.286)
Epoch: [44][1610/5005] Time 0.215 (0.211) Data 0.043 (0.047) Loss 2.4099 (2.3928) Prec@1 46.875 (45.725) Prec@5 70.703 (71.279)
Epoch: [44][1620/5005] Time 0.209 (0.211) Data 0.049 (0.047) Loss 2.6199 (2.3927) Prec@1 41.406 (45.722) Prec@5 69.141 (71.277)
Epoch: [44][1630/5005] Time 0.212 (0.211) Data 0.061 (0.047) Loss 2.2567 (2.3924) Prec@1 48.047 (45.725) Prec@5 70.312 (71.279)
Epoch: [44][1640/5005] Time 0.202 (0.211) Data 0.058 (0.047) Loss 2.4621 (2.3929) Prec@1 46.484 (45.725) Prec@5 67.969 (71.270)
Epoch: [44][1650/5005] Time 0.209 (0.211) Data 0.044 (0.047) Loss 2.5200 (2.3929) Prec@1 44.531 (45.727) Prec@5 68.750 (71.273)
Epoch: [44][1660/5005] Time 0.209 (0.211) Data 0.045 (0.047) Loss 2.2578 (2.3924) Prec@1 48.438 (45.740) Prec@5 76.172 (71.285)
Epoch: [44][1670/5005] Time 0.208 (0.211) Data 0.048 (0.047) Loss 2.1222 (2.3923) Prec@1 51.562 (45.746) Prec@5 73.828 (71.287)
Epoch: [44][1680/5005] Time 0.211 (0.211) Data 0.048 (0.047) Loss 2.5421 (2.3926) Prec@1 43.750 (45.741) Prec@5 68.359 (71.282)
Epoch: [44][1690/5005] Time 0.203 (0.211) Data 0.049 (0.047) Loss 2.2609 (2.3922) Prec@1 46.484 (45.743) Prec@5 76.172 (71.290)
Epoch: [44][1700/5005] Time 0.205 (0.211) Data 0.049 (0.047) Loss 2.2759 (2.3919) Prec@1 45.703 (45.751) Prec@5 72.656 (71.298)
Epoch: [44][1710/5005] Time 0.214 (0.211) Data 0.043 (0.047) Loss 2.3437 (2.3918) Prec@1 46.875 (45.747) Prec@5 71.484 (71.299)
Epoch: [44][1720/5005] Time 0.207 (0.211) Data 0.056 (0.047) Loss 2.4139 (2.3919) Prec@1 44.922 (45.748) Prec@5 73.828 (71.298)
Epoch: [44][1730/5005] Time 0.212 (0.211) Data 0.051 (0.047) Loss 2.3226 (2.3919) Prec@1 44.141 (45.740) Prec@5 71.875 (71.298)
Epoch: [44][1740/5005] Time 0.196 (0.211) Data 0.048 (0.047) Loss 2.5379 (2.3917) Prec@1 40.234 (45.736) Prec@5 66.797 (71.299)
Epoch: [44][1750/5005] Time 0.218 (0.211) Data 0.045 (0.047) Loss 2.4394 (2.3915) Prec@1 41.406 (45.736) Prec@5 70.703 (71.303)
Epoch: [44][1760/5005] Time 0.210 (0.211) Data 0.044 (0.047) Loss 2.1229 (2.3912) Prec@1 50.391 (45.744) Prec@5 76.562 (71.309)
Epoch: [44][1770/5005] Time 0.213 (0.211) Data 0.046 (0.048) Loss 2.6149 (2.3912) Prec@1 41.016 (45.745) Prec@5 66.016 (71.309)
Epoch: [44][1780/5005] Time 0.204 (0.211) Data 0.053 (0.048) Loss 2.2834 (2.3911) Prec@1 46.875 (45.750) Prec@5 69.922 (71.311)
Epoch: [44][1790/5005] Time 0.215 (0.211) Data 0.050 (0.048) Loss 2.3091 (2.3906) Prec@1 45.703 (45.762) Prec@5 73.828 (71.317)
Epoch: [44][1800/5005] Time 0.205 (0.211) Data 0.040 (0.048) Loss 2.2966 (2.3902) Prec@1 47.656 (45.773) Prec@5 72.656 (71.327)
Epoch: [44][1810/5005] Time 0.211 (0.211) Data 0.042 (0.048) Loss 2.2288 (2.3900) Prec@1 49.219 (45.776) Prec@5 74.219 (71.332)
Epoch: [44][1820/5005] Time 0.210 (0.211) Data 0.044 (0.047) Loss 2.3457 (2.3900) Prec@1 46.484 (45.774) Prec@5 73.047 (71.327)
Epoch: [44][1830/5005] Time 0.207 (0.211) Data 0.042 (0.047) Loss 2.2175 (2.3896) Prec@1 49.609 (45.779) Prec@5 73.828 (71.332)
Epoch: [44][1840/5005] Time 0.223 (0.211) Data 0.044 (0.047) Loss 2.4839 (2.3895) Prec@1 44.141 (45.782) Prec@5 66.406 (71.329)
Epoch: [44][1850/5005] Time 0.217 (0.211) Data 0.043 (0.047) Loss 2.4627 (2.3893) Prec@1 44.141 (45.784) Prec@5 71.875 (71.334)
Epoch: [44][1860/5005] Time 0.214 (0.211) Data 0.043 (0.047) Loss 2.3296 (2.3892) Prec@1 46.484 (45.782) Prec@5 70.703 (71.337)
Epoch: [44][1870/5005] Time 0.212 (0.211) Data 0.043 (0.047) Loss 2.5988 (2.3893) Prec@1 41.797 (45.780) Prec@5 69.141 (71.336)
Epoch: [44][1880/5005] Time 0.207 (0.211) Data 0.049 (0.047) Loss 2.4734 (2.3895) Prec@1 44.141 (45.776) Prec@5 67.969 (71.330)
Epoch: [44][1890/5005] Time 0.198 (0.211) Data 0.041 (0.047) Loss 2.3582 (2.3892) Prec@1 45.703 (45.782) Prec@5 71.484 (71.335)
Epoch: [44][1900/5005] Time 0.205 (0.211) Data 0.044 (0.047) Loss 2.3674 (2.3898) Prec@1 47.266 (45.779) Prec@5 73.828 (71.332)
Epoch: [44][1910/5005] Time 0.207 (0.211) Data 0.041 (0.047) Loss 2.3467 (2.3897) Prec@1 44.141 (45.779) Prec@5 72.266 (71.332)
Epoch: [44][1920/5005] Time 0.210 (0.211) Data 0.040 (0.047) Loss 2.3570 (2.3896) Prec@1 46.094 (45.777) Prec@5 73.828 (71.337)
Epoch: [44][1930/5005] Time 0.207 (0.211) Data 0.043 (0.047) Loss 2.2682 (2.3893) Prec@1 50.000 (45.784) Prec@5 72.656 (71.339)
Epoch: [44][1940/5005] Time 0.200 (0.211) Data 0.044 (0.047) Loss 2.2417 (2.3892) Prec@1 50.000 (45.782) Prec@5 75.000 (71.341)
Epoch: [44][1950/5005] Time 0.209 (0.211) Data 0.043 (0.047) Loss 2.5068 (2.3892) Prec@1 42.578 (45.782) Prec@5 66.797 (71.344)
Epoch: [44][1960/5005] Time 0.212 (0.211) Data 0.043 (0.047) Loss 2.3512 (2.3891) Prec@1 44.141 (45.787) Prec@5 73.047 (71.348)
Epoch: [44][1970/5005] Time 0.211 (0.211) Data 0.046 (0.047) Loss 2.3015 (2.3891) Prec@1 47.656 (45.787) Prec@5 69.922 (71.346)
Epoch: [44][1980/5005] Time 0.203 (0.211) Data 0.042 (0.047) Loss 2.2801 (2.3891) Prec@1 49.219 (45.789) Prec@5 72.266 (71.346)
Epoch: [44][1990/5005] Time 0.210 (0.211) Data 0.044 (0.047) Loss 2.2410 (2.3889) Prec@1 49.609 (45.800) Prec@5 75.000 (71.348)
Epoch: [44][2000/5005] Time 1.361 (0.211) Data 0.040 (0.047) Loss 2.2568 (2.3891) Prec@1 50.391 (45.800) Prec@5 75.391 (71.339)
Epoch: [44][2010/5005] Time 0.196 (0.211) Data 0.048 (0.047) Loss 2.3560 (2.3892) Prec@1 44.531 (45.797) Prec@5 73.438 (71.337)
Epoch: [44][2020/5005] Time 0.194 (0.211) Data 0.058 (0.047) Loss 2.3440 (2.3893) Prec@1 47.656 (45.795) Prec@5 72.656 (71.336)
Epoch: [44][2030/5005] Time 0.199 (0.211) Data 0.045 (0.047) Loss 2.2997 (2.3894) Prec@1 43.750 (45.794) Prec@5 76.562 (71.335)
Epoch: [44][2040/5005] Time 0.215 (0.211) Data 0.044 (0.047) Loss 2.1206 (2.3891) Prec@1 48.438 (45.798) Prec@5 76.562 (71.344)
Epoch: [44][2050/5005] Time 0.211 (0.211) Data 0.047 (0.047) Loss 2.4112 (2.3890) Prec@1 45.703 (45.801) Prec@5 71.875 (71.342)
Epoch: [44][2060/5005] Time 0.200 (0.211) Data 0.058 (0.047) Loss 2.3732 (2.3891) Prec@1 47.656 (45.795) Prec@5 70.703 (71.342)
Epoch: [44][2070/5005] Time 0.204 (0.211) Data 0.062 (0.047) Loss 2.5820 (2.3892) Prec@1 40.234 (45.790) Prec@5 69.531 (71.338)
Epoch: [44][2080/5005] Time 0.216 (0.211) Data 0.046 (0.047) Loss 2.3718 (2.3890) Prec@1 46.094 (45.793) Prec@5 73.828 (71.340)
Epoch: [44][2090/5005] Time 0.216 (0.211) Data 0.043 (0.047) Loss 2.1799 (2.3884) Prec@1 47.266 (45.804) Prec@5 75.000 (71.349)
Epoch: [44][2100/5005] Time 0.211 (0.211) Data 0.042 (0.047) Loss 2.5049 (2.3882) Prec@1 44.922 (45.812) Prec@5 68.750 (71.351)
Epoch: [44][2110/5005] Time 0.198 (0.211) Data 0.046 (0.047) Loss 2.3311 (2.3882) Prec@1 46.484 (45.814) Prec@5 73.438 (71.351)
Epoch: [44][2120/5005] Time 0.205 (0.211) Data 0.048 (0.047) Loss 2.5478 (2.3883) Prec@1 44.531 (45.815) Prec@5 68.750 (71.355)
Epoch: [44][2130/5005] Time 0.212 (0.211) Data 0.044 (0.047) Loss 2.3893 (2.3879) Prec@1 45.703 (45.823) Prec@5 69.922 (71.359)
Epoch: [44][2140/5005] Time 0.205 (0.211) Data 0.046 (0.047) Loss 2.2446 (2.3880) Prec@1 50.391 (45.823) Prec@5 73.828 (71.360)
Epoch: [44][2150/5005] Time 0.206 (0.211) Data 0.041 (0.047) Loss 2.3003 (2.3879) Prec@1 48.438 (45.822) Prec@5 73.438 (71.360)
Epoch: [44][2160/5005] Time 0.202 (0.211) Data 0.050 (0.047) Loss 2.2033 (2.3879) Prec@1 49.219 (45.823) Prec@5 74.609 (71.362)
Epoch: [44][2170/5005] Time 0.210 (0.211) Data 0.046 (0.047) Loss 2.1496 (2.3875) Prec@1 51.953 (45.833) Prec@5 75.000 (71.367)
Epoch: [44][2180/5005] Time 0.208 (0.211) Data 0.042 (0.047) Loss 2.5301 (2.3876) Prec@1 46.094 (45.832) Prec@5 67.969 (71.362)
Epoch: [44][2190/5005] Time 0.214 (0.211) Data 0.045 (0.047) Loss 2.5837 (2.3877) Prec@1 42.188 (45.833) Prec@5 67.188 (71.360)
Epoch: [44][2200/5005] Time 0.202 (0.211) Data 0.060 (0.047) Loss 2.5211 (2.3880) Prec@1 38.672 (45.824) Prec@5 69.922 (71.357)
Epoch: [44][2210/5005] Time 0.207 (0.211) Data 0.043 (0.047) Loss 2.4892 (2.3883) Prec@1 46.484 (45.816) Prec@5 66.406 (71.352)
Epoch: [44][2220/5005] Time 0.208 (0.211) Data 0.046 (0.047) Loss 2.4333 (2.3881) Prec@1 47.656 (45.818) Prec@5 71.484 (71.357)
Epoch: [44][2230/5005] Time 0.213 (0.211) Data 0.044 (0.047) Loss 2.3981 (2.3882) Prec@1 46.875 (45.815) Prec@5 74.219 (71.357)
Epoch: [44][2240/5005] Time 0.205 (0.211) Data 0.053 (0.047) Loss 2.4363 (2.3884) Prec@1 43.359 (45.809) Prec@5 70.312 (71.353)
Epoch: [44][2250/5005] Time 0.209 (0.211) Data 0.041 (0.047) Loss 2.1860 (2.3884) Prec@1 46.094 (45.805) Prec@5 76.562 (71.352)
Epoch: [44][2260/5005] Time 0.203 (0.211) Data 0.047 (0.047) Loss 2.3237 (2.3882) Prec@1 46.484 (45.810) Prec@5 72.266 (71.355)
Epoch: [44][2270/5005] Time 0.208 (0.211) Data 0.045 (0.047) Loss 2.5579 (2.3879) Prec@1 41.406 (45.815) Prec@5 70.703 (71.359)
Epoch: [44][2280/5005] Time 0.212 (0.211) Data 0.048 (0.047) Loss 2.4077 (2.3880) Prec@1 45.312 (45.816) Prec@5 69.531 (71.359)
Epoch: [44][2290/5005] Time 0.207 (0.211) Data 0.055 (0.047) Loss 2.1928 (2.3880) Prec@1 48.438 (45.815) Prec@5 74.219 (71.358)
Epoch: [44][2300/5005] Time 0.200 (0.211) Data 0.046 (0.047) Loss 2.3775 (2.3881) Prec@1 42.969 (45.812) Prec@5 69.531 (71.358)
Epoch: [44][2310/5005] Time 0.202 (0.211) Data 0.047 (0.047) Loss 2.2336 (2.3879) Prec@1 48.438 (45.817) Prec@5 72.266 (71.358)
Epoch: [44][2320/5005] Time 0.215 (0.211) Data 0.044 (0.047) Loss 2.4989 (2.3880) Prec@1 46.094 (45.813) Prec@5 68.359 (71.356)
Epoch: [44][2330/5005] Time 0.211 (0.211) Data 0.046 (0.047) Loss 2.3407 (2.3878) Prec@1 49.219 (45.816) Prec@5 71.094 (71.359)
Epoch: [44][2340/5005] Time 0.208 (0.211) Data 0.045 (0.047) Loss 2.3854 (2.3876) Prec@1 45.312 (45.818) Prec@5 74.609 (71.366)
Epoch: [44][2350/5005] Time 0.210 (0.211) Data 0.045 (0.047) Loss 2.2552 (2.3875) Prec@1 47.266 (45.825) Prec@5 72.656 (71.368)
Epoch: [44][2360/5005] Time 0.211 (0.211) Data 0.043 (0.047) Loss 2.3840 (2.3876) Prec@1 47.656 (45.819) Prec@5 70.703 (71.365)
Epoch: [44][2370/5005] Time 0.220 (0.211) Data 0.046 (0.047) Loss 2.3959 (2.3876) Prec@1 44.922 (45.816) Prec@5 71.094 (71.365)
Epoch: [44][2380/5005] Time 0.205 (0.211) Data 0.040 (0.047) Loss 2.3967 (2.3874) Prec@1 47.656 (45.820) Prec@5 71.094 (71.367)
Epoch: [44][2390/5005] Time 0.207 (0.211) Data 0.048 (0.047) Loss 2.3665 (2.3872) Prec@1 45.703 (45.824) Prec@5 70.703 (71.368)
Epoch: [44][2400/5005] Time 0.206 (0.211) Data 0.059 (0.047) Loss 2.3455 (2.3873) Prec@1 45.312 (45.822) Prec@5 72.266 (71.365)
Epoch: [44][2410/5005] Time 0.204 (0.211) Data 0.055 (0.047) Loss 2.5295 (2.3874) Prec@1 42.578 (45.826) Prec@5 70.312 (71.362)
Epoch: [44][2420/5005] Time 0.210 (0.211) Data 0.042 (0.047) Loss 2.4716 (2.3872) Prec@1 43.750 (45.831) Prec@5 69.922 (71.369)
Epoch: [44][2430/5005] Time 0.212 (0.210) Data 0.049 (0.047) Loss 2.2419 (2.3872) Prec@1 49.219 (45.830) Prec@5 72.266 (71.365)
Epoch: [44][2440/5005] Time 0.200 (0.210) Data 0.044 (0.047) Loss 2.2760 (2.3871) Prec@1 46.875 (45.830) Prec@5 73.047 (71.363)
Epoch: [44][2450/5005] Time 0.214 (0.210) Data 0.043 (0.047) Loss 2.3127 (2.3869) Prec@1 46.484 (45.834) Prec@5 72.266 (71.366)
Epoch: [44][2460/5005] Time 0.214 (0.210) Data 0.043 (0.047) Loss 2.4004 (2.3867) Prec@1 44.141 (45.836) Prec@5 72.266 (71.367)
Epoch: [44][2470/5005] Time 0.216 (0.210) Data 0.043 (0.047) Loss 2.3597 (2.3865) Prec@1 47.656 (45.842) Prec@5 69.141 (71.371)
Epoch: [44][2480/5005] Time 0.210 (0.210) Data 0.063 (0.047) Loss 2.6191 (2.3868) Prec@1 40.234 (45.836) Prec@5 69.141 (71.369)
Epoch: [44][2490/5005] Time 0.205 (0.210) Data 0.051 (0.047) Loss 2.1355 (2.3869) Prec@1 50.000 (45.833) Prec@5 75.781 (71.367)
Epoch: [44][2500/5005] Time 0.207 (0.210) Data 0.053 (0.047) Loss 2.4058 (2.3869) Prec@1 43.359 (45.832) Prec@5 71.094 (71.368)
Epoch: [44][2510/5005] Time 0.215 (0.210) Data 0.046 (0.047) Loss 2.5419 (2.3868) Prec@1 42.969 (45.834) Prec@5 71.094 (71.370)
Epoch: [44][2520/5005] Time 0.211 (0.210) Data 0.046 (0.047) Loss 2.3288 (2.3868) Prec@1 48.438 (45.834) Prec@5 70.312 (71.369)
Epoch: [44][2530/5005] Time 0.206 (0.210) Data 0.045 (0.047) Loss 2.5128 (2.3868) Prec@1 42.578 (45.832) Prec@5 71.094 (71.368)
Epoch: [44][2540/5005] Time 0.206 (0.210) Data 0.044 (0.047) Loss 2.3740 (2.3867) Prec@1 46.094 (45.835) Prec@5 71.875 (71.367)
Epoch: [44][2550/5005] Time 0.209 (0.210) Data 0.043 (0.047) Loss 2.2634 (2.3866) Prec@1 44.531 (45.836) Prec@5 73.438 (71.369)
Epoch: [44][2560/5005] Time 0.205 (0.210) Data 0.048 (0.047) Loss 2.6061 (2.3868) Prec@1 44.922 (45.833) Prec@5 68.750 (71.363)
Epoch: [44][2570/5005] Time 0.206 (0.210) Data 0.042 (0.047) Loss 2.4616 (2.3869) Prec@1 41.016 (45.830) Prec@5 74.609 (71.366)
Epoch: [44][2580/5005] Time 0.201 (0.210) Data 0.046 (0.047) Loss 2.5018 (2.3872) Prec@1 42.969 (45.824) Prec@5 69.141 (71.360)
Epoch: [44][2590/5005] Time 0.208 (0.210) Data 0.045 (0.047) Loss 2.5588 (2.3871) Prec@1 42.188 (45.829) Prec@5 70.703 (71.357)
Epoch: [44][2600/5005] Time 0.205 (0.210) Data 0.045 (0.047) Loss 2.4922 (2.3872) Prec@1 43.359 (45.826) Prec@5 68.750 (71.357)
Epoch: [44][2610/5005] Time 0.211 (0.210) Data 0.043 (0.047) Loss 2.5733 (2.3869) Prec@1 44.531 (45.834) Prec@5 66.016 (71.360)
Epoch: [44][2620/5005] Time 0.202 (0.210) Data 0.045 (0.047) Loss 2.2168 (2.3869) Prec@1 46.875 (45.835) Prec@5 75.000 (71.359)
Epoch: [44][2630/5005] Time 0.204 (0.210) Data 0.051 (0.047) Loss 2.4641 (2.3872) Prec@1 45.312 (45.837) Prec@5 73.047 (71.356)
Epoch: [44][2640/5005] Time 0.203 (0.210) Data 0.054 (0.047) Loss 2.5566 (2.3872) Prec@1 41.016 (45.835) Prec@5 68.750 (71.358)
Epoch: [44][2650/5005] Time 0.207 (0.210) Data 0.045 (0.047) Loss 2.5029 (2.3871) Prec@1 40.625 (45.832) Prec@5 71.875 (71.362)
Epoch: [44][2660/5005] Time 0.208 (0.210) Data 0.048 (0.047) Loss 2.3702 (2.3871) Prec@1 42.969 (45.833) Prec@5 71.875 (71.360)
Epoch: [44][2670/5005] Time 0.210 (0.210) Data 0.043 (0.047) Loss 2.1031 (2.3868) Prec@1 51.172 (45.839) Prec@5 77.734 (71.362)
Epoch: [44][2680/5005] Time 0.202 (0.210) Data 0.056 (0.047) Loss 2.2023 (2.3867) Prec@1 51.953 (45.842) Prec@5 75.000 (71.364)
Epoch: [44][2690/5005] Time 0.212 (0.210) Data 0.048 (0.047) Loss 2.1202 (2.3866) Prec@1 53.125 (45.842) Prec@5 73.828 (71.362)
Epoch: [44][2700/5005] Time 0.202 (0.210) Data 0.044 (0.047) Loss 2.3433 (2.3867) Prec@1 46.094 (45.839) Prec@5 73.438 (71.363)
Epoch: [44][2710/5005] Time 0.216 (0.210) Data 0.045 (0.047) Loss 2.1737 (2.3869) Prec@1 50.000 (45.835) Prec@5 74.609 (71.358)
Epoch: [44][2720/5005] Time 0.209 (0.210) Data 0.043 (0.047) Loss 2.2321 (2.3868) Prec@1 50.000 (45.836) Prec@5 71.875 (71.359)
Epoch: [44][2730/5005] Time 0.198 (0.210) Data 0.046 (0.047) Loss 2.4619 (2.3868) Prec@1 44.922 (45.837) Prec@5 68.750 (71.359)
Epoch: [44][2740/5005] Time 0.202 (0.210) Data 0.068 (0.047) Loss 2.3516 (2.3867) Prec@1 47.656 (45.841) Prec@5 73.047 (71.361)
Epoch: [44][2750/5005] Time 0.200 (0.210) Data 0.047 (0.047) Loss 2.4260 (2.3866) Prec@1 45.703 (45.845) Prec@5 69.531 (71.361)
Epoch: [44][2760/5005] Time 0.200 (0.210) Data 0.047 (0.047) Loss 2.3943 (2.3864) Prec@1 45.703 (45.849) Prec@5 71.484 (71.366)
Epoch: [44][2770/5005] Time 0.208 (0.210) Data 0.044 (0.047) Loss 2.1967 (2.3865) Prec@1 48.438 (45.847) Prec@5 75.781 (71.366)
Epoch: [44][2780/5005] Time 0.215 (0.210) Data 0.042 (0.047) Loss 2.6067 (2.3865) Prec@1 41.406 (45.850) Prec@5 67.969 (71.365)
Epoch: [44][2790/5005] Time 0.208 (0.210) Data 0.046 (0.047) Loss 2.7073 (2.3867) Prec@1 39.844 (45.849) Prec@5 66.016 (71.359)
Epoch: [44][2800/5005] Time 0.209 (0.210) Data 0.051 (0.047) Loss 2.1182 (2.3867) Prec@1 51.172 (45.847) Prec@5 75.781 (71.361)
Epoch: [44][2810/5005] Time 0.206 (0.210) Data 0.047 (0.047) Loss 2.6097 (2.3867) Prec@1 42.969 (45.849) Prec@5 67.578 (71.358)
Epoch: [44][2820/5005] Time 0.206 (0.210) Data 0.046 (0.047) Loss 2.0761 (2.3864) Prec@1 47.656 (45.854) Prec@5 74.609 (71.364)
Epoch: [44][2830/5005] Time 0.206 (0.210) Data 0.043 (0.047) Loss 2.5724 (2.3864) Prec@1 42.188 (45.854) Prec@5 70.312 (71.366)
Epoch: [44][2840/5005] Time 0.199 (0.210) Data 0.047 (0.047) Loss 2.4832 (2.3864) Prec@1 44.531 (45.853) Prec@5 70.703 (71.366)
Epoch: [44][2850/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.3829 (2.3863) Prec@1 48.047 (45.854) Prec@5 69.141 (71.365)
Epoch: [44][2860/5005] Time 0.205 (0.210) Data 0.049 (0.047) Loss 2.3894 (2.3864) Prec@1 46.094 (45.853) Prec@5 71.484 (71.365)
Epoch: [44][2870/5005] Time 0.207 (0.210) Data 0.046 (0.047) Loss 2.2757 (2.3861) Prec@1 48.438 (45.861) Prec@5 74.609 (71.375)
Epoch: [44][2880/5005] Time 0.216 (0.210) Data 0.053 (0.047) Loss 2.3015 (2.3861) Prec@1 47.266 (45.866) Prec@5 74.219 (71.373)
Epoch: [44][2890/5005] Time 0.201 (0.210) Data 0.048 (0.047) Loss 2.3283 (2.3859) Prec@1 46.094 (45.868) Prec@5 71.094 (71.375)
Epoch: [44][2900/5005] Time 0.203 (0.210) Data 0.044 (0.047) Loss 2.1469 (2.3857) Prec@1 50.391 (45.867) Prec@5 74.609 (71.379)
Epoch: [44][2910/5005] Time 0.218 (0.210) Data 0.044 (0.047) Loss 2.3787 (2.3858) Prec@1 41.406 (45.866) Prec@5 70.312 (71.377)
Epoch: [44][2920/5005] Time 0.211 (0.210) Data 0.045 (0.047) Loss 2.5863 (2.3858) Prec@1 42.188 (45.868) Prec@5 67.969 (71.377)
Epoch: [44][2930/5005] Time 0.206 (0.210) Data 0.044 (0.047) Loss 2.5247 (2.3859) Prec@1 42.969 (45.865) Prec@5 69.141 (71.374)
Epoch: [44][2940/5005] Time 0.206 (0.210) Data 0.045 (0.047) Loss 2.5213 (2.3858) Prec@1 41.797 (45.869) Prec@5 67.969 (71.376)
Epoch: [44][2950/5005] Time 0.202 (0.210) Data 0.045 (0.047) Loss 2.5547 (2.3856) Prec@1 39.844 (45.873) Prec@5 70.703 (71.382)
Epoch: [44][2960/5005] Time 0.200 (0.210) Data 0.046 (0.047) Loss 2.3241 (2.3855) Prec@1 46.484 (45.871) Prec@5 71.484 (71.383)
Epoch: [44][2970/5005] Time 0.200 (0.210) Data 0.045 (0.047) Loss 2.4067 (2.3853) Prec@1 45.312 (45.871) Prec@5 72.656 (71.387)
Epoch: [44][2980/5005] Time 0.202 (0.210) Data 0.048 (0.047) Loss 2.4356 (2.3853) Prec@1 44.531 (45.871) Prec@5 71.875 (71.387)
Epoch: [44][2990/5005] Time 0.193 (0.210) Data 0.050 (0.047) Loss 2.2976 (2.3853) Prec@1 49.219 (45.871) Prec@5 72.656 (71.386)
Epoch: [44][3000/5005] Time 0.217 (0.210) Data 0.047 (0.047) Loss 2.4321 (2.3853) Prec@1 41.406 (45.872) Prec@5 69.922 (71.386)
Epoch: [44][3010/5005] Time 0.216 (0.210) Data 0.045 (0.047) Loss 2.3300 (2.3853) Prec@1 43.750 (45.870) Prec@5 74.609 (71.386)
Epoch: [44][3020/5005] Time 0.207 (0.210) Data 0.050 (0.047) Loss 2.3776 (2.3855) Prec@1 48.828 (45.868) Prec@5 71.484 (71.384)
Epoch: [44][3030/5005] Time 0.204 (0.210) Data 0.047 (0.047) Loss 2.4106 (2.3855) Prec@1 45.312 (45.867) Prec@5 71.484 (71.387)
Epoch: [44][3040/5005] Time 0.211 (0.210) Data 0.049 (0.047) Loss 2.3411 (2.3855) Prec@1 50.781 (45.872) Prec@5 72.656 (71.387)
Epoch: [44][3050/5005] Time 0.215 (0.210) Data 0.045 (0.047) Loss 2.3580 (2.3855) Prec@1 46.484 (45.873) Prec@5 74.609 (71.388)
Epoch: [44][3060/5005] Time 0.201 (0.210) Data 0.054 (0.047) Loss 2.2478 (2.3853) Prec@1 46.484 (45.871) Prec@5 72.656 (71.390)
Epoch: [44][3070/5005] Time 0.208 (0.210) Data 0.044 (0.047) Loss 2.2671 (2.3854) Prec@1 43.750 (45.869) Prec@5 72.266 (71.388)
Epoch: [44][3080/5005] Time 0.210 (0.210) Data 0.047 (0.047) Loss 2.2787 (2.3854) Prec@1 44.531 (45.866) Prec@5 71.484 (71.386)
Epoch: [44][3090/5005] Time 0.204 (0.210) Data 0.048 (0.047) Loss 2.5509 (2.3853) Prec@1 42.188 (45.869) Prec@5 69.531 (71.390)
Epoch: [44][3100/5005] Time 0.211 (0.210) Data 0.044 (0.047) Loss 2.4319 (2.3853) Prec@1 43.750 (45.868) Prec@5 72.266 (71.389)
Epoch: [44][3110/5005] Time 0.202 (0.210) Data 0.051 (0.047) Loss 2.2108 (2.3850) Prec@1 48.828 (45.876) Prec@5 76.172 (71.397)
Epoch: [44][3120/5005] Time 0.215 (0.210) Data 0.044 (0.047) Loss 2.3612 (2.3850) Prec@1 44.922 (45.875) Prec@5 71.094 (71.395)
Epoch: [44][3130/5005] Time 0.214 (0.210) Data 0.045 (0.047) Loss 2.4657 (2.3848) Prec@1 40.234 (45.877) Prec@5 71.094 (71.398)
Epoch: [44][3140/5005] Time 0.209 (0.210) Data 0.041 (0.047) Loss 2.1020 (2.3846) Prec@1 48.828 (45.881) Prec@5 75.391 (71.401)
Epoch: [44][3150/5005] Time 0.212 (0.210) Data 0.043 (0.047) Loss 2.3722 (2.3845) Prec@1 48.828 (45.887) Prec@5 71.875 (71.402)
Epoch: [44][3160/5005] Time 0.210 (0.210) Data 0.059 (0.047) Loss 2.2691 (2.3844) Prec@1 47.656 (45.893) Prec@5 72.656 (71.402)
Epoch: [44][3170/5005] Time 0.202 (0.210) Data 0.056 (0.047) Loss 2.4014 (2.3844) Prec@1 44.141 (45.896) Prec@5 70.703 (71.403)
Epoch: [44][3180/5005] Time 0.212 (0.210) Data 0.057 (0.047) Loss 2.2967 (2.3845) Prec@1 50.391 (45.894) Prec@5 71.484 (71.403)
Epoch: [44][3190/5005] Time 0.201 (0.210) Data 0.043 (0.047) Loss 2.2964 (2.3844) Prec@1 49.609 (45.895) Prec@5 70.312 (71.407)
Epoch: [44][3200/5005] Time 0.203 (0.210) Data 0.060 (0.047) Loss 2.4839 (2.3845) Prec@1 46.094 (45.898) Prec@5 73.047 (71.407)
Epoch: [44][3210/5005] Time 0.192 (0.210) Data 0.047 (0.047) Loss 2.4639 (2.3845) Prec@1 44.141 (45.901) Prec@5 71.094 (71.409)
Epoch: [44][3220/5005] Time 0.204 (0.210) Data 0.042 (0.047) Loss 2.4476 (2.3845) Prec@1 48.828 (45.903) Prec@5 70.703 (71.410)
Epoch: [44][3230/5005] Time 0.202 (0.210) Data 0.047 (0.047) Loss 2.3139 (2.3843) Prec@1 50.000 (45.905) Prec@5 69.922 (71.412)
Epoch: [44][3240/5005] Time 0.209 (0.210) Data 0.046 (0.047) Loss 2.5681 (2.3847) Prec@1 42.578 (45.898) Prec@5 70.312 (71.407)
Epoch: [44][3250/5005] Time 0.223 (0.210) Data 0.046 (0.047) Loss 2.3828 (2.3847) Prec@1 46.484 (45.897) Prec@5 70.703 (71.406)
Epoch: [44][3260/5005] Time 0.202 (0.210) Data 0.058 (0.047) Loss 2.3291 (2.3848) Prec@1 47.656 (45.895) Prec@5 69.922 (71.404)
Epoch: [44][3270/5005] Time 0.213 (0.210) Data 0.045 (0.047) Loss 2.5252 (2.3848) Prec@1 44.531 (45.895) Prec@5 65.625 (71.402)
Epoch: [44][3280/5005] Time 0.210 (0.210) Data 0.042 (0.047) Loss 2.3082 (2.3849) Prec@1 48.828 (45.892) Prec@5 71.484 (71.401)
Epoch: [44][3290/5005] Time 0.214 (0.210) Data 0.056 (0.047) Loss 2.4530 (2.3848) Prec@1 47.266 (45.893) Prec@5 69.922 (71.401)
Epoch: [44][3300/5005] Time 0.208 (0.210) Data 0.049 (0.047) Loss 2.4083 (2.3848) Prec@1 43.750 (45.897) Prec@5 67.578 (71.398)
Epoch: [44][3310/5005] Time 0.206 (0.210) Data 0.054 (0.047) Loss 2.3000 (2.3849) Prec@1 48.828 (45.894) Prec@5 72.266 (71.397)
Epoch: [44][3320/5005] Time 0.214 (0.210) Data 0.045 (0.047) Loss 2.5389 (2.3849) Prec@1 44.141 (45.893) Prec@5 67.188 (71.396)
Epoch: [44][3330/5005] Time 0.208 (0.210) Data 0.045 (0.047) Loss 2.4572 (2.3849) Prec@1 43.359 (45.895) Prec@5 68.750 (71.396)
Epoch: [44][3340/5005] Time 0.207 (0.210) Data 0.042 (0.047) Loss 2.5307 (2.3849) Prec@1 46.484 (45.895) Prec@5 70.703 (71.398)
Epoch: [44][3350/5005] Time 0.208 (0.210) Data 0.045 (0.047) Loss 2.5295 (2.3849) Prec@1 45.312 (45.893) Prec@5 72.266 (71.398)
Epoch: [44][3360/5005] Time 0.208 (0.210) Data 0.041 (0.047) Loss 2.2534 (2.3850) Prec@1 46.484 (45.892) Prec@5 74.219 (71.398)
Epoch: [44][3370/5005] Time 0.212 (0.210) Data 0.041 (0.047) Loss 2.4309 (2.3851) Prec@1 41.406 (45.891) Prec@5 72.266 (71.394)
Epoch: [44][3380/5005] Time 0.208 (0.210) Data 0.042 (0.047) Loss 2.3354 (2.3850) Prec@1 46.484 (45.894) Prec@5 74.609 (71.396)
Epoch: [44][3390/5005] Time 0.206 (0.210) Data 0.043 (0.047) Loss 2.4077 (2.3851) Prec@1 47.266 (45.895) Prec@5 71.875 (71.393)
Epoch: [44][3400/5005] Time 0.205 (0.210) Data 0.041 (0.047) Loss 2.2594 (2.3852) Prec@1 46.875 (45.893) Prec@5 75.391 (71.391)
Epoch: [44][3410/5005] Time 0.210 (0.210) Data 0.043 (0.047) Loss 2.3950 (2.3852) Prec@1 44.531 (45.894) Prec@5 71.094 (71.391)
Epoch: [44][3420/5005] Time 0.212 (0.210) Data 0.043 (0.047) Loss 2.3425 (2.3850) Prec@1 48.828 (45.894) Prec@5 73.828 (71.394)
Epoch: [44][3430/5005] Time 0.205 (0.210) Data 0.052 (0.047) Loss 2.3553 (2.3851) Prec@1 48.438 (45.894) Prec@5 71.094 (71.393)
Epoch: [44][3440/5005] Time 0.207 (0.210) Data 0.050 (0.047) Loss 2.3861 (2.3850) Prec@1 47.266 (45.896) Prec@5 69.922 (71.392)
Epoch: [44][3450/5005] Time 0.209 (0.210) Data 0.040 (0.047) Loss 2.1676 (2.3848) Prec@1 51.562 (45.901) Prec@5 77.734 (71.395)
Epoch: [44][3460/5005] Time 0.214 (0.210) Data 0.044 (0.047) Loss 2.4281 (2.3848) Prec@1 44.922 (45.902) Prec@5 69.531 (71.396)
Epoch: [44][3470/5005] Time 0.202 (0.210) Data 0.046 (0.047) Loss 2.2162 (2.3846) Prec@1 47.266 (45.907) Prec@5 75.391 (71.401)
Epoch: [44][3480/5005] Time 0.211 (0.210) Data 0.048 (0.047) Loss 2.2710 (2.3844) Prec@1 49.219 (45.911) Prec@5 75.391 (71.406)
Epoch: [44][3490/5005] Time 0.205 (0.210) Data 0.046 (0.047) Loss 2.4678 (2.3845) Prec@1 41.406 (45.908) Prec@5 70.703 (71.403)
Epoch: [44][3500/5005] Time 0.198 (0.210) Data 0.057 (0.047) Loss 2.1887 (2.3846) Prec@1 50.000 (45.908) Prec@5 75.781 (71.404)
Epoch: [44][3510/5005] Time 0.206 (0.210) Data 0.043 (0.047) Loss 2.2451 (2.3844) Prec@1 46.484 (45.909) Prec@5 75.391 (71.407)
Epoch: [44][3520/5005] Time 0.213 (0.210) Data 0.048 (0.047) Loss 2.4543 (2.3844) Prec@1 48.047 (45.908) Prec@5 70.312 (71.407)
Epoch: [44][3530/5005] Time 0.214 (0.210) Data 0.042 (0.047) Loss 2.3355 (2.3843) Prec@1 43.359 (45.910) Prec@5 73.047 (71.410)
Epoch: [44][3540/5005] Time 0.203 (0.210) Data 0.041 (0.047) Loss 2.3427 (2.3841) Prec@1 48.828 (45.915) Prec@5 72.266 (71.411)
Epoch: [44][3550/5005] Time 0.205 (0.210) Data 0.047 (0.047) Loss 2.4693 (2.3840) Prec@1 45.703 (45.918) Prec@5 69.922 (71.412)
Epoch: [44][3560/5005] Time 0.210 (0.210) Data 0.042 (0.047) Loss 2.5288 (2.3841) Prec@1 44.141 (45.920) Prec@5 64.453 (71.409)
Epoch: [44][3570/5005] Time 0.210 (0.210) Data 0.042 (0.047) Loss 2.3202 (2.3841) Prec@1 47.266 (45.918) Prec@5 73.828 (71.411)
Epoch: [44][3580/5005] Time 0.213 (0.210) Data 0.043 (0.047) Loss 2.3632 (2.3841) Prec@1 48.047 (45.916) Prec@5 71.875 (71.414)
Epoch: [44][3590/5005] Time 0.202 (0.210) Data 0.053 (0.047) Loss 2.4683 (2.3838) Prec@1 41.406 (45.921) Prec@5 69.141 (71.420)
Epoch: [44][3600/5005] Time 0.209 (0.210) Data 0.060 (0.047) Loss 2.4395 (2.3836) Prec@1 50.391 (45.926) Prec@5 68.359 (71.422)
Epoch: [44][3610/5005] Time 0.205 (0.210) Data 0.061 (0.047) Loss 2.1795 (2.3836) Prec@1 49.219 (45.927) Prec@5 74.609 (71.425)
Epoch: [44][3620/5005] Time 0.202 (0.210) Data 0.067 (0.047) Loss 2.5716 (2.3834) Prec@1 39.844 (45.932) Prec@5 67.969 (71.428)
Epoch: [44][3630/5005] Time 0.206 (0.210) Data 0.043 (0.047) Loss 2.6328 (2.3834) Prec@1 42.578 (45.930) Prec@5 66.016 (71.426)
Epoch: [44][3640/5005] Time 0.198 (0.210) Data 0.051 (0.047) Loss 2.4288 (2.3835) Prec@1 45.703 (45.929) Prec@5 69.531 (71.424)
Epoch: [44][3650/5005] Time 0.206 (0.210) Data 0.058 (0.047) Loss 2.2544 (2.3836) Prec@1 47.266 (45.925) Prec@5 75.000 (71.422)
Epoch: [44][3660/5005] Time 0.213 (0.210) Data 0.044 (0.047) Loss 2.5252 (2.3835) Prec@1 42.188 (45.927) Prec@5 69.531 (71.425)
Epoch: [44][3670/5005] Time 0.207 (0.210) Data 0.043 (0.047) Loss 2.4731 (2.3835) Prec@1 44.922 (45.926) Prec@5 67.188 (71.424)
Epoch: [44][3680/5005] Time 0.213 (0.210) Data 0.044 (0.047) Loss 2.2483 (2.3837) Prec@1 48.828 (45.923) Prec@5 75.781 (71.421)
Epoch: [44][3690/5005] Time 0.208 (0.210) Data 0.042 (0.047) Loss 2.2036 (2.3837) Prec@1 47.266 (45.924) Prec@5 71.484 (71.422)
Epoch: [44][3700/5005] Time 0.211 (0.210) Data 0.044 (0.047) Loss 2.3972 (2.3836) Prec@1 45.703 (45.927) Prec@5 72.656 (71.424)
Epoch: [44][3710/5005] Time 0.199 (0.210) Data 0.041 (0.047) Loss 2.2647 (2.3838) Prec@1 47.656 (45.923) Prec@5 73.828 (71.420)
Epoch: [44][3720/5005] Time 0.212 (0.210) Data 0.042 (0.047) Loss 2.4704 (2.3838) Prec@1 45.703 (45.922) Prec@5 69.922 (71.423)
Epoch: [44][3730/5005] Time 0.205 (0.210) Data 0.048 (0.047) Loss 2.2557 (2.3836) Prec@1 50.391 (45.925) Prec@5 76.172 (71.426)
Epoch: [44][3740/5005] Time 0.213 (0.210) Data 0.042 (0.047) Loss 2.3422 (2.3834) Prec@1 51.562 (45.932) Prec@5 70.312 (71.430)
Epoch: [44][3750/5005] Time 0.206 (0.210) Data 0.040 (0.047) Loss 2.2098 (2.3836) Prec@1 48.438 (45.930) Prec@5 73.828 (71.429)
Epoch: [44][3760/5005] Time 0.197 (0.210) Data 0.049 (0.047) Loss 2.3944 (2.3837) Prec@1 47.266 (45.928) Prec@5 71.875 (71.428)
Epoch: [44][3770/5005] Time 0.211 (0.210) Data 0.043 (0.047) Loss 2.4067 (2.3835) Prec@1 43.750 (45.928) Prec@5 68.750 (71.427)
Epoch: [44][3780/5005] Time 0.211 (0.210) Data 0.043 (0.047) Loss 2.3570 (2.3834) Prec@1 46.094 (45.928) Prec@5 69.141 (71.430)
Epoch: [44][3790/5005] Time 0.214 (0.210) Data 0.045 (0.047) Loss 2.5321 (2.3835) Prec@1 47.266 (45.925) Prec@5 71.094 (71.432)
Epoch: [44][3800/5005] Time 0.209 (0.210) Data 0.046 (0.047) Loss 2.2888 (2.3837) Prec@1 44.922 (45.924) Prec@5 75.781 (71.428)
Epoch: [44][3810/5005] Time 0.208 (0.210) Data 0.041 (0.047) Loss 2.3730 (2.3838) Prec@1 50.000 (45.922) Prec@5 68.750 (71.425)
Epoch: [44][3820/5005] Time 0.211 (0.210) Data 0.043 (0.047) Loss 2.3095 (2.3837) Prec@1 47.266 (45.925) Prec@5 75.391 (71.430)
Epoch: [44][3830/5005] Time 0.210 (0.210) Data 0.045 (0.047) Loss 2.4136 (2.3835) Prec@1 42.578 (45.927) Prec@5 70.703 (71.432)
Epoch: [44][3840/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.4759 (2.3835) Prec@1 44.531 (45.926) Prec@5 67.188 (71.430)
Epoch: [44][3850/5005] Time 0.210 (0.210) Data 0.047 (0.047) Loss 2.4391 (2.3833) Prec@1 43.359 (45.927) Prec@5 69.922 (71.434)
Epoch: [44][3860/5005] Time 0.212 (0.210) Data 0.054 (0.047) Loss 2.0440 (2.3833) Prec@1 53.906 (45.928) Prec@5 78.906 (71.436)
Epoch: [44][3870/5005] Time 0.208 (0.210) Data 0.047 (0.047) Loss 2.4453 (2.3832) Prec@1 40.234 (45.924) Prec@5 71.484 (71.433)
Epoch: [44][3880/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.3348 (2.3832) Prec@1 46.875 (45.926) Prec@5 69.922 (71.433)
Epoch: [44][3890/5005] Time 0.204 (0.210) Data 0.060 (0.047) Loss 2.5514 (2.3832) Prec@1 44.922 (45.926) Prec@5 69.141 (71.432)
Epoch: [44][3900/5005] Time 0.212 (0.210) Data 0.042 (0.047) Loss 2.5385 (2.3833) Prec@1 42.188 (45.920) Prec@5 70.312 (71.432)
Epoch: [44][3910/5005] Time 0.209 (0.210) Data 0.047 (0.047) Loss 2.3969 (2.3833) Prec@1 46.094 (45.918) Prec@5 70.703 (71.432)
Epoch: [44][3920/5005] Time 0.200 (0.210) Data 0.046 (0.047) Loss 2.3773 (2.3833) Prec@1 42.969 (45.920) Prec@5 69.922 (71.431)
Epoch: [44][3930/5005] Time 0.214 (0.210) Data 0.043 (0.047) Loss 2.1720 (2.3831) Prec@1 48.047 (45.926) Prec@5 75.000 (71.434)
Epoch: [44][3940/5005] Time 0.205 (0.210) Data 0.046 (0.047) Loss 2.3282 (2.3831) Prec@1 48.438 (45.926) Prec@5 70.312 (71.434)
Epoch: [44][3950/5005] Time 0.201 (0.210) Data 0.045 (0.047) Loss 2.2724 (2.3830) Prec@1 47.266 (45.927) Prec@5 72.266 (71.439)
Epoch: [44][3960/5005] Time 0.209 (0.210) Data 0.044 (0.047) Loss 2.5039 (2.3831) Prec@1 42.969 (45.924) Prec@5 68.359 (71.439)
Epoch: [44][3970/5005] Time 0.206 (0.210) Data 0.043 (0.047) Loss 2.3794 (2.3829) Prec@1 46.094 (45.926) Prec@5 71.484 (71.440)
Epoch: [44][3980/5005] Time 0.216 (0.210) Data 0.046 (0.047) Loss 2.2154 (2.3829) Prec@1 47.656 (45.927) Prec@5 73.438 (71.441)
Epoch: [44][3990/5005] Time 0.210 (0.210) Data 0.047 (0.047) Loss 2.5341 (2.3830) Prec@1 48.047 (45.925) Prec@5 71.484 (71.440)
Epoch: [44][4000/5005] Time 0.209 (0.210) Data 0.051 (0.047) Loss 2.1778 (2.3829) Prec@1 50.000 (45.925) Prec@5 73.047 (71.442)
Epoch: [44][4010/5005] Time 0.204 (0.210) Data 0.042 (0.047) Loss 2.5041 (2.3828) Prec@1 43.359 (45.926) Prec@5 67.188 (71.443)
Epoch: [44][4020/5005] Time 0.197 (0.210) Data 0.050 (0.047) Loss 2.4956 (2.3828) Prec@1 44.922 (45.928) Prec@5 69.141 (71.443)
Epoch: [44][4030/5005] Time 0.212 (0.210) Data 0.042 (0.047) Loss 2.6243 (2.3830) Prec@1 43.359 (45.923) Prec@5 65.234 (71.439)
Epoch: [44][4040/5005] Time 0.205 (0.210) Data 0.042 (0.047) Loss 2.4650 (2.3832) Prec@1 43.359 (45.919) Prec@5 66.016 (71.436)
Epoch: [44][4050/5005] Time 0.210 (0.210) Data 0.043 (0.047) Loss 2.4949 (2.3831) Prec@1 44.531 (45.922) Prec@5 71.094 (71.438)
Epoch: [44][4060/5005] Time 0.207 (0.210) Data 0.043 (0.047) Loss 2.3767 (2.3831) Prec@1 48.828 (45.922) Prec@5 69.141 (71.437)
Epoch: [44][4070/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.5533 (2.3831) Prec@1 42.578 (45.920) Prec@5 70.312 (71.437)
Epoch: [44][4080/5005] Time 0.211 (0.210) Data 0.044 (0.047) Loss 2.3079 (2.3831) Prec@1 46.094 (45.921) Prec@5 71.094 (71.435)
Epoch: [44][4090/5005] Time 0.213 (0.210) Data 0.042 (0.047) Loss 2.4498 (2.3831) Prec@1 46.484 (45.918) Prec@5 68.750 (71.433)
Epoch: [44][4100/5005] Time 0.207 (0.210) Data 0.042 (0.047) Loss 2.3537 (2.3830) Prec@1 41.016 (45.920) Prec@5 72.266 (71.434)
Epoch: [44][4110/5005] Time 0.198 (0.210) Data 0.041 (0.047) Loss 2.6195 (2.3829) Prec@1 39.844 (45.918) Prec@5 68.359 (71.437)
Epoch: [44][4120/5005] Time 0.197 (0.210) Data 0.040 (0.047) Loss 2.4010 (2.3827) Prec@1 48.047 (45.920) Prec@5 70.703 (71.439)
Epoch: [44][4130/5005] Time 0.197 (0.210) Data 0.046 (0.047) Loss 2.5693 (2.3828) Prec@1 40.625 (45.919) Prec@5 66.016 (71.438)
Epoch: [44][4140/5005] Time 0.206 (0.210) Data 0.042 (0.047) Loss 2.4211 (2.3827) Prec@1 46.875 (45.923) Prec@5 71.094 (71.441)
Epoch: [44][4150/5005] Time 0.200 (0.210) Data 0.046 (0.047) Loss 2.6219 (2.3827) Prec@1 40.625 (45.923) Prec@5 67.578 (71.439)
Epoch: [44][4160/5005] Time 0.200 (0.210) Data 0.046 (0.047) Loss 2.2304 (2.3829) Prec@1 49.219 (45.920) Prec@5 77.734 (71.438)
Epoch: [44][4170/5005] Time 0.204 (0.210) Data 0.043 (0.047) Loss 2.1663 (2.3828) Prec@1 48.047 (45.925) Prec@5 75.000 (71.441)
Epoch: [44][4180/5005] Time 0.204 (0.210) Data 0.052 (0.047) Loss 2.4298 (2.3827) Prec@1 46.484 (45.925) Prec@5 70.703 (71.442)
Epoch: [44][4190/5005] Time 0.201 (0.210) Data 0.047 (0.047) Loss 2.3663 (2.3827) Prec@1 46.875 (45.926) Prec@5 70.312 (71.441)
Epoch: [44][4200/5005] Time 0.214 (0.210) Data 0.042 (0.047) Loss 2.2970 (2.3827) Prec@1 48.047 (45.927) Prec@5 73.438 (71.443)
Epoch: [44][4210/5005] Time 0.204 (0.210) Data 0.047 (0.047) Loss 2.2882 (2.3826) Prec@1 44.922 (45.925) Prec@5 75.391 (71.444)
Epoch: [44][4220/5005] Time 0.210 (0.210) Data 0.042 (0.047) Loss 2.5525 (2.3828) Prec@1 41.016 (45.922) Prec@5 66.797 (71.439)
Epoch: [44][4230/5005] Time 0.204 (0.210) Data 0.041 (0.047) Loss 2.5084 (2.3828) Prec@1 44.141 (45.920) Prec@5 68.750 (71.438)
Epoch: [44][4240/5005] Time 0.205 (0.210) Data 0.047 (0.047) Loss 2.2741 (2.3828) Prec@1 48.047 (45.918) Prec@5 73.438 (71.438)
Epoch: [44][4250/5005] Time 0.206 (0.210) Data 0.044 (0.047) Loss 2.2902 (2.3827) Prec@1 48.047 (45.920) Prec@5 73.438 (71.439)
Epoch: [44][4260/5005] Time 0.212 (0.210) Data 0.042 (0.047) Loss 2.3359 (2.3828) Prec@1 44.531 (45.916) Prec@5 70.312 (71.438)
Epoch: [44][4270/5005] Time 0.214 (0.210) Data 0.046 (0.047) Loss 2.6080 (2.3829) Prec@1 40.625 (45.915) Prec@5 67.969 (71.436)
Epoch: [44][4280/5005] Time 0.206 (0.210) Data 0.041 (0.047) Loss 2.5515 (2.3829) Prec@1 40.625 (45.915) Prec@5 69.922 (71.436)
Epoch: [44][4290/5005] Time 0.201 (0.210) Data 0.041 (0.047) Loss 2.6205 (2.3829) Prec@1 42.188 (45.915) Prec@5 64.844 (71.435)
Epoch: [44][4300/5005] Time 0.207 (0.210) Data 0.040 (0.047) Loss 2.2133 (2.3827) Prec@1 50.000 (45.917) Prec@5 70.312 (71.438)
Epoch: [44][4310/5005] Time 0.217 (0.210) Data 0.044 (0.047) Loss 2.3760 (2.3828) Prec@1 44.141 (45.918) Prec@5 71.484 (71.437)
Epoch: [44][4320/5005] Time 0.213 (0.210) Data 0.060 (0.047) Loss 2.3787 (2.3827) Prec@1 47.656 (45.918) Prec@5 74.219 (71.439)
Epoch: [44][4330/5005] Time 0.207 (0.210) Data 0.043 (0.047) Loss 2.3025 (2.3828) Prec@1 46.094 (45.921) Prec@5 72.656 (71.439)
Epoch: [44][4340/5005] Time 0.208 (0.210) Data 0.050 (0.047) Loss 2.3420 (2.3829) Prec@1 48.438 (45.919) Prec@5 69.531 (71.437)
Epoch: [44][4350/5005] Time 0.213 (0.210) Data 0.046 (0.047) Loss 2.4197 (2.3828) Prec@1 46.875 (45.923) Prec@5 71.094 (71.438)
Epoch: [44][4360/5005] Time 0.209 (0.210) Data 0.042 (0.047) Loss 2.2405 (2.3827) Prec@1 46.484 (45.926) Prec@5 72.266 (71.440)
Epoch: [44][4370/5005] Time 0.199 (0.210) Data 0.058 (0.047) Loss 2.1912 (2.3827) Prec@1 50.000 (45.928) Prec@5 75.781 (71.440)
Epoch: [44][4380/5005] Time 0.201 (0.210) Data 0.042 (0.047) Loss 2.4797 (2.3827) Prec@1 40.234 (45.926) Prec@5 67.188 (71.440)
Epoch: [44][4390/5005] Time 0.207 (0.210) Data 0.041 (0.047) Loss 2.4504 (2.3825) Prec@1 48.047 (45.930) Prec@5 71.484 (71.442)
Epoch: [44][4400/5005] Time 0.213 (0.210) Data 0.046 (0.047) Loss 2.2487 (2.3825) Prec@1 47.656 (45.930) Prec@5 72.266 (71.441)
Epoch: [44][4410/5005] Time 0.205 (0.210) Data 0.055 (0.047) Loss 2.3040 (2.3824) Prec@1 46.484 (45.930) Prec@5 72.656 (71.444)
Epoch: [44][4420/5005] Time 0.213 (0.210) Data 0.042 (0.047) Loss 2.1234 (2.3823) Prec@1 51.562 (45.931) Prec@5 74.219 (71.443)
Epoch: [44][4430/5005] Time 0.205 (0.210) Data 0.045 (0.047) Loss 2.3348 (2.3820) Prec@1 43.359 (45.936) Prec@5 73.438 (71.448)
Epoch: [44][4440/5005] Time 0.210 (0.210) Data 0.041 (0.047) Loss 2.4869 (2.3821) Prec@1 44.531 (45.934) Prec@5 72.656 (71.449)
Epoch: [44][4450/5005] Time 0.216 (0.210) Data 0.044 (0.047) Loss 2.2325 (2.3821) Prec@1 48.828 (45.934) Prec@5 75.000 (71.448)
Epoch: [44][4460/5005] Time 0.199 (0.210) Data 0.042 (0.047) Loss 2.5902 (2.3821) Prec@1 43.750 (45.935) Prec@5 67.578 (71.448)
Epoch: [44][4470/5005] Time 0.207 (0.210) Data 0.042 (0.047) Loss 2.2942 (2.3821) Prec@1 47.266 (45.933) Prec@5 71.875 (71.447)
Epoch: [44][4480/5005] Time 0.208 (0.210) Data 0.041 (0.047) Loss 2.2159 (2.3823) Prec@1 48.047 (45.930) Prec@5 72.266 (71.443)
Epoch: [44][4490/5005] Time 0.204 (0.210) Data 0.042 (0.047) Loss 2.3392 (2.3823) Prec@1 48.047 (45.930) Prec@5 71.875 (71.444)
Epoch: [44][4500/5005] Time 0.210 (0.210) Data 0.041 (0.047) Loss 2.3511 (2.3823) Prec@1 45.312 (45.928) Prec@5 72.656 (71.444)
Epoch: [44][4510/5005] Time 0.213 (0.210) Data 0.043 (0.047) Loss 2.2373 (2.3824) Prec@1 50.000 (45.925) Prec@5 74.609 (71.443)
Epoch: [44][4520/5005] Time 0.214 (0.210) Data 0.044 (0.047) Loss 2.5053 (2.3824) Prec@1 43.750 (45.925) Prec@5 71.875 (71.446)
Epoch: [44][4530/5005] Time 0.211 (0.210) Data 0.042 (0.047) Loss 2.3125 (2.3823) Prec@1 42.969 (45.925) Prec@5 73.438 (71.446)
Epoch: [44][4540/5005] Time 0.215 (0.210) Data 0.043 (0.047) Loss 2.6125 (2.3825) Prec@1 42.188 (45.921) Prec@5 69.531 (71.443)
Epoch: [44][4550/5005] Time 0.206 (0.210) Data 0.041 (0.047) Loss 2.3274 (2.3825) Prec@1 49.609 (45.923) Prec@5 69.922 (71.442)
Epoch: [44][4560/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.3076 (2.3825) Prec@1 47.656 (45.925) Prec@5 72.656 (71.442)
Epoch: [44][4570/5005] Time 0.211 (0.210) Data 0.044 (0.047) Loss 2.4780 (2.3824) Prec@1 48.047 (45.927) Prec@5 68.750 (71.442)
Epoch: [44][4580/5005] Time 0.211 (0.210) Data 0.044 (0.047) Loss 2.5244 (2.3823) Prec@1 43.750 (45.928) Prec@5 67.578 (71.442)
Epoch: [44][4590/5005] Time 0.204 (0.210) Data 0.042 (0.047) Loss 2.2376 (2.3824) Prec@1 49.219 (45.927) Prec@5 76.172 (71.440)
Epoch: [44][4600/5005] Time 0.209 (0.210) Data 0.048 (0.047) Loss 2.2019 (2.3824) Prec@1 52.734 (45.928) Prec@5 74.219 (71.440)
Epoch: [44][4610/5005] Time 0.214 (0.210) Data 0.045 (0.047) Loss 2.1349 (2.3824) Prec@1 50.000 (45.932) Prec@5 73.438 (71.439)
Epoch: [44][4620/5005] Time 0.202 (0.210) Data 0.044 (0.047) Loss 2.2036 (2.3823) Prec@1 49.609 (45.935) Prec@5 71.484 (71.440)
Epoch: [44][4630/5005] Time 0.211 (0.210) Data 0.042 (0.047) Loss 2.2801 (2.3822) Prec@1 46.094 (45.934) Prec@5 71.094 (71.442)
Epoch: [44][4640/5005] Time 0.207 (0.210) Data 0.043 (0.047) Loss 2.3568 (2.3821) Prec@1 50.000 (45.937) Prec@5 69.922 (71.444)
Epoch: [44][4650/5005] Time 0.207 (0.210) Data 0.043 (0.047) Loss 2.4582 (2.3820) Prec@1 46.484 (45.938) Prec@5 69.141 (71.445)
Epoch: [44][4660/5005] Time 0.213 (0.210) Data 0.047 (0.047) Loss 2.6668 (2.3821) Prec@1 39.844 (45.938) Prec@5 65.625 (71.445)
Epoch: [44][4670/5005] Time 0.200 (0.210) Data 0.045 (0.047) Loss 2.2675 (2.3820) Prec@1 46.484 (45.938) Prec@5 71.875 (71.444)
Epoch: [44][4680/5005] Time 0.211 (0.210) Data 0.043 (0.047) Loss 2.3597 (2.3819) Prec@1 45.703 (45.941) Prec@5 71.875 (71.443)
Epoch: [44][4690/5005] Time 0.204 (0.210) Data 0.044 (0.047) Loss 2.4005 (2.3820) Prec@1 43.359 (45.937) Prec@5 72.266 (71.442)
Epoch: [44][4700/5005] Time 0.210 (0.210) Data 0.041 (0.047) Loss 2.2164 (2.3820) Prec@1 46.484 (45.940) Prec@5 73.438 (71.444)
Epoch: [44][4710/5005] Time 0.205 (0.210) Data 0.041 (0.047) Loss 2.2612 (2.3817) Prec@1 48.828 (45.946) Prec@5 77.344 (71.450)
Epoch: [44][4720/5005] Time 0.210 (0.210) Data 0.041 (0.047) Loss 2.2606 (2.3817) Prec@1 48.438 (45.946) Prec@5 75.781 (71.448)
Epoch: [44][4730/5005] Time 0.205 (0.210) Data 0.047 (0.047) Loss 2.4036 (2.3818) Prec@1 43.359 (45.943) Prec@5 71.484 (71.445)
Epoch: [44][4740/5005] Time 0.206 (0.210) Data 0.041 (0.047) Loss 2.2274 (2.3818) Prec@1 49.219 (45.946) Prec@5 75.781 (71.448)
Epoch: [44][4750/5005] Time 0.206 (0.210) Data 0.053 (0.047) Loss 2.3415 (2.3817) Prec@1 45.312 (45.947) Prec@5 67.969 (71.448)
Epoch: [44][4760/5005] Time 0.203 (0.210) Data 0.042 (0.047) Loss 2.5718 (2.3816) Prec@1 41.797 (45.947) Prec@5 66.406 (71.450)
Epoch: [44][4770/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.1768 (2.3814) Prec@1 50.781 (45.951) Prec@5 75.781 (71.455)
Epoch: [44][4780/5005] Time 0.207 (0.210) Data 0.043 (0.047) Loss 2.4014 (2.3814) Prec@1 48.438 (45.952) Prec@5 69.922 (71.454)
Epoch: [44][4790/5005] Time 0.210 (0.210) Data 0.042 (0.047) Loss 2.5263 (2.3814) Prec@1 43.359 (45.956) Prec@5 69.531 (71.454)
Epoch: [44][4800/5005] Time 0.206 (0.210) Data 0.044 (0.047) Loss 2.3024 (2.3812) Prec@1 48.047 (45.960) Prec@5 71.094 (71.456)
Epoch: [44][4810/5005] Time 0.213 (0.210) Data 0.041 (0.047) Loss 2.4827 (2.3812) Prec@1 44.141 (45.961) Prec@5 68.359 (71.457)
Epoch: [44][4820/5005] Time 0.215 (0.210) Data 0.043 (0.047) Loss 2.5316 (2.3810) Prec@1 42.578 (45.962) Prec@5 66.797 (71.460)
Epoch: [44][4830/5005] Time 0.213 (0.210) Data 0.041 (0.047) Loss 2.3712 (2.3809) Prec@1 46.094 (45.967) Prec@5 70.312 (71.461)
Epoch: [44][4840/5005] Time 0.208 (0.210) Data 0.044 (0.047) Loss 2.1985 (2.3808) Prec@1 49.609 (45.969) Prec@5 73.828 (71.462)
Epoch: [44][4850/5005] Time 0.211 (0.210) Data 0.043 (0.047) Loss 2.6399 (2.3810) Prec@1 39.453 (45.965) Prec@5 65.234 (71.458)
Epoch: [44][4860/5005] Time 0.205 (0.210) Data 0.042 (0.047) Loss 2.4578 (2.3809) Prec@1 44.141 (45.965) Prec@5 72.656 (71.458)
Epoch: [44][4870/5005] Time 0.874 (0.210) Data 0.038 (0.047) Loss 2.2567 (2.3810) Prec@1 52.344 (45.967) Prec@5 72.656 (71.455)
Epoch: [44][4880/5005] Time 0.202 (0.210) Data 0.039 (0.047) Loss 2.2519 (2.3809) Prec@1 49.219 (45.970) Prec@5 71.484 (71.455)
Epoch: [44][4890/5005] Time 0.204 (0.210) Data 0.046 (0.047) Loss 2.3974 (2.3809) Prec@1 42.188 (45.969) Prec@5 72.266 (71.456)
Epoch: [44][4900/5005] Time 0.212 (0.210) Data 0.040 (0.047) Loss 2.2506 (2.3808) Prec@1 50.000 (45.969) Prec@5 71.094 (71.455)
Epoch: [44][4910/5005] Time 0.197 (0.210) Data 0.042 (0.047) Loss 2.4025 (2.3806) Prec@1 42.969 (45.972) Prec@5 71.094 (71.459)
Epoch: [44][4920/5005] Time 0.204 (0.210) Data 0.060 (0.047) Loss 2.2113 (2.3804) Prec@1 48.438 (45.973) Prec@5 71.875 (71.459)
Epoch: [44][4930/5005] Time 0.209 (0.210) Data 0.044 (0.047) Loss 2.5563 (2.3804) Prec@1 46.094 (45.972) Prec@5 66.797 (71.460)
Epoch: [44][4940/5005] Time 0.206 (0.210) Data 0.041 (0.047) Loss 2.4450 (2.3804) Prec@1 46.875 (45.973) Prec@5 69.531 (71.459)
Epoch: [44][4950/5005] Time 0.212 (0.210) Data 0.039 (0.047) Loss 2.0251 (2.3805) Prec@1 49.219 (45.971) Prec@5 76.562 (71.455)
Epoch: [44][4960/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.5576 (2.3805) Prec@1 44.531 (45.969) Prec@5 71.094 (71.455)
Epoch: [44][4970/5005] Time 0.219 (0.210) Data 0.045 (0.047) Loss 2.5487 (2.3805) Prec@1 41.016 (45.971) Prec@5 69.141 (71.458)
Epoch: [44][4980/5005] Time 0.193 (0.210) Data 0.044 (0.047) Loss 2.3644 (2.3803) Prec@1 44.922 (45.975) Prec@5 73.438 (71.460)
Epoch: [44][4990/5005] Time 0.207 (0.210) Data 0.022 (0.047) Loss 2.4960 (2.3802) Prec@1 41.016 (45.974) Prec@5 70.703 (71.462)
Epoch: [44][5000/5005] Time 0.206 (0.210) Data 0.021 (0.047) Loss 2.5260 (2.3802) Prec@1 39.844 (45.972) Prec@5 69.531 (71.463)
Test: [0/196] Time 1.176 (1.176) Loss 2.4797 (2.4797) Prec@1 48.828 (48.828) Prec@5 67.969 (67.969)
Test: [10/196] Time 0.231 (0.285) Loss 2.5421 (2.6148) Prec@1 43.750 (42.827) Prec@5 71.094 (67.756)
Test: [20/196] Time 0.081 (0.218) Loss 2.4914 (2.6211) Prec@1 45.312 (42.504) Prec@5 73.828 (68.062)
Test: [30/196] Time 0.044 (0.199) Loss 2.4748 (2.6286) Prec@1 42.578 (42.175) Prec@5 70.312 (67.452)
Test: [40/196] Time 0.238 (0.209) Loss 2.3143 (2.6260) Prec@1 50.391 (42.340) Prec@5 74.609 (67.607)
Test: [50/196] Time 0.042 (0.198) Loss 2.6879 (2.6299) Prec@1 42.188 (42.325) Prec@5 69.922 (67.616)
Test: [60/196] Time 0.195 (0.190) Loss 2.5271 (2.6165) Prec@1 44.531 (42.796) Prec@5 67.578 (67.719)
Test: [70/196] Time 0.111 (0.186) Loss 2.5339 (2.6095) Prec@1 45.703 (42.793) Prec@5 68.750 (67.875)
Test: [80/196] Time 0.043 (0.192) Loss 2.4501 (2.6150) Prec@1 50.391 (42.766) Prec@5 76.172 (67.906)
Test: [90/196] Time 0.044 (0.190) Loss 2.6677 (2.6183) Prec@1 45.703 (42.724) Prec@5 65.625 (67.934)
Test: [100/196] Time 0.044 (0.190) Loss 2.7144 (2.6166) Prec@1 40.625 (42.814) Prec@5 65.625 (68.050)
Test: [110/196] Time 0.042 (0.186) Loss 2.7620 (2.6187) Prec@1 41.406 (42.821) Prec@5 64.453 (68.081)
Test: [120/196] Time 0.193 (0.184) Loss 2.4373 (2.6163) Prec@1 41.797 (42.865) Prec@5 72.656 (68.159)
Test: [130/196] Time 0.042 (0.184) Loss 2.3009 (2.6136) Prec@1 44.531 (42.930) Prec@5 76.562 (68.192)
Test: [140/196] Time 0.044 (0.182) Loss 2.4387 (2.6154) Prec@1 50.391 (42.888) Prec@5 69.141 (68.182)
Test: [150/196] Time 0.441 (0.182) Loss 2.2066 (2.6124) Prec@1 50.391 (43.008) Prec@5 76.172 (68.258)
Test: [160/196] Time 0.150 (0.181) Loss 2.5265 (2.6104) Prec@1 50.000 (43.063) Prec@5 72.266 (68.272)
Test: [170/196] Time 0.163 (0.179) Loss 2.4790 (2.6125) Prec@1 46.484 (43.094) Prec@5 70.703 (68.259)
Test: [180/196] Time 0.042 (0.179) Loss 2.8667 (2.6177) Prec@1 37.891 (43.027) Prec@5 66.797 (68.169)
Test: [190/196] Time 0.044 (0.180) Loss 2.8101 (2.6199) Prec@1 38.672 (42.969) Prec@5 64.453 (68.059)
* Prec@1 42.962 Prec@5 68.070
Learning rate: 0.0001
Epoch: [45][0/5005] Time 1.062 (1.062) Data 0.960 (0.960) Loss 2.4378 (2.4378) Prec@1 42.188 (42.188) Prec@5 69.922 (69.922)
Epoch: [45][10/5005] Time 0.202 (0.286) Data 0.048 (0.132) Loss 2.4125 (2.4064) Prec@1 49.609 (44.886) Prec@5 69.922 (70.384)
Epoch: [45][20/5005] Time 0.201 (0.246) Data 0.057 (0.092) Loss 2.5006 (2.4160) Prec@1 44.531 (44.345) Prec@5 70.312 (70.778)
Epoch: [45][30/5005] Time 0.206 (0.233) Data 0.044 (0.078) Loss 2.3573 (2.3735) Prec@1 44.922 (45.237) Prec@5 72.656 (71.510)
Epoch: [45][40/5005] Time 0.214 (0.226) Data 0.043 (0.070) Loss 2.3071 (2.3761) Prec@1 48.047 (45.351) Prec@5 72.266 (71.494)
Epoch: [45][50/5005] Time 0.202 (0.222) Data 0.048 (0.066) Loss 2.3640 (2.3763) Prec@1 44.922 (45.458) Prec@5 72.266 (71.592)
Epoch: [45][60/5005] Time 0.195 (0.219) Data 0.056 (0.063) Loss 2.3114 (2.3771) Prec@1 46.094 (45.434) Prec@5 73.047 (71.612)
Epoch: [45][70/5005] Time 0.196 (0.217) Data 0.042 (0.061) Loss 2.4156 (2.3858) Prec@1 39.844 (45.246) Prec@5 70.703 (71.473)
Epoch: [45][80/5005] Time 0.203 (0.215) Data 0.042 (0.059) Loss 2.3385 (2.3798) Prec@1 46.875 (45.443) Prec@5 73.828 (71.634)
Epoch: [45][90/5005] Time 0.201 (0.213) Data 0.054 (0.058) Loss 2.4069 (2.3786) Prec@1 46.484 (45.643) Prec@5 69.531 (71.725)
Epoch: [45][100/5005] Time 0.194 (0.212) Data 0.046 (0.057) Loss 2.2280 (2.3814) Prec@1 43.359 (45.634) Prec@5 74.219 (71.639)
Epoch: [45][110/5005] Time 0.209 (0.211) Data 0.045 (0.057) Loss 2.6419 (2.3868) Prec@1 41.797 (45.615) Prec@5 67.578 (71.498)
Epoch: [45][120/5005] Time 0.201 (0.210) Data 0.046 (0.057) Loss 2.4322 (2.3880) Prec@1 42.188 (45.690) Prec@5 71.094 (71.462)
Epoch: [45][130/5005] Time 0.203 (0.209) Data 0.043 (0.056) Loss 2.4105 (2.3844) Prec@1 46.875 (45.775) Prec@5 72.656 (71.493)
Epoch: [45][140/5005] Time 0.203 (0.209) Data 0.039 (0.055) Loss 2.3932 (2.3829) Prec@1 42.578 (45.770) Prec@5 69.531 (71.479)
Epoch: [45][150/5005] Time 0.201 (0.208) Data 0.041 (0.054) Loss 2.4584 (2.3878) Prec@1 44.141 (45.703) Prec@5 66.797 (71.371)
Epoch: [45][160/5005] Time 0.207 (0.208) Data 0.043 (0.053) Loss 2.2994 (2.3909) Prec@1 49.219 (45.681) Prec@5 70.703 (71.317)
Epoch: [45][170/5005] Time 0.209 (0.208) Data 0.042 (0.053) Loss 2.3551 (2.3895) Prec@1 50.000 (45.772) Prec@5 74.609 (71.356)
Epoch: [45][180/5005] Time 0.222 (0.209) Data 0.044 (0.052) Loss 2.5146 (2.3902) Prec@1 44.531 (45.822) Prec@5 66.797 (71.355)
Epoch: [45][190/5005] Time 0.221 (0.209) Data 0.044 (0.052) Loss 2.5766 (2.3952) Prec@1 44.141 (45.748) Prec@5 65.625 (71.216)
Epoch: [45][200/5005] Time 0.219 (0.210) Data 0.043 (0.051) Loss 2.3756 (2.3965) Prec@1 44.531 (45.725) Prec@5 71.875 (71.205)
Epoch: [45][210/5005] Time 0.215 (0.210) Data 0.047 (0.051) Loss 2.2528 (2.3958) Prec@1 48.047 (45.718) Prec@5 74.609 (71.234)
Epoch: [45][220/5005] Time 0.230 (0.211) Data 0.043 (0.051) Loss 2.4515 (2.3961) Prec@1 48.828 (45.735) Prec@5 69.531 (71.230)
Epoch: [45][230/5005] Time 0.219 (0.211) Data 0.043 (0.051) Loss 2.4353 (2.3948) Prec@1 47.266 (45.788) Prec@5 69.141 (71.285)
Epoch: [45][240/5005] Time 0.216 (0.211) Data 0.043 (0.050) Loss 2.2960 (2.3940) Prec@1 45.703 (45.766) Prec@5 73.438 (71.295)
Epoch: [45][250/5005] Time 0.213 (0.211) Data 0.045 (0.050) Loss 2.4354 (2.3921) Prec@1 41.797 (45.797) Prec@5 71.094 (71.351)
Epoch: [45][260/5005] Time 0.215 (0.211) Data 0.043 (0.050) Loss 2.2248 (2.3919) Prec@1 44.922 (45.829) Prec@5 74.219 (71.353)
Epoch: [45][270/5005] Time 0.217 (0.211) Data 0.041 (0.049) Loss 2.2904 (2.3906) Prec@1 44.922 (45.805) Prec@5 73.047 (71.358)
Epoch: [45][280/5005] Time 0.211 (0.212) Data 0.043 (0.049) Loss 2.7991 (2.3933) Prec@1 37.891 (45.724) Prec@5 62.891 (71.279)
Epoch: [45][290/5005] Time 0.214 (0.212) Data 0.044 (0.049) Loss 2.2542 (2.3944) Prec@1 48.047 (45.704) Prec@5 74.219 (71.259)
Epoch: [45][300/5005] Time 0.206 (0.212) Data 0.043 (0.049) Loss 2.2574 (2.3934) Prec@1 45.703 (45.726) Prec@5 75.000 (71.275)
Epoch: [45][310/5005] Time 0.213 (0.212) Data 0.044 (0.049) Loss 2.2731 (2.3919) Prec@1 43.750 (45.740) Prec@5 70.703 (71.286)
Epoch: [45][320/5005] Time 0.208 (0.212) Data 0.044 (0.049) Loss 2.6372 (2.3929) Prec@1 39.453 (45.737) Prec@5 65.625 (71.274)
Epoch: [45][330/5005] Time 0.214 (0.212) Data 0.044 (0.049) Loss 2.1737 (2.3913) Prec@1 48.438 (45.794) Prec@5 76.172 (71.309)
Epoch: [45][340/5005] Time 0.210 (0.212) Data 0.052 (0.048) Loss 2.4909 (2.3949) Prec@1 42.578 (45.735) Prec@5 72.656 (71.251)
Epoch: [45][350/5005] Time 0.210 (0.212) Data 0.048 (0.049) Loss 2.5195 (2.3948) Prec@1 44.922 (45.720) Prec@5 67.578 (71.248)
Epoch: [45][360/5005] Time 0.213 (0.212) Data 0.043 (0.048) Loss 2.4861 (2.3948) Prec@1 41.797 (45.719) Prec@5 70.312 (71.240)
Epoch: [45][370/5005] Time 0.208 (0.212) Data 0.042 (0.048) Loss 2.3467 (2.3929) Prec@1 46.094 (45.733) Prec@5 70.703 (71.286)
Epoch: [45][380/5005] Time 0.211 (0.212) Data 0.047 (0.048) Loss 2.5692 (2.3945) Prec@1 44.531 (45.693) Prec@5 66.016 (71.259)
Epoch: [45][390/5005] Time 0.212 (0.212) Data 0.043 (0.048) Loss 2.3343 (2.3948) Prec@1 49.219 (45.671) Prec@5 70.312 (71.257)
Epoch: [45][400/5005] Time 0.212 (0.212) Data 0.048 (0.048) Loss 2.2152 (2.3938) Prec@1 47.266 (45.686) Prec@5 75.000 (71.268)
Epoch: [45][410/5005] Time 0.210 (0.212) Data 0.042 (0.048) Loss 2.2469 (2.3937) Prec@1 44.922 (45.669) Prec@5 73.047 (71.278)
Epoch: [45][420/5005] Time 0.216 (0.212) Data 0.043 (0.048) Loss 2.3653 (2.3935) Prec@1 47.266 (45.671) Prec@5 71.875 (71.293)
Epoch: [45][430/5005] Time 0.213 (0.212) Data 0.047 (0.048) Loss 2.3236 (2.3940) Prec@1 50.000 (45.641) Prec@5 70.703 (71.270)
Epoch: [45][440/5005] Time 0.214 (0.212) Data 0.047 (0.048) Loss 2.3409 (2.3934) Prec@1 47.266 (45.620) Prec@5 71.484 (71.279)
Epoch: [45][450/5005] Time 0.218 (0.212) Data 0.044 (0.048) Loss 2.2367 (2.3950) Prec@1 46.094 (45.565) Prec@5 72.656 (71.236)
Epoch: [45][460/5005] Time 0.214 (0.212) Data 0.042 (0.048) Loss 2.4635 (2.3954) Prec@1 44.531 (45.551) Prec@5 69.141 (71.234)
Epoch: [45][470/5005] Time 0.214 (0.212) Data 0.042 (0.048) Loss 2.3424 (2.3964) Prec@1 46.484 (45.544) Prec@5 72.266 (71.208)
Epoch: [45][480/5005] Time 0.215 (0.212) Data 0.043 (0.048) Loss 2.3788 (2.3959) Prec@1 49.219 (45.569) Prec@5 69.141 (71.220)
Epoch: [45][490/5005] Time 0.210 (0.212) Data 0.042 (0.047) Loss 2.3984 (2.3965) Prec@1 46.484 (45.550) Prec@5 73.828 (71.211)
Epoch: [45][500/5005] Time 0.216 (0.212) Data 0.043 (0.047) Loss 2.4552 (2.3983) Prec@1 43.750 (45.524) Prec@5 67.578 (71.175)
Epoch: [45][510/5005] Time 0.220 (0.212) Data 0.042 (0.047) Loss 2.5552 (2.3987) Prec@1 38.672 (45.526) Prec@5 67.578 (71.163)
Epoch: [45][520/5005] Time 0.207 (0.212) Data 0.044 (0.047) Loss 2.4387 (2.3984) Prec@1 44.922 (45.518) Prec@5 69.922 (71.169)
Epoch: [45][530/5005] Time 0.204 (0.212) Data 0.042 (0.047) Loss 2.3052 (2.3979) Prec@1 49.609 (45.532) Prec@5 73.047 (71.195)
Epoch: [45][540/5005] Time 0.207 (0.212) Data 0.044 (0.047) Loss 2.6087 (2.3991) Prec@1 43.359 (45.514) Prec@5 67.188 (71.171)
Epoch: [45][550/5005] Time 0.212 (0.212) Data 0.041 (0.047) Loss 2.3465 (2.3984) Prec@1 45.312 (45.535) Prec@5 73.828 (71.182)
Epoch: [45][560/5005] Time 0.210 (0.212) Data 0.040 (0.047) Loss 2.4605 (2.3988) Prec@1 43.359 (45.526) Prec@5 71.094 (71.182)
Epoch: [45][570/5005] Time 0.196 (0.212) Data 0.043 (0.047) Loss 2.4299 (2.3993) Prec@1 46.875 (45.531) Prec@5 72.266 (71.184)
Epoch: [45][580/5005] Time 0.213 (0.212) Data 0.048 (0.047) Loss 2.5144 (2.3987) Prec@1 41.797 (45.520) Prec@5 69.141 (71.187)
Epoch: [45][590/5005] Time 0.204 (0.212) Data 0.046 (0.047) Loss 2.5479 (2.3987) Prec@1 39.062 (45.513) Prec@5 69.141 (71.175)
Epoch: [45][600/5005] Time 0.217 (0.212) Data 0.044 (0.047) Loss 2.3575 (2.3992) Prec@1 45.703 (45.497) Prec@5 72.656 (71.180)
Epoch: [45][610/5005] Time 0.214 (0.212) Data 0.047 (0.047) Loss 2.2375 (2.3986) Prec@1 48.438 (45.522) Prec@5 73.047 (71.191)
Epoch: [45][620/5005] Time 0.212 (0.212) Data 0.046 (0.047) Loss 2.4619 (2.3986) Prec@1 41.016 (45.527) Prec@5 69.531 (71.186)
Epoch: [45][630/5005] Time 0.215 (0.212) Data 0.044 (0.047) Loss 2.7257 (2.3991) Prec@1 41.016 (45.513) Prec@5 66.016 (71.184)
Epoch: [45][640/5005] Time 0.213 (0.212) Data 0.045 (0.047) Loss 2.2332 (2.3994) Prec@1 46.875 (45.503) Prec@5 70.312 (71.170)
Epoch: [45][650/5005] Time 0.210 (0.212) Data 0.043 (0.047) Loss 2.4445 (2.3997) Prec@1 42.969 (45.485) Prec@5 66.406 (71.166)
Epoch: [45][660/5005] Time 0.204 (0.212) Data 0.043 (0.047) Loss 2.5832 (2.3997) Prec@1 41.016 (45.489) Prec@5 67.969 (71.181)
Epoch: [45][670/5005] Time 0.212 (0.212) Data 0.043 (0.047) Loss 2.5895 (2.3994) Prec@1 41.406 (45.501) Prec@5 71.875 (71.192)
Epoch: [45][680/5005] Time 0.218 (0.212) Data 0.042 (0.047) Loss 2.3003 (2.3994) Prec@1 46.094 (45.508) Prec@5 74.609 (71.182)
Epoch: [45][690/5005] Time 0.204 (0.212) Data 0.057 (0.047) Loss 2.2151 (2.3985) Prec@1 48.438 (45.529) Prec@5 76.953 (71.208)
Epoch: [45][700/5005] Time 0.206 (0.212) Data 0.039 (0.047) Loss 2.3300 (2.3985) Prec@1 45.703 (45.525) Prec@5 73.047 (71.207)
Epoch: [45][710/5005] Time 0.205 (0.212) Data 0.056 (0.047) Loss 2.2394 (2.3983) Prec@1 47.266 (45.539) Prec@5 71.094 (71.204)
Epoch: [45][720/5005] Time 0.210 (0.212) Data 0.042 (0.047) Loss 2.3247 (2.3977) Prec@1 43.750 (45.536) Prec@5 71.484 (71.206)
Epoch: [45][730/5005] Time 0.209 (0.212) Data 0.044 (0.047) Loss 2.6341 (2.3983) Prec@1 40.625 (45.537) Prec@5 68.750 (71.192)
Epoch: [45][740/5005] Time 0.212 (0.212) Data 0.044 (0.047) Loss 2.5917 (2.3986) Prec@1 42.188 (45.537) Prec@5 65.234 (71.181)
Epoch: [45][750/5005] Time 0.206 (0.212) Data 0.043 (0.047) Loss 2.1574 (2.3982) Prec@1 48.828 (45.536) Prec@5 75.781 (71.193)
Epoch: [45][760/5005] Time 0.213 (0.212) Data 0.044 (0.047) Loss 2.4228 (2.3984) Prec@1 45.312 (45.535) Prec@5 71.875 (71.198)
Epoch: [45][770/5005] Time 0.213 (0.212) Data 0.043 (0.047) Loss 2.2865 (2.3969) Prec@1 48.438 (45.567) Prec@5 74.219 (71.230)
Epoch: [45][780/5005] Time 0.211 (0.212) Data 0.044 (0.047) Loss 2.4788 (2.3970) Prec@1 41.797 (45.560) Prec@5 70.312 (71.226)
Epoch: [45][790/5005] Time 0.215 (0.212) Data 0.059 (0.047) Loss 2.3076 (2.3962) Prec@1 45.703 (45.585) Prec@5 72.656 (71.247)
Epoch: [45][800/5005] Time 0.211 (0.212) Data 0.057 (0.047) Loss 2.2936 (2.3953) Prec@1 48.047 (45.603) Prec@5 74.609 (71.262)
Epoch: [45][810/5005] Time 0.208 (0.212) Data 0.042 (0.047) Loss 2.5250 (2.3958) Prec@1 44.141 (45.598) Prec@5 67.188 (71.255)
Epoch: [45][820/5005] Time 0.215 (0.212) Data 0.044 (0.047) Loss 2.5316 (2.3960) Prec@1 41.406 (45.604) Prec@5 68.750 (71.242)
Epoch: [45][830/5005] Time 0.205 (0.212) Data 0.040 (0.047) Loss 2.3431 (2.3959) Prec@1 48.438 (45.611) Prec@5 71.094 (71.232)
Epoch: [45][840/5005] Time 0.211 (0.212) Data 0.043 (0.047) Loss 2.3534 (2.3959) Prec@1 46.875 (45.618) Prec@5 73.047 (71.238)
Epoch: [45][850/5005] Time 0.211 (0.212) Data 0.042 (0.047) Loss 2.6433 (2.3955) Prec@1 41.016 (45.632) Prec@5 70.703 (71.240)
Epoch: [45][860/5005] Time 0.207 (0.212) Data 0.043 (0.047) Loss 2.4056 (2.3961) Prec@1 44.922 (45.635) Prec@5 68.750 (71.224)
Epoch: [45][870/5005] Time 0.209 (0.212) Data 0.039 (0.047) Loss 2.4966 (2.3953) Prec@1 41.797 (45.648) Prec@5 70.312 (71.240)
Epoch: [45][880/5005] Time 0.213 (0.212) Data 0.042 (0.047) Loss 2.4271 (2.3959) Prec@1 45.703 (45.645) Prec@5 68.750 (71.218)
Epoch: [45][890/5005] Time 0.219 (0.212) Data 0.045 (0.047) Loss 2.5991 (2.3952) Prec@1 46.094 (45.661) Prec@5 67.578 (71.224)
Epoch: [45][900/5005] Time 0.206 (0.212) Data 0.042 (0.047) Loss 2.3701 (2.3949) Prec@1 40.625 (45.655) Prec@5 74.219 (71.238)
Epoch: [45][910/5005] Time 0.218 (0.212) Data 0.044 (0.046) Loss 2.2767 (2.3944) Prec@1 48.828 (45.662) Prec@5 75.781 (71.240)
Epoch: [45][920/5005] Time 0.209 (0.212) Data 0.058 (0.047) Loss 2.2465 (2.3931) Prec@1 48.438 (45.693) Prec@5 73.828 (71.262)
Epoch: [45][930/5005] Time 0.207 (0.212) Data 0.059 (0.047) Loss 2.3506 (2.3930) Prec@1 48.438 (45.704) Prec@5 70.312 (71.256)
Epoch: [45][940/5005] Time 0.215 (0.212) Data 0.042 (0.047) Loss 2.2302 (2.3933) Prec@1 42.969 (45.692) Prec@5 75.000 (71.256)
Epoch: [45][950/5005] Time 0.209 (0.212) Data 0.057 (0.047) Loss 2.5301 (2.3944) Prec@1 44.922 (45.681) Prec@5 70.312 (71.243)
Epoch: [45][960/5005] Time 0.220 (0.212) Data 0.042 (0.047) Loss 2.6580 (2.3943) Prec@1 42.188 (45.673) Prec@5 66.016 (71.240)
Epoch: [45][970/5005] Time 0.213 (0.212) Data 0.043 (0.047) Loss 2.1463 (2.3945) Prec@1 49.219 (45.675) Prec@5 76.953 (71.238)
Epoch: [45][980/5005] Time 0.218 (0.212) Data 0.050 (0.047) Loss 2.3447 (2.3938) Prec@1 44.141 (45.681) Prec@5 71.875 (71.249)
Epoch: [45][990/5005] Time 0.217 (0.212) Data 0.040 (0.047) Loss 2.4735 (2.3945) Prec@1 42.578 (45.648) Prec@5 71.484 (71.238)
Epoch: [45][1000/5005] Time 0.210 (0.212) Data 0.049 (0.047) Loss 2.4144 (2.3940) Prec@1 50.391 (45.663) Prec@5 72.656 (71.236)
Epoch: [45][1010/5005] Time 0.205 (0.212) Data 0.045 (0.047) Loss 2.4608 (2.3939) Prec@1 43.750 (45.665) Prec@5 69.531 (71.237)
Epoch: [45][1020/5005] Time 0.214 (0.212) Data 0.041 (0.047) Loss 2.1449 (2.3941) Prec@1 51.172 (45.665) Prec@5 73.438 (71.225)
Epoch: [45][1030/5005] Time 0.206 (0.212) Data 0.044 (0.047) Loss 2.2825 (2.3933) Prec@1 46.094 (45.675) Prec@5 73.047 (71.236)
Epoch: [45][1040/5005] Time 0.199 (0.213) Data 0.041 (0.046) Loss 2.5682 (2.3936) Prec@1 42.188 (45.665) Prec@5 68.750 (71.227)
Epoch: [45][1050/5005] Time 0.204 (0.213) Data 0.045 (0.046) Loss 2.4963 (2.3940) Prec@1 43.750 (45.647) Prec@5 69.531 (71.219)
Epoch: [45][1060/5005] Time 0.207 (0.213) Data 0.043 (0.046) Loss 2.4097 (2.3940) Prec@1 43.750 (45.646) Prec@5 69.531 (71.224)
Epoch: [45][1070/5005] Time 0.214 (0.213) Data 0.042 (0.046) Loss 2.3272 (2.3938) Prec@1 47.656 (45.643) Prec@5 70.703 (71.221)
Epoch: [45][1080/5005] Time 0.204 (0.213) Data 0.042 (0.046) Loss 2.4326 (2.3940) Prec@1 44.141 (45.640) Prec@5 68.359 (71.216)
Epoch: [45][1090/5005] Time 0.208 (0.213) Data 0.044 (0.046) Loss 2.2588 (2.3939) Prec@1 48.438 (45.631) Prec@5 76.953 (71.220)
Epoch: [45][1100/5005] Time 0.208 (0.213) Data 0.045 (0.046) Loss 2.2687 (2.3933) Prec@1 46.094 (45.636) Prec@5 75.391 (71.226)
Epoch: [45][1110/5005] Time 0.216 (0.213) Data 0.041 (0.046) Loss 2.3671 (2.3933) Prec@1 50.781 (45.632) Prec@5 71.875 (71.233)
Epoch: [45][1120/5005] Time 0.207 (0.213) Data 0.048 (0.046) Loss 2.3134 (2.3927) Prec@1 46.094 (45.636) Prec@5 69.141 (71.236)
Epoch: [45][1130/5005] Time 0.205 (0.213) Data 0.043 (0.046) Loss 2.4932 (2.3929) Prec@1 42.188 (45.626) Prec@5 66.797 (71.231)
Epoch: [45][1140/5005] Time 0.205 (0.213) Data 0.044 (0.046) Loss 2.6751 (2.3924) Prec@1 42.188 (45.637) Prec@5 66.406 (71.243)
Epoch: [45][1150/5005] Time 0.208 (0.213) Data 0.057 (0.046) Loss 2.2982 (2.3917) Prec@1 46.484 (45.653) Prec@5 71.094 (71.251)
Epoch: [45][1160/5005] Time 0.202 (0.213) Data 0.056 (0.046) Loss 2.4062 (2.3917) Prec@1 44.531 (45.662) Prec@5 71.484 (71.251)
Epoch: [45][1170/5005] Time 0.206 (0.213) Data 0.058 (0.046) Loss 2.1767 (2.3914) Prec@1 50.000 (45.666) Prec@5 73.828 (71.251)
Epoch: [45][1180/5005] Time 0.213 (0.213) Data 0.046 (0.046) Loss 2.4879 (2.3914) Prec@1 42.969 (45.660) Prec@5 69.141 (71.249)
Epoch: [45][1190/5005] Time 0.213 (0.212) Data 0.050 (0.046) Loss 2.1640 (2.3908) Prec@1 47.656 (45.670) Prec@5 74.219 (71.258)
Epoch: [45][1200/5005] Time 0.212 (0.212) Data 0.047 (0.046) Loss 2.4617 (2.3905) Prec@1 44.922 (45.676) Prec@5 70.703 (71.260)
Epoch: [45][1210/5005] Time 0.213 (0.212) Data 0.044 (0.046) Loss 2.5029 (2.3910) Prec@1 39.844 (45.656) Prec@5 67.578 (71.254)
Epoch: [45][1220/5005] Time 0.208 (0.212) Data 0.041 (0.046) Loss 2.3653 (2.3914) Prec@1 44.531 (45.654) Prec@5 74.609 (71.254)
Epoch: [45][1230/5005] Time 0.211 (0.212) Data 0.043 (0.046) Loss 2.3300 (2.3913) Prec@1 48.438 (45.659) Prec@5 73.047 (71.251)
Epoch: [45][1240/5005] Time 0.216 (0.212) Data 0.047 (0.046) Loss 2.4106 (2.3914) Prec@1 45.312 (45.652) Prec@5 68.750 (71.244)
Epoch: [45][1250/5005] Time 0.201 (0.212) Data 0.040 (0.046) Loss 2.6170 (2.3920) Prec@1 41.797 (45.640) Prec@5 67.578 (71.231)
Epoch: [45][1260/5005] Time 0.206 (0.212) Data 0.054 (0.046) Loss 2.1420 (2.3912) Prec@1 50.391 (45.658) Prec@5 75.391 (71.246)
Epoch: [45][1270/5005] Time 0.213 (0.212) Data 0.047 (0.046) Loss 2.4748 (2.3918) Prec@1 43.359 (45.649) Prec@5 67.969 (71.232)
Epoch: [45][1280/5005] Time 0.197 (0.212) Data 0.051 (0.046) Loss 2.3363 (2.3921) Prec@1 50.391 (45.656) Prec@5 69.141 (71.224)
Epoch: [45][1290/5005] Time 0.200 (0.212) Data 0.045 (0.046) Loss 1.9830 (2.3917) Prec@1 58.203 (45.671) Prec@5 74.609 (71.224)
Epoch: [45][1300/5005] Time 0.199 (0.212) Data 0.043 (0.046) Loss 2.2253 (2.3918) Prec@1 48.828 (45.662) Prec@5 73.828 (71.225)
Epoch: [45][1310/5005] Time 0.199 (0.212) Data 0.044 (0.046) Loss 2.2817 (2.3913) Prec@1 45.312 (45.670) Prec@5 75.000 (71.229)
Epoch: [45][1320/5005] Time 0.216 (0.212) Data 0.046 (0.046) Loss 2.4990 (2.3910) Prec@1 42.578 (45.675) Prec@5 73.047 (71.237)
Epoch: [45][1330/5005] Time 0.215 (0.212) Data 0.044 (0.046) Loss 2.5924 (2.3915) Prec@1 40.625 (45.660) Prec@5 67.188 (71.234)
Epoch: [45][1340/5005] Time 0.215 (0.212) Data 0.044 (0.046) Loss 2.4420 (2.3915) Prec@1 41.016 (45.659) Prec@5 69.141 (71.239)
Epoch: [45][1350/5005] Time 0.215 (0.212) Data 0.044 (0.046) Loss 2.7739 (2.3918) Prec@1 41.797 (45.655) Prec@5 67.188 (71.227)
Epoch: [45][1360/5005] Time 0.213 (0.212) Data 0.043 (0.046) Loss 2.1884 (2.3914) Prec@1 49.609 (45.659) Prec@5 73.828 (71.231)
Epoch: [45][1370/5005] Time 0.212 (0.212) Data 0.042 (0.046) Loss 2.3656 (2.3909) Prec@1 46.094 (45.671) Prec@5 70.703 (71.234)
Epoch: [45][1380/5005] Time 0.218 (0.212) Data 0.060 (0.046) Loss 2.4128 (2.3908) Prec@1 48.438 (45.675) Prec@5 70.312 (71.237)
Epoch: [45][1390/5005] Time 0.213 (0.212) Data 0.048 (0.046) Loss 2.4473 (2.3909) Prec@1 47.266 (45.677) Prec@5 68.750 (71.233)
Epoch: [45][1400/5005] Time 0.218 (0.212) Data 0.058 (0.046) Loss 2.3503 (2.3902) Prec@1 46.875 (45.692) Prec@5 69.531 (71.241)
Epoch: [45][1410/5005] Time 0.205 (0.212) Data 0.057 (0.046) Loss 2.4153 (2.3902) Prec@1 44.531 (45.690) Prec@5 69.531 (71.240)
Epoch: [45][1420/5005] Time 0.210 (0.212) Data 0.053 (0.046) Loss 2.7548 (2.3904) Prec@1 41.406 (45.686) Prec@5 64.453 (71.233)
Epoch: [45][1430/5005] Time 0.205 (0.212) Data 0.048 (0.046) Loss 2.0436 (2.3901) Prec@1 52.344 (45.697) Prec@5 77.344 (71.240)
Epoch: [45][1440/5005] Time 0.217 (0.212) Data 0.042 (0.046) Loss 2.0704 (2.3898) Prec@1 51.953 (45.709) Prec@5 77.344 (71.246)
Epoch: [45][1450/5005] Time 0.210 (0.212) Data 0.044 (0.046) Loss 2.4981 (2.3899) Prec@1 46.875 (45.708) Prec@5 69.531 (71.239)
Epoch: [45][1460/5005] Time 0.205 (0.212) Data 0.040 (0.046) Loss 2.3893 (2.3896) Prec@1 41.016 (45.712) Prec@5 70.703 (71.250)
Epoch: [45][1470/5005] Time 0.204 (0.212) Data 0.043 (0.046) Loss 2.3930 (2.3898) Prec@1 45.703 (45.712) Prec@5 69.141 (71.243)
Epoch: [45][1480/5005] Time 0.215 (0.212) Data 0.043 (0.046) Loss 2.2648 (2.3901) Prec@1 48.047 (45.713) Prec@5 75.391 (71.236)
Epoch: [45][1490/5005] Time 0.203 (0.212) Data 0.050 (0.046) Loss 2.6064 (2.3899) Prec@1 44.531 (45.719) Prec@5 71.094 (71.243)
Epoch: [45][1500/5005] Time 0.209 (0.212) Data 0.057 (0.046) Loss 2.4781 (2.3897) Prec@1 45.703 (45.725) Prec@5 67.188 (71.250)
Epoch: [45][1510/5005] Time 0.202 (0.212) Data 0.059 (0.046) Loss 2.3170 (2.3894) Prec@1 46.484 (45.731) Prec@5 69.141 (71.256)
Epoch: [45][1520/5005] Time 0.207 (0.212) Data 0.046 (0.047) Loss 2.4398 (2.3891) Prec@1 45.312 (45.731) Prec@5 70.703 (71.254)
Epoch: [45][1530/5005] Time 0.212 (0.212) Data 0.043 (0.047) Loss 2.5201 (2.3892) Prec@1 45.312 (45.737) Prec@5 68.359 (71.251)
Epoch: [45][1540/5005] Time 0.208 (0.212) Data 0.043 (0.046) Loss 2.3998 (2.3893) Prec@1 47.266 (45.731) Prec@5 67.188 (71.244)
Epoch: [45][1550/5005] Time 0.206 (0.212) Data 0.042 (0.046) Loss 2.2723 (2.3889) Prec@1 47.266 (45.733) Prec@5 74.219 (71.248)
Epoch: [45][1560/5005] Time 0.206 (0.212) Data 0.039 (0.046) Loss 2.2452 (2.3891) Prec@1 48.438 (45.738) Prec@5 75.000 (71.251)
Epoch: [45][1570/5005] Time 0.209 (0.212) Data 0.044 (0.046) Loss 2.1610 (2.3890) Prec@1 49.609 (45.735) Prec@5 77.344 (71.256)
Epoch: [45][1580/5005] Time 0.194 (0.212) Data 0.062 (0.046) Loss 2.2232 (2.3891) Prec@1 46.875 (45.723) Prec@5 74.219 (71.255)
Epoch: [45][1590/5005] Time 0.204 (0.212) Data 0.062 (0.047) Loss 2.2427 (2.3891) Prec@1 50.000 (45.721) Prec@5 70.312 (71.251)
Epoch: [45][1600/5005] Time 0.210 (0.212) Data 0.043 (0.047) Loss 2.4042 (2.3892) Prec@1 45.703 (45.724) Prec@5 69.531 (71.251)
Epoch: [45][1610/5005] Time 0.218 (0.212) Data 0.048 (0.047) Loss 2.5799 (2.3893) Prec@1 41.016 (45.725) Prec@5 67.578 (71.251)
Epoch: [45][1620/5005] Time 0.205 (0.212) Data 0.044 (0.047) Loss 2.5836 (2.3890) Prec@1 39.844 (45.726) Prec@5 66.406 (71.252)
Epoch: [45][1630/5005] Time 0.207 (0.212) Data 0.049 (0.047) Loss 2.2836 (2.3892) Prec@1 49.219 (45.721) Prec@5 70.312 (71.246)
Epoch: [45][1640/5005] Time 0.218 (0.212) Data 0.041 (0.047) Loss 2.4392 (2.3896) Prec@1 48.828 (45.722) Prec@5 71.875 (71.240)
Epoch: [45][1650/5005] Time 0.217 (0.212) Data 0.049 (0.047) Loss 2.4726 (2.3897) Prec@1 44.922 (45.725) Prec@5 69.141 (71.238)
Epoch: [45][1660/5005] Time 0.205 (0.211) Data 0.056 (0.047) Loss 2.4037 (2.3894) Prec@1 46.094 (45.733) Prec@5 72.266 (71.242)
Epoch: [45][1670/5005] Time 0.215 (0.211) Data 0.041 (0.047) Loss 2.1551 (2.3896) Prec@1 49.219 (45.727) Prec@5 75.781 (71.242)
Epoch: [45][1680/5005] Time 0.207 (0.211) Data 0.046 (0.047) Loss 2.4712 (2.3897) Prec@1 44.141 (45.727) Prec@5 70.312 (71.240)
Epoch: [45][1690/5005] Time 0.214 (0.211) Data 0.046 (0.047) Loss 2.1788 (2.3894) Prec@1 44.531 (45.726) Prec@5 76.953 (71.243)
Epoch: [45][1700/5005] Time 0.206 (0.211) Data 0.042 (0.047) Loss 2.4385 (2.3890) Prec@1 43.359 (45.725) Prec@5 73.828 (71.255)
Epoch: [45][1710/5005] Time 0.199 (0.211) Data 0.046 (0.047) Loss 2.1714 (2.3884) Prec@1 50.000 (45.736) Prec@5 74.219 (71.265)
Epoch: [45][1720/5005] Time 0.205 (0.211) Data 0.051 (0.047) Loss 2.3841 (2.3882) Prec@1 48.047 (45.742) Prec@5 73.047 (71.265)
Epoch: [45][1730/5005] Time 0.213 (0.211) Data 0.043 (0.047) Loss 2.3847 (2.3881) Prec@1 40.625 (45.739) Prec@5 72.266 (71.268)
Epoch: [45][1740/5005] Time 0.205 (0.211) Data 0.064 (0.047) Loss 2.4638 (2.3877) Prec@1 40.234 (45.738) Prec@5 72.656 (71.281)
Epoch: [45][1750/5005] Time 0.203 (0.211) Data 0.044 (0.047) Loss 2.4007 (2.3875) Prec@1 45.312 (45.741) Prec@5 71.875 (71.284)
Epoch: [45][1760/5005] Time 0.207 (0.211) Data 0.045 (0.047) Loss 2.1621 (2.3876) Prec@1 51.562 (45.740) Prec@5 77.734 (71.281)
Epoch: [45][1770/5005] Time 0.211 (0.211) Data 0.043 (0.047) Loss 2.4213 (2.3873) Prec@1 44.922 (45.740) Prec@5 71.094 (71.284)
Epoch: [45][1780/5005] Time 0.214 (0.211) Data 0.044 (0.047) Loss 2.2562 (2.3871) Prec@1 46.875 (45.739) Prec@5 73.828 (71.283)
Epoch: [45][1790/5005] Time 0.211 (0.211) Data 0.043 (0.047) Loss 2.1727 (2.3868) Prec@1 50.391 (45.744) Prec@5 73.047 (71.289)
Epoch: [45][1800/5005] Time 0.212 (0.211) Data 0.044 (0.047) Loss 2.4283 (2.3868) Prec@1 46.484 (45.752) Prec@5 71.484 (71.289)
Epoch: [45][1810/5005] Time 0.208 (0.211) Data 0.046 (0.047) Loss 2.2214 (2.3865) Prec@1 51.172 (45.756) Prec@5 74.219 (71.292)
Epoch: [45][1820/5005] Time 0.215 (0.211) Data 0.044 (0.047) Loss 2.4286 (2.3866) Prec@1 44.922 (45.755) Prec@5 71.094 (71.289)
Epoch: [45][1830/5005] Time 0.211 (0.211) Data 0.046 (0.047) Loss 2.1607 (2.3861) Prec@1 48.047 (45.761) Prec@5 76.562 (71.302)
Epoch: [45][1840/5005] Time 0.202 (0.211) Data 0.041 (0.047) Loss 2.5179 (2.3860) Prec@1 41.797 (45.758) Prec@5 70.312 (71.306)
Epoch: [45][1850/5005] Time 0.213 (0.211) Data 0.044 (0.047) Loss 2.3721 (2.3859) Prec@1 47.266 (45.765) Prec@5 71.484 (71.303)
Epoch: [45][1860/5005] Time 0.209 (0.211) Data 0.042 (0.047) Loss 2.4622 (2.3859) Prec@1 43.750 (45.768) Prec@5 68.359 (71.304)
Epoch: [45][1870/5005] Time 0.203 (0.211) Data 0.051 (0.047) Loss 2.4918 (2.3862) Prec@1 43.750 (45.768) Prec@5 68.359 (71.295)
Epoch: [45][1880/5005] Time 0.213 (0.211) Data 0.046 (0.047) Loss 2.3584 (2.3863) Prec@1 46.875 (45.769) Prec@5 75.000 (71.297)
Epoch: [45][1890/5005] Time 0.208 (0.211) Data 0.063 (0.047) Loss 2.4200 (2.3861) Prec@1 44.922 (45.774) Prec@5 69.141 (71.298)
Epoch: [45][1900/5005] Time 0.212 (0.211) Data 0.049 (0.047) Loss 2.3909 (2.3866) Prec@1 48.047 (45.766) Prec@5 71.094 (71.290)
Epoch: [45][1910/5005] Time 0.211 (0.211) Data 0.060 (0.047) Loss 2.2964 (2.3865) Prec@1 46.875 (45.769) Prec@5 73.047 (71.285)
Epoch: [45][1920/5005] Time 0.206 (0.211) Data 0.047 (0.047) Loss 2.2789 (2.3864) Prec@1 46.875 (45.767) Prec@5 75.000 (71.292)
Epoch: [45][1930/5005] Time 0.200 (0.211) Data 0.048 (0.047) Loss 2.3196 (2.3861) Prec@1 46.484 (45.776) Prec@5 72.266 (71.300)
Epoch: [45][1940/5005] Time 0.216 (0.211) Data 0.044 (0.047) Loss 2.2747 (2.3855) Prec@1 48.047 (45.779) Prec@5 72.656 (71.305)
Epoch: [45][1950/5005] Time 0.199 (0.211) Data 0.060 (0.047) Loss 2.5333 (2.3854) Prec@1 42.969 (45.783) Prec@5 68.750 (71.306)
Epoch: [45][1960/5005] Time 0.213 (0.211) Data 0.042 (0.047) Loss 2.2410 (2.3851) Prec@1 45.703 (45.792) Prec@5 74.609 (71.313)
Epoch: [45][1970/5005] Time 0.207 (0.211) Data 0.066 (0.047) Loss 2.3558 (2.3853) Prec@1 46.094 (45.790) Prec@5 72.656 (71.304)
Epoch: [45][1980/5005] Time 0.206 (0.211) Data 0.043 (0.047) Loss 2.1682 (2.3852) Prec@1 48.828 (45.798) Prec@5 72.656 (71.311)
Epoch: [45][1990/5005] Time 0.207 (0.211) Data 0.049 (0.047) Loss 2.2293 (2.3849) Prec@1 47.266 (45.806) Prec@5 75.781 (71.317)
Epoch: [45][2000/5005] Time 0.214 (0.211) Data 0.041 (0.047) Loss 2.3567 (2.3852) Prec@1 49.609 (45.807) Prec@5 71.094 (71.311)
Epoch: [45][2010/5005] Time 0.206 (0.211) Data 0.042 (0.047) Loss 2.2143 (2.3852) Prec@1 48.047 (45.805) Prec@5 69.922 (71.309)
Epoch: [45][2020/5005] Time 0.203 (0.211) Data 0.049 (0.047) Loss 2.3199 (2.3852) Prec@1 51.562 (45.802) Prec@5 72.656 (71.309)
Epoch: [45][2030/5005] Time 0.208 (0.211) Data 0.044 (0.047) Loss 2.3430 (2.3852) Prec@1 43.750 (45.806) Prec@5 75.391 (71.307)
Epoch: [45][2040/5005] Time 0.215 (0.211) Data 0.042 (0.047) Loss 2.1656 (2.3851) Prec@1 48.828 (45.811) Prec@5 75.000 (71.310)
Epoch: [45][2050/5005] Time 0.205 (0.211) Data 0.043 (0.047) Loss 2.4114 (2.3849) Prec@1 45.312 (45.816) Prec@5 69.531 (71.310)
Epoch: [45][2060/5005] Time 0.193 (0.211) Data 0.048 (0.047) Loss 2.2615 (2.3848) Prec@1 44.141 (45.805) Prec@5 73.047 (71.314)
Epoch: [45][2070/5005] Time 0.207 (0.211) Data 0.045 (0.047) Loss 2.5862 (2.3851) Prec@1 41.406 (45.806) Prec@5 66.406 (71.306)
Epoch: [45][2080/5005] Time 0.216 (0.211) Data 0.044 (0.047) Loss 2.3387 (2.3849) Prec@1 46.875 (45.807) Prec@5 72.656 (71.311)
Epoch: [45][2090/5005] Time 0.210 (0.211) Data 0.051 (0.047) Loss 2.2798 (2.3846) Prec@1 46.094 (45.807) Prec@5 76.172 (71.319)
Epoch: [45][2100/5005] Time 0.209 (0.211) Data 0.043 (0.047) Loss 2.4036 (2.3845) Prec@1 44.922 (45.804) Prec@5 71.875 (71.319)
Epoch: [45][2110/5005] Time 0.196 (0.211) Data 0.057 (0.047) Loss 2.1678 (2.3844) Prec@1 50.391 (45.812) Prec@5 73.438 (71.319)
Epoch: [45][2120/5005] Time 0.205 (0.211) Data 0.050 (0.047) Loss 2.4118 (2.3843) Prec@1 47.266 (45.815) Prec@5 69.922 (71.324)
Epoch: [45][2130/5005] Time 0.215 (0.211) Data 0.041 (0.047) Loss 2.4145 (2.3839) Prec@1 47.656 (45.827) Prec@5 70.312 (71.332)
Epoch: [45][2140/5005] Time 0.207 (0.211) Data 0.042 (0.047) Loss 2.3151 (2.3839) Prec@1 47.656 (45.829) Prec@5 70.312 (71.331)
Epoch: [45][2150/5005] Time 0.215 (0.211) Data 0.043 (0.047) Loss 2.1876 (2.3839) Prec@1 46.875 (45.824) Prec@5 74.609 (71.328)
Epoch: [45][2160/5005] Time 0.211 (0.211) Data 0.041 (0.047) Loss 2.2053 (2.3837) Prec@1 50.000 (45.830) Prec@5 74.609 (71.331)
Epoch: [45][2170/5005] Time 0.196 (0.211) Data 0.049 (0.047) Loss 2.2052 (2.3834) Prec@1 46.875 (45.833) Prec@5 75.000 (71.334)
Epoch: [45][2180/5005] Time 0.208 (0.211) Data 0.050 (0.047) Loss 2.4210 (2.3835) Prec@1 50.781 (45.833) Prec@5 71.875 (71.335)
Epoch: [45][2190/5005] Time 0.210 (0.211) Data 0.048 (0.047) Loss 2.6572 (2.3836) Prec@1 39.844 (45.832) Prec@5 65.625 (71.332)
Epoch: [45][2200/5005] Time 0.208 (0.211) Data 0.045 (0.047) Loss 2.3178 (2.3837) Prec@1 48.828 (45.830) Prec@5 72.656 (71.333)
Epoch: [45][2210/5005] Time 0.207 (0.211) Data 0.040 (0.047) Loss 2.5015 (2.3840) Prec@1 42.578 (45.828) Prec@5 68.359 (71.327)
Epoch: [45][2220/5005] Time 0.220 (0.211) Data 0.043 (0.047) Loss 2.5062 (2.3838) Prec@1 43.359 (45.831) Prec@5 69.141 (71.328)
Epoch: [45][2230/5005] Time 0.202 (0.211) Data 0.056 (0.047) Loss 2.3837 (2.3838) Prec@1 46.875 (45.829) Prec@5 73.047 (71.329)
Epoch: [45][2240/5005] Time 0.206 (0.211) Data 0.044 (0.047) Loss 2.3279 (2.3838) Prec@1 47.266 (45.826) Prec@5 72.266 (71.328)
Epoch: [45][2250/5005] Time 0.206 (0.211) Data 0.049 (0.047) Loss 2.3033 (2.3838) Prec@1 46.875 (45.827) Prec@5 72.656 (71.331)
Epoch: [45][2260/5005] Time 0.205 (0.211) Data 0.065 (0.047) Loss 2.2092 (2.3834) Prec@1 49.219 (45.837) Prec@5 73.047 (71.337)
Epoch: [45][2270/5005] Time 0.214 (0.211) Data 0.044 (0.047) Loss 2.5327 (2.3832) Prec@1 43.750 (45.840) Prec@5 66.797 (71.337)
Epoch: [45][2280/5005] Time 0.202 (0.211) Data 0.043 (0.047) Loss 2.3450 (2.3831) Prec@1 48.438 (45.844) Prec@5 71.875 (71.343)
Epoch: [45][2290/5005] Time 0.213 (0.211) Data 0.044 (0.047) Loss 2.1984 (2.3829) Prec@1 46.875 (45.849) Prec@5 77.344 (71.345)
Epoch: [45][2300/5005] Time 0.209 (0.211) Data 0.043 (0.047) Loss 2.4319 (2.3828) Prec@1 43.359 (45.848) Prec@5 71.484 (71.346)
Epoch: [45][2310/5005] Time 0.209 (0.211) Data 0.045 (0.047) Loss 2.1783 (2.3826) Prec@1 48.438 (45.855) Prec@5 72.266 (71.348)
Epoch: [45][2320/5005] Time 0.213 (0.211) Data 0.042 (0.047) Loss 2.5254 (2.3826) Prec@1 41.797 (45.858) Prec@5 70.703 (71.347)
Epoch: [45][2330/5005] Time 0.212 (0.211) Data 0.046 (0.047) Loss 2.2748 (2.3825) Prec@1 51.172 (45.865) Prec@5 73.047 (71.350)
Epoch: [45][2340/5005] Time 0.216 (0.211) Data 0.042 (0.047) Loss 2.4143 (2.3823) Prec@1 46.094 (45.870) Prec@5 71.484 (71.354)
Epoch: [45][2350/5005] Time 0.204 (0.211) Data 0.046 (0.047) Loss 2.2321 (2.3819) Prec@1 48.047 (45.878) Prec@5 72.656 (71.361)
Epoch: [45][2360/5005] Time 0.215 (0.210) Data 0.044 (0.047) Loss 2.3748 (2.3820) Prec@1 47.656 (45.877) Prec@5 70.703 (71.356)
Epoch: [45][2370/5005] Time 0.216 (0.211) Data 0.043 (0.047) Loss 2.3632 (2.3819) Prec@1 46.484 (45.879) Prec@5 70.703 (71.357)
Epoch: [45][2380/5005] Time 0.207 (0.210) Data 0.046 (0.047) Loss 2.3841 (2.3818) Prec@1 49.609 (45.886) Prec@5 70.312 (71.363)
Epoch: [45][2390/5005] Time 0.205 (0.210) Data 0.043 (0.047) Loss 2.2949 (2.3815) Prec@1 48.828 (45.890) Prec@5 73.047 (71.365)
Epoch: [45][2400/5005] Time 0.211 (0.210) Data 0.043 (0.047) Loss 2.4184 (2.3815) Prec@1 44.531 (45.885) Prec@5 71.875 (71.366)
Epoch: [45][2410/5005] Time 0.195 (0.210) Data 0.042 (0.047) Loss 2.5838 (2.3817) Prec@1 42.578 (45.880) Prec@5 66.406 (71.364)
Epoch: [45][2420/5005] Time 0.205 (0.210) Data 0.043 (0.047) Loss 2.3011 (2.3815) Prec@1 47.266 (45.882) Prec@5 72.656 (71.368)
Epoch: [45][2430/5005] Time 0.214 (0.210) Data 0.042 (0.047) Loss 2.1301 (2.3815) Prec@1 50.781 (45.877) Prec@5 74.219 (71.362)
Epoch: [45][2440/5005] Time 0.210 (0.210) Data 0.045 (0.047) Loss 2.2191 (2.3814) Prec@1 48.438 (45.880) Prec@5 73.438 (71.361)
Epoch: [45][2450/5005] Time 0.212 (0.210) Data 0.053 (0.047) Loss 2.3458 (2.3811) Prec@1 47.656 (45.887) Prec@5 69.141 (71.365)
Epoch: [45][2460/5005] Time 0.208 (0.210) Data 0.061 (0.047) Loss 2.4696 (2.3809) Prec@1 42.188 (45.889) Prec@5 69.531 (71.366)
Epoch: [45][2470/5005] Time 0.208 (0.210) Data 0.047 (0.047) Loss 2.2010 (2.3809) Prec@1 50.000 (45.889) Prec@5 71.875 (71.364)
Epoch: [45][2480/5005] Time 0.209 (0.210) Data 0.044 (0.047) Loss 2.6273 (2.3813) Prec@1 39.453 (45.881) Prec@5 67.188 (71.359)
Epoch: [45][2490/5005] Time 0.209 (0.210) Data 0.042 (0.047) Loss 2.1419 (2.3812) Prec@1 52.344 (45.882) Prec@5 77.344 (71.358)
Epoch: [45][2500/5005] Time 0.209 (0.210) Data 0.046 (0.047) Loss 2.4361 (2.3813) Prec@1 47.266 (45.885) Prec@5 69.922 (71.358)
Epoch: [45][2510/5005] Time 0.202 (0.210) Data 0.044 (0.047) Loss 2.4999 (2.3815) Prec@1 42.969 (45.877) Prec@5 71.484 (71.354)
Epoch: [45][2520/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.3085 (2.3815) Prec@1 49.219 (45.879) Prec@5 73.438 (71.354)
Epoch: [45][2530/5005] Time 0.205 (0.210) Data 0.044 (0.047) Loss 2.4718 (2.3814) Prec@1 40.625 (45.876) Prec@5 70.703 (71.357)
Epoch: [45][2540/5005] Time 0.212 (0.210) Data 0.043 (0.047) Loss 2.4098 (2.3813) Prec@1 44.922 (45.878) Prec@5 71.875 (71.358)
Epoch: [45][2550/5005] Time 0.209 (0.210) Data 0.042 (0.047) Loss 2.3055 (2.3813) Prec@1 45.312 (45.880) Prec@5 75.000 (71.359)
Epoch: [45][2560/5005] Time 0.211 (0.210) Data 0.045 (0.047) Loss 2.5713 (2.3813) Prec@1 40.625 (45.878) Prec@5 69.531 (71.358)
Epoch: [45][2570/5005] Time 0.220 (0.210) Data 0.044 (0.047) Loss 2.4743 (2.3815) Prec@1 40.234 (45.874) Prec@5 72.656 (71.358)
Epoch: [45][2580/5005] Time 0.214 (0.210) Data 0.043 (0.047) Loss 2.4977 (2.3819) Prec@1 40.234 (45.868) Prec@5 71.094 (71.350)
Epoch: [45][2590/5005] Time 0.211 (0.210) Data 0.048 (0.047) Loss 2.4939 (2.3817) Prec@1 44.922 (45.878) Prec@5 68.750 (71.352)
Epoch: [45][2600/5005] Time 0.202 (0.210) Data 0.050 (0.047) Loss 2.5148 (2.3820) Prec@1 43.359 (45.869) Prec@5 68.750 (71.345)
Epoch: [45][2610/5005] Time 0.212 (0.210) Data 0.046 (0.047) Loss 2.5535 (2.3817) Prec@1 39.062 (45.874) Prec@5 69.531 (71.353)
Epoch: [45][2620/5005] Time 0.204 (0.210) Data 0.042 (0.047) Loss 2.3889 (2.3818) Prec@1 44.141 (45.873) Prec@5 68.750 (71.352)
Epoch: [45][2630/5005] Time 0.200 (0.210) Data 0.054 (0.047) Loss 2.5484 (2.3823) Prec@1 41.406 (45.868) Prec@5 67.969 (71.342)
Epoch: [45][2640/5005] Time 0.203 (0.210) Data 0.051 (0.047) Loss 2.4977 (2.3823) Prec@1 45.703 (45.870) Prec@5 70.703 (71.342)
Epoch: [45][2650/5005] Time 0.205 (0.210) Data 0.046 (0.047) Loss 2.6342 (2.3823) Prec@1 41.016 (45.870) Prec@5 65.625 (71.341)
Epoch: [45][2660/5005] Time 0.204 (0.210) Data 0.050 (0.047) Loss 2.3894 (2.3822) Prec@1 46.875 (45.873) Prec@5 73.047 (71.341)
Epoch: [45][2670/5005] Time 0.216 (0.210) Data 0.046 (0.047) Loss 2.2027 (2.3820) Prec@1 48.828 (45.880) Prec@5 73.828 (71.341)
Epoch: [45][2680/5005] Time 0.202 (0.210) Data 0.050 (0.047) Loss 2.0912 (2.3818) Prec@1 51.172 (45.879) Prec@5 76.172 (71.345)
Epoch: [45][2690/5005] Time 0.215 (0.210) Data 0.043 (0.047) Loss 2.3180 (2.3818) Prec@1 47.266 (45.879) Prec@5 71.875 (71.345)
Epoch: [45][2700/5005] Time 0.206 (0.210) Data 0.042 (0.047) Loss 2.3224 (2.3819) Prec@1 47.656 (45.877) Prec@5 73.438 (71.344)
Epoch: [45][2710/5005] Time 0.215 (0.210) Data 0.043 (0.047) Loss 2.1092 (2.3820) Prec@1 54.688 (45.871) Prec@5 74.219 (71.343)
Epoch: [45][2720/5005] Time 0.212 (0.210) Data 0.047 (0.047) Loss 2.2750 (2.3819) Prec@1 50.391 (45.873) Prec@5 75.391 (71.346)
Epoch: [45][2730/5005] Time 0.212 (0.210) Data 0.043 (0.047) Loss 2.4669 (2.3816) Prec@1 48.438 (45.880) Prec@5 71.094 (71.351)
Epoch: [45][2740/5005] Time 0.199 (0.210) Data 0.049 (0.047) Loss 2.2037 (2.3813) Prec@1 48.438 (45.885) Prec@5 73.438 (71.351)
Epoch: [45][2750/5005] Time 0.210 (0.210) Data 0.049 (0.047) Loss 2.3785 (2.3812) Prec@1 44.531 (45.891) Prec@5 69.922 (71.352)
Epoch: [45][2760/5005] Time 0.212 (0.210) Data 0.052 (0.047) Loss 2.3330 (2.3811) Prec@1 47.266 (45.899) Prec@5 73.438 (71.353)
Epoch: [45][2770/5005] Time 0.220 (0.210) Data 0.052 (0.047) Loss 2.2671 (2.3812) Prec@1 49.609 (45.899) Prec@5 74.219 (71.352)
Epoch: [45][2780/5005] Time 0.201 (0.210) Data 0.057 (0.047) Loss 2.5934 (2.3813) Prec@1 44.141 (45.904) Prec@5 67.578 (71.350)
Epoch: [45][2790/5005] Time 0.209 (0.210) Data 0.044 (0.047) Loss 2.7285 (2.3816) Prec@1 35.156 (45.898) Prec@5 68.750 (71.349)
Epoch: [45][2800/5005] Time 0.202 (0.210) Data 0.048 (0.047) Loss 2.1520 (2.3816) Prec@1 49.609 (45.899) Prec@5 75.000 (71.349)
Epoch: [45][2810/5005] Time 0.212 (0.210) Data 0.046 (0.047) Loss 2.4576 (2.3816) Prec@1 41.016 (45.897) Prec@5 69.531 (71.350)
Epoch: [45][2820/5005] Time 0.207 (0.210) Data 0.042 (0.047) Loss 2.1139 (2.3816) Prec@1 46.094 (45.895) Prec@5 72.656 (71.351)
Epoch: [45][2830/5005] Time 0.198 (0.210) Data 0.044 (0.047) Loss 2.6294 (2.3817) Prec@1 39.844 (45.888) Prec@5 66.406 (71.349)
Epoch: [45][2840/5005] Time 0.210 (0.210) Data 0.042 (0.047) Loss 2.4663 (2.3817) Prec@1 45.312 (45.891) Prec@5 67.578 (71.348)
Epoch: [45][2850/5005] Time 0.212 (0.210) Data 0.043 (0.047) Loss 2.4015 (2.3816) Prec@1 48.438 (45.898) Prec@5 69.531 (71.351)
Epoch: [45][2860/5005] Time 0.199 (0.210) Data 0.057 (0.047) Loss 2.3759 (2.3817) Prec@1 46.094 (45.896) Prec@5 69.922 (71.349)
Epoch: [45][2870/5005] Time 0.212 (0.210) Data 0.041 (0.047) Loss 2.3304 (2.3814) Prec@1 44.922 (45.901) Prec@5 75.781 (71.357)
Epoch: [45][2880/5005] Time 0.212 (0.210) Data 0.043 (0.047) Loss 2.3226 (2.3815) Prec@1 42.969 (45.897) Prec@5 75.391 (71.355)
Epoch: [45][2890/5005] Time 0.212 (0.210) Data 0.040 (0.047) Loss 2.4199 (2.3814) Prec@1 39.062 (45.894) Prec@5 67.969 (71.355)
Epoch: [45][2900/5005] Time 0.208 (0.210) Data 0.044 (0.047) Loss 2.0737 (2.3812) Prec@1 53.906 (45.897) Prec@5 77.344 (71.360)
Epoch: [45][2910/5005] Time 0.209 (0.210) Data 0.042 (0.047) Loss 2.4221 (2.3813) Prec@1 46.094 (45.894) Prec@5 72.656 (71.358)
Epoch: [45][2920/5005] Time 0.209 (0.210) Data 0.046 (0.047) Loss 2.5805 (2.3812) Prec@1 38.672 (45.897) Prec@5 67.969 (71.363)
Epoch: [45][2930/5005] Time 0.200 (0.210) Data 0.048 (0.047) Loss 2.5953 (2.3811) Prec@1 41.406 (45.897) Prec@5 69.531 (71.363)
Epoch: [45][2940/5005] Time 0.210 (0.210) Data 0.058 (0.047) Loss 2.5086 (2.3810) Prec@1 46.094 (45.900) Prec@5 66.797 (71.367)
Epoch: [45][2950/5005] Time 0.213 (0.210) Data 0.050 (0.047) Loss 2.7519 (2.3809) Prec@1 37.891 (45.902) Prec@5 67.969 (71.368)
Epoch: [45][2960/5005] Time 0.212 (0.210) Data 0.050 (0.047) Loss 2.3968 (2.3809) Prec@1 45.312 (45.907) Prec@5 70.312 (71.368)
Epoch: [45][2970/5005] Time 0.212 (0.210) Data 0.043 (0.047) Loss 2.5092 (2.3808) Prec@1 40.234 (45.909) Prec@5 68.359 (71.367)
Epoch: [45][2980/5005] Time 0.197 (0.210) Data 0.046 (0.047) Loss 2.3819 (2.3808) Prec@1 42.969 (45.909) Prec@5 69.141 (71.371)
Epoch: [45][2990/5005] Time 0.205 (0.210) Data 0.049 (0.047) Loss 2.4364 (2.3808) Prec@1 45.312 (45.908) Prec@5 68.750 (71.370)
Epoch: [45][3000/5005] Time 0.210 (0.210) Data 0.048 (0.047) Loss 2.3252 (2.3806) Prec@1 44.141 (45.911) Prec@5 73.438 (71.371)
Epoch: [45][3010/5005] Time 0.205 (0.210) Data 0.045 (0.047) Loss 2.3699 (2.3808) Prec@1 45.703 (45.905) Prec@5 72.656 (71.368)
Epoch: [45][3020/5005] Time 0.203 (0.210) Data 0.046 (0.047) Loss 2.3162 (2.3813) Prec@1 46.875 (45.897) Prec@5 73.047 (71.364)
Epoch: [45][3030/5005] Time 0.212 (0.210) Data 0.043 (0.047) Loss 2.3693 (2.3814) Prec@1 47.656 (45.894) Prec@5 71.484 (71.364)
Epoch: [45][3040/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.1822 (2.3813) Prec@1 50.781 (45.898) Prec@5 74.609 (71.366)
Epoch: [45][3050/5005] Time 0.215 (0.210) Data 0.045 (0.047) Loss 2.3783 (2.3813) Prec@1 45.703 (45.899) Prec@5 75.000 (71.365)
Epoch: [45][3060/5005] Time 0.213 (0.210) Data 0.041 (0.047) Loss 2.3752 (2.3812) Prec@1 45.312 (45.901) Prec@5 71.094 (71.368)
Epoch: [45][3070/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.3531 (2.3812) Prec@1 44.922 (45.899) Prec@5 72.656 (71.367)
Epoch: [45][3080/5005] Time 0.213 (0.210) Data 0.042 (0.047) Loss 2.2616 (2.3812) Prec@1 49.219 (45.897) Prec@5 74.219 (71.369)
Epoch: [45][3090/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.6914 (2.3812) Prec@1 40.234 (45.897) Prec@5 66.797 (71.368)
Epoch: [45][3100/5005] Time 0.213 (0.210) Data 0.043 (0.047) Loss 2.4414 (2.3812) Prec@1 44.141 (45.896) Prec@5 71.094 (71.368)
Epoch: [45][3110/5005] Time 0.198 (0.210) Data 0.058 (0.047) Loss 2.2912 (2.3811) Prec@1 46.094 (45.895) Prec@5 75.391 (71.375)
Epoch: [45][3120/5005] Time 0.209 (0.210) Data 0.042 (0.047) Loss 2.4336 (2.3811) Prec@1 44.141 (45.895) Prec@5 71.875 (71.375)
Epoch: [45][3130/5005] Time 0.201 (0.210) Data 0.042 (0.047) Loss 2.3558 (2.3809) Prec@1 40.625 (45.897) Prec@5 71.484 (71.378)
Epoch: [45][3140/5005] Time 0.211 (0.210) Data 0.046 (0.047) Loss 2.1479 (2.3808) Prec@1 50.000 (45.898) Prec@5 77.734 (71.382)
Epoch: [45][3150/5005] Time 0.216 (0.210) Data 0.057 (0.047) Loss 2.4879 (2.3807) Prec@1 47.266 (45.902) Prec@5 67.969 (71.382)
Epoch: [45][3160/5005] Time 0.202 (0.210) Data 0.047 (0.047) Loss 2.3272 (2.3807) Prec@1 46.875 (45.907) Prec@5 69.922 (71.382)
Epoch: [45][3170/5005] Time 0.209 (0.210) Data 0.041 (0.047) Loss 2.3812 (2.3807) Prec@1 46.484 (45.906) Prec@5 72.266 (71.383)
Epoch: [45][3180/5005] Time 0.211 (0.210) Data 0.041 (0.047) Loss 2.1936 (2.3806) Prec@1 48.828 (45.907) Prec@5 73.438 (71.382)
Epoch: [45][3190/5005] Time 0.210 (0.210) Data 0.043 (0.047) Loss 2.3640 (2.3806) Prec@1 42.188 (45.908) Prec@5 71.484 (71.384)
Epoch: [45][3200/5005] Time 0.212 (0.210) Data 0.043 (0.047) Loss 2.4189 (2.3807) Prec@1 44.141 (45.908) Prec@5 70.312 (71.382)
Epoch: [45][3210/5005] Time 0.211 (0.210) Data 0.045 (0.047) Loss 2.4577 (2.3806) Prec@1 44.531 (45.911) Prec@5 71.094 (71.383)
Epoch: [45][3220/5005] Time 0.206 (0.210) Data 0.043 (0.047) Loss 2.3842 (2.3805) Prec@1 49.609 (45.915) Prec@5 70.703 (71.384)
Epoch: [45][3230/5005] Time 0.209 (0.210) Data 0.044 (0.047) Loss 2.2909 (2.3802) Prec@1 48.438 (45.922) Prec@5 71.875 (71.388)
Epoch: [45][3240/5005] Time 0.210 (0.210) Data 0.043 (0.047) Loss 2.7207 (2.3807) Prec@1 39.844 (45.913) Prec@5 66.016 (71.381)
Epoch: [45][3250/5005] Time 0.220 (0.210) Data 0.046 (0.047) Loss 2.4040 (2.3808) Prec@1 44.922 (45.911) Prec@5 70.312 (71.378)
Epoch: [45][3260/5005] Time 0.209 (0.210) Data 0.041 (0.047) Loss 2.2551 (2.3808) Prec@1 53.906 (45.911) Prec@5 71.875 (71.377)
Epoch: [45][3270/5005] Time 0.216 (0.210) Data 0.051 (0.047) Loss 2.5516 (2.3806) Prec@1 42.578 (45.912) Prec@5 69.531 (71.381)
Epoch: [45][3280/5005] Time 0.214 (0.210) Data 0.047 (0.047) Loss 2.2599 (2.3807) Prec@1 50.781 (45.910) Prec@5 72.266 (71.379)
Epoch: [45][3290/5005] Time 0.207 (0.210) Data 0.042 (0.047) Loss 2.3740 (2.3806) Prec@1 44.531 (45.908) Prec@5 71.094 (71.378)
Epoch: [45][3300/5005] Time 0.208 (0.210) Data 0.042 (0.047) Loss 2.2965 (2.3806) Prec@1 48.047 (45.909) Prec@5 73.047 (71.378)
Epoch: [45][3310/5005] Time 0.212 (0.210) Data 0.043 (0.047) Loss 2.1930 (2.3805) Prec@1 50.391 (45.912) Prec@5 71.484 (71.376)
Epoch: [45][3320/5005] Time 0.209 (0.210) Data 0.042 (0.047) Loss 2.4300 (2.3806) Prec@1 47.266 (45.909) Prec@5 71.484 (71.378)
Epoch: [45][3330/5005] Time 0.214 (0.210) Data 0.043 (0.047) Loss 2.3234 (2.3806) Prec@1 46.484 (45.910) Prec@5 71.484 (71.376)
Epoch: [45][3340/5005] Time 0.212 (0.210) Data 0.041 (0.047) Loss 2.4340 (2.3807) Prec@1 42.969 (45.904) Prec@5 73.047 (71.377)
Epoch: [45][3350/5005] Time 0.212 (0.210) Data 0.043 (0.047) Loss 2.4976 (2.3807) Prec@1 42.969 (45.904) Prec@5 70.703 (71.379)
Epoch: [45][3360/5005] Time 0.211 (0.210) Data 0.047 (0.047) Loss 2.2079 (2.3807) Prec@1 50.391 (45.904) Prec@5 73.828 (71.378)
Epoch: [45][3370/5005] Time 0.207 (0.210) Data 0.046 (0.047) Loss 2.4614 (2.3808) Prec@1 41.016 (45.900) Prec@5 72.266 (71.376)
Epoch: [45][3380/5005] Time 0.213 (0.210) Data 0.046 (0.047) Loss 2.2799 (2.3807) Prec@1 48.438 (45.902) Prec@5 71.484 (71.379)
Epoch: [45][3390/5005] Time 0.216 (0.210) Data 0.042 (0.047) Loss 2.4069 (2.3809) Prec@1 46.484 (45.898) Prec@5 69.922 (71.376)
Epoch: [45][3400/5005] Time 0.206 (0.210) Data 0.048 (0.047) Loss 2.2714 (2.3810) Prec@1 47.266 (45.898) Prec@5 72.656 (71.375)
Epoch: [45][3410/5005] Time 0.202 (0.210) Data 0.060 (0.047) Loss 2.2953 (2.3807) Prec@1 50.391 (45.903) Prec@5 72.266 (71.377)
Epoch: [45][3420/5005] Time 0.213 (0.210) Data 0.045 (0.047) Loss 2.3978 (2.3807) Prec@1 47.656 (45.902) Prec@5 73.047 (71.378)
Epoch: [45][3430/5005] Time 0.206 (0.210) Data 0.048 (0.047) Loss 2.2976 (2.3808) Prec@1 44.141 (45.902) Prec@5 73.828 (71.379)
Epoch: [45][3440/5005] Time 0.206 (0.210) Data 0.048 (0.047) Loss 2.3587 (2.3807) Prec@1 46.875 (45.904) Prec@5 69.922 (71.381)
Epoch: [45][3450/5005] Time 0.208 (0.210) Data 0.050 (0.047) Loss 2.2578 (2.3804) Prec@1 49.219 (45.904) Prec@5 71.094 (71.382)
Epoch: [45][3460/5005] Time 0.207 (0.210) Data 0.047 (0.047) Loss 2.2407 (2.3804) Prec@1 46.094 (45.907) Prec@5 75.000 (71.384)
Epoch: [45][3470/5005] Time 0.209 (0.210) Data 0.047 (0.047) Loss 2.1059 (2.3803) Prec@1 52.344 (45.909) Prec@5 76.172 (71.387)
Epoch: [45][3480/5005] Time 0.193 (0.210) Data 0.056 (0.047) Loss 2.3067 (2.3800) Prec@1 49.219 (45.912) Prec@5 71.484 (71.389)
Epoch: [45][3490/5005] Time 0.188 (0.210) Data 0.046 (0.047) Loss 2.4128 (2.3800) Prec@1 42.969 (45.913) Prec@5 75.000 (71.392)
Epoch: [45][3500/5005] Time 0.211 (0.210) Data 0.044 (0.047) Loss 2.2025 (2.3799) Prec@1 43.750 (45.911) Prec@5 75.000 (71.394)
Epoch: [45][3510/5005] Time 0.206 (0.210) Data 0.043 (0.047) Loss 2.3257 (2.3798) Prec@1 44.531 (45.911) Prec@5 70.703 (71.394)
Epoch: [45][3520/5005] Time 0.209 (0.210) Data 0.042 (0.047) Loss 2.6568 (2.3798) Prec@1 42.969 (45.912) Prec@5 65.625 (71.396)
Epoch: [45][3530/5005] Time 0.210 (0.210) Data 0.043 (0.047) Loss 2.3484 (2.3797) Prec@1 46.094 (45.917) Prec@5 72.266 (71.400)
Epoch: [45][3540/5005] Time 0.211 (0.210) Data 0.042 (0.047) Loss 2.3004 (2.3795) Prec@1 47.266 (45.920) Prec@5 72.656 (71.405)
Epoch: [45][3550/5005] Time 0.210 (0.210) Data 0.043 (0.047) Loss 2.4855 (2.3795) Prec@1 44.141 (45.922) Prec@5 68.750 (71.404)
Epoch: [45][3560/5005] Time 0.212 (0.210) Data 0.044 (0.047) Loss 2.4885 (2.3793) Prec@1 43.359 (45.925) Prec@5 68.750 (71.405)
Epoch: [45][3570/5005] Time 0.209 (0.210) Data 0.044 (0.047) Loss 2.4804 (2.3794) Prec@1 46.875 (45.924) Prec@5 70.312 (71.403)
Epoch: [45][3580/5005] Time 0.212 (0.210) Data 0.044 (0.047) Loss 2.2793 (2.3794) Prec@1 47.656 (45.923) Prec@5 72.656 (71.403)
Epoch: [45][3590/5005] Time 0.205 (0.210) Data 0.041 (0.047) Loss 2.3930 (2.3791) Prec@1 43.359 (45.927) Prec@5 69.531 (71.406)
Epoch: [45][3600/5005] Time 0.209 (0.210) Data 0.044 (0.047) Loss 2.3262 (2.3789) Prec@1 47.656 (45.931) Prec@5 71.484 (71.411)
Epoch: [45][3610/5005] Time 0.210 (0.210) Data 0.043 (0.047) Loss 2.2406 (2.3790) Prec@1 48.047 (45.930) Prec@5 73.047 (71.409)
Epoch: [45][3620/5005] Time 0.198 (0.210) Data 0.040 (0.047) Loss 2.5002 (2.3788) Prec@1 41.406 (45.937) Prec@5 67.578 (71.413)
Epoch: [45][3630/5005] Time 0.209 (0.210) Data 0.042 (0.047) Loss 2.5730 (2.3787) Prec@1 40.625 (45.939) Prec@5 67.969 (71.413)
Epoch: [45][3640/5005] Time 0.211 (0.210) Data 0.043 (0.047) Loss 2.4074 (2.3786) Prec@1 41.406 (45.942) Prec@5 70.703 (71.411)
Epoch: [45][3650/5005] Time 0.211 (0.210) Data 0.045 (0.047) Loss 2.1324 (2.3786) Prec@1 49.609 (45.941) Prec@5 78.125 (71.414)
Epoch: [45][3660/5005] Time 0.203 (0.210) Data 0.052 (0.047) Loss 2.4017 (2.3784) Prec@1 43.750 (45.943) Prec@5 67.578 (71.416)
Epoch: [45][3670/5005] Time 0.199 (0.210) Data 0.043 (0.047) Loss 2.4780 (2.3785) Prec@1 44.922 (45.942) Prec@5 66.797 (71.415)
Epoch: [45][3680/5005] Time 0.208 (0.210) Data 0.044 (0.047) Loss 2.1505 (2.3786) Prec@1 50.391 (45.942) Prec@5 74.609 (71.411)
Epoch: [45][3690/5005] Time 0.209 (0.210) Data 0.043 (0.047) Loss 2.1952 (2.3785) Prec@1 49.609 (45.943) Prec@5 75.391 (71.416)
Epoch: [45][3700/5005] Time 0.212 (0.210) Data 0.044 (0.047) Loss 2.4179 (2.3786) Prec@1 48.438 (45.943) Prec@5 71.875 (71.416)
Epoch: [45][3710/5005] Time 0.208 (0.210) Data 0.046 (0.047) Loss 2.3226 (2.3785) Prec@1 50.781 (45.945) Prec@5 71.094 (71.419)
Epoch: [45][3720/5005] Time 0.216 (0.210) Data 0.044 (0.047) Loss 2.6234 (2.3785) Prec@1 49.219 (45.949) Prec@5 69.531 (71.418)
Epoch: [45][3730/5005] Time 0.208 (0.210) Data 0.047 (0.047) Loss 2.1666 (2.3783) Prec@1 54.297 (45.951) Prec@5 75.000 (71.420)
Epoch: [45][3740/5005] Time 0.219 (0.210) Data 0.041 (0.047) Loss 2.3111 (2.3781) Prec@1 47.656 (45.954) Prec@5 73.047 (71.424)
Epoch: [45][3750/5005] Time 0.206 (0.210) Data 0.041 (0.047) Loss 2.1281 (2.3782) Prec@1 48.828 (45.954) Prec@5 74.609 (71.420)
Epoch: [45][3760/5005] Time 0.207 (0.210) Data 0.044 (0.047) Loss 2.3909 (2.3783) Prec@1 43.750 (45.954) Prec@5 68.359 (71.417)
Epoch: [45][3770/5005] Time 0.213 (0.210) Data 0.041 (0.047) Loss 2.3907 (2.3781) Prec@1 50.391 (45.956) Prec@5 72.266 (71.420)
Epoch: [45][3780/5005] Time 0.209 (0.210) Data 0.040 (0.047) Loss 2.2379 (2.3780) Prec@1 49.219 (45.957) Prec@5 72.266 (71.421)
Epoch: [45][3790/5005] Time 0.217 (0.210) Data 0.048 (0.047) Loss 2.4070 (2.3781) Prec@1 42.578 (45.952) Prec@5 71.484 (71.419)
Epoch: [45][3800/5005] Time 0.202 (0.210) Data 0.042 (0.047) Loss 2.4769 (2.3784) Prec@1 44.531 (45.950) Prec@5 69.141 (71.414)
Epoch: [45][3810/5005] Time 0.209 (0.210) Data 0.042 (0.047) Loss 2.4672 (2.3784) Prec@1 45.703 (45.947) Prec@5 69.922 (71.412)
Epoch: [45][3820/5005] Time 0.202 (0.210) Data 0.045 (0.047) Loss 2.2574 (2.3783) Prec@1 48.828 (45.946) Prec@5 73.828 (71.415)
Epoch: [45][3830/5005] Time 0.200 (0.210) Data 0.045 (0.047) Loss 2.3518 (2.3782) Prec@1 42.188 (45.949) Prec@5 70.312 (71.417)
Epoch: [45][3840/5005] Time 0.213 (0.210) Data 0.048 (0.047) Loss 2.6778 (2.3784) Prec@1 42.578 (45.945) Prec@5 65.234 (71.416)
Epoch: [45][3850/5005] Time 0.196 (0.210) Data 0.061 (0.047) Loss 2.3749 (2.3783) Prec@1 49.609 (45.946) Prec@5 71.875 (71.418)
Epoch: [45][3860/5005] Time 0.204 (0.210) Data 0.049 (0.047) Loss 2.1633 (2.3783) Prec@1 51.953 (45.947) Prec@5 74.609 (71.418)
Epoch: [45][3870/5005] Time 0.204 (0.210) Data 0.047 (0.047) Loss 2.4086 (2.3782) Prec@1 44.531 (45.947) Prec@5 71.094 (71.420)
Epoch: [45][3880/5005] Time 0.205 (0.210) Data 0.057 (0.047) Loss 2.3536 (2.3782) Prec@1 47.656 (45.949) Prec@5 73.047 (71.420)
Epoch: [45][3890/5005] Time 0.200 (0.210) Data 0.045 (0.047) Loss 2.4387 (2.3782) Prec@1 45.703 (45.948) Prec@5 70.312 (71.421)
Epoch: [45][3900/5005] Time 0.216 (0.210) Data 0.042 (0.047) Loss 2.5983 (2.3783) Prec@1 41.406 (45.946) Prec@5 65.234 (71.419)
Epoch: [45][3910/5005] Time 0.217 (0.210) Data 0.041 (0.047) Loss 2.5653 (2.3783) Prec@1 39.453 (45.943) Prec@5 66.797 (71.420)
Epoch: [45][3920/5005] Time 0.206 (0.210) Data 0.049 (0.047) Loss 2.3062 (2.3784) Prec@1 49.609 (45.943) Prec@5 72.656 (71.418)
Epoch: [45][3930/5005] Time 0.216 (0.210) Data 0.042 (0.047) Loss 2.2609 (2.3782) Prec@1 47.656 (45.944) Prec@5 72.266 (71.418)
Epoch: [45][3940/5005] Time 0.209 (0.210) Data 0.046 (0.047) Loss 2.3322 (2.3782) Prec@1 47.266 (45.941) Prec@5 68.750 (71.417)
Epoch: [45][3950/5005] Time 0.208 (0.210) Data 0.055 (0.047) Loss 2.2261 (2.3780) Prec@1 48.828 (45.946) Prec@5 72.656 (71.420)
Epoch: [45][3960/5005] Time 0.215 (0.210) Data 0.044 (0.047) Loss 2.3387 (2.3779) Prec@1 46.484 (45.947) Prec@5 69.531 (71.419)
Epoch: [45][3970/5005] Time 0.209 (0.210) Data 0.048 (0.047) Loss 2.3723 (2.3779) Prec@1 46.094 (45.947) Prec@5 70.312 (71.421)
Epoch: [45][3980/5005] Time 0.204 (0.210) Data 0.049 (0.047) Loss 2.2686 (2.3779) Prec@1 47.656 (45.950) Prec@5 71.094 (71.421)
Epoch: [45][3990/5005] Time 0.203 (0.210) Data 0.048 (0.047) Loss 2.4284 (2.3779) Prec@1 45.703 (45.947) Prec@5 70.703 (71.419)
Epoch: [45][4000/5005] Time 0.210 (0.210) Data 0.047 (0.047) Loss 2.2894 (2.3779) Prec@1 45.703 (45.945) Prec@5 73.047 (71.419)
Epoch: [45][4010/5005] Time 0.209 (0.210) Data 0.038 (0.047) Loss 2.3274 (2.3777) Prec@1 46.484 (45.948) Prec@5 72.266 (71.424)
Epoch: [45][4020/5005] Time 0.201 (0.210) Data 0.046 (0.047) Loss 2.5352 (2.3778) Prec@1 42.188 (45.946) Prec@5 67.969 (71.422)
Epoch: [45][4030/5005] Time 0.203 (0.210) Data 0.044 (0.047) Loss 2.6144 (2.3781) Prec@1 45.312 (45.944) Prec@5 66.797 (71.415)
Epoch: [45][4040/5005] Time 0.198 (0.210) Data 0.043 (0.047) Loss 2.5237 (2.3784) Prec@1 42.578 (45.942) Prec@5 67.188 (71.413)
Epoch: [45][4050/5005] Time 0.208 (0.210) Data 0.059 (0.047) Loss 2.6188 (2.3783) Prec@1 43.750 (45.943) Prec@5 64.062 (71.416)
Epoch: [45][4060/5005] Time 0.210 (0.210) Data 0.042 (0.047) Loss 2.3113 (2.3782) Prec@1 43.750 (45.944) Prec@5 71.875 (71.418)
Epoch: [45][4070/5005] Time 0.206 (0.210) Data 0.049 (0.047) Loss 2.6607 (2.3783) Prec@1 42.969 (45.943) Prec@5 69.531 (71.419)
Epoch: [45][4080/5005] Time 0.208 (0.210) Data 0.046 (0.047) Loss 2.1766 (2.3782) Prec@1 50.781 (45.944) Prec@5 75.391 (71.419)
Epoch: [45][4090/5005] Time 0.210 (0.210) Data 0.043 (0.047) Loss 2.4124 (2.3782) Prec@1 47.266 (45.946) Prec@5 69.141 (71.417)
Epoch: [45][4100/5005] Time 0.204 (0.210) Data 0.048 (0.047) Loss 2.3110 (2.3781) Prec@1 43.359 (45.945) Prec@5 73.047 (71.416)
Epoch: [45][4110/5005] Time 0.204 (0.210) Data 0.057 (0.047) Loss 2.4767 (2.3782) Prec@1 43.750 (45.943) Prec@5 73.047 (71.417)
Epoch: [45][4120/5005] Time 0.215 (0.209) Data 0.043 (0.047) Loss 2.5246 (2.3780) Prec@1 41.406 (45.944) Prec@5 67.188 (71.417)
Epoch: [45][4130/5005] Time 0.205 (0.209) Data 0.042 (0.047) Loss 2.5405 (2.3780) Prec@1 40.625 (45.945) Prec@5 69.531 (71.418)
Epoch: [45][4140/5005] Time 0.208 (0.209) Data 0.042 (0.047) Loss 2.4245 (2.3779) Prec@1 43.750 (45.946) Prec@5 69.531 (71.416)
Epoch: [45][4150/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.5808 (2.3780) Prec@1 42.188 (45.944) Prec@5 71.094 (71.414)
Epoch: [45][4160/5005] Time 0.215 (0.209) Data 0.046 (0.047) Loss 2.2464 (2.3781) Prec@1 48.438 (45.943) Prec@5 72.656 (71.413)
Epoch: [45][4170/5005] Time 0.222 (0.210) Data 0.043 (0.047) Loss 2.3256 (2.3780) Prec@1 46.094 (45.945) Prec@5 73.828 (71.414)
Epoch: [45][4180/5005] Time 0.213 (0.209) Data 0.042 (0.047) Loss 2.3026 (2.3779) Prec@1 50.000 (45.948) Prec@5 73.047 (71.414)
Epoch: [45][4190/5005] Time 0.215 (0.209) Data 0.044 (0.047) Loss 2.2971 (2.3780) Prec@1 46.094 (45.947) Prec@5 73.438 (71.412)
Epoch: [45][4200/5005] Time 0.217 (0.209) Data 0.045 (0.047) Loss 2.1564 (2.3780) Prec@1 46.094 (45.948) Prec@5 75.000 (71.412)
Epoch: [45][4210/5005] Time 0.211 (0.209) Data 0.044 (0.047) Loss 2.3240 (2.3780) Prec@1 46.484 (45.950) Prec@5 71.484 (71.412)
Epoch: [45][4220/5005] Time 0.213 (0.209) Data 0.043 (0.047) Loss 2.4898 (2.3780) Prec@1 42.188 (45.949) Prec@5 69.922 (71.411)
Epoch: [45][4230/5005] Time 0.198 (0.209) Data 0.043 (0.047) Loss 2.4785 (2.3780) Prec@1 45.312 (45.949) Prec@5 69.531 (71.411)
Epoch: [45][4240/5005] Time 0.205 (0.209) Data 0.049 (0.047) Loss 2.3114 (2.3782) Prec@1 45.312 (45.945) Prec@5 75.000 (71.409)
Epoch: [45][4250/5005] Time 0.194 (0.209) Data 0.041 (0.047) Loss 2.3467 (2.3781) Prec@1 44.141 (45.943) Prec@5 70.312 (71.409)
Epoch: [45][4260/5005] Time 0.207 (0.209) Data 0.042 (0.047) Loss 2.4152 (2.3781) Prec@1 44.141 (45.942) Prec@5 68.359 (71.408)
Epoch: [45][4270/5005] Time 0.214 (0.209) Data 0.044 (0.047) Loss 2.6213 (2.3783) Prec@1 45.312 (45.941) Prec@5 69.141 (71.406)
Epoch: [45][4280/5005] Time 0.212 (0.209) Data 0.044 (0.047) Loss 2.5640 (2.3784) Prec@1 45.703 (45.940) Prec@5 70.703 (71.405)
Epoch: [45][4290/5005] Time 0.211 (0.209) Data 0.048 (0.047) Loss 2.6218 (2.3785) Prec@1 46.094 (45.939) Prec@5 64.453 (71.404)
Epoch: [45][4300/5005] Time 0.202 (0.209) Data 0.042 (0.047) Loss 2.2786 (2.3783) Prec@1 46.094 (45.942) Prec@5 78.125 (71.408)
Epoch: [45][4310/5005] Time 0.210 (0.209) Data 0.044 (0.047) Loss 2.4004 (2.3784) Prec@1 46.094 (45.944) Prec@5 68.359 (71.407)
Epoch: [45][4320/5005] Time 0.208 (0.209) Data 0.043 (0.047) Loss 2.4324 (2.3785) Prec@1 46.094 (45.944) Prec@5 71.094 (71.406)
Epoch: [45][4330/5005] Time 0.197 (0.209) Data 0.042 (0.047) Loss 2.3318 (2.3785) Prec@1 48.828 (45.944) Prec@5 71.875 (71.405)
Epoch: [45][4340/5005] Time 0.205 (0.209) Data 0.055 (0.047) Loss 2.4192 (2.3786) Prec@1 45.312 (45.941) Prec@5 69.141 (71.404)
Epoch: [45][4350/5005] Time 0.214 (0.209) Data 0.046 (0.047) Loss 2.4295 (2.3785) Prec@1 49.219 (45.942) Prec@5 67.969 (71.404)
Epoch: [45][4360/5005] Time 0.216 (0.209) Data 0.044 (0.047) Loss 2.1735 (2.3784) Prec@1 50.391 (45.943) Prec@5 72.266 (71.406)
Epoch: [45][4370/5005] Time 0.199 (0.209) Data 0.047 (0.047) Loss 2.3258 (2.3784) Prec@1 47.656 (45.946) Prec@5 71.875 (71.406)
Epoch: [45][4380/5005] Time 0.203 (0.209) Data 0.041 (0.047) Loss 2.3495 (2.3784) Prec@1 46.484 (45.943) Prec@5 69.922 (71.408)
Epoch: [45][4390/5005] Time 0.203 (0.209) Data 0.044 (0.047) Loss 2.3938 (2.3782) Prec@1 42.578 (45.947) Prec@5 71.875 (71.412)
Epoch: [45][4400/5005] Time 0.202 (0.209) Data 0.049 (0.047) Loss 2.2380 (2.3782) Prec@1 49.609 (45.949) Prec@5 73.047 (71.411)
Epoch: [45][4410/5005] Time 0.204 (0.209) Data 0.042 (0.047) Loss 2.3802 (2.3781) Prec@1 42.969 (45.948) Prec@5 71.094 (71.413)
Epoch: [45][4420/5005] Time 0.213 (0.209) Data 0.041 (0.047) Loss 2.0757 (2.3780) Prec@1 50.391 (45.948) Prec@5 74.609 (71.416)
Epoch: [45][4430/5005] Time 0.212 (0.209) Data 0.041 (0.047) Loss 2.5021 (2.3778) Prec@1 41.406 (45.952) Prec@5 67.969 (71.418)
Epoch: [45][4440/5005] Time 0.203 (0.209) Data 0.037 (0.047) Loss 2.4622 (2.3778) Prec@1 44.141 (45.951) Prec@5 68.359 (71.418)
Epoch: [45][4450/5005] Time 0.207 (0.209) Data 0.043 (0.047) Loss 2.2278 (2.3778) Prec@1 46.484 (45.949) Prec@5 76.562 (71.418)
Epoch: [45][4460/5005] Time 0.210 (0.209) Data 0.046 (0.047) Loss 2.4979 (2.3778) Prec@1 44.531 (45.952) Prec@5 65.625 (71.417)
Epoch: [45][4470/5005] Time 0.209 (0.209) Data 0.046 (0.047) Loss 2.2005 (2.3777) Prec@1 49.219 (45.954) Prec@5 76.172 (71.417)
Epoch: [45][4480/5005] Time 0.194 (0.209) Data 0.062 (0.047) Loss 2.2393 (2.3778) Prec@1 49.219 (45.954) Prec@5 74.219 (71.415)
Epoch: [45][4490/5005] Time 0.205 (0.209) Data 0.051 (0.047) Loss 2.3367 (2.3779) Prec@1 45.312 (45.952) Prec@5 73.828 (71.415)
Epoch: [45][4500/5005] Time 0.208 (0.209) Data 0.049 (0.047) Loss 2.2612 (2.3779) Prec@1 46.094 (45.953) Prec@5 75.391 (71.418)
Epoch: [45][4510/5005] Time 0.203 (0.209) Data 0.061 (0.047) Loss 2.0970 (2.3779) Prec@1 52.734 (45.951) Prec@5 76.172 (71.419)
Epoch: [45][4520/5005] Time 0.211 (0.209) Data 0.044 (0.047) Loss 2.1380 (2.3777) Prec@1 49.609 (45.956) Prec@5 76.953 (71.423)
Epoch: [45][4530/5005] Time 0.212 (0.209) Data 0.042 (0.047) Loss 2.3368 (2.3776) Prec@1 47.266 (45.959) Prec@5 72.266 (71.424)
Epoch: [45][4540/5005] Time 0.207 (0.209) Data 0.043 (0.047) Loss 2.4728 (2.3778) Prec@1 45.703 (45.953) Prec@5 70.703 (71.423)
Epoch: [45][4550/5005] Time 0.204 (0.209) Data 0.045 (0.047) Loss 2.4558 (2.3779) Prec@1 42.969 (45.951) Prec@5 68.359 (71.423)
Epoch: [45][4560/5005] Time 0.213 (0.209) Data 0.049 (0.047) Loss 2.3058 (2.3779) Prec@1 48.438 (45.950) Prec@5 72.266 (71.423)
Epoch: [45][4570/5005] Time 0.211 (0.209) Data 0.045 (0.047) Loss 2.4740 (2.3778) Prec@1 46.094 (45.952) Prec@5 68.359 (71.425)
Epoch: [45][4580/5005] Time 0.208 (0.209) Data 0.041 (0.047) Loss 2.3303 (2.3778) Prec@1 47.656 (45.954) Prec@5 71.875 (71.427)
Epoch: [45][4590/5005] Time 0.202 (0.209) Data 0.046 (0.047) Loss 2.2437 (2.3778) Prec@1 53.906 (45.953) Prec@5 74.609 (71.428)
Epoch: [45][4600/5005] Time 0.217 (0.209) Data 0.045 (0.047) Loss 2.2484 (2.3778) Prec@1 50.391 (45.954) Prec@5 73.438 (71.426)
Epoch: [45][4610/5005] Time 0.205 (0.209) Data 0.042 (0.047) Loss 2.2550 (2.3778) Prec@1 48.828 (45.957) Prec@5 71.875 (71.426)
Epoch: [45][4620/5005] Time 0.209 (0.209) Data 0.048 (0.047) Loss 2.3154 (2.3778) Prec@1 47.266 (45.959) Prec@5 71.875 (71.427)
Epoch: [45][4630/5005] Time 0.205 (0.209) Data 0.050 (0.047) Loss 2.2392 (2.3776) Prec@1 50.781 (45.962) Prec@5 75.000 (71.431)
Epoch: [45][4640/5005] Time 0.207 (0.209) Data 0.041 (0.047) Loss 2.4403 (2.3776) Prec@1 47.656 (45.962) Prec@5 71.094 (71.431)
Epoch: [45][4650/5005] Time 0.201 (0.209) Data 0.042 (0.047) Loss 2.5315 (2.3776) Prec@1 43.750 (45.960) Prec@5 69.922 (71.432)
Epoch: [45][4660/5005] Time 0.205 (0.209) Data 0.043 (0.047) Loss 2.7532 (2.3776) Prec@1 37.500 (45.961) Prec@5 64.062 (71.432)
Epoch: [45][4670/5005] Time 0.213 (0.209) Data 0.044 (0.047) Loss 2.1711 (2.3775) Prec@1 48.828 (45.963) Prec@5 74.609 (71.434)
Epoch: [45][4680/5005] Time 0.198 (0.209) Data 0.060 (0.047) Loss 2.2955 (2.3775) Prec@1 46.875 (45.963) Prec@5 75.781 (71.435)
Epoch: [45][4690/5005] Time 0.211 (0.209) Data 0.042 (0.047) Loss 2.3216 (2.3774) Prec@1 46.875 (45.964) Prec@5 72.266 (71.437)
Epoch: [45][4700/5005] Time 0.200 (0.209) Data 0.043 (0.047) Loss 2.2959 (2.3774) Prec@1 47.656 (45.965) Prec@5 73.828 (71.438)
Epoch: [45][4710/5005] Time 0.209 (0.209) Data 0.044 (0.047) Loss 2.1722 (2.3772) Prec@1 47.656 (45.969) Prec@5 75.391 (71.442)
Epoch: [45][4720/5005] Time 0.204 (0.209) Data 0.044 (0.047) Loss 2.2017 (2.3771) Prec@1 48.438 (45.969) Prec@5 75.781 (71.444)
Epoch: [45][4730/5005] Time 0.209 (0.209) Data 0.041 (0.047) Loss 2.3079 (2.3772) Prec@1 43.359 (45.966) Prec@5 74.219 (71.443)
Epoch: [45][4740/5005] Time 0.198 (0.209) Data 0.045 (0.047) Loss 2.3466 (2.3771) Prec@1 45.312 (45.970) Prec@5 71.484 (71.443)
Epoch: [45][4750/5005] Time 0.215 (0.209) Data 0.042 (0.047) Loss 2.3000 (2.3771) Prec@1 45.312 (45.969) Prec@5 73.047 (71.442)
Epoch: [45][4760/5005] Time 0.212 (0.209) Data 0.047 (0.047) Loss 2.5156 (2.3770) Prec@1 42.188 (45.971) Prec@5 69.922 (71.442)
Epoch: [45][4770/5005] Time 0.203 (0.209) Data 0.044 (0.047) Loss 2.3425 (2.3769) Prec@1 44.531 (45.972) Prec@5 74.219 (71.443)
Epoch: [45][4780/5005] Time 0.213 (0.209) Data 0.043 (0.047) Loss 2.3144 (2.3769) Prec@1 45.312 (45.973) Prec@5 74.609 (71.443)
Epoch: [45][4790/5005] Time 0.219 (0.209) Data 0.050 (0.047) Loss 2.4597 (2.3770) Prec@1 43.359 (45.974) Prec@5 69.141 (71.442)
Epoch: [45][4800/5005] Time 0.205 (0.209) Data 0.051 (0.047) Loss 2.4663 (2.3769) Prec@1 43.359 (45.974) Prec@5 69.531 (71.443)
Epoch: [45][4810/5005] Time 0.207 (0.209) Data 0.044 (0.047) Loss 2.6228 (2.3769) Prec@1 42.578 (45.974) Prec@5 65.234 (71.445)
Epoch: [45][4820/5005] Time 0.203 (0.209) Data 0.051 (0.047) Loss 2.5445 (2.3768) Prec@1 42.578 (45.976) Prec@5 68.750 (71.448)
Epoch: [45][4830/5005] Time 0.201 (0.209) Data 0.049 (0.047) Loss 2.4990 (2.3766) Prec@1 46.094 (45.980) Prec@5 69.531 (71.452)
Epoch: [45][4840/5005] Time 0.205 (0.209) Data 0.042 (0.047) Loss 2.2141 (2.3767) Prec@1 46.875 (45.979) Prec@5 73.438 (71.449)
Epoch: [45][4850/5005] Time 0.205 (0.209) Data 0.045 (0.047) Loss 2.3807 (2.3769) Prec@1 44.531 (45.976) Prec@5 72.266 (71.446)
Epoch: [45][4860/5005] Time 0.209 (0.209) Data 0.046 (0.047) Loss 2.4395 (2.3769) Prec@1 45.312 (45.977) Prec@5 71.484 (71.446)
Epoch: [45][4870/5005] Time 0.230 (0.209) Data 0.047 (0.047) Loss 2.2639 (2.3769) Prec@1 50.781 (45.976) Prec@5 73.438 (71.445)
Epoch: [45][4880/5005] Time 0.191 (0.209) Data 0.054 (0.047) Loss 2.2864 (2.3769) Prec@1 48.438 (45.980) Prec@5 70.312 (71.446)
Epoch: [45][4890/5005] Time 0.206 (0.209) Data 0.057 (0.047) Loss 2.4355 (2.3768) Prec@1 46.094 (45.980) Prec@5 70.312 (71.448)
Epoch: [45][4900/5005] Time 0.204 (0.209) Data 0.041 (0.047) Loss 2.3049 (2.3767) Prec@1 46.094 (45.981) Prec@5 73.438 (71.451)
Epoch: [45][4910/5005] Time 0.203 (0.209) Data 0.047 (0.047) Loss 2.3095 (2.3764) Prec@1 48.047 (45.986) Prec@5 73.828 (71.456)
Epoch: [45][4920/5005] Time 0.213 (0.209) Data 0.053 (0.047) Loss 2.3036 (2.3764) Prec@1 46.094 (45.988) Prec@5 71.484 (71.456)
Epoch: [45][4930/5005] Time 0.202 (0.209) Data 0.051 (0.047) Loss 2.5759 (2.3764) Prec@1 44.922 (45.986) Prec@5 66.016 (71.456)
Epoch: [45][4940/5005] Time 0.203 (0.209) Data 0.064 (0.047) Loss 2.3807 (2.3764) Prec@1 47.266 (45.986) Prec@5 72.266 (71.454)
Epoch: [45][4950/5005] Time 0.194 (0.209) Data 0.043 (0.047) Loss 2.1471 (2.3765) Prec@1 48.828 (45.984) Prec@5 74.219 (71.454)
Epoch: [45][4960/5005] Time 0.201 (0.209) Data 0.063 (0.047) Loss 2.3493 (2.3765) Prec@1 46.875 (45.983) Prec@5 72.656 (71.454)
Epoch: [45][4970/5005] Time 0.202 (0.209) Data 0.050 (0.047) Loss 2.3573 (2.3764) Prec@1 43.750 (45.983) Prec@5 71.484 (71.455)
Epoch: [45][4980/5005] Time 0.207 (0.209) Data 0.042 (0.047) Loss 2.2906 (2.3763) Prec@1 46.094 (45.985) Prec@5 73.438 (71.458)
Epoch: [45][4990/5005] Time 0.209 (0.209) Data 0.028 (0.047) Loss 2.6030 (2.3763) Prec@1 41.406 (45.987) Prec@5 67.578 (71.457)
Epoch: [45][5000/5005] Time 0.206 (0.209) Data 0.021 (0.047) Loss 2.4807 (2.3763) Prec@1 44.922 (45.985) Prec@5 70.703 (71.457)
Test: [0/196] Time 1.293 (1.293) Loss 2.4569 (2.4569) Prec@1 45.312 (45.312) Prec@5 68.750 (68.750)
Test: [10/196] Time 0.046 (0.310) Loss 2.4950 (2.5746) Prec@1 47.656 (43.040) Prec@5 69.531 (68.608)
Test: [20/196] Time 0.084 (0.226) Loss 2.5126 (2.5909) Prec@1 45.703 (43.043) Prec@5 72.656 (68.899)
Test: [30/196] Time 0.044 (0.211) Loss 2.5182 (2.6049) Prec@1 41.797 (42.704) Prec@5 67.578 (68.385)
Test: [40/196] Time 0.506 (0.210) Loss 2.4045 (2.6021) Prec@1 48.047 (42.731) Prec@5 72.266 (68.445)
Test: [50/196] Time 0.045 (0.203) Loss 2.6534 (2.6023) Prec@1 46.094 (42.823) Prec@5 70.703 (68.604)
Test: [60/196] Time 0.472 (0.195) Loss 2.5154 (2.5861) Prec@1 46.484 (43.180) Prec@5 68.750 (68.878)
Test: [70/196] Time 0.044 (0.189) Loss 2.5666 (2.5800) Prec@1 45.703 (43.315) Prec@5 67.578 (68.976)
Test: [80/196] Time 0.433 (0.189) Loss 2.4794 (2.5859) Prec@1 45.312 (43.220) Prec@5 73.828 (68.899)
Test: [90/196] Time 0.456 (0.189) Loss 2.7303 (2.5892) Prec@1 42.969 (43.192) Prec@5 65.234 (68.806)
Test: [100/196] Time 0.044 (0.183) Loss 2.6415 (2.5879) Prec@1 45.312 (43.332) Prec@5 65.625 (68.789)
Test: [110/196] Time 0.042 (0.182) Loss 2.7284 (2.5905) Prec@1 41.406 (43.349) Prec@5 67.578 (68.803)
Test: [120/196] Time 0.043 (0.181) Loss 2.3989 (2.5871) Prec@1 42.188 (43.459) Prec@5 71.875 (68.811)
Test: [130/196] Time 0.373 (0.184) Loss 2.2978 (2.5845) Prec@1 46.484 (43.503) Prec@5 73.828 (68.819)
Test: [140/196] Time 0.045 (0.185) Loss 2.3624 (2.5854) Prec@1 49.219 (43.526) Prec@5 72.656 (68.769)
Test: [150/196] Time 0.046 (0.180) Loss 2.2120 (2.5846) Prec@1 50.000 (43.587) Prec@5 76.562 (68.799)
Test: [160/196] Time 0.042 (0.182) Loss 2.5641 (2.5824) Prec@1 49.219 (43.648) Prec@5 69.141 (68.835)
Test: [170/196] Time 0.249 (0.179) Loss 2.4943 (2.5848) Prec@1 44.531 (43.627) Prec@5 70.312 (68.777)
Test: [180/196] Time 0.045 (0.180) Loss 2.7966 (2.5902) Prec@1 38.281 (43.519) Prec@5 64.453 (68.696)
Test: [190/196] Time 0.042 (0.180) Loss 2.8083 (2.5942) Prec@1 39.062 (43.468) Prec@5 64.844 (68.578)
* Prec@1 43.446 Prec@5 68.592
Learning rate: 0.0001
Epoch: [46][0/5005] Time 1.023 (1.023) Data 0.906 (0.906) Loss 2.3457 (2.3457) Prec@1 48.047 (48.047) Prec@5 71.484 (71.484)
Epoch: [46][10/5005] Time 0.213 (0.283) Data 0.043 (0.134) Loss 2.3725 (2.4030) Prec@1 47.656 (46.129) Prec@5 71.484 (71.307)
Epoch: [46][20/5005] Time 0.204 (0.245) Data 0.044 (0.093) Loss 2.4803 (2.3990) Prec@1 43.359 (45.201) Prec@5 69.922 (71.261)
Epoch: [46][30/5005] Time 0.208 (0.232) Data 0.043 (0.077) Loss 2.3003 (2.3665) Prec@1 46.875 (45.854) Prec@5 73.047 (71.396)
Epoch: [46][40/5005] Time 0.208 (0.225) Data 0.043 (0.070) Loss 2.1909 (2.3676) Prec@1 49.219 (45.703) Prec@5 72.656 (71.551)
Epoch: [46][50/5005] Time 0.206 (0.222) Data 0.044 (0.065) Loss 2.2222 (2.3688) Prec@1 49.609 (45.627) Prec@5 75.391 (71.392)
Epoch: [46][60/5005] Time 0.206 (0.219) Data 0.042 (0.061) Loss 2.3468 (2.3745) Prec@1 46.094 (45.671) Prec@5 71.484 (71.414)
Epoch: [46][70/5005] Time 0.211 (0.217) Data 0.044 (0.059) Loss 2.2901 (2.3799) Prec@1 47.656 (45.549) Prec@5 75.391 (71.330)
Epoch: [46][80/5005] Time 0.192 (0.215) Data 0.040 (0.057) Loss 2.2564 (2.3742) Prec@1 50.000 (45.785) Prec@5 73.438 (71.528)
Epoch: [46][90/5005] Time 0.201 (0.213) Data 0.046 (0.056) Loss 2.3073 (2.3722) Prec@1 48.828 (46.012) Prec@5 73.828 (71.579)
Epoch: [46][100/5005] Time 0.205 (0.212) Data 0.050 (0.055) Loss 2.2720 (2.3776) Prec@1 47.266 (45.939) Prec@5 72.266 (71.422)
Epoch: [46][110/5005] Time 0.199 (0.211) Data 0.042 (0.055) Loss 2.5088 (2.3802) Prec@1 44.922 (45.921) Prec@5 68.359 (71.358)
Epoch: [46][120/5005] Time 0.199 (0.210) Data 0.050 (0.054) Loss 2.4320 (2.3839) Prec@1 43.750 (45.848) Prec@5 68.750 (71.284)
Epoch: [46][130/5005] Time 0.192 (0.209) Data 0.046 (0.054) Loss 2.4842 (2.3825) Prec@1 44.141 (45.888) Prec@5 67.969 (71.249)
Epoch: [46][140/5005] Time 0.205 (0.209) Data 0.045 (0.053) Loss 2.4154 (2.3804) Prec@1 41.797 (45.803) Prec@5 73.828 (71.354)
Epoch: [46][150/5005] Time 0.203 (0.209) Data 0.051 (0.053) Loss 2.3760 (2.3802) Prec@1 44.922 (45.765) Prec@5 73.047 (71.373)
Epoch: [46][160/5005] Time 0.210 (0.209) Data 0.059 (0.053) Loss 2.3755 (2.3801) Prec@1 46.094 (45.769) Prec@5 71.094 (71.421)
Epoch: [46][170/5005] Time 0.211 (0.209) Data 0.062 (0.053) Loss 2.4704 (2.3817) Prec@1 48.047 (45.794) Prec@5 71.094 (71.411)
Epoch: [46][180/5005] Time 0.214 (0.210) Data 0.065 (0.053) Loss 2.5108 (2.3847) Prec@1 43.359 (45.781) Prec@5 67.578 (71.316)
Epoch: [46][190/5005] Time 0.216 (0.210) Data 0.045 (0.052) Loss 2.5011 (2.3898) Prec@1 44.531 (45.707) Prec@5 67.969 (71.225)
Epoch: [46][200/5005] Time 0.221 (0.211) Data 0.044 (0.052) Loss 2.6331 (2.3900) Prec@1 41.797 (45.713) Prec@5 67.969 (71.197)
Epoch: [46][210/5005] Time 0.222 (0.211) Data 0.044 (0.052) Loss 2.1946 (2.3887) Prec@1 50.781 (45.725) Prec@5 72.266 (71.249)
Epoch: [46][220/5005] Time 0.222 (0.212) Data 0.043 (0.051) Loss 2.2930 (2.3868) Prec@1 46.875 (45.749) Prec@5 74.219 (71.279)
Epoch: [46][230/5005] Time 0.225 (0.212) Data 0.046 (0.051) Loss 2.4006 (2.3866) Prec@1 46.094 (45.771) Prec@5 71.484 (71.285)
Epoch: [46][240/5005] Time 0.226 (0.213) Data 0.043 (0.051) Loss 2.3068 (2.3858) Prec@1 50.391 (45.789) Prec@5 69.531 (71.303)
Epoch: [46][250/5005] Time 0.212 (0.213) Data 0.044 (0.050) Loss 2.4961 (2.3848) Prec@1 44.141 (45.820) Prec@5 70.703 (71.323)
Epoch: [46][260/5005] Time 0.216 (0.213) Data 0.046 (0.050) Loss 2.1690 (2.3843) Prec@1 45.703 (45.824) Prec@5 73.438 (71.329)
Epoch: [46][270/5005] Time 0.219 (0.213) Data 0.039 (0.050) Loss 2.3381 (2.3841) Prec@1 46.875 (45.843) Prec@5 76.953 (71.337)
Epoch: [46][280/5005] Time 0.217 (0.213) Data 0.042 (0.050) Loss 2.7458 (2.3856) Prec@1 43.359 (45.846) Prec@5 62.891 (71.309)
Epoch: [46][290/5005] Time 0.209 (0.213) Data 0.057 (0.050) Loss 2.2165 (2.3864) Prec@1 46.875 (45.835) Prec@5 73.828 (71.303)
Epoch: [46][300/5005] Time 0.221 (0.214) Data 0.042 (0.050) Loss 2.2230 (2.3870) Prec@1 46.484 (45.833) Prec@5 75.000 (71.320)
Epoch: [46][310/5005] Time 0.222 (0.214) Data 0.044 (0.050) Loss 2.3484 (2.3853) Prec@1 44.922 (45.844) Prec@5 70.703 (71.346)
Epoch: [46][320/5005] Time 0.215 (0.214) Data 0.059 (0.050) Loss 2.5480 (2.3869) Prec@1 42.188 (45.827) Prec@5 71.094 (71.341)
Epoch: [46][330/5005] Time 0.222 (0.214) Data 0.045 (0.050) Loss 2.0917 (2.3847) Prec@1 47.656 (45.813) Prec@5 77.344 (71.376)
Epoch: [46][340/5005] Time 0.219 (0.214) Data 0.051 (0.050) Loss 2.4617 (2.3890) Prec@1 46.875 (45.776) Prec@5 68.359 (71.279)
Epoch: [46][350/5005] Time 0.219 (0.214) Data 0.048 (0.050) Loss 2.4286 (2.3867) Prec@1 47.656 (45.819) Prec@5 64.844 (71.290)
Epoch: [46][360/5005] Time 0.207 (0.214) Data 0.052 (0.050) Loss 2.5632 (2.3867) Prec@1 41.797 (45.795) Prec@5 64.453 (71.267)
Epoch: [46][370/5005] Time 0.197 (0.214) Data 0.052 (0.050) Loss 2.4354 (2.3852) Prec@1 44.141 (45.786) Prec@5 71.484 (71.299)
Epoch: [46][380/5005] Time 0.210 (0.214) Data 0.051 (0.050) Loss 2.5037 (2.3861) Prec@1 45.703 (45.752) Prec@5 66.016 (71.262)
Epoch: [46][390/5005] Time 0.211 (0.214) Data 0.058 (0.050) Loss 2.4056 (2.3870) Prec@1 48.438 (45.727) Prec@5 72.266 (71.255)
Epoch: [46][400/5005] Time 0.210 (0.214) Data 0.049 (0.050) Loss 2.1781 (2.3859) Prec@1 49.609 (45.757) Prec@5 74.219 (71.270)
Epoch: [46][410/5005] Time 0.211 (0.214) Data 0.042 (0.050) Loss 2.1523 (2.3853) Prec@1 51.953 (45.774) Prec@5 74.609 (71.274)
Epoch: [46][420/5005] Time 0.214 (0.214) Data 0.044 (0.050) Loss 2.2975 (2.3849) Prec@1 47.266 (45.806) Prec@5 73.047 (71.286)
Epoch: [46][430/5005] Time 0.209 (0.214) Data 0.044 (0.050) Loss 2.2666 (2.3846) Prec@1 50.781 (45.785) Prec@5 72.656 (71.301)
Epoch: [46][440/5005] Time 0.213 (0.214) Data 0.045 (0.050) Loss 2.3098 (2.3844) Prec@1 47.656 (45.770) Prec@5 73.047 (71.313)
Epoch: [46][450/5005] Time 0.221 (0.214) Data 0.041 (0.050) Loss 2.2090 (2.3859) Prec@1 48.828 (45.733) Prec@5 76.172 (71.286)
Epoch: [46][460/5005] Time 0.214 (0.214) Data 0.051 (0.050) Loss 2.4735 (2.3863) Prec@1 45.312 (45.714) Prec@5 69.141 (71.267)
Epoch: [46][470/5005] Time 0.219 (0.214) Data 0.043 (0.049) Loss 2.3302 (2.3869) Prec@1 46.875 (45.718) Prec@5 72.266 (71.256)
Epoch: [46][480/5005] Time 0.216 (0.214) Data 0.044 (0.049) Loss 2.4559 (2.3869) Prec@1 46.094 (45.725) Prec@5 67.578 (71.257)
Epoch: [46][490/5005] Time 0.215 (0.214) Data 0.044 (0.049) Loss 2.3219 (2.3868) Prec@1 50.781 (45.723) Prec@5 71.094 (71.254)
Epoch: [46][500/5005] Time 0.214 (0.214) Data 0.044 (0.049) Loss 2.5892 (2.3888) Prec@1 44.922 (45.719) Prec@5 67.188 (71.204)
Epoch: [46][510/5005] Time 0.216 (0.214) Data 0.044 (0.049) Loss 2.6020 (2.3897) Prec@1 38.281 (45.718) Prec@5 66.406 (71.185)
Epoch: [46][520/5005] Time 0.212 (0.214) Data 0.050 (0.049) Loss 2.5008 (2.3892) Prec@1 44.141 (45.718) Prec@5 70.703 (71.211)
Epoch: [46][530/5005] Time 0.218 (0.214) Data 0.043 (0.049) Loss 2.3243 (2.3888) Prec@1 47.656 (45.727) Prec@5 71.094 (71.217)
Epoch: [46][540/5005] Time 0.214 (0.214) Data 0.043 (0.049) Loss 2.5394 (2.3890) Prec@1 45.312 (45.739) Prec@5 69.922 (71.218)
Epoch: [46][550/5005] Time 0.220 (0.214) Data 0.047 (0.049) Loss 2.3079 (2.3881) Prec@1 47.656 (45.769) Prec@5 73.047 (71.228)
Epoch: [46][560/5005] Time 0.216 (0.214) Data 0.058 (0.049) Loss 2.5715 (2.3878) Prec@1 44.922 (45.779) Prec@5 70.703 (71.254)
Epoch: [46][570/5005] Time 0.213 (0.214) Data 0.058 (0.049) Loss 2.5060 (2.3886) Prec@1 44.922 (45.770) Prec@5 69.531 (71.251)
Epoch: [46][580/5005] Time 0.216 (0.214) Data 0.044 (0.049) Loss 2.3732 (2.3881) Prec@1 44.922 (45.780) Prec@5 68.750 (71.250)
Epoch: [46][590/5005] Time 0.207 (0.214) Data 0.043 (0.049) Loss 2.5460 (2.3881) Prec@1 44.922 (45.789) Prec@5 68.359 (71.242)
Epoch: [46][600/5005] Time 0.216 (0.214) Data 0.043 (0.049) Loss 2.3131 (2.3889) Prec@1 50.391 (45.784) Prec@5 71.875 (71.235)
Epoch: [46][610/5005] Time 0.217 (0.214) Data 0.043 (0.049) Loss 2.3918 (2.3891) Prec@1 46.875 (45.780) Prec@5 72.266 (71.229)
Epoch: [46][620/5005] Time 0.203 (0.214) Data 0.040 (0.049) Loss 2.3661 (2.3891) Prec@1 49.609 (45.790) Prec@5 69.922 (71.237)
Epoch: [46][630/5005] Time 0.214 (0.214) Data 0.043 (0.048) Loss 2.5629 (2.3892) Prec@1 44.922 (45.797) Prec@5 67.188 (71.240)
Epoch: [46][640/5005] Time 0.216 (0.214) Data 0.041 (0.048) Loss 2.2359 (2.3892) Prec@1 46.875 (45.791) Prec@5 74.219 (71.246)
Epoch: [46][650/5005] Time 0.218 (0.214) Data 0.042 (0.048) Loss 2.5657 (2.3899) Prec@1 43.359 (45.789) Prec@5 63.672 (71.219)
Epoch: [46][660/5005] Time 0.206 (0.214) Data 0.047 (0.048) Loss 2.5265 (2.3892) Prec@1 42.578 (45.798) Prec@5 69.531 (71.231)
Epoch: [46][670/5005] Time 0.210 (0.214) Data 0.042 (0.048) Loss 2.5447 (2.3887) Prec@1 44.531 (45.801) Prec@5 69.531 (71.247)
Epoch: [46][680/5005] Time 0.217 (0.214) Data 0.041 (0.048) Loss 2.3351 (2.3887) Prec@1 46.094 (45.809) Prec@5 72.656 (71.260)
Epoch: [46][690/5005] Time 0.208 (0.214) Data 0.051 (0.048) Loss 2.1919 (2.3884) Prec@1 45.703 (45.816) Prec@5 77.734 (71.259)
Epoch: [46][700/5005] Time 0.211 (0.214) Data 0.053 (0.049) Loss 2.5006 (2.3878) Prec@1 46.484 (45.837) Prec@5 68.359 (71.265)
Epoch: [46][710/5005] Time 0.220 (0.214) Data 0.042 (0.049) Loss 2.1407 (2.3876) Prec@1 51.172 (45.843) Prec@5 73.438 (71.271)
Epoch: [46][720/5005] Time 0.201 (0.214) Data 0.058 (0.049) Loss 2.0881 (2.3865) Prec@1 51.953 (45.858) Prec@5 76.562 (71.300)
Epoch: [46][730/5005] Time 0.197 (0.214) Data 0.057 (0.049) Loss 2.5454 (2.3869) Prec@1 44.531 (45.861) Prec@5 69.922 (71.293)
Epoch: [46][740/5005] Time 0.215 (0.214) Data 0.052 (0.049) Loss 2.4378 (2.3866) Prec@1 48.047 (45.869) Prec@5 67.578 (71.296)
Epoch: [46][750/5005] Time 0.214 (0.214) Data 0.049 (0.049) Loss 2.2255 (2.3858) Prec@1 48.047 (45.891) Prec@5 71.094 (71.311)
Epoch: [46][760/5005] Time 0.215 (0.214) Data 0.043 (0.049) Loss 2.3727 (2.3859) Prec@1 44.531 (45.882) Prec@5 72.266 (71.314)
Epoch: [46][770/5005] Time 0.214 (0.214) Data 0.043 (0.049) Loss 2.3528 (2.3848) Prec@1 45.312 (45.919) Prec@5 70.703 (71.333)
Epoch: [46][780/5005] Time 0.211 (0.214) Data 0.045 (0.048) Loss 2.3874 (2.3849) Prec@1 47.656 (45.920) Prec@5 68.750 (71.325)
Epoch: [46][790/5005] Time 0.216 (0.214) Data 0.051 (0.048) Loss 2.4612 (2.3851) Prec@1 45.312 (45.929) Prec@5 69.531 (71.325)
Epoch: [46][800/5005] Time 0.206 (0.214) Data 0.049 (0.049) Loss 2.3792 (2.3844) Prec@1 46.875 (45.937) Prec@5 70.703 (71.333)
Epoch: [46][810/5005] Time 0.210 (0.214) Data 0.050 (0.048) Loss 2.4338 (2.3849) Prec@1 41.406 (45.917) Prec@5 69.922 (71.327)
Epoch: [46][820/5005] Time 0.212 (0.214) Data 0.045 (0.049) Loss 2.4776 (2.3851) Prec@1 44.141 (45.918) Prec@5 71.094 (71.324)
Epoch: [46][830/5005] Time 0.215 (0.214) Data 0.045 (0.049) Loss 2.3026 (2.3852) Prec@1 45.312 (45.918) Prec@5 72.656 (71.328)
Epoch: [46][840/5005] Time 0.208 (0.214) Data 0.040 (0.048) Loss 2.3292 (2.3858) Prec@1 51.172 (45.913) Prec@5 72.266 (71.330)
Epoch: [46][850/5005] Time 0.207 (0.214) Data 0.051 (0.048) Loss 2.7432 (2.3859) Prec@1 37.500 (45.906) Prec@5 66.797 (71.327)
Epoch: [46][860/5005] Time 0.217 (0.214) Data 0.050 (0.048) Loss 2.4863 (2.3861) Prec@1 43.359 (45.910) Prec@5 67.969 (71.312)
Epoch: [46][870/5005] Time 0.214 (0.214) Data 0.040 (0.048) Loss 2.3723 (2.3851) Prec@1 44.531 (45.922) Prec@5 71.094 (71.326)
Epoch: [46][880/5005] Time 0.204 (0.214) Data 0.052 (0.049) Loss 2.2978 (2.3857) Prec@1 49.219 (45.913) Prec@5 71.094 (71.311)
Epoch: [46][890/5005] Time 0.213 (0.214) Data 0.045 (0.049) Loss 2.6774 (2.3851) Prec@1 39.453 (45.914) Prec@5 66.797 (71.319)
Epoch: [46][900/5005] Time 0.214 (0.214) Data 0.043 (0.049) Loss 2.4449 (2.3847) Prec@1 41.797 (45.912) Prec@5 70.312 (71.320)
Epoch: [46][910/5005] Time 0.211 (0.214) Data 0.043 (0.048) Loss 2.3728 (2.3850) Prec@1 44.531 (45.902) Prec@5 70.703 (71.309)
Epoch: [46][920/5005] Time 0.219 (0.214) Data 0.044 (0.048) Loss 2.4166 (2.3842) Prec@1 43.359 (45.918) Prec@5 75.781 (71.329)
Epoch: [46][930/5005] Time 0.217 (0.213) Data 0.048 (0.048) Loss 2.4848 (2.3840) Prec@1 45.703 (45.926) Prec@5 66.406 (71.324)
Epoch: [46][940/5005] Time 0.210 (0.213) Data 0.051 (0.048) Loss 2.1889 (2.3844) Prec@1 49.219 (45.921) Prec@5 74.609 (71.320)
Epoch: [46][950/5005] Time 0.207 (0.213) Data 0.060 (0.049) Loss 2.4511 (2.3848) Prec@1 49.219 (45.925) Prec@5 73.438 (71.315)
Epoch: [46][960/5005] Time 0.213 (0.213) Data 0.040 (0.048) Loss 2.6110 (2.3851) Prec@1 42.188 (45.928) Prec@5 65.234 (71.306)
Epoch: [46][970/5005] Time 0.213 (0.213) Data 0.046 (0.048) Loss 2.1690 (2.3852) Prec@1 51.172 (45.927) Prec@5 75.781 (71.310)
Epoch: [46][980/5005] Time 0.208 (0.213) Data 0.051 (0.048) Loss 2.2053 (2.3846) Prec@1 49.609 (45.927) Prec@5 73.047 (71.322)
Epoch: [46][990/5005] Time 0.213 (0.213) Data 0.048 (0.049) Loss 2.4024 (2.3850) Prec@1 44.922 (45.919) Prec@5 72.656 (71.322)
Epoch: [46][1000/5005] Time 0.205 (0.213) Data 0.062 (0.049) Loss 2.2920 (2.3847) Prec@1 46.484 (45.932) Prec@5 75.781 (71.324)
Epoch: [46][1010/5005] Time 0.220 (0.213) Data 0.046 (0.049) Loss 2.3809 (2.3845) Prec@1 46.484 (45.928) Prec@5 73.438 (71.338)
Epoch: [46][1020/5005] Time 0.208 (0.213) Data 0.042 (0.049) Loss 2.2619 (2.3852) Prec@1 48.047 (45.918) Prec@5 73.828 (71.319)
Epoch: [46][1030/5005] Time 0.203 (0.213) Data 0.042 (0.049) Loss 2.3523 (2.3846) Prec@1 47.656 (45.923) Prec@5 72.266 (71.329)
Epoch: [46][1040/5005] Time 0.211 (0.213) Data 0.041 (0.049) Loss 2.4505 (2.3850) Prec@1 42.578 (45.918) Prec@5 73.047 (71.323)
Epoch: [46][1050/5005] Time 0.219 (0.213) Data 0.041 (0.049) Loss 2.4944 (2.3855) Prec@1 40.625 (45.915) Prec@5 69.531 (71.316)
Epoch: [46][1060/5005] Time 0.215 (0.213) Data 0.042 (0.049) Loss 2.4099 (2.3856) Prec@1 46.875 (45.924) Prec@5 72.266 (71.312)
Epoch: [46][1070/5005] Time 0.219 (0.213) Data 0.043 (0.049) Loss 2.3498 (2.3861) Prec@1 46.484 (45.908) Prec@5 72.656 (71.307)
Epoch: [46][1080/5005] Time 0.207 (0.213) Data 0.041 (0.048) Loss 2.4606 (2.3866) Prec@1 41.406 (45.891) Prec@5 67.969 (71.295)
Epoch: [46][1090/5005] Time 0.216 (0.213) Data 0.043 (0.048) Loss 2.2827 (2.3860) Prec@1 46.094 (45.895) Prec@5 75.000 (71.312)
Epoch: [46][1100/5005] Time 0.213 (0.213) Data 0.043 (0.048) Loss 2.2583 (2.3856) Prec@1 45.703 (45.905) Prec@5 73.828 (71.312)
Epoch: [46][1110/5005] Time 0.218 (0.213) Data 0.043 (0.048) Loss 2.3423 (2.3854) Prec@1 46.484 (45.914) Prec@5 71.875 (71.313)
Epoch: [46][1120/5005] Time 0.213 (0.213) Data 0.044 (0.048) Loss 2.3798 (2.3847) Prec@1 46.094 (45.922) Prec@5 69.141 (71.328)
Epoch: [46][1130/5005] Time 0.208 (0.213) Data 0.047 (0.048) Loss 2.4611 (2.3845) Prec@1 43.750 (45.926) Prec@5 69.531 (71.326)
Epoch: [46][1140/5005] Time 0.217 (0.213) Data 0.043 (0.048) Loss 2.4949 (2.3843) Prec@1 44.922 (45.934) Prec@5 69.141 (71.328)
Epoch: [46][1150/5005] Time 0.211 (0.213) Data 0.044 (0.048) Loss 2.3934 (2.3836) Prec@1 42.578 (45.949) Prec@5 73.828 (71.349)
Epoch: [46][1160/5005] Time 0.213 (0.213) Data 0.044 (0.048) Loss 2.4100 (2.3835) Prec@1 48.828 (45.958) Prec@5 71.484 (71.351)
Epoch: [46][1170/5005] Time 0.204 (0.213) Data 0.042 (0.048) Loss 2.4219 (2.3836) Prec@1 44.922 (45.947) Prec@5 72.266 (71.347)
Epoch: [46][1180/5005] Time 0.209 (0.213) Data 0.058 (0.048) Loss 2.4576 (2.3837) Prec@1 43.359 (45.934) Prec@5 69.531 (71.347)
Epoch: [46][1190/5005] Time 0.201 (0.213) Data 0.049 (0.048) Loss 2.1695 (2.3833) Prec@1 45.312 (45.946) Prec@5 71.875 (71.353)
Epoch: [46][1200/5005] Time 0.216 (0.213) Data 0.042 (0.048) Loss 2.4779 (2.3830) Prec@1 46.484 (45.946) Prec@5 71.484 (71.353)
Epoch: [46][1210/5005] Time 0.211 (0.213) Data 0.046 (0.048) Loss 2.4009 (2.3834) Prec@1 42.578 (45.944) Prec@5 71.094 (71.348)
Epoch: [46][1220/5005] Time 0.203 (0.213) Data 0.059 (0.048) Loss 2.3692 (2.3838) Prec@1 42.969 (45.942) Prec@5 72.656 (71.343)
Epoch: [46][1230/5005] Time 0.214 (0.213) Data 0.041 (0.048) Loss 2.4779 (2.3838) Prec@1 42.578 (45.933) Prec@5 74.219 (71.344)
Epoch: [46][1240/5005] Time 0.213 (0.213) Data 0.043 (0.048) Loss 2.3664 (2.3841) Prec@1 45.312 (45.930) Prec@5 71.484 (71.332)
Epoch: [46][1250/5005] Time 0.213 (0.213) Data 0.044 (0.048) Loss 2.4664 (2.3843) Prec@1 41.797 (45.920) Prec@5 68.750 (71.324)
Epoch: [46][1260/5005] Time 0.200 (0.213) Data 0.042 (0.048) Loss 2.1416 (2.3838) Prec@1 49.219 (45.923) Prec@5 75.781 (71.334)
Epoch: [46][1270/5005] Time 0.210 (0.213) Data 0.044 (0.048) Loss 2.4537 (2.3847) Prec@1 46.094 (45.913) Prec@5 70.312 (71.320)
Epoch: [46][1280/5005] Time 0.209 (0.213) Data 0.043 (0.048) Loss 2.3247 (2.3849) Prec@1 44.141 (45.909) Prec@5 72.266 (71.313)
Epoch: [46][1290/5005] Time 0.209 (0.213) Data 0.042 (0.048) Loss 2.0698 (2.3846) Prec@1 51.562 (45.916) Prec@5 75.391 (71.314)
Epoch: [46][1300/5005] Time 0.212 (0.213) Data 0.041 (0.048) Loss 2.3174 (2.3842) Prec@1 50.000 (45.928) Prec@5 72.656 (71.320)
Epoch: [46][1310/5005] Time 0.204 (0.213) Data 0.039 (0.048) Loss 2.3214 (2.3840) Prec@1 48.828 (45.933) Prec@5 73.438 (71.330)
Epoch: [46][1320/5005] Time 0.208 (0.213) Data 0.044 (0.048) Loss 2.4544 (2.3838) Prec@1 45.312 (45.939) Prec@5 73.438 (71.334)
Epoch: [46][1330/5005] Time 0.211 (0.213) Data 0.046 (0.048) Loss 2.6075 (2.3844) Prec@1 41.406 (45.925) Prec@5 69.922 (71.330)
Epoch: [46][1340/5005] Time 0.206 (0.213) Data 0.045 (0.048) Loss 2.3844 (2.3843) Prec@1 45.703 (45.923) Prec@5 70.703 (71.327)
Epoch: [46][1350/5005] Time 0.202 (0.213) Data 0.047 (0.048) Loss 2.7174 (2.3845) Prec@1 40.625 (45.910) Prec@5 64.453 (71.318)
Epoch: [46][1360/5005] Time 0.207 (0.213) Data 0.043 (0.048) Loss 2.2778 (2.3842) Prec@1 47.656 (45.913) Prec@5 73.047 (71.325)
Epoch: [46][1370/5005] Time 0.201 (0.213) Data 0.046 (0.048) Loss 2.3430 (2.3840) Prec@1 48.828 (45.920) Prec@5 75.000 (71.329)
Epoch: [46][1380/5005] Time 0.205 (0.213) Data 0.047 (0.048) Loss 2.5100 (2.3839) Prec@1 46.094 (45.923) Prec@5 68.359 (71.332)
Epoch: [46][1390/5005] Time 0.199 (0.213) Data 0.053 (0.048) Loss 2.2657 (2.3837) Prec@1 48.828 (45.929) Prec@5 71.875 (71.329)
Epoch: [46][1400/5005] Time 0.212 (0.213) Data 0.042 (0.048) Loss 2.3895 (2.3829) Prec@1 50.000 (45.949) Prec@5 71.094 (71.340)
Epoch: [46][1410/5005] Time 0.222 (0.213) Data 0.040 (0.048) Loss 2.3575 (2.3827) Prec@1 45.703 (45.956) Prec@5 71.875 (71.355)
Epoch: [46][1420/5005] Time 0.217 (0.213) Data 0.046 (0.048) Loss 2.6652 (2.3829) Prec@1 41.406 (45.958) Prec@5 66.016 (71.350)
Epoch: [46][1430/5005] Time 0.206 (0.213) Data 0.058 (0.048) Loss 2.1202 (2.3827) Prec@1 51.562 (45.960) Prec@5 73.438 (71.353)
Epoch: [46][1440/5005] Time 0.192 (0.212) Data 0.049 (0.048) Loss 2.2142 (2.3825) Prec@1 44.141 (45.957) Prec@5 77.344 (71.358)
Epoch: [46][1450/5005] Time 0.212 (0.212) Data 0.057 (0.048) Loss 2.3650 (2.3821) Prec@1 46.094 (45.959) Prec@5 71.094 (71.361)
Epoch: [46][1460/5005] Time 0.211 (0.212) Data 0.048 (0.048) Loss 2.3412 (2.3820) Prec@1 44.141 (45.962) Prec@5 70.312 (71.364)
Epoch: [46][1470/5005] Time 0.212 (0.212) Data 0.041 (0.048) Loss 2.3563 (2.3821) Prec@1 46.094 (45.966) Prec@5 72.656 (71.362)
Epoch: [46][1480/5005] Time 0.209 (0.212) Data 0.053 (0.048) Loss 2.1106 (2.3823) Prec@1 52.344 (45.967) Prec@5 76.953 (71.359)
Epoch: [46][1490/5005] Time 0.214 (0.212) Data 0.047 (0.048) Loss 2.6017 (2.3822) Prec@1 43.750 (45.973) Prec@5 66.797 (71.360)
Epoch: [46][1500/5005] Time 0.211 (0.212) Data 0.057 (0.048) Loss 2.4371 (2.3823) Prec@1 48.438 (45.972) Prec@5 70.703 (71.363)
Epoch: [46][1510/5005] Time 0.205 (0.212) Data 0.053 (0.048) Loss 2.3392 (2.3824) Prec@1 46.094 (45.963) Prec@5 72.656 (71.360)
Epoch: [46][1520/5005] Time 0.208 (0.212) Data 0.045 (0.048) Loss 2.4369 (2.3821) Prec@1 46.094 (45.973) Prec@5 72.656 (71.365)
Epoch: [46][1530/5005] Time 0.211 (0.212) Data 0.047 (0.048) Loss 2.5203 (2.3820) Prec@1 43.750 (45.979) Prec@5 69.922 (71.368)
Epoch: [46][1540/5005] Time 0.218 (0.212) Data 0.043 (0.048) Loss 2.5464 (2.3823) Prec@1 43.359 (45.972) Prec@5 66.406 (71.368)
Epoch: [46][1550/5005] Time 0.213 (0.212) Data 0.043 (0.048) Loss 2.4148 (2.3821) Prec@1 46.094 (45.978) Prec@5 70.703 (71.371)
Epoch: [46][1560/5005] Time 0.212 (0.212) Data 0.046 (0.048) Loss 2.2203 (2.3822) Prec@1 50.000 (45.974) Prec@5 73.438 (71.375)
Epoch: [46][1570/5005] Time 0.210 (0.212) Data 0.043 (0.048) Loss 2.2531 (2.3819) Prec@1 44.531 (45.981) Prec@5 74.609 (71.380)
Epoch: [46][1580/5005] Time 0.207 (0.212) Data 0.043 (0.048) Loss 2.2948 (2.3823) Prec@1 46.875 (45.976) Prec@5 73.828 (71.374)
Epoch: [46][1590/5005] Time 0.202 (0.212) Data 0.046 (0.048) Loss 2.3030 (2.3823) Prec@1 48.438 (45.974) Prec@5 71.875 (71.371)
Epoch: [46][1600/5005] Time 0.205 (0.212) Data 0.043 (0.048) Loss 2.4298 (2.3827) Prec@1 45.703 (45.967) Prec@5 70.312 (71.365)
Epoch: [46][1610/5005] Time 0.213 (0.212) Data 0.041 (0.048) Loss 2.5150 (2.3828) Prec@1 48.047 (45.968) Prec@5 68.359 (71.368)
Epoch: [46][1620/5005] Time 0.206 (0.212) Data 0.042 (0.048) Loss 2.6330 (2.3826) Prec@1 41.016 (45.968) Prec@5 68.750 (71.372)
Epoch: [46][1630/5005] Time 0.212 (0.212) Data 0.043 (0.048) Loss 2.3255 (2.3825) Prec@1 47.656 (45.975) Prec@5 74.219 (71.372)
Epoch: [46][1640/5005] Time 0.203 (0.212) Data 0.057 (0.048) Loss 2.3582 (2.3829) Prec@1 50.391 (45.975) Prec@5 71.094 (71.369)
Epoch: [46][1650/5005] Time 0.212 (0.212) Data 0.043 (0.048) Loss 2.3201 (2.3830) Prec@1 49.219 (45.980) Prec@5 70.703 (71.364)
Epoch: [46][1660/5005] Time 0.209 (0.212) Data 0.042 (0.048) Loss 2.3399 (2.3824) Prec@1 50.391 (45.995) Prec@5 76.172 (71.377)
Epoch: [46][1670/5005] Time 0.201 (0.212) Data 0.045 (0.048) Loss 2.1946 (2.3824) Prec@1 50.781 (45.999) Prec@5 72.266 (71.381)
Epoch: [46][1680/5005] Time 0.209 (0.212) Data 0.045 (0.048) Loss 2.4598 (2.3827) Prec@1 44.922 (45.996) Prec@5 69.922 (71.374)
Epoch: [46][1690/5005] Time 0.211 (0.212) Data 0.046 (0.048) Loss 2.3013 (2.3822) Prec@1 49.219 (46.005) Prec@5 72.266 (71.381)
Epoch: [46][1700/5005] Time 0.209 (0.212) Data 0.056 (0.048) Loss 2.4601 (2.3817) Prec@1 43.750 (46.016) Prec@5 71.484 (71.386)
Epoch: [46][1710/5005] Time 0.213 (0.212) Data 0.040 (0.048) Loss 2.2135 (2.3815) Prec@1 49.219 (46.020) Prec@5 73.438 (71.388)
Epoch: [46][1720/5005] Time 0.210 (0.212) Data 0.045 (0.048) Loss 2.3294 (2.3812) Prec@1 45.312 (46.020) Prec@5 73.047 (71.394)
Epoch: [46][1730/5005] Time 0.208 (0.212) Data 0.050 (0.048) Loss 2.4037 (2.3814) Prec@1 43.750 (46.015) Prec@5 73.828 (71.396)
Epoch: [46][1740/5005] Time 0.211 (0.212) Data 0.045 (0.048) Loss 2.6631 (2.3812) Prec@1 37.500 (46.013) Prec@5 66.406 (71.404)
Epoch: [46][1750/5005] Time 0.198 (0.212) Data 0.046 (0.048) Loss 2.4363 (2.3809) Prec@1 41.406 (46.012) Prec@5 71.094 (71.408)
Epoch: [46][1760/5005] Time 0.206 (0.212) Data 0.047 (0.048) Loss 2.0739 (2.3805) Prec@1 49.219 (46.014) Prec@5 77.344 (71.411)
Epoch: [46][1770/5005] Time 0.215 (0.212) Data 0.047 (0.048) Loss 2.5373 (2.3804) Prec@1 37.500 (46.013) Prec@5 68.750 (71.415)
Epoch: [46][1780/5005] Time 0.201 (0.212) Data 0.046 (0.048) Loss 2.2619 (2.3805) Prec@1 48.438 (46.009) Prec@5 74.219 (71.417)
Epoch: [46][1790/5005] Time 0.209 (0.212) Data 0.048 (0.048) Loss 2.2819 (2.3802) Prec@1 50.781 (46.015) Prec@5 73.047 (71.425)
Epoch: [46][1800/5005] Time 0.208 (0.212) Data 0.049 (0.048) Loss 2.3276 (2.3802) Prec@1 47.266 (46.024) Prec@5 73.438 (71.425)
Epoch: [46][1810/5005] Time 0.198 (0.212) Data 0.047 (0.048) Loss 2.2502 (2.3798) Prec@1 48.438 (46.035) Prec@5 73.047 (71.432)
Epoch: [46][1820/5005] Time 0.211 (0.212) Data 0.047 (0.048) Loss 2.3948 (2.3796) Prec@1 42.969 (46.035) Prec@5 73.828 (71.438)
Epoch: [46][1830/5005] Time 0.213 (0.212) Data 0.046 (0.048) Loss 2.1474 (2.3793) Prec@1 48.828 (46.040) Prec@5 76.953 (71.440)
Epoch: [46][1840/5005] Time 0.218 (0.212) Data 0.044 (0.048) Loss 2.3368 (2.3791) Prec@1 47.266 (46.042) Prec@5 73.828 (71.444)
Epoch: [46][1850/5005] Time 0.207 (0.212) Data 0.045 (0.048) Loss 2.4499 (2.3788) Prec@1 46.875 (46.053) Prec@5 71.484 (71.447)
Epoch: [46][1860/5005] Time 0.214 (0.212) Data 0.042 (0.048) Loss 2.2570 (2.3786) Prec@1 50.781 (46.057) Prec@5 72.266 (71.450)
Epoch: [46][1870/5005] Time 0.205 (0.212) Data 0.045 (0.048) Loss 2.5897 (2.3789) Prec@1 38.281 (46.049) Prec@5 71.484 (71.448)
Epoch: [46][1880/5005] Time 0.201 (0.212) Data 0.058 (0.048) Loss 2.4294 (2.3792) Prec@1 45.312 (46.046) Prec@5 69.141 (71.447)
Epoch: [46][1890/5005] Time 0.207 (0.212) Data 0.041 (0.048) Loss 2.4265 (2.3790) Prec@1 44.922 (46.049) Prec@5 73.047 (71.449)
Epoch: [46][1900/5005] Time 0.218 (0.212) Data 0.042 (0.048) Loss 2.4824 (2.3795) Prec@1 43.750 (46.040) Prec@5 69.922 (71.441)
Epoch: [46][1910/5005] Time 0.207 (0.212) Data 0.042 (0.048) Loss 2.3839 (2.3795) Prec@1 46.094 (46.037) Prec@5 71.094 (71.434)
Epoch: [46][1920/5005] Time 0.203 (0.212) Data 0.047 (0.048) Loss 2.2417 (2.3792) Prec@1 45.312 (46.034) Prec@5 73.828 (71.438)
Epoch: [46][1930/5005] Time 0.208 (0.212) Data 0.061 (0.048) Loss 2.3361 (2.3792) Prec@1 50.000 (46.033) Prec@5 71.484 (71.436)
Epoch: [46][1940/5005] Time 0.221 (0.212) Data 0.042 (0.048) Loss 2.3037 (2.3791) Prec@1 44.141 (46.031) Prec@5 71.484 (71.441)
Epoch: [46][1950/5005] Time 0.212 (0.212) Data 0.046 (0.048) Loss 2.3310 (2.3788) Prec@1 44.922 (46.032) Prec@5 73.828 (71.447)
Epoch: [46][1960/5005] Time 0.212 (0.212) Data 0.051 (0.048) Loss 2.3953 (2.3787) Prec@1 45.703 (46.033) Prec@5 74.609 (71.453)
Epoch: [46][1970/5005] Time 0.207 (0.212) Data 0.046 (0.048) Loss 2.3114 (2.3787) Prec@1 48.828 (46.035) Prec@5 72.266 (71.450)
Epoch: [46][1980/5005] Time 0.201 (0.212) Data 0.049 (0.048) Loss 2.2321 (2.3786) Prec@1 48.047 (46.035) Prec@5 71.875 (71.456)
Epoch: [46][1990/5005] Time 0.207 (0.212) Data 0.042 (0.048) Loss 2.1206 (2.3784) Prec@1 49.609 (46.044) Prec@5 76.562 (71.460)
Epoch: [46][2000/5005] Time 0.189 (0.212) Data 0.067 (0.048) Loss 2.2721 (2.3787) Prec@1 50.000 (46.043) Prec@5 72.266 (71.455)
Epoch: [46][2010/5005] Time 0.199 (0.212) Data 0.057 (0.048) Loss 2.2714 (2.3788) Prec@1 48.047 (46.039) Prec@5 72.266 (71.451)
Epoch: [46][2020/5005] Time 0.211 (0.212) Data 0.043 (0.048) Loss 2.4031 (2.3790) Prec@1 46.094 (46.033) Prec@5 70.703 (71.445)
Epoch: [46][2030/5005] Time 0.202 (0.212) Data 0.044 (0.048) Loss 2.3748 (2.3790) Prec@1 41.016 (46.039) Prec@5 72.656 (71.446)
Epoch: [46][2040/5005] Time 0.204 (0.211) Data 0.042 (0.048) Loss 2.1683 (2.3787) Prec@1 48.828 (46.045) Prec@5 75.391 (71.451)
Epoch: [46][2050/5005] Time 0.208 (0.211) Data 0.051 (0.048) Loss 2.4493 (2.3786) Prec@1 45.703 (46.045) Prec@5 67.578 (71.452)
Epoch: [46][2060/5005] Time 0.217 (0.211) Data 0.046 (0.048) Loss 2.3258 (2.3786) Prec@1 46.094 (46.045) Prec@5 73.047 (71.449)
Epoch: [46][2070/5005] Time 0.218 (0.211) Data 0.042 (0.048) Loss 2.6198 (2.3790) Prec@1 43.359 (46.038) Prec@5 66.406 (71.438)
Epoch: [46][2080/5005] Time 0.216 (0.211) Data 0.045 (0.048) Loss 2.4528 (2.3791) Prec@1 44.922 (46.036) Prec@5 71.094 (71.439)
Epoch: [46][2090/5005] Time 0.207 (0.211) Data 0.047 (0.048) Loss 2.1354 (2.3786) Prec@1 49.219 (46.046) Prec@5 76.953 (71.446)
Epoch: [46][2100/5005] Time 0.211 (0.211) Data 0.056 (0.048) Loss 2.5314 (2.3785) Prec@1 44.531 (46.050) Prec@5 67.578 (71.443)
Epoch: [46][2110/5005] Time 0.207 (0.211) Data 0.043 (0.048) Loss 2.2370 (2.3784) Prec@1 45.312 (46.055) Prec@5 75.000 (71.446)
Epoch: [46][2120/5005] Time 0.206 (0.211) Data 0.049 (0.048) Loss 2.5352 (2.3782) Prec@1 45.312 (46.059) Prec@5 70.312 (71.451)
Epoch: [46][2130/5005] Time 0.210 (0.211) Data 0.043 (0.048) Loss 2.3464 (2.3779) Prec@1 43.359 (46.064) Prec@5 72.656 (71.459)
Epoch: [46][2140/5005] Time 0.203 (0.211) Data 0.041 (0.048) Loss 2.1597 (2.3778) Prec@1 50.000 (46.067) Prec@5 77.344 (71.459)
Epoch: [46][2150/5005] Time 0.205 (0.211) Data 0.047 (0.048) Loss 2.1681 (2.3780) Prec@1 51.953 (46.065) Prec@5 72.266 (71.455)
Epoch: [46][2160/5005] Time 0.202 (0.211) Data 0.043 (0.048) Loss 2.3397 (2.3778) Prec@1 46.484 (46.069) Prec@5 70.312 (71.454)
Epoch: [46][2170/5005] Time 0.206 (0.211) Data 0.055 (0.048) Loss 2.1944 (2.3774) Prec@1 48.828 (46.074) Prec@5 75.781 (71.464)
Epoch: [46][2180/5005] Time 0.216 (0.211) Data 0.044 (0.048) Loss 2.4023 (2.3774) Prec@1 46.484 (46.071) Prec@5 72.656 (71.465)
Epoch: [46][2190/5005] Time 0.207 (0.211) Data 0.046 (0.048) Loss 2.5847 (2.3774) Prec@1 41.406 (46.071) Prec@5 64.062 (71.467)
Epoch: [46][2200/5005] Time 0.208 (0.211) Data 0.041 (0.048) Loss 2.3015 (2.3774) Prec@1 48.438 (46.070) Prec@5 69.531 (71.466)
Epoch: [46][2210/5005] Time 0.208 (0.211) Data 0.042 (0.048) Loss 2.4617 (2.3777) Prec@1 40.234 (46.063) Prec@5 67.578 (71.459)
Epoch: [46][2220/5005] Time 0.207 (0.211) Data 0.043 (0.048) Loss 2.4597 (2.3774) Prec@1 47.266 (46.068) Prec@5 68.359 (71.463)
Epoch: [46][2230/5005] Time 0.212 (0.211) Data 0.043 (0.048) Loss 2.2750 (2.3775) Prec@1 49.219 (46.064) Prec@5 74.219 (71.461)
Epoch: [46][2240/5005] Time 0.213 (0.211) Data 0.044 (0.048) Loss 2.3542 (2.3776) Prec@1 47.266 (46.063) Prec@5 73.438 (71.458)
Epoch: [46][2250/5005] Time 0.212 (0.211) Data 0.044 (0.048) Loss 2.1385 (2.3775) Prec@1 50.391 (46.062) Prec@5 73.438 (71.455)
Epoch: [46][2260/5005] Time 0.213 (0.211) Data 0.041 (0.048) Loss 2.3869 (2.3773) Prec@1 42.578 (46.066) Prec@5 68.750 (71.455)
Epoch: [46][2270/5005] Time 0.200 (0.211) Data 0.048 (0.048) Loss 2.6307 (2.3772) Prec@1 47.656 (46.073) Prec@5 66.406 (71.459)
Epoch: [46][2280/5005] Time 0.196 (0.211) Data 0.046 (0.048) Loss 2.4601 (2.3772) Prec@1 46.484 (46.073) Prec@5 69.531 (71.461)
Epoch: [46][2290/5005] Time 0.201 (0.211) Data 0.063 (0.048) Loss 2.2309 (2.3771) Prec@1 48.828 (46.077) Prec@5 73.047 (71.459)
Epoch: [46][2300/5005] Time 0.210 (0.211) Data 0.042 (0.048) Loss 2.3209 (2.3772) Prec@1 44.531 (46.076) Prec@5 71.875 (71.459)
Epoch: [46][2310/5005] Time 0.208 (0.211) Data 0.048 (0.048) Loss 2.2692 (2.3770) Prec@1 48.438 (46.080) Prec@5 69.141 (71.459)
Epoch: [46][2320/5005] Time 0.213 (0.211) Data 0.047 (0.048) Loss 2.4583 (2.3771) Prec@1 45.703 (46.079) Prec@5 71.094 (71.458)
Epoch: [46][2330/5005] Time 0.209 (0.211) Data 0.043 (0.048) Loss 2.2833 (2.3768) Prec@1 49.219 (46.082) Prec@5 74.219 (71.466)
Epoch: [46][2340/5005] Time 0.206 (0.211) Data 0.046 (0.048) Loss 2.3579 (2.3764) Prec@1 48.828 (46.088) Prec@5 71.875 (71.473)
Epoch: [46][2350/5005] Time 0.203 (0.211) Data 0.047 (0.048) Loss 2.3407 (2.3764) Prec@1 48.828 (46.088) Prec@5 69.531 (71.473)
Epoch: [46][2360/5005] Time 0.212 (0.211) Data 0.042 (0.048) Loss 2.3137 (2.3764) Prec@1 49.609 (46.091) Prec@5 74.219 (71.474)
Epoch: [46][2370/5005] Time 0.203 (0.211) Data 0.047 (0.047) Loss 2.4687 (2.3765) Prec@1 43.359 (46.091) Prec@5 70.703 (71.474)
Epoch: [46][2380/5005] Time 0.204 (0.211) Data 0.056 (0.048) Loss 2.3044 (2.3765) Prec@1 49.219 (46.092) Prec@5 73.438 (71.477)
Epoch: [46][2390/5005] Time 0.207 (0.211) Data 0.044 (0.048) Loss 2.4278 (2.3764) Prec@1 44.531 (46.096) Prec@5 71.484 (71.480)
Epoch: [46][2400/5005] Time 0.210 (0.211) Data 0.046 (0.048) Loss 2.3030 (2.3762) Prec@1 47.266 (46.099) Prec@5 73.438 (71.485)
Epoch: [46][2410/5005] Time 0.207 (0.211) Data 0.047 (0.048) Loss 2.5891 (2.3763) Prec@1 40.234 (46.094) Prec@5 67.969 (71.485)
Epoch: [46][2420/5005] Time 0.215 (0.211) Data 0.043 (0.048) Loss 2.2711 (2.3761) Prec@1 46.875 (46.100) Prec@5 71.484 (71.492)
Epoch: [46][2430/5005] Time 0.207 (0.211) Data 0.046 (0.048) Loss 2.3656 (2.3761) Prec@1 44.531 (46.096) Prec@5 69.922 (71.487)
Epoch: [46][2440/5005] Time 0.207 (0.211) Data 0.050 (0.048) Loss 2.1255 (2.3760) Prec@1 51.172 (46.100) Prec@5 74.609 (71.485)
Epoch: [46][2450/5005] Time 0.206 (0.211) Data 0.046 (0.048) Loss 2.2628 (2.3758) Prec@1 48.828 (46.105) Prec@5 73.047 (71.488)
Epoch: [46][2460/5005] Time 0.218 (0.211) Data 0.057 (0.048) Loss 2.2839 (2.3756) Prec@1 48.438 (46.112) Prec@5 73.047 (71.488)
Epoch: [46][2470/5005] Time 0.201 (0.211) Data 0.045 (0.048) Loss 2.1799 (2.3754) Prec@1 50.000 (46.115) Prec@5 72.656 (71.494)
Epoch: [46][2480/5005] Time 0.208 (0.211) Data 0.062 (0.048) Loss 2.5263 (2.3757) Prec@1 42.188 (46.111) Prec@5 69.531 (71.493)
Epoch: [46][2490/5005] Time 0.197 (0.211) Data 0.060 (0.048) Loss 2.2249 (2.3757) Prec@1 49.219 (46.110) Prec@5 73.047 (71.495)
Epoch: [46][2500/5005] Time 0.206 (0.211) Data 0.047 (0.048) Loss 2.4801 (2.3757) Prec@1 45.312 (46.111) Prec@5 67.188 (71.495)
Epoch: [46][2510/5005] Time 0.210 (0.211) Data 0.040 (0.048) Loss 2.4948 (2.3758) Prec@1 43.359 (46.106) Prec@5 71.875 (71.490)
Epoch: [46][2520/5005] Time 0.217 (0.211) Data 0.041 (0.048) Loss 2.4107 (2.3757) Prec@1 48.047 (46.110) Prec@5 68.359 (71.490)
Epoch: [46][2530/5005] Time 0.207 (0.211) Data 0.042 (0.048) Loss 2.6529 (2.3759) Prec@1 41.797 (46.110) Prec@5 68.359 (71.486)
Epoch: [46][2540/5005] Time 0.214 (0.211) Data 0.042 (0.048) Loss 2.3323 (2.3757) Prec@1 44.531 (46.114) Prec@5 71.094 (71.487)
Epoch: [46][2550/5005] Time 0.211 (0.211) Data 0.052 (0.048) Loss 2.3027 (2.3757) Prec@1 43.750 (46.116) Prec@5 74.219 (71.490)
Epoch: [46][2560/5005] Time 0.204 (0.211) Data 0.050 (0.048) Loss 2.4878 (2.3757) Prec@1 42.969 (46.119) Prec@5 67.188 (71.488)
Epoch: [46][2570/5005] Time 0.210 (0.211) Data 0.040 (0.048) Loss 2.3360 (2.3758) Prec@1 42.578 (46.114) Prec@5 75.000 (71.486)
Epoch: [46][2580/5005] Time 0.199 (0.211) Data 0.044 (0.048) Loss 2.4541 (2.3762) Prec@1 50.781 (46.107) Prec@5 71.094 (71.480)
Epoch: [46][2590/5005] Time 0.209 (0.211) Data 0.046 (0.048) Loss 2.5029 (2.3761) Prec@1 47.266 (46.113) Prec@5 67.969 (71.481)
Epoch: [46][2600/5005] Time 0.212 (0.211) Data 0.041 (0.048) Loss 2.3118 (2.3763) Prec@1 50.781 (46.112) Prec@5 73.047 (71.477)
Epoch: [46][2610/5005] Time 0.209 (0.211) Data 0.050 (0.048) Loss 2.4206 (2.3760) Prec@1 46.875 (46.118) Prec@5 69.531 (71.481)
Epoch: [46][2620/5005] Time 0.200 (0.211) Data 0.047 (0.048) Loss 2.2961 (2.3759) Prec@1 46.875 (46.119) Prec@5 73.047 (71.484)
Epoch: [46][2630/5005] Time 0.198 (0.211) Data 0.056 (0.048) Loss 2.5199 (2.3762) Prec@1 41.797 (46.115) Prec@5 71.484 (71.477)
Epoch: [46][2640/5005] Time 0.207 (0.211) Data 0.041 (0.048) Loss 2.5968 (2.3763) Prec@1 39.844 (46.111) Prec@5 65.625 (71.478)
Epoch: [46][2650/5005] Time 0.200 (0.211) Data 0.047 (0.048) Loss 2.5301 (2.3763) Prec@1 46.094 (46.110) Prec@5 69.141 (71.478)
Epoch: [46][2660/5005] Time 0.209 (0.211) Data 0.045 (0.048) Loss 2.4596 (2.3764) Prec@1 44.531 (46.109) Prec@5 69.141 (71.471)
Epoch: [46][2670/5005] Time 0.211 (0.211) Data 0.055 (0.048) Loss 2.0621 (2.3761) Prec@1 50.781 (46.119) Prec@5 75.000 (71.474)
Epoch: [46][2680/5005] Time 0.211 (0.211) Data 0.045 (0.048) Loss 2.1960 (2.3760) Prec@1 50.781 (46.120) Prec@5 72.266 (71.472)
Epoch: [46][2690/5005] Time 0.209 (0.211) Data 0.044 (0.048) Loss 2.2287 (2.3758) Prec@1 49.219 (46.122) Prec@5 74.219 (71.473)
Epoch: [46][2700/5005] Time 0.190 (0.211) Data 0.046 (0.048) Loss 2.3506 (2.3758) Prec@1 44.922 (46.120) Prec@5 72.266 (71.475)
Epoch: [46][2710/5005] Time 0.200 (0.211) Data 0.044 (0.048) Loss 2.2372 (2.3759) Prec@1 50.391 (46.116) Prec@5 70.703 (71.474)
Epoch: [46][2720/5005] Time 0.213 (0.210) Data 0.042 (0.048) Loss 2.2678 (2.3759) Prec@1 51.562 (46.115) Prec@5 73.047 (71.478)
Epoch: [46][2730/5005] Time 0.219 (0.210) Data 0.046 (0.048) Loss 2.4478 (2.3757) Prec@1 48.047 (46.119) Prec@5 72.266 (71.482)
Epoch: [46][2740/5005] Time 0.202 (0.210) Data 0.046 (0.048) Loss 2.3419 (2.3756) Prec@1 46.484 (46.122) Prec@5 71.094 (71.483)
Epoch: [46][2750/5005] Time 0.208 (0.210) Data 0.038 (0.048) Loss 2.4079 (2.3754) Prec@1 42.578 (46.123) Prec@5 69.922 (71.482)
Epoch: [46][2760/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.3025 (2.3753) Prec@1 50.000 (46.127) Prec@5 72.656 (71.486)
Epoch: [46][2770/5005] Time 0.214 (0.210) Data 0.043 (0.048) Loss 2.2598 (2.3754) Prec@1 47.656 (46.124) Prec@5 75.391 (71.488)
Epoch: [46][2780/5005] Time 0.205 (0.210) Data 0.051 (0.048) Loss 2.5585 (2.3754) Prec@1 43.359 (46.124) Prec@5 65.234 (71.488)
Epoch: [46][2790/5005] Time 0.208 (0.210) Data 0.062 (0.048) Loss 2.6388 (2.3753) Prec@1 41.406 (46.128) Prec@5 67.969 (71.490)
Epoch: [46][2800/5005] Time 0.191 (0.210) Data 0.055 (0.048) Loss 2.0829 (2.3752) Prec@1 50.781 (46.133) Prec@5 78.125 (71.496)
Epoch: [46][2810/5005] Time 0.212 (0.210) Data 0.040 (0.048) Loss 2.5271 (2.3752) Prec@1 46.484 (46.136) Prec@5 67.969 (71.494)
Epoch: [46][2820/5005] Time 0.211 (0.210) Data 0.041 (0.048) Loss 2.1166 (2.3751) Prec@1 51.172 (46.133) Prec@5 76.172 (71.494)
Epoch: [46][2830/5005] Time 0.205 (0.210) Data 0.042 (0.048) Loss 2.4294 (2.3752) Prec@1 46.484 (46.130) Prec@5 70.312 (71.493)
Epoch: [46][2840/5005] Time 0.203 (0.210) Data 0.057 (0.048) Loss 2.4719 (2.3752) Prec@1 42.188 (46.128) Prec@5 73.828 (71.499)
Epoch: [46][2850/5005] Time 0.193 (0.210) Data 0.040 (0.048) Loss 2.4029 (2.3752) Prec@1 47.656 (46.129) Prec@5 68.750 (71.497)
Epoch: [46][2860/5005] Time 0.208 (0.210) Data 0.047 (0.048) Loss 2.3429 (2.3753) Prec@1 48.828 (46.128) Prec@5 71.094 (71.493)
Epoch: [46][2870/5005] Time 0.218 (0.210) Data 0.041 (0.048) Loss 2.3041 (2.3749) Prec@1 46.875 (46.139) Prec@5 72.266 (71.499)
Epoch: [46][2880/5005] Time 0.211 (0.210) Data 0.041 (0.048) Loss 2.4843 (2.3751) Prec@1 43.750 (46.134) Prec@5 71.875 (71.496)
Epoch: [46][2890/5005] Time 0.203 (0.210) Data 0.054 (0.048) Loss 2.4679 (2.3749) Prec@1 41.797 (46.135) Prec@5 69.922 (71.497)
Epoch: [46][2900/5005] Time 0.223 (0.210) Data 0.045 (0.048) Loss 2.1759 (2.3747) Prec@1 48.828 (46.133) Prec@5 74.219 (71.502)
Epoch: [46][2910/5005] Time 0.205 (0.210) Data 0.040 (0.048) Loss 2.3709 (2.3747) Prec@1 46.875 (46.132) Prec@5 69.531 (71.500)
Epoch: [46][2920/5005] Time 0.200 (0.210) Data 0.044 (0.048) Loss 2.4423 (2.3747) Prec@1 43.359 (46.130) Prec@5 71.875 (71.504)
Epoch: [46][2930/5005] Time 0.194 (0.210) Data 0.043 (0.048) Loss 2.4480 (2.3748) Prec@1 47.656 (46.130) Prec@5 68.750 (71.501)
Epoch: [46][2940/5005] Time 0.207 (0.210) Data 0.043 (0.048) Loss 2.5120 (2.3747) Prec@1 42.188 (46.131) Prec@5 67.578 (71.501)
Epoch: [46][2950/5005] Time 0.209 (0.210) Data 0.052 (0.048) Loss 2.5719 (2.3747) Prec@1 39.453 (46.133) Prec@5 69.141 (71.502)
Epoch: [46][2960/5005] Time 0.216 (0.210) Data 0.047 (0.048) Loss 2.2910 (2.3746) Prec@1 47.266 (46.134) Prec@5 71.875 (71.500)
Epoch: [46][2970/5005] Time 0.200 (0.210) Data 0.048 (0.048) Loss 2.4360 (2.3745) Prec@1 43.750 (46.132) Prec@5 73.047 (71.500)
Epoch: [46][2980/5005] Time 0.210 (0.210) Data 0.047 (0.048) Loss 2.4935 (2.3746) Prec@1 43.750 (46.129) Prec@5 71.094 (71.499)
Epoch: [46][2990/5005] Time 0.200 (0.210) Data 0.061 (0.048) Loss 2.3138 (2.3746) Prec@1 47.656 (46.129) Prec@5 70.703 (71.498)
Epoch: [46][3000/5005] Time 0.203 (0.210) Data 0.045 (0.048) Loss 2.3473 (2.3746) Prec@1 46.875 (46.127) Prec@5 74.219 (71.500)
Epoch: [46][3010/5005] Time 0.218 (0.210) Data 0.047 (0.048) Loss 2.3863 (2.3746) Prec@1 45.703 (46.126) Prec@5 69.141 (71.497)
Epoch: [46][3020/5005] Time 0.201 (0.210) Data 0.040 (0.048) Loss 2.2492 (2.3748) Prec@1 48.828 (46.123) Prec@5 74.609 (71.492)
Epoch: [46][3030/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.3621 (2.3748) Prec@1 48.438 (46.125) Prec@5 72.266 (71.491)
Epoch: [46][3040/5005] Time 0.204 (0.210) Data 0.041 (0.048) Loss 2.3580 (2.3746) Prec@1 42.578 (46.132) Prec@5 71.875 (71.494)
Epoch: [46][3050/5005] Time 0.205 (0.210) Data 0.063 (0.048) Loss 2.3079 (2.3745) Prec@1 44.141 (46.129) Prec@5 73.047 (71.496)
Epoch: [46][3060/5005] Time 0.204 (0.210) Data 0.043 (0.048) Loss 2.2098 (2.3743) Prec@1 50.000 (46.131) Prec@5 76.953 (71.502)
Epoch: [46][3070/5005] Time 0.216 (0.210) Data 0.043 (0.048) Loss 2.3425 (2.3743) Prec@1 47.266 (46.133) Prec@5 69.531 (71.501)
Epoch: [46][3080/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.2331 (2.3743) Prec@1 43.750 (46.129) Prec@5 73.438 (71.505)
Epoch: [46][3090/5005] Time 0.203 (0.210) Data 0.050 (0.048) Loss 2.5660 (2.3743) Prec@1 40.234 (46.130) Prec@5 69.922 (71.503)
Epoch: [46][3100/5005] Time 0.205 (0.210) Data 0.044 (0.048) Loss 2.3531 (2.3745) Prec@1 47.656 (46.126) Prec@5 71.094 (71.500)
Epoch: [46][3110/5005] Time 0.191 (0.210) Data 0.054 (0.048) Loss 2.1116 (2.3742) Prec@1 54.297 (46.134) Prec@5 75.781 (71.507)
Epoch: [46][3120/5005] Time 0.195 (0.210) Data 0.047 (0.048) Loss 2.5034 (2.3742) Prec@1 44.531 (46.130) Prec@5 70.312 (71.508)
Epoch: [46][3130/5005] Time 0.208 (0.210) Data 0.042 (0.048) Loss 2.4846 (2.3740) Prec@1 42.969 (46.133) Prec@5 68.359 (71.510)
Epoch: [46][3140/5005] Time 0.204 (0.210) Data 0.044 (0.048) Loss 2.1403 (2.3739) Prec@1 51.953 (46.136) Prec@5 74.219 (71.513)
Epoch: [46][3150/5005] Time 0.205 (0.210) Data 0.043 (0.048) Loss 2.3953 (2.3738) Prec@1 48.828 (46.141) Prec@5 69.922 (71.515)
Epoch: [46][3160/5005] Time 0.201 (0.210) Data 0.042 (0.048) Loss 2.1701 (2.3737) Prec@1 53.516 (46.145) Prec@5 75.781 (71.515)
Epoch: [46][3170/5005] Time 0.213 (0.210) Data 0.041 (0.048) Loss 2.4206 (2.3738) Prec@1 44.922 (46.144) Prec@5 71.875 (71.514)
Epoch: [46][3180/5005] Time 0.203 (0.210) Data 0.040 (0.048) Loss 2.1217 (2.3738) Prec@1 51.172 (46.145) Prec@5 74.219 (71.516)
Epoch: [46][3190/5005] Time 0.212 (0.210) Data 0.042 (0.048) Loss 2.4244 (2.3738) Prec@1 43.750 (46.145) Prec@5 70.312 (71.513)
Epoch: [46][3200/5005] Time 0.205 (0.210) Data 0.039 (0.048) Loss 2.4480 (2.3738) Prec@1 42.578 (46.146) Prec@5 71.094 (71.513)
Epoch: [46][3210/5005] Time 0.201 (0.210) Data 0.063 (0.048) Loss 2.4099 (2.3738) Prec@1 47.266 (46.147) Prec@5 72.656 (71.512)
Epoch: [46][3220/5005] Time 0.212 (0.210) Data 0.048 (0.048) Loss 2.3581 (2.3738) Prec@1 50.000 (46.147) Prec@5 73.047 (71.511)
Epoch: [46][3230/5005] Time 0.214 (0.210) Data 0.043 (0.048) Loss 2.2635 (2.3736) Prec@1 48.047 (46.151) Prec@5 73.828 (71.516)
Epoch: [46][3240/5005] Time 0.209 (0.210) Data 0.045 (0.048) Loss 2.6650 (2.3740) Prec@1 37.109 (46.141) Prec@5 66.016 (71.509)
Epoch: [46][3250/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.2122 (2.3740) Prec@1 49.219 (46.141) Prec@5 75.391 (71.510)
Epoch: [46][3260/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.3029 (2.3741) Prec@1 48.828 (46.139) Prec@5 71.875 (71.506)
Epoch: [46][3270/5005] Time 0.208 (0.210) Data 0.042 (0.048) Loss 2.3454 (2.3739) Prec@1 49.609 (46.142) Prec@5 69.922 (71.507)
Epoch: [46][3280/5005] Time 0.208 (0.210) Data 0.043 (0.048) Loss 2.3438 (2.3740) Prec@1 49.219 (46.143) Prec@5 73.047 (71.507)
Epoch: [46][3290/5005] Time 0.212 (0.210) Data 0.048 (0.048) Loss 2.3360 (2.3739) Prec@1 47.266 (46.144) Prec@5 71.484 (71.508)
Epoch: [46][3300/5005] Time 0.213 (0.210) Data 0.051 (0.048) Loss 2.3637 (2.3740) Prec@1 44.922 (46.141) Prec@5 69.531 (71.510)
Epoch: [46][3310/5005] Time 0.211 (0.210) Data 0.047 (0.048) Loss 2.2711 (2.3740) Prec@1 46.484 (46.137) Prec@5 71.094 (71.510)
Epoch: [46][3320/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.3859 (2.3741) Prec@1 49.219 (46.136) Prec@5 73.047 (71.508)
Epoch: [46][3330/5005] Time 0.211 (0.210) Data 0.042 (0.048) Loss 2.5427 (2.3741) Prec@1 42.969 (46.138) Prec@5 67.578 (71.509)
Epoch: [46][3340/5005] Time 0.204 (0.210) Data 0.043 (0.048) Loss 2.5610 (2.3742) Prec@1 43.750 (46.134) Prec@5 67.188 (71.506)
Epoch: [46][3350/5005] Time 0.205 (0.210) Data 0.046 (0.048) Loss 2.4496 (2.3741) Prec@1 46.484 (46.130) Prec@5 72.656 (71.510)
Epoch: [46][3360/5005] Time 0.202 (0.210) Data 0.055 (0.048) Loss 2.4168 (2.3742) Prec@1 47.266 (46.131) Prec@5 72.656 (71.508)
Epoch: [46][3370/5005] Time 0.201 (0.210) Data 0.043 (0.048) Loss 2.4668 (2.3742) Prec@1 40.234 (46.130) Prec@5 69.531 (71.508)
Epoch: [46][3380/5005] Time 0.204 (0.210) Data 0.050 (0.048) Loss 2.3002 (2.3741) Prec@1 48.047 (46.128) Prec@5 73.438 (71.508)
Epoch: [46][3390/5005] Time 0.212 (0.210) Data 0.048 (0.048) Loss 2.2552 (2.3742) Prec@1 51.562 (46.128) Prec@5 76.172 (71.505)
Epoch: [46][3400/5005] Time 0.219 (0.210) Data 0.040 (0.048) Loss 2.2242 (2.3742) Prec@1 48.828 (46.129) Prec@5 74.609 (71.505)
Epoch: [46][3410/5005] Time 0.207 (0.210) Data 0.049 (0.048) Loss 2.3492 (2.3741) Prec@1 46.094 (46.132) Prec@5 69.141 (71.505)
Epoch: [46][3420/5005] Time 0.217 (0.210) Data 0.043 (0.048) Loss 2.2577 (2.3741) Prec@1 49.609 (46.130) Prec@5 73.438 (71.505)
Epoch: [46][3430/5005] Time 0.212 (0.210) Data 0.041 (0.048) Loss 2.3095 (2.3740) Prec@1 46.094 (46.128) Prec@5 70.703 (71.508)
Epoch: [46][3440/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.4399 (2.3739) Prec@1 42.578 (46.128) Prec@5 69.922 (71.509)
Epoch: [46][3450/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.1709 (2.3738) Prec@1 50.000 (46.130) Prec@5 76.172 (71.512)
Epoch: [46][3460/5005] Time 0.213 (0.210) Data 0.044 (0.048) Loss 2.4084 (2.3740) Prec@1 44.531 (46.126) Prec@5 72.656 (71.512)
Epoch: [46][3470/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.1781 (2.3739) Prec@1 50.781 (46.127) Prec@5 75.000 (71.513)
Epoch: [46][3480/5005] Time 0.211 (0.210) Data 0.041 (0.048) Loss 2.2447 (2.3737) Prec@1 48.828 (46.129) Prec@5 75.781 (71.517)
Epoch: [46][3490/5005] Time 0.203 (0.210) Data 0.046 (0.048) Loss 2.3572 (2.3738) Prec@1 46.484 (46.130) Prec@5 72.656 (71.516)
Epoch: [46][3500/5005] Time 0.201 (0.210) Data 0.044 (0.048) Loss 2.1584 (2.3738) Prec@1 52.734 (46.130) Prec@5 76.953 (71.519)
Epoch: [46][3510/5005] Time 0.215 (0.210) Data 0.042 (0.048) Loss 2.2957 (2.3736) Prec@1 44.141 (46.130) Prec@5 72.656 (71.522)
Epoch: [46][3520/5005] Time 0.214 (0.210) Data 0.043 (0.048) Loss 2.4896 (2.3737) Prec@1 44.922 (46.131) Prec@5 68.750 (71.521)
Epoch: [46][3530/5005] Time 0.210 (0.210) Data 0.052 (0.048) Loss 2.2141 (2.3736) Prec@1 48.828 (46.131) Prec@5 75.781 (71.522)
Epoch: [46][3540/5005] Time 0.189 (0.210) Data 0.064 (0.048) Loss 2.2526 (2.3734) Prec@1 45.312 (46.133) Prec@5 75.391 (71.525)
Epoch: [46][3550/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.4723 (2.3732) Prec@1 42.969 (46.134) Prec@5 71.094 (71.527)
Epoch: [46][3560/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.4967 (2.3731) Prec@1 47.266 (46.137) Prec@5 67.969 (71.528)
Epoch: [46][3570/5005] Time 0.205 (0.210) Data 0.046 (0.048) Loss 2.4909 (2.3732) Prec@1 45.312 (46.136) Prec@5 65.625 (71.526)
Epoch: [46][3580/5005] Time 0.203 (0.210) Data 0.068 (0.048) Loss 2.4600 (2.3733) Prec@1 44.141 (46.132) Prec@5 71.484 (71.525)
Epoch: [46][3590/5005] Time 0.213 (0.210) Data 0.044 (0.048) Loss 2.3251 (2.3731) Prec@1 47.656 (46.135) Prec@5 73.828 (71.531)
Epoch: [46][3600/5005] Time 0.202 (0.210) Data 0.060 (0.048) Loss 2.5029 (2.3729) Prec@1 44.922 (46.138) Prec@5 68.359 (71.533)
Epoch: [46][3610/5005] Time 0.215 (0.210) Data 0.042 (0.048) Loss 2.1937 (2.3729) Prec@1 47.656 (46.137) Prec@5 72.266 (71.532)
Epoch: [46][3620/5005] Time 0.210 (0.210) Data 0.042 (0.048) Loss 2.5949 (2.3727) Prec@1 41.016 (46.141) Prec@5 67.578 (71.534)
Epoch: [46][3630/5005] Time 0.210 (0.210) Data 0.046 (0.048) Loss 2.6730 (2.3727) Prec@1 40.625 (46.140) Prec@5 64.844 (71.533)
Epoch: [46][3640/5005] Time 0.204 (0.210) Data 0.043 (0.048) Loss 2.4207 (2.3727) Prec@1 42.578 (46.139) Prec@5 68.750 (71.533)
Epoch: [46][3650/5005] Time 0.204 (0.210) Data 0.064 (0.048) Loss 2.2829 (2.3727) Prec@1 46.484 (46.135) Prec@5 73.047 (71.534)
Epoch: [46][3660/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.5304 (2.3726) Prec@1 45.312 (46.136) Prec@5 68.359 (71.537)
Epoch: [46][3670/5005] Time 0.204 (0.210) Data 0.047 (0.048) Loss 2.4996 (2.3727) Prec@1 45.703 (46.134) Prec@5 71.875 (71.534)
Epoch: [46][3680/5005] Time 0.205 (0.210) Data 0.041 (0.048) Loss 2.2470 (2.3728) Prec@1 48.438 (46.131) Prec@5 75.391 (71.534)
Epoch: [46][3690/5005] Time 0.201 (0.210) Data 0.060 (0.048) Loss 2.2309 (2.3728) Prec@1 45.312 (46.129) Prec@5 73.828 (71.536)
Epoch: [46][3700/5005] Time 0.216 (0.210) Data 0.043 (0.048) Loss 2.4632 (2.3728) Prec@1 44.922 (46.128) Prec@5 72.266 (71.536)
Epoch: [46][3710/5005] Time 0.206 (0.210) Data 0.044 (0.048) Loss 2.2721 (2.3728) Prec@1 50.781 (46.130) Prec@5 75.000 (71.538)
Epoch: [46][3720/5005] Time 0.206 (0.210) Data 0.043 (0.048) Loss 2.5194 (2.3728) Prec@1 46.484 (46.129) Prec@5 68.750 (71.539)
Epoch: [46][3730/5005] Time 0.204 (0.210) Data 0.058 (0.048) Loss 2.1545 (2.3727) Prec@1 52.734 (46.134) Prec@5 76.172 (71.539)
Epoch: [46][3740/5005] Time 0.205 (0.210) Data 0.044 (0.048) Loss 2.2631 (2.3724) Prec@1 50.781 (46.141) Prec@5 76.953 (71.544)
Epoch: [46][3750/5005] Time 0.202 (0.210) Data 0.041 (0.048) Loss 2.2643 (2.3725) Prec@1 49.219 (46.137) Prec@5 73.047 (71.542)
Epoch: [46][3760/5005] Time 0.209 (0.210) Data 0.057 (0.048) Loss 2.4221 (2.3725) Prec@1 46.484 (46.135) Prec@5 69.531 (71.541)
Epoch: [46][3770/5005] Time 0.215 (0.210) Data 0.042 (0.048) Loss 2.4229 (2.3725) Prec@1 44.531 (46.134) Prec@5 70.312 (71.540)
Epoch: [46][3780/5005] Time 0.214 (0.210) Data 0.047 (0.048) Loss 2.4363 (2.3724) Prec@1 42.188 (46.135) Prec@5 71.484 (71.538)
Epoch: [46][3790/5005] Time 0.208 (0.210) Data 0.048 (0.048) Loss 2.5894 (2.3726) Prec@1 41.406 (46.130) Prec@5 67.188 (71.538)
Epoch: [46][3800/5005] Time 0.206 (0.210) Data 0.046 (0.048) Loss 2.2884 (2.3728) Prec@1 44.922 (46.126) Prec@5 74.609 (71.535)
Epoch: [46][3810/5005] Time 0.206 (0.210) Data 0.044 (0.048) Loss 2.4073 (2.3729) Prec@1 51.562 (46.123) Prec@5 71.875 (71.534)
Epoch: [46][3820/5005] Time 0.202 (0.210) Data 0.058 (0.048) Loss 2.3854 (2.3728) Prec@1 44.922 (46.124) Prec@5 70.703 (71.539)
Epoch: [46][3830/5005] Time 0.190 (0.210) Data 0.055 (0.048) Loss 2.4781 (2.3727) Prec@1 41.406 (46.126) Prec@5 67.969 (71.539)
Epoch: [46][3840/5005] Time 0.201 (0.210) Data 0.057 (0.048) Loss 2.6463 (2.3729) Prec@1 40.625 (46.122) Prec@5 64.453 (71.534)
Epoch: [46][3850/5005] Time 0.206 (0.210) Data 0.055 (0.048) Loss 2.5127 (2.3728) Prec@1 44.141 (46.119) Prec@5 69.531 (71.536)
Epoch: [46][3860/5005] Time 0.216 (0.209) Data 0.041 (0.048) Loss 2.2145 (2.3728) Prec@1 50.000 (46.120) Prec@5 73.828 (71.535)
Epoch: [46][3870/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.3317 (2.3729) Prec@1 46.875 (46.118) Prec@5 73.047 (71.535)
Epoch: [46][3880/5005] Time 0.208 (0.210) Data 0.044 (0.048) Loss 2.3274 (2.3729) Prec@1 49.219 (46.117) Prec@5 72.266 (71.534)
Epoch: [46][3890/5005] Time 0.203 (0.209) Data 0.043 (0.048) Loss 2.6322 (2.3729) Prec@1 42.969 (46.118) Prec@5 67.188 (71.534)
Epoch: [46][3900/5005] Time 0.197 (0.209) Data 0.047 (0.048) Loss 2.5353 (2.3729) Prec@1 44.531 (46.116) Prec@5 67.969 (71.533)
Epoch: [46][3910/5005] Time 0.213 (0.209) Data 0.044 (0.048) Loss 2.3050 (2.3729) Prec@1 43.750 (46.116) Prec@5 73.047 (71.536)
Epoch: [46][3920/5005] Time 0.218 (0.209) Data 0.048 (0.048) Loss 2.3775 (2.3729) Prec@1 44.141 (46.116) Prec@5 71.484 (71.535)
Epoch: [46][3930/5005] Time 0.208 (0.209) Data 0.047 (0.048) Loss 2.3017 (2.3727) Prec@1 48.047 (46.118) Prec@5 71.875 (71.540)
Epoch: [46][3940/5005] Time 0.205 (0.209) Data 0.042 (0.048) Loss 2.2982 (2.3727) Prec@1 47.266 (46.115) Prec@5 73.828 (71.541)
Epoch: [46][3950/5005] Time 0.202 (0.209) Data 0.041 (0.048) Loss 2.1933 (2.3725) Prec@1 51.562 (46.118) Prec@5 73.047 (71.542)
Epoch: [46][3960/5005] Time 0.208 (0.209) Data 0.042 (0.048) Loss 2.3560 (2.3725) Prec@1 47.266 (46.116) Prec@5 70.703 (71.541)
Epoch: [46][3970/5005] Time 0.213 (0.209) Data 0.042 (0.048) Loss 2.4012 (2.3725) Prec@1 46.484 (46.114) Prec@5 71.484 (71.541)
Epoch: [46][3980/5005] Time 0.203 (0.209) Data 0.057 (0.048) Loss 2.3122 (2.3724) Prec@1 45.703 (46.116) Prec@5 74.609 (71.542)
Epoch: [46][3990/5005] Time 0.212 (0.209) Data 0.042 (0.048) Loss 2.4407 (2.3726) Prec@1 44.141 (46.114) Prec@5 70.312 (71.538)
Epoch: [46][4000/5005] Time 0.201 (0.209) Data 0.041 (0.048) Loss 2.2448 (2.3726) Prec@1 51.172 (46.113) Prec@5 73.828 (71.537)
Epoch: [46][4010/5005] Time 0.198 (0.209) Data 0.056 (0.048) Loss 2.2992 (2.3723) Prec@1 47.656 (46.119) Prec@5 71.875 (71.542)
Epoch: [46][4020/5005] Time 0.212 (0.209) Data 0.042 (0.048) Loss 2.4365 (2.3723) Prec@1 42.969 (46.119) Prec@5 69.922 (71.542)
Epoch: [46][4030/5005] Time 0.206 (0.209) Data 0.042 (0.048) Loss 2.5931 (2.3726) Prec@1 43.750 (46.118) Prec@5 66.406 (71.536)
Epoch: [46][4040/5005] Time 0.212 (0.209) Data 0.043 (0.048) Loss 2.3889 (2.3728) Prec@1 50.391 (46.116) Prec@5 68.359 (71.532)
Epoch: [46][4050/5005] Time 0.209 (0.209) Data 0.047 (0.048) Loss 2.5961 (2.3727) Prec@1 42.578 (46.119) Prec@5 62.891 (71.532)
Epoch: [46][4060/5005] Time 0.207 (0.209) Data 0.053 (0.048) Loss 2.3071 (2.3727) Prec@1 48.047 (46.117) Prec@5 71.094 (71.531)
Epoch: [46][4070/5005] Time 0.201 (0.209) Data 0.046 (0.048) Loss 2.5604 (2.3727) Prec@1 47.656 (46.116) Prec@5 69.531 (71.531)
Epoch: [46][4080/5005] Time 0.209 (0.209) Data 0.048 (0.048) Loss 2.3154 (2.3727) Prec@1 48.828 (46.116) Prec@5 72.656 (71.532)
Epoch: [46][4090/5005] Time 0.208 (0.209) Data 0.052 (0.048) Loss 2.4336 (2.3728) Prec@1 50.391 (46.114) Prec@5 69.531 (71.531)
Epoch: [46][4100/5005] Time 0.212 (0.209) Data 0.041 (0.048) Loss 2.4021 (2.3727) Prec@1 44.922 (46.112) Prec@5 68.359 (71.530)
Epoch: [46][4110/5005] Time 0.203 (0.209) Data 0.044 (0.048) Loss 2.5113 (2.3727) Prec@1 42.578 (46.109) Prec@5 67.578 (71.531)
Epoch: [46][4120/5005] Time 0.196 (0.209) Data 0.056 (0.048) Loss 2.4919 (2.3726) Prec@1 45.312 (46.111) Prec@5 68.750 (71.533)
Epoch: [46][4130/5005] Time 0.205 (0.209) Data 0.060 (0.048) Loss 2.5227 (2.3726) Prec@1 41.016 (46.111) Prec@5 68.750 (71.532)
Epoch: [46][4140/5005] Time 0.205 (0.209) Data 0.057 (0.048) Loss 2.4583 (2.3725) Prec@1 46.875 (46.115) Prec@5 67.969 (71.533)
Epoch: [46][4150/5005] Time 0.220 (0.209) Data 0.043 (0.048) Loss 2.5559 (2.3726) Prec@1 40.234 (46.111) Prec@5 69.141 (71.532)
Epoch: [46][4160/5005] Time 0.197 (0.209) Data 0.051 (0.048) Loss 2.3491 (2.3728) Prec@1 46.875 (46.108) Prec@5 73.828 (71.529)
Epoch: [46][4170/5005] Time 0.207 (0.209) Data 0.044 (0.048) Loss 2.2076 (2.3727) Prec@1 46.484 (46.109) Prec@5 75.000 (71.531)
Epoch: [46][4180/5005] Time 0.209 (0.209) Data 0.043 (0.048) Loss 2.3107 (2.3726) Prec@1 48.047 (46.112) Prec@5 71.875 (71.530)
Epoch: [46][4190/5005] Time 0.205 (0.209) Data 0.040 (0.048) Loss 2.2124 (2.3726) Prec@1 44.531 (46.110) Prec@5 74.219 (71.531)
Epoch: [46][4200/5005] Time 0.207 (0.209) Data 0.043 (0.048) Loss 2.1674 (2.3726) Prec@1 51.562 (46.110) Prec@5 73.438 (71.532)
Epoch: [46][4210/5005] Time 0.215 (0.209) Data 0.048 (0.048) Loss 2.3072 (2.3726) Prec@1 47.266 (46.110) Prec@5 72.266 (71.530)
Epoch: [46][4220/5005] Time 0.200 (0.209) Data 0.051 (0.048) Loss 2.3533 (2.3727) Prec@1 46.484 (46.106) Prec@5 73.438 (71.529)
Epoch: [46][4230/5005] Time 0.212 (0.209) Data 0.046 (0.048) Loss 2.2914 (2.3727) Prec@1 47.656 (46.105) Prec@5 68.750 (71.528)
Epoch: [46][4240/5005] Time 0.200 (0.209) Data 0.050 (0.048) Loss 2.2773 (2.3727) Prec@1 44.922 (46.106) Prec@5 72.656 (71.527)
Epoch: [46][4250/5005] Time 0.204 (0.209) Data 0.053 (0.048) Loss 2.2673 (2.3726) Prec@1 45.312 (46.106) Prec@5 73.438 (71.527)
Epoch: [46][4260/5005] Time 0.207 (0.209) Data 0.042 (0.048) Loss 2.2378 (2.3725) Prec@1 44.531 (46.108) Prec@5 73.047 (71.529)
Epoch: [46][4270/5005] Time 0.199 (0.209) Data 0.054 (0.048) Loss 2.6499 (2.3728) Prec@1 42.578 (46.105) Prec@5 67.188 (71.526)
Epoch: [46][4280/5005] Time 0.205 (0.209) Data 0.045 (0.048) Loss 2.4439 (2.3727) Prec@1 46.484 (46.106) Prec@5 68.750 (71.524)
Epoch: [46][4290/5005] Time 0.211 (0.209) Data 0.043 (0.048) Loss 2.6481 (2.3729) Prec@1 44.922 (46.103) Prec@5 66.016 (71.521)
Epoch: [46][4300/5005] Time 0.196 (0.209) Data 0.063 (0.048) Loss 2.2111 (2.3726) Prec@1 48.047 (46.108) Prec@5 75.781 (71.526)
Epoch: [46][4310/5005] Time 0.207 (0.209) Data 0.044 (0.048) Loss 2.4024 (2.3726) Prec@1 46.875 (46.113) Prec@5 71.875 (71.527)
Epoch: [46][4320/5005] Time 0.212 (0.209) Data 0.058 (0.048) Loss 2.3872 (2.3726) Prec@1 46.875 (46.113) Prec@5 70.312 (71.528)
Epoch: [46][4330/5005] Time 0.203 (0.209) Data 0.044 (0.048) Loss 2.1675 (2.3725) Prec@1 49.219 (46.115) Prec@5 76.172 (71.530)
Epoch: [46][4340/5005] Time 0.213 (0.209) Data 0.041 (0.048) Loss 2.3612 (2.3726) Prec@1 43.750 (46.113) Prec@5 68.750 (71.527)
Epoch: [46][4350/5005] Time 0.211 (0.209) Data 0.049 (0.048) Loss 2.3417 (2.3726) Prec@1 50.000 (46.117) Prec@5 72.266 (71.530)
Epoch: [46][4360/5005] Time 0.204 (0.209) Data 0.049 (0.048) Loss 2.3430 (2.3724) Prec@1 42.188 (46.116) Prec@5 72.656 (71.532)
Epoch: [46][4370/5005] Time 0.214 (0.209) Data 0.043 (0.048) Loss 2.3548 (2.3725) Prec@1 48.047 (46.116) Prec@5 69.531 (71.532)
Epoch: [46][4380/5005] Time 0.211 (0.209) Data 0.046 (0.048) Loss 2.4121 (2.3725) Prec@1 44.922 (46.115) Prec@5 68.359 (71.533)
Epoch: [46][4390/5005] Time 0.210 (0.209) Data 0.046 (0.048) Loss 2.4117 (2.3724) Prec@1 47.266 (46.119) Prec@5 69.922 (71.536)
Epoch: [46][4400/5005] Time 0.209 (0.209) Data 0.050 (0.048) Loss 2.2468 (2.3724) Prec@1 46.875 (46.119) Prec@5 74.219 (71.532)
Epoch: [46][4410/5005] Time 0.211 (0.209) Data 0.045 (0.048) Loss 2.3045 (2.3724) Prec@1 45.312 (46.119) Prec@5 75.391 (71.533)
Epoch: [46][4420/5005] Time 0.218 (0.209) Data 0.042 (0.048) Loss 2.1383 (2.3723) Prec@1 53.906 (46.120) Prec@5 74.219 (71.534)
Epoch: [46][4430/5005] Time 0.208 (0.209) Data 0.043 (0.048) Loss 2.3455 (2.3721) Prec@1 47.656 (46.126) Prec@5 68.359 (71.536)
Epoch: [46][4440/5005] Time 0.221 (0.209) Data 0.042 (0.048) Loss 2.3758 (2.3721) Prec@1 45.703 (46.127) Prec@5 71.484 (71.535)
Epoch: [46][4450/5005] Time 0.200 (0.209) Data 0.047 (0.048) Loss 2.3126 (2.3721) Prec@1 45.703 (46.127) Prec@5 71.094 (71.535)
Epoch: [46][4460/5005] Time 0.214 (0.209) Data 0.044 (0.048) Loss 2.4276 (2.3720) Prec@1 46.094 (46.127) Prec@5 68.359 (71.534)
Epoch: [46][4470/5005] Time 0.208 (0.209) Data 0.043 (0.048) Loss 2.2821 (2.3721) Prec@1 45.703 (46.127) Prec@5 71.484 (71.534)
Epoch: [46][4480/5005] Time 0.208 (0.209) Data 0.045 (0.048) Loss 2.2619 (2.3723) Prec@1 44.531 (46.124) Prec@5 74.609 (71.531)
Epoch: [46][4490/5005] Time 0.211 (0.209) Data 0.042 (0.048) Loss 2.3362 (2.3723) Prec@1 44.141 (46.123) Prec@5 72.656 (71.531)
Epoch: [46][4500/5005] Time 0.213 (0.209) Data 0.049 (0.048) Loss 2.3256 (2.3723) Prec@1 47.266 (46.122) Prec@5 71.484 (71.531)
Epoch: [46][4510/5005] Time 0.206 (0.209) Data 0.046 (0.048) Loss 2.1934 (2.3723) Prec@1 50.781 (46.123) Prec@5 73.047 (71.529)
Epoch: [46][4520/5005] Time 0.204 (0.209) Data 0.042 (0.048) Loss 2.3632 (2.3722) Prec@1 48.438 (46.126) Prec@5 75.000 (71.534)
Epoch: [46][4530/5005] Time 0.205 (0.209) Data 0.051 (0.048) Loss 2.1888 (2.3721) Prec@1 48.047 (46.125) Prec@5 76.562 (71.535)
Epoch: [46][4540/5005] Time 0.209 (0.209) Data 0.044 (0.048) Loss 2.4788 (2.3723) Prec@1 44.922 (46.122) Prec@5 72.656 (71.533)
Epoch: [46][4550/5005] Time 0.205 (0.209) Data 0.039 (0.048) Loss 2.3187 (2.3722) Prec@1 46.875 (46.121) Prec@5 69.922 (71.533)
Epoch: [46][4560/5005] Time 0.213 (0.209) Data 0.043 (0.048) Loss 2.2513 (2.3722) Prec@1 46.094 (46.124) Prec@5 74.609 (71.535)
Epoch: [46][4570/5005] Time 0.210 (0.209) Data 0.046 (0.048) Loss 2.4555 (2.3721) Prec@1 45.312 (46.123) Prec@5 70.312 (71.537)
Epoch: [46][4580/5005] Time 0.200 (0.209) Data 0.048 (0.048) Loss 2.4336 (2.3721) Prec@1 46.875 (46.123) Prec@5 73.047 (71.540)
Epoch: [46][4590/5005] Time 0.205 (0.209) Data 0.066 (0.048) Loss 2.3157 (2.3723) Prec@1 44.922 (46.121) Prec@5 74.609 (71.538)
Epoch: [46][4600/5005] Time 0.209 (0.209) Data 0.060 (0.048) Loss 2.0837 (2.3723) Prec@1 51.953 (46.122) Prec@5 74.219 (71.535)
Epoch: [46][4610/5005] Time 0.205 (0.209) Data 0.059 (0.048) Loss 2.2304 (2.3723) Prec@1 45.703 (46.122) Prec@5 74.609 (71.536)
Epoch: [46][4620/5005] Time 0.196 (0.209) Data 0.060 (0.048) Loss 2.2280 (2.3723) Prec@1 46.875 (46.124) Prec@5 71.484 (71.537)
Epoch: [46][4630/5005] Time 0.207 (0.209) Data 0.044 (0.048) Loss 2.2192 (2.3721) Prec@1 52.344 (46.127) Prec@5 76.562 (71.540)
Epoch: [46][4640/5005] Time 0.193 (0.209) Data 0.062 (0.048) Loss 2.4371 (2.3721) Prec@1 45.703 (46.127) Prec@5 71.094 (71.540)
Epoch: [46][4650/5005] Time 0.207 (0.209) Data 0.064 (0.048) Loss 2.4170 (2.3720) Prec@1 44.922 (46.126) Prec@5 69.531 (71.540)
Epoch: [46][4660/5005] Time 0.207 (0.209) Data 0.061 (0.048) Loss 2.5911 (2.3720) Prec@1 41.406 (46.126) Prec@5 64.062 (71.539)
Epoch: [46][4670/5005] Time 0.219 (0.209) Data 0.045 (0.048) Loss 2.2441 (2.3720) Prec@1 49.219 (46.128) Prec@5 74.219 (71.538)
Epoch: [46][4680/5005] Time 0.207 (0.209) Data 0.049 (0.048) Loss 2.2244 (2.3719) Prec@1 48.047 (46.127) Prec@5 72.656 (71.538)
Epoch: [46][4690/5005] Time 0.203 (0.209) Data 0.065 (0.048) Loss 2.4061 (2.3720) Prec@1 41.406 (46.123) Prec@5 71.484 (71.539)
Epoch: [46][4700/5005] Time 0.190 (0.209) Data 0.054 (0.048) Loss 2.3610 (2.3720) Prec@1 45.312 (46.123) Prec@5 71.484 (71.538)
Epoch: [46][4710/5005] Time 0.201 (0.209) Data 0.043 (0.048) Loss 2.2859 (2.3717) Prec@1 49.219 (46.127) Prec@5 73.438 (71.543)
Epoch: [46][4720/5005] Time 0.210 (0.209) Data 0.042 (0.048) Loss 2.2578 (2.3718) Prec@1 48.047 (46.127) Prec@5 73.828 (71.543)
Epoch: [46][4730/5005] Time 0.195 (0.209) Data 0.049 (0.048) Loss 2.2079 (2.3718) Prec@1 51.562 (46.124) Prec@5 75.781 (71.542)
Epoch: [46][4740/5005] Time 0.213 (0.209) Data 0.043 (0.048) Loss 2.2393 (2.3718) Prec@1 45.312 (46.124) Prec@5 76.172 (71.544)
Epoch: [46][4750/5005] Time 0.209 (0.209) Data 0.042 (0.048) Loss 2.3590 (2.3717) Prec@1 48.047 (46.125) Prec@5 69.922 (71.545)
Epoch: [46][4760/5005] Time 0.212 (0.209) Data 0.046 (0.048) Loss 2.6544 (2.3716) Prec@1 40.234 (46.127) Prec@5 66.797 (71.547)
Epoch: [46][4770/5005] Time 0.211 (0.209) Data 0.050 (0.048) Loss 2.2996 (2.3717) Prec@1 49.609 (46.129) Prec@5 72.656 (71.547)
Epoch: [46][4780/5005] Time 0.207 (0.209) Data 0.058 (0.048) Loss 2.3071 (2.3717) Prec@1 48.438 (46.128) Prec@5 75.000 (71.545)
Epoch: [46][4790/5005] Time 0.208 (0.209) Data 0.042 (0.048) Loss 2.6303 (2.3718) Prec@1 40.234 (46.130) Prec@5 66.797 (71.545)
Epoch: [46][4800/5005] Time 0.216 (0.209) Data 0.042 (0.048) Loss 2.4442 (2.3717) Prec@1 43.750 (46.128) Prec@5 71.484 (71.545)
Epoch: [46][4810/5005] Time 0.205 (0.209) Data 0.045 (0.048) Loss 2.5435 (2.3717) Prec@1 43.359 (46.128) Prec@5 71.484 (71.544)
Epoch: [46][4820/5005] Time 0.211 (0.209) Data 0.043 (0.048) Loss 2.4924 (2.3716) Prec@1 39.453 (46.127) Prec@5 68.750 (71.546)
Epoch: [46][4830/5005] Time 0.205 (0.209) Data 0.047 (0.048) Loss 2.4634 (2.3715) Prec@1 44.531 (46.131) Prec@5 68.750 (71.548)
Epoch: [46][4840/5005] Time 0.199 (0.209) Data 0.043 (0.048) Loss 2.2376 (2.3716) Prec@1 48.047 (46.130) Prec@5 74.609 (71.547)
Epoch: [46][4850/5005] Time 0.206 (0.209) Data 0.053 (0.048) Loss 2.4568 (2.3717) Prec@1 44.922 (46.128) Prec@5 69.922 (71.545)
Epoch: [46][4860/5005] Time 0.210 (0.209) Data 0.042 (0.048) Loss 2.3317 (2.3717) Prec@1 47.266 (46.130) Prec@5 70.312 (71.543)
Epoch: [46][4870/5005] Time 0.196 (0.209) Data 0.050 (0.048) Loss 2.1702 (2.3717) Prec@1 51.562 (46.131) Prec@5 75.781 (71.543)
Epoch: [46][4880/5005] Time 0.206 (0.209) Data 0.049 (0.048) Loss 2.2572 (2.3716) Prec@1 49.219 (46.133) Prec@5 70.703 (71.545)
Epoch: [46][4890/5005] Time 0.212 (0.209) Data 0.049 (0.048) Loss 2.3971 (2.3715) Prec@1 46.094 (46.134) Prec@5 69.922 (71.546)
Epoch: [46][4900/5005] Time 0.213 (0.209) Data 0.060 (0.048) Loss 2.2554 (2.3716) Prec@1 46.484 (46.136) Prec@5 72.656 (71.547)
Epoch: [46][4910/5005] Time 0.216 (0.209) Data 0.042 (0.048) Loss 2.3523 (2.3713) Prec@1 45.312 (46.141) Prec@5 73.047 (71.551)
Epoch: [46][4920/5005] Time 0.204 (0.209) Data 0.044 (0.048) Loss 2.1485 (2.3712) Prec@1 50.000 (46.145) Prec@5 75.000 (71.553)
Epoch: [46][4930/5005] Time 0.199 (0.209) Data 0.045 (0.048) Loss 2.5776 (2.3712) Prec@1 43.359 (46.144) Prec@5 67.578 (71.556)
Epoch: [46][4940/5005] Time 0.203 (0.209) Data 0.043 (0.048) Loss 2.4095 (2.3712) Prec@1 43.750 (46.142) Prec@5 70.312 (71.554)
Epoch: [46][4950/5005] Time 0.200 (0.209) Data 0.049 (0.048) Loss 2.1552 (2.3712) Prec@1 50.391 (46.141) Prec@5 76.953 (71.555)
Epoch: [46][4960/5005] Time 0.207 (0.209) Data 0.048 (0.048) Loss 2.5478 (2.3712) Prec@1 43.359 (46.144) Prec@5 68.359 (71.557)
Epoch: [46][4970/5005] Time 0.210 (0.209) Data 0.046 (0.048) Loss 2.5139 (2.3711) Prec@1 42.969 (46.144) Prec@5 67.578 (71.557)
Epoch: [46][4980/5005] Time 0.204 (0.209) Data 0.042 (0.048) Loss 2.3047 (2.3710) Prec@1 47.266 (46.144) Prec@5 72.266 (71.558)
Epoch: [46][4990/5005] Time 0.211 (0.209) Data 0.026 (0.048) Loss 2.4800 (2.3709) Prec@1 42.969 (46.148) Prec@5 67.969 (71.559)
Epoch: [46][5000/5005] Time 0.206 (0.209) Data 0.021 (0.048) Loss 2.4161 (2.3710) Prec@1 46.484 (46.147) Prec@5 70.703 (71.558)
Test: [0/196] Time 1.761 (1.761) Loss 2.4520 (2.4520) Prec@1 48.438 (48.438) Prec@5 70.312 (70.312)
Test: [10/196] Time 0.127 (0.287) Loss 2.5048 (2.6086) Prec@1 46.875 (43.111) Prec@5 69.141 (68.111)
Test: [20/196] Time 0.042 (0.226) Loss 2.4482 (2.6060) Prec@1 48.438 (43.583) Prec@5 71.094 (68.508)
Test: [30/196] Time 0.042 (0.220) Loss 2.4978 (2.6112) Prec@1 42.969 (43.309) Prec@5 69.531 (68.309)
Test: [40/196] Time 0.044 (0.203) Loss 2.3828 (2.6081) Prec@1 50.000 (43.369) Prec@5 71.484 (68.245)
Test: [50/196] Time 0.045 (0.202) Loss 2.6589 (2.6104) Prec@1 43.750 (43.176) Prec@5 69.141 (68.352)
Test: [60/196] Time 0.084 (0.190) Loss 2.4982 (2.5967) Prec@1 44.531 (43.270) Prec@5 72.656 (68.513)
Test: [70/196] Time 0.099 (0.193) Loss 2.5282 (2.5884) Prec@1 46.094 (43.315) Prec@5 68.750 (68.662)
Test: [80/196] Time 0.199 (0.189) Loss 2.4360 (2.5938) Prec@1 49.609 (43.263) Prec@5 76.562 (68.601)
Test: [90/196] Time 0.042 (0.188) Loss 2.6905 (2.5965) Prec@1 40.625 (43.226) Prec@5 67.969 (68.561)
Test: [100/196] Time 0.294 (0.189) Loss 2.6595 (2.5947) Prec@1 44.141 (43.417) Prec@5 65.625 (68.580)
Test: [110/196] Time 0.094 (0.185) Loss 2.7440 (2.5949) Prec@1 39.844 (43.518) Prec@5 65.625 (68.592)
Test: [120/196] Time 0.192 (0.184) Loss 2.4698 (2.5918) Prec@1 43.750 (43.611) Prec@5 73.047 (68.653)
Test: [130/196] Time 0.046 (0.183) Loss 2.2817 (2.5880) Prec@1 47.656 (43.747) Prec@5 74.609 (68.750)
Test: [140/196] Time 0.473 (0.185) Loss 2.3948 (2.5893) Prec@1 46.484 (43.653) Prec@5 70.312 (68.653)
Test: [150/196] Time 0.361 (0.183) Loss 2.2204 (2.5870) Prec@1 49.609 (43.670) Prec@5 75.391 (68.703)
Test: [160/196] Time 0.258 (0.182) Loss 2.5017 (2.5852) Prec@1 47.656 (43.699) Prec@5 71.875 (68.704)
Test: [170/196] Time 1.062 (0.185) Loss 2.4780 (2.5873) Prec@1 44.141 (43.659) Prec@5 71.094 (68.679)
Test: [180/196] Time 0.756 (0.182) Loss 2.7779 (2.5924) Prec@1 37.500 (43.545) Prec@5 67.188 (68.616)
Test: [190/196] Time 0.042 (0.181) Loss 2.8291 (2.5959) Prec@1 37.891 (43.462) Prec@5 63.281 (68.515)
* Prec@1 43.452 Prec@5 68.526
Learning rate: 0.0001
Epoch: [47][0/5005] Time 1.113 (1.113) Data 1.002 (1.002) Loss 2.1986 (2.1986) Prec@1 50.391 (50.391) Prec@5 76.172 (76.172)
Epoch: [47][10/5005] Time 0.203 (0.285) Data 0.049 (0.134) Loss 2.2786 (2.3815) Prec@1 46.875 (45.135) Prec@5 74.219 (71.875)
Epoch: [47][20/5005] Time 0.207 (0.246) Data 0.039 (0.092) Loss 2.5112 (2.3872) Prec@1 46.484 (44.996) Prec@5 72.656 (71.949)
Epoch: [47][30/5005] Time 0.205 (0.232) Data 0.042 (0.077) Loss 2.2791 (2.3605) Prec@1 46.875 (45.338) Prec@5 71.484 (72.127)
Epoch: [47][40/5005] Time 0.209 (0.225) Data 0.053 (0.070) Loss 2.2615 (2.3642) Prec@1 49.219 (45.684) Prec@5 73.438 (72.008)
Epoch: [47][50/5005] Time 0.203 (0.220) Data 0.046 (0.066) Loss 2.2445 (2.3609) Prec@1 48.828 (45.787) Prec@5 75.781 (71.844)
Epoch: [47][60/5005] Time 0.203 (0.217) Data 0.052 (0.064) Loss 2.3690 (2.3622) Prec@1 46.094 (45.793) Prec@5 70.703 (71.785)
Epoch: [47][70/5005] Time 0.200 (0.215) Data 0.048 (0.062) Loss 2.4341 (2.3766) Prec@1 41.797 (45.489) Prec@5 67.969 (71.567)
Epoch: [47][80/5005] Time 0.204 (0.213) Data 0.047 (0.060) Loss 2.2894 (2.3725) Prec@1 48.828 (45.592) Prec@5 73.828 (71.624)
Epoch: [47][90/5005] Time 0.196 (0.212) Data 0.051 (0.059) Loss 2.5218 (2.3723) Prec@1 44.531 (45.690) Prec@5 71.094 (71.596)
Epoch: [47][100/5005] Time 0.205 (0.211) Data 0.047 (0.059) Loss 2.1561 (2.3716) Prec@1 48.438 (45.634) Prec@5 72.656 (71.469)
Epoch: [47][110/5005] Time 0.201 (0.210) Data 0.047 (0.058) Loss 2.3622 (2.3716) Prec@1 46.094 (45.759) Prec@5 67.969 (71.555)
Epoch: [47][120/5005] Time 0.206 (0.209) Data 0.041 (0.057) Loss 2.4507 (2.3732) Prec@1 42.578 (45.784) Prec@5 71.094 (71.549)
Epoch: [47][130/5005] Time 0.200 (0.209) Data 0.050 (0.056) Loss 2.5052 (2.3736) Prec@1 45.703 (45.769) Prec@5 67.969 (71.490)
Epoch: [47][140/5005] Time 0.202 (0.208) Data 0.052 (0.055) Loss 2.4735 (2.3723) Prec@1 46.094 (45.745) Prec@5 70.703 (71.504)
Epoch: [47][150/5005] Time 0.200 (0.208) Data 0.048 (0.055) Loss 2.6221 (2.3763) Prec@1 41.406 (45.737) Prec@5 65.625 (71.497)
Epoch: [47][160/5005] Time 0.197 (0.208) Data 0.050 (0.055) Loss 2.3315 (2.3781) Prec@1 46.094 (45.778) Prec@5 69.531 (71.467)
Epoch: [47][170/5005] Time 0.212 (0.208) Data 0.042 (0.054) Loss 2.4611 (2.3774) Prec@1 44.922 (45.822) Prec@5 71.094 (71.484)
Epoch: [47][180/5005] Time 0.213 (0.209) Data 0.046 (0.054) Loss 2.5666 (2.3783) Prec@1 44.922 (45.843) Prec@5 66.406 (71.506)
Epoch: [47][190/5005] Time 0.213 (0.210) Data 0.047 (0.054) Loss 2.5070 (2.3824) Prec@1 45.312 (45.785) Prec@5 70.703 (71.441)
Epoch: [47][200/5005] Time 0.223 (0.210) Data 0.047 (0.053) Loss 2.6031 (2.3834) Prec@1 42.969 (45.769) Prec@5 66.797 (71.430)
Epoch: [47][210/5005] Time 0.219 (0.211) Data 0.047 (0.053) Loss 2.2844 (2.3826) Prec@1 47.266 (45.762) Prec@5 73.828 (71.438)
Epoch: [47][220/5005] Time 0.220 (0.211) Data 0.048 (0.053) Loss 2.3989 (2.3831) Prec@1 44.141 (45.733) Prec@5 71.484 (71.417)
Epoch: [47][230/5005] Time 0.218 (0.212) Data 0.045 (0.052) Loss 2.4459 (2.3830) Prec@1 44.922 (45.772) Prec@5 69.531 (71.423)
Epoch: [47][240/5005] Time 0.222 (0.212) Data 0.042 (0.052) Loss 2.3031 (2.3822) Prec@1 45.703 (45.768) Prec@5 71.484 (71.462)
Epoch: [47][250/5005] Time 0.219 (0.212) Data 0.044 (0.052) Loss 2.6274 (2.3819) Prec@1 43.750 (45.734) Prec@5 67.578 (71.511)
Epoch: [47][260/5005] Time 0.219 (0.212) Data 0.046 (0.051) Loss 2.2110 (2.3813) Prec@1 45.312 (45.735) Prec@5 74.219 (71.501)
Epoch: [47][270/5005] Time 0.206 (0.212) Data 0.043 (0.051) Loss 2.4632 (2.3812) Prec@1 44.531 (45.728) Prec@5 69.922 (71.502)
Epoch: [47][280/5005] Time 0.212 (0.212) Data 0.041 (0.051) Loss 2.6920 (2.3841) Prec@1 42.969 (45.670) Prec@5 64.453 (71.436)
Epoch: [47][290/5005] Time 0.212 (0.213) Data 0.050 (0.051) Loss 2.2665 (2.3854) Prec@1 50.000 (45.679) Prec@5 72.656 (71.402)
Epoch: [47][300/5005] Time 0.210 (0.213) Data 0.042 (0.051) Loss 2.1701 (2.3850) Prec@1 49.609 (45.714) Prec@5 75.781 (71.397)
Epoch: [47][310/5005] Time 0.214 (0.213) Data 0.041 (0.050) Loss 2.2617 (2.3826) Prec@1 44.141 (45.707) Prec@5 71.875 (71.432)
Epoch: [47][320/5005] Time 0.212 (0.213) Data 0.043 (0.050) Loss 2.6675 (2.3838) Prec@1 37.891 (45.721) Prec@5 67.188 (71.413)
Epoch: [47][330/5005] Time 0.213 (0.213) Data 0.046 (0.050) Loss 2.1933 (2.3826) Prec@1 46.875 (45.714) Prec@5 76.172 (71.424)
Epoch: [47][340/5005] Time 0.221 (0.213) Data 0.042 (0.050) Loss 2.4917 (2.3862) Prec@1 44.531 (45.689) Prec@5 70.703 (71.370)
Epoch: [47][350/5005] Time 0.215 (0.213) Data 0.043 (0.050) Loss 2.4773 (2.3859) Prec@1 44.531 (45.711) Prec@5 68.359 (71.373)
Epoch: [47][360/5005] Time 0.205 (0.213) Data 0.044 (0.050) Loss 2.4193 (2.3854) Prec@1 46.094 (45.743) Prec@5 70.312 (71.375)
Epoch: [47][370/5005] Time 0.214 (0.213) Data 0.043 (0.049) Loss 2.3803 (2.3840) Prec@1 46.484 (45.740) Prec@5 71.094 (71.406)
Epoch: [47][380/5005] Time 0.213 (0.213) Data 0.043 (0.049) Loss 2.4677 (2.3844) Prec@1 44.141 (45.709) Prec@5 68.359 (71.386)
Epoch: [47][390/5005] Time 0.210 (0.213) Data 0.040 (0.049) Loss 2.3868 (2.3853) Prec@1 43.750 (45.700) Prec@5 75.781 (71.379)
Epoch: [47][400/5005] Time 0.215 (0.213) Data 0.043 (0.049) Loss 2.3395 (2.3842) Prec@1 45.312 (45.694) Prec@5 72.266 (71.392)
Epoch: [47][410/5005] Time 0.218 (0.213) Data 0.040 (0.049) Loss 2.2507 (2.3841) Prec@1 47.656 (45.689) Prec@5 75.000 (71.421)
Epoch: [47][420/5005] Time 0.201 (0.213) Data 0.042 (0.049) Loss 2.4356 (2.3834) Prec@1 47.266 (45.732) Prec@5 71.875 (71.444)
Epoch: [47][430/5005] Time 0.207 (0.213) Data 0.044 (0.049) Loss 2.2718 (2.3835) Prec@1 50.000 (45.708) Prec@5 73.047 (71.457)
Epoch: [47][440/5005] Time 0.210 (0.213) Data 0.046 (0.049) Loss 2.2725 (2.3825) Prec@1 45.703 (45.733) Prec@5 74.219 (71.469)
Epoch: [47][450/5005] Time 0.209 (0.213) Data 0.051 (0.048) Loss 2.1238 (2.3824) Prec@1 45.703 (45.720) Prec@5 78.125 (71.462)
Epoch: [47][460/5005] Time 0.208 (0.213) Data 0.042 (0.048) Loss 2.3537 (2.3826) Prec@1 42.969 (45.716) Prec@5 69.922 (71.459)
Epoch: [47][470/5005] Time 0.219 (0.213) Data 0.043 (0.048) Loss 2.4597 (2.3827) Prec@1 44.141 (45.707) Prec@5 69.531 (71.433)
Epoch: [47][480/5005] Time 0.218 (0.213) Data 0.048 (0.049) Loss 2.3359 (2.3822) Prec@1 48.828 (45.730) Prec@5 69.141 (71.424)
Epoch: [47][490/5005] Time 0.213 (0.213) Data 0.042 (0.049) Loss 2.3947 (2.3824) Prec@1 51.953 (45.726) Prec@5 70.703 (71.422)
Epoch: [47][500/5005] Time 0.210 (0.213) Data 0.062 (0.049) Loss 2.5534 (2.3844) Prec@1 45.703 (45.720) Prec@5 67.188 (71.387)
Epoch: [47][510/5005] Time 0.211 (0.213) Data 0.047 (0.049) Loss 2.6558 (2.3847) Prec@1 42.188 (45.720) Prec@5 65.625 (71.381)
Epoch: [47][520/5005] Time 0.212 (0.213) Data 0.041 (0.049) Loss 2.4942 (2.3849) Prec@1 42.188 (45.714) Prec@5 67.969 (71.380)
Epoch: [47][530/5005] Time 0.194 (0.213) Data 0.049 (0.049) Loss 2.4883 (2.3849) Prec@1 42.578 (45.725) Prec@5 67.188 (71.373)
Epoch: [47][540/5005] Time 0.225 (0.213) Data 0.045 (0.049) Loss 2.5345 (2.3853) Prec@1 42.578 (45.727) Prec@5 69.531 (71.377)
Epoch: [47][550/5005] Time 0.210 (0.213) Data 0.055 (0.049) Loss 2.3413 (2.3844) Prec@1 43.750 (45.736) Prec@5 75.781 (71.391)
Epoch: [47][560/5005] Time 0.214 (0.213) Data 0.063 (0.049) Loss 2.5414 (2.3850) Prec@1 45.312 (45.740) Prec@5 70.312 (71.393)
Epoch: [47][570/5005] Time 0.206 (0.213) Data 0.043 (0.049) Loss 2.5176 (2.3861) Prec@1 43.359 (45.724) Prec@5 69.531 (71.376)
Epoch: [47][580/5005] Time 0.221 (0.213) Data 0.043 (0.049) Loss 2.4524 (2.3857) Prec@1 41.797 (45.721) Prec@5 70.703 (71.384)
Epoch: [47][590/5005] Time 0.225 (0.213) Data 0.041 (0.049) Loss 2.5570 (2.3858) Prec@1 43.359 (45.726) Prec@5 69.141 (71.363)
Epoch: [47][600/5005] Time 0.216 (0.213) Data 0.048 (0.049) Loss 2.2539 (2.3863) Prec@1 46.875 (45.721) Prec@5 73.047 (71.370)
Epoch: [47][610/5005] Time 0.205 (0.213) Data 0.045 (0.049) Loss 2.4036 (2.3871) Prec@1 46.484 (45.731) Prec@5 71.094 (71.358)
Epoch: [47][620/5005] Time 0.207 (0.212) Data 0.051 (0.049) Loss 2.3733 (2.3863) Prec@1 44.531 (45.757) Prec@5 71.484 (71.370)
Epoch: [47][630/5005] Time 0.220 (0.212) Data 0.049 (0.049) Loss 2.6613 (2.3864) Prec@1 43.359 (45.763) Prec@5 68.359 (71.390)
Epoch: [47][640/5005] Time 0.205 (0.212) Data 0.062 (0.049) Loss 2.2308 (2.3863) Prec@1 48.828 (45.765) Prec@5 71.094 (71.397)
Epoch: [47][650/5005] Time 0.206 (0.212) Data 0.048 (0.049) Loss 2.6048 (2.3874) Prec@1 41.016 (45.748) Prec@5 68.359 (71.399)
Epoch: [47][660/5005] Time 0.217 (0.212) Data 0.045 (0.049) Loss 2.4996 (2.3870) Prec@1 40.625 (45.760) Prec@5 72.656 (71.412)
Epoch: [47][670/5005] Time 0.220 (0.212) Data 0.046 (0.049) Loss 2.8288 (2.3876) Prec@1 37.500 (45.750) Prec@5 64.844 (71.402)
Epoch: [47][680/5005] Time 0.214 (0.212) Data 0.048 (0.049) Loss 2.3294 (2.3876) Prec@1 46.875 (45.759) Prec@5 74.219 (71.402)
Epoch: [47][690/5005] Time 0.215 (0.212) Data 0.061 (0.049) Loss 2.1238 (2.3868) Prec@1 50.000 (45.768) Prec@5 77.344 (71.411)
Epoch: [47][700/5005] Time 0.198 (0.212) Data 0.043 (0.049) Loss 2.5336 (2.3869) Prec@1 40.625 (45.753) Prec@5 67.578 (71.402)
Epoch: [47][710/5005] Time 0.214 (0.212) Data 0.042 (0.049) Loss 2.1835 (2.3865) Prec@1 48.438 (45.753) Prec@5 73.047 (71.404)
Epoch: [47][720/5005] Time 0.217 (0.212) Data 0.049 (0.049) Loss 2.3440 (2.3859) Prec@1 44.531 (45.749) Prec@5 71.094 (71.417)
Epoch: [47][730/5005] Time 0.215 (0.212) Data 0.044 (0.049) Loss 2.4744 (2.3854) Prec@1 44.922 (45.758) Prec@5 71.875 (71.423)
Epoch: [47][740/5005] Time 0.215 (0.212) Data 0.041 (0.049) Loss 2.6161 (2.3854) Prec@1 42.969 (45.776) Prec@5 69.922 (71.418)
Epoch: [47][750/5005] Time 0.204 (0.212) Data 0.046 (0.049) Loss 2.1809 (2.3848) Prec@1 48.438 (45.787) Prec@5 72.656 (71.425)
Epoch: [47][760/5005] Time 0.213 (0.212) Data 0.044 (0.048) Loss 2.4438 (2.3851) Prec@1 44.531 (45.782) Prec@5 71.484 (71.422)
Epoch: [47][770/5005] Time 0.207 (0.212) Data 0.050 (0.048) Loss 2.3823 (2.3840) Prec@1 41.797 (45.798) Prec@5 70.312 (71.429)
Epoch: [47][780/5005] Time 0.199 (0.212) Data 0.049 (0.048) Loss 2.4086 (2.3835) Prec@1 46.094 (45.807) Prec@5 69.141 (71.426)
Epoch: [47][790/5005] Time 0.204 (0.212) Data 0.050 (0.048) Loss 2.2818 (2.3832) Prec@1 49.219 (45.820) Prec@5 72.656 (71.434)
Epoch: [47][800/5005] Time 0.207 (0.212) Data 0.041 (0.048) Loss 2.3510 (2.3827) Prec@1 47.656 (45.826) Prec@5 74.219 (71.445)
Epoch: [47][810/5005] Time 0.208 (0.212) Data 0.051 (0.048) Loss 2.4495 (2.3832) Prec@1 47.266 (45.826) Prec@5 72.656 (71.442)
Epoch: [47][820/5005] Time 0.198 (0.212) Data 0.047 (0.048) Loss 2.4811 (2.3830) Prec@1 45.312 (45.823) Prec@5 67.578 (71.445)
Epoch: [47][830/5005] Time 0.220 (0.212) Data 0.042 (0.048) Loss 2.3850 (2.3831) Prec@1 45.312 (45.822) Prec@5 71.094 (71.431)
Epoch: [47][840/5005] Time 0.224 (0.212) Data 0.042 (0.048) Loss 2.3249 (2.3833) Prec@1 47.656 (45.822) Prec@5 72.266 (71.437)
Epoch: [47][850/5005] Time 0.232 (0.212) Data 0.049 (0.048) Loss 2.5873 (2.3829) Prec@1 43.359 (45.830) Prec@5 69.531 (71.444)
Epoch: [47][860/5005] Time 0.212 (0.212) Data 0.048 (0.048) Loss 2.3727 (2.3828) Prec@1 44.922 (45.836) Prec@5 68.750 (71.450)
Epoch: [47][870/5005] Time 0.221 (0.212) Data 0.045 (0.048) Loss 2.2806 (2.3815) Prec@1 49.219 (45.860) Prec@5 70.703 (71.462)
Epoch: [47][880/5005] Time 0.206 (0.212) Data 0.047 (0.048) Loss 2.3654 (2.3818) Prec@1 44.141 (45.861) Prec@5 69.531 (71.460)
Epoch: [47][890/5005] Time 0.212 (0.212) Data 0.047 (0.048) Loss 2.7246 (2.3812) Prec@1 39.062 (45.871) Prec@5 62.500 (71.459)
Epoch: [47][900/5005] Time 0.213 (0.212) Data 0.043 (0.048) Loss 2.3843 (2.3809) Prec@1 44.531 (45.874) Prec@5 72.266 (71.476)
Epoch: [47][910/5005] Time 0.216 (0.212) Data 0.044 (0.048) Loss 2.3414 (2.3807) Prec@1 47.656 (45.890) Prec@5 71.875 (71.470)
Epoch: [47][920/5005] Time 0.204 (0.212) Data 0.044 (0.048) Loss 2.3420 (2.3795) Prec@1 46.484 (45.915) Prec@5 75.000 (71.491)
Epoch: [47][930/5005] Time 0.210 (0.212) Data 0.046 (0.048) Loss 2.3139 (2.3789) Prec@1 46.484 (45.936) Prec@5 69.531 (71.497)
Epoch: [47][940/5005] Time 0.211 (0.212) Data 0.044 (0.048) Loss 2.2601 (2.3791) Prec@1 46.875 (45.938) Prec@5 75.391 (71.499)
Epoch: [47][950/5005] Time 0.210 (0.212) Data 0.047 (0.048) Loss 2.4518 (2.3795) Prec@1 45.703 (45.941) Prec@5 73.047 (71.505)
Epoch: [47][960/5005] Time 0.215 (0.212) Data 0.044 (0.048) Loss 2.5141 (2.3797) Prec@1 44.141 (45.930) Prec@5 68.359 (71.497)
Epoch: [47][970/5005] Time 0.205 (0.212) Data 0.047 (0.048) Loss 2.2849 (2.3794) Prec@1 46.484 (45.928) Prec@5 74.219 (71.508)
Epoch: [47][980/5005] Time 0.205 (0.212) Data 0.052 (0.048) Loss 2.2320 (2.3787) Prec@1 46.875 (45.952) Prec@5 73.438 (71.522)
Epoch: [47][990/5005] Time 0.212 (0.212) Data 0.061 (0.048) Loss 2.4537 (2.3789) Prec@1 43.750 (45.935) Prec@5 70.703 (71.516)
Epoch: [47][1000/5005] Time 0.222 (0.212) Data 0.046 (0.048) Loss 2.3349 (2.3789) Prec@1 46.094 (45.927) Prec@5 73.438 (71.518)
Epoch: [47][1010/5005] Time 0.206 (0.212) Data 0.046 (0.048) Loss 2.4419 (2.3786) Prec@1 45.703 (45.929) Prec@5 72.266 (71.521)
Epoch: [47][1020/5005] Time 0.198 (0.212) Data 0.047 (0.048) Loss 2.1867 (2.3793) Prec@1 51.953 (45.927) Prec@5 73.438 (71.502)
Epoch: [47][1030/5005] Time 0.200 (0.212) Data 0.045 (0.048) Loss 2.3612 (2.3788) Prec@1 46.094 (45.944) Prec@5 72.656 (71.509)
Epoch: [47][1040/5005] Time 0.217 (0.212) Data 0.046 (0.048) Loss 2.5360 (2.3789) Prec@1 39.062 (45.934) Prec@5 71.875 (71.499)
Epoch: [47][1050/5005] Time 0.213 (0.212) Data 0.042 (0.048) Loss 2.5013 (2.3795) Prec@1 44.531 (45.924) Prec@5 67.969 (71.487)
Epoch: [47][1060/5005] Time 0.210 (0.212) Data 0.044 (0.048) Loss 2.5347 (2.3798) Prec@1 42.188 (45.913) Prec@5 66.406 (71.483)
Epoch: [47][1070/5005] Time 0.211 (0.212) Data 0.046 (0.048) Loss 2.3936 (2.3801) Prec@1 44.141 (45.908) Prec@5 73.828 (71.476)
Epoch: [47][1080/5005] Time 0.210 (0.212) Data 0.050 (0.048) Loss 2.3801 (2.3802) Prec@1 46.484 (45.909) Prec@5 71.875 (71.474)
Epoch: [47][1090/5005] Time 0.203 (0.212) Data 0.052 (0.048) Loss 2.3248 (2.3799) Prec@1 45.312 (45.913) Prec@5 71.875 (71.480)
Epoch: [47][1100/5005] Time 0.202 (0.212) Data 0.061 (0.048) Loss 2.2428 (2.3794) Prec@1 48.047 (45.917) Prec@5 72.266 (71.492)
Epoch: [47][1110/5005] Time 0.213 (0.212) Data 0.044 (0.048) Loss 2.4133 (2.3796) Prec@1 46.875 (45.915) Prec@5 70.312 (71.490)
Epoch: [47][1120/5005] Time 0.213 (0.212) Data 0.049 (0.048) Loss 2.2211 (2.3788) Prec@1 48.828 (45.936) Prec@5 73.438 (71.505)
Epoch: [47][1130/5005] Time 0.209 (0.212) Data 0.051 (0.048) Loss 2.4105 (2.3791) Prec@1 46.875 (45.941) Prec@5 71.875 (71.497)
Epoch: [47][1140/5005] Time 0.216 (0.212) Data 0.047 (0.048) Loss 2.4841 (2.3789) Prec@1 44.531 (45.947) Prec@5 70.312 (71.501)
Epoch: [47][1150/5005] Time 0.210 (0.212) Data 0.047 (0.048) Loss 2.3172 (2.3783) Prec@1 44.922 (45.954) Prec@5 72.266 (71.515)
Epoch: [47][1160/5005] Time 0.211 (0.212) Data 0.047 (0.048) Loss 2.3592 (2.3785) Prec@1 44.531 (45.944) Prec@5 71.484 (71.507)
Epoch: [47][1170/5005] Time 0.207 (0.212) Data 0.051 (0.048) Loss 2.3647 (2.3786) Prec@1 48.438 (45.945) Prec@5 72.656 (71.504)
Epoch: [47][1180/5005] Time 0.211 (0.212) Data 0.048 (0.048) Loss 2.4623 (2.3782) Prec@1 45.703 (45.945) Prec@5 69.531 (71.511)
Epoch: [47][1190/5005] Time 0.199 (0.212) Data 0.051 (0.048) Loss 2.3064 (2.3777) Prec@1 45.703 (45.942) Prec@5 69.922 (71.515)
Epoch: [47][1200/5005] Time 0.205 (0.212) Data 0.050 (0.048) Loss 2.4642 (2.3777) Prec@1 42.969 (45.937) Prec@5 70.703 (71.518)
Epoch: [47][1210/5005] Time 0.226 (0.212) Data 0.046 (0.048) Loss 2.3922 (2.3781) Prec@1 46.484 (45.942) Prec@5 72.656 (71.511)
Epoch: [47][1220/5005] Time 0.213 (0.212) Data 0.048 (0.048) Loss 2.4297 (2.3784) Prec@1 44.531 (45.938) Prec@5 72.266 (71.508)
Epoch: [47][1230/5005] Time 0.215 (0.212) Data 0.040 (0.048) Loss 2.2938 (2.3786) Prec@1 50.781 (45.930) Prec@5 73.047 (71.506)
Epoch: [47][1240/5005] Time 0.214 (0.212) Data 0.042 (0.048) Loss 2.4045 (2.3785) Prec@1 44.922 (45.931) Prec@5 70.312 (71.498)
Epoch: [47][1250/5005] Time 0.213 (0.212) Data 0.043 (0.048) Loss 2.6057 (2.3790) Prec@1 41.406 (45.924) Prec@5 65.234 (71.485)
Epoch: [47][1260/5005] Time 0.208 (0.212) Data 0.046 (0.048) Loss 2.1068 (2.3783) Prec@1 50.781 (45.928) Prec@5 78.125 (71.496)
Epoch: [47][1270/5005] Time 0.215 (0.212) Data 0.046 (0.048) Loss 2.5514 (2.3788) Prec@1 42.969 (45.923) Prec@5 67.578 (71.483)
Epoch: [47][1280/5005] Time 0.213 (0.212) Data 0.048 (0.048) Loss 2.4035 (2.3793) Prec@1 47.656 (45.918) Prec@5 73.438 (71.479)
Epoch: [47][1290/5005] Time 0.214 (0.212) Data 0.042 (0.048) Loss 2.2587 (2.3790) Prec@1 47.266 (45.926) Prec@5 73.438 (71.481)
Epoch: [47][1300/5005] Time 0.217 (0.212) Data 0.043 (0.048) Loss 2.3094 (2.3789) Prec@1 49.219 (45.931) Prec@5 71.094 (71.478)
Epoch: [47][1310/5005] Time 0.204 (0.212) Data 0.047 (0.048) Loss 2.3948 (2.3790) Prec@1 48.438 (45.922) Prec@5 71.484 (71.481)
Epoch: [47][1320/5005] Time 0.207 (0.212) Data 0.057 (0.048) Loss 2.4273 (2.3791) Prec@1 45.312 (45.927) Prec@5 70.703 (71.481)
Epoch: [47][1330/5005] Time 0.211 (0.212) Data 0.044 (0.048) Loss 2.5821 (2.3798) Prec@1 41.016 (45.917) Prec@5 70.703 (71.473)
Epoch: [47][1340/5005] Time 0.216 (0.211) Data 0.045 (0.048) Loss 2.3157 (2.3795) Prec@1 45.312 (45.924) Prec@5 72.266 (71.479)
Epoch: [47][1350/5005] Time 0.217 (0.211) Data 0.044 (0.048) Loss 2.8606 (2.3801) Prec@1 42.188 (45.903) Prec@5 65.234 (71.469)
Epoch: [47][1360/5005] Time 0.207 (0.211) Data 0.048 (0.048) Loss 2.1730 (2.3800) Prec@1 47.656 (45.913) Prec@5 74.219 (71.469)
Epoch: [47][1370/5005] Time 0.206 (0.211) Data 0.047 (0.048) Loss 2.4621 (2.3795) Prec@1 42.188 (45.925) Prec@5 73.047 (71.480)
Epoch: [47][1380/5005] Time 0.207 (0.211) Data 0.041 (0.048) Loss 2.4206 (2.3793) Prec@1 47.656 (45.931) Prec@5 72.266 (71.489)
Epoch: [47][1390/5005] Time 0.207 (0.211) Data 0.042 (0.048) Loss 2.2668 (2.3792) Prec@1 48.047 (45.935) Prec@5 75.000 (71.491)
Epoch: [47][1400/5005] Time 0.199 (0.211) Data 0.068 (0.048) Loss 2.3187 (2.3782) Prec@1 51.953 (45.954) Prec@5 70.312 (71.506)
Epoch: [47][1410/5005] Time 0.208 (0.211) Data 0.038 (0.048) Loss 2.2804 (2.3780) Prec@1 48.047 (45.968) Prec@5 76.953 (71.512)
Epoch: [47][1420/5005] Time 0.205 (0.211) Data 0.049 (0.048) Loss 2.4753 (2.3781) Prec@1 45.312 (45.968) Prec@5 68.750 (71.513)
Epoch: [47][1430/5005] Time 0.219 (0.211) Data 0.046 (0.048) Loss 2.1979 (2.3778) Prec@1 49.219 (45.977) Prec@5 74.219 (71.515)
Epoch: [47][1440/5005] Time 0.213 (0.211) Data 0.050 (0.048) Loss 2.1179 (2.3777) Prec@1 50.781 (45.977) Prec@5 76.172 (71.518)
Epoch: [47][1450/5005] Time 0.214 (0.211) Data 0.044 (0.048) Loss 2.3247 (2.3776) Prec@1 46.875 (45.985) Prec@5 71.875 (71.514)
Epoch: [47][1460/5005] Time 0.202 (0.211) Data 0.044 (0.048) Loss 2.4763 (2.3775) Prec@1 42.578 (45.991) Prec@5 67.969 (71.514)
Epoch: [47][1470/5005] Time 0.201 (0.211) Data 0.051 (0.048) Loss 2.4403 (2.3779) Prec@1 44.141 (45.985) Prec@5 69.141 (71.506)
Epoch: [47][1480/5005] Time 0.211 (0.211) Data 0.045 (0.048) Loss 2.2715 (2.3782) Prec@1 48.438 (45.979) Prec@5 71.875 (71.500)
Epoch: [47][1490/5005] Time 0.212 (0.211) Data 0.043 (0.048) Loss 2.5697 (2.3779) Prec@1 43.750 (45.981) Prec@5 69.141 (71.504)
Epoch: [47][1500/5005] Time 0.206 (0.211) Data 0.042 (0.048) Loss 2.3733 (2.3777) Prec@1 47.656 (45.989) Prec@5 71.094 (71.508)
Epoch: [47][1510/5005] Time 0.200 (0.211) Data 0.043 (0.048) Loss 2.3372 (2.3779) Prec@1 45.312 (45.991) Prec@5 69.922 (71.500)
Epoch: [47][1520/5005] Time 0.214 (0.211) Data 0.044 (0.048) Loss 2.3508 (2.3778) Prec@1 47.656 (45.997) Prec@5 74.219 (71.502)
Epoch: [47][1530/5005] Time 0.207 (0.211) Data 0.043 (0.048) Loss 2.4888 (2.3778) Prec@1 45.703 (46.001) Prec@5 67.188 (71.500)
Epoch: [47][1540/5005] Time 0.203 (0.211) Data 0.049 (0.048) Loss 2.5045 (2.3780) Prec@1 44.141 (46.000) Prec@5 64.844 (71.491)
Epoch: [47][1550/5005] Time 0.213 (0.211) Data 0.049 (0.048) Loss 2.2723 (2.3778) Prec@1 48.438 (46.002) Prec@5 74.219 (71.492)
Epoch: [47][1560/5005] Time 0.216 (0.211) Data 0.043 (0.048) Loss 2.2837 (2.3779) Prec@1 45.703 (45.992) Prec@5 73.438 (71.495)
Epoch: [47][1570/5005] Time 0.213 (0.211) Data 0.046 (0.048) Loss 2.3074 (2.3776) Prec@1 47.266 (46.006) Prec@5 71.094 (71.499)
Epoch: [47][1580/5005] Time 0.212 (0.211) Data 0.043 (0.048) Loss 2.2408 (2.3779) Prec@1 46.875 (45.998) Prec@5 73.047 (71.485)
Epoch: [47][1590/5005] Time 0.210 (0.211) Data 0.043 (0.048) Loss 2.4409 (2.3783) Prec@1 45.703 (45.988) Prec@5 68.750 (71.476)
Epoch: [47][1600/5005] Time 0.200 (0.211) Data 0.042 (0.048) Loss 2.4012 (2.3784) Prec@1 45.703 (45.984) Prec@5 70.312 (71.477)
Epoch: [47][1610/5005] Time 0.216 (0.211) Data 0.049 (0.048) Loss 2.3781 (2.3783) Prec@1 46.875 (45.988) Prec@5 69.531 (71.476)
Epoch: [47][1620/5005] Time 0.209 (0.211) Data 0.042 (0.048) Loss 2.5634 (2.3783) Prec@1 43.359 (45.987) Prec@5 68.750 (71.477)
Epoch: [47][1630/5005] Time 0.214 (0.211) Data 0.044 (0.048) Loss 2.2694 (2.3785) Prec@1 46.484 (45.987) Prec@5 73.828 (71.472)
Epoch: [47][1640/5005] Time 0.218 (0.211) Data 0.043 (0.048) Loss 2.6144 (2.3786) Prec@1 45.703 (45.987) Prec@5 66.016 (71.464)
Epoch: [47][1650/5005] Time 0.214 (0.211) Data 0.067 (0.048) Loss 2.5160 (2.3787) Prec@1 46.484 (45.992) Prec@5 67.188 (71.460)
Epoch: [47][1660/5005] Time 0.215 (0.211) Data 0.052 (0.048) Loss 2.3690 (2.3780) Prec@1 48.047 (46.006) Prec@5 71.875 (71.468)
Epoch: [47][1670/5005] Time 0.199 (0.211) Data 0.058 (0.048) Loss 2.1216 (2.3780) Prec@1 50.000 (46.005) Prec@5 74.219 (71.467)
Epoch: [47][1680/5005] Time 0.212 (0.211) Data 0.057 (0.048) Loss 2.6562 (2.3784) Prec@1 42.188 (46.000) Prec@5 63.672 (71.458)
Epoch: [47][1690/5005] Time 0.204 (0.211) Data 0.054 (0.048) Loss 2.1933 (2.3783) Prec@1 48.047 (46.003) Prec@5 76.562 (71.463)
Epoch: [47][1700/5005] Time 0.213 (0.211) Data 0.044 (0.048) Loss 2.2653 (2.3781) Prec@1 49.219 (46.004) Prec@5 74.609 (71.466)
Epoch: [47][1710/5005] Time 0.214 (0.211) Data 0.046 (0.048) Loss 2.1975 (2.3776) Prec@1 49.219 (46.008) Prec@5 73.438 (71.475)
Epoch: [47][1720/5005] Time 0.216 (0.211) Data 0.041 (0.048) Loss 2.3750 (2.3776) Prec@1 39.844 (46.004) Prec@5 73.047 (71.476)
Epoch: [47][1730/5005] Time 0.202 (0.211) Data 0.058 (0.048) Loss 2.3652 (2.3777) Prec@1 45.703 (46.002) Prec@5 74.219 (71.475)
Epoch: [47][1740/5005] Time 0.201 (0.211) Data 0.047 (0.048) Loss 2.5229 (2.3775) Prec@1 40.234 (46.002) Prec@5 67.188 (71.478)
Epoch: [47][1750/5005] Time 0.219 (0.211) Data 0.043 (0.048) Loss 2.3244 (2.3772) Prec@1 41.797 (46.009) Prec@5 70.703 (71.483)
Epoch: [47][1760/5005] Time 0.214 (0.211) Data 0.044 (0.048) Loss 2.2812 (2.3770) Prec@1 44.922 (46.011) Prec@5 73.438 (71.488)
Epoch: [47][1770/5005] Time 0.208 (0.211) Data 0.064 (0.048) Loss 2.4044 (2.3767) Prec@1 42.969 (46.011) Prec@5 73.438 (71.497)
Epoch: [47][1780/5005] Time 0.213 (0.211) Data 0.042 (0.048) Loss 2.0849 (2.3762) Prec@1 50.781 (46.019) Prec@5 77.344 (71.506)
Epoch: [47][1790/5005] Time 0.215 (0.211) Data 0.043 (0.048) Loss 2.1445 (2.3760) Prec@1 52.734 (46.023) Prec@5 76.953 (71.511)
Epoch: [47][1800/5005] Time 0.198 (0.211) Data 0.047 (0.048) Loss 2.3425 (2.3757) Prec@1 46.094 (46.035) Prec@5 71.875 (71.520)
Epoch: [47][1810/5005] Time 0.203 (0.211) Data 0.064 (0.048) Loss 2.3332 (2.3755) Prec@1 47.656 (46.034) Prec@5 71.875 (71.523)
Epoch: [47][1820/5005] Time 0.210 (0.211) Data 0.043 (0.048) Loss 2.4032 (2.3754) Prec@1 46.484 (46.036) Prec@5 72.656 (71.525)
Epoch: [47][1830/5005] Time 0.216 (0.211) Data 0.044 (0.048) Loss 2.1978 (2.3751) Prec@1 50.781 (46.040) Prec@5 72.656 (71.527)
Epoch: [47][1840/5005] Time 0.211 (0.211) Data 0.044 (0.048) Loss 2.4899 (2.3748) Prec@1 45.312 (46.053) Prec@5 70.312 (71.530)
Epoch: [47][1850/5005] Time 0.211 (0.211) Data 0.045 (0.048) Loss 2.2917 (2.3745) Prec@1 46.875 (46.059) Prec@5 72.656 (71.533)
Epoch: [47][1860/5005] Time 0.209 (0.211) Data 0.061 (0.048) Loss 2.2744 (2.3745) Prec@1 47.266 (46.060) Prec@5 73.438 (71.535)
Epoch: [47][1870/5005] Time 0.213 (0.211) Data 0.041 (0.048) Loss 2.5283 (2.3750) Prec@1 39.453 (46.050) Prec@5 68.750 (71.531)
Epoch: [47][1880/5005] Time 0.204 (0.211) Data 0.057 (0.048) Loss 2.4364 (2.3750) Prec@1 41.016 (46.050) Prec@5 69.531 (71.532)
Epoch: [47][1890/5005] Time 0.206 (0.211) Data 0.048 (0.048) Loss 2.3696 (2.3751) Prec@1 45.703 (46.046) Prec@5 71.875 (71.529)
Epoch: [47][1900/5005] Time 0.214 (0.211) Data 0.043 (0.048) Loss 2.4247 (2.3755) Prec@1 46.875 (46.043) Prec@5 70.703 (71.519)
Epoch: [47][1910/5005] Time 0.206 (0.211) Data 0.043 (0.048) Loss 2.3548 (2.3754) Prec@1 46.875 (46.040) Prec@5 73.438 (71.524)
Epoch: [47][1920/5005] Time 0.206 (0.211) Data 0.041 (0.048) Loss 2.1004 (2.3751) Prec@1 48.047 (46.036) Prec@5 77.734 (71.529)
Epoch: [47][1930/5005] Time 0.209 (0.211) Data 0.042 (0.048) Loss 2.3610 (2.3749) Prec@1 47.656 (46.039) Prec@5 69.922 (71.536)
Epoch: [47][1940/5005] Time 0.208 (0.211) Data 0.043 (0.048) Loss 2.2451 (2.3746) Prec@1 50.391 (46.042) Prec@5 73.047 (71.539)
Epoch: [47][1950/5005] Time 0.207 (0.211) Data 0.039 (0.048) Loss 2.3984 (2.3745) Prec@1 46.484 (46.043) Prec@5 73.438 (71.538)
Epoch: [47][1960/5005] Time 0.209 (0.211) Data 0.044 (0.048) Loss 2.3557 (2.3745) Prec@1 46.484 (46.038) Prec@5 72.266 (71.543)
Epoch: [47][1970/5005] Time 0.211 (0.211) Data 0.052 (0.048) Loss 2.4557 (2.3747) Prec@1 46.484 (46.034) Prec@5 69.141 (71.538)
Epoch: [47][1980/5005] Time 0.207 (0.211) Data 0.042 (0.048) Loss 2.1783 (2.3745) Prec@1 50.000 (46.040) Prec@5 73.828 (71.542)
Epoch: [47][1990/5005] Time 0.201 (0.211) Data 0.042 (0.048) Loss 2.2564 (2.3742) Prec@1 49.219 (46.041) Prec@5 74.219 (71.539)
Epoch: [47][2000/5005] Time 0.193 (0.211) Data 0.055 (0.048) Loss 2.3108 (2.3744) Prec@1 48.828 (46.044) Prec@5 72.266 (71.538)
Epoch: [47][2010/5005] Time 0.206 (0.211) Data 0.041 (0.048) Loss 2.2838 (2.3744) Prec@1 46.875 (46.043) Prec@5 74.219 (71.539)
Epoch: [47][2020/5005] Time 0.204 (0.211) Data 0.044 (0.048) Loss 2.2947 (2.3745) Prec@1 48.828 (46.043) Prec@5 73.438 (71.540)
Epoch: [47][2030/5005] Time 0.211 (0.211) Data 0.043 (0.048) Loss 2.3712 (2.3745) Prec@1 43.359 (46.042) Prec@5 71.875 (71.541)
Epoch: [47][2040/5005] Time 0.201 (0.211) Data 0.043 (0.048) Loss 2.0971 (2.3742) Prec@1 48.047 (46.042) Prec@5 74.609 (71.549)
Epoch: [47][2050/5005] Time 0.211 (0.211) Data 0.046 (0.048) Loss 2.5669 (2.3741) Prec@1 43.750 (46.047) Prec@5 69.531 (71.553)
Epoch: [47][2060/5005] Time 0.199 (0.211) Data 0.047 (0.048) Loss 2.4750 (2.3743) Prec@1 42.969 (46.037) Prec@5 69.141 (71.544)
Epoch: [47][2070/5005] Time 0.210 (0.211) Data 0.047 (0.048) Loss 2.5463 (2.3746) Prec@1 39.062 (46.035) Prec@5 66.406 (71.531)
Epoch: [47][2080/5005] Time 0.208 (0.211) Data 0.048 (0.048) Loss 2.4176 (2.3746) Prec@1 45.312 (46.030) Prec@5 73.438 (71.533)
Epoch: [47][2090/5005] Time 0.212 (0.211) Data 0.047 (0.048) Loss 2.1935 (2.3740) Prec@1 51.172 (46.041) Prec@5 75.000 (71.543)
Epoch: [47][2100/5005] Time 0.216 (0.211) Data 0.046 (0.048) Loss 2.3850 (2.3739) Prec@1 46.094 (46.042) Prec@5 72.656 (71.543)
Epoch: [47][2110/5005] Time 0.208 (0.211) Data 0.044 (0.048) Loss 2.3641 (2.3740) Prec@1 46.875 (46.046) Prec@5 69.922 (71.538)
Epoch: [47][2120/5005] Time 0.213 (0.211) Data 0.043 (0.048) Loss 2.4476 (2.3740) Prec@1 44.922 (46.042) Prec@5 68.359 (71.537)
Epoch: [47][2130/5005] Time 0.207 (0.211) Data 0.049 (0.048) Loss 2.3163 (2.3735) Prec@1 47.656 (46.052) Prec@5 70.703 (71.546)
Epoch: [47][2140/5005] Time 0.203 (0.211) Data 0.046 (0.048) Loss 2.3355 (2.3736) Prec@1 46.875 (46.049) Prec@5 74.219 (71.544)
Epoch: [47][2150/5005] Time 0.213 (0.211) Data 0.041 (0.048) Loss 2.1576 (2.3734) Prec@1 51.562 (46.058) Prec@5 72.656 (71.548)
Epoch: [47][2160/5005] Time 0.213 (0.211) Data 0.043 (0.048) Loss 2.2565 (2.3735) Prec@1 48.047 (46.054) Prec@5 72.656 (71.548)
Epoch: [47][2170/5005] Time 0.211 (0.211) Data 0.043 (0.048) Loss 2.2613 (2.3731) Prec@1 48.438 (46.064) Prec@5 74.609 (71.555)
Epoch: [47][2180/5005] Time 0.206 (0.211) Data 0.052 (0.048) Loss 2.3548 (2.3731) Prec@1 47.266 (46.064) Prec@5 71.484 (71.558)
Epoch: [47][2190/5005] Time 0.201 (0.211) Data 0.057 (0.048) Loss 2.5873 (2.3732) Prec@1 44.141 (46.063) Prec@5 66.797 (71.557)
Epoch: [47][2200/5005] Time 0.218 (0.211) Data 0.045 (0.048) Loss 2.4500 (2.3735) Prec@1 44.141 (46.058) Prec@5 70.312 (71.559)
Epoch: [47][2210/5005] Time 0.205 (0.210) Data 0.047 (0.048) Loss 2.4600 (2.3738) Prec@1 43.359 (46.056) Prec@5 69.531 (71.557)
Epoch: [47][2220/5005] Time 0.197 (0.210) Data 0.055 (0.048) Loss 2.5876 (2.3738) Prec@1 44.531 (46.050) Prec@5 68.750 (71.555)
Epoch: [47][2230/5005] Time 0.213 (0.210) Data 0.044 (0.048) Loss 2.3821 (2.3739) Prec@1 48.828 (46.049) Prec@5 71.484 (71.554)
Epoch: [47][2240/5005] Time 0.206 (0.210) Data 0.043 (0.048) Loss 2.4085 (2.3740) Prec@1 46.484 (46.051) Prec@5 74.219 (71.556)
Epoch: [47][2250/5005] Time 0.210 (0.210) Data 0.045 (0.048) Loss 2.2742 (2.3740) Prec@1 44.141 (46.051) Prec@5 72.656 (71.557)
Epoch: [47][2260/5005] Time 0.211 (0.210) Data 0.042 (0.048) Loss 2.3536 (2.3738) Prec@1 47.656 (46.052) Prec@5 71.875 (71.561)
Epoch: [47][2270/5005] Time 0.214 (0.210) Data 0.043 (0.048) Loss 2.5977 (2.3738) Prec@1 39.844 (46.052) Prec@5 67.969 (71.562)
Epoch: [47][2280/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.5031 (2.3739) Prec@1 45.703 (46.053) Prec@5 70.312 (71.562)
Epoch: [47][2290/5005] Time 0.197 (0.210) Data 0.043 (0.048) Loss 2.4303 (2.3738) Prec@1 48.047 (46.061) Prec@5 71.875 (71.562)
Epoch: [47][2300/5005] Time 0.201 (0.210) Data 0.043 (0.048) Loss 2.3411 (2.3739) Prec@1 45.312 (46.058) Prec@5 70.703 (71.562)
Epoch: [47][2310/5005] Time 0.201 (0.210) Data 0.042 (0.048) Loss 2.2324 (2.3737) Prec@1 48.047 (46.065) Prec@5 73.438 (71.563)
Epoch: [47][2320/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.4422 (2.3735) Prec@1 48.438 (46.074) Prec@5 71.875 (71.564)
Epoch: [47][2330/5005] Time 0.214 (0.210) Data 0.045 (0.048) Loss 2.3486 (2.3732) Prec@1 47.656 (46.082) Prec@5 71.484 (71.570)
Epoch: [47][2340/5005] Time 0.211 (0.210) Data 0.049 (0.048) Loss 2.3374 (2.3729) Prec@1 46.094 (46.093) Prec@5 74.609 (71.577)
Epoch: [47][2350/5005] Time 0.204 (0.210) Data 0.042 (0.048) Loss 2.2896 (2.3727) Prec@1 49.609 (46.096) Prec@5 70.703 (71.578)
Epoch: [47][2360/5005] Time 0.212 (0.210) Data 0.041 (0.048) Loss 2.2047 (2.3727) Prec@1 47.656 (46.098) Prec@5 73.438 (71.577)
Epoch: [47][2370/5005] Time 0.211 (0.210) Data 0.045 (0.048) Loss 2.4474 (2.3728) Prec@1 45.703 (46.094) Prec@5 69.141 (71.573)
Epoch: [47][2380/5005] Time 0.217 (0.210) Data 0.044 (0.048) Loss 2.4520 (2.3727) Prec@1 45.312 (46.098) Prec@5 70.703 (71.577)
Epoch: [47][2390/5005] Time 0.204 (0.210) Data 0.053 (0.048) Loss 2.4090 (2.3727) Prec@1 42.969 (46.100) Prec@5 67.969 (71.576)
Epoch: [47][2400/5005] Time 0.201 (0.210) Data 0.047 (0.048) Loss 2.2858 (2.3728) Prec@1 47.266 (46.098) Prec@5 69.922 (71.575)
Epoch: [47][2410/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.5310 (2.3728) Prec@1 42.188 (46.098) Prec@5 69.922 (71.574)
Epoch: [47][2420/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.4795 (2.3725) Prec@1 46.094 (46.102) Prec@5 73.047 (71.578)
Epoch: [47][2430/5005] Time 0.200 (0.210) Data 0.043 (0.048) Loss 2.2106 (2.3726) Prec@1 49.219 (46.103) Prec@5 73.438 (71.574)
Epoch: [47][2440/5005] Time 0.203 (0.210) Data 0.044 (0.048) Loss 2.1106 (2.3723) Prec@1 51.953 (46.107) Prec@5 78.516 (71.577)
Epoch: [47][2450/5005] Time 0.214 (0.210) Data 0.046 (0.048) Loss 2.2765 (2.3722) Prec@1 45.703 (46.111) Prec@5 73.438 (71.578)
Epoch: [47][2460/5005] Time 0.200 (0.210) Data 0.059 (0.048) Loss 2.3772 (2.3720) Prec@1 45.312 (46.113) Prec@5 70.312 (71.577)
Epoch: [47][2470/5005] Time 0.205 (0.210) Data 0.047 (0.048) Loss 2.2224 (2.3719) Prec@1 49.219 (46.116) Prec@5 73.438 (71.578)
Epoch: [47][2480/5005] Time 0.202 (0.210) Data 0.059 (0.048) Loss 2.5553 (2.3720) Prec@1 42.969 (46.112) Prec@5 69.141 (71.574)
Epoch: [47][2490/5005] Time 0.206 (0.210) Data 0.049 (0.048) Loss 2.1420 (2.3721) Prec@1 46.875 (46.107) Prec@5 77.734 (71.576)
Epoch: [47][2500/5005] Time 0.202 (0.210) Data 0.045 (0.048) Loss 2.3873 (2.3722) Prec@1 47.266 (46.105) Prec@5 69.531 (71.571)
Epoch: [47][2510/5005] Time 0.211 (0.210) Data 0.041 (0.048) Loss 2.5588 (2.3723) Prec@1 37.109 (46.097) Prec@5 69.531 (71.569)
Epoch: [47][2520/5005] Time 0.209 (0.210) Data 0.046 (0.048) Loss 2.3001 (2.3723) Prec@1 46.094 (46.096) Prec@5 72.656 (71.568)
Epoch: [47][2530/5005] Time 0.215 (0.210) Data 0.042 (0.048) Loss 2.5108 (2.3724) Prec@1 45.312 (46.094) Prec@5 67.969 (71.564)
Epoch: [47][2540/5005] Time 0.203 (0.210) Data 0.042 (0.048) Loss 2.4211 (2.3725) Prec@1 44.531 (46.093) Prec@5 69.922 (71.562)
Epoch: [47][2550/5005] Time 0.213 (0.210) Data 0.047 (0.048) Loss 2.3845 (2.3726) Prec@1 45.703 (46.090) Prec@5 71.875 (71.563)
Epoch: [47][2560/5005] Time 0.207 (0.210) Data 0.063 (0.048) Loss 2.6255 (2.3726) Prec@1 42.188 (46.088) Prec@5 66.406 (71.559)
Epoch: [47][2570/5005] Time 0.205 (0.210) Data 0.059 (0.048) Loss 2.4263 (2.3727) Prec@1 46.875 (46.087) Prec@5 71.875 (71.555)
Epoch: [47][2580/5005] Time 0.204 (0.210) Data 0.048 (0.048) Loss 2.3871 (2.3730) Prec@1 48.828 (46.078) Prec@5 69.531 (71.552)
Epoch: [47][2590/5005] Time 0.216 (0.210) Data 0.041 (0.048) Loss 2.4240 (2.3728) Prec@1 49.609 (46.081) Prec@5 71.484 (71.554)
Epoch: [47][2600/5005] Time 0.205 (0.210) Data 0.042 (0.048) Loss 2.4710 (2.3731) Prec@1 44.922 (46.077) Prec@5 71.484 (71.553)
Epoch: [47][2610/5005] Time 0.207 (0.210) Data 0.043 (0.048) Loss 2.5251 (2.3728) Prec@1 44.141 (46.083) Prec@5 66.406 (71.554)
Epoch: [47][2620/5005] Time 0.201 (0.210) Data 0.060 (0.048) Loss 2.3001 (2.3727) Prec@1 44.922 (46.085) Prec@5 73.047 (71.557)
Epoch: [47][2630/5005] Time 0.198 (0.210) Data 0.044 (0.048) Loss 2.4549 (2.3730) Prec@1 42.188 (46.082) Prec@5 71.094 (71.550)
Epoch: [47][2640/5005] Time 0.200 (0.210) Data 0.059 (0.048) Loss 2.5280 (2.3730) Prec@1 40.625 (46.082) Prec@5 66.406 (71.551)
Epoch: [47][2650/5005] Time 0.207 (0.210) Data 0.059 (0.048) Loss 2.5457 (2.3729) Prec@1 44.922 (46.087) Prec@5 68.750 (71.551)
Epoch: [47][2660/5005] Time 0.202 (0.210) Data 0.060 (0.048) Loss 2.3004 (2.3729) Prec@1 44.141 (46.088) Prec@5 74.219 (71.550)
Epoch: [47][2670/5005] Time 0.201 (0.210) Data 0.048 (0.048) Loss 2.0854 (2.3725) Prec@1 46.875 (46.091) Prec@5 75.000 (71.553)
Epoch: [47][2680/5005] Time 0.208 (0.210) Data 0.044 (0.048) Loss 2.3071 (2.3726) Prec@1 48.438 (46.085) Prec@5 73.047 (71.551)
Epoch: [47][2690/5005] Time 0.196 (0.210) Data 0.062 (0.048) Loss 2.2170 (2.3723) Prec@1 51.953 (46.090) Prec@5 72.656 (71.556)
Epoch: [47][2700/5005] Time 0.213 (0.210) Data 0.042 (0.048) Loss 2.1883 (2.3724) Prec@1 48.828 (46.087) Prec@5 72.266 (71.553)
Epoch: [47][2710/5005] Time 0.213 (0.210) Data 0.044 (0.048) Loss 2.1283 (2.3724) Prec@1 51.172 (46.085) Prec@5 75.000 (71.553)
Epoch: [47][2720/5005] Time 0.201 (0.210) Data 0.042 (0.048) Loss 2.1570 (2.3723) Prec@1 51.172 (46.085) Prec@5 76.172 (71.554)
Epoch: [47][2730/5005] Time 0.213 (0.210) Data 0.048 (0.048) Loss 2.4908 (2.3721) Prec@1 44.922 (46.091) Prec@5 69.141 (71.556)
Epoch: [47][2740/5005] Time 0.205 (0.210) Data 0.055 (0.048) Loss 2.2063 (2.3721) Prec@1 51.953 (46.095) Prec@5 76.562 (71.559)
Epoch: [47][2750/5005] Time 0.211 (0.210) Data 0.046 (0.048) Loss 2.4189 (2.3720) Prec@1 42.969 (46.095) Prec@5 67.578 (71.555)
Epoch: [47][2760/5005] Time 0.201 (0.210) Data 0.048 (0.048) Loss 2.3870 (2.3718) Prec@1 48.047 (46.100) Prec@5 74.609 (71.559)
Epoch: [47][2770/5005] Time 0.204 (0.210) Data 0.045 (0.048) Loss 2.2607 (2.3719) Prec@1 47.656 (46.098) Prec@5 75.000 (71.562)
Epoch: [47][2780/5005] Time 0.206 (0.210) Data 0.063 (0.048) Loss 2.6081 (2.3718) Prec@1 41.797 (46.102) Prec@5 67.188 (71.563)
Epoch: [47][2790/5005] Time 0.209 (0.210) Data 0.065 (0.048) Loss 2.6492 (2.3718) Prec@1 38.281 (46.104) Prec@5 69.922 (71.563)
Epoch: [47][2800/5005] Time 0.210 (0.210) Data 0.052 (0.048) Loss 2.0705 (2.3718) Prec@1 53.125 (46.106) Prec@5 78.125 (71.564)
Epoch: [47][2810/5005] Time 0.214 (0.210) Data 0.046 (0.048) Loss 2.5189 (2.3719) Prec@1 45.312 (46.104) Prec@5 69.531 (71.563)
Epoch: [47][2820/5005] Time 0.211 (0.210) Data 0.048 (0.048) Loss 2.0678 (2.3717) Prec@1 47.266 (46.107) Prec@5 74.609 (71.565)
Epoch: [47][2830/5005] Time 0.206 (0.210) Data 0.050 (0.048) Loss 2.5386 (2.3717) Prec@1 43.359 (46.108) Prec@5 69.922 (71.565)
Epoch: [47][2840/5005] Time 0.210 (0.210) Data 0.042 (0.048) Loss 2.4229 (2.3717) Prec@1 46.094 (46.105) Prec@5 69.922 (71.565)
Epoch: [47][2850/5005] Time 0.216 (0.210) Data 0.044 (0.048) Loss 2.3184 (2.3715) Prec@1 46.875 (46.107) Prec@5 72.656 (71.569)
Epoch: [47][2860/5005] Time 0.197 (0.210) Data 0.044 (0.048) Loss 2.4107 (2.3716) Prec@1 47.266 (46.107) Prec@5 69.922 (71.570)
Epoch: [47][2870/5005] Time 0.202 (0.210) Data 0.044 (0.048) Loss 2.2467 (2.3712) Prec@1 46.875 (46.116) Prec@5 75.000 (71.577)
Epoch: [47][2880/5005] Time 0.207 (0.210) Data 0.041 (0.048) Loss 2.4012 (2.3714) Prec@1 44.922 (46.111) Prec@5 73.438 (71.572)
Epoch: [47][2890/5005] Time 0.209 (0.210) Data 0.045 (0.048) Loss 2.3887 (2.3712) Prec@1 46.484 (46.116) Prec@5 71.094 (71.572)
Epoch: [47][2900/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.1751 (2.3711) Prec@1 48.438 (46.116) Prec@5 74.219 (71.577)
Epoch: [47][2910/5005] Time 0.206 (0.210) Data 0.043 (0.048) Loss 2.3081 (2.3711) Prec@1 45.312 (46.117) Prec@5 72.656 (71.577)
Epoch: [47][2920/5005] Time 0.213 (0.210) Data 0.042 (0.048) Loss 2.5523 (2.3711) Prec@1 44.922 (46.117) Prec@5 70.703 (71.581)
Epoch: [47][2930/5005] Time 0.203 (0.210) Data 0.043 (0.048) Loss 2.4664 (2.3711) Prec@1 44.922 (46.116) Prec@5 68.750 (71.579)
Epoch: [47][2940/5005] Time 0.208 (0.210) Data 0.043 (0.048) Loss 2.5086 (2.3710) Prec@1 41.797 (46.117) Prec@5 68.359 (71.582)
Epoch: [47][2950/5005] Time 0.209 (0.210) Data 0.047 (0.048) Loss 2.4948 (2.3708) Prec@1 43.750 (46.120) Prec@5 69.531 (71.585)
Epoch: [47][2960/5005] Time 0.202 (0.210) Data 0.055 (0.048) Loss 2.2717 (2.3707) Prec@1 49.609 (46.125) Prec@5 73.047 (71.585)
Epoch: [47][2970/5005] Time 0.200 (0.210) Data 0.058 (0.048) Loss 2.5531 (2.3706) Prec@1 39.062 (46.125) Prec@5 67.969 (71.585)
Epoch: [47][2980/5005] Time 0.214 (0.210) Data 0.047 (0.048) Loss 2.3896 (2.3704) Prec@1 46.484 (46.126) Prec@5 72.656 (71.590)
Epoch: [47][2990/5005] Time 0.203 (0.210) Data 0.044 (0.048) Loss 2.2829 (2.3704) Prec@1 45.703 (46.123) Prec@5 71.484 (71.590)
Epoch: [47][3000/5005] Time 0.207 (0.210) Data 0.042 (0.048) Loss 2.2746 (2.3703) Prec@1 52.734 (46.125) Prec@5 72.656 (71.590)
Epoch: [47][3010/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.3034 (2.3705) Prec@1 44.531 (46.122) Prec@5 71.484 (71.586)
Epoch: [47][3020/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.2218 (2.3705) Prec@1 49.219 (46.121) Prec@5 73.047 (71.586)
Epoch: [47][3030/5005] Time 0.208 (0.210) Data 0.043 (0.048) Loss 2.2816 (2.3707) Prec@1 46.875 (46.114) Prec@5 73.828 (71.583)
Epoch: [47][3040/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.1277 (2.3705) Prec@1 51.172 (46.116) Prec@5 73.047 (71.585)
Epoch: [47][3050/5005] Time 0.207 (0.210) Data 0.042 (0.048) Loss 2.3736 (2.3705) Prec@1 45.312 (46.117) Prec@5 71.484 (71.589)
Epoch: [47][3060/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.2593 (2.3704) Prec@1 54.688 (46.120) Prec@5 75.000 (71.594)
Epoch: [47][3070/5005] Time 0.203 (0.210) Data 0.047 (0.048) Loss 2.4473 (2.3705) Prec@1 42.969 (46.119) Prec@5 71.875 (71.591)
Epoch: [47][3080/5005] Time 0.208 (0.210) Data 0.047 (0.048) Loss 2.2420 (2.3706) Prec@1 46.094 (46.116) Prec@5 73.438 (71.590)
Epoch: [47][3090/5005] Time 0.204 (0.210) Data 0.065 (0.048) Loss 2.6370 (2.3705) Prec@1 38.281 (46.116) Prec@5 67.578 (71.592)
Epoch: [47][3100/5005] Time 0.208 (0.210) Data 0.042 (0.048) Loss 2.3938 (2.3707) Prec@1 46.484 (46.111) Prec@5 73.047 (71.588)
Epoch: [47][3110/5005] Time 0.209 (0.210) Data 0.041 (0.048) Loss 2.1633 (2.3704) Prec@1 50.391 (46.112) Prec@5 75.781 (71.593)
Epoch: [47][3120/5005] Time 0.197 (0.210) Data 0.043 (0.048) Loss 2.3733 (2.3704) Prec@1 44.141 (46.108) Prec@5 72.656 (71.596)
Epoch: [47][3130/5005] Time 0.209 (0.210) Data 0.042 (0.048) Loss 2.3895 (2.3702) Prec@1 46.484 (46.114) Prec@5 71.094 (71.600)
Epoch: [47][3140/5005] Time 0.200 (0.210) Data 0.044 (0.048) Loss 2.0525 (2.3698) Prec@1 54.688 (46.124) Prec@5 75.391 (71.603)
Epoch: [47][3150/5005] Time 0.201 (0.210) Data 0.042 (0.047) Loss 2.3389 (2.3698) Prec@1 50.391 (46.129) Prec@5 71.484 (71.603)
Epoch: [47][3160/5005] Time 0.201 (0.210) Data 0.042 (0.047) Loss 2.3548 (2.3698) Prec@1 46.094 (46.132) Prec@5 70.312 (71.603)
Epoch: [47][3170/5005] Time 0.203 (0.210) Data 0.042 (0.047) Loss 2.3615 (2.3698) Prec@1 45.312 (46.131) Prec@5 72.266 (71.603)
Epoch: [47][3180/5005] Time 0.217 (0.210) Data 0.048 (0.047) Loss 2.1746 (2.3699) Prec@1 51.953 (46.129) Prec@5 73.438 (71.601)
Epoch: [47][3190/5005] Time 0.199 (0.210) Data 0.049 (0.047) Loss 2.3725 (2.3698) Prec@1 43.750 (46.130) Prec@5 72.656 (71.605)
Epoch: [47][3200/5005] Time 0.209 (0.210) Data 0.040 (0.047) Loss 2.5279 (2.3697) Prec@1 41.797 (46.134) Prec@5 69.531 (71.608)
Epoch: [47][3210/5005] Time 0.209 (0.210) Data 0.045 (0.047) Loss 2.4447 (2.3696) Prec@1 46.094 (46.139) Prec@5 71.484 (71.609)
Epoch: [47][3220/5005] Time 0.197 (0.210) Data 0.063 (0.047) Loss 2.3290 (2.3696) Prec@1 48.047 (46.139) Prec@5 72.266 (71.608)
Epoch: [47][3230/5005] Time 0.212 (0.210) Data 0.041 (0.047) Loss 2.3117 (2.3695) Prec@1 47.656 (46.142) Prec@5 75.000 (71.613)
Epoch: [47][3240/5005] Time 0.215 (0.210) Data 0.040 (0.047) Loss 2.7174 (2.3698) Prec@1 37.500 (46.136) Prec@5 63.672 (71.606)
Epoch: [47][3250/5005] Time 0.211 (0.210) Data 0.044 (0.047) Loss 2.3229 (2.3698) Prec@1 43.359 (46.136) Prec@5 75.391 (71.606)
Epoch: [47][3260/5005] Time 0.196 (0.210) Data 0.044 (0.047) Loss 2.3112 (2.3699) Prec@1 44.531 (46.134) Prec@5 73.438 (71.606)
Epoch: [47][3270/5005] Time 0.200 (0.210) Data 0.050 (0.047) Loss 2.3711 (2.3698) Prec@1 48.047 (46.138) Prec@5 70.703 (71.613)
Epoch: [47][3280/5005] Time 0.208 (0.210) Data 0.047 (0.047) Loss 2.2492 (2.3699) Prec@1 51.172 (46.134) Prec@5 73.438 (71.613)
Epoch: [47][3290/5005] Time 0.202 (0.210) Data 0.061 (0.047) Loss 2.2496 (2.3697) Prec@1 50.781 (46.139) Prec@5 71.094 (71.613)
Epoch: [47][3300/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.3095 (2.3697) Prec@1 45.703 (46.137) Prec@5 71.094 (71.611)
Epoch: [47][3310/5005] Time 0.208 (0.210) Data 0.046 (0.047) Loss 2.3353 (2.3698) Prec@1 44.531 (46.136) Prec@5 71.875 (71.610)
Epoch: [47][3320/5005] Time 0.204 (0.210) Data 0.048 (0.047) Loss 2.4757 (2.3699) Prec@1 46.094 (46.135) Prec@5 69.531 (71.609)
Epoch: [47][3330/5005] Time 0.208 (0.210) Data 0.048 (0.047) Loss 2.4424 (2.3699) Prec@1 41.797 (46.135) Prec@5 69.531 (71.608)
Epoch: [47][3340/5005] Time 0.203 (0.210) Data 0.047 (0.047) Loss 2.5766 (2.3700) Prec@1 45.703 (46.137) Prec@5 69.922 (71.607)
Epoch: [47][3350/5005] Time 0.215 (0.210) Data 0.047 (0.047) Loss 2.5005 (2.3699) Prec@1 44.141 (46.137) Prec@5 71.094 (71.608)
Epoch: [47][3360/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.2781 (2.3700) Prec@1 44.922 (46.139) Prec@5 75.391 (71.608)
Epoch: [47][3370/5005] Time 0.203 (0.210) Data 0.064 (0.047) Loss 2.4120 (2.3700) Prec@1 41.797 (46.137) Prec@5 72.656 (71.605)
Epoch: [47][3380/5005] Time 0.204 (0.210) Data 0.051 (0.047) Loss 2.2516 (2.3699) Prec@1 49.609 (46.137) Prec@5 74.609 (71.606)
Epoch: [47][3390/5005] Time 0.196 (0.210) Data 0.064 (0.047) Loss 2.2479 (2.3699) Prec@1 50.391 (46.137) Prec@5 70.703 (71.603)
Epoch: [47][3400/5005] Time 0.205 (0.210) Data 0.064 (0.047) Loss 2.3136 (2.3699) Prec@1 47.266 (46.136) Prec@5 74.219 (71.604)
Epoch: [47][3410/5005] Time 0.214 (0.210) Data 0.053 (0.048) Loss 2.3020 (2.3698) Prec@1 48.438 (46.138) Prec@5 72.656 (71.604)
Epoch: [47][3420/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.3283 (2.3698) Prec@1 44.141 (46.136) Prec@5 73.828 (71.605)
Epoch: [47][3430/5005] Time 0.210 (0.210) Data 0.052 (0.048) Loss 2.5924 (2.3698) Prec@1 44.922 (46.136) Prec@5 64.453 (71.606)
Epoch: [47][3440/5005] Time 0.213 (0.210) Data 0.047 (0.048) Loss 2.4702 (2.3697) Prec@1 43.750 (46.136) Prec@5 69.922 (71.607)
Epoch: [47][3450/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.1584 (2.3696) Prec@1 46.875 (46.140) Prec@5 74.219 (71.609)
Epoch: [47][3460/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.3968 (2.3697) Prec@1 44.922 (46.141) Prec@5 69.141 (71.608)
Epoch: [47][3470/5005] Time 0.205 (0.210) Data 0.042 (0.048) Loss 2.2069 (2.3695) Prec@1 51.562 (46.144) Prec@5 75.391 (71.607)
Epoch: [47][3480/5005] Time 0.192 (0.210) Data 0.064 (0.048) Loss 2.3152 (2.3694) Prec@1 50.391 (46.149) Prec@5 73.438 (71.609)
Epoch: [47][3490/5005] Time 0.209 (0.210) Data 0.053 (0.048) Loss 2.5570 (2.3695) Prec@1 42.578 (46.149) Prec@5 67.578 (71.607)
Epoch: [47][3500/5005] Time 0.203 (0.210) Data 0.046 (0.048) Loss 2.1740 (2.3695) Prec@1 47.656 (46.149) Prec@5 75.000 (71.609)
Epoch: [47][3510/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.2013 (2.3692) Prec@1 47.656 (46.153) Prec@5 72.266 (71.614)
Epoch: [47][3520/5005] Time 0.209 (0.210) Data 0.063 (0.048) Loss 2.5271 (2.3692) Prec@1 43.750 (46.153) Prec@5 71.094 (71.614)
Epoch: [47][3530/5005] Time 0.213 (0.210) Data 0.060 (0.048) Loss 2.2794 (2.3690) Prec@1 49.609 (46.160) Prec@5 75.000 (71.616)
Epoch: [47][3540/5005] Time 0.201 (0.209) Data 0.047 (0.048) Loss 2.2640 (2.3690) Prec@1 48.047 (46.161) Prec@5 74.609 (71.617)
Epoch: [47][3550/5005] Time 0.208 (0.209) Data 0.047 (0.048) Loss 2.3628 (2.3689) Prec@1 44.531 (46.159) Prec@5 71.484 (71.621)
Epoch: [47][3560/5005] Time 0.216 (0.209) Data 0.044 (0.048) Loss 2.4164 (2.3688) Prec@1 43.359 (46.162) Prec@5 69.922 (71.622)
Epoch: [47][3570/5005] Time 0.205 (0.209) Data 0.042 (0.048) Loss 2.3611 (2.3687) Prec@1 46.875 (46.164) Prec@5 71.484 (71.622)
Epoch: [47][3580/5005] Time 0.213 (0.209) Data 0.043 (0.048) Loss 2.3432 (2.3688) Prec@1 46.094 (46.161) Prec@5 71.484 (71.621)
Epoch: [47][3590/5005] Time 0.210 (0.209) Data 0.045 (0.048) Loss 2.3583 (2.3685) Prec@1 47.266 (46.170) Prec@5 71.484 (71.626)
Epoch: [47][3600/5005] Time 0.194 (0.209) Data 0.065 (0.048) Loss 2.3699 (2.3683) Prec@1 47.656 (46.175) Prec@5 69.922 (71.627)
Epoch: [47][3610/5005] Time 0.209 (0.209) Data 0.042 (0.048) Loss 2.1920 (2.3683) Prec@1 53.516 (46.177) Prec@5 73.828 (71.625)
Epoch: [47][3620/5005] Time 0.208 (0.209) Data 0.043 (0.048) Loss 2.5445 (2.3681) Prec@1 41.797 (46.184) Prec@5 71.484 (71.629)
Epoch: [47][3630/5005] Time 0.209 (0.209) Data 0.049 (0.048) Loss 2.5867 (2.3680) Prec@1 44.922 (46.186) Prec@5 70.312 (71.631)
Epoch: [47][3640/5005] Time 0.209 (0.209) Data 0.051 (0.048) Loss 2.3648 (2.3680) Prec@1 43.359 (46.186) Prec@5 72.656 (71.630)
Epoch: [47][3650/5005] Time 0.200 (0.209) Data 0.055 (0.048) Loss 2.1354 (2.3679) Prec@1 49.609 (46.186) Prec@5 75.000 (71.632)
Epoch: [47][3660/5005] Time 0.204 (0.209) Data 0.062 (0.048) Loss 2.4891 (2.3678) Prec@1 43.359 (46.188) Prec@5 69.922 (71.635)
Epoch: [47][3670/5005] Time 0.207 (0.209) Data 0.043 (0.048) Loss 2.3992 (2.3679) Prec@1 46.484 (46.184) Prec@5 71.484 (71.635)
Epoch: [47][3680/5005] Time 0.211 (0.209) Data 0.044 (0.048) Loss 2.3039 (2.3681) Prec@1 46.875 (46.180) Prec@5 73.438 (71.633)
Epoch: [47][3690/5005] Time 0.204 (0.209) Data 0.055 (0.048) Loss 2.1965 (2.3681) Prec@1 47.266 (46.179) Prec@5 76.172 (71.634)
Epoch: [47][3700/5005] Time 0.214 (0.209) Data 0.046 (0.048) Loss 2.3458 (2.3681) Prec@1 50.391 (46.179) Prec@5 69.922 (71.632)
Epoch: [47][3710/5005] Time 0.217 (0.209) Data 0.046 (0.048) Loss 2.2193 (2.3681) Prec@1 50.391 (46.178) Prec@5 73.828 (71.635)
Epoch: [47][3720/5005] Time 0.204 (0.209) Data 0.054 (0.048) Loss 2.4688 (2.3681) Prec@1 49.609 (46.182) Prec@5 70.312 (71.634)
Epoch: [47][3730/5005] Time 0.200 (0.209) Data 0.040 (0.048) Loss 2.2477 (2.3680) Prec@1 51.562 (46.186) Prec@5 74.609 (71.637)
Epoch: [47][3740/5005] Time 0.200 (0.209) Data 0.055 (0.048) Loss 2.4116 (2.3678) Prec@1 44.141 (46.188) Prec@5 72.656 (71.639)
Epoch: [47][3750/5005] Time 0.212 (0.209) Data 0.042 (0.048) Loss 2.1541 (2.3679) Prec@1 48.438 (46.184) Prec@5 73.438 (71.634)
Epoch: [47][3760/5005] Time 0.204 (0.209) Data 0.057 (0.048) Loss 2.4036 (2.3680) Prec@1 47.656 (46.183) Prec@5 68.359 (71.633)
Epoch: [47][3770/5005] Time 0.202 (0.209) Data 0.056 (0.048) Loss 2.4035 (2.3678) Prec@1 45.312 (46.183) Prec@5 68.359 (71.636)
Epoch: [47][3780/5005] Time 0.206 (0.209) Data 0.051 (0.048) Loss 2.2625 (2.3677) Prec@1 47.266 (46.181) Prec@5 74.609 (71.637)
Epoch: [47][3790/5005] Time 0.197 (0.209) Data 0.044 (0.048) Loss 2.4800 (2.3678) Prec@1 43.359 (46.178) Prec@5 70.703 (71.636)
Epoch: [47][3800/5005] Time 0.203 (0.209) Data 0.047 (0.048) Loss 2.3355 (2.3680) Prec@1 46.484 (46.175) Prec@5 72.656 (71.634)
Epoch: [47][3810/5005] Time 0.208 (0.209) Data 0.056 (0.048) Loss 2.2595 (2.3681) Prec@1 49.219 (46.174) Prec@5 75.391 (71.632)
Epoch: [47][3820/5005] Time 0.201 (0.209) Data 0.055 (0.048) Loss 2.3650 (2.3680) Prec@1 48.828 (46.175) Prec@5 71.875 (71.634)
Epoch: [47][3830/5005] Time 0.208 (0.209) Data 0.040 (0.048) Loss 2.4825 (2.3678) Prec@1 40.234 (46.176) Prec@5 75.000 (71.637)
Epoch: [47][3840/5005] Time 0.207 (0.209) Data 0.048 (0.048) Loss 2.5689 (2.3680) Prec@1 39.062 (46.174) Prec@5 68.359 (71.633)
Epoch: [47][3850/5005] Time 0.210 (0.209) Data 0.049 (0.048) Loss 2.4553 (2.3679) Prec@1 41.797 (46.174) Prec@5 67.969 (71.637)
Epoch: [47][3860/5005] Time 0.207 (0.209) Data 0.045 (0.048) Loss 2.0708 (2.3679) Prec@1 50.391 (46.173) Prec@5 76.172 (71.637)
Epoch: [47][3870/5005] Time 0.206 (0.209) Data 0.046 (0.048) Loss 2.2983 (2.3679) Prec@1 44.922 (46.169) Prec@5 71.484 (71.636)
Epoch: [47][3880/5005] Time 0.201 (0.209) Data 0.048 (0.048) Loss 2.3439 (2.3679) Prec@1 48.047 (46.169) Prec@5 70.312 (71.636)
Epoch: [47][3890/5005] Time 0.203 (0.209) Data 0.047 (0.048) Loss 2.5389 (2.3679) Prec@1 47.656 (46.172) Prec@5 68.750 (71.635)
Epoch: [47][3900/5005] Time 0.212 (0.209) Data 0.044 (0.048) Loss 2.3810 (2.3679) Prec@1 44.922 (46.169) Prec@5 71.875 (71.635)
Epoch: [47][3910/5005] Time 0.207 (0.209) Data 0.059 (0.048) Loss 2.3266 (2.3678) Prec@1 45.312 (46.168) Prec@5 71.094 (71.636)
Epoch: [47][3920/5005] Time 0.201 (0.209) Data 0.044 (0.048) Loss 2.3621 (2.3679) Prec@1 48.047 (46.167) Prec@5 72.266 (71.634)
Epoch: [47][3930/5005] Time 0.209 (0.209) Data 0.043 (0.048) Loss 2.3192 (2.3677) Prec@1 47.266 (46.170) Prec@5 72.266 (71.636)
Epoch: [47][3940/5005] Time 0.212 (0.209) Data 0.043 (0.048) Loss 2.2853 (2.3677) Prec@1 48.047 (46.168) Prec@5 71.484 (71.636)
Epoch: [47][3950/5005] Time 0.210 (0.209) Data 0.044 (0.048) Loss 2.1060 (2.3675) Prec@1 49.219 (46.172) Prec@5 76.953 (71.641)
Epoch: [47][3960/5005] Time 0.214 (0.209) Data 0.044 (0.048) Loss 2.4351 (2.3675) Prec@1 44.531 (46.172) Prec@5 70.312 (71.641)
Epoch: [47][3970/5005] Time 0.209 (0.209) Data 0.046 (0.048) Loss 2.4388 (2.3676) Prec@1 47.656 (46.173) Prec@5 69.531 (71.640)
Epoch: [47][3980/5005] Time 0.212 (0.209) Data 0.044 (0.048) Loss 2.2771 (2.3675) Prec@1 46.875 (46.173) Prec@5 71.484 (71.642)
Epoch: [47][3990/5005] Time 0.208 (0.209) Data 0.051 (0.048) Loss 2.4752 (2.3676) Prec@1 43.359 (46.170) Prec@5 69.922 (71.640)
Epoch: [47][4000/5005] Time 0.205 (0.209) Data 0.042 (0.048) Loss 2.2530 (2.3676) Prec@1 43.750 (46.169) Prec@5 75.000 (71.641)
Epoch: [47][4010/5005] Time 0.214 (0.209) Data 0.045 (0.048) Loss 2.3927 (2.3675) Prec@1 42.578 (46.171) Prec@5 71.094 (71.644)
Epoch: [47][4020/5005] Time 0.211 (0.209) Data 0.044 (0.048) Loss 2.5636 (2.3675) Prec@1 40.234 (46.171) Prec@5 68.750 (71.643)
Epoch: [47][4030/5005] Time 0.206 (0.209) Data 0.042 (0.048) Loss 2.5914 (2.3678) Prec@1 46.484 (46.169) Prec@5 66.406 (71.637)
Epoch: [47][4040/5005] Time 0.215 (0.209) Data 0.042 (0.048) Loss 2.3859 (2.3679) Prec@1 46.875 (46.165) Prec@5 69.922 (71.633)
Epoch: [47][4050/5005] Time 0.204 (0.209) Data 0.049 (0.048) Loss 2.4984 (2.3679) Prec@1 44.141 (46.168) Prec@5 67.969 (71.636)
Epoch: [47][4060/5005] Time 0.196 (0.209) Data 0.046 (0.048) Loss 2.3253 (2.3678) Prec@1 45.312 (46.168) Prec@5 70.703 (71.635)
Epoch: [47][4070/5005] Time 0.197 (0.209) Data 0.053 (0.048) Loss 2.5880 (2.3678) Prec@1 46.094 (46.166) Prec@5 67.969 (71.636)
Epoch: [47][4080/5005] Time 0.210 (0.209) Data 0.041 (0.048) Loss 2.3294 (2.3678) Prec@1 47.656 (46.167) Prec@5 67.188 (71.635)
Epoch: [47][4090/5005] Time 0.194 (0.209) Data 0.047 (0.048) Loss 2.5772 (2.3678) Prec@1 41.797 (46.165) Prec@5 67.188 (71.635)
Epoch: [47][4100/5005] Time 0.209 (0.209) Data 0.058 (0.048) Loss 2.2938 (2.3677) Prec@1 45.703 (46.164) Prec@5 75.000 (71.637)
Epoch: [47][4110/5005] Time 0.218 (0.209) Data 0.047 (0.048) Loss 2.5375 (2.3678) Prec@1 39.062 (46.160) Prec@5 71.484 (71.635)
Epoch: [47][4120/5005] Time 0.205 (0.209) Data 0.061 (0.048) Loss 2.4350 (2.3677) Prec@1 43.750 (46.161) Prec@5 68.750 (71.636)
Epoch: [47][4130/5005] Time 0.193 (0.209) Data 0.048 (0.048) Loss 2.6296 (2.3677) Prec@1 42.188 (46.163) Prec@5 64.844 (71.636)
Epoch: [47][4140/5005] Time 0.208 (0.209) Data 0.053 (0.048) Loss 2.3754 (2.3676) Prec@1 46.484 (46.160) Prec@5 72.656 (71.636)
Epoch: [47][4150/5005] Time 0.202 (0.209) Data 0.039 (0.048) Loss 2.5822 (2.3677) Prec@1 44.531 (46.158) Prec@5 69.141 (71.636)
Epoch: [47][4160/5005] Time 0.215 (0.209) Data 0.048 (0.048) Loss 2.2572 (2.3679) Prec@1 48.438 (46.155) Prec@5 76.562 (71.633)
Epoch: [47][4170/5005] Time 0.207 (0.209) Data 0.046 (0.048) Loss 2.2834 (2.3679) Prec@1 43.750 (46.155) Prec@5 75.000 (71.632)
Epoch: [47][4180/5005] Time 0.202 (0.209) Data 0.046 (0.048) Loss 2.2728 (2.3678) Prec@1 47.656 (46.155) Prec@5 70.703 (71.634)
Epoch: [47][4190/5005] Time 0.208 (0.209) Data 0.047 (0.048) Loss 2.3226 (2.3679) Prec@1 47.266 (46.155) Prec@5 70.312 (71.631)
Epoch: [47][4200/5005] Time 0.214 (0.209) Data 0.042 (0.048) Loss 2.2236 (2.3679) Prec@1 49.219 (46.153) Prec@5 73.828 (71.631)
Epoch: [47][4210/5005] Time 0.214 (0.209) Data 0.045 (0.048) Loss 2.2081 (2.3678) Prec@1 49.609 (46.156) Prec@5 75.391 (71.633)
Epoch: [47][4220/5005] Time 0.212 (0.209) Data 0.042 (0.048) Loss 2.5777 (2.3679) Prec@1 41.406 (46.154) Prec@5 70.312 (71.629)
Epoch: [47][4230/5005] Time 0.201 (0.209) Data 0.042 (0.048) Loss 2.5167 (2.3680) Prec@1 42.188 (46.154) Prec@5 69.922 (71.625)
Epoch: [47][4240/5005] Time 0.223 (0.209) Data 0.042 (0.048) Loss 2.2109 (2.3680) Prec@1 48.047 (46.154) Prec@5 76.172 (71.626)
Epoch: [47][4250/5005] Time 0.199 (0.209) Data 0.042 (0.048) Loss 2.3143 (2.3680) Prec@1 46.875 (46.153) Prec@5 71.875 (71.625)
Epoch: [47][4260/5005] Time 0.210 (0.209) Data 0.042 (0.048) Loss 2.2950 (2.3680) Prec@1 46.094 (46.155) Prec@5 71.875 (71.625)
Epoch: [47][4270/5005] Time 0.213 (0.209) Data 0.042 (0.048) Loss 2.6344 (2.3681) Prec@1 43.359 (46.155) Prec@5 67.188 (71.624)
Epoch: [47][4280/5005] Time 0.212 (0.209) Data 0.043 (0.048) Loss 2.5295 (2.3681) Prec@1 45.703 (46.157) Prec@5 70.312 (71.623)
Epoch: [47][4290/5005] Time 0.206 (0.209) Data 0.045 (0.048) Loss 2.5790 (2.3682) Prec@1 43.750 (46.156) Prec@5 66.797 (71.619)
Epoch: [47][4300/5005] Time 0.204 (0.209) Data 0.041 (0.048) Loss 2.2000 (2.3680) Prec@1 50.781 (46.158) Prec@5 74.219 (71.621)
Epoch: [47][4310/5005] Time 0.210 (0.209) Data 0.049 (0.048) Loss 2.3066 (2.3680) Prec@1 44.922 (46.159) Prec@5 75.391 (71.622)
Epoch: [47][4320/5005] Time 0.207 (0.209) Data 0.046 (0.048) Loss 2.2923 (2.3680) Prec@1 49.219 (46.159) Prec@5 71.875 (71.622)
Epoch: [47][4330/5005] Time 0.211 (0.209) Data 0.052 (0.048) Loss 2.3139 (2.3681) Prec@1 44.141 (46.157) Prec@5 72.656 (71.621)
Epoch: [47][4340/5005] Time 0.199 (0.209) Data 0.046 (0.048) Loss 2.3830 (2.3681) Prec@1 44.922 (46.155) Prec@5 71.094 (71.621)
Epoch: [47][4350/5005] Time 0.204 (0.209) Data 0.044 (0.048) Loss 2.3720 (2.3681) Prec@1 46.094 (46.153) Prec@5 71.875 (71.622)
Epoch: [47][4360/5005] Time 0.211 (0.209) Data 0.048 (0.048) Loss 2.2191 (2.3680) Prec@1 46.875 (46.154) Prec@5 71.875 (71.625)
Epoch: [47][4370/5005] Time 0.213 (0.209) Data 0.042 (0.048) Loss 2.2529 (2.3680) Prec@1 46.094 (46.154) Prec@5 72.656 (71.624)
Epoch: [47][4380/5005] Time 0.210 (0.209) Data 0.044 (0.048) Loss 2.2846 (2.3680) Prec@1 49.609 (46.155) Prec@5 71.484 (71.624)
Epoch: [47][4390/5005] Time 0.211 (0.209) Data 0.044 (0.048) Loss 2.4476 (2.3679) Prec@1 43.359 (46.159) Prec@5 68.750 (71.627)
Epoch: [47][4400/5005] Time 0.220 (0.209) Data 0.044 (0.048) Loss 2.3957 (2.3678) Prec@1 47.656 (46.161) Prec@5 69.922 (71.627)
Epoch: [47][4410/5005] Time 0.211 (0.209) Data 0.043 (0.048) Loss 2.3214 (2.3678) Prec@1 47.266 (46.160) Prec@5 70.703 (71.628)
Epoch: [47][4420/5005] Time 0.211 (0.209) Data 0.044 (0.048) Loss 2.1026 (2.3677) Prec@1 53.516 (46.163) Prec@5 75.391 (71.629)
Epoch: [47][4430/5005] Time 0.216 (0.209) Data 0.051 (0.048) Loss 2.3700 (2.3675) Prec@1 44.531 (46.166) Prec@5 68.750 (71.631)
Epoch: [47][4440/5005] Time 0.202 (0.209) Data 0.050 (0.048) Loss 2.4804 (2.3675) Prec@1 42.969 (46.166) Prec@5 72.266 (71.631)
Epoch: [47][4450/5005] Time 0.218 (0.209) Data 0.041 (0.048) Loss 2.2849 (2.3675) Prec@1 43.750 (46.166) Prec@5 73.047 (71.632)
Epoch: [47][4460/5005] Time 0.204 (0.209) Data 0.049 (0.048) Loss 2.4212 (2.3674) Prec@1 46.875 (46.168) Prec@5 71.094 (71.634)
Epoch: [47][4470/5005] Time 0.213 (0.209) Data 0.042 (0.048) Loss 2.3195 (2.3675) Prec@1 46.875 (46.166) Prec@5 73.438 (71.631)
Epoch: [47][4480/5005] Time 0.211 (0.209) Data 0.048 (0.048) Loss 2.1651 (2.3676) Prec@1 49.609 (46.163) Prec@5 74.609 (71.631)
Epoch: [47][4490/5005] Time 0.207 (0.209) Data 0.046 (0.048) Loss 2.3608 (2.3677) Prec@1 46.875 (46.159) Prec@5 70.703 (71.630)
Epoch: [47][4500/5005] Time 0.213 (0.209) Data 0.056 (0.048) Loss 2.3715 (2.3677) Prec@1 44.922 (46.158) Prec@5 73.828 (71.632)
Epoch: [47][4510/5005] Time 0.206 (0.209) Data 0.046 (0.048) Loss 2.2645 (2.3677) Prec@1 47.656 (46.155) Prec@5 74.609 (71.634)
Epoch: [47][4520/5005] Time 0.211 (0.209) Data 0.052 (0.048) Loss 2.3532 (2.3676) Prec@1 50.781 (46.160) Prec@5 73.047 (71.636)
Epoch: [47][4530/5005] Time 0.205 (0.209) Data 0.052 (0.048) Loss 2.2006 (2.3676) Prec@1 53.516 (46.161) Prec@5 74.609 (71.635)
Epoch: [47][4540/5005] Time 0.208 (0.209) Data 0.046 (0.048) Loss 2.5333 (2.3678) Prec@1 43.750 (46.156) Prec@5 71.875 (71.632)
Epoch: [47][4550/5005] Time 0.208 (0.209) Data 0.050 (0.048) Loss 2.4280 (2.3677) Prec@1 46.094 (46.159) Prec@5 71.875 (71.633)
Epoch: [47][4560/5005] Time 0.216 (0.209) Data 0.044 (0.048) Loss 2.2344 (2.3676) Prec@1 48.828 (46.160) Prec@5 71.875 (71.633)
Epoch: [47][4570/5005] Time 0.205 (0.209) Data 0.043 (0.048) Loss 2.4116 (2.3675) Prec@1 45.703 (46.159) Prec@5 71.484 (71.634)
Epoch: [47][4580/5005] Time 0.208 (0.209) Data 0.040 (0.048) Loss 2.5880 (2.3676) Prec@1 37.891 (46.160) Prec@5 69.531 (71.634)
Epoch: [47][4590/5005] Time 0.203 (0.209) Data 0.040 (0.048) Loss 2.2061 (2.3676) Prec@1 49.609 (46.161) Prec@5 75.781 (71.637)
Epoch: [47][4600/5005] Time 0.209 (0.209) Data 0.042 (0.048) Loss 2.1630 (2.3677) Prec@1 49.609 (46.159) Prec@5 76.562 (71.635)
Epoch: [47][4610/5005] Time 0.210 (0.209) Data 0.044 (0.048) Loss 2.1879 (2.3676) Prec@1 48.828 (46.158) Prec@5 75.000 (71.636)
Epoch: [47][4620/5005] Time 0.212 (0.209) Data 0.044 (0.048) Loss 2.2248 (2.3676) Prec@1 50.391 (46.159) Prec@5 71.484 (71.636)
Epoch: [47][4630/5005] Time 0.201 (0.209) Data 0.043 (0.048) Loss 2.1744 (2.3675) Prec@1 50.781 (46.158) Prec@5 75.000 (71.640)
Epoch: [47][4640/5005] Time 0.205 (0.209) Data 0.041 (0.048) Loss 2.3786 (2.3674) Prec@1 48.828 (46.159) Prec@5 73.828 (71.641)
Epoch: [47][4650/5005] Time 0.207 (0.209) Data 0.040 (0.048) Loss 2.3483 (2.3674) Prec@1 44.531 (46.161) Prec@5 70.703 (71.642)
Epoch: [47][4660/5005] Time 0.203 (0.209) Data 0.044 (0.048) Loss 2.6850 (2.3674) Prec@1 39.453 (46.160) Prec@5 64.844 (71.641)
Epoch: [47][4670/5005] Time 0.211 (0.209) Data 0.045 (0.048) Loss 2.1804 (2.3673) Prec@1 50.000 (46.164) Prec@5 72.656 (71.642)
Epoch: [47][4680/5005] Time 0.212 (0.209) Data 0.043 (0.048) Loss 2.1741 (2.3672) Prec@1 48.828 (46.164) Prec@5 75.000 (71.642)
Epoch: [47][4690/5005] Time 0.212 (0.209) Data 0.044 (0.048) Loss 2.4010 (2.3672) Prec@1 42.969 (46.161) Prec@5 71.875 (71.642)
Epoch: [47][4700/5005] Time 0.213 (0.209) Data 0.042 (0.048) Loss 2.2312 (2.3672) Prec@1 47.266 (46.164) Prec@5 75.781 (71.641)
Epoch: [47][4710/5005] Time 0.207 (0.209) Data 0.042 (0.048) Loss 2.2688 (2.3670) Prec@1 48.438 (46.170) Prec@5 72.656 (71.644)
Epoch: [47][4720/5005] Time 0.212 (0.209) Data 0.043 (0.048) Loss 2.1446 (2.3670) Prec@1 51.953 (46.172) Prec@5 75.391 (71.645)
Epoch: [47][4730/5005] Time 0.209 (0.209) Data 0.041 (0.048) Loss 2.3075 (2.3670) Prec@1 45.703 (46.169) Prec@5 74.219 (71.644)
Epoch: [47][4740/5005] Time 0.210 (0.209) Data 0.044 (0.048) Loss 2.1670 (2.3670) Prec@1 46.094 (46.170) Prec@5 74.609 (71.646)
Epoch: [47][4750/5005] Time 0.211 (0.209) Data 0.042 (0.048) Loss 2.3217 (2.3669) Prec@1 46.484 (46.173) Prec@5 69.531 (71.647)
Epoch: [47][4760/5005] Time 0.205 (0.209) Data 0.045 (0.048) Loss 2.6097 (2.3668) Prec@1 42.578 (46.175) Prec@5 69.531 (71.649)
Epoch: [47][4770/5005] Time 0.203 (0.209) Data 0.041 (0.048) Loss 2.3254 (2.3668) Prec@1 50.391 (46.178) Prec@5 70.703 (71.649)
Epoch: [47][4780/5005] Time 0.211 (0.209) Data 0.043 (0.048) Loss 2.6077 (2.3668) Prec@1 40.625 (46.177) Prec@5 69.531 (71.648)
Epoch: [47][4790/5005] Time 0.207 (0.209) Data 0.044 (0.048) Loss 2.6661 (2.3669) Prec@1 42.188 (46.178) Prec@5 66.406 (71.647)
Epoch: [47][4800/5005] Time 0.198 (0.209) Data 0.045 (0.048) Loss 2.5442 (2.3668) Prec@1 39.844 (46.178) Prec@5 71.094 (71.649)
Epoch: [47][4810/5005] Time 0.211 (0.209) Data 0.044 (0.048) Loss 2.5401 (2.3667) Prec@1 40.625 (46.180) Prec@5 67.969 (71.650)
Epoch: [47][4820/5005] Time 0.209 (0.209) Data 0.043 (0.048) Loss 2.4991 (2.3666) Prec@1 41.406 (46.183) Prec@5 66.016 (71.650)
Epoch: [47][4830/5005] Time 0.211 (0.209) Data 0.043 (0.048) Loss 2.3702 (2.3665) Prec@1 46.875 (46.188) Prec@5 73.438 (71.651)
Epoch: [47][4840/5005] Time 0.213 (0.209) Data 0.043 (0.048) Loss 2.1482 (2.3665) Prec@1 48.828 (46.186) Prec@5 75.391 (71.651)
Epoch: [47][4850/5005] Time 0.217 (0.209) Data 0.040 (0.048) Loss 2.4503 (2.3667) Prec@1 42.969 (46.183) Prec@5 69.141 (71.648)
Epoch: [47][4860/5005] Time 0.200 (0.209) Data 0.054 (0.048) Loss 2.2297 (2.3665) Prec@1 47.656 (46.184) Prec@5 74.609 (71.647)
Epoch: [47][4870/5005] Time 0.201 (0.209) Data 0.055 (0.048) Loss 2.2867 (2.3667) Prec@1 50.000 (46.182) Prec@5 73.047 (71.644)
Epoch: [47][4880/5005] Time 0.198 (0.209) Data 0.057 (0.048) Loss 2.3351 (2.3667) Prec@1 49.219 (46.183) Prec@5 68.750 (71.644)
Epoch: [47][4890/5005] Time 0.206 (0.209) Data 0.047 (0.048) Loss 2.5156 (2.3666) Prec@1 42.969 (46.184) Prec@5 72.266 (71.647)
Epoch: [47][4900/5005] Time 0.205 (0.209) Data 0.042 (0.048) Loss 2.2485 (2.3666) Prec@1 46.875 (46.185) Prec@5 73.828 (71.647)
Epoch: [47][4910/5005] Time 0.200 (0.209) Data 0.058 (0.048) Loss 2.3645 (2.3663) Prec@1 42.578 (46.188) Prec@5 73.047 (71.651)
Epoch: [47][4920/5005] Time 0.202 (0.209) Data 0.043 (0.048) Loss 2.3914 (2.3663) Prec@1 45.312 (46.186) Prec@5 71.875 (71.651)
Epoch: [47][4930/5005] Time 0.214 (0.209) Data 0.043 (0.048) Loss 2.4653 (2.3663) Prec@1 42.969 (46.185) Prec@5 70.703 (71.652)
Epoch: [47][4940/5005] Time 0.205 (0.209) Data 0.047 (0.048) Loss 2.2874 (2.3663) Prec@1 48.047 (46.187) Prec@5 71.484 (71.652)
Epoch: [47][4950/5005] Time 0.205 (0.209) Data 0.045 (0.048) Loss 1.9155 (2.3663) Prec@1 49.609 (46.187) Prec@5 78.516 (71.654)
Epoch: [47][4960/5005] Time 0.207 (0.209) Data 0.062 (0.048) Loss 2.4649 (2.3663) Prec@1 45.312 (46.190) Prec@5 70.703 (71.655)
Epoch: [47][4970/5005] Time 0.200 (0.209) Data 0.043 (0.048) Loss 2.4722 (2.3662) Prec@1 44.531 (46.191) Prec@5 67.578 (71.659)
Epoch: [47][4980/5005] Time 0.209 (0.209) Data 0.060 (0.048) Loss 2.4508 (2.3661) Prec@1 44.922 (46.192) Prec@5 71.484 (71.660)
Epoch: [47][4990/5005] Time 0.205 (0.209) Data 0.025 (0.048) Loss 2.4100 (2.3661) Prec@1 42.188 (46.194) Prec@5 70.703 (71.659)
Epoch: [47][5000/5005] Time 0.207 (0.209) Data 0.023 (0.048) Loss 2.4663 (2.3661) Prec@1 43.359 (46.192) Prec@5 68.359 (71.657)
Test: [0/196] Time 1.843 (1.843) Loss 2.4841 (2.4841) Prec@1 47.266 (47.266) Prec@5 70.703 (70.703)
Test: [10/196] Time 0.185 (0.309) Loss 2.4693 (2.5897) Prec@1 46.484 (43.466) Prec@5 70.312 (68.359)
Test: [20/196] Time 0.044 (0.249) Loss 2.4726 (2.6006) Prec@1 44.531 (43.043) Prec@5 73.047 (68.359)
Test: [30/196] Time 0.047 (0.215) Loss 2.4308 (2.5977) Prec@1 44.531 (42.918) Prec@5 69.531 (68.511)
Test: [40/196] Time 0.050 (0.207) Loss 2.3750 (2.5934) Prec@1 46.094 (43.169) Prec@5 72.656 (68.588)
Test: [50/196] Time 0.042 (0.199) Loss 2.6316 (2.5945) Prec@1 43.750 (43.114) Prec@5 69.531 (68.597)
Test: [60/196] Time 0.042 (0.191) Loss 2.4861 (2.5784) Prec@1 46.875 (43.455) Prec@5 70.312 (68.833)
Test: [70/196] Time 0.044 (0.190) Loss 2.5276 (2.5720) Prec@1 46.484 (43.546) Prec@5 67.969 (68.844)
Test: [80/196] Time 0.198 (0.188) Loss 2.4695 (2.5785) Prec@1 48.828 (43.461) Prec@5 73.047 (68.736)
Test: [90/196] Time 0.167 (0.184) Loss 2.6682 (2.5818) Prec@1 43.750 (43.458) Prec@5 67.188 (68.750)
Test: [100/196] Time 0.480 (0.186) Loss 2.6045 (2.5791) Prec@1 44.141 (43.646) Prec@5 67.578 (68.831)
Test: [110/196] Time 0.044 (0.191) Loss 2.7624 (2.5809) Prec@1 41.016 (43.609) Prec@5 65.625 (68.827)
Test: [120/196] Time 0.280 (0.185) Loss 2.4171 (2.5782) Prec@1 44.141 (43.724) Prec@5 71.875 (68.863)
Test: [130/196] Time 0.133 (0.183) Loss 2.2798 (2.5756) Prec@1 45.703 (43.786) Prec@5 75.781 (68.917)
Test: [140/196] Time 0.043 (0.181) Loss 2.4084 (2.5775) Prec@1 50.000 (43.769) Prec@5 69.922 (68.866)
Test: [150/196] Time 0.680 (0.183) Loss 2.1917 (2.5748) Prec@1 49.609 (43.778) Prec@5 75.000 (68.936)
Test: [160/196] Time 0.658 (0.182) Loss 2.5401 (2.5732) Prec@1 49.219 (43.869) Prec@5 69.531 (68.937)
Test: [170/196] Time 0.044 (0.179) Loss 2.4659 (2.5756) Prec@1 44.922 (43.819) Prec@5 71.094 (68.887)
Test: [180/196] Time 0.808 (0.182) Loss 2.7211 (2.5794) Prec@1 42.969 (43.756) Prec@5 67.969 (68.826)
Test: [190/196] Time 0.050 (0.180) Loss 2.7429 (2.5819) Prec@1 44.531 (43.728) Prec@5 64.453 (68.768)
* Prec@1 43.712 Prec@5 68.752
Learning rate: 0.0001
Epoch: [48][0/5005] Time 1.094 (1.094) Data 0.998 (0.998) Loss 2.2363 (2.2363) Prec@1 48.438 (48.438) Prec@5 73.438 (73.438)
Epoch: [48][10/5005] Time 0.201 (0.285) Data 0.042 (0.133) Loss 2.3009 (2.3570) Prec@1 48.828 (45.597) Prec@5 71.875 (72.124)
Epoch: [48][20/5005] Time 0.204 (0.245) Data 0.042 (0.090) Loss 2.4252 (2.3805) Prec@1 44.531 (45.387) Prec@5 74.609 (72.061)
Epoch: [48][30/5005] Time 0.205 (0.232) Data 0.043 (0.075) Loss 2.3143 (2.3564) Prec@1 46.094 (46.119) Prec@5 71.875 (71.988)
Epoch: [48][40/5005] Time 0.199 (0.225) Data 0.041 (0.067) Loss 2.2056 (2.3644) Prec@1 42.969 (45.884) Prec@5 73.438 (71.818)
Epoch: [48][50/5005] Time 0.200 (0.220) Data 0.058 (0.063) Loss 2.2455 (2.3594) Prec@1 43.750 (45.918) Prec@5 75.781 (72.005)
Epoch: [48][60/5005] Time 0.210 (0.218) Data 0.043 (0.061) Loss 2.2922 (2.3643) Prec@1 45.703 (45.710) Prec@5 72.656 (71.843)
Epoch: [48][70/5005] Time 0.211 (0.216) Data 0.042 (0.058) Loss 2.4749 (2.3774) Prec@1 41.016 (45.351) Prec@5 72.656 (71.704)
Epoch: [48][80/5005] Time 0.197 (0.213) Data 0.044 (0.057) Loss 2.3344 (2.3715) Prec@1 47.656 (45.631) Prec@5 72.266 (71.798)
Epoch: [48][90/5005] Time 0.210 (0.212) Data 0.058 (0.056) Loss 2.5259 (2.3668) Prec@1 44.141 (45.819) Prec@5 67.969 (71.763)
Epoch: [48][100/5005] Time 0.205 (0.211) Data 0.049 (0.055) Loss 2.2057 (2.3685) Prec@1 44.141 (45.835) Prec@5 74.609 (71.666)
Epoch: [48][110/5005] Time 0.194 (0.210) Data 0.062 (0.055) Loss 2.4045 (2.3710) Prec@1 47.266 (45.914) Prec@5 69.922 (71.650)
Epoch: [48][120/5005] Time 0.188 (0.209) Data 0.052 (0.055) Loss 2.3788 (2.3750) Prec@1 43.359 (45.900) Prec@5 71.094 (71.546)
Epoch: [48][130/5005] Time 0.201 (0.209) Data 0.067 (0.054) Loss 2.4377 (2.3737) Prec@1 48.047 (45.986) Prec@5 69.141 (71.642)
Epoch: [48][140/5005] Time 0.201 (0.208) Data 0.046 (0.054) Loss 2.2970 (2.3726) Prec@1 44.922 (45.855) Prec@5 72.656 (71.598)
Epoch: [48][150/5005] Time 0.193 (0.207) Data 0.050 (0.054) Loss 2.4463 (2.3719) Prec@1 42.578 (45.892) Prec@5 69.141 (71.619)
Epoch: [48][160/5005] Time 0.208 (0.207) Data 0.050 (0.054) Loss 2.3515 (2.3733) Prec@1 45.703 (45.897) Prec@5 70.703 (71.601)
Epoch: [48][170/5005] Time 0.221 (0.208) Data 0.046 (0.054) Loss 2.5275 (2.3754) Prec@1 45.703 (45.874) Prec@5 70.703 (71.521)
Epoch: [48][180/5005] Time 0.224 (0.209) Data 0.041 (0.053) Loss 2.5925 (2.3772) Prec@1 44.141 (45.884) Prec@5 68.359 (71.506)
Epoch: [48][190/5005] Time 0.224 (0.209) Data 0.042 (0.053) Loss 2.5148 (2.3836) Prec@1 46.484 (45.781) Prec@5 69.141 (71.384)
Epoch: [48][200/5005] Time 0.226 (0.210) Data 0.047 (0.053) Loss 2.5795 (2.3842) Prec@1 40.234 (45.725) Prec@5 67.578 (71.379)
Epoch: [48][210/5005] Time 0.227 (0.210) Data 0.043 (0.052) Loss 2.2446 (2.3839) Prec@1 48.047 (45.703) Prec@5 74.609 (71.394)
Epoch: [48][220/5005] Time 0.222 (0.211) Data 0.043 (0.052) Loss 2.3990 (2.3838) Prec@1 45.703 (45.783) Prec@5 72.266 (71.378)
Epoch: [48][230/5005] Time 0.203 (0.211) Data 0.048 (0.052) Loss 2.5613 (2.3840) Prec@1 43.750 (45.818) Prec@5 70.703 (71.396)
Epoch: [48][240/5005] Time 0.224 (0.211) Data 0.047 (0.052) Loss 2.3174 (2.3837) Prec@1 48.047 (45.836) Prec@5 72.266 (71.415)
Epoch: [48][250/5005] Time 0.219 (0.212) Data 0.052 (0.052) Loss 2.3741 (2.3820) Prec@1 41.797 (45.853) Prec@5 72.266 (71.449)
Epoch: [48][260/5005] Time 0.222 (0.212) Data 0.047 (0.051) Loss 2.2120 (2.3800) Prec@1 44.922 (45.911) Prec@5 75.000 (71.508)
Epoch: [48][270/5005] Time 0.218 (0.212) Data 0.042 (0.051) Loss 2.4163 (2.3789) Prec@1 47.266 (45.948) Prec@5 72.266 (71.531)
Epoch: [48][280/5005] Time 0.220 (0.212) Data 0.044 (0.051) Loss 2.8585 (2.3814) Prec@1 37.891 (45.874) Prec@5 65.234 (71.455)
Epoch: [48][290/5005] Time 0.218 (0.213) Data 0.048 (0.051) Loss 2.3008 (2.3827) Prec@1 44.922 (45.855) Prec@5 71.094 (71.420)
Epoch: [48][300/5005] Time 0.221 (0.213) Data 0.047 (0.051) Loss 2.3449 (2.3827) Prec@1 44.141 (45.854) Prec@5 73.438 (71.416)
Epoch: [48][310/5005] Time 0.219 (0.213) Data 0.047 (0.051) Loss 2.3181 (2.3796) Prec@1 45.703 (45.928) Prec@5 72.266 (71.463)
Epoch: [48][320/5005] Time 0.212 (0.213) Data 0.063 (0.051) Loss 2.5883 (2.3808) Prec@1 41.797 (45.947) Prec@5 67.969 (71.438)
Epoch: [48][330/5005] Time 0.219 (0.213) Data 0.043 (0.051) Loss 2.1937 (2.3793) Prec@1 46.484 (45.970) Prec@5 73.438 (71.464)
Epoch: [48][340/5005] Time 0.215 (0.213) Data 0.050 (0.051) Loss 2.4244 (2.3823) Prec@1 44.531 (45.930) Prec@5 71.875 (71.404)
Epoch: [48][350/5005] Time 0.221 (0.213) Data 0.046 (0.051) Loss 2.4503 (2.3810) Prec@1 44.531 (45.952) Prec@5 71.094 (71.422)
Epoch: [48][360/5005] Time 0.221 (0.214) Data 0.050 (0.050) Loss 2.3962 (2.3814) Prec@1 43.750 (45.933) Prec@5 68.359 (71.404)
Epoch: [48][370/5005] Time 0.217 (0.214) Data 0.042 (0.050) Loss 2.5467 (2.3806) Prec@1 39.062 (45.932) Prec@5 70.703 (71.425)
Epoch: [48][380/5005] Time 0.211 (0.214) Data 0.047 (0.050) Loss 2.3950 (2.3801) Prec@1 46.094 (45.912) Prec@5 67.578 (71.417)
Epoch: [48][390/5005] Time 0.210 (0.214) Data 0.043 (0.050) Loss 2.2538 (2.3798) Prec@1 48.438 (45.903) Prec@5 72.656 (71.418)
Epoch: [48][400/5005] Time 0.215 (0.214) Data 0.045 (0.050) Loss 2.2392 (2.3788) Prec@1 46.094 (45.920) Prec@5 72.656 (71.447)
Epoch: [48][410/5005] Time 0.216 (0.214) Data 0.042 (0.050) Loss 2.1952 (2.3786) Prec@1 45.312 (45.919) Prec@5 74.609 (71.450)
Epoch: [48][420/5005] Time 0.215 (0.214) Data 0.058 (0.050) Loss 2.2621 (2.3775) Prec@1 50.781 (45.943) Prec@5 73.438 (71.473)
Epoch: [48][430/5005] Time 0.217 (0.214) Data 0.040 (0.050) Loss 2.3074 (2.3782) Prec@1 47.266 (45.922) Prec@5 72.266 (71.445)
Epoch: [48][440/5005] Time 0.220 (0.214) Data 0.043 (0.050) Loss 2.1873 (2.3767) Prec@1 48.438 (45.927) Prec@5 75.391 (71.464)
Epoch: [48][450/5005] Time 0.206 (0.214) Data 0.053 (0.050) Loss 2.2635 (2.3781) Prec@1 49.609 (45.905) Prec@5 72.656 (71.414)
Epoch: [48][460/5005] Time 0.214 (0.214) Data 0.041 (0.050) Loss 2.4397 (2.3780) Prec@1 41.406 (45.907) Prec@5 68.750 (71.430)
Epoch: [48][470/5005] Time 0.216 (0.214) Data 0.042 (0.050) Loss 2.3262 (2.3795) Prec@1 46.094 (45.899) Prec@5 71.484 (71.399)
Epoch: [48][480/5005] Time 0.217 (0.214) Data 0.051 (0.050) Loss 2.3889 (2.3799) Prec@1 43.359 (45.865) Prec@5 71.484 (71.391)
Epoch: [48][490/5005] Time 0.212 (0.214) Data 0.043 (0.050) Loss 2.2321 (2.3803) Prec@1 50.781 (45.857) Prec@5 75.000 (71.402)
Epoch: [48][500/5005] Time 0.202 (0.214) Data 0.069 (0.050) Loss 2.5282 (2.3822) Prec@1 44.531 (45.842) Prec@5 68.359 (71.364)
Epoch: [48][510/5005] Time 0.204 (0.214) Data 0.045 (0.050) Loss 2.5592 (2.3825) Prec@1 44.141 (45.832) Prec@5 67.188 (71.358)
Epoch: [48][520/5005] Time 0.213 (0.214) Data 0.042 (0.050) Loss 2.3209 (2.3826) Prec@1 47.656 (45.831) Prec@5 71.094 (71.368)
Epoch: [48][530/5005] Time 0.219 (0.214) Data 0.042 (0.050) Loss 2.2900 (2.3817) Prec@1 46.484 (45.841) Prec@5 70.312 (71.376)
Epoch: [48][540/5005] Time 0.224 (0.214) Data 0.043 (0.050) Loss 2.5989 (2.3831) Prec@1 42.188 (45.796) Prec@5 67.969 (71.345)
Epoch: [48][550/5005] Time 0.221 (0.214) Data 0.041 (0.050) Loss 2.3587 (2.3824) Prec@1 46.094 (45.814) Prec@5 74.609 (71.365)
Epoch: [48][560/5005] Time 0.216 (0.214) Data 0.058 (0.050) Loss 2.4301 (2.3814) Prec@1 46.094 (45.830) Prec@5 71.094 (71.383)
Epoch: [48][570/5005] Time 0.211 (0.214) Data 0.043 (0.050) Loss 2.5604 (2.3819) Prec@1 46.094 (45.822) Prec@5 69.141 (71.367)
Epoch: [48][580/5005] Time 0.220 (0.214) Data 0.043 (0.050) Loss 2.3919 (2.3810) Prec@1 46.484 (45.832) Prec@5 71.875 (71.376)
Epoch: [48][590/5005] Time 0.213 (0.214) Data 0.050 (0.049) Loss 2.5259 (2.3808) Prec@1 42.969 (45.837) Prec@5 67.578 (71.377)
Epoch: [48][600/5005] Time 0.217 (0.214) Data 0.044 (0.049) Loss 2.4181 (2.3818) Prec@1 47.656 (45.848) Prec@5 69.531 (71.369)
Epoch: [48][610/5005] Time 0.214 (0.214) Data 0.045 (0.049) Loss 2.3041 (2.3821) Prec@1 46.094 (45.841) Prec@5 76.562 (71.376)
Epoch: [48][620/5005] Time 0.213 (0.214) Data 0.044 (0.049) Loss 2.3462 (2.3814) Prec@1 45.703 (45.868) Prec@5 70.703 (71.398)
Epoch: [48][630/5005] Time 0.209 (0.214) Data 0.060 (0.049) Loss 2.4953 (2.3814) Prec@1 47.266 (45.880) Prec@5 68.359 (71.413)
Epoch: [48][640/5005] Time 0.225 (0.214) Data 0.045 (0.049) Loss 2.3135 (2.3810) Prec@1 43.359 (45.868) Prec@5 73.828 (71.422)
Epoch: [48][650/5005] Time 0.223 (0.214) Data 0.047 (0.049) Loss 2.5571 (2.3819) Prec@1 41.016 (45.863) Prec@5 68.750 (71.414)
Epoch: [48][660/5005] Time 0.218 (0.214) Data 0.053 (0.050) Loss 2.3894 (2.3811) Prec@1 43.750 (45.879) Prec@5 74.609 (71.433)
Epoch: [48][670/5005] Time 0.209 (0.214) Data 0.043 (0.049) Loss 2.5257 (2.3808) Prec@1 46.094 (45.899) Prec@5 69.531 (71.437)
Epoch: [48][680/5005] Time 0.221 (0.214) Data 0.044 (0.049) Loss 2.3538 (2.3809) Prec@1 45.703 (45.902) Prec@5 74.609 (71.427)
Epoch: [48][690/5005] Time 0.209 (0.214) Data 0.052 (0.049) Loss 2.2341 (2.3805) Prec@1 46.484 (45.919) Prec@5 76.953 (71.436)
Epoch: [48][700/5005] Time 0.223 (0.214) Data 0.062 (0.049) Loss 2.3926 (2.3809) Prec@1 45.312 (45.913) Prec@5 69.531 (71.426)
Epoch: [48][710/5005] Time 0.223 (0.214) Data 0.046 (0.050) Loss 2.1290 (2.3807) Prec@1 48.047 (45.896) Prec@5 75.391 (71.432)
Epoch: [48][720/5005] Time 0.210 (0.214) Data 0.043 (0.050) Loss 2.1483 (2.3797) Prec@1 47.266 (45.919) Prec@5 75.781 (71.452)
Epoch: [48][730/5005] Time 0.226 (0.214) Data 0.049 (0.050) Loss 2.5449 (2.3799) Prec@1 47.656 (45.924) Prec@5 68.750 (71.448)
Epoch: [48][740/5005] Time 0.212 (0.214) Data 0.054 (0.050) Loss 2.5739 (2.3798) Prec@1 44.531 (45.929) Prec@5 68.750 (71.451)
Epoch: [48][750/5005] Time 0.219 (0.214) Data 0.046 (0.050) Loss 2.1973 (2.3799) Prec@1 51.172 (45.921) Prec@5 73.438 (71.447)
Epoch: [48][760/5005] Time 0.216 (0.214) Data 0.043 (0.050) Loss 2.4621 (2.3802) Prec@1 41.016 (45.918) Prec@5 70.312 (71.435)
Epoch: [48][770/5005] Time 0.217 (0.214) Data 0.044 (0.050) Loss 2.3857 (2.3792) Prec@1 47.266 (45.952) Prec@5 67.188 (71.445)
Epoch: [48][780/5005] Time 0.213 (0.214) Data 0.046 (0.050) Loss 2.3950 (2.3790) Prec@1 47.266 (45.958) Prec@5 72.266 (71.443)
Epoch: [48][790/5005] Time 0.215 (0.214) Data 0.044 (0.049) Loss 2.4889 (2.3789) Prec@1 42.188 (45.957) Prec@5 71.094 (71.443)
Epoch: [48][800/5005] Time 0.217 (0.214) Data 0.045 (0.049) Loss 2.1631 (2.3781) Prec@1 46.484 (45.971) Prec@5 75.391 (71.454)
Epoch: [48][810/5005] Time 0.212 (0.214) Data 0.040 (0.049) Loss 2.4899 (2.3789) Prec@1 42.578 (45.963) Prec@5 72.266 (71.449)
Epoch: [48][820/5005] Time 0.208 (0.214) Data 0.044 (0.049) Loss 2.4775 (2.3793) Prec@1 44.922 (45.947) Prec@5 69.531 (71.454)
Epoch: [48][830/5005] Time 0.210 (0.214) Data 0.043 (0.049) Loss 2.2394 (2.3791) Prec@1 47.266 (45.941) Prec@5 74.219 (71.454)
Epoch: [48][840/5005] Time 0.218 (0.214) Data 0.043 (0.049) Loss 2.3790 (2.3792) Prec@1 47.656 (45.947) Prec@5 69.922 (71.457)
Epoch: [48][850/5005] Time 0.214 (0.213) Data 0.044 (0.049) Loss 2.5472 (2.3783) Prec@1 45.312 (45.956) Prec@5 69.922 (71.474)
Epoch: [48][860/5005] Time 0.211 (0.213) Data 0.046 (0.049) Loss 2.4629 (2.3790) Prec@1 42.578 (45.935) Prec@5 71.484 (71.469)
Epoch: [48][870/5005] Time 0.213 (0.213) Data 0.046 (0.049) Loss 2.3841 (2.3779) Prec@1 45.312 (45.964) Prec@5 72.266 (71.483)
Epoch: [48][880/5005] Time 0.196 (0.213) Data 0.061 (0.049) Loss 2.3349 (2.3782) Prec@1 47.656 (45.950) Prec@5 71.094 (71.481)
Epoch: [48][890/5005] Time 0.219 (0.213) Data 0.043 (0.049) Loss 2.6231 (2.3780) Prec@1 39.844 (45.941) Prec@5 66.797 (71.484)
Epoch: [48][900/5005] Time 0.211 (0.213) Data 0.041 (0.049) Loss 2.2789 (2.3772) Prec@1 44.531 (45.941) Prec@5 73.828 (71.500)
Epoch: [48][910/5005] Time 0.212 (0.213) Data 0.044 (0.049) Loss 2.4146 (2.3772) Prec@1 44.531 (45.938) Prec@5 73.828 (71.498)
Epoch: [48][920/5005] Time 0.213 (0.213) Data 0.044 (0.049) Loss 2.2839 (2.3765) Prec@1 47.656 (45.944) Prec@5 73.047 (71.511)
Epoch: [48][930/5005] Time 0.208 (0.213) Data 0.042 (0.049) Loss 2.4196 (2.3760) Prec@1 48.047 (45.965) Prec@5 67.578 (71.512)
Epoch: [48][940/5005] Time 0.214 (0.213) Data 0.044 (0.049) Loss 2.2255 (2.3759) Prec@1 48.438 (45.964) Prec@5 73.438 (71.520)
Epoch: [48][950/5005] Time 0.204 (0.213) Data 0.041 (0.049) Loss 2.5028 (2.3767) Prec@1 42.969 (45.964) Prec@5 71.875 (71.514)
Epoch: [48][960/5005] Time 0.213 (0.213) Data 0.043 (0.049) Loss 2.6100 (2.3772) Prec@1 41.797 (45.960) Prec@5 67.969 (71.510)
Epoch: [48][970/5005] Time 0.214 (0.213) Data 0.044 (0.049) Loss 2.2605 (2.3773) Prec@1 46.094 (45.960) Prec@5 73.438 (71.508)
Epoch: [48][980/5005] Time 0.221 (0.213) Data 0.045 (0.049) Loss 2.3358 (2.3766) Prec@1 45.312 (45.972) Prec@5 70.703 (71.519)
Epoch: [48][990/5005] Time 0.215 (0.213) Data 0.041 (0.049) Loss 2.4326 (2.3771) Prec@1 45.312 (45.960) Prec@5 69.531 (71.508)
Epoch: [48][1000/5005] Time 0.212 (0.213) Data 0.046 (0.049) Loss 2.3278 (2.3767) Prec@1 49.219 (45.974) Prec@5 70.703 (71.512)
Epoch: [48][1010/5005] Time 0.216 (0.213) Data 0.044 (0.049) Loss 2.2980 (2.3765) Prec@1 48.438 (45.966) Prec@5 73.438 (71.526)
Epoch: [48][1020/5005] Time 0.204 (0.213) Data 0.041 (0.049) Loss 2.2000 (2.3774) Prec@1 51.562 (45.961) Prec@5 73.438 (71.501)
Epoch: [48][1030/5005] Time 0.203 (0.214) Data 0.051 (0.049) Loss 2.2815 (2.3770) Prec@1 46.875 (45.957) Prec@5 73.828 (71.503)
Epoch: [48][1040/5005] Time 0.201 (0.214) Data 0.042 (0.049) Loss 2.4144 (2.3767) Prec@1 44.922 (45.966) Prec@5 71.875 (71.508)
Epoch: [48][1050/5005] Time 0.210 (0.214) Data 0.043 (0.049) Loss 2.4261 (2.3768) Prec@1 45.312 (45.958) Prec@5 71.094 (71.509)
Epoch: [48][1060/5005] Time 0.209 (0.214) Data 0.043 (0.048) Loss 2.4395 (2.3774) Prec@1 44.141 (45.943) Prec@5 71.094 (71.495)
Epoch: [48][1070/5005] Time 0.205 (0.214) Data 0.058 (0.048) Loss 2.4548 (2.3775) Prec@1 42.188 (45.946) Prec@5 71.484 (71.488)
Epoch: [48][1080/5005] Time 0.212 (0.214) Data 0.043 (0.049) Loss 2.4175 (2.3777) Prec@1 46.484 (45.948) Prec@5 69.922 (71.485)
Epoch: [48][1090/5005] Time 0.211 (0.214) Data 0.043 (0.049) Loss 2.1635 (2.3773) Prec@1 51.953 (45.951) Prec@5 73.828 (71.494)
Epoch: [48][1100/5005] Time 0.211 (0.214) Data 0.061 (0.049) Loss 2.2829 (2.3772) Prec@1 49.219 (45.957) Prec@5 73.047 (71.500)
Epoch: [48][1110/5005] Time 0.207 (0.214) Data 0.043 (0.049) Loss 2.5106 (2.3772) Prec@1 39.062 (45.959) Prec@5 69.141 (71.507)
Epoch: [48][1120/5005] Time 0.212 (0.214) Data 0.044 (0.049) Loss 2.2323 (2.3764) Prec@1 50.391 (45.970) Prec@5 73.047 (71.522)
Epoch: [48][1130/5005] Time 0.212 (0.214) Data 0.044 (0.049) Loss 2.2872 (2.3765) Prec@1 47.656 (45.971) Prec@5 74.609 (71.520)
Epoch: [48][1140/5005] Time 0.212 (0.214) Data 0.043 (0.048) Loss 2.3747 (2.3761) Prec@1 46.875 (45.978) Prec@5 70.312 (71.530)
Epoch: [48][1150/5005] Time 0.212 (0.214) Data 0.044 (0.048) Loss 2.3031 (2.3755) Prec@1 43.359 (45.985) Prec@5 73.438 (71.539)
Epoch: [48][1160/5005] Time 0.213 (0.214) Data 0.051 (0.048) Loss 2.3533 (2.3753) Prec@1 47.656 (46.003) Prec@5 72.266 (71.549)
Epoch: [48][1170/5005] Time 0.206 (0.214) Data 0.056 (0.048) Loss 2.2857 (2.3750) Prec@1 45.703 (46.006) Prec@5 76.953 (71.552)
Epoch: [48][1180/5005] Time 0.210 (0.214) Data 0.056 (0.048) Loss 2.4870 (2.3750) Prec@1 44.531 (46.006) Prec@5 69.922 (71.552)
Epoch: [48][1190/5005] Time 0.202 (0.214) Data 0.062 (0.049) Loss 2.2534 (2.3744) Prec@1 47.266 (46.018) Prec@5 74.609 (71.562)
Epoch: [48][1200/5005] Time 0.215 (0.214) Data 0.048 (0.049) Loss 2.5655 (2.3745) Prec@1 41.016 (46.018) Prec@5 69.922 (71.553)
Epoch: [48][1210/5005] Time 0.204 (0.214) Data 0.052 (0.049) Loss 2.4535 (2.3750) Prec@1 43.750 (46.013) Prec@5 69.922 (71.546)
Epoch: [48][1220/5005] Time 0.201 (0.214) Data 0.042 (0.049) Loss 2.3830 (2.3750) Prec@1 48.828 (46.020) Prec@5 73.047 (71.549)
Epoch: [48][1230/5005] Time 0.212 (0.214) Data 0.048 (0.049) Loss 2.4105 (2.3751) Prec@1 46.484 (46.015) Prec@5 73.438 (71.553)
Epoch: [48][1240/5005] Time 0.211 (0.214) Data 0.048 (0.049) Loss 2.3306 (2.3750) Prec@1 46.484 (46.019) Prec@5 73.047 (71.550)
Epoch: [48][1250/5005] Time 0.207 (0.214) Data 0.043 (0.048) Loss 2.6319 (2.3751) Prec@1 44.141 (46.015) Prec@5 64.844 (71.547)
Epoch: [48][1260/5005] Time 0.214 (0.214) Data 0.043 (0.048) Loss 2.1109 (2.3742) Prec@1 51.172 (46.034) Prec@5 74.219 (71.563)
Epoch: [48][1270/5005] Time 0.214 (0.214) Data 0.042 (0.048) Loss 2.3811 (2.3746) Prec@1 44.141 (46.032) Prec@5 72.656 (71.559)
Epoch: [48][1280/5005] Time 0.207 (0.214) Data 0.049 (0.048) Loss 2.3976 (2.3750) Prec@1 44.922 (46.019) Prec@5 71.484 (71.555)
Epoch: [48][1290/5005] Time 0.210 (0.214) Data 0.041 (0.048) Loss 2.0833 (2.3744) Prec@1 54.297 (46.038) Prec@5 75.781 (71.564)
Epoch: [48][1300/5005] Time 0.214 (0.214) Data 0.053 (0.048) Loss 2.3547 (2.3743) Prec@1 47.656 (46.044) Prec@5 70.703 (71.563)
Epoch: [48][1310/5005] Time 0.212 (0.213) Data 0.049 (0.048) Loss 2.3789 (2.3742) Prec@1 46.875 (46.041) Prec@5 73.047 (71.574)
Epoch: [48][1320/5005] Time 0.212 (0.213) Data 0.045 (0.048) Loss 2.4450 (2.3740) Prec@1 47.266 (46.041) Prec@5 73.438 (71.581)
Epoch: [48][1330/5005] Time 0.210 (0.213) Data 0.046 (0.048) Loss 2.5852 (2.3745) Prec@1 39.844 (46.025) Prec@5 67.969 (71.570)
Epoch: [48][1340/5005] Time 0.209 (0.213) Data 0.043 (0.048) Loss 2.3178 (2.3744) Prec@1 47.656 (46.021) Prec@5 72.266 (71.573)
Epoch: [48][1350/5005] Time 0.210 (0.213) Data 0.046 (0.048) Loss 2.6676 (2.3745) Prec@1 44.531 (46.021) Prec@5 69.531 (71.573)
Epoch: [48][1360/5005] Time 0.209 (0.213) Data 0.042 (0.048) Loss 2.1033 (2.3743) Prec@1 54.297 (46.024) Prec@5 75.000 (71.575)
Epoch: [48][1370/5005] Time 0.195 (0.213) Data 0.059 (0.048) Loss 2.4254 (2.3740) Prec@1 46.094 (46.023) Prec@5 67.188 (71.579)
Epoch: [48][1380/5005] Time 0.208 (0.213) Data 0.050 (0.048) Loss 2.4439 (2.3737) Prec@1 47.266 (46.028) Prec@5 73.047 (71.592)
Epoch: [48][1390/5005] Time 0.208 (0.213) Data 0.061 (0.048) Loss 2.2265 (2.3737) Prec@1 52.344 (46.032) Prec@5 73.438 (71.598)
Epoch: [48][1400/5005] Time 0.217 (0.213) Data 0.044 (0.048) Loss 2.3203 (2.3728) Prec@1 44.531 (46.038) Prec@5 73.438 (71.619)
Epoch: [48][1410/5005] Time 0.203 (0.213) Data 0.043 (0.048) Loss 2.2887 (2.3725) Prec@1 46.484 (46.050) Prec@5 75.391 (71.621)
Epoch: [48][1420/5005] Time 0.216 (0.213) Data 0.043 (0.048) Loss 2.6173 (2.3725) Prec@1 44.141 (46.052) Prec@5 68.359 (71.618)
Epoch: [48][1430/5005] Time 0.209 (0.213) Data 0.039 (0.048) Loss 1.9515 (2.3722) Prec@1 53.906 (46.057) Prec@5 77.344 (71.628)
Epoch: [48][1440/5005] Time 0.210 (0.213) Data 0.042 (0.048) Loss 2.1522 (2.3720) Prec@1 48.047 (46.057) Prec@5 76.562 (71.632)
Epoch: [48][1450/5005] Time 0.209 (0.213) Data 0.045 (0.048) Loss 2.2769 (2.3717) Prec@1 51.562 (46.068) Prec@5 72.656 (71.627)
Epoch: [48][1460/5005] Time 0.207 (0.213) Data 0.040 (0.048) Loss 2.4360 (2.3717) Prec@1 45.312 (46.079) Prec@5 67.969 (71.624)
Epoch: [48][1470/5005] Time 0.215 (0.213) Data 0.043 (0.048) Loss 2.4707 (2.3718) Prec@1 45.703 (46.081) Prec@5 71.484 (71.620)
Epoch: [48][1480/5005] Time 0.209 (0.213) Data 0.041 (0.048) Loss 2.2171 (2.3722) Prec@1 48.047 (46.076) Prec@5 75.781 (71.617)
Epoch: [48][1490/5005] Time 0.204 (0.213) Data 0.049 (0.048) Loss 2.4814 (2.3719) Prec@1 44.531 (46.081) Prec@5 69.531 (71.624)
Epoch: [48][1500/5005] Time 0.214 (0.213) Data 0.045 (0.048) Loss 2.3378 (2.3719) Prec@1 52.344 (46.090) Prec@5 73.438 (71.629)
Epoch: [48][1510/5005] Time 0.213 (0.213) Data 0.043 (0.048) Loss 2.2184 (2.3717) Prec@1 48.047 (46.090) Prec@5 72.266 (71.630)
Epoch: [48][1520/5005] Time 0.214 (0.213) Data 0.043 (0.048) Loss 2.4603 (2.3715) Prec@1 42.969 (46.090) Prec@5 69.141 (71.632)
Epoch: [48][1530/5005] Time 0.212 (0.213) Data 0.045 (0.048) Loss 2.3168 (2.3713) Prec@1 46.484 (46.101) Prec@5 73.047 (71.635)
Epoch: [48][1540/5005] Time 0.210 (0.213) Data 0.045 (0.048) Loss 2.4546 (2.3714) Prec@1 44.141 (46.097) Prec@5 67.188 (71.629)
Epoch: [48][1550/5005] Time 0.216 (0.213) Data 0.045 (0.048) Loss 2.3280 (2.3711) Prec@1 45.703 (46.095) Prec@5 73.828 (71.637)
Epoch: [48][1560/5005] Time 0.208 (0.213) Data 0.043 (0.048) Loss 2.2672 (2.3713) Prec@1 47.656 (46.099) Prec@5 70.703 (71.633)
Epoch: [48][1570/5005] Time 0.210 (0.213) Data 0.043 (0.048) Loss 2.2439 (2.3708) Prec@1 47.656 (46.107) Prec@5 72.656 (71.636)
Epoch: [48][1580/5005] Time 0.209 (0.213) Data 0.044 (0.048) Loss 2.2622 (2.3709) Prec@1 47.656 (46.104) Prec@5 71.484 (71.629)
Epoch: [48][1590/5005] Time 0.216 (0.213) Data 0.042 (0.048) Loss 2.3228 (2.3709) Prec@1 48.828 (46.108) Prec@5 72.656 (71.628)
Epoch: [48][1600/5005] Time 0.207 (0.213) Data 0.048 (0.048) Loss 2.4865 (2.3709) Prec@1 45.312 (46.107) Prec@5 69.922 (71.631)
Epoch: [48][1610/5005] Time 0.204 (0.213) Data 0.043 (0.048) Loss 2.3999 (2.3709) Prec@1 46.875 (46.110) Prec@5 73.047 (71.633)
Epoch: [48][1620/5005] Time 0.209 (0.213) Data 0.055 (0.048) Loss 2.6869 (2.3707) Prec@1 38.281 (46.105) Prec@5 67.578 (71.634)
Epoch: [48][1630/5005] Time 0.204 (0.213) Data 0.049 (0.048) Loss 2.2795 (2.3709) Prec@1 46.484 (46.102) Prec@5 72.656 (71.635)
Epoch: [48][1640/5005] Time 0.211 (0.213) Data 0.045 (0.048) Loss 2.4535 (2.3710) Prec@1 46.484 (46.105) Prec@5 69.922 (71.634)
Epoch: [48][1650/5005] Time 0.202 (0.213) Data 0.068 (0.048) Loss 2.3851 (2.3708) Prec@1 44.922 (46.111) Prec@5 70.703 (71.641)
Epoch: [48][1660/5005] Time 0.207 (0.213) Data 0.058 (0.048) Loss 2.2640 (2.3704) Prec@1 48.438 (46.128) Prec@5 73.438 (71.652)
Epoch: [48][1670/5005] Time 0.205 (0.213) Data 0.053 (0.048) Loss 2.1280 (2.3704) Prec@1 52.734 (46.130) Prec@5 73.047 (71.649)
Epoch: [48][1680/5005] Time 0.214 (0.213) Data 0.044 (0.048) Loss 2.5536 (2.3706) Prec@1 45.703 (46.126) Prec@5 69.922 (71.653)
Epoch: [48][1690/5005] Time 0.203 (0.213) Data 0.050 (0.048) Loss 2.0987 (2.3703) Prec@1 50.391 (46.130) Prec@5 75.391 (71.660)
Epoch: [48][1700/5005] Time 0.211 (0.213) Data 0.049 (0.048) Loss 2.3037 (2.3699) Prec@1 46.484 (46.131) Prec@5 74.609 (71.663)
Epoch: [48][1710/5005] Time 0.214 (0.213) Data 0.053 (0.048) Loss 2.2814 (2.3695) Prec@1 48.047 (46.138) Prec@5 74.219 (71.675)
Epoch: [48][1720/5005] Time 0.205 (0.213) Data 0.047 (0.048) Loss 2.3962 (2.3695) Prec@1 46.094 (46.132) Prec@5 73.438 (71.676)
Epoch: [48][1730/5005] Time 0.194 (0.213) Data 0.054 (0.048) Loss 2.2998 (2.3694) Prec@1 45.312 (46.134) Prec@5 73.438 (71.677)
Epoch: [48][1740/5005] Time 0.212 (0.213) Data 0.047 (0.048) Loss 2.5946 (2.3693) Prec@1 43.750 (46.140) Prec@5 68.359 (71.681)
Epoch: [48][1750/5005] Time 0.214 (0.213) Data 0.049 (0.048) Loss 2.3918 (2.3692) Prec@1 41.406 (46.138) Prec@5 73.047 (71.685)
Epoch: [48][1760/5005] Time 0.209 (0.213) Data 0.050 (0.048) Loss 2.1212 (2.3691) Prec@1 51.172 (46.135) Prec@5 77.734 (71.687)
Epoch: [48][1770/5005] Time 0.203 (0.213) Data 0.047 (0.048) Loss 2.5355 (2.3691) Prec@1 44.531 (46.133) Prec@5 67.578 (71.687)
Epoch: [48][1780/5005] Time 0.195 (0.213) Data 0.061 (0.048) Loss 2.3875 (2.3690) Prec@1 45.312 (46.129) Prec@5 71.094 (71.687)
Epoch: [48][1790/5005] Time 0.209 (0.212) Data 0.060 (0.048) Loss 2.1478 (2.3688) Prec@1 49.609 (46.134) Prec@5 73.828 (71.693)
Epoch: [48][1800/5005] Time 0.205 (0.212) Data 0.043 (0.048) Loss 2.3279 (2.3687) Prec@1 44.141 (46.138) Prec@5 72.266 (71.692)
Epoch: [48][1810/5005] Time 0.202 (0.212) Data 0.061 (0.048) Loss 2.3827 (2.3686) Prec@1 46.094 (46.134) Prec@5 71.484 (71.697)
Epoch: [48][1820/5005] Time 0.216 (0.212) Data 0.044 (0.048) Loss 2.3738 (2.3686) Prec@1 42.578 (46.133) Prec@5 69.922 (71.698)
Epoch: [48][1830/5005] Time 0.218 (0.212) Data 0.047 (0.048) Loss 2.1227 (2.3682) Prec@1 50.391 (46.142) Prec@5 74.219 (71.706)
Epoch: [48][1840/5005] Time 0.207 (0.212) Data 0.044 (0.048) Loss 2.4527 (2.3681) Prec@1 46.094 (46.142) Prec@5 72.266 (71.706)
Epoch: [48][1850/5005] Time 0.207 (0.212) Data 0.049 (0.048) Loss 2.4504 (2.3681) Prec@1 46.484 (46.138) Prec@5 71.875 (71.710)
Epoch: [48][1860/5005] Time 0.197 (0.212) Data 0.045 (0.048) Loss 2.4253 (2.3680) Prec@1 46.484 (46.137) Prec@5 68.750 (71.714)
Epoch: [48][1870/5005] Time 0.206 (0.212) Data 0.057 (0.048) Loss 2.6126 (2.3683) Prec@1 41.406 (46.127) Prec@5 67.969 (71.712)
Epoch: [48][1880/5005] Time 0.212 (0.212) Data 0.043 (0.048) Loss 2.4966 (2.3685) Prec@1 45.312 (46.128) Prec@5 66.797 (71.704)
Epoch: [48][1890/5005] Time 0.212 (0.212) Data 0.043 (0.048) Loss 2.3810 (2.3685) Prec@1 46.484 (46.128) Prec@5 73.828 (71.704)
Epoch: [48][1900/5005] Time 0.204 (0.212) Data 0.056 (0.048) Loss 2.3574 (2.3689) Prec@1 43.750 (46.123) Prec@5 74.219 (71.696)
Epoch: [48][1910/5005] Time 0.209 (0.212) Data 0.047 (0.048) Loss 2.3702 (2.3688) Prec@1 45.312 (46.123) Prec@5 75.000 (71.696)
Epoch: [48][1920/5005] Time 0.221 (0.212) Data 0.052 (0.048) Loss 2.2205 (2.3683) Prec@1 48.828 (46.126) Prec@5 76.562 (71.703)
Epoch: [48][1930/5005] Time 0.211 (0.212) Data 0.044 (0.048) Loss 2.3020 (2.3684) Prec@1 45.703 (46.125) Prec@5 72.656 (71.704)
Epoch: [48][1940/5005] Time 0.211 (0.212) Data 0.042 (0.048) Loss 2.2368 (2.3683) Prec@1 49.609 (46.124) Prec@5 73.438 (71.709)
Epoch: [48][1950/5005] Time 0.219 (0.212) Data 0.042 (0.048) Loss 2.4448 (2.3684) Prec@1 43.359 (46.128) Prec@5 70.312 (71.715)
Epoch: [48][1960/5005] Time 0.208 (0.212) Data 0.043 (0.048) Loss 2.3945 (2.3683) Prec@1 47.266 (46.137) Prec@5 69.141 (71.713)
Epoch: [48][1970/5005] Time 0.209 (0.212) Data 0.064 (0.048) Loss 2.3641 (2.3685) Prec@1 43.750 (46.137) Prec@5 72.266 (71.710)
Epoch: [48][1980/5005] Time 0.206 (0.212) Data 0.044 (0.048) Loss 2.1488 (2.3682) Prec@1 48.438 (46.145) Prec@5 74.219 (71.716)
Epoch: [48][1990/5005] Time 0.203 (0.212) Data 0.050 (0.048) Loss 2.1718 (2.3680) Prec@1 45.703 (46.141) Prec@5 74.609 (71.717)
Epoch: [48][2000/5005] Time 0.199 (0.212) Data 0.052 (0.048) Loss 2.2099 (2.3683) Prec@1 50.781 (46.139) Prec@5 73.828 (71.712)
Epoch: [48][2010/5005] Time 0.208 (0.212) Data 0.059 (0.048) Loss 2.3650 (2.3683) Prec@1 47.266 (46.141) Prec@5 75.000 (71.708)
Epoch: [48][2020/5005] Time 0.216 (0.212) Data 0.042 (0.048) Loss 2.3877 (2.3685) Prec@1 47.266 (46.136) Prec@5 70.703 (71.702)
Epoch: [48][2030/5005] Time 0.210 (0.212) Data 0.046 (0.048) Loss 2.3317 (2.3687) Prec@1 46.875 (46.132) Prec@5 75.391 (71.694)
Epoch: [48][2040/5005] Time 0.204 (0.212) Data 0.046 (0.048) Loss 2.1119 (2.3685) Prec@1 46.875 (46.128) Prec@5 76.953 (71.701)
Epoch: [48][2050/5005] Time 0.208 (0.212) Data 0.058 (0.048) Loss 2.4035 (2.3682) Prec@1 46.875 (46.131) Prec@5 71.094 (71.699)
Epoch: [48][2060/5005] Time 0.218 (0.212) Data 0.042 (0.048) Loss 2.3690 (2.3682) Prec@1 44.531 (46.132) Prec@5 74.609 (71.701)
Epoch: [48][2070/5005] Time 0.205 (0.212) Data 0.044 (0.048) Loss 2.4693 (2.3682) Prec@1 44.531 (46.128) Prec@5 71.484 (71.692)
Epoch: [48][2080/5005] Time 0.220 (0.212) Data 0.041 (0.048) Loss 2.4994 (2.3683) Prec@1 44.141 (46.130) Prec@5 72.656 (71.693)
Epoch: [48][2090/5005] Time 0.199 (0.212) Data 0.041 (0.048) Loss 2.1899 (2.3679) Prec@1 50.000 (46.136) Prec@5 75.781 (71.700)
Epoch: [48][2100/5005] Time 0.211 (0.212) Data 0.044 (0.048) Loss 2.4671 (2.3677) Prec@1 46.094 (46.139) Prec@5 70.703 (71.703)
Epoch: [48][2110/5005] Time 0.219 (0.212) Data 0.046 (0.048) Loss 2.2041 (2.3676) Prec@1 49.219 (46.144) Prec@5 74.219 (71.704)
Epoch: [48][2120/5005] Time 0.202 (0.212) Data 0.047 (0.048) Loss 2.4599 (2.3677) Prec@1 44.531 (46.140) Prec@5 71.875 (71.702)
Epoch: [48][2130/5005] Time 0.207 (0.212) Data 0.045 (0.048) Loss 2.4226 (2.3674) Prec@1 46.484 (46.145) Prec@5 71.875 (71.706)
Epoch: [48][2140/5005] Time 0.210 (0.212) Data 0.046 (0.048) Loss 2.2022 (2.3674) Prec@1 52.344 (46.147) Prec@5 74.219 (71.706)
Epoch: [48][2150/5005] Time 0.200 (0.212) Data 0.050 (0.048) Loss 2.2613 (2.3674) Prec@1 49.219 (46.147) Prec@5 73.828 (71.704)
Epoch: [48][2160/5005] Time 0.204 (0.212) Data 0.043 (0.048) Loss 2.2745 (2.3672) Prec@1 50.000 (46.152) Prec@5 72.266 (71.710)
Epoch: [48][2170/5005] Time 0.208 (0.212) Data 0.043 (0.048) Loss 2.2869 (2.3669) Prec@1 49.609 (46.158) Prec@5 74.219 (71.719)
Epoch: [48][2180/5005] Time 0.203 (0.212) Data 0.046 (0.048) Loss 2.4536 (2.3669) Prec@1 45.312 (46.159) Prec@5 69.141 (71.719)
Epoch: [48][2190/5005] Time 0.213 (0.212) Data 0.042 (0.048) Loss 2.7632 (2.3670) Prec@1 37.891 (46.159) Prec@5 65.234 (71.717)
Epoch: [48][2200/5005] Time 0.205 (0.212) Data 0.043 (0.048) Loss 2.5671 (2.3673) Prec@1 42.969 (46.154) Prec@5 67.969 (71.712)
Epoch: [48][2210/5005] Time 0.210 (0.212) Data 0.043 (0.048) Loss 2.4657 (2.3675) Prec@1 43.750 (46.154) Prec@5 71.094 (71.707)
Epoch: [48][2220/5005] Time 0.204 (0.212) Data 0.049 (0.048) Loss 2.4157 (2.3673) Prec@1 50.000 (46.157) Prec@5 67.188 (71.709)
Epoch: [48][2230/5005] Time 0.194 (0.212) Data 0.046 (0.048) Loss 2.3669 (2.3674) Prec@1 48.438 (46.157) Prec@5 73.047 (71.710)
Epoch: [48][2240/5005] Time 0.211 (0.212) Data 0.042 (0.048) Loss 2.3958 (2.3675) Prec@1 44.922 (46.150) Prec@5 70.312 (71.707)
Epoch: [48][2250/5005] Time 0.204 (0.212) Data 0.051 (0.048) Loss 2.1879 (2.3674) Prec@1 45.703 (46.147) Prec@5 75.781 (71.709)
Epoch: [48][2260/5005] Time 0.203 (0.212) Data 0.048 (0.048) Loss 2.2912 (2.3671) Prec@1 50.781 (46.153) Prec@5 71.094 (71.711)
Epoch: [48][2270/5005] Time 0.204 (0.212) Data 0.049 (0.048) Loss 2.4973 (2.3670) Prec@1 41.797 (46.155) Prec@5 69.141 (71.711)
Epoch: [48][2280/5005] Time 0.211 (0.212) Data 0.044 (0.048) Loss 2.4164 (2.3671) Prec@1 44.531 (46.157) Prec@5 74.609 (71.712)
Epoch: [48][2290/5005] Time 0.207 (0.212) Data 0.046 (0.048) Loss 2.2080 (2.3671) Prec@1 50.781 (46.158) Prec@5 75.391 (71.715)
Epoch: [48][2300/5005] Time 0.212 (0.212) Data 0.044 (0.048) Loss 2.3212 (2.3672) Prec@1 48.828 (46.157) Prec@5 70.703 (71.711)
Epoch: [48][2310/5005] Time 0.206 (0.212) Data 0.043 (0.048) Loss 2.2986 (2.3670) Prec@1 49.609 (46.163) Prec@5 69.141 (71.714)
Epoch: [48][2320/5005] Time 0.208 (0.212) Data 0.053 (0.048) Loss 2.4444 (2.3671) Prec@1 43.359 (46.163) Prec@5 71.875 (71.713)
Epoch: [48][2330/5005] Time 0.205 (0.212) Data 0.048 (0.048) Loss 2.4338 (2.3671) Prec@1 43.359 (46.167) Prec@5 72.656 (71.711)
Epoch: [48][2340/5005] Time 0.200 (0.212) Data 0.065 (0.048) Loss 2.2319 (2.3668) Prec@1 46.875 (46.170) Prec@5 72.656 (71.718)
Epoch: [48][2350/5005] Time 0.197 (0.212) Data 0.044 (0.048) Loss 2.2862 (2.3665) Prec@1 41.797 (46.173) Prec@5 74.219 (71.721)
Epoch: [48][2360/5005] Time 0.205 (0.212) Data 0.046 (0.048) Loss 2.4010 (2.3665) Prec@1 45.703 (46.173) Prec@5 67.969 (71.718)
Epoch: [48][2370/5005] Time 0.212 (0.211) Data 0.045 (0.048) Loss 2.4446 (2.3666) Prec@1 41.406 (46.169) Prec@5 69.922 (71.716)
Epoch: [48][2380/5005] Time 0.213 (0.211) Data 0.043 (0.048) Loss 2.3703 (2.3662) Prec@1 46.875 (46.177) Prec@5 69.531 (71.722)
Epoch: [48][2390/5005] Time 0.213 (0.211) Data 0.053 (0.048) Loss 2.2971 (2.3659) Prec@1 48.438 (46.185) Prec@5 73.047 (71.731)
Epoch: [48][2400/5005] Time 0.208 (0.211) Data 0.063 (0.048) Loss 2.3887 (2.3660) Prec@1 44.922 (46.181) Prec@5 72.656 (71.728)
Epoch: [48][2410/5005] Time 0.201 (0.211) Data 0.057 (0.048) Loss 2.5566 (2.3661) Prec@1 41.797 (46.178) Prec@5 67.969 (71.725)
Epoch: [48][2420/5005] Time 0.204 (0.211) Data 0.057 (0.048) Loss 2.4065 (2.3662) Prec@1 46.484 (46.181) Prec@5 71.094 (71.726)
Epoch: [48][2430/5005] Time 0.198 (0.211) Data 0.042 (0.048) Loss 2.1833 (2.3665) Prec@1 50.781 (46.176) Prec@5 73.438 (71.719)
Epoch: [48][2440/5005] Time 0.201 (0.211) Data 0.057 (0.048) Loss 2.1366 (2.3664) Prec@1 50.391 (46.177) Prec@5 76.953 (71.720)
Epoch: [48][2450/5005] Time 0.216 (0.211) Data 0.058 (0.048) Loss 2.2912 (2.3664) Prec@1 49.219 (46.185) Prec@5 72.266 (71.717)
Epoch: [48][2460/5005] Time 0.201 (0.211) Data 0.049 (0.048) Loss 2.3125 (2.3663) Prec@1 48.828 (46.190) Prec@5 71.875 (71.719)
Epoch: [48][2470/5005] Time 0.203 (0.211) Data 0.045 (0.048) Loss 2.2178 (2.3662) Prec@1 50.781 (46.192) Prec@5 70.703 (71.723)
Epoch: [48][2480/5005] Time 0.199 (0.211) Data 0.055 (0.048) Loss 2.5769 (2.3664) Prec@1 42.969 (46.189) Prec@5 68.359 (71.722)
Epoch: [48][2490/5005] Time 0.211 (0.211) Data 0.047 (0.048) Loss 2.2116 (2.3664) Prec@1 46.094 (46.185) Prec@5 75.000 (71.723)
Epoch: [48][2500/5005] Time 0.199 (0.211) Data 0.060 (0.048) Loss 2.3264 (2.3663) Prec@1 46.484 (46.188) Prec@5 76.562 (71.726)
Epoch: [48][2510/5005] Time 0.210 (0.211) Data 0.046 (0.048) Loss 2.4260 (2.3665) Prec@1 44.922 (46.185) Prec@5 70.703 (71.726)
Epoch: [48][2520/5005] Time 0.206 (0.211) Data 0.043 (0.048) Loss 2.1728 (2.3664) Prec@1 51.953 (46.186) Prec@5 75.781 (71.725)
Epoch: [48][2530/5005] Time 0.203 (0.211) Data 0.053 (0.048) Loss 2.5589 (2.3664) Prec@1 43.359 (46.185) Prec@5 71.094 (71.728)
Epoch: [48][2540/5005] Time 0.195 (0.211) Data 0.059 (0.048) Loss 2.3181 (2.3663) Prec@1 48.047 (46.190) Prec@5 73.438 (71.728)
Epoch: [48][2550/5005] Time 0.196 (0.211) Data 0.048 (0.048) Loss 2.3396 (2.3662) Prec@1 48.828 (46.194) Prec@5 73.438 (71.731)
Epoch: [48][2560/5005] Time 0.219 (0.211) Data 0.041 (0.048) Loss 2.6120 (2.3662) Prec@1 41.406 (46.192) Prec@5 68.359 (71.732)
Epoch: [48][2570/5005] Time 0.212 (0.211) Data 0.043 (0.048) Loss 2.4479 (2.3663) Prec@1 42.188 (46.190) Prec@5 71.094 (71.730)
Epoch: [48][2580/5005] Time 0.213 (0.211) Data 0.048 (0.048) Loss 2.4257 (2.3667) Prec@1 45.312 (46.183) Prec@5 68.359 (71.721)
Epoch: [48][2590/5005] Time 0.204 (0.211) Data 0.048 (0.048) Loss 2.5401 (2.3667) Prec@1 40.625 (46.186) Prec@5 72.266 (71.721)
Epoch: [48][2600/5005] Time 0.205 (0.211) Data 0.048 (0.048) Loss 2.3397 (2.3668) Prec@1 44.531 (46.183) Prec@5 73.438 (71.719)
Epoch: [48][2610/5005] Time 0.197 (0.211) Data 0.041 (0.048) Loss 2.4883 (2.3666) Prec@1 44.922 (46.188) Prec@5 70.312 (71.720)
Epoch: [48][2620/5005] Time 0.204 (0.211) Data 0.041 (0.048) Loss 2.2781 (2.3666) Prec@1 46.875 (46.191) Prec@5 73.047 (71.722)
Epoch: [48][2630/5005] Time 0.208 (0.211) Data 0.046 (0.048) Loss 2.6393 (2.3671) Prec@1 43.750 (46.190) Prec@5 67.578 (71.714)
Epoch: [48][2640/5005] Time 0.204 (0.211) Data 0.044 (0.048) Loss 2.6147 (2.3671) Prec@1 41.016 (46.184) Prec@5 66.797 (71.714)
Epoch: [48][2650/5005] Time 0.198 (0.211) Data 0.051 (0.048) Loss 2.4916 (2.3670) Prec@1 44.531 (46.190) Prec@5 67.578 (71.716)
Epoch: [48][2660/5005] Time 0.215 (0.211) Data 0.043 (0.048) Loss 2.3702 (2.3670) Prec@1 46.484 (46.188) Prec@5 71.875 (71.711)
Epoch: [48][2670/5005] Time 0.210 (0.211) Data 0.048 (0.048) Loss 2.1479 (2.3667) Prec@1 47.266 (46.191) Prec@5 75.391 (71.715)
Epoch: [48][2680/5005] Time 0.198 (0.211) Data 0.044 (0.048) Loss 2.3234 (2.3667) Prec@1 48.438 (46.188) Prec@5 71.875 (71.716)
Epoch: [48][2690/5005] Time 0.216 (0.211) Data 0.043 (0.048) Loss 2.2317 (2.3665) Prec@1 49.609 (46.192) Prec@5 73.828 (71.716)
Epoch: [48][2700/5005] Time 0.206 (0.211) Data 0.040 (0.048) Loss 2.3740 (2.3665) Prec@1 42.969 (46.186) Prec@5 70.703 (71.717)
Epoch: [48][2710/5005] Time 0.207 (0.211) Data 0.048 (0.048) Loss 2.0712 (2.3665) Prec@1 55.078 (46.185) Prec@5 77.734 (71.719)
Epoch: [48][2720/5005] Time 0.222 (0.211) Data 0.041 (0.048) Loss 2.1098 (2.3664) Prec@1 52.734 (46.188) Prec@5 74.219 (71.723)
Epoch: [48][2730/5005] Time 0.204 (0.211) Data 0.050 (0.048) Loss 2.3924 (2.3661) Prec@1 48.828 (46.194) Prec@5 71.094 (71.727)
Epoch: [48][2740/5005] Time 0.208 (0.211) Data 0.052 (0.048) Loss 2.2056 (2.3659) Prec@1 49.219 (46.197) Prec@5 76.562 (71.729)
Epoch: [48][2750/5005] Time 0.203 (0.211) Data 0.049 (0.048) Loss 2.3224 (2.3658) Prec@1 48.047 (46.201) Prec@5 70.703 (71.731)
Epoch: [48][2760/5005] Time 0.206 (0.211) Data 0.049 (0.048) Loss 2.4193 (2.3657) Prec@1 46.484 (46.205) Prec@5 69.141 (71.731)
Epoch: [48][2770/5005] Time 0.210 (0.211) Data 0.046 (0.048) Loss 2.2917 (2.3657) Prec@1 45.703 (46.205) Prec@5 73.828 (71.728)
Epoch: [48][2780/5005] Time 0.206 (0.211) Data 0.052 (0.048) Loss 2.5695 (2.3656) Prec@1 41.016 (46.204) Prec@5 67.188 (71.728)
Epoch: [48][2790/5005] Time 0.197 (0.211) Data 0.057 (0.048) Loss 2.5580 (2.3657) Prec@1 37.500 (46.201) Prec@5 70.703 (71.723)
Epoch: [48][2800/5005] Time 0.213 (0.211) Data 0.043 (0.048) Loss 2.1135 (2.3656) Prec@1 48.438 (46.204) Prec@5 79.297 (71.728)
Epoch: [48][2810/5005] Time 0.207 (0.211) Data 0.044 (0.048) Loss 2.5409 (2.3657) Prec@1 45.703 (46.205) Prec@5 69.922 (71.727)
Epoch: [48][2820/5005] Time 0.208 (0.211) Data 0.044 (0.048) Loss 2.1088 (2.3655) Prec@1 44.531 (46.207) Prec@5 76.562 (71.731)
Epoch: [48][2830/5005] Time 0.209 (0.211) Data 0.044 (0.048) Loss 2.6508 (2.3657) Prec@1 41.016 (46.205) Prec@5 66.016 (71.724)
Epoch: [48][2840/5005] Time 0.206 (0.211) Data 0.041 (0.048) Loss 2.4328 (2.3657) Prec@1 42.188 (46.201) Prec@5 68.750 (71.725)
Epoch: [48][2850/5005] Time 0.209 (0.211) Data 0.043 (0.048) Loss 2.4068 (2.3656) Prec@1 48.047 (46.201) Prec@5 74.219 (71.729)
Epoch: [48][2860/5005] Time 0.211 (0.211) Data 0.044 (0.048) Loss 2.4168 (2.3659) Prec@1 48.047 (46.198) Prec@5 70.312 (71.728)
Epoch: [48][2870/5005] Time 0.217 (0.211) Data 0.046 (0.048) Loss 2.2696 (2.3655) Prec@1 48.828 (46.205) Prec@5 73.047 (71.733)
Epoch: [48][2880/5005] Time 0.207 (0.211) Data 0.047 (0.048) Loss 2.3347 (2.3655) Prec@1 46.484 (46.204) Prec@5 72.266 (71.728)
Epoch: [48][2890/5005] Time 0.204 (0.211) Data 0.043 (0.048) Loss 2.4669 (2.3654) Prec@1 41.016 (46.205) Prec@5 73.047 (71.730)
Epoch: [48][2900/5005] Time 0.217 (0.211) Data 0.049 (0.048) Loss 2.1160 (2.3651) Prec@1 52.344 (46.210) Prec@5 76.953 (71.737)
Epoch: [48][2910/5005] Time 0.203 (0.211) Data 0.048 (0.048) Loss 2.2852 (2.3651) Prec@1 43.750 (46.209) Prec@5 71.875 (71.735)
Epoch: [48][2920/5005] Time 0.208 (0.211) Data 0.046 (0.048) Loss 2.4317 (2.3650) Prec@1 44.531 (46.208) Prec@5 69.922 (71.738)
Epoch: [48][2930/5005] Time 0.229 (0.211) Data 0.045 (0.048) Loss 2.4671 (2.3651) Prec@1 44.922 (46.206) Prec@5 70.703 (71.736)
Epoch: [48][2940/5005] Time 0.200 (0.211) Data 0.044 (0.048) Loss 2.3761 (2.3649) Prec@1 48.438 (46.206) Prec@5 71.094 (71.736)
Epoch: [48][2950/5005] Time 0.212 (0.211) Data 0.044 (0.048) Loss 2.4679 (2.3647) Prec@1 44.922 (46.208) Prec@5 72.266 (71.743)
Epoch: [48][2960/5005] Time 0.201 (0.211) Data 0.047 (0.048) Loss 2.3360 (2.3644) Prec@1 46.875 (46.214) Prec@5 74.219 (71.748)
Epoch: [48][2970/5005] Time 0.197 (0.211) Data 0.064 (0.048) Loss 2.4531 (2.3643) Prec@1 40.234 (46.217) Prec@5 69.922 (71.751)
Epoch: [48][2980/5005] Time 0.207 (0.211) Data 0.046 (0.048) Loss 2.4304 (2.3644) Prec@1 43.750 (46.217) Prec@5 69.531 (71.751)
Epoch: [48][2990/5005] Time 0.200 (0.211) Data 0.047 (0.048) Loss 2.3671 (2.3645) Prec@1 45.312 (46.214) Prec@5 73.047 (71.748)
Epoch: [48][3000/5005] Time 0.205 (0.211) Data 0.042 (0.048) Loss 2.3903 (2.3644) Prec@1 47.266 (46.218) Prec@5 71.484 (71.750)
Epoch: [48][3010/5005] Time 0.212 (0.211) Data 0.045 (0.048) Loss 2.2328 (2.3645) Prec@1 49.219 (46.216) Prec@5 76.172 (71.749)
Epoch: [48][3020/5005] Time 0.211 (0.211) Data 0.047 (0.048) Loss 2.3535 (2.3647) Prec@1 44.141 (46.213) Prec@5 71.094 (71.746)
Epoch: [48][3030/5005] Time 0.207 (0.211) Data 0.044 (0.048) Loss 2.3940 (2.3648) Prec@1 46.094 (46.212) Prec@5 71.094 (71.743)
Epoch: [48][3040/5005] Time 0.207 (0.211) Data 0.041 (0.048) Loss 2.3783 (2.3648) Prec@1 42.188 (46.214) Prec@5 72.266 (71.742)
Epoch: [48][3050/5005] Time 0.209 (0.211) Data 0.042 (0.048) Loss 2.2925 (2.3647) Prec@1 41.797 (46.214) Prec@5 75.781 (71.745)
Epoch: [48][3060/5005] Time 0.207 (0.211) Data 0.045 (0.048) Loss 2.2586 (2.3646) Prec@1 48.438 (46.214) Prec@5 73.047 (71.747)
Epoch: [48][3070/5005] Time 0.209 (0.211) Data 0.043 (0.048) Loss 2.2599 (2.3646) Prec@1 43.359 (46.212) Prec@5 73.828 (71.747)
Epoch: [48][3080/5005] Time 0.209 (0.211) Data 0.043 (0.048) Loss 2.3141 (2.3646) Prec@1 44.531 (46.211) Prec@5 73.047 (71.745)
Epoch: [48][3090/5005] Time 0.212 (0.211) Data 0.046 (0.048) Loss 2.6505 (2.3645) Prec@1 36.719 (46.212) Prec@5 67.188 (71.746)
Epoch: [48][3100/5005] Time 0.210 (0.211) Data 0.046 (0.048) Loss 2.3534 (2.3646) Prec@1 45.312 (46.208) Prec@5 72.656 (71.746)
Epoch: [48][3110/5005] Time 0.210 (0.211) Data 0.044 (0.048) Loss 2.1284 (2.3645) Prec@1 47.266 (46.211) Prec@5 73.828 (71.747)
Epoch: [48][3120/5005] Time 0.205 (0.211) Data 0.039 (0.048) Loss 2.3632 (2.3643) Prec@1 47.266 (46.216) Prec@5 72.266 (71.748)
Epoch: [48][3130/5005] Time 0.212 (0.211) Data 0.043 (0.048) Loss 2.5859 (2.3643) Prec@1 41.797 (46.215) Prec@5 68.359 (71.749)
Epoch: [48][3140/5005] Time 0.211 (0.211) Data 0.043 (0.048) Loss 2.0886 (2.3641) Prec@1 51.172 (46.220) Prec@5 76.953 (71.752)
Epoch: [48][3150/5005] Time 0.206 (0.211) Data 0.039 (0.048) Loss 2.4564 (2.3640) Prec@1 45.703 (46.222) Prec@5 69.922 (71.752)
Epoch: [48][3160/5005] Time 0.207 (0.211) Data 0.065 (0.048) Loss 2.2145 (2.3640) Prec@1 48.047 (46.224) Prec@5 75.781 (71.754)
Epoch: [48][3170/5005] Time 0.209 (0.211) Data 0.042 (0.048) Loss 2.3775 (2.3639) Prec@1 44.922 (46.225) Prec@5 72.656 (71.759)
Epoch: [48][3180/5005] Time 0.205 (0.211) Data 0.041 (0.048) Loss 2.3242 (2.3640) Prec@1 47.656 (46.223) Prec@5 72.656 (71.757)
Epoch: [48][3190/5005] Time 0.215 (0.211) Data 0.047 (0.048) Loss 2.4408 (2.3640) Prec@1 44.922 (46.224) Prec@5 67.188 (71.758)
Epoch: [48][3200/5005] Time 0.210 (0.211) Data 0.044 (0.048) Loss 2.4196 (2.3639) Prec@1 45.312 (46.228) Prec@5 71.484 (71.759)
Epoch: [48][3210/5005] Time 0.199 (0.211) Data 0.044 (0.048) Loss 2.4605 (2.3638) Prec@1 44.141 (46.234) Prec@5 71.484 (71.759)
Epoch: [48][3220/5005] Time 0.200 (0.211) Data 0.047 (0.048) Loss 2.3086 (2.3638) Prec@1 48.438 (46.238) Prec@5 73.828 (71.760)
Epoch: [48][3230/5005] Time 0.219 (0.211) Data 0.048 (0.048) Loss 2.3880 (2.3637) Prec@1 45.312 (46.240) Prec@5 70.703 (71.762)
Epoch: [48][3240/5005] Time 0.211 (0.211) Data 0.046 (0.048) Loss 2.7132 (2.3641) Prec@1 39.844 (46.235) Prec@5 64.453 (71.756)
Epoch: [48][3250/5005] Time 0.204 (0.211) Data 0.056 (0.048) Loss 2.2640 (2.3640) Prec@1 48.047 (46.237) Prec@5 73.828 (71.756)
Epoch: [48][3260/5005] Time 0.204 (0.211) Data 0.050 (0.048) Loss 2.3114 (2.3641) Prec@1 46.484 (46.234) Prec@5 73.828 (71.756)
Epoch: [48][3270/5005] Time 0.203 (0.211) Data 0.043 (0.048) Loss 2.5041 (2.3638) Prec@1 44.141 (46.233) Prec@5 67.578 (71.761)
Epoch: [48][3280/5005] Time 0.201 (0.211) Data 0.061 (0.048) Loss 2.2318 (2.3638) Prec@1 49.609 (46.231) Prec@5 71.875 (71.762)
Epoch: [48][3290/5005] Time 0.199 (0.211) Data 0.048 (0.048) Loss 2.3611 (2.3638) Prec@1 45.703 (46.231) Prec@5 69.922 (71.761)
Epoch: [48][3300/5005] Time 0.206 (0.211) Data 0.050 (0.048) Loss 2.3243 (2.3638) Prec@1 47.266 (46.233) Prec@5 72.266 (71.757)
Epoch: [48][3310/5005] Time 0.206 (0.211) Data 0.047 (0.048) Loss 2.2939 (2.3638) Prec@1 50.000 (46.233) Prec@5 72.266 (71.755)
Epoch: [48][3320/5005] Time 0.211 (0.211) Data 0.050 (0.048) Loss 2.4228 (2.3640) Prec@1 46.094 (46.232) Prec@5 70.312 (71.753)
Epoch: [48][3330/5005] Time 0.213 (0.211) Data 0.043 (0.048) Loss 2.3334 (2.3641) Prec@1 46.094 (46.233) Prec@5 69.531 (71.750)
Epoch: [48][3340/5005] Time 0.193 (0.211) Data 0.043 (0.048) Loss 2.4967 (2.3641) Prec@1 44.922 (46.237) Prec@5 69.922 (71.750)
Epoch: [48][3350/5005] Time 0.211 (0.211) Data 0.052 (0.048) Loss 2.4455 (2.3639) Prec@1 46.094 (46.240) Prec@5 70.312 (71.752)
Epoch: [48][3360/5005] Time 0.206 (0.211) Data 0.051 (0.048) Loss 2.2709 (2.3639) Prec@1 46.875 (46.242) Prec@5 73.438 (71.752)
Epoch: [48][3370/5005] Time 0.207 (0.211) Data 0.045 (0.048) Loss 2.3867 (2.3639) Prec@1 47.266 (46.241) Prec@5 68.750 (71.749)
Epoch: [48][3380/5005] Time 0.214 (0.211) Data 0.042 (0.048) Loss 2.2824 (2.3638) Prec@1 46.094 (46.239) Prec@5 75.391 (71.752)
Epoch: [48][3390/5005] Time 0.217 (0.211) Data 0.041 (0.048) Loss 2.2177 (2.3640) Prec@1 47.656 (46.231) Prec@5 72.266 (71.747)
Epoch: [48][3400/5005] Time 0.215 (0.211) Data 0.044 (0.048) Loss 2.2337 (2.3641) Prec@1 48.047 (46.228) Prec@5 76.562 (71.748)
Epoch: [48][3410/5005] Time 0.207 (0.211) Data 0.043 (0.048) Loss 2.2946 (2.3640) Prec@1 49.219 (46.229) Prec@5 72.266 (71.749)
Epoch: [48][3420/5005] Time 0.207 (0.211) Data 0.041 (0.048) Loss 2.3092 (2.3641) Prec@1 46.094 (46.224) Prec@5 71.484 (71.745)
Epoch: [48][3430/5005] Time 0.206 (0.211) Data 0.040 (0.048) Loss 2.2561 (2.3640) Prec@1 48.438 (46.226) Prec@5 73.438 (71.750)
Epoch: [48][3440/5005] Time 0.204 (0.211) Data 0.043 (0.048) Loss 2.4734 (2.3638) Prec@1 44.141 (46.226) Prec@5 67.188 (71.750)
Epoch: [48][3450/5005] Time 0.207 (0.211) Data 0.046 (0.048) Loss 2.1530 (2.3637) Prec@1 49.219 (46.226) Prec@5 75.781 (71.752)
Epoch: [48][3460/5005] Time 0.210 (0.211) Data 0.043 (0.048) Loss 2.3582 (2.3638) Prec@1 46.875 (46.226) Prec@5 71.875 (71.753)
Epoch: [48][3470/5005] Time 0.212 (0.211) Data 0.046 (0.048) Loss 2.2424 (2.3638) Prec@1 51.953 (46.229) Prec@5 72.266 (71.752)
Epoch: [48][3480/5005] Time 0.212 (0.211) Data 0.045 (0.048) Loss 2.3363 (2.3636) Prec@1 47.266 (46.232) Prec@5 72.656 (71.754)
Epoch: [48][3490/5005] Time 0.216 (0.211) Data 0.045 (0.048) Loss 2.3946 (2.3636) Prec@1 44.141 (46.230) Prec@5 72.656 (71.751)
Epoch: [48][3500/5005] Time 0.204 (0.211) Data 0.045 (0.048) Loss 2.2880 (2.3637) Prec@1 49.219 (46.228) Prec@5 75.391 (71.749)
Epoch: [48][3510/5005] Time 0.203 (0.211) Data 0.047 (0.048) Loss 2.0727 (2.3636) Prec@1 50.391 (46.229) Prec@5 76.953 (71.752)
Epoch: [48][3520/5005] Time 0.214 (0.210) Data 0.046 (0.048) Loss 2.5046 (2.3636) Prec@1 44.141 (46.230) Prec@5 69.141 (71.752)
Epoch: [48][3530/5005] Time 0.210 (0.210) Data 0.045 (0.048) Loss 2.3781 (2.3635) Prec@1 45.703 (46.234) Prec@5 71.484 (71.754)
Epoch: [48][3540/5005] Time 0.204 (0.210) Data 0.049 (0.048) Loss 2.2776 (2.3634) Prec@1 45.703 (46.238) Prec@5 71.875 (71.755)
Epoch: [48][3550/5005] Time 0.210 (0.210) Data 0.056 (0.048) Loss 2.5158 (2.3633) Prec@1 40.625 (46.240) Prec@5 67.188 (71.754)
Epoch: [48][3560/5005] Time 0.213 (0.210) Data 0.048 (0.048) Loss 2.5082 (2.3631) Prec@1 41.406 (46.243) Prec@5 69.141 (71.757)
Epoch: [48][3570/5005] Time 0.214 (0.210) Data 0.047 (0.048) Loss 2.4269 (2.3630) Prec@1 43.359 (46.242) Prec@5 69.141 (71.758)
Epoch: [48][3580/5005] Time 0.209 (0.210) Data 0.048 (0.048) Loss 2.3804 (2.3630) Prec@1 46.484 (46.242) Prec@5 74.219 (71.758)
Epoch: [48][3590/5005] Time 0.200 (0.210) Data 0.057 (0.048) Loss 2.5179 (2.3627) Prec@1 43.359 (46.245) Prec@5 70.312 (71.765)
Epoch: [48][3600/5005] Time 0.198 (0.210) Data 0.054 (0.048) Loss 2.5002 (2.3626) Prec@1 43.359 (46.248) Prec@5 67.969 (71.766)
Epoch: [48][3610/5005] Time 0.210 (0.210) Data 0.042 (0.048) Loss 2.2924 (2.3626) Prec@1 50.000 (46.247) Prec@5 71.094 (71.764)
Epoch: [48][3620/5005] Time 0.211 (0.210) Data 0.042 (0.048) Loss 2.4948 (2.3624) Prec@1 46.875 (46.251) Prec@5 69.141 (71.768)
Epoch: [48][3630/5005] Time 0.208 (0.210) Data 0.045 (0.048) Loss 2.5742 (2.3624) Prec@1 42.969 (46.251) Prec@5 69.531 (71.768)
Epoch: [48][3640/5005] Time 0.215 (0.210) Data 0.044 (0.048) Loss 2.3680 (2.3623) Prec@1 40.625 (46.249) Prec@5 71.094 (71.769)
Epoch: [48][3650/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.2430 (2.3623) Prec@1 50.781 (46.249) Prec@5 72.656 (71.770)
Epoch: [48][3660/5005] Time 0.212 (0.210) Data 0.061 (0.048) Loss 2.4698 (2.3622) Prec@1 43.359 (46.251) Prec@5 67.578 (71.773)
Epoch: [48][3670/5005] Time 0.214 (0.210) Data 0.042 (0.048) Loss 2.5999 (2.3623) Prec@1 42.969 (46.245) Prec@5 67.969 (71.771)
Epoch: [48][3680/5005] Time 0.199 (0.210) Data 0.059 (0.048) Loss 2.2456 (2.3624) Prec@1 48.438 (46.244) Prec@5 75.000 (71.770)
Epoch: [48][3690/5005] Time 0.205 (0.210) Data 0.042 (0.048) Loss 2.1856 (2.3624) Prec@1 49.219 (46.247) Prec@5 74.609 (71.771)
Epoch: [48][3700/5005] Time 0.206 (0.210) Data 0.044 (0.048) Loss 2.3627 (2.3623) Prec@1 44.531 (46.247) Prec@5 70.312 (71.770)
Epoch: [48][3710/5005] Time 0.203 (0.210) Data 0.043 (0.048) Loss 2.2474 (2.3625) Prec@1 49.219 (46.245) Prec@5 75.000 (71.770)
Epoch: [48][3720/5005] Time 0.203 (0.210) Data 0.044 (0.048) Loss 2.4075 (2.3625) Prec@1 48.828 (46.245) Prec@5 71.484 (71.771)
Epoch: [48][3730/5005] Time 0.206 (0.210) Data 0.046 (0.048) Loss 2.2444 (2.3624) Prec@1 51.172 (46.247) Prec@5 72.656 (71.769)
Epoch: [48][3740/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.3715 (2.3622) Prec@1 47.656 (46.251) Prec@5 69.141 (71.772)
Epoch: [48][3750/5005] Time 0.211 (0.210) Data 0.060 (0.048) Loss 2.1465 (2.3623) Prec@1 47.656 (46.248) Prec@5 75.000 (71.770)
Epoch: [48][3760/5005] Time 0.221 (0.210) Data 0.042 (0.048) Loss 2.4053 (2.3625) Prec@1 47.266 (46.244) Prec@5 71.094 (71.765)
Epoch: [48][3770/5005] Time 0.202 (0.210) Data 0.052 (0.048) Loss 2.3515 (2.3624) Prec@1 46.484 (46.247) Prec@5 70.312 (71.766)
Epoch: [48][3780/5005] Time 0.195 (0.210) Data 0.059 (0.048) Loss 2.4972 (2.3623) Prec@1 44.922 (46.247) Prec@5 71.484 (71.768)
Epoch: [48][3790/5005] Time 0.205 (0.210) Data 0.059 (0.048) Loss 2.5445 (2.3624) Prec@1 45.703 (46.247) Prec@5 66.797 (71.768)
Epoch: [48][3800/5005] Time 0.206 (0.210) Data 0.044 (0.048) Loss 2.2823 (2.3626) Prec@1 46.094 (46.242) Prec@5 72.266 (71.762)
Epoch: [48][3810/5005] Time 0.212 (0.210) Data 0.042 (0.048) Loss 2.1893 (2.3626) Prec@1 50.000 (46.238) Prec@5 75.391 (71.762)
Epoch: [48][3820/5005] Time 0.218 (0.210) Data 0.042 (0.048) Loss 2.2078 (2.3625) Prec@1 49.609 (46.241) Prec@5 73.047 (71.762)
Epoch: [48][3830/5005] Time 0.211 (0.210) Data 0.046 (0.048) Loss 2.4071 (2.3624) Prec@1 42.188 (46.241) Prec@5 71.875 (71.763)
Epoch: [48][3840/5005] Time 0.213 (0.210) Data 0.041 (0.048) Loss 2.5809 (2.3625) Prec@1 43.359 (46.238) Prec@5 67.578 (71.762)
Epoch: [48][3850/5005] Time 0.208 (0.210) Data 0.042 (0.048) Loss 2.4268 (2.3625) Prec@1 44.531 (46.235) Prec@5 71.484 (71.763)
Epoch: [48][3860/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.1164 (2.3626) Prec@1 54.688 (46.238) Prec@5 73.828 (71.761)
Epoch: [48][3870/5005] Time 0.203 (0.210) Data 0.045 (0.048) Loss 2.4314 (2.3628) Prec@1 46.875 (46.235) Prec@5 71.484 (71.757)
Epoch: [48][3880/5005] Time 0.209 (0.210) Data 0.039 (0.048) Loss 2.3340 (2.3628) Prec@1 50.000 (46.238) Prec@5 70.312 (71.756)
Epoch: [48][3890/5005] Time 0.202 (0.210) Data 0.044 (0.048) Loss 2.5857 (2.3627) Prec@1 41.797 (46.240) Prec@5 68.359 (71.755)
Epoch: [48][3900/5005] Time 0.212 (0.210) Data 0.042 (0.048) Loss 2.5762 (2.3628) Prec@1 42.578 (46.238) Prec@5 66.406 (71.754)
Epoch: [48][3910/5005] Time 0.214 (0.210) Data 0.055 (0.048) Loss 2.3179 (2.3629) Prec@1 46.094 (46.236) Prec@5 71.484 (71.753)
Epoch: [48][3920/5005] Time 0.211 (0.210) Data 0.045 (0.048) Loss 2.3356 (2.3629) Prec@1 43.750 (46.237) Prec@5 73.047 (71.752)
Epoch: [48][3930/5005] Time 0.205 (0.210) Data 0.041 (0.048) Loss 2.2932 (2.3627) Prec@1 44.531 (46.239) Prec@5 72.656 (71.756)
Epoch: [48][3940/5005] Time 0.211 (0.210) Data 0.045 (0.048) Loss 2.3525 (2.3626) Prec@1 44.531 (46.238) Prec@5 71.484 (71.757)
Epoch: [48][3950/5005] Time 0.207 (0.210) Data 0.044 (0.048) Loss 2.2569 (2.3624) Prec@1 49.219 (46.244) Prec@5 74.219 (71.762)
Epoch: [48][3960/5005] Time 0.208 (0.210) Data 0.043 (0.048) Loss 2.3405 (2.3625) Prec@1 45.312 (46.243) Prec@5 73.047 (71.762)
Epoch: [48][3970/5005] Time 0.211 (0.210) Data 0.046 (0.048) Loss 2.3622 (2.3624) Prec@1 46.875 (46.243) Prec@5 75.391 (71.764)
Epoch: [48][3980/5005] Time 0.201 (0.210) Data 0.041 (0.048) Loss 2.2235 (2.3624) Prec@1 46.484 (46.243) Prec@5 73.828 (71.766)
Epoch: [48][3990/5005] Time 0.215 (0.210) Data 0.043 (0.048) Loss 2.4722 (2.3624) Prec@1 43.750 (46.243) Prec@5 69.922 (71.765)
Epoch: [48][4000/5005] Time 0.205 (0.210) Data 0.044 (0.048) Loss 2.2731 (2.3624) Prec@1 46.484 (46.242) Prec@5 71.875 (71.765)
Epoch: [48][4010/5005] Time 0.212 (0.210) Data 0.046 (0.048) Loss 2.4522 (2.3622) Prec@1 44.531 (46.248) Prec@5 69.922 (71.767)
Epoch: [48][4020/5005] Time 0.206 (0.210) Data 0.049 (0.048) Loss 2.6000 (2.3622) Prec@1 42.969 (46.248) Prec@5 68.359 (71.767)
Epoch: [48][4030/5005] Time 0.208 (0.210) Data 0.058 (0.048) Loss 2.6015 (2.3625) Prec@1 44.141 (46.245) Prec@5 67.188 (71.762)
Epoch: [48][4040/5005] Time 0.214 (0.210) Data 0.045 (0.048) Loss 2.3587 (2.3627) Prec@1 49.219 (46.243) Prec@5 72.266 (71.759)
Epoch: [48][4050/5005] Time 0.206 (0.210) Data 0.050 (0.048) Loss 2.6378 (2.3627) Prec@1 42.969 (46.244) Prec@5 66.797 (71.761)
Epoch: [48][4060/5005] Time 0.206 (0.210) Data 0.051 (0.048) Loss 2.4743 (2.3627) Prec@1 40.625 (46.245) Prec@5 69.141 (71.758)
Epoch: [48][4070/5005] Time 0.213 (0.210) Data 0.049 (0.048) Loss 2.6041 (2.3627) Prec@1 42.969 (46.242) Prec@5 71.094 (71.761)
Epoch: [48][4080/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.3405 (2.3628) Prec@1 46.484 (46.241) Prec@5 74.609 (71.761)
Epoch: [48][4090/5005] Time 0.205 (0.210) Data 0.052 (0.048) Loss 2.4527 (2.3628) Prec@1 46.484 (46.242) Prec@5 71.875 (71.762)
Epoch: [48][4100/5005] Time 0.209 (0.210) Data 0.044 (0.048) Loss 2.3476 (2.3627) Prec@1 45.703 (46.243) Prec@5 71.094 (71.760)
Epoch: [48][4110/5005] Time 0.195 (0.210) Data 0.053 (0.048) Loss 2.4915 (2.3627) Prec@1 44.141 (46.244) Prec@5 70.312 (71.758)
Epoch: [48][4120/5005] Time 0.202 (0.210) Data 0.048 (0.048) Loss 2.4717 (2.3627) Prec@1 42.969 (46.243) Prec@5 69.141 (71.757)
Epoch: [48][4130/5005] Time 0.214 (0.210) Data 0.043 (0.048) Loss 2.5262 (2.3626) Prec@1 43.359 (46.245) Prec@5 68.359 (71.759)
Epoch: [48][4140/5005] Time 0.207 (0.210) Data 0.042 (0.048) Loss 2.3241 (2.3626) Prec@1 46.484 (46.248) Prec@5 68.359 (71.759)
Epoch: [48][4150/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.4592 (2.3626) Prec@1 45.703 (46.248) Prec@5 71.094 (71.758)
Epoch: [48][4160/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.3696 (2.3628) Prec@1 47.656 (46.246) Prec@5 73.047 (71.759)
Epoch: [48][4170/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.2334 (2.3626) Prec@1 45.703 (46.248) Prec@5 77.344 (71.761)
Epoch: [48][4180/5005] Time 0.214 (0.210) Data 0.049 (0.048) Loss 2.2234 (2.3626) Prec@1 48.438 (46.249) Prec@5 72.266 (71.761)
Epoch: [48][4190/5005] Time 0.214 (0.210) Data 0.050 (0.048) Loss 2.1568 (2.3627) Prec@1 48.438 (46.250) Prec@5 73.438 (71.758)
Epoch: [48][4200/5005] Time 0.207 (0.210) Data 0.048 (0.048) Loss 2.1623 (2.3627) Prec@1 44.531 (46.250) Prec@5 76.562 (71.759)
Epoch: [48][4210/5005] Time 0.211 (0.210) Data 0.042 (0.048) Loss 2.2969 (2.3627) Prec@1 46.875 (46.250) Prec@5 73.828 (71.758)
Epoch: [48][4220/5005] Time 0.203 (0.210) Data 0.047 (0.048) Loss 2.4634 (2.3630) Prec@1 40.625 (46.245) Prec@5 72.656 (71.755)
Epoch: [48][4230/5005] Time 0.203 (0.210) Data 0.067 (0.048) Loss 2.4518 (2.3630) Prec@1 44.922 (46.243) Prec@5 70.312 (71.755)
Epoch: [48][4240/5005] Time 0.192 (0.210) Data 0.060 (0.048) Loss 2.1146 (2.3630) Prec@1 50.781 (46.244) Prec@5 74.219 (71.753)
Epoch: [48][4250/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.2697 (2.3629) Prec@1 48.438 (46.244) Prec@5 70.312 (71.753)
Epoch: [48][4260/5005] Time 0.212 (0.210) Data 0.040 (0.048) Loss 2.5081 (2.3629) Prec@1 44.141 (46.244) Prec@5 67.578 (71.755)
Epoch: [48][4270/5005] Time 0.193 (0.210) Data 0.042 (0.048) Loss 2.5256 (2.3630) Prec@1 47.266 (46.244) Prec@5 69.531 (71.754)
Epoch: [48][4280/5005] Time 0.221 (0.210) Data 0.040 (0.048) Loss 2.4768 (2.3629) Prec@1 45.312 (46.245) Prec@5 71.094 (71.752)
Epoch: [48][4290/5005] Time 0.208 (0.210) Data 0.040 (0.048) Loss 2.5869 (2.3630) Prec@1 43.359 (46.243) Prec@5 69.141 (71.750)
Epoch: [48][4300/5005] Time 0.215 (0.210) Data 0.044 (0.048) Loss 2.1818 (2.3628) Prec@1 50.000 (46.246) Prec@5 73.828 (71.755)
Epoch: [48][4310/5005] Time 0.211 (0.210) Data 0.045 (0.048) Loss 2.3557 (2.3628) Prec@1 45.703 (46.245) Prec@5 72.266 (71.755)
Epoch: [48][4320/5005] Time 0.221 (0.210) Data 0.050 (0.048) Loss 2.2653 (2.3628) Prec@1 47.266 (46.247) Prec@5 73.047 (71.755)
Epoch: [48][4330/5005] Time 0.200 (0.210) Data 0.045 (0.048) Loss 2.2539 (2.3629) Prec@1 44.922 (46.244) Prec@5 74.609 (71.754)
Epoch: [48][4340/5005] Time 0.212 (0.210) Data 0.045 (0.048) Loss 2.2602 (2.3629) Prec@1 48.047 (46.242) Prec@5 72.656 (71.753)
Epoch: [48][4350/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.2961 (2.3629) Prec@1 50.781 (46.242) Prec@5 71.484 (71.755)
Epoch: [48][4360/5005] Time 0.192 (0.210) Data 0.064 (0.048) Loss 2.2246 (2.3627) Prec@1 45.703 (46.246) Prec@5 72.266 (71.757)
Epoch: [48][4370/5005] Time 0.192 (0.210) Data 0.046 (0.048) Loss 2.3202 (2.3627) Prec@1 47.266 (46.247) Prec@5 73.438 (71.758)
Epoch: [48][4380/5005] Time 0.199 (0.210) Data 0.047 (0.048) Loss 2.4660 (2.3628) Prec@1 43.750 (46.247) Prec@5 71.484 (71.758)
Epoch: [48][4390/5005] Time 0.205 (0.210) Data 0.042 (0.048) Loss 2.4475 (2.3627) Prec@1 43.750 (46.248) Prec@5 71.875 (71.759)
Epoch: [48][4400/5005] Time 0.208 (0.210) Data 0.042 (0.048) Loss 2.3296 (2.3627) Prec@1 46.484 (46.247) Prec@5 73.047 (71.760)
Epoch: [48][4410/5005] Time 0.211 (0.210) Data 0.042 (0.048) Loss 2.3258 (2.3625) Prec@1 47.266 (46.247) Prec@5 71.484 (71.761)
Epoch: [48][4420/5005] Time 0.214 (0.210) Data 0.053 (0.048) Loss 2.0981 (2.3625) Prec@1 49.219 (46.245) Prec@5 77.344 (71.763)
Epoch: [48][4430/5005] Time 0.218 (0.210) Data 0.043 (0.048) Loss 2.3992 (2.3623) Prec@1 44.531 (46.249) Prec@5 69.141 (71.766)
Epoch: [48][4440/5005] Time 0.209 (0.210) Data 0.046 (0.048) Loss 2.3260 (2.3622) Prec@1 46.875 (46.249) Prec@5 72.656 (71.768)
Epoch: [48][4450/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.1629 (2.3621) Prec@1 49.609 (46.250) Prec@5 74.219 (71.769)
Epoch: [48][4460/5005] Time 0.213 (0.210) Data 0.047 (0.048) Loss 2.3857 (2.3620) Prec@1 44.141 (46.253) Prec@5 71.094 (71.770)
Epoch: [48][4470/5005] Time 0.209 (0.210) Data 0.053 (0.048) Loss 2.1771 (2.3622) Prec@1 47.656 (46.250) Prec@5 73.828 (71.767)
Epoch: [48][4480/5005] Time 0.218 (0.210) Data 0.059 (0.048) Loss 2.0891 (2.3624) Prec@1 48.438 (46.248) Prec@5 75.391 (71.763)
Epoch: [48][4490/5005] Time 0.203 (0.210) Data 0.058 (0.048) Loss 2.2676 (2.3625) Prec@1 46.484 (46.244) Prec@5 73.828 (71.761)
Epoch: [48][4500/5005] Time 0.210 (0.210) Data 0.053 (0.048) Loss 2.3355 (2.3626) Prec@1 44.922 (46.242) Prec@5 75.391 (71.760)
Epoch: [48][4510/5005] Time 0.207 (0.210) Data 0.053 (0.048) Loss 2.1445 (2.3626) Prec@1 53.125 (46.242) Prec@5 75.391 (71.757)
Epoch: [48][4520/5005] Time 0.215 (0.210) Data 0.045 (0.048) Loss 2.3797 (2.3625) Prec@1 45.703 (46.243) Prec@5 72.656 (71.760)
Epoch: [48][4530/5005] Time 0.215 (0.210) Data 0.046 (0.048) Loss 2.3475 (2.3625) Prec@1 44.531 (46.247) Prec@5 69.922 (71.761)
Epoch: [48][4540/5005] Time 0.210 (0.210) Data 0.050 (0.048) Loss 2.4678 (2.3626) Prec@1 45.312 (46.245) Prec@5 71.484 (71.758)
Epoch: [48][4550/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.4081 (2.3626) Prec@1 46.875 (46.246) Prec@5 68.359 (71.756)
Epoch: [48][4560/5005] Time 0.202 (0.210) Data 0.046 (0.048) Loss 2.3191 (2.3625) Prec@1 46.094 (46.246) Prec@5 73.047 (71.758)
Epoch: [48][4570/5005] Time 0.203 (0.210) Data 0.040 (0.048) Loss 2.4260 (2.3625) Prec@1 48.438 (46.246) Prec@5 73.047 (71.760)
Epoch: [48][4580/5005] Time 0.205 (0.210) Data 0.043 (0.048) Loss 2.4277 (2.3624) Prec@1 45.312 (46.249) Prec@5 71.875 (71.762)
Epoch: [48][4590/5005] Time 0.215 (0.210) Data 0.043 (0.048) Loss 2.1432 (2.3624) Prec@1 48.047 (46.250) Prec@5 76.562 (71.762)
Epoch: [48][4600/5005] Time 0.216 (0.210) Data 0.048 (0.048) Loss 2.1305 (2.3623) Prec@1 48.828 (46.250) Prec@5 76.562 (71.761)
Epoch: [48][4610/5005] Time 0.213 (0.210) Data 0.045 (0.048) Loss 2.1172 (2.3624) Prec@1 50.391 (46.251) Prec@5 75.391 (71.762)
Epoch: [48][4620/5005] Time 0.209 (0.210) Data 0.047 (0.048) Loss 2.2612 (2.3624) Prec@1 47.656 (46.251) Prec@5 72.656 (71.763)
Epoch: [48][4630/5005] Time 0.203 (0.210) Data 0.044 (0.048) Loss 2.1808 (2.3622) Prec@1 52.344 (46.253) Prec@5 76.562 (71.765)
Epoch: [48][4640/5005] Time 0.199 (0.210) Data 0.048 (0.048) Loss 2.4265 (2.3623) Prec@1 47.656 (46.252) Prec@5 72.656 (71.767)
Epoch: [48][4650/5005] Time 0.211 (0.210) Data 0.045 (0.048) Loss 2.3503 (2.3623) Prec@1 47.656 (46.253) Prec@5 70.703 (71.766)
Epoch: [48][4660/5005] Time 0.210 (0.210) Data 0.053 (0.048) Loss 2.5197 (2.3623) Prec@1 42.578 (46.252) Prec@5 69.922 (71.767)
Epoch: [48][4670/5005] Time 0.212 (0.210) Data 0.042 (0.048) Loss 2.2681 (2.3622) Prec@1 44.922 (46.253) Prec@5 72.656 (71.768)
Epoch: [48][4680/5005] Time 0.198 (0.210) Data 0.046 (0.048) Loss 2.2855 (2.3622) Prec@1 45.312 (46.252) Prec@5 72.266 (71.769)
Epoch: [48][4690/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.4842 (2.3623) Prec@1 45.312 (46.248) Prec@5 69.141 (71.766)
Epoch: [48][4700/5005] Time 0.206 (0.210) Data 0.048 (0.048) Loss 2.1828 (2.3622) Prec@1 48.828 (46.250) Prec@5 76.953 (71.769)
Epoch: [48][4710/5005] Time 0.203 (0.210) Data 0.045 (0.048) Loss 2.1780 (2.3620) Prec@1 51.172 (46.252) Prec@5 74.609 (71.771)
Epoch: [48][4720/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.2454 (2.3620) Prec@1 51.172 (46.252) Prec@5 78.906 (71.772)
Epoch: [48][4730/5005] Time 0.208 (0.210) Data 0.047 (0.048) Loss 2.5298 (2.3621) Prec@1 44.922 (46.251) Prec@5 68.750 (71.768)
Epoch: [48][4740/5005] Time 0.214 (0.210) Data 0.050 (0.048) Loss 2.3645 (2.3621) Prec@1 45.312 (46.252) Prec@5 75.391 (71.768)
Epoch: [48][4750/5005] Time 0.215 (0.210) Data 0.044 (0.048) Loss 2.2615 (2.3620) Prec@1 48.438 (46.255) Prec@5 72.656 (71.773)
Epoch: [48][4760/5005] Time 0.209 (0.210) Data 0.042 (0.048) Loss 2.5732 (2.3620) Prec@1 41.406 (46.253) Prec@5 65.625 (71.773)
Epoch: [48][4770/5005] Time 0.205 (0.210) Data 0.043 (0.048) Loss 2.1377 (2.3620) Prec@1 52.344 (46.257) Prec@5 75.781 (71.773)
Epoch: [48][4780/5005] Time 0.208 (0.210) Data 0.046 (0.048) Loss 2.4225 (2.3620) Prec@1 44.141 (46.256) Prec@5 71.484 (71.770)
Epoch: [48][4790/5005] Time 0.197 (0.210) Data 0.052 (0.048) Loss 2.6163 (2.3622) Prec@1 44.922 (46.256) Prec@5 67.969 (71.769)
Epoch: [48][4800/5005] Time 0.203 (0.210) Data 0.053 (0.048) Loss 2.5511 (2.3621) Prec@1 43.750 (46.256) Prec@5 67.188 (71.770)
Epoch: [48][4810/5005] Time 0.207 (0.210) Data 0.044 (0.048) Loss 2.4471 (2.3621) Prec@1 42.578 (46.254) Prec@5 70.703 (71.769)
Epoch: [48][4820/5005] Time 0.209 (0.210) Data 0.048 (0.048) Loss 2.5594 (2.3620) Prec@1 41.016 (46.254) Prec@5 68.750 (71.771)
Epoch: [48][4830/5005] Time 0.214 (0.210) Data 0.045 (0.048) Loss 2.3297 (2.3619) Prec@1 49.609 (46.257) Prec@5 73.047 (71.773)
Epoch: [48][4840/5005] Time 0.216 (0.210) Data 0.049 (0.048) Loss 2.1981 (2.3619) Prec@1 51.953 (46.257) Prec@5 74.609 (71.772)
Epoch: [48][4850/5005] Time 0.203 (0.210) Data 0.062 (0.048) Loss 2.3828 (2.3621) Prec@1 45.703 (46.254) Prec@5 71.875 (71.768)
Epoch: [48][4860/5005] Time 0.203 (0.210) Data 0.045 (0.048) Loss 2.3543 (2.3621) Prec@1 46.484 (46.254) Prec@5 72.266 (71.769)
Epoch: [48][4870/5005] Time 0.206 (0.210) Data 0.045 (0.048) Loss 2.2018 (2.3620) Prec@1 48.047 (46.256) Prec@5 73.047 (71.769)
Epoch: [48][4880/5005] Time 0.198 (0.210) Data 0.044 (0.048) Loss 2.1324 (2.3620) Prec@1 50.781 (46.257) Prec@5 73.438 (71.768)
Epoch: [48][4890/5005] Time 0.205 (0.210) Data 0.046 (0.048) Loss 2.3597 (2.3619) Prec@1 47.656 (46.259) Prec@5 73.438 (71.771)
Epoch: [48][4900/5005] Time 0.216 (0.210) Data 0.043 (0.048) Loss 2.2934 (2.3618) Prec@1 44.922 (46.259) Prec@5 72.656 (71.772)
Epoch: [48][4910/5005] Time 0.207 (0.210) Data 0.044 (0.048) Loss 2.4402 (2.3617) Prec@1 41.797 (46.257) Prec@5 67.969 (71.773)
Epoch: [48][4920/5005] Time 0.207 (0.210) Data 0.042 (0.048) Loss 2.3234 (2.3617) Prec@1 46.094 (46.255) Prec@5 72.656 (71.772)
Epoch: [48][4930/5005] Time 0.212 (0.210) Data 0.042 (0.048) Loss 2.6251 (2.3617) Prec@1 41.406 (46.254) Prec@5 64.844 (71.775)
Epoch: [48][4940/5005] Time 0.214 (0.210) Data 0.046 (0.048) Loss 2.3607 (2.3617) Prec@1 50.000 (46.255) Prec@5 69.141 (71.773)
Epoch: [48][4950/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.1970 (2.3618) Prec@1 43.750 (46.253) Prec@5 73.438 (71.771)
Epoch: [48][4960/5005] Time 0.209 (0.210) Data 0.048 (0.048) Loss 2.4348 (2.3618) Prec@1 46.484 (46.255) Prec@5 72.266 (71.772)
Epoch: [48][4970/5005] Time 0.199 (0.210) Data 0.060 (0.048) Loss 2.4791 (2.3617) Prec@1 44.531 (46.256) Prec@5 71.094 (71.773)
Epoch: [48][4980/5005] Time 0.204 (0.210) Data 0.057 (0.048) Loss 2.3733 (2.3615) Prec@1 45.312 (46.259) Prec@5 69.922 (71.776)
Epoch: [48][4990/5005] Time 0.202 (0.210) Data 0.022 (0.048) Loss 2.4137 (2.3615) Prec@1 42.188 (46.260) Prec@5 68.750 (71.775)
Epoch: [48][5000/5005] Time 0.205 (0.210) Data 0.021 (0.048) Loss 2.3994 (2.3615) Prec@1 45.312 (46.257) Prec@5 73.438 (71.775)
Test: [0/196] Time 1.408 (1.408) Loss 2.4184 (2.4184) Prec@1 48.438 (48.438) Prec@5 71.094 (71.094)
Test: [10/196] Time 0.053 (0.298) Loss 2.5180 (2.5929) Prec@1 43.359 (42.862) Prec@5 68.359 (68.324)
Test: [20/196] Time 0.170 (0.225) Loss 2.4564 (2.6047) Prec@1 47.266 (42.876) Prec@5 72.266 (68.118)
Test: [30/196] Time 0.045 (0.220) Loss 2.5253 (2.6144) Prec@1 39.844 (42.540) Prec@5 68.359 (68.019)
Test: [40/196] Time 0.310 (0.206) Loss 2.3971 (2.6088) Prec@1 48.828 (42.788) Prec@5 70.703 (68.207)
Test: [50/196] Time 0.053 (0.205) Loss 2.7120 (2.6123) Prec@1 40.625 (42.555) Prec@5 69.922 (68.168)
Test: [60/196] Time 0.044 (0.198) Loss 2.5158 (2.5976) Prec@1 45.312 (42.994) Prec@5 66.797 (68.379)
Test: [70/196] Time 0.044 (0.186) Loss 2.5477 (2.5906) Prec@1 43.750 (43.002) Prec@5 67.578 (68.453)
Test: [80/196] Time 0.043 (0.192) Loss 2.5304 (2.5987) Prec@1 48.828 (42.911) Prec@5 73.047 (68.388)
Test: [90/196] Time 0.045 (0.188) Loss 2.7026 (2.5987) Prec@1 44.922 (43.025) Prec@5 65.625 (68.355)
Test: [100/196] Time 0.043 (0.184) Loss 2.6813 (2.5951) Prec@1 45.312 (43.228) Prec@5 66.406 (68.398)
Test: [110/196] Time 0.047 (0.185) Loss 2.8729 (2.5995) Prec@1 39.453 (43.162) Prec@5 62.891 (68.363)
Test: [120/196] Time 0.045 (0.182) Loss 2.4772 (2.5957) Prec@1 43.359 (43.237) Prec@5 70.703 (68.372)
Test: [130/196] Time 0.121 (0.184) Loss 2.2745 (2.5932) Prec@1 46.094 (43.291) Prec@5 75.000 (68.425)
Test: [140/196] Time 0.156 (0.183) Loss 2.4614 (2.5956) Prec@1 48.438 (43.260) Prec@5 69.531 (68.390)
Test: [150/196] Time 0.495 (0.184) Loss 2.2210 (2.5937) Prec@1 49.609 (43.227) Prec@5 76.562 (68.398)
Test: [160/196] Time 0.042 (0.182) Loss 2.6151 (2.5924) Prec@1 48.047 (43.219) Prec@5 67.578 (68.374)
Test: [170/196] Time 0.057 (0.180) Loss 2.4735 (2.5943) Prec@1 44.531 (43.220) Prec@5 71.484 (68.334)
Test: [180/196] Time 0.042 (0.179) Loss 2.7631 (2.5983) Prec@1 39.453 (43.135) Prec@5 62.891 (68.245)
Test: [190/196] Time 0.043 (0.180) Loss 2.8606 (2.6018) Prec@1 39.062 (43.034) Prec@5 63.672 (68.153)
* Prec@1 43.032 Prec@5 68.158
Learning rate: 0.0001
Epoch: [49][0/5005] Time 1.142 (1.142) Data 1.035 (1.035) Loss 2.2611 (2.2611) Prec@1 49.609 (49.609) Prec@5 71.875 (71.875)
Epoch: [49][10/5005] Time 0.200 (0.288) Data 0.053 (0.143) Loss 2.1626 (2.3357) Prec@1 54.297 (46.804) Prec@5 74.609 (72.088)
Epoch: [49][20/5005] Time 0.201 (0.247) Data 0.045 (0.096) Loss 2.5239 (2.3773) Prec@1 46.484 (45.685) Prec@5 70.312 (71.373)
Epoch: [49][30/5005] Time 0.199 (0.232) Data 0.057 (0.080) Loss 2.2041 (2.3441) Prec@1 49.609 (46.459) Prec@5 75.391 (71.862)
Epoch: [49][40/5005] Time 0.206 (0.225) Data 0.043 (0.072) Loss 2.2281 (2.3503) Prec@1 48.828 (46.256) Prec@5 72.266 (71.837)
Epoch: [49][50/5005] Time 0.207 (0.221) Data 0.043 (0.067) Loss 2.3274 (2.3500) Prec@1 41.406 (45.941) Prec@5 73.438 (71.952)
Epoch: [49][60/5005] Time 0.215 (0.219) Data 0.044 (0.064) Loss 2.2855 (2.3487) Prec@1 47.266 (45.889) Prec@5 76.953 (71.837)
Epoch: [49][70/5005] Time 0.205 (0.216) Data 0.048 (0.061) Loss 2.3892 (2.3581) Prec@1 46.875 (45.813) Prec@5 72.656 (71.820)
Epoch: [49][80/5005] Time 0.204 (0.214) Data 0.041 (0.059) Loss 2.2093 (2.3509) Prec@1 47.656 (45.886) Prec@5 77.344 (72.024)
Epoch: [49][90/5005] Time 0.203 (0.213) Data 0.058 (0.058) Loss 2.3445 (2.3496) Prec@1 50.781 (45.944) Prec@5 73.047 (72.060)
Epoch: [49][100/5005] Time 0.202 (0.212) Data 0.050 (0.057) Loss 2.1296 (2.3518) Prec@1 51.953 (45.985) Prec@5 76.562 (71.879)
Epoch: [49][110/5005] Time 0.206 (0.211) Data 0.047 (0.056) Loss 2.3934 (2.3540) Prec@1 45.703 (46.013) Prec@5 72.266 (71.850)
Epoch: [49][120/5005] Time 0.205 (0.210) Data 0.046 (0.056) Loss 2.5963 (2.3577) Prec@1 40.234 (46.019) Prec@5 68.359 (71.768)
Epoch: [49][130/5005] Time 0.206 (0.209) Data 0.038 (0.055) Loss 2.4915 (2.3595) Prec@1 49.219 (46.085) Prec@5 68.750 (71.753)
Epoch: [49][140/5005] Time 0.210 (0.209) Data 0.044 (0.055) Loss 2.4638 (2.3577) Prec@1 44.531 (46.105) Prec@5 68.750 (71.764)
Epoch: [49][150/5005] Time 0.214 (0.209) Data 0.044 (0.054) Loss 2.4824 (2.3585) Prec@1 44.922 (46.177) Prec@5 68.750 (71.779)
Epoch: [49][160/5005] Time 0.199 (0.209) Data 0.043 (0.053) Loss 2.4121 (2.3602) Prec@1 44.531 (46.184) Prec@5 68.359 (71.732)
Epoch: [49][170/5005] Time 0.220 (0.209) Data 0.043 (0.053) Loss 2.4272 (2.3597) Prec@1 48.047 (46.206) Prec@5 69.922 (71.679)
Epoch: [49][180/5005] Time 0.217 (0.210) Data 0.045 (0.052) Loss 2.5008 (2.3611) Prec@1 44.922 (46.241) Prec@5 67.578 (71.644)
Epoch: [49][190/5005] Time 0.220 (0.210) Data 0.047 (0.052) Loss 2.4172 (2.3639) Prec@1 43.359 (46.167) Prec@5 71.484 (71.587)
Epoch: [49][200/5005] Time 0.222 (0.211) Data 0.043 (0.052) Loss 2.5921 (2.3680) Prec@1 38.672 (46.080) Prec@5 69.141 (71.545)
Epoch: [49][210/5005] Time 0.218 (0.211) Data 0.043 (0.051) Loss 2.2913 (2.3679) Prec@1 49.219 (46.109) Prec@5 72.266 (71.547)
Epoch: [49][220/5005] Time 0.225 (0.212) Data 0.049 (0.051) Loss 2.4239 (2.3689) Prec@1 48.047 (46.126) Prec@5 69.531 (71.544)
Epoch: [49][230/5005] Time 0.210 (0.212) Data 0.068 (0.051) Loss 2.3492 (2.3690) Prec@1 48.438 (46.121) Prec@5 72.266 (71.571)
Epoch: [49][240/5005] Time 0.216 (0.212) Data 0.047 (0.051) Loss 2.2793 (2.3684) Prec@1 45.703 (46.116) Prec@5 72.656 (71.536)
Epoch: [49][250/5005] Time 0.220 (0.212) Data 0.043 (0.051) Loss 2.5801 (2.3684) Prec@1 41.797 (46.128) Prec@5 68.359 (71.522)
Epoch: [49][260/5005] Time 0.220 (0.213) Data 0.044 (0.051) Loss 2.1603 (2.3678) Prec@1 46.094 (46.149) Prec@5 76.562 (71.529)
Epoch: [49][270/5005] Time 0.217 (0.213) Data 0.041 (0.050) Loss 2.3634 (2.3694) Prec@1 48.438 (46.112) Prec@5 71.094 (71.503)
Epoch: [49][280/5005] Time 0.214 (0.213) Data 0.044 (0.050) Loss 2.7324 (2.3725) Prec@1 41.406 (46.085) Prec@5 61.328 (71.419)
Epoch: [49][290/5005] Time 0.214 (0.213) Data 0.043 (0.050) Loss 2.2492 (2.3733) Prec@1 48.047 (46.060) Prec@5 75.391 (71.404)
Epoch: [49][300/5005] Time 0.214 (0.213) Data 0.044 (0.050) Loss 2.2033 (2.3726) Prec@1 47.266 (46.065) Prec@5 75.000 (71.444)
Epoch: [49][310/5005] Time 0.211 (0.213) Data 0.044 (0.049) Loss 2.3109 (2.3702) Prec@1 46.875 (46.104) Prec@5 72.656 (71.492)
Epoch: [49][320/5005] Time 0.215 (0.213) Data 0.044 (0.049) Loss 2.6539 (2.3716) Prec@1 40.625 (46.095) Prec@5 65.234 (71.477)
Epoch: [49][330/5005] Time 0.210 (0.213) Data 0.042 (0.049) Loss 2.0553 (2.3698) Prec@1 46.875 (46.090) Prec@5 74.609 (71.519)
Epoch: [49][340/5005] Time 0.215 (0.213) Data 0.050 (0.049) Loss 2.5100 (2.3730) Prec@1 46.094 (46.070) Prec@5 67.188 (71.439)
Epoch: [49][350/5005] Time 0.221 (0.213) Data 0.046 (0.049) Loss 2.4257 (2.3721) Prec@1 44.922 (46.071) Prec@5 70.312 (71.465)
Epoch: [49][360/5005] Time 0.215 (0.213) Data 0.042 (0.049) Loss 2.4575 (2.3718) Prec@1 43.750 (46.080) Prec@5 70.703 (71.475)
Epoch: [49][370/5005] Time 0.214 (0.213) Data 0.044 (0.049) Loss 2.4255 (2.3709) Prec@1 41.797 (46.045) Prec@5 69.141 (71.490)
Epoch: [49][380/5005] Time 0.216 (0.213) Data 0.044 (0.049) Loss 2.5181 (2.3715) Prec@1 44.141 (46.005) Prec@5 66.406 (71.484)
Epoch: [49][390/5005] Time 0.213 (0.213) Data 0.042 (0.049) Loss 2.4630 (2.3726) Prec@1 45.703 (45.977) Prec@5 71.094 (71.481)
Epoch: [49][400/5005] Time 0.206 (0.213) Data 0.049 (0.049) Loss 2.1727 (2.3713) Prec@1 49.609 (46.004) Prec@5 73.047 (71.491)
Epoch: [49][410/5005] Time 0.215 (0.213) Data 0.043 (0.049) Loss 2.1657 (2.3706) Prec@1 50.391 (46.022) Prec@5 74.609 (71.506)
Epoch: [49][420/5005] Time 0.212 (0.213) Data 0.047 (0.049) Loss 2.2656 (2.3700) Prec@1 47.656 (46.030) Prec@5 73.828 (71.540)
Epoch: [49][430/5005] Time 0.211 (0.213) Data 0.044 (0.049) Loss 2.2560 (2.3696) Prec@1 51.562 (46.030) Prec@5 73.438 (71.558)
Epoch: [49][440/5005] Time 0.218 (0.213) Data 0.042 (0.049) Loss 2.1604 (2.3684) Prec@1 51.172 (46.031) Prec@5 75.391 (71.588)
Epoch: [49][450/5005] Time 0.218 (0.213) Data 0.048 (0.049) Loss 2.2172 (2.3691) Prec@1 46.484 (46.002) Prec@5 74.219 (71.582)
Epoch: [49][460/5005] Time 0.203 (0.213) Data 0.047 (0.048) Loss 2.4979 (2.3705) Prec@1 43.750 (45.988) Prec@5 67.188 (71.554)
Epoch: [49][470/5005] Time 0.198 (0.213) Data 0.051 (0.048) Loss 2.3149 (2.3712) Prec@1 48.047 (45.989) Prec@5 71.875 (71.531)
Epoch: [49][480/5005] Time 0.219 (0.213) Data 0.048 (0.048) Loss 2.3385 (2.3707) Prec@1 46.484 (46.020) Prec@5 73.438 (71.536)
Epoch: [49][490/5005] Time 0.215 (0.213) Data 0.060 (0.048) Loss 2.3280 (2.3706) Prec@1 51.562 (46.013) Prec@5 73.047 (71.548)
Epoch: [49][500/5005] Time 0.203 (0.213) Data 0.063 (0.048) Loss 2.4085 (2.3721) Prec@1 42.969 (45.997) Prec@5 70.703 (71.518)
Epoch: [49][510/5005] Time 0.206 (0.213) Data 0.048 (0.048) Loss 2.6321 (2.3726) Prec@1 38.672 (45.995) Prec@5 67.188 (71.525)
Epoch: [49][520/5005] Time 0.223 (0.213) Data 0.045 (0.048) Loss 2.4223 (2.3721) Prec@1 42.578 (45.996) Prec@5 72.266 (71.541)
Epoch: [49][530/5005] Time 0.212 (0.213) Data 0.047 (0.048) Loss 2.2178 (2.3716) Prec@1 48.047 (46.011) Prec@5 73.047 (71.546)
Epoch: [49][540/5005] Time 0.218 (0.213) Data 0.042 (0.048) Loss 2.5205 (2.3720) Prec@1 44.922 (45.997) Prec@5 72.266 (71.562)
Epoch: [49][550/5005] Time 0.213 (0.213) Data 0.042 (0.048) Loss 2.3178 (2.3712) Prec@1 47.266 (46.004) Prec@5 76.953 (71.571)
Epoch: [49][560/5005] Time 0.208 (0.213) Data 0.044 (0.048) Loss 2.4100 (2.3715) Prec@1 48.438 (46.014) Prec@5 73.438 (71.583)
Epoch: [49][570/5005] Time 0.217 (0.213) Data 0.043 (0.048) Loss 2.4306 (2.3721) Prec@1 45.703 (46.013) Prec@5 69.141 (71.582)
Epoch: [49][580/5005] Time 0.197 (0.213) Data 0.049 (0.048) Loss 2.3698 (2.3722) Prec@1 47.656 (46.005) Prec@5 72.266 (71.591)
Epoch: [49][590/5005] Time 0.211 (0.213) Data 0.048 (0.048) Loss 2.4914 (2.3726) Prec@1 42.969 (46.017) Prec@5 69.922 (71.568)
Epoch: [49][600/5005] Time 0.213 (0.213) Data 0.049 (0.048) Loss 2.3613 (2.3734) Prec@1 45.312 (46.018) Prec@5 73.438 (71.545)
Epoch: [49][610/5005] Time 0.217 (0.213) Data 0.052 (0.048) Loss 2.2683 (2.3736) Prec@1 47.656 (46.004) Prec@5 75.000 (71.553)
Epoch: [49][620/5005] Time 0.216 (0.213) Data 0.048 (0.048) Loss 2.3531 (2.3732) Prec@1 46.875 (46.025) Prec@5 71.484 (71.570)
Epoch: [49][630/5005] Time 0.214 (0.213) Data 0.042 (0.048) Loss 2.5369 (2.3727) Prec@1 42.578 (46.049) Prec@5 69.922 (71.583)
Epoch: [49][640/5005] Time 0.201 (0.213) Data 0.048 (0.048) Loss 2.2527 (2.3725) Prec@1 46.484 (46.049) Prec@5 71.875 (71.576)
Epoch: [49][650/5005] Time 0.224 (0.213) Data 0.048 (0.048) Loss 2.5146 (2.3733) Prec@1 41.406 (46.040) Prec@5 69.141 (71.547)
Epoch: [49][660/5005] Time 0.212 (0.213) Data 0.048 (0.048) Loss 2.5320 (2.3731) Prec@1 40.234 (46.052) Prec@5 72.266 (71.562)
Epoch: [49][670/5005] Time 0.213 (0.213) Data 0.047 (0.048) Loss 2.6279 (2.3736) Prec@1 42.578 (46.042) Prec@5 69.922 (71.551)
Epoch: [49][680/5005] Time 0.208 (0.213) Data 0.049 (0.048) Loss 2.3545 (2.3735) Prec@1 47.656 (46.040) Prec@5 70.703 (71.543)
Epoch: [49][690/5005] Time 0.212 (0.213) Data 0.048 (0.048) Loss 2.3681 (2.3738) Prec@1 48.438 (46.039) Prec@5 74.219 (71.543)
Epoch: [49][700/5005] Time 0.207 (0.213) Data 0.052 (0.048) Loss 2.3631 (2.3734) Prec@1 44.141 (46.048) Prec@5 70.703 (71.543)
Epoch: [49][710/5005] Time 0.206 (0.213) Data 0.056 (0.048) Loss 2.3046 (2.3737) Prec@1 45.312 (46.054) Prec@5 70.312 (71.537)
Epoch: [49][720/5005] Time 0.210 (0.213) Data 0.046 (0.049) Loss 2.2421 (2.3731) Prec@1 44.531 (46.050) Prec@5 72.656 (71.542)
Epoch: [49][730/5005] Time 0.216 (0.213) Data 0.043 (0.049) Loss 2.5764 (2.3734) Prec@1 42.969 (46.043) Prec@5 67.969 (71.530)
Epoch: [49][740/5005] Time 0.213 (0.213) Data 0.051 (0.049) Loss 2.4463 (2.3736) Prec@1 48.828 (46.053) Prec@5 71.875 (71.513)
Epoch: [49][750/5005] Time 0.209 (0.213) Data 0.050 (0.049) Loss 2.1466 (2.3729) Prec@1 46.094 (46.062) Prec@5 75.391 (71.522)
Epoch: [49][760/5005] Time 0.215 (0.213) Data 0.044 (0.048) Loss 2.3544 (2.3728) Prec@1 42.969 (46.047) Prec@5 73.828 (71.527)
Epoch: [49][770/5005] Time 0.216 (0.213) Data 0.047 (0.048) Loss 2.3119 (2.3715) Prec@1 46.875 (46.070) Prec@5 73.828 (71.548)
Epoch: [49][780/5005] Time 0.219 (0.213) Data 0.042 (0.048) Loss 2.4034 (2.3714) Prec@1 50.000 (46.087) Prec@5 67.969 (71.539)
Epoch: [49][790/5005] Time 0.216 (0.213) Data 0.044 (0.048) Loss 2.3320 (2.3709) Prec@1 46.484 (46.095) Prec@5 75.781 (71.552)
Epoch: [49][800/5005] Time 0.213 (0.213) Data 0.044 (0.048) Loss 2.1839 (2.3698) Prec@1 47.266 (46.121) Prec@5 78.516 (71.573)
Epoch: [49][810/5005] Time 0.211 (0.213) Data 0.048 (0.048) Loss 2.5444 (2.3703) Prec@1 42.578 (46.102) Prec@5 67.578 (71.564)
Epoch: [49][820/5005] Time 0.216 (0.213) Data 0.048 (0.048) Loss 2.5242 (2.3707) Prec@1 42.969 (46.105) Prec@5 65.625 (71.549)
Epoch: [49][830/5005] Time 0.212 (0.213) Data 0.044 (0.048) Loss 2.3348 (2.3708) Prec@1 47.266 (46.105) Prec@5 72.656 (71.545)
Epoch: [49][840/5005] Time 0.227 (0.213) Data 0.044 (0.048) Loss 2.2660 (2.3710) Prec@1 48.438 (46.103) Prec@5 71.484 (71.544)
Epoch: [49][850/5005] Time 0.208 (0.213) Data 0.050 (0.048) Loss 2.5236 (2.3708) Prec@1 43.750 (46.108) Prec@5 71.484 (71.561)
Epoch: [49][860/5005] Time 0.218 (0.213) Data 0.045 (0.048) Loss 2.3086 (2.3711) Prec@1 44.141 (46.096) Prec@5 73.438 (71.555)
Epoch: [49][870/5005] Time 0.208 (0.213) Data 0.046 (0.048) Loss 2.3196 (2.3700) Prec@1 41.406 (46.111) Prec@5 73.438 (71.572)
Epoch: [49][880/5005] Time 0.213 (0.213) Data 0.042 (0.048) Loss 2.3739 (2.3704) Prec@1 42.578 (46.099) Prec@5 67.188 (71.568)
Epoch: [49][890/5005] Time 0.213 (0.213) Data 0.044 (0.048) Loss 2.5648 (2.3703) Prec@1 38.672 (46.094) Prec@5 67.578 (71.560)
Epoch: [49][900/5005] Time 0.216 (0.213) Data 0.047 (0.048) Loss 2.2156 (2.3696) Prec@1 50.000 (46.108) Prec@5 75.781 (71.579)
Epoch: [49][910/5005] Time 0.205 (0.213) Data 0.046 (0.048) Loss 2.3995 (2.3695) Prec@1 45.703 (46.101) Prec@5 74.219 (71.580)
Epoch: [49][920/5005] Time 0.204 (0.213) Data 0.041 (0.048) Loss 2.4053 (2.3691) Prec@1 44.922 (46.108) Prec@5 72.266 (71.589)
Epoch: [49][930/5005] Time 0.209 (0.213) Data 0.047 (0.048) Loss 2.4638 (2.3689) Prec@1 47.656 (46.126) Prec@5 70.703 (71.583)
Epoch: [49][940/5005] Time 0.216 (0.213) Data 0.041 (0.048) Loss 2.2437 (2.3690) Prec@1 45.703 (46.119) Prec@5 70.703 (71.585)
Epoch: [49][950/5005] Time 0.206 (0.213) Data 0.043 (0.048) Loss 2.3985 (2.3695) Prec@1 49.609 (46.118) Prec@5 70.703 (71.573)
Epoch: [49][960/5005] Time 0.211 (0.213) Data 0.051 (0.048) Loss 2.5879 (2.3696) Prec@1 41.406 (46.112) Prec@5 66.406 (71.571)
Epoch: [49][970/5005] Time 0.212 (0.213) Data 0.066 (0.048) Loss 2.2312 (2.3698) Prec@1 48.828 (46.111) Prec@5 75.000 (71.570)
Epoch: [49][980/5005] Time 0.212 (0.213) Data 0.048 (0.048) Loss 2.2640 (2.3690) Prec@1 46.875 (46.130) Prec@5 73.047 (71.580)
Epoch: [49][990/5005] Time 0.219 (0.213) Data 0.042 (0.048) Loss 2.3660 (2.3697) Prec@1 43.750 (46.119) Prec@5 72.266 (71.558)
Epoch: [49][1000/5005] Time 0.205 (0.213) Data 0.046 (0.048) Loss 2.2283 (2.3692) Prec@1 48.828 (46.128) Prec@5 75.781 (71.562)
Epoch: [49][1010/5005] Time 0.205 (0.213) Data 0.043 (0.048) Loss 2.2906 (2.3688) Prec@1 49.219 (46.136) Prec@5 70.703 (71.568)
Epoch: [49][1020/5005] Time 0.197 (0.213) Data 0.060 (0.048) Loss 2.2196 (2.3693) Prec@1 47.656 (46.137) Prec@5 75.391 (71.562)
Epoch: [49][1030/5005] Time 0.218 (0.213) Data 0.065 (0.048) Loss 2.3049 (2.3687) Prec@1 45.312 (46.146) Prec@5 71.875 (71.567)
Epoch: [49][1040/5005] Time 0.190 (0.214) Data 0.059 (0.048) Loss 2.4845 (2.3694) Prec@1 44.531 (46.141) Prec@5 67.969 (71.562)
Epoch: [49][1050/5005] Time 0.210 (0.214) Data 0.041 (0.048) Loss 2.4930 (2.3694) Prec@1 47.266 (46.138) Prec@5 70.703 (71.561)
Epoch: [49][1060/5005] Time 0.204 (0.214) Data 0.042 (0.048) Loss 2.4682 (2.3696) Prec@1 46.875 (46.146) Prec@5 71.094 (71.565)
Epoch: [49][1070/5005] Time 0.208 (0.213) Data 0.042 (0.048) Loss 2.3650 (2.3695) Prec@1 44.531 (46.142) Prec@5 72.656 (71.561)
Epoch: [49][1080/5005] Time 0.207 (0.213) Data 0.044 (0.048) Loss 2.3799 (2.3697) Prec@1 43.750 (46.145) Prec@5 72.656 (71.558)
Epoch: [49][1090/5005] Time 0.208 (0.213) Data 0.044 (0.048) Loss 2.3066 (2.3693) Prec@1 48.438 (46.147) Prec@5 71.094 (71.568)
Epoch: [49][1100/5005] Time 0.216 (0.213) Data 0.044 (0.048) Loss 2.2455 (2.3689) Prec@1 48.047 (46.152) Prec@5 72.266 (71.574)
Epoch: [49][1110/5005] Time 0.198 (0.213) Data 0.056 (0.048) Loss 2.4497 (2.3689) Prec@1 43.750 (46.146) Prec@5 70.312 (71.578)
Epoch: [49][1120/5005] Time 0.214 (0.213) Data 0.042 (0.048) Loss 2.2755 (2.3681) Prec@1 46.875 (46.156) Prec@5 72.266 (71.592)
Epoch: [49][1130/5005] Time 0.213 (0.213) Data 0.042 (0.048) Loss 2.3813 (2.3683) Prec@1 44.531 (46.161) Prec@5 72.656 (71.582)
Epoch: [49][1140/5005] Time 0.210 (0.213) Data 0.042 (0.048) Loss 2.4816 (2.3680) Prec@1 42.969 (46.165) Prec@5 71.094 (71.588)
Epoch: [49][1150/5005] Time 0.210 (0.213) Data 0.040 (0.048) Loss 2.3579 (2.3677) Prec@1 43.359 (46.172) Prec@5 72.656 (71.594)
Epoch: [49][1160/5005] Time 0.209 (0.213) Data 0.044 (0.048) Loss 2.3593 (2.3681) Prec@1 47.656 (46.169) Prec@5 71.484 (71.578)
Epoch: [49][1170/5005] Time 0.212 (0.213) Data 0.043 (0.048) Loss 2.2879 (2.3681) Prec@1 46.875 (46.170) Prec@5 71.484 (71.576)
Epoch: [49][1180/5005] Time 0.210 (0.213) Data 0.043 (0.048) Loss 2.3928 (2.3679) Prec@1 46.094 (46.164) Prec@5 69.531 (71.578)
Epoch: [49][1190/5005] Time 0.209 (0.213) Data 0.043 (0.048) Loss 2.1829 (2.3677) Prec@1 47.656 (46.169) Prec@5 72.656 (71.583)
Epoch: [49][1200/5005] Time 0.209 (0.213) Data 0.040 (0.048) Loss 2.4992 (2.3679) Prec@1 41.797 (46.168) Prec@5 71.875 (71.590)
Epoch: [49][1210/5005] Time 0.221 (0.213) Data 0.043 (0.048) Loss 2.2842 (2.3680) Prec@1 43.359 (46.163) Prec@5 76.172 (71.589)
Epoch: [49][1220/5005] Time 0.217 (0.213) Data 0.046 (0.048) Loss 2.2467 (2.3682) Prec@1 46.875 (46.152) Prec@5 71.875 (71.581)
Epoch: [49][1230/5005] Time 0.218 (0.213) Data 0.048 (0.048) Loss 2.3553 (2.3680) Prec@1 47.266 (46.145) Prec@5 71.484 (71.584)
Epoch: [49][1240/5005] Time 0.205 (0.213) Data 0.060 (0.048) Loss 2.4474 (2.3681) Prec@1 46.484 (46.138) Prec@5 70.312 (71.579)
Epoch: [49][1250/5005] Time 0.203 (0.213) Data 0.056 (0.048) Loss 2.5970 (2.3685) Prec@1 43.359 (46.132) Prec@5 67.969 (71.574)
Epoch: [49][1260/5005] Time 0.227 (0.213) Data 0.043 (0.048) Loss 1.9754 (2.3678) Prec@1 52.734 (46.147) Prec@5 78.516 (71.592)
Epoch: [49][1270/5005] Time 0.204 (0.213) Data 0.059 (0.048) Loss 2.4931 (2.3684) Prec@1 48.047 (46.148) Prec@5 67.578 (71.580)
Epoch: [49][1280/5005] Time 0.210 (0.213) Data 0.050 (0.048) Loss 2.3539 (2.3686) Prec@1 48.047 (46.153) Prec@5 70.312 (71.572)
Epoch: [49][1290/5005] Time 0.211 (0.213) Data 0.040 (0.048) Loss 2.2135 (2.3682) Prec@1 47.656 (46.162) Prec@5 72.266 (71.571)
Epoch: [49][1300/5005] Time 0.212 (0.213) Data 0.043 (0.048) Loss 2.1731 (2.3679) Prec@1 49.219 (46.168) Prec@5 75.000 (71.578)
Epoch: [49][1310/5005] Time 0.209 (0.213) Data 0.043 (0.048) Loss 2.4380 (2.3677) Prec@1 42.969 (46.169) Prec@5 72.656 (71.591)
Epoch: [49][1320/5005] Time 0.209 (0.213) Data 0.043 (0.048) Loss 2.5413 (2.3676) Prec@1 44.531 (46.177) Prec@5 67.969 (71.595)
Epoch: [49][1330/5005] Time 0.213 (0.213) Data 0.043 (0.048) Loss 2.4109 (2.3682) Prec@1 42.969 (46.167) Prec@5 72.656 (71.590)
Epoch: [49][1340/5005] Time 0.211 (0.213) Data 0.050 (0.048) Loss 2.3646 (2.3683) Prec@1 44.922 (46.161) Prec@5 70.312 (71.584)
Epoch: [49][1350/5005] Time 0.206 (0.213) Data 0.056 (0.048) Loss 2.6410 (2.3683) Prec@1 41.406 (46.155) Prec@5 67.578 (71.584)
Epoch: [49][1360/5005] Time 0.211 (0.213) Data 0.050 (0.048) Loss 2.3183 (2.3682) Prec@1 48.047 (46.166) Prec@5 73.438 (71.587)
Epoch: [49][1370/5005] Time 0.218 (0.213) Data 0.042 (0.048) Loss 2.3335 (2.3679) Prec@1 50.781 (46.163) Prec@5 76.172 (71.593)
Epoch: [49][1380/5005] Time 0.203 (0.213) Data 0.063 (0.048) Loss 2.3653 (2.3678) Prec@1 45.703 (46.163) Prec@5 73.828 (71.594)
Epoch: [49][1390/5005] Time 0.215 (0.213) Data 0.045 (0.048) Loss 2.3280 (2.3678) Prec@1 45.703 (46.166) Prec@5 72.266 (71.597)
Epoch: [49][1400/5005] Time 0.210 (0.213) Data 0.050 (0.048) Loss 2.3338 (2.3670) Prec@1 46.484 (46.173) Prec@5 69.922 (71.617)
Epoch: [49][1410/5005] Time 0.209 (0.213) Data 0.050 (0.048) Loss 2.2720 (2.3666) Prec@1 49.219 (46.177) Prec@5 75.000 (71.629)
Epoch: [49][1420/5005] Time 0.212 (0.213) Data 0.051 (0.048) Loss 2.5767 (2.3668) Prec@1 45.312 (46.179) Prec@5 66.797 (71.626)
Epoch: [49][1430/5005] Time 0.217 (0.213) Data 0.047 (0.048) Loss 2.0061 (2.3662) Prec@1 53.125 (46.196) Prec@5 78.516 (71.639)
Epoch: [49][1440/5005] Time 0.209 (0.213) Data 0.049 (0.048) Loss 2.0830 (2.3661) Prec@1 52.344 (46.201) Prec@5 76.562 (71.638)
Epoch: [49][1450/5005] Time 0.210 (0.213) Data 0.042 (0.048) Loss 2.4160 (2.3660) Prec@1 47.656 (46.206) Prec@5 71.875 (71.641)
Epoch: [49][1460/5005] Time 0.212 (0.213) Data 0.043 (0.048) Loss 2.3933 (2.3658) Prec@1 42.969 (46.206) Prec@5 69.531 (71.645)
Epoch: [49][1470/5005] Time 0.209 (0.213) Data 0.042 (0.048) Loss 2.3602 (2.3662) Prec@1 47.656 (46.199) Prec@5 71.484 (71.647)
Epoch: [49][1480/5005] Time 0.205 (0.213) Data 0.044 (0.048) Loss 2.3651 (2.3665) Prec@1 46.484 (46.188) Prec@5 70.312 (71.645)
Epoch: [49][1490/5005] Time 0.208 (0.213) Data 0.043 (0.048) Loss 2.4575 (2.3662) Prec@1 46.094 (46.192) Prec@5 70.703 (71.654)
Epoch: [49][1500/5005] Time 0.214 (0.213) Data 0.045 (0.048) Loss 2.4143 (2.3658) Prec@1 44.531 (46.201) Prec@5 72.266 (71.659)
Epoch: [49][1510/5005] Time 0.209 (0.213) Data 0.042 (0.048) Loss 2.2291 (2.3659) Prec@1 48.047 (46.198) Prec@5 73.828 (71.661)
Epoch: [49][1520/5005] Time 0.204 (0.213) Data 0.046 (0.048) Loss 2.3762 (2.3655) Prec@1 44.531 (46.198) Prec@5 69.922 (71.665)
Epoch: [49][1530/5005] Time 0.214 (0.213) Data 0.043 (0.048) Loss 2.5166 (2.3658) Prec@1 44.922 (46.197) Prec@5 72.656 (71.662)
Epoch: [49][1540/5005] Time 0.210 (0.212) Data 0.048 (0.048) Loss 2.4245 (2.3662) Prec@1 47.266 (46.194) Prec@5 68.750 (71.650)
Epoch: [49][1550/5005] Time 0.199 (0.212) Data 0.051 (0.048) Loss 2.2708 (2.3659) Prec@1 51.172 (46.199) Prec@5 76.172 (71.658)
Epoch: [49][1560/5005] Time 0.211 (0.212) Data 0.046 (0.048) Loss 2.3021 (2.3662) Prec@1 47.656 (46.192) Prec@5 67.969 (71.650)
Epoch: [49][1570/5005] Time 0.210 (0.212) Data 0.051 (0.048) Loss 2.2288 (2.3659) Prec@1 50.000 (46.203) Prec@5 73.438 (71.655)
Epoch: [49][1580/5005] Time 0.210 (0.212) Data 0.044 (0.048) Loss 2.3111 (2.3662) Prec@1 43.359 (46.192) Prec@5 74.609 (71.649)
Epoch: [49][1590/5005] Time 0.214 (0.212) Data 0.048 (0.048) Loss 2.2543 (2.3662) Prec@1 52.344 (46.195) Prec@5 72.656 (71.652)
Epoch: [49][1600/5005] Time 0.205 (0.212) Data 0.059 (0.048) Loss 2.3432 (2.3662) Prec@1 48.047 (46.202) Prec@5 70.703 (71.653)
Epoch: [49][1610/5005] Time 0.208 (0.212) Data 0.041 (0.048) Loss 2.3683 (2.3661) Prec@1 46.094 (46.201) Prec@5 71.094 (71.653)
Epoch: [49][1620/5005] Time 0.212 (0.212) Data 0.043 (0.048) Loss 2.5752 (2.3659) Prec@1 43.359 (46.203) Prec@5 67.578 (71.655)
Epoch: [49][1630/5005] Time 0.210 (0.212) Data 0.042 (0.048) Loss 2.2447 (2.3662) Prec@1 51.562 (46.203) Prec@5 73.047 (71.644)
Epoch: [49][1640/5005] Time 0.207 (0.212) Data 0.042 (0.048) Loss 2.4698 (2.3665) Prec@1 45.312 (46.208) Prec@5 71.484 (71.637)
Epoch: [49][1650/5005] Time 0.210 (0.212) Data 0.043 (0.048) Loss 2.3336 (2.3665) Prec@1 45.312 (46.212) Prec@5 70.312 (71.637)
Epoch: [49][1660/5005] Time 0.212 (0.212) Data 0.041 (0.048) Loss 2.3286 (2.3662) Prec@1 49.609 (46.222) Prec@5 72.656 (71.646)
Epoch: [49][1670/5005] Time 0.195 (0.212) Data 0.063 (0.048) Loss 2.1975 (2.3663) Prec@1 47.266 (46.220) Prec@5 77.734 (71.651)
Epoch: [49][1680/5005] Time 0.219 (0.212) Data 0.049 (0.048) Loss 2.5832 (2.3665) Prec@1 45.703 (46.220) Prec@5 67.188 (71.643)
Epoch: [49][1690/5005] Time 0.201 (0.212) Data 0.042 (0.048) Loss 2.3105 (2.3665) Prec@1 49.219 (46.219) Prec@5 74.219 (71.648)
Epoch: [49][1700/5005] Time 0.201 (0.212) Data 0.045 (0.048) Loss 2.2436 (2.3662) Prec@1 47.266 (46.225) Prec@5 73.047 (71.655)
Epoch: [49][1710/5005] Time 0.217 (0.212) Data 0.044 (0.047) Loss 2.1842 (2.3656) Prec@1 48.828 (46.232) Prec@5 76.953 (71.662)
Epoch: [49][1720/5005] Time 0.214 (0.212) Data 0.043 (0.047) Loss 2.3812 (2.3657) Prec@1 50.000 (46.233) Prec@5 72.266 (71.662)
Epoch: [49][1730/5005] Time 0.197 (0.212) Data 0.044 (0.047) Loss 2.3451 (2.3658) Prec@1 41.797 (46.230) Prec@5 75.781 (71.662)
Epoch: [49][1740/5005] Time 0.214 (0.212) Data 0.042 (0.047) Loss 2.5370 (2.3656) Prec@1 44.141 (46.234) Prec@5 67.578 (71.666)
Epoch: [49][1750/5005] Time 0.211 (0.212) Data 0.042 (0.047) Loss 2.5069 (2.3655) Prec@1 42.578 (46.229) Prec@5 70.312 (71.672)
Epoch: [49][1760/5005] Time 0.206 (0.212) Data 0.040 (0.047) Loss 2.1000 (2.3653) Prec@1 53.516 (46.234) Prec@5 75.781 (71.674)
Epoch: [49][1770/5005] Time 0.213 (0.212) Data 0.043 (0.047) Loss 2.4350 (2.3651) Prec@1 40.625 (46.234) Prec@5 72.656 (71.683)
Epoch: [49][1780/5005] Time 0.210 (0.212) Data 0.060 (0.047) Loss 2.2489 (2.3650) Prec@1 44.922 (46.236) Prec@5 72.656 (71.683)
Epoch: [49][1790/5005] Time 0.201 (0.212) Data 0.043 (0.047) Loss 2.2523 (2.3650) Prec@1 47.656 (46.239) Prec@5 72.656 (71.682)
Epoch: [49][1800/5005] Time 0.209 (0.212) Data 0.039 (0.047) Loss 2.4100 (2.3650) Prec@1 45.703 (46.243) Prec@5 71.094 (71.684)
Epoch: [49][1810/5005] Time 0.218 (0.212) Data 0.047 (0.047) Loss 2.3239 (2.3648) Prec@1 48.047 (46.247) Prec@5 73.828 (71.691)
Epoch: [49][1820/5005] Time 0.208 (0.212) Data 0.048 (0.047) Loss 2.4555 (2.3648) Prec@1 46.484 (46.248) Prec@5 71.094 (71.691)
Epoch: [49][1830/5005] Time 0.207 (0.212) Data 0.040 (0.047) Loss 2.0918 (2.3644) Prec@1 50.781 (46.253) Prec@5 78.516 (71.695)
Epoch: [49][1840/5005] Time 0.198 (0.212) Data 0.041 (0.047) Loss 2.4682 (2.3643) Prec@1 44.922 (46.259) Prec@5 69.141 (71.700)
Epoch: [49][1850/5005] Time 0.205 (0.212) Data 0.045 (0.047) Loss 2.3928 (2.3642) Prec@1 44.141 (46.259) Prec@5 73.047 (71.700)
Epoch: [49][1860/5005] Time 0.212 (0.212) Data 0.043 (0.047) Loss 2.3781 (2.3642) Prec@1 46.094 (46.252) Prec@5 71.484 (71.698)
Epoch: [49][1870/5005] Time 0.212 (0.212) Data 0.044 (0.047) Loss 2.5769 (2.3645) Prec@1 39.844 (46.248) Prec@5 71.094 (71.697)
Epoch: [49][1880/5005] Time 0.214 (0.212) Data 0.051 (0.047) Loss 2.3924 (2.3646) Prec@1 47.266 (46.249) Prec@5 71.875 (71.695)
Epoch: [49][1890/5005] Time 0.208 (0.212) Data 0.048 (0.047) Loss 2.3547 (2.3645) Prec@1 46.094 (46.243) Prec@5 71.484 (71.696)
Epoch: [49][1900/5005] Time 0.207 (0.212) Data 0.046 (0.047) Loss 2.4708 (2.3651) Prec@1 47.266 (46.238) Prec@5 69.531 (71.690)
Epoch: [49][1910/5005] Time 0.197 (0.212) Data 0.045 (0.047) Loss 2.3388 (2.3650) Prec@1 42.969 (46.231) Prec@5 72.656 (71.690)
Epoch: [49][1920/5005] Time 0.210 (0.212) Data 0.046 (0.047) Loss 2.2685 (2.3648) Prec@1 47.656 (46.231) Prec@5 74.219 (71.696)
Epoch: [49][1930/5005] Time 0.208 (0.212) Data 0.059 (0.047) Loss 2.1928 (2.3646) Prec@1 50.000 (46.240) Prec@5 75.000 (71.702)
Epoch: [49][1940/5005] Time 0.210 (0.212) Data 0.046 (0.047) Loss 2.2401 (2.3641) Prec@1 49.219 (46.242) Prec@5 73.828 (71.711)
Epoch: [49][1950/5005] Time 0.213 (0.212) Data 0.043 (0.047) Loss 2.4671 (2.3640) Prec@1 45.703 (46.250) Prec@5 70.703 (71.713)
Epoch: [49][1960/5005] Time 0.211 (0.212) Data 0.044 (0.047) Loss 2.2382 (2.3636) Prec@1 44.922 (46.255) Prec@5 73.047 (71.720)
Epoch: [49][1970/5005] Time 0.195 (0.212) Data 0.040 (0.047) Loss 2.3337 (2.3639) Prec@1 45.312 (46.248) Prec@5 71.484 (71.718)
Epoch: [49][1980/5005] Time 0.215 (0.212) Data 0.044 (0.047) Loss 2.1315 (2.3637) Prec@1 51.562 (46.256) Prec@5 73.828 (71.718)
Epoch: [49][1990/5005] Time 0.196 (0.212) Data 0.047 (0.047) Loss 2.1946 (2.3636) Prec@1 51.953 (46.261) Prec@5 73.438 (71.716)
Epoch: [49][2000/5005] Time 0.214 (0.212) Data 0.039 (0.047) Loss 2.1029 (2.3638) Prec@1 50.000 (46.259) Prec@5 80.078 (71.712)
Epoch: [49][2010/5005] Time 0.203 (0.212) Data 0.040 (0.047) Loss 2.2721 (2.3638) Prec@1 46.875 (46.255) Prec@5 71.484 (71.713)
Epoch: [49][2020/5005] Time 0.207 (0.212) Data 0.040 (0.047) Loss 2.4763 (2.3638) Prec@1 45.703 (46.252) Prec@5 71.875 (71.710)
Epoch: [49][2030/5005] Time 0.202 (0.212) Data 0.046 (0.047) Loss 2.3867 (2.3641) Prec@1 45.703 (46.251) Prec@5 73.047 (71.705)
Epoch: [49][2040/5005] Time 0.215 (0.212) Data 0.049 (0.047) Loss 2.1013 (2.3640) Prec@1 47.656 (46.246) Prec@5 75.000 (71.711)
Epoch: [49][2050/5005] Time 0.204 (0.212) Data 0.043 (0.047) Loss 2.4192 (2.3639) Prec@1 42.969 (46.246) Prec@5 72.266 (71.714)
Epoch: [49][2060/5005] Time 0.195 (0.212) Data 0.045 (0.047) Loss 2.3072 (2.3639) Prec@1 46.094 (46.245) Prec@5 72.266 (71.716)
Epoch: [49][2070/5005] Time 0.206 (0.212) Data 0.046 (0.047) Loss 2.5723 (2.3641) Prec@1 41.797 (46.235) Prec@5 69.141 (71.713)
Epoch: [49][2080/5005] Time 0.209 (0.212) Data 0.042 (0.047) Loss 2.3613 (2.3639) Prec@1 46.875 (46.239) Prec@5 72.266 (71.711)
Epoch: [49][2090/5005] Time 0.208 (0.212) Data 0.046 (0.047) Loss 2.1892 (2.3633) Prec@1 47.266 (46.250) Prec@5 72.656 (71.717)
Epoch: [49][2100/5005] Time 0.199 (0.212) Data 0.045 (0.047) Loss 2.2902 (2.3632) Prec@1 47.266 (46.256) Prec@5 73.438 (71.718)
Epoch: [49][2110/5005] Time 0.209 (0.212) Data 0.047 (0.047) Loss 2.2243 (2.3632) Prec@1 50.391 (46.254) Prec@5 74.609 (71.720)
Epoch: [49][2120/5005] Time 0.209 (0.212) Data 0.045 (0.047) Loss 2.5243 (2.3632) Prec@1 44.141 (46.246) Prec@5 66.016 (71.719)
Epoch: [49][2130/5005] Time 0.211 (0.212) Data 0.043 (0.047) Loss 2.2609 (2.3629) Prec@1 49.219 (46.248) Prec@5 74.609 (71.727)
Epoch: [49][2140/5005] Time 0.206 (0.212) Data 0.044 (0.047) Loss 2.2561 (2.3629) Prec@1 50.391 (46.254) Prec@5 73.438 (71.725)
Epoch: [49][2150/5005] Time 0.210 (0.212) Data 0.042 (0.047) Loss 2.2247 (2.3630) Prec@1 44.922 (46.248) Prec@5 71.875 (71.724)
Epoch: [49][2160/5005] Time 0.214 (0.212) Data 0.042 (0.047) Loss 2.2379 (2.3628) Prec@1 48.828 (46.250) Prec@5 73.047 (71.726)
Epoch: [49][2170/5005] Time 0.210 (0.212) Data 0.043 (0.047) Loss 2.1994 (2.3625) Prec@1 52.734 (46.257) Prec@5 76.953 (71.730)
Epoch: [49][2180/5005] Time 0.212 (0.212) Data 0.046 (0.047) Loss 2.3078 (2.3625) Prec@1 51.562 (46.259) Prec@5 69.141 (71.730)
Epoch: [49][2190/5005] Time 0.199 (0.212) Data 0.053 (0.047) Loss 2.7027 (2.3625) Prec@1 43.359 (46.262) Prec@5 65.234 (71.730)
Epoch: [49][2200/5005] Time 0.206 (0.212) Data 0.050 (0.047) Loss 2.4430 (2.3628) Prec@1 45.703 (46.256) Prec@5 69.141 (71.726)
Epoch: [49][2210/5005] Time 0.203 (0.212) Data 0.043 (0.047) Loss 2.3727 (2.3631) Prec@1 47.656 (46.254) Prec@5 71.094 (71.721)
Epoch: [49][2220/5005] Time 0.204 (0.212) Data 0.046 (0.047) Loss 2.4425 (2.3627) Prec@1 42.969 (46.261) Prec@5 70.703 (71.728)
Epoch: [49][2230/5005] Time 0.209 (0.212) Data 0.044 (0.047) Loss 2.4996 (2.3628) Prec@1 45.703 (46.260) Prec@5 70.703 (71.725)
Epoch: [49][2240/5005] Time 0.212 (0.211) Data 0.044 (0.047) Loss 2.3682 (2.3627) Prec@1 44.141 (46.263) Prec@5 75.000 (71.727)
Epoch: [49][2250/5005] Time 0.214 (0.211) Data 0.045 (0.047) Loss 2.1873 (2.3628) Prec@1 49.219 (46.264) Prec@5 76.172 (71.730)
Epoch: [49][2260/5005] Time 0.210 (0.211) Data 0.045 (0.047) Loss 2.2453 (2.3625) Prec@1 44.531 (46.263) Prec@5 73.828 (71.734)
Epoch: [49][2270/5005] Time 0.204 (0.211) Data 0.047 (0.047) Loss 2.5355 (2.3623) Prec@1 39.844 (46.264) Prec@5 69.531 (71.740)
Epoch: [49][2280/5005] Time 0.213 (0.211) Data 0.042 (0.047) Loss 2.4348 (2.3624) Prec@1 46.484 (46.259) Prec@5 74.219 (71.741)
Epoch: [49][2290/5005] Time 0.205 (0.211) Data 0.043 (0.047) Loss 2.3531 (2.3625) Prec@1 49.219 (46.258) Prec@5 71.094 (71.743)
Epoch: [49][2300/5005] Time 0.205 (0.211) Data 0.046 (0.047) Loss 2.3578 (2.3626) Prec@1 43.359 (46.258) Prec@5 70.312 (71.743)
Epoch: [49][2310/5005] Time 0.203 (0.211) Data 0.043 (0.047) Loss 2.1444 (2.3624) Prec@1 50.391 (46.262) Prec@5 73.438 (71.742)
Epoch: [49][2320/5005] Time 0.205 (0.211) Data 0.043 (0.047) Loss 2.5813 (2.3625) Prec@1 44.141 (46.262) Prec@5 68.359 (71.742)
Epoch: [49][2330/5005] Time 0.200 (0.211) Data 0.049 (0.047) Loss 2.3270 (2.3623) Prec@1 49.609 (46.265) Prec@5 71.484 (71.744)
Epoch: [49][2340/5005] Time 0.206 (0.211) Data 0.044 (0.047) Loss 2.2869 (2.3621) Prec@1 45.312 (46.269) Prec@5 77.344 (71.749)
Epoch: [49][2350/5005] Time 0.211 (0.211) Data 0.046 (0.047) Loss 2.3397 (2.3619) Prec@1 47.266 (46.269) Prec@5 69.141 (71.752)
Epoch: [49][2360/5005] Time 0.213 (0.211) Data 0.049 (0.047) Loss 2.3641 (2.3619) Prec@1 47.266 (46.271) Prec@5 71.875 (71.753)
Epoch: [49][2370/5005] Time 0.213 (0.211) Data 0.044 (0.047) Loss 2.4859 (2.3620) Prec@1 41.406 (46.270) Prec@5 69.922 (71.752)
Epoch: [49][2380/5005] Time 0.208 (0.211) Data 0.048 (0.047) Loss 2.3968 (2.3619) Prec@1 47.656 (46.272) Prec@5 71.875 (71.757)
Epoch: [49][2390/5005] Time 0.204 (0.211) Data 0.046 (0.047) Loss 2.4124 (2.3618) Prec@1 44.141 (46.271) Prec@5 69.922 (71.757)
Epoch: [49][2400/5005] Time 0.213 (0.211) Data 0.045 (0.047) Loss 2.2473 (2.3618) Prec@1 51.562 (46.273) Prec@5 75.391 (71.756)
Epoch: [49][2410/5005] Time 0.201 (0.211) Data 0.046 (0.047) Loss 2.5399 (2.3619) Prec@1 48.047 (46.271) Prec@5 69.922 (71.755)
Epoch: [49][2420/5005] Time 0.199 (0.211) Data 0.051 (0.047) Loss 2.3289 (2.3616) Prec@1 48.047 (46.279) Prec@5 73.047 (71.764)
Epoch: [49][2430/5005] Time 0.210 (0.211) Data 0.049 (0.047) Loss 2.1870 (2.3616) Prec@1 50.781 (46.282) Prec@5 74.609 (71.762)
Epoch: [49][2440/5005] Time 0.211 (0.211) Data 0.047 (0.047) Loss 2.2390 (2.3615) Prec@1 46.875 (46.289) Prec@5 75.000 (71.763)
Epoch: [49][2450/5005] Time 0.206 (0.211) Data 0.046 (0.047) Loss 2.1307 (2.3614) Prec@1 49.219 (46.293) Prec@5 75.781 (71.762)
Epoch: [49][2460/5005] Time 0.205 (0.211) Data 0.047 (0.047) Loss 2.3682 (2.3612) Prec@1 46.094 (46.292) Prec@5 71.484 (71.764)
Epoch: [49][2470/5005] Time 0.208 (0.211) Data 0.044 (0.047) Loss 2.2737 (2.3611) Prec@1 46.875 (46.296) Prec@5 69.531 (71.763)
Epoch: [49][2480/5005] Time 0.210 (0.211) Data 0.044 (0.047) Loss 2.5294 (2.3612) Prec@1 44.922 (46.292) Prec@5 69.922 (71.764)
Epoch: [49][2490/5005] Time 0.205 (0.211) Data 0.045 (0.047) Loss 2.2430 (2.3612) Prec@1 46.875 (46.292) Prec@5 73.438 (71.763)
Epoch: [49][2500/5005] Time 0.201 (0.211) Data 0.041 (0.047) Loss 2.3446 (2.3612) Prec@1 46.875 (46.292) Prec@5 71.875 (71.765)
Epoch: [49][2510/5005] Time 0.209 (0.211) Data 0.044 (0.047) Loss 2.3989 (2.3612) Prec@1 45.703 (46.286) Prec@5 71.484 (71.766)
Epoch: [49][2520/5005] Time 0.205 (0.211) Data 0.044 (0.047) Loss 2.1929 (2.3610) Prec@1 49.609 (46.289) Prec@5 75.000 (71.771)
Epoch: [49][2530/5005] Time 0.211 (0.211) Data 0.044 (0.047) Loss 2.6106 (2.3611) Prec@1 44.922 (46.285) Prec@5 64.844 (71.764)
Epoch: [49][2540/5005] Time 0.202 (0.211) Data 0.044 (0.047) Loss 2.2985 (2.3611) Prec@1 45.312 (46.285) Prec@5 72.266 (71.765)
Epoch: [49][2550/5005] Time 0.207 (0.211) Data 0.046 (0.047) Loss 2.3683 (2.3611) Prec@1 44.922 (46.284) Prec@5 71.875 (71.771)
Epoch: [49][2560/5005] Time 0.211 (0.211) Data 0.044 (0.047) Loss 2.6346 (2.3613) Prec@1 42.969 (46.283) Prec@5 65.234 (71.768)
Epoch: [49][2570/5005] Time 0.205 (0.211) Data 0.045 (0.047) Loss 2.4582 (2.3615) Prec@1 42.578 (46.279) Prec@5 70.703 (71.763)
Epoch: [49][2580/5005] Time 0.210 (0.211) Data 0.042 (0.047) Loss 2.4592 (2.3619) Prec@1 44.922 (46.275) Prec@5 67.188 (71.756)
Epoch: [49][2590/5005] Time 0.211 (0.211) Data 0.040 (0.047) Loss 2.4932 (2.3618) Prec@1 44.922 (46.279) Prec@5 71.094 (71.759)
Epoch: [49][2600/5005] Time 0.212 (0.211) Data 0.047 (0.047) Loss 2.3747 (2.3619) Prec@1 44.922 (46.277) Prec@5 73.828 (71.757)
Epoch: [49][2610/5005] Time 0.197 (0.211) Data 0.041 (0.047) Loss 2.5409 (2.3618) Prec@1 42.969 (46.284) Prec@5 71.484 (71.763)
Epoch: [49][2620/5005] Time 0.211 (0.211) Data 0.044 (0.047) Loss 2.3378 (2.3617) Prec@1 45.703 (46.284) Prec@5 73.438 (71.766)
Epoch: [49][2630/5005] Time 0.206 (0.211) Data 0.051 (0.047) Loss 2.5050 (2.3621) Prec@1 45.703 (46.278) Prec@5 69.922 (71.757)
Epoch: [49][2640/5005] Time 0.209 (0.211) Data 0.045 (0.047) Loss 2.4464 (2.3622) Prec@1 44.922 (46.278) Prec@5 71.484 (71.757)
Epoch: [49][2650/5005] Time 0.216 (0.211) Data 0.043 (0.047) Loss 2.5799 (2.3623) Prec@1 40.625 (46.273) Prec@5 66.797 (71.755)
Epoch: [49][2660/5005] Time 0.214 (0.211) Data 0.052 (0.047) Loss 2.4043 (2.3623) Prec@1 48.438 (46.276) Prec@5 72.656 (71.751)
Epoch: [49][2670/5005] Time 0.209 (0.211) Data 0.052 (0.047) Loss 2.0026 (2.3620) Prec@1 53.906 (46.283) Prec@5 78.516 (71.755)
Epoch: [49][2680/5005] Time 0.186 (0.211) Data 0.054 (0.047) Loss 2.2128 (2.3619) Prec@1 46.094 (46.279) Prec@5 77.344 (71.758)
Epoch: [49][2690/5005] Time 0.216 (0.211) Data 0.047 (0.047) Loss 2.2109 (2.3618) Prec@1 50.391 (46.284) Prec@5 72.656 (71.757)
Epoch: [49][2700/5005] Time 0.213 (0.211) Data 0.043 (0.047) Loss 2.3622 (2.3619) Prec@1 42.188 (46.284) Prec@5 71.094 (71.753)
Epoch: [49][2710/5005] Time 0.207 (0.211) Data 0.045 (0.047) Loss 2.2539 (2.3619) Prec@1 47.266 (46.278) Prec@5 71.484 (71.752)
Epoch: [49][2720/5005] Time 0.207 (0.211) Data 0.045 (0.047) Loss 2.2280 (2.3620) Prec@1 50.781 (46.277) Prec@5 76.953 (71.751)
Epoch: [49][2730/5005] Time 0.207 (0.211) Data 0.046 (0.047) Loss 2.3261 (2.3617) Prec@1 49.609 (46.281) Prec@5 71.875 (71.757)
Epoch: [49][2740/5005] Time 0.211 (0.211) Data 0.044 (0.047) Loss 2.4133 (2.3616) Prec@1 44.141 (46.285) Prec@5 69.141 (71.757)
Epoch: [49][2750/5005] Time 0.199 (0.211) Data 0.044 (0.047) Loss 2.3183 (2.3616) Prec@1 47.266 (46.283) Prec@5 71.484 (71.753)
Epoch: [49][2760/5005] Time 0.216 (0.211) Data 0.044 (0.047) Loss 2.2687 (2.3616) Prec@1 49.219 (46.281) Prec@5 71.875 (71.756)
Epoch: [49][2770/5005] Time 0.205 (0.211) Data 0.043 (0.047) Loss 2.2450 (2.3615) Prec@1 50.000 (46.284) Prec@5 75.781 (71.761)
Epoch: [49][2780/5005] Time 0.206 (0.211) Data 0.064 (0.047) Loss 2.6240 (2.3616) Prec@1 43.359 (46.283) Prec@5 63.672 (71.758)
Epoch: [49][2790/5005] Time 0.212 (0.211) Data 0.042 (0.047) Loss 2.6396 (2.3618) Prec@1 35.547 (46.281) Prec@5 70.312 (71.756)
Epoch: [49][2800/5005] Time 0.207 (0.211) Data 0.041 (0.047) Loss 2.1233 (2.3617) Prec@1 52.734 (46.286) Prec@5 74.609 (71.758)
Epoch: [49][2810/5005] Time 0.212 (0.211) Data 0.041 (0.047) Loss 2.5046 (2.3617) Prec@1 43.750 (46.282) Prec@5 65.625 (71.758)
Epoch: [49][2820/5005] Time 0.215 (0.211) Data 0.042 (0.047) Loss 2.0633 (2.3616) Prec@1 51.172 (46.283) Prec@5 76.953 (71.762)
Epoch: [49][2830/5005] Time 0.199 (0.211) Data 0.053 (0.047) Loss 2.4988 (2.3617) Prec@1 43.750 (46.279) Prec@5 69.531 (71.764)
Epoch: [49][2840/5005] Time 0.210 (0.211) Data 0.042 (0.047) Loss 2.4860 (2.3616) Prec@1 41.797 (46.281) Prec@5 70.312 (71.765)
Epoch: [49][2850/5005] Time 0.214 (0.211) Data 0.048 (0.047) Loss 2.2872 (2.3616) Prec@1 48.828 (46.285) Prec@5 72.266 (71.765)
Epoch: [49][2860/5005] Time 0.201 (0.211) Data 0.039 (0.047) Loss 2.4196 (2.3617) Prec@1 46.875 (46.284) Prec@5 70.703 (71.762)
Epoch: [49][2870/5005] Time 0.212 (0.211) Data 0.043 (0.047) Loss 2.2194 (2.3614) Prec@1 47.656 (46.290) Prec@5 74.609 (71.769)
Epoch: [49][2880/5005] Time 0.200 (0.211) Data 0.049 (0.047) Loss 2.3327 (2.3613) Prec@1 47.266 (46.291) Prec@5 72.266 (71.768)
Epoch: [49][2890/5005] Time 0.200 (0.211) Data 0.053 (0.047) Loss 2.4028 (2.3612) Prec@1 41.406 (46.291) Prec@5 72.266 (71.772)
Epoch: [49][2900/5005] Time 0.212 (0.211) Data 0.047 (0.047) Loss 2.1857 (2.3611) Prec@1 53.125 (46.292) Prec@5 73.047 (71.775)
Epoch: [49][2910/5005] Time 0.202 (0.211) Data 0.046 (0.047) Loss 2.3447 (2.3611) Prec@1 47.656 (46.294) Prec@5 72.656 (71.775)
Epoch: [49][2920/5005] Time 0.202 (0.211) Data 0.055 (0.047) Loss 2.4951 (2.3611) Prec@1 41.016 (46.293) Prec@5 69.531 (71.777)
Epoch: [49][2930/5005] Time 0.214 (0.211) Data 0.042 (0.047) Loss 2.4445 (2.3611) Prec@1 44.141 (46.294) Prec@5 70.312 (71.779)
Epoch: [49][2940/5005] Time 0.211 (0.211) Data 0.043 (0.047) Loss 2.3631 (2.3609) Prec@1 46.094 (46.295) Prec@5 73.438 (71.785)
Epoch: [49][2950/5005] Time 0.206 (0.211) Data 0.040 (0.047) Loss 2.5654 (2.3608) Prec@1 40.234 (46.298) Prec@5 69.922 (71.787)
Epoch: [49][2960/5005] Time 0.209 (0.211) Data 0.043 (0.047) Loss 2.2795 (2.3607) Prec@1 47.266 (46.303) Prec@5 71.875 (71.787)
Epoch: [49][2970/5005] Time 0.210 (0.211) Data 0.043 (0.047) Loss 2.4725 (2.3605) Prec@1 37.109 (46.304) Prec@5 71.094 (71.790)
Epoch: [49][2980/5005] Time 0.209 (0.211) Data 0.039 (0.047) Loss 2.3601 (2.3604) Prec@1 49.219 (46.308) Prec@5 74.219 (71.793)
Epoch: [49][2990/5005] Time 0.183 (0.211) Data 0.057 (0.047) Loss 2.2594 (2.3604) Prec@1 45.312 (46.307) Prec@5 74.219 (71.792)
Epoch: [49][3000/5005] Time 0.213 (0.211) Data 0.044 (0.047) Loss 2.4044 (2.3602) Prec@1 42.188 (46.307) Prec@5 73.438 (71.796)
Epoch: [49][3010/5005] Time 0.211 (0.211) Data 0.049 (0.047) Loss 2.2163 (2.3603) Prec@1 48.438 (46.308) Prec@5 76.562 (71.796)
Epoch: [49][3020/5005] Time 0.204 (0.211) Data 0.045 (0.047) Loss 2.2714 (2.3604) Prec@1 45.703 (46.307) Prec@5 73.438 (71.793)
Epoch: [49][3030/5005] Time 0.212 (0.211) Data 0.042 (0.047) Loss 2.2602 (2.3603) Prec@1 49.609 (46.308) Prec@5 75.000 (71.793)
Epoch: [49][3040/5005] Time 0.203 (0.211) Data 0.042 (0.047) Loss 2.2506 (2.3603) Prec@1 46.094 (46.310) Prec@5 73.047 (71.791)
Epoch: [49][3050/5005] Time 0.205 (0.211) Data 0.056 (0.047) Loss 2.3415 (2.3604) Prec@1 43.750 (46.306) Prec@5 73.828 (71.790)
Epoch: [49][3060/5005] Time 0.196 (0.211) Data 0.054 (0.047) Loss 2.3284 (2.3602) Prec@1 49.609 (46.309) Prec@5 70.703 (71.794)
Epoch: [49][3070/5005] Time 0.213 (0.211) Data 0.050 (0.047) Loss 2.4392 (2.3603) Prec@1 42.969 (46.306) Prec@5 70.312 (71.793)
Epoch: [49][3080/5005] Time 0.214 (0.211) Data 0.042 (0.047) Loss 2.1829 (2.3603) Prec@1 51.562 (46.307) Prec@5 73.047 (71.793)
Epoch: [49][3090/5005] Time 0.211 (0.211) Data 0.066 (0.047) Loss 2.5190 (2.3602) Prec@1 41.016 (46.306) Prec@5 69.141 (71.793)
Epoch: [49][3100/5005] Time 0.204 (0.211) Data 0.047 (0.047) Loss 2.3388 (2.3603) Prec@1 41.797 (46.300) Prec@5 76.172 (71.793)
Epoch: [49][3110/5005] Time 0.212 (0.211) Data 0.042 (0.047) Loss 2.1270 (2.3599) Prec@1 48.438 (46.306) Prec@5 76.562 (71.800)
Epoch: [49][3120/5005] Time 0.200 (0.211) Data 0.057 (0.047) Loss 2.4631 (2.3599) Prec@1 44.141 (46.306) Prec@5 71.094 (71.798)
Epoch: [49][3130/5005] Time 0.214 (0.211) Data 0.042 (0.047) Loss 2.3790 (2.3597) Prec@1 43.750 (46.305) Prec@5 74.219 (71.800)
Epoch: [49][3140/5005] Time 0.209 (0.211) Data 0.045 (0.047) Loss 2.1397 (2.3596) Prec@1 51.172 (46.311) Prec@5 72.266 (71.802)
Epoch: [49][3150/5005] Time 0.204 (0.211) Data 0.052 (0.047) Loss 2.4178 (2.3595) Prec@1 46.484 (46.316) Prec@5 70.312 (71.804)
Epoch: [49][3160/5005] Time 0.200 (0.211) Data 0.059 (0.047) Loss 2.2745 (2.3596) Prec@1 47.656 (46.317) Prec@5 74.219 (71.804)
Epoch: [49][3170/5005] Time 0.213 (0.211) Data 0.042 (0.047) Loss 2.4782 (2.3596) Prec@1 44.531 (46.315) Prec@5 69.141 (71.798)
Epoch: [49][3180/5005] Time 0.210 (0.211) Data 0.043 (0.047) Loss 2.1818 (2.3596) Prec@1 49.219 (46.311) Prec@5 73.438 (71.793)
Epoch: [49][3190/5005] Time 0.208 (0.211) Data 0.044 (0.047) Loss 2.3578 (2.3596) Prec@1 42.969 (46.309) Prec@5 73.438 (71.792)
Epoch: [49][3200/5005] Time 0.210 (0.211) Data 0.044 (0.047) Loss 2.3889 (2.3595) Prec@1 44.531 (46.313) Prec@5 73.438 (71.796)
Epoch: [49][3210/5005] Time 0.214 (0.211) Data 0.043 (0.047) Loss 2.4226 (2.3595) Prec@1 43.750 (46.313) Prec@5 69.531 (71.797)
Epoch: [49][3220/5005] Time 0.209 (0.211) Data 0.057 (0.047) Loss 2.3808 (2.3595) Prec@1 46.484 (46.313) Prec@5 71.094 (71.796)
Epoch: [49][3230/5005] Time 0.200 (0.211) Data 0.044 (0.047) Loss 2.3776 (2.3594) Prec@1 47.266 (46.318) Prec@5 69.141 (71.795)
Epoch: [49][3240/5005] Time 0.203 (0.211) Data 0.043 (0.047) Loss 2.5695 (2.3598) Prec@1 40.234 (46.311) Prec@5 69.141 (71.789)
Epoch: [49][3250/5005] Time 0.210 (0.211) Data 0.040 (0.047) Loss 2.3788 (2.3598) Prec@1 44.922 (46.308) Prec@5 73.047 (71.789)
Epoch: [49][3260/5005] Time 0.200 (0.211) Data 0.045 (0.047) Loss 2.2479 (2.3599) Prec@1 48.047 (46.307) Prec@5 69.531 (71.785)
Epoch: [49][3270/5005] Time 0.226 (0.211) Data 0.042 (0.047) Loss 2.4118 (2.3597) Prec@1 44.922 (46.312) Prec@5 71.875 (71.788)
Epoch: [49][3280/5005] Time 0.207 (0.211) Data 0.040 (0.047) Loss 2.3277 (2.3597) Prec@1 49.609 (46.310) Prec@5 71.875 (71.787)
Epoch: [49][3290/5005] Time 0.215 (0.211) Data 0.046 (0.047) Loss 2.2901 (2.3596) Prec@1 49.219 (46.311) Prec@5 71.094 (71.787)
Epoch: [49][3300/5005] Time 0.209 (0.211) Data 0.047 (0.047) Loss 2.3438 (2.3596) Prec@1 47.656 (46.311) Prec@5 71.484 (71.786)
Epoch: [49][3310/5005] Time 0.208 (0.211) Data 0.044 (0.047) Loss 2.2184 (2.3596) Prec@1 50.391 (46.311) Prec@5 71.094 (71.784)
Epoch: [49][3320/5005] Time 0.212 (0.211) Data 0.047 (0.047) Loss 2.5054 (2.3597) Prec@1 44.141 (46.309) Prec@5 68.750 (71.782)
Epoch: [49][3330/5005] Time 0.202 (0.211) Data 0.044 (0.047) Loss 2.4666 (2.3598) Prec@1 45.312 (46.305) Prec@5 69.141 (71.778)
Epoch: [49][3340/5005] Time 0.210 (0.211) Data 0.044 (0.047) Loss 2.4861 (2.3598) Prec@1 45.703 (46.306) Prec@5 70.312 (71.780)
Epoch: [49][3350/5005] Time 0.210 (0.211) Data 0.042 (0.047) Loss 2.4966 (2.3597) Prec@1 44.141 (46.307) Prec@5 68.750 (71.780)
Epoch: [49][3360/5005] Time 0.216 (0.211) Data 0.054 (0.047) Loss 2.2871 (2.3598) Prec@1 48.047 (46.309) Prec@5 75.000 (71.780)
Epoch: [49][3370/5005] Time 0.207 (0.210) Data 0.041 (0.047) Loss 2.3763 (2.3599) Prec@1 44.531 (46.308) Prec@5 71.094 (71.779)
Epoch: [49][3380/5005] Time 0.201 (0.210) Data 0.043 (0.047) Loss 2.3002 (2.3598) Prec@1 49.609 (46.306) Prec@5 74.609 (71.780)
Epoch: [49][3390/5005] Time 0.211 (0.210) Data 0.042 (0.047) Loss 2.2813 (2.3599) Prec@1 48.438 (46.302) Prec@5 73.438 (71.779)
Epoch: [49][3400/5005] Time 0.205 (0.210) Data 0.044 (0.047) Loss 2.2698 (2.3601) Prec@1 46.094 (46.301) Prec@5 75.000 (71.777)
Epoch: [49][3410/5005] Time 0.215 (0.210) Data 0.041 (0.047) Loss 2.3815 (2.3601) Prec@1 45.312 (46.299) Prec@5 71.094 (71.777)
Epoch: [49][3420/5005] Time 0.213 (0.210) Data 0.042 (0.047) Loss 2.3088 (2.3600) Prec@1 43.750 (46.298) Prec@5 72.266 (71.781)
Epoch: [49][3430/5005] Time 0.210 (0.210) Data 0.059 (0.047) Loss 2.3332 (2.3600) Prec@1 46.094 (46.296) Prec@5 69.141 (71.781)
Epoch: [49][3440/5005] Time 0.215 (0.210) Data 0.056 (0.047) Loss 2.3361 (2.3599) Prec@1 46.094 (46.296) Prec@5 69.141 (71.781)
Epoch: [49][3450/5005] Time 0.210 (0.210) Data 0.051 (0.047) Loss 2.2453 (2.3598) Prec@1 44.922 (46.296) Prec@5 73.828 (71.782)
Epoch: [49][3460/5005] Time 0.196 (0.210) Data 0.047 (0.047) Loss 2.2618 (2.3598) Prec@1 46.875 (46.297) Prec@5 73.828 (71.782)
Epoch: [49][3470/5005] Time 0.203 (0.210) Data 0.052 (0.047) Loss 2.1071 (2.3597) Prec@1 49.609 (46.299) Prec@5 74.609 (71.785)
Epoch: [49][3480/5005] Time 0.211 (0.210) Data 0.041 (0.047) Loss 2.3589 (2.3595) Prec@1 48.438 (46.303) Prec@5 71.094 (71.789)
Epoch: [49][3490/5005] Time 0.211 (0.210) Data 0.042 (0.047) Loss 2.5050 (2.3596) Prec@1 43.750 (46.301) Prec@5 69.531 (71.787)
Epoch: [49][3500/5005] Time 0.202 (0.210) Data 0.047 (0.047) Loss 2.2114 (2.3597) Prec@1 50.781 (46.301) Prec@5 74.609 (71.786)
Epoch: [49][3510/5005] Time 0.203 (0.210) Data 0.046 (0.047) Loss 2.3711 (2.3596) Prec@1 49.609 (46.305) Prec@5 68.750 (71.787)
Epoch: [49][3520/5005] Time 0.207 (0.210) Data 0.042 (0.047) Loss 2.4821 (2.3596) Prec@1 46.094 (46.302) Prec@5 70.312 (71.786)
Epoch: [49][3530/5005] Time 0.204 (0.210) Data 0.044 (0.047) Loss 2.3867 (2.3596) Prec@1 47.656 (46.304) Prec@5 72.656 (71.789)
Epoch: [49][3540/5005] Time 0.215 (0.210) Data 0.043 (0.047) Loss 2.3847 (2.3594) Prec@1 45.703 (46.307) Prec@5 70.312 (71.791)
Epoch: [49][3550/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.4578 (2.3594) Prec@1 45.312 (46.310) Prec@5 69.922 (71.789)
Epoch: [49][3560/5005] Time 0.210 (0.210) Data 0.045 (0.047) Loss 2.5262 (2.3593) Prec@1 43.750 (46.311) Prec@5 70.312 (71.790)
Epoch: [49][3570/5005] Time 0.211 (0.210) Data 0.046 (0.047) Loss 2.4555 (2.3593) Prec@1 43.750 (46.309) Prec@5 69.922 (71.791)
Epoch: [49][3580/5005] Time 0.210 (0.210) Data 0.043 (0.047) Loss 2.3995 (2.3595) Prec@1 46.094 (46.306) Prec@5 71.094 (71.788)
Epoch: [49][3590/5005] Time 0.213 (0.210) Data 0.044 (0.047) Loss 2.3834 (2.3592) Prec@1 45.703 (46.312) Prec@5 71.094 (71.792)
Epoch: [49][3600/5005] Time 0.211 (0.210) Data 0.042 (0.047) Loss 2.4932 (2.3590) Prec@1 46.484 (46.312) Prec@5 68.750 (71.795)
Epoch: [49][3610/5005] Time 0.215 (0.210) Data 0.045 (0.047) Loss 2.3200 (2.3591) Prec@1 44.922 (46.311) Prec@5 73.047 (71.794)
Epoch: [49][3620/5005] Time 0.213 (0.210) Data 0.044 (0.047) Loss 2.4885 (2.3589) Prec@1 41.797 (46.316) Prec@5 69.141 (71.796)
Epoch: [49][3630/5005] Time 0.210 (0.210) Data 0.042 (0.047) Loss 2.5859 (2.3588) Prec@1 41.406 (46.316) Prec@5 68.359 (71.795)
Epoch: [49][3640/5005] Time 0.203 (0.210) Data 0.040 (0.047) Loss 2.4543 (2.3589) Prec@1 42.969 (46.314) Prec@5 70.703 (71.794)
Epoch: [49][3650/5005] Time 0.209 (0.210) Data 0.043 (0.047) Loss 2.1165 (2.3588) Prec@1 47.266 (46.316) Prec@5 77.344 (71.796)
Epoch: [49][3660/5005] Time 0.220 (0.210) Data 0.046 (0.047) Loss 2.3502 (2.3585) Prec@1 38.672 (46.315) Prec@5 71.484 (71.799)
Epoch: [49][3670/5005] Time 0.204 (0.210) Data 0.044 (0.047) Loss 2.5206 (2.3586) Prec@1 44.141 (46.314) Prec@5 67.969 (71.797)
Epoch: [49][3680/5005] Time 0.207 (0.210) Data 0.058 (0.047) Loss 2.3079 (2.3587) Prec@1 48.438 (46.314) Prec@5 72.266 (71.795)
Epoch: [49][3690/5005] Time 0.212 (0.210) Data 0.044 (0.047) Loss 2.1592 (2.3587) Prec@1 46.094 (46.312) Prec@5 76.172 (71.797)
Epoch: [49][3700/5005] Time 0.207 (0.210) Data 0.043 (0.047) Loss 2.4184 (2.3588) Prec@1 46.094 (46.309) Prec@5 69.141 (71.795)
Epoch: [49][3710/5005] Time 0.203 (0.210) Data 0.046 (0.047) Loss 2.2453 (2.3589) Prec@1 50.000 (46.309) Prec@5 73.828 (71.798)
Epoch: [49][3720/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.4020 (2.3588) Prec@1 44.141 (46.310) Prec@5 70.312 (71.800)
Epoch: [49][3730/5005] Time 0.211 (0.210) Data 0.045 (0.047) Loss 2.3373 (2.3587) Prec@1 45.312 (46.311) Prec@5 71.094 (71.799)
Epoch: [49][3740/5005] Time 0.219 (0.210) Data 0.042 (0.047) Loss 2.3303 (2.3584) Prec@1 51.172 (46.318) Prec@5 73.438 (71.805)
Epoch: [49][3750/5005] Time 0.222 (0.210) Data 0.042 (0.047) Loss 2.2752 (2.3585) Prec@1 48.047 (46.317) Prec@5 71.875 (71.803)
Epoch: [49][3760/5005] Time 0.207 (0.210) Data 0.062 (0.047) Loss 2.3130 (2.3586) Prec@1 50.000 (46.316) Prec@5 71.094 (71.800)
Epoch: [49][3770/5005] Time 0.212 (0.210) Data 0.062 (0.047) Loss 2.3572 (2.3585) Prec@1 48.828 (46.319) Prec@5 69.141 (71.800)
Epoch: [49][3780/5005] Time 0.200 (0.210) Data 0.055 (0.047) Loss 2.2757 (2.3584) Prec@1 44.531 (46.319) Prec@5 70.312 (71.802)
Epoch: [49][3790/5005] Time 0.205 (0.210) Data 0.051 (0.047) Loss 2.4570 (2.3584) Prec@1 45.703 (46.317) Prec@5 71.484 (71.803)
Epoch: [49][3800/5005] Time 0.206 (0.210) Data 0.061 (0.047) Loss 2.3566 (2.3586) Prec@1 43.750 (46.315) Prec@5 73.828 (71.801)
Epoch: [49][3810/5005] Time 0.215 (0.210) Data 0.047 (0.047) Loss 2.3506 (2.3587) Prec@1 47.266 (46.309) Prec@5 74.219 (71.801)
Epoch: [49][3820/5005] Time 0.208 (0.210) Data 0.048 (0.047) Loss 2.2970 (2.3586) Prec@1 45.703 (46.311) Prec@5 75.391 (71.804)
Epoch: [49][3830/5005] Time 0.220 (0.210) Data 0.046 (0.047) Loss 2.4533 (2.3585) Prec@1 41.016 (46.310) Prec@5 70.312 (71.805)
Epoch: [49][3840/5005] Time 0.209 (0.210) Data 0.042 (0.047) Loss 2.5054 (2.3586) Prec@1 43.750 (46.308) Prec@5 68.359 (71.802)
Epoch: [49][3850/5005] Time 0.209 (0.210) Data 0.042 (0.047) Loss 2.3849 (2.3585) Prec@1 48.438 (46.309) Prec@5 69.531 (71.805)
Epoch: [49][3860/5005] Time 0.205 (0.210) Data 0.039 (0.047) Loss 2.1383 (2.3585) Prec@1 51.953 (46.309) Prec@5 77.344 (71.806)
Epoch: [49][3870/5005] Time 0.200 (0.210) Data 0.042 (0.047) Loss 2.2844 (2.3586) Prec@1 47.656 (46.307) Prec@5 74.219 (71.805)
Epoch: [49][3880/5005] Time 0.213 (0.210) Data 0.041 (0.047) Loss 2.2447 (2.3586) Prec@1 48.438 (46.311) Prec@5 72.266 (71.806)
Epoch: [49][3890/5005] Time 0.200 (0.210) Data 0.043 (0.047) Loss 2.5927 (2.3585) Prec@1 42.578 (46.312) Prec@5 68.359 (71.805)
Epoch: [49][3900/5005] Time 0.208 (0.210) Data 0.044 (0.047) Loss 2.5866 (2.3587) Prec@1 41.016 (46.311) Prec@5 69.141 (71.805)
Epoch: [49][3910/5005] Time 0.214 (0.210) Data 0.048 (0.047) Loss 2.2684 (2.3586) Prec@1 48.047 (46.311) Prec@5 75.391 (71.805)
Epoch: [49][3920/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.2355 (2.3587) Prec@1 44.141 (46.309) Prec@5 72.656 (71.803)
Epoch: [49][3930/5005] Time 0.211 (0.210) Data 0.041 (0.047) Loss 2.3527 (2.3585) Prec@1 44.922 (46.308) Prec@5 70.703 (71.803)
Epoch: [49][3940/5005] Time 0.207 (0.210) Data 0.054 (0.047) Loss 2.3554 (2.3584) Prec@1 46.484 (46.311) Prec@5 71.484 (71.804)
Epoch: [49][3950/5005] Time 0.215 (0.210) Data 0.047 (0.047) Loss 2.2860 (2.3582) Prec@1 49.609 (46.318) Prec@5 75.391 (71.806)
Epoch: [49][3960/5005] Time 0.211 (0.210) Data 0.045 (0.047) Loss 2.2807 (2.3582) Prec@1 48.828 (46.318) Prec@5 73.828 (71.806)
Epoch: [49][3970/5005] Time 0.214 (0.210) Data 0.046 (0.047) Loss 2.2830 (2.3583) Prec@1 48.828 (46.316) Prec@5 74.219 (71.805)
Epoch: [49][3980/5005] Time 0.210 (0.210) Data 0.043 (0.047) Loss 2.2238 (2.3582) Prec@1 44.922 (46.316) Prec@5 73.828 (71.807)
Epoch: [49][3990/5005] Time 0.217 (0.210) Data 0.046 (0.047) Loss 2.4654 (2.3583) Prec@1 40.625 (46.312) Prec@5 69.141 (71.806)
Epoch: [49][4000/5005] Time 0.209 (0.210) Data 0.050 (0.047) Loss 2.2630 (2.3583) Prec@1 44.922 (46.309) Prec@5 73.438 (71.804)
Epoch: [49][4010/5005] Time 0.208 (0.210) Data 0.045 (0.047) Loss 2.4325 (2.3582) Prec@1 43.359 (46.311) Prec@5 73.828 (71.806)
Epoch: [49][4020/5005] Time 0.202 (0.210) Data 0.046 (0.047) Loss 2.6124 (2.3583) Prec@1 41.016 (46.311) Prec@5 64.062 (71.803)
Epoch: [49][4030/5005] Time 0.211 (0.210) Data 0.048 (0.047) Loss 2.4465 (2.3586) Prec@1 47.656 (46.306) Prec@5 71.484 (71.796)
Epoch: [49][4040/5005] Time 0.208 (0.210) Data 0.045 (0.047) Loss 2.3525 (2.3587) Prec@1 46.875 (46.306) Prec@5 69.531 (71.796)
Epoch: [49][4050/5005] Time 0.209 (0.210) Data 0.043 (0.047) Loss 2.7074 (2.3587) Prec@1 41.797 (46.304) Prec@5 64.844 (71.794)
Epoch: [49][4060/5005] Time 0.211 (0.210) Data 0.045 (0.047) Loss 2.2774 (2.3588) Prec@1 46.875 (46.302) Prec@5 71.875 (71.793)
Epoch: [49][4070/5005] Time 0.214 (0.210) Data 0.042 (0.047) Loss 2.6363 (2.3589) Prec@1 42.188 (46.298) Prec@5 69.922 (71.792)
Epoch: [49][4080/5005] Time 0.201 (0.210) Data 0.044 (0.047) Loss 2.2703 (2.3589) Prec@1 48.438 (46.297) Prec@5 77.734 (71.790)
Epoch: [49][4090/5005] Time 0.214 (0.210) Data 0.044 (0.047) Loss 2.3988 (2.3589) Prec@1 44.141 (46.296) Prec@5 72.266 (71.793)
Epoch: [49][4100/5005] Time 0.202 (0.210) Data 0.045 (0.047) Loss 2.3423 (2.3588) Prec@1 46.484 (46.299) Prec@5 73.438 (71.794)
Epoch: [49][4110/5005] Time 0.213 (0.210) Data 0.044 (0.047) Loss 2.4491 (2.3588) Prec@1 42.188 (46.296) Prec@5 71.875 (71.796)
Epoch: [49][4120/5005] Time 0.200 (0.210) Data 0.051 (0.047) Loss 2.4221 (2.3588) Prec@1 46.094 (46.296) Prec@5 69.141 (71.795)
Epoch: [49][4130/5005] Time 0.198 (0.210) Data 0.051 (0.047) Loss 2.6205 (2.3589) Prec@1 41.797 (46.295) Prec@5 65.234 (71.792)
Epoch: [49][4140/5005] Time 0.215 (0.210) Data 0.045 (0.047) Loss 2.4330 (2.3589) Prec@1 44.141 (46.296) Prec@5 67.578 (71.790)
Epoch: [49][4150/5005] Time 0.214 (0.210) Data 0.047 (0.047) Loss 2.6768 (2.3590) Prec@1 44.922 (46.296) Prec@5 67.578 (71.791)
Epoch: [49][4160/5005] Time 0.217 (0.210) Data 0.044 (0.047) Loss 2.2879 (2.3591) Prec@1 48.828 (46.294) Prec@5 72.266 (71.789)
Epoch: [49][4170/5005] Time 0.210 (0.210) Data 0.047 (0.047) Loss 2.3307 (2.3590) Prec@1 42.969 (46.295) Prec@5 71.484 (71.789)
Epoch: [49][4180/5005] Time 0.219 (0.210) Data 0.051 (0.047) Loss 2.2911 (2.3590) Prec@1 48.047 (46.294) Prec@5 73.828 (71.789)
Epoch: [49][4190/5005] Time 0.197 (0.210) Data 0.042 (0.047) Loss 2.1632 (2.3591) Prec@1 51.562 (46.292) Prec@5 75.391 (71.787)
Epoch: [49][4200/5005] Time 0.200 (0.210) Data 0.042 (0.047) Loss 2.1695 (2.3590) Prec@1 47.266 (46.293) Prec@5 74.219 (71.788)
Epoch: [49][4210/5005] Time 0.212 (0.210) Data 0.040 (0.047) Loss 2.1912 (2.3590) Prec@1 48.828 (46.293) Prec@5 76.172 (71.789)
Epoch: [49][4220/5005] Time 0.211 (0.210) Data 0.044 (0.047) Loss 2.5108 (2.3591) Prec@1 42.969 (46.291) Prec@5 67.578 (71.787)
Epoch: [49][4230/5005] Time 0.205 (0.210) Data 0.052 (0.047) Loss 2.4824 (2.3590) Prec@1 44.531 (46.291) Prec@5 67.188 (71.789)
Epoch: [49][4240/5005] Time 0.207 (0.210) Data 0.053 (0.047) Loss 2.3029 (2.3591) Prec@1 44.141 (46.288) Prec@5 75.000 (71.789)
Epoch: [49][4250/5005] Time 0.210 (0.210) Data 0.050 (0.047) Loss 2.3129 (2.3589) Prec@1 47.266 (46.290) Prec@5 73.438 (71.792)
Epoch: [49][4260/5005] Time 0.204 (0.210) Data 0.044 (0.047) Loss 2.2731 (2.3589) Prec@1 45.312 (46.291) Prec@5 71.484 (71.791)
Epoch: [49][4270/5005] Time 0.207 (0.210) Data 0.059 (0.047) Loss 2.5108 (2.3590) Prec@1 40.625 (46.289) Prec@5 70.312 (71.790)
Epoch: [49][4280/5005] Time 0.207 (0.210) Data 0.045 (0.047) Loss 2.4565 (2.3590) Prec@1 43.750 (46.289) Prec@5 70.312 (71.790)
Epoch: [49][4290/5005] Time 0.212 (0.210) Data 0.046 (0.047) Loss 2.5296 (2.3590) Prec@1 41.797 (46.288) Prec@5 68.750 (71.790)
Epoch: [49][4300/5005] Time 0.207 (0.210) Data 0.049 (0.047) Loss 2.2136 (2.3589) Prec@1 48.828 (46.291) Prec@5 75.391 (71.792)
Epoch: [49][4310/5005] Time 0.206 (0.210) Data 0.057 (0.047) Loss 2.2025 (2.3588) Prec@1 47.656 (46.292) Prec@5 77.344 (71.795)
Epoch: [49][4320/5005] Time 0.213 (0.210) Data 0.046 (0.047) Loss 2.3734 (2.3589) Prec@1 49.609 (46.291) Prec@5 70.703 (71.793)
Epoch: [49][4330/5005] Time 0.213 (0.210) Data 0.043 (0.047) Loss 2.2052 (2.3589) Prec@1 51.953 (46.291) Prec@5 72.266 (71.793)
Epoch: [49][4340/5005] Time 0.204 (0.210) Data 0.045 (0.047) Loss 2.2821 (2.3590) Prec@1 45.703 (46.289) Prec@5 73.047 (71.790)
Epoch: [49][4350/5005] Time 0.201 (0.210) Data 0.050 (0.047) Loss 2.4733 (2.3590) Prec@1 46.094 (46.293) Prec@5 71.484 (71.790)
Epoch: [49][4360/5005] Time 0.210 (0.210) Data 0.056 (0.047) Loss 2.2232 (2.3589) Prec@1 44.531 (46.292) Prec@5 74.609 (71.793)
Epoch: [49][4370/5005] Time 0.208 (0.210) Data 0.050 (0.047) Loss 2.2629 (2.3589) Prec@1 48.438 (46.294) Prec@5 73.047 (71.791)
Epoch: [49][4380/5005] Time 0.206 (0.210) Data 0.062 (0.047) Loss 2.5407 (2.3590) Prec@1 44.141 (46.293) Prec@5 69.922 (71.791)
Epoch: [49][4390/5005] Time 0.215 (0.210) Data 0.043 (0.047) Loss 2.4854 (2.3589) Prec@1 41.797 (46.294) Prec@5 68.359 (71.793)
Epoch: [49][4400/5005] Time 0.205 (0.210) Data 0.053 (0.047) Loss 2.2149 (2.3588) Prec@1 50.000 (46.296) Prec@5 73.438 (71.791)
Epoch: [49][4410/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.4838 (2.3588) Prec@1 41.406 (46.293) Prec@5 71.094 (71.791)
Epoch: [49][4420/5005] Time 0.206 (0.210) Data 0.046 (0.047) Loss 2.0018 (2.3586) Prec@1 53.125 (46.296) Prec@5 76.172 (71.794)
Epoch: [49][4430/5005] Time 0.216 (0.210) Data 0.046 (0.047) Loss 2.3756 (2.3584) Prec@1 46.094 (46.301) Prec@5 70.703 (71.797)
Epoch: [49][4440/5005] Time 0.205 (0.210) Data 0.044 (0.047) Loss 2.5741 (2.3584) Prec@1 40.625 (46.300) Prec@5 66.016 (71.797)
Epoch: [49][4450/5005] Time 0.210 (0.210) Data 0.064 (0.047) Loss 2.1305 (2.3584) Prec@1 47.656 (46.297) Prec@5 76.953 (71.797)
Epoch: [49][4460/5005] Time 0.205 (0.210) Data 0.053 (0.047) Loss 2.5139 (2.3583) Prec@1 46.094 (46.298) Prec@5 70.312 (71.795)
Epoch: [49][4470/5005] Time 0.207 (0.210) Data 0.049 (0.047) Loss 2.1737 (2.3584) Prec@1 48.047 (46.297) Prec@5 74.219 (71.794)
Epoch: [49][4480/5005] Time 0.194 (0.210) Data 0.053 (0.047) Loss 2.1510 (2.3585) Prec@1 50.391 (46.297) Prec@5 73.438 (71.795)
Epoch: [49][4490/5005] Time 0.202 (0.210) Data 0.044 (0.047) Loss 2.3465 (2.3585) Prec@1 44.922 (46.295) Prec@5 72.266 (71.794)
Epoch: [49][4500/5005] Time 0.202 (0.210) Data 0.047 (0.047) Loss 2.2907 (2.3585) Prec@1 47.656 (46.296) Prec@5 76.172 (71.796)
Epoch: [49][4510/5005] Time 0.201 (0.210) Data 0.043 (0.047) Loss 2.2990 (2.3586) Prec@1 43.750 (46.295) Prec@5 71.094 (71.794)
Epoch: [49][4520/5005] Time 0.213 (0.210) Data 0.045 (0.047) Loss 2.3123 (2.3585) Prec@1 49.609 (46.298) Prec@5 76.953 (71.798)
Epoch: [49][4530/5005] Time 0.215 (0.210) Data 0.045 (0.047) Loss 2.4828 (2.3584) Prec@1 41.797 (46.298) Prec@5 69.922 (71.797)
Epoch: [49][4540/5005] Time 0.213 (0.210) Data 0.045 (0.047) Loss 2.4327 (2.3586) Prec@1 48.047 (46.295) Prec@5 71.094 (71.795)
Epoch: [49][4550/5005] Time 0.213 (0.210) Data 0.043 (0.047) Loss 2.3659 (2.3586) Prec@1 46.484 (46.295) Prec@5 69.531 (71.794)
Epoch: [49][4560/5005] Time 0.212 (0.210) Data 0.042 (0.047) Loss 2.2787 (2.3587) Prec@1 50.391 (46.298) Prec@5 72.266 (71.795)
Epoch: [49][4570/5005] Time 0.198 (0.210) Data 0.054 (0.047) Loss 2.3989 (2.3586) Prec@1 46.875 (46.299) Prec@5 71.875 (71.796)
Epoch: [49][4580/5005] Time 0.203 (0.210) Data 0.053 (0.047) Loss 2.4054 (2.3586) Prec@1 44.141 (46.301) Prec@5 69.531 (71.794)
Epoch: [49][4590/5005] Time 0.214 (0.210) Data 0.040 (0.047) Loss 2.1811 (2.3587) Prec@1 48.438 (46.300) Prec@5 76.562 (71.793)
Epoch: [49][4600/5005] Time 0.198 (0.210) Data 0.046 (0.047) Loss 2.1628 (2.3587) Prec@1 53.516 (46.301) Prec@5 72.656 (71.792)
Epoch: [49][4610/5005] Time 0.208 (0.210) Data 0.046 (0.047) Loss 2.2456 (2.3587) Prec@1 46.484 (46.302) Prec@5 71.094 (71.790)
Epoch: [49][4620/5005] Time 0.208 (0.210) Data 0.052 (0.047) Loss 2.1677 (2.3586) Prec@1 53.516 (46.304) Prec@5 73.047 (71.790)
Epoch: [49][4630/5005] Time 0.212 (0.210) Data 0.046 (0.047) Loss 2.2698 (2.3585) Prec@1 47.266 (46.305) Prec@5 75.000 (71.796)
Epoch: [49][4640/5005] Time 0.206 (0.210) Data 0.049 (0.047) Loss 2.4424 (2.3585) Prec@1 46.484 (46.305) Prec@5 71.875 (71.796)
Epoch: [49][4650/5005] Time 0.204 (0.210) Data 0.043 (0.047) Loss 2.4352 (2.3585) Prec@1 44.141 (46.305) Prec@5 69.531 (71.797)
Epoch: [49][4660/5005] Time 0.211 (0.210) Data 0.042 (0.047) Loss 2.7190 (2.3585) Prec@1 43.359 (46.306) Prec@5 64.062 (71.798)
Epoch: [49][4670/5005] Time 0.211 (0.210) Data 0.046 (0.047) Loss 2.2682 (2.3585) Prec@1 50.000 (46.307) Prec@5 71.484 (71.799)
Epoch: [49][4680/5005] Time 0.211 (0.210) Data 0.044 (0.047) Loss 2.2146 (2.3585) Prec@1 48.047 (46.306) Prec@5 76.172 (71.799)
Epoch: [49][4690/5005] Time 0.213 (0.210) Data 0.041 (0.047) Loss 2.4023 (2.3586) Prec@1 44.141 (46.303) Prec@5 71.484 (71.799)
Epoch: [49][4700/5005] Time 0.211 (0.210) Data 0.041 (0.047) Loss 2.0837 (2.3585) Prec@1 50.391 (46.305) Prec@5 75.781 (71.799)
Epoch: [49][4710/5005] Time 0.216 (0.210) Data 0.047 (0.047) Loss 2.1675 (2.3583) Prec@1 48.047 (46.309) Prec@5 75.781 (71.801)
Epoch: [49][4720/5005] Time 0.201 (0.210) Data 0.050 (0.047) Loss 2.1809 (2.3583) Prec@1 55.078 (46.311) Prec@5 76.172 (71.804)
Epoch: [49][4730/5005] Time 0.202 (0.210) Data 0.060 (0.047) Loss 2.3906 (2.3585) Prec@1 49.609 (46.309) Prec@5 73.438 (71.802)
Epoch: [49][4740/5005] Time 0.210 (0.210) Data 0.046 (0.047) Loss 2.3715 (2.3584) Prec@1 46.094 (46.313) Prec@5 71.484 (71.802)
Epoch: [49][4750/5005] Time 0.209 (0.210) Data 0.052 (0.047) Loss 2.3042 (2.3584) Prec@1 48.828 (46.314) Prec@5 71.094 (71.803)
Epoch: [49][4760/5005] Time 0.201 (0.210) Data 0.046 (0.047) Loss 2.5260 (2.3583) Prec@1 41.797 (46.315) Prec@5 71.094 (71.804)
Epoch: [49][4770/5005] Time 0.208 (0.210) Data 0.042 (0.047) Loss 2.2955 (2.3583) Prec@1 51.953 (46.316) Prec@5 71.875 (71.804)
Epoch: [49][4780/5005] Time 0.211 (0.210) Data 0.043 (0.047) Loss 2.5253 (2.3584) Prec@1 44.531 (46.315) Prec@5 67.578 (71.803)
Epoch: [49][4790/5005] Time 0.204 (0.210) Data 0.041 (0.047) Loss 2.6440 (2.3585) Prec@1 42.969 (46.316) Prec@5 65.625 (71.801)
Epoch: [49][4800/5005] Time 0.209 (0.210) Data 0.045 (0.047) Loss 2.5095 (2.3585) Prec@1 40.625 (46.314) Prec@5 69.922 (71.801)
Epoch: [49][4810/5005] Time 0.203 (0.210) Data 0.045 (0.047) Loss 2.5658 (2.3583) Prec@1 39.844 (46.315) Prec@5 69.531 (71.803)
Epoch: [49][4820/5005] Time 0.197 (0.210) Data 0.047 (0.047) Loss 2.4867 (2.3583) Prec@1 44.922 (46.316) Prec@5 67.578 (71.804)
Epoch: [49][4830/5005] Time 0.203 (0.210) Data 0.045 (0.047) Loss 2.3593 (2.3581) Prec@1 46.875 (46.321) Prec@5 72.656 (71.807)
Epoch: [49][4840/5005] Time 0.205 (0.210) Data 0.042 (0.047) Loss 2.1517 (2.3581) Prec@1 48.828 (46.318) Prec@5 76.172 (71.808)
Epoch: [49][4850/5005] Time 0.207 (0.210) Data 0.048 (0.047) Loss 2.3948 (2.3582) Prec@1 48.047 (46.318) Prec@5 70.703 (71.807)
Epoch: [49][4860/5005] Time 0.206 (0.210) Data 0.042 (0.047) Loss 2.4164 (2.3581) Prec@1 44.531 (46.318) Prec@5 72.266 (71.808)
Epoch: [49][4870/5005] Time 0.208 (0.210) Data 0.046 (0.047) Loss 2.3201 (2.3581) Prec@1 44.922 (46.318) Prec@5 70.703 (71.807)
Epoch: [49][4880/5005] Time 0.200 (0.210) Data 0.045 (0.047) Loss 2.2176 (2.3580) Prec@1 50.000 (46.320) Prec@5 72.266 (71.810)
Epoch: [49][4890/5005] Time 0.206 (0.210) Data 0.045 (0.047) Loss 2.3083 (2.3579) Prec@1 44.531 (46.320) Prec@5 71.484 (71.811)
Epoch: [49][4900/5005] Time 0.213 (0.210) Data 0.063 (0.047) Loss 2.1949 (2.3578) Prec@1 53.125 (46.323) Prec@5 71.875 (71.812)
Epoch: [49][4910/5005] Time 0.200 (0.210) Data 0.043 (0.047) Loss 2.3429 (2.3576) Prec@1 47.266 (46.326) Prec@5 71.875 (71.814)
Epoch: [49][4920/5005] Time 0.200 (0.210) Data 0.042 (0.047) Loss 2.2834 (2.3576) Prec@1 47.266 (46.326) Prec@5 72.656 (71.815)
Epoch: [49][4930/5005] Time 0.208 (0.210) Data 0.052 (0.047) Loss 2.4301 (2.3575) Prec@1 42.578 (46.324) Prec@5 68.359 (71.817)
Epoch: [49][4940/5005] Time 0.211 (0.210) Data 0.041 (0.047) Loss 2.2844 (2.3575) Prec@1 45.703 (46.323) Prec@5 74.219 (71.817)
Epoch: [49][4950/5005] Time 0.212 (0.210) Data 0.042 (0.047) Loss 2.0653 (2.3575) Prec@1 51.562 (46.322) Prec@5 76.172 (71.818)
Epoch: [49][4960/5005] Time 0.201 (0.210) Data 0.042 (0.047) Loss 2.5113 (2.3575) Prec@1 44.141 (46.324) Prec@5 72.656 (71.820)
Epoch: [49][4970/5005] Time 0.202 (0.210) Data 0.046 (0.047) Loss 2.4987 (2.3574) Prec@1 44.141 (46.324) Prec@5 71.484 (71.822)
Epoch: [49][4980/5005] Time 0.209 (0.210) Data 0.050 (0.047) Loss 2.4075 (2.3574) Prec@1 45.312 (46.324) Prec@5 71.484 (71.823)
Epoch: [49][4990/5005] Time 0.205 (0.210) Data 0.026 (0.047) Loss 2.4798 (2.3574) Prec@1 42.188 (46.327) Prec@5 68.359 (71.825)
Epoch: [49][5000/5005] Time 0.205 (0.210) Data 0.025 (0.047) Loss 2.2936 (2.3573) Prec@1 44.922 (46.328) Prec@5 74.609 (71.825)
Test: [0/196] Time 1.869 (1.869) Loss 2.4510 (2.4510) Prec@1 47.266 (47.266) Prec@5 71.094 (71.094)
Test: [10/196] Time 0.049 (0.287) Loss 2.5559 (2.5937) Prec@1 46.875 (43.004) Prec@5 66.797 (68.430)
Test: [20/196] Time 0.042 (0.225) Loss 2.4591 (2.6033) Prec@1 45.703 (42.894) Prec@5 71.875 (68.080)
Test: [30/196] Time 0.754 (0.227) Loss 2.4440 (2.6069) Prec@1 42.578 (42.591) Prec@5 69.531 (67.969)
Test: [40/196] Time 0.046 (0.210) Loss 2.3902 (2.6028) Prec@1 46.094 (42.731) Prec@5 73.828 (68.159)
Test: [50/196] Time 0.042 (0.196) Loss 2.6415 (2.6022) Prec@1 45.312 (42.854) Prec@5 71.875 (68.398)
Test: [60/196] Time 0.116 (0.198) Loss 2.5152 (2.5891) Prec@1 44.531 (42.937) Prec@5 71.094 (68.494)
Test: [70/196] Time 0.042 (0.193) Loss 2.5016 (2.5811) Prec@1 45.703 (43.073) Prec@5 69.531 (68.541)
Test: [80/196] Time 0.046 (0.190) Loss 2.4274 (2.5860) Prec@1 48.438 (43.152) Prec@5 74.609 (68.470)
Test: [90/196] Time 0.043 (0.186) Loss 2.6481 (2.5886) Prec@1 47.266 (43.209) Prec@5 68.359 (68.484)
Test: [100/196] Time 0.298 (0.186) Loss 2.6094 (2.5869) Prec@1 46.484 (43.437) Prec@5 67.969 (68.491)
Test: [110/196] Time 0.122 (0.186) Loss 2.8303 (2.5887) Prec@1 38.672 (43.458) Prec@5 64.453 (68.500)
Test: [120/196] Time 0.042 (0.183) Loss 2.4018 (2.5861) Prec@1 45.703 (43.482) Prec@5 71.484 (68.505)
Test: [130/196] Time 0.043 (0.182) Loss 2.2934 (2.5831) Prec@1 47.656 (43.529) Prec@5 72.266 (68.571)
Test: [140/196] Time 0.549 (0.187) Loss 2.3847 (2.5833) Prec@1 47.656 (43.551) Prec@5 70.703 (68.564)
Test: [150/196] Time 0.189 (0.183) Loss 2.1897 (2.5800) Prec@1 50.781 (43.649) Prec@5 78.125 (68.654)
Test: [160/196] Time 0.092 (0.181) Loss 2.5466 (2.5794) Prec@1 47.266 (43.631) Prec@5 66.016 (68.648)
Test: [170/196] Time 0.043 (0.181) Loss 2.4390 (2.5804) Prec@1 46.875 (43.645) Prec@5 73.438 (68.631)
Test: [180/196] Time 0.043 (0.180) Loss 2.8116 (2.5853) Prec@1 40.234 (43.545) Prec@5 64.844 (68.480)
Test: [190/196] Time 0.049 (0.181) Loss 2.8037 (2.5883) Prec@1 40.625 (43.470) Prec@5 64.453 (68.441)
* Prec@1 43.468 Prec@5 68.448
Learning rate: 1e-05
Epoch: [50][0/5005] Time 1.073 (1.073) Data 0.971 (0.971) Loss 2.2770 (2.2770) Prec@1 44.922 (44.922) Prec@5 75.000 (75.000)
Epoch: [50][10/5005] Time 0.200 (0.284) Data 0.042 (0.133) Loss 2.2635 (2.3475) Prec@1 49.609 (45.632) Prec@5 70.703 (72.621)
Epoch: [50][20/5005] Time 0.207 (0.246) Data 0.042 (0.091) Loss 2.5561 (2.3620) Prec@1 42.188 (45.778) Prec@5 70.312 (72.340)
Epoch: [50][30/5005] Time 0.209 (0.233) Data 0.042 (0.076) Loss 2.2583 (2.3291) Prec@1 46.484 (46.510) Prec@5 74.219 (72.467)
Epoch: [50][40/5005] Time 0.207 (0.226) Data 0.043 (0.069) Loss 2.3034 (2.3444) Prec@1 45.312 (46.056) Prec@5 75.391 (72.275)
Epoch: [50][50/5005] Time 0.206 (0.222) Data 0.041 (0.064) Loss 2.2651 (2.3376) Prec@1 44.531 (46.170) Prec@5 73.438 (72.319)
Epoch: [50][60/5005] Time 0.208 (0.219) Data 0.048 (0.061) Loss 2.2784 (2.3364) Prec@1 44.141 (46.196) Prec@5 73.047 (72.259)
Epoch: [50][70/5005] Time 0.209 (0.217) Data 0.044 (0.060) Loss 2.2983 (2.3429) Prec@1 44.922 (46.099) Prec@5 70.312 (72.156)
Epoch: [50][80/5005] Time 0.201 (0.215) Data 0.046 (0.058) Loss 2.2530 (2.3401) Prec@1 48.047 (46.166) Prec@5 74.609 (72.246)
Epoch: [50][90/5005] Time 0.201 (0.214) Data 0.046 (0.057) Loss 2.3348 (2.3398) Prec@1 48.828 (46.257) Prec@5 72.266 (72.266)
Epoch: [50][100/5005] Time 0.210 (0.213) Data 0.042 (0.056) Loss 2.1375 (2.3410) Prec@1 50.391 (46.337) Prec@5 76.562 (72.246)
Epoch: [50][110/5005] Time 0.197 (0.212) Data 0.050 (0.055) Loss 2.4466 (2.3434) Prec@1 47.266 (46.505) Prec@5 69.141 (72.181)
Epoch: [50][120/5005] Time 0.204 (0.211) Data 0.045 (0.054) Loss 2.4127 (2.3484) Prec@1 42.188 (46.452) Prec@5 71.484 (72.091)
Epoch: [50][130/5005] Time 0.201 (0.211) Data 0.051 (0.054) Loss 2.3513 (2.3499) Prec@1 48.828 (46.517) Prec@5 69.531 (72.009)
Epoch: [50][140/5005] Time 0.205 (0.210) Data 0.042 (0.053) Loss 2.3197 (2.3451) Prec@1 48.047 (46.559) Prec@5 71.094 (72.077)
Epoch: [50][150/5005] Time 0.197 (0.209) Data 0.050 (0.053) Loss 2.4705 (2.3475) Prec@1 46.094 (46.578) Prec@5 67.578 (72.048)
Epoch: [50][160/5005] Time 0.210 (0.209) Data 0.048 (0.053) Loss 2.2310 (2.3482) Prec@1 49.219 (46.628) Prec@5 73.828 (72.076)
Epoch: [50][170/5005] Time 0.213 (0.209) Data 0.051 (0.053) Loss 2.4521 (2.3496) Prec@1 46.094 (46.610) Prec@5 70.312 (72.062)
Epoch: [50][180/5005] Time 0.220 (0.210) Data 0.048 (0.053) Loss 2.6465 (2.3514) Prec@1 44.922 (46.646) Prec@5 63.672 (72.039)
Epoch: [50][190/5005] Time 0.213 (0.210) Data 0.046 (0.052) Loss 2.5017 (2.3553) Prec@1 40.625 (46.499) Prec@5 70.312 (71.936)
Epoch: [50][200/5005] Time 0.210 (0.210) Data 0.050 (0.052) Loss 2.5500 (2.3555) Prec@1 42.188 (46.457) Prec@5 70.312 (71.999)
Epoch: [50][210/5005] Time 0.218 (0.211) Data 0.047 (0.052) Loss 2.1690 (2.3553) Prec@1 50.391 (46.495) Prec@5 74.609 (71.988)
Epoch: [50][220/5005] Time 0.220 (0.211) Data 0.043 (0.052) Loss 2.3992 (2.3543) Prec@1 44.531 (46.513) Prec@5 70.312 (71.976)
Epoch: [50][230/5005] Time 0.209 (0.211) Data 0.066 (0.052) Loss 2.4408 (2.3549) Prec@1 46.094 (46.542) Prec@5 70.703 (71.960)
Epoch: [50][240/5005] Time 0.225 (0.212) Data 0.055 (0.052) Loss 2.2651 (2.3535) Prec@1 48.438 (46.509) Prec@5 73.828 (71.950)
Epoch: [50][250/5005] Time 0.213 (0.212) Data 0.051 (0.052) Loss 2.3701 (2.3512) Prec@1 47.656 (46.578) Prec@5 72.656 (71.964)
Epoch: [50][260/5005] Time 0.216 (0.212) Data 0.058 (0.052) Loss 2.1452 (2.3502) Prec@1 47.266 (46.577) Prec@5 75.000 (72.005)
Epoch: [50][270/5005] Time 0.218 (0.212) Data 0.059 (0.052) Loss 2.4005 (2.3505) Prec@1 42.578 (46.539) Prec@5 75.781 (72.029)
Epoch: [50][280/5005] Time 0.203 (0.212) Data 0.048 (0.052) Loss 2.6224 (2.3531) Prec@1 40.234 (46.498) Prec@5 67.969 (71.988)
Epoch: [50][290/5005] Time 0.213 (0.212) Data 0.050 (0.052) Loss 2.1685 (2.3534) Prec@1 53.516 (46.474) Prec@5 75.391 (71.968)
Epoch: [50][300/5005] Time 0.215 (0.212) Data 0.044 (0.052) Loss 2.2884 (2.3527) Prec@1 45.703 (46.508) Prec@5 74.219 (71.962)
Epoch: [50][310/5005] Time 0.219 (0.212) Data 0.047 (0.051) Loss 2.1638 (2.3506) Prec@1 49.609 (46.532) Prec@5 75.000 (71.996)
Epoch: [50][320/5005] Time 0.202 (0.212) Data 0.049 (0.051) Loss 2.4898 (2.3510) Prec@1 44.531 (46.554) Prec@5 71.484 (71.987)
Epoch: [50][330/5005] Time 0.211 (0.212) Data 0.054 (0.051) Loss 2.0291 (2.3506) Prec@1 50.391 (46.558) Prec@5 77.344 (71.989)
Epoch: [50][340/5005] Time 0.209 (0.212) Data 0.047 (0.051) Loss 2.5154 (2.3553) Prec@1 45.703 (46.476) Prec@5 69.531 (71.915)
Epoch: [50][350/5005] Time 0.213 (0.212) Data 0.065 (0.051) Loss 2.5488 (2.3546) Prec@1 44.141 (46.473) Prec@5 65.625 (71.915)
Epoch: [50][360/5005] Time 0.214 (0.212) Data 0.041 (0.051) Loss 2.4861 (2.3555) Prec@1 44.141 (46.462) Prec@5 69.531 (71.888)
Epoch: [50][370/5005] Time 0.213 (0.212) Data 0.041 (0.051) Loss 2.4207 (2.3542) Prec@1 46.094 (46.456) Prec@5 72.656 (71.895)
Epoch: [50][380/5005] Time 0.218 (0.212) Data 0.043 (0.051) Loss 2.5358 (2.3555) Prec@1 47.266 (46.442) Prec@5 69.922 (71.863)
Epoch: [50][390/5005] Time 0.209 (0.212) Data 0.046 (0.051) Loss 2.3378 (2.3559) Prec@1 46.094 (46.451) Prec@5 71.875 (71.852)
Epoch: [50][400/5005] Time 0.216 (0.212) Data 0.043 (0.051) Loss 2.2325 (2.3541) Prec@1 46.484 (46.487) Prec@5 75.781 (71.895)
Epoch: [50][410/5005] Time 0.223 (0.212) Data 0.044 (0.050) Loss 2.1881 (2.3530) Prec@1 49.219 (46.501) Prec@5 75.781 (71.915)
Epoch: [50][420/5005] Time 0.216 (0.212) Data 0.043 (0.050) Loss 2.4432 (2.3521) Prec@1 45.703 (46.522) Prec@5 71.875 (71.939)
Epoch: [50][430/5005] Time 0.213 (0.212) Data 0.051 (0.050) Loss 2.2643 (2.3524) Prec@1 47.266 (46.509) Prec@5 69.922 (71.926)
Epoch: [50][440/5005] Time 0.215 (0.212) Data 0.052 (0.050) Loss 2.2675 (2.3517) Prec@1 52.734 (46.522) Prec@5 73.828 (71.941)
Epoch: [50][450/5005] Time 0.207 (0.212) Data 0.047 (0.050) Loss 2.3055 (2.3517) Prec@1 45.312 (46.506) Prec@5 73.047 (71.933)
Epoch: [50][460/5005] Time 0.210 (0.212) Data 0.049 (0.050) Loss 2.3293 (2.3522) Prec@1 46.875 (46.513) Prec@5 72.656 (71.917)
Epoch: [50][470/5005] Time 0.205 (0.212) Data 0.041 (0.050) Loss 2.3027 (2.3534) Prec@1 45.312 (46.513) Prec@5 74.219 (71.890)
Epoch: [50][480/5005] Time 0.213 (0.212) Data 0.042 (0.050) Loss 2.3879 (2.3530) Prec@1 44.922 (46.528) Prec@5 69.531 (71.894)
Epoch: [50][490/5005] Time 0.213 (0.212) Data 0.043 (0.050) Loss 2.1955 (2.3525) Prec@1 51.953 (46.519) Prec@5 75.391 (71.912)
Epoch: [50][500/5005] Time 0.223 (0.212) Data 0.044 (0.050) Loss 2.4867 (2.3537) Prec@1 46.094 (46.507) Prec@5 67.578 (71.882)
Epoch: [50][510/5005] Time 0.212 (0.212) Data 0.042 (0.049) Loss 2.5535 (2.3541) Prec@1 43.359 (46.520) Prec@5 69.141 (71.875)
Epoch: [50][520/5005] Time 0.214 (0.212) Data 0.043 (0.049) Loss 2.3471 (2.3542) Prec@1 44.922 (46.512) Prec@5 72.266 (71.886)
Epoch: [50][530/5005] Time 0.215 (0.212) Data 0.043 (0.049) Loss 2.2301 (2.3538) Prec@1 48.828 (46.530) Prec@5 75.000 (71.879)
Epoch: [50][540/5005] Time 0.212 (0.212) Data 0.042 (0.049) Loss 2.5078 (2.3542) Prec@1 44.922 (46.523) Prec@5 67.969 (71.874)
Epoch: [50][550/5005] Time 0.218 (0.212) Data 0.042 (0.049) Loss 2.3593 (2.3537) Prec@1 41.406 (46.518) Prec@5 73.438 (71.878)
Epoch: [50][560/5005] Time 0.208 (0.212) Data 0.046 (0.049) Loss 2.4576 (2.3536) Prec@1 45.312 (46.519) Prec@5 70.312 (71.889)
Epoch: [50][570/5005] Time 0.211 (0.212) Data 0.042 (0.049) Loss 2.3417 (2.3542) Prec@1 48.828 (46.493) Prec@5 69.141 (71.870)
Epoch: [50][580/5005] Time 0.215 (0.212) Data 0.043 (0.049) Loss 2.2432 (2.3529) Prec@1 50.781 (46.518) Prec@5 72.266 (71.890)
Epoch: [50][590/5005] Time 0.215 (0.212) Data 0.043 (0.049) Loss 2.4664 (2.3531) Prec@1 42.969 (46.509) Prec@5 68.750 (71.882)
Epoch: [50][600/5005] Time 0.218 (0.212) Data 0.049 (0.049) Loss 2.2879 (2.3535) Prec@1 50.391 (46.511) Prec@5 72.656 (71.881)
Epoch: [50][610/5005] Time 0.219 (0.212) Data 0.043 (0.049) Loss 2.4009 (2.3530) Prec@1 44.531 (46.507) Prec@5 70.312 (71.901)
Epoch: [50][620/5005] Time 0.212 (0.212) Data 0.044 (0.049) Loss 2.2693 (2.3524) Prec@1 51.562 (46.545) Prec@5 72.656 (71.918)
Epoch: [50][630/5005] Time 0.214 (0.212) Data 0.043 (0.049) Loss 2.4783 (2.3521) Prec@1 42.969 (46.536) Prec@5 69.922 (71.918)
Epoch: [50][640/5005] Time 0.198 (0.212) Data 0.047 (0.049) Loss 2.2427 (2.3516) Prec@1 48.047 (46.550) Prec@5 73.047 (71.927)
Epoch: [50][650/5005] Time 0.214 (0.212) Data 0.043 (0.049) Loss 2.4161 (2.3523) Prec@1 42.578 (46.534) Prec@5 66.016 (71.924)
Epoch: [50][660/5005] Time 0.209 (0.212) Data 0.042 (0.049) Loss 2.4493 (2.3514) Prec@1 42.969 (46.550) Prec@5 72.656 (71.942)
Epoch: [50][670/5005] Time 0.213 (0.212) Data 0.044 (0.048) Loss 2.6105 (2.3517) Prec@1 43.750 (46.550) Prec@5 69.922 (71.936)
Epoch: [50][680/5005] Time 0.214 (0.212) Data 0.045 (0.048) Loss 2.2033 (2.3513) Prec@1 47.656 (46.548) Prec@5 74.609 (71.932)
Epoch: [50][690/5005] Time 0.208 (0.212) Data 0.059 (0.048) Loss 2.0838 (2.3500) Prec@1 50.781 (46.575) Prec@5 79.297 (71.965)
Epoch: [50][700/5005] Time 0.217 (0.212) Data 0.044 (0.048) Loss 2.2768 (2.3494) Prec@1 47.656 (46.573) Prec@5 70.703 (71.970)
Epoch: [50][710/5005] Time 0.195 (0.212) Data 0.053 (0.048) Loss 2.2125 (2.3488) Prec@1 47.656 (46.590) Prec@5 75.391 (71.978)
Epoch: [50][720/5005] Time 0.211 (0.212) Data 0.043 (0.048) Loss 2.2389 (2.3481) Prec@1 48.047 (46.605) Prec@5 73.438 (71.989)
Epoch: [50][730/5005] Time 0.212 (0.212) Data 0.046 (0.048) Loss 2.6053 (2.3488) Prec@1 45.312 (46.606) Prec@5 68.750 (71.977)
Epoch: [50][740/5005] Time 0.203 (0.212) Data 0.050 (0.048) Loss 2.5726 (2.3493) Prec@1 44.531 (46.591) Prec@5 64.062 (71.942)
Epoch: [50][750/5005] Time 0.214 (0.212) Data 0.044 (0.048) Loss 2.1379 (2.3488) Prec@1 50.391 (46.609) Prec@5 75.391 (71.949)
Epoch: [50][760/5005] Time 0.218 (0.212) Data 0.044 (0.048) Loss 2.3713 (2.3491) Prec@1 46.484 (46.606) Prec@5 71.484 (71.944)
Epoch: [50][770/5005] Time 0.214 (0.212) Data 0.045 (0.048) Loss 2.3931 (2.3476) Prec@1 45.312 (46.640) Prec@5 68.359 (71.965)
Epoch: [50][780/5005] Time 0.217 (0.212) Data 0.044 (0.048) Loss 2.3543 (2.3472) Prec@1 50.000 (46.654) Prec@5 71.094 (71.958)
Epoch: [50][790/5005] Time 0.203 (0.212) Data 0.059 (0.048) Loss 2.2736 (2.3474) Prec@1 44.922 (46.654) Prec@5 74.219 (71.953)
Epoch: [50][800/5005] Time 0.210 (0.212) Data 0.043 (0.048) Loss 2.3270 (2.3466) Prec@1 45.703 (46.662) Prec@5 75.000 (71.957)
Epoch: [50][810/5005] Time 0.213 (0.212) Data 0.044 (0.048) Loss 2.4930 (2.3466) Prec@1 45.312 (46.661) Prec@5 69.141 (71.966)
Epoch: [50][820/5005] Time 0.207 (0.212) Data 0.051 (0.048) Loss 2.4706 (2.3463) Prec@1 44.922 (46.658) Prec@5 67.578 (71.976)
Epoch: [50][830/5005] Time 0.219 (0.212) Data 0.042 (0.048) Loss 2.2254 (2.3463) Prec@1 49.609 (46.666) Prec@5 74.219 (71.972)
Epoch: [50][840/5005] Time 0.215 (0.212) Data 0.044 (0.048) Loss 2.3059 (2.3463) Prec@1 51.172 (46.684) Prec@5 69.141 (71.966)
Epoch: [50][850/5005] Time 0.216 (0.212) Data 0.041 (0.048) Loss 2.5542 (2.3461) Prec@1 41.406 (46.688) Prec@5 71.484 (71.978)
Epoch: [50][860/5005] Time 0.206 (0.212) Data 0.049 (0.048) Loss 2.3706 (2.3469) Prec@1 44.922 (46.673) Prec@5 69.531 (71.965)
Epoch: [50][870/5005] Time 0.214 (0.212) Data 0.050 (0.048) Loss 2.2916 (2.3458) Prec@1 48.047 (46.702) Prec@5 74.219 (71.984)
Epoch: [50][880/5005] Time 0.218 (0.212) Data 0.048 (0.048) Loss 2.2151 (2.3458) Prec@1 47.266 (46.705) Prec@5 74.219 (71.986)
Epoch: [50][890/5005] Time 0.204 (0.212) Data 0.041 (0.048) Loss 2.6015 (2.3455) Prec@1 39.062 (46.694) Prec@5 68.750 (71.987)
Epoch: [50][900/5005] Time 0.217 (0.212) Data 0.044 (0.048) Loss 2.2446 (2.3453) Prec@1 42.969 (46.688) Prec@5 73.828 (72.007)
Epoch: [50][910/5005] Time 0.210 (0.212) Data 0.068 (0.048) Loss 2.3086 (2.3452) Prec@1 48.438 (46.682) Prec@5 73.047 (72.010)
Epoch: [50][920/5005] Time 0.206 (0.212) Data 0.052 (0.048) Loss 2.4267 (2.3443) Prec@1 48.047 (46.713) Prec@5 71.875 (72.026)
Epoch: [50][930/5005] Time 0.211 (0.212) Data 0.060 (0.048) Loss 2.2567 (2.3435) Prec@1 48.438 (46.731) Prec@5 71.484 (72.040)
Epoch: [50][940/5005] Time 0.210 (0.212) Data 0.042 (0.048) Loss 2.1989 (2.3437) Prec@1 44.531 (46.724) Prec@5 75.391 (72.038)
Epoch: [50][950/5005] Time 0.212 (0.212) Data 0.059 (0.048) Loss 2.3537 (2.3446) Prec@1 46.484 (46.711) Prec@5 73.438 (72.033)
Epoch: [50][960/5005] Time 0.211 (0.212) Data 0.048 (0.048) Loss 2.4623 (2.3448) Prec@1 44.531 (46.699) Prec@5 71.094 (72.042)
Epoch: [50][970/5005] Time 0.210 (0.212) Data 0.052 (0.048) Loss 2.1235 (2.3445) Prec@1 53.516 (46.700) Prec@5 73.047 (72.038)
Epoch: [50][980/5005] Time 0.204 (0.212) Data 0.047 (0.048) Loss 2.3210 (2.3437) Prec@1 48.828 (46.703) Prec@5 71.875 (72.054)
Epoch: [50][990/5005] Time 0.205 (0.212) Data 0.047 (0.048) Loss 2.4193 (2.3440) Prec@1 43.750 (46.691) Prec@5 73.828 (72.047)
Epoch: [50][1000/5005] Time 0.211 (0.212) Data 0.046 (0.048) Loss 2.2969 (2.3437) Prec@1 48.047 (46.696) Prec@5 71.875 (72.042)
Epoch: [50][1010/5005] Time 0.220 (0.212) Data 0.042 (0.048) Loss 2.4690 (2.3432) Prec@1 45.703 (46.695) Prec@5 72.266 (72.051)
Epoch: [50][1020/5005] Time 0.215 (0.212) Data 0.047 (0.048) Loss 2.1010 (2.3436) Prec@1 52.734 (46.693) Prec@5 75.781 (72.036)
Epoch: [50][1030/5005] Time 0.213 (0.212) Data 0.043 (0.048) Loss 2.3427 (2.3435) Prec@1 42.578 (46.690) Prec@5 74.609 (72.042)
Epoch: [50][1040/5005] Time 0.211 (0.213) Data 0.050 (0.049) Loss 2.4932 (2.3434) Prec@1 41.016 (46.693) Prec@5 70.312 (72.033)
Epoch: [50][1050/5005] Time 0.197 (0.213) Data 0.045 (0.049) Loss 2.5651 (2.3436) Prec@1 41.406 (46.683) Prec@5 66.016 (72.030)
Epoch: [50][1060/5005] Time 0.208 (0.213) Data 0.041 (0.049) Loss 2.5265 (2.3439) Prec@1 42.578 (46.672) Prec@5 69.922 (72.030)
Epoch: [50][1070/5005] Time 0.215 (0.213) Data 0.047 (0.049) Loss 2.3312 (2.3436) Prec@1 43.750 (46.682) Prec@5 70.703 (72.032)
Epoch: [50][1080/5005] Time 0.208 (0.213) Data 0.042 (0.049) Loss 2.3731 (2.3438) Prec@1 46.094 (46.676) Prec@5 71.484 (72.029)
Epoch: [50][1090/5005] Time 0.213 (0.213) Data 0.048 (0.049) Loss 2.2422 (2.3435) Prec@1 46.875 (46.680) Prec@5 72.266 (72.034)
Epoch: [50][1100/5005] Time 0.215 (0.213) Data 0.045 (0.049) Loss 2.2102 (2.3431) Prec@1 52.344 (46.691) Prec@5 75.781 (72.042)
Epoch: [50][1110/5005] Time 0.208 (0.213) Data 0.062 (0.049) Loss 2.4291 (2.3431) Prec@1 41.797 (46.697) Prec@5 69.141 (72.039)
Epoch: [50][1120/5005] Time 0.204 (0.213) Data 0.049 (0.049) Loss 2.2444 (2.3423) Prec@1 48.438 (46.707) Prec@5 70.703 (72.051)
Epoch: [50][1130/5005] Time 0.213 (0.213) Data 0.046 (0.049) Loss 2.3940 (2.3424) Prec@1 44.141 (46.705) Prec@5 71.094 (72.046)
Epoch: [50][1140/5005] Time 0.212 (0.213) Data 0.042 (0.049) Loss 2.3103 (2.3419) Prec@1 47.266 (46.703) Prec@5 71.094 (72.048)
Epoch: [50][1150/5005] Time 0.219 (0.213) Data 0.044 (0.048) Loss 2.3003 (2.3416) Prec@1 43.750 (46.704) Prec@5 71.875 (72.055)
Epoch: [50][1160/5005] Time 0.212 (0.213) Data 0.042 (0.048) Loss 2.3039 (2.3413) Prec@1 46.094 (46.709) Prec@5 73.438 (72.048)
Epoch: [50][1170/5005] Time 0.211 (0.213) Data 0.043 (0.048) Loss 2.3282 (2.3412) Prec@1 48.438 (46.707) Prec@5 72.656 (72.048)
Epoch: [50][1180/5005] Time 0.207 (0.213) Data 0.050 (0.048) Loss 2.4636 (2.3410) Prec@1 43.359 (46.698) Prec@5 68.750 (72.042)
Epoch: [50][1190/5005] Time 0.203 (0.213) Data 0.041 (0.048) Loss 2.2293 (2.3404) Prec@1 48.047 (46.711) Prec@5 73.438 (72.053)
Epoch: [50][1200/5005] Time 0.212 (0.213) Data 0.044 (0.048) Loss 2.5725 (2.3407) Prec@1 44.141 (46.710) Prec@5 69.141 (72.052)
Epoch: [50][1210/5005] Time 0.214 (0.213) Data 0.043 (0.048) Loss 2.3209 (2.3409) Prec@1 47.266 (46.710) Prec@5 71.484 (72.054)
Epoch: [50][1220/5005] Time 0.211 (0.213) Data 0.043 (0.048) Loss 2.3461 (2.3406) Prec@1 43.359 (46.708) Prec@5 74.219 (72.055)
Epoch: [50][1230/5005] Time 0.214 (0.213) Data 0.043 (0.048) Loss 2.2349 (2.3405) Prec@1 50.391 (46.707) Prec@5 73.047 (72.062)
Epoch: [50][1240/5005] Time 0.205 (0.213) Data 0.049 (0.048) Loss 2.3203 (2.3405) Prec@1 48.438 (46.703) Prec@5 71.484 (72.060)
Epoch: [50][1250/5005] Time 0.209 (0.213) Data 0.048 (0.048) Loss 2.4666 (2.3408) Prec@1 42.969 (46.699) Prec@5 70.312 (72.058)
Epoch: [50][1260/5005] Time 0.204 (0.213) Data 0.053 (0.048) Loss 2.1124 (2.3402) Prec@1 51.562 (46.700) Prec@5 75.000 (72.068)
Epoch: [50][1270/5005] Time 0.210 (0.213) Data 0.062 (0.048) Loss 2.4303 (2.3406) Prec@1 45.312 (46.696) Prec@5 70.312 (72.055)
Epoch: [50][1280/5005] Time 0.217 (0.213) Data 0.042 (0.048) Loss 2.3706 (2.3408) Prec@1 47.266 (46.684) Prec@5 71.484 (72.052)
Epoch: [50][1290/5005] Time 0.204 (0.213) Data 0.041 (0.048) Loss 2.0717 (2.3405) Prec@1 52.734 (46.688) Prec@5 74.609 (72.057)
Epoch: [50][1300/5005] Time 0.198 (0.213) Data 0.049 (0.048) Loss 2.1865 (2.3403) Prec@1 48.828 (46.696) Prec@5 75.391 (72.058)
Epoch: [50][1310/5005] Time 0.195 (0.212) Data 0.043 (0.048) Loss 2.2874 (2.3401) Prec@1 48.828 (46.695) Prec@5 71.094 (72.063)
Epoch: [50][1320/5005] Time 0.201 (0.212) Data 0.048 (0.048) Loss 2.4315 (2.3398) Prec@1 45.703 (46.698) Prec@5 70.312 (72.066)
Epoch: [50][1330/5005] Time 0.211 (0.212) Data 0.044 (0.048) Loss 2.4086 (2.3402) Prec@1 45.703 (46.690) Prec@5 69.922 (72.067)
Epoch: [50][1340/5005] Time 0.211 (0.212) Data 0.044 (0.048) Loss 2.1622 (2.3401) Prec@1 50.781 (46.697) Prec@5 73.828 (72.068)
Epoch: [50][1350/5005] Time 0.210 (0.212) Data 0.045 (0.048) Loss 2.7331 (2.3402) Prec@1 41.016 (46.680) Prec@5 67.578 (72.068)
Epoch: [50][1360/5005] Time 0.205 (0.212) Data 0.042 (0.048) Loss 2.1997 (2.3400) Prec@1 48.047 (46.684) Prec@5 75.000 (72.065)
Epoch: [50][1370/5005] Time 0.213 (0.212) Data 0.043 (0.048) Loss 2.3672 (2.3394) Prec@1 50.000 (46.694) Prec@5 71.094 (72.077)
Epoch: [50][1380/5005] Time 0.211 (0.212) Data 0.044 (0.048) Loss 2.2282 (2.3392) Prec@1 51.172 (46.695) Prec@5 73.828 (72.087)
Epoch: [50][1390/5005] Time 0.210 (0.212) Data 0.044 (0.048) Loss 2.1874 (2.3392) Prec@1 48.047 (46.696) Prec@5 75.781 (72.089)
Epoch: [50][1400/5005] Time 0.210 (0.212) Data 0.042 (0.048) Loss 2.2782 (2.3383) Prec@1 46.875 (46.714) Prec@5 72.656 (72.106)
Epoch: [50][1410/5005] Time 0.205 (0.212) Data 0.043 (0.048) Loss 2.3675 (2.3381) Prec@1 46.875 (46.714) Prec@5 71.875 (72.105)
Epoch: [50][1420/5005] Time 0.203 (0.212) Data 0.043 (0.048) Loss 2.5204 (2.3381) Prec@1 43.750 (46.707) Prec@5 68.750 (72.105)
Epoch: [50][1430/5005] Time 0.215 (0.212) Data 0.044 (0.048) Loss 2.1006 (2.3377) Prec@1 51.562 (46.719) Prec@5 76.562 (72.112)
Epoch: [50][1440/5005] Time 0.201 (0.212) Data 0.058 (0.048) Loss 2.0166 (2.3375) Prec@1 53.516 (46.719) Prec@5 78.906 (72.120)
Epoch: [50][1450/5005] Time 0.204 (0.212) Data 0.059 (0.048) Loss 2.4236 (2.3373) Prec@1 47.656 (46.722) Prec@5 71.484 (72.120)
Epoch: [50][1460/5005] Time 0.204 (0.212) Data 0.044 (0.048) Loss 2.2362 (2.3371) Prec@1 48.438 (46.726) Prec@5 73.047 (72.128)
Epoch: [50][1470/5005] Time 0.215 (0.212) Data 0.046 (0.048) Loss 2.4244 (2.3374) Prec@1 44.922 (46.724) Prec@5 71.484 (72.119)
Epoch: [50][1480/5005] Time 0.210 (0.212) Data 0.063 (0.048) Loss 2.1806 (2.3375) Prec@1 47.266 (46.720) Prec@5 74.219 (72.117)
Epoch: [50][1490/5005] Time 0.209 (0.212) Data 0.047 (0.048) Loss 2.5183 (2.3370) Prec@1 44.141 (46.725) Prec@5 69.531 (72.127)
Epoch: [50][1500/5005] Time 0.215 (0.212) Data 0.043 (0.048) Loss 2.1894 (2.3367) Prec@1 47.266 (46.732) Prec@5 74.609 (72.135)
Epoch: [50][1510/5005] Time 0.215 (0.212) Data 0.042 (0.048) Loss 2.2523 (2.3365) Prec@1 47.266 (46.740) Prec@5 71.875 (72.131)
Epoch: [50][1520/5005] Time 0.198 (0.212) Data 0.061 (0.048) Loss 2.4163 (2.3361) Prec@1 47.656 (46.751) Prec@5 74.609 (72.139)
Epoch: [50][1530/5005] Time 0.219 (0.212) Data 0.047 (0.048) Loss 2.3805 (2.3360) Prec@1 47.656 (46.753) Prec@5 71.484 (72.143)
Epoch: [50][1540/5005] Time 0.213 (0.212) Data 0.047 (0.048) Loss 2.2920 (2.3361) Prec@1 46.094 (46.753) Prec@5 69.922 (72.140)
Epoch: [50][1550/5005] Time 0.216 (0.212) Data 0.045 (0.048) Loss 2.3000 (2.3358) Prec@1 49.609 (46.759) Prec@5 73.438 (72.144)
Epoch: [50][1560/5005] Time 0.208 (0.212) Data 0.041 (0.048) Loss 2.3206 (2.3360) Prec@1 47.656 (46.754) Prec@5 70.703 (72.145)
Epoch: [50][1570/5005] Time 0.207 (0.212) Data 0.051 (0.048) Loss 2.1906 (2.3356) Prec@1 45.312 (46.753) Prec@5 75.391 (72.152)
Epoch: [50][1580/5005] Time 0.207 (0.212) Data 0.049 (0.048) Loss 2.2128 (2.3358) Prec@1 50.000 (46.749) Prec@5 73.438 (72.152)
Epoch: [50][1590/5005] Time 0.215 (0.212) Data 0.044 (0.048) Loss 2.4522 (2.3357) Prec@1 48.047 (46.757) Prec@5 69.922 (72.151)
Epoch: [50][1600/5005] Time 0.211 (0.212) Data 0.046 (0.048) Loss 2.3484 (2.3359) Prec@1 53.516 (46.754) Prec@5 71.484 (72.151)
Epoch: [50][1610/5005] Time 0.205 (0.212) Data 0.048 (0.048) Loss 2.4361 (2.3356) Prec@1 44.922 (46.763) Prec@5 67.969 (72.155)
Epoch: [50][1620/5005] Time 0.213 (0.212) Data 0.043 (0.048) Loss 2.3984 (2.3353) Prec@1 44.922 (46.761) Prec@5 70.312 (72.157)
Epoch: [50][1630/5005] Time 0.207 (0.212) Data 0.053 (0.048) Loss 2.2256 (2.3352) Prec@1 50.781 (46.763) Prec@5 73.047 (72.156)
Epoch: [50][1640/5005] Time 0.220 (0.212) Data 0.042 (0.048) Loss 2.4372 (2.3354) Prec@1 48.047 (46.760) Prec@5 70.312 (72.152)
Epoch: [50][1650/5005] Time 0.216 (0.212) Data 0.044 (0.048) Loss 2.4068 (2.3354) Prec@1 48.828 (46.767) Prec@5 69.531 (72.150)
Epoch: [50][1660/5005] Time 0.215 (0.212) Data 0.043 (0.048) Loss 2.2308 (2.3347) Prec@1 51.562 (46.789) Prec@5 72.656 (72.161)
Epoch: [50][1670/5005] Time 0.213 (0.212) Data 0.043 (0.048) Loss 2.1929 (2.3348) Prec@1 50.000 (46.790) Prec@5 73.828 (72.160)
Epoch: [50][1680/5005] Time 0.212 (0.212) Data 0.044 (0.048) Loss 2.5101 (2.3351) Prec@1 48.047 (46.779) Prec@5 68.750 (72.158)
Epoch: [50][1690/5005] Time 0.200 (0.212) Data 0.042 (0.048) Loss 2.2026 (2.3350) Prec@1 47.656 (46.777) Prec@5 71.484 (72.165)
Epoch: [50][1700/5005] Time 0.214 (0.212) Data 0.045 (0.048) Loss 2.2048 (2.3345) Prec@1 46.875 (46.783) Prec@5 73.047 (72.175)
Epoch: [50][1710/5005] Time 0.211 (0.212) Data 0.044 (0.048) Loss 2.2067 (2.3339) Prec@1 48.047 (46.792) Prec@5 73.438 (72.182)
Epoch: [50][1720/5005] Time 0.212 (0.212) Data 0.044 (0.048) Loss 2.2759 (2.3337) Prec@1 48.438 (46.792) Prec@5 73.438 (72.190)
Epoch: [50][1730/5005] Time 0.206 (0.212) Data 0.044 (0.048) Loss 2.2803 (2.3336) Prec@1 43.359 (46.788) Prec@5 75.000 (72.195)
Epoch: [50][1740/5005] Time 0.216 (0.212) Data 0.044 (0.048) Loss 2.4809 (2.3333) Prec@1 42.969 (46.797) Prec@5 71.094 (72.203)
Epoch: [50][1750/5005] Time 0.219 (0.212) Data 0.044 (0.048) Loss 2.3354 (2.3331) Prec@1 45.703 (46.802) Prec@5 69.531 (72.207)
Epoch: [50][1760/5005] Time 0.199 (0.212) Data 0.042 (0.048) Loss 2.1461 (2.3328) Prec@1 49.219 (46.803) Prec@5 78.516 (72.215)
Epoch: [50][1770/5005] Time 0.201 (0.212) Data 0.043 (0.048) Loss 2.3927 (2.3326) Prec@1 44.531 (46.809) Prec@5 72.266 (72.217)
Epoch: [50][1780/5005] Time 0.203 (0.212) Data 0.062 (0.048) Loss 2.2423 (2.3325) Prec@1 48.828 (46.808) Prec@5 73.828 (72.219)
Epoch: [50][1790/5005] Time 0.208 (0.212) Data 0.056 (0.048) Loss 2.2455 (2.3323) Prec@1 49.609 (46.810) Prec@5 73.047 (72.216)
Epoch: [50][1800/5005] Time 0.214 (0.212) Data 0.056 (0.048) Loss 2.2897 (2.3320) Prec@1 44.531 (46.820) Prec@5 76.172 (72.227)
Epoch: [50][1810/5005] Time 0.215 (0.212) Data 0.047 (0.048) Loss 2.2218 (2.3316) Prec@1 51.562 (46.825) Prec@5 73.828 (72.234)
Epoch: [50][1820/5005] Time 0.205 (0.212) Data 0.047 (0.048) Loss 2.3049 (2.3314) Prec@1 48.438 (46.833) Prec@5 73.828 (72.241)
Epoch: [50][1830/5005] Time 0.206 (0.212) Data 0.055 (0.048) Loss 2.1801 (2.3308) Prec@1 49.609 (46.844) Prec@5 73.438 (72.250)
Epoch: [50][1840/5005] Time 0.206 (0.212) Data 0.056 (0.048) Loss 2.4870 (2.3306) Prec@1 44.531 (46.850) Prec@5 70.703 (72.256)
Epoch: [50][1850/5005] Time 0.208 (0.212) Data 0.055 (0.048) Loss 2.3170 (2.3303) Prec@1 42.578 (46.850) Prec@5 74.609 (72.261)
Epoch: [50][1860/5005] Time 0.208 (0.212) Data 0.046 (0.048) Loss 2.2856 (2.3302) Prec@1 47.266 (46.853) Prec@5 73.047 (72.264)
Epoch: [50][1870/5005] Time 0.211 (0.212) Data 0.046 (0.048) Loss 2.5902 (2.3307) Prec@1 44.141 (46.843) Prec@5 69.922 (72.253)
Epoch: [50][1880/5005] Time 0.208 (0.212) Data 0.046 (0.048) Loss 2.3794 (2.3306) Prec@1 50.781 (46.846) Prec@5 70.703 (72.253)
Epoch: [50][1890/5005] Time 0.219 (0.212) Data 0.047 (0.048) Loss 2.4461 (2.3305) Prec@1 46.875 (46.849) Prec@5 70.312 (72.258)
Epoch: [50][1900/5005] Time 0.211 (0.212) Data 0.045 (0.048) Loss 2.4005 (2.3312) Prec@1 47.266 (46.836) Prec@5 72.656 (72.250)
Epoch: [50][1910/5005] Time 0.210 (0.212) Data 0.043 (0.048) Loss 2.2391 (2.3311) Prec@1 48.047 (46.834) Prec@5 76.953 (72.251)
Epoch: [50][1920/5005] Time 0.209 (0.212) Data 0.043 (0.048) Loss 2.2316 (2.3309) Prec@1 50.781 (46.838) Prec@5 72.656 (72.256)
Epoch: [50][1930/5005] Time 0.217 (0.212) Data 0.044 (0.048) Loss 2.1086 (2.3305) Prec@1 48.828 (46.843) Prec@5 73.438 (72.261)
Epoch: [50][1940/5005] Time 0.201 (0.212) Data 0.061 (0.048) Loss 2.2666 (2.3302) Prec@1 50.781 (46.851) Prec@5 74.609 (72.266)
Epoch: [50][1950/5005] Time 0.208 (0.212) Data 0.048 (0.048) Loss 2.5089 (2.3297) Prec@1 42.969 (46.857) Prec@5 70.312 (72.275)
Epoch: [50][1960/5005] Time 0.201 (0.212) Data 0.046 (0.048) Loss 2.2655 (2.3294) Prec@1 49.219 (46.867) Prec@5 72.656 (72.281)
Epoch: [50][1970/5005] Time 0.208 (0.211) Data 0.046 (0.048) Loss 2.3215 (2.3294) Prec@1 46.484 (46.867) Prec@5 69.531 (72.279)
Epoch: [50][1980/5005] Time 0.213 (0.211) Data 0.042 (0.048) Loss 2.1121 (2.3291) Prec@1 55.469 (46.878) Prec@5 75.000 (72.283)
Epoch: [50][1990/5005] Time 0.211 (0.211) Data 0.044 (0.048) Loss 2.0565 (2.3289) Prec@1 50.781 (46.886) Prec@5 77.344 (72.287)
Epoch: [50][2000/5005] Time 0.212 (0.211) Data 0.046 (0.048) Loss 2.2413 (2.3291) Prec@1 50.000 (46.883) Prec@5 73.047 (72.284)
Epoch: [50][2010/5005] Time 0.218 (0.211) Data 0.045 (0.048) Loss 2.1728 (2.3292) Prec@1 53.125 (46.878) Prec@5 75.000 (72.281)
Epoch: [50][2020/5005] Time 0.212 (0.211) Data 0.048 (0.048) Loss 2.3130 (2.3292) Prec@1 46.094 (46.880) Prec@5 75.000 (72.281)
Epoch: [50][2030/5005] Time 0.209 (0.211) Data 0.046 (0.048) Loss 2.2261 (2.3292) Prec@1 46.875 (46.881) Prec@5 75.781 (72.287)
Epoch: [50][2040/5005] Time 0.203 (0.211) Data 0.042 (0.048) Loss 2.0437 (2.3289) Prec@1 51.172 (46.884) Prec@5 77.344 (72.290)
Epoch: [50][2050/5005] Time 0.213 (0.211) Data 0.067 (0.048) Loss 2.4019 (2.3288) Prec@1 46.094 (46.892) Prec@5 72.266 (72.294)
Epoch: [50][2060/5005] Time 0.207 (0.211) Data 0.047 (0.048) Loss 2.2052 (2.3286) Prec@1 46.094 (46.895) Prec@5 72.266 (72.294)
Epoch: [50][2070/5005] Time 0.205 (0.211) Data 0.051 (0.048) Loss 2.4580 (2.3288) Prec@1 44.922 (46.892) Prec@5 73.047 (72.289)
Epoch: [50][2080/5005] Time 0.204 (0.211) Data 0.044 (0.048) Loss 2.3014 (2.3288) Prec@1 46.484 (46.890) Prec@5 73.047 (72.288)
Epoch: [50][2090/5005] Time 0.206 (0.211) Data 0.042 (0.048) Loss 2.2063 (2.3281) Prec@1 48.828 (46.904) Prec@5 74.219 (72.297)
Epoch: [50][2100/5005] Time 0.203 (0.211) Data 0.060 (0.048) Loss 2.3951 (2.3280) Prec@1 47.656 (46.911) Prec@5 70.703 (72.297)
Epoch: [50][2110/5005] Time 0.216 (0.211) Data 0.046 (0.048) Loss 2.0719 (2.3282) Prec@1 53.125 (46.905) Prec@5 77.344 (72.294)
Epoch: [50][2120/5005] Time 0.208 (0.211) Data 0.043 (0.048) Loss 2.5000 (2.3281) Prec@1 45.703 (46.904) Prec@5 68.750 (72.297)
Epoch: [50][2130/5005] Time 0.216 (0.211) Data 0.044 (0.048) Loss 2.3624 (2.3277) Prec@1 46.094 (46.913) Prec@5 69.141 (72.307)
Epoch: [50][2140/5005] Time 0.209 (0.211) Data 0.050 (0.048) Loss 2.2890 (2.3276) Prec@1 46.484 (46.916) Prec@5 71.875 (72.308)
Epoch: [50][2150/5005] Time 0.212 (0.211) Data 0.051 (0.048) Loss 2.1043 (2.3275) Prec@1 50.781 (46.914) Prec@5 76.562 (72.308)
Epoch: [50][2160/5005] Time 0.210 (0.211) Data 0.043 (0.048) Loss 2.2401 (2.3273) Prec@1 46.094 (46.913) Prec@5 75.000 (72.313)
Epoch: [50][2170/5005] Time 0.203 (0.211) Data 0.041 (0.048) Loss 2.1632 (2.3269) Prec@1 48.828 (46.925) Prec@5 77.344 (72.319)
Epoch: [50][2180/5005] Time 0.213 (0.211) Data 0.043 (0.048) Loss 2.4520 (2.3271) Prec@1 43.750 (46.919) Prec@5 67.188 (72.318)
Epoch: [50][2190/5005] Time 0.216 (0.211) Data 0.043 (0.048) Loss 2.6829 (2.3271) Prec@1 39.453 (46.921) Prec@5 65.234 (72.318)
Epoch: [50][2200/5005] Time 0.207 (0.211) Data 0.061 (0.048) Loss 2.3047 (2.3272) Prec@1 44.922 (46.913) Prec@5 70.312 (72.316)
Epoch: [50][2210/5005] Time 0.215 (0.211) Data 0.043 (0.048) Loss 2.3884 (2.3273) Prec@1 43.359 (46.911) Prec@5 71.484 (72.317)
Epoch: [50][2220/5005] Time 0.212 (0.211) Data 0.042 (0.048) Loss 2.3480 (2.3270) Prec@1 46.875 (46.913) Prec@5 67.969 (72.320)
Epoch: [50][2230/5005] Time 0.215 (0.211) Data 0.044 (0.048) Loss 2.2501 (2.3269) Prec@1 48.828 (46.912) Prec@5 73.047 (72.318)
Epoch: [50][2240/5005] Time 0.212 (0.211) Data 0.041 (0.048) Loss 2.3402 (2.3271) Prec@1 48.047 (46.907) Prec@5 71.484 (72.314)
Epoch: [50][2250/5005] Time 0.212 (0.211) Data 0.042 (0.048) Loss 2.0856 (2.3270) Prec@1 49.609 (46.905) Prec@5 78.125 (72.315)
Epoch: [50][2260/5005] Time 0.194 (0.211) Data 0.042 (0.048) Loss 2.1891 (2.3267) Prec@1 47.266 (46.910) Prec@5 74.219 (72.321)
Epoch: [50][2270/5005] Time 0.204 (0.211) Data 0.068 (0.048) Loss 2.4452 (2.3265) Prec@1 44.922 (46.914) Prec@5 71.484 (72.325)
Epoch: [50][2280/5005] Time 0.216 (0.211) Data 0.044 (0.048) Loss 2.3529 (2.3265) Prec@1 47.266 (46.916) Prec@5 72.656 (72.327)
Epoch: [50][2290/5005] Time 0.210 (0.211) Data 0.044 (0.048) Loss 2.1947 (2.3265) Prec@1 53.906 (46.921) Prec@5 75.000 (72.329)
Epoch: [50][2300/5005] Time 0.205 (0.211) Data 0.046 (0.048) Loss 2.1845 (2.3263) Prec@1 48.047 (46.928) Prec@5 75.391 (72.333)
Epoch: [50][2310/5005] Time 0.215 (0.211) Data 0.048 (0.048) Loss 2.1748 (2.3261) Prec@1 50.000 (46.932) Prec@5 71.094 (72.333)
Epoch: [50][2320/5005] Time 0.217 (0.211) Data 0.047 (0.048) Loss 2.4939 (2.3260) Prec@1 44.141 (46.934) Prec@5 71.484 (72.337)
Epoch: [50][2330/5005] Time 0.216 (0.211) Data 0.044 (0.048) Loss 2.2338 (2.3258) Prec@1 46.484 (46.941) Prec@5 74.219 (72.340)
Epoch: [50][2340/5005] Time 0.221 (0.211) Data 0.042 (0.048) Loss 2.3329 (2.3256) Prec@1 39.844 (46.939) Prec@5 76.172 (72.341)
Epoch: [50][2350/5005] Time 0.214 (0.211) Data 0.043 (0.048) Loss 2.1418 (2.3253) Prec@1 46.875 (46.940) Prec@5 75.781 (72.343)
Epoch: [50][2360/5005] Time 0.225 (0.211) Data 0.042 (0.048) Loss 2.4166 (2.3253) Prec@1 46.875 (46.941) Prec@5 67.188 (72.341)
Epoch: [50][2370/5005] Time 0.211 (0.211) Data 0.042 (0.048) Loss 2.3229 (2.3253) Prec@1 48.828 (46.941) Prec@5 71.094 (72.340)
Epoch: [50][2380/5005] Time 0.217 (0.211) Data 0.047 (0.048) Loss 2.3618 (2.3250) Prec@1 45.703 (46.949) Prec@5 70.703 (72.346)
Epoch: [50][2390/5005] Time 0.200 (0.211) Data 0.052 (0.048) Loss 2.2523 (2.3248) Prec@1 46.094 (46.951) Prec@5 71.875 (72.347)
Epoch: [50][2400/5005] Time 0.211 (0.211) Data 0.048 (0.048) Loss 2.2854 (2.3248) Prec@1 46.875 (46.948) Prec@5 70.312 (72.349)
Epoch: [50][2410/5005] Time 0.210 (0.211) Data 0.046 (0.048) Loss 2.5193 (2.3248) Prec@1 48.438 (46.951) Prec@5 66.016 (72.349)
Epoch: [50][2420/5005] Time 0.214 (0.211) Data 0.047 (0.048) Loss 2.3826 (2.3246) Prec@1 48.047 (46.954) Prec@5 74.609 (72.354)
Epoch: [50][2430/5005] Time 0.202 (0.211) Data 0.050 (0.048) Loss 2.2332 (2.3246) Prec@1 46.094 (46.954) Prec@5 75.391 (72.354)
Epoch: [50][2440/5005] Time 0.211 (0.211) Data 0.047 (0.048) Loss 2.0405 (2.3245) Prec@1 50.781 (46.959) Prec@5 79.297 (72.355)
Epoch: [50][2450/5005] Time 0.205 (0.211) Data 0.046 (0.048) Loss 2.1476 (2.3241) Prec@1 51.172 (46.971) Prec@5 72.656 (72.362)
Epoch: [50][2460/5005] Time 0.195 (0.211) Data 0.044 (0.048) Loss 2.2807 (2.3239) Prec@1 46.875 (46.973) Prec@5 72.266 (72.364)
Epoch: [50][2470/5005] Time 0.208 (0.211) Data 0.045 (0.048) Loss 2.1877 (2.3237) Prec@1 49.219 (46.975) Prec@5 72.656 (72.366)
Epoch: [50][2480/5005] Time 0.216 (0.211) Data 0.041 (0.048) Loss 2.4521 (2.3238) Prec@1 45.703 (46.971) Prec@5 70.703 (72.363)
Epoch: [50][2490/5005] Time 0.211 (0.211) Data 0.044 (0.048) Loss 2.1043 (2.3237) Prec@1 51.953 (46.971) Prec@5 76.562 (72.365)
Epoch: [50][2500/5005] Time 0.206 (0.211) Data 0.049 (0.048) Loss 2.2149 (2.3235) Prec@1 47.266 (46.976) Prec@5 74.219 (72.367)
Epoch: [50][2510/5005] Time 0.212 (0.211) Data 0.044 (0.048) Loss 2.4024 (2.3235) Prec@1 41.797 (46.974) Prec@5 73.047 (72.368)
Epoch: [50][2520/5005] Time 0.207 (0.211) Data 0.043 (0.048) Loss 2.1877 (2.3233) Prec@1 49.219 (46.976) Prec@5 73.828 (72.370)
Epoch: [50][2530/5005] Time 0.205 (0.211) Data 0.046 (0.048) Loss 2.5714 (2.3235) Prec@1 38.281 (46.970) Prec@5 68.359 (72.373)
Epoch: [50][2540/5005] Time 0.209 (0.211) Data 0.044 (0.048) Loss 2.2346 (2.3235) Prec@1 47.656 (46.973) Prec@5 74.219 (72.375)
Epoch: [50][2550/5005] Time 0.215 (0.211) Data 0.044 (0.048) Loss 2.2832 (2.3234) Prec@1 48.438 (46.975) Prec@5 71.875 (72.376)
Epoch: [50][2560/5005] Time 0.214 (0.211) Data 0.044 (0.048) Loss 2.3706 (2.3233) Prec@1 46.875 (46.974) Prec@5 72.266 (72.378)
Epoch: [50][2570/5005] Time 0.208 (0.211) Data 0.041 (0.048) Loss 2.4558 (2.3233) Prec@1 44.922 (46.974) Prec@5 70.312 (72.376)
Epoch: [50][2580/5005] Time 0.212 (0.211) Data 0.042 (0.048) Loss 2.4976 (2.3236) Prec@1 41.016 (46.965) Prec@5 67.188 (72.370)
Epoch: [50][2590/5005] Time 0.210 (0.211) Data 0.044 (0.048) Loss 2.4205 (2.3233) Prec@1 48.438 (46.973) Prec@5 73.047 (72.374)
Epoch: [50][2600/5005] Time 0.206 (0.211) Data 0.041 (0.048) Loss 2.4454 (2.3234) Prec@1 46.094 (46.970) Prec@5 75.000 (72.373)
Epoch: [50][2610/5005] Time 0.211 (0.211) Data 0.043 (0.048) Loss 2.5347 (2.3232) Prec@1 42.188 (46.973) Prec@5 67.188 (72.378)
Epoch: [50][2620/5005] Time 0.211 (0.211) Data 0.044 (0.048) Loss 2.2321 (2.3230) Prec@1 48.047 (46.974) Prec@5 75.000 (72.384)
Epoch: [50][2630/5005] Time 0.200 (0.211) Data 0.058 (0.048) Loss 2.5063 (2.3233) Prec@1 42.578 (46.970) Prec@5 70.703 (72.379)
Epoch: [50][2640/5005] Time 0.213 (0.211) Data 0.042 (0.048) Loss 2.3608 (2.3233) Prec@1 45.703 (46.970) Prec@5 73.828 (72.381)
Epoch: [50][2650/5005] Time 0.206 (0.211) Data 0.043 (0.048) Loss 2.5574 (2.3233) Prec@1 44.141 (46.966) Prec@5 69.531 (72.382)
Epoch: [50][2660/5005] Time 0.213 (0.211) Data 0.041 (0.048) Loss 2.2339 (2.3233) Prec@1 47.266 (46.965) Prec@5 73.047 (72.379)
Epoch: [50][2670/5005] Time 0.198 (0.211) Data 0.052 (0.048) Loss 2.0963 (2.3230) Prec@1 49.609 (46.973) Prec@5 78.516 (72.386)
Epoch: [50][2680/5005] Time 0.208 (0.211) Data 0.051 (0.048) Loss 2.1198 (2.3229) Prec@1 50.000 (46.972) Prec@5 76.172 (72.388)
Epoch: [50][2690/5005] Time 0.211 (0.211) Data 0.041 (0.048) Loss 2.1592 (2.3227) Prec@1 51.953 (46.977) Prec@5 75.000 (72.389)
Epoch: [50][2700/5005] Time 0.213 (0.211) Data 0.048 (0.048) Loss 2.2699 (2.3227) Prec@1 44.922 (46.973) Prec@5 71.094 (72.389)
Epoch: [50][2710/5005] Time 0.205 (0.211) Data 0.048 (0.048) Loss 2.1456 (2.3228) Prec@1 50.391 (46.971) Prec@5 74.219 (72.387)
Epoch: [50][2720/5005] Time 0.205 (0.211) Data 0.046 (0.048) Loss 2.0932 (2.3228) Prec@1 52.344 (46.969) Prec@5 76.562 (72.390)
Epoch: [50][2730/5005] Time 0.215 (0.211) Data 0.043 (0.048) Loss 2.3448 (2.3226) Prec@1 48.047 (46.975) Prec@5 71.484 (72.397)
Epoch: [50][2740/5005] Time 0.198 (0.211) Data 0.046 (0.048) Loss 2.2968 (2.3224) Prec@1 48.047 (46.979) Prec@5 73.828 (72.398)
Epoch: [50][2750/5005] Time 0.216 (0.211) Data 0.043 (0.048) Loss 2.2974 (2.3223) Prec@1 49.219 (46.981) Prec@5 71.875 (72.401)
Epoch: [50][2760/5005] Time 0.203 (0.211) Data 0.061 (0.048) Loss 2.2391 (2.3221) Prec@1 50.000 (46.982) Prec@5 71.484 (72.405)
Epoch: [50][2770/5005] Time 0.209 (0.211) Data 0.065 (0.048) Loss 2.2020 (2.3220) Prec@1 50.391 (46.986) Prec@5 73.047 (72.405)
Epoch: [50][2780/5005] Time 0.211 (0.211) Data 0.049 (0.048) Loss 2.4569 (2.3220) Prec@1 46.094 (46.990) Prec@5 69.922 (72.406)
Epoch: [50][2790/5005] Time 0.206 (0.211) Data 0.051 (0.048) Loss 2.5117 (2.3220) Prec@1 40.234 (46.990) Prec@5 68.750 (72.406)
Epoch: [50][2800/5005] Time 0.206 (0.211) Data 0.052 (0.048) Loss 2.0045 (2.3218) Prec@1 52.734 (46.997) Prec@5 78.516 (72.412)
Epoch: [50][2810/5005] Time 0.194 (0.211) Data 0.052 (0.048) Loss 2.4946 (2.3217) Prec@1 46.094 (46.999) Prec@5 72.656 (72.412)
Epoch: [50][2820/5005] Time 0.212 (0.211) Data 0.041 (0.048) Loss 2.0562 (2.3217) Prec@1 48.828 (46.996) Prec@5 73.438 (72.413)
Epoch: [50][2830/5005] Time 0.213 (0.211) Data 0.042 (0.048) Loss 2.5257 (2.3217) Prec@1 40.625 (46.993) Prec@5 68.359 (72.413)
Epoch: [50][2840/5005] Time 0.214 (0.211) Data 0.043 (0.048) Loss 2.4019 (2.3217) Prec@1 46.094 (46.991) Prec@5 73.438 (72.412)
Epoch: [50][2850/5005] Time 0.211 (0.211) Data 0.047 (0.048) Loss 2.2642 (2.3215) Prec@1 49.609 (46.994) Prec@5 74.609 (72.412)
Epoch: [50][2860/5005] Time 0.201 (0.211) Data 0.045 (0.048) Loss 2.3289 (2.3216) Prec@1 48.047 (46.998) Prec@5 72.656 (72.413)
Epoch: [50][2870/5005] Time 0.203 (0.211) Data 0.045 (0.048) Loss 2.2202 (2.3213) Prec@1 47.656 (47.007) Prec@5 74.219 (72.417)
Epoch: [50][2880/5005] Time 0.200 (0.211) Data 0.050 (0.048) Loss 2.3558 (2.3213) Prec@1 44.531 (47.010) Prec@5 73.047 (72.417)
Epoch: [50][2890/5005] Time 0.219 (0.211) Data 0.050 (0.048) Loss 2.3385 (2.3212) Prec@1 41.797 (47.013) Prec@5 71.875 (72.421)
Epoch: [50][2900/5005] Time 0.205 (0.211) Data 0.041 (0.048) Loss 2.0664 (2.3209) Prec@1 52.344 (47.019) Prec@5 74.609 (72.427)
Epoch: [50][2910/5005] Time 0.212 (0.211) Data 0.043 (0.048) Loss 2.2482 (2.3208) Prec@1 46.875 (47.021) Prec@5 75.000 (72.429)
Epoch: [50][2920/5005] Time 0.214 (0.211) Data 0.044 (0.048) Loss 2.3707 (2.3208) Prec@1 44.922 (47.022) Prec@5 71.484 (72.429)
Epoch: [50][2930/5005] Time 0.207 (0.211) Data 0.046 (0.048) Loss 2.5333 (2.3209) Prec@1 43.750 (47.024) Prec@5 68.359 (72.428)
Epoch: [50][2940/5005] Time 0.214 (0.211) Data 0.042 (0.048) Loss 2.3031 (2.3207) Prec@1 46.094 (47.028) Prec@5 72.656 (72.428)
Epoch: [50][2950/5005] Time 0.205 (0.211) Data 0.041 (0.048) Loss 2.3702 (2.3204) Prec@1 47.266 (47.031) Prec@5 74.219 (72.430)
Epoch: [50][2960/5005] Time 0.205 (0.211) Data 0.044 (0.048) Loss 2.3740 (2.3203) Prec@1 50.000 (47.036) Prec@5 70.312 (72.431)
Epoch: [50][2970/5005] Time 0.212 (0.211) Data 0.044 (0.048) Loss 2.4183 (2.3202) Prec@1 44.922 (47.037) Prec@5 71.875 (72.437)
Epoch: [50][2980/5005] Time 0.212 (0.211) Data 0.051 (0.048) Loss 2.4840 (2.3202) Prec@1 39.062 (47.035) Prec@5 71.875 (72.437)
Epoch: [50][2990/5005] Time 0.198 (0.211) Data 0.047 (0.048) Loss 2.2764 (2.3203) Prec@1 47.656 (47.034) Prec@5 70.312 (72.434)
Epoch: [50][3000/5005] Time 0.203 (0.211) Data 0.047 (0.048) Loss 2.2865 (2.3202) Prec@1 44.141 (47.036) Prec@5 73.828 (72.435)
Epoch: [50][3010/5005] Time 0.208 (0.211) Data 0.044 (0.048) Loss 2.1905 (2.3202) Prec@1 49.609 (47.036) Prec@5 73.828 (72.434)
Epoch: [50][3020/5005] Time 0.208 (0.211) Data 0.045 (0.048) Loss 2.1692 (2.3202) Prec@1 45.703 (47.035) Prec@5 74.219 (72.434)
Epoch: [50][3030/5005] Time 0.219 (0.211) Data 0.044 (0.048) Loss 2.3526 (2.3202) Prec@1 45.703 (47.036) Prec@5 69.922 (72.436)
Epoch: [50][3040/5005] Time 0.206 (0.211) Data 0.042 (0.048) Loss 2.0576 (2.3200) Prec@1 52.734 (47.041) Prec@5 75.781 (72.437)
Epoch: [50][3050/5005] Time 0.207 (0.211) Data 0.042 (0.048) Loss 2.1845 (2.3200) Prec@1 47.656 (47.038) Prec@5 76.172 (72.439)
Epoch: [50][3060/5005] Time 0.201 (0.211) Data 0.046 (0.048) Loss 2.2676 (2.3200) Prec@1 51.172 (47.039) Prec@5 73.438 (72.441)
Epoch: [50][3070/5005] Time 0.215 (0.211) Data 0.047 (0.048) Loss 2.2242 (2.3199) Prec@1 47.656 (47.042) Prec@5 74.609 (72.440)
Epoch: [50][3080/5005] Time 0.206 (0.211) Data 0.065 (0.048) Loss 2.1995 (2.3198) Prec@1 45.312 (47.043) Prec@5 73.828 (72.439)
Epoch: [50][3090/5005] Time 0.213 (0.211) Data 0.045 (0.048) Loss 2.4884 (2.3196) Prec@1 41.016 (47.046) Prec@5 71.875 (72.442)
Epoch: [50][3100/5005] Time 0.206 (0.211) Data 0.041 (0.048) Loss 2.3433 (2.3196) Prec@1 48.047 (47.046) Prec@5 71.484 (72.445)
Epoch: [50][3110/5005] Time 0.213 (0.211) Data 0.044 (0.048) Loss 2.0859 (2.3193) Prec@1 54.297 (47.052) Prec@5 76.172 (72.448)
Epoch: [50][3120/5005] Time 0.209 (0.211) Data 0.046 (0.047) Loss 2.3697 (2.3193) Prec@1 46.875 (47.053) Prec@5 74.609 (72.449)
Epoch: [50][3130/5005] Time 0.216 (0.211) Data 0.043 (0.047) Loss 2.3014 (2.3190) Prec@1 44.922 (47.061) Prec@5 74.609 (72.456)
Epoch: [50][3140/5005] Time 0.212 (0.211) Data 0.040 (0.048) Loss 2.0330 (2.3188) Prec@1 55.469 (47.065) Prec@5 75.781 (72.458)
Epoch: [50][3150/5005] Time 0.208 (0.211) Data 0.050 (0.048) Loss 2.4074 (2.3187) Prec@1 46.875 (47.069) Prec@5 69.141 (72.460)
Epoch: [50][3160/5005] Time 0.202 (0.211) Data 0.045 (0.047) Loss 2.1114 (2.3186) Prec@1 52.344 (47.074) Prec@5 74.609 (72.463)
Epoch: [50][3170/5005] Time 0.208 (0.211) Data 0.063 (0.048) Loss 2.2875 (2.3187) Prec@1 48.828 (47.074) Prec@5 72.656 (72.458)
Epoch: [50][3180/5005] Time 0.205 (0.211) Data 0.058 (0.048) Loss 2.2278 (2.3188) Prec@1 51.172 (47.077) Prec@5 73.828 (72.454)
Epoch: [50][3190/5005] Time 0.209 (0.211) Data 0.048 (0.048) Loss 2.2705 (2.3188) Prec@1 51.172 (47.077) Prec@5 71.484 (72.455)
Epoch: [50][3200/5005] Time 0.209 (0.211) Data 0.048 (0.048) Loss 2.3560 (2.3187) Prec@1 46.094 (47.081) Prec@5 73.828 (72.457)
Epoch: [50][3210/5005] Time 0.211 (0.211) Data 0.047 (0.048) Loss 2.3946 (2.3188) Prec@1 46.875 (47.080) Prec@5 70.703 (72.457)
Epoch: [50][3220/5005] Time 0.210 (0.211) Data 0.042 (0.048) Loss 2.3821 (2.3189) Prec@1 47.656 (47.080) Prec@5 71.484 (72.457)
Epoch: [50][3230/5005] Time 0.214 (0.211) Data 0.044 (0.048) Loss 2.2692 (2.3186) Prec@1 48.828 (47.082) Prec@5 69.531 (72.459)
Epoch: [50][3240/5005] Time 0.211 (0.211) Data 0.047 (0.048) Loss 2.6292 (2.3189) Prec@1 42.188 (47.077) Prec@5 67.969 (72.454)
Epoch: [50][3250/5005] Time 0.201 (0.211) Data 0.048 (0.048) Loss 2.1709 (2.3190) Prec@1 47.656 (47.077) Prec@5 77.734 (72.458)
Epoch: [50][3260/5005] Time 0.211 (0.211) Data 0.044 (0.048) Loss 2.2271 (2.3189) Prec@1 48.828 (47.077) Prec@5 73.047 (72.461)
Epoch: [50][3270/5005] Time 0.204 (0.211) Data 0.042 (0.048) Loss 2.3674 (2.3187) Prec@1 47.656 (47.080) Prec@5 71.875 (72.464)
Epoch: [50][3280/5005] Time 0.214 (0.211) Data 0.045 (0.048) Loss 2.1354 (2.3188) Prec@1 51.172 (47.075) Prec@5 74.219 (72.461)
Epoch: [50][3290/5005] Time 0.212 (0.211) Data 0.043 (0.048) Loss 2.4365 (2.3187) Prec@1 45.703 (47.073) Prec@5 69.922 (72.462)
Epoch: [50][3300/5005] Time 0.213 (0.211) Data 0.044 (0.047) Loss 2.1206 (2.3186) Prec@1 48.828 (47.075) Prec@5 75.000 (72.465)
Epoch: [50][3310/5005] Time 0.214 (0.211) Data 0.041 (0.047) Loss 2.2069 (2.3184) Prec@1 50.391 (47.078) Prec@5 74.219 (72.469)
Epoch: [50][3320/5005] Time 0.223 (0.211) Data 0.041 (0.047) Loss 2.2800 (2.3183) Prec@1 50.000 (47.081) Prec@5 71.094 (72.470)
Epoch: [50][3330/5005] Time 0.214 (0.211) Data 0.044 (0.047) Loss 2.4017 (2.3183) Prec@1 46.484 (47.082) Prec@5 68.359 (72.469)
Epoch: [50][3340/5005] Time 0.212 (0.211) Data 0.044 (0.047) Loss 2.2298 (2.3182) Prec@1 50.000 (47.083) Prec@5 75.391 (72.473)
Epoch: [50][3350/5005] Time 0.213 (0.211) Data 0.046 (0.047) Loss 2.3100 (2.3181) Prec@1 50.391 (47.086) Prec@5 73.047 (72.473)
Epoch: [50][3360/5005] Time 0.211 (0.211) Data 0.044 (0.047) Loss 2.1755 (2.3181) Prec@1 49.609 (47.088) Prec@5 75.781 (72.472)
Epoch: [50][3370/5005] Time 0.206 (0.211) Data 0.044 (0.047) Loss 2.3599 (2.3181) Prec@1 43.750 (47.089) Prec@5 72.266 (72.471)
Epoch: [50][3380/5005] Time 0.211 (0.211) Data 0.044 (0.047) Loss 2.3216 (2.3180) Prec@1 46.875 (47.091) Prec@5 74.219 (72.472)
Epoch: [50][3390/5005] Time 0.208 (0.211) Data 0.043 (0.047) Loss 2.2855 (2.3180) Prec@1 47.656 (47.091) Prec@5 70.312 (72.469)
Epoch: [50][3400/5005] Time 0.204 (0.211) Data 0.053 (0.047) Loss 2.1755 (2.3180) Prec@1 46.484 (47.093) Prec@5 75.391 (72.467)
Epoch: [50][3410/5005] Time 0.207 (0.211) Data 0.048 (0.047) Loss 2.2415 (2.3177) Prec@1 50.000 (47.100) Prec@5 73.438 (72.470)
Epoch: [50][3420/5005] Time 0.212 (0.211) Data 0.043 (0.047) Loss 2.2351 (2.3176) Prec@1 49.219 (47.102) Prec@5 75.781 (72.473)
Epoch: [50][3430/5005] Time 0.216 (0.211) Data 0.044 (0.047) Loss 2.2567 (2.3175) Prec@1 44.531 (47.103) Prec@5 71.484 (72.476)
Epoch: [50][3440/5005] Time 0.209 (0.211) Data 0.042 (0.047) Loss 2.2813 (2.3174) Prec@1 46.484 (47.104) Prec@5 75.391 (72.481)
Epoch: [50][3450/5005] Time 0.212 (0.211) Data 0.043 (0.047) Loss 2.1928 (2.3172) Prec@1 50.391 (47.108) Prec@5 71.484 (72.483)
Epoch: [50][3460/5005] Time 0.201 (0.211) Data 0.049 (0.047) Loss 2.1888 (2.3172) Prec@1 50.391 (47.109) Prec@5 71.094 (72.487)
Epoch: [50][3470/5005] Time 0.211 (0.211) Data 0.044 (0.047) Loss 2.0813 (2.3168) Prec@1 51.953 (47.116) Prec@5 77.734 (72.493)
Epoch: [50][3480/5005] Time 0.217 (0.210) Data 0.044 (0.047) Loss 2.2610 (2.3165) Prec@1 44.141 (47.120) Prec@5 73.047 (72.497)
Epoch: [50][3490/5005] Time 0.205 (0.210) Data 0.043 (0.047) Loss 2.2956 (2.3164) Prec@1 41.797 (47.120) Prec@5 73.047 (72.499)
Epoch: [50][3500/5005] Time 0.205 (0.210) Data 0.049 (0.047) Loss 2.1115 (2.3164) Prec@1 51.172 (47.119) Prec@5 78.516 (72.498)
Epoch: [50][3510/5005] Time 0.205 (0.210) Data 0.047 (0.047) Loss 2.1768 (2.3162) Prec@1 46.484 (47.121) Prec@5 72.656 (72.502)
Epoch: [50][3520/5005] Time 0.212 (0.210) Data 0.043 (0.047) Loss 2.4530 (2.3161) Prec@1 49.609 (47.123) Prec@5 72.266 (72.504)
Epoch: [50][3530/5005] Time 0.213 (0.210) Data 0.051 (0.047) Loss 2.3565 (2.3159) Prec@1 44.531 (47.127) Prec@5 73.438 (72.506)
Epoch: [50][3540/5005] Time 0.215 (0.210) Data 0.043 (0.047) Loss 2.1770 (2.3158) Prec@1 47.266 (47.127) Prec@5 77.734 (72.508)
Epoch: [50][3550/5005] Time 0.207 (0.210) Data 0.058 (0.047) Loss 2.4624 (2.3158) Prec@1 42.188 (47.127) Prec@5 71.484 (72.509)
Epoch: [50][3560/5005] Time 0.203 (0.210) Data 0.043 (0.047) Loss 2.4308 (2.3156) Prec@1 45.703 (47.130) Prec@5 69.141 (72.511)
Epoch: [50][3570/5005] Time 0.202 (0.210) Data 0.040 (0.047) Loss 2.4042 (2.3156) Prec@1 47.266 (47.128) Prec@5 72.266 (72.509)
Epoch: [50][3580/5005] Time 0.194 (0.210) Data 0.057 (0.047) Loss 2.2395 (2.3157) Prec@1 48.828 (47.127) Prec@5 75.000 (72.507)
Epoch: [50][3590/5005] Time 0.199 (0.210) Data 0.043 (0.047) Loss 2.3676 (2.3154) Prec@1 46.094 (47.132) Prec@5 72.656 (72.514)
Epoch: [50][3600/5005] Time 0.209 (0.210) Data 0.046 (0.047) Loss 2.3114 (2.3152) Prec@1 48.438 (47.136) Prec@5 71.484 (72.514)
Epoch: [50][3610/5005] Time 0.203 (0.210) Data 0.047 (0.047) Loss 2.2215 (2.3152) Prec@1 50.391 (47.136) Prec@5 75.391 (72.513)
Epoch: [50][3620/5005] Time 0.209 (0.210) Data 0.042 (0.047) Loss 2.6047 (2.3150) Prec@1 39.453 (47.142) Prec@5 69.141 (72.515)
Epoch: [50][3630/5005] Time 0.209 (0.210) Data 0.043 (0.047) Loss 2.5163 (2.3149) Prec@1 46.484 (47.143) Prec@5 71.484 (72.518)
Epoch: [50][3640/5005] Time 0.211 (0.210) Data 0.041 (0.047) Loss 2.2723 (2.3148) Prec@1 44.922 (47.145) Prec@5 73.438 (72.519)
Epoch: [50][3650/5005] Time 0.206 (0.210) Data 0.046 (0.047) Loss 2.1005 (2.3146) Prec@1 50.391 (47.149) Prec@5 76.562 (72.523)
Epoch: [50][3660/5005] Time 0.212 (0.210) Data 0.052 (0.047) Loss 2.3177 (2.3144) Prec@1 48.047 (47.153) Prec@5 71.484 (72.528)
Epoch: [50][3670/5005] Time 0.206 (0.210) Data 0.047 (0.047) Loss 2.4305 (2.3145) Prec@1 46.484 (47.150) Prec@5 71.484 (72.526)
Epoch: [50][3680/5005] Time 0.212 (0.210) Data 0.042 (0.047) Loss 2.1072 (2.3146) Prec@1 50.781 (47.151) Prec@5 77.734 (72.527)
Epoch: [50][3690/5005] Time 0.215 (0.210) Data 0.047 (0.047) Loss 2.1061 (2.3146) Prec@1 47.656 (47.150) Prec@5 78.125 (72.527)
Epoch: [50][3700/5005] Time 0.205 (0.210) Data 0.042 (0.047) Loss 2.3279 (2.3145) Prec@1 48.047 (47.151) Prec@5 71.484 (72.527)
Epoch: [50][3710/5005] Time 0.206 (0.210) Data 0.042 (0.047) Loss 2.1682 (2.3145) Prec@1 51.562 (47.152) Prec@5 76.172 (72.529)
Epoch: [50][3720/5005] Time 0.214 (0.210) Data 0.044 (0.047) Loss 2.5512 (2.3145) Prec@1 42.969 (47.153) Prec@5 67.578 (72.530)
Epoch: [50][3730/5005] Time 0.215 (0.210) Data 0.044 (0.047) Loss 2.1230 (2.3143) Prec@1 52.734 (47.154) Prec@5 76.953 (72.531)
Epoch: [50][3740/5005] Time 0.212 (0.210) Data 0.045 (0.047) Loss 2.2604 (2.3140) Prec@1 46.484 (47.156) Prec@5 72.266 (72.535)
Epoch: [50][3750/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.1861 (2.3140) Prec@1 46.484 (47.153) Prec@5 73.828 (72.535)
Epoch: [50][3760/5005] Time 0.206 (0.210) Data 0.043 (0.047) Loss 2.3174 (2.3141) Prec@1 45.703 (47.148) Prec@5 71.094 (72.533)
Epoch: [50][3770/5005] Time 0.212 (0.210) Data 0.046 (0.047) Loss 2.4229 (2.3140) Prec@1 47.266 (47.152) Prec@5 70.312 (72.535)
Epoch: [50][3780/5005] Time 0.208 (0.210) Data 0.046 (0.047) Loss 2.2870 (2.3139) Prec@1 46.484 (47.155) Prec@5 70.703 (72.536)
Epoch: [50][3790/5005] Time 0.203 (0.210) Data 0.045 (0.047) Loss 2.4242 (2.3138) Prec@1 47.656 (47.158) Prec@5 69.922 (72.537)
Epoch: [50][3800/5005] Time 0.215 (0.210) Data 0.054 (0.047) Loss 2.2056 (2.3140) Prec@1 48.047 (47.157) Prec@5 73.828 (72.533)
Epoch: [50][3810/5005] Time 0.205 (0.210) Data 0.048 (0.047) Loss 2.3066 (2.3140) Prec@1 47.266 (47.155) Prec@5 69.922 (72.530)
Epoch: [50][3820/5005] Time 0.206 (0.210) Data 0.059 (0.048) Loss 2.2258 (2.3139) Prec@1 49.609 (47.157) Prec@5 77.344 (72.537)
Epoch: [50][3830/5005] Time 0.216 (0.210) Data 0.041 (0.047) Loss 2.3141 (2.3137) Prec@1 46.875 (47.161) Prec@5 71.875 (72.540)
Epoch: [50][3840/5005] Time 0.202 (0.210) Data 0.062 (0.047) Loss 2.5383 (2.3138) Prec@1 41.797 (47.158) Prec@5 67.969 (72.541)
Epoch: [50][3850/5005] Time 0.203 (0.210) Data 0.051 (0.047) Loss 2.2727 (2.3137) Prec@1 47.266 (47.156) Prec@5 72.656 (72.543)
Epoch: [50][3860/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.1664 (2.3136) Prec@1 49.609 (47.160) Prec@5 76.562 (72.545)
Epoch: [50][3870/5005] Time 0.200 (0.210) Data 0.043 (0.047) Loss 2.1606 (2.3136) Prec@1 45.703 (47.158) Prec@5 78.125 (72.547)
Epoch: [50][3880/5005] Time 0.207 (0.210) Data 0.042 (0.047) Loss 2.1990 (2.3135) Prec@1 53.906 (47.162) Prec@5 75.391 (72.548)
Epoch: [50][3890/5005] Time 0.207 (0.210) Data 0.046 (0.047) Loss 2.4904 (2.3135) Prec@1 41.406 (47.163) Prec@5 69.922 (72.551)
Epoch: [50][3900/5005] Time 0.203 (0.210) Data 0.042 (0.047) Loss 2.6615 (2.3135) Prec@1 41.016 (47.165) Prec@5 70.312 (72.552)
Epoch: [50][3910/5005] Time 0.208 (0.210) Data 0.064 (0.047) Loss 2.3311 (2.3135) Prec@1 42.578 (47.166) Prec@5 74.219 (72.550)
Epoch: [50][3920/5005] Time 0.220 (0.210) Data 0.047 (0.047) Loss 2.2257 (2.3134) Prec@1 50.781 (47.169) Prec@5 73.047 (72.550)
Epoch: [50][3930/5005] Time 0.210 (0.210) Data 0.045 (0.047) Loss 2.2536 (2.3131) Prec@1 48.438 (47.174) Prec@5 71.875 (72.557)
Epoch: [50][3940/5005] Time 0.223 (0.210) Data 0.043 (0.047) Loss 2.2414 (2.3130) Prec@1 49.609 (47.175) Prec@5 71.484 (72.558)
Epoch: [50][3950/5005] Time 0.203 (0.210) Data 0.045 (0.047) Loss 2.2276 (2.3128) Prec@1 47.656 (47.177) Prec@5 73.828 (72.562)
Epoch: [50][3960/5005] Time 0.206 (0.210) Data 0.043 (0.047) Loss 2.2670 (2.3128) Prec@1 50.391 (47.177) Prec@5 74.609 (72.564)
Epoch: [50][3970/5005] Time 0.197 (0.210) Data 0.047 (0.047) Loss 2.2533 (2.3126) Prec@1 48.828 (47.180) Prec@5 71.484 (72.565)
Epoch: [50][3980/5005] Time 0.212 (0.210) Data 0.047 (0.047) Loss 2.2181 (2.3125) Prec@1 52.734 (47.183) Prec@5 71.875 (72.565)
Epoch: [50][3990/5005] Time 0.213 (0.210) Data 0.042 (0.047) Loss 2.3264 (2.3125) Prec@1 47.266 (47.181) Prec@5 74.219 (72.566)
Epoch: [50][4000/5005] Time 0.213 (0.210) Data 0.042 (0.047) Loss 2.1888 (2.3124) Prec@1 48.828 (47.181) Prec@5 74.609 (72.568)
Epoch: [50][4010/5005] Time 0.206 (0.210) Data 0.049 (0.047) Loss 2.4245 (2.3122) Prec@1 42.188 (47.183) Prec@5 71.484 (72.575)
Epoch: [50][4020/5005] Time 0.213 (0.210) Data 0.040 (0.047) Loss 2.4067 (2.3121) Prec@1 46.484 (47.184) Prec@5 69.531 (72.575)
Epoch: [50][4030/5005] Time 0.201 (0.210) Data 0.058 (0.047) Loss 2.4339 (2.3123) Prec@1 46.094 (47.184) Prec@5 70.312 (72.572)
Epoch: [50][4040/5005] Time 0.208 (0.210) Data 0.048 (0.047) Loss 2.3212 (2.3124) Prec@1 47.656 (47.185) Prec@5 69.922 (72.570)
Epoch: [50][4050/5005] Time 0.211 (0.210) Data 0.045 (0.047) Loss 2.4340 (2.3123) Prec@1 41.797 (47.188) Prec@5 69.922 (72.572)
Epoch: [50][4060/5005] Time 0.205 (0.210) Data 0.050 (0.047) Loss 2.4114 (2.3122) Prec@1 48.047 (47.190) Prec@5 67.969 (72.573)
Epoch: [50][4070/5005] Time 0.209 (0.210) Data 0.041 (0.047) Loss 2.4874 (2.3121) Prec@1 44.922 (47.190) Prec@5 73.047 (72.574)
Epoch: [50][4080/5005] Time 0.207 (0.210) Data 0.042 (0.047) Loss 2.2339 (2.3121) Prec@1 47.266 (47.191) Prec@5 73.828 (72.574)
Epoch: [50][4090/5005] Time 0.211 (0.210) Data 0.044 (0.047) Loss 2.3904 (2.3121) Prec@1 46.094 (47.194) Prec@5 69.922 (72.575)
Epoch: [50][4100/5005] Time 0.202 (0.210) Data 0.049 (0.048) Loss 2.2640 (2.3120) Prec@1 48.047 (47.193) Prec@5 71.484 (72.577)
Epoch: [50][4110/5005] Time 0.201 (0.210) Data 0.048 (0.048) Loss 2.4413 (2.3118) Prec@1 44.922 (47.194) Prec@5 71.094 (72.583)
Epoch: [50][4120/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.4162 (2.3118) Prec@1 48.438 (47.196) Prec@5 70.703 (72.583)
Epoch: [50][4130/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.4024 (2.3116) Prec@1 45.312 (47.200) Prec@5 71.875 (72.585)
Epoch: [50][4140/5005] Time 0.210 (0.210) Data 0.046 (0.048) Loss 2.4782 (2.3116) Prec@1 45.703 (47.202) Prec@5 70.703 (72.585)
Epoch: [50][4150/5005] Time 0.209 (0.210) Data 0.044 (0.047) Loss 2.4622 (2.3115) Prec@1 47.266 (47.205) Prec@5 72.656 (72.585)
Epoch: [50][4160/5005] Time 0.212 (0.210) Data 0.044 (0.047) Loss 2.2026 (2.3116) Prec@1 51.953 (47.207) Prec@5 77.344 (72.586)
Epoch: [50][4170/5005] Time 0.208 (0.210) Data 0.049 (0.047) Loss 2.1511 (2.3113) Prec@1 47.266 (47.214) Prec@5 77.734 (72.591)
Epoch: [50][4180/5005] Time 0.197 (0.210) Data 0.048 (0.047) Loss 2.1559 (2.3111) Prec@1 50.391 (47.216) Prec@5 73.828 (72.592)
Epoch: [50][4190/5005] Time 0.198 (0.210) Data 0.048 (0.047) Loss 2.1962 (2.3111) Prec@1 46.094 (47.216) Prec@5 73.828 (72.591)
Epoch: [50][4200/5005] Time 0.206 (0.210) Data 0.044 (0.047) Loss 2.1589 (2.3110) Prec@1 48.047 (47.215) Prec@5 75.391 (72.594)
Epoch: [50][4210/5005] Time 0.211 (0.210) Data 0.043 (0.047) Loss 2.1081 (2.3109) Prec@1 51.172 (47.220) Prec@5 76.562 (72.598)
Epoch: [50][4220/5005] Time 0.193 (0.210) Data 0.048 (0.047) Loss 2.3438 (2.3110) Prec@1 45.312 (47.218) Prec@5 73.438 (72.598)
Epoch: [50][4230/5005] Time 0.192 (0.210) Data 0.046 (0.047) Loss 2.4049 (2.3109) Prec@1 46.484 (47.217) Prec@5 73.047 (72.597)
Epoch: [50][4240/5005] Time 0.210 (0.210) Data 0.046 (0.047) Loss 2.1815 (2.3109) Prec@1 49.609 (47.217) Prec@5 75.000 (72.598)
Epoch: [50][4250/5005] Time 0.209 (0.210) Data 0.045 (0.047) Loss 2.0733 (2.3106) Prec@1 52.734 (47.220) Prec@5 74.609 (72.602)
Epoch: [50][4260/5005] Time 0.220 (0.210) Data 0.042 (0.047) Loss 2.2047 (2.3105) Prec@1 46.484 (47.225) Prec@5 74.219 (72.605)
Epoch: [50][4270/5005] Time 0.204 (0.210) Data 0.042 (0.047) Loss 2.4531 (2.3105) Prec@1 44.141 (47.226) Prec@5 73.047 (72.602)
Epoch: [50][4280/5005] Time 0.202 (0.210) Data 0.051 (0.047) Loss 2.3517 (2.3105) Prec@1 42.578 (47.224) Prec@5 71.875 (72.603)
Epoch: [50][4290/5005] Time 0.216 (0.210) Data 0.043 (0.047) Loss 2.4245 (2.3104) Prec@1 46.484 (47.226) Prec@5 70.312 (72.603)
Epoch: [50][4300/5005] Time 0.203 (0.210) Data 0.045 (0.047) Loss 2.1455 (2.3103) Prec@1 52.344 (47.230) Prec@5 76.562 (72.607)
Epoch: [50][4310/5005] Time 0.215 (0.210) Data 0.049 (0.047) Loss 2.1343 (2.3102) Prec@1 49.609 (47.232) Prec@5 73.047 (72.608)
Epoch: [50][4320/5005] Time 0.212 (0.210) Data 0.043 (0.047) Loss 2.3685 (2.3102) Prec@1 45.312 (47.231) Prec@5 72.656 (72.608)
Epoch: [50][4330/5005] Time 0.208 (0.210) Data 0.045 (0.047) Loss 2.1503 (2.3101) Prec@1 48.828 (47.232) Prec@5 71.875 (72.608)
Epoch: [50][4340/5005] Time 0.207 (0.210) Data 0.045 (0.047) Loss 2.2517 (2.3102) Prec@1 45.703 (47.230) Prec@5 73.047 (72.606)
Epoch: [50][4350/5005] Time 0.205 (0.210) Data 0.051 (0.047) Loss 2.4380 (2.3100) Prec@1 49.219 (47.236) Prec@5 70.312 (72.609)
Epoch: [50][4360/5005] Time 0.209 (0.210) Data 0.048 (0.047) Loss 2.3111 (2.3098) Prec@1 42.969 (47.238) Prec@5 72.266 (72.612)
Epoch: [50][4370/5005] Time 0.208 (0.210) Data 0.049 (0.047) Loss 2.3302 (2.3098) Prec@1 45.312 (47.238) Prec@5 69.922 (72.611)
Epoch: [50][4380/5005] Time 0.210 (0.210) Data 0.042 (0.047) Loss 2.2566 (2.3097) Prec@1 48.438 (47.239) Prec@5 71.875 (72.613)
Epoch: [50][4390/5005] Time 0.203 (0.210) Data 0.044 (0.047) Loss 2.3286 (2.3095) Prec@1 47.656 (47.242) Prec@5 72.656 (72.615)
Epoch: [50][4400/5005] Time 0.207 (0.210) Data 0.044 (0.047) Loss 2.1744 (2.3094) Prec@1 48.047 (47.243) Prec@5 76.953 (72.616)
Epoch: [50][4410/5005] Time 0.214 (0.210) Data 0.043 (0.047) Loss 2.3717 (2.3094) Prec@1 45.312 (47.242) Prec@5 72.266 (72.617)
Epoch: [50][4420/5005] Time 0.212 (0.210) Data 0.050 (0.047) Loss 1.8936 (2.3091) Prec@1 56.641 (47.247) Prec@5 78.906 (72.621)
Epoch: [50][4430/5005] Time 0.204 (0.210) Data 0.047 (0.047) Loss 2.3351 (2.3089) Prec@1 48.438 (47.250) Prec@5 73.047 (72.624)
Epoch: [50][4440/5005] Time 0.210 (0.210) Data 0.042 (0.047) Loss 2.4495 (2.3089) Prec@1 46.484 (47.251) Prec@5 67.188 (72.624)
Epoch: [50][4450/5005] Time 0.206 (0.210) Data 0.045 (0.047) Loss 2.2524 (2.3088) Prec@1 48.047 (47.254) Prec@5 74.219 (72.626)
Epoch: [50][4460/5005] Time 0.204 (0.210) Data 0.041 (0.047) Loss 2.4164 (2.3086) Prec@1 43.750 (47.256) Prec@5 69.531 (72.628)
Epoch: [50][4470/5005] Time 0.213 (0.210) Data 0.048 (0.047) Loss 2.2142 (2.3087) Prec@1 46.484 (47.254) Prec@5 74.609 (72.629)
Epoch: [50][4480/5005] Time 0.196 (0.210) Data 0.058 (0.047) Loss 2.1846 (2.3088) Prec@1 49.219 (47.250) Prec@5 74.219 (72.627)
Epoch: [50][4490/5005] Time 0.210 (0.210) Data 0.047 (0.047) Loss 2.3245 (2.3089) Prec@1 46.484 (47.250) Prec@5 75.000 (72.625)
Epoch: [50][4500/5005] Time 0.201 (0.210) Data 0.045 (0.047) Loss 2.2287 (2.3088) Prec@1 49.609 (47.253) Prec@5 74.219 (72.627)
Epoch: [50][4510/5005] Time 0.216 (0.210) Data 0.046 (0.047) Loss 2.0753 (2.3087) Prec@1 51.172 (47.253) Prec@5 78.125 (72.628)
Epoch: [50][4520/5005] Time 0.202 (0.210) Data 0.052 (0.047) Loss 2.2421 (2.3085) Prec@1 51.562 (47.258) Prec@5 73.438 (72.632)
Epoch: [50][4530/5005] Time 0.209 (0.210) Data 0.045 (0.047) Loss 2.1500 (2.3084) Prec@1 52.344 (47.261) Prec@5 76.172 (72.633)
Epoch: [50][4540/5005] Time 0.203 (0.210) Data 0.044 (0.047) Loss 2.3219 (2.3084) Prec@1 48.047 (47.261) Prec@5 73.828 (72.634)
Epoch: [50][4550/5005] Time 0.207 (0.210) Data 0.043 (0.047) Loss 2.2977 (2.3083) Prec@1 49.609 (47.261) Prec@5 73.438 (72.635)
Epoch: [50][4560/5005] Time 0.211 (0.210) Data 0.058 (0.047) Loss 2.2938 (2.3083) Prec@1 46.094 (47.263) Prec@5 72.656 (72.634)
Epoch: [50][4570/5005] Time 0.206 (0.210) Data 0.059 (0.047) Loss 2.2963 (2.3081) Prec@1 49.609 (47.266) Prec@5 73.047 (72.636)
Epoch: [50][4580/5005] Time 0.200 (0.210) Data 0.059 (0.047) Loss 2.3473 (2.3080) Prec@1 44.141 (47.267) Prec@5 71.484 (72.638)
Epoch: [50][4590/5005] Time 0.192 (0.210) Data 0.057 (0.048) Loss 2.1249 (2.3081) Prec@1 53.516 (47.266) Prec@5 76.172 (72.638)
Epoch: [50][4600/5005] Time 0.204 (0.210) Data 0.060 (0.048) Loss 2.0571 (2.3080) Prec@1 54.688 (47.268) Prec@5 76.953 (72.638)
Epoch: [50][4610/5005] Time 0.214 (0.210) Data 0.043 (0.048) Loss 2.1175 (2.3079) Prec@1 48.438 (47.270) Prec@5 76.953 (72.638)
Epoch: [50][4620/5005] Time 0.205 (0.210) Data 0.049 (0.048) Loss 2.2127 (2.3079) Prec@1 50.781 (47.270) Prec@5 70.703 (72.637)
Epoch: [50][4630/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.0809 (2.3077) Prec@1 51.172 (47.275) Prec@5 78.906 (72.640)
Epoch: [50][4640/5005] Time 0.209 (0.210) Data 0.044 (0.047) Loss 2.2210 (2.3076) Prec@1 49.609 (47.279) Prec@5 73.438 (72.642)
Epoch: [50][4650/5005] Time 0.212 (0.210) Data 0.042 (0.047) Loss 2.2560 (2.3075) Prec@1 44.531 (47.280) Prec@5 71.094 (72.642)
Epoch: [50][4660/5005] Time 0.214 (0.210) Data 0.043 (0.047) Loss 2.5079 (2.3074) Prec@1 44.531 (47.280) Prec@5 66.406 (72.642)
Epoch: [50][4670/5005] Time 0.201 (0.210) Data 0.050 (0.047) Loss 2.1418 (2.3072) Prec@1 49.219 (47.286) Prec@5 76.953 (72.646)
Epoch: [50][4680/5005] Time 0.211 (0.210) Data 0.043 (0.047) Loss 2.1631 (2.3071) Prec@1 46.484 (47.287) Prec@5 74.609 (72.647)
Epoch: [50][4690/5005] Time 0.209 (0.210) Data 0.056 (0.047) Loss 2.2380 (2.3070) Prec@1 49.609 (47.291) Prec@5 72.656 (72.647)
Epoch: [50][4700/5005] Time 0.206 (0.210) Data 0.047 (0.047) Loss 2.2375 (2.3069) Prec@1 45.312 (47.296) Prec@5 75.000 (72.652)
Epoch: [50][4710/5005] Time 0.211 (0.210) Data 0.046 (0.047) Loss 2.1553 (2.3067) Prec@1 52.344 (47.298) Prec@5 75.391 (72.655)
Epoch: [50][4720/5005] Time 0.212 (0.210) Data 0.045 (0.047) Loss 2.2124 (2.3066) Prec@1 48.438 (47.298) Prec@5 73.828 (72.656)
Epoch: [50][4730/5005] Time 0.211 (0.210) Data 0.043 (0.047) Loss 2.3007 (2.3066) Prec@1 49.219 (47.298) Prec@5 73.828 (72.656)
Epoch: [50][4740/5005] Time 0.208 (0.210) Data 0.042 (0.047) Loss 2.2584 (2.3065) Prec@1 46.094 (47.301) Prec@5 73.438 (72.657)
Epoch: [50][4750/5005] Time 0.206 (0.210) Data 0.047 (0.047) Loss 2.1927 (2.3064) Prec@1 51.172 (47.304) Prec@5 74.219 (72.659)
Epoch: [50][4760/5005] Time 0.203 (0.210) Data 0.043 (0.047) Loss 2.5038 (2.3062) Prec@1 41.797 (47.304) Prec@5 72.656 (72.663)
Epoch: [50][4770/5005] Time 0.199 (0.210) Data 0.046 (0.047) Loss 2.1222 (2.3061) Prec@1 49.219 (47.306) Prec@5 76.562 (72.666)
Epoch: [50][4780/5005] Time 0.201 (0.210) Data 0.042 (0.047) Loss 2.1881 (2.3060) Prec@1 48.828 (47.308) Prec@5 75.391 (72.669)
Epoch: [50][4790/5005] Time 0.206 (0.210) Data 0.057 (0.047) Loss 2.5739 (2.3060) Prec@1 45.703 (47.309) Prec@5 69.531 (72.670)
Epoch: [50][4800/5005] Time 0.212 (0.210) Data 0.046 (0.047) Loss 2.3316 (2.3059) Prec@1 44.922 (47.309) Prec@5 74.219 (72.673)
Epoch: [50][4810/5005] Time 0.205 (0.210) Data 0.057 (0.047) Loss 2.4792 (2.3058) Prec@1 44.531 (47.309) Prec@5 70.703 (72.675)
Epoch: [50][4820/5005] Time 0.209 (0.210) Data 0.049 (0.047) Loss 2.5510 (2.3056) Prec@1 43.359 (47.313) Prec@5 67.969 (72.677)
Epoch: [50][4830/5005] Time 0.208 (0.210) Data 0.046 (0.047) Loss 2.3148 (2.3054) Prec@1 45.703 (47.316) Prec@5 71.875 (72.680)
Epoch: [50][4840/5005] Time 0.215 (0.210) Data 0.043 (0.047) Loss 2.0323 (2.3054) Prec@1 53.906 (47.316) Prec@5 76.953 (72.680)
Epoch: [50][4850/5005] Time 0.200 (0.210) Data 0.050 (0.047) Loss 2.2139 (2.3055) Prec@1 48.047 (47.315) Prec@5 76.172 (72.680)
Epoch: [50][4860/5005] Time 0.193 (0.210) Data 0.048 (0.047) Loss 2.2791 (2.3053) Prec@1 45.703 (47.318) Prec@5 75.000 (72.682)
Epoch: [50][4870/5005] Time 0.208 (0.210) Data 0.046 (0.047) Loss 2.2520 (2.3053) Prec@1 51.172 (47.320) Prec@5 72.266 (72.681)
Epoch: [50][4880/5005] Time 0.201 (0.210) Data 0.042 (0.047) Loss 2.1039 (2.3052) Prec@1 51.562 (47.321) Prec@5 73.828 (72.681)
Epoch: [50][4890/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.4182 (2.3051) Prec@1 45.312 (47.322) Prec@5 70.312 (72.681)
Epoch: [50][4900/5005] Time 0.214 (0.210) Data 0.054 (0.048) Loss 2.1221 (2.3050) Prec@1 47.656 (47.324) Prec@5 75.391 (72.684)
Epoch: [50][4910/5005] Time 0.200 (0.210) Data 0.049 (0.048) Loss 2.2463 (2.3048) Prec@1 49.219 (47.327) Prec@5 73.047 (72.687)
Epoch: [50][4920/5005] Time 0.200 (0.210) Data 0.041 (0.048) Loss 2.2694 (2.3047) Prec@1 42.969 (47.328) Prec@5 74.219 (72.689)
Epoch: [50][4930/5005] Time 0.202 (0.210) Data 0.050 (0.048) Loss 2.4094 (2.3045) Prec@1 44.922 (47.330) Prec@5 70.703 (72.693)
Epoch: [50][4940/5005] Time 0.204 (0.210) Data 0.045 (0.048) Loss 2.3047 (2.3045) Prec@1 47.266 (47.331) Prec@5 73.438 (72.693)
Epoch: [50][4950/5005] Time 0.198 (0.210) Data 0.050 (0.048) Loss 1.9392 (2.3045) Prec@1 52.344 (47.330) Prec@5 80.078 (72.692)
Epoch: [50][4960/5005] Time 0.197 (0.210) Data 0.063 (0.048) Loss 2.4041 (2.3044) Prec@1 50.000 (47.332) Prec@5 71.484 (72.694)
Epoch: [50][4970/5005] Time 0.209 (0.210) Data 0.047 (0.048) Loss 2.4562 (2.3042) Prec@1 43.359 (47.335) Prec@5 71.094 (72.698)
Epoch: [50][4980/5005] Time 0.206 (0.210) Data 0.057 (0.048) Loss 2.2111 (2.3040) Prec@1 48.438 (47.338) Prec@5 75.391 (72.701)
Epoch: [50][4990/5005] Time 0.195 (0.210) Data 0.023 (0.048) Loss 2.4509 (2.3039) Prec@1 44.531 (47.344) Prec@5 69.531 (72.701)
Epoch: [50][5000/5005] Time 0.204 (0.210) Data 0.022 (0.047) Loss 2.4559 (2.3039) Prec@1 44.531 (47.343) Prec@5 71.875 (72.701)
Test: [0/196] Time 1.467 (1.467) Loss 2.4377 (2.4377) Prec@1 48.438 (48.438) Prec@5 68.750 (68.750)
Test: [10/196] Time 0.044 (0.330) Loss 2.5007 (2.5924) Prec@1 45.703 (43.359) Prec@5 68.750 (68.324)
Test: [20/196] Time 0.043 (0.249) Loss 2.5007 (2.5935) Prec@1 43.750 (43.080) Prec@5 70.703 (68.955)
Test: [30/196] Time 0.043 (0.215) Loss 2.4452 (2.5985) Prec@1 46.484 (42.956) Prec@5 71.094 (68.687)
Test: [40/196] Time 0.044 (0.202) Loss 2.3109 (2.5866) Prec@1 51.172 (43.388) Prec@5 74.219 (68.883)
Test: [50/196] Time 0.098 (0.203) Loss 2.6860 (2.5909) Prec@1 43.750 (43.344) Prec@5 69.141 (68.834)
Test: [60/196] Time 0.046 (0.194) Loss 2.5251 (2.5778) Prec@1 47.656 (43.667) Prec@5 68.750 (69.089)
Test: [70/196] Time 0.046 (0.192) Loss 2.5331 (2.5712) Prec@1 46.875 (43.700) Prec@5 66.797 (69.108)
Test: [80/196] Time 0.043 (0.195) Loss 2.3850 (2.5757) Prec@1 50.781 (43.760) Prec@5 78.125 (69.088)
Test: [90/196] Time 0.044 (0.191) Loss 2.6998 (2.5803) Prec@1 41.797 (43.673) Prec@5 67.578 (69.008)
Test: [100/196] Time 0.045 (0.184) Loss 2.5540 (2.5758) Prec@1 46.094 (43.835) Prec@5 69.922 (69.075)
Test: [110/196] Time 0.144 (0.186) Loss 2.7922 (2.5772) Prec@1 41.406 (43.905) Prec@5 66.797 (69.056)
Test: [120/196] Time 0.044 (0.185) Loss 2.3901 (2.5734) Prec@1 46.484 (44.031) Prec@5 74.219 (69.121)
Test: [130/196] Time 0.043 (0.184) Loss 2.2583 (2.5713) Prec@1 48.438 (44.108) Prec@5 75.391 (69.159)
Test: [140/196] Time 0.450 (0.185) Loss 2.3737 (2.5726) Prec@1 46.484 (44.046) Prec@5 70.703 (69.102)
Test: [150/196] Time 0.050 (0.184) Loss 2.2169 (2.5711) Prec@1 48.438 (44.055) Prec@5 76.953 (69.185)
Test: [160/196] Time 0.044 (0.183) Loss 2.5299 (2.5691) Prec@1 47.656 (44.082) Prec@5 67.188 (69.187)
Test: [170/196] Time 0.174 (0.181) Loss 2.4243 (2.5708) Prec@1 46.875 (44.088) Prec@5 71.875 (69.161)
Test: [180/196] Time 0.622 (0.182) Loss 2.7356 (2.5758) Prec@1 38.672 (43.996) Prec@5 65.625 (69.022)
Test: [190/196] Time 0.046 (0.181) Loss 2.8183 (2.5799) Prec@1 42.188 (43.920) Prec@5 65.625 (68.895)
* Prec@1 43.918 Prec@5 68.890
Learning rate: 1e-05
Epoch: [51][0/5005] Time 1.044 (1.044) Data 0.923 (0.923) Loss 2.2440 (2.2440) Prec@1 48.828 (48.828) Prec@5 74.219 (74.219)
Epoch: [51][10/5005] Time 0.209 (0.280) Data 0.044 (0.128) Loss 2.2346 (2.3209) Prec@1 50.391 (46.911) Prec@5 72.266 (73.544)
Epoch: [51][20/5005] Time 0.204 (0.243) Data 0.044 (0.089) Loss 2.4861 (2.3360) Prec@1 44.531 (47.061) Prec@5 71.094 (73.028)
Epoch: [51][30/5005] Time 0.211 (0.231) Data 0.043 (0.075) Loss 2.2794 (2.3020) Prec@1 49.219 (47.429) Prec@5 74.219 (73.059)
Epoch: [51][40/5005] Time 0.212 (0.224) Data 0.044 (0.068) Loss 2.2434 (2.3182) Prec@1 49.609 (47.142) Prec@5 73.438 (72.732)
Epoch: [51][50/5005] Time 0.208 (0.220) Data 0.045 (0.063) Loss 2.2125 (2.3138) Prec@1 47.266 (47.082) Prec@5 75.781 (72.786)
Epoch: [51][60/5005] Time 0.200 (0.218) Data 0.041 (0.060) Loss 2.3219 (2.3198) Prec@1 42.578 (46.913) Prec@5 75.391 (72.848)
Epoch: [51][70/5005] Time 0.204 (0.216) Data 0.042 (0.058) Loss 2.3586 (2.3288) Prec@1 46.094 (46.770) Prec@5 68.750 (72.706)
Epoch: [51][80/5005] Time 0.203 (0.214) Data 0.044 (0.057) Loss 2.2663 (2.3202) Prec@1 49.609 (47.024) Prec@5 75.391 (72.854)
Epoch: [51][90/5005] Time 0.200 (0.213) Data 0.050 (0.056) Loss 2.2354 (2.3195) Prec@1 52.734 (47.206) Prec@5 72.656 (72.785)
Epoch: [51][100/5005] Time 0.203 (0.212) Data 0.042 (0.055) Loss 1.9938 (2.3216) Prec@1 49.219 (47.107) Prec@5 77.344 (72.726)
Epoch: [51][110/5005] Time 0.201 (0.211) Data 0.050 (0.054) Loss 2.3325 (2.3246) Prec@1 49.219 (47.273) Prec@5 72.656 (72.688)
Epoch: [51][120/5005] Time 0.186 (0.210) Data 0.047 (0.054) Loss 2.4889 (2.3268) Prec@1 41.016 (47.275) Prec@5 69.922 (72.685)
Epoch: [51][130/5005] Time 0.192 (0.209) Data 0.045 (0.053) Loss 2.3447 (2.3255) Prec@1 46.875 (47.284) Prec@5 71.875 (72.746)
Epoch: [51][140/5005] Time 0.197 (0.209) Data 0.043 (0.053) Loss 2.3203 (2.3240) Prec@1 44.141 (47.169) Prec@5 72.266 (72.748)
Epoch: [51][150/5005] Time 0.204 (0.209) Data 0.059 (0.052) Loss 2.4246 (2.3248) Prec@1 40.625 (47.123) Prec@5 69.531 (72.692)
Epoch: [51][160/5005] Time 0.211 (0.209) Data 0.041 (0.052) Loss 2.1795 (2.3254) Prec@1 48.047 (47.096) Prec@5 71.094 (72.656)
Epoch: [51][170/5005] Time 0.215 (0.209) Data 0.044 (0.052) Loss 2.3827 (2.3235) Prec@1 48.828 (47.101) Prec@5 71.094 (72.640)
Epoch: [51][180/5005] Time 0.225 (0.209) Data 0.043 (0.052) Loss 2.4959 (2.3214) Prec@1 46.875 (47.149) Prec@5 69.922 (72.686)
Epoch: [51][190/5005] Time 0.222 (0.210) Data 0.045 (0.052) Loss 2.5379 (2.3270) Prec@1 44.531 (47.059) Prec@5 69.922 (72.595)
Epoch: [51][200/5005] Time 0.224 (0.210) Data 0.063 (0.052) Loss 2.4952 (2.3294) Prec@1 45.312 (47.044) Prec@5 68.750 (72.516)
Epoch: [51][210/5005] Time 0.214 (0.211) Data 0.046 (0.052) Loss 2.2381 (2.3306) Prec@1 48.828 (47.006) Prec@5 71.484 (72.501)
Epoch: [51][220/5005] Time 0.220 (0.211) Data 0.044 (0.052) Loss 2.3067 (2.3313) Prec@1 46.094 (47.008) Prec@5 71.484 (72.488)
Epoch: [51][230/5005] Time 0.222 (0.212) Data 0.044 (0.052) Loss 2.4268 (2.3296) Prec@1 42.188 (47.059) Prec@5 68.750 (72.514)
Epoch: [51][240/5005] Time 0.212 (0.212) Data 0.049 (0.051) Loss 2.1301 (2.3292) Prec@1 50.781 (47.050) Prec@5 75.391 (72.488)
Epoch: [51][250/5005] Time 0.220 (0.212) Data 0.042 (0.051) Loss 2.2141 (2.3265) Prec@1 50.000 (47.113) Prec@5 74.219 (72.560)
Epoch: [51][260/5005] Time 0.216 (0.212) Data 0.045 (0.051) Loss 2.1743 (2.3268) Prec@1 50.000 (47.122) Prec@5 71.094 (72.528)
Epoch: [51][270/5005] Time 0.220 (0.212) Data 0.043 (0.051) Loss 2.3647 (2.3256) Prec@1 46.875 (47.163) Prec@5 72.656 (72.525)
Epoch: [51][280/5005] Time 0.213 (0.212) Data 0.042 (0.051) Loss 2.7591 (2.3291) Prec@1 42.188 (47.115) Prec@5 64.844 (72.466)
Epoch: [51][290/5005] Time 0.216 (0.213) Data 0.044 (0.050) Loss 2.2889 (2.3301) Prec@1 50.000 (47.102) Prec@5 71.875 (72.443)
Epoch: [51][300/5005] Time 0.215 (0.213) Data 0.044 (0.050) Loss 2.1929 (2.3306) Prec@1 48.828 (47.110) Prec@5 74.609 (72.437)
Epoch: [51][310/5005] Time 0.216 (0.213) Data 0.043 (0.050) Loss 2.2684 (2.3283) Prec@1 45.703 (47.121) Prec@5 73.047 (72.482)
Epoch: [51][320/5005] Time 0.217 (0.213) Data 0.044 (0.050) Loss 2.5434 (2.3288) Prec@1 43.750 (47.116) Prec@5 67.578 (72.474)
Epoch: [51][330/5005] Time 0.218 (0.213) Data 0.042 (0.050) Loss 2.0439 (2.3268) Prec@1 53.516 (47.130) Prec@5 77.344 (72.513)
Epoch: [51][340/5005] Time 0.210 (0.213) Data 0.058 (0.050) Loss 2.3211 (2.3299) Prec@1 48.828 (47.117) Prec@5 75.391 (72.450)
Epoch: [51][350/5005] Time 0.207 (0.213) Data 0.056 (0.050) Loss 2.4819 (2.3301) Prec@1 43.750 (47.085) Prec@5 67.188 (72.439)
Epoch: [51][360/5005] Time 0.207 (0.213) Data 0.058 (0.050) Loss 2.4118 (2.3298) Prec@1 45.703 (47.070) Prec@5 69.922 (72.446)
Epoch: [51][370/5005] Time 0.209 (0.213) Data 0.051 (0.050) Loss 2.3524 (2.3273) Prec@1 47.266 (47.115) Prec@5 70.312 (72.506)
Epoch: [51][380/5005] Time 0.209 (0.213) Data 0.044 (0.050) Loss 2.4440 (2.3287) Prec@1 48.438 (47.114) Prec@5 71.875 (72.465)
Epoch: [51][390/5005] Time 0.217 (0.212) Data 0.042 (0.050) Loss 2.2907 (2.3279) Prec@1 44.531 (47.113) Prec@5 74.219 (72.449)
Epoch: [51][400/5005] Time 0.216 (0.213) Data 0.045 (0.050) Loss 2.2112 (2.3267) Prec@1 49.219 (47.116) Prec@5 75.000 (72.444)
Epoch: [51][410/5005] Time 0.215 (0.213) Data 0.044 (0.049) Loss 2.1845 (2.3264) Prec@1 48.047 (47.118) Prec@5 76.172 (72.452)
Epoch: [51][420/5005] Time 0.205 (0.213) Data 0.043 (0.049) Loss 2.2999 (2.3257) Prec@1 47.266 (47.152) Prec@5 72.656 (72.463)
Epoch: [51][430/5005] Time 0.213 (0.213) Data 0.044 (0.049) Loss 2.2064 (2.3253) Prec@1 52.734 (47.145) Prec@5 76.172 (72.467)
Epoch: [51][440/5005] Time 0.211 (0.213) Data 0.042 (0.049) Loss 2.2689 (2.3243) Prec@1 51.172 (47.146) Prec@5 74.219 (72.482)
Epoch: [51][450/5005] Time 0.212 (0.213) Data 0.046 (0.049) Loss 2.1274 (2.3248) Prec@1 48.047 (47.114) Prec@5 78.516 (72.467)
Epoch: [51][460/5005] Time 0.216 (0.213) Data 0.046 (0.049) Loss 2.3342 (2.3255) Prec@1 45.703 (47.098) Prec@5 72.266 (72.454)
Epoch: [51][470/5005] Time 0.214 (0.213) Data 0.044 (0.049) Loss 2.2700 (2.3262) Prec@1 48.047 (47.109) Prec@5 72.266 (72.413)
Epoch: [51][480/5005] Time 0.217 (0.213) Data 0.044 (0.049) Loss 2.3457 (2.3263) Prec@1 45.703 (47.101) Prec@5 71.875 (72.413)
Epoch: [51][490/5005] Time 0.208 (0.213) Data 0.048 (0.049) Loss 2.2854 (2.3266) Prec@1 47.266 (47.070) Prec@5 73.047 (72.397)
Epoch: [51][500/5005] Time 0.216 (0.213) Data 0.046 (0.049) Loss 2.4451 (2.3278) Prec@1 42.578 (47.050) Prec@5 68.750 (72.356)
Epoch: [51][510/5005] Time 0.218 (0.213) Data 0.041 (0.049) Loss 2.6485 (2.3282) Prec@1 41.406 (47.045) Prec@5 67.188 (72.348)
Epoch: [51][520/5005] Time 0.218 (0.213) Data 0.043 (0.048) Loss 2.3390 (2.3281) Prec@1 41.406 (47.026) Prec@5 71.875 (72.347)
Epoch: [51][530/5005] Time 0.213 (0.213) Data 0.042 (0.048) Loss 2.3362 (2.3282) Prec@1 46.875 (47.010) Prec@5 72.656 (72.349)
Epoch: [51][540/5005] Time 0.208 (0.213) Data 0.049 (0.048) Loss 2.4430 (2.3292) Prec@1 46.094 (46.993) Prec@5 71.094 (72.334)
Epoch: [51][550/5005] Time 0.211 (0.213) Data 0.052 (0.048) Loss 2.3768 (2.3298) Prec@1 47.656 (46.989) Prec@5 74.219 (72.322)
Epoch: [51][560/5005] Time 0.215 (0.213) Data 0.043 (0.048) Loss 2.3272 (2.3293) Prec@1 49.219 (47.000) Prec@5 72.266 (72.340)
Epoch: [51][570/5005] Time 0.215 (0.213) Data 0.042 (0.048) Loss 2.4827 (2.3301) Prec@1 44.141 (47.002) Prec@5 66.797 (72.316)
Epoch: [51][580/5005] Time 0.214 (0.213) Data 0.042 (0.048) Loss 2.2722 (2.3293) Prec@1 49.609 (47.026) Prec@5 74.609 (72.332)
Epoch: [51][590/5005] Time 0.205 (0.213) Data 0.048 (0.048) Loss 2.5396 (2.3294) Prec@1 43.359 (47.007) Prec@5 68.750 (72.326)
Epoch: [51][600/5005] Time 0.213 (0.213) Data 0.054 (0.048) Loss 2.2007 (2.3300) Prec@1 50.391 (47.007) Prec@5 70.703 (72.315)
Epoch: [51][610/5005] Time 0.201 (0.213) Data 0.047 (0.048) Loss 2.2138 (2.3300) Prec@1 47.656 (46.986) Prec@5 73.828 (72.311)
Epoch: [51][620/5005] Time 0.213 (0.213) Data 0.045 (0.048) Loss 2.1652 (2.3298) Prec@1 50.781 (46.993) Prec@5 74.609 (72.316)
Epoch: [51][630/5005] Time 0.214 (0.213) Data 0.045 (0.048) Loss 2.5002 (2.3291) Prec@1 42.969 (47.004) Prec@5 72.656 (72.345)
Epoch: [51][640/5005] Time 0.214 (0.213) Data 0.044 (0.048) Loss 2.2473 (2.3286) Prec@1 47.266 (47.013) Prec@5 76.172 (72.363)
Epoch: [51][650/5005] Time 0.206 (0.213) Data 0.043 (0.048) Loss 2.4457 (2.3298) Prec@1 44.141 (46.981) Prec@5 69.141 (72.343)
Epoch: [51][660/5005] Time 0.216 (0.213) Data 0.044 (0.048) Loss 2.3878 (2.3293) Prec@1 46.875 (46.996) Prec@5 71.875 (72.354)
Epoch: [51][670/5005] Time 0.216 (0.213) Data 0.041 (0.048) Loss 2.5567 (2.3295) Prec@1 44.141 (46.995) Prec@5 69.141 (72.352)
Epoch: [51][680/5005] Time 0.214 (0.213) Data 0.044 (0.048) Loss 2.2358 (2.3288) Prec@1 47.656 (47.012) Prec@5 75.781 (72.368)
Epoch: [51][690/5005] Time 0.213 (0.213) Data 0.044 (0.048) Loss 2.2757 (2.3285) Prec@1 51.562 (47.019) Prec@5 75.000 (72.369)
Epoch: [51][700/5005] Time 0.211 (0.213) Data 0.043 (0.048) Loss 2.3633 (2.3280) Prec@1 44.531 (47.020) Prec@5 69.141 (72.370)
Epoch: [51][710/5005] Time 0.216 (0.213) Data 0.045 (0.048) Loss 2.0650 (2.3276) Prec@1 48.438 (47.019) Prec@5 76.562 (72.373)
Epoch: [51][720/5005] Time 0.211 (0.213) Data 0.045 (0.048) Loss 2.2053 (2.3271) Prec@1 48.438 (47.026) Prec@5 73.828 (72.374)
Epoch: [51][730/5005] Time 0.212 (0.213) Data 0.042 (0.048) Loss 2.5316 (2.3274) Prec@1 43.750 (47.034) Prec@5 72.266 (72.368)
Epoch: [51][740/5005] Time 0.205 (0.213) Data 0.038 (0.048) Loss 2.3654 (2.3273) Prec@1 47.656 (47.033) Prec@5 69.531 (72.363)
Epoch: [51][750/5005] Time 0.213 (0.213) Data 0.044 (0.048) Loss 2.1223 (2.3271) Prec@1 51.172 (47.033) Prec@5 76.562 (72.368)
Epoch: [51][760/5005] Time 0.215 (0.213) Data 0.043 (0.048) Loss 2.4112 (2.3274) Prec@1 42.969 (47.020) Prec@5 73.438 (72.356)
Epoch: [51][770/5005] Time 0.212 (0.213) Data 0.044 (0.048) Loss 2.3068 (2.3265) Prec@1 44.922 (47.042) Prec@5 71.875 (72.369)
Epoch: [51][780/5005] Time 0.214 (0.213) Data 0.043 (0.048) Loss 2.2928 (2.3261) Prec@1 50.391 (47.052) Prec@5 73.047 (72.376)
Epoch: [51][790/5005] Time 0.205 (0.213) Data 0.042 (0.048) Loss 2.3932 (2.3259) Prec@1 49.609 (47.073) Prec@5 71.875 (72.391)
Epoch: [51][800/5005] Time 0.211 (0.213) Data 0.043 (0.048) Loss 2.2218 (2.3251) Prec@1 51.562 (47.098) Prec@5 74.609 (72.397)
Epoch: [51][810/5005] Time 0.212 (0.213) Data 0.044 (0.047) Loss 2.3598 (2.3255) Prec@1 47.656 (47.102) Prec@5 74.219 (72.396)
Epoch: [51][820/5005] Time 0.215 (0.213) Data 0.046 (0.047) Loss 2.4661 (2.3256) Prec@1 44.531 (47.096) Prec@5 68.750 (72.383)
Epoch: [51][830/5005] Time 0.214 (0.213) Data 0.044 (0.047) Loss 2.3409 (2.3256) Prec@1 45.703 (47.098) Prec@5 70.703 (72.369)
Epoch: [51][840/5005] Time 0.212 (0.213) Data 0.044 (0.047) Loss 2.2250 (2.3252) Prec@1 48.047 (47.111) Prec@5 72.266 (72.377)
Epoch: [51][850/5005] Time 0.203 (0.213) Data 0.054 (0.047) Loss 2.6039 (2.3249) Prec@1 46.875 (47.127) Prec@5 71.094 (72.381)
Epoch: [51][860/5005] Time 0.207 (0.213) Data 0.044 (0.047) Loss 2.3762 (2.3252) Prec@1 44.922 (47.122) Prec@5 70.703 (72.368)
Epoch: [51][870/5005] Time 0.216 (0.213) Data 0.043 (0.047) Loss 2.2706 (2.3243) Prec@1 46.875 (47.143) Prec@5 71.094 (72.370)
Epoch: [51][880/5005] Time 0.203 (0.213) Data 0.053 (0.047) Loss 2.1592 (2.3243) Prec@1 45.312 (47.140) Prec@5 72.656 (72.370)
Epoch: [51][890/5005] Time 0.205 (0.213) Data 0.047 (0.047) Loss 2.6727 (2.3243) Prec@1 41.016 (47.135) Prec@5 66.016 (72.373)
Epoch: [51][900/5005] Time 0.209 (0.213) Data 0.058 (0.047) Loss 2.2271 (2.3237) Prec@1 48.828 (47.137) Prec@5 73.828 (72.384)
Epoch: [51][910/5005] Time 0.219 (0.213) Data 0.049 (0.047) Loss 2.2620 (2.3237) Prec@1 47.266 (47.136) Prec@5 75.000 (72.382)
Epoch: [51][920/5005] Time 0.205 (0.213) Data 0.057 (0.047) Loss 2.3148 (2.3229) Prec@1 45.703 (47.155) Prec@5 70.312 (72.394)
Epoch: [51][930/5005] Time 0.209 (0.213) Data 0.046 (0.048) Loss 2.2916 (2.3225) Prec@1 48.047 (47.161) Prec@5 71.484 (72.391)
Epoch: [51][940/5005] Time 0.208 (0.213) Data 0.048 (0.048) Loss 2.1063 (2.3224) Prec@1 45.312 (47.161) Prec@5 77.344 (72.396)
Epoch: [51][950/5005] Time 0.211 (0.213) Data 0.052 (0.048) Loss 2.3668 (2.3231) Prec@1 44.141 (47.154) Prec@5 69.922 (72.379)
Epoch: [51][960/5005] Time 0.218 (0.213) Data 0.042 (0.048) Loss 2.4822 (2.3229) Prec@1 44.531 (47.150) Prec@5 69.531 (72.384)
Epoch: [51][970/5005] Time 0.205 (0.213) Data 0.050 (0.048) Loss 2.1479 (2.3225) Prec@1 50.000 (47.156) Prec@5 76.172 (72.388)
Epoch: [51][980/5005] Time 0.214 (0.213) Data 0.046 (0.048) Loss 2.2925 (2.3216) Prec@1 50.781 (47.169) Prec@5 70.312 (72.399)
Epoch: [51][990/5005] Time 0.217 (0.213) Data 0.041 (0.048) Loss 2.3897 (2.3221) Prec@1 45.703 (47.158) Prec@5 71.094 (72.388)
Epoch: [51][1000/5005] Time 0.207 (0.213) Data 0.044 (0.048) Loss 2.2478 (2.3220) Prec@1 49.219 (47.166) Prec@5 76.953 (72.389)
Epoch: [51][1010/5005] Time 0.207 (0.213) Data 0.043 (0.048) Loss 2.3677 (2.3214) Prec@1 45.312 (47.176) Prec@5 71.094 (72.396)
Epoch: [51][1020/5005] Time 0.208 (0.213) Data 0.057 (0.048) Loss 2.2686 (2.3218) Prec@1 48.438 (47.173) Prec@5 73.047 (72.383)
Epoch: [51][1030/5005] Time 0.198 (0.214) Data 0.044 (0.048) Loss 2.2209 (2.3213) Prec@1 46.094 (47.175) Prec@5 72.266 (72.388)
Epoch: [51][1040/5005] Time 0.203 (0.214) Data 0.042 (0.048) Loss 2.4808 (2.3212) Prec@1 41.016 (47.173) Prec@5 72.266 (72.388)
Epoch: [51][1050/5005] Time 0.210 (0.214) Data 0.041 (0.048) Loss 2.3451 (2.3215) Prec@1 47.656 (47.159) Prec@5 68.750 (72.380)
Epoch: [51][1060/5005] Time 0.215 (0.214) Data 0.043 (0.047) Loss 2.4539 (2.3217) Prec@1 48.828 (47.164) Prec@5 69.531 (72.380)
Epoch: [51][1070/5005] Time 0.212 (0.214) Data 0.042 (0.047) Loss 2.2780 (2.3216) Prec@1 46.094 (47.167) Prec@5 74.219 (72.386)
Epoch: [51][1080/5005] Time 0.206 (0.213) Data 0.042 (0.047) Loss 2.3753 (2.3216) Prec@1 46.875 (47.163) Prec@5 72.266 (72.392)
Epoch: [51][1090/5005] Time 0.210 (0.213) Data 0.047 (0.047) Loss 2.2882 (2.3212) Prec@1 47.656 (47.168) Prec@5 70.703 (72.402)
Epoch: [51][1100/5005] Time 0.219 (0.213) Data 0.043 (0.047) Loss 2.3458 (2.3207) Prec@1 47.656 (47.189) Prec@5 72.656 (72.412)
Epoch: [51][1110/5005] Time 0.205 (0.213) Data 0.054 (0.047) Loss 2.2350 (2.3207) Prec@1 51.172 (47.189) Prec@5 73.438 (72.414)
Epoch: [51][1120/5005] Time 0.214 (0.213) Data 0.045 (0.047) Loss 2.2873 (2.3199) Prec@1 46.875 (47.199) Prec@5 72.266 (72.424)
Epoch: [51][1130/5005] Time 0.212 (0.213) Data 0.044 (0.047) Loss 2.5386 (2.3203) Prec@1 40.625 (47.191) Prec@5 67.969 (72.420)
Epoch: [51][1140/5005] Time 0.206 (0.213) Data 0.047 (0.047) Loss 2.4230 (2.3202) Prec@1 44.531 (47.186) Prec@5 69.922 (72.422)
Epoch: [51][1150/5005] Time 0.206 (0.213) Data 0.042 (0.047) Loss 2.3525 (2.3203) Prec@1 42.188 (47.182) Prec@5 74.609 (72.424)
Epoch: [51][1160/5005] Time 0.220 (0.213) Data 0.044 (0.047) Loss 2.4496 (2.3203) Prec@1 46.094 (47.196) Prec@5 68.750 (72.420)
Epoch: [51][1170/5005] Time 0.210 (0.213) Data 0.044 (0.047) Loss 2.3684 (2.3203) Prec@1 48.828 (47.198) Prec@5 72.656 (72.428)
Epoch: [51][1180/5005] Time 0.210 (0.213) Data 0.043 (0.047) Loss 2.4028 (2.3202) Prec@1 45.312 (47.182) Prec@5 71.875 (72.427)
Epoch: [51][1190/5005] Time 0.216 (0.213) Data 0.043 (0.047) Loss 2.1768 (2.3198) Prec@1 47.656 (47.186) Prec@5 73.438 (72.431)
Epoch: [51][1200/5005] Time 0.201 (0.213) Data 0.047 (0.047) Loss 2.4875 (2.3200) Prec@1 44.141 (47.181) Prec@5 69.141 (72.426)
Epoch: [51][1210/5005] Time 0.211 (0.213) Data 0.043 (0.047) Loss 2.3424 (2.3204) Prec@1 41.797 (47.177) Prec@5 71.484 (72.429)
Epoch: [51][1220/5005] Time 0.208 (0.213) Data 0.047 (0.047) Loss 2.2868 (2.3206) Prec@1 48.438 (47.165) Prec@5 71.875 (72.430)
Epoch: [51][1230/5005] Time 0.208 (0.213) Data 0.043 (0.047) Loss 2.3868 (2.3208) Prec@1 47.266 (47.145) Prec@5 71.875 (72.432)
Epoch: [51][1240/5005] Time 0.209 (0.213) Data 0.042 (0.047) Loss 2.2664 (2.3209) Prec@1 48.438 (47.141) Prec@5 70.703 (72.426)
Epoch: [51][1250/5005] Time 0.210 (0.213) Data 0.051 (0.047) Loss 2.3853 (2.3211) Prec@1 44.531 (47.133) Prec@5 68.750 (72.409)
Epoch: [51][1260/5005] Time 0.226 (0.213) Data 0.048 (0.047) Loss 2.1476 (2.3206) Prec@1 48.828 (47.137) Prec@5 75.000 (72.420)
Epoch: [51][1270/5005] Time 0.200 (0.213) Data 0.060 (0.047) Loss 2.2749 (2.3212) Prec@1 46.484 (47.133) Prec@5 75.000 (72.409)
Epoch: [51][1280/5005] Time 0.216 (0.213) Data 0.042 (0.047) Loss 2.1927 (2.3212) Prec@1 48.438 (47.130) Prec@5 74.219 (72.407)
Epoch: [51][1290/5005] Time 0.210 (0.213) Data 0.042 (0.047) Loss 2.1027 (2.3208) Prec@1 54.297 (47.141) Prec@5 73.047 (72.409)
Epoch: [51][1300/5005] Time 0.200 (0.213) Data 0.050 (0.047) Loss 2.2109 (2.3209) Prec@1 50.391 (47.150) Prec@5 73.828 (72.407)
Epoch: [51][1310/5005] Time 0.206 (0.213) Data 0.049 (0.047) Loss 2.4858 (2.3210) Prec@1 45.312 (47.146) Prec@5 69.141 (72.405)
Epoch: [51][1320/5005] Time 0.210 (0.213) Data 0.068 (0.047) Loss 2.4424 (2.3208) Prec@1 43.750 (47.144) Prec@5 73.047 (72.409)
Epoch: [51][1330/5005] Time 0.208 (0.213) Data 0.053 (0.047) Loss 2.5028 (2.3215) Prec@1 44.531 (47.134) Prec@5 73.047 (72.399)
Epoch: [51][1340/5005] Time 0.214 (0.213) Data 0.044 (0.047) Loss 2.3017 (2.3217) Prec@1 44.141 (47.128) Prec@5 70.312 (72.389)
Epoch: [51][1350/5005] Time 0.215 (0.213) Data 0.043 (0.047) Loss 2.8167 (2.3219) Prec@1 40.625 (47.125) Prec@5 69.531 (72.389)
Epoch: [51][1360/5005] Time 0.211 (0.213) Data 0.049 (0.047) Loss 2.2024 (2.3217) Prec@1 49.609 (47.129) Prec@5 73.047 (72.388)
Epoch: [51][1370/5005] Time 0.222 (0.213) Data 0.042 (0.047) Loss 2.3481 (2.3215) Prec@1 44.531 (47.125) Prec@5 73.828 (72.391)
Epoch: [51][1380/5005] Time 0.207 (0.213) Data 0.059 (0.047) Loss 2.3525 (2.3212) Prec@1 48.438 (47.130) Prec@5 70.703 (72.397)
Epoch: [51][1390/5005] Time 0.209 (0.213) Data 0.057 (0.047) Loss 2.1958 (2.3209) Prec@1 52.344 (47.140) Prec@5 73.828 (72.392)
Epoch: [51][1400/5005] Time 0.210 (0.213) Data 0.059 (0.047) Loss 2.3673 (2.3203) Prec@1 50.000 (47.155) Prec@5 73.047 (72.403)
Epoch: [51][1410/5005] Time 0.210 (0.213) Data 0.044 (0.047) Loss 2.2289 (2.3201) Prec@1 49.609 (47.157) Prec@5 75.000 (72.406)
Epoch: [51][1420/5005] Time 0.203 (0.213) Data 0.043 (0.047) Loss 2.5759 (2.3204) Prec@1 44.922 (47.154) Prec@5 67.969 (72.401)
Epoch: [51][1430/5005] Time 0.214 (0.213) Data 0.041 (0.047) Loss 2.0227 (2.3202) Prec@1 47.656 (47.160) Prec@5 78.906 (72.405)
Epoch: [51][1440/5005] Time 0.215 (0.213) Data 0.042 (0.047) Loss 2.0627 (2.3198) Prec@1 51.172 (47.164) Prec@5 78.906 (72.415)
Epoch: [51][1450/5005] Time 0.210 (0.213) Data 0.043 (0.047) Loss 2.3719 (2.3198) Prec@1 46.875 (47.164) Prec@5 73.438 (72.414)
Epoch: [51][1460/5005] Time 0.205 (0.213) Data 0.042 (0.047) Loss 2.3825 (2.3196) Prec@1 46.094 (47.167) Prec@5 68.359 (72.417)
Epoch: [51][1470/5005] Time 0.206 (0.213) Data 0.042 (0.047) Loss 2.3504 (2.3194) Prec@1 45.703 (47.170) Prec@5 71.875 (72.418)
Epoch: [51][1480/5005] Time 0.200 (0.213) Data 0.043 (0.047) Loss 2.0908 (2.3194) Prec@1 51.953 (47.172) Prec@5 76.172 (72.418)
Epoch: [51][1490/5005] Time 0.208 (0.213) Data 0.042 (0.047) Loss 2.5277 (2.3194) Prec@1 44.922 (47.181) Prec@5 71.094 (72.422)
Epoch: [51][1500/5005] Time 0.208 (0.213) Data 0.042 (0.047) Loss 2.3435 (2.3192) Prec@1 46.484 (47.183) Prec@5 69.141 (72.429)
Epoch: [51][1510/5005] Time 0.217 (0.213) Data 0.042 (0.047) Loss 2.2162 (2.3190) Prec@1 48.828 (47.178) Prec@5 74.219 (72.430)
Epoch: [51][1520/5005] Time 0.208 (0.213) Data 0.045 (0.047) Loss 2.2282 (2.3186) Prec@1 50.781 (47.186) Prec@5 75.391 (72.438)
Epoch: [51][1530/5005] Time 0.211 (0.213) Data 0.043 (0.047) Loss 2.4134 (2.3183) Prec@1 46.094 (47.188) Prec@5 70.703 (72.441)
Epoch: [51][1540/5005] Time 0.214 (0.213) Data 0.043 (0.047) Loss 2.5073 (2.3186) Prec@1 42.188 (47.187) Prec@5 69.531 (72.443)
Epoch: [51][1550/5005] Time 0.215 (0.213) Data 0.045 (0.047) Loss 2.3027 (2.3184) Prec@1 47.656 (47.185) Prec@5 73.047 (72.441)
Epoch: [51][1560/5005] Time 0.206 (0.213) Data 0.043 (0.047) Loss 2.2037 (2.3185) Prec@1 49.219 (47.188) Prec@5 71.484 (72.440)
Epoch: [51][1570/5005] Time 0.208 (0.213) Data 0.060 (0.047) Loss 2.1615 (2.3181) Prec@1 48.438 (47.196) Prec@5 75.000 (72.445)
Epoch: [51][1580/5005] Time 0.196 (0.213) Data 0.043 (0.047) Loss 2.2632 (2.3184) Prec@1 48.047 (47.184) Prec@5 73.438 (72.438)
Epoch: [51][1590/5005] Time 0.207 (0.213) Data 0.050 (0.047) Loss 2.3093 (2.3184) Prec@1 50.000 (47.186) Prec@5 70.312 (72.433)
Epoch: [51][1600/5005] Time 0.206 (0.213) Data 0.057 (0.047) Loss 2.3984 (2.3185) Prec@1 45.703 (47.184) Prec@5 72.266 (72.438)
Epoch: [51][1610/5005] Time 0.201 (0.213) Data 0.044 (0.047) Loss 2.4722 (2.3186) Prec@1 45.312 (47.178) Prec@5 69.141 (72.434)
Epoch: [51][1620/5005] Time 0.207 (0.213) Data 0.055 (0.047) Loss 2.5548 (2.3184) Prec@1 43.750 (47.182) Prec@5 70.312 (72.437)
Epoch: [51][1630/5005] Time 0.206 (0.213) Data 0.044 (0.047) Loss 2.2355 (2.3184) Prec@1 49.219 (47.186) Prec@5 72.656 (72.432)
Epoch: [51][1640/5005] Time 0.215 (0.213) Data 0.048 (0.047) Loss 2.3631 (2.3186) Prec@1 51.562 (47.185) Prec@5 70.703 (72.430)
Epoch: [51][1650/5005] Time 0.211 (0.213) Data 0.043 (0.047) Loss 2.2908 (2.3187) Prec@1 48.828 (47.193) Prec@5 74.219 (72.433)
Epoch: [51][1660/5005] Time 0.208 (0.213) Data 0.047 (0.047) Loss 2.2343 (2.3182) Prec@1 48.828 (47.209) Prec@5 73.828 (72.439)
Epoch: [51][1670/5005] Time 0.211 (0.213) Data 0.050 (0.047) Loss 2.0602 (2.3182) Prec@1 50.000 (47.207) Prec@5 78.906 (72.440)
Epoch: [51][1680/5005] Time 0.216 (0.212) Data 0.047 (0.047) Loss 2.4673 (2.3185) Prec@1 48.828 (47.203) Prec@5 68.750 (72.433)
Epoch: [51][1690/5005] Time 0.209 (0.212) Data 0.047 (0.047) Loss 2.3052 (2.3181) Prec@1 49.609 (47.210) Prec@5 73.438 (72.434)
Epoch: [51][1700/5005] Time 0.202 (0.212) Data 0.047 (0.047) Loss 2.1520 (2.3176) Prec@1 50.000 (47.216) Prec@5 76.172 (72.444)
Epoch: [51][1710/5005] Time 0.210 (0.212) Data 0.044 (0.047) Loss 2.2724 (2.3169) Prec@1 46.875 (47.222) Prec@5 73.828 (72.456)
Epoch: [51][1720/5005] Time 0.201 (0.212) Data 0.044 (0.047) Loss 2.4493 (2.3169) Prec@1 41.016 (47.220) Prec@5 72.266 (72.459)
Epoch: [51][1730/5005] Time 0.195 (0.212) Data 0.049 (0.047) Loss 2.3342 (2.3168) Prec@1 45.312 (47.215) Prec@5 73.047 (72.466)
Epoch: [51][1740/5005] Time 0.210 (0.212) Data 0.052 (0.047) Loss 2.3592 (2.3165) Prec@1 41.016 (47.213) Prec@5 71.094 (72.469)
Epoch: [51][1750/5005] Time 0.207 (0.212) Data 0.043 (0.047) Loss 2.2739 (2.3163) Prec@1 44.922 (47.214) Prec@5 71.094 (72.472)
Epoch: [51][1760/5005] Time 0.211 (0.212) Data 0.044 (0.047) Loss 2.0709 (2.3161) Prec@1 50.781 (47.220) Prec@5 76.953 (72.480)
Epoch: [51][1770/5005] Time 0.209 (0.212) Data 0.046 (0.047) Loss 2.3340 (2.3157) Prec@1 45.703 (47.223) Prec@5 72.266 (72.488)
Epoch: [51][1780/5005] Time 0.205 (0.212) Data 0.052 (0.047) Loss 2.2014 (2.3157) Prec@1 45.312 (47.219) Prec@5 73.047 (72.483)
Epoch: [51][1790/5005] Time 0.216 (0.212) Data 0.043 (0.047) Loss 2.2808 (2.3154) Prec@1 50.781 (47.220) Prec@5 71.484 (72.490)
Epoch: [51][1800/5005] Time 0.212 (0.212) Data 0.043 (0.047) Loss 2.3216 (2.3151) Prec@1 47.656 (47.228) Prec@5 71.875 (72.495)
Epoch: [51][1810/5005] Time 0.208 (0.212) Data 0.041 (0.047) Loss 2.2583 (2.3149) Prec@1 50.391 (47.230) Prec@5 73.438 (72.501)
Epoch: [51][1820/5005] Time 0.211 (0.212) Data 0.043 (0.047) Loss 2.2740 (2.3148) Prec@1 44.922 (47.232) Prec@5 71.875 (72.504)
Epoch: [51][1830/5005] Time 0.214 (0.212) Data 0.047 (0.047) Loss 2.1005 (2.3142) Prec@1 53.516 (47.241) Prec@5 76.562 (72.509)
Epoch: [51][1840/5005] Time 0.211 (0.212) Data 0.044 (0.047) Loss 2.3034 (2.3140) Prec@1 44.922 (47.247) Prec@5 73.047 (72.511)
Epoch: [51][1850/5005] Time 0.210 (0.212) Data 0.044 (0.047) Loss 2.3718 (2.3139) Prec@1 43.359 (47.249) Prec@5 73.047 (72.513)
Epoch: [51][1860/5005] Time 0.214 (0.212) Data 0.044 (0.047) Loss 2.2350 (2.3139) Prec@1 48.438 (47.252) Prec@5 71.875 (72.507)
Epoch: [51][1870/5005] Time 0.215 (0.212) Data 0.044 (0.047) Loss 2.3764 (2.3142) Prec@1 44.141 (47.242) Prec@5 70.312 (72.502)
Epoch: [51][1880/5005] Time 0.212 (0.212) Data 0.041 (0.047) Loss 2.4437 (2.3144) Prec@1 44.141 (47.239) Prec@5 71.094 (72.500)
Epoch: [51][1890/5005] Time 0.213 (0.212) Data 0.047 (0.047) Loss 2.3182 (2.3143) Prec@1 49.609 (47.243) Prec@5 72.266 (72.501)
Epoch: [51][1900/5005] Time 0.206 (0.212) Data 0.046 (0.047) Loss 2.3240 (2.3145) Prec@1 50.000 (47.242) Prec@5 72.656 (72.497)
Epoch: [51][1910/5005] Time 0.209 (0.212) Data 0.044 (0.047) Loss 2.2130 (2.3144) Prec@1 50.000 (47.246) Prec@5 74.609 (72.497)
Epoch: [51][1920/5005] Time 0.213 (0.212) Data 0.043 (0.047) Loss 2.1134 (2.3141) Prec@1 45.312 (47.242) Prec@5 76.562 (72.504)
Epoch: [51][1930/5005] Time 0.205 (0.212) Data 0.054 (0.047) Loss 2.3184 (2.3140) Prec@1 47.266 (47.248) Prec@5 71.484 (72.510)
Epoch: [51][1940/5005] Time 0.208 (0.212) Data 0.043 (0.047) Loss 1.9959 (2.3137) Prec@1 52.344 (47.254) Prec@5 77.344 (72.517)
Epoch: [51][1950/5005] Time 0.209 (0.212) Data 0.044 (0.047) Loss 2.4170 (2.3135) Prec@1 44.141 (47.255) Prec@5 71.094 (72.522)
Epoch: [51][1960/5005] Time 0.211 (0.212) Data 0.047 (0.047) Loss 2.2977 (2.3134) Prec@1 48.828 (47.260) Prec@5 71.875 (72.528)
Epoch: [51][1970/5005] Time 0.211 (0.212) Data 0.041 (0.047) Loss 2.3156 (2.3132) Prec@1 44.922 (47.252) Prec@5 75.000 (72.528)
Epoch: [51][1980/5005] Time 0.198 (0.212) Data 0.051 (0.047) Loss 2.1673 (2.3131) Prec@1 50.781 (47.256) Prec@5 71.484 (72.529)
Epoch: [51][1990/5005] Time 0.213 (0.212) Data 0.047 (0.047) Loss 2.0094 (2.3127) Prec@1 51.562 (47.259) Prec@5 76.562 (72.535)
Epoch: [51][2000/5005] Time 0.195 (0.212) Data 0.060 (0.047) Loss 2.2898 (2.3127) Prec@1 46.875 (47.263) Prec@5 73.828 (72.538)
Epoch: [51][2010/5005] Time 0.211 (0.212) Data 0.047 (0.047) Loss 2.1853 (2.3128) Prec@1 46.094 (47.256) Prec@5 75.391 (72.535)
Epoch: [51][2020/5005] Time 0.209 (0.212) Data 0.042 (0.047) Loss 2.3055 (2.3129) Prec@1 48.047 (47.251) Prec@5 73.828 (72.533)
Epoch: [51][2030/5005] Time 0.212 (0.212) Data 0.042 (0.047) Loss 2.2690 (2.3131) Prec@1 47.266 (47.249) Prec@5 73.438 (72.527)
Epoch: [51][2040/5005] Time 0.215 (0.212) Data 0.042 (0.047) Loss 2.0930 (2.3129) Prec@1 51.953 (47.252) Prec@5 75.781 (72.532)
Epoch: [51][2050/5005] Time 0.200 (0.212) Data 0.043 (0.047) Loss 2.3256 (2.3126) Prec@1 47.266 (47.256) Prec@5 74.609 (72.536)
Epoch: [51][2060/5005] Time 0.196 (0.212) Data 0.048 (0.047) Loss 2.2604 (2.3126) Prec@1 45.703 (47.254) Prec@5 69.141 (72.538)
Epoch: [51][2070/5005] Time 0.212 (0.212) Data 0.045 (0.047) Loss 2.4104 (2.3128) Prec@1 42.578 (47.250) Prec@5 72.656 (72.535)
Epoch: [51][2080/5005] Time 0.207 (0.212) Data 0.049 (0.047) Loss 2.3633 (2.3128) Prec@1 45.312 (47.251) Prec@5 73.047 (72.535)
Epoch: [51][2090/5005] Time 0.208 (0.212) Data 0.042 (0.047) Loss 2.1668 (2.3123) Prec@1 46.875 (47.257) Prec@5 74.219 (72.540)
Epoch: [51][2100/5005] Time 0.211 (0.212) Data 0.045 (0.047) Loss 2.3760 (2.3121) Prec@1 47.266 (47.257) Prec@5 72.266 (72.538)
Epoch: [51][2110/5005] Time 0.197 (0.212) Data 0.048 (0.047) Loss 2.1973 (2.3122) Prec@1 49.609 (47.255) Prec@5 75.000 (72.537)
Epoch: [51][2120/5005] Time 0.204 (0.212) Data 0.043 (0.047) Loss 2.3945 (2.3120) Prec@1 48.047 (47.262) Prec@5 71.875 (72.541)
Epoch: [51][2130/5005] Time 0.198 (0.212) Data 0.055 (0.047) Loss 2.1969 (2.3116) Prec@1 50.781 (47.273) Prec@5 73.438 (72.546)
Epoch: [51][2140/5005] Time 0.206 (0.212) Data 0.055 (0.047) Loss 2.2126 (2.3117) Prec@1 48.047 (47.273) Prec@5 72.266 (72.543)
Epoch: [51][2150/5005] Time 0.205 (0.212) Data 0.044 (0.047) Loss 2.0768 (2.3115) Prec@1 51.953 (47.273) Prec@5 75.000 (72.546)
Epoch: [51][2160/5005] Time 0.208 (0.212) Data 0.040 (0.047) Loss 2.2626 (2.3113) Prec@1 50.000 (47.278) Prec@5 74.219 (72.553)
Epoch: [51][2170/5005] Time 0.215 (0.212) Data 0.045 (0.047) Loss 2.1886 (2.3109) Prec@1 48.438 (47.283) Prec@5 74.609 (72.556)
Epoch: [51][2180/5005] Time 0.213 (0.212) Data 0.038 (0.047) Loss 2.3900 (2.3110) Prec@1 47.266 (47.282) Prec@5 70.703 (72.556)
Epoch: [51][2190/5005] Time 0.211 (0.212) Data 0.043 (0.047) Loss 2.4459 (2.3110) Prec@1 45.703 (47.284) Prec@5 66.797 (72.553)
Epoch: [51][2200/5005] Time 0.208 (0.212) Data 0.045 (0.047) Loss 2.2702 (2.3114) Prec@1 46.094 (47.273) Prec@5 74.609 (72.553)
Epoch: [51][2210/5005] Time 0.210 (0.212) Data 0.042 (0.047) Loss 2.4339 (2.3117) Prec@1 42.578 (47.268) Prec@5 69.531 (72.547)
Epoch: [51][2220/5005] Time 0.215 (0.212) Data 0.043 (0.047) Loss 2.3349 (2.3115) Prec@1 48.828 (47.275) Prec@5 73.438 (72.553)
Epoch: [51][2230/5005] Time 0.212 (0.212) Data 0.043 (0.047) Loss 2.3455 (2.3116) Prec@1 48.047 (47.276) Prec@5 71.484 (72.550)
Epoch: [51][2240/5005] Time 0.213 (0.212) Data 0.044 (0.047) Loss 2.3217 (2.3115) Prec@1 45.312 (47.278) Prec@5 73.047 (72.553)
Epoch: [51][2250/5005] Time 0.205 (0.212) Data 0.041 (0.047) Loss 2.1659 (2.3117) Prec@1 48.047 (47.276) Prec@5 74.219 (72.550)
Epoch: [51][2260/5005] Time 0.214 (0.212) Data 0.042 (0.047) Loss 2.2157 (2.3113) Prec@1 48.828 (47.283) Prec@5 72.656 (72.554)
Epoch: [51][2270/5005] Time 0.207 (0.212) Data 0.044 (0.047) Loss 2.3458 (2.3112) Prec@1 47.266 (47.286) Prec@5 71.484 (72.557)
Epoch: [51][2280/5005] Time 0.214 (0.212) Data 0.046 (0.047) Loss 2.3491 (2.3114) Prec@1 50.391 (47.286) Prec@5 72.266 (72.558)
Epoch: [51][2290/5005] Time 0.216 (0.212) Data 0.040 (0.047) Loss 2.1105 (2.3114) Prec@1 47.266 (47.283) Prec@5 74.609 (72.560)
Epoch: [51][2300/5005] Time 0.205 (0.212) Data 0.046 (0.047) Loss 2.1089 (2.3113) Prec@1 48.828 (47.289) Prec@5 75.000 (72.564)
Epoch: [51][2310/5005] Time 0.205 (0.212) Data 0.048 (0.047) Loss 2.0954 (2.3112) Prec@1 53.516 (47.297) Prec@5 75.000 (72.564)
Epoch: [51][2320/5005] Time 0.214 (0.212) Data 0.050 (0.047) Loss 2.4040 (2.3112) Prec@1 42.578 (47.299) Prec@5 73.047 (72.567)
Epoch: [51][2330/5005] Time 0.210 (0.212) Data 0.051 (0.047) Loss 2.1630 (2.3110) Prec@1 50.781 (47.306) Prec@5 77.344 (72.571)
Epoch: [51][2340/5005] Time 0.215 (0.211) Data 0.047 (0.047) Loss 2.2301 (2.3107) Prec@1 50.391 (47.314) Prec@5 74.219 (72.578)
Epoch: [51][2350/5005] Time 0.213 (0.211) Data 0.043 (0.047) Loss 2.2624 (2.3106) Prec@1 41.797 (47.310) Prec@5 71.484 (72.578)
Epoch: [51][2360/5005] Time 0.207 (0.211) Data 0.042 (0.047) Loss 2.4319 (2.3107) Prec@1 44.531 (47.310) Prec@5 69.531 (72.575)
Epoch: [51][2370/5005] Time 0.208 (0.211) Data 0.042 (0.047) Loss 2.3137 (2.3106) Prec@1 42.969 (47.311) Prec@5 71.094 (72.573)
Epoch: [51][2380/5005] Time 0.201 (0.211) Data 0.052 (0.047) Loss 2.3844 (2.3104) Prec@1 46.875 (47.316) Prec@5 71.875 (72.581)
Epoch: [51][2390/5005] Time 0.211 (0.211) Data 0.047 (0.047) Loss 2.2630 (2.3104) Prec@1 45.312 (47.315) Prec@5 73.438 (72.581)
Epoch: [51][2400/5005] Time 0.203 (0.211) Data 0.040 (0.047) Loss 2.2942 (2.3104) Prec@1 46.484 (47.317) Prec@5 71.484 (72.580)
Epoch: [51][2410/5005] Time 0.213 (0.211) Data 0.047 (0.047) Loss 2.4736 (2.3104) Prec@1 44.531 (47.318) Prec@5 70.312 (72.578)
Epoch: [51][2420/5005] Time 0.211 (0.211) Data 0.046 (0.047) Loss 2.3627 (2.3104) Prec@1 48.438 (47.324) Prec@5 73.047 (72.580)
Epoch: [51][2430/5005] Time 0.205 (0.211) Data 0.053 (0.047) Loss 2.1588 (2.3104) Prec@1 46.875 (47.323) Prec@5 76.172 (72.581)
Epoch: [51][2440/5005] Time 0.214 (0.211) Data 0.044 (0.047) Loss 2.1213 (2.3104) Prec@1 52.344 (47.324) Prec@5 75.781 (72.580)
Epoch: [51][2450/5005] Time 0.214 (0.211) Data 0.044 (0.047) Loss 2.3103 (2.3103) Prec@1 50.000 (47.330) Prec@5 73.438 (72.582)
Epoch: [51][2460/5005] Time 0.217 (0.211) Data 0.041 (0.047) Loss 2.1746 (2.3100) Prec@1 48.828 (47.333) Prec@5 75.781 (72.586)
Epoch: [51][2470/5005] Time 0.208 (0.211) Data 0.058 (0.047) Loss 2.2083 (2.3099) Prec@1 48.828 (47.338) Prec@5 73.047 (72.592)
Epoch: [51][2480/5005] Time 0.201 (0.211) Data 0.057 (0.047) Loss 2.3442 (2.3100) Prec@1 45.703 (47.336) Prec@5 75.000 (72.590)
Epoch: [51][2490/5005] Time 0.202 (0.211) Data 0.041 (0.047) Loss 2.1116 (2.3099) Prec@1 51.562 (47.337) Prec@5 75.000 (72.590)
Epoch: [51][2500/5005] Time 0.201 (0.211) Data 0.047 (0.047) Loss 2.3095 (2.3098) Prec@1 46.484 (47.342) Prec@5 74.219 (72.590)
Epoch: [51][2510/5005] Time 0.203 (0.211) Data 0.046 (0.047) Loss 2.3671 (2.3097) Prec@1 46.094 (47.338) Prec@5 71.484 (72.592)
Epoch: [51][2520/5005] Time 0.217 (0.211) Data 0.042 (0.047) Loss 2.1994 (2.3096) Prec@1 47.656 (47.339) Prec@5 76.953 (72.594)
Epoch: [51][2530/5005] Time 0.202 (0.211) Data 0.051 (0.047) Loss 2.4450 (2.3096) Prec@1 44.141 (47.339) Prec@5 67.188 (72.594)
Epoch: [51][2540/5005] Time 0.204 (0.211) Data 0.057 (0.047) Loss 2.1579 (2.3094) Prec@1 51.953 (47.343) Prec@5 74.609 (72.595)
Epoch: [51][2550/5005] Time 0.193 (0.211) Data 0.058 (0.047) Loss 2.2163 (2.3095) Prec@1 46.875 (47.342) Prec@5 73.438 (72.594)
Epoch: [51][2560/5005] Time 0.209 (0.211) Data 0.047 (0.047) Loss 2.4885 (2.3095) Prec@1 42.188 (47.343) Prec@5 70.312 (72.594)
Epoch: [51][2570/5005] Time 0.200 (0.211) Data 0.058 (0.047) Loss 2.3604 (2.3097) Prec@1 45.703 (47.341) Prec@5 73.047 (72.589)
Epoch: [51][2580/5005] Time 0.209 (0.211) Data 0.050 (0.047) Loss 2.4296 (2.3100) Prec@1 44.141 (47.332) Prec@5 69.531 (72.584)
Epoch: [51][2590/5005] Time 0.202 (0.211) Data 0.042 (0.047) Loss 2.3668 (2.3097) Prec@1 49.219 (47.341) Prec@5 70.312 (72.586)
Epoch: [51][2600/5005] Time 0.206 (0.211) Data 0.045 (0.047) Loss 2.3980 (2.3100) Prec@1 49.609 (47.340) Prec@5 72.266 (72.582)
Epoch: [51][2610/5005] Time 0.208 (0.211) Data 0.040 (0.047) Loss 2.4617 (2.3099) Prec@1 43.359 (47.346) Prec@5 70.312 (72.582)
Epoch: [51][2620/5005] Time 0.212 (0.211) Data 0.043 (0.047) Loss 2.3392 (2.3098) Prec@1 39.844 (47.341) Prec@5 69.922 (72.581)
Epoch: [51][2630/5005] Time 0.205 (0.211) Data 0.048 (0.047) Loss 2.4706 (2.3102) Prec@1 44.531 (47.339) Prec@5 68.750 (72.578)
Epoch: [51][2640/5005] Time 0.196 (0.211) Data 0.044 (0.047) Loss 2.4376 (2.3100) Prec@1 43.750 (47.342) Prec@5 70.703 (72.580)
Epoch: [51][2650/5005] Time 0.206 (0.211) Data 0.044 (0.047) Loss 2.4019 (2.3100) Prec@1 46.484 (47.341) Prec@5 71.484 (72.578)
Epoch: [51][2660/5005] Time 0.205 (0.211) Data 0.048 (0.047) Loss 2.3689 (2.3100) Prec@1 44.922 (47.341) Prec@5 70.312 (72.577)
Epoch: [51][2670/5005] Time 0.208 (0.211) Data 0.043 (0.047) Loss 2.1014 (2.3098) Prec@1 53.516 (47.343) Prec@5 76.172 (72.580)
Epoch: [51][2680/5005] Time 0.214 (0.211) Data 0.043 (0.047) Loss 2.1850 (2.3097) Prec@1 51.172 (47.342) Prec@5 72.656 (72.582)
Epoch: [51][2690/5005] Time 0.197 (0.211) Data 0.041 (0.047) Loss 2.1344 (2.3095) Prec@1 49.609 (47.345) Prec@5 76.172 (72.582)
Epoch: [51][2700/5005] Time 0.214 (0.211) Data 0.044 (0.047) Loss 2.2925 (2.3095) Prec@1 46.484 (47.338) Prec@5 72.656 (72.580)
Epoch: [51][2710/5005] Time 0.213 (0.211) Data 0.042 (0.047) Loss 2.0295 (2.3096) Prec@1 53.125 (47.337) Prec@5 76.562 (72.579)
Epoch: [51][2720/5005] Time 0.207 (0.211) Data 0.047 (0.047) Loss 2.1950 (2.3096) Prec@1 48.828 (47.335) Prec@5 74.609 (72.579)
Epoch: [51][2730/5005] Time 0.211 (0.211) Data 0.044 (0.047) Loss 2.3277 (2.3092) Prec@1 49.219 (47.342) Prec@5 70.312 (72.586)
Epoch: [51][2740/5005] Time 0.213 (0.211) Data 0.041 (0.047) Loss 2.1982 (2.3092) Prec@1 46.484 (47.341) Prec@5 76.953 (72.585)
Epoch: [51][2750/5005] Time 0.205 (0.211) Data 0.048 (0.047) Loss 2.2292 (2.3090) Prec@1 47.656 (47.345) Prec@5 73.438 (72.591)
Epoch: [51][2760/5005] Time 0.211 (0.211) Data 0.045 (0.047) Loss 2.4108 (2.3090) Prec@1 43.359 (47.344) Prec@5 69.922 (72.592)
Epoch: [51][2770/5005] Time 0.203 (0.211) Data 0.044 (0.047) Loss 2.2282 (2.3090) Prec@1 47.656 (47.342) Prec@5 74.219 (72.591)
Epoch: [51][2780/5005] Time 0.204 (0.211) Data 0.044 (0.047) Loss 2.4568 (2.3090) Prec@1 46.094 (47.344) Prec@5 70.703 (72.590)
Epoch: [51][2790/5005] Time 0.212 (0.211) Data 0.043 (0.047) Loss 2.5587 (2.3092) Prec@1 41.016 (47.346) Prec@5 67.969 (72.589)
Epoch: [51][2800/5005] Time 0.203 (0.211) Data 0.048 (0.047) Loss 2.0509 (2.3090) Prec@1 51.562 (47.350) Prec@5 75.391 (72.592)
Epoch: [51][2810/5005] Time 0.201 (0.211) Data 0.045 (0.047) Loss 2.3617 (2.3090) Prec@1 44.141 (47.349) Prec@5 69.531 (72.591)
Epoch: [51][2820/5005] Time 0.212 (0.211) Data 0.042 (0.047) Loss 2.1188 (2.3089) Prec@1 45.703 (47.350) Prec@5 76.172 (72.594)
Epoch: [51][2830/5005] Time 0.204 (0.211) Data 0.046 (0.047) Loss 2.5523 (2.3089) Prec@1 45.312 (47.346) Prec@5 70.703 (72.592)
Epoch: [51][2840/5005] Time 0.209 (0.211) Data 0.046 (0.047) Loss 2.3471 (2.3088) Prec@1 46.875 (47.346) Prec@5 72.656 (72.596)
Epoch: [51][2850/5005] Time 0.208 (0.211) Data 0.043 (0.047) Loss 2.1887 (2.3086) Prec@1 51.562 (47.352) Prec@5 73.047 (72.596)
Epoch: [51][2860/5005] Time 0.208 (0.211) Data 0.044 (0.047) Loss 2.2885 (2.3087) Prec@1 48.047 (47.353) Prec@5 73.438 (72.598)
Epoch: [51][2870/5005] Time 0.213 (0.211) Data 0.041 (0.047) Loss 2.1642 (2.3084) Prec@1 48.828 (47.360) Prec@5 75.391 (72.603)
Epoch: [51][2880/5005] Time 0.206 (0.211) Data 0.046 (0.047) Loss 2.2188 (2.3082) Prec@1 49.219 (47.365) Prec@5 75.781 (72.605)
Epoch: [51][2890/5005] Time 0.200 (0.211) Data 0.050 (0.047) Loss 2.3460 (2.3082) Prec@1 42.969 (47.366) Prec@5 71.094 (72.608)
Epoch: [51][2900/5005] Time 0.198 (0.211) Data 0.045 (0.047) Loss 1.9212 (2.3078) Prec@1 54.297 (47.370) Prec@5 77.344 (72.616)
Epoch: [51][2910/5005] Time 0.214 (0.211) Data 0.043 (0.047) Loss 2.2901 (2.3078) Prec@1 44.141 (47.372) Prec@5 74.609 (72.617)
Epoch: [51][2920/5005] Time 0.198 (0.211) Data 0.067 (0.047) Loss 2.3912 (2.3078) Prec@1 43.359 (47.372) Prec@5 72.266 (72.620)
Epoch: [51][2930/5005] Time 0.189 (0.211) Data 0.057 (0.047) Loss 2.3657 (2.3078) Prec@1 47.656 (47.372) Prec@5 74.219 (72.622)
Epoch: [51][2940/5005] Time 0.195 (0.211) Data 0.056 (0.047) Loss 2.2895 (2.3076) Prec@1 43.359 (47.373) Prec@5 74.219 (72.628)
Epoch: [51][2950/5005] Time 0.209 (0.211) Data 0.055 (0.047) Loss 2.4842 (2.3074) Prec@1 44.531 (47.376) Prec@5 70.312 (72.632)
Epoch: [51][2960/5005] Time 0.199 (0.211) Data 0.050 (0.047) Loss 2.2600 (2.3073) Prec@1 50.000 (47.377) Prec@5 73.438 (72.633)
Epoch: [51][2970/5005] Time 0.210 (0.211) Data 0.044 (0.047) Loss 2.4366 (2.3072) Prec@1 41.406 (47.376) Prec@5 70.703 (72.635)
Epoch: [51][2980/5005] Time 0.210 (0.211) Data 0.044 (0.047) Loss 2.2583 (2.3070) Prec@1 46.484 (47.379) Prec@5 71.484 (72.636)
Epoch: [51][2990/5005] Time 0.212 (0.211) Data 0.041 (0.047) Loss 2.2919 (2.3071) Prec@1 48.047 (47.375) Prec@5 74.609 (72.634)
Epoch: [51][3000/5005] Time 0.214 (0.211) Data 0.044 (0.047) Loss 2.2658 (2.3070) Prec@1 48.047 (47.378) Prec@5 73.828 (72.636)
Epoch: [51][3010/5005] Time 0.212 (0.211) Data 0.044 (0.047) Loss 2.2634 (2.3070) Prec@1 49.219 (47.378) Prec@5 73.047 (72.637)
Epoch: [51][3020/5005] Time 0.207 (0.211) Data 0.045 (0.047) Loss 2.1880 (2.3072) Prec@1 47.266 (47.377) Prec@5 74.609 (72.634)
Epoch: [51][3030/5005] Time 0.212 (0.211) Data 0.047 (0.047) Loss 2.2798 (2.3071) Prec@1 48.438 (47.380) Prec@5 76.172 (72.636)
Epoch: [51][3040/5005] Time 0.205 (0.211) Data 0.044 (0.047) Loss 2.1541 (2.3069) Prec@1 48.047 (47.389) Prec@5 74.609 (72.637)
Epoch: [51][3050/5005] Time 0.212 (0.211) Data 0.045 (0.047) Loss 2.2729 (2.3070) Prec@1 46.484 (47.384) Prec@5 71.875 (72.638)
Epoch: [51][3060/5005] Time 0.207 (0.211) Data 0.052 (0.047) Loss 2.1488 (2.3069) Prec@1 52.344 (47.383) Prec@5 74.219 (72.639)
Epoch: [51][3070/5005] Time 0.201 (0.211) Data 0.059 (0.047) Loss 2.4066 (2.3070) Prec@1 43.750 (47.381) Prec@5 71.875 (72.637)
Epoch: [51][3080/5005] Time 0.210 (0.211) Data 0.050 (0.047) Loss 2.1374 (2.3070) Prec@1 50.781 (47.376) Prec@5 75.781 (72.634)
Epoch: [51][3090/5005] Time 0.206 (0.211) Data 0.046 (0.047) Loss 2.5229 (2.3068) Prec@1 42.188 (47.378) Prec@5 67.578 (72.637)
Epoch: [51][3100/5005] Time 0.204 (0.211) Data 0.047 (0.047) Loss 2.3699 (2.3068) Prec@1 44.922 (47.376) Prec@5 69.922 (72.637)
Epoch: [51][3110/5005] Time 0.207 (0.211) Data 0.041 (0.047) Loss 2.1368 (2.3065) Prec@1 47.656 (47.383) Prec@5 77.344 (72.645)
Epoch: [51][3120/5005] Time 0.213 (0.211) Data 0.044 (0.047) Loss 2.3149 (2.3064) Prec@1 45.703 (47.382) Prec@5 72.266 (72.647)
Epoch: [51][3130/5005] Time 0.196 (0.211) Data 0.050 (0.047) Loss 2.4082 (2.3062) Prec@1 45.312 (47.389) Prec@5 71.484 (72.651)
Epoch: [51][3140/5005] Time 0.206 (0.211) Data 0.042 (0.047) Loss 2.0137 (2.3059) Prec@1 53.906 (47.393) Prec@5 71.875 (72.655)
Epoch: [51][3150/5005] Time 0.214 (0.211) Data 0.042 (0.047) Loss 2.1404 (2.3058) Prec@1 50.000 (47.396) Prec@5 74.219 (72.657)
Epoch: [51][3160/5005] Time 0.215 (0.211) Data 0.043 (0.047) Loss 2.1316 (2.3058) Prec@1 51.562 (47.398) Prec@5 73.828 (72.656)
Epoch: [51][3170/5005] Time 0.206 (0.211) Data 0.048 (0.047) Loss 2.4422 (2.3058) Prec@1 42.969 (47.396) Prec@5 69.531 (72.654)
Epoch: [51][3180/5005] Time 0.203 (0.211) Data 0.042 (0.047) Loss 2.1941 (2.3059) Prec@1 50.781 (47.396) Prec@5 71.094 (72.652)
Epoch: [51][3190/5005] Time 0.198 (0.211) Data 0.060 (0.047) Loss 2.3169 (2.3060) Prec@1 42.188 (47.394) Prec@5 75.781 (72.654)
Epoch: [51][3200/5005] Time 0.212 (0.211) Data 0.044 (0.047) Loss 2.2791 (2.3058) Prec@1 47.266 (47.401) Prec@5 71.484 (72.653)
Epoch: [51][3210/5005] Time 0.208 (0.211) Data 0.061 (0.047) Loss 2.3044 (2.3058) Prec@1 48.047 (47.402) Prec@5 72.656 (72.655)
Epoch: [51][3220/5005] Time 0.213 (0.211) Data 0.043 (0.047) Loss 2.3236 (2.3059) Prec@1 49.219 (47.403) Prec@5 72.656 (72.655)
Epoch: [51][3230/5005] Time 0.211 (0.211) Data 0.044 (0.047) Loss 2.3318 (2.3057) Prec@1 48.047 (47.407) Prec@5 68.750 (72.656)
Epoch: [51][3240/5005] Time 0.215 (0.211) Data 0.046 (0.047) Loss 2.5225 (2.3060) Prec@1 44.531 (47.403) Prec@5 67.969 (72.650)
Epoch: [51][3250/5005] Time 0.196 (0.211) Data 0.043 (0.047) Loss 2.3092 (2.3060) Prec@1 50.000 (47.402) Prec@5 73.828 (72.648)
Epoch: [51][3260/5005] Time 0.201 (0.211) Data 0.051 (0.047) Loss 2.2504 (2.3061) Prec@1 49.609 (47.402) Prec@5 72.266 (72.648)
Epoch: [51][3270/5005] Time 0.211 (0.211) Data 0.044 (0.047) Loss 2.3304 (2.3058) Prec@1 49.219 (47.404) Prec@5 73.438 (72.654)
Epoch: [51][3280/5005] Time 0.203 (0.211) Data 0.056 (0.047) Loss 2.1699 (2.3058) Prec@1 54.688 (47.402) Prec@5 74.609 (72.653)
Epoch: [51][3290/5005] Time 0.205 (0.211) Data 0.046 (0.047) Loss 2.2554 (2.3057) Prec@1 50.391 (47.402) Prec@5 69.531 (72.654)
Epoch: [51][3300/5005] Time 0.213 (0.211) Data 0.048 (0.047) Loss 2.1628 (2.3056) Prec@1 46.484 (47.401) Prec@5 73.828 (72.653)
Epoch: [51][3310/5005] Time 0.207 (0.211) Data 0.052 (0.047) Loss 2.0934 (2.3055) Prec@1 53.125 (47.404) Prec@5 73.828 (72.655)
Epoch: [51][3320/5005] Time 0.209 (0.211) Data 0.047 (0.047) Loss 2.4693 (2.3055) Prec@1 46.094 (47.402) Prec@5 67.188 (72.653)
Epoch: [51][3330/5005] Time 0.199 (0.211) Data 0.045 (0.047) Loss 2.3042 (2.3055) Prec@1 46.484 (47.403) Prec@5 70.312 (72.652)
Epoch: [51][3340/5005] Time 0.212 (0.211) Data 0.044 (0.047) Loss 2.3208 (2.3055) Prec@1 47.656 (47.402) Prec@5 71.875 (72.652)
Epoch: [51][3350/5005] Time 0.205 (0.211) Data 0.043 (0.047) Loss 2.3986 (2.3055) Prec@1 46.094 (47.402) Prec@5 69.531 (72.650)
Epoch: [51][3360/5005] Time 0.213 (0.211) Data 0.044 (0.047) Loss 2.1826 (2.3055) Prec@1 48.828 (47.403) Prec@5 73.828 (72.651)
Epoch: [51][3370/5005] Time 0.200 (0.211) Data 0.052 (0.047) Loss 2.3437 (2.3056) Prec@1 43.750 (47.400) Prec@5 75.781 (72.649)
Epoch: [51][3380/5005] Time 0.199 (0.210) Data 0.050 (0.047) Loss 2.2820 (2.3055) Prec@1 49.609 (47.401) Prec@5 72.266 (72.650)
Epoch: [51][3390/5005] Time 0.213 (0.210) Data 0.048 (0.047) Loss 2.1916 (2.3055) Prec@1 51.172 (47.398) Prec@5 73.047 (72.649)
Epoch: [51][3400/5005] Time 0.210 (0.210) Data 0.050 (0.047) Loss 2.2636 (2.3055) Prec@1 48.828 (47.400) Prec@5 75.781 (72.651)
Epoch: [51][3410/5005] Time 0.208 (0.210) Data 0.047 (0.047) Loss 2.1346 (2.3054) Prec@1 52.734 (47.404) Prec@5 75.391 (72.652)
Epoch: [51][3420/5005] Time 0.212 (0.210) Data 0.045 (0.047) Loss 2.2091 (2.3053) Prec@1 51.562 (47.406) Prec@5 74.609 (72.654)
Epoch: [51][3430/5005] Time 0.213 (0.210) Data 0.048 (0.047) Loss 2.1160 (2.3052) Prec@1 52.344 (47.408) Prec@5 75.391 (72.658)
Epoch: [51][3440/5005] Time 0.202 (0.210) Data 0.047 (0.047) Loss 2.3624 (2.3050) Prec@1 45.703 (47.409) Prec@5 69.922 (72.658)
Epoch: [51][3450/5005] Time 0.200 (0.210) Data 0.048 (0.047) Loss 2.0901 (2.3048) Prec@1 50.000 (47.411) Prec@5 74.219 (72.659)
Epoch: [51][3460/5005] Time 0.212 (0.210) Data 0.044 (0.047) Loss 2.2340 (2.3049) Prec@1 50.391 (47.413) Prec@5 72.266 (72.659)
Epoch: [51][3470/5005] Time 0.204 (0.210) Data 0.042 (0.047) Loss 2.1569 (2.3047) Prec@1 47.656 (47.417) Prec@5 74.609 (72.661)
Epoch: [51][3480/5005] Time 0.207 (0.210) Data 0.056 (0.047) Loss 2.3467 (2.3044) Prec@1 47.656 (47.422) Prec@5 71.484 (72.664)
Epoch: [51][3490/5005] Time 0.206 (0.210) Data 0.044 (0.047) Loss 2.3196 (2.3044) Prec@1 47.266 (47.420) Prec@5 76.172 (72.667)
Epoch: [51][3500/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.2275 (2.3044) Prec@1 46.875 (47.418) Prec@5 72.266 (72.668)
Epoch: [51][3510/5005] Time 0.197 (0.210) Data 0.042 (0.047) Loss 2.2903 (2.3043) Prec@1 45.312 (47.416) Prec@5 70.312 (72.669)
Epoch: [51][3520/5005] Time 0.206 (0.210) Data 0.040 (0.047) Loss 2.4565 (2.3043) Prec@1 46.875 (47.415) Prec@5 71.484 (72.668)
Epoch: [51][3530/5005] Time 0.207 (0.210) Data 0.041 (0.047) Loss 2.2042 (2.3042) Prec@1 51.562 (47.421) Prec@5 76.562 (72.670)
Epoch: [51][3540/5005] Time 0.211 (0.210) Data 0.052 (0.047) Loss 2.1843 (2.3040) Prec@1 51.953 (47.423) Prec@5 77.734 (72.675)
Epoch: [51][3550/5005] Time 0.207 (0.210) Data 0.046 (0.047) Loss 2.4787 (2.3039) Prec@1 43.359 (47.427) Prec@5 67.188 (72.676)
Epoch: [51][3560/5005] Time 0.212 (0.210) Data 0.044 (0.047) Loss 2.2967 (2.3037) Prec@1 47.656 (47.430) Prec@5 74.219 (72.679)
Epoch: [51][3570/5005] Time 0.209 (0.210) Data 0.065 (0.047) Loss 2.3296 (2.3037) Prec@1 46.484 (47.429) Prec@5 72.266 (72.676)
Epoch: [51][3580/5005] Time 0.209 (0.210) Data 0.049 (0.047) Loss 2.2072 (2.3038) Prec@1 50.781 (47.426) Prec@5 73.438 (72.675)
Epoch: [51][3590/5005] Time 0.204 (0.210) Data 0.046 (0.047) Loss 2.3785 (2.3036) Prec@1 48.438 (47.432) Prec@5 70.312 (72.678)
Epoch: [51][3600/5005] Time 0.207 (0.210) Data 0.046 (0.047) Loss 2.3423 (2.3035) Prec@1 48.438 (47.437) Prec@5 69.531 (72.680)
Epoch: [51][3610/5005] Time 0.210 (0.210) Data 0.048 (0.047) Loss 2.1291 (2.3033) Prec@1 53.125 (47.441) Prec@5 75.781 (72.683)
Epoch: [51][3620/5005] Time 0.210 (0.210) Data 0.046 (0.047) Loss 2.4284 (2.3029) Prec@1 42.969 (47.447) Prec@5 66.406 (72.688)
Epoch: [51][3630/5005] Time 0.211 (0.210) Data 0.043 (0.047) Loss 2.4705 (2.3029) Prec@1 47.266 (47.449) Prec@5 67.969 (72.689)
Epoch: [51][3640/5005] Time 0.213 (0.210) Data 0.043 (0.047) Loss 2.2440 (2.3028) Prec@1 46.875 (47.452) Prec@5 73.047 (72.688)
Epoch: [51][3650/5005] Time 0.203 (0.210) Data 0.048 (0.047) Loss 2.0507 (2.3027) Prec@1 50.781 (47.452) Prec@5 77.344 (72.690)
Epoch: [51][3660/5005] Time 0.212 (0.210) Data 0.042 (0.047) Loss 2.3785 (2.3026) Prec@1 43.750 (47.451) Prec@5 71.484 (72.692)
Epoch: [51][3670/5005] Time 0.215 (0.210) Data 0.043 (0.047) Loss 2.3631 (2.3027) Prec@1 45.703 (47.449) Prec@5 74.219 (72.691)
Epoch: [51][3680/5005] Time 0.209 (0.210) Data 0.043 (0.047) Loss 2.0644 (2.3027) Prec@1 46.484 (47.446) Prec@5 77.344 (72.693)
Epoch: [51][3690/5005] Time 0.214 (0.210) Data 0.044 (0.047) Loss 2.1787 (2.3026) Prec@1 51.172 (47.449) Prec@5 75.000 (72.695)
Epoch: [51][3700/5005] Time 0.208 (0.210) Data 0.044 (0.047) Loss 2.3292 (2.3026) Prec@1 44.922 (47.447) Prec@5 74.609 (72.695)
Epoch: [51][3710/5005] Time 0.207 (0.210) Data 0.042 (0.047) Loss 2.2174 (2.3025) Prec@1 49.609 (47.447) Prec@5 72.266 (72.697)
Epoch: [51][3720/5005] Time 0.203 (0.210) Data 0.052 (0.047) Loss 2.3952 (2.3024) Prec@1 48.047 (47.445) Prec@5 69.922 (72.698)
Epoch: [51][3730/5005] Time 0.200 (0.210) Data 0.044 (0.047) Loss 2.1122 (2.3022) Prec@1 50.781 (47.450) Prec@5 76.953 (72.701)
Epoch: [51][3740/5005] Time 0.197 (0.210) Data 0.057 (0.047) Loss 2.1439 (2.3021) Prec@1 50.781 (47.454) Prec@5 78.125 (72.706)
Epoch: [51][3750/5005] Time 0.208 (0.210) Data 0.049 (0.047) Loss 2.3130 (2.3022) Prec@1 46.484 (47.453) Prec@5 71.875 (72.701)
Epoch: [51][3760/5005] Time 0.212 (0.210) Data 0.043 (0.047) Loss 2.2834 (2.3023) Prec@1 46.484 (47.452) Prec@5 72.266 (72.700)
Epoch: [51][3770/5005] Time 0.204 (0.210) Data 0.054 (0.047) Loss 2.2847 (2.3021) Prec@1 44.531 (47.451) Prec@5 72.656 (72.699)
Epoch: [51][3780/5005] Time 0.207 (0.210) Data 0.041 (0.047) Loss 2.2375 (2.3021) Prec@1 49.609 (47.452) Prec@5 72.656 (72.699)
Epoch: [51][3790/5005] Time 0.203 (0.210) Data 0.044 (0.047) Loss 2.4062 (2.3022) Prec@1 49.219 (47.450) Prec@5 72.656 (72.699)
Epoch: [51][3800/5005] Time 0.201 (0.210) Data 0.046 (0.047) Loss 2.2137 (2.3024) Prec@1 49.219 (47.445) Prec@5 73.828 (72.695)
Epoch: [51][3810/5005] Time 0.209 (0.210) Data 0.066 (0.047) Loss 2.2960 (2.3024) Prec@1 47.266 (47.444) Prec@5 72.266 (72.694)
Epoch: [51][3820/5005] Time 0.201 (0.210) Data 0.062 (0.047) Loss 2.3370 (2.3022) Prec@1 46.875 (47.446) Prec@5 73.438 (72.698)
Epoch: [51][3830/5005] Time 0.201 (0.210) Data 0.045 (0.047) Loss 2.1895 (2.3020) Prec@1 44.922 (47.450) Prec@5 73.828 (72.701)
Epoch: [51][3840/5005] Time 0.214 (0.210) Data 0.066 (0.047) Loss 2.4344 (2.3020) Prec@1 44.141 (47.447) Prec@5 67.578 (72.701)
Epoch: [51][3850/5005] Time 0.200 (0.210) Data 0.051 (0.047) Loss 2.3587 (2.3019) Prec@1 42.969 (47.446) Prec@5 71.875 (72.704)
Epoch: [51][3860/5005] Time 0.207 (0.210) Data 0.057 (0.047) Loss 2.0814 (2.3018) Prec@1 51.172 (47.447) Prec@5 75.781 (72.707)
Epoch: [51][3870/5005] Time 0.197 (0.210) Data 0.055 (0.047) Loss 2.2183 (2.3018) Prec@1 48.047 (47.446) Prec@5 73.047 (72.708)
Epoch: [51][3880/5005] Time 0.210 (0.210) Data 0.046 (0.047) Loss 2.0773 (2.3018) Prec@1 52.344 (47.448) Prec@5 77.734 (72.709)
Epoch: [51][3890/5005] Time 0.207 (0.210) Data 0.042 (0.047) Loss 2.4975 (2.3017) Prec@1 44.922 (47.449) Prec@5 71.094 (72.709)
Epoch: [51][3900/5005] Time 0.207 (0.210) Data 0.043 (0.047) Loss 2.5100 (2.3018) Prec@1 42.969 (47.449) Prec@5 68.359 (72.707)
Epoch: [51][3910/5005] Time 0.202 (0.210) Data 0.043 (0.047) Loss 2.2521 (2.3017) Prec@1 46.875 (47.453) Prec@5 73.828 (72.708)
Epoch: [51][3920/5005] Time 0.210 (0.210) Data 0.047 (0.047) Loss 2.2011 (2.3017) Prec@1 50.781 (47.455) Prec@5 74.219 (72.708)
Epoch: [51][3930/5005] Time 0.208 (0.210) Data 0.045 (0.047) Loss 2.1400 (2.3015) Prec@1 47.266 (47.458) Prec@5 75.000 (72.711)
Epoch: [51][3940/5005] Time 0.201 (0.210) Data 0.046 (0.047) Loss 2.2041 (2.3014) Prec@1 48.438 (47.457) Prec@5 70.703 (72.712)
Epoch: [51][3950/5005] Time 0.200 (0.210) Data 0.040 (0.047) Loss 2.2086 (2.3012) Prec@1 50.000 (47.461) Prec@5 77.734 (72.718)
Epoch: [51][3960/5005] Time 0.205 (0.210) Data 0.042 (0.047) Loss 2.1709 (2.3011) Prec@1 44.922 (47.459) Prec@5 75.000 (72.719)
Epoch: [51][3970/5005] Time 0.209 (0.210) Data 0.043 (0.047) Loss 2.3078 (2.3011) Prec@1 48.828 (47.459) Prec@5 72.656 (72.719)
Epoch: [51][3980/5005] Time 0.207 (0.210) Data 0.046 (0.047) Loss 2.0523 (2.3010) Prec@1 49.219 (47.460) Prec@5 78.125 (72.722)
Epoch: [51][3990/5005] Time 0.211 (0.210) Data 0.046 (0.047) Loss 2.3409 (2.3010) Prec@1 45.703 (47.457) Prec@5 71.094 (72.723)
Epoch: [51][4000/5005] Time 0.203 (0.210) Data 0.045 (0.047) Loss 2.1631 (2.3010) Prec@1 46.094 (47.456) Prec@5 77.344 (72.722)
Epoch: [51][4010/5005] Time 0.218 (0.210) Data 0.047 (0.047) Loss 2.3028 (2.3008) Prec@1 45.312 (47.459) Prec@5 73.828 (72.723)
Epoch: [51][4020/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.3529 (2.3007) Prec@1 46.484 (47.457) Prec@5 71.484 (72.726)
Epoch: [51][4030/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.3859 (2.3009) Prec@1 48.438 (47.456) Prec@5 72.266 (72.719)
Epoch: [51][4040/5005] Time 0.206 (0.210) Data 0.043 (0.047) Loss 2.3366 (2.3009) Prec@1 47.266 (47.458) Prec@5 67.969 (72.719)
Epoch: [51][4050/5005] Time 0.210 (0.210) Data 0.046 (0.047) Loss 2.5518 (2.3009) Prec@1 42.578 (47.460) Prec@5 69.531 (72.722)
Epoch: [51][4060/5005] Time 0.207 (0.210) Data 0.049 (0.047) Loss 2.4233 (2.3008) Prec@1 43.750 (47.461) Prec@5 67.578 (72.724)
Epoch: [51][4070/5005] Time 0.207 (0.210) Data 0.049 (0.047) Loss 2.4092 (2.3008) Prec@1 47.656 (47.461) Prec@5 72.656 (72.725)
Epoch: [51][4080/5005] Time 0.208 (0.210) Data 0.047 (0.047) Loss 2.2146 (2.3008) Prec@1 49.609 (47.462) Prec@5 75.781 (72.725)
Epoch: [51][4090/5005] Time 0.210 (0.210) Data 0.042 (0.047) Loss 2.4495 (2.3007) Prec@1 45.312 (47.462) Prec@5 72.656 (72.724)
Epoch: [51][4100/5005] Time 0.212 (0.210) Data 0.043 (0.047) Loss 2.3241 (2.3007) Prec@1 46.875 (47.461) Prec@5 72.656 (72.724)
Epoch: [51][4110/5005] Time 0.211 (0.210) Data 0.044 (0.047) Loss 2.3751 (2.3006) Prec@1 47.266 (47.462) Prec@5 71.875 (72.726)
Epoch: [51][4120/5005] Time 0.211 (0.210) Data 0.043 (0.047) Loss 2.4833 (2.3005) Prec@1 44.141 (47.461) Prec@5 68.359 (72.727)
Epoch: [51][4130/5005] Time 0.214 (0.210) Data 0.044 (0.047) Loss 2.5393 (2.3003) Prec@1 41.797 (47.465) Prec@5 66.797 (72.729)
Epoch: [51][4140/5005] Time 0.210 (0.210) Data 0.041 (0.047) Loss 2.3757 (2.3003) Prec@1 47.266 (47.466) Prec@5 70.703 (72.732)
Epoch: [51][4150/5005] Time 0.214 (0.210) Data 0.044 (0.047) Loss 2.4411 (2.3003) Prec@1 43.750 (47.466) Prec@5 70.312 (72.732)
Epoch: [51][4160/5005] Time 0.209 (0.210) Data 0.040 (0.047) Loss 2.2754 (2.3004) Prec@1 50.000 (47.464) Prec@5 74.609 (72.731)
Epoch: [51][4170/5005] Time 0.214 (0.210) Data 0.043 (0.047) Loss 2.2860 (2.3002) Prec@1 45.312 (47.469) Prec@5 74.219 (72.734)
Epoch: [51][4180/5005] Time 0.203 (0.210) Data 0.058 (0.047) Loss 2.2302 (2.2999) Prec@1 50.781 (47.473) Prec@5 76.172 (72.737)
Epoch: [51][4190/5005] Time 0.203 (0.210) Data 0.046 (0.047) Loss 2.0350 (2.2998) Prec@1 52.344 (47.476) Prec@5 77.734 (72.738)
Epoch: [51][4200/5005] Time 0.215 (0.210) Data 0.058 (0.047) Loss 2.0447 (2.2998) Prec@1 55.469 (47.480) Prec@5 73.438 (72.739)
Epoch: [51][4210/5005] Time 0.203 (0.210) Data 0.060 (0.047) Loss 2.1005 (2.2997) Prec@1 48.438 (47.480) Prec@5 75.000 (72.740)
Epoch: [51][4220/5005] Time 0.200 (0.210) Data 0.046 (0.047) Loss 2.3980 (2.2999) Prec@1 44.922 (47.479) Prec@5 71.875 (72.736)
Epoch: [51][4230/5005] Time 0.211 (0.210) Data 0.046 (0.047) Loss 2.3834 (2.3000) Prec@1 46.484 (47.479) Prec@5 71.484 (72.734)
Epoch: [51][4240/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.2016 (2.3000) Prec@1 47.266 (47.476) Prec@5 75.391 (72.734)
Epoch: [51][4250/5005] Time 0.208 (0.210) Data 0.042 (0.047) Loss 2.1985 (2.2998) Prec@1 46.875 (47.479) Prec@5 73.047 (72.735)
Epoch: [51][4260/5005] Time 0.213 (0.210) Data 0.041 (0.047) Loss 2.2625 (2.2997) Prec@1 46.094 (47.481) Prec@5 72.656 (72.736)
Epoch: [51][4270/5005] Time 0.206 (0.210) Data 0.042 (0.047) Loss 2.4727 (2.2998) Prec@1 46.094 (47.481) Prec@5 69.531 (72.733)
Epoch: [51][4280/5005] Time 0.202 (0.210) Data 0.042 (0.047) Loss 2.3602 (2.2997) Prec@1 45.312 (47.483) Prec@5 73.047 (72.733)
Epoch: [51][4290/5005] Time 0.210 (0.210) Data 0.043 (0.047) Loss 2.5274 (2.2998) Prec@1 42.188 (47.483) Prec@5 70.312 (72.733)
Epoch: [51][4300/5005] Time 0.202 (0.210) Data 0.048 (0.047) Loss 2.0841 (2.2996) Prec@1 54.297 (47.488) Prec@5 74.609 (72.738)
Epoch: [51][4310/5005] Time 0.203 (0.210) Data 0.045 (0.047) Loss 2.2545 (2.2996) Prec@1 50.000 (47.491) Prec@5 73.438 (72.736)
Epoch: [51][4320/5005] Time 0.213 (0.210) Data 0.049 (0.047) Loss 2.1814 (2.2996) Prec@1 50.391 (47.492) Prec@5 76.172 (72.738)
Epoch: [51][4330/5005] Time 0.216 (0.210) Data 0.046 (0.047) Loss 2.0149 (2.2995) Prec@1 51.953 (47.494) Prec@5 75.781 (72.740)
Epoch: [51][4340/5005] Time 0.204 (0.210) Data 0.051 (0.047) Loss 2.2580 (2.2996) Prec@1 48.828 (47.493) Prec@5 72.266 (72.741)
Epoch: [51][4350/5005] Time 0.199 (0.210) Data 0.064 (0.047) Loss 2.4219 (2.2995) Prec@1 42.969 (47.494) Prec@5 70.703 (72.743)
Epoch: [51][4360/5005] Time 0.216 (0.210) Data 0.046 (0.047) Loss 2.1611 (2.2993) Prec@1 48.047 (47.497) Prec@5 74.219 (72.745)
Epoch: [51][4370/5005] Time 0.199 (0.210) Data 0.056 (0.047) Loss 2.1928 (2.2992) Prec@1 50.000 (47.499) Prec@5 75.391 (72.747)
Epoch: [51][4380/5005] Time 0.213 (0.210) Data 0.048 (0.047) Loss 2.3234 (2.2992) Prec@1 48.047 (47.500) Prec@5 71.875 (72.747)
Epoch: [51][4390/5005] Time 0.201 (0.210) Data 0.044 (0.047) Loss 2.3713 (2.2991) Prec@1 47.266 (47.504) Prec@5 69.531 (72.749)
Epoch: [51][4400/5005] Time 0.216 (0.210) Data 0.041 (0.047) Loss 2.0970 (2.2990) Prec@1 47.656 (47.505) Prec@5 74.219 (72.750)
Epoch: [51][4410/5005] Time 0.209 (0.210) Data 0.048 (0.047) Loss 2.2727 (2.2990) Prec@1 45.703 (47.505) Prec@5 71.875 (72.752)
Epoch: [51][4420/5005] Time 0.211 (0.210) Data 0.042 (0.047) Loss 1.9327 (2.2989) Prec@1 52.734 (47.503) Prec@5 78.906 (72.752)
Epoch: [51][4430/5005] Time 0.210 (0.210) Data 0.046 (0.047) Loss 2.3336 (2.2987) Prec@1 44.922 (47.505) Prec@5 70.703 (72.756)
Epoch: [51][4440/5005] Time 0.200 (0.210) Data 0.048 (0.047) Loss 2.4667 (2.2987) Prec@1 44.531 (47.504) Prec@5 72.266 (72.755)
Epoch: [51][4450/5005] Time 0.206 (0.210) Data 0.052 (0.047) Loss 2.1204 (2.2986) Prec@1 49.609 (47.502) Prec@5 76.953 (72.755)
Epoch: [51][4460/5005] Time 0.213 (0.210) Data 0.044 (0.047) Loss 2.3006 (2.2985) Prec@1 51.172 (47.506) Prec@5 72.266 (72.757)
Epoch: [51][4470/5005] Time 0.211 (0.210) Data 0.043 (0.047) Loss 2.1464 (2.2986) Prec@1 48.047 (47.506) Prec@5 77.344 (72.758)
Epoch: [51][4480/5005] Time 0.211 (0.210) Data 0.059 (0.047) Loss 2.0340 (2.2986) Prec@1 50.781 (47.507) Prec@5 75.391 (72.755)
Epoch: [51][4490/5005] Time 0.205 (0.210) Data 0.059 (0.047) Loss 2.2149 (2.2986) Prec@1 50.781 (47.506) Prec@5 74.219 (72.755)
Epoch: [51][4500/5005] Time 0.202 (0.210) Data 0.053 (0.047) Loss 2.3336 (2.2986) Prec@1 49.609 (47.506) Prec@5 74.219 (72.757)
Epoch: [51][4510/5005] Time 0.207 (0.210) Data 0.051 (0.047) Loss 2.0339 (2.2985) Prec@1 51.953 (47.506) Prec@5 76.562 (72.758)
Epoch: [51][4520/5005] Time 0.214 (0.210) Data 0.042 (0.047) Loss 2.1704 (2.2984) Prec@1 48.047 (47.506) Prec@5 79.688 (72.763)
Epoch: [51][4530/5005] Time 0.195 (0.210) Data 0.041 (0.047) Loss 2.1475 (2.2983) Prec@1 48.828 (47.508) Prec@5 75.781 (72.766)
Epoch: [51][4540/5005] Time 0.201 (0.210) Data 0.055 (0.047) Loss 2.2935 (2.2984) Prec@1 48.047 (47.507) Prec@5 75.000 (72.765)
Epoch: [51][4550/5005] Time 0.203 (0.210) Data 0.058 (0.047) Loss 2.3999 (2.2983) Prec@1 42.578 (47.508) Prec@5 69.531 (72.765)
Epoch: [51][4560/5005] Time 0.213 (0.210) Data 0.049 (0.047) Loss 2.3645 (2.2984) Prec@1 44.922 (47.506) Prec@5 70.703 (72.763)
Epoch: [51][4570/5005] Time 0.203 (0.210) Data 0.046 (0.047) Loss 2.4614 (2.2983) Prec@1 45.312 (47.508) Prec@5 70.703 (72.764)
Epoch: [51][4580/5005] Time 0.215 (0.210) Data 0.042 (0.047) Loss 2.3411 (2.2983) Prec@1 43.750 (47.509) Prec@5 67.578 (72.764)
Epoch: [51][4590/5005] Time 0.205 (0.210) Data 0.041 (0.047) Loss 2.1550 (2.2982) Prec@1 53.516 (47.511) Prec@5 76.172 (72.764)
Epoch: [51][4600/5005] Time 0.206 (0.210) Data 0.041 (0.047) Loss 2.1463 (2.2983) Prec@1 49.219 (47.510) Prec@5 75.391 (72.763)
Epoch: [51][4610/5005] Time 0.205 (0.210) Data 0.046 (0.047) Loss 2.1385 (2.2983) Prec@1 49.219 (47.512) Prec@5 76.562 (72.765)
Epoch: [51][4620/5005] Time 0.212 (0.210) Data 0.047 (0.047) Loss 2.1615 (2.2982) Prec@1 50.391 (47.516) Prec@5 75.781 (72.766)
Epoch: [51][4630/5005] Time 0.217 (0.210) Data 0.045 (0.047) Loss 2.1208 (2.2980) Prec@1 50.391 (47.519) Prec@5 76.172 (72.770)
Epoch: [51][4640/5005] Time 0.205 (0.210) Data 0.046 (0.047) Loss 2.3547 (2.2978) Prec@1 44.922 (47.517) Prec@5 71.875 (72.773)
Epoch: [51][4650/5005] Time 0.205 (0.210) Data 0.045 (0.047) Loss 2.3041 (2.2977) Prec@1 44.922 (47.517) Prec@5 73.828 (72.776)
Epoch: [51][4660/5005] Time 0.214 (0.210) Data 0.043 (0.047) Loss 2.4221 (2.2977) Prec@1 42.578 (47.518) Prec@5 69.531 (72.776)
Epoch: [51][4670/5005] Time 0.206 (0.210) Data 0.046 (0.047) Loss 2.1450 (2.2975) Prec@1 48.047 (47.519) Prec@5 74.609 (72.780)
Epoch: [51][4680/5005] Time 0.197 (0.210) Data 0.043 (0.047) Loss 2.3327 (2.2975) Prec@1 46.094 (47.519) Prec@5 72.266 (72.780)
Epoch: [51][4690/5005] Time 0.212 (0.210) Data 0.048 (0.047) Loss 2.2520 (2.2975) Prec@1 48.438 (47.520) Prec@5 72.266 (72.781)
Epoch: [51][4700/5005] Time 0.214 (0.210) Data 0.043 (0.047) Loss 2.2685 (2.2975) Prec@1 47.266 (47.522) Prec@5 75.000 (72.779)
Epoch: [51][4710/5005] Time 0.209 (0.210) Data 0.045 (0.047) Loss 2.2626 (2.2973) Prec@1 45.312 (47.523) Prec@5 75.391 (72.783)
Epoch: [51][4720/5005] Time 0.215 (0.210) Data 0.042 (0.047) Loss 2.1344 (2.2973) Prec@1 52.344 (47.520) Prec@5 76.953 (72.784)
Epoch: [51][4730/5005] Time 0.208 (0.210) Data 0.044 (0.047) Loss 2.3208 (2.2974) Prec@1 47.656 (47.516) Prec@5 71.875 (72.781)
Epoch: [51][4740/5005] Time 0.199 (0.210) Data 0.046 (0.047) Loss 2.3039 (2.2973) Prec@1 47.656 (47.519) Prec@5 73.438 (72.782)
Epoch: [51][4750/5005] Time 0.208 (0.210) Data 0.044 (0.047) Loss 2.2091 (2.2972) Prec@1 50.391 (47.522) Prec@5 73.438 (72.784)
Epoch: [51][4760/5005] Time 0.210 (0.210) Data 0.061 (0.047) Loss 2.5190 (2.2970) Prec@1 41.797 (47.524) Prec@5 72.656 (72.789)
Epoch: [51][4770/5005] Time 0.213 (0.210) Data 0.047 (0.047) Loss 2.3092 (2.2969) Prec@1 49.609 (47.527) Prec@5 70.703 (72.790)
Epoch: [51][4780/5005] Time 0.202 (0.210) Data 0.045 (0.047) Loss 2.3566 (2.2969) Prec@1 48.438 (47.529) Prec@5 72.656 (72.791)
Epoch: [51][4790/5005] Time 0.201 (0.210) Data 0.059 (0.047) Loss 2.5322 (2.2969) Prec@1 44.141 (47.531) Prec@5 68.750 (72.792)
Epoch: [51][4800/5005] Time 0.202 (0.210) Data 0.061 (0.047) Loss 2.3793 (2.2967) Prec@1 46.094 (47.532) Prec@5 68.359 (72.796)
Epoch: [51][4810/5005] Time 0.210 (0.210) Data 0.048 (0.047) Loss 2.4317 (2.2967) Prec@1 47.266 (47.532) Prec@5 71.484 (72.798)
Epoch: [51][4820/5005] Time 0.208 (0.210) Data 0.059 (0.047) Loss 2.4779 (2.2965) Prec@1 44.922 (47.533) Prec@5 68.359 (72.798)
Epoch: [51][4830/5005] Time 0.200 (0.210) Data 0.059 (0.047) Loss 2.2533 (2.2962) Prec@1 48.828 (47.541) Prec@5 74.609 (72.803)
Epoch: [51][4840/5005] Time 0.199 (0.210) Data 0.039 (0.047) Loss 2.1301 (2.2962) Prec@1 50.781 (47.541) Prec@5 75.000 (72.800)
Epoch: [51][4850/5005] Time 0.202 (0.210) Data 0.053 (0.047) Loss 2.3423 (2.2963) Prec@1 44.531 (47.539) Prec@5 73.828 (72.800)
Epoch: [51][4860/5005] Time 0.215 (0.210) Data 0.045 (0.047) Loss 2.3354 (2.2963) Prec@1 45.312 (47.543) Prec@5 71.484 (72.802)
Epoch: [51][4870/5005] Time 0.204 (0.210) Data 0.045 (0.047) Loss 2.2750 (2.2963) Prec@1 53.125 (47.544) Prec@5 69.922 (72.799)
Epoch: [51][4880/5005] Time 0.204 (0.210) Data 0.042 (0.047) Loss 2.1747 (2.2962) Prec@1 53.516 (47.546) Prec@5 71.484 (72.802)
Epoch: [51][4890/5005] Time 0.215 (0.210) Data 0.045 (0.047) Loss 2.3456 (2.2960) Prec@1 49.609 (47.547) Prec@5 72.656 (72.805)
Epoch: [51][4900/5005] Time 0.218 (0.210) Data 0.041 (0.047) Loss 2.1260 (2.2959) Prec@1 46.094 (47.548) Prec@5 73.828 (72.807)
Epoch: [51][4910/5005] Time 0.206 (0.210) Data 0.044 (0.047) Loss 2.3039 (2.2957) Prec@1 48.828 (47.552) Prec@5 73.047 (72.811)
Epoch: [51][4920/5005] Time 0.214 (0.210) Data 0.045 (0.047) Loss 2.1200 (2.2956) Prec@1 50.391 (47.554) Prec@5 72.266 (72.812)
Epoch: [51][4930/5005] Time 0.208 (0.210) Data 0.044 (0.047) Loss 2.4032 (2.2955) Prec@1 46.094 (47.557) Prec@5 71.875 (72.813)
Epoch: [51][4940/5005] Time 0.213 (0.210) Data 0.045 (0.047) Loss 2.3679 (2.2954) Prec@1 44.922 (47.559) Prec@5 72.656 (72.816)
Epoch: [51][4950/5005] Time 0.210 (0.210) Data 0.057 (0.047) Loss 2.1047 (2.2955) Prec@1 46.094 (47.558) Prec@5 77.734 (72.815)
Epoch: [51][4960/5005] Time 0.211 (0.210) Data 0.064 (0.047) Loss 2.4069 (2.2955) Prec@1 45.703 (47.558) Prec@5 72.656 (72.815)
Epoch: [51][4970/5005] Time 0.203 (0.210) Data 0.047 (0.047) Loss 2.4237 (2.2954) Prec@1 45.312 (47.560) Prec@5 72.266 (72.816)
Epoch: [51][4980/5005] Time 0.204 (0.210) Data 0.048 (0.047) Loss 2.2610 (2.2952) Prec@1 45.312 (47.563) Prec@5 76.953 (72.821)
Epoch: [51][4990/5005] Time 0.201 (0.210) Data 0.023 (0.047) Loss 2.3233 (2.2952) Prec@1 45.312 (47.566) Prec@5 69.531 (72.822)
Epoch: [51][5000/5005] Time 0.206 (0.210) Data 0.022 (0.047) Loss 2.3524 (2.2951) Prec@1 43.359 (47.567) Prec@5 75.000 (72.823)
Test: [0/196] Time 1.570 (1.570) Loss 2.4144 (2.4144) Prec@1 46.875 (46.875) Prec@5 69.141 (69.141)
Test: [10/196] Time 0.042 (0.268) Loss 2.5219 (2.5669) Prec@1 43.750 (43.359) Prec@5 69.922 (68.963)
Test: [20/196] Time 0.044 (0.246) Loss 2.4658 (2.5742) Prec@1 46.094 (43.229) Prec@5 72.656 (69.141)
Test: [30/196] Time 0.044 (0.212) Loss 2.4293 (2.5761) Prec@1 44.531 (43.170) Prec@5 70.703 (69.002)
Test: [40/196] Time 0.044 (0.205) Loss 2.3722 (2.5737) Prec@1 49.219 (43.540) Prec@5 73.047 (69.017)
Test: [50/196] Time 0.080 (0.198) Loss 2.7017 (2.5765) Prec@1 44.531 (43.666) Prec@5 68.359 (69.010)
Test: [60/196] Time 0.318 (0.196) Loss 2.5141 (2.5625) Prec@1 45.312 (43.795) Prec@5 69.922 (69.237)
Test: [70/196] Time 0.044 (0.191) Loss 2.5272 (2.5589) Prec@1 44.922 (43.849) Prec@5 67.578 (69.119)
Test: [80/196] Time 0.044 (0.184) Loss 2.4061 (2.5642) Prec@1 51.953 (43.832) Prec@5 74.609 (69.092)
Test: [90/196] Time 0.581 (0.187) Loss 2.7101 (2.5674) Prec@1 46.484 (43.857) Prec@5 65.625 (69.128)
Test: [100/196] Time 0.457 (0.188) Loss 2.5992 (2.5640) Prec@1 45.312 (44.114) Prec@5 67.578 (69.172)
Test: [110/196] Time 0.043 (0.183) Loss 2.7467 (2.5651) Prec@1 40.234 (44.130) Prec@5 66.797 (69.176)
Test: [120/196] Time 0.049 (0.181) Loss 2.4053 (2.5613) Prec@1 46.484 (44.267) Prec@5 73.047 (69.292)
Test: [130/196] Time 0.281 (0.181) Loss 2.2593 (2.5583) Prec@1 48.047 (44.314) Prec@5 75.781 (69.334)
Test: [140/196] Time 0.096 (0.182) Loss 2.3749 (2.5614) Prec@1 50.781 (44.282) Prec@5 69.531 (69.260)
Test: [150/196] Time 0.536 (0.182) Loss 2.2284 (2.5600) Prec@1 49.609 (44.265) Prec@5 78.516 (69.350)
Test: [160/196] Time 0.509 (0.182) Loss 2.5562 (2.5589) Prec@1 46.875 (44.230) Prec@5 69.531 (69.349)
Test: [170/196] Time 0.453 (0.182) Loss 2.4727 (2.5608) Prec@1 45.312 (44.202) Prec@5 73.438 (69.323)
Test: [180/196] Time 0.042 (0.181) Loss 2.7307 (2.5654) Prec@1 40.234 (44.095) Prec@5 66.797 (69.220)
Test: [190/196] Time 0.044 (0.179) Loss 2.7582 (2.5686) Prec@1 42.578 (44.047) Prec@5 63.281 (69.108)
* Prec@1 44.038 Prec@5 69.128
Learning rate: 1e-05
Epoch: [52][0/5005] Time 1.147 (1.147) Data 1.053 (1.053) Loss 2.1691 (2.1691) Prec@1 50.391 (50.391) Prec@5 75.000 (75.000)
Epoch: [52][10/5005] Time 0.199 (0.289) Data 0.041 (0.139) Loss 2.1801 (2.3081) Prec@1 51.562 (46.804) Prec@5 73.438 (73.828)
Epoch: [52][20/5005] Time 0.207 (0.248) Data 0.043 (0.093) Loss 2.5527 (2.3357) Prec@1 43.750 (46.243) Prec@5 69.531 (72.619)
Epoch: [52][30/5005] Time 0.206 (0.234) Data 0.039 (0.077) Loss 2.2295 (2.2930) Prec@1 50.781 (47.089) Prec@5 71.875 (73.072)
Epoch: [52][40/5005] Time 0.207 (0.227) Data 0.041 (0.069) Loss 2.2054 (2.3040) Prec@1 50.781 (47.094) Prec@5 74.219 (72.675)
Epoch: [52][50/5005] Time 0.209 (0.222) Data 0.046 (0.065) Loss 2.0988 (2.3040) Prec@1 49.219 (47.174) Prec@5 76.172 (72.687)
Epoch: [52][60/5005] Time 0.204 (0.220) Data 0.045 (0.061) Loss 2.4130 (2.3081) Prec@1 44.922 (47.195) Prec@5 74.219 (72.631)
Epoch: [52][70/5005] Time 0.206 (0.217) Data 0.043 (0.059) Loss 2.1805 (2.3157) Prec@1 49.609 (47.068) Prec@5 75.000 (72.464)
Epoch: [52][80/5005] Time 0.204 (0.215) Data 0.041 (0.057) Loss 2.1648 (2.3099) Prec@1 49.219 (47.097) Prec@5 77.734 (72.676)
Epoch: [52][90/5005] Time 0.211 (0.214) Data 0.044 (0.057) Loss 2.3282 (2.3090) Prec@1 48.438 (47.163) Prec@5 74.219 (72.673)
Epoch: [52][100/5005] Time 0.193 (0.212) Data 0.053 (0.056) Loss 2.0913 (2.3100) Prec@1 50.781 (47.099) Prec@5 76.953 (72.587)
Epoch: [52][110/5005] Time 0.198 (0.212) Data 0.045 (0.055) Loss 2.4150 (2.3096) Prec@1 44.531 (47.121) Prec@5 71.484 (72.607)
Epoch: [52][120/5005] Time 0.199 (0.210) Data 0.042 (0.055) Loss 2.4597 (2.3142) Prec@1 40.234 (47.059) Prec@5 71.484 (72.488)
Epoch: [52][130/5005] Time 0.209 (0.210) Data 0.045 (0.054) Loss 2.5967 (2.3163) Prec@1 41.797 (47.036) Prec@5 69.141 (72.468)
Epoch: [52][140/5005] Time 0.201 (0.209) Data 0.040 (0.054) Loss 2.4705 (2.3151) Prec@1 46.094 (46.991) Prec@5 67.578 (72.501)
Epoch: [52][150/5005] Time 0.206 (0.209) Data 0.043 (0.053) Loss 2.5260 (2.3172) Prec@1 44.922 (46.973) Prec@5 69.531 (72.548)
Epoch: [52][160/5005] Time 0.196 (0.208) Data 0.068 (0.053) Loss 2.2519 (2.3189) Prec@1 46.875 (46.926) Prec@5 70.312 (72.462)
Epoch: [52][170/5005] Time 0.220 (0.209) Data 0.044 (0.053) Loss 2.4249 (2.3210) Prec@1 44.922 (46.907) Prec@5 71.875 (72.446)
Epoch: [52][180/5005] Time 0.220 (0.209) Data 0.064 (0.053) Loss 2.4537 (2.3199) Prec@1 46.484 (46.972) Prec@5 69.531 (72.468)
Epoch: [52][190/5005] Time 0.226 (0.210) Data 0.048 (0.053) Loss 2.3151 (2.3218) Prec@1 48.047 (46.930) Prec@5 73.047 (72.429)
Epoch: [52][200/5005] Time 0.219 (0.210) Data 0.042 (0.052) Loss 2.5898 (2.3249) Prec@1 38.281 (46.836) Prec@5 70.312 (72.409)
Epoch: [52][210/5005] Time 0.221 (0.211) Data 0.048 (0.052) Loss 2.1677 (2.3238) Prec@1 48.438 (46.864) Prec@5 75.391 (72.445)
Epoch: [52][220/5005] Time 0.224 (0.212) Data 0.046 (0.052) Loss 2.3419 (2.3251) Prec@1 44.922 (46.790) Prec@5 75.391 (72.449)
Epoch: [52][230/5005] Time 0.223 (0.212) Data 0.047 (0.052) Loss 2.3042 (2.3244) Prec@1 48.828 (46.843) Prec@5 73.828 (72.470)
Epoch: [52][240/5005] Time 0.204 (0.212) Data 0.047 (0.052) Loss 2.3500 (2.3252) Prec@1 45.703 (46.826) Prec@5 71.094 (72.434)
Epoch: [52][250/5005] Time 0.215 (0.212) Data 0.051 (0.052) Loss 2.3794 (2.3255) Prec@1 48.047 (46.810) Prec@5 72.656 (72.437)
Epoch: [52][260/5005] Time 0.218 (0.212) Data 0.045 (0.051) Loss 2.0819 (2.3239) Prec@1 50.000 (46.860) Prec@5 75.781 (72.477)
Epoch: [52][270/5005] Time 0.215 (0.212) Data 0.048 (0.051) Loss 2.3656 (2.3250) Prec@1 48.047 (46.850) Prec@5 72.266 (72.449)
Epoch: [52][280/5005] Time 0.203 (0.212) Data 0.052 (0.051) Loss 2.6781 (2.3269) Prec@1 44.141 (46.851) Prec@5 65.625 (72.424)
Epoch: [52][290/5005] Time 0.228 (0.213) Data 0.046 (0.051) Loss 2.0763 (2.3278) Prec@1 54.688 (46.832) Prec@5 75.000 (72.377)
Epoch: [52][300/5005] Time 0.214 (0.213) Data 0.052 (0.051) Loss 2.0618 (2.3261) Prec@1 53.906 (46.840) Prec@5 76.562 (72.420)
Epoch: [52][310/5005] Time 0.211 (0.213) Data 0.048 (0.051) Loss 2.1555 (2.3241) Prec@1 51.562 (46.889) Prec@5 77.734 (72.464)
Epoch: [52][320/5005] Time 0.212 (0.213) Data 0.060 (0.051) Loss 2.4198 (2.3244) Prec@1 47.656 (46.908) Prec@5 71.094 (72.472)
Epoch: [52][330/5005] Time 0.213 (0.213) Data 0.054 (0.051) Loss 2.1651 (2.3228) Prec@1 45.312 (46.914) Prec@5 74.609 (72.499)
Epoch: [52][340/5005] Time 0.220 (0.213) Data 0.041 (0.051) Loss 2.4907 (2.3260) Prec@1 46.875 (46.900) Prec@5 68.750 (72.434)
Epoch: [52][350/5005] Time 0.217 (0.213) Data 0.047 (0.051) Loss 2.6152 (2.3253) Prec@1 42.969 (46.923) Prec@5 69.141 (72.443)
Epoch: [52][360/5005] Time 0.214 (0.213) Data 0.059 (0.051) Loss 2.4295 (2.3257) Prec@1 45.703 (46.936) Prec@5 68.359 (72.402)
Epoch: [52][370/5005] Time 0.208 (0.213) Data 0.058 (0.051) Loss 2.3047 (2.3238) Prec@1 49.609 (46.960) Prec@5 70.312 (72.439)
Epoch: [52][380/5005] Time 0.212 (0.213) Data 0.041 (0.051) Loss 2.3564 (2.3246) Prec@1 46.875 (46.925) Prec@5 71.484 (72.403)
Epoch: [52][390/5005] Time 0.217 (0.213) Data 0.043 (0.051) Loss 2.2894 (2.3244) Prec@1 48.828 (46.925) Prec@5 72.266 (72.404)
Epoch: [52][400/5005] Time 0.225 (0.213) Data 0.046 (0.051) Loss 2.2744 (2.3233) Prec@1 47.266 (46.955) Prec@5 75.391 (72.432)
Epoch: [52][410/5005] Time 0.208 (0.213) Data 0.047 (0.051) Loss 2.1316 (2.3227) Prec@1 50.391 (46.978) Prec@5 76.562 (72.441)
Epoch: [52][420/5005] Time 0.219 (0.213) Data 0.055 (0.051) Loss 2.2070 (2.3217) Prec@1 50.000 (47.034) Prec@5 74.609 (72.463)
Epoch: [52][430/5005] Time 0.216 (0.213) Data 0.059 (0.051) Loss 2.2239 (2.3207) Prec@1 48.047 (47.035) Prec@5 73.047 (72.470)
Epoch: [52][440/5005] Time 0.214 (0.213) Data 0.060 (0.051) Loss 2.2759 (2.3205) Prec@1 50.000 (47.028) Prec@5 75.000 (72.465)
Epoch: [52][450/5005] Time 0.214 (0.213) Data 0.042 (0.051) Loss 2.2419 (2.3208) Prec@1 48.047 (47.010) Prec@5 70.703 (72.463)
Epoch: [52][460/5005] Time 0.204 (0.213) Data 0.048 (0.051) Loss 2.4670 (2.3213) Prec@1 42.969 (46.992) Prec@5 70.312 (72.461)
Epoch: [52][470/5005] Time 0.224 (0.213) Data 0.047 (0.051) Loss 2.2165 (2.3217) Prec@1 46.875 (46.972) Prec@5 72.266 (72.427)
Epoch: [52][480/5005] Time 0.209 (0.213) Data 0.048 (0.051) Loss 2.3818 (2.3213) Prec@1 47.656 (47.008) Prec@5 70.312 (72.430)
Epoch: [52][490/5005] Time 0.210 (0.213) Data 0.041 (0.051) Loss 2.2356 (2.3218) Prec@1 51.562 (46.992) Prec@5 74.219 (72.419)
Epoch: [52][500/5005] Time 0.216 (0.213) Data 0.050 (0.051) Loss 2.4417 (2.3238) Prec@1 46.875 (46.982) Prec@5 70.703 (72.393)
Epoch: [52][510/5005] Time 0.218 (0.213) Data 0.044 (0.050) Loss 2.7201 (2.3249) Prec@1 38.281 (46.974) Prec@5 64.453 (72.359)
Epoch: [52][520/5005] Time 0.216 (0.213) Data 0.045 (0.050) Loss 2.4795 (2.3245) Prec@1 43.359 (46.949) Prec@5 68.750 (72.376)
Epoch: [52][530/5005] Time 0.215 (0.213) Data 0.048 (0.050) Loss 2.2367 (2.3247) Prec@1 48.828 (46.943) Prec@5 73.438 (72.365)
Epoch: [52][540/5005] Time 0.215 (0.213) Data 0.042 (0.050) Loss 2.5010 (2.3259) Prec@1 42.969 (46.918) Prec@5 67.188 (72.328)
Epoch: [52][550/5005] Time 0.216 (0.213) Data 0.043 (0.050) Loss 2.2445 (2.3255) Prec@1 47.656 (46.941) Prec@5 71.875 (72.321)
Epoch: [52][560/5005] Time 0.214 (0.213) Data 0.041 (0.050) Loss 2.4298 (2.3255) Prec@1 47.266 (46.938) Prec@5 70.312 (72.329)
Epoch: [52][570/5005] Time 0.209 (0.213) Data 0.049 (0.050) Loss 2.4126 (2.3261) Prec@1 45.703 (46.936) Prec@5 70.312 (72.314)
Epoch: [52][580/5005] Time 0.205 (0.213) Data 0.051 (0.050) Loss 2.3110 (2.3247) Prec@1 48.047 (46.957) Prec@5 74.609 (72.334)
Epoch: [52][590/5005] Time 0.216 (0.213) Data 0.043 (0.050) Loss 2.4165 (2.3242) Prec@1 43.750 (46.962) Prec@5 72.266 (72.330)
Epoch: [52][600/5005] Time 0.213 (0.213) Data 0.052 (0.050) Loss 2.3835 (2.3253) Prec@1 46.484 (46.963) Prec@5 72.266 (72.318)
Epoch: [52][610/5005] Time 0.209 (0.213) Data 0.048 (0.050) Loss 2.2221 (2.3244) Prec@1 50.391 (46.975) Prec@5 74.219 (72.333)
Epoch: [52][620/5005] Time 0.209 (0.213) Data 0.047 (0.050) Loss 2.2912 (2.3241) Prec@1 50.000 (46.993) Prec@5 72.656 (72.332)
Epoch: [52][630/5005] Time 0.209 (0.213) Data 0.049 (0.050) Loss 2.5257 (2.3237) Prec@1 43.359 (47.009) Prec@5 66.406 (72.344)
Epoch: [52][640/5005] Time 0.212 (0.213) Data 0.048 (0.050) Loss 2.1934 (2.3235) Prec@1 47.266 (46.998) Prec@5 75.391 (72.356)
Epoch: [52][650/5005] Time 0.205 (0.213) Data 0.061 (0.050) Loss 2.3352 (2.3242) Prec@1 46.484 (46.979) Prec@5 70.312 (72.335)
Epoch: [52][660/5005] Time 0.212 (0.213) Data 0.045 (0.050) Loss 2.4154 (2.3233) Prec@1 43.750 (47.000) Prec@5 72.266 (72.364)
Epoch: [52][670/5005] Time 0.214 (0.213) Data 0.042 (0.050) Loss 2.5701 (2.3237) Prec@1 43.359 (47.002) Prec@5 69.922 (72.355)
Epoch: [52][680/5005] Time 0.221 (0.213) Data 0.045 (0.049) Loss 2.3138 (2.3238) Prec@1 45.703 (46.995) Prec@5 75.391 (72.348)
Epoch: [52][690/5005] Time 0.203 (0.213) Data 0.046 (0.049) Loss 2.1485 (2.3234) Prec@1 51.172 (46.995) Prec@5 76.172 (72.360)
Epoch: [52][700/5005] Time 0.222 (0.213) Data 0.044 (0.049) Loss 2.4356 (2.3235) Prec@1 44.141 (46.989) Prec@5 69.922 (72.356)
Epoch: [52][710/5005] Time 0.221 (0.213) Data 0.048 (0.049) Loss 2.0632 (2.3230) Prec@1 50.781 (47.013) Prec@5 78.516 (72.360)
Epoch: [52][720/5005] Time 0.217 (0.213) Data 0.044 (0.049) Loss 2.2327 (2.3227) Prec@1 44.922 (47.019) Prec@5 76.562 (72.364)
Epoch: [52][730/5005] Time 0.213 (0.213) Data 0.042 (0.049) Loss 2.4888 (2.3232) Prec@1 45.703 (47.021) Prec@5 70.703 (72.358)
Epoch: [52][740/5005] Time 0.222 (0.213) Data 0.048 (0.049) Loss 2.3208 (2.3233) Prec@1 49.609 (47.025) Prec@5 69.531 (72.346)
Epoch: [52][750/5005] Time 0.217 (0.213) Data 0.048 (0.049) Loss 2.1705 (2.3229) Prec@1 47.656 (47.036) Prec@5 75.000 (72.359)
Epoch: [52][760/5005] Time 0.220 (0.213) Data 0.043 (0.049) Loss 2.3295 (2.3228) Prec@1 44.141 (47.045) Prec@5 73.438 (72.360)
Epoch: [52][770/5005] Time 0.215 (0.213) Data 0.044 (0.049) Loss 2.3058 (2.3218) Prec@1 45.703 (47.071) Prec@5 72.266 (72.373)
Epoch: [52][780/5005] Time 0.214 (0.213) Data 0.042 (0.049) Loss 2.3420 (2.3218) Prec@1 42.969 (47.049) Prec@5 70.312 (72.362)
Epoch: [52][790/5005] Time 0.216 (0.213) Data 0.043 (0.049) Loss 2.3606 (2.3217) Prec@1 46.875 (47.055) Prec@5 72.656 (72.374)
Epoch: [52][800/5005] Time 0.205 (0.213) Data 0.044 (0.049) Loss 2.1697 (2.3210) Prec@1 50.000 (47.083) Prec@5 74.609 (72.377)
Epoch: [52][810/5005] Time 0.217 (0.213) Data 0.047 (0.049) Loss 2.3548 (2.3214) Prec@1 45.312 (47.064) Prec@5 68.750 (72.368)
Epoch: [52][820/5005] Time 0.217 (0.213) Data 0.046 (0.049) Loss 2.4339 (2.3218) Prec@1 44.922 (47.061) Prec@5 68.750 (72.361)
Epoch: [52][830/5005] Time 0.214 (0.213) Data 0.046 (0.049) Loss 2.3674 (2.3219) Prec@1 44.922 (47.055) Prec@5 71.875 (72.353)
Epoch: [52][840/5005] Time 0.218 (0.213) Data 0.042 (0.049) Loss 2.2523 (2.3217) Prec@1 46.484 (47.060) Prec@5 74.609 (72.365)
Epoch: [52][850/5005] Time 0.215 (0.213) Data 0.043 (0.049) Loss 2.5529 (2.3214) Prec@1 43.750 (47.053) Prec@5 73.047 (72.383)
Epoch: [52][860/5005] Time 0.211 (0.213) Data 0.043 (0.049) Loss 2.4467 (2.3216) Prec@1 44.531 (47.051) Prec@5 69.531 (72.378)
Epoch: [52][870/5005] Time 0.212 (0.213) Data 0.043 (0.049) Loss 2.3455 (2.3204) Prec@1 42.188 (47.083) Prec@5 70.703 (72.399)
Epoch: [52][880/5005] Time 0.204 (0.213) Data 0.043 (0.049) Loss 2.1896 (2.3206) Prec@1 48.828 (47.093) Prec@5 75.000 (72.393)
Epoch: [52][890/5005] Time 0.207 (0.213) Data 0.044 (0.049) Loss 2.5409 (2.3200) Prec@1 42.188 (47.091) Prec@5 69.922 (72.402)
Epoch: [52][900/5005] Time 0.214 (0.213) Data 0.041 (0.049) Loss 2.3406 (2.3198) Prec@1 48.438 (47.086) Prec@5 72.266 (72.403)
Epoch: [52][910/5005] Time 0.213 (0.213) Data 0.044 (0.048) Loss 2.2565 (2.3201) Prec@1 47.266 (47.071) Prec@5 74.219 (72.397)
Epoch: [52][920/5005] Time 0.206 (0.213) Data 0.045 (0.048) Loss 2.2603 (2.3194) Prec@1 46.094 (47.079) Prec@5 75.391 (72.412)
Epoch: [52][930/5005] Time 0.220 (0.213) Data 0.042 (0.048) Loss 2.2477 (2.3188) Prec@1 48.828 (47.091) Prec@5 72.266 (72.411)
Epoch: [52][940/5005] Time 0.211 (0.213) Data 0.043 (0.049) Loss 2.1059 (2.3188) Prec@1 50.391 (47.089) Prec@5 74.219 (72.408)
Epoch: [52][950/5005] Time 0.205 (0.213) Data 0.061 (0.049) Loss 2.3721 (2.3193) Prec@1 44.141 (47.081) Prec@5 75.391 (72.410)
Epoch: [52][960/5005] Time 0.212 (0.213) Data 0.050 (0.049) Loss 2.4553 (2.3195) Prec@1 47.266 (47.082) Prec@5 72.266 (72.403)
Epoch: [52][970/5005] Time 0.209 (0.213) Data 0.048 (0.049) Loss 2.1663 (2.3194) Prec@1 49.219 (47.089) Prec@5 73.828 (72.405)
Epoch: [52][980/5005] Time 0.205 (0.213) Data 0.040 (0.049) Loss 2.0810 (2.3187) Prec@1 53.125 (47.089) Prec@5 74.219 (72.423)
Epoch: [52][990/5005] Time 0.220 (0.213) Data 0.052 (0.049) Loss 2.3801 (2.3191) Prec@1 45.312 (47.074) Prec@5 68.750 (72.406)
Epoch: [52][1000/5005] Time 0.209 (0.213) Data 0.048 (0.049) Loss 2.4229 (2.3190) Prec@1 43.750 (47.068) Prec@5 76.562 (72.409)
Epoch: [52][1010/5005] Time 0.215 (0.213) Data 0.046 (0.049) Loss 2.2675 (2.3183) Prec@1 48.828 (47.086) Prec@5 70.312 (72.420)
Epoch: [52][1020/5005] Time 1.677 (0.214) Data 0.043 (0.049) Loss 2.2041 (2.3187) Prec@1 51.172 (47.086) Prec@5 72.656 (72.408)
Epoch: [52][1030/5005] Time 0.198 (0.214) Data 0.045 (0.049) Loss 2.1728 (2.3182) Prec@1 48.047 (47.088) Prec@5 75.000 (72.418)
Epoch: [52][1040/5005] Time 0.206 (0.214) Data 0.047 (0.049) Loss 2.4152 (2.3182) Prec@1 43.359 (47.090) Prec@5 71.875 (72.418)
Epoch: [52][1050/5005] Time 0.212 (0.214) Data 0.043 (0.049) Loss 2.5137 (2.3184) Prec@1 44.922 (47.072) Prec@5 68.359 (72.411)
Epoch: [52][1060/5005] Time 0.215 (0.214) Data 0.040 (0.049) Loss 2.4991 (2.3189) Prec@1 44.141 (47.067) Prec@5 69.922 (72.407)
Epoch: [52][1070/5005] Time 0.207 (0.214) Data 0.047 (0.049) Loss 2.3303 (2.3192) Prec@1 44.141 (47.065) Prec@5 77.344 (72.399)
Epoch: [52][1080/5005] Time 0.208 (0.214) Data 0.043 (0.049) Loss 2.4407 (2.3192) Prec@1 45.703 (47.066) Prec@5 71.875 (72.396)
Epoch: [52][1090/5005] Time 0.213 (0.214) Data 0.044 (0.049) Loss 2.2604 (2.3188) Prec@1 50.000 (47.070) Prec@5 71.875 (72.398)
Epoch: [52][1100/5005] Time 0.209 (0.214) Data 0.052 (0.049) Loss 2.0869 (2.3182) Prec@1 53.516 (47.073) Prec@5 75.391 (72.406)
Epoch: [52][1110/5005] Time 0.209 (0.214) Data 0.045 (0.049) Loss 2.3378 (2.3184) Prec@1 46.484 (47.079) Prec@5 72.266 (72.402)
Epoch: [52][1120/5005] Time 0.212 (0.213) Data 0.048 (0.049) Loss 2.2165 (2.3174) Prec@1 46.484 (47.098) Prec@5 73.438 (72.419)
Epoch: [52][1130/5005] Time 0.215 (0.213) Data 0.043 (0.049) Loss 2.4028 (2.3174) Prec@1 45.312 (47.100) Prec@5 75.391 (72.424)
Epoch: [52][1140/5005] Time 0.213 (0.213) Data 0.045 (0.048) Loss 2.2947 (2.3171) Prec@1 46.094 (47.106) Prec@5 75.000 (72.434)
Epoch: [52][1150/5005] Time 0.202 (0.213) Data 0.048 (0.048) Loss 2.3049 (2.3168) Prec@1 45.703 (47.117) Prec@5 69.531 (72.435)
Epoch: [52][1160/5005] Time 0.206 (0.213) Data 0.063 (0.049) Loss 2.2985 (2.3167) Prec@1 48.438 (47.117) Prec@5 71.484 (72.435)
Epoch: [52][1170/5005] Time 0.203 (0.213) Data 0.057 (0.049) Loss 2.2704 (2.3163) Prec@1 50.000 (47.124) Prec@5 72.656 (72.437)
Epoch: [52][1180/5005] Time 0.206 (0.213) Data 0.048 (0.049) Loss 2.4923 (2.3163) Prec@1 44.531 (47.123) Prec@5 67.188 (72.434)
Epoch: [52][1190/5005] Time 0.222 (0.213) Data 0.046 (0.049) Loss 2.1166 (2.3157) Prec@1 48.438 (47.135) Prec@5 76.562 (72.444)
Epoch: [52][1200/5005] Time 0.207 (0.213) Data 0.067 (0.049) Loss 2.4568 (2.3162) Prec@1 46.484 (47.126) Prec@5 71.094 (72.431)
Epoch: [52][1210/5005] Time 0.217 (0.213) Data 0.052 (0.049) Loss 2.1454 (2.3166) Prec@1 46.094 (47.127) Prec@5 74.219 (72.424)
Epoch: [52][1220/5005] Time 0.210 (0.213) Data 0.049 (0.049) Loss 2.1173 (2.3165) Prec@1 51.172 (47.126) Prec@5 75.000 (72.429)
Epoch: [52][1230/5005] Time 0.214 (0.213) Data 0.043 (0.049) Loss 2.3814 (2.3165) Prec@1 44.922 (47.124) Prec@5 72.266 (72.427)
Epoch: [52][1240/5005] Time 0.212 (0.213) Data 0.040 (0.049) Loss 2.3075 (2.3163) Prec@1 45.703 (47.110) Prec@5 71.875 (72.433)
Epoch: [52][1250/5005] Time 0.215 (0.213) Data 0.044 (0.049) Loss 2.4263 (2.3166) Prec@1 46.484 (47.101) Prec@5 68.750 (72.425)
Epoch: [52][1260/5005] Time 0.211 (0.213) Data 0.045 (0.049) Loss 2.0671 (2.3161) Prec@1 52.734 (47.106) Prec@5 76.172 (72.434)
Epoch: [52][1270/5005] Time 0.216 (0.213) Data 0.042 (0.048) Loss 2.4298 (2.3168) Prec@1 44.922 (47.099) Prec@5 69.531 (72.421)
Epoch: [52][1280/5005] Time 0.214 (0.213) Data 0.042 (0.048) Loss 2.3157 (2.3170) Prec@1 47.266 (47.104) Prec@5 72.656 (72.424)
Epoch: [52][1290/5005] Time 0.214 (0.213) Data 0.041 (0.048) Loss 2.0845 (2.3166) Prec@1 52.734 (47.121) Prec@5 76.562 (72.432)
Epoch: [52][1300/5005] Time 0.210 (0.213) Data 0.044 (0.048) Loss 2.2016 (2.3163) Prec@1 50.391 (47.117) Prec@5 71.484 (72.438)
Epoch: [52][1310/5005] Time 0.205 (0.213) Data 0.043 (0.048) Loss 2.3360 (2.3162) Prec@1 46.094 (47.112) Prec@5 71.875 (72.449)
Epoch: [52][1320/5005] Time 0.211 (0.213) Data 0.044 (0.048) Loss 2.3033 (2.3159) Prec@1 47.656 (47.113) Prec@5 74.219 (72.460)
Epoch: [52][1330/5005] Time 0.213 (0.213) Data 0.041 (0.048) Loss 2.3987 (2.3163) Prec@1 47.656 (47.113) Prec@5 71.875 (72.455)
Epoch: [52][1340/5005] Time 0.207 (0.213) Data 0.050 (0.048) Loss 2.2443 (2.3163) Prec@1 48.047 (47.119) Prec@5 72.266 (72.452)
Epoch: [52][1350/5005] Time 0.215 (0.213) Data 0.044 (0.048) Loss 2.7188 (2.3167) Prec@1 44.141 (47.112) Prec@5 70.703 (72.446)
Epoch: [52][1360/5005] Time 0.214 (0.213) Data 0.045 (0.048) Loss 2.1638 (2.3168) Prec@1 48.828 (47.113) Prec@5 75.781 (72.435)
Epoch: [52][1370/5005] Time 0.207 (0.213) Data 0.051 (0.048) Loss 2.3025 (2.3163) Prec@1 48.438 (47.120) Prec@5 75.000 (72.442)
Epoch: [52][1380/5005] Time 0.210 (0.213) Data 0.052 (0.048) Loss 2.3957 (2.3163) Prec@1 44.141 (47.118) Prec@5 73.828 (72.443)
Epoch: [52][1390/5005] Time 0.208 (0.213) Data 0.045 (0.048) Loss 2.2579 (2.3161) Prec@1 50.781 (47.129) Prec@5 73.438 (72.441)
Epoch: [52][1400/5005] Time 0.212 (0.213) Data 0.042 (0.048) Loss 2.2627 (2.3153) Prec@1 46.875 (47.138) Prec@5 71.484 (72.455)
Epoch: [52][1410/5005] Time 0.213 (0.213) Data 0.043 (0.048) Loss 2.1796 (2.3150) Prec@1 50.391 (47.145) Prec@5 76.562 (72.463)
Epoch: [52][1420/5005] Time 0.219 (0.213) Data 0.047 (0.048) Loss 2.5662 (2.3151) Prec@1 46.484 (47.149) Prec@5 67.969 (72.462)
Epoch: [52][1430/5005] Time 0.210 (0.213) Data 0.042 (0.048) Loss 2.0672 (2.3148) Prec@1 53.906 (47.161) Prec@5 76.562 (72.465)
Epoch: [52][1440/5005] Time 0.213 (0.213) Data 0.040 (0.048) Loss 2.0408 (2.3144) Prec@1 51.562 (47.167) Prec@5 78.516 (72.470)
Epoch: [52][1450/5005] Time 0.209 (0.213) Data 0.042 (0.048) Loss 2.2798 (2.3144) Prec@1 52.344 (47.169) Prec@5 72.266 (72.469)
Epoch: [52][1460/5005] Time 0.211 (0.213) Data 0.041 (0.048) Loss 2.3910 (2.3144) Prec@1 41.406 (47.166) Prec@5 68.359 (72.464)
Epoch: [52][1470/5005] Time 0.213 (0.213) Data 0.044 (0.048) Loss 2.3125 (2.3145) Prec@1 46.875 (47.159) Prec@5 70.703 (72.464)
Epoch: [52][1480/5005] Time 0.213 (0.213) Data 0.043 (0.048) Loss 2.2736 (2.3146) Prec@1 50.391 (47.151) Prec@5 74.609 (72.467)
Epoch: [52][1490/5005] Time 0.207 (0.213) Data 0.046 (0.048) Loss 2.4225 (2.3143) Prec@1 45.703 (47.152) Prec@5 71.484 (72.475)
Epoch: [52][1500/5005] Time 0.207 (0.213) Data 0.045 (0.048) Loss 2.2796 (2.3140) Prec@1 49.219 (47.162) Prec@5 73.438 (72.478)
Epoch: [52][1510/5005] Time 0.202 (0.213) Data 0.045 (0.048) Loss 2.1737 (2.3138) Prec@1 45.703 (47.159) Prec@5 74.609 (72.490)
Epoch: [52][1520/5005] Time 0.206 (0.213) Data 0.046 (0.048) Loss 2.3785 (2.3134) Prec@1 44.531 (47.168) Prec@5 73.047 (72.495)
Epoch: [52][1530/5005] Time 0.222 (0.213) Data 0.043 (0.048) Loss 2.4643 (2.3133) Prec@1 44.531 (47.166) Prec@5 70.312 (72.496)
Epoch: [52][1540/5005] Time 0.206 (0.213) Data 0.061 (0.048) Loss 2.3879 (2.3136) Prec@1 50.000 (47.160) Prec@5 67.188 (72.488)
Epoch: [52][1550/5005] Time 0.207 (0.213) Data 0.043 (0.048) Loss 2.3128 (2.3133) Prec@1 46.094 (47.159) Prec@5 72.266 (72.492)
Epoch: [52][1560/5005] Time 0.216 (0.213) Data 0.048 (0.048) Loss 2.2306 (2.3133) Prec@1 49.609 (47.163) Prec@5 73.047 (72.493)
Epoch: [52][1570/5005] Time 0.205 (0.213) Data 0.048 (0.048) Loss 2.1684 (2.3130) Prec@1 48.438 (47.171) Prec@5 73.828 (72.496)
Epoch: [52][1580/5005] Time 0.213 (0.213) Data 0.046 (0.048) Loss 2.1728 (2.3130) Prec@1 48.047 (47.163) Prec@5 78.125 (72.498)
Epoch: [52][1590/5005] Time 0.210 (0.213) Data 0.048 (0.048) Loss 2.2492 (2.3128) Prec@1 50.000 (47.159) Prec@5 72.266 (72.499)
Epoch: [52][1600/5005] Time 0.204 (0.212) Data 0.062 (0.048) Loss 2.2777 (2.3129) Prec@1 49.219 (47.156) Prec@5 71.484 (72.499)
Epoch: [52][1610/5005] Time 0.217 (0.212) Data 0.044 (0.048) Loss 2.4694 (2.3129) Prec@1 45.703 (47.161) Prec@5 70.312 (72.503)
Epoch: [52][1620/5005] Time 0.210 (0.212) Data 0.048 (0.048) Loss 2.3713 (2.3125) Prec@1 43.750 (47.158) Prec@5 72.266 (72.509)
Epoch: [52][1630/5005] Time 0.205 (0.212) Data 0.041 (0.048) Loss 2.2886 (2.3125) Prec@1 47.656 (47.162) Prec@5 74.609 (72.509)
Epoch: [52][1640/5005] Time 0.215 (0.212) Data 0.057 (0.048) Loss 2.4470 (2.3128) Prec@1 47.266 (47.158) Prec@5 71.875 (72.508)
Epoch: [52][1650/5005] Time 0.208 (0.212) Data 0.060 (0.048) Loss 2.3704 (2.3127) Prec@1 44.922 (47.162) Prec@5 69.531 (72.510)
Epoch: [52][1660/5005] Time 0.210 (0.212) Data 0.052 (0.048) Loss 2.2507 (2.3122) Prec@1 49.609 (47.175) Prec@5 72.656 (72.521)
Epoch: [52][1670/5005] Time 0.205 (0.212) Data 0.059 (0.048) Loss 2.1477 (2.3123) Prec@1 51.562 (47.180) Prec@5 76.172 (72.520)
Epoch: [52][1680/5005] Time 0.205 (0.212) Data 0.049 (0.048) Loss 2.3799 (2.3124) Prec@1 47.656 (47.180) Prec@5 71.484 (72.517)
Epoch: [52][1690/5005] Time 0.216 (0.212) Data 0.045 (0.048) Loss 2.1646 (2.3122) Prec@1 48.828 (47.183) Prec@5 76.562 (72.525)
Epoch: [52][1700/5005] Time 0.212 (0.212) Data 0.054 (0.048) Loss 2.1081 (2.3117) Prec@1 52.734 (47.192) Prec@5 77.344 (72.534)
Epoch: [52][1710/5005] Time 0.205 (0.212) Data 0.057 (0.048) Loss 2.2334 (2.3112) Prec@1 48.047 (47.203) Prec@5 73.438 (72.546)
Epoch: [52][1720/5005] Time 0.213 (0.212) Data 0.045 (0.048) Loss 2.3461 (2.3112) Prec@1 45.312 (47.198) Prec@5 72.266 (72.547)
Epoch: [52][1730/5005] Time 0.200 (0.212) Data 0.044 (0.048) Loss 2.3610 (2.3111) Prec@1 42.578 (47.200) Prec@5 70.312 (72.549)
Epoch: [52][1740/5005] Time 0.211 (0.212) Data 0.048 (0.048) Loss 2.4627 (2.3108) Prec@1 41.016 (47.200) Prec@5 70.703 (72.556)
Epoch: [52][1750/5005] Time 0.214 (0.212) Data 0.046 (0.048) Loss 2.3216 (2.3107) Prec@1 47.266 (47.202) Prec@5 73.828 (72.557)
Epoch: [52][1760/5005] Time 0.203 (0.212) Data 0.052 (0.048) Loss 2.1486 (2.3105) Prec@1 51.172 (47.205) Prec@5 73.047 (72.557)
Epoch: [52][1770/5005] Time 0.213 (0.212) Data 0.044 (0.048) Loss 2.3880 (2.3103) Prec@1 48.828 (47.208) Prec@5 74.219 (72.563)
Epoch: [52][1780/5005] Time 0.208 (0.212) Data 0.043 (0.048) Loss 2.2036 (2.3101) Prec@1 49.219 (47.208) Prec@5 73.438 (72.569)
Epoch: [52][1790/5005] Time 0.212 (0.212) Data 0.043 (0.048) Loss 2.0893 (2.3098) Prec@1 50.000 (47.209) Prec@5 75.781 (72.571)
Epoch: [52][1800/5005] Time 0.211 (0.212) Data 0.046 (0.048) Loss 2.3541 (2.3096) Prec@1 48.438 (47.211) Prec@5 72.266 (72.575)
Epoch: [52][1810/5005] Time 0.213 (0.212) Data 0.055 (0.048) Loss 2.2071 (2.3092) Prec@1 48.828 (47.215) Prec@5 75.000 (72.584)
Epoch: [52][1820/5005] Time 0.203 (0.212) Data 0.059 (0.048) Loss 2.4209 (2.3091) Prec@1 44.531 (47.213) Prec@5 74.219 (72.590)
Epoch: [52][1830/5005] Time 0.205 (0.212) Data 0.048 (0.048) Loss 2.1448 (2.3086) Prec@1 52.344 (47.224) Prec@5 76.172 (72.595)
Epoch: [52][1840/5005] Time 0.201 (0.212) Data 0.065 (0.048) Loss 2.4382 (2.3085) Prec@1 42.578 (47.221) Prec@5 68.359 (72.597)
Epoch: [52][1850/5005] Time 0.206 (0.212) Data 0.046 (0.048) Loss 2.2587 (2.3082) Prec@1 48.047 (47.224) Prec@5 74.219 (72.601)
Epoch: [52][1860/5005] Time 0.203 (0.212) Data 0.047 (0.048) Loss 2.3267 (2.3083) Prec@1 44.531 (47.219) Prec@5 74.219 (72.597)
Epoch: [52][1870/5005] Time 0.205 (0.212) Data 0.044 (0.048) Loss 2.5422 (2.3087) Prec@1 42.188 (47.208) Prec@5 69.141 (72.591)
Epoch: [52][1880/5005] Time 0.212 (0.212) Data 0.042 (0.048) Loss 2.2494 (2.3088) Prec@1 51.562 (47.205) Prec@5 73.438 (72.591)
Epoch: [52][1890/5005] Time 0.208 (0.212) Data 0.043 (0.048) Loss 2.3209 (2.3087) Prec@1 48.438 (47.212) Prec@5 73.047 (72.594)
Epoch: [52][1900/5005] Time 0.211 (0.212) Data 0.043 (0.048) Loss 2.3575 (2.3094) Prec@1 46.094 (47.205) Prec@5 73.438 (72.587)
Epoch: [52][1910/5005] Time 0.213 (0.212) Data 0.043 (0.048) Loss 2.2470 (2.3091) Prec@1 44.531 (47.206) Prec@5 75.781 (72.587)
Epoch: [52][1920/5005] Time 0.213 (0.212) Data 0.058 (0.048) Loss 2.1968 (2.3089) Prec@1 45.703 (47.207) Prec@5 76.172 (72.588)
Epoch: [52][1930/5005] Time 0.209 (0.212) Data 0.042 (0.048) Loss 2.2271 (2.3087) Prec@1 48.047 (47.210) Prec@5 73.438 (72.593)
Epoch: [52][1940/5005] Time 0.213 (0.212) Data 0.043 (0.048) Loss 2.2880 (2.3085) Prec@1 47.656 (47.211) Prec@5 72.656 (72.599)
Epoch: [52][1950/5005] Time 0.214 (0.212) Data 0.044 (0.048) Loss 2.3814 (2.3083) Prec@1 41.016 (47.215) Prec@5 73.047 (72.603)
Epoch: [52][1960/5005] Time 0.207 (0.212) Data 0.044 (0.048) Loss 2.3196 (2.3080) Prec@1 44.922 (47.224) Prec@5 74.219 (72.608)
Epoch: [52][1970/5005] Time 0.199 (0.212) Data 0.041 (0.048) Loss 2.2767 (2.3081) Prec@1 48.828 (47.226) Prec@5 71.875 (72.604)
Epoch: [52][1980/5005] Time 0.204 (0.212) Data 0.053 (0.048) Loss 2.1799 (2.3079) Prec@1 51.172 (47.230) Prec@5 74.609 (72.606)
Epoch: [52][1990/5005] Time 0.211 (0.212) Data 0.044 (0.048) Loss 2.1007 (2.3078) Prec@1 51.172 (47.239) Prec@5 74.219 (72.608)
Epoch: [52][2000/5005] Time 0.211 (0.212) Data 0.043 (0.048) Loss 2.1568 (2.3081) Prec@1 50.781 (47.233) Prec@5 74.219 (72.604)
Epoch: [52][2010/5005] Time 0.212 (0.212) Data 0.042 (0.048) Loss 2.3024 (2.3083) Prec@1 45.703 (47.223) Prec@5 73.438 (72.600)
Epoch: [52][2020/5005] Time 0.191 (0.212) Data 0.048 (0.048) Loss 2.2305 (2.3083) Prec@1 51.953 (47.225) Prec@5 73.828 (72.600)
Epoch: [52][2030/5005] Time 0.195 (0.212) Data 0.050 (0.048) Loss 2.2643 (2.3083) Prec@1 48.438 (47.227) Prec@5 75.391 (72.602)
Epoch: [52][2040/5005] Time 0.210 (0.212) Data 0.046 (0.048) Loss 2.1400 (2.3080) Prec@1 51.562 (47.230) Prec@5 72.656 (72.607)
Epoch: [52][2050/5005] Time 0.210 (0.212) Data 0.046 (0.048) Loss 2.3770 (2.3078) Prec@1 46.484 (47.236) Prec@5 71.484 (72.611)
Epoch: [52][2060/5005] Time 0.210 (0.212) Data 0.062 (0.048) Loss 2.1975 (2.3079) Prec@1 48.047 (47.231) Prec@5 76.172 (72.612)
Epoch: [52][2070/5005] Time 0.211 (0.212) Data 0.056 (0.048) Loss 2.3507 (2.3080) Prec@1 46.484 (47.225) Prec@5 71.875 (72.609)
Epoch: [52][2080/5005] Time 0.209 (0.212) Data 0.047 (0.048) Loss 2.3115 (2.3080) Prec@1 45.312 (47.224) Prec@5 73.828 (72.608)
Epoch: [52][2090/5005] Time 0.206 (0.212) Data 0.053 (0.048) Loss 2.1268 (2.3076) Prec@1 48.438 (47.222) Prec@5 74.609 (72.616)
Epoch: [52][2100/5005] Time 0.214 (0.212) Data 0.045 (0.048) Loss 2.4596 (2.3074) Prec@1 44.922 (47.226) Prec@5 70.703 (72.621)
Epoch: [52][2110/5005] Time 0.201 (0.212) Data 0.045 (0.048) Loss 2.0835 (2.3073) Prec@1 54.297 (47.226) Prec@5 76.953 (72.623)
Epoch: [52][2120/5005] Time 0.200 (0.212) Data 0.045 (0.048) Loss 2.4522 (2.3071) Prec@1 42.969 (47.225) Prec@5 67.969 (72.625)
Epoch: [52][2130/5005] Time 0.220 (0.212) Data 0.046 (0.048) Loss 2.1553 (2.3065) Prec@1 50.000 (47.236) Prec@5 77.734 (72.637)
Epoch: [52][2140/5005] Time 0.209 (0.212) Data 0.047 (0.048) Loss 2.0909 (2.3067) Prec@1 48.438 (47.235) Prec@5 75.391 (72.637)
Epoch: [52][2150/5005] Time 0.204 (0.212) Data 0.043 (0.048) Loss 2.1020 (2.3066) Prec@1 50.781 (47.233) Prec@5 75.000 (72.637)
Epoch: [52][2160/5005] Time 0.201 (0.212) Data 0.057 (0.048) Loss 2.2378 (2.3065) Prec@1 45.703 (47.236) Prec@5 73.047 (72.637)
Epoch: [52][2170/5005] Time 0.210 (0.212) Data 0.044 (0.048) Loss 2.1945 (2.3063) Prec@1 45.312 (47.238) Prec@5 76.172 (72.644)
Epoch: [52][2180/5005] Time 0.211 (0.212) Data 0.043 (0.048) Loss 2.2397 (2.3062) Prec@1 51.172 (47.236) Prec@5 73.047 (72.648)
Epoch: [52][2190/5005] Time 0.205 (0.212) Data 0.044 (0.048) Loss 2.5946 (2.3062) Prec@1 43.359 (47.237) Prec@5 67.188 (72.648)
Epoch: [52][2200/5005] Time 0.213 (0.212) Data 0.041 (0.048) Loss 2.4722 (2.3065) Prec@1 43.359 (47.228) Prec@5 70.703 (72.644)
Epoch: [52][2210/5005] Time 0.207 (0.212) Data 0.063 (0.048) Loss 2.3535 (2.3067) Prec@1 44.922 (47.226) Prec@5 69.531 (72.639)
Epoch: [52][2220/5005] Time 0.208 (0.212) Data 0.053 (0.048) Loss 2.3010 (2.3066) Prec@1 48.828 (47.230) Prec@5 70.312 (72.636)
Epoch: [52][2230/5005] Time 0.202 (0.212) Data 0.040 (0.048) Loss 2.3115 (2.3066) Prec@1 48.047 (47.231) Prec@5 73.438 (72.634)
Epoch: [52][2240/5005] Time 0.207 (0.212) Data 0.043 (0.048) Loss 2.3891 (2.3069) Prec@1 47.266 (47.229) Prec@5 71.875 (72.627)
Epoch: [52][2250/5005] Time 0.215 (0.212) Data 0.049 (0.048) Loss 2.1418 (2.3069) Prec@1 46.094 (47.227) Prec@5 77.344 (72.628)
Epoch: [52][2260/5005] Time 0.211 (0.212) Data 0.048 (0.048) Loss 2.2361 (2.3067) Prec@1 48.828 (47.228) Prec@5 71.875 (72.632)
Epoch: [52][2270/5005] Time 0.201 (0.212) Data 0.044 (0.048) Loss 2.4225 (2.3064) Prec@1 42.578 (47.232) Prec@5 69.922 (72.634)
Epoch: [52][2280/5005] Time 0.206 (0.212) Data 0.043 (0.048) Loss 2.3454 (2.3064) Prec@1 46.484 (47.234) Prec@5 71.484 (72.634)
Epoch: [52][2290/5005] Time 0.214 (0.212) Data 0.044 (0.048) Loss 2.1013 (2.3063) Prec@1 51.172 (47.233) Prec@5 76.172 (72.636)
Epoch: [52][2300/5005] Time 0.211 (0.212) Data 0.044 (0.048) Loss 2.2472 (2.3063) Prec@1 47.656 (47.237) Prec@5 73.047 (72.636)
Epoch: [52][2310/5005] Time 0.210 (0.212) Data 0.044 (0.048) Loss 2.1771 (2.3062) Prec@1 47.266 (47.243) Prec@5 73.438 (72.637)
Epoch: [52][2320/5005] Time 0.197 (0.212) Data 0.044 (0.048) Loss 2.4130 (2.3060) Prec@1 46.484 (47.246) Prec@5 69.922 (72.638)
Epoch: [52][2330/5005] Time 0.208 (0.212) Data 0.053 (0.048) Loss 2.2055 (2.3058) Prec@1 51.953 (47.252) Prec@5 72.266 (72.640)
Epoch: [52][2340/5005] Time 0.213 (0.212) Data 0.041 (0.048) Loss 2.3627 (2.3055) Prec@1 44.531 (47.257) Prec@5 75.391 (72.646)
Epoch: [52][2350/5005] Time 0.204 (0.212) Data 0.052 (0.048) Loss 2.1852 (2.3054) Prec@1 48.828 (47.260) Prec@5 74.609 (72.647)
Epoch: [52][2360/5005] Time 0.212 (0.212) Data 0.042 (0.048) Loss 2.1641 (2.3053) Prec@1 49.219 (47.264) Prec@5 75.391 (72.649)
Epoch: [52][2370/5005] Time 0.202 (0.212) Data 0.045 (0.048) Loss 2.3229 (2.3054) Prec@1 44.141 (47.258) Prec@5 69.531 (72.645)
Epoch: [52][2380/5005] Time 0.212 (0.212) Data 0.046 (0.048) Loss 2.3626 (2.3054) Prec@1 46.484 (47.258) Prec@5 71.094 (72.647)
Epoch: [52][2390/5005] Time 0.208 (0.212) Data 0.059 (0.048) Loss 2.3075 (2.3051) Prec@1 47.266 (47.265) Prec@5 71.484 (72.646)
Epoch: [52][2400/5005] Time 0.205 (0.212) Data 0.063 (0.048) Loss 2.3451 (2.3052) Prec@1 42.969 (47.261) Prec@5 72.656 (72.645)
Epoch: [52][2410/5005] Time 0.200 (0.212) Data 0.045 (0.048) Loss 2.4345 (2.3052) Prec@1 43.750 (47.256) Prec@5 69.531 (72.645)
Epoch: [52][2420/5005] Time 0.208 (0.212) Data 0.043 (0.048) Loss 2.3268 (2.3050) Prec@1 46.875 (47.261) Prec@5 73.438 (72.647)
Epoch: [52][2430/5005] Time 0.209 (0.212) Data 0.043 (0.048) Loss 2.1373 (2.3051) Prec@1 49.609 (47.260) Prec@5 73.438 (72.644)
Epoch: [52][2440/5005] Time 0.215 (0.212) Data 0.044 (0.048) Loss 2.0203 (2.3050) Prec@1 56.641 (47.265) Prec@5 77.734 (72.645)
Epoch: [52][2450/5005] Time 0.215 (0.212) Data 0.044 (0.048) Loss 2.2649 (2.3049) Prec@1 44.531 (47.267) Prec@5 70.703 (72.643)
Epoch: [52][2460/5005] Time 0.211 (0.212) Data 0.051 (0.048) Loss 2.2273 (2.3046) Prec@1 44.531 (47.267) Prec@5 74.219 (72.645)
Epoch: [52][2470/5005] Time 0.213 (0.212) Data 0.046 (0.048) Loss 2.2495 (2.3046) Prec@1 46.484 (47.267) Prec@5 70.312 (72.646)
Epoch: [52][2480/5005] Time 0.213 (0.211) Data 0.046 (0.048) Loss 2.3536 (2.3047) Prec@1 44.922 (47.267) Prec@5 74.609 (72.648)
Epoch: [52][2490/5005] Time 0.208 (0.211) Data 0.045 (0.048) Loss 2.1320 (2.3047) Prec@1 47.656 (47.260) Prec@5 78.125 (72.649)
Epoch: [52][2500/5005] Time 0.207 (0.211) Data 0.043 (0.048) Loss 2.3373 (2.3046) Prec@1 48.047 (47.261) Prec@5 72.266 (72.652)
Epoch: [52][2510/5005] Time 0.209 (0.211) Data 0.044 (0.048) Loss 2.3289 (2.3046) Prec@1 45.312 (47.259) Prec@5 75.781 (72.654)
Epoch: [52][2520/5005] Time 0.214 (0.211) Data 0.042 (0.048) Loss 2.2548 (2.3044) Prec@1 47.266 (47.259) Prec@5 73.047 (72.655)
Epoch: [52][2530/5005] Time 0.205 (0.211) Data 0.049 (0.048) Loss 2.4424 (2.3045) Prec@1 44.922 (47.261) Prec@5 69.922 (72.651)
Epoch: [52][2540/5005] Time 0.212 (0.211) Data 0.041 (0.048) Loss 2.2052 (2.3045) Prec@1 51.953 (47.264) Prec@5 74.219 (72.651)
Epoch: [52][2550/5005] Time 0.207 (0.211) Data 0.040 (0.048) Loss 2.3485 (2.3044) Prec@1 47.266 (47.268) Prec@5 71.484 (72.652)
Epoch: [52][2560/5005] Time 0.217 (0.211) Data 0.044 (0.048) Loss 2.4647 (2.3044) Prec@1 42.188 (47.267) Prec@5 69.531 (72.654)
Epoch: [52][2570/5005] Time 0.205 (0.211) Data 0.044 (0.048) Loss 2.2964 (2.3045) Prec@1 44.922 (47.265) Prec@5 74.219 (72.652)
Epoch: [52][2580/5005] Time 0.206 (0.211) Data 0.043 (0.048) Loss 2.4693 (2.3050) Prec@1 43.359 (47.256) Prec@5 67.188 (72.646)
Epoch: [52][2590/5005] Time 0.219 (0.211) Data 0.042 (0.048) Loss 2.3881 (2.3049) Prec@1 48.828 (47.263) Prec@5 73.438 (72.646)
Epoch: [52][2600/5005] Time 0.212 (0.211) Data 0.047 (0.048) Loss 2.3569 (2.3051) Prec@1 45.312 (47.256) Prec@5 75.000 (72.645)
Epoch: [52][2610/5005] Time 0.195 (0.211) Data 0.064 (0.048) Loss 2.3436 (2.3047) Prec@1 48.438 (47.261) Prec@5 72.266 (72.648)
Epoch: [52][2620/5005] Time 0.204 (0.211) Data 0.052 (0.048) Loss 2.1896 (2.3046) Prec@1 51.172 (47.263) Prec@5 72.266 (72.648)
Epoch: [52][2630/5005] Time 0.219 (0.211) Data 0.043 (0.048) Loss 2.4505 (2.3049) Prec@1 46.094 (47.261) Prec@5 72.266 (72.642)
Epoch: [52][2640/5005] Time 0.215 (0.211) Data 0.042 (0.048) Loss 2.5448 (2.3050) Prec@1 42.578 (47.259) Prec@5 69.141 (72.642)
Epoch: [52][2650/5005] Time 0.212 (0.211) Data 0.044 (0.048) Loss 2.5797 (2.3051) Prec@1 44.141 (47.260) Prec@5 67.578 (72.639)
Epoch: [52][2660/5005] Time 0.204 (0.211) Data 0.045 (0.048) Loss 2.2624 (2.3051) Prec@1 47.266 (47.263) Prec@5 75.781 (72.639)
Epoch: [52][2670/5005] Time 0.204 (0.211) Data 0.043 (0.048) Loss 2.0013 (2.3047) Prec@1 49.219 (47.268) Prec@5 75.781 (72.644)
Epoch: [52][2680/5005] Time 0.206 (0.211) Data 0.040 (0.048) Loss 2.1593 (2.3047) Prec@1 50.000 (47.267) Prec@5 76.172 (72.645)
Epoch: [52][2690/5005] Time 0.195 (0.211) Data 0.050 (0.048) Loss 2.1151 (2.3045) Prec@1 51.562 (47.273) Prec@5 75.000 (72.646)
Epoch: [52][2700/5005] Time 0.206 (0.211) Data 0.043 (0.048) Loss 2.2207 (2.3046) Prec@1 48.438 (47.268) Prec@5 74.219 (72.644)
Epoch: [52][2710/5005] Time 0.219 (0.211) Data 0.046 (0.048) Loss 2.2310 (2.3048) Prec@1 46.484 (47.261) Prec@5 74.609 (72.643)
Epoch: [52][2720/5005] Time 0.204 (0.211) Data 0.053 (0.048) Loss 2.2720 (2.3047) Prec@1 48.828 (47.261) Prec@5 72.266 (72.643)
Epoch: [52][2730/5005] Time 0.208 (0.211) Data 0.057 (0.048) Loss 2.4225 (2.3046) Prec@1 44.531 (47.262) Prec@5 69.141 (72.645)
Epoch: [52][2740/5005] Time 0.201 (0.211) Data 0.056 (0.048) Loss 2.2730 (2.3047) Prec@1 48.438 (47.262) Prec@5 74.219 (72.643)
Epoch: [52][2750/5005] Time 0.213 (0.211) Data 0.043 (0.048) Loss 2.2277 (2.3045) Prec@1 47.656 (47.266) Prec@5 71.875 (72.644)
Epoch: [52][2760/5005] Time 0.208 (0.211) Data 0.044 (0.048) Loss 2.2398 (2.3044) Prec@1 47.266 (47.267) Prec@5 75.781 (72.651)
Epoch: [52][2770/5005] Time 0.206 (0.211) Data 0.043 (0.048) Loss 2.2122 (2.3044) Prec@1 47.266 (47.268) Prec@5 73.828 (72.652)
Epoch: [52][2780/5005] Time 0.208 (0.211) Data 0.039 (0.048) Loss 2.4620 (2.3043) Prec@1 42.578 (47.271) Prec@5 69.922 (72.654)
Epoch: [52][2790/5005] Time 0.213 (0.211) Data 0.043 (0.048) Loss 2.5766 (2.3044) Prec@1 37.891 (47.271) Prec@5 66.797 (72.652)
Epoch: [52][2800/5005] Time 0.195 (0.211) Data 0.055 (0.048) Loss 1.9698 (2.3042) Prec@1 53.516 (47.276) Prec@5 79.297 (72.657)
Epoch: [52][2810/5005] Time 0.216 (0.211) Data 0.043 (0.048) Loss 2.4181 (2.3042) Prec@1 48.438 (47.278) Prec@5 70.703 (72.658)
Epoch: [52][2820/5005] Time 0.211 (0.211) Data 0.040 (0.048) Loss 2.0896 (2.3041) Prec@1 50.781 (47.280) Prec@5 77.734 (72.660)
Epoch: [52][2830/5005] Time 0.207 (0.211) Data 0.042 (0.048) Loss 2.3826 (2.3041) Prec@1 44.141 (47.278) Prec@5 72.656 (72.661)
Epoch: [52][2840/5005] Time 0.211 (0.211) Data 0.048 (0.048) Loss 2.3198 (2.3041) Prec@1 45.312 (47.275) Prec@5 72.656 (72.663)
Epoch: [52][2850/5005] Time 0.214 (0.211) Data 0.043 (0.048) Loss 2.3399 (2.3040) Prec@1 49.609 (47.278) Prec@5 70.703 (72.663)
Epoch: [52][2860/5005] Time 0.208 (0.211) Data 0.047 (0.048) Loss 2.2741 (2.3042) Prec@1 48.438 (47.279) Prec@5 73.438 (72.662)
Epoch: [52][2870/5005] Time 0.219 (0.211) Data 0.043 (0.048) Loss 2.2131 (2.3040) Prec@1 50.781 (47.288) Prec@5 76.172 (72.667)
Epoch: [52][2880/5005] Time 0.211 (0.211) Data 0.049 (0.048) Loss 2.0659 (2.3038) Prec@1 48.438 (47.290) Prec@5 76.562 (72.669)
Epoch: [52][2890/5005] Time 0.204 (0.211) Data 0.045 (0.048) Loss 2.4117 (2.3037) Prec@1 42.188 (47.295) Prec@5 71.094 (72.673)
Epoch: [52][2900/5005] Time 0.215 (0.211) Data 0.046 (0.048) Loss 2.0111 (2.3034) Prec@1 50.781 (47.300) Prec@5 77.344 (72.680)
Epoch: [52][2910/5005] Time 0.209 (0.211) Data 0.042 (0.048) Loss 2.4549 (2.3035) Prec@1 38.281 (47.299) Prec@5 75.391 (72.679)
Epoch: [52][2920/5005] Time 0.205 (0.211) Data 0.041 (0.048) Loss 2.3857 (2.3035) Prec@1 49.219 (47.293) Prec@5 69.531 (72.679)
Epoch: [52][2930/5005] Time 0.207 (0.211) Data 0.060 (0.048) Loss 2.4660 (2.3036) Prec@1 40.234 (47.290) Prec@5 71.875 (72.676)
Epoch: [52][2940/5005] Time 0.214 (0.211) Data 0.058 (0.048) Loss 2.4275 (2.3034) Prec@1 44.141 (47.294) Prec@5 68.750 (72.679)
Epoch: [52][2950/5005] Time 0.199 (0.211) Data 0.060 (0.048) Loss 2.3987 (2.3032) Prec@1 44.531 (47.299) Prec@5 73.047 (72.684)
Epoch: [52][2960/5005] Time 0.210 (0.211) Data 0.043 (0.048) Loss 2.3598 (2.3032) Prec@1 48.828 (47.303) Prec@5 68.750 (72.682)
Epoch: [52][2970/5005] Time 0.210 (0.211) Data 0.044 (0.048) Loss 2.3034 (2.3030) Prec@1 44.922 (47.308) Prec@5 75.781 (72.689)
Epoch: [52][2980/5005] Time 0.212 (0.211) Data 0.041 (0.048) Loss 2.3736 (2.3030) Prec@1 45.312 (47.308) Prec@5 76.562 (72.693)
Epoch: [52][2990/5005] Time 0.207 (0.211) Data 0.043 (0.048) Loss 2.2490 (2.3030) Prec@1 48.828 (47.308) Prec@5 73.438 (72.692)
Epoch: [52][3000/5005] Time 0.194 (0.211) Data 0.046 (0.048) Loss 2.3034 (2.3028) Prec@1 46.875 (47.311) Prec@5 73.047 (72.694)
Epoch: [52][3010/5005] Time 0.202 (0.211) Data 0.045 (0.048) Loss 2.1718 (2.3029) Prec@1 48.828 (47.310) Prec@5 73.828 (72.692)
Epoch: [52][3020/5005] Time 0.208 (0.211) Data 0.045 (0.048) Loss 2.2146 (2.3031) Prec@1 49.609 (47.307) Prec@5 75.781 (72.687)
Epoch: [52][3030/5005] Time 0.210 (0.211) Data 0.042 (0.048) Loss 2.2775 (2.3030) Prec@1 49.609 (47.304) Prec@5 73.047 (72.689)
Epoch: [52][3040/5005] Time 0.210 (0.211) Data 0.049 (0.048) Loss 2.1121 (2.3029) Prec@1 51.172 (47.311) Prec@5 73.828 (72.687)
Epoch: [52][3050/5005] Time 0.215 (0.211) Data 0.044 (0.048) Loss 2.2549 (2.3029) Prec@1 45.703 (47.306) Prec@5 76.562 (72.685)
Epoch: [52][3060/5005] Time 0.211 (0.211) Data 0.044 (0.048) Loss 2.1915 (2.3029) Prec@1 52.344 (47.309) Prec@5 73.438 (72.686)
Epoch: [52][3070/5005] Time 0.209 (0.211) Data 0.046 (0.048) Loss 2.2557 (2.3028) Prec@1 46.094 (47.307) Prec@5 75.781 (72.688)
Epoch: [52][3080/5005] Time 0.209 (0.211) Data 0.054 (0.048) Loss 2.1589 (2.3029) Prec@1 46.484 (47.304) Prec@5 73.828 (72.688)
Epoch: [52][3090/5005] Time 0.220 (0.211) Data 0.048 (0.048) Loss 2.5227 (2.3028) Prec@1 37.500 (47.304) Prec@5 68.359 (72.689)
Epoch: [52][3100/5005] Time 0.211 (0.211) Data 0.045 (0.048) Loss 2.2317 (2.3027) Prec@1 48.438 (47.305) Prec@5 73.828 (72.692)
Epoch: [52][3110/5005] Time 0.197 (0.211) Data 0.049 (0.048) Loss 2.1041 (2.3024) Prec@1 51.172 (47.309) Prec@5 76.172 (72.697)
Epoch: [52][3120/5005] Time 0.207 (0.211) Data 0.052 (0.048) Loss 2.3036 (2.3024) Prec@1 46.484 (47.310) Prec@5 73.047 (72.694)
Epoch: [52][3130/5005] Time 0.204 (0.211) Data 0.044 (0.048) Loss 2.4032 (2.3022) Prec@1 46.484 (47.316) Prec@5 73.828 (72.699)
Epoch: [52][3140/5005] Time 0.206 (0.211) Data 0.048 (0.048) Loss 2.0199 (2.3020) Prec@1 57.031 (47.321) Prec@5 76.172 (72.700)
Epoch: [52][3150/5005] Time 0.193 (0.211) Data 0.044 (0.048) Loss 2.3789 (2.3019) Prec@1 44.922 (47.324) Prec@5 70.703 (72.700)
Epoch: [52][3160/5005] Time 0.206 (0.211) Data 0.046 (0.048) Loss 2.1286 (2.3019) Prec@1 48.828 (47.325) Prec@5 76.562 (72.700)
Epoch: [52][3170/5005] Time 0.209 (0.211) Data 0.044 (0.048) Loss 2.2372 (2.3020) Prec@1 50.000 (47.325) Prec@5 72.656 (72.700)
Epoch: [52][3180/5005] Time 0.208 (0.211) Data 0.044 (0.048) Loss 2.1726 (2.3020) Prec@1 52.734 (47.327) Prec@5 73.828 (72.701)
Epoch: [52][3190/5005] Time 0.203 (0.211) Data 0.042 (0.048) Loss 2.3755 (2.3020) Prec@1 44.922 (47.328) Prec@5 70.703 (72.702)
Epoch: [52][3200/5005] Time 0.202 (0.211) Data 0.057 (0.048) Loss 2.2954 (2.3020) Prec@1 44.922 (47.331) Prec@5 76.172 (72.703)
Epoch: [52][3210/5005] Time 0.202 (0.211) Data 0.042 (0.048) Loss 2.2959 (2.3019) Prec@1 51.172 (47.335) Prec@5 73.828 (72.706)
Epoch: [52][3220/5005] Time 0.201 (0.211) Data 0.041 (0.048) Loss 2.3722 (2.3018) Prec@1 46.875 (47.335) Prec@5 71.094 (72.708)
Epoch: [52][3230/5005] Time 0.211 (0.211) Data 0.042 (0.048) Loss 2.3308 (2.3017) Prec@1 48.828 (47.336) Prec@5 71.094 (72.708)
Epoch: [52][3240/5005] Time 0.197 (0.211) Data 0.047 (0.048) Loss 2.5502 (2.3018) Prec@1 45.312 (47.335) Prec@5 68.750 (72.706)
Epoch: [52][3250/5005] Time 0.210 (0.211) Data 0.043 (0.048) Loss 2.3052 (2.3018) Prec@1 48.828 (47.337) Prec@5 73.438 (72.708)
Epoch: [52][3260/5005] Time 0.204 (0.211) Data 0.047 (0.048) Loss 2.0924 (2.3018) Prec@1 51.562 (47.334) Prec@5 75.781 (72.708)
Epoch: [52][3270/5005] Time 0.203 (0.211) Data 0.061 (0.048) Loss 2.3642 (2.3017) Prec@1 48.828 (47.337) Prec@5 71.875 (72.711)
Epoch: [52][3280/5005] Time 0.206 (0.211) Data 0.068 (0.048) Loss 2.3141 (2.3018) Prec@1 48.438 (47.338) Prec@5 71.094 (72.711)
Epoch: [52][3290/5005] Time 0.204 (0.211) Data 0.054 (0.048) Loss 2.3285 (2.3017) Prec@1 48.047 (47.340) Prec@5 71.094 (72.714)
Epoch: [52][3300/5005] Time 0.209 (0.211) Data 0.049 (0.048) Loss 2.2123 (2.3017) Prec@1 49.219 (47.342) Prec@5 73.438 (72.716)
Epoch: [52][3310/5005] Time 0.203 (0.211) Data 0.048 (0.048) Loss 2.0956 (2.3016) Prec@1 50.000 (47.341) Prec@5 77.344 (72.716)
Epoch: [52][3320/5005] Time 0.212 (0.211) Data 0.044 (0.048) Loss 2.2635 (2.3016) Prec@1 50.781 (47.341) Prec@5 74.219 (72.718)
Epoch: [52][3330/5005] Time 0.212 (0.211) Data 0.043 (0.048) Loss 2.4138 (2.3016) Prec@1 47.656 (47.343) Prec@5 68.359 (72.716)
Epoch: [52][3340/5005] Time 0.207 (0.211) Data 0.044 (0.048) Loss 2.3970 (2.3016) Prec@1 47.266 (47.344) Prec@5 70.312 (72.718)
Epoch: [52][3350/5005] Time 0.203 (0.211) Data 0.048 (0.048) Loss 2.3120 (2.3015) Prec@1 46.484 (47.344) Prec@5 71.875 (72.719)
Epoch: [52][3360/5005] Time 0.208 (0.211) Data 0.043 (0.048) Loss 2.2743 (2.3016) Prec@1 47.656 (47.343) Prec@5 75.000 (72.717)
Epoch: [52][3370/5005] Time 0.205 (0.211) Data 0.045 (0.048) Loss 2.2764 (2.3017) Prec@1 46.875 (47.341) Prec@5 72.656 (72.715)
Epoch: [52][3380/5005] Time 0.214 (0.211) Data 0.046 (0.048) Loss 2.2630 (2.3015) Prec@1 48.828 (47.344) Prec@5 73.047 (72.717)
Epoch: [52][3390/5005] Time 0.210 (0.211) Data 0.045 (0.048) Loss 2.2741 (2.3015) Prec@1 49.219 (47.345) Prec@5 72.266 (72.716)
Epoch: [52][3400/5005] Time 0.206 (0.211) Data 0.050 (0.048) Loss 2.1238 (2.3015) Prec@1 50.391 (47.345) Prec@5 75.781 (72.715)
Epoch: [52][3410/5005] Time 0.204 (0.211) Data 0.052 (0.048) Loss 2.1215 (2.3013) Prec@1 52.344 (47.351) Prec@5 75.391 (72.716)
Epoch: [52][3420/5005] Time 0.208 (0.211) Data 0.043 (0.048) Loss 2.3302 (2.3012) Prec@1 45.703 (47.355) Prec@5 73.438 (72.718)
Epoch: [52][3430/5005] Time 0.210 (0.211) Data 0.049 (0.048) Loss 2.2745 (2.3012) Prec@1 44.141 (47.355) Prec@5 72.656 (72.719)
Epoch: [52][3440/5005] Time 0.200 (0.211) Data 0.060 (0.048) Loss 2.3449 (2.3010) Prec@1 46.484 (47.356) Prec@5 71.484 (72.724)
Epoch: [52][3450/5005] Time 0.208 (0.211) Data 0.045 (0.048) Loss 2.2191 (2.3007) Prec@1 47.266 (47.360) Prec@5 72.656 (72.727)
Epoch: [52][3460/5005] Time 0.227 (0.210) Data 0.047 (0.048) Loss 2.1033 (2.3006) Prec@1 47.266 (47.363) Prec@5 76.172 (72.732)
Epoch: [52][3470/5005] Time 0.201 (0.210) Data 0.050 (0.048) Loss 2.1727 (2.3003) Prec@1 50.781 (47.370) Prec@5 76.562 (72.736)
Epoch: [52][3480/5005] Time 0.218 (0.210) Data 0.046 (0.048) Loss 2.2422 (2.3002) Prec@1 45.703 (47.373) Prec@5 73.047 (72.740)
Epoch: [52][3490/5005] Time 0.216 (0.210) Data 0.061 (0.048) Loss 2.3222 (2.3002) Prec@1 48.047 (47.373) Prec@5 70.703 (72.738)
Epoch: [52][3500/5005] Time 0.203 (0.210) Data 0.047 (0.048) Loss 2.1513 (2.3003) Prec@1 51.172 (47.372) Prec@5 75.000 (72.737)
Epoch: [52][3510/5005] Time 0.190 (0.210) Data 0.048 (0.048) Loss 2.1749 (2.3001) Prec@1 48.047 (47.374) Prec@5 73.438 (72.739)
Epoch: [52][3520/5005] Time 0.202 (0.210) Data 0.044 (0.048) Loss 2.4437 (2.3002) Prec@1 46.094 (47.373) Prec@5 70.312 (72.738)
Epoch: [52][3530/5005] Time 0.203 (0.210) Data 0.044 (0.048) Loss 2.2064 (2.2999) Prec@1 46.875 (47.378) Prec@5 75.391 (72.743)
Epoch: [52][3540/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.1845 (2.2996) Prec@1 48.828 (47.380) Prec@5 75.000 (72.748)
Epoch: [52][3550/5005] Time 0.200 (0.210) Data 0.047 (0.048) Loss 2.2768 (2.2995) Prec@1 47.266 (47.381) Prec@5 70.703 (72.748)
Epoch: [52][3560/5005] Time 0.206 (0.210) Data 0.042 (0.048) Loss 2.3518 (2.2994) Prec@1 45.703 (47.386) Prec@5 70.312 (72.748)
Epoch: [52][3570/5005] Time 0.212 (0.210) Data 0.046 (0.048) Loss 2.4395 (2.2994) Prec@1 48.047 (47.385) Prec@5 71.094 (72.746)
Epoch: [52][3580/5005] Time 0.203 (0.210) Data 0.043 (0.048) Loss 2.2396 (2.2994) Prec@1 50.000 (47.385) Prec@5 70.703 (72.744)
Epoch: [52][3590/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.1965 (2.2991) Prec@1 50.391 (47.392) Prec@5 75.391 (72.751)
Epoch: [52][3600/5005] Time 0.212 (0.210) Data 0.040 (0.048) Loss 2.3707 (2.2989) Prec@1 49.219 (47.396) Prec@5 70.703 (72.751)
Epoch: [52][3610/5005] Time 0.214 (0.210) Data 0.042 (0.048) Loss 2.1347 (2.2989) Prec@1 51.562 (47.397) Prec@5 73.438 (72.750)
Epoch: [52][3620/5005] Time 0.216 (0.210) Data 0.043 (0.048) Loss 2.4182 (2.2986) Prec@1 45.703 (47.406) Prec@5 71.484 (72.755)
Epoch: [52][3630/5005] Time 0.210 (0.210) Data 0.042 (0.048) Loss 2.5280 (2.2985) Prec@1 43.359 (47.409) Prec@5 67.969 (72.758)
Epoch: [52][3640/5005] Time 0.208 (0.210) Data 0.040 (0.048) Loss 2.3908 (2.2985) Prec@1 45.312 (47.411) Prec@5 68.359 (72.756)
Epoch: [52][3650/5005] Time 0.198 (0.210) Data 0.040 (0.048) Loss 2.1843 (2.2984) Prec@1 50.000 (47.411) Prec@5 74.219 (72.759)
Epoch: [52][3660/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.3402 (2.2983) Prec@1 43.750 (47.416) Prec@5 71.875 (72.764)
Epoch: [52][3670/5005] Time 0.209 (0.210) Data 0.042 (0.048) Loss 2.4536 (2.2983) Prec@1 45.703 (47.414) Prec@5 72.266 (72.766)
Epoch: [52][3680/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.1334 (2.2985) Prec@1 46.875 (47.409) Prec@5 76.172 (72.766)
Epoch: [52][3690/5005] Time 0.215 (0.210) Data 0.044 (0.048) Loss 2.1662 (2.2985) Prec@1 50.391 (47.410) Prec@5 76.953 (72.768)
Epoch: [52][3700/5005] Time 0.200 (0.210) Data 0.041 (0.048) Loss 2.2043 (2.2984) Prec@1 53.516 (47.410) Prec@5 72.266 (72.769)
Epoch: [52][3710/5005] Time 0.207 (0.210) Data 0.041 (0.048) Loss 2.2418 (2.2984) Prec@1 47.266 (47.410) Prec@5 73.047 (72.769)
Epoch: [52][3720/5005] Time 0.208 (0.210) Data 0.049 (0.048) Loss 2.2145 (2.2983) Prec@1 51.172 (47.410) Prec@5 75.391 (72.773)
Epoch: [52][3730/5005] Time 0.206 (0.210) Data 0.045 (0.048) Loss 2.0426 (2.2981) Prec@1 51.172 (47.413) Prec@5 78.516 (72.775)
Epoch: [52][3740/5005] Time 0.208 (0.210) Data 0.047 (0.048) Loss 2.3358 (2.2979) Prec@1 51.562 (47.417) Prec@5 73.047 (72.778)
Epoch: [52][3750/5005] Time 0.198 (0.210) Data 0.047 (0.048) Loss 2.0510 (2.2980) Prec@1 50.000 (47.416) Prec@5 76.953 (72.774)
Epoch: [52][3760/5005] Time 0.206 (0.210) Data 0.045 (0.048) Loss 2.2902 (2.2981) Prec@1 49.219 (47.416) Prec@5 69.922 (72.771)
Epoch: [52][3770/5005] Time 0.205 (0.210) Data 0.049 (0.048) Loss 2.2059 (2.2979) Prec@1 50.781 (47.420) Prec@5 71.875 (72.772)
Epoch: [52][3780/5005] Time 0.198 (0.210) Data 0.048 (0.048) Loss 2.3351 (2.2978) Prec@1 45.703 (47.424) Prec@5 68.750 (72.771)
Epoch: [52][3790/5005] Time 0.212 (0.210) Data 0.047 (0.048) Loss 2.4127 (2.2979) Prec@1 49.219 (47.421) Prec@5 69.141 (72.771)
Epoch: [52][3800/5005] Time 0.199 (0.210) Data 0.048 (0.048) Loss 2.2385 (2.2979) Prec@1 46.484 (47.422) Prec@5 74.609 (72.769)
Epoch: [52][3810/5005] Time 0.202 (0.210) Data 0.049 (0.048) Loss 2.3295 (2.2981) Prec@1 47.266 (47.420) Prec@5 72.656 (72.765)
Epoch: [52][3820/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.1250 (2.2978) Prec@1 53.906 (47.426) Prec@5 75.391 (72.770)
Epoch: [52][3830/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.2190 (2.2976) Prec@1 47.266 (47.431) Prec@5 73.047 (72.774)
Epoch: [52][3840/5005] Time 0.212 (0.210) Data 0.042 (0.048) Loss 2.4529 (2.2976) Prec@1 42.578 (47.430) Prec@5 67.188 (72.772)
Epoch: [52][3850/5005] Time 0.208 (0.210) Data 0.047 (0.048) Loss 2.4071 (2.2976) Prec@1 46.094 (47.428) Prec@5 70.703 (72.773)
Epoch: [52][3860/5005] Time 0.205 (0.210) Data 0.060 (0.048) Loss 2.0806 (2.2975) Prec@1 52.344 (47.430) Prec@5 76.562 (72.775)
Epoch: [52][3870/5005] Time 0.200 (0.210) Data 0.058 (0.048) Loss 2.2966 (2.2976) Prec@1 46.875 (47.426) Prec@5 71.875 (72.773)
Epoch: [52][3880/5005] Time 0.210 (0.210) Data 0.045 (0.048) Loss 2.1371 (2.2976) Prec@1 52.344 (47.429) Prec@5 75.391 (72.774)
Epoch: [52][3890/5005] Time 0.195 (0.210) Data 0.044 (0.048) Loss 2.4508 (2.2976) Prec@1 46.094 (47.430) Prec@5 68.750 (72.774)
Epoch: [52][3900/5005] Time 0.199 (0.210) Data 0.047 (0.048) Loss 2.4574 (2.2976) Prec@1 46.484 (47.430) Prec@5 67.969 (72.772)
Epoch: [52][3910/5005] Time 0.193 (0.210) Data 0.061 (0.048) Loss 2.2843 (2.2975) Prec@1 47.656 (47.431) Prec@5 74.219 (72.772)
Epoch: [52][3920/5005] Time 0.219 (0.210) Data 0.046 (0.048) Loss 2.1678 (2.2976) Prec@1 47.656 (47.429) Prec@5 73.047 (72.770)
Epoch: [52][3930/5005] Time 0.203 (0.210) Data 0.045 (0.048) Loss 2.1987 (2.2974) Prec@1 51.562 (47.432) Prec@5 75.000 (72.773)
Epoch: [52][3940/5005] Time 0.205 (0.210) Data 0.042 (0.048) Loss 2.2315 (2.2973) Prec@1 47.266 (47.430) Prec@5 73.438 (72.774)
Epoch: [52][3950/5005] Time 0.210 (0.210) Data 0.048 (0.048) Loss 2.1235 (2.2970) Prec@1 49.609 (47.435) Prec@5 77.344 (72.781)
Epoch: [52][3960/5005] Time 0.205 (0.210) Data 0.046 (0.048) Loss 2.1577 (2.2969) Prec@1 52.344 (47.438) Prec@5 75.391 (72.782)
Epoch: [52][3970/5005] Time 0.194 (0.210) Data 0.068 (0.048) Loss 2.2689 (2.2969) Prec@1 50.391 (47.439) Prec@5 73.828 (72.783)
Epoch: [52][3980/5005] Time 0.203 (0.210) Data 0.047 (0.048) Loss 2.0732 (2.2968) Prec@1 50.000 (47.441) Prec@5 76.172 (72.781)
Epoch: [52][3990/5005] Time 0.205 (0.210) Data 0.045 (0.048) Loss 2.4236 (2.2970) Prec@1 44.922 (47.436) Prec@5 69.531 (72.778)
Epoch: [52][4000/5005] Time 0.214 (0.210) Data 0.043 (0.048) Loss 2.2826 (2.2971) Prec@1 46.484 (47.434) Prec@5 70.312 (72.778)
Epoch: [52][4010/5005] Time 0.209 (0.210) Data 0.046 (0.048) Loss 2.3934 (2.2969) Prec@1 45.703 (47.436) Prec@5 68.359 (72.780)
Epoch: [52][4020/5005] Time 0.206 (0.210) Data 0.048 (0.048) Loss 2.4706 (2.2968) Prec@1 43.359 (47.440) Prec@5 68.750 (72.785)
Epoch: [52][4030/5005] Time 0.207 (0.210) Data 0.043 (0.048) Loss 2.4491 (2.2970) Prec@1 45.703 (47.438) Prec@5 69.922 (72.781)
Epoch: [52][4040/5005] Time 0.215 (0.210) Data 0.046 (0.048) Loss 2.3211 (2.2971) Prec@1 45.312 (47.434) Prec@5 71.094 (72.779)
Epoch: [52][4050/5005] Time 0.215 (0.210) Data 0.042 (0.048) Loss 2.4801 (2.2970) Prec@1 44.531 (47.436) Prec@5 67.969 (72.781)
Epoch: [52][4060/5005] Time 0.213 (0.210) Data 0.042 (0.048) Loss 2.2922 (2.2969) Prec@1 44.531 (47.437) Prec@5 67.969 (72.782)
Epoch: [52][4070/5005] Time 0.214 (0.210) Data 0.042 (0.048) Loss 2.4808 (2.2969) Prec@1 45.312 (47.439) Prec@5 71.875 (72.782)
Epoch: [52][4080/5005] Time 0.210 (0.210) Data 0.041 (0.048) Loss 2.0521 (2.2968) Prec@1 50.391 (47.440) Prec@5 76.562 (72.783)
Epoch: [52][4090/5005] Time 0.200 (0.210) Data 0.043 (0.048) Loss 2.3969 (2.2968) Prec@1 42.188 (47.438) Prec@5 68.750 (72.783)
Epoch: [52][4100/5005] Time 0.214 (0.210) Data 0.043 (0.048) Loss 2.2245 (2.2967) Prec@1 47.656 (47.440) Prec@5 73.047 (72.784)
Epoch: [52][4110/5005] Time 0.202 (0.210) Data 0.048 (0.048) Loss 2.4451 (2.2967) Prec@1 44.922 (47.441) Prec@5 70.703 (72.786)
Epoch: [52][4120/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.3756 (2.2966) Prec@1 44.141 (47.442) Prec@5 70.703 (72.787)
Epoch: [52][4130/5005] Time 0.202 (0.210) Data 0.051 (0.048) Loss 2.3270 (2.2965) Prec@1 47.266 (47.443) Prec@5 74.219 (72.789)
Epoch: [52][4140/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.3712 (2.2964) Prec@1 46.484 (47.444) Prec@5 70.312 (72.789)
Epoch: [52][4150/5005] Time 0.203 (0.210) Data 0.042 (0.048) Loss 2.4443 (2.2964) Prec@1 45.312 (47.442) Prec@5 69.922 (72.787)
Epoch: [52][4160/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.2015 (2.2965) Prec@1 48.828 (47.440) Prec@5 73.438 (72.786)
Epoch: [52][4170/5005] Time 0.213 (0.210) Data 0.047 (0.048) Loss 2.3076 (2.2963) Prec@1 46.484 (47.443) Prec@5 73.438 (72.789)
Epoch: [52][4180/5005] Time 0.203 (0.210) Data 0.041 (0.048) Loss 2.2377 (2.2961) Prec@1 50.000 (47.446) Prec@5 74.219 (72.790)
Epoch: [52][4190/5005] Time 0.205 (0.210) Data 0.047 (0.048) Loss 2.1986 (2.2961) Prec@1 44.531 (47.444) Prec@5 75.781 (72.790)
Epoch: [52][4200/5005] Time 0.208 (0.210) Data 0.046 (0.048) Loss 2.1133 (2.2960) Prec@1 52.734 (47.447) Prec@5 73.828 (72.793)
Epoch: [52][4210/5005] Time 0.198 (0.210) Data 0.059 (0.048) Loss 2.1550 (2.2960) Prec@1 46.875 (47.449) Prec@5 75.000 (72.792)
Epoch: [52][4220/5005] Time 0.215 (0.210) Data 0.042 (0.048) Loss 2.4928 (2.2961) Prec@1 46.484 (47.450) Prec@5 69.531 (72.792)
Epoch: [52][4230/5005] Time 0.203 (0.210) Data 0.058 (0.048) Loss 2.2736 (2.2961) Prec@1 48.047 (47.450) Prec@5 75.000 (72.793)
Epoch: [52][4240/5005] Time 0.207 (0.210) Data 0.041 (0.048) Loss 2.1063 (2.2960) Prec@1 51.172 (47.448) Prec@5 78.906 (72.796)
Epoch: [52][4250/5005] Time 0.202 (0.210) Data 0.041 (0.048) Loss 2.1690 (2.2958) Prec@1 48.047 (47.452) Prec@5 74.609 (72.798)
Epoch: [52][4260/5005] Time 0.208 (0.210) Data 0.047 (0.048) Loss 2.2442 (2.2958) Prec@1 45.312 (47.452) Prec@5 75.781 (72.798)
Epoch: [52][4270/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.5266 (2.2959) Prec@1 44.141 (47.453) Prec@5 68.750 (72.796)
Epoch: [52][4280/5005] Time 0.206 (0.210) Data 0.058 (0.048) Loss 2.5005 (2.2959) Prec@1 43.359 (47.454) Prec@5 69.141 (72.794)
Epoch: [52][4290/5005] Time 0.210 (0.210) Data 0.045 (0.048) Loss 2.4191 (2.2959) Prec@1 43.750 (47.450) Prec@5 69.531 (72.794)
Epoch: [52][4300/5005] Time 0.206 (0.210) Data 0.042 (0.048) Loss 2.0388 (2.2957) Prec@1 50.000 (47.454) Prec@5 78.906 (72.798)
Epoch: [52][4310/5005] Time 0.212 (0.210) Data 0.045 (0.048) Loss 2.1110 (2.2956) Prec@1 53.516 (47.456) Prec@5 76.172 (72.800)
Epoch: [52][4320/5005] Time 0.210 (0.210) Data 0.058 (0.048) Loss 2.2899 (2.2955) Prec@1 50.000 (47.460) Prec@5 73.438 (72.802)
Epoch: [52][4330/5005] Time 0.206 (0.210) Data 0.057 (0.048) Loss 2.0881 (2.2954) Prec@1 51.172 (47.465) Prec@5 77.344 (72.804)
Epoch: [52][4340/5005] Time 0.206 (0.210) Data 0.040 (0.048) Loss 2.2517 (2.2955) Prec@1 47.266 (47.463) Prec@5 72.266 (72.802)
Epoch: [52][4350/5005] Time 0.196 (0.210) Data 0.060 (0.048) Loss 2.4100 (2.2954) Prec@1 47.266 (47.464) Prec@5 72.656 (72.804)
Epoch: [52][4360/5005] Time 0.203 (0.210) Data 0.061 (0.048) Loss 2.1205 (2.2953) Prec@1 50.000 (47.463) Prec@5 75.391 (72.806)
Epoch: [52][4370/5005] Time 0.208 (0.210) Data 0.057 (0.048) Loss 2.2995 (2.2954) Prec@1 44.141 (47.464) Prec@5 74.219 (72.805)
Epoch: [52][4380/5005] Time 0.208 (0.210) Data 0.048 (0.048) Loss 2.3144 (2.2953) Prec@1 46.094 (47.463) Prec@5 72.656 (72.805)
Epoch: [52][4390/5005] Time 0.209 (0.210) Data 0.047 (0.048) Loss 2.3570 (2.2952) Prec@1 45.312 (47.469) Prec@5 72.266 (72.805)
Epoch: [52][4400/5005] Time 0.207 (0.210) Data 0.059 (0.048) Loss 2.3189 (2.2952) Prec@1 45.703 (47.470) Prec@5 71.484 (72.806)
Epoch: [52][4410/5005] Time 0.209 (0.210) Data 0.041 (0.048) Loss 2.2060 (2.2951) Prec@1 48.438 (47.470) Prec@5 73.438 (72.808)
Epoch: [52][4420/5005] Time 0.212 (0.210) Data 0.042 (0.048) Loss 1.9861 (2.2950) Prec@1 53.516 (47.470) Prec@5 77.344 (72.809)
Epoch: [52][4430/5005] Time 0.213 (0.210) Data 0.044 (0.048) Loss 2.2484 (2.2948) Prec@1 48.047 (47.475) Prec@5 72.656 (72.810)
Epoch: [52][4440/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.2969 (2.2947) Prec@1 48.438 (47.477) Prec@5 73.047 (72.810)
Epoch: [52][4450/5005] Time 0.211 (0.210) Data 0.042 (0.048) Loss 1.9750 (2.2947) Prec@1 52.734 (47.479) Prec@5 77.344 (72.813)
Epoch: [52][4460/5005] Time 0.195 (0.210) Data 0.044 (0.048) Loss 2.3258 (2.2945) Prec@1 46.484 (47.481) Prec@5 74.219 (72.816)
Epoch: [52][4470/5005] Time 0.206 (0.210) Data 0.055 (0.048) Loss 2.1520 (2.2946) Prec@1 51.562 (47.481) Prec@5 73.047 (72.814)
Epoch: [52][4480/5005] Time 0.210 (0.210) Data 0.051 (0.048) Loss 2.1179 (2.2947) Prec@1 54.297 (47.480) Prec@5 75.391 (72.811)
Epoch: [52][4490/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.2218 (2.2947) Prec@1 46.484 (47.481) Prec@5 75.000 (72.811)
Epoch: [52][4500/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.2307 (2.2947) Prec@1 47.656 (47.481) Prec@5 77.734 (72.814)
Epoch: [52][4510/5005] Time 0.207 (0.210) Data 0.058 (0.048) Loss 2.1255 (2.2947) Prec@1 50.000 (47.481) Prec@5 75.781 (72.816)
Epoch: [52][4520/5005] Time 0.206 (0.210) Data 0.042 (0.048) Loss 2.2581 (2.2945) Prec@1 51.953 (47.483) Prec@5 75.781 (72.817)
Epoch: [52][4530/5005] Time 0.207 (0.210) Data 0.049 (0.048) Loss 2.1481 (2.2943) Prec@1 53.906 (47.488) Prec@5 75.781 (72.820)
Epoch: [52][4540/5005] Time 0.209 (0.210) Data 0.041 (0.048) Loss 2.3600 (2.2945) Prec@1 51.172 (47.486) Prec@5 73.047 (72.818)
Epoch: [52][4550/5005] Time 0.216 (0.210) Data 0.047 (0.048) Loss 2.3546 (2.2944) Prec@1 48.438 (47.488) Prec@5 68.359 (72.818)
Epoch: [52][4560/5005] Time 0.216 (0.210) Data 0.048 (0.048) Loss 2.1469 (2.2944) Prec@1 50.781 (47.490) Prec@5 73.828 (72.817)
Epoch: [52][4570/5005] Time 0.210 (0.210) Data 0.045 (0.048) Loss 2.3847 (2.2942) Prec@1 48.828 (47.493) Prec@5 71.484 (72.819)
Epoch: [52][4580/5005] Time 0.219 (0.210) Data 0.047 (0.048) Loss 2.3930 (2.2942) Prec@1 42.578 (47.495) Prec@5 71.094 (72.821)
Epoch: [52][4590/5005] Time 0.217 (0.210) Data 0.046 (0.048) Loss 2.1664 (2.2942) Prec@1 46.875 (47.495) Prec@5 80.859 (72.821)
Epoch: [52][4600/5005] Time 0.213 (0.210) Data 0.049 (0.048) Loss 2.0490 (2.2942) Prec@1 51.172 (47.497) Prec@5 77.344 (72.821)
Epoch: [52][4610/5005] Time 0.206 (0.210) Data 0.044 (0.048) Loss 2.0568 (2.2942) Prec@1 52.344 (47.502) Prec@5 76.953 (72.821)
Epoch: [52][4620/5005] Time 0.213 (0.210) Data 0.042 (0.048) Loss 2.1114 (2.2941) Prec@1 52.734 (47.502) Prec@5 76.172 (72.823)
Epoch: [52][4630/5005] Time 0.206 (0.210) Data 0.052 (0.048) Loss 2.1187 (2.2939) Prec@1 52.734 (47.506) Prec@5 76.953 (72.826)
Epoch: [52][4640/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.4101 (2.2939) Prec@1 46.484 (47.506) Prec@5 73.047 (72.828)
Epoch: [52][4650/5005] Time 0.208 (0.210) Data 0.048 (0.048) Loss 2.1501 (2.2938) Prec@1 49.219 (47.508) Prec@5 76.562 (72.832)
Epoch: [52][4660/5005] Time 0.209 (0.210) Data 0.041 (0.048) Loss 2.5537 (2.2938) Prec@1 42.188 (47.509) Prec@5 67.578 (72.833)
Epoch: [52][4670/5005] Time 0.203 (0.210) Data 0.044 (0.048) Loss 2.0664 (2.2936) Prec@1 51.562 (47.509) Prec@5 75.000 (72.838)
Epoch: [52][4680/5005] Time 0.208 (0.210) Data 0.047 (0.048) Loss 2.2125 (2.2936) Prec@1 47.656 (47.511) Prec@5 75.000 (72.839)
Epoch: [52][4690/5005] Time 0.205 (0.210) Data 0.050 (0.048) Loss 2.3340 (2.2936) Prec@1 43.359 (47.507) Prec@5 74.219 (72.839)
Epoch: [52][4700/5005] Time 0.194 (0.210) Data 0.044 (0.048) Loss 2.1164 (2.2934) Prec@1 54.297 (47.513) Prec@5 75.000 (72.842)
Epoch: [52][4710/5005] Time 0.218 (0.210) Data 0.044 (0.048) Loss 2.1457 (2.2932) Prec@1 54.688 (47.518) Prec@5 78.516 (72.848)
Epoch: [52][4720/5005] Time 0.209 (0.210) Data 0.044 (0.048) Loss 2.2083 (2.2931) Prec@1 50.391 (47.519) Prec@5 75.000 (72.849)
Epoch: [52][4730/5005] Time 0.215 (0.210) Data 0.048 (0.048) Loss 2.1470 (2.2932) Prec@1 52.734 (47.519) Prec@5 75.781 (72.847)
Epoch: [52][4740/5005] Time 0.210 (0.210) Data 0.041 (0.048) Loss 2.2584 (2.2931) Prec@1 45.312 (47.522) Prec@5 75.000 (72.850)
Epoch: [52][4750/5005] Time 0.206 (0.210) Data 0.047 (0.048) Loss 2.2446 (2.2931) Prec@1 48.438 (47.520) Prec@5 74.609 (72.850)
Epoch: [52][4760/5005] Time 0.213 (0.210) Data 0.042 (0.048) Loss 2.5719 (2.2930) Prec@1 46.094 (47.521) Prec@5 71.094 (72.850)
Epoch: [52][4770/5005] Time 0.203 (0.210) Data 0.064 (0.048) Loss 2.1550 (2.2929) Prec@1 48.828 (47.524) Prec@5 73.828 (72.851)
Epoch: [52][4780/5005] Time 0.205 (0.210) Data 0.053 (0.048) Loss 2.2756 (2.2929) Prec@1 48.438 (47.522) Prec@5 73.438 (72.850)
Epoch: [52][4790/5005] Time 0.215 (0.210) Data 0.046 (0.048) Loss 2.4917 (2.2929) Prec@1 42.188 (47.525) Prec@5 69.922 (72.849)
Epoch: [52][4800/5005] Time 0.198 (0.210) Data 0.049 (0.048) Loss 2.4337 (2.2929) Prec@1 44.531 (47.525) Prec@5 71.875 (72.848)
Epoch: [52][4810/5005] Time 0.191 (0.210) Data 0.063 (0.048) Loss 2.4041 (2.2929) Prec@1 47.266 (47.524) Prec@5 72.656 (72.847)
Epoch: [52][4820/5005] Time 0.200 (0.210) Data 0.042 (0.048) Loss 2.4781 (2.2927) Prec@1 43.750 (47.529) Prec@5 67.578 (72.850)
Epoch: [52][4830/5005] Time 0.206 (0.210) Data 0.063 (0.048) Loss 2.2224 (2.2925) Prec@1 50.000 (47.533) Prec@5 74.219 (72.853)
Epoch: [52][4840/5005] Time 0.205 (0.210) Data 0.064 (0.048) Loss 2.1666 (2.2925) Prec@1 50.000 (47.534) Prec@5 72.656 (72.851)
Epoch: [52][4850/5005] Time 0.211 (0.210) Data 0.046 (0.048) Loss 2.4005 (2.2926) Prec@1 44.141 (47.535) Prec@5 72.656 (72.851)
Epoch: [52][4860/5005] Time 0.206 (0.210) Data 0.058 (0.048) Loss 2.2551 (2.2925) Prec@1 46.875 (47.537) Prec@5 73.047 (72.853)
Epoch: [52][4870/5005] Time 0.215 (0.210) Data 0.046 (0.048) Loss 2.1636 (2.2925) Prec@1 50.000 (47.537) Prec@5 71.484 (72.851)
Epoch: [52][4880/5005] Time 0.213 (0.210) Data 0.042 (0.048) Loss 2.1210 (2.2925) Prec@1 51.953 (47.539) Prec@5 73.828 (72.851)
Epoch: [52][4890/5005] Time 0.217 (0.210) Data 0.043 (0.048) Loss 2.3887 (2.2924) Prec@1 47.266 (47.541) Prec@5 69.922 (72.853)
Epoch: [52][4900/5005] Time 0.207 (0.210) Data 0.048 (0.048) Loss 2.1039 (2.2923) Prec@1 52.734 (47.543) Prec@5 74.219 (72.852)
Epoch: [52][4910/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.3726 (2.2921) Prec@1 46.094 (47.547) Prec@5 73.438 (72.855)
Epoch: [52][4920/5005] Time 0.207 (0.210) Data 0.045 (0.048) Loss 2.2496 (2.2920) Prec@1 46.094 (47.547) Prec@5 72.656 (72.856)
Epoch: [52][4930/5005] Time 0.199 (0.210) Data 0.047 (0.048) Loss 2.3996 (2.2918) Prec@1 49.219 (47.550) Prec@5 70.312 (72.859)
Epoch: [52][4940/5005] Time 0.208 (0.210) Data 0.057 (0.048) Loss 2.3512 (2.2919) Prec@1 48.047 (47.552) Prec@5 69.922 (72.858)
Epoch: [52][4950/5005] Time 0.210 (0.210) Data 0.054 (0.048) Loss 2.0809 (2.2919) Prec@1 50.391 (47.551) Prec@5 76.953 (72.858)
Epoch: [52][4960/5005] Time 0.207 (0.210) Data 0.048 (0.048) Loss 2.2598 (2.2919) Prec@1 52.734 (47.555) Prec@5 74.609 (72.858)
Epoch: [52][4970/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.4627 (2.2918) Prec@1 46.094 (47.555) Prec@5 69.922 (72.860)
Epoch: [52][4980/5005] Time 0.212 (0.210) Data 0.045 (0.048) Loss 2.2471 (2.2917) Prec@1 46.875 (47.556) Prec@5 73.438 (72.862)
Epoch: [52][4990/5005] Time 0.199 (0.210) Data 0.031 (0.048) Loss 2.4014 (2.2916) Prec@1 45.312 (47.558) Prec@5 71.094 (72.864)
Epoch: [52][5000/5005] Time 0.208 (0.210) Data 0.022 (0.048) Loss 2.3731 (2.2915) Prec@1 45.312 (47.557) Prec@5 71.484 (72.865)
Test: [0/196] Time 1.957 (1.957) Loss 2.4351 (2.4351) Prec@1 48.438 (48.438) Prec@5 72.266 (72.266)
Test: [10/196] Time 0.052 (0.280) Loss 2.4745 (2.5520) Prec@1 45.703 (43.928) Prec@5 72.266 (69.673)
Test: [20/196] Time 0.044 (0.234) Loss 2.4464 (2.5568) Prec@1 46.484 (44.048) Prec@5 73.047 (69.736)
Test: [30/196] Time 0.236 (0.212) Loss 2.4571 (2.5605) Prec@1 44.531 (43.876) Prec@5 69.141 (69.619)
Test: [40/196] Time 0.140 (0.195) Loss 2.2901 (2.5550) Prec@1 51.562 (44.207) Prec@5 75.391 (69.674)
Test: [50/196] Time 0.047 (0.218) Loss 2.6599 (2.5578) Prec@1 42.578 (44.179) Prec@5 69.531 (69.776)
Test: [60/196] Time 0.482 (0.197) Loss 2.5105 (2.5477) Prec@1 46.875 (44.365) Prec@5 69.141 (69.794)
Test: [70/196] Time 0.053 (0.192) Loss 2.5287 (2.5425) Prec@1 43.750 (44.372) Prec@5 68.750 (69.746)
Test: [80/196] Time 0.042 (0.187) Loss 2.4281 (2.5503) Prec@1 50.781 (44.208) Prec@5 75.391 (69.666)
Test: [90/196] Time 0.044 (0.188) Loss 2.6737 (2.5554) Prec@1 45.312 (44.209) Prec@5 67.188 (69.553)
Test: [100/196] Time 0.044 (0.188) Loss 2.5934 (2.5519) Prec@1 44.531 (44.485) Prec@5 68.750 (69.647)
Test: [110/196] Time 0.046 (0.188) Loss 2.7436 (2.5529) Prec@1 40.625 (44.531) Prec@5 64.453 (69.661)
Test: [120/196] Time 0.048 (0.188) Loss 2.4272 (2.5493) Prec@1 44.141 (44.660) Prec@5 72.266 (69.699)
Test: [130/196] Time 0.044 (0.184) Loss 2.2271 (2.5456) Prec@1 48.438 (44.758) Prec@5 73.438 (69.770)
Test: [140/196] Time 0.041 (0.183) Loss 2.3584 (2.5485) Prec@1 48.047 (44.703) Prec@5 71.094 (69.656)
Test: [150/196] Time 0.044 (0.179) Loss 2.2227 (2.5481) Prec@1 47.656 (44.632) Prec@5 76.172 (69.694)
Test: [160/196] Time 0.044 (0.180) Loss 2.5238 (2.5470) Prec@1 48.438 (44.626) Prec@5 69.922 (69.718)
Test: [170/196] Time 0.738 (0.182) Loss 2.4227 (2.5497) Prec@1 46.094 (44.572) Prec@5 71.875 (69.666)
Test: [180/196] Time 0.044 (0.181) Loss 2.7508 (2.5540) Prec@1 41.797 (44.484) Prec@5 66.406 (69.559)
Test: [190/196] Time 0.099 (0.179) Loss 2.7431 (2.5577) Prec@1 42.578 (44.433) Prec@5 65.234 (69.409)
* Prec@1 44.452 Prec@5 69.424
Learning rate: 1e-05
Epoch: [53][0/5005] Time 0.898 (0.898) Data 0.778 (0.778) Loss 2.3250 (2.3250) Prec@1 48.438 (48.438) Prec@5 73.828 (73.828)
Epoch: [53][10/5005] Time 0.199 (0.288) Data 0.050 (0.144) Loss 2.1640 (2.2941) Prec@1 53.125 (47.479) Prec@5 72.266 (73.366)
Epoch: [53][20/5005] Time 0.208 (0.248) Data 0.045 (0.097) Loss 2.5229 (2.3060) Prec@1 39.453 (46.894) Prec@5 69.141 (73.103)
Epoch: [53][30/5005] Time 0.194 (0.233) Data 0.065 (0.082) Loss 2.2503 (2.2843) Prec@1 51.172 (47.228) Prec@5 72.266 (73.248)
Epoch: [53][40/5005] Time 0.198 (0.226) Data 0.059 (0.073) Loss 2.1296 (2.2937) Prec@1 49.219 (47.066) Prec@5 74.219 (73.152)
Epoch: [53][50/5005] Time 0.205 (0.222) Data 0.042 (0.068) Loss 2.0191 (2.2856) Prec@1 50.781 (47.273) Prec@5 80.859 (73.307)
Epoch: [53][60/5005] Time 0.203 (0.219) Data 0.047 (0.064) Loss 2.2843 (2.2872) Prec@1 47.266 (47.163) Prec@5 72.656 (73.412)
Epoch: [53][70/5005] Time 0.207 (0.217) Data 0.041 (0.062) Loss 2.2796 (2.2987) Prec@1 48.438 (47.090) Prec@5 72.266 (73.025)
Epoch: [53][80/5005] Time 0.195 (0.215) Data 0.045 (0.060) Loss 2.1974 (2.2975) Prec@1 48.047 (47.179) Prec@5 78.125 (73.076)
Epoch: [53][90/5005] Time 0.205 (0.214) Data 0.043 (0.058) Loss 2.2839 (2.3005) Prec@1 47.266 (47.171) Prec@5 73.828 (72.931)
Epoch: [53][100/5005] Time 0.208 (0.212) Data 0.052 (0.057) Loss 2.0581 (2.2993) Prec@1 51.172 (47.196) Prec@5 78.125 (72.935)
Epoch: [53][110/5005] Time 0.195 (0.211) Data 0.046 (0.057) Loss 2.3194 (2.3036) Prec@1 50.000 (47.252) Prec@5 73.047 (72.853)
Epoch: [53][120/5005] Time 0.195 (0.210) Data 0.049 (0.057) Loss 2.3363 (2.3038) Prec@1 44.922 (47.298) Prec@5 71.875 (72.792)
Epoch: [53][130/5005] Time 0.193 (0.209) Data 0.044 (0.056) Loss 2.4856 (2.3046) Prec@1 46.875 (47.257) Prec@5 67.969 (72.737)
Epoch: [53][140/5005] Time 0.195 (0.209) Data 0.045 (0.055) Loss 2.3279 (2.3035) Prec@1 46.484 (47.241) Prec@5 71.484 (72.762)
Epoch: [53][150/5005] Time 0.203 (0.208) Data 0.051 (0.055) Loss 2.3945 (2.3052) Prec@1 43.359 (47.281) Prec@5 69.531 (72.760)
Epoch: [53][160/5005] Time 0.216 (0.208) Data 0.048 (0.055) Loss 2.2268 (2.3076) Prec@1 48.438 (47.300) Prec@5 70.703 (72.714)
Epoch: [53][170/5005] Time 0.217 (0.209) Data 0.043 (0.054) Loss 2.4358 (2.3105) Prec@1 46.875 (47.282) Prec@5 72.266 (72.654)
Epoch: [53][180/5005] Time 0.227 (0.210) Data 0.047 (0.054) Loss 2.4941 (2.3107) Prec@1 46.094 (47.300) Prec@5 67.188 (72.665)
Epoch: [53][190/5005] Time 0.221 (0.210) Data 0.049 (0.054) Loss 2.4698 (2.3144) Prec@1 45.703 (47.223) Prec@5 69.922 (72.609)
Epoch: [53][200/5005] Time 0.219 (0.211) Data 0.051 (0.054) Loss 2.4736 (2.3157) Prec@1 41.797 (47.163) Prec@5 71.875 (72.561)
Epoch: [53][210/5005] Time 0.227 (0.211) Data 0.050 (0.053) Loss 2.1153 (2.3150) Prec@1 50.000 (47.142) Prec@5 76.562 (72.577)
Epoch: [53][220/5005] Time 0.223 (0.212) Data 0.053 (0.053) Loss 2.4214 (2.3149) Prec@1 41.797 (47.105) Prec@5 72.266 (72.578)
Epoch: [53][230/5005] Time 0.204 (0.212) Data 0.051 (0.053) Loss 2.3764 (2.3152) Prec@1 46.875 (47.130) Prec@5 71.094 (72.562)
Epoch: [53][240/5005] Time 0.218 (0.212) Data 0.066 (0.053) Loss 2.1235 (2.3155) Prec@1 51.562 (47.086) Prec@5 74.609 (72.531)
Epoch: [53][250/5005] Time 0.216 (0.212) Data 0.057 (0.053) Loss 2.4751 (2.3148) Prec@1 41.797 (47.091) Prec@5 70.703 (72.566)
Epoch: [53][260/5005] Time 0.220 (0.212) Data 0.049 (0.053) Loss 2.2074 (2.3144) Prec@1 46.094 (47.132) Prec@5 71.875 (72.568)
Epoch: [53][270/5005] Time 0.207 (0.212) Data 0.045 (0.053) Loss 2.3340 (2.3139) Prec@1 47.656 (47.101) Prec@5 73.828 (72.591)
Epoch: [53][280/5005] Time 0.215 (0.212) Data 0.044 (0.053) Loss 2.6570 (2.3164) Prec@1 43.750 (47.077) Prec@5 65.625 (72.544)
Epoch: [53][290/5005] Time 0.216 (0.212) Data 0.058 (0.053) Loss 2.3082 (2.3176) Prec@1 46.094 (47.024) Prec@5 71.094 (72.527)
Epoch: [53][300/5005] Time 0.203 (0.212) Data 0.052 (0.053) Loss 2.1689 (2.3169) Prec@1 50.000 (47.018) Prec@5 74.609 (72.510)
Epoch: [53][310/5005] Time 0.212 (0.212) Data 0.059 (0.053) Loss 2.1695 (2.3152) Prec@1 51.562 (47.058) Prec@5 75.391 (72.529)
Epoch: [53][320/5005] Time 0.212 (0.212) Data 0.046 (0.053) Loss 2.4019 (2.3156) Prec@1 43.359 (47.064) Prec@5 71.875 (72.522)
Epoch: [53][330/5005] Time 0.208 (0.212) Data 0.050 (0.053) Loss 2.1496 (2.3150) Prec@1 50.781 (47.082) Prec@5 73.828 (72.510)
Epoch: [53][340/5005] Time 0.218 (0.213) Data 0.043 (0.052) Loss 2.3151 (2.3188) Prec@1 50.000 (47.027) Prec@5 75.391 (72.471)
Epoch: [53][350/5005] Time 0.212 (0.213) Data 0.041 (0.052) Loss 2.4521 (2.3190) Prec@1 44.922 (47.021) Prec@5 71.094 (72.446)
Epoch: [53][360/5005] Time 0.213 (0.213) Data 0.047 (0.052) Loss 2.3244 (2.3199) Prec@1 46.094 (47.006) Prec@5 70.312 (72.420)
Epoch: [53][370/5005] Time 0.216 (0.213) Data 0.047 (0.052) Loss 2.3280 (2.3183) Prec@1 44.922 (47.011) Prec@5 71.484 (72.465)
Epoch: [53][380/5005] Time 0.219 (0.213) Data 0.042 (0.052) Loss 2.5136 (2.3189) Prec@1 44.141 (46.981) Prec@5 67.188 (72.471)
Epoch: [53][390/5005] Time 0.217 (0.213) Data 0.043 (0.052) Loss 2.3233 (2.3188) Prec@1 47.266 (46.977) Prec@5 75.000 (72.475)
Epoch: [53][400/5005] Time 0.212 (0.213) Data 0.042 (0.052) Loss 2.2587 (2.3174) Prec@1 48.047 (46.999) Prec@5 72.266 (72.489)
Epoch: [53][410/5005] Time 0.208 (0.213) Data 0.050 (0.051) Loss 2.2010 (2.3168) Prec@1 46.484 (47.015) Prec@5 75.391 (72.513)
Epoch: [53][420/5005] Time 0.217 (0.213) Data 0.046 (0.051) Loss 2.2377 (2.3165) Prec@1 51.172 (47.018) Prec@5 74.219 (72.535)
Epoch: [53][430/5005] Time 0.211 (0.213) Data 0.044 (0.051) Loss 2.2138 (2.3163) Prec@1 51.172 (47.044) Prec@5 74.219 (72.539)
Epoch: [53][440/5005] Time 0.206 (0.213) Data 0.049 (0.051) Loss 2.2647 (2.3151) Prec@1 48.828 (47.057) Prec@5 75.000 (72.572)
Epoch: [53][450/5005] Time 0.210 (0.213) Data 0.046 (0.051) Loss 2.0844 (2.3157) Prec@1 52.344 (47.048) Prec@5 75.000 (72.551)
Epoch: [53][460/5005] Time 0.216 (0.213) Data 0.044 (0.051) Loss 2.4086 (2.3161) Prec@1 44.141 (47.044) Prec@5 70.312 (72.558)
Epoch: [53][470/5005] Time 0.216 (0.213) Data 0.046 (0.051) Loss 2.2586 (2.3171) Prec@1 44.922 (47.035) Prec@5 74.609 (72.550)
Epoch: [53][480/5005] Time 0.208 (0.213) Data 0.044 (0.051) Loss 2.3040 (2.3170) Prec@1 48.828 (47.043) Prec@5 71.094 (72.543)
Epoch: [53][490/5005] Time 0.212 (0.213) Data 0.044 (0.051) Loss 2.2083 (2.3170) Prec@1 53.906 (47.048) Prec@5 73.047 (72.529)
Epoch: [53][500/5005] Time 0.210 (0.213) Data 0.042 (0.051) Loss 2.3318 (2.3176) Prec@1 48.438 (47.047) Prec@5 70.703 (72.521)
Epoch: [53][510/5005] Time 0.210 (0.213) Data 0.041 (0.051) Loss 2.5391 (2.3179) Prec@1 42.969 (47.057) Prec@5 69.531 (72.516)
Epoch: [53][520/5005] Time 0.206 (0.213) Data 0.056 (0.051) Loss 2.3810 (2.3172) Prec@1 46.094 (47.055) Prec@5 69.922 (72.529)
Epoch: [53][530/5005] Time 0.219 (0.213) Data 0.045 (0.051) Loss 2.3039 (2.3173) Prec@1 45.703 (47.059) Prec@5 69.531 (72.530)
Epoch: [53][540/5005] Time 0.213 (0.213) Data 0.047 (0.051) Loss 2.4144 (2.3179) Prec@1 43.359 (47.040) Prec@5 68.750 (72.507)
Epoch: [53][550/5005] Time 0.212 (0.213) Data 0.040 (0.050) Loss 2.2156 (2.3174) Prec@1 48.047 (47.047) Prec@5 74.609 (72.500)
Epoch: [53][560/5005] Time 0.212 (0.213) Data 0.038 (0.050) Loss 2.3147 (2.3176) Prec@1 47.266 (47.048) Prec@5 73.047 (72.500)
Epoch: [53][570/5005] Time 0.217 (0.213) Data 0.042 (0.050) Loss 2.3334 (2.3182) Prec@1 48.828 (47.042) Prec@5 70.312 (72.478)
Epoch: [53][580/5005] Time 0.215 (0.213) Data 0.043 (0.050) Loss 2.3962 (2.3181) Prec@1 47.656 (47.049) Prec@5 70.703 (72.486)
Epoch: [53][590/5005] Time 0.216 (0.213) Data 0.046 (0.050) Loss 2.3828 (2.3182) Prec@1 45.703 (47.057) Prec@5 71.094 (72.463)
Epoch: [53][600/5005] Time 0.216 (0.213) Data 0.056 (0.050) Loss 2.2004 (2.3188) Prec@1 54.297 (47.064) Prec@5 73.438 (72.441)
Epoch: [53][610/5005] Time 0.209 (0.213) Data 0.050 (0.050) Loss 2.2167 (2.3187) Prec@1 49.219 (47.066) Prec@5 71.875 (72.455)
Epoch: [53][620/5005] Time 0.211 (0.213) Data 0.043 (0.050) Loss 2.2502 (2.3184) Prec@1 51.953 (47.086) Prec@5 73.438 (72.464)
Epoch: [53][630/5005] Time 0.208 (0.213) Data 0.042 (0.050) Loss 2.4461 (2.3177) Prec@1 45.703 (47.098) Prec@5 72.266 (72.484)
Epoch: [53][640/5005] Time 0.217 (0.213) Data 0.042 (0.050) Loss 2.3041 (2.3182) Prec@1 43.750 (47.069) Prec@5 72.656 (72.476)
Epoch: [53][650/5005] Time 0.226 (0.213) Data 0.042 (0.050) Loss 2.4846 (2.3192) Prec@1 42.969 (47.053) Prec@5 72.656 (72.470)
Epoch: [53][660/5005] Time 0.209 (0.213) Data 0.051 (0.050) Loss 2.5050 (2.3184) Prec@1 41.797 (47.065) Prec@5 70.312 (72.487)
Epoch: [53][670/5005] Time 0.218 (0.213) Data 0.046 (0.050) Loss 2.6610 (2.3186) Prec@1 42.188 (47.062) Prec@5 67.188 (72.477)
Epoch: [53][680/5005] Time 0.231 (0.213) Data 0.047 (0.050) Loss 2.3241 (2.3185) Prec@1 45.312 (47.073) Prec@5 75.781 (72.481)
Epoch: [53][690/5005] Time 0.206 (0.213) Data 0.059 (0.050) Loss 2.2582 (2.3176) Prec@1 46.094 (47.086) Prec@5 72.656 (72.496)
Epoch: [53][700/5005] Time 0.221 (0.213) Data 0.043 (0.050) Loss 2.4011 (2.3176) Prec@1 46.875 (47.078) Prec@5 71.875 (72.491)
Epoch: [53][710/5005] Time 0.208 (0.213) Data 0.046 (0.050) Loss 2.1679 (2.3175) Prec@1 51.172 (47.082) Prec@5 75.391 (72.497)
Epoch: [53][720/5005] Time 0.218 (0.213) Data 0.046 (0.050) Loss 2.1259 (2.3166) Prec@1 49.609 (47.097) Prec@5 76.953 (72.520)
Epoch: [53][730/5005] Time 0.213 (0.213) Data 0.048 (0.050) Loss 2.4889 (2.3172) Prec@1 46.094 (47.083) Prec@5 73.828 (72.514)
Epoch: [53][740/5005] Time 0.203 (0.213) Data 0.053 (0.050) Loss 2.4784 (2.3174) Prec@1 42.969 (47.084) Prec@5 70.312 (72.510)
Epoch: [53][750/5005] Time 0.203 (0.213) Data 0.053 (0.050) Loss 2.0865 (2.3174) Prec@1 51.562 (47.078) Prec@5 75.391 (72.515)
Epoch: [53][760/5005] Time 0.211 (0.213) Data 0.047 (0.050) Loss 2.3968 (2.3174) Prec@1 46.484 (47.078) Prec@5 71.484 (72.509)
Epoch: [53][770/5005] Time 0.217 (0.213) Data 0.045 (0.050) Loss 2.3351 (2.3165) Prec@1 46.484 (47.084) Prec@5 73.438 (72.532)
Epoch: [53][780/5005] Time 0.214 (0.213) Data 0.043 (0.050) Loss 2.4351 (2.3159) Prec@1 44.922 (47.097) Prec@5 71.094 (72.538)
Epoch: [53][790/5005] Time 0.217 (0.213) Data 0.043 (0.050) Loss 2.2569 (2.3157) Prec@1 46.094 (47.104) Prec@5 73.047 (72.538)
Epoch: [53][800/5005] Time 0.208 (0.213) Data 0.043 (0.050) Loss 2.1621 (2.3151) Prec@1 49.609 (47.118) Prec@5 75.000 (72.547)
Epoch: [53][810/5005] Time 0.200 (0.213) Data 0.059 (0.050) Loss 2.4446 (2.3152) Prec@1 46.484 (47.135) Prec@5 72.656 (72.547)
Epoch: [53][820/5005] Time 0.207 (0.213) Data 0.043 (0.049) Loss 2.3777 (2.3154) Prec@1 42.969 (47.126) Prec@5 70.703 (72.545)
Epoch: [53][830/5005] Time 0.218 (0.213) Data 0.046 (0.049) Loss 2.2095 (2.3150) Prec@1 49.609 (47.126) Prec@5 75.781 (72.548)
Epoch: [53][840/5005] Time 0.202 (0.212) Data 0.047 (0.049) Loss 2.1749 (2.3149) Prec@1 51.953 (47.141) Prec@5 75.391 (72.548)
Epoch: [53][850/5005] Time 0.214 (0.212) Data 0.045 (0.049) Loss 2.4317 (2.3148) Prec@1 46.484 (47.147) Prec@5 73.438 (72.552)
Epoch: [53][860/5005] Time 0.213 (0.212) Data 0.045 (0.049) Loss 2.3825 (2.3152) Prec@1 42.188 (47.141) Prec@5 71.875 (72.551)
Epoch: [53][870/5005] Time 0.212 (0.212) Data 0.040 (0.049) Loss 2.3082 (2.3144) Prec@1 44.922 (47.163) Prec@5 72.656 (72.564)
Epoch: [53][880/5005] Time 0.209 (0.212) Data 0.047 (0.049) Loss 2.2961 (2.3150) Prec@1 43.359 (47.151) Prec@5 73.438 (72.560)
Epoch: [53][890/5005] Time 0.205 (0.212) Data 0.050 (0.049) Loss 2.5966 (2.3147) Prec@1 43.359 (47.160) Prec@5 66.797 (72.564)
Epoch: [53][900/5005] Time 0.213 (0.212) Data 0.049 (0.049) Loss 2.3030 (2.3145) Prec@1 47.266 (47.150) Prec@5 72.266 (72.565)
Epoch: [53][910/5005] Time 0.213 (0.212) Data 0.048 (0.049) Loss 2.2331 (2.3144) Prec@1 48.047 (47.150) Prec@5 72.656 (72.563)
Epoch: [53][920/5005] Time 0.223 (0.212) Data 0.056 (0.049) Loss 2.3976 (2.3141) Prec@1 47.266 (47.161) Prec@5 71.094 (72.570)
Epoch: [53][930/5005] Time 0.207 (0.212) Data 0.055 (0.049) Loss 2.3099 (2.3137) Prec@1 50.000 (47.170) Prec@5 71.875 (72.576)
Epoch: [53][940/5005] Time 0.205 (0.212) Data 0.041 (0.049) Loss 2.1863 (2.3139) Prec@1 45.703 (47.168) Prec@5 75.781 (72.569)
Epoch: [53][950/5005] Time 0.217 (0.212) Data 0.046 (0.049) Loss 2.5258 (2.3146) Prec@1 45.312 (47.154) Prec@5 70.312 (72.557)
Epoch: [53][960/5005] Time 0.215 (0.212) Data 0.046 (0.049) Loss 2.5625 (2.3147) Prec@1 44.922 (47.152) Prec@5 67.969 (72.552)
Epoch: [53][970/5005] Time 0.213 (0.212) Data 0.046 (0.049) Loss 2.0963 (2.3145) Prec@1 49.609 (47.157) Prec@5 75.781 (72.551)
Epoch: [53][980/5005] Time 0.212 (0.212) Data 0.065 (0.049) Loss 2.3375 (2.3134) Prec@1 45.312 (47.170) Prec@5 71.875 (72.571)
Epoch: [53][990/5005] Time 0.215 (0.212) Data 0.058 (0.049) Loss 2.4963 (2.3139) Prec@1 42.188 (47.143) Prec@5 71.484 (72.558)
Epoch: [53][1000/5005] Time 0.207 (0.212) Data 0.043 (0.049) Loss 2.2814 (2.3138) Prec@1 50.391 (47.143) Prec@5 75.781 (72.562)
Epoch: [53][1010/5005] Time 0.211 (0.212) Data 0.048 (0.049) Loss 2.3858 (2.3135) Prec@1 44.922 (47.140) Prec@5 70.703 (72.570)
Epoch: [53][1020/5005] Time 1.340 (0.213) Data 0.038 (0.049) Loss 2.1623 (2.3139) Prec@1 51.562 (47.134) Prec@5 76.953 (72.560)
Epoch: [53][1030/5005] Time 0.190 (0.213) Data 0.045 (0.049) Loss 2.2219 (2.3135) Prec@1 47.266 (47.144) Prec@5 73.047 (72.569)
Epoch: [53][1040/5005] Time 0.202 (0.213) Data 0.042 (0.049) Loss 2.4199 (2.3134) Prec@1 44.141 (47.148) Prec@5 73.438 (72.574)
Epoch: [53][1050/5005] Time 0.210 (0.213) Data 0.044 (0.049) Loss 2.2758 (2.3135) Prec@1 47.656 (47.135) Prec@5 71.094 (72.566)
Epoch: [53][1060/5005] Time 0.215 (0.213) Data 0.044 (0.049) Loss 2.4780 (2.3135) Prec@1 45.312 (47.144) Prec@5 69.922 (72.570)
Epoch: [53][1070/5005] Time 0.213 (0.213) Data 0.043 (0.049) Loss 2.2997 (2.3136) Prec@1 45.312 (47.147) Prec@5 71.875 (72.569)
Epoch: [53][1080/5005] Time 0.210 (0.213) Data 0.044 (0.049) Loss 2.2127 (2.3136) Prec@1 50.391 (47.146) Prec@5 72.656 (72.573)
Epoch: [53][1090/5005] Time 0.211 (0.213) Data 0.044 (0.049) Loss 2.1947 (2.3131) Prec@1 47.266 (47.146) Prec@5 77.344 (72.580)
Epoch: [53][1100/5005] Time 0.220 (0.213) Data 0.042 (0.049) Loss 2.1541 (2.3125) Prec@1 49.609 (47.150) Prec@5 75.391 (72.590)
Epoch: [53][1110/5005] Time 0.204 (0.213) Data 0.042 (0.049) Loss 2.2941 (2.3125) Prec@1 46.484 (47.149) Prec@5 72.266 (72.587)
Epoch: [53][1120/5005] Time 0.208 (0.213) Data 0.049 (0.049) Loss 2.3131 (2.3119) Prec@1 44.922 (47.155) Prec@5 71.094 (72.601)
Epoch: [53][1130/5005] Time 0.209 (0.213) Data 0.049 (0.049) Loss 2.4542 (2.3123) Prec@1 44.531 (47.152) Prec@5 70.703 (72.594)
Epoch: [53][1140/5005] Time 0.215 (0.213) Data 0.043 (0.049) Loss 2.3601 (2.3121) Prec@1 44.922 (47.150) Prec@5 70.703 (72.592)
Epoch: [53][1150/5005] Time 0.217 (0.213) Data 0.044 (0.049) Loss 2.3351 (2.3116) Prec@1 43.359 (47.158) Prec@5 72.656 (72.602)
Epoch: [53][1160/5005] Time 0.219 (0.213) Data 0.044 (0.049) Loss 2.3258 (2.3115) Prec@1 48.828 (47.165) Prec@5 73.438 (72.596)
Epoch: [53][1170/5005] Time 0.215 (0.213) Data 0.044 (0.049) Loss 2.2430 (2.3114) Prec@1 50.000 (47.171) Prec@5 72.656 (72.591)
Epoch: [53][1180/5005] Time 0.202 (0.213) Data 0.046 (0.049) Loss 2.2803 (2.3112) Prec@1 48.438 (47.169) Prec@5 71.094 (72.590)
Epoch: [53][1190/5005] Time 0.219 (0.213) Data 0.044 (0.049) Loss 1.9953 (2.3104) Prec@1 51.562 (47.182) Prec@5 78.125 (72.613)
Epoch: [53][1200/5005] Time 0.218 (0.213) Data 0.046 (0.049) Loss 2.4173 (2.3106) Prec@1 44.141 (47.179) Prec@5 69.531 (72.611)
Epoch: [53][1210/5005] Time 0.210 (0.213) Data 0.053 (0.049) Loss 2.3335 (2.3108) Prec@1 44.141 (47.178) Prec@5 74.609 (72.610)
Epoch: [53][1220/5005] Time 0.212 (0.213) Data 0.047 (0.049) Loss 2.3747 (2.3111) Prec@1 39.062 (47.169) Prec@5 71.094 (72.605)
Epoch: [53][1230/5005] Time 0.206 (0.213) Data 0.050 (0.049) Loss 2.3351 (2.3109) Prec@1 47.656 (47.171) Prec@5 71.094 (72.612)
Epoch: [53][1240/5005] Time 0.212 (0.213) Data 0.052 (0.049) Loss 2.3487 (2.3113) Prec@1 48.438 (47.168) Prec@5 72.656 (72.603)
Epoch: [53][1250/5005] Time 0.202 (0.213) Data 0.057 (0.049) Loss 2.6297 (2.3115) Prec@1 42.969 (47.165) Prec@5 64.844 (72.589)
Epoch: [53][1260/5005] Time 0.217 (0.213) Data 0.042 (0.049) Loss 2.0322 (2.3109) Prec@1 51.953 (47.173) Prec@5 77.734 (72.604)
Epoch: [53][1270/5005] Time 0.217 (0.213) Data 0.047 (0.049) Loss 2.2907 (2.3113) Prec@1 46.094 (47.165) Prec@5 73.438 (72.593)
Epoch: [53][1280/5005] Time 0.204 (0.213) Data 0.043 (0.049) Loss 2.2352 (2.3117) Prec@1 46.875 (47.150) Prec@5 75.000 (72.587)
Epoch: [53][1290/5005] Time 0.214 (0.213) Data 0.047 (0.049) Loss 2.0473 (2.3112) Prec@1 52.344 (47.166) Prec@5 74.219 (72.596)
Epoch: [53][1300/5005] Time 0.217 (0.213) Data 0.047 (0.049) Loss 2.1931 (2.3109) Prec@1 52.344 (47.175) Prec@5 73.828 (72.600)
Epoch: [53][1310/5005] Time 0.212 (0.213) Data 0.042 (0.049) Loss 2.2478 (2.3107) Prec@1 49.609 (47.180) Prec@5 74.609 (72.609)
Epoch: [53][1320/5005] Time 0.213 (0.213) Data 0.046 (0.049) Loss 2.5109 (2.3108) Prec@1 45.703 (47.187) Prec@5 71.875 (72.609)
Epoch: [53][1330/5005] Time 0.208 (0.213) Data 0.044 (0.049) Loss 2.4054 (2.3109) Prec@1 46.094 (47.180) Prec@5 72.656 (72.607)
Epoch: [53][1340/5005] Time 0.216 (0.213) Data 0.042 (0.049) Loss 2.2626 (2.3108) Prec@1 47.656 (47.179) Prec@5 71.484 (72.606)
Epoch: [53][1350/5005] Time 0.221 (0.213) Data 0.043 (0.049) Loss 2.5610 (2.3111) Prec@1 44.922 (47.171) Prec@5 70.703 (72.602)
Epoch: [53][1360/5005] Time 0.213 (0.212) Data 0.046 (0.049) Loss 2.1268 (2.3106) Prec@1 50.781 (47.184) Prec@5 73.438 (72.599)
Epoch: [53][1370/5005] Time 0.215 (0.212) Data 0.052 (0.049) Loss 2.4457 (2.3104) Prec@1 44.922 (47.187) Prec@5 69.141 (72.604)
Epoch: [53][1380/5005] Time 0.214 (0.212) Data 0.045 (0.049) Loss 2.2508 (2.3101) Prec@1 50.000 (47.189) Prec@5 75.781 (72.611)
Epoch: [53][1390/5005] Time 0.218 (0.212) Data 0.044 (0.048) Loss 2.1913 (2.3101) Prec@1 50.000 (47.186) Prec@5 73.828 (72.612)
Epoch: [53][1400/5005] Time 0.206 (0.212) Data 0.042 (0.049) Loss 2.0577 (2.3092) Prec@1 49.609 (47.197) Prec@5 75.391 (72.627)
Epoch: [53][1410/5005] Time 0.212 (0.212) Data 0.047 (0.049) Loss 2.3510 (2.3088) Prec@1 45.312 (47.198) Prec@5 71.484 (72.624)
Epoch: [53][1420/5005] Time 0.206 (0.212) Data 0.051 (0.049) Loss 2.5567 (2.3091) Prec@1 43.750 (47.184) Prec@5 69.922 (72.622)
Epoch: [53][1430/5005] Time 0.211 (0.212) Data 0.062 (0.049) Loss 2.0123 (2.3088) Prec@1 50.391 (47.193) Prec@5 78.125 (72.630)
Epoch: [53][1440/5005] Time 0.198 (0.212) Data 0.042 (0.049) Loss 2.0947 (2.3084) Prec@1 51.172 (47.199) Prec@5 76.172 (72.629)
Epoch: [53][1450/5005] Time 0.217 (0.212) Data 0.046 (0.049) Loss 2.3028 (2.3083) Prec@1 49.219 (47.206) Prec@5 72.266 (72.627)
Epoch: [53][1460/5005] Time 0.211 (0.212) Data 0.056 (0.049) Loss 2.3606 (2.3083) Prec@1 46.484 (47.212) Prec@5 69.531 (72.625)
Epoch: [53][1470/5005] Time 0.204 (0.212) Data 0.059 (0.049) Loss 2.2956 (2.3086) Prec@1 43.750 (47.206) Prec@5 73.047 (72.622)
Epoch: [53][1480/5005] Time 0.198 (0.212) Data 0.049 (0.049) Loss 2.0695 (2.3087) Prec@1 55.859 (47.212) Prec@5 76.953 (72.623)
Epoch: [53][1490/5005] Time 0.214 (0.212) Data 0.042 (0.049) Loss 2.4943 (2.3085) Prec@1 44.531 (47.214) Prec@5 70.312 (72.628)
Epoch: [53][1500/5005] Time 0.213 (0.212) Data 0.047 (0.049) Loss 2.4370 (2.3083) Prec@1 46.484 (47.226) Prec@5 71.094 (72.631)
Epoch: [53][1510/5005] Time 0.208 (0.212) Data 0.043 (0.049) Loss 2.1103 (2.3079) Prec@1 51.953 (47.237) Prec@5 76.953 (72.634)
Epoch: [53][1520/5005] Time 0.209 (0.212) Data 0.040 (0.049) Loss 2.3096 (2.3077) Prec@1 45.312 (47.241) Prec@5 73.828 (72.637)
Epoch: [53][1530/5005] Time 0.212 (0.212) Data 0.046 (0.049) Loss 2.3724 (2.3079) Prec@1 46.484 (47.247) Prec@5 74.219 (72.634)
Epoch: [53][1540/5005] Time 0.214 (0.212) Data 0.044 (0.049) Loss 2.5198 (2.3082) Prec@1 43.359 (47.238) Prec@5 68.750 (72.628)
Epoch: [53][1550/5005] Time 0.208 (0.212) Data 0.059 (0.049) Loss 2.1733 (2.3080) Prec@1 48.438 (47.237) Prec@5 76.953 (72.632)
Epoch: [53][1560/5005] Time 0.204 (0.212) Data 0.044 (0.049) Loss 2.2114 (2.3081) Prec@1 48.438 (47.244) Prec@5 72.656 (72.630)
Epoch: [53][1570/5005] Time 0.204 (0.212) Data 0.044 (0.049) Loss 2.2295 (2.3080) Prec@1 47.656 (47.251) Prec@5 73.828 (72.630)
Epoch: [53][1580/5005] Time 0.212 (0.212) Data 0.041 (0.048) Loss 2.0869 (2.3078) Prec@1 50.000 (47.246) Prec@5 78.906 (72.629)
Epoch: [53][1590/5005] Time 0.210 (0.212) Data 0.041 (0.048) Loss 2.2891 (2.3079) Prec@1 47.656 (47.243) Prec@5 73.438 (72.626)
Epoch: [53][1600/5005] Time 0.213 (0.212) Data 0.044 (0.048) Loss 2.2564 (2.3079) Prec@1 47.266 (47.241) Prec@5 76.953 (72.631)
Epoch: [53][1610/5005] Time 0.213 (0.212) Data 0.043 (0.048) Loss 2.3486 (2.3079) Prec@1 44.922 (47.242) Prec@5 71.875 (72.629)
Epoch: [53][1620/5005] Time 0.214 (0.212) Data 0.043 (0.048) Loss 2.4633 (2.3076) Prec@1 43.750 (47.244) Prec@5 70.703 (72.632)
Epoch: [53][1630/5005] Time 0.212 (0.212) Data 0.045 (0.048) Loss 2.0959 (2.3075) Prec@1 48.438 (47.244) Prec@5 75.391 (72.634)
Epoch: [53][1640/5005] Time 0.208 (0.212) Data 0.050 (0.048) Loss 2.3922 (2.3079) Prec@1 50.391 (47.245) Prec@5 71.875 (72.623)
Epoch: [53][1650/5005] Time 0.220 (0.212) Data 0.045 (0.048) Loss 2.3713 (2.3079) Prec@1 50.000 (47.258) Prec@5 72.266 (72.625)
Epoch: [53][1660/5005] Time 0.214 (0.212) Data 0.043 (0.048) Loss 2.2253 (2.3073) Prec@1 48.438 (47.275) Prec@5 73.828 (72.629)
Epoch: [53][1670/5005] Time 0.214 (0.212) Data 0.046 (0.048) Loss 2.0856 (2.3076) Prec@1 53.516 (47.272) Prec@5 76.172 (72.623)
Epoch: [53][1680/5005] Time 0.206 (0.212) Data 0.051 (0.048) Loss 2.5521 (2.3079) Prec@1 48.047 (47.270) Prec@5 69.922 (72.618)
Epoch: [53][1690/5005] Time 0.211 (0.212) Data 0.043 (0.048) Loss 2.1315 (2.3077) Prec@1 46.484 (47.268) Prec@5 77.344 (72.623)
Epoch: [53][1700/5005] Time 0.214 (0.212) Data 0.053 (0.048) Loss 2.2996 (2.3073) Prec@1 48.828 (47.279) Prec@5 72.266 (72.629)
Epoch: [53][1710/5005] Time 0.206 (0.212) Data 0.043 (0.048) Loss 2.2587 (2.3068) Prec@1 47.656 (47.284) Prec@5 71.484 (72.631)
Epoch: [53][1720/5005] Time 0.208 (0.212) Data 0.041 (0.048) Loss 2.2323 (2.3067) Prec@1 48.047 (47.286) Prec@5 76.562 (72.638)
Epoch: [53][1730/5005] Time 0.208 (0.212) Data 0.067 (0.048) Loss 2.3254 (2.3065) Prec@1 45.312 (47.289) Prec@5 73.438 (72.639)
Epoch: [53][1740/5005] Time 0.212 (0.212) Data 0.042 (0.048) Loss 2.4167 (2.3063) Prec@1 47.266 (47.298) Prec@5 72.266 (72.647)
Epoch: [53][1750/5005] Time 0.210 (0.212) Data 0.056 (0.048) Loss 2.3512 (2.3061) Prec@1 45.703 (47.302) Prec@5 70.703 (72.654)
Epoch: [53][1760/5005] Time 0.212 (0.212) Data 0.066 (0.048) Loss 2.2067 (2.3057) Prec@1 49.609 (47.307) Prec@5 74.609 (72.664)
Epoch: [53][1770/5005] Time 0.202 (0.212) Data 0.054 (0.048) Loss 2.2954 (2.3055) Prec@1 46.484 (47.313) Prec@5 72.656 (72.665)
Epoch: [53][1780/5005] Time 0.206 (0.212) Data 0.063 (0.048) Loss 2.1715 (2.3056) Prec@1 48.438 (47.313) Prec@5 74.609 (72.663)
Epoch: [53][1790/5005] Time 0.197 (0.212) Data 0.066 (0.048) Loss 2.1784 (2.3053) Prec@1 51.953 (47.320) Prec@5 73.438 (72.668)
Epoch: [53][1800/5005] Time 0.209 (0.212) Data 0.047 (0.048) Loss 2.2102 (2.3052) Prec@1 46.875 (47.324) Prec@5 76.172 (72.666)
Epoch: [53][1810/5005] Time 0.208 (0.212) Data 0.047 (0.048) Loss 2.2186 (2.3050) Prec@1 48.438 (47.324) Prec@5 72.266 (72.671)
Epoch: [53][1820/5005] Time 0.203 (0.212) Data 0.044 (0.048) Loss 2.3462 (2.3050) Prec@1 45.703 (47.325) Prec@5 74.609 (72.675)
Epoch: [53][1830/5005] Time 0.210 (0.212) Data 0.045 (0.048) Loss 2.1452 (2.3048) Prec@1 49.219 (47.330) Prec@5 75.000 (72.677)
Epoch: [53][1840/5005] Time 0.207 (0.212) Data 0.042 (0.048) Loss 2.5185 (2.3047) Prec@1 37.891 (47.324) Prec@5 70.312 (72.678)
Epoch: [53][1850/5005] Time 0.210 (0.212) Data 0.048 (0.048) Loss 2.1456 (2.3043) Prec@1 53.516 (47.329) Prec@5 76.562 (72.689)
Epoch: [53][1860/5005] Time 0.212 (0.212) Data 0.042 (0.048) Loss 2.2414 (2.3044) Prec@1 50.391 (47.323) Prec@5 73.047 (72.689)
Epoch: [53][1870/5005] Time 0.204 (0.212) Data 0.060 (0.048) Loss 2.5285 (2.3049) Prec@1 42.578 (47.317) Prec@5 73.047 (72.682)
Epoch: [53][1880/5005] Time 0.208 (0.212) Data 0.063 (0.048) Loss 2.3871 (2.3050) Prec@1 48.828 (47.313) Prec@5 71.875 (72.682)
Epoch: [53][1890/5005] Time 0.215 (0.212) Data 0.046 (0.048) Loss 2.3260 (2.3049) Prec@1 45.703 (47.311) Prec@5 70.312 (72.681)
Epoch: [53][1900/5005] Time 0.200 (0.212) Data 0.054 (0.048) Loss 2.2688 (2.3052) Prec@1 47.266 (47.306) Prec@5 72.656 (72.681)
Epoch: [53][1910/5005] Time 0.206 (0.212) Data 0.044 (0.048) Loss 2.2428 (2.3051) Prec@1 50.000 (47.307) Prec@5 75.000 (72.680)
Epoch: [53][1920/5005] Time 0.209 (0.212) Data 0.048 (0.048) Loss 2.0776 (2.3049) Prec@1 51.172 (47.306) Prec@5 79.688 (72.685)
Epoch: [53][1930/5005] Time 0.210 (0.212) Data 0.044 (0.048) Loss 2.1631 (2.3046) Prec@1 51.562 (47.315) Prec@5 75.781 (72.692)
Epoch: [53][1940/5005] Time 0.211 (0.212) Data 0.047 (0.048) Loss 2.1713 (2.3042) Prec@1 49.219 (47.321) Prec@5 76.953 (72.701)
Epoch: [53][1950/5005] Time 0.199 (0.212) Data 0.043 (0.048) Loss 2.3371 (2.3041) Prec@1 44.531 (47.322) Prec@5 72.656 (72.701)
Epoch: [53][1960/5005] Time 0.204 (0.211) Data 0.057 (0.048) Loss 2.3174 (2.3038) Prec@1 49.609 (47.324) Prec@5 70.703 (72.703)
Epoch: [53][1970/5005] Time 0.199 (0.211) Data 0.041 (0.048) Loss 2.4723 (2.3039) Prec@1 45.312 (47.318) Prec@5 67.578 (72.699)
Epoch: [53][1980/5005] Time 0.204 (0.211) Data 0.066 (0.048) Loss 2.0260 (2.3037) Prec@1 48.828 (47.323) Prec@5 75.781 (72.700)
Epoch: [53][1990/5005] Time 0.214 (0.211) Data 0.044 (0.048) Loss 2.0320 (2.3034) Prec@1 54.688 (47.328) Prec@5 77.344 (72.706)
Epoch: [53][2000/5005] Time 0.213 (0.211) Data 0.044 (0.048) Loss 2.1722 (2.3035) Prec@1 52.734 (47.330) Prec@5 75.781 (72.707)
Epoch: [53][2010/5005] Time 0.216 (0.211) Data 0.043 (0.048) Loss 2.2375 (2.3036) Prec@1 51.172 (47.330) Prec@5 73.828 (72.705)
Epoch: [53][2020/5005] Time 0.212 (0.211) Data 0.043 (0.048) Loss 2.2976 (2.3035) Prec@1 48.828 (47.331) Prec@5 73.438 (72.704)
Epoch: [53][2030/5005] Time 0.195 (0.211) Data 0.042 (0.048) Loss 2.2162 (2.3036) Prec@1 47.266 (47.333) Prec@5 76.562 (72.704)
Epoch: [53][2040/5005] Time 0.213 (0.211) Data 0.043 (0.048) Loss 2.1159 (2.3034) Prec@1 48.438 (47.336) Prec@5 74.609 (72.705)
Epoch: [53][2050/5005] Time 0.214 (0.211) Data 0.042 (0.048) Loss 2.3748 (2.3033) Prec@1 47.656 (47.342) Prec@5 67.969 (72.709)
Epoch: [53][2060/5005] Time 0.204 (0.211) Data 0.045 (0.048) Loss 2.1882 (2.3033) Prec@1 48.828 (47.344) Prec@5 72.656 (72.710)
Epoch: [53][2070/5005] Time 0.216 (0.211) Data 0.042 (0.048) Loss 2.5375 (2.3035) Prec@1 41.797 (47.340) Prec@5 69.922 (72.706)
Epoch: [53][2080/5005] Time 0.205 (0.211) Data 0.053 (0.048) Loss 2.3038 (2.3035) Prec@1 44.922 (47.340) Prec@5 70.703 (72.703)
Epoch: [53][2090/5005] Time 0.214 (0.211) Data 0.057 (0.048) Loss 2.1885 (2.3029) Prec@1 50.781 (47.345) Prec@5 73.828 (72.714)
Epoch: [53][2100/5005] Time 0.213 (0.211) Data 0.059 (0.048) Loss 2.3817 (2.3027) Prec@1 45.312 (47.347) Prec@5 72.656 (72.720)
Epoch: [53][2110/5005] Time 0.214 (0.211) Data 0.044 (0.048) Loss 2.1585 (2.3028) Prec@1 50.391 (47.347) Prec@5 74.609 (72.716)
Epoch: [53][2120/5005] Time 0.194 (0.211) Data 0.057 (0.048) Loss 2.4046 (2.3026) Prec@1 47.266 (47.349) Prec@5 71.094 (72.721)
Epoch: [53][2130/5005] Time 0.210 (0.211) Data 0.066 (0.048) Loss 2.3879 (2.3021) Prec@1 44.922 (47.356) Prec@5 72.656 (72.732)
Epoch: [53][2140/5005] Time 0.210 (0.211) Data 0.047 (0.048) Loss 2.1946 (2.3022) Prec@1 47.656 (47.355) Prec@5 72.266 (72.730)
Epoch: [53][2150/5005] Time 0.199 (0.211) Data 0.043 (0.048) Loss 2.2384 (2.3024) Prec@1 49.609 (47.354) Prec@5 72.266 (72.731)
Epoch: [53][2160/5005] Time 0.210 (0.211) Data 0.044 (0.048) Loss 2.2602 (2.3022) Prec@1 49.219 (47.352) Prec@5 72.656 (72.734)
Epoch: [53][2170/5005] Time 0.205 (0.211) Data 0.050 (0.048) Loss 2.1938 (2.3018) Prec@1 54.297 (47.363) Prec@5 70.312 (72.741)
Epoch: [53][2180/5005] Time 0.201 (0.211) Data 0.043 (0.048) Loss 2.2824 (2.3018) Prec@1 49.219 (47.361) Prec@5 72.266 (72.741)
Epoch: [53][2190/5005] Time 0.211 (0.211) Data 0.046 (0.048) Loss 2.5391 (2.3017) Prec@1 50.000 (47.368) Prec@5 68.750 (72.740)
Epoch: [53][2200/5005] Time 0.208 (0.211) Data 0.047 (0.048) Loss 2.2392 (2.3018) Prec@1 46.484 (47.361) Prec@5 71.875 (72.739)
Epoch: [53][2210/5005] Time 0.208 (0.211) Data 0.045 (0.048) Loss 2.4209 (2.3021) Prec@1 43.359 (47.358) Prec@5 67.578 (72.733)
Epoch: [53][2220/5005] Time 0.200 (0.211) Data 0.065 (0.048) Loss 2.3678 (2.3020) Prec@1 46.875 (47.363) Prec@5 69.141 (72.730)
Epoch: [53][2230/5005] Time 0.197 (0.211) Data 0.060 (0.048) Loss 2.3647 (2.3022) Prec@1 45.312 (47.358) Prec@5 73.438 (72.729)
Epoch: [53][2240/5005] Time 0.208 (0.211) Data 0.052 (0.048) Loss 2.3665 (2.3023) Prec@1 47.656 (47.357) Prec@5 73.828 (72.729)
Epoch: [53][2250/5005] Time 0.197 (0.211) Data 0.052 (0.048) Loss 2.0282 (2.3023) Prec@1 49.609 (47.354) Prec@5 76.953 (72.729)
Epoch: [53][2260/5005] Time 0.206 (0.211) Data 0.046 (0.048) Loss 2.1900 (2.3020) Prec@1 45.703 (47.359) Prec@5 73.047 (72.733)
Epoch: [53][2270/5005] Time 0.211 (0.211) Data 0.040 (0.048) Loss 2.4064 (2.3016) Prec@1 41.016 (47.369) Prec@5 69.531 (72.741)
Epoch: [53][2280/5005] Time 0.212 (0.211) Data 0.041 (0.048) Loss 2.3170 (2.3016) Prec@1 45.312 (47.370) Prec@5 72.656 (72.743)
Epoch: [53][2290/5005] Time 0.204 (0.211) Data 0.047 (0.048) Loss 2.2844 (2.3016) Prec@1 48.438 (47.369) Prec@5 72.656 (72.742)
Epoch: [53][2300/5005] Time 0.206 (0.211) Data 0.049 (0.048) Loss 2.2181 (2.3015) Prec@1 46.875 (47.370) Prec@5 73.438 (72.743)
Epoch: [53][2310/5005] Time 0.214 (0.211) Data 0.047 (0.048) Loss 2.0050 (2.3013) Prec@1 50.000 (47.376) Prec@5 75.000 (72.744)
Epoch: [53][2320/5005] Time 0.206 (0.211) Data 0.057 (0.048) Loss 2.4432 (2.3014) Prec@1 41.797 (47.374) Prec@5 71.484 (72.744)
Epoch: [53][2330/5005] Time 0.203 (0.211) Data 0.057 (0.048) Loss 2.2465 (2.3013) Prec@1 47.656 (47.374) Prec@5 73.438 (72.748)
Epoch: [53][2340/5005] Time 0.213 (0.211) Data 0.049 (0.048) Loss 2.2352 (2.3011) Prec@1 45.703 (47.374) Prec@5 73.047 (72.750)
Epoch: [53][2350/5005] Time 0.208 (0.211) Data 0.042 (0.048) Loss 2.1363 (2.3009) Prec@1 53.125 (47.379) Prec@5 76.562 (72.752)
Epoch: [53][2360/5005] Time 0.214 (0.211) Data 0.048 (0.048) Loss 2.2900 (2.3010) Prec@1 46.094 (47.377) Prec@5 73.047 (72.752)
Epoch: [53][2370/5005] Time 0.215 (0.211) Data 0.043 (0.048) Loss 2.4119 (2.3012) Prec@1 46.094 (47.372) Prec@5 68.750 (72.748)
Epoch: [53][2380/5005] Time 0.198 (0.211) Data 0.044 (0.048) Loss 2.3428 (2.3010) Prec@1 46.094 (47.378) Prec@5 67.969 (72.746)
Epoch: [53][2390/5005] Time 0.204 (0.211) Data 0.047 (0.048) Loss 2.3772 (2.3009) Prec@1 45.312 (47.380) Prec@5 70.312 (72.747)
Epoch: [53][2400/5005] Time 0.196 (0.211) Data 0.053 (0.048) Loss 2.1740 (2.3007) Prec@1 46.094 (47.378) Prec@5 73.438 (72.750)
Epoch: [53][2410/5005] Time 0.217 (0.211) Data 0.043 (0.048) Loss 2.4953 (2.3007) Prec@1 44.922 (47.382) Prec@5 68.359 (72.748)
Epoch: [53][2420/5005] Time 0.213 (0.211) Data 0.042 (0.048) Loss 2.4162 (2.3005) Prec@1 46.094 (47.387) Prec@5 69.141 (72.748)
Epoch: [53][2430/5005] Time 0.211 (0.211) Data 0.047 (0.048) Loss 2.2498 (2.3008) Prec@1 44.922 (47.383) Prec@5 71.484 (72.739)
Epoch: [53][2440/5005] Time 0.210 (0.211) Data 0.044 (0.048) Loss 2.0656 (2.3005) Prec@1 50.391 (47.389) Prec@5 77.734 (72.743)
Epoch: [53][2450/5005] Time 0.213 (0.211) Data 0.045 (0.048) Loss 2.2768 (2.3003) Prec@1 46.094 (47.393) Prec@5 69.922 (72.743)
Epoch: [53][2460/5005] Time 0.211 (0.211) Data 0.042 (0.048) Loss 2.1937 (2.3001) Prec@1 50.781 (47.395) Prec@5 74.609 (72.743)
Epoch: [53][2470/5005] Time 0.214 (0.211) Data 0.043 (0.048) Loss 2.0995 (2.2998) Prec@1 50.781 (47.398) Prec@5 76.172 (72.750)
Epoch: [53][2480/5005] Time 0.205 (0.211) Data 0.044 (0.048) Loss 2.5094 (2.2999) Prec@1 43.750 (47.398) Prec@5 68.750 (72.750)
Epoch: [53][2490/5005] Time 0.200 (0.211) Data 0.045 (0.048) Loss 2.1297 (2.3000) Prec@1 49.219 (47.393) Prec@5 75.000 (72.748)
Epoch: [53][2500/5005] Time 0.215 (0.211) Data 0.046 (0.048) Loss 2.3785 (2.3000) Prec@1 45.312 (47.398) Prec@5 69.531 (72.746)
Epoch: [53][2510/5005] Time 0.204 (0.211) Data 0.044 (0.048) Loss 2.4213 (2.3000) Prec@1 46.875 (47.394) Prec@5 74.609 (72.745)
Epoch: [53][2520/5005] Time 0.210 (0.211) Data 0.046 (0.048) Loss 2.1981 (2.2999) Prec@1 51.172 (47.396) Prec@5 75.391 (72.744)
Epoch: [53][2530/5005] Time 0.210 (0.211) Data 0.050 (0.048) Loss 2.3823 (2.2999) Prec@1 48.828 (47.396) Prec@5 69.922 (72.746)
Epoch: [53][2540/5005] Time 0.198 (0.211) Data 0.044 (0.048) Loss 2.2081 (2.2997) Prec@1 48.828 (47.399) Prec@5 73.047 (72.750)
Epoch: [53][2550/5005] Time 0.205 (0.211) Data 0.045 (0.048) Loss 2.2330 (2.2997) Prec@1 46.094 (47.403) Prec@5 74.609 (72.751)
Epoch: [53][2560/5005] Time 0.207 (0.211) Data 0.047 (0.048) Loss 2.5416 (2.2998) Prec@1 44.531 (47.403) Prec@5 66.016 (72.747)
Epoch: [53][2570/5005] Time 0.218 (0.211) Data 0.044 (0.048) Loss 2.3164 (2.2998) Prec@1 48.047 (47.405) Prec@5 72.266 (72.747)
Epoch: [53][2580/5005] Time 0.207 (0.211) Data 0.047 (0.048) Loss 2.4025 (2.3002) Prec@1 44.531 (47.400) Prec@5 69.141 (72.737)
Epoch: [53][2590/5005] Time 0.207 (0.211) Data 0.047 (0.048) Loss 2.4417 (2.3002) Prec@1 45.703 (47.402) Prec@5 69.922 (72.736)
Epoch: [53][2600/5005] Time 0.203 (0.211) Data 0.046 (0.048) Loss 2.3707 (2.3004) Prec@1 48.438 (47.398) Prec@5 71.094 (72.731)
Epoch: [53][2610/5005] Time 0.215 (0.211) Data 0.043 (0.048) Loss 2.4478 (2.3002) Prec@1 44.922 (47.403) Prec@5 72.266 (72.737)
Epoch: [53][2620/5005] Time 0.215 (0.211) Data 0.043 (0.048) Loss 2.2649 (2.3000) Prec@1 44.922 (47.407) Prec@5 73.828 (72.741)
Epoch: [53][2630/5005] Time 0.191 (0.211) Data 0.053 (0.048) Loss 2.5184 (2.3004) Prec@1 46.484 (47.405) Prec@5 70.312 (72.733)
Epoch: [53][2640/5005] Time 0.206 (0.211) Data 0.053 (0.048) Loss 2.4592 (2.3002) Prec@1 42.578 (47.404) Prec@5 69.531 (72.736)
Epoch: [53][2650/5005] Time 0.210 (0.211) Data 0.047 (0.048) Loss 2.4758 (2.3002) Prec@1 44.531 (47.401) Prec@5 69.531 (72.737)
Epoch: [53][2660/5005] Time 0.207 (0.211) Data 0.041 (0.048) Loss 2.2965 (2.3001) Prec@1 45.703 (47.403) Prec@5 72.656 (72.735)
Epoch: [53][2670/5005] Time 0.207 (0.211) Data 0.047 (0.048) Loss 1.8708 (2.2996) Prec@1 53.125 (47.414) Prec@5 80.469 (72.742)
Epoch: [53][2680/5005] Time 0.207 (0.211) Data 0.047 (0.048) Loss 2.1266 (2.2994) Prec@1 52.344 (47.417) Prec@5 77.734 (72.746)
Epoch: [53][2690/5005] Time 0.202 (0.211) Data 0.047 (0.048) Loss 2.1140 (2.2993) Prec@1 52.734 (47.419) Prec@5 76.562 (72.745)
Epoch: [53][2700/5005] Time 0.207 (0.211) Data 0.047 (0.048) Loss 2.1795 (2.2994) Prec@1 49.219 (47.415) Prec@5 74.219 (72.746)
Epoch: [53][2710/5005] Time 0.204 (0.211) Data 0.058 (0.048) Loss 2.1780 (2.2995) Prec@1 51.953 (47.411) Prec@5 76.172 (72.745)
Epoch: [53][2720/5005] Time 0.215 (0.211) Data 0.043 (0.048) Loss 2.1628 (2.2995) Prec@1 52.344 (47.410) Prec@5 75.781 (72.750)
Epoch: [53][2730/5005] Time 0.201 (0.211) Data 0.053 (0.048) Loss 2.2589 (2.2992) Prec@1 48.438 (47.415) Prec@5 71.875 (72.754)
Epoch: [53][2740/5005] Time 0.205 (0.211) Data 0.039 (0.048) Loss 2.1474 (2.2991) Prec@1 52.734 (47.422) Prec@5 72.266 (72.751)
Epoch: [53][2750/5005] Time 0.201 (0.211) Data 0.059 (0.048) Loss 2.1401 (2.2989) Prec@1 51.172 (47.426) Prec@5 75.391 (72.753)
Epoch: [53][2760/5005] Time 0.202 (0.211) Data 0.048 (0.048) Loss 2.3642 (2.2988) Prec@1 47.656 (47.428) Prec@5 72.656 (72.757)
Epoch: [53][2770/5005] Time 0.205 (0.211) Data 0.057 (0.048) Loss 2.2016 (2.2988) Prec@1 49.219 (47.428) Prec@5 73.047 (72.757)
Epoch: [53][2780/5005] Time 0.209 (0.211) Data 0.047 (0.048) Loss 2.5865 (2.2989) Prec@1 40.625 (47.431) Prec@5 68.359 (72.756)
Epoch: [53][2790/5005] Time 0.211 (0.211) Data 0.048 (0.048) Loss 2.5790 (2.2990) Prec@1 39.062 (47.430) Prec@5 68.359 (72.756)
Epoch: [53][2800/5005] Time 0.212 (0.211) Data 0.043 (0.048) Loss 1.9863 (2.2990) Prec@1 53.906 (47.434) Prec@5 76.953 (72.759)
Epoch: [53][2810/5005] Time 0.204 (0.211) Data 0.041 (0.048) Loss 2.4972 (2.2990) Prec@1 45.703 (47.433) Prec@5 67.969 (72.757)
Epoch: [53][2820/5005] Time 0.212 (0.211) Data 0.041 (0.048) Loss 1.9727 (2.2988) Prec@1 51.953 (47.437) Prec@5 75.000 (72.760)
Epoch: [53][2830/5005] Time 0.204 (0.211) Data 0.051 (0.048) Loss 2.5771 (2.2989) Prec@1 41.016 (47.434) Prec@5 69.922 (72.761)
Epoch: [53][2840/5005] Time 0.212 (0.211) Data 0.046 (0.048) Loss 2.3882 (2.2988) Prec@1 45.703 (47.431) Prec@5 71.094 (72.763)
Epoch: [53][2850/5005] Time 0.204 (0.211) Data 0.048 (0.048) Loss 2.2421 (2.2987) Prec@1 48.828 (47.431) Prec@5 71.484 (72.767)
Epoch: [53][2860/5005] Time 0.211 (0.211) Data 0.044 (0.048) Loss 2.3431 (2.2988) Prec@1 50.000 (47.435) Prec@5 72.656 (72.768)
Epoch: [53][2870/5005] Time 0.201 (0.211) Data 0.044 (0.048) Loss 2.1755 (2.2985) Prec@1 51.172 (47.440) Prec@5 75.391 (72.774)
Epoch: [53][2880/5005] Time 0.215 (0.211) Data 0.043 (0.048) Loss 2.2702 (2.2984) Prec@1 44.531 (47.441) Prec@5 73.828 (72.774)
Epoch: [53][2890/5005] Time 0.206 (0.211) Data 0.048 (0.048) Loss 2.2423 (2.2982) Prec@1 48.047 (47.443) Prec@5 74.609 (72.776)
Epoch: [53][2900/5005] Time 0.207 (0.211) Data 0.043 (0.048) Loss 1.9433 (2.2979) Prec@1 53.125 (47.453) Prec@5 78.125 (72.781)
Epoch: [53][2910/5005] Time 0.210 (0.211) Data 0.043 (0.048) Loss 2.3271 (2.2980) Prec@1 47.656 (47.456) Prec@5 71.094 (72.780)
Epoch: [53][2920/5005] Time 0.216 (0.211) Data 0.045 (0.048) Loss 2.4928 (2.2980) Prec@1 44.922 (47.455) Prec@5 70.703 (72.778)
Epoch: [53][2930/5005] Time 0.210 (0.211) Data 0.042 (0.048) Loss 2.4515 (2.2981) Prec@1 42.578 (47.455) Prec@5 71.094 (72.777)
Epoch: [53][2940/5005] Time 0.196 (0.211) Data 0.066 (0.048) Loss 2.4433 (2.2979) Prec@1 45.312 (47.457) Prec@5 69.531 (72.781)
Epoch: [53][2950/5005] Time 0.209 (0.211) Data 0.040 (0.048) Loss 2.5426 (2.2978) Prec@1 37.109 (47.455) Prec@5 72.266 (72.785)
Epoch: [53][2960/5005] Time 0.203 (0.211) Data 0.048 (0.048) Loss 2.3106 (2.2977) Prec@1 46.875 (47.461) Prec@5 74.609 (72.783)
Epoch: [53][2970/5005] Time 0.208 (0.210) Data 0.047 (0.048) Loss 2.2014 (2.2974) Prec@1 45.703 (47.464) Prec@5 75.391 (72.788)
Epoch: [53][2980/5005] Time 0.207 (0.210) Data 0.052 (0.048) Loss 2.4592 (2.2975) Prec@1 46.484 (47.464) Prec@5 71.484 (72.787)
Epoch: [53][2990/5005] Time 0.208 (0.210) Data 0.049 (0.048) Loss 2.1979 (2.2974) Prec@1 54.297 (47.469) Prec@5 73.438 (72.789)
Epoch: [53][3000/5005] Time 0.201 (0.210) Data 0.063 (0.048) Loss 2.1745 (2.2972) Prec@1 49.609 (47.473) Prec@5 73.438 (72.793)
Epoch: [53][3010/5005] Time 0.200 (0.210) Data 0.044 (0.048) Loss 2.3551 (2.2974) Prec@1 47.656 (47.468) Prec@5 72.266 (72.788)
Epoch: [53][3020/5005] Time 0.207 (0.210) Data 0.047 (0.048) Loss 2.1493 (2.2975) Prec@1 48.828 (47.467) Prec@5 75.781 (72.789)
Epoch: [53][3030/5005] Time 0.216 (0.210) Data 0.043 (0.048) Loss 2.3603 (2.2976) Prec@1 50.391 (47.464) Prec@5 71.875 (72.791)
Epoch: [53][3040/5005] Time 0.206 (0.210) Data 0.047 (0.048) Loss 2.3578 (2.2976) Prec@1 45.312 (47.469) Prec@5 72.656 (72.790)
Epoch: [53][3050/5005] Time 0.211 (0.210) Data 0.051 (0.048) Loss 2.2486 (2.2976) Prec@1 44.922 (47.468) Prec@5 75.000 (72.791)
Epoch: [53][3060/5005] Time 0.202 (0.210) Data 0.052 (0.048) Loss 2.1319 (2.2974) Prec@1 52.344 (47.470) Prec@5 76.172 (72.794)
Epoch: [53][3070/5005] Time 0.207 (0.210) Data 0.045 (0.048) Loss 2.2385 (2.2973) Prec@1 46.094 (47.469) Prec@5 75.391 (72.794)
Epoch: [53][3080/5005] Time 0.200 (0.210) Data 0.049 (0.048) Loss 2.2264 (2.2973) Prec@1 49.219 (47.469) Prec@5 73.828 (72.797)
Epoch: [53][3090/5005] Time 0.207 (0.210) Data 0.046 (0.048) Loss 2.4052 (2.2972) Prec@1 45.312 (47.469) Prec@5 71.484 (72.802)
Epoch: [53][3100/5005] Time 0.213 (0.210) Data 0.047 (0.048) Loss 2.3131 (2.2972) Prec@1 48.438 (47.468) Prec@5 67.969 (72.798)
Epoch: [53][3110/5005] Time 0.199 (0.210) Data 0.046 (0.048) Loss 1.9533 (2.2969) Prec@1 53.906 (47.474) Prec@5 79.297 (72.805)
Epoch: [53][3120/5005] Time 0.220 (0.210) Data 0.046 (0.048) Loss 2.2979 (2.2969) Prec@1 46.484 (47.472) Prec@5 71.484 (72.805)
Epoch: [53][3130/5005] Time 0.206 (0.210) Data 0.049 (0.048) Loss 2.4765 (2.2968) Prec@1 43.359 (47.470) Prec@5 70.703 (72.809)
Epoch: [53][3140/5005] Time 0.209 (0.210) Data 0.045 (0.048) Loss 1.9871 (2.2966) Prec@1 57.422 (47.473) Prec@5 77.734 (72.811)
Epoch: [53][3150/5005] Time 0.215 (0.210) Data 0.045 (0.048) Loss 2.3028 (2.2965) Prec@1 49.609 (47.480) Prec@5 73.438 (72.813)
Epoch: [53][3160/5005] Time 0.205 (0.210) Data 0.044 (0.048) Loss 2.1246 (2.2963) Prec@1 53.906 (47.488) Prec@5 75.000 (72.817)
Epoch: [53][3170/5005] Time 0.212 (0.210) Data 0.041 (0.048) Loss 2.2304 (2.2963) Prec@1 48.438 (47.489) Prec@5 73.438 (72.818)
Epoch: [53][3180/5005] Time 0.206 (0.210) Data 0.044 (0.048) Loss 2.2496 (2.2964) Prec@1 50.000 (47.488) Prec@5 72.656 (72.816)
Epoch: [53][3190/5005] Time 0.214 (0.210) Data 0.043 (0.048) Loss 2.3336 (2.2964) Prec@1 43.750 (47.486) Prec@5 73.438 (72.815)
Epoch: [53][3200/5005] Time 0.208 (0.210) Data 0.046 (0.048) Loss 2.4030 (2.2963) Prec@1 47.266 (47.490) Prec@5 70.703 (72.815)
Epoch: [53][3210/5005] Time 0.206 (0.210) Data 0.042 (0.048) Loss 2.4048 (2.2964) Prec@1 49.219 (47.489) Prec@5 71.484 (72.814)
Epoch: [53][3220/5005] Time 0.205 (0.210) Data 0.042 (0.048) Loss 2.2809 (2.2965) Prec@1 50.391 (47.492) Prec@5 73.438 (72.811)
Epoch: [53][3230/5005] Time 0.209 (0.210) Data 0.044 (0.048) Loss 2.2011 (2.2962) Prec@1 47.656 (47.496) Prec@5 72.656 (72.812)
Epoch: [53][3240/5005] Time 0.202 (0.210) Data 0.055 (0.048) Loss 2.5387 (2.2965) Prec@1 42.969 (47.490) Prec@5 69.922 (72.805)
Epoch: [53][3250/5005] Time 0.210 (0.210) Data 0.046 (0.048) Loss 2.1950 (2.2966) Prec@1 50.781 (47.488) Prec@5 76.562 (72.806)
Epoch: [53][3260/5005] Time 0.205 (0.210) Data 0.046 (0.048) Loss 2.1536 (2.2965) Prec@1 49.609 (47.490) Prec@5 73.047 (72.809)
Epoch: [53][3270/5005] Time 0.202 (0.210) Data 0.046 (0.048) Loss 2.4574 (2.2965) Prec@1 44.141 (47.489) Prec@5 67.969 (72.809)
Epoch: [53][3280/5005] Time 0.207 (0.210) Data 0.046 (0.048) Loss 2.1006 (2.2965) Prec@1 52.734 (47.490) Prec@5 76.562 (72.809)
Epoch: [53][3290/5005] Time 0.209 (0.210) Data 0.046 (0.048) Loss 2.2362 (2.2964) Prec@1 47.656 (47.492) Prec@5 73.828 (72.810)
Epoch: [53][3300/5005] Time 0.206 (0.210) Data 0.048 (0.048) Loss 2.1985 (2.2963) Prec@1 45.703 (47.497) Prec@5 74.609 (72.810)
Epoch: [53][3310/5005] Time 0.202 (0.210) Data 0.057 (0.048) Loss 2.0759 (2.2962) Prec@1 54.688 (47.500) Prec@5 76.172 (72.811)
Epoch: [53][3320/5005] Time 0.213 (0.210) Data 0.056 (0.048) Loss 2.3928 (2.2962) Prec@1 46.094 (47.500) Prec@5 69.922 (72.812)
Epoch: [53][3330/5005] Time 0.204 (0.210) Data 0.049 (0.048) Loss 2.2874 (2.2963) Prec@1 46.875 (47.497) Prec@5 74.219 (72.811)
Epoch: [53][3340/5005] Time 0.206 (0.210) Data 0.041 (0.048) Loss 2.3233 (2.2963) Prec@1 47.656 (47.495) Prec@5 74.609 (72.810)
Epoch: [53][3350/5005] Time 0.211 (0.210) Data 0.049 (0.048) Loss 2.4038 (2.2962) Prec@1 50.000 (47.495) Prec@5 70.312 (72.810)
Epoch: [53][3360/5005] Time 0.201 (0.210) Data 0.043 (0.048) Loss 2.2275 (2.2962) Prec@1 47.656 (47.496) Prec@5 74.609 (72.810)
Epoch: [53][3370/5005] Time 0.210 (0.210) Data 0.049 (0.048) Loss 2.3697 (2.2964) Prec@1 43.359 (47.493) Prec@5 72.656 (72.809)
Epoch: [53][3380/5005] Time 0.200 (0.210) Data 0.048 (0.048) Loss 2.1740 (2.2962) Prec@1 50.000 (47.495) Prec@5 76.562 (72.812)
Epoch: [53][3390/5005] Time 0.214 (0.210) Data 0.059 (0.048) Loss 2.1483 (2.2963) Prec@1 51.562 (47.495) Prec@5 74.219 (72.809)
Epoch: [53][3400/5005] Time 0.205 (0.210) Data 0.063 (0.048) Loss 2.3084 (2.2964) Prec@1 48.047 (47.491) Prec@5 72.656 (72.807)
Epoch: [53][3410/5005] Time 0.199 (0.210) Data 0.058 (0.048) Loss 2.2495 (2.2963) Prec@1 46.094 (47.493) Prec@5 75.391 (72.809)
Epoch: [53][3420/5005] Time 0.205 (0.210) Data 0.056 (0.048) Loss 2.1592 (2.2962) Prec@1 52.734 (47.491) Prec@5 77.344 (72.810)
Epoch: [53][3430/5005] Time 0.209 (0.210) Data 0.050 (0.048) Loss 2.3034 (2.2961) Prec@1 48.828 (47.494) Prec@5 70.703 (72.813)
Epoch: [53][3440/5005] Time 0.202 (0.210) Data 0.044 (0.048) Loss 2.2937 (2.2960) Prec@1 46.094 (47.498) Prec@5 69.141 (72.812)
Epoch: [53][3450/5005] Time 0.211 (0.210) Data 0.042 (0.048) Loss 2.0690 (2.2958) Prec@1 51.172 (47.500) Prec@5 76.172 (72.814)
Epoch: [53][3460/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.2300 (2.2958) Prec@1 53.516 (47.504) Prec@5 69.922 (72.814)
Epoch: [53][3470/5005] Time 0.212 (0.210) Data 0.042 (0.048) Loss 2.1512 (2.2956) Prec@1 53.906 (47.506) Prec@5 73.828 (72.819)
Epoch: [53][3480/5005] Time 0.202 (0.210) Data 0.053 (0.048) Loss 2.1695 (2.2954) Prec@1 49.219 (47.507) Prec@5 75.781 (72.822)
Epoch: [53][3490/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.2942 (2.2954) Prec@1 48.047 (47.504) Prec@5 73.047 (72.821)
Epoch: [53][3500/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.1501 (2.2955) Prec@1 49.609 (47.504) Prec@5 75.391 (72.822)
Epoch: [53][3510/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.0548 (2.2953) Prec@1 48.828 (47.505) Prec@5 74.609 (72.824)
Epoch: [53][3520/5005] Time 0.210 (0.210) Data 0.045 (0.048) Loss 2.4037 (2.2953) Prec@1 46.094 (47.507) Prec@5 71.484 (72.824)
Epoch: [53][3530/5005] Time 0.194 (0.210) Data 0.049 (0.048) Loss 2.1906 (2.2950) Prec@1 48.047 (47.513) Prec@5 77.734 (72.827)
Epoch: [53][3540/5005] Time 0.209 (0.210) Data 0.046 (0.048) Loss 2.1696 (2.2948) Prec@1 49.219 (47.516) Prec@5 74.609 (72.831)
Epoch: [53][3550/5005] Time 0.209 (0.210) Data 0.045 (0.048) Loss 2.3987 (2.2948) Prec@1 44.141 (47.517) Prec@5 69.141 (72.830)
Epoch: [53][3560/5005] Time 0.199 (0.210) Data 0.052 (0.048) Loss 2.3662 (2.2947) Prec@1 48.047 (47.520) Prec@5 68.359 (72.829)
Epoch: [53][3570/5005] Time 0.208 (0.210) Data 0.054 (0.048) Loss 2.2222 (2.2946) Prec@1 46.094 (47.523) Prec@5 74.219 (72.830)
Epoch: [53][3580/5005] Time 0.208 (0.210) Data 0.053 (0.048) Loss 2.2349 (2.2946) Prec@1 45.312 (47.523) Prec@5 72.656 (72.829)
Epoch: [53][3590/5005] Time 0.201 (0.210) Data 0.041 (0.048) Loss 2.3334 (2.2943) Prec@1 45.703 (47.529) Prec@5 68.750 (72.832)
Epoch: [53][3600/5005] Time 0.212 (0.210) Data 0.060 (0.048) Loss 2.3324 (2.2941) Prec@1 47.656 (47.533) Prec@5 71.484 (72.835)
Epoch: [53][3610/5005] Time 0.208 (0.210) Data 0.062 (0.048) Loss 2.1850 (2.2940) Prec@1 51.562 (47.535) Prec@5 76.562 (72.840)
Epoch: [53][3620/5005] Time 0.217 (0.210) Data 0.043 (0.048) Loss 2.6058 (2.2938) Prec@1 42.188 (47.540) Prec@5 66.797 (72.843)
Epoch: [53][3630/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.5490 (2.2938) Prec@1 42.969 (47.541) Prec@5 69.531 (72.844)
Epoch: [53][3640/5005] Time 0.210 (0.210) Data 0.040 (0.048) Loss 2.2884 (2.2938) Prec@1 48.828 (47.541) Prec@5 73.828 (72.843)
Epoch: [53][3650/5005] Time 0.207 (0.210) Data 0.041 (0.048) Loss 2.0889 (2.2939) Prec@1 49.219 (47.541) Prec@5 79.297 (72.843)
Epoch: [53][3660/5005] Time 0.196 (0.210) Data 0.047 (0.048) Loss 2.3757 (2.2936) Prec@1 46.094 (47.545) Prec@5 72.656 (72.849)
Epoch: [53][3670/5005] Time 0.209 (0.210) Data 0.049 (0.048) Loss 2.4425 (2.2937) Prec@1 45.703 (47.544) Prec@5 71.875 (72.848)
Epoch: [53][3680/5005] Time 0.192 (0.210) Data 0.060 (0.048) Loss 2.1962 (2.2937) Prec@1 46.094 (47.544) Prec@5 74.219 (72.847)
Epoch: [53][3690/5005] Time 0.205 (0.210) Data 0.050 (0.048) Loss 2.1495 (2.2937) Prec@1 47.266 (47.543) Prec@5 76.953 (72.848)
Epoch: [53][3700/5005] Time 0.213 (0.210) Data 0.044 (0.048) Loss 2.2714 (2.2937) Prec@1 49.609 (47.543) Prec@5 73.047 (72.849)
Epoch: [53][3710/5005] Time 0.196 (0.210) Data 0.050 (0.048) Loss 2.1711 (2.2938) Prec@1 48.828 (47.541) Prec@5 74.219 (72.848)
Epoch: [53][3720/5005] Time 0.202 (0.210) Data 0.048 (0.048) Loss 2.5067 (2.2938) Prec@1 43.359 (47.540) Prec@5 69.141 (72.848)
Epoch: [53][3730/5005] Time 0.206 (0.210) Data 0.049 (0.048) Loss 2.2479 (2.2937) Prec@1 48.438 (47.541) Prec@5 73.047 (72.848)
Epoch: [53][3740/5005] Time 0.207 (0.210) Data 0.054 (0.048) Loss 2.3177 (2.2935) Prec@1 47.656 (47.544) Prec@5 74.609 (72.853)
Epoch: [53][3750/5005] Time 0.201 (0.210) Data 0.046 (0.048) Loss 2.1893 (2.2935) Prec@1 49.609 (47.544) Prec@5 76.562 (72.854)
Epoch: [53][3760/5005] Time 0.207 (0.210) Data 0.047 (0.048) Loss 2.2652 (2.2936) Prec@1 47.266 (47.541) Prec@5 70.312 (72.853)
Epoch: [53][3770/5005] Time 0.202 (0.210) Data 0.046 (0.048) Loss 2.3041 (2.2935) Prec@1 50.000 (47.543) Prec@5 72.656 (72.852)
Epoch: [53][3780/5005] Time 0.209 (0.210) Data 0.042 (0.048) Loss 2.2412 (2.2935) Prec@1 48.047 (47.543) Prec@5 73.047 (72.855)
Epoch: [53][3790/5005] Time 0.207 (0.210) Data 0.041 (0.048) Loss 2.4190 (2.2935) Prec@1 51.562 (47.541) Prec@5 72.266 (72.854)
Epoch: [53][3800/5005] Time 0.211 (0.210) Data 0.047 (0.048) Loss 2.1345 (2.2936) Prec@1 51.562 (47.540) Prec@5 77.344 (72.851)
Epoch: [53][3810/5005] Time 0.213 (0.210) Data 0.046 (0.048) Loss 2.2243 (2.2936) Prec@1 48.047 (47.539) Prec@5 76.562 (72.852)
Epoch: [53][3820/5005] Time 0.205 (0.210) Data 0.046 (0.048) Loss 2.1744 (2.2934) Prec@1 46.875 (47.542) Prec@5 75.000 (72.855)
Epoch: [53][3830/5005] Time 0.216 (0.210) Data 0.046 (0.048) Loss 2.2305 (2.2932) Prec@1 45.312 (47.544) Prec@5 72.266 (72.861)
Epoch: [53][3840/5005] Time 0.209 (0.210) Data 0.047 (0.048) Loss 2.3821 (2.2931) Prec@1 44.531 (47.545) Prec@5 71.875 (72.861)
Epoch: [53][3850/5005] Time 0.220 (0.210) Data 0.046 (0.048) Loss 2.3616 (2.2930) Prec@1 42.188 (47.544) Prec@5 73.047 (72.865)
Epoch: [53][3860/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.2776 (2.2930) Prec@1 54.297 (47.547) Prec@5 72.656 (72.865)
Epoch: [53][3870/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.1764 (2.2929) Prec@1 48.438 (47.545) Prec@5 74.609 (72.865)
Epoch: [53][3880/5005] Time 0.205 (0.210) Data 0.045 (0.048) Loss 2.2839 (2.2929) Prec@1 48.047 (47.546) Prec@5 73.438 (72.863)
Epoch: [53][3890/5005] Time 0.206 (0.210) Data 0.049 (0.048) Loss 2.4136 (2.2929) Prec@1 46.484 (47.545) Prec@5 69.141 (72.865)
Epoch: [53][3900/5005] Time 0.216 (0.210) Data 0.055 (0.048) Loss 2.3975 (2.2929) Prec@1 46.875 (47.546) Prec@5 70.703 (72.863)
Epoch: [53][3910/5005] Time 0.207 (0.210) Data 0.061 (0.048) Loss 2.2026 (2.2929) Prec@1 43.750 (47.543) Prec@5 75.000 (72.865)
Epoch: [53][3920/5005] Time 0.207 (0.210) Data 0.045 (0.048) Loss 2.1563 (2.2929) Prec@1 49.609 (47.544) Prec@5 76.172 (72.864)
Epoch: [53][3930/5005] Time 0.210 (0.210) Data 0.051 (0.048) Loss 2.1638 (2.2927) Prec@1 47.656 (47.546) Prec@5 73.828 (72.866)
Epoch: [53][3940/5005] Time 0.203 (0.210) Data 0.052 (0.048) Loss 2.2117 (2.2927) Prec@1 48.828 (47.547) Prec@5 75.000 (72.868)
Epoch: [53][3950/5005] Time 0.208 (0.210) Data 0.050 (0.048) Loss 2.1139 (2.2925) Prec@1 53.516 (47.549) Prec@5 73.828 (72.870)
Epoch: [53][3960/5005] Time 0.208 (0.210) Data 0.050 (0.048) Loss 2.2899 (2.2926) Prec@1 42.578 (47.545) Prec@5 74.219 (72.871)
Epoch: [53][3970/5005] Time 0.207 (0.210) Data 0.041 (0.048) Loss 2.3835 (2.2926) Prec@1 46.875 (47.545) Prec@5 74.219 (72.872)
Epoch: [53][3980/5005] Time 0.215 (0.210) Data 0.045 (0.048) Loss 2.1081 (2.2925) Prec@1 48.047 (47.546) Prec@5 75.391 (72.874)
Epoch: [53][3990/5005] Time 0.202 (0.210) Data 0.048 (0.048) Loss 2.3189 (2.2925) Prec@1 45.312 (47.544) Prec@5 74.609 (72.874)
Epoch: [53][4000/5005] Time 0.215 (0.210) Data 0.046 (0.048) Loss 2.2385 (2.2925) Prec@1 50.391 (47.545) Prec@5 73.828 (72.873)
Epoch: [53][4010/5005] Time 0.200 (0.210) Data 0.055 (0.048) Loss 2.1579 (2.2922) Prec@1 48.047 (47.549) Prec@5 74.219 (72.876)
Epoch: [53][4020/5005] Time 0.197 (0.210) Data 0.051 (0.048) Loss 2.4714 (2.2922) Prec@1 43.750 (47.549) Prec@5 72.656 (72.877)
Epoch: [53][4030/5005] Time 0.210 (0.210) Data 0.045 (0.048) Loss 2.4416 (2.2924) Prec@1 44.922 (47.546) Prec@5 74.219 (72.875)
Epoch: [53][4040/5005] Time 0.222 (0.210) Data 0.047 (0.048) Loss 2.2865 (2.2925) Prec@1 50.000 (47.545) Prec@5 70.312 (72.875)
Epoch: [53][4050/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.4972 (2.2924) Prec@1 45.703 (47.547) Prec@5 71.094 (72.878)
Epoch: [53][4060/5005] Time 0.207 (0.210) Data 0.047 (0.048) Loss 2.3455 (2.2924) Prec@1 42.188 (47.548) Prec@5 70.703 (72.878)
Epoch: [53][4070/5005] Time 0.199 (0.210) Data 0.048 (0.048) Loss 2.4063 (2.2923) Prec@1 45.312 (47.545) Prec@5 74.609 (72.879)
Epoch: [53][4080/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.1842 (2.2922) Prec@1 48.047 (47.544) Prec@5 72.266 (72.881)
Epoch: [53][4090/5005] Time 0.213 (0.210) Data 0.044 (0.048) Loss 2.5284 (2.2923) Prec@1 45.703 (47.544) Prec@5 69.531 (72.881)
Epoch: [53][4100/5005] Time 0.211 (0.210) Data 0.046 (0.048) Loss 2.2895 (2.2923) Prec@1 44.141 (47.545) Prec@5 72.266 (72.882)
Epoch: [53][4110/5005] Time 0.213 (0.210) Data 0.044 (0.048) Loss 2.4156 (2.2922) Prec@1 44.922 (47.543) Prec@5 72.656 (72.886)
Epoch: [53][4120/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.3641 (2.2921) Prec@1 47.656 (47.545) Prec@5 72.266 (72.887)
Epoch: [53][4130/5005] Time 0.206 (0.210) Data 0.046 (0.048) Loss 2.3953 (2.2920) Prec@1 46.875 (47.550) Prec@5 73.438 (72.890)
Epoch: [53][4140/5005] Time 0.199 (0.210) Data 0.045 (0.048) Loss 2.3564 (2.2919) Prec@1 46.484 (47.549) Prec@5 72.266 (72.891)
Epoch: [53][4150/5005] Time 0.210 (0.210) Data 0.049 (0.048) Loss 2.4783 (2.2920) Prec@1 48.438 (47.551) Prec@5 70.703 (72.890)
Epoch: [53][4160/5005] Time 0.203 (0.210) Data 0.041 (0.048) Loss 2.3401 (2.2921) Prec@1 48.828 (47.550) Prec@5 71.875 (72.886)
Epoch: [53][4170/5005] Time 0.210 (0.210) Data 0.045 (0.048) Loss 2.2524 (2.2920) Prec@1 44.531 (47.554) Prec@5 73.828 (72.888)
Epoch: [53][4180/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.2338 (2.2919) Prec@1 51.172 (47.555) Prec@5 73.438 (72.889)
Epoch: [53][4190/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.1853 (2.2919) Prec@1 49.609 (47.557) Prec@5 69.531 (72.887)
Epoch: [53][4200/5005] Time 0.209 (0.210) Data 0.044 (0.048) Loss 2.1886 (2.2919) Prec@1 46.875 (47.554) Prec@5 71.875 (72.886)
Epoch: [53][4210/5005] Time 0.211 (0.210) Data 0.041 (0.048) Loss 2.1595 (2.2918) Prec@1 48.438 (47.555) Prec@5 75.000 (72.886)
Epoch: [53][4220/5005] Time 0.206 (0.210) Data 0.047 (0.048) Loss 2.3603 (2.2920) Prec@1 46.875 (47.555) Prec@5 73.047 (72.883)
Epoch: [53][4230/5005] Time 0.209 (0.210) Data 0.045 (0.048) Loss 2.2861 (2.2920) Prec@1 45.703 (47.553) Prec@5 75.391 (72.884)
Epoch: [53][4240/5005] Time 0.215 (0.210) Data 0.041 (0.048) Loss 2.1723 (2.2920) Prec@1 47.656 (47.550) Prec@5 75.391 (72.886)
Epoch: [53][4250/5005] Time 0.208 (0.210) Data 0.049 (0.048) Loss 2.2019 (2.2918) Prec@1 44.922 (47.552) Prec@5 72.266 (72.890)
Epoch: [53][4260/5005] Time 0.204 (0.210) Data 0.048 (0.048) Loss 2.2346 (2.2918) Prec@1 44.141 (47.552) Prec@5 75.000 (72.890)
Epoch: [53][4270/5005] Time 0.201 (0.210) Data 0.047 (0.048) Loss 2.3957 (2.2919) Prec@1 48.828 (47.552) Prec@5 71.875 (72.889)
Epoch: [53][4280/5005] Time 0.205 (0.210) Data 0.042 (0.048) Loss 2.5260 (2.2919) Prec@1 43.750 (47.554) Prec@5 71.484 (72.888)
Epoch: [53][4290/5005] Time 0.207 (0.210) Data 0.045 (0.048) Loss 2.4437 (2.2919) Prec@1 45.312 (47.553) Prec@5 70.312 (72.888)
Epoch: [53][4300/5005] Time 0.207 (0.210) Data 0.047 (0.048) Loss 2.0128 (2.2918) Prec@1 48.828 (47.555) Prec@5 75.781 (72.891)
Epoch: [53][4310/5005] Time 0.207 (0.210) Data 0.048 (0.048) Loss 2.1918 (2.2917) Prec@1 50.781 (47.558) Prec@5 74.609 (72.891)
Epoch: [53][4320/5005] Time 0.203 (0.210) Data 0.042 (0.048) Loss 2.2652 (2.2917) Prec@1 50.781 (47.557) Prec@5 75.781 (72.892)
Epoch: [53][4330/5005] Time 0.209 (0.210) Data 0.042 (0.048) Loss 2.2270 (2.2916) Prec@1 49.219 (47.559) Prec@5 71.094 (72.892)
Epoch: [53][4340/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.2743 (2.2917) Prec@1 48.438 (47.558) Prec@5 71.094 (72.890)
Epoch: [53][4350/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.2858 (2.2917) Prec@1 46.484 (47.559) Prec@5 69.531 (72.891)
Epoch: [53][4360/5005] Time 0.217 (0.210) Data 0.042 (0.048) Loss 2.1513 (2.2915) Prec@1 46.875 (47.562) Prec@5 74.609 (72.893)
Epoch: [53][4370/5005] Time 0.202 (0.210) Data 0.043 (0.048) Loss 2.3062 (2.2915) Prec@1 45.312 (47.564) Prec@5 71.875 (72.894)
Epoch: [53][4380/5005] Time 0.203 (0.210) Data 0.045 (0.048) Loss 2.4448 (2.2915) Prec@1 43.359 (47.559) Prec@5 69.531 (72.895)
Epoch: [53][4390/5005] Time 0.215 (0.210) Data 0.043 (0.048) Loss 2.3597 (2.2913) Prec@1 45.703 (47.565) Prec@5 70.312 (72.899)
Epoch: [53][4400/5005] Time 0.200 (0.210) Data 0.049 (0.048) Loss 2.1232 (2.2912) Prec@1 46.484 (47.566) Prec@5 75.391 (72.899)
Epoch: [53][4410/5005] Time 0.199 (0.210) Data 0.058 (0.048) Loss 2.2420 (2.2911) Prec@1 46.094 (47.569) Prec@5 73.047 (72.899)
Epoch: [53][4420/5005] Time 0.205 (0.210) Data 0.057 (0.048) Loss 2.0202 (2.2911) Prec@1 54.297 (47.571) Prec@5 75.000 (72.899)
Epoch: [53][4430/5005] Time 0.202 (0.210) Data 0.057 (0.048) Loss 2.1992 (2.2909) Prec@1 47.266 (47.576) Prec@5 74.219 (72.901)
Epoch: [53][4440/5005] Time 0.203 (0.210) Data 0.057 (0.048) Loss 2.3616 (2.2909) Prec@1 46.094 (47.575) Prec@5 71.484 (72.900)
Epoch: [53][4450/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.1595 (2.2909) Prec@1 46.094 (47.573) Prec@5 75.781 (72.899)
Epoch: [53][4460/5005] Time 0.211 (0.210) Data 0.042 (0.048) Loss 2.3044 (2.2908) Prec@1 45.312 (47.576) Prec@5 74.609 (72.902)
Epoch: [53][4470/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.2720 (2.2908) Prec@1 47.266 (47.577) Prec@5 71.484 (72.902)
Epoch: [53][4480/5005] Time 0.209 (0.210) Data 0.044 (0.048) Loss 2.2347 (2.2909) Prec@1 48.047 (47.572) Prec@5 73.047 (72.901)
Epoch: [53][4490/5005] Time 0.209 (0.210) Data 0.046 (0.048) Loss 2.3510 (2.2909) Prec@1 51.562 (47.571) Prec@5 69.922 (72.900)
Epoch: [53][4500/5005] Time 0.208 (0.210) Data 0.053 (0.048) Loss 2.2119 (2.2909) Prec@1 46.484 (47.573) Prec@5 75.781 (72.901)
Epoch: [53][4510/5005] Time 0.194 (0.210) Data 0.044 (0.048) Loss 2.2386 (2.2910) Prec@1 47.266 (47.571) Prec@5 74.219 (72.899)
Epoch: [53][4520/5005] Time 0.221 (0.210) Data 0.048 (0.048) Loss 2.0995 (2.2907) Prec@1 51.172 (47.575) Prec@5 78.516 (72.903)
Epoch: [53][4530/5005] Time 0.205 (0.210) Data 0.047 (0.048) Loss 2.3480 (2.2907) Prec@1 46.875 (47.578) Prec@5 69.922 (72.902)
Epoch: [53][4540/5005] Time 0.211 (0.210) Data 0.047 (0.048) Loss 2.2556 (2.2908) Prec@1 46.875 (47.574) Prec@5 73.828 (72.901)
Epoch: [53][4550/5005] Time 0.213 (0.210) Data 0.045 (0.048) Loss 2.3736 (2.2908) Prec@1 45.703 (47.575) Prec@5 71.875 (72.901)
Epoch: [53][4560/5005] Time 0.207 (0.210) Data 0.048 (0.048) Loss 2.2322 (2.2907) Prec@1 51.172 (47.579) Prec@5 76.562 (72.901)
Epoch: [53][4570/5005] Time 0.207 (0.210) Data 0.045 (0.048) Loss 2.2844 (2.2907) Prec@1 48.438 (47.579) Prec@5 73.047 (72.901)
Epoch: [53][4580/5005] Time 0.217 (0.210) Data 0.054 (0.048) Loss 2.3404 (2.2906) Prec@1 46.875 (47.581) Prec@5 70.703 (72.903)
Epoch: [53][4590/5005] Time 0.206 (0.210) Data 0.047 (0.048) Loss 2.1054 (2.2905) Prec@1 50.000 (47.582) Prec@5 75.781 (72.903)
Epoch: [53][4600/5005] Time 0.212 (0.210) Data 0.047 (0.048) Loss 2.0640 (2.2906) Prec@1 50.781 (47.580) Prec@5 75.781 (72.900)
Epoch: [53][4610/5005] Time 0.218 (0.210) Data 0.044 (0.048) Loss 2.0861 (2.2905) Prec@1 51.562 (47.582) Prec@5 77.344 (72.901)
Epoch: [53][4620/5005] Time 0.212 (0.210) Data 0.055 (0.048) Loss 2.1222 (2.2905) Prec@1 48.828 (47.583) Prec@5 73.828 (72.900)
Epoch: [53][4630/5005] Time 0.216 (0.210) Data 0.047 (0.048) Loss 2.0597 (2.2903) Prec@1 52.344 (47.587) Prec@5 75.781 (72.903)
Epoch: [53][4640/5005] Time 0.202 (0.210) Data 0.055 (0.048) Loss 2.3001 (2.2903) Prec@1 51.562 (47.587) Prec@5 72.266 (72.902)
Epoch: [53][4650/5005] Time 0.207 (0.210) Data 0.044 (0.048) Loss 2.3291 (2.2903) Prec@1 47.266 (47.587) Prec@5 73.047 (72.902)
Epoch: [53][4660/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.5443 (2.2903) Prec@1 42.578 (47.588) Prec@5 64.453 (72.900)
Epoch: [53][4670/5005] Time 0.200 (0.210) Data 0.043 (0.048) Loss 2.1834 (2.2902) Prec@1 50.391 (47.592) Prec@5 75.391 (72.902)
Epoch: [53][4680/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.0950 (2.2900) Prec@1 45.703 (47.595) Prec@5 77.734 (72.904)
Epoch: [53][4690/5005] Time 0.210 (0.210) Data 0.041 (0.048) Loss 2.1953 (2.2900) Prec@1 49.219 (47.595) Prec@5 73.828 (72.903)
Epoch: [53][4700/5005] Time 0.212 (0.210) Data 0.042 (0.048) Loss 2.1238 (2.2900) Prec@1 52.734 (47.598) Prec@5 77.344 (72.904)
Epoch: [53][4710/5005] Time 0.215 (0.210) Data 0.042 (0.048) Loss 2.0574 (2.2897) Prec@1 54.297 (47.602) Prec@5 75.781 (72.908)
Epoch: [53][4720/5005] Time 0.207 (0.210) Data 0.042 (0.048) Loss 2.1151 (2.2897) Prec@1 52.344 (47.604) Prec@5 76.953 (72.908)
Epoch: [53][4730/5005] Time 0.205 (0.210) Data 0.041 (0.048) Loss 2.2327 (2.2899) Prec@1 51.172 (47.602) Prec@5 73.438 (72.906)
Epoch: [53][4740/5005] Time 0.213 (0.210) Data 0.042 (0.048) Loss 2.0755 (2.2898) Prec@1 47.266 (47.604) Prec@5 77.344 (72.908)
Epoch: [53][4750/5005] Time 0.204 (0.210) Data 0.043 (0.048) Loss 2.2414 (2.2898) Prec@1 47.266 (47.605) Prec@5 72.656 (72.909)
Epoch: [53][4760/5005] Time 0.210 (0.210) Data 0.041 (0.048) Loss 2.4335 (2.2896) Prec@1 46.875 (47.606) Prec@5 72.656 (72.911)
Epoch: [53][4770/5005] Time 0.218 (0.210) Data 0.048 (0.048) Loss 2.1620 (2.2895) Prec@1 51.562 (47.609) Prec@5 75.781 (72.913)
Epoch: [53][4780/5005] Time 0.219 (0.210) Data 0.047 (0.048) Loss 2.3967 (2.2895) Prec@1 44.531 (47.609) Prec@5 72.656 (72.915)
Epoch: [53][4790/5005] Time 0.201 (0.210) Data 0.048 (0.048) Loss 2.4921 (2.2895) Prec@1 44.141 (47.611) Prec@5 68.359 (72.914)
Epoch: [53][4800/5005] Time 0.206 (0.210) Data 0.042 (0.048) Loss 2.3276 (2.2895) Prec@1 46.875 (47.611) Prec@5 72.656 (72.915)
Epoch: [53][4810/5005] Time 0.203 (0.210) Data 0.044 (0.048) Loss 2.3639 (2.2894) Prec@1 47.266 (47.612) Prec@5 70.703 (72.916)
Epoch: [53][4820/5005] Time 0.205 (0.210) Data 0.044 (0.048) Loss 2.4708 (2.2893) Prec@1 43.359 (47.612) Prec@5 70.312 (72.919)
Epoch: [53][4830/5005] Time 0.198 (0.210) Data 0.043 (0.048) Loss 2.2990 (2.2892) Prec@1 49.219 (47.616) Prec@5 72.266 (72.920)
Epoch: [53][4840/5005] Time 0.198 (0.209) Data 0.049 (0.048) Loss 2.0512 (2.2892) Prec@1 53.125 (47.615) Prec@5 74.609 (72.919)
Epoch: [53][4850/5005] Time 0.196 (0.209) Data 0.050 (0.048) Loss 2.3392 (2.2893) Prec@1 44.141 (47.616) Prec@5 71.875 (72.919)
Epoch: [53][4860/5005] Time 0.203 (0.209) Data 0.043 (0.048) Loss 2.3875 (2.2893) Prec@1 46.875 (47.616) Prec@5 73.828 (72.920)
Epoch: [53][4870/5005] Time 0.209 (0.209) Data 0.063 (0.048) Loss 2.1974 (2.2892) Prec@1 52.344 (47.617) Prec@5 74.609 (72.921)
Epoch: [53][4880/5005] Time 0.211 (0.209) Data 0.045 (0.048) Loss 2.2462 (2.2892) Prec@1 49.609 (47.620) Prec@5 71.875 (72.923)
Epoch: [53][4890/5005] Time 0.206 (0.209) Data 0.042 (0.048) Loss 2.2925 (2.2890) Prec@1 45.312 (47.624) Prec@5 76.172 (72.926)
Epoch: [53][4900/5005] Time 0.209 (0.209) Data 0.043 (0.048) Loss 2.1819 (2.2889) Prec@1 48.047 (47.625) Prec@5 75.000 (72.927)
Epoch: [53][4910/5005] Time 0.211 (0.209) Data 0.042 (0.048) Loss 2.2830 (2.2887) Prec@1 46.875 (47.629) Prec@5 74.609 (72.931)
Epoch: [53][4920/5005] Time 0.212 (0.209) Data 0.058 (0.048) Loss 2.1171 (2.2886) Prec@1 48.047 (47.629) Prec@5 75.391 (72.933)
Epoch: [53][4930/5005] Time 0.208 (0.209) Data 0.057 (0.048) Loss 2.4686 (2.2884) Prec@1 44.141 (47.633) Prec@5 68.750 (72.937)
Epoch: [53][4940/5005] Time 0.218 (0.209) Data 0.041 (0.048) Loss 2.1876 (2.2884) Prec@1 50.000 (47.634) Prec@5 72.266 (72.937)
Epoch: [53][4950/5005] Time 0.213 (0.209) Data 0.053 (0.048) Loss 2.0583 (2.2884) Prec@1 48.047 (47.633) Prec@5 78.125 (72.936)
Epoch: [53][4960/5005] Time 0.210 (0.209) Data 0.047 (0.048) Loss 2.4430 (2.2884) Prec@1 44.531 (47.634) Prec@5 75.391 (72.938)
Epoch: [53][4970/5005] Time 0.207 (0.209) Data 0.050 (0.048) Loss 2.4588 (2.2883) Prec@1 43.359 (47.636) Prec@5 68.359 (72.940)
Epoch: [53][4980/5005] Time 0.211 (0.209) Data 0.042 (0.048) Loss 2.3663 (2.2882) Prec@1 45.703 (47.636) Prec@5 75.000 (72.942)
Epoch: [53][4990/5005] Time 0.200 (0.209) Data 0.028 (0.048) Loss 2.4213 (2.2882) Prec@1 43.750 (47.636) Prec@5 71.484 (72.941)
Epoch: [53][5000/5005] Time 0.206 (0.209) Data 0.020 (0.048) Loss 2.4097 (2.2882) Prec@1 45.312 (47.634) Prec@5 70.312 (72.939)
Test: [0/196] Time 1.475 (1.475) Loss 2.4940 (2.4940) Prec@1 43.750 (43.750) Prec@5 70.312 (70.312)
Test: [10/196] Time 0.775 (0.338) Loss 2.5413 (2.6074) Prec@1 48.438 (42.649) Prec@5 69.141 (68.217)
Test: [20/196] Time 0.443 (0.234) Loss 2.4757 (2.6074) Prec@1 42.969 (42.504) Prec@5 71.094 (68.434)
Test: [30/196] Time 0.044 (0.224) Loss 2.5015 (2.6138) Prec@1 44.141 (42.351) Prec@5 70.703 (68.196)
Test: [40/196] Time 0.045 (0.210) Loss 2.3375 (2.6054) Prec@1 50.781 (42.835) Prec@5 73.047 (68.388)
Test: [50/196] Time 0.044 (0.202) Loss 2.6803 (2.6096) Prec@1 42.578 (42.984) Prec@5 67.188 (68.359)
Test: [60/196] Time 0.262 (0.193) Loss 2.5260 (2.5942) Prec@1 46.875 (43.430) Prec@5 69.141 (68.750)
Test: [70/196] Time 0.042 (0.198) Loss 2.5828 (2.5886) Prec@1 45.312 (43.618) Prec@5 67.578 (68.789)
Test: [80/196] Time 0.368 (0.192) Loss 2.4583 (2.5935) Prec@1 48.047 (43.572) Prec@5 75.391 (68.822)
Test: [90/196] Time 0.710 (0.192) Loss 2.7244 (2.5968) Prec@1 42.578 (43.587) Prec@5 67.188 (68.763)
Test: [100/196] Time 0.042 (0.186) Loss 2.6358 (2.5937) Prec@1 45.312 (43.711) Prec@5 67.969 (68.808)
Test: [110/196] Time 0.782 (0.190) Loss 2.8081 (2.5967) Prec@1 37.891 (43.743) Prec@5 63.672 (68.806)
Test: [120/196] Time 0.181 (0.184) Loss 2.4383 (2.5921) Prec@1 46.094 (43.889) Prec@5 71.094 (68.879)
Test: [130/196] Time 0.042 (0.181) Loss 2.2789 (2.5892) Prec@1 47.266 (43.997) Prec@5 73.047 (68.938)
Test: [140/196] Time 0.852 (0.186) Loss 2.4188 (2.5899) Prec@1 46.484 (43.900) Prec@5 69.141 (68.944)
Test: [150/196] Time 0.043 (0.181) Loss 2.3009 (2.5893) Prec@1 47.656 (43.892) Prec@5 75.781 (68.954)
Test: [160/196] Time 1.205 (0.185) Loss 2.5484 (2.5875) Prec@1 48.828 (43.954) Prec@5 70.312 (68.964)
Test: [170/196] Time 0.058 (0.185) Loss 2.4697 (2.5896) Prec@1 45.312 (43.882) Prec@5 72.656 (68.937)
Test: [180/196] Time 0.245 (0.181) Loss 2.7543 (2.5938) Prec@1 39.062 (43.754) Prec@5 65.234 (68.895)
Test: [190/196] Time 0.044 (0.179) Loss 2.7876 (2.5966) Prec@1 41.797 (43.705) Prec@5 66.406 (68.815)
* Prec@1 43.672 Prec@5 68.858
Learning rate: 1e-05
Epoch: [54][0/5005] Time 1.112 (1.112) Data 0.992 (0.992) Loss 2.2767 (2.2767) Prec@1 48.828 (48.828) Prec@5 75.391 (75.391)
Epoch: [54][10/5005] Time 0.199 (0.284) Data 0.042 (0.136) Loss 2.2739 (2.3144) Prec@1 48.047 (46.484) Prec@5 73.438 (72.763)
Epoch: [54][20/5005] Time 0.206 (0.246) Data 0.044 (0.092) Loss 2.5084 (2.3184) Prec@1 43.750 (46.503) Prec@5 69.922 (72.935)
Epoch: [54][30/5005] Time 0.209 (0.233) Data 0.044 (0.077) Loss 2.2034 (2.2841) Prec@1 50.781 (47.392) Prec@5 71.484 (72.959)
Epoch: [54][40/5005] Time 0.206 (0.225) Data 0.041 (0.069) Loss 2.2549 (2.2936) Prec@1 50.391 (47.342) Prec@5 72.266 (72.732)
Epoch: [54][50/5005] Time 0.207 (0.222) Data 0.043 (0.064) Loss 2.2116 (2.2923) Prec@1 46.484 (47.120) Prec@5 74.219 (72.809)
Epoch: [54][60/5005] Time 0.207 (0.219) Data 0.044 (0.061) Loss 2.2271 (2.2906) Prec@1 44.141 (46.926) Prec@5 73.047 (72.906)
Epoch: [54][70/5005] Time 0.209 (0.218) Data 0.044 (0.059) Loss 2.1788 (2.2947) Prec@1 50.000 (46.903) Prec@5 75.391 (72.832)
Epoch: [54][80/5005] Time 0.198 (0.216) Data 0.041 (0.057) Loss 2.0986 (2.2896) Prec@1 50.391 (46.981) Prec@5 76.172 (72.878)
Epoch: [54][90/5005] Time 0.197 (0.214) Data 0.049 (0.056) Loss 2.2630 (2.2888) Prec@1 46.094 (47.180) Prec@5 73.828 (72.888)
Epoch: [54][100/5005] Time 0.210 (0.213) Data 0.046 (0.055) Loss 2.1105 (2.2906) Prec@1 50.391 (47.142) Prec@5 76.953 (72.865)
Epoch: [54][110/5005] Time 0.196 (0.212) Data 0.045 (0.054) Loss 2.3208 (2.2933) Prec@1 46.484 (47.220) Prec@5 69.141 (72.797)
Epoch: [54][120/5005] Time 0.211 (0.212) Data 0.047 (0.053) Loss 2.3472 (2.2983) Prec@1 42.578 (47.214) Prec@5 74.609 (72.714)
Epoch: [54][130/5005] Time 0.203 (0.211) Data 0.043 (0.052) Loss 2.3817 (2.2982) Prec@1 47.266 (47.224) Prec@5 70.703 (72.719)
Epoch: [54][140/5005] Time 0.196 (0.210) Data 0.041 (0.052) Loss 2.3376 (2.2944) Prec@1 47.266 (47.282) Prec@5 72.266 (72.789)
Epoch: [54][150/5005] Time 0.208 (0.210) Data 0.042 (0.051) Loss 2.3105 (2.2933) Prec@1 49.219 (47.351) Prec@5 71.875 (72.788)
Epoch: [54][160/5005] Time 0.205 (0.210) Data 0.046 (0.051) Loss 2.1366 (2.2935) Prec@1 49.609 (47.389) Prec@5 77.344 (72.734)
Epoch: [54][170/5005] Time 0.214 (0.210) Data 0.046 (0.051) Loss 2.4171 (2.2945) Prec@1 48.828 (47.407) Prec@5 72.266 (72.722)
Epoch: [54][180/5005] Time 0.213 (0.211) Data 0.045 (0.050) Loss 2.4545 (2.2951) Prec@1 45.312 (47.406) Prec@5 67.578 (72.715)
Epoch: [54][190/5005] Time 0.223 (0.211) Data 0.045 (0.050) Loss 2.5657 (2.3016) Prec@1 44.922 (47.304) Prec@5 71.484 (72.695)
Epoch: [54][200/5005] Time 0.225 (0.212) Data 0.043 (0.050) Loss 2.4850 (2.3035) Prec@1 42.188 (47.219) Prec@5 69.922 (72.740)
Epoch: [54][210/5005] Time 0.220 (0.212) Data 0.051 (0.050) Loss 2.0694 (2.3016) Prec@1 53.125 (47.234) Prec@5 74.219 (72.769)
Epoch: [54][220/5005] Time 0.217 (0.212) Data 0.047 (0.050) Loss 2.3690 (2.3004) Prec@1 47.266 (47.273) Prec@5 71.484 (72.789)
Epoch: [54][230/5005] Time 0.217 (0.213) Data 0.052 (0.050) Loss 2.2233 (2.3007) Prec@1 48.047 (47.277) Prec@5 75.781 (72.810)
Epoch: [54][240/5005] Time 0.216 (0.213) Data 0.063 (0.050) Loss 2.2588 (2.2996) Prec@1 47.266 (47.293) Prec@5 71.484 (72.823)
Epoch: [54][250/5005] Time 0.219 (0.213) Data 0.048 (0.050) Loss 2.3576 (2.2975) Prec@1 46.484 (47.357) Prec@5 73.438 (72.890)
Epoch: [54][260/5005] Time 0.212 (0.213) Data 0.059 (0.050) Loss 2.1555 (2.2958) Prec@1 48.438 (47.414) Prec@5 73.828 (72.912)
Epoch: [54][270/5005] Time 0.224 (0.213) Data 0.059 (0.050) Loss 2.4520 (2.2965) Prec@1 45.312 (47.410) Prec@5 72.656 (72.943)
Epoch: [54][280/5005] Time 0.205 (0.213) Data 0.063 (0.050) Loss 2.6514 (2.2998) Prec@1 42.188 (47.367) Prec@5 68.359 (72.879)
Epoch: [54][290/5005] Time 0.221 (0.214) Data 0.044 (0.050) Loss 2.1612 (2.3021) Prec@1 51.562 (47.307) Prec@5 73.828 (72.858)
Epoch: [54][300/5005] Time 0.223 (0.214) Data 0.048 (0.050) Loss 2.2501 (2.3022) Prec@1 46.875 (47.342) Prec@5 71.875 (72.817)
Epoch: [54][310/5005] Time 0.219 (0.214) Data 0.043 (0.050) Loss 2.3346 (2.3020) Prec@1 46.875 (47.337) Prec@5 71.484 (72.833)
Epoch: [54][320/5005] Time 0.221 (0.214) Data 0.043 (0.050) Loss 2.5406 (2.3036) Prec@1 42.969 (47.326) Prec@5 70.312 (72.817)
Epoch: [54][330/5005] Time 0.222 (0.214) Data 0.046 (0.050) Loss 2.1814 (2.3030) Prec@1 47.266 (47.315) Prec@5 73.047 (72.839)
Epoch: [54][340/5005] Time 0.218 (0.214) Data 0.044 (0.049) Loss 2.4709 (2.3068) Prec@1 46.484 (47.290) Prec@5 71.094 (72.772)
Epoch: [54][350/5005] Time 0.210 (0.214) Data 0.058 (0.049) Loss 2.3946 (2.3063) Prec@1 44.141 (47.298) Prec@5 70.312 (72.776)
Epoch: [54][360/5005] Time 0.221 (0.214) Data 0.042 (0.049) Loss 2.4236 (2.3063) Prec@1 42.188 (47.301) Prec@5 69.141 (72.756)
Epoch: [54][370/5005] Time 0.214 (0.214) Data 0.045 (0.049) Loss 2.4485 (2.3046) Prec@1 46.094 (47.312) Prec@5 69.141 (72.763)
Epoch: [54][380/5005] Time 0.220 (0.214) Data 0.045 (0.049) Loss 2.4407 (2.3055) Prec@1 47.656 (47.280) Prec@5 66.406 (72.724)
Epoch: [54][390/5005] Time 0.214 (0.214) Data 0.046 (0.049) Loss 2.2157 (2.3057) Prec@1 53.125 (47.284) Prec@5 75.000 (72.719)
Epoch: [54][400/5005] Time 0.213 (0.214) Data 0.052 (0.049) Loss 2.1991 (2.3049) Prec@1 50.781 (47.284) Prec@5 76.953 (72.736)
Epoch: [54][410/5005] Time 0.219 (0.215) Data 0.049 (0.049) Loss 2.1166 (2.3048) Prec@1 51.172 (47.309) Prec@5 74.219 (72.716)
Epoch: [54][420/5005] Time 0.209 (0.215) Data 0.045 (0.049) Loss 2.1898 (2.3048) Prec@1 50.781 (47.326) Prec@5 76.953 (72.706)
Epoch: [54][430/5005] Time 0.217 (0.215) Data 0.048 (0.049) Loss 2.1309 (2.3042) Prec@1 49.609 (47.337) Prec@5 77.734 (72.715)
Epoch: [54][440/5005] Time 0.226 (0.215) Data 0.046 (0.049) Loss 2.2347 (2.3034) Prec@1 46.875 (47.335) Prec@5 73.047 (72.724)
Epoch: [54][450/5005] Time 0.206 (0.215) Data 0.051 (0.049) Loss 2.1581 (2.3049) Prec@1 47.656 (47.290) Prec@5 74.609 (72.698)
Epoch: [54][460/5005] Time 0.218 (0.215) Data 0.043 (0.049) Loss 2.4608 (2.3062) Prec@1 44.141 (47.250) Prec@5 69.141 (72.686)
Epoch: [54][470/5005] Time 0.214 (0.215) Data 0.050 (0.049) Loss 2.3787 (2.3078) Prec@1 47.266 (47.242) Prec@5 70.703 (72.650)
Epoch: [54][480/5005] Time 0.218 (0.215) Data 0.043 (0.049) Loss 2.3421 (2.3084) Prec@1 46.094 (47.224) Prec@5 69.922 (72.636)
Epoch: [54][490/5005] Time 0.216 (0.215) Data 0.047 (0.049) Loss 2.1897 (2.3087) Prec@1 48.828 (47.213) Prec@5 72.656 (72.630)
Epoch: [54][500/5005] Time 0.218 (0.215) Data 0.048 (0.049) Loss 2.4511 (2.3100) Prec@1 46.484 (47.204) Prec@5 69.141 (72.609)
Epoch: [54][510/5005] Time 0.214 (0.215) Data 0.046 (0.049) Loss 2.5992 (2.3107) Prec@1 43.359 (47.216) Prec@5 66.797 (72.594)
Epoch: [54][520/5005] Time 0.218 (0.215) Data 0.045 (0.049) Loss 2.2752 (2.3105) Prec@1 48.828 (47.210) Prec@5 73.047 (72.606)
Epoch: [54][530/5005] Time 0.215 (0.215) Data 0.047 (0.049) Loss 2.2411 (2.3100) Prec@1 45.312 (47.219) Prec@5 73.828 (72.611)
Epoch: [54][540/5005] Time 0.210 (0.215) Data 0.046 (0.049) Loss 2.5327 (2.3108) Prec@1 44.922 (47.200) Prec@5 67.969 (72.596)
Epoch: [54][550/5005] Time 0.220 (0.215) Data 0.044 (0.049) Loss 2.3616 (2.3110) Prec@1 43.750 (47.200) Prec@5 73.047 (72.592)
Epoch: [54][560/5005] Time 0.215 (0.215) Data 0.047 (0.049) Loss 2.3663 (2.3113) Prec@1 47.266 (47.204) Prec@5 71.875 (72.604)
Epoch: [54][570/5005] Time 0.213 (0.215) Data 0.044 (0.049) Loss 2.4694 (2.3121) Prec@1 43.750 (47.205) Prec@5 69.922 (72.582)
Epoch: [54][580/5005] Time 0.218 (0.215) Data 0.048 (0.049) Loss 2.4556 (2.3118) Prec@1 44.141 (47.202) Prec@5 69.922 (72.593)
Epoch: [54][590/5005] Time 0.220 (0.215) Data 0.048 (0.049) Loss 2.5585 (2.3123) Prec@1 37.500 (47.186) Prec@5 71.484 (72.585)
Epoch: [54][600/5005] Time 0.197 (0.215) Data 0.051 (0.049) Loss 2.2249 (2.3140) Prec@1 49.219 (47.146) Prec@5 75.391 (72.569)
Epoch: [54][610/5005] Time 0.223 (0.215) Data 0.054 (0.049) Loss 2.1892 (2.3134) Prec@1 53.516 (47.182) Prec@5 74.219 (72.569)
Epoch: [54][620/5005] Time 0.225 (0.215) Data 0.047 (0.049) Loss 2.2943 (2.3135) Prec@1 48.438 (47.195) Prec@5 74.219 (72.568)
Epoch: [54][630/5005] Time 0.215 (0.215) Data 0.047 (0.049) Loss 2.5154 (2.3132) Prec@1 45.703 (47.217) Prec@5 66.406 (72.564)
Epoch: [54][640/5005] Time 0.213 (0.215) Data 0.052 (0.049) Loss 2.1675 (2.3134) Prec@1 50.000 (47.206) Prec@5 75.391 (72.570)
Epoch: [54][650/5005] Time 0.223 (0.215) Data 0.043 (0.049) Loss 2.5029 (2.3145) Prec@1 44.141 (47.199) Prec@5 68.359 (72.562)
Epoch: [54][660/5005] Time 0.218 (0.215) Data 0.047 (0.049) Loss 2.4195 (2.3139) Prec@1 45.703 (47.209) Prec@5 71.875 (72.583)
Epoch: [54][670/5005] Time 0.217 (0.215) Data 0.044 (0.049) Loss 2.6469 (2.3137) Prec@1 42.578 (47.221) Prec@5 67.188 (72.590)
Epoch: [54][680/5005] Time 0.218 (0.215) Data 0.048 (0.049) Loss 2.3207 (2.3136) Prec@1 50.000 (47.234) Prec@5 72.266 (72.594)
Epoch: [54][690/5005] Time 0.195 (0.215) Data 0.052 (0.049) Loss 2.1038 (2.3127) Prec@1 50.781 (47.237) Prec@5 78.906 (72.612)
Epoch: [54][700/5005] Time 0.216 (0.215) Data 0.041 (0.049) Loss 2.4003 (2.3124) Prec@1 47.656 (47.238) Prec@5 67.578 (72.617)
Epoch: [54][710/5005] Time 0.213 (0.215) Data 0.044 (0.049) Loss 2.1979 (2.3129) Prec@1 47.266 (47.243) Prec@5 75.000 (72.601)
Epoch: [54][720/5005] Time 0.215 (0.215) Data 0.041 (0.049) Loss 2.0666 (2.3120) Prec@1 50.391 (47.265) Prec@5 78.125 (72.610)
Epoch: [54][730/5005] Time 0.216 (0.215) Data 0.043 (0.049) Loss 2.3851 (2.3121) Prec@1 46.484 (47.266) Prec@5 71.094 (72.609)
Epoch: [54][740/5005] Time 0.213 (0.215) Data 0.043 (0.049) Loss 2.4670 (2.3124) Prec@1 44.922 (47.263) Prec@5 65.234 (72.586)
Epoch: [54][750/5005] Time 0.208 (0.215) Data 0.042 (0.049) Loss 2.1570 (2.3120) Prec@1 48.828 (47.269) Prec@5 75.000 (72.590)
Epoch: [54][760/5005] Time 0.216 (0.215) Data 0.044 (0.048) Loss 2.3320 (2.3124) Prec@1 44.531 (47.249) Prec@5 70.312 (72.570)
Epoch: [54][770/5005] Time 0.219 (0.215) Data 0.042 (0.048) Loss 2.2211 (2.3108) Prec@1 46.875 (47.277) Prec@5 73.828 (72.603)
Epoch: [54][780/5005] Time 0.208 (0.215) Data 0.041 (0.048) Loss 2.3827 (2.3107) Prec@1 48.047 (47.284) Prec@5 70.312 (72.599)
Epoch: [54][790/5005] Time 0.205 (0.215) Data 0.045 (0.048) Loss 2.3711 (2.3104) Prec@1 46.875 (47.288) Prec@5 70.312 (72.615)
Epoch: [54][800/5005] Time 0.219 (0.215) Data 0.044 (0.048) Loss 2.1961 (2.3095) Prec@1 48.828 (47.303) Prec@5 73.438 (72.620)
Epoch: [54][810/5005] Time 0.218 (0.215) Data 0.043 (0.048) Loss 2.3404 (2.3099) Prec@1 48.828 (47.295) Prec@5 72.656 (72.623)
Epoch: [54][820/5005] Time 0.220 (0.215) Data 0.042 (0.048) Loss 2.4448 (2.3097) Prec@1 44.141 (47.309) Prec@5 72.266 (72.630)
Epoch: [54][830/5005] Time 0.213 (0.215) Data 0.044 (0.048) Loss 2.1786 (2.3093) Prec@1 50.000 (47.321) Prec@5 76.953 (72.637)
Epoch: [54][840/5005] Time 0.220 (0.215) Data 0.046 (0.048) Loss 2.3536 (2.3095) Prec@1 44.922 (47.306) Prec@5 71.484 (72.632)
Epoch: [54][850/5005] Time 0.215 (0.215) Data 0.044 (0.048) Loss 2.3949 (2.3094) Prec@1 44.141 (47.309) Prec@5 74.609 (72.635)
Epoch: [54][860/5005] Time 0.215 (0.215) Data 0.044 (0.048) Loss 2.3702 (2.3095) Prec@1 48.047 (47.319) Prec@5 69.141 (72.628)
Epoch: [54][870/5005] Time 0.215 (0.215) Data 0.045 (0.048) Loss 2.2545 (2.3084) Prec@1 44.531 (47.335) Prec@5 74.609 (72.643)
Epoch: [54][880/5005] Time 0.218 (0.215) Data 0.044 (0.048) Loss 2.1040 (2.3084) Prec@1 49.219 (47.332) Prec@5 74.609 (72.646)
Epoch: [54][890/5005] Time 0.207 (0.215) Data 0.044 (0.048) Loss 2.6356 (2.3081) Prec@1 42.578 (47.327) Prec@5 66.016 (72.655)
Epoch: [54][900/5005] Time 0.209 (0.215) Data 0.045 (0.048) Loss 2.2388 (2.3080) Prec@1 46.875 (47.332) Prec@5 73.438 (72.652)
Epoch: [54][910/5005] Time 0.215 (0.215) Data 0.043 (0.048) Loss 2.4404 (2.3079) Prec@1 44.922 (47.322) Prec@5 73.047 (72.657)
Epoch: [54][920/5005] Time 0.215 (0.215) Data 0.042 (0.048) Loss 2.3875 (2.3074) Prec@1 46.875 (47.337) Prec@5 74.609 (72.662)
Epoch: [54][930/5005] Time 0.219 (0.215) Data 0.044 (0.048) Loss 2.2226 (2.3070) Prec@1 48.828 (47.344) Prec@5 71.094 (72.659)
Epoch: [54][940/5005] Time 0.218 (0.215) Data 0.043 (0.048) Loss 2.1643 (2.3070) Prec@1 50.391 (47.348) Prec@5 76.172 (72.661)
Epoch: [54][950/5005] Time 0.211 (0.215) Data 0.047 (0.048) Loss 2.4483 (2.3078) Prec@1 44.922 (47.338) Prec@5 71.875 (72.651)
Epoch: [54][960/5005] Time 0.208 (0.215) Data 0.045 (0.048) Loss 2.5106 (2.3078) Prec@1 42.578 (47.336) Prec@5 69.531 (72.651)
Epoch: [54][970/5005] Time 0.213 (0.215) Data 0.044 (0.048) Loss 2.0797 (2.3075) Prec@1 51.562 (47.339) Prec@5 74.609 (72.647)
Epoch: [54][980/5005] Time 0.213 (0.215) Data 0.043 (0.048) Loss 2.2503 (2.3066) Prec@1 47.266 (47.346) Prec@5 72.656 (72.657)
Epoch: [54][990/5005] Time 0.214 (0.215) Data 0.045 (0.048) Loss 2.2642 (2.3072) Prec@1 45.703 (47.327) Prec@5 74.219 (72.647)
Epoch: [54][1000/5005] Time 0.217 (0.215) Data 0.043 (0.048) Loss 2.3335 (2.3070) Prec@1 47.656 (47.334) Prec@5 73.047 (72.649)
Epoch: [54][1010/5005] Time 0.212 (0.214) Data 0.044 (0.048) Loss 2.3233 (2.3070) Prec@1 47.656 (47.334) Prec@5 72.656 (72.653)
Epoch: [54][1020/5005] Time 0.215 (0.214) Data 0.045 (0.048) Loss 2.0966 (2.3076) Prec@1 52.344 (47.319) Prec@5 75.391 (72.641)
Epoch: [54][1030/5005] Time 0.217 (0.214) Data 0.043 (0.048) Loss 2.1368 (2.3070) Prec@1 49.219 (47.322) Prec@5 76.172 (72.652)
Epoch: [54][1040/5005] Time 0.194 (0.216) Data 0.049 (0.047) Loss 2.5331 (2.3070) Prec@1 40.625 (47.321) Prec@5 71.875 (72.645)
Epoch: [54][1050/5005] Time 0.198 (0.216) Data 0.040 (0.048) Loss 2.4908 (2.3073) Prec@1 44.922 (47.312) Prec@5 68.750 (72.639)
Epoch: [54][1060/5005] Time 0.207 (0.216) Data 0.044 (0.047) Loss 2.4191 (2.3078) Prec@1 44.922 (47.312) Prec@5 71.094 (72.632)
Epoch: [54][1070/5005] Time 0.206 (0.215) Data 0.056 (0.047) Loss 2.2908 (2.3081) Prec@1 43.359 (47.299) Prec@5 70.312 (72.621)
Epoch: [54][1080/5005] Time 0.218 (0.215) Data 0.054 (0.047) Loss 2.3050 (2.3085) Prec@1 46.875 (47.303) Prec@5 71.094 (72.616)
Epoch: [54][1090/5005] Time 0.217 (0.215) Data 0.048 (0.047) Loss 2.1740 (2.3083) Prec@1 51.172 (47.307) Prec@5 75.781 (72.624)
Epoch: [54][1100/5005] Time 0.221 (0.215) Data 0.043 (0.047) Loss 2.1422 (2.3076) Prec@1 49.219 (47.314) Prec@5 75.781 (72.635)
Epoch: [54][1110/5005] Time 0.215 (0.215) Data 0.046 (0.047) Loss 2.3845 (2.3075) Prec@1 46.484 (47.326) Prec@5 71.875 (72.632)
Epoch: [54][1120/5005] Time 0.214 (0.215) Data 0.043 (0.047) Loss 2.3287 (2.3066) Prec@1 48.438 (47.334) Prec@5 68.750 (72.640)
Epoch: [54][1130/5005] Time 0.211 (0.215) Data 0.044 (0.047) Loss 2.2875 (2.3066) Prec@1 49.609 (47.334) Prec@5 75.391 (72.647)
Epoch: [54][1140/5005] Time 0.218 (0.215) Data 0.044 (0.047) Loss 2.4117 (2.3064) Prec@1 44.922 (47.336) Prec@5 70.312 (72.651)
Epoch: [54][1150/5005] Time 0.213 (0.215) Data 0.043 (0.047) Loss 2.2709 (2.3059) Prec@1 46.094 (47.346) Prec@5 72.266 (72.663)
Epoch: [54][1160/5005] Time 0.204 (0.215) Data 0.048 (0.047) Loss 2.4132 (2.3060) Prec@1 44.922 (47.345) Prec@5 71.094 (72.659)
Epoch: [54][1170/5005] Time 0.203 (0.215) Data 0.045 (0.047) Loss 2.1240 (2.3056) Prec@1 48.047 (47.348) Prec@5 76.953 (72.670)
Epoch: [54][1180/5005] Time 0.203 (0.215) Data 0.057 (0.047) Loss 2.3573 (2.3057) Prec@1 45.703 (47.338) Prec@5 72.656 (72.671)
Epoch: [54][1190/5005] Time 0.207 (0.215) Data 0.058 (0.047) Loss 2.2487 (2.3052) Prec@1 48.047 (47.350) Prec@5 74.609 (72.677)
Epoch: [54][1200/5005] Time 0.224 (0.215) Data 0.043 (0.047) Loss 2.4968 (2.3052) Prec@1 44.531 (47.345) Prec@5 69.531 (72.677)
Epoch: [54][1210/5005] Time 0.212 (0.215) Data 0.057 (0.047) Loss 2.2826 (2.3058) Prec@1 45.703 (47.335) Prec@5 76.562 (72.669)
Epoch: [54][1220/5005] Time 0.200 (0.215) Data 0.045 (0.047) Loss 2.1503 (2.3056) Prec@1 50.000 (47.337) Prec@5 74.609 (72.676)
Epoch: [54][1230/5005] Time 0.209 (0.215) Data 0.048 (0.047) Loss 2.3980 (2.3056) Prec@1 50.391 (47.343) Prec@5 72.266 (72.674)
Epoch: [54][1240/5005] Time 0.206 (0.215) Data 0.042 (0.047) Loss 2.1853 (2.3056) Prec@1 48.047 (47.338) Prec@5 74.219 (72.670)
Epoch: [54][1250/5005] Time 0.210 (0.215) Data 0.043 (0.047) Loss 2.6058 (2.3059) Prec@1 44.531 (47.327) Prec@5 66.016 (72.661)
Epoch: [54][1260/5005] Time 0.205 (0.215) Data 0.042 (0.047) Loss 1.9908 (2.3052) Prec@1 51.562 (47.335) Prec@5 76.953 (72.671)
Epoch: [54][1270/5005] Time 0.208 (0.215) Data 0.048 (0.047) Loss 2.4153 (2.3059) Prec@1 43.359 (47.323) Prec@5 71.875 (72.663)
Epoch: [54][1280/5005] Time 0.198 (0.215) Data 0.060 (0.047) Loss 2.2332 (2.3058) Prec@1 50.000 (47.335) Prec@5 74.609 (72.664)
Epoch: [54][1290/5005] Time 0.201 (0.215) Data 0.045 (0.047) Loss 2.0242 (2.3052) Prec@1 55.078 (47.351) Prec@5 78.906 (72.672)
Epoch: [54][1300/5005] Time 0.210 (0.215) Data 0.043 (0.047) Loss 2.1793 (2.3051) Prec@1 51.562 (47.354) Prec@5 74.609 (72.679)
Epoch: [54][1310/5005] Time 0.208 (0.215) Data 0.044 (0.047) Loss 2.1754 (2.3046) Prec@1 49.219 (47.359) Prec@5 73.828 (72.688)
Epoch: [54][1320/5005] Time 0.206 (0.215) Data 0.062 (0.047) Loss 2.3923 (2.3045) Prec@1 47.656 (47.358) Prec@5 73.828 (72.690)
Epoch: [54][1330/5005] Time 0.208 (0.215) Data 0.056 (0.047) Loss 2.4416 (2.3051) Prec@1 42.578 (47.346) Prec@5 71.094 (72.683)
Epoch: [54][1340/5005] Time 0.211 (0.215) Data 0.044 (0.047) Loss 2.1656 (2.3050) Prec@1 48.438 (47.350) Prec@5 73.047 (72.685)
Epoch: [54][1350/5005] Time 0.214 (0.215) Data 0.045 (0.047) Loss 2.7261 (2.3052) Prec@1 43.750 (47.354) Prec@5 67.969 (72.679)
Epoch: [54][1360/5005] Time 0.212 (0.214) Data 0.057 (0.047) Loss 2.2006 (2.3048) Prec@1 51.172 (47.352) Prec@5 72.656 (72.682)
Epoch: [54][1370/5005] Time 0.207 (0.214) Data 0.060 (0.047) Loss 2.3774 (2.3046) Prec@1 47.266 (47.351) Prec@5 70.312 (72.684)
Epoch: [54][1380/5005] Time 0.218 (0.214) Data 0.043 (0.048) Loss 2.3361 (2.3044) Prec@1 47.266 (47.358) Prec@5 74.219 (72.688)
Epoch: [54][1390/5005] Time 0.204 (0.214) Data 0.057 (0.048) Loss 2.1567 (2.3046) Prec@1 51.953 (47.357) Prec@5 74.219 (72.683)
Epoch: [54][1400/5005] Time 0.212 (0.214) Data 0.055 (0.048) Loss 2.3326 (2.3038) Prec@1 48.828 (47.367) Prec@5 69.531 (72.697)
Epoch: [54][1410/5005] Time 0.203 (0.214) Data 0.049 (0.048) Loss 2.2272 (2.3037) Prec@1 50.391 (47.368) Prec@5 76.562 (72.697)
Epoch: [54][1420/5005] Time 0.202 (0.214) Data 0.059 (0.048) Loss 2.3912 (2.3034) Prec@1 48.828 (47.376) Prec@5 71.094 (72.700)
Epoch: [54][1430/5005] Time 0.211 (0.214) Data 0.044 (0.048) Loss 2.0119 (2.3032) Prec@1 53.906 (47.382) Prec@5 75.391 (72.702)
Epoch: [54][1440/5005] Time 0.206 (0.214) Data 0.042 (0.048) Loss 2.0259 (2.3028) Prec@1 51.562 (47.386) Prec@5 77.734 (72.704)
Epoch: [54][1450/5005] Time 0.205 (0.214) Data 0.044 (0.048) Loss 2.1424 (2.3027) Prec@1 53.906 (47.387) Prec@5 73.438 (72.697)
Epoch: [54][1460/5005] Time 0.198 (0.214) Data 0.058 (0.048) Loss 2.3839 (2.3026) Prec@1 45.312 (47.389) Prec@5 71.094 (72.699)
Epoch: [54][1470/5005] Time 0.208 (0.214) Data 0.049 (0.048) Loss 2.4061 (2.3029) Prec@1 46.875 (47.389) Prec@5 72.656 (72.693)
Epoch: [54][1480/5005] Time 0.208 (0.214) Data 0.057 (0.048) Loss 2.1633 (2.3031) Prec@1 53.516 (47.384) Prec@5 76.562 (72.689)
Epoch: [54][1490/5005] Time 0.199 (0.214) Data 0.059 (0.048) Loss 2.5808 (2.3030) Prec@1 44.141 (47.390) Prec@5 69.141 (72.695)
Epoch: [54][1500/5005] Time 0.201 (0.214) Data 0.051 (0.048) Loss 2.3857 (2.3027) Prec@1 46.484 (47.399) Prec@5 70.703 (72.699)
Epoch: [54][1510/5005] Time 0.207 (0.214) Data 0.052 (0.048) Loss 2.2319 (2.3026) Prec@1 45.312 (47.397) Prec@5 73.047 (72.699)
Epoch: [54][1520/5005] Time 0.211 (0.214) Data 0.054 (0.048) Loss 2.4809 (2.3023) Prec@1 46.094 (47.404) Prec@5 71.094 (72.704)
Epoch: [54][1530/5005] Time 0.212 (0.214) Data 0.042 (0.048) Loss 2.4437 (2.3025) Prec@1 47.656 (47.405) Prec@5 71.094 (72.700)
Epoch: [54][1540/5005] Time 0.194 (0.214) Data 0.054 (0.048) Loss 2.5437 (2.3028) Prec@1 41.797 (47.392) Prec@5 66.406 (72.690)
Epoch: [54][1550/5005] Time 0.217 (0.214) Data 0.044 (0.048) Loss 2.1668 (2.3024) Prec@1 53.125 (47.400) Prec@5 77.344 (72.697)
Epoch: [54][1560/5005] Time 0.218 (0.214) Data 0.044 (0.048) Loss 2.1035 (2.3025) Prec@1 52.344 (47.400) Prec@5 74.609 (72.699)
Epoch: [54][1570/5005] Time 0.210 (0.214) Data 0.040 (0.048) Loss 2.0894 (2.3022) Prec@1 52.344 (47.406) Prec@5 77.344 (72.703)
Epoch: [54][1580/5005] Time 0.205 (0.214) Data 0.046 (0.048) Loss 2.1415 (2.3024) Prec@1 47.656 (47.396) Prec@5 77.344 (72.702)
Epoch: [54][1590/5005] Time 0.215 (0.214) Data 0.042 (0.048) Loss 2.1943 (2.3025) Prec@1 50.391 (47.391) Prec@5 72.656 (72.699)
Epoch: [54][1600/5005] Time 0.213 (0.214) Data 0.048 (0.048) Loss 2.2755 (2.3025) Prec@1 48.438 (47.390) Prec@5 73.438 (72.698)
Epoch: [54][1610/5005] Time 0.214 (0.214) Data 0.049 (0.048) Loss 2.4525 (2.3025) Prec@1 45.703 (47.382) Prec@5 73.047 (72.703)
Epoch: [54][1620/5005] Time 0.213 (0.214) Data 0.044 (0.048) Loss 2.3863 (2.3023) Prec@1 46.094 (47.381) Prec@5 71.094 (72.710)
Epoch: [54][1630/5005] Time 0.220 (0.214) Data 0.048 (0.048) Loss 2.1624 (2.3023) Prec@1 50.391 (47.383) Prec@5 76.562 (72.712)
Epoch: [54][1640/5005] Time 0.200 (0.214) Data 0.048 (0.048) Loss 2.3128 (2.3026) Prec@1 48.438 (47.374) Prec@5 68.359 (72.709)
Epoch: [54][1650/5005] Time 0.202 (0.214) Data 0.047 (0.048) Loss 2.4877 (2.3027) Prec@1 43.359 (47.374) Prec@5 66.016 (72.703)
Epoch: [54][1660/5005] Time 0.207 (0.214) Data 0.045 (0.048) Loss 2.1426 (2.3022) Prec@1 52.344 (47.386) Prec@5 76.172 (72.711)
Epoch: [54][1670/5005] Time 0.212 (0.214) Data 0.043 (0.048) Loss 2.0539 (2.3024) Prec@1 51.562 (47.389) Prec@5 75.391 (72.708)
Epoch: [54][1680/5005] Time 0.207 (0.213) Data 0.050 (0.048) Loss 2.5138 (2.3026) Prec@1 46.875 (47.392) Prec@5 69.531 (72.705)
Epoch: [54][1690/5005] Time 0.217 (0.213) Data 0.051 (0.048) Loss 2.0588 (2.3023) Prec@1 51.562 (47.398) Prec@5 78.516 (72.714)
Epoch: [54][1700/5005] Time 0.205 (0.213) Data 0.051 (0.048) Loss 2.2303 (2.3018) Prec@1 49.609 (47.406) Prec@5 73.828 (72.725)
Epoch: [54][1710/5005] Time 0.207 (0.213) Data 0.048 (0.048) Loss 2.1960 (2.3016) Prec@1 50.000 (47.407) Prec@5 73.047 (72.723)
Epoch: [54][1720/5005] Time 0.208 (0.213) Data 0.046 (0.048) Loss 2.3198 (2.3016) Prec@1 48.828 (47.405) Prec@5 71.484 (72.724)
Epoch: [54][1730/5005] Time 0.201 (0.213) Data 0.041 (0.048) Loss 2.2256 (2.3015) Prec@1 47.266 (47.397) Prec@5 76.953 (72.733)
Epoch: [54][1740/5005] Time 0.211 (0.213) Data 0.047 (0.048) Loss 2.4189 (2.3012) Prec@1 40.625 (47.401) Prec@5 69.141 (72.737)
Epoch: [54][1750/5005] Time 0.211 (0.213) Data 0.049 (0.048) Loss 2.2833 (2.3010) Prec@1 44.141 (47.408) Prec@5 71.875 (72.737)
Epoch: [54][1760/5005] Time 0.226 (0.213) Data 0.045 (0.048) Loss 2.0896 (2.3006) Prec@1 50.000 (47.418) Prec@5 77.344 (72.743)
Epoch: [54][1770/5005] Time 0.200 (0.213) Data 0.050 (0.048) Loss 2.4013 (2.3003) Prec@1 44.922 (47.420) Prec@5 71.875 (72.749)
Epoch: [54][1780/5005] Time 0.213 (0.213) Data 0.047 (0.048) Loss 2.1921 (2.3004) Prec@1 46.875 (47.413) Prec@5 77.344 (72.745)
Epoch: [54][1790/5005] Time 0.209 (0.213) Data 0.046 (0.048) Loss 2.1911 (2.3001) Prec@1 49.609 (47.411) Prec@5 70.703 (72.741)
Epoch: [54][1800/5005] Time 0.216 (0.213) Data 0.047 (0.048) Loss 2.2669 (2.3001) Prec@1 49.219 (47.409) Prec@5 75.391 (72.741)
Epoch: [54][1810/5005] Time 0.219 (0.213) Data 0.041 (0.048) Loss 2.1339 (2.2998) Prec@1 53.516 (47.412) Prec@5 76.172 (72.744)
Epoch: [54][1820/5005] Time 0.202 (0.213) Data 0.047 (0.048) Loss 2.2370 (2.2995) Prec@1 46.484 (47.418) Prec@5 75.781 (72.754)
Epoch: [54][1830/5005] Time 0.200 (0.213) Data 0.050 (0.048) Loss 2.0330 (2.2991) Prec@1 54.297 (47.423) Prec@5 76.562 (72.754)
Epoch: [54][1840/5005] Time 0.214 (0.213) Data 0.042 (0.048) Loss 2.3527 (2.2986) Prec@1 45.312 (47.435) Prec@5 72.266 (72.761)
Epoch: [54][1850/5005] Time 0.211 (0.213) Data 0.044 (0.048) Loss 2.2179 (2.2982) Prec@1 48.828 (47.443) Prec@5 75.000 (72.773)
Epoch: [54][1860/5005] Time 0.199 (0.213) Data 0.042 (0.048) Loss 2.2150 (2.2983) Prec@1 51.953 (47.448) Prec@5 73.828 (72.772)
Epoch: [54][1870/5005] Time 0.204 (0.213) Data 0.043 (0.048) Loss 2.5955 (2.2987) Prec@1 40.234 (47.442) Prec@5 66.406 (72.766)
Epoch: [54][1880/5005] Time 0.215 (0.213) Data 0.043 (0.048) Loss 2.2537 (2.2988) Prec@1 50.000 (47.445) Prec@5 73.828 (72.760)
Epoch: [54][1890/5005] Time 0.209 (0.213) Data 0.040 (0.048) Loss 2.3772 (2.2988) Prec@1 42.188 (47.446) Prec@5 69.922 (72.762)
Epoch: [54][1900/5005] Time 0.216 (0.213) Data 0.045 (0.048) Loss 2.3239 (2.2992) Prec@1 48.438 (47.439) Prec@5 74.219 (72.759)
Epoch: [54][1910/5005] Time 0.203 (0.213) Data 0.047 (0.048) Loss 2.1417 (2.2991) Prec@1 49.219 (47.436) Prec@5 76.562 (72.760)
Epoch: [54][1920/5005] Time 0.200 (0.213) Data 0.043 (0.048) Loss 2.1607 (2.2987) Prec@1 52.344 (47.443) Prec@5 75.000 (72.768)
Epoch: [54][1930/5005] Time 0.211 (0.213) Data 0.041 (0.048) Loss 2.1353 (2.2984) Prec@1 50.000 (47.449) Prec@5 73.828 (72.777)
Epoch: [54][1940/5005] Time 0.207 (0.213) Data 0.044 (0.048) Loss 2.1042 (2.2981) Prec@1 50.000 (47.448) Prec@5 77.344 (72.787)
Epoch: [54][1950/5005] Time 0.209 (0.213) Data 0.047 (0.048) Loss 2.4526 (2.2981) Prec@1 44.531 (47.447) Prec@5 68.750 (72.785)
Epoch: [54][1960/5005] Time 0.206 (0.213) Data 0.045 (0.048) Loss 2.2884 (2.2979) Prec@1 45.703 (47.454) Prec@5 71.875 (72.787)
Epoch: [54][1970/5005] Time 0.200 (0.213) Data 0.048 (0.048) Loss 2.2007 (2.2980) Prec@1 49.609 (47.451) Prec@5 74.609 (72.790)
Epoch: [54][1980/5005] Time 0.214 (0.213) Data 0.045 (0.048) Loss 2.1005 (2.2978) Prec@1 48.828 (47.453) Prec@5 75.781 (72.793)
Epoch: [54][1990/5005] Time 0.207 (0.213) Data 0.042 (0.048) Loss 2.1833 (2.2975) Prec@1 51.562 (47.461) Prec@5 72.656 (72.801)
Epoch: [54][2000/5005] Time 0.195 (0.213) Data 0.054 (0.048) Loss 2.1192 (2.2978) Prec@1 52.734 (47.457) Prec@5 75.781 (72.795)
Epoch: [54][2010/5005] Time 0.209 (0.213) Data 0.043 (0.048) Loss 2.0961 (2.2978) Prec@1 51.172 (47.458) Prec@5 76.172 (72.795)
Epoch: [54][2020/5005] Time 0.215 (0.213) Data 0.047 (0.048) Loss 2.3566 (2.2981) Prec@1 45.703 (47.453) Prec@5 70.312 (72.785)
Epoch: [54][2030/5005] Time 0.205 (0.213) Data 0.039 (0.048) Loss 2.2030 (2.2981) Prec@1 47.266 (47.453) Prec@5 78.125 (72.784)
Epoch: [54][2040/5005] Time 0.213 (0.213) Data 0.042 (0.048) Loss 2.0960 (2.2977) Prec@1 48.828 (47.461) Prec@5 74.219 (72.788)
Epoch: [54][2050/5005] Time 0.212 (0.213) Data 0.041 (0.048) Loss 2.4516 (2.2975) Prec@1 47.656 (47.466) Prec@5 69.922 (72.795)
Epoch: [54][2060/5005] Time 0.206 (0.213) Data 0.050 (0.048) Loss 2.2351 (2.2974) Prec@1 48.047 (47.461) Prec@5 74.219 (72.798)
Epoch: [54][2070/5005] Time 0.208 (0.213) Data 0.045 (0.048) Loss 2.5321 (2.2976) Prec@1 45.312 (47.459) Prec@5 68.750 (72.792)
Epoch: [54][2080/5005] Time 0.200 (0.213) Data 0.051 (0.048) Loss 2.2784 (2.2975) Prec@1 46.484 (47.457) Prec@5 75.391 (72.793)
Epoch: [54][2090/5005] Time 0.215 (0.213) Data 0.046 (0.048) Loss 2.1783 (2.2970) Prec@1 48.438 (47.466) Prec@5 73.438 (72.799)
Epoch: [54][2100/5005] Time 0.212 (0.213) Data 0.044 (0.048) Loss 2.2734 (2.2967) Prec@1 47.656 (47.474) Prec@5 73.047 (72.803)
Epoch: [54][2110/5005] Time 0.202 (0.213) Data 0.050 (0.048) Loss 2.1576 (2.2965) Prec@1 51.953 (47.480) Prec@5 74.219 (72.802)
Epoch: [54][2120/5005] Time 0.204 (0.213) Data 0.040 (0.048) Loss 2.2807 (2.2964) Prec@1 48.828 (47.485) Prec@5 69.922 (72.803)
Epoch: [54][2130/5005] Time 0.212 (0.213) Data 0.045 (0.048) Loss 2.1728 (2.2960) Prec@1 49.609 (47.492) Prec@5 74.219 (72.814)
Epoch: [54][2140/5005] Time 0.202 (0.213) Data 0.047 (0.048) Loss 2.2913 (2.2959) Prec@1 48.438 (47.496) Prec@5 73.047 (72.813)
Epoch: [54][2150/5005] Time 0.201 (0.213) Data 0.045 (0.048) Loss 2.1514 (2.2960) Prec@1 46.484 (47.493) Prec@5 74.219 (72.813)
Epoch: [54][2160/5005] Time 0.214 (0.212) Data 0.044 (0.048) Loss 2.1852 (2.2959) Prec@1 46.875 (47.494) Prec@5 76.562 (72.814)
Epoch: [54][2170/5005] Time 0.219 (0.212) Data 0.041 (0.048) Loss 2.1704 (2.2956) Prec@1 46.875 (47.501) Prec@5 76.562 (72.820)
Epoch: [54][2180/5005] Time 0.213 (0.212) Data 0.043 (0.047) Loss 2.4377 (2.2957) Prec@1 48.047 (47.501) Prec@5 68.750 (72.817)
Epoch: [54][2190/5005] Time 0.211 (0.212) Data 0.045 (0.047) Loss 2.6021 (2.2958) Prec@1 42.578 (47.499) Prec@5 67.188 (72.814)
Epoch: [54][2200/5005] Time 0.211 (0.212) Data 0.066 (0.048) Loss 2.2274 (2.2959) Prec@1 46.875 (47.494) Prec@5 70.312 (72.812)
Epoch: [54][2210/5005] Time 0.211 (0.212) Data 0.051 (0.048) Loss 2.5073 (2.2962) Prec@1 44.922 (47.491) Prec@5 69.531 (72.807)
Epoch: [54][2220/5005] Time 0.205 (0.212) Data 0.051 (0.048) Loss 2.5125 (2.2960) Prec@1 47.656 (47.496) Prec@5 65.234 (72.808)
Epoch: [54][2230/5005] Time 0.208 (0.212) Data 0.046 (0.048) Loss 2.2627 (2.2960) Prec@1 48.047 (47.496) Prec@5 73.828 (72.812)
Epoch: [54][2240/5005] Time 0.201 (0.212) Data 0.041 (0.048) Loss 2.3501 (2.2962) Prec@1 47.266 (47.489) Prec@5 73.828 (72.809)
Epoch: [54][2250/5005] Time 0.204 (0.212) Data 0.054 (0.048) Loss 2.1499 (2.2963) Prec@1 47.266 (47.488) Prec@5 73.047 (72.805)
Epoch: [54][2260/5005] Time 0.215 (0.212) Data 0.046 (0.048) Loss 2.1708 (2.2960) Prec@1 48.047 (47.490) Prec@5 71.875 (72.811)
Epoch: [54][2270/5005] Time 0.203 (0.212) Data 0.046 (0.048) Loss 2.4363 (2.2958) Prec@1 44.141 (47.496) Prec@5 71.094 (72.813)
Epoch: [54][2280/5005] Time 0.207 (0.212) Data 0.050 (0.048) Loss 2.2795 (2.2958) Prec@1 47.656 (47.496) Prec@5 74.219 (72.814)
Epoch: [54][2290/5005] Time 0.207 (0.212) Data 0.048 (0.048) Loss 2.2365 (2.2958) Prec@1 48.438 (47.499) Prec@5 75.781 (72.816)
Epoch: [54][2300/5005] Time 0.199 (0.212) Data 0.059 (0.048) Loss 2.1958 (2.2957) Prec@1 46.484 (47.499) Prec@5 71.875 (72.820)
Epoch: [54][2310/5005] Time 0.206 (0.212) Data 0.050 (0.048) Loss 2.0652 (2.2957) Prec@1 56.250 (47.506) Prec@5 76.562 (72.821)
Epoch: [54][2320/5005] Time 0.218 (0.212) Data 0.043 (0.048) Loss 2.3692 (2.2956) Prec@1 46.094 (47.509) Prec@5 71.484 (72.823)
Epoch: [54][2330/5005] Time 0.209 (0.212) Data 0.042 (0.048) Loss 2.2117 (2.2954) Prec@1 48.828 (47.514) Prec@5 73.438 (72.827)
Epoch: [54][2340/5005] Time 0.223 (0.212) Data 0.041 (0.048) Loss 2.1545 (2.2950) Prec@1 47.656 (47.513) Prec@5 73.047 (72.833)
Epoch: [54][2350/5005] Time 0.200 (0.212) Data 0.044 (0.048) Loss 2.2806 (2.2951) Prec@1 46.484 (47.511) Prec@5 73.828 (72.832)
Epoch: [54][2360/5005] Time 0.205 (0.212) Data 0.048 (0.048) Loss 2.3653 (2.2952) Prec@1 45.703 (47.508) Prec@5 72.656 (72.832)
Epoch: [54][2370/5005] Time 0.202 (0.212) Data 0.056 (0.048) Loss 2.3851 (2.2953) Prec@1 46.484 (47.507) Prec@5 72.656 (72.832)
Epoch: [54][2380/5005] Time 0.215 (0.212) Data 0.044 (0.048) Loss 2.3654 (2.2951) Prec@1 44.922 (47.515) Prec@5 70.312 (72.838)
Epoch: [54][2390/5005] Time 0.221 (0.212) Data 0.042 (0.048) Loss 2.3797 (2.2948) Prec@1 46.094 (47.518) Prec@5 71.094 (72.844)
Epoch: [54][2400/5005] Time 0.210 (0.212) Data 0.062 (0.048) Loss 2.3155 (2.2948) Prec@1 46.094 (47.514) Prec@5 73.828 (72.844)
Epoch: [54][2410/5005] Time 0.214 (0.212) Data 0.046 (0.048) Loss 2.3913 (2.2948) Prec@1 46.484 (47.516) Prec@5 72.266 (72.846)
Epoch: [54][2420/5005] Time 0.210 (0.212) Data 0.051 (0.048) Loss 2.3309 (2.2947) Prec@1 48.047 (47.520) Prec@5 71.875 (72.846)
Epoch: [54][2430/5005] Time 0.210 (0.212) Data 0.044 (0.048) Loss 2.1839 (2.2948) Prec@1 48.828 (47.519) Prec@5 74.609 (72.844)
Epoch: [54][2440/5005] Time 0.205 (0.212) Data 0.046 (0.048) Loss 2.1860 (2.2948) Prec@1 49.609 (47.521) Prec@5 73.828 (72.842)
Epoch: [54][2450/5005] Time 0.211 (0.212) Data 0.046 (0.048) Loss 2.2358 (2.2948) Prec@1 44.922 (47.517) Prec@5 71.875 (72.838)
Epoch: [54][2460/5005] Time 0.212 (0.212) Data 0.044 (0.048) Loss 2.1673 (2.2946) Prec@1 51.562 (47.520) Prec@5 75.000 (72.842)
Epoch: [54][2470/5005] Time 0.201 (0.212) Data 0.049 (0.048) Loss 2.1603 (2.2945) Prec@1 46.484 (47.519) Prec@5 72.656 (72.844)
Epoch: [54][2480/5005] Time 0.212 (0.212) Data 0.043 (0.048) Loss 2.4162 (2.2948) Prec@1 44.922 (47.513) Prec@5 69.922 (72.837)
Epoch: [54][2490/5005] Time 0.211 (0.212) Data 0.045 (0.048) Loss 2.1163 (2.2949) Prec@1 48.047 (47.509) Prec@5 75.391 (72.834)
Epoch: [54][2500/5005] Time 0.209 (0.212) Data 0.045 (0.048) Loss 2.3975 (2.2949) Prec@1 46.094 (47.508) Prec@5 69.531 (72.832)
Epoch: [54][2510/5005] Time 0.210 (0.212) Data 0.048 (0.048) Loss 2.4186 (2.2949) Prec@1 44.141 (47.504) Prec@5 73.047 (72.833)
Epoch: [54][2520/5005] Time 0.204 (0.212) Data 0.041 (0.048) Loss 2.2335 (2.2948) Prec@1 46.875 (47.504) Prec@5 73.438 (72.833)
Epoch: [54][2530/5005] Time 0.209 (0.212) Data 0.042 (0.048) Loss 2.6493 (2.2950) Prec@1 39.453 (47.501) Prec@5 68.359 (72.832)
Epoch: [54][2540/5005] Time 0.214 (0.212) Data 0.045 (0.047) Loss 2.2500 (2.2950) Prec@1 46.875 (47.502) Prec@5 73.828 (72.833)
Epoch: [54][2550/5005] Time 0.196 (0.212) Data 0.058 (0.048) Loss 2.1244 (2.2949) Prec@1 48.047 (47.502) Prec@5 76.953 (72.834)
Epoch: [54][2560/5005] Time 0.206 (0.212) Data 0.062 (0.048) Loss 2.4464 (2.2951) Prec@1 42.969 (47.503) Prec@5 71.094 (72.832)
Epoch: [54][2570/5005] Time 0.207 (0.212) Data 0.050 (0.048) Loss 2.1331 (2.2951) Prec@1 50.000 (47.503) Prec@5 76.562 (72.832)
Epoch: [54][2580/5005] Time 0.204 (0.212) Data 0.049 (0.048) Loss 2.3369 (2.2954) Prec@1 49.219 (47.500) Prec@5 70.703 (72.826)
Epoch: [54][2590/5005] Time 0.205 (0.212) Data 0.064 (0.048) Loss 2.4581 (2.2951) Prec@1 46.875 (47.508) Prec@5 69.141 (72.829)
Epoch: [54][2600/5005] Time 0.209 (0.212) Data 0.054 (0.048) Loss 2.3118 (2.2953) Prec@1 43.359 (47.502) Prec@5 75.391 (72.825)
Epoch: [54][2610/5005] Time 0.204 (0.212) Data 0.048 (0.048) Loss 2.4466 (2.2951) Prec@1 47.266 (47.507) Prec@5 70.312 (72.829)
Epoch: [54][2620/5005] Time 0.210 (0.212) Data 0.042 (0.048) Loss 2.3456 (2.2950) Prec@1 44.531 (47.508) Prec@5 69.922 (72.828)
Epoch: [54][2630/5005] Time 0.212 (0.212) Data 0.048 (0.048) Loss 2.4905 (2.2953) Prec@1 41.406 (47.505) Prec@5 72.656 (72.824)
Epoch: [54][2640/5005] Time 0.216 (0.212) Data 0.044 (0.048) Loss 2.3536 (2.2954) Prec@1 46.094 (47.502) Prec@5 71.094 (72.822)
Epoch: [54][2650/5005] Time 0.215 (0.212) Data 0.042 (0.048) Loss 2.3860 (2.2954) Prec@1 44.531 (47.503) Prec@5 68.359 (72.820)
Epoch: [54][2660/5005] Time 0.210 (0.212) Data 0.047 (0.048) Loss 2.2307 (2.2954) Prec@1 45.703 (47.503) Prec@5 75.391 (72.818)
Epoch: [54][2670/5005] Time 0.202 (0.212) Data 0.049 (0.048) Loss 2.0306 (2.2952) Prec@1 48.438 (47.505) Prec@5 75.391 (72.821)
Epoch: [54][2680/5005] Time 0.206 (0.212) Data 0.044 (0.048) Loss 2.1985 (2.2951) Prec@1 50.391 (47.506) Prec@5 75.391 (72.824)
Epoch: [54][2690/5005] Time 0.214 (0.212) Data 0.044 (0.048) Loss 2.1555 (2.2950) Prec@1 51.172 (47.512) Prec@5 76.172 (72.824)
Epoch: [54][2700/5005] Time 0.213 (0.212) Data 0.045 (0.048) Loss 2.2686 (2.2952) Prec@1 48.828 (47.511) Prec@5 71.875 (72.821)
Epoch: [54][2710/5005] Time 0.208 (0.212) Data 0.041 (0.048) Loss 2.1087 (2.2953) Prec@1 50.391 (47.507) Prec@5 73.047 (72.819)
Epoch: [54][2720/5005] Time 0.217 (0.212) Data 0.043 (0.048) Loss 2.0294 (2.2953) Prec@1 52.344 (47.502) Prec@5 77.344 (72.822)
Epoch: [54][2730/5005] Time 0.208 (0.212) Data 0.045 (0.048) Loss 2.3250 (2.2951) Prec@1 50.000 (47.509) Prec@5 68.359 (72.825)
Epoch: [54][2740/5005] Time 0.213 (0.212) Data 0.045 (0.048) Loss 2.3053 (2.2951) Prec@1 48.438 (47.508) Prec@5 75.000 (72.826)
Epoch: [54][2750/5005] Time 0.211 (0.212) Data 0.043 (0.048) Loss 2.1373 (2.2949) Prec@1 48.828 (47.514) Prec@5 76.172 (72.829)
Epoch: [54][2760/5005] Time 0.204 (0.212) Data 0.044 (0.048) Loss 2.2785 (2.2948) Prec@1 51.953 (47.516) Prec@5 71.094 (72.832)
Epoch: [54][2770/5005] Time 0.201 (0.212) Data 0.047 (0.048) Loss 2.1236 (2.2948) Prec@1 50.000 (47.516) Prec@5 74.609 (72.830)
Epoch: [54][2780/5005] Time 0.193 (0.212) Data 0.045 (0.047) Loss 2.5622 (2.2948) Prec@1 44.531 (47.516) Prec@5 69.531 (72.830)
Epoch: [54][2790/5005] Time 0.214 (0.212) Data 0.042 (0.047) Loss 2.6913 (2.2950) Prec@1 37.891 (47.517) Prec@5 65.625 (72.828)
Epoch: [54][2800/5005] Time 0.207 (0.212) Data 0.049 (0.047) Loss 2.0564 (2.2951) Prec@1 55.078 (47.517) Prec@5 76.562 (72.831)
Epoch: [54][2810/5005] Time 0.215 (0.212) Data 0.046 (0.048) Loss 2.5005 (2.2950) Prec@1 46.094 (47.520) Prec@5 67.578 (72.829)
Epoch: [54][2820/5005] Time 0.211 (0.212) Data 0.047 (0.048) Loss 2.0141 (2.2950) Prec@1 48.438 (47.516) Prec@5 76.172 (72.833)
Epoch: [54][2830/5005] Time 0.214 (0.212) Data 0.042 (0.047) Loss 2.3533 (2.2949) Prec@1 48.438 (47.519) Prec@5 70.703 (72.833)
Epoch: [54][2840/5005] Time 0.220 (0.212) Data 0.041 (0.047) Loss 2.3171 (2.2949) Prec@1 44.922 (47.517) Prec@5 71.875 (72.832)
Epoch: [54][2850/5005] Time 0.207 (0.212) Data 0.046 (0.047) Loss 2.3571 (2.2950) Prec@1 50.391 (47.522) Prec@5 70.312 (72.831)
Epoch: [54][2860/5005] Time 0.195 (0.212) Data 0.050 (0.047) Loss 2.3336 (2.2952) Prec@1 46.484 (47.516) Prec@5 71.484 (72.829)
Epoch: [54][2870/5005] Time 0.214 (0.211) Data 0.046 (0.047) Loss 2.2168 (2.2950) Prec@1 49.219 (47.523) Prec@5 72.656 (72.833)
Epoch: [54][2880/5005] Time 0.210 (0.211) Data 0.048 (0.047) Loss 2.2938 (2.2950) Prec@1 47.656 (47.529) Prec@5 71.875 (72.827)
Epoch: [54][2890/5005] Time 0.212 (0.211) Data 0.043 (0.047) Loss 2.2282 (2.2948) Prec@1 44.531 (47.536) Prec@5 73.047 (72.830)
Epoch: [54][2900/5005] Time 0.205 (0.211) Data 0.047 (0.047) Loss 1.9742 (2.2945) Prec@1 50.000 (47.540) Prec@5 78.125 (72.836)
Epoch: [54][2910/5005] Time 0.205 (0.211) Data 0.058 (0.047) Loss 2.2883 (2.2946) Prec@1 45.703 (47.539) Prec@5 72.656 (72.836)
Epoch: [54][2920/5005] Time 0.217 (0.211) Data 0.043 (0.047) Loss 2.4130 (2.2946) Prec@1 43.359 (47.540) Prec@5 67.969 (72.837)
Epoch: [54][2930/5005] Time 0.208 (0.211) Data 0.046 (0.047) Loss 2.5850 (2.2946) Prec@1 43.359 (47.543) Prec@5 67.969 (72.837)
Epoch: [54][2940/5005] Time 0.217 (0.211) Data 0.042 (0.047) Loss 2.3505 (2.2944) Prec@1 47.266 (47.547) Prec@5 71.094 (72.839)
Epoch: [54][2950/5005] Time 0.203 (0.211) Data 0.043 (0.048) Loss 2.4327 (2.2942) Prec@1 45.312 (47.550) Prec@5 71.875 (72.843)
Epoch: [54][2960/5005] Time 0.214 (0.211) Data 0.050 (0.047) Loss 2.2017 (2.2941) Prec@1 49.219 (47.553) Prec@5 71.484 (72.845)
Epoch: [54][2970/5005] Time 0.201 (0.211) Data 0.050 (0.048) Loss 2.3011 (2.2939) Prec@1 45.312 (47.557) Prec@5 72.656 (72.849)
Epoch: [54][2980/5005] Time 0.267 (0.211) Data 0.039 (0.047) Loss 2.3740 (2.2939) Prec@1 46.484 (47.561) Prec@5 72.266 (72.848)
Epoch: [54][2990/5005] Time 0.199 (0.211) Data 0.049 (0.047) Loss 2.2349 (2.2938) Prec@1 50.781 (47.565) Prec@5 73.438 (72.847)
Epoch: [54][3000/5005] Time 0.221 (0.211) Data 0.043 (0.047) Loss 2.2848 (2.2936) Prec@1 45.312 (47.567) Prec@5 73.047 (72.851)
Epoch: [54][3010/5005] Time 0.202 (0.211) Data 0.041 (0.047) Loss 2.2465 (2.2936) Prec@1 45.312 (47.569) Prec@5 74.609 (72.849)
Epoch: [54][3020/5005] Time 0.218 (0.211) Data 0.043 (0.047) Loss 2.2899 (2.2938) Prec@1 45.312 (47.564) Prec@5 73.047 (72.847)
Epoch: [54][3030/5005] Time 0.202 (0.211) Data 0.045 (0.047) Loss 2.3538 (2.2938) Prec@1 50.781 (47.566) Prec@5 73.828 (72.849)
Epoch: [54][3040/5005] Time 0.200 (0.211) Data 0.040 (0.047) Loss 2.1493 (2.2936) Prec@1 50.000 (47.570) Prec@5 73.438 (72.851)
Epoch: [54][3050/5005] Time 0.215 (0.211) Data 0.042 (0.047) Loss 2.2491 (2.2936) Prec@1 42.969 (47.568) Prec@5 74.609 (72.851)
Epoch: [54][3060/5005] Time 0.203 (0.211) Data 0.047 (0.047) Loss 2.1909 (2.2934) Prec@1 49.219 (47.567) Prec@5 73.438 (72.855)
Epoch: [54][3070/5005] Time 0.202 (0.211) Data 0.049 (0.047) Loss 2.2308 (2.2934) Prec@1 48.047 (47.564) Prec@5 72.266 (72.853)
Epoch: [54][3080/5005] Time 0.208 (0.211) Data 0.042 (0.047) Loss 2.1576 (2.2933) Prec@1 50.781 (47.569) Prec@5 73.828 (72.856)
Epoch: [54][3090/5005] Time 0.215 (0.211) Data 0.042 (0.047) Loss 2.5466 (2.2933) Prec@1 41.016 (47.565) Prec@5 68.359 (72.858)
Epoch: [54][3100/5005] Time 0.202 (0.211) Data 0.054 (0.047) Loss 2.3654 (2.2933) Prec@1 47.656 (47.563) Prec@5 71.094 (72.856)
Epoch: [54][3110/5005] Time 0.197 (0.211) Data 0.053 (0.047) Loss 1.9807 (2.2931) Prec@1 54.688 (47.569) Prec@5 79.297 (72.862)
Epoch: [54][3120/5005] Time 0.214 (0.211) Data 0.047 (0.047) Loss 2.3588 (2.2929) Prec@1 44.922 (47.569) Prec@5 71.484 (72.865)
Epoch: [54][3130/5005] Time 0.213 (0.211) Data 0.044 (0.047) Loss 2.3746 (2.2928) Prec@1 42.188 (47.570) Prec@5 71.094 (72.867)
Epoch: [54][3140/5005] Time 0.215 (0.211) Data 0.044 (0.047) Loss 2.0475 (2.2926) Prec@1 53.516 (47.575) Prec@5 76.172 (72.869)
Epoch: [54][3150/5005] Time 0.215 (0.211) Data 0.040 (0.047) Loss 2.2768 (2.2925) Prec@1 44.922 (47.577) Prec@5 73.828 (72.871)
Epoch: [54][3160/5005] Time 0.220 (0.211) Data 0.041 (0.047) Loss 2.1858 (2.2925) Prec@1 52.344 (47.579) Prec@5 75.391 (72.873)
Epoch: [54][3170/5005] Time 0.212 (0.211) Data 0.043 (0.047) Loss 2.2613 (2.2925) Prec@1 47.656 (47.579) Prec@5 72.656 (72.873)
Epoch: [54][3180/5005] Time 0.208 (0.211) Data 0.041 (0.047) Loss 2.1321 (2.2924) Prec@1 50.000 (47.581) Prec@5 76.172 (72.874)
Epoch: [54][3190/5005] Time 0.213 (0.211) Data 0.048 (0.047) Loss 2.3468 (2.2925) Prec@1 45.703 (47.582) Prec@5 71.875 (72.876)
Epoch: [54][3200/5005] Time 0.208 (0.211) Data 0.044 (0.047) Loss 2.2319 (2.2924) Prec@1 49.609 (47.583) Prec@5 76.562 (72.880)
Epoch: [54][3210/5005] Time 0.208 (0.211) Data 0.044 (0.047) Loss 2.3776 (2.2924) Prec@1 48.047 (47.584) Prec@5 71.875 (72.880)
Epoch: [54][3220/5005] Time 0.190 (0.211) Data 0.043 (0.047) Loss 2.4098 (2.2924) Prec@1 45.703 (47.585) Prec@5 70.312 (72.879)
Epoch: [54][3230/5005] Time 0.217 (0.211) Data 0.042 (0.047) Loss 2.1513 (2.2921) Prec@1 53.516 (47.592) Prec@5 73.047 (72.881)
Epoch: [54][3240/5005] Time 0.210 (0.211) Data 0.047 (0.047) Loss 2.5450 (2.2925) Prec@1 42.969 (47.585) Prec@5 64.844 (72.873)
Epoch: [54][3250/5005] Time 0.209 (0.211) Data 0.044 (0.047) Loss 2.2409 (2.2925) Prec@1 45.703 (47.581) Prec@5 71.094 (72.871)
Epoch: [54][3260/5005] Time 0.202 (0.211) Data 0.060 (0.047) Loss 2.2201 (2.2924) Prec@1 50.781 (47.584) Prec@5 75.781 (72.871)
Epoch: [54][3270/5005] Time 0.207 (0.211) Data 0.051 (0.047) Loss 2.3499 (2.2923) Prec@1 50.000 (47.588) Prec@5 71.094 (72.873)
Epoch: [54][3280/5005] Time 0.198 (0.211) Data 0.044 (0.047) Loss 2.1255 (2.2924) Prec@1 50.781 (47.583) Prec@5 76.562 (72.872)
Epoch: [54][3290/5005] Time 0.209 (0.211) Data 0.043 (0.047) Loss 2.3341 (2.2923) Prec@1 48.828 (47.583) Prec@5 73.047 (72.874)
Epoch: [54][3300/5005] Time 0.197 (0.211) Data 0.043 (0.047) Loss 2.1180 (2.2921) Prec@1 48.438 (47.587) Prec@5 74.609 (72.875)
Epoch: [54][3310/5005] Time 0.200 (0.211) Data 0.042 (0.047) Loss 2.1145 (2.2921) Prec@1 50.391 (47.585) Prec@5 75.000 (72.874)
Epoch: [54][3320/5005] Time 0.209 (0.211) Data 0.044 (0.047) Loss 2.3704 (2.2920) Prec@1 47.266 (47.585) Prec@5 68.750 (72.876)
Epoch: [54][3330/5005] Time 0.204 (0.211) Data 0.044 (0.047) Loss 2.3393 (2.2921) Prec@1 44.531 (47.584) Prec@5 71.484 (72.876)
Epoch: [54][3340/5005] Time 0.205 (0.211) Data 0.042 (0.047) Loss 2.3084 (2.2921) Prec@1 48.828 (47.584) Prec@5 74.219 (72.877)
Epoch: [54][3350/5005] Time 0.212 (0.211) Data 0.043 (0.047) Loss 2.4016 (2.2920) Prec@1 46.094 (47.587) Prec@5 71.094 (72.879)
Epoch: [54][3360/5005] Time 0.204 (0.211) Data 0.044 (0.047) Loss 2.2448 (2.2920) Prec@1 51.953 (47.588) Prec@5 74.219 (72.882)
Epoch: [54][3370/5005] Time 0.208 (0.211) Data 0.047 (0.047) Loss 2.3382 (2.2920) Prec@1 47.266 (47.589) Prec@5 69.531 (72.881)
Epoch: [54][3380/5005] Time 0.203 (0.211) Data 0.042 (0.047) Loss 2.2097 (2.2918) Prec@1 50.391 (47.589) Prec@5 73.828 (72.884)
Epoch: [54][3390/5005] Time 0.204 (0.211) Data 0.041 (0.047) Loss 2.2187 (2.2920) Prec@1 48.828 (47.587) Prec@5 74.219 (72.881)
Epoch: [54][3400/5005] Time 0.219 (0.211) Data 0.045 (0.047) Loss 2.1159 (2.2920) Prec@1 52.344 (47.585) Prec@5 77.344 (72.881)
Epoch: [54][3410/5005] Time 0.212 (0.211) Data 0.043 (0.047) Loss 2.2069 (2.2919) Prec@1 48.828 (47.587) Prec@5 75.391 (72.883)
Epoch: [54][3420/5005] Time 0.212 (0.211) Data 0.043 (0.047) Loss 2.2383 (2.2920) Prec@1 49.219 (47.586) Prec@5 77.734 (72.884)
Epoch: [54][3430/5005] Time 0.204 (0.211) Data 0.042 (0.047) Loss 2.2269 (2.2920) Prec@1 48.438 (47.586) Prec@5 72.656 (72.882)
Epoch: [54][3440/5005] Time 0.211 (0.211) Data 0.051 (0.047) Loss 2.3078 (2.2919) Prec@1 46.875 (47.589) Prec@5 73.438 (72.883)
Epoch: [54][3450/5005] Time 0.212 (0.211) Data 0.044 (0.047) Loss 2.1557 (2.2917) Prec@1 48.828 (47.593) Prec@5 74.609 (72.888)
Epoch: [54][3460/5005] Time 0.206 (0.211) Data 0.045 (0.047) Loss 2.2647 (2.2919) Prec@1 47.656 (47.593) Prec@5 72.656 (72.885)
Epoch: [54][3470/5005] Time 0.213 (0.211) Data 0.044 (0.047) Loss 2.2470 (2.2917) Prec@1 49.609 (47.596) Prec@5 75.000 (72.888)
Epoch: [54][3480/5005] Time 0.212 (0.211) Data 0.043 (0.047) Loss 2.2104 (2.2915) Prec@1 48.047 (47.597) Prec@5 76.953 (72.891)
Epoch: [54][3490/5005] Time 0.211 (0.211) Data 0.043 (0.047) Loss 2.4206 (2.2916) Prec@1 41.406 (47.595) Prec@5 71.094 (72.889)
Epoch: [54][3500/5005] Time 0.211 (0.211) Data 0.043 (0.047) Loss 1.9919 (2.2916) Prec@1 55.469 (47.595) Prec@5 82.031 (72.892)
Epoch: [54][3510/5005] Time 0.216 (0.211) Data 0.042 (0.047) Loss 2.1074 (2.2914) Prec@1 49.219 (47.594) Prec@5 76.172 (72.899)
Epoch: [54][3520/5005] Time 0.207 (0.211) Data 0.047 (0.047) Loss 2.3821 (2.2913) Prec@1 49.219 (47.597) Prec@5 71.875 (72.899)
Epoch: [54][3530/5005] Time 0.214 (0.211) Data 0.042 (0.047) Loss 2.1936 (2.2911) Prec@1 50.000 (47.605) Prec@5 77.734 (72.901)
Epoch: [54][3540/5005] Time 0.215 (0.211) Data 0.044 (0.047) Loss 2.1391 (2.2910) Prec@1 47.266 (47.604) Prec@5 76.562 (72.904)
Epoch: [54][3550/5005] Time 0.199 (0.211) Data 0.050 (0.047) Loss 2.3739 (2.2908) Prec@1 44.141 (47.606) Prec@5 69.531 (72.905)
Epoch: [54][3560/5005] Time 0.205 (0.211) Data 0.046 (0.047) Loss 2.2797 (2.2907) Prec@1 47.656 (47.611) Prec@5 71.094 (72.907)
Epoch: [54][3570/5005] Time 0.214 (0.211) Data 0.043 (0.047) Loss 2.3587 (2.2907) Prec@1 47.266 (47.609) Prec@5 72.656 (72.908)
Epoch: [54][3580/5005] Time 0.205 (0.211) Data 0.045 (0.047) Loss 2.3064 (2.2908) Prec@1 48.047 (47.608) Prec@5 71.094 (72.908)
Epoch: [54][3590/5005] Time 0.206 (0.211) Data 0.046 (0.047) Loss 2.2866 (2.2904) Prec@1 46.094 (47.611) Prec@5 73.828 (72.912)
Epoch: [54][3600/5005] Time 0.203 (0.211) Data 0.046 (0.047) Loss 2.3119 (2.2903) Prec@1 53.125 (47.613) Prec@5 72.266 (72.913)
Epoch: [54][3610/5005] Time 0.203 (0.211) Data 0.045 (0.047) Loss 2.1483 (2.2903) Prec@1 51.562 (47.614) Prec@5 72.266 (72.912)
Epoch: [54][3620/5005] Time 0.205 (0.211) Data 0.042 (0.047) Loss 2.4037 (2.2901) Prec@1 46.094 (47.617) Prec@5 70.312 (72.917)
Epoch: [54][3630/5005] Time 0.202 (0.211) Data 0.046 (0.047) Loss 2.4952 (2.2900) Prec@1 44.531 (47.618) Prec@5 72.266 (72.920)
Epoch: [54][3640/5005] Time 0.205 (0.211) Data 0.043 (0.047) Loss 2.2127 (2.2900) Prec@1 47.656 (47.619) Prec@5 71.875 (72.918)
Epoch: [54][3650/5005] Time 0.212 (0.211) Data 0.045 (0.047) Loss 2.0946 (2.2899) Prec@1 50.000 (47.618) Prec@5 76.172 (72.921)
Epoch: [54][3660/5005] Time 0.206 (0.211) Data 0.047 (0.047) Loss 2.3368 (2.2896) Prec@1 44.531 (47.622) Prec@5 73.438 (72.925)
Epoch: [54][3670/5005] Time 0.210 (0.211) Data 0.040 (0.047) Loss 2.4081 (2.2897) Prec@1 42.969 (47.620) Prec@5 70.703 (72.925)
Epoch: [54][3680/5005] Time 0.212 (0.211) Data 0.045 (0.047) Loss 2.2650 (2.2897) Prec@1 50.000 (47.621) Prec@5 74.219 (72.924)
Epoch: [54][3690/5005] Time 0.213 (0.211) Data 0.044 (0.047) Loss 2.0213 (2.2897) Prec@1 54.297 (47.624) Prec@5 77.734 (72.925)
Epoch: [54][3700/5005] Time 0.199 (0.211) Data 0.042 (0.047) Loss 2.3080 (2.2897) Prec@1 50.781 (47.623) Prec@5 73.047 (72.924)
Epoch: [54][3710/5005] Time 0.205 (0.211) Data 0.046 (0.047) Loss 2.2724 (2.2898) Prec@1 48.047 (47.622) Prec@5 75.000 (72.923)
Epoch: [54][3720/5005] Time 0.213 (0.211) Data 0.040 (0.047) Loss 2.5187 (2.2897) Prec@1 46.094 (47.623) Prec@5 68.359 (72.923)
Epoch: [54][3730/5005] Time 0.209 (0.211) Data 0.043 (0.047) Loss 2.1526 (2.2896) Prec@1 50.391 (47.623) Prec@5 74.609 (72.924)
Epoch: [54][3740/5005] Time 0.213 (0.211) Data 0.044 (0.047) Loss 2.2075 (2.2894) Prec@1 50.781 (47.627) Prec@5 73.438 (72.927)
Epoch: [54][3750/5005] Time 0.209 (0.211) Data 0.043 (0.047) Loss 2.0871 (2.2893) Prec@1 51.562 (47.629) Prec@5 79.297 (72.929)
Epoch: [54][3760/5005] Time 0.205 (0.211) Data 0.043 (0.047) Loss 2.3892 (2.2895) Prec@1 44.922 (47.623) Prec@5 68.750 (72.926)
Epoch: [54][3770/5005] Time 0.207 (0.211) Data 0.043 (0.047) Loss 2.3599 (2.2893) Prec@1 42.969 (47.626) Prec@5 67.969 (72.927)
Epoch: [54][3780/5005] Time 0.210 (0.211) Data 0.043 (0.047) Loss 2.3505 (2.2893) Prec@1 47.656 (47.627) Prec@5 73.047 (72.928)
Epoch: [54][3790/5005] Time 0.208 (0.211) Data 0.044 (0.047) Loss 2.3369 (2.2893) Prec@1 46.484 (47.626) Prec@5 75.000 (72.930)
Epoch: [54][3800/5005] Time 0.210 (0.211) Data 0.043 (0.047) Loss 2.1011 (2.2894) Prec@1 50.781 (47.621) Prec@5 76.562 (72.929)
Epoch: [54][3810/5005] Time 0.209 (0.211) Data 0.043 (0.047) Loss 2.2025 (2.2894) Prec@1 48.828 (47.619) Prec@5 74.609 (72.931)
Epoch: [54][3820/5005] Time 0.218 (0.211) Data 0.043 (0.047) Loss 2.3942 (2.2893) Prec@1 44.922 (47.622) Prec@5 73.047 (72.936)
Epoch: [54][3830/5005] Time 0.207 (0.211) Data 0.046 (0.047) Loss 2.2680 (2.2890) Prec@1 46.094 (47.627) Prec@5 71.094 (72.939)
Epoch: [54][3840/5005] Time 0.212 (0.211) Data 0.045 (0.047) Loss 2.4904 (2.2891) Prec@1 41.797 (47.623) Prec@5 69.531 (72.935)
Epoch: [54][3850/5005] Time 0.208 (0.211) Data 0.042 (0.047) Loss 2.3391 (2.2891) Prec@1 48.828 (47.624) Prec@5 75.391 (72.936)
Epoch: [54][3860/5005] Time 0.213 (0.211) Data 0.043 (0.047) Loss 2.2573 (2.2892) Prec@1 51.172 (47.626) Prec@5 73.438 (72.933)
Epoch: [54][3870/5005] Time 0.211 (0.211) Data 0.044 (0.047) Loss 2.2728 (2.2892) Prec@1 48.047 (47.624) Prec@5 70.312 (72.929)
Epoch: [54][3880/5005] Time 0.205 (0.211) Data 0.043 (0.047) Loss 2.2481 (2.2891) Prec@1 50.391 (47.629) Prec@5 73.438 (72.932)
Epoch: [54][3890/5005] Time 0.215 (0.211) Data 0.045 (0.047) Loss 2.5495 (2.2891) Prec@1 41.016 (47.629) Prec@5 72.656 (72.933)
Epoch: [54][3900/5005] Time 0.212 (0.211) Data 0.042 (0.047) Loss 2.5119 (2.2892) Prec@1 43.359 (47.626) Prec@5 68.750 (72.932)
Epoch: [54][3910/5005] Time 0.213 (0.211) Data 0.044 (0.047) Loss 2.3455 (2.2892) Prec@1 42.578 (47.627) Prec@5 71.875 (72.933)
Epoch: [54][3920/5005] Time 0.208 (0.211) Data 0.043 (0.047) Loss 2.2831 (2.2892) Prec@1 45.312 (47.629) Prec@5 73.047 (72.932)
Epoch: [54][3930/5005] Time 0.202 (0.211) Data 0.043 (0.047) Loss 2.2324 (2.2889) Prec@1 49.219 (47.632) Prec@5 69.922 (72.937)
Epoch: [54][3940/5005] Time 0.217 (0.211) Data 0.044 (0.047) Loss 2.1545 (2.2889) Prec@1 52.734 (47.632) Prec@5 73.047 (72.938)
Epoch: [54][3950/5005] Time 0.216 (0.211) Data 0.041 (0.047) Loss 2.3162 (2.2888) Prec@1 50.391 (47.637) Prec@5 72.656 (72.939)
Epoch: [54][3960/5005] Time 0.211 (0.211) Data 0.049 (0.047) Loss 2.2147 (2.2887) Prec@1 49.219 (47.640) Prec@5 76.953 (72.944)
Epoch: [54][3970/5005] Time 0.207 (0.211) Data 0.040 (0.047) Loss 2.2194 (2.2885) Prec@1 51.562 (47.641) Prec@5 73.438 (72.946)
Epoch: [54][3980/5005] Time 0.213 (0.211) Data 0.044 (0.047) Loss 2.0864 (2.2884) Prec@1 53.125 (47.646) Prec@5 74.609 (72.949)
Epoch: [54][3990/5005] Time 0.210 (0.211) Data 0.043 (0.047) Loss 2.4333 (2.2885) Prec@1 43.359 (47.644) Prec@5 70.312 (72.948)
Epoch: [54][4000/5005] Time 0.214 (0.211) Data 0.042 (0.047) Loss 2.3113 (2.2885) Prec@1 49.609 (47.644) Prec@5 70.703 (72.946)
Epoch: [54][4010/5005] Time 0.211 (0.211) Data 0.044 (0.047) Loss 2.2839 (2.2884) Prec@1 49.609 (47.646) Prec@5 74.219 (72.952)
Epoch: [54][4020/5005] Time 0.213 (0.211) Data 0.041 (0.047) Loss 2.3891 (2.2883) Prec@1 47.266 (47.647) Prec@5 70.312 (72.951)
Epoch: [54][4030/5005] Time 0.200 (0.211) Data 0.050 (0.047) Loss 2.4011 (2.2886) Prec@1 46.484 (47.645) Prec@5 73.047 (72.946)
Epoch: [54][4040/5005] Time 0.198 (0.211) Data 0.043 (0.047) Loss 2.3157 (2.2888) Prec@1 46.484 (47.637) Prec@5 70.703 (72.944)
Epoch: [54][4050/5005] Time 0.200 (0.211) Data 0.045 (0.047) Loss 2.6119 (2.2888) Prec@1 43.750 (47.638) Prec@5 67.188 (72.941)
Epoch: [54][4060/5005] Time 0.203 (0.211) Data 0.050 (0.047) Loss 2.3854 (2.2888) Prec@1 42.578 (47.639) Prec@5 69.141 (72.942)
Epoch: [54][4070/5005] Time 0.202 (0.211) Data 0.048 (0.047) Loss 2.3640 (2.2888) Prec@1 50.781 (47.639) Prec@5 71.875 (72.941)
Epoch: [54][4080/5005] Time 0.204 (0.211) Data 0.050 (0.047) Loss 2.1108 (2.2888) Prec@1 50.391 (47.639) Prec@5 75.781 (72.938)
Epoch: [54][4090/5005] Time 0.209 (0.211) Data 0.048 (0.047) Loss 2.4204 (2.2887) Prec@1 45.312 (47.641) Prec@5 70.703 (72.941)
Epoch: [54][4100/5005] Time 0.205 (0.211) Data 0.043 (0.047) Loss 2.2664 (2.2887) Prec@1 46.094 (47.638) Prec@5 71.875 (72.939)
Epoch: [54][4110/5005] Time 0.206 (0.211) Data 0.059 (0.047) Loss 2.4164 (2.2887) Prec@1 43.750 (47.637) Prec@5 70.703 (72.938)
Epoch: [54][4120/5005] Time 0.207 (0.211) Data 0.047 (0.047) Loss 2.4298 (2.2886) Prec@1 46.875 (47.637) Prec@5 72.656 (72.939)
Epoch: [54][4130/5005] Time 0.209 (0.211) Data 0.048 (0.047) Loss 2.4597 (2.2886) Prec@1 42.969 (47.636) Prec@5 69.922 (72.940)
Epoch: [54][4140/5005] Time 0.209 (0.211) Data 0.043 (0.047) Loss 2.4351 (2.2886) Prec@1 42.578 (47.636) Prec@5 73.438 (72.940)
Epoch: [54][4150/5005] Time 0.211 (0.211) Data 0.043 (0.047) Loss 2.4759 (2.2886) Prec@1 45.703 (47.637) Prec@5 69.531 (72.941)
Epoch: [54][4160/5005] Time 0.218 (0.211) Data 0.047 (0.047) Loss 2.2934 (2.2888) Prec@1 50.781 (47.634) Prec@5 71.484 (72.939)
Epoch: [54][4170/5005] Time 0.206 (0.211) Data 0.043 (0.047) Loss 2.2374 (2.2887) Prec@1 48.438 (47.636) Prec@5 75.000 (72.940)
Epoch: [54][4180/5005] Time 0.212 (0.211) Data 0.061 (0.047) Loss 2.2392 (2.2886) Prec@1 49.609 (47.640) Prec@5 72.656 (72.940)
Epoch: [54][4190/5005] Time 0.214 (0.211) Data 0.051 (0.047) Loss 2.0410 (2.2885) Prec@1 50.000 (47.642) Prec@5 75.391 (72.940)
Epoch: [54][4200/5005] Time 0.215 (0.211) Data 0.049 (0.047) Loss 2.0516 (2.2885) Prec@1 48.828 (47.641) Prec@5 77.344 (72.941)
Epoch: [54][4210/5005] Time 0.198 (0.211) Data 0.061 (0.047) Loss 2.1665 (2.2884) Prec@1 49.219 (47.644) Prec@5 75.781 (72.942)
Epoch: [54][4220/5005] Time 0.204 (0.211) Data 0.042 (0.047) Loss 2.5033 (2.2885) Prec@1 44.531 (47.644) Prec@5 69.531 (72.940)
Epoch: [54][4230/5005] Time 0.206 (0.211) Data 0.053 (0.047) Loss 2.3287 (2.2885) Prec@1 43.750 (47.644) Prec@5 73.828 (72.941)
Epoch: [54][4240/5005] Time 0.198 (0.211) Data 0.052 (0.047) Loss 2.1006 (2.2885) Prec@1 48.828 (47.644) Prec@5 74.219 (72.940)
Epoch: [54][4250/5005] Time 0.204 (0.211) Data 0.046 (0.047) Loss 2.1678 (2.2882) Prec@1 48.438 (47.645) Prec@5 75.391 (72.943)
Epoch: [54][4260/5005] Time 0.204 (0.211) Data 0.046 (0.047) Loss 2.2185 (2.2882) Prec@1 48.047 (47.646) Prec@5 73.438 (72.945)
Epoch: [54][4270/5005] Time 0.218 (0.211) Data 0.046 (0.047) Loss 2.4747 (2.2884) Prec@1 43.359 (47.642) Prec@5 71.484 (72.944)
Epoch: [54][4280/5005] Time 0.208 (0.211) Data 0.050 (0.047) Loss 2.3676 (2.2884) Prec@1 50.000 (47.642) Prec@5 71.484 (72.945)
Epoch: [54][4290/5005] Time 0.204 (0.210) Data 0.050 (0.047) Loss 2.4938 (2.2885) Prec@1 45.312 (47.641) Prec@5 68.750 (72.943)
Epoch: [54][4300/5005] Time 0.205 (0.210) Data 0.058 (0.047) Loss 2.0511 (2.2883) Prec@1 50.781 (47.643) Prec@5 76.172 (72.945)
Epoch: [54][4310/5005] Time 0.214 (0.210) Data 0.044 (0.047) Loss 2.1949 (2.2882) Prec@1 50.781 (47.646) Prec@5 74.609 (72.947)
Epoch: [54][4320/5005] Time 0.205 (0.210) Data 0.049 (0.047) Loss 2.2173 (2.2883) Prec@1 51.562 (47.645) Prec@5 73.828 (72.944)
Epoch: [54][4330/5005] Time 0.212 (0.210) Data 0.044 (0.047) Loss 2.2191 (2.2882) Prec@1 51.953 (47.650) Prec@5 74.609 (72.947)
Epoch: [54][4340/5005] Time 0.208 (0.210) Data 0.056 (0.047) Loss 2.4096 (2.2883) Prec@1 42.969 (47.645) Prec@5 69.922 (72.946)
Epoch: [54][4350/5005] Time 0.204 (0.210) Data 0.040 (0.047) Loss 2.3847 (2.2882) Prec@1 49.609 (47.647) Prec@5 73.438 (72.948)
Epoch: [54][4360/5005] Time 0.215 (0.210) Data 0.042 (0.047) Loss 2.0272 (2.2881) Prec@1 49.609 (47.649) Prec@5 77.344 (72.949)
Epoch: [54][4370/5005] Time 0.214 (0.210) Data 0.045 (0.047) Loss 2.1766 (2.2880) Prec@1 48.047 (47.650) Prec@5 75.781 (72.952)
Epoch: [54][4380/5005] Time 0.217 (0.210) Data 0.043 (0.047) Loss 2.3865 (2.2880) Prec@1 42.578 (47.649) Prec@5 69.922 (72.951)
Epoch: [54][4390/5005] Time 0.205 (0.210) Data 0.055 (0.047) Loss 2.3879 (2.2878) Prec@1 48.047 (47.654) Prec@5 71.094 (72.953)
Epoch: [54][4400/5005] Time 0.210 (0.210) Data 0.046 (0.047) Loss 2.2715 (2.2878) Prec@1 48.828 (47.655) Prec@5 71.875 (72.951)
Epoch: [54][4410/5005] Time 0.203 (0.210) Data 0.043 (0.047) Loss 2.2153 (2.2877) Prec@1 46.484 (47.655) Prec@5 75.391 (72.953)
Epoch: [54][4420/5005] Time 0.213 (0.210) Data 0.044 (0.047) Loss 1.9723 (2.2876) Prec@1 54.297 (47.656) Prec@5 77.734 (72.953)
Epoch: [54][4430/5005] Time 0.211 (0.210) Data 0.044 (0.047) Loss 2.2947 (2.2874) Prec@1 44.141 (47.660) Prec@5 71.484 (72.957)
Epoch: [54][4440/5005] Time 0.215 (0.210) Data 0.044 (0.047) Loss 2.3969 (2.2874) Prec@1 44.922 (47.660) Prec@5 74.609 (72.959)
Epoch: [54][4450/5005] Time 0.205 (0.210) Data 0.059 (0.047) Loss 2.0457 (2.2873) Prec@1 51.172 (47.661) Prec@5 76.953 (72.962)
Epoch: [54][4460/5005] Time 0.201 (0.210) Data 0.051 (0.047) Loss 2.2233 (2.2871) Prec@1 46.484 (47.664) Prec@5 74.609 (72.964)
Epoch: [54][4470/5005] Time 0.205 (0.210) Data 0.061 (0.047) Loss 2.1923 (2.2872) Prec@1 46.094 (47.663) Prec@5 77.734 (72.965)
Epoch: [54][4480/5005] Time 0.209 (0.210) Data 0.048 (0.047) Loss 2.1069 (2.2872) Prec@1 50.391 (47.664) Prec@5 75.391 (72.964)
Epoch: [54][4490/5005] Time 0.196 (0.210) Data 0.058 (0.047) Loss 2.3303 (2.2873) Prec@1 42.188 (47.663) Prec@5 72.656 (72.964)
Epoch: [54][4500/5005] Time 0.200 (0.210) Data 0.050 (0.047) Loss 2.0936 (2.2872) Prec@1 54.297 (47.667) Prec@5 77.344 (72.966)
Epoch: [54][4510/5005] Time 0.212 (0.210) Data 0.045 (0.047) Loss 2.1499 (2.2872) Prec@1 53.516 (47.669) Prec@5 76.562 (72.967)
Epoch: [54][4520/5005] Time 0.211 (0.210) Data 0.042 (0.047) Loss 2.2723 (2.2870) Prec@1 50.000 (47.672) Prec@5 77.344 (72.970)
Epoch: [54][4530/5005] Time 0.198 (0.210) Data 0.055 (0.047) Loss 2.1859 (2.2870) Prec@1 48.438 (47.672) Prec@5 77.344 (72.971)
Epoch: [54][4540/5005] Time 0.210 (0.210) Data 0.045 (0.047) Loss 2.3175 (2.2870) Prec@1 46.484 (47.671) Prec@5 73.047 (72.971)
Epoch: [54][4550/5005] Time 0.208 (0.210) Data 0.045 (0.047) Loss 2.3881 (2.2870) Prec@1 42.578 (47.667) Prec@5 69.531 (72.970)
Epoch: [54][4560/5005] Time 0.207 (0.210) Data 0.046 (0.047) Loss 2.3821 (2.2870) Prec@1 44.531 (47.669) Prec@5 73.047 (72.969)
Epoch: [54][4570/5005] Time 0.203 (0.210) Data 0.048 (0.047) Loss 2.2367 (2.2867) Prec@1 50.000 (47.672) Prec@5 75.391 (72.973)
Epoch: [54][4580/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.4403 (2.2866) Prec@1 41.406 (47.674) Prec@5 69.141 (72.975)
Epoch: [54][4590/5005] Time 0.211 (0.210) Data 0.046 (0.047) Loss 2.2062 (2.2866) Prec@1 48.438 (47.674) Prec@5 75.000 (72.976)
Epoch: [54][4600/5005] Time 0.205 (0.210) Data 0.044 (0.047) Loss 1.9858 (2.2867) Prec@1 52.344 (47.673) Prec@5 79.688 (72.974)
Epoch: [54][4610/5005] Time 0.215 (0.210) Data 0.045 (0.047) Loss 2.0494 (2.2867) Prec@1 50.781 (47.672) Prec@5 76.172 (72.973)
Epoch: [54][4620/5005] Time 0.211 (0.210) Data 0.047 (0.047) Loss 2.2162 (2.2866) Prec@1 48.438 (47.672) Prec@5 72.266 (72.973)
Epoch: [54][4630/5005] Time 0.209 (0.210) Data 0.047 (0.047) Loss 2.2259 (2.2865) Prec@1 48.047 (47.674) Prec@5 75.000 (72.975)
Epoch: [54][4640/5005] Time 0.209 (0.210) Data 0.048 (0.047) Loss 2.2905 (2.2865) Prec@1 52.734 (47.676) Prec@5 71.875 (72.977)
Epoch: [54][4650/5005] Time 0.200 (0.210) Data 0.052 (0.047) Loss 2.2645 (2.2864) Prec@1 45.312 (47.679) Prec@5 73.047 (72.979)
Epoch: [54][4660/5005] Time 0.206 (0.210) Data 0.058 (0.047) Loss 2.4438 (2.2862) Prec@1 46.484 (47.683) Prec@5 68.359 (72.978)
Epoch: [54][4670/5005] Time 0.198 (0.210) Data 0.051 (0.047) Loss 2.2224 (2.2862) Prec@1 49.609 (47.686) Prec@5 73.438 (72.978)
Epoch: [54][4680/5005] Time 0.204 (0.210) Data 0.043 (0.047) Loss 2.1254 (2.2861) Prec@1 47.266 (47.686) Prec@5 79.297 (72.979)
Epoch: [54][4690/5005] Time 0.209 (0.210) Data 0.044 (0.047) Loss 2.2456 (2.2861) Prec@1 51.562 (47.685) Prec@5 73.438 (72.980)
Epoch: [54][4700/5005] Time 0.212 (0.210) Data 0.044 (0.047) Loss 2.3005 (2.2860) Prec@1 48.438 (47.686) Prec@5 72.266 (72.980)
Epoch: [54][4710/5005] Time 0.210 (0.210) Data 0.061 (0.047) Loss 2.1120 (2.2858) Prec@1 48.828 (47.689) Prec@5 75.000 (72.987)
Epoch: [54][4720/5005] Time 0.210 (0.210) Data 0.043 (0.047) Loss 2.1594 (2.2857) Prec@1 51.953 (47.690) Prec@5 77.734 (72.988)
Epoch: [54][4730/5005] Time 0.206 (0.210) Data 0.046 (0.047) Loss 2.2968 (2.2859) Prec@1 47.656 (47.686) Prec@5 72.266 (72.987)
Epoch: [54][4740/5005] Time 0.203 (0.210) Data 0.047 (0.047) Loss 2.2214 (2.2858) Prec@1 44.922 (47.688) Prec@5 72.656 (72.989)
Epoch: [54][4750/5005] Time 0.195 (0.210) Data 0.061 (0.047) Loss 2.1801 (2.2857) Prec@1 51.953 (47.688) Prec@5 75.000 (72.990)
Epoch: [54][4760/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.5631 (2.2856) Prec@1 42.188 (47.690) Prec@5 71.094 (72.992)
Epoch: [54][4770/5005] Time 0.210 (0.210) Data 0.045 (0.047) Loss 2.2564 (2.2854) Prec@1 50.781 (47.692) Prec@5 73.438 (72.994)
Epoch: [54][4780/5005] Time 0.200 (0.210) Data 0.054 (0.047) Loss 2.3539 (2.2854) Prec@1 44.922 (47.690) Prec@5 71.484 (72.995)
Epoch: [54][4790/5005] Time 0.218 (0.210) Data 0.044 (0.047) Loss 2.4834 (2.2855) Prec@1 44.531 (47.691) Prec@5 71.094 (72.993)
Epoch: [54][4800/5005] Time 0.205 (0.210) Data 0.048 (0.047) Loss 2.4449 (2.2853) Prec@1 47.266 (47.690) Prec@5 73.438 (72.997)
Epoch: [54][4810/5005] Time 0.213 (0.210) Data 0.053 (0.047) Loss 2.3988 (2.2852) Prec@1 46.875 (47.694) Prec@5 69.141 (72.998)
Epoch: [54][4820/5005] Time 0.204 (0.210) Data 0.048 (0.047) Loss 2.3639 (2.2851) Prec@1 46.875 (47.697) Prec@5 69.531 (73.000)
Epoch: [54][4830/5005] Time 0.207 (0.210) Data 0.043 (0.047) Loss 2.3427 (2.2849) Prec@1 46.875 (47.701) Prec@5 71.875 (73.004)
Epoch: [54][4840/5005] Time 0.197 (0.210) Data 0.045 (0.047) Loss 2.1654 (2.2849) Prec@1 48.047 (47.701) Prec@5 73.047 (73.003)
Epoch: [54][4850/5005] Time 0.213 (0.210) Data 0.043 (0.047) Loss 2.2987 (2.2850) Prec@1 48.047 (47.701) Prec@5 72.656 (73.001)
Epoch: [54][4860/5005] Time 0.206 (0.210) Data 0.046 (0.047) Loss 2.3274 (2.2850) Prec@1 45.312 (47.701) Prec@5 74.219 (73.000)
Epoch: [54][4870/5005] Time 0.204 (0.210) Data 0.044 (0.047) Loss 2.1441 (2.2850) Prec@1 51.953 (47.704) Prec@5 73.828 (73.001)
Epoch: [54][4880/5005] Time 0.218 (0.210) Data 0.041 (0.047) Loss 2.2365 (2.2848) Prec@1 50.000 (47.709) Prec@5 71.875 (73.003)
Epoch: [54][4890/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.3495 (2.2846) Prec@1 46.094 (47.712) Prec@5 72.266 (73.006)
Epoch: [54][4900/5005] Time 0.203 (0.210) Data 0.044 (0.047) Loss 2.2165 (2.2845) Prec@1 49.219 (47.716) Prec@5 74.609 (73.007)
Epoch: [54][4910/5005] Time 0.210 (0.210) Data 0.048 (0.047) Loss 2.4178 (2.2844) Prec@1 41.797 (47.716) Prec@5 71.094 (73.010)
Epoch: [54][4920/5005] Time 0.217 (0.210) Data 0.044 (0.047) Loss 2.1330 (2.2843) Prec@1 48.047 (47.717) Prec@5 75.391 (73.011)
Epoch: [54][4930/5005] Time 0.198 (0.210) Data 0.060 (0.047) Loss 2.3549 (2.2842) Prec@1 46.875 (47.719) Prec@5 69.922 (73.013)
Epoch: [54][4940/5005] Time 0.202 (0.210) Data 0.044 (0.047) Loss 2.2544 (2.2842) Prec@1 51.172 (47.722) Prec@5 71.094 (73.013)
Epoch: [54][4950/5005] Time 0.207 (0.210) Data 0.044 (0.047) Loss 2.0205 (2.2842) Prec@1 49.609 (47.722) Prec@5 79.297 (73.013)
Epoch: [54][4960/5005] Time 0.214 (0.210) Data 0.040 (0.047) Loss 2.2648 (2.2841) Prec@1 52.344 (47.726) Prec@5 75.000 (73.015)
Epoch: [54][4970/5005] Time 0.202 (0.210) Data 0.050 (0.047) Loss 2.3261 (2.2841) Prec@1 45.703 (47.726) Prec@5 72.266 (73.019)
Epoch: [54][4980/5005] Time 0.219 (0.210) Data 0.045 (0.047) Loss 2.3354 (2.2840) Prec@1 47.266 (47.730) Prec@5 71.484 (73.023)
Epoch: [54][4990/5005] Time 0.206 (0.210) Data 0.030 (0.047) Loss 2.4349 (2.2839) Prec@1 43.359 (47.732) Prec@5 71.484 (73.023)
Epoch: [54][5000/5005] Time 0.205 (0.210) Data 0.021 (0.047) Loss 2.3954 (2.2839) Prec@1 44.531 (47.730) Prec@5 71.094 (73.024)
Test: [0/196] Time 2.076 (2.076) Loss 2.3961 (2.3961) Prec@1 48.828 (48.828) Prec@5 70.703 (70.703)
Test: [10/196] Time 0.044 (0.276) Loss 2.4389 (2.5354) Prec@1 46.094 (43.359) Prec@5 74.609 (69.176)
Test: [20/196] Time 0.042 (0.244) Loss 2.4538 (2.5456) Prec@1 47.266 (43.713) Prec@5 72.656 (69.531)
Test: [30/196] Time 0.363 (0.209) Loss 2.4542 (2.5562) Prec@1 42.578 (43.208) Prec@5 69.922 (69.153)
Test: [40/196] Time 0.097 (0.210) Loss 2.2817 (2.5534) Prec@1 47.656 (43.531) Prec@5 75.391 (69.179)
Test: [50/196] Time 0.044 (0.205) Loss 2.6487 (2.5568) Prec@1 45.703 (43.604) Prec@5 68.359 (69.133)
Test: [60/196] Time 0.307 (0.195) Loss 2.4640 (2.5410) Prec@1 48.438 (43.955) Prec@5 69.922 (69.390)
Test: [70/196] Time 0.044 (0.191) Loss 2.4265 (2.5354) Prec@1 47.656 (44.102) Prec@5 70.312 (69.284)
Test: [80/196] Time 0.044 (0.187) Loss 2.3950 (2.5427) Prec@1 52.734 (44.155) Prec@5 77.734 (69.160)
Test: [90/196] Time 0.656 (0.191) Loss 2.6637 (2.5466) Prec@1 44.531 (44.162) Prec@5 69.141 (69.098)
Test: [100/196] Time 0.046 (0.186) Loss 2.5447 (2.5438) Prec@1 45.312 (44.342) Prec@5 69.141 (69.156)
Test: [110/196] Time 0.044 (0.183) Loss 2.8106 (2.5462) Prec@1 36.328 (44.369) Prec@5 62.500 (69.162)
Test: [120/196] Time 0.044 (0.181) Loss 2.3598 (2.5424) Prec@1 46.484 (44.476) Prec@5 71.484 (69.215)
Test: [130/196] Time 0.044 (0.184) Loss 2.2754 (2.5380) Prec@1 47.656 (44.561) Prec@5 72.266 (69.305)
Test: [140/196] Time 0.232 (0.182) Loss 2.3381 (2.5391) Prec@1 49.219 (44.542) Prec@5 70.703 (69.260)
Test: [150/196] Time 0.541 (0.183) Loss 2.2020 (2.5387) Prec@1 47.656 (44.477) Prec@5 76.562 (69.304)
Test: [160/196] Time 0.090 (0.181) Loss 2.4868 (2.5368) Prec@1 49.609 (44.492) Prec@5 69.531 (69.310)
Test: [170/196] Time 0.042 (0.181) Loss 2.3903 (2.5393) Prec@1 46.094 (44.456) Prec@5 74.219 (69.287)
Test: [180/196] Time 0.232 (0.179) Loss 2.7319 (2.5443) Prec@1 37.109 (44.296) Prec@5 65.625 (69.156)
Test: [190/196] Time 0.095 (0.179) Loss 2.7235 (2.5474) Prec@1 43.750 (44.257) Prec@5 66.797 (69.053)
* Prec@1 44.264 Prec@5 69.072
Learning rate: 1e-05
Epoch: [55][0/5005] Time 1.019 (1.019) Data 0.905 (0.905) Loss 2.1242 (2.1242) Prec@1 48.828 (48.828) Prec@5 76.953 (76.953)
Epoch: [55][10/5005] Time 0.201 (0.278) Data 0.041 (0.125) Loss 2.2835 (2.2848) Prec@1 50.000 (46.982) Prec@5 73.047 (73.757)
Epoch: [55][20/5005] Time 0.201 (0.242) Data 0.057 (0.087) Loss 2.4420 (2.2923) Prec@1 45.312 (46.819) Prec@5 70.312 (73.307)
Epoch: [55][30/5005] Time 0.210 (0.231) Data 0.045 (0.073) Loss 2.2091 (2.2737) Prec@1 49.219 (47.190) Prec@5 72.656 (73.173)
Epoch: [55][40/5005] Time 0.211 (0.225) Data 0.042 (0.067) Loss 2.3376 (2.2874) Prec@1 44.922 (46.904) Prec@5 69.922 (72.799)
Epoch: [55][50/5005] Time 0.202 (0.221) Data 0.044 (0.062) Loss 2.2030 (2.2968) Prec@1 45.703 (46.684) Prec@5 77.734 (72.855)
Epoch: [55][60/5005] Time 0.201 (0.219) Data 0.057 (0.060) Loss 2.2575 (2.2963) Prec@1 48.438 (46.881) Prec@5 75.000 (72.842)
Epoch: [55][70/5005] Time 0.214 (0.216) Data 0.044 (0.058) Loss 2.4316 (2.3084) Prec@1 42.578 (46.765) Prec@5 70.703 (72.656)
Epoch: [55][80/5005] Time 0.199 (0.215) Data 0.050 (0.056) Loss 2.2222 (2.3018) Prec@1 49.219 (46.909) Prec@5 74.219 (72.777)
Epoch: [55][90/5005] Time 0.207 (0.213) Data 0.041 (0.055) Loss 2.3928 (2.3044) Prec@1 48.828 (47.021) Prec@5 71.875 (72.699)
Epoch: [55][100/5005] Time 0.198 (0.212) Data 0.045 (0.054) Loss 2.1168 (2.3030) Prec@1 51.562 (47.099) Prec@5 74.609 (72.753)
Epoch: [55][110/5005] Time 0.205 (0.211) Data 0.045 (0.053) Loss 2.3788 (2.3050) Prec@1 46.094 (47.227) Prec@5 71.484 (72.741)
Epoch: [55][120/5005] Time 0.213 (0.211) Data 0.042 (0.052) Loss 2.4219 (2.3096) Prec@1 47.656 (47.269) Prec@5 71.484 (72.643)
Epoch: [55][130/5005] Time 0.208 (0.210) Data 0.045 (0.052) Loss 2.4396 (2.3078) Prec@1 46.094 (47.325) Prec@5 71.484 (72.662)
Epoch: [55][140/5005] Time 0.210 (0.210) Data 0.042 (0.051) Loss 2.3150 (2.3050) Prec@1 42.578 (47.285) Prec@5 70.703 (72.695)
Epoch: [55][150/5005] Time 0.210 (0.209) Data 0.042 (0.051) Loss 2.3688 (2.3071) Prec@1 46.484 (47.276) Prec@5 68.750 (72.630)
Epoch: [55][160/5005] Time 0.209 (0.209) Data 0.043 (0.051) Loss 2.4371 (2.3088) Prec@1 41.797 (47.239) Prec@5 67.969 (72.564)
Epoch: [55][170/5005] Time 0.210 (0.209) Data 0.059 (0.051) Loss 2.3649 (2.3090) Prec@1 50.000 (47.293) Prec@5 70.312 (72.503)
Epoch: [55][180/5005] Time 0.217 (0.209) Data 0.045 (0.051) Loss 2.5391 (2.3093) Prec@1 45.312 (47.270) Prec@5 69.141 (72.501)
Epoch: [55][190/5005] Time 0.218 (0.210) Data 0.048 (0.051) Loss 2.3634 (2.3139) Prec@1 50.000 (47.174) Prec@5 73.047 (72.462)
Epoch: [55][200/5005] Time 0.215 (0.210) Data 0.050 (0.051) Loss 2.6216 (2.3167) Prec@1 42.578 (47.054) Prec@5 67.969 (72.384)
Epoch: [55][210/5005] Time 0.224 (0.210) Data 0.044 (0.051) Loss 2.1155 (2.3144) Prec@1 49.219 (47.088) Prec@5 74.609 (72.412)
Epoch: [55][220/5005] Time 0.218 (0.211) Data 0.044 (0.051) Loss 2.2882 (2.3129) Prec@1 45.312 (47.107) Prec@5 69.531 (72.396)
Epoch: [55][230/5005] Time 0.228 (0.211) Data 0.042 (0.050) Loss 2.3688 (2.3121) Prec@1 46.484 (47.134) Prec@5 71.484 (72.440)
Epoch: [55][240/5005] Time 0.217 (0.211) Data 0.042 (0.050) Loss 2.2000 (2.3119) Prec@1 51.172 (47.141) Prec@5 71.875 (72.436)
Epoch: [55][250/5005] Time 0.208 (0.212) Data 0.049 (0.050) Loss 2.4763 (2.3103) Prec@1 44.922 (47.163) Prec@5 69.922 (72.469)
Epoch: [55][260/5005] Time 0.215 (0.212) Data 0.043 (0.050) Loss 2.0761 (2.3106) Prec@1 50.391 (47.173) Prec@5 74.609 (72.498)
Epoch: [55][270/5005] Time 0.216 (0.212) Data 0.042 (0.050) Loss 2.3107 (2.3099) Prec@1 47.656 (47.188) Prec@5 73.047 (72.508)
Epoch: [55][280/5005] Time 0.213 (0.212) Data 0.048 (0.050) Loss 2.5534 (2.3116) Prec@1 44.922 (47.193) Prec@5 67.578 (72.455)
Epoch: [55][290/5005] Time 0.214 (0.212) Data 0.047 (0.050) Loss 2.1333 (2.3139) Prec@1 50.781 (47.143) Prec@5 73.828 (72.393)
Epoch: [55][300/5005] Time 0.215 (0.213) Data 0.043 (0.049) Loss 2.1627 (2.3131) Prec@1 49.609 (47.155) Prec@5 74.609 (72.414)
Epoch: [55][310/5005] Time 0.215 (0.213) Data 0.043 (0.049) Loss 2.3157 (2.3105) Prec@1 46.875 (47.234) Prec@5 72.266 (72.465)
Epoch: [55][320/5005] Time 0.214 (0.213) Data 0.050 (0.049) Loss 2.5383 (2.3116) Prec@1 40.234 (47.228) Prec@5 68.750 (72.445)
Epoch: [55][330/5005] Time 0.211 (0.213) Data 0.045 (0.049) Loss 2.0918 (2.3110) Prec@1 49.219 (47.221) Prec@5 76.562 (72.475)
Epoch: [55][340/5005] Time 0.209 (0.213) Data 0.050 (0.049) Loss 2.3550 (2.3146) Prec@1 46.484 (47.169) Prec@5 71.094 (72.416)
Epoch: [55][350/5005] Time 0.213 (0.213) Data 0.042 (0.049) Loss 2.5305 (2.3139) Prec@1 42.578 (47.168) Prec@5 67.578 (72.440)
Epoch: [55][360/5005] Time 0.212 (0.213) Data 0.042 (0.049) Loss 2.3804 (2.3144) Prec@1 48.438 (47.150) Prec@5 71.875 (72.431)
Epoch: [55][370/5005] Time 0.215 (0.213) Data 0.043 (0.049) Loss 2.3669 (2.3136) Prec@1 40.234 (47.141) Prec@5 71.875 (72.443)
Epoch: [55][380/5005] Time 0.214 (0.213) Data 0.042 (0.049) Loss 2.3855 (2.3139) Prec@1 45.312 (47.132) Prec@5 69.531 (72.432)
Epoch: [55][390/5005] Time 0.213 (0.213) Data 0.046 (0.049) Loss 2.3766 (2.3149) Prec@1 48.828 (47.136) Prec@5 72.656 (72.414)
Epoch: [55][400/5005] Time 0.218 (0.213) Data 0.044 (0.049) Loss 2.1526 (2.3128) Prec@1 50.391 (47.200) Prec@5 75.391 (72.439)
Epoch: [55][410/5005] Time 0.214 (0.213) Data 0.046 (0.049) Loss 2.2498 (2.3135) Prec@1 48.438 (47.186) Prec@5 75.391 (72.441)
Epoch: [55][420/5005] Time 0.207 (0.213) Data 0.042 (0.049) Loss 2.2530 (2.3132) Prec@1 46.875 (47.187) Prec@5 75.000 (72.453)
Epoch: [55][430/5005] Time 0.230 (0.213) Data 0.045 (0.048) Loss 2.1806 (2.3131) Prec@1 51.172 (47.172) Prec@5 78.516 (72.457)
Epoch: [55][440/5005] Time 0.214 (0.213) Data 0.043 (0.048) Loss 2.2132 (2.3129) Prec@1 50.000 (47.175) Prec@5 73.047 (72.464)
Epoch: [55][450/5005] Time 0.215 (0.213) Data 0.045 (0.048) Loss 2.2224 (2.3129) Prec@1 48.047 (47.173) Prec@5 75.000 (72.468)
Epoch: [55][460/5005] Time 0.215 (0.213) Data 0.044 (0.048) Loss 2.3475 (2.3135) Prec@1 45.312 (47.146) Prec@5 71.094 (72.465)
Epoch: [55][470/5005] Time 0.217 (0.213) Data 0.045 (0.048) Loss 2.2951 (2.3146) Prec@1 45.703 (47.142) Prec@5 74.219 (72.442)
Epoch: [55][480/5005] Time 0.206 (0.213) Data 0.048 (0.048) Loss 2.4149 (2.3142) Prec@1 43.750 (47.158) Prec@5 70.312 (72.441)
Epoch: [55][490/5005] Time 0.218 (0.213) Data 0.042 (0.048) Loss 2.3267 (2.3147) Prec@1 53.516 (47.152) Prec@5 72.266 (72.433)
Epoch: [55][500/5005] Time 0.209 (0.213) Data 0.045 (0.048) Loss 2.4189 (2.3161) Prec@1 47.266 (47.143) Prec@5 69.922 (72.406)
Epoch: [55][510/5005] Time 0.213 (0.213) Data 0.049 (0.048) Loss 2.4220 (2.3164) Prec@1 43.750 (47.147) Prec@5 69.531 (72.402)
Epoch: [55][520/5005] Time 0.204 (0.213) Data 0.062 (0.048) Loss 2.2826 (2.3163) Prec@1 46.484 (47.142) Prec@5 74.609 (72.422)
Epoch: [55][530/5005] Time 0.208 (0.213) Data 0.061 (0.048) Loss 2.2375 (2.3164) Prec@1 48.828 (47.146) Prec@5 73.047 (72.426)
Epoch: [55][540/5005] Time 0.214 (0.213) Data 0.048 (0.048) Loss 2.3816 (2.3164) Prec@1 43.359 (47.162) Prec@5 70.703 (72.432)
Epoch: [55][550/5005] Time 0.222 (0.213) Data 0.044 (0.048) Loss 2.4045 (2.3168) Prec@1 45.312 (47.166) Prec@5 73.438 (72.431)
Epoch: [55][560/5005] Time 0.204 (0.213) Data 0.060 (0.048) Loss 2.5009 (2.3170) Prec@1 42.969 (47.164) Prec@5 73.828 (72.447)
Epoch: [55][570/5005] Time 0.218 (0.213) Data 0.047 (0.048) Loss 2.3782 (2.3181) Prec@1 46.484 (47.152) Prec@5 68.750 (72.424)
Epoch: [55][580/5005] Time 0.216 (0.213) Data 0.044 (0.048) Loss 2.3081 (2.3170) Prec@1 45.703 (47.155) Prec@5 71.094 (72.426)
Epoch: [55][590/5005] Time 0.215 (0.213) Data 0.042 (0.048) Loss 2.4692 (2.3167) Prec@1 43.359 (47.143) Prec@5 67.578 (72.408)
Epoch: [55][600/5005] Time 0.213 (0.213) Data 0.044 (0.048) Loss 2.2944 (2.3173) Prec@1 49.609 (47.136) Prec@5 71.484 (72.405)
Epoch: [55][610/5005] Time 0.202 (0.213) Data 0.043 (0.048) Loss 2.3466 (2.3176) Prec@1 46.484 (47.127) Prec@5 72.656 (72.397)
Epoch: [55][620/5005] Time 0.214 (0.213) Data 0.046 (0.048) Loss 2.3252 (2.3183) Prec@1 49.609 (47.142) Prec@5 71.875 (72.388)
Epoch: [55][630/5005] Time 0.221 (0.213) Data 0.043 (0.048) Loss 2.4512 (2.3179) Prec@1 46.094 (47.159) Prec@5 71.875 (72.391)
Epoch: [55][640/5005] Time 0.203 (0.213) Data 0.046 (0.048) Loss 2.2471 (2.3179) Prec@1 47.266 (47.152) Prec@5 71.484 (72.392)
Epoch: [55][650/5005] Time 0.205 (0.213) Data 0.043 (0.048) Loss 2.4489 (2.3192) Prec@1 41.406 (47.125) Prec@5 70.312 (72.384)
Epoch: [55][660/5005] Time 0.209 (0.213) Data 0.044 (0.048) Loss 2.4518 (2.3181) Prec@1 44.922 (47.149) Prec@5 70.703 (72.396)
Epoch: [55][670/5005] Time 0.216 (0.213) Data 0.056 (0.048) Loss 2.5496 (2.3180) Prec@1 44.922 (47.157) Prec@5 68.750 (72.394)
Epoch: [55][680/5005] Time 0.208 (0.213) Data 0.041 (0.048) Loss 2.3165 (2.3176) Prec@1 45.703 (47.162) Prec@5 76.953 (72.409)
Epoch: [55][690/5005] Time 0.212 (0.213) Data 0.043 (0.048) Loss 2.0355 (2.3168) Prec@1 48.828 (47.178) Prec@5 79.688 (72.430)
Epoch: [55][700/5005] Time 0.212 (0.213) Data 0.065 (0.048) Loss 2.3248 (2.3164) Prec@1 43.359 (47.172) Prec@5 71.484 (72.451)
Epoch: [55][710/5005] Time 0.207 (0.213) Data 0.059 (0.049) Loss 2.0812 (2.3159) Prec@1 47.656 (47.188) Prec@5 74.219 (72.446)
Epoch: [55][720/5005] Time 0.202 (0.213) Data 0.058 (0.049) Loss 2.2241 (2.3147) Prec@1 45.703 (47.208) Prec@5 74.219 (72.470)
Epoch: [55][730/5005] Time 0.216 (0.213) Data 0.046 (0.049) Loss 2.5526 (2.3147) Prec@1 46.094 (47.227) Prec@5 67.188 (72.463)
Epoch: [55][740/5005] Time 0.213 (0.213) Data 0.052 (0.049) Loss 2.3589 (2.3143) Prec@1 44.922 (47.214) Prec@5 69.141 (72.462)
Epoch: [55][750/5005] Time 0.223 (0.213) Data 0.044 (0.049) Loss 2.2302 (2.3141) Prec@1 47.266 (47.215) Prec@5 74.219 (72.465)
Epoch: [55][760/5005] Time 0.215 (0.213) Data 0.045 (0.049) Loss 2.3835 (2.3143) Prec@1 44.922 (47.197) Prec@5 74.609 (72.463)
Epoch: [55][770/5005] Time 0.219 (0.213) Data 0.045 (0.049) Loss 2.2868 (2.3127) Prec@1 48.438 (47.241) Prec@5 72.266 (72.488)
Epoch: [55][780/5005] Time 0.206 (0.213) Data 0.041 (0.049) Loss 2.4311 (2.3126) Prec@1 46.094 (47.230) Prec@5 68.359 (72.489)
Epoch: [55][790/5005] Time 0.206 (0.213) Data 0.039 (0.049) Loss 2.3278 (2.3117) Prec@1 49.609 (47.256) Prec@5 69.141 (72.505)
Epoch: [55][800/5005] Time 0.215 (0.213) Data 0.042 (0.048) Loss 2.1805 (2.3110) Prec@1 50.391 (47.284) Prec@5 76.953 (72.513)
Epoch: [55][810/5005] Time 0.210 (0.213) Data 0.059 (0.048) Loss 2.3339 (2.3109) Prec@1 44.141 (47.285) Prec@5 74.609 (72.519)
Epoch: [55][820/5005] Time 0.219 (0.213) Data 0.045 (0.048) Loss 2.4224 (2.3111) Prec@1 45.703 (47.284) Prec@5 71.484 (72.526)
Epoch: [55][830/5005] Time 0.210 (0.213) Data 0.044 (0.048) Loss 2.2347 (2.3106) Prec@1 47.656 (47.288) Prec@5 72.656 (72.539)
Epoch: [55][840/5005] Time 0.213 (0.213) Data 0.048 (0.049) Loss 2.2512 (2.3105) Prec@1 48.438 (47.298) Prec@5 73.828 (72.543)
Epoch: [55][850/5005] Time 0.208 (0.213) Data 0.046 (0.049) Loss 2.5242 (2.3100) Prec@1 44.922 (47.312) Prec@5 71.094 (72.548)
Epoch: [55][860/5005] Time 0.208 (0.213) Data 0.042 (0.049) Loss 2.2895 (2.3097) Prec@1 46.094 (47.328) Prec@5 69.531 (72.551)
Epoch: [55][870/5005] Time 0.215 (0.213) Data 0.044 (0.049) Loss 2.3026 (2.3087) Prec@1 45.312 (47.354) Prec@5 74.219 (72.574)
Epoch: [55][880/5005] Time 0.212 (0.213) Data 0.042 (0.048) Loss 2.3200 (2.3093) Prec@1 42.188 (47.335) Prec@5 73.047 (72.571)
Epoch: [55][890/5005] Time 0.216 (0.213) Data 0.041 (0.048) Loss 2.5469 (2.3090) Prec@1 43.359 (47.330) Prec@5 67.969 (72.570)
Epoch: [55][900/5005] Time 0.209 (0.213) Data 0.048 (0.048) Loss 2.2451 (2.3085) Prec@1 41.797 (47.327) Prec@5 75.391 (72.570)
Epoch: [55][910/5005] Time 0.203 (0.213) Data 0.046 (0.048) Loss 2.2496 (2.3084) Prec@1 46.875 (47.318) Prec@5 75.781 (72.576)
Epoch: [55][920/5005] Time 0.210 (0.213) Data 0.042 (0.048) Loss 2.2892 (2.3079) Prec@1 45.703 (47.321) Prec@5 73.828 (72.585)
Epoch: [55][930/5005] Time 0.214 (0.213) Data 0.041 (0.048) Loss 2.2410 (2.3071) Prec@1 50.781 (47.345) Prec@5 75.000 (72.603)
Epoch: [55][940/5005] Time 0.214 (0.213) Data 0.045 (0.048) Loss 2.0833 (2.3071) Prec@1 49.609 (47.345) Prec@5 75.391 (72.608)
Epoch: [55][950/5005] Time 0.200 (0.213) Data 0.061 (0.048) Loss 2.3339 (2.3078) Prec@1 48.047 (47.333) Prec@5 73.438 (72.602)
Epoch: [55][960/5005] Time 0.202 (0.213) Data 0.062 (0.048) Loss 2.4657 (2.3080) Prec@1 45.312 (47.322) Prec@5 69.922 (72.590)
Epoch: [55][970/5005] Time 0.221 (0.213) Data 0.044 (0.048) Loss 2.1424 (2.3078) Prec@1 51.562 (47.327) Prec@5 76.562 (72.587)
Epoch: [55][980/5005] Time 0.208 (0.213) Data 0.041 (0.048) Loss 2.1800 (2.3072) Prec@1 48.047 (47.335) Prec@5 75.391 (72.600)
Epoch: [55][990/5005] Time 0.211 (0.213) Data 0.044 (0.048) Loss 2.4164 (2.3076) Prec@1 42.969 (47.316) Prec@5 70.312 (72.595)
Epoch: [55][1000/5005] Time 0.205 (0.213) Data 0.044 (0.048) Loss 2.2159 (2.3073) Prec@1 50.391 (47.329) Prec@5 75.000 (72.597)
Epoch: [55][1010/5005] Time 0.216 (0.213) Data 0.041 (0.048) Loss 2.2740 (2.3067) Prec@1 46.094 (47.327) Prec@5 72.266 (72.608)
Epoch: [55][1020/5005] Time 0.210 (0.213) Data 0.042 (0.048) Loss 2.1054 (2.3075) Prec@1 53.516 (47.323) Prec@5 76.172 (72.581)
Epoch: [55][1030/5005] Time 0.221 (0.213) Data 0.046 (0.048) Loss 2.1682 (2.3073) Prec@1 51.172 (47.330) Prec@5 73.047 (72.585)
Epoch: [55][1040/5005] Time 0.198 (0.214) Data 0.042 (0.048) Loss 2.4702 (2.3074) Prec@1 44.141 (47.328) Prec@5 69.531 (72.584)
Epoch: [55][1050/5005] Time 0.197 (0.214) Data 0.042 (0.048) Loss 2.5092 (2.3080) Prec@1 46.484 (47.324) Prec@5 71.094 (72.579)
Epoch: [55][1060/5005] Time 0.200 (0.214) Data 0.043 (0.048) Loss 2.4576 (2.3085) Prec@1 46.875 (47.323) Prec@5 69.531 (72.577)
Epoch: [55][1070/5005] Time 0.195 (0.213) Data 0.062 (0.048) Loss 2.3364 (2.3085) Prec@1 43.750 (47.321) Prec@5 73.047 (72.571)
Epoch: [55][1080/5005] Time 0.208 (0.213) Data 0.061 (0.048) Loss 2.4189 (2.3088) Prec@1 44.922 (47.313) Prec@5 68.359 (72.567)
Epoch: [55][1090/5005] Time 0.200 (0.213) Data 0.063 (0.048) Loss 2.1463 (2.3083) Prec@1 50.781 (47.332) Prec@5 75.391 (72.575)
Epoch: [55][1100/5005] Time 0.210 (0.213) Data 0.046 (0.048) Loss 2.1621 (2.3076) Prec@1 51.172 (47.343) Prec@5 73.047 (72.580)
Epoch: [55][1110/5005] Time 0.212 (0.213) Data 0.043 (0.048) Loss 2.2819 (2.3077) Prec@1 48.828 (47.350) Prec@5 73.828 (72.575)
Epoch: [55][1120/5005] Time 0.216 (0.213) Data 0.044 (0.048) Loss 2.1531 (2.3074) Prec@1 50.000 (47.354) Prec@5 75.391 (72.576)
Epoch: [55][1130/5005] Time 0.214 (0.213) Data 0.045 (0.048) Loss 2.4098 (2.3075) Prec@1 48.438 (47.356) Prec@5 70.703 (72.574)
Epoch: [55][1140/5005] Time 0.208 (0.213) Data 0.042 (0.048) Loss 2.3046 (2.3069) Prec@1 46.094 (47.360) Prec@5 70.312 (72.592)
Epoch: [55][1150/5005] Time 0.208 (0.213) Data 0.059 (0.048) Loss 2.2437 (2.3066) Prec@1 44.922 (47.368) Prec@5 74.219 (72.598)
Epoch: [55][1160/5005] Time 0.224 (0.213) Data 0.042 (0.048) Loss 2.2958 (2.3064) Prec@1 51.172 (47.375) Prec@5 74.609 (72.594)
Epoch: [55][1170/5005] Time 0.217 (0.213) Data 0.047 (0.048) Loss 2.1941 (2.3062) Prec@1 50.391 (47.381) Prec@5 74.219 (72.595)
Epoch: [55][1180/5005] Time 0.204 (0.213) Data 0.052 (0.048) Loss 2.2977 (2.3060) Prec@1 46.094 (47.381) Prec@5 69.922 (72.598)
Epoch: [55][1190/5005] Time 0.207 (0.213) Data 0.047 (0.048) Loss 2.1835 (2.3056) Prec@1 46.875 (47.390) Prec@5 75.781 (72.608)
Epoch: [55][1200/5005] Time 0.217 (0.213) Data 0.044 (0.048) Loss 2.4595 (2.3058) Prec@1 42.578 (47.383) Prec@5 70.312 (72.606)
Epoch: [55][1210/5005] Time 0.208 (0.213) Data 0.044 (0.048) Loss 2.3303 (2.3064) Prec@1 48.828 (47.372) Prec@5 72.656 (72.601)
Epoch: [55][1220/5005] Time 0.193 (0.213) Data 0.059 (0.048) Loss 2.1994 (2.3064) Prec@1 49.219 (47.376) Prec@5 75.781 (72.605)
Epoch: [55][1230/5005] Time 0.204 (0.213) Data 0.057 (0.048) Loss 2.3455 (2.3065) Prec@1 50.781 (47.366) Prec@5 73.047 (72.612)
Epoch: [55][1240/5005] Time 0.208 (0.213) Data 0.054 (0.048) Loss 2.4391 (2.3066) Prec@1 46.094 (47.358) Prec@5 67.969 (72.606)
Epoch: [55][1250/5005] Time 0.200 (0.213) Data 0.051 (0.048) Loss 2.4620 (2.3066) Prec@1 44.531 (47.353) Prec@5 69.141 (72.603)
Epoch: [55][1260/5005] Time 0.202 (0.213) Data 0.046 (0.048) Loss 2.0571 (2.3062) Prec@1 51.562 (47.365) Prec@5 75.391 (72.610)
Epoch: [55][1270/5005] Time 0.216 (0.213) Data 0.045 (0.048) Loss 2.3204 (2.3069) Prec@1 48.438 (47.364) Prec@5 72.656 (72.594)
Epoch: [55][1280/5005] Time 0.211 (0.213) Data 0.055 (0.048) Loss 2.2317 (2.3070) Prec@1 47.656 (47.360) Prec@5 74.219 (72.598)
Epoch: [55][1290/5005] Time 0.215 (0.213) Data 0.042 (0.048) Loss 2.1895 (2.3066) Prec@1 50.000 (47.367) Prec@5 72.656 (72.596)
Epoch: [55][1300/5005] Time 0.211 (0.213) Data 0.042 (0.048) Loss 2.1351 (2.3063) Prec@1 48.438 (47.376) Prec@5 78.516 (72.607)
Epoch: [55][1310/5005] Time 0.220 (0.213) Data 0.046 (0.048) Loss 2.3602 (2.3063) Prec@1 44.531 (47.368) Prec@5 73.047 (72.606)
Epoch: [55][1320/5005] Time 0.208 (0.213) Data 0.044 (0.048) Loss 2.4414 (2.3065) Prec@1 43.750 (47.363) Prec@5 67.969 (72.604)
Epoch: [55][1330/5005] Time 0.211 (0.213) Data 0.044 (0.048) Loss 2.3555 (2.3067) Prec@1 45.703 (47.359) Prec@5 69.531 (72.598)
Epoch: [55][1340/5005] Time 0.209 (0.213) Data 0.044 (0.048) Loss 2.3579 (2.3065) Prec@1 44.531 (47.367) Prec@5 72.656 (72.602)
Epoch: [55][1350/5005] Time 0.210 (0.213) Data 0.050 (0.048) Loss 2.6646 (2.3070) Prec@1 44.141 (47.351) Prec@5 69.141 (72.592)
Epoch: [55][1360/5005] Time 0.216 (0.213) Data 0.047 (0.048) Loss 2.1922 (2.3069) Prec@1 49.219 (47.352) Prec@5 76.953 (72.589)
Epoch: [55][1370/5005] Time 0.214 (0.213) Data 0.042 (0.048) Loss 2.3759 (2.3065) Prec@1 47.656 (47.355) Prec@5 71.875 (72.596)
Epoch: [55][1380/5005] Time 0.201 (0.213) Data 0.063 (0.048) Loss 2.2948 (2.3065) Prec@1 49.609 (47.360) Prec@5 76.953 (72.603)
Epoch: [55][1390/5005] Time 0.211 (0.213) Data 0.051 (0.048) Loss 2.2125 (2.3064) Prec@1 46.875 (47.360) Prec@5 76.953 (72.604)
Epoch: [55][1400/5005] Time 0.194 (0.213) Data 0.056 (0.048) Loss 2.3512 (2.3057) Prec@1 48.828 (47.370) Prec@5 76.953 (72.619)
Epoch: [55][1410/5005] Time 0.204 (0.213) Data 0.043 (0.048) Loss 2.2555 (2.3054) Prec@1 46.094 (47.371) Prec@5 73.438 (72.631)
Epoch: [55][1420/5005] Time 0.217 (0.213) Data 0.049 (0.048) Loss 2.4265 (2.3055) Prec@1 43.359 (47.359) Prec@5 71.484 (72.632)
Epoch: [55][1430/5005] Time 0.203 (0.213) Data 0.043 (0.048) Loss 1.9673 (2.3052) Prec@1 53.906 (47.369) Prec@5 79.297 (72.640)
Epoch: [55][1440/5005] Time 0.211 (0.213) Data 0.044 (0.048) Loss 2.1315 (2.3050) Prec@1 51.562 (47.376) Prec@5 78.125 (72.645)
Epoch: [55][1450/5005] Time 0.213 (0.213) Data 0.043 (0.048) Loss 2.3041 (2.3049) Prec@1 49.219 (47.378) Prec@5 73.828 (72.651)
Epoch: [55][1460/5005] Time 0.208 (0.213) Data 0.042 (0.048) Loss 2.2773 (2.3044) Prec@1 45.703 (47.382) Prec@5 72.656 (72.658)
Epoch: [55][1470/5005] Time 0.210 (0.213) Data 0.044 (0.048) Loss 2.3540 (2.3045) Prec@1 45.703 (47.389) Prec@5 71.094 (72.659)
Epoch: [55][1480/5005] Time 0.212 (0.212) Data 0.042 (0.048) Loss 2.0621 (2.3044) Prec@1 53.516 (47.388) Prec@5 76.172 (72.663)
Epoch: [55][1490/5005] Time 0.211 (0.212) Data 0.043 (0.048) Loss 2.5332 (2.3044) Prec@1 42.969 (47.388) Prec@5 68.359 (72.661)
Epoch: [55][1500/5005] Time 0.214 (0.212) Data 0.042 (0.048) Loss 2.2255 (2.3040) Prec@1 51.953 (47.398) Prec@5 75.000 (72.673)
Epoch: [55][1510/5005] Time 0.215 (0.212) Data 0.043 (0.048) Loss 2.0865 (2.3037) Prec@1 50.781 (47.407) Prec@5 75.391 (72.675)
Epoch: [55][1520/5005] Time 0.207 (0.212) Data 0.043 (0.048) Loss 2.3221 (2.3036) Prec@1 50.781 (47.411) Prec@5 73.438 (72.680)
Epoch: [55][1530/5005] Time 0.210 (0.212) Data 0.047 (0.048) Loss 2.4498 (2.3038) Prec@1 45.312 (47.405) Prec@5 73.438 (72.675)
Epoch: [55][1540/5005] Time 0.207 (0.212) Data 0.039 (0.048) Loss 2.3852 (2.3042) Prec@1 42.578 (47.393) Prec@5 70.312 (72.665)
Epoch: [55][1550/5005] Time 0.216 (0.212) Data 0.044 (0.048) Loss 2.2288 (2.3040) Prec@1 47.266 (47.399) Prec@5 76.562 (72.665)
Epoch: [55][1560/5005] Time 0.206 (0.212) Data 0.044 (0.048) Loss 2.1612 (2.3041) Prec@1 49.219 (47.401) Prec@5 73.438 (72.665)
Epoch: [55][1570/5005] Time 0.211 (0.212) Data 0.044 (0.048) Loss 2.2408 (2.3036) Prec@1 50.781 (47.424) Prec@5 74.219 (72.680)
Epoch: [55][1580/5005] Time 0.212 (0.212) Data 0.041 (0.048) Loss 2.1618 (2.3038) Prec@1 50.391 (47.419) Prec@5 76.953 (72.680)
Epoch: [55][1590/5005] Time 0.209 (0.212) Data 0.046 (0.048) Loss 2.3319 (2.3038) Prec@1 48.828 (47.419) Prec@5 70.312 (72.681)
Epoch: [55][1600/5005] Time 0.211 (0.212) Data 0.050 (0.048) Loss 2.2332 (2.3038) Prec@1 49.219 (47.421) Prec@5 74.219 (72.683)
Epoch: [55][1610/5005] Time 0.206 (0.212) Data 0.040 (0.048) Loss 2.5426 (2.3038) Prec@1 45.703 (47.429) Prec@5 68.359 (72.679)
Epoch: [55][1620/5005] Time 0.212 (0.212) Data 0.043 (0.048) Loss 2.4547 (2.3037) Prec@1 43.359 (47.436) Prec@5 73.828 (72.678)
Epoch: [55][1630/5005] Time 0.212 (0.212) Data 0.042 (0.048) Loss 2.1598 (2.3037) Prec@1 50.781 (47.436) Prec@5 73.047 (72.673)
Epoch: [55][1640/5005] Time 0.211 (0.212) Data 0.043 (0.048) Loss 2.3202 (2.3039) Prec@1 48.047 (47.432) Prec@5 72.266 (72.670)
Epoch: [55][1650/5005] Time 0.213 (0.212) Data 0.042 (0.048) Loss 2.2949 (2.3039) Prec@1 49.219 (47.435) Prec@5 73.438 (72.668)
Epoch: [55][1660/5005] Time 0.210 (0.212) Data 0.043 (0.048) Loss 2.1661 (2.3034) Prec@1 51.172 (47.448) Prec@5 75.781 (72.677)
Epoch: [55][1670/5005] Time 0.198 (0.212) Data 0.049 (0.048) Loss 2.1066 (2.3034) Prec@1 52.344 (47.442) Prec@5 76.562 (72.677)
Epoch: [55][1680/5005] Time 0.212 (0.212) Data 0.053 (0.048) Loss 2.3706 (2.3035) Prec@1 48.828 (47.440) Prec@5 69.531 (72.672)
Epoch: [55][1690/5005] Time 0.211 (0.212) Data 0.048 (0.048) Loss 2.3410 (2.3033) Prec@1 48.438 (47.443) Prec@5 71.875 (72.677)
Epoch: [55][1700/5005] Time 0.209 (0.212) Data 0.044 (0.048) Loss 2.2259 (2.3029) Prec@1 46.875 (47.447) Prec@5 75.781 (72.680)
Epoch: [55][1710/5005] Time 0.208 (0.212) Data 0.063 (0.048) Loss 2.0904 (2.3024) Prec@1 48.438 (47.452) Prec@5 76.953 (72.688)
Epoch: [55][1720/5005] Time 0.211 (0.212) Data 0.047 (0.048) Loss 2.3994 (2.3023) Prec@1 41.797 (47.443) Prec@5 73.828 (72.690)
Epoch: [55][1730/5005] Time 0.203 (0.212) Data 0.046 (0.048) Loss 2.2047 (2.3025) Prec@1 47.266 (47.441) Prec@5 76.953 (72.691)
Epoch: [55][1740/5005] Time 0.212 (0.212) Data 0.041 (0.048) Loss 2.4339 (2.3020) Prec@1 46.484 (47.453) Prec@5 71.094 (72.699)
Epoch: [55][1750/5005] Time 0.203 (0.212) Data 0.055 (0.048) Loss 2.2922 (2.3017) Prec@1 48.828 (47.463) Prec@5 75.391 (72.702)
Epoch: [55][1760/5005] Time 0.206 (0.212) Data 0.044 (0.048) Loss 2.0466 (2.3015) Prec@1 51.953 (47.466) Prec@5 76.562 (72.701)
Epoch: [55][1770/5005] Time 0.209 (0.212) Data 0.050 (0.048) Loss 2.2320 (2.3010) Prec@1 46.094 (47.476) Prec@5 75.781 (72.712)
Epoch: [55][1780/5005] Time 0.201 (0.212) Data 0.048 (0.048) Loss 2.1017 (2.3010) Prec@1 50.000 (47.475) Prec@5 77.734 (72.716)
Epoch: [55][1790/5005] Time 0.209 (0.212) Data 0.045 (0.048) Loss 2.0574 (2.3007) Prec@1 51.953 (47.474) Prec@5 75.781 (72.714)
Epoch: [55][1800/5005] Time 0.209 (0.212) Data 0.045 (0.048) Loss 2.3472 (2.3004) Prec@1 44.922 (47.482) Prec@5 73.828 (72.723)
Epoch: [55][1810/5005] Time 0.221 (0.212) Data 0.046 (0.048) Loss 2.2349 (2.3002) Prec@1 48.047 (47.485) Prec@5 73.047 (72.727)
Epoch: [55][1820/5005] Time 0.214 (0.212) Data 0.043 (0.048) Loss 2.3051 (2.3001) Prec@1 46.484 (47.488) Prec@5 73.047 (72.731)
Epoch: [55][1830/5005] Time 0.214 (0.212) Data 0.043 (0.048) Loss 2.0303 (2.2996) Prec@1 55.469 (47.496) Prec@5 78.125 (72.744)
Epoch: [55][1840/5005] Time 0.209 (0.212) Data 0.044 (0.048) Loss 2.2850 (2.2993) Prec@1 48.047 (47.506) Prec@5 72.656 (72.746)
Epoch: [55][1850/5005] Time 0.206 (0.212) Data 0.041 (0.048) Loss 2.2642 (2.2991) Prec@1 46.875 (47.507) Prec@5 75.391 (72.748)
Epoch: [55][1860/5005] Time 0.209 (0.212) Data 0.046 (0.048) Loss 2.2128 (2.2994) Prec@1 54.688 (47.504) Prec@5 73.828 (72.745)
Epoch: [55][1870/5005] Time 0.202 (0.212) Data 0.043 (0.048) Loss 2.4992 (2.2997) Prec@1 44.141 (47.495) Prec@5 68.750 (72.741)
Epoch: [55][1880/5005] Time 0.211 (0.212) Data 0.047 (0.048) Loss 2.2856 (2.2997) Prec@1 50.781 (47.495) Prec@5 71.094 (72.743)
Epoch: [55][1890/5005] Time 0.205 (0.212) Data 0.042 (0.048) Loss 2.2899 (2.2994) Prec@1 46.875 (47.500) Prec@5 70.703 (72.744)
Epoch: [55][1900/5005] Time 0.209 (0.212) Data 0.042 (0.048) Loss 2.2268 (2.2998) Prec@1 49.219 (47.494) Prec@5 74.219 (72.742)
Epoch: [55][1910/5005] Time 0.211 (0.212) Data 0.045 (0.047) Loss 2.1758 (2.2997) Prec@1 48.828 (47.495) Prec@5 74.609 (72.740)
Epoch: [55][1920/5005] Time 0.213 (0.212) Data 0.047 (0.047) Loss 2.1753 (2.2994) Prec@1 46.094 (47.496) Prec@5 76.953 (72.747)
Epoch: [55][1930/5005] Time 0.207 (0.212) Data 0.044 (0.047) Loss 2.1408 (2.2991) Prec@1 49.219 (47.504) Prec@5 76.172 (72.755)
Epoch: [55][1940/5005] Time 0.195 (0.212) Data 0.041 (0.047) Loss 1.9826 (2.2988) Prec@1 54.688 (47.504) Prec@5 77.344 (72.763)
Epoch: [55][1950/5005] Time 0.200 (0.212) Data 0.041 (0.047) Loss 2.3521 (2.2985) Prec@1 49.219 (47.511) Prec@5 71.875 (72.770)
Epoch: [55][1960/5005] Time 0.210 (0.212) Data 0.047 (0.047) Loss 2.1998 (2.2980) Prec@1 50.000 (47.522) Prec@5 72.266 (72.778)
Epoch: [55][1970/5005] Time 0.215 (0.212) Data 0.042 (0.047) Loss 2.2175 (2.2981) Prec@1 50.000 (47.518) Prec@5 72.656 (72.774)
Epoch: [55][1980/5005] Time 0.208 (0.212) Data 0.048 (0.047) Loss 2.1014 (2.2979) Prec@1 51.172 (47.524) Prec@5 75.391 (72.778)
Epoch: [55][1990/5005] Time 0.203 (0.212) Data 0.065 (0.047) Loss 2.0065 (2.2977) Prec@1 55.078 (47.530) Prec@5 76.953 (72.779)
Epoch: [55][2000/5005] Time 0.209 (0.212) Data 0.045 (0.047) Loss 2.1802 (2.2978) Prec@1 52.734 (47.527) Prec@5 74.219 (72.778)
Epoch: [55][2010/5005] Time 0.202 (0.212) Data 0.057 (0.047) Loss 2.2041 (2.2979) Prec@1 50.391 (47.527) Prec@5 74.609 (72.777)
Epoch: [55][2020/5005] Time 0.212 (0.212) Data 0.047 (0.047) Loss 2.3184 (2.2980) Prec@1 47.656 (47.529) Prec@5 73.828 (72.773)
Epoch: [55][2030/5005] Time 0.196 (0.212) Data 0.043 (0.047) Loss 2.1913 (2.2982) Prec@1 48.438 (47.529) Prec@5 77.734 (72.771)
Epoch: [55][2040/5005] Time 0.224 (0.212) Data 0.042 (0.047) Loss 2.2216 (2.2981) Prec@1 48.438 (47.535) Prec@5 73.438 (72.773)
Epoch: [55][2050/5005] Time 0.215 (0.212) Data 0.044 (0.047) Loss 2.3894 (2.2979) Prec@1 45.703 (47.540) Prec@5 71.094 (72.777)
Epoch: [55][2060/5005] Time 0.196 (0.212) Data 0.049 (0.047) Loss 2.1895 (2.2977) Prec@1 47.266 (47.538) Prec@5 71.094 (72.776)
Epoch: [55][2070/5005] Time 0.213 (0.212) Data 0.046 (0.047) Loss 2.4938 (2.2980) Prec@1 43.750 (47.533) Prec@5 68.359 (72.764)
Epoch: [55][2080/5005] Time 0.214 (0.212) Data 0.041 (0.047) Loss 2.2497 (2.2978) Prec@1 50.000 (47.541) Prec@5 76.172 (72.769)
Epoch: [55][2090/5005] Time 0.214 (0.212) Data 0.042 (0.047) Loss 2.1550 (2.2975) Prec@1 50.000 (47.548) Prec@5 75.000 (72.771)
Epoch: [55][2100/5005] Time 0.212 (0.212) Data 0.043 (0.047) Loss 2.2638 (2.2973) Prec@1 45.703 (47.550) Prec@5 74.219 (72.773)
Epoch: [55][2110/5005] Time 0.210 (0.212) Data 0.042 (0.047) Loss 2.0841 (2.2972) Prec@1 49.609 (47.546) Prec@5 78.516 (72.774)
Epoch: [55][2120/5005] Time 0.218 (0.212) Data 0.042 (0.047) Loss 2.5162 (2.2971) Prec@1 44.141 (47.549) Prec@5 68.359 (72.780)
Epoch: [55][2130/5005] Time 0.208 (0.212) Data 0.042 (0.047) Loss 2.2378 (2.2967) Prec@1 46.875 (47.554) Prec@5 75.391 (72.787)
Epoch: [55][2140/5005] Time 0.214 (0.212) Data 0.044 (0.047) Loss 2.1398 (2.2967) Prec@1 47.266 (47.553) Prec@5 75.391 (72.787)
Epoch: [55][2150/5005] Time 0.208 (0.212) Data 0.042 (0.047) Loss 2.0236 (2.2968) Prec@1 51.562 (47.544) Prec@5 75.781 (72.788)
Epoch: [55][2160/5005] Time 0.213 (0.211) Data 0.044 (0.047) Loss 2.2042 (2.2967) Prec@1 49.219 (47.549) Prec@5 75.391 (72.793)
Epoch: [55][2170/5005] Time 0.206 (0.211) Data 0.040 (0.047) Loss 2.1889 (2.2963) Prec@1 45.703 (47.554) Prec@5 73.047 (72.801)
Epoch: [55][2180/5005] Time 0.207 (0.211) Data 0.046 (0.047) Loss 2.3208 (2.2961) Prec@1 50.781 (47.556) Prec@5 70.703 (72.802)
Epoch: [55][2190/5005] Time 0.208 (0.211) Data 0.043 (0.047) Loss 2.4242 (2.2961) Prec@1 42.969 (47.559) Prec@5 67.969 (72.800)
Epoch: [55][2200/5005] Time 0.209 (0.211) Data 0.045 (0.047) Loss 2.2401 (2.2963) Prec@1 47.266 (47.553) Prec@5 72.656 (72.798)
Epoch: [55][2210/5005] Time 0.204 (0.211) Data 0.040 (0.047) Loss 2.3345 (2.2966) Prec@1 43.359 (47.546) Prec@5 69.922 (72.794)
Epoch: [55][2220/5005] Time 0.228 (0.211) Data 0.046 (0.047) Loss 2.4771 (2.2963) Prec@1 46.094 (47.550) Prec@5 67.578 (72.798)
Epoch: [55][2230/5005] Time 0.213 (0.211) Data 0.044 (0.047) Loss 2.3158 (2.2962) Prec@1 46.875 (47.553) Prec@5 73.828 (72.799)
Epoch: [55][2240/5005] Time 0.199 (0.211) Data 0.039 (0.047) Loss 2.3322 (2.2962) Prec@1 48.047 (47.555) Prec@5 72.266 (72.798)
Epoch: [55][2250/5005] Time 0.213 (0.211) Data 0.042 (0.047) Loss 2.1556 (2.2963) Prec@1 45.703 (47.547) Prec@5 75.781 (72.798)
Epoch: [55][2260/5005] Time 0.196 (0.211) Data 0.062 (0.047) Loss 2.3280 (2.2959) Prec@1 48.828 (47.554) Prec@5 71.484 (72.805)
Epoch: [55][2270/5005] Time 0.210 (0.211) Data 0.045 (0.047) Loss 2.4496 (2.2957) Prec@1 45.703 (47.562) Prec@5 69.531 (72.808)
Epoch: [55][2280/5005] Time 0.208 (0.211) Data 0.050 (0.047) Loss 2.2647 (2.2956) Prec@1 50.000 (47.564) Prec@5 75.781 (72.814)
Epoch: [55][2290/5005] Time 0.210 (0.211) Data 0.043 (0.047) Loss 2.1614 (2.2956) Prec@1 52.734 (47.567) Prec@5 73.047 (72.811)
Epoch: [55][2300/5005] Time 0.209 (0.211) Data 0.042 (0.047) Loss 2.2272 (2.2956) Prec@1 50.391 (47.566) Prec@5 74.219 (72.810)
Epoch: [55][2310/5005] Time 0.214 (0.211) Data 0.043 (0.047) Loss 2.0488 (2.2955) Prec@1 53.906 (47.574) Prec@5 75.781 (72.811)
Epoch: [55][2320/5005] Time 0.214 (0.211) Data 0.044 (0.047) Loss 2.3736 (2.2954) Prec@1 49.219 (47.574) Prec@5 70.703 (72.810)
Epoch: [55][2330/5005] Time 0.213 (0.211) Data 0.046 (0.047) Loss 2.2545 (2.2951) Prec@1 49.609 (47.576) Prec@5 73.828 (72.816)
Epoch: [55][2340/5005] Time 0.205 (0.211) Data 0.046 (0.047) Loss 2.1380 (2.2949) Prec@1 51.172 (47.580) Prec@5 74.219 (72.819)
Epoch: [55][2350/5005] Time 0.214 (0.211) Data 0.043 (0.047) Loss 2.1880 (2.2947) Prec@1 49.219 (47.582) Prec@5 73.047 (72.821)
Epoch: [55][2360/5005] Time 0.210 (0.211) Data 0.040 (0.047) Loss 2.2095 (2.2946) Prec@1 52.344 (47.584) Prec@5 75.000 (72.821)
Epoch: [55][2370/5005] Time 0.212 (0.211) Data 0.047 (0.047) Loss 2.3314 (2.2947) Prec@1 44.141 (47.581) Prec@5 69.531 (72.817)
Epoch: [55][2380/5005] Time 0.208 (0.211) Data 0.042 (0.047) Loss 2.1935 (2.2944) Prec@1 48.438 (47.584) Prec@5 72.266 (72.819)
Epoch: [55][2390/5005] Time 0.213 (0.211) Data 0.044 (0.047) Loss 2.2787 (2.2942) Prec@1 47.266 (47.588) Prec@5 73.828 (72.822)
Epoch: [55][2400/5005] Time 0.202 (0.211) Data 0.051 (0.047) Loss 2.2674 (2.2944) Prec@1 47.656 (47.580) Prec@5 74.609 (72.821)
Epoch: [55][2410/5005] Time 0.210 (0.211) Data 0.055 (0.047) Loss 2.5909 (2.2944) Prec@1 45.703 (47.583) Prec@5 66.406 (72.822)
Epoch: [55][2420/5005] Time 0.200 (0.211) Data 0.047 (0.047) Loss 2.2058 (2.2941) Prec@1 52.734 (47.594) Prec@5 70.703 (72.830)
Epoch: [55][2430/5005] Time 0.213 (0.211) Data 0.047 (0.047) Loss 2.3419 (2.2942) Prec@1 48.828 (47.589) Prec@5 70.703 (72.826)
Epoch: [55][2440/5005] Time 0.210 (0.211) Data 0.048 (0.047) Loss 2.0282 (2.2942) Prec@1 55.859 (47.591) Prec@5 78.125 (72.826)
Epoch: [55][2450/5005] Time 0.205 (0.211) Data 0.040 (0.047) Loss 2.1690 (2.2940) Prec@1 51.953 (47.596) Prec@5 73.828 (72.829)
Epoch: [55][2460/5005] Time 0.213 (0.211) Data 0.046 (0.047) Loss 2.1991 (2.2938) Prec@1 48.438 (47.598) Prec@5 72.266 (72.831)
Epoch: [55][2470/5005] Time 0.204 (0.211) Data 0.047 (0.047) Loss 2.1510 (2.2936) Prec@1 53.906 (47.602) Prec@5 75.000 (72.839)
Epoch: [55][2480/5005] Time 0.208 (0.211) Data 0.064 (0.047) Loss 2.5094 (2.2938) Prec@1 42.969 (47.596) Prec@5 68.359 (72.839)
Epoch: [55][2490/5005] Time 0.212 (0.211) Data 0.047 (0.047) Loss 1.9849 (2.2939) Prec@1 53.125 (47.595) Prec@5 76.953 (72.836)
Epoch: [55][2500/5005] Time 0.207 (0.211) Data 0.051 (0.047) Loss 2.3092 (2.2938) Prec@1 44.922 (47.600) Prec@5 69.531 (72.838)
Epoch: [55][2510/5005] Time 0.200 (0.211) Data 0.047 (0.047) Loss 2.3872 (2.2938) Prec@1 48.047 (47.595) Prec@5 69.531 (72.837)
Epoch: [55][2520/5005] Time 0.208 (0.211) Data 0.047 (0.047) Loss 2.1914 (2.2939) Prec@1 48.828 (47.594) Prec@5 72.266 (72.836)
Epoch: [55][2530/5005] Time 0.210 (0.211) Data 0.051 (0.047) Loss 2.4297 (2.2940) Prec@1 44.141 (47.594) Prec@5 71.094 (72.831)
Epoch: [55][2540/5005] Time 0.214 (0.211) Data 0.048 (0.047) Loss 2.3439 (2.2941) Prec@1 48.828 (47.595) Prec@5 72.656 (72.832)
Epoch: [55][2550/5005] Time 0.204 (0.211) Data 0.040 (0.047) Loss 2.1850 (2.2939) Prec@1 50.000 (47.602) Prec@5 75.000 (72.840)
Epoch: [55][2560/5005] Time 0.206 (0.211) Data 0.061 (0.047) Loss 2.4383 (2.2940) Prec@1 44.141 (47.601) Prec@5 69.531 (72.836)
Epoch: [55][2570/5005] Time 0.209 (0.211) Data 0.051 (0.047) Loss 2.3058 (2.2941) Prec@1 44.922 (47.597) Prec@5 73.438 (72.834)
Epoch: [55][2580/5005] Time 0.199 (0.211) Data 0.069 (0.047) Loss 2.3297 (2.2944) Prec@1 47.266 (47.591) Prec@5 75.391 (72.827)
Epoch: [55][2590/5005] Time 0.206 (0.211) Data 0.051 (0.047) Loss 2.4578 (2.2944) Prec@1 44.141 (47.599) Prec@5 70.312 (72.825)
Epoch: [55][2600/5005] Time 0.208 (0.211) Data 0.045 (0.047) Loss 2.3126 (2.2946) Prec@1 46.875 (47.596) Prec@5 69.531 (72.823)
Epoch: [55][2610/5005] Time 0.199 (0.211) Data 0.044 (0.047) Loss 2.4205 (2.2943) Prec@1 49.609 (47.603) Prec@5 68.750 (72.827)
Epoch: [55][2620/5005] Time 0.209 (0.211) Data 0.046 (0.047) Loss 2.2435 (2.2943) Prec@1 47.266 (47.603) Prec@5 75.781 (72.829)
Epoch: [55][2630/5005] Time 0.210 (0.211) Data 0.057 (0.047) Loss 2.5632 (2.2947) Prec@1 41.016 (47.598) Prec@5 72.266 (72.825)
Epoch: [55][2640/5005] Time 0.203 (0.211) Data 0.050 (0.047) Loss 2.3727 (2.2945) Prec@1 41.406 (47.595) Prec@5 70.703 (72.823)
Epoch: [55][2650/5005] Time 0.214 (0.211) Data 0.048 (0.047) Loss 2.5001 (2.2945) Prec@1 42.578 (47.591) Prec@5 68.359 (72.819)
Epoch: [55][2660/5005] Time 0.211 (0.211) Data 0.043 (0.047) Loss 2.3234 (2.2946) Prec@1 46.094 (47.590) Prec@5 72.656 (72.818)
Epoch: [55][2670/5005] Time 0.206 (0.211) Data 0.044 (0.047) Loss 2.0177 (2.2943) Prec@1 56.250 (47.597) Prec@5 76.953 (72.821)
Epoch: [55][2680/5005] Time 0.209 (0.211) Data 0.041 (0.047) Loss 2.1186 (2.2942) Prec@1 54.688 (47.603) Prec@5 75.000 (72.822)
Epoch: [55][2690/5005] Time 0.203 (0.211) Data 0.050 (0.047) Loss 2.1302 (2.2941) Prec@1 55.469 (47.608) Prec@5 73.828 (72.822)
Epoch: [55][2700/5005] Time 0.208 (0.211) Data 0.041 (0.047) Loss 2.3059 (2.2941) Prec@1 43.750 (47.603) Prec@5 74.609 (72.824)
Epoch: [55][2710/5005] Time 0.209 (0.211) Data 0.045 (0.047) Loss 2.1114 (2.2942) Prec@1 50.000 (47.598) Prec@5 75.391 (72.821)
Epoch: [55][2720/5005] Time 0.216 (0.211) Data 0.043 (0.047) Loss 2.1337 (2.2941) Prec@1 48.438 (47.596) Prec@5 77.344 (72.822)
Epoch: [55][2730/5005] Time 0.196 (0.211) Data 0.046 (0.047) Loss 2.3745 (2.2940) Prec@1 45.703 (47.598) Prec@5 71.875 (72.826)
Epoch: [55][2740/5005] Time 0.197 (0.211) Data 0.067 (0.047) Loss 2.1752 (2.2939) Prec@1 51.953 (47.604) Prec@5 73.828 (72.827)
Epoch: [55][2750/5005] Time 0.205 (0.211) Data 0.045 (0.047) Loss 2.2286 (2.2936) Prec@1 47.656 (47.610) Prec@5 71.484 (72.829)
Epoch: [55][2760/5005] Time 0.207 (0.211) Data 0.045 (0.047) Loss 2.3116 (2.2934) Prec@1 50.781 (47.614) Prec@5 73.438 (72.832)
Epoch: [55][2770/5005] Time 0.210 (0.211) Data 0.044 (0.047) Loss 2.1485 (2.2935) Prec@1 48.828 (47.611) Prec@5 75.000 (72.835)
Epoch: [55][2780/5005] Time 0.205 (0.211) Data 0.043 (0.047) Loss 2.4766 (2.2934) Prec@1 43.750 (47.616) Prec@5 68.359 (72.836)
Epoch: [55][2790/5005] Time 0.204 (0.211) Data 0.047 (0.047) Loss 2.6135 (2.2936) Prec@1 39.062 (47.611) Prec@5 69.922 (72.832)
Epoch: [55][2800/5005] Time 0.210 (0.211) Data 0.043 (0.047) Loss 2.0688 (2.2935) Prec@1 53.906 (47.613) Prec@5 77.734 (72.834)
Epoch: [55][2810/5005] Time 0.207 (0.211) Data 0.047 (0.047) Loss 2.4612 (2.2935) Prec@1 45.312 (47.617) Prec@5 69.922 (72.833)
Epoch: [55][2820/5005] Time 0.199 (0.211) Data 0.054 (0.047) Loss 1.9108 (2.2934) Prec@1 54.688 (47.617) Prec@5 78.516 (72.835)
Epoch: [55][2830/5005] Time 0.205 (0.211) Data 0.061 (0.047) Loss 2.5860 (2.2935) Prec@1 42.578 (47.613) Prec@5 66.016 (72.833)
Epoch: [55][2840/5005] Time 0.206 (0.211) Data 0.038 (0.048) Loss 2.3191 (2.2935) Prec@1 46.094 (47.613) Prec@5 71.094 (72.834)
Epoch: [55][2850/5005] Time 0.213 (0.211) Data 0.045 (0.048) Loss 2.3051 (2.2934) Prec@1 50.781 (47.616) Prec@5 70.312 (72.837)
Epoch: [55][2860/5005] Time 0.194 (0.211) Data 0.042 (0.048) Loss 2.3267 (2.2934) Prec@1 47.656 (47.617) Prec@5 72.266 (72.838)
Epoch: [55][2870/5005] Time 0.206 (0.211) Data 0.038 (0.047) Loss 2.1203 (2.2932) Prec@1 49.609 (47.620) Prec@5 74.609 (72.840)
Epoch: [55][2880/5005] Time 0.211 (0.211) Data 0.050 (0.048) Loss 2.2232 (2.2932) Prec@1 45.703 (47.621) Prec@5 75.781 (72.841)
Epoch: [55][2890/5005] Time 0.198 (0.211) Data 0.042 (0.048) Loss 2.2855 (2.2930) Prec@1 43.750 (47.624) Prec@5 73.047 (72.844)
Epoch: [55][2900/5005] Time 0.218 (0.211) Data 0.046 (0.048) Loss 1.9816 (2.2927) Prec@1 52.344 (47.632) Prec@5 78.125 (72.846)
Epoch: [55][2910/5005] Time 0.208 (0.211) Data 0.042 (0.048) Loss 2.1538 (2.2927) Prec@1 48.828 (47.631) Prec@5 76.953 (72.846)
Epoch: [55][2920/5005] Time 0.208 (0.211) Data 0.046 (0.048) Loss 2.3083 (2.2927) Prec@1 51.172 (47.632) Prec@5 72.656 (72.847)
Epoch: [55][2930/5005] Time 0.211 (0.211) Data 0.043 (0.048) Loss 2.3917 (2.2927) Prec@1 42.969 (47.632) Prec@5 71.094 (72.848)
Epoch: [55][2940/5005] Time 0.205 (0.211) Data 0.047 (0.048) Loss 2.2707 (2.2925) Prec@1 45.703 (47.630) Prec@5 75.391 (72.852)
Epoch: [55][2950/5005] Time 0.212 (0.211) Data 0.043 (0.048) Loss 2.5750 (2.2923) Prec@1 38.672 (47.634) Prec@5 69.531 (72.856)
Epoch: [55][2960/5005] Time 0.202 (0.210) Data 0.053 (0.048) Loss 2.2369 (2.2921) Prec@1 49.609 (47.642) Prec@5 74.219 (72.857)
Epoch: [55][2970/5005] Time 0.205 (0.210) Data 0.043 (0.048) Loss 2.3929 (2.2919) Prec@1 44.141 (47.642) Prec@5 71.875 (72.859)
Epoch: [55][2980/5005] Time 0.265 (0.210) Data 0.042 (0.048) Loss 2.3749 (2.2918) Prec@1 46.875 (47.644) Prec@5 72.656 (72.859)
Epoch: [55][2990/5005] Time 0.212 (0.211) Data 0.047 (0.048) Loss 2.3621 (2.2918) Prec@1 50.000 (47.640) Prec@5 72.266 (72.862)
Epoch: [55][3000/5005] Time 0.210 (0.211) Data 0.044 (0.048) Loss 2.2813 (2.2917) Prec@1 48.828 (47.641) Prec@5 74.219 (72.864)
Epoch: [55][3010/5005] Time 0.218 (0.211) Data 0.046 (0.048) Loss 2.0502 (2.2918) Prec@1 48.438 (47.641) Prec@5 77.734 (72.861)
Epoch: [55][3020/5005] Time 0.195 (0.211) Data 0.049 (0.048) Loss 2.1793 (2.2918) Prec@1 47.656 (47.642) Prec@5 76.562 (72.860)
Epoch: [55][3030/5005] Time 0.201 (0.210) Data 0.045 (0.048) Loss 2.3481 (2.2918) Prec@1 47.656 (47.642) Prec@5 71.094 (72.859)
Epoch: [55][3040/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.1796 (2.2918) Prec@1 44.922 (47.642) Prec@5 77.344 (72.859)
Epoch: [55][3050/5005] Time 0.203 (0.210) Data 0.041 (0.048) Loss 2.3372 (2.2918) Prec@1 42.188 (47.642) Prec@5 76.562 (72.863)
Epoch: [55][3060/5005] Time 0.207 (0.210) Data 0.046 (0.047) Loss 2.2167 (2.2916) Prec@1 50.000 (47.640) Prec@5 74.219 (72.867)
Epoch: [55][3070/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.1665 (2.2916) Prec@1 49.609 (47.638) Prec@5 73.828 (72.865)
Epoch: [55][3080/5005] Time 0.209 (0.210) Data 0.042 (0.047) Loss 2.1623 (2.2917) Prec@1 51.562 (47.636) Prec@5 75.000 (72.867)
Epoch: [55][3090/5005] Time 0.211 (0.210) Data 0.045 (0.047) Loss 2.5575 (2.2917) Prec@1 41.797 (47.637) Prec@5 68.359 (72.867)
Epoch: [55][3100/5005] Time 0.208 (0.210) Data 0.045 (0.047) Loss 2.2936 (2.2917) Prec@1 48.828 (47.633) Prec@5 72.266 (72.867)
Epoch: [55][3110/5005] Time 0.213 (0.210) Data 0.041 (0.047) Loss 2.0891 (2.2914) Prec@1 48.047 (47.635) Prec@5 76.953 (72.871)
Epoch: [55][3120/5005] Time 0.204 (0.210) Data 0.040 (0.047) Loss 2.2488 (2.2913) Prec@1 50.000 (47.638) Prec@5 73.438 (72.871)
Epoch: [55][3130/5005] Time 0.197 (0.210) Data 0.043 (0.047) Loss 2.2861 (2.2911) Prec@1 45.703 (47.641) Prec@5 75.000 (72.876)
Epoch: [55][3140/5005] Time 0.213 (0.210) Data 0.041 (0.047) Loss 2.1711 (2.2909) Prec@1 50.391 (47.644) Prec@5 74.609 (72.877)
Epoch: [55][3150/5005] Time 0.208 (0.210) Data 0.047 (0.047) Loss 2.3459 (2.2908) Prec@1 44.922 (47.648) Prec@5 72.656 (72.879)
Epoch: [55][3160/5005] Time 0.212 (0.210) Data 0.044 (0.047) Loss 2.1287 (2.2908) Prec@1 48.438 (47.648) Prec@5 76.953 (72.880)
Epoch: [55][3170/5005] Time 0.202 (0.210) Data 0.066 (0.047) Loss 2.3644 (2.2908) Prec@1 48.828 (47.647) Prec@5 71.875 (72.880)
Epoch: [55][3180/5005] Time 0.210 (0.210) Data 0.053 (0.047) Loss 2.2129 (2.2909) Prec@1 51.172 (47.647) Prec@5 73.438 (72.879)
Epoch: [55][3190/5005] Time 0.199 (0.210) Data 0.052 (0.047) Loss 2.3262 (2.2910) Prec@1 47.656 (47.647) Prec@5 71.094 (72.880)
Epoch: [55][3200/5005] Time 0.206 (0.210) Data 0.046 (0.047) Loss 2.3812 (2.2909) Prec@1 44.922 (47.651) Prec@5 70.703 (72.879)
Epoch: [55][3210/5005] Time 0.210 (0.210) Data 0.053 (0.048) Loss 2.3362 (2.2908) Prec@1 47.656 (47.652) Prec@5 69.922 (72.880)
Epoch: [55][3220/5005] Time 0.209 (0.210) Data 0.046 (0.048) Loss 2.4522 (2.2908) Prec@1 46.484 (47.655) Prec@5 71.094 (72.883)
Epoch: [55][3230/5005] Time 0.199 (0.210) Data 0.048 (0.048) Loss 2.1342 (2.2905) Prec@1 49.609 (47.659) Prec@5 76.172 (72.890)
Epoch: [55][3240/5005] Time 0.218 (0.210) Data 0.044 (0.048) Loss 2.5299 (2.2909) Prec@1 41.016 (47.653) Prec@5 69.141 (72.883)
Epoch: [55][3250/5005] Time 0.197 (0.210) Data 0.049 (0.048) Loss 2.1324 (2.2910) Prec@1 49.219 (47.649) Prec@5 77.734 (72.884)
Epoch: [55][3260/5005] Time 0.205 (0.210) Data 0.044 (0.048) Loss 2.2505 (2.2910) Prec@1 49.609 (47.648) Prec@5 73.438 (72.884)
Epoch: [55][3270/5005] Time 0.201 (0.210) Data 0.050 (0.048) Loss 2.4120 (2.2909) Prec@1 48.047 (47.651) Prec@5 71.484 (72.883)
Epoch: [55][3280/5005] Time 0.212 (0.210) Data 0.049 (0.048) Loss 2.1515 (2.2909) Prec@1 52.344 (47.649) Prec@5 75.391 (72.884)
Epoch: [55][3290/5005] Time 0.198 (0.210) Data 0.052 (0.048) Loss 2.3033 (2.2908) Prec@1 50.391 (47.650) Prec@5 72.656 (72.887)
Epoch: [55][3300/5005] Time 0.209 (0.210) Data 0.060 (0.048) Loss 2.2215 (2.2908) Prec@1 48.047 (47.650) Prec@5 73.828 (72.884)
Epoch: [55][3310/5005] Time 0.197 (0.210) Data 0.058 (0.048) Loss 2.2600 (2.2908) Prec@1 46.875 (47.651) Prec@5 71.875 (72.884)
Epoch: [55][3320/5005] Time 0.193 (0.210) Data 0.050 (0.048) Loss 2.4335 (2.2908) Prec@1 46.484 (47.653) Prec@5 66.797 (72.882)
Epoch: [55][3330/5005] Time 0.196 (0.210) Data 0.056 (0.048) Loss 2.3260 (2.2907) Prec@1 47.266 (47.652) Prec@5 69.922 (72.881)
Epoch: [55][3340/5005] Time 0.207 (0.210) Data 0.047 (0.048) Loss 2.3887 (2.2906) Prec@1 46.875 (47.654) Prec@5 72.656 (72.884)
Epoch: [55][3350/5005] Time 0.197 (0.210) Data 0.058 (0.048) Loss 2.4475 (2.2905) Prec@1 47.656 (47.654) Prec@5 68.359 (72.884)
Epoch: [55][3360/5005] Time 0.203 (0.210) Data 0.043 (0.048) Loss 2.2766 (2.2906) Prec@1 48.047 (47.653) Prec@5 73.828 (72.884)
Epoch: [55][3370/5005] Time 0.213 (0.210) Data 0.045 (0.048) Loss 2.3620 (2.2907) Prec@1 46.484 (47.651) Prec@5 71.094 (72.882)
Epoch: [55][3380/5005] Time 0.202 (0.210) Data 0.057 (0.048) Loss 2.1790 (2.2906) Prec@1 49.219 (47.652) Prec@5 74.609 (72.881)
Epoch: [55][3390/5005] Time 0.215 (0.210) Data 0.043 (0.048) Loss 2.2063 (2.2907) Prec@1 52.734 (47.652) Prec@5 74.219 (72.878)
Epoch: [55][3400/5005] Time 0.214 (0.210) Data 0.044 (0.048) Loss 2.2329 (2.2908) Prec@1 47.656 (47.652) Prec@5 75.000 (72.878)
Epoch: [55][3410/5005] Time 0.205 (0.210) Data 0.058 (0.048) Loss 2.1873 (2.2907) Prec@1 49.609 (47.656) Prec@5 76.953 (72.882)
Epoch: [55][3420/5005] Time 0.208 (0.210) Data 0.056 (0.048) Loss 2.2868 (2.2907) Prec@1 48.438 (47.653) Prec@5 73.047 (72.881)
Epoch: [55][3430/5005] Time 0.210 (0.210) Data 0.048 (0.048) Loss 2.1720 (2.2906) Prec@1 50.781 (47.654) Prec@5 71.875 (72.883)
Epoch: [55][3440/5005] Time 0.203 (0.210) Data 0.061 (0.048) Loss 2.3363 (2.2904) Prec@1 44.922 (47.659) Prec@5 75.781 (72.889)
Epoch: [55][3450/5005] Time 0.200 (0.210) Data 0.048 (0.048) Loss 2.0687 (2.2902) Prec@1 49.219 (47.662) Prec@5 76.562 (72.893)
Epoch: [55][3460/5005] Time 0.207 (0.210) Data 0.042 (0.048) Loss 2.3068 (2.2903) Prec@1 45.703 (47.661) Prec@5 74.219 (72.893)
Epoch: [55][3470/5005] Time 0.216 (0.210) Data 0.044 (0.048) Loss 2.1046 (2.2901) Prec@1 51.953 (47.663) Prec@5 72.656 (72.897)
Epoch: [55][3480/5005] Time 0.206 (0.210) Data 0.048 (0.048) Loss 2.2006 (2.2899) Prec@1 47.266 (47.669) Prec@5 75.391 (72.902)
Epoch: [55][3490/5005] Time 0.207 (0.210) Data 0.055 (0.048) Loss 2.3650 (2.2899) Prec@1 42.969 (47.668) Prec@5 71.875 (72.901)
Epoch: [55][3500/5005] Time 0.192 (0.210) Data 0.046 (0.048) Loss 2.1459 (2.2900) Prec@1 49.609 (47.667) Prec@5 75.000 (72.899)
Epoch: [55][3510/5005] Time 0.199 (0.210) Data 0.063 (0.048) Loss 2.2734 (2.2899) Prec@1 44.922 (47.667) Prec@5 70.312 (72.902)
Epoch: [55][3520/5005] Time 0.212 (0.210) Data 0.045 (0.048) Loss 2.5314 (2.2899) Prec@1 45.703 (47.668) Prec@5 70.703 (72.902)
Epoch: [55][3530/5005] Time 0.210 (0.210) Data 0.050 (0.048) Loss 2.3071 (2.2898) Prec@1 49.219 (47.671) Prec@5 73.438 (72.905)
Epoch: [55][3540/5005] Time 0.191 (0.210) Data 0.046 (0.048) Loss 2.2309 (2.2897) Prec@1 47.656 (47.668) Prec@5 74.219 (72.907)
Epoch: [55][3550/5005] Time 0.210 (0.210) Data 0.047 (0.048) Loss 2.4573 (2.2895) Prec@1 44.922 (47.672) Prec@5 66.016 (72.907)
Epoch: [55][3560/5005] Time 0.207 (0.210) Data 0.046 (0.048) Loss 2.3369 (2.2894) Prec@1 48.828 (47.674) Prec@5 71.875 (72.908)
Epoch: [55][3570/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.4329 (2.2893) Prec@1 41.406 (47.673) Prec@5 74.219 (72.909)
Epoch: [55][3580/5005] Time 0.216 (0.210) Data 0.044 (0.048) Loss 2.2525 (2.2894) Prec@1 48.438 (47.672) Prec@5 73.047 (72.906)
Epoch: [55][3590/5005] Time 0.207 (0.210) Data 0.040 (0.048) Loss 2.4129 (2.2892) Prec@1 42.188 (47.674) Prec@5 70.312 (72.908)
Epoch: [55][3600/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.3244 (2.2890) Prec@1 45.703 (47.674) Prec@5 73.438 (72.912)
Epoch: [55][3610/5005] Time 0.211 (0.210) Data 0.041 (0.048) Loss 2.0992 (2.2890) Prec@1 53.516 (47.677) Prec@5 77.344 (72.912)
Epoch: [55][3620/5005] Time 0.204 (0.210) Data 0.059 (0.048) Loss 2.4501 (2.2889) Prec@1 42.188 (47.679) Prec@5 69.922 (72.916)
Epoch: [55][3630/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.5707 (2.2887) Prec@1 40.234 (47.680) Prec@5 70.312 (72.916)
Epoch: [55][3640/5005] Time 0.213 (0.210) Data 0.048 (0.048) Loss 2.3875 (2.2887) Prec@1 44.922 (47.680) Prec@5 69.531 (72.915)
Epoch: [55][3650/5005] Time 0.195 (0.210) Data 0.060 (0.048) Loss 2.1109 (2.2887) Prec@1 50.391 (47.680) Prec@5 75.000 (72.918)
Epoch: [55][3660/5005] Time 0.215 (0.210) Data 0.042 (0.048) Loss 2.3709 (2.2884) Prec@1 47.266 (47.685) Prec@5 71.094 (72.922)
Epoch: [55][3670/5005] Time 0.211 (0.210) Data 0.042 (0.048) Loss 2.4768 (2.2884) Prec@1 45.703 (47.686) Prec@5 69.141 (72.922)
Epoch: [55][3680/5005] Time 0.203 (0.210) Data 0.051 (0.048) Loss 2.1367 (2.2885) Prec@1 50.781 (47.687) Prec@5 73.047 (72.921)
Epoch: [55][3690/5005] Time 0.214 (0.210) Data 0.043 (0.048) Loss 2.1933 (2.2885) Prec@1 48.438 (47.688) Prec@5 75.000 (72.922)
Epoch: [55][3700/5005] Time 0.210 (0.210) Data 0.045 (0.048) Loss 2.2837 (2.2885) Prec@1 45.312 (47.687) Prec@5 71.875 (72.922)
Epoch: [55][3710/5005] Time 0.214 (0.210) Data 0.041 (0.048) Loss 2.2703 (2.2885) Prec@1 51.953 (47.688) Prec@5 73.828 (72.922)
Epoch: [55][3720/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.3545 (2.2886) Prec@1 48.047 (47.687) Prec@5 70.703 (72.921)
Epoch: [55][3730/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.1260 (2.2883) Prec@1 52.734 (47.692) Prec@5 74.609 (72.924)
Epoch: [55][3740/5005] Time 0.204 (0.210) Data 0.040 (0.048) Loss 2.2002 (2.2880) Prec@1 49.219 (47.701) Prec@5 76.562 (72.932)
Epoch: [55][3750/5005] Time 0.201 (0.210) Data 0.047 (0.048) Loss 2.1520 (2.2880) Prec@1 48.047 (47.698) Prec@5 76.562 (72.932)
Epoch: [55][3760/5005] Time 0.215 (0.210) Data 0.047 (0.048) Loss 2.3608 (2.2881) Prec@1 46.875 (47.696) Prec@5 70.703 (72.932)
Epoch: [55][3770/5005] Time 0.204 (0.210) Data 0.045 (0.048) Loss 2.2519 (2.2879) Prec@1 48.438 (47.698) Prec@5 73.828 (72.935)
Epoch: [55][3780/5005] Time 0.207 (0.210) Data 0.043 (0.048) Loss 2.2136 (2.2878) Prec@1 49.609 (47.702) Prec@5 75.000 (72.935)
Epoch: [55][3790/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.4098 (2.2879) Prec@1 51.172 (47.701) Prec@5 71.094 (72.933)
Epoch: [55][3800/5005] Time 0.204 (0.210) Data 0.042 (0.048) Loss 2.2609 (2.2880) Prec@1 46.484 (47.698) Prec@5 73.047 (72.930)
Epoch: [55][3810/5005] Time 0.212 (0.210) Data 0.042 (0.048) Loss 2.2648 (2.2881) Prec@1 48.047 (47.694) Prec@5 73.828 (72.929)
Epoch: [55][3820/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.0859 (2.2879) Prec@1 52.734 (47.700) Prec@5 76.172 (72.933)
Epoch: [55][3830/5005] Time 0.209 (0.210) Data 0.041 (0.048) Loss 2.2436 (2.2876) Prec@1 47.656 (47.703) Prec@5 73.047 (72.938)
Epoch: [55][3840/5005] Time 0.209 (0.210) Data 0.042 (0.048) Loss 2.4772 (2.2877) Prec@1 42.188 (47.701) Prec@5 67.969 (72.937)
Epoch: [55][3850/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.3670 (2.2877) Prec@1 46.484 (47.700) Prec@5 71.094 (72.938)
Epoch: [55][3860/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.1376 (2.2877) Prec@1 51.562 (47.703) Prec@5 75.391 (72.937)
Epoch: [55][3870/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.2900 (2.2878) Prec@1 47.266 (47.702) Prec@5 73.828 (72.937)
Epoch: [55][3880/5005] Time 0.201 (0.210) Data 0.042 (0.048) Loss 2.1080 (2.2877) Prec@1 53.125 (47.705) Prec@5 75.000 (72.936)
Epoch: [55][3890/5005] Time 0.210 (0.210) Data 0.043 (0.047) Loss 2.5448 (2.2876) Prec@1 44.922 (47.706) Prec@5 68.359 (72.937)
Epoch: [55][3900/5005] Time 0.212 (0.210) Data 0.044 (0.047) Loss 2.4994 (2.2877) Prec@1 42.188 (47.705) Prec@5 70.703 (72.934)
Epoch: [55][3910/5005] Time 0.210 (0.210) Data 0.048 (0.047) Loss 2.3306 (2.2877) Prec@1 45.312 (47.705) Prec@5 74.219 (72.933)
Epoch: [55][3920/5005] Time 0.206 (0.210) Data 0.040 (0.047) Loss 2.1884 (2.2877) Prec@1 50.391 (47.710) Prec@5 74.609 (72.934)
Epoch: [55][3930/5005] Time 0.210 (0.210) Data 0.041 (0.047) Loss 2.2430 (2.2874) Prec@1 48.047 (47.715) Prec@5 71.094 (72.938)
Epoch: [55][3940/5005] Time 0.206 (0.210) Data 0.043 (0.047) Loss 2.2025 (2.2873) Prec@1 50.781 (47.717) Prec@5 72.656 (72.940)
Epoch: [55][3950/5005] Time 0.211 (0.210) Data 0.045 (0.047) Loss 2.1916 (2.2871) Prec@1 48.438 (47.721) Prec@5 76.562 (72.943)
Epoch: [55][3960/5005] Time 0.204 (0.210) Data 0.061 (0.047) Loss 2.0735 (2.2870) Prec@1 48.438 (47.721) Prec@5 76.562 (72.946)
Epoch: [55][3970/5005] Time 0.205 (0.210) Data 0.044 (0.047) Loss 2.2944 (2.2870) Prec@1 47.656 (47.718) Prec@5 71.484 (72.946)
Epoch: [55][3980/5005] Time 0.215 (0.210) Data 0.045 (0.047) Loss 2.0941 (2.2870) Prec@1 50.391 (47.721) Prec@5 75.000 (72.947)
Epoch: [55][3990/5005] Time 0.215 (0.210) Data 0.042 (0.047) Loss 2.4186 (2.2871) Prec@1 44.531 (47.720) Prec@5 71.094 (72.946)
Epoch: [55][4000/5005] Time 0.209 (0.210) Data 0.044 (0.047) Loss 2.2411 (2.2870) Prec@1 46.875 (47.719) Prec@5 71.484 (72.946)
Epoch: [55][4010/5005] Time 0.213 (0.210) Data 0.043 (0.047) Loss 2.3265 (2.2868) Prec@1 45.312 (47.722) Prec@5 73.438 (72.952)
Epoch: [55][4020/5005] Time 0.214 (0.210) Data 0.046 (0.047) Loss 2.4742 (2.2869) Prec@1 46.484 (47.718) Prec@5 68.750 (72.951)
Epoch: [55][4030/5005] Time 0.214 (0.210) Data 0.044 (0.047) Loss 2.5859 (2.2871) Prec@1 43.750 (47.716) Prec@5 67.969 (72.945)
Epoch: [55][4040/5005] Time 0.205 (0.210) Data 0.039 (0.047) Loss 2.2732 (2.2872) Prec@1 51.172 (47.716) Prec@5 72.656 (72.945)
Epoch: [55][4050/5005] Time 0.205 (0.210) Data 0.045 (0.047) Loss 2.6182 (2.2871) Prec@1 41.797 (47.720) Prec@5 66.797 (72.947)
Epoch: [55][4060/5005] Time 0.198 (0.210) Data 0.040 (0.047) Loss 2.3448 (2.2871) Prec@1 47.266 (47.718) Prec@5 71.094 (72.948)
Epoch: [55][4070/5005] Time 0.218 (0.210) Data 0.043 (0.047) Loss 2.3108 (2.2871) Prec@1 48.828 (47.716) Prec@5 73.828 (72.949)
Epoch: [55][4080/5005] Time 0.211 (0.210) Data 0.043 (0.047) Loss 2.1876 (2.2870) Prec@1 47.656 (47.716) Prec@5 73.438 (72.948)
Epoch: [55][4090/5005] Time 0.206 (0.210) Data 0.047 (0.047) Loss 2.3844 (2.2870) Prec@1 45.703 (47.719) Prec@5 70.312 (72.949)
Epoch: [55][4100/5005] Time 0.212 (0.210) Data 0.046 (0.047) Loss 2.1833 (2.2868) Prec@1 46.875 (47.722) Prec@5 75.391 (72.952)
Epoch: [55][4110/5005] Time 0.203 (0.210) Data 0.045 (0.047) Loss 2.4604 (2.2868) Prec@1 41.406 (47.721) Prec@5 69.531 (72.952)
Epoch: [55][4120/5005] Time 0.206 (0.210) Data 0.049 (0.047) Loss 2.3738 (2.2867) Prec@1 47.266 (47.721) Prec@5 71.484 (72.955)
Epoch: [55][4130/5005] Time 0.212 (0.210) Data 0.056 (0.047) Loss 2.4442 (2.2867) Prec@1 44.922 (47.725) Prec@5 70.312 (72.955)
Epoch: [55][4140/5005] Time 0.198 (0.210) Data 0.046 (0.047) Loss 2.4042 (2.2867) Prec@1 42.188 (47.724) Prec@5 68.750 (72.954)
Epoch: [55][4150/5005] Time 0.209 (0.210) Data 0.043 (0.047) Loss 2.4182 (2.2867) Prec@1 49.219 (47.724) Prec@5 71.094 (72.955)
Epoch: [55][4160/5005] Time 0.201 (0.210) Data 0.042 (0.047) Loss 2.2309 (2.2867) Prec@1 47.656 (47.725) Prec@5 75.781 (72.957)
Epoch: [55][4170/5005] Time 0.202 (0.210) Data 0.044 (0.047) Loss 2.2507 (2.2866) Prec@1 47.656 (47.728) Prec@5 75.781 (72.959)
Epoch: [55][4180/5005] Time 0.208 (0.210) Data 0.048 (0.047) Loss 2.2333 (2.2865) Prec@1 49.219 (47.731) Prec@5 74.609 (72.963)
Epoch: [55][4190/5005] Time 0.203 (0.210) Data 0.042 (0.047) Loss 2.2731 (2.2866) Prec@1 48.828 (47.730) Prec@5 70.312 (72.961)
Epoch: [55][4200/5005] Time 0.205 (0.210) Data 0.048 (0.047) Loss 2.0330 (2.2866) Prec@1 51.953 (47.729) Prec@5 75.000 (72.960)
Epoch: [55][4210/5005] Time 0.202 (0.210) Data 0.042 (0.047) Loss 2.1245 (2.2866) Prec@1 51.953 (47.730) Prec@5 75.781 (72.962)
Epoch: [55][4220/5005] Time 0.203 (0.210) Data 0.041 (0.047) Loss 2.3780 (2.2867) Prec@1 44.922 (47.727) Prec@5 70.703 (72.957)
Epoch: [55][4230/5005] Time 0.215 (0.210) Data 0.048 (0.047) Loss 2.3309 (2.2867) Prec@1 46.875 (47.727) Prec@5 73.047 (72.956)
Epoch: [55][4240/5005] Time 0.216 (0.210) Data 0.041 (0.047) Loss 2.2563 (2.2867) Prec@1 45.703 (47.725) Prec@5 77.344 (72.957)
Epoch: [55][4250/5005] Time 0.200 (0.210) Data 0.051 (0.047) Loss 2.1234 (2.2866) Prec@1 50.781 (47.727) Prec@5 76.562 (72.960)
Epoch: [55][4260/5005] Time 0.215 (0.210) Data 0.058 (0.047) Loss 2.2725 (2.2865) Prec@1 45.312 (47.728) Prec@5 73.438 (72.960)
Epoch: [55][4270/5005] Time 0.200 (0.210) Data 0.058 (0.047) Loss 2.4736 (2.2866) Prec@1 47.656 (47.731) Prec@5 72.266 (72.959)
Epoch: [55][4280/5005] Time 0.200 (0.210) Data 0.044 (0.047) Loss 2.2861 (2.2865) Prec@1 44.922 (47.731) Prec@5 75.391 (72.959)
Epoch: [55][4290/5005] Time 0.204 (0.210) Data 0.055 (0.047) Loss 2.4536 (2.2865) Prec@1 45.703 (47.730) Prec@5 68.359 (72.959)
Epoch: [55][4300/5005] Time 0.212 (0.210) Data 0.044 (0.047) Loss 2.1960 (2.2863) Prec@1 50.391 (47.734) Prec@5 73.828 (72.960)
Epoch: [55][4310/5005] Time 0.210 (0.210) Data 0.047 (0.047) Loss 2.3820 (2.2862) Prec@1 46.875 (47.737) Prec@5 69.141 (72.960)
Epoch: [55][4320/5005] Time 0.201 (0.210) Data 0.049 (0.047) Loss 2.1816 (2.2863) Prec@1 51.172 (47.740) Prec@5 74.219 (72.959)
Epoch: [55][4330/5005] Time 0.208 (0.210) Data 0.050 (0.047) Loss 2.2064 (2.2862) Prec@1 46.484 (47.739) Prec@5 75.781 (72.962)
Epoch: [55][4340/5005] Time 0.200 (0.210) Data 0.065 (0.047) Loss 2.2518 (2.2863) Prec@1 46.875 (47.735) Prec@5 74.609 (72.961)
Epoch: [55][4350/5005] Time 0.214 (0.210) Data 0.044 (0.047) Loss 2.4395 (2.2863) Prec@1 45.703 (47.735) Prec@5 72.266 (72.962)
Epoch: [55][4360/5005] Time 0.209 (0.210) Data 0.050 (0.047) Loss 2.0396 (2.2861) Prec@1 51.562 (47.736) Prec@5 76.953 (72.965)
Epoch: [55][4370/5005] Time 0.213 (0.210) Data 0.042 (0.047) Loss 2.2613 (2.2861) Prec@1 48.438 (47.737) Prec@5 73.828 (72.966)
Epoch: [55][4380/5005] Time 0.207 (0.210) Data 0.059 (0.047) Loss 2.3605 (2.2860) Prec@1 43.750 (47.739) Prec@5 71.875 (72.966)
Epoch: [55][4390/5005] Time 0.208 (0.210) Data 0.055 (0.047) Loss 2.2630 (2.2859) Prec@1 47.266 (47.744) Prec@5 73.828 (72.972)
Epoch: [55][4400/5005] Time 0.208 (0.210) Data 0.052 (0.047) Loss 2.1591 (2.2857) Prec@1 49.609 (47.746) Prec@5 73.828 (72.972)
Epoch: [55][4410/5005] Time 0.204 (0.210) Data 0.059 (0.047) Loss 2.2519 (2.2856) Prec@1 42.969 (47.746) Prec@5 74.609 (72.973)
Epoch: [55][4420/5005] Time 0.216 (0.210) Data 0.043 (0.047) Loss 1.9503 (2.2856) Prec@1 55.078 (47.746) Prec@5 77.734 (72.975)
Epoch: [55][4430/5005] Time 0.208 (0.210) Data 0.042 (0.047) Loss 2.2692 (2.2853) Prec@1 41.797 (47.751) Prec@5 74.609 (72.980)
Epoch: [55][4440/5005] Time 0.206 (0.210) Data 0.043 (0.047) Loss 2.3612 (2.2853) Prec@1 45.703 (47.751) Prec@5 71.094 (72.982)
Epoch: [55][4450/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.0782 (2.2852) Prec@1 50.391 (47.752) Prec@5 76.562 (72.985)
Epoch: [55][4460/5005] Time 0.210 (0.210) Data 0.042 (0.047) Loss 2.3532 (2.2851) Prec@1 49.219 (47.754) Prec@5 71.094 (72.986)
Epoch: [55][4470/5005] Time 0.214 (0.210) Data 0.048 (0.047) Loss 2.2417 (2.2852) Prec@1 47.266 (47.751) Prec@5 74.219 (72.984)
Epoch: [55][4480/5005] Time 0.200 (0.210) Data 0.058 (0.047) Loss 2.0674 (2.2853) Prec@1 53.125 (47.752) Prec@5 75.391 (72.982)
Epoch: [55][4490/5005] Time 0.227 (0.210) Data 0.046 (0.047) Loss 2.2451 (2.2854) Prec@1 48.047 (47.750) Prec@5 75.000 (72.980)
Epoch: [55][4500/5005] Time 0.200 (0.210) Data 0.041 (0.047) Loss 2.2049 (2.2853) Prec@1 48.438 (47.751) Prec@5 75.000 (72.980)
Epoch: [55][4510/5005] Time 0.202 (0.210) Data 0.040 (0.047) Loss 2.1086 (2.2852) Prec@1 50.391 (47.754) Prec@5 75.391 (72.982)
Epoch: [55][4520/5005] Time 0.214 (0.210) Data 0.041 (0.047) Loss 2.3200 (2.2850) Prec@1 47.656 (47.757) Prec@5 75.000 (72.986)
Epoch: [55][4530/5005] Time 0.209 (0.210) Data 0.042 (0.047) Loss 2.1867 (2.2850) Prec@1 48.047 (47.758) Prec@5 75.000 (72.987)
Epoch: [55][4540/5005] Time 0.213 (0.210) Data 0.042 (0.047) Loss 2.4161 (2.2851) Prec@1 45.703 (47.753) Prec@5 69.922 (72.984)
Epoch: [55][4550/5005] Time 0.209 (0.210) Data 0.041 (0.047) Loss 2.2809 (2.2851) Prec@1 46.875 (47.752) Prec@5 73.047 (72.985)
Epoch: [55][4560/5005] Time 0.212 (0.210) Data 0.041 (0.047) Loss 2.2985 (2.2850) Prec@1 49.609 (47.752) Prec@5 73.828 (72.985)
Epoch: [55][4570/5005] Time 0.214 (0.210) Data 0.045 (0.047) Loss 2.2915 (2.2849) Prec@1 49.609 (47.756) Prec@5 71.875 (72.987)
Epoch: [55][4580/5005] Time 0.214 (0.210) Data 0.045 (0.047) Loss 2.3916 (2.2848) Prec@1 41.406 (47.756) Prec@5 72.266 (72.989)
Epoch: [55][4590/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.1128 (2.2848) Prec@1 53.516 (47.754) Prec@5 74.609 (72.991)
Epoch: [55][4600/5005] Time 0.211 (0.210) Data 0.044 (0.047) Loss 2.1148 (2.2848) Prec@1 50.781 (47.756) Prec@5 75.000 (72.990)
Epoch: [55][4610/5005] Time 0.211 (0.210) Data 0.046 (0.047) Loss 2.1130 (2.2848) Prec@1 50.781 (47.759) Prec@5 75.781 (72.991)
Epoch: [55][4620/5005] Time 0.209 (0.210) Data 0.043 (0.047) Loss 2.1298 (2.2847) Prec@1 50.391 (47.761) Prec@5 74.609 (72.993)
Epoch: [55][4630/5005] Time 0.203 (0.210) Data 0.042 (0.047) Loss 2.2040 (2.2846) Prec@1 50.781 (47.765) Prec@5 73.438 (72.996)
Epoch: [55][4640/5005] Time 0.203 (0.210) Data 0.043 (0.047) Loss 2.3074 (2.2845) Prec@1 48.828 (47.766) Prec@5 73.438 (72.997)
Epoch: [55][4650/5005] Time 0.208 (0.210) Data 0.042 (0.047) Loss 2.3241 (2.2845) Prec@1 46.094 (47.769) Prec@5 71.875 (72.998)
Epoch: [55][4660/5005] Time 0.202 (0.210) Data 0.043 (0.047) Loss 2.5415 (2.2844) Prec@1 42.578 (47.769) Prec@5 69.531 (72.998)
Epoch: [55][4670/5005] Time 0.209 (0.210) Data 0.043 (0.047) Loss 2.1160 (2.2843) Prec@1 47.266 (47.771) Prec@5 74.219 (73.000)
Epoch: [55][4680/5005] Time 0.205 (0.210) Data 0.055 (0.047) Loss 2.1475 (2.2842) Prec@1 51.172 (47.773) Prec@5 76.172 (73.003)
Epoch: [55][4690/5005] Time 0.207 (0.210) Data 0.042 (0.047) Loss 2.3298 (2.2842) Prec@1 47.656 (47.773) Prec@5 70.703 (73.002)
Epoch: [55][4700/5005] Time 0.206 (0.210) Data 0.059 (0.047) Loss 2.2577 (2.2842) Prec@1 47.266 (47.774) Prec@5 76.172 (73.003)
Epoch: [55][4710/5005] Time 0.205 (0.210) Data 0.056 (0.047) Loss 2.1646 (2.2841) Prec@1 48.438 (47.774) Prec@5 74.219 (73.005)
Epoch: [55][4720/5005] Time 0.201 (0.210) Data 0.056 (0.047) Loss 2.0926 (2.2840) Prec@1 51.562 (47.774) Prec@5 76.953 (73.007)
Epoch: [55][4730/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.4145 (2.2842) Prec@1 43.750 (47.770) Prec@5 69.922 (73.004)
Epoch: [55][4740/5005] Time 0.209 (0.210) Data 0.043 (0.047) Loss 2.1910 (2.2841) Prec@1 48.047 (47.771) Prec@5 75.391 (73.005)
Epoch: [55][4750/5005] Time 0.211 (0.210) Data 0.043 (0.047) Loss 2.2168 (2.2840) Prec@1 52.344 (47.773) Prec@5 72.266 (73.006)
Epoch: [55][4760/5005] Time 0.216 (0.210) Data 0.043 (0.047) Loss 2.4907 (2.2839) Prec@1 44.922 (47.776) Prec@5 70.703 (73.008)
Epoch: [55][4770/5005] Time 0.213 (0.210) Data 0.044 (0.047) Loss 2.0923 (2.2839) Prec@1 52.344 (47.778) Prec@5 76.172 (73.009)
Epoch: [55][4780/5005] Time 0.215 (0.210) Data 0.043 (0.047) Loss 2.3623 (2.2838) Prec@1 47.656 (47.779) Prec@5 72.656 (73.012)
Epoch: [55][4790/5005] Time 0.202 (0.210) Data 0.045 (0.047) Loss 2.6713 (2.2838) Prec@1 42.188 (47.781) Prec@5 66.797 (73.012)
Epoch: [55][4800/5005] Time 0.211 (0.210) Data 0.051 (0.047) Loss 2.3260 (2.2837) Prec@1 43.359 (47.782) Prec@5 73.828 (73.014)
Epoch: [55][4810/5005] Time 0.215 (0.210) Data 0.044 (0.047) Loss 2.3630 (2.2836) Prec@1 46.875 (47.785) Prec@5 69.141 (73.017)
Epoch: [55][4820/5005] Time 0.205 (0.210) Data 0.041 (0.047) Loss 2.3667 (2.2835) Prec@1 46.094 (47.784) Prec@5 66.016 (73.016)
Epoch: [55][4830/5005] Time 0.204 (0.210) Data 0.065 (0.047) Loss 2.3271 (2.2833) Prec@1 45.312 (47.787) Prec@5 71.875 (73.018)
Epoch: [55][4840/5005] Time 0.207 (0.210) Data 0.056 (0.047) Loss 2.1564 (2.2834) Prec@1 51.562 (47.785) Prec@5 73.438 (73.016)
Epoch: [55][4850/5005] Time 0.214 (0.210) Data 0.046 (0.047) Loss 2.3234 (2.2835) Prec@1 44.531 (47.783) Prec@5 73.438 (73.015)
Epoch: [55][4860/5005] Time 0.206 (0.210) Data 0.046 (0.047) Loss 2.1479 (2.2834) Prec@1 46.875 (47.784) Prec@5 73.828 (73.015)
Epoch: [55][4870/5005] Time 0.200 (0.210) Data 0.048 (0.047) Loss 2.1790 (2.2834) Prec@1 53.906 (47.787) Prec@5 73.438 (73.014)
Epoch: [55][4880/5005] Time 0.212 (0.210) Data 0.048 (0.047) Loss 2.1840 (2.2833) Prec@1 47.656 (47.789) Prec@5 72.656 (73.016)
Epoch: [55][4890/5005] Time 0.200 (0.210) Data 0.045 (0.047) Loss 2.3456 (2.2832) Prec@1 45.703 (47.792) Prec@5 70.312 (73.016)
Epoch: [55][4900/5005] Time 0.207 (0.210) Data 0.046 (0.047) Loss 2.2097 (2.2831) Prec@1 48.828 (47.792) Prec@5 75.000 (73.017)
Epoch: [55][4910/5005] Time 0.214 (0.210) Data 0.040 (0.047) Loss 2.2470 (2.2829) Prec@1 48.438 (47.795) Prec@5 75.781 (73.019)
Epoch: [55][4920/5005] Time 0.209 (0.210) Data 0.049 (0.047) Loss 2.2301 (2.2828) Prec@1 49.219 (47.796) Prec@5 71.484 (73.019)
Epoch: [55][4930/5005] Time 0.210 (0.210) Data 0.046 (0.047) Loss 2.4733 (2.2827) Prec@1 45.312 (47.797) Prec@5 69.531 (73.021)
Epoch: [55][4940/5005] Time 0.206 (0.210) Data 0.045 (0.047) Loss 2.2177 (2.2828) Prec@1 50.391 (47.798) Prec@5 72.656 (73.019)
Epoch: [55][4950/5005] Time 0.210 (0.210) Data 0.045 (0.047) Loss 2.0841 (2.2829) Prec@1 48.438 (47.796) Prec@5 76.562 (73.019)
Epoch: [55][4960/5005] Time 0.213 (0.210) Data 0.044 (0.047) Loss 2.3568 (2.2829) Prec@1 49.219 (47.796) Prec@5 72.266 (73.019)
Epoch: [55][4970/5005] Time 0.202 (0.210) Data 0.056 (0.047) Loss 2.3755 (2.2828) Prec@1 43.750 (47.797) Prec@5 74.609 (73.022)
Epoch: [55][4980/5005] Time 0.217 (0.210) Data 0.043 (0.047) Loss 2.3701 (2.2826) Prec@1 47.656 (47.799) Prec@5 73.438 (73.026)
Epoch: [55][4990/5005] Time 0.205 (0.210) Data 0.026 (0.047) Loss 2.3031 (2.2826) Prec@1 46.875 (47.800) Prec@5 74.609 (73.026)
Epoch: [55][5000/5005] Time 0.205 (0.210) Data 0.021 (0.047) Loss 2.3371 (2.2826) Prec@1 47.266 (47.799) Prec@5 73.438 (73.025)
Test: [0/196] Time 1.669 (1.669) Loss 2.4017 (2.4017) Prec@1 49.219 (49.219) Prec@5 69.531 (69.531)
Test: [10/196] Time 0.350 (0.290) Loss 2.4347 (2.5582) Prec@1 47.266 (43.501) Prec@5 71.094 (68.821)
Test: [20/196] Time 0.042 (0.210) Loss 2.4101 (2.5527) Prec@1 48.438 (43.769) Prec@5 73.047 (68.973)
Test: [30/196] Time 0.356 (0.215) Loss 2.4360 (2.5581) Prec@1 44.922 (43.674) Prec@5 71.094 (68.889)
Test: [40/196] Time 0.044 (0.203) Loss 2.3055 (2.5535) Prec@1 50.391 (43.969) Prec@5 71.875 (68.893)
Test: [50/196] Time 0.044 (0.197) Loss 2.6419 (2.5566) Prec@1 44.922 (43.911) Prec@5 70.703 (69.079)
Test: [60/196] Time 0.042 (0.190) Loss 2.4683 (2.5427) Prec@1 46.484 (44.211) Prec@5 67.578 (69.288)
Test: [70/196] Time 0.045 (0.189) Loss 2.4139 (2.5345) Prec@1 50.000 (44.344) Prec@5 70.312 (69.262)
Test: [80/196] Time 0.043 (0.185) Loss 2.3833 (2.5408) Prec@1 53.125 (44.382) Prec@5 75.391 (69.358)
Test: [90/196] Time 0.044 (0.186) Loss 2.5968 (2.5423) Prec@1 45.312 (44.342) Prec@5 68.750 (69.385)
Test: [100/196] Time 0.045 (0.186) Loss 2.5367 (2.5395) Prec@1 49.219 (44.512) Prec@5 69.141 (69.400)
Test: [110/196] Time 0.173 (0.182) Loss 2.7321 (2.5415) Prec@1 40.625 (44.531) Prec@5 65.234 (69.359)
Test: [120/196] Time 0.042 (0.180) Loss 2.3396 (2.5367) Prec@1 44.531 (44.599) Prec@5 72.656 (69.428)
Test: [130/196] Time 0.043 (0.179) Loss 2.2076 (2.5325) Prec@1 49.219 (44.692) Prec@5 74.609 (69.475)
Test: [140/196] Time 0.385 (0.184) Loss 2.3158 (2.5344) Prec@1 48.047 (44.592) Prec@5 70.703 (69.390)
Test: [150/196] Time 0.052 (0.181) Loss 2.1970 (2.5342) Prec@1 50.000 (44.583) Prec@5 77.344 (69.430)
Test: [160/196] Time 0.044 (0.180) Loss 2.4881 (2.5326) Prec@1 48.047 (44.611) Prec@5 68.750 (69.398)
Test: [170/196] Time 0.042 (0.179) Loss 2.4610 (2.5344) Prec@1 44.141 (44.559) Prec@5 72.656 (69.374)
Test: [180/196] Time 0.312 (0.178) Loss 2.7597 (2.5391) Prec@1 37.109 (44.479) Prec@5 67.578 (69.264)
Test: [190/196] Time 0.043 (0.179) Loss 2.7695 (2.5426) Prec@1 43.359 (44.396) Prec@5 66.797 (69.194)
* Prec@1 44.374 Prec@5 69.218
Learning rate: 1e-05
Epoch: [56][0/5005] Time 1.012 (1.012) Data 0.864 (0.864) Loss 2.2058 (2.2058) Prec@1 49.219 (49.219) Prec@5 75.000 (75.000)
Epoch: [56][10/5005] Time 0.202 (0.275) Data 0.044 (0.124) Loss 2.3071 (2.3282) Prec@1 46.094 (46.307) Prec@5 71.484 (71.555)
Epoch: [56][20/5005] Time 0.201 (0.239) Data 0.045 (0.087) Loss 2.3246 (2.3277) Prec@1 48.047 (46.484) Prec@5 72.266 (72.005)
Epoch: [56][30/5005] Time 0.199 (0.227) Data 0.047 (0.074) Loss 2.1037 (2.2856) Prec@1 50.781 (47.518) Prec@5 75.781 (72.618)
Epoch: [56][40/5005] Time 0.212 (0.221) Data 0.042 (0.067) Loss 2.2939 (2.2893) Prec@1 47.266 (47.532) Prec@5 70.703 (72.609)
Epoch: [56][50/5005] Time 0.209 (0.218) Data 0.044 (0.063) Loss 2.1365 (2.2843) Prec@1 47.656 (47.511) Prec@5 76.562 (72.626)
Epoch: [56][60/5005] Time 0.204 (0.216) Data 0.048 (0.061) Loss 2.2129 (2.2845) Prec@1 46.484 (47.483) Prec@5 75.000 (72.535)
Epoch: [56][70/5005] Time 0.202 (0.214) Data 0.043 (0.059) Loss 2.3705 (2.2931) Prec@1 47.656 (47.337) Prec@5 72.656 (72.563)
Epoch: [56][80/5005] Time 0.191 (0.212) Data 0.050 (0.057) Loss 2.2274 (2.2854) Prec@1 49.219 (47.377) Prec@5 72.656 (72.806)
Epoch: [56][90/5005] Time 0.196 (0.211) Data 0.046 (0.057) Loss 2.2818 (2.2830) Prec@1 52.734 (47.506) Prec@5 74.609 (72.910)
Epoch: [56][100/5005] Time 0.206 (0.210) Data 0.044 (0.055) Loss 2.1054 (2.2823) Prec@1 49.609 (47.505) Prec@5 75.391 (72.954)
Epoch: [56][110/5005] Time 0.191 (0.209) Data 0.047 (0.055) Loss 2.3680 (2.2866) Prec@1 50.000 (47.593) Prec@5 67.969 (72.889)
Epoch: [56][120/5005] Time 0.204 (0.209) Data 0.060 (0.055) Loss 2.3581 (2.2915) Prec@1 45.703 (47.527) Prec@5 71.484 (72.802)
Epoch: [56][130/5005] Time 0.206 (0.208) Data 0.057 (0.055) Loss 2.4915 (2.2936) Prec@1 45.312 (47.519) Prec@5 69.531 (72.767)
Epoch: [56][140/5005] Time 0.200 (0.207) Data 0.047 (0.054) Loss 2.4330 (2.2948) Prec@1 44.141 (47.432) Prec@5 71.094 (72.775)
Epoch: [56][150/5005] Time 0.208 (0.207) Data 0.047 (0.054) Loss 2.3594 (2.2962) Prec@1 47.266 (47.454) Prec@5 70.703 (72.783)
Epoch: [56][160/5005] Time 0.213 (0.207) Data 0.046 (0.054) Loss 2.1546 (2.2976) Prec@1 46.484 (47.416) Prec@5 73.828 (72.739)
Epoch: [56][170/5005] Time 0.216 (0.207) Data 0.045 (0.053) Loss 2.3911 (2.2982) Prec@1 48.047 (47.410) Prec@5 73.047 (72.770)
Epoch: [56][180/5005] Time 0.220 (0.208) Data 0.060 (0.053) Loss 2.4795 (2.2991) Prec@1 47.266 (47.369) Prec@5 68.750 (72.751)
Epoch: [56][190/5005] Time 0.218 (0.208) Data 0.050 (0.053) Loss 2.4015 (2.3027) Prec@1 49.609 (47.319) Prec@5 71.094 (72.681)
Epoch: [56][200/5005] Time 0.201 (0.209) Data 0.052 (0.053) Loss 2.5082 (2.3041) Prec@1 41.406 (47.268) Prec@5 71.094 (72.623)
Epoch: [56][210/5005] Time 0.221 (0.209) Data 0.044 (0.053) Loss 2.1522 (2.3033) Prec@1 51.562 (47.325) Prec@5 75.781 (72.638)
Epoch: [56][220/5005] Time 0.221 (0.210) Data 0.044 (0.052) Loss 2.3306 (2.3024) Prec@1 48.438 (47.363) Prec@5 71.875 (72.681)
Epoch: [56][230/5005] Time 0.222 (0.210) Data 0.044 (0.052) Loss 2.3694 (2.3029) Prec@1 48.047 (47.394) Prec@5 71.484 (72.663)
Epoch: [56][240/5005] Time 0.218 (0.211) Data 0.044 (0.052) Loss 2.2707 (2.3029) Prec@1 47.266 (47.387) Prec@5 70.703 (72.677)
Epoch: [56][250/5005] Time 0.219 (0.211) Data 0.043 (0.051) Loss 2.3881 (2.3011) Prec@1 48.828 (47.387) Prec@5 73.828 (72.725)
Epoch: [56][260/5005] Time 0.219 (0.211) Data 0.042 (0.051) Loss 2.2086 (2.3009) Prec@1 45.703 (47.348) Prec@5 73.828 (72.749)
Epoch: [56][270/5005] Time 0.222 (0.212) Data 0.041 (0.051) Loss 2.3026 (2.3008) Prec@1 48.438 (47.352) Prec@5 71.875 (72.783)
Epoch: [56][280/5005] Time 0.217 (0.212) Data 0.047 (0.051) Loss 2.6879 (2.3035) Prec@1 42.188 (47.299) Prec@5 67.578 (72.740)
Epoch: [56][290/5005] Time 0.218 (0.212) Data 0.048 (0.050) Loss 2.0661 (2.3050) Prec@1 53.906 (47.267) Prec@5 76.562 (72.701)
Epoch: [56][300/5005] Time 0.215 (0.212) Data 0.043 (0.050) Loss 2.1874 (2.3045) Prec@1 51.172 (47.294) Prec@5 74.219 (72.684)
Epoch: [56][310/5005] Time 0.217 (0.213) Data 0.044 (0.050) Loss 2.1755 (2.3022) Prec@1 48.828 (47.338) Prec@5 77.344 (72.772)
Epoch: [56][320/5005] Time 0.217 (0.213) Data 0.044 (0.050) Loss 2.5500 (2.3044) Prec@1 38.672 (47.284) Prec@5 67.188 (72.757)
Epoch: [56][330/5005] Time 0.218 (0.213) Data 0.042 (0.050) Loss 1.9899 (2.3015) Prec@1 53.125 (47.308) Prec@5 80.859 (72.826)
Epoch: [56][340/5005] Time 0.217 (0.213) Data 0.049 (0.050) Loss 2.5110 (2.3065) Prec@1 44.922 (47.254) Prec@5 67.969 (72.743)
Epoch: [56][350/5005] Time 0.226 (0.213) Data 0.052 (0.049) Loss 2.5300 (2.3059) Prec@1 46.484 (47.273) Prec@5 71.484 (72.755)
Epoch: [56][360/5005] Time 0.217 (0.213) Data 0.048 (0.049) Loss 2.3316 (2.3052) Prec@1 47.656 (47.281) Prec@5 72.266 (72.754)
Epoch: [56][370/5005] Time 0.225 (0.213) Data 0.040 (0.049) Loss 2.3966 (2.3036) Prec@1 44.531 (47.285) Prec@5 71.484 (72.787)
Epoch: [56][380/5005] Time 0.220 (0.213) Data 0.045 (0.049) Loss 2.4694 (2.3039) Prec@1 44.922 (47.299) Prec@5 67.969 (72.765)
Epoch: [56][390/5005] Time 0.212 (0.213) Data 0.057 (0.049) Loss 2.1854 (2.3034) Prec@1 50.000 (47.318) Prec@5 72.656 (72.774)
Epoch: [56][400/5005] Time 0.217 (0.213) Data 0.042 (0.049) Loss 2.0396 (2.3013) Prec@1 51.172 (47.348) Prec@5 76.953 (72.807)
Epoch: [56][410/5005] Time 0.214 (0.213) Data 0.045 (0.049) Loss 2.2412 (2.3004) Prec@1 49.219 (47.381) Prec@5 75.781 (72.818)
Epoch: [56][420/5005] Time 0.211 (0.213) Data 0.050 (0.049) Loss 2.2574 (2.2993) Prec@1 50.000 (47.402) Prec@5 73.047 (72.846)
Epoch: [56][430/5005] Time 0.213 (0.213) Data 0.052 (0.049) Loss 2.0678 (2.2993) Prec@1 51.953 (47.424) Prec@5 78.516 (72.851)
Epoch: [56][440/5005] Time 0.212 (0.213) Data 0.059 (0.049) Loss 2.2115 (2.2988) Prec@1 51.172 (47.435) Prec@5 76.172 (72.861)
Epoch: [56][450/5005] Time 0.204 (0.213) Data 0.055 (0.049) Loss 2.1051 (2.3002) Prec@1 45.703 (47.398) Prec@5 76.562 (72.842)
Epoch: [56][460/5005] Time 0.210 (0.214) Data 0.044 (0.049) Loss 2.3618 (2.3003) Prec@1 42.969 (47.388) Prec@5 70.312 (72.849)
Epoch: [56][470/5005] Time 0.221 (0.214) Data 0.045 (0.049) Loss 2.3073 (2.3012) Prec@1 44.141 (47.366) Prec@5 71.094 (72.820)
Epoch: [56][480/5005] Time 0.224 (0.214) Data 0.044 (0.049) Loss 2.4387 (2.3015) Prec@1 44.922 (47.362) Prec@5 70.312 (72.812)
Epoch: [56][490/5005] Time 0.214 (0.214) Data 0.042 (0.049) Loss 2.0926 (2.3017) Prec@1 55.469 (47.344) Prec@5 77.344 (72.816)
Epoch: [56][500/5005] Time 0.217 (0.214) Data 0.039 (0.049) Loss 2.6364 (2.3036) Prec@1 43.750 (47.333) Prec@5 66.016 (72.788)
Epoch: [56][510/5005] Time 0.218 (0.214) Data 0.042 (0.049) Loss 2.6190 (2.3043) Prec@1 43.359 (47.339) Prec@5 68.359 (72.777)
Epoch: [56][520/5005] Time 0.217 (0.214) Data 0.056 (0.049) Loss 2.2493 (2.3035) Prec@1 46.484 (47.342) Prec@5 73.438 (72.804)
Epoch: [56][530/5005] Time 0.222 (0.214) Data 0.045 (0.049) Loss 2.2057 (2.3036) Prec@1 50.000 (47.347) Prec@5 69.922 (72.788)
Epoch: [56][540/5005] Time 0.210 (0.214) Data 0.050 (0.049) Loss 2.4649 (2.3048) Prec@1 45.703 (47.318) Prec@5 71.094 (72.768)
Epoch: [56][550/5005] Time 0.200 (0.214) Data 0.047 (0.049) Loss 2.2982 (2.3042) Prec@1 45.312 (47.332) Prec@5 73.047 (72.771)
Epoch: [56][560/5005] Time 0.220 (0.214) Data 0.043 (0.049) Loss 2.4587 (2.3048) Prec@1 45.312 (47.328) Prec@5 72.266 (72.762)
Epoch: [56][570/5005] Time 0.210 (0.214) Data 0.053 (0.049) Loss 2.4764 (2.3056) Prec@1 42.188 (47.309) Prec@5 71.875 (72.745)
Epoch: [56][580/5005] Time 0.208 (0.214) Data 0.057 (0.049) Loss 2.3674 (2.3051) Prec@1 46.484 (47.319) Prec@5 73.438 (72.754)
Epoch: [56][590/5005] Time 0.206 (0.214) Data 0.058 (0.049) Loss 2.4359 (2.3051) Prec@1 43.359 (47.320) Prec@5 70.312 (72.740)
Epoch: [56][600/5005] Time 0.216 (0.214) Data 0.047 (0.049) Loss 2.4036 (2.3063) Prec@1 43.750 (47.307) Prec@5 72.656 (72.738)
Epoch: [56][610/5005] Time 0.220 (0.214) Data 0.047 (0.049) Loss 2.2776 (2.3063) Prec@1 50.391 (47.324) Prec@5 73.438 (72.735)
Epoch: [56][620/5005] Time 0.218 (0.214) Data 0.046 (0.049) Loss 2.2808 (2.3060) Prec@1 48.828 (47.353) Prec@5 70.703 (72.746)
Epoch: [56][630/5005] Time 0.221 (0.214) Data 0.043 (0.049) Loss 2.4791 (2.3056) Prec@1 46.875 (47.379) Prec@5 69.141 (72.753)
Epoch: [56][640/5005] Time 0.220 (0.214) Data 0.044 (0.049) Loss 2.1767 (2.3052) Prec@1 50.000 (47.370) Prec@5 75.391 (72.754)
Epoch: [56][650/5005] Time 0.221 (0.214) Data 0.042 (0.049) Loss 2.3163 (2.3060) Prec@1 43.359 (47.343) Prec@5 73.828 (72.740)
Epoch: [56][660/5005] Time 0.219 (0.214) Data 0.058 (0.049) Loss 2.5162 (2.3052) Prec@1 41.797 (47.372) Prec@5 69.531 (72.761)
Epoch: [56][670/5005] Time 0.219 (0.214) Data 0.042 (0.049) Loss 2.6634 (2.3052) Prec@1 44.141 (47.370) Prec@5 66.406 (72.759)
Epoch: [56][680/5005] Time 0.211 (0.214) Data 0.055 (0.049) Loss 2.3555 (2.3054) Prec@1 46.094 (47.370) Prec@5 71.484 (72.760)
Epoch: [56][690/5005] Time 0.217 (0.214) Data 0.043 (0.049) Loss 2.2156 (2.3045) Prec@1 47.266 (47.398) Prec@5 74.219 (72.774)
Epoch: [56][700/5005] Time 0.216 (0.214) Data 0.044 (0.049) Loss 2.3962 (2.3043) Prec@1 46.484 (47.398) Prec@5 69.922 (72.770)
Epoch: [56][710/5005] Time 0.208 (0.214) Data 0.044 (0.049) Loss 2.1210 (2.3042) Prec@1 52.734 (47.385) Prec@5 75.391 (72.769)
Epoch: [56][720/5005] Time 0.215 (0.214) Data 0.042 (0.049) Loss 2.2435 (2.3034) Prec@1 46.484 (47.395) Prec@5 75.781 (72.781)
Epoch: [56][730/5005] Time 0.215 (0.214) Data 0.042 (0.049) Loss 2.4386 (2.3035) Prec@1 46.875 (47.408) Prec@5 71.094 (72.774)
Epoch: [56][740/5005] Time 0.218 (0.214) Data 0.046 (0.048) Loss 2.4298 (2.3032) Prec@1 44.922 (47.413) Prec@5 69.922 (72.762)
Epoch: [56][750/5005] Time 0.217 (0.214) Data 0.049 (0.048) Loss 2.1515 (2.3033) Prec@1 50.391 (47.413) Prec@5 76.562 (72.767)
Epoch: [56][760/5005] Time 0.212 (0.214) Data 0.042 (0.048) Loss 2.3404 (2.3036) Prec@1 42.188 (47.398) Prec@5 71.875 (72.770)
Epoch: [56][770/5005] Time 0.215 (0.214) Data 0.042 (0.048) Loss 2.3594 (2.3026) Prec@1 45.703 (47.406) Prec@5 67.969 (72.787)
Epoch: [56][780/5005] Time 0.215 (0.214) Data 0.046 (0.048) Loss 2.2630 (2.3023) Prec@1 48.047 (47.402) Prec@5 73.438 (72.782)
Epoch: [56][790/5005] Time 0.216 (0.214) Data 0.043 (0.048) Loss 2.3663 (2.3026) Prec@1 48.828 (47.396) Prec@5 70.703 (72.781)
Epoch: [56][800/5005] Time 0.214 (0.214) Data 0.042 (0.048) Loss 2.1640 (2.3019) Prec@1 49.609 (47.397) Prec@5 73.828 (72.786)
Epoch: [56][810/5005] Time 0.212 (0.214) Data 0.044 (0.048) Loss 2.3592 (2.3020) Prec@1 45.703 (47.395) Prec@5 73.047 (72.794)
Epoch: [56][820/5005] Time 0.218 (0.214) Data 0.042 (0.048) Loss 2.3854 (2.3025) Prec@1 46.875 (47.388) Prec@5 74.609 (72.796)
Epoch: [56][830/5005] Time 0.207 (0.214) Data 0.046 (0.048) Loss 2.3282 (2.3024) Prec@1 44.141 (47.378) Prec@5 74.219 (72.796)
Epoch: [56][840/5005] Time 0.216 (0.214) Data 0.047 (0.048) Loss 2.2561 (2.3026) Prec@1 51.562 (47.378) Prec@5 70.312 (72.792)
Epoch: [56][850/5005] Time 0.217 (0.214) Data 0.045 (0.048) Loss 2.4564 (2.3025) Prec@1 44.922 (47.371) Prec@5 72.266 (72.788)
Epoch: [56][860/5005] Time 0.208 (0.214) Data 0.043 (0.048) Loss 2.3449 (2.3026) Prec@1 47.656 (47.376) Prec@5 71.875 (72.771)
Epoch: [56][870/5005] Time 0.213 (0.214) Data 0.047 (0.048) Loss 2.2566 (2.3009) Prec@1 44.531 (47.416) Prec@5 71.875 (72.797)
Epoch: [56][880/5005] Time 0.215 (0.214) Data 0.057 (0.048) Loss 2.2569 (2.3011) Prec@1 46.094 (47.415) Prec@5 68.750 (72.789)
Epoch: [56][890/5005] Time 0.212 (0.214) Data 0.047 (0.048) Loss 2.5590 (2.3006) Prec@1 41.797 (47.412) Prec@5 65.625 (72.786)
Epoch: [56][900/5005] Time 0.215 (0.214) Data 0.050 (0.048) Loss 2.3344 (2.3003) Prec@1 42.969 (47.404) Prec@5 71.094 (72.788)
Epoch: [56][910/5005] Time 0.218 (0.214) Data 0.042 (0.048) Loss 2.2381 (2.3002) Prec@1 48.828 (47.403) Prec@5 74.609 (72.784)
Epoch: [56][920/5005] Time 0.220 (0.214) Data 0.042 (0.048) Loss 2.3253 (2.2998) Prec@1 48.047 (47.412) Prec@5 72.266 (72.798)
Epoch: [56][930/5005] Time 0.218 (0.214) Data 0.046 (0.048) Loss 2.3035 (2.2993) Prec@1 48.828 (47.418) Prec@5 71.484 (72.805)
Epoch: [56][940/5005] Time 0.219 (0.214) Data 0.040 (0.048) Loss 2.1543 (2.2999) Prec@1 48.047 (47.401) Prec@5 73.438 (72.794)
Epoch: [56][950/5005] Time 0.216 (0.214) Data 0.057 (0.048) Loss 2.4756 (2.3006) Prec@1 47.656 (47.402) Prec@5 71.484 (72.784)
Epoch: [56][960/5005] Time 0.214 (0.214) Data 0.058 (0.048) Loss 2.4852 (2.3009) Prec@1 42.969 (47.386) Prec@5 69.922 (72.777)
Epoch: [56][970/5005] Time 0.204 (0.214) Data 0.042 (0.048) Loss 2.1551 (2.3008) Prec@1 51.172 (47.390) Prec@5 74.219 (72.777)
Epoch: [56][980/5005] Time 0.206 (0.214) Data 0.046 (0.049) Loss 2.1130 (2.3002) Prec@1 50.781 (47.395) Prec@5 73.828 (72.786)
Epoch: [56][990/5005] Time 0.212 (0.214) Data 0.042 (0.049) Loss 2.2356 (2.3004) Prec@1 47.656 (47.402) Prec@5 76.172 (72.788)
Epoch: [56][1000/5005] Time 0.208 (0.214) Data 0.057 (0.049) Loss 2.2282 (2.3000) Prec@1 48.047 (47.404) Prec@5 77.734 (72.798)
Epoch: [56][1010/5005] Time 0.211 (0.214) Data 0.041 (0.049) Loss 2.2872 (2.3000) Prec@1 48.438 (47.405) Prec@5 72.266 (72.798)
Epoch: [56][1020/5005] Time 0.220 (0.214) Data 0.042 (0.049) Loss 2.1714 (2.3005) Prec@1 52.344 (47.410) Prec@5 76.172 (72.786)
Epoch: [56][1030/5005] Time 0.208 (0.214) Data 0.046 (0.049) Loss 2.1821 (2.2998) Prec@1 49.609 (47.433) Prec@5 73.047 (72.790)
Epoch: [56][1040/5005] Time 0.194 (0.215) Data 0.043 (0.048) Loss 2.4627 (2.3002) Prec@1 47.656 (47.428) Prec@5 70.312 (72.781)
Epoch: [56][1050/5005] Time 0.207 (0.215) Data 0.045 (0.048) Loss 2.4357 (2.3009) Prec@1 46.875 (47.413) Prec@5 69.531 (72.768)
Epoch: [56][1060/5005] Time 0.202 (0.215) Data 0.042 (0.048) Loss 2.4111 (2.3013) Prec@1 46.484 (47.412) Prec@5 71.484 (72.766)
Epoch: [56][1070/5005] Time 0.197 (0.215) Data 0.048 (0.048) Loss 2.3853 (2.3011) Prec@1 44.531 (47.416) Prec@5 72.656 (72.772)
Epoch: [56][1080/5005] Time 0.210 (0.215) Data 0.045 (0.048) Loss 2.3242 (2.3011) Prec@1 44.922 (47.416) Prec@5 73.438 (72.768)
Epoch: [56][1090/5005] Time 0.206 (0.214) Data 0.051 (0.048) Loss 2.2441 (2.3010) Prec@1 48.047 (47.425) Prec@5 71.094 (72.772)
Epoch: [56][1100/5005] Time 0.217 (0.214) Data 0.047 (0.048) Loss 2.1597 (2.3006) Prec@1 49.219 (47.434) Prec@5 75.391 (72.779)
Epoch: [56][1110/5005] Time 0.219 (0.214) Data 0.044 (0.048) Loss 2.3490 (2.3006) Prec@1 44.531 (47.432) Prec@5 71.484 (72.775)
Epoch: [56][1120/5005] Time 0.214 (0.214) Data 0.041 (0.048) Loss 2.2198 (2.3000) Prec@1 50.000 (47.430) Prec@5 71.875 (72.778)
Epoch: [56][1130/5005] Time 0.215 (0.214) Data 0.044 (0.048) Loss 2.3775 (2.3003) Prec@1 50.781 (47.428) Prec@5 72.266 (72.772)
Epoch: [56][1140/5005] Time 0.219 (0.214) Data 0.048 (0.048) Loss 2.3791 (2.3001) Prec@1 47.656 (47.430) Prec@5 71.484 (72.783)
Epoch: [56][1150/5005] Time 0.215 (0.214) Data 0.047 (0.048) Loss 2.3200 (2.2996) Prec@1 42.188 (47.430) Prec@5 74.219 (72.796)
Epoch: [56][1160/5005] Time 0.205 (0.214) Data 0.045 (0.048) Loss 2.2671 (2.2993) Prec@1 46.875 (47.440) Prec@5 74.219 (72.795)
Epoch: [56][1170/5005] Time 0.201 (0.214) Data 0.043 (0.048) Loss 2.1412 (2.2990) Prec@1 48.828 (47.444) Prec@5 72.266 (72.794)
Epoch: [56][1180/5005] Time 0.212 (0.214) Data 0.043 (0.048) Loss 2.2792 (2.2991) Prec@1 47.656 (47.432) Prec@5 71.875 (72.788)
Epoch: [56][1190/5005] Time 0.216 (0.214) Data 0.042 (0.048) Loss 2.3116 (2.2986) Prec@1 46.484 (47.442) Prec@5 68.359 (72.793)
Epoch: [56][1200/5005] Time 0.212 (0.214) Data 0.042 (0.048) Loss 2.3685 (2.2986) Prec@1 42.969 (47.434) Prec@5 69.922 (72.790)
Epoch: [56][1210/5005] Time 0.208 (0.214) Data 0.043 (0.048) Loss 2.2794 (2.2993) Prec@1 47.656 (47.426) Prec@5 74.219 (72.791)
Epoch: [56][1220/5005] Time 0.216 (0.214) Data 0.042 (0.048) Loss 2.2572 (2.2992) Prec@1 46.875 (47.431) Prec@5 73.047 (72.798)
Epoch: [56][1230/5005] Time 0.215 (0.214) Data 0.049 (0.048) Loss 2.4419 (2.2994) Prec@1 44.922 (47.419) Prec@5 70.703 (72.799)
Epoch: [56][1240/5005] Time 0.214 (0.214) Data 0.044 (0.048) Loss 2.3547 (2.2997) Prec@1 47.656 (47.414) Prec@5 70.703 (72.792)
Epoch: [56][1250/5005] Time 0.212 (0.214) Data 0.042 (0.048) Loss 2.5073 (2.3001) Prec@1 46.094 (47.415) Prec@5 66.016 (72.783)
Epoch: [56][1260/5005] Time 0.217 (0.214) Data 0.046 (0.048) Loss 2.0617 (2.2994) Prec@1 51.562 (47.427) Prec@5 75.781 (72.793)
Epoch: [56][1270/5005] Time 0.212 (0.214) Data 0.050 (0.048) Loss 2.3635 (2.2999) Prec@1 44.141 (47.424) Prec@5 69.141 (72.777)
Epoch: [56][1280/5005] Time 0.209 (0.214) Data 0.057 (0.048) Loss 2.3902 (2.3001) Prec@1 46.484 (47.425) Prec@5 73.047 (72.779)
Epoch: [56][1290/5005] Time 0.207 (0.214) Data 0.057 (0.048) Loss 2.0649 (2.2995) Prec@1 54.297 (47.437) Prec@5 75.781 (72.783)
Epoch: [56][1300/5005] Time 0.202 (0.214) Data 0.042 (0.048) Loss 2.1494 (2.2994) Prec@1 51.953 (47.446) Prec@5 74.609 (72.792)
Epoch: [56][1310/5005] Time 0.209 (0.214) Data 0.043 (0.048) Loss 2.2045 (2.2991) Prec@1 46.094 (47.446) Prec@5 75.391 (72.798)
Epoch: [56][1320/5005] Time 0.207 (0.214) Data 0.052 (0.048) Loss 2.3478 (2.2989) Prec@1 51.172 (47.456) Prec@5 72.266 (72.801)
Epoch: [56][1330/5005] Time 0.215 (0.214) Data 0.049 (0.048) Loss 2.4220 (2.2994) Prec@1 41.797 (47.449) Prec@5 69.922 (72.789)
Epoch: [56][1340/5005] Time 0.204 (0.214) Data 0.044 (0.048) Loss 2.3112 (2.2993) Prec@1 46.094 (47.449) Prec@5 74.609 (72.791)
Epoch: [56][1350/5005] Time 0.207 (0.214) Data 0.051 (0.048) Loss 2.7302 (2.2995) Prec@1 43.750 (47.446) Prec@5 66.406 (72.792)
Epoch: [56][1360/5005] Time 0.216 (0.214) Data 0.043 (0.048) Loss 2.1522 (2.2991) Prec@1 50.000 (47.449) Prec@5 74.609 (72.794)
Epoch: [56][1370/5005] Time 0.211 (0.214) Data 0.045 (0.048) Loss 2.2998 (2.2988) Prec@1 47.656 (47.454) Prec@5 72.656 (72.804)
Epoch: [56][1380/5005] Time 0.218 (0.214) Data 0.045 (0.048) Loss 2.3998 (2.2987) Prec@1 47.656 (47.455) Prec@5 74.219 (72.809)
Epoch: [56][1390/5005] Time 0.222 (0.214) Data 0.044 (0.048) Loss 2.2005 (2.2987) Prec@1 48.438 (47.459) Prec@5 76.562 (72.808)
Epoch: [56][1400/5005] Time 0.209 (0.214) Data 0.044 (0.048) Loss 2.2440 (2.2979) Prec@1 47.656 (47.474) Prec@5 72.266 (72.822)
Epoch: [56][1410/5005] Time 0.212 (0.214) Data 0.046 (0.048) Loss 2.3284 (2.2977) Prec@1 48.047 (47.482) Prec@5 70.312 (72.823)
Epoch: [56][1420/5005] Time 0.213 (0.214) Data 0.044 (0.048) Loss 2.4666 (2.2977) Prec@1 44.531 (47.476) Prec@5 71.484 (72.828)
Epoch: [56][1430/5005] Time 0.226 (0.214) Data 0.041 (0.048) Loss 1.9699 (2.2974) Prec@1 53.906 (47.483) Prec@5 77.734 (72.838)
Epoch: [56][1440/5005] Time 0.216 (0.214) Data 0.041 (0.048) Loss 1.9865 (2.2972) Prec@1 53.516 (47.483) Prec@5 80.859 (72.841)
Epoch: [56][1450/5005] Time 0.205 (0.214) Data 0.059 (0.048) Loss 2.2040 (2.2970) Prec@1 50.391 (47.483) Prec@5 73.438 (72.839)
Epoch: [56][1460/5005] Time 0.204 (0.214) Data 0.057 (0.048) Loss 2.3628 (2.2969) Prec@1 41.016 (47.484) Prec@5 69.922 (72.836)
Epoch: [56][1470/5005] Time 0.217 (0.214) Data 0.050 (0.048) Loss 2.4089 (2.2971) Prec@1 44.922 (47.483) Prec@5 71.094 (72.833)
Epoch: [56][1480/5005] Time 0.226 (0.214) Data 0.041 (0.048) Loss 2.0600 (2.2973) Prec@1 53.906 (47.482) Prec@5 77.734 (72.831)
Epoch: [56][1490/5005] Time 0.209 (0.214) Data 0.044 (0.048) Loss 2.4208 (2.2970) Prec@1 47.266 (47.487) Prec@5 70.703 (72.838)
Epoch: [56][1500/5005] Time 0.218 (0.214) Data 0.043 (0.048) Loss 2.3077 (2.2968) Prec@1 48.828 (47.487) Prec@5 69.531 (72.841)
Epoch: [56][1510/5005] Time 0.218 (0.214) Data 0.044 (0.048) Loss 2.1637 (2.2965) Prec@1 50.391 (47.493) Prec@5 73.047 (72.847)
Epoch: [56][1520/5005] Time 0.208 (0.214) Data 0.047 (0.048) Loss 2.4129 (2.2963) Prec@1 44.922 (47.492) Prec@5 70.703 (72.850)
Epoch: [56][1530/5005] Time 0.218 (0.213) Data 0.048 (0.048) Loss 2.2875 (2.2964) Prec@1 48.438 (47.488) Prec@5 72.656 (72.843)
Epoch: [56][1540/5005] Time 0.205 (0.213) Data 0.053 (0.048) Loss 2.4446 (2.2968) Prec@1 44.531 (47.477) Prec@5 69.141 (72.831)
Epoch: [56][1550/5005] Time 0.197 (0.213) Data 0.044 (0.048) Loss 2.1876 (2.2968) Prec@1 49.609 (47.476) Prec@5 74.609 (72.825)
Epoch: [56][1560/5005] Time 0.196 (0.213) Data 0.052 (0.048) Loss 2.1938 (2.2968) Prec@1 50.781 (47.481) Prec@5 72.266 (72.827)
Epoch: [56][1570/5005] Time 0.210 (0.213) Data 0.045 (0.048) Loss 2.1712 (2.2965) Prec@1 50.391 (47.489) Prec@5 76.172 (72.836)
Epoch: [56][1580/5005] Time 0.214 (0.213) Data 0.054 (0.048) Loss 2.0876 (2.2966) Prec@1 49.609 (47.485) Prec@5 78.516 (72.830)
Epoch: [56][1590/5005] Time 0.210 (0.213) Data 0.049 (0.048) Loss 2.2246 (2.2967) Prec@1 44.531 (47.481) Prec@5 71.875 (72.828)
Epoch: [56][1600/5005] Time 0.214 (0.213) Data 0.044 (0.048) Loss 2.4046 (2.2969) Prec@1 45.312 (47.482) Prec@5 69.531 (72.825)
Epoch: [56][1610/5005] Time 0.201 (0.213) Data 0.043 (0.048) Loss 2.4852 (2.2970) Prec@1 41.016 (47.482) Prec@5 70.312 (72.823)
Epoch: [56][1620/5005] Time 0.202 (0.213) Data 0.049 (0.048) Loss 2.5545 (2.2967) Prec@1 42.578 (47.486) Prec@5 70.312 (72.829)
Epoch: [56][1630/5005] Time 0.216 (0.213) Data 0.046 (0.048) Loss 2.1053 (2.2967) Prec@1 52.734 (47.486) Prec@5 76.172 (72.828)
Epoch: [56][1640/5005] Time 0.206 (0.213) Data 0.046 (0.048) Loss 2.3874 (2.2971) Prec@1 47.266 (47.486) Prec@5 71.875 (72.823)
Epoch: [56][1650/5005] Time 0.203 (0.213) Data 0.044 (0.048) Loss 2.3422 (2.2970) Prec@1 46.484 (47.485) Prec@5 68.750 (72.824)
Epoch: [56][1660/5005] Time 0.213 (0.213) Data 0.046 (0.048) Loss 2.2466 (2.2967) Prec@1 50.000 (47.500) Prec@5 73.438 (72.826)
Epoch: [56][1670/5005] Time 0.212 (0.213) Data 0.050 (0.048) Loss 2.1459 (2.2968) Prec@1 47.266 (47.503) Prec@5 74.609 (72.826)
Epoch: [56][1680/5005] Time 0.195 (0.213) Data 0.057 (0.048) Loss 2.4156 (2.2971) Prec@1 48.828 (47.506) Prec@5 73.438 (72.822)
Epoch: [56][1690/5005] Time 0.206 (0.213) Data 0.046 (0.048) Loss 2.2349 (2.2969) Prec@1 46.484 (47.510) Prec@5 72.266 (72.829)
Epoch: [56][1700/5005] Time 0.208 (0.213) Data 0.048 (0.048) Loss 2.1188 (2.2963) Prec@1 51.953 (47.524) Prec@5 75.000 (72.840)
Epoch: [56][1710/5005] Time 0.211 (0.213) Data 0.051 (0.048) Loss 2.1507 (2.2958) Prec@1 48.047 (47.528) Prec@5 73.438 (72.850)
Epoch: [56][1720/5005] Time 0.198 (0.213) Data 0.051 (0.048) Loss 2.3177 (2.2957) Prec@1 47.266 (47.530) Prec@5 67.969 (72.849)
Epoch: [56][1730/5005] Time 0.217 (0.213) Data 0.042 (0.048) Loss 2.1045 (2.2956) Prec@1 46.875 (47.534) Prec@5 78.125 (72.855)
Epoch: [56][1740/5005] Time 0.197 (0.213) Data 0.045 (0.048) Loss 2.4287 (2.2952) Prec@1 43.750 (47.539) Prec@5 74.219 (72.868)
Epoch: [56][1750/5005] Time 0.203 (0.213) Data 0.062 (0.048) Loss 2.3546 (2.2951) Prec@1 44.141 (47.536) Prec@5 73.047 (72.872)
Epoch: [56][1760/5005] Time 0.213 (0.213) Data 0.042 (0.048) Loss 2.0662 (2.2949) Prec@1 52.734 (47.543) Prec@5 78.516 (72.877)
Epoch: [56][1770/5005] Time 0.213 (0.213) Data 0.058 (0.048) Loss 2.3694 (2.2949) Prec@1 41.797 (47.539) Prec@5 74.609 (72.883)
Epoch: [56][1780/5005] Time 0.200 (0.213) Data 0.042 (0.048) Loss 2.0820 (2.2946) Prec@1 51.562 (47.547) Prec@5 75.391 (72.884)
Epoch: [56][1790/5005] Time 0.202 (0.213) Data 0.061 (0.048) Loss 2.1619 (2.2943) Prec@1 49.219 (47.549) Prec@5 74.609 (72.885)
Epoch: [56][1800/5005] Time 0.217 (0.213) Data 0.046 (0.048) Loss 2.1581 (2.2939) Prec@1 51.562 (47.555) Prec@5 77.344 (72.892)
Epoch: [56][1810/5005] Time 0.211 (0.213) Data 0.043 (0.048) Loss 2.1748 (2.2938) Prec@1 51.172 (47.554) Prec@5 72.266 (72.893)
Epoch: [56][1820/5005] Time 0.212 (0.213) Data 0.041 (0.048) Loss 2.2877 (2.2938) Prec@1 47.266 (47.555) Prec@5 72.656 (72.894)
Epoch: [56][1830/5005] Time 0.211 (0.213) Data 0.043 (0.048) Loss 2.1270 (2.2934) Prec@1 51.562 (47.561) Prec@5 76.953 (72.899)
Epoch: [56][1840/5005] Time 0.206 (0.213) Data 0.056 (0.048) Loss 2.4571 (2.2932) Prec@1 43.750 (47.563) Prec@5 70.312 (72.903)
Epoch: [56][1850/5005] Time 0.214 (0.213) Data 0.043 (0.048) Loss 2.2099 (2.2929) Prec@1 50.000 (47.567) Prec@5 71.875 (72.904)
Epoch: [56][1860/5005] Time 0.203 (0.213) Data 0.043 (0.048) Loss 2.3526 (2.2930) Prec@1 48.438 (47.565) Prec@5 72.656 (72.903)
Epoch: [56][1870/5005] Time 0.198 (0.213) Data 0.043 (0.048) Loss 2.5077 (2.2933) Prec@1 39.062 (47.553) Prec@5 70.312 (72.896)
Epoch: [56][1880/5005] Time 0.201 (0.213) Data 0.043 (0.048) Loss 2.4089 (2.2935) Prec@1 46.484 (47.556) Prec@5 71.875 (72.895)
Epoch: [56][1890/5005] Time 0.206 (0.213) Data 0.047 (0.048) Loss 2.3669 (2.2934) Prec@1 47.266 (47.553) Prec@5 71.484 (72.895)
Epoch: [56][1900/5005] Time 0.203 (0.213) Data 0.048 (0.048) Loss 2.3440 (2.2940) Prec@1 44.141 (47.547) Prec@5 73.828 (72.888)
Epoch: [56][1910/5005] Time 0.199 (0.213) Data 0.062 (0.048) Loss 2.1286 (2.2939) Prec@1 47.656 (47.544) Prec@5 75.000 (72.885)
Epoch: [56][1920/5005] Time 0.216 (0.213) Data 0.042 (0.048) Loss 2.2355 (2.2938) Prec@1 49.609 (47.540) Prec@5 70.703 (72.885)
Epoch: [56][1930/5005] Time 0.203 (0.213) Data 0.048 (0.048) Loss 2.2505 (2.2936) Prec@1 48.828 (47.548) Prec@5 71.875 (72.889)
Epoch: [56][1940/5005] Time 0.205 (0.213) Data 0.050 (0.048) Loss 2.1909 (2.2933) Prec@1 50.781 (47.551) Prec@5 74.609 (72.898)
Epoch: [56][1950/5005] Time 0.200 (0.213) Data 0.058 (0.048) Loss 2.3513 (2.2931) Prec@1 44.922 (47.553) Prec@5 72.656 (72.897)
Epoch: [56][1960/5005] Time 0.217 (0.213) Data 0.043 (0.048) Loss 2.3706 (2.2931) Prec@1 45.703 (47.553) Prec@5 68.750 (72.895)
Epoch: [56][1970/5005] Time 0.203 (0.212) Data 0.039 (0.048) Loss 2.2396 (2.2932) Prec@1 46.875 (47.542) Prec@5 73.438 (72.893)
Epoch: [56][1980/5005] Time 0.211 (0.212) Data 0.054 (0.048) Loss 2.0402 (2.2932) Prec@1 55.469 (47.545) Prec@5 77.344 (72.894)
Epoch: [56][1990/5005] Time 0.211 (0.212) Data 0.042 (0.048) Loss 2.2451 (2.2930) Prec@1 47.266 (47.552) Prec@5 74.609 (72.897)
Epoch: [56][2000/5005] Time 0.209 (0.212) Data 0.045 (0.048) Loss 2.2425 (2.2931) Prec@1 46.484 (47.550) Prec@5 75.781 (72.894)
Epoch: [56][2010/5005] Time 0.221 (0.212) Data 0.045 (0.048) Loss 2.3298 (2.2932) Prec@1 46.875 (47.547) Prec@5 69.922 (72.891)
Epoch: [56][2020/5005] Time 0.197 (0.212) Data 0.064 (0.048) Loss 2.3147 (2.2933) Prec@1 45.312 (47.542) Prec@5 73.047 (72.889)
Epoch: [56][2030/5005] Time 0.203 (0.212) Data 0.057 (0.048) Loss 2.2695 (2.2935) Prec@1 50.781 (47.542) Prec@5 73.438 (72.884)
Epoch: [56][2040/5005] Time 0.218 (0.212) Data 0.042 (0.048) Loss 2.1736 (2.2933) Prec@1 48.828 (47.547) Prec@5 76.562 (72.887)
Epoch: [56][2050/5005] Time 0.216 (0.212) Data 0.048 (0.048) Loss 2.3500 (2.2930) Prec@1 48.438 (47.551) Prec@5 70.703 (72.894)
Epoch: [56][2060/5005] Time 0.213 (0.212) Data 0.048 (0.048) Loss 2.2106 (2.2932) Prec@1 46.094 (47.543) Prec@5 74.609 (72.889)
Epoch: [56][2070/5005] Time 0.213 (0.212) Data 0.043 (0.048) Loss 2.4873 (2.2934) Prec@1 44.922 (47.538) Prec@5 71.875 (72.885)
Epoch: [56][2080/5005] Time 0.212 (0.212) Data 0.050 (0.048) Loss 2.3344 (2.2933) Prec@1 43.359 (47.536) Prec@5 73.828 (72.887)
Epoch: [56][2090/5005] Time 0.196 (0.212) Data 0.046 (0.048) Loss 2.1446 (2.2928) Prec@1 53.125 (47.540) Prec@5 75.391 (72.895)
Epoch: [56][2100/5005] Time 0.205 (0.212) Data 0.045 (0.048) Loss 2.3023 (2.2927) Prec@1 47.266 (47.543) Prec@5 75.000 (72.899)
Epoch: [56][2110/5005] Time 0.213 (0.212) Data 0.043 (0.048) Loss 2.1234 (2.2925) Prec@1 48.438 (47.542) Prec@5 73.828 (72.900)
Epoch: [56][2120/5005] Time 0.211 (0.212) Data 0.050 (0.048) Loss 2.4034 (2.2925) Prec@1 47.656 (47.542) Prec@5 69.141 (72.901)
Epoch: [56][2130/5005] Time 0.200 (0.212) Data 0.051 (0.048) Loss 2.2242 (2.2921) Prec@1 47.656 (47.545) Prec@5 74.219 (72.910)
Epoch: [56][2140/5005] Time 0.211 (0.212) Data 0.046 (0.048) Loss 2.1176 (2.2921) Prec@1 50.000 (47.547) Prec@5 76.562 (72.909)
Epoch: [56][2150/5005] Time 0.194 (0.212) Data 0.061 (0.048) Loss 2.1487 (2.2921) Prec@1 47.656 (47.542) Prec@5 77.734 (72.911)
Epoch: [56][2160/5005] Time 0.213 (0.212) Data 0.047 (0.048) Loss 2.2297 (2.2920) Prec@1 49.609 (47.543) Prec@5 74.609 (72.914)
Epoch: [56][2170/5005] Time 0.210 (0.212) Data 0.057 (0.048) Loss 2.1565 (2.2917) Prec@1 49.609 (47.547) Prec@5 76.562 (72.916)
Epoch: [56][2180/5005] Time 0.210 (0.212) Data 0.043 (0.048) Loss 2.3405 (2.2918) Prec@1 49.219 (47.547) Prec@5 69.141 (72.914)
Epoch: [56][2190/5005] Time 0.218 (0.212) Data 0.043 (0.048) Loss 2.4836 (2.2919) Prec@1 48.828 (47.548) Prec@5 67.578 (72.915)
Epoch: [56][2200/5005] Time 0.218 (0.212) Data 0.042 (0.048) Loss 2.3129 (2.2920) Prec@1 45.312 (47.545) Prec@5 69.922 (72.915)
Epoch: [56][2210/5005] Time 0.213 (0.212) Data 0.040 (0.048) Loss 2.2326 (2.2924) Prec@1 47.266 (47.541) Prec@5 72.266 (72.907)
Epoch: [56][2220/5005] Time 0.212 (0.212) Data 0.046 (0.048) Loss 2.4661 (2.2923) Prec@1 48.047 (47.545) Prec@5 69.531 (72.910)
Epoch: [56][2230/5005] Time 0.200 (0.212) Data 0.050 (0.048) Loss 2.2718 (2.2924) Prec@1 51.953 (47.546) Prec@5 74.219 (72.907)
Epoch: [56][2240/5005] Time 0.217 (0.212) Data 0.049 (0.048) Loss 2.2813 (2.2926) Prec@1 51.953 (47.547) Prec@5 76.172 (72.906)
Epoch: [56][2250/5005] Time 0.207 (0.212) Data 0.042 (0.048) Loss 2.1409 (2.2927) Prec@1 48.828 (47.541) Prec@5 74.609 (72.902)
Epoch: [56][2260/5005] Time 0.219 (0.212) Data 0.052 (0.048) Loss 2.2389 (2.2923) Prec@1 49.219 (47.543) Prec@5 70.312 (72.908)
Epoch: [56][2270/5005] Time 0.210 (0.212) Data 0.057 (0.048) Loss 2.5379 (2.2921) Prec@1 43.750 (47.546) Prec@5 65.625 (72.912)
Epoch: [56][2280/5005] Time 0.199 (0.212) Data 0.044 (0.048) Loss 2.2589 (2.2922) Prec@1 47.266 (47.547) Prec@5 73.828 (72.913)
Epoch: [56][2290/5005] Time 0.206 (0.212) Data 0.048 (0.048) Loss 2.1134 (2.2921) Prec@1 49.609 (47.551) Prec@5 78.906 (72.914)
Epoch: [56][2300/5005] Time 0.210 (0.212) Data 0.042 (0.048) Loss 2.2732 (2.2919) Prec@1 46.094 (47.555) Prec@5 72.656 (72.917)
Epoch: [56][2310/5005] Time 0.213 (0.212) Data 0.044 (0.048) Loss 2.1486 (2.2918) Prec@1 51.953 (47.559) Prec@5 74.219 (72.919)
Epoch: [56][2320/5005] Time 0.197 (0.212) Data 0.045 (0.048) Loss 2.4350 (2.2918) Prec@1 43.359 (47.559) Prec@5 69.922 (72.921)
Epoch: [56][2330/5005] Time 0.197 (0.212) Data 0.060 (0.048) Loss 2.3118 (2.2915) Prec@1 45.703 (47.564) Prec@5 71.875 (72.925)
Epoch: [56][2340/5005] Time 0.209 (0.212) Data 0.044 (0.048) Loss 2.3078 (2.2913) Prec@1 44.141 (47.565) Prec@5 70.703 (72.928)
Epoch: [56][2350/5005] Time 0.211 (0.212) Data 0.043 (0.048) Loss 2.2323 (2.2911) Prec@1 47.656 (47.569) Prec@5 71.875 (72.927)
Epoch: [56][2360/5005] Time 0.211 (0.212) Data 0.042 (0.048) Loss 2.3133 (2.2912) Prec@1 42.578 (47.563) Prec@5 69.922 (72.924)
Epoch: [56][2370/5005] Time 0.218 (0.212) Data 0.045 (0.048) Loss 2.3249 (2.2911) Prec@1 43.359 (47.555) Prec@5 71.094 (72.923)
Epoch: [56][2380/5005] Time 0.204 (0.212) Data 0.040 (0.048) Loss 2.2575 (2.2908) Prec@1 47.266 (47.561) Prec@5 73.438 (72.931)
Epoch: [56][2390/5005] Time 0.200 (0.212) Data 0.045 (0.048) Loss 2.2779 (2.2906) Prec@1 46.484 (47.564) Prec@5 76.562 (72.936)
Epoch: [56][2400/5005] Time 0.209 (0.212) Data 0.043 (0.048) Loss 2.2550 (2.2904) Prec@1 46.484 (47.565) Prec@5 70.312 (72.938)
Epoch: [56][2410/5005] Time 0.223 (0.212) Data 0.045 (0.048) Loss 2.4864 (2.2904) Prec@1 42.188 (47.566) Prec@5 68.359 (72.935)
Epoch: [56][2420/5005] Time 0.205 (0.212) Data 0.040 (0.048) Loss 2.4251 (2.2904) Prec@1 45.703 (47.566) Prec@5 72.266 (72.937)
Epoch: [56][2430/5005] Time 0.208 (0.212) Data 0.043 (0.048) Loss 2.1595 (2.2905) Prec@1 51.562 (47.563) Prec@5 73.047 (72.931)
Epoch: [56][2440/5005] Time 0.213 (0.212) Data 0.048 (0.048) Loss 1.9928 (2.2904) Prec@1 54.688 (47.565) Prec@5 76.562 (72.928)
Epoch: [56][2450/5005] Time 0.207 (0.212) Data 0.044 (0.048) Loss 2.1711 (2.2902) Prec@1 52.734 (47.572) Prec@5 71.875 (72.933)
Epoch: [56][2460/5005] Time 0.204 (0.212) Data 0.045 (0.048) Loss 2.2639 (2.2900) Prec@1 46.875 (47.575) Prec@5 73.438 (72.934)
Epoch: [56][2470/5005] Time 0.211 (0.212) Data 0.048 (0.048) Loss 2.0766 (2.2898) Prec@1 50.000 (47.576) Prec@5 76.953 (72.935)
Epoch: [56][2480/5005] Time 0.212 (0.212) Data 0.042 (0.048) Loss 2.3102 (2.2901) Prec@1 46.875 (47.572) Prec@5 73.047 (72.931)
Epoch: [56][2490/5005] Time 0.207 (0.212) Data 0.042 (0.048) Loss 2.0195 (2.2900) Prec@1 53.125 (47.575) Prec@5 80.859 (72.937)
Epoch: [56][2500/5005] Time 0.215 (0.212) Data 0.046 (0.048) Loss 2.2613 (2.2899) Prec@1 48.828 (47.578) Prec@5 73.047 (72.935)
Epoch: [56][2510/5005] Time 0.209 (0.212) Data 0.044 (0.048) Loss 2.2781 (2.2899) Prec@1 45.703 (47.576) Prec@5 75.781 (72.938)
Epoch: [56][2520/5005] Time 0.210 (0.212) Data 0.042 (0.048) Loss 2.1667 (2.2899) Prec@1 52.344 (47.576) Prec@5 73.047 (72.934)
Epoch: [56][2530/5005] Time 0.197 (0.212) Data 0.052 (0.048) Loss 2.4037 (2.2901) Prec@1 50.391 (47.574) Prec@5 69.141 (72.928)
Epoch: [56][2540/5005] Time 0.198 (0.212) Data 0.062 (0.048) Loss 2.1296 (2.2899) Prec@1 48.828 (47.583) Prec@5 73.828 (72.929)
Epoch: [56][2550/5005] Time 0.196 (0.212) Data 0.043 (0.048) Loss 2.2707 (2.2900) Prec@1 44.141 (47.582) Prec@5 75.391 (72.926)
Epoch: [56][2560/5005] Time 0.214 (0.212) Data 0.043 (0.048) Loss 2.4398 (2.2900) Prec@1 45.312 (47.581) Prec@5 70.312 (72.926)
Epoch: [56][2570/5005] Time 0.209 (0.212) Data 0.042 (0.048) Loss 2.1880 (2.2901) Prec@1 48.047 (47.582) Prec@5 77.344 (72.926)
Epoch: [56][2580/5005] Time 0.206 (0.212) Data 0.046 (0.048) Loss 2.3398 (2.2904) Prec@1 47.656 (47.572) Prec@5 71.094 (72.916)
Epoch: [56][2590/5005] Time 0.204 (0.212) Data 0.044 (0.048) Loss 2.1976 (2.2902) Prec@1 50.781 (47.582) Prec@5 75.781 (72.919)
Epoch: [56][2600/5005] Time 0.204 (0.212) Data 0.048 (0.048) Loss 2.4898 (2.2904) Prec@1 46.094 (47.577) Prec@5 70.312 (72.915)
Epoch: [56][2610/5005] Time 0.212 (0.212) Data 0.041 (0.048) Loss 2.4055 (2.2902) Prec@1 46.484 (47.581) Prec@5 69.922 (72.920)
Epoch: [56][2620/5005] Time 0.208 (0.212) Data 0.045 (0.048) Loss 2.2511 (2.2902) Prec@1 45.703 (47.582) Prec@5 72.266 (72.921)
Epoch: [56][2630/5005] Time 0.213 (0.211) Data 0.041 (0.048) Loss 2.4938 (2.2906) Prec@1 46.875 (47.577) Prec@5 69.922 (72.916)
Epoch: [56][2640/5005] Time 0.212 (0.211) Data 0.045 (0.048) Loss 2.4387 (2.2905) Prec@1 42.188 (47.581) Prec@5 71.875 (72.916)
Epoch: [56][2650/5005] Time 0.213 (0.211) Data 0.047 (0.048) Loss 2.4632 (2.2905) Prec@1 42.578 (47.586) Prec@5 67.969 (72.918)
Epoch: [56][2660/5005] Time 0.209 (0.211) Data 0.043 (0.048) Loss 2.3012 (2.2905) Prec@1 49.609 (47.588) Prec@5 72.656 (72.918)
Epoch: [56][2670/5005] Time 0.213 (0.211) Data 0.044 (0.048) Loss 1.9707 (2.2902) Prec@1 53.516 (47.596) Prec@5 76.953 (72.915)
Epoch: [56][2680/5005] Time 0.216 (0.211) Data 0.044 (0.048) Loss 2.2267 (2.2902) Prec@1 48.438 (47.592) Prec@5 73.047 (72.915)
Epoch: [56][2690/5005] Time 0.208 (0.211) Data 0.051 (0.048) Loss 2.0985 (2.2901) Prec@1 50.391 (47.597) Prec@5 79.688 (72.919)
Epoch: [56][2700/5005] Time 0.204 (0.211) Data 0.044 (0.048) Loss 2.1734 (2.2902) Prec@1 48.047 (47.588) Prec@5 73.828 (72.916)
Epoch: [56][2710/5005] Time 0.208 (0.211) Data 0.059 (0.048) Loss 2.1594 (2.2904) Prec@1 48.828 (47.582) Prec@5 75.781 (72.912)
Epoch: [56][2720/5005] Time 0.210 (0.211) Data 0.049 (0.048) Loss 2.1141 (2.2905) Prec@1 52.344 (47.583) Prec@5 76.562 (72.913)
Epoch: [56][2730/5005] Time 0.205 (0.211) Data 0.047 (0.048) Loss 2.3631 (2.2903) Prec@1 46.484 (47.588) Prec@5 72.266 (72.916)
Epoch: [56][2740/5005] Time 0.206 (0.211) Data 0.056 (0.048) Loss 2.2020 (2.2902) Prec@1 48.047 (47.591) Prec@5 75.391 (72.916)
Epoch: [56][2750/5005] Time 0.212 (0.211) Data 0.049 (0.048) Loss 2.2736 (2.2901) Prec@1 48.438 (47.592) Prec@5 67.969 (72.916)
Epoch: [56][2760/5005] Time 0.205 (0.211) Data 0.059 (0.048) Loss 2.2908 (2.2900) Prec@1 46.875 (47.597) Prec@5 71.875 (72.918)
Epoch: [56][2770/5005] Time 0.216 (0.211) Data 0.042 (0.048) Loss 2.2762 (2.2902) Prec@1 46.875 (47.593) Prec@5 74.219 (72.917)
Epoch: [56][2780/5005] Time 0.211 (0.211) Data 0.045 (0.048) Loss 2.4369 (2.2900) Prec@1 46.875 (47.597) Prec@5 70.312 (72.918)
Epoch: [56][2790/5005] Time 0.202 (0.211) Data 0.045 (0.048) Loss 2.4815 (2.2900) Prec@1 42.578 (47.597) Prec@5 67.188 (72.918)
Epoch: [56][2800/5005] Time 0.205 (0.211) Data 0.048 (0.048) Loss 1.9817 (2.2899) Prec@1 57.031 (47.602) Prec@5 79.688 (72.920)
Epoch: [56][2810/5005] Time 0.206 (0.211) Data 0.044 (0.048) Loss 2.4333 (2.2897) Prec@1 46.875 (47.606) Prec@5 69.141 (72.922)
Epoch: [56][2820/5005] Time 0.209 (0.211) Data 0.053 (0.048) Loss 2.1064 (2.2895) Prec@1 51.172 (47.610) Prec@5 76.172 (72.925)
Epoch: [56][2830/5005] Time 0.214 (0.211) Data 0.046 (0.048) Loss 2.5685 (2.2897) Prec@1 43.359 (47.606) Prec@5 67.578 (72.923)
Epoch: [56][2840/5005] Time 0.213 (0.211) Data 0.047 (0.048) Loss 2.2068 (2.2895) Prec@1 46.484 (47.606) Prec@5 73.828 (72.924)
Epoch: [56][2850/5005] Time 0.218 (0.211) Data 0.044 (0.048) Loss 2.1091 (2.2892) Prec@1 50.391 (47.611) Prec@5 75.391 (72.930)
Epoch: [56][2860/5005] Time 0.211 (0.211) Data 0.041 (0.048) Loss 2.3016 (2.2894) Prec@1 50.000 (47.608) Prec@5 73.828 (72.927)
Epoch: [56][2870/5005] Time 0.221 (0.211) Data 0.043 (0.048) Loss 2.1984 (2.2892) Prec@1 48.047 (47.611) Prec@5 75.000 (72.928)
Epoch: [56][2880/5005] Time 0.215 (0.211) Data 0.046 (0.048) Loss 2.2305 (2.2892) Prec@1 45.703 (47.611) Prec@5 75.000 (72.926)
Epoch: [56][2890/5005] Time 0.202 (0.211) Data 0.046 (0.048) Loss 2.2913 (2.2891) Prec@1 43.359 (47.614) Prec@5 72.266 (72.928)
Epoch: [56][2900/5005] Time 0.215 (0.211) Data 0.043 (0.048) Loss 1.9630 (2.2889) Prec@1 51.562 (47.617) Prec@5 78.906 (72.936)
Epoch: [56][2910/5005] Time 0.213 (0.211) Data 0.049 (0.048) Loss 2.0809 (2.2889) Prec@1 49.219 (47.615) Prec@5 78.516 (72.934)
Epoch: [56][2920/5005] Time 0.213 (0.211) Data 0.043 (0.048) Loss 2.4449 (2.2888) Prec@1 46.484 (47.616) Prec@5 70.703 (72.933)
Epoch: [56][2930/5005] Time 0.204 (0.211) Data 0.058 (0.048) Loss 2.4137 (2.2888) Prec@1 41.406 (47.615) Prec@5 72.656 (72.934)
Epoch: [56][2940/5005] Time 0.211 (0.211) Data 0.048 (0.048) Loss 2.3529 (2.2885) Prec@1 47.266 (47.619) Prec@5 72.266 (72.938)
Epoch: [56][2950/5005] Time 0.196 (0.211) Data 0.058 (0.048) Loss 2.5234 (2.2882) Prec@1 42.188 (47.627) Prec@5 68.750 (72.942)
Epoch: [56][2960/5005] Time 0.206 (0.211) Data 0.050 (0.048) Loss 2.3654 (2.2882) Prec@1 43.359 (47.625) Prec@5 72.656 (72.944)
Epoch: [56][2970/5005] Time 0.207 (0.211) Data 0.048 (0.048) Loss 2.4898 (2.2881) Prec@1 42.188 (47.626) Prec@5 70.703 (72.945)
Epoch: [56][2980/5005] Time 0.209 (0.211) Data 0.045 (0.048) Loss 2.4254 (2.2881) Prec@1 44.141 (47.623) Prec@5 71.875 (72.944)
Epoch: [56][2990/5005] Time 0.186 (0.211) Data 0.044 (0.048) Loss 2.2626 (2.2882) Prec@1 50.781 (47.622) Prec@5 72.656 (72.942)
Epoch: [56][3000/5005] Time 0.215 (0.211) Data 0.046 (0.048) Loss 2.2238 (2.2880) Prec@1 44.922 (47.626) Prec@5 75.000 (72.946)
Epoch: [56][3010/5005] Time 0.214 (0.211) Data 0.048 (0.048) Loss 2.0903 (2.2881) Prec@1 52.344 (47.622) Prec@5 76.172 (72.946)
Epoch: [56][3020/5005] Time 0.214 (0.211) Data 0.042 (0.048) Loss 2.3244 (2.2883) Prec@1 44.531 (47.619) Prec@5 71.484 (72.943)
Epoch: [56][3030/5005] Time 0.214 (0.211) Data 0.047 (0.048) Loss 2.3452 (2.2883) Prec@1 47.656 (47.619) Prec@5 73.438 (72.944)
Epoch: [56][3040/5005] Time 0.207 (0.211) Data 0.042 (0.048) Loss 2.2341 (2.2882) Prec@1 49.609 (47.625) Prec@5 72.656 (72.943)
Epoch: [56][3050/5005] Time 0.207 (0.211) Data 0.041 (0.048) Loss 2.1408 (2.2881) Prec@1 44.922 (47.625) Prec@5 78.906 (72.948)
Epoch: [56][3060/5005] Time 0.205 (0.211) Data 0.047 (0.048) Loss 2.1910 (2.2879) Prec@1 52.344 (47.625) Prec@5 74.219 (72.950)
Epoch: [56][3070/5005] Time 0.198 (0.211) Data 0.048 (0.048) Loss 2.3258 (2.2881) Prec@1 49.609 (47.624) Prec@5 71.094 (72.945)
Epoch: [56][3080/5005] Time 0.212 (0.211) Data 0.043 (0.048) Loss 2.2587 (2.2882) Prec@1 44.531 (47.618) Prec@5 74.219 (72.946)
Epoch: [56][3090/5005] Time 0.210 (0.211) Data 0.043 (0.048) Loss 2.5750 (2.2882) Prec@1 43.750 (47.620) Prec@5 65.625 (72.945)
Epoch: [56][3100/5005] Time 0.213 (0.211) Data 0.042 (0.048) Loss 2.2647 (2.2883) Prec@1 49.219 (47.617) Prec@5 71.484 (72.944)
Epoch: [56][3110/5005] Time 0.212 (0.211) Data 0.044 (0.048) Loss 2.1412 (2.2881) Prec@1 47.656 (47.623) Prec@5 76.562 (72.948)
Epoch: [56][3120/5005] Time 0.211 (0.211) Data 0.043 (0.048) Loss 2.3263 (2.2880) Prec@1 43.359 (47.621) Prec@5 73.047 (72.947)
Epoch: [56][3130/5005] Time 0.209 (0.211) Data 0.045 (0.048) Loss 2.4264 (2.2878) Prec@1 43.750 (47.625) Prec@5 71.484 (72.950)
Epoch: [56][3140/5005] Time 0.209 (0.211) Data 0.041 (0.048) Loss 2.1404 (2.2876) Prec@1 51.172 (47.630) Prec@5 76.172 (72.953)
Epoch: [56][3150/5005] Time 0.215 (0.211) Data 0.044 (0.048) Loss 2.2287 (2.2874) Prec@1 51.562 (47.637) Prec@5 71.875 (72.955)
Epoch: [56][3160/5005] Time 0.212 (0.211) Data 0.044 (0.048) Loss 2.1062 (2.2873) Prec@1 51.172 (47.644) Prec@5 74.609 (72.953)
Epoch: [56][3170/5005] Time 0.213 (0.211) Data 0.044 (0.048) Loss 2.3391 (2.2873) Prec@1 46.484 (47.647) Prec@5 71.875 (72.954)
Epoch: [56][3180/5005] Time 0.201 (0.211) Data 0.043 (0.048) Loss 1.9963 (2.2874) Prec@1 57.422 (47.648) Prec@5 78.125 (72.954)
Epoch: [56][3190/5005] Time 0.215 (0.211) Data 0.043 (0.048) Loss 2.3702 (2.2875) Prec@1 49.219 (47.649) Prec@5 68.750 (72.954)
Epoch: [56][3200/5005] Time 0.211 (0.211) Data 0.043 (0.048) Loss 2.3772 (2.2874) Prec@1 44.922 (47.649) Prec@5 71.094 (72.953)
Epoch: [56][3210/5005] Time 0.218 (0.211) Data 0.044 (0.048) Loss 2.3565 (2.2875) Prec@1 46.094 (47.650) Prec@5 72.266 (72.955)
Epoch: [56][3220/5005] Time 0.212 (0.211) Data 0.045 (0.048) Loss 2.3902 (2.2874) Prec@1 49.219 (47.655) Prec@5 70.312 (72.955)
Epoch: [56][3230/5005] Time 0.213 (0.211) Data 0.049 (0.048) Loss 2.1929 (2.2872) Prec@1 50.391 (47.659) Prec@5 73.047 (72.957)
Epoch: [56][3240/5005] Time 0.213 (0.211) Data 0.045 (0.048) Loss 2.5802 (2.2876) Prec@1 41.797 (47.654) Prec@5 70.703 (72.950)
Epoch: [56][3250/5005] Time 0.210 (0.211) Data 0.045 (0.048) Loss 2.1300 (2.2876) Prec@1 51.172 (47.655) Prec@5 74.219 (72.949)
Epoch: [56][3260/5005] Time 0.205 (0.211) Data 0.046 (0.048) Loss 2.1735 (2.2876) Prec@1 51.953 (47.655) Prec@5 72.656 (72.949)
Epoch: [56][3270/5005] Time 0.209 (0.211) Data 0.045 (0.048) Loss 2.3780 (2.2875) Prec@1 45.312 (47.656) Prec@5 68.750 (72.951)
Epoch: [56][3280/5005] Time 0.217 (0.211) Data 0.045 (0.048) Loss 2.2541 (2.2875) Prec@1 51.562 (47.653) Prec@5 73.828 (72.954)
Epoch: [56][3290/5005] Time 0.212 (0.211) Data 0.043 (0.048) Loss 2.2344 (2.2874) Prec@1 46.875 (47.650) Prec@5 72.266 (72.959)
Epoch: [56][3300/5005] Time 0.210 (0.211) Data 0.050 (0.048) Loss 2.2229 (2.2873) Prec@1 44.141 (47.649) Prec@5 71.094 (72.957)
Epoch: [56][3310/5005] Time 0.211 (0.211) Data 0.042 (0.048) Loss 2.1988 (2.2874) Prec@1 50.781 (47.648) Prec@5 74.219 (72.954)
Epoch: [56][3320/5005] Time 0.211 (0.211) Data 0.049 (0.048) Loss 2.3126 (2.2873) Prec@1 50.781 (47.649) Prec@5 71.094 (72.956)
Epoch: [56][3330/5005] Time 0.207 (0.211) Data 0.060 (0.048) Loss 2.4056 (2.2874) Prec@1 44.141 (47.645) Prec@5 71.484 (72.956)
Epoch: [56][3340/5005] Time 0.212 (0.211) Data 0.052 (0.048) Loss 2.3564 (2.2875) Prec@1 46.875 (47.643) Prec@5 71.484 (72.957)
Epoch: [56][3350/5005] Time 0.209 (0.211) Data 0.061 (0.048) Loss 2.4173 (2.2874) Prec@1 43.750 (47.645) Prec@5 71.484 (72.958)
Epoch: [56][3360/5005] Time 0.193 (0.211) Data 0.065 (0.048) Loss 2.2327 (2.2875) Prec@1 50.000 (47.645) Prec@5 76.172 (72.957)
Epoch: [56][3370/5005] Time 0.200 (0.211) Data 0.041 (0.048) Loss 2.3429 (2.2875) Prec@1 45.312 (47.645) Prec@5 72.266 (72.953)
Epoch: [56][3380/5005] Time 0.208 (0.211) Data 0.042 (0.048) Loss 2.2219 (2.2873) Prec@1 48.438 (47.649) Prec@5 72.656 (72.956)
Epoch: [56][3390/5005] Time 0.217 (0.211) Data 0.044 (0.048) Loss 2.1927 (2.2874) Prec@1 46.484 (47.645) Prec@5 75.391 (72.955)
Epoch: [56][3400/5005] Time 0.203 (0.211) Data 0.043 (0.048) Loss 2.1570 (2.2874) Prec@1 48.828 (47.648) Prec@5 77.344 (72.953)
Epoch: [56][3410/5005] Time 0.212 (0.211) Data 0.044 (0.048) Loss 2.1768 (2.2872) Prec@1 52.734 (47.652) Prec@5 77.734 (72.957)
Epoch: [56][3420/5005] Time 0.205 (0.211) Data 0.043 (0.048) Loss 2.1455 (2.2870) Prec@1 51.953 (47.654) Prec@5 76.562 (72.961)
Epoch: [56][3430/5005] Time 0.209 (0.211) Data 0.042 (0.048) Loss 2.2356 (2.2870) Prec@1 50.781 (47.655) Prec@5 75.000 (72.962)
Epoch: [56][3440/5005] Time 0.206 (0.211) Data 0.070 (0.048) Loss 2.2262 (2.2869) Prec@1 50.000 (47.659) Prec@5 74.609 (72.966)
Epoch: [56][3450/5005] Time 0.201 (0.211) Data 0.042 (0.048) Loss 2.2253 (2.2867) Prec@1 44.922 (47.660) Prec@5 72.656 (72.967)
Epoch: [56][3460/5005] Time 0.210 (0.211) Data 0.046 (0.048) Loss 2.2516 (2.2866) Prec@1 48.047 (47.663) Prec@5 73.828 (72.969)
Epoch: [56][3470/5005] Time 0.215 (0.211) Data 0.045 (0.048) Loss 2.1594 (2.2866) Prec@1 51.172 (47.664) Prec@5 76.562 (72.969)
Epoch: [56][3480/5005] Time 0.213 (0.211) Data 0.046 (0.048) Loss 2.2564 (2.2864) Prec@1 44.922 (47.666) Prec@5 73.828 (72.973)
Epoch: [56][3490/5005] Time 0.213 (0.211) Data 0.043 (0.048) Loss 2.2793 (2.2864) Prec@1 46.094 (47.664) Prec@5 73.047 (72.973)
Epoch: [56][3500/5005] Time 0.213 (0.211) Data 0.044 (0.048) Loss 2.1378 (2.2864) Prec@1 48.438 (47.661) Prec@5 76.953 (72.974)
Epoch: [56][3510/5005] Time 0.203 (0.211) Data 0.042 (0.048) Loss 2.1805 (2.2862) Prec@1 49.609 (47.662) Prec@5 74.219 (72.977)
Epoch: [56][3520/5005] Time 0.205 (0.211) Data 0.058 (0.048) Loss 2.4203 (2.2863) Prec@1 44.531 (47.661) Prec@5 71.875 (72.979)
Epoch: [56][3530/5005] Time 0.200 (0.211) Data 0.042 (0.048) Loss 2.2431 (2.2862) Prec@1 49.219 (47.664) Prec@5 73.828 (72.980)
Epoch: [56][3540/5005] Time 0.200 (0.211) Data 0.058 (0.048) Loss 2.2165 (2.2859) Prec@1 48.047 (47.667) Prec@5 75.391 (72.985)
Epoch: [56][3550/5005] Time 0.210 (0.211) Data 0.044 (0.048) Loss 2.3555 (2.2858) Prec@1 44.922 (47.667) Prec@5 70.312 (72.988)
Epoch: [56][3560/5005] Time 0.200 (0.211) Data 0.044 (0.048) Loss 2.3720 (2.2856) Prec@1 44.141 (47.670) Prec@5 71.484 (72.991)
Epoch: [56][3570/5005] Time 0.215 (0.211) Data 0.039 (0.048) Loss 2.3086 (2.2856) Prec@1 46.875 (47.667) Prec@5 75.391 (72.991)
Epoch: [56][3580/5005] Time 0.216 (0.211) Data 0.040 (0.048) Loss 2.1087 (2.2856) Prec@1 52.344 (47.670) Prec@5 75.391 (72.991)
Epoch: [56][3590/5005] Time 0.212 (0.211) Data 0.047 (0.048) Loss 2.3643 (2.2853) Prec@1 45.312 (47.674) Prec@5 68.750 (72.994)
Epoch: [56][3600/5005] Time 0.209 (0.211) Data 0.053 (0.048) Loss 2.3526 (2.2850) Prec@1 44.922 (47.679) Prec@5 72.656 (72.996)
Epoch: [56][3610/5005] Time 0.204 (0.211) Data 0.051 (0.048) Loss 2.0894 (2.2851) Prec@1 53.906 (47.679) Prec@5 76.562 (72.996)
Epoch: [56][3620/5005] Time 0.210 (0.211) Data 0.047 (0.048) Loss 2.3096 (2.2848) Prec@1 48.438 (47.686) Prec@5 70.703 (73.000)
Epoch: [56][3630/5005] Time 0.211 (0.211) Data 0.045 (0.048) Loss 2.4829 (2.2847) Prec@1 44.141 (47.686) Prec@5 67.969 (73.000)
Epoch: [56][3640/5005] Time 0.204 (0.211) Data 0.044 (0.048) Loss 2.2166 (2.2847) Prec@1 48.438 (47.687) Prec@5 74.219 (72.999)
Epoch: [56][3650/5005] Time 0.212 (0.211) Data 0.044 (0.048) Loss 2.0776 (2.2846) Prec@1 48.828 (47.687) Prec@5 76.953 (73.002)
Epoch: [56][3660/5005] Time 0.216 (0.211) Data 0.042 (0.048) Loss 2.4077 (2.2845) Prec@1 44.141 (47.687) Prec@5 69.531 (73.004)
Epoch: [56][3670/5005] Time 0.213 (0.211) Data 0.042 (0.048) Loss 2.3736 (2.2846) Prec@1 44.531 (47.687) Prec@5 70.703 (73.004)
Epoch: [56][3680/5005] Time 0.211 (0.211) Data 0.044 (0.048) Loss 2.1832 (2.2847) Prec@1 48.828 (47.684) Prec@5 72.266 (73.003)
Epoch: [56][3690/5005] Time 0.203 (0.211) Data 0.044 (0.048) Loss 2.1021 (2.2846) Prec@1 51.953 (47.685) Prec@5 77.734 (73.007)
Epoch: [56][3700/5005] Time 0.209 (0.211) Data 0.052 (0.048) Loss 2.3004 (2.2846) Prec@1 47.656 (47.687) Prec@5 73.438 (73.006)
Epoch: [56][3710/5005] Time 0.209 (0.211) Data 0.058 (0.048) Loss 2.2673 (2.2846) Prec@1 49.219 (47.686) Prec@5 71.484 (73.006)
Epoch: [56][3720/5005] Time 0.207 (0.211) Data 0.042 (0.048) Loss 2.3179 (2.2846) Prec@1 48.828 (47.687) Prec@5 76.172 (73.009)
Epoch: [56][3730/5005] Time 0.210 (0.211) Data 0.046 (0.048) Loss 2.1249 (2.2845) Prec@1 51.953 (47.690) Prec@5 76.562 (73.013)
Epoch: [56][3740/5005] Time 0.201 (0.211) Data 0.043 (0.048) Loss 2.2347 (2.2841) Prec@1 48.047 (47.692) Prec@5 73.828 (73.018)
Epoch: [56][3750/5005] Time 0.206 (0.211) Data 0.059 (0.048) Loss 2.0981 (2.2841) Prec@1 50.781 (47.693) Prec@5 76.562 (73.017)
Epoch: [56][3760/5005] Time 0.198 (0.211) Data 0.043 (0.048) Loss 2.2801 (2.2841) Prec@1 46.875 (47.691) Prec@5 75.391 (73.018)
Epoch: [56][3770/5005] Time 0.209 (0.211) Data 0.043 (0.048) Loss 2.4123 (2.2841) Prec@1 44.922 (47.692) Prec@5 66.016 (73.018)
Epoch: [56][3780/5005] Time 0.203 (0.211) Data 0.040 (0.048) Loss 2.2911 (2.2840) Prec@1 46.875 (47.691) Prec@5 70.312 (73.018)
Epoch: [56][3790/5005] Time 0.213 (0.211) Data 0.046 (0.048) Loss 2.4115 (2.2840) Prec@1 45.703 (47.690) Prec@5 73.828 (73.021)
Epoch: [56][3800/5005] Time 0.207 (0.211) Data 0.044 (0.048) Loss 2.2804 (2.2842) Prec@1 46.875 (47.686) Prec@5 70.703 (73.017)
Epoch: [56][3810/5005] Time 0.211 (0.211) Data 0.044 (0.048) Loss 2.1751 (2.2843) Prec@1 48.438 (47.684) Prec@5 71.875 (73.011)
Epoch: [56][3820/5005] Time 0.211 (0.211) Data 0.044 (0.048) Loss 2.1338 (2.2841) Prec@1 49.609 (47.688) Prec@5 76.953 (73.015)
Epoch: [56][3830/5005] Time 0.212 (0.211) Data 0.044 (0.048) Loss 2.3308 (2.2839) Prec@1 44.922 (47.690) Prec@5 71.484 (73.017)
Epoch: [56][3840/5005] Time 0.213 (0.211) Data 0.043 (0.048) Loss 2.4887 (2.2840) Prec@1 40.625 (47.685) Prec@5 67.188 (73.012)
Epoch: [56][3850/5005] Time 0.213 (0.211) Data 0.047 (0.048) Loss 2.2582 (2.2839) Prec@1 45.312 (47.683) Prec@5 74.609 (73.018)
Epoch: [56][3860/5005] Time 0.212 (0.211) Data 0.063 (0.048) Loss 2.2086 (2.2839) Prec@1 49.609 (47.685) Prec@5 73.438 (73.015)
Epoch: [56][3870/5005] Time 0.202 (0.211) Data 0.058 (0.048) Loss 2.1269 (2.2839) Prec@1 50.000 (47.684) Prec@5 75.391 (73.013)
Epoch: [56][3880/5005] Time 0.200 (0.211) Data 0.052 (0.048) Loss 2.2159 (2.2839) Prec@1 50.781 (47.688) Prec@5 75.781 (73.013)
Epoch: [56][3890/5005] Time 0.216 (0.211) Data 0.042 (0.048) Loss 2.4668 (2.2839) Prec@1 46.875 (47.691) Prec@5 70.312 (73.013)
Epoch: [56][3900/5005] Time 0.205 (0.211) Data 0.046 (0.048) Loss 2.4674 (2.2839) Prec@1 43.750 (47.691) Prec@5 71.484 (73.012)
Epoch: [56][3910/5005] Time 0.201 (0.211) Data 0.053 (0.048) Loss 2.3370 (2.2840) Prec@1 47.266 (47.688) Prec@5 70.703 (73.011)
Epoch: [56][3920/5005] Time 0.208 (0.211) Data 0.049 (0.048) Loss 2.3380 (2.2840) Prec@1 48.047 (47.691) Prec@5 74.219 (73.010)
Epoch: [56][3930/5005] Time 0.216 (0.211) Data 0.054 (0.048) Loss 2.2859 (2.2838) Prec@1 45.703 (47.692) Prec@5 73.438 (73.011)
Epoch: [56][3940/5005] Time 0.197 (0.211) Data 0.048 (0.048) Loss 2.2994 (2.2837) Prec@1 47.656 (47.693) Prec@5 70.703 (73.011)
Epoch: [56][3950/5005] Time 0.206 (0.211) Data 0.046 (0.048) Loss 2.2168 (2.2836) Prec@1 46.094 (47.696) Prec@5 77.734 (73.014)
Epoch: [56][3960/5005] Time 0.216 (0.211) Data 0.041 (0.048) Loss 2.1961 (2.2837) Prec@1 46.484 (47.695) Prec@5 78.125 (73.015)
Epoch: [56][3970/5005] Time 0.216 (0.211) Data 0.042 (0.048) Loss 2.2380 (2.2836) Prec@1 47.656 (47.694) Prec@5 75.781 (73.017)
Epoch: [56][3980/5005] Time 0.209 (0.211) Data 0.048 (0.048) Loss 2.1387 (2.2835) Prec@1 49.609 (47.697) Prec@5 75.781 (73.018)
Epoch: [56][3990/5005] Time 0.206 (0.211) Data 0.059 (0.048) Loss 2.4211 (2.2836) Prec@1 45.703 (47.694) Prec@5 70.703 (73.015)
Epoch: [56][4000/5005] Time 0.217 (0.211) Data 0.047 (0.048) Loss 2.2562 (2.2837) Prec@1 44.922 (47.692) Prec@5 71.875 (73.013)
Epoch: [56][4010/5005] Time 0.209 (0.211) Data 0.060 (0.048) Loss 2.2685 (2.2834) Prec@1 48.438 (47.696) Prec@5 74.219 (73.017)
Epoch: [56][4020/5005] Time 0.201 (0.211) Data 0.045 (0.048) Loss 2.4438 (2.2834) Prec@1 45.703 (47.693) Prec@5 70.703 (73.017)
Epoch: [56][4030/5005] Time 0.187 (0.211) Data 0.048 (0.048) Loss 2.4297 (2.2837) Prec@1 45.312 (47.688) Prec@5 70.703 (73.014)
Epoch: [56][4040/5005] Time 0.203 (0.211) Data 0.042 (0.048) Loss 2.2810 (2.2838) Prec@1 47.266 (47.687) Prec@5 73.438 (73.012)
Epoch: [56][4050/5005] Time 0.211 (0.211) Data 0.044 (0.048) Loss 2.4766 (2.2837) Prec@1 39.844 (47.688) Prec@5 68.750 (73.012)
Epoch: [56][4060/5005] Time 0.211 (0.211) Data 0.044 (0.048) Loss 2.2306 (2.2837) Prec@1 51.172 (47.685) Prec@5 73.438 (73.010)
Epoch: [56][4070/5005] Time 0.208 (0.211) Data 0.045 (0.048) Loss 2.5122 (2.2838) Prec@1 44.141 (47.683) Prec@5 69.922 (73.010)
Epoch: [56][4080/5005] Time 0.210 (0.211) Data 0.047 (0.048) Loss 2.0788 (2.2837) Prec@1 47.656 (47.685) Prec@5 78.125 (73.010)
Epoch: [56][4090/5005] Time 0.210 (0.211) Data 0.041 (0.048) Loss 2.4769 (2.2837) Prec@1 44.531 (47.685) Prec@5 70.312 (73.010)
Epoch: [56][4100/5005] Time 0.197 (0.211) Data 0.046 (0.048) Loss 2.2058 (2.2835) Prec@1 48.047 (47.687) Prec@5 75.391 (73.013)
Epoch: [56][4110/5005] Time 0.209 (0.211) Data 0.048 (0.048) Loss 2.4109 (2.2834) Prec@1 43.750 (47.690) Prec@5 70.703 (73.016)
Epoch: [56][4120/5005] Time 0.204 (0.211) Data 0.047 (0.048) Loss 2.3927 (2.2833) Prec@1 43.750 (47.692) Prec@5 69.922 (73.018)
Epoch: [56][4130/5005] Time 0.206 (0.211) Data 0.045 (0.048) Loss 2.4437 (2.2832) Prec@1 38.672 (47.692) Prec@5 67.578 (73.018)
Epoch: [56][4140/5005] Time 0.197 (0.211) Data 0.040 (0.048) Loss 2.3107 (2.2832) Prec@1 43.359 (47.695) Prec@5 70.703 (73.019)
Epoch: [56][4150/5005] Time 0.209 (0.211) Data 0.045 (0.048) Loss 2.5366 (2.2832) Prec@1 40.625 (47.691) Prec@5 69.531 (73.017)
Epoch: [56][4160/5005] Time 0.211 (0.211) Data 0.045 (0.048) Loss 2.1881 (2.2834) Prec@1 48.438 (47.690) Prec@5 73.828 (73.015)
Epoch: [56][4170/5005] Time 0.209 (0.211) Data 0.041 (0.048) Loss 2.2277 (2.2833) Prec@1 45.312 (47.691) Prec@5 73.828 (73.018)
Epoch: [56][4180/5005] Time 0.208 (0.211) Data 0.044 (0.048) Loss 2.0922 (2.2832) Prec@1 53.125 (47.697) Prec@5 75.781 (73.020)
Epoch: [56][4190/5005] Time 0.211 (0.211) Data 0.043 (0.048) Loss 2.1664 (2.2833) Prec@1 47.266 (47.697) Prec@5 75.000 (73.018)
Epoch: [56][4200/5005] Time 0.209 (0.211) Data 0.045 (0.048) Loss 2.1122 (2.2833) Prec@1 46.875 (47.698) Prec@5 75.781 (73.019)
Epoch: [56][4210/5005] Time 0.208 (0.211) Data 0.048 (0.048) Loss 2.1177 (2.2831) Prec@1 51.953 (47.702) Prec@5 75.000 (73.022)
Epoch: [56][4220/5005] Time 0.208 (0.211) Data 0.048 (0.048) Loss 2.4968 (2.2833) Prec@1 43.750 (47.699) Prec@5 69.141 (73.019)
Epoch: [56][4230/5005] Time 0.207 (0.211) Data 0.051 (0.048) Loss 2.3011 (2.2832) Prec@1 48.438 (47.698) Prec@5 73.047 (73.020)
Epoch: [56][4240/5005] Time 0.203 (0.210) Data 0.064 (0.048) Loss 2.2199 (2.2833) Prec@1 47.266 (47.697) Prec@5 74.609 (73.020)
Epoch: [56][4250/5005] Time 0.214 (0.210) Data 0.058 (0.048) Loss 2.1225 (2.2832) Prec@1 52.734 (47.697) Prec@5 75.391 (73.022)
Epoch: [56][4260/5005] Time 0.196 (0.210) Data 0.064 (0.048) Loss 2.2303 (2.2831) Prec@1 46.094 (47.697) Prec@5 75.391 (73.021)
Epoch: [56][4270/5005] Time 0.195 (0.210) Data 0.066 (0.048) Loss 2.5271 (2.2832) Prec@1 46.094 (47.697) Prec@5 67.969 (73.019)
Epoch: [56][4280/5005] Time 0.206 (0.210) Data 0.049 (0.048) Loss 2.3128 (2.2832) Prec@1 51.562 (47.699) Prec@5 71.094 (73.017)
Epoch: [56][4290/5005] Time 0.203 (0.210) Data 0.049 (0.048) Loss 2.5084 (2.2833) Prec@1 42.188 (47.700) Prec@5 70.703 (73.018)
Epoch: [56][4300/5005] Time 0.217 (0.210) Data 0.046 (0.048) Loss 2.0767 (2.2830) Prec@1 49.219 (47.706) Prec@5 76.172 (73.021)
Epoch: [56][4310/5005] Time 0.190 (0.210) Data 0.052 (0.048) Loss 2.1851 (2.2829) Prec@1 49.219 (47.709) Prec@5 73.438 (73.022)
Epoch: [56][4320/5005] Time 0.192 (0.210) Data 0.044 (0.048) Loss 2.2302 (2.2828) Prec@1 48.438 (47.710) Prec@5 73.438 (73.022)
Epoch: [56][4330/5005] Time 0.203 (0.210) Data 0.046 (0.048) Loss 2.1742 (2.2828) Prec@1 48.438 (47.712) Prec@5 75.781 (73.022)
Epoch: [56][4340/5005] Time 0.208 (0.210) Data 0.042 (0.048) Loss 2.3030 (2.2828) Prec@1 47.656 (47.709) Prec@5 69.141 (73.022)
Epoch: [56][4350/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.2981 (2.2828) Prec@1 49.609 (47.708) Prec@5 71.484 (73.023)
Epoch: [56][4360/5005] Time 0.204 (0.210) Data 0.044 (0.048) Loss 2.0685 (2.2827) Prec@1 50.781 (47.709) Prec@5 77.344 (73.024)
Epoch: [56][4370/5005] Time 0.205 (0.210) Data 0.049 (0.048) Loss 2.2009 (2.2828) Prec@1 47.656 (47.709) Prec@5 73.047 (73.024)
Epoch: [56][4380/5005] Time 0.209 (0.210) Data 0.048 (0.048) Loss 2.3479 (2.2828) Prec@1 42.969 (47.706) Prec@5 71.094 (73.024)
Epoch: [56][4390/5005] Time 0.193 (0.210) Data 0.042 (0.048) Loss 2.3867 (2.2826) Prec@1 49.219 (47.712) Prec@5 67.969 (73.023)
Epoch: [56][4400/5005] Time 0.212 (0.210) Data 0.045 (0.048) Loss 2.2491 (2.2826) Prec@1 44.922 (47.711) Prec@5 72.656 (73.023)
Epoch: [56][4410/5005] Time 0.204 (0.210) Data 0.065 (0.048) Loss 2.2403 (2.2825) Prec@1 50.000 (47.712) Prec@5 70.703 (73.023)
Epoch: [56][4420/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.0597 (2.2824) Prec@1 51.172 (47.713) Prec@5 78.125 (73.025)
Epoch: [56][4430/5005] Time 0.211 (0.210) Data 0.046 (0.048) Loss 2.3076 (2.2823) Prec@1 46.484 (47.718) Prec@5 72.266 (73.028)
Epoch: [56][4440/5005] Time 0.211 (0.210) Data 0.045 (0.048) Loss 2.4640 (2.2823) Prec@1 45.312 (47.719) Prec@5 66.797 (73.026)
Epoch: [56][4450/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.1005 (2.2822) Prec@1 53.125 (47.720) Prec@5 75.000 (73.027)
Epoch: [56][4460/5005] Time 0.209 (0.210) Data 0.042 (0.048) Loss 2.3568 (2.2821) Prec@1 47.656 (47.721) Prec@5 71.875 (73.029)
Epoch: [56][4470/5005] Time 0.207 (0.210) Data 0.041 (0.048) Loss 2.1575 (2.2822) Prec@1 50.000 (47.719) Prec@5 74.609 (73.029)
Epoch: [56][4480/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.1541 (2.2823) Prec@1 50.000 (47.718) Prec@5 75.781 (73.028)
Epoch: [56][4490/5005] Time 0.206 (0.210) Data 0.041 (0.048) Loss 2.4412 (2.2823) Prec@1 44.141 (47.716) Prec@5 72.266 (73.027)
Epoch: [56][4500/5005] Time 0.206 (0.210) Data 0.044 (0.048) Loss 2.2243 (2.2823) Prec@1 48.828 (47.715) Prec@5 73.828 (73.028)
Epoch: [56][4510/5005] Time 0.211 (0.210) Data 0.061 (0.048) Loss 2.0619 (2.2823) Prec@1 53.516 (47.713) Prec@5 76.953 (73.026)
Epoch: [56][4520/5005] Time 0.218 (0.210) Data 0.042 (0.048) Loss 2.1804 (2.2821) Prec@1 50.000 (47.717) Prec@5 74.609 (73.031)
Epoch: [56][4530/5005] Time 0.213 (0.210) Data 0.042 (0.048) Loss 2.1776 (2.2820) Prec@1 49.609 (47.720) Prec@5 76.953 (73.033)
Epoch: [56][4540/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.3380 (2.2822) Prec@1 46.875 (47.717) Prec@5 73.438 (73.029)
Epoch: [56][4550/5005] Time 0.201 (0.210) Data 0.047 (0.048) Loss 2.2756 (2.2821) Prec@1 47.266 (47.720) Prec@5 74.219 (73.034)
Epoch: [56][4560/5005] Time 0.194 (0.210) Data 0.046 (0.048) Loss 2.1960 (2.2820) Prec@1 48.047 (47.723) Prec@5 74.609 (73.034)
Epoch: [56][4570/5005] Time 0.209 (0.210) Data 0.042 (0.048) Loss 2.3757 (2.2819) Prec@1 49.219 (47.725) Prec@5 71.094 (73.034)
Epoch: [56][4580/5005] Time 0.205 (0.210) Data 0.047 (0.048) Loss 2.4754 (2.2818) Prec@1 42.969 (47.727) Prec@5 71.094 (73.036)
Epoch: [56][4590/5005] Time 0.206 (0.210) Data 0.051 (0.048) Loss 2.1838 (2.2818) Prec@1 50.000 (47.730) Prec@5 77.734 (73.038)
Epoch: [56][4600/5005] Time 0.199 (0.210) Data 0.046 (0.048) Loss 2.1385 (2.2819) Prec@1 47.656 (47.730) Prec@5 77.344 (73.036)
Epoch: [56][4610/5005] Time 0.202 (0.210) Data 0.047 (0.048) Loss 2.0846 (2.2819) Prec@1 48.828 (47.728) Prec@5 73.828 (73.035)
Epoch: [56][4620/5005] Time 0.206 (0.210) Data 0.042 (0.048) Loss 2.1405 (2.2818) Prec@1 51.172 (47.728) Prec@5 75.000 (73.035)
Epoch: [56][4630/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 1.9846 (2.2816) Prec@1 52.344 (47.734) Prec@5 79.297 (73.039)
Epoch: [56][4640/5005] Time 0.201 (0.210) Data 0.056 (0.048) Loss 2.2929 (2.2815) Prec@1 48.438 (47.733) Prec@5 71.875 (73.041)
Epoch: [56][4650/5005] Time 0.208 (0.210) Data 0.044 (0.048) Loss 2.3268 (2.2815) Prec@1 44.141 (47.736) Prec@5 71.094 (73.042)
Epoch: [56][4660/5005] Time 0.200 (0.210) Data 0.049 (0.048) Loss 2.5294 (2.2814) Prec@1 40.625 (47.735) Prec@5 70.703 (73.043)
Epoch: [56][4670/5005] Time 0.210 (0.210) Data 0.047 (0.048) Loss 2.1077 (2.2812) Prec@1 48.047 (47.739) Prec@5 75.391 (73.045)
Epoch: [56][4680/5005] Time 0.202 (0.210) Data 0.058 (0.048) Loss 2.1701 (2.2812) Prec@1 48.828 (47.740) Prec@5 77.734 (73.046)
Epoch: [56][4690/5005] Time 0.205 (0.210) Data 0.060 (0.048) Loss 2.2665 (2.2813) Prec@1 46.094 (47.737) Prec@5 73.438 (73.046)
Epoch: [56][4700/5005] Time 0.203 (0.210) Data 0.062 (0.048) Loss 2.2494 (2.2811) Prec@1 51.562 (47.743) Prec@5 75.781 (73.050)
Epoch: [56][4710/5005] Time 0.202 (0.210) Data 0.057 (0.048) Loss 2.1304 (2.2809) Prec@1 53.516 (47.747) Prec@5 76.562 (73.055)
Epoch: [56][4720/5005] Time 0.216 (0.210) Data 0.048 (0.048) Loss 2.2335 (2.2809) Prec@1 50.781 (47.748) Prec@5 75.391 (73.054)
Epoch: [56][4730/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.2561 (2.2809) Prec@1 48.047 (47.748) Prec@5 75.000 (73.055)
Epoch: [56][4740/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.2393 (2.2808) Prec@1 48.438 (47.751) Prec@5 72.266 (73.055)
Epoch: [56][4750/5005] Time 0.199 (0.210) Data 0.042 (0.048) Loss 2.1492 (2.2807) Prec@1 50.781 (47.752) Prec@5 74.609 (73.056)
Epoch: [56][4760/5005] Time 0.211 (0.210) Data 0.049 (0.048) Loss 2.5382 (2.2806) Prec@1 45.312 (47.752) Prec@5 72.656 (73.058)
Epoch: [56][4770/5005] Time 0.200 (0.210) Data 0.043 (0.048) Loss 2.1744 (2.2806) Prec@1 47.266 (47.752) Prec@5 76.953 (73.059)
Epoch: [56][4780/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.3154 (2.2806) Prec@1 51.562 (47.755) Prec@5 72.266 (73.059)
Epoch: [56][4790/5005] Time 0.208 (0.210) Data 0.044 (0.048) Loss 2.6297 (2.2806) Prec@1 40.625 (47.756) Prec@5 66.797 (73.059)
Epoch: [56][4800/5005] Time 0.214 (0.210) Data 0.041 (0.048) Loss 2.3213 (2.2805) Prec@1 46.094 (47.757) Prec@5 75.000 (73.059)
Epoch: [56][4810/5005] Time 0.203 (0.210) Data 0.044 (0.048) Loss 2.3264 (2.2804) Prec@1 49.609 (47.759) Prec@5 73.047 (73.060)
Epoch: [56][4820/5005] Time 0.198 (0.210) Data 0.046 (0.048) Loss 2.3816 (2.2803) Prec@1 46.875 (47.762) Prec@5 70.703 (73.061)
Epoch: [56][4830/5005] Time 0.217 (0.210) Data 0.042 (0.048) Loss 2.2468 (2.2801) Prec@1 47.656 (47.765) Prec@5 72.266 (73.062)
Epoch: [56][4840/5005] Time 0.213 (0.210) Data 0.044 (0.048) Loss 2.0648 (2.2802) Prec@1 55.078 (47.765) Prec@5 73.438 (73.060)
Epoch: [56][4850/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.3033 (2.2804) Prec@1 50.000 (47.764) Prec@5 72.656 (73.058)
Epoch: [56][4860/5005] Time 0.209 (0.210) Data 0.058 (0.048) Loss 2.2371 (2.2802) Prec@1 47.266 (47.766) Prec@5 72.266 (73.058)
Epoch: [56][4870/5005] Time 0.213 (0.210) Data 0.042 (0.048) Loss 2.2274 (2.2802) Prec@1 47.266 (47.766) Prec@5 73.828 (73.060)
Epoch: [56][4880/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.2046 (2.2802) Prec@1 48.828 (47.769) Prec@5 72.266 (73.061)
Epoch: [56][4890/5005] Time 0.203 (0.210) Data 0.049 (0.048) Loss 2.2696 (2.2801) Prec@1 50.000 (47.771) Prec@5 72.266 (73.062)
Epoch: [56][4900/5005] Time 0.203 (0.210) Data 0.046 (0.048) Loss 2.2448 (2.2800) Prec@1 48.438 (47.771) Prec@5 75.391 (73.064)
Epoch: [56][4910/5005] Time 0.206 (0.210) Data 0.041 (0.048) Loss 2.2812 (2.2798) Prec@1 46.484 (47.775) Prec@5 75.391 (73.068)
Epoch: [56][4920/5005] Time 0.195 (0.210) Data 0.054 (0.048) Loss 2.2347 (2.2798) Prec@1 46.094 (47.774) Prec@5 74.219 (73.069)
Epoch: [56][4930/5005] Time 0.205 (0.210) Data 0.045 (0.048) Loss 2.3648 (2.2797) Prec@1 47.266 (47.775) Prec@5 71.094 (73.072)
Epoch: [56][4940/5005] Time 0.199 (0.210) Data 0.042 (0.047) Loss 2.3461 (2.2797) Prec@1 50.000 (47.777) Prec@5 75.000 (73.072)
Epoch: [56][4950/5005] Time 0.206 (0.210) Data 0.047 (0.047) Loss 1.9795 (2.2797) Prec@1 51.953 (47.777) Prec@5 78.516 (73.073)
Epoch: [56][4960/5005] Time 0.204 (0.210) Data 0.045 (0.047) Loss 2.3397 (2.2796) Prec@1 48.047 (47.780) Prec@5 73.438 (73.072)
Epoch: [56][4970/5005] Time 0.209 (0.210) Data 0.044 (0.047) Loss 2.3019 (2.2795) Prec@1 46.875 (47.782) Prec@5 73.828 (73.073)
Epoch: [56][4980/5005] Time 0.218 (0.210) Data 0.046 (0.047) Loss 2.2552 (2.2794) Prec@1 53.125 (47.785) Prec@5 76.172 (73.077)
Epoch: [56][4990/5005] Time 0.208 (0.210) Data 0.022 (0.047) Loss 2.5123 (2.2794) Prec@1 44.141 (47.785) Prec@5 67.578 (73.075)
Epoch: [56][5000/5005] Time 0.209 (0.210) Data 0.021 (0.047) Loss 2.3735 (2.2794) Prec@1 45.312 (47.786) Prec@5 71.094 (73.076)
Test: [0/196] Time 1.917 (1.917) Loss 2.3823 (2.3823) Prec@1 47.656 (47.656) Prec@5 70.703 (70.703)
Test: [10/196] Time 0.043 (0.294) Loss 2.5686 (2.5770) Prec@1 42.578 (43.111) Prec@5 68.750 (68.288)
Test: [20/196] Time 0.044 (0.245) Loss 2.4561 (2.5869) Prec@1 46.094 (42.801) Prec@5 72.266 (68.955)
Test: [30/196] Time 0.044 (0.209) Loss 2.4552 (2.5873) Prec@1 42.578 (42.780) Prec@5 70.312 (68.599)
Test: [40/196] Time 0.044 (0.212) Loss 2.3160 (2.5823) Prec@1 49.609 (42.893) Prec@5 73.438 (68.588)
Test: [50/196] Time 0.197 (0.204) Loss 2.6764 (2.5818) Prec@1 45.703 (43.007) Prec@5 69.922 (68.781)
Test: [60/196] Time 0.274 (0.196) Loss 2.4599 (2.5640) Prec@1 46.094 (43.449) Prec@5 72.266 (69.077)
Test: [70/196] Time 0.042 (0.189) Loss 2.4592 (2.5588) Prec@1 46.875 (43.535) Prec@5 70.312 (69.080)
Test: [80/196] Time 0.666 (0.190) Loss 2.4105 (2.5638) Prec@1 50.781 (43.605) Prec@5 76.172 (69.083)
Test: [90/196] Time 0.042 (0.185) Loss 2.6483 (2.5664) Prec@1 46.484 (43.711) Prec@5 68.359 (69.042)
Test: [100/196] Time 0.573 (0.187) Loss 2.6117 (2.5627) Prec@1 47.266 (43.874) Prec@5 67.188 (69.040)
Test: [110/196] Time 0.642 (0.188) Loss 2.7259 (2.5640) Prec@1 41.016 (43.975) Prec@5 66.406 (69.024)
Test: [120/196] Time 0.492 (0.184) Loss 2.3643 (2.5598) Prec@1 44.531 (44.041) Prec@5 72.656 (69.063)
Test: [130/196] Time 0.042 (0.183) Loss 2.2743 (2.5562) Prec@1 44.922 (44.087) Prec@5 73.047 (69.099)
Test: [140/196] Time 0.491 (0.186) Loss 2.3737 (2.5575) Prec@1 48.438 (44.094) Prec@5 69.141 (69.030)
Test: [150/196] Time 0.117 (0.183) Loss 2.1975 (2.5557) Prec@1 48.438 (44.138) Prec@5 76.953 (69.104)
Test: [160/196] Time 0.043 (0.184) Loss 2.5373 (2.5549) Prec@1 46.875 (44.182) Prec@5 71.094 (69.143)
Test: [170/196] Time 0.100 (0.182) Loss 2.4381 (2.5569) Prec@1 45.312 (44.198) Prec@5 72.656 (69.102)
Test: [180/196] Time 0.074 (0.181) Loss 2.7531 (2.5614) Prec@1 40.234 (44.134) Prec@5 68.359 (69.003)
Test: [190/196] Time 0.347 (0.181) Loss 2.7468 (2.5649) Prec@1 43.750 (44.081) Prec@5 65.234 (68.905)
* Prec@1 44.090 Prec@5 68.924
Learning rate: 1e-05
Epoch: [57][0/5005] Time 1.345 (1.345) Data 1.227 (1.227) Loss 2.2467 (2.2467) Prec@1 48.047 (48.047) Prec@5 73.047 (73.047)
Epoch: [57][10/5005] Time 0.201 (0.306) Data 0.046 (0.155) Loss 2.2367 (2.2825) Prec@1 51.953 (48.295) Prec@5 75.000 (72.763)
Epoch: [57][20/5005] Time 0.202 (0.256) Data 0.045 (0.103) Loss 2.4170 (2.3173) Prec@1 43.750 (46.912) Prec@5 72.656 (72.824)
Epoch: [57][30/5005] Time 0.198 (0.238) Data 0.047 (0.084) Loss 2.1391 (2.2887) Prec@1 50.000 (47.656) Prec@5 75.781 (73.022)
Epoch: [57][40/5005] Time 0.208 (0.231) Data 0.044 (0.075) Loss 2.1671 (2.2896) Prec@1 48.438 (47.551) Prec@5 73.828 (72.999)
Epoch: [57][50/5005] Time 0.212 (0.226) Data 0.044 (0.069) Loss 2.1779 (2.2889) Prec@1 44.922 (47.342) Prec@5 79.297 (73.062)
Epoch: [57][60/5005] Time 0.215 (0.223) Data 0.043 (0.065) Loss 2.1787 (2.2903) Prec@1 50.391 (47.349) Prec@5 75.000 (73.021)
Epoch: [57][70/5005] Time 0.207 (0.220) Data 0.043 (0.062) Loss 2.3071 (2.2976) Prec@1 46.094 (47.310) Prec@5 71.484 (72.898)
Epoch: [57][80/5005] Time 0.199 (0.217) Data 0.053 (0.061) Loss 2.1779 (2.2944) Prec@1 49.609 (47.275) Prec@5 74.609 (72.907)
Epoch: [57][90/5005] Time 0.201 (0.215) Data 0.051 (0.059) Loss 2.2880 (2.2903) Prec@1 47.266 (47.502) Prec@5 71.875 (72.948)
Epoch: [57][100/5005] Time 0.199 (0.214) Data 0.042 (0.058) Loss 2.1312 (2.2923) Prec@1 50.000 (47.444) Prec@5 75.391 (72.853)
Epoch: [57][110/5005] Time 0.206 (0.213) Data 0.065 (0.058) Loss 2.3513 (2.2934) Prec@1 46.484 (47.487) Prec@5 69.922 (72.853)
Epoch: [57][120/5005] Time 0.202 (0.212) Data 0.057 (0.057) Loss 2.4663 (2.2972) Prec@1 41.797 (47.482) Prec@5 66.797 (72.779)
Epoch: [57][130/5005] Time 0.208 (0.211) Data 0.049 (0.057) Loss 2.3776 (2.2957) Prec@1 46.484 (47.564) Prec@5 71.875 (72.832)
Epoch: [57][140/5005] Time 0.199 (0.210) Data 0.045 (0.056) Loss 2.2897 (2.2945) Prec@1 45.703 (47.612) Prec@5 71.875 (72.839)
Epoch: [57][150/5005] Time 0.199 (0.210) Data 0.044 (0.056) Loss 2.3308 (2.2965) Prec@1 45.312 (47.602) Prec@5 72.656 (72.866)
Epoch: [57][160/5005] Time 0.195 (0.209) Data 0.045 (0.055) Loss 2.2186 (2.2973) Prec@1 49.609 (47.574) Prec@5 71.875 (72.848)
Epoch: [57][170/5005] Time 0.206 (0.209) Data 0.065 (0.055) Loss 2.3483 (2.2974) Prec@1 48.828 (47.636) Prec@5 71.484 (72.839)
Epoch: [57][180/5005] Time 0.227 (0.210) Data 0.040 (0.055) Loss 2.4810 (2.2968) Prec@1 44.141 (47.648) Prec@5 66.797 (72.833)
Epoch: [57][190/5005] Time 0.225 (0.210) Data 0.042 (0.054) Loss 2.4300 (2.3006) Prec@1 42.969 (47.560) Prec@5 72.656 (72.779)
Epoch: [57][200/5005] Time 0.216 (0.211) Data 0.047 (0.054) Loss 2.6451 (2.3032) Prec@1 42.578 (47.450) Prec@5 68.359 (72.751)
Epoch: [57][210/5005] Time 0.219 (0.211) Data 0.054 (0.054) Loss 2.1577 (2.3037) Prec@1 49.609 (47.410) Prec@5 76.562 (72.773)
Epoch: [57][220/5005] Time 0.215 (0.211) Data 0.045 (0.053) Loss 2.3541 (2.3037) Prec@1 46.094 (47.411) Prec@5 73.047 (72.750)
Epoch: [57][230/5005] Time 0.215 (0.212) Data 0.052 (0.053) Loss 2.2960 (2.3037) Prec@1 48.828 (47.443) Prec@5 72.656 (72.754)
Epoch: [57][240/5005] Time 0.215 (0.212) Data 0.066 (0.053) Loss 2.2378 (2.3037) Prec@1 49.609 (47.444) Prec@5 73.828 (72.747)
Epoch: [57][250/5005] Time 0.220 (0.212) Data 0.042 (0.053) Loss 2.3868 (2.3028) Prec@1 44.922 (47.469) Prec@5 71.094 (72.759)
Epoch: [57][260/5005] Time 0.218 (0.212) Data 0.043 (0.053) Loss 2.0544 (2.3026) Prec@1 50.391 (47.501) Prec@5 73.047 (72.751)
Epoch: [57][270/5005] Time 0.207 (0.212) Data 0.045 (0.053) Loss 2.2930 (2.3021) Prec@1 46.094 (47.492) Prec@5 74.219 (72.763)
Epoch: [57][280/5005] Time 0.213 (0.212) Data 0.048 (0.053) Loss 2.6038 (2.3051) Prec@1 40.625 (47.423) Prec@5 66.797 (72.684)
Epoch: [57][290/5005] Time 0.218 (0.212) Data 0.054 (0.053) Loss 2.0566 (2.3049) Prec@1 51.953 (47.401) Prec@5 78.125 (72.697)
Epoch: [57][300/5005] Time 0.210 (0.212) Data 0.052 (0.053) Loss 2.2060 (2.3044) Prec@1 49.219 (47.458) Prec@5 71.875 (72.720)
Epoch: [57][310/5005] Time 0.216 (0.212) Data 0.042 (0.053) Loss 2.1125 (2.3014) Prec@1 49.609 (47.499) Prec@5 75.391 (72.769)
Epoch: [57][320/5005] Time 0.217 (0.212) Data 0.042 (0.052) Loss 2.5130 (2.3031) Prec@1 42.188 (47.490) Prec@5 71.094 (72.766)
Epoch: [57][330/5005] Time 0.209 (0.212) Data 0.040 (0.052) Loss 2.0765 (2.3015) Prec@1 49.219 (47.498) Prec@5 76.562 (72.810)
Epoch: [57][340/5005] Time 0.215 (0.212) Data 0.047 (0.052) Loss 2.3819 (2.3059) Prec@1 43.750 (47.405) Prec@5 73.438 (72.743)
Epoch: [57][350/5005] Time 0.215 (0.212) Data 0.042 (0.052) Loss 2.4136 (2.3039) Prec@1 46.875 (47.414) Prec@5 68.750 (72.753)
Epoch: [57][360/5005] Time 0.220 (0.212) Data 0.047 (0.052) Loss 2.5077 (2.3042) Prec@1 43.359 (47.388) Prec@5 68.359 (72.737)
Epoch: [57][370/5005] Time 0.211 (0.212) Data 0.044 (0.052) Loss 2.2946 (2.3026) Prec@1 47.266 (47.408) Prec@5 74.609 (72.757)
Epoch: [57][380/5005] Time 0.203 (0.212) Data 0.058 (0.052) Loss 2.5210 (2.3032) Prec@1 43.359 (47.387) Prec@5 67.188 (72.736)
Epoch: [57][390/5005] Time 0.209 (0.212) Data 0.051 (0.051) Loss 2.2614 (2.3036) Prec@1 47.266 (47.378) Prec@5 73.047 (72.728)
Epoch: [57][400/5005] Time 0.207 (0.212) Data 0.057 (0.052) Loss 2.1146 (2.3024) Prec@1 48.828 (47.397) Prec@5 76.953 (72.745)
Epoch: [57][410/5005] Time 0.206 (0.212) Data 0.039 (0.051) Loss 2.1120 (2.3016) Prec@1 50.391 (47.399) Prec@5 76.562 (72.774)
Epoch: [57][420/5005] Time 0.201 (0.212) Data 0.050 (0.051) Loss 2.1975 (2.3015) Prec@1 51.953 (47.402) Prec@5 73.828 (72.757)
Epoch: [57][430/5005] Time 0.215 (0.212) Data 0.044 (0.051) Loss 2.2026 (2.3006) Prec@1 55.078 (47.420) Prec@5 71.875 (72.758)
Epoch: [57][440/5005] Time 0.211 (0.212) Data 0.052 (0.051) Loss 2.2600 (2.3006) Prec@1 50.781 (47.395) Prec@5 71.875 (72.771)
Epoch: [57][450/5005] Time 0.214 (0.212) Data 0.041 (0.051) Loss 2.1701 (2.3012) Prec@1 46.875 (47.374) Prec@5 73.047 (72.764)
Epoch: [57][460/5005] Time 0.210 (0.212) Data 0.048 (0.051) Loss 2.2344 (2.3018) Prec@1 46.094 (47.354) Prec@5 73.828 (72.760)
Epoch: [57][470/5005] Time 0.211 (0.212) Data 0.050 (0.051) Loss 2.1808 (2.3030) Prec@1 47.656 (47.344) Prec@5 74.219 (72.723)
Epoch: [57][480/5005] Time 0.209 (0.212) Data 0.042 (0.051) Loss 2.2880 (2.3033) Prec@1 48.438 (47.348) Prec@5 74.219 (72.720)
Epoch: [57][490/5005] Time 0.212 (0.212) Data 0.048 (0.051) Loss 2.2488 (2.3032) Prec@1 49.609 (47.354) Prec@5 75.000 (72.711)
Epoch: [57][500/5005] Time 0.210 (0.212) Data 0.058 (0.051) Loss 2.4343 (2.3052) Prec@1 43.750 (47.324) Prec@5 70.703 (72.670)
Epoch: [57][510/5005] Time 0.214 (0.212) Data 0.046 (0.051) Loss 2.5378 (2.3059) Prec@1 42.969 (47.344) Prec@5 69.141 (72.662)
Epoch: [57][520/5005] Time 0.212 (0.212) Data 0.055 (0.051) Loss 2.3301 (2.3057) Prec@1 46.484 (47.358) Prec@5 72.266 (72.667)
Epoch: [57][530/5005] Time 0.216 (0.212) Data 0.047 (0.051) Loss 2.2171 (2.3052) Prec@1 49.609 (47.372) Prec@5 72.656 (72.675)
Epoch: [57][540/5005] Time 0.208 (0.212) Data 0.044 (0.051) Loss 2.4006 (2.3060) Prec@1 47.656 (47.352) Prec@5 69.922 (72.658)
Epoch: [57][550/5005] Time 0.215 (0.212) Data 0.043 (0.051) Loss 2.2657 (2.3064) Prec@1 44.141 (47.337) Prec@5 74.219 (72.626)
Epoch: [57][560/5005] Time 0.216 (0.212) Data 0.043 (0.051) Loss 2.4621 (2.3060) Prec@1 46.094 (47.335) Prec@5 69.531 (72.632)
Epoch: [57][570/5005] Time 0.213 (0.212) Data 0.044 (0.050) Loss 2.4886 (2.3074) Prec@1 43.750 (47.311) Prec@5 67.578 (72.614)
Epoch: [57][580/5005] Time 0.218 (0.212) Data 0.043 (0.050) Loss 2.2890 (2.3064) Prec@1 48.047 (47.338) Prec@5 73.438 (72.635)
Epoch: [57][590/5005] Time 0.215 (0.212) Data 0.042 (0.050) Loss 2.4452 (2.3063) Prec@1 43.750 (47.332) Prec@5 69.922 (72.642)
Epoch: [57][600/5005] Time 0.213 (0.212) Data 0.042 (0.050) Loss 2.1946 (2.3072) Prec@1 51.172 (47.299) Prec@5 75.391 (72.636)
Epoch: [57][610/5005] Time 0.210 (0.212) Data 0.058 (0.050) Loss 2.2793 (2.3074) Prec@1 46.875 (47.288) Prec@5 70.703 (72.624)
Epoch: [57][620/5005] Time 0.214 (0.212) Data 0.043 (0.050) Loss 2.3126 (2.3074) Prec@1 51.172 (47.319) Prec@5 70.703 (72.617)
Epoch: [57][630/5005] Time 0.210 (0.212) Data 0.047 (0.050) Loss 2.6121 (2.3079) Prec@1 43.750 (47.319) Prec@5 70.703 (72.606)
Epoch: [57][640/5005] Time 0.204 (0.212) Data 0.045 (0.050) Loss 2.2084 (2.3077) Prec@1 46.094 (47.308) Prec@5 72.656 (72.614)
Epoch: [57][650/5005] Time 0.207 (0.212) Data 0.044 (0.050) Loss 2.4144 (2.3083) Prec@1 44.531 (47.294) Prec@5 69.531 (72.597)
Epoch: [57][660/5005] Time 0.209 (0.212) Data 0.046 (0.050) Loss 2.3761 (2.3075) Prec@1 44.922 (47.287) Prec@5 74.219 (72.619)
Epoch: [57][670/5005] Time 0.207 (0.212) Data 0.046 (0.050) Loss 2.5044 (2.3072) Prec@1 44.141 (47.301) Prec@5 68.750 (72.603)
Epoch: [57][680/5005] Time 0.208 (0.212) Data 0.039 (0.050) Loss 2.2241 (2.3067) Prec@1 50.391 (47.312) Prec@5 75.781 (72.607)
Epoch: [57][690/5005] Time 0.206 (0.212) Data 0.058 (0.050) Loss 2.1756 (2.3060) Prec@1 48.047 (47.310) Prec@5 78.125 (72.612)
Epoch: [57][700/5005] Time 0.206 (0.212) Data 0.058 (0.050) Loss 2.3206 (2.3059) Prec@1 44.141 (47.308) Prec@5 70.703 (72.610)
Epoch: [57][710/5005] Time 0.221 (0.212) Data 0.042 (0.050) Loss 2.2441 (2.3056) Prec@1 45.703 (47.307) Prec@5 73.047 (72.609)
Epoch: [57][720/5005] Time 0.200 (0.212) Data 0.053 (0.050) Loss 2.2395 (2.3054) Prec@1 51.953 (47.315) Prec@5 73.047 (72.604)
Epoch: [57][730/5005] Time 0.211 (0.212) Data 0.047 (0.050) Loss 2.3434 (2.3048) Prec@1 46.094 (47.328) Prec@5 73.828 (72.616)
Epoch: [57][740/5005] Time 0.213 (0.212) Data 0.046 (0.050) Loss 2.4119 (2.3049) Prec@1 46.094 (47.330) Prec@5 68.750 (72.598)
Epoch: [57][750/5005] Time 0.213 (0.212) Data 0.044 (0.050) Loss 2.1106 (2.3045) Prec@1 49.219 (47.345) Prec@5 77.344 (72.614)
Epoch: [57][760/5005] Time 0.217 (0.212) Data 0.042 (0.050) Loss 2.3433 (2.3042) Prec@1 47.266 (47.359) Prec@5 73.438 (72.619)
Epoch: [57][770/5005] Time 0.212 (0.212) Data 0.057 (0.050) Loss 2.2820 (2.3029) Prec@1 49.609 (47.388) Prec@5 71.484 (72.642)
Epoch: [57][780/5005] Time 0.209 (0.212) Data 0.063 (0.050) Loss 2.3122 (2.3026) Prec@1 48.047 (47.386) Prec@5 70.703 (72.647)
Epoch: [57][790/5005] Time 0.204 (0.212) Data 0.047 (0.050) Loss 2.3003 (2.3019) Prec@1 42.578 (47.382) Prec@5 73.047 (72.668)
Epoch: [57][800/5005] Time 0.202 (0.212) Data 0.050 (0.050) Loss 2.1976 (2.3012) Prec@1 48.828 (47.396) Prec@5 76.172 (72.677)
Epoch: [57][810/5005] Time 0.204 (0.212) Data 0.052 (0.050) Loss 2.3539 (2.3015) Prec@1 46.094 (47.399) Prec@5 74.609 (72.683)
Epoch: [57][820/5005] Time 0.212 (0.212) Data 0.059 (0.050) Loss 2.4142 (2.3017) Prec@1 48.438 (47.394) Prec@5 71.094 (72.689)
Epoch: [57][830/5005] Time 0.206 (0.212) Data 0.055 (0.050) Loss 2.2732 (2.3017) Prec@1 45.703 (47.393) Prec@5 71.875 (72.679)
Epoch: [57][840/5005] Time 0.216 (0.212) Data 0.043 (0.050) Loss 2.3235 (2.3018) Prec@1 48.828 (47.394) Prec@5 74.219 (72.680)
Epoch: [57][850/5005] Time 0.215 (0.212) Data 0.043 (0.050) Loss 2.5048 (2.3018) Prec@1 46.484 (47.390) Prec@5 69.922 (72.685)
Epoch: [57][860/5005] Time 0.205 (0.212) Data 0.056 (0.050) Loss 2.3445 (2.3022) Prec@1 50.000 (47.387) Prec@5 68.750 (72.673)
Epoch: [57][870/5005] Time 0.208 (0.212) Data 0.041 (0.050) Loss 2.2800 (2.3010) Prec@1 45.703 (47.401) Prec@5 73.828 (72.689)
Epoch: [57][880/5005] Time 0.206 (0.212) Data 0.047 (0.050) Loss 2.3164 (2.3016) Prec@1 48.438 (47.389) Prec@5 73.047 (72.690)
Epoch: [57][890/5005] Time 0.209 (0.212) Data 0.046 (0.050) Loss 2.6449 (2.3012) Prec@1 40.234 (47.391) Prec@5 64.844 (72.695)
Epoch: [57][900/5005] Time 0.215 (0.212) Data 0.042 (0.050) Loss 2.2626 (2.3010) Prec@1 47.656 (47.385) Prec@5 73.438 (72.701)
Epoch: [57][910/5005] Time 0.210 (0.212) Data 0.042 (0.050) Loss 2.1813 (2.3010) Prec@1 49.219 (47.377) Prec@5 77.734 (72.703)
Epoch: [57][920/5005] Time 0.214 (0.212) Data 0.046 (0.050) Loss 2.3170 (2.3005) Prec@1 44.922 (47.377) Prec@5 71.875 (72.714)
Epoch: [57][930/5005] Time 0.213 (0.212) Data 0.044 (0.050) Loss 2.3159 (2.3001) Prec@1 48.438 (47.380) Prec@5 70.703 (72.716)
Epoch: [57][940/5005] Time 0.215 (0.212) Data 0.043 (0.050) Loss 2.0772 (2.2999) Prec@1 50.000 (47.378) Prec@5 75.391 (72.726)
Epoch: [57][950/5005] Time 0.204 (0.212) Data 0.059 (0.050) Loss 2.3658 (2.3005) Prec@1 49.219 (47.384) Prec@5 73.828 (72.725)
Epoch: [57][960/5005] Time 0.210 (0.212) Data 0.043 (0.050) Loss 2.4696 (2.3007) Prec@1 47.266 (47.388) Prec@5 67.969 (72.713)
Epoch: [57][970/5005] Time 0.214 (0.212) Data 0.049 (0.050) Loss 2.1551 (2.3008) Prec@1 47.656 (47.381) Prec@5 74.219 (72.717)
Epoch: [57][980/5005] Time 0.204 (0.212) Data 0.050 (0.050) Loss 2.3008 (2.3002) Prec@1 46.484 (47.385) Prec@5 71.484 (72.723)
Epoch: [57][990/5005] Time 0.209 (0.212) Data 0.042 (0.050) Loss 2.3830 (2.3005) Prec@1 43.359 (47.379) Prec@5 71.484 (72.715)
Epoch: [57][1000/5005] Time 0.213 (0.212) Data 0.046 (0.050) Loss 2.2671 (2.3002) Prec@1 48.047 (47.384) Prec@5 75.000 (72.718)
Epoch: [57][1010/5005] Time 0.214 (0.212) Data 0.044 (0.050) Loss 2.2207 (2.2996) Prec@1 47.656 (47.393) Prec@5 75.391 (72.728)
Epoch: [57][1020/5005] Time 0.209 (0.212) Data 0.043 (0.049) Loss 2.1551 (2.2998) Prec@1 48.438 (47.390) Prec@5 76.172 (72.719)
Epoch: [57][1030/5005] Time 0.214 (0.212) Data 0.044 (0.049) Loss 2.0452 (2.2994) Prec@1 54.688 (47.399) Prec@5 78.906 (72.728)
Epoch: [57][1040/5005] Time 0.193 (0.213) Data 0.040 (0.049) Loss 2.3812 (2.2997) Prec@1 45.312 (47.395) Prec@5 71.875 (72.721)
Epoch: [57][1050/5005] Time 0.193 (0.213) Data 0.046 (0.049) Loss 2.3687 (2.2999) Prec@1 46.484 (47.385) Prec@5 72.656 (72.720)
Epoch: [57][1060/5005] Time 0.204 (0.213) Data 0.042 (0.049) Loss 2.4754 (2.3002) Prec@1 45.703 (47.384) Prec@5 69.531 (72.717)
Epoch: [57][1070/5005] Time 0.212 (0.213) Data 0.042 (0.049) Loss 2.4622 (2.3005) Prec@1 44.531 (47.377) Prec@5 74.219 (72.711)
Epoch: [57][1080/5005] Time 0.208 (0.213) Data 0.040 (0.049) Loss 2.2995 (2.3002) Prec@1 46.094 (47.376) Prec@5 76.562 (72.730)
Epoch: [57][1090/5005] Time 0.206 (0.213) Data 0.055 (0.049) Loss 2.1298 (2.2999) Prec@1 51.953 (47.387) Prec@5 76.172 (72.731)
Epoch: [57][1100/5005] Time 0.218 (0.213) Data 0.043 (0.049) Loss 2.3099 (2.2997) Prec@1 46.094 (47.391) Prec@5 70.312 (72.730)
Epoch: [57][1110/5005] Time 0.205 (0.213) Data 0.044 (0.049) Loss 2.3401 (2.2994) Prec@1 48.047 (47.390) Prec@5 72.266 (72.747)
Epoch: [57][1120/5005] Time 0.216 (0.213) Data 0.045 (0.049) Loss 2.2899 (2.2987) Prec@1 51.172 (47.400) Prec@5 69.922 (72.757)
Epoch: [57][1130/5005] Time 0.207 (0.213) Data 0.045 (0.049) Loss 2.2907 (2.2990) Prec@1 45.703 (47.401) Prec@5 75.391 (72.755)
Epoch: [57][1140/5005] Time 0.221 (0.213) Data 0.048 (0.049) Loss 2.3969 (2.2987) Prec@1 46.875 (47.398) Prec@5 70.703 (72.763)
Epoch: [57][1150/5005] Time 0.221 (0.213) Data 0.046 (0.049) Loss 2.3197 (2.2984) Prec@1 48.828 (47.413) Prec@5 69.141 (72.766)
Epoch: [57][1160/5005] Time 0.208 (0.213) Data 0.043 (0.049) Loss 2.3386 (2.2984) Prec@1 47.656 (47.421) Prec@5 71.094 (72.756)
Epoch: [57][1170/5005] Time 0.204 (0.212) Data 0.042 (0.049) Loss 2.2065 (2.2983) Prec@1 48.047 (47.431) Prec@5 73.828 (72.759)
Epoch: [57][1180/5005] Time 0.208 (0.212) Data 0.058 (0.049) Loss 2.3140 (2.2983) Prec@1 47.656 (47.421) Prec@5 71.484 (72.765)
Epoch: [57][1190/5005] Time 0.212 (0.212) Data 0.050 (0.049) Loss 2.1812 (2.2979) Prec@1 46.875 (47.429) Prec@5 73.438 (72.765)
Epoch: [57][1200/5005] Time 0.212 (0.212) Data 0.043 (0.049) Loss 2.3436 (2.2982) Prec@1 47.266 (47.425) Prec@5 72.656 (72.756)
Epoch: [57][1210/5005] Time 0.205 (0.212) Data 0.052 (0.049) Loss 2.2433 (2.2992) Prec@1 46.484 (47.402) Prec@5 73.438 (72.746)
Epoch: [57][1220/5005] Time 0.214 (0.212) Data 0.044 (0.049) Loss 2.3447 (2.2994) Prec@1 47.266 (47.398) Prec@5 74.219 (72.742)
Epoch: [57][1230/5005] Time 0.215 (0.212) Data 0.042 (0.049) Loss 2.3022 (2.2995) Prec@1 50.391 (47.396) Prec@5 74.219 (72.737)
Epoch: [57][1240/5005] Time 0.207 (0.212) Data 0.046 (0.049) Loss 2.2331 (2.2996) Prec@1 50.781 (47.399) Prec@5 74.219 (72.723)
Epoch: [57][1250/5005] Time 0.207 (0.212) Data 0.053 (0.049) Loss 2.5067 (2.2997) Prec@1 44.531 (47.398) Prec@5 69.531 (72.721)
Epoch: [57][1260/5005] Time 0.212 (0.212) Data 0.044 (0.049) Loss 2.0084 (2.2992) Prec@1 54.297 (47.407) Prec@5 78.125 (72.730)
Epoch: [57][1270/5005] Time 0.210 (0.212) Data 0.046 (0.049) Loss 2.5225 (2.2998) Prec@1 43.750 (47.406) Prec@5 69.922 (72.722)
Epoch: [57][1280/5005] Time 0.215 (0.212) Data 0.046 (0.049) Loss 2.2794 (2.3000) Prec@1 53.516 (47.412) Prec@5 72.656 (72.720)
Epoch: [57][1290/5005] Time 0.215 (0.212) Data 0.046 (0.049) Loss 2.0867 (2.2995) Prec@1 54.297 (47.421) Prec@5 76.562 (72.723)
Epoch: [57][1300/5005] Time 0.211 (0.212) Data 0.043 (0.049) Loss 2.2148 (2.2991) Prec@1 53.516 (47.437) Prec@5 74.219 (72.736)
Epoch: [57][1310/5005] Time 0.210 (0.212) Data 0.041 (0.049) Loss 2.2392 (2.2987) Prec@1 50.391 (47.444) Prec@5 73.438 (72.748)
Epoch: [57][1320/5005] Time 0.215 (0.212) Data 0.042 (0.049) Loss 2.3670 (2.2986) Prec@1 45.703 (47.451) Prec@5 73.828 (72.746)
Epoch: [57][1330/5005] Time 0.209 (0.212) Data 0.042 (0.049) Loss 2.4206 (2.2991) Prec@1 44.922 (47.445) Prec@5 71.094 (72.740)
Epoch: [57][1340/5005] Time 0.212 (0.212) Data 0.043 (0.049) Loss 2.2227 (2.2989) Prec@1 46.875 (47.439) Prec@5 73.828 (72.742)
Epoch: [57][1350/5005] Time 0.207 (0.212) Data 0.045 (0.049) Loss 2.6852 (2.2991) Prec@1 41.797 (47.435) Prec@5 67.188 (72.740)
Epoch: [57][1360/5005] Time 0.215 (0.212) Data 0.043 (0.049) Loss 2.1419 (2.2990) Prec@1 48.047 (47.435) Prec@5 75.391 (72.741)
Epoch: [57][1370/5005] Time 0.199 (0.212) Data 0.041 (0.049) Loss 2.2687 (2.2985) Prec@1 49.219 (47.440) Prec@5 73.047 (72.745)
Epoch: [57][1380/5005] Time 0.217 (0.212) Data 0.044 (0.049) Loss 2.2094 (2.2981) Prec@1 50.781 (47.438) Prec@5 76.562 (72.753)
Epoch: [57][1390/5005] Time 0.212 (0.212) Data 0.047 (0.049) Loss 2.1482 (2.2981) Prec@1 50.391 (47.439) Prec@5 76.172 (72.753)
Epoch: [57][1400/5005] Time 0.216 (0.212) Data 0.046 (0.049) Loss 2.3261 (2.2972) Prec@1 45.703 (47.452) Prec@5 73.047 (72.766)
Epoch: [57][1410/5005] Time 0.211 (0.212) Data 0.046 (0.049) Loss 2.2725 (2.2970) Prec@1 48.047 (47.456) Prec@5 74.219 (72.768)
Epoch: [57][1420/5005] Time 0.213 (0.212) Data 0.041 (0.049) Loss 2.5688 (2.2972) Prec@1 43.359 (47.450) Prec@5 66.797 (72.768)
Epoch: [57][1430/5005] Time 0.205 (0.212) Data 0.040 (0.049) Loss 1.9942 (2.2967) Prec@1 50.391 (47.458) Prec@5 77.344 (72.783)
Epoch: [57][1440/5005] Time 0.211 (0.212) Data 0.041 (0.049) Loss 2.0296 (2.2965) Prec@1 49.609 (47.461) Prec@5 80.469 (72.787)
Epoch: [57][1450/5005] Time 0.211 (0.212) Data 0.046 (0.049) Loss 2.2370 (2.2963) Prec@1 49.609 (47.459) Prec@5 72.266 (72.790)
Epoch: [57][1460/5005] Time 0.211 (0.212) Data 0.039 (0.049) Loss 2.2413 (2.2960) Prec@1 46.094 (47.470) Prec@5 71.484 (72.788)
Epoch: [57][1470/5005] Time 0.205 (0.212) Data 0.046 (0.049) Loss 2.4187 (2.2960) Prec@1 45.312 (47.471) Prec@5 71.484 (72.789)
Epoch: [57][1480/5005] Time 0.201 (0.212) Data 0.056 (0.049) Loss 2.1347 (2.2960) Prec@1 47.656 (47.467) Prec@5 78.125 (72.792)
Epoch: [57][1490/5005] Time 0.201 (0.212) Data 0.046 (0.049) Loss 2.4820 (2.2958) Prec@1 44.531 (47.477) Prec@5 70.703 (72.797)
Epoch: [57][1500/5005] Time 0.208 (0.212) Data 0.042 (0.049) Loss 2.4351 (2.2957) Prec@1 44.531 (47.479) Prec@5 70.703 (72.797)
Epoch: [57][1510/5005] Time 0.220 (0.212) Data 0.049 (0.049) Loss 2.1297 (2.2954) Prec@1 49.609 (47.483) Prec@5 76.562 (72.804)
Epoch: [57][1520/5005] Time 0.211 (0.212) Data 0.044 (0.049) Loss 2.2999 (2.2951) Prec@1 47.266 (47.483) Prec@5 74.609 (72.810)
Epoch: [57][1530/5005] Time 0.210 (0.212) Data 0.046 (0.049) Loss 2.4663 (2.2951) Prec@1 45.312 (47.479) Prec@5 71.484 (72.808)
Epoch: [57][1540/5005] Time 0.212 (0.212) Data 0.057 (0.049) Loss 2.4008 (2.2952) Prec@1 47.266 (47.481) Prec@5 68.750 (72.802)
Epoch: [57][1550/5005] Time 0.209 (0.212) Data 0.042 (0.049) Loss 2.1571 (2.2946) Prec@1 50.000 (47.486) Prec@5 77.344 (72.812)
Epoch: [57][1560/5005] Time 0.203 (0.212) Data 0.056 (0.049) Loss 2.2076 (2.2947) Prec@1 49.609 (47.493) Prec@5 71.094 (72.810)
Epoch: [57][1570/5005] Time 0.203 (0.212) Data 0.044 (0.049) Loss 2.1596 (2.2945) Prec@1 49.219 (47.499) Prec@5 75.391 (72.816)
Epoch: [57][1580/5005] Time 0.200 (0.212) Data 0.062 (0.049) Loss 2.1959 (2.2947) Prec@1 49.609 (47.489) Prec@5 75.781 (72.811)
Epoch: [57][1590/5005] Time 0.212 (0.212) Data 0.045 (0.049) Loss 2.2971 (2.2946) Prec@1 47.656 (47.484) Prec@5 71.094 (72.814)
Epoch: [57][1600/5005] Time 0.220 (0.212) Data 0.045 (0.049) Loss 2.3023 (2.2947) Prec@1 46.875 (47.486) Prec@5 69.531 (72.814)
Epoch: [57][1610/5005] Time 0.207 (0.212) Data 0.045 (0.049) Loss 2.4192 (2.2946) Prec@1 47.266 (47.492) Prec@5 68.750 (72.811)
Epoch: [57][1620/5005] Time 0.208 (0.212) Data 0.047 (0.049) Loss 2.4723 (2.2942) Prec@1 45.312 (47.496) Prec@5 69.922 (72.821)
Epoch: [57][1630/5005] Time 0.206 (0.212) Data 0.047 (0.049) Loss 2.1617 (2.2941) Prec@1 47.656 (47.496) Prec@5 74.609 (72.819)
Epoch: [57][1640/5005] Time 0.205 (0.212) Data 0.042 (0.049) Loss 2.3514 (2.2943) Prec@1 48.438 (47.493) Prec@5 72.656 (72.814)
Epoch: [57][1650/5005] Time 0.216 (0.212) Data 0.045 (0.049) Loss 2.3931 (2.2942) Prec@1 43.750 (47.491) Prec@5 71.094 (72.815)
Epoch: [57][1660/5005] Time 0.207 (0.212) Data 0.044 (0.049) Loss 2.2238 (2.2938) Prec@1 47.656 (47.502) Prec@5 75.781 (72.821)
Epoch: [57][1670/5005] Time 0.209 (0.212) Data 0.041 (0.049) Loss 2.1894 (2.2938) Prec@1 46.094 (47.499) Prec@5 73.438 (72.825)
Epoch: [57][1680/5005] Time 0.208 (0.212) Data 0.045 (0.049) Loss 2.3759 (2.2941) Prec@1 50.781 (47.500) Prec@5 69.922 (72.817)
Epoch: [57][1690/5005] Time 0.208 (0.212) Data 0.044 (0.049) Loss 2.1130 (2.2938) Prec@1 53.125 (47.505) Prec@5 75.391 (72.824)
Epoch: [57][1700/5005] Time 0.208 (0.212) Data 0.041 (0.048) Loss 2.2427 (2.2933) Prec@1 50.391 (47.512) Prec@5 74.219 (72.833)
Epoch: [57][1710/5005] Time 0.205 (0.212) Data 0.051 (0.048) Loss 2.2374 (2.2927) Prec@1 47.656 (47.521) Prec@5 73.828 (72.844)
Epoch: [57][1720/5005] Time 0.210 (0.212) Data 0.042 (0.048) Loss 2.4042 (2.2928) Prec@1 48.828 (47.521) Prec@5 68.359 (72.844)
Epoch: [57][1730/5005] Time 0.207 (0.212) Data 0.041 (0.048) Loss 2.3010 (2.2927) Prec@1 48.438 (47.519) Prec@5 71.484 (72.845)
Epoch: [57][1740/5005] Time 0.212 (0.212) Data 0.043 (0.048) Loss 2.4834 (2.2926) Prec@1 41.797 (47.520) Prec@5 68.359 (72.847)
Epoch: [57][1750/5005] Time 0.208 (0.212) Data 0.046 (0.048) Loss 2.2878 (2.2923) Prec@1 45.312 (47.526) Prec@5 72.656 (72.855)
Epoch: [57][1760/5005] Time 0.221 (0.212) Data 0.047 (0.048) Loss 2.0514 (2.2921) Prec@1 54.297 (47.533) Prec@5 77.734 (72.860)
Epoch: [57][1770/5005] Time 0.210 (0.212) Data 0.045 (0.048) Loss 2.3332 (2.2921) Prec@1 49.219 (47.536) Prec@5 75.391 (72.863)
Epoch: [57][1780/5005] Time 0.204 (0.212) Data 0.046 (0.048) Loss 2.1811 (2.2920) Prec@1 49.609 (47.540) Prec@5 75.000 (72.861)
Epoch: [57][1790/5005] Time 0.202 (0.211) Data 0.042 (0.048) Loss 2.1053 (2.2918) Prec@1 48.438 (47.542) Prec@5 74.609 (72.860)
Epoch: [57][1800/5005] Time 0.205 (0.211) Data 0.040 (0.048) Loss 2.1880 (2.2914) Prec@1 50.391 (47.552) Prec@5 73.828 (72.867)
Epoch: [57][1810/5005] Time 0.212 (0.211) Data 0.045 (0.048) Loss 2.2026 (2.2913) Prec@1 50.391 (47.559) Prec@5 76.562 (72.867)
Epoch: [57][1820/5005] Time 0.213 (0.211) Data 0.045 (0.048) Loss 2.3224 (2.2912) Prec@1 44.531 (47.560) Prec@5 73.828 (72.868)
Epoch: [57][1830/5005] Time 0.211 (0.211) Data 0.041 (0.048) Loss 1.9648 (2.2907) Prec@1 55.859 (47.571) Prec@5 79.297 (72.871)
Epoch: [57][1840/5005] Time 0.219 (0.211) Data 0.043 (0.048) Loss 2.3324 (2.2904) Prec@1 47.266 (47.582) Prec@5 70.312 (72.880)
Epoch: [57][1850/5005] Time 0.211 (0.211) Data 0.042 (0.048) Loss 2.1674 (2.2899) Prec@1 49.219 (47.592) Prec@5 75.000 (72.886)
Epoch: [57][1860/5005] Time 0.209 (0.211) Data 0.048 (0.048) Loss 2.3161 (2.2901) Prec@1 47.266 (47.590) Prec@5 73.047 (72.886)
Epoch: [57][1870/5005] Time 0.210 (0.211) Data 0.046 (0.048) Loss 2.5244 (2.2906) Prec@1 41.016 (47.575) Prec@5 69.141 (72.882)
Epoch: [57][1880/5005] Time 0.210 (0.211) Data 0.044 (0.048) Loss 2.3088 (2.2907) Prec@1 44.141 (47.570) Prec@5 74.219 (72.883)
Epoch: [57][1890/5005] Time 0.212 (0.211) Data 0.044 (0.048) Loss 2.3489 (2.2906) Prec@1 48.438 (47.569) Prec@5 71.094 (72.881)
Epoch: [57][1900/5005] Time 0.206 (0.211) Data 0.042 (0.048) Loss 2.2713 (2.2910) Prec@1 45.703 (47.559) Prec@5 75.000 (72.875)
Epoch: [57][1910/5005] Time 0.216 (0.211) Data 0.045 (0.048) Loss 2.1854 (2.2909) Prec@1 51.562 (47.561) Prec@5 75.391 (72.878)
Epoch: [57][1920/5005] Time 0.206 (0.211) Data 0.042 (0.048) Loss 2.1163 (2.2906) Prec@1 49.219 (47.561) Prec@5 75.391 (72.882)
Epoch: [57][1930/5005] Time 0.206 (0.211) Data 0.045 (0.048) Loss 2.0458 (2.2903) Prec@1 51.953 (47.571) Prec@5 77.344 (72.889)
Epoch: [57][1940/5005] Time 0.210 (0.211) Data 0.044 (0.048) Loss 1.9804 (2.2898) Prec@1 51.562 (47.576) Prec@5 78.125 (72.899)
Epoch: [57][1950/5005] Time 0.216 (0.211) Data 0.043 (0.048) Loss 2.3384 (2.2899) Prec@1 44.922 (47.573) Prec@5 73.438 (72.900)
Epoch: [57][1960/5005] Time 0.207 (0.211) Data 0.045 (0.048) Loss 2.2892 (2.2896) Prec@1 49.219 (47.586) Prec@5 74.609 (72.906)
Epoch: [57][1970/5005] Time 0.196 (0.211) Data 0.047 (0.048) Loss 2.2820 (2.2897) Prec@1 47.266 (47.579) Prec@5 74.219 (72.906)
Epoch: [57][1980/5005] Time 0.205 (0.211) Data 0.050 (0.048) Loss 2.0732 (2.2897) Prec@1 54.297 (47.584) Prec@5 75.000 (72.908)
Epoch: [57][1990/5005] Time 0.206 (0.211) Data 0.051 (0.048) Loss 2.1027 (2.2895) Prec@1 51.172 (47.597) Prec@5 78.516 (72.912)
Epoch: [57][2000/5005] Time 0.213 (0.211) Data 0.045 (0.048) Loss 2.2107 (2.2896) Prec@1 51.953 (47.592) Prec@5 72.656 (72.912)
Epoch: [57][2010/5005] Time 0.203 (0.211) Data 0.052 (0.048) Loss 2.2358 (2.2897) Prec@1 49.609 (47.589) Prec@5 73.438 (72.910)
Epoch: [57][2020/5005] Time 0.204 (0.211) Data 0.060 (0.048) Loss 2.2555 (2.2897) Prec@1 50.391 (47.592) Prec@5 71.094 (72.906)
Epoch: [57][2030/5005] Time 0.201 (0.211) Data 0.054 (0.048) Loss 2.2374 (2.2898) Prec@1 43.359 (47.591) Prec@5 75.391 (72.902)
Epoch: [57][2040/5005] Time 0.205 (0.211) Data 0.048 (0.048) Loss 2.0764 (2.2896) Prec@1 51.562 (47.596) Prec@5 75.781 (72.908)
Epoch: [57][2050/5005] Time 0.205 (0.211) Data 0.044 (0.048) Loss 2.4407 (2.2896) Prec@1 47.656 (47.595) Prec@5 71.484 (72.908)
Epoch: [57][2060/5005] Time 0.210 (0.211) Data 0.044 (0.048) Loss 2.1598 (2.2893) Prec@1 50.000 (47.597) Prec@5 76.953 (72.910)
Epoch: [57][2070/5005] Time 0.208 (0.211) Data 0.040 (0.048) Loss 2.5838 (2.2894) Prec@1 43.750 (47.596) Prec@5 65.625 (72.904)
Epoch: [57][2080/5005] Time 0.205 (0.211) Data 0.048 (0.048) Loss 2.3608 (2.2894) Prec@1 48.047 (47.598) Prec@5 70.312 (72.902)
Epoch: [57][2090/5005] Time 0.206 (0.211) Data 0.045 (0.048) Loss 2.1659 (2.2889) Prec@1 48.828 (47.608) Prec@5 75.000 (72.907)
Epoch: [57][2100/5005] Time 0.210 (0.211) Data 0.045 (0.048) Loss 2.2865 (2.2886) Prec@1 46.094 (47.616) Prec@5 70.312 (72.905)
Epoch: [57][2110/5005] Time 0.211 (0.211) Data 0.044 (0.048) Loss 2.1837 (2.2888) Prec@1 50.781 (47.621) Prec@5 75.000 (72.903)
Epoch: [57][2120/5005] Time 0.205 (0.211) Data 0.044 (0.048) Loss 2.3583 (2.2888) Prec@1 44.531 (47.614) Prec@5 70.312 (72.902)
Epoch: [57][2130/5005] Time 0.211 (0.211) Data 0.041 (0.048) Loss 2.2847 (2.2883) Prec@1 52.734 (47.628) Prec@5 71.875 (72.913)
Epoch: [57][2140/5005] Time 0.213 (0.211) Data 0.047 (0.048) Loss 2.1697 (2.2883) Prec@1 51.172 (47.631) Prec@5 75.000 (72.913)
Epoch: [57][2150/5005] Time 0.209 (0.211) Data 0.043 (0.048) Loss 2.1701 (2.2882) Prec@1 50.391 (47.636) Prec@5 75.000 (72.911)
Epoch: [57][2160/5005] Time 0.211 (0.211) Data 0.043 (0.048) Loss 2.2929 (2.2882) Prec@1 47.656 (47.633) Prec@5 72.656 (72.915)
Epoch: [57][2170/5005] Time 0.207 (0.211) Data 0.063 (0.048) Loss 2.1409 (2.2877) Prec@1 51.172 (47.642) Prec@5 76.953 (72.926)
Epoch: [57][2180/5005] Time 0.213 (0.211) Data 0.043 (0.048) Loss 2.3426 (2.2878) Prec@1 50.391 (47.643) Prec@5 69.922 (72.930)
Epoch: [57][2190/5005] Time 0.205 (0.211) Data 0.041 (0.048) Loss 2.6032 (2.2881) Prec@1 44.531 (47.639) Prec@5 65.234 (72.927)
Epoch: [57][2200/5005] Time 0.213 (0.211) Data 0.041 (0.048) Loss 2.2359 (2.2882) Prec@1 48.438 (47.632) Prec@5 75.781 (72.928)
Epoch: [57][2210/5005] Time 0.210 (0.211) Data 0.043 (0.048) Loss 2.3686 (2.2884) Prec@1 44.531 (47.628) Prec@5 67.969 (72.922)
Epoch: [57][2220/5005] Time 0.209 (0.211) Data 0.045 (0.048) Loss 2.4586 (2.2883) Prec@1 47.656 (47.629) Prec@5 69.922 (72.924)
Epoch: [57][2230/5005] Time 0.207 (0.211) Data 0.042 (0.048) Loss 2.2774 (2.2882) Prec@1 49.609 (47.630) Prec@5 73.828 (72.924)
Epoch: [57][2240/5005] Time 0.210 (0.211) Data 0.042 (0.048) Loss 2.3472 (2.2882) Prec@1 46.875 (47.626) Prec@5 73.047 (72.925)
Epoch: [57][2250/5005] Time 0.200 (0.211) Data 0.044 (0.048) Loss 2.1092 (2.2882) Prec@1 49.609 (47.626) Prec@5 74.219 (72.926)
Epoch: [57][2260/5005] Time 0.209 (0.211) Data 0.047 (0.048) Loss 2.1573 (2.2878) Prec@1 48.047 (47.632) Prec@5 73.438 (72.932)
Epoch: [57][2270/5005] Time 0.206 (0.211) Data 0.063 (0.048) Loss 2.4045 (2.2875) Prec@1 42.578 (47.640) Prec@5 71.484 (72.939)
Epoch: [57][2280/5005] Time 0.205 (0.211) Data 0.043 (0.048) Loss 2.2345 (2.2874) Prec@1 53.516 (47.643) Prec@5 73.438 (72.943)
Epoch: [57][2290/5005] Time 0.208 (0.211) Data 0.051 (0.048) Loss 2.2504 (2.2873) Prec@1 48.828 (47.646) Prec@5 75.000 (72.942)
Epoch: [57][2300/5005] Time 0.203 (0.211) Data 0.053 (0.048) Loss 2.1778 (2.2871) Prec@1 47.266 (47.648) Prec@5 74.609 (72.943)
Epoch: [57][2310/5005] Time 0.210 (0.211) Data 0.063 (0.048) Loss 2.1221 (2.2870) Prec@1 50.781 (47.655) Prec@5 74.609 (72.945)
Epoch: [57][2320/5005] Time 0.207 (0.211) Data 0.045 (0.048) Loss 2.2464 (2.2869) Prec@1 48.828 (47.655) Prec@5 75.000 (72.946)
Epoch: [57][2330/5005] Time 0.205 (0.211) Data 0.046 (0.048) Loss 2.2106 (2.2867) Prec@1 51.562 (47.656) Prec@5 75.781 (72.952)
Epoch: [57][2340/5005] Time 0.206 (0.211) Data 0.056 (0.048) Loss 2.3186 (2.2864) Prec@1 47.266 (47.661) Prec@5 72.656 (72.957)
Epoch: [57][2350/5005] Time 0.210 (0.211) Data 0.043 (0.048) Loss 2.1725 (2.2863) Prec@1 48.047 (47.666) Prec@5 73.438 (72.957)
Epoch: [57][2360/5005] Time 0.203 (0.211) Data 0.042 (0.048) Loss 2.2081 (2.2863) Prec@1 48.828 (47.665) Prec@5 75.000 (72.959)
Epoch: [57][2370/5005] Time 0.206 (0.211) Data 0.046 (0.048) Loss 2.2516 (2.2863) Prec@1 46.484 (47.664) Prec@5 72.656 (72.958)
Epoch: [57][2380/5005] Time 0.206 (0.211) Data 0.057 (0.048) Loss 2.3698 (2.2863) Prec@1 48.828 (47.669) Prec@5 69.922 (72.958)
Epoch: [57][2390/5005] Time 0.191 (0.211) Data 0.062 (0.048) Loss 2.3040 (2.2861) Prec@1 45.312 (47.670) Prec@5 72.266 (72.962)
Epoch: [57][2400/5005] Time 0.212 (0.211) Data 0.041 (0.048) Loss 2.2940 (2.2861) Prec@1 44.531 (47.668) Prec@5 73.438 (72.963)
Epoch: [57][2410/5005] Time 0.217 (0.211) Data 0.053 (0.048) Loss 2.5439 (2.2862) Prec@1 43.359 (47.667) Prec@5 66.406 (72.957)
Epoch: [57][2420/5005] Time 0.208 (0.211) Data 0.050 (0.048) Loss 2.2661 (2.2860) Prec@1 49.609 (47.671) Prec@5 71.875 (72.961)
Epoch: [57][2430/5005] Time 0.198 (0.211) Data 0.052 (0.048) Loss 2.1538 (2.2862) Prec@1 49.219 (47.667) Prec@5 73.047 (72.956)
Epoch: [57][2440/5005] Time 0.198 (0.211) Data 0.048 (0.048) Loss 2.0474 (2.2861) Prec@1 56.250 (47.670) Prec@5 75.000 (72.959)
Epoch: [57][2450/5005] Time 0.204 (0.211) Data 0.044 (0.048) Loss 2.2336 (2.2860) Prec@1 47.656 (47.670) Prec@5 72.656 (72.961)
Epoch: [57][2460/5005] Time 0.214 (0.211) Data 0.043 (0.048) Loss 2.1965 (2.2858) Prec@1 50.391 (47.673) Prec@5 74.609 (72.964)
Epoch: [57][2470/5005] Time 0.202 (0.211) Data 0.047 (0.048) Loss 2.1819 (2.2855) Prec@1 48.828 (47.677) Prec@5 75.000 (72.968)
Epoch: [57][2480/5005] Time 0.216 (0.211) Data 0.044 (0.048) Loss 2.3398 (2.2857) Prec@1 46.875 (47.672) Prec@5 73.438 (72.967)
Epoch: [57][2490/5005] Time 0.213 (0.211) Data 0.058 (0.048) Loss 2.1748 (2.2857) Prec@1 52.734 (47.672) Prec@5 75.000 (72.967)
Epoch: [57][2500/5005] Time 0.204 (0.211) Data 0.057 (0.048) Loss 2.3218 (2.2857) Prec@1 49.609 (47.671) Prec@5 73.828 (72.968)
Epoch: [57][2510/5005] Time 0.212 (0.211) Data 0.047 (0.048) Loss 2.5344 (2.2857) Prec@1 42.188 (47.665) Prec@5 69.141 (72.968)
Epoch: [57][2520/5005] Time 0.202 (0.211) Data 0.050 (0.048) Loss 2.1267 (2.2857) Prec@1 51.172 (47.664) Prec@5 76.953 (72.973)
Epoch: [57][2530/5005] Time 0.210 (0.211) Data 0.057 (0.048) Loss 2.3733 (2.2857) Prec@1 44.922 (47.665) Prec@5 71.875 (72.971)
Epoch: [57][2540/5005] Time 0.203 (0.211) Data 0.048 (0.048) Loss 2.2766 (2.2855) Prec@1 41.797 (47.669) Prec@5 71.875 (72.972)
Epoch: [57][2550/5005] Time 0.211 (0.211) Data 0.048 (0.048) Loss 2.2614 (2.2855) Prec@1 47.266 (47.670) Prec@5 73.828 (72.973)
Epoch: [57][2560/5005] Time 0.208 (0.211) Data 0.052 (0.048) Loss 2.5011 (2.2856) Prec@1 41.016 (47.668) Prec@5 68.359 (72.969)
Epoch: [57][2570/5005] Time 0.208 (0.211) Data 0.053 (0.048) Loss 2.3698 (2.2857) Prec@1 43.359 (47.667) Prec@5 73.828 (72.968)
Epoch: [57][2580/5005] Time 0.210 (0.211) Data 0.057 (0.048) Loss 2.3523 (2.2860) Prec@1 47.656 (47.664) Prec@5 68.750 (72.965)
Epoch: [57][2590/5005] Time 0.202 (0.211) Data 0.044 (0.048) Loss 2.3631 (2.2858) Prec@1 46.094 (47.672) Prec@5 73.828 (72.968)
Epoch: [57][2600/5005] Time 0.209 (0.211) Data 0.040 (0.048) Loss 2.3293 (2.2860) Prec@1 43.750 (47.667) Prec@5 73.438 (72.964)
Epoch: [57][2610/5005] Time 0.211 (0.211) Data 0.041 (0.048) Loss 2.5274 (2.2859) Prec@1 43.750 (47.669) Prec@5 69.531 (72.969)
Epoch: [57][2620/5005] Time 0.195 (0.211) Data 0.043 (0.048) Loss 2.3348 (2.2860) Prec@1 46.875 (47.667) Prec@5 72.656 (72.969)
Epoch: [57][2630/5005] Time 0.212 (0.211) Data 0.043 (0.048) Loss 2.5337 (2.2864) Prec@1 42.969 (47.663) Prec@5 71.484 (72.960)
Epoch: [57][2640/5005] Time 0.208 (0.211) Data 0.063 (0.048) Loss 2.4184 (2.2865) Prec@1 42.969 (47.659) Prec@5 72.266 (72.956)
Epoch: [57][2650/5005] Time 0.203 (0.210) Data 0.057 (0.048) Loss 2.4401 (2.2865) Prec@1 44.531 (47.659) Prec@5 69.531 (72.956)
Epoch: [57][2660/5005] Time 0.206 (0.210) Data 0.063 (0.048) Loss 2.2392 (2.2865) Prec@1 47.656 (47.661) Prec@5 73.047 (72.954)
Epoch: [57][2670/5005] Time 0.211 (0.210) Data 0.046 (0.048) Loss 2.0814 (2.2863) Prec@1 50.000 (47.666) Prec@5 76.953 (72.961)
Epoch: [57][2680/5005] Time 0.206 (0.210) Data 0.042 (0.048) Loss 2.1222 (2.2862) Prec@1 51.953 (47.666) Prec@5 75.000 (72.961)
Epoch: [57][2690/5005] Time 0.205 (0.210) Data 0.043 (0.048) Loss 2.1881 (2.2861) Prec@1 52.734 (47.671) Prec@5 73.828 (72.963)
Epoch: [57][2700/5005] Time 0.205 (0.210) Data 0.037 (0.048) Loss 2.3083 (2.2861) Prec@1 42.969 (47.665) Prec@5 75.391 (72.965)
Epoch: [57][2710/5005] Time 0.199 (0.210) Data 0.042 (0.048) Loss 2.1126 (2.2863) Prec@1 53.516 (47.658) Prec@5 77.734 (72.966)
Epoch: [57][2720/5005] Time 0.212 (0.210) Data 0.045 (0.048) Loss 2.1947 (2.2863) Prec@1 52.344 (47.658) Prec@5 75.781 (72.970)
Epoch: [57][2730/5005] Time 0.211 (0.210) Data 0.047 (0.048) Loss 2.3157 (2.2861) Prec@1 48.047 (47.659) Prec@5 73.047 (72.975)
Epoch: [57][2740/5005] Time 0.213 (0.210) Data 0.059 (0.048) Loss 2.3200 (2.2861) Prec@1 49.609 (47.659) Prec@5 72.656 (72.974)
Epoch: [57][2750/5005] Time 0.210 (0.210) Data 0.048 (0.048) Loss 2.3828 (2.2861) Prec@1 44.531 (47.662) Prec@5 69.531 (72.970)
Epoch: [57][2760/5005] Time 0.211 (0.210) Data 0.047 (0.048) Loss 2.2628 (2.2860) Prec@1 48.828 (47.666) Prec@5 75.391 (72.975)
Epoch: [57][2770/5005] Time 0.211 (0.210) Data 0.042 (0.048) Loss 2.2749 (2.2860) Prec@1 48.828 (47.666) Prec@5 72.266 (72.975)
Epoch: [57][2780/5005] Time 0.197 (0.210) Data 0.051 (0.048) Loss 2.5905 (2.2861) Prec@1 45.312 (47.669) Prec@5 64.844 (72.969)
Epoch: [57][2790/5005] Time 0.212 (0.210) Data 0.046 (0.048) Loss 2.4775 (2.2862) Prec@1 39.062 (47.667) Prec@5 69.531 (72.966)
Epoch: [57][2800/5005] Time 0.216 (0.210) Data 0.045 (0.048) Loss 2.0552 (2.2862) Prec@1 47.656 (47.673) Prec@5 77.344 (72.968)
Epoch: [57][2810/5005] Time 0.211 (0.210) Data 0.048 (0.048) Loss 2.4357 (2.2863) Prec@1 39.062 (47.665) Prec@5 71.484 (72.964)
Epoch: [57][2820/5005] Time 0.214 (0.210) Data 0.044 (0.048) Loss 2.0589 (2.2861) Prec@1 49.609 (47.666) Prec@5 76.562 (72.970)
Epoch: [57][2830/5005] Time 0.212 (0.210) Data 0.046 (0.048) Loss 2.5292 (2.2862) Prec@1 44.141 (47.663) Prec@5 70.703 (72.967)
Epoch: [57][2840/5005] Time 0.213 (0.210) Data 0.051 (0.048) Loss 2.3198 (2.2861) Prec@1 45.703 (47.663) Prec@5 73.828 (72.970)
Epoch: [57][2850/5005] Time 0.217 (0.210) Data 0.047 (0.048) Loss 2.2713 (2.2860) Prec@1 49.609 (47.664) Prec@5 69.922 (72.971)
Epoch: [57][2860/5005] Time 0.208 (0.210) Data 0.042 (0.048) Loss 2.2738 (2.2861) Prec@1 50.000 (47.664) Prec@5 72.656 (72.974)
Epoch: [57][2870/5005] Time 0.206 (0.210) Data 0.063 (0.048) Loss 2.1313 (2.2858) Prec@1 53.125 (47.677) Prec@5 75.781 (72.981)
Epoch: [57][2880/5005] Time 0.216 (0.210) Data 0.046 (0.048) Loss 2.2539 (2.2859) Prec@1 44.922 (47.673) Prec@5 75.781 (72.980)
Epoch: [57][2890/5005] Time 0.213 (0.210) Data 0.041 (0.048) Loss 2.4141 (2.2857) Prec@1 41.797 (47.676) Prec@5 71.875 (72.982)
Epoch: [57][2900/5005] Time 0.210 (0.210) Data 0.048 (0.048) Loss 1.9272 (2.2854) Prec@1 54.688 (47.681) Prec@5 79.688 (72.989)
Epoch: [57][2910/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.0910 (2.2853) Prec@1 48.828 (47.681) Prec@5 75.781 (72.991)
Epoch: [57][2920/5005] Time 0.209 (0.210) Data 0.048 (0.048) Loss 2.3241 (2.2853) Prec@1 45.703 (47.680) Prec@5 72.266 (72.991)
Epoch: [57][2930/5005] Time 0.210 (0.210) Data 0.066 (0.048) Loss 2.3436 (2.2854) Prec@1 45.312 (47.677) Prec@5 72.656 (72.989)
Epoch: [57][2940/5005] Time 0.207 (0.210) Data 0.044 (0.048) Loss 2.3165 (2.2852) Prec@1 48.828 (47.680) Prec@5 73.047 (72.991)
Epoch: [57][2950/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.3607 (2.2850) Prec@1 44.922 (47.685) Prec@5 74.609 (72.996)
Epoch: [57][2960/5005] Time 0.214 (0.210) Data 0.045 (0.048) Loss 2.2358 (2.2848) Prec@1 50.391 (47.690) Prec@5 76.172 (73.002)
Epoch: [57][2970/5005] Time 0.198 (0.210) Data 0.047 (0.048) Loss 2.2887 (2.2847) Prec@1 43.750 (47.688) Prec@5 72.656 (73.002)
Epoch: [57][2980/5005] Time 0.203 (0.211) Data 0.042 (0.048) Loss 2.3246 (2.2848) Prec@1 44.922 (47.686) Prec@5 71.094 (73.002)
Epoch: [57][2990/5005] Time 0.209 (0.210) Data 0.049 (0.048) Loss 2.2555 (2.2847) Prec@1 47.266 (47.690) Prec@5 73.047 (73.003)
Epoch: [57][3000/5005] Time 0.216 (0.210) Data 0.046 (0.048) Loss 2.3015 (2.2847) Prec@1 46.875 (47.689) Prec@5 73.828 (73.001)
Epoch: [57][3010/5005] Time 0.208 (0.210) Data 0.042 (0.048) Loss 2.1520 (2.2848) Prec@1 50.391 (47.686) Prec@5 74.609 (72.998)
Epoch: [57][3020/5005] Time 0.207 (0.210) Data 0.048 (0.048) Loss 2.1157 (2.2848) Prec@1 48.047 (47.688) Prec@5 77.734 (72.997)
Epoch: [57][3030/5005] Time 0.201 (0.210) Data 0.044 (0.048) Loss 2.3266 (2.2849) Prec@1 48.828 (47.685) Prec@5 71.094 (72.999)
Epoch: [57][3040/5005] Time 0.195 (0.210) Data 0.049 (0.048) Loss 2.3043 (2.2848) Prec@1 48.828 (47.689) Prec@5 70.703 (72.998)
Epoch: [57][3050/5005] Time 0.203 (0.210) Data 0.052 (0.048) Loss 2.3132 (2.2848) Prec@1 45.703 (47.693) Prec@5 73.438 (72.998)
Epoch: [57][3060/5005] Time 0.212 (0.210) Data 0.042 (0.048) Loss 2.2339 (2.2846) Prec@1 47.656 (47.692) Prec@5 76.562 (73.002)
Epoch: [57][3070/5005] Time 0.204 (0.210) Data 0.044 (0.048) Loss 2.2724 (2.2847) Prec@1 49.219 (47.691) Prec@5 75.391 (73.003)
Epoch: [57][3080/5005] Time 0.209 (0.210) Data 0.042 (0.048) Loss 2.1808 (2.2847) Prec@1 48.438 (47.687) Prec@5 73.438 (73.004)
Epoch: [57][3090/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.5434 (2.2846) Prec@1 40.234 (47.687) Prec@5 67.578 (73.007)
Epoch: [57][3100/5005] Time 0.200 (0.210) Data 0.048 (0.048) Loss 2.3335 (2.2847) Prec@1 44.141 (47.688) Prec@5 71.875 (73.006)
Epoch: [57][3110/5005] Time 0.208 (0.210) Data 0.043 (0.048) Loss 2.1457 (2.2844) Prec@1 49.609 (47.692) Prec@5 74.219 (73.013)
Epoch: [57][3120/5005] Time 0.202 (0.210) Data 0.042 (0.048) Loss 2.3853 (2.2844) Prec@1 43.359 (47.688) Prec@5 72.266 (73.013)
Epoch: [57][3130/5005] Time 0.211 (0.210) Data 0.045 (0.048) Loss 2.3175 (2.2842) Prec@1 44.922 (47.692) Prec@5 73.047 (73.017)
Epoch: [57][3140/5005] Time 0.208 (0.210) Data 0.042 (0.048) Loss 2.0942 (2.2839) Prec@1 52.734 (47.700) Prec@5 75.000 (73.018)
Epoch: [57][3150/5005] Time 0.215 (0.210) Data 0.044 (0.048) Loss 2.3555 (2.2838) Prec@1 46.484 (47.700) Prec@5 71.094 (73.022)
Epoch: [57][3160/5005] Time 0.205 (0.210) Data 0.069 (0.048) Loss 2.0568 (2.2837) Prec@1 53.516 (47.706) Prec@5 74.219 (73.023)
Epoch: [57][3170/5005] Time 0.209 (0.210) Data 0.051 (0.048) Loss 2.3392 (2.2837) Prec@1 47.656 (47.704) Prec@5 72.656 (73.024)
Epoch: [57][3180/5005] Time 0.210 (0.210) Data 0.047 (0.048) Loss 2.1730 (2.2837) Prec@1 51.953 (47.708) Prec@5 73.438 (73.025)
Epoch: [57][3190/5005] Time 0.215 (0.210) Data 0.056 (0.048) Loss 2.3104 (2.2836) Prec@1 46.094 (47.712) Prec@5 71.094 (73.028)
Epoch: [57][3200/5005] Time 0.200 (0.210) Data 0.048 (0.048) Loss 2.3551 (2.2835) Prec@1 45.312 (47.716) Prec@5 73.828 (73.031)
Epoch: [57][3210/5005] Time 0.205 (0.210) Data 0.049 (0.048) Loss 2.2765 (2.2834) Prec@1 49.609 (47.720) Prec@5 71.094 (73.033)
Epoch: [57][3220/5005] Time 0.210 (0.210) Data 0.054 (0.048) Loss 2.4011 (2.2834) Prec@1 47.656 (47.721) Prec@5 70.703 (73.034)
Epoch: [57][3230/5005] Time 0.215 (0.210) Data 0.042 (0.048) Loss 2.1597 (2.2832) Prec@1 50.000 (47.726) Prec@5 72.266 (73.036)
Epoch: [57][3240/5005] Time 0.218 (0.210) Data 0.042 (0.048) Loss 2.6198 (2.2835) Prec@1 44.141 (47.721) Prec@5 67.578 (73.033)
Epoch: [57][3250/5005] Time 0.206 (0.210) Data 0.046 (0.048) Loss 2.1733 (2.2836) Prec@1 49.609 (47.723) Prec@5 76.172 (73.034)
Epoch: [57][3260/5005] Time 0.192 (0.210) Data 0.050 (0.048) Loss 2.2805 (2.2837) Prec@1 49.219 (47.720) Prec@5 71.094 (73.034)
Epoch: [57][3270/5005] Time 0.202 (0.210) Data 0.043 (0.048) Loss 2.3337 (2.2835) Prec@1 46.875 (47.721) Prec@5 71.484 (73.039)
Epoch: [57][3280/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.2339 (2.2837) Prec@1 49.219 (47.722) Prec@5 73.438 (73.040)
Epoch: [57][3290/5005] Time 0.215 (0.210) Data 0.044 (0.048) Loss 2.2558 (2.2835) Prec@1 51.562 (47.723) Prec@5 74.219 (73.043)
Epoch: [57][3300/5005] Time 0.207 (0.210) Data 0.045 (0.048) Loss 2.1701 (2.2834) Prec@1 48.828 (47.726) Prec@5 75.781 (73.044)
Epoch: [57][3310/5005] Time 0.218 (0.210) Data 0.043 (0.048) Loss 2.1886 (2.2834) Prec@1 50.000 (47.727) Prec@5 75.781 (73.043)
Epoch: [57][3320/5005] Time 0.210 (0.210) Data 0.041 (0.048) Loss 2.4355 (2.2833) Prec@1 45.312 (47.726) Prec@5 70.703 (73.042)
Epoch: [57][3330/5005] Time 0.198 (0.210) Data 0.049 (0.048) Loss 2.3188 (2.2834) Prec@1 47.656 (47.727) Prec@5 70.703 (73.041)
Epoch: [57][3340/5005] Time 0.199 (0.210) Data 0.042 (0.048) Loss 2.3306 (2.2834) Prec@1 48.047 (47.726) Prec@5 74.219 (73.040)
Epoch: [57][3350/5005] Time 0.214 (0.210) Data 0.045 (0.048) Loss 2.2995 (2.2831) Prec@1 45.703 (47.730) Prec@5 73.438 (73.045)
Epoch: [57][3360/5005] Time 0.206 (0.210) Data 0.044 (0.048) Loss 2.1906 (2.2832) Prec@1 50.781 (47.732) Prec@5 73.047 (73.043)
Epoch: [57][3370/5005] Time 0.204 (0.210) Data 0.044 (0.048) Loss 2.3848 (2.2831) Prec@1 46.094 (47.732) Prec@5 71.875 (73.040)
Epoch: [57][3380/5005] Time 0.206 (0.210) Data 0.045 (0.048) Loss 2.2596 (2.2829) Prec@1 46.094 (47.734) Prec@5 74.609 (73.043)
Epoch: [57][3390/5005] Time 0.195 (0.210) Data 0.070 (0.048) Loss 2.2639 (2.2831) Prec@1 50.000 (47.733) Prec@5 73.828 (73.042)
Epoch: [57][3400/5005] Time 0.213 (0.210) Data 0.047 (0.048) Loss 2.2280 (2.2832) Prec@1 46.875 (47.732) Prec@5 74.609 (73.042)
Epoch: [57][3410/5005] Time 0.206 (0.210) Data 0.045 (0.048) Loss 2.2185 (2.2831) Prec@1 50.000 (47.734) Prec@5 74.219 (73.043)
Epoch: [57][3420/5005] Time 0.207 (0.210) Data 0.053 (0.048) Loss 2.2839 (2.2830) Prec@1 48.828 (47.736) Prec@5 73.828 (73.046)
Epoch: [57][3430/5005] Time 0.219 (0.210) Data 0.046 (0.048) Loss 2.2209 (2.2829) Prec@1 44.922 (47.738) Prec@5 72.656 (73.048)
Epoch: [57][3440/5005] Time 0.210 (0.210) Data 0.049 (0.048) Loss 2.3579 (2.2828) Prec@1 46.094 (47.740) Prec@5 67.969 (73.047)
Epoch: [57][3450/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.1776 (2.2827) Prec@1 47.266 (47.739) Prec@5 77.344 (73.050)
Epoch: [57][3460/5005] Time 0.201 (0.210) Data 0.044 (0.048) Loss 2.2024 (2.2828) Prec@1 49.609 (47.743) Prec@5 75.391 (73.049)
Epoch: [57][3470/5005] Time 0.207 (0.210) Data 0.062 (0.048) Loss 2.1229 (2.2824) Prec@1 51.562 (47.749) Prec@5 73.047 (73.053)
Epoch: [57][3480/5005] Time 0.205 (0.210) Data 0.046 (0.048) Loss 2.2085 (2.2821) Prec@1 48.438 (47.753) Prec@5 75.781 (73.060)
Epoch: [57][3490/5005] Time 0.195 (0.210) Data 0.060 (0.048) Loss 2.3222 (2.2822) Prec@1 48.438 (47.752) Prec@5 74.219 (73.055)
Epoch: [57][3500/5005] Time 0.210 (0.210) Data 0.046 (0.048) Loss 2.1708 (2.2822) Prec@1 47.656 (47.750) Prec@5 75.391 (73.056)
Epoch: [57][3510/5005] Time 0.211 (0.210) Data 0.046 (0.048) Loss 2.2063 (2.2822) Prec@1 43.750 (47.750) Prec@5 73.828 (73.057)
Epoch: [57][3520/5005] Time 0.208 (0.210) Data 0.041 (0.048) Loss 2.4214 (2.2822) Prec@1 44.922 (47.748) Prec@5 71.484 (73.056)
Epoch: [57][3530/5005] Time 0.199 (0.210) Data 0.042 (0.048) Loss 2.2807 (2.2820) Prec@1 47.266 (47.751) Prec@5 73.047 (73.059)
Epoch: [57][3540/5005] Time 0.211 (0.210) Data 0.047 (0.048) Loss 2.1765 (2.2818) Prec@1 50.391 (47.756) Prec@5 76.953 (73.062)
Epoch: [57][3550/5005] Time 0.207 (0.210) Data 0.051 (0.048) Loss 2.3901 (2.2817) Prec@1 42.578 (47.758) Prec@5 71.484 (73.064)
Epoch: [57][3560/5005] Time 0.207 (0.210) Data 0.046 (0.048) Loss 2.3954 (2.2817) Prec@1 47.266 (47.758) Prec@5 70.703 (73.066)
Epoch: [57][3570/5005] Time 0.208 (0.210) Data 0.042 (0.048) Loss 2.3809 (2.2818) Prec@1 49.609 (47.758) Prec@5 73.828 (73.063)
Epoch: [57][3580/5005] Time 0.203 (0.210) Data 0.053 (0.048) Loss 2.2918 (2.2819) Prec@1 48.438 (47.756) Prec@5 70.703 (73.059)
Epoch: [57][3590/5005] Time 0.208 (0.210) Data 0.043 (0.048) Loss 2.2077 (2.2816) Prec@1 49.219 (47.761) Prec@5 70.312 (73.062)
Epoch: [57][3600/5005] Time 0.202 (0.210) Data 0.055 (0.048) Loss 2.3220 (2.2814) Prec@1 45.703 (47.763) Prec@5 71.094 (73.063)
Epoch: [57][3610/5005] Time 0.212 (0.210) Data 0.045 (0.048) Loss 2.2011 (2.2814) Prec@1 50.781 (47.760) Prec@5 74.609 (73.063)
Epoch: [57][3620/5005] Time 0.197 (0.210) Data 0.046 (0.048) Loss 2.5551 (2.2812) Prec@1 43.359 (47.768) Prec@5 68.359 (73.068)
Epoch: [57][3630/5005] Time 0.214 (0.210) Data 0.045 (0.048) Loss 2.5292 (2.2811) Prec@1 43.750 (47.770) Prec@5 68.750 (73.069)
Epoch: [57][3640/5005] Time 0.219 (0.210) Data 0.053 (0.048) Loss 2.1444 (2.2810) Prec@1 48.438 (47.770) Prec@5 74.219 (73.067)
Epoch: [57][3650/5005] Time 0.196 (0.210) Data 0.065 (0.048) Loss 2.2441 (2.2810) Prec@1 49.219 (47.772) Prec@5 76.562 (73.068)
Epoch: [57][3660/5005] Time 0.207 (0.210) Data 0.052 (0.048) Loss 2.3975 (2.2809) Prec@1 44.922 (47.776) Prec@5 69.922 (73.071)
Epoch: [57][3670/5005] Time 0.194 (0.210) Data 0.064 (0.048) Loss 2.4710 (2.2810) Prec@1 46.875 (47.773) Prec@5 69.922 (73.068)
Epoch: [57][3680/5005] Time 0.205 (0.210) Data 0.042 (0.048) Loss 2.1761 (2.2810) Prec@1 50.391 (47.773) Prec@5 72.266 (73.066)
Epoch: [57][3690/5005] Time 0.204 (0.210) Data 0.051 (0.048) Loss 2.1331 (2.2809) Prec@1 50.781 (47.776) Prec@5 76.953 (73.069)
Epoch: [57][3700/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.3317 (2.2810) Prec@1 46.875 (47.775) Prec@5 71.094 (73.067)
Epoch: [57][3710/5005] Time 0.207 (0.210) Data 0.045 (0.048) Loss 2.2079 (2.2810) Prec@1 52.734 (47.778) Prec@5 73.828 (73.067)
Epoch: [57][3720/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.3400 (2.2809) Prec@1 48.828 (47.777) Prec@5 72.266 (73.070)
Epoch: [57][3730/5005] Time 0.213 (0.210) Data 0.042 (0.048) Loss 2.1348 (2.2807) Prec@1 54.297 (47.782) Prec@5 74.609 (73.074)
Epoch: [57][3740/5005] Time 0.214 (0.210) Data 0.043 (0.048) Loss 2.3568 (2.2805) Prec@1 49.609 (47.788) Prec@5 71.484 (73.078)
Epoch: [57][3750/5005] Time 0.198 (0.210) Data 0.045 (0.048) Loss 2.1642 (2.2806) Prec@1 46.484 (47.787) Prec@5 78.125 (73.076)
Epoch: [57][3760/5005] Time 0.203 (0.210) Data 0.042 (0.048) Loss 2.3584 (2.2807) Prec@1 46.484 (47.782) Prec@5 69.531 (73.072)
Epoch: [57][3770/5005] Time 0.203 (0.210) Data 0.043 (0.048) Loss 2.3894 (2.2806) Prec@1 43.359 (47.783) Prec@5 69.922 (73.071)
Epoch: [57][3780/5005] Time 0.212 (0.210) Data 0.042 (0.048) Loss 2.2912 (2.2805) Prec@1 47.266 (47.783) Prec@5 73.828 (73.073)
Epoch: [57][3790/5005] Time 0.219 (0.210) Data 0.046 (0.048) Loss 2.4073 (2.2806) Prec@1 46.875 (47.782) Prec@5 72.266 (73.073)
Epoch: [57][3800/5005] Time 0.200 (0.210) Data 0.053 (0.048) Loss 2.2449 (2.2806) Prec@1 48.828 (47.781) Prec@5 71.875 (73.071)
Epoch: [57][3810/5005] Time 0.215 (0.210) Data 0.044 (0.048) Loss 2.0971 (2.2808) Prec@1 51.172 (47.779) Prec@5 75.000 (73.069)
Epoch: [57][3820/5005] Time 0.216 (0.210) Data 0.043 (0.048) Loss 2.1322 (2.2806) Prec@1 51.172 (47.781) Prec@5 78.516 (73.073)
Epoch: [57][3830/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.3354 (2.2804) Prec@1 46.094 (47.785) Prec@5 73.047 (73.079)
Epoch: [57][3840/5005] Time 0.210 (0.210) Data 0.046 (0.048) Loss 2.4800 (2.2805) Prec@1 45.703 (47.782) Prec@5 69.531 (73.075)
Epoch: [57][3850/5005] Time 0.218 (0.210) Data 0.041 (0.048) Loss 2.5025 (2.2804) Prec@1 44.531 (47.784) Prec@5 67.188 (73.076)
Epoch: [57][3860/5005] Time 0.205 (0.210) Data 0.047 (0.048) Loss 2.0327 (2.2804) Prec@1 50.781 (47.783) Prec@5 77.734 (73.074)
Epoch: [57][3870/5005] Time 0.204 (0.210) Data 0.047 (0.048) Loss 2.2480 (2.2804) Prec@1 45.703 (47.779) Prec@5 75.000 (73.073)
Epoch: [57][3880/5005] Time 0.205 (0.210) Data 0.052 (0.048) Loss 2.2169 (2.2804) Prec@1 51.562 (47.782) Prec@5 73.047 (73.071)
Epoch: [57][3890/5005] Time 0.204 (0.210) Data 0.047 (0.048) Loss 2.5690 (2.2804) Prec@1 41.797 (47.782) Prec@5 70.703 (73.071)
Epoch: [57][3900/5005] Time 0.204 (0.210) Data 0.043 (0.048) Loss 2.4435 (2.2804) Prec@1 46.484 (47.783) Prec@5 69.531 (73.072)
Epoch: [57][3910/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.4092 (2.2805) Prec@1 43.750 (47.781) Prec@5 67.188 (73.069)
Epoch: [57][3920/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.3624 (2.2805) Prec@1 48.047 (47.785) Prec@5 73.047 (73.068)
Epoch: [57][3930/5005] Time 0.202 (0.210) Data 0.046 (0.048) Loss 2.1801 (2.2803) Prec@1 48.438 (47.790) Prec@5 73.047 (73.072)
Epoch: [57][3940/5005] Time 0.202 (0.210) Data 0.046 (0.048) Loss 2.3044 (2.2803) Prec@1 49.609 (47.792) Prec@5 71.484 (73.071)
Epoch: [57][3950/5005] Time 0.203 (0.210) Data 0.043 (0.048) Loss 2.2839 (2.2801) Prec@1 48.828 (47.796) Prec@5 74.609 (73.076)
Epoch: [57][3960/5005] Time 0.209 (0.210) Data 0.057 (0.048) Loss 2.3276 (2.2801) Prec@1 47.656 (47.796) Prec@5 72.266 (73.075)
Epoch: [57][3970/5005] Time 0.212 (0.210) Data 0.046 (0.048) Loss 2.2437 (2.2801) Prec@1 46.094 (47.792) Prec@5 78.516 (73.077)
Epoch: [57][3980/5005] Time 0.195 (0.210) Data 0.050 (0.048) Loss 2.1132 (2.2801) Prec@1 50.781 (47.793) Prec@5 74.609 (73.078)
Epoch: [57][3990/5005] Time 0.211 (0.210) Data 0.040 (0.048) Loss 2.4658 (2.2801) Prec@1 43.750 (47.792) Prec@5 69.922 (73.079)
Epoch: [57][4000/5005] Time 0.206 (0.210) Data 0.043 (0.048) Loss 2.2251 (2.2802) Prec@1 50.781 (47.792) Prec@5 71.094 (73.076)
Epoch: [57][4010/5005] Time 0.207 (0.210) Data 0.057 (0.048) Loss 2.2503 (2.2801) Prec@1 49.219 (47.794) Prec@5 72.266 (73.076)
Epoch: [57][4020/5005] Time 0.201 (0.210) Data 0.040 (0.048) Loss 2.4052 (2.2802) Prec@1 47.266 (47.791) Prec@5 69.141 (73.074)
Epoch: [57][4030/5005] Time 0.209 (0.210) Data 0.048 (0.048) Loss 2.5941 (2.2805) Prec@1 44.141 (47.786) Prec@5 65.234 (73.067)
Epoch: [57][4040/5005] Time 0.213 (0.210) Data 0.048 (0.048) Loss 2.2911 (2.2806) Prec@1 51.562 (47.784) Prec@5 69.141 (73.064)
Epoch: [57][4050/5005] Time 0.195 (0.210) Data 0.043 (0.048) Loss 2.4884 (2.2806) Prec@1 42.578 (47.784) Prec@5 67.578 (73.063)
Epoch: [57][4060/5005] Time 0.209 (0.210) Data 0.042 (0.048) Loss 2.3945 (2.2805) Prec@1 46.484 (47.785) Prec@5 69.141 (73.065)
Epoch: [57][4070/5005] Time 0.209 (0.210) Data 0.053 (0.048) Loss 2.3990 (2.2806) Prec@1 47.656 (47.783) Prec@5 73.047 (73.065)
Epoch: [57][4080/5005] Time 0.204 (0.210) Data 0.046 (0.048) Loss 2.2102 (2.2806) Prec@1 51.953 (47.785) Prec@5 75.391 (73.064)
Epoch: [57][4090/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.4158 (2.2805) Prec@1 44.531 (47.785) Prec@5 69.922 (73.064)
Epoch: [57][4100/5005] Time 0.205 (0.210) Data 0.046 (0.048) Loss 2.1485 (2.2804) Prec@1 48.047 (47.785) Prec@5 74.609 (73.065)
Epoch: [57][4110/5005] Time 0.201 (0.210) Data 0.042 (0.048) Loss 2.4033 (2.2804) Prec@1 47.656 (47.785) Prec@5 71.875 (73.065)
Epoch: [57][4120/5005] Time 0.217 (0.210) Data 0.048 (0.048) Loss 2.2398 (2.2804) Prec@1 51.172 (47.786) Prec@5 73.828 (73.066)
Epoch: [57][4130/5005] Time 0.204 (0.210) Data 0.048 (0.048) Loss 2.5650 (2.2803) Prec@1 41.406 (47.788) Prec@5 67.969 (73.069)
Epoch: [57][4140/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.2733 (2.2803) Prec@1 50.000 (47.791) Prec@5 71.875 (73.066)
Epoch: [57][4150/5005] Time 0.213 (0.210) Data 0.048 (0.048) Loss 2.4046 (2.2802) Prec@1 44.531 (47.791) Prec@5 73.438 (73.068)
Epoch: [57][4160/5005] Time 0.207 (0.210) Data 0.050 (0.048) Loss 2.1544 (2.2803) Prec@1 49.609 (47.792) Prec@5 77.734 (73.068)
Epoch: [57][4170/5005] Time 0.188 (0.210) Data 0.046 (0.048) Loss 2.1826 (2.2802) Prec@1 48.438 (47.794) Prec@5 74.219 (73.070)
Epoch: [57][4180/5005] Time 0.215 (0.210) Data 0.044 (0.048) Loss 2.2133 (2.2802) Prec@1 50.781 (47.791) Prec@5 72.656 (73.070)
Epoch: [57][4190/5005] Time 0.204 (0.210) Data 0.050 (0.048) Loss 2.0647 (2.2802) Prec@1 53.516 (47.792) Prec@5 76.562 (73.069)
Epoch: [57][4200/5005] Time 0.190 (0.210) Data 0.044 (0.048) Loss 2.1266 (2.2801) Prec@1 47.656 (47.792) Prec@5 74.219 (73.070)
Epoch: [57][4210/5005] Time 0.215 (0.210) Data 0.045 (0.048) Loss 2.0748 (2.2801) Prec@1 52.734 (47.796) Prec@5 78.125 (73.071)
Epoch: [57][4220/5005] Time 0.210 (0.210) Data 0.049 (0.048) Loss 2.3944 (2.2801) Prec@1 46.875 (47.796) Prec@5 70.703 (73.068)
Epoch: [57][4230/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.5085 (2.2801) Prec@1 44.531 (47.796) Prec@5 69.531 (73.069)
Epoch: [57][4240/5005] Time 0.205 (0.210) Data 0.046 (0.048) Loss 2.1340 (2.2802) Prec@1 50.000 (47.794) Prec@5 76.172 (73.068)
Epoch: [57][4250/5005] Time 0.205 (0.210) Data 0.046 (0.048) Loss 2.0335 (2.2800) Prec@1 51.953 (47.800) Prec@5 77.344 (73.070)
Epoch: [57][4260/5005] Time 0.214 (0.210) Data 0.046 (0.048) Loss 2.1996 (2.2800) Prec@1 47.656 (47.800) Prec@5 73.047 (73.071)
Epoch: [57][4270/5005] Time 0.215 (0.210) Data 0.043 (0.048) Loss 2.4103 (2.2801) Prec@1 46.484 (47.802) Prec@5 70.703 (73.070)
Epoch: [57][4280/5005] Time 0.204 (0.210) Data 0.047 (0.048) Loss 2.2952 (2.2801) Prec@1 50.000 (47.803) Prec@5 72.656 (73.069)
Epoch: [57][4290/5005] Time 0.192 (0.210) Data 0.048 (0.048) Loss 2.4691 (2.2801) Prec@1 44.141 (47.801) Prec@5 66.797 (73.069)
Epoch: [57][4300/5005] Time 0.201 (0.210) Data 0.043 (0.048) Loss 2.1166 (2.2799) Prec@1 51.562 (47.805) Prec@5 75.000 (73.074)
Epoch: [57][4310/5005] Time 0.209 (0.210) Data 0.046 (0.048) Loss 2.2674 (2.2799) Prec@1 46.875 (47.806) Prec@5 74.219 (73.073)
Epoch: [57][4320/5005] Time 0.204 (0.210) Data 0.049 (0.048) Loss 2.3353 (2.2799) Prec@1 47.266 (47.806) Prec@5 73.828 (73.072)
Epoch: [57][4330/5005] Time 0.213 (0.210) Data 0.053 (0.048) Loss 2.1974 (2.2798) Prec@1 48.438 (47.807) Prec@5 75.391 (73.075)
Epoch: [57][4340/5005] Time 0.214 (0.210) Data 0.043 (0.048) Loss 2.2989 (2.2799) Prec@1 45.703 (47.806) Prec@5 70.703 (73.074)
Epoch: [57][4350/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.2431 (2.2797) Prec@1 52.734 (47.810) Prec@5 73.438 (73.077)
Epoch: [57][4360/5005] Time 0.210 (0.210) Data 0.048 (0.048) Loss 2.1293 (2.2796) Prec@1 47.656 (47.812) Prec@5 74.219 (73.079)
Epoch: [57][4370/5005] Time 0.213 (0.210) Data 0.047 (0.048) Loss 2.2378 (2.2796) Prec@1 47.266 (47.815) Prec@5 75.391 (73.082)
Epoch: [57][4380/5005] Time 0.203 (0.210) Data 0.051 (0.048) Loss 2.2139 (2.2796) Prec@1 48.047 (47.815) Prec@5 74.609 (73.084)
Epoch: [57][4390/5005] Time 0.203 (0.210) Data 0.042 (0.048) Loss 2.3773 (2.2794) Prec@1 43.750 (47.817) Prec@5 69.922 (73.085)
Epoch: [57][4400/5005] Time 0.209 (0.210) Data 0.042 (0.048) Loss 2.1601 (2.2794) Prec@1 50.781 (47.816) Prec@5 74.219 (73.086)
Epoch: [57][4410/5005] Time 0.200 (0.210) Data 0.051 (0.048) Loss 2.3258 (2.2793) Prec@1 43.359 (47.818) Prec@5 70.703 (73.087)
Epoch: [57][4420/5005] Time 0.204 (0.210) Data 0.059 (0.048) Loss 2.0111 (2.2793) Prec@1 51.562 (47.816) Prec@5 75.781 (73.087)
Epoch: [57][4430/5005] Time 0.195 (0.210) Data 0.055 (0.048) Loss 2.2753 (2.2791) Prec@1 42.578 (47.819) Prec@5 72.656 (73.089)
Epoch: [57][4440/5005] Time 0.204 (0.210) Data 0.049 (0.048) Loss 2.3803 (2.2790) Prec@1 46.094 (47.820) Prec@5 70.703 (73.090)
Epoch: [57][4450/5005] Time 0.204 (0.210) Data 0.045 (0.048) Loss 2.1987 (2.2791) Prec@1 50.000 (47.819) Prec@5 74.609 (73.090)
Epoch: [57][4460/5005] Time 0.214 (0.210) Data 0.048 (0.048) Loss 2.3951 (2.2790) Prec@1 47.266 (47.818) Prec@5 71.484 (73.092)
Epoch: [57][4470/5005] Time 0.212 (0.210) Data 0.050 (0.048) Loss 2.2649 (2.2790) Prec@1 45.703 (47.817) Prec@5 72.656 (73.093)
Epoch: [57][4480/5005] Time 0.213 (0.210) Data 0.047 (0.048) Loss 2.0610 (2.2791) Prec@1 50.781 (47.815) Prec@5 75.000 (73.087)
Epoch: [57][4490/5005] Time 0.201 (0.210) Data 0.051 (0.048) Loss 2.3383 (2.2792) Prec@1 46.484 (47.814) Prec@5 75.000 (73.088)
Epoch: [57][4500/5005] Time 0.210 (0.210) Data 0.040 (0.048) Loss 2.1619 (2.2791) Prec@1 46.875 (47.816) Prec@5 74.219 (73.089)
Epoch: [57][4510/5005] Time 0.217 (0.210) Data 0.046 (0.048) Loss 1.9876 (2.2790) Prec@1 51.172 (47.815) Prec@5 78.906 (73.090)
Epoch: [57][4520/5005] Time 0.211 (0.210) Data 0.048 (0.048) Loss 2.1783 (2.2789) Prec@1 51.172 (47.818) Prec@5 75.000 (73.093)
Epoch: [57][4530/5005] Time 0.204 (0.210) Data 0.045 (0.048) Loss 2.1935 (2.2789) Prec@1 48.047 (47.817) Prec@5 74.609 (73.093)
Epoch: [57][4540/5005] Time 0.204 (0.210) Data 0.045 (0.048) Loss 2.2626 (2.2790) Prec@1 46.875 (47.816) Prec@5 74.609 (73.093)
Epoch: [57][4550/5005] Time 0.200 (0.210) Data 0.047 (0.048) Loss 2.3536 (2.2789) Prec@1 46.094 (47.818) Prec@5 72.266 (73.094)
Epoch: [57][4560/5005] Time 0.209 (0.210) Data 0.046 (0.048) Loss 2.2907 (2.2789) Prec@1 44.922 (47.818) Prec@5 72.266 (73.093)
Epoch: [57][4570/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.2604 (2.2788) Prec@1 50.000 (47.820) Prec@5 72.266 (73.095)
Epoch: [57][4580/5005] Time 0.211 (0.210) Data 0.047 (0.048) Loss 2.3207 (2.2787) Prec@1 41.016 (47.820) Prec@5 72.266 (73.095)
Epoch: [57][4590/5005] Time 0.216 (0.210) Data 0.047 (0.048) Loss 2.2711 (2.2787) Prec@1 51.953 (47.822) Prec@5 73.828 (73.096)
Epoch: [57][4600/5005] Time 0.221 (0.210) Data 0.044 (0.048) Loss 2.0670 (2.2787) Prec@1 47.266 (47.820) Prec@5 76.172 (73.097)
Epoch: [57][4610/5005] Time 0.207 (0.209) Data 0.044 (0.048) Loss 2.0488 (2.2786) Prec@1 51.953 (47.820) Prec@5 77.734 (73.098)
Epoch: [57][4620/5005] Time 0.210 (0.209) Data 0.041 (0.048) Loss 2.1957 (2.2786) Prec@1 53.516 (47.822) Prec@5 73.438 (73.098)
Epoch: [57][4630/5005] Time 0.209 (0.209) Data 0.041 (0.048) Loss 2.1108 (2.2784) Prec@1 51.953 (47.824) Prec@5 74.609 (73.098)
Epoch: [57][4640/5005] Time 0.212 (0.209) Data 0.043 (0.048) Loss 2.1555 (2.2783) Prec@1 50.391 (47.825) Prec@5 71.875 (73.099)
Epoch: [57][4650/5005] Time 0.207 (0.209) Data 0.045 (0.048) Loss 2.3021 (2.2783) Prec@1 45.312 (47.826) Prec@5 73.828 (73.100)
Epoch: [57][4660/5005] Time 0.208 (0.209) Data 0.041 (0.048) Loss 2.5761 (2.2783) Prec@1 42.969 (47.827) Prec@5 66.016 (73.100)
Epoch: [57][4670/5005] Time 0.208 (0.209) Data 0.053 (0.048) Loss 2.2110 (2.2782) Prec@1 46.094 (47.829) Prec@5 75.391 (73.101)
Epoch: [57][4680/5005] Time 0.200 (0.209) Data 0.064 (0.048) Loss 2.1803 (2.2781) Prec@1 48.438 (47.831) Prec@5 77.344 (73.103)
Epoch: [57][4690/5005] Time 0.196 (0.209) Data 0.066 (0.048) Loss 2.2523 (2.2780) Prec@1 51.562 (47.830) Prec@5 71.875 (73.103)
Epoch: [57][4700/5005] Time 0.204 (0.209) Data 0.043 (0.048) Loss 2.2200 (2.2780) Prec@1 50.781 (47.835) Prec@5 73.047 (73.103)
Epoch: [57][4710/5005] Time 0.216 (0.209) Data 0.044 (0.048) Loss 2.0837 (2.2778) Prec@1 52.734 (47.839) Prec@5 75.000 (73.108)
Epoch: [57][4720/5005] Time 0.212 (0.209) Data 0.043 (0.048) Loss 2.1355 (2.2777) Prec@1 48.438 (47.841) Prec@5 75.391 (73.109)
Epoch: [57][4730/5005] Time 0.204 (0.209) Data 0.059 (0.048) Loss 2.2685 (2.2778) Prec@1 48.828 (47.839) Prec@5 73.438 (73.108)
Epoch: [57][4740/5005] Time 0.212 (0.209) Data 0.044 (0.048) Loss 2.0753 (2.2776) Prec@1 48.828 (47.839) Prec@5 76.562 (73.112)
Epoch: [57][4750/5005] Time 0.207 (0.209) Data 0.050 (0.048) Loss 2.3353 (2.2775) Prec@1 49.219 (47.843) Prec@5 72.266 (73.113)
Epoch: [57][4760/5005] Time 0.191 (0.209) Data 0.050 (0.048) Loss 2.4439 (2.2774) Prec@1 45.312 (47.847) Prec@5 70.703 (73.117)
Epoch: [57][4770/5005] Time 0.206 (0.209) Data 0.046 (0.048) Loss 2.0637 (2.2773) Prec@1 53.125 (47.849) Prec@5 76.562 (73.118)
Epoch: [57][4780/5005] Time 0.207 (0.209) Data 0.057 (0.048) Loss 2.3509 (2.2773) Prec@1 48.047 (47.850) Prec@5 72.656 (73.118)
Epoch: [57][4790/5005] Time 0.204 (0.209) Data 0.048 (0.048) Loss 2.5175 (2.2773) Prec@1 41.406 (47.849) Prec@5 67.578 (73.118)
Epoch: [57][4800/5005] Time 0.207 (0.209) Data 0.044 (0.048) Loss 2.3685 (2.2772) Prec@1 41.406 (47.847) Prec@5 71.484 (73.118)
Epoch: [57][4810/5005] Time 0.206 (0.209) Data 0.048 (0.048) Loss 2.5622 (2.2772) Prec@1 45.703 (47.847) Prec@5 66.797 (73.119)
Epoch: [57][4820/5005] Time 0.215 (0.209) Data 0.047 (0.048) Loss 2.4039 (2.2771) Prec@1 40.625 (47.846) Prec@5 70.312 (73.119)
Epoch: [57][4830/5005] Time 0.206 (0.209) Data 0.061 (0.048) Loss 2.3122 (2.2770) Prec@1 45.312 (47.847) Prec@5 73.047 (73.120)
Epoch: [57][4840/5005] Time 0.211 (0.209) Data 0.043 (0.048) Loss 2.1097 (2.2771) Prec@1 54.688 (47.846) Prec@5 75.781 (73.119)
Epoch: [57][4850/5005] Time 0.203 (0.209) Data 0.065 (0.048) Loss 2.3292 (2.2772) Prec@1 45.312 (47.843) Prec@5 69.141 (73.118)
Epoch: [57][4860/5005] Time 0.212 (0.209) Data 0.042 (0.048) Loss 2.2253 (2.2772) Prec@1 47.656 (47.843) Prec@5 76.562 (73.118)
Epoch: [57][4870/5005] Time 0.208 (0.209) Data 0.046 (0.048) Loss 2.1215 (2.2772) Prec@1 48.438 (47.844) Prec@5 73.438 (73.116)
Epoch: [57][4880/5005] Time 0.199 (0.209) Data 0.052 (0.048) Loss 2.1692 (2.2771) Prec@1 51.172 (47.849) Prec@5 74.219 (73.119)
Epoch: [57][4890/5005] Time 0.202 (0.209) Data 0.052 (0.048) Loss 2.3275 (2.2770) Prec@1 50.781 (47.852) Prec@5 71.094 (73.120)
Epoch: [57][4900/5005] Time 0.197 (0.209) Data 0.049 (0.048) Loss 2.1427 (2.2769) Prec@1 48.047 (47.854) Prec@5 75.781 (73.122)
Epoch: [57][4910/5005] Time 0.197 (0.209) Data 0.049 (0.048) Loss 2.3451 (2.2767) Prec@1 45.312 (47.856) Prec@5 72.266 (73.125)
Epoch: [57][4920/5005] Time 0.201 (0.209) Data 0.060 (0.048) Loss 2.1322 (2.2766) Prec@1 48.438 (47.857) Prec@5 76.172 (73.129)
Epoch: [57][4930/5005] Time 0.211 (0.209) Data 0.049 (0.048) Loss 2.3535 (2.2765) Prec@1 46.484 (47.858) Prec@5 67.578 (73.132)
Epoch: [57][4940/5005] Time 0.213 (0.209) Data 0.043 (0.048) Loss 2.1765 (2.2765) Prec@1 51.953 (47.860) Prec@5 76.562 (73.131)
Epoch: [57][4950/5005] Time 0.209 (0.209) Data 0.043 (0.048) Loss 2.1235 (2.2766) Prec@1 45.703 (47.857) Prec@5 75.391 (73.130)
Epoch: [57][4960/5005] Time 0.206 (0.209) Data 0.049 (0.048) Loss 2.1918 (2.2765) Prec@1 48.828 (47.861) Prec@5 76.172 (73.131)
Epoch: [57][4970/5005] Time 0.210 (0.209) Data 0.043 (0.048) Loss 2.5147 (2.2764) Prec@1 46.094 (47.863) Prec@5 69.531 (73.135)
Epoch: [57][4980/5005] Time 0.213 (0.209) Data 0.048 (0.048) Loss 2.1866 (2.2763) Prec@1 47.656 (47.869) Prec@5 78.125 (73.137)
Epoch: [57][4990/5005] Time 0.206 (0.209) Data 0.022 (0.048) Loss 2.3532 (2.2762) Prec@1 45.703 (47.870) Prec@5 70.312 (73.138)
Epoch: [57][5000/5005] Time 0.206 (0.209) Data 0.021 (0.048) Loss 2.3728 (2.2762) Prec@1 44.922 (47.872) Prec@5 71.484 (73.138)
Test: [0/196] Time 1.522 (1.522) Loss 2.4478 (2.4478) Prec@1 46.875 (46.875) Prec@5 70.312 (70.312)
Test: [10/196] Time 0.042 (0.273) Loss 2.4314 (2.5613) Prec@1 48.047 (43.857) Prec@5 70.703 (68.963)
Test: [20/196] Time 0.042 (0.251) Loss 2.4280 (2.5653) Prec@1 49.219 (43.638) Prec@5 73.047 (69.048)
Test: [30/196] Time 0.044 (0.207) Loss 2.4836 (2.5710) Prec@1 44.922 (43.385) Prec@5 71.484 (68.952)
Test: [40/196] Time 0.343 (0.204) Loss 2.3221 (2.5658) Prec@1 49.609 (43.636) Prec@5 72.266 (69.112)
Test: [50/196] Time 0.044 (0.201) Loss 2.6545 (2.5665) Prec@1 42.188 (43.658) Prec@5 69.531 (69.187)
Test: [60/196] Time 0.409 (0.195) Loss 2.5074 (2.5528) Prec@1 44.922 (43.987) Prec@5 69.531 (69.365)
Test: [70/196] Time 0.104 (0.186) Loss 2.4635 (2.5471) Prec@1 44.531 (44.086) Prec@5 71.875 (69.366)
Test: [80/196] Time 0.222 (0.187) Loss 2.4157 (2.5530) Prec@1 53.125 (44.145) Prec@5 76.562 (69.319)
Test: [90/196] Time 0.161 (0.186) Loss 2.6122 (2.5564) Prec@1 46.484 (44.072) Prec@5 68.750 (69.282)
Test: [100/196] Time 0.454 (0.186) Loss 2.5841 (2.5535) Prec@1 46.875 (44.280) Prec@5 66.406 (69.353)
Test: [110/196] Time 0.044 (0.186) Loss 2.7274 (2.5539) Prec@1 41.016 (44.243) Prec@5 66.797 (69.443)
Test: [120/196] Time 0.143 (0.183) Loss 2.3956 (2.5515) Prec@1 44.141 (44.302) Prec@5 71.875 (69.418)
Test: [130/196] Time 0.044 (0.183) Loss 2.2334 (2.5486) Prec@1 47.656 (44.379) Prec@5 76.172 (69.490)
Test: [140/196] Time 0.046 (0.183) Loss 2.3421 (2.5510) Prec@1 50.391 (44.323) Prec@5 73.047 (69.420)
Test: [150/196] Time 0.419 (0.184) Loss 2.2296 (2.5518) Prec@1 47.656 (44.273) Prec@5 76.172 (69.412)
Test: [160/196] Time 0.501 (0.184) Loss 2.5215 (2.5500) Prec@1 49.609 (44.342) Prec@5 66.797 (69.381)
Test: [170/196] Time 0.045 (0.179) Loss 2.4791 (2.5518) Prec@1 46.484 (44.317) Prec@5 71.484 (69.369)
Test: [180/196] Time 0.459 (0.182) Loss 2.7336 (2.5560) Prec@1 41.406 (44.251) Prec@5 65.625 (69.302)
Test: [190/196] Time 0.041 (0.181) Loss 2.7652 (2.5595) Prec@1 40.625 (44.134) Prec@5 65.625 (69.155)
* Prec@1 44.142 Prec@5 69.170
Learning rate: 1e-05
Epoch: [58][0/5005] Time 1.052 (1.052) Data 0.932 (0.932) Loss 2.2044 (2.2044) Prec@1 48.047 (48.047) Prec@5 77.344 (77.344)
Epoch: [58][10/5005] Time 0.202 (0.287) Data 0.047 (0.130) Loss 2.3581 (2.3173) Prec@1 48.438 (46.591) Prec@5 69.531 (72.479)
Epoch: [58][20/5005] Time 0.201 (0.246) Data 0.047 (0.092) Loss 2.4387 (2.3142) Prec@1 43.750 (46.522) Prec@5 71.875 (72.377)
Epoch: [58][30/5005] Time 0.202 (0.232) Data 0.058 (0.078) Loss 2.1305 (2.2773) Prec@1 53.125 (47.555) Prec@5 74.219 (72.807)
Epoch: [58][40/5005] Time 0.202 (0.225) Data 0.041 (0.071) Loss 2.2468 (2.2834) Prec@1 48.438 (47.466) Prec@5 73.828 (72.704)
Epoch: [58][50/5005] Time 0.204 (0.221) Data 0.048 (0.066) Loss 2.1107 (2.2765) Prec@1 49.609 (47.518) Prec@5 76.953 (72.894)
Epoch: [58][60/5005] Time 0.205 (0.218) Data 0.046 (0.063) Loss 2.0699 (2.2806) Prec@1 48.438 (47.445) Prec@5 76.172 (72.791)
Epoch: [58][70/5005] Time 0.206 (0.216) Data 0.041 (0.061) Loss 2.2853 (2.2916) Prec@1 45.703 (47.398) Prec@5 71.875 (72.777)
Epoch: [58][80/5005] Time 0.199 (0.214) Data 0.062 (0.059) Loss 2.1339 (2.2853) Prec@1 51.172 (47.357) Prec@5 76.172 (72.950)
Epoch: [58][90/5005] Time 0.208 (0.213) Data 0.046 (0.058) Loss 2.1831 (2.2807) Prec@1 51.562 (47.540) Prec@5 76.172 (73.025)
Epoch: [58][100/5005] Time 0.195 (0.211) Data 0.044 (0.057) Loss 2.1959 (2.2851) Prec@1 47.656 (47.447) Prec@5 75.781 (72.942)
Epoch: [58][110/5005] Time 0.202 (0.210) Data 0.051 (0.056) Loss 2.3926 (2.2886) Prec@1 50.000 (47.547) Prec@5 70.703 (72.962)
Epoch: [58][120/5005] Time 0.206 (0.210) Data 0.044 (0.056) Loss 2.3761 (2.2913) Prec@1 47.266 (47.540) Prec@5 70.312 (72.866)
Epoch: [58][130/5005] Time 0.193 (0.209) Data 0.051 (0.055) Loss 2.4317 (2.2935) Prec@1 44.922 (47.504) Prec@5 67.578 (72.776)
Epoch: [58][140/5005] Time 0.205 (0.209) Data 0.043 (0.054) Loss 2.2897 (2.2922) Prec@1 45.703 (47.473) Prec@5 75.391 (72.814)
Epoch: [58][150/5005] Time 0.205 (0.209) Data 0.046 (0.054) Loss 2.3926 (2.2922) Prec@1 45.703 (47.524) Prec@5 69.922 (72.868)
Epoch: [58][160/5005] Time 0.208 (0.209) Data 0.043 (0.053) Loss 2.2123 (2.2942) Prec@1 48.047 (47.445) Prec@5 73.438 (72.850)
Epoch: [58][170/5005] Time 0.224 (0.209) Data 0.042 (0.053) Loss 2.4563 (2.2957) Prec@1 49.219 (47.489) Prec@5 70.703 (72.837)
Epoch: [58][180/5005] Time 0.229 (0.210) Data 0.050 (0.052) Loss 2.4837 (2.2954) Prec@1 46.094 (47.538) Prec@5 67.188 (72.803)
Epoch: [58][190/5005] Time 0.219 (0.210) Data 0.050 (0.053) Loss 2.3663 (2.2993) Prec@1 48.438 (47.460) Prec@5 69.141 (72.687)
Epoch: [58][200/5005] Time 0.232 (0.211) Data 0.046 (0.052) Loss 2.5805 (2.3016) Prec@1 41.797 (47.417) Prec@5 67.578 (72.683)
Epoch: [58][210/5005] Time 0.220 (0.211) Data 0.045 (0.052) Loss 2.0035 (2.2990) Prec@1 55.469 (47.475) Prec@5 76.953 (72.703)
Epoch: [58][220/5005] Time 0.222 (0.211) Data 0.042 (0.052) Loss 2.3104 (2.2985) Prec@1 43.750 (47.464) Prec@5 71.094 (72.692)
Epoch: [58][230/5005] Time 0.215 (0.212) Data 0.044 (0.052) Loss 2.2859 (2.2979) Prec@1 51.953 (47.513) Prec@5 73.438 (72.742)
Epoch: [58][240/5005] Time 0.221 (0.212) Data 0.042 (0.051) Loss 2.2367 (2.2983) Prec@1 46.875 (47.523) Prec@5 71.875 (72.719)
Epoch: [58][250/5005] Time 0.216 (0.212) Data 0.058 (0.051) Loss 2.3102 (2.2963) Prec@1 46.094 (47.560) Prec@5 71.484 (72.754)
Epoch: [58][260/5005] Time 0.224 (0.213) Data 0.041 (0.051) Loss 2.1429 (2.2951) Prec@1 49.219 (47.593) Prec@5 75.391 (72.763)
Epoch: [58][270/5005] Time 0.221 (0.213) Data 0.040 (0.051) Loss 2.3705 (2.2960) Prec@1 45.312 (47.545) Prec@5 69.922 (72.733)
Epoch: [58][280/5005] Time 0.209 (0.213) Data 0.040 (0.051) Loss 2.6605 (2.2982) Prec@1 40.625 (47.444) Prec@5 66.016 (72.699)
Epoch: [58][290/5005] Time 0.220 (0.213) Data 0.043 (0.050) Loss 2.2898 (2.3005) Prec@1 48.047 (47.372) Prec@5 73.047 (72.635)
Epoch: [58][300/5005] Time 0.213 (0.213) Data 0.042 (0.050) Loss 2.0855 (2.2999) Prec@1 48.047 (47.376) Prec@5 74.219 (72.646)
Epoch: [58][310/5005] Time 0.214 (0.213) Data 0.042 (0.050) Loss 2.1706 (2.2968) Prec@1 49.219 (47.423) Prec@5 75.000 (72.688)
Epoch: [58][320/5005] Time 0.218 (0.213) Data 0.051 (0.050) Loss 2.5478 (2.2978) Prec@1 44.922 (47.423) Prec@5 70.312 (72.713)
Epoch: [58][330/5005] Time 0.211 (0.213) Data 0.052 (0.050) Loss 1.9233 (2.2957) Prec@1 51.953 (47.452) Prec@5 80.859 (72.767)
Epoch: [58][340/5005] Time 0.199 (0.213) Data 0.045 (0.050) Loss 2.3061 (2.2996) Prec@1 43.750 (47.392) Prec@5 74.609 (72.726)
Epoch: [58][350/5005] Time 0.217 (0.213) Data 0.043 (0.050) Loss 2.5394 (2.2987) Prec@1 44.531 (47.398) Prec@5 70.312 (72.737)
Epoch: [58][360/5005] Time 0.211 (0.213) Data 0.050 (0.050) Loss 2.3763 (2.3002) Prec@1 44.531 (47.382) Prec@5 70.312 (72.693)
Epoch: [58][370/5005] Time 0.214 (0.213) Data 0.045 (0.050) Loss 2.3994 (2.2988) Prec@1 43.359 (47.385) Prec@5 72.266 (72.716)
Epoch: [58][380/5005] Time 0.217 (0.214) Data 0.043 (0.050) Loss 2.3932 (2.2987) Prec@1 45.312 (47.385) Prec@5 71.484 (72.699)
Epoch: [58][390/5005] Time 0.214 (0.214) Data 0.043 (0.050) Loss 2.2244 (2.2992) Prec@1 48.438 (47.355) Prec@5 73.438 (72.697)
Epoch: [58][400/5005] Time 0.221 (0.214) Data 0.052 (0.049) Loss 2.2113 (2.2971) Prec@1 48.438 (47.396) Prec@5 73.438 (72.723)
Epoch: [58][410/5005] Time 0.220 (0.214) Data 0.051 (0.050) Loss 2.0600 (2.2960) Prec@1 48.047 (47.412) Prec@5 77.734 (72.741)
Epoch: [58][420/5005] Time 0.212 (0.214) Data 0.041 (0.050) Loss 2.2935 (2.2964) Prec@1 47.266 (47.431) Prec@5 74.609 (72.746)
Epoch: [58][430/5005] Time 0.214 (0.214) Data 0.046 (0.050) Loss 2.2174 (2.2948) Prec@1 48.438 (47.441) Prec@5 76.562 (72.798)
Epoch: [58][440/5005] Time 0.212 (0.214) Data 0.043 (0.049) Loss 2.0762 (2.2933) Prec@1 54.297 (47.447) Prec@5 75.391 (72.841)
Epoch: [58][450/5005] Time 0.211 (0.214) Data 0.048 (0.049) Loss 2.1461 (2.2943) Prec@1 47.266 (47.421) Prec@5 73.828 (72.806)
Epoch: [58][460/5005] Time 0.212 (0.214) Data 0.043 (0.050) Loss 2.2179 (2.2949) Prec@1 49.609 (47.406) Prec@5 74.219 (72.789)
Epoch: [58][470/5005] Time 0.212 (0.214) Data 0.045 (0.050) Loss 2.3464 (2.2967) Prec@1 45.703 (47.388) Prec@5 70.703 (72.748)
Epoch: [58][480/5005] Time 0.221 (0.214) Data 0.049 (0.050) Loss 2.2520 (2.2966) Prec@1 49.219 (47.405) Prec@5 70.312 (72.743)
Epoch: [58][490/5005] Time 0.212 (0.214) Data 0.045 (0.049) Loss 2.2245 (2.2964) Prec@1 50.000 (47.400) Prec@5 76.562 (72.747)
Epoch: [58][500/5005] Time 0.206 (0.214) Data 0.051 (0.049) Loss 2.4399 (2.2978) Prec@1 43.750 (47.407) Prec@5 70.703 (72.737)
Epoch: [58][510/5005] Time 0.212 (0.214) Data 0.041 (0.049) Loss 2.5882 (2.2985) Prec@1 40.625 (47.404) Prec@5 68.750 (72.724)
Epoch: [58][520/5005] Time 0.219 (0.214) Data 0.046 (0.049) Loss 2.4499 (2.2982) Prec@1 44.922 (47.423) Prec@5 71.094 (72.724)
Epoch: [58][530/5005] Time 0.213 (0.214) Data 0.046 (0.050) Loss 2.2206 (2.2977) Prec@1 47.266 (47.436) Prec@5 73.047 (72.726)
Epoch: [58][540/5005] Time 0.207 (0.214) Data 0.045 (0.050) Loss 2.3553 (2.2981) Prec@1 42.578 (47.427) Prec@5 71.875 (72.725)
Epoch: [58][550/5005] Time 0.214 (0.214) Data 0.048 (0.049) Loss 2.2131 (2.2970) Prec@1 49.609 (47.445) Prec@5 75.781 (72.746)
Epoch: [58][560/5005] Time 0.220 (0.214) Data 0.048 (0.049) Loss 2.3785 (2.2969) Prec@1 49.609 (47.456) Prec@5 72.656 (72.763)
Epoch: [58][570/5005] Time 0.213 (0.214) Data 0.052 (0.049) Loss 2.3643 (2.2974) Prec@1 45.703 (47.430) Prec@5 71.484 (72.759)
Epoch: [58][580/5005] Time 0.204 (0.214) Data 0.052 (0.049) Loss 2.3568 (2.2965) Prec@1 44.141 (47.438) Prec@5 71.484 (72.768)
Epoch: [58][590/5005] Time 0.210 (0.214) Data 0.045 (0.049) Loss 2.5319 (2.2970) Prec@1 41.406 (47.418) Prec@5 68.359 (72.742)
Epoch: [58][600/5005] Time 0.216 (0.214) Data 0.044 (0.049) Loss 2.2504 (2.2977) Prec@1 48.438 (47.414) Prec@5 74.219 (72.741)
Epoch: [58][610/5005] Time 0.213 (0.214) Data 0.045 (0.049) Loss 2.2466 (2.2974) Prec@1 43.750 (47.394) Prec@5 74.609 (72.767)
Epoch: [58][620/5005] Time 0.213 (0.214) Data 0.053 (0.049) Loss 2.2947 (2.2972) Prec@1 48.438 (47.418) Prec@5 73.047 (72.770)
Epoch: [58][630/5005] Time 0.215 (0.214) Data 0.051 (0.049) Loss 2.4879 (2.2970) Prec@1 45.312 (47.428) Prec@5 70.312 (72.773)
Epoch: [58][640/5005] Time 0.215 (0.214) Data 0.041 (0.049) Loss 2.2014 (2.2969) Prec@1 49.609 (47.419) Prec@5 71.875 (72.776)
Epoch: [58][650/5005] Time 0.218 (0.214) Data 0.042 (0.049) Loss 2.5656 (2.2981) Prec@1 39.844 (47.394) Prec@5 65.234 (72.756)
Epoch: [58][660/5005] Time 0.213 (0.214) Data 0.045 (0.049) Loss 2.4715 (2.2978) Prec@1 42.188 (47.396) Prec@5 69.141 (72.762)
Epoch: [58][670/5005] Time 0.217 (0.214) Data 0.044 (0.049) Loss 2.5635 (2.2981) Prec@1 40.625 (47.394) Prec@5 67.188 (72.755)
Epoch: [58][680/5005] Time 0.213 (0.214) Data 0.043 (0.049) Loss 2.2496 (2.2983) Prec@1 50.391 (47.380) Prec@5 74.609 (72.755)
Epoch: [58][690/5005] Time 0.216 (0.214) Data 0.043 (0.049) Loss 2.2316 (2.2983) Prec@1 48.438 (47.375) Prec@5 78.516 (72.761)
Epoch: [58][700/5005] Time 0.217 (0.214) Data 0.045 (0.049) Loss 2.2915 (2.2980) Prec@1 46.484 (47.382) Prec@5 71.094 (72.750)
Epoch: [58][710/5005] Time 0.217 (0.214) Data 0.044 (0.049) Loss 1.9961 (2.2974) Prec@1 50.391 (47.395) Prec@5 78.516 (72.762)
Epoch: [58][720/5005] Time 0.205 (0.214) Data 0.048 (0.049) Loss 2.1864 (2.2971) Prec@1 50.391 (47.395) Prec@5 76.562 (72.766)
Epoch: [58][730/5005] Time 0.216 (0.214) Data 0.044 (0.049) Loss 2.5502 (2.2977) Prec@1 44.531 (47.389) Prec@5 71.094 (72.760)
Epoch: [58][740/5005] Time 0.209 (0.214) Data 0.047 (0.049) Loss 2.3406 (2.2975) Prec@1 45.703 (47.403) Prec@5 71.875 (72.761)
Epoch: [58][750/5005] Time 0.214 (0.214) Data 0.044 (0.048) Loss 2.3002 (2.2974) Prec@1 50.391 (47.400) Prec@5 70.312 (72.761)
Epoch: [58][760/5005] Time 0.217 (0.214) Data 0.045 (0.048) Loss 2.3187 (2.2976) Prec@1 46.875 (47.411) Prec@5 72.656 (72.756)
Epoch: [58][770/5005] Time 0.212 (0.214) Data 0.042 (0.048) Loss 2.2815 (2.2964) Prec@1 46.484 (47.437) Prec@5 69.141 (72.773)
Epoch: [58][780/5005] Time 0.204 (0.214) Data 0.057 (0.049) Loss 2.3732 (2.2962) Prec@1 44.922 (47.439) Prec@5 71.094 (72.773)
Epoch: [58][790/5005] Time 0.207 (0.214) Data 0.058 (0.049) Loss 2.3076 (2.2958) Prec@1 46.875 (47.444) Prec@5 71.875 (72.782)
Epoch: [58][800/5005] Time 0.215 (0.214) Data 0.042 (0.049) Loss 2.1583 (2.2951) Prec@1 51.172 (47.474) Prec@5 75.391 (72.799)
Epoch: [58][810/5005] Time 0.214 (0.214) Data 0.042 (0.049) Loss 2.3515 (2.2948) Prec@1 45.703 (47.469) Prec@5 66.406 (72.807)
Epoch: [58][820/5005] Time 0.217 (0.214) Data 0.042 (0.048) Loss 2.3106 (2.2952) Prec@1 46.484 (47.460) Prec@5 74.219 (72.816)
Epoch: [58][830/5005] Time 0.213 (0.214) Data 0.044 (0.048) Loss 2.2719 (2.2951) Prec@1 46.094 (47.461) Prec@5 73.047 (72.809)
Epoch: [58][840/5005] Time 0.204 (0.214) Data 0.045 (0.048) Loss 2.2782 (2.2948) Prec@1 50.781 (47.476) Prec@5 71.484 (72.824)
Epoch: [58][850/5005] Time 0.221 (0.214) Data 0.043 (0.048) Loss 2.4196 (2.2944) Prec@1 44.141 (47.496) Prec@5 70.703 (72.828)
Epoch: [58][860/5005] Time 0.210 (0.214) Data 0.049 (0.048) Loss 2.3692 (2.2945) Prec@1 49.219 (47.496) Prec@5 68.359 (72.821)
Epoch: [58][870/5005] Time 0.218 (0.213) Data 0.044 (0.048) Loss 2.2276 (2.2936) Prec@1 48.438 (47.519) Prec@5 70.703 (72.822)
Epoch: [58][880/5005] Time 0.217 (0.213) Data 0.041 (0.048) Loss 2.1129 (2.2938) Prec@1 49.219 (47.526) Prec@5 75.391 (72.819)
Epoch: [58][890/5005] Time 0.214 (0.213) Data 0.043 (0.048) Loss 2.4527 (2.2933) Prec@1 44.922 (47.531) Prec@5 69.922 (72.808)
Epoch: [58][900/5005] Time 0.210 (0.213) Data 0.046 (0.048) Loss 2.2103 (2.2931) Prec@1 46.875 (47.528) Prec@5 76.953 (72.820)
Epoch: [58][910/5005] Time 0.216 (0.213) Data 0.048 (0.048) Loss 2.3330 (2.2928) Prec@1 44.141 (47.530) Prec@5 75.000 (72.819)
Epoch: [58][920/5005] Time 0.209 (0.213) Data 0.050 (0.048) Loss 2.1962 (2.2920) Prec@1 49.219 (47.546) Prec@5 75.391 (72.836)
Epoch: [58][930/5005] Time 0.213 (0.213) Data 0.051 (0.048) Loss 2.2341 (2.2915) Prec@1 51.953 (47.548) Prec@5 73.047 (72.843)
Epoch: [58][940/5005] Time 0.192 (0.213) Data 0.060 (0.048) Loss 2.1244 (2.2914) Prec@1 49.609 (47.541) Prec@5 75.781 (72.850)
Epoch: [58][950/5005] Time 0.218 (0.213) Data 0.042 (0.048) Loss 2.3742 (2.2921) Prec@1 46.875 (47.533) Prec@5 71.875 (72.841)
Epoch: [58][960/5005] Time 0.209 (0.213) Data 0.058 (0.048) Loss 2.4770 (2.2924) Prec@1 46.875 (47.528) Prec@5 67.578 (72.838)
Epoch: [58][970/5005] Time 0.212 (0.213) Data 0.045 (0.048) Loss 2.0673 (2.2922) Prec@1 51.172 (47.532) Prec@5 78.906 (72.845)
Epoch: [58][980/5005] Time 0.215 (0.213) Data 0.040 (0.048) Loss 2.2167 (2.2913) Prec@1 48.047 (47.548) Prec@5 74.219 (72.863)
Epoch: [58][990/5005] Time 0.213 (0.213) Data 0.044 (0.048) Loss 2.4099 (2.2917) Prec@1 43.750 (47.533) Prec@5 72.266 (72.851)
Epoch: [58][1000/5005] Time 0.210 (0.213) Data 0.048 (0.048) Loss 2.3137 (2.2917) Prec@1 45.312 (47.534) Prec@5 77.344 (72.854)
Epoch: [58][1010/5005] Time 0.214 (0.213) Data 0.043 (0.048) Loss 2.2895 (2.2914) Prec@1 46.094 (47.547) Prec@5 73.438 (72.861)
Epoch: [58][1020/5005] Time 0.209 (0.213) Data 0.049 (0.048) Loss 2.1914 (2.2919) Prec@1 50.391 (47.540) Prec@5 75.781 (72.847)
Epoch: [58][1030/5005] Time 0.215 (0.213) Data 0.042 (0.048) Loss 2.1989 (2.2914) Prec@1 47.656 (47.551) Prec@5 74.219 (72.848)
Epoch: [58][1040/5005] Time 0.206 (0.214) Data 0.050 (0.048) Loss 2.3195 (2.2916) Prec@1 46.484 (47.558) Prec@5 74.219 (72.843)
Epoch: [58][1050/5005] Time 0.202 (0.214) Data 0.052 (0.048) Loss 2.3707 (2.2915) Prec@1 47.656 (47.558) Prec@5 70.703 (72.839)
Epoch: [58][1060/5005] Time 0.210 (0.214) Data 0.043 (0.048) Loss 2.3861 (2.2919) Prec@1 46.875 (47.558) Prec@5 70.703 (72.837)
Epoch: [58][1070/5005] Time 0.208 (0.214) Data 0.057 (0.048) Loss 2.2914 (2.2923) Prec@1 48.438 (47.557) Prec@5 72.656 (72.827)
Epoch: [58][1080/5005] Time 0.223 (0.214) Data 0.046 (0.048) Loss 2.3890 (2.2929) Prec@1 45.312 (47.550) Prec@5 68.750 (72.814)
Epoch: [58][1090/5005] Time 0.210 (0.214) Data 0.050 (0.048) Loss 2.0991 (2.2922) Prec@1 46.875 (47.553) Prec@5 75.781 (72.828)
Epoch: [58][1100/5005] Time 0.216 (0.214) Data 0.046 (0.048) Loss 2.1379 (2.2920) Prec@1 54.297 (47.567) Prec@5 76.562 (72.836)
Epoch: [58][1110/5005] Time 0.215 (0.214) Data 0.045 (0.048) Loss 2.4019 (2.2919) Prec@1 42.188 (47.566) Prec@5 71.094 (72.836)
Epoch: [58][1120/5005] Time 0.208 (0.214) Data 0.042 (0.048) Loss 2.2640 (2.2911) Prec@1 49.219 (47.576) Prec@5 71.875 (72.854)
Epoch: [58][1130/5005] Time 0.214 (0.214) Data 0.042 (0.048) Loss 2.4260 (2.2916) Prec@1 44.922 (47.567) Prec@5 72.266 (72.848)
Epoch: [58][1140/5005] Time 0.220 (0.214) Data 0.044 (0.048) Loss 2.3817 (2.2915) Prec@1 48.828 (47.574) Prec@5 71.094 (72.853)
Epoch: [58][1150/5005] Time 0.212 (0.214) Data 0.042 (0.048) Loss 2.2535 (2.2913) Prec@1 42.969 (47.579) Prec@5 71.484 (72.861)
Epoch: [58][1160/5005] Time 0.210 (0.214) Data 0.048 (0.048) Loss 2.3906 (2.2909) Prec@1 48.047 (47.587) Prec@5 69.531 (72.860)
Epoch: [58][1170/5005] Time 0.203 (0.214) Data 0.043 (0.048) Loss 2.1958 (2.2907) Prec@1 49.219 (47.585) Prec@5 73.828 (72.861)
Epoch: [58][1180/5005] Time 0.210 (0.214) Data 0.042 (0.048) Loss 2.3104 (2.2905) Prec@1 47.266 (47.577) Prec@5 73.438 (72.859)
Epoch: [58][1190/5005] Time 0.211 (0.214) Data 0.068 (0.048) Loss 2.1336 (2.2902) Prec@1 48.047 (47.587) Prec@5 76.562 (72.864)
Epoch: [58][1200/5005] Time 0.217 (0.214) Data 0.044 (0.048) Loss 2.4806 (2.2905) Prec@1 44.141 (47.577) Prec@5 69.531 (72.857)
Epoch: [58][1210/5005] Time 0.209 (0.214) Data 0.047 (0.048) Loss 2.3201 (2.2911) Prec@1 46.484 (47.574) Prec@5 73.438 (72.846)
Epoch: [58][1220/5005] Time 0.217 (0.213) Data 0.046 (0.048) Loss 2.2128 (2.2910) Prec@1 48.438 (47.583) Prec@5 73.828 (72.853)
Epoch: [58][1230/5005] Time 0.212 (0.213) Data 0.046 (0.048) Loss 2.2175 (2.2911) Prec@1 46.484 (47.570) Prec@5 73.828 (72.854)
Epoch: [58][1240/5005] Time 0.211 (0.213) Data 0.044 (0.048) Loss 2.4442 (2.2913) Prec@1 45.703 (47.567) Prec@5 70.312 (72.846)
Epoch: [58][1250/5005] Time 0.197 (0.213) Data 0.048 (0.048) Loss 2.5265 (2.2917) Prec@1 43.359 (47.560) Prec@5 66.406 (72.833)
Epoch: [58][1260/5005] Time 0.212 (0.213) Data 0.052 (0.048) Loss 2.0996 (2.2914) Prec@1 50.000 (47.552) Prec@5 74.219 (72.841)
Epoch: [58][1270/5005] Time 0.210 (0.213) Data 0.043 (0.048) Loss 2.3974 (2.2922) Prec@1 44.531 (47.541) Prec@5 70.312 (72.828)
Epoch: [58][1280/5005] Time 0.198 (0.213) Data 0.043 (0.048) Loss 2.2628 (2.2923) Prec@1 46.875 (47.547) Prec@5 73.047 (72.828)
Epoch: [58][1290/5005] Time 0.208 (0.213) Data 0.061 (0.048) Loss 2.0603 (2.2920) Prec@1 51.172 (47.553) Prec@5 75.781 (72.829)
Epoch: [58][1300/5005] Time 0.214 (0.213) Data 0.042 (0.048) Loss 2.1869 (2.2921) Prec@1 49.609 (47.557) Prec@5 74.609 (72.825)
Epoch: [58][1310/5005] Time 0.210 (0.213) Data 0.042 (0.048) Loss 2.3446 (2.2922) Prec@1 44.141 (47.556) Prec@5 71.875 (72.821)
Epoch: [58][1320/5005] Time 0.209 (0.213) Data 0.046 (0.048) Loss 2.3177 (2.2919) Prec@1 51.562 (47.567) Prec@5 75.000 (72.826)
Epoch: [58][1330/5005] Time 0.203 (0.213) Data 0.043 (0.048) Loss 2.3714 (2.2921) Prec@1 47.266 (47.569) Prec@5 72.656 (72.820)
Epoch: [58][1340/5005] Time 0.212 (0.213) Data 0.045 (0.048) Loss 2.2887 (2.2920) Prec@1 48.438 (47.567) Prec@5 72.656 (72.814)
Epoch: [58][1350/5005] Time 0.206 (0.213) Data 0.048 (0.048) Loss 2.7093 (2.2925) Prec@1 38.281 (47.551) Prec@5 69.141 (72.810)
Epoch: [58][1360/5005] Time 0.213 (0.213) Data 0.042 (0.048) Loss 2.2643 (2.2926) Prec@1 50.781 (47.552) Prec@5 74.609 (72.804)
Epoch: [58][1370/5005] Time 0.209 (0.213) Data 0.042 (0.048) Loss 2.3623 (2.2922) Prec@1 48.828 (47.559) Prec@5 71.484 (72.813)
Epoch: [58][1380/5005] Time 0.216 (0.213) Data 0.044 (0.048) Loss 2.3435 (2.2922) Prec@1 48.047 (47.562) Prec@5 75.391 (72.811)
Epoch: [58][1390/5005] Time 0.215 (0.213) Data 0.044 (0.048) Loss 2.2401 (2.2922) Prec@1 49.609 (47.563) Prec@5 74.219 (72.814)
Epoch: [58][1400/5005] Time 0.208 (0.213) Data 0.042 (0.048) Loss 2.2735 (2.2915) Prec@1 51.172 (47.572) Prec@5 75.781 (72.831)
Epoch: [58][1410/5005] Time 0.209 (0.213) Data 0.045 (0.048) Loss 2.2532 (2.2913) Prec@1 48.438 (47.569) Prec@5 73.047 (72.830)
Epoch: [58][1420/5005] Time 0.215 (0.213) Data 0.042 (0.048) Loss 2.5480 (2.2914) Prec@1 42.188 (47.572) Prec@5 66.797 (72.824)
Epoch: [58][1430/5005] Time 0.206 (0.213) Data 0.044 (0.048) Loss 1.9918 (2.2910) Prec@1 52.734 (47.583) Prec@5 76.953 (72.831)
Epoch: [58][1440/5005] Time 0.213 (0.213) Data 0.045 (0.048) Loss 2.1685 (2.2909) Prec@1 50.000 (47.574) Prec@5 74.219 (72.837)
Epoch: [58][1450/5005] Time 0.204 (0.213) Data 0.049 (0.048) Loss 2.3076 (2.2909) Prec@1 48.047 (47.573) Prec@5 73.438 (72.839)
Epoch: [58][1460/5005] Time 0.205 (0.213) Data 0.045 (0.048) Loss 2.3431 (2.2907) Prec@1 43.359 (47.574) Prec@5 73.047 (72.844)
Epoch: [58][1470/5005] Time 0.211 (0.213) Data 0.047 (0.048) Loss 2.3460 (2.2910) Prec@1 49.609 (47.570) Prec@5 71.484 (72.839)
Epoch: [58][1480/5005] Time 0.211 (0.213) Data 0.045 (0.048) Loss 2.1475 (2.2912) Prec@1 51.562 (47.570) Prec@5 76.172 (72.834)
Epoch: [58][1490/5005] Time 0.208 (0.213) Data 0.047 (0.048) Loss 2.5473 (2.2911) Prec@1 42.969 (47.567) Prec@5 71.484 (72.838)
Epoch: [58][1500/5005] Time 0.209 (0.213) Data 0.043 (0.048) Loss 2.2473 (2.2909) Prec@1 48.047 (47.574) Prec@5 68.750 (72.845)
Epoch: [58][1510/5005] Time 0.204 (0.213) Data 0.044 (0.048) Loss 2.1114 (2.2908) Prec@1 49.609 (47.575) Prec@5 78.906 (72.851)
Epoch: [58][1520/5005] Time 0.217 (0.213) Data 0.043 (0.048) Loss 2.3153 (2.2905) Prec@1 46.484 (47.576) Prec@5 72.656 (72.855)
Epoch: [58][1530/5005] Time 0.213 (0.213) Data 0.042 (0.048) Loss 2.5042 (2.2905) Prec@1 42.578 (47.580) Prec@5 68.750 (72.847)
Epoch: [58][1540/5005] Time 0.211 (0.213) Data 0.048 (0.048) Loss 2.3801 (2.2908) Prec@1 45.312 (47.576) Prec@5 70.312 (72.841)
Epoch: [58][1550/5005] Time 0.203 (0.213) Data 0.045 (0.048) Loss 2.1066 (2.2905) Prec@1 50.781 (47.577) Prec@5 79.688 (72.847)
Epoch: [58][1560/5005] Time 0.197 (0.213) Data 0.042 (0.048) Loss 2.1739 (2.2908) Prec@1 44.922 (47.571) Prec@5 73.438 (72.843)
Epoch: [58][1570/5005] Time 0.204 (0.213) Data 0.067 (0.048) Loss 2.0612 (2.2902) Prec@1 50.781 (47.579) Prec@5 76.953 (72.850)
Epoch: [58][1580/5005] Time 0.208 (0.213) Data 0.053 (0.048) Loss 2.3201 (2.2906) Prec@1 47.656 (47.574) Prec@5 74.219 (72.847)
Epoch: [58][1590/5005] Time 0.202 (0.213) Data 0.046 (0.048) Loss 2.2372 (2.2907) Prec@1 51.562 (47.568) Prec@5 71.875 (72.844)
Epoch: [58][1600/5005] Time 0.211 (0.213) Data 0.043 (0.048) Loss 2.3359 (2.2906) Prec@1 46.094 (47.570) Prec@5 72.656 (72.852)
Epoch: [58][1610/5005] Time 0.211 (0.213) Data 0.043 (0.048) Loss 2.5187 (2.2904) Prec@1 45.703 (47.576) Prec@5 66.016 (72.850)
Epoch: [58][1620/5005] Time 0.203 (0.213) Data 0.040 (0.048) Loss 2.3008 (2.2901) Prec@1 48.828 (47.578) Prec@5 73.438 (72.860)
Epoch: [58][1630/5005] Time 0.210 (0.213) Data 0.047 (0.048) Loss 2.1701 (2.2899) Prec@1 48.828 (47.587) Prec@5 75.781 (72.862)
Epoch: [58][1640/5005] Time 0.216 (0.213) Data 0.042 (0.048) Loss 2.3279 (2.2902) Prec@1 48.047 (47.585) Prec@5 73.438 (72.859)
Epoch: [58][1650/5005] Time 0.221 (0.213) Data 0.041 (0.048) Loss 2.4850 (2.2902) Prec@1 46.484 (47.586) Prec@5 69.531 (72.858)
Epoch: [58][1660/5005] Time 0.215 (0.213) Data 0.044 (0.048) Loss 2.2369 (2.2897) Prec@1 47.266 (47.603) Prec@5 75.391 (72.867)
Epoch: [58][1670/5005] Time 0.204 (0.213) Data 0.047 (0.048) Loss 2.0273 (2.2897) Prec@1 52.734 (47.604) Prec@5 76.172 (72.870)
Epoch: [58][1680/5005] Time 0.205 (0.213) Data 0.047 (0.048) Loss 2.5187 (2.2901) Prec@1 46.484 (47.601) Prec@5 69.531 (72.866)
Epoch: [58][1690/5005] Time 0.205 (0.213) Data 0.045 (0.048) Loss 2.1571 (2.2898) Prec@1 48.828 (47.607) Prec@5 77.734 (72.871)
Epoch: [58][1700/5005] Time 0.211 (0.212) Data 0.050 (0.048) Loss 2.2998 (2.2894) Prec@1 45.312 (47.615) Prec@5 75.781 (72.878)
Epoch: [58][1710/5005] Time 0.206 (0.212) Data 0.048 (0.048) Loss 2.0773 (2.2891) Prec@1 52.344 (47.621) Prec@5 78.125 (72.880)
Epoch: [58][1720/5005] Time 0.212 (0.212) Data 0.043 (0.048) Loss 2.3152 (2.2890) Prec@1 49.219 (47.619) Prec@5 75.000 (72.886)
Epoch: [58][1730/5005] Time 0.213 (0.212) Data 0.044 (0.048) Loss 2.1588 (2.2889) Prec@1 50.391 (47.621) Prec@5 75.000 (72.893)
Epoch: [58][1740/5005] Time 0.213 (0.212) Data 0.044 (0.048) Loss 2.4495 (2.2886) Prec@1 41.406 (47.619) Prec@5 71.094 (72.900)
Epoch: [58][1750/5005] Time 0.205 (0.212) Data 0.043 (0.048) Loss 2.2813 (2.2884) Prec@1 45.312 (47.620) Prec@5 73.047 (72.909)
Epoch: [58][1760/5005] Time 0.203 (0.212) Data 0.044 (0.048) Loss 2.0121 (2.2883) Prec@1 52.344 (47.624) Prec@5 78.906 (72.909)
Epoch: [58][1770/5005] Time 0.208 (0.212) Data 0.046 (0.048) Loss 2.4324 (2.2882) Prec@1 41.016 (47.621) Prec@5 72.266 (72.911)
Epoch: [58][1780/5005] Time 0.208 (0.212) Data 0.043 (0.048) Loss 2.1968 (2.2882) Prec@1 48.828 (47.617) Prec@5 73.828 (72.908)
Epoch: [58][1790/5005] Time 0.212 (0.212) Data 0.049 (0.048) Loss 2.0874 (2.2879) Prec@1 53.516 (47.624) Prec@5 74.219 (72.908)
Epoch: [58][1800/5005] Time 0.205 (0.212) Data 0.044 (0.048) Loss 2.1254 (2.2878) Prec@1 49.219 (47.630) Prec@5 78.125 (72.912)
Epoch: [58][1810/5005] Time 0.204 (0.212) Data 0.044 (0.048) Loss 2.1681 (2.2876) Prec@1 51.953 (47.628) Prec@5 75.000 (72.914)
Epoch: [58][1820/5005] Time 0.206 (0.212) Data 0.055 (0.048) Loss 2.1298 (2.2876) Prec@1 51.172 (47.630) Prec@5 74.609 (72.913)
Epoch: [58][1830/5005] Time 0.222 (0.212) Data 0.044 (0.048) Loss 2.0629 (2.2869) Prec@1 51.562 (47.632) Prec@5 76.172 (72.920)
Epoch: [58][1840/5005] Time 0.215 (0.212) Data 0.045 (0.048) Loss 2.3740 (2.2868) Prec@1 45.703 (47.632) Prec@5 72.656 (72.919)
Epoch: [58][1850/5005] Time 0.210 (0.212) Data 0.048 (0.048) Loss 2.2714 (2.2867) Prec@1 49.609 (47.637) Prec@5 76.562 (72.925)
Epoch: [58][1860/5005] Time 0.209 (0.212) Data 0.046 (0.048) Loss 2.2549 (2.2867) Prec@1 49.219 (47.635) Prec@5 74.609 (72.925)
Epoch: [58][1870/5005] Time 0.202 (0.212) Data 0.048 (0.048) Loss 2.5053 (2.2872) Prec@1 41.797 (47.626) Prec@5 68.750 (72.919)
Epoch: [58][1880/5005] Time 0.203 (0.212) Data 0.051 (0.048) Loss 2.2744 (2.2873) Prec@1 46.875 (47.624) Prec@5 71.094 (72.919)
Epoch: [58][1890/5005] Time 0.209 (0.212) Data 0.047 (0.048) Loss 2.3150 (2.2872) Prec@1 44.531 (47.616) Prec@5 72.656 (72.920)
Epoch: [58][1900/5005] Time 0.211 (0.212) Data 0.042 (0.048) Loss 2.2248 (2.2875) Prec@1 48.047 (47.612) Prec@5 76.172 (72.918)
Epoch: [58][1910/5005] Time 0.203 (0.212) Data 0.057 (0.048) Loss 2.2927 (2.2876) Prec@1 46.094 (47.611) Prec@5 72.266 (72.912)
Epoch: [58][1920/5005] Time 0.210 (0.212) Data 0.042 (0.048) Loss 2.0983 (2.2873) Prec@1 48.828 (47.610) Prec@5 80.078 (72.921)
Epoch: [58][1930/5005] Time 0.210 (0.212) Data 0.044 (0.048) Loss 2.1436 (2.2870) Prec@1 51.172 (47.617) Prec@5 73.438 (72.927)
Epoch: [58][1940/5005] Time 0.213 (0.212) Data 0.042 (0.048) Loss 2.0769 (2.2867) Prec@1 50.781 (47.620) Prec@5 75.391 (72.935)
Epoch: [58][1950/5005] Time 0.219 (0.212) Data 0.049 (0.048) Loss 2.3790 (2.2868) Prec@1 44.922 (47.618) Prec@5 73.438 (72.937)
Epoch: [58][1960/5005] Time 0.216 (0.212) Data 0.047 (0.048) Loss 2.3087 (2.2867) Prec@1 43.750 (47.619) Prec@5 75.781 (72.940)
Epoch: [58][1970/5005] Time 0.217 (0.212) Data 0.044 (0.048) Loss 2.2352 (2.2866) Prec@1 46.094 (47.617) Prec@5 73.828 (72.942)
Epoch: [58][1980/5005] Time 0.212 (0.212) Data 0.044 (0.048) Loss 2.1000 (2.2864) Prec@1 52.734 (47.626) Prec@5 71.875 (72.944)
Epoch: [58][1990/5005] Time 0.202 (0.212) Data 0.047 (0.048) Loss 2.1720 (2.2861) Prec@1 48.438 (47.634) Prec@5 73.047 (72.941)
Epoch: [58][2000/5005] Time 0.204 (0.212) Data 0.057 (0.048) Loss 2.2525 (2.2865) Prec@1 48.047 (47.626) Prec@5 72.656 (72.938)
Epoch: [58][2010/5005] Time 0.203 (0.212) Data 0.047 (0.048) Loss 2.1596 (2.2865) Prec@1 50.391 (47.628) Prec@5 75.391 (72.941)
Epoch: [58][2020/5005] Time 0.203 (0.212) Data 0.041 (0.048) Loss 2.3402 (2.2865) Prec@1 46.094 (47.629) Prec@5 71.875 (72.939)
Epoch: [58][2030/5005] Time 0.205 (0.212) Data 0.047 (0.048) Loss 2.2579 (2.2866) Prec@1 47.266 (47.631) Prec@5 74.219 (72.940)
Epoch: [58][2040/5005] Time 0.205 (0.212) Data 0.043 (0.048) Loss 1.9785 (2.2863) Prec@1 53.906 (47.633) Prec@5 78.125 (72.947)
Epoch: [58][2050/5005] Time 0.205 (0.212) Data 0.052 (0.048) Loss 2.4510 (2.2862) Prec@1 49.219 (47.643) Prec@5 69.141 (72.949)
Epoch: [58][2060/5005] Time 0.208 (0.212) Data 0.049 (0.048) Loss 2.2564 (2.2860) Prec@1 46.875 (47.642) Prec@5 72.266 (72.951)
Epoch: [58][2070/5005] Time 0.211 (0.212) Data 0.042 (0.048) Loss 2.4938 (2.2863) Prec@1 46.484 (47.636) Prec@5 72.656 (72.946)
Epoch: [58][2080/5005] Time 0.211 (0.212) Data 0.047 (0.048) Loss 2.3109 (2.2862) Prec@1 47.266 (47.637) Prec@5 72.656 (72.946)
Epoch: [58][2090/5005] Time 0.202 (0.212) Data 0.047 (0.048) Loss 2.2115 (2.2859) Prec@1 47.656 (47.644) Prec@5 76.172 (72.950)
Epoch: [58][2100/5005] Time 0.201 (0.212) Data 0.044 (0.048) Loss 2.3614 (2.2858) Prec@1 47.266 (47.647) Prec@5 68.750 (72.950)
Epoch: [58][2110/5005] Time 0.211 (0.212) Data 0.042 (0.048) Loss 2.0485 (2.2856) Prec@1 50.781 (47.657) Prec@5 76.953 (72.951)
Epoch: [58][2120/5005] Time 0.208 (0.212) Data 0.047 (0.048) Loss 2.4237 (2.2855) Prec@1 46.484 (47.660) Prec@5 70.703 (72.952)
Epoch: [58][2130/5005] Time 0.197 (0.212) Data 0.049 (0.048) Loss 2.2901 (2.2851) Prec@1 47.656 (47.669) Prec@5 71.484 (72.962)
Epoch: [58][2140/5005] Time 0.208 (0.212) Data 0.048 (0.048) Loss 2.1177 (2.2850) Prec@1 48.438 (47.667) Prec@5 76.562 (72.959)
Epoch: [58][2150/5005] Time 0.207 (0.212) Data 0.044 (0.048) Loss 2.2051 (2.2850) Prec@1 48.438 (47.670) Prec@5 72.656 (72.960)
Epoch: [58][2160/5005] Time 0.212 (0.212) Data 0.048 (0.048) Loss 2.2054 (2.2849) Prec@1 50.781 (47.673) Prec@5 75.000 (72.964)
Epoch: [58][2170/5005] Time 0.214 (0.212) Data 0.052 (0.048) Loss 2.1126 (2.2846) Prec@1 51.953 (47.679) Prec@5 74.609 (72.972)
Epoch: [58][2180/5005] Time 0.200 (0.212) Data 0.045 (0.048) Loss 2.2430 (2.2845) Prec@1 52.734 (47.684) Prec@5 73.828 (72.980)
Epoch: [58][2190/5005] Time 0.202 (0.212) Data 0.047 (0.048) Loss 2.4611 (2.2847) Prec@1 43.750 (47.683) Prec@5 67.188 (72.971)
Epoch: [58][2200/5005] Time 0.208 (0.212) Data 0.047 (0.048) Loss 2.3055 (2.2848) Prec@1 46.875 (47.682) Prec@5 73.438 (72.969)
Epoch: [58][2210/5005] Time 0.219 (0.212) Data 0.043 (0.048) Loss 2.2913 (2.2851) Prec@1 47.656 (47.679) Prec@5 70.312 (72.966)
Epoch: [58][2220/5005] Time 0.207 (0.212) Data 0.039 (0.048) Loss 2.5307 (2.2851) Prec@1 44.531 (47.680) Prec@5 69.141 (72.965)
Epoch: [58][2230/5005] Time 0.203 (0.212) Data 0.042 (0.048) Loss 2.3475 (2.2851) Prec@1 51.172 (47.685) Prec@5 75.781 (72.964)
Epoch: [58][2240/5005] Time 0.207 (0.212) Data 0.058 (0.048) Loss 2.3029 (2.2852) Prec@1 47.266 (47.683) Prec@5 75.000 (72.966)
Epoch: [58][2250/5005] Time 0.210 (0.212) Data 0.044 (0.048) Loss 2.1069 (2.2853) Prec@1 50.781 (47.683) Prec@5 75.000 (72.962)
Epoch: [58][2260/5005] Time 0.199 (0.212) Data 0.042 (0.048) Loss 2.2373 (2.2851) Prec@1 46.875 (47.690) Prec@5 72.266 (72.964)
Epoch: [58][2270/5005] Time 0.193 (0.212) Data 0.063 (0.048) Loss 2.4552 (2.2849) Prec@1 44.531 (47.697) Prec@5 68.750 (72.966)
Epoch: [58][2280/5005] Time 0.205 (0.212) Data 0.057 (0.048) Loss 2.2820 (2.2849) Prec@1 49.609 (47.697) Prec@5 73.828 (72.971)
Epoch: [58][2290/5005] Time 0.200 (0.211) Data 0.050 (0.048) Loss 2.1551 (2.2848) Prec@1 51.953 (47.696) Prec@5 73.438 (72.974)
Epoch: [58][2300/5005] Time 0.215 (0.211) Data 0.046 (0.048) Loss 2.2714 (2.2849) Prec@1 50.000 (47.692) Prec@5 73.828 (72.971)
Epoch: [58][2310/5005] Time 0.219 (0.211) Data 0.046 (0.048) Loss 2.2096 (2.2848) Prec@1 50.391 (47.696) Prec@5 72.656 (72.973)
Epoch: [58][2320/5005] Time 0.209 (0.211) Data 0.040 (0.048) Loss 2.4231 (2.2847) Prec@1 47.266 (47.701) Prec@5 68.750 (72.974)
Epoch: [58][2330/5005] Time 0.209 (0.211) Data 0.042 (0.048) Loss 2.2562 (2.2845) Prec@1 49.609 (47.705) Prec@5 74.609 (72.976)
Epoch: [58][2340/5005] Time 0.212 (0.211) Data 0.057 (0.048) Loss 2.2642 (2.2844) Prec@1 48.047 (47.708) Prec@5 71.484 (72.981)
Epoch: [58][2350/5005] Time 0.212 (0.211) Data 0.040 (0.048) Loss 2.0738 (2.2840) Prec@1 50.391 (47.710) Prec@5 78.516 (72.985)
Epoch: [58][2360/5005] Time 0.202 (0.211) Data 0.057 (0.048) Loss 2.1998 (2.2841) Prec@1 48.047 (47.709) Prec@5 71.484 (72.982)
Epoch: [58][2370/5005] Time 0.199 (0.211) Data 0.050 (0.048) Loss 2.3580 (2.2842) Prec@1 43.359 (47.705) Prec@5 69.141 (72.977)
Epoch: [58][2380/5005] Time 0.211 (0.211) Data 0.050 (0.048) Loss 2.3097 (2.2839) Prec@1 48.047 (47.715) Prec@5 71.875 (72.983)
Epoch: [58][2390/5005] Time 0.207 (0.211) Data 0.048 (0.048) Loss 2.3389 (2.2837) Prec@1 48.438 (47.721) Prec@5 71.875 (72.986)
Epoch: [58][2400/5005] Time 0.210 (0.211) Data 0.045 (0.048) Loss 2.1646 (2.2835) Prec@1 50.781 (47.724) Prec@5 77.344 (72.990)
Epoch: [58][2410/5005] Time 0.213 (0.211) Data 0.043 (0.048) Loss 2.4503 (2.2836) Prec@1 46.875 (47.725) Prec@5 69.531 (72.988)
Epoch: [58][2420/5005] Time 0.212 (0.211) Data 0.040 (0.048) Loss 2.2836 (2.2834) Prec@1 50.781 (47.736) Prec@5 73.828 (72.994)
Epoch: [58][2430/5005] Time 0.214 (0.211) Data 0.042 (0.048) Loss 2.1904 (2.2835) Prec@1 52.344 (47.732) Prec@5 74.609 (72.990)
Epoch: [58][2440/5005] Time 0.208 (0.211) Data 0.042 (0.048) Loss 2.0293 (2.2834) Prec@1 56.250 (47.736) Prec@5 76.953 (72.990)
Epoch: [58][2450/5005] Time 0.209 (0.211) Data 0.042 (0.048) Loss 2.2321 (2.2832) Prec@1 48.438 (47.741) Prec@5 74.609 (72.996)
Epoch: [58][2460/5005] Time 0.207 (0.211) Data 0.039 (0.048) Loss 2.2369 (2.2830) Prec@1 50.000 (47.746) Prec@5 72.266 (72.995)
Epoch: [58][2470/5005] Time 0.218 (0.211) Data 0.041 (0.048) Loss 2.1450 (2.2829) Prec@1 48.828 (47.749) Prec@5 73.438 (72.996)
Epoch: [58][2480/5005] Time 0.207 (0.211) Data 0.043 (0.048) Loss 2.4123 (2.2831) Prec@1 48.047 (47.744) Prec@5 69.922 (72.992)
Epoch: [58][2490/5005] Time 0.203 (0.211) Data 0.046 (0.048) Loss 2.0240 (2.2832) Prec@1 52.734 (47.743) Prec@5 78.516 (72.993)
Epoch: [58][2500/5005] Time 0.206 (0.211) Data 0.056 (0.048) Loss 2.2163 (2.2831) Prec@1 48.047 (47.741) Prec@5 71.875 (72.991)
Epoch: [58][2510/5005] Time 0.207 (0.211) Data 0.050 (0.048) Loss 2.2611 (2.2832) Prec@1 50.000 (47.737) Prec@5 73.828 (72.991)
Epoch: [58][2520/5005] Time 0.206 (0.211) Data 0.042 (0.048) Loss 2.1754 (2.2830) Prec@1 49.609 (47.741) Prec@5 76.172 (72.992)
Epoch: [58][2530/5005] Time 0.211 (0.211) Data 0.042 (0.048) Loss 2.4287 (2.2830) Prec@1 46.875 (47.743) Prec@5 71.875 (72.993)
Epoch: [58][2540/5005] Time 0.207 (0.211) Data 0.047 (0.048) Loss 2.1950 (2.2830) Prec@1 48.047 (47.743) Prec@5 75.781 (72.995)
Epoch: [58][2550/5005] Time 0.217 (0.211) Data 0.043 (0.048) Loss 2.3410 (2.2830) Prec@1 45.703 (47.742) Prec@5 73.828 (72.994)
Epoch: [58][2560/5005] Time 0.207 (0.211) Data 0.042 (0.048) Loss 2.4586 (2.2832) Prec@1 44.531 (47.742) Prec@5 70.703 (72.992)
Epoch: [58][2570/5005] Time 0.212 (0.211) Data 0.043 (0.048) Loss 2.3153 (2.2834) Prec@1 44.141 (47.741) Prec@5 72.266 (72.988)
Epoch: [58][2580/5005] Time 0.212 (0.211) Data 0.039 (0.048) Loss 2.3977 (2.2836) Prec@1 47.656 (47.735) Prec@5 72.266 (72.984)
Epoch: [58][2590/5005] Time 0.212 (0.211) Data 0.043 (0.048) Loss 2.2538 (2.2835) Prec@1 49.609 (47.740) Prec@5 72.266 (72.985)
Epoch: [58][2600/5005] Time 0.212 (0.211) Data 0.043 (0.048) Loss 2.4066 (2.2838) Prec@1 49.219 (47.738) Prec@5 71.875 (72.981)
Epoch: [58][2610/5005] Time 0.206 (0.211) Data 0.043 (0.048) Loss 2.4413 (2.2837) Prec@1 48.047 (47.741) Prec@5 67.969 (72.978)
Epoch: [58][2620/5005] Time 0.212 (0.211) Data 0.043 (0.048) Loss 2.2526 (2.2837) Prec@1 47.266 (47.741) Prec@5 72.266 (72.981)
Epoch: [58][2630/5005] Time 0.204 (0.211) Data 0.040 (0.048) Loss 2.3737 (2.2840) Prec@1 44.922 (47.737) Prec@5 71.875 (72.977)
Epoch: [58][2640/5005] Time 0.209 (0.211) Data 0.046 (0.048) Loss 2.4097 (2.2840) Prec@1 42.578 (47.738) Prec@5 69.531 (72.978)
Epoch: [58][2650/5005] Time 0.212 (0.211) Data 0.043 (0.047) Loss 2.3934 (2.2840) Prec@1 45.312 (47.735) Prec@5 71.094 (72.974)
Epoch: [58][2660/5005] Time 0.206 (0.211) Data 0.042 (0.047) Loss 2.2630 (2.2839) Prec@1 46.484 (47.742) Prec@5 75.391 (72.973)
Epoch: [58][2670/5005] Time 0.206 (0.211) Data 0.041 (0.047) Loss 1.9148 (2.2838) Prec@1 54.297 (47.747) Prec@5 79.297 (72.974)
Epoch: [58][2680/5005] Time 0.200 (0.211) Data 0.046 (0.047) Loss 2.2112 (2.2837) Prec@1 49.219 (47.746) Prec@5 73.828 (72.974)
Epoch: [58][2690/5005] Time 0.208 (0.211) Data 0.060 (0.047) Loss 2.1486 (2.2836) Prec@1 50.781 (47.748) Prec@5 76.562 (72.977)
Epoch: [58][2700/5005] Time 0.204 (0.211) Data 0.040 (0.047) Loss 2.2001 (2.2837) Prec@1 46.875 (47.743) Prec@5 75.391 (72.977)
Epoch: [58][2710/5005] Time 0.202 (0.211) Data 0.043 (0.047) Loss 2.1576 (2.2840) Prec@1 46.875 (47.734) Prec@5 75.000 (72.974)
Epoch: [58][2720/5005] Time 0.210 (0.211) Data 0.043 (0.047) Loss 2.1946 (2.2840) Prec@1 50.781 (47.734) Prec@5 73.438 (72.975)
Epoch: [58][2730/5005] Time 0.206 (0.211) Data 0.040 (0.047) Loss 2.3772 (2.2837) Prec@1 45.703 (47.733) Prec@5 68.359 (72.979)
Epoch: [58][2740/5005] Time 0.208 (0.211) Data 0.043 (0.047) Loss 2.3085 (2.2837) Prec@1 49.609 (47.734) Prec@5 73.438 (72.977)
Epoch: [58][2750/5005] Time 0.218 (0.211) Data 0.051 (0.047) Loss 2.2950 (2.2837) Prec@1 45.312 (47.734) Prec@5 73.047 (72.978)
Epoch: [58][2760/5005] Time 0.211 (0.211) Data 0.044 (0.047) Loss 2.3226 (2.2835) Prec@1 45.312 (47.738) Prec@5 73.438 (72.978)
Epoch: [58][2770/5005] Time 0.196 (0.211) Data 0.049 (0.047) Loss 2.1448 (2.2835) Prec@1 48.047 (47.737) Prec@5 76.953 (72.978)
Epoch: [58][2780/5005] Time 0.212 (0.211) Data 0.044 (0.047) Loss 2.5297 (2.2835) Prec@1 42.188 (47.740) Prec@5 66.797 (72.976)
Epoch: [58][2790/5005] Time 0.210 (0.211) Data 0.043 (0.047) Loss 2.5460 (2.2836) Prec@1 42.578 (47.741) Prec@5 68.359 (72.975)
Epoch: [58][2800/5005] Time 0.212 (0.211) Data 0.046 (0.047) Loss 2.0375 (2.2834) Prec@1 53.906 (47.746) Prec@5 78.906 (72.983)
Epoch: [58][2810/5005] Time 0.204 (0.211) Data 0.046 (0.047) Loss 2.3880 (2.2834) Prec@1 45.703 (47.748) Prec@5 72.266 (72.985)
Epoch: [58][2820/5005] Time 0.208 (0.211) Data 0.059 (0.047) Loss 2.0216 (2.2832) Prec@1 47.656 (47.748) Prec@5 76.953 (72.991)
Epoch: [58][2830/5005] Time 0.211 (0.211) Data 0.050 (0.047) Loss 2.5542 (2.2833) Prec@1 43.359 (47.748) Prec@5 69.531 (72.988)
Epoch: [58][2840/5005] Time 0.201 (0.211) Data 0.042 (0.047) Loss 2.2566 (2.2832) Prec@1 47.656 (47.750) Prec@5 73.828 (72.993)
Epoch: [58][2850/5005] Time 0.203 (0.211) Data 0.044 (0.047) Loss 2.2768 (2.2831) Prec@1 48.828 (47.753) Prec@5 72.266 (72.993)
Epoch: [58][2860/5005] Time 0.200 (0.211) Data 0.059 (0.047) Loss 2.3002 (2.2833) Prec@1 50.391 (47.754) Prec@5 71.875 (72.991)
Epoch: [58][2870/5005] Time 0.205 (0.211) Data 0.053 (0.047) Loss 2.2323 (2.2830) Prec@1 48.438 (47.761) Prec@5 73.828 (72.997)
Epoch: [58][2880/5005] Time 0.214 (0.211) Data 0.042 (0.047) Loss 2.1994 (2.2829) Prec@1 49.609 (47.761) Prec@5 76.172 (72.997)
Epoch: [58][2890/5005] Time 0.216 (0.211) Data 0.044 (0.047) Loss 2.3350 (2.2827) Prec@1 43.750 (47.763) Prec@5 72.656 (73.001)
Epoch: [58][2900/5005] Time 0.207 (0.211) Data 0.042 (0.047) Loss 2.0018 (2.2823) Prec@1 55.078 (47.768) Prec@5 77.734 (73.007)
Epoch: [58][2910/5005] Time 0.209 (0.211) Data 0.051 (0.047) Loss 2.2570 (2.2823) Prec@1 45.703 (47.767) Prec@5 72.656 (73.010)
Epoch: [58][2920/5005] Time 0.200 (0.211) Data 0.045 (0.047) Loss 2.4563 (2.2824) Prec@1 46.875 (47.768) Prec@5 71.875 (73.009)
Epoch: [58][2930/5005] Time 0.217 (0.211) Data 0.042 (0.047) Loss 2.3985 (2.2824) Prec@1 46.875 (47.768) Prec@5 72.656 (73.007)
Epoch: [58][2940/5005] Time 0.212 (0.211) Data 0.052 (0.047) Loss 2.3646 (2.2821) Prec@1 44.922 (47.773) Prec@5 71.484 (73.013)
Epoch: [58][2950/5005] Time 0.211 (0.211) Data 0.041 (0.047) Loss 2.4970 (2.2820) Prec@1 41.016 (47.776) Prec@5 71.094 (73.015)
Epoch: [58][2960/5005] Time 0.210 (0.211) Data 0.047 (0.047) Loss 2.3063 (2.2819) Prec@1 49.219 (47.781) Prec@5 72.656 (73.013)
Epoch: [58][2970/5005] Time 0.211 (0.211) Data 0.042 (0.047) Loss 2.3777 (2.2818) Prec@1 44.922 (47.781) Prec@5 72.656 (73.014)
Epoch: [58][2980/5005] Time 0.494 (0.211) Data 0.054 (0.047) Loss 2.3710 (2.2818) Prec@1 49.219 (47.784) Prec@5 72.266 (73.014)
Epoch: [58][2990/5005] Time 0.204 (0.211) Data 0.051 (0.047) Loss 2.2268 (2.2819) Prec@1 50.000 (47.781) Prec@5 75.000 (73.016)
Epoch: [58][3000/5005] Time 0.196 (0.211) Data 0.044 (0.047) Loss 2.1754 (2.2818) Prec@1 49.219 (47.780) Prec@5 73.047 (73.018)
Epoch: [58][3010/5005] Time 0.205 (0.211) Data 0.043 (0.047) Loss 2.2529 (2.2819) Prec@1 49.219 (47.779) Prec@5 72.656 (73.019)
Epoch: [58][3020/5005] Time 0.207 (0.211) Data 0.043 (0.047) Loss 2.1965 (2.2820) Prec@1 49.609 (47.776) Prec@5 75.391 (73.016)
Epoch: [58][3030/5005] Time 0.203 (0.211) Data 0.043 (0.047) Loss 2.2975 (2.2820) Prec@1 46.875 (47.777) Prec@5 73.828 (73.017)
Epoch: [58][3040/5005] Time 0.214 (0.211) Data 0.043 (0.047) Loss 2.1013 (2.2819) Prec@1 51.172 (47.782) Prec@5 73.438 (73.016)
Epoch: [58][3050/5005] Time 0.213 (0.211) Data 0.042 (0.047) Loss 2.1772 (2.2819) Prec@1 46.875 (47.780) Prec@5 75.391 (73.016)
Epoch: [58][3060/5005] Time 0.214 (0.211) Data 0.043 (0.047) Loss 2.2471 (2.2817) Prec@1 46.484 (47.780) Prec@5 74.219 (73.019)
Epoch: [58][3070/5005] Time 0.209 (0.211) Data 0.043 (0.047) Loss 2.3121 (2.2818) Prec@1 46.094 (47.777) Prec@5 69.141 (73.016)
Epoch: [58][3080/5005] Time 0.217 (0.211) Data 0.041 (0.047) Loss 2.1136 (2.2818) Prec@1 47.656 (47.776) Prec@5 74.219 (73.016)
Epoch: [58][3090/5005] Time 0.215 (0.211) Data 0.054 (0.047) Loss 2.4536 (2.2817) Prec@1 42.578 (47.776) Prec@5 70.312 (73.019)
Epoch: [58][3100/5005] Time 0.202 (0.211) Data 0.045 (0.047) Loss 2.2847 (2.2817) Prec@1 47.656 (47.772) Prec@5 72.656 (73.020)
Epoch: [58][3110/5005] Time 0.207 (0.211) Data 0.054 (0.047) Loss 2.1495 (2.2815) Prec@1 47.266 (47.774) Prec@5 75.781 (73.026)
Epoch: [58][3120/5005] Time 0.200 (0.211) Data 0.056 (0.047) Loss 2.3371 (2.2815) Prec@1 44.922 (47.771) Prec@5 74.219 (73.027)
Epoch: [58][3130/5005] Time 0.203 (0.211) Data 0.042 (0.047) Loss 2.3329 (2.2812) Prec@1 44.922 (47.779) Prec@5 73.438 (73.033)
Epoch: [58][3140/5005] Time 0.207 (0.211) Data 0.048 (0.047) Loss 2.1268 (2.2810) Prec@1 52.344 (47.782) Prec@5 75.781 (73.037)
Epoch: [58][3150/5005] Time 0.209 (0.211) Data 0.049 (0.047) Loss 2.2954 (2.2809) Prec@1 47.656 (47.788) Prec@5 73.047 (73.040)
Epoch: [58][3160/5005] Time 0.195 (0.211) Data 0.061 (0.047) Loss 2.1144 (2.2809) Prec@1 52.734 (47.792) Prec@5 72.656 (73.040)
Epoch: [58][3170/5005] Time 0.202 (0.211) Data 0.040 (0.047) Loss 2.2844 (2.2809) Prec@1 44.922 (47.790) Prec@5 73.047 (73.040)
Epoch: [58][3180/5005] Time 0.209 (0.211) Data 0.043 (0.047) Loss 2.1510 (2.2809) Prec@1 54.297 (47.792) Prec@5 76.172 (73.036)
Epoch: [58][3190/5005] Time 0.208 (0.211) Data 0.061 (0.047) Loss 2.3099 (2.2809) Prec@1 48.047 (47.791) Prec@5 74.609 (73.038)
Epoch: [58][3200/5005] Time 0.205 (0.211) Data 0.043 (0.048) Loss 2.3481 (2.2810) Prec@1 46.094 (47.792) Prec@5 72.656 (73.037)
Epoch: [58][3210/5005] Time 0.201 (0.211) Data 0.057 (0.048) Loss 2.3357 (2.2809) Prec@1 48.828 (47.794) Prec@5 71.094 (73.038)
Epoch: [58][3220/5005] Time 0.208 (0.211) Data 0.051 (0.048) Loss 2.3811 (2.2809) Prec@1 46.094 (47.795) Prec@5 71.484 (73.037)
Epoch: [58][3230/5005] Time 0.219 (0.211) Data 0.045 (0.048) Loss 2.1943 (2.2806) Prec@1 49.219 (47.800) Prec@5 74.219 (73.041)
Epoch: [58][3240/5005] Time 0.214 (0.211) Data 0.042 (0.048) Loss 2.5938 (2.2810) Prec@1 44.141 (47.796) Prec@5 66.797 (73.033)
Epoch: [58][3250/5005] Time 0.209 (0.211) Data 0.044 (0.048) Loss 2.2709 (2.2810) Prec@1 49.609 (47.796) Prec@5 73.828 (73.034)
Epoch: [58][3260/5005] Time 0.209 (0.211) Data 0.051 (0.048) Loss 2.2122 (2.2809) Prec@1 48.047 (47.795) Prec@5 74.219 (73.034)
Epoch: [58][3270/5005] Time 0.215 (0.211) Data 0.040 (0.048) Loss 2.4769 (2.2808) Prec@1 44.141 (47.796) Prec@5 69.531 (73.035)
Epoch: [58][3280/5005] Time 0.202 (0.211) Data 0.044 (0.047) Loss 2.1613 (2.2810) Prec@1 52.344 (47.792) Prec@5 75.781 (73.035)
Epoch: [58][3290/5005] Time 0.214 (0.211) Data 0.045 (0.047) Loss 2.3195 (2.2810) Prec@1 50.781 (47.791) Prec@5 70.312 (73.034)
Epoch: [58][3300/5005] Time 0.209 (0.211) Data 0.044 (0.047) Loss 2.1564 (2.2810) Prec@1 46.875 (47.793) Prec@5 76.953 (73.037)
Epoch: [58][3310/5005] Time 0.204 (0.211) Data 0.044 (0.047) Loss 2.1675 (2.2808) Prec@1 49.219 (47.795) Prec@5 73.047 (73.038)
Epoch: [58][3320/5005] Time 0.204 (0.211) Data 0.044 (0.047) Loss 2.2935 (2.2807) Prec@1 47.266 (47.794) Prec@5 73.438 (73.042)
Epoch: [58][3330/5005] Time 0.203 (0.211) Data 0.044 (0.047) Loss 2.3312 (2.2807) Prec@1 43.750 (47.793) Prec@5 74.609 (73.043)
Epoch: [58][3340/5005] Time 0.212 (0.211) Data 0.044 (0.047) Loss 2.3108 (2.2807) Prec@1 46.484 (47.797) Prec@5 73.047 (73.048)
Epoch: [58][3350/5005] Time 0.208 (0.211) Data 0.041 (0.047) Loss 2.3363 (2.2805) Prec@1 47.656 (47.800) Prec@5 70.312 (73.051)
Epoch: [58][3360/5005] Time 0.211 (0.211) Data 0.044 (0.047) Loss 2.2471 (2.2805) Prec@1 51.172 (47.803) Prec@5 75.000 (73.052)
Epoch: [58][3370/5005] Time 0.203 (0.211) Data 0.044 (0.047) Loss 2.3504 (2.2806) Prec@1 47.656 (47.799) Prec@5 70.703 (73.048)
Epoch: [58][3380/5005] Time 0.211 (0.211) Data 0.043 (0.047) Loss 2.2648 (2.2806) Prec@1 45.703 (47.798) Prec@5 74.219 (73.049)
Epoch: [58][3390/5005] Time 0.214 (0.211) Data 0.044 (0.047) Loss 2.2040 (2.2808) Prec@1 51.953 (47.796) Prec@5 74.609 (73.045)
Epoch: [58][3400/5005] Time 0.209 (0.211) Data 0.045 (0.047) Loss 2.2113 (2.2809) Prec@1 48.438 (47.794) Prec@5 74.609 (73.044)
Epoch: [58][3410/5005] Time 0.208 (0.211) Data 0.043 (0.047) Loss 2.1698 (2.2807) Prec@1 51.562 (47.801) Prec@5 76.562 (73.047)
Epoch: [58][3420/5005] Time 0.206 (0.211) Data 0.042 (0.047) Loss 2.1392 (2.2807) Prec@1 49.609 (47.801) Prec@5 78.516 (73.048)
Epoch: [58][3430/5005] Time 0.201 (0.211) Data 0.041 (0.047) Loss 2.2387 (2.2807) Prec@1 50.391 (47.803) Prec@5 71.094 (73.050)
Epoch: [58][3440/5005] Time 0.213 (0.211) Data 0.042 (0.047) Loss 2.3665 (2.2805) Prec@1 48.828 (47.805) Prec@5 71.094 (73.054)
Epoch: [58][3450/5005] Time 0.208 (0.211) Data 0.045 (0.047) Loss 2.1778 (2.2804) Prec@1 50.000 (47.807) Prec@5 73.828 (73.057)
Epoch: [58][3460/5005] Time 0.211 (0.211) Data 0.047 (0.047) Loss 2.2205 (2.2804) Prec@1 47.656 (47.808) Prec@5 75.000 (73.056)
Epoch: [58][3470/5005] Time 0.208 (0.211) Data 0.041 (0.047) Loss 2.1338 (2.2802) Prec@1 54.688 (47.814) Prec@5 76.172 (73.059)
Epoch: [58][3480/5005] Time 0.204 (0.211) Data 0.048 (0.047) Loss 2.2099 (2.2799) Prec@1 48.438 (47.817) Prec@5 75.000 (73.063)
Epoch: [58][3490/5005] Time 0.202 (0.211) Data 0.046 (0.047) Loss 2.3816 (2.2800) Prec@1 44.141 (47.813) Prec@5 71.484 (73.061)
Epoch: [58][3500/5005] Time 0.198 (0.211) Data 0.062 (0.047) Loss 2.1658 (2.2801) Prec@1 50.000 (47.810) Prec@5 76.562 (73.061)
Epoch: [58][3510/5005] Time 0.208 (0.211) Data 0.052 (0.047) Loss 2.1434 (2.2799) Prec@1 50.000 (47.810) Prec@5 74.609 (73.062)
Epoch: [58][3520/5005] Time 0.204 (0.211) Data 0.051 (0.047) Loss 2.5495 (2.2800) Prec@1 47.656 (47.811) Prec@5 69.922 (73.062)
Epoch: [58][3530/5005] Time 0.202 (0.211) Data 0.042 (0.047) Loss 2.1764 (2.2798) Prec@1 53.516 (47.821) Prec@5 76.953 (73.065)
Epoch: [58][3540/5005] Time 0.206 (0.211) Data 0.039 (0.047) Loss 2.2391 (2.2797) Prec@1 46.875 (47.822) Prec@5 72.656 (73.067)
Epoch: [58][3550/5005] Time 0.204 (0.211) Data 0.044 (0.047) Loss 2.3962 (2.2796) Prec@1 46.484 (47.824) Prec@5 68.359 (73.065)
Epoch: [58][3560/5005] Time 0.213 (0.211) Data 0.046 (0.047) Loss 2.4113 (2.2796) Prec@1 46.094 (47.825) Prec@5 72.266 (73.067)
Epoch: [58][3570/5005] Time 0.211 (0.211) Data 0.045 (0.047) Loss 2.3530 (2.2796) Prec@1 49.219 (47.825) Prec@5 72.266 (73.067)
Epoch: [58][3580/5005] Time 0.209 (0.211) Data 0.041 (0.047) Loss 2.2196 (2.2797) Prec@1 46.875 (47.823) Prec@5 71.875 (73.064)
Epoch: [58][3590/5005] Time 0.205 (0.211) Data 0.043 (0.047) Loss 2.2199 (2.2793) Prec@1 48.438 (47.829) Prec@5 72.266 (73.069)
Epoch: [58][3600/5005] Time 0.204 (0.211) Data 0.043 (0.047) Loss 2.3968 (2.2792) Prec@1 50.000 (47.831) Prec@5 73.438 (73.073)
Epoch: [58][3610/5005] Time 0.205 (0.211) Data 0.043 (0.047) Loss 2.3187 (2.2792) Prec@1 49.219 (47.832) Prec@5 70.703 (73.071)
Epoch: [58][3620/5005] Time 0.208 (0.211) Data 0.050 (0.047) Loss 2.2700 (2.2788) Prec@1 47.656 (47.838) Prec@5 72.656 (73.077)
Epoch: [58][3630/5005] Time 0.216 (0.211) Data 0.043 (0.047) Loss 2.4549 (2.2787) Prec@1 44.141 (47.838) Prec@5 70.312 (73.079)
Epoch: [58][3640/5005] Time 0.210 (0.211) Data 0.053 (0.047) Loss 2.2780 (2.2787) Prec@1 44.922 (47.840) Prec@5 73.047 (73.081)
Epoch: [58][3650/5005] Time 0.204 (0.210) Data 0.050 (0.047) Loss 2.0777 (2.2787) Prec@1 50.000 (47.838) Prec@5 73.047 (73.081)
Epoch: [58][3660/5005] Time 0.207 (0.210) Data 0.046 (0.047) Loss 2.3045 (2.2785) Prec@1 47.266 (47.843) Prec@5 74.219 (73.087)
Epoch: [58][3670/5005] Time 0.216 (0.210) Data 0.042 (0.047) Loss 2.4642 (2.2785) Prec@1 47.266 (47.843) Prec@5 69.531 (73.085)
Epoch: [58][3680/5005] Time 0.209 (0.210) Data 0.049 (0.047) Loss 2.1316 (2.2785) Prec@1 49.609 (47.841) Prec@5 73.438 (73.082)
Epoch: [58][3690/5005] Time 0.212 (0.210) Data 0.048 (0.047) Loss 2.1026 (2.2786) Prec@1 49.609 (47.838) Prec@5 76.172 (73.081)
Epoch: [58][3700/5005] Time 0.204 (0.210) Data 0.056 (0.047) Loss 2.3892 (2.2786) Prec@1 47.656 (47.836) Prec@5 72.266 (73.079)
Epoch: [58][3710/5005] Time 0.208 (0.210) Data 0.046 (0.047) Loss 2.3529 (2.2786) Prec@1 49.609 (47.840) Prec@5 74.219 (73.082)
Epoch: [58][3720/5005] Time 0.202 (0.210) Data 0.050 (0.047) Loss 2.3849 (2.2785) Prec@1 47.266 (47.841) Prec@5 70.703 (73.083)
Epoch: [58][3730/5005] Time 0.213 (0.210) Data 0.044 (0.047) Loss 2.1785 (2.2784) Prec@1 51.172 (47.843) Prec@5 76.953 (73.084)
Epoch: [58][3740/5005] Time 0.208 (0.210) Data 0.042 (0.047) Loss 2.1684 (2.2781) Prec@1 50.000 (47.845) Prec@5 74.609 (73.089)
Epoch: [58][3750/5005] Time 0.218 (0.210) Data 0.047 (0.047) Loss 2.1281 (2.2782) Prec@1 51.172 (47.843) Prec@5 76.172 (73.087)
Epoch: [58][3760/5005] Time 0.206 (0.210) Data 0.040 (0.047) Loss 2.4140 (2.2783) Prec@1 45.703 (47.840) Prec@5 68.750 (73.086)
Epoch: [58][3770/5005] Time 0.208 (0.210) Data 0.046 (0.047) Loss 2.4178 (2.2782) Prec@1 47.266 (47.840) Prec@5 69.141 (73.085)
Epoch: [58][3780/5005] Time 0.198 (0.210) Data 0.047 (0.047) Loss 2.2280 (2.2782) Prec@1 49.609 (47.843) Prec@5 73.047 (73.084)
Epoch: [58][3790/5005] Time 0.201 (0.210) Data 0.051 (0.047) Loss 2.4015 (2.2783) Prec@1 46.875 (47.841) Prec@5 69.922 (73.080)
Epoch: [58][3800/5005] Time 0.203 (0.210) Data 0.056 (0.047) Loss 2.2565 (2.2786) Prec@1 46.094 (47.838) Prec@5 75.000 (73.076)
Epoch: [58][3810/5005] Time 0.206 (0.210) Data 0.040 (0.047) Loss 2.2203 (2.2786) Prec@1 52.344 (47.837) Prec@5 75.781 (73.077)
Epoch: [58][3820/5005] Time 0.201 (0.210) Data 0.048 (0.047) Loss 2.2329 (2.2785) Prec@1 50.391 (47.836) Prec@5 73.828 (73.080)
Epoch: [58][3830/5005] Time 0.197 (0.210) Data 0.043 (0.047) Loss 2.2625 (2.2782) Prec@1 43.750 (47.843) Prec@5 72.266 (73.084)
Epoch: [58][3840/5005] Time 0.198 (0.210) Data 0.044 (0.047) Loss 2.5561 (2.2783) Prec@1 43.359 (47.842) Prec@5 71.875 (73.083)
Epoch: [58][3850/5005] Time 0.211 (0.210) Data 0.041 (0.047) Loss 2.3142 (2.2782) Prec@1 44.922 (47.841) Prec@5 73.828 (73.085)
Epoch: [58][3860/5005] Time 0.206 (0.210) Data 0.054 (0.047) Loss 2.0036 (2.2782) Prec@1 55.078 (47.842) Prec@5 76.172 (73.085)
Epoch: [58][3870/5005] Time 0.213 (0.210) Data 0.044 (0.047) Loss 2.2682 (2.2782) Prec@1 47.656 (47.839) Prec@5 70.703 (73.083)
Epoch: [58][3880/5005] Time 0.216 (0.210) Data 0.045 (0.047) Loss 2.0042 (2.2781) Prec@1 51.562 (47.840) Prec@5 75.781 (73.084)
Epoch: [58][3890/5005] Time 0.197 (0.210) Data 0.041 (0.047) Loss 2.5096 (2.2781) Prec@1 41.406 (47.838) Prec@5 71.484 (73.082)
Epoch: [58][3900/5005] Time 0.211 (0.210) Data 0.042 (0.047) Loss 2.5188 (2.2781) Prec@1 44.141 (47.837) Prec@5 69.531 (73.081)
Epoch: [58][3910/5005] Time 0.193 (0.210) Data 0.051 (0.047) Loss 2.2304 (2.2780) Prec@1 47.266 (47.838) Prec@5 74.609 (73.084)
Epoch: [58][3920/5005] Time 0.208 (0.210) Data 0.051 (0.047) Loss 2.2139 (2.2780) Prec@1 49.219 (47.840) Prec@5 72.266 (73.085)
Epoch: [58][3930/5005] Time 0.206 (0.210) Data 0.043 (0.047) Loss 2.2228 (2.2778) Prec@1 50.391 (47.840) Prec@5 74.609 (73.090)
Epoch: [58][3940/5005] Time 0.203 (0.210) Data 0.042 (0.047) Loss 2.2583 (2.2777) Prec@1 45.312 (47.839) Prec@5 72.266 (73.089)
Epoch: [58][3950/5005] Time 0.200 (0.210) Data 0.053 (0.047) Loss 2.1490 (2.2774) Prec@1 48.047 (47.843) Prec@5 76.562 (73.094)
Epoch: [58][3960/5005] Time 0.208 (0.210) Data 0.042 (0.047) Loss 2.1563 (2.2774) Prec@1 51.172 (47.844) Prec@5 75.391 (73.094)
Epoch: [58][3970/5005] Time 0.213 (0.210) Data 0.043 (0.047) Loss 2.3086 (2.2774) Prec@1 47.656 (47.843) Prec@5 72.656 (73.095)
Epoch: [58][3980/5005] Time 0.204 (0.210) Data 0.043 (0.047) Loss 2.1423 (2.2773) Prec@1 49.219 (47.843) Prec@5 74.219 (73.095)
Epoch: [58][3990/5005] Time 0.213 (0.210) Data 0.043 (0.047) Loss 2.2949 (2.2773) Prec@1 46.484 (47.842) Prec@5 75.781 (73.095)
Epoch: [58][4000/5005] Time 0.209 (0.210) Data 0.042 (0.047) Loss 2.1601 (2.2773) Prec@1 47.656 (47.843) Prec@5 75.000 (73.097)
Epoch: [58][4010/5005] Time 0.211 (0.210) Data 0.043 (0.047) Loss 2.2722 (2.2770) Prec@1 45.312 (47.848) Prec@5 72.266 (73.101)
Epoch: [58][4020/5005] Time 0.204 (0.210) Data 0.041 (0.047) Loss 2.4013 (2.2769) Prec@1 46.875 (47.850) Prec@5 70.703 (73.105)
Epoch: [58][4030/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.5166 (2.2771) Prec@1 44.531 (47.848) Prec@5 68.359 (73.100)
Epoch: [58][4040/5005] Time 0.207 (0.210) Data 0.041 (0.047) Loss 2.3270 (2.2773) Prec@1 44.922 (47.845) Prec@5 69.922 (73.099)
Epoch: [58][4050/5005] Time 0.210 (0.210) Data 0.042 (0.047) Loss 2.5374 (2.2772) Prec@1 42.578 (47.846) Prec@5 67.969 (73.101)
Epoch: [58][4060/5005] Time 0.210 (0.210) Data 0.043 (0.047) Loss 2.2836 (2.2772) Prec@1 43.750 (47.849) Prec@5 71.875 (73.099)
Epoch: [58][4070/5005] Time 0.212 (0.210) Data 0.042 (0.047) Loss 2.5636 (2.2772) Prec@1 45.312 (47.848) Prec@5 70.312 (73.102)
Epoch: [58][4080/5005] Time 0.211 (0.210) Data 0.042 (0.047) Loss 2.2798 (2.2772) Prec@1 48.047 (47.849) Prec@5 74.219 (73.104)
Epoch: [58][4090/5005] Time 0.207 (0.210) Data 0.042 (0.047) Loss 2.3698 (2.2771) Prec@1 45.703 (47.848) Prec@5 74.609 (73.105)
Epoch: [58][4100/5005] Time 0.213 (0.210) Data 0.042 (0.047) Loss 2.2264 (2.2770) Prec@1 46.875 (47.848) Prec@5 75.391 (73.106)
Epoch: [58][4110/5005] Time 0.215 (0.210) Data 0.043 (0.047) Loss 2.3846 (2.2770) Prec@1 46.875 (47.850) Prec@5 74.219 (73.107)
Epoch: [58][4120/5005] Time 0.211 (0.210) Data 0.042 (0.047) Loss 2.2988 (2.2768) Prec@1 48.828 (47.855) Prec@5 73.828 (73.109)
Epoch: [58][4130/5005] Time 0.209 (0.210) Data 0.042 (0.047) Loss 2.3748 (2.2768) Prec@1 42.969 (47.853) Prec@5 67.969 (73.109)
Epoch: [58][4140/5005] Time 0.205 (0.210) Data 0.047 (0.047) Loss 2.4333 (2.2768) Prec@1 46.875 (47.854) Prec@5 71.094 (73.106)
Epoch: [58][4150/5005] Time 0.213 (0.210) Data 0.042 (0.047) Loss 2.4396 (2.2769) Prec@1 45.703 (47.854) Prec@5 74.609 (73.107)
Epoch: [58][4160/5005] Time 0.203 (0.210) Data 0.047 (0.047) Loss 2.2016 (2.2771) Prec@1 51.953 (47.850) Prec@5 75.391 (73.104)
Epoch: [58][4170/5005] Time 0.208 (0.210) Data 0.047 (0.047) Loss 2.3623 (2.2769) Prec@1 43.359 (47.852) Prec@5 71.875 (73.106)
Epoch: [58][4180/5005] Time 0.212 (0.210) Data 0.044 (0.047) Loss 2.1212 (2.2768) Prec@1 52.734 (47.856) Prec@5 74.609 (73.107)
Epoch: [58][4190/5005] Time 0.208 (0.210) Data 0.042 (0.047) Loss 2.1319 (2.2769) Prec@1 51.953 (47.856) Prec@5 75.391 (73.104)
Epoch: [58][4200/5005] Time 0.205 (0.210) Data 0.046 (0.047) Loss 2.0519 (2.2768) Prec@1 48.828 (47.858) Prec@5 76.562 (73.104)
Epoch: [58][4210/5005] Time 0.197 (0.210) Data 0.043 (0.047) Loss 2.1582 (2.2768) Prec@1 48.828 (47.857) Prec@5 76.562 (73.106)
Epoch: [58][4220/5005] Time 0.209 (0.210) Data 0.050 (0.047) Loss 2.3148 (2.2768) Prec@1 44.141 (47.858) Prec@5 72.656 (73.107)
Epoch: [58][4230/5005] Time 0.208 (0.210) Data 0.044 (0.047) Loss 2.3535 (2.2768) Prec@1 46.094 (47.859) Prec@5 72.656 (73.105)
Epoch: [58][4240/5005] Time 0.218 (0.210) Data 0.043 (0.047) Loss 2.1949 (2.2768) Prec@1 51.562 (47.857) Prec@5 74.219 (73.106)
Epoch: [58][4250/5005] Time 0.213 (0.210) Data 0.044 (0.047) Loss 2.1562 (2.2767) Prec@1 49.609 (47.858) Prec@5 73.047 (73.108)
Epoch: [58][4260/5005] Time 0.205 (0.210) Data 0.043 (0.047) Loss 2.2820 (2.2766) Prec@1 45.312 (47.860) Prec@5 73.828 (73.108)
Epoch: [58][4270/5005] Time 0.209 (0.210) Data 0.042 (0.047) Loss 2.4798 (2.2768) Prec@1 47.656 (47.862) Prec@5 71.484 (73.105)
Epoch: [58][4280/5005] Time 0.209 (0.210) Data 0.049 (0.047) Loss 2.3644 (2.2768) Prec@1 45.312 (47.860) Prec@5 71.094 (73.105)
Epoch: [58][4290/5005] Time 0.207 (0.210) Data 0.042 (0.047) Loss 2.3882 (2.2768) Prec@1 49.609 (47.859) Prec@5 69.531 (73.104)
Epoch: [58][4300/5005] Time 0.207 (0.210) Data 0.043 (0.047) Loss 2.0071 (2.2766) Prec@1 51.562 (47.863) Prec@5 78.516 (73.109)
Epoch: [58][4310/5005] Time 0.207 (0.210) Data 0.041 (0.047) Loss 2.2481 (2.2766) Prec@1 50.391 (47.865) Prec@5 73.047 (73.108)
Epoch: [58][4320/5005] Time 0.205 (0.210) Data 0.060 (0.047) Loss 2.2879 (2.2765) Prec@1 48.828 (47.867) Prec@5 73.828 (73.109)
Epoch: [58][4330/5005] Time 0.207 (0.210) Data 0.047 (0.047) Loss 2.1856 (2.2763) Prec@1 49.219 (47.870) Prec@5 75.000 (73.111)
Epoch: [58][4340/5005] Time 0.215 (0.210) Data 0.042 (0.047) Loss 2.2566 (2.2764) Prec@1 45.703 (47.870) Prec@5 71.094 (73.109)
Epoch: [58][4350/5005] Time 0.212 (0.210) Data 0.045 (0.047) Loss 2.2482 (2.2763) Prec@1 51.172 (47.873) Prec@5 72.656 (73.111)
Epoch: [58][4360/5005] Time 0.210 (0.210) Data 0.042 (0.047) Loss 1.9830 (2.2760) Prec@1 50.391 (47.875) Prec@5 76.562 (73.116)
Epoch: [58][4370/5005] Time 0.209 (0.210) Data 0.044 (0.047) Loss 2.1934 (2.2759) Prec@1 47.656 (47.876) Prec@5 74.609 (73.119)
Epoch: [58][4380/5005] Time 0.213 (0.210) Data 0.042 (0.047) Loss 2.3397 (2.2758) Prec@1 49.609 (47.877) Prec@5 70.703 (73.122)
Epoch: [58][4390/5005] Time 0.207 (0.210) Data 0.043 (0.047) Loss 2.3476 (2.2757) Prec@1 46.094 (47.880) Prec@5 73.047 (73.124)
Epoch: [58][4400/5005] Time 0.209 (0.210) Data 0.055 (0.047) Loss 2.2575 (2.2757) Prec@1 45.312 (47.879) Prec@5 72.656 (73.125)
Epoch: [58][4410/5005] Time 0.200 (0.210) Data 0.058 (0.047) Loss 2.3414 (2.2756) Prec@1 45.312 (47.879) Prec@5 70.312 (73.123)
Epoch: [58][4420/5005] Time 0.203 (0.210) Data 0.058 (0.047) Loss 1.9291 (2.2756) Prec@1 55.078 (47.878) Prec@5 78.516 (73.124)
Epoch: [58][4430/5005] Time 0.205 (0.210) Data 0.047 (0.047) Loss 2.2019 (2.2754) Prec@1 45.312 (47.884) Prec@5 73.047 (73.126)
Epoch: [58][4440/5005] Time 0.214 (0.210) Data 0.054 (0.047) Loss 2.2723 (2.2754) Prec@1 48.438 (47.886) Prec@5 74.219 (73.127)
Epoch: [58][4450/5005] Time 0.208 (0.210) Data 0.053 (0.047) Loss 2.0589 (2.2753) Prec@1 50.391 (47.888) Prec@5 75.000 (73.128)
Epoch: [58][4460/5005] Time 0.204 (0.210) Data 0.048 (0.047) Loss 2.2875 (2.2751) Prec@1 49.609 (47.891) Prec@5 73.047 (73.129)
Epoch: [58][4470/5005] Time 0.206 (0.210) Data 0.053 (0.047) Loss 2.2839 (2.2752) Prec@1 46.484 (47.889) Prec@5 73.828 (73.128)
Epoch: [58][4480/5005] Time 0.204 (0.210) Data 0.050 (0.047) Loss 2.0024 (2.2753) Prec@1 53.516 (47.889) Prec@5 75.391 (73.126)
Epoch: [58][4490/5005] Time 0.206 (0.210) Data 0.065 (0.047) Loss 2.2528 (2.2753) Prec@1 43.750 (47.890) Prec@5 73.438 (73.125)
Epoch: [58][4500/5005] Time 0.209 (0.210) Data 0.044 (0.047) Loss 2.2549 (2.2752) Prec@1 48.828 (47.889) Prec@5 74.219 (73.127)
Epoch: [58][4510/5005] Time 0.213 (0.210) Data 0.043 (0.047) Loss 2.0560 (2.2751) Prec@1 50.000 (47.888) Prec@5 76.172 (73.128)
Epoch: [58][4520/5005] Time 0.210 (0.210) Data 0.048 (0.047) Loss 2.2512 (2.2750) Prec@1 50.781 (47.890) Prec@5 75.000 (73.129)
Epoch: [58][4530/5005] Time 0.203 (0.210) Data 0.043 (0.047) Loss 2.1131 (2.2748) Prec@1 50.391 (47.895) Prec@5 76.953 (73.132)
Epoch: [58][4540/5005] Time 0.214 (0.210) Data 0.039 (0.047) Loss 2.2899 (2.2749) Prec@1 49.609 (47.897) Prec@5 75.000 (73.131)
Epoch: [58][4550/5005] Time 0.212 (0.210) Data 0.044 (0.047) Loss 2.2864 (2.2748) Prec@1 48.438 (47.900) Prec@5 71.094 (73.132)
Epoch: [58][4560/5005] Time 0.213 (0.210) Data 0.045 (0.047) Loss 2.2350 (2.2748) Prec@1 51.172 (47.903) Prec@5 73.438 (73.132)
Epoch: [58][4570/5005] Time 0.216 (0.210) Data 0.041 (0.047) Loss 2.2994 (2.2747) Prec@1 47.266 (47.907) Prec@5 70.703 (73.134)
Epoch: [58][4580/5005] Time 0.196 (0.210) Data 0.058 (0.047) Loss 2.2931 (2.2745) Prec@1 48.047 (47.914) Prec@5 71.484 (73.136)
Epoch: [58][4590/5005] Time 0.209 (0.210) Data 0.049 (0.047) Loss 2.2089 (2.2746) Prec@1 46.484 (47.911) Prec@5 76.953 (73.136)
Epoch: [58][4600/5005] Time 0.211 (0.210) Data 0.048 (0.047) Loss 2.0558 (2.2746) Prec@1 53.906 (47.911) Prec@5 79.688 (73.137)
Epoch: [58][4610/5005] Time 0.208 (0.210) Data 0.046 (0.047) Loss 1.9812 (2.2745) Prec@1 51.172 (47.909) Prec@5 79.297 (73.140)
Epoch: [58][4620/5005] Time 0.214 (0.210) Data 0.044 (0.047) Loss 2.2389 (2.2745) Prec@1 48.828 (47.911) Prec@5 73.047 (73.141)
Epoch: [58][4630/5005] Time 0.206 (0.210) Data 0.049 (0.047) Loss 2.0729 (2.2743) Prec@1 53.906 (47.913) Prec@5 75.781 (73.144)
Epoch: [58][4640/5005] Time 0.205 (0.210) Data 0.045 (0.047) Loss 2.2778 (2.2742) Prec@1 50.781 (47.913) Prec@5 73.047 (73.146)
Epoch: [58][4650/5005] Time 0.202 (0.210) Data 0.051 (0.047) Loss 2.4413 (2.2742) Prec@1 43.359 (47.911) Prec@5 71.094 (73.148)
Epoch: [58][4660/5005] Time 0.195 (0.210) Data 0.065 (0.047) Loss 2.5255 (2.2742) Prec@1 44.531 (47.913) Prec@5 71.875 (73.148)
Epoch: [58][4670/5005] Time 0.214 (0.210) Data 0.044 (0.047) Loss 2.2162 (2.2741) Prec@1 49.219 (47.915) Prec@5 74.609 (73.152)
Epoch: [58][4680/5005] Time 0.216 (0.210) Data 0.042 (0.047) Loss 2.2788 (2.2741) Prec@1 47.266 (47.915) Prec@5 73.828 (73.154)
Epoch: [58][4690/5005] Time 0.213 (0.210) Data 0.045 (0.047) Loss 2.2303 (2.2741) Prec@1 47.266 (47.914) Prec@5 76.172 (73.156)
Epoch: [58][4700/5005] Time 0.202 (0.210) Data 0.042 (0.047) Loss 2.1710 (2.2741) Prec@1 51.953 (47.915) Prec@5 75.781 (73.155)
Epoch: [58][4710/5005] Time 0.198 (0.210) Data 0.042 (0.047) Loss 2.0917 (2.2739) Prec@1 53.125 (47.919) Prec@5 79.297 (73.159)
Epoch: [58][4720/5005] Time 0.210 (0.210) Data 0.042 (0.047) Loss 2.1977 (2.2739) Prec@1 51.953 (47.918) Prec@5 74.219 (73.161)
Epoch: [58][4730/5005] Time 0.198 (0.210) Data 0.041 (0.047) Loss 2.3105 (2.2740) Prec@1 47.266 (47.915) Prec@5 73.828 (73.158)
Epoch: [58][4740/5005] Time 0.219 (0.210) Data 0.046 (0.047) Loss 2.2088 (2.2739) Prec@1 44.531 (47.915) Prec@5 76.172 (73.161)
Epoch: [58][4750/5005] Time 0.204 (0.210) Data 0.059 (0.047) Loss 2.2322 (2.2738) Prec@1 50.391 (47.917) Prec@5 74.219 (73.163)
Epoch: [58][4760/5005] Time 0.211 (0.210) Data 0.046 (0.047) Loss 2.5054 (2.2737) Prec@1 44.141 (47.918) Prec@5 69.141 (73.164)
Epoch: [58][4770/5005] Time 0.205 (0.210) Data 0.039 (0.047) Loss 2.1804 (2.2736) Prec@1 52.344 (47.920) Prec@5 73.828 (73.165)
Epoch: [58][4780/5005] Time 0.213 (0.210) Data 0.042 (0.047) Loss 2.3015 (2.2735) Prec@1 48.828 (47.924) Prec@5 72.656 (73.166)
Epoch: [58][4790/5005] Time 0.210 (0.210) Data 0.047 (0.047) Loss 2.5655 (2.2736) Prec@1 44.141 (47.923) Prec@5 71.094 (73.164)
Epoch: [58][4800/5005] Time 0.200 (0.210) Data 0.047 (0.047) Loss 2.2569 (2.2734) Prec@1 48.438 (47.924) Prec@5 73.047 (73.169)
Epoch: [58][4810/5005] Time 0.209 (0.210) Data 0.046 (0.047) Loss 2.6215 (2.2735) Prec@1 43.359 (47.921) Prec@5 67.969 (73.168)
Epoch: [58][4820/5005] Time 0.205 (0.210) Data 0.039 (0.047) Loss 2.3652 (2.2734) Prec@1 50.000 (47.921) Prec@5 69.531 (73.170)
Epoch: [58][4830/5005] Time 0.207 (0.210) Data 0.044 (0.047) Loss 2.3200 (2.2733) Prec@1 47.266 (47.924) Prec@5 71.875 (73.170)
Epoch: [58][4840/5005] Time 0.212 (0.210) Data 0.043 (0.047) Loss 2.1423 (2.2735) Prec@1 51.172 (47.921) Prec@5 74.219 (73.170)
Epoch: [58][4850/5005] Time 0.211 (0.210) Data 0.047 (0.047) Loss 2.2144 (2.2737) Prec@1 47.266 (47.918) Prec@5 71.875 (73.166)
Epoch: [58][4860/5005] Time 0.209 (0.210) Data 0.041 (0.047) Loss 2.2201 (2.2736) Prec@1 42.578 (47.919) Prec@5 75.781 (73.165)
Epoch: [58][4870/5005] Time 0.205 (0.210) Data 0.041 (0.047) Loss 2.1529 (2.2736) Prec@1 51.562 (47.920) Prec@5 71.875 (73.163)
Epoch: [58][4880/5005] Time 0.199 (0.210) Data 0.042 (0.047) Loss 2.2762 (2.2735) Prec@1 48.047 (47.926) Prec@5 73.047 (73.168)
Epoch: [58][4890/5005] Time 0.213 (0.210) Data 0.044 (0.047) Loss 2.2853 (2.2734) Prec@1 47.266 (47.925) Prec@5 72.266 (73.171)
Epoch: [58][4900/5005] Time 0.209 (0.210) Data 0.067 (0.047) Loss 2.0376 (2.2733) Prec@1 48.438 (47.927) Prec@5 77.344 (73.172)
Epoch: [58][4910/5005] Time 0.212 (0.210) Data 0.051 (0.047) Loss 2.2423 (2.2731) Prec@1 48.047 (47.931) Prec@5 75.781 (73.176)
Epoch: [58][4920/5005] Time 0.202 (0.210) Data 0.051 (0.047) Loss 2.2057 (2.2731) Prec@1 45.703 (47.931) Prec@5 72.656 (73.175)
Epoch: [58][4930/5005] Time 0.208 (0.210) Data 0.044 (0.047) Loss 2.2743 (2.2731) Prec@1 48.438 (47.929) Prec@5 71.875 (73.177)
Epoch: [58][4940/5005] Time 0.197 (0.210) Data 0.044 (0.047) Loss 2.2611 (2.2731) Prec@1 49.219 (47.931) Prec@5 72.266 (73.176)
Epoch: [58][4950/5005] Time 0.209 (0.210) Data 0.041 (0.047) Loss 1.9186 (2.2732) Prec@1 50.000 (47.928) Prec@5 79.297 (73.174)
Epoch: [58][4960/5005] Time 0.208 (0.210) Data 0.044 (0.047) Loss 2.2207 (2.2731) Prec@1 49.219 (47.930) Prec@5 75.391 (73.175)
Epoch: [58][4970/5005] Time 0.199 (0.210) Data 0.046 (0.047) Loss 2.3356 (2.2731) Prec@1 43.359 (47.930) Prec@5 71.875 (73.176)
Epoch: [58][4980/5005] Time 0.199 (0.210) Data 0.051 (0.047) Loss 2.2476 (2.2729) Prec@1 48.438 (47.934) Prec@5 75.000 (73.178)
Epoch: [58][4990/5005] Time 0.205 (0.210) Data 0.025 (0.047) Loss 2.2853 (2.2729) Prec@1 47.266 (47.934) Prec@5 71.875 (73.177)
Epoch: [58][5000/5005] Time 0.206 (0.210) Data 0.021 (0.047) Loss 2.2966 (2.2729) Prec@1 45.703 (47.934) Prec@5 75.391 (73.177)
Test: [0/196] Time 1.275 (1.275) Loss 2.3742 (2.3742) Prec@1 49.219 (49.219) Prec@5 71.875 (71.875)
Test: [10/196] Time 0.110 (0.276) Loss 2.4590 (2.5252) Prec@1 48.438 (44.638) Prec@5 71.094 (69.957)
Test: [20/196] Time 0.042 (0.229) Loss 2.4566 (2.5307) Prec@1 48.047 (44.457) Prec@5 72.266 (70.182)
Test: [30/196] Time 0.481 (0.219) Loss 2.4430 (2.5397) Prec@1 45.703 (44.128) Prec@5 71.094 (69.796)
Test: [40/196] Time 0.045 (0.203) Loss 2.3167 (2.5363) Prec@1 49.219 (44.312) Prec@5 71.875 (69.722)
Test: [50/196] Time 0.045 (0.206) Loss 2.6008 (2.5377) Prec@1 46.875 (44.324) Prec@5 73.438 (69.822)
Test: [60/196] Time 0.085 (0.201) Loss 2.4213 (2.5224) Prec@1 49.219 (44.640) Prec@5 69.922 (69.909)
Test: [70/196] Time 0.221 (0.194) Loss 2.4496 (2.5156) Prec@1 44.531 (44.691) Prec@5 69.141 (69.927)
Test: [80/196] Time 0.367 (0.189) Loss 2.3202 (2.5210) Prec@1 50.000 (44.589) Prec@5 77.734 (69.898)
Test: [90/196] Time 0.042 (0.187) Loss 2.6199 (2.5235) Prec@1 45.703 (44.574) Prec@5 69.141 (69.905)
Test: [100/196] Time 0.284 (0.185) Loss 2.5542 (2.5200) Prec@1 46.875 (44.775) Prec@5 68.359 (69.868)
Test: [110/196] Time 0.050 (0.185) Loss 2.7074 (2.5222) Prec@1 42.969 (44.795) Prec@5 67.188 (69.823)
Test: [120/196] Time 0.044 (0.188) Loss 2.4011 (2.5211) Prec@1 43.750 (44.786) Prec@5 71.484 (69.793)
Test: [130/196] Time 0.045 (0.186) Loss 2.2417 (2.5180) Prec@1 48.047 (44.835) Prec@5 73.047 (69.844)
Test: [140/196] Time 0.380 (0.185) Loss 2.2955 (2.5203) Prec@1 49.609 (44.825) Prec@5 70.312 (69.772)
Test: [150/196] Time 0.061 (0.182) Loss 2.1511 (2.5198) Prec@1 49.219 (44.782) Prec@5 77.734 (69.829)
Test: [160/196] Time 0.042 (0.182) Loss 2.4268 (2.5185) Prec@1 50.000 (44.764) Prec@5 69.531 (69.818)
Test: [170/196] Time 0.050 (0.180) Loss 2.4289 (2.5201) Prec@1 43.359 (44.716) Prec@5 72.266 (69.767)
Test: [180/196] Time 0.828 (0.183) Loss 2.7193 (2.5248) Prec@1 41.406 (44.581) Prec@5 66.016 (69.682)
Test: [190/196] Time 0.044 (0.180) Loss 2.7510 (2.5277) Prec@1 42.969 (44.558) Prec@5 64.844 (69.593)
* Prec@1 44.576 Prec@5 69.620
Learning rate: 1e-05
Epoch: [59][0/5005] Time 1.122 (1.122) Data 0.993 (0.993) Loss 2.2285 (2.2285) Prec@1 48.828 (48.828) Prec@5 74.219 (74.219)
Epoch: [59][10/5005] Time 0.209 (0.284) Data 0.042 (0.139) Loss 2.1030 (2.2831) Prec@1 54.297 (47.940) Prec@5 75.391 (72.727)
Epoch: [59][20/5005] Time 0.208 (0.245) Data 0.043 (0.094) Loss 2.5787 (2.3217) Prec@1 42.188 (46.745) Prec@5 67.188 (72.117)
Epoch: [59][30/5005] Time 0.211 (0.232) Data 0.043 (0.079) Loss 2.2975 (2.2730) Prec@1 46.484 (47.429) Prec@5 71.875 (72.694)
Epoch: [59][40/5005] Time 0.203 (0.225) Data 0.048 (0.072) Loss 2.2006 (2.2816) Prec@1 51.172 (47.380) Prec@5 74.609 (72.666)
Epoch: [59][50/5005] Time 0.203 (0.221) Data 0.048 (0.066) Loss 2.0834 (2.2753) Prec@1 51.562 (47.472) Prec@5 76.562 (72.855)
Epoch: [59][60/5005] Time 0.209 (0.219) Data 0.044 (0.063) Loss 2.1432 (2.2815) Prec@1 48.438 (47.413) Prec@5 76.562 (72.810)
Epoch: [59][70/5005] Time 0.204 (0.217) Data 0.043 (0.061) Loss 2.3867 (2.2905) Prec@1 42.188 (47.205) Prec@5 71.875 (72.717)
Epoch: [59][80/5005] Time 0.203 (0.215) Data 0.042 (0.059) Loss 2.2419 (2.2898) Prec@1 46.875 (47.213) Prec@5 73.828 (72.782)
Epoch: [59][90/5005] Time 0.203 (0.213) Data 0.050 (0.058) Loss 2.2934 (2.2893) Prec@1 51.562 (47.373) Prec@5 75.391 (72.785)
Epoch: [59][100/5005] Time 0.212 (0.212) Data 0.040 (0.057) Loss 2.1126 (2.2897) Prec@1 49.609 (47.351) Prec@5 77.734 (72.842)
Epoch: [59][110/5005] Time 0.202 (0.211) Data 0.051 (0.056) Loss 2.4012 (2.2906) Prec@1 46.875 (47.508) Prec@5 70.703 (72.779)
Epoch: [59][120/5005] Time 0.204 (0.211) Data 0.046 (0.055) Loss 2.3101 (2.2906) Prec@1 45.703 (47.546) Prec@5 72.656 (72.782)
Epoch: [59][130/5005] Time 0.194 (0.210) Data 0.048 (0.055) Loss 2.3938 (2.2897) Prec@1 47.266 (47.617) Prec@5 71.094 (72.799)
Epoch: [59][140/5005] Time 0.205 (0.209) Data 0.043 (0.054) Loss 2.3109 (2.2879) Prec@1 44.531 (47.659) Prec@5 72.266 (72.795)
Epoch: [59][150/5005] Time 0.206 (0.209) Data 0.042 (0.053) Loss 2.3437 (2.2876) Prec@1 43.750 (47.669) Prec@5 71.875 (72.837)
Epoch: [59][160/5005] Time 0.206 (0.208) Data 0.045 (0.053) Loss 2.2975 (2.2904) Prec@1 46.094 (47.610) Prec@5 73.828 (72.763)
Epoch: [59][170/5005] Time 0.215 (0.208) Data 0.053 (0.053) Loss 2.3571 (2.2898) Prec@1 48.828 (47.659) Prec@5 69.531 (72.768)
Epoch: [59][180/5005] Time 0.218 (0.209) Data 0.046 (0.053) Loss 2.4381 (2.2891) Prec@1 45.703 (47.678) Prec@5 68.750 (72.756)
Epoch: [59][190/5005] Time 0.219 (0.210) Data 0.044 (0.052) Loss 2.3745 (2.2952) Prec@1 46.094 (47.517) Prec@5 69.531 (72.654)
Epoch: [59][200/5005] Time 0.224 (0.210) Data 0.046 (0.052) Loss 2.5346 (2.2977) Prec@1 41.016 (47.442) Prec@5 72.266 (72.608)
Epoch: [59][210/5005] Time 0.219 (0.211) Data 0.043 (0.052) Loss 2.1350 (2.2976) Prec@1 53.125 (47.490) Prec@5 74.609 (72.595)
Epoch: [59][220/5005] Time 0.217 (0.211) Data 0.044 (0.052) Loss 2.2641 (2.2957) Prec@1 49.609 (47.559) Prec@5 74.609 (72.632)
Epoch: [59][230/5005] Time 0.217 (0.211) Data 0.058 (0.051) Loss 2.2958 (2.2939) Prec@1 48.047 (47.621) Prec@5 70.312 (72.675)
Epoch: [59][240/5005] Time 0.215 (0.211) Data 0.058 (0.051) Loss 2.1335 (2.2933) Prec@1 48.828 (47.559) Prec@5 74.219 (72.685)
Epoch: [59][250/5005] Time 0.211 (0.211) Data 0.047 (0.051) Loss 2.4412 (2.2931) Prec@1 44.922 (47.547) Prec@5 75.781 (72.701)
Epoch: [59][260/5005] Time 0.212 (0.211) Data 0.054 (0.051) Loss 2.1993 (2.2933) Prec@1 49.609 (47.529) Prec@5 73.438 (72.700)
Epoch: [59][270/5005] Time 0.214 (0.212) Data 0.058 (0.051) Loss 2.3057 (2.2930) Prec@1 48.047 (47.554) Prec@5 70.703 (72.711)
Epoch: [59][280/5005] Time 0.216 (0.212) Data 0.045 (0.051) Loss 2.5430 (2.2947) Prec@1 44.531 (47.516) Prec@5 68.359 (72.678)
Epoch: [59][290/5005] Time 0.216 (0.212) Data 0.042 (0.051) Loss 2.1004 (2.2946) Prec@1 52.734 (47.482) Prec@5 75.391 (72.664)
Epoch: [59][300/5005] Time 0.209 (0.212) Data 0.043 (0.050) Loss 2.2616 (2.2950) Prec@1 50.781 (47.503) Prec@5 74.219 (72.681)
Epoch: [59][310/5005] Time 0.210 (0.212) Data 0.044 (0.050) Loss 2.2788 (2.2930) Prec@1 48.047 (47.528) Prec@5 73.438 (72.745)
Epoch: [59][320/5005] Time 0.211 (0.212) Data 0.044 (0.050) Loss 2.3768 (2.2938) Prec@1 42.188 (47.507) Prec@5 70.703 (72.718)
Epoch: [59][330/5005] Time 0.206 (0.212) Data 0.045 (0.050) Loss 2.0522 (2.2926) Prec@1 49.219 (47.536) Prec@5 77.734 (72.733)
Epoch: [59][340/5005] Time 0.211 (0.212) Data 0.038 (0.050) Loss 2.3664 (2.2960) Prec@1 50.000 (47.502) Prec@5 70.312 (72.657)
Epoch: [59][350/5005] Time 0.213 (0.212) Data 0.042 (0.049) Loss 2.5479 (2.2952) Prec@1 44.922 (47.526) Prec@5 70.703 (72.681)
Epoch: [59][360/5005] Time 0.214 (0.212) Data 0.043 (0.049) Loss 2.2786 (2.2954) Prec@1 48.438 (47.517) Prec@5 73.047 (72.674)
Epoch: [59][370/5005] Time 0.215 (0.212) Data 0.043 (0.049) Loss 2.4850 (2.2950) Prec@1 41.797 (47.530) Prec@5 66.797 (72.675)
Epoch: [59][380/5005] Time 0.216 (0.212) Data 0.044 (0.049) Loss 2.4231 (2.2957) Prec@1 48.047 (47.517) Prec@5 71.875 (72.663)
Epoch: [59][390/5005] Time 0.210 (0.212) Data 0.043 (0.049) Loss 2.2405 (2.2953) Prec@1 50.781 (47.516) Prec@5 73.438 (72.671)
Epoch: [59][400/5005] Time 0.215 (0.212) Data 0.044 (0.049) Loss 2.1810 (2.2944) Prec@1 45.312 (47.548) Prec@5 74.219 (72.698)
Epoch: [59][410/5005] Time 0.210 (0.212) Data 0.042 (0.049) Loss 2.0623 (2.2935) Prec@1 48.438 (47.553) Prec@5 78.516 (72.725)
Epoch: [59][420/5005] Time 0.216 (0.212) Data 0.044 (0.049) Loss 2.1784 (2.2931) Prec@1 48.438 (47.582) Prec@5 76.953 (72.743)
Epoch: [59][430/5005] Time 0.210 (0.212) Data 0.045 (0.048) Loss 2.1983 (2.2931) Prec@1 51.562 (47.590) Prec@5 75.000 (72.747)
Epoch: [59][440/5005] Time 0.206 (0.212) Data 0.050 (0.048) Loss 2.2201 (2.2925) Prec@1 51.172 (47.594) Prec@5 72.656 (72.763)
Epoch: [59][450/5005] Time 0.216 (0.212) Data 0.044 (0.048) Loss 2.0634 (2.2934) Prec@1 46.484 (47.576) Prec@5 78.516 (72.755)
Epoch: [59][460/5005] Time 0.221 (0.212) Data 0.044 (0.048) Loss 2.1895 (2.2939) Prec@1 48.438 (47.548) Prec@5 73.828 (72.761)
Epoch: [59][470/5005] Time 0.217 (0.212) Data 0.040 (0.048) Loss 2.3005 (2.2947) Prec@1 46.875 (47.550) Prec@5 70.703 (72.736)
Epoch: [59][480/5005] Time 0.217 (0.212) Data 0.043 (0.048) Loss 2.3643 (2.2949) Prec@1 44.531 (47.556) Prec@5 69.531 (72.742)
Epoch: [59][490/5005] Time 0.203 (0.212) Data 0.054 (0.048) Loss 2.2756 (2.2948) Prec@1 49.609 (47.550) Prec@5 72.656 (72.753)
Epoch: [59][500/5005] Time 0.215 (0.212) Data 0.044 (0.048) Loss 2.4835 (2.2969) Prec@1 42.969 (47.547) Prec@5 70.312 (72.706)
Epoch: [59][510/5005] Time 0.215 (0.212) Data 0.043 (0.048) Loss 2.5313 (2.2975) Prec@1 42.188 (47.536) Prec@5 69.141 (72.707)
Epoch: [59][520/5005] Time 0.211 (0.212) Data 0.042 (0.048) Loss 2.3117 (2.2970) Prec@1 46.484 (47.536) Prec@5 71.484 (72.728)
Epoch: [59][530/5005] Time 0.205 (0.212) Data 0.046 (0.048) Loss 2.3540 (2.2971) Prec@1 45.312 (47.522) Prec@5 72.266 (72.725)
Epoch: [59][540/5005] Time 0.203 (0.212) Data 0.062 (0.048) Loss 2.4766 (2.2979) Prec@1 44.141 (47.517) Prec@5 70.703 (72.721)
Epoch: [59][550/5005] Time 0.211 (0.212) Data 0.048 (0.048) Loss 2.2909 (2.2977) Prec@1 48.828 (47.529) Prec@5 74.609 (72.729)
Epoch: [59][560/5005] Time 0.213 (0.212) Data 0.043 (0.048) Loss 2.4629 (2.2975) Prec@1 44.531 (47.533) Prec@5 70.312 (72.741)
Epoch: [59][570/5005] Time 0.213 (0.212) Data 0.044 (0.048) Loss 2.4400 (2.2990) Prec@1 43.750 (47.508) Prec@5 69.922 (72.707)
Epoch: [59][580/5005] Time 0.209 (0.212) Data 0.050 (0.048) Loss 2.3962 (2.2987) Prec@1 46.875 (47.500) Prec@5 69.922 (72.706)
Epoch: [59][590/5005] Time 0.211 (0.212) Data 0.067 (0.048) Loss 2.4727 (2.2993) Prec@1 44.141 (47.517) Prec@5 71.484 (72.697)
Epoch: [59][600/5005] Time 0.212 (0.212) Data 0.048 (0.048) Loss 2.2282 (2.3000) Prec@1 51.172 (47.514) Prec@5 71.484 (72.688)
Epoch: [59][610/5005] Time 0.225 (0.212) Data 0.046 (0.048) Loss 2.1755 (2.3000) Prec@1 50.391 (47.498) Prec@5 75.000 (72.695)
Epoch: [59][620/5005] Time 0.218 (0.212) Data 0.044 (0.048) Loss 2.2527 (2.2996) Prec@1 52.734 (47.515) Prec@5 72.656 (72.705)
Epoch: [59][630/5005] Time 0.207 (0.212) Data 0.051 (0.048) Loss 2.4362 (2.2995) Prec@1 44.531 (47.526) Prec@5 71.484 (72.726)
Epoch: [59][640/5005] Time 0.198 (0.212) Data 0.045 (0.048) Loss 2.2513 (2.2994) Prec@1 46.094 (47.529) Prec@5 72.656 (72.728)
Epoch: [59][650/5005] Time 0.208 (0.212) Data 0.047 (0.048) Loss 2.3460 (2.3002) Prec@1 43.359 (47.505) Prec@5 73.047 (72.723)
Epoch: [59][660/5005] Time 0.209 (0.212) Data 0.046 (0.048) Loss 2.4133 (2.2997) Prec@1 42.969 (47.512) Prec@5 73.438 (72.743)
Epoch: [59][670/5005] Time 0.205 (0.212) Data 0.047 (0.048) Loss 2.4071 (2.2995) Prec@1 47.266 (47.514) Prec@5 73.438 (72.745)
Epoch: [59][680/5005] Time 0.211 (0.212) Data 0.045 (0.048) Loss 2.2731 (2.2992) Prec@1 48.828 (47.518) Prec@5 73.828 (72.752)
Epoch: [59][690/5005] Time 0.206 (0.212) Data 0.046 (0.048) Loss 2.2319 (2.2991) Prec@1 46.875 (47.504) Prec@5 74.219 (72.750)
Epoch: [59][700/5005] Time 0.216 (0.212) Data 0.040 (0.048) Loss 2.3394 (2.2989) Prec@1 45.703 (47.492) Prec@5 71.484 (72.749)
Epoch: [59][710/5005] Time 0.213 (0.212) Data 0.044 (0.048) Loss 2.1124 (2.2985) Prec@1 50.000 (47.491) Prec@5 75.391 (72.744)
Epoch: [59][720/5005] Time 0.218 (0.212) Data 0.062 (0.048) Loss 2.0766 (2.2977) Prec@1 50.781 (47.509) Prec@5 76.953 (72.763)
Epoch: [59][730/5005] Time 0.211 (0.212) Data 0.052 (0.048) Loss 2.4436 (2.2975) Prec@1 46.094 (47.527) Prec@5 70.312 (72.762)
Epoch: [59][740/5005] Time 0.215 (0.212) Data 0.042 (0.048) Loss 2.2988 (2.2980) Prec@1 44.531 (47.509) Prec@5 75.000 (72.750)
Epoch: [59][750/5005] Time 0.202 (0.212) Data 0.054 (0.048) Loss 2.0693 (2.2981) Prec@1 55.078 (47.519) Prec@5 78.516 (72.756)
Epoch: [59][760/5005] Time 0.216 (0.212) Data 0.047 (0.048) Loss 2.3861 (2.2984) Prec@1 43.359 (47.525) Prec@5 73.438 (72.759)
Epoch: [59][770/5005] Time 0.207 (0.212) Data 0.046 (0.048) Loss 2.2850 (2.2968) Prec@1 49.609 (47.563) Prec@5 73.047 (72.788)
Epoch: [59][780/5005] Time 0.208 (0.212) Data 0.046 (0.048) Loss 2.2761 (2.2966) Prec@1 48.828 (47.550) Prec@5 71.094 (72.787)
Epoch: [59][790/5005] Time 0.212 (0.212) Data 0.042 (0.048) Loss 2.2519 (2.2963) Prec@1 51.562 (47.557) Prec@5 75.391 (72.789)
Epoch: [59][800/5005] Time 0.216 (0.212) Data 0.043 (0.048) Loss 2.2100 (2.2953) Prec@1 50.391 (47.582) Prec@5 73.828 (72.811)
Epoch: [59][810/5005] Time 0.217 (0.212) Data 0.042 (0.048) Loss 2.2805 (2.2952) Prec@1 46.484 (47.574) Prec@5 74.609 (72.811)
Epoch: [59][820/5005] Time 0.210 (0.212) Data 0.046 (0.048) Loss 2.4004 (2.2953) Prec@1 47.656 (47.575) Prec@5 68.359 (72.811)
Epoch: [59][830/5005] Time 0.205 (0.212) Data 0.045 (0.048) Loss 2.2057 (2.2950) Prec@1 46.875 (47.575) Prec@5 75.391 (72.818)
Epoch: [59][840/5005] Time 0.212 (0.212) Data 0.040 (0.048) Loss 2.2455 (2.2954) Prec@1 48.047 (47.566) Prec@5 74.219 (72.822)
Epoch: [59][850/5005] Time 0.212 (0.212) Data 0.052 (0.048) Loss 2.5582 (2.2949) Prec@1 42.969 (47.570) Prec@5 71.875 (72.833)
Epoch: [59][860/5005] Time 0.222 (0.212) Data 0.046 (0.048) Loss 2.2759 (2.2955) Prec@1 46.484 (47.561) Prec@5 71.875 (72.819)
Epoch: [59][870/5005] Time 0.214 (0.212) Data 0.043 (0.048) Loss 2.3164 (2.2942) Prec@1 46.875 (47.590) Prec@5 73.438 (72.834)
Epoch: [59][880/5005] Time 0.206 (0.212) Data 0.040 (0.048) Loss 2.1713 (2.2943) Prec@1 48.047 (47.588) Prec@5 72.266 (72.829)
Epoch: [59][890/5005] Time 0.213 (0.212) Data 0.043 (0.048) Loss 2.5860 (2.2941) Prec@1 42.188 (47.584) Prec@5 69.531 (72.836)
Epoch: [59][900/5005] Time 0.193 (0.212) Data 0.044 (0.048) Loss 2.2733 (2.2937) Prec@1 48.438 (47.585) Prec@5 71.094 (72.841)
Epoch: [59][910/5005] Time 0.209 (0.212) Data 0.044 (0.048) Loss 2.2579 (2.2936) Prec@1 45.312 (47.575) Prec@5 75.781 (72.845)
Epoch: [59][920/5005] Time 0.214 (0.212) Data 0.044 (0.048) Loss 2.3311 (2.2935) Prec@1 48.828 (47.583) Prec@5 73.828 (72.859)
Epoch: [59][930/5005] Time 0.210 (0.212) Data 0.063 (0.048) Loss 2.2676 (2.2928) Prec@1 47.266 (47.601) Prec@5 73.047 (72.867)
Epoch: [59][940/5005] Time 0.210 (0.212) Data 0.042 (0.048) Loss 2.1335 (2.2929) Prec@1 50.781 (47.607) Prec@5 76.562 (72.867)
Epoch: [59][950/5005] Time 0.206 (0.212) Data 0.048 (0.048) Loss 2.4690 (2.2937) Prec@1 44.141 (47.595) Prec@5 69.922 (72.855)
Epoch: [59][960/5005] Time 0.213 (0.212) Data 0.042 (0.048) Loss 2.4665 (2.2936) Prec@1 44.531 (47.585) Prec@5 69.922 (72.853)
Epoch: [59][970/5005] Time 0.206 (0.212) Data 0.042 (0.048) Loss 2.2069 (2.2938) Prec@1 50.000 (47.575) Prec@5 73.047 (72.854)
Epoch: [59][980/5005] Time 0.211 (0.212) Data 0.052 (0.048) Loss 2.1771 (2.2933) Prec@1 49.219 (47.571) Prec@5 75.781 (72.872)
Epoch: [59][990/5005] Time 0.206 (0.212) Data 0.047 (0.048) Loss 2.4145 (2.2939) Prec@1 46.094 (47.556) Prec@5 72.656 (72.864)
Epoch: [59][1000/5005] Time 0.211 (0.212) Data 0.044 (0.048) Loss 2.3515 (2.2938) Prec@1 49.609 (47.566) Prec@5 72.656 (72.872)
Epoch: [59][1010/5005] Time 0.211 (0.211) Data 0.056 (0.048) Loss 2.1686 (2.2930) Prec@1 48.828 (47.581) Prec@5 74.219 (72.892)
Epoch: [59][1020/5005] Time 0.202 (0.213) Data 0.041 (0.048) Loss 2.1985 (2.2938) Prec@1 51.172 (47.572) Prec@5 75.000 (72.879)
Epoch: [59][1030/5005] Time 0.199 (0.213) Data 0.046 (0.048) Loss 2.1745 (2.2933) Prec@1 48.828 (47.571) Prec@5 73.828 (72.878)
Epoch: [59][1040/5005] Time 0.208 (0.213) Data 0.061 (0.048) Loss 2.3856 (2.2935) Prec@1 45.703 (47.567) Prec@5 73.438 (72.877)
Epoch: [59][1050/5005] Time 0.215 (0.213) Data 0.048 (0.048) Loss 2.3084 (2.2935) Prec@1 46.875 (47.554) Prec@5 74.609 (72.877)
Epoch: [59][1060/5005] Time 0.213 (0.212) Data 0.042 (0.048) Loss 2.4773 (2.2940) Prec@1 43.750 (47.552) Prec@5 71.484 (72.868)
Epoch: [59][1070/5005] Time 0.215 (0.212) Data 0.043 (0.048) Loss 2.2696 (2.2936) Prec@1 47.656 (47.559) Prec@5 74.219 (72.881)
Epoch: [59][1080/5005] Time 0.202 (0.212) Data 0.041 (0.048) Loss 2.3515 (2.2939) Prec@1 46.094 (47.555) Prec@5 71.484 (72.876)
Epoch: [59][1090/5005] Time 0.214 (0.212) Data 0.046 (0.048) Loss 2.2223 (2.2938) Prec@1 48.047 (47.558) Prec@5 73.047 (72.875)
Epoch: [59][1100/5005] Time 0.206 (0.212) Data 0.042 (0.048) Loss 2.2640 (2.2932) Prec@1 48.047 (47.564) Prec@5 74.219 (72.889)
Epoch: [59][1110/5005] Time 0.219 (0.212) Data 0.046 (0.048) Loss 2.2974 (2.2934) Prec@1 47.656 (47.563) Prec@5 73.438 (72.889)
Epoch: [59][1120/5005] Time 0.210 (0.212) Data 0.043 (0.048) Loss 2.3031 (2.2926) Prec@1 52.344 (47.579) Prec@5 73.047 (72.909)
Epoch: [59][1130/5005] Time 0.211 (0.212) Data 0.044 (0.048) Loss 2.4842 (2.2929) Prec@1 45.703 (47.580) Prec@5 70.703 (72.900)
Epoch: [59][1140/5005] Time 0.216 (0.212) Data 0.044 (0.048) Loss 2.4775 (2.2929) Prec@1 47.656 (47.586) Prec@5 67.969 (72.906)
Epoch: [59][1150/5005] Time 0.202 (0.212) Data 0.048 (0.048) Loss 2.2535 (2.2924) Prec@1 45.312 (47.597) Prec@5 73.828 (72.919)
Epoch: [59][1160/5005] Time 0.205 (0.212) Data 0.047 (0.048) Loss 2.3676 (2.2924) Prec@1 45.312 (47.597) Prec@5 73.438 (72.921)
Epoch: [59][1170/5005] Time 0.201 (0.212) Data 0.059 (0.048) Loss 2.2302 (2.2922) Prec@1 47.266 (47.597) Prec@5 76.172 (72.932)
Epoch: [59][1180/5005] Time 0.207 (0.212) Data 0.057 (0.048) Loss 2.1779 (2.2921) Prec@1 50.391 (47.592) Prec@5 70.703 (72.929)
Epoch: [59][1190/5005] Time 0.213 (0.212) Data 0.058 (0.048) Loss 2.1852 (2.2917) Prec@1 46.094 (47.594) Prec@5 74.609 (72.934)
Epoch: [59][1200/5005] Time 0.206 (0.212) Data 0.059 (0.048) Loss 2.5450 (2.2916) Prec@1 43.359 (47.594) Prec@5 68.750 (72.937)
Epoch: [59][1210/5005] Time 0.212 (0.212) Data 0.042 (0.048) Loss 2.3064 (2.2920) Prec@1 44.922 (47.596) Prec@5 75.000 (72.938)
Epoch: [59][1220/5005] Time 0.222 (0.212) Data 0.046 (0.048) Loss 2.2418 (2.2922) Prec@1 48.438 (47.586) Prec@5 71.484 (72.941)
Epoch: [59][1230/5005] Time 0.215 (0.212) Data 0.042 (0.048) Loss 2.2626 (2.2920) Prec@1 50.000 (47.573) Prec@5 73.047 (72.944)
Epoch: [59][1240/5005] Time 0.213 (0.212) Data 0.046 (0.048) Loss 2.3902 (2.2925) Prec@1 44.922 (47.556) Prec@5 71.484 (72.942)
Epoch: [59][1250/5005] Time 0.207 (0.212) Data 0.043 (0.048) Loss 2.5939 (2.2928) Prec@1 41.406 (47.547) Prec@5 67.969 (72.940)
Epoch: [59][1260/5005] Time 0.206 (0.212) Data 0.059 (0.048) Loss 1.9913 (2.2924) Prec@1 52.344 (47.551) Prec@5 79.297 (72.947)
Epoch: [59][1270/5005] Time 0.204 (0.212) Data 0.046 (0.048) Loss 2.4368 (2.2931) Prec@1 44.531 (47.545) Prec@5 74.219 (72.935)
Epoch: [59][1280/5005] Time 0.212 (0.212) Data 0.046 (0.048) Loss 2.2521 (2.2933) Prec@1 49.609 (47.542) Prec@5 74.609 (72.934)
Epoch: [59][1290/5005] Time 0.217 (0.212) Data 0.046 (0.048) Loss 2.0203 (2.2930) Prec@1 56.250 (47.561) Prec@5 76.562 (72.933)
Epoch: [59][1300/5005] Time 0.208 (0.212) Data 0.048 (0.048) Loss 2.1781 (2.2928) Prec@1 52.344 (47.568) Prec@5 73.438 (72.937)
Epoch: [59][1310/5005] Time 0.212 (0.212) Data 0.041 (0.048) Loss 2.1871 (2.2925) Prec@1 48.438 (47.570) Prec@5 74.219 (72.940)
Epoch: [59][1320/5005] Time 0.202 (0.212) Data 0.042 (0.048) Loss 2.3346 (2.2922) Prec@1 46.094 (47.570) Prec@5 75.391 (72.951)
Epoch: [59][1330/5005] Time 0.217 (0.212) Data 0.047 (0.048) Loss 2.4643 (2.2927) Prec@1 44.922 (47.567) Prec@5 73.047 (72.947)
Epoch: [59][1340/5005] Time 0.211 (0.212) Data 0.047 (0.048) Loss 2.2088 (2.2926) Prec@1 51.562 (47.568) Prec@5 74.219 (72.946)
Epoch: [59][1350/5005] Time 0.213 (0.212) Data 0.047 (0.048) Loss 2.6654 (2.2929) Prec@1 46.484 (47.561) Prec@5 67.969 (72.939)
Epoch: [59][1360/5005] Time 0.206 (0.212) Data 0.047 (0.048) Loss 2.1264 (2.2928) Prec@1 52.734 (47.564) Prec@5 74.219 (72.936)
Epoch: [59][1370/5005] Time 0.210 (0.212) Data 0.044 (0.048) Loss 2.3791 (2.2925) Prec@1 46.094 (47.568) Prec@5 71.875 (72.945)
Epoch: [59][1380/5005] Time 0.208 (0.212) Data 0.049 (0.048) Loss 2.3710 (2.2925) Prec@1 44.922 (47.560) Prec@5 73.828 (72.943)
Epoch: [59][1390/5005] Time 0.212 (0.212) Data 0.048 (0.048) Loss 2.2412 (2.2925) Prec@1 48.438 (47.562) Prec@5 73.438 (72.934)
Epoch: [59][1400/5005] Time 0.216 (0.212) Data 0.043 (0.048) Loss 2.2181 (2.2916) Prec@1 46.875 (47.579) Prec@5 74.609 (72.948)
Epoch: [59][1410/5005] Time 0.202 (0.212) Data 0.054 (0.048) Loss 2.2482 (2.2911) Prec@1 50.000 (47.585) Prec@5 75.391 (72.958)
Epoch: [59][1420/5005] Time 0.199 (0.212) Data 0.045 (0.048) Loss 2.4316 (2.2912) Prec@1 44.531 (47.579) Prec@5 71.094 (72.958)
Epoch: [59][1430/5005] Time 0.210 (0.212) Data 0.041 (0.048) Loss 2.0737 (2.2910) Prec@1 55.078 (47.584) Prec@5 75.391 (72.960)
Epoch: [59][1440/5005] Time 0.214 (0.212) Data 0.042 (0.048) Loss 2.0893 (2.2909) Prec@1 53.516 (47.586) Prec@5 77.344 (72.959)
Epoch: [59][1450/5005] Time 0.207 (0.212) Data 0.046 (0.048) Loss 2.3086 (2.2908) Prec@1 47.266 (47.592) Prec@5 71.484 (72.957)
Epoch: [59][1460/5005] Time 0.208 (0.212) Data 0.044 (0.048) Loss 2.2510 (2.2908) Prec@1 47.266 (47.597) Prec@5 73.828 (72.961)
Epoch: [59][1470/5005] Time 0.207 (0.212) Data 0.048 (0.048) Loss 2.3694 (2.2907) Prec@1 46.094 (47.593) Prec@5 72.656 (72.963)
Epoch: [59][1480/5005] Time 0.206 (0.212) Data 0.042 (0.048) Loss 2.1558 (2.2907) Prec@1 49.609 (47.594) Prec@5 76.562 (72.968)
Epoch: [59][1490/5005] Time 0.203 (0.212) Data 0.045 (0.048) Loss 2.5424 (2.2906) Prec@1 39.844 (47.592) Prec@5 69.922 (72.972)
Epoch: [59][1500/5005] Time 0.211 (0.212) Data 0.046 (0.048) Loss 2.3890 (2.2905) Prec@1 49.609 (47.595) Prec@5 71.094 (72.972)
Epoch: [59][1510/5005] Time 0.208 (0.212) Data 0.046 (0.048) Loss 2.1682 (2.2903) Prec@1 49.609 (47.598) Prec@5 75.781 (72.978)
Epoch: [59][1520/5005] Time 0.216 (0.212) Data 0.040 (0.048) Loss 2.5096 (2.2900) Prec@1 45.312 (47.594) Prec@5 69.531 (72.981)
Epoch: [59][1530/5005] Time 0.210 (0.212) Data 0.043 (0.048) Loss 2.3887 (2.2901) Prec@1 50.391 (47.592) Prec@5 71.484 (72.978)
Epoch: [59][1540/5005] Time 0.212 (0.211) Data 0.047 (0.048) Loss 2.2442 (2.2901) Prec@1 44.922 (47.596) Prec@5 71.484 (72.979)
Epoch: [59][1550/5005] Time 0.201 (0.211) Data 0.054 (0.048) Loss 2.2525 (2.2898) Prec@1 48.047 (47.601) Prec@5 76.172 (72.987)
Epoch: [59][1560/5005] Time 0.203 (0.211) Data 0.055 (0.048) Loss 2.1385 (2.2899) Prec@1 48.828 (47.601) Prec@5 74.609 (72.983)
Epoch: [59][1570/5005] Time 0.208 (0.211) Data 0.059 (0.048) Loss 2.0865 (2.2895) Prec@1 53.125 (47.616) Prec@5 77.734 (72.991)
Epoch: [59][1580/5005] Time 0.207 (0.211) Data 0.048 (0.048) Loss 2.1841 (2.2898) Prec@1 48.828 (47.611) Prec@5 75.391 (72.987)
Epoch: [59][1590/5005] Time 0.203 (0.211) Data 0.059 (0.048) Loss 2.4344 (2.2899) Prec@1 44.922 (47.611) Prec@5 70.312 (72.984)
Epoch: [59][1600/5005] Time 0.206 (0.211) Data 0.043 (0.048) Loss 2.2788 (2.2899) Prec@1 51.562 (47.614) Prec@5 73.047 (72.983)
Epoch: [59][1610/5005] Time 0.209 (0.211) Data 0.042 (0.048) Loss 2.2949 (2.2899) Prec@1 47.266 (47.618) Prec@5 74.609 (72.983)
Epoch: [59][1620/5005] Time 0.210 (0.211) Data 0.042 (0.048) Loss 2.4588 (2.2896) Prec@1 46.484 (47.616) Prec@5 70.312 (72.985)
Epoch: [59][1630/5005] Time 0.211 (0.211) Data 0.048 (0.048) Loss 2.1638 (2.2898) Prec@1 51.953 (47.621) Prec@5 75.391 (72.983)
Epoch: [59][1640/5005] Time 0.214 (0.211) Data 0.045 (0.048) Loss 2.3339 (2.2901) Prec@1 50.781 (47.626) Prec@5 73.047 (72.978)
Epoch: [59][1650/5005] Time 0.212 (0.211) Data 0.046 (0.048) Loss 2.2816 (2.2898) Prec@1 48.438 (47.636) Prec@5 71.484 (72.983)
Epoch: [59][1660/5005] Time 0.208 (0.211) Data 0.049 (0.048) Loss 2.2071 (2.2893) Prec@1 48.828 (47.651) Prec@5 73.828 (72.987)
Epoch: [59][1670/5005] Time 0.206 (0.211) Data 0.044 (0.048) Loss 2.0281 (2.2892) Prec@1 52.344 (47.650) Prec@5 75.391 (72.989)
Epoch: [59][1680/5005] Time 0.197 (0.211) Data 0.044 (0.048) Loss 2.4490 (2.2896) Prec@1 47.656 (47.649) Prec@5 68.750 (72.981)
Epoch: [59][1690/5005] Time 0.209 (0.211) Data 0.042 (0.048) Loss 2.1336 (2.2892) Prec@1 51.172 (47.657) Prec@5 76.172 (72.991)
Epoch: [59][1700/5005] Time 0.209 (0.211) Data 0.043 (0.048) Loss 2.2506 (2.2887) Prec@1 50.391 (47.664) Prec@5 73.438 (72.997)
Epoch: [59][1710/5005] Time 0.208 (0.211) Data 0.042 (0.048) Loss 2.1640 (2.2883) Prec@1 48.047 (47.671) Prec@5 73.828 (73.004)
Epoch: [59][1720/5005] Time 0.207 (0.211) Data 0.041 (0.048) Loss 2.3511 (2.2884) Prec@1 44.531 (47.659) Prec@5 73.828 (73.004)
Epoch: [59][1730/5005] Time 0.211 (0.211) Data 0.044 (0.048) Loss 2.1967 (2.2886) Prec@1 47.266 (47.650) Prec@5 73.828 (73.005)
Epoch: [59][1740/5005] Time 0.215 (0.211) Data 0.044 (0.048) Loss 2.5054 (2.2885) Prec@1 40.625 (47.651) Prec@5 68.750 (73.009)
Epoch: [59][1750/5005] Time 0.209 (0.211) Data 0.045 (0.048) Loss 2.2379 (2.2881) Prec@1 48.438 (47.658) Prec@5 74.609 (73.012)
Epoch: [59][1760/5005] Time 0.216 (0.211) Data 0.046 (0.048) Loss 1.9896 (2.2879) Prec@1 53.516 (47.659) Prec@5 79.688 (73.018)
Epoch: [59][1770/5005] Time 0.212 (0.211) Data 0.044 (0.048) Loss 2.3622 (2.2877) Prec@1 46.094 (47.664) Prec@5 72.656 (73.025)
Epoch: [59][1780/5005] Time 0.204 (0.211) Data 0.048 (0.048) Loss 2.0601 (2.2875) Prec@1 51.562 (47.673) Prec@5 75.781 (73.026)
Epoch: [59][1790/5005] Time 0.210 (0.211) Data 0.049 (0.048) Loss 2.1633 (2.2872) Prec@1 46.484 (47.677) Prec@5 76.172 (73.030)
Epoch: [59][1800/5005] Time 0.203 (0.211) Data 0.048 (0.048) Loss 2.2085 (2.2869) Prec@1 46.484 (47.688) Prec@5 74.609 (73.028)
Epoch: [59][1810/5005] Time 0.204 (0.211) Data 0.062 (0.048) Loss 2.1095 (2.2866) Prec@1 54.688 (47.694) Prec@5 74.609 (73.035)
Epoch: [59][1820/5005] Time 0.206 (0.211) Data 0.041 (0.048) Loss 2.3276 (2.2865) Prec@1 46.875 (47.697) Prec@5 73.047 (73.037)
Epoch: [59][1830/5005] Time 0.208 (0.211) Data 0.051 (0.048) Loss 2.0879 (2.2861) Prec@1 52.734 (47.704) Prec@5 76.172 (73.042)
Epoch: [59][1840/5005] Time 0.209 (0.211) Data 0.043 (0.048) Loss 2.3205 (2.2859) Prec@1 45.703 (47.709) Prec@5 72.266 (73.041)
Epoch: [59][1850/5005] Time 0.210 (0.211) Data 0.046 (0.048) Loss 2.3084 (2.2857) Prec@1 48.438 (47.712) Prec@5 73.828 (73.043)
Epoch: [59][1860/5005] Time 0.214 (0.211) Data 0.042 (0.048) Loss 2.2406 (2.2857) Prec@1 47.266 (47.714) Prec@5 74.609 (73.043)
Epoch: [59][1870/5005] Time 0.219 (0.211) Data 0.046 (0.048) Loss 2.4157 (2.2859) Prec@1 41.797 (47.707) Prec@5 71.875 (73.042)
Epoch: [59][1880/5005] Time 0.211 (0.211) Data 0.041 (0.048) Loss 2.2168 (2.2859) Prec@1 51.172 (47.707) Prec@5 73.438 (73.045)
Epoch: [59][1890/5005] Time 0.212 (0.211) Data 0.042 (0.048) Loss 2.4208 (2.2858) Prec@1 46.484 (47.713) Prec@5 72.266 (73.047)
Epoch: [59][1900/5005] Time 0.208 (0.211) Data 0.040 (0.048) Loss 2.2719 (2.2864) Prec@1 48.047 (47.700) Prec@5 74.609 (73.038)
Epoch: [59][1910/5005] Time 0.215 (0.211) Data 0.045 (0.048) Loss 2.3286 (2.2863) Prec@1 47.656 (47.700) Prec@5 71.875 (73.038)
Epoch: [59][1920/5005] Time 0.204 (0.211) Data 0.042 (0.048) Loss 2.2019 (2.2859) Prec@1 48.047 (47.702) Prec@5 75.391 (73.046)
Epoch: [59][1930/5005] Time 0.207 (0.211) Data 0.046 (0.048) Loss 2.0947 (2.2856) Prec@1 51.953 (47.708) Prec@5 75.781 (73.051)
Epoch: [59][1940/5005] Time 0.209 (0.211) Data 0.043 (0.048) Loss 2.1548 (2.2853) Prec@1 52.734 (47.709) Prec@5 75.000 (73.060)
Epoch: [59][1950/5005] Time 0.203 (0.211) Data 0.044 (0.048) Loss 2.4129 (2.2853) Prec@1 44.531 (47.705) Prec@5 70.703 (73.067)
Epoch: [59][1960/5005] Time 0.210 (0.211) Data 0.044 (0.048) Loss 2.2578 (2.2850) Prec@1 45.703 (47.711) Prec@5 75.391 (73.073)
Epoch: [59][1970/5005] Time 0.206 (0.211) Data 0.046 (0.048) Loss 2.2821 (2.2853) Prec@1 47.266 (47.706) Prec@5 72.266 (73.066)
Epoch: [59][1980/5005] Time 0.195 (0.211) Data 0.057 (0.048) Loss 2.1891 (2.2851) Prec@1 46.875 (47.709) Prec@5 71.484 (73.070)
Epoch: [59][1990/5005] Time 0.203 (0.211) Data 0.057 (0.048) Loss 2.2222 (2.2850) Prec@1 48.438 (47.715) Prec@5 71.484 (73.069)
Epoch: [59][2000/5005] Time 0.198 (0.211) Data 0.058 (0.048) Loss 2.1763 (2.2853) Prec@1 50.391 (47.709) Prec@5 74.609 (73.065)
Epoch: [59][2010/5005] Time 0.195 (0.211) Data 0.054 (0.048) Loss 2.0632 (2.2853) Prec@1 53.516 (47.710) Prec@5 74.219 (73.063)
Epoch: [59][2020/5005] Time 0.206 (0.211) Data 0.044 (0.048) Loss 2.2674 (2.2853) Prec@1 50.781 (47.713) Prec@5 73.828 (73.065)
Epoch: [59][2030/5005] Time 0.209 (0.211) Data 0.044 (0.048) Loss 2.3535 (2.2853) Prec@1 46.875 (47.716) Prec@5 74.219 (73.065)
Epoch: [59][2040/5005] Time 0.211 (0.211) Data 0.043 (0.048) Loss 1.9697 (2.2851) Prec@1 53.125 (47.721) Prec@5 79.297 (73.069)
Epoch: [59][2050/5005] Time 0.207 (0.211) Data 0.041 (0.048) Loss 2.3662 (2.2850) Prec@1 48.047 (47.721) Prec@5 71.094 (73.069)
Epoch: [59][2060/5005] Time 0.200 (0.211) Data 0.043 (0.048) Loss 2.2541 (2.2849) Prec@1 46.875 (47.724) Prec@5 71.484 (73.069)
Epoch: [59][2070/5005] Time 0.214 (0.211) Data 0.042 (0.048) Loss 2.5084 (2.2852) Prec@1 43.359 (47.718) Prec@5 69.922 (73.068)
Epoch: [59][2080/5005] Time 0.216 (0.211) Data 0.042 (0.048) Loss 2.3536 (2.2854) Prec@1 47.266 (47.709) Prec@5 73.047 (73.064)
Epoch: [59][2090/5005] Time 0.203 (0.211) Data 0.062 (0.048) Loss 2.0890 (2.2851) Prec@1 49.219 (47.718) Prec@5 77.734 (73.068)
Epoch: [59][2100/5005] Time 0.199 (0.211) Data 0.050 (0.048) Loss 2.3122 (2.2850) Prec@1 45.703 (47.713) Prec@5 72.656 (73.067)
Epoch: [59][2110/5005] Time 0.194 (0.211) Data 0.058 (0.048) Loss 1.9849 (2.2851) Prec@1 52.344 (47.717) Prec@5 76.562 (73.062)
Epoch: [59][2120/5005] Time 0.197 (0.211) Data 0.054 (0.048) Loss 2.4739 (2.2852) Prec@1 48.047 (47.718) Prec@5 69.531 (73.058)
Epoch: [59][2130/5005] Time 0.198 (0.211) Data 0.046 (0.048) Loss 2.2496 (2.2847) Prec@1 48.047 (47.726) Prec@5 74.609 (73.064)
Epoch: [59][2140/5005] Time 0.212 (0.211) Data 0.048 (0.048) Loss 2.1334 (2.2847) Prec@1 51.953 (47.724) Prec@5 75.781 (73.061)
Epoch: [59][2150/5005] Time 0.202 (0.211) Data 0.042 (0.048) Loss 2.1015 (2.2846) Prec@1 50.781 (47.729) Prec@5 76.172 (73.062)
Epoch: [59][2160/5005] Time 0.203 (0.211) Data 0.045 (0.048) Loss 2.2259 (2.2846) Prec@1 49.219 (47.727) Prec@5 76.172 (73.065)
Epoch: [59][2170/5005] Time 0.207 (0.211) Data 0.047 (0.048) Loss 2.1852 (2.2844) Prec@1 48.828 (47.726) Prec@5 74.219 (73.070)
Epoch: [59][2180/5005] Time 0.203 (0.211) Data 0.049 (0.048) Loss 2.3214 (2.2844) Prec@1 49.219 (47.724) Prec@5 69.531 (73.071)
Epoch: [59][2190/5005] Time 0.199 (0.211) Data 0.043 (0.048) Loss 2.5574 (2.2845) Prec@1 43.750 (47.721) Prec@5 65.625 (73.069)
Epoch: [59][2200/5005] Time 0.204 (0.211) Data 0.041 (0.048) Loss 2.2414 (2.2846) Prec@1 48.828 (47.720) Prec@5 72.266 (73.067)
Epoch: [59][2210/5005] Time 0.208 (0.211) Data 0.044 (0.048) Loss 2.4740 (2.2849) Prec@1 45.312 (47.712) Prec@5 69.922 (73.063)
Epoch: [59][2220/5005] Time 0.208 (0.211) Data 0.057 (0.048) Loss 2.4917 (2.2849) Prec@1 45.703 (47.712) Prec@5 67.969 (73.058)
Epoch: [59][2230/5005] Time 0.202 (0.211) Data 0.053 (0.048) Loss 2.2524 (2.2847) Prec@1 46.875 (47.713) Prec@5 75.000 (73.060)
Epoch: [59][2240/5005] Time 0.203 (0.211) Data 0.056 (0.048) Loss 2.2907 (2.2848) Prec@1 47.266 (47.707) Prec@5 73.438 (73.058)
Epoch: [59][2250/5005] Time 0.196 (0.211) Data 0.050 (0.048) Loss 2.0860 (2.2848) Prec@1 49.609 (47.708) Prec@5 75.000 (73.054)
Epoch: [59][2260/5005] Time 0.212 (0.211) Data 0.045 (0.048) Loss 2.2851 (2.2845) Prec@1 43.359 (47.711) Prec@5 72.656 (73.058)
Epoch: [59][2270/5005] Time 0.203 (0.211) Data 0.044 (0.048) Loss 2.4953 (2.2842) Prec@1 43.359 (47.719) Prec@5 67.578 (73.061)
Epoch: [59][2280/5005] Time 0.208 (0.211) Data 0.046 (0.048) Loss 2.3066 (2.2841) Prec@1 46.875 (47.727) Prec@5 72.266 (73.062)
Epoch: [59][2290/5005] Time 0.208 (0.211) Data 0.046 (0.048) Loss 2.1784 (2.2841) Prec@1 49.609 (47.728) Prec@5 75.781 (73.059)
Epoch: [59][2300/5005] Time 0.200 (0.211) Data 0.047 (0.048) Loss 2.1866 (2.2840) Prec@1 50.781 (47.729) Prec@5 73.828 (73.061)
Epoch: [59][2310/5005] Time 0.207 (0.211) Data 0.058 (0.048) Loss 2.2224 (2.2840) Prec@1 46.875 (47.732) Prec@5 73.828 (73.059)
Epoch: [59][2320/5005] Time 0.210 (0.211) Data 0.057 (0.048) Loss 2.4184 (2.2839) Prec@1 42.578 (47.732) Prec@5 71.875 (73.061)
Epoch: [59][2330/5005] Time 0.206 (0.211) Data 0.047 (0.048) Loss 2.1844 (2.2837) Prec@1 52.734 (47.738) Prec@5 73.828 (73.064)
Epoch: [59][2340/5005] Time 0.208 (0.211) Data 0.043 (0.048) Loss 2.2988 (2.2836) Prec@1 47.266 (47.738) Prec@5 72.266 (73.064)
Epoch: [59][2350/5005] Time 0.209 (0.211) Data 0.041 (0.048) Loss 2.2372 (2.2834) Prec@1 48.438 (47.740) Prec@5 71.875 (73.068)
Epoch: [59][2360/5005] Time 0.208 (0.211) Data 0.042 (0.048) Loss 2.3394 (2.2835) Prec@1 45.312 (47.738) Prec@5 70.312 (73.071)
Epoch: [59][2370/5005] Time 0.209 (0.211) Data 0.043 (0.048) Loss 2.2660 (2.2837) Prec@1 43.359 (47.732) Prec@5 71.875 (73.067)
Epoch: [59][2380/5005] Time 0.210 (0.211) Data 0.041 (0.048) Loss 2.3218 (2.2834) Prec@1 49.219 (47.739) Prec@5 73.047 (73.077)
Epoch: [59][2390/5005] Time 0.208 (0.211) Data 0.045 (0.048) Loss 2.3064 (2.2832) Prec@1 45.312 (47.744) Prec@5 73.047 (73.078)
Epoch: [59][2400/5005] Time 0.208 (0.211) Data 0.046 (0.048) Loss 2.2902 (2.2831) Prec@1 47.656 (47.746) Prec@5 73.047 (73.080)
Epoch: [59][2410/5005] Time 0.203 (0.211) Data 0.048 (0.048) Loss 2.3994 (2.2831) Prec@1 42.188 (47.748) Prec@5 73.438 (73.079)
Epoch: [59][2420/5005] Time 0.205 (0.211) Data 0.046 (0.048) Loss 2.2570 (2.2829) Prec@1 49.219 (47.757) Prec@5 73.047 (73.081)
Epoch: [59][2430/5005] Time 0.197 (0.211) Data 0.045 (0.048) Loss 2.0932 (2.2830) Prec@1 48.438 (47.753) Prec@5 75.391 (73.075)
Epoch: [59][2440/5005] Time 0.203 (0.211) Data 0.047 (0.048) Loss 2.0648 (2.2829) Prec@1 51.172 (47.757) Prec@5 75.781 (73.079)
Epoch: [59][2450/5005] Time 0.210 (0.211) Data 0.048 (0.048) Loss 2.2602 (2.2828) Prec@1 48.047 (47.757) Prec@5 73.047 (73.079)
Epoch: [59][2460/5005] Time 0.193 (0.211) Data 0.059 (0.048) Loss 2.2246 (2.2827) Prec@1 51.953 (47.758) Prec@5 75.000 (73.081)
Epoch: [59][2470/5005] Time 0.210 (0.211) Data 0.050 (0.048) Loss 2.1319 (2.2825) Prec@1 49.609 (47.761) Prec@5 73.047 (73.084)
Epoch: [59][2480/5005] Time 0.190 (0.211) Data 0.048 (0.048) Loss 2.3806 (2.2826) Prec@1 48.438 (47.760) Prec@5 70.703 (73.084)
Epoch: [59][2490/5005] Time 0.210 (0.211) Data 0.050 (0.048) Loss 2.1134 (2.2826) Prec@1 49.609 (47.764) Prec@5 75.000 (73.082)
Epoch: [59][2500/5005] Time 0.195 (0.211) Data 0.050 (0.048) Loss 2.2921 (2.2826) Prec@1 46.484 (47.766) Prec@5 73.438 (73.085)
Epoch: [59][2510/5005] Time 0.203 (0.211) Data 0.045 (0.048) Loss 2.2964 (2.2825) Prec@1 46.094 (47.764) Prec@5 75.781 (73.085)
Epoch: [59][2520/5005] Time 0.207 (0.211) Data 0.045 (0.048) Loss 2.1850 (2.2824) Prec@1 50.781 (47.768) Prec@5 74.219 (73.085)
Epoch: [59][2530/5005] Time 0.203 (0.211) Data 0.066 (0.048) Loss 2.4312 (2.2823) Prec@1 43.750 (47.766) Prec@5 68.359 (73.090)
Epoch: [59][2540/5005] Time 0.208 (0.211) Data 0.060 (0.048) Loss 2.3483 (2.2823) Prec@1 49.219 (47.770) Prec@5 72.266 (73.089)
Epoch: [59][2550/5005] Time 0.206 (0.211) Data 0.049 (0.048) Loss 2.2418 (2.2821) Prec@1 44.922 (47.771) Prec@5 73.828 (73.094)
Epoch: [59][2560/5005] Time 0.209 (0.211) Data 0.042 (0.048) Loss 2.4735 (2.2822) Prec@1 42.188 (47.770) Prec@5 67.578 (73.092)
Epoch: [59][2570/5005] Time 0.205 (0.211) Data 0.038 (0.048) Loss 2.3497 (2.2825) Prec@1 44.141 (47.764) Prec@5 72.656 (73.089)
Epoch: [59][2580/5005] Time 0.213 (0.211) Data 0.045 (0.048) Loss 2.3481 (2.2828) Prec@1 48.047 (47.760) Prec@5 71.484 (73.086)
Epoch: [59][2590/5005] Time 0.210 (0.211) Data 0.044 (0.048) Loss 2.2917 (2.2826) Prec@1 48.828 (47.766) Prec@5 74.219 (73.087)
Epoch: [59][2600/5005] Time 0.212 (0.211) Data 0.044 (0.048) Loss 2.3475 (2.2828) Prec@1 52.734 (47.765) Prec@5 74.609 (73.082)
Epoch: [59][2610/5005] Time 0.214 (0.211) Data 0.045 (0.048) Loss 2.4846 (2.2827) Prec@1 42.578 (47.768) Prec@5 69.922 (73.086)
Epoch: [59][2620/5005] Time 0.214 (0.211) Data 0.045 (0.048) Loss 2.4482 (2.2828) Prec@1 46.094 (47.769) Prec@5 68.359 (73.081)
Epoch: [59][2630/5005] Time 0.199 (0.211) Data 0.063 (0.048) Loss 2.4079 (2.2832) Prec@1 44.141 (47.768) Prec@5 72.656 (73.073)
Epoch: [59][2640/5005] Time 0.210 (0.211) Data 0.050 (0.048) Loss 2.4153 (2.2831) Prec@1 44.531 (47.763) Prec@5 70.312 (73.075)
Epoch: [59][2650/5005] Time 0.203 (0.210) Data 0.056 (0.048) Loss 2.6317 (2.2833) Prec@1 42.188 (47.762) Prec@5 64.844 (73.071)
Epoch: [59][2660/5005] Time 0.193 (0.210) Data 0.046 (0.048) Loss 2.3133 (2.2833) Prec@1 47.266 (47.763) Prec@5 73.047 (73.067)
Epoch: [59][2670/5005] Time 0.205 (0.210) Data 0.042 (0.048) Loss 1.9570 (2.2830) Prec@1 53.125 (47.766) Prec@5 80.078 (73.071)
Epoch: [59][2680/5005] Time 0.203 (0.210) Data 0.044 (0.048) Loss 2.2136 (2.2830) Prec@1 48.047 (47.762) Prec@5 71.875 (73.069)
Epoch: [59][2690/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.1008 (2.2829) Prec@1 53.125 (47.767) Prec@5 74.609 (73.069)
Epoch: [59][2700/5005] Time 0.198 (0.210) Data 0.060 (0.048) Loss 2.1106 (2.2829) Prec@1 45.703 (47.764) Prec@5 75.781 (73.072)
Epoch: [59][2710/5005] Time 0.205 (0.210) Data 0.059 (0.048) Loss 2.0350 (2.2830) Prec@1 52.734 (47.762) Prec@5 76.562 (73.071)
Epoch: [59][2720/5005] Time 0.212 (0.210) Data 0.048 (0.048) Loss 2.1856 (2.2830) Prec@1 53.906 (47.762) Prec@5 74.219 (73.073)
Epoch: [59][2730/5005] Time 0.217 (0.210) Data 0.065 (0.048) Loss 2.2746 (2.2827) Prec@1 46.484 (47.760) Prec@5 69.531 (73.076)
Epoch: [59][2740/5005] Time 0.208 (0.210) Data 0.050 (0.048) Loss 2.2422 (2.2825) Prec@1 49.609 (47.765) Prec@5 73.438 (73.076)
Epoch: [59][2750/5005] Time 0.208 (0.210) Data 0.053 (0.048) Loss 2.2569 (2.2824) Prec@1 45.312 (47.765) Prec@5 72.266 (73.075)
Epoch: [59][2760/5005] Time 0.208 (0.210) Data 0.050 (0.048) Loss 2.2087 (2.2822) Prec@1 46.875 (47.767) Prec@5 73.047 (73.082)
Epoch: [59][2770/5005] Time 0.202 (0.210) Data 0.052 (0.048) Loss 2.2303 (2.2822) Prec@1 50.391 (47.769) Prec@5 73.828 (73.083)
Epoch: [59][2780/5005] Time 0.213 (0.210) Data 0.053 (0.048) Loss 2.4416 (2.2822) Prec@1 49.219 (47.772) Prec@5 69.141 (73.081)
Epoch: [59][2790/5005] Time 0.211 (0.210) Data 0.048 (0.048) Loss 2.5863 (2.2823) Prec@1 37.500 (47.770) Prec@5 68.750 (73.078)
Epoch: [59][2800/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.1828 (2.2822) Prec@1 49.219 (47.771) Prec@5 75.391 (73.080)
Epoch: [59][2810/5005] Time 0.203 (0.210) Data 0.044 (0.048) Loss 2.4556 (2.2822) Prec@1 46.875 (47.770) Prec@5 71.484 (73.078)
Epoch: [59][2820/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 1.8878 (2.2820) Prec@1 54.297 (47.771) Prec@5 80.469 (73.078)
Epoch: [59][2830/5005] Time 0.212 (0.210) Data 0.059 (0.048) Loss 2.4843 (2.2820) Prec@1 46.875 (47.769) Prec@5 69.922 (73.078)
Epoch: [59][2840/5005] Time 0.217 (0.210) Data 0.042 (0.048) Loss 2.2572 (2.2820) Prec@1 50.391 (47.771) Prec@5 72.266 (73.078)
Epoch: [59][2850/5005] Time 0.215 (0.210) Data 0.046 (0.048) Loss 2.2655 (2.2819) Prec@1 50.781 (47.775) Prec@5 72.266 (73.079)
Epoch: [59][2860/5005] Time 0.213 (0.210) Data 0.044 (0.048) Loss 2.3016 (2.2820) Prec@1 47.656 (47.777) Prec@5 69.531 (73.080)
Epoch: [59][2870/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.2451 (2.2817) Prec@1 48.828 (47.783) Prec@5 73.047 (73.083)
Epoch: [59][2880/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.3039 (2.2817) Prec@1 44.141 (47.781) Prec@5 71.875 (73.082)
Epoch: [59][2890/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.2698 (2.2813) Prec@1 43.750 (47.791) Prec@5 72.266 (73.088)
Epoch: [59][2900/5005] Time 0.210 (0.210) Data 0.042 (0.048) Loss 1.8915 (2.2810) Prec@1 54.688 (47.796) Prec@5 80.078 (73.091)
Epoch: [59][2910/5005] Time 0.198 (0.210) Data 0.046 (0.048) Loss 2.2494 (2.2810) Prec@1 46.094 (47.792) Prec@5 75.391 (73.092)
Epoch: [59][2920/5005] Time 0.200 (0.210) Data 0.061 (0.048) Loss 2.4627 (2.2810) Prec@1 41.406 (47.790) Prec@5 73.047 (73.095)
Epoch: [59][2930/5005] Time 0.200 (0.210) Data 0.045 (0.048) Loss 2.3662 (2.2811) Prec@1 46.094 (47.789) Prec@5 71.094 (73.095)
Epoch: [59][2940/5005] Time 0.204 (0.210) Data 0.048 (0.048) Loss 2.3184 (2.2808) Prec@1 44.531 (47.791) Prec@5 73.047 (73.098)
Epoch: [59][2950/5005] Time 0.205 (0.210) Data 0.045 (0.048) Loss 2.2878 (2.2805) Prec@1 50.781 (47.796) Prec@5 72.656 (73.102)
Epoch: [59][2960/5005] Time 0.196 (0.210) Data 0.046 (0.048) Loss 2.2589 (2.2803) Prec@1 48.438 (47.801) Prec@5 71.094 (73.103)
Epoch: [59][2970/5005] Time 0.205 (0.210) Data 0.042 (0.048) Loss 2.3197 (2.2802) Prec@1 44.531 (47.804) Prec@5 74.609 (73.107)
Epoch: [59][2980/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.3527 (2.2803) Prec@1 44.141 (47.800) Prec@5 71.484 (73.104)
Epoch: [59][2990/5005] Time 0.208 (0.210) Data 0.045 (0.048) Loss 2.2528 (2.2802) Prec@1 52.734 (47.799) Prec@5 74.609 (73.107)
Epoch: [59][3000/5005] Time 0.204 (0.210) Data 0.047 (0.048) Loss 2.2712 (2.2800) Prec@1 48.047 (47.803) Prec@5 72.656 (73.109)
Epoch: [59][3010/5005] Time 0.212 (0.210) Data 0.039 (0.048) Loss 2.2346 (2.2800) Prec@1 48.438 (47.803) Prec@5 74.219 (73.108)
Epoch: [59][3020/5005] Time 0.209 (0.210) Data 0.042 (0.048) Loss 2.1939 (2.2801) Prec@1 47.656 (47.798) Prec@5 75.391 (73.104)
Epoch: [59][3030/5005] Time 0.209 (0.210) Data 0.042 (0.048) Loss 2.3923 (2.2801) Prec@1 48.438 (47.797) Prec@5 72.656 (73.105)
Epoch: [59][3040/5005] Time 0.203 (0.210) Data 0.046 (0.048) Loss 2.1694 (2.2800) Prec@1 47.656 (47.799) Prec@5 75.391 (73.104)
Epoch: [59][3050/5005] Time 0.213 (0.210) Data 0.048 (0.048) Loss 2.2339 (2.2800) Prec@1 42.969 (47.801) Prec@5 74.609 (73.104)
Epoch: [59][3060/5005] Time 0.209 (0.210) Data 0.047 (0.048) Loss 2.1852 (2.2799) Prec@1 51.953 (47.801) Prec@5 73.828 (73.107)
Epoch: [59][3070/5005] Time 0.206 (0.210) Data 0.042 (0.048) Loss 2.3083 (2.2800) Prec@1 48.438 (47.803) Prec@5 69.922 (73.104)
Epoch: [59][3080/5005] Time 0.203 (0.210) Data 0.047 (0.048) Loss 2.2313 (2.2800) Prec@1 47.266 (47.802) Prec@5 72.656 (73.103)
Epoch: [59][3090/5005] Time 0.200 (0.210) Data 0.049 (0.048) Loss 2.4898 (2.2799) Prec@1 41.016 (47.799) Prec@5 69.922 (73.105)
Epoch: [59][3100/5005] Time 0.201 (0.210) Data 0.063 (0.048) Loss 2.3749 (2.2801) Prec@1 48.828 (47.796) Prec@5 71.484 (73.103)
Epoch: [59][3110/5005] Time 0.203 (0.210) Data 0.053 (0.048) Loss 1.9879 (2.2799) Prec@1 51.172 (47.797) Prec@5 77.734 (73.108)
Epoch: [59][3120/5005] Time 0.219 (0.210) Data 0.042 (0.048) Loss 2.2884 (2.2798) Prec@1 51.562 (47.798) Prec@5 74.219 (73.108)
Epoch: [59][3130/5005] Time 0.207 (0.210) Data 0.048 (0.048) Loss 2.2947 (2.2797) Prec@1 42.969 (47.798) Prec@5 73.828 (73.108)
Epoch: [59][3140/5005] Time 0.195 (0.210) Data 0.046 (0.048) Loss 2.0063 (2.2795) Prec@1 52.344 (47.803) Prec@5 77.344 (73.108)
Epoch: [59][3150/5005] Time 0.210 (0.210) Data 0.061 (0.048) Loss 2.2172 (2.2794) Prec@1 49.609 (47.808) Prec@5 75.781 (73.111)
Epoch: [59][3160/5005] Time 0.203 (0.210) Data 0.043 (0.048) Loss 2.1670 (2.2793) Prec@1 50.781 (47.813) Prec@5 75.781 (73.112)
Epoch: [59][3170/5005] Time 0.210 (0.210) Data 0.046 (0.048) Loss 2.4003 (2.2793) Prec@1 45.312 (47.813) Prec@5 72.266 (73.111)
Epoch: [59][3180/5005] Time 0.200 (0.210) Data 0.057 (0.048) Loss 2.1895 (2.2793) Prec@1 49.609 (47.816) Prec@5 72.656 (73.113)
Epoch: [59][3190/5005] Time 0.204 (0.210) Data 0.061 (0.048) Loss 2.2983 (2.2793) Prec@1 49.219 (47.818) Prec@5 72.656 (73.113)
Epoch: [59][3200/5005] Time 0.208 (0.210) Data 0.041 (0.048) Loss 2.2930 (2.2791) Prec@1 44.922 (47.824) Prec@5 74.609 (73.118)
Epoch: [59][3210/5005] Time 0.204 (0.210) Data 0.061 (0.048) Loss 2.4509 (2.2792) Prec@1 48.828 (47.826) Prec@5 67.188 (73.116)
Epoch: [59][3220/5005] Time 0.217 (0.210) Data 0.045 (0.048) Loss 2.4026 (2.2792) Prec@1 47.656 (47.826) Prec@5 71.484 (73.117)
Epoch: [59][3230/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.1891 (2.2790) Prec@1 53.516 (47.832) Prec@5 73.047 (73.120)
Epoch: [59][3240/5005] Time 0.214 (0.210) Data 0.050 (0.048) Loss 2.5312 (2.2795) Prec@1 43.750 (47.821) Prec@5 71.094 (73.112)
Epoch: [59][3250/5005] Time 0.202 (0.210) Data 0.051 (0.048) Loss 2.1837 (2.2794) Prec@1 46.875 (47.819) Prec@5 76.562 (73.115)
Epoch: [59][3260/5005] Time 0.207 (0.210) Data 0.045 (0.048) Loss 2.1265 (2.2794) Prec@1 53.125 (47.820) Prec@5 74.609 (73.114)
Epoch: [59][3270/5005] Time 0.213 (0.210) Data 0.044 (0.048) Loss 2.3975 (2.2793) Prec@1 46.094 (47.818) Prec@5 71.094 (73.112)
Epoch: [59][3280/5005] Time 0.208 (0.210) Data 0.042 (0.048) Loss 2.1753 (2.2793) Prec@1 51.172 (47.817) Prec@5 74.219 (73.112)
Epoch: [59][3290/5005] Time 0.208 (0.210) Data 0.044 (0.048) Loss 2.2557 (2.2791) Prec@1 49.219 (47.821) Prec@5 74.609 (73.116)
Epoch: [59][3300/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.1864 (2.2791) Prec@1 48.828 (47.821) Prec@5 73.047 (73.116)
Epoch: [59][3310/5005] Time 0.214 (0.210) Data 0.043 (0.048) Loss 2.1531 (2.2790) Prec@1 49.609 (47.824) Prec@5 75.000 (73.116)
Epoch: [59][3320/5005] Time 0.198 (0.210) Data 0.046 (0.048) Loss 2.2606 (2.2790) Prec@1 48.828 (47.823) Prec@5 71.484 (73.115)
Epoch: [59][3330/5005] Time 0.215 (0.210) Data 0.043 (0.048) Loss 2.3323 (2.2790) Prec@1 44.922 (47.822) Prec@5 72.266 (73.114)
Epoch: [59][3340/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.2151 (2.2789) Prec@1 47.656 (47.821) Prec@5 75.391 (73.118)
Epoch: [59][3350/5005] Time 0.208 (0.210) Data 0.041 (0.048) Loss 2.4671 (2.2789) Prec@1 44.922 (47.822) Prec@5 70.703 (73.119)
Epoch: [59][3360/5005] Time 0.208 (0.210) Data 0.047 (0.048) Loss 2.1134 (2.2788) Prec@1 50.000 (47.825) Prec@5 74.609 (73.118)
Epoch: [59][3370/5005] Time 0.206 (0.210) Data 0.041 (0.048) Loss 2.3059 (2.2787) Prec@1 45.703 (47.826) Prec@5 76.172 (73.121)
Epoch: [59][3380/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.1807 (2.2786) Prec@1 48.828 (47.829) Prec@5 76.562 (73.123)
Epoch: [59][3390/5005] Time 0.208 (0.210) Data 0.044 (0.048) Loss 2.1328 (2.2787) Prec@1 51.562 (47.826) Prec@5 77.734 (73.122)
Epoch: [59][3400/5005] Time 0.201 (0.210) Data 0.045 (0.048) Loss 2.1732 (2.2788) Prec@1 50.781 (47.828) Prec@5 74.219 (73.119)
Epoch: [59][3410/5005] Time 0.201 (0.210) Data 0.043 (0.048) Loss 2.1831 (2.2786) Prec@1 51.562 (47.830) Prec@5 74.609 (73.122)
Epoch: [59][3420/5005] Time 0.207 (0.210) Data 0.048 (0.048) Loss 2.0527 (2.2785) Prec@1 49.219 (47.831) Prec@5 78.516 (73.122)
Epoch: [59][3430/5005] Time 0.209 (0.210) Data 0.042 (0.048) Loss 2.2070 (2.2785) Prec@1 50.000 (47.831) Prec@5 73.047 (73.122)
Epoch: [59][3440/5005] Time 0.212 (0.210) Data 0.041 (0.048) Loss 2.2440 (2.2783) Prec@1 48.047 (47.834) Prec@5 71.094 (73.124)
Epoch: [59][3450/5005] Time 0.194 (0.210) Data 0.044 (0.048) Loss 2.0447 (2.2782) Prec@1 53.906 (47.837) Prec@5 73.828 (73.123)
Epoch: [59][3460/5005] Time 0.213 (0.210) Data 0.044 (0.048) Loss 2.2380 (2.2783) Prec@1 49.609 (47.838) Prec@5 75.000 (73.124)
Epoch: [59][3470/5005] Time 0.213 (0.210) Data 0.046 (0.048) Loss 2.1651 (2.2782) Prec@1 51.562 (47.838) Prec@5 73.828 (73.125)
Epoch: [59][3480/5005] Time 0.199 (0.210) Data 0.052 (0.048) Loss 2.2216 (2.2779) Prec@1 48.438 (47.839) Prec@5 73.828 (73.129)
Epoch: [59][3490/5005] Time 0.211 (0.210) Data 0.046 (0.048) Loss 2.4683 (2.2780) Prec@1 39.062 (47.839) Prec@5 70.312 (73.129)
Epoch: [59][3500/5005] Time 0.201 (0.210) Data 0.057 (0.048) Loss 1.9977 (2.2779) Prec@1 51.953 (47.840) Prec@5 79.297 (73.130)
Epoch: [59][3510/5005] Time 0.210 (0.210) Data 0.046 (0.048) Loss 2.1746 (2.2779) Prec@1 49.219 (47.840) Prec@5 73.438 (73.131)
Epoch: [59][3520/5005] Time 0.199 (0.210) Data 0.056 (0.048) Loss 2.4008 (2.2779) Prec@1 47.656 (47.841) Prec@5 69.531 (73.129)
Epoch: [59][3530/5005] Time 0.198 (0.210) Data 0.044 (0.048) Loss 2.1891 (2.2777) Prec@1 50.391 (47.846) Prec@5 75.000 (73.133)
Epoch: [59][3540/5005] Time 0.207 (0.210) Data 0.043 (0.048) Loss 2.2004 (2.2776) Prec@1 50.391 (47.850) Prec@5 75.391 (73.130)
Epoch: [59][3550/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.2594 (2.2773) Prec@1 46.875 (47.853) Prec@5 71.484 (73.137)
Epoch: [59][3560/5005] Time 0.207 (0.210) Data 0.046 (0.048) Loss 2.2912 (2.2772) Prec@1 48.047 (47.850) Prec@5 71.094 (73.136)
Epoch: [59][3570/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.2790 (2.2772) Prec@1 47.656 (47.846) Prec@5 72.266 (73.136)
Epoch: [59][3580/5005] Time 0.209 (0.210) Data 0.042 (0.048) Loss 2.1182 (2.2773) Prec@1 53.516 (47.847) Prec@5 76.562 (73.136)
Epoch: [59][3590/5005] Time 0.204 (0.210) Data 0.043 (0.048) Loss 2.3463 (2.2770) Prec@1 45.312 (47.852) Prec@5 70.312 (73.139)
Epoch: [59][3600/5005] Time 0.215 (0.210) Data 0.043 (0.048) Loss 2.2666 (2.2768) Prec@1 47.656 (47.857) Prec@5 73.828 (73.142)
Epoch: [59][3610/5005] Time 0.207 (0.210) Data 0.042 (0.048) Loss 2.0183 (2.2767) Prec@1 53.906 (47.858) Prec@5 76.953 (73.142)
Epoch: [59][3620/5005] Time 0.205 (0.210) Data 0.045 (0.048) Loss 2.3402 (2.2764) Prec@1 46.484 (47.864) Prec@5 71.484 (73.147)
Epoch: [59][3630/5005] Time 0.203 (0.210) Data 0.044 (0.048) Loss 2.5224 (2.2764) Prec@1 41.797 (47.865) Prec@5 67.969 (73.147)
Epoch: [59][3640/5005] Time 0.213 (0.210) Data 0.046 (0.048) Loss 2.1955 (2.2764) Prec@1 45.703 (47.867) Prec@5 74.219 (73.145)
Epoch: [59][3650/5005] Time 0.206 (0.210) Data 0.044 (0.048) Loss 1.9797 (2.2762) Prec@1 52.734 (47.869) Prec@5 77.344 (73.146)
Epoch: [59][3660/5005] Time 0.212 (0.210) Data 0.047 (0.048) Loss 2.4065 (2.2760) Prec@1 43.359 (47.871) Prec@5 70.703 (73.149)
Epoch: [59][3670/5005] Time 0.199 (0.210) Data 0.047 (0.048) Loss 2.4789 (2.2761) Prec@1 47.656 (47.869) Prec@5 73.438 (73.148)
Epoch: [59][3680/5005] Time 0.218 (0.210) Data 0.046 (0.048) Loss 2.1509 (2.2762) Prec@1 48.828 (47.868) Prec@5 74.609 (73.147)
Epoch: [59][3690/5005] Time 0.208 (0.210) Data 0.049 (0.048) Loss 2.0508 (2.2762) Prec@1 50.391 (47.871) Prec@5 77.344 (73.147)
Epoch: [59][3700/5005] Time 0.209 (0.210) Data 0.044 (0.048) Loss 2.3272 (2.2761) Prec@1 51.172 (47.876) Prec@5 73.438 (73.147)
Epoch: [59][3710/5005] Time 0.204 (0.210) Data 0.053 (0.048) Loss 2.1959 (2.2760) Prec@1 52.344 (47.879) Prec@5 73.828 (73.147)
Epoch: [59][3720/5005] Time 0.198 (0.210) Data 0.051 (0.048) Loss 2.2802 (2.2758) Prec@1 50.781 (47.882) Prec@5 73.047 (73.149)
Epoch: [59][3730/5005] Time 0.210 (0.210) Data 0.060 (0.048) Loss 2.0763 (2.2757) Prec@1 50.781 (47.885) Prec@5 78.516 (73.150)
Epoch: [59][3740/5005] Time 0.197 (0.210) Data 0.058 (0.048) Loss 2.1628 (2.2754) Prec@1 53.906 (47.893) Prec@5 73.828 (73.155)
Epoch: [59][3750/5005] Time 0.205 (0.210) Data 0.042 (0.048) Loss 2.0780 (2.2756) Prec@1 48.047 (47.890) Prec@5 76.562 (73.151)
Epoch: [59][3760/5005] Time 0.209 (0.210) Data 0.046 (0.048) Loss 2.3456 (2.2756) Prec@1 46.875 (47.889) Prec@5 70.312 (73.151)
Epoch: [59][3770/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.2966 (2.2753) Prec@1 47.266 (47.889) Prec@5 71.875 (73.154)
Epoch: [59][3780/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.2911 (2.2753) Prec@1 44.531 (47.890) Prec@5 73.828 (73.154)
Epoch: [59][3790/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.3094 (2.2753) Prec@1 46.094 (47.886) Prec@5 74.219 (73.155)
Epoch: [59][3800/5005] Time 0.198 (0.210) Data 0.044 (0.048) Loss 2.2381 (2.2755) Prec@1 49.609 (47.886) Prec@5 76.172 (73.153)
Epoch: [59][3810/5005] Time 0.202 (0.210) Data 0.056 (0.048) Loss 2.2094 (2.2755) Prec@1 49.219 (47.884) Prec@5 72.656 (73.152)
Epoch: [59][3820/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.1368 (2.2754) Prec@1 51.562 (47.887) Prec@5 74.219 (73.152)
Epoch: [59][3830/5005] Time 0.206 (0.210) Data 0.063 (0.048) Loss 2.1834 (2.2752) Prec@1 48.438 (47.890) Prec@5 75.000 (73.156)
Epoch: [59][3840/5005] Time 0.214 (0.210) Data 0.044 (0.048) Loss 2.4079 (2.2752) Prec@1 42.578 (47.887) Prec@5 68.750 (73.156)
Epoch: [59][3850/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.4041 (2.2752) Prec@1 45.703 (47.890) Prec@5 70.703 (73.160)
Epoch: [59][3860/5005] Time 0.205 (0.210) Data 0.044 (0.048) Loss 2.1154 (2.2752) Prec@1 52.734 (47.890) Prec@5 75.391 (73.156)
Epoch: [59][3870/5005] Time 0.349 (0.210) Data 0.041 (0.048) Loss 2.2287 (2.2753) Prec@1 49.219 (47.885) Prec@5 73.438 (73.154)
Epoch: [59][3880/5005] Time 0.205 (0.210) Data 0.054 (0.048) Loss 2.1982 (2.2753) Prec@1 52.344 (47.886) Prec@5 75.000 (73.154)
Epoch: [59][3890/5005] Time 0.191 (0.210) Data 0.059 (0.048) Loss 2.5384 (2.2753) Prec@1 42.969 (47.885) Prec@5 69.141 (73.152)
Epoch: [59][3900/5005] Time 0.207 (0.210) Data 0.043 (0.048) Loss 2.5589 (2.2754) Prec@1 42.969 (47.884) Prec@5 71.094 (73.150)
Epoch: [59][3910/5005] Time 0.212 (0.210) Data 0.041 (0.048) Loss 2.3177 (2.2755) Prec@1 47.656 (47.883) Prec@5 74.609 (73.148)
Epoch: [59][3920/5005] Time 0.205 (0.210) Data 0.048 (0.048) Loss 2.1721 (2.2755) Prec@1 47.266 (47.883) Prec@5 74.219 (73.148)
Epoch: [59][3930/5005] Time 0.213 (0.210) Data 0.047 (0.048) Loss 2.1566 (2.2752) Prec@1 50.000 (47.887) Prec@5 75.000 (73.152)
Epoch: [59][3940/5005] Time 0.205 (0.210) Data 0.047 (0.048) Loss 2.2200 (2.2752) Prec@1 51.953 (47.888) Prec@5 73.438 (73.152)
Epoch: [59][3950/5005] Time 0.209 (0.210) Data 0.052 (0.048) Loss 2.1689 (2.2750) Prec@1 53.516 (47.893) Prec@5 75.391 (73.156)
Epoch: [59][3960/5005] Time 0.199 (0.210) Data 0.047 (0.048) Loss 2.3305 (2.2750) Prec@1 45.312 (47.892) Prec@5 72.656 (73.156)
Epoch: [59][3970/5005] Time 0.205 (0.210) Data 0.046 (0.048) Loss 2.1510 (2.2749) Prec@1 50.391 (47.891) Prec@5 74.609 (73.156)
Epoch: [59][3980/5005] Time 0.213 (0.210) Data 0.047 (0.048) Loss 2.1520 (2.2748) Prec@1 49.609 (47.892) Prec@5 76.172 (73.158)
Epoch: [59][3990/5005] Time 0.208 (0.210) Data 0.058 (0.048) Loss 2.3202 (2.2748) Prec@1 49.219 (47.892) Prec@5 71.875 (73.158)
Epoch: [59][4000/5005] Time 0.208 (0.210) Data 0.045 (0.048) Loss 2.2027 (2.2747) Prec@1 47.656 (47.890) Prec@5 73.828 (73.158)
Epoch: [59][4010/5005] Time 0.213 (0.210) Data 0.046 (0.048) Loss 2.3316 (2.2745) Prec@1 44.531 (47.896) Prec@5 70.312 (73.161)
Epoch: [59][4020/5005] Time 0.199 (0.210) Data 0.047 (0.048) Loss 2.3969 (2.2745) Prec@1 48.828 (47.897) Prec@5 68.359 (73.160)
Epoch: [59][4030/5005] Time 0.205 (0.210) Data 0.041 (0.048) Loss 2.4445 (2.2747) Prec@1 47.656 (47.891) Prec@5 67.969 (73.155)
Epoch: [59][4040/5005] Time 0.206 (0.210) Data 0.048 (0.048) Loss 2.3123 (2.2748) Prec@1 50.000 (47.890) Prec@5 70.703 (73.153)
Epoch: [59][4050/5005] Time 0.212 (0.210) Data 0.045 (0.048) Loss 2.3310 (2.2747) Prec@1 46.484 (47.893) Prec@5 74.609 (73.156)
Epoch: [59][4060/5005] Time 0.214 (0.210) Data 0.043 (0.048) Loss 2.2659 (2.2747) Prec@1 44.922 (47.892) Prec@5 71.094 (73.155)
Epoch: [59][4070/5005] Time 0.214 (0.210) Data 0.044 (0.048) Loss 2.3572 (2.2748) Prec@1 46.094 (47.891) Prec@5 72.656 (73.155)
Epoch: [59][4080/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.1592 (2.2747) Prec@1 48.047 (47.894) Prec@5 73.438 (73.155)
Epoch: [59][4090/5005] Time 0.215 (0.210) Data 0.049 (0.048) Loss 2.3201 (2.2746) Prec@1 50.000 (47.899) Prec@5 70.703 (73.154)
Epoch: [59][4100/5005] Time 0.217 (0.210) Data 0.044 (0.048) Loss 2.2322 (2.2745) Prec@1 46.875 (47.899) Prec@5 73.438 (73.154)
Epoch: [59][4110/5005] Time 0.210 (0.210) Data 0.042 (0.048) Loss 2.3651 (2.2746) Prec@1 45.703 (47.896) Prec@5 71.094 (73.154)
Epoch: [59][4120/5005] Time 0.211 (0.210) Data 0.054 (0.048) Loss 2.2526 (2.2744) Prec@1 48.828 (47.899) Prec@5 75.781 (73.156)
Epoch: [59][4130/5005] Time 0.207 (0.210) Data 0.048 (0.048) Loss 2.3996 (2.2743) Prec@1 42.188 (47.899) Prec@5 72.656 (73.162)
Epoch: [59][4140/5005] Time 0.197 (0.210) Data 0.060 (0.048) Loss 2.3405 (2.2743) Prec@1 43.750 (47.898) Prec@5 71.484 (73.162)
Epoch: [59][4150/5005] Time 0.208 (0.210) Data 0.045 (0.048) Loss 2.3309 (2.2743) Prec@1 46.094 (47.898) Prec@5 73.828 (73.163)
Epoch: [59][4160/5005] Time 0.206 (0.210) Data 0.047 (0.048) Loss 2.2208 (2.2743) Prec@1 51.562 (47.901) Prec@5 74.219 (73.164)
Epoch: [59][4170/5005] Time 0.208 (0.210) Data 0.044 (0.048) Loss 2.2064 (2.2742) Prec@1 49.219 (47.905) Prec@5 73.438 (73.166)
Epoch: [59][4180/5005] Time 0.205 (0.210) Data 0.041 (0.048) Loss 2.1965 (2.2741) Prec@1 48.828 (47.907) Prec@5 75.781 (73.168)
Epoch: [59][4190/5005] Time 0.198 (0.210) Data 0.044 (0.048) Loss 2.1796 (2.2741) Prec@1 50.391 (47.907) Prec@5 75.781 (73.167)
Epoch: [59][4200/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.1606 (2.2741) Prec@1 47.656 (47.908) Prec@5 72.266 (73.166)
Epoch: [59][4210/5005] Time 0.200 (0.210) Data 0.044 (0.048) Loss 2.1567 (2.2740) Prec@1 52.344 (47.909) Prec@5 75.391 (73.167)
Epoch: [59][4220/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.4742 (2.2742) Prec@1 45.312 (47.907) Prec@5 67.578 (73.164)
Epoch: [59][4230/5005] Time 0.211 (0.210) Data 0.049 (0.048) Loss 2.2913 (2.2743) Prec@1 46.484 (47.904) Prec@5 73.047 (73.164)
Epoch: [59][4240/5005] Time 0.206 (0.210) Data 0.046 (0.048) Loss 2.1482 (2.2742) Prec@1 51.172 (47.904) Prec@5 75.391 (73.165)
Epoch: [59][4250/5005] Time 0.211 (0.210) Data 0.046 (0.048) Loss 2.0264 (2.2741) Prec@1 49.609 (47.906) Prec@5 78.516 (73.167)
Epoch: [59][4260/5005] Time 0.204 (0.210) Data 0.041 (0.048) Loss 2.2370 (2.2740) Prec@1 43.359 (47.905) Prec@5 75.391 (73.171)
Epoch: [59][4270/5005] Time 0.207 (0.210) Data 0.045 (0.048) Loss 2.3018 (2.2741) Prec@1 48.438 (47.904) Prec@5 75.391 (73.169)
Epoch: [59][4280/5005] Time 0.208 (0.210) Data 0.048 (0.048) Loss 2.3254 (2.2740) Prec@1 43.750 (47.908) Prec@5 71.875 (73.169)
Epoch: [59][4290/5005] Time 0.204 (0.210) Data 0.045 (0.048) Loss 2.4128 (2.2740) Prec@1 46.484 (47.908) Prec@5 72.656 (73.173)
Epoch: [59][4300/5005] Time 0.215 (0.210) Data 0.044 (0.048) Loss 2.0908 (2.2738) Prec@1 51.562 (47.913) Prec@5 76.562 (73.176)
Epoch: [59][4310/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.1357 (2.2737) Prec@1 50.781 (47.915) Prec@5 78.125 (73.177)
Epoch: [59][4320/5005] Time 0.201 (0.210) Data 0.046 (0.048) Loss 2.3901 (2.2737) Prec@1 48.438 (47.915) Prec@5 71.484 (73.178)
Epoch: [59][4330/5005] Time 0.212 (0.210) Data 0.059 (0.048) Loss 2.3143 (2.2736) Prec@1 44.531 (47.914) Prec@5 72.656 (73.178)
Epoch: [59][4340/5005] Time 0.201 (0.210) Data 0.050 (0.048) Loss 2.2816 (2.2737) Prec@1 45.312 (47.910) Prec@5 69.922 (73.177)
Epoch: [59][4350/5005] Time 0.213 (0.210) Data 0.042 (0.048) Loss 2.3085 (2.2737) Prec@1 50.000 (47.912) Prec@5 74.609 (73.177)
Epoch: [59][4360/5005] Time 0.212 (0.210) Data 0.042 (0.048) Loss 1.9290 (2.2736) Prec@1 50.000 (47.913) Prec@5 79.688 (73.179)
Epoch: [59][4370/5005] Time 0.209 (0.210) Data 0.049 (0.048) Loss 2.2004 (2.2736) Prec@1 47.266 (47.912) Prec@5 73.828 (73.180)
Epoch: [59][4380/5005] Time 0.213 (0.210) Data 0.044 (0.048) Loss 2.3015 (2.2735) Prec@1 46.484 (47.912) Prec@5 70.703 (73.181)
Epoch: [59][4390/5005] Time 0.206 (0.210) Data 0.050 (0.048) Loss 2.3164 (2.2735) Prec@1 44.531 (47.913) Prec@5 71.875 (73.181)
Epoch: [59][4400/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.2234 (2.2735) Prec@1 48.047 (47.915) Prec@5 72.266 (73.180)
Epoch: [59][4410/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.1868 (2.2734) Prec@1 50.391 (47.918) Prec@5 73.438 (73.182)
Epoch: [59][4420/5005] Time 0.211 (0.210) Data 0.045 (0.048) Loss 1.9812 (2.2733) Prec@1 54.688 (47.918) Prec@5 76.562 (73.183)
Epoch: [59][4430/5005] Time 0.205 (0.210) Data 0.042 (0.048) Loss 2.2260 (2.2730) Prec@1 50.391 (47.923) Prec@5 73.828 (73.188)
Epoch: [59][4440/5005] Time 0.200 (0.210) Data 0.044 (0.048) Loss 2.2972 (2.2730) Prec@1 46.484 (47.924) Prec@5 70.703 (73.188)
Epoch: [59][4450/5005] Time 0.195 (0.210) Data 0.051 (0.048) Loss 1.9885 (2.2729) Prec@1 50.391 (47.926) Prec@5 77.734 (73.191)
Epoch: [59][4460/5005] Time 0.203 (0.210) Data 0.039 (0.048) Loss 2.3171 (2.2727) Prec@1 45.703 (47.928) Prec@5 73.828 (73.195)
Epoch: [59][4470/5005] Time 0.204 (0.210) Data 0.046 (0.048) Loss 2.1574 (2.2728) Prec@1 46.875 (47.926) Prec@5 73.438 (73.194)
Epoch: [59][4480/5005] Time 0.208 (0.210) Data 0.048 (0.048) Loss 2.1497 (2.2730) Prec@1 46.484 (47.920) Prec@5 72.656 (73.192)
Epoch: [59][4490/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.1895 (2.2730) Prec@1 47.656 (47.918) Prec@5 74.609 (73.189)
Epoch: [59][4500/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.1525 (2.2730) Prec@1 52.344 (47.918) Prec@5 77.734 (73.192)
Epoch: [59][4510/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.1334 (2.2730) Prec@1 50.000 (47.917) Prec@5 73.047 (73.191)
Epoch: [59][4520/5005] Time 0.211 (0.210) Data 0.053 (0.048) Loss 2.1080 (2.2728) Prec@1 53.906 (47.921) Prec@5 75.781 (73.193)
Epoch: [59][4530/5005] Time 0.209 (0.210) Data 0.051 (0.048) Loss 2.1328 (2.2726) Prec@1 50.781 (47.923) Prec@5 80.078 (73.197)
Epoch: [59][4540/5005] Time 0.207 (0.210) Data 0.056 (0.048) Loss 2.4427 (2.2727) Prec@1 43.359 (47.919) Prec@5 71.875 (73.196)
Epoch: [59][4550/5005] Time 0.203 (0.210) Data 0.041 (0.048) Loss 2.3224 (2.2727) Prec@1 46.094 (47.919) Prec@5 71.484 (73.197)
Epoch: [59][4560/5005] Time 0.208 (0.210) Data 0.048 (0.048) Loss 2.2633 (2.2727) Prec@1 47.656 (47.922) Prec@5 72.656 (73.197)
Epoch: [59][4570/5005] Time 0.205 (0.210) Data 0.047 (0.048) Loss 2.3898 (2.2726) Prec@1 45.703 (47.923) Prec@5 69.531 (73.197)
Epoch: [59][4580/5005] Time 0.202 (0.210) Data 0.050 (0.048) Loss 2.4675 (2.2726) Prec@1 44.141 (47.927) Prec@5 69.531 (73.196)
Epoch: [59][4590/5005] Time 0.209 (0.210) Data 0.045 (0.048) Loss 2.0607 (2.2725) Prec@1 55.078 (47.928) Prec@5 78.516 (73.197)
Epoch: [59][4600/5005] Time 0.201 (0.210) Data 0.043 (0.048) Loss 2.0528 (2.2725) Prec@1 53.516 (47.930) Prec@5 75.781 (73.197)
Epoch: [59][4610/5005] Time 0.208 (0.210) Data 0.045 (0.048) Loss 2.0824 (2.2725) Prec@1 51.953 (47.929) Prec@5 78.125 (73.197)
Epoch: [59][4620/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.2053 (2.2725) Prec@1 48.047 (47.929) Prec@5 72.656 (73.196)
Epoch: [59][4630/5005] Time 0.209 (0.210) Data 0.040 (0.048) Loss 2.1236 (2.2724) Prec@1 49.609 (47.931) Prec@5 77.734 (73.198)
Epoch: [59][4640/5005] Time 0.208 (0.210) Data 0.044 (0.048) Loss 2.3676 (2.2723) Prec@1 50.781 (47.932) Prec@5 69.531 (73.199)
Epoch: [59][4650/5005] Time 0.203 (0.210) Data 0.043 (0.048) Loss 2.2725 (2.2722) Prec@1 44.922 (47.935) Prec@5 71.484 (73.200)
Epoch: [59][4660/5005] Time 0.205 (0.210) Data 0.049 (0.048) Loss 2.4502 (2.2722) Prec@1 42.969 (47.935) Prec@5 69.141 (73.199)
Epoch: [59][4670/5005] Time 0.197 (0.210) Data 0.060 (0.048) Loss 2.0800 (2.2721) Prec@1 49.609 (47.938) Prec@5 75.781 (73.201)
Epoch: [59][4680/5005] Time 0.213 (0.210) Data 0.051 (0.048) Loss 2.2493 (2.2720) Prec@1 45.312 (47.939) Prec@5 76.562 (73.201)
Epoch: [59][4690/5005] Time 0.204 (0.210) Data 0.047 (0.048) Loss 2.3654 (2.2721) Prec@1 46.875 (47.937) Prec@5 72.266 (73.201)
Epoch: [59][4700/5005] Time 0.213 (0.210) Data 0.044 (0.048) Loss 2.3082 (2.2720) Prec@1 53.125 (47.942) Prec@5 72.656 (73.203)
Epoch: [59][4710/5005] Time 0.214 (0.210) Data 0.044 (0.048) Loss 2.1086 (2.2718) Prec@1 51.562 (47.946) Prec@5 75.000 (73.207)
Epoch: [59][4720/5005] Time 0.210 (0.210) Data 0.049 (0.048) Loss 2.0784 (2.2717) Prec@1 54.688 (47.946) Prec@5 75.391 (73.205)
Epoch: [59][4730/5005] Time 0.199 (0.210) Data 0.063 (0.048) Loss 2.2732 (2.2718) Prec@1 48.047 (47.943) Prec@5 73.828 (73.204)
Epoch: [59][4740/5005] Time 0.202 (0.210) Data 0.050 (0.048) Loss 2.1835 (2.2717) Prec@1 45.703 (47.947) Prec@5 76.953 (73.208)
Epoch: [59][4750/5005] Time 0.214 (0.210) Data 0.047 (0.048) Loss 2.1495 (2.2715) Prec@1 47.266 (47.951) Prec@5 76.172 (73.209)
Epoch: [59][4760/5005] Time 0.204 (0.210) Data 0.050 (0.048) Loss 2.3357 (2.2714) Prec@1 44.531 (47.952) Prec@5 75.000 (73.209)
Epoch: [59][4770/5005] Time 0.206 (0.210) Data 0.052 (0.048) Loss 2.1563 (2.2714) Prec@1 54.297 (47.953) Prec@5 75.781 (73.209)
Epoch: [59][4780/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.3010 (2.2714) Prec@1 47.266 (47.952) Prec@5 73.828 (73.210)
Epoch: [59][4790/5005] Time 0.205 (0.210) Data 0.047 (0.048) Loss 2.5812 (2.2714) Prec@1 39.844 (47.954) Prec@5 65.234 (73.209)
Epoch: [59][4800/5005] Time 0.208 (0.210) Data 0.049 (0.048) Loss 2.4256 (2.2712) Prec@1 45.703 (47.954) Prec@5 70.703 (73.212)
Epoch: [59][4810/5005] Time 0.876 (0.210) Data 0.049 (0.048) Loss 2.4508 (2.2711) Prec@1 43.750 (47.953) Prec@5 69.531 (73.214)
Epoch: [59][4820/5005] Time 0.205 (0.210) Data 0.049 (0.048) Loss 2.4088 (2.2710) Prec@1 45.703 (47.956) Prec@5 67.578 (73.217)
Epoch: [59][4830/5005] Time 0.202 (0.210) Data 0.046 (0.048) Loss 2.3761 (2.2708) Prec@1 48.047 (47.958) Prec@5 73.438 (73.222)
Epoch: [59][4840/5005] Time 0.199 (0.210) Data 0.044 (0.048) Loss 2.1717 (2.2709) Prec@1 51.172 (47.957) Prec@5 74.609 (73.221)
Epoch: [59][4850/5005] Time 0.221 (0.210) Data 0.044 (0.048) Loss 2.2225 (2.2710) Prec@1 44.531 (47.954) Prec@5 73.828 (73.220)
Epoch: [59][4860/5005] Time 0.209 (0.210) Data 0.044 (0.048) Loss 2.2639 (2.2709) Prec@1 44.922 (47.957) Prec@5 74.609 (73.223)
Epoch: [59][4870/5005] Time 0.203 (0.210) Data 0.059 (0.048) Loss 2.1905 (2.2709) Prec@1 51.562 (47.956) Prec@5 74.219 (73.223)
Epoch: [59][4880/5005] Time 0.213 (0.210) Data 0.041 (0.048) Loss 2.1720 (2.2708) Prec@1 51.172 (47.959) Prec@5 72.656 (73.224)
Epoch: [59][4890/5005] Time 0.203 (0.210) Data 0.042 (0.048) Loss 2.2423 (2.2707) Prec@1 50.391 (47.963) Prec@5 71.484 (73.227)
Epoch: [59][4900/5005] Time 0.206 (0.210) Data 0.049 (0.048) Loss 2.0412 (2.2706) Prec@1 49.609 (47.964) Prec@5 77.344 (73.228)
Epoch: [59][4910/5005] Time 0.206 (0.210) Data 0.052 (0.048) Loss 2.3009 (2.2704) Prec@1 45.312 (47.965) Prec@5 74.219 (73.231)
Epoch: [59][4920/5005] Time 0.206 (0.210) Data 0.047 (0.048) Loss 2.0881 (2.2704) Prec@1 53.125 (47.967) Prec@5 76.172 (73.231)
Epoch: [59][4930/5005] Time 0.214 (0.210) Data 0.041 (0.048) Loss 2.4339 (2.2703) Prec@1 45.312 (47.969) Prec@5 69.141 (73.235)
Epoch: [59][4940/5005] Time 0.206 (0.210) Data 0.042 (0.048) Loss 2.3522 (2.2703) Prec@1 49.219 (47.969) Prec@5 72.266 (73.234)
Epoch: [59][4950/5005] Time 0.210 (0.210) Data 0.048 (0.048) Loss 2.0027 (2.2704) Prec@1 51.172 (47.968) Prec@5 76.562 (73.234)
Epoch: [59][4960/5005] Time 0.217 (0.210) Data 0.044 (0.048) Loss 2.4887 (2.2704) Prec@1 42.969 (47.967) Prec@5 71.484 (73.235)
Epoch: [59][4970/5005] Time 0.206 (0.210) Data 0.043 (0.048) Loss 2.4209 (2.2703) Prec@1 44.141 (47.967) Prec@5 69.922 (73.236)
Epoch: [59][4980/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.2893 (2.2702) Prec@1 45.703 (47.968) Prec@5 73.828 (73.236)
Epoch: [59][4990/5005] Time 0.208 (0.210) Data 0.023 (0.048) Loss 2.3512 (2.2701) Prec@1 44.531 (47.967) Prec@5 73.438 (73.236)
Epoch: [59][5000/5005] Time 0.204 (0.210) Data 0.021 (0.047) Loss 2.2548 (2.2701) Prec@1 48.828 (47.966) Prec@5 73.438 (73.234)
Test: [0/196] Time 1.337 (1.337) Loss 2.4112 (2.4112) Prec@1 48.828 (48.828) Prec@5 72.656 (72.656)
Test: [10/196] Time 0.042 (0.266) Loss 2.5070 (2.5659) Prec@1 46.484 (43.288) Prec@5 70.312 (68.182)
Test: [20/196] Time 0.293 (0.231) Loss 2.4173 (2.5609) Prec@1 47.656 (43.155) Prec@5 70.312 (68.676)
Test: [30/196] Time 0.044 (0.225) Loss 2.4406 (2.5631) Prec@1 44.141 (43.347) Prec@5 69.922 (68.725)
Test: [40/196] Time 0.048 (0.215) Loss 2.3156 (2.5579) Prec@1 50.000 (43.493) Prec@5 73.438 (68.712)
Test: [50/196] Time 0.042 (0.208) Loss 2.6358 (2.5613) Prec@1 45.312 (43.781) Prec@5 70.312 (68.796)
Test: [60/196] Time 0.178 (0.197) Loss 2.5158 (2.5485) Prec@1 46.875 (44.083) Prec@5 69.922 (68.993)
Test: [70/196] Time 0.042 (0.189) Loss 2.4227 (2.5417) Prec@1 47.266 (44.223) Prec@5 69.141 (69.075)
Test: [80/196] Time 0.042 (0.191) Loss 2.3786 (2.5454) Prec@1 50.000 (44.242) Prec@5 75.781 (69.092)
Test: [90/196] Time 0.048 (0.190) Loss 2.6430 (2.5487) Prec@1 44.922 (44.274) Prec@5 67.578 (69.162)
Test: [100/196] Time 0.086 (0.189) Loss 2.5457 (2.5449) Prec@1 46.484 (44.462) Prec@5 68.359 (69.295)
Test: [110/196] Time 0.048 (0.187) Loss 2.7878 (2.5481) Prec@1 40.234 (44.531) Prec@5 63.672 (69.278)
Test: [120/196] Time 0.052 (0.184) Loss 2.3270 (2.5441) Prec@1 46.875 (44.567) Prec@5 70.703 (69.325)
Test: [130/196] Time 0.044 (0.182) Loss 2.2335 (2.5405) Prec@1 48.047 (44.585) Prec@5 73.828 (69.394)
Test: [140/196] Time 0.044 (0.184) Loss 2.3292 (2.5424) Prec@1 49.219 (44.512) Prec@5 70.703 (69.359)
Test: [150/196] Time 0.044 (0.184) Loss 2.1436 (2.5404) Prec@1 50.000 (44.544) Prec@5 77.734 (69.373)
Test: [160/196] Time 0.043 (0.181) Loss 2.5080 (2.5390) Prec@1 48.828 (44.546) Prec@5 67.969 (69.378)
Test: [170/196] Time 0.052 (0.182) Loss 2.4733 (2.5414) Prec@1 46.875 (44.545) Prec@5 71.484 (69.351)
Test: [180/196] Time 0.041 (0.181) Loss 2.7576 (2.5464) Prec@1 40.625 (44.475) Prec@5 65.625 (69.270)
Test: [190/196] Time 0.612 (0.181) Loss 2.8144 (2.5497) Prec@1 41.406 (44.413) Prec@5 61.719 (69.155)
* Prec@1 44.404 Prec@5 69.156
Learning rate: 1e-05
Epoch: [60][0/5005] Time 1.113 (1.113) Data 1.015 (1.015) Loss 2.2171 (2.2171) Prec@1 50.391 (50.391) Prec@5 72.656 (72.656)
Epoch: [60][10/5005] Time 0.197 (0.286) Data 0.046 (0.137) Loss 2.2822 (2.2873) Prec@1 51.562 (47.195) Prec@5 71.875 (73.153)
Epoch: [60][20/5005] Time 0.195 (0.245) Data 0.046 (0.095) Loss 2.4234 (2.2922) Prec@1 46.875 (46.745) Prec@5 69.141 (72.786)
Epoch: [60][30/5005] Time 0.205 (0.231) Data 0.048 (0.081) Loss 2.1062 (2.2503) Prec@1 50.781 (47.429) Prec@5 75.781 (73.488)
Epoch: [60][40/5005] Time 0.202 (0.225) Data 0.047 (0.072) Loss 2.1811 (2.2648) Prec@1 49.609 (47.228) Prec@5 73.828 (73.361)
Epoch: [60][50/5005] Time 0.209 (0.220) Data 0.043 (0.067) Loss 2.1776 (2.2641) Prec@1 48.047 (47.396) Prec@5 76.953 (73.392)
Epoch: [60][60/5005] Time 0.199 (0.217) Data 0.058 (0.064) Loss 2.2293 (2.2626) Prec@1 47.266 (47.490) Prec@5 75.391 (73.361)
Epoch: [60][70/5005] Time 0.207 (0.215) Data 0.051 (0.062) Loss 2.2499 (2.2717) Prec@1 48.047 (47.321) Prec@5 74.609 (73.393)
Epoch: [60][80/5005] Time 0.201 (0.213) Data 0.042 (0.060) Loss 2.1503 (2.2679) Prec@1 51.562 (47.459) Prec@5 74.219 (73.438)
Epoch: [60][90/5005] Time 0.204 (0.212) Data 0.044 (0.058) Loss 2.1712 (2.2698) Prec@1 51.562 (47.519) Prec@5 76.953 (73.390)
Epoch: [60][100/5005] Time 0.214 (0.211) Data 0.046 (0.058) Loss 2.0899 (2.2745) Prec@1 50.000 (47.393) Prec@5 77.344 (73.260)
Epoch: [60][110/5005] Time 0.194 (0.210) Data 0.051 (0.058) Loss 2.1755 (2.2716) Prec@1 51.562 (47.579) Prec@5 73.438 (73.212)
Epoch: [60][120/5005] Time 0.206 (0.209) Data 0.047 (0.057) Loss 2.3399 (2.2747) Prec@1 44.922 (47.585) Prec@5 69.531 (73.124)
Epoch: [60][130/5005] Time 0.202 (0.209) Data 0.041 (0.057) Loss 2.4576 (2.2779) Prec@1 46.094 (47.531) Prec@5 69.141 (73.107)
Epoch: [60][140/5005] Time 0.205 (0.208) Data 0.043 (0.056) Loss 2.2891 (2.2771) Prec@1 48.828 (47.573) Prec@5 70.703 (73.160)
Epoch: [60][150/5005] Time 0.209 (0.208) Data 0.047 (0.056) Loss 2.5182 (2.2804) Prec@1 44.531 (47.581) Prec@5 71.484 (73.156)
Epoch: [60][160/5005] Time 0.205 (0.208) Data 0.048 (0.055) Loss 2.2146 (2.2798) Prec@1 48.438 (47.600) Prec@5 76.562 (73.241)
Epoch: [60][170/5005] Time 0.213 (0.208) Data 0.047 (0.055) Loss 2.2426 (2.2817) Prec@1 50.781 (47.560) Prec@5 74.609 (73.296)
Epoch: [60][180/5005] Time 0.206 (0.209) Data 0.041 (0.055) Loss 2.4665 (2.2821) Prec@1 47.266 (47.630) Prec@5 68.359 (73.237)
Epoch: [60][190/5005] Time 0.219 (0.209) Data 0.043 (0.054) Loss 2.3546 (2.2847) Prec@1 48.438 (47.564) Prec@5 71.875 (73.196)
Epoch: [60][200/5005] Time 0.216 (0.209) Data 0.061 (0.054) Loss 2.4908 (2.2874) Prec@1 44.922 (47.534) Prec@5 70.312 (73.162)
Epoch: [60][210/5005] Time 0.221 (0.210) Data 0.049 (0.054) Loss 2.0963 (2.2861) Prec@1 50.781 (47.532) Prec@5 77.344 (73.188)
Epoch: [60][220/5005] Time 0.223 (0.210) Data 0.047 (0.054) Loss 2.2482 (2.2854) Prec@1 48.047 (47.524) Prec@5 75.781 (73.178)
Epoch: [60][230/5005] Time 0.221 (0.210) Data 0.042 (0.053) Loss 2.3874 (2.2851) Prec@1 46.875 (47.545) Prec@5 71.875 (73.180)
Epoch: [60][240/5005] Time 0.214 (0.211) Data 0.050 (0.053) Loss 2.3199 (2.2838) Prec@1 45.312 (47.559) Prec@5 71.094 (73.188)
Epoch: [60][250/5005] Time 0.206 (0.211) Data 0.044 (0.053) Loss 2.2771 (2.2817) Prec@1 51.172 (47.620) Prec@5 70.703 (73.226)
Epoch: [60][260/5005] Time 0.222 (0.212) Data 0.049 (0.053) Loss 2.0331 (2.2815) Prec@1 50.000 (47.616) Prec@5 75.781 (73.231)
Epoch: [60][270/5005] Time 0.219 (0.212) Data 0.043 (0.053) Loss 2.2423 (2.2804) Prec@1 47.266 (47.612) Prec@5 75.000 (73.244)
Epoch: [60][280/5005] Time 0.228 (0.212) Data 0.046 (0.053) Loss 2.6080 (2.2828) Prec@1 42.188 (47.558) Prec@5 66.406 (73.183)
Epoch: [60][290/5005] Time 0.218 (0.212) Data 0.043 (0.053) Loss 2.1897 (2.2845) Prec@1 49.219 (47.518) Prec@5 74.219 (73.137)
Epoch: [60][300/5005] Time 0.212 (0.212) Data 0.063 (0.052) Loss 2.1825 (2.2841) Prec@1 47.656 (47.506) Prec@5 72.266 (73.153)
Epoch: [60][310/5005] Time 0.209 (0.213) Data 0.047 (0.052) Loss 2.1517 (2.2829) Prec@1 50.000 (47.523) Prec@5 76.172 (73.167)
Epoch: [60][320/5005] Time 0.221 (0.213) Data 0.044 (0.052) Loss 2.5671 (2.2849) Prec@1 42.188 (47.527) Prec@5 71.094 (73.142)
Epoch: [60][330/5005] Time 0.218 (0.213) Data 0.044 (0.052) Loss 2.0476 (2.2838) Prec@1 47.266 (47.555) Prec@5 76.562 (73.152)
Epoch: [60][340/5005] Time 0.217 (0.213) Data 0.043 (0.052) Loss 2.3091 (2.2869) Prec@1 45.703 (47.502) Prec@5 73.828 (73.088)
Epoch: [60][350/5005] Time 0.216 (0.213) Data 0.043 (0.051) Loss 2.4345 (2.2857) Prec@1 47.266 (47.528) Prec@5 69.141 (73.109)
Epoch: [60][360/5005] Time 0.218 (0.213) Data 0.043 (0.051) Loss 2.3451 (2.2869) Prec@1 48.047 (47.514) Prec@5 71.094 (73.061)
Epoch: [60][370/5005] Time 0.228 (0.213) Data 0.041 (0.051) Loss 2.3007 (2.2852) Prec@1 45.312 (47.535) Prec@5 74.609 (73.111)
Epoch: [60][380/5005] Time 0.222 (0.213) Data 0.041 (0.051) Loss 2.3077 (2.2856) Prec@1 50.000 (47.528) Prec@5 71.094 (73.122)
Epoch: [60][390/5005] Time 0.218 (0.213) Data 0.045 (0.051) Loss 2.2280 (2.2861) Prec@1 51.172 (47.554) Prec@5 71.875 (73.105)
Epoch: [60][400/5005] Time 0.207 (0.213) Data 0.047 (0.051) Loss 2.1596 (2.2845) Prec@1 48.438 (47.588) Prec@5 75.000 (73.138)
Epoch: [60][410/5005] Time 0.219 (0.213) Data 0.044 (0.050) Loss 2.1403 (2.2845) Prec@1 49.219 (47.594) Prec@5 76.172 (73.131)
Epoch: [60][420/5005] Time 0.221 (0.214) Data 0.042 (0.050) Loss 2.1926 (2.2842) Prec@1 51.953 (47.618) Prec@5 74.219 (73.153)
Epoch: [60][430/5005] Time 0.208 (0.213) Data 0.056 (0.050) Loss 2.1867 (2.2839) Prec@1 52.734 (47.603) Prec@5 76.562 (73.175)
Epoch: [60][440/5005] Time 0.221 (0.214) Data 0.044 (0.050) Loss 2.2180 (2.2839) Prec@1 52.344 (47.600) Prec@5 72.266 (73.151)
Epoch: [60][450/5005] Time 0.215 (0.214) Data 0.046 (0.050) Loss 2.1077 (2.2849) Prec@1 50.000 (47.590) Prec@5 77.344 (73.128)
Epoch: [60][460/5005] Time 0.210 (0.214) Data 0.041 (0.050) Loss 2.2376 (2.2849) Prec@1 47.656 (47.592) Prec@5 74.219 (73.145)
Epoch: [60][470/5005] Time 0.220 (0.214) Data 0.046 (0.050) Loss 2.2510 (2.2856) Prec@1 49.609 (47.589) Prec@5 70.703 (73.117)
Epoch: [60][480/5005] Time 0.206 (0.214) Data 0.047 (0.050) Loss 2.3139 (2.2863) Prec@1 48.828 (47.600) Prec@5 74.219 (73.099)
Epoch: [60][490/5005] Time 0.219 (0.214) Data 0.043 (0.050) Loss 2.3253 (2.2870) Prec@1 51.172 (47.582) Prec@5 72.656 (73.084)
Epoch: [60][500/5005] Time 0.213 (0.214) Data 0.045 (0.050) Loss 2.5190 (2.2888) Prec@1 41.797 (47.574) Prec@5 68.359 (73.046)
Epoch: [60][510/5005] Time 0.211 (0.214) Data 0.067 (0.050) Loss 2.5947 (2.2903) Prec@1 41.016 (47.541) Prec@5 66.406 (73.022)
Epoch: [60][520/5005] Time 0.222 (0.214) Data 0.046 (0.050) Loss 2.4248 (2.2901) Prec@1 41.797 (47.542) Prec@5 69.922 (73.031)
Epoch: [60][530/5005] Time 0.215 (0.214) Data 0.046 (0.050) Loss 2.3131 (2.2908) Prec@1 47.266 (47.532) Prec@5 73.438 (73.027)
Epoch: [60][540/5005] Time 0.211 (0.214) Data 0.053 (0.050) Loss 2.4444 (2.2913) Prec@1 42.188 (47.506) Prec@5 69.922 (72.998)
Epoch: [60][550/5005] Time 0.217 (0.214) Data 0.045 (0.050) Loss 2.2707 (2.2907) Prec@1 48.047 (47.522) Prec@5 74.219 (72.994)
Epoch: [60][560/5005] Time 0.209 (0.214) Data 0.059 (0.050) Loss 2.2953 (2.2901) Prec@1 44.141 (47.554) Prec@5 72.656 (73.004)
Epoch: [60][570/5005] Time 0.219 (0.214) Data 0.044 (0.050) Loss 2.5080 (2.2910) Prec@1 48.438 (47.526) Prec@5 68.750 (72.978)
Epoch: [60][580/5005] Time 0.220 (0.214) Data 0.042 (0.050) Loss 2.2872 (2.2907) Prec@1 44.922 (47.533) Prec@5 72.656 (72.978)
Epoch: [60][590/5005] Time 0.211 (0.214) Data 0.057 (0.050) Loss 2.4783 (2.2912) Prec@1 44.141 (47.535) Prec@5 70.312 (72.936)
Epoch: [60][600/5005] Time 0.207 (0.214) Data 0.049 (0.050) Loss 2.1797 (2.2918) Prec@1 53.516 (47.533) Prec@5 76.953 (72.932)
Epoch: [60][610/5005] Time 0.216 (0.214) Data 0.043 (0.050) Loss 2.1764 (2.2923) Prec@1 48.438 (47.521) Prec@5 77.344 (72.929)
Epoch: [60][620/5005] Time 0.209 (0.214) Data 0.046 (0.050) Loss 2.1989 (2.2918) Prec@1 53.125 (47.551) Prec@5 74.219 (72.933)
Epoch: [60][630/5005] Time 0.212 (0.214) Data 0.058 (0.050) Loss 2.4130 (2.2921) Prec@1 51.562 (47.555) Prec@5 70.312 (72.934)
Epoch: [60][640/5005] Time 0.219 (0.214) Data 0.045 (0.050) Loss 2.2386 (2.2921) Prec@1 47.656 (47.540) Prec@5 71.094 (72.922)
Epoch: [60][650/5005] Time 0.212 (0.214) Data 0.053 (0.050) Loss 2.4036 (2.2929) Prec@1 43.359 (47.524) Prec@5 70.703 (72.904)
Epoch: [60][660/5005] Time 0.214 (0.214) Data 0.056 (0.050) Loss 2.2129 (2.2924) Prec@1 44.922 (47.535) Prec@5 73.047 (72.915)
Epoch: [60][670/5005] Time 0.202 (0.214) Data 0.052 (0.050) Loss 2.5195 (2.2920) Prec@1 43.750 (47.549) Prec@5 70.703 (72.916)
Epoch: [60][680/5005] Time 0.213 (0.214) Data 0.047 (0.050) Loss 2.3011 (2.2924) Prec@1 43.750 (47.529) Prec@5 73.828 (72.920)
Epoch: [60][690/5005] Time 0.208 (0.214) Data 0.049 (0.050) Loss 2.1689 (2.2922) Prec@1 50.391 (47.527) Prec@5 75.781 (72.915)
Epoch: [60][700/5005] Time 0.221 (0.214) Data 0.047 (0.050) Loss 2.2894 (2.2918) Prec@1 48.438 (47.536) Prec@5 72.266 (72.917)
Epoch: [60][710/5005] Time 0.218 (0.214) Data 0.047 (0.050) Loss 2.0614 (2.2914) Prec@1 52.344 (47.545) Prec@5 78.906 (72.928)
Epoch: [60][720/5005] Time 0.210 (0.214) Data 0.043 (0.050) Loss 2.1630 (2.2908) Prec@1 47.266 (47.547) Prec@5 76.562 (72.937)
Epoch: [60][730/5005] Time 0.206 (0.214) Data 0.044 (0.050) Loss 2.4034 (2.2909) Prec@1 44.922 (47.542) Prec@5 71.875 (72.944)
Epoch: [60][740/5005] Time 0.213 (0.214) Data 0.042 (0.050) Loss 2.3232 (2.2911) Prec@1 45.703 (47.534) Prec@5 71.094 (72.924)
Epoch: [60][750/5005] Time 0.213 (0.214) Data 0.043 (0.050) Loss 2.0338 (2.2910) Prec@1 51.562 (47.529) Prec@5 75.781 (72.929)
Epoch: [60][760/5005] Time 0.212 (0.214) Data 0.043 (0.049) Loss 2.3119 (2.2909) Prec@1 46.875 (47.526) Prec@5 71.875 (72.931)
Epoch: [60][770/5005] Time 0.205 (0.214) Data 0.057 (0.049) Loss 2.3527 (2.2896) Prec@1 48.047 (47.549) Prec@5 71.875 (72.953)
Epoch: [60][780/5005] Time 0.209 (0.214) Data 0.057 (0.049) Loss 2.3985 (2.2898) Prec@1 44.531 (47.543) Prec@5 72.266 (72.944)
Epoch: [60][790/5005] Time 0.218 (0.214) Data 0.044 (0.049) Loss 2.3592 (2.2896) Prec@1 48.828 (47.548) Prec@5 70.703 (72.952)
Epoch: [60][800/5005] Time 0.215 (0.214) Data 0.042 (0.049) Loss 2.1521 (2.2891) Prec@1 46.484 (47.556) Prec@5 76.172 (72.947)
Epoch: [60][810/5005] Time 0.214 (0.214) Data 0.044 (0.049) Loss 2.3002 (2.2893) Prec@1 47.656 (47.554) Prec@5 70.703 (72.944)
Epoch: [60][820/5005] Time 0.216 (0.214) Data 0.047 (0.049) Loss 2.4117 (2.2895) Prec@1 44.141 (47.553) Prec@5 72.266 (72.942)
Epoch: [60][830/5005] Time 0.212 (0.214) Data 0.053 (0.049) Loss 2.2877 (2.2897) Prec@1 49.219 (47.559) Prec@5 73.828 (72.927)
Epoch: [60][840/5005] Time 0.220 (0.214) Data 0.047 (0.049) Loss 2.2202 (2.2897) Prec@1 49.609 (47.556) Prec@5 71.094 (72.936)
Epoch: [60][850/5005] Time 0.216 (0.214) Data 0.047 (0.049) Loss 2.5172 (2.2895) Prec@1 45.312 (47.568) Prec@5 71.094 (72.931)
Epoch: [60][860/5005] Time 0.205 (0.214) Data 0.052 (0.049) Loss 2.2730 (2.2893) Prec@1 48.438 (47.588) Prec@5 74.219 (72.933)
Epoch: [60][870/5005] Time 0.225 (0.214) Data 0.047 (0.049) Loss 2.3729 (2.2881) Prec@1 45.312 (47.601) Prec@5 70.312 (72.953)
Epoch: [60][880/5005] Time 0.206 (0.214) Data 0.067 (0.049) Loss 2.1916 (2.2884) Prec@1 50.391 (47.602) Prec@5 76.172 (72.948)
Epoch: [60][890/5005] Time 0.199 (0.214) Data 0.047 (0.049) Loss 2.5376 (2.2878) Prec@1 45.312 (47.609) Prec@5 66.406 (72.953)
Epoch: [60][900/5005] Time 0.222 (0.214) Data 0.048 (0.049) Loss 2.2882 (2.2879) Prec@1 46.875 (47.596) Prec@5 72.656 (72.955)
Epoch: [60][910/5005] Time 0.207 (0.214) Data 0.051 (0.049) Loss 2.2357 (2.2875) Prec@1 50.000 (47.593) Prec@5 76.953 (72.956)
Epoch: [60][920/5005] Time 0.210 (0.214) Data 0.048 (0.049) Loss 2.2443 (2.2869) Prec@1 48.828 (47.618) Prec@5 76.172 (72.962)
Epoch: [60][930/5005] Time 0.212 (0.214) Data 0.041 (0.049) Loss 2.2944 (2.2863) Prec@1 50.000 (47.646) Prec@5 70.703 (72.969)
Epoch: [60][940/5005] Time 0.204 (0.214) Data 0.043 (0.049) Loss 2.1846 (2.2864) Prec@1 49.219 (47.650) Prec@5 76.562 (72.974)
Epoch: [60][950/5005] Time 0.196 (0.214) Data 0.048 (0.049) Loss 2.3694 (2.2871) Prec@1 46.875 (47.661) Prec@5 72.656 (72.958)
Epoch: [60][960/5005] Time 0.208 (0.214) Data 0.052 (0.049) Loss 2.5017 (2.2871) Prec@1 46.094 (47.667) Prec@5 68.750 (72.958)
Epoch: [60][970/5005] Time 0.214 (0.213) Data 0.045 (0.049) Loss 2.1471 (2.2871) Prec@1 48.047 (47.657) Prec@5 73.828 (72.962)
Epoch: [60][980/5005] Time 0.212 (0.213) Data 0.043 (0.049) Loss 2.1877 (2.2860) Prec@1 48.828 (47.675) Prec@5 71.484 (72.976)
Epoch: [60][990/5005] Time 0.215 (0.213) Data 0.064 (0.049) Loss 2.3338 (2.2865) Prec@1 45.312 (47.668) Prec@5 74.609 (72.965)
Epoch: [60][1000/5005] Time 0.220 (0.213) Data 0.047 (0.049) Loss 2.3462 (2.2865) Prec@1 48.828 (47.660) Prec@5 71.875 (72.956)
Epoch: [60][1010/5005] Time 0.214 (0.213) Data 0.043 (0.049) Loss 2.1881 (2.2864) Prec@1 49.609 (47.672) Prec@5 75.391 (72.957)
Epoch: [60][1020/5005] Time 0.212 (0.213) Data 0.040 (0.049) Loss 2.2070 (2.2868) Prec@1 48.438 (47.664) Prec@5 74.609 (72.947)
Epoch: [60][1030/5005] Time 0.212 (0.214) Data 0.042 (0.049) Loss 2.2085 (2.2863) Prec@1 48.438 (47.670) Prec@5 75.000 (72.956)
Epoch: [60][1040/5005] Time 0.205 (0.215) Data 0.044 (0.049) Loss 2.4235 (2.2860) Prec@1 47.656 (47.678) Prec@5 71.484 (72.963)
Epoch: [60][1050/5005] Time 0.202 (0.215) Data 0.042 (0.049) Loss 2.4288 (2.2866) Prec@1 46.484 (47.665) Prec@5 71.094 (72.953)
Epoch: [60][1060/5005] Time 0.210 (0.214) Data 0.042 (0.049) Loss 2.3237 (2.2865) Prec@1 50.391 (47.678) Prec@5 71.484 (72.952)
Epoch: [60][1070/5005] Time 0.212 (0.214) Data 0.044 (0.049) Loss 2.2584 (2.2863) Prec@1 48.047 (47.692) Prec@5 72.266 (72.956)
Epoch: [60][1080/5005] Time 0.215 (0.214) Data 0.043 (0.049) Loss 2.3622 (2.2867) Prec@1 42.578 (47.682) Prec@5 72.266 (72.945)
Epoch: [60][1090/5005] Time 0.216 (0.214) Data 0.044 (0.049) Loss 2.1620 (2.2864) Prec@1 51.562 (47.683) Prec@5 73.828 (72.956)
Epoch: [60][1100/5005] Time 0.204 (0.214) Data 0.047 (0.049) Loss 2.3253 (2.2860) Prec@1 48.047 (47.695) Prec@5 73.438 (72.960)
Epoch: [60][1110/5005] Time 0.212 (0.214) Data 0.045 (0.049) Loss 2.3351 (2.2860) Prec@1 46.484 (47.691) Prec@5 72.266 (72.960)
Epoch: [60][1120/5005] Time 0.218 (0.214) Data 0.043 (0.048) Loss 2.1318 (2.2853) Prec@1 51.172 (47.692) Prec@5 73.828 (72.973)
Epoch: [60][1130/5005] Time 0.214 (0.214) Data 0.050 (0.048) Loss 2.4596 (2.2855) Prec@1 43.750 (47.690) Prec@5 70.312 (72.964)
Epoch: [60][1140/5005] Time 0.204 (0.214) Data 0.042 (0.048) Loss 2.3094 (2.2856) Prec@1 49.219 (47.695) Prec@5 70.703 (72.956)
Epoch: [60][1150/5005] Time 0.211 (0.214) Data 0.044 (0.048) Loss 2.2238 (2.2854) Prec@1 52.344 (47.701) Prec@5 73.828 (72.958)
Epoch: [60][1160/5005] Time 0.217 (0.214) Data 0.042 (0.048) Loss 2.3529 (2.2853) Prec@1 49.219 (47.711) Prec@5 73.047 (72.957)
Epoch: [60][1170/5005] Time 0.211 (0.214) Data 0.043 (0.048) Loss 2.2402 (2.2853) Prec@1 48.828 (47.721) Prec@5 74.219 (72.952)
Epoch: [60][1180/5005] Time 0.215 (0.214) Data 0.043 (0.048) Loss 2.3569 (2.2851) Prec@1 46.484 (47.723) Prec@5 71.094 (72.949)
Epoch: [60][1190/5005] Time 0.215 (0.214) Data 0.048 (0.048) Loss 2.0277 (2.2846) Prec@1 49.219 (47.731) Prec@5 76.172 (72.954)
Epoch: [60][1200/5005] Time 0.215 (0.214) Data 0.042 (0.048) Loss 2.4143 (2.2845) Prec@1 44.922 (47.728) Prec@5 71.094 (72.959)
Epoch: [60][1210/5005] Time 0.215 (0.214) Data 0.045 (0.048) Loss 2.2657 (2.2852) Prec@1 50.781 (47.718) Prec@5 73.438 (72.955)
Epoch: [60][1220/5005] Time 0.208 (0.214) Data 0.049 (0.048) Loss 2.2386 (2.2852) Prec@1 46.094 (47.715) Prec@5 75.391 (72.963)
Epoch: [60][1230/5005] Time 0.206 (0.214) Data 0.043 (0.048) Loss 2.4232 (2.2851) Prec@1 46.875 (47.712) Prec@5 70.312 (72.964)
Epoch: [60][1240/5005] Time 0.213 (0.214) Data 0.048 (0.048) Loss 2.2270 (2.2850) Prec@1 50.000 (47.711) Prec@5 73.828 (72.961)
Epoch: [60][1250/5005] Time 0.206 (0.214) Data 0.041 (0.048) Loss 2.4661 (2.2851) Prec@1 45.703 (47.700) Prec@5 67.188 (72.955)
Epoch: [60][1260/5005] Time 0.223 (0.214) Data 0.043 (0.048) Loss 2.0187 (2.2848) Prec@1 51.953 (47.696) Prec@5 72.266 (72.958)
Epoch: [60][1270/5005] Time 0.215 (0.214) Data 0.042 (0.048) Loss 2.4406 (2.2853) Prec@1 44.922 (47.686) Prec@5 71.484 (72.946)
Epoch: [60][1280/5005] Time 0.215 (0.214) Data 0.042 (0.048) Loss 2.2698 (2.2857) Prec@1 46.484 (47.679) Prec@5 73.047 (72.941)
Epoch: [60][1290/5005] Time 0.215 (0.214) Data 0.042 (0.048) Loss 2.0461 (2.2854) Prec@1 51.953 (47.686) Prec@5 77.344 (72.946)
Epoch: [60][1300/5005] Time 0.222 (0.214) Data 0.044 (0.048) Loss 2.1416 (2.2856) Prec@1 48.438 (47.683) Prec@5 77.344 (72.948)
Epoch: [60][1310/5005] Time 0.209 (0.214) Data 0.045 (0.048) Loss 2.2710 (2.2855) Prec@1 48.828 (47.681) Prec@5 71.875 (72.961)
Epoch: [60][1320/5005] Time 0.206 (0.214) Data 0.050 (0.048) Loss 2.2733 (2.2855) Prec@1 50.000 (47.686) Prec@5 74.609 (72.959)
Epoch: [60][1330/5005] Time 0.197 (0.214) Data 0.061 (0.048) Loss 2.3296 (2.2856) Prec@1 47.266 (47.689) Prec@5 73.828 (72.954)
Epoch: [60][1340/5005] Time 0.208 (0.214) Data 0.041 (0.048) Loss 2.2872 (2.2853) Prec@1 44.141 (47.704) Prec@5 71.484 (72.957)
Epoch: [60][1350/5005] Time 0.201 (0.214) Data 0.042 (0.048) Loss 2.6242 (2.2855) Prec@1 44.141 (47.690) Prec@5 65.234 (72.952)
Epoch: [60][1360/5005] Time 0.220 (0.214) Data 0.044 (0.048) Loss 2.0991 (2.2850) Prec@1 50.781 (47.695) Prec@5 76.562 (72.961)
Epoch: [60][1370/5005] Time 0.213 (0.214) Data 0.042 (0.048) Loss 2.3657 (2.2846) Prec@1 44.922 (47.695) Prec@5 71.875 (72.971)
Epoch: [60][1380/5005] Time 0.210 (0.214) Data 0.048 (0.048) Loss 2.3625 (2.2842) Prec@1 50.000 (47.708) Prec@5 71.094 (72.980)
Epoch: [60][1390/5005] Time 0.210 (0.214) Data 0.048 (0.048) Loss 2.2422 (2.2843) Prec@1 48.438 (47.713) Prec@5 73.828 (72.979)
Epoch: [60][1400/5005] Time 0.205 (0.214) Data 0.056 (0.048) Loss 2.1664 (2.2836) Prec@1 48.828 (47.723) Prec@5 75.000 (72.989)
Epoch: [60][1410/5005] Time 0.213 (0.214) Data 0.045 (0.048) Loss 2.2972 (2.2835) Prec@1 50.391 (47.729) Prec@5 73.438 (72.988)
Epoch: [60][1420/5005] Time 0.211 (0.214) Data 0.043 (0.048) Loss 2.5627 (2.2836) Prec@1 44.141 (47.733) Prec@5 67.969 (72.989)
Epoch: [60][1430/5005] Time 0.217 (0.214) Data 0.046 (0.048) Loss 1.9251 (2.2833) Prec@1 51.172 (47.740) Prec@5 80.078 (72.991)
Epoch: [60][1440/5005] Time 0.202 (0.214) Data 0.042 (0.048) Loss 1.9885 (2.2830) Prec@1 51.953 (47.737) Prec@5 78.125 (72.996)
Epoch: [60][1450/5005] Time 0.207 (0.214) Data 0.039 (0.048) Loss 2.2785 (2.2831) Prec@1 48.438 (47.742) Prec@5 72.656 (72.994)
Epoch: [60][1460/5005] Time 0.204 (0.213) Data 0.050 (0.048) Loss 2.3052 (2.2829) Prec@1 45.312 (47.748) Prec@5 70.312 (72.994)
Epoch: [60][1470/5005] Time 0.207 (0.213) Data 0.043 (0.048) Loss 2.2665 (2.2829) Prec@1 49.219 (47.751) Prec@5 73.828 (72.993)
Epoch: [60][1480/5005] Time 0.209 (0.213) Data 0.057 (0.048) Loss 2.1123 (2.2829) Prec@1 51.172 (47.747) Prec@5 75.391 (72.990)
Epoch: [60][1490/5005] Time 0.193 (0.213) Data 0.058 (0.048) Loss 2.6151 (2.2829) Prec@1 39.844 (47.746) Prec@5 69.922 (72.992)
Epoch: [60][1500/5005] Time 0.213 (0.213) Data 0.044 (0.048) Loss 2.3302 (2.2827) Prec@1 50.391 (47.751) Prec@5 71.875 (72.995)
Epoch: [60][1510/5005] Time 0.215 (0.213) Data 0.043 (0.048) Loss 2.1799 (2.2824) Prec@1 48.438 (47.760) Prec@5 76.953 (73.006)
Epoch: [60][1520/5005] Time 0.209 (0.213) Data 0.047 (0.048) Loss 2.4354 (2.2822) Prec@1 46.875 (47.767) Prec@5 73.047 (73.010)
Epoch: [60][1530/5005] Time 0.215 (0.213) Data 0.047 (0.048) Loss 2.3840 (2.2823) Prec@1 46.875 (47.774) Prec@5 70.703 (73.007)
Epoch: [60][1540/5005] Time 0.203 (0.213) Data 0.048 (0.048) Loss 2.3416 (2.2826) Prec@1 45.703 (47.767) Prec@5 68.750 (72.996)
Epoch: [60][1550/5005] Time 0.209 (0.213) Data 0.043 (0.048) Loss 2.1601 (2.2824) Prec@1 49.219 (47.768) Prec@5 75.781 (73.001)
Epoch: [60][1560/5005] Time 0.213 (0.213) Data 0.046 (0.048) Loss 2.2058 (2.2825) Prec@1 48.047 (47.765) Prec@5 74.609 (73.003)
Epoch: [60][1570/5005] Time 0.213 (0.213) Data 0.056 (0.048) Loss 2.2035 (2.2824) Prec@1 46.875 (47.763) Prec@5 75.391 (72.999)
Epoch: [60][1580/5005] Time 0.205 (0.213) Data 0.047 (0.048) Loss 2.1195 (2.2826) Prec@1 50.781 (47.752) Prec@5 76.172 (72.999)
Epoch: [60][1590/5005] Time 0.212 (0.213) Data 0.045 (0.048) Loss 2.1961 (2.2826) Prec@1 51.562 (47.751) Prec@5 73.438 (72.995)
Epoch: [60][1600/5005] Time 0.219 (0.213) Data 0.047 (0.048) Loss 2.3527 (2.2827) Prec@1 48.828 (47.750) Prec@5 72.266 (72.995)
Epoch: [60][1610/5005] Time 0.206 (0.213) Data 0.048 (0.048) Loss 2.3630 (2.2828) Prec@1 47.656 (47.752) Prec@5 72.656 (72.992)
Epoch: [60][1620/5005] Time 0.203 (0.213) Data 0.047 (0.048) Loss 2.4905 (2.2825) Prec@1 42.969 (47.754) Prec@5 69.922 (72.996)
Epoch: [60][1630/5005] Time 0.212 (0.213) Data 0.058 (0.048) Loss 2.1768 (2.2826) Prec@1 50.781 (47.750) Prec@5 76.562 (72.996)
Epoch: [60][1640/5005] Time 0.214 (0.213) Data 0.046 (0.048) Loss 2.3699 (2.2827) Prec@1 49.609 (47.751) Prec@5 72.266 (72.998)
Epoch: [60][1650/5005] Time 0.209 (0.213) Data 0.051 (0.048) Loss 2.2475 (2.2825) Prec@1 50.000 (47.759) Prec@5 71.875 (72.998)
Epoch: [60][1660/5005] Time 0.201 (0.213) Data 0.057 (0.048) Loss 2.1425 (2.2821) Prec@1 54.297 (47.772) Prec@5 73.828 (73.001)
Epoch: [60][1670/5005] Time 0.205 (0.213) Data 0.045 (0.048) Loss 2.1343 (2.2824) Prec@1 53.125 (47.770) Prec@5 75.391 (72.998)
Epoch: [60][1680/5005] Time 0.212 (0.213) Data 0.067 (0.048) Loss 2.5871 (2.2826) Prec@1 49.609 (47.769) Prec@5 68.359 (72.995)
Epoch: [60][1690/5005] Time 0.198 (0.213) Data 0.058 (0.048) Loss 2.0877 (2.2825) Prec@1 48.438 (47.756) Prec@5 79.297 (73.005)
Epoch: [60][1700/5005] Time 0.204 (0.213) Data 0.060 (0.048) Loss 2.2479 (2.2820) Prec@1 47.266 (47.764) Prec@5 74.219 (73.015)
Epoch: [60][1710/5005] Time 0.200 (0.213) Data 0.051 (0.048) Loss 2.1342 (2.2816) Prec@1 50.781 (47.764) Prec@5 78.516 (73.026)
Epoch: [60][1720/5005] Time 0.210 (0.213) Data 0.061 (0.048) Loss 2.4261 (2.2816) Prec@1 44.531 (47.762) Prec@5 71.484 (73.030)
Epoch: [60][1730/5005] Time 0.202 (0.213) Data 0.057 (0.048) Loss 2.3317 (2.2816) Prec@1 45.312 (47.758) Prec@5 71.484 (73.035)
Epoch: [60][1740/5005] Time 0.200 (0.213) Data 0.047 (0.048) Loss 2.4636 (2.2815) Prec@1 45.703 (47.764) Prec@5 69.141 (73.035)
Epoch: [60][1750/5005] Time 0.211 (0.213) Data 0.042 (0.048) Loss 2.1927 (2.2811) Prec@1 48.828 (47.770) Prec@5 73.828 (73.041)
Epoch: [60][1760/5005] Time 0.217 (0.213) Data 0.043 (0.048) Loss 2.0397 (2.2807) Prec@1 53.125 (47.782) Prec@5 78.906 (73.048)
Epoch: [60][1770/5005] Time 0.215 (0.213) Data 0.042 (0.048) Loss 2.4780 (2.2805) Prec@1 42.188 (47.782) Prec@5 70.703 (73.055)
Epoch: [60][1780/5005] Time 0.207 (0.213) Data 0.049 (0.048) Loss 2.1608 (2.2802) Prec@1 47.266 (47.783) Prec@5 77.344 (73.058)
Epoch: [60][1790/5005] Time 0.203 (0.213) Data 0.041 (0.048) Loss 2.0949 (2.2799) Prec@1 52.344 (47.795) Prec@5 77.734 (73.067)
Epoch: [60][1800/5005] Time 0.210 (0.213) Data 0.044 (0.048) Loss 2.2847 (2.2798) Prec@1 44.141 (47.793) Prec@5 73.047 (73.068)
Epoch: [60][1810/5005] Time 0.211 (0.213) Data 0.046 (0.048) Loss 2.1246 (2.2796) Prec@1 48.828 (47.793) Prec@5 76.953 (73.072)
Epoch: [60][1820/5005] Time 0.218 (0.213) Data 0.051 (0.048) Loss 2.2693 (2.2796) Prec@1 48.438 (47.796) Prec@5 75.781 (73.075)
Epoch: [60][1830/5005] Time 0.211 (0.213) Data 0.047 (0.048) Loss 2.1032 (2.2792) Prec@1 51.562 (47.804) Prec@5 75.391 (73.082)
Epoch: [60][1840/5005] Time 0.215 (0.213) Data 0.045 (0.048) Loss 2.4640 (2.2790) Prec@1 44.141 (47.803) Prec@5 71.875 (73.084)
Epoch: [60][1850/5005] Time 0.215 (0.213) Data 0.046 (0.048) Loss 2.2594 (2.2787) Prec@1 49.219 (47.808) Prec@5 75.781 (73.091)
Epoch: [60][1860/5005] Time 0.205 (0.213) Data 0.044 (0.048) Loss 2.1649 (2.2787) Prec@1 53.906 (47.803) Prec@5 75.000 (73.090)
Epoch: [60][1870/5005] Time 0.210 (0.213) Data 0.044 (0.048) Loss 2.4279 (2.2790) Prec@1 42.578 (47.794) Prec@5 71.094 (73.080)
Epoch: [60][1880/5005] Time 0.210 (0.213) Data 0.043 (0.048) Loss 2.2092 (2.2793) Prec@1 48.828 (47.792) Prec@5 73.438 (73.081)
Epoch: [60][1890/5005] Time 0.213 (0.213) Data 0.043 (0.048) Loss 2.3375 (2.2793) Prec@1 48.828 (47.791) Prec@5 71.094 (73.080)
Epoch: [60][1900/5005] Time 0.211 (0.212) Data 0.042 (0.048) Loss 2.3365 (2.2797) Prec@1 45.312 (47.783) Prec@5 71.875 (73.073)
Epoch: [60][1910/5005] Time 0.213 (0.212) Data 0.043 (0.048) Loss 2.2866 (2.2797) Prec@1 47.656 (47.778) Prec@5 73.828 (73.070)
Epoch: [60][1920/5005] Time 0.212 (0.212) Data 0.044 (0.048) Loss 2.2131 (2.2795) Prec@1 47.266 (47.782) Prec@5 74.609 (73.073)
Epoch: [60][1930/5005] Time 0.198 (0.212) Data 0.048 (0.048) Loss 2.0937 (2.2793) Prec@1 53.125 (47.789) Prec@5 76.562 (73.077)
Epoch: [60][1940/5005] Time 0.212 (0.212) Data 0.045 (0.048) Loss 1.9981 (2.2788) Prec@1 52.344 (47.794) Prec@5 77.344 (73.091)
Epoch: [60][1950/5005] Time 0.217 (0.212) Data 0.042 (0.048) Loss 2.4016 (2.2787) Prec@1 46.875 (47.798) Prec@5 71.094 (73.089)
Epoch: [60][1960/5005] Time 0.207 (0.212) Data 0.042 (0.048) Loss 2.1738 (2.2784) Prec@1 51.562 (47.800) Prec@5 75.391 (73.093)
Epoch: [60][1970/5005] Time 0.209 (0.212) Data 0.041 (0.048) Loss 2.3430 (2.2785) Prec@1 44.531 (47.795) Prec@5 70.703 (73.093)
Epoch: [60][1980/5005] Time 0.206 (0.212) Data 0.040 (0.048) Loss 2.0493 (2.2784) Prec@1 53.125 (47.800) Prec@5 75.391 (73.099)
Epoch: [60][1990/5005] Time 0.212 (0.212) Data 0.044 (0.048) Loss 1.9799 (2.2783) Prec@1 53.906 (47.805) Prec@5 77.344 (73.097)
Epoch: [60][2000/5005] Time 0.197 (0.212) Data 0.053 (0.048) Loss 2.1795 (2.2784) Prec@1 51.562 (47.810) Prec@5 73.438 (73.095)
Epoch: [60][2010/5005] Time 0.197 (0.212) Data 0.061 (0.048) Loss 2.1238 (2.2785) Prec@1 49.609 (47.806) Prec@5 73.828 (73.093)
Epoch: [60][2020/5005] Time 0.219 (0.212) Data 0.046 (0.048) Loss 2.2084 (2.2787) Prec@1 54.297 (47.803) Prec@5 73.828 (73.089)
Epoch: [60][2030/5005] Time 0.203 (0.212) Data 0.045 (0.048) Loss 2.2315 (2.2787) Prec@1 46.875 (47.808) Prec@5 73.438 (73.090)
Epoch: [60][2040/5005] Time 0.204 (0.212) Data 0.046 (0.048) Loss 2.0990 (2.2786) Prec@1 51.562 (47.813) Prec@5 75.391 (73.090)
Epoch: [60][2050/5005] Time 0.206 (0.212) Data 0.043 (0.048) Loss 2.3783 (2.2784) Prec@1 47.656 (47.820) Prec@5 71.094 (73.091)
Epoch: [60][2060/5005] Time 0.211 (0.212) Data 0.047 (0.048) Loss 2.2738 (2.2784) Prec@1 44.531 (47.815) Prec@5 71.875 (73.090)
Epoch: [60][2070/5005] Time 0.212 (0.212) Data 0.043 (0.048) Loss 2.4577 (2.2786) Prec@1 41.797 (47.810) Prec@5 67.578 (73.086)
Epoch: [60][2080/5005] Time 0.208 (0.212) Data 0.048 (0.048) Loss 2.2524 (2.2785) Prec@1 50.000 (47.814) Prec@5 75.391 (73.090)
Epoch: [60][2090/5005] Time 0.215 (0.212) Data 0.043 (0.048) Loss 2.1608 (2.2780) Prec@1 48.438 (47.823) Prec@5 76.562 (73.098)
Epoch: [60][2100/5005] Time 0.201 (0.212) Data 0.043 (0.048) Loss 2.3811 (2.2779) Prec@1 45.703 (47.827) Prec@5 72.656 (73.098)
Epoch: [60][2110/5005] Time 0.215 (0.212) Data 0.042 (0.048) Loss 2.0544 (2.2778) Prec@1 53.906 (47.834) Prec@5 75.781 (73.097)
Epoch: [60][2120/5005] Time 0.208 (0.212) Data 0.039 (0.048) Loss 2.3538 (2.2778) Prec@1 47.266 (47.833) Prec@5 70.703 (73.095)
Epoch: [60][2130/5005] Time 0.209 (0.212) Data 0.042 (0.048) Loss 2.2808 (2.2774) Prec@1 49.219 (47.837) Prec@5 71.875 (73.101)
Epoch: [60][2140/5005] Time 0.215 (0.212) Data 0.043 (0.048) Loss 2.2638 (2.2775) Prec@1 47.656 (47.839) Prec@5 73.438 (73.097)
Epoch: [60][2150/5005] Time 0.208 (0.212) Data 0.042 (0.048) Loss 2.0881 (2.2774) Prec@1 49.219 (47.843) Prec@5 76.953 (73.097)
Epoch: [60][2160/5005] Time 0.216 (0.212) Data 0.043 (0.048) Loss 2.1632 (2.2773) Prec@1 50.391 (47.841) Prec@5 74.219 (73.102)
Epoch: [60][2170/5005] Time 0.205 (0.212) Data 0.040 (0.048) Loss 2.0139 (2.2770) Prec@1 53.906 (47.843) Prec@5 76.562 (73.110)
Epoch: [60][2180/5005] Time 0.206 (0.212) Data 0.040 (0.048) Loss 2.2938 (2.2771) Prec@1 50.781 (47.842) Prec@5 70.312 (73.105)
Epoch: [60][2190/5005] Time 0.206 (0.212) Data 0.043 (0.048) Loss 2.5251 (2.2773) Prec@1 42.578 (47.836) Prec@5 66.797 (73.100)
Epoch: [60][2200/5005] Time 0.204 (0.212) Data 0.042 (0.048) Loss 2.4235 (2.2776) Prec@1 42.188 (47.834) Prec@5 71.484 (73.099)
Epoch: [60][2210/5005] Time 0.213 (0.212) Data 0.056 (0.048) Loss 2.3690 (2.2780) Prec@1 49.219 (47.821) Prec@5 69.141 (73.095)
Epoch: [60][2220/5005] Time 0.210 (0.212) Data 0.058 (0.048) Loss 2.2543 (2.2778) Prec@1 51.953 (47.826) Prec@5 73.047 (73.096)
Epoch: [60][2230/5005] Time 0.201 (0.212) Data 0.057 (0.048) Loss 2.2514 (2.2778) Prec@1 48.438 (47.826) Prec@5 75.391 (73.098)
Epoch: [60][2240/5005] Time 0.207 (0.212) Data 0.044 (0.048) Loss 2.2658 (2.2779) Prec@1 50.391 (47.827) Prec@5 73.828 (73.095)
Epoch: [60][2250/5005] Time 0.213 (0.212) Data 0.043 (0.048) Loss 2.0749 (2.2778) Prec@1 49.219 (47.829) Prec@5 75.391 (73.096)
Epoch: [60][2260/5005] Time 0.213 (0.212) Data 0.043 (0.048) Loss 2.1579 (2.2776) Prec@1 49.219 (47.834) Prec@5 74.219 (73.100)
Epoch: [60][2270/5005] Time 0.219 (0.212) Data 0.053 (0.048) Loss 2.3312 (2.2772) Prec@1 48.047 (47.843) Prec@5 70.312 (73.103)
Epoch: [60][2280/5005] Time 0.215 (0.212) Data 0.045 (0.048) Loss 2.3095 (2.2772) Prec@1 45.312 (47.846) Prec@5 72.266 (73.105)
Epoch: [60][2290/5005] Time 0.215 (0.212) Data 0.042 (0.048) Loss 2.2019 (2.2772) Prec@1 50.391 (47.846) Prec@5 75.391 (73.102)
Epoch: [60][2300/5005] Time 0.206 (0.212) Data 0.042 (0.048) Loss 2.0766 (2.2771) Prec@1 49.609 (47.847) Prec@5 75.781 (73.105)
Epoch: [60][2310/5005] Time 0.209 (0.212) Data 0.043 (0.048) Loss 2.0131 (2.2769) Prec@1 50.000 (47.849) Prec@5 79.688 (73.113)
Epoch: [60][2320/5005] Time 0.218 (0.212) Data 0.046 (0.047) Loss 2.4400 (2.2770) Prec@1 48.438 (47.854) Prec@5 71.875 (73.112)
Epoch: [60][2330/5005] Time 0.215 (0.212) Data 0.044 (0.047) Loss 2.2810 (2.2771) Prec@1 48.047 (47.853) Prec@5 71.094 (73.109)
Epoch: [60][2340/5005] Time 0.216 (0.212) Data 0.048 (0.047) Loss 2.2908 (2.2768) Prec@1 46.094 (47.853) Prec@5 74.609 (73.117)
Epoch: [60][2350/5005] Time 0.211 (0.212) Data 0.044 (0.047) Loss 2.0755 (2.2767) Prec@1 49.609 (47.855) Prec@5 74.609 (73.117)
Epoch: [60][2360/5005] Time 0.210 (0.212) Data 0.041 (0.047) Loss 2.2853 (2.2767) Prec@1 48.438 (47.858) Prec@5 71.484 (73.117)
Epoch: [60][2370/5005] Time 0.209 (0.212) Data 0.048 (0.047) Loss 2.2888 (2.2770) Prec@1 48.438 (47.855) Prec@5 70.703 (73.112)
Epoch: [60][2380/5005] Time 0.200 (0.212) Data 0.047 (0.047) Loss 2.2266 (2.2766) Prec@1 50.781 (47.868) Prec@5 73.047 (73.119)
Epoch: [60][2390/5005] Time 0.203 (0.212) Data 0.049 (0.047) Loss 2.2990 (2.2764) Prec@1 50.781 (47.870) Prec@5 73.047 (73.118)
Epoch: [60][2400/5005] Time 0.205 (0.212) Data 0.044 (0.047) Loss 2.2562 (2.2762) Prec@1 48.828 (47.877) Prec@5 73.047 (73.125)
Epoch: [60][2410/5005] Time 0.214 (0.212) Data 0.044 (0.047) Loss 2.4824 (2.2763) Prec@1 42.578 (47.873) Prec@5 68.359 (73.122)
Epoch: [60][2420/5005] Time 0.214 (0.212) Data 0.045 (0.047) Loss 2.1844 (2.2760) Prec@1 48.047 (47.878) Prec@5 76.953 (73.130)
Epoch: [60][2430/5005] Time 0.215 (0.212) Data 0.046 (0.047) Loss 2.1304 (2.2762) Prec@1 48.047 (47.875) Prec@5 74.609 (73.129)
Epoch: [60][2440/5005] Time 0.212 (0.212) Data 0.040 (0.047) Loss 2.0997 (2.2760) Prec@1 53.906 (47.881) Prec@5 73.828 (73.128)
Epoch: [60][2450/5005] Time 0.211 (0.212) Data 0.044 (0.047) Loss 2.2410 (2.2758) Prec@1 48.438 (47.885) Prec@5 73.047 (73.128)
Epoch: [60][2460/5005] Time 0.206 (0.212) Data 0.043 (0.047) Loss 2.1644 (2.2757) Prec@1 48.047 (47.885) Prec@5 76.562 (73.131)
Epoch: [60][2470/5005] Time 0.205 (0.212) Data 0.041 (0.047) Loss 2.1538 (2.2754) Prec@1 51.562 (47.888) Prec@5 72.266 (73.136)
Epoch: [60][2480/5005] Time 0.209 (0.212) Data 0.041 (0.047) Loss 2.3122 (2.2756) Prec@1 46.094 (47.887) Prec@5 71.875 (73.132)
Epoch: [60][2490/5005] Time 0.210 (0.212) Data 0.044 (0.047) Loss 2.0554 (2.2756) Prec@1 53.516 (47.887) Prec@5 75.391 (73.130)
Epoch: [60][2500/5005] Time 0.201 (0.212) Data 0.052 (0.047) Loss 2.3217 (2.2755) Prec@1 50.391 (47.885) Prec@5 66.016 (73.127)
Epoch: [60][2510/5005] Time 0.209 (0.212) Data 0.049 (0.047) Loss 2.4518 (2.2757) Prec@1 46.094 (47.880) Prec@5 71.094 (73.125)
Epoch: [60][2520/5005] Time 0.210 (0.212) Data 0.050 (0.047) Loss 2.2101 (2.2756) Prec@1 50.000 (47.884) Prec@5 74.609 (73.125)
Epoch: [60][2530/5005] Time 0.208 (0.212) Data 0.064 (0.047) Loss 2.4766 (2.2756) Prec@1 45.703 (47.885) Prec@5 68.359 (73.128)
Epoch: [60][2540/5005] Time 0.221 (0.212) Data 0.046 (0.047) Loss 2.3106 (2.2756) Prec@1 45.312 (47.885) Prec@5 73.438 (73.128)
Epoch: [60][2550/5005] Time 0.215 (0.212) Data 0.044 (0.047) Loss 2.1906 (2.2756) Prec@1 49.219 (47.886) Prec@5 78.125 (73.132)
Epoch: [60][2560/5005] Time 0.207 (0.212) Data 0.048 (0.047) Loss 2.4570 (2.2756) Prec@1 45.703 (47.883) Prec@5 66.797 (73.132)
Epoch: [60][2570/5005] Time 0.200 (0.212) Data 0.047 (0.047) Loss 2.1548 (2.2756) Prec@1 48.828 (47.883) Prec@5 75.391 (73.133)
Epoch: [60][2580/5005] Time 0.212 (0.212) Data 0.043 (0.047) Loss 2.3915 (2.2760) Prec@1 41.797 (47.876) Prec@5 70.312 (73.128)
Epoch: [60][2590/5005] Time 0.210 (0.212) Data 0.044 (0.047) Loss 2.3817 (2.2758) Prec@1 43.359 (47.878) Prec@5 70.312 (73.130)
Epoch: [60][2600/5005] Time 0.211 (0.212) Data 0.044 (0.047) Loss 2.3242 (2.2759) Prec@1 49.219 (47.876) Prec@5 74.219 (73.126)
Epoch: [60][2610/5005] Time 0.204 (0.212) Data 0.056 (0.047) Loss 2.4030 (2.2757) Prec@1 46.875 (47.882) Prec@5 69.141 (73.127)
Epoch: [60][2620/5005] Time 0.205 (0.212) Data 0.048 (0.047) Loss 2.1869 (2.2757) Prec@1 46.875 (47.881) Prec@5 73.828 (73.128)
Epoch: [60][2630/5005] Time 0.208 (0.212) Data 0.044 (0.047) Loss 2.4399 (2.2761) Prec@1 48.047 (47.879) Prec@5 71.875 (73.120)
Epoch: [60][2640/5005] Time 0.202 (0.212) Data 0.044 (0.047) Loss 2.3581 (2.2761) Prec@1 44.141 (47.877) Prec@5 69.141 (73.120)
Epoch: [60][2650/5005] Time 0.206 (0.212) Data 0.045 (0.047) Loss 2.5101 (2.2762) Prec@1 40.234 (47.876) Prec@5 67.578 (73.117)
Epoch: [60][2660/5005] Time 0.204 (0.212) Data 0.058 (0.047) Loss 2.1979 (2.2762) Prec@1 50.000 (47.876) Prec@5 73.828 (73.117)
Epoch: [60][2670/5005] Time 0.207 (0.212) Data 0.042 (0.047) Loss 2.0044 (2.2760) Prec@1 53.516 (47.886) Prec@5 78.516 (73.120)
Epoch: [60][2680/5005] Time 0.208 (0.212) Data 0.043 (0.047) Loss 2.2227 (2.2760) Prec@1 44.922 (47.884) Prec@5 73.047 (73.119)
Epoch: [60][2690/5005] Time 0.217 (0.212) Data 0.044 (0.047) Loss 2.2213 (2.2758) Prec@1 50.000 (47.885) Prec@5 73.438 (73.121)
Epoch: [60][2700/5005] Time 0.211 (0.212) Data 0.042 (0.047) Loss 2.2439 (2.2759) Prec@1 45.703 (47.883) Prec@5 73.438 (73.120)
Epoch: [60][2710/5005] Time 0.208 (0.212) Data 0.045 (0.047) Loss 2.3095 (2.2761) Prec@1 45.703 (47.880) Prec@5 70.703 (73.117)
Epoch: [60][2720/5005] Time 0.214 (0.211) Data 0.043 (0.047) Loss 2.0281 (2.2760) Prec@1 53.125 (47.879) Prec@5 78.516 (73.118)
Epoch: [60][2730/5005] Time 0.210 (0.211) Data 0.046 (0.047) Loss 2.3184 (2.2757) Prec@1 48.438 (47.883) Prec@5 71.875 (73.123)
Epoch: [60][2740/5005] Time 0.208 (0.211) Data 0.046 (0.047) Loss 2.1825 (2.2756) Prec@1 48.438 (47.882) Prec@5 73.828 (73.121)
Epoch: [60][2750/5005] Time 0.206 (0.211) Data 0.038 (0.047) Loss 2.3711 (2.2754) Prec@1 44.141 (47.888) Prec@5 71.484 (73.121)
Epoch: [60][2760/5005] Time 0.206 (0.211) Data 0.057 (0.047) Loss 2.2670 (2.2752) Prec@1 47.266 (47.891) Prec@5 71.484 (73.126)
Epoch: [60][2770/5005] Time 0.204 (0.211) Data 0.050 (0.047) Loss 2.1450 (2.2751) Prec@1 54.688 (47.893) Prec@5 76.562 (73.127)
Epoch: [60][2780/5005] Time 0.211 (0.211) Data 0.042 (0.047) Loss 2.4979 (2.2751) Prec@1 44.531 (47.893) Prec@5 69.922 (73.126)
Epoch: [60][2790/5005] Time 0.214 (0.211) Data 0.043 (0.047) Loss 2.5340 (2.2751) Prec@1 39.844 (47.889) Prec@5 66.797 (73.126)
Epoch: [60][2800/5005] Time 0.198 (0.211) Data 0.042 (0.047) Loss 2.1162 (2.2751) Prec@1 53.906 (47.894) Prec@5 76.172 (73.130)
Epoch: [60][2810/5005] Time 0.212 (0.211) Data 0.044 (0.047) Loss 2.3837 (2.2751) Prec@1 45.703 (47.898) Prec@5 73.828 (73.131)
Epoch: [60][2820/5005] Time 0.211 (0.211) Data 0.043 (0.047) Loss 1.9383 (2.2749) Prec@1 53.906 (47.900) Prec@5 76.953 (73.133)
Epoch: [60][2830/5005] Time 0.219 (0.211) Data 0.041 (0.047) Loss 2.5017 (2.2749) Prec@1 44.141 (47.901) Prec@5 71.094 (73.136)
Epoch: [60][2840/5005] Time 0.208 (0.211) Data 0.041 (0.047) Loss 2.3284 (2.2748) Prec@1 47.266 (47.902) Prec@5 72.266 (73.139)
Epoch: [60][2850/5005] Time 0.206 (0.211) Data 0.040 (0.047) Loss 2.1817 (2.2746) Prec@1 51.172 (47.907) Prec@5 73.828 (73.140)
Epoch: [60][2860/5005] Time 0.213 (0.211) Data 0.043 (0.047) Loss 2.3095 (2.2749) Prec@1 46.875 (47.905) Prec@5 73.047 (73.136)
Epoch: [60][2870/5005] Time 0.217 (0.211) Data 0.042 (0.047) Loss 2.2009 (2.2747) Prec@1 50.000 (47.911) Prec@5 75.000 (73.137)
Epoch: [60][2880/5005] Time 0.208 (0.211) Data 0.046 (0.047) Loss 2.2448 (2.2747) Prec@1 47.656 (47.909) Prec@5 74.609 (73.137)
Epoch: [60][2890/5005] Time 0.195 (0.211) Data 0.040 (0.047) Loss 2.2244 (2.2745) Prec@1 44.922 (47.913) Prec@5 73.047 (73.139)
Epoch: [60][2900/5005] Time 0.201 (0.211) Data 0.041 (0.047) Loss 2.0874 (2.2743) Prec@1 53.125 (47.917) Prec@5 76.172 (73.143)
Epoch: [60][2910/5005] Time 0.222 (0.211) Data 0.040 (0.047) Loss 2.1680 (2.2743) Prec@1 48.438 (47.919) Prec@5 72.266 (73.140)
Epoch: [60][2920/5005] Time 0.213 (0.211) Data 0.047 (0.047) Loss 2.3833 (2.2743) Prec@1 43.359 (47.921) Prec@5 69.531 (73.143)
Epoch: [60][2930/5005] Time 0.204 (0.211) Data 0.063 (0.047) Loss 2.2633 (2.2743) Prec@1 48.047 (47.920) Prec@5 73.828 (73.141)
Epoch: [60][2940/5005] Time 0.205 (0.211) Data 0.043 (0.047) Loss 2.3845 (2.2740) Prec@1 42.188 (47.922) Prec@5 73.828 (73.147)
Epoch: [60][2950/5005] Time 0.215 (0.211) Data 0.048 (0.047) Loss 2.4002 (2.2739) Prec@1 46.094 (47.928) Prec@5 71.094 (73.151)
Epoch: [60][2960/5005] Time 0.206 (0.211) Data 0.059 (0.047) Loss 2.2794 (2.2738) Prec@1 50.000 (47.931) Prec@5 74.219 (73.153)
Epoch: [60][2970/5005] Time 0.202 (0.211) Data 0.059 (0.047) Loss 2.4769 (2.2736) Prec@1 41.016 (47.935) Prec@5 68.359 (73.156)
Epoch: [60][2980/5005] Time 0.192 (0.211) Data 0.042 (0.047) Loss 2.4888 (2.2737) Prec@1 44.141 (47.934) Prec@5 68.750 (73.156)
Epoch: [60][2990/5005] Time 0.198 (0.211) Data 0.045 (0.047) Loss 2.1698 (2.2737) Prec@1 51.953 (47.935) Prec@5 75.000 (73.158)
Epoch: [60][3000/5005] Time 0.206 (0.211) Data 0.046 (0.047) Loss 2.2316 (2.2735) Prec@1 46.484 (47.939) Prec@5 73.438 (73.160)
Epoch: [60][3010/5005] Time 0.210 (0.211) Data 0.044 (0.047) Loss 2.1466 (2.2735) Prec@1 51.562 (47.941) Prec@5 76.172 (73.157)
Epoch: [60][3020/5005] Time 0.205 (0.211) Data 0.047 (0.047) Loss 2.1314 (2.2736) Prec@1 49.219 (47.941) Prec@5 75.000 (73.157)
Epoch: [60][3030/5005] Time 0.212 (0.211) Data 0.047 (0.047) Loss 2.1822 (2.2735) Prec@1 50.391 (47.940) Prec@5 76.172 (73.157)
Epoch: [60][3040/5005] Time 0.201 (0.211) Data 0.046 (0.047) Loss 2.1287 (2.2733) Prec@1 50.781 (47.947) Prec@5 75.000 (73.157)
Epoch: [60][3050/5005] Time 0.205 (0.211) Data 0.041 (0.047) Loss 2.2650 (2.2733) Prec@1 45.703 (47.943) Prec@5 74.609 (73.156)
Epoch: [60][3060/5005] Time 0.212 (0.211) Data 0.048 (0.047) Loss 2.0320 (2.2731) Prec@1 53.516 (47.946) Prec@5 77.344 (73.162)
Epoch: [60][3070/5005] Time 0.207 (0.211) Data 0.051 (0.047) Loss 2.1712 (2.2730) Prec@1 49.219 (47.948) Prec@5 73.828 (73.165)
Epoch: [60][3080/5005] Time 0.200 (0.211) Data 0.044 (0.047) Loss 2.1991 (2.2730) Prec@1 45.312 (47.946) Prec@5 71.875 (73.164)
Epoch: [60][3090/5005] Time 0.209 (0.211) Data 0.044 (0.047) Loss 2.5057 (2.2729) Prec@1 41.406 (47.946) Prec@5 72.656 (73.165)
Epoch: [60][3100/5005] Time 0.208 (0.211) Data 0.043 (0.047) Loss 2.2600 (2.2729) Prec@1 48.828 (47.944) Prec@5 72.266 (73.164)
Epoch: [60][3110/5005] Time 0.201 (0.211) Data 0.044 (0.047) Loss 2.0286 (2.2726) Prec@1 49.609 (47.950) Prec@5 80.078 (73.173)
Epoch: [60][3120/5005] Time 0.205 (0.211) Data 0.042 (0.047) Loss 2.3464 (2.2726) Prec@1 46.094 (47.948) Prec@5 71.875 (73.169)
Epoch: [60][3130/5005] Time 0.208 (0.211) Data 0.046 (0.047) Loss 2.3437 (2.2724) Prec@1 46.094 (47.954) Prec@5 72.656 (73.172)
Epoch: [60][3140/5005] Time 0.195 (0.211) Data 0.053 (0.047) Loss 2.0350 (2.2723) Prec@1 52.344 (47.956) Prec@5 77.344 (73.173)
Epoch: [60][3150/5005] Time 0.203 (0.211) Data 0.048 (0.047) Loss 2.1626 (2.2720) Prec@1 50.391 (47.964) Prec@5 71.875 (73.176)
Epoch: [60][3160/5005] Time 0.211 (0.211) Data 0.046 (0.047) Loss 2.1770 (2.2720) Prec@1 50.000 (47.967) Prec@5 75.391 (73.174)
Epoch: [60][3170/5005] Time 0.211 (0.211) Data 0.045 (0.047) Loss 2.2179 (2.2721) Prec@1 51.172 (47.965) Prec@5 72.656 (73.174)
Epoch: [60][3180/5005] Time 0.214 (0.211) Data 0.046 (0.047) Loss 2.1290 (2.2721) Prec@1 50.781 (47.964) Prec@5 76.562 (73.174)
Epoch: [60][3190/5005] Time 0.211 (0.211) Data 0.041 (0.047) Loss 2.2539 (2.2721) Prec@1 49.219 (47.963) Prec@5 75.000 (73.176)
Epoch: [60][3200/5005] Time 0.205 (0.211) Data 0.040 (0.047) Loss 2.2833 (2.2721) Prec@1 46.094 (47.966) Prec@5 74.609 (73.176)
Epoch: [60][3210/5005] Time 0.205 (0.211) Data 0.044 (0.047) Loss 2.3759 (2.2722) Prec@1 47.266 (47.966) Prec@5 71.484 (73.178)
Epoch: [60][3220/5005] Time 0.212 (0.211) Data 0.043 (0.047) Loss 2.3645 (2.2722) Prec@1 49.609 (47.970) Prec@5 70.312 (73.177)
Epoch: [60][3230/5005] Time 0.210 (0.211) Data 0.044 (0.047) Loss 2.1080 (2.2719) Prec@1 51.562 (47.978) Prec@5 74.609 (73.177)
Epoch: [60][3240/5005] Time 0.203 (0.211) Data 0.044 (0.047) Loss 2.5134 (2.2723) Prec@1 42.969 (47.974) Prec@5 66.797 (73.172)
Epoch: [60][3250/5005] Time 0.205 (0.211) Data 0.041 (0.047) Loss 2.1286 (2.2723) Prec@1 51.172 (47.974) Prec@5 76.953 (73.175)
Epoch: [60][3260/5005] Time 0.213 (0.211) Data 0.043 (0.047) Loss 2.2115 (2.2725) Prec@1 48.828 (47.974) Prec@5 73.047 (73.175)
Epoch: [60][3270/5005] Time 0.201 (0.211) Data 0.048 (0.047) Loss 2.4582 (2.2723) Prec@1 47.266 (47.977) Prec@5 69.531 (73.179)
Epoch: [60][3280/5005] Time 0.213 (0.211) Data 0.042 (0.047) Loss 1.9991 (2.2723) Prec@1 51.172 (47.973) Prec@5 76.953 (73.178)
Epoch: [60][3290/5005] Time 0.207 (0.211) Data 0.042 (0.047) Loss 2.2810 (2.2723) Prec@1 50.000 (47.972) Prec@5 72.656 (73.177)
Epoch: [60][3300/5005] Time 0.206 (0.211) Data 0.043 (0.047) Loss 2.1736 (2.2723) Prec@1 49.219 (47.975) Prec@5 73.438 (73.174)
Epoch: [60][3310/5005] Time 0.211 (0.211) Data 0.044 (0.047) Loss 2.0113 (2.2722) Prec@1 54.297 (47.975) Prec@5 76.562 (73.176)
Epoch: [60][3320/5005] Time 0.219 (0.211) Data 0.043 (0.047) Loss 2.3434 (2.2722) Prec@1 48.828 (47.976) Prec@5 71.875 (73.177)
Epoch: [60][3330/5005] Time 0.209 (0.211) Data 0.043 (0.047) Loss 2.3252 (2.2722) Prec@1 51.562 (47.977) Prec@5 68.750 (73.176)
Epoch: [60][3340/5005] Time 0.202 (0.211) Data 0.052 (0.047) Loss 2.4249 (2.2722) Prec@1 44.922 (47.978) Prec@5 70.312 (73.174)
Epoch: [60][3350/5005] Time 0.212 (0.211) Data 0.045 (0.047) Loss 2.3937 (2.2721) Prec@1 46.875 (47.979) Prec@5 71.484 (73.176)
Epoch: [60][3360/5005] Time 0.212 (0.211) Data 0.046 (0.047) Loss 2.1885 (2.2721) Prec@1 52.734 (47.981) Prec@5 72.656 (73.177)
Epoch: [60][3370/5005] Time 0.207 (0.211) Data 0.044 (0.047) Loss 2.3022 (2.2722) Prec@1 46.094 (47.975) Prec@5 73.438 (73.176)
Epoch: [60][3380/5005] Time 0.202 (0.211) Data 0.044 (0.047) Loss 2.2224 (2.2721) Prec@1 48.047 (47.977) Prec@5 75.391 (73.178)
Epoch: [60][3390/5005] Time 0.202 (0.211) Data 0.046 (0.047) Loss 2.2726 (2.2721) Prec@1 48.438 (47.975) Prec@5 75.000 (73.176)
Epoch: [60][3400/5005] Time 0.208 (0.211) Data 0.048 (0.047) Loss 2.2247 (2.2722) Prec@1 47.266 (47.974) Prec@5 76.562 (73.174)
Epoch: [60][3410/5005] Time 0.208 (0.211) Data 0.043 (0.047) Loss 2.1356 (2.2720) Prec@1 53.516 (47.979) Prec@5 75.000 (73.178)
Epoch: [60][3420/5005] Time 0.207 (0.211) Data 0.043 (0.047) Loss 2.2238 (2.2720) Prec@1 44.141 (47.979) Prec@5 73.828 (73.179)
Epoch: [60][3430/5005] Time 0.208 (0.211) Data 0.045 (0.047) Loss 2.2304 (2.2720) Prec@1 47.266 (47.979) Prec@5 71.875 (73.181)
Epoch: [60][3440/5005] Time 0.206 (0.211) Data 0.051 (0.047) Loss 2.1758 (2.2718) Prec@1 50.000 (47.982) Prec@5 75.000 (73.183)
Epoch: [60][3450/5005] Time 0.219 (0.211) Data 0.047 (0.047) Loss 2.1866 (2.2717) Prec@1 47.656 (47.985) Prec@5 73.438 (73.184)
Epoch: [60][3460/5005] Time 0.206 (0.211) Data 0.046 (0.047) Loss 2.2725 (2.2718) Prec@1 46.875 (47.984) Prec@5 72.266 (73.183)
Epoch: [60][3470/5005] Time 0.213 (0.211) Data 0.051 (0.047) Loss 2.0833 (2.2715) Prec@1 50.000 (47.987) Prec@5 74.609 (73.187)
Epoch: [60][3480/5005] Time 0.211 (0.211) Data 0.044 (0.047) Loss 2.0548 (2.2712) Prec@1 49.219 (47.993) Prec@5 76.562 (73.192)
Epoch: [60][3490/5005] Time 0.195 (0.211) Data 0.048 (0.047) Loss 2.3442 (2.2712) Prec@1 41.797 (47.991) Prec@5 73.828 (73.190)
Epoch: [60][3500/5005] Time 0.213 (0.211) Data 0.045 (0.047) Loss 2.1758 (2.2713) Prec@1 49.609 (47.988) Prec@5 78.125 (73.190)
Epoch: [60][3510/5005] Time 0.195 (0.211) Data 0.069 (0.047) Loss 2.1302 (2.2711) Prec@1 47.266 (47.988) Prec@5 74.219 (73.195)
Epoch: [60][3520/5005] Time 0.205 (0.211) Data 0.060 (0.047) Loss 2.4209 (2.2711) Prec@1 46.875 (47.990) Prec@5 72.656 (73.193)
Epoch: [60][3530/5005] Time 0.211 (0.211) Data 0.042 (0.047) Loss 2.3011 (2.2709) Prec@1 46.094 (47.996) Prec@5 71.875 (73.195)
Epoch: [60][3540/5005] Time 0.216 (0.211) Data 0.045 (0.047) Loss 2.2546 (2.2708) Prec@1 48.828 (47.997) Prec@5 72.656 (73.196)
Epoch: [60][3550/5005] Time 0.211 (0.211) Data 0.069 (0.047) Loss 2.3822 (2.2707) Prec@1 43.750 (47.999) Prec@5 72.266 (73.198)
Epoch: [60][3560/5005] Time 0.199 (0.211) Data 0.046 (0.047) Loss 2.3440 (2.2706) Prec@1 48.047 (48.004) Prec@5 71.094 (73.200)
Epoch: [60][3570/5005] Time 0.210 (0.211) Data 0.041 (0.047) Loss 2.3238 (2.2706) Prec@1 46.484 (48.004) Prec@5 75.000 (73.201)
Epoch: [60][3580/5005] Time 0.209 (0.211) Data 0.042 (0.047) Loss 2.1412 (2.2706) Prec@1 50.781 (48.004) Prec@5 76.172 (73.200)
Epoch: [60][3590/5005] Time 0.208 (0.211) Data 0.048 (0.047) Loss 2.3688 (2.2704) Prec@1 44.531 (48.010) Prec@5 70.312 (73.205)
Epoch: [60][3600/5005] Time 0.208 (0.211) Data 0.047 (0.047) Loss 2.2784 (2.2702) Prec@1 50.000 (48.013) Prec@5 71.875 (73.204)
Epoch: [60][3610/5005] Time 0.208 (0.211) Data 0.042 (0.047) Loss 2.0785 (2.2702) Prec@1 51.953 (48.013) Prec@5 75.781 (73.204)
Epoch: [60][3620/5005] Time 0.213 (0.211) Data 0.046 (0.047) Loss 2.3255 (2.2699) Prec@1 42.578 (48.019) Prec@5 73.828 (73.208)
Epoch: [60][3630/5005] Time 0.207 (0.211) Data 0.043 (0.047) Loss 2.4461 (2.2698) Prec@1 45.312 (48.020) Prec@5 69.922 (73.210)
Epoch: [60][3640/5005] Time 0.217 (0.211) Data 0.042 (0.047) Loss 2.2809 (2.2698) Prec@1 47.656 (48.023) Prec@5 72.266 (73.206)
Epoch: [60][3650/5005] Time 0.206 (0.211) Data 0.046 (0.047) Loss 2.0844 (2.2698) Prec@1 49.609 (48.021) Prec@5 77.344 (73.207)
Epoch: [60][3660/5005] Time 0.190 (0.211) Data 0.048 (0.047) Loss 2.3740 (2.2696) Prec@1 41.797 (48.022) Prec@5 68.750 (73.213)
Epoch: [60][3670/5005] Time 0.192 (0.211) Data 0.051 (0.047) Loss 2.3621 (2.2697) Prec@1 47.266 (48.018) Prec@5 73.047 (73.211)
Epoch: [60][3680/5005] Time 0.206 (0.211) Data 0.052 (0.047) Loss 2.0909 (2.2697) Prec@1 49.609 (48.018) Prec@5 76.562 (73.208)
Epoch: [60][3690/5005] Time 0.209 (0.211) Data 0.043 (0.047) Loss 2.1314 (2.2697) Prec@1 47.266 (48.017) Prec@5 76.172 (73.209)
Epoch: [60][3700/5005] Time 0.201 (0.211) Data 0.040 (0.047) Loss 2.3335 (2.2697) Prec@1 47.266 (48.014) Prec@5 73.047 (73.208)
Epoch: [60][3710/5005] Time 0.215 (0.211) Data 0.042 (0.047) Loss 2.1818 (2.2697) Prec@1 49.609 (48.015) Prec@5 75.000 (73.211)
Epoch: [60][3720/5005] Time 0.211 (0.211) Data 0.041 (0.047) Loss 2.3584 (2.2696) Prec@1 49.219 (48.017) Prec@5 70.312 (73.213)
Epoch: [60][3730/5005] Time 0.206 (0.211) Data 0.046 (0.047) Loss 2.0190 (2.2694) Prec@1 55.469 (48.019) Prec@5 78.516 (73.214)
Epoch: [60][3740/5005] Time 0.206 (0.211) Data 0.045 (0.047) Loss 2.1787 (2.2692) Prec@1 51.172 (48.023) Prec@5 75.391 (73.219)
Epoch: [60][3750/5005] Time 0.195 (0.211) Data 0.042 (0.047) Loss 2.0549 (2.2693) Prec@1 53.906 (48.022) Prec@5 76.953 (73.216)
Epoch: [60][3760/5005] Time 0.196 (0.211) Data 0.048 (0.047) Loss 2.2562 (2.2693) Prec@1 46.094 (48.018) Prec@5 74.609 (73.212)
Epoch: [60][3770/5005] Time 0.205 (0.211) Data 0.051 (0.047) Loss 2.3588 (2.2692) Prec@1 46.094 (48.019) Prec@5 74.219 (73.213)
Epoch: [60][3780/5005] Time 0.202 (0.211) Data 0.045 (0.047) Loss 2.2252 (2.2691) Prec@1 46.875 (48.022) Prec@5 73.438 (73.214)
Epoch: [60][3790/5005] Time 0.212 (0.211) Data 0.043 (0.047) Loss 2.4363 (2.2692) Prec@1 45.312 (48.022) Prec@5 70.312 (73.215)
Epoch: [60][3800/5005] Time 0.212 (0.211) Data 0.043 (0.047) Loss 2.1186 (2.2693) Prec@1 50.391 (48.020) Prec@5 73.828 (73.211)
Epoch: [60][3810/5005] Time 0.201 (0.211) Data 0.049 (0.047) Loss 2.1723 (2.2693) Prec@1 48.047 (48.019) Prec@5 77.344 (73.209)
Epoch: [60][3820/5005] Time 0.193 (0.211) Data 0.042 (0.047) Loss 2.2496 (2.2691) Prec@1 47.656 (48.024) Prec@5 73.828 (73.212)
Epoch: [60][3830/5005] Time 0.219 (0.211) Data 0.040 (0.047) Loss 2.3342 (2.2690) Prec@1 43.359 (48.024) Prec@5 71.484 (73.211)
Epoch: [60][3840/5005] Time 0.205 (0.211) Data 0.060 (0.047) Loss 2.5661 (2.2691) Prec@1 40.625 (48.021) Prec@5 68.359 (73.208)
Epoch: [60][3850/5005] Time 0.205 (0.211) Data 0.058 (0.047) Loss 2.3858 (2.2689) Prec@1 45.312 (48.023) Prec@5 69.141 (73.211)
Epoch: [60][3860/5005] Time 0.217 (0.211) Data 0.042 (0.047) Loss 2.0557 (2.2689) Prec@1 47.656 (48.024) Prec@5 74.609 (73.210)
Epoch: [60][3870/5005] Time 0.210 (0.211) Data 0.043 (0.047) Loss 2.1399 (2.2689) Prec@1 48.828 (48.022) Prec@5 77.344 (73.209)
Epoch: [60][3880/5005] Time 0.205 (0.211) Data 0.044 (0.047) Loss 2.1563 (2.2689) Prec@1 50.000 (48.025) Prec@5 76.172 (73.210)
Epoch: [60][3890/5005] Time 0.213 (0.211) Data 0.042 (0.047) Loss 2.5036 (2.2689) Prec@1 44.922 (48.024) Prec@5 71.484 (73.209)
Epoch: [60][3900/5005] Time 0.202 (0.211) Data 0.043 (0.047) Loss 2.4109 (2.2689) Prec@1 42.578 (48.023) Prec@5 72.656 (73.210)
Epoch: [60][3910/5005] Time 0.209 (0.211) Data 0.045 (0.047) Loss 2.2927 (2.2689) Prec@1 47.266 (48.025) Prec@5 73.047 (73.210)
Epoch: [60][3920/5005] Time 0.208 (0.211) Data 0.047 (0.047) Loss 2.2147 (2.2689) Prec@1 46.484 (48.023) Prec@5 73.047 (73.209)
Epoch: [60][3930/5005] Time 0.210 (0.211) Data 0.050 (0.047) Loss 2.2354 (2.2687) Prec@1 48.828 (48.025) Prec@5 71.484 (73.212)
Epoch: [60][3940/5005] Time 0.199 (0.210) Data 0.054 (0.047) Loss 2.4391 (2.2687) Prec@1 46.094 (48.025) Prec@5 70.312 (73.212)
Epoch: [60][3950/5005] Time 0.210 (0.210) Data 0.045 (0.047) Loss 2.2672 (2.2685) Prec@1 48.438 (48.028) Prec@5 76.953 (73.219)
Epoch: [60][3960/5005] Time 0.198 (0.210) Data 0.061 (0.047) Loss 2.1944 (2.2686) Prec@1 51.953 (48.026) Prec@5 74.219 (73.216)
Epoch: [60][3970/5005] Time 0.201 (0.210) Data 0.047 (0.047) Loss 2.2084 (2.2687) Prec@1 50.391 (48.021) Prec@5 73.828 (73.216)
Epoch: [60][3980/5005] Time 0.207 (0.210) Data 0.040 (0.047) Loss 1.9767 (2.2686) Prec@1 52.344 (48.022) Prec@5 78.125 (73.216)
Epoch: [60][3990/5005] Time 0.199 (0.210) Data 0.048 (0.047) Loss 2.3126 (2.2686) Prec@1 45.312 (48.019) Prec@5 73.438 (73.216)
Epoch: [60][4000/5005] Time 0.208 (0.210) Data 0.040 (0.047) Loss 2.1704 (2.2686) Prec@1 47.656 (48.020) Prec@5 73.828 (73.212)
Epoch: [60][4010/5005] Time 0.200 (0.210) Data 0.042 (0.047) Loss 2.3377 (2.2685) Prec@1 47.266 (48.023) Prec@5 71.484 (73.216)
Epoch: [60][4020/5005] Time 0.193 (0.210) Data 0.051 (0.047) Loss 2.3596 (2.2684) Prec@1 46.875 (48.025) Prec@5 70.312 (73.216)
Epoch: [60][4030/5005] Time 0.212 (0.210) Data 0.045 (0.047) Loss 2.4447 (2.2687) Prec@1 45.312 (48.021) Prec@5 69.922 (73.212)
Epoch: [60][4040/5005] Time 0.211 (0.210) Data 0.062 (0.047) Loss 2.2559 (2.2689) Prec@1 48.047 (48.017) Prec@5 68.750 (73.210)
Epoch: [60][4050/5005] Time 0.207 (0.210) Data 0.041 (0.047) Loss 2.3618 (2.2687) Prec@1 44.141 (48.019) Prec@5 70.703 (73.212)
Epoch: [60][4060/5005] Time 0.204 (0.210) Data 0.046 (0.047) Loss 2.3713 (2.2688) Prec@1 42.188 (48.018) Prec@5 70.312 (73.212)
Epoch: [60][4070/5005] Time 0.214 (0.210) Data 0.044 (0.047) Loss 2.4927 (2.2688) Prec@1 47.266 (48.016) Prec@5 68.359 (73.213)
Epoch: [60][4080/5005] Time 0.204 (0.210) Data 0.042 (0.047) Loss 2.1444 (2.2688) Prec@1 48.438 (48.017) Prec@5 75.391 (73.210)
Epoch: [60][4090/5005] Time 0.211 (0.210) Data 0.044 (0.047) Loss 2.3636 (2.2688) Prec@1 43.359 (48.018) Prec@5 71.094 (73.212)
Epoch: [60][4100/5005] Time 0.217 (0.210) Data 0.042 (0.047) Loss 2.1456 (2.2686) Prec@1 50.781 (48.019) Prec@5 74.609 (73.213)
Epoch: [60][4110/5005] Time 0.203 (0.210) Data 0.049 (0.047) Loss 2.2879 (2.2686) Prec@1 48.438 (48.019) Prec@5 76.953 (73.216)
Epoch: [60][4120/5005] Time 0.213 (0.210) Data 0.044 (0.047) Loss 2.3994 (2.2685) Prec@1 44.922 (48.019) Prec@5 69.141 (73.216)
Epoch: [60][4130/5005] Time 0.213 (0.210) Data 0.042 (0.047) Loss 2.4738 (2.2685) Prec@1 43.359 (48.020) Prec@5 68.359 (73.217)
Epoch: [60][4140/5005] Time 0.215 (0.210) Data 0.046 (0.047) Loss 2.4144 (2.2686) Prec@1 48.047 (48.020) Prec@5 68.359 (73.216)
Epoch: [60][4150/5005] Time 0.214 (0.210) Data 0.044 (0.047) Loss 2.4128 (2.2686) Prec@1 48.047 (48.021) Prec@5 71.484 (73.215)
Epoch: [60][4160/5005] Time 0.213 (0.210) Data 0.043 (0.047) Loss 2.1892 (2.2686) Prec@1 46.094 (48.020) Prec@5 77.344 (73.218)
Epoch: [60][4170/5005] Time 0.212 (0.210) Data 0.044 (0.047) Loss 2.1573 (2.2684) Prec@1 48.828 (48.025) Prec@5 75.000 (73.220)
Epoch: [60][4180/5005] Time 0.208 (0.210) Data 0.062 (0.047) Loss 2.1499 (2.2683) Prec@1 50.391 (48.027) Prec@5 75.391 (73.223)
Epoch: [60][4190/5005] Time 0.207 (0.210) Data 0.050 (0.047) Loss 2.1191 (2.2683) Prec@1 52.344 (48.029) Prec@5 74.219 (73.223)
Epoch: [60][4200/5005] Time 0.205 (0.210) Data 0.047 (0.047) Loss 2.1520 (2.2682) Prec@1 48.828 (48.030) Prec@5 75.781 (73.225)
Epoch: [60][4210/5005] Time 0.204 (0.210) Data 0.050 (0.047) Loss 2.0930 (2.2681) Prec@1 50.781 (48.032) Prec@5 77.734 (73.227)
Epoch: [60][4220/5005] Time 0.200 (0.210) Data 0.063 (0.047) Loss 2.3709 (2.2683) Prec@1 47.656 (48.028) Prec@5 72.656 (73.226)
Epoch: [60][4230/5005] Time 0.213 (0.210) Data 0.047 (0.047) Loss 2.2258 (2.2683) Prec@1 50.000 (48.028) Prec@5 73.047 (73.226)
Epoch: [60][4240/5005] Time 0.211 (0.210) Data 0.046 (0.047) Loss 2.1031 (2.2683) Prec@1 53.125 (48.026) Prec@5 77.344 (73.227)
Epoch: [60][4250/5005] Time 0.200 (0.210) Data 0.045 (0.047) Loss 2.2186 (2.2682) Prec@1 53.125 (48.029) Prec@5 72.266 (73.228)
Epoch: [60][4260/5005] Time 0.211 (0.210) Data 0.050 (0.047) Loss 2.3364 (2.2682) Prec@1 48.828 (48.031) Prec@5 71.875 (73.226)
Epoch: [60][4270/5005] Time 0.212 (0.210) Data 0.045 (0.047) Loss 2.3643 (2.2683) Prec@1 50.781 (48.033) Prec@5 72.656 (73.225)
Epoch: [60][4280/5005] Time 0.202 (0.210) Data 0.044 (0.047) Loss 2.4202 (2.2683) Prec@1 44.531 (48.033) Prec@5 72.656 (73.226)
Epoch: [60][4290/5005] Time 0.206 (0.210) Data 0.047 (0.047) Loss 2.4819 (2.2682) Prec@1 50.000 (48.036) Prec@5 67.969 (73.226)
Epoch: [60][4300/5005] Time 0.205 (0.210) Data 0.044 (0.047) Loss 2.0541 (2.2679) Prec@1 49.609 (48.039) Prec@5 77.734 (73.231)
Epoch: [60][4310/5005] Time 0.215 (0.210) Data 0.045 (0.047) Loss 2.0633 (2.2679) Prec@1 50.781 (48.038) Prec@5 80.078 (73.235)
Epoch: [60][4320/5005] Time 0.202 (0.210) Data 0.053 (0.047) Loss 2.1372 (2.2679) Prec@1 53.906 (48.039) Prec@5 76.953 (73.235)
Epoch: [60][4330/5005] Time 0.215 (0.210) Data 0.046 (0.047) Loss 2.1171 (2.2679) Prec@1 53.125 (48.039) Prec@5 75.781 (73.234)
Epoch: [60][4340/5005] Time 0.212 (0.210) Data 0.044 (0.047) Loss 2.3371 (2.2680) Prec@1 46.875 (48.036) Prec@5 72.656 (73.234)
Epoch: [60][4350/5005] Time 0.214 (0.210) Data 0.043 (0.047) Loss 2.2976 (2.2679) Prec@1 46.875 (48.037) Prec@5 71.484 (73.236)
Epoch: [60][4360/5005] Time 0.210 (0.210) Data 0.043 (0.047) Loss 2.0486 (2.2677) Prec@1 49.219 (48.040) Prec@5 79.688 (73.239)
Epoch: [60][4370/5005] Time 0.208 (0.210) Data 0.044 (0.047) Loss 2.1133 (2.2677) Prec@1 49.219 (48.041) Prec@5 75.000 (73.239)
Epoch: [60][4380/5005] Time 0.210 (0.210) Data 0.043 (0.047) Loss 2.3691 (2.2677) Prec@1 45.312 (48.042) Prec@5 71.875 (73.242)
Epoch: [60][4390/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.3611 (2.2675) Prec@1 46.484 (48.046) Prec@5 70.703 (73.246)
Epoch: [60][4400/5005] Time 0.207 (0.210) Data 0.045 (0.047) Loss 2.2625 (2.2674) Prec@1 48.438 (48.048) Prec@5 73.047 (73.248)
Epoch: [60][4410/5005] Time 0.206 (0.210) Data 0.041 (0.047) Loss 2.2910 (2.2674) Prec@1 44.922 (48.048) Prec@5 71.484 (73.248)
Epoch: [60][4420/5005] Time 0.196 (0.210) Data 0.055 (0.047) Loss 1.9624 (2.2673) Prec@1 52.734 (48.048) Prec@5 77.344 (73.249)
Epoch: [60][4430/5005] Time 0.206 (0.210) Data 0.043 (0.047) Loss 2.3643 (2.2671) Prec@1 42.969 (48.051) Prec@5 69.531 (73.250)
Epoch: [60][4440/5005] Time 0.211 (0.210) Data 0.044 (0.047) Loss 2.2833 (2.2671) Prec@1 47.266 (48.052) Prec@5 74.219 (73.251)
Epoch: [60][4450/5005] Time 0.211 (0.210) Data 0.044 (0.047) Loss 2.1341 (2.2672) Prec@1 49.609 (48.052) Prec@5 75.391 (73.249)
Epoch: [60][4460/5005] Time 0.206 (0.210) Data 0.043 (0.047) Loss 2.3191 (2.2670) Prec@1 44.141 (48.057) Prec@5 73.047 (73.252)
Epoch: [60][4470/5005] Time 0.204 (0.210) Data 0.054 (0.047) Loss 2.0966 (2.2670) Prec@1 47.266 (48.056) Prec@5 76.172 (73.251)
Epoch: [60][4480/5005] Time 0.215 (0.210) Data 0.045 (0.047) Loss 2.0931 (2.2672) Prec@1 52.734 (48.053) Prec@5 75.391 (73.247)
Epoch: [60][4490/5005] Time 0.205 (0.210) Data 0.050 (0.047) Loss 2.2474 (2.2673) Prec@1 44.922 (48.049) Prec@5 71.875 (73.244)
Epoch: [60][4500/5005] Time 0.209 (0.210) Data 0.044 (0.047) Loss 2.1428 (2.2673) Prec@1 46.484 (48.053) Prec@5 75.781 (73.244)
Epoch: [60][4510/5005] Time 0.204 (0.210) Data 0.043 (0.047) Loss 2.0861 (2.2673) Prec@1 51.172 (48.054) Prec@5 75.000 (73.241)
Epoch: [60][4520/5005] Time 0.202 (0.210) Data 0.053 (0.047) Loss 2.0964 (2.2671) Prec@1 51.562 (48.057) Prec@5 78.906 (73.244)
Epoch: [60][4530/5005] Time 0.214 (0.210) Data 0.047 (0.047) Loss 2.1228 (2.2671) Prec@1 50.391 (48.057) Prec@5 78.125 (73.245)
Epoch: [60][4540/5005] Time 0.201 (0.210) Data 0.045 (0.047) Loss 2.2560 (2.2672) Prec@1 50.000 (48.056) Prec@5 71.875 (73.242)
Epoch: [60][4550/5005] Time 0.199 (0.210) Data 0.045 (0.047) Loss 2.3018 (2.2670) Prec@1 49.219 (48.059) Prec@5 72.656 (73.245)
Epoch: [60][4560/5005] Time 0.213 (0.210) Data 0.045 (0.047) Loss 2.2502 (2.2669) Prec@1 49.219 (48.063) Prec@5 73.828 (73.248)
Epoch: [60][4570/5005] Time 0.206 (0.210) Data 0.047 (0.047) Loss 2.2620 (2.2669) Prec@1 50.781 (48.065) Prec@5 71.484 (73.249)
Epoch: [60][4580/5005] Time 0.205 (0.210) Data 0.047 (0.047) Loss 2.3313 (2.2668) Prec@1 42.578 (48.065) Prec@5 74.609 (73.250)
Epoch: [60][4590/5005] Time 0.199 (0.210) Data 0.059 (0.047) Loss 2.0635 (2.2668) Prec@1 53.125 (48.066) Prec@5 78.516 (73.249)
Epoch: [60][4600/5005] Time 0.214 (0.210) Data 0.044 (0.047) Loss 1.9804 (2.2668) Prec@1 53.125 (48.064) Prec@5 76.562 (73.248)
Epoch: [60][4610/5005] Time 0.207 (0.210) Data 0.046 (0.047) Loss 1.9669 (2.2668) Prec@1 51.172 (48.064) Prec@5 79.297 (73.247)
Epoch: [60][4620/5005] Time 0.201 (0.210) Data 0.061 (0.047) Loss 2.2641 (2.2667) Prec@1 48.828 (48.066) Prec@5 72.266 (73.247)
Epoch: [60][4630/5005] Time 0.202 (0.210) Data 0.048 (0.047) Loss 2.1810 (2.2665) Prec@1 50.000 (48.071) Prec@5 77.734 (73.251)
Epoch: [60][4640/5005] Time 0.214 (0.210) Data 0.042 (0.047) Loss 2.2980 (2.2664) Prec@1 48.438 (48.072) Prec@5 71.875 (73.252)
Epoch: [60][4650/5005] Time 0.208 (0.210) Data 0.042 (0.047) Loss 2.2607 (2.2664) Prec@1 47.656 (48.071) Prec@5 73.828 (73.252)
Epoch: [60][4660/5005] Time 0.207 (0.210) Data 0.056 (0.047) Loss 2.3747 (2.2663) Prec@1 45.703 (48.070) Prec@5 71.094 (73.255)
Epoch: [60][4670/5005] Time 0.203 (0.210) Data 0.045 (0.047) Loss 2.1685 (2.2661) Prec@1 47.266 (48.072) Prec@5 73.828 (73.258)
Epoch: [60][4680/5005] Time 0.210 (0.210) Data 0.041 (0.047) Loss 2.1296 (2.2660) Prec@1 50.781 (48.075) Prec@5 77.344 (73.260)
Epoch: [60][4690/5005] Time 0.207 (0.210) Data 0.055 (0.047) Loss 2.2023 (2.2660) Prec@1 46.094 (48.073) Prec@5 75.000 (73.261)
Epoch: [60][4700/5005] Time 0.207 (0.210) Data 0.056 (0.047) Loss 2.1983 (2.2660) Prec@1 53.125 (48.075) Prec@5 73.438 (73.261)
Epoch: [60][4710/5005] Time 0.212 (0.210) Data 0.041 (0.047) Loss 2.0479 (2.2658) Prec@1 56.641 (48.078) Prec@5 77.734 (73.264)
Epoch: [60][4720/5005] Time 0.217 (0.210) Data 0.047 (0.047) Loss 2.1522 (2.2658) Prec@1 52.344 (48.079) Prec@5 75.391 (73.264)
Epoch: [60][4730/5005] Time 0.210 (0.210) Data 0.040 (0.047) Loss 2.2291 (2.2658) Prec@1 49.219 (48.076) Prec@5 73.438 (73.262)
Epoch: [60][4740/5005] Time 0.207 (0.210) Data 0.042 (0.047) Loss 2.2429 (2.2657) Prec@1 46.875 (48.078) Prec@5 75.000 (73.264)
Epoch: [60][4750/5005] Time 0.209 (0.210) Data 0.044 (0.047) Loss 2.1593 (2.2656) Prec@1 52.734 (48.080) Prec@5 72.656 (73.265)
Epoch: [60][4760/5005] Time 0.197 (0.210) Data 0.044 (0.047) Loss 2.5371 (2.2655) Prec@1 43.750 (48.084) Prec@5 70.312 (73.266)
Epoch: [60][4770/5005] Time 0.211 (0.210) Data 0.044 (0.047) Loss 2.0554 (2.2655) Prec@1 52.344 (48.084) Prec@5 76.562 (73.268)
Epoch: [60][4780/5005] Time 0.206 (0.210) Data 0.044 (0.047) Loss 2.3186 (2.2654) Prec@1 48.047 (48.085) Prec@5 71.875 (73.270)
Epoch: [60][4790/5005] Time 0.207 (0.210) Data 0.045 (0.047) Loss 2.5516 (2.2655) Prec@1 42.969 (48.086) Prec@5 67.578 (73.269)
Epoch: [60][4800/5005] Time 0.210 (0.210) Data 0.042 (0.047) Loss 2.3794 (2.2655) Prec@1 47.656 (48.086) Prec@5 69.141 (73.272)
Epoch: [60][4810/5005] Time 0.217 (0.210) Data 0.047 (0.047) Loss 2.4479 (2.2654) Prec@1 44.922 (48.088) Prec@5 71.484 (73.273)
Epoch: [60][4820/5005] Time 0.215 (0.210) Data 0.048 (0.047) Loss 2.4581 (2.2652) Prec@1 42.969 (48.091) Prec@5 70.703 (73.277)
Epoch: [60][4830/5005] Time 0.201 (0.210) Data 0.066 (0.047) Loss 2.1761 (2.2651) Prec@1 50.781 (48.096) Prec@5 73.438 (73.277)
Epoch: [60][4840/5005] Time 0.194 (0.210) Data 0.059 (0.047) Loss 1.9796 (2.2652) Prec@1 52.734 (48.095) Prec@5 76.953 (73.276)
Epoch: [60][4850/5005] Time 0.205 (0.210) Data 0.042 (0.047) Loss 2.3164 (2.2653) Prec@1 48.828 (48.092) Prec@5 74.219 (73.273)
Epoch: [60][4860/5005] Time 0.209 (0.210) Data 0.068 (0.047) Loss 2.1863 (2.2652) Prec@1 48.828 (48.093) Prec@5 74.219 (73.272)
Epoch: [60][4870/5005] Time 0.210 (0.210) Data 0.064 (0.047) Loss 2.1621 (2.2653) Prec@1 54.688 (48.097) Prec@5 73.438 (73.271)
Epoch: [60][4880/5005] Time 0.200 (0.210) Data 0.045 (0.047) Loss 2.2153 (2.2651) Prec@1 50.000 (48.099) Prec@5 73.047 (73.273)
Epoch: [60][4890/5005] Time 0.193 (0.210) Data 0.050 (0.047) Loss 2.2772 (2.2651) Prec@1 46.875 (48.098) Prec@5 71.875 (73.273)
Epoch: [60][4900/5005] Time 0.200 (0.210) Data 0.042 (0.047) Loss 2.1040 (2.2650) Prec@1 51.562 (48.099) Prec@5 75.391 (73.276)
Epoch: [60][4910/5005] Time 0.205 (0.210) Data 0.061 (0.047) Loss 2.3565 (2.2649) Prec@1 47.266 (48.100) Prec@5 72.656 (73.280)
Epoch: [60][4920/5005] Time 0.204 (0.210) Data 0.050 (0.047) Loss 2.2060 (2.2649) Prec@1 46.484 (48.101) Prec@5 74.219 (73.280)
Epoch: [60][4930/5005] Time 0.206 (0.210) Data 0.044 (0.047) Loss 2.4072 (2.2648) Prec@1 48.828 (48.101) Prec@5 69.531 (73.283)
Epoch: [60][4940/5005] Time 0.200 (0.210) Data 0.043 (0.047) Loss 2.3230 (2.2649) Prec@1 46.875 (48.101) Prec@5 69.531 (73.280)
Epoch: [60][4950/5005] Time 0.208 (0.210) Data 0.048 (0.047) Loss 1.9389 (2.2649) Prec@1 54.297 (48.101) Prec@5 76.172 (73.280)
Epoch: [60][4960/5005] Time 0.201 (0.210) Data 0.052 (0.047) Loss 2.3369 (2.2648) Prec@1 50.391 (48.104) Prec@5 73.828 (73.283)
Epoch: [60][4970/5005] Time 0.220 (0.210) Data 0.045 (0.047) Loss 2.3478 (2.2648) Prec@1 44.922 (48.103) Prec@5 72.266 (73.285)
Epoch: [60][4980/5005] Time 0.212 (0.210) Data 0.046 (0.047) Loss 2.1795 (2.2646) Prec@1 49.609 (48.104) Prec@5 75.781 (73.288)
Epoch: [60][4990/5005] Time 0.205 (0.210) Data 0.023 (0.047) Loss 2.4594 (2.2646) Prec@1 43.750 (48.107) Prec@5 70.312 (73.289)
Epoch: [60][5000/5005] Time 0.205 (0.210) Data 0.021 (0.047) Loss 2.2911 (2.2645) Prec@1 50.391 (48.109) Prec@5 72.266 (73.289)
Test: [0/196] Time 1.367 (1.367) Loss 2.3584 (2.3584) Prec@1 50.391 (50.391) Prec@5 70.312 (70.312)
Test: [10/196] Time 0.046 (0.278) Loss 2.4556 (2.5570) Prec@1 45.703 (43.714) Prec@5 70.312 (69.034)
Test: [20/196] Time 0.042 (0.219) Loss 2.4317 (2.5598) Prec@1 47.656 (43.713) Prec@5 74.609 (69.382)
Test: [30/196] Time 0.049 (0.228) Loss 2.4809 (2.5653) Prec@1 43.359 (43.637) Prec@5 70.312 (69.355)
Test: [40/196] Time 0.042 (0.204) Loss 2.3167 (2.5620) Prec@1 50.781 (43.817) Prec@5 73.828 (69.369)
Test: [50/196] Time 0.042 (0.193) Loss 2.6206 (2.5650) Prec@1 45.703 (43.941) Prec@5 71.484 (69.478)
Test: [60/196] Time 0.049 (0.186) Loss 2.4525 (2.5505) Prec@1 47.266 (44.282) Prec@5 69.531 (69.480)
Test: [70/196] Time 0.508 (0.188) Loss 2.4758 (2.5459) Prec@1 44.141 (44.212) Prec@5 69.531 (69.432)
Test: [80/196] Time 0.139 (0.186) Loss 2.3814 (2.5482) Prec@1 53.906 (44.223) Prec@5 75.000 (69.459)
Test: [90/196] Time 0.313 (0.183) Loss 2.6562 (2.5502) Prec@1 46.094 (44.244) Prec@5 66.016 (69.441)
Test: [100/196] Time 0.044 (0.181) Loss 2.5963 (2.5473) Prec@1 44.922 (44.431) Prec@5 65.625 (69.435)
Test: [110/196] Time 0.044 (0.179) Loss 2.7628 (2.5484) Prec@1 41.016 (44.542) Prec@5 65.234 (69.478)
Test: [120/196] Time 0.042 (0.182) Loss 2.3862 (2.5449) Prec@1 45.703 (44.599) Prec@5 73.047 (69.570)
Test: [130/196] Time 0.044 (0.179) Loss 2.2258 (2.5412) Prec@1 48.047 (44.695) Prec@5 76.562 (69.651)
Test: [140/196] Time 0.422 (0.182) Loss 2.3597 (2.5437) Prec@1 49.609 (44.639) Prec@5 71.094 (69.573)
Test: [150/196] Time 0.049 (0.180) Loss 2.2058 (2.5428) Prec@1 51.172 (44.648) Prec@5 78.516 (69.650)
Test: [160/196] Time 0.044 (0.178) Loss 2.4576 (2.5411) Prec@1 48.828 (44.696) Prec@5 69.922 (69.665)
Test: [170/196] Time 0.044 (0.178) Loss 2.4481 (2.5431) Prec@1 44.141 (44.659) Prec@5 74.219 (69.671)
Test: [180/196] Time 0.783 (0.182) Loss 2.7265 (2.5480) Prec@1 41.016 (44.557) Prec@5 67.188 (69.570)
Test: [190/196] Time 0.211 (0.180) Loss 2.7591 (2.5515) Prec@1 41.797 (44.511) Prec@5 66.797 (69.472)
* Prec@1 44.532 Prec@5 69.498
Learning rate: 1e-05
Epoch: [61][0/5005] Time 1.054 (1.054) Data 0.938 (0.938) Loss 2.1970 (2.1970) Prec@1 50.000 (50.000) Prec@5 73.438 (73.438)
Epoch: [61][10/5005] Time 0.197 (0.277) Data 0.042 (0.131) Loss 2.0994 (2.2518) Prec@1 51.953 (48.402) Prec@5 76.562 (73.118)
Epoch: [61][20/5005] Time 0.209 (0.242) Data 0.044 (0.091) Loss 2.4037 (2.2699) Prec@1 43.750 (47.693) Prec@5 75.391 (72.786)
Epoch: [61][30/5005] Time 0.209 (0.230) Data 0.044 (0.076) Loss 2.2068 (2.2570) Prec@1 49.219 (47.971) Prec@5 75.000 (72.996)
Epoch: [61][40/5005] Time 0.207 (0.224) Data 0.043 (0.069) Loss 2.2068 (2.2653) Prec@1 49.219 (47.780) Prec@5 76.172 (73.171)
Epoch: [61][50/5005] Time 0.206 (0.220) Data 0.041 (0.065) Loss 2.1386 (2.2613) Prec@1 47.266 (47.741) Prec@5 78.125 (73.300)
Epoch: [61][60/5005] Time 0.203 (0.217) Data 0.042 (0.062) Loss 2.3104 (2.2702) Prec@1 49.219 (47.765) Prec@5 74.609 (73.117)
Epoch: [61][70/5005] Time 0.211 (0.215) Data 0.043 (0.059) Loss 2.2842 (2.2812) Prec@1 48.047 (47.585) Prec@5 73.438 (73.025)
Epoch: [61][80/5005] Time 0.203 (0.214) Data 0.047 (0.058) Loss 2.2440 (2.2735) Prec@1 51.172 (47.777) Prec@5 73.047 (73.143)
Epoch: [61][90/5005] Time 0.201 (0.212) Data 0.044 (0.056) Loss 2.2711 (2.2722) Prec@1 45.703 (47.789) Prec@5 75.391 (73.180)
Epoch: [61][100/5005] Time 0.191 (0.211) Data 0.051 (0.056) Loss 2.1120 (2.2748) Prec@1 47.656 (47.734) Prec@5 75.781 (73.101)
Epoch: [61][110/5005] Time 0.199 (0.210) Data 0.047 (0.055) Loss 2.3302 (2.2777) Prec@1 50.000 (47.832) Prec@5 71.875 (73.079)
Epoch: [61][120/5005] Time 0.193 (0.209) Data 0.046 (0.055) Loss 2.3246 (2.2772) Prec@1 47.656 (47.885) Prec@5 69.141 (73.057)
Epoch: [61][130/5005] Time 0.196 (0.208) Data 0.060 (0.055) Loss 2.4256 (2.2761) Prec@1 46.484 (47.907) Prec@5 72.266 (73.098)
Epoch: [61][140/5005] Time 0.197 (0.208) Data 0.062 (0.055) Loss 2.3516 (2.2743) Prec@1 47.656 (47.925) Prec@5 69.531 (73.166)
Epoch: [61][150/5005] Time 0.206 (0.208) Data 0.064 (0.055) Loss 2.4489 (2.2755) Prec@1 41.016 (47.912) Prec@5 69.141 (73.179)
Epoch: [61][160/5005] Time 0.208 (0.207) Data 0.046 (0.054) Loss 2.3008 (2.2773) Prec@1 49.219 (47.858) Prec@5 73.047 (73.151)
Epoch: [61][170/5005] Time 0.220 (0.208) Data 0.043 (0.054) Loss 2.3393 (2.2782) Prec@1 47.266 (47.841) Prec@5 72.266 (73.109)
Epoch: [61][180/5005] Time 0.234 (0.209) Data 0.048 (0.053) Loss 2.4311 (2.2803) Prec@1 42.578 (47.822) Prec@5 69.531 (73.004)
Epoch: [61][190/5005] Time 0.218 (0.209) Data 0.060 (0.053) Loss 2.3999 (2.2836) Prec@1 44.922 (47.716) Prec@5 69.922 (72.957)
Epoch: [61][200/5005] Time 0.225 (0.210) Data 0.043 (0.053) Loss 2.4891 (2.2841) Prec@1 42.188 (47.707) Prec@5 68.750 (72.942)
Epoch: [61][210/5005] Time 0.217 (0.210) Data 0.045 (0.052) Loss 2.1144 (2.2835) Prec@1 51.562 (47.715) Prec@5 75.000 (72.943)
Epoch: [61][220/5005] Time 0.219 (0.211) Data 0.042 (0.052) Loss 2.3400 (2.2833) Prec@1 46.875 (47.725) Prec@5 71.094 (72.911)
Epoch: [61][230/5005] Time 0.215 (0.211) Data 0.042 (0.052) Loss 2.3307 (2.2841) Prec@1 48.828 (47.770) Prec@5 71.094 (72.890)
Epoch: [61][240/5005] Time 0.221 (0.211) Data 0.063 (0.052) Loss 2.1836 (2.2821) Prec@1 51.953 (47.818) Prec@5 74.219 (72.917)
Epoch: [61][250/5005] Time 0.216 (0.212) Data 0.064 (0.052) Loss 2.2872 (2.2791) Prec@1 46.094 (47.879) Prec@5 74.219 (73.016)
Epoch: [61][260/5005] Time 0.219 (0.212) Data 0.046 (0.052) Loss 2.1114 (2.2792) Prec@1 51.172 (47.881) Prec@5 76.562 (73.014)
Epoch: [61][270/5005] Time 0.207 (0.212) Data 0.057 (0.052) Loss 2.3116 (2.2796) Prec@1 48.047 (47.857) Prec@5 73.438 (73.022)
Epoch: [61][280/5005] Time 0.227 (0.212) Data 0.044 (0.052) Loss 2.6465 (2.2832) Prec@1 39.844 (47.776) Prec@5 64.062 (72.951)
Epoch: [61][290/5005] Time 0.214 (0.212) Data 0.051 (0.051) Loss 2.1573 (2.2854) Prec@1 49.609 (47.713) Prec@5 73.047 (72.923)
Epoch: [61][300/5005] Time 0.218 (0.213) Data 0.043 (0.051) Loss 2.0924 (2.2843) Prec@1 52.344 (47.728) Prec@5 75.000 (72.920)
Epoch: [61][310/5005] Time 0.212 (0.213) Data 0.048 (0.051) Loss 2.1238 (2.2809) Prec@1 47.656 (47.786) Prec@5 75.391 (72.974)
Epoch: [61][320/5005] Time 0.215 (0.213) Data 0.048 (0.051) Loss 2.4662 (2.2810) Prec@1 44.922 (47.795) Prec@5 71.484 (72.990)
Epoch: [61][330/5005] Time 0.212 (0.213) Data 0.053 (0.051) Loss 2.0192 (2.2792) Prec@1 51.953 (47.845) Prec@5 76.172 (73.009)
Epoch: [61][340/5005] Time 0.217 (0.213) Data 0.043 (0.051) Loss 2.4369 (2.2834) Prec@1 48.828 (47.806) Prec@5 69.922 (72.925)
Epoch: [61][350/5005] Time 0.217 (0.213) Data 0.044 (0.051) Loss 2.5012 (2.2836) Prec@1 44.922 (47.803) Prec@5 66.406 (72.900)
Epoch: [61][360/5005] Time 0.216 (0.213) Data 0.047 (0.050) Loss 2.3080 (2.2839) Prec@1 48.047 (47.803) Prec@5 73.438 (72.878)
Epoch: [61][370/5005] Time 0.205 (0.213) Data 0.051 (0.051) Loss 2.3089 (2.2836) Prec@1 47.656 (47.786) Prec@5 73.047 (72.886)
Epoch: [61][380/5005] Time 0.217 (0.213) Data 0.049 (0.051) Loss 2.3933 (2.2835) Prec@1 46.094 (47.797) Prec@5 66.406 (72.890)
Epoch: [61][390/5005] Time 0.214 (0.213) Data 0.050 (0.051) Loss 2.2797 (2.2829) Prec@1 49.219 (47.816) Prec@5 71.484 (72.906)
Epoch: [61][400/5005] Time 0.220 (0.213) Data 0.069 (0.051) Loss 2.0423 (2.2818) Prec@1 49.609 (47.826) Prec@5 78.125 (72.935)
Epoch: [61][410/5005] Time 0.212 (0.213) Data 0.046 (0.051) Loss 2.1037 (2.2817) Prec@1 50.000 (47.814) Prec@5 76.562 (72.955)
Epoch: [61][420/5005] Time 0.208 (0.214) Data 0.046 (0.051) Loss 2.2575 (2.2813) Prec@1 48.438 (47.821) Prec@5 73.438 (72.974)
Epoch: [61][430/5005] Time 0.217 (0.214) Data 0.043 (0.051) Loss 2.1369 (2.2808) Prec@1 52.344 (47.854) Prec@5 78.125 (72.969)
Epoch: [61][440/5005] Time 0.218 (0.214) Data 0.044 (0.051) Loss 2.3133 (2.2810) Prec@1 50.000 (47.847) Prec@5 73.438 (72.982)
Epoch: [61][450/5005] Time 0.220 (0.214) Data 0.045 (0.051) Loss 2.2189 (2.2811) Prec@1 42.969 (47.825) Prec@5 76.953 (72.985)
Epoch: [61][460/5005] Time 0.219 (0.214) Data 0.042 (0.051) Loss 2.3013 (2.2815) Prec@1 45.312 (47.811) Prec@5 70.703 (73.000)
Epoch: [61][470/5005] Time 0.211 (0.214) Data 0.042 (0.051) Loss 2.1946 (2.2823) Prec@1 47.266 (47.800) Prec@5 73.047 (72.966)
Epoch: [61][480/5005] Time 0.214 (0.214) Data 0.042 (0.050) Loss 2.2488 (2.2829) Prec@1 49.609 (47.793) Prec@5 73.828 (72.957)
Epoch: [61][490/5005] Time 0.219 (0.214) Data 0.040 (0.050) Loss 2.3025 (2.2833) Prec@1 47.266 (47.770) Prec@5 73.828 (72.960)
Epoch: [61][500/5005] Time 0.213 (0.214) Data 0.042 (0.050) Loss 2.5409 (2.2853) Prec@1 47.266 (47.754) Prec@5 65.625 (72.927)
Epoch: [61][510/5005] Time 0.209 (0.214) Data 0.043 (0.050) Loss 2.6907 (2.2862) Prec@1 41.406 (47.750) Prec@5 62.891 (72.905)
Epoch: [61][520/5005] Time 0.217 (0.214) Data 0.043 (0.050) Loss 2.3224 (2.2859) Prec@1 44.141 (47.748) Prec@5 71.094 (72.922)
Epoch: [61][530/5005] Time 0.214 (0.214) Data 0.044 (0.050) Loss 2.2744 (2.2859) Prec@1 49.609 (47.739) Prec@5 71.875 (72.923)
Epoch: [61][540/5005] Time 0.213 (0.214) Data 0.043 (0.050) Loss 2.4489 (2.2867) Prec@1 43.750 (47.729) Prec@5 69.922 (72.912)
Epoch: [61][550/5005] Time 0.213 (0.214) Data 0.042 (0.050) Loss 2.2799 (2.2860) Prec@1 46.094 (47.729) Prec@5 74.609 (72.934)
Epoch: [61][560/5005] Time 0.218 (0.214) Data 0.043 (0.050) Loss 2.3350 (2.2858) Prec@1 46.875 (47.734) Prec@5 75.000 (72.939)
Epoch: [61][570/5005] Time 0.218 (0.214) Data 0.042 (0.049) Loss 2.3596 (2.2869) Prec@1 46.484 (47.714) Prec@5 70.703 (72.921)
Epoch: [61][580/5005] Time 0.212 (0.214) Data 0.042 (0.049) Loss 2.3177 (2.2864) Prec@1 44.922 (47.709) Prec@5 73.438 (72.942)
Epoch: [61][590/5005] Time 0.220 (0.214) Data 0.046 (0.049) Loss 2.4099 (2.2873) Prec@1 44.531 (47.700) Prec@5 74.219 (72.915)
Epoch: [61][600/5005] Time 0.216 (0.214) Data 0.045 (0.049) Loss 2.2572 (2.2881) Prec@1 51.172 (47.702) Prec@5 73.828 (72.895)
Epoch: [61][610/5005] Time 0.208 (0.214) Data 0.042 (0.049) Loss 2.3587 (2.2885) Prec@1 45.312 (47.709) Prec@5 73.438 (72.893)
Epoch: [61][620/5005] Time 0.217 (0.214) Data 0.044 (0.049) Loss 2.2688 (2.2884) Prec@1 51.953 (47.725) Prec@5 72.266 (72.890)
Epoch: [61][630/5005] Time 0.216 (0.214) Data 0.044 (0.049) Loss 2.4201 (2.2885) Prec@1 44.922 (47.733) Prec@5 71.875 (72.885)
Epoch: [61][640/5005] Time 0.216 (0.214) Data 0.046 (0.049) Loss 2.0893 (2.2878) Prec@1 47.656 (47.735) Prec@5 76.172 (72.895)
Epoch: [61][650/5005] Time 0.212 (0.214) Data 0.059 (0.049) Loss 2.2946 (2.2883) Prec@1 45.312 (47.719) Prec@5 71.484 (72.878)
Epoch: [61][660/5005] Time 0.207 (0.214) Data 0.058 (0.049) Loss 2.4736 (2.2878) Prec@1 45.312 (47.722) Prec@5 70.703 (72.891)
Epoch: [61][670/5005] Time 0.206 (0.214) Data 0.047 (0.049) Loss 2.5024 (2.2870) Prec@1 44.922 (47.737) Prec@5 68.359 (72.908)
Epoch: [61][680/5005] Time 0.207 (0.214) Data 0.056 (0.049) Loss 2.2987 (2.2870) Prec@1 47.266 (47.743) Prec@5 74.609 (72.903)
Epoch: [61][690/5005] Time 0.211 (0.214) Data 0.041 (0.049) Loss 2.1949 (2.2865) Prec@1 50.000 (47.745) Prec@5 78.516 (72.914)
Epoch: [61][700/5005] Time 0.206 (0.214) Data 0.043 (0.049) Loss 2.3760 (2.2860) Prec@1 44.141 (47.748) Prec@5 71.094 (72.918)
Epoch: [61][710/5005] Time 0.214 (0.214) Data 0.042 (0.049) Loss 2.0697 (2.2856) Prec@1 50.781 (47.762) Prec@5 78.125 (72.913)
Epoch: [61][720/5005] Time 0.212 (0.214) Data 0.040 (0.049) Loss 2.1730 (2.2851) Prec@1 49.219 (47.775) Prec@5 77.344 (72.922)
Epoch: [61][730/5005] Time 0.220 (0.214) Data 0.046 (0.049) Loss 2.3904 (2.2852) Prec@1 44.922 (47.771) Prec@5 71.875 (72.914)
Epoch: [61][740/5005] Time 0.203 (0.214) Data 0.044 (0.049) Loss 2.3867 (2.2851) Prec@1 46.875 (47.785) Prec@5 72.266 (72.911)
Epoch: [61][750/5005] Time 0.216 (0.214) Data 0.043 (0.049) Loss 2.1372 (2.2849) Prec@1 52.734 (47.785) Prec@5 72.266 (72.916)
Epoch: [61][760/5005] Time 0.216 (0.214) Data 0.043 (0.049) Loss 2.2996 (2.2851) Prec@1 48.828 (47.772) Prec@5 73.047 (72.914)
Epoch: [61][770/5005] Time 0.216 (0.214) Data 0.043 (0.049) Loss 2.2099 (2.2839) Prec@1 48.047 (47.790) Prec@5 73.828 (72.938)
Epoch: [61][780/5005] Time 0.209 (0.214) Data 0.042 (0.049) Loss 2.2603 (2.2834) Prec@1 48.438 (47.795) Prec@5 73.828 (72.949)
Epoch: [61][790/5005] Time 0.217 (0.214) Data 0.042 (0.049) Loss 2.2455 (2.2826) Prec@1 46.875 (47.800) Prec@5 76.562 (72.968)
Epoch: [61][800/5005] Time 0.210 (0.214) Data 0.042 (0.049) Loss 2.1306 (2.2815) Prec@1 49.219 (47.816) Prec@5 77.734 (72.980)
Epoch: [61][810/5005] Time 0.209 (0.214) Data 0.039 (0.049) Loss 2.3961 (2.2816) Prec@1 40.234 (47.806) Prec@5 72.266 (72.978)
Epoch: [61][820/5005] Time 0.213 (0.214) Data 0.044 (0.049) Loss 2.2926 (2.2821) Prec@1 47.266 (47.791) Prec@5 74.219 (72.969)
Epoch: [61][830/5005] Time 0.212 (0.214) Data 0.048 (0.049) Loss 2.2808 (2.2824) Prec@1 48.047 (47.788) Prec@5 74.219 (72.970)
Epoch: [61][840/5005] Time 0.212 (0.214) Data 0.043 (0.049) Loss 2.1098 (2.2823) Prec@1 50.391 (47.799) Prec@5 73.438 (72.976)
Epoch: [61][850/5005] Time 0.213 (0.214) Data 0.043 (0.048) Loss 2.4675 (2.2818) Prec@1 42.969 (47.792) Prec@5 71.094 (72.987)
Epoch: [61][860/5005] Time 0.217 (0.214) Data 0.049 (0.048) Loss 2.2522 (2.2814) Prec@1 47.266 (47.811) Prec@5 72.266 (72.994)
Epoch: [61][870/5005] Time 0.212 (0.214) Data 0.041 (0.048) Loss 2.2398 (2.2801) Prec@1 47.266 (47.845) Prec@5 75.000 (73.013)
Epoch: [61][880/5005] Time 0.214 (0.214) Data 0.049 (0.048) Loss 2.1968 (2.2803) Prec@1 50.391 (47.840) Prec@5 75.391 (73.007)
Epoch: [61][890/5005] Time 0.220 (0.214) Data 0.049 (0.048) Loss 2.4322 (2.2806) Prec@1 46.094 (47.826) Prec@5 70.312 (73.005)
Epoch: [61][900/5005] Time 0.221 (0.214) Data 0.048 (0.048) Loss 2.2256 (2.2803) Prec@1 44.531 (47.825) Prec@5 74.609 (73.013)
Epoch: [61][910/5005] Time 0.216 (0.214) Data 0.043 (0.048) Loss 2.2807 (2.2803) Prec@1 44.141 (47.809) Prec@5 75.000 (73.016)
Epoch: [61][920/5005] Time 0.212 (0.214) Data 0.043 (0.048) Loss 2.3005 (2.2801) Prec@1 48.047 (47.810) Prec@5 73.438 (73.024)
Epoch: [61][930/5005] Time 0.213 (0.214) Data 0.043 (0.048) Loss 2.2823 (2.2797) Prec@1 48.828 (47.816) Prec@5 70.703 (73.028)
Epoch: [61][940/5005] Time 0.205 (0.214) Data 0.039 (0.048) Loss 2.0969 (2.2800) Prec@1 49.219 (47.809) Prec@5 79.297 (73.025)
Epoch: [61][950/5005] Time 0.215 (0.214) Data 0.045 (0.048) Loss 2.3741 (2.2810) Prec@1 44.922 (47.790) Prec@5 73.828 (73.007)
Epoch: [61][960/5005] Time 0.214 (0.214) Data 0.053 (0.048) Loss 2.3955 (2.2814) Prec@1 50.000 (47.784) Prec@5 69.922 (73.010)
Epoch: [61][970/5005] Time 0.220 (0.214) Data 0.045 (0.048) Loss 2.1328 (2.2813) Prec@1 51.953 (47.795) Prec@5 75.000 (73.013)
Epoch: [61][980/5005] Time 0.204 (0.214) Data 0.046 (0.048) Loss 2.3440 (2.2808) Prec@1 45.703 (47.798) Prec@5 71.875 (73.019)
Epoch: [61][990/5005] Time 0.208 (0.214) Data 0.042 (0.048) Loss 2.4010 (2.2814) Prec@1 45.703 (47.782) Prec@5 69.141 (73.009)
Epoch: [61][1000/5005] Time 0.210 (0.213) Data 0.043 (0.048) Loss 2.1901 (2.2810) Prec@1 53.516 (47.795) Prec@5 73.828 (73.016)
Epoch: [61][1010/5005] Time 0.213 (0.213) Data 0.045 (0.048) Loss 2.2870 (2.2806) Prec@1 45.703 (47.800) Prec@5 71.094 (73.016)
Epoch: [61][1020/5005] Time 0.207 (0.213) Data 0.042 (0.048) Loss 2.1265 (2.2809) Prec@1 57.031 (47.810) Prec@5 78.125 (73.007)
Epoch: [61][1030/5005] Time 0.204 (0.213) Data 0.060 (0.048) Loss 2.2222 (2.2805) Prec@1 43.750 (47.809) Prec@5 73.828 (73.014)
Epoch: [61][1040/5005] Time 0.205 (0.215) Data 0.046 (0.048) Loss 2.4058 (2.2807) Prec@1 43.359 (47.799) Prec@5 72.266 (73.012)
Epoch: [61][1050/5005] Time 0.212 (0.215) Data 0.043 (0.048) Loss 2.4402 (2.2808) Prec@1 44.922 (47.790) Prec@5 72.266 (73.013)
Epoch: [61][1060/5005] Time 0.213 (0.214) Data 0.043 (0.048) Loss 2.4068 (2.2812) Prec@1 46.484 (47.790) Prec@5 71.875 (73.012)
Epoch: [61][1070/5005] Time 0.208 (0.214) Data 0.057 (0.048) Loss 2.2344 (2.2812) Prec@1 46.484 (47.794) Prec@5 74.609 (73.010)
Epoch: [61][1080/5005] Time 0.207 (0.214) Data 0.047 (0.048) Loss 2.3368 (2.2813) Prec@1 48.047 (47.789) Prec@5 72.266 (73.013)
Epoch: [61][1090/5005] Time 0.225 (0.214) Data 0.049 (0.048) Loss 2.2020 (2.2810) Prec@1 49.219 (47.803) Prec@5 75.781 (73.024)
Epoch: [61][1100/5005] Time 0.211 (0.214) Data 0.066 (0.048) Loss 2.1415 (2.2804) Prec@1 50.391 (47.817) Prec@5 76.172 (73.037)
Epoch: [61][1110/5005] Time 0.210 (0.214) Data 0.044 (0.048) Loss 2.1019 (2.2804) Prec@1 47.656 (47.810) Prec@5 77.734 (73.045)
Epoch: [61][1120/5005] Time 0.208 (0.214) Data 0.046 (0.048) Loss 2.2034 (2.2796) Prec@1 49.219 (47.820) Prec@5 72.656 (73.064)
Epoch: [61][1130/5005] Time 0.208 (0.214) Data 0.050 (0.048) Loss 2.4084 (2.2797) Prec@1 44.922 (47.817) Prec@5 70.703 (73.066)
Epoch: [61][1140/5005] Time 0.211 (0.214) Data 0.043 (0.048) Loss 2.3330 (2.2795) Prec@1 46.484 (47.822) Prec@5 69.531 (73.065)
Epoch: [61][1150/5005] Time 0.203 (0.214) Data 0.045 (0.048) Loss 2.2341 (2.2790) Prec@1 48.828 (47.846) Prec@5 71.484 (73.070)
Epoch: [61][1160/5005] Time 0.229 (0.214) Data 0.046 (0.048) Loss 2.2895 (2.2790) Prec@1 46.484 (47.849) Prec@5 71.484 (73.062)
Epoch: [61][1170/5005] Time 0.204 (0.214) Data 0.051 (0.048) Loss 2.2123 (2.2791) Prec@1 48.438 (47.847) Prec@5 73.828 (73.065)
Epoch: [61][1180/5005] Time 0.206 (0.214) Data 0.047 (0.048) Loss 2.2844 (2.2789) Prec@1 47.266 (47.849) Prec@5 71.875 (73.067)
Epoch: [61][1190/5005] Time 0.216 (0.214) Data 0.046 (0.048) Loss 2.2325 (2.2783) Prec@1 50.000 (47.861) Prec@5 72.656 (73.081)
Epoch: [61][1200/5005] Time 0.205 (0.214) Data 0.044 (0.048) Loss 2.4278 (2.2782) Prec@1 48.828 (47.868) Prec@5 71.094 (73.077)
Epoch: [61][1210/5005] Time 0.217 (0.214) Data 0.043 (0.048) Loss 2.2263 (2.2788) Prec@1 47.266 (47.856) Prec@5 76.953 (73.077)
Epoch: [61][1220/5005] Time 0.209 (0.214) Data 0.047 (0.048) Loss 2.2534 (2.2794) Prec@1 47.656 (47.856) Prec@5 74.219 (73.071)
Epoch: [61][1230/5005] Time 0.211 (0.214) Data 0.052 (0.048) Loss 2.3792 (2.2794) Prec@1 47.266 (47.846) Prec@5 70.312 (73.074)
Epoch: [61][1240/5005] Time 0.209 (0.214) Data 0.041 (0.048) Loss 2.4337 (2.2796) Prec@1 44.531 (47.833) Prec@5 70.703 (73.066)
Epoch: [61][1250/5005] Time 0.206 (0.214) Data 0.046 (0.048) Loss 2.6376 (2.2799) Prec@1 41.406 (47.832) Prec@5 66.406 (73.057)
Epoch: [61][1260/5005] Time 0.215 (0.214) Data 0.051 (0.048) Loss 2.0099 (2.2795) Prec@1 52.734 (47.840) Prec@5 74.609 (73.060)
Epoch: [61][1270/5005] Time 0.220 (0.214) Data 0.046 (0.048) Loss 2.3820 (2.2802) Prec@1 49.219 (47.837) Prec@5 72.656 (73.044)
Epoch: [61][1280/5005] Time 0.205 (0.214) Data 0.050 (0.048) Loss 2.3589 (2.2807) Prec@1 46.484 (47.823) Prec@5 72.266 (73.040)
Epoch: [61][1290/5005] Time 0.209 (0.214) Data 0.046 (0.048) Loss 2.0682 (2.2805) Prec@1 53.906 (47.827) Prec@5 74.609 (73.039)
Epoch: [61][1300/5005] Time 0.205 (0.214) Data 0.048 (0.048) Loss 2.1759 (2.2802) Prec@1 50.391 (47.826) Prec@5 75.000 (73.048)
Epoch: [61][1310/5005] Time 0.212 (0.214) Data 0.051 (0.048) Loss 2.2351 (2.2801) Prec@1 48.828 (47.827) Prec@5 72.266 (73.053)
Epoch: [61][1320/5005] Time 0.214 (0.214) Data 0.046 (0.048) Loss 2.3699 (2.2798) Prec@1 47.266 (47.838) Prec@5 71.875 (73.056)
Epoch: [61][1330/5005] Time 0.210 (0.214) Data 0.047 (0.048) Loss 2.4584 (2.2803) Prec@1 43.359 (47.825) Prec@5 71.875 (73.051)
Epoch: [61][1340/5005] Time 0.198 (0.214) Data 0.050 (0.048) Loss 2.1672 (2.2799) Prec@1 50.391 (47.835) Prec@5 76.172 (73.061)
Epoch: [61][1350/5005] Time 0.210 (0.214) Data 0.043 (0.048) Loss 2.7481 (2.2801) Prec@1 38.672 (47.823) Prec@5 69.922 (73.056)
Epoch: [61][1360/5005] Time 0.208 (0.214) Data 0.049 (0.048) Loss 2.0126 (2.2798) Prec@1 53.516 (47.826) Prec@5 75.000 (73.057)
Epoch: [61][1370/5005] Time 0.212 (0.214) Data 0.041 (0.048) Loss 2.2659 (2.2794) Prec@1 48.047 (47.829) Prec@5 72.656 (73.067)
Epoch: [61][1380/5005] Time 0.207 (0.213) Data 0.046 (0.048) Loss 2.3465 (2.2795) Prec@1 43.750 (47.822) Prec@5 73.047 (73.068)
Epoch: [61][1390/5005] Time 0.213 (0.213) Data 0.044 (0.048) Loss 2.1057 (2.2796) Prec@1 53.906 (47.826) Prec@5 77.344 (73.063)
Epoch: [61][1400/5005] Time 0.209 (0.213) Data 0.060 (0.048) Loss 2.2891 (2.2790) Prec@1 49.219 (47.844) Prec@5 73.438 (73.072)
Epoch: [61][1410/5005] Time 0.208 (0.213) Data 0.049 (0.048) Loss 2.2217 (2.2787) Prec@1 48.828 (47.847) Prec@5 77.344 (73.078)
Epoch: [61][1420/5005] Time 0.201 (0.213) Data 0.045 (0.048) Loss 2.4982 (2.2787) Prec@1 44.531 (47.848) Prec@5 70.312 (73.083)
Epoch: [61][1430/5005] Time 0.206 (0.213) Data 0.051 (0.048) Loss 2.0299 (2.2786) Prec@1 50.000 (47.856) Prec@5 76.562 (73.084)
Epoch: [61][1440/5005] Time 0.204 (0.213) Data 0.041 (0.048) Loss 2.0063 (2.2785) Prec@1 55.469 (47.856) Prec@5 76.953 (73.083)
Epoch: [61][1450/5005] Time 0.206 (0.213) Data 0.042 (0.048) Loss 2.2125 (2.2783) Prec@1 54.688 (47.863) Prec@5 73.438 (73.083)
Epoch: [61][1460/5005] Time 0.212 (0.213) Data 0.043 (0.048) Loss 2.3311 (2.2783) Prec@1 44.531 (47.863) Prec@5 68.359 (73.077)
Epoch: [61][1470/5005] Time 0.213 (0.213) Data 0.044 (0.048) Loss 2.4335 (2.2786) Prec@1 44.922 (47.864) Prec@5 73.047 (73.077)
Epoch: [61][1480/5005] Time 0.213 (0.213) Data 0.043 (0.048) Loss 2.1946 (2.2786) Prec@1 46.094 (47.863) Prec@5 75.391 (73.081)
Epoch: [61][1490/5005] Time 0.215 (0.213) Data 0.044 (0.048) Loss 2.5585 (2.2783) Prec@1 45.312 (47.864) Prec@5 68.750 (73.080)
Epoch: [61][1500/5005] Time 0.211 (0.213) Data 0.046 (0.048) Loss 2.2621 (2.2781) Prec@1 48.828 (47.873) Prec@5 74.219 (73.092)
Epoch: [61][1510/5005] Time 0.208 (0.213) Data 0.046 (0.048) Loss 2.0865 (2.2778) Prec@1 50.781 (47.876) Prec@5 75.781 (73.097)
Epoch: [61][1520/5005] Time 0.198 (0.213) Data 0.047 (0.048) Loss 2.4004 (2.2775) Prec@1 46.875 (47.882) Prec@5 70.312 (73.096)
Epoch: [61][1530/5005] Time 0.209 (0.213) Data 0.041 (0.048) Loss 2.4584 (2.2777) Prec@1 46.875 (47.883) Prec@5 72.656 (73.098)
Epoch: [61][1540/5005] Time 0.211 (0.213) Data 0.044 (0.048) Loss 2.3661 (2.2780) Prec@1 47.266 (47.880) Prec@5 70.312 (73.095)
Epoch: [61][1550/5005] Time 0.213 (0.213) Data 0.044 (0.048) Loss 2.2860 (2.2778) Prec@1 46.094 (47.883) Prec@5 75.391 (73.097)
Epoch: [61][1560/5005] Time 0.204 (0.213) Data 0.043 (0.048) Loss 2.2478 (2.2779) Prec@1 50.391 (47.887) Prec@5 73.828 (73.095)
Epoch: [61][1570/5005] Time 0.216 (0.213) Data 0.046 (0.048) Loss 2.2815 (2.2776) Prec@1 48.047 (47.900) Prec@5 73.828 (73.095)
Epoch: [61][1580/5005] Time 0.217 (0.213) Data 0.043 (0.048) Loss 2.1400 (2.2776) Prec@1 45.312 (47.893) Prec@5 77.344 (73.095)
Epoch: [61][1590/5005] Time 0.201 (0.213) Data 0.043 (0.048) Loss 2.1385 (2.2777) Prec@1 53.125 (47.890) Prec@5 72.656 (73.091)
Epoch: [61][1600/5005] Time 0.202 (0.213) Data 0.049 (0.048) Loss 2.2110 (2.2774) Prec@1 48.047 (47.895) Prec@5 72.266 (73.096)
Epoch: [61][1610/5005] Time 0.202 (0.213) Data 0.055 (0.048) Loss 2.3187 (2.2777) Prec@1 44.922 (47.892) Prec@5 74.219 (73.093)
Epoch: [61][1620/5005] Time 0.203 (0.213) Data 0.049 (0.048) Loss 2.4794 (2.2777) Prec@1 42.188 (47.884) Prec@5 70.312 (73.090)
Epoch: [61][1630/5005] Time 0.199 (0.213) Data 0.042 (0.048) Loss 2.1869 (2.2780) Prec@1 49.219 (47.886) Prec@5 74.219 (73.082)
Epoch: [61][1640/5005] Time 0.213 (0.213) Data 0.041 (0.048) Loss 2.3569 (2.2782) Prec@1 51.562 (47.888) Prec@5 71.484 (73.076)
Epoch: [61][1650/5005] Time 0.216 (0.213) Data 0.043 (0.048) Loss 2.3828 (2.2782) Prec@1 44.922 (47.889) Prec@5 73.047 (73.079)
Epoch: [61][1660/5005] Time 0.216 (0.213) Data 0.044 (0.048) Loss 2.1344 (2.2775) Prec@1 50.391 (47.905) Prec@5 75.391 (73.089)
Epoch: [61][1670/5005] Time 0.192 (0.213) Data 0.054 (0.048) Loss 2.0581 (2.2774) Prec@1 49.219 (47.910) Prec@5 77.734 (73.097)
Epoch: [61][1680/5005] Time 0.210 (0.213) Data 0.051 (0.048) Loss 2.4475 (2.2776) Prec@1 45.703 (47.909) Prec@5 71.094 (73.098)
Epoch: [61][1690/5005] Time 0.206 (0.213) Data 0.044 (0.048) Loss 2.2389 (2.2774) Prec@1 49.219 (47.908) Prec@5 75.781 (73.102)
Epoch: [61][1700/5005] Time 0.211 (0.213) Data 0.043 (0.048) Loss 2.2515 (2.2770) Prec@1 44.922 (47.911) Prec@5 74.219 (73.107)
Epoch: [61][1710/5005] Time 0.210 (0.213) Data 0.046 (0.048) Loss 2.2282 (2.2765) Prec@1 45.312 (47.914) Prec@5 74.609 (73.114)
Epoch: [61][1720/5005] Time 0.208 (0.213) Data 0.050 (0.048) Loss 2.2793 (2.2767) Prec@1 52.344 (47.913) Prec@5 73.828 (73.114)
Epoch: [61][1730/5005] Time 0.205 (0.213) Data 0.043 (0.048) Loss 2.3062 (2.2765) Prec@1 44.531 (47.915) Prec@5 73.438 (73.115)
Epoch: [61][1740/5005] Time 0.209 (0.213) Data 0.049 (0.048) Loss 2.3336 (2.2763) Prec@1 48.047 (47.919) Prec@5 74.609 (73.125)
Epoch: [61][1750/5005] Time 0.213 (0.213) Data 0.045 (0.048) Loss 2.2234 (2.2760) Prec@1 48.047 (47.926) Prec@5 75.391 (73.129)
Epoch: [61][1760/5005] Time 0.205 (0.213) Data 0.051 (0.048) Loss 2.2140 (2.2760) Prec@1 49.609 (47.923) Prec@5 75.781 (73.131)
Epoch: [61][1770/5005] Time 0.210 (0.213) Data 0.044 (0.048) Loss 2.1416 (2.2758) Prec@1 50.391 (47.922) Prec@5 76.172 (73.134)
Epoch: [61][1780/5005] Time 0.200 (0.213) Data 0.051 (0.048) Loss 2.1274 (2.2757) Prec@1 48.828 (47.915) Prec@5 76.953 (73.141)
Epoch: [61][1790/5005] Time 0.212 (0.213) Data 0.041 (0.048) Loss 2.1178 (2.2754) Prec@1 53.125 (47.921) Prec@5 73.828 (73.142)
Epoch: [61][1800/5005] Time 0.212 (0.213) Data 0.049 (0.048) Loss 2.2583 (2.2750) Prec@1 51.562 (47.927) Prec@5 71.484 (73.144)
Epoch: [61][1810/5005] Time 0.200 (0.213) Data 0.046 (0.048) Loss 2.0459 (2.2747) Prec@1 54.297 (47.926) Prec@5 75.000 (73.143)
Epoch: [61][1820/5005] Time 0.214 (0.213) Data 0.043 (0.048) Loss 2.2137 (2.2746) Prec@1 46.875 (47.928) Prec@5 75.391 (73.147)
Epoch: [61][1830/5005] Time 0.213 (0.213) Data 0.046 (0.048) Loss 2.0035 (2.2741) Prec@1 52.344 (47.936) Prec@5 79.688 (73.156)
Epoch: [61][1840/5005] Time 0.210 (0.213) Data 0.044 (0.048) Loss 2.4096 (2.2739) Prec@1 43.359 (47.939) Prec@5 72.656 (73.159)
Epoch: [61][1850/5005] Time 0.203 (0.213) Data 0.042 (0.048) Loss 2.2077 (2.2736) Prec@1 50.781 (47.950) Prec@5 74.609 (73.165)
Epoch: [61][1860/5005] Time 0.201 (0.213) Data 0.046 (0.048) Loss 2.2768 (2.2737) Prec@1 47.656 (47.951) Prec@5 73.828 (73.161)
Epoch: [61][1870/5005] Time 0.219 (0.213) Data 0.045 (0.048) Loss 2.4462 (2.2738) Prec@1 42.578 (47.946) Prec@5 69.531 (73.158)
Epoch: [61][1880/5005] Time 0.218 (0.213) Data 0.044 (0.048) Loss 2.4403 (2.2740) Prec@1 42.188 (47.939) Prec@5 72.266 (73.152)
Epoch: [61][1890/5005] Time 0.209 (0.213) Data 0.043 (0.048) Loss 2.3682 (2.2739) Prec@1 44.141 (47.940) Prec@5 73.828 (73.158)
Epoch: [61][1900/5005] Time 0.212 (0.213) Data 0.054 (0.048) Loss 2.2566 (2.2742) Prec@1 47.266 (47.938) Prec@5 74.219 (73.147)
Epoch: [61][1910/5005] Time 0.197 (0.213) Data 0.048 (0.048) Loss 2.2519 (2.2742) Prec@1 48.828 (47.933) Prec@5 75.391 (73.148)
Epoch: [61][1920/5005] Time 0.210 (0.213) Data 0.051 (0.048) Loss 2.1290 (2.2740) Prec@1 46.484 (47.932) Prec@5 74.609 (73.153)
Epoch: [61][1930/5005] Time 0.209 (0.212) Data 0.050 (0.048) Loss 2.1621 (2.2737) Prec@1 52.734 (47.941) Prec@5 73.047 (73.157)
Epoch: [61][1940/5005] Time 0.194 (0.212) Data 0.048 (0.048) Loss 2.1290 (2.2734) Prec@1 50.000 (47.942) Prec@5 76.953 (73.169)
Epoch: [61][1950/5005] Time 0.212 (0.212) Data 0.045 (0.048) Loss 2.3978 (2.2732) Prec@1 45.312 (47.936) Prec@5 70.312 (73.172)
Epoch: [61][1960/5005] Time 0.204 (0.212) Data 0.067 (0.048) Loss 2.3050 (2.2731) Prec@1 44.922 (47.937) Prec@5 73.828 (73.176)
Epoch: [61][1970/5005] Time 0.222 (0.212) Data 0.049 (0.048) Loss 2.1717 (2.2732) Prec@1 53.906 (47.934) Prec@5 73.828 (73.175)
Epoch: [61][1980/5005] Time 0.202 (0.212) Data 0.043 (0.048) Loss 2.1072 (2.2730) Prec@1 52.734 (47.939) Prec@5 73.828 (73.180)
Epoch: [61][1990/5005] Time 0.202 (0.212) Data 0.055 (0.048) Loss 2.1211 (2.2727) Prec@1 50.781 (47.940) Prec@5 74.609 (73.182)
Epoch: [61][2000/5005] Time 0.204 (0.213) Data 0.049 (0.048) Loss 2.1904 (2.2729) Prec@1 52.344 (47.940) Prec@5 74.219 (73.182)
Epoch: [61][2010/5005] Time 0.201 (0.213) Data 0.044 (0.048) Loss 2.2073 (2.2730) Prec@1 48.828 (47.937) Prec@5 71.094 (73.181)
Epoch: [61][2020/5005] Time 0.204 (0.213) Data 0.046 (0.048) Loss 2.2010 (2.2731) Prec@1 50.391 (47.935) Prec@5 74.219 (73.179)
Epoch: [61][2030/5005] Time 0.207 (0.213) Data 0.043 (0.048) Loss 2.2911 (2.2732) Prec@1 47.656 (47.934) Prec@5 73.828 (73.173)
Epoch: [61][2040/5005] Time 0.205 (0.213) Data 0.050 (0.048) Loss 1.9607 (2.2730) Prec@1 53.125 (47.935) Prec@5 78.125 (73.178)
Epoch: [61][2050/5005] Time 0.211 (0.213) Data 0.045 (0.048) Loss 2.4267 (2.2727) Prec@1 47.656 (47.939) Prec@5 71.094 (73.185)
Epoch: [61][2060/5005] Time 0.220 (0.213) Data 0.052 (0.048) Loss 2.2168 (2.2726) Prec@1 49.219 (47.938) Prec@5 73.828 (73.186)
Epoch: [61][2070/5005] Time 0.206 (0.213) Data 0.045 (0.048) Loss 2.4807 (2.2727) Prec@1 42.578 (47.938) Prec@5 69.922 (73.181)
Epoch: [61][2080/5005] Time 0.209 (0.213) Data 0.046 (0.048) Loss 2.2153 (2.2726) Prec@1 45.703 (47.938) Prec@5 73.828 (73.185)
Epoch: [61][2090/5005] Time 0.217 (0.213) Data 0.043 (0.048) Loss 2.0162 (2.2721) Prec@1 52.344 (47.944) Prec@5 77.344 (73.190)
Epoch: [61][2100/5005] Time 0.207 (0.213) Data 0.044 (0.048) Loss 2.4097 (2.2719) Prec@1 41.406 (47.941) Prec@5 69.922 (73.189)
Epoch: [61][2110/5005] Time 0.212 (0.213) Data 0.045 (0.048) Loss 2.0634 (2.2719) Prec@1 46.484 (47.942) Prec@5 81.250 (73.193)
Epoch: [61][2120/5005] Time 0.216 (0.213) Data 0.044 (0.048) Loss 2.3188 (2.2718) Prec@1 46.484 (47.942) Prec@5 71.484 (73.201)
Epoch: [61][2130/5005] Time 0.212 (0.213) Data 0.043 (0.048) Loss 2.1565 (2.2713) Prec@1 52.344 (47.949) Prec@5 73.438 (73.209)
Epoch: [61][2140/5005] Time 0.210 (0.213) Data 0.050 (0.048) Loss 2.1684 (2.2712) Prec@1 48.828 (47.951) Prec@5 73.047 (73.212)
Epoch: [61][2150/5005] Time 0.214 (0.213) Data 0.043 (0.048) Loss 2.0679 (2.2712) Prec@1 49.219 (47.951) Prec@5 75.391 (73.214)
Epoch: [61][2160/5005] Time 0.211 (0.213) Data 0.043 (0.048) Loss 2.0899 (2.2711) Prec@1 46.484 (47.948) Prec@5 75.000 (73.211)
Epoch: [61][2170/5005] Time 0.217 (0.213) Data 0.042 (0.048) Loss 2.1628 (2.2708) Prec@1 49.609 (47.956) Prec@5 76.172 (73.217)
Epoch: [61][2180/5005] Time 0.209 (0.213) Data 0.041 (0.048) Loss 2.3112 (2.2708) Prec@1 52.344 (47.961) Prec@5 70.703 (73.216)
Epoch: [61][2190/5005] Time 0.203 (0.213) Data 0.044 (0.048) Loss 2.5164 (2.2708) Prec@1 44.141 (47.966) Prec@5 70.703 (73.218)
Epoch: [61][2200/5005] Time 0.207 (0.213) Data 0.044 (0.048) Loss 2.2532 (2.2709) Prec@1 50.000 (47.964) Prec@5 69.922 (73.216)
Epoch: [61][2210/5005] Time 0.205 (0.212) Data 0.048 (0.048) Loss 2.3674 (2.2712) Prec@1 43.359 (47.958) Prec@5 69.922 (73.211)
Epoch: [61][2220/5005] Time 0.208 (0.212) Data 0.042 (0.048) Loss 2.4028 (2.2711) Prec@1 49.219 (47.957) Prec@5 67.578 (73.211)
Epoch: [61][2230/5005] Time 0.212 (0.212) Data 0.041 (0.048) Loss 2.2299 (2.2712) Prec@1 49.609 (47.960) Prec@5 73.828 (73.208)
Epoch: [61][2240/5005] Time 0.207 (0.212) Data 0.044 (0.048) Loss 2.2659 (2.2712) Prec@1 48.047 (47.958) Prec@5 73.047 (73.206)
Epoch: [61][2250/5005] Time 0.206 (0.212) Data 0.045 (0.048) Loss 2.0380 (2.2712) Prec@1 49.219 (47.958) Prec@5 78.516 (73.208)
Epoch: [61][2260/5005] Time 0.210 (0.212) Data 0.048 (0.048) Loss 2.2029 (2.2709) Prec@1 47.656 (47.957) Prec@5 75.000 (73.215)
Epoch: [61][2270/5005] Time 0.202 (0.212) Data 0.058 (0.048) Loss 2.2630 (2.2706) Prec@1 50.000 (47.966) Prec@5 74.609 (73.219)
Epoch: [61][2280/5005] Time 0.216 (0.212) Data 0.047 (0.048) Loss 2.4343 (2.2706) Prec@1 44.922 (47.966) Prec@5 70.703 (73.221)
Epoch: [61][2290/5005] Time 0.210 (0.212) Data 0.042 (0.048) Loss 2.3089 (2.2708) Prec@1 46.484 (47.965) Prec@5 73.828 (73.218)
Epoch: [61][2300/5005] Time 0.214 (0.212) Data 0.041 (0.048) Loss 2.1349 (2.2706) Prec@1 48.828 (47.966) Prec@5 76.562 (73.219)
Epoch: [61][2310/5005] Time 0.210 (0.212) Data 0.043 (0.048) Loss 2.0819 (2.2704) Prec@1 52.734 (47.974) Prec@5 75.781 (73.223)
Epoch: [61][2320/5005] Time 0.202 (0.212) Data 0.056 (0.048) Loss 2.3862 (2.2702) Prec@1 47.656 (47.976) Prec@5 69.922 (73.225)
Epoch: [61][2330/5005] Time 0.205 (0.212) Data 0.048 (0.048) Loss 2.2025 (2.2701) Prec@1 50.000 (47.981) Prec@5 71.875 (73.225)
Epoch: [61][2340/5005] Time 0.211 (0.212) Data 0.041 (0.048) Loss 2.2495 (2.2698) Prec@1 48.828 (47.987) Prec@5 71.484 (73.231)
Epoch: [61][2350/5005] Time 0.208 (0.212) Data 0.058 (0.048) Loss 2.2460 (2.2697) Prec@1 48.828 (47.986) Prec@5 73.438 (73.233)
Epoch: [61][2360/5005] Time 0.207 (0.212) Data 0.059 (0.048) Loss 2.2325 (2.2697) Prec@1 50.781 (47.989) Prec@5 71.094 (73.232)
Epoch: [61][2370/5005] Time 0.204 (0.212) Data 0.052 (0.048) Loss 2.2864 (2.2698) Prec@1 44.922 (47.984) Prec@5 73.047 (73.228)
Epoch: [61][2380/5005] Time 0.205 (0.212) Data 0.047 (0.048) Loss 2.3717 (2.2695) Prec@1 49.219 (47.993) Prec@5 71.875 (73.233)
Epoch: [61][2390/5005] Time 0.202 (0.212) Data 0.047 (0.048) Loss 2.1705 (2.2694) Prec@1 53.516 (47.999) Prec@5 73.047 (73.233)
Epoch: [61][2400/5005] Time 0.223 (0.212) Data 0.050 (0.048) Loss 2.2695 (2.2693) Prec@1 51.172 (48.000) Prec@5 73.047 (73.235)
Epoch: [61][2410/5005] Time 0.203 (0.212) Data 0.048 (0.048) Loss 2.4134 (2.2693) Prec@1 47.266 (48.000) Prec@5 69.922 (73.233)
Epoch: [61][2420/5005] Time 0.218 (0.212) Data 0.048 (0.048) Loss 2.3536 (2.2691) Prec@1 45.703 (48.004) Prec@5 69.922 (73.236)
Epoch: [61][2430/5005] Time 0.206 (0.212) Data 0.045 (0.048) Loss 2.0887 (2.2692) Prec@1 50.781 (48.004) Prec@5 73.047 (73.236)
Epoch: [61][2440/5005] Time 0.205 (0.212) Data 0.044 (0.048) Loss 2.1847 (2.2691) Prec@1 49.609 (48.009) Prec@5 71.484 (73.232)
Epoch: [61][2450/5005] Time 0.207 (0.212) Data 0.046 (0.048) Loss 2.1455 (2.2689) Prec@1 51.172 (48.009) Prec@5 75.000 (73.231)
Epoch: [61][2460/5005] Time 0.206 (0.212) Data 0.042 (0.048) Loss 2.2981 (2.2687) Prec@1 46.484 (48.016) Prec@5 73.047 (73.230)
Epoch: [61][2470/5005] Time 0.204 (0.212) Data 0.058 (0.048) Loss 2.1409 (2.2686) Prec@1 52.734 (48.017) Prec@5 71.094 (73.233)
Epoch: [61][2480/5005] Time 0.198 (0.212) Data 0.050 (0.048) Loss 2.3970 (2.2687) Prec@1 45.703 (48.012) Prec@5 71.875 (73.232)
Epoch: [61][2490/5005] Time 0.224 (0.212) Data 0.050 (0.048) Loss 2.1467 (2.2686) Prec@1 50.391 (48.012) Prec@5 78.906 (73.235)
Epoch: [61][2500/5005] Time 0.206 (0.212) Data 0.050 (0.048) Loss 2.2270 (2.2686) Prec@1 46.875 (48.011) Prec@5 71.875 (73.236)
Epoch: [61][2510/5005] Time 0.208 (0.212) Data 0.057 (0.048) Loss 2.3462 (2.2684) Prec@1 44.141 (48.011) Prec@5 73.438 (73.240)
Epoch: [61][2520/5005] Time 0.220 (0.212) Data 0.039 (0.048) Loss 2.2634 (2.2684) Prec@1 48.828 (48.012) Prec@5 73.438 (73.239)
Epoch: [61][2530/5005] Time 0.209 (0.212) Data 0.047 (0.048) Loss 2.4230 (2.2684) Prec@1 43.750 (48.005) Prec@5 69.531 (73.238)
Epoch: [61][2540/5005] Time 0.206 (0.212) Data 0.052 (0.048) Loss 2.2785 (2.2684) Prec@1 46.094 (48.003) Prec@5 70.312 (73.237)
Epoch: [61][2550/5005] Time 0.203 (0.212) Data 0.050 (0.048) Loss 2.2269 (2.2685) Prec@1 46.875 (48.003) Prec@5 74.219 (73.240)
Epoch: [61][2560/5005] Time 0.215 (0.212) Data 0.044 (0.048) Loss 2.4337 (2.2685) Prec@1 44.531 (48.004) Prec@5 67.188 (73.237)
Epoch: [61][2570/5005] Time 0.201 (0.212) Data 0.048 (0.048) Loss 2.3600 (2.2685) Prec@1 44.531 (48.001) Prec@5 73.828 (73.236)
Epoch: [61][2580/5005] Time 0.207 (0.212) Data 0.060 (0.048) Loss 2.3565 (2.2688) Prec@1 45.703 (47.998) Prec@5 73.828 (73.234)
Epoch: [61][2590/5005] Time 0.200 (0.212) Data 0.041 (0.048) Loss 2.3702 (2.2687) Prec@1 45.703 (48.000) Prec@5 71.484 (73.235)
Epoch: [61][2600/5005] Time 0.210 (0.212) Data 0.046 (0.048) Loss 2.4231 (2.2690) Prec@1 48.438 (47.996) Prec@5 75.000 (73.233)
Epoch: [61][2610/5005] Time 0.207 (0.212) Data 0.043 (0.048) Loss 2.4239 (2.2688) Prec@1 44.141 (47.998) Prec@5 73.047 (73.237)
Epoch: [61][2620/5005] Time 0.195 (0.212) Data 0.046 (0.048) Loss 2.1281 (2.2688) Prec@1 50.781 (47.998) Prec@5 75.000 (73.238)
Epoch: [61][2630/5005] Time 0.204 (0.212) Data 0.047 (0.048) Loss 2.3790 (2.2691) Prec@1 42.969 (47.996) Prec@5 75.000 (73.233)
Epoch: [61][2640/5005] Time 0.215 (0.212) Data 0.043 (0.048) Loss 2.4075 (2.2689) Prec@1 44.141 (48.001) Prec@5 68.750 (73.237)
Epoch: [61][2650/5005] Time 0.210 (0.212) Data 0.055 (0.048) Loss 2.4798 (2.2690) Prec@1 46.484 (48.001) Prec@5 70.703 (73.234)
Epoch: [61][2660/5005] Time 0.207 (0.212) Data 0.049 (0.048) Loss 2.1344 (2.2690) Prec@1 51.562 (48.005) Prec@5 77.344 (73.234)
Epoch: [61][2670/5005] Time 0.213 (0.212) Data 0.049 (0.048) Loss 2.0177 (2.2688) Prec@1 51.172 (48.010) Prec@5 77.344 (73.238)
Epoch: [61][2680/5005] Time 0.200 (0.212) Data 0.056 (0.048) Loss 2.0930 (2.2686) Prec@1 52.734 (48.009) Prec@5 76.953 (73.240)
Epoch: [61][2690/5005] Time 0.214 (0.212) Data 0.048 (0.048) Loss 2.1111 (2.2684) Prec@1 51.953 (48.017) Prec@5 76.562 (73.242)
Epoch: [61][2700/5005] Time 0.201 (0.212) Data 0.042 (0.048) Loss 2.3031 (2.2685) Prec@1 44.141 (48.012) Prec@5 72.266 (73.243)
Epoch: [61][2710/5005] Time 0.215 (0.212) Data 0.044 (0.048) Loss 2.1949 (2.2686) Prec@1 49.219 (48.007) Prec@5 74.219 (73.241)
Epoch: [61][2720/5005] Time 0.211 (0.212) Data 0.043 (0.048) Loss 2.1400 (2.2685) Prec@1 50.391 (48.005) Prec@5 77.344 (73.244)
Epoch: [61][2730/5005] Time 0.201 (0.212) Data 0.047 (0.048) Loss 2.4234 (2.2684) Prec@1 48.438 (48.005) Prec@5 70.703 (73.246)
Epoch: [61][2740/5005] Time 0.203 (0.212) Data 0.047 (0.048) Loss 2.0979 (2.2683) Prec@1 53.906 (48.009) Prec@5 75.000 (73.249)
Epoch: [61][2750/5005] Time 0.209 (0.212) Data 0.046 (0.048) Loss 2.2523 (2.2681) Prec@1 50.781 (48.016) Prec@5 74.219 (73.252)
Epoch: [61][2760/5005] Time 0.211 (0.212) Data 0.049 (0.048) Loss 2.3450 (2.2681) Prec@1 47.656 (48.013) Prec@5 72.656 (73.255)
Epoch: [61][2770/5005] Time 0.208 (0.212) Data 0.041 (0.048) Loss 2.2931 (2.2683) Prec@1 48.438 (48.010) Prec@5 73.438 (73.252)
Epoch: [61][2780/5005] Time 0.214 (0.212) Data 0.053 (0.048) Loss 2.3421 (2.2682) Prec@1 45.312 (48.015) Prec@5 69.531 (73.255)
Epoch: [61][2790/5005] Time 0.208 (0.212) Data 0.048 (0.048) Loss 2.5003 (2.2684) Prec@1 41.797 (48.012) Prec@5 66.797 (73.250)
Epoch: [61][2800/5005] Time 0.210 (0.212) Data 0.056 (0.048) Loss 2.0393 (2.2683) Prec@1 52.734 (48.014) Prec@5 75.391 (73.251)
Epoch: [61][2810/5005] Time 0.219 (0.212) Data 0.061 (0.048) Loss 2.4808 (2.2683) Prec@1 45.312 (48.014) Prec@5 70.703 (73.249)
Epoch: [61][2820/5005] Time 0.198 (0.212) Data 0.043 (0.048) Loss 1.9847 (2.2681) Prec@1 50.391 (48.015) Prec@5 75.781 (73.253)
Epoch: [61][2830/5005] Time 0.200 (0.212) Data 0.045 (0.048) Loss 2.4633 (2.2682) Prec@1 47.266 (48.013) Prec@5 72.656 (73.254)
Epoch: [61][2840/5005] Time 0.208 (0.212) Data 0.048 (0.048) Loss 2.3393 (2.2681) Prec@1 49.219 (48.013) Prec@5 72.266 (73.256)
Epoch: [61][2850/5005] Time 0.212 (0.212) Data 0.044 (0.048) Loss 2.2211 (2.2681) Prec@1 50.000 (48.018) Prec@5 73.438 (73.257)
Epoch: [61][2860/5005] Time 0.207 (0.212) Data 0.049 (0.048) Loss 2.3941 (2.2682) Prec@1 47.656 (48.019) Prec@5 71.875 (73.258)
Epoch: [61][2870/5005] Time 0.211 (0.212) Data 0.050 (0.048) Loss 2.1162 (2.2679) Prec@1 53.906 (48.029) Prec@5 75.391 (73.260)
Epoch: [61][2880/5005] Time 0.202 (0.212) Data 0.043 (0.048) Loss 2.1016 (2.2678) Prec@1 48.828 (48.029) Prec@5 77.344 (73.265)
Epoch: [61][2890/5005] Time 0.202 (0.212) Data 0.047 (0.048) Loss 2.1963 (2.2677) Prec@1 46.875 (48.032) Prec@5 72.656 (73.267)
Epoch: [61][2900/5005] Time 0.213 (0.212) Data 0.043 (0.048) Loss 2.1002 (2.2676) Prec@1 50.000 (48.034) Prec@5 77.734 (73.270)
Epoch: [61][2910/5005] Time 0.212 (0.212) Data 0.060 (0.048) Loss 2.1370 (2.2676) Prec@1 48.047 (48.035) Prec@5 75.781 (73.272)
Epoch: [61][2920/5005] Time 0.219 (0.211) Data 0.049 (0.048) Loss 2.3043 (2.2676) Prec@1 48.047 (48.036) Prec@5 73.438 (73.273)
Epoch: [61][2930/5005] Time 0.207 (0.211) Data 0.047 (0.048) Loss 2.4171 (2.2676) Prec@1 46.875 (48.034) Prec@5 68.359 (73.271)
Epoch: [61][2940/5005] Time 0.206 (0.211) Data 0.044 (0.048) Loss 2.2755 (2.2674) Prec@1 49.219 (48.043) Prec@5 73.438 (73.276)
Epoch: [61][2950/5005] Time 0.217 (0.211) Data 0.050 (0.048) Loss 2.4154 (2.2673) Prec@1 45.703 (48.043) Prec@5 71.094 (73.277)
Epoch: [61][2960/5005] Time 0.207 (0.211) Data 0.043 (0.048) Loss 2.2140 (2.2672) Prec@1 53.125 (48.050) Prec@5 72.656 (73.275)
Epoch: [61][2970/5005] Time 0.209 (0.211) Data 0.048 (0.048) Loss 2.3377 (2.2670) Prec@1 43.359 (48.051) Prec@5 71.094 (73.277)
Epoch: [61][2980/5005] Time 0.217 (0.211) Data 0.047 (0.048) Loss 2.4203 (2.2671) Prec@1 45.703 (48.048) Prec@5 72.656 (73.279)
Epoch: [61][2990/5005] Time 0.203 (0.211) Data 0.051 (0.048) Loss 2.2802 (2.2672) Prec@1 49.219 (48.046) Prec@5 73.047 (73.280)
Epoch: [61][3000/5005] Time 0.207 (0.211) Data 0.044 (0.048) Loss 2.2321 (2.2670) Prec@1 46.094 (48.048) Prec@5 76.562 (73.281)
Epoch: [61][3010/5005] Time 0.215 (0.211) Data 0.043 (0.048) Loss 2.1586 (2.2671) Prec@1 46.875 (48.046) Prec@5 75.781 (73.282)
Epoch: [61][3020/5005] Time 0.208 (0.211) Data 0.048 (0.048) Loss 2.1362 (2.2671) Prec@1 49.609 (48.047) Prec@5 75.781 (73.284)
Epoch: [61][3030/5005] Time 0.211 (0.211) Data 0.043 (0.048) Loss 2.3467 (2.2670) Prec@1 46.094 (48.047) Prec@5 72.656 (73.286)
Epoch: [61][3040/5005] Time 0.204 (0.211) Data 0.044 (0.048) Loss 2.1878 (2.2670) Prec@1 51.172 (48.051) Prec@5 74.219 (73.283)
Epoch: [61][3050/5005] Time 0.206 (0.211) Data 0.050 (0.048) Loss 2.0878 (2.2669) Prec@1 48.438 (48.050) Prec@5 78.125 (73.288)
Epoch: [61][3060/5005] Time 0.217 (0.211) Data 0.044 (0.048) Loss 2.0691 (2.2667) Prec@1 51.562 (48.052) Prec@5 76.953 (73.292)
Epoch: [61][3070/5005] Time 0.205 (0.211) Data 0.045 (0.048) Loss 2.2231 (2.2669) Prec@1 47.656 (48.050) Prec@5 72.656 (73.289)
Epoch: [61][3080/5005] Time 0.211 (0.211) Data 0.042 (0.048) Loss 2.2070 (2.2670) Prec@1 49.219 (48.044) Prec@5 76.562 (73.289)
Epoch: [61][3090/5005] Time 0.202 (0.211) Data 0.042 (0.048) Loss 2.4070 (2.2670) Prec@1 42.969 (48.041) Prec@5 73.438 (73.290)
Epoch: [61][3100/5005] Time 0.211 (0.211) Data 0.046 (0.048) Loss 2.2419 (2.2670) Prec@1 47.266 (48.042) Prec@5 72.656 (73.287)
Epoch: [61][3110/5005] Time 0.214 (0.211) Data 0.041 (0.048) Loss 1.9282 (2.2667) Prec@1 49.609 (48.044) Prec@5 79.688 (73.295)
Epoch: [61][3120/5005] Time 0.207 (0.211) Data 0.043 (0.048) Loss 2.2833 (2.2667) Prec@1 44.922 (48.040) Prec@5 75.391 (73.293)
Epoch: [61][3130/5005] Time 0.200 (0.211) Data 0.054 (0.048) Loss 2.3599 (2.2666) Prec@1 42.578 (48.042) Prec@5 71.875 (73.293)
Epoch: [61][3140/5005] Time 0.209 (0.211) Data 0.049 (0.048) Loss 2.0227 (2.2664) Prec@1 54.297 (48.049) Prec@5 73.438 (73.294)
Epoch: [61][3150/5005] Time 0.211 (0.211) Data 0.064 (0.048) Loss 2.2094 (2.2663) Prec@1 48.438 (48.054) Prec@5 73.828 (73.293)
Epoch: [61][3160/5005] Time 0.207 (0.211) Data 0.045 (0.048) Loss 2.1250 (2.2663) Prec@1 51.172 (48.059) Prec@5 77.734 (73.293)
Epoch: [61][3170/5005] Time 0.210 (0.211) Data 0.048 (0.048) Loss 2.3013 (2.2663) Prec@1 47.266 (48.061) Prec@5 73.828 (73.296)
Epoch: [61][3180/5005] Time 0.205 (0.211) Data 0.047 (0.048) Loss 2.0965 (2.2663) Prec@1 52.344 (48.064) Prec@5 76.562 (73.299)
Epoch: [61][3190/5005] Time 0.204 (0.211) Data 0.043 (0.048) Loss 2.2501 (2.2662) Prec@1 45.312 (48.065) Prec@5 72.656 (73.300)
Epoch: [61][3200/5005] Time 0.208 (0.211) Data 0.044 (0.048) Loss 2.1474 (2.2661) Prec@1 50.000 (48.070) Prec@5 76.562 (73.303)
Epoch: [61][3210/5005] Time 0.211 (0.211) Data 0.042 (0.048) Loss 2.3951 (2.2662) Prec@1 47.266 (48.071) Prec@5 71.094 (73.300)
Epoch: [61][3220/5005] Time 0.209 (0.211) Data 0.043 (0.048) Loss 2.3431 (2.2662) Prec@1 47.656 (48.072) Prec@5 73.047 (73.301)
Epoch: [61][3230/5005] Time 0.211 (0.211) Data 0.044 (0.048) Loss 2.1996 (2.2660) Prec@1 50.781 (48.076) Prec@5 71.875 (73.305)
Epoch: [61][3240/5005] Time 0.213 (0.211) Data 0.041 (0.048) Loss 2.5763 (2.2663) Prec@1 39.062 (48.067) Prec@5 67.578 (73.299)
Epoch: [61][3250/5005] Time 0.195 (0.211) Data 0.044 (0.048) Loss 2.1705 (2.2663) Prec@1 48.047 (48.069) Prec@5 77.344 (73.303)
Epoch: [61][3260/5005] Time 0.199 (0.211) Data 0.059 (0.048) Loss 2.1386 (2.2662) Prec@1 51.953 (48.069) Prec@5 73.438 (73.303)
Epoch: [61][3270/5005] Time 0.210 (0.211) Data 0.047 (0.048) Loss 2.2905 (2.2661) Prec@1 50.000 (48.070) Prec@5 71.875 (73.304)
Epoch: [61][3280/5005] Time 0.200 (0.211) Data 0.047 (0.048) Loss 2.1821 (2.2663) Prec@1 54.297 (48.070) Prec@5 73.438 (73.300)
Epoch: [61][3290/5005] Time 0.209 (0.211) Data 0.042 (0.048) Loss 2.3685 (2.2662) Prec@1 47.266 (48.072) Prec@5 71.094 (73.305)
Epoch: [61][3300/5005] Time 0.205 (0.211) Data 0.043 (0.048) Loss 2.2106 (2.2662) Prec@1 43.750 (48.071) Prec@5 73.438 (73.304)
Epoch: [61][3310/5005] Time 0.202 (0.211) Data 0.042 (0.048) Loss 2.1195 (2.2662) Prec@1 52.734 (48.069) Prec@5 76.172 (73.301)
Epoch: [61][3320/5005] Time 0.210 (0.211) Data 0.040 (0.048) Loss 2.2423 (2.2662) Prec@1 48.438 (48.068) Prec@5 75.391 (73.302)
Epoch: [61][3330/5005] Time 0.201 (0.211) Data 0.043 (0.048) Loss 2.3024 (2.2663) Prec@1 47.266 (48.066) Prec@5 69.922 (73.299)
Epoch: [61][3340/5005] Time 0.211 (0.211) Data 0.046 (0.048) Loss 2.4242 (2.2663) Prec@1 46.484 (48.065) Prec@5 73.047 (73.300)
Epoch: [61][3350/5005] Time 0.211 (0.211) Data 0.040 (0.048) Loss 2.2999 (2.2661) Prec@1 49.219 (48.067) Prec@5 75.391 (73.305)
Epoch: [61][3360/5005] Time 0.212 (0.211) Data 0.043 (0.048) Loss 2.1191 (2.2661) Prec@1 52.734 (48.067) Prec@5 76.562 (73.304)
Epoch: [61][3370/5005] Time 0.211 (0.211) Data 0.043 (0.048) Loss 2.2707 (2.2662) Prec@1 45.703 (48.063) Prec@5 72.266 (73.301)
Epoch: [61][3380/5005] Time 0.208 (0.211) Data 0.043 (0.048) Loss 2.2124 (2.2660) Prec@1 47.656 (48.066) Prec@5 77.344 (73.304)
Epoch: [61][3390/5005] Time 0.208 (0.211) Data 0.048 (0.048) Loss 2.2335 (2.2661) Prec@1 48.438 (48.065) Prec@5 71.094 (73.302)
Epoch: [61][3400/5005] Time 0.201 (0.211) Data 0.047 (0.048) Loss 2.1456 (2.2662) Prec@1 51.562 (48.065) Prec@5 75.000 (73.302)
Epoch: [61][3410/5005] Time 0.217 (0.211) Data 0.045 (0.048) Loss 2.1937 (2.2661) Prec@1 47.656 (48.067) Prec@5 73.828 (73.303)
Epoch: [61][3420/5005] Time 0.206 (0.211) Data 0.043 (0.048) Loss 2.2461 (2.2660) Prec@1 47.266 (48.067) Prec@5 68.359 (73.301)
Epoch: [61][3430/5005] Time 0.204 (0.211) Data 0.045 (0.048) Loss 2.2354 (2.2659) Prec@1 50.391 (48.069) Prec@5 70.703 (73.303)
Epoch: [61][3440/5005] Time 0.212 (0.211) Data 0.047 (0.048) Loss 2.2021 (2.2658) Prec@1 47.266 (48.070) Prec@5 73.438 (73.303)
Epoch: [61][3450/5005] Time 0.209 (0.211) Data 0.048 (0.048) Loss 2.0836 (2.2657) Prec@1 52.344 (48.071) Prec@5 74.609 (73.304)
Epoch: [61][3460/5005] Time 0.206 (0.211) Data 0.042 (0.048) Loss 2.2831 (2.2656) Prec@1 46.094 (48.074) Prec@5 74.219 (73.306)
Epoch: [61][3470/5005] Time 0.209 (0.211) Data 0.046 (0.048) Loss 2.1352 (2.2654) Prec@1 53.125 (48.080) Prec@5 72.656 (73.307)
Epoch: [61][3480/5005] Time 0.201 (0.211) Data 0.044 (0.048) Loss 2.1186 (2.2651) Prec@1 51.172 (48.084) Prec@5 77.734 (73.312)
Epoch: [61][3490/5005] Time 0.210 (0.211) Data 0.054 (0.048) Loss 2.2189 (2.2652) Prec@1 44.922 (48.081) Prec@5 75.391 (73.312)
Epoch: [61][3500/5005] Time 0.210 (0.211) Data 0.043 (0.048) Loss 2.2341 (2.2653) Prec@1 46.484 (48.080) Prec@5 77.344 (73.311)
Epoch: [61][3510/5005] Time 0.206 (0.211) Data 0.041 (0.048) Loss 2.2341 (2.2652) Prec@1 48.438 (48.080) Prec@5 74.219 (73.313)
Epoch: [61][3520/5005] Time 0.208 (0.211) Data 0.044 (0.048) Loss 2.3150 (2.2651) Prec@1 47.266 (48.080) Prec@5 70.703 (73.315)
Epoch: [61][3530/5005] Time 0.210 (0.211) Data 0.043 (0.048) Loss 2.2409 (2.2649) Prec@1 51.953 (48.085) Prec@5 73.438 (73.317)
Epoch: [61][3540/5005] Time 0.205 (0.211) Data 0.040 (0.048) Loss 2.1153 (2.2647) Prec@1 50.781 (48.089) Prec@5 77.734 (73.321)
Epoch: [61][3550/5005] Time 0.209 (0.211) Data 0.057 (0.048) Loss 2.3407 (2.2646) Prec@1 45.312 (48.092) Prec@5 69.531 (73.321)
Epoch: [61][3560/5005] Time 0.210 (0.211) Data 0.044 (0.048) Loss 2.2303 (2.2645) Prec@1 47.266 (48.094) Prec@5 71.094 (73.322)
Epoch: [61][3570/5005] Time 0.194 (0.211) Data 0.053 (0.048) Loss 2.3607 (2.2645) Prec@1 48.438 (48.096) Prec@5 71.484 (73.323)
Epoch: [61][3580/5005] Time 0.200 (0.211) Data 0.061 (0.048) Loss 2.2341 (2.2645) Prec@1 48.438 (48.096) Prec@5 72.656 (73.325)
Epoch: [61][3590/5005] Time 0.208 (0.211) Data 0.061 (0.048) Loss 2.2726 (2.2641) Prec@1 45.703 (48.102) Prec@5 74.219 (73.331)
Epoch: [61][3600/5005] Time 0.200 (0.211) Data 0.050 (0.048) Loss 2.1584 (2.2639) Prec@1 48.438 (48.106) Prec@5 76.562 (73.336)
Epoch: [61][3610/5005] Time 0.212 (0.211) Data 0.045 (0.048) Loss 2.2126 (2.2639) Prec@1 51.562 (48.107) Prec@5 75.391 (73.336)
Epoch: [61][3620/5005] Time 0.194 (0.211) Data 0.048 (0.048) Loss 2.5143 (2.2637) Prec@1 40.234 (48.113) Prec@5 66.797 (73.340)
Epoch: [61][3630/5005] Time 0.209 (0.211) Data 0.046 (0.048) Loss 2.5422 (2.2636) Prec@1 44.141 (48.112) Prec@5 68.750 (73.341)
Epoch: [61][3640/5005] Time 0.209 (0.211) Data 0.045 (0.048) Loss 2.3671 (2.2637) Prec@1 41.016 (48.109) Prec@5 73.047 (73.339)
Epoch: [61][3650/5005] Time 0.202 (0.211) Data 0.047 (0.048) Loss 2.1474 (2.2637) Prec@1 50.000 (48.107) Prec@5 72.656 (73.338)
Epoch: [61][3660/5005] Time 0.211 (0.211) Data 0.045 (0.048) Loss 2.4308 (2.2635) Prec@1 44.531 (48.111) Prec@5 71.484 (73.342)
Epoch: [61][3670/5005] Time 0.204 (0.211) Data 0.047 (0.048) Loss 2.3463 (2.2637) Prec@1 45.703 (48.109) Prec@5 70.312 (73.342)
Epoch: [61][3680/5005] Time 0.203 (0.211) Data 0.043 (0.048) Loss 2.1180 (2.2637) Prec@1 50.000 (48.108) Prec@5 75.391 (73.341)
Epoch: [61][3690/5005] Time 0.197 (0.211) Data 0.058 (0.048) Loss 1.9862 (2.2637) Prec@1 50.781 (48.106) Prec@5 79.688 (73.345)
Epoch: [61][3700/5005] Time 0.208 (0.211) Data 0.042 (0.048) Loss 2.2260 (2.2637) Prec@1 46.875 (48.106) Prec@5 74.219 (73.346)
Epoch: [61][3710/5005] Time 0.214 (0.211) Data 0.042 (0.048) Loss 2.1879 (2.2636) Prec@1 50.391 (48.107) Prec@5 76.953 (73.348)
Epoch: [61][3720/5005] Time 0.208 (0.211) Data 0.045 (0.048) Loss 2.3496 (2.2637) Prec@1 46.875 (48.105) Prec@5 70.703 (73.347)
Epoch: [61][3730/5005] Time 0.208 (0.211) Data 0.041 (0.048) Loss 2.2209 (2.2636) Prec@1 48.438 (48.107) Prec@5 75.781 (73.349)
Epoch: [61][3740/5005] Time 0.216 (0.211) Data 0.047 (0.048) Loss 2.1520 (2.2634) Prec@1 53.516 (48.112) Prec@5 78.125 (73.353)
Epoch: [61][3750/5005] Time 0.199 (0.211) Data 0.050 (0.048) Loss 2.1429 (2.2634) Prec@1 47.266 (48.110) Prec@5 75.000 (73.351)
Epoch: [61][3760/5005] Time 0.209 (0.211) Data 0.042 (0.048) Loss 2.3112 (2.2636) Prec@1 48.438 (48.105) Prec@5 69.922 (73.350)
Epoch: [61][3770/5005] Time 0.215 (0.211) Data 0.044 (0.048) Loss 2.2829 (2.2634) Prec@1 47.266 (48.107) Prec@5 72.656 (73.353)
Epoch: [61][3780/5005] Time 0.194 (0.211) Data 0.047 (0.048) Loss 2.2700 (2.2634) Prec@1 44.922 (48.106) Prec@5 69.531 (73.352)
Epoch: [61][3790/5005] Time 0.199 (0.211) Data 0.053 (0.048) Loss 2.1989 (2.2634) Prec@1 51.562 (48.105) Prec@5 76.172 (73.350)
Epoch: [61][3800/5005] Time 0.219 (0.211) Data 0.043 (0.048) Loss 2.2616 (2.2636) Prec@1 44.531 (48.099) Prec@5 71.875 (73.347)
Epoch: [61][3810/5005] Time 0.208 (0.211) Data 0.046 (0.048) Loss 2.3114 (2.2637) Prec@1 44.531 (48.095) Prec@5 73.047 (73.344)
Epoch: [61][3820/5005] Time 0.211 (0.211) Data 0.052 (0.048) Loss 2.2095 (2.2635) Prec@1 49.219 (48.097) Prec@5 74.609 (73.349)
Epoch: [61][3830/5005] Time 0.214 (0.211) Data 0.047 (0.048) Loss 2.2987 (2.2633) Prec@1 46.875 (48.103) Prec@5 70.703 (73.350)
Epoch: [61][3840/5005] Time 0.194 (0.211) Data 0.067 (0.048) Loss 2.5551 (2.2634) Prec@1 42.969 (48.100) Prec@5 72.656 (73.348)
Epoch: [61][3850/5005] Time 0.217 (0.211) Data 0.043 (0.048) Loss 2.3050 (2.2632) Prec@1 46.484 (48.101) Prec@5 74.609 (73.351)
Epoch: [61][3860/5005] Time 0.202 (0.211) Data 0.043 (0.048) Loss 1.9897 (2.2632) Prec@1 55.469 (48.101) Prec@5 77.734 (73.352)
Epoch: [61][3870/5005] Time 0.201 (0.211) Data 0.055 (0.048) Loss 2.1485 (2.2632) Prec@1 48.047 (48.102) Prec@5 75.000 (73.351)
Epoch: [61][3880/5005] Time 0.204 (0.211) Data 0.050 (0.048) Loss 2.0880 (2.2631) Prec@1 54.688 (48.105) Prec@5 76.172 (73.353)
Epoch: [61][3890/5005] Time 0.205 (0.211) Data 0.045 (0.048) Loss 2.4607 (2.2630) Prec@1 44.922 (48.105) Prec@5 71.484 (73.355)
Epoch: [61][3900/5005] Time 0.204 (0.211) Data 0.040 (0.048) Loss 2.5416 (2.2631) Prec@1 44.922 (48.103) Prec@5 69.922 (73.353)
Epoch: [61][3910/5005] Time 0.210 (0.211) Data 0.043 (0.048) Loss 2.3214 (2.2631) Prec@1 44.922 (48.103) Prec@5 71.484 (73.355)
Epoch: [61][3920/5005] Time 0.215 (0.211) Data 0.046 (0.048) Loss 2.2493 (2.2632) Prec@1 47.266 (48.099) Prec@5 73.438 (73.351)
Epoch: [61][3930/5005] Time 0.647 (0.211) Data 0.059 (0.048) Loss 2.1971 (2.2629) Prec@1 48.047 (48.105) Prec@5 75.000 (73.358)
Epoch: [61][3940/5005] Time 0.205 (0.211) Data 0.060 (0.048) Loss 2.1926 (2.2629) Prec@1 48.438 (48.103) Prec@5 73.047 (73.356)
Epoch: [61][3950/5005] Time 0.206 (0.211) Data 0.051 (0.048) Loss 2.0642 (2.2626) Prec@1 55.859 (48.109) Prec@5 79.297 (73.360)
Epoch: [61][3960/5005] Time 0.201 (0.211) Data 0.048 (0.048) Loss 2.2254 (2.2626) Prec@1 45.703 (48.107) Prec@5 76.953 (73.362)
Epoch: [61][3970/5005] Time 0.210 (0.211) Data 0.048 (0.048) Loss 2.2834 (2.2625) Prec@1 47.656 (48.110) Prec@5 71.875 (73.362)
Epoch: [61][3980/5005] Time 0.209 (0.211) Data 0.055 (0.048) Loss 2.0972 (2.2624) Prec@1 48.828 (48.112) Prec@5 77.344 (73.363)
Epoch: [61][3990/5005] Time 0.212 (0.211) Data 0.044 (0.048) Loss 2.3905 (2.2625) Prec@1 44.141 (48.108) Prec@5 71.875 (73.365)
Epoch: [61][4000/5005] Time 0.207 (0.211) Data 0.041 (0.048) Loss 2.1264 (2.2624) Prec@1 48.047 (48.109) Prec@5 76.562 (73.368)
Epoch: [61][4010/5005] Time 0.204 (0.211) Data 0.046 (0.048) Loss 2.1383 (2.2621) Prec@1 49.219 (48.114) Prec@5 74.219 (73.375)
Epoch: [61][4020/5005] Time 0.204 (0.211) Data 0.042 (0.048) Loss 2.4122 (2.2621) Prec@1 43.750 (48.114) Prec@5 72.266 (73.374)
Epoch: [61][4030/5005] Time 0.209 (0.211) Data 0.063 (0.048) Loss 2.3773 (2.2624) Prec@1 44.922 (48.111) Prec@5 73.047 (73.369)
Epoch: [61][4040/5005] Time 0.214 (0.211) Data 0.045 (0.048) Loss 2.3781 (2.2626) Prec@1 44.922 (48.106) Prec@5 69.141 (73.366)
Epoch: [61][4050/5005] Time 0.207 (0.211) Data 0.051 (0.048) Loss 2.4937 (2.2625) Prec@1 42.969 (48.110) Prec@5 71.094 (73.368)
Epoch: [61][4060/5005] Time 0.210 (0.211) Data 0.050 (0.048) Loss 2.3212 (2.2625) Prec@1 42.188 (48.107) Prec@5 73.438 (73.371)
Epoch: [61][4070/5005] Time 0.214 (0.211) Data 0.052 (0.048) Loss 2.5451 (2.2625) Prec@1 42.578 (48.103) Prec@5 69.141 (73.371)
Epoch: [61][4080/5005] Time 0.206 (0.211) Data 0.047 (0.048) Loss 2.1854 (2.2624) Prec@1 51.953 (48.106) Prec@5 74.609 (73.371)
Epoch: [61][4090/5005] Time 0.207 (0.211) Data 0.049 (0.048) Loss 2.3793 (2.2624) Prec@1 44.922 (48.108) Prec@5 68.750 (73.371)
Epoch: [61][4100/5005] Time 0.198 (0.211) Data 0.052 (0.048) Loss 2.1736 (2.2623) Prec@1 51.172 (48.110) Prec@5 73.828 (73.372)
Epoch: [61][4110/5005] Time 0.194 (0.211) Data 0.060 (0.048) Loss 2.3598 (2.2623) Prec@1 46.875 (48.109) Prec@5 75.391 (73.372)
Epoch: [61][4120/5005] Time 0.199 (0.211) Data 0.060 (0.048) Loss 2.2964 (2.2621) Prec@1 51.953 (48.112) Prec@5 71.875 (73.372)
Epoch: [61][4130/5005] Time 0.202 (0.211) Data 0.044 (0.048) Loss 2.2820 (2.2620) Prec@1 45.312 (48.114) Prec@5 74.219 (73.374)
Epoch: [61][4140/5005] Time 0.200 (0.211) Data 0.043 (0.048) Loss 2.3458 (2.2621) Prec@1 48.438 (48.115) Prec@5 72.656 (73.374)
Epoch: [61][4150/5005] Time 0.202 (0.211) Data 0.056 (0.048) Loss 2.4385 (2.2621) Prec@1 44.922 (48.116) Prec@5 71.875 (73.374)
Epoch: [61][4160/5005] Time 0.209 (0.211) Data 0.042 (0.048) Loss 2.2394 (2.2622) Prec@1 49.219 (48.116) Prec@5 73.047 (73.373)
Epoch: [61][4170/5005] Time 0.204 (0.211) Data 0.048 (0.048) Loss 2.1878 (2.2621) Prec@1 48.438 (48.121) Prec@5 75.391 (73.375)
Epoch: [61][4180/5005] Time 0.217 (0.211) Data 0.044 (0.048) Loss 2.0867 (2.2620) Prec@1 55.078 (48.120) Prec@5 76.172 (73.376)
Epoch: [61][4190/5005] Time 0.207 (0.211) Data 0.042 (0.048) Loss 2.1229 (2.2620) Prec@1 51.172 (48.121) Prec@5 73.828 (73.378)
Epoch: [61][4200/5005] Time 0.201 (0.211) Data 0.044 (0.048) Loss 2.1362 (2.2619) Prec@1 44.922 (48.119) Prec@5 76.953 (73.381)
Epoch: [61][4210/5005] Time 0.208 (0.211) Data 0.062 (0.048) Loss 2.1233 (2.2618) Prec@1 46.484 (48.120) Prec@5 78.906 (73.382)
Epoch: [61][4220/5005] Time 0.206 (0.211) Data 0.041 (0.048) Loss 2.3159 (2.2620) Prec@1 44.922 (48.118) Prec@5 73.828 (73.379)
Epoch: [61][4230/5005] Time 0.204 (0.211) Data 0.044 (0.048) Loss 2.2957 (2.2619) Prec@1 50.000 (48.120) Prec@5 73.438 (73.379)
Epoch: [61][4240/5005] Time 0.202 (0.211) Data 0.041 (0.048) Loss 2.0079 (2.2618) Prec@1 49.219 (48.120) Prec@5 78.906 (73.379)
Epoch: [61][4250/5005] Time 0.205 (0.211) Data 0.044 (0.048) Loss 2.1065 (2.2618) Prec@1 50.391 (48.123) Prec@5 74.609 (73.379)
Epoch: [61][4260/5005] Time 0.203 (0.211) Data 0.044 (0.048) Loss 2.2384 (2.2617) Prec@1 46.875 (48.119) Prec@5 74.609 (73.379)
Epoch: [61][4270/5005] Time 0.196 (0.211) Data 0.046 (0.048) Loss 2.4422 (2.2618) Prec@1 43.750 (48.116) Prec@5 69.922 (73.377)
Epoch: [61][4280/5005] Time 0.200 (0.211) Data 0.049 (0.048) Loss 2.3751 (2.2618) Prec@1 48.828 (48.117) Prec@5 71.094 (73.377)
Epoch: [61][4290/5005] Time 0.213 (0.211) Data 0.043 (0.048) Loss 2.4219 (2.2618) Prec@1 43.750 (48.118) Prec@5 70.312 (73.376)
Epoch: [61][4300/5005] Time 0.211 (0.211) Data 0.049 (0.048) Loss 2.0370 (2.2616) Prec@1 50.781 (48.120) Prec@5 78.906 (73.383)
Epoch: [61][4310/5005] Time 0.211 (0.210) Data 0.049 (0.048) Loss 2.0618 (2.2615) Prec@1 46.875 (48.121) Prec@5 78.516 (73.383)
Epoch: [61][4320/5005] Time 0.213 (0.210) Data 0.045 (0.048) Loss 2.1427 (2.2615) Prec@1 50.000 (48.121) Prec@5 75.391 (73.382)
Epoch: [61][4330/5005] Time 0.209 (0.210) Data 0.052 (0.048) Loss 2.1475 (2.2614) Prec@1 49.609 (48.126) Prec@5 77.344 (73.386)
Epoch: [61][4340/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.1421 (2.2615) Prec@1 50.000 (48.123) Prec@5 75.781 (73.388)
Epoch: [61][4350/5005] Time 0.205 (0.210) Data 0.042 (0.048) Loss 2.2713 (2.2614) Prec@1 49.219 (48.127) Prec@5 78.516 (73.389)
Epoch: [61][4360/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.1527 (2.2613) Prec@1 44.922 (48.127) Prec@5 74.609 (73.392)
Epoch: [61][4370/5005] Time 0.206 (0.210) Data 0.043 (0.048) Loss 2.1852 (2.2613) Prec@1 47.266 (48.129) Prec@5 75.781 (73.392)
Epoch: [61][4380/5005] Time 0.209 (0.210) Data 0.045 (0.048) Loss 2.3596 (2.2613) Prec@1 47.266 (48.129) Prec@5 67.578 (73.393)
Epoch: [61][4390/5005] Time 0.201 (0.210) Data 0.043 (0.048) Loss 2.3206 (2.2611) Prec@1 48.828 (48.135) Prec@5 71.484 (73.396)
Epoch: [61][4400/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.2273 (2.2610) Prec@1 45.312 (48.137) Prec@5 73.438 (73.397)
Epoch: [61][4410/5005] Time 0.214 (0.210) Data 0.047 (0.048) Loss 2.2270 (2.2609) Prec@1 47.656 (48.137) Prec@5 69.531 (73.398)
Epoch: [61][4420/5005] Time 0.209 (0.210) Data 0.044 (0.048) Loss 2.0167 (2.2609) Prec@1 53.516 (48.140) Prec@5 77.344 (73.399)
Epoch: [61][4430/5005] Time 0.212 (0.210) Data 0.046 (0.048) Loss 2.1944 (2.2606) Prec@1 47.656 (48.147) Prec@5 72.266 (73.402)
Epoch: [61][4440/5005] Time 0.212 (0.210) Data 0.042 (0.048) Loss 2.3415 (2.2606) Prec@1 43.750 (48.146) Prec@5 74.219 (73.403)
Epoch: [61][4450/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.1507 (2.2606) Prec@1 50.391 (48.149) Prec@5 73.438 (73.402)
Epoch: [61][4460/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.3202 (2.2605) Prec@1 46.875 (48.149) Prec@5 73.438 (73.403)
Epoch: [61][4470/5005] Time 0.210 (0.210) Data 0.041 (0.048) Loss 2.1965 (2.2605) Prec@1 48.828 (48.150) Prec@5 77.734 (73.404)
Epoch: [61][4480/5005] Time 0.197 (0.210) Data 0.048 (0.048) Loss 2.1696 (2.2606) Prec@1 46.875 (48.147) Prec@5 74.219 (73.403)
Epoch: [61][4490/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.3394 (2.2606) Prec@1 48.047 (48.147) Prec@5 71.484 (73.403)
Epoch: [61][4500/5005] Time 0.211 (0.210) Data 0.045 (0.048) Loss 2.1478 (2.2605) Prec@1 50.391 (48.149) Prec@5 76.562 (73.407)
Epoch: [61][4510/5005] Time 0.208 (0.210) Data 0.044 (0.048) Loss 2.1401 (2.2604) Prec@1 50.000 (48.149) Prec@5 73.828 (73.408)
Epoch: [61][4520/5005] Time 0.207 (0.210) Data 0.042 (0.048) Loss 2.1954 (2.2603) Prec@1 49.219 (48.151) Prec@5 73.828 (73.409)
Epoch: [61][4530/5005] Time 0.212 (0.210) Data 0.045 (0.048) Loss 2.1927 (2.2602) Prec@1 48.438 (48.155) Prec@5 75.781 (73.412)
Epoch: [61][4540/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.4020 (2.2604) Prec@1 46.094 (48.151) Prec@5 73.047 (73.408)
Epoch: [61][4550/5005] Time 0.200 (0.210) Data 0.057 (0.048) Loss 2.3134 (2.2603) Prec@1 46.875 (48.153) Prec@5 71.094 (73.407)
Epoch: [61][4560/5005] Time 0.208 (0.210) Data 0.044 (0.048) Loss 2.1807 (2.2603) Prec@1 52.734 (48.154) Prec@5 72.656 (73.408)
Epoch: [61][4570/5005] Time 0.214 (0.210) Data 0.042 (0.048) Loss 2.2811 (2.2601) Prec@1 48.438 (48.154) Prec@5 72.266 (73.409)
Epoch: [61][4580/5005] Time 0.206 (0.210) Data 0.046 (0.048) Loss 2.4366 (2.2601) Prec@1 39.453 (48.156) Prec@5 72.266 (73.409)
Epoch: [61][4590/5005] Time 0.207 (0.210) Data 0.044 (0.048) Loss 2.2601 (2.2602) Prec@1 48.438 (48.158) Prec@5 75.391 (73.407)
Epoch: [61][4600/5005] Time 0.216 (0.210) Data 0.041 (0.048) Loss 2.0234 (2.2602) Prec@1 51.953 (48.159) Prec@5 76.953 (73.406)
Epoch: [61][4610/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.1089 (2.2602) Prec@1 50.391 (48.159) Prec@5 75.781 (73.409)
Epoch: [61][4620/5005] Time 0.215 (0.210) Data 0.042 (0.048) Loss 2.1336 (2.2601) Prec@1 53.906 (48.160) Prec@5 75.391 (73.407)
Epoch: [61][4630/5005] Time 0.205 (0.210) Data 0.059 (0.048) Loss 2.1453 (2.2601) Prec@1 47.656 (48.159) Prec@5 74.609 (73.409)
Epoch: [61][4640/5005] Time 0.210 (0.210) Data 0.061 (0.048) Loss 2.3318 (2.2601) Prec@1 43.750 (48.157) Prec@5 73.047 (73.409)
Epoch: [61][4650/5005] Time 0.205 (0.210) Data 0.057 (0.048) Loss 2.2359 (2.2600) Prec@1 46.875 (48.156) Prec@5 75.000 (73.412)
Epoch: [61][4660/5005] Time 0.200 (0.210) Data 0.045 (0.048) Loss 2.6026 (2.2600) Prec@1 40.625 (48.156) Prec@5 67.188 (73.410)
Epoch: [61][4670/5005] Time 0.208 (0.210) Data 0.041 (0.048) Loss 2.2114 (2.2599) Prec@1 50.781 (48.158) Prec@5 71.875 (73.411)
Epoch: [61][4680/5005] Time 0.209 (0.210) Data 0.041 (0.048) Loss 2.1367 (2.2599) Prec@1 50.391 (48.160) Prec@5 75.000 (73.411)
Epoch: [61][4690/5005] Time 0.215 (0.210) Data 0.046 (0.048) Loss 2.1815 (2.2598) Prec@1 48.438 (48.158) Prec@5 75.781 (73.413)
Epoch: [61][4700/5005] Time 0.213 (0.210) Data 0.045 (0.048) Loss 2.1743 (2.2598) Prec@1 52.734 (48.161) Prec@5 75.391 (73.413)
Epoch: [61][4710/5005] Time 0.200 (0.210) Data 0.048 (0.048) Loss 2.1373 (2.2596) Prec@1 50.391 (48.163) Prec@5 72.656 (73.416)
Epoch: [61][4720/5005] Time 0.206 (0.210) Data 0.044 (0.048) Loss 2.1998 (2.2596) Prec@1 46.875 (48.161) Prec@5 77.734 (73.417)
Epoch: [61][4730/5005] Time 0.202 (0.210) Data 0.050 (0.048) Loss 2.2905 (2.2597) Prec@1 47.656 (48.162) Prec@5 73.828 (73.417)
Epoch: [61][4740/5005] Time 0.208 (0.210) Data 0.040 (0.048) Loss 2.1871 (2.2596) Prec@1 43.750 (48.164) Prec@5 74.609 (73.417)
Epoch: [61][4750/5005] Time 0.204 (0.210) Data 0.045 (0.048) Loss 2.2734 (2.2596) Prec@1 50.000 (48.165) Prec@5 72.266 (73.418)
Epoch: [61][4760/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.3270 (2.2593) Prec@1 44.141 (48.168) Prec@5 73.828 (73.422)
Epoch: [61][4770/5005] Time 0.209 (0.210) Data 0.042 (0.048) Loss 2.1755 (2.2593) Prec@1 48.828 (48.169) Prec@5 75.391 (73.422)
Epoch: [61][4780/5005] Time 0.201 (0.210) Data 0.045 (0.048) Loss 2.3736 (2.2594) Prec@1 44.141 (48.168) Prec@5 73.438 (73.421)
Epoch: [61][4790/5005] Time 0.194 (0.210) Data 0.045 (0.048) Loss 2.5748 (2.2594) Prec@1 42.578 (48.169) Prec@5 66.406 (73.420)
Epoch: [61][4800/5005] Time 0.212 (0.210) Data 0.042 (0.048) Loss 2.3592 (2.2593) Prec@1 44.141 (48.167) Prec@5 69.922 (73.421)
Epoch: [61][4810/5005] Time 0.214 (0.210) Data 0.043 (0.048) Loss 2.4623 (2.2593) Prec@1 46.484 (48.166) Prec@5 68.359 (73.422)
Epoch: [61][4820/5005] Time 0.201 (0.210) Data 0.049 (0.048) Loss 2.3710 (2.2592) Prec@1 44.141 (48.168) Prec@5 67.578 (73.423)
Epoch: [61][4830/5005] Time 0.204 (0.210) Data 0.052 (0.048) Loss 2.1863 (2.2591) Prec@1 49.609 (48.170) Prec@5 76.562 (73.426)
Epoch: [61][4840/5005] Time 0.209 (0.210) Data 0.047 (0.048) Loss 2.0867 (2.2592) Prec@1 51.562 (48.169) Prec@5 75.000 (73.424)
Epoch: [61][4850/5005] Time 0.210 (0.210) Data 0.046 (0.048) Loss 2.3489 (2.2593) Prec@1 45.312 (48.166) Prec@5 68.359 (73.420)
Epoch: [61][4860/5005] Time 0.206 (0.210) Data 0.042 (0.048) Loss 2.1497 (2.2592) Prec@1 46.875 (48.166) Prec@5 73.047 (73.422)
Epoch: [61][4870/5005] Time 0.217 (0.210) Data 0.055 (0.048) Loss 2.1727 (2.2593) Prec@1 51.562 (48.167) Prec@5 73.828 (73.419)
Epoch: [61][4880/5005] Time 0.209 (0.210) Data 0.040 (0.048) Loss 2.1027 (2.2591) Prec@1 50.000 (48.169) Prec@5 75.000 (73.423)
Epoch: [61][4890/5005] Time 0.200 (0.210) Data 0.052 (0.048) Loss 2.3182 (2.2591) Prec@1 49.219 (48.168) Prec@5 69.922 (73.423)
Epoch: [61][4900/5005] Time 0.212 (0.210) Data 0.041 (0.048) Loss 2.1914 (2.2590) Prec@1 50.391 (48.169) Prec@5 74.609 (73.422)
Epoch: [61][4910/5005] Time 0.211 (0.210) Data 0.053 (0.048) Loss 2.2353 (2.2588) Prec@1 47.266 (48.173) Prec@5 74.609 (73.426)
Epoch: [61][4920/5005] Time 0.205 (0.210) Data 0.058 (0.048) Loss 2.2069 (2.2587) Prec@1 47.266 (48.175) Prec@5 72.266 (73.427)
Epoch: [61][4930/5005] Time 0.206 (0.210) Data 0.045 (0.048) Loss 2.4333 (2.2587) Prec@1 47.266 (48.175) Prec@5 68.359 (73.427)
Epoch: [61][4940/5005] Time 0.201 (0.210) Data 0.047 (0.048) Loss 2.2858 (2.2588) Prec@1 50.391 (48.176) Prec@5 71.484 (73.424)
Epoch: [61][4950/5005] Time 0.207 (0.210) Data 0.051 (0.048) Loss 2.0500 (2.2587) Prec@1 49.609 (48.176) Prec@5 77.734 (73.425)
Epoch: [61][4960/5005] Time 0.204 (0.210) Data 0.040 (0.048) Loss 2.4540 (2.2587) Prec@1 47.266 (48.176) Prec@5 73.438 (73.426)
Epoch: [61][4970/5005] Time 0.206 (0.210) Data 0.052 (0.048) Loss 2.4075 (2.2587) Prec@1 44.531 (48.177) Prec@5 69.922 (73.427)
Epoch: [61][4980/5005] Time 0.208 (0.210) Data 0.042 (0.048) Loss 2.2890 (2.2586) Prec@1 48.047 (48.180) Prec@5 73.828 (73.428)
Epoch: [61][4990/5005] Time 0.206 (0.210) Data 0.029 (0.048) Loss 2.3184 (2.2585) Prec@1 46.875 (48.183) Prec@5 74.219 (73.430)
Epoch: [61][5000/5005] Time 0.206 (0.210) Data 0.021 (0.048) Loss 2.3451 (2.2585) Prec@1 45.703 (48.180) Prec@5 73.047 (73.429)
Test: [0/196] Time 1.783 (1.783) Loss 2.4509 (2.4509) Prec@1 47.656 (47.656) Prec@5 69.531 (69.531)
Test: [10/196] Time 0.042 (0.305) Loss 2.5348 (2.5865) Prec@1 45.312 (43.714) Prec@5 70.703 (68.395)
Test: [20/196] Time 0.044 (0.232) Loss 2.4013 (2.5900) Prec@1 48.438 (43.583) Prec@5 73.438 (68.434)
Test: [30/196] Time 0.882 (0.225) Loss 2.4486 (2.5937) Prec@1 42.969 (43.372) Prec@5 70.703 (68.473)
Test: [40/196] Time 0.373 (0.208) Loss 2.3255 (2.5855) Prec@1 51.953 (43.769) Prec@5 73.047 (68.674)
Test: [50/196] Time 0.061 (0.195) Loss 2.6236 (2.5836) Prec@1 46.875 (43.773) Prec@5 69.922 (68.857)
Test: [60/196] Time 0.043 (0.192) Loss 2.4810 (2.5693) Prec@1 47.656 (43.993) Prec@5 70.312 (68.949)
Test: [70/196] Time 0.112 (0.191) Loss 2.4594 (2.5631) Prec@1 48.438 (44.009) Prec@5 67.188 (68.987)
Test: [80/196] Time 0.255 (0.189) Loss 2.4392 (2.5699) Prec@1 50.000 (43.914) Prec@5 74.609 (68.977)
Test: [90/196] Time 0.042 (0.189) Loss 2.6891 (2.5715) Prec@1 45.312 (43.913) Prec@5 65.625 (68.978)
Test: [100/196] Time 0.042 (0.190) Loss 2.5980 (2.5682) Prec@1 45.312 (44.075) Prec@5 67.578 (69.059)
Test: [110/196] Time 0.044 (0.183) Loss 2.7726 (2.5690) Prec@1 40.234 (44.120) Prec@5 65.234 (69.084)
Test: [120/196] Time 0.394 (0.185) Loss 2.3662 (2.5645) Prec@1 45.703 (44.241) Prec@5 71.094 (69.170)
Test: [130/196] Time 0.045 (0.184) Loss 2.3411 (2.5611) Prec@1 47.656 (44.263) Prec@5 72.266 (69.230)
Test: [140/196] Time 0.311 (0.186) Loss 2.3756 (2.5630) Prec@1 48.828 (44.274) Prec@5 69.141 (69.163)
Test: [150/196] Time 0.622 (0.185) Loss 2.1883 (2.5620) Prec@1 50.000 (44.329) Prec@5 77.734 (69.166)
Test: [160/196] Time 0.044 (0.185) Loss 2.4811 (2.5599) Prec@1 46.875 (44.347) Prec@5 69.531 (69.201)
Test: [170/196] Time 0.044 (0.182) Loss 2.4283 (2.5634) Prec@1 46.094 (44.303) Prec@5 74.219 (69.195)
Test: [180/196] Time 0.043 (0.181) Loss 2.7168 (2.5682) Prec@1 43.359 (44.216) Prec@5 69.531 (69.097)
Test: [190/196] Time 0.218 (0.182) Loss 2.7904 (2.5718) Prec@1 43.359 (44.177) Prec@5 62.500 (68.965)
* Prec@1 44.182 Prec@5 68.998
Learning rate: 1e-05
Epoch: [62][0/5005] Time 1.161 (1.161) Data 1.071 (1.071) Loss 2.1644 (2.1644) Prec@1 48.828 (48.828) Prec@5 73.047 (73.047)
Epoch: [62][10/5005] Time 0.215 (0.292) Data 0.044 (0.139) Loss 2.3073 (2.2679) Prec@1 51.172 (46.804) Prec@5 73.438 (73.438)
Epoch: [62][20/5005] Time 0.199 (0.250) Data 0.043 (0.096) Loss 2.2698 (2.2809) Prec@1 47.266 (47.061) Prec@5 72.656 (73.326)
Epoch: [62][30/5005] Time 0.194 (0.235) Data 0.043 (0.079) Loss 2.1213 (2.2457) Prec@1 50.000 (47.782) Prec@5 78.906 (73.816)
Epoch: [62][40/5005] Time 0.205 (0.227) Data 0.044 (0.071) Loss 2.0584 (2.2507) Prec@1 50.391 (47.780) Prec@5 79.297 (73.809)
Epoch: [62][50/5005] Time 0.215 (0.223) Data 0.044 (0.066) Loss 2.1360 (2.2465) Prec@1 48.828 (47.863) Prec@5 76.953 (73.721)
Epoch: [62][60/5005] Time 0.203 (0.220) Data 0.042 (0.063) Loss 2.2846 (2.2495) Prec@1 48.438 (47.816) Prec@5 75.781 (73.783)
Epoch: [62][70/5005] Time 0.207 (0.218) Data 0.043 (0.060) Loss 2.3169 (2.2625) Prec@1 46.484 (47.645) Prec@5 69.531 (73.553)
Epoch: [62][80/5005] Time 0.207 (0.216) Data 0.042 (0.058) Loss 2.2001 (2.2595) Prec@1 50.391 (47.786) Prec@5 76.953 (73.592)
Epoch: [62][90/5005] Time 0.201 (0.214) Data 0.043 (0.057) Loss 2.3353 (2.2584) Prec@1 46.484 (47.897) Prec@5 73.438 (73.601)
Epoch: [62][100/5005] Time 0.200 (0.213) Data 0.041 (0.056) Loss 2.0065 (2.2597) Prec@1 49.219 (47.904) Prec@5 79.297 (73.472)
Epoch: [62][110/5005] Time 0.197 (0.212) Data 0.046 (0.055) Loss 2.2376 (2.2607) Prec@1 51.953 (47.959) Prec@5 73.047 (73.455)
Epoch: [62][120/5005] Time 0.207 (0.211) Data 0.043 (0.054) Loss 2.4305 (2.2646) Prec@1 44.922 (47.915) Prec@5 69.531 (73.386)
Epoch: [62][130/5005] Time 0.198 (0.211) Data 0.040 (0.054) Loss 2.4593 (2.2680) Prec@1 46.484 (47.922) Prec@5 70.312 (73.321)
Epoch: [62][140/5005] Time 0.205 (0.210) Data 0.043 (0.053) Loss 2.2619 (2.2635) Prec@1 45.312 (47.950) Prec@5 73.047 (73.413)
Epoch: [62][150/5005] Time 0.193 (0.210) Data 0.049 (0.052) Loss 2.4045 (2.2652) Prec@1 48.438 (47.959) Prec@5 68.750 (73.368)
Epoch: [62][160/5005] Time 0.200 (0.209) Data 0.040 (0.052) Loss 2.1570 (2.2653) Prec@1 51.172 (47.940) Prec@5 72.266 (73.328)
Epoch: [62][170/5005] Time 0.220 (0.209) Data 0.044 (0.051) Loss 2.1547 (2.2670) Prec@1 48.438 (47.924) Prec@5 74.609 (73.278)
Epoch: [62][180/5005] Time 0.218 (0.210) Data 0.043 (0.051) Loss 2.5308 (2.2668) Prec@1 47.656 (47.945) Prec@5 67.188 (73.252)
Epoch: [62][190/5005] Time 0.221 (0.211) Data 0.042 (0.051) Loss 2.4620 (2.2703) Prec@1 46.094 (47.916) Prec@5 67.969 (73.190)
Epoch: [62][200/5005] Time 0.222 (0.211) Data 0.044 (0.050) Loss 2.5234 (2.2720) Prec@1 42.188 (47.884) Prec@5 71.094 (73.185)
Epoch: [62][210/5005] Time 0.218 (0.212) Data 0.044 (0.050) Loss 2.0721 (2.2705) Prec@1 52.734 (47.856) Prec@5 76.172 (73.230)
Epoch: [62][220/5005] Time 0.213 (0.212) Data 0.050 (0.050) Loss 2.3374 (2.2717) Prec@1 46.875 (47.799) Prec@5 71.484 (73.229)
Epoch: [62][230/5005] Time 0.216 (0.212) Data 0.057 (0.050) Loss 2.2841 (2.2707) Prec@1 48.438 (47.857) Prec@5 73.828 (73.285)
Epoch: [62][240/5005] Time 0.215 (0.212) Data 0.043 (0.050) Loss 2.1724 (2.2700) Prec@1 49.219 (47.848) Prec@5 75.000 (73.269)
Epoch: [62][250/5005] Time 0.212 (0.213) Data 0.057 (0.050) Loss 2.2987 (2.2688) Prec@1 48.438 (47.883) Prec@5 71.875 (73.290)
Epoch: [62][260/5005] Time 0.207 (0.213) Data 0.061 (0.050) Loss 2.0867 (2.2682) Prec@1 46.484 (47.902) Prec@5 76.172 (73.295)
Epoch: [62][270/5005] Time 0.222 (0.213) Data 0.043 (0.050) Loss 2.3022 (2.2673) Prec@1 51.172 (47.945) Prec@5 74.219 (73.306)
Epoch: [62][280/5005] Time 0.225 (0.213) Data 0.041 (0.049) Loss 2.6325 (2.2698) Prec@1 44.141 (47.941) Prec@5 67.188 (73.282)
Epoch: [62][290/5005] Time 0.212 (0.213) Data 0.048 (0.049) Loss 2.0586 (2.2711) Prec@1 49.609 (47.926) Prec@5 76.172 (73.251)
Epoch: [62][300/5005] Time 0.215 (0.213) Data 0.049 (0.049) Loss 2.1433 (2.2712) Prec@1 50.000 (47.937) Prec@5 75.391 (73.238)
Epoch: [62][310/5005] Time 0.216 (0.213) Data 0.042 (0.049) Loss 2.2220 (2.2686) Prec@1 48.047 (48.013) Prec@5 76.953 (73.292)
Epoch: [62][320/5005] Time 0.223 (0.214) Data 0.047 (0.049) Loss 2.4741 (2.2690) Prec@1 44.531 (48.032) Prec@5 71.484 (73.336)
Epoch: [62][330/5005] Time 0.215 (0.214) Data 0.048 (0.049) Loss 1.9844 (2.2676) Prec@1 51.562 (48.054) Prec@5 81.641 (73.387)
Epoch: [62][340/5005] Time 0.219 (0.214) Data 0.049 (0.049) Loss 2.4807 (2.2710) Prec@1 41.797 (48.004) Prec@5 68.750 (73.303)
Epoch: [62][350/5005] Time 0.212 (0.214) Data 0.047 (0.049) Loss 2.4938 (2.2709) Prec@1 42.578 (47.987) Prec@5 68.750 (73.324)
Epoch: [62][360/5005] Time 0.211 (0.214) Data 0.047 (0.049) Loss 2.4265 (2.2716) Prec@1 41.797 (47.981) Prec@5 68.750 (73.293)
Epoch: [62][370/5005] Time 0.228 (0.214) Data 0.050 (0.049) Loss 2.3401 (2.2711) Prec@1 47.656 (47.965) Prec@5 71.484 (73.310)
Epoch: [62][380/5005] Time 0.214 (0.214) Data 0.050 (0.049) Loss 2.3641 (2.2707) Prec@1 48.047 (47.984) Prec@5 70.703 (73.282)
Epoch: [62][390/5005] Time 0.222 (0.214) Data 0.043 (0.049) Loss 2.2764 (2.2716) Prec@1 47.266 (47.948) Prec@5 73.047 (73.260)
Epoch: [62][400/5005] Time 0.224 (0.214) Data 0.051 (0.049) Loss 2.1517 (2.2704) Prec@1 52.734 (47.995) Prec@5 76.953 (73.264)
Epoch: [62][410/5005] Time 0.219 (0.214) Data 0.047 (0.049) Loss 2.1871 (2.2699) Prec@1 47.266 (47.979) Prec@5 74.609 (73.280)
Epoch: [62][420/5005] Time 0.217 (0.214) Data 0.047 (0.049) Loss 2.2441 (2.2697) Prec@1 49.219 (47.987) Prec@5 74.219 (73.288)
Epoch: [62][430/5005] Time 0.202 (0.214) Data 0.047 (0.049) Loss 2.1783 (2.2693) Prec@1 52.734 (48.010) Prec@5 75.781 (73.305)
Epoch: [62][440/5005] Time 0.212 (0.214) Data 0.043 (0.049) Loss 2.1348 (2.2688) Prec@1 51.953 (48.000) Prec@5 75.391 (73.296)
Epoch: [62][450/5005] Time 0.217 (0.214) Data 0.043 (0.049) Loss 2.0776 (2.2696) Prec@1 51.953 (47.988) Prec@5 76.172 (73.279)
Epoch: [62][460/5005] Time 0.206 (0.214) Data 0.052 (0.049) Loss 2.2521 (2.2702) Prec@1 44.922 (48.006) Prec@5 71.484 (73.267)
Epoch: [62][470/5005] Time 0.212 (0.214) Data 0.053 (0.049) Loss 2.2701 (2.2710) Prec@1 47.656 (48.018) Prec@5 73.047 (73.243)
Epoch: [62][480/5005] Time 0.214 (0.214) Data 0.050 (0.049) Loss 2.3390 (2.2715) Prec@1 47.656 (48.013) Prec@5 72.656 (73.226)
Epoch: [62][490/5005] Time 0.212 (0.214) Data 0.061 (0.050) Loss 2.1914 (2.2724) Prec@1 51.953 (47.990) Prec@5 72.656 (73.217)
Epoch: [62][500/5005] Time 0.213 (0.214) Data 0.054 (0.050) Loss 2.3300 (2.2738) Prec@1 46.484 (47.971) Prec@5 74.219 (73.186)
Epoch: [62][510/5005] Time 0.222 (0.214) Data 0.050 (0.050) Loss 2.5601 (2.2744) Prec@1 45.703 (47.951) Prec@5 68.750 (73.190)
Epoch: [62][520/5005] Time 0.215 (0.214) Data 0.051 (0.050) Loss 2.3044 (2.2741) Prec@1 44.922 (47.956) Prec@5 73.047 (73.203)
Epoch: [62][530/5005] Time 0.213 (0.214) Data 0.044 (0.049) Loss 2.2079 (2.2744) Prec@1 48.828 (47.970) Prec@5 70.703 (73.186)
Epoch: [62][540/5005] Time 0.218 (0.214) Data 0.049 (0.049) Loss 2.4397 (2.2754) Prec@1 47.656 (47.952) Prec@5 69.141 (73.176)
Epoch: [62][550/5005] Time 0.222 (0.214) Data 0.047 (0.049) Loss 2.2328 (2.2750) Prec@1 46.484 (47.971) Prec@5 74.219 (73.182)
Epoch: [62][560/5005] Time 0.218 (0.214) Data 0.044 (0.049) Loss 2.4013 (2.2747) Prec@1 44.141 (47.972) Prec@5 71.094 (73.201)
Epoch: [62][570/5005] Time 0.210 (0.214) Data 0.048 (0.049) Loss 2.4091 (2.2755) Prec@1 46.875 (47.961) Prec@5 70.703 (73.201)
Epoch: [62][580/5005] Time 0.210 (0.214) Data 0.060 (0.049) Loss 2.2796 (2.2748) Prec@1 47.266 (47.962) Prec@5 71.484 (73.213)
Epoch: [62][590/5005] Time 0.217 (0.214) Data 0.052 (0.049) Loss 2.4299 (2.2753) Prec@1 43.359 (47.962) Prec@5 71.875 (73.201)
Epoch: [62][600/5005] Time 0.212 (0.214) Data 0.045 (0.049) Loss 2.2767 (2.2768) Prec@1 46.484 (47.920) Prec@5 75.781 (73.186)
Epoch: [62][610/5005] Time 0.202 (0.214) Data 0.057 (0.049) Loss 2.1814 (2.2762) Prec@1 46.094 (47.920) Prec@5 77.734 (73.221)
Epoch: [62][620/5005] Time 0.216 (0.214) Data 0.044 (0.049) Loss 2.2633 (2.2763) Prec@1 51.953 (47.931) Prec@5 73.438 (73.222)
Epoch: [62][630/5005] Time 0.207 (0.214) Data 0.040 (0.049) Loss 2.4477 (2.2759) Prec@1 42.188 (47.930) Prec@5 68.750 (73.238)
Epoch: [62][640/5005] Time 0.213 (0.214) Data 0.042 (0.049) Loss 2.2598 (2.2757) Prec@1 46.875 (47.943) Prec@5 73.438 (73.224)
Epoch: [62][650/5005] Time 0.201 (0.214) Data 0.060 (0.049) Loss 2.2818 (2.2768) Prec@1 44.922 (47.918) Prec@5 73.047 (73.188)
Epoch: [62][660/5005] Time 0.223 (0.214) Data 0.058 (0.049) Loss 2.4767 (2.2761) Prec@1 44.531 (47.940) Prec@5 71.484 (73.213)
Epoch: [62][670/5005] Time 0.205 (0.214) Data 0.040 (0.049) Loss 2.5117 (2.2764) Prec@1 46.875 (47.938) Prec@5 70.312 (73.213)
Epoch: [62][680/5005] Time 0.219 (0.214) Data 0.061 (0.049) Loss 2.2191 (2.2767) Prec@1 46.875 (47.926) Prec@5 75.391 (73.207)
Epoch: [62][690/5005] Time 0.221 (0.214) Data 0.044 (0.049) Loss 2.1668 (2.2764) Prec@1 51.172 (47.937) Prec@5 77.734 (73.211)
Epoch: [62][700/5005] Time 0.212 (0.214) Data 0.040 (0.049) Loss 2.2919 (2.2762) Prec@1 47.656 (47.926) Prec@5 72.656 (73.207)
Epoch: [62][710/5005] Time 0.209 (0.214) Data 0.047 (0.049) Loss 2.1799 (2.2761) Prec@1 49.219 (47.911) Prec@5 75.000 (73.207)
Epoch: [62][720/5005] Time 0.212 (0.214) Data 0.042 (0.049) Loss 2.2273 (2.2755) Prec@1 44.922 (47.923) Prec@5 73.047 (73.215)
Epoch: [62][730/5005] Time 0.197 (0.214) Data 0.047 (0.049) Loss 2.3497 (2.2758) Prec@1 48.047 (47.934) Prec@5 71.875 (73.205)
Epoch: [62][740/5005] Time 0.217 (0.214) Data 0.043 (0.049) Loss 2.3834 (2.2754) Prec@1 50.000 (47.948) Prec@5 68.750 (73.197)
Epoch: [62][750/5005] Time 0.214 (0.214) Data 0.044 (0.049) Loss 2.0203 (2.2755) Prec@1 53.125 (47.946) Prec@5 76.953 (73.204)
Epoch: [62][760/5005] Time 0.215 (0.214) Data 0.044 (0.049) Loss 2.2476 (2.2756) Prec@1 49.219 (47.943) Prec@5 73.438 (73.206)
Epoch: [62][770/5005] Time 0.215 (0.214) Data 0.044 (0.049) Loss 2.1783 (2.2744) Prec@1 49.219 (47.966) Prec@5 75.391 (73.228)
Epoch: [62][780/5005] Time 0.210 (0.214) Data 0.057 (0.049) Loss 2.2882 (2.2740) Prec@1 45.703 (47.963) Prec@5 69.922 (73.221)
Epoch: [62][790/5005] Time 0.208 (0.214) Data 0.059 (0.049) Loss 2.3357 (2.2738) Prec@1 46.875 (47.971) Prec@5 70.703 (73.234)
Epoch: [62][800/5005] Time 0.205 (0.214) Data 0.059 (0.049) Loss 2.0950 (2.2728) Prec@1 51.562 (47.994) Prec@5 75.391 (73.242)
Epoch: [62][810/5005] Time 0.207 (0.214) Data 0.050 (0.049) Loss 2.3245 (2.2731) Prec@1 43.359 (47.984) Prec@5 69.531 (73.237)
Epoch: [62][820/5005] Time 0.210 (0.214) Data 0.046 (0.049) Loss 2.4646 (2.2732) Prec@1 44.922 (47.982) Prec@5 69.922 (73.236)
Epoch: [62][830/5005] Time 0.206 (0.214) Data 0.046 (0.049) Loss 2.2909 (2.2733) Prec@1 49.609 (47.977) Prec@5 71.094 (73.227)
Epoch: [62][840/5005] Time 0.210 (0.214) Data 0.045 (0.049) Loss 2.1981 (2.2732) Prec@1 47.656 (47.984) Prec@5 74.609 (73.235)
Epoch: [62][850/5005] Time 0.201 (0.214) Data 0.045 (0.049) Loss 2.4824 (2.2729) Prec@1 45.703 (47.995) Prec@5 73.828 (73.257)
Epoch: [62][860/5005] Time 0.210 (0.213) Data 0.045 (0.049) Loss 2.2501 (2.2731) Prec@1 46.094 (48.009) Prec@5 70.703 (73.251)
Epoch: [62][870/5005] Time 0.204 (0.213) Data 0.048 (0.049) Loss 2.2641 (2.2727) Prec@1 44.531 (48.010) Prec@5 75.781 (73.267)
Epoch: [62][880/5005] Time 0.215 (0.213) Data 0.043 (0.049) Loss 2.2779 (2.2731) Prec@1 45.703 (47.980) Prec@5 71.484 (73.258)
Epoch: [62][890/5005] Time 0.215 (0.213) Data 0.043 (0.048) Loss 2.6646 (2.2728) Prec@1 39.453 (47.965) Prec@5 66.797 (73.272)
Epoch: [62][900/5005] Time 0.217 (0.213) Data 0.044 (0.048) Loss 2.1546 (2.2724) Prec@1 48.047 (47.968) Prec@5 76.953 (73.277)
Epoch: [62][910/5005] Time 0.216 (0.213) Data 0.045 (0.048) Loss 2.1871 (2.2723) Prec@1 48.047 (47.968) Prec@5 74.219 (73.272)
Epoch: [62][920/5005] Time 0.215 (0.213) Data 0.042 (0.048) Loss 2.2733 (2.2718) Prec@1 49.219 (47.988) Prec@5 72.656 (73.278)
Epoch: [62][930/5005] Time 0.216 (0.213) Data 0.042 (0.048) Loss 2.2013 (2.2714) Prec@1 51.172 (48.004) Prec@5 71.484 (73.286)
Epoch: [62][940/5005] Time 0.195 (0.213) Data 0.041 (0.048) Loss 2.1114 (2.2715) Prec@1 50.781 (47.997) Prec@5 77.344 (73.289)
Epoch: [62][950/5005] Time 0.214 (0.213) Data 0.042 (0.048) Loss 2.4129 (2.2721) Prec@1 47.656 (47.996) Prec@5 73.438 (73.289)
Epoch: [62][960/5005] Time 0.213 (0.213) Data 0.045 (0.048) Loss 2.5689 (2.2725) Prec@1 44.922 (47.997) Prec@5 69.922 (73.284)
Epoch: [62][970/5005] Time 0.217 (0.213) Data 0.042 (0.048) Loss 2.1166 (2.2724) Prec@1 51.562 (47.994) Prec@5 75.391 (73.283)
Epoch: [62][980/5005] Time 0.214 (0.213) Data 0.043 (0.048) Loss 2.1921 (2.2718) Prec@1 51.172 (48.016) Prec@5 75.000 (73.289)
Epoch: [62][990/5005] Time 0.217 (0.213) Data 0.047 (0.048) Loss 2.2857 (2.2723) Prec@1 46.484 (47.993) Prec@5 74.609 (73.279)
Epoch: [62][1000/5005] Time 0.208 (0.213) Data 0.037 (0.048) Loss 2.2134 (2.2720) Prec@1 50.000 (48.000) Prec@5 76.562 (73.285)
Epoch: [62][1010/5005] Time 0.214 (0.213) Data 0.043 (0.048) Loss 2.2387 (2.2717) Prec@1 50.391 (48.005) Prec@5 75.000 (73.286)
Epoch: [62][1020/5005] Time 0.211 (0.213) Data 0.042 (0.048) Loss 2.0917 (2.2724) Prec@1 50.781 (47.988) Prec@5 78.516 (73.275)
Epoch: [62][1030/5005] Time 0.227 (0.213) Data 0.047 (0.048) Loss 2.1044 (2.2720) Prec@1 47.656 (47.994) Prec@5 76.953 (73.278)
Epoch: [62][1040/5005] Time 0.203 (0.215) Data 0.048 (0.048) Loss 2.2776 (2.2717) Prec@1 50.000 (48.001) Prec@5 75.391 (73.283)
Epoch: [62][1050/5005] Time 0.202 (0.215) Data 0.045 (0.048) Loss 2.3510 (2.2714) Prec@1 46.094 (48.007) Prec@5 70.703 (73.283)
Epoch: [62][1060/5005] Time 0.210 (0.215) Data 0.044 (0.048) Loss 2.3554 (2.2717) Prec@1 47.266 (48.008) Prec@5 71.094 (73.283)
Epoch: [62][1070/5005] Time 0.210 (0.214) Data 0.044 (0.048) Loss 2.2808 (2.2717) Prec@1 46.484 (48.008) Prec@5 73.047 (73.278)
Epoch: [62][1080/5005] Time 0.205 (0.214) Data 0.039 (0.048) Loss 2.3811 (2.2718) Prec@1 42.188 (48.006) Prec@5 73.047 (73.280)
Epoch: [62][1090/5005] Time 0.211 (0.214) Data 0.043 (0.048) Loss 2.2210 (2.2717) Prec@1 49.219 (48.011) Prec@5 73.828 (73.275)
Epoch: [62][1100/5005] Time 0.212 (0.214) Data 0.044 (0.048) Loss 2.2601 (2.2710) Prec@1 50.391 (48.025) Prec@5 73.047 (73.287)
Epoch: [62][1110/5005] Time 0.215 (0.214) Data 0.043 (0.048) Loss 2.3207 (2.2710) Prec@1 48.047 (48.026) Prec@5 72.656 (73.285)
Epoch: [62][1120/5005] Time 0.214 (0.214) Data 0.052 (0.048) Loss 2.2164 (2.2701) Prec@1 47.266 (48.039) Prec@5 75.781 (73.302)
Epoch: [62][1130/5005] Time 0.218 (0.214) Data 0.049 (0.048) Loss 2.5052 (2.2705) Prec@1 43.359 (48.028) Prec@5 71.875 (73.294)
Epoch: [62][1140/5005] Time 0.196 (0.214) Data 0.048 (0.048) Loss 2.2371 (2.2701) Prec@1 50.000 (48.026) Prec@5 75.391 (73.297)
Epoch: [62][1150/5005] Time 0.212 (0.214) Data 0.042 (0.048) Loss 2.2635 (2.2696) Prec@1 47.266 (48.035) Prec@5 70.312 (73.308)
Epoch: [62][1160/5005] Time 0.216 (0.214) Data 0.054 (0.048) Loss 2.3023 (2.2696) Prec@1 51.562 (48.037) Prec@5 70.312 (73.309)
Epoch: [62][1170/5005] Time 0.213 (0.214) Data 0.042 (0.048) Loss 2.2940 (2.2696) Prec@1 46.094 (48.040) Prec@5 69.922 (73.303)
Epoch: [62][1180/5005] Time 0.205 (0.214) Data 0.045 (0.048) Loss 2.2685 (2.2696) Prec@1 47.266 (48.032) Prec@5 73.828 (73.299)
Epoch: [62][1190/5005] Time 0.217 (0.214) Data 0.045 (0.048) Loss 2.0763 (2.2695) Prec@1 48.828 (48.030) Prec@5 76.172 (73.299)
Epoch: [62][1200/5005] Time 0.200 (0.214) Data 0.051 (0.048) Loss 2.4115 (2.2694) Prec@1 46.875 (48.032) Prec@5 71.094 (73.294)
Epoch: [62][1210/5005] Time 0.208 (0.214) Data 0.044 (0.048) Loss 2.2904 (2.2700) Prec@1 49.609 (48.028) Prec@5 75.000 (73.282)
Epoch: [62][1220/5005] Time 0.208 (0.214) Data 0.041 (0.048) Loss 2.1424 (2.2702) Prec@1 50.000 (48.030) Prec@5 77.344 (73.279)
Epoch: [62][1230/5005] Time 0.214 (0.214) Data 0.046 (0.048) Loss 2.2354 (2.2702) Prec@1 48.438 (48.025) Prec@5 74.609 (73.281)
Epoch: [62][1240/5005] Time 0.206 (0.214) Data 0.054 (0.048) Loss 2.3188 (2.2705) Prec@1 50.781 (48.008) Prec@5 71.875 (73.274)
Epoch: [62][1250/5005] Time 0.214 (0.214) Data 0.064 (0.048) Loss 2.5588 (2.2710) Prec@1 42.578 (48.000) Prec@5 65.625 (73.260)
Epoch: [62][1260/5005] Time 0.208 (0.214) Data 0.044 (0.048) Loss 2.1577 (2.2707) Prec@1 46.484 (48.005) Prec@5 75.391 (73.270)
Epoch: [62][1270/5005] Time 0.228 (0.214) Data 0.047 (0.048) Loss 2.3079 (2.2711) Prec@1 45.312 (48.002) Prec@5 72.656 (73.260)
Epoch: [62][1280/5005] Time 0.215 (0.214) Data 0.046 (0.048) Loss 2.2799 (2.2714) Prec@1 49.609 (48.004) Prec@5 73.438 (73.254)
Epoch: [62][1290/5005] Time 0.210 (0.214) Data 0.045 (0.048) Loss 2.1210 (2.2715) Prec@1 48.047 (48.000) Prec@5 78.906 (73.248)
Epoch: [62][1300/5005] Time 0.213 (0.214) Data 0.047 (0.048) Loss 2.1833 (2.2716) Prec@1 52.344 (48.007) Prec@5 73.047 (73.241)
Epoch: [62][1310/5005] Time 0.216 (0.214) Data 0.043 (0.048) Loss 2.2774 (2.2714) Prec@1 49.609 (48.012) Prec@5 76.172 (73.254)
Epoch: [62][1320/5005] Time 0.215 (0.214) Data 0.043 (0.048) Loss 2.2950 (2.2711) Prec@1 48.438 (48.011) Prec@5 74.609 (73.260)
Epoch: [62][1330/5005] Time 0.217 (0.214) Data 0.043 (0.048) Loss 2.4089 (2.2714) Prec@1 43.359 (48.006) Prec@5 72.266 (73.256)
Epoch: [62][1340/5005] Time 0.216 (0.214) Data 0.056 (0.048) Loss 2.2040 (2.2712) Prec@1 47.656 (48.015) Prec@5 71.484 (73.258)
Epoch: [62][1350/5005] Time 0.207 (0.214) Data 0.043 (0.048) Loss 2.5388 (2.2714) Prec@1 41.797 (48.005) Prec@5 71.875 (73.259)
Epoch: [62][1360/5005] Time 0.208 (0.214) Data 0.041 (0.048) Loss 2.0832 (2.2710) Prec@1 55.078 (48.012) Prec@5 75.000 (73.262)
Epoch: [62][1370/5005] Time 0.202 (0.213) Data 0.058 (0.048) Loss 2.3395 (2.2704) Prec@1 46.875 (48.013) Prec@5 73.438 (73.273)
Epoch: [62][1380/5005] Time 0.221 (0.213) Data 0.060 (0.048) Loss 2.2547 (2.2704) Prec@1 50.391 (48.010) Prec@5 73.047 (73.275)
Epoch: [62][1390/5005] Time 0.210 (0.213) Data 0.044 (0.048) Loss 2.1423 (2.2702) Prec@1 49.609 (48.019) Prec@5 75.781 (73.279)
Epoch: [62][1400/5005] Time 0.211 (0.213) Data 0.044 (0.048) Loss 2.4349 (2.2696) Prec@1 46.484 (48.023) Prec@5 70.703 (73.291)
Epoch: [62][1410/5005] Time 0.208 (0.213) Data 0.041 (0.048) Loss 2.1509 (2.2695) Prec@1 55.469 (48.028) Prec@5 73.438 (73.282)
Epoch: [62][1420/5005] Time 0.217 (0.213) Data 0.043 (0.048) Loss 2.4437 (2.2695) Prec@1 42.578 (48.029) Prec@5 69.531 (73.282)
Epoch: [62][1430/5005] Time 0.200 (0.213) Data 0.058 (0.048) Loss 1.9598 (2.2692) Prec@1 51.172 (48.035) Prec@5 79.297 (73.283)
Epoch: [62][1440/5005] Time 0.209 (0.213) Data 0.057 (0.048) Loss 2.0386 (2.2690) Prec@1 55.078 (48.043) Prec@5 80.469 (73.284)
Epoch: [62][1450/5005] Time 0.205 (0.213) Data 0.045 (0.048) Loss 2.2731 (2.2690) Prec@1 50.000 (48.047) Prec@5 75.000 (73.273)
Epoch: [62][1460/5005] Time 0.207 (0.213) Data 0.046 (0.048) Loss 2.3667 (2.2691) Prec@1 40.625 (48.040) Prec@5 71.484 (73.273)
Epoch: [62][1470/5005] Time 0.197 (0.213) Data 0.057 (0.048) Loss 2.3138 (2.2694) Prec@1 48.047 (48.039) Prec@5 71.094 (73.267)
Epoch: [62][1480/5005] Time 0.220 (0.213) Data 0.043 (0.048) Loss 2.1573 (2.2696) Prec@1 52.734 (48.041) Prec@5 75.000 (73.260)
Epoch: [62][1490/5005] Time 0.205 (0.213) Data 0.056 (0.048) Loss 2.4646 (2.2693) Prec@1 43.750 (48.044) Prec@5 71.094 (73.265)
Epoch: [62][1500/5005] Time 0.207 (0.213) Data 0.052 (0.048) Loss 2.3212 (2.2694) Prec@1 48.047 (48.043) Prec@5 71.094 (73.273)
Epoch: [62][1510/5005] Time 0.205 (0.213) Data 0.057 (0.048) Loss 2.1532 (2.2692) Prec@1 50.391 (48.053) Prec@5 73.047 (73.269)
Epoch: [62][1520/5005] Time 0.216 (0.213) Data 0.044 (0.048) Loss 2.2955 (2.2688) Prec@1 44.922 (48.053) Prec@5 73.828 (73.275)
Epoch: [62][1530/5005] Time 0.214 (0.213) Data 0.046 (0.048) Loss 2.3204 (2.2687) Prec@1 47.656 (48.047) Prec@5 71.875 (73.272)
Epoch: [62][1540/5005] Time 0.218 (0.213) Data 0.044 (0.048) Loss 2.3375 (2.2689) Prec@1 47.266 (48.046) Prec@5 71.094 (73.265)
Epoch: [62][1550/5005] Time 0.216 (0.213) Data 0.043 (0.048) Loss 2.0875 (2.2686) Prec@1 53.906 (48.053) Prec@5 75.781 (73.269)
Epoch: [62][1560/5005] Time 0.215 (0.213) Data 0.044 (0.048) Loss 2.1923 (2.2687) Prec@1 48.438 (48.057) Prec@5 73.438 (73.263)
Epoch: [62][1570/5005] Time 0.214 (0.213) Data 0.044 (0.048) Loss 2.1156 (2.2680) Prec@1 51.172 (48.073) Prec@5 76.953 (73.280)
Epoch: [62][1580/5005] Time 0.210 (0.213) Data 0.043 (0.048) Loss 2.1588 (2.2683) Prec@1 48.047 (48.059) Prec@5 74.609 (73.275)
Epoch: [62][1590/5005] Time 0.209 (0.213) Data 0.040 (0.048) Loss 2.1770 (2.2684) Prec@1 47.656 (48.055) Prec@5 76.953 (73.273)
Epoch: [62][1600/5005] Time 0.213 (0.213) Data 0.044 (0.048) Loss 2.3326 (2.2685) Prec@1 46.094 (48.053) Prec@5 74.219 (73.269)
Epoch: [62][1610/5005] Time 0.211 (0.213) Data 0.042 (0.048) Loss 2.3358 (2.2684) Prec@1 47.656 (48.055) Prec@5 71.094 (73.268)
Epoch: [62][1620/5005] Time 0.216 (0.213) Data 0.043 (0.048) Loss 2.4467 (2.2683) Prec@1 45.703 (48.050) Prec@5 68.750 (73.267)
Epoch: [62][1630/5005] Time 0.209 (0.213) Data 0.056 (0.048) Loss 2.2106 (2.2682) Prec@1 47.656 (48.048) Prec@5 73.047 (73.264)
Epoch: [62][1640/5005] Time 0.222 (0.213) Data 0.050 (0.048) Loss 2.3465 (2.2685) Prec@1 51.172 (48.047) Prec@5 71.875 (73.259)
Epoch: [62][1650/5005] Time 0.214 (0.213) Data 0.043 (0.048) Loss 2.3463 (2.2684) Prec@1 49.609 (48.052) Prec@5 69.922 (73.258)
Epoch: [62][1660/5005] Time 0.199 (0.213) Data 0.062 (0.048) Loss 2.1282 (2.2679) Prec@1 53.125 (48.068) Prec@5 76.172 (73.263)
Epoch: [62][1670/5005] Time 0.212 (0.213) Data 0.044 (0.048) Loss 2.0472 (2.2679) Prec@1 50.781 (48.065) Prec@5 76.172 (73.265)
Epoch: [62][1680/5005] Time 0.209 (0.213) Data 0.041 (0.048) Loss 2.4059 (2.2681) Prec@1 47.656 (48.058) Prec@5 73.047 (73.259)
Epoch: [62][1690/5005] Time 0.212 (0.213) Data 0.043 (0.048) Loss 2.1220 (2.2677) Prec@1 50.781 (48.062) Prec@5 77.734 (73.263)
Epoch: [62][1700/5005] Time 0.205 (0.213) Data 0.048 (0.048) Loss 2.1473 (2.2671) Prec@1 50.000 (48.076) Prec@5 76.953 (73.270)
Epoch: [62][1710/5005] Time 0.205 (0.213) Data 0.040 (0.048) Loss 2.1676 (2.2667) Prec@1 48.828 (48.083) Prec@5 73.047 (73.275)
Epoch: [62][1720/5005] Time 0.220 (0.213) Data 0.045 (0.048) Loss 2.4273 (2.2669) Prec@1 44.922 (48.080) Prec@5 71.094 (73.269)
Epoch: [62][1730/5005] Time 0.215 (0.213) Data 0.043 (0.048) Loss 2.2836 (2.2667) Prec@1 46.484 (48.078) Prec@5 73.438 (73.277)
Epoch: [62][1740/5005] Time 0.207 (0.213) Data 0.044 (0.048) Loss 2.2364 (2.2662) Prec@1 46.875 (48.083) Prec@5 74.219 (73.283)
Epoch: [62][1750/5005] Time 0.213 (0.213) Data 0.041 (0.048) Loss 2.4152 (2.2661) Prec@1 44.141 (48.087) Prec@5 69.922 (73.283)
Epoch: [62][1760/5005] Time 0.218 (0.213) Data 0.048 (0.048) Loss 2.0140 (2.2659) Prec@1 53.516 (48.095) Prec@5 75.000 (73.287)
Epoch: [62][1770/5005] Time 0.206 (0.213) Data 0.044 (0.048) Loss 2.4300 (2.2658) Prec@1 44.922 (48.096) Prec@5 71.875 (73.291)
Epoch: [62][1780/5005] Time 0.210 (0.213) Data 0.043 (0.048) Loss 2.1632 (2.2658) Prec@1 48.828 (48.094) Prec@5 73.438 (73.292)
Epoch: [62][1790/5005] Time 0.204 (0.213) Data 0.042 (0.048) Loss 2.1214 (2.2655) Prec@1 53.906 (48.101) Prec@5 73.828 (73.296)
Epoch: [62][1800/5005] Time 0.202 (0.213) Data 0.040 (0.048) Loss 2.2972 (2.2654) Prec@1 44.922 (48.098) Prec@5 73.828 (73.302)
Epoch: [62][1810/5005] Time 0.209 (0.213) Data 0.043 (0.048) Loss 2.1520 (2.2653) Prec@1 53.906 (48.097) Prec@5 75.391 (73.304)
Epoch: [62][1820/5005] Time 0.206 (0.213) Data 0.059 (0.048) Loss 2.2374 (2.2652) Prec@1 49.219 (48.094) Prec@5 74.609 (73.310)
Epoch: [62][1830/5005] Time 0.211 (0.213) Data 0.044 (0.048) Loss 2.0743 (2.2649) Prec@1 51.172 (48.097) Prec@5 77.344 (73.315)
Epoch: [62][1840/5005] Time 0.201 (0.213) Data 0.054 (0.048) Loss 2.3722 (2.2649) Prec@1 43.359 (48.098) Prec@5 72.656 (73.314)
Epoch: [62][1850/5005] Time 0.205 (0.212) Data 0.049 (0.048) Loss 2.1432 (2.2646) Prec@1 49.219 (48.103) Prec@5 76.953 (73.325)
Epoch: [62][1860/5005] Time 0.213 (0.212) Data 0.045 (0.048) Loss 2.1668 (2.2647) Prec@1 50.781 (48.097) Prec@5 76.953 (73.325)
Epoch: [62][1870/5005] Time 0.210 (0.212) Data 0.044 (0.048) Loss 2.5390 (2.2651) Prec@1 43.359 (48.091) Prec@5 71.875 (73.320)
Epoch: [62][1880/5005] Time 0.205 (0.212) Data 0.043 (0.048) Loss 2.2976 (2.2654) Prec@1 48.047 (48.093) Prec@5 73.047 (73.312)
Epoch: [62][1890/5005] Time 0.201 (0.212) Data 0.044 (0.048) Loss 2.3434 (2.2654) Prec@1 46.875 (48.096) Prec@5 69.922 (73.307)
Epoch: [62][1900/5005] Time 0.206 (0.212) Data 0.044 (0.048) Loss 2.3424 (2.2659) Prec@1 49.609 (48.087) Prec@5 72.266 (73.300)
Epoch: [62][1910/5005] Time 0.211 (0.212) Data 0.042 (0.048) Loss 2.2630 (2.2658) Prec@1 42.969 (48.089) Prec@5 72.266 (73.295)
Epoch: [62][1920/5005] Time 0.217 (0.212) Data 0.042 (0.048) Loss 2.1416 (2.2656) Prec@1 51.172 (48.087) Prec@5 76.953 (73.299)
Epoch: [62][1930/5005] Time 0.211 (0.212) Data 0.042 (0.048) Loss 2.2077 (2.2656) Prec@1 48.828 (48.092) Prec@5 73.438 (73.305)
Epoch: [62][1940/5005] Time 0.209 (0.212) Data 0.042 (0.048) Loss 2.0406 (2.2649) Prec@1 56.641 (48.102) Prec@5 76.562 (73.317)
Epoch: [62][1950/5005] Time 0.205 (0.212) Data 0.044 (0.047) Loss 2.3089 (2.2647) Prec@1 44.531 (48.104) Prec@5 72.266 (73.322)
Epoch: [62][1960/5005] Time 0.203 (0.212) Data 0.058 (0.047) Loss 2.1895 (2.2643) Prec@1 48.047 (48.117) Prec@5 74.219 (73.332)
Epoch: [62][1970/5005] Time 0.199 (0.212) Data 0.057 (0.048) Loss 2.3351 (2.2645) Prec@1 47.266 (48.111) Prec@5 74.219 (73.326)
Epoch: [62][1980/5005] Time 0.202 (0.212) Data 0.043 (0.048) Loss 2.0853 (2.2646) Prec@1 50.391 (48.111) Prec@5 76.172 (73.326)
Epoch: [62][1990/5005] Time 0.208 (0.212) Data 0.045 (0.047) Loss 2.0993 (2.2645) Prec@1 50.391 (48.110) Prec@5 76.953 (73.326)
Epoch: [62][2000/5005] Time 0.201 (0.212) Data 0.039 (0.047) Loss 2.1256 (2.2646) Prec@1 51.172 (48.116) Prec@5 73.438 (73.325)
Epoch: [62][2010/5005] Time 0.199 (0.212) Data 0.058 (0.047) Loss 2.1027 (2.2647) Prec@1 50.000 (48.112) Prec@5 75.000 (73.322)
Epoch: [62][2020/5005] Time 0.222 (0.212) Data 0.042 (0.047) Loss 2.2002 (2.2648) Prec@1 51.562 (48.111) Prec@5 74.219 (73.321)
Epoch: [62][2030/5005] Time 0.207 (0.212) Data 0.044 (0.047) Loss 2.2028 (2.2650) Prec@1 47.266 (48.110) Prec@5 77.344 (73.320)
Epoch: [62][2040/5005] Time 0.213 (0.212) Data 0.054 (0.047) Loss 2.1084 (2.2646) Prec@1 52.344 (48.116) Prec@5 75.000 (73.326)
Epoch: [62][2050/5005] Time 0.208 (0.212) Data 0.042 (0.047) Loss 2.1962 (2.2644) Prec@1 53.125 (48.122) Prec@5 73.047 (73.332)
Epoch: [62][2060/5005] Time 0.209 (0.212) Data 0.044 (0.047) Loss 2.1615 (2.2643) Prec@1 47.656 (48.120) Prec@5 73.828 (73.335)
Epoch: [62][2070/5005] Time 0.212 (0.212) Data 0.045 (0.047) Loss 2.4991 (2.2645) Prec@1 41.406 (48.109) Prec@5 66.406 (73.327)
Epoch: [62][2080/5005] Time 0.212 (0.212) Data 0.044 (0.047) Loss 2.4340 (2.2647) Prec@1 46.484 (48.109) Prec@5 72.266 (73.323)
Epoch: [62][2090/5005] Time 0.214 (0.212) Data 0.043 (0.047) Loss 2.1395 (2.2643) Prec@1 53.906 (48.116) Prec@5 75.000 (73.327)
Epoch: [62][2100/5005] Time 0.209 (0.212) Data 0.054 (0.047) Loss 2.2780 (2.2642) Prec@1 46.484 (48.119) Prec@5 74.219 (73.329)
Epoch: [62][2110/5005] Time 0.217 (0.212) Data 0.044 (0.047) Loss 2.1530 (2.2643) Prec@1 48.828 (48.120) Prec@5 75.781 (73.326)
Epoch: [62][2120/5005] Time 0.209 (0.212) Data 0.046 (0.047) Loss 2.3859 (2.2640) Prec@1 43.750 (48.124) Prec@5 73.047 (73.334)
Epoch: [62][2130/5005] Time 0.225 (0.212) Data 0.045 (0.047) Loss 2.2633 (2.2636) Prec@1 48.438 (48.132) Prec@5 73.438 (73.345)
Epoch: [62][2140/5005] Time 0.203 (0.212) Data 0.068 (0.047) Loss 2.1818 (2.2635) Prec@1 50.781 (48.137) Prec@5 75.000 (73.346)
Epoch: [62][2150/5005] Time 0.210 (0.212) Data 0.047 (0.047) Loss 2.0699 (2.2635) Prec@1 49.609 (48.133) Prec@5 74.609 (73.347)
Epoch: [62][2160/5005] Time 0.207 (0.212) Data 0.048 (0.047) Loss 2.2635 (2.2635) Prec@1 46.875 (48.131) Prec@5 69.531 (73.347)
Epoch: [62][2170/5005] Time 0.204 (0.212) Data 0.040 (0.047) Loss 2.0627 (2.2632) Prec@1 50.391 (48.139) Prec@5 77.734 (73.356)
Epoch: [62][2180/5005] Time 0.204 (0.212) Data 0.050 (0.047) Loss 2.1935 (2.2632) Prec@1 50.781 (48.137) Prec@5 74.219 (73.355)
Epoch: [62][2190/5005] Time 0.207 (0.212) Data 0.047 (0.047) Loss 2.4935 (2.2633) Prec@1 45.312 (48.131) Prec@5 67.969 (73.358)
Epoch: [62][2200/5005] Time 0.204 (0.212) Data 0.046 (0.047) Loss 2.2575 (2.2635) Prec@1 49.219 (48.125) Prec@5 76.953 (73.359)
Epoch: [62][2210/5005] Time 0.215 (0.212) Data 0.043 (0.047) Loss 2.3168 (2.2638) Prec@1 46.094 (48.124) Prec@5 70.312 (73.350)
Epoch: [62][2220/5005] Time 0.193 (0.212) Data 0.058 (0.048) Loss 2.3228 (2.2637) Prec@1 47.266 (48.122) Prec@5 71.094 (73.350)
Epoch: [62][2230/5005] Time 0.199 (0.212) Data 0.052 (0.048) Loss 2.3088 (2.2637) Prec@1 49.219 (48.121) Prec@5 71.484 (73.353)
Epoch: [62][2240/5005] Time 0.194 (0.212) Data 0.049 (0.048) Loss 2.1650 (2.2637) Prec@1 49.219 (48.120) Prec@5 73.828 (73.354)
Epoch: [62][2250/5005] Time 0.213 (0.212) Data 0.054 (0.048) Loss 2.0411 (2.2638) Prec@1 50.000 (48.115) Prec@5 74.609 (73.352)
Epoch: [62][2260/5005] Time 0.211 (0.212) Data 0.047 (0.048) Loss 2.1364 (2.2633) Prec@1 49.609 (48.123) Prec@5 74.609 (73.356)
Epoch: [62][2270/5005] Time 0.200 (0.212) Data 0.057 (0.048) Loss 2.3391 (2.2632) Prec@1 42.578 (48.125) Prec@5 71.484 (73.356)
Epoch: [62][2280/5005] Time 0.202 (0.212) Data 0.066 (0.048) Loss 2.3410 (2.2632) Prec@1 48.438 (48.131) Prec@5 71.094 (73.357)
Epoch: [62][2290/5005] Time 0.205 (0.212) Data 0.047 (0.048) Loss 2.1368 (2.2633) Prec@1 50.781 (48.131) Prec@5 76.172 (73.357)
Epoch: [62][2300/5005] Time 0.208 (0.212) Data 0.044 (0.048) Loss 2.1991 (2.2630) Prec@1 48.047 (48.138) Prec@5 69.922 (73.360)
Epoch: [62][2310/5005] Time 0.216 (0.212) Data 0.042 (0.048) Loss 2.1694 (2.2629) Prec@1 48.828 (48.147) Prec@5 73.438 (73.361)
Epoch: [62][2320/5005] Time 0.208 (0.212) Data 0.046 (0.048) Loss 2.3415 (2.2628) Prec@1 47.266 (48.154) Prec@5 72.266 (73.361)
Epoch: [62][2330/5005] Time 0.216 (0.212) Data 0.042 (0.048) Loss 2.1330 (2.2627) Prec@1 51.172 (48.158) Prec@5 76.562 (73.363)
Epoch: [62][2340/5005] Time 0.199 (0.212) Data 0.044 (0.048) Loss 2.2583 (2.2624) Prec@1 42.969 (48.158) Prec@5 73.047 (73.366)
Epoch: [62][2350/5005] Time 0.217 (0.212) Data 0.046 (0.048) Loss 2.2116 (2.2621) Prec@1 48.438 (48.164) Prec@5 73.047 (73.371)
Epoch: [62][2360/5005] Time 0.210 (0.212) Data 0.044 (0.048) Loss 2.2418 (2.2622) Prec@1 49.219 (48.162) Prec@5 73.047 (73.367)
Epoch: [62][2370/5005] Time 0.211 (0.212) Data 0.052 (0.048) Loss 2.3370 (2.2622) Prec@1 43.359 (48.164) Prec@5 73.047 (73.369)
Epoch: [62][2380/5005] Time 0.208 (0.212) Data 0.046 (0.048) Loss 2.2143 (2.2619) Prec@1 52.734 (48.173) Prec@5 73.047 (73.373)
Epoch: [62][2390/5005] Time 0.212 (0.212) Data 0.046 (0.048) Loss 2.2662 (2.2617) Prec@1 46.484 (48.180) Prec@5 71.875 (73.376)
Epoch: [62][2400/5005] Time 0.209 (0.212) Data 0.047 (0.048) Loss 2.1669 (2.2616) Prec@1 49.219 (48.178) Prec@5 75.391 (73.378)
Epoch: [62][2410/5005] Time 0.206 (0.212) Data 0.054 (0.048) Loss 2.3442 (2.2616) Prec@1 48.828 (48.180) Prec@5 71.875 (73.380)
Epoch: [62][2420/5005] Time 0.219 (0.212) Data 0.047 (0.048) Loss 2.2723 (2.2613) Prec@1 47.266 (48.185) Prec@5 74.609 (73.386)
Epoch: [62][2430/5005] Time 0.196 (0.212) Data 0.048 (0.048) Loss 2.1788 (2.2614) Prec@1 47.656 (48.179) Prec@5 75.000 (73.380)
Epoch: [62][2440/5005] Time 0.212 (0.212) Data 0.048 (0.048) Loss 2.0394 (2.2613) Prec@1 54.688 (48.187) Prec@5 77.344 (73.379)
Epoch: [62][2450/5005] Time 0.205 (0.212) Data 0.064 (0.048) Loss 2.1157 (2.2610) Prec@1 48.047 (48.192) Prec@5 75.781 (73.382)
Epoch: [62][2460/5005] Time 0.208 (0.211) Data 0.045 (0.048) Loss 2.3379 (2.2608) Prec@1 48.438 (48.198) Prec@5 71.094 (73.383)
Epoch: [62][2470/5005] Time 0.210 (0.211) Data 0.057 (0.048) Loss 2.1154 (2.2606) Prec@1 45.703 (48.198) Prec@5 74.219 (73.386)
Epoch: [62][2480/5005] Time 0.196 (0.211) Data 0.050 (0.048) Loss 2.3150 (2.2606) Prec@1 47.266 (48.193) Prec@5 72.266 (73.386)
Epoch: [62][2490/5005] Time 0.198 (0.211) Data 0.061 (0.048) Loss 2.1690 (2.2606) Prec@1 53.906 (48.193) Prec@5 75.391 (73.388)
Epoch: [62][2500/5005] Time 0.198 (0.211) Data 0.050 (0.048) Loss 2.2570 (2.2605) Prec@1 48.828 (48.191) Prec@5 71.484 (73.387)
Epoch: [62][2510/5005] Time 0.208 (0.211) Data 0.046 (0.048) Loss 2.4302 (2.2607) Prec@1 46.094 (48.185) Prec@5 71.094 (73.387)
Epoch: [62][2520/5005] Time 0.207 (0.211) Data 0.051 (0.048) Loss 2.2311 (2.2607) Prec@1 49.609 (48.184) Prec@5 76.172 (73.389)
Epoch: [62][2530/5005] Time 0.209 (0.211) Data 0.042 (0.048) Loss 2.3839 (2.2607) Prec@1 43.359 (48.183) Prec@5 72.266 (73.390)
Epoch: [62][2540/5005] Time 0.206 (0.211) Data 0.042 (0.048) Loss 2.2890 (2.2606) Prec@1 47.266 (48.190) Prec@5 70.312 (73.389)
Epoch: [62][2550/5005] Time 0.208 (0.211) Data 0.048 (0.048) Loss 2.2967 (2.2606) Prec@1 46.875 (48.194) Prec@5 74.609 (73.391)
Epoch: [62][2560/5005] Time 0.208 (0.211) Data 0.043 (0.048) Loss 2.4231 (2.2606) Prec@1 47.266 (48.193) Prec@5 71.094 (73.393)
Epoch: [62][2570/5005] Time 0.210 (0.211) Data 0.044 (0.048) Loss 2.2088 (2.2606) Prec@1 50.391 (48.191) Prec@5 76.562 (73.392)
Epoch: [62][2580/5005] Time 0.206 (0.211) Data 0.041 (0.048) Loss 2.3932 (2.2608) Prec@1 47.266 (48.188) Prec@5 69.922 (73.388)
Epoch: [62][2590/5005] Time 0.210 (0.211) Data 0.044 (0.048) Loss 2.4182 (2.2607) Prec@1 43.750 (48.189) Prec@5 69.141 (73.388)
Epoch: [62][2600/5005] Time 0.213 (0.211) Data 0.043 (0.048) Loss 2.4529 (2.2610) Prec@1 46.094 (48.187) Prec@5 73.438 (73.386)
Epoch: [62][2610/5005] Time 0.212 (0.211) Data 0.041 (0.048) Loss 2.3923 (2.2608) Prec@1 46.484 (48.192) Prec@5 69.141 (73.389)
Epoch: [62][2620/5005] Time 0.207 (0.211) Data 0.051 (0.048) Loss 2.2367 (2.2609) Prec@1 47.656 (48.190) Prec@5 69.531 (73.388)
Epoch: [62][2630/5005] Time 0.206 (0.211) Data 0.043 (0.048) Loss 2.4398 (2.2611) Prec@1 45.703 (48.186) Prec@5 70.703 (73.384)
Epoch: [62][2640/5005] Time 0.208 (0.211) Data 0.044 (0.048) Loss 2.4494 (2.2611) Prec@1 43.359 (48.186) Prec@5 67.578 (73.384)
Epoch: [62][2650/5005] Time 0.212 (0.211) Data 0.042 (0.048) Loss 2.3994 (2.2611) Prec@1 44.141 (48.187) Prec@5 69.531 (73.383)
Epoch: [62][2660/5005] Time 0.215 (0.211) Data 0.051 (0.048) Loss 2.1579 (2.2612) Prec@1 46.875 (48.183) Prec@5 77.344 (73.382)
Epoch: [62][2670/5005] Time 0.203 (0.211) Data 0.056 (0.048) Loss 1.9824 (2.2610) Prec@1 49.609 (48.190) Prec@5 78.516 (73.382)
Epoch: [62][2680/5005] Time 0.209 (0.211) Data 0.043 (0.048) Loss 2.1380 (2.2610) Prec@1 52.734 (48.190) Prec@5 75.000 (73.381)
Epoch: [62][2690/5005] Time 0.216 (0.211) Data 0.047 (0.048) Loss 2.1865 (2.2608) Prec@1 52.734 (48.193) Prec@5 72.656 (73.382)
Epoch: [62][2700/5005] Time 0.205 (0.211) Data 0.050 (0.048) Loss 2.2170 (2.2609) Prec@1 46.094 (48.191) Prec@5 74.609 (73.383)
Epoch: [62][2710/5005] Time 0.205 (0.211) Data 0.046 (0.048) Loss 2.1316 (2.2609) Prec@1 50.781 (48.190) Prec@5 76.172 (73.383)
Epoch: [62][2720/5005] Time 0.201 (0.211) Data 0.051 (0.048) Loss 2.1347 (2.2609) Prec@1 52.734 (48.190) Prec@5 72.656 (73.383)
Epoch: [62][2730/5005] Time 0.203 (0.211) Data 0.042 (0.048) Loss 2.2952 (2.2608) Prec@1 47.656 (48.195) Prec@5 71.094 (73.387)
Epoch: [62][2740/5005] Time 0.213 (0.211) Data 0.044 (0.048) Loss 2.1941 (2.2606) Prec@1 50.391 (48.200) Prec@5 72.656 (73.389)
Epoch: [62][2750/5005] Time 0.199 (0.211) Data 0.047 (0.048) Loss 2.2900 (2.2606) Prec@1 44.922 (48.201) Prec@5 71.875 (73.387)
Epoch: [62][2760/5005] Time 0.204 (0.211) Data 0.048 (0.048) Loss 2.1809 (2.2603) Prec@1 49.609 (48.204) Prec@5 76.172 (73.394)
Epoch: [62][2770/5005] Time 0.210 (0.211) Data 0.047 (0.048) Loss 1.9973 (2.2603) Prec@1 52.344 (48.206) Prec@5 75.781 (73.392)
Epoch: [62][2780/5005] Time 0.209 (0.211) Data 0.041 (0.048) Loss 2.5215 (2.2603) Prec@1 42.578 (48.209) Prec@5 69.531 (73.393)
Epoch: [62][2790/5005] Time 0.213 (0.211) Data 0.046 (0.048) Loss 2.5047 (2.2605) Prec@1 44.531 (48.210) Prec@5 66.797 (73.388)
Epoch: [62][2800/5005] Time 0.216 (0.211) Data 0.048 (0.048) Loss 2.0603 (2.2604) Prec@1 55.078 (48.212) Prec@5 74.219 (73.390)
Epoch: [62][2810/5005] Time 0.207 (0.211) Data 0.047 (0.048) Loss 2.4537 (2.2604) Prec@1 48.828 (48.216) Prec@5 69.141 (73.388)
Epoch: [62][2820/5005] Time 0.214 (0.211) Data 0.043 (0.048) Loss 1.9954 (2.2602) Prec@1 50.000 (48.215) Prec@5 76.562 (73.389)
Epoch: [62][2830/5005] Time 0.222 (0.211) Data 0.040 (0.048) Loss 2.5225 (2.2602) Prec@1 47.656 (48.216) Prec@5 68.750 (73.388)
Epoch: [62][2840/5005] Time 0.198 (0.211) Data 0.051 (0.048) Loss 2.2625 (2.2600) Prec@1 46.094 (48.217) Prec@5 73.828 (73.393)
Epoch: [62][2850/5005] Time 0.201 (0.211) Data 0.041 (0.048) Loss 2.2759 (2.2599) Prec@1 47.656 (48.222) Prec@5 75.000 (73.397)
Epoch: [62][2860/5005] Time 0.207 (0.211) Data 0.047 (0.048) Loss 2.2373 (2.2600) Prec@1 49.219 (48.220) Prec@5 70.703 (73.395)
Epoch: [62][2870/5005] Time 0.196 (0.211) Data 0.047 (0.048) Loss 2.2063 (2.2598) Prec@1 50.391 (48.224) Prec@5 72.656 (73.398)
Epoch: [62][2880/5005] Time 0.206 (0.211) Data 0.049 (0.048) Loss 2.1320 (2.2597) Prec@1 47.656 (48.226) Prec@5 78.125 (73.398)
Epoch: [62][2890/5005] Time 0.213 (0.211) Data 0.062 (0.048) Loss 2.3034 (2.2596) Prec@1 43.359 (48.226) Prec@5 73.047 (73.398)
Epoch: [62][2900/5005] Time 0.216 (0.211) Data 0.051 (0.048) Loss 1.9300 (2.2593) Prec@1 52.734 (48.234) Prec@5 80.078 (73.405)
Epoch: [62][2910/5005] Time 0.207 (0.211) Data 0.065 (0.048) Loss 2.1709 (2.2593) Prec@1 48.047 (48.231) Prec@5 75.391 (73.405)
Epoch: [62][2920/5005] Time 0.212 (0.211) Data 0.052 (0.048) Loss 2.3541 (2.2593) Prec@1 43.359 (48.236) Prec@5 71.875 (73.408)
Epoch: [62][2930/5005] Time 0.199 (0.211) Data 0.049 (0.048) Loss 2.5003 (2.2595) Prec@1 42.188 (48.235) Prec@5 69.531 (73.405)
Epoch: [62][2940/5005] Time 0.212 (0.211) Data 0.047 (0.048) Loss 2.3358 (2.2593) Prec@1 46.094 (48.234) Prec@5 72.656 (73.406)
Epoch: [62][2950/5005] Time 0.214 (0.211) Data 0.045 (0.048) Loss 2.3983 (2.2592) Prec@1 43.359 (48.234) Prec@5 74.609 (73.409)
Epoch: [62][2960/5005] Time 0.200 (0.211) Data 0.047 (0.048) Loss 2.1108 (2.2590) Prec@1 50.781 (48.239) Prec@5 73.828 (73.411)
Epoch: [62][2970/5005] Time 0.213 (0.211) Data 0.050 (0.048) Loss 2.3289 (2.2587) Prec@1 45.703 (48.246) Prec@5 73.438 (73.416)
Epoch: [62][2980/5005] Time 0.202 (0.211) Data 0.052 (0.048) Loss 2.4038 (2.2587) Prec@1 45.312 (48.248) Prec@5 72.656 (73.415)
Epoch: [62][2990/5005] Time 0.202 (0.211) Data 0.044 (0.048) Loss 2.2519 (2.2588) Prec@1 44.922 (48.245) Prec@5 71.484 (73.411)
Epoch: [62][3000/5005] Time 0.196 (0.211) Data 0.045 (0.048) Loss 2.3690 (2.2587) Prec@1 45.703 (48.244) Prec@5 71.094 (73.412)
Epoch: [62][3010/5005] Time 0.208 (0.211) Data 0.054 (0.048) Loss 2.1752 (2.2587) Prec@1 50.000 (48.245) Prec@5 75.000 (73.411)
Epoch: [62][3020/5005] Time 0.203 (0.211) Data 0.046 (0.048) Loss 2.1290 (2.2588) Prec@1 46.875 (48.243) Prec@5 76.172 (73.408)
Epoch: [62][3030/5005] Time 0.205 (0.211) Data 0.051 (0.048) Loss 2.2775 (2.2589) Prec@1 51.172 (48.243) Prec@5 75.391 (73.407)
Epoch: [62][3040/5005] Time 0.214 (0.211) Data 0.043 (0.048) Loss 2.2261 (2.2587) Prec@1 48.438 (48.247) Prec@5 75.000 (73.409)
Epoch: [62][3050/5005] Time 0.209 (0.211) Data 0.040 (0.048) Loss 2.2082 (2.2586) Prec@1 46.875 (48.247) Prec@5 76.953 (73.413)
Epoch: [62][3060/5005] Time 0.200 (0.211) Data 0.040 (0.048) Loss 2.2265 (2.2584) Prec@1 49.609 (48.251) Prec@5 73.438 (73.415)
Epoch: [62][3070/5005] Time 0.212 (0.211) Data 0.041 (0.048) Loss 2.1259 (2.2585) Prec@1 50.000 (48.248) Prec@5 75.781 (73.415)
Epoch: [62][3080/5005] Time 0.206 (0.211) Data 0.048 (0.048) Loss 2.1655 (2.2586) Prec@1 47.656 (48.245) Prec@5 74.219 (73.413)
Epoch: [62][3090/5005] Time 0.213 (0.211) Data 0.042 (0.048) Loss 2.5356 (2.2584) Prec@1 41.797 (48.244) Prec@5 71.094 (73.416)
Epoch: [62][3100/5005] Time 0.213 (0.211) Data 0.042 (0.048) Loss 2.1325 (2.2583) Prec@1 49.219 (48.243) Prec@5 76.172 (73.418)
Epoch: [62][3110/5005] Time 0.213 (0.211) Data 0.043 (0.048) Loss 2.1365 (2.2581) Prec@1 48.047 (48.247) Prec@5 74.609 (73.420)
Epoch: [62][3120/5005] Time 0.210 (0.211) Data 0.043 (0.048) Loss 2.3563 (2.2581) Prec@1 44.531 (48.248) Prec@5 73.047 (73.419)
Epoch: [62][3130/5005] Time 0.205 (0.211) Data 0.050 (0.048) Loss 2.3761 (2.2580) Prec@1 44.922 (48.251) Prec@5 73.047 (73.420)
Epoch: [62][3140/5005] Time 0.206 (0.211) Data 0.049 (0.048) Loss 1.9806 (2.2579) Prec@1 53.516 (48.253) Prec@5 77.344 (73.419)
Epoch: [62][3150/5005] Time 0.200 (0.211) Data 0.044 (0.048) Loss 2.2780 (2.2578) Prec@1 50.391 (48.262) Prec@5 72.656 (73.424)
Epoch: [62][3160/5005] Time 0.203 (0.211) Data 0.041 (0.048) Loss 2.1041 (2.2578) Prec@1 52.344 (48.264) Prec@5 74.219 (73.424)
Epoch: [62][3170/5005] Time 0.211 (0.211) Data 0.047 (0.048) Loss 2.2825 (2.2579) Prec@1 50.391 (48.265) Prec@5 73.438 (73.423)
Epoch: [62][3180/5005] Time 0.203 (0.211) Data 0.041 (0.048) Loss 2.1760 (2.2579) Prec@1 51.562 (48.263) Prec@5 73.438 (73.422)
Epoch: [62][3190/5005] Time 0.216 (0.211) Data 0.046 (0.048) Loss 2.2993 (2.2579) Prec@1 42.188 (48.261) Prec@5 71.094 (73.425)
Epoch: [62][3200/5005] Time 0.206 (0.211) Data 0.043 (0.048) Loss 2.3714 (2.2579) Prec@1 43.750 (48.265) Prec@5 75.000 (73.428)
Epoch: [62][3210/5005] Time 0.214 (0.211) Data 0.041 (0.048) Loss 2.4166 (2.2579) Prec@1 48.828 (48.264) Prec@5 71.094 (73.431)
Epoch: [62][3220/5005] Time 0.197 (0.211) Data 0.045 (0.048) Loss 2.3534 (2.2580) Prec@1 46.875 (48.266) Prec@5 71.875 (73.430)
Epoch: [62][3230/5005] Time 0.200 (0.211) Data 0.051 (0.048) Loss 2.1890 (2.2577) Prec@1 49.219 (48.268) Prec@5 73.047 (73.433)
Epoch: [62][3240/5005] Time 0.196 (0.211) Data 0.043 (0.048) Loss 2.6022 (2.2580) Prec@1 40.625 (48.261) Prec@5 69.531 (73.430)
Epoch: [62][3250/5005] Time 0.204 (0.211) Data 0.044 (0.048) Loss 2.2838 (2.2580) Prec@1 51.172 (48.260) Prec@5 72.266 (73.429)
Epoch: [62][3260/5005] Time 0.215 (0.211) Data 0.043 (0.048) Loss 2.2321 (2.2581) Prec@1 50.391 (48.256) Prec@5 72.656 (73.428)
Epoch: [62][3270/5005] Time 0.200 (0.211) Data 0.057 (0.048) Loss 2.3885 (2.2580) Prec@1 45.703 (48.257) Prec@5 69.531 (73.430)
Epoch: [62][3280/5005] Time 0.210 (0.211) Data 0.042 (0.048) Loss 2.0501 (2.2580) Prec@1 54.688 (48.257) Prec@5 73.828 (73.428)
Epoch: [62][3290/5005] Time 0.209 (0.211) Data 0.045 (0.048) Loss 2.3875 (2.2579) Prec@1 48.438 (48.257) Prec@5 72.266 (73.429)
Epoch: [62][3300/5005] Time 0.193 (0.211) Data 0.051 (0.048) Loss 2.1723 (2.2579) Prec@1 47.656 (48.259) Prec@5 75.391 (73.429)
Epoch: [62][3310/5005] Time 0.208 (0.211) Data 0.041 (0.048) Loss 2.1279 (2.2579) Prec@1 53.906 (48.263) Prec@5 72.656 (73.430)
Epoch: [62][3320/5005] Time 0.221 (0.211) Data 0.044 (0.048) Loss 2.2882 (2.2579) Prec@1 48.438 (48.263) Prec@5 74.219 (73.429)
Epoch: [62][3330/5005] Time 0.202 (0.211) Data 0.043 (0.048) Loss 2.3203 (2.2579) Prec@1 48.047 (48.261) Prec@5 73.828 (73.429)
Epoch: [62][3340/5005] Time 0.209 (0.211) Data 0.042 (0.048) Loss 2.3180 (2.2579) Prec@1 51.172 (48.264) Prec@5 73.828 (73.429)
Epoch: [62][3350/5005] Time 0.209 (0.211) Data 0.063 (0.048) Loss 2.1403 (2.2578) Prec@1 47.266 (48.262) Prec@5 76.953 (73.431)
Epoch: [62][3360/5005] Time 0.204 (0.211) Data 0.049 (0.048) Loss 2.1611 (2.2577) Prec@1 48.828 (48.265) Prec@5 76.562 (73.434)
Epoch: [62][3370/5005] Time 0.205 (0.211) Data 0.062 (0.048) Loss 2.3283 (2.2578) Prec@1 44.922 (48.264) Prec@5 73.828 (73.432)
Epoch: [62][3380/5005] Time 0.206 (0.211) Data 0.051 (0.048) Loss 2.1963 (2.2577) Prec@1 48.828 (48.264) Prec@5 73.438 (73.434)
Epoch: [62][3390/5005] Time 0.208 (0.211) Data 0.046 (0.048) Loss 2.1529 (2.2577) Prec@1 51.172 (48.261) Prec@5 74.609 (73.432)
Epoch: [62][3400/5005] Time 0.204 (0.211) Data 0.047 (0.048) Loss 2.0866 (2.2577) Prec@1 52.344 (48.259) Prec@5 76.562 (73.431)
Epoch: [62][3410/5005] Time 0.215 (0.211) Data 0.043 (0.048) Loss 2.2940 (2.2575) Prec@1 47.266 (48.264) Prec@5 73.438 (73.436)
Epoch: [62][3420/5005] Time 0.203 (0.211) Data 0.059 (0.048) Loss 2.0345 (2.2574) Prec@1 53.125 (48.266) Prec@5 75.391 (73.440)
Epoch: [62][3430/5005] Time 0.209 (0.211) Data 0.063 (0.048) Loss 2.3353 (2.2575) Prec@1 47.656 (48.265) Prec@5 69.141 (73.439)
Epoch: [62][3440/5005] Time 0.212 (0.211) Data 0.051 (0.048) Loss 2.3101 (2.2573) Prec@1 47.656 (48.270) Prec@5 72.266 (73.442)
Epoch: [62][3450/5005] Time 0.211 (0.211) Data 0.046 (0.048) Loss 2.1982 (2.2572) Prec@1 48.828 (48.272) Prec@5 74.219 (73.443)
Epoch: [62][3460/5005] Time 0.213 (0.211) Data 0.043 (0.048) Loss 2.1548 (2.2572) Prec@1 53.906 (48.276) Prec@5 76.172 (73.445)
Epoch: [62][3470/5005] Time 0.197 (0.211) Data 0.042 (0.048) Loss 2.1020 (2.2570) Prec@1 51.172 (48.279) Prec@5 78.125 (73.449)
Epoch: [62][3480/5005] Time 0.204 (0.211) Data 0.045 (0.048) Loss 2.2313 (2.2568) Prec@1 49.609 (48.282) Prec@5 75.391 (73.454)
Epoch: [62][3490/5005] Time 0.206 (0.211) Data 0.051 (0.048) Loss 2.3392 (2.2568) Prec@1 44.922 (48.281) Prec@5 71.484 (73.453)
Epoch: [62][3500/5005] Time 0.199 (0.211) Data 0.045 (0.048) Loss 2.1690 (2.2569) Prec@1 46.875 (48.279) Prec@5 74.609 (73.450)
Epoch: [62][3510/5005] Time 0.202 (0.211) Data 0.058 (0.048) Loss 2.0276 (2.2566) Prec@1 48.828 (48.281) Prec@5 71.094 (73.453)
Epoch: [62][3520/5005] Time 0.212 (0.211) Data 0.048 (0.048) Loss 2.3753 (2.2567) Prec@1 50.391 (48.282) Prec@5 70.703 (73.451)
Epoch: [62][3530/5005] Time 0.208 (0.211) Data 0.042 (0.048) Loss 2.1577 (2.2565) Prec@1 51.562 (48.289) Prec@5 77.344 (73.454)
Epoch: [62][3540/5005] Time 0.199 (0.210) Data 0.060 (0.048) Loss 2.1126 (2.2564) Prec@1 51.172 (48.290) Prec@5 75.391 (73.456)
Epoch: [62][3550/5005] Time 0.216 (0.210) Data 0.042 (0.048) Loss 2.2861 (2.2562) Prec@1 45.312 (48.292) Prec@5 69.531 (73.460)
Epoch: [62][3560/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.3207 (2.2561) Prec@1 45.703 (48.293) Prec@5 73.047 (73.461)
Epoch: [62][3570/5005] Time 0.200 (0.210) Data 0.048 (0.048) Loss 2.4112 (2.2562) Prec@1 48.047 (48.292) Prec@5 72.656 (73.458)
Epoch: [62][3580/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.1400 (2.2562) Prec@1 48.828 (48.291) Prec@5 71.875 (73.455)
Epoch: [62][3590/5005] Time 0.202 (0.210) Data 0.043 (0.048) Loss 2.2725 (2.2560) Prec@1 48.047 (48.296) Prec@5 73.438 (73.459)
Epoch: [62][3600/5005] Time 0.198 (0.210) Data 0.044 (0.048) Loss 2.1943 (2.2557) Prec@1 51.562 (48.302) Prec@5 72.266 (73.461)
Epoch: [62][3610/5005] Time 0.218 (0.210) Data 0.048 (0.048) Loss 2.1146 (2.2557) Prec@1 51.172 (48.304) Prec@5 73.438 (73.460)
Epoch: [62][3620/5005] Time 0.213 (0.210) Data 0.051 (0.048) Loss 2.3787 (2.2556) Prec@1 44.922 (48.308) Prec@5 73.047 (73.463)
Epoch: [62][3630/5005] Time 0.216 (0.210) Data 0.044 (0.048) Loss 2.4676 (2.2556) Prec@1 46.875 (48.306) Prec@5 69.531 (73.463)
Epoch: [62][3640/5005] Time 0.208 (0.210) Data 0.047 (0.048) Loss 2.3317 (2.2556) Prec@1 45.312 (48.305) Prec@5 71.484 (73.463)
Epoch: [62][3650/5005] Time 0.205 (0.210) Data 0.041 (0.048) Loss 2.0250 (2.2556) Prec@1 50.391 (48.304) Prec@5 76.562 (73.465)
Epoch: [62][3660/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.3478 (2.2553) Prec@1 49.219 (48.308) Prec@5 73.047 (73.472)
Epoch: [62][3670/5005] Time 0.214 (0.210) Data 0.045 (0.048) Loss 2.2736 (2.2554) Prec@1 51.172 (48.308) Prec@5 73.047 (73.471)
Epoch: [62][3680/5005] Time 0.212 (0.210) Data 0.042 (0.048) Loss 2.2495 (2.2555) Prec@1 49.609 (48.305) Prec@5 69.922 (73.470)
Epoch: [62][3690/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.0811 (2.2554) Prec@1 50.391 (48.306) Prec@5 75.781 (73.472)
Epoch: [62][3700/5005] Time 0.210 (0.210) Data 0.046 (0.048) Loss 2.2729 (2.2555) Prec@1 50.781 (48.306) Prec@5 75.781 (73.471)
Epoch: [62][3710/5005] Time 0.208 (0.210) Data 0.049 (0.048) Loss 2.1764 (2.2555) Prec@1 50.391 (48.309) Prec@5 75.000 (73.473)
Epoch: [62][3720/5005] Time 0.201 (0.210) Data 0.051 (0.048) Loss 2.3882 (2.2554) Prec@1 46.875 (48.311) Prec@5 71.875 (73.475)
Epoch: [62][3730/5005] Time 0.201 (0.210) Data 0.051 (0.048) Loss 2.1654 (2.2552) Prec@1 49.609 (48.311) Prec@5 73.828 (73.475)
Epoch: [62][3740/5005] Time 0.219 (0.210) Data 0.042 (0.048) Loss 2.1024 (2.2550) Prec@1 51.953 (48.316) Prec@5 77.734 (73.481)
Epoch: [62][3750/5005] Time 0.201 (0.210) Data 0.040 (0.048) Loss 2.1207 (2.2551) Prec@1 51.172 (48.315) Prec@5 76.562 (73.478)
Epoch: [62][3760/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.2346 (2.2550) Prec@1 49.219 (48.313) Prec@5 71.875 (73.479)
Epoch: [62][3770/5005] Time 0.201 (0.210) Data 0.049 (0.048) Loss 2.3495 (2.2550) Prec@1 46.094 (48.314) Prec@5 69.922 (73.478)
Epoch: [62][3780/5005] Time 0.201 (0.210) Data 0.041 (0.048) Loss 2.2199 (2.2549) Prec@1 48.047 (48.315) Prec@5 73.047 (73.476)
Epoch: [62][3790/5005] Time 0.208 (0.210) Data 0.044 (0.048) Loss 2.3307 (2.2549) Prec@1 44.141 (48.315) Prec@5 73.828 (73.480)
Epoch: [62][3800/5005] Time 0.214 (0.210) Data 0.042 (0.048) Loss 2.0736 (2.2551) Prec@1 51.172 (48.312) Prec@5 75.391 (73.478)
Epoch: [62][3810/5005] Time 0.201 (0.210) Data 0.045 (0.048) Loss 2.2465 (2.2551) Prec@1 51.953 (48.312) Prec@5 71.094 (73.477)
Epoch: [62][3820/5005] Time 0.203 (0.210) Data 0.045 (0.048) Loss 2.1467 (2.2549) Prec@1 52.734 (48.313) Prec@5 76.953 (73.482)
Epoch: [62][3830/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.1535 (2.2547) Prec@1 48.438 (48.318) Prec@5 76.172 (73.486)
Epoch: [62][3840/5005] Time 0.205 (0.210) Data 0.042 (0.047) Loss 2.4732 (2.2548) Prec@1 44.141 (48.314) Prec@5 69.141 (73.485)
Epoch: [62][3850/5005] Time 0.214 (0.210) Data 0.043 (0.047) Loss 2.2444 (2.2547) Prec@1 49.219 (48.316) Prec@5 71.094 (73.486)
Epoch: [62][3860/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.0629 (2.2547) Prec@1 53.516 (48.319) Prec@5 77.344 (73.487)
Epoch: [62][3870/5005] Time 0.206 (0.210) Data 0.041 (0.047) Loss 2.1038 (2.2547) Prec@1 51.562 (48.319) Prec@5 76.172 (73.486)
Epoch: [62][3880/5005] Time 0.202 (0.210) Data 0.043 (0.047) Loss 2.1122 (2.2546) Prec@1 52.344 (48.320) Prec@5 75.391 (73.486)
Epoch: [62][3890/5005] Time 0.208 (0.210) Data 0.058 (0.047) Loss 2.5433 (2.2547) Prec@1 45.312 (48.320) Prec@5 69.922 (73.485)
Epoch: [62][3900/5005] Time 0.213 (0.210) Data 0.048 (0.047) Loss 2.5623 (2.2549) Prec@1 42.969 (48.319) Prec@5 70.312 (73.485)
Epoch: [62][3910/5005] Time 0.209 (0.210) Data 0.048 (0.047) Loss 2.4508 (2.2549) Prec@1 40.625 (48.318) Prec@5 68.359 (73.483)
Epoch: [62][3920/5005] Time 0.207 (0.210) Data 0.051 (0.047) Loss 2.1567 (2.2548) Prec@1 51.172 (48.322) Prec@5 76.953 (73.484)
Epoch: [62][3930/5005] Time 0.208 (0.210) Data 0.042 (0.047) Loss 2.3150 (2.2546) Prec@1 45.312 (48.323) Prec@5 70.703 (73.486)
Epoch: [62][3940/5005] Time 0.208 (0.210) Data 0.062 (0.047) Loss 2.1914 (2.2546) Prec@1 48.828 (48.322) Prec@5 71.875 (73.486)
Epoch: [62][3950/5005] Time 0.215 (0.210) Data 0.042 (0.047) Loss 2.1883 (2.2544) Prec@1 50.781 (48.326) Prec@5 74.609 (73.490)
Epoch: [62][3960/5005] Time 0.303 (0.210) Data 0.039 (0.047) Loss 2.1865 (2.2544) Prec@1 51.172 (48.328) Prec@5 75.000 (73.489)
Epoch: [62][3970/5005] Time 0.210 (0.210) Data 0.043 (0.047) Loss 2.1831 (2.2544) Prec@1 49.609 (48.325) Prec@5 74.219 (73.488)
Epoch: [62][3980/5005] Time 0.206 (0.210) Data 0.043 (0.047) Loss 2.0895 (2.2544) Prec@1 52.734 (48.326) Prec@5 75.391 (73.487)
Epoch: [62][3990/5005] Time 0.206 (0.210) Data 0.042 (0.047) Loss 2.3927 (2.2545) Prec@1 47.656 (48.324) Prec@5 71.094 (73.485)
Epoch: [62][4000/5005] Time 0.211 (0.210) Data 0.042 (0.047) Loss 2.1888 (2.2545) Prec@1 47.656 (48.323) Prec@5 75.000 (73.488)
Epoch: [62][4010/5005] Time 0.211 (0.210) Data 0.043 (0.047) Loss 2.3078 (2.2543) Prec@1 46.094 (48.325) Prec@5 71.094 (73.491)
Epoch: [62][4020/5005] Time 0.203 (0.210) Data 0.047 (0.047) Loss 2.3397 (2.2543) Prec@1 48.438 (48.327) Prec@5 70.312 (73.489)
Epoch: [62][4030/5005] Time 0.213 (0.210) Data 0.045 (0.047) Loss 2.4214 (2.2546) Prec@1 47.266 (48.327) Prec@5 71.484 (73.485)
Epoch: [62][4040/5005] Time 0.211 (0.210) Data 0.051 (0.047) Loss 2.3450 (2.2548) Prec@1 47.266 (48.323) Prec@5 66.406 (73.482)
Epoch: [62][4050/5005] Time 0.203 (0.210) Data 0.052 (0.047) Loss 2.4890 (2.2547) Prec@1 44.531 (48.323) Prec@5 71.875 (73.483)
Epoch: [62][4060/5005] Time 0.221 (0.210) Data 0.047 (0.047) Loss 2.2709 (2.2547) Prec@1 46.484 (48.322) Prec@5 70.312 (73.483)
Epoch: [62][4070/5005] Time 0.199 (0.210) Data 0.042 (0.047) Loss 2.3033 (2.2547) Prec@1 46.484 (48.319) Prec@5 72.266 (73.484)
Epoch: [62][4080/5005] Time 0.194 (0.210) Data 0.058 (0.047) Loss 2.2346 (2.2547) Prec@1 49.219 (48.319) Prec@5 72.266 (73.482)
Epoch: [62][4090/5005] Time 0.212 (0.210) Data 0.042 (0.047) Loss 2.3620 (2.2547) Prec@1 44.922 (48.319) Prec@5 73.438 (73.482)
Epoch: [62][4100/5005] Time 0.204 (0.210) Data 0.039 (0.047) Loss 2.2432 (2.2547) Prec@1 46.875 (48.319) Prec@5 71.875 (73.481)
Epoch: [62][4110/5005] Time 0.208 (0.210) Data 0.048 (0.047) Loss 2.4346 (2.2546) Prec@1 44.531 (48.319) Prec@5 70.703 (73.481)
Epoch: [62][4120/5005] Time 0.203 (0.210) Data 0.042 (0.047) Loss 2.4239 (2.2545) Prec@1 47.656 (48.320) Prec@5 70.312 (73.481)
Epoch: [62][4130/5005] Time 0.210 (0.210) Data 0.047 (0.047) Loss 2.4602 (2.2544) Prec@1 43.359 (48.320) Prec@5 69.922 (73.483)
Epoch: [62][4140/5005] Time 0.206 (0.210) Data 0.049 (0.047) Loss 2.3527 (2.2545) Prec@1 47.266 (48.319) Prec@5 70.312 (73.481)
Epoch: [62][4150/5005] Time 0.207 (0.210) Data 0.063 (0.047) Loss 2.4554 (2.2546) Prec@1 45.312 (48.318) Prec@5 72.656 (73.479)
Epoch: [62][4160/5005] Time 0.204 (0.210) Data 0.051 (0.047) Loss 2.1694 (2.2547) Prec@1 48.047 (48.316) Prec@5 77.344 (73.479)
Epoch: [62][4170/5005] Time 0.205 (0.210) Data 0.042 (0.047) Loss 2.1624 (2.2546) Prec@1 45.703 (48.319) Prec@5 76.172 (73.484)
Epoch: [62][4180/5005] Time 0.212 (0.210) Data 0.044 (0.047) Loss 2.0802 (2.2545) Prec@1 53.125 (48.320) Prec@5 75.000 (73.482)
Epoch: [62][4190/5005] Time 0.205 (0.210) Data 0.046 (0.047) Loss 2.0368 (2.2544) Prec@1 53.516 (48.323) Prec@5 77.344 (73.484)
Epoch: [62][4200/5005] Time 0.199 (0.210) Data 0.048 (0.047) Loss 2.0995 (2.2543) Prec@1 48.438 (48.323) Prec@5 74.609 (73.485)
Epoch: [62][4210/5005] Time 0.203 (0.210) Data 0.043 (0.047) Loss 2.1629 (2.2543) Prec@1 48.828 (48.321) Prec@5 76.953 (73.485)
Epoch: [62][4220/5005] Time 0.211 (0.210) Data 0.044 (0.047) Loss 2.3902 (2.2544) Prec@1 42.969 (48.320) Prec@5 72.266 (73.482)
Epoch: [62][4230/5005] Time 0.220 (0.210) Data 0.042 (0.047) Loss 2.4869 (2.2544) Prec@1 45.703 (48.321) Prec@5 66.016 (73.481)
Epoch: [62][4240/5005] Time 0.212 (0.210) Data 0.044 (0.047) Loss 2.0438 (2.2544) Prec@1 52.734 (48.320) Prec@5 74.219 (73.481)
Epoch: [62][4250/5005] Time 0.205 (0.210) Data 0.057 (0.047) Loss 2.0551 (2.2543) Prec@1 50.391 (48.323) Prec@5 76.172 (73.483)
Epoch: [62][4260/5005] Time 0.216 (0.210) Data 0.045 (0.047) Loss 2.2587 (2.2543) Prec@1 46.875 (48.322) Prec@5 73.438 (73.482)
Epoch: [62][4270/5005] Time 0.211 (0.210) Data 0.043 (0.047) Loss 2.2758 (2.2543) Prec@1 48.828 (48.321) Prec@5 75.391 (73.481)
Epoch: [62][4280/5005] Time 0.202 (0.210) Data 0.047 (0.047) Loss 2.3423 (2.2542) Prec@1 47.266 (48.324) Prec@5 70.312 (73.480)
Epoch: [62][4290/5005] Time 0.213 (0.210) Data 0.042 (0.047) Loss 2.4024 (2.2543) Prec@1 46.484 (48.323) Prec@5 69.141 (73.480)
Epoch: [62][4300/5005] Time 0.199 (0.210) Data 0.065 (0.047) Loss 2.0464 (2.2541) Prec@1 48.828 (48.324) Prec@5 79.688 (73.484)
Epoch: [62][4310/5005] Time 0.211 (0.210) Data 0.043 (0.047) Loss 2.0707 (2.2540) Prec@1 55.469 (48.327) Prec@5 76.562 (73.489)
Epoch: [62][4320/5005] Time 0.206 (0.210) Data 0.044 (0.047) Loss 2.2017 (2.2540) Prec@1 51.172 (48.330) Prec@5 74.219 (73.489)
Epoch: [62][4330/5005] Time 0.207 (0.210) Data 0.042 (0.047) Loss 2.0551 (2.2540) Prec@1 51.172 (48.330) Prec@5 79.688 (73.490)
Epoch: [62][4340/5005] Time 0.207 (0.210) Data 0.043 (0.047) Loss 2.3114 (2.2540) Prec@1 47.656 (48.325) Prec@5 70.312 (73.489)
Epoch: [62][4350/5005] Time 0.198 (0.210) Data 0.043 (0.047) Loss 2.3991 (2.2539) Prec@1 46.484 (48.327) Prec@5 69.922 (73.492)
Epoch: [62][4360/5005] Time 0.200 (0.210) Data 0.048 (0.047) Loss 2.0701 (2.2537) Prec@1 50.000 (48.329) Prec@5 76.953 (73.496)
Epoch: [62][4370/5005] Time 0.209 (0.210) Data 0.043 (0.047) Loss 2.1456 (2.2537) Prec@1 48.828 (48.329) Prec@5 76.172 (73.497)
Epoch: [62][4380/5005] Time 0.206 (0.210) Data 0.042 (0.047) Loss 2.3268 (2.2537) Prec@1 45.312 (48.328) Prec@5 72.266 (73.499)
Epoch: [62][4390/5005] Time 0.211 (0.210) Data 0.041 (0.047) Loss 2.2175 (2.2535) Prec@1 47.656 (48.334) Prec@5 74.219 (73.501)
Epoch: [62][4400/5005] Time 0.208 (0.210) Data 0.049 (0.047) Loss 2.1401 (2.2535) Prec@1 47.266 (48.333) Prec@5 75.781 (73.500)
Epoch: [62][4410/5005] Time 0.221 (0.210) Data 0.044 (0.047) Loss 2.3160 (2.2535) Prec@1 46.484 (48.334) Prec@5 75.000 (73.500)
Epoch: [62][4420/5005] Time 0.199 (0.210) Data 0.061 (0.047) Loss 1.9656 (2.2533) Prec@1 53.125 (48.337) Prec@5 79.688 (73.504)
Epoch: [62][4430/5005] Time 0.210 (0.210) Data 0.042 (0.047) Loss 2.2376 (2.2531) Prec@1 44.531 (48.341) Prec@5 71.875 (73.507)
Epoch: [62][4440/5005] Time 0.206 (0.210) Data 0.048 (0.047) Loss 2.2790 (2.2530) Prec@1 47.656 (48.342) Prec@5 74.219 (73.508)
Epoch: [62][4450/5005] Time 0.206 (0.210) Data 0.046 (0.047) Loss 2.2078 (2.2530) Prec@1 48.047 (48.342) Prec@5 71.484 (73.507)
Epoch: [62][4460/5005] Time 0.204 (0.210) Data 0.062 (0.047) Loss 2.2636 (2.2528) Prec@1 47.656 (48.344) Prec@5 73.438 (73.512)
Epoch: [62][4470/5005] Time 0.210 (0.210) Data 0.045 (0.047) Loss 2.2345 (2.2530) Prec@1 48.828 (48.344) Prec@5 75.391 (73.512)
Epoch: [62][4480/5005] Time 0.213 (0.210) Data 0.046 (0.047) Loss 1.9833 (2.2530) Prec@1 50.391 (48.344) Prec@5 78.906 (73.511)
Epoch: [62][4490/5005] Time 0.208 (0.210) Data 0.045 (0.047) Loss 2.2923 (2.2531) Prec@1 48.047 (48.343) Prec@5 73.438 (73.510)
Epoch: [62][4500/5005] Time 0.198 (0.210) Data 0.045 (0.047) Loss 2.1594 (2.2530) Prec@1 50.391 (48.344) Prec@5 77.734 (73.512)
Epoch: [62][4510/5005] Time 0.205 (0.210) Data 0.043 (0.047) Loss 2.0666 (2.2529) Prec@1 51.172 (48.344) Prec@5 76.562 (73.514)
Epoch: [62][4520/5005] Time 0.213 (0.210) Data 0.042 (0.047) Loss 2.1272 (2.2528) Prec@1 48.438 (48.347) Prec@5 76.172 (73.515)
Epoch: [62][4530/5005] Time 0.213 (0.210) Data 0.042 (0.047) Loss 2.1495 (2.2526) Prec@1 50.391 (48.349) Prec@5 76.562 (73.517)
Epoch: [62][4540/5005] Time 0.208 (0.210) Data 0.052 (0.047) Loss 2.3294 (2.2527) Prec@1 48.047 (48.347) Prec@5 72.656 (73.516)
Epoch: [62][4550/5005] Time 0.208 (0.210) Data 0.044 (0.047) Loss 2.2443 (2.2527) Prec@1 48.438 (48.348) Prec@5 73.828 (73.517)
Epoch: [62][4560/5005] Time 0.206 (0.210) Data 0.038 (0.047) Loss 2.3075 (2.2527) Prec@1 45.312 (48.349) Prec@5 75.000 (73.519)
Epoch: [62][4570/5005] Time 0.206 (0.210) Data 0.045 (0.047) Loss 2.1593 (2.2525) Prec@1 54.688 (48.354) Prec@5 74.609 (73.521)
Epoch: [62][4580/5005] Time 0.222 (0.210) Data 0.044 (0.047) Loss 2.4144 (2.2525) Prec@1 43.750 (48.355) Prec@5 70.312 (73.520)
Epoch: [62][4590/5005] Time 0.216 (0.210) Data 0.053 (0.047) Loss 2.0044 (2.2525) Prec@1 55.859 (48.355) Prec@5 79.297 (73.520)
Epoch: [62][4600/5005] Time 0.211 (0.210) Data 0.047 (0.047) Loss 2.0112 (2.2525) Prec@1 55.469 (48.356) Prec@5 75.000 (73.519)
Epoch: [62][4610/5005] Time 0.216 (0.210) Data 0.043 (0.047) Loss 2.0363 (2.2524) Prec@1 54.688 (48.356) Prec@5 78.125 (73.520)
Epoch: [62][4620/5005] Time 0.201 (0.210) Data 0.048 (0.047) Loss 2.2051 (2.2524) Prec@1 48.438 (48.355) Prec@5 75.000 (73.518)
Epoch: [62][4630/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.0339 (2.2523) Prec@1 54.297 (48.357) Prec@5 77.734 (73.520)
Epoch: [62][4640/5005] Time 0.212 (0.210) Data 0.044 (0.047) Loss 2.2910 (2.2522) Prec@1 47.656 (48.357) Prec@5 72.266 (73.519)
Epoch: [62][4650/5005] Time 0.211 (0.210) Data 0.045 (0.047) Loss 2.2563 (2.2522) Prec@1 48.047 (48.358) Prec@5 73.047 (73.522)
Epoch: [62][4660/5005] Time 0.212 (0.210) Data 0.044 (0.047) Loss 2.5611 (2.2522) Prec@1 42.969 (48.360) Prec@5 67.578 (73.520)
Epoch: [62][4670/5005] Time 0.212 (0.210) Data 0.044 (0.047) Loss 2.0374 (2.2520) Prec@1 48.828 (48.360) Prec@5 75.391 (73.524)
Epoch: [62][4680/5005] Time 0.214 (0.210) Data 0.043 (0.047) Loss 2.2834 (2.2521) Prec@1 46.094 (48.359) Prec@5 75.781 (73.522)
Epoch: [62][4690/5005] Time 0.213 (0.210) Data 0.045 (0.047) Loss 2.2480 (2.2520) Prec@1 46.484 (48.358) Prec@5 74.219 (73.521)
Epoch: [62][4700/5005] Time 0.216 (0.210) Data 0.043 (0.047) Loss 2.1721 (2.2521) Prec@1 54.688 (48.360) Prec@5 75.391 (73.521)
Epoch: [62][4710/5005] Time 0.215 (0.210) Data 0.044 (0.047) Loss 2.3092 (2.2519) Prec@1 43.750 (48.361) Prec@5 74.219 (73.524)
Epoch: [62][4720/5005] Time 0.210 (0.210) Data 0.046 (0.047) Loss 1.9977 (2.2518) Prec@1 50.391 (48.362) Prec@5 78.516 (73.524)
Epoch: [62][4730/5005] Time 0.195 (0.210) Data 0.064 (0.047) Loss 2.1960 (2.2519) Prec@1 48.828 (48.361) Prec@5 71.875 (73.522)
Epoch: [62][4740/5005] Time 0.201 (0.210) Data 0.045 (0.047) Loss 2.1736 (2.2518) Prec@1 47.266 (48.362) Prec@5 74.609 (73.524)
Epoch: [62][4750/5005] Time 0.200 (0.210) Data 0.048 (0.047) Loss 2.1817 (2.2516) Prec@1 50.781 (48.366) Prec@5 74.609 (73.526)
Epoch: [62][4760/5005] Time 0.207 (0.210) Data 0.044 (0.047) Loss 2.4622 (2.2515) Prec@1 46.094 (48.366) Prec@5 70.703 (73.527)
Epoch: [62][4770/5005] Time 0.218 (0.210) Data 0.040 (0.047) Loss 2.2098 (2.2514) Prec@1 49.219 (48.368) Prec@5 75.000 (73.528)
Epoch: [62][4780/5005] Time 0.213 (0.210) Data 0.064 (0.047) Loss 2.2160 (2.2514) Prec@1 50.391 (48.368) Prec@5 71.484 (73.527)
Epoch: [62][4790/5005] Time 0.203 (0.210) Data 0.047 (0.047) Loss 2.4305 (2.2514) Prec@1 46.484 (48.371) Prec@5 70.312 (73.529)
Epoch: [62][4800/5005] Time 0.204 (0.210) Data 0.056 (0.047) Loss 2.4257 (2.2513) Prec@1 43.750 (48.372) Prec@5 70.703 (73.532)
Epoch: [62][4810/5005] Time 0.205 (0.210) Data 0.069 (0.047) Loss 2.3207 (2.2512) Prec@1 46.484 (48.372) Prec@5 73.438 (73.533)
Epoch: [62][4820/5005] Time 0.208 (0.210) Data 0.046 (0.047) Loss 2.4127 (2.2510) Prec@1 44.141 (48.375) Prec@5 70.312 (73.536)
Epoch: [62][4830/5005] Time 0.197 (0.210) Data 0.046 (0.047) Loss 2.2224 (2.2508) Prec@1 50.391 (48.380) Prec@5 75.391 (73.539)
Epoch: [62][4840/5005] Time 0.208 (0.210) Data 0.042 (0.047) Loss 2.1146 (2.2509) Prec@1 53.906 (48.381) Prec@5 74.219 (73.536)
Epoch: [62][4850/5005] Time 0.203 (0.210) Data 0.048 (0.047) Loss 2.3159 (2.2510) Prec@1 42.969 (48.377) Prec@5 76.172 (73.535)
Epoch: [62][4860/5005] Time 0.212 (0.210) Data 0.050 (0.047) Loss 2.1090 (2.2509) Prec@1 51.562 (48.376) Prec@5 73.828 (73.538)
Epoch: [62][4870/5005] Time 0.203 (0.210) Data 0.045 (0.047) Loss 2.1234 (2.2509) Prec@1 53.125 (48.377) Prec@5 73.828 (73.538)
Epoch: [62][4880/5005] Time 0.215 (0.210) Data 0.043 (0.047) Loss 2.0434 (2.2508) Prec@1 50.000 (48.380) Prec@5 76.562 (73.540)
Epoch: [62][4890/5005] Time 0.202 (0.210) Data 0.047 (0.047) Loss 2.2290 (2.2507) Prec@1 50.000 (48.381) Prec@5 70.703 (73.540)
Epoch: [62][4900/5005] Time 0.212 (0.210) Data 0.055 (0.047) Loss 1.9956 (2.2505) Prec@1 50.391 (48.385) Prec@5 78.516 (73.542)
Epoch: [62][4910/5005] Time 0.314 (0.210) Data 0.051 (0.047) Loss 2.1881 (2.2503) Prec@1 50.391 (48.388) Prec@5 75.391 (73.544)
Epoch: [62][4920/5005] Time 0.191 (0.210) Data 0.052 (0.047) Loss 2.1881 (2.2502) Prec@1 51.953 (48.389) Prec@5 71.094 (73.545)
Epoch: [62][4930/5005] Time 0.209 (0.210) Data 0.045 (0.047) Loss 2.4252 (2.2502) Prec@1 47.266 (48.391) Prec@5 70.703 (73.548)
Epoch: [62][4940/5005] Time 0.211 (0.210) Data 0.046 (0.047) Loss 2.1807 (2.2502) Prec@1 50.000 (48.391) Prec@5 74.609 (73.548)
Epoch: [62][4950/5005] Time 0.205 (0.210) Data 0.046 (0.047) Loss 1.8838 (2.2501) Prec@1 54.688 (48.393) Prec@5 78.125 (73.549)
Epoch: [62][4960/5005] Time 0.209 (0.210) Data 0.048 (0.047) Loss 2.3207 (2.2501) Prec@1 48.047 (48.395) Prec@5 73.047 (73.549)
Epoch: [62][4970/5005] Time 0.204 (0.210) Data 0.050 (0.047) Loss 2.2062 (2.2500) Prec@1 46.875 (48.397) Prec@5 74.219 (73.551)
Epoch: [62][4980/5005] Time 0.213 (0.210) Data 0.041 (0.047) Loss 2.2300 (2.2499) Prec@1 50.391 (48.398) Prec@5 75.000 (73.553)
Epoch: [62][4990/5005] Time 0.203 (0.210) Data 0.022 (0.047) Loss 2.2571 (2.2498) Prec@1 44.141 (48.398) Prec@5 73.828 (73.553)
Epoch: [62][5000/5005] Time 0.207 (0.210) Data 0.021 (0.047) Loss 2.2772 (2.2499) Prec@1 47.266 (48.396) Prec@5 73.828 (73.553)
Test: [0/196] Time 1.649 (1.649) Loss 2.4143 (2.4143) Prec@1 47.656 (47.656) Prec@5 70.703 (70.703)
Test: [10/196] Time 0.692 (0.332) Loss 2.4741 (2.5671) Prec@1 43.750 (43.253) Prec@5 70.312 (68.892)
Test: [20/196] Time 0.327 (0.234) Loss 2.4728 (2.5696) Prec@1 45.703 (43.434) Prec@5 72.656 (69.252)
Test: [30/196] Time 0.042 (0.214) Loss 2.4794 (2.5688) Prec@1 42.969 (43.599) Prec@5 68.750 (69.330)
Test: [40/196] Time 0.043 (0.202) Loss 2.3008 (2.5618) Prec@1 53.906 (43.845) Prec@5 73.828 (69.341)
Test: [50/196] Time 0.178 (0.200) Loss 2.6038 (2.5608) Prec@1 47.656 (44.064) Prec@5 72.266 (69.409)
Test: [60/196] Time 0.330 (0.193) Loss 2.4475 (2.5480) Prec@1 46.875 (44.256) Prec@5 67.578 (69.589)
Test: [70/196] Time 0.051 (0.191) Loss 2.5326 (2.5422) Prec@1 42.969 (44.157) Prec@5 68.359 (69.548)
Test: [80/196] Time 0.268 (0.189) Loss 2.4080 (2.5476) Prec@1 51.953 (44.141) Prec@5 76.172 (69.464)
Test: [90/196] Time 0.096 (0.191) Loss 2.6832 (2.5509) Prec@1 44.922 (44.175) Prec@5 66.016 (69.415)
Test: [100/196] Time 0.042 (0.188) Loss 2.5719 (2.5476) Prec@1 48.828 (44.450) Prec@5 69.531 (69.473)
Test: [110/196] Time 0.044 (0.185) Loss 2.7121 (2.5486) Prec@1 41.016 (44.503) Prec@5 66.016 (69.450)
Test: [120/196] Time 0.043 (0.185) Loss 2.3407 (2.5444) Prec@1 46.094 (44.541) Prec@5 71.094 (69.515)
Test: [130/196] Time 0.044 (0.184) Loss 2.2563 (2.5406) Prec@1 46.484 (44.543) Prec@5 75.391 (69.579)
Test: [140/196] Time 0.454 (0.185) Loss 2.3414 (2.5413) Prec@1 48.047 (44.492) Prec@5 71.875 (69.523)
Test: [150/196] Time 0.082 (0.181) Loss 2.1748 (2.5394) Prec@1 48.828 (44.586) Prec@5 77.344 (69.588)
Test: [160/196] Time 0.235 (0.184) Loss 2.4659 (2.5379) Prec@1 48.047 (44.633) Prec@5 70.703 (69.616)
Test: [170/196] Time 0.044 (0.180) Loss 2.4217 (2.5396) Prec@1 44.922 (44.623) Prec@5 73.828 (69.570)
Test: [180/196] Time 0.105 (0.180) Loss 2.7202 (2.5449) Prec@1 41.016 (44.471) Prec@5 68.359 (69.451)
Test: [190/196] Time 0.042 (0.181) Loss 2.7626 (2.5479) Prec@1 39.844 (44.390) Prec@5 67.188 (69.396)
* Prec@1 44.364 Prec@5 69.436
Learning rate: 1e-05
Epoch: [63][0/5005] Time 1.196 (1.196) Data 1.094 (1.094) Loss 2.2091 (2.2091) Prec@1 46.094 (46.094) Prec@5 77.344 (77.344)
Epoch: [63][10/5005] Time 0.202 (0.292) Data 0.047 (0.146) Loss 2.1988 (2.2843) Prec@1 48.828 (46.129) Prec@5 72.266 (72.976)
Epoch: [63][20/5005] Time 0.206 (0.249) Data 0.045 (0.100) Loss 2.3228 (2.2837) Prec@1 48.047 (47.042) Prec@5 74.219 (73.270)
Epoch: [63][30/5005] Time 0.203 (0.234) Data 0.049 (0.084) Loss 2.0892 (2.2524) Prec@1 51.172 (48.059) Prec@5 78.516 (73.589)
Epoch: [63][40/5005] Time 0.187 (0.226) Data 0.061 (0.077) Loss 2.1759 (2.2571) Prec@1 51.172 (48.114) Prec@5 75.000 (73.552)
Epoch: [63][50/5005] Time 0.207 (0.222) Data 0.044 (0.071) Loss 2.2417 (2.2558) Prec@1 44.922 (47.986) Prec@5 74.219 (73.713)
Epoch: [63][60/5005] Time 0.202 (0.219) Data 0.058 (0.067) Loss 2.3863 (2.2628) Prec@1 46.875 (47.925) Prec@5 70.703 (73.463)
Epoch: [63][70/5005] Time 0.207 (0.217) Data 0.043 (0.064) Loss 2.3182 (2.2709) Prec@1 48.047 (47.876) Prec@5 74.219 (73.294)
Epoch: [63][80/5005] Time 0.206 (0.215) Data 0.044 (0.061) Loss 2.0437 (2.2607) Prec@1 51.953 (48.071) Prec@5 78.125 (73.452)
Epoch: [63][90/5005] Time 0.196 (0.214) Data 0.039 (0.060) Loss 2.3267 (2.2601) Prec@1 47.656 (48.249) Prec@5 74.219 (73.446)
Epoch: [63][100/5005] Time 0.201 (0.213) Data 0.057 (0.059) Loss 2.0332 (2.2596) Prec@1 50.391 (48.186) Prec@5 78.516 (73.441)
Epoch: [63][110/5005] Time 0.202 (0.212) Data 0.051 (0.058) Loss 2.2547 (2.2614) Prec@1 49.609 (48.283) Prec@5 73.438 (73.395)
Epoch: [63][120/5005] Time 0.202 (0.211) Data 0.051 (0.058) Loss 2.2471 (2.2633) Prec@1 48.828 (48.299) Prec@5 75.391 (73.337)
Epoch: [63][130/5005] Time 0.206 (0.210) Data 0.044 (0.057) Loss 2.4483 (2.2642) Prec@1 45.703 (48.315) Prec@5 72.656 (73.381)
Epoch: [63][140/5005] Time 0.214 (0.210) Data 0.041 (0.056) Loss 2.1180 (2.2604) Prec@1 48.828 (48.321) Prec@5 75.391 (73.490)
Epoch: [63][150/5005] Time 0.204 (0.209) Data 0.043 (0.056) Loss 2.3466 (2.2595) Prec@1 44.922 (48.344) Prec@5 73.438 (73.525)
Epoch: [63][160/5005] Time 0.186 (0.209) Data 0.047 (0.055) Loss 2.1975 (2.2616) Prec@1 48.828 (48.304) Prec@5 72.266 (73.493)
Epoch: [63][170/5005] Time 0.210 (0.209) Data 0.045 (0.055) Loss 2.3774 (2.2604) Prec@1 47.656 (48.298) Prec@5 70.312 (73.463)
Epoch: [63][180/5005] Time 0.209 (0.210) Data 0.044 (0.054) Loss 2.5767 (2.2628) Prec@1 42.969 (48.230) Prec@5 67.188 (73.431)
Epoch: [63][190/5005] Time 0.218 (0.210) Data 0.043 (0.054) Loss 2.4157 (2.2676) Prec@1 42.578 (48.067) Prec@5 73.047 (73.354)
Epoch: [63][200/5005] Time 0.225 (0.211) Data 0.045 (0.053) Loss 2.6136 (2.2702) Prec@1 39.844 (48.029) Prec@5 67.969 (73.268)
Epoch: [63][210/5005] Time 0.220 (0.211) Data 0.044 (0.053) Loss 2.2326 (2.2703) Prec@1 52.344 (48.030) Prec@5 71.484 (73.299)
Epoch: [63][220/5005] Time 0.216 (0.212) Data 0.059 (0.053) Loss 2.3518 (2.2696) Prec@1 44.141 (48.035) Prec@5 73.047 (73.266)
Epoch: [63][230/5005] Time 0.222 (0.212) Data 0.061 (0.053) Loss 2.2877 (2.2693) Prec@1 47.656 (48.074) Prec@5 75.000 (73.301)
Epoch: [63][240/5005] Time 0.225 (0.212) Data 0.044 (0.052) Loss 2.1761 (2.2704) Prec@1 46.484 (48.050) Prec@5 73.828 (73.306)
Epoch: [63][250/5005] Time 0.211 (0.212) Data 0.044 (0.052) Loss 2.3114 (2.2689) Prec@1 43.359 (48.052) Prec@5 75.000 (73.347)
Epoch: [63][260/5005] Time 0.215 (0.213) Data 0.044 (0.052) Loss 2.0362 (2.2684) Prec@1 50.391 (48.041) Prec@5 76.172 (73.361)
Epoch: [63][270/5005] Time 0.214 (0.213) Data 0.047 (0.052) Loss 2.3204 (2.2684) Prec@1 46.484 (48.047) Prec@5 70.703 (73.347)
Epoch: [63][280/5005] Time 0.214 (0.213) Data 0.045 (0.052) Loss 2.7024 (2.2713) Prec@1 40.234 (48.019) Prec@5 64.062 (73.233)
Epoch: [63][290/5005] Time 0.209 (0.213) Data 0.049 (0.052) Loss 2.1197 (2.2708) Prec@1 51.172 (47.988) Prec@5 74.219 (73.229)
Epoch: [63][300/5005] Time 0.213 (0.213) Data 0.049 (0.052) Loss 1.9515 (2.2699) Prec@1 54.297 (47.988) Prec@5 81.250 (73.252)
Epoch: [63][310/5005] Time 0.219 (0.213) Data 0.053 (0.052) Loss 2.1735 (2.2687) Prec@1 52.344 (48.020) Prec@5 75.000 (73.278)
Epoch: [63][320/5005] Time 0.204 (0.213) Data 0.053 (0.052) Loss 2.3638 (2.2700) Prec@1 44.141 (48.021) Prec@5 71.875 (73.251)
Epoch: [63][330/5005] Time 0.223 (0.213) Data 0.057 (0.052) Loss 2.0402 (2.2682) Prec@1 50.000 (48.042) Prec@5 75.391 (73.291)
Epoch: [63][340/5005] Time 0.213 (0.213) Data 0.052 (0.052) Loss 2.3246 (2.2718) Prec@1 47.266 (48.001) Prec@5 73.828 (73.237)
Epoch: [63][350/5005] Time 0.217 (0.213) Data 0.040 (0.052) Loss 2.4008 (2.2714) Prec@1 48.828 (47.973) Prec@5 71.094 (73.266)
Epoch: [63][360/5005] Time 0.217 (0.213) Data 0.048 (0.052) Loss 2.3736 (2.2717) Prec@1 47.266 (47.941) Prec@5 72.266 (73.247)
Epoch: [63][370/5005] Time 0.215 (0.213) Data 0.046 (0.052) Loss 2.2982 (2.2702) Prec@1 46.875 (47.952) Prec@5 72.656 (73.260)
Epoch: [63][380/5005] Time 0.213 (0.213) Data 0.052 (0.052) Loss 2.4045 (2.2709) Prec@1 48.828 (47.932) Prec@5 70.312 (73.232)
Epoch: [63][390/5005] Time 0.215 (0.213) Data 0.063 (0.052) Loss 2.2073 (2.2715) Prec@1 51.172 (47.946) Prec@5 76.562 (73.252)
Epoch: [63][400/5005] Time 0.211 (0.213) Data 0.061 (0.052) Loss 2.1820 (2.2703) Prec@1 44.922 (47.961) Prec@5 74.219 (73.258)
Epoch: [63][410/5005] Time 0.215 (0.213) Data 0.047 (0.052) Loss 2.1313 (2.2694) Prec@1 51.172 (47.986) Prec@5 75.781 (73.289)
Epoch: [63][420/5005] Time 0.198 (0.213) Data 0.060 (0.052) Loss 2.2182 (2.2688) Prec@1 50.391 (48.020) Prec@5 73.438 (73.286)
Epoch: [63][430/5005] Time 0.213 (0.213) Data 0.051 (0.052) Loss 2.1284 (2.2678) Prec@1 51.953 (48.026) Prec@5 74.219 (73.292)
Epoch: [63][440/5005] Time 0.215 (0.213) Data 0.044 (0.052) Loss 2.1748 (2.2671) Prec@1 48.438 (48.005) Prec@5 75.000 (73.301)
Epoch: [63][450/5005] Time 0.212 (0.213) Data 0.058 (0.052) Loss 2.1241 (2.2674) Prec@1 44.922 (47.986) Prec@5 76.172 (73.309)
Epoch: [63][460/5005] Time 0.219 (0.213) Data 0.043 (0.052) Loss 2.2921 (2.2677) Prec@1 49.219 (47.984) Prec@5 71.875 (73.312)
Epoch: [63][470/5005] Time 0.217 (0.213) Data 0.043 (0.052) Loss 2.2165 (2.2684) Prec@1 45.703 (47.966) Prec@5 73.047 (73.292)
Epoch: [63][480/5005] Time 0.207 (0.213) Data 0.047 (0.052) Loss 2.2658 (2.2684) Prec@1 49.219 (47.965) Prec@5 72.656 (73.282)
Epoch: [63][490/5005] Time 0.215 (0.213) Data 0.043 (0.052) Loss 2.1762 (2.2683) Prec@1 50.391 (47.971) Prec@5 73.438 (73.294)
Epoch: [63][500/5005] Time 0.203 (0.213) Data 0.051 (0.052) Loss 2.3985 (2.2699) Prec@1 47.266 (47.959) Prec@5 70.703 (73.273)
Epoch: [63][510/5005] Time 0.218 (0.213) Data 0.044 (0.052) Loss 2.4728 (2.2689) Prec@1 42.188 (47.970) Prec@5 69.531 (73.264)
Epoch: [63][520/5005] Time 0.208 (0.213) Data 0.040 (0.052) Loss 2.2460 (2.2690) Prec@1 48.047 (47.976) Prec@5 73.828 (73.270)
Epoch: [63][530/5005] Time 0.210 (0.213) Data 0.041 (0.052) Loss 2.2331 (2.2689) Prec@1 53.516 (47.992) Prec@5 72.656 (73.265)
Epoch: [63][540/5005] Time 0.204 (0.213) Data 0.051 (0.051) Loss 2.3314 (2.2694) Prec@1 48.438 (47.979) Prec@5 68.750 (73.240)
Epoch: [63][550/5005] Time 0.217 (0.213) Data 0.047 (0.051) Loss 2.2284 (2.2690) Prec@1 48.047 (47.975) Prec@5 74.609 (73.252)
Epoch: [63][560/5005] Time 0.202 (0.213) Data 0.042 (0.051) Loss 2.2433 (2.2690) Prec@1 46.484 (47.981) Prec@5 73.438 (73.258)
Epoch: [63][570/5005] Time 0.215 (0.213) Data 0.044 (0.051) Loss 2.4093 (2.2692) Prec@1 48.047 (47.959) Prec@5 70.703 (73.246)
Epoch: [63][580/5005] Time 0.214 (0.213) Data 0.043 (0.051) Loss 2.3275 (2.2685) Prec@1 47.266 (47.968) Prec@5 73.047 (73.270)
Epoch: [63][590/5005] Time 0.214 (0.213) Data 0.044 (0.051) Loss 2.3280 (2.2686) Prec@1 44.531 (47.978) Prec@5 70.703 (73.256)
Epoch: [63][600/5005] Time 0.215 (0.213) Data 0.042 (0.051) Loss 2.3850 (2.2698) Prec@1 47.266 (47.979) Prec@5 73.828 (73.254)
Epoch: [63][610/5005] Time 0.214 (0.213) Data 0.042 (0.051) Loss 2.1583 (2.2698) Prec@1 48.438 (47.970) Prec@5 78.516 (73.257)
Epoch: [63][620/5005] Time 0.212 (0.213) Data 0.049 (0.051) Loss 2.3185 (2.2697) Prec@1 51.172 (47.992) Prec@5 73.047 (73.251)
Epoch: [63][630/5005] Time 0.216 (0.213) Data 0.044 (0.051) Loss 2.3571 (2.2695) Prec@1 51.172 (48.011) Prec@5 71.484 (73.260)
Epoch: [63][640/5005] Time 0.216 (0.213) Data 0.045 (0.051) Loss 2.1250 (2.2692) Prec@1 52.344 (48.012) Prec@5 72.266 (73.258)
Epoch: [63][650/5005] Time 0.219 (0.213) Data 0.041 (0.050) Loss 2.3081 (2.2693) Prec@1 47.266 (48.013) Prec@5 69.922 (73.253)
Epoch: [63][660/5005] Time 0.205 (0.213) Data 0.058 (0.050) Loss 2.2235 (2.2682) Prec@1 45.312 (48.032) Prec@5 75.781 (73.286)
Epoch: [63][670/5005] Time 0.221 (0.213) Data 0.046 (0.050) Loss 2.4428 (2.2687) Prec@1 44.531 (48.032) Prec@5 72.656 (73.274)
Epoch: [63][680/5005] Time 0.209 (0.213) Data 0.050 (0.050) Loss 2.2401 (2.2684) Prec@1 48.047 (48.042) Prec@5 76.562 (73.281)
Epoch: [63][690/5005] Time 0.206 (0.213) Data 0.060 (0.050) Loss 2.1505 (2.2674) Prec@1 48.828 (48.066) Prec@5 77.344 (73.288)
Epoch: [63][700/5005] Time 0.213 (0.213) Data 0.043 (0.050) Loss 2.2812 (2.2668) Prec@1 50.391 (48.076) Prec@5 71.875 (73.294)
Epoch: [63][710/5005] Time 0.201 (0.213) Data 0.052 (0.050) Loss 2.0460 (2.2664) Prec@1 51.562 (48.090) Prec@5 76.953 (73.288)
Epoch: [63][720/5005] Time 0.205 (0.213) Data 0.044 (0.050) Loss 2.0906 (2.2656) Prec@1 46.484 (48.093) Prec@5 78.125 (73.304)
Epoch: [63][730/5005] Time 0.219 (0.213) Data 0.045 (0.050) Loss 2.3898 (2.2658) Prec@1 46.875 (48.105) Prec@5 71.094 (73.294)
Epoch: [63][740/5005] Time 0.208 (0.213) Data 0.041 (0.050) Loss 2.4476 (2.2660) Prec@1 46.484 (48.096) Prec@5 70.312 (73.287)
Epoch: [63][750/5005] Time 0.216 (0.213) Data 0.045 (0.050) Loss 2.1600 (2.2653) Prec@1 48.828 (48.113) Prec@5 75.391 (73.296)
Epoch: [63][760/5005] Time 0.214 (0.213) Data 0.044 (0.050) Loss 2.2996 (2.2651) Prec@1 47.266 (48.113) Prec@5 71.875 (73.296)
Epoch: [63][770/5005] Time 0.222 (0.213) Data 0.043 (0.050) Loss 2.3077 (2.2640) Prec@1 47.266 (48.127) Prec@5 73.828 (73.329)
Epoch: [63][780/5005] Time 0.213 (0.213) Data 0.046 (0.050) Loss 2.2667 (2.2633) Prec@1 50.391 (48.131) Prec@5 72.656 (73.331)
Epoch: [63][790/5005] Time 0.204 (0.213) Data 0.051 (0.050) Loss 2.2273 (2.2633) Prec@1 49.609 (48.133) Prec@5 73.828 (73.328)
Epoch: [63][800/5005] Time 0.210 (0.213) Data 0.045 (0.050) Loss 2.2222 (2.2627) Prec@1 49.609 (48.168) Prec@5 73.828 (73.335)
Epoch: [63][810/5005] Time 0.216 (0.213) Data 0.049 (0.050) Loss 2.2883 (2.2628) Prec@1 46.094 (48.168) Prec@5 72.656 (73.346)
Epoch: [63][820/5005] Time 0.201 (0.213) Data 0.061 (0.050) Loss 2.3768 (2.2634) Prec@1 43.750 (48.164) Prec@5 69.141 (73.332)
Epoch: [63][830/5005] Time 0.193 (0.213) Data 0.062 (0.050) Loss 2.1980 (2.2633) Prec@1 48.047 (48.173) Prec@5 75.000 (73.339)
Epoch: [63][840/5005] Time 0.215 (0.213) Data 0.044 (0.050) Loss 2.2266 (2.2635) Prec@1 47.266 (48.169) Prec@5 77.734 (73.347)
Epoch: [63][850/5005] Time 0.210 (0.213) Data 0.048 (0.050) Loss 2.4199 (2.2629) Prec@1 44.922 (48.175) Prec@5 72.266 (73.356)
Epoch: [63][860/5005] Time 0.223 (0.213) Data 0.045 (0.050) Loss 2.2597 (2.2630) Prec@1 46.875 (48.175) Prec@5 69.141 (73.344)
Epoch: [63][870/5005] Time 0.214 (0.213) Data 0.043 (0.050) Loss 2.2878 (2.2621) Prec@1 49.609 (48.210) Prec@5 73.438 (73.355)
Epoch: [63][880/5005] Time 0.213 (0.213) Data 0.044 (0.050) Loss 2.0752 (2.2624) Prec@1 51.172 (48.214) Prec@5 76.172 (73.344)
Epoch: [63][890/5005] Time 0.203 (0.213) Data 0.044 (0.050) Loss 2.4092 (2.2617) Prec@1 45.703 (48.212) Prec@5 71.875 (73.356)
Epoch: [63][900/5005] Time 0.214 (0.213) Data 0.042 (0.050) Loss 2.1989 (2.2611) Prec@1 49.219 (48.214) Prec@5 75.000 (73.372)
Epoch: [63][910/5005] Time 0.211 (0.213) Data 0.043 (0.050) Loss 2.2641 (2.2613) Prec@1 46.875 (48.204) Prec@5 76.172 (73.370)
Epoch: [63][920/5005] Time 0.218 (0.213) Data 0.043 (0.050) Loss 2.3376 (2.2605) Prec@1 47.266 (48.219) Prec@5 72.656 (73.386)
Epoch: [63][930/5005] Time 0.218 (0.213) Data 0.043 (0.049) Loss 2.3265 (2.2602) Prec@1 45.312 (48.224) Prec@5 68.359 (73.377)
Epoch: [63][940/5005] Time 0.219 (0.213) Data 0.043 (0.049) Loss 2.0780 (2.2608) Prec@1 51.172 (48.217) Prec@5 74.609 (73.368)
Epoch: [63][950/5005] Time 0.202 (0.213) Data 0.041 (0.049) Loss 2.4372 (2.2614) Prec@1 44.531 (48.204) Prec@5 71.484 (73.361)
Epoch: [63][960/5005] Time 0.213 (0.213) Data 0.043 (0.049) Loss 2.4078 (2.2620) Prec@1 46.875 (48.196) Prec@5 69.922 (73.355)
Epoch: [63][970/5005] Time 0.205 (0.213) Data 0.042 (0.049) Loss 2.2107 (2.2619) Prec@1 50.000 (48.198) Prec@5 74.609 (73.359)
Epoch: [63][980/5005] Time 0.210 (0.213) Data 0.042 (0.049) Loss 2.2647 (2.2614) Prec@1 46.484 (48.204) Prec@5 71.094 (73.361)
Epoch: [63][990/5005] Time 0.220 (0.213) Data 0.046 (0.049) Loss 2.2931 (2.2616) Prec@1 44.922 (48.192) Prec@5 75.000 (73.363)
Epoch: [63][1000/5005] Time 0.217 (0.213) Data 0.059 (0.049) Loss 2.2904 (2.2618) Prec@1 49.219 (48.196) Prec@5 75.781 (73.357)
Epoch: [63][1010/5005] Time 0.215 (0.213) Data 0.043 (0.049) Loss 2.2678 (2.2609) Prec@1 45.703 (48.217) Prec@5 72.266 (73.373)
Epoch: [63][1020/5005] Time 0.216 (0.213) Data 0.044 (0.049) Loss 2.1292 (2.2613) Prec@1 51.562 (48.214) Prec@5 76.953 (73.367)
Epoch: [63][1030/5005] Time 0.220 (0.213) Data 0.049 (0.049) Loss 2.1318 (2.2605) Prec@1 50.781 (48.224) Prec@5 78.125 (73.383)
Epoch: [63][1040/5005] Time 0.210 (0.214) Data 0.041 (0.049) Loss 2.3248 (2.2606) Prec@1 45.312 (48.221) Prec@5 72.266 (73.382)
Epoch: [63][1050/5005] Time 0.198 (0.214) Data 0.046 (0.049) Loss 2.4338 (2.2610) Prec@1 44.531 (48.206) Prec@5 69.922 (73.375)
Epoch: [63][1060/5005] Time 0.215 (0.214) Data 0.045 (0.049) Loss 2.3533 (2.2610) Prec@1 46.094 (48.208) Prec@5 73.438 (73.380)
Epoch: [63][1070/5005] Time 0.209 (0.213) Data 0.058 (0.049) Loss 2.2335 (2.2610) Prec@1 50.391 (48.206) Prec@5 74.609 (73.379)
Epoch: [63][1080/5005] Time 0.215 (0.213) Data 0.047 (0.049) Loss 2.3060 (2.2614) Prec@1 46.875 (48.202) Prec@5 70.703 (73.362)
Epoch: [63][1090/5005] Time 0.209 (0.213) Data 0.046 (0.049) Loss 2.0709 (2.2608) Prec@1 51.953 (48.218) Prec@5 77.344 (73.369)
Epoch: [63][1100/5005] Time 0.206 (0.213) Data 0.051 (0.049) Loss 2.0906 (2.2602) Prec@1 50.000 (48.232) Prec@5 75.000 (73.373)
Epoch: [63][1110/5005] Time 0.206 (0.213) Data 0.051 (0.049) Loss 2.1668 (2.2602) Prec@1 48.828 (48.237) Prec@5 76.172 (73.378)
Epoch: [63][1120/5005] Time 0.208 (0.213) Data 0.064 (0.049) Loss 2.2957 (2.2596) Prec@1 46.484 (48.243) Prec@5 72.266 (73.384)
Epoch: [63][1130/5005] Time 0.214 (0.213) Data 0.047 (0.049) Loss 2.4132 (2.2599) Prec@1 48.047 (48.238) Prec@5 71.094 (73.379)
Epoch: [63][1140/5005] Time 0.213 (0.213) Data 0.047 (0.049) Loss 2.2800 (2.2599) Prec@1 49.219 (48.234) Prec@5 73.438 (73.380)
Epoch: [63][1150/5005] Time 0.205 (0.213) Data 0.045 (0.049) Loss 2.2577 (2.2595) Prec@1 44.922 (48.235) Prec@5 73.438 (73.393)
Epoch: [63][1160/5005] Time 0.218 (0.213) Data 0.041 (0.049) Loss 2.3797 (2.2598) Prec@1 45.703 (48.237) Prec@5 70.312 (73.379)
Epoch: [63][1170/5005] Time 0.202 (0.213) Data 0.066 (0.049) Loss 2.0603 (2.2595) Prec@1 53.906 (48.240) Prec@5 76.172 (73.380)
Epoch: [63][1180/5005] Time 0.214 (0.213) Data 0.046 (0.049) Loss 2.3511 (2.2596) Prec@1 45.312 (48.231) Prec@5 70.703 (73.372)
Epoch: [63][1190/5005] Time 0.211 (0.213) Data 0.048 (0.049) Loss 2.0765 (2.2594) Prec@1 52.344 (48.236) Prec@5 77.734 (73.378)
Epoch: [63][1200/5005] Time 0.217 (0.213) Data 0.044 (0.049) Loss 2.5216 (2.2595) Prec@1 41.016 (48.240) Prec@5 70.312 (73.377)
Epoch: [63][1210/5005] Time 0.212 (0.213) Data 0.050 (0.049) Loss 2.3785 (2.2601) Prec@1 43.750 (48.230) Prec@5 73.047 (73.371)
Epoch: [63][1220/5005] Time 0.199 (0.213) Data 0.050 (0.049) Loss 2.2044 (2.2602) Prec@1 47.656 (48.223) Prec@5 74.219 (73.374)
Epoch: [63][1230/5005] Time 0.205 (0.213) Data 0.052 (0.049) Loss 2.2288 (2.2602) Prec@1 48.828 (48.217) Prec@5 73.047 (73.370)
Epoch: [63][1240/5005] Time 0.210 (0.213) Data 0.043 (0.049) Loss 2.2939 (2.2602) Prec@1 48.047 (48.224) Prec@5 72.266 (73.360)
Epoch: [63][1250/5005] Time 0.203 (0.213) Data 0.062 (0.049) Loss 2.3542 (2.2602) Prec@1 47.266 (48.227) Prec@5 71.875 (73.360)
Epoch: [63][1260/5005] Time 0.217 (0.213) Data 0.045 (0.049) Loss 2.0619 (2.2598) Prec@1 51.953 (48.228) Prec@5 74.609 (73.370)
Epoch: [63][1270/5005] Time 0.220 (0.213) Data 0.044 (0.049) Loss 2.3434 (2.2604) Prec@1 46.484 (48.219) Prec@5 71.875 (73.360)
Epoch: [63][1280/5005] Time 0.205 (0.213) Data 0.041 (0.049) Loss 2.3039 (2.2604) Prec@1 46.875 (48.224) Prec@5 70.703 (73.358)
Epoch: [63][1290/5005] Time 0.218 (0.213) Data 0.043 (0.049) Loss 2.0784 (2.2602) Prec@1 56.250 (48.228) Prec@5 73.438 (73.357)
Epoch: [63][1300/5005] Time 0.205 (0.213) Data 0.059 (0.049) Loss 2.1265 (2.2599) Prec@1 53.125 (48.235) Prec@5 74.609 (73.361)
Epoch: [63][1310/5005] Time 0.206 (0.213) Data 0.042 (0.049) Loss 2.3025 (2.2596) Prec@1 45.703 (48.237) Prec@5 73.047 (73.370)
Epoch: [63][1320/5005] Time 0.211 (0.213) Data 0.051 (0.049) Loss 2.2623 (2.2594) Prec@1 48.438 (48.240) Prec@5 73.047 (73.372)
Epoch: [63][1330/5005] Time 0.214 (0.213) Data 0.044 (0.049) Loss 2.3836 (2.2598) Prec@1 45.312 (48.230) Prec@5 71.484 (73.366)
Epoch: [63][1340/5005] Time 0.206 (0.213) Data 0.043 (0.049) Loss 2.0506 (2.2596) Prec@1 49.219 (48.232) Prec@5 75.391 (73.365)
Epoch: [63][1350/5005] Time 0.220 (0.213) Data 0.043 (0.049) Loss 2.5430 (2.2598) Prec@1 45.312 (48.214) Prec@5 69.531 (73.363)
Epoch: [63][1360/5005] Time 0.199 (0.213) Data 0.044 (0.049) Loss 2.1895 (2.2597) Prec@1 50.000 (48.209) Prec@5 74.219 (73.361)
Epoch: [63][1370/5005] Time 0.214 (0.213) Data 0.044 (0.049) Loss 2.3732 (2.2594) Prec@1 44.922 (48.208) Prec@5 70.312 (73.365)
Epoch: [63][1380/5005] Time 0.212 (0.213) Data 0.042 (0.049) Loss 2.1804 (2.2593) Prec@1 51.562 (48.206) Prec@5 72.656 (73.369)
Epoch: [63][1390/5005] Time 0.211 (0.213) Data 0.043 (0.049) Loss 2.2145 (2.2591) Prec@1 47.656 (48.216) Prec@5 75.391 (73.370)
Epoch: [63][1400/5005] Time 0.192 (0.213) Data 0.051 (0.049) Loss 2.1612 (2.2584) Prec@1 52.734 (48.223) Prec@5 74.219 (73.381)
Epoch: [63][1410/5005] Time 0.209 (0.213) Data 0.049 (0.049) Loss 2.3118 (2.2581) Prec@1 50.000 (48.233) Prec@5 71.484 (73.387)
Epoch: [63][1420/5005] Time 0.205 (0.212) Data 0.045 (0.049) Loss 2.4938 (2.2581) Prec@1 46.094 (48.236) Prec@5 67.969 (73.388)
Epoch: [63][1430/5005] Time 0.213 (0.212) Data 0.063 (0.049) Loss 2.0752 (2.2576) Prec@1 51.562 (48.247) Prec@5 76.172 (73.393)
Epoch: [63][1440/5005] Time 0.201 (0.212) Data 0.049 (0.049) Loss 2.0524 (2.2576) Prec@1 52.344 (48.244) Prec@5 78.125 (73.397)
Epoch: [63][1450/5005] Time 0.214 (0.212) Data 0.043 (0.049) Loss 2.3057 (2.2576) Prec@1 46.875 (48.243) Prec@5 73.047 (73.397)
Epoch: [63][1460/5005] Time 0.208 (0.212) Data 0.042 (0.049) Loss 2.3075 (2.2576) Prec@1 43.359 (48.248) Prec@5 70.703 (73.401)
Epoch: [63][1470/5005] Time 0.215 (0.212) Data 0.043 (0.049) Loss 2.2951 (2.2579) Prec@1 50.000 (48.255) Prec@5 72.656 (73.392)
Epoch: [63][1480/5005] Time 0.198 (0.212) Data 0.060 (0.049) Loss 2.1557 (2.2582) Prec@1 48.438 (48.243) Prec@5 76.172 (73.389)
Epoch: [63][1490/5005] Time 0.216 (0.212) Data 0.045 (0.049) Loss 2.3862 (2.2580) Prec@1 48.438 (48.247) Prec@5 67.188 (73.392)
Epoch: [63][1500/5005] Time 0.210 (0.212) Data 0.043 (0.049) Loss 2.2453 (2.2579) Prec@1 47.266 (48.251) Prec@5 73.438 (73.391)
Epoch: [63][1510/5005] Time 0.211 (0.212) Data 0.042 (0.049) Loss 2.0923 (2.2577) Prec@1 51.172 (48.250) Prec@5 76.562 (73.393)
Epoch: [63][1520/5005] Time 0.212 (0.212) Data 0.044 (0.049) Loss 2.3182 (2.2575) Prec@1 49.219 (48.259) Prec@5 70.703 (73.394)
Epoch: [63][1530/5005] Time 0.208 (0.212) Data 0.043 (0.049) Loss 2.3512 (2.2575) Prec@1 44.922 (48.253) Prec@5 73.047 (73.394)
Epoch: [63][1540/5005] Time 0.213 (0.212) Data 0.043 (0.049) Loss 2.2556 (2.2576) Prec@1 46.484 (48.247) Prec@5 73.828 (73.396)
Epoch: [63][1550/5005] Time 0.211 (0.212) Data 0.044 (0.049) Loss 2.2341 (2.2573) Prec@1 48.828 (48.253) Prec@5 75.000 (73.401)
Epoch: [63][1560/5005] Time 0.213 (0.212) Data 0.045 (0.049) Loss 2.0857 (2.2575) Prec@1 52.344 (48.254) Prec@5 74.219 (73.400)
Epoch: [63][1570/5005] Time 0.212 (0.212) Data 0.046 (0.049) Loss 2.1867 (2.2573) Prec@1 45.312 (48.255) Prec@5 75.781 (73.405)
Epoch: [63][1580/5005] Time 0.214 (0.212) Data 0.044 (0.049) Loss 2.0246 (2.2571) Prec@1 51.562 (48.257) Prec@5 78.125 (73.407)
Epoch: [63][1590/5005] Time 0.204 (0.212) Data 0.042 (0.049) Loss 2.0761 (2.2571) Prec@1 51.172 (48.259) Prec@5 75.000 (73.407)
Epoch: [63][1600/5005] Time 0.208 (0.212) Data 0.043 (0.049) Loss 2.3088 (2.2572) Prec@1 46.094 (48.259) Prec@5 73.438 (73.408)
Epoch: [63][1610/5005] Time 0.206 (0.212) Data 0.050 (0.049) Loss 2.3205 (2.2571) Prec@1 44.922 (48.262) Prec@5 71.875 (73.409)
Epoch: [63][1620/5005] Time 0.209 (0.212) Data 0.048 (0.049) Loss 2.4172 (2.2568) Prec@1 44.141 (48.260) Prec@5 71.094 (73.413)
Epoch: [63][1630/5005] Time 0.204 (0.212) Data 0.050 (0.049) Loss 2.0284 (2.2567) Prec@1 53.516 (48.262) Prec@5 76.562 (73.419)
Epoch: [63][1640/5005] Time 0.207 (0.212) Data 0.059 (0.049) Loss 2.3151 (2.2572) Prec@1 45.703 (48.256) Prec@5 72.656 (73.408)
Epoch: [63][1650/5005] Time 0.205 (0.212) Data 0.049 (0.049) Loss 2.3789 (2.2570) Prec@1 49.219 (48.263) Prec@5 67.969 (73.406)
Epoch: [63][1660/5005] Time 0.204 (0.212) Data 0.040 (0.049) Loss 2.2480 (2.2566) Prec@1 48.438 (48.278) Prec@5 72.266 (73.414)
Epoch: [63][1670/5005] Time 0.207 (0.212) Data 0.060 (0.049) Loss 2.0550 (2.2566) Prec@1 49.609 (48.276) Prec@5 77.344 (73.414)
Epoch: [63][1680/5005] Time 0.206 (0.212) Data 0.057 (0.049) Loss 2.3492 (2.2569) Prec@1 49.609 (48.273) Prec@5 70.703 (73.409)
Epoch: [63][1690/5005] Time 0.216 (0.212) Data 0.042 (0.049) Loss 2.1835 (2.2567) Prec@1 47.266 (48.272) Prec@5 74.219 (73.415)
Epoch: [63][1700/5005] Time 0.214 (0.212) Data 0.046 (0.049) Loss 2.1092 (2.2562) Prec@1 46.484 (48.280) Prec@5 75.391 (73.428)
Epoch: [63][1710/5005] Time 0.218 (0.212) Data 0.044 (0.049) Loss 2.1165 (2.2558) Prec@1 50.000 (48.289) Prec@5 77.734 (73.436)
Epoch: [63][1720/5005] Time 0.206 (0.212) Data 0.044 (0.049) Loss 2.2214 (2.2556) Prec@1 51.172 (48.287) Prec@5 73.438 (73.438)
Epoch: [63][1730/5005] Time 0.213 (0.212) Data 0.044 (0.049) Loss 2.1805 (2.2557) Prec@1 47.266 (48.284) Prec@5 73.438 (73.440)
Epoch: [63][1740/5005] Time 0.212 (0.212) Data 0.044 (0.049) Loss 2.4585 (2.2555) Prec@1 42.969 (48.284) Prec@5 67.188 (73.438)
Epoch: [63][1750/5005] Time 0.207 (0.212) Data 0.049 (0.049) Loss 2.2305 (2.2553) Prec@1 49.219 (48.292) Prec@5 73.438 (73.440)
Epoch: [63][1760/5005] Time 0.214 (0.212) Data 0.044 (0.049) Loss 2.0835 (2.2551) Prec@1 52.734 (48.298) Prec@5 78.125 (73.444)
Epoch: [63][1770/5005] Time 0.204 (0.212) Data 0.042 (0.049) Loss 2.3283 (2.2551) Prec@1 45.703 (48.296) Prec@5 74.609 (73.449)
Epoch: [63][1780/5005] Time 0.201 (0.212) Data 0.044 (0.049) Loss 2.1517 (2.2551) Prec@1 46.875 (48.296) Prec@5 76.172 (73.451)
Epoch: [63][1790/5005] Time 0.213 (0.212) Data 0.049 (0.049) Loss 2.1058 (2.2549) Prec@1 53.125 (48.302) Prec@5 74.609 (73.456)
Epoch: [63][1800/5005] Time 0.210 (0.212) Data 0.047 (0.049) Loss 2.2738 (2.2548) Prec@1 46.484 (48.305) Prec@5 73.047 (73.458)
Epoch: [63][1810/5005] Time 0.201 (0.212) Data 0.047 (0.049) Loss 2.0876 (2.2544) Prec@1 52.734 (48.310) Prec@5 75.781 (73.466)
Epoch: [63][1820/5005] Time 0.214 (0.212) Data 0.041 (0.049) Loss 2.2710 (2.2542) Prec@1 46.875 (48.312) Prec@5 73.828 (73.468)
Epoch: [63][1830/5005] Time 0.213 (0.212) Data 0.043 (0.049) Loss 2.0151 (2.2537) Prec@1 52.734 (48.317) Prec@5 78.125 (73.479)
Epoch: [63][1840/5005] Time 0.213 (0.212) Data 0.039 (0.049) Loss 2.4199 (2.2535) Prec@1 44.141 (48.317) Prec@5 70.312 (73.483)
Epoch: [63][1850/5005] Time 0.211 (0.212) Data 0.042 (0.049) Loss 2.1651 (2.2532) Prec@1 49.219 (48.325) Prec@5 74.609 (73.488)
Epoch: [63][1860/5005] Time 0.209 (0.212) Data 0.061 (0.049) Loss 2.2033 (2.2533) Prec@1 49.609 (48.329) Prec@5 73.828 (73.489)
Epoch: [63][1870/5005] Time 0.204 (0.212) Data 0.051 (0.049) Loss 2.4300 (2.2535) Prec@1 43.359 (48.323) Prec@5 73.047 (73.488)
Epoch: [63][1880/5005] Time 0.205 (0.212) Data 0.051 (0.049) Loss 2.1872 (2.2536) Prec@1 50.000 (48.324) Prec@5 76.172 (73.487)
Epoch: [63][1890/5005] Time 0.215 (0.212) Data 0.046 (0.049) Loss 2.2895 (2.2538) Prec@1 49.609 (48.325) Prec@5 72.266 (73.485)
Epoch: [63][1900/5005] Time 0.205 (0.212) Data 0.053 (0.049) Loss 2.3207 (2.2545) Prec@1 48.438 (48.313) Prec@5 73.828 (73.479)
Epoch: [63][1910/5005] Time 0.209 (0.212) Data 0.047 (0.049) Loss 2.1792 (2.2543) Prec@1 45.703 (48.310) Prec@5 75.391 (73.477)
Epoch: [63][1920/5005] Time 0.212 (0.212) Data 0.046 (0.049) Loss 2.0797 (2.2540) Prec@1 49.609 (48.312) Prec@5 77.344 (73.479)
Epoch: [63][1930/5005] Time 0.210 (0.212) Data 0.046 (0.049) Loss 2.1536 (2.2538) Prec@1 50.781 (48.321) Prec@5 74.219 (73.484)
Epoch: [63][1940/5005] Time 0.206 (0.212) Data 0.044 (0.049) Loss 2.0711 (2.2535) Prec@1 49.219 (48.323) Prec@5 77.344 (73.489)
Epoch: [63][1950/5005] Time 0.209 (0.212) Data 0.044 (0.049) Loss 2.3958 (2.2535) Prec@1 44.922 (48.322) Prec@5 72.656 (73.490)
Epoch: [63][1960/5005] Time 0.207 (0.212) Data 0.043 (0.049) Loss 2.1222 (2.2531) Prec@1 50.000 (48.326) Prec@5 75.000 (73.497)
Epoch: [63][1970/5005] Time 0.205 (0.212) Data 0.044 (0.048) Loss 2.2840 (2.2532) Prec@1 49.609 (48.323) Prec@5 72.266 (73.496)
Epoch: [63][1980/5005] Time 0.208 (0.212) Data 0.045 (0.048) Loss 2.0508 (2.2532) Prec@1 51.562 (48.323) Prec@5 75.000 (73.498)
Epoch: [63][1990/5005] Time 0.201 (0.212) Data 0.061 (0.048) Loss 2.0525 (2.2529) Prec@1 50.781 (48.325) Prec@5 73.438 (73.501)
Epoch: [63][2000/5005] Time 0.268 (0.212) Data 0.043 (0.048) Loss 2.0087 (2.2528) Prec@1 52.734 (48.326) Prec@5 79.688 (73.506)
Epoch: [63][2010/5005] Time 0.204 (0.212) Data 0.060 (0.048) Loss 2.2024 (2.2528) Prec@1 48.828 (48.323) Prec@5 74.219 (73.503)
Epoch: [63][2020/5005] Time 0.199 (0.212) Data 0.047 (0.048) Loss 2.3080 (2.2527) Prec@1 45.312 (48.324) Prec@5 73.438 (73.499)
Epoch: [63][2030/5005] Time 0.214 (0.212) Data 0.045 (0.048) Loss 2.2366 (2.2529) Prec@1 49.219 (48.322) Prec@5 73.047 (73.492)
Epoch: [63][2040/5005] Time 0.204 (0.212) Data 0.052 (0.048) Loss 2.0238 (2.2527) Prec@1 50.391 (48.324) Prec@5 78.125 (73.494)
Epoch: [63][2050/5005] Time 0.209 (0.212) Data 0.053 (0.048) Loss 2.2095 (2.2524) Prec@1 50.781 (48.326) Prec@5 74.219 (73.500)
Epoch: [63][2060/5005] Time 0.200 (0.212) Data 0.052 (0.048) Loss 2.2489 (2.2524) Prec@1 46.484 (48.318) Prec@5 74.219 (73.503)
Epoch: [63][2070/5005] Time 0.211 (0.212) Data 0.063 (0.048) Loss 2.4433 (2.2526) Prec@1 46.094 (48.318) Prec@5 72.656 (73.500)
Epoch: [63][2080/5005] Time 0.202 (0.212) Data 0.066 (0.048) Loss 2.3159 (2.2527) Prec@1 47.656 (48.321) Prec@5 71.484 (73.502)
Epoch: [63][2090/5005] Time 0.215 (0.212) Data 0.047 (0.049) Loss 2.0857 (2.2523) Prec@1 52.344 (48.327) Prec@5 77.344 (73.508)
Epoch: [63][2100/5005] Time 0.205 (0.212) Data 0.050 (0.049) Loss 2.2878 (2.2522) Prec@1 42.578 (48.326) Prec@5 73.438 (73.510)
Epoch: [63][2110/5005] Time 0.212 (0.212) Data 0.049 (0.049) Loss 2.1014 (2.2522) Prec@1 53.516 (48.328) Prec@5 76.953 (73.510)
Epoch: [63][2120/5005] Time 0.213 (0.212) Data 0.043 (0.049) Loss 2.2871 (2.2523) Prec@1 48.438 (48.326) Prec@5 75.000 (73.514)
Epoch: [63][2130/5005] Time 0.195 (0.212) Data 0.047 (0.049) Loss 2.3140 (2.2519) Prec@1 48.047 (48.336) Prec@5 71.094 (73.521)
Epoch: [63][2140/5005] Time 0.211 (0.212) Data 0.062 (0.049) Loss 2.1513 (2.2518) Prec@1 51.172 (48.339) Prec@5 75.391 (73.520)
Epoch: [63][2150/5005] Time 0.207 (0.212) Data 0.041 (0.049) Loss 2.0888 (2.2518) Prec@1 48.047 (48.338) Prec@5 77.344 (73.520)
Epoch: [63][2160/5005] Time 0.201 (0.212) Data 0.048 (0.049) Loss 2.1557 (2.2516) Prec@1 46.875 (48.339) Prec@5 75.781 (73.525)
Epoch: [63][2170/5005] Time 0.217 (0.212) Data 0.042 (0.049) Loss 2.0925 (2.2511) Prec@1 50.391 (48.347) Prec@5 74.609 (73.532)
Epoch: [63][2180/5005] Time 0.205 (0.212) Data 0.043 (0.048) Loss 2.2272 (2.2511) Prec@1 53.516 (48.352) Prec@5 75.391 (73.535)
Epoch: [63][2190/5005] Time 0.203 (0.212) Data 0.047 (0.048) Loss 2.5855 (2.2513) Prec@1 44.922 (48.352) Prec@5 64.062 (73.532)
Epoch: [63][2200/5005] Time 0.204 (0.212) Data 0.039 (0.048) Loss 2.2726 (2.2513) Prec@1 45.703 (48.346) Prec@5 73.438 (73.533)
Epoch: [63][2210/5005] Time 0.197 (0.212) Data 0.058 (0.048) Loss 2.3501 (2.2518) Prec@1 47.266 (48.341) Prec@5 69.922 (73.528)
Epoch: [63][2220/5005] Time 0.216 (0.212) Data 0.046 (0.048) Loss 2.4293 (2.2516) Prec@1 45.703 (48.348) Prec@5 72.656 (73.530)
Epoch: [63][2230/5005] Time 0.202 (0.212) Data 0.048 (0.049) Loss 2.1759 (2.2516) Prec@1 49.609 (48.346) Prec@5 76.562 (73.530)
Epoch: [63][2240/5005] Time 0.212 (0.212) Data 0.043 (0.048) Loss 2.1841 (2.2518) Prec@1 49.219 (48.343) Prec@5 76.562 (73.527)
Epoch: [63][2250/5005] Time 0.211 (0.212) Data 0.042 (0.048) Loss 2.0055 (2.2516) Prec@1 53.125 (48.346) Prec@5 76.953 (73.527)
Epoch: [63][2260/5005] Time 0.213 (0.212) Data 0.047 (0.048) Loss 2.1599 (2.2514) Prec@1 49.609 (48.348) Prec@5 75.000 (73.532)
Epoch: [63][2270/5005] Time 0.214 (0.212) Data 0.044 (0.048) Loss 2.3124 (2.2512) Prec@1 44.922 (48.351) Prec@5 73.438 (73.536)
Epoch: [63][2280/5005] Time 0.211 (0.212) Data 0.044 (0.048) Loss 2.2492 (2.2513) Prec@1 50.000 (48.348) Prec@5 74.609 (73.534)
Epoch: [63][2290/5005] Time 0.215 (0.212) Data 0.042 (0.048) Loss 1.9908 (2.2511) Prec@1 55.859 (48.351) Prec@5 78.125 (73.537)
Epoch: [63][2300/5005] Time 0.207 (0.212) Data 0.049 (0.048) Loss 2.2350 (2.2510) Prec@1 49.219 (48.358) Prec@5 70.312 (73.538)
Epoch: [63][2310/5005] Time 0.208 (0.211) Data 0.056 (0.048) Loss 2.1136 (2.2508) Prec@1 49.219 (48.362) Prec@5 73.828 (73.541)
Epoch: [63][2320/5005] Time 0.211 (0.211) Data 0.045 (0.048) Loss 2.3838 (2.2509) Prec@1 43.750 (48.364) Prec@5 69.531 (73.540)
Epoch: [63][2330/5005] Time 0.208 (0.211) Data 0.042 (0.049) Loss 2.0539 (2.2505) Prec@1 55.859 (48.373) Prec@5 75.391 (73.545)
Epoch: [63][2340/5005] Time 0.195 (0.211) Data 0.049 (0.049) Loss 2.2185 (2.2504) Prec@1 46.094 (48.373) Prec@5 75.391 (73.547)
Epoch: [63][2350/5005] Time 0.209 (0.211) Data 0.043 (0.049) Loss 2.3145 (2.2504) Prec@1 44.922 (48.369) Prec@5 70.312 (73.545)
Epoch: [63][2360/5005] Time 0.204 (0.211) Data 0.066 (0.049) Loss 2.1950 (2.2504) Prec@1 48.438 (48.371) Prec@5 73.047 (73.542)
Epoch: [63][2370/5005] Time 0.211 (0.211) Data 0.046 (0.049) Loss 2.2174 (2.2504) Prec@1 46.484 (48.370) Prec@5 73.047 (73.539)
Epoch: [63][2380/5005] Time 0.207 (0.211) Data 0.065 (0.049) Loss 2.0835 (2.2501) Prec@1 50.391 (48.368) Prec@5 75.391 (73.547)
Epoch: [63][2390/5005] Time 0.207 (0.211) Data 0.047 (0.049) Loss 2.2724 (2.2501) Prec@1 50.781 (48.371) Prec@5 75.781 (73.548)
Epoch: [63][2400/5005] Time 0.207 (0.211) Data 0.045 (0.049) Loss 2.1880 (2.2500) Prec@1 50.781 (48.368) Prec@5 74.609 (73.550)
Epoch: [63][2410/5005] Time 0.201 (0.211) Data 0.046 (0.049) Loss 2.4719 (2.2501) Prec@1 42.578 (48.362) Prec@5 71.484 (73.546)
Epoch: [63][2420/5005] Time 0.204 (0.211) Data 0.045 (0.049) Loss 2.3120 (2.2500) Prec@1 47.656 (48.366) Prec@5 73.438 (73.548)
Epoch: [63][2430/5005] Time 0.216 (0.211) Data 0.047 (0.049) Loss 2.1922 (2.2501) Prec@1 48.438 (48.362) Prec@5 74.219 (73.544)
Epoch: [63][2440/5005] Time 0.193 (0.211) Data 0.047 (0.048) Loss 2.0503 (2.2500) Prec@1 51.172 (48.371) Prec@5 79.297 (73.545)
Epoch: [63][2450/5005] Time 0.207 (0.211) Data 0.047 (0.048) Loss 2.1569 (2.2498) Prec@1 48.828 (48.375) Prec@5 72.266 (73.547)
Epoch: [63][2460/5005] Time 0.209 (0.211) Data 0.048 (0.048) Loss 2.3407 (2.2497) Prec@1 44.922 (48.375) Prec@5 73.438 (73.548)
Epoch: [63][2470/5005] Time 0.208 (0.211) Data 0.050 (0.048) Loss 2.1560 (2.2495) Prec@1 47.656 (48.378) Prec@5 76.172 (73.553)
Epoch: [63][2480/5005] Time 0.190 (0.211) Data 0.062 (0.048) Loss 2.2997 (2.2496) Prec@1 47.266 (48.379) Prec@5 72.656 (73.551)
Epoch: [63][2490/5005] Time 0.218 (0.211) Data 0.046 (0.049) Loss 2.0065 (2.2496) Prec@1 57.812 (48.385) Prec@5 80.859 (73.554)
Epoch: [63][2500/5005] Time 0.217 (0.211) Data 0.046 (0.049) Loss 2.2271 (2.2495) Prec@1 49.219 (48.384) Prec@5 71.875 (73.556)
Epoch: [63][2510/5005] Time 0.205 (0.211) Data 0.046 (0.048) Loss 2.2985 (2.2498) Prec@1 46.875 (48.376) Prec@5 72.266 (73.551)
Epoch: [63][2520/5005] Time 0.196 (0.211) Data 0.044 (0.048) Loss 2.1086 (2.2497) Prec@1 48.828 (48.378) Prec@5 76.953 (73.554)
Epoch: [63][2530/5005] Time 0.198 (0.211) Data 0.041 (0.048) Loss 2.3923 (2.2497) Prec@1 43.750 (48.377) Prec@5 69.922 (73.554)
Epoch: [63][2540/5005] Time 0.199 (0.211) Data 0.058 (0.048) Loss 2.2219 (2.2496) Prec@1 47.656 (48.381) Prec@5 74.609 (73.553)
Epoch: [63][2550/5005] Time 0.210 (0.211) Data 0.053 (0.048) Loss 2.1061 (2.2495) Prec@1 49.219 (48.385) Prec@5 77.344 (73.554)
Epoch: [63][2560/5005] Time 0.207 (0.211) Data 0.057 (0.048) Loss 2.5160 (2.2495) Prec@1 40.625 (48.381) Prec@5 67.188 (73.552)
Epoch: [63][2570/5005] Time 0.207 (0.211) Data 0.050 (0.049) Loss 2.2101 (2.2496) Prec@1 46.875 (48.382) Prec@5 75.000 (73.553)
Epoch: [63][2580/5005] Time 0.205 (0.211) Data 0.056 (0.049) Loss 2.3502 (2.2498) Prec@1 46.484 (48.374) Prec@5 70.312 (73.547)
Epoch: [63][2590/5005] Time 0.212 (0.211) Data 0.043 (0.049) Loss 2.3599 (2.2498) Prec@1 48.438 (48.378) Prec@5 71.484 (73.547)
Epoch: [63][2600/5005] Time 0.216 (0.211) Data 0.047 (0.048) Loss 2.4528 (2.2499) Prec@1 46.094 (48.380) Prec@5 71.484 (73.544)
Epoch: [63][2610/5005] Time 0.211 (0.211) Data 0.046 (0.048) Loss 2.4873 (2.2495) Prec@1 45.312 (48.391) Prec@5 69.531 (73.549)
Epoch: [63][2620/5005] Time 0.200 (0.211) Data 0.048 (0.048) Loss 2.2120 (2.2494) Prec@1 44.531 (48.389) Prec@5 75.391 (73.552)
Epoch: [63][2630/5005] Time 0.209 (0.211) Data 0.051 (0.048) Loss 2.4750 (2.2499) Prec@1 47.266 (48.385) Prec@5 70.312 (73.544)
Epoch: [63][2640/5005] Time 0.209 (0.211) Data 0.046 (0.049) Loss 2.4233 (2.2499) Prec@1 43.359 (48.384) Prec@5 67.969 (73.543)
Epoch: [63][2650/5005] Time 0.209 (0.211) Data 0.048 (0.049) Loss 2.3528 (2.2499) Prec@1 48.047 (48.384) Prec@5 70.312 (73.541)
Epoch: [63][2660/5005] Time 0.208 (0.211) Data 0.052 (0.049) Loss 2.1320 (2.2498) Prec@1 51.172 (48.386) Prec@5 73.828 (73.542)
Epoch: [63][2670/5005] Time 0.205 (0.211) Data 0.061 (0.049) Loss 1.9300 (2.2496) Prec@1 50.000 (48.394) Prec@5 77.734 (73.545)
Epoch: [63][2680/5005] Time 0.213 (0.211) Data 0.042 (0.049) Loss 2.1120 (2.2496) Prec@1 50.391 (48.391) Prec@5 72.656 (73.541)
Epoch: [63][2690/5005] Time 0.198 (0.211) Data 0.044 (0.049) Loss 2.1107 (2.2496) Prec@1 51.562 (48.389) Prec@5 78.516 (73.543)
Epoch: [63][2700/5005] Time 0.212 (0.211) Data 0.044 (0.049) Loss 2.2136 (2.2497) Prec@1 48.828 (48.387) Prec@5 72.656 (73.541)
Epoch: [63][2710/5005] Time 0.203 (0.211) Data 0.046 (0.049) Loss 2.0784 (2.2498) Prec@1 51.562 (48.386) Prec@5 75.781 (73.542)
Epoch: [63][2720/5005] Time 0.203 (0.211) Data 0.059 (0.049) Loss 2.2116 (2.2499) Prec@1 49.219 (48.387) Prec@5 74.609 (73.543)
Epoch: [63][2730/5005] Time 0.194 (0.211) Data 0.063 (0.049) Loss 2.3418 (2.2497) Prec@1 45.312 (48.386) Prec@5 71.875 (73.547)
Epoch: [63][2740/5005] Time 0.210 (0.211) Data 0.046 (0.049) Loss 2.1598 (2.2495) Prec@1 51.562 (48.393) Prec@5 74.219 (73.549)
Epoch: [63][2750/5005] Time 0.208 (0.211) Data 0.049 (0.049) Loss 2.2664 (2.2494) Prec@1 46.094 (48.394) Prec@5 73.828 (73.552)
Epoch: [63][2760/5005] Time 0.211 (0.211) Data 0.042 (0.048) Loss 2.1922 (2.2493) Prec@1 51.562 (48.397) Prec@5 74.609 (73.554)
Epoch: [63][2770/5005] Time 0.206 (0.211) Data 0.042 (0.048) Loss 2.1544 (2.2493) Prec@1 47.266 (48.398) Prec@5 74.609 (73.555)
Epoch: [63][2780/5005] Time 0.200 (0.211) Data 0.047 (0.048) Loss 2.4540 (2.2493) Prec@1 42.969 (48.399) Prec@5 73.047 (73.557)
Epoch: [63][2790/5005] Time 0.213 (0.211) Data 0.041 (0.048) Loss 2.5097 (2.2493) Prec@1 44.141 (48.402) Prec@5 68.750 (73.558)
Epoch: [63][2800/5005] Time 0.210 (0.211) Data 0.043 (0.048) Loss 2.0267 (2.2493) Prec@1 54.688 (48.406) Prec@5 76.562 (73.559)
Epoch: [63][2810/5005] Time 0.213 (0.211) Data 0.044 (0.048) Loss 2.4224 (2.2493) Prec@1 48.828 (48.408) Prec@5 70.703 (73.555)
Epoch: [63][2820/5005] Time 0.211 (0.211) Data 0.043 (0.048) Loss 1.9945 (2.2490) Prec@1 50.781 (48.412) Prec@5 78.125 (73.559)
Epoch: [63][2830/5005] Time 0.205 (0.211) Data 0.052 (0.048) Loss 2.3951 (2.2491) Prec@1 46.094 (48.412) Prec@5 71.875 (73.560)
Epoch: [63][2840/5005] Time 0.209 (0.211) Data 0.050 (0.048) Loss 2.2511 (2.2490) Prec@1 45.703 (48.410) Prec@5 73.047 (73.559)
Epoch: [63][2850/5005] Time 0.208 (0.211) Data 0.048 (0.048) Loss 2.1424 (2.2489) Prec@1 52.344 (48.416) Prec@5 73.828 (73.561)
Epoch: [63][2860/5005] Time 0.212 (0.211) Data 0.046 (0.048) Loss 2.2565 (2.2490) Prec@1 46.875 (48.417) Prec@5 70.312 (73.558)
Epoch: [63][2870/5005] Time 0.209 (0.211) Data 0.048 (0.048) Loss 2.0902 (2.2487) Prec@1 49.219 (48.424) Prec@5 76.562 (73.564)
Epoch: [63][2880/5005] Time 0.204 (0.211) Data 0.053 (0.048) Loss 2.2197 (2.2488) Prec@1 48.438 (48.423) Prec@5 73.047 (73.562)
Epoch: [63][2890/5005] Time 0.201 (0.211) Data 0.042 (0.048) Loss 2.3240 (2.2487) Prec@1 45.312 (48.422) Prec@5 73.828 (73.564)
Epoch: [63][2900/5005] Time 0.197 (0.211) Data 0.045 (0.048) Loss 1.9677 (2.2484) Prec@1 52.734 (48.426) Prec@5 80.078 (73.570)
Epoch: [63][2910/5005] Time 0.201 (0.211) Data 0.043 (0.048) Loss 2.2003 (2.2485) Prec@1 48.047 (48.427) Prec@5 77.344 (73.572)
Epoch: [63][2920/5005] Time 0.206 (0.211) Data 0.048 (0.048) Loss 2.2089 (2.2484) Prec@1 50.000 (48.430) Prec@5 73.047 (73.574)
Epoch: [63][2930/5005] Time 0.209 (0.211) Data 0.045 (0.048) Loss 2.3954 (2.2484) Prec@1 42.578 (48.433) Prec@5 73.828 (73.577)
Epoch: [63][2940/5005] Time 0.204 (0.211) Data 0.045 (0.048) Loss 2.3301 (2.2482) Prec@1 47.656 (48.436) Prec@5 72.266 (73.583)
Epoch: [63][2950/5005] Time 0.207 (0.211) Data 0.045 (0.048) Loss 2.4091 (2.2480) Prec@1 42.188 (48.439) Prec@5 73.438 (73.587)
Epoch: [63][2960/5005] Time 0.209 (0.211) Data 0.046 (0.048) Loss 2.2376 (2.2478) Prec@1 48.438 (48.443) Prec@5 72.656 (73.586)
Epoch: [63][2970/5005] Time 0.201 (0.211) Data 0.043 (0.048) Loss 2.3639 (2.2476) Prec@1 43.750 (48.444) Prec@5 72.656 (73.592)
Epoch: [63][2980/5005] Time 0.207 (0.211) Data 0.042 (0.048) Loss 2.3857 (2.2477) Prec@1 46.484 (48.446) Prec@5 71.875 (73.592)
Epoch: [63][2990/5005] Time 0.213 (0.211) Data 0.043 (0.048) Loss 2.1415 (2.2476) Prec@1 53.516 (48.449) Prec@5 75.391 (73.594)
Epoch: [63][3000/5005] Time 0.213 (0.211) Data 0.043 (0.048) Loss 2.2613 (2.2475) Prec@1 44.922 (48.448) Prec@5 75.781 (73.596)
Epoch: [63][3010/5005] Time 0.205 (0.211) Data 0.048 (0.048) Loss 2.1841 (2.2474) Prec@1 47.656 (48.443) Prec@5 75.391 (73.599)
Epoch: [63][3020/5005] Time 0.211 (0.211) Data 0.046 (0.048) Loss 2.1167 (2.2475) Prec@1 49.609 (48.440) Prec@5 76.953 (73.597)
Epoch: [63][3030/5005] Time 0.210 (0.211) Data 0.043 (0.048) Loss 2.2654 (2.2475) Prec@1 51.562 (48.442) Prec@5 74.219 (73.599)
Epoch: [63][3040/5005] Time 0.205 (0.211) Data 0.044 (0.048) Loss 2.1966 (2.2475) Prec@1 47.266 (48.443) Prec@5 72.266 (73.599)
Epoch: [63][3050/5005] Time 0.206 (0.211) Data 0.049 (0.048) Loss 2.2547 (2.2475) Prec@1 42.969 (48.440) Prec@5 74.219 (73.598)
Epoch: [63][3060/5005] Time 0.215 (0.211) Data 0.042 (0.048) Loss 2.1307 (2.2473) Prec@1 53.125 (48.438) Prec@5 74.219 (73.604)
Epoch: [63][3070/5005] Time 0.202 (0.211) Data 0.050 (0.048) Loss 2.2312 (2.2473) Prec@1 44.922 (48.437) Prec@5 72.656 (73.602)
Epoch: [63][3080/5005] Time 0.208 (0.211) Data 0.048 (0.048) Loss 2.1885 (2.2473) Prec@1 46.094 (48.437) Prec@5 73.828 (73.604)
Epoch: [63][3090/5005] Time 0.213 (0.211) Data 0.045 (0.048) Loss 2.3317 (2.2472) Prec@1 45.312 (48.441) Prec@5 73.828 (73.608)
Epoch: [63][3100/5005] Time 0.211 (0.211) Data 0.041 (0.048) Loss 2.2858 (2.2471) Prec@1 45.312 (48.438) Prec@5 74.609 (73.608)
Epoch: [63][3110/5005] Time 0.194 (0.211) Data 0.051 (0.048) Loss 1.9558 (2.2468) Prec@1 52.734 (48.442) Prec@5 79.297 (73.614)
Epoch: [63][3120/5005] Time 0.213 (0.211) Data 0.041 (0.048) Loss 2.2876 (2.2468) Prec@1 48.828 (48.444) Prec@5 75.391 (73.613)
Epoch: [63][3130/5005] Time 0.213 (0.211) Data 0.042 (0.048) Loss 2.3399 (2.2466) Prec@1 44.922 (48.447) Prec@5 72.266 (73.616)
Epoch: [63][3140/5005] Time 0.208 (0.211) Data 0.050 (0.048) Loss 1.9307 (2.2463) Prec@1 54.297 (48.453) Prec@5 78.125 (73.617)
Epoch: [63][3150/5005] Time 0.208 (0.211) Data 0.047 (0.048) Loss 2.3244 (2.2462) Prec@1 48.828 (48.461) Prec@5 73.828 (73.620)
Epoch: [63][3160/5005] Time 0.201 (0.211) Data 0.043 (0.048) Loss 2.2134 (2.2462) Prec@1 51.953 (48.466) Prec@5 71.484 (73.622)
Epoch: [63][3170/5005] Time 0.210 (0.210) Data 0.045 (0.048) Loss 2.2278 (2.2462) Prec@1 50.781 (48.467) Prec@5 75.000 (73.620)
Epoch: [63][3180/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.0972 (2.2462) Prec@1 57.422 (48.470) Prec@5 73.047 (73.620)
Epoch: [63][3190/5005] Time 0.206 (0.210) Data 0.041 (0.048) Loss 2.2865 (2.2462) Prec@1 48.047 (48.472) Prec@5 73.828 (73.623)
Epoch: [63][3200/5005] Time 0.213 (0.210) Data 0.053 (0.048) Loss 2.3146 (2.2460) Prec@1 44.141 (48.478) Prec@5 76.562 (73.627)
Epoch: [63][3210/5005] Time 0.191 (0.210) Data 0.051 (0.048) Loss 2.3719 (2.2461) Prec@1 46.094 (48.477) Prec@5 73.047 (73.627)
Epoch: [63][3220/5005] Time 0.203 (0.210) Data 0.048 (0.048) Loss 2.3539 (2.2460) Prec@1 48.047 (48.480) Prec@5 72.656 (73.626)
Epoch: [63][3230/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.1521 (2.2458) Prec@1 53.125 (48.488) Prec@5 75.391 (73.629)
Epoch: [63][3240/5005] Time 0.218 (0.210) Data 0.046 (0.048) Loss 2.5190 (2.2459) Prec@1 41.797 (48.486) Prec@5 69.141 (73.627)
Epoch: [63][3250/5005] Time 0.213 (0.210) Data 0.044 (0.048) Loss 2.2196 (2.2460) Prec@1 48.047 (48.485) Prec@5 73.828 (73.628)
Epoch: [63][3260/5005] Time 0.205 (0.210) Data 0.059 (0.048) Loss 2.0848 (2.2460) Prec@1 50.781 (48.483) Prec@5 76.172 (73.627)
Epoch: [63][3270/5005] Time 0.205 (0.210) Data 0.040 (0.048) Loss 2.2711 (2.2459) Prec@1 50.000 (48.483) Prec@5 70.312 (73.629)
Epoch: [63][3280/5005] Time 0.201 (0.210) Data 0.044 (0.048) Loss 2.1599 (2.2459) Prec@1 51.562 (48.483) Prec@5 76.172 (73.628)
Epoch: [63][3290/5005] Time 0.208 (0.210) Data 0.042 (0.048) Loss 2.2762 (2.2457) Prec@1 45.703 (48.486) Prec@5 74.609 (73.630)
Epoch: [63][3300/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.0902 (2.2456) Prec@1 48.438 (48.489) Prec@5 76.172 (73.630)
Epoch: [63][3310/5005] Time 0.205 (0.210) Data 0.042 (0.048) Loss 2.0742 (2.2455) Prec@1 47.656 (48.491) Prec@5 76.172 (73.631)
Epoch: [63][3320/5005] Time 0.201 (0.210) Data 0.051 (0.048) Loss 2.2767 (2.2454) Prec@1 49.219 (48.494) Prec@5 73.047 (73.634)
Epoch: [63][3330/5005] Time 0.208 (0.210) Data 0.046 (0.048) Loss 2.3451 (2.2454) Prec@1 46.875 (48.493) Prec@5 69.922 (73.631)
Epoch: [63][3340/5005] Time 0.212 (0.210) Data 0.045 (0.048) Loss 2.2839 (2.2454) Prec@1 47.656 (48.495) Prec@5 75.000 (73.631)
Epoch: [63][3350/5005] Time 0.196 (0.210) Data 0.046 (0.048) Loss 2.4005 (2.2455) Prec@1 44.922 (48.491) Prec@5 71.484 (73.628)
Epoch: [63][3360/5005] Time 0.212 (0.210) Data 0.048 (0.048) Loss 2.1496 (2.2456) Prec@1 51.562 (48.491) Prec@5 76.562 (73.626)
Epoch: [63][3370/5005] Time 0.199 (0.210) Data 0.061 (0.048) Loss 2.2985 (2.2458) Prec@1 44.141 (48.484) Prec@5 72.656 (73.623)
Epoch: [63][3380/5005] Time 0.205 (0.210) Data 0.052 (0.048) Loss 2.3454 (2.2458) Prec@1 45.703 (48.484) Prec@5 70.703 (73.624)
Epoch: [63][3390/5005] Time 0.205 (0.210) Data 0.048 (0.048) Loss 2.0815 (2.2458) Prec@1 51.953 (48.482) Prec@5 74.609 (73.622)
Epoch: [63][3400/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.2406 (2.2459) Prec@1 49.219 (48.481) Prec@5 73.828 (73.619)
Epoch: [63][3410/5005] Time 0.204 (0.210) Data 0.043 (0.048) Loss 2.1392 (2.2456) Prec@1 53.125 (48.488) Prec@5 77.344 (73.625)
Epoch: [63][3420/5005] Time 0.209 (0.210) Data 0.048 (0.048) Loss 2.1399 (2.2455) Prec@1 47.656 (48.486) Prec@5 77.344 (73.627)
Epoch: [63][3430/5005] Time 0.196 (0.210) Data 0.047 (0.048) Loss 2.2766 (2.2455) Prec@1 47.266 (48.486) Prec@5 69.922 (73.628)
Epoch: [63][3440/5005] Time 0.207 (0.210) Data 0.047 (0.048) Loss 2.3491 (2.2455) Prec@1 47.266 (48.487) Prec@5 72.656 (73.630)
Epoch: [63][3450/5005] Time 0.201 (0.210) Data 0.045 (0.048) Loss 2.1275 (2.2454) Prec@1 48.828 (48.488) Prec@5 78.125 (73.634)
Epoch: [63][3460/5005] Time 0.202 (0.210) Data 0.064 (0.048) Loss 2.1112 (2.2454) Prec@1 50.000 (48.491) Prec@5 75.391 (73.633)
Epoch: [63][3470/5005] Time 0.206 (0.210) Data 0.043 (0.048) Loss 2.1358 (2.2451) Prec@1 50.781 (48.495) Prec@5 74.609 (73.635)
Epoch: [63][3480/5005] Time 0.194 (0.210) Data 0.046 (0.048) Loss 2.1880 (2.2449) Prec@1 44.922 (48.495) Prec@5 75.391 (73.638)
Epoch: [63][3490/5005] Time 0.214 (0.210) Data 0.042 (0.048) Loss 2.2972 (2.2450) Prec@1 44.141 (48.491) Prec@5 71.875 (73.634)
Epoch: [63][3500/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.1155 (2.2451) Prec@1 50.000 (48.489) Prec@5 78.125 (73.635)
Epoch: [63][3510/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.0539 (2.2449) Prec@1 50.781 (48.493) Prec@5 78.516 (73.638)
Epoch: [63][3520/5005] Time 0.205 (0.210) Data 0.042 (0.048) Loss 2.4499 (2.2449) Prec@1 44.922 (48.492) Prec@5 69.922 (73.637)
Epoch: [63][3530/5005] Time 0.199 (0.210) Data 0.040 (0.048) Loss 2.1944 (2.2447) Prec@1 50.781 (48.498) Prec@5 75.391 (73.640)
Epoch: [63][3540/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.1328 (2.2445) Prec@1 50.781 (48.501) Prec@5 77.344 (73.646)
Epoch: [63][3550/5005] Time 0.200 (0.210) Data 0.051 (0.048) Loss 2.2339 (2.2443) Prec@1 53.516 (48.506) Prec@5 72.656 (73.648)
Epoch: [63][3560/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.2875 (2.2443) Prec@1 50.781 (48.506) Prec@5 71.094 (73.648)
Epoch: [63][3570/5005] Time 0.217 (0.210) Data 0.042 (0.048) Loss 2.3368 (2.2442) Prec@1 47.656 (48.508) Prec@5 72.656 (73.650)
Epoch: [63][3580/5005] Time 0.198 (0.210) Data 0.052 (0.048) Loss 2.1811 (2.2443) Prec@1 48.438 (48.507) Prec@5 76.953 (73.650)
Epoch: [63][3590/5005] Time 0.204 (0.210) Data 0.049 (0.048) Loss 2.2704 (2.2440) Prec@1 46.875 (48.513) Prec@5 73.438 (73.655)
Epoch: [63][3600/5005] Time 0.203 (0.210) Data 0.043 (0.048) Loss 2.2380 (2.2439) Prec@1 51.562 (48.515) Prec@5 73.438 (73.656)
Epoch: [63][3610/5005] Time 0.213 (0.210) Data 0.051 (0.048) Loss 2.1059 (2.2438) Prec@1 53.516 (48.518) Prec@5 75.391 (73.656)
Epoch: [63][3620/5005] Time 0.212 (0.210) Data 0.041 (0.048) Loss 2.3223 (2.2437) Prec@1 46.875 (48.522) Prec@5 69.531 (73.657)
Epoch: [63][3630/5005] Time 0.214 (0.210) Data 0.042 (0.048) Loss 2.4235 (2.2437) Prec@1 48.828 (48.521) Prec@5 67.969 (73.656)
Epoch: [63][3640/5005] Time 0.206 (0.210) Data 0.045 (0.048) Loss 2.2124 (2.2437) Prec@1 46.484 (48.516) Prec@5 73.047 (73.654)
Epoch: [63][3650/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.1111 (2.2436) Prec@1 48.438 (48.512) Prec@5 75.391 (73.655)
Epoch: [63][3660/5005] Time 0.211 (0.210) Data 0.046 (0.048) Loss 2.3200 (2.2435) Prec@1 46.484 (48.511) Prec@5 73.828 (73.659)
Epoch: [63][3670/5005] Time 0.213 (0.210) Data 0.047 (0.048) Loss 2.3423 (2.2435) Prec@1 48.438 (48.514) Prec@5 73.047 (73.661)
Epoch: [63][3680/5005] Time 0.214 (0.210) Data 0.044 (0.048) Loss 2.1744 (2.2435) Prec@1 47.266 (48.515) Prec@5 75.391 (73.660)
Epoch: [63][3690/5005] Time 0.207 (0.210) Data 0.046 (0.048) Loss 2.1080 (2.2434) Prec@1 48.438 (48.517) Prec@5 77.734 (73.662)
Epoch: [63][3700/5005] Time 0.221 (0.210) Data 0.051 (0.048) Loss 2.2479 (2.2434) Prec@1 48.438 (48.518) Prec@5 74.219 (73.665)
Epoch: [63][3710/5005] Time 0.206 (0.210) Data 0.059 (0.048) Loss 2.1480 (2.2433) Prec@1 48.828 (48.518) Prec@5 75.781 (73.667)
Epoch: [63][3720/5005] Time 0.210 (0.210) Data 0.041 (0.048) Loss 2.4274 (2.2433) Prec@1 47.656 (48.517) Prec@5 70.312 (73.666)
Epoch: [63][3730/5005] Time 0.218 (0.210) Data 0.041 (0.048) Loss 2.0458 (2.2432) Prec@1 51.562 (48.518) Prec@5 77.734 (73.668)
Epoch: [63][3740/5005] Time 0.208 (0.210) Data 0.043 (0.048) Loss 2.0722 (2.2429) Prec@1 54.297 (48.525) Prec@5 77.734 (73.674)
Epoch: [63][3750/5005] Time 0.208 (0.210) Data 0.043 (0.048) Loss 2.1024 (2.2429) Prec@1 51.953 (48.524) Prec@5 76.562 (73.672)
Epoch: [63][3760/5005] Time 0.204 (0.210) Data 0.042 (0.048) Loss 2.2296 (2.2430) Prec@1 48.438 (48.523) Prec@5 74.219 (73.670)
Epoch: [63][3770/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.3190 (2.2427) Prec@1 47.266 (48.528) Prec@5 72.266 (73.676)
Epoch: [63][3780/5005] Time 0.212 (0.210) Data 0.046 (0.048) Loss 2.2392 (2.2427) Prec@1 50.781 (48.529) Prec@5 76.562 (73.679)
Epoch: [63][3790/5005] Time 0.207 (0.210) Data 0.043 (0.048) Loss 2.3229 (2.2427) Prec@1 50.000 (48.529) Prec@5 74.219 (73.678)
Epoch: [63][3800/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.2637 (2.2428) Prec@1 46.875 (48.528) Prec@5 73.828 (73.676)
Epoch: [63][3810/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.1685 (2.2428) Prec@1 49.609 (48.526) Prec@5 76.953 (73.676)
Epoch: [63][3820/5005] Time 0.216 (0.210) Data 0.042 (0.048) Loss 2.1793 (2.2426) Prec@1 46.875 (48.532) Prec@5 76.172 (73.680)
Epoch: [63][3830/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.3597 (2.2424) Prec@1 42.188 (48.534) Prec@5 68.359 (73.682)
Epoch: [63][3840/5005] Time 0.207 (0.210) Data 0.043 (0.048) Loss 2.4482 (2.2426) Prec@1 43.359 (48.530) Prec@5 68.359 (73.677)
Epoch: [63][3850/5005] Time 0.213 (0.210) Data 0.044 (0.048) Loss 2.3752 (2.2425) Prec@1 46.875 (48.530) Prec@5 71.875 (73.679)
Epoch: [63][3860/5005] Time 0.214 (0.210) Data 0.042 (0.048) Loss 1.8649 (2.2424) Prec@1 59.766 (48.535) Prec@5 81.250 (73.680)
Epoch: [63][3870/5005] Time 0.214 (0.210) Data 0.041 (0.048) Loss 2.1721 (2.2424) Prec@1 45.312 (48.531) Prec@5 76.953 (73.680)
Epoch: [63][3880/5005] Time 0.204 (0.210) Data 0.044 (0.048) Loss 2.0728 (2.2424) Prec@1 50.781 (48.533) Prec@5 78.516 (73.683)
Epoch: [63][3890/5005] Time 0.193 (0.210) Data 0.042 (0.048) Loss 2.4672 (2.2423) Prec@1 46.094 (48.535) Prec@5 72.266 (73.681)
Epoch: [63][3900/5005] Time 0.207 (0.210) Data 0.045 (0.048) Loss 2.3827 (2.2423) Prec@1 48.828 (48.536) Prec@5 71.094 (73.681)
Epoch: [63][3910/5005] Time 0.202 (0.210) Data 0.045 (0.048) Loss 2.3073 (2.2423) Prec@1 45.312 (48.535) Prec@5 73.828 (73.682)
Epoch: [63][3920/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.2472 (2.2423) Prec@1 50.781 (48.535) Prec@5 72.656 (73.681)
Epoch: [63][3930/5005] Time 0.216 (0.210) Data 0.042 (0.048) Loss 2.2098 (2.2422) Prec@1 48.828 (48.535) Prec@5 72.656 (73.682)
Epoch: [63][3940/5005] Time 0.302 (0.210) Data 0.039 (0.048) Loss 2.1616 (2.2421) Prec@1 50.000 (48.536) Prec@5 75.391 (73.684)
Epoch: [63][3950/5005] Time 0.210 (0.210) Data 0.045 (0.048) Loss 2.0956 (2.2419) Prec@1 51.172 (48.540) Prec@5 78.906 (73.688)
Epoch: [63][3960/5005] Time 0.217 (0.210) Data 0.047 (0.048) Loss 2.0876 (2.2418) Prec@1 49.609 (48.542) Prec@5 76.953 (73.686)
Epoch: [63][3970/5005] Time 0.210 (0.210) Data 0.055 (0.048) Loss 2.2844 (2.2418) Prec@1 49.219 (48.543) Prec@5 73.438 (73.685)
Epoch: [63][3980/5005] Time 0.199 (0.210) Data 0.060 (0.048) Loss 2.1488 (2.2417) Prec@1 49.609 (48.544) Prec@5 74.609 (73.687)
Epoch: [63][3990/5005] Time 0.198 (0.210) Data 0.042 (0.048) Loss 2.2728 (2.2418) Prec@1 43.359 (48.539) Prec@5 75.000 (73.687)
Epoch: [63][4000/5005] Time 0.211 (0.210) Data 0.050 (0.048) Loss 2.1028 (2.2417) Prec@1 51.172 (48.541) Prec@5 74.219 (73.689)
Epoch: [63][4010/5005] Time 0.213 (0.210) Data 0.051 (0.048) Loss 2.2391 (2.2415) Prec@1 47.266 (48.543) Prec@5 73.438 (73.695)
Epoch: [63][4020/5005] Time 0.214 (0.210) Data 0.045 (0.048) Loss 2.4054 (2.2414) Prec@1 46.875 (48.546) Prec@5 67.969 (73.696)
Epoch: [63][4030/5005] Time 0.209 (0.210) Data 0.042 (0.048) Loss 2.4484 (2.2417) Prec@1 48.828 (48.545) Prec@5 72.266 (73.689)
Epoch: [63][4040/5005] Time 0.208 (0.210) Data 0.043 (0.048) Loss 2.2708 (2.2417) Prec@1 49.219 (48.544) Prec@5 72.266 (73.691)
Epoch: [63][4050/5005] Time 0.207 (0.210) Data 0.049 (0.048) Loss 2.5849 (2.2417) Prec@1 40.625 (48.545) Prec@5 69.922 (73.693)
Epoch: [63][4060/5005] Time 0.206 (0.210) Data 0.054 (0.048) Loss 2.1546 (2.2416) Prec@1 50.391 (48.548) Prec@5 75.391 (73.694)
Epoch: [63][4070/5005] Time 0.209 (0.210) Data 0.047 (0.048) Loss 2.5694 (2.2417) Prec@1 44.922 (48.547) Prec@5 71.094 (73.694)
Epoch: [63][4080/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.1034 (2.2416) Prec@1 50.781 (48.547) Prec@5 77.344 (73.695)
Epoch: [63][4090/5005] Time 0.207 (0.210) Data 0.046 (0.048) Loss 2.4295 (2.2417) Prec@1 44.531 (48.546) Prec@5 70.312 (73.693)
Epoch: [63][4100/5005] Time 0.214 (0.210) Data 0.042 (0.048) Loss 2.0531 (2.2416) Prec@1 52.344 (48.548) Prec@5 78.125 (73.696)
Epoch: [63][4110/5005] Time 0.200 (0.210) Data 0.057 (0.048) Loss 2.3852 (2.2415) Prec@1 43.359 (48.549) Prec@5 72.656 (73.699)
Epoch: [63][4120/5005] Time 0.205 (0.210) Data 0.046 (0.048) Loss 2.3065 (2.2413) Prec@1 45.703 (48.549) Prec@5 72.266 (73.701)
Epoch: [63][4130/5005] Time 0.210 (0.210) Data 0.055 (0.048) Loss 2.5088 (2.2413) Prec@1 42.578 (48.549) Prec@5 71.875 (73.700)
Epoch: [63][4140/5005] Time 0.213 (0.210) Data 0.045 (0.048) Loss 2.4074 (2.2413) Prec@1 44.531 (48.551) Prec@5 66.016 (73.699)
Epoch: [63][4150/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.4636 (2.2414) Prec@1 45.312 (48.551) Prec@5 72.656 (73.700)
Epoch: [63][4160/5005] Time 0.208 (0.210) Data 0.049 (0.048) Loss 2.1120 (2.2414) Prec@1 48.828 (48.550) Prec@5 78.906 (73.698)
Epoch: [63][4170/5005] Time 0.215 (0.210) Data 0.044 (0.048) Loss 2.1066 (2.2412) Prec@1 47.266 (48.554) Prec@5 76.172 (73.703)
Epoch: [63][4180/5005] Time 0.214 (0.210) Data 0.044 (0.048) Loss 2.0326 (2.2410) Prec@1 55.078 (48.558) Prec@5 74.219 (73.704)
Epoch: [63][4190/5005] Time 0.213 (0.210) Data 0.042 (0.048) Loss 2.1120 (2.2410) Prec@1 51.953 (48.560) Prec@5 75.391 (73.702)
Epoch: [63][4200/5005] Time 0.213 (0.210) Data 0.042 (0.048) Loss 2.1494 (2.2410) Prec@1 45.703 (48.560) Prec@5 73.047 (73.700)
Epoch: [63][4210/5005] Time 0.202 (0.210) Data 0.041 (0.048) Loss 2.1007 (2.2410) Prec@1 53.125 (48.558) Prec@5 76.953 (73.701)
Epoch: [63][4220/5005] Time 0.202 (0.210) Data 0.041 (0.048) Loss 2.3732 (2.2411) Prec@1 44.531 (48.556) Prec@5 75.391 (73.700)
Epoch: [63][4230/5005] Time 0.205 (0.210) Data 0.046 (0.048) Loss 2.3424 (2.2411) Prec@1 48.047 (48.555) Prec@5 73.828 (73.703)
Epoch: [63][4240/5005] Time 0.204 (0.210) Data 0.062 (0.048) Loss 2.0968 (2.2411) Prec@1 48.828 (48.554) Prec@5 78.906 (73.702)
Epoch: [63][4250/5005] Time 0.206 (0.210) Data 0.048 (0.048) Loss 2.2346 (2.2409) Prec@1 48.047 (48.554) Prec@5 74.219 (73.705)
Epoch: [63][4260/5005] Time 0.209 (0.210) Data 0.048 (0.048) Loss 2.1785 (2.2409) Prec@1 47.266 (48.552) Prec@5 74.219 (73.705)
Epoch: [63][4270/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.4395 (2.2410) Prec@1 43.359 (48.550) Prec@5 71.875 (73.705)
Epoch: [63][4280/5005] Time 0.215 (0.210) Data 0.042 (0.048) Loss 2.3400 (2.2410) Prec@1 46.875 (48.551) Prec@5 73.047 (73.704)
Epoch: [63][4290/5005] Time 0.217 (0.210) Data 0.043 (0.048) Loss 2.4029 (2.2410) Prec@1 48.828 (48.552) Prec@5 71.094 (73.705)
Epoch: [63][4300/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.0774 (2.2409) Prec@1 51.953 (48.557) Prec@5 77.344 (73.708)
Epoch: [63][4310/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.0913 (2.2408) Prec@1 49.609 (48.559) Prec@5 77.734 (73.709)
Epoch: [63][4320/5005] Time 0.207 (0.210) Data 0.043 (0.048) Loss 2.0832 (2.2409) Prec@1 54.688 (48.561) Prec@5 75.781 (73.707)
Epoch: [63][4330/5005] Time 0.216 (0.210) Data 0.044 (0.048) Loss 2.1254 (2.2408) Prec@1 50.781 (48.563) Prec@5 75.781 (73.707)
Epoch: [63][4340/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.1605 (2.2409) Prec@1 51.172 (48.560) Prec@5 74.219 (73.706)
Epoch: [63][4350/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.2334 (2.2408) Prec@1 49.609 (48.563) Prec@5 76.172 (73.706)
Epoch: [63][4360/5005] Time 0.214 (0.210) Data 0.043 (0.048) Loss 1.9850 (2.2406) Prec@1 53.516 (48.567) Prec@5 76.953 (73.710)
Epoch: [63][4370/5005] Time 0.211 (0.210) Data 0.042 (0.048) Loss 2.1556 (2.2406) Prec@1 51.172 (48.569) Prec@5 78.516 (73.713)
Epoch: [63][4380/5005] Time 0.202 (0.210) Data 0.053 (0.048) Loss 2.2112 (2.2406) Prec@1 49.609 (48.568) Prec@5 71.484 (73.715)
Epoch: [63][4390/5005] Time 0.204 (0.210) Data 0.043 (0.048) Loss 2.2031 (2.2403) Prec@1 50.391 (48.574) Prec@5 73.438 (73.717)
Epoch: [63][4400/5005] Time 0.207 (0.210) Data 0.051 (0.048) Loss 2.0276 (2.2402) Prec@1 50.391 (48.578) Prec@5 76.562 (73.718)
Epoch: [63][4410/5005] Time 0.212 (0.210) Data 0.042 (0.048) Loss 2.0490 (2.2400) Prec@1 48.047 (48.582) Prec@5 77.344 (73.719)
Epoch: [63][4420/5005] Time 0.214 (0.210) Data 0.042 (0.048) Loss 1.9844 (2.2399) Prec@1 51.562 (48.581) Prec@5 78.906 (73.721)
Epoch: [63][4430/5005] Time 0.201 (0.210) Data 0.044 (0.048) Loss 2.2153 (2.2397) Prec@1 46.875 (48.585) Prec@5 74.609 (73.725)
Epoch: [63][4440/5005] Time 0.213 (0.210) Data 0.044 (0.048) Loss 2.3314 (2.2398) Prec@1 49.609 (48.584) Prec@5 69.141 (73.723)
Epoch: [63][4450/5005] Time 0.205 (0.210) Data 0.045 (0.048) Loss 2.1353 (2.2397) Prec@1 50.000 (48.585) Prec@5 75.391 (73.725)
Epoch: [63][4460/5005] Time 0.207 (0.210) Data 0.060 (0.048) Loss 2.2688 (2.2395) Prec@1 50.391 (48.587) Prec@5 72.656 (73.728)
Epoch: [63][4470/5005] Time 0.197 (0.210) Data 0.043 (0.048) Loss 2.0601 (2.2396) Prec@1 49.219 (48.585) Prec@5 80.078 (73.728)
Epoch: [63][4480/5005] Time 0.209 (0.210) Data 0.039 (0.048) Loss 2.0186 (2.2397) Prec@1 51.172 (48.584) Prec@5 77.344 (73.726)
Epoch: [63][4490/5005] Time 0.202 (0.210) Data 0.042 (0.048) Loss 2.2581 (2.2397) Prec@1 45.703 (48.581) Prec@5 74.219 (73.726)
Epoch: [63][4500/5005] Time 0.199 (0.210) Data 0.045 (0.048) Loss 2.1308 (2.2396) Prec@1 48.438 (48.585) Prec@5 75.000 (73.727)
Epoch: [63][4510/5005] Time 0.206 (0.210) Data 0.048 (0.048) Loss 2.1388 (2.2396) Prec@1 49.609 (48.583) Prec@5 76.562 (73.726)
Epoch: [63][4520/5005] Time 0.211 (0.210) Data 0.048 (0.048) Loss 2.2332 (2.2394) Prec@1 48.828 (48.585) Prec@5 76.953 (73.728)
Epoch: [63][4530/5005] Time 0.206 (0.210) Data 0.053 (0.048) Loss 1.9907 (2.2394) Prec@1 53.125 (48.585) Prec@5 78.906 (73.730)
Epoch: [63][4540/5005] Time 0.218 (0.210) Data 0.046 (0.048) Loss 2.3634 (2.2396) Prec@1 49.219 (48.581) Prec@5 70.703 (73.725)
Epoch: [63][4550/5005] Time 0.208 (0.210) Data 0.045 (0.048) Loss 2.1397 (2.2394) Prec@1 49.609 (48.582) Prec@5 76.562 (73.728)
Epoch: [63][4560/5005] Time 0.206 (0.210) Data 0.044 (0.048) Loss 2.1760 (2.2394) Prec@1 50.781 (48.582) Prec@5 76.953 (73.729)
Epoch: [63][4570/5005] Time 0.218 (0.210) Data 0.042 (0.048) Loss 2.2599 (2.2394) Prec@1 48.047 (48.581) Prec@5 73.047 (73.729)
Epoch: [63][4580/5005] Time 0.205 (0.210) Data 0.042 (0.048) Loss 2.3861 (2.2393) Prec@1 42.969 (48.582) Prec@5 71.094 (73.729)
Epoch: [63][4590/5005] Time 0.219 (0.210) Data 0.042 (0.048) Loss 2.0892 (2.2393) Prec@1 50.391 (48.582) Prec@5 76.562 (73.729)
Epoch: [63][4600/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 1.9345 (2.2393) Prec@1 54.297 (48.584) Prec@5 76.562 (73.729)
Epoch: [63][4610/5005] Time 0.223 (0.210) Data 0.042 (0.048) Loss 2.0817 (2.2392) Prec@1 52.344 (48.585) Prec@5 75.781 (73.729)
Epoch: [63][4620/5005] Time 0.203 (0.210) Data 0.046 (0.048) Loss 2.0873 (2.2392) Prec@1 51.953 (48.586) Prec@5 76.562 (73.729)
Epoch: [63][4630/5005] Time 0.209 (0.210) Data 0.044 (0.048) Loss 2.0309 (2.2391) Prec@1 53.906 (48.589) Prec@5 74.609 (73.731)
Epoch: [63][4640/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.1930 (2.2390) Prec@1 51.172 (48.588) Prec@5 73.828 (73.729)
Epoch: [63][4650/5005] Time 0.211 (0.210) Data 0.045 (0.048) Loss 2.1804 (2.2390) Prec@1 51.562 (48.590) Prec@5 72.656 (73.729)
Epoch: [63][4660/5005] Time 0.201 (0.210) Data 0.058 (0.048) Loss 2.3941 (2.2390) Prec@1 44.922 (48.591) Prec@5 72.266 (73.730)
Epoch: [63][4670/5005] Time 0.206 (0.210) Data 0.043 (0.048) Loss 2.0221 (2.2388) Prec@1 52.344 (48.594) Prec@5 72.656 (73.730)
Epoch: [63][4680/5005] Time 0.204 (0.210) Data 0.041 (0.048) Loss 2.0904 (2.2388) Prec@1 50.781 (48.594) Prec@5 77.734 (73.729)
Epoch: [63][4690/5005] Time 0.206 (0.210) Data 0.044 (0.048) Loss 2.3223 (2.2389) Prec@1 44.922 (48.592) Prec@5 72.266 (73.729)
Epoch: [63][4700/5005] Time 0.205 (0.210) Data 0.046 (0.048) Loss 2.0459 (2.2388) Prec@1 56.250 (48.595) Prec@5 77.344 (73.727)
Epoch: [63][4710/5005] Time 0.212 (0.210) Data 0.046 (0.048) Loss 2.2687 (2.2387) Prec@1 48.828 (48.598) Prec@5 76.172 (73.731)
Epoch: [63][4720/5005] Time 0.202 (0.210) Data 0.051 (0.048) Loss 2.0525 (2.2386) Prec@1 52.344 (48.601) Prec@5 76.172 (73.731)
Epoch: [63][4730/5005] Time 0.201 (0.210) Data 0.051 (0.048) Loss 2.0907 (2.2386) Prec@1 49.219 (48.599) Prec@5 78.125 (73.733)
Epoch: [63][4740/5005] Time 0.193 (0.210) Data 0.043 (0.048) Loss 2.2820 (2.2385) Prec@1 45.703 (48.604) Prec@5 74.219 (73.735)
Epoch: [63][4750/5005] Time 0.213 (0.210) Data 0.048 (0.048) Loss 2.1936 (2.2384) Prec@1 51.562 (48.605) Prec@5 74.609 (73.737)
Epoch: [63][4760/5005] Time 0.213 (0.210) Data 0.048 (0.048) Loss 2.5353 (2.2382) Prec@1 43.359 (48.606) Prec@5 69.141 (73.737)
Epoch: [63][4770/5005] Time 0.205 (0.210) Data 0.044 (0.048) Loss 2.1280 (2.2381) Prec@1 52.344 (48.610) Prec@5 74.609 (73.737)
Epoch: [63][4780/5005] Time 0.214 (0.210) Data 0.043 (0.048) Loss 2.1934 (2.2381) Prec@1 46.094 (48.612) Prec@5 75.781 (73.738)
Epoch: [63][4790/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.4856 (2.2382) Prec@1 43.750 (48.611) Prec@5 70.703 (73.738)
Epoch: [63][4800/5005] Time 0.208 (0.210) Data 0.043 (0.048) Loss 2.3852 (2.2381) Prec@1 46.875 (48.614) Prec@5 70.312 (73.739)
Epoch: [63][4810/5005] Time 0.214 (0.210) Data 0.044 (0.048) Loss 2.4174 (2.2380) Prec@1 44.141 (48.612) Prec@5 72.266 (73.741)
Epoch: [63][4820/5005] Time 0.202 (0.210) Data 0.042 (0.048) Loss 2.3970 (2.2379) Prec@1 44.922 (48.614) Prec@5 71.094 (73.744)
Epoch: [63][4830/5005] Time 0.204 (0.210) Data 0.043 (0.048) Loss 2.2171 (2.2378) Prec@1 50.000 (48.615) Prec@5 72.656 (73.744)
Epoch: [63][4840/5005] Time 0.206 (0.210) Data 0.047 (0.048) Loss 2.0337 (2.2378) Prec@1 52.344 (48.613) Prec@5 74.609 (73.745)
Epoch: [63][4850/5005] Time 0.204 (0.210) Data 0.048 (0.048) Loss 2.2067 (2.2380) Prec@1 44.141 (48.611) Prec@5 73.438 (73.743)
Epoch: [63][4860/5005] Time 0.202 (0.210) Data 0.044 (0.048) Loss 2.2116 (2.2379) Prec@1 48.828 (48.611) Prec@5 75.000 (73.742)
Epoch: [63][4870/5005] Time 0.209 (0.210) Data 0.047 (0.048) Loss 2.2725 (2.2379) Prec@1 51.562 (48.613) Prec@5 72.656 (73.742)
Epoch: [63][4880/5005] Time 0.214 (0.210) Data 0.043 (0.048) Loss 2.2202 (2.2380) Prec@1 48.438 (48.613) Prec@5 74.219 (73.740)
Epoch: [63][4890/5005] Time 0.206 (0.210) Data 0.051 (0.048) Loss 2.4029 (2.2379) Prec@1 48.047 (48.614) Prec@5 71.094 (73.741)
Epoch: [63][4900/5005] Time 0.203 (0.210) Data 0.044 (0.048) Loss 1.9965 (2.2377) Prec@1 50.781 (48.615) Prec@5 80.078 (73.745)
Epoch: [63][4910/5005] Time 0.200 (0.210) Data 0.045 (0.048) Loss 2.2593 (2.2375) Prec@1 50.391 (48.618) Prec@5 76.172 (73.747)
Epoch: [63][4920/5005] Time 0.205 (0.210) Data 0.054 (0.048) Loss 2.1839 (2.2375) Prec@1 51.172 (48.619) Prec@5 72.656 (73.747)
Epoch: [63][4930/5005] Time 0.208 (0.210) Data 0.045 (0.048) Loss 2.3797 (2.2375) Prec@1 45.312 (48.619) Prec@5 71.484 (73.748)
Epoch: [63][4940/5005] Time 0.206 (0.210) Data 0.044 (0.048) Loss 2.2283 (2.2375) Prec@1 51.953 (48.624) Prec@5 73.438 (73.747)
Epoch: [63][4950/5005] Time 0.216 (0.210) Data 0.048 (0.048) Loss 2.0047 (2.2375) Prec@1 51.562 (48.623) Prec@5 77.344 (73.747)
Epoch: [63][4960/5005] Time 0.206 (0.210) Data 0.046 (0.048) Loss 2.4133 (2.2375) Prec@1 46.875 (48.625) Prec@5 71.094 (73.747)
Epoch: [63][4970/5005] Time 0.209 (0.210) Data 0.040 (0.048) Loss 2.3843 (2.2374) Prec@1 45.312 (48.627) Prec@5 72.656 (73.749)
Epoch: [63][4980/5005] Time 0.207 (0.210) Data 0.042 (0.048) Loss 2.2420 (2.2374) Prec@1 51.953 (48.628) Prec@5 75.781 (73.750)
Epoch: [63][4990/5005] Time 0.202 (0.210) Data 0.022 (0.048) Loss 2.2915 (2.2373) Prec@1 44.531 (48.631) Prec@5 70.703 (73.752)
Epoch: [63][5000/5005] Time 0.206 (0.210) Data 0.020 (0.048) Loss 2.2979 (2.2373) Prec@1 45.312 (48.629) Prec@5 74.219 (73.751)
Test: [0/196] Time 2.113 (2.113) Loss 2.3741 (2.3741) Prec@1 48.828 (48.828) Prec@5 69.531 (69.531)
Test: [10/196] Time 0.044 (0.333) Loss 2.5037 (2.5421) Prec@1 45.703 (43.572) Prec@5 69.531 (69.034)
Test: [20/196] Time 0.044 (0.237) Loss 2.4169 (2.5347) Prec@1 48.828 (43.787) Prec@5 71.875 (69.364)
Test: [30/196] Time 0.041 (0.210) Loss 2.4527 (2.5326) Prec@1 42.578 (43.637) Prec@5 69.922 (69.443)
Test: [40/196] Time 0.563 (0.215) Loss 2.2294 (2.5298) Prec@1 54.688 (43.998) Prec@5 74.609 (69.369)
Test: [50/196] Time 0.045 (0.203) Loss 2.5947 (2.5341) Prec@1 46.875 (43.995) Prec@5 69.141 (69.340)
Test: [60/196] Time 0.084 (0.194) Loss 2.4527 (2.5239) Prec@1 48.047 (44.282) Prec@5 72.656 (69.422)
Test: [70/196] Time 0.044 (0.189) Loss 2.4384 (2.5203) Prec@1 45.703 (44.262) Prec@5 69.531 (69.377)
Test: [80/196] Time 0.117 (0.192) Loss 2.4109 (2.5267) Prec@1 51.172 (44.203) Prec@5 74.219 (69.329)
Test: [90/196] Time 0.043 (0.186) Loss 2.6565 (2.5303) Prec@1 47.266 (44.278) Prec@5 67.969 (69.312)
Test: [100/196] Time 0.088 (0.185) Loss 2.5625 (2.5268) Prec@1 46.484 (44.547) Prec@5 67.578 (69.369)
Test: [110/196] Time 0.045 (0.188) Loss 2.7173 (2.5293) Prec@1 39.844 (44.573) Prec@5 66.406 (69.359)
Test: [120/196] Time 0.371 (0.189) Loss 2.3717 (2.5258) Prec@1 46.875 (44.696) Prec@5 73.438 (69.441)
Test: [130/196] Time 0.046 (0.186) Loss 2.1835 (2.5218) Prec@1 51.562 (44.716) Prec@5 76.953 (69.543)
Test: [140/196] Time 0.054 (0.184) Loss 2.3382 (2.5240) Prec@1 46.094 (44.620) Prec@5 73.828 (69.473)
Test: [150/196] Time 0.632 (0.184) Loss 2.1600 (2.5236) Prec@1 48.438 (44.583) Prec@5 79.297 (69.552)
Test: [160/196] Time 0.117 (0.183) Loss 2.4710 (2.5225) Prec@1 50.000 (44.572) Prec@5 67.969 (69.524)
Test: [170/196] Time 0.108 (0.182) Loss 2.4304 (2.5252) Prec@1 47.266 (44.543) Prec@5 71.094 (69.444)
Test: [180/196] Time 0.420 (0.182) Loss 2.7035 (2.5290) Prec@1 41.406 (44.501) Prec@5 67.969 (69.363)
Test: [190/196] Time 0.045 (0.181) Loss 2.6952 (2.5325) Prec@1 41.406 (44.429) Prec@5 67.578 (69.241)
* Prec@1 44.414 Prec@5 69.260
Learning rate: 1e-05
Epoch: [64][0/5005] Time 1.068 (1.068) Data 0.951 (0.951) Loss 2.1641 (2.1641) Prec@1 50.781 (50.781) Prec@5 75.781 (75.781)
Epoch: [64][10/5005] Time 0.201 (0.285) Data 0.061 (0.134) Loss 2.1385 (2.2519) Prec@1 53.516 (49.396) Prec@5 76.172 (73.509)
Epoch: [64][20/5005] Time 0.197 (0.245) Data 0.041 (0.092) Loss 2.4348 (2.2643) Prec@1 47.266 (48.977) Prec@5 70.703 (73.791)
Epoch: [64][30/5005] Time 0.210 (0.232) Data 0.041 (0.077) Loss 2.1623 (2.2288) Prec@1 50.000 (49.244) Prec@5 75.391 (74.030)
Epoch: [64][40/5005] Time 0.204 (0.225) Data 0.043 (0.070) Loss 2.2318 (2.2444) Prec@1 47.656 (48.790) Prec@5 74.609 (73.761)
Epoch: [64][50/5005] Time 0.212 (0.221) Data 0.043 (0.065) Loss 2.1520 (2.2378) Prec@1 45.703 (48.598) Prec@5 74.219 (73.828)
Epoch: [64][60/5005] Time 0.204 (0.218) Data 0.048 (0.063) Loss 2.2519 (2.2391) Prec@1 48.438 (48.636) Prec@5 75.000 (73.943)
Epoch: [64][70/5005] Time 0.209 (0.216) Data 0.043 (0.060) Loss 2.2692 (2.2477) Prec@1 48.047 (48.476) Prec@5 76.953 (73.768)
Epoch: [64][80/5005] Time 0.201 (0.214) Data 0.060 (0.059) Loss 2.0796 (2.2372) Prec@1 52.734 (48.664) Prec@5 76.562 (73.929)
Epoch: [64][90/5005] Time 0.210 (0.212) Data 0.043 (0.057) Loss 2.1741 (2.2362) Prec@1 50.781 (48.691) Prec@5 76.953 (73.987)
Epoch: [64][100/5005] Time 0.206 (0.211) Data 0.058 (0.056) Loss 1.9725 (2.2368) Prec@1 50.781 (48.581) Prec@5 77.344 (73.948)
Epoch: [64][110/5005] Time 0.209 (0.210) Data 0.049 (0.056) Loss 2.2684 (2.2386) Prec@1 51.953 (48.536) Prec@5 73.047 (73.955)
Epoch: [64][120/5005] Time 0.200 (0.209) Data 0.047 (0.055) Loss 2.3501 (2.2425) Prec@1 43.750 (48.483) Prec@5 72.656 (73.864)
Epoch: [64][130/5005] Time 0.200 (0.209) Data 0.044 (0.055) Loss 2.2931 (2.2446) Prec@1 50.391 (48.482) Prec@5 73.047 (73.789)
Epoch: [64][140/5005] Time 0.213 (0.209) Data 0.052 (0.054) Loss 2.2327 (2.2404) Prec@1 51.953 (48.504) Prec@5 72.656 (73.795)
Epoch: [64][150/5005] Time 0.208 (0.208) Data 0.046 (0.054) Loss 2.3399 (2.2404) Prec@1 48.047 (48.559) Prec@5 69.531 (73.854)
Epoch: [64][160/5005] Time 0.214 (0.208) Data 0.051 (0.054) Loss 2.2172 (2.2414) Prec@1 49.609 (48.530) Prec@5 72.656 (73.860)
Epoch: [64][170/5005] Time 0.222 (0.209) Data 0.053 (0.054) Loss 2.2861 (2.2419) Prec@1 50.391 (48.483) Prec@5 73.047 (73.812)
Epoch: [64][180/5005] Time 0.226 (0.209) Data 0.048 (0.053) Loss 2.3371 (2.2427) Prec@1 48.438 (48.446) Prec@5 69.922 (73.785)
Epoch: [64][190/5005] Time 0.222 (0.210) Data 0.044 (0.053) Loss 2.2855 (2.2478) Prec@1 48.047 (48.335) Prec@5 73.438 (73.716)
Epoch: [64][200/5005] Time 0.223 (0.210) Data 0.048 (0.053) Loss 2.3686 (2.2485) Prec@1 42.188 (48.305) Prec@5 71.094 (73.702)
Epoch: [64][210/5005] Time 0.221 (0.211) Data 0.046 (0.053) Loss 2.0984 (2.2473) Prec@1 49.219 (48.323) Prec@5 76.953 (73.693)
Epoch: [64][220/5005] Time 0.219 (0.211) Data 0.043 (0.052) Loss 2.2970 (2.2484) Prec@1 48.047 (48.310) Prec@5 74.219 (73.639)
Epoch: [64][230/5005] Time 0.221 (0.211) Data 0.045 (0.052) Loss 2.2133 (2.2473) Prec@1 51.172 (48.378) Prec@5 74.609 (73.696)
Epoch: [64][240/5005] Time 0.217 (0.212) Data 0.043 (0.052) Loss 2.2999 (2.2460) Prec@1 46.094 (48.384) Prec@5 71.094 (73.690)
Epoch: [64][250/5005] Time 0.217 (0.212) Data 0.050 (0.052) Loss 2.3946 (2.2450) Prec@1 48.828 (48.395) Prec@5 71.875 (73.727)
Epoch: [64][260/5005] Time 0.210 (0.212) Data 0.043 (0.051) Loss 2.0145 (2.2430) Prec@1 52.734 (48.464) Prec@5 77.734 (73.773)
Epoch: [64][270/5005] Time 0.221 (0.212) Data 0.051 (0.051) Loss 2.2560 (2.2430) Prec@1 46.875 (48.442) Prec@5 73.828 (73.752)
Epoch: [64][280/5005] Time 0.216 (0.213) Data 0.051 (0.051) Loss 2.5020 (2.2448) Prec@1 46.484 (48.410) Prec@5 68.359 (73.710)
Epoch: [64][290/5005] Time 0.224 (0.213) Data 0.051 (0.051) Loss 2.0961 (2.2464) Prec@1 51.172 (48.357) Prec@5 75.000 (73.682)
Epoch: [64][300/5005] Time 0.218 (0.213) Data 0.052 (0.051) Loss 2.0112 (2.2465) Prec@1 51.953 (48.378) Prec@5 78.125 (73.653)
Epoch: [64][310/5005] Time 0.216 (0.213) Data 0.044 (0.051) Loss 2.0918 (2.2444) Prec@1 51.562 (48.429) Prec@5 76.953 (73.674)
Epoch: [64][320/5005] Time 0.218 (0.213) Data 0.045 (0.051) Loss 2.4201 (2.2465) Prec@1 48.828 (48.399) Prec@5 69.922 (73.659)
Epoch: [64][330/5005] Time 0.213 (0.214) Data 0.044 (0.051) Loss 1.9513 (2.2452) Prec@1 55.469 (48.421) Prec@5 78.516 (73.681)
Epoch: [64][340/5005] Time 0.196 (0.214) Data 0.065 (0.051) Loss 2.2696 (2.2486) Prec@1 48.047 (48.380) Prec@5 76.562 (73.631)
Epoch: [64][350/5005] Time 0.219 (0.214) Data 0.043 (0.051) Loss 2.3867 (2.2486) Prec@1 46.875 (48.360) Prec@5 68.750 (73.636)
Epoch: [64][360/5005] Time 0.222 (0.214) Data 0.053 (0.051) Loss 2.3885 (2.2485) Prec@1 44.922 (48.367) Prec@5 72.266 (73.616)
Epoch: [64][370/5005] Time 0.216 (0.214) Data 0.045 (0.051) Loss 2.3056 (2.2464) Prec@1 44.141 (48.390) Prec@5 70.703 (73.654)
Epoch: [64][380/5005] Time 0.222 (0.214) Data 0.045 (0.051) Loss 2.3462 (2.2471) Prec@1 48.047 (48.398) Prec@5 69.141 (73.615)
Epoch: [64][390/5005] Time 0.202 (0.214) Data 0.045 (0.050) Loss 2.1881 (2.2465) Prec@1 51.562 (48.414) Prec@5 75.391 (73.636)
Epoch: [64][400/5005] Time 0.223 (0.214) Data 0.044 (0.050) Loss 2.1833 (2.2458) Prec@1 52.344 (48.430) Prec@5 74.219 (73.640)
Epoch: [64][410/5005] Time 0.221 (0.215) Data 0.042 (0.050) Loss 2.0187 (2.2454) Prec@1 53.125 (48.450) Prec@5 78.516 (73.647)
Epoch: [64][420/5005] Time 0.219 (0.215) Data 0.041 (0.050) Loss 2.2683 (2.2443) Prec@1 46.875 (48.482) Prec@5 71.484 (73.662)
Epoch: [64][430/5005] Time 0.220 (0.215) Data 0.043 (0.050) Loss 2.1722 (2.2453) Prec@1 50.391 (48.503) Prec@5 73.438 (73.648)
Epoch: [64][440/5005] Time 0.221 (0.215) Data 0.042 (0.050) Loss 2.1244 (2.2443) Prec@1 49.609 (48.471) Prec@5 78.125 (73.671)
Epoch: [64][450/5005] Time 0.212 (0.215) Data 0.042 (0.049) Loss 2.0460 (2.2451) Prec@1 50.781 (48.451) Prec@5 73.438 (73.635)
Epoch: [64][460/5005] Time 0.215 (0.215) Data 0.043 (0.049) Loss 2.2182 (2.2457) Prec@1 46.094 (48.415) Prec@5 74.609 (73.623)
Epoch: [64][470/5005] Time 0.213 (0.215) Data 0.048 (0.049) Loss 2.1473 (2.2463) Prec@1 47.656 (48.402) Prec@5 73.047 (73.588)
Epoch: [64][480/5005] Time 0.217 (0.215) Data 0.044 (0.049) Loss 2.2626 (2.2464) Prec@1 46.875 (48.408) Prec@5 76.172 (73.591)
Epoch: [64][490/5005] Time 0.221 (0.215) Data 0.048 (0.049) Loss 2.1918 (2.2464) Prec@1 50.000 (48.409) Prec@5 73.438 (73.595)
Epoch: [64][500/5005] Time 0.205 (0.215) Data 0.044 (0.049) Loss 2.5189 (2.2482) Prec@1 46.094 (48.392) Prec@5 69.141 (73.562)
Epoch: [64][510/5005] Time 0.215 (0.215) Data 0.052 (0.049) Loss 2.5026 (2.2488) Prec@1 42.969 (48.386) Prec@5 66.797 (73.543)
Epoch: [64][520/5005] Time 0.215 (0.215) Data 0.063 (0.049) Loss 2.2093 (2.2478) Prec@1 47.656 (48.396) Prec@5 77.344 (73.574)
Epoch: [64][530/5005] Time 0.197 (0.215) Data 0.043 (0.049) Loss 2.1333 (2.2476) Prec@1 50.781 (48.396) Prec@5 72.656 (73.585)
Epoch: [64][540/5005] Time 0.215 (0.215) Data 0.053 (0.049) Loss 2.3847 (2.2480) Prec@1 44.922 (48.406) Prec@5 68.359 (73.557)
Epoch: [64][550/5005] Time 0.219 (0.215) Data 0.052 (0.049) Loss 2.2320 (2.2480) Prec@1 51.172 (48.401) Prec@5 75.781 (73.563)
Epoch: [64][560/5005] Time 0.219 (0.215) Data 0.043 (0.049) Loss 2.3967 (2.2482) Prec@1 42.188 (48.398) Prec@5 71.875 (73.566)
Epoch: [64][570/5005] Time 0.225 (0.215) Data 0.045 (0.049) Loss 2.4003 (2.2489) Prec@1 46.875 (48.381) Prec@5 69.922 (73.571)
Epoch: [64][580/5005] Time 0.207 (0.215) Data 0.058 (0.049) Loss 2.2515 (2.2473) Prec@1 48.047 (48.402) Prec@5 73.438 (73.587)
Epoch: [64][590/5005] Time 0.212 (0.215) Data 0.058 (0.049) Loss 2.4247 (2.2473) Prec@1 45.312 (48.398) Prec@5 69.922 (73.568)
Epoch: [64][600/5005] Time 0.204 (0.215) Data 0.058 (0.049) Loss 2.2645 (2.2482) Prec@1 49.609 (48.399) Prec@5 72.656 (73.551)
Epoch: [64][610/5005] Time 0.208 (0.215) Data 0.063 (0.049) Loss 2.2574 (2.2485) Prec@1 47.656 (48.400) Prec@5 75.781 (73.552)
Epoch: [64][620/5005] Time 0.219 (0.215) Data 0.051 (0.049) Loss 2.2878 (2.2486) Prec@1 50.781 (48.404) Prec@5 72.656 (73.562)
Epoch: [64][630/5005] Time 0.222 (0.215) Data 0.045 (0.049) Loss 2.5128 (2.2486) Prec@1 39.844 (48.410) Prec@5 67.578 (73.553)
Epoch: [64][640/5005] Time 0.214 (0.215) Data 0.042 (0.049) Loss 2.0903 (2.2484) Prec@1 50.000 (48.417) Prec@5 75.391 (73.543)
Epoch: [64][650/5005] Time 0.212 (0.215) Data 0.046 (0.050) Loss 2.3782 (2.2494) Prec@1 46.875 (48.394) Prec@5 69.141 (73.513)
Epoch: [64][660/5005] Time 0.208 (0.215) Data 0.043 (0.049) Loss 2.3849 (2.2494) Prec@1 44.531 (48.399) Prec@5 73.047 (73.513)
Epoch: [64][670/5005] Time 0.218 (0.215) Data 0.044 (0.049) Loss 2.4656 (2.2490) Prec@1 42.969 (48.404) Prec@5 69.141 (73.506)
Epoch: [64][680/5005] Time 0.218 (0.215) Data 0.043 (0.049) Loss 2.2527 (2.2488) Prec@1 49.609 (48.409) Prec@5 77.344 (73.522)
Epoch: [64][690/5005] Time 0.213 (0.215) Data 0.047 (0.049) Loss 2.1536 (2.2479) Prec@1 51.562 (48.417) Prec@5 79.688 (73.543)
Epoch: [64][700/5005] Time 0.216 (0.215) Data 0.051 (0.049) Loss 2.3183 (2.2476) Prec@1 49.219 (48.417) Prec@5 74.219 (73.550)
Epoch: [64][710/5005] Time 0.202 (0.215) Data 0.049 (0.049) Loss 2.1301 (2.2470) Prec@1 51.172 (48.435) Prec@5 74.609 (73.561)
Epoch: [64][720/5005] Time 0.209 (0.215) Data 0.047 (0.049) Loss 2.0988 (2.2464) Prec@1 50.781 (48.435) Prec@5 78.125 (73.571)
Epoch: [64][730/5005] Time 0.217 (0.215) Data 0.042 (0.049) Loss 2.3337 (2.2465) Prec@1 48.438 (48.441) Prec@5 72.656 (73.574)
Epoch: [64][740/5005] Time 0.208 (0.215) Data 0.051 (0.049) Loss 2.2151 (2.2464) Prec@1 50.000 (48.445) Prec@5 71.484 (73.562)
Epoch: [64][750/5005] Time 0.213 (0.215) Data 0.044 (0.049) Loss 2.0981 (2.2460) Prec@1 54.688 (48.460) Prec@5 75.391 (73.558)
Epoch: [64][760/5005] Time 0.218 (0.215) Data 0.044 (0.049) Loss 2.1759 (2.2461) Prec@1 50.000 (48.453) Prec@5 76.562 (73.564)
Epoch: [64][770/5005] Time 0.205 (0.215) Data 0.042 (0.049) Loss 2.2952 (2.2450) Prec@1 49.609 (48.460) Prec@5 71.875 (73.576)
Epoch: [64][780/5005] Time 0.210 (0.215) Data 0.044 (0.049) Loss 2.2668 (2.2447) Prec@1 47.656 (48.464) Prec@5 71.875 (73.580)
Epoch: [64][790/5005] Time 0.209 (0.215) Data 0.058 (0.049) Loss 2.2561 (2.2444) Prec@1 51.562 (48.468) Prec@5 73.828 (73.593)
Epoch: [64][800/5005] Time 0.209 (0.215) Data 0.042 (0.049) Loss 2.0537 (2.2436) Prec@1 49.219 (48.488) Prec@5 78.516 (73.601)
Epoch: [64][810/5005] Time 0.215 (0.215) Data 0.041 (0.049) Loss 2.3661 (2.2437) Prec@1 44.922 (48.486) Prec@5 69.922 (73.604)
Epoch: [64][820/5005] Time 0.222 (0.215) Data 0.042 (0.049) Loss 2.2850 (2.2441) Prec@1 49.219 (48.477) Prec@5 72.266 (73.595)
Epoch: [64][830/5005] Time 0.213 (0.215) Data 0.052 (0.049) Loss 2.1887 (2.2440) Prec@1 48.438 (48.477) Prec@5 74.609 (73.597)
Epoch: [64][840/5005] Time 0.212 (0.215) Data 0.044 (0.049) Loss 2.2366 (2.2440) Prec@1 44.531 (48.466) Prec@5 72.266 (73.597)
Epoch: [64][850/5005] Time 0.217 (0.215) Data 0.042 (0.049) Loss 2.5046 (2.2435) Prec@1 44.922 (48.484) Prec@5 72.656 (73.609)
Epoch: [64][860/5005] Time 0.210 (0.215) Data 0.043 (0.049) Loss 2.3671 (2.2436) Prec@1 47.266 (48.489) Prec@5 71.484 (73.607)
Epoch: [64][870/5005] Time 0.210 (0.215) Data 0.052 (0.049) Loss 2.2640 (2.2431) Prec@1 46.094 (48.499) Prec@5 74.219 (73.619)
Epoch: [64][880/5005] Time 0.217 (0.215) Data 0.043 (0.048) Loss 2.1338 (2.2432) Prec@1 48.438 (48.494) Prec@5 74.609 (73.611)
Epoch: [64][890/5005] Time 0.217 (0.215) Data 0.045 (0.048) Loss 2.5636 (2.2427) Prec@1 41.016 (48.507) Prec@5 67.578 (73.617)
Epoch: [64][900/5005] Time 0.215 (0.215) Data 0.043 (0.048) Loss 2.1403 (2.2420) Prec@1 48.828 (48.516) Prec@5 75.391 (73.631)
Epoch: [64][910/5005] Time 0.215 (0.215) Data 0.042 (0.048) Loss 2.2374 (2.2422) Prec@1 47.266 (48.508) Prec@5 75.781 (73.624)
Epoch: [64][920/5005] Time 0.211 (0.215) Data 0.045 (0.048) Loss 2.4163 (2.2417) Prec@1 44.922 (48.519) Prec@5 73.828 (73.634)
Epoch: [64][930/5005] Time 0.211 (0.215) Data 0.042 (0.048) Loss 2.1874 (2.2410) Prec@1 50.000 (48.528) Prec@5 73.438 (73.650)
Epoch: [64][940/5005] Time 0.212 (0.215) Data 0.044 (0.048) Loss 2.1446 (2.2408) Prec@1 46.094 (48.521) Prec@5 77.344 (73.663)
Epoch: [64][950/5005] Time 0.214 (0.215) Data 0.047 (0.048) Loss 2.2820 (2.2417) Prec@1 49.219 (48.516) Prec@5 72.656 (73.639)
Epoch: [64][960/5005] Time 0.214 (0.215) Data 0.046 (0.048) Loss 2.4288 (2.2421) Prec@1 47.266 (48.506) Prec@5 66.406 (73.636)
Epoch: [64][970/5005] Time 0.212 (0.215) Data 0.043 (0.048) Loss 1.9865 (2.2421) Prec@1 53.516 (48.496) Prec@5 75.781 (73.638)
Epoch: [64][980/5005] Time 0.201 (0.215) Data 0.042 (0.048) Loss 2.1450 (2.2416) Prec@1 51.953 (48.514) Prec@5 72.266 (73.648)
Epoch: [64][990/5005] Time 0.214 (0.215) Data 0.046 (0.048) Loss 2.2506 (2.2419) Prec@1 47.266 (48.509) Prec@5 74.609 (73.648)
Epoch: [64][1000/5005] Time 0.214 (0.214) Data 0.042 (0.048) Loss 2.2573 (2.2415) Prec@1 46.484 (48.516) Prec@5 74.219 (73.657)
Epoch: [64][1010/5005] Time 0.210 (0.214) Data 0.057 (0.048) Loss 2.2430 (2.2412) Prec@1 46.094 (48.522) Prec@5 75.000 (73.665)
Epoch: [64][1020/5005] Time 0.211 (0.214) Data 0.048 (0.048) Loss 2.0531 (2.2417) Prec@1 53.906 (48.518) Prec@5 75.000 (73.651)
Epoch: [64][1030/5005] Time 0.220 (0.214) Data 0.059 (0.048) Loss 2.2185 (2.2412) Prec@1 50.000 (48.530) Prec@5 74.609 (73.666)
Epoch: [64][1040/5005] Time 0.199 (0.216) Data 0.044 (0.048) Loss 2.3051 (2.2416) Prec@1 43.750 (48.513) Prec@5 72.656 (73.658)
Epoch: [64][1050/5005] Time 0.211 (0.215) Data 0.059 (0.048) Loss 2.3584 (2.2421) Prec@1 49.219 (48.498) Prec@5 69.922 (73.653)
Epoch: [64][1060/5005] Time 0.205 (0.215) Data 0.052 (0.048) Loss 2.2708 (2.2423) Prec@1 51.172 (48.496) Prec@5 73.828 (73.650)
Epoch: [64][1070/5005] Time 0.211 (0.215) Data 0.050 (0.048) Loss 2.2533 (2.2424) Prec@1 46.094 (48.486) Prec@5 72.266 (73.649)
Epoch: [64][1080/5005] Time 0.210 (0.215) Data 0.062 (0.048) Loss 2.2560 (2.2424) Prec@1 47.266 (48.494) Prec@5 74.609 (73.651)
Epoch: [64][1090/5005] Time 0.217 (0.215) Data 0.045 (0.048) Loss 2.0593 (2.2420) Prec@1 52.734 (48.499) Prec@5 77.734 (73.660)
Epoch: [64][1100/5005] Time 0.210 (0.215) Data 0.043 (0.048) Loss 2.1972 (2.2416) Prec@1 50.000 (48.514) Prec@5 73.047 (73.668)
Epoch: [64][1110/5005] Time 0.213 (0.215) Data 0.044 (0.048) Loss 2.2099 (2.2416) Prec@1 47.656 (48.516) Prec@5 77.734 (73.674)
Epoch: [64][1120/5005] Time 0.209 (0.215) Data 0.044 (0.048) Loss 2.1282 (2.2406) Prec@1 53.516 (48.535) Prec@5 75.000 (73.698)
Epoch: [64][1130/5005] Time 0.222 (0.215) Data 0.046 (0.048) Loss 2.3125 (2.2408) Prec@1 46.094 (48.528) Prec@5 71.484 (73.696)
Epoch: [64][1140/5005] Time 0.215 (0.215) Data 0.044 (0.048) Loss 2.3010 (2.2405) Prec@1 47.266 (48.529) Prec@5 73.438 (73.701)
Epoch: [64][1150/5005] Time 0.209 (0.215) Data 0.040 (0.048) Loss 2.2951 (2.2405) Prec@1 44.141 (48.533) Prec@5 73.438 (73.707)
Epoch: [64][1160/5005] Time 0.208 (0.215) Data 0.046 (0.048) Loss 2.3422 (2.2405) Prec@1 46.875 (48.536) Prec@5 70.703 (73.702)
Epoch: [64][1170/5005] Time 0.214 (0.215) Data 0.044 (0.048) Loss 2.2103 (2.2407) Prec@1 50.000 (48.534) Prec@5 77.344 (73.700)
Epoch: [64][1180/5005] Time 0.213 (0.215) Data 0.043 (0.048) Loss 2.3155 (2.2411) Prec@1 47.656 (48.512) Prec@5 69.141 (73.684)
Epoch: [64][1190/5005] Time 0.212 (0.215) Data 0.041 (0.048) Loss 2.0142 (2.2404) Prec@1 54.297 (48.521) Prec@5 74.609 (73.696)
Epoch: [64][1200/5005] Time 0.212 (0.215) Data 0.044 (0.048) Loss 2.4721 (2.2405) Prec@1 44.922 (48.513) Prec@5 69.922 (73.692)
Epoch: [64][1210/5005] Time 0.207 (0.215) Data 0.055 (0.048) Loss 2.2449 (2.2411) Prec@1 46.094 (48.503) Prec@5 73.047 (73.689)
Epoch: [64][1220/5005] Time 0.210 (0.215) Data 0.054 (0.048) Loss 2.3203 (2.2411) Prec@1 47.266 (48.509) Prec@5 72.656 (73.688)
Epoch: [64][1230/5005] Time 0.215 (0.215) Data 0.043 (0.048) Loss 2.2692 (2.2410) Prec@1 46.875 (48.510) Prec@5 73.438 (73.688)
Epoch: [64][1240/5005] Time 0.215 (0.215) Data 0.043 (0.048) Loss 2.2940 (2.2413) Prec@1 47.656 (48.499) Prec@5 72.656 (73.677)
Epoch: [64][1250/5005] Time 0.208 (0.215) Data 0.042 (0.048) Loss 2.4822 (2.2416) Prec@1 46.484 (48.494) Prec@5 68.750 (73.670)
Epoch: [64][1260/5005] Time 0.210 (0.215) Data 0.045 (0.048) Loss 1.9503 (2.2409) Prec@1 54.297 (48.506) Prec@5 78.516 (73.683)
Epoch: [64][1270/5005] Time 0.215 (0.215) Data 0.044 (0.048) Loss 2.2908 (2.2414) Prec@1 47.656 (48.505) Prec@5 69.922 (73.673)
Epoch: [64][1280/5005] Time 0.215 (0.215) Data 0.046 (0.048) Loss 2.2501 (2.2420) Prec@1 47.656 (48.499) Prec@5 73.047 (73.664)
Epoch: [64][1290/5005] Time 0.209 (0.215) Data 0.052 (0.048) Loss 1.9794 (2.2417) Prec@1 57.031 (48.505) Prec@5 75.391 (73.665)
Epoch: [64][1300/5005] Time 0.207 (0.215) Data 0.049 (0.048) Loss 2.1975 (2.2416) Prec@1 49.609 (48.501) Prec@5 75.391 (73.669)
Epoch: [64][1310/5005] Time 0.201 (0.215) Data 0.045 (0.048) Loss 2.2247 (2.2415) Prec@1 48.047 (48.500) Prec@5 73.047 (73.666)
Epoch: [64][1320/5005] Time 0.215 (0.215) Data 0.041 (0.048) Loss 2.2160 (2.2414) Prec@1 50.000 (48.507) Prec@5 73.047 (73.664)
Epoch: [64][1330/5005] Time 0.212 (0.215) Data 0.047 (0.048) Loss 2.3705 (2.2417) Prec@1 47.656 (48.502) Prec@5 70.703 (73.656)
Epoch: [64][1340/5005] Time 0.203 (0.215) Data 0.043 (0.048) Loss 2.1263 (2.2418) Prec@1 49.219 (48.502) Prec@5 76.562 (73.655)
Epoch: [64][1350/5005] Time 0.207 (0.215) Data 0.050 (0.048) Loss 2.5570 (2.2419) Prec@1 47.266 (48.495) Prec@5 67.969 (73.657)
Epoch: [64][1360/5005] Time 0.211 (0.214) Data 0.056 (0.048) Loss 1.9890 (2.2417) Prec@1 50.391 (48.503) Prec@5 78.516 (73.659)
Epoch: [64][1370/5005] Time 0.210 (0.214) Data 0.052 (0.048) Loss 2.2018 (2.2412) Prec@1 50.391 (48.510) Prec@5 76.172 (73.673)
Epoch: [64][1380/5005] Time 0.209 (0.214) Data 0.043 (0.048) Loss 2.2652 (2.2410) Prec@1 52.344 (48.514) Prec@5 72.656 (73.678)
Epoch: [64][1390/5005] Time 0.204 (0.214) Data 0.049 (0.048) Loss 2.1744 (2.2411) Prec@1 46.875 (48.508) Prec@5 76.562 (73.679)
Epoch: [64][1400/5005] Time 0.211 (0.214) Data 0.046 (0.048) Loss 2.2685 (2.2404) Prec@1 50.000 (48.522) Prec@5 75.000 (73.690)
Epoch: [64][1410/5005] Time 0.212 (0.214) Data 0.047 (0.048) Loss 2.1458 (2.2403) Prec@1 50.000 (48.526) Prec@5 76.562 (73.696)
Epoch: [64][1420/5005] Time 0.224 (0.214) Data 0.049 (0.048) Loss 2.4421 (2.2404) Prec@1 47.266 (48.526) Prec@5 72.656 (73.700)
Epoch: [64][1430/5005] Time 0.213 (0.214) Data 0.049 (0.048) Loss 1.8997 (2.2401) Prec@1 52.344 (48.530) Prec@5 80.078 (73.708)
Epoch: [64][1440/5005] Time 0.212 (0.214) Data 0.043 (0.048) Loss 2.0788 (2.2398) Prec@1 53.125 (48.530) Prec@5 76.562 (73.713)
Epoch: [64][1450/5005] Time 0.204 (0.214) Data 0.049 (0.048) Loss 2.2254 (2.2397) Prec@1 50.000 (48.535) Prec@5 71.094 (73.709)
Epoch: [64][1460/5005] Time 0.212 (0.214) Data 0.042 (0.048) Loss 2.2759 (2.2397) Prec@1 42.578 (48.536) Prec@5 70.703 (73.709)
Epoch: [64][1470/5005] Time 0.214 (0.214) Data 0.044 (0.048) Loss 2.2340 (2.2398) Prec@1 48.828 (48.542) Prec@5 72.266 (73.706)
Epoch: [64][1480/5005] Time 0.215 (0.214) Data 0.042 (0.048) Loss 2.0578 (2.2400) Prec@1 53.125 (48.545) Prec@5 78.906 (73.705)
Epoch: [64][1490/5005] Time 0.215 (0.214) Data 0.044 (0.048) Loss 2.3967 (2.2394) Prec@1 45.703 (48.564) Prec@5 71.094 (73.718)
Epoch: [64][1500/5005] Time 0.215 (0.214) Data 0.044 (0.048) Loss 2.2793 (2.2389) Prec@1 43.750 (48.571) Prec@5 76.172 (73.735)
Epoch: [64][1510/5005] Time 0.209 (0.214) Data 0.043 (0.048) Loss 2.1555 (2.2386) Prec@1 52.344 (48.583) Prec@5 76.562 (73.743)
Epoch: [64][1520/5005] Time 0.201 (0.214) Data 0.045 (0.048) Loss 2.2151 (2.2384) Prec@1 45.703 (48.586) Prec@5 73.828 (73.742)
Epoch: [64][1530/5005] Time 0.211 (0.214) Data 0.044 (0.048) Loss 2.4284 (2.2386) Prec@1 49.219 (48.587) Prec@5 69.141 (73.732)
Epoch: [64][1540/5005] Time 0.207 (0.214) Data 0.042 (0.048) Loss 2.2794 (2.2386) Prec@1 48.438 (48.587) Prec@5 72.656 (73.730)
Epoch: [64][1550/5005] Time 0.209 (0.214) Data 0.041 (0.048) Loss 2.2907 (2.2383) Prec@1 47.656 (48.587) Prec@5 74.219 (73.735)
Epoch: [64][1560/5005] Time 0.214 (0.214) Data 0.046 (0.048) Loss 2.2274 (2.2385) Prec@1 47.656 (48.588) Prec@5 76.953 (73.734)
Epoch: [64][1570/5005] Time 0.211 (0.214) Data 0.051 (0.048) Loss 2.1151 (2.2382) Prec@1 49.609 (48.589) Prec@5 73.828 (73.735)
Epoch: [64][1580/5005] Time 0.207 (0.214) Data 0.051 (0.048) Loss 2.1846 (2.2385) Prec@1 46.484 (48.579) Prec@5 74.609 (73.731)
Epoch: [64][1590/5005] Time 0.209 (0.214) Data 0.047 (0.048) Loss 2.3019 (2.2386) Prec@1 52.344 (48.579) Prec@5 72.266 (73.731)
Epoch: [64][1600/5005] Time 0.211 (0.214) Data 0.048 (0.048) Loss 2.2561 (2.2385) Prec@1 48.828 (48.586) Prec@5 72.266 (73.737)
Epoch: [64][1610/5005] Time 0.215 (0.214) Data 0.062 (0.048) Loss 2.3410 (2.2385) Prec@1 48.828 (48.582) Prec@5 74.219 (73.733)
Epoch: [64][1620/5005] Time 0.212 (0.214) Data 0.059 (0.048) Loss 2.4558 (2.2380) Prec@1 46.484 (48.595) Prec@5 69.922 (73.743)
Epoch: [64][1630/5005] Time 0.214 (0.214) Data 0.048 (0.048) Loss 2.0580 (2.2379) Prec@1 50.391 (48.605) Prec@5 76.953 (73.745)
Epoch: [64][1640/5005] Time 0.209 (0.214) Data 0.044 (0.048) Loss 2.4032 (2.2382) Prec@1 50.000 (48.603) Prec@5 68.359 (73.740)
Epoch: [64][1650/5005] Time 0.211 (0.214) Data 0.044 (0.048) Loss 2.3023 (2.2384) Prec@1 50.000 (48.602) Prec@5 71.094 (73.739)
Epoch: [64][1660/5005] Time 0.207 (0.214) Data 0.045 (0.048) Loss 2.1258 (2.2380) Prec@1 50.391 (48.615) Prec@5 75.391 (73.744)
Epoch: [64][1670/5005] Time 0.211 (0.214) Data 0.043 (0.048) Loss 2.0156 (2.2380) Prec@1 53.906 (48.615) Prec@5 76.953 (73.747)
Epoch: [64][1680/5005] Time 0.206 (0.214) Data 0.043 (0.048) Loss 2.4363 (2.2383) Prec@1 45.312 (48.613) Prec@5 73.047 (73.743)
Epoch: [64][1690/5005] Time 0.208 (0.214) Data 0.061 (0.048) Loss 2.1056 (2.2380) Prec@1 48.047 (48.620) Prec@5 75.781 (73.746)
Epoch: [64][1700/5005] Time 0.209 (0.214) Data 0.054 (0.048) Loss 2.2891 (2.2376) Prec@1 48.828 (48.620) Prec@5 70.703 (73.753)
Epoch: [64][1710/5005] Time 0.201 (0.214) Data 0.044 (0.048) Loss 2.0971 (2.2372) Prec@1 49.219 (48.625) Prec@5 76.172 (73.760)
Epoch: [64][1720/5005] Time 0.204 (0.214) Data 0.045 (0.048) Loss 2.2969 (2.2373) Prec@1 44.922 (48.622) Prec@5 73.438 (73.757)
Epoch: [64][1730/5005] Time 0.210 (0.214) Data 0.042 (0.048) Loss 2.2915 (2.2372) Prec@1 48.438 (48.627) Prec@5 72.266 (73.758)
Epoch: [64][1740/5005] Time 0.212 (0.214) Data 0.044 (0.048) Loss 2.3761 (2.2369) Prec@1 44.531 (48.632) Prec@5 72.656 (73.766)
Epoch: [64][1750/5005] Time 0.211 (0.214) Data 0.042 (0.048) Loss 2.2312 (2.2368) Prec@1 47.266 (48.638) Prec@5 71.875 (73.768)
Epoch: [64][1760/5005] Time 0.210 (0.214) Data 0.057 (0.048) Loss 2.0311 (2.2366) Prec@1 54.688 (48.641) Prec@5 78.125 (73.774)
Epoch: [64][1770/5005] Time 0.210 (0.214) Data 0.041 (0.048) Loss 2.3144 (2.2363) Prec@1 46.094 (48.641) Prec@5 74.219 (73.786)
Epoch: [64][1780/5005] Time 0.218 (0.213) Data 0.044 (0.048) Loss 2.1654 (2.2361) Prec@1 48.047 (48.644) Prec@5 73.828 (73.790)
Epoch: [64][1790/5005] Time 0.206 (0.213) Data 0.044 (0.048) Loss 2.1204 (2.2359) Prec@1 48.828 (48.643) Prec@5 78.125 (73.793)
Epoch: [64][1800/5005] Time 0.201 (0.213) Data 0.047 (0.048) Loss 2.2420 (2.2356) Prec@1 46.875 (48.642) Prec@5 75.391 (73.795)
Epoch: [64][1810/5005] Time 0.210 (0.213) Data 0.043 (0.048) Loss 2.2567 (2.2355) Prec@1 49.219 (48.643) Prec@5 72.656 (73.797)
Epoch: [64][1820/5005] Time 0.214 (0.213) Data 0.043 (0.048) Loss 2.3029 (2.2355) Prec@1 44.922 (48.638) Prec@5 70.703 (73.796)
Epoch: [64][1830/5005] Time 0.213 (0.213) Data 0.044 (0.048) Loss 2.0411 (2.2350) Prec@1 52.344 (48.643) Prec@5 78.906 (73.804)
Epoch: [64][1840/5005] Time 0.212 (0.213) Data 0.043 (0.048) Loss 2.3597 (2.2348) Prec@1 48.047 (48.653) Prec@5 71.484 (73.807)
Epoch: [64][1850/5005] Time 0.204 (0.213) Data 0.042 (0.048) Loss 2.2354 (2.2346) Prec@1 48.047 (48.655) Prec@5 74.609 (73.810)
Epoch: [64][1860/5005] Time 0.213 (0.213) Data 0.052 (0.048) Loss 2.2219 (2.2348) Prec@1 48.828 (48.654) Prec@5 73.047 (73.807)
Epoch: [64][1870/5005] Time 0.211 (0.213) Data 0.047 (0.048) Loss 2.3582 (2.2350) Prec@1 44.531 (48.650) Prec@5 71.484 (73.802)
Epoch: [64][1880/5005] Time 0.199 (0.213) Data 0.047 (0.048) Loss 2.2541 (2.2351) Prec@1 48.828 (48.647) Prec@5 71.484 (73.799)
Epoch: [64][1890/5005] Time 0.211 (0.213) Data 0.042 (0.048) Loss 2.3003 (2.2350) Prec@1 45.703 (48.650) Prec@5 73.047 (73.800)
Epoch: [64][1900/5005] Time 0.210 (0.213) Data 0.045 (0.048) Loss 2.2329 (2.2353) Prec@1 50.781 (48.644) Prec@5 77.344 (73.798)
Epoch: [64][1910/5005] Time 0.213 (0.213) Data 0.046 (0.048) Loss 2.1769 (2.2355) Prec@1 50.781 (48.641) Prec@5 76.562 (73.794)
Epoch: [64][1920/5005] Time 0.208 (0.213) Data 0.042 (0.047) Loss 2.1812 (2.2354) Prec@1 50.000 (48.642) Prec@5 75.391 (73.798)
Epoch: [64][1930/5005] Time 0.209 (0.213) Data 0.042 (0.047) Loss 2.1000 (2.2351) Prec@1 50.000 (48.649) Prec@5 76.172 (73.807)
Epoch: [64][1940/5005] Time 0.206 (0.213) Data 0.046 (0.047) Loss 2.0869 (2.2346) Prec@1 54.297 (48.655) Prec@5 75.391 (73.817)
Epoch: [64][1950/5005] Time 0.202 (0.213) Data 0.047 (0.047) Loss 2.2562 (2.2345) Prec@1 46.094 (48.658) Prec@5 70.312 (73.819)
Epoch: [64][1960/5005] Time 0.216 (0.213) Data 0.043 (0.047) Loss 2.1483 (2.2344) Prec@1 50.000 (48.662) Prec@5 73.438 (73.822)
Epoch: [64][1970/5005] Time 0.209 (0.213) Data 0.042 (0.047) Loss 2.1476 (2.2343) Prec@1 50.000 (48.659) Prec@5 73.438 (73.824)
Epoch: [64][1980/5005] Time 0.205 (0.213) Data 0.052 (0.047) Loss 2.0091 (2.2342) Prec@1 54.297 (48.665) Prec@5 76.562 (73.826)
Epoch: [64][1990/5005] Time 0.206 (0.213) Data 0.056 (0.047) Loss 2.1456 (2.2339) Prec@1 48.828 (48.671) Prec@5 73.828 (73.830)
Epoch: [64][2000/5005] Time 0.208 (0.214) Data 0.039 (0.048) Loss 2.1882 (2.2341) Prec@1 50.391 (48.667) Prec@5 74.609 (73.825)
Epoch: [64][2010/5005] Time 0.201 (0.214) Data 0.043 (0.047) Loss 2.1614 (2.2341) Prec@1 48.828 (48.668) Prec@5 73.828 (73.828)
Epoch: [64][2020/5005] Time 0.204 (0.214) Data 0.042 (0.047) Loss 2.2667 (2.2342) Prec@1 48.828 (48.669) Prec@5 72.266 (73.822)
Epoch: [64][2030/5005] Time 0.212 (0.213) Data 0.043 (0.047) Loss 2.1588 (2.2344) Prec@1 50.000 (48.672) Prec@5 75.781 (73.816)
Epoch: [64][2040/5005] Time 0.207 (0.213) Data 0.043 (0.047) Loss 1.8753 (2.2341) Prec@1 52.734 (48.678) Prec@5 83.594 (73.824)
Epoch: [64][2050/5005] Time 0.211 (0.213) Data 0.042 (0.047) Loss 2.2997 (2.2340) Prec@1 48.828 (48.682) Prec@5 70.703 (73.827)
Epoch: [64][2060/5005] Time 0.220 (0.213) Data 0.042 (0.047) Loss 2.1534 (2.2341) Prec@1 49.219 (48.672) Prec@5 75.000 (73.826)
Epoch: [64][2070/5005] Time 0.217 (0.213) Data 0.042 (0.047) Loss 2.3562 (2.2343) Prec@1 42.188 (48.669) Prec@5 72.266 (73.814)
Epoch: [64][2080/5005] Time 0.198 (0.213) Data 0.062 (0.047) Loss 2.2305 (2.2341) Prec@1 46.875 (48.671) Prec@5 73.828 (73.814)
Epoch: [64][2090/5005] Time 0.208 (0.213) Data 0.043 (0.047) Loss 2.1298 (2.2337) Prec@1 50.391 (48.676) Prec@5 76.172 (73.818)
Epoch: [64][2100/5005] Time 0.210 (0.213) Data 0.044 (0.047) Loss 2.3622 (2.2337) Prec@1 48.438 (48.673) Prec@5 69.922 (73.816)
Epoch: [64][2110/5005] Time 0.210 (0.213) Data 0.043 (0.047) Loss 2.0685 (2.2338) Prec@1 48.438 (48.671) Prec@5 78.125 (73.815)
Epoch: [64][2120/5005] Time 0.211 (0.213) Data 0.044 (0.047) Loss 2.3192 (2.2337) Prec@1 49.609 (48.673) Prec@5 71.875 (73.822)
Epoch: [64][2130/5005] Time 0.210 (0.213) Data 0.043 (0.047) Loss 2.2834 (2.2333) Prec@1 50.391 (48.680) Prec@5 72.266 (73.833)
Epoch: [64][2140/5005] Time 0.213 (0.213) Data 0.045 (0.047) Loss 2.1768 (2.2333) Prec@1 49.219 (48.685) Prec@5 75.391 (73.835)
Epoch: [64][2150/5005] Time 0.199 (0.213) Data 0.050 (0.047) Loss 2.0109 (2.2331) Prec@1 54.297 (48.689) Prec@5 80.859 (73.834)
Epoch: [64][2160/5005] Time 0.209 (0.213) Data 0.045 (0.047) Loss 2.2598 (2.2331) Prec@1 49.219 (48.689) Prec@5 74.609 (73.836)
Epoch: [64][2170/5005] Time 0.209 (0.213) Data 0.047 (0.047) Loss 2.0295 (2.2328) Prec@1 51.953 (48.698) Prec@5 78.516 (73.843)
Epoch: [64][2180/5005] Time 0.214 (0.213) Data 0.042 (0.047) Loss 2.1885 (2.2327) Prec@1 52.344 (48.697) Prec@5 73.828 (73.845)
Epoch: [64][2190/5005] Time 0.203 (0.213) Data 0.049 (0.047) Loss 2.3906 (2.2327) Prec@1 42.578 (48.693) Prec@5 69.922 (73.845)
Epoch: [64][2200/5005] Time 0.206 (0.213) Data 0.041 (0.047) Loss 2.1614 (2.2329) Prec@1 50.781 (48.688) Prec@5 73.828 (73.843)
Epoch: [64][2210/5005] Time 0.207 (0.213) Data 0.042 (0.047) Loss 2.3336 (2.2332) Prec@1 48.828 (48.684) Prec@5 71.484 (73.838)
Epoch: [64][2220/5005] Time 0.214 (0.213) Data 0.043 (0.047) Loss 2.2134 (2.2329) Prec@1 49.609 (48.686) Prec@5 72.266 (73.843)
Epoch: [64][2230/5005] Time 0.216 (0.213) Data 0.043 (0.047) Loss 2.2367 (2.2330) Prec@1 48.828 (48.684) Prec@5 75.000 (73.842)
Epoch: [64][2240/5005] Time 0.215 (0.213) Data 0.042 (0.047) Loss 2.1309 (2.2329) Prec@1 52.734 (48.686) Prec@5 76.953 (73.847)
Epoch: [64][2250/5005] Time 0.208 (0.213) Data 0.046 (0.047) Loss 2.1584 (2.2331) Prec@1 50.000 (48.686) Prec@5 75.000 (73.843)
Epoch: [64][2260/5005] Time 0.217 (0.213) Data 0.047 (0.047) Loss 2.0472 (2.2328) Prec@1 52.344 (48.696) Prec@5 75.000 (73.845)
Epoch: [64][2270/5005] Time 0.198 (0.213) Data 0.059 (0.047) Loss 2.4723 (2.2327) Prec@1 42.188 (48.703) Prec@5 69.922 (73.846)
Epoch: [64][2280/5005] Time 0.206 (0.213) Data 0.050 (0.047) Loss 2.3568 (2.2325) Prec@1 50.781 (48.706) Prec@5 73.047 (73.851)
Epoch: [64][2290/5005] Time 0.210 (0.213) Data 0.048 (0.047) Loss 2.2839 (2.2327) Prec@1 47.656 (48.707) Prec@5 71.094 (73.851)
Epoch: [64][2300/5005] Time 0.197 (0.213) Data 0.065 (0.047) Loss 2.1839 (2.2326) Prec@1 47.266 (48.712) Prec@5 73.828 (73.852)
Epoch: [64][2310/5005] Time 0.212 (0.213) Data 0.057 (0.047) Loss 1.9368 (2.2325) Prec@1 55.859 (48.720) Prec@5 75.391 (73.853)
Epoch: [64][2320/5005] Time 0.208 (0.213) Data 0.053 (0.047) Loss 2.2789 (2.2324) Prec@1 46.484 (48.722) Prec@5 73.828 (73.857)
Epoch: [64][2330/5005] Time 0.201 (0.213) Data 0.041 (0.047) Loss 2.0993 (2.2322) Prec@1 52.734 (48.727) Prec@5 75.781 (73.860)
Epoch: [64][2340/5005] Time 0.213 (0.213) Data 0.046 (0.047) Loss 2.1495 (2.2320) Prec@1 51.172 (48.733) Prec@5 75.781 (73.862)
Epoch: [64][2350/5005] Time 0.202 (0.213) Data 0.045 (0.047) Loss 2.1124 (2.2317) Prec@1 52.734 (48.734) Prec@5 77.344 (73.865)
Epoch: [64][2360/5005] Time 0.213 (0.213) Data 0.044 (0.047) Loss 2.3748 (2.2319) Prec@1 43.750 (48.734) Prec@5 66.406 (73.862)
Epoch: [64][2370/5005] Time 0.212 (0.213) Data 0.043 (0.047) Loss 2.3096 (2.2319) Prec@1 46.094 (48.734) Prec@5 72.656 (73.858)
Epoch: [64][2380/5005] Time 0.213 (0.213) Data 0.043 (0.047) Loss 2.1632 (2.2315) Prec@1 51.562 (48.739) Prec@5 76.172 (73.869)
Epoch: [64][2390/5005] Time 0.208 (0.213) Data 0.040 (0.047) Loss 2.2480 (2.2315) Prec@1 46.094 (48.739) Prec@5 76.172 (73.868)
Epoch: [64][2400/5005] Time 0.210 (0.213) Data 0.044 (0.047) Loss 2.1627 (2.2314) Prec@1 49.609 (48.734) Prec@5 75.000 (73.869)
Epoch: [64][2410/5005] Time 0.202 (0.213) Data 0.042 (0.047) Loss 2.4387 (2.2314) Prec@1 44.922 (48.732) Prec@5 70.703 (73.868)
Epoch: [64][2420/5005] Time 0.218 (0.213) Data 0.041 (0.047) Loss 2.2947 (2.2313) Prec@1 49.609 (48.740) Prec@5 75.000 (73.871)
Epoch: [64][2430/5005] Time 0.209 (0.213) Data 0.042 (0.047) Loss 2.1653 (2.2313) Prec@1 48.047 (48.742) Prec@5 71.875 (73.868)
Epoch: [64][2440/5005] Time 0.209 (0.213) Data 0.049 (0.047) Loss 1.9985 (2.2312) Prec@1 53.516 (48.743) Prec@5 77.734 (73.866)
Epoch: [64][2450/5005] Time 0.201 (0.213) Data 0.047 (0.047) Loss 2.1099 (2.2311) Prec@1 46.484 (48.744) Prec@5 73.828 (73.866)
Epoch: [64][2460/5005] Time 0.216 (0.213) Data 0.043 (0.047) Loss 2.2823 (2.2309) Prec@1 48.438 (48.749) Prec@5 70.703 (73.867)
Epoch: [64][2470/5005] Time 0.224 (0.213) Data 0.044 (0.047) Loss 2.0139 (2.2307) Prec@1 51.172 (48.749) Prec@5 76.953 (73.869)
Epoch: [64][2480/5005] Time 0.205 (0.213) Data 0.047 (0.047) Loss 2.3909 (2.2309) Prec@1 44.141 (48.743) Prec@5 70.312 (73.865)
Epoch: [64][2490/5005] Time 0.207 (0.213) Data 0.049 (0.047) Loss 1.9147 (2.2309) Prec@1 54.688 (48.743) Prec@5 80.469 (73.866)
Epoch: [64][2500/5005] Time 0.204 (0.213) Data 0.060 (0.047) Loss 2.2852 (2.2308) Prec@1 45.703 (48.743) Prec@5 72.266 (73.866)
Epoch: [64][2510/5005] Time 0.197 (0.213) Data 0.059 (0.047) Loss 2.3141 (2.2308) Prec@1 47.656 (48.740) Prec@5 73.828 (73.867)
Epoch: [64][2520/5005] Time 0.206 (0.213) Data 0.048 (0.047) Loss 2.2647 (2.2308) Prec@1 47.656 (48.735) Prec@5 76.953 (73.871)
Epoch: [64][2530/5005] Time 0.213 (0.213) Data 0.045 (0.047) Loss 2.3709 (2.2309) Prec@1 44.141 (48.732) Prec@5 72.266 (73.869)
Epoch: [64][2540/5005] Time 0.214 (0.213) Data 0.040 (0.047) Loss 2.2192 (2.2309) Prec@1 46.484 (48.733) Prec@5 75.781 (73.870)
Epoch: [64][2550/5005] Time 0.210 (0.213) Data 0.064 (0.047) Loss 2.1896 (2.2309) Prec@1 46.094 (48.731) Prec@5 75.391 (73.870)
Epoch: [64][2560/5005] Time 0.207 (0.213) Data 0.050 (0.047) Loss 2.4131 (2.2309) Prec@1 43.359 (48.732) Prec@5 72.656 (73.870)
Epoch: [64][2570/5005] Time 0.200 (0.213) Data 0.042 (0.047) Loss 2.2228 (2.2310) Prec@1 48.828 (48.730) Prec@5 75.781 (73.868)
Epoch: [64][2580/5005] Time 0.213 (0.213) Data 0.047 (0.047) Loss 2.4305 (2.2314) Prec@1 41.406 (48.723) Prec@5 71.484 (73.858)
Epoch: [64][2590/5005] Time 0.209 (0.213) Data 0.044 (0.047) Loss 2.3044 (2.2311) Prec@1 50.391 (48.729) Prec@5 72.266 (73.861)
Epoch: [64][2600/5005] Time 0.196 (0.213) Data 0.054 (0.047) Loss 2.3089 (2.2313) Prec@1 46.875 (48.726) Prec@5 73.047 (73.858)
Epoch: [64][2610/5005] Time 0.201 (0.212) Data 0.054 (0.047) Loss 2.3718 (2.2310) Prec@1 45.312 (48.731) Prec@5 72.266 (73.863)
Epoch: [64][2620/5005] Time 0.203 (0.212) Data 0.048 (0.047) Loss 2.1492 (2.2310) Prec@1 50.000 (48.732) Prec@5 72.266 (73.864)
Epoch: [64][2630/5005] Time 0.203 (0.212) Data 0.050 (0.047) Loss 2.3945 (2.2312) Prec@1 45.703 (48.730) Prec@5 72.656 (73.862)
Epoch: [64][2640/5005] Time 0.214 (0.212) Data 0.047 (0.047) Loss 2.2980 (2.2312) Prec@1 44.922 (48.734) Prec@5 74.219 (73.864)
Epoch: [64][2650/5005] Time 0.201 (0.212) Data 0.053 (0.047) Loss 2.4343 (2.2311) Prec@1 44.141 (48.735) Prec@5 72.656 (73.862)
Epoch: [64][2660/5005] Time 0.198 (0.212) Data 0.064 (0.047) Loss 2.1621 (2.2311) Prec@1 48.438 (48.734) Prec@5 76.172 (73.861)
Epoch: [64][2670/5005] Time 0.209 (0.212) Data 0.043 (0.047) Loss 1.9284 (2.2308) Prec@1 51.953 (48.740) Prec@5 77.734 (73.862)
Epoch: [64][2680/5005] Time 0.206 (0.212) Data 0.043 (0.047) Loss 1.9853 (2.2307) Prec@1 56.250 (48.740) Prec@5 78.125 (73.866)
Epoch: [64][2690/5005] Time 0.197 (0.212) Data 0.042 (0.047) Loss 2.1347 (2.2306) Prec@1 49.609 (48.743) Prec@5 79.297 (73.868)
Epoch: [64][2700/5005] Time 0.202 (0.212) Data 0.050 (0.047) Loss 2.1465 (2.2306) Prec@1 51.172 (48.745) Prec@5 73.047 (73.868)
Epoch: [64][2710/5005] Time 0.199 (0.212) Data 0.055 (0.047) Loss 1.9711 (2.2308) Prec@1 57.031 (48.743) Prec@5 78.125 (73.865)
Epoch: [64][2720/5005] Time 0.201 (0.212) Data 0.048 (0.047) Loss 2.1241 (2.2308) Prec@1 49.609 (48.746) Prec@5 75.391 (73.864)
Epoch: [64][2730/5005] Time 0.205 (0.212) Data 0.050 (0.047) Loss 2.2653 (2.2306) Prec@1 52.344 (48.752) Prec@5 72.266 (73.870)
Epoch: [64][2740/5005] Time 0.214 (0.212) Data 0.044 (0.047) Loss 2.2158 (2.2305) Prec@1 50.781 (48.753) Prec@5 73.828 (73.873)
Epoch: [64][2750/5005] Time 0.206 (0.212) Data 0.043 (0.047) Loss 2.2506 (2.2304) Prec@1 49.219 (48.757) Prec@5 74.219 (73.875)
Epoch: [64][2760/5005] Time 0.216 (0.212) Data 0.043 (0.047) Loss 2.2526 (2.2303) Prec@1 46.484 (48.756) Prec@5 72.656 (73.875)
Epoch: [64][2770/5005] Time 0.203 (0.212) Data 0.048 (0.047) Loss 2.1182 (2.2304) Prec@1 47.266 (48.755) Prec@5 77.344 (73.875)
Epoch: [64][2780/5005] Time 0.211 (0.212) Data 0.052 (0.047) Loss 2.3789 (2.2303) Prec@1 46.484 (48.759) Prec@5 70.703 (73.875)
Epoch: [64][2790/5005] Time 0.206 (0.212) Data 0.046 (0.047) Loss 2.3083 (2.2304) Prec@1 47.656 (48.759) Prec@5 71.875 (73.874)
Epoch: [64][2800/5005] Time 0.208 (0.212) Data 0.048 (0.047) Loss 1.9764 (2.2303) Prec@1 53.906 (48.762) Prec@5 79.688 (73.876)
Epoch: [64][2810/5005] Time 0.199 (0.212) Data 0.046 (0.047) Loss 2.2502 (2.2303) Prec@1 47.266 (48.763) Prec@5 72.656 (73.874)
Epoch: [64][2820/5005] Time 0.210 (0.212) Data 0.045 (0.047) Loss 2.0649 (2.2302) Prec@1 48.438 (48.765) Prec@5 78.906 (73.879)
Epoch: [64][2830/5005] Time 0.207 (0.212) Data 0.042 (0.047) Loss 2.4095 (2.2302) Prec@1 44.141 (48.762) Prec@5 71.875 (73.880)
Epoch: [64][2840/5005] Time 0.200 (0.212) Data 0.043 (0.047) Loss 2.1734 (2.2303) Prec@1 49.609 (48.757) Prec@5 72.656 (73.878)
Epoch: [64][2850/5005] Time 0.200 (0.212) Data 0.051 (0.047) Loss 2.2385 (2.2303) Prec@1 50.391 (48.758) Prec@5 72.266 (73.877)
Epoch: [64][2860/5005] Time 0.216 (0.212) Data 0.043 (0.047) Loss 2.3272 (2.2305) Prec@1 46.875 (48.759) Prec@5 74.609 (73.878)
Epoch: [64][2870/5005] Time 0.219 (0.212) Data 0.042 (0.047) Loss 2.2081 (2.2303) Prec@1 49.609 (48.761) Prec@5 74.219 (73.882)
Epoch: [64][2880/5005] Time 0.213 (0.212) Data 0.043 (0.047) Loss 2.1771 (2.2302) Prec@1 44.531 (48.758) Prec@5 76.172 (73.886)
Epoch: [64][2890/5005] Time 0.210 (0.212) Data 0.044 (0.047) Loss 2.3174 (2.2302) Prec@1 43.359 (48.760) Prec@5 71.484 (73.887)
Epoch: [64][2900/5005] Time 0.206 (0.212) Data 0.058 (0.047) Loss 1.8715 (2.2300) Prec@1 54.688 (48.762) Prec@5 80.859 (73.892)
Epoch: [64][2910/5005] Time 0.216 (0.212) Data 0.043 (0.047) Loss 2.1942 (2.2299) Prec@1 48.438 (48.762) Prec@5 74.609 (73.893)
Epoch: [64][2920/5005] Time 0.215 (0.212) Data 0.064 (0.047) Loss 2.4028 (2.2299) Prec@1 44.531 (48.763) Prec@5 68.750 (73.894)
Epoch: [64][2930/5005] Time 0.205 (0.212) Data 0.061 (0.047) Loss 2.4499 (2.2299) Prec@1 41.406 (48.757) Prec@5 68.750 (73.890)
Epoch: [64][2940/5005] Time 0.211 (0.212) Data 0.047 (0.047) Loss 2.2337 (2.2296) Prec@1 49.609 (48.761) Prec@5 71.875 (73.896)
Epoch: [64][2950/5005] Time 0.210 (0.212) Data 0.049 (0.048) Loss 2.3247 (2.2294) Prec@1 44.141 (48.764) Prec@5 75.781 (73.899)
Epoch: [64][2960/5005] Time 0.214 (0.212) Data 0.042 (0.048) Loss 2.0641 (2.2292) Prec@1 50.391 (48.766) Prec@5 72.656 (73.899)
Epoch: [64][2970/5005] Time 0.210 (0.212) Data 0.046 (0.048) Loss 2.2543 (2.2291) Prec@1 48.047 (48.766) Prec@5 71.484 (73.901)
Epoch: [64][2980/5005] Time 0.211 (0.212) Data 0.046 (0.048) Loss 2.3388 (2.2292) Prec@1 46.094 (48.763) Prec@5 71.484 (73.900)
Epoch: [64][2990/5005] Time 0.207 (0.212) Data 0.047 (0.048) Loss 2.1181 (2.2292) Prec@1 48.438 (48.761) Prec@5 77.734 (73.902)
Epoch: [64][3000/5005] Time 0.194 (0.212) Data 0.042 (0.048) Loss 2.2966 (2.2290) Prec@1 44.922 (48.765) Prec@5 72.656 (73.907)
Epoch: [64][3010/5005] Time 0.205 (0.212) Data 0.047 (0.048) Loss 2.1373 (2.2291) Prec@1 49.219 (48.764) Prec@5 74.219 (73.903)
Epoch: [64][3020/5005] Time 0.209 (0.212) Data 0.042 (0.047) Loss 2.1905 (2.2293) Prec@1 46.484 (48.760) Prec@5 73.828 (73.902)
Epoch: [64][3030/5005] Time 0.216 (0.212) Data 0.043 (0.047) Loss 2.2522 (2.2292) Prec@1 50.781 (48.762) Prec@5 77.734 (73.907)
Epoch: [64][3040/5005] Time 0.198 (0.212) Data 0.050 (0.047) Loss 2.1719 (2.2292) Prec@1 51.172 (48.769) Prec@5 73.438 (73.905)
Epoch: [64][3050/5005] Time 0.198 (0.212) Data 0.055 (0.047) Loss 2.1819 (2.2292) Prec@1 48.438 (48.769) Prec@5 75.391 (73.906)
Epoch: [64][3060/5005] Time 0.205 (0.212) Data 0.059 (0.047) Loss 2.0881 (2.2290) Prec@1 51.562 (48.771) Prec@5 80.469 (73.909)
Epoch: [64][3070/5005] Time 0.206 (0.212) Data 0.058 (0.047) Loss 2.2251 (2.2292) Prec@1 47.656 (48.767) Prec@5 73.438 (73.907)
Epoch: [64][3080/5005] Time 0.210 (0.212) Data 0.047 (0.048) Loss 2.0583 (2.2291) Prec@1 51.953 (48.766) Prec@5 75.000 (73.907)
Epoch: [64][3090/5005] Time 0.215 (0.212) Data 0.046 (0.047) Loss 2.4003 (2.2290) Prec@1 44.141 (48.764) Prec@5 69.141 (73.909)
Epoch: [64][3100/5005] Time 0.209 (0.212) Data 0.044 (0.047) Loss 2.3216 (2.2291) Prec@1 48.438 (48.762) Prec@5 72.266 (73.907)
Epoch: [64][3110/5005] Time 0.203 (0.212) Data 0.043 (0.047) Loss 1.9371 (2.2287) Prec@1 55.078 (48.770) Prec@5 79.688 (73.914)
Epoch: [64][3120/5005] Time 0.202 (0.212) Data 0.046 (0.047) Loss 2.2116 (2.2287) Prec@1 47.266 (48.768) Prec@5 73.047 (73.908)
Epoch: [64][3130/5005] Time 0.206 (0.212) Data 0.052 (0.047) Loss 2.2250 (2.2285) Prec@1 46.094 (48.771) Prec@5 73.828 (73.911)
Epoch: [64][3140/5005] Time 0.215 (0.212) Data 0.049 (0.047) Loss 1.9750 (2.2283) Prec@1 53.516 (48.774) Prec@5 76.172 (73.913)
Epoch: [64][3150/5005] Time 0.209 (0.212) Data 0.045 (0.047) Loss 2.1806 (2.2280) Prec@1 51.562 (48.781) Prec@5 75.000 (73.915)
Epoch: [64][3160/5005] Time 0.214 (0.212) Data 0.044 (0.047) Loss 2.2111 (2.2280) Prec@1 48.047 (48.784) Prec@5 75.000 (73.917)
Epoch: [64][3170/5005] Time 0.200 (0.212) Data 0.047 (0.047) Loss 2.2971 (2.2281) Prec@1 48.438 (48.786) Prec@5 72.656 (73.915)
Epoch: [64][3180/5005] Time 0.214 (0.212) Data 0.043 (0.047) Loss 2.1551 (2.2281) Prec@1 50.781 (48.785) Prec@5 73.828 (73.915)
Epoch: [64][3190/5005] Time 0.200 (0.212) Data 0.058 (0.047) Loss 2.2168 (2.2280) Prec@1 46.094 (48.786) Prec@5 75.000 (73.920)
Epoch: [64][3200/5005] Time 0.209 (0.212) Data 0.045 (0.047) Loss 2.4628 (2.2279) Prec@1 44.922 (48.793) Prec@5 71.094 (73.917)
Epoch: [64][3210/5005] Time 0.206 (0.212) Data 0.053 (0.047) Loss 2.2678 (2.2280) Prec@1 48.438 (48.795) Prec@5 75.391 (73.919)
Epoch: [64][3220/5005] Time 0.213 (0.212) Data 0.043 (0.047) Loss 2.3143 (2.2280) Prec@1 48.438 (48.797) Prec@5 74.219 (73.920)
Epoch: [64][3230/5005] Time 0.195 (0.212) Data 0.042 (0.047) Loss 2.2085 (2.2279) Prec@1 48.438 (48.799) Prec@5 75.391 (73.920)
Epoch: [64][3240/5005] Time 0.203 (0.212) Data 0.050 (0.047) Loss 2.5222 (2.2281) Prec@1 42.969 (48.796) Prec@5 69.531 (73.917)
Epoch: [64][3250/5005] Time 0.209 (0.212) Data 0.052 (0.048) Loss 2.1715 (2.2281) Prec@1 51.562 (48.796) Prec@5 75.000 (73.920)
Epoch: [64][3260/5005] Time 0.216 (0.212) Data 0.051 (0.048) Loss 2.2308 (2.2282) Prec@1 47.656 (48.793) Prec@5 71.094 (73.915)
Epoch: [64][3270/5005] Time 0.195 (0.212) Data 0.045 (0.048) Loss 2.3415 (2.2281) Prec@1 48.828 (48.792) Prec@5 69.531 (73.917)
Epoch: [64][3280/5005] Time 0.209 (0.212) Data 0.052 (0.048) Loss 2.1155 (2.2281) Prec@1 53.516 (48.790) Prec@5 73.828 (73.914)
Epoch: [64][3290/5005] Time 0.194 (0.212) Data 0.048 (0.048) Loss 2.2474 (2.2280) Prec@1 50.000 (48.791) Prec@5 73.828 (73.915)
Epoch: [64][3300/5005] Time 0.208 (0.212) Data 0.050 (0.048) Loss 2.2380 (2.2280) Prec@1 44.531 (48.787) Prec@5 75.781 (73.912)
Epoch: [64][3310/5005] Time 0.211 (0.212) Data 0.046 (0.048) Loss 1.9413 (2.2279) Prec@1 53.125 (48.788) Prec@5 79.688 (73.914)
Epoch: [64][3320/5005] Time 0.203 (0.212) Data 0.060 (0.048) Loss 2.2189 (2.2279) Prec@1 53.125 (48.787) Prec@5 69.531 (73.913)
Epoch: [64][3330/5005] Time 0.204 (0.212) Data 0.044 (0.048) Loss 2.3514 (2.2279) Prec@1 49.609 (48.785) Prec@5 69.922 (73.914)
Epoch: [64][3340/5005] Time 0.194 (0.211) Data 0.056 (0.048) Loss 2.2658 (2.2279) Prec@1 48.047 (48.788) Prec@5 73.828 (73.916)
Epoch: [64][3350/5005] Time 0.209 (0.211) Data 0.043 (0.048) Loss 2.3154 (2.2278) Prec@1 47.656 (48.786) Prec@5 74.219 (73.919)
Epoch: [64][3360/5005] Time 0.215 (0.211) Data 0.043 (0.048) Loss 2.1930 (2.2278) Prec@1 50.000 (48.785) Prec@5 71.875 (73.918)
Epoch: [64][3370/5005] Time 0.196 (0.211) Data 0.041 (0.048) Loss 2.2201 (2.2278) Prec@1 48.438 (48.787) Prec@5 75.391 (73.919)
Epoch: [64][3380/5005] Time 0.195 (0.211) Data 0.048 (0.048) Loss 2.1856 (2.2277) Prec@1 48.828 (48.785) Prec@5 76.562 (73.922)
Epoch: [64][3390/5005] Time 0.211 (0.211) Data 0.042 (0.048) Loss 2.1601 (2.2278) Prec@1 52.734 (48.782) Prec@5 77.734 (73.922)
Epoch: [64][3400/5005] Time 0.208 (0.211) Data 0.043 (0.048) Loss 2.1030 (2.2278) Prec@1 50.391 (48.780) Prec@5 74.609 (73.922)
Epoch: [64][3410/5005] Time 0.205 (0.211) Data 0.045 (0.048) Loss 2.1906 (2.2277) Prec@1 46.875 (48.782) Prec@5 75.000 (73.924)
Epoch: [64][3420/5005] Time 0.211 (0.211) Data 0.049 (0.048) Loss 2.1956 (2.2277) Prec@1 50.781 (48.781) Prec@5 75.000 (73.922)
Epoch: [64][3430/5005] Time 0.207 (0.211) Data 0.047 (0.048) Loss 2.2187 (2.2276) Prec@1 50.391 (48.780) Prec@5 75.391 (73.924)
Epoch: [64][3440/5005] Time 0.210 (0.211) Data 0.042 (0.048) Loss 2.2080 (2.2275) Prec@1 48.047 (48.785) Prec@5 75.391 (73.926)
Epoch: [64][3450/5005] Time 0.209 (0.211) Data 0.047 (0.048) Loss 2.1462 (2.2274) Prec@1 48.047 (48.784) Prec@5 76.172 (73.928)
Epoch: [64][3460/5005] Time 0.199 (0.211) Data 0.050 (0.048) Loss 2.2204 (2.2275) Prec@1 49.219 (48.783) Prec@5 73.828 (73.927)
Epoch: [64][3470/5005] Time 0.206 (0.211) Data 0.044 (0.048) Loss 2.1087 (2.2272) Prec@1 51.172 (48.789) Prec@5 75.391 (73.932)
Epoch: [64][3480/5005] Time 0.211 (0.211) Data 0.043 (0.048) Loss 2.2145 (2.2269) Prec@1 49.609 (48.791) Prec@5 75.000 (73.936)
Epoch: [64][3490/5005] Time 0.209 (0.211) Data 0.044 (0.048) Loss 2.4632 (2.2272) Prec@1 38.672 (48.784) Prec@5 71.094 (73.931)
Epoch: [64][3500/5005] Time 0.214 (0.211) Data 0.043 (0.048) Loss 1.9268 (2.2272) Prec@1 55.859 (48.782) Prec@5 78.906 (73.931)
Epoch: [64][3510/5005] Time 0.206 (0.211) Data 0.042 (0.047) Loss 2.2640 (2.2271) Prec@1 47.266 (48.785) Prec@5 75.000 (73.931)
Epoch: [64][3520/5005] Time 0.207 (0.211) Data 0.045 (0.047) Loss 2.3659 (2.2271) Prec@1 49.609 (48.787) Prec@5 69.141 (73.928)
Epoch: [64][3530/5005] Time 0.209 (0.211) Data 0.050 (0.048) Loss 2.3244 (2.2270) Prec@1 44.922 (48.788) Prec@5 73.047 (73.928)
Epoch: [64][3540/5005] Time 0.211 (0.211) Data 0.046 (0.048) Loss 2.1238 (2.2269) Prec@1 51.172 (48.792) Prec@5 78.125 (73.932)
Epoch: [64][3550/5005] Time 0.213 (0.211) Data 0.041 (0.048) Loss 2.2447 (2.2268) Prec@1 44.531 (48.790) Prec@5 71.094 (73.932)
Epoch: [64][3560/5005] Time 0.213 (0.211) Data 0.050 (0.048) Loss 2.3191 (2.2267) Prec@1 47.656 (48.790) Prec@5 73.828 (73.933)
Epoch: [64][3570/5005] Time 0.200 (0.211) Data 0.044 (0.048) Loss 2.3517 (2.2268) Prec@1 47.656 (48.790) Prec@5 70.703 (73.930)
Epoch: [64][3580/5005] Time 0.201 (0.211) Data 0.051 (0.048) Loss 2.1865 (2.2269) Prec@1 50.391 (48.788) Prec@5 73.438 (73.927)
Epoch: [64][3590/5005] Time 0.202 (0.211) Data 0.046 (0.048) Loss 2.2521 (2.2267) Prec@1 49.219 (48.793) Prec@5 74.219 (73.932)
Epoch: [64][3600/5005] Time 0.205 (0.211) Data 0.044 (0.048) Loss 2.2330 (2.2264) Prec@1 51.562 (48.798) Prec@5 72.266 (73.934)
Epoch: [64][3610/5005] Time 0.201 (0.211) Data 0.048 (0.048) Loss 2.1205 (2.2263) Prec@1 51.953 (48.801) Prec@5 73.438 (73.934)
Epoch: [64][3620/5005] Time 0.209 (0.211) Data 0.044 (0.048) Loss 2.3310 (2.2261) Prec@1 45.312 (48.806) Prec@5 71.484 (73.937)
Epoch: [64][3630/5005] Time 0.209 (0.211) Data 0.047 (0.048) Loss 2.4174 (2.2260) Prec@1 44.922 (48.807) Prec@5 69.922 (73.938)
Epoch: [64][3640/5005] Time 0.209 (0.211) Data 0.044 (0.048) Loss 2.2296 (2.2260) Prec@1 49.219 (48.806) Prec@5 72.266 (73.937)
Epoch: [64][3650/5005] Time 0.219 (0.211) Data 0.044 (0.048) Loss 2.0938 (2.2260) Prec@1 52.734 (48.809) Prec@5 74.219 (73.939)
Epoch: [64][3660/5005] Time 0.202 (0.211) Data 0.044 (0.048) Loss 2.2558 (2.2258) Prec@1 47.656 (48.811) Prec@5 73.438 (73.941)
Epoch: [64][3670/5005] Time 0.205 (0.211) Data 0.055 (0.048) Loss 2.3350 (2.2260) Prec@1 46.094 (48.808) Prec@5 69.922 (73.940)
Epoch: [64][3680/5005] Time 0.203 (0.211) Data 0.047 (0.048) Loss 2.1129 (2.2260) Prec@1 52.344 (48.808) Prec@5 74.609 (73.941)
Epoch: [64][3690/5005] Time 0.211 (0.211) Data 0.046 (0.048) Loss 2.0038 (2.2260) Prec@1 50.391 (48.807) Prec@5 77.734 (73.943)
Epoch: [64][3700/5005] Time 0.215 (0.211) Data 0.045 (0.048) Loss 2.3694 (2.2261) Prec@1 50.391 (48.808) Prec@5 70.703 (73.943)
Epoch: [64][3710/5005] Time 0.202 (0.211) Data 0.051 (0.048) Loss 2.0934 (2.2261) Prec@1 48.828 (48.805) Prec@5 77.734 (73.944)
Epoch: [64][3720/5005] Time 0.204 (0.211) Data 0.047 (0.048) Loss 2.3348 (2.2260) Prec@1 48.047 (48.806) Prec@5 69.531 (73.943)
Epoch: [64][3730/5005] Time 0.213 (0.211) Data 0.050 (0.048) Loss 2.0366 (2.2260) Prec@1 54.297 (48.807) Prec@5 77.344 (73.944)
Epoch: [64][3740/5005] Time 0.206 (0.211) Data 0.043 (0.048) Loss 2.1328 (2.2257) Prec@1 53.906 (48.815) Prec@5 75.391 (73.947)
Epoch: [64][3750/5005] Time 0.209 (0.211) Data 0.044 (0.048) Loss 2.0973 (2.2258) Prec@1 49.609 (48.807) Prec@5 75.000 (73.944)
Epoch: [64][3760/5005] Time 0.219 (0.211) Data 0.043 (0.048) Loss 2.2841 (2.2259) Prec@1 47.266 (48.802) Prec@5 72.266 (73.943)
Epoch: [64][3770/5005] Time 0.209 (0.211) Data 0.043 (0.048) Loss 2.3249 (2.2256) Prec@1 45.703 (48.807) Prec@5 71.875 (73.946)
Epoch: [64][3780/5005] Time 0.201 (0.211) Data 0.057 (0.048) Loss 2.1473 (2.2256) Prec@1 46.875 (48.808) Prec@5 75.000 (73.948)
Epoch: [64][3790/5005] Time 0.200 (0.211) Data 0.064 (0.048) Loss 2.2977 (2.2256) Prec@1 47.266 (48.806) Prec@5 71.094 (73.948)
Epoch: [64][3800/5005] Time 0.213 (0.211) Data 0.045 (0.048) Loss 2.0230 (2.2258) Prec@1 51.953 (48.804) Prec@5 78.906 (73.946)
Epoch: [64][3810/5005] Time 0.211 (0.211) Data 0.043 (0.048) Loss 2.1436 (2.2258) Prec@1 54.688 (48.804) Prec@5 75.000 (73.948)
Epoch: [64][3820/5005] Time 0.218 (0.211) Data 0.043 (0.047) Loss 2.1259 (2.2256) Prec@1 47.656 (48.808) Prec@5 76.562 (73.953)
Epoch: [64][3830/5005] Time 0.199 (0.211) Data 0.047 (0.047) Loss 2.2429 (2.2253) Prec@1 45.312 (48.810) Prec@5 73.828 (73.959)
Epoch: [64][3840/5005] Time 0.216 (0.211) Data 0.044 (0.048) Loss 2.4728 (2.2255) Prec@1 46.094 (48.806) Prec@5 67.188 (73.954)
Epoch: [64][3850/5005] Time 0.194 (0.211) Data 0.041 (0.048) Loss 2.2188 (2.2253) Prec@1 52.734 (48.807) Prec@5 74.219 (73.957)
Epoch: [64][3860/5005] Time 0.215 (0.211) Data 0.043 (0.047) Loss 1.9585 (2.2253) Prec@1 57.812 (48.811) Prec@5 77.734 (73.958)
Epoch: [64][3870/5005] Time 0.211 (0.211) Data 0.046 (0.047) Loss 2.1316 (2.2253) Prec@1 48.438 (48.806) Prec@5 76.562 (73.957)
Epoch: [64][3880/5005] Time 0.207 (0.211) Data 0.039 (0.047) Loss 2.1211 (2.2253) Prec@1 54.297 (48.810) Prec@5 76.172 (73.957)
Epoch: [64][3890/5005] Time 0.205 (0.211) Data 0.058 (0.047) Loss 2.3999 (2.2252) Prec@1 44.922 (48.810) Prec@5 71.875 (73.960)
Epoch: [64][3900/5005] Time 0.215 (0.211) Data 0.046 (0.047) Loss 2.4454 (2.2252) Prec@1 43.750 (48.808) Prec@5 71.484 (73.961)
Epoch: [64][3910/5005] Time 0.211 (0.211) Data 0.044 (0.047) Loss 2.3996 (2.2253) Prec@1 44.141 (48.807) Prec@5 73.438 (73.962)
Epoch: [64][3920/5005] Time 0.203 (0.211) Data 0.051 (0.047) Loss 2.2153 (2.2253) Prec@1 48.438 (48.807) Prec@5 73.438 (73.962)
Epoch: [64][3930/5005] Time 0.209 (0.211) Data 0.043 (0.047) Loss 2.2235 (2.2251) Prec@1 48.828 (48.810) Prec@5 74.609 (73.966)
Epoch: [64][3940/5005] Time 0.194 (0.211) Data 0.045 (0.047) Loss 2.2445 (2.2251) Prec@1 46.484 (48.809) Prec@5 71.875 (73.967)
Epoch: [64][3950/5005] Time 0.210 (0.211) Data 0.049 (0.047) Loss 2.1366 (2.2248) Prec@1 49.219 (48.815) Prec@5 75.781 (73.971)
Epoch: [64][3960/5005] Time 0.215 (0.211) Data 0.062 (0.047) Loss 2.0729 (2.2247) Prec@1 50.781 (48.812) Prec@5 78.125 (73.971)
Epoch: [64][3970/5005] Time 0.202 (0.211) Data 0.045 (0.047) Loss 2.1482 (2.2247) Prec@1 48.828 (48.814) Prec@5 75.000 (73.971)
Epoch: [64][3980/5005] Time 0.201 (0.211) Data 0.050 (0.047) Loss 2.0517 (2.2246) Prec@1 50.000 (48.817) Prec@5 78.125 (73.972)
Epoch: [64][3990/5005] Time 0.208 (0.211) Data 0.050 (0.048) Loss 2.2750 (2.2247) Prec@1 48.438 (48.818) Prec@5 72.656 (73.971)
Epoch: [64][4000/5005] Time 0.204 (0.211) Data 0.047 (0.048) Loss 2.1211 (2.2246) Prec@1 48.438 (48.819) Prec@5 72.656 (73.972)
Epoch: [64][4010/5005] Time 0.211 (0.211) Data 0.046 (0.048) Loss 2.3289 (2.2243) Prec@1 46.094 (48.823) Prec@5 71.875 (73.977)
Epoch: [64][4020/5005] Time 0.208 (0.211) Data 0.043 (0.047) Loss 2.4299 (2.2243) Prec@1 44.922 (48.826) Prec@5 69.141 (73.977)
Epoch: [64][4030/5005] Time 0.211 (0.211) Data 0.044 (0.047) Loss 2.3957 (2.2245) Prec@1 48.047 (48.826) Prec@5 73.828 (73.973)
Epoch: [64][4040/5005] Time 0.213 (0.211) Data 0.043 (0.047) Loss 2.2745 (2.2246) Prec@1 48.828 (48.824) Prec@5 69.531 (73.974)
Epoch: [64][4050/5005] Time 0.204 (0.211) Data 0.041 (0.047) Loss 2.4937 (2.2245) Prec@1 41.016 (48.827) Prec@5 71.875 (73.976)
Epoch: [64][4060/5005] Time 0.206 (0.211) Data 0.043 (0.047) Loss 2.2646 (2.2245) Prec@1 43.750 (48.825) Prec@5 73.828 (73.976)
Epoch: [64][4070/5005] Time 0.215 (0.211) Data 0.042 (0.047) Loss 2.3336 (2.2246) Prec@1 48.047 (48.823) Prec@5 71.875 (73.977)
Epoch: [64][4080/5005] Time 0.211 (0.211) Data 0.042 (0.047) Loss 2.0284 (2.2246) Prec@1 50.781 (48.820) Prec@5 78.516 (73.976)
Epoch: [64][4090/5005] Time 0.195 (0.211) Data 0.057 (0.048) Loss 2.4870 (2.2245) Prec@1 42.188 (48.823) Prec@5 68.750 (73.975)
Epoch: [64][4100/5005] Time 0.203 (0.211) Data 0.041 (0.048) Loss 2.1753 (2.2244) Prec@1 47.266 (48.822) Prec@5 75.000 (73.977)
Epoch: [64][4110/5005] Time 0.199 (0.211) Data 0.045 (0.048) Loss 2.2843 (2.2243) Prec@1 47.266 (48.820) Prec@5 68.750 (73.979)
Epoch: [64][4120/5005] Time 0.207 (0.211) Data 0.048 (0.048) Loss 2.2484 (2.2241) Prec@1 48.047 (48.822) Prec@5 70.703 (73.983)
Epoch: [64][4130/5005] Time 0.200 (0.211) Data 0.041 (0.048) Loss 2.3217 (2.2240) Prec@1 48.047 (48.825) Prec@5 71.484 (73.984)
Epoch: [64][4140/5005] Time 0.208 (0.211) Data 0.042 (0.048) Loss 2.2619 (2.2240) Prec@1 50.781 (48.827) Prec@5 71.875 (73.985)
Epoch: [64][4150/5005] Time 0.211 (0.211) Data 0.051 (0.048) Loss 2.4020 (2.2239) Prec@1 46.875 (48.829) Prec@5 71.875 (73.986)
Epoch: [64][4160/5005] Time 0.222 (0.211) Data 0.044 (0.048) Loss 2.2379 (2.2240) Prec@1 49.219 (48.829) Prec@5 73.438 (73.986)
Epoch: [64][4170/5005] Time 0.215 (0.211) Data 0.047 (0.048) Loss 2.2080 (2.2239) Prec@1 49.219 (48.832) Prec@5 74.609 (73.987)
Epoch: [64][4180/5005] Time 0.203 (0.211) Data 0.061 (0.048) Loss 2.1830 (2.2239) Prec@1 51.562 (48.831) Prec@5 76.953 (73.989)
Epoch: [64][4190/5005] Time 0.213 (0.211) Data 0.045 (0.048) Loss 1.9936 (2.2237) Prec@1 50.391 (48.834) Prec@5 77.734 (73.993)
Epoch: [64][4200/5005] Time 0.213 (0.211) Data 0.040 (0.048) Loss 2.0099 (2.2237) Prec@1 51.953 (48.834) Prec@5 77.734 (73.993)
Epoch: [64][4210/5005] Time 0.209 (0.211) Data 0.046 (0.048) Loss 2.0348 (2.2236) Prec@1 53.125 (48.836) Prec@5 76.172 (73.994)
Epoch: [64][4220/5005] Time 0.215 (0.211) Data 0.047 (0.048) Loss 2.4622 (2.2238) Prec@1 43.750 (48.835) Prec@5 71.094 (73.992)
Epoch: [64][4230/5005] Time 0.208 (0.211) Data 0.045 (0.048) Loss 2.2408 (2.2237) Prec@1 48.047 (48.837) Prec@5 75.000 (73.993)
Epoch: [64][4240/5005] Time 0.208 (0.211) Data 0.044 (0.048) Loss 2.1181 (2.2237) Prec@1 48.438 (48.833) Prec@5 76.953 (73.994)
Epoch: [64][4250/5005] Time 0.201 (0.211) Data 0.042 (0.048) Loss 2.1156 (2.2235) Prec@1 53.125 (48.836) Prec@5 73.828 (73.995)
Epoch: [64][4260/5005] Time 0.212 (0.211) Data 0.043 (0.047) Loss 2.1362 (2.2234) Prec@1 47.266 (48.838) Prec@5 76.562 (73.994)
Epoch: [64][4270/5005] Time 0.212 (0.211) Data 0.041 (0.047) Loss 2.4813 (2.2235) Prec@1 44.922 (48.837) Prec@5 70.703 (73.994)
Epoch: [64][4280/5005] Time 0.207 (0.211) Data 0.039 (0.047) Loss 2.2509 (2.2234) Prec@1 49.219 (48.839) Prec@5 72.656 (73.993)
Epoch: [64][4290/5005] Time 0.203 (0.211) Data 0.047 (0.047) Loss 2.3935 (2.2234) Prec@1 42.969 (48.838) Prec@5 70.703 (73.991)
Epoch: [64][4300/5005] Time 0.202 (0.211) Data 0.045 (0.047) Loss 2.0026 (2.2232) Prec@1 55.078 (48.843) Prec@5 79.688 (73.996)
Epoch: [64][4310/5005] Time 0.203 (0.211) Data 0.048 (0.047) Loss 2.1381 (2.2231) Prec@1 50.391 (48.845) Prec@5 75.000 (73.997)
Epoch: [64][4320/5005] Time 0.211 (0.211) Data 0.048 (0.047) Loss 2.1295 (2.2231) Prec@1 50.000 (48.845) Prec@5 76.172 (73.997)
Epoch: [64][4330/5005] Time 0.199 (0.211) Data 0.061 (0.048) Loss 2.0673 (2.2229) Prec@1 52.344 (48.849) Prec@5 76.172 (73.998)
Epoch: [64][4340/5005] Time 0.206 (0.211) Data 0.046 (0.048) Loss 2.1777 (2.2230) Prec@1 50.000 (48.846) Prec@5 71.094 (73.995)
Epoch: [64][4350/5005] Time 0.210 (0.211) Data 0.052 (0.048) Loss 2.3325 (2.2229) Prec@1 48.828 (48.849) Prec@5 71.875 (73.996)
Epoch: [64][4360/5005] Time 0.215 (0.211) Data 0.045 (0.048) Loss 1.9043 (2.2227) Prec@1 51.562 (48.851) Prec@5 78.125 (74.000)
Epoch: [64][4370/5005] Time 0.204 (0.211) Data 0.043 (0.048) Loss 2.1130 (2.2227) Prec@1 50.391 (48.855) Prec@5 76.953 (74.001)
Epoch: [64][4380/5005] Time 0.196 (0.211) Data 0.043 (0.048) Loss 2.3012 (2.2227) Prec@1 46.484 (48.853) Prec@5 71.094 (74.003)
Epoch: [64][4390/5005] Time 0.211 (0.211) Data 0.045 (0.048) Loss 2.1855 (2.2226) Prec@1 49.609 (48.859) Prec@5 72.266 (74.004)
Epoch: [64][4400/5005] Time 0.214 (0.211) Data 0.041 (0.047) Loss 2.1658 (2.2225) Prec@1 51.953 (48.862) Prec@5 71.875 (74.005)
Epoch: [64][4410/5005] Time 0.202 (0.211) Data 0.047 (0.048) Loss 2.1116 (2.2224) Prec@1 49.219 (48.864) Prec@5 77.734 (74.007)
Epoch: [64][4420/5005] Time 0.200 (0.211) Data 0.046 (0.048) Loss 1.9604 (2.2223) Prec@1 52.734 (48.863) Prec@5 75.391 (74.007)
Epoch: [64][4430/5005] Time 0.193 (0.211) Data 0.048 (0.048) Loss 2.3372 (2.2221) Prec@1 47.266 (48.867) Prec@5 70.703 (74.009)
Epoch: [64][4440/5005] Time 0.204 (0.211) Data 0.052 (0.048) Loss 2.4599 (2.2221) Prec@1 45.703 (48.869) Prec@5 70.703 (74.011)
Epoch: [64][4450/5005] Time 0.210 (0.211) Data 0.065 (0.048) Loss 2.1468 (2.2221) Prec@1 49.609 (48.868) Prec@5 72.656 (74.011)
Epoch: [64][4460/5005] Time 0.223 (0.211) Data 0.047 (0.048) Loss 2.1974 (2.2220) Prec@1 48.828 (48.870) Prec@5 73.438 (74.015)
Epoch: [64][4470/5005] Time 0.207 (0.211) Data 0.042 (0.048) Loss 2.1028 (2.2219) Prec@1 48.828 (48.871) Prec@5 76.172 (74.016)
Epoch: [64][4480/5005] Time 0.205 (0.211) Data 0.051 (0.048) Loss 2.0932 (2.2220) Prec@1 50.391 (48.870) Prec@5 73.438 (74.015)
Epoch: [64][4490/5005] Time 0.207 (0.211) Data 0.042 (0.048) Loss 2.2423 (2.2220) Prec@1 50.391 (48.871) Prec@5 74.219 (74.016)
Epoch: [64][4500/5005] Time 0.214 (0.211) Data 0.041 (0.048) Loss 2.2462 (2.2219) Prec@1 50.000 (48.873) Prec@5 74.219 (74.017)
Epoch: [64][4510/5005] Time 0.203 (0.211) Data 0.041 (0.048) Loss 2.0142 (2.2219) Prec@1 53.906 (48.872) Prec@5 78.516 (74.017)
Epoch: [64][4520/5005] Time 0.206 (0.211) Data 0.044 (0.048) Loss 2.1668 (2.2218) Prec@1 48.828 (48.875) Prec@5 74.219 (74.019)
Epoch: [64][4530/5005] Time 0.210 (0.211) Data 0.043 (0.048) Loss 2.0677 (2.2217) Prec@1 53.125 (48.877) Prec@5 77.734 (74.020)
Epoch: [64][4540/5005] Time 0.209 (0.211) Data 0.050 (0.048) Loss 2.3081 (2.2217) Prec@1 47.656 (48.876) Prec@5 71.875 (74.018)
Epoch: [64][4550/5005] Time 0.198 (0.211) Data 0.047 (0.048) Loss 2.1507 (2.2216) Prec@1 50.781 (48.877) Prec@5 73.828 (74.019)
Epoch: [64][4560/5005] Time 0.207 (0.211) Data 0.059 (0.048) Loss 2.1057 (2.2217) Prec@1 52.344 (48.877) Prec@5 75.781 (74.018)
Epoch: [64][4570/5005] Time 0.209 (0.210) Data 0.062 (0.048) Loss 2.4328 (2.2215) Prec@1 42.578 (48.880) Prec@5 69.531 (74.018)
Epoch: [64][4580/5005] Time 0.200 (0.210) Data 0.053 (0.048) Loss 2.3572 (2.2214) Prec@1 42.188 (48.880) Prec@5 72.266 (74.021)
Epoch: [64][4590/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.1117 (2.2215) Prec@1 52.734 (48.881) Prec@5 76.172 (74.021)
Epoch: [64][4600/5005] Time 0.222 (0.210) Data 0.041 (0.048) Loss 1.8972 (2.2214) Prec@1 56.641 (48.882) Prec@5 79.297 (74.021)
Epoch: [64][4610/5005] Time 0.213 (0.210) Data 0.042 (0.048) Loss 2.0483 (2.2214) Prec@1 48.828 (48.883) Prec@5 74.219 (74.021)
Epoch: [64][4620/5005] Time 0.211 (0.210) Data 0.049 (0.048) Loss 2.1888 (2.2214) Prec@1 47.656 (48.883) Prec@5 73.438 (74.021)
Epoch: [64][4630/5005] Time 0.213 (0.210) Data 0.052 (0.048) Loss 2.0611 (2.2212) Prec@1 54.297 (48.889) Prec@5 77.734 (74.024)
Epoch: [64][4640/5005] Time 0.214 (0.210) Data 0.043 (0.048) Loss 2.2784 (2.2211) Prec@1 49.219 (48.889) Prec@5 73.047 (74.025)
Epoch: [64][4650/5005] Time 0.218 (0.210) Data 0.046 (0.048) Loss 2.2648 (2.2211) Prec@1 44.141 (48.889) Prec@5 73.047 (74.026)
Epoch: [64][4660/5005] Time 0.199 (0.210) Data 0.047 (0.048) Loss 2.5378 (2.2210) Prec@1 42.578 (48.889) Prec@5 68.359 (74.026)
Epoch: [64][4670/5005] Time 0.203 (0.210) Data 0.041 (0.048) Loss 2.0962 (2.2210) Prec@1 53.906 (48.891) Prec@5 73.047 (74.026)
Epoch: [64][4680/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.1430 (2.2209) Prec@1 48.828 (48.894) Prec@5 76.172 (74.027)
Epoch: [64][4690/5005] Time 0.214 (0.210) Data 0.041 (0.048) Loss 2.3539 (2.2209) Prec@1 46.875 (48.894) Prec@5 71.484 (74.026)
Epoch: [64][4700/5005] Time 0.209 (0.210) Data 0.044 (0.048) Loss 2.0635 (2.2209) Prec@1 51.172 (48.895) Prec@5 73.828 (74.028)
Epoch: [64][4710/5005] Time 0.199 (0.210) Data 0.040 (0.048) Loss 2.1465 (2.2207) Prec@1 51.172 (48.896) Prec@5 76.172 (74.031)
Epoch: [64][4720/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.1245 (2.2206) Prec@1 55.469 (48.898) Prec@5 77.344 (74.033)
Epoch: [64][4730/5005] Time 0.198 (0.210) Data 0.056 (0.048) Loss 2.1927 (2.2207) Prec@1 50.781 (48.895) Prec@5 73.828 (74.030)
Epoch: [64][4740/5005] Time 0.201 (0.210) Data 0.040 (0.048) Loss 2.1535 (2.2206) Prec@1 47.266 (48.898) Prec@5 76.172 (74.033)
Epoch: [64][4750/5005] Time 0.203 (0.210) Data 0.049 (0.048) Loss 2.2067 (2.2205) Prec@1 48.438 (48.900) Prec@5 76.562 (74.037)
Epoch: [64][4760/5005] Time 0.199 (0.210) Data 0.055 (0.048) Loss 2.4815 (2.2203) Prec@1 43.750 (48.904) Prec@5 70.703 (74.041)
Epoch: [64][4770/5005] Time 0.195 (0.210) Data 0.050 (0.048) Loss 2.1169 (2.2202) Prec@1 52.734 (48.906) Prec@5 75.391 (74.042)
Epoch: [64][4780/5005] Time 0.202 (0.210) Data 0.057 (0.048) Loss 2.2984 (2.2203) Prec@1 50.000 (48.908) Prec@5 73.047 (74.042)
Epoch: [64][4790/5005] Time 0.213 (0.210) Data 0.042 (0.048) Loss 2.4187 (2.2203) Prec@1 46.094 (48.909) Prec@5 68.359 (74.042)
Epoch: [64][4800/5005] Time 0.215 (0.210) Data 0.041 (0.048) Loss 2.3026 (2.2201) Prec@1 48.828 (48.910) Prec@5 71.094 (74.045)
Epoch: [64][4810/5005] Time 0.206 (0.210) Data 0.057 (0.048) Loss 2.4683 (2.2201) Prec@1 44.922 (48.912) Prec@5 69.141 (74.045)
Epoch: [64][4820/5005] Time 0.204 (0.210) Data 0.058 (0.048) Loss 2.5114 (2.2200) Prec@1 43.750 (48.913) Prec@5 68.359 (74.047)
Epoch: [64][4830/5005] Time 0.220 (0.210) Data 0.040 (0.048) Loss 2.3844 (2.2199) Prec@1 47.656 (48.918) Prec@5 71.484 (74.048)
Epoch: [64][4840/5005] Time 0.214 (0.210) Data 0.047 (0.048) Loss 2.0458 (2.2200) Prec@1 50.781 (48.917) Prec@5 79.297 (74.047)
Epoch: [64][4850/5005] Time 0.214 (0.210) Data 0.044 (0.048) Loss 2.2357 (2.2201) Prec@1 46.484 (48.914) Prec@5 71.875 (74.044)
Epoch: [64][4860/5005] Time 0.214 (0.210) Data 0.045 (0.048) Loss 2.1393 (2.2200) Prec@1 49.609 (48.914) Prec@5 74.219 (74.045)
Epoch: [64][4870/5005] Time 0.203 (0.210) Data 0.043 (0.048) Loss 2.1178 (2.2200) Prec@1 52.734 (48.916) Prec@5 76.953 (74.045)
Epoch: [64][4880/5005] Time 0.214 (0.210) Data 0.044 (0.048) Loss 2.0702 (2.2199) Prec@1 53.125 (48.919) Prec@5 77.344 (74.046)
Epoch: [64][4890/5005] Time 0.200 (0.210) Data 0.058 (0.048) Loss 2.1441 (2.2199) Prec@1 52.734 (48.920) Prec@5 75.000 (74.046)
Epoch: [64][4900/5005] Time 0.209 (0.210) Data 0.049 (0.048) Loss 2.0537 (2.2198) Prec@1 51.172 (48.918) Prec@5 78.125 (74.049)
Epoch: [64][4910/5005] Time 0.212 (0.210) Data 0.046 (0.048) Loss 2.3040 (2.2196) Prec@1 44.922 (48.921) Prec@5 73.047 (74.053)
Epoch: [64][4920/5005] Time 0.201 (0.210) Data 0.042 (0.048) Loss 2.0872 (2.2195) Prec@1 46.484 (48.921) Prec@5 75.000 (74.054)
Epoch: [64][4930/5005] Time 0.209 (0.210) Data 0.042 (0.048) Loss 2.4066 (2.2194) Prec@1 46.094 (48.921) Prec@5 69.531 (74.056)
Epoch: [64][4940/5005] Time 0.208 (0.210) Data 0.040 (0.048) Loss 2.1896 (2.2195) Prec@1 53.516 (48.921) Prec@5 73.828 (74.054)
Epoch: [64][4950/5005] Time 0.214 (0.210) Data 0.041 (0.048) Loss 1.9380 (2.2194) Prec@1 53.906 (48.923) Prec@5 78.906 (74.055)
Epoch: [64][4960/5005] Time 0.219 (0.210) Data 0.042 (0.048) Loss 2.3210 (2.2194) Prec@1 48.438 (48.925) Prec@5 72.266 (74.056)
Epoch: [64][4970/5005] Time 0.202 (0.210) Data 0.047 (0.048) Loss 2.2473 (2.2193) Prec@1 46.484 (48.926) Prec@5 74.219 (74.059)
Epoch: [64][4980/5005] Time 0.207 (0.210) Data 0.041 (0.048) Loss 2.2105 (2.2191) Prec@1 50.391 (48.929) Prec@5 74.609 (74.061)
Epoch: [64][4990/5005] Time 0.205 (0.210) Data 0.032 (0.048) Loss 2.3142 (2.2190) Prec@1 44.531 (48.931) Prec@5 69.531 (74.062)
Epoch: [64][5000/5005] Time 0.206 (0.210) Data 0.021 (0.048) Loss 2.1851 (2.2189) Prec@1 48.828 (48.934) Prec@5 73.047 (74.063)
Test: [0/196] Time 1.640 (1.640) Loss 2.4079 (2.4079) Prec@1 47.656 (47.656) Prec@5 70.312 (70.312)
Test: [10/196] Time 0.044 (0.297) Loss 2.4520 (2.5571) Prec@1 49.609 (44.034) Prec@5 72.266 (69.318)
Test: [20/196] Time 0.044 (0.223) Loss 2.4743 (2.5614) Prec@1 48.047 (43.824) Prec@5 73.047 (69.717)
Test: [30/196] Time 0.994 (0.224) Loss 2.4037 (2.5608) Prec@1 44.141 (43.750) Prec@5 70.703 (69.355)
Test: [40/196] Time 0.044 (0.212) Loss 2.2544 (2.5503) Prec@1 51.953 (44.055) Prec@5 75.000 (69.465)
Test: [50/196] Time 0.043 (0.205) Loss 2.6334 (2.5525) Prec@1 47.656 (43.957) Prec@5 69.922 (69.416)
Test: [60/196] Time 0.044 (0.195) Loss 2.4260 (2.5390) Prec@1 49.219 (44.256) Prec@5 72.266 (69.416)
Test: [70/196] Time 0.245 (0.190) Loss 2.4609 (2.5330) Prec@1 46.094 (44.328) Prec@5 69.531 (69.377)
Test: [80/196] Time 0.626 (0.190) Loss 2.3926 (2.5394) Prec@1 50.000 (44.276) Prec@5 75.391 (69.300)
Test: [90/196] Time 0.045 (0.185) Loss 2.5810 (2.5411) Prec@1 44.531 (44.308) Prec@5 67.969 (69.321)
Test: [100/196] Time 0.085 (0.184) Loss 2.5889 (2.5390) Prec@1 47.266 (44.446) Prec@5 67.188 (69.338)
Test: [110/196] Time 0.043 (0.182) Loss 2.7364 (2.5406) Prec@1 41.797 (44.503) Prec@5 65.234 (69.334)
Test: [120/196] Time 0.158 (0.184) Loss 2.3839 (2.5375) Prec@1 45.312 (44.599) Prec@5 72.656 (69.421)
Test: [130/196] Time 0.690 (0.186) Loss 2.2554 (2.5339) Prec@1 47.656 (44.618) Prec@5 73.438 (69.469)
Test: [140/196] Time 0.329 (0.185) Loss 2.3881 (2.5361) Prec@1 51.172 (44.562) Prec@5 71.094 (69.465)
Test: [150/196] Time 0.043 (0.183) Loss 2.1720 (2.5354) Prec@1 50.781 (44.529) Prec@5 79.297 (69.523)
Test: [160/196] Time 0.047 (0.183) Loss 2.4683 (2.5337) Prec@1 52.344 (44.575) Prec@5 68.750 (69.541)
Test: [170/196] Time 0.043 (0.181) Loss 2.4673 (2.5361) Prec@1 45.312 (44.540) Prec@5 72.656 (69.513)
Test: [180/196] Time 0.112 (0.180) Loss 2.7369 (2.5411) Prec@1 41.797 (44.454) Prec@5 66.016 (69.406)
Test: [190/196] Time 0.202 (0.181) Loss 2.7364 (2.5441) Prec@1 43.359 (44.419) Prec@5 64.062 (69.296)
* Prec@1 44.436 Prec@5 69.320
Learning rate: 1e-05
Epoch: [65][0/5005] Time 1.211 (1.211) Data 1.105 (1.105) Loss 2.1672 (2.1672) Prec@1 49.609 (49.609) Prec@5 75.781 (75.781)
Epoch: [65][10/5005] Time 0.195 (0.293) Data 0.051 (0.145) Loss 2.1166 (2.2261) Prec@1 52.344 (48.544) Prec@5 72.656 (74.183)
Epoch: [65][20/5005] Time 0.199 (0.250) Data 0.041 (0.098) Loss 2.4289 (2.2343) Prec@1 44.141 (48.344) Prec@5 74.219 (74.144)
Epoch: [65][30/5005] Time 0.197 (0.235) Data 0.055 (0.081) Loss 2.1917 (2.2047) Prec@1 48.828 (48.828) Prec@5 75.781 (74.307)
Epoch: [65][40/5005] Time 0.203 (0.227) Data 0.043 (0.073) Loss 2.1782 (2.2185) Prec@1 49.219 (48.657) Prec@5 75.000 (74.076)
Epoch: [65][50/5005] Time 0.206 (0.222) Data 0.044 (0.067) Loss 2.1052 (2.2151) Prec@1 51.953 (48.752) Prec@5 76.562 (74.127)
Epoch: [65][60/5005] Time 0.199 (0.219) Data 0.040 (0.063) Loss 2.2756 (2.2152) Prec@1 45.312 (48.751) Prec@5 77.344 (74.084)
Epoch: [65][70/5005] Time 0.205 (0.217) Data 0.042 (0.061) Loss 2.2744 (2.2253) Prec@1 45.312 (48.460) Prec@5 72.656 (73.894)
Epoch: [65][80/5005] Time 0.191 (0.215) Data 0.048 (0.059) Loss 2.1554 (2.2203) Prec@1 48.047 (48.428) Prec@5 76.172 (73.997)
Epoch: [65][90/5005] Time 0.200 (0.214) Data 0.041 (0.058) Loss 2.2819 (2.2199) Prec@1 49.609 (48.442) Prec@5 73.438 (74.008)
Epoch: [65][100/5005] Time 0.202 (0.212) Data 0.041 (0.056) Loss 2.0445 (2.2222) Prec@1 48.047 (48.360) Prec@5 78.516 (73.991)
Epoch: [65][110/5005] Time 0.204 (0.212) Data 0.044 (0.055) Loss 2.1081 (2.2221) Prec@1 52.734 (48.445) Prec@5 73.828 (73.983)
Epoch: [65][120/5005] Time 0.203 (0.211) Data 0.052 (0.055) Loss 2.3095 (2.2246) Prec@1 43.750 (48.554) Prec@5 68.750 (73.877)
Epoch: [65][130/5005] Time 0.206 (0.210) Data 0.046 (0.054) Loss 2.4362 (2.2267) Prec@1 48.438 (48.581) Prec@5 72.656 (73.810)
Epoch: [65][140/5005] Time 0.206 (0.210) Data 0.043 (0.054) Loss 2.2382 (2.2250) Prec@1 49.219 (48.587) Prec@5 76.172 (73.867)
Epoch: [65][150/5005] Time 0.202 (0.210) Data 0.064 (0.054) Loss 2.3683 (2.2253) Prec@1 47.266 (48.621) Prec@5 68.359 (73.908)
Epoch: [65][160/5005] Time 0.198 (0.209) Data 0.047 (0.054) Loss 2.0892 (2.2261) Prec@1 52.344 (48.641) Prec@5 75.000 (73.855)
Epoch: [65][170/5005] Time 0.211 (0.209) Data 0.063 (0.053) Loss 2.2387 (2.2261) Prec@1 48.047 (48.616) Prec@5 76.172 (73.878)
Epoch: [65][180/5005] Time 0.207 (0.210) Data 0.058 (0.053) Loss 2.3582 (2.2241) Prec@1 47.656 (48.681) Prec@5 68.750 (73.930)
Epoch: [65][190/5005] Time 0.219 (0.210) Data 0.044 (0.053) Loss 2.2669 (2.2283) Prec@1 48.047 (48.609) Prec@5 72.656 (73.867)
Epoch: [65][200/5005] Time 0.224 (0.210) Data 0.051 (0.053) Loss 2.3913 (2.2292) Prec@1 42.578 (48.566) Prec@5 71.484 (73.818)
Epoch: [65][210/5005] Time 0.218 (0.211) Data 0.059 (0.053) Loss 1.9936 (2.2279) Prec@1 52.344 (48.574) Prec@5 77.734 (73.841)
Epoch: [65][220/5005] Time 0.218 (0.211) Data 0.055 (0.053) Loss 2.2359 (2.2253) Prec@1 51.562 (48.595) Prec@5 76.953 (73.911)
Epoch: [65][230/5005] Time 0.226 (0.211) Data 0.051 (0.053) Loss 2.1945 (2.2267) Prec@1 47.266 (48.612) Prec@5 74.219 (73.921)
Epoch: [65][240/5005] Time 0.207 (0.212) Data 0.065 (0.053) Loss 2.1182 (2.2248) Prec@1 50.391 (48.627) Prec@5 74.219 (73.955)
Epoch: [65][250/5005] Time 0.217 (0.212) Data 0.043 (0.053) Loss 2.2615 (2.2222) Prec@1 50.391 (48.699) Prec@5 74.609 (74.009)
Epoch: [65][260/5005] Time 0.216 (0.212) Data 0.043 (0.053) Loss 2.0614 (2.2212) Prec@1 50.391 (48.707) Prec@5 79.297 (74.042)
Epoch: [65][270/5005] Time 0.218 (0.212) Data 0.044 (0.053) Loss 2.2568 (2.2204) Prec@1 48.828 (48.745) Prec@5 73.828 (74.066)
Epoch: [65][280/5005] Time 0.219 (0.212) Data 0.044 (0.053) Loss 2.5993 (2.2236) Prec@1 43.750 (48.700) Prec@5 67.578 (74.019)
Epoch: [65][290/5005] Time 0.215 (0.213) Data 0.052 (0.052) Loss 2.0820 (2.2251) Prec@1 51.172 (48.660) Prec@5 76.172 (73.973)
Epoch: [65][300/5005] Time 0.202 (0.213) Data 0.045 (0.052) Loss 2.0084 (2.2245) Prec@1 51.562 (48.696) Prec@5 74.219 (73.967)
Epoch: [65][310/5005] Time 0.218 (0.213) Data 0.043 (0.052) Loss 2.1886 (2.2225) Prec@1 49.219 (48.740) Prec@5 73.828 (73.979)
Epoch: [65][320/5005] Time 0.211 (0.213) Data 0.048 (0.052) Loss 2.4131 (2.2234) Prec@1 47.266 (48.760) Prec@5 73.047 (73.977)
Epoch: [65][330/5005] Time 0.219 (0.213) Data 0.044 (0.052) Loss 1.9546 (2.2232) Prec@1 53.516 (48.738) Prec@5 76.562 (73.953)
Epoch: [65][340/5005] Time 0.215 (0.213) Data 0.058 (0.051) Loss 2.2694 (2.2266) Prec@1 52.734 (48.720) Prec@5 75.781 (73.905)
Epoch: [65][350/5005] Time 0.210 (0.213) Data 0.039 (0.051) Loss 2.2537 (2.2258) Prec@1 44.531 (48.740) Prec@5 71.875 (73.913)
Epoch: [65][360/5005] Time 0.220 (0.213) Data 0.038 (0.051) Loss 2.2813 (2.2249) Prec@1 49.219 (48.768) Prec@5 72.656 (73.916)
Epoch: [65][370/5005] Time 0.218 (0.213) Data 0.043 (0.051) Loss 2.2251 (2.2238) Prec@1 48.047 (48.784) Prec@5 76.172 (73.941)
Epoch: [65][380/5005] Time 0.213 (0.213) Data 0.040 (0.051) Loss 2.2322 (2.2250) Prec@1 50.391 (48.741) Prec@5 71.094 (73.902)
Epoch: [65][390/5005] Time 0.207 (0.213) Data 0.046 (0.051) Loss 2.1436 (2.2249) Prec@1 48.438 (48.721) Prec@5 76.562 (73.901)
Epoch: [65][400/5005] Time 0.218 (0.213) Data 0.047 (0.051) Loss 2.0414 (2.2239) Prec@1 51.953 (48.723) Prec@5 77.344 (73.914)
Epoch: [65][410/5005] Time 0.224 (0.212) Data 0.048 (0.051) Loss 2.0637 (2.2233) Prec@1 51.562 (48.743) Prec@5 77.734 (73.938)
Epoch: [65][420/5005] Time 0.206 (0.212) Data 0.049 (0.051) Loss 2.0851 (2.2222) Prec@1 50.391 (48.773) Prec@5 76.562 (73.957)
Epoch: [65][430/5005] Time 0.218 (0.213) Data 0.043 (0.051) Loss 2.0871 (2.2213) Prec@1 53.516 (48.775) Prec@5 76.953 (73.977)
Epoch: [65][440/5005] Time 0.213 (0.213) Data 0.046 (0.051) Loss 2.1198 (2.2215) Prec@1 56.250 (48.786) Prec@5 71.875 (73.974)
Epoch: [65][450/5005] Time 0.213 (0.213) Data 0.047 (0.051) Loss 2.0418 (2.2222) Prec@1 50.781 (48.783) Prec@5 77.734 (73.969)
Epoch: [65][460/5005] Time 0.212 (0.213) Data 0.044 (0.051) Loss 2.2035 (2.2221) Prec@1 50.391 (48.788) Prec@5 74.219 (73.981)
Epoch: [65][470/5005] Time 0.212 (0.213) Data 0.060 (0.051) Loss 2.2153 (2.2232) Prec@1 47.656 (48.787) Prec@5 73.047 (73.965)
Epoch: [65][480/5005] Time 0.210 (0.213) Data 0.051 (0.051) Loss 2.2628 (2.2227) Prec@1 46.484 (48.795) Prec@5 72.656 (73.966)
Epoch: [65][490/5005] Time 0.211 (0.213) Data 0.047 (0.051) Loss 2.1014 (2.2228) Prec@1 57.422 (48.795) Prec@5 74.609 (73.945)
Epoch: [65][500/5005] Time 0.222 (0.213) Data 0.046 (0.051) Loss 2.3479 (2.2246) Prec@1 50.391 (48.802) Prec@5 69.922 (73.913)
Epoch: [65][510/5005] Time 0.204 (0.213) Data 0.083 (0.051) Loss 2.4068 (2.2248) Prec@1 44.922 (48.804) Prec@5 71.875 (73.916)
Epoch: [65][520/5005] Time 0.210 (0.213) Data 0.058 (0.051) Loss 2.1737 (2.2247) Prec@1 51.172 (48.818) Prec@5 74.219 (73.919)
Epoch: [65][530/5005] Time 0.213 (0.213) Data 0.047 (0.051) Loss 2.1900 (2.2246) Prec@1 49.609 (48.827) Prec@5 74.219 (73.926)
Epoch: [65][540/5005] Time 0.215 (0.213) Data 0.046 (0.051) Loss 2.3068 (2.2259) Prec@1 47.656 (48.799) Prec@5 71.875 (73.913)
Epoch: [65][550/5005] Time 0.213 (0.213) Data 0.047 (0.051) Loss 2.0980 (2.2249) Prec@1 50.000 (48.805) Prec@5 76.953 (73.933)
Epoch: [65][560/5005] Time 0.208 (0.213) Data 0.045 (0.051) Loss 2.2090 (2.2248) Prec@1 50.000 (48.808) Prec@5 75.781 (73.946)
Epoch: [65][570/5005] Time 0.206 (0.213) Data 0.046 (0.051) Loss 2.2994 (2.2258) Prec@1 48.828 (48.783) Prec@5 71.484 (73.933)
Epoch: [65][580/5005] Time 0.216 (0.213) Data 0.041 (0.051) Loss 2.2264 (2.2248) Prec@1 50.000 (48.805) Prec@5 73.438 (73.950)
Epoch: [65][590/5005] Time 0.204 (0.213) Data 0.052 (0.051) Loss 2.4425 (2.2253) Prec@1 43.359 (48.799) Prec@5 70.312 (73.940)
Epoch: [65][600/5005] Time 0.221 (0.213) Data 0.042 (0.051) Loss 2.1395 (2.2259) Prec@1 48.438 (48.779) Prec@5 75.391 (73.930)
Epoch: [65][610/5005] Time 0.209 (0.213) Data 0.043 (0.051) Loss 2.1878 (2.2260) Prec@1 47.266 (48.776) Prec@5 72.656 (73.927)
Epoch: [65][620/5005] Time 0.206 (0.213) Data 0.059 (0.051) Loss 2.2117 (2.2262) Prec@1 50.391 (48.796) Prec@5 71.875 (73.922)
Epoch: [65][630/5005] Time 0.217 (0.213) Data 0.041 (0.051) Loss 2.5037 (2.2263) Prec@1 43.750 (48.808) Prec@5 71.484 (73.915)
Epoch: [65][640/5005] Time 0.211 (0.212) Data 0.043 (0.050) Loss 2.2371 (2.2262) Prec@1 45.703 (48.799) Prec@5 73.828 (73.917)
Epoch: [65][650/5005] Time 0.215 (0.213) Data 0.043 (0.050) Loss 2.3181 (2.2266) Prec@1 45.703 (48.794) Prec@5 69.141 (73.920)
Epoch: [65][660/5005] Time 0.214 (0.213) Data 0.042 (0.050) Loss 2.3450 (2.2261) Prec@1 44.141 (48.796) Prec@5 71.875 (73.924)
Epoch: [65][670/5005] Time 0.215 (0.213) Data 0.043 (0.050) Loss 2.3922 (2.2261) Prec@1 43.750 (48.792) Prec@5 73.047 (73.911)
Epoch: [65][680/5005] Time 0.218 (0.213) Data 0.044 (0.050) Loss 2.1554 (2.2260) Prec@1 47.656 (48.794) Prec@5 75.781 (73.907)
Epoch: [65][690/5005] Time 0.197 (0.213) Data 0.047 (0.050) Loss 2.0811 (2.2252) Prec@1 51.172 (48.819) Prec@5 76.953 (73.912)
Epoch: [65][700/5005] Time 0.206 (0.213) Data 0.048 (0.050) Loss 2.3466 (2.2252) Prec@1 46.875 (48.805) Prec@5 73.047 (73.913)
Epoch: [65][710/5005] Time 0.211 (0.213) Data 0.043 (0.050) Loss 1.9542 (2.2251) Prec@1 53.125 (48.810) Prec@5 80.078 (73.911)
Epoch: [65][720/5005] Time 0.217 (0.212) Data 0.043 (0.050) Loss 2.0693 (2.2247) Prec@1 50.391 (48.824) Prec@5 76.562 (73.912)
Epoch: [65][730/5005] Time 0.213 (0.213) Data 0.043 (0.050) Loss 2.4430 (2.2250) Prec@1 44.141 (48.816) Prec@5 70.312 (73.917)
Epoch: [65][740/5005] Time 0.215 (0.213) Data 0.044 (0.050) Loss 2.3243 (2.2254) Prec@1 49.219 (48.814) Prec@5 71.875 (73.912)
Epoch: [65][750/5005] Time 0.213 (0.213) Data 0.044 (0.050) Loss 2.0442 (2.2252) Prec@1 51.172 (48.824) Prec@5 76.562 (73.917)
Epoch: [65][760/5005] Time 0.212 (0.213) Data 0.043 (0.050) Loss 2.2854 (2.2253) Prec@1 46.875 (48.828) Prec@5 70.312 (73.904)
Epoch: [65][770/5005] Time 0.213 (0.213) Data 0.044 (0.049) Loss 2.1154 (2.2244) Prec@1 48.828 (48.851) Prec@5 76.172 (73.918)
Epoch: [65][780/5005] Time 0.215 (0.213) Data 0.057 (0.049) Loss 2.1798 (2.2243) Prec@1 50.781 (48.853) Prec@5 70.703 (73.895)
Epoch: [65][790/5005] Time 0.214 (0.213) Data 0.043 (0.049) Loss 2.1584 (2.2239) Prec@1 48.438 (48.866) Prec@5 76.953 (73.906)
Epoch: [65][800/5005] Time 0.206 (0.213) Data 0.052 (0.049) Loss 2.1182 (2.2231) Prec@1 47.656 (48.867) Prec@5 76.562 (73.917)
Epoch: [65][810/5005] Time 0.207 (0.213) Data 0.051 (0.049) Loss 2.3269 (2.2233) Prec@1 44.531 (48.857) Prec@5 71.484 (73.919)
Epoch: [65][820/5005] Time 0.221 (0.213) Data 0.047 (0.049) Loss 2.3437 (2.2232) Prec@1 45.703 (48.865) Prec@5 73.047 (73.919)
Epoch: [65][830/5005] Time 0.221 (0.213) Data 0.050 (0.049) Loss 2.2040 (2.2233) Prec@1 48.438 (48.852) Prec@5 74.609 (73.915)
Epoch: [65][840/5005] Time 0.216 (0.213) Data 0.048 (0.049) Loss 2.1674 (2.2238) Prec@1 51.562 (48.851) Prec@5 74.219 (73.910)
Epoch: [65][850/5005] Time 0.212 (0.212) Data 0.044 (0.050) Loss 2.3028 (2.2229) Prec@1 47.656 (48.867) Prec@5 73.047 (73.927)
Epoch: [65][860/5005] Time 0.209 (0.212) Data 0.052 (0.049) Loss 2.1428 (2.2228) Prec@1 54.297 (48.885) Prec@5 73.047 (73.922)
Epoch: [65][870/5005] Time 0.212 (0.212) Data 0.045 (0.050) Loss 2.2501 (2.2217) Prec@1 47.266 (48.903) Prec@5 75.000 (73.939)
Epoch: [65][880/5005] Time 0.202 (0.212) Data 0.045 (0.049) Loss 2.1456 (2.2220) Prec@1 48.047 (48.896) Prec@5 76.562 (73.933)
Epoch: [65][890/5005] Time 0.209 (0.212) Data 0.040 (0.049) Loss 2.5802 (2.2217) Prec@1 43.750 (48.899) Prec@5 68.359 (73.935)
Epoch: [65][900/5005] Time 0.203 (0.212) Data 0.043 (0.049) Loss 2.0627 (2.2211) Prec@1 50.391 (48.911) Prec@5 78.516 (73.953)
Epoch: [65][910/5005] Time 0.207 (0.212) Data 0.042 (0.049) Loss 2.1111 (2.2211) Prec@1 48.828 (48.904) Prec@5 75.391 (73.946)
Epoch: [65][920/5005] Time 0.212 (0.212) Data 0.047 (0.049) Loss 2.2766 (2.2205) Prec@1 46.875 (48.916) Prec@5 71.484 (73.951)
Epoch: [65][930/5005] Time 0.213 (0.212) Data 0.048 (0.049) Loss 2.3553 (2.2202) Prec@1 50.000 (48.922) Prec@5 69.141 (73.941)
Epoch: [65][940/5005] Time 0.191 (0.212) Data 0.061 (0.049) Loss 2.1324 (2.2204) Prec@1 47.266 (48.926) Prec@5 77.734 (73.951)
Epoch: [65][950/5005] Time 0.203 (0.212) Data 0.058 (0.049) Loss 2.3073 (2.2212) Prec@1 46.875 (48.902) Prec@5 71.484 (73.937)
Epoch: [65][960/5005] Time 0.213 (0.212) Data 0.046 (0.049) Loss 2.3772 (2.2210) Prec@1 44.922 (48.896) Prec@5 73.047 (73.941)
Epoch: [65][970/5005] Time 0.214 (0.212) Data 0.041 (0.049) Loss 2.1283 (2.2211) Prec@1 52.344 (48.899) Prec@5 76.562 (73.942)
Epoch: [65][980/5005] Time 0.215 (0.212) Data 0.042 (0.049) Loss 2.1649 (2.2203) Prec@1 49.219 (48.905) Prec@5 73.828 (73.946)
Epoch: [65][990/5005] Time 0.196 (0.212) Data 0.056 (0.049) Loss 2.2798 (2.2208) Prec@1 47.656 (48.891) Prec@5 73.828 (73.935)
Epoch: [65][1000/5005] Time 0.210 (0.212) Data 0.048 (0.049) Loss 2.3789 (2.2206) Prec@1 41.797 (48.892) Prec@5 74.219 (73.938)
Epoch: [65][1010/5005] Time 0.214 (0.212) Data 0.046 (0.049) Loss 2.3236 (2.2204) Prec@1 46.094 (48.901) Prec@5 70.312 (73.947)
Epoch: [65][1020/5005] Time 0.210 (0.212) Data 0.045 (0.049) Loss 2.1692 (2.2212) Prec@1 48.828 (48.894) Prec@5 78.125 (73.931)
Epoch: [65][1030/5005] Time 0.198 (0.212) Data 0.053 (0.049) Loss 2.0853 (2.2209) Prec@1 53.516 (48.897) Prec@5 74.609 (73.933)
Epoch: [65][1040/5005] Time 0.214 (0.213) Data 0.045 (0.049) Loss 2.3487 (2.2212) Prec@1 45.312 (48.893) Prec@5 71.484 (73.923)
Epoch: [65][1050/5005] Time 0.210 (0.213) Data 0.046 (0.049) Loss 2.4131 (2.2212) Prec@1 47.266 (48.888) Prec@5 72.266 (73.925)
Epoch: [65][1060/5005] Time 0.208 (0.213) Data 0.042 (0.049) Loss 2.4762 (2.2218) Prec@1 44.141 (48.872) Prec@5 69.531 (73.916)
Epoch: [65][1070/5005] Time 0.214 (0.213) Data 0.045 (0.049) Loss 2.1959 (2.2221) Prec@1 48.828 (48.874) Prec@5 73.828 (73.912)
Epoch: [65][1080/5005] Time 0.206 (0.213) Data 0.044 (0.049) Loss 2.3871 (2.2226) Prec@1 41.406 (48.862) Prec@5 70.703 (73.899)
Epoch: [65][1090/5005] Time 0.216 (0.213) Data 0.044 (0.049) Loss 2.0405 (2.2222) Prec@1 53.125 (48.874) Prec@5 78.906 (73.908)
Epoch: [65][1100/5005] Time 0.212 (0.213) Data 0.043 (0.049) Loss 2.1401 (2.2217) Prec@1 50.000 (48.880) Prec@5 75.000 (73.921)
Epoch: [65][1110/5005] Time 0.216 (0.213) Data 0.044 (0.049) Loss 2.2139 (2.2215) Prec@1 43.750 (48.886) Prec@5 73.828 (73.928)
Epoch: [65][1120/5005] Time 0.211 (0.213) Data 0.044 (0.049) Loss 2.1634 (2.2205) Prec@1 51.562 (48.904) Prec@5 72.656 (73.940)
Epoch: [65][1130/5005] Time 0.210 (0.213) Data 0.045 (0.049) Loss 2.1683 (2.2207) Prec@1 49.609 (48.896) Prec@5 75.781 (73.942)
Epoch: [65][1140/5005] Time 0.207 (0.213) Data 0.041 (0.049) Loss 2.1614 (2.2204) Prec@1 49.609 (48.904) Prec@5 76.953 (73.956)
Epoch: [65][1150/5005] Time 0.208 (0.213) Data 0.043 (0.049) Loss 2.0420 (2.2197) Prec@1 53.125 (48.921) Prec@5 75.781 (73.970)
Epoch: [65][1160/5005] Time 0.212 (0.213) Data 0.049 (0.049) Loss 2.3498 (2.2197) Prec@1 42.578 (48.920) Prec@5 71.484 (73.971)
Epoch: [65][1170/5005] Time 0.216 (0.213) Data 0.042 (0.049) Loss 2.1710 (2.2199) Prec@1 53.906 (48.919) Prec@5 73.438 (73.962)
Epoch: [65][1180/5005] Time 0.203 (0.213) Data 0.062 (0.049) Loss 2.2873 (2.2200) Prec@1 48.438 (48.909) Prec@5 73.047 (73.959)
Epoch: [65][1190/5005] Time 0.201 (0.213) Data 0.049 (0.049) Loss 2.0361 (2.2195) Prec@1 51.172 (48.918) Prec@5 76.172 (73.961)
Epoch: [65][1200/5005] Time 0.213 (0.213) Data 0.052 (0.049) Loss 2.5070 (2.2195) Prec@1 45.312 (48.917) Prec@5 67.578 (73.958)
Epoch: [65][1210/5005] Time 0.206 (0.213) Data 0.062 (0.049) Loss 2.2503 (2.2198) Prec@1 46.094 (48.913) Prec@5 75.781 (73.961)
Epoch: [65][1220/5005] Time 0.221 (0.213) Data 0.048 (0.049) Loss 2.1166 (2.2202) Prec@1 48.047 (48.908) Prec@5 75.781 (73.962)
Epoch: [65][1230/5005] Time 0.206 (0.213) Data 0.065 (0.049) Loss 2.2033 (2.2202) Prec@1 54.297 (48.901) Prec@5 75.391 (73.958)
Epoch: [65][1240/5005] Time 0.210 (0.213) Data 0.042 (0.049) Loss 2.2652 (2.2206) Prec@1 48.438 (48.896) Prec@5 71.484 (73.951)
Epoch: [65][1250/5005] Time 0.221 (0.213) Data 0.046 (0.049) Loss 2.5516 (2.2210) Prec@1 45.703 (48.887) Prec@5 66.016 (73.941)
Epoch: [65][1260/5005] Time 0.211 (0.213) Data 0.038 (0.049) Loss 1.9321 (2.2203) Prec@1 52.344 (48.897) Prec@5 78.125 (73.959)
Epoch: [65][1270/5005] Time 0.216 (0.213) Data 0.044 (0.049) Loss 2.3207 (2.2206) Prec@1 48.438 (48.892) Prec@5 73.828 (73.958)
Epoch: [65][1280/5005] Time 0.216 (0.213) Data 0.043 (0.049) Loss 2.0904 (2.2208) Prec@1 49.609 (48.894) Prec@5 76.953 (73.950)
Epoch: [65][1290/5005] Time 0.213 (0.213) Data 0.045 (0.049) Loss 1.9459 (2.2203) Prec@1 57.031 (48.911) Prec@5 79.297 (73.955)
Epoch: [65][1300/5005] Time 0.210 (0.212) Data 0.048 (0.049) Loss 2.1572 (2.2200) Prec@1 53.516 (48.916) Prec@5 74.609 (73.958)
Epoch: [65][1310/5005] Time 0.212 (0.212) Data 0.044 (0.049) Loss 2.1516 (2.2198) Prec@1 50.391 (48.917) Prec@5 75.391 (73.967)
Epoch: [65][1320/5005] Time 0.212 (0.212) Data 0.043 (0.049) Loss 2.3373 (2.2198) Prec@1 50.391 (48.921) Prec@5 71.875 (73.967)
Epoch: [65][1330/5005] Time 0.217 (0.212) Data 0.042 (0.049) Loss 2.3555 (2.2199) Prec@1 42.578 (48.926) Prec@5 73.438 (73.970)
Epoch: [65][1340/5005] Time 0.206 (0.212) Data 0.052 (0.049) Loss 2.1586 (2.2198) Prec@1 46.875 (48.927) Prec@5 74.609 (73.976)
Epoch: [65][1350/5005] Time 0.200 (0.212) Data 0.048 (0.049) Loss 2.5500 (2.2200) Prec@1 46.875 (48.918) Prec@5 71.094 (73.977)
Epoch: [65][1360/5005] Time 0.219 (0.212) Data 0.042 (0.049) Loss 2.0845 (2.2196) Prec@1 48.438 (48.929) Prec@5 78.125 (73.980)
Epoch: [65][1370/5005] Time 0.209 (0.212) Data 0.042 (0.049) Loss 2.2198 (2.2193) Prec@1 52.734 (48.932) Prec@5 74.609 (73.992)
Epoch: [65][1380/5005] Time 0.208 (0.212) Data 0.038 (0.049) Loss 2.1977 (2.2189) Prec@1 50.391 (48.940) Prec@5 77.734 (74.006)
Epoch: [65][1390/5005] Time 0.209 (0.212) Data 0.044 (0.049) Loss 2.0649 (2.2188) Prec@1 49.219 (48.942) Prec@5 76.953 (74.003)
Epoch: [65][1400/5005] Time 0.199 (0.212) Data 0.043 (0.049) Loss 2.3084 (2.2182) Prec@1 45.312 (48.949) Prec@5 73.047 (74.011)
Epoch: [65][1410/5005] Time 0.204 (0.212) Data 0.054 (0.049) Loss 2.1601 (2.2179) Prec@1 52.734 (48.957) Prec@5 76.172 (74.021)
Epoch: [65][1420/5005] Time 0.209 (0.212) Data 0.046 (0.049) Loss 2.5355 (2.2181) Prec@1 45.312 (48.951) Prec@5 68.750 (74.017)
Epoch: [65][1430/5005] Time 0.216 (0.212) Data 0.043 (0.049) Loss 1.9237 (2.2177) Prec@1 56.250 (48.961) Prec@5 77.734 (74.021)
Epoch: [65][1440/5005] Time 0.212 (0.212) Data 0.046 (0.049) Loss 1.9098 (2.2172) Prec@1 52.344 (48.962) Prec@5 78.906 (74.034)
Epoch: [65][1450/5005] Time 0.205 (0.212) Data 0.043 (0.049) Loss 2.1621 (2.2169) Prec@1 53.906 (48.973) Prec@5 75.000 (74.033)
Epoch: [65][1460/5005] Time 0.198 (0.212) Data 0.047 (0.049) Loss 2.2337 (2.2167) Prec@1 48.047 (48.987) Prec@5 73.828 (74.038)
Epoch: [65][1470/5005] Time 0.209 (0.212) Data 0.041 (0.049) Loss 2.2585 (2.2170) Prec@1 46.484 (48.982) Prec@5 73.047 (74.033)
Epoch: [65][1480/5005] Time 0.209 (0.212) Data 0.050 (0.049) Loss 2.0084 (2.2169) Prec@1 52.344 (48.981) Prec@5 80.469 (74.035)
Epoch: [65][1490/5005] Time 0.212 (0.212) Data 0.051 (0.049) Loss 2.4080 (2.2165) Prec@1 44.922 (48.994) Prec@5 74.219 (74.044)
Epoch: [65][1500/5005] Time 0.207 (0.212) Data 0.044 (0.049) Loss 2.2023 (2.2163) Prec@1 51.953 (49.007) Prec@5 72.266 (74.053)
Epoch: [65][1510/5005] Time 0.215 (0.212) Data 0.048 (0.049) Loss 2.0842 (2.2161) Prec@1 51.562 (49.016) Prec@5 73.828 (74.056)
Epoch: [65][1520/5005] Time 0.210 (0.212) Data 0.048 (0.049) Loss 2.2642 (2.2159) Prec@1 47.656 (49.019) Prec@5 74.219 (74.062)
Epoch: [65][1530/5005] Time 0.213 (0.212) Data 0.042 (0.048) Loss 2.3585 (2.2161) Prec@1 44.922 (49.020) Prec@5 71.484 (74.057)
Epoch: [65][1540/5005] Time 0.215 (0.212) Data 0.046 (0.048) Loss 2.1147 (2.2161) Prec@1 49.609 (49.023) Prec@5 75.000 (74.057)
Epoch: [65][1550/5005] Time 0.205 (0.212) Data 0.048 (0.048) Loss 2.1294 (2.2157) Prec@1 51.953 (49.028) Prec@5 78.516 (74.065)
Epoch: [65][1560/5005] Time 0.210 (0.212) Data 0.040 (0.048) Loss 1.9537 (2.2158) Prec@1 52.344 (49.029) Prec@5 77.734 (74.065)
Epoch: [65][1570/5005] Time 0.211 (0.212) Data 0.045 (0.048) Loss 2.0827 (2.2154) Prec@1 50.391 (49.042) Prec@5 74.609 (74.075)
Epoch: [65][1580/5005] Time 0.212 (0.212) Data 0.044 (0.048) Loss 2.0738 (2.2155) Prec@1 50.781 (49.036) Prec@5 80.859 (74.078)
Epoch: [65][1590/5005] Time 0.224 (0.212) Data 0.042 (0.048) Loss 2.1567 (2.2154) Prec@1 50.000 (49.032) Prec@5 75.391 (74.075)
Epoch: [65][1600/5005] Time 0.214 (0.212) Data 0.058 (0.048) Loss 2.3110 (2.2154) Prec@1 48.438 (49.034) Prec@5 73.438 (74.073)
Epoch: [65][1610/5005] Time 0.211 (0.212) Data 0.043 (0.048) Loss 2.2207 (2.2154) Prec@1 50.000 (49.030) Prec@5 75.391 (74.076)
Epoch: [65][1620/5005] Time 0.211 (0.212) Data 0.044 (0.048) Loss 2.4088 (2.2154) Prec@1 44.141 (49.020) Prec@5 70.703 (74.073)
Epoch: [65][1630/5005] Time 0.214 (0.212) Data 0.047 (0.048) Loss 2.2605 (2.2156) Prec@1 47.266 (49.021) Prec@5 71.484 (74.067)
Epoch: [65][1640/5005] Time 0.204 (0.212) Data 0.066 (0.048) Loss 2.3726 (2.2158) Prec@1 46.875 (49.020) Prec@5 73.438 (74.066)
Epoch: [65][1650/5005] Time 0.208 (0.212) Data 0.057 (0.048) Loss 2.2721 (2.2156) Prec@1 46.875 (49.026) Prec@5 73.047 (74.068)
Epoch: [65][1660/5005] Time 0.206 (0.212) Data 0.047 (0.048) Loss 2.1990 (2.2153) Prec@1 51.562 (49.040) Prec@5 73.828 (74.073)
Epoch: [65][1670/5005] Time 0.217 (0.212) Data 0.043 (0.048) Loss 1.9756 (2.2153) Prec@1 52.734 (49.038) Prec@5 78.906 (74.074)
Epoch: [65][1680/5005] Time 0.204 (0.212) Data 0.047 (0.048) Loss 2.2805 (2.2153) Prec@1 47.656 (49.043) Prec@5 71.875 (74.073)
Epoch: [65][1690/5005] Time 0.211 (0.212) Data 0.045 (0.048) Loss 2.0215 (2.2150) Prec@1 53.516 (49.045) Prec@5 75.781 (74.081)
Epoch: [65][1700/5005] Time 0.214 (0.212) Data 0.053 (0.048) Loss 2.2504 (2.2146) Prec@1 48.828 (49.055) Prec@5 76.562 (74.091)
Epoch: [65][1710/5005] Time 0.210 (0.212) Data 0.045 (0.048) Loss 2.0828 (2.2141) Prec@1 49.219 (49.059) Prec@5 76.172 (74.102)
Epoch: [65][1720/5005] Time 0.214 (0.212) Data 0.044 (0.048) Loss 2.4866 (2.2141) Prec@1 46.484 (49.061) Prec@5 71.875 (74.103)
Epoch: [65][1730/5005] Time 0.205 (0.212) Data 0.042 (0.048) Loss 2.1988 (2.2140) Prec@1 48.828 (49.067) Prec@5 75.000 (74.105)
Epoch: [65][1740/5005] Time 0.204 (0.212) Data 0.045 (0.048) Loss 2.3396 (2.2138) Prec@1 44.922 (49.071) Prec@5 72.266 (74.106)
Epoch: [65][1750/5005] Time 0.214 (0.212) Data 0.051 (0.048) Loss 2.1097 (2.2135) Prec@1 50.000 (49.077) Prec@5 74.219 (74.110)
Epoch: [65][1760/5005] Time 0.208 (0.212) Data 0.044 (0.048) Loss 1.9131 (2.2133) Prec@1 56.250 (49.087) Prec@5 77.344 (74.113)
Epoch: [65][1770/5005] Time 0.214 (0.212) Data 0.043 (0.048) Loss 2.2694 (2.2132) Prec@1 48.047 (49.092) Prec@5 73.047 (74.119)
Epoch: [65][1780/5005] Time 0.201 (0.212) Data 0.049 (0.048) Loss 2.0363 (2.2129) Prec@1 50.000 (49.094) Prec@5 76.953 (74.127)
Epoch: [65][1790/5005] Time 0.206 (0.212) Data 0.040 (0.048) Loss 2.1331 (2.2124) Prec@1 50.000 (49.101) Prec@5 76.172 (74.134)
Epoch: [65][1800/5005] Time 0.207 (0.212) Data 0.039 (0.048) Loss 2.1928 (2.2122) Prec@1 49.219 (49.111) Prec@5 74.609 (74.141)
Epoch: [65][1810/5005] Time 0.202 (0.211) Data 0.061 (0.048) Loss 2.1802 (2.2122) Prec@1 52.734 (49.108) Prec@5 73.828 (74.141)
Epoch: [65][1820/5005] Time 0.216 (0.211) Data 0.042 (0.048) Loss 2.1864 (2.2122) Prec@1 46.094 (49.106) Prec@5 72.656 (74.142)
Epoch: [65][1830/5005] Time 0.195 (0.211) Data 0.059 (0.048) Loss 2.0640 (2.2118) Prec@1 50.391 (49.110) Prec@5 75.781 (74.145)
Epoch: [65][1840/5005] Time 0.200 (0.211) Data 0.056 (0.049) Loss 2.2907 (2.2117) Prec@1 44.531 (49.115) Prec@5 72.266 (74.141)
Epoch: [65][1850/5005] Time 0.214 (0.211) Data 0.046 (0.049) Loss 2.2209 (2.2114) Prec@1 48.828 (49.124) Prec@5 73.828 (74.145)
Epoch: [65][1860/5005] Time 0.200 (0.211) Data 0.060 (0.049) Loss 2.1853 (2.2114) Prec@1 50.391 (49.119) Prec@5 74.609 (74.143)
Epoch: [65][1870/5005] Time 0.211 (0.211) Data 0.057 (0.049) Loss 2.5289 (2.2116) Prec@1 42.188 (49.115) Prec@5 69.141 (74.143)
Epoch: [65][1880/5005] Time 0.205 (0.211) Data 0.058 (0.049) Loss 2.3310 (2.2119) Prec@1 48.047 (49.112) Prec@5 73.438 (74.139)
Epoch: [65][1890/5005] Time 0.206 (0.211) Data 0.055 (0.049) Loss 2.1279 (2.2118) Prec@1 51.172 (49.114) Prec@5 75.391 (74.141)
Epoch: [65][1900/5005] Time 0.210 (0.211) Data 0.050 (0.049) Loss 2.3029 (2.2121) Prec@1 46.484 (49.105) Prec@5 72.656 (74.137)
Epoch: [65][1910/5005] Time 0.212 (0.211) Data 0.044 (0.049) Loss 2.0197 (2.2118) Prec@1 53.516 (49.108) Prec@5 78.906 (74.140)
Epoch: [65][1920/5005] Time 0.208 (0.211) Data 0.042 (0.049) Loss 2.0967 (2.2115) Prec@1 49.609 (49.109) Prec@5 77.344 (74.145)
Epoch: [65][1930/5005] Time 0.205 (0.211) Data 0.046 (0.049) Loss 2.0553 (2.2112) Prec@1 55.469 (49.115) Prec@5 74.219 (74.150)
Epoch: [65][1940/5005] Time 0.210 (0.211) Data 0.040 (0.049) Loss 2.1588 (2.2109) Prec@1 51.172 (49.120) Prec@5 75.781 (74.158)
Epoch: [65][1950/5005] Time 0.210 (0.211) Data 0.042 (0.049) Loss 2.3034 (2.2107) Prec@1 47.656 (49.126) Prec@5 72.266 (74.161)
Epoch: [65][1960/5005] Time 0.203 (0.211) Data 0.038 (0.049) Loss 2.1390 (2.2105) Prec@1 49.609 (49.130) Prec@5 75.781 (74.163)
Epoch: [65][1970/5005] Time 0.215 (0.211) Data 0.045 (0.049) Loss 2.2506 (2.2109) Prec@1 46.875 (49.125) Prec@5 72.266 (74.159)
Epoch: [65][1980/5005] Time 0.206 (0.211) Data 0.045 (0.049) Loss 2.1052 (2.2109) Prec@1 50.781 (49.126) Prec@5 73.047 (74.155)
Epoch: [65][1990/5005] Time 0.211 (0.211) Data 0.043 (0.049) Loss 1.9797 (2.2104) Prec@1 53.516 (49.132) Prec@5 78.125 (74.163)
Epoch: [65][2000/5005] Time 0.203 (0.211) Data 0.053 (0.049) Loss 2.0552 (2.2106) Prec@1 54.297 (49.135) Prec@5 75.391 (74.157)
Epoch: [65][2010/5005] Time 0.219 (0.211) Data 0.049 (0.049) Loss 1.9868 (2.2105) Prec@1 52.734 (49.135) Prec@5 78.516 (74.158)
Epoch: [65][2020/5005] Time 0.199 (0.211) Data 0.050 (0.049) Loss 2.2148 (2.2103) Prec@1 50.781 (49.137) Prec@5 74.219 (74.161)
Epoch: [65][2030/5005] Time 0.212 (0.211) Data 0.043 (0.049) Loss 2.3128 (2.2106) Prec@1 48.047 (49.134) Prec@5 71.484 (74.157)
Epoch: [65][2040/5005] Time 0.213 (0.211) Data 0.057 (0.049) Loss 1.9486 (2.2104) Prec@1 52.344 (49.137) Prec@5 80.078 (74.163)
Epoch: [65][2050/5005] Time 0.211 (0.211) Data 0.050 (0.049) Loss 2.3499 (2.2102) Prec@1 47.656 (49.140) Prec@5 67.578 (74.161)
Epoch: [65][2060/5005] Time 0.208 (0.211) Data 0.043 (0.049) Loss 2.2319 (2.2102) Prec@1 44.922 (49.134) Prec@5 71.875 (74.161)
Epoch: [65][2070/5005] Time 0.216 (0.211) Data 0.042 (0.049) Loss 2.4520 (2.2105) Prec@1 46.094 (49.124) Prec@5 71.484 (74.157)
Epoch: [65][2080/5005] Time 0.201 (0.211) Data 0.046 (0.049) Loss 2.3016 (2.2105) Prec@1 48.438 (49.116) Prec@5 72.266 (74.159)
Epoch: [65][2090/5005] Time 0.207 (0.211) Data 0.042 (0.049) Loss 2.0446 (2.2102) Prec@1 52.344 (49.118) Prec@5 74.609 (74.163)
Epoch: [65][2100/5005] Time 0.212 (0.211) Data 0.044 (0.048) Loss 2.3130 (2.2100) Prec@1 48.828 (49.119) Prec@5 71.484 (74.167)
Epoch: [65][2110/5005] Time 0.208 (0.211) Data 0.049 (0.048) Loss 2.0441 (2.2100) Prec@1 51.953 (49.120) Prec@5 76.953 (74.168)
Epoch: [65][2120/5005] Time 0.208 (0.211) Data 0.041 (0.048) Loss 2.2005 (2.2099) Prec@1 47.266 (49.122) Prec@5 73.047 (74.170)
Epoch: [65][2130/5005] Time 0.214 (0.211) Data 0.044 (0.048) Loss 2.2603 (2.2097) Prec@1 47.266 (49.128) Prec@5 71.875 (74.175)
Epoch: [65][2140/5005] Time 0.213 (0.211) Data 0.044 (0.048) Loss 2.1924 (2.2098) Prec@1 51.172 (49.129) Prec@5 71.875 (74.173)
Epoch: [65][2150/5005] Time 0.201 (0.211) Data 0.043 (0.048) Loss 1.9892 (2.2097) Prec@1 53.906 (49.127) Prec@5 77.734 (74.177)
Epoch: [65][2160/5005] Time 0.189 (0.211) Data 0.045 (0.048) Loss 2.2017 (2.2096) Prec@1 47.266 (49.131) Prec@5 70.703 (74.177)
Epoch: [65][2170/5005] Time 0.205 (0.211) Data 0.046 (0.048) Loss 1.9611 (2.2093) Prec@1 55.859 (49.143) Prec@5 78.516 (74.185)
Epoch: [65][2180/5005] Time 0.218 (0.211) Data 0.041 (0.048) Loss 2.2411 (2.2092) Prec@1 55.078 (49.144) Prec@5 74.219 (74.192)
Epoch: [65][2190/5005] Time 0.202 (0.211) Data 0.039 (0.048) Loss 2.4750 (2.2092) Prec@1 44.531 (49.146) Prec@5 68.359 (74.193)
Epoch: [65][2200/5005] Time 0.220 (0.211) Data 0.044 (0.048) Loss 2.1521 (2.2093) Prec@1 49.609 (49.138) Prec@5 74.609 (74.197)
Epoch: [65][2210/5005] Time 0.213 (0.211) Data 0.045 (0.048) Loss 2.3153 (2.2096) Prec@1 47.656 (49.134) Prec@5 71.875 (74.192)
Epoch: [65][2220/5005] Time 0.200 (0.211) Data 0.040 (0.048) Loss 2.3785 (2.2093) Prec@1 48.828 (49.132) Prec@5 69.922 (74.194)
Epoch: [65][2230/5005] Time 0.211 (0.211) Data 0.051 (0.048) Loss 2.1574 (2.2094) Prec@1 53.125 (49.135) Prec@5 73.047 (74.190)
Epoch: [65][2240/5005] Time 0.214 (0.211) Data 0.045 (0.048) Loss 2.1096 (2.2093) Prec@1 48.828 (49.135) Prec@5 76.172 (74.192)
Epoch: [65][2250/5005] Time 0.212 (0.211) Data 0.044 (0.048) Loss 2.0307 (2.2094) Prec@1 50.781 (49.129) Prec@5 76.172 (74.188)
Epoch: [65][2260/5005] Time 0.214 (0.211) Data 0.048 (0.048) Loss 2.1251 (2.2091) Prec@1 48.828 (49.136) Prec@5 73.047 (74.196)
Epoch: [65][2270/5005] Time 0.201 (0.211) Data 0.064 (0.048) Loss 2.4228 (2.2090) Prec@1 42.969 (49.142) Prec@5 69.531 (74.200)
Epoch: [65][2280/5005] Time 0.212 (0.211) Data 0.042 (0.048) Loss 2.1795 (2.2090) Prec@1 49.219 (49.146) Prec@5 76.562 (74.205)
Epoch: [65][2290/5005] Time 0.216 (0.211) Data 0.045 (0.048) Loss 2.1269 (2.2089) Prec@1 51.953 (49.144) Prec@5 74.219 (74.204)
Epoch: [65][2300/5005] Time 0.209 (0.211) Data 0.041 (0.048) Loss 2.0877 (2.2088) Prec@1 50.781 (49.147) Prec@5 75.391 (74.207)
Epoch: [65][2310/5005] Time 0.207 (0.211) Data 0.043 (0.048) Loss 2.1186 (2.2088) Prec@1 51.172 (49.149) Prec@5 75.000 (74.205)
Epoch: [65][2320/5005] Time 0.201 (0.211) Data 0.038 (0.048) Loss 2.1850 (2.2088) Prec@1 48.828 (49.149) Prec@5 74.609 (74.206)
Epoch: [65][2330/5005] Time 0.207 (0.211) Data 0.045 (0.048) Loss 2.1578 (2.2086) Prec@1 51.172 (49.153) Prec@5 75.391 (74.211)
Epoch: [65][2340/5005] Time 0.201 (0.211) Data 0.045 (0.048) Loss 2.1963 (2.2083) Prec@1 50.000 (49.157) Prec@5 74.609 (74.218)
Epoch: [65][2350/5005] Time 0.211 (0.211) Data 0.042 (0.048) Loss 2.1396 (2.2081) Prec@1 48.438 (49.159) Prec@5 75.781 (74.222)
Epoch: [65][2360/5005] Time 0.213 (0.211) Data 0.043 (0.048) Loss 2.1982 (2.2081) Prec@1 50.000 (49.158) Prec@5 75.781 (74.221)
Epoch: [65][2370/5005] Time 0.212 (0.211) Data 0.040 (0.048) Loss 2.2450 (2.2081) Prec@1 47.266 (49.158) Prec@5 73.438 (74.221)
Epoch: [65][2380/5005] Time 0.213 (0.211) Data 0.044 (0.048) Loss 2.1847 (2.2080) Prec@1 49.609 (49.163) Prec@5 75.781 (74.225)
Epoch: [65][2390/5005] Time 0.205 (0.211) Data 0.040 (0.048) Loss 2.2824 (2.2079) Prec@1 46.484 (49.164) Prec@5 72.656 (74.222)
Epoch: [65][2400/5005] Time 0.201 (0.211) Data 0.042 (0.048) Loss 2.1351 (2.2078) Prec@1 48.828 (49.163) Prec@5 77.734 (74.224)
Epoch: [65][2410/5005] Time 0.206 (0.211) Data 0.042 (0.048) Loss 2.4149 (2.2079) Prec@1 44.531 (49.163) Prec@5 72.266 (74.224)
Epoch: [65][2420/5005] Time 0.211 (0.211) Data 0.044 (0.048) Loss 2.2414 (2.2076) Prec@1 49.609 (49.169) Prec@5 74.219 (74.231)
Epoch: [65][2430/5005] Time 0.212 (0.211) Data 0.044 (0.048) Loss 2.0566 (2.2078) Prec@1 51.953 (49.164) Prec@5 73.828 (74.224)
Epoch: [65][2440/5005] Time 0.201 (0.211) Data 0.061 (0.048) Loss 2.1025 (2.2077) Prec@1 53.516 (49.168) Prec@5 75.391 (74.223)
Epoch: [65][2450/5005] Time 0.217 (0.211) Data 0.044 (0.048) Loss 2.1014 (2.2075) Prec@1 53.516 (49.173) Prec@5 75.391 (74.223)
Epoch: [65][2460/5005] Time 0.211 (0.211) Data 0.057 (0.048) Loss 2.1803 (2.2074) Prec@1 47.656 (49.175) Prec@5 76.172 (74.226)
Epoch: [65][2470/5005] Time 0.211 (0.211) Data 0.043 (0.048) Loss 2.0550 (2.2071) Prec@1 50.391 (49.180) Prec@5 75.000 (74.230)
Epoch: [65][2480/5005] Time 0.193 (0.211) Data 0.041 (0.048) Loss 2.2966 (2.2073) Prec@1 49.219 (49.178) Prec@5 75.781 (74.227)
Epoch: [65][2490/5005] Time 0.201 (0.211) Data 0.045 (0.048) Loss 1.9501 (2.2073) Prec@1 54.297 (49.177) Prec@5 76.953 (74.228)
Epoch: [65][2500/5005] Time 0.205 (0.211) Data 0.041 (0.048) Loss 2.1744 (2.2070) Prec@1 49.219 (49.182) Prec@5 74.609 (74.234)
Epoch: [65][2510/5005] Time 0.217 (0.211) Data 0.046 (0.048) Loss 2.2957 (2.2071) Prec@1 45.703 (49.182) Prec@5 74.609 (74.234)
Epoch: [65][2520/5005] Time 0.199 (0.211) Data 0.043 (0.048) Loss 2.0540 (2.2071) Prec@1 53.906 (49.181) Prec@5 77.344 (74.236)
Epoch: [65][2530/5005] Time 0.223 (0.211) Data 0.041 (0.048) Loss 2.5191 (2.2071) Prec@1 47.266 (49.181) Prec@5 67.969 (74.234)
Epoch: [65][2540/5005] Time 0.216 (0.211) Data 0.042 (0.048) Loss 2.1438 (2.2072) Prec@1 50.781 (49.180) Prec@5 76.562 (74.232)
Epoch: [65][2550/5005] Time 0.211 (0.211) Data 0.043 (0.048) Loss 2.1233 (2.2072) Prec@1 48.828 (49.185) Prec@5 76.172 (74.238)
Epoch: [65][2560/5005] Time 0.214 (0.211) Data 0.044 (0.048) Loss 2.4083 (2.2072) Prec@1 45.312 (49.185) Prec@5 68.359 (74.232)
Epoch: [65][2570/5005] Time 0.207 (0.211) Data 0.044 (0.048) Loss 2.2213 (2.2073) Prec@1 45.312 (49.181) Prec@5 76.562 (74.229)
Epoch: [65][2580/5005] Time 0.202 (0.211) Data 0.043 (0.048) Loss 2.3259 (2.2078) Prec@1 46.875 (49.172) Prec@5 69.531 (74.220)
Epoch: [65][2590/5005] Time 0.220 (0.211) Data 0.042 (0.048) Loss 2.3042 (2.2077) Prec@1 50.391 (49.176) Prec@5 74.609 (74.222)
Epoch: [65][2600/5005] Time 0.194 (0.211) Data 0.043 (0.048) Loss 2.1237 (2.2078) Prec@1 53.906 (49.178) Prec@5 76.953 (74.220)
Epoch: [65][2610/5005] Time 0.200 (0.210) Data 0.051 (0.048) Loss 2.3768 (2.2077) Prec@1 47.656 (49.182) Prec@5 71.484 (74.223)
Epoch: [65][2620/5005] Time 0.205 (0.210) Data 0.059 (0.048) Loss 2.0893 (2.2076) Prec@1 49.219 (49.185) Prec@5 75.000 (74.227)
Epoch: [65][2630/5005] Time 0.212 (0.210) Data 0.046 (0.048) Loss 2.4638 (2.2080) Prec@1 42.969 (49.180) Prec@5 70.312 (74.223)
Epoch: [65][2640/5005] Time 0.218 (0.210) Data 0.043 (0.048) Loss 2.2773 (2.2080) Prec@1 44.922 (49.179) Prec@5 75.391 (74.226)
Epoch: [65][2650/5005] Time 0.194 (0.210) Data 0.051 (0.048) Loss 2.3721 (2.2081) Prec@1 42.578 (49.178) Prec@5 69.531 (74.223)
Epoch: [65][2660/5005] Time 0.207 (0.210) Data 0.047 (0.048) Loss 2.2273 (2.2080) Prec@1 50.000 (49.181) Prec@5 75.000 (74.224)
Epoch: [65][2670/5005] Time 0.210 (0.210) Data 0.049 (0.048) Loss 1.9511 (2.2077) Prec@1 48.828 (49.184) Prec@5 77.734 (74.229)
Epoch: [65][2680/5005] Time 0.206 (0.210) Data 0.060 (0.048) Loss 2.0516 (2.2076) Prec@1 56.641 (49.183) Prec@5 76.953 (74.233)
Epoch: [65][2690/5005] Time 0.210 (0.210) Data 0.047 (0.048) Loss 2.1297 (2.2075) Prec@1 51.562 (49.187) Prec@5 73.828 (74.231)
Epoch: [65][2700/5005] Time 0.215 (0.210) Data 0.042 (0.048) Loss 2.2060 (2.2076) Prec@1 48.438 (49.182) Prec@5 76.172 (74.231)
Epoch: [65][2710/5005] Time 0.210 (0.210) Data 0.048 (0.048) Loss 2.0563 (2.2077) Prec@1 53.516 (49.181) Prec@5 75.781 (74.229)
Epoch: [65][2720/5005] Time 0.218 (0.210) Data 0.046 (0.048) Loss 2.0834 (2.2075) Prec@1 51.953 (49.178) Prec@5 77.734 (74.234)
Epoch: [65][2730/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.2891 (2.2073) Prec@1 49.609 (49.183) Prec@5 70.312 (74.236)
Epoch: [65][2740/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.1663 (2.2073) Prec@1 51.953 (49.182) Prec@5 75.781 (74.237)
Epoch: [65][2750/5005] Time 0.202 (0.210) Data 0.043 (0.048) Loss 2.3053 (2.2071) Prec@1 44.922 (49.186) Prec@5 74.219 (74.238)
Epoch: [65][2760/5005] Time 0.209 (0.210) Data 0.044 (0.048) Loss 2.2309 (2.2071) Prec@1 50.000 (49.189) Prec@5 73.828 (74.242)
Epoch: [65][2770/5005] Time 0.208 (0.210) Data 0.048 (0.048) Loss 2.1774 (2.2070) Prec@1 51.562 (49.192) Prec@5 73.828 (74.242)
Epoch: [65][2780/5005] Time 0.200 (0.210) Data 0.041 (0.048) Loss 2.4007 (2.2069) Prec@1 43.750 (49.192) Prec@5 72.266 (74.244)
Epoch: [65][2790/5005] Time 0.215 (0.210) Data 0.043 (0.048) Loss 2.4622 (2.2070) Prec@1 44.922 (49.191) Prec@5 69.531 (74.242)
Epoch: [65][2800/5005] Time 0.207 (0.210) Data 0.047 (0.048) Loss 1.9036 (2.2068) Prec@1 57.812 (49.197) Prec@5 79.688 (74.246)
Epoch: [65][2810/5005] Time 0.204 (0.210) Data 0.041 (0.048) Loss 2.3364 (2.2068) Prec@1 45.703 (49.197) Prec@5 71.094 (74.246)
Epoch: [65][2820/5005] Time 0.207 (0.210) Data 0.044 (0.048) Loss 1.7999 (2.2065) Prec@1 56.250 (49.199) Prec@5 80.078 (74.249)
Epoch: [65][2830/5005] Time 0.220 (0.210) Data 0.051 (0.048) Loss 2.2608 (2.2066) Prec@1 50.391 (49.197) Prec@5 71.484 (74.246)
Epoch: [65][2840/5005] Time 0.213 (0.210) Data 0.040 (0.048) Loss 2.1189 (2.2064) Prec@1 49.219 (49.196) Prec@5 76.562 (74.247)
Epoch: [65][2850/5005] Time 0.200 (0.210) Data 0.049 (0.048) Loss 2.2065 (2.2063) Prec@1 53.906 (49.200) Prec@5 72.656 (74.250)
Epoch: [65][2860/5005] Time 0.205 (0.210) Data 0.049 (0.048) Loss 2.2541 (2.2064) Prec@1 46.094 (49.199) Prec@5 70.703 (74.250)
Epoch: [65][2870/5005] Time 0.210 (0.210) Data 0.046 (0.048) Loss 2.1260 (2.2062) Prec@1 55.078 (49.207) Prec@5 76.172 (74.253)
Epoch: [65][2880/5005] Time 0.199 (0.210) Data 0.056 (0.048) Loss 2.1045 (2.2062) Prec@1 50.781 (49.206) Prec@5 75.781 (74.254)
Epoch: [65][2890/5005] Time 0.193 (0.210) Data 0.064 (0.048) Loss 2.1665 (2.2060) Prec@1 48.047 (49.214) Prec@5 76.562 (74.257)
Epoch: [65][2900/5005] Time 0.211 (0.210) Data 0.042 (0.048) Loss 1.9855 (2.2058) Prec@1 52.734 (49.213) Prec@5 77.734 (74.263)
Epoch: [65][2910/5005] Time 0.210 (0.210) Data 0.046 (0.048) Loss 2.1206 (2.2059) Prec@1 49.219 (49.214) Prec@5 75.391 (74.264)
Epoch: [65][2920/5005] Time 0.207 (0.210) Data 0.044 (0.048) Loss 2.1972 (2.2058) Prec@1 51.172 (49.217) Prec@5 71.484 (74.264)
Epoch: [65][2930/5005] Time 0.209 (0.210) Data 0.061 (0.048) Loss 2.3391 (2.2057) Prec@1 44.922 (49.216) Prec@5 73.438 (74.267)
Epoch: [65][2940/5005] Time 0.204 (0.210) Data 0.046 (0.048) Loss 2.3182 (2.2056) Prec@1 45.312 (49.214) Prec@5 71.094 (74.268)
Epoch: [65][2950/5005] Time 0.207 (0.210) Data 0.047 (0.048) Loss 2.2308 (2.2053) Prec@1 48.828 (49.220) Prec@5 76.172 (74.274)
Epoch: [65][2960/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.2241 (2.2052) Prec@1 50.000 (49.227) Prec@5 73.828 (74.276)
Epoch: [65][2970/5005] Time 0.196 (0.210) Data 0.049 (0.048) Loss 2.2388 (2.2050) Prec@1 44.141 (49.230) Prec@5 75.391 (74.278)
Epoch: [65][2980/5005] Time 0.206 (0.210) Data 0.045 (0.048) Loss 2.2817 (2.2050) Prec@1 43.750 (49.229) Prec@5 73.438 (74.278)
Epoch: [65][2990/5005] Time 0.214 (0.210) Data 0.054 (0.048) Loss 2.1955 (2.2050) Prec@1 48.828 (49.231) Prec@5 73.828 (74.280)
Epoch: [65][3000/5005] Time 0.214 (0.210) Data 0.045 (0.048) Loss 2.1801 (2.2049) Prec@1 49.219 (49.232) Prec@5 76.172 (74.282)
Epoch: [65][3010/5005] Time 0.205 (0.210) Data 0.047 (0.048) Loss 2.1592 (2.2050) Prec@1 49.609 (49.231) Prec@5 75.000 (74.282)
Epoch: [65][3020/5005] Time 0.207 (0.210) Data 0.042 (0.048) Loss 2.1090 (2.2051) Prec@1 48.438 (49.230) Prec@5 76.172 (74.280)
Epoch: [65][3030/5005] Time 0.207 (0.210) Data 0.045 (0.048) Loss 2.2174 (2.2051) Prec@1 50.391 (49.232) Prec@5 75.391 (74.280)
Epoch: [65][3040/5005] Time 0.201 (0.210) Data 0.041 (0.048) Loss 2.0593 (2.2049) Prec@1 47.656 (49.236) Prec@5 76.172 (74.281)
Epoch: [65][3050/5005] Time 0.208 (0.210) Data 0.047 (0.048) Loss 2.2179 (2.2049) Prec@1 49.609 (49.234) Prec@5 73.438 (74.282)
Epoch: [65][3060/5005] Time 0.205 (0.210) Data 0.044 (0.048) Loss 2.0919 (2.2047) Prec@1 50.391 (49.237) Prec@5 78.125 (74.286)
Epoch: [65][3070/5005] Time 0.204 (0.210) Data 0.044 (0.048) Loss 2.1277 (2.2048) Prec@1 50.391 (49.238) Prec@5 76.172 (74.283)
Epoch: [65][3080/5005] Time 0.201 (0.210) Data 0.051 (0.048) Loss 2.0653 (2.2048) Prec@1 49.219 (49.234) Prec@5 78.125 (74.283)
Epoch: [65][3090/5005] Time 0.206 (0.210) Data 0.065 (0.048) Loss 2.3996 (2.2047) Prec@1 44.922 (49.239) Prec@5 69.922 (74.285)
Epoch: [65][3100/5005] Time 0.210 (0.210) Data 0.048 (0.048) Loss 2.2088 (2.2047) Prec@1 52.734 (49.239) Prec@5 75.781 (74.283)
Epoch: [65][3110/5005] Time 0.215 (0.210) Data 0.046 (0.048) Loss 1.9944 (2.2044) Prec@1 50.781 (49.244) Prec@5 79.688 (74.287)
Epoch: [65][3120/5005] Time 0.213 (0.210) Data 0.045 (0.048) Loss 2.2793 (2.2044) Prec@1 46.875 (49.243) Prec@5 74.609 (74.290)
Epoch: [65][3130/5005] Time 0.212 (0.210) Data 0.048 (0.048) Loss 2.2980 (2.2042) Prec@1 46.875 (49.248) Prec@5 73.438 (74.292)
Epoch: [65][3140/5005] Time 0.201 (0.210) Data 0.044 (0.048) Loss 2.0305 (2.2041) Prec@1 53.906 (49.250) Prec@5 75.391 (74.292)
Epoch: [65][3150/5005] Time 0.208 (0.210) Data 0.062 (0.048) Loss 2.2849 (2.2040) Prec@1 50.391 (49.253) Prec@5 71.094 (74.292)
Epoch: [65][3160/5005] Time 0.212 (0.210) Data 0.041 (0.048) Loss 1.9219 (2.2038) Prec@1 54.297 (49.257) Prec@5 80.469 (74.295)
Epoch: [65][3170/5005] Time 0.219 (0.210) Data 0.043 (0.048) Loss 2.3126 (2.2039) Prec@1 48.438 (49.255) Prec@5 69.531 (74.292)
Epoch: [65][3180/5005] Time 0.208 (0.210) Data 0.041 (0.048) Loss 2.0949 (2.2040) Prec@1 49.219 (49.251) Prec@5 75.781 (74.290)
Epoch: [65][3190/5005] Time 0.210 (0.210) Data 0.051 (0.048) Loss 2.2108 (2.2040) Prec@1 48.828 (49.248) Prec@5 73.047 (74.291)
Epoch: [65][3200/5005] Time 0.202 (0.210) Data 0.044 (0.048) Loss 2.2518 (2.2040) Prec@1 48.047 (49.250) Prec@5 75.000 (74.293)
Epoch: [65][3210/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.2403 (2.2040) Prec@1 47.656 (49.252) Prec@5 73.047 (74.294)
Epoch: [65][3220/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.2663 (2.2039) Prec@1 51.562 (49.255) Prec@5 73.438 (74.294)
Epoch: [65][3230/5005] Time 0.208 (0.210) Data 0.043 (0.048) Loss 2.0179 (2.2037) Prec@1 52.344 (49.259) Prec@5 76.172 (74.299)
Epoch: [65][3240/5005] Time 0.209 (0.210) Data 0.044 (0.048) Loss 2.3402 (2.2040) Prec@1 40.234 (49.250) Prec@5 72.656 (74.292)
Epoch: [65][3250/5005] Time 0.208 (0.210) Data 0.043 (0.048) Loss 2.1775 (2.2041) Prec@1 50.391 (49.249) Prec@5 75.000 (74.291)
Epoch: [65][3260/5005] Time 0.203 (0.210) Data 0.048 (0.048) Loss 2.0710 (2.2040) Prec@1 50.781 (49.249) Prec@5 78.125 (74.295)
Epoch: [65][3270/5005] Time 0.206 (0.210) Data 0.062 (0.048) Loss 2.2724 (2.2038) Prec@1 48.438 (49.252) Prec@5 73.047 (74.298)
Epoch: [65][3280/5005] Time 0.215 (0.210) Data 0.047 (0.048) Loss 2.0675 (2.2038) Prec@1 52.734 (49.253) Prec@5 76.953 (74.298)
Epoch: [65][3290/5005] Time 0.210 (0.210) Data 0.049 (0.048) Loss 2.2216 (2.2037) Prec@1 48.828 (49.255) Prec@5 72.266 (74.300)
Epoch: [65][3300/5005] Time 0.202 (0.210) Data 0.049 (0.048) Loss 2.1985 (2.2036) Prec@1 47.656 (49.257) Prec@5 76.172 (74.300)
Epoch: [65][3310/5005] Time 0.198 (0.210) Data 0.047 (0.048) Loss 2.0047 (2.2035) Prec@1 53.906 (49.260) Prec@5 74.609 (74.300)
Epoch: [65][3320/5005] Time 0.210 (0.210) Data 0.042 (0.048) Loss 2.2073 (2.2034) Prec@1 48.438 (49.262) Prec@5 72.656 (74.301)
Epoch: [65][3330/5005] Time 0.205 (0.210) Data 0.052 (0.048) Loss 2.2059 (2.2034) Prec@1 45.703 (49.261) Prec@5 72.656 (74.302)
Epoch: [65][3340/5005] Time 0.197 (0.210) Data 0.055 (0.048) Loss 2.2147 (2.2033) Prec@1 48.438 (49.264) Prec@5 76.953 (74.306)
Epoch: [65][3350/5005] Time 0.192 (0.210) Data 0.048 (0.048) Loss 2.0955 (2.2032) Prec@1 48.828 (49.266) Prec@5 76.953 (74.307)
Epoch: [65][3360/5005] Time 0.197 (0.210) Data 0.043 (0.048) Loss 2.0868 (2.2032) Prec@1 50.000 (49.268) Prec@5 76.953 (74.308)
Epoch: [65][3370/5005] Time 0.205 (0.210) Data 0.042 (0.048) Loss 2.2088 (2.2032) Prec@1 48.438 (49.269) Prec@5 75.000 (74.306)
Epoch: [65][3380/5005] Time 0.196 (0.210) Data 0.043 (0.048) Loss 2.1918 (2.2031) Prec@1 51.172 (49.269) Prec@5 76.172 (74.308)
Epoch: [65][3390/5005] Time 0.201 (0.210) Data 0.047 (0.048) Loss 2.2451 (2.2033) Prec@1 51.562 (49.266) Prec@5 72.266 (74.305)
Epoch: [65][3400/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.1472 (2.2033) Prec@1 48.438 (49.267) Prec@5 74.609 (74.304)
Epoch: [65][3410/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.0834 (2.2031) Prec@1 52.344 (49.271) Prec@5 78.906 (74.310)
Epoch: [65][3420/5005] Time 0.207 (0.210) Data 0.043 (0.048) Loss 2.1628 (2.2030) Prec@1 50.000 (49.269) Prec@5 72.656 (74.312)
Epoch: [65][3430/5005] Time 0.210 (0.210) Data 0.042 (0.048) Loss 2.0905 (2.2029) Prec@1 50.391 (49.271) Prec@5 74.219 (74.312)
Epoch: [65][3440/5005] Time 0.202 (0.210) Data 0.039 (0.048) Loss 2.2114 (2.2027) Prec@1 49.219 (49.276) Prec@5 73.438 (74.313)
Epoch: [65][3450/5005] Time 0.210 (0.210) Data 0.047 (0.048) Loss 1.9703 (2.2026) Prec@1 49.609 (49.275) Prec@5 77.734 (74.318)
Epoch: [65][3460/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.0644 (2.2026) Prec@1 49.219 (49.272) Prec@5 76.172 (74.316)
Epoch: [65][3470/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.0500 (2.2025) Prec@1 52.734 (49.277) Prec@5 71.094 (74.316)
Epoch: [65][3480/5005] Time 0.210 (0.210) Data 0.046 (0.048) Loss 2.1534 (2.2022) Prec@1 48.438 (49.280) Prec@5 73.438 (74.322)
Epoch: [65][3490/5005] Time 0.207 (0.210) Data 0.046 (0.048) Loss 2.3554 (2.2022) Prec@1 46.484 (49.279) Prec@5 73.047 (74.321)
Epoch: [65][3500/5005] Time 0.214 (0.210) Data 0.043 (0.048) Loss 2.0233 (2.2022) Prec@1 54.297 (49.277) Prec@5 78.906 (74.323)
Epoch: [65][3510/5005] Time 0.198 (0.210) Data 0.052 (0.048) Loss 2.2760 (2.2022) Prec@1 46.094 (49.276) Prec@5 74.609 (74.323)
Epoch: [65][3520/5005] Time 0.212 (0.210) Data 0.042 (0.048) Loss 2.4025 (2.2022) Prec@1 46.484 (49.274) Prec@5 68.750 (74.323)
Epoch: [65][3530/5005] Time 0.211 (0.210) Data 0.045 (0.048) Loss 2.2316 (2.2020) Prec@1 49.609 (49.281) Prec@5 72.266 (74.325)
Epoch: [65][3540/5005] Time 0.213 (0.210) Data 0.050 (0.048) Loss 2.0097 (2.2016) Prec@1 50.391 (49.288) Prec@5 78.516 (74.331)
Epoch: [65][3550/5005] Time 0.200 (0.210) Data 0.041 (0.048) Loss 2.2954 (2.2015) Prec@1 44.922 (49.290) Prec@5 71.484 (74.332)
Epoch: [65][3560/5005] Time 0.201 (0.210) Data 0.042 (0.048) Loss 2.2288 (2.2014) Prec@1 47.656 (49.293) Prec@5 72.656 (74.334)
Epoch: [65][3570/5005] Time 0.199 (0.210) Data 0.042 (0.048) Loss 2.2477 (2.2013) Prec@1 53.516 (49.297) Prec@5 72.656 (74.336)
Epoch: [65][3580/5005] Time 0.204 (0.210) Data 0.049 (0.048) Loss 2.1034 (2.2012) Prec@1 54.297 (49.297) Prec@5 75.000 (74.337)
Epoch: [65][3590/5005] Time 0.210 (0.210) Data 0.042 (0.048) Loss 2.2726 (2.2010) Prec@1 47.656 (49.302) Prec@5 73.438 (74.342)
Epoch: [65][3600/5005] Time 0.204 (0.210) Data 0.065 (0.048) Loss 2.3620 (2.2007) Prec@1 46.484 (49.308) Prec@5 71.875 (74.347)
Epoch: [65][3610/5005] Time 0.200 (0.210) Data 0.047 (0.048) Loss 2.0451 (2.2006) Prec@1 50.391 (49.308) Prec@5 76.953 (74.350)
Epoch: [65][3620/5005] Time 0.201 (0.210) Data 0.045 (0.048) Loss 2.2523 (2.2004) Prec@1 49.219 (49.316) Prec@5 73.438 (74.356)
Epoch: [65][3630/5005] Time 0.213 (0.210) Data 0.051 (0.048) Loss 2.3295 (2.2002) Prec@1 44.141 (49.317) Prec@5 72.266 (74.358)
Epoch: [65][3640/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.0992 (2.2001) Prec@1 51.562 (49.322) Prec@5 74.609 (74.359)
Epoch: [65][3650/5005] Time 0.210 (0.210) Data 0.051 (0.048) Loss 2.0393 (2.2001) Prec@1 51.953 (49.320) Prec@5 76.562 (74.358)
Epoch: [65][3660/5005] Time 0.204 (0.210) Data 0.044 (0.048) Loss 2.2712 (2.1999) Prec@1 44.531 (49.321) Prec@5 73.047 (74.362)
Epoch: [65][3670/5005] Time 0.213 (0.210) Data 0.044 (0.048) Loss 2.2795 (2.2000) Prec@1 47.266 (49.319) Prec@5 72.266 (74.360)
Epoch: [65][3680/5005] Time 0.212 (0.210) Data 0.042 (0.048) Loss 2.1663 (2.2001) Prec@1 51.562 (49.317) Prec@5 76.953 (74.358)
Epoch: [65][3690/5005] Time 0.209 (0.210) Data 0.044 (0.048) Loss 2.0230 (2.2000) Prec@1 51.953 (49.321) Prec@5 77.734 (74.361)
Epoch: [65][3700/5005] Time 0.204 (0.210) Data 0.044 (0.048) Loss 2.1165 (2.2000) Prec@1 55.859 (49.323) Prec@5 77.734 (74.363)
Epoch: [65][3710/5005] Time 0.212 (0.210) Data 0.046 (0.048) Loss 2.1014 (2.2000) Prec@1 52.734 (49.321) Prec@5 75.781 (74.362)
Epoch: [65][3720/5005] Time 0.203 (0.210) Data 0.044 (0.048) Loss 2.2669 (2.1999) Prec@1 50.000 (49.321) Prec@5 76.172 (74.367)
Epoch: [65][3730/5005] Time 0.215 (0.210) Data 0.042 (0.048) Loss 2.0420 (2.1997) Prec@1 53.125 (49.323) Prec@5 77.734 (74.370)
Epoch: [65][3740/5005] Time 0.225 (0.210) Data 0.047 (0.048) Loss 2.0175 (2.1995) Prec@1 53.516 (49.328) Prec@5 77.734 (74.372)
Epoch: [65][3750/5005] Time 0.208 (0.210) Data 0.044 (0.048) Loss 2.0269 (2.1995) Prec@1 54.297 (49.327) Prec@5 74.609 (74.370)
Epoch: [65][3760/5005] Time 0.215 (0.210) Data 0.041 (0.048) Loss 2.2739 (2.1996) Prec@1 50.391 (49.326) Prec@5 70.703 (74.369)
Epoch: [65][3770/5005] Time 0.201 (0.210) Data 0.045 (0.048) Loss 2.3229 (2.1995) Prec@1 46.484 (49.327) Prec@5 71.094 (74.369)
Epoch: [65][3780/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.2640 (2.1993) Prec@1 46.875 (49.332) Prec@5 72.656 (74.371)
Epoch: [65][3790/5005] Time 0.214 (0.210) Data 0.043 (0.048) Loss 2.3204 (2.1994) Prec@1 50.391 (49.330) Prec@5 73.047 (74.369)
Epoch: [65][3800/5005] Time 0.210 (0.210) Data 0.058 (0.048) Loss 2.1421 (2.1995) Prec@1 49.219 (49.328) Prec@5 74.219 (74.366)
Epoch: [65][3810/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.1319 (2.1995) Prec@1 48.438 (49.325) Prec@5 77.734 (74.366)
Epoch: [65][3820/5005] Time 0.204 (0.210) Data 0.037 (0.048) Loss 1.9308 (2.1993) Prec@1 55.469 (49.329) Prec@5 78.125 (74.370)
Epoch: [65][3830/5005] Time 0.196 (0.210) Data 0.042 (0.048) Loss 2.1788 (2.1990) Prec@1 45.703 (49.333) Prec@5 74.219 (74.373)
Epoch: [65][3840/5005] Time 0.208 (0.210) Data 0.042 (0.048) Loss 2.3118 (2.1991) Prec@1 45.703 (49.330) Prec@5 73.047 (74.370)
Epoch: [65][3850/5005] Time 0.214 (0.210) Data 0.042 (0.048) Loss 2.2354 (2.1990) Prec@1 46.875 (49.333) Prec@5 74.219 (74.373)
Epoch: [65][3860/5005] Time 0.209 (0.210) Data 0.042 (0.048) Loss 1.9548 (2.1989) Prec@1 56.250 (49.339) Prec@5 78.516 (74.371)
Epoch: [65][3870/5005] Time 0.213 (0.210) Data 0.047 (0.048) Loss 2.0878 (2.1989) Prec@1 50.781 (49.338) Prec@5 76.172 (74.371)
Epoch: [65][3880/5005] Time 0.206 (0.210) Data 0.048 (0.048) Loss 2.0060 (2.1989) Prec@1 58.203 (49.340) Prec@5 79.297 (74.370)
Epoch: [65][3890/5005] Time 0.208 (0.210) Data 0.048 (0.048) Loss 2.2623 (2.1988) Prec@1 46.094 (49.343) Prec@5 70.703 (74.369)
Epoch: [65][3900/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.3331 (2.1987) Prec@1 47.656 (49.345) Prec@5 73.047 (74.370)
Epoch: [65][3910/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.4344 (2.1987) Prec@1 46.484 (49.345) Prec@5 69.531 (74.371)
Epoch: [65][3920/5005] Time 0.197 (0.210) Data 0.043 (0.048) Loss 2.1720 (2.1987) Prec@1 49.219 (49.344) Prec@5 75.391 (74.371)
Epoch: [65][3930/5005] Time 0.218 (0.210) Data 0.050 (0.048) Loss 2.1409 (2.1984) Prec@1 51.172 (49.349) Prec@5 74.609 (74.374)
Epoch: [65][3940/5005] Time 0.222 (0.210) Data 0.043 (0.048) Loss 2.1011 (2.1982) Prec@1 51.953 (49.353) Prec@5 73.828 (74.378)
Epoch: [65][3950/5005] Time 0.206 (0.210) Data 0.054 (0.048) Loss 2.0118 (2.1980) Prec@1 52.734 (49.357) Prec@5 77.344 (74.384)
Epoch: [65][3960/5005] Time 0.202 (0.210) Data 0.064 (0.048) Loss 2.1677 (2.1979) Prec@1 48.047 (49.358) Prec@5 74.609 (74.383)
Epoch: [65][3970/5005] Time 0.201 (0.210) Data 0.055 (0.048) Loss 2.1068 (2.1978) Prec@1 53.906 (49.361) Prec@5 75.000 (74.384)
Epoch: [65][3980/5005] Time 0.208 (0.210) Data 0.053 (0.048) Loss 2.0888 (2.1977) Prec@1 49.609 (49.363) Prec@5 73.828 (74.387)
Epoch: [65][3990/5005] Time 0.205 (0.210) Data 0.048 (0.048) Loss 2.2974 (2.1978) Prec@1 42.578 (49.359) Prec@5 74.609 (74.385)
Epoch: [65][4000/5005] Time 0.206 (0.210) Data 0.053 (0.048) Loss 2.0725 (2.1977) Prec@1 49.609 (49.361) Prec@5 77.734 (74.387)
Epoch: [65][4010/5005] Time 0.205 (0.210) Data 0.044 (0.048) Loss 2.0656 (2.1974) Prec@1 49.609 (49.369) Prec@5 75.781 (74.391)
Epoch: [65][4020/5005] Time 0.197 (0.210) Data 0.054 (0.048) Loss 2.4051 (2.1973) Prec@1 47.656 (49.370) Prec@5 71.484 (74.392)
Epoch: [65][4030/5005] Time 0.205 (0.210) Data 0.045 (0.048) Loss 2.4094 (2.1976) Prec@1 46.875 (49.365) Prec@5 71.875 (74.387)
Epoch: [65][4040/5005] Time 0.210 (0.210) Data 0.049 (0.048) Loss 2.2555 (2.1976) Prec@1 46.875 (49.363) Prec@5 71.875 (74.388)
Epoch: [65][4050/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.3211 (2.1976) Prec@1 44.141 (49.365) Prec@5 71.484 (74.387)
Epoch: [65][4060/5005] Time 0.215 (0.210) Data 0.045 (0.048) Loss 2.1044 (2.1975) Prec@1 52.734 (49.365) Prec@5 76.562 (74.391)
Epoch: [65][4070/5005] Time 0.208 (0.210) Data 0.049 (0.048) Loss 2.3684 (2.1976) Prec@1 45.703 (49.364) Prec@5 73.047 (74.392)
Epoch: [65][4080/5005] Time 0.201 (0.210) Data 0.043 (0.048) Loss 2.1312 (2.1975) Prec@1 46.484 (49.364) Prec@5 76.172 (74.393)
Epoch: [65][4090/5005] Time 0.213 (0.210) Data 0.042 (0.048) Loss 2.3333 (2.1974) Prec@1 48.047 (49.367) Prec@5 72.656 (74.394)
Epoch: [65][4100/5005] Time 0.211 (0.210) Data 0.042 (0.048) Loss 2.1370 (2.1973) Prec@1 49.609 (49.366) Prec@5 74.219 (74.394)
Epoch: [65][4110/5005] Time 0.207 (0.210) Data 0.044 (0.048) Loss 2.2142 (2.1971) Prec@1 50.000 (49.368) Prec@5 73.828 (74.397)
Epoch: [65][4120/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.3617 (2.1970) Prec@1 45.312 (49.370) Prec@5 69.922 (74.397)
Epoch: [65][4130/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.4206 (2.1969) Prec@1 43.750 (49.370) Prec@5 69.141 (74.397)
Epoch: [65][4140/5005] Time 0.201 (0.210) Data 0.043 (0.048) Loss 2.1726 (2.1969) Prec@1 50.781 (49.372) Prec@5 74.609 (74.399)
Epoch: [65][4150/5005] Time 0.209 (0.210) Data 0.044 (0.048) Loss 2.3467 (2.1968) Prec@1 46.875 (49.372) Prec@5 72.656 (74.399)
Epoch: [65][4160/5005] Time 0.211 (0.210) Data 0.045 (0.048) Loss 2.1687 (2.1968) Prec@1 48.438 (49.374) Prec@5 75.000 (74.397)
Epoch: [65][4170/5005] Time 0.206 (0.210) Data 0.044 (0.048) Loss 2.1140 (2.1967) Prec@1 48.047 (49.378) Prec@5 78.906 (74.400)
Epoch: [65][4180/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.0410 (2.1966) Prec@1 53.125 (49.381) Prec@5 76.172 (74.401)
Epoch: [65][4190/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.1436 (2.1965) Prec@1 49.609 (49.384) Prec@5 72.266 (74.402)
Epoch: [65][4200/5005] Time 0.195 (0.210) Data 0.045 (0.048) Loss 1.9266 (2.1964) Prec@1 51.953 (49.385) Prec@5 77.734 (74.404)
Epoch: [65][4210/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 1.9770 (2.1963) Prec@1 53.516 (49.389) Prec@5 78.906 (74.406)
Epoch: [65][4220/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.4077 (2.1965) Prec@1 46.875 (49.386) Prec@5 70.703 (74.405)
Epoch: [65][4230/5005] Time 0.214 (0.210) Data 0.044 (0.048) Loss 2.3392 (2.1965) Prec@1 48.047 (49.386) Prec@5 70.312 (74.405)
Epoch: [65][4240/5005] Time 0.201 (0.210) Data 0.046 (0.048) Loss 2.1329 (2.1965) Prec@1 47.266 (49.383) Prec@5 79.297 (74.405)
Epoch: [65][4250/5005] Time 0.208 (0.210) Data 0.049 (0.048) Loss 1.9500 (2.1963) Prec@1 53.516 (49.386) Prec@5 77.734 (74.408)
Epoch: [65][4260/5005] Time 0.207 (0.210) Data 0.050 (0.048) Loss 2.1230 (2.1963) Prec@1 46.094 (49.386) Prec@5 73.438 (74.408)
Epoch: [65][4270/5005] Time 0.205 (0.210) Data 0.047 (0.048) Loss 2.3442 (2.1963) Prec@1 45.312 (49.384) Prec@5 75.781 (74.408)
Epoch: [65][4280/5005] Time 0.203 (0.210) Data 0.045 (0.048) Loss 2.2870 (2.1963) Prec@1 47.656 (49.385) Prec@5 73.047 (74.408)
Epoch: [65][4290/5005] Time 0.208 (0.210) Data 0.042 (0.048) Loss 2.4305 (2.1963) Prec@1 47.656 (49.384) Prec@5 69.141 (74.407)
Epoch: [65][4300/5005] Time 0.208 (0.210) Data 0.043 (0.048) Loss 2.0003 (2.1962) Prec@1 51.562 (49.387) Prec@5 78.906 (74.410)
Epoch: [65][4310/5005] Time 0.204 (0.210) Data 0.056 (0.048) Loss 2.1193 (2.1962) Prec@1 50.391 (49.390) Prec@5 76.172 (74.410)
Epoch: [65][4320/5005] Time 0.208 (0.210) Data 0.052 (0.048) Loss 2.1913 (2.1961) Prec@1 49.609 (49.389) Prec@5 76.172 (74.412)
Epoch: [65][4330/5005] Time 0.200 (0.210) Data 0.053 (0.048) Loss 2.0874 (2.1960) Prec@1 48.828 (49.391) Prec@5 77.344 (74.414)
Epoch: [65][4340/5005] Time 0.196 (0.210) Data 0.051 (0.048) Loss 2.1636 (2.1962) Prec@1 50.781 (49.387) Prec@5 76.953 (74.413)
Epoch: [65][4350/5005] Time 0.219 (0.210) Data 0.045 (0.048) Loss 2.3005 (2.1961) Prec@1 47.656 (49.392) Prec@5 72.656 (74.413)
Epoch: [65][4360/5005] Time 0.203 (0.210) Data 0.043 (0.048) Loss 2.0774 (2.1959) Prec@1 51.172 (49.394) Prec@5 75.781 (74.415)
Epoch: [65][4370/5005] Time 0.205 (0.210) Data 0.041 (0.048) Loss 2.2439 (2.1959) Prec@1 50.000 (49.396) Prec@5 72.656 (74.415)
Epoch: [65][4380/5005] Time 0.208 (0.210) Data 0.043 (0.048) Loss 2.3277 (2.1959) Prec@1 46.875 (49.398) Prec@5 71.484 (74.415)
Epoch: [65][4390/5005] Time 0.212 (0.210) Data 0.042 (0.048) Loss 2.2436 (2.1957) Prec@1 48.828 (49.403) Prec@5 71.094 (74.419)
Epoch: [65][4400/5005] Time 0.203 (0.210) Data 0.042 (0.048) Loss 2.1477 (2.1956) Prec@1 52.344 (49.407) Prec@5 73.828 (74.419)
Epoch: [65][4410/5005] Time 0.199 (0.210) Data 0.053 (0.048) Loss 2.1203 (2.1956) Prec@1 45.312 (49.407) Prec@5 74.609 (74.418)
Epoch: [65][4420/5005] Time 0.204 (0.210) Data 0.043 (0.048) Loss 1.8666 (2.1954) Prec@1 57.031 (49.410) Prec@5 77.734 (74.421)
Epoch: [65][4430/5005] Time 0.208 (0.210) Data 0.065 (0.048) Loss 2.1986 (2.1953) Prec@1 48.828 (49.415) Prec@5 74.219 (74.423)
Epoch: [65][4440/5005] Time 0.210 (0.210) Data 0.045 (0.048) Loss 2.3157 (2.1953) Prec@1 46.484 (49.417) Prec@5 73.828 (74.421)
Epoch: [65][4450/5005] Time 0.207 (0.210) Data 0.048 (0.048) Loss 2.0272 (2.1952) Prec@1 49.609 (49.418) Prec@5 77.734 (74.423)
Epoch: [65][4460/5005] Time 0.216 (0.210) Data 0.046 (0.048) Loss 2.2931 (2.1951) Prec@1 45.703 (49.421) Prec@5 73.828 (74.426)
Epoch: [65][4470/5005] Time 0.212 (0.210) Data 0.041 (0.048) Loss 2.0111 (2.1952) Prec@1 53.906 (49.424) Prec@5 75.391 (74.425)
Epoch: [65][4480/5005] Time 0.220 (0.210) Data 0.042 (0.048) Loss 2.0863 (2.1952) Prec@1 51.562 (49.426) Prec@5 74.219 (74.423)
Epoch: [65][4490/5005] Time 0.211 (0.210) Data 0.045 (0.048) Loss 2.1736 (2.1953) Prec@1 51.953 (49.423) Prec@5 72.656 (74.421)
Epoch: [65][4500/5005] Time 0.204 (0.210) Data 0.043 (0.048) Loss 2.0827 (2.1953) Prec@1 50.781 (49.424) Prec@5 75.000 (74.420)
Epoch: [65][4510/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 1.9619 (2.1953) Prec@1 53.125 (49.423) Prec@5 77.734 (74.419)
Epoch: [65][4520/5005] Time 0.212 (0.210) Data 0.050 (0.048) Loss 2.0317 (2.1951) Prec@1 53.906 (49.426) Prec@5 76.562 (74.424)
Epoch: [65][4530/5005] Time 0.204 (0.210) Data 0.059 (0.048) Loss 2.1096 (2.1950) Prec@1 52.344 (49.428) Prec@5 78.906 (74.424)
Epoch: [65][4540/5005] Time 0.211 (0.210) Data 0.047 (0.048) Loss 2.1980 (2.1951) Prec@1 48.047 (49.427) Prec@5 73.828 (74.424)
Epoch: [65][4550/5005] Time 0.208 (0.210) Data 0.062 (0.048) Loss 2.1408 (2.1950) Prec@1 51.953 (49.429) Prec@5 74.609 (74.427)
Epoch: [65][4560/5005] Time 0.197 (0.209) Data 0.047 (0.048) Loss 2.0339 (2.1948) Prec@1 52.344 (49.433) Prec@5 75.781 (74.430)
Epoch: [65][4570/5005] Time 0.218 (0.209) Data 0.051 (0.048) Loss 2.2913 (2.1946) Prec@1 52.344 (49.438) Prec@5 73.438 (74.429)
Epoch: [65][4580/5005] Time 0.197 (0.209) Data 0.045 (0.048) Loss 2.2866 (2.1946) Prec@1 46.094 (49.440) Prec@5 74.219 (74.431)
Epoch: [65][4590/5005] Time 0.199 (0.209) Data 0.044 (0.048) Loss 1.9487 (2.1946) Prec@1 55.859 (49.442) Prec@5 81.641 (74.431)
Epoch: [65][4600/5005] Time 0.200 (0.209) Data 0.045 (0.048) Loss 1.9431 (2.1946) Prec@1 54.688 (49.443) Prec@5 78.125 (74.430)
Epoch: [65][4610/5005] Time 0.201 (0.209) Data 0.053 (0.048) Loss 1.9428 (2.1945) Prec@1 54.688 (49.449) Prec@5 77.344 (74.430)
Epoch: [65][4620/5005] Time 0.213 (0.209) Data 0.045 (0.048) Loss 2.0245 (2.1944) Prec@1 50.000 (49.450) Prec@5 76.953 (74.432)
Epoch: [65][4630/5005] Time 0.209 (0.209) Data 0.044 (0.048) Loss 1.9803 (2.1941) Prec@1 54.297 (49.455) Prec@5 78.125 (74.436)
Epoch: [65][4640/5005] Time 0.215 (0.209) Data 0.040 (0.048) Loss 2.1357 (2.1941) Prec@1 50.781 (49.457) Prec@5 75.000 (74.437)
Epoch: [65][4650/5005] Time 0.208 (0.209) Data 0.050 (0.048) Loss 2.1852 (2.1940) Prec@1 52.734 (49.461) Prec@5 71.484 (74.439)
Epoch: [65][4660/5005] Time 0.205 (0.209) Data 0.056 (0.048) Loss 2.3299 (2.1939) Prec@1 48.047 (49.464) Prec@5 70.312 (74.440)
Epoch: [65][4670/5005] Time 0.210 (0.209) Data 0.041 (0.048) Loss 2.0593 (2.1937) Prec@1 55.859 (49.468) Prec@5 73.438 (74.443)
Epoch: [65][4680/5005] Time 0.206 (0.209) Data 0.041 (0.048) Loss 2.0440 (2.1936) Prec@1 50.781 (49.471) Prec@5 78.516 (74.446)
Epoch: [65][4690/5005] Time 0.193 (0.209) Data 0.045 (0.048) Loss 2.2338 (2.1936) Prec@1 48.828 (49.470) Prec@5 75.391 (74.448)
Epoch: [65][4700/5005] Time 0.201 (0.209) Data 0.062 (0.048) Loss 1.9960 (2.1937) Prec@1 56.641 (49.469) Prec@5 77.734 (74.449)
Epoch: [65][4710/5005] Time 0.208 (0.209) Data 0.053 (0.048) Loss 1.9778 (2.1935) Prec@1 49.219 (49.469) Prec@5 75.391 (74.452)
Epoch: [65][4720/5005] Time 0.212 (0.209) Data 0.052 (0.048) Loss 1.9822 (2.1934) Prec@1 53.516 (49.472) Prec@5 78.906 (74.453)
Epoch: [65][4730/5005] Time 0.210 (0.209) Data 0.052 (0.048) Loss 2.1802 (2.1934) Prec@1 47.656 (49.468) Prec@5 76.562 (74.453)
Epoch: [65][4740/5005] Time 0.203 (0.209) Data 0.061 (0.048) Loss 2.1190 (2.1933) Prec@1 48.828 (49.469) Prec@5 76.953 (74.456)
Epoch: [65][4750/5005] Time 0.212 (0.209) Data 0.046 (0.048) Loss 2.1148 (2.1932) Prec@1 53.125 (49.474) Prec@5 73.828 (74.457)
Epoch: [65][4760/5005] Time 0.205 (0.209) Data 0.046 (0.048) Loss 2.4022 (2.1931) Prec@1 44.922 (49.475) Prec@5 70.312 (74.458)
Epoch: [65][4770/5005] Time 0.213 (0.209) Data 0.046 (0.048) Loss 1.9781 (2.1930) Prec@1 55.859 (49.480) Prec@5 76.562 (74.459)
Epoch: [65][4780/5005] Time 0.213 (0.209) Data 0.047 (0.048) Loss 2.2763 (2.1930) Prec@1 47.656 (49.483) Prec@5 71.875 (74.457)
Epoch: [65][4790/5005] Time 0.218 (0.209) Data 0.042 (0.048) Loss 2.3551 (2.1931) Prec@1 47.656 (49.484) Prec@5 71.875 (74.456)
Epoch: [65][4800/5005] Time 0.211 (0.209) Data 0.043 (0.048) Loss 2.4091 (2.1930) Prec@1 44.531 (49.486) Prec@5 71.484 (74.457)
Epoch: [65][4810/5005] Time 0.208 (0.209) Data 0.047 (0.048) Loss 2.3331 (2.1928) Prec@1 48.438 (49.487) Prec@5 73.047 (74.458)
Epoch: [65][4820/5005] Time 0.195 (0.209) Data 0.044 (0.048) Loss 2.2880 (2.1927) Prec@1 45.703 (49.490) Prec@5 68.359 (74.460)
Epoch: [65][4830/5005] Time 0.210 (0.209) Data 0.044 (0.048) Loss 2.1420 (2.1925) Prec@1 50.000 (49.494) Prec@5 73.828 (74.464)
Epoch: [65][4840/5005] Time 0.206 (0.209) Data 0.042 (0.048) Loss 2.0770 (2.1925) Prec@1 52.734 (49.492) Prec@5 74.219 (74.463)
Epoch: [65][4850/5005] Time 0.204 (0.209) Data 0.050 (0.048) Loss 2.1790 (2.1926) Prec@1 48.828 (49.493) Prec@5 75.000 (74.461)
Epoch: [65][4860/5005] Time 0.219 (0.209) Data 0.048 (0.048) Loss 2.1517 (2.1925) Prec@1 50.000 (49.492) Prec@5 75.781 (74.461)
Epoch: [65][4870/5005] Time 0.209 (0.209) Data 0.047 (0.048) Loss 1.9452 (2.1925) Prec@1 53.906 (49.495) Prec@5 78.906 (74.461)
Epoch: [65][4880/5005] Time 0.208 (0.209) Data 0.044 (0.048) Loss 2.1250 (2.1924) Prec@1 52.734 (49.498) Prec@5 74.219 (74.462)
Epoch: [65][4890/5005] Time 0.204 (0.209) Data 0.047 (0.048) Loss 2.2066 (2.1923) Prec@1 48.438 (49.500) Prec@5 74.219 (74.464)
Epoch: [65][4900/5005] Time 0.198 (0.209) Data 0.053 (0.048) Loss 2.0916 (2.1922) Prec@1 50.391 (49.501) Prec@5 73.438 (74.465)
Epoch: [65][4910/5005] Time 0.209 (0.209) Data 0.057 (0.048) Loss 2.1511 (2.1921) Prec@1 51.172 (49.503) Prec@5 78.906 (74.467)
Epoch: [65][4920/5005] Time 0.197 (0.209) Data 0.051 (0.048) Loss 1.9932 (2.1920) Prec@1 47.656 (49.503) Prec@5 75.391 (74.468)
Epoch: [65][4930/5005] Time 0.205 (0.209) Data 0.051 (0.048) Loss 2.3391 (2.1920) Prec@1 47.656 (49.504) Prec@5 69.141 (74.468)
Epoch: [65][4940/5005] Time 0.210 (0.209) Data 0.046 (0.048) Loss 2.2040 (2.1921) Prec@1 48.828 (49.503) Prec@5 74.609 (74.467)
Epoch: [65][4950/5005] Time 0.199 (0.209) Data 0.068 (0.048) Loss 2.0251 (2.1921) Prec@1 48.828 (49.502) Prec@5 76.953 (74.465)
Epoch: [65][4960/5005] Time 0.210 (0.209) Data 0.044 (0.048) Loss 2.2744 (2.1920) Prec@1 51.172 (49.505) Prec@5 74.609 (74.467)
Epoch: [65][4970/5005] Time 0.209 (0.209) Data 0.050 (0.048) Loss 2.2717 (2.1919) Prec@1 43.750 (49.505) Prec@5 74.609 (74.468)
Epoch: [65][4980/5005] Time 0.203 (0.209) Data 0.067 (0.048) Loss 2.1178 (2.1918) Prec@1 50.000 (49.509) Prec@5 78.906 (74.473)
Epoch: [65][4990/5005] Time 0.204 (0.209) Data 0.025 (0.048) Loss 2.3204 (2.1917) Prec@1 46.484 (49.510) Prec@5 72.656 (74.475)
Epoch: [65][5000/5005] Time 0.207 (0.209) Data 0.021 (0.048) Loss 2.1969 (2.1916) Prec@1 49.609 (49.513) Prec@5 75.781 (74.477)
Test: [0/196] Time 1.691 (1.691) Loss 2.3559 (2.3559) Prec@1 50.781 (50.781) Prec@5 69.922 (69.922)
Test: [10/196] Time 0.361 (0.306) Loss 2.4753 (2.5231) Prec@1 45.703 (44.283) Prec@5 70.312 (69.744)
Test: [20/196] Time 0.044 (0.224) Loss 2.4235 (2.5348) Prec@1 46.875 (44.048) Prec@5 70.703 (69.643)
Test: [30/196] Time 0.052 (0.225) Loss 2.4397 (2.5457) Prec@1 44.531 (43.750) Prec@5 69.531 (69.153)
Test: [40/196] Time 0.090 (0.204) Loss 2.2725 (2.5405) Prec@1 50.781 (44.093) Prec@5 74.609 (69.093)
Test: [50/196] Time 0.044 (0.198) Loss 2.6516 (2.5450) Prec@1 46.094 (43.995) Prec@5 71.094 (69.102)
Test: [60/196] Time 0.246 (0.193) Loss 2.4059 (2.5269) Prec@1 48.828 (44.320) Prec@5 73.438 (69.320)
Test: [70/196] Time 0.368 (0.195) Loss 2.4599 (2.5209) Prec@1 45.703 (44.377) Prec@5 69.141 (69.339)
Test: [80/196] Time 0.106 (0.187) Loss 2.4133 (2.5261) Prec@1 48.438 (44.314) Prec@5 75.000 (69.300)
Test: [90/196] Time 0.045 (0.186) Loss 2.6528 (2.5311) Prec@1 45.703 (44.308) Prec@5 66.797 (69.226)
Test: [100/196] Time 0.047 (0.189) Loss 2.6149 (2.5285) Prec@1 47.266 (44.500) Prec@5 68.750 (69.295)
Test: [110/196] Time 0.317 (0.186) Loss 2.6918 (2.5296) Prec@1 40.625 (44.507) Prec@5 66.797 (69.320)
Test: [120/196] Time 0.471 (0.187) Loss 2.3384 (2.5251) Prec@1 44.531 (44.538) Prec@5 71.094 (69.383)
Test: [130/196] Time 0.042 (0.184) Loss 2.2059 (2.5215) Prec@1 51.562 (44.654) Prec@5 73.828 (69.466)
Test: [140/196] Time 0.044 (0.183) Loss 2.3405 (2.5223) Prec@1 52.734 (44.653) Prec@5 71.875 (69.401)
Test: [150/196] Time 0.638 (0.184) Loss 2.1802 (2.5207) Prec@1 47.656 (44.666) Prec@5 78.125 (69.454)
Test: [160/196] Time 0.552 (0.183) Loss 2.4622 (2.5200) Prec@1 50.781 (44.725) Prec@5 70.703 (69.480)
Test: [170/196] Time 0.046 (0.181) Loss 2.4417 (2.5219) Prec@1 44.531 (44.730) Prec@5 71.484 (69.460)
Test: [180/196] Time 0.473 (0.183) Loss 2.7120 (2.5263) Prec@1 42.188 (44.641) Prec@5 66.406 (69.387)
Test: [190/196] Time 0.212 (0.181) Loss 2.7288 (2.5300) Prec@1 42.188 (44.586) Prec@5 64.844 (69.280)
* Prec@1 44.548 Prec@5 69.298
Learning rate: 1e-05
Epoch: [66][0/5005] Time 1.059 (1.059) Data 0.943 (0.943) Loss 2.1865 (2.1865) Prec@1 52.344 (52.344) Prec@5 73.047 (73.047)
Epoch: [66][10/5005] Time 0.200 (0.278) Data 0.046 (0.130) Loss 2.1395 (2.2123) Prec@1 52.734 (48.580) Prec@5 74.609 (73.651)
Epoch: [66][20/5005] Time 0.204 (0.242) Data 0.047 (0.092) Loss 2.2338 (2.1931) Prec@1 51.172 (48.568) Prec@5 73.047 (74.609)
Epoch: [66][30/5005] Time 0.189 (0.229) Data 0.040 (0.077) Loss 2.0262 (2.1596) Prec@1 53.906 (49.483) Prec@5 75.000 (74.861)
Epoch: [66][40/5005] Time 0.202 (0.223) Data 0.049 (0.069) Loss 2.1554 (2.1753) Prec@1 49.219 (49.152) Prec@5 75.000 (74.743)
Epoch: [66][50/5005] Time 0.201 (0.219) Data 0.041 (0.065) Loss 2.0549 (2.1745) Prec@1 50.781 (49.364) Prec@5 78.125 (74.701)
Epoch: [66][60/5005] Time 0.203 (0.216) Data 0.054 (0.062) Loss 2.1941 (2.1734) Prec@1 49.219 (49.488) Prec@5 75.781 (74.725)
Epoch: [66][70/5005] Time 0.202 (0.214) Data 0.046 (0.060) Loss 2.2742 (2.1874) Prec@1 45.703 (49.235) Prec@5 73.438 (74.472)
Epoch: [66][80/5005] Time 0.201 (0.213) Data 0.042 (0.058) Loss 1.9341 (2.1822) Prec@1 55.078 (49.388) Prec@5 80.859 (74.566)
Epoch: [66][90/5005] Time 0.197 (0.212) Data 0.041 (0.056) Loss 2.2876 (2.1799) Prec@1 46.484 (49.476) Prec@5 72.656 (74.661)
Epoch: [66][100/5005] Time 0.193 (0.211) Data 0.043 (0.055) Loss 1.9991 (2.1816) Prec@1 53.125 (49.497) Prec@5 79.297 (74.656)
Epoch: [66][110/5005] Time 0.210 (0.210) Data 0.043 (0.054) Loss 2.3060 (2.1839) Prec@1 48.828 (49.623) Prec@5 70.703 (74.599)
Epoch: [66][120/5005] Time 0.202 (0.209) Data 0.046 (0.053) Loss 2.2409 (2.1891) Prec@1 50.000 (49.545) Prec@5 71.875 (74.461)
Epoch: [66][130/5005] Time 0.204 (0.209) Data 0.047 (0.053) Loss 2.4488 (2.1885) Prec@1 48.438 (49.609) Prec@5 70.312 (74.511)
Epoch: [66][140/5005] Time 0.189 (0.208) Data 0.046 (0.053) Loss 2.3207 (2.1896) Prec@1 46.094 (49.573) Prec@5 75.000 (74.485)
Epoch: [66][150/5005] Time 0.209 (0.208) Data 0.043 (0.052) Loss 2.3708 (2.1909) Prec@1 45.703 (49.545) Prec@5 71.094 (74.503)
Epoch: [66][160/5005] Time 0.200 (0.208) Data 0.061 (0.052) Loss 2.1883 (2.1925) Prec@1 50.000 (49.539) Prec@5 72.656 (74.490)
Epoch: [66][170/5005] Time 0.211 (0.208) Data 0.058 (0.052) Loss 2.2235 (2.1928) Prec@1 50.391 (49.491) Prec@5 75.391 (74.495)
Epoch: [66][180/5005] Time 0.208 (0.208) Data 0.041 (0.052) Loss 2.2202 (2.1912) Prec@1 53.906 (49.592) Prec@5 73.047 (74.538)
Epoch: [66][190/5005] Time 0.224 (0.209) Data 0.045 (0.052) Loss 2.2738 (2.1944) Prec@1 46.094 (49.478) Prec@5 76.172 (74.501)
Epoch: [66][200/5005] Time 0.234 (0.209) Data 0.045 (0.051) Loss 2.3370 (2.1955) Prec@1 43.359 (49.425) Prec@5 72.266 (74.487)
Epoch: [66][210/5005] Time 0.218 (0.210) Data 0.047 (0.051) Loss 2.0937 (2.1948) Prec@1 51.953 (49.452) Prec@5 74.219 (74.472)
Epoch: [66][220/5005] Time 0.220 (0.210) Data 0.044 (0.051) Loss 2.2753 (2.1938) Prec@1 50.391 (49.472) Prec@5 73.828 (74.472)
Epoch: [66][230/5005] Time 0.216 (0.211) Data 0.046 (0.051) Loss 2.2762 (2.1947) Prec@1 48.828 (49.457) Prec@5 73.047 (74.481)
Epoch: [66][240/5005] Time 0.219 (0.211) Data 0.043 (0.051) Loss 2.1151 (2.1929) Prec@1 50.781 (49.454) Prec@5 77.734 (74.509)
Epoch: [66][250/5005] Time 0.218 (0.211) Data 0.043 (0.050) Loss 2.3480 (2.1915) Prec@1 44.531 (49.462) Prec@5 72.266 (74.572)
Epoch: [66][260/5005] Time 0.223 (0.212) Data 0.045 (0.050) Loss 2.0039 (2.1916) Prec@1 49.219 (49.469) Prec@5 78.125 (74.582)
Epoch: [66][270/5005] Time 0.216 (0.212) Data 0.042 (0.050) Loss 2.2375 (2.1912) Prec@1 48.438 (49.468) Prec@5 73.047 (74.621)
Epoch: [66][280/5005] Time 0.217 (0.212) Data 0.044 (0.050) Loss 2.5192 (2.1937) Prec@1 47.266 (49.426) Prec@5 67.969 (74.597)
Epoch: [66][290/5005] Time 0.215 (0.212) Data 0.044 (0.050) Loss 1.9778 (2.1953) Prec@1 53.906 (49.383) Prec@5 75.391 (74.542)
Epoch: [66][300/5005] Time 0.216 (0.212) Data 0.044 (0.050) Loss 2.0465 (2.1955) Prec@1 51.562 (49.385) Prec@5 80.859 (74.546)
Epoch: [66][310/5005] Time 0.215 (0.212) Data 0.048 (0.050) Loss 2.1316 (2.1929) Prec@1 48.828 (49.429) Prec@5 76.953 (74.598)
Epoch: [66][320/5005] Time 0.212 (0.212) Data 0.047 (0.050) Loss 2.4108 (2.1946) Prec@1 47.266 (49.435) Prec@5 70.703 (74.562)
Epoch: [66][330/5005] Time 0.210 (0.212) Data 0.044 (0.050) Loss 1.9748 (2.1929) Prec@1 51.953 (49.449) Prec@5 78.906 (74.583)
Epoch: [66][340/5005] Time 0.221 (0.213) Data 0.044 (0.050) Loss 2.3234 (2.1963) Prec@1 48.438 (49.413) Prec@5 73.047 (74.518)
Epoch: [66][350/5005] Time 0.206 (0.213) Data 0.046 (0.050) Loss 2.3427 (2.1956) Prec@1 47.656 (49.454) Prec@5 71.484 (74.521)
Epoch: [66][360/5005] Time 0.216 (0.213) Data 0.043 (0.049) Loss 2.3328 (2.1961) Prec@1 46.875 (49.430) Prec@5 71.094 (74.496)
Epoch: [66][370/5005] Time 0.212 (0.213) Data 0.047 (0.049) Loss 2.1693 (2.1938) Prec@1 48.828 (49.455) Prec@5 74.219 (74.521)
Epoch: [66][380/5005] Time 0.215 (0.213) Data 0.047 (0.049) Loss 2.3724 (2.1946) Prec@1 50.000 (49.437) Prec@5 69.922 (74.505)
Epoch: [66][390/5005] Time 0.216 (0.213) Data 0.046 (0.050) Loss 2.1748 (2.1951) Prec@1 53.125 (49.441) Prec@5 74.609 (74.503)
Epoch: [66][400/5005] Time 0.208 (0.213) Data 0.050 (0.050) Loss 2.0695 (2.1936) Prec@1 50.391 (49.476) Prec@5 77.344 (74.521)
Epoch: [66][410/5005] Time 0.212 (0.213) Data 0.046 (0.050) Loss 2.0583 (2.1939) Prec@1 52.344 (49.459) Prec@5 78.906 (74.518)
Epoch: [66][420/5005] Time 0.208 (0.213) Data 0.046 (0.050) Loss 2.2103 (2.1937) Prec@1 52.344 (49.483) Prec@5 72.266 (74.521)
Epoch: [66][430/5005] Time 0.210 (0.213) Data 0.046 (0.050) Loss 2.0949 (2.1933) Prec@1 49.609 (49.472) Prec@5 76.953 (74.537)
Epoch: [66][440/5005] Time 0.203 (0.213) Data 0.046 (0.050) Loss 2.1302 (2.1937) Prec@1 53.125 (49.436) Prec@5 71.875 (74.527)
Epoch: [66][450/5005] Time 0.209 (0.213) Data 0.049 (0.050) Loss 2.0992 (2.1941) Prec@1 50.391 (49.418) Prec@5 77.344 (74.525)
Epoch: [66][460/5005] Time 0.211 (0.213) Data 0.050 (0.050) Loss 2.2226 (2.1944) Prec@1 46.094 (49.427) Prec@5 73.438 (74.530)
Epoch: [66][470/5005] Time 0.206 (0.213) Data 0.058 (0.050) Loss 2.1420 (2.1952) Prec@1 48.828 (49.407) Prec@5 73.438 (74.488)
Epoch: [66][480/5005] Time 0.216 (0.213) Data 0.042 (0.050) Loss 2.0862 (2.1950) Prec@1 49.609 (49.406) Prec@5 74.219 (74.481)
Epoch: [66][490/5005] Time 0.212 (0.213) Data 0.042 (0.050) Loss 2.1194 (2.1950) Prec@1 55.078 (49.396) Prec@5 75.000 (74.480)
Epoch: [66][500/5005] Time 0.216 (0.213) Data 0.042 (0.050) Loss 2.3904 (2.1967) Prec@1 47.656 (49.385) Prec@5 71.875 (74.447)
Epoch: [66][510/5005] Time 0.214 (0.213) Data 0.043 (0.049) Loss 2.3934 (2.1969) Prec@1 43.750 (49.371) Prec@5 70.312 (74.439)
Epoch: [66][520/5005] Time 0.219 (0.213) Data 0.041 (0.049) Loss 2.2519 (2.1962) Prec@1 47.266 (49.399) Prec@5 74.219 (74.461)
Epoch: [66][530/5005] Time 0.213 (0.213) Data 0.043 (0.049) Loss 2.0685 (2.1962) Prec@1 56.641 (49.401) Prec@5 75.781 (74.459)
Epoch: [66][540/5005] Time 0.218 (0.213) Data 0.041 (0.049) Loss 2.3586 (2.1968) Prec@1 46.484 (49.385) Prec@5 71.875 (74.464)
Epoch: [66][550/5005] Time 0.210 (0.213) Data 0.046 (0.049) Loss 2.2070 (2.1964) Prec@1 47.266 (49.390) Prec@5 76.172 (74.475)
Epoch: [66][560/5005] Time 0.214 (0.213) Data 0.048 (0.049) Loss 2.2863 (2.1964) Prec@1 49.219 (49.401) Prec@5 71.875 (74.480)
Epoch: [66][570/5005] Time 0.210 (0.213) Data 0.042 (0.049) Loss 2.1472 (2.1971) Prec@1 50.391 (49.390) Prec@5 76.562 (74.475)
Epoch: [66][580/5005] Time 0.218 (0.213) Data 0.044 (0.049) Loss 2.2929 (2.1960) Prec@1 48.047 (49.418) Prec@5 71.484 (74.484)
Epoch: [66][590/5005] Time 0.216 (0.213) Data 0.042 (0.049) Loss 2.3491 (2.1970) Prec@1 50.781 (49.406) Prec@5 71.875 (74.461)
Epoch: [66][600/5005] Time 0.212 (0.213) Data 0.043 (0.049) Loss 2.0804 (2.1976) Prec@1 51.562 (49.407) Prec@5 77.344 (74.470)
Epoch: [66][610/5005] Time 0.215 (0.213) Data 0.043 (0.049) Loss 2.0429 (2.1974) Prec@1 53.125 (49.398) Prec@5 74.609 (74.474)
Epoch: [66][620/5005] Time 0.218 (0.213) Data 0.045 (0.049) Loss 2.2581 (2.1978) Prec@1 50.781 (49.407) Prec@5 73.828 (74.473)
Epoch: [66][630/5005] Time 0.213 (0.213) Data 0.045 (0.048) Loss 2.4362 (2.1972) Prec@1 47.656 (49.419) Prec@5 69.141 (74.482)
Epoch: [66][640/5005] Time 0.207 (0.213) Data 0.057 (0.048) Loss 2.1361 (2.1970) Prec@1 46.484 (49.419) Prec@5 76.172 (74.478)
Epoch: [66][650/5005] Time 0.213 (0.213) Data 0.058 (0.049) Loss 2.1758 (2.1978) Prec@1 47.266 (49.399) Prec@5 74.609 (74.476)
Epoch: [66][660/5005] Time 0.209 (0.213) Data 0.044 (0.049) Loss 2.4085 (2.1968) Prec@1 44.922 (49.406) Prec@5 71.484 (74.498)
Epoch: [66][670/5005] Time 0.216 (0.213) Data 0.045 (0.049) Loss 2.3747 (2.1968) Prec@1 44.922 (49.394) Prec@5 73.438 (74.501)
Epoch: [66][680/5005] Time 0.218 (0.213) Data 0.043 (0.048) Loss 2.1506 (2.1963) Prec@1 49.609 (49.397) Prec@5 75.781 (74.514)
Epoch: [66][690/5005] Time 0.218 (0.213) Data 0.042 (0.048) Loss 2.1426 (2.1960) Prec@1 52.344 (49.406) Prec@5 78.125 (74.519)
Epoch: [66][700/5005] Time 0.206 (0.213) Data 0.048 (0.048) Loss 2.2694 (2.1956) Prec@1 48.047 (49.393) Prec@5 73.828 (74.525)
Epoch: [66][710/5005] Time 0.218 (0.213) Data 0.042 (0.048) Loss 1.8995 (2.1945) Prec@1 53.516 (49.425) Prec@5 79.297 (74.542)
Epoch: [66][720/5005] Time 0.210 (0.213) Data 0.048 (0.048) Loss 2.0706 (2.1934) Prec@1 48.047 (49.450) Prec@5 80.078 (74.565)
Epoch: [66][730/5005] Time 0.216 (0.213) Data 0.044 (0.048) Loss 2.2970 (2.1933) Prec@1 50.000 (49.464) Prec@5 72.266 (74.563)
Epoch: [66][740/5005] Time 0.215 (0.213) Data 0.043 (0.048) Loss 2.3344 (2.1932) Prec@1 45.312 (49.475) Prec@5 72.656 (74.551)
Epoch: [66][750/5005] Time 0.205 (0.213) Data 0.048 (0.048) Loss 2.0303 (2.1931) Prec@1 50.781 (49.466) Prec@5 75.781 (74.551)
Epoch: [66][760/5005] Time 0.214 (0.213) Data 0.042 (0.048) Loss 2.3569 (2.1932) Prec@1 43.750 (49.462) Prec@5 71.875 (74.542)
Epoch: [66][770/5005] Time 0.218 (0.213) Data 0.047 (0.048) Loss 2.1799 (2.1920) Prec@1 50.781 (49.485) Prec@5 73.047 (74.560)
Epoch: [66][780/5005] Time 0.211 (0.213) Data 0.044 (0.048) Loss 2.2081 (2.1923) Prec@1 48.438 (49.473) Prec@5 75.781 (74.552)
Epoch: [66][790/5005] Time 0.217 (0.213) Data 0.044 (0.048) Loss 2.1148 (2.1919) Prec@1 49.609 (49.472) Prec@5 75.391 (74.567)
Epoch: [66][800/5005] Time 0.214 (0.213) Data 0.042 (0.048) Loss 2.0412 (2.1910) Prec@1 53.906 (49.492) Prec@5 78.516 (74.577)
Epoch: [66][810/5005] Time 0.212 (0.213) Data 0.043 (0.048) Loss 2.3922 (2.1913) Prec@1 44.141 (49.499) Prec@5 73.047 (74.572)
Epoch: [66][820/5005] Time 0.214 (0.213) Data 0.043 (0.048) Loss 2.3439 (2.1915) Prec@1 47.266 (49.496) Prec@5 73.438 (74.573)
Epoch: [66][830/5005] Time 0.213 (0.213) Data 0.045 (0.048) Loss 2.1597 (2.1915) Prec@1 52.344 (49.508) Prec@5 76.172 (74.569)
Epoch: [66][840/5005] Time 0.198 (0.213) Data 0.044 (0.048) Loss 2.2206 (2.1917) Prec@1 51.562 (49.509) Prec@5 70.312 (74.561)
Epoch: [66][850/5005] Time 0.212 (0.213) Data 0.045 (0.048) Loss 2.2678 (2.1908) Prec@1 48.047 (49.521) Prec@5 76.562 (74.573)
Epoch: [66][860/5005] Time 0.204 (0.213) Data 0.044 (0.048) Loss 2.1508 (2.1907) Prec@1 48.828 (49.529) Prec@5 73.438 (74.569)
Epoch: [66][870/5005] Time 0.213 (0.213) Data 0.046 (0.048) Loss 2.1485 (2.1900) Prec@1 47.266 (49.546) Prec@5 73.828 (74.577)
Epoch: [66][880/5005] Time 0.216 (0.213) Data 0.043 (0.048) Loss 2.1471 (2.1905) Prec@1 47.656 (49.537) Prec@5 77.344 (74.581)
Epoch: [66][890/5005] Time 0.215 (0.213) Data 0.044 (0.048) Loss 2.4121 (2.1901) Prec@1 42.969 (49.540) Prec@5 70.312 (74.577)
Epoch: [66][900/5005] Time 0.217 (0.213) Data 0.047 (0.048) Loss 2.0683 (2.1896) Prec@1 50.391 (49.547) Prec@5 78.906 (74.597)
Epoch: [66][910/5005] Time 0.206 (0.213) Data 0.051 (0.048) Loss 2.0667 (2.1895) Prec@1 52.734 (49.544) Prec@5 76.172 (74.594)
Epoch: [66][920/5005] Time 0.217 (0.213) Data 0.043 (0.048) Loss 2.1664 (2.1893) Prec@1 51.172 (49.564) Prec@5 75.781 (74.595)
Epoch: [66][930/5005] Time 0.214 (0.213) Data 0.041 (0.048) Loss 2.2545 (2.1889) Prec@1 52.734 (49.579) Prec@5 72.656 (74.599)
Epoch: [66][940/5005] Time 0.210 (0.213) Data 0.043 (0.048) Loss 1.9914 (2.1888) Prec@1 52.734 (49.570) Prec@5 74.609 (74.601)
Epoch: [66][950/5005] Time 0.217 (0.213) Data 0.043 (0.048) Loss 2.2491 (2.1894) Prec@1 48.438 (49.569) Prec@5 72.266 (74.583)
Epoch: [66][960/5005] Time 0.202 (0.213) Data 0.055 (0.048) Loss 2.3620 (2.1896) Prec@1 46.094 (49.572) Prec@5 71.484 (74.576)
Epoch: [66][970/5005] Time 0.212 (0.213) Data 0.043 (0.048) Loss 2.0548 (2.1889) Prec@1 51.172 (49.576) Prec@5 76.953 (74.586)
Epoch: [66][980/5005] Time 0.210 (0.213) Data 0.048 (0.048) Loss 2.1326 (2.1884) Prec@1 50.391 (49.578) Prec@5 71.875 (74.589)
Epoch: [66][990/5005] Time 0.208 (0.213) Data 0.044 (0.048) Loss 2.2171 (2.1888) Prec@1 48.438 (49.567) Prec@5 75.391 (74.581)
Epoch: [66][1000/5005] Time 0.210 (0.213) Data 0.047 (0.048) Loss 2.2134 (2.1886) Prec@1 54.688 (49.577) Prec@5 74.219 (74.583)
Epoch: [66][1010/5005] Time 0.202 (0.213) Data 0.047 (0.048) Loss 2.0664 (2.1879) Prec@1 53.906 (49.587) Prec@5 78.125 (74.593)
Epoch: [66][1020/5005] Time 0.212 (0.213) Data 0.047 (0.048) Loss 2.0335 (2.1881) Prec@1 55.078 (49.588) Prec@5 75.000 (74.573)
Epoch: [66][1030/5005] Time 0.212 (0.213) Data 0.062 (0.048) Loss 2.0641 (2.1878) Prec@1 51.172 (49.587) Prec@5 76.172 (74.583)
Epoch: [66][1040/5005] Time 0.192 (0.214) Data 0.044 (0.048) Loss 2.3758 (2.1881) Prec@1 46.094 (49.592) Prec@5 70.312 (74.576)
Epoch: [66][1050/5005] Time 0.214 (0.214) Data 0.046 (0.048) Loss 2.3257 (2.1884) Prec@1 46.484 (49.579) Prec@5 72.656 (74.579)
Epoch: [66][1060/5005] Time 0.206 (0.214) Data 0.044 (0.048) Loss 2.2831 (2.1887) Prec@1 47.266 (49.577) Prec@5 73.828 (74.569)
Epoch: [66][1070/5005] Time 0.206 (0.214) Data 0.044 (0.048) Loss 2.2556 (2.1889) Prec@1 47.266 (49.581) Prec@5 74.219 (74.556)
Epoch: [66][1080/5005] Time 0.212 (0.214) Data 0.044 (0.048) Loss 2.2190 (2.1894) Prec@1 48.828 (49.569) Prec@5 75.000 (74.550)
Epoch: [66][1090/5005] Time 0.211 (0.214) Data 0.043 (0.048) Loss 2.1181 (2.1889) Prec@1 49.609 (49.578) Prec@5 72.656 (74.555)
Epoch: [66][1100/5005] Time 0.218 (0.214) Data 0.040 (0.048) Loss 2.1469 (2.1883) Prec@1 52.734 (49.597) Prec@5 74.609 (74.563)
Epoch: [66][1110/5005] Time 0.210 (0.214) Data 0.057 (0.048) Loss 2.0713 (2.1884) Prec@1 48.828 (49.591) Prec@5 78.125 (74.562)
Epoch: [66][1120/5005] Time 0.205 (0.214) Data 0.042 (0.048) Loss 1.9661 (2.1875) Prec@1 54.297 (49.602) Prec@5 75.000 (74.576)
Epoch: [66][1130/5005] Time 0.216 (0.214) Data 0.041 (0.048) Loss 2.2487 (2.1876) Prec@1 48.828 (49.594) Prec@5 74.219 (74.569)
Epoch: [66][1140/5005] Time 0.214 (0.214) Data 0.043 (0.047) Loss 2.2296 (2.1873) Prec@1 50.000 (49.604) Prec@5 73.438 (74.580)
Epoch: [66][1150/5005] Time 0.208 (0.214) Data 0.042 (0.047) Loss 2.2777 (2.1870) Prec@1 47.656 (49.619) Prec@5 74.609 (74.579)
Epoch: [66][1160/5005] Time 0.203 (0.214) Data 0.044 (0.047) Loss 2.2561 (2.1868) Prec@1 46.094 (49.622) Prec@5 73.828 (74.580)
Epoch: [66][1170/5005] Time 0.203 (0.214) Data 0.043 (0.047) Loss 2.1200 (2.1868) Prec@1 48.047 (49.626) Prec@5 76.953 (74.581)
Epoch: [66][1180/5005] Time 0.208 (0.214) Data 0.046 (0.047) Loss 2.2175 (2.1866) Prec@1 51.562 (49.629) Prec@5 72.656 (74.581)
Epoch: [66][1190/5005] Time 0.208 (0.214) Data 0.043 (0.047) Loss 1.9760 (2.1860) Prec@1 53.125 (49.648) Prec@5 79.297 (74.599)
Epoch: [66][1200/5005] Time 0.211 (0.214) Data 0.043 (0.047) Loss 2.2487 (2.1860) Prec@1 49.219 (49.649) Prec@5 72.656 (74.599)
Epoch: [66][1210/5005] Time 0.211 (0.214) Data 0.042 (0.047) Loss 2.1610 (2.1863) Prec@1 52.734 (49.655) Prec@5 75.391 (74.596)
Epoch: [66][1220/5005] Time 0.218 (0.214) Data 0.044 (0.047) Loss 2.1914 (2.1864) Prec@1 48.438 (49.648) Prec@5 74.219 (74.598)
Epoch: [66][1230/5005] Time 0.206 (0.214) Data 0.043 (0.047) Loss 2.1347 (2.1861) Prec@1 52.734 (49.652) Prec@5 75.781 (74.606)
Epoch: [66][1240/5005] Time 0.215 (0.214) Data 0.043 (0.047) Loss 2.2332 (2.1861) Prec@1 50.000 (49.649) Prec@5 74.219 (74.602)
Epoch: [66][1250/5005] Time 0.219 (0.214) Data 0.044 (0.047) Loss 2.3985 (2.1863) Prec@1 46.484 (49.645) Prec@5 69.922 (74.594)
Epoch: [66][1260/5005] Time 0.213 (0.214) Data 0.045 (0.047) Loss 2.0521 (2.1859) Prec@1 52.734 (49.653) Prec@5 76.562 (74.599)
Epoch: [66][1270/5005] Time 0.212 (0.214) Data 0.045 (0.047) Loss 2.2427 (2.1862) Prec@1 50.000 (49.657) Prec@5 72.656 (74.586)
Epoch: [66][1280/5005] Time 0.196 (0.214) Data 0.045 (0.047) Loss 2.1583 (2.1864) Prec@1 49.219 (49.648) Prec@5 74.219 (74.588)
Epoch: [66][1290/5005] Time 0.216 (0.214) Data 0.048 (0.047) Loss 1.9077 (2.1859) Prec@1 58.594 (49.653) Prec@5 78.906 (74.595)
Epoch: [66][1300/5005] Time 0.206 (0.213) Data 0.047 (0.047) Loss 2.0689 (2.1858) Prec@1 51.562 (49.652) Prec@5 79.688 (74.605)
Epoch: [66][1310/5005] Time 0.211 (0.213) Data 0.044 (0.047) Loss 2.3422 (2.1859) Prec@1 47.266 (49.648) Prec@5 72.656 (74.599)
Epoch: [66][1320/5005] Time 0.204 (0.213) Data 0.048 (0.047) Loss 2.3215 (2.1858) Prec@1 48.828 (49.654) Prec@5 72.656 (74.598)
Epoch: [66][1330/5005] Time 0.201 (0.213) Data 0.048 (0.047) Loss 2.3499 (2.1862) Prec@1 46.875 (49.649) Prec@5 69.141 (74.583)
Epoch: [66][1340/5005] Time 0.212 (0.213) Data 0.049 (0.047) Loss 2.1417 (2.1859) Prec@1 51.172 (49.660) Prec@5 77.344 (74.590)
Epoch: [66][1350/5005] Time 0.212 (0.213) Data 0.047 (0.047) Loss 2.4800 (2.1859) Prec@1 46.875 (49.651) Prec@5 73.047 (74.593)
Epoch: [66][1360/5005] Time 0.203 (0.213) Data 0.069 (0.047) Loss 2.1434 (2.1855) Prec@1 52.344 (49.666) Prec@5 73.828 (74.595)
Epoch: [66][1370/5005] Time 0.208 (0.213) Data 0.041 (0.047) Loss 2.0848 (2.1847) Prec@1 56.641 (49.679) Prec@5 75.000 (74.605)
Epoch: [66][1380/5005] Time 0.208 (0.213) Data 0.054 (0.047) Loss 2.1789 (2.1845) Prec@1 50.781 (49.682) Prec@5 75.391 (74.613)
Epoch: [66][1390/5005] Time 0.207 (0.213) Data 0.042 (0.047) Loss 2.0071 (2.1846) Prec@1 50.391 (49.674) Prec@5 77.734 (74.609)
Epoch: [66][1400/5005] Time 0.210 (0.213) Data 0.043 (0.047) Loss 2.1738 (2.1838) Prec@1 52.734 (49.689) Prec@5 74.609 (74.620)
Epoch: [66][1410/5005] Time 0.213 (0.213) Data 0.043 (0.047) Loss 2.1677 (2.1836) Prec@1 48.828 (49.695) Prec@5 76.172 (74.625)
Epoch: [66][1420/5005] Time 0.215 (0.213) Data 0.043 (0.047) Loss 2.3579 (2.1836) Prec@1 48.047 (49.692) Prec@5 70.312 (74.632)
Epoch: [66][1430/5005] Time 0.208 (0.213) Data 0.041 (0.047) Loss 1.8834 (2.1833) Prec@1 51.953 (49.701) Prec@5 81.250 (74.643)
Epoch: [66][1440/5005] Time 0.211 (0.213) Data 0.044 (0.047) Loss 1.8855 (2.1830) Prec@1 54.297 (49.700) Prec@5 79.688 (74.645)
Epoch: [66][1450/5005] Time 0.211 (0.213) Data 0.043 (0.047) Loss 2.1716 (2.1829) Prec@1 50.391 (49.705) Prec@5 76.953 (74.649)
Epoch: [66][1460/5005] Time 0.220 (0.213) Data 0.042 (0.047) Loss 2.1876 (2.1830) Prec@1 43.359 (49.704) Prec@5 75.000 (74.648)
Epoch: [66][1470/5005] Time 0.210 (0.213) Data 0.042 (0.047) Loss 2.2619 (2.1831) Prec@1 48.438 (49.706) Prec@5 71.484 (74.641)
Epoch: [66][1480/5005] Time 0.212 (0.213) Data 0.048 (0.047) Loss 2.0127 (2.1833) Prec@1 53.906 (49.711) Prec@5 79.297 (74.642)
Epoch: [66][1490/5005] Time 0.210 (0.213) Data 0.046 (0.047) Loss 2.3356 (2.1832) Prec@1 44.922 (49.710) Prec@5 70.312 (74.646)
Epoch: [66][1500/5005] Time 0.209 (0.213) Data 0.047 (0.047) Loss 2.1453 (2.1828) Prec@1 52.734 (49.718) Prec@5 76.953 (74.656)
Epoch: [66][1510/5005] Time 0.212 (0.213) Data 0.044 (0.047) Loss 2.0647 (2.1826) Prec@1 50.000 (49.720) Prec@5 73.438 (74.657)
Epoch: [66][1520/5005] Time 0.206 (0.213) Data 0.044 (0.047) Loss 2.2680 (2.1822) Prec@1 47.656 (49.723) Prec@5 76.562 (74.663)
Epoch: [66][1530/5005] Time 0.211 (0.213) Data 0.046 (0.047) Loss 2.3268 (2.1822) Prec@1 47.266 (49.728) Prec@5 71.875 (74.664)
Epoch: [66][1540/5005] Time 0.211 (0.213) Data 0.043 (0.047) Loss 2.2644 (2.1825) Prec@1 48.047 (49.720) Prec@5 73.047 (74.656)
Epoch: [66][1550/5005] Time 0.207 (0.213) Data 0.044 (0.047) Loss 2.1163 (2.1821) Prec@1 50.781 (49.723) Prec@5 75.391 (74.666)
Epoch: [66][1560/5005] Time 0.214 (0.213) Data 0.047 (0.047) Loss 2.0134 (2.1821) Prec@1 53.125 (49.731) Prec@5 76.172 (74.670)
Epoch: [66][1570/5005] Time 0.213 (0.213) Data 0.042 (0.047) Loss 2.1559 (2.1819) Prec@1 47.656 (49.739) Prec@5 78.516 (74.678)
Epoch: [66][1580/5005] Time 0.207 (0.213) Data 0.044 (0.047) Loss 2.0015 (2.1819) Prec@1 52.734 (49.731) Prec@5 76.953 (74.679)
Epoch: [66][1590/5005] Time 0.213 (0.213) Data 0.041 (0.047) Loss 2.1465 (2.1820) Prec@1 53.906 (49.730) Prec@5 73.438 (74.678)
Epoch: [66][1600/5005] Time 0.211 (0.213) Data 0.043 (0.047) Loss 2.2245 (2.1819) Prec@1 48.828 (49.732) Prec@5 73.438 (74.680)
Epoch: [66][1610/5005] Time 0.211 (0.213) Data 0.043 (0.047) Loss 2.3079 (2.1818) Prec@1 47.266 (49.734) Prec@5 73.438 (74.686)
Epoch: [66][1620/5005] Time 0.206 (0.213) Data 0.058 (0.047) Loss 2.3983 (2.1813) Prec@1 47.266 (49.740) Prec@5 69.531 (74.686)
Epoch: [66][1630/5005] Time 0.210 (0.213) Data 0.062 (0.047) Loss 2.0030 (2.1813) Prec@1 53.125 (49.741) Prec@5 77.344 (74.683)
Epoch: [66][1640/5005] Time 0.206 (0.213) Data 0.048 (0.047) Loss 2.3231 (2.1815) Prec@1 51.172 (49.747) Prec@5 72.656 (74.676)
Epoch: [66][1650/5005] Time 0.210 (0.213) Data 0.046 (0.047) Loss 2.2613 (2.1817) Prec@1 46.875 (49.747) Prec@5 72.656 (74.672)
Epoch: [66][1660/5005] Time 0.210 (0.213) Data 0.047 (0.047) Loss 2.1337 (2.1812) Prec@1 54.297 (49.764) Prec@5 76.172 (74.680)
Epoch: [66][1670/5005] Time 0.213 (0.213) Data 0.064 (0.047) Loss 1.8515 (2.1812) Prec@1 55.859 (49.769) Prec@5 77.734 (74.680)
Epoch: [66][1680/5005] Time 0.207 (0.213) Data 0.044 (0.047) Loss 2.3248 (2.1815) Prec@1 46.484 (49.763) Prec@5 72.266 (74.675)
Epoch: [66][1690/5005] Time 0.208 (0.213) Data 0.056 (0.047) Loss 2.0604 (2.1811) Prec@1 53.125 (49.767) Prec@5 75.000 (74.686)
Epoch: [66][1700/5005] Time 0.216 (0.213) Data 0.048 (0.047) Loss 2.2215 (2.1807) Prec@1 46.094 (49.773) Prec@5 71.875 (74.690)
Epoch: [66][1710/5005] Time 0.217 (0.213) Data 0.045 (0.047) Loss 1.9303 (2.1800) Prec@1 55.859 (49.780) Prec@5 78.516 (74.699)
Epoch: [66][1720/5005] Time 0.196 (0.212) Data 0.056 (0.047) Loss 2.1564 (2.1801) Prec@1 50.000 (49.779) Prec@5 73.828 (74.698)
Epoch: [66][1730/5005] Time 0.202 (0.212) Data 0.046 (0.047) Loss 2.1236 (2.1800) Prec@1 45.312 (49.777) Prec@5 78.125 (74.701)
Epoch: [66][1740/5005] Time 0.209 (0.212) Data 0.050 (0.047) Loss 2.3453 (2.1796) Prec@1 44.922 (49.784) Prec@5 71.875 (74.707)
Epoch: [66][1750/5005] Time 0.218 (0.212) Data 0.043 (0.047) Loss 2.1522 (2.1794) Prec@1 48.047 (49.784) Prec@5 74.609 (74.709)
Epoch: [66][1760/5005] Time 0.206 (0.212) Data 0.064 (0.047) Loss 1.9300 (2.1792) Prec@1 55.859 (49.786) Prec@5 80.078 (74.719)
Epoch: [66][1770/5005] Time 0.206 (0.212) Data 0.056 (0.047) Loss 2.2393 (2.1791) Prec@1 48.047 (49.783) Prec@5 72.656 (74.721)
Epoch: [66][1780/5005] Time 0.205 (0.212) Data 0.045 (0.047) Loss 2.0117 (2.1789) Prec@1 52.344 (49.786) Prec@5 76.953 (74.728)
Epoch: [66][1790/5005] Time 0.214 (0.212) Data 0.046 (0.047) Loss 2.1058 (2.1788) Prec@1 53.516 (49.789) Prec@5 74.219 (74.728)
Epoch: [66][1800/5005] Time 0.200 (0.212) Data 0.050 (0.047) Loss 2.0687 (2.1785) Prec@1 50.781 (49.799) Prec@5 77.734 (74.732)
Epoch: [66][1810/5005] Time 0.207 (0.212) Data 0.066 (0.047) Loss 2.0509 (2.1782) Prec@1 53.125 (49.800) Prec@5 78.906 (74.737)
Epoch: [66][1820/5005] Time 0.206 (0.212) Data 0.052 (0.047) Loss 2.1225 (2.1781) Prec@1 48.438 (49.801) Prec@5 75.391 (74.741)
Epoch: [66][1830/5005] Time 0.210 (0.212) Data 0.044 (0.047) Loss 1.9028 (2.1776) Prec@1 55.469 (49.805) Prec@5 81.641 (74.748)
Epoch: [66][1840/5005] Time 0.213 (0.212) Data 0.043 (0.047) Loss 2.1694 (2.1772) Prec@1 55.078 (49.820) Prec@5 74.219 (74.752)
Epoch: [66][1850/5005] Time 0.211 (0.212) Data 0.043 (0.047) Loss 2.2056 (2.1768) Prec@1 52.344 (49.825) Prec@5 78.125 (74.757)
Epoch: [66][1860/5005] Time 0.203 (0.212) Data 0.043 (0.047) Loss 2.1241 (2.1768) Prec@1 52.344 (49.825) Prec@5 73.438 (74.758)
Epoch: [66][1870/5005] Time 0.211 (0.212) Data 0.043 (0.047) Loss 2.2156 (2.1771) Prec@1 45.703 (49.819) Prec@5 73.047 (74.752)
Epoch: [66][1880/5005] Time 0.208 (0.212) Data 0.042 (0.047) Loss 2.2257 (2.1772) Prec@1 50.000 (49.818) Prec@5 72.266 (74.752)
Epoch: [66][1890/5005] Time 0.207 (0.212) Data 0.045 (0.047) Loss 2.1918 (2.1771) Prec@1 49.609 (49.819) Prec@5 71.484 (74.754)
Epoch: [66][1900/5005] Time 0.217 (0.212) Data 0.043 (0.047) Loss 2.1596 (2.1776) Prec@1 50.000 (49.814) Prec@5 78.125 (74.754)
Epoch: [66][1910/5005] Time 0.207 (0.212) Data 0.044 (0.047) Loss 2.1106 (2.1773) Prec@1 51.172 (49.817) Prec@5 75.781 (74.758)
Epoch: [66][1920/5005] Time 0.212 (0.212) Data 0.042 (0.047) Loss 2.0935 (2.1770) Prec@1 51.172 (49.818) Prec@5 78.906 (74.762)
Epoch: [66][1930/5005] Time 0.208 (0.212) Data 0.042 (0.047) Loss 2.1169 (2.1767) Prec@1 50.391 (49.828) Prec@5 74.609 (74.771)
Epoch: [66][1940/5005] Time 0.213 (0.212) Data 0.043 (0.047) Loss 2.0677 (2.1763) Prec@1 48.047 (49.834) Prec@5 75.781 (74.781)
Epoch: [66][1950/5005] Time 0.215 (0.212) Data 0.045 (0.047) Loss 2.2665 (2.1760) Prec@1 45.703 (49.842) Prec@5 71.484 (74.788)
Epoch: [66][1960/5005] Time 0.202 (0.212) Data 0.058 (0.047) Loss 2.0875 (2.1757) Prec@1 50.000 (49.850) Prec@5 73.828 (74.791)
Epoch: [66][1970/5005] Time 0.212 (0.212) Data 0.043 (0.047) Loss 2.0992 (2.1757) Prec@1 51.172 (49.843) Prec@5 74.219 (74.789)
Epoch: [66][1980/5005] Time 0.213 (0.212) Data 0.043 (0.047) Loss 1.9403 (2.1756) Prec@1 51.953 (49.851) Prec@5 76.172 (74.789)
Epoch: [66][1990/5005] Time 0.212 (0.212) Data 0.057 (0.047) Loss 1.9485 (2.1753) Prec@1 51.562 (49.855) Prec@5 77.344 (74.797)
Epoch: [66][2000/5005] Time 1.437 (0.213) Data 0.038 (0.047) Loss 1.9694 (2.1753) Prec@1 53.125 (49.857) Prec@5 78.516 (74.794)
Epoch: [66][2010/5005] Time 0.196 (0.213) Data 0.041 (0.047) Loss 2.1091 (2.1753) Prec@1 51.953 (49.855) Prec@5 76.172 (74.792)
Epoch: [66][2020/5005] Time 0.198 (0.213) Data 0.047 (0.047) Loss 2.2981 (2.1753) Prec@1 49.609 (49.858) Prec@5 72.266 (74.790)
Epoch: [66][2030/5005] Time 0.204 (0.212) Data 0.042 (0.047) Loss 2.1266 (2.1754) Prec@1 52.344 (49.859) Prec@5 77.734 (74.792)
Epoch: [66][2040/5005] Time 0.210 (0.212) Data 0.043 (0.047) Loss 1.9764 (2.1751) Prec@1 57.031 (49.867) Prec@5 78.906 (74.800)
Epoch: [66][2050/5005] Time 0.205 (0.212) Data 0.059 (0.047) Loss 2.2275 (2.1749) Prec@1 50.391 (49.873) Prec@5 73.047 (74.801)
Epoch: [66][2060/5005] Time 0.201 (0.212) Data 0.059 (0.047) Loss 2.1016 (2.1746) Prec@1 51.562 (49.875) Prec@5 76.172 (74.807)
Epoch: [66][2070/5005] Time 0.207 (0.212) Data 0.052 (0.047) Loss 2.3640 (2.1748) Prec@1 45.312 (49.871) Prec@5 73.047 (74.797)
Epoch: [66][2080/5005] Time 0.207 (0.212) Data 0.045 (0.047) Loss 2.1699 (2.1749) Prec@1 50.391 (49.870) Prec@5 75.391 (74.800)
Epoch: [66][2090/5005] Time 0.207 (0.212) Data 0.048 (0.047) Loss 1.8813 (2.1745) Prec@1 54.688 (49.877) Prec@5 80.469 (74.809)
Epoch: [66][2100/5005] Time 0.211 (0.212) Data 0.053 (0.047) Loss 2.2110 (2.1742) Prec@1 49.609 (49.883) Prec@5 75.781 (74.812)
Epoch: [66][2110/5005] Time 0.214 (0.212) Data 0.043 (0.047) Loss 1.9787 (2.1742) Prec@1 54.688 (49.886) Prec@5 78.906 (74.813)
Epoch: [66][2120/5005] Time 0.221 (0.212) Data 0.039 (0.047) Loss 2.2810 (2.1742) Prec@1 51.953 (49.887) Prec@5 73.047 (74.817)
Epoch: [66][2130/5005] Time 0.208 (0.212) Data 0.045 (0.047) Loss 2.1514 (2.1737) Prec@1 49.609 (49.900) Prec@5 75.391 (74.825)
Epoch: [66][2140/5005] Time 0.221 (0.212) Data 0.047 (0.047) Loss 2.1140 (2.1737) Prec@1 50.391 (49.901) Prec@5 74.609 (74.825)
Epoch: [66][2150/5005] Time 0.220 (0.212) Data 0.056 (0.047) Loss 2.0678 (2.1737) Prec@1 53.516 (49.905) Prec@5 75.781 (74.823)
Epoch: [66][2160/5005] Time 0.204 (0.212) Data 0.050 (0.047) Loss 2.0041 (2.1734) Prec@1 50.781 (49.914) Prec@5 77.344 (74.830)
Epoch: [66][2170/5005] Time 0.203 (0.212) Data 0.060 (0.047) Loss 1.9104 (2.1730) Prec@1 52.734 (49.923) Prec@5 80.469 (74.837)
Epoch: [66][2180/5005] Time 0.207 (0.212) Data 0.048 (0.047) Loss 2.2435 (2.1730) Prec@1 52.344 (49.921) Prec@5 71.094 (74.837)
Epoch: [66][2190/5005] Time 0.200 (0.212) Data 0.048 (0.047) Loss 2.2947 (2.1729) Prec@1 49.219 (49.926) Prec@5 67.969 (74.833)
Epoch: [66][2200/5005] Time 0.203 (0.212) Data 0.064 (0.047) Loss 2.0730 (2.1729) Prec@1 49.219 (49.924) Prec@5 75.781 (74.833)
Epoch: [66][2210/5005] Time 0.206 (0.212) Data 0.054 (0.047) Loss 2.2219 (2.1731) Prec@1 50.000 (49.922) Prec@5 75.000 (74.828)
Epoch: [66][2220/5005] Time 0.213 (0.212) Data 0.042 (0.047) Loss 2.3347 (2.1728) Prec@1 48.438 (49.924) Prec@5 69.922 (74.830)
Epoch: [66][2230/5005] Time 0.193 (0.212) Data 0.058 (0.047) Loss 2.1778 (2.1728) Prec@1 50.000 (49.925) Prec@5 73.047 (74.826)
Epoch: [66][2240/5005] Time 0.212 (0.212) Data 0.048 (0.047) Loss 2.2671 (2.1730) Prec@1 48.828 (49.922) Prec@5 73.438 (74.826)
Epoch: [66][2250/5005] Time 0.209 (0.212) Data 0.048 (0.047) Loss 2.0173 (2.1731) Prec@1 50.781 (49.919) Prec@5 78.516 (74.823)
Epoch: [66][2260/5005] Time 0.205 (0.212) Data 0.041 (0.047) Loss 2.1380 (2.1729) Prec@1 47.656 (49.921) Prec@5 73.828 (74.825)
Epoch: [66][2270/5005] Time 0.207 (0.212) Data 0.041 (0.047) Loss 2.3137 (2.1726) Prec@1 43.750 (49.926) Prec@5 71.484 (74.832)
Epoch: [66][2280/5005] Time 0.211 (0.212) Data 0.043 (0.047) Loss 2.3619 (2.1726) Prec@1 46.875 (49.930) Prec@5 74.219 (74.834)
Epoch: [66][2290/5005] Time 0.214 (0.212) Data 0.043 (0.047) Loss 1.9219 (2.1723) Prec@1 52.734 (49.931) Prec@5 78.906 (74.836)
Epoch: [66][2300/5005] Time 0.210 (0.212) Data 0.044 (0.047) Loss 2.1200 (2.1723) Prec@1 50.781 (49.936) Prec@5 76.562 (74.837)
Epoch: [66][2310/5005] Time 0.195 (0.212) Data 0.045 (0.047) Loss 1.8583 (2.1721) Prec@1 57.031 (49.943) Prec@5 78.906 (74.837)
Epoch: [66][2320/5005] Time 0.205 (0.212) Data 0.043 (0.047) Loss 2.3297 (2.1721) Prec@1 49.219 (49.947) Prec@5 73.438 (74.834)
Epoch: [66][2330/5005] Time 0.219 (0.212) Data 0.045 (0.047) Loss 2.0561 (2.1719) Prec@1 54.688 (49.954) Prec@5 75.781 (74.836)
Epoch: [66][2340/5005] Time 0.216 (0.212) Data 0.043 (0.047) Loss 2.1371 (2.1717) Prec@1 50.781 (49.959) Prec@5 76.562 (74.842)
Epoch: [66][2350/5005] Time 0.206 (0.212) Data 0.048 (0.047) Loss 1.9647 (2.1714) Prec@1 53.125 (49.962) Prec@5 76.953 (74.843)
Epoch: [66][2360/5005] Time 0.210 (0.212) Data 0.044 (0.047) Loss 2.1847 (2.1714) Prec@1 47.266 (49.962) Prec@5 75.000 (74.844)
Epoch: [66][2370/5005] Time 0.212 (0.212) Data 0.044 (0.047) Loss 2.3078 (2.1713) Prec@1 46.484 (49.966) Prec@5 74.219 (74.844)
Epoch: [66][2380/5005] Time 0.202 (0.212) Data 0.057 (0.047) Loss 2.1403 (2.1711) Prec@1 51.953 (49.971) Prec@5 75.391 (74.850)
Epoch: [66][2390/5005] Time 0.209 (0.212) Data 0.048 (0.047) Loss 2.1554 (2.1710) Prec@1 49.219 (49.976) Prec@5 75.391 (74.849)
Epoch: [66][2400/5005] Time 0.211 (0.212) Data 0.047 (0.047) Loss 2.1833 (2.1709) Prec@1 47.656 (49.970) Prec@5 74.219 (74.851)
Epoch: [66][2410/5005] Time 0.210 (0.212) Data 0.049 (0.047) Loss 2.3010 (2.1710) Prec@1 45.703 (49.969) Prec@5 73.828 (74.846)
Epoch: [66][2420/5005] Time 0.213 (0.212) Data 0.043 (0.047) Loss 2.2023 (2.1707) Prec@1 49.609 (49.973) Prec@5 72.266 (74.855)
Epoch: [66][2430/5005] Time 0.212 (0.212) Data 0.048 (0.047) Loss 1.9720 (2.1708) Prec@1 51.953 (49.974) Prec@5 78.516 (74.854)
Epoch: [66][2440/5005] Time 0.202 (0.212) Data 0.056 (0.047) Loss 1.9412 (2.1706) Prec@1 55.859 (49.979) Prec@5 78.125 (74.853)
Epoch: [66][2450/5005] Time 0.208 (0.212) Data 0.044 (0.047) Loss 2.0631 (2.1706) Prec@1 48.438 (49.979) Prec@5 78.125 (74.851)
Epoch: [66][2460/5005] Time 0.215 (0.212) Data 0.048 (0.047) Loss 2.1983 (2.1705) Prec@1 50.000 (49.980) Prec@5 73.828 (74.851)
Epoch: [66][2470/5005] Time 0.212 (0.212) Data 0.044 (0.047) Loss 2.0576 (2.1704) Prec@1 50.000 (49.982) Prec@5 75.781 (74.854)
Epoch: [66][2480/5005] Time 0.199 (0.212) Data 0.046 (0.047) Loss 2.2550 (2.1706) Prec@1 50.000 (49.981) Prec@5 73.047 (74.847)
Epoch: [66][2490/5005] Time 0.200 (0.212) Data 0.044 (0.047) Loss 1.9524 (2.1706) Prec@1 56.250 (49.984) Prec@5 78.516 (74.844)
Epoch: [66][2500/5005] Time 0.210 (0.212) Data 0.043 (0.047) Loss 2.2178 (2.1704) Prec@1 50.391 (49.985) Prec@5 74.219 (74.848)
Epoch: [66][2510/5005] Time 0.209 (0.212) Data 0.042 (0.047) Loss 2.2248 (2.1704) Prec@1 49.219 (49.988) Prec@5 75.781 (74.849)
Epoch: [66][2520/5005] Time 0.208 (0.212) Data 0.045 (0.047) Loss 2.0001 (2.1703) Prec@1 51.562 (49.989) Prec@5 75.000 (74.853)
Epoch: [66][2530/5005] Time 0.208 (0.212) Data 0.043 (0.047) Loss 2.2636 (2.1701) Prec@1 48.828 (49.990) Prec@5 72.656 (74.854)
Epoch: [66][2540/5005] Time 0.206 (0.212) Data 0.044 (0.047) Loss 2.1558 (2.1700) Prec@1 48.828 (49.992) Prec@5 74.219 (74.856)
Epoch: [66][2550/5005] Time 0.211 (0.212) Data 0.043 (0.047) Loss 2.1102 (2.1700) Prec@1 51.953 (49.995) Prec@5 77.344 (74.856)
Epoch: [66][2560/5005] Time 0.212 (0.212) Data 0.042 (0.047) Loss 2.4714 (2.1701) Prec@1 42.969 (49.997) Prec@5 69.141 (74.854)
Epoch: [66][2570/5005] Time 0.214 (0.212) Data 0.042 (0.047) Loss 2.1019 (2.1701) Prec@1 48.828 (49.993) Prec@5 77.734 (74.856)
Epoch: [66][2580/5005] Time 0.213 (0.212) Data 0.043 (0.047) Loss 2.2024 (2.1704) Prec@1 47.656 (49.990) Prec@5 73.438 (74.847)
Epoch: [66][2590/5005] Time 0.208 (0.212) Data 0.052 (0.047) Loss 2.2181 (2.1702) Prec@1 50.000 (49.997) Prec@5 75.000 (74.849)
Epoch: [66][2600/5005] Time 0.208 (0.212) Data 0.046 (0.047) Loss 2.1809 (2.1704) Prec@1 48.828 (49.993) Prec@5 75.000 (74.843)
Epoch: [66][2610/5005] Time 0.213 (0.212) Data 0.042 (0.047) Loss 2.3214 (2.1701) Prec@1 49.219 (50.002) Prec@5 70.703 (74.847)
Epoch: [66][2620/5005] Time 0.214 (0.212) Data 0.044 (0.047) Loss 2.1585 (2.1700) Prec@1 50.781 (50.005) Prec@5 73.828 (74.847)
Epoch: [66][2630/5005] Time 0.209 (0.212) Data 0.044 (0.047) Loss 2.2888 (2.1703) Prec@1 45.312 (50.001) Prec@5 74.219 (74.841)
Epoch: [66][2640/5005] Time 0.208 (0.212) Data 0.045 (0.047) Loss 2.2926 (2.1702) Prec@1 48.047 (50.001) Prec@5 71.875 (74.843)
Epoch: [66][2650/5005] Time 0.206 (0.212) Data 0.042 (0.047) Loss 2.2943 (2.1702) Prec@1 49.609 (50.005) Prec@5 72.656 (74.841)
Epoch: [66][2660/5005] Time 0.207 (0.212) Data 0.047 (0.047) Loss 2.0888 (2.1700) Prec@1 49.609 (50.008) Prec@5 76.172 (74.842)
Epoch: [66][2670/5005] Time 0.213 (0.212) Data 0.046 (0.047) Loss 1.9150 (2.1697) Prec@1 55.078 (50.015) Prec@5 80.469 (74.845)
Epoch: [66][2680/5005] Time 0.203 (0.212) Data 0.045 (0.047) Loss 2.1626 (2.1698) Prec@1 51.172 (50.011) Prec@5 73.828 (74.842)
Epoch: [66][2690/5005] Time 0.208 (0.212) Data 0.042 (0.047) Loss 2.0246 (2.1697) Prec@1 55.078 (50.014) Prec@5 77.344 (74.842)
Epoch: [66][2700/5005] Time 0.213 (0.212) Data 0.045 (0.047) Loss 2.0702 (2.1696) Prec@1 53.125 (50.015) Prec@5 77.734 (74.844)
Epoch: [66][2710/5005] Time 0.208 (0.212) Data 0.049 (0.047) Loss 1.9540 (2.1698) Prec@1 52.344 (50.007) Prec@5 76.562 (74.838)
Epoch: [66][2720/5005] Time 0.209 (0.212) Data 0.047 (0.047) Loss 1.9557 (2.1696) Prec@1 56.250 (50.009) Prec@5 80.859 (74.843)
Epoch: [66][2730/5005] Time 0.207 (0.212) Data 0.044 (0.047) Loss 2.1898 (2.1694) Prec@1 49.219 (50.011) Prec@5 71.875 (74.845)
Epoch: [66][2740/5005] Time 0.210 (0.212) Data 0.044 (0.047) Loss 2.1892 (2.1693) Prec@1 51.562 (50.012) Prec@5 78.906 (74.847)
Epoch: [66][2750/5005] Time 0.210 (0.212) Data 0.049 (0.047) Loss 2.1912 (2.1691) Prec@1 48.438 (50.018) Prec@5 74.219 (74.851)
Epoch: [66][2760/5005] Time 0.212 (0.212) Data 0.044 (0.047) Loss 2.0623 (2.1688) Prec@1 52.734 (50.022) Prec@5 78.906 (74.859)
Epoch: [66][2770/5005] Time 0.201 (0.212) Data 0.042 (0.047) Loss 2.1335 (2.1688) Prec@1 49.609 (50.020) Prec@5 78.516 (74.861)
Epoch: [66][2780/5005] Time 0.210 (0.211) Data 0.044 (0.047) Loss 2.4013 (2.1688) Prec@1 45.312 (50.028) Prec@5 71.875 (74.863)
Epoch: [66][2790/5005] Time 0.203 (0.211) Data 0.043 (0.047) Loss 2.3180 (2.1688) Prec@1 44.141 (50.028) Prec@5 72.266 (74.863)
Epoch: [66][2800/5005] Time 0.203 (0.211) Data 0.042 (0.047) Loss 1.9429 (2.1688) Prec@1 53.125 (50.029) Prec@5 78.906 (74.865)
Epoch: [66][2810/5005] Time 0.212 (0.211) Data 0.041 (0.047) Loss 2.4141 (2.1688) Prec@1 44.922 (50.027) Prec@5 72.266 (74.864)
Epoch: [66][2820/5005] Time 0.200 (0.211) Data 0.041 (0.047) Loss 1.9113 (2.1685) Prec@1 53.125 (50.028) Prec@5 77.734 (74.866)
Epoch: [66][2830/5005] Time 0.206 (0.211) Data 0.041 (0.047) Loss 2.2995 (2.1684) Prec@1 45.312 (50.028) Prec@5 73.047 (74.866)
Epoch: [66][2840/5005] Time 0.213 (0.211) Data 0.041 (0.047) Loss 2.0445 (2.1683) Prec@1 49.219 (50.031) Prec@5 76.953 (74.868)
Epoch: [66][2850/5005] Time 0.207 (0.211) Data 0.041 (0.047) Loss 2.1730 (2.1681) Prec@1 53.125 (50.033) Prec@5 72.656 (74.872)
Epoch: [66][2860/5005] Time 0.204 (0.211) Data 0.040 (0.047) Loss 2.1661 (2.1681) Prec@1 49.219 (50.037) Prec@5 73.047 (74.873)
Epoch: [66][2870/5005] Time 0.210 (0.211) Data 0.044 (0.047) Loss 1.9953 (2.1678) Prec@1 56.250 (50.043) Prec@5 76.953 (74.879)
Epoch: [66][2880/5005] Time 0.199 (0.211) Data 0.044 (0.047) Loss 2.1442 (2.1677) Prec@1 47.266 (50.044) Prec@5 75.000 (74.881)
Epoch: [66][2890/5005] Time 0.212 (0.211) Data 0.041 (0.047) Loss 2.2044 (2.1675) Prec@1 47.656 (50.050) Prec@5 71.875 (74.883)
Epoch: [66][2900/5005] Time 0.211 (0.211) Data 0.046 (0.047) Loss 1.9514 (2.1674) Prec@1 52.734 (50.053) Prec@5 80.469 (74.885)
Epoch: [66][2910/5005] Time 0.216 (0.211) Data 0.043 (0.047) Loss 2.2008 (2.1675) Prec@1 46.094 (50.052) Prec@5 75.000 (74.886)
Epoch: [66][2920/5005] Time 0.205 (0.211) Data 0.049 (0.047) Loss 2.1574 (2.1674) Prec@1 51.562 (50.056) Prec@5 76.562 (74.890)
Epoch: [66][2930/5005] Time 0.206 (0.211) Data 0.061 (0.047) Loss 2.4663 (2.1675) Prec@1 42.969 (50.058) Prec@5 73.047 (74.889)
Epoch: [66][2940/5005] Time 0.208 (0.211) Data 0.046 (0.047) Loss 2.2064 (2.1672) Prec@1 49.609 (50.063) Prec@5 71.875 (74.893)
Epoch: [66][2950/5005] Time 0.208 (0.211) Data 0.047 (0.047) Loss 2.2449 (2.1669) Prec@1 47.656 (50.069) Prec@5 74.219 (74.901)
Epoch: [66][2960/5005] Time 0.209 (0.211) Data 0.070 (0.047) Loss 2.0986 (2.1667) Prec@1 50.391 (50.076) Prec@5 74.609 (74.903)
Epoch: [66][2970/5005] Time 0.206 (0.211) Data 0.050 (0.047) Loss 2.2149 (2.1664) Prec@1 43.750 (50.079) Prec@5 76.562 (74.909)
Epoch: [66][2980/5005] Time 0.205 (0.211) Data 0.058 (0.047) Loss 2.3660 (2.1665) Prec@1 44.141 (50.078) Prec@5 72.656 (74.910)
Epoch: [66][2990/5005] Time 0.214 (0.211) Data 0.044 (0.047) Loss 2.1455 (2.1664) Prec@1 49.609 (50.080) Prec@5 74.219 (74.909)
Epoch: [66][3000/5005] Time 0.206 (0.211) Data 0.042 (0.047) Loss 2.1910 (2.1663) Prec@1 52.344 (50.083) Prec@5 74.219 (74.911)
Epoch: [66][3010/5005] Time 0.198 (0.211) Data 0.044 (0.047) Loss 2.1094 (2.1663) Prec@1 51.953 (50.081) Prec@5 76.562 (74.911)
Epoch: [66][3020/5005] Time 0.215 (0.211) Data 0.042 (0.047) Loss 1.9765 (2.1664) Prec@1 50.000 (50.077) Prec@5 78.516 (74.910)
Epoch: [66][3030/5005] Time 0.212 (0.211) Data 0.045 (0.047) Loss 2.0819 (2.1664) Prec@1 55.859 (50.077) Prec@5 78.516 (74.910)
Epoch: [66][3040/5005] Time 0.216 (0.211) Data 0.042 (0.047) Loss 1.9020 (2.1661) Prec@1 56.250 (50.085) Prec@5 78.906 (74.913)
Epoch: [66][3050/5005] Time 0.210 (0.211) Data 0.040 (0.047) Loss 2.1029 (2.1661) Prec@1 48.438 (50.083) Prec@5 75.781 (74.913)
Epoch: [66][3060/5005] Time 0.203 (0.211) Data 0.042 (0.047) Loss 2.0028 (2.1658) Prec@1 52.734 (50.085) Prec@5 76.172 (74.917)
Epoch: [66][3070/5005] Time 0.201 (0.211) Data 0.044 (0.047) Loss 2.1689 (2.1658) Prec@1 51.172 (50.088) Prec@5 75.000 (74.918)
Epoch: [66][3080/5005] Time 0.209 (0.211) Data 0.040 (0.047) Loss 2.1468 (2.1658) Prec@1 47.656 (50.085) Prec@5 74.219 (74.918)
Epoch: [66][3090/5005] Time 0.210 (0.211) Data 0.044 (0.047) Loss 2.2482 (2.1656) Prec@1 46.484 (50.088) Prec@5 72.266 (74.918)
Epoch: [66][3100/5005] Time 0.213 (0.211) Data 0.045 (0.047) Loss 2.1926 (2.1656) Prec@1 48.047 (50.085) Prec@5 75.781 (74.921)
Epoch: [66][3110/5005] Time 0.207 (0.211) Data 0.058 (0.047) Loss 1.9670 (2.1653) Prec@1 54.688 (50.092) Prec@5 78.516 (74.925)
Epoch: [66][3120/5005] Time 0.212 (0.211) Data 0.045 (0.047) Loss 2.2640 (2.1653) Prec@1 46.875 (50.091) Prec@5 71.484 (74.925)
Epoch: [66][3130/5005] Time 0.204 (0.211) Data 0.047 (0.047) Loss 2.2013 (2.1652) Prec@1 47.656 (50.096) Prec@5 75.000 (74.925)
Epoch: [66][3140/5005] Time 0.199 (0.211) Data 0.062 (0.047) Loss 1.8646 (2.1648) Prec@1 55.078 (50.105) Prec@5 78.125 (74.928)
Epoch: [66][3150/5005] Time 0.206 (0.211) Data 0.045 (0.047) Loss 2.1277 (2.1646) Prec@1 52.734 (50.112) Prec@5 77.734 (74.932)
Epoch: [66][3160/5005] Time 0.197 (0.211) Data 0.049 (0.047) Loss 1.9951 (2.1646) Prec@1 51.562 (50.118) Prec@5 81.641 (74.936)
Epoch: [66][3170/5005] Time 0.209 (0.211) Data 0.042 (0.047) Loss 2.1252 (2.1646) Prec@1 49.219 (50.120) Prec@5 74.609 (74.937)
Epoch: [66][3180/5005] Time 0.211 (0.211) Data 0.043 (0.047) Loss 1.9774 (2.1645) Prec@1 55.859 (50.122) Prec@5 73.828 (74.936)
Epoch: [66][3190/5005] Time 0.213 (0.211) Data 0.043 (0.047) Loss 2.1036 (2.1644) Prec@1 52.344 (50.127) Prec@5 75.391 (74.940)
Epoch: [66][3200/5005] Time 0.200 (0.211) Data 0.061 (0.047) Loss 2.2552 (2.1643) Prec@1 47.266 (50.132) Prec@5 72.656 (74.940)
Epoch: [66][3210/5005] Time 0.206 (0.211) Data 0.049 (0.047) Loss 2.1425 (2.1641) Prec@1 51.172 (50.138) Prec@5 73.438 (74.945)
Epoch: [66][3220/5005] Time 0.209 (0.211) Data 0.048 (0.047) Loss 2.2198 (2.1640) Prec@1 52.344 (50.141) Prec@5 74.609 (74.948)
Epoch: [66][3230/5005] Time 0.213 (0.211) Data 0.050 (0.047) Loss 2.1157 (2.1637) Prec@1 52.344 (50.148) Prec@5 73.047 (74.952)
Epoch: [66][3240/5005] Time 0.209 (0.211) Data 0.051 (0.047) Loss 2.4453 (2.1640) Prec@1 44.922 (50.144) Prec@5 69.531 (74.945)
Epoch: [66][3250/5005] Time 0.217 (0.211) Data 0.047 (0.047) Loss 1.9846 (2.1640) Prec@1 54.688 (50.146) Prec@5 76.562 (74.945)
Epoch: [66][3260/5005] Time 0.209 (0.211) Data 0.048 (0.047) Loss 2.0112 (2.1640) Prec@1 53.125 (50.148) Prec@5 78.516 (74.945)
Epoch: [66][3270/5005] Time 0.205 (0.211) Data 0.046 (0.047) Loss 2.2004 (2.1637) Prec@1 49.609 (50.149) Prec@5 70.703 (74.949)
Epoch: [66][3280/5005] Time 0.212 (0.211) Data 0.044 (0.047) Loss 2.0674 (2.1638) Prec@1 53.906 (50.147) Prec@5 76.562 (74.949)
Epoch: [66][3290/5005] Time 0.211 (0.211) Data 0.053 (0.047) Loss 2.1603 (2.1636) Prec@1 52.734 (50.149) Prec@5 77.344 (74.953)
Epoch: [66][3300/5005] Time 0.211 (0.211) Data 0.046 (0.047) Loss 2.0653 (2.1635) Prec@1 48.828 (50.151) Prec@5 73.438 (74.951)
Epoch: [66][3310/5005] Time 0.213 (0.211) Data 0.042 (0.047) Loss 2.0074 (2.1635) Prec@1 51.172 (50.152) Prec@5 76.953 (74.953)
Epoch: [66][3320/5005] Time 0.214 (0.211) Data 0.044 (0.047) Loss 2.2199 (2.1633) Prec@1 49.609 (50.152) Prec@5 73.438 (74.954)
Epoch: [66][3330/5005] Time 0.213 (0.211) Data 0.042 (0.047) Loss 2.1341 (2.1633) Prec@1 46.484 (50.150) Prec@5 74.219 (74.954)
Epoch: [66][3340/5005] Time 0.212 (0.211) Data 0.064 (0.047) Loss 2.2117 (2.1632) Prec@1 50.781 (50.153) Prec@5 74.219 (74.957)
Epoch: [66][3350/5005] Time 0.208 (0.211) Data 0.047 (0.047) Loss 2.2369 (2.1630) Prec@1 47.266 (50.158) Prec@5 73.828 (74.962)
Epoch: [66][3360/5005] Time 0.205 (0.211) Data 0.053 (0.047) Loss 2.1535 (2.1630) Prec@1 50.000 (50.159) Prec@5 75.000 (74.962)
Epoch: [66][3370/5005] Time 0.214 (0.211) Data 0.048 (0.047) Loss 2.2402 (2.1631) Prec@1 50.781 (50.159) Prec@5 74.609 (74.959)
Epoch: [66][3380/5005] Time 0.210 (0.211) Data 0.045 (0.047) Loss 2.1618 (2.1628) Prec@1 52.734 (50.163) Prec@5 75.391 (74.964)
Epoch: [66][3390/5005] Time 0.210 (0.211) Data 0.043 (0.047) Loss 2.0391 (2.1629) Prec@1 51.953 (50.157) Prec@5 77.734 (74.963)
Epoch: [66][3400/5005] Time 0.204 (0.211) Data 0.057 (0.047) Loss 1.9954 (2.1628) Prec@1 52.734 (50.160) Prec@5 77.734 (74.963)
Epoch: [66][3410/5005] Time 0.205 (0.211) Data 0.045 (0.047) Loss 2.1756 (2.1627) Prec@1 51.562 (50.160) Prec@5 74.219 (74.966)
Epoch: [66][3420/5005] Time 0.203 (0.211) Data 0.057 (0.047) Loss 2.1314 (2.1626) Prec@1 53.125 (50.163) Prec@5 77.734 (74.970)
Epoch: [66][3430/5005] Time 0.206 (0.211) Data 0.059 (0.047) Loss 2.0980 (2.1625) Prec@1 53.125 (50.166) Prec@5 74.609 (74.971)
Epoch: [66][3440/5005] Time 0.205 (0.211) Data 0.053 (0.047) Loss 2.1591 (2.1624) Prec@1 49.219 (50.166) Prec@5 73.438 (74.972)
Epoch: [66][3450/5005] Time 0.207 (0.211) Data 0.044 (0.047) Loss 1.9649 (2.1621) Prec@1 55.469 (50.175) Prec@5 78.125 (74.975)
Epoch: [66][3460/5005] Time 0.206 (0.211) Data 0.047 (0.047) Loss 2.1708 (2.1621) Prec@1 50.781 (50.178) Prec@5 75.000 (74.975)
Epoch: [66][3470/5005] Time 0.212 (0.211) Data 0.044 (0.047) Loss 2.0700 (2.1619) Prec@1 53.125 (50.182) Prec@5 74.609 (74.979)
Epoch: [66][3480/5005] Time 0.210 (0.211) Data 0.042 (0.047) Loss 1.9992 (2.1616) Prec@1 55.859 (50.187) Prec@5 76.562 (74.985)
Epoch: [66][3490/5005] Time 0.204 (0.211) Data 0.043 (0.047) Loss 2.2689 (2.1616) Prec@1 46.484 (50.188) Prec@5 73.438 (74.985)
Epoch: [66][3500/5005] Time 0.205 (0.211) Data 0.044 (0.047) Loss 2.0701 (2.1615) Prec@1 52.734 (50.190) Prec@5 78.125 (74.989)
Epoch: [66][3510/5005] Time 0.206 (0.211) Data 0.044 (0.047) Loss 2.0537 (2.1614) Prec@1 50.000 (50.187) Prec@5 76.953 (74.990)
Epoch: [66][3520/5005] Time 0.200 (0.211) Data 0.043 (0.047) Loss 2.1656 (2.1612) Prec@1 52.344 (50.191) Prec@5 74.219 (74.995)
Epoch: [66][3530/5005] Time 0.209 (0.211) Data 0.043 (0.047) Loss 1.9855 (2.1609) Prec@1 55.859 (50.198) Prec@5 77.734 (74.999)
Epoch: [66][3540/5005] Time 0.207 (0.211) Data 0.044 (0.047) Loss 1.9813 (2.1607) Prec@1 53.516 (50.202) Prec@5 79.688 (74.999)
Epoch: [66][3550/5005] Time 0.205 (0.211) Data 0.049 (0.047) Loss 2.1761 (2.1605) Prec@1 51.562 (50.206) Prec@5 73.828 (75.002)
Epoch: [66][3560/5005] Time 0.204 (0.211) Data 0.046 (0.047) Loss 2.1711 (2.1605) Prec@1 51.172 (50.208) Prec@5 73.828 (75.001)
Epoch: [66][3570/5005] Time 0.212 (0.211) Data 0.044 (0.047) Loss 2.1654 (2.1604) Prec@1 50.000 (50.210) Prec@5 75.000 (75.003)
Epoch: [66][3580/5005] Time 0.215 (0.211) Data 0.048 (0.047) Loss 2.0646 (2.1603) Prec@1 50.391 (50.208) Prec@5 76.172 (75.004)
Epoch: [66][3590/5005] Time 0.218 (0.211) Data 0.045 (0.047) Loss 2.1614 (2.1599) Prec@1 48.828 (50.216) Prec@5 71.875 (75.011)
Epoch: [66][3600/5005] Time 0.207 (0.211) Data 0.044 (0.047) Loss 2.1326 (2.1597) Prec@1 55.078 (50.220) Prec@5 74.609 (75.012)
Epoch: [66][3610/5005] Time 0.214 (0.211) Data 0.046 (0.047) Loss 1.9491 (2.1596) Prec@1 53.906 (50.223) Prec@5 75.391 (75.014)
Epoch: [66][3620/5005] Time 0.207 (0.211) Data 0.044 (0.047) Loss 2.2819 (2.1594) Prec@1 47.266 (50.227) Prec@5 71.484 (75.018)
Epoch: [66][3630/5005] Time 0.208 (0.211) Data 0.047 (0.047) Loss 2.3658 (2.1593) Prec@1 48.438 (50.228) Prec@5 72.266 (75.021)
Epoch: [66][3640/5005] Time 0.212 (0.211) Data 0.045 (0.047) Loss 2.1903 (2.1593) Prec@1 44.531 (50.229) Prec@5 76.953 (75.023)
Epoch: [66][3650/5005] Time 0.201 (0.211) Data 0.049 (0.047) Loss 2.0525 (2.1592) Prec@1 54.688 (50.232) Prec@5 76.172 (75.027)
Epoch: [66][3660/5005] Time 0.191 (0.211) Data 0.049 (0.047) Loss 2.2316 (2.1590) Prec@1 51.562 (50.237) Prec@5 71.875 (75.032)
Epoch: [66][3670/5005] Time 0.207 (0.211) Data 0.046 (0.047) Loss 2.2067 (2.1591) Prec@1 50.391 (50.236) Prec@5 75.000 (75.031)
Epoch: [66][3680/5005] Time 0.197 (0.211) Data 0.046 (0.047) Loss 1.9732 (2.1590) Prec@1 53.516 (50.239) Prec@5 76.172 (75.031)
Epoch: [66][3690/5005] Time 0.213 (0.211) Data 0.047 (0.047) Loss 2.0240 (2.1590) Prec@1 47.656 (50.239) Prec@5 78.125 (75.033)
Epoch: [66][3700/5005] Time 0.205 (0.211) Data 0.047 (0.047) Loss 2.3442 (2.1590) Prec@1 49.609 (50.238) Prec@5 72.656 (75.032)
Epoch: [66][3710/5005] Time 0.211 (0.211) Data 0.048 (0.047) Loss 2.0797 (2.1590) Prec@1 53.125 (50.239) Prec@5 76.172 (75.034)
Epoch: [66][3720/5005] Time 0.215 (0.211) Data 0.047 (0.047) Loss 2.2272 (2.1589) Prec@1 50.781 (50.241) Prec@5 73.047 (75.038)
Epoch: [66][3730/5005] Time 0.206 (0.211) Data 0.049 (0.047) Loss 2.1279 (2.1587) Prec@1 54.297 (50.244) Prec@5 74.609 (75.041)
Epoch: [66][3740/5005] Time 0.215 (0.211) Data 0.041 (0.047) Loss 2.0656 (2.1583) Prec@1 52.344 (50.249) Prec@5 76.953 (75.048)
Epoch: [66][3750/5005] Time 0.202 (0.211) Data 0.043 (0.047) Loss 2.0028 (2.1584) Prec@1 56.641 (50.247) Prec@5 80.469 (75.047)
Epoch: [66][3760/5005] Time 0.207 (0.211) Data 0.043 (0.047) Loss 2.1620 (2.1585) Prec@1 50.391 (50.249) Prec@5 72.656 (75.046)
Epoch: [66][3770/5005] Time 0.212 (0.211) Data 0.041 (0.047) Loss 2.1923 (2.1583) Prec@1 50.391 (50.251) Prec@5 72.656 (75.049)
Epoch: [66][3780/5005] Time 0.212 (0.211) Data 0.042 (0.047) Loss 1.9611 (2.1582) Prec@1 53.125 (50.256) Prec@5 76.953 (75.048)
Epoch: [66][3790/5005] Time 0.213 (0.211) Data 0.044 (0.047) Loss 2.3184 (2.1582) Prec@1 50.391 (50.256) Prec@5 70.703 (75.048)
Epoch: [66][3800/5005] Time 0.212 (0.211) Data 0.045 (0.047) Loss 1.9714 (2.1583) Prec@1 52.344 (50.256) Prec@5 77.344 (75.046)
Epoch: [66][3810/5005] Time 0.211 (0.211) Data 0.044 (0.047) Loss 2.1363 (2.1583) Prec@1 52.734 (50.255) Prec@5 75.781 (75.045)
Epoch: [66][3820/5005] Time 0.213 (0.211) Data 0.044 (0.047) Loss 2.0847 (2.1581) Prec@1 50.781 (50.261) Prec@5 75.391 (75.049)
Epoch: [66][3830/5005] Time 0.209 (0.211) Data 0.043 (0.047) Loss 2.1351 (2.1578) Prec@1 47.266 (50.268) Prec@5 76.172 (75.054)
Epoch: [66][3840/5005] Time 0.211 (0.211) Data 0.043 (0.047) Loss 2.3868 (2.1579) Prec@1 46.094 (50.266) Prec@5 71.484 (75.051)
Epoch: [66][3850/5005] Time 0.207 (0.211) Data 0.043 (0.047) Loss 2.3560 (2.1579) Prec@1 47.656 (50.265) Prec@5 73.438 (75.053)
Epoch: [66][3860/5005] Time 0.212 (0.211) Data 0.043 (0.047) Loss 1.8963 (2.1578) Prec@1 57.812 (50.270) Prec@5 77.734 (75.053)
Epoch: [66][3870/5005] Time 0.209 (0.211) Data 0.041 (0.047) Loss 2.0648 (2.1578) Prec@1 54.688 (50.268) Prec@5 75.000 (75.053)
Epoch: [66][3880/5005] Time 0.199 (0.211) Data 0.060 (0.047) Loss 2.0439 (2.1578) Prec@1 54.688 (50.270) Prec@5 72.656 (75.052)
Epoch: [66][3890/5005] Time 0.207 (0.211) Data 0.044 (0.047) Loss 2.3560 (2.1578) Prec@1 43.750 (50.267) Prec@5 71.094 (75.052)
Epoch: [66][3900/5005] Time 0.205 (0.211) Data 0.046 (0.047) Loss 2.3138 (2.1578) Prec@1 46.094 (50.266) Prec@5 76.172 (75.054)
Epoch: [66][3910/5005] Time 0.198 (0.211) Data 0.049 (0.047) Loss 2.3010 (2.1577) Prec@1 44.922 (50.268) Prec@5 72.266 (75.056)
Epoch: [66][3920/5005] Time 0.199 (0.211) Data 0.064 (0.047) Loss 2.0633 (2.1576) Prec@1 50.391 (50.270) Prec@5 75.781 (75.057)
Epoch: [66][3930/5005] Time 0.207 (0.211) Data 0.044 (0.047) Loss 2.0666 (2.1574) Prec@1 51.953 (50.274) Prec@5 74.219 (75.061)
Epoch: [66][3940/5005] Time 0.420 (0.211) Data 0.039 (0.047) Loss 2.1706 (2.1574) Prec@1 51.172 (50.274) Prec@5 75.391 (75.061)
Epoch: [66][3950/5005] Time 0.194 (0.211) Data 0.059 (0.047) Loss 2.0210 (2.1572) Prec@1 53.125 (50.280) Prec@5 75.781 (75.063)
Epoch: [66][3960/5005] Time 0.210 (0.211) Data 0.050 (0.047) Loss 2.0670 (2.1571) Prec@1 50.000 (50.280) Prec@5 74.219 (75.066)
Epoch: [66][3970/5005] Time 0.210 (0.211) Data 0.038 (0.047) Loss 1.9748 (2.1570) Prec@1 54.688 (50.285) Prec@5 79.297 (75.067)
Epoch: [66][3980/5005] Time 0.203 (0.211) Data 0.056 (0.047) Loss 1.9789 (2.1568) Prec@1 50.391 (50.287) Prec@5 78.125 (75.070)
Epoch: [66][3990/5005] Time 0.207 (0.211) Data 0.042 (0.047) Loss 2.3417 (2.1568) Prec@1 47.656 (50.287) Prec@5 71.484 (75.070)
Epoch: [66][4000/5005] Time 0.210 (0.211) Data 0.042 (0.047) Loss 1.9096 (2.1567) Prec@1 49.609 (50.288) Prec@5 80.859 (75.074)
Epoch: [66][4010/5005] Time 0.201 (0.211) Data 0.041 (0.047) Loss 2.2393 (2.1565) Prec@1 45.312 (50.293) Prec@5 74.219 (75.077)
Epoch: [66][4020/5005] Time 0.213 (0.211) Data 0.044 (0.047) Loss 2.2399 (2.1564) Prec@1 48.438 (50.293) Prec@5 73.438 (75.078)
Epoch: [66][4030/5005] Time 0.209 (0.211) Data 0.044 (0.047) Loss 2.2856 (2.1566) Prec@1 50.781 (50.291) Prec@5 72.266 (75.074)
Epoch: [66][4040/5005] Time 0.210 (0.211) Data 0.056 (0.047) Loss 2.1031 (2.1566) Prec@1 50.000 (50.290) Prec@5 77.734 (75.076)
Epoch: [66][4050/5005] Time 0.210 (0.211) Data 0.046 (0.047) Loss 2.2668 (2.1565) Prec@1 48.828 (50.294) Prec@5 70.703 (75.079)
Epoch: [66][4060/5005] Time 0.219 (0.211) Data 0.042 (0.047) Loss 2.2565 (2.1564) Prec@1 47.656 (50.295) Prec@5 69.922 (75.077)
Epoch: [66][4070/5005] Time 0.199 (0.211) Data 0.044 (0.047) Loss 2.2712 (2.1564) Prec@1 48.828 (50.295) Prec@5 78.125 (75.080)
Epoch: [66][4080/5005] Time 0.210 (0.211) Data 0.044 (0.047) Loss 2.0361 (2.1563) Prec@1 54.688 (50.298) Prec@5 77.734 (75.080)
Epoch: [66][4090/5005] Time 0.201 (0.211) Data 0.052 (0.047) Loss 2.2426 (2.1562) Prec@1 47.656 (50.298) Prec@5 70.312 (75.079)
Epoch: [66][4100/5005] Time 0.205 (0.211) Data 0.047 (0.047) Loss 2.1199 (2.1561) Prec@1 49.609 (50.297) Prec@5 75.391 (75.078)
Epoch: [66][4110/5005] Time 0.210 (0.211) Data 0.048 (0.047) Loss 2.2531 (2.1560) Prec@1 44.141 (50.297) Prec@5 75.781 (75.080)
Epoch: [66][4120/5005] Time 0.217 (0.211) Data 0.044 (0.047) Loss 2.1813 (2.1558) Prec@1 54.297 (50.299) Prec@5 74.609 (75.083)
Epoch: [66][4130/5005] Time 0.214 (0.211) Data 0.043 (0.047) Loss 2.3587 (2.1557) Prec@1 46.094 (50.301) Prec@5 69.922 (75.084)
Epoch: [66][4140/5005] Time 0.202 (0.211) Data 0.042 (0.047) Loss 2.1604 (2.1556) Prec@1 49.219 (50.303) Prec@5 74.609 (75.085)
Epoch: [66][4150/5005] Time 0.211 (0.211) Data 0.043 (0.047) Loss 2.2179 (2.1555) Prec@1 53.906 (50.302) Prec@5 74.219 (75.086)
Epoch: [66][4160/5005] Time 0.213 (0.211) Data 0.044 (0.047) Loss 2.0911 (2.1556) Prec@1 51.562 (50.302) Prec@5 77.344 (75.088)
Epoch: [66][4170/5005] Time 0.209 (0.211) Data 0.061 (0.047) Loss 2.1070 (2.1555) Prec@1 47.656 (50.307) Prec@5 76.953 (75.089)
Epoch: [66][4180/5005] Time 0.223 (0.211) Data 0.040 (0.047) Loss 1.9597 (2.1552) Prec@1 56.641 (50.314) Prec@5 78.516 (75.094)
Epoch: [66][4190/5005] Time 0.216 (0.210) Data 0.048 (0.047) Loss 2.0138 (2.1552) Prec@1 52.734 (50.315) Prec@5 77.344 (75.094)
Epoch: [66][4200/5005] Time 0.199 (0.210) Data 0.045 (0.047) Loss 1.9144 (2.1551) Prec@1 52.734 (50.315) Prec@5 78.125 (75.095)
Epoch: [66][4210/5005] Time 0.202 (0.210) Data 0.055 (0.047) Loss 2.0740 (2.1550) Prec@1 50.000 (50.319) Prec@5 76.562 (75.095)
Epoch: [66][4220/5005] Time 0.196 (0.210) Data 0.044 (0.047) Loss 2.2987 (2.1551) Prec@1 44.531 (50.316) Prec@5 75.000 (75.096)
Epoch: [66][4230/5005] Time 0.195 (0.210) Data 0.058 (0.047) Loss 2.2161 (2.1550) Prec@1 50.391 (50.318) Prec@5 73.047 (75.096)
Epoch: [66][4240/5005] Time 0.222 (0.210) Data 0.040 (0.047) Loss 2.0196 (2.1550) Prec@1 53.906 (50.319) Prec@5 75.391 (75.097)
Epoch: [66][4250/5005] Time 0.205 (0.210) Data 0.043 (0.047) Loss 2.0516 (2.1548) Prec@1 50.000 (50.323) Prec@5 75.000 (75.099)
Epoch: [66][4260/5005] Time 0.212 (0.210) Data 0.042 (0.047) Loss 2.1755 (2.1548) Prec@1 47.656 (50.322) Prec@5 75.781 (75.098)
Epoch: [66][4270/5005] Time 0.203 (0.210) Data 0.049 (0.047) Loss 2.3435 (2.1549) Prec@1 47.656 (50.320) Prec@5 72.266 (75.098)
Epoch: [66][4280/5005] Time 0.210 (0.210) Data 0.043 (0.047) Loss 2.1266 (2.1548) Prec@1 49.609 (50.320) Prec@5 76.172 (75.100)
Epoch: [66][4290/5005] Time 0.211 (0.210) Data 0.041 (0.047) Loss 2.2864 (2.1548) Prec@1 48.438 (50.321) Prec@5 71.484 (75.102)
Epoch: [66][4300/5005] Time 0.204 (0.210) Data 0.042 (0.047) Loss 1.9915 (2.1546) Prec@1 50.000 (50.324) Prec@5 80.859 (75.105)
Epoch: [66][4310/5005] Time 0.206 (0.210) Data 0.060 (0.047) Loss 2.0239 (2.1545) Prec@1 50.391 (50.325) Prec@5 77.344 (75.107)
Epoch: [66][4320/5005] Time 0.208 (0.210) Data 0.047 (0.047) Loss 2.1215 (2.1544) Prec@1 50.391 (50.326) Prec@5 77.344 (75.109)
Epoch: [66][4330/5005] Time 0.207 (0.210) Data 0.061 (0.047) Loss 2.0868 (2.1543) Prec@1 51.172 (50.328) Prec@5 79.688 (75.112)
Epoch: [66][4340/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.1619 (2.1544) Prec@1 50.000 (50.325) Prec@5 73.047 (75.111)
Epoch: [66][4350/5005] Time 0.202 (0.210) Data 0.045 (0.047) Loss 2.1184 (2.1542) Prec@1 52.734 (50.330) Prec@5 76.562 (75.115)
Epoch: [66][4360/5005] Time 0.193 (0.210) Data 0.053 (0.047) Loss 1.9663 (2.1540) Prec@1 55.078 (50.333) Prec@5 77.734 (75.118)
Epoch: [66][4370/5005] Time 0.194 (0.210) Data 0.057 (0.047) Loss 2.0417 (2.1540) Prec@1 53.516 (50.336) Prec@5 75.781 (75.119)
Epoch: [66][4380/5005] Time 0.205 (0.210) Data 0.062 (0.047) Loss 2.1319 (2.1539) Prec@1 49.609 (50.335) Prec@5 74.609 (75.119)
Epoch: [66][4390/5005] Time 0.208 (0.210) Data 0.046 (0.047) Loss 2.2352 (2.1538) Prec@1 50.781 (50.339) Prec@5 75.391 (75.120)
Epoch: [66][4400/5005] Time 0.208 (0.210) Data 0.057 (0.047) Loss 2.0474 (2.1537) Prec@1 51.562 (50.340) Prec@5 78.906 (75.122)
Epoch: [66][4410/5005] Time 0.207 (0.210) Data 0.040 (0.047) Loss 2.1223 (2.1536) Prec@1 49.219 (50.342) Prec@5 76.562 (75.124)
Epoch: [66][4420/5005] Time 0.208 (0.210) Data 0.042 (0.047) Loss 1.8228 (2.1535) Prec@1 57.031 (50.343) Prec@5 80.078 (75.125)
Epoch: [66][4430/5005] Time 0.203 (0.210) Data 0.049 (0.047) Loss 2.2015 (2.1533) Prec@1 49.609 (50.349) Prec@5 75.391 (75.130)
Epoch: [66][4440/5005] Time 0.216 (0.210) Data 0.041 (0.047) Loss 2.3119 (2.1532) Prec@1 48.828 (50.353) Prec@5 72.656 (75.131)
Epoch: [66][4450/5005] Time 0.203 (0.210) Data 0.043 (0.047) Loss 2.0615 (2.1532) Prec@1 54.297 (50.353) Prec@5 78.516 (75.131)
Epoch: [66][4460/5005] Time 0.211 (0.210) Data 0.046 (0.047) Loss 2.2259 (2.1531) Prec@1 50.391 (50.354) Prec@5 74.219 (75.132)
Epoch: [66][4470/5005] Time 0.202 (0.210) Data 0.043 (0.047) Loss 2.0203 (2.1531) Prec@1 53.516 (50.356) Prec@5 77.344 (75.132)
Epoch: [66][4480/5005] Time 0.204 (0.210) Data 0.041 (0.047) Loss 1.9812 (2.1531) Prec@1 52.734 (50.354) Prec@5 78.125 (75.130)
Epoch: [66][4490/5005] Time 0.212 (0.210) Data 0.042 (0.047) Loss 2.1594 (2.1531) Prec@1 49.219 (50.355) Prec@5 73.438 (75.130)
Epoch: [66][4500/5005] Time 0.198 (0.210) Data 0.071 (0.047) Loss 1.9556 (2.1530) Prec@1 51.953 (50.358) Prec@5 80.859 (75.133)
Epoch: [66][4510/5005] Time 0.207 (0.210) Data 0.046 (0.047) Loss 1.8145 (2.1529) Prec@1 56.641 (50.360) Prec@5 80.469 (75.136)
Epoch: [66][4520/5005] Time 0.216 (0.210) Data 0.043 (0.047) Loss 2.0886 (2.1527) Prec@1 52.734 (50.365) Prec@5 75.781 (75.139)
Epoch: [66][4530/5005] Time 0.207 (0.210) Data 0.050 (0.047) Loss 2.0110 (2.1525) Prec@1 52.344 (50.370) Prec@5 78.125 (75.139)
Epoch: [66][4540/5005] Time 0.206 (0.210) Data 0.048 (0.047) Loss 2.1943 (2.1526) Prec@1 53.906 (50.370) Prec@5 74.609 (75.137)
Epoch: [66][4550/5005] Time 0.218 (0.210) Data 0.044 (0.047) Loss 2.2208 (2.1525) Prec@1 50.781 (50.371) Prec@5 71.484 (75.139)
Epoch: [66][4560/5005] Time 0.208 (0.210) Data 0.049 (0.047) Loss 2.1420 (2.1525) Prec@1 50.391 (50.375) Prec@5 75.781 (75.137)
Epoch: [66][4570/5005] Time 0.205 (0.210) Data 0.041 (0.047) Loss 2.2048 (2.1523) Prec@1 52.344 (50.377) Prec@5 70.703 (75.139)
Epoch: [66][4580/5005] Time 0.207 (0.210) Data 0.047 (0.047) Loss 2.1784 (2.1522) Prec@1 46.875 (50.377) Prec@5 76.953 (75.143)
Epoch: [66][4590/5005] Time 0.211 (0.210) Data 0.048 (0.047) Loss 2.0723 (2.1522) Prec@1 53.906 (50.378) Prec@5 76.953 (75.144)
Epoch: [66][4600/5005] Time 0.205 (0.210) Data 0.046 (0.047) Loss 1.9510 (2.1522) Prec@1 55.859 (50.379) Prec@5 78.516 (75.144)
Epoch: [66][4610/5005] Time 0.215 (0.210) Data 0.042 (0.047) Loss 1.9863 (2.1521) Prec@1 51.172 (50.381) Prec@5 76.562 (75.145)
Epoch: [66][4620/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.1139 (2.1520) Prec@1 53.906 (50.386) Prec@5 74.609 (75.144)
Epoch: [66][4630/5005] Time 0.212 (0.210) Data 0.045 (0.047) Loss 1.9733 (2.1517) Prec@1 51.953 (50.390) Prec@5 75.781 (75.148)
Epoch: [66][4640/5005] Time 0.200 (0.210) Data 0.058 (0.047) Loss 2.0144 (2.1516) Prec@1 52.344 (50.391) Prec@5 77.344 (75.149)
Epoch: [66][4650/5005] Time 0.207 (0.210) Data 0.044 (0.047) Loss 2.1341 (2.1516) Prec@1 50.391 (50.392) Prec@5 74.219 (75.147)
Epoch: [66][4660/5005] Time 0.203 (0.210) Data 0.045 (0.047) Loss 2.4269 (2.1516) Prec@1 44.922 (50.394) Prec@5 68.750 (75.146)
Epoch: [66][4670/5005] Time 0.205 (0.210) Data 0.047 (0.047) Loss 1.9650 (2.1513) Prec@1 56.250 (50.400) Prec@5 79.297 (75.149)
Epoch: [66][4680/5005] Time 0.201 (0.210) Data 0.043 (0.047) Loss 2.0114 (2.1513) Prec@1 50.781 (50.400) Prec@5 78.516 (75.150)
Epoch: [66][4690/5005] Time 0.206 (0.210) Data 0.056 (0.047) Loss 2.1812 (2.1512) Prec@1 51.953 (50.399) Prec@5 74.219 (75.149)
Epoch: [66][4700/5005] Time 0.203 (0.210) Data 0.049 (0.047) Loss 2.0235 (2.1512) Prec@1 51.172 (50.397) Prec@5 76.953 (75.149)
Epoch: [66][4710/5005] Time 0.207 (0.210) Data 0.043 (0.047) Loss 1.9348 (2.1509) Prec@1 53.516 (50.402) Prec@5 79.297 (75.157)
Epoch: [66][4720/5005] Time 0.205 (0.210) Data 0.058 (0.047) Loss 1.9934 (2.1508) Prec@1 55.859 (50.403) Prec@5 76.953 (75.158)
Epoch: [66][4730/5005] Time 0.209 (0.210) Data 0.056 (0.047) Loss 2.0343 (2.1508) Prec@1 52.734 (50.404) Prec@5 75.781 (75.156)
Epoch: [66][4740/5005] Time 0.211 (0.210) Data 0.047 (0.047) Loss 2.0641 (2.1506) Prec@1 48.047 (50.405) Prec@5 75.391 (75.158)
Epoch: [66][4750/5005] Time 0.204 (0.210) Data 0.052 (0.047) Loss 2.1708 (2.1506) Prec@1 51.953 (50.405) Prec@5 73.828 (75.159)
Epoch: [66][4760/5005] Time 0.201 (0.210) Data 0.060 (0.047) Loss 2.3295 (2.1504) Prec@1 46.875 (50.408) Prec@5 71.094 (75.163)
Epoch: [66][4770/5005] Time 0.203 (0.210) Data 0.045 (0.047) Loss 2.0471 (2.1503) Prec@1 50.781 (50.410) Prec@5 75.391 (75.163)
Epoch: [66][4780/5005] Time 0.213 (0.210) Data 0.042 (0.047) Loss 2.2344 (2.1503) Prec@1 46.875 (50.411) Prec@5 72.656 (75.161)
Epoch: [66][4790/5005] Time 0.203 (0.210) Data 0.047 (0.047) Loss 2.2503 (2.1502) Prec@1 50.781 (50.414) Prec@5 70.312 (75.162)
Epoch: [66][4800/5005] Time 0.207 (0.210) Data 0.046 (0.047) Loss 2.3326 (2.1501) Prec@1 46.875 (50.417) Prec@5 69.141 (75.164)
Epoch: [66][4810/5005] Time 0.213 (0.210) Data 0.047 (0.047) Loss 2.3738 (2.1500) Prec@1 48.438 (50.420) Prec@5 70.312 (75.166)
Epoch: [66][4820/5005] Time 0.211 (0.210) Data 0.043 (0.047) Loss 2.3158 (2.1498) Prec@1 46.484 (50.422) Prec@5 72.656 (75.167)
Epoch: [66][4830/5005] Time 0.198 (0.210) Data 0.041 (0.047) Loss 2.1472 (2.1496) Prec@1 48.438 (50.426) Prec@5 74.219 (75.170)
Epoch: [66][4840/5005] Time 0.200 (0.210) Data 0.046 (0.047) Loss 1.9222 (2.1496) Prec@1 53.516 (50.426) Prec@5 80.078 (75.171)
Epoch: [66][4850/5005] Time 0.202 (0.210) Data 0.043 (0.047) Loss 2.2338 (2.1497) Prec@1 44.141 (50.426) Prec@5 72.266 (75.168)
Epoch: [66][4860/5005] Time 0.218 (0.210) Data 0.048 (0.047) Loss 2.1150 (2.1496) Prec@1 48.828 (50.426) Prec@5 75.781 (75.169)
Epoch: [66][4870/5005] Time 0.211 (0.210) Data 0.040 (0.047) Loss 2.0159 (2.1496) Prec@1 57.812 (50.428) Prec@5 77.344 (75.169)
Epoch: [66][4880/5005] Time 0.210 (0.210) Data 0.045 (0.047) Loss 2.0268 (2.1495) Prec@1 53.125 (50.433) Prec@5 76.562 (75.172)
Epoch: [66][4890/5005] Time 0.210 (0.210) Data 0.053 (0.047) Loss 2.2141 (2.1494) Prec@1 51.172 (50.434) Prec@5 71.094 (75.171)
Epoch: [66][4900/5005] Time 0.222 (0.210) Data 0.044 (0.047) Loss 2.0040 (2.1493) Prec@1 53.906 (50.435) Prec@5 78.516 (75.172)
Epoch: [66][4910/5005] Time 0.212 (0.210) Data 0.040 (0.047) Loss 2.0662 (2.1490) Prec@1 51.562 (50.443) Prec@5 77.734 (75.179)
Epoch: [66][4920/5005] Time 0.198 (0.210) Data 0.049 (0.047) Loss 2.0047 (2.1489) Prec@1 51.172 (50.442) Prec@5 76.953 (75.181)
Epoch: [66][4930/5005] Time 0.209 (0.210) Data 0.051 (0.047) Loss 2.3106 (2.1487) Prec@1 54.297 (50.447) Prec@5 71.875 (75.184)
Epoch: [66][4940/5005] Time 0.216 (0.210) Data 0.044 (0.047) Loss 2.0654 (2.1487) Prec@1 52.734 (50.449) Prec@5 75.781 (75.184)
Epoch: [66][4950/5005] Time 0.194 (0.210) Data 0.060 (0.047) Loss 1.8422 (2.1487) Prec@1 55.469 (50.449) Prec@5 79.688 (75.183)
Epoch: [66][4960/5005] Time 0.210 (0.210) Data 0.048 (0.047) Loss 2.2364 (2.1487) Prec@1 52.344 (50.451) Prec@5 76.953 (75.186)
Epoch: [66][4970/5005] Time 0.207 (0.210) Data 0.047 (0.047) Loss 2.2954 (2.1485) Prec@1 45.312 (50.455) Prec@5 71.094 (75.188)
Epoch: [66][4980/5005] Time 0.200 (0.210) Data 0.049 (0.047) Loss 2.1635 (2.1484) Prec@1 50.391 (50.460) Prec@5 76.562 (75.192)
Epoch: [66][4990/5005] Time 0.199 (0.210) Data 0.027 (0.047) Loss 2.1834 (2.1483) Prec@1 44.922 (50.460) Prec@5 74.609 (75.192)
Epoch: [66][5000/5005] Time 0.208 (0.210) Data 0.021 (0.047) Loss 2.3236 (2.1484) Prec@1 45.312 (50.457) Prec@5 73.047 (75.190)
Test: [0/196] Time 1.794 (1.794) Loss 2.3729 (2.3729) Prec@1 50.000 (50.000) Prec@5 69.141 (69.141)
Test: [10/196] Time 0.044 (0.285) Loss 2.4638 (2.5414) Prec@1 45.703 (43.608) Prec@5 68.750 (68.324)
Test: [20/196] Time 0.045 (0.219) Loss 2.4657 (2.5382) Prec@1 44.531 (43.620) Prec@5 70.312 (68.936)
Test: [30/196] Time 0.044 (0.208) Loss 2.4334 (2.5452) Prec@1 43.359 (43.460) Prec@5 71.094 (68.901)
Test: [40/196] Time 0.043 (0.200) Loss 2.2510 (2.5376) Prec@1 49.609 (43.740) Prec@5 73.828 (69.112)
Test: [50/196] Time 0.041 (0.205) Loss 2.5737 (2.5387) Prec@1 46.484 (43.834) Prec@5 70.703 (69.225)
Test: [60/196] Time 0.044 (0.194) Loss 2.4089 (2.5222) Prec@1 47.266 (44.243) Prec@5 73.828 (69.416)
Test: [70/196] Time 0.043 (0.190) Loss 2.4306 (2.5141) Prec@1 45.703 (44.454) Prec@5 68.750 (69.520)
Test: [80/196] Time 0.052 (0.189) Loss 2.3722 (2.5187) Prec@1 51.562 (44.440) Prec@5 77.344 (69.483)
Test: [90/196] Time 0.227 (0.189) Loss 2.5795 (2.5211) Prec@1 48.438 (44.497) Prec@5 68.750 (69.411)
Test: [100/196] Time 0.054 (0.184) Loss 2.6088 (2.5200) Prec@1 44.922 (44.609) Prec@5 67.188 (69.380)
Test: [110/196] Time 0.917 (0.189) Loss 2.7194 (2.5219) Prec@1 42.188 (44.623) Prec@5 65.234 (69.383)
Test: [120/196] Time 0.043 (0.187) Loss 2.3671 (2.5192) Prec@1 44.531 (44.709) Prec@5 73.438 (69.415)
Test: [130/196] Time 0.044 (0.184) Loss 2.1972 (2.5151) Prec@1 48.438 (44.791) Prec@5 75.391 (69.492)
Test: [140/196] Time 0.044 (0.182) Loss 2.3575 (2.5171) Prec@1 45.312 (44.736) Prec@5 68.750 (69.387)
Test: [150/196] Time 0.709 (0.185) Loss 2.1849 (2.5158) Prec@1 50.391 (44.741) Prec@5 76.562 (69.433)
Test: [160/196] Time 0.042 (0.185) Loss 2.4569 (2.5142) Prec@1 49.219 (44.796) Prec@5 70.312 (69.497)
Test: [170/196] Time 0.042 (0.180) Loss 2.3184 (2.5146) Prec@1 46.484 (44.837) Prec@5 75.391 (69.479)
Test: [180/196] Time 0.061 (0.181) Loss 2.6865 (2.5189) Prec@1 41.797 (44.756) Prec@5 69.141 (69.417)
Test: [190/196] Time 0.284 (0.181) Loss 2.7122 (2.5228) Prec@1 41.406 (44.703) Prec@5 67.188 (69.325)
* Prec@1 44.696 Prec@5 69.358
Learning rate: 1e-05
Epoch: [67][0/5005] Time 1.090 (1.090) Data 0.990 (0.990) Loss 2.1837 (2.1837) Prec@1 48.047 (48.047) Prec@5 75.000 (75.000)
Epoch: [67][10/5005] Time 0.199 (0.284) Data 0.047 (0.136) Loss 2.2073 (2.2937) Prec@1 50.781 (47.266) Prec@5 73.828 (72.621)
Epoch: [67][20/5005] Time 0.210 (0.246) Data 0.044 (0.096) Loss 2.3930 (2.3218) Prec@1 46.875 (46.763) Prec@5 72.266 (72.452)
Epoch: [67][30/5005] Time 0.200 (0.232) Data 0.051 (0.081) Loss 2.2136 (2.2986) Prec@1 45.703 (47.190) Prec@5 73.047 (72.732)
Epoch: [67][40/5005] Time 0.206 (0.224) Data 0.047 (0.073) Loss 2.1998 (2.3081) Prec@1 46.875 (47.008) Prec@5 74.219 (72.704)
Epoch: [67][50/5005] Time 0.204 (0.221) Data 0.048 (0.068) Loss 2.0998 (2.2979) Prec@1 46.875 (46.952) Prec@5 77.734 (72.848)
Epoch: [67][60/5005] Time 0.211 (0.218) Data 0.044 (0.064) Loss 2.1098 (2.3019) Prec@1 50.781 (47.067) Prec@5 78.906 (72.912)
Epoch: [67][70/5005] Time 0.199 (0.216) Data 0.057 (0.062) Loss 2.2929 (2.3117) Prec@1 44.141 (46.969) Prec@5 73.828 (72.854)
Epoch: [67][80/5005] Time 0.208 (0.215) Data 0.044 (0.060) Loss 2.2078 (2.3046) Prec@1 50.391 (47.270) Prec@5 75.000 (72.994)
Epoch: [67][90/5005] Time 0.209 (0.214) Data 0.045 (0.059) Loss 2.2944 (2.3015) Prec@1 50.391 (47.377) Prec@5 73.047 (73.017)
Epoch: [67][100/5005] Time 0.202 (0.212) Data 0.042 (0.057) Loss 2.2512 (2.3003) Prec@1 46.484 (47.378) Prec@5 76.172 (72.966)
Epoch: [67][110/5005] Time 0.200 (0.211) Data 0.046 (0.057) Loss 2.3543 (2.3017) Prec@1 50.391 (47.477) Prec@5 70.703 (72.920)
Epoch: [67][120/5005] Time 0.201 (0.211) Data 0.044 (0.056) Loss 2.3837 (2.3065) Prec@1 42.188 (47.421) Prec@5 69.531 (72.782)
Epoch: [67][130/5005] Time 0.205 (0.210) Data 0.039 (0.055) Loss 2.4124 (2.3046) Prec@1 46.484 (47.465) Prec@5 71.875 (72.776)
Epoch: [67][140/5005] Time 0.206 (0.209) Data 0.061 (0.054) Loss 2.3818 (2.3053) Prec@1 47.656 (47.440) Prec@5 70.312 (72.767)
Epoch: [67][150/5005] Time 0.202 (0.209) Data 0.047 (0.054) Loss 2.4537 (2.3069) Prec@1 44.531 (47.475) Prec@5 70.703 (72.731)
Epoch: [67][160/5005] Time 0.218 (0.209) Data 0.042 (0.053) Loss 2.1696 (2.3097) Prec@1 49.609 (47.418) Prec@5 73.828 (72.673)
Epoch: [67][170/5005] Time 0.218 (0.209) Data 0.044 (0.053) Loss 2.4282 (2.3094) Prec@1 47.656 (47.380) Prec@5 73.047 (72.707)
Epoch: [67][180/5005] Time 0.226 (0.210) Data 0.043 (0.052) Loss 2.4770 (2.3087) Prec@1 46.875 (47.369) Prec@5 68.750 (72.732)
Epoch: [67][190/5005] Time 0.218 (0.211) Data 0.047 (0.052) Loss 2.4601 (2.3130) Prec@1 42.578 (47.251) Prec@5 70.703 (72.664)
Epoch: [67][200/5005] Time 0.223 (0.211) Data 0.043 (0.052) Loss 2.4260 (2.3155) Prec@1 47.266 (47.231) Prec@5 71.484 (72.619)
Epoch: [67][210/5005] Time 0.225 (0.212) Data 0.049 (0.051) Loss 2.2178 (2.3159) Prec@1 48.828 (47.221) Prec@5 74.609 (72.580)
Epoch: [67][220/5005] Time 0.224 (0.212) Data 0.048 (0.051) Loss 2.2990 (2.3153) Prec@1 46.094 (47.221) Prec@5 74.219 (72.593)
Epoch: [67][230/5005] Time 0.213 (0.213) Data 0.053 (0.051) Loss 2.4421 (2.3136) Prec@1 43.750 (47.283) Prec@5 71.094 (72.629)
Epoch: [67][240/5005] Time 0.220 (0.213) Data 0.049 (0.051) Loss 2.3976 (2.3142) Prec@1 46.875 (47.241) Prec@5 71.484 (72.634)
Epoch: [67][250/5005] Time 0.212 (0.213) Data 0.051 (0.051) Loss 2.4249 (2.3130) Prec@1 47.266 (47.255) Prec@5 72.656 (72.670)
Epoch: [67][260/5005] Time 0.217 (0.213) Data 0.048 (0.051) Loss 2.1278 (2.3116) Prec@1 50.391 (47.281) Prec@5 75.391 (72.721)
Epoch: [67][270/5005] Time 0.216 (0.213) Data 0.042 (0.051) Loss 2.3655 (2.3117) Prec@1 46.484 (47.254) Prec@5 73.047 (72.738)
Epoch: [67][280/5005] Time 0.214 (0.213) Data 0.044 (0.051) Loss 2.6464 (2.3134) Prec@1 42.578 (47.248) Prec@5 67.578 (72.691)
Epoch: [67][290/5005] Time 0.216 (0.213) Data 0.043 (0.051) Loss 2.2131 (2.3148) Prec@1 49.609 (47.236) Prec@5 72.656 (72.652)
Epoch: [67][300/5005] Time 0.218 (0.213) Data 0.043 (0.050) Loss 2.2434 (2.3145) Prec@1 46.875 (47.245) Prec@5 74.219 (72.665)
Epoch: [67][310/5005] Time 0.215 (0.213) Data 0.043 (0.050) Loss 2.2395 (2.3126) Prec@1 47.656 (47.286) Prec@5 73.047 (72.678)
Epoch: [67][320/5005] Time 0.218 (0.213) Data 0.044 (0.050) Loss 2.5033 (2.3127) Prec@1 42.578 (47.302) Prec@5 70.703 (72.678)
Epoch: [67][330/5005] Time 0.217 (0.213) Data 0.043 (0.050) Loss 1.9766 (2.3100) Prec@1 52.344 (47.353) Prec@5 78.516 (72.728)
Epoch: [67][340/5005] Time 0.216 (0.214) Data 0.043 (0.050) Loss 2.5131 (2.3144) Prec@1 42.188 (47.266) Prec@5 67.578 (72.669)
Epoch: [67][350/5005] Time 0.217 (0.214) Data 0.043 (0.049) Loss 2.3834 (2.3133) Prec@1 46.875 (47.254) Prec@5 69.922 (72.683)
Epoch: [67][360/5005] Time 0.212 (0.214) Data 0.043 (0.049) Loss 2.5074 (2.3141) Prec@1 47.656 (47.253) Prec@5 69.531 (72.645)
Epoch: [67][370/5005] Time 0.214 (0.214) Data 0.043 (0.049) Loss 2.3790 (2.3125) Prec@1 46.094 (47.251) Prec@5 71.875 (72.682)
Epoch: [67][380/5005] Time 0.212 (0.214) Data 0.048 (0.049) Loss 2.4579 (2.3134) Prec@1 46.875 (47.221) Prec@5 69.531 (72.682)
Epoch: [67][390/5005] Time 0.212 (0.214) Data 0.041 (0.049) Loss 2.4009 (2.3139) Prec@1 45.312 (47.202) Prec@5 72.266 (72.680)
Epoch: [67][400/5005] Time 0.216 (0.214) Data 0.048 (0.049) Loss 2.2305 (2.3126) Prec@1 50.000 (47.216) Prec@5 74.609 (72.703)
Epoch: [67][410/5005] Time 0.213 (0.214) Data 0.047 (0.049) Loss 2.0698 (2.3120) Prec@1 51.172 (47.237) Prec@5 77.734 (72.709)
Epoch: [67][420/5005] Time 0.212 (0.214) Data 0.042 (0.049) Loss 2.2603 (2.3105) Prec@1 50.391 (47.280) Prec@5 73.047 (72.744)
Epoch: [67][430/5005] Time 0.218 (0.214) Data 0.043 (0.049) Loss 2.1220 (2.3108) Prec@1 50.391 (47.299) Prec@5 78.125 (72.760)
Epoch: [67][440/5005] Time 0.213 (0.214) Data 0.039 (0.049) Loss 2.2499 (2.3102) Prec@1 49.219 (47.321) Prec@5 72.266 (72.749)
Epoch: [67][450/5005] Time 0.214 (0.214) Data 0.042 (0.048) Loss 2.2002 (2.3108) Prec@1 48.828 (47.293) Prec@5 71.094 (72.731)
Epoch: [67][460/5005] Time 0.218 (0.214) Data 0.043 (0.048) Loss 2.3302 (2.3118) Prec@1 45.312 (47.252) Prec@5 70.312 (72.718)
Epoch: [67][470/5005] Time 0.217 (0.214) Data 0.047 (0.048) Loss 2.3603 (2.3122) Prec@1 43.750 (47.246) Prec@5 71.484 (72.706)
Epoch: [67][480/5005] Time 0.218 (0.214) Data 0.047 (0.048) Loss 2.3146 (2.3126) Prec@1 47.266 (47.258) Prec@5 72.266 (72.687)
Epoch: [67][490/5005] Time 0.209 (0.214) Data 0.046 (0.048) Loss 2.1541 (2.3127) Prec@1 48.828 (47.246) Prec@5 75.391 (72.675)
Epoch: [67][500/5005] Time 0.213 (0.214) Data 0.048 (0.048) Loss 2.4804 (2.3144) Prec@1 45.703 (47.242) Prec@5 69.141 (72.652)
Epoch: [67][510/5005] Time 0.215 (0.214) Data 0.062 (0.048) Loss 2.4289 (2.3149) Prec@1 43.750 (47.240) Prec@5 70.703 (72.620)
Epoch: [67][520/5005] Time 0.217 (0.214) Data 0.043 (0.048) Loss 2.3617 (2.3146) Prec@1 44.141 (47.228) Prec@5 73.047 (72.630)
Epoch: [67][530/5005] Time 0.201 (0.214) Data 0.043 (0.048) Loss 2.2694 (2.3146) Prec@1 53.125 (47.225) Prec@5 73.438 (72.622)
Epoch: [67][540/5005] Time 0.219 (0.214) Data 0.044 (0.048) Loss 2.4553 (2.3157) Prec@1 44.141 (47.188) Prec@5 69.141 (72.593)
Epoch: [67][550/5005] Time 0.214 (0.214) Data 0.043 (0.048) Loss 2.1910 (2.3143) Prec@1 47.266 (47.205) Prec@5 76.562 (72.603)
Epoch: [67][560/5005] Time 0.214 (0.214) Data 0.043 (0.048) Loss 2.4216 (2.3140) Prec@1 44.531 (47.202) Prec@5 73.047 (72.622)
Epoch: [67][570/5005] Time 0.208 (0.214) Data 0.044 (0.048) Loss 2.4080 (2.3150) Prec@1 46.875 (47.179) Prec@5 68.359 (72.587)
Epoch: [67][580/5005] Time 0.207 (0.214) Data 0.050 (0.048) Loss 2.4453 (2.3144) Prec@1 41.016 (47.188) Prec@5 71.094 (72.595)
Epoch: [67][590/5005] Time 0.217 (0.214) Data 0.044 (0.048) Loss 2.5072 (2.3146) Prec@1 42.578 (47.182) Prec@5 67.969 (72.564)
Epoch: [67][600/5005] Time 0.215 (0.214) Data 0.041 (0.048) Loss 2.2488 (2.3156) Prec@1 45.703 (47.180) Prec@5 75.391 (72.551)
Epoch: [67][610/5005] Time 0.211 (0.214) Data 0.048 (0.048) Loss 2.3520 (2.3156) Prec@1 43.750 (47.188) Prec@5 72.656 (72.562)
Epoch: [67][620/5005] Time 0.216 (0.214) Data 0.046 (0.048) Loss 2.1550 (2.3157) Prec@1 51.562 (47.203) Prec@5 76.172 (72.570)
Epoch: [67][630/5005] Time 0.212 (0.214) Data 0.050 (0.048) Loss 2.5859 (2.3161) Prec@1 43.359 (47.199) Prec@5 69.922 (72.571)
Epoch: [67][640/5005] Time 0.211 (0.214) Data 0.047 (0.048) Loss 2.1591 (2.3163) Prec@1 48.438 (47.176) Prec@5 74.609 (72.572)
Epoch: [67][650/5005] Time 0.217 (0.214) Data 0.043 (0.048) Loss 2.3474 (2.3168) Prec@1 46.875 (47.164) Prec@5 71.094 (72.558)
Epoch: [67][660/5005] Time 0.218 (0.214) Data 0.044 (0.048) Loss 2.4400 (2.3164) Prec@1 44.141 (47.176) Prec@5 71.094 (72.578)
Epoch: [67][670/5005] Time 0.224 (0.214) Data 0.042 (0.048) Loss 2.5219 (2.3165) Prec@1 43.359 (47.172) Prec@5 70.312 (72.570)
Epoch: [67][680/5005] Time 0.210 (0.214) Data 0.043 (0.048) Loss 2.2813 (2.3160) Prec@1 51.562 (47.186) Prec@5 76.953 (72.586)
Epoch: [67][690/5005] Time 0.214 (0.214) Data 0.044 (0.047) Loss 2.1733 (2.3154) Prec@1 48.047 (47.188) Prec@5 74.219 (72.597)
Epoch: [67][700/5005] Time 0.214 (0.214) Data 0.046 (0.047) Loss 2.3692 (2.3152) Prec@1 44.922 (47.186) Prec@5 67.969 (72.590)
Epoch: [67][710/5005] Time 0.219 (0.214) Data 0.047 (0.047) Loss 2.1468 (2.3147) Prec@1 46.875 (47.204) Prec@5 74.219 (72.597)
Epoch: [67][720/5005] Time 0.216 (0.214) Data 0.042 (0.047) Loss 2.2118 (2.3141) Prec@1 49.219 (47.208) Prec@5 75.000 (72.602)
Epoch: [67][730/5005] Time 0.214 (0.213) Data 0.042 (0.047) Loss 2.4685 (2.3141) Prec@1 48.438 (47.226) Prec@5 72.656 (72.602)
Epoch: [67][740/5005] Time 0.220 (0.213) Data 0.044 (0.047) Loss 2.4641 (2.3139) Prec@1 44.141 (47.243) Prec@5 69.531 (72.606)
Epoch: [67][750/5005] Time 0.216 (0.214) Data 0.050 (0.047) Loss 2.0560 (2.3137) Prec@1 49.609 (47.236) Prec@5 77.344 (72.607)
Epoch: [67][760/5005] Time 0.221 (0.213) Data 0.043 (0.047) Loss 2.4756 (2.3144) Prec@1 43.359 (47.227) Prec@5 72.656 (72.586)
Epoch: [67][770/5005] Time 0.215 (0.213) Data 0.048 (0.047) Loss 2.3527 (2.3136) Prec@1 43.359 (47.237) Prec@5 69.141 (72.594)
Epoch: [67][780/5005] Time 0.215 (0.213) Data 0.046 (0.047) Loss 2.2608 (2.3131) Prec@1 50.391 (47.254) Prec@5 71.875 (72.589)
Epoch: [67][790/5005] Time 0.210 (0.213) Data 0.068 (0.047) Loss 2.4227 (2.3130) Prec@1 45.703 (47.256) Prec@5 71.484 (72.605)
Epoch: [67][800/5005] Time 0.206 (0.213) Data 0.058 (0.048) Loss 2.1465 (2.3123) Prec@1 49.609 (47.287) Prec@5 74.609 (72.608)
Epoch: [67][810/5005] Time 0.201 (0.213) Data 0.060 (0.048) Loss 2.2950 (2.3125) Prec@1 46.875 (47.288) Prec@5 74.219 (72.603)
Epoch: [67][820/5005] Time 0.201 (0.213) Data 0.044 (0.048) Loss 2.2184 (2.3124) Prec@1 46.875 (47.293) Prec@5 73.438 (72.613)
Epoch: [67][830/5005] Time 0.210 (0.213) Data 0.045 (0.048) Loss 2.1963 (2.3123) Prec@1 46.484 (47.298) Prec@5 74.609 (72.610)
Epoch: [67][840/5005] Time 0.208 (0.213) Data 0.047 (0.048) Loss 2.1671 (2.3125) Prec@1 51.172 (47.298) Prec@5 75.781 (72.614)
Epoch: [67][850/5005] Time 0.212 (0.213) Data 0.048 (0.048) Loss 2.5657 (2.3120) Prec@1 45.703 (47.310) Prec@5 69.141 (72.617)
Epoch: [67][860/5005] Time 0.214 (0.213) Data 0.051 (0.048) Loss 2.3834 (2.3124) Prec@1 46.875 (47.306) Prec@5 69.141 (72.614)
Epoch: [67][870/5005] Time 0.213 (0.213) Data 0.048 (0.048) Loss 2.3244 (2.3112) Prec@1 46.875 (47.327) Prec@5 73.828 (72.634)
Epoch: [67][880/5005] Time 0.208 (0.213) Data 0.052 (0.048) Loss 2.2136 (2.3114) Prec@1 47.266 (47.320) Prec@5 75.391 (72.623)
Epoch: [67][890/5005] Time 0.211 (0.213) Data 0.044 (0.048) Loss 2.5488 (2.3111) Prec@1 44.922 (47.331) Prec@5 70.312 (72.625)
Epoch: [67][900/5005] Time 0.211 (0.213) Data 0.045 (0.048) Loss 2.2446 (2.3110) Prec@1 44.531 (47.318) Prec@5 73.828 (72.620)
Epoch: [67][910/5005] Time 0.211 (0.213) Data 0.041 (0.048) Loss 2.3011 (2.3107) Prec@1 49.609 (47.321) Prec@5 73.438 (72.620)
Epoch: [67][920/5005] Time 0.216 (0.213) Data 0.046 (0.048) Loss 2.3751 (2.3101) Prec@1 46.875 (47.344) Prec@5 72.656 (72.636)
Epoch: [67][930/5005] Time 0.209 (0.213) Data 0.042 (0.048) Loss 2.4658 (2.3097) Prec@1 46.094 (47.360) Prec@5 66.797 (72.636)
Epoch: [67][940/5005] Time 0.215 (0.213) Data 0.042 (0.047) Loss 2.1298 (2.3101) Prec@1 46.875 (47.350) Prec@5 76.172 (72.627)
Epoch: [67][950/5005] Time 0.205 (0.213) Data 0.046 (0.047) Loss 2.3996 (2.3107) Prec@1 49.609 (47.344) Prec@5 68.359 (72.621)
Epoch: [67][960/5005] Time 0.209 (0.213) Data 0.042 (0.047) Loss 2.4135 (2.3108) Prec@1 46.094 (47.333) Prec@5 69.531 (72.625)
Epoch: [67][970/5005] Time 0.203 (0.213) Data 0.044 (0.047) Loss 2.2090 (2.3113) Prec@1 50.781 (47.331) Prec@5 70.703 (72.614)
Epoch: [67][980/5005] Time 0.211 (0.213) Data 0.042 (0.047) Loss 2.3054 (2.3108) Prec@1 44.531 (47.333) Prec@5 73.047 (72.636)
Epoch: [67][990/5005] Time 0.218 (0.213) Data 0.047 (0.047) Loss 2.2844 (2.3111) Prec@1 48.828 (47.319) Prec@5 72.656 (72.635)
Epoch: [67][1000/5005] Time 0.216 (0.213) Data 0.044 (0.047) Loss 2.3727 (2.3112) Prec@1 47.266 (47.321) Prec@5 71.484 (72.637)
Epoch: [67][1010/5005] Time 0.207 (0.213) Data 0.044 (0.047) Loss 2.2618 (2.3107) Prec@1 51.172 (47.326) Prec@5 72.656 (72.642)
Epoch: [67][1020/5005] Time 0.202 (0.214) Data 0.041 (0.047) Loss 2.1372 (2.3111) Prec@1 53.906 (47.322) Prec@5 76.172 (72.633)
Epoch: [67][1030/5005] Time 0.213 (0.214) Data 0.043 (0.047) Loss 2.3237 (2.3107) Prec@1 46.094 (47.332) Prec@5 71.875 (72.639)
Epoch: [67][1040/5005] Time 0.210 (0.214) Data 0.042 (0.047) Loss 2.4540 (2.3106) Prec@1 45.703 (47.333) Prec@5 69.922 (72.646)
Epoch: [67][1050/5005] Time 0.207 (0.214) Data 0.046 (0.047) Loss 2.2865 (2.3105) Prec@1 46.484 (47.321) Prec@5 71.875 (72.646)
Epoch: [67][1060/5005] Time 0.202 (0.214) Data 0.047 (0.047) Loss 2.3217 (2.3109) Prec@1 49.219 (47.313) Prec@5 72.656 (72.642)
Epoch: [67][1070/5005] Time 0.214 (0.214) Data 0.042 (0.047) Loss 2.2743 (2.3109) Prec@1 46.094 (47.309) Prec@5 73.438 (72.641)
Epoch: [67][1080/5005] Time 0.214 (0.214) Data 0.057 (0.047) Loss 2.2950 (2.3115) Prec@1 46.094 (47.299) Prec@5 73.047 (72.630)
Epoch: [67][1090/5005] Time 0.225 (0.214) Data 0.049 (0.047) Loss 2.1666 (2.3112) Prec@1 49.219 (47.298) Prec@5 72.266 (72.630)
Epoch: [67][1100/5005] Time 0.213 (0.214) Data 0.048 (0.047) Loss 2.2382 (2.3109) Prec@1 48.047 (47.300) Prec@5 73.828 (72.633)
Epoch: [67][1110/5005] Time 0.205 (0.214) Data 0.053 (0.047) Loss 2.2794 (2.3107) Prec@1 44.922 (47.310) Prec@5 73.828 (72.642)
Epoch: [67][1120/5005] Time 0.215 (0.214) Data 0.046 (0.047) Loss 2.1456 (2.3098) Prec@1 46.875 (47.324) Prec@5 76.562 (72.656)
Epoch: [67][1130/5005] Time 0.210 (0.214) Data 0.050 (0.047) Loss 2.4186 (2.3100) Prec@1 43.750 (47.318) Prec@5 70.312 (72.645)
Epoch: [67][1140/5005] Time 0.220 (0.213) Data 0.045 (0.047) Loss 2.3292 (2.3097) Prec@1 42.578 (47.314) Prec@5 72.656 (72.653)
Epoch: [67][1150/5005] Time 0.197 (0.213) Data 0.048 (0.047) Loss 2.2920 (2.3094) Prec@1 43.750 (47.321) Prec@5 68.359 (72.654)
Epoch: [67][1160/5005] Time 0.196 (0.213) Data 0.061 (0.048) Loss 2.3990 (2.3095) Prec@1 47.656 (47.322) Prec@5 72.656 (72.653)
Epoch: [67][1170/5005] Time 0.214 (0.213) Data 0.044 (0.048) Loss 2.3192 (2.3092) Prec@1 48.828 (47.322) Prec@5 73.828 (72.652)
Epoch: [67][1180/5005] Time 0.213 (0.213) Data 0.049 (0.048) Loss 2.4045 (2.3092) Prec@1 45.312 (47.319) Prec@5 70.703 (72.647)
Epoch: [67][1190/5005] Time 0.209 (0.213) Data 0.052 (0.048) Loss 2.1053 (2.3089) Prec@1 50.000 (47.319) Prec@5 76.562 (72.652)
Epoch: [67][1200/5005] Time 0.206 (0.213) Data 0.047 (0.048) Loss 2.4627 (2.3092) Prec@1 44.141 (47.310) Prec@5 70.703 (72.648)
Epoch: [67][1210/5005] Time 0.211 (0.213) Data 0.048 (0.048) Loss 2.3614 (2.3097) Prec@1 46.094 (47.311) Prec@5 69.531 (72.639)
Epoch: [67][1220/5005] Time 0.217 (0.213) Data 0.047 (0.048) Loss 2.1800 (2.3096) Prec@1 48.828 (47.310) Prec@5 74.609 (72.638)
Epoch: [67][1230/5005] Time 0.212 (0.213) Data 0.042 (0.048) Loss 2.3028 (2.3100) Prec@1 49.609 (47.296) Prec@5 71.484 (72.632)
Epoch: [67][1240/5005] Time 0.223 (0.213) Data 0.044 (0.048) Loss 2.2879 (2.3101) Prec@1 47.656 (47.295) Prec@5 74.609 (72.629)
Epoch: [67][1250/5005] Time 0.208 (0.213) Data 0.048 (0.048) Loss 2.6118 (2.3107) Prec@1 41.797 (47.287) Prec@5 66.406 (72.616)
Epoch: [67][1260/5005] Time 0.206 (0.213) Data 0.046 (0.048) Loss 2.1343 (2.3103) Prec@1 48.047 (47.287) Prec@5 72.656 (72.618)
Epoch: [67][1270/5005] Time 0.207 (0.213) Data 0.047 (0.048) Loss 2.4090 (2.3108) Prec@1 44.922 (47.282) Prec@5 70.703 (72.611)
Epoch: [67][1280/5005] Time 0.194 (0.213) Data 0.052 (0.048) Loss 2.2560 (2.3110) Prec@1 44.531 (47.276) Prec@5 73.438 (72.608)
Epoch: [67][1290/5005] Time 0.204 (0.213) Data 0.046 (0.048) Loss 2.1618 (2.3106) Prec@1 50.391 (47.284) Prec@5 74.219 (72.609)
Epoch: [67][1300/5005] Time 0.211 (0.213) Data 0.043 (0.048) Loss 2.2204 (2.3105) Prec@1 48.828 (47.289) Prec@5 72.656 (72.610)
Epoch: [67][1310/5005] Time 0.212 (0.213) Data 0.044 (0.048) Loss 2.2952 (2.3105) Prec@1 46.484 (47.283) Prec@5 72.656 (72.618)
Epoch: [67][1320/5005] Time 0.215 (0.213) Data 0.053 (0.048) Loss 2.4344 (2.3107) Prec@1 44.922 (47.281) Prec@5 71.094 (72.614)
Epoch: [67][1330/5005] Time 0.208 (0.213) Data 0.047 (0.048) Loss 2.3609 (2.3108) Prec@1 46.484 (47.281) Prec@5 70.703 (72.613)
Epoch: [67][1340/5005] Time 0.211 (0.213) Data 0.052 (0.048) Loss 2.3038 (2.3105) Prec@1 45.312 (47.279) Prec@5 71.094 (72.614)
Epoch: [67][1350/5005] Time 0.215 (0.213) Data 0.048 (0.048) Loss 2.7216 (2.3108) Prec@1 42.969 (47.276) Prec@5 66.797 (72.615)
Epoch: [67][1360/5005] Time 0.211 (0.213) Data 0.041 (0.048) Loss 2.3276 (2.3107) Prec@1 48.438 (47.281) Prec@5 70.703 (72.616)
Epoch: [67][1370/5005] Time 0.214 (0.213) Data 0.044 (0.048) Loss 2.5030 (2.3105) Prec@1 45.703 (47.282) Prec@5 69.922 (72.613)
Epoch: [67][1380/5005] Time 0.207 (0.213) Data 0.042 (0.048) Loss 2.3799 (2.3101) Prec@1 47.266 (47.296) Prec@5 73.047 (72.623)
Epoch: [67][1390/5005] Time 0.219 (0.213) Data 0.044 (0.048) Loss 2.2008 (2.3101) Prec@1 51.172 (47.299) Prec@5 74.219 (72.614)
Epoch: [67][1400/5005] Time 0.206 (0.213) Data 0.044 (0.048) Loss 2.2930 (2.3095) Prec@1 47.656 (47.306) Prec@5 75.000 (72.622)
Epoch: [67][1410/5005] Time 0.216 (0.213) Data 0.047 (0.048) Loss 2.2546 (2.3093) Prec@1 46.875 (47.312) Prec@5 73.438 (72.626)
Epoch: [67][1420/5005] Time 0.215 (0.213) Data 0.043 (0.048) Loss 2.4769 (2.3093) Prec@1 44.141 (47.310) Prec@5 68.750 (72.626)
Epoch: [67][1430/5005] Time 0.207 (0.213) Data 0.048 (0.048) Loss 2.0442 (2.3091) Prec@1 49.609 (47.315) Prec@5 76.953 (72.628)
Epoch: [67][1440/5005] Time 0.216 (0.213) Data 0.042 (0.048) Loss 1.9974 (2.3087) Prec@1 56.250 (47.319) Prec@5 80.078 (72.634)
Epoch: [67][1450/5005] Time 0.209 (0.213) Data 0.048 (0.048) Loss 2.2424 (2.3086) Prec@1 51.953 (47.320) Prec@5 73.047 (72.637)
Epoch: [67][1460/5005] Time 0.199 (0.213) Data 0.048 (0.048) Loss 2.2886 (2.3084) Prec@1 42.188 (47.323) Prec@5 71.484 (72.640)
Epoch: [67][1470/5005] Time 0.208 (0.213) Data 0.044 (0.048) Loss 2.4606 (2.3083) Prec@1 45.312 (47.328) Prec@5 69.922 (72.642)
Epoch: [67][1480/5005] Time 0.212 (0.213) Data 0.044 (0.047) Loss 2.1165 (2.3083) Prec@1 51.953 (47.329) Prec@5 77.344 (72.643)
Epoch: [67][1490/5005] Time 0.208 (0.213) Data 0.041 (0.047) Loss 2.5168 (2.3083) Prec@1 44.531 (47.320) Prec@5 71.484 (72.650)
Epoch: [67][1500/5005] Time 0.218 (0.213) Data 0.043 (0.047) Loss 2.3695 (2.3080) Prec@1 48.438 (47.331) Prec@5 72.266 (72.654)
Epoch: [67][1510/5005] Time 0.211 (0.213) Data 0.042 (0.047) Loss 2.2453 (2.3079) Prec@1 47.266 (47.334) Prec@5 72.266 (72.651)
Epoch: [67][1520/5005] Time 0.204 (0.213) Data 0.046 (0.047) Loss 2.4874 (2.3076) Prec@1 44.141 (47.334) Prec@5 71.094 (72.653)
Epoch: [67][1530/5005] Time 0.203 (0.213) Data 0.050 (0.047) Loss 2.5600 (2.3077) Prec@1 44.922 (47.331) Prec@5 66.016 (72.650)
Epoch: [67][1540/5005] Time 0.206 (0.213) Data 0.049 (0.047) Loss 2.4254 (2.3080) Prec@1 44.922 (47.329) Prec@5 69.141 (72.643)
Epoch: [67][1550/5005] Time 0.202 (0.213) Data 0.043 (0.047) Loss 2.1891 (2.3076) Prec@1 47.266 (47.334) Prec@5 75.000 (72.649)
Epoch: [67][1560/5005] Time 0.202 (0.213) Data 0.047 (0.047) Loss 2.2577 (2.3078) Prec@1 48.047 (47.332) Prec@5 73.828 (72.648)
Epoch: [67][1570/5005] Time 0.207 (0.213) Data 0.048 (0.047) Loss 2.2114 (2.3074) Prec@1 47.656 (47.340) Prec@5 71.094 (72.653)
Epoch: [67][1580/5005] Time 0.204 (0.213) Data 0.041 (0.047) Loss 2.1713 (2.3076) Prec@1 45.703 (47.332) Prec@5 76.953 (72.651)
Epoch: [67][1590/5005] Time 0.222 (0.212) Data 0.043 (0.047) Loss 2.2218 (2.3075) Prec@1 48.828 (47.327) Prec@5 69.141 (72.645)
Epoch: [67][1600/5005] Time 0.205 (0.212) Data 0.047 (0.047) Loss 2.4567 (2.3079) Prec@1 46.484 (47.321) Prec@5 73.047 (72.642)
Epoch: [67][1610/5005] Time 0.207 (0.212) Data 0.039 (0.047) Loss 2.3263 (2.3077) Prec@1 44.922 (47.326) Prec@5 72.266 (72.646)
Epoch: [67][1620/5005] Time 0.189 (0.212) Data 0.062 (0.047) Loss 2.4291 (2.3074) Prec@1 44.141 (47.325) Prec@5 67.969 (72.649)
Epoch: [67][1630/5005] Time 0.210 (0.212) Data 0.042 (0.047) Loss 2.1825 (2.3074) Prec@1 48.047 (47.333) Prec@5 76.172 (72.647)
Epoch: [67][1640/5005] Time 0.217 (0.212) Data 0.042 (0.047) Loss 2.3971 (2.3077) Prec@1 47.266 (47.334) Prec@5 71.875 (72.638)
Epoch: [67][1650/5005] Time 0.211 (0.212) Data 0.042 (0.047) Loss 2.5096 (2.3076) Prec@1 44.141 (47.332) Prec@5 66.797 (72.641)
Epoch: [67][1660/5005] Time 0.209 (0.212) Data 0.046 (0.047) Loss 2.2257 (2.3073) Prec@1 51.562 (47.348) Prec@5 73.047 (72.644)
Epoch: [67][1670/5005] Time 0.215 (0.212) Data 0.041 (0.047) Loss 2.1249 (2.3072) Prec@1 52.734 (47.352) Prec@5 76.562 (72.645)
Epoch: [67][1680/5005] Time 0.204 (0.212) Data 0.040 (0.047) Loss 2.5108 (2.3074) Prec@1 46.094 (47.347) Prec@5 68.359 (72.642)
Epoch: [67][1690/5005] Time 0.209 (0.212) Data 0.044 (0.047) Loss 2.1500 (2.3071) Prec@1 50.781 (47.350) Prec@5 76.172 (72.651)
Epoch: [67][1700/5005] Time 0.203 (0.212) Data 0.046 (0.047) Loss 2.0737 (2.3065) Prec@1 50.391 (47.356) Prec@5 74.609 (72.653)
Epoch: [67][1710/5005] Time 0.218 (0.212) Data 0.047 (0.047) Loss 2.3176 (2.3060) Prec@1 42.578 (47.356) Prec@5 74.219 (72.663)
Epoch: [67][1720/5005] Time 0.208 (0.212) Data 0.043 (0.047) Loss 2.3054 (2.3060) Prec@1 48.047 (47.358) Prec@5 74.219 (72.673)
Epoch: [67][1730/5005] Time 0.209 (0.212) Data 0.040 (0.047) Loss 2.2973 (2.3058) Prec@1 44.531 (47.357) Prec@5 72.266 (72.680)
Epoch: [67][1740/5005] Time 0.215 (0.212) Data 0.052 (0.047) Loss 2.3402 (2.3055) Prec@1 45.703 (47.357) Prec@5 71.094 (72.689)
Epoch: [67][1750/5005] Time 0.212 (0.212) Data 0.049 (0.047) Loss 2.3632 (2.3053) Prec@1 42.188 (47.355) Prec@5 67.578 (72.692)
Epoch: [67][1760/5005] Time 0.205 (0.212) Data 0.044 (0.047) Loss 2.1899 (2.3050) Prec@1 50.391 (47.367) Prec@5 75.391 (72.702)
Epoch: [67][1770/5005] Time 0.211 (0.212) Data 0.043 (0.047) Loss 2.3606 (2.3048) Prec@1 44.531 (47.367) Prec@5 70.703 (72.707)
Epoch: [67][1780/5005] Time 0.220 (0.212) Data 0.041 (0.047) Loss 2.1601 (2.3046) Prec@1 51.562 (47.368) Prec@5 75.000 (72.709)
Epoch: [67][1790/5005] Time 0.210 (0.212) Data 0.042 (0.047) Loss 2.1514 (2.3041) Prec@1 51.562 (47.371) Prec@5 72.266 (72.713)
Epoch: [67][1800/5005] Time 0.219 (0.212) Data 0.046 (0.047) Loss 2.2749 (2.3039) Prec@1 48.047 (47.380) Prec@5 70.312 (72.716)
Epoch: [67][1810/5005] Time 0.209 (0.212) Data 0.039 (0.047) Loss 2.1609 (2.3038) Prec@1 49.609 (47.379) Prec@5 75.391 (72.719)
Epoch: [67][1820/5005] Time 0.215 (0.212) Data 0.044 (0.047) Loss 2.4287 (2.3038) Prec@1 45.703 (47.380) Prec@5 69.141 (72.713)
Epoch: [67][1830/5005] Time 0.212 (0.212) Data 0.044 (0.047) Loss 2.0873 (2.3034) Prec@1 50.391 (47.384) Prec@5 75.391 (72.718)
Epoch: [67][1840/5005] Time 0.207 (0.212) Data 0.049 (0.047) Loss 2.3809 (2.3034) Prec@1 44.141 (47.382) Prec@5 71.484 (72.719)
Epoch: [67][1850/5005] Time 0.211 (0.212) Data 0.043 (0.047) Loss 2.2802 (2.3030) Prec@1 48.438 (47.391) Prec@5 73.828 (72.724)
Epoch: [67][1860/5005] Time 0.198 (0.212) Data 0.061 (0.047) Loss 2.3602 (2.3030) Prec@1 46.875 (47.391) Prec@5 69.922 (72.723)
Epoch: [67][1870/5005] Time 0.210 (0.212) Data 0.044 (0.047) Loss 2.5099 (2.3031) Prec@1 45.312 (47.387) Prec@5 66.797 (72.720)
Epoch: [67][1880/5005] Time 0.211 (0.212) Data 0.045 (0.047) Loss 2.3484 (2.3031) Prec@1 42.969 (47.386) Prec@5 71.094 (72.715)
Epoch: [67][1890/5005] Time 0.207 (0.212) Data 0.051 (0.047) Loss 2.2966 (2.3029) Prec@1 49.219 (47.388) Prec@5 74.219 (72.717)
Epoch: [67][1900/5005] Time 0.192 (0.212) Data 0.064 (0.047) Loss 2.3388 (2.3035) Prec@1 45.703 (47.376) Prec@5 75.000 (72.714)
Epoch: [67][1910/5005] Time 0.217 (0.212) Data 0.046 (0.047) Loss 2.1815 (2.3033) Prec@1 48.438 (47.382) Prec@5 77.344 (72.716)
Epoch: [67][1920/5005] Time 0.209 (0.212) Data 0.042 (0.047) Loss 2.1555 (2.3032) Prec@1 46.875 (47.379) Prec@5 76.562 (72.717)
Epoch: [67][1930/5005] Time 0.207 (0.212) Data 0.044 (0.047) Loss 2.1477 (2.3032) Prec@1 53.125 (47.385) Prec@5 75.000 (72.717)
Epoch: [67][1940/5005] Time 0.214 (0.212) Data 0.043 (0.047) Loss 2.0425 (2.3027) Prec@1 52.344 (47.388) Prec@5 76.172 (72.721)
Epoch: [67][1950/5005] Time 0.200 (0.212) Data 0.047 (0.047) Loss 2.2736 (2.3024) Prec@1 46.484 (47.394) Prec@5 73.828 (72.725)
Epoch: [67][1960/5005] Time 0.212 (0.212) Data 0.043 (0.047) Loss 2.2425 (2.3021) Prec@1 48.047 (47.400) Prec@5 75.781 (72.733)
Epoch: [67][1970/5005] Time 0.194 (0.213) Data 0.047 (0.047) Loss 2.2074 (2.3021) Prec@1 51.562 (47.399) Prec@5 74.219 (72.729)
Epoch: [67][1980/5005] Time 0.210 (0.212) Data 0.050 (0.047) Loss 2.0183 (2.3018) Prec@1 50.391 (47.408) Prec@5 76.562 (72.736)
Epoch: [67][1990/5005] Time 0.206 (0.212) Data 0.043 (0.047) Loss 2.1485 (2.3016) Prec@1 55.469 (47.412) Prec@5 73.047 (72.739)
Epoch: [67][2000/5005] Time 0.191 (0.212) Data 0.046 (0.047) Loss 2.2770 (2.3021) Prec@1 48.438 (47.406) Prec@5 72.656 (72.732)
Epoch: [67][2010/5005] Time 0.201 (0.212) Data 0.049 (0.047) Loss 2.2151 (2.3023) Prec@1 44.141 (47.398) Prec@5 73.047 (72.726)
Epoch: [67][2020/5005] Time 0.198 (0.212) Data 0.062 (0.047) Loss 2.3052 (2.3024) Prec@1 47.266 (47.400) Prec@5 73.828 (72.726)
Epoch: [67][2030/5005] Time 0.204 (0.212) Data 0.044 (0.047) Loss 2.3368 (2.3025) Prec@1 44.922 (47.398) Prec@5 73.828 (72.723)
Epoch: [67][2040/5005] Time 0.210 (0.212) Data 0.047 (0.047) Loss 2.1150 (2.3023) Prec@1 50.000 (47.400) Prec@5 76.562 (72.727)
Epoch: [67][2050/5005] Time 0.210 (0.212) Data 0.043 (0.047) Loss 2.3404 (2.3021) Prec@1 46.875 (47.405) Prec@5 73.438 (72.728)
Epoch: [67][2060/5005] Time 0.214 (0.212) Data 0.044 (0.047) Loss 2.2119 (2.3020) Prec@1 49.219 (47.403) Prec@5 76.172 (72.731)
Epoch: [67][2070/5005] Time 0.211 (0.212) Data 0.041 (0.047) Loss 2.4217 (2.3024) Prec@1 47.266 (47.399) Prec@5 71.484 (72.728)
Epoch: [67][2080/5005] Time 0.215 (0.212) Data 0.044 (0.047) Loss 2.3339 (2.3024) Prec@1 46.484 (47.394) Prec@5 73.438 (72.729)
Epoch: [67][2090/5005] Time 0.217 (0.212) Data 0.046 (0.047) Loss 2.2491 (2.3018) Prec@1 49.219 (47.403) Prec@5 72.656 (72.738)
Epoch: [67][2100/5005] Time 0.214 (0.212) Data 0.051 (0.047) Loss 2.3317 (2.3017) Prec@1 46.094 (47.404) Prec@5 71.094 (72.732)
Epoch: [67][2110/5005] Time 0.215 (0.212) Data 0.042 (0.047) Loss 2.1345 (2.3017) Prec@1 50.781 (47.406) Prec@5 76.562 (72.734)
Epoch: [67][2120/5005] Time 0.211 (0.212) Data 0.043 (0.047) Loss 2.4319 (2.3016) Prec@1 48.828 (47.409) Prec@5 70.703 (72.739)
Epoch: [67][2130/5005] Time 0.215 (0.212) Data 0.043 (0.047) Loss 2.3550 (2.3013) Prec@1 48.828 (47.414) Prec@5 71.484 (72.743)
Epoch: [67][2140/5005] Time 0.206 (0.212) Data 0.042 (0.047) Loss 2.1938 (2.3013) Prec@1 49.219 (47.417) Prec@5 72.656 (72.740)
Epoch: [67][2150/5005] Time 0.213 (0.212) Data 0.050 (0.047) Loss 2.1011 (2.3013) Prec@1 49.609 (47.416) Prec@5 74.609 (72.737)
Epoch: [67][2160/5005] Time 0.210 (0.212) Data 0.046 (0.047) Loss 2.2590 (2.3012) Prec@1 46.875 (47.412) Prec@5 74.609 (72.742)
Epoch: [67][2170/5005] Time 0.204 (0.212) Data 0.046 (0.047) Loss 2.3090 (2.3010) Prec@1 44.531 (47.416) Prec@5 74.219 (72.747)
Epoch: [67][2180/5005] Time 0.201 (0.212) Data 0.048 (0.047) Loss 2.2790 (2.3009) Prec@1 48.828 (47.416) Prec@5 71.094 (72.750)
Epoch: [67][2190/5005] Time 0.194 (0.212) Data 0.046 (0.047) Loss 2.5993 (2.3010) Prec@1 42.969 (47.417) Prec@5 65.234 (72.749)
Epoch: [67][2200/5005] Time 0.197 (0.212) Data 0.048 (0.047) Loss 2.3565 (2.3010) Prec@1 46.875 (47.414) Prec@5 69.922 (72.746)
Epoch: [67][2210/5005] Time 0.209 (0.212) Data 0.046 (0.047) Loss 2.3814 (2.3013) Prec@1 46.094 (47.411) Prec@5 72.266 (72.745)
Epoch: [67][2220/5005] Time 0.209 (0.212) Data 0.049 (0.047) Loss 2.3205 (2.3011) Prec@1 47.656 (47.413) Prec@5 70.312 (72.743)
Epoch: [67][2230/5005] Time 0.208 (0.212) Data 0.050 (0.047) Loss 2.1750 (2.3010) Prec@1 48.047 (47.412) Prec@5 76.562 (72.742)
Epoch: [67][2240/5005] Time 0.204 (0.212) Data 0.042 (0.047) Loss 2.3334 (2.3011) Prec@1 50.000 (47.412) Prec@5 74.609 (72.741)
Epoch: [67][2250/5005] Time 0.211 (0.212) Data 0.044 (0.047) Loss 2.1469 (2.3011) Prec@1 48.828 (47.413) Prec@5 75.781 (72.740)
Epoch: [67][2260/5005] Time 0.210 (0.212) Data 0.043 (0.047) Loss 2.3116 (2.3008) Prec@1 47.656 (47.412) Prec@5 72.266 (72.742)
Epoch: [67][2270/5005] Time 0.214 (0.212) Data 0.046 (0.047) Loss 2.4819 (2.3006) Prec@1 44.141 (47.416) Prec@5 72.656 (72.745)
Epoch: [67][2280/5005] Time 0.207 (0.212) Data 0.052 (0.047) Loss 2.4316 (2.3005) Prec@1 47.266 (47.418) Prec@5 73.828 (72.749)
Epoch: [67][2290/5005] Time 0.211 (0.212) Data 0.047 (0.047) Loss 2.1931 (2.3004) Prec@1 48.828 (47.419) Prec@5 76.953 (72.751)
Epoch: [67][2300/5005] Time 0.222 (0.212) Data 0.046 (0.047) Loss 2.2184 (2.3005) Prec@1 49.609 (47.421) Prec@5 73.047 (72.751)
Epoch: [67][2310/5005] Time 0.214 (0.212) Data 0.042 (0.047) Loss 2.1219 (2.3004) Prec@1 50.391 (47.427) Prec@5 76.562 (72.755)
Epoch: [67][2320/5005] Time 0.219 (0.212) Data 0.043 (0.047) Loss 2.4000 (2.3004) Prec@1 41.406 (47.428) Prec@5 69.922 (72.754)
Epoch: [67][2330/5005] Time 0.208 (0.212) Data 0.049 (0.047) Loss 2.3085 (2.3002) Prec@1 51.172 (47.434) Prec@5 75.391 (72.759)
Epoch: [67][2340/5005] Time 0.199 (0.212) Data 0.045 (0.047) Loss 2.1841 (2.3000) Prec@1 48.438 (47.436) Prec@5 73.438 (72.763)
Epoch: [67][2350/5005] Time 0.196 (0.212) Data 0.049 (0.047) Loss 2.2509 (2.2998) Prec@1 48.438 (47.440) Prec@5 69.922 (72.765)
Epoch: [67][2360/5005] Time 0.205 (0.212) Data 0.048 (0.047) Loss 2.1995 (2.2998) Prec@1 51.172 (47.439) Prec@5 73.828 (72.765)
Epoch: [67][2370/5005] Time 0.205 (0.212) Data 0.061 (0.047) Loss 2.4194 (2.2998) Prec@1 40.625 (47.436) Prec@5 73.438 (72.765)
Epoch: [67][2380/5005] Time 0.216 (0.212) Data 0.042 (0.047) Loss 2.1598 (2.2996) Prec@1 46.875 (47.437) Prec@5 74.219 (72.765)
Epoch: [67][2390/5005] Time 0.211 (0.212) Data 0.043 (0.047) Loss 2.2629 (2.2994) Prec@1 48.047 (47.444) Prec@5 71.094 (72.766)
Epoch: [67][2400/5005] Time 0.203 (0.212) Data 0.049 (0.047) Loss 2.3377 (2.2992) Prec@1 45.703 (47.443) Prec@5 71.875 (72.772)
Epoch: [67][2410/5005] Time 0.208 (0.212) Data 0.051 (0.047) Loss 2.4298 (2.2991) Prec@1 41.797 (47.443) Prec@5 69.141 (72.773)
Epoch: [67][2420/5005] Time 0.204 (0.212) Data 0.054 (0.047) Loss 2.3201 (2.2990) Prec@1 46.484 (47.445) Prec@5 73.828 (72.774)
Epoch: [67][2430/5005] Time 0.210 (0.212) Data 0.047 (0.047) Loss 2.1268 (2.2991) Prec@1 51.953 (47.444) Prec@5 74.609 (72.774)
Epoch: [67][2440/5005] Time 0.216 (0.212) Data 0.043 (0.047) Loss 2.0978 (2.2990) Prec@1 52.344 (47.449) Prec@5 77.344 (72.775)
Epoch: [67][2450/5005] Time 0.211 (0.212) Data 0.041 (0.047) Loss 2.2267 (2.2988) Prec@1 50.391 (47.453) Prec@5 74.219 (72.781)
Epoch: [67][2460/5005] Time 0.209 (0.212) Data 0.056 (0.047) Loss 2.3979 (2.2986) Prec@1 45.312 (47.452) Prec@5 71.484 (72.782)
Epoch: [67][2470/5005] Time 0.208 (0.212) Data 0.048 (0.047) Loss 1.9763 (2.2984) Prec@1 56.641 (47.459) Prec@5 75.391 (72.784)
Epoch: [67][2480/5005] Time 0.202 (0.212) Data 0.044 (0.047) Loss 2.3184 (2.2984) Prec@1 48.047 (47.460) Prec@5 71.094 (72.782)
Epoch: [67][2490/5005] Time 0.211 (0.212) Data 0.043 (0.047) Loss 2.1695 (2.2984) Prec@1 51.953 (47.460) Prec@5 76.562 (72.781)
Epoch: [67][2500/5005] Time 0.203 (0.212) Data 0.041 (0.047) Loss 2.3556 (2.2984) Prec@1 45.312 (47.458) Prec@5 68.750 (72.782)
Epoch: [67][2510/5005] Time 0.208 (0.212) Data 0.043 (0.047) Loss 2.3837 (2.2985) Prec@1 44.141 (47.459) Prec@5 73.047 (72.777)
Epoch: [67][2520/5005] Time 0.209 (0.212) Data 0.045 (0.047) Loss 2.2624 (2.2986) Prec@1 51.953 (47.464) Prec@5 73.438 (72.776)
Epoch: [67][2530/5005] Time 0.209 (0.212) Data 0.045 (0.047) Loss 2.5172 (2.2987) Prec@1 44.141 (47.462) Prec@5 67.969 (72.773)
Epoch: [67][2540/5005] Time 0.213 (0.212) Data 0.044 (0.047) Loss 2.2844 (2.2985) Prec@1 45.312 (47.465) Prec@5 75.000 (72.777)
Epoch: [67][2550/5005] Time 0.213 (0.212) Data 0.043 (0.047) Loss 2.3869 (2.2985) Prec@1 47.266 (47.467) Prec@5 73.828 (72.782)
Epoch: [67][2560/5005] Time 0.203 (0.212) Data 0.046 (0.047) Loss 2.5160 (2.2986) Prec@1 42.188 (47.465) Prec@5 68.750 (72.778)
Epoch: [67][2570/5005] Time 0.212 (0.212) Data 0.064 (0.047) Loss 2.3935 (2.2989) Prec@1 43.359 (47.461) Prec@5 72.656 (72.773)
Epoch: [67][2580/5005] Time 0.203 (0.212) Data 0.048 (0.047) Loss 2.4408 (2.2995) Prec@1 47.266 (47.452) Prec@5 68.750 (72.763)
Epoch: [67][2590/5005] Time 0.205 (0.211) Data 0.048 (0.047) Loss 2.3524 (2.2992) Prec@1 46.094 (47.458) Prec@5 73.047 (72.765)
Epoch: [67][2600/5005] Time 0.212 (0.211) Data 0.066 (0.047) Loss 2.4186 (2.2994) Prec@1 44.531 (47.457) Prec@5 73.047 (72.762)
Epoch: [67][2610/5005] Time 0.207 (0.211) Data 0.065 (0.047) Loss 2.2998 (2.2992) Prec@1 46.484 (47.459) Prec@5 75.000 (72.767)
Epoch: [67][2620/5005] Time 0.210 (0.211) Data 0.053 (0.047) Loss 2.1743 (2.2991) Prec@1 51.172 (47.465) Prec@5 75.391 (72.772)
Epoch: [67][2630/5005] Time 0.209 (0.211) Data 0.043 (0.047) Loss 2.4426 (2.2994) Prec@1 46.094 (47.461) Prec@5 73.047 (72.766)
Epoch: [67][2640/5005] Time 0.215 (0.211) Data 0.043 (0.047) Loss 2.4142 (2.2995) Prec@1 46.094 (47.458) Prec@5 68.750 (72.765)
Epoch: [67][2650/5005] Time 0.212 (0.211) Data 0.044 (0.047) Loss 2.6019 (2.2996) Prec@1 39.453 (47.454) Prec@5 68.750 (72.763)
Epoch: [67][2660/5005] Time 0.209 (0.211) Data 0.043 (0.047) Loss 2.2932 (2.2996) Prec@1 47.266 (47.454) Prec@5 71.875 (72.761)
Epoch: [67][2670/5005] Time 0.200 (0.211) Data 0.050 (0.047) Loss 2.0900 (2.2994) Prec@1 51.562 (47.458) Prec@5 73.828 (72.759)
Epoch: [67][2680/5005] Time 0.211 (0.211) Data 0.042 (0.047) Loss 2.1141 (2.2994) Prec@1 54.688 (47.460) Prec@5 75.000 (72.762)
Epoch: [67][2690/5005] Time 0.203 (0.211) Data 0.048 (0.047) Loss 2.1464 (2.2992) Prec@1 50.391 (47.462) Prec@5 75.000 (72.764)
Epoch: [67][2700/5005] Time 0.207 (0.211) Data 0.057 (0.047) Loss 2.3030 (2.2993) Prec@1 46.875 (47.456) Prec@5 71.875 (72.768)
Epoch: [67][2710/5005] Time 0.212 (0.211) Data 0.043 (0.047) Loss 2.2309 (2.2996) Prec@1 49.609 (47.448) Prec@5 74.219 (72.764)
Epoch: [67][2720/5005] Time 0.213 (0.211) Data 0.042 (0.047) Loss 2.2104 (2.2996) Prec@1 50.391 (47.448) Prec@5 74.609 (72.764)
Epoch: [67][2730/5005] Time 0.213 (0.211) Data 0.044 (0.047) Loss 2.3676 (2.2994) Prec@1 46.875 (47.452) Prec@5 71.875 (72.766)
Epoch: [67][2740/5005] Time 0.215 (0.211) Data 0.044 (0.047) Loss 2.2398 (2.2993) Prec@1 50.000 (47.457) Prec@5 71.875 (72.762)
Epoch: [67][2750/5005] Time 0.207 (0.211) Data 0.048 (0.047) Loss 2.2350 (2.2992) Prec@1 47.656 (47.460) Prec@5 71.875 (72.764)
Epoch: [67][2760/5005] Time 0.213 (0.211) Data 0.042 (0.047) Loss 2.3328 (2.2991) Prec@1 48.438 (47.464) Prec@5 73.438 (72.767)
Epoch: [67][2770/5005] Time 0.215 (0.211) Data 0.046 (0.047) Loss 2.2294 (2.2991) Prec@1 49.609 (47.468) Prec@5 74.609 (72.765)
Epoch: [67][2780/5005] Time 0.206 (0.211) Data 0.044 (0.047) Loss 2.4564 (2.2991) Prec@1 44.922 (47.470) Prec@5 71.484 (72.766)
Epoch: [67][2790/5005] Time 0.204 (0.211) Data 0.044 (0.047) Loss 2.6072 (2.2992) Prec@1 36.719 (47.466) Prec@5 66.797 (72.765)
Epoch: [67][2800/5005] Time 0.217 (0.211) Data 0.041 (0.047) Loss 2.0330 (2.2993) Prec@1 51.953 (47.467) Prec@5 76.562 (72.766)
Epoch: [67][2810/5005] Time 0.215 (0.211) Data 0.048 (0.047) Loss 2.3988 (2.2993) Prec@1 47.656 (47.469) Prec@5 70.312 (72.765)
Epoch: [67][2820/5005] Time 0.203 (0.211) Data 0.060 (0.047) Loss 2.0476 (2.2993) Prec@1 49.219 (47.470) Prec@5 76.562 (72.765)
Epoch: [67][2830/5005] Time 0.207 (0.211) Data 0.051 (0.047) Loss 2.5611 (2.2995) Prec@1 44.141 (47.463) Prec@5 68.750 (72.765)
Epoch: [67][2840/5005] Time 0.203 (0.211) Data 0.065 (0.047) Loss 2.2722 (2.2994) Prec@1 47.266 (47.465) Prec@5 74.609 (72.765)
Epoch: [67][2850/5005] Time 0.207 (0.211) Data 0.041 (0.047) Loss 2.3327 (2.2993) Prec@1 49.219 (47.468) Prec@5 71.484 (72.768)
Epoch: [67][2860/5005] Time 0.205 (0.211) Data 0.042 (0.047) Loss 2.2077 (2.2994) Prec@1 49.219 (47.469) Prec@5 73.438 (72.765)
Epoch: [67][2870/5005] Time 0.210 (0.211) Data 0.044 (0.047) Loss 2.1219 (2.2992) Prec@1 52.344 (47.477) Prec@5 79.297 (72.769)
Epoch: [67][2880/5005] Time 0.214 (0.211) Data 0.043 (0.047) Loss 2.2453 (2.2993) Prec@1 46.484 (47.476) Prec@5 76.562 (72.768)
Epoch: [67][2890/5005] Time 0.207 (0.211) Data 0.063 (0.047) Loss 2.2030 (2.2991) Prec@1 46.484 (47.480) Prec@5 75.781 (72.772)
Epoch: [67][2900/5005] Time 0.207 (0.211) Data 0.052 (0.047) Loss 2.0444 (2.2989) Prec@1 47.656 (47.479) Prec@5 77.734 (72.776)
Epoch: [67][2910/5005] Time 0.197 (0.211) Data 0.051 (0.047) Loss 2.1189 (2.2989) Prec@1 51.172 (47.478) Prec@5 76.172 (72.774)
Epoch: [67][2920/5005] Time 0.203 (0.211) Data 0.049 (0.047) Loss 2.3765 (2.2990) Prec@1 45.703 (47.478) Prec@5 69.531 (72.772)
Epoch: [67][2930/5005] Time 0.195 (0.211) Data 0.045 (0.047) Loss 2.4451 (2.2990) Prec@1 46.484 (47.480) Prec@5 70.312 (72.771)
Epoch: [67][2940/5005] Time 0.199 (0.211) Data 0.059 (0.047) Loss 2.4891 (2.2988) Prec@1 42.969 (47.484) Prec@5 69.141 (72.775)
Epoch: [67][2950/5005] Time 0.198 (0.211) Data 0.050 (0.047) Loss 2.4236 (2.2986) Prec@1 46.484 (47.488) Prec@5 73.438 (72.781)
Epoch: [67][2960/5005] Time 0.211 (0.211) Data 0.051 (0.047) Loss 2.2593 (2.2985) Prec@1 49.219 (47.488) Prec@5 71.094 (72.779)
Epoch: [67][2970/5005] Time 0.210 (0.211) Data 0.057 (0.047) Loss 2.2417 (2.2983) Prec@1 44.141 (47.491) Prec@5 75.391 (72.787)
Epoch: [67][2980/5005] Time 0.212 (0.211) Data 0.048 (0.047) Loss 2.4381 (2.2983) Prec@1 46.094 (47.493) Prec@5 70.703 (72.786)
Epoch: [67][2990/5005] Time 0.213 (0.211) Data 0.045 (0.047) Loss 2.1947 (2.2982) Prec@1 50.781 (47.493) Prec@5 77.734 (72.789)
Epoch: [67][3000/5005] Time 0.206 (0.211) Data 0.042 (0.047) Loss 2.2938 (2.2981) Prec@1 44.531 (47.493) Prec@5 73.438 (72.789)
Epoch: [67][3010/5005] Time 0.209 (0.211) Data 0.041 (0.047) Loss 2.1475 (2.2981) Prec@1 48.438 (47.493) Prec@5 77.734 (72.787)
Epoch: [67][3020/5005] Time 0.210 (0.211) Data 0.044 (0.047) Loss 2.2475 (2.2983) Prec@1 45.703 (47.489) Prec@5 73.828 (72.784)
Epoch: [67][3030/5005] Time 0.200 (0.211) Data 0.044 (0.047) Loss 2.2916 (2.2983) Prec@1 48.047 (47.489) Prec@5 73.047 (72.784)
Epoch: [67][3040/5005] Time 0.210 (0.211) Data 0.049 (0.047) Loss 2.2122 (2.2983) Prec@1 48.828 (47.492) Prec@5 76.953 (72.786)
Epoch: [67][3050/5005] Time 0.204 (0.211) Data 0.042 (0.047) Loss 2.2490 (2.2983) Prec@1 42.578 (47.491) Prec@5 74.609 (72.787)
Epoch: [67][3060/5005] Time 0.207 (0.211) Data 0.059 (0.047) Loss 2.1388 (2.2981) Prec@1 52.734 (47.491) Prec@5 77.344 (72.791)
Epoch: [67][3070/5005] Time 0.208 (0.211) Data 0.056 (0.047) Loss 2.3031 (2.2983) Prec@1 46.875 (47.486) Prec@5 71.484 (72.789)
Epoch: [67][3080/5005] Time 0.204 (0.211) Data 0.046 (0.047) Loss 2.3293 (2.2983) Prec@1 44.141 (47.483) Prec@5 72.266 (72.788)
Epoch: [67][3090/5005] Time 0.216 (0.211) Data 0.049 (0.047) Loss 2.5587 (2.2982) Prec@1 42.188 (47.484) Prec@5 67.188 (72.791)
Epoch: [67][3100/5005] Time 0.211 (0.211) Data 0.043 (0.047) Loss 2.2904 (2.2983) Prec@1 48.828 (47.479) Prec@5 70.312 (72.788)
Epoch: [67][3110/5005] Time 0.214 (0.211) Data 0.051 (0.047) Loss 2.1767 (2.2980) Prec@1 47.656 (47.482) Prec@5 77.344 (72.791)
Epoch: [67][3120/5005] Time 0.204 (0.211) Data 0.048 (0.047) Loss 2.3351 (2.2979) Prec@1 43.750 (47.482) Prec@5 74.609 (72.789)
Epoch: [67][3130/5005] Time 0.200 (0.211) Data 0.042 (0.047) Loss 2.4352 (2.2979) Prec@1 45.312 (47.485) Prec@5 70.703 (72.791)
Epoch: [67][3140/5005] Time 0.210 (0.211) Data 0.042 (0.047) Loss 2.0955 (2.2977) Prec@1 55.078 (47.490) Prec@5 74.609 (72.794)
Epoch: [67][3150/5005] Time 0.204 (0.211) Data 0.063 (0.047) Loss 2.4707 (2.2976) Prec@1 42.578 (47.491) Prec@5 69.922 (72.794)
Epoch: [67][3160/5005] Time 0.203 (0.211) Data 0.041 (0.047) Loss 2.0880 (2.2976) Prec@1 50.000 (47.496) Prec@5 78.906 (72.797)
Epoch: [67][3170/5005] Time 0.209 (0.211) Data 0.048 (0.047) Loss 2.3709 (2.2976) Prec@1 46.094 (47.498) Prec@5 69.531 (72.796)
Epoch: [67][3180/5005] Time 0.211 (0.211) Data 0.048 (0.047) Loss 2.1350 (2.2977) Prec@1 53.906 (47.498) Prec@5 76.172 (72.793)
Epoch: [67][3190/5005] Time 0.214 (0.211) Data 0.044 (0.047) Loss 2.2631 (2.2977) Prec@1 49.609 (47.500) Prec@5 73.438 (72.795)
Epoch: [67][3200/5005] Time 0.213 (0.211) Data 0.043 (0.047) Loss 2.3643 (2.2977) Prec@1 46.094 (47.498) Prec@5 71.094 (72.795)
Epoch: [67][3210/5005] Time 0.210 (0.211) Data 0.042 (0.047) Loss 2.4492 (2.2976) Prec@1 45.703 (47.503) Prec@5 68.750 (72.798)
Epoch: [67][3220/5005] Time 0.196 (0.211) Data 0.057 (0.047) Loss 2.3219 (2.2976) Prec@1 48.828 (47.506) Prec@5 72.266 (72.799)
Epoch: [67][3230/5005] Time 0.209 (0.211) Data 0.043 (0.047) Loss 2.1679 (2.2973) Prec@1 50.391 (47.511) Prec@5 75.000 (72.801)
Epoch: [67][3240/5005] Time 0.200 (0.211) Data 0.052 (0.047) Loss 2.4888 (2.2976) Prec@1 41.406 (47.506) Prec@5 73.047 (72.798)
Epoch: [67][3250/5005] Time 0.198 (0.211) Data 0.050 (0.047) Loss 2.2382 (2.2977) Prec@1 49.219 (47.506) Prec@5 74.219 (72.797)
Epoch: [67][3260/5005] Time 0.203 (0.211) Data 0.041 (0.047) Loss 2.1324 (2.2978) Prec@1 50.000 (47.503) Prec@5 75.781 (72.797)
Epoch: [67][3270/5005] Time 0.208 (0.211) Data 0.052 (0.047) Loss 2.3696 (2.2976) Prec@1 46.875 (47.504) Prec@5 71.484 (72.800)
Epoch: [67][3280/5005] Time 0.214 (0.211) Data 0.042 (0.047) Loss 2.2613 (2.2977) Prec@1 48.828 (47.499) Prec@5 73.047 (72.796)
Epoch: [67][3290/5005] Time 0.208 (0.211) Data 0.044 (0.047) Loss 2.3264 (2.2977) Prec@1 47.656 (47.500) Prec@5 70.703 (72.795)
Epoch: [67][3300/5005] Time 0.214 (0.211) Data 0.042 (0.047) Loss 2.2036 (2.2976) Prec@1 48.828 (47.499) Prec@5 72.266 (72.793)
Epoch: [67][3310/5005] Time 0.209 (0.211) Data 0.043 (0.047) Loss 2.2010 (2.2977) Prec@1 47.656 (47.497) Prec@5 71.875 (72.790)
Epoch: [67][3320/5005] Time 0.209 (0.211) Data 0.049 (0.047) Loss 2.3782 (2.2978) Prec@1 47.266 (47.494) Prec@5 69.922 (72.791)
Epoch: [67][3330/5005] Time 0.208 (0.211) Data 0.043 (0.047) Loss 2.3460 (2.2979) Prec@1 45.312 (47.493) Prec@5 68.359 (72.790)
Epoch: [67][3340/5005] Time 0.213 (0.211) Data 0.044 (0.047) Loss 2.4547 (2.2979) Prec@1 48.047 (47.492) Prec@5 69.141 (72.790)
Epoch: [67][3350/5005] Time 0.210 (0.211) Data 0.042 (0.047) Loss 2.3661 (2.2978) Prec@1 45.703 (47.492) Prec@5 73.438 (72.795)
Epoch: [67][3360/5005] Time 0.204 (0.211) Data 0.043 (0.047) Loss 2.2367 (2.2979) Prec@1 49.609 (47.494) Prec@5 74.219 (72.796)
Epoch: [67][3370/5005] Time 0.205 (0.211) Data 0.041 (0.047) Loss 2.2830 (2.2980) Prec@1 44.531 (47.487) Prec@5 74.609 (72.793)
Epoch: [67][3380/5005] Time 0.206 (0.211) Data 0.043 (0.047) Loss 2.2659 (2.2979) Prec@1 47.656 (47.489) Prec@5 71.484 (72.792)
Epoch: [67][3390/5005] Time 0.213 (0.211) Data 0.046 (0.047) Loss 2.2787 (2.2981) Prec@1 50.000 (47.488) Prec@5 69.922 (72.788)
Epoch: [67][3400/5005] Time 0.205 (0.211) Data 0.048 (0.047) Loss 2.2202 (2.2981) Prec@1 48.438 (47.487) Prec@5 70.312 (72.786)
Epoch: [67][3410/5005] Time 0.209 (0.211) Data 0.047 (0.047) Loss 2.1423 (2.2979) Prec@1 50.781 (47.489) Prec@5 72.266 (72.791)
Epoch: [67][3420/5005] Time 0.204 (0.211) Data 0.044 (0.047) Loss 2.1457 (2.2979) Prec@1 50.391 (47.489) Prec@5 73.438 (72.792)
Epoch: [67][3430/5005] Time 0.207 (0.211) Data 0.039 (0.047) Loss 2.2697 (2.2979) Prec@1 48.438 (47.490) Prec@5 69.141 (72.792)
Epoch: [67][3440/5005] Time 0.205 (0.211) Data 0.040 (0.047) Loss 2.3239 (2.2978) Prec@1 49.219 (47.491) Prec@5 71.094 (72.791)
Epoch: [67][3450/5005] Time 0.194 (0.211) Data 0.052 (0.047) Loss 2.1992 (2.2977) Prec@1 48.828 (47.492) Prec@5 76.562 (72.792)
Epoch: [67][3460/5005] Time 0.211 (0.211) Data 0.044 (0.047) Loss 2.2016 (2.2978) Prec@1 48.828 (47.493) Prec@5 76.562 (72.793)
Epoch: [67][3470/5005] Time 0.213 (0.211) Data 0.043 (0.047) Loss 2.0954 (2.2975) Prec@1 48.828 (47.498) Prec@5 73.828 (72.797)
Epoch: [67][3480/5005] Time 0.211 (0.211) Data 0.050 (0.047) Loss 2.1934 (2.2973) Prec@1 48.047 (47.501) Prec@5 71.875 (72.800)
Epoch: [67][3490/5005] Time 0.221 (0.211) Data 0.046 (0.047) Loss 2.4748 (2.2974) Prec@1 40.625 (47.498) Prec@5 71.875 (72.799)
Epoch: [67][3500/5005] Time 0.212 (0.211) Data 0.051 (0.047) Loss 2.0914 (2.2975) Prec@1 50.000 (47.497) Prec@5 80.078 (72.800)
Epoch: [67][3510/5005] Time 0.204 (0.210) Data 0.039 (0.047) Loss 2.0644 (2.2973) Prec@1 51.953 (47.499) Prec@5 74.219 (72.802)
Epoch: [67][3520/5005] Time 0.206 (0.210) Data 0.050 (0.047) Loss 2.5366 (2.2973) Prec@1 43.359 (47.500) Prec@5 69.141 (72.803)
Epoch: [67][3530/5005] Time 0.208 (0.210) Data 0.050 (0.047) Loss 2.3140 (2.2971) Prec@1 46.484 (47.504) Prec@5 75.391 (72.806)
Epoch: [67][3540/5005] Time 0.202 (0.210) Data 0.054 (0.047) Loss 2.2880 (2.2970) Prec@1 46.484 (47.506) Prec@5 75.000 (72.811)
Epoch: [67][3550/5005] Time 0.196 (0.210) Data 0.050 (0.047) Loss 2.5412 (2.2969) Prec@1 41.016 (47.504) Prec@5 69.922 (72.812)
Epoch: [67][3560/5005] Time 0.225 (0.210) Data 0.053 (0.047) Loss 2.1992 (2.2967) Prec@1 48.438 (47.509) Prec@5 73.828 (72.814)
Epoch: [67][3570/5005] Time 0.208 (0.210) Data 0.045 (0.047) Loss 2.3454 (2.2966) Prec@1 46.484 (47.510) Prec@5 71.484 (72.814)
Epoch: [67][3580/5005] Time 0.207 (0.210) Data 0.047 (0.047) Loss 2.1273 (2.2966) Prec@1 51.953 (47.509) Prec@5 78.125 (72.818)
Epoch: [67][3590/5005] Time 0.214 (0.210) Data 0.044 (0.047) Loss 2.3377 (2.2964) Prec@1 43.750 (47.515) Prec@5 71.094 (72.822)
Epoch: [67][3600/5005] Time 0.223 (0.210) Data 0.041 (0.047) Loss 2.3212 (2.2962) Prec@1 48.438 (47.518) Prec@5 73.047 (72.822)
Epoch: [67][3610/5005] Time 0.204 (0.210) Data 0.050 (0.047) Loss 2.1102 (2.2961) Prec@1 53.125 (47.520) Prec@5 77.734 (72.826)
Epoch: [67][3620/5005] Time 0.209 (0.210) Data 0.050 (0.047) Loss 2.4775 (2.2959) Prec@1 43.359 (47.524) Prec@5 66.797 (72.829)
Epoch: [67][3630/5005] Time 0.205 (0.210) Data 0.041 (0.047) Loss 2.3856 (2.2957) Prec@1 45.703 (47.528) Prec@5 74.609 (72.830)
Epoch: [67][3640/5005] Time 0.204 (0.210) Data 0.045 (0.047) Loss 2.1711 (2.2956) Prec@1 43.359 (47.531) Prec@5 75.781 (72.831)
Epoch: [67][3650/5005] Time 0.213 (0.210) Data 0.044 (0.047) Loss 2.1570 (2.2956) Prec@1 50.781 (47.532) Prec@5 76.172 (72.832)
Epoch: [67][3660/5005] Time 0.204 (0.210) Data 0.044 (0.047) Loss 2.4565 (2.2954) Prec@1 47.266 (47.538) Prec@5 67.188 (72.835)
Epoch: [67][3670/5005] Time 0.213 (0.210) Data 0.043 (0.047) Loss 2.5316 (2.2956) Prec@1 45.312 (47.535) Prec@5 69.531 (72.834)
Epoch: [67][3680/5005] Time 0.212 (0.210) Data 0.043 (0.047) Loss 2.1618 (2.2957) Prec@1 47.266 (47.534) Prec@5 72.656 (72.831)
Epoch: [67][3690/5005] Time 0.205 (0.210) Data 0.041 (0.047) Loss 2.1520 (2.2957) Prec@1 49.219 (47.534) Prec@5 75.000 (72.830)
Epoch: [67][3700/5005] Time 0.199 (0.210) Data 0.048 (0.047) Loss 2.3345 (2.2956) Prec@1 46.094 (47.536) Prec@5 73.828 (72.831)
Epoch: [67][3710/5005] Time 0.215 (0.210) Data 0.043 (0.047) Loss 2.1620 (2.2957) Prec@1 48.828 (47.534) Prec@5 76.562 (72.833)
Epoch: [67][3720/5005] Time 0.211 (0.210) Data 0.045 (0.047) Loss 2.3767 (2.2956) Prec@1 46.875 (47.535) Prec@5 71.484 (72.833)
Epoch: [67][3730/5005] Time 0.217 (0.210) Data 0.046 (0.047) Loss 2.0802 (2.2955) Prec@1 53.906 (47.538) Prec@5 76.172 (72.835)
Epoch: [67][3740/5005] Time 0.224 (0.210) Data 0.045 (0.047) Loss 2.2766 (2.2954) Prec@1 50.000 (47.541) Prec@5 73.438 (72.838)
Epoch: [67][3750/5005] Time 0.208 (0.210) Data 0.041 (0.047) Loss 2.1148 (2.2955) Prec@1 47.266 (47.540) Prec@5 74.609 (72.837)
Epoch: [67][3760/5005] Time 0.211 (0.210) Data 0.042 (0.047) Loss 2.2930 (2.2956) Prec@1 49.609 (47.537) Prec@5 69.141 (72.832)
Epoch: [67][3770/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.3788 (2.2955) Prec@1 47.656 (47.541) Prec@5 69.922 (72.830)
Epoch: [67][3780/5005] Time 0.208 (0.210) Data 0.041 (0.047) Loss 2.2332 (2.2955) Prec@1 49.609 (47.543) Prec@5 71.484 (72.831)
Epoch: [67][3790/5005] Time 0.209 (0.210) Data 0.044 (0.047) Loss 2.4713 (2.2955) Prec@1 43.750 (47.539) Prec@5 70.312 (72.829)
Epoch: [67][3800/5005] Time 0.209 (0.210) Data 0.044 (0.047) Loss 2.2024 (2.2957) Prec@1 47.266 (47.535) Prec@5 73.828 (72.827)
Epoch: [67][3810/5005] Time 0.202 (0.210) Data 0.044 (0.047) Loss 2.1571 (2.2956) Prec@1 48.438 (47.535) Prec@5 75.391 (72.828)
Epoch: [67][3820/5005] Time 0.201 (0.210) Data 0.044 (0.047) Loss 2.0726 (2.2954) Prec@1 51.562 (47.539) Prec@5 77.344 (72.833)
Epoch: [67][3830/5005] Time 0.210 (0.210) Data 0.043 (0.047) Loss 2.2698 (2.2952) Prec@1 45.312 (47.540) Prec@5 72.656 (72.837)
Epoch: [67][3840/5005] Time 0.207 (0.210) Data 0.041 (0.047) Loss 2.6074 (2.2953) Prec@1 39.453 (47.537) Prec@5 66.797 (72.833)
Epoch: [67][3850/5005] Time 0.214 (0.210) Data 0.046 (0.047) Loss 2.3265 (2.2953) Prec@1 48.438 (47.535) Prec@5 72.266 (72.835)
Epoch: [67][3860/5005] Time 0.211 (0.210) Data 0.042 (0.047) Loss 2.0989 (2.2953) Prec@1 53.906 (47.535) Prec@5 76.562 (72.836)
Epoch: [67][3870/5005] Time 0.198 (0.210) Data 0.044 (0.047) Loss 2.2426 (2.2953) Prec@1 45.703 (47.531) Prec@5 71.484 (72.832)
Epoch: [67][3880/5005] Time 0.205 (0.210) Data 0.043 (0.047) Loss 2.1808 (2.2952) Prec@1 49.219 (47.533) Prec@5 72.266 (72.831)
Epoch: [67][3890/5005] Time 0.214 (0.210) Data 0.049 (0.047) Loss 2.5786 (2.2952) Prec@1 44.922 (47.533) Prec@5 69.531 (72.831)
Epoch: [67][3900/5005] Time 0.213 (0.210) Data 0.040 (0.047) Loss 2.4574 (2.2952) Prec@1 44.922 (47.533) Prec@5 71.094 (72.830)
Epoch: [67][3910/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.3999 (2.2953) Prec@1 44.141 (47.534) Prec@5 68.750 (72.829)
Epoch: [67][3920/5005] Time 0.205 (0.210) Data 0.044 (0.047) Loss 2.2778 (2.2953) Prec@1 48.828 (47.534) Prec@5 75.781 (72.827)
Epoch: [67][3930/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.1345 (2.2951) Prec@1 51.562 (47.538) Prec@5 74.219 (72.829)
Epoch: [67][3940/5005] Time 0.201 (0.210) Data 0.043 (0.047) Loss 2.3059 (2.2951) Prec@1 45.703 (47.540) Prec@5 70.312 (72.828)
Epoch: [67][3950/5005] Time 0.208 (0.210) Data 0.044 (0.047) Loss 2.1314 (2.2949) Prec@1 54.688 (47.548) Prec@5 74.219 (72.831)
Epoch: [67][3960/5005] Time 0.210 (0.210) Data 0.041 (0.047) Loss 2.2075 (2.2949) Prec@1 48.047 (47.548) Prec@5 74.609 (72.831)
Epoch: [67][3970/5005] Time 0.205 (0.210) Data 0.046 (0.047) Loss 2.2534 (2.2949) Prec@1 50.000 (47.547) Prec@5 71.094 (72.832)
Epoch: [67][3980/5005] Time 0.209 (0.210) Data 0.045 (0.047) Loss 2.1125 (2.2947) Prec@1 47.266 (47.549) Prec@5 78.516 (72.834)
Epoch: [67][3990/5005] Time 0.208 (0.210) Data 0.054 (0.047) Loss 2.3906 (2.2948) Prec@1 43.750 (47.546) Prec@5 71.875 (72.832)
Epoch: [67][4000/5005] Time 0.198 (0.210) Data 0.045 (0.047) Loss 2.1653 (2.2948) Prec@1 47.656 (47.544) Prec@5 76.562 (72.835)
Epoch: [67][4010/5005] Time 0.201 (0.210) Data 0.047 (0.047) Loss 2.3166 (2.2947) Prec@1 48.047 (47.547) Prec@5 72.656 (72.837)
Epoch: [67][4020/5005] Time 0.214 (0.210) Data 0.042 (0.047) Loss 2.3802 (2.2946) Prec@1 47.266 (47.549) Prec@5 69.531 (72.838)
Epoch: [67][4030/5005] Time 0.212 (0.210) Data 0.046 (0.047) Loss 2.3938 (2.2948) Prec@1 46.875 (47.546) Prec@5 68.359 (72.833)
Epoch: [67][4040/5005] Time 0.201 (0.210) Data 0.043 (0.047) Loss 2.2761 (2.2948) Prec@1 49.609 (47.547) Prec@5 70.312 (72.832)
Epoch: [67][4050/5005] Time 0.205 (0.210) Data 0.043 (0.047) Loss 2.4962 (2.2947) Prec@1 44.141 (47.550) Prec@5 68.359 (72.835)
Epoch: [67][4060/5005] Time 0.204 (0.210) Data 0.050 (0.047) Loss 2.2579 (2.2947) Prec@1 46.484 (47.550) Prec@5 75.000 (72.836)
Epoch: [67][4070/5005] Time 0.209 (0.210) Data 0.054 (0.047) Loss 2.4968 (2.2947) Prec@1 47.266 (47.552) Prec@5 72.266 (72.836)
Epoch: [67][4080/5005] Time 0.207 (0.210) Data 0.042 (0.047) Loss 2.2564 (2.2947) Prec@1 46.484 (47.551) Prec@5 70.703 (72.834)
Epoch: [67][4090/5005] Time 0.200 (0.210) Data 0.042 (0.047) Loss 2.3282 (2.2947) Prec@1 42.578 (47.551) Prec@5 74.219 (72.834)
Epoch: [67][4100/5005] Time 0.207 (0.210) Data 0.047 (0.047) Loss 2.1315 (2.2945) Prec@1 47.656 (47.552) Prec@5 75.781 (72.835)
Epoch: [67][4110/5005] Time 0.205 (0.210) Data 0.045 (0.047) Loss 2.4782 (2.2945) Prec@1 46.875 (47.549) Prec@5 73.438 (72.836)
Epoch: [67][4120/5005] Time 0.209 (0.210) Data 0.046 (0.047) Loss 2.3460 (2.2944) Prec@1 48.828 (47.548) Prec@5 72.656 (72.838)
Epoch: [67][4130/5005] Time 0.202 (0.210) Data 0.058 (0.047) Loss 2.4699 (2.2944) Prec@1 42.188 (47.545) Prec@5 72.266 (72.838)
Epoch: [67][4140/5005] Time 0.197 (0.210) Data 0.047 (0.047) Loss 2.3334 (2.2944) Prec@1 46.484 (47.544) Prec@5 72.656 (72.837)
Epoch: [67][4150/5005] Time 0.211 (0.210) Data 0.051 (0.047) Loss 2.5438 (2.2944) Prec@1 44.141 (47.544) Prec@5 71.875 (72.836)
Epoch: [67][4160/5005] Time 0.208 (0.210) Data 0.045 (0.047) Loss 2.2595 (2.2946) Prec@1 48.047 (47.543) Prec@5 76.562 (72.834)
Epoch: [67][4170/5005] Time 0.213 (0.210) Data 0.053 (0.047) Loss 2.2305 (2.2944) Prec@1 46.875 (47.549) Prec@5 73.047 (72.838)
Epoch: [67][4180/5005] Time 0.212 (0.210) Data 0.049 (0.047) Loss 2.0659 (2.2943) Prec@1 52.344 (47.554) Prec@5 76.172 (72.840)
Epoch: [67][4190/5005] Time 0.222 (0.210) Data 0.047 (0.047) Loss 2.1506 (2.2942) Prec@1 45.703 (47.554) Prec@5 75.000 (72.840)
Epoch: [67][4200/5005] Time 0.203 (0.210) Data 0.041 (0.047) Loss 2.1184 (2.2942) Prec@1 49.219 (47.551) Prec@5 73.828 (72.840)
Epoch: [67][4210/5005] Time 0.212 (0.210) Data 0.050 (0.047) Loss 2.1272 (2.2941) Prec@1 51.172 (47.554) Prec@5 76.953 (72.840)
Epoch: [67][4220/5005] Time 0.206 (0.210) Data 0.047 (0.047) Loss 2.4606 (2.2942) Prec@1 44.141 (47.553) Prec@5 71.094 (72.838)
Epoch: [67][4230/5005] Time 0.212 (0.210) Data 0.043 (0.047) Loss 2.3927 (2.2941) Prec@1 43.750 (47.551) Prec@5 69.922 (72.839)
Epoch: [67][4240/5005] Time 0.203 (0.210) Data 0.047 (0.047) Loss 2.2700 (2.2942) Prec@1 41.406 (47.550) Prec@5 75.781 (72.840)
Epoch: [67][4250/5005] Time 0.204 (0.210) Data 0.058 (0.047) Loss 2.1355 (2.2940) Prec@1 51.953 (47.555) Prec@5 73.828 (72.842)
Epoch: [67][4260/5005] Time 0.209 (0.210) Data 0.051 (0.047) Loss 2.2696 (2.2939) Prec@1 44.531 (47.554) Prec@5 73.828 (72.844)
Epoch: [67][4270/5005] Time 0.210 (0.210) Data 0.045 (0.047) Loss 2.4909 (2.2941) Prec@1 45.312 (47.553) Prec@5 71.484 (72.843)
Epoch: [67][4280/5005] Time 0.206 (0.210) Data 0.052 (0.047) Loss 2.2847 (2.2941) Prec@1 46.484 (47.553) Prec@5 73.438 (72.843)
Epoch: [67][4290/5005] Time 0.207 (0.210) Data 0.043 (0.047) Loss 2.4783 (2.2942) Prec@1 47.266 (47.552) Prec@5 69.531 (72.839)
Epoch: [67][4300/5005] Time 0.210 (0.210) Data 0.043 (0.047) Loss 2.0818 (2.2941) Prec@1 54.297 (47.556) Prec@5 78.906 (72.842)
Epoch: [67][4310/5005] Time 0.213 (0.210) Data 0.048 (0.047) Loss 2.2932 (2.2941) Prec@1 48.047 (47.557) Prec@5 71.484 (72.841)
Epoch: [67][4320/5005] Time 0.211 (0.210) Data 0.043 (0.047) Loss 2.2878 (2.2941) Prec@1 49.609 (47.558) Prec@5 76.562 (72.842)
Epoch: [67][4330/5005] Time 0.200 (0.210) Data 0.044 (0.047) Loss 2.2253 (2.2939) Prec@1 46.094 (47.557) Prec@5 75.000 (72.844)
Epoch: [67][4340/5005] Time 0.195 (0.210) Data 0.058 (0.047) Loss 2.3376 (2.2941) Prec@1 46.094 (47.551) Prec@5 67.578 (72.840)
Epoch: [67][4350/5005] Time 0.209 (0.210) Data 0.047 (0.047) Loss 2.3113 (2.2940) Prec@1 49.219 (47.554) Prec@5 74.609 (72.841)
Epoch: [67][4360/5005] Time 0.204 (0.210) Data 0.046 (0.047) Loss 2.0243 (2.2938) Prec@1 51.562 (47.556) Prec@5 76.953 (72.844)
Epoch: [67][4370/5005] Time 0.192 (0.210) Data 0.053 (0.047) Loss 2.2363 (2.2938) Prec@1 48.047 (47.557) Prec@5 75.391 (72.842)
Epoch: [67][4380/5005] Time 0.218 (0.210) Data 0.047 (0.047) Loss 2.3390 (2.2938) Prec@1 44.141 (47.556) Prec@5 70.703 (72.844)
Epoch: [67][4390/5005] Time 0.214 (0.210) Data 0.044 (0.047) Loss 2.3266 (2.2937) Prec@1 48.047 (47.563) Prec@5 70.703 (72.846)
Epoch: [67][4400/5005] Time 0.201 (0.210) Data 0.043 (0.047) Loss 2.2833 (2.2937) Prec@1 45.703 (47.562) Prec@5 70.312 (72.843)
Epoch: [67][4410/5005] Time 0.204 (0.210) Data 0.041 (0.047) Loss 2.1751 (2.2936) Prec@1 46.094 (47.560) Prec@5 74.219 (72.844)
Epoch: [67][4420/5005] Time 0.207 (0.210) Data 0.043 (0.047) Loss 1.9427 (2.2935) Prec@1 53.125 (47.563) Prec@5 73.047 (72.845)
Epoch: [67][4430/5005] Time 0.205 (0.210) Data 0.059 (0.047) Loss 2.3685 (2.2932) Prec@1 43.750 (47.567) Prec@5 70.312 (72.848)
Epoch: [67][4440/5005] Time 0.208 (0.210) Data 0.047 (0.047) Loss 2.4823 (2.2933) Prec@1 44.922 (47.566) Prec@5 70.312 (72.848)
Epoch: [67][4450/5005] Time 0.206 (0.210) Data 0.046 (0.047) Loss 2.0553 (2.2932) Prec@1 50.391 (47.566) Prec@5 78.516 (72.850)
Epoch: [67][4460/5005] Time 0.207 (0.210) Data 0.046 (0.047) Loss 2.4691 (2.2932) Prec@1 44.922 (47.566) Prec@5 72.266 (72.850)
Epoch: [67][4470/5005] Time 0.210 (0.210) Data 0.046 (0.047) Loss 2.2304 (2.2933) Prec@1 49.219 (47.565) Prec@5 72.656 (72.849)
Epoch: [67][4480/5005] Time 0.206 (0.210) Data 0.048 (0.047) Loss 2.2009 (2.2935) Prec@1 48.438 (47.561) Prec@5 73.047 (72.845)
Epoch: [67][4490/5005] Time 0.200 (0.210) Data 0.048 (0.047) Loss 2.2770 (2.2935) Prec@1 47.656 (47.561) Prec@5 73.047 (72.844)
Epoch: [67][4500/5005] Time 0.204 (0.210) Data 0.048 (0.047) Loss 2.1868 (2.2934) Prec@1 51.562 (47.563) Prec@5 76.953 (72.846)
Epoch: [67][4510/5005] Time 0.214 (0.210) Data 0.042 (0.047) Loss 2.0924 (2.2934) Prec@1 50.781 (47.563) Prec@5 75.781 (72.845)
Epoch: [67][4520/5005] Time 0.208 (0.210) Data 0.049 (0.047) Loss 2.3005 (2.2933) Prec@1 47.266 (47.567) Prec@5 73.438 (72.847)
Epoch: [67][4530/5005] Time 0.213 (0.210) Data 0.046 (0.047) Loss 2.2517 (2.2933) Prec@1 48.047 (47.568) Prec@5 75.000 (72.847)
Epoch: [67][4540/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.2428 (2.2934) Prec@1 46.094 (47.564) Prec@5 75.391 (72.846)
Epoch: [67][4550/5005] Time 0.216 (0.210) Data 0.046 (0.047) Loss 2.2931 (2.2933) Prec@1 49.219 (47.564) Prec@5 74.609 (72.848)
Epoch: [67][4560/5005] Time 0.207 (0.210) Data 0.043 (0.047) Loss 2.2315 (2.2933) Prec@1 50.000 (47.567) Prec@5 73.828 (72.848)
Epoch: [67][4570/5005] Time 0.214 (0.210) Data 0.052 (0.047) Loss 2.4469 (2.2931) Prec@1 47.656 (47.572) Prec@5 71.094 (72.850)
Epoch: [67][4580/5005] Time 0.210 (0.210) Data 0.043 (0.047) Loss 2.3418 (2.2931) Prec@1 43.750 (47.572) Prec@5 70.703 (72.849)
Epoch: [67][4590/5005] Time 0.212 (0.210) Data 0.043 (0.047) Loss 2.1699 (2.2932) Prec@1 46.484 (47.569) Prec@5 77.344 (72.848)
Epoch: [67][4600/5005] Time 0.214 (0.210) Data 0.044 (0.047) Loss 1.9771 (2.2933) Prec@1 52.734 (47.567) Prec@5 78.906 (72.847)
Epoch: [67][4610/5005] Time 0.211 (0.210) Data 0.046 (0.047) Loss 2.0814 (2.2933) Prec@1 48.047 (47.567) Prec@5 79.297 (72.847)
Epoch: [67][4620/5005] Time 0.206 (0.210) Data 0.053 (0.047) Loss 2.1729 (2.2932) Prec@1 50.000 (47.569) Prec@5 72.656 (72.845)
Epoch: [67][4630/5005] Time 0.211 (0.210) Data 0.046 (0.047) Loss 2.1058 (2.2931) Prec@1 51.172 (47.571) Prec@5 76.172 (72.848)
Epoch: [67][4640/5005] Time 0.204 (0.210) Data 0.048 (0.047) Loss 2.3753 (2.2931) Prec@1 50.391 (47.572) Prec@5 73.047 (72.849)
Epoch: [67][4650/5005] Time 0.208 (0.210) Data 0.048 (0.047) Loss 2.3863 (2.2931) Prec@1 46.875 (47.572) Prec@5 70.703 (72.850)
Epoch: [67][4660/5005] Time 0.197 (0.210) Data 0.058 (0.047) Loss 2.5694 (2.2931) Prec@1 42.969 (47.575) Prec@5 67.578 (72.850)
Epoch: [67][4670/5005] Time 0.206 (0.210) Data 0.046 (0.047) Loss 2.1650 (2.2929) Prec@1 48.828 (47.578) Prec@5 73.438 (72.852)
Epoch: [67][4680/5005] Time 0.213 (0.210) Data 0.042 (0.047) Loss 2.1598 (2.2928) Prec@1 51.953 (47.580) Prec@5 77.344 (72.855)
Epoch: [67][4690/5005] Time 0.211 (0.210) Data 0.042 (0.047) Loss 2.3511 (2.2929) Prec@1 46.094 (47.577) Prec@5 72.656 (72.854)
Epoch: [67][4700/5005] Time 0.204 (0.210) Data 0.054 (0.047) Loss 2.1911 (2.2928) Prec@1 53.125 (47.584) Prec@5 75.000 (72.855)
Epoch: [67][4710/5005] Time 0.215 (0.210) Data 0.045 (0.047) Loss 2.2836 (2.2926) Prec@1 50.000 (47.586) Prec@5 75.000 (72.860)
Epoch: [67][4720/5005] Time 0.208 (0.210) Data 0.047 (0.047) Loss 2.2786 (2.2926) Prec@1 45.312 (47.585) Prec@5 73.047 (72.860)
Epoch: [67][4730/5005] Time 0.213 (0.210) Data 0.042 (0.047) Loss 2.2611 (2.2927) Prec@1 47.266 (47.583) Prec@5 73.828 (72.858)
Epoch: [67][4740/5005] Time 0.212 (0.210) Data 0.043 (0.047) Loss 2.1975 (2.2926) Prec@1 48.438 (47.585) Prec@5 75.781 (72.858)
Epoch: [67][4750/5005] Time 0.209 (0.210) Data 0.043 (0.047) Loss 2.2118 (2.2926) Prec@1 46.094 (47.588) Prec@5 71.875 (72.858)
Epoch: [67][4760/5005] Time 0.207 (0.210) Data 0.043 (0.047) Loss 2.5591 (2.2925) Prec@1 39.844 (47.588) Prec@5 70.703 (72.860)
Epoch: [67][4770/5005] Time 0.208 (0.210) Data 0.057 (0.047) Loss 2.2203 (2.2924) Prec@1 48.047 (47.587) Prec@5 72.266 (72.861)
Epoch: [67][4780/5005] Time 0.215 (0.210) Data 0.043 (0.047) Loss 2.3299 (2.2925) Prec@1 45.703 (47.585) Prec@5 70.703 (72.861)
Epoch: [67][4790/5005] Time 0.208 (0.210) Data 0.045 (0.047) Loss 2.5729 (2.2925) Prec@1 43.750 (47.585) Prec@5 70.703 (72.860)
Epoch: [67][4800/5005] Time 0.209 (0.210) Data 0.044 (0.047) Loss 2.4577 (2.2925) Prec@1 44.531 (47.584) Prec@5 71.484 (72.863)
Epoch: [67][4810/5005] Time 0.208 (0.210) Data 0.054 (0.047) Loss 2.4397 (2.2924) Prec@1 45.703 (47.583) Prec@5 71.875 (72.862)
Epoch: [67][4820/5005] Time 0.202 (0.210) Data 0.053 (0.047) Loss 2.4413 (2.2924) Prec@1 41.797 (47.584) Prec@5 70.312 (72.864)
Epoch: [67][4830/5005] Time 0.213 (0.210) Data 0.041 (0.047) Loss 2.3472 (2.2922) Prec@1 48.438 (47.588) Prec@5 69.922 (72.864)
Epoch: [67][4840/5005] Time 0.209 (0.210) Data 0.048 (0.047) Loss 2.1858 (2.2923) Prec@1 48.047 (47.587) Prec@5 75.000 (72.863)
Epoch: [67][4850/5005] Time 0.208 (0.210) Data 0.044 (0.047) Loss 2.3064 (2.2924) Prec@1 44.141 (47.584) Prec@5 72.266 (72.862)
Epoch: [67][4860/5005] Time 0.205 (0.210) Data 0.043 (0.047) Loss 2.2454 (2.2923) Prec@1 51.172 (47.585) Prec@5 74.219 (72.863)
Epoch: [67][4870/5005] Time 0.194 (0.210) Data 0.052 (0.047) Loss 2.1160 (2.2923) Prec@1 53.906 (47.586) Prec@5 74.609 (72.862)
Epoch: [67][4880/5005] Time 0.207 (0.210) Data 0.045 (0.047) Loss 2.2233 (2.2923) Prec@1 47.266 (47.586) Prec@5 73.438 (72.861)
Epoch: [67][4890/5005] Time 0.213 (0.210) Data 0.042 (0.047) Loss 2.4546 (2.2922) Prec@1 42.188 (47.585) Prec@5 67.969 (72.861)
Epoch: [67][4900/5005] Time 0.206 (0.210) Data 0.059 (0.047) Loss 2.1760 (2.2921) Prec@1 49.219 (47.587) Prec@5 78.516 (72.865)
Epoch: [67][4910/5005] Time 0.215 (0.210) Data 0.044 (0.047) Loss 2.3880 (2.2919) Prec@1 44.141 (47.590) Prec@5 72.656 (72.867)
Epoch: [67][4920/5005] Time 0.216 (0.210) Data 0.046 (0.047) Loss 2.2478 (2.2919) Prec@1 46.094 (47.588) Prec@5 73.047 (72.866)
Epoch: [67][4930/5005] Time 0.211 (0.210) Data 0.043 (0.047) Loss 2.3548 (2.2918) Prec@1 52.734 (47.589) Prec@5 71.875 (72.870)
Epoch: [67][4940/5005] Time 0.211 (0.210) Data 0.043 (0.047) Loss 2.3242 (2.2919) Prec@1 49.609 (47.588) Prec@5 71.484 (72.868)
Epoch: [67][4950/5005] Time 0.200 (0.210) Data 0.050 (0.047) Loss 1.9499 (2.2919) Prec@1 53.516 (47.587) Prec@5 78.516 (72.867)
Epoch: [67][4960/5005] Time 0.216 (0.210) Data 0.048 (0.047) Loss 2.3194 (2.2919) Prec@1 48.438 (47.589) Prec@5 73.438 (72.868)
Epoch: [67][4970/5005] Time 0.209 (0.210) Data 0.042 (0.047) Loss 2.4852 (2.2918) Prec@1 41.016 (47.589) Prec@5 69.922 (72.869)
Epoch: [67][4980/5005] Time 0.204 (0.210) Data 0.045 (0.047) Loss 2.1937 (2.2917) Prec@1 49.609 (47.592) Prec@5 75.000 (72.872)
Epoch: [67][4990/5005] Time 0.203 (0.210) Data 0.028 (0.047) Loss 2.3862 (2.2917) Prec@1 45.703 (47.594) Prec@5 70.312 (72.873)
Epoch: [67][5000/5005] Time 0.206 (0.210) Data 0.021 (0.047) Loss 2.3127 (2.2917) Prec@1 48.828 (47.593) Prec@5 73.047 (72.873)
Test: [0/196] Time 1.817 (1.817) Loss 2.4008 (2.4008) Prec@1 48.438 (48.438) Prec@5 71.875 (71.875)
Test: [10/196] Time 0.054 (0.335) Loss 2.4690 (2.5550) Prec@1 46.875 (44.283) Prec@5 71.094 (68.999)
Test: [20/196] Time 0.043 (0.224) Loss 2.4223 (2.5540) Prec@1 45.312 (43.899) Prec@5 71.094 (69.513)
Test: [30/196] Time 0.394 (0.219) Loss 2.4557 (2.5594) Prec@1 42.969 (43.838) Prec@5 70.312 (69.128)
Test: [40/196] Time 0.358 (0.206) Loss 2.3255 (2.5533) Prec@1 50.781 (43.998) Prec@5 74.609 (69.264)
Test: [50/196] Time 0.044 (0.208) Loss 2.6671 (2.5593) Prec@1 45.312 (43.987) Prec@5 69.141 (69.148)
Test: [60/196] Time 0.042 (0.193) Loss 2.5272 (2.5458) Prec@1 46.094 (44.211) Prec@5 68.359 (69.390)
Test: [70/196] Time 0.043 (0.194) Loss 2.5338 (2.5403) Prec@1 45.312 (44.234) Prec@5 69.922 (69.355)
Test: [80/196] Time 0.347 (0.189) Loss 2.4060 (2.5473) Prec@1 52.734 (44.280) Prec@5 75.781 (69.324)
Test: [90/196] Time 0.045 (0.186) Loss 2.6517 (2.5500) Prec@1 45.312 (44.239) Prec@5 66.406 (69.317)
Test: [100/196] Time 0.227 (0.183) Loss 2.5755 (2.5483) Prec@1 46.875 (44.373) Prec@5 67.578 (69.307)
Test: [110/196] Time 0.048 (0.186) Loss 2.7470 (2.5490) Prec@1 39.062 (44.405) Prec@5 65.625 (69.334)
Test: [120/196] Time 0.638 (0.187) Loss 2.3734 (2.5463) Prec@1 46.094 (44.460) Prec@5 71.094 (69.354)
Test: [130/196] Time 0.042 (0.184) Loss 2.2074 (2.5431) Prec@1 47.266 (44.540) Prec@5 74.609 (69.388)
Test: [140/196] Time 0.045 (0.183) Loss 2.3250 (2.5452) Prec@1 50.391 (44.465) Prec@5 72.266 (69.323)
Test: [150/196] Time 0.041 (0.182) Loss 2.1800 (2.5446) Prec@1 49.609 (44.436) Prec@5 78.125 (69.379)
Test: [160/196] Time 0.042 (0.180) Loss 2.4527 (2.5431) Prec@1 50.000 (44.391) Prec@5 70.312 (69.369)
Test: [170/196] Time 0.041 (0.179) Loss 2.3889 (2.5452) Prec@1 46.484 (44.364) Prec@5 73.438 (69.355)
Test: [180/196] Time 0.462 (0.181) Loss 2.6980 (2.5495) Prec@1 38.672 (44.270) Prec@5 68.359 (69.242)
Test: [190/196] Time 0.044 (0.180) Loss 2.7316 (2.5529) Prec@1 45.703 (44.210) Prec@5 64.844 (69.155)
* Prec@1 44.212 Prec@5 69.158
Learning rate: 1e-05
Epoch: [68][0/5005] Time 1.061 (1.061) Data 0.942 (0.942) Loss 2.2297 (2.2297) Prec@1 48.047 (48.047) Prec@5 72.656 (72.656)
Epoch: [68][10/5005] Time 0.202 (0.284) Data 0.049 (0.131) Loss 2.1987 (2.3127) Prec@1 48.438 (46.129) Prec@5 73.438 (72.834)
Epoch: [68][20/5005] Time 0.198 (0.245) Data 0.048 (0.090) Loss 2.4241 (2.3244) Prec@1 43.750 (45.871) Prec@5 73.047 (73.047)
Epoch: [68][30/5005] Time 0.208 (0.231) Data 0.042 (0.077) Loss 2.0700 (2.2829) Prec@1 50.781 (46.837) Prec@5 75.000 (73.664)
Epoch: [68][40/5005] Time 0.207 (0.224) Data 0.044 (0.069) Loss 2.2548 (2.2961) Prec@1 43.359 (46.713) Prec@5 74.609 (73.457)
Epoch: [68][50/5005] Time 0.206 (0.220) Data 0.044 (0.065) Loss 2.0698 (2.2949) Prec@1 49.219 (46.791) Prec@5 79.297 (73.392)
Epoch: [68][60/5005] Time 0.209 (0.218) Data 0.043 (0.061) Loss 2.3295 (2.2962) Prec@1 47.266 (46.965) Prec@5 74.609 (73.380)
Epoch: [68][70/5005] Time 0.219 (0.216) Data 0.046 (0.059) Loss 2.2764 (2.3090) Prec@1 45.312 (46.743) Prec@5 73.438 (73.080)
Epoch: [68][80/5005] Time 0.205 (0.214) Data 0.047 (0.058) Loss 2.2484 (2.3074) Prec@1 46.875 (46.706) Prec@5 73.438 (73.028)
Epoch: [68][90/5005] Time 0.208 (0.213) Data 0.046 (0.057) Loss 2.2552 (2.3071) Prec@1 48.828 (46.776) Prec@5 76.172 (72.961)
Epoch: [68][100/5005] Time 0.202 (0.212) Data 0.051 (0.057) Loss 2.2088 (2.3075) Prec@1 47.266 (46.817) Prec@5 73.438 (72.908)
Epoch: [68][110/5005] Time 0.198 (0.210) Data 0.050 (0.057) Loss 2.2463 (2.3075) Prec@1 47.266 (46.924) Prec@5 72.266 (72.913)
Epoch: [68][120/5005] Time 0.198 (0.210) Data 0.062 (0.056) Loss 2.3861 (2.3114) Prec@1 46.094 (47.027) Prec@5 72.266 (72.802)
Epoch: [68][130/5005] Time 0.192 (0.209) Data 0.051 (0.056) Loss 2.4558 (2.3117) Prec@1 44.141 (47.084) Prec@5 67.578 (72.802)
Epoch: [68][140/5005] Time 0.192 (0.209) Data 0.053 (0.055) Loss 2.4167 (2.3117) Prec@1 48.438 (47.108) Prec@5 69.531 (72.792)
Epoch: [68][150/5005] Time 0.187 (0.208) Data 0.041 (0.055) Loss 2.3815 (2.3111) Prec@1 44.922 (47.121) Prec@5 69.141 (72.775)
Epoch: [68][160/5005] Time 0.210 (0.208) Data 0.047 (0.054) Loss 2.2029 (2.3120) Prec@1 48.828 (47.147) Prec@5 73.047 (72.773)
Epoch: [68][170/5005] Time 0.211 (0.208) Data 0.044 (0.054) Loss 2.2831 (2.3104) Prec@1 50.781 (47.183) Prec@5 73.047 (72.754)
Epoch: [68][180/5005] Time 0.212 (0.209) Data 0.059 (0.054) Loss 2.5765 (2.3114) Prec@1 46.875 (47.214) Prec@5 66.797 (72.730)
Epoch: [68][190/5005] Time 0.215 (0.209) Data 0.047 (0.053) Loss 2.4025 (2.3159) Prec@1 44.141 (47.098) Prec@5 68.750 (72.617)
Epoch: [68][200/5005] Time 0.220 (0.210) Data 0.046 (0.053) Loss 2.5233 (2.3158) Prec@1 41.797 (47.102) Prec@5 69.141 (72.625)
Epoch: [68][210/5005] Time 0.221 (0.210) Data 0.044 (0.053) Loss 2.2886 (2.3180) Prec@1 46.094 (47.018) Prec@5 73.047 (72.577)
Epoch: [68][220/5005] Time 0.222 (0.211) Data 0.041 (0.052) Loss 2.3504 (2.3182) Prec@1 48.047 (47.015) Prec@5 73.047 (72.586)
Epoch: [68][230/5005] Time 0.220 (0.211) Data 0.044 (0.052) Loss 2.4495 (2.3172) Prec@1 42.969 (47.061) Prec@5 68.750 (72.585)
Epoch: [68][240/5005] Time 0.216 (0.211) Data 0.044 (0.052) Loss 2.3033 (2.3159) Prec@1 50.000 (47.117) Prec@5 72.656 (72.595)
Epoch: [68][250/5005] Time 0.216 (0.211) Data 0.047 (0.051) Loss 2.3227 (2.3161) Prec@1 48.438 (47.147) Prec@5 73.438 (72.620)
Epoch: [68][260/5005] Time 0.218 (0.212) Data 0.051 (0.051) Loss 2.1500 (2.3155) Prec@1 49.219 (47.158) Prec@5 73.438 (72.623)
Epoch: [68][270/5005] Time 0.228 (0.212) Data 0.050 (0.051) Loss 2.2911 (2.3141) Prec@1 47.266 (47.152) Prec@5 72.656 (72.678)
Epoch: [68][280/5005] Time 0.222 (0.212) Data 0.045 (0.051) Loss 2.6749 (2.3156) Prec@1 44.531 (47.149) Prec@5 67.578 (72.623)
Epoch: [68][290/5005] Time 0.210 (0.212) Data 0.050 (0.051) Loss 2.1661 (2.3178) Prec@1 48.438 (47.109) Prec@5 76.562 (72.570)
Epoch: [68][300/5005] Time 0.217 (0.212) Data 0.055 (0.051) Loss 2.2129 (2.3169) Prec@1 49.219 (47.109) Prec@5 76.562 (72.628)
Epoch: [68][310/5005] Time 0.222 (0.213) Data 0.044 (0.051) Loss 2.2113 (2.3155) Prec@1 48.047 (47.125) Prec@5 74.219 (72.644)
Epoch: [68][320/5005] Time 0.214 (0.213) Data 0.042 (0.051) Loss 2.5435 (2.3165) Prec@1 44.531 (47.126) Prec@5 68.750 (72.619)
Epoch: [68][330/5005] Time 0.214 (0.213) Data 0.058 (0.051) Loss 2.1167 (2.3156) Prec@1 47.656 (47.125) Prec@5 75.391 (72.630)
Epoch: [68][340/5005] Time 0.218 (0.213) Data 0.043 (0.051) Loss 2.4180 (2.3191) Prec@1 48.438 (47.117) Prec@5 71.875 (72.589)
Epoch: [68][350/5005] Time 0.206 (0.213) Data 0.046 (0.051) Loss 2.4036 (2.3184) Prec@1 46.875 (47.152) Prec@5 68.750 (72.575)
Epoch: [68][360/5005] Time 0.216 (0.213) Data 0.043 (0.051) Loss 2.2884 (2.3179) Prec@1 48.438 (47.159) Prec@5 73.047 (72.548)
Epoch: [68][370/5005] Time 0.219 (0.214) Data 0.044 (0.051) Loss 2.2191 (2.3163) Prec@1 46.875 (47.181) Prec@5 75.781 (72.569)
Epoch: [68][380/5005] Time 0.221 (0.214) Data 0.045 (0.051) Loss 2.5029 (2.3169) Prec@1 47.656 (47.180) Prec@5 67.969 (72.548)
Epoch: [68][390/5005] Time 0.227 (0.214) Data 0.044 (0.050) Loss 2.2716 (2.3164) Prec@1 51.172 (47.174) Prec@5 74.609 (72.568)
Epoch: [68][400/5005] Time 0.215 (0.214) Data 0.042 (0.050) Loss 2.1571 (2.3148) Prec@1 53.125 (47.213) Prec@5 72.656 (72.580)
Epoch: [68][410/5005] Time 0.220 (0.214) Data 0.043 (0.050) Loss 2.2005 (2.3136) Prec@1 45.312 (47.213) Prec@5 76.562 (72.614)
Epoch: [68][420/5005] Time 0.217 (0.214) Data 0.043 (0.050) Loss 2.2941 (2.3129) Prec@1 48.438 (47.242) Prec@5 76.172 (72.621)
Epoch: [68][430/5005] Time 0.218 (0.214) Data 0.043 (0.050) Loss 2.2236 (2.3117) Prec@1 54.688 (47.275) Prec@5 76.172 (72.642)
Epoch: [68][440/5005] Time 0.215 (0.214) Data 0.045 (0.050) Loss 2.2425 (2.3104) Prec@1 46.875 (47.292) Prec@5 74.609 (72.656)
Epoch: [68][450/5005] Time 0.220 (0.214) Data 0.044 (0.050) Loss 2.1264 (2.3102) Prec@1 47.656 (47.291) Prec@5 77.344 (72.670)
Epoch: [68][460/5005] Time 0.210 (0.214) Data 0.048 (0.050) Loss 2.3506 (2.3108) Prec@1 46.875 (47.291) Prec@5 70.703 (72.651)
Epoch: [68][470/5005] Time 0.218 (0.214) Data 0.055 (0.050) Loss 2.2051 (2.3125) Prec@1 47.656 (47.270) Prec@5 75.000 (72.620)
Epoch: [68][480/5005] Time 0.212 (0.214) Data 0.045 (0.050) Loss 2.4758 (2.3128) Prec@1 45.703 (47.266) Prec@5 69.922 (72.608)
Epoch: [68][490/5005] Time 0.218 (0.214) Data 0.047 (0.050) Loss 2.2817 (2.3129) Prec@1 52.344 (47.253) Prec@5 71.484 (72.608)
Epoch: [68][500/5005] Time 0.213 (0.214) Data 0.043 (0.050) Loss 2.3959 (2.3155) Prec@1 46.094 (47.230) Prec@5 69.141 (72.561)
Epoch: [68][510/5005] Time 0.219 (0.214) Data 0.043 (0.049) Loss 2.6070 (2.3161) Prec@1 43.359 (47.230) Prec@5 65.234 (72.539)
Epoch: [68][520/5005] Time 0.228 (0.214) Data 0.046 (0.050) Loss 2.3108 (2.3154) Prec@1 43.750 (47.233) Prec@5 71.875 (72.548)
Epoch: [68][530/5005] Time 0.224 (0.214) Data 0.047 (0.050) Loss 2.2452 (2.3152) Prec@1 48.047 (47.238) Prec@5 73.828 (72.567)
Epoch: [68][540/5005] Time 0.215 (0.214) Data 0.065 (0.050) Loss 2.4033 (2.3160) Prec@1 45.703 (47.233) Prec@5 73.438 (72.560)
Epoch: [68][550/5005] Time 0.220 (0.214) Data 0.049 (0.050) Loss 2.3574 (2.3161) Prec@1 43.750 (47.196) Prec@5 74.609 (72.563)
Epoch: [68][560/5005] Time 0.209 (0.214) Data 0.048 (0.050) Loss 2.3165 (2.3160) Prec@1 48.828 (47.199) Prec@5 74.219 (72.575)
Epoch: [68][570/5005] Time 0.211 (0.214) Data 0.050 (0.050) Loss 2.5234 (2.3174) Prec@1 43.750 (47.167) Prec@5 70.312 (72.556)
Epoch: [68][580/5005] Time 0.207 (0.214) Data 0.051 (0.050) Loss 2.3277 (2.3161) Prec@1 46.875 (47.196) Prec@5 71.875 (72.564)
Epoch: [68][590/5005] Time 0.222 (0.214) Data 0.049 (0.050) Loss 2.4809 (2.3156) Prec@1 44.141 (47.200) Prec@5 69.922 (72.568)
Epoch: [68][600/5005] Time 0.210 (0.214) Data 0.064 (0.050) Loss 2.3186 (2.3164) Prec@1 48.047 (47.183) Prec@5 74.219 (72.554)
Epoch: [68][610/5005] Time 0.209 (0.214) Data 0.046 (0.050) Loss 2.2645 (2.3163) Prec@1 49.219 (47.185) Prec@5 72.656 (72.565)
Epoch: [68][620/5005] Time 0.210 (0.214) Data 0.062 (0.050) Loss 2.3520 (2.3166) Prec@1 47.266 (47.191) Prec@5 70.703 (72.547)
Epoch: [68][630/5005] Time 0.212 (0.214) Data 0.047 (0.050) Loss 2.6144 (2.3168) Prec@1 40.625 (47.195) Prec@5 66.016 (72.545)
Epoch: [68][640/5005] Time 0.213 (0.214) Data 0.045 (0.050) Loss 2.1634 (2.3163) Prec@1 47.656 (47.200) Prec@5 73.828 (72.537)
Epoch: [68][650/5005] Time 0.204 (0.214) Data 0.048 (0.050) Loss 2.5366 (2.3176) Prec@1 41.016 (47.164) Prec@5 67.578 (72.515)
Epoch: [68][660/5005] Time 0.213 (0.214) Data 0.065 (0.050) Loss 2.4511 (2.3174) Prec@1 43.359 (47.144) Prec@5 70.703 (72.526)
Epoch: [68][670/5005] Time 0.210 (0.214) Data 0.057 (0.050) Loss 2.5454 (2.3175) Prec@1 46.484 (47.150) Prec@5 68.359 (72.520)
Epoch: [68][680/5005] Time 0.213 (0.214) Data 0.041 (0.050) Loss 2.2950 (2.3174) Prec@1 47.656 (47.145) Prec@5 71.094 (72.517)
Epoch: [68][690/5005] Time 0.216 (0.214) Data 0.046 (0.050) Loss 2.2415 (2.3160) Prec@1 48.438 (47.168) Prec@5 75.781 (72.541)
Epoch: [68][700/5005] Time 0.208 (0.214) Data 0.045 (0.050) Loss 2.4252 (2.3155) Prec@1 46.875 (47.181) Prec@5 71.875 (72.553)
Epoch: [68][710/5005] Time 0.212 (0.214) Data 0.046 (0.050) Loss 1.9860 (2.3151) Prec@1 50.391 (47.185) Prec@5 78.125 (72.560)
Epoch: [68][720/5005] Time 0.203 (0.214) Data 0.051 (0.050) Loss 2.2243 (2.3141) Prec@1 48.047 (47.213) Prec@5 74.609 (72.572)
Epoch: [68][730/5005] Time 0.218 (0.214) Data 0.043 (0.050) Loss 2.5520 (2.3149) Prec@1 46.094 (47.209) Prec@5 70.703 (72.560)
Epoch: [68][740/5005] Time 0.203 (0.214) Data 0.056 (0.050) Loss 2.3772 (2.3149) Prec@1 46.484 (47.200) Prec@5 69.531 (72.552)
Epoch: [68][750/5005] Time 0.216 (0.214) Data 0.045 (0.050) Loss 2.1669 (2.3144) Prec@1 49.609 (47.216) Prec@5 73.438 (72.558)
Epoch: [68][760/5005] Time 0.202 (0.214) Data 0.046 (0.050) Loss 2.3874 (2.3149) Prec@1 46.484 (47.197) Prec@5 71.875 (72.538)
Epoch: [68][770/5005] Time 0.215 (0.214) Data 0.044 (0.049) Loss 2.2711 (2.3128) Prec@1 48.047 (47.227) Prec@5 72.266 (72.566)
Epoch: [68][780/5005] Time 0.216 (0.214) Data 0.043 (0.049) Loss 2.2781 (2.3124) Prec@1 49.609 (47.233) Prec@5 73.047 (72.571)
Epoch: [68][790/5005] Time 0.210 (0.214) Data 0.042 (0.049) Loss 2.2790 (2.3123) Prec@1 50.781 (47.250) Prec@5 71.484 (72.578)
Epoch: [68][800/5005] Time 0.219 (0.214) Data 0.045 (0.049) Loss 2.3221 (2.3119) Prec@1 46.875 (47.267) Prec@5 73.828 (72.591)
Epoch: [68][810/5005] Time 0.216 (0.214) Data 0.050 (0.049) Loss 2.3216 (2.3121) Prec@1 44.922 (47.272) Prec@5 76.172 (72.592)
Epoch: [68][820/5005] Time 0.213 (0.214) Data 0.044 (0.049) Loss 2.4199 (2.3120) Prec@1 41.406 (47.278) Prec@5 69.922 (72.597)
Epoch: [68][830/5005] Time 0.208 (0.214) Data 0.045 (0.049) Loss 2.2983 (2.3122) Prec@1 47.266 (47.263) Prec@5 73.438 (72.596)
Epoch: [68][840/5005] Time 0.211 (0.214) Data 0.044 (0.049) Loss 2.1780 (2.3123) Prec@1 53.516 (47.267) Prec@5 72.266 (72.598)
Epoch: [68][850/5005] Time 0.214 (0.214) Data 0.045 (0.049) Loss 2.5177 (2.3122) Prec@1 44.531 (47.266) Prec@5 72.266 (72.608)
Epoch: [68][860/5005] Time 0.216 (0.214) Data 0.042 (0.049) Loss 2.3483 (2.3123) Prec@1 48.047 (47.272) Prec@5 69.531 (72.603)
Epoch: [68][870/5005] Time 0.209 (0.214) Data 0.042 (0.049) Loss 2.4463 (2.3114) Prec@1 43.750 (47.284) Prec@5 67.969 (72.614)
Epoch: [68][880/5005] Time 0.216 (0.214) Data 0.043 (0.049) Loss 2.2466 (2.3116) Prec@1 47.656 (47.275) Prec@5 75.781 (72.615)
Epoch: [68][890/5005] Time 0.201 (0.214) Data 0.060 (0.049) Loss 2.5857 (2.3112) Prec@1 42.188 (47.284) Prec@5 69.141 (72.610)
Epoch: [68][900/5005] Time 0.206 (0.214) Data 0.041 (0.049) Loss 2.3374 (2.3110) Prec@1 50.000 (47.286) Prec@5 73.438 (72.622)
Epoch: [68][910/5005] Time 0.217 (0.214) Data 0.048 (0.049) Loss 2.2574 (2.3105) Prec@1 44.922 (47.284) Prec@5 74.609 (72.629)
Epoch: [68][920/5005] Time 0.210 (0.214) Data 0.048 (0.049) Loss 2.2615 (2.3098) Prec@1 48.828 (47.299) Prec@5 73.047 (72.644)
Epoch: [68][930/5005] Time 0.215 (0.214) Data 0.048 (0.049) Loss 2.2166 (2.3093) Prec@1 48.828 (47.307) Prec@5 71.875 (72.646)
Epoch: [68][940/5005] Time 0.215 (0.214) Data 0.043 (0.049) Loss 2.1367 (2.3096) Prec@1 48.438 (47.306) Prec@5 75.000 (72.646)
Epoch: [68][950/5005] Time 0.205 (0.213) Data 0.051 (0.049) Loss 2.2740 (2.3106) Prec@1 46.875 (47.301) Prec@5 74.219 (72.623)
Epoch: [68][960/5005] Time 0.213 (0.213) Data 0.043 (0.049) Loss 2.4565 (2.3105) Prec@1 47.656 (47.294) Prec@5 70.703 (72.626)
Epoch: [68][970/5005] Time 0.214 (0.213) Data 0.062 (0.049) Loss 2.0512 (2.3099) Prec@1 50.391 (47.290) Prec@5 78.906 (72.637)
Epoch: [68][980/5005] Time 0.200 (0.213) Data 0.045 (0.049) Loss 2.2931 (2.3095) Prec@1 44.531 (47.296) Prec@5 72.656 (72.647)
Epoch: [68][990/5005] Time 0.207 (0.213) Data 0.043 (0.049) Loss 2.4060 (2.3098) Prec@1 44.922 (47.290) Prec@5 68.750 (72.646)
Epoch: [68][1000/5005] Time 0.211 (0.213) Data 0.042 (0.049) Loss 2.3588 (2.3095) Prec@1 47.266 (47.281) Prec@5 71.094 (72.648)
Epoch: [68][1010/5005] Time 0.206 (0.213) Data 0.054 (0.049) Loss 2.5584 (2.3093) Prec@1 40.234 (47.283) Prec@5 66.797 (72.642)
Epoch: [68][1020/5005] Time 0.199 (0.213) Data 0.044 (0.049) Loss 2.1196 (2.3100) Prec@1 53.125 (47.281) Prec@5 77.734 (72.627)
Epoch: [68][1030/5005] Time 0.210 (0.213) Data 0.050 (0.049) Loss 2.2473 (2.3092) Prec@1 49.219 (47.290) Prec@5 71.875 (72.643)
Epoch: [68][1040/5005] Time 0.204 (0.214) Data 0.039 (0.049) Loss 2.4871 (2.3094) Prec@1 42.578 (47.280) Prec@5 71.484 (72.641)
Epoch: [68][1050/5005] Time 0.205 (0.214) Data 0.048 (0.049) Loss 2.3381 (2.3095) Prec@1 48.828 (47.270) Prec@5 69.922 (72.635)
Epoch: [68][1060/5005] Time 0.214 (0.214) Data 0.041 (0.049) Loss 2.3043 (2.3099) Prec@1 48.047 (47.265) Prec@5 73.438 (72.632)
Epoch: [68][1070/5005] Time 0.208 (0.214) Data 0.044 (0.049) Loss 2.2282 (2.3099) Prec@1 44.531 (47.264) Prec@5 73.828 (72.623)
Epoch: [68][1080/5005] Time 0.206 (0.214) Data 0.043 (0.049) Loss 2.3548 (2.3102) Prec@1 46.484 (47.257) Prec@5 73.438 (72.623)
Epoch: [68][1090/5005] Time 0.215 (0.214) Data 0.043 (0.049) Loss 2.1546 (2.3098) Prec@1 47.266 (47.252) Prec@5 74.609 (72.625)
Epoch: [68][1100/5005] Time 0.209 (0.214) Data 0.044 (0.049) Loss 2.1845 (2.3095) Prec@1 47.656 (47.252) Prec@5 74.219 (72.625)
Epoch: [68][1110/5005] Time 0.215 (0.214) Data 0.044 (0.049) Loss 2.3500 (2.3095) Prec@1 46.484 (47.259) Prec@5 70.312 (72.625)
Epoch: [68][1120/5005] Time 0.211 (0.214) Data 0.042 (0.049) Loss 2.2827 (2.3086) Prec@1 46.875 (47.274) Prec@5 70.312 (72.637)
Epoch: [68][1130/5005] Time 0.215 (0.214) Data 0.042 (0.049) Loss 2.4033 (2.3090) Prec@1 46.484 (47.274) Prec@5 70.312 (72.622)
Epoch: [68][1140/5005] Time 0.213 (0.214) Data 0.042 (0.049) Loss 2.3514 (2.3085) Prec@1 47.266 (47.275) Prec@5 69.922 (72.626)
Epoch: [68][1150/5005] Time 0.220 (0.214) Data 0.043 (0.049) Loss 2.2119 (2.3081) Prec@1 47.656 (47.281) Prec@5 74.219 (72.641)
Epoch: [68][1160/5005] Time 0.212 (0.214) Data 0.046 (0.049) Loss 2.3804 (2.3083) Prec@1 50.391 (47.285) Prec@5 71.484 (72.627)
Epoch: [68][1170/5005] Time 0.214 (0.214) Data 0.042 (0.049) Loss 2.3934 (2.3084) Prec@1 46.484 (47.286) Prec@5 71.484 (72.619)
Epoch: [68][1180/5005] Time 0.213 (0.214) Data 0.050 (0.049) Loss 2.3826 (2.3086) Prec@1 46.484 (47.280) Prec@5 71.484 (72.615)
Epoch: [68][1190/5005] Time 0.201 (0.214) Data 0.045 (0.049) Loss 2.1393 (2.3082) Prec@1 48.438 (47.288) Prec@5 74.219 (72.621)
Epoch: [68][1200/5005] Time 0.210 (0.214) Data 0.048 (0.049) Loss 2.5621 (2.3081) Prec@1 40.625 (47.278) Prec@5 67.578 (72.630)
Epoch: [68][1210/5005] Time 0.213 (0.214) Data 0.060 (0.048) Loss 2.3278 (2.3086) Prec@1 48.438 (47.271) Prec@5 72.266 (72.622)
Epoch: [68][1220/5005] Time 0.199 (0.214) Data 0.051 (0.049) Loss 2.2160 (2.3087) Prec@1 47.266 (47.269) Prec@5 74.219 (72.618)
Epoch: [68][1230/5005] Time 0.211 (0.214) Data 0.052 (0.049) Loss 2.3780 (2.3087) Prec@1 48.047 (47.268) Prec@5 71.875 (72.625)
Epoch: [68][1240/5005] Time 0.197 (0.214) Data 0.045 (0.049) Loss 2.4275 (2.3090) Prec@1 45.703 (47.260) Prec@5 71.484 (72.617)
Epoch: [68][1250/5005] Time 0.215 (0.214) Data 0.043 (0.049) Loss 2.6132 (2.3094) Prec@1 41.016 (47.245) Prec@5 67.188 (72.606)
Epoch: [68][1260/5005] Time 0.212 (0.214) Data 0.046 (0.049) Loss 2.0962 (2.3087) Prec@1 47.266 (47.258) Prec@5 74.609 (72.618)
Epoch: [68][1270/5005] Time 0.210 (0.214) Data 0.046 (0.048) Loss 2.3877 (2.3092) Prec@1 45.703 (47.250) Prec@5 69.922 (72.606)
Epoch: [68][1280/5005] Time 0.215 (0.214) Data 0.044 (0.048) Loss 2.3008 (2.3095) Prec@1 48.438 (47.249) Prec@5 69.531 (72.607)
Epoch: [68][1290/5005] Time 0.211 (0.214) Data 0.042 (0.048) Loss 2.2109 (2.3092) Prec@1 47.266 (47.257) Prec@5 70.312 (72.599)
Epoch: [68][1300/5005] Time 0.214 (0.214) Data 0.043 (0.048) Loss 2.0990 (2.3089) Prec@1 49.609 (47.261) Prec@5 72.656 (72.606)
Epoch: [68][1310/5005] Time 0.204 (0.214) Data 0.042 (0.048) Loss 2.3411 (2.3090) Prec@1 44.141 (47.256) Prec@5 71.875 (72.605)
Epoch: [68][1320/5005] Time 0.203 (0.214) Data 0.043 (0.048) Loss 2.4467 (2.3092) Prec@1 44.922 (47.253) Prec@5 71.484 (72.609)
Epoch: [68][1330/5005] Time 0.213 (0.214) Data 0.049 (0.048) Loss 2.4204 (2.3095) Prec@1 43.359 (47.245) Prec@5 71.875 (72.598)
Epoch: [68][1340/5005] Time 0.206 (0.214) Data 0.048 (0.048) Loss 2.2525 (2.3092) Prec@1 49.609 (47.255) Prec@5 73.828 (72.602)
Epoch: [68][1350/5005] Time 0.208 (0.214) Data 0.045 (0.048) Loss 2.6234 (2.3096) Prec@1 46.484 (47.251) Prec@5 63.281 (72.594)
Epoch: [68][1360/5005] Time 0.206 (0.214) Data 0.061 (0.048) Loss 2.1290 (2.3093) Prec@1 51.172 (47.259) Prec@5 74.219 (72.597)
Epoch: [68][1370/5005] Time 0.213 (0.214) Data 0.046 (0.048) Loss 2.3399 (2.3089) Prec@1 46.875 (47.255) Prec@5 70.703 (72.609)
Epoch: [68][1380/5005] Time 0.212 (0.213) Data 0.045 (0.048) Loss 2.3191 (2.3086) Prec@1 47.656 (47.266) Prec@5 74.609 (72.615)
Epoch: [68][1390/5005] Time 0.205 (0.213) Data 0.059 (0.048) Loss 2.2462 (2.3087) Prec@1 50.781 (47.273) Prec@5 76.562 (72.618)
Epoch: [68][1400/5005] Time 0.210 (0.213) Data 0.043 (0.048) Loss 2.2333 (2.3078) Prec@1 51.172 (47.291) Prec@5 72.656 (72.626)
Epoch: [68][1410/5005] Time 0.212 (0.213) Data 0.042 (0.048) Loss 2.3558 (2.3075) Prec@1 47.656 (47.295) Prec@5 73.828 (72.638)
Epoch: [68][1420/5005] Time 0.204 (0.213) Data 0.043 (0.048) Loss 2.4530 (2.3078) Prec@1 47.266 (47.285) Prec@5 72.266 (72.637)
Epoch: [68][1430/5005] Time 0.206 (0.213) Data 0.043 (0.048) Loss 1.9929 (2.3074) Prec@1 51.562 (47.299) Prec@5 78.125 (72.641)
Epoch: [68][1440/5005] Time 0.216 (0.213) Data 0.041 (0.048) Loss 2.0585 (2.3070) Prec@1 52.344 (47.302) Prec@5 79.688 (72.649)
Epoch: [68][1450/5005] Time 0.200 (0.213) Data 0.057 (0.048) Loss 2.2232 (2.3066) Prec@1 51.953 (47.307) Prec@5 75.391 (72.654)
Epoch: [68][1460/5005] Time 0.206 (0.213) Data 0.059 (0.048) Loss 2.3739 (2.3065) Prec@1 45.312 (47.310) Prec@5 71.875 (72.658)
Epoch: [68][1470/5005] Time 0.210 (0.213) Data 0.059 (0.048) Loss 2.3960 (2.3068) Prec@1 47.266 (47.310) Prec@5 73.828 (72.657)
Epoch: [68][1480/5005] Time 0.216 (0.213) Data 0.046 (0.048) Loss 2.2606 (2.3068) Prec@1 48.828 (47.315) Prec@5 74.219 (72.662)
Epoch: [68][1490/5005] Time 0.209 (0.213) Data 0.057 (0.048) Loss 2.4710 (2.3066) Prec@1 47.266 (47.320) Prec@5 70.703 (72.667)
Epoch: [68][1500/5005] Time 0.217 (0.213) Data 0.043 (0.048) Loss 2.3295 (2.3063) Prec@1 47.266 (47.321) Prec@5 69.922 (72.671)
Epoch: [68][1510/5005] Time 0.217 (0.213) Data 0.044 (0.048) Loss 2.1753 (2.3061) Prec@1 50.000 (47.326) Prec@5 73.047 (72.676)
Epoch: [68][1520/5005] Time 0.210 (0.213) Data 0.043 (0.048) Loss 2.4524 (2.3059) Prec@1 43.750 (47.323) Prec@5 71.094 (72.677)
Epoch: [68][1530/5005] Time 0.213 (0.213) Data 0.042 (0.048) Loss 2.3762 (2.3061) Prec@1 46.875 (47.320) Prec@5 70.312 (72.674)
Epoch: [68][1540/5005] Time 0.208 (0.213) Data 0.043 (0.048) Loss 2.4213 (2.3063) Prec@1 46.094 (47.318) Prec@5 66.797 (72.666)
Epoch: [68][1550/5005] Time 0.215 (0.213) Data 0.042 (0.048) Loss 2.1900 (2.3061) Prec@1 51.953 (47.318) Prec@5 73.828 (72.673)
Epoch: [68][1560/5005] Time 0.217 (0.213) Data 0.043 (0.048) Loss 2.1582 (2.3060) Prec@1 46.094 (47.322) Prec@5 76.953 (72.675)
Epoch: [68][1570/5005] Time 0.208 (0.213) Data 0.044 (0.048) Loss 2.2126 (2.3057) Prec@1 48.828 (47.330) Prec@5 75.391 (72.682)
Epoch: [68][1580/5005] Time 0.212 (0.213) Data 0.046 (0.048) Loss 2.1727 (2.3058) Prec@1 49.219 (47.325) Prec@5 73.828 (72.677)
Epoch: [68][1590/5005] Time 0.206 (0.213) Data 0.041 (0.048) Loss 2.1151 (2.3060) Prec@1 50.391 (47.316) Prec@5 75.000 (72.675)
Epoch: [68][1600/5005] Time 0.212 (0.213) Data 0.041 (0.048) Loss 2.3485 (2.3062) Prec@1 49.609 (47.311) Prec@5 71.094 (72.672)
Epoch: [68][1610/5005] Time 0.204 (0.213) Data 0.047 (0.048) Loss 2.4279 (2.3060) Prec@1 44.531 (47.322) Prec@5 69.141 (72.674)
Epoch: [68][1620/5005] Time 0.215 (0.213) Data 0.045 (0.048) Loss 2.4864 (2.3058) Prec@1 40.625 (47.325) Prec@5 68.750 (72.674)
Epoch: [68][1630/5005] Time 0.212 (0.213) Data 0.043 (0.048) Loss 2.2269 (2.3058) Prec@1 48.828 (47.324) Prec@5 73.828 (72.672)
Epoch: [68][1640/5005] Time 0.210 (0.213) Data 0.042 (0.048) Loss 2.3832 (2.3063) Prec@1 49.609 (47.315) Prec@5 69.531 (72.665)
Epoch: [68][1650/5005] Time 0.210 (0.213) Data 0.043 (0.048) Loss 2.3661 (2.3064) Prec@1 45.312 (47.319) Prec@5 73.828 (72.659)
Epoch: [68][1660/5005] Time 0.207 (0.213) Data 0.041 (0.048) Loss 2.1591 (2.3059) Prec@1 52.344 (47.334) Prec@5 73.828 (72.669)
Epoch: [68][1670/5005] Time 0.212 (0.213) Data 0.044 (0.048) Loss 2.1954 (2.3060) Prec@1 46.875 (47.329) Prec@5 75.000 (72.669)
Epoch: [68][1680/5005] Time 0.206 (0.213) Data 0.041 (0.048) Loss 2.3803 (2.3063) Prec@1 48.828 (47.328) Prec@5 71.875 (72.663)
Epoch: [68][1690/5005] Time 0.212 (0.213) Data 0.045 (0.048) Loss 2.3117 (2.3061) Prec@1 46.094 (47.324) Prec@5 71.875 (72.667)
Epoch: [68][1700/5005] Time 0.212 (0.213) Data 0.042 (0.048) Loss 2.3573 (2.3057) Prec@1 47.656 (47.329) Prec@5 71.094 (72.670)
Epoch: [68][1710/5005] Time 0.210 (0.213) Data 0.042 (0.048) Loss 2.1849 (2.3050) Prec@1 50.391 (47.341) Prec@5 73.438 (72.680)
Epoch: [68][1720/5005] Time 0.207 (0.213) Data 0.054 (0.048) Loss 2.3990 (2.3052) Prec@1 46.094 (47.334) Prec@5 70.703 (72.679)
Epoch: [68][1730/5005] Time 0.205 (0.213) Data 0.045 (0.048) Loss 2.2673 (2.3051) Prec@1 41.406 (47.331) Prec@5 74.219 (72.686)
Epoch: [68][1740/5005] Time 0.215 (0.213) Data 0.065 (0.048) Loss 2.4537 (2.3048) Prec@1 42.188 (47.331) Prec@5 69.141 (72.687)
Epoch: [68][1750/5005] Time 0.208 (0.213) Data 0.043 (0.048) Loss 2.2409 (2.3043) Prec@1 50.391 (47.339) Prec@5 74.219 (72.695)
Epoch: [68][1760/5005] Time 0.202 (0.213) Data 0.058 (0.048) Loss 2.0511 (2.3040) Prec@1 52.344 (47.345) Prec@5 78.516 (72.704)
Epoch: [68][1770/5005] Time 0.212 (0.213) Data 0.042 (0.048) Loss 2.3659 (2.3039) Prec@1 45.312 (47.344) Prec@5 71.875 (72.706)
Epoch: [68][1780/5005] Time 0.212 (0.213) Data 0.048 (0.048) Loss 2.2622 (2.3040) Prec@1 46.875 (47.343) Prec@5 72.266 (72.702)
Epoch: [68][1790/5005] Time 0.202 (0.213) Data 0.043 (0.048) Loss 2.2560 (2.3037) Prec@1 49.219 (47.348) Prec@5 71.094 (72.706)
Epoch: [68][1800/5005] Time 0.208 (0.213) Data 0.053 (0.048) Loss 2.1415 (2.3033) Prec@1 49.219 (47.357) Prec@5 76.172 (72.710)
Epoch: [68][1810/5005] Time 0.202 (0.213) Data 0.045 (0.048) Loss 2.1380 (2.3028) Prec@1 51.172 (47.363) Prec@5 74.609 (72.714)
Epoch: [68][1820/5005] Time 0.215 (0.213) Data 0.046 (0.048) Loss 2.3525 (2.3028) Prec@1 43.750 (47.364) Prec@5 71.484 (72.714)
Epoch: [68][1830/5005] Time 0.207 (0.213) Data 0.041 (0.048) Loss 2.2525 (2.3024) Prec@1 48.438 (47.365) Prec@5 72.266 (72.718)
Epoch: [68][1840/5005] Time 0.212 (0.213) Data 0.047 (0.048) Loss 2.4181 (2.3023) Prec@1 44.141 (47.370) Prec@5 71.484 (72.719)
Epoch: [68][1850/5005] Time 0.208 (0.213) Data 0.052 (0.048) Loss 2.3167 (2.3021) Prec@1 49.609 (47.372) Prec@5 76.562 (72.722)
Epoch: [68][1860/5005] Time 0.206 (0.213) Data 0.045 (0.048) Loss 2.2210 (2.3022) Prec@1 47.656 (47.366) Prec@5 73.828 (72.721)
Epoch: [68][1870/5005] Time 0.205 (0.213) Data 0.042 (0.048) Loss 2.5005 (2.3024) Prec@1 43.359 (47.360) Prec@5 69.922 (72.719)
Epoch: [68][1880/5005] Time 0.217 (0.213) Data 0.044 (0.048) Loss 2.2279 (2.3026) Prec@1 50.000 (47.359) Prec@5 73.828 (72.716)
Epoch: [68][1890/5005] Time 0.219 (0.213) Data 0.042 (0.048) Loss 2.4504 (2.3027) Prec@1 43.750 (47.356) Prec@5 71.094 (72.715)
Epoch: [68][1900/5005] Time 0.212 (0.213) Data 0.044 (0.048) Loss 2.1943 (2.3034) Prec@1 43.359 (47.345) Prec@5 77.344 (72.706)
Epoch: [68][1910/5005] Time 0.198 (0.213) Data 0.055 (0.048) Loss 2.2201 (2.3034) Prec@1 47.656 (47.343) Prec@5 74.219 (72.707)
Epoch: [68][1920/5005] Time 0.210 (0.212) Data 0.043 (0.048) Loss 2.2066 (2.3033) Prec@1 46.484 (47.336) Prec@5 74.219 (72.708)
Epoch: [68][1930/5005] Time 0.212 (0.212) Data 0.042 (0.048) Loss 2.1409 (2.3031) Prec@1 50.000 (47.344) Prec@5 75.000 (72.714)
Epoch: [68][1940/5005] Time 0.216 (0.212) Data 0.042 (0.048) Loss 2.2219 (2.3029) Prec@1 51.172 (47.347) Prec@5 73.438 (72.723)
Epoch: [68][1950/5005] Time 0.199 (0.212) Data 0.059 (0.048) Loss 2.5335 (2.3029) Prec@1 41.406 (47.345) Prec@5 68.750 (72.721)
Epoch: [68][1960/5005] Time 0.217 (0.212) Data 0.044 (0.048) Loss 2.2880 (2.3027) Prec@1 46.875 (47.352) Prec@5 74.609 (72.725)
Epoch: [68][1970/5005] Time 0.212 (0.212) Data 0.042 (0.048) Loss 2.2206 (2.3029) Prec@1 48.828 (47.348) Prec@5 73.047 (72.719)
Epoch: [68][1980/5005] Time 0.210 (0.212) Data 0.041 (0.048) Loss 2.2056 (2.3027) Prec@1 51.172 (47.360) Prec@5 71.484 (72.720)
Epoch: [68][1990/5005] Time 0.213 (0.212) Data 0.041 (0.048) Loss 2.1234 (2.3025) Prec@1 46.875 (47.364) Prec@5 73.828 (72.723)
Epoch: [68][2000/5005] Time 0.196 (0.213) Data 0.043 (0.048) Loss 2.3173 (2.3028) Prec@1 50.000 (47.364) Prec@5 73.828 (72.715)
Epoch: [68][2010/5005] Time 0.200 (0.213) Data 0.043 (0.048) Loss 2.3273 (2.3030) Prec@1 45.703 (47.357) Prec@5 69.141 (72.712)
Epoch: [68][2020/5005] Time 0.201 (0.213) Data 0.043 (0.048) Loss 2.3375 (2.3030) Prec@1 45.703 (47.359) Prec@5 71.484 (72.710)
Epoch: [68][2030/5005] Time 0.202 (0.213) Data 0.043 (0.048) Loss 2.2789 (2.3032) Prec@1 50.781 (47.362) Prec@5 75.000 (72.704)
Epoch: [68][2040/5005] Time 0.205 (0.213) Data 0.050 (0.048) Loss 2.0341 (2.3027) Prec@1 50.000 (47.369) Prec@5 76.953 (72.710)
Epoch: [68][2050/5005] Time 0.214 (0.213) Data 0.046 (0.048) Loss 2.3198 (2.3024) Prec@1 47.266 (47.374) Prec@5 71.484 (72.712)
Epoch: [68][2060/5005] Time 0.200 (0.213) Data 0.056 (0.048) Loss 2.2887 (2.3024) Prec@1 45.703 (47.372) Prec@5 71.875 (72.716)
Epoch: [68][2070/5005] Time 0.210 (0.213) Data 0.042 (0.048) Loss 2.3972 (2.3027) Prec@1 43.750 (47.367) Prec@5 70.312 (72.707)
Epoch: [68][2080/5005] Time 0.218 (0.213) Data 0.053 (0.048) Loss 2.3547 (2.3026) Prec@1 42.969 (47.365) Prec@5 71.875 (72.707)
Epoch: [68][2090/5005] Time 0.208 (0.213) Data 0.051 (0.048) Loss 2.0395 (2.3022) Prec@1 51.172 (47.372) Prec@5 78.125 (72.712)
Epoch: [68][2100/5005] Time 0.209 (0.213) Data 0.049 (0.048) Loss 2.3247 (2.3020) Prec@1 49.219 (47.378) Prec@5 75.000 (72.713)
Epoch: [68][2110/5005] Time 0.224 (0.213) Data 0.049 (0.048) Loss 2.1699 (2.3021) Prec@1 52.734 (47.382) Prec@5 73.047 (72.709)
Epoch: [68][2120/5005] Time 0.206 (0.213) Data 0.046 (0.048) Loss 2.3337 (2.3020) Prec@1 44.531 (47.384) Prec@5 73.047 (72.713)
Epoch: [68][2130/5005] Time 0.206 (0.213) Data 0.044 (0.048) Loss 2.3806 (2.3015) Prec@1 41.797 (47.393) Prec@5 71.875 (72.719)
Epoch: [68][2140/5005] Time 0.225 (0.213) Data 0.047 (0.048) Loss 2.1488 (2.3014) Prec@1 46.484 (47.398) Prec@5 76.172 (72.722)
Epoch: [68][2150/5005] Time 0.195 (0.213) Data 0.059 (0.048) Loss 2.0942 (2.3014) Prec@1 50.781 (47.397) Prec@5 72.266 (72.719)
Epoch: [68][2160/5005] Time 0.216 (0.213) Data 0.044 (0.048) Loss 2.2980 (2.3015) Prec@1 46.875 (47.394) Prec@5 74.219 (72.722)
Epoch: [68][2170/5005] Time 0.202 (0.213) Data 0.057 (0.048) Loss 2.0977 (2.3012) Prec@1 50.781 (47.395) Prec@5 76.953 (72.724)
Epoch: [68][2180/5005] Time 0.201 (0.213) Data 0.051 (0.048) Loss 2.3737 (2.3012) Prec@1 51.562 (47.395) Prec@5 71.875 (72.725)
Epoch: [68][2190/5005] Time 0.209 (0.213) Data 0.044 (0.048) Loss 2.4979 (2.3012) Prec@1 44.531 (47.396) Prec@5 67.969 (72.726)
Epoch: [68][2200/5005] Time 0.216 (0.213) Data 0.042 (0.048) Loss 2.2773 (2.3012) Prec@1 46.484 (47.396) Prec@5 71.484 (72.728)
Epoch: [68][2210/5005] Time 0.210 (0.212) Data 0.043 (0.048) Loss 2.5109 (2.3015) Prec@1 42.969 (47.395) Prec@5 69.531 (72.723)
Epoch: [68][2220/5005] Time 0.213 (0.212) Data 0.042 (0.048) Loss 2.4472 (2.3015) Prec@1 50.391 (47.398) Prec@5 68.359 (72.718)
Epoch: [68][2230/5005] Time 0.211 (0.212) Data 0.052 (0.048) Loss 2.2950 (2.3016) Prec@1 49.219 (47.398) Prec@5 73.047 (72.718)
Epoch: [68][2240/5005] Time 0.203 (0.212) Data 0.044 (0.048) Loss 2.3178 (2.3017) Prec@1 49.219 (47.392) Prec@5 73.828 (72.719)
Epoch: [68][2250/5005] Time 0.209 (0.212) Data 0.042 (0.048) Loss 2.0520 (2.3016) Prec@1 48.438 (47.392) Prec@5 78.125 (72.724)
Epoch: [68][2260/5005] Time 0.213 (0.212) Data 0.043 (0.048) Loss 2.2006 (2.3014) Prec@1 46.875 (47.396) Prec@5 76.172 (72.730)
Epoch: [68][2270/5005] Time 0.193 (0.212) Data 0.042 (0.048) Loss 2.5653 (2.3015) Prec@1 42.188 (47.397) Prec@5 67.969 (72.725)
Epoch: [68][2280/5005] Time 0.192 (0.212) Data 0.052 (0.048) Loss 2.3739 (2.3015) Prec@1 45.312 (47.394) Prec@5 75.391 (72.728)
Epoch: [68][2290/5005] Time 0.213 (0.212) Data 0.042 (0.048) Loss 2.1450 (2.3015) Prec@1 52.734 (47.392) Prec@5 76.172 (72.729)
Epoch: [68][2300/5005] Time 0.214 (0.212) Data 0.043 (0.048) Loss 2.2099 (2.3013) Prec@1 46.484 (47.395) Prec@5 72.266 (72.732)
Epoch: [68][2310/5005] Time 0.202 (0.212) Data 0.041 (0.048) Loss 2.0987 (2.3013) Prec@1 52.344 (47.397) Prec@5 75.781 (72.733)
Epoch: [68][2320/5005] Time 0.209 (0.212) Data 0.043 (0.048) Loss 2.4808 (2.3012) Prec@1 46.875 (47.402) Prec@5 67.188 (72.732)
Epoch: [68][2330/5005] Time 0.208 (0.212) Data 0.044 (0.048) Loss 2.2113 (2.3010) Prec@1 48.828 (47.407) Prec@5 75.391 (72.738)
Epoch: [68][2340/5005] Time 0.200 (0.212) Data 0.046 (0.048) Loss 2.2977 (2.3007) Prec@1 46.484 (47.408) Prec@5 71.484 (72.737)
Epoch: [68][2350/5005] Time 0.211 (0.212) Data 0.044 (0.048) Loss 2.2526 (2.3006) Prec@1 44.922 (47.409) Prec@5 75.781 (72.738)
Epoch: [68][2360/5005] Time 0.212 (0.212) Data 0.044 (0.048) Loss 2.3292 (2.3007) Prec@1 48.438 (47.406) Prec@5 70.703 (72.737)
Epoch: [68][2370/5005] Time 0.219 (0.212) Data 0.046 (0.048) Loss 2.3639 (2.3008) Prec@1 42.578 (47.401) Prec@5 70.312 (72.736)
Epoch: [68][2380/5005] Time 0.199 (0.212) Data 0.051 (0.048) Loss 2.2333 (2.3005) Prec@1 50.000 (47.407) Prec@5 73.438 (72.741)
Epoch: [68][2390/5005] Time 0.201 (0.212) Data 0.043 (0.048) Loss 2.2369 (2.3003) Prec@1 50.000 (47.412) Prec@5 75.781 (72.745)
Epoch: [68][2400/5005] Time 0.197 (0.212) Data 0.061 (0.048) Loss 2.3095 (2.3004) Prec@1 47.266 (47.408) Prec@5 71.484 (72.744)
Epoch: [68][2410/5005] Time 0.204 (0.212) Data 0.042 (0.048) Loss 2.4811 (2.3004) Prec@1 44.531 (47.405) Prec@5 70.312 (72.744)
Epoch: [68][2420/5005] Time 0.209 (0.212) Data 0.046 (0.048) Loss 2.3946 (2.3004) Prec@1 48.438 (47.411) Prec@5 74.219 (72.747)
Epoch: [68][2430/5005] Time 0.211 (0.212) Data 0.048 (0.048) Loss 2.1812 (2.3006) Prec@1 48.828 (47.407) Prec@5 72.266 (72.740)
Epoch: [68][2440/5005] Time 0.209 (0.212) Data 0.043 (0.048) Loss 2.0485 (2.3005) Prec@1 52.344 (47.411) Prec@5 78.125 (72.739)
Epoch: [68][2450/5005] Time 0.217 (0.212) Data 0.042 (0.048) Loss 2.2139 (2.3003) Prec@1 48.828 (47.417) Prec@5 74.219 (72.741)
Epoch: [68][2460/5005] Time 0.209 (0.212) Data 0.042 (0.048) Loss 2.2912 (2.3003) Prec@1 46.094 (47.417) Prec@5 75.000 (72.741)
Epoch: [68][2470/5005] Time 0.209 (0.212) Data 0.045 (0.047) Loss 2.1200 (2.3001) Prec@1 53.516 (47.426) Prec@5 74.609 (72.747)
Epoch: [68][2480/5005] Time 0.190 (0.212) Data 0.058 (0.047) Loss 2.4326 (2.3004) Prec@1 45.703 (47.422) Prec@5 73.047 (72.744)
Epoch: [68][2490/5005] Time 0.207 (0.212) Data 0.048 (0.047) Loss 2.0429 (2.3007) Prec@1 51.172 (47.414) Prec@5 79.297 (72.740)
Epoch: [68][2500/5005] Time 0.208 (0.212) Data 0.049 (0.048) Loss 2.3087 (2.3007) Prec@1 48.047 (47.419) Prec@5 72.656 (72.742)
Epoch: [68][2510/5005] Time 0.207 (0.212) Data 0.052 (0.048) Loss 2.4626 (2.3007) Prec@1 44.531 (47.416) Prec@5 74.609 (72.743)
Epoch: [68][2520/5005] Time 0.205 (0.212) Data 0.041 (0.048) Loss 2.2856 (2.3005) Prec@1 52.734 (47.424) Prec@5 71.484 (72.743)
Epoch: [68][2530/5005] Time 0.200 (0.212) Data 0.065 (0.048) Loss 2.3329 (2.3006) Prec@1 48.828 (47.427) Prec@5 71.875 (72.744)
Epoch: [68][2540/5005] Time 0.213 (0.212) Data 0.046 (0.048) Loss 2.2011 (2.3005) Prec@1 45.312 (47.429) Prec@5 75.781 (72.745)
Epoch: [68][2550/5005] Time 0.201 (0.212) Data 0.048 (0.048) Loss 2.3150 (2.3005) Prec@1 41.406 (47.427) Prec@5 74.219 (72.750)
Epoch: [68][2560/5005] Time 0.215 (0.212) Data 0.047 (0.048) Loss 2.5430 (2.3006) Prec@1 44.141 (47.428) Prec@5 69.922 (72.744)
Epoch: [68][2570/5005] Time 0.211 (0.212) Data 0.051 (0.048) Loss 2.2565 (2.3007) Prec@1 44.141 (47.424) Prec@5 73.828 (72.743)
Epoch: [68][2580/5005] Time 0.217 (0.212) Data 0.040 (0.048) Loss 2.3919 (2.3009) Prec@1 45.703 (47.417) Prec@5 68.359 (72.741)
Epoch: [68][2590/5005] Time 0.206 (0.212) Data 0.042 (0.048) Loss 2.3085 (2.3007) Prec@1 48.438 (47.421) Prec@5 73.828 (72.746)
Epoch: [68][2600/5005] Time 0.213 (0.212) Data 0.043 (0.048) Loss 2.4933 (2.3009) Prec@1 43.750 (47.420) Prec@5 69.922 (72.739)
Epoch: [68][2610/5005] Time 0.207 (0.212) Data 0.041 (0.048) Loss 2.3468 (2.3007) Prec@1 47.266 (47.424) Prec@5 71.484 (72.741)
Epoch: [68][2620/5005] Time 0.209 (0.212) Data 0.047 (0.048) Loss 2.2748 (2.3008) Prec@1 48.047 (47.423) Prec@5 73.047 (72.740)
Epoch: [68][2630/5005] Time 0.217 (0.212) Data 0.045 (0.048) Loss 2.4084 (2.3011) Prec@1 46.875 (47.422) Prec@5 71.875 (72.737)
Epoch: [68][2640/5005] Time 0.204 (0.212) Data 0.046 (0.048) Loss 2.4961 (2.3010) Prec@1 43.359 (47.422) Prec@5 69.922 (72.735)
Epoch: [68][2650/5005] Time 0.216 (0.212) Data 0.046 (0.048) Loss 2.5980 (2.3011) Prec@1 42.578 (47.422) Prec@5 67.969 (72.731)
Epoch: [68][2660/5005] Time 0.202 (0.212) Data 0.046 (0.048) Loss 2.2172 (2.3012) Prec@1 45.703 (47.421) Prec@5 73.438 (72.727)
Epoch: [68][2670/5005] Time 0.201 (0.212) Data 0.039 (0.048) Loss 1.9706 (2.3008) Prec@1 53.516 (47.427) Prec@5 75.000 (72.731)
Epoch: [68][2680/5005] Time 0.212 (0.212) Data 0.042 (0.048) Loss 2.1897 (2.3007) Prec@1 50.391 (47.429) Prec@5 75.000 (72.732)
Epoch: [68][2690/5005] Time 0.206 (0.212) Data 0.043 (0.048) Loss 2.1467 (2.3005) Prec@1 49.219 (47.434) Prec@5 75.000 (72.737)
Epoch: [68][2700/5005] Time 0.208 (0.212) Data 0.052 (0.048) Loss 2.2205 (2.3005) Prec@1 49.219 (47.429) Prec@5 75.000 (72.739)
Epoch: [68][2710/5005] Time 0.188 (0.212) Data 0.058 (0.048) Loss 2.1048 (2.3006) Prec@1 49.219 (47.426) Prec@5 75.391 (72.739)
Epoch: [68][2720/5005] Time 0.205 (0.212) Data 0.045 (0.048) Loss 2.2402 (2.3006) Prec@1 51.562 (47.431) Prec@5 75.391 (72.739)
Epoch: [68][2730/5005] Time 0.205 (0.212) Data 0.062 (0.048) Loss 2.3291 (2.3003) Prec@1 47.656 (47.432) Prec@5 72.656 (72.742)
Epoch: [68][2740/5005] Time 0.202 (0.212) Data 0.061 (0.048) Loss 2.2077 (2.3002) Prec@1 46.484 (47.437) Prec@5 75.781 (72.745)
Epoch: [68][2750/5005] Time 0.208 (0.212) Data 0.054 (0.048) Loss 2.1533 (2.2999) Prec@1 48.438 (47.441) Prec@5 74.609 (72.747)
Epoch: [68][2760/5005] Time 0.207 (0.212) Data 0.040 (0.048) Loss 2.3106 (2.2999) Prec@1 45.312 (47.437) Prec@5 76.562 (72.748)
Epoch: [68][2770/5005] Time 0.219 (0.212) Data 0.046 (0.048) Loss 2.1613 (2.2999) Prec@1 51.172 (47.438) Prec@5 76.562 (72.749)
Epoch: [68][2780/5005] Time 0.221 (0.212) Data 0.047 (0.048) Loss 2.4401 (2.2999) Prec@1 41.797 (47.436) Prec@5 71.484 (72.749)
Epoch: [68][2790/5005] Time 0.206 (0.212) Data 0.045 (0.048) Loss 2.5390 (2.3001) Prec@1 44.141 (47.433) Prec@5 67.578 (72.746)
Epoch: [68][2800/5005] Time 0.221 (0.212) Data 0.042 (0.048) Loss 2.0893 (2.3001) Prec@1 53.906 (47.438) Prec@5 77.734 (72.748)
Epoch: [68][2810/5005] Time 0.206 (0.212) Data 0.042 (0.048) Loss 2.4489 (2.3000) Prec@1 45.312 (47.442) Prec@5 70.703 (72.748)
Epoch: [68][2820/5005] Time 0.199 (0.212) Data 0.048 (0.048) Loss 1.9701 (2.2998) Prec@1 52.344 (47.445) Prec@5 76.172 (72.753)
Epoch: [68][2830/5005] Time 0.207 (0.212) Data 0.052 (0.048) Loss 2.6151 (2.2998) Prec@1 43.750 (47.444) Prec@5 67.578 (72.750)
Epoch: [68][2840/5005] Time 0.205 (0.212) Data 0.056 (0.048) Loss 2.4270 (2.2998) Prec@1 45.312 (47.443) Prec@5 71.484 (72.749)
Epoch: [68][2850/5005] Time 0.205 (0.212) Data 0.059 (0.048) Loss 2.3771 (2.2996) Prec@1 45.703 (47.446) Prec@5 69.922 (72.751)
Epoch: [68][2860/5005] Time 0.203 (0.212) Data 0.057 (0.048) Loss 2.2423 (2.2997) Prec@1 47.266 (47.446) Prec@5 73.047 (72.750)
Epoch: [68][2870/5005] Time 0.202 (0.211) Data 0.046 (0.048) Loss 2.2275 (2.2996) Prec@1 48.438 (47.450) Prec@5 74.609 (72.751)
Epoch: [68][2880/5005] Time 0.210 (0.211) Data 0.044 (0.048) Loss 2.1746 (2.2996) Prec@1 47.656 (47.452) Prec@5 75.391 (72.750)
Epoch: [68][2890/5005] Time 0.215 (0.211) Data 0.042 (0.048) Loss 2.2474 (2.2994) Prec@1 46.094 (47.456) Prec@5 73.438 (72.752)
Epoch: [68][2900/5005] Time 0.214 (0.211) Data 0.044 (0.048) Loss 2.0445 (2.2991) Prec@1 51.953 (47.462) Prec@5 79.688 (72.759)
Epoch: [68][2910/5005] Time 0.205 (0.211) Data 0.046 (0.048) Loss 2.2127 (2.2990) Prec@1 49.219 (47.462) Prec@5 75.391 (72.762)
Epoch: [68][2920/5005] Time 0.212 (0.211) Data 0.044 (0.048) Loss 2.3764 (2.2991) Prec@1 42.969 (47.463) Prec@5 73.438 (72.765)
Epoch: [68][2930/5005] Time 0.202 (0.211) Data 0.048 (0.048) Loss 2.4695 (2.2991) Prec@1 43.359 (47.460) Prec@5 72.266 (72.767)
Epoch: [68][2940/5005] Time 0.208 (0.211) Data 0.046 (0.048) Loss 2.4739 (2.2989) Prec@1 48.438 (47.466) Prec@5 71.484 (72.772)
Epoch: [68][2950/5005] Time 0.215 (0.211) Data 0.042 (0.048) Loss 2.5534 (2.2987) Prec@1 37.500 (47.466) Prec@5 68.750 (72.775)
Epoch: [68][2960/5005] Time 0.206 (0.211) Data 0.041 (0.048) Loss 2.3547 (2.2986) Prec@1 48.438 (47.470) Prec@5 70.312 (72.778)
Epoch: [68][2970/5005] Time 0.212 (0.211) Data 0.054 (0.048) Loss 2.3161 (2.2985) Prec@1 44.141 (47.471) Prec@5 73.438 (72.778)
Epoch: [68][2980/5005] Time 0.212 (0.211) Data 0.043 (0.048) Loss 2.3432 (2.2986) Prec@1 43.359 (47.469) Prec@5 75.391 (72.778)
Epoch: [68][2990/5005] Time 0.207 (0.211) Data 0.042 (0.048) Loss 2.1939 (2.2987) Prec@1 53.125 (47.462) Prec@5 74.609 (72.777)
Epoch: [68][3000/5005] Time 0.203 (0.211) Data 0.040 (0.048) Loss 2.2005 (2.2985) Prec@1 48.438 (47.465) Prec@5 75.000 (72.780)
Epoch: [68][3010/5005] Time 0.212 (0.211) Data 0.043 (0.048) Loss 2.1666 (2.2986) Prec@1 50.391 (47.465) Prec@5 75.781 (72.781)
Epoch: [68][3020/5005] Time 0.209 (0.211) Data 0.044 (0.048) Loss 2.2443 (2.2988) Prec@1 43.750 (47.459) Prec@5 74.219 (72.778)
Epoch: [68][3030/5005] Time 0.213 (0.211) Data 0.042 (0.047) Loss 2.2949 (2.2987) Prec@1 51.172 (47.463) Prec@5 73.047 (72.778)
Epoch: [68][3040/5005] Time 0.214 (0.211) Data 0.041 (0.047) Loss 2.1342 (2.2986) Prec@1 49.219 (47.469) Prec@5 75.781 (72.778)
Epoch: [68][3050/5005] Time 0.212 (0.211) Data 0.044 (0.047) Loss 2.2971 (2.2985) Prec@1 44.141 (47.470) Prec@5 75.000 (72.781)
Epoch: [68][3060/5005] Time 0.209 (0.211) Data 0.047 (0.047) Loss 2.1266 (2.2984) Prec@1 50.391 (47.470) Prec@5 74.219 (72.785)
Epoch: [68][3070/5005] Time 0.213 (0.211) Data 0.044 (0.047) Loss 2.3190 (2.2985) Prec@1 46.875 (47.470) Prec@5 71.484 (72.785)
Epoch: [68][3080/5005] Time 0.211 (0.211) Data 0.042 (0.047) Loss 2.1642 (2.2985) Prec@1 46.484 (47.466) Prec@5 78.906 (72.788)
Epoch: [68][3090/5005] Time 0.203 (0.211) Data 0.057 (0.047) Loss 2.5837 (2.2985) Prec@1 41.016 (47.466) Prec@5 70.703 (72.792)
Epoch: [68][3100/5005] Time 0.205 (0.211) Data 0.062 (0.047) Loss 2.2555 (2.2985) Prec@1 47.266 (47.467) Prec@5 72.656 (72.790)
Epoch: [68][3110/5005] Time 0.212 (0.211) Data 0.043 (0.048) Loss 2.1106 (2.2984) Prec@1 53.125 (47.469) Prec@5 75.781 (72.790)
Epoch: [68][3120/5005] Time 0.207 (0.211) Data 0.043 (0.048) Loss 2.3127 (2.2984) Prec@1 46.484 (47.468) Prec@5 74.219 (72.790)
Epoch: [68][3130/5005] Time 0.205 (0.211) Data 0.058 (0.048) Loss 2.4310 (2.2982) Prec@1 41.016 (47.470) Prec@5 71.875 (72.791)
Epoch: [68][3140/5005] Time 0.209 (0.211) Data 0.059 (0.048) Loss 2.0988 (2.2980) Prec@1 52.734 (47.472) Prec@5 75.000 (72.796)
Epoch: [68][3150/5005] Time 0.199 (0.211) Data 0.049 (0.048) Loss 2.3235 (2.2977) Prec@1 48.438 (47.479) Prec@5 71.484 (72.802)
Epoch: [68][3160/5005] Time 0.216 (0.211) Data 0.063 (0.048) Loss 2.1522 (2.2977) Prec@1 49.219 (47.483) Prec@5 75.000 (72.799)
Epoch: [68][3170/5005] Time 0.209 (0.211) Data 0.044 (0.048) Loss 2.3191 (2.2976) Prec@1 48.828 (47.484) Prec@5 72.266 (72.798)
Epoch: [68][3180/5005] Time 0.203 (0.211) Data 0.048 (0.048) Loss 2.1794 (2.2978) Prec@1 50.781 (47.482) Prec@5 76.953 (72.794)
Epoch: [68][3190/5005] Time 0.214 (0.211) Data 0.048 (0.048) Loss 2.2965 (2.2977) Prec@1 46.875 (47.486) Prec@5 73.047 (72.798)
Epoch: [68][3200/5005] Time 0.214 (0.211) Data 0.042 (0.048) Loss 2.2574 (2.2976) Prec@1 45.312 (47.486) Prec@5 72.656 (72.800)
Epoch: [68][3210/5005] Time 0.218 (0.211) Data 0.043 (0.048) Loss 2.5289 (2.2978) Prec@1 46.484 (47.482) Prec@5 69.141 (72.801)
Epoch: [68][3220/5005] Time 0.209 (0.211) Data 0.041 (0.047) Loss 2.4338 (2.2979) Prec@1 47.656 (47.484) Prec@5 71.094 (72.797)
Epoch: [68][3230/5005] Time 0.212 (0.211) Data 0.044 (0.047) Loss 2.2379 (2.2976) Prec@1 52.734 (47.491) Prec@5 72.266 (72.801)
Epoch: [68][3240/5005] Time 0.208 (0.211) Data 0.041 (0.047) Loss 2.5886 (2.2979) Prec@1 41.016 (47.485) Prec@5 67.578 (72.794)
Epoch: [68][3250/5005] Time 0.204 (0.211) Data 0.048 (0.047) Loss 2.2216 (2.2980) Prec@1 49.609 (47.482) Prec@5 73.438 (72.792)
Epoch: [68][3260/5005] Time 0.192 (0.211) Data 0.046 (0.047) Loss 2.2319 (2.2981) Prec@1 46.094 (47.476) Prec@5 73.438 (72.789)
Epoch: [68][3270/5005] Time 0.213 (0.211) Data 0.044 (0.047) Loss 2.4500 (2.2981) Prec@1 46.484 (47.474) Prec@5 74.219 (72.788)
Epoch: [68][3280/5005] Time 0.210 (0.211) Data 0.043 (0.047) Loss 2.1733 (2.2981) Prec@1 46.484 (47.471) Prec@5 74.219 (72.787)
Epoch: [68][3290/5005] Time 0.212 (0.211) Data 0.042 (0.047) Loss 2.2736 (2.2980) Prec@1 49.219 (47.475) Prec@5 73.828 (72.790)
Epoch: [68][3300/5005] Time 0.203 (0.211) Data 0.045 (0.047) Loss 2.2585 (2.2979) Prec@1 46.094 (47.477) Prec@5 75.000 (72.791)
Epoch: [68][3310/5005] Time 0.212 (0.211) Data 0.045 (0.047) Loss 2.2547 (2.2979) Prec@1 51.562 (47.477) Prec@5 74.609 (72.789)
Epoch: [68][3320/5005] Time 0.197 (0.211) Data 0.056 (0.047) Loss 2.3929 (2.2979) Prec@1 48.828 (47.475) Prec@5 69.531 (72.788)
Epoch: [68][3330/5005] Time 0.205 (0.211) Data 0.041 (0.047) Loss 2.3295 (2.2980) Prec@1 44.922 (47.469) Prec@5 70.703 (72.783)
Epoch: [68][3340/5005] Time 0.200 (0.211) Data 0.046 (0.047) Loss 2.4348 (2.2980) Prec@1 46.484 (47.467) Prec@5 71.484 (72.782)
Epoch: [68][3350/5005] Time 0.210 (0.211) Data 0.047 (0.047) Loss 2.3913 (2.2980) Prec@1 47.656 (47.467) Prec@5 70.703 (72.782)
Epoch: [68][3360/5005] Time 0.203 (0.211) Data 0.042 (0.047) Loss 2.1590 (2.2979) Prec@1 49.219 (47.469) Prec@5 76.953 (72.782)
Epoch: [68][3370/5005] Time 0.203 (0.211) Data 0.062 (0.047) Loss 2.2645 (2.2980) Prec@1 46.875 (47.468) Prec@5 72.266 (72.782)
Epoch: [68][3380/5005] Time 0.204 (0.211) Data 0.045 (0.047) Loss 2.3656 (2.2979) Prec@1 46.875 (47.468) Prec@5 71.094 (72.783)
Epoch: [68][3390/5005] Time 0.205 (0.211) Data 0.045 (0.047) Loss 2.2497 (2.2980) Prec@1 51.172 (47.464) Prec@5 72.656 (72.782)
Epoch: [68][3400/5005] Time 0.207 (0.211) Data 0.042 (0.047) Loss 2.2123 (2.2981) Prec@1 48.438 (47.464) Prec@5 76.172 (72.781)
Epoch: [68][3410/5005] Time 0.206 (0.211) Data 0.048 (0.047) Loss 2.1986 (2.2979) Prec@1 48.828 (47.465) Prec@5 76.172 (72.786)
Epoch: [68][3420/5005] Time 0.203 (0.211) Data 0.063 (0.047) Loss 2.2600 (2.2978) Prec@1 48.047 (47.464) Prec@5 74.219 (72.789)
Epoch: [68][3430/5005] Time 0.201 (0.211) Data 0.050 (0.047) Loss 2.2551 (2.2978) Prec@1 47.656 (47.465) Prec@5 73.047 (72.790)
Epoch: [68][3440/5005] Time 0.214 (0.211) Data 0.046 (0.047) Loss 2.2924 (2.2977) Prec@1 50.000 (47.467) Prec@5 71.875 (72.790)
Epoch: [68][3450/5005] Time 0.214 (0.211) Data 0.044 (0.047) Loss 2.1835 (2.2976) Prec@1 49.609 (47.469) Prec@5 71.875 (72.792)
Epoch: [68][3460/5005] Time 0.207 (0.211) Data 0.047 (0.047) Loss 2.3080 (2.2978) Prec@1 47.266 (47.469) Prec@5 74.609 (72.792)
Epoch: [68][3470/5005] Time 0.213 (0.211) Data 0.043 (0.047) Loss 2.1599 (2.2975) Prec@1 52.344 (47.477) Prec@5 75.391 (72.794)
Epoch: [68][3480/5005] Time 0.209 (0.211) Data 0.048 (0.047) Loss 2.2589 (2.2973) Prec@1 50.000 (47.480) Prec@5 71.484 (72.797)
Epoch: [68][3490/5005] Time 0.214 (0.211) Data 0.043 (0.047) Loss 2.4259 (2.2973) Prec@1 45.703 (47.481) Prec@5 69.141 (72.797)
Epoch: [68][3500/5005] Time 0.208 (0.211) Data 0.057 (0.047) Loss 2.0632 (2.2973) Prec@1 50.781 (47.479) Prec@5 76.953 (72.797)
Epoch: [68][3510/5005] Time 0.198 (0.211) Data 0.046 (0.047) Loss 2.1569 (2.2972) Prec@1 48.047 (47.481) Prec@5 76.562 (72.800)
Epoch: [68][3520/5005] Time 0.214 (0.211) Data 0.044 (0.047) Loss 2.3898 (2.2971) Prec@1 45.703 (47.483) Prec@5 69.531 (72.798)
Epoch: [68][3530/5005] Time 0.205 (0.211) Data 0.050 (0.047) Loss 2.3519 (2.2971) Prec@1 44.922 (47.486) Prec@5 72.266 (72.798)
Epoch: [68][3540/5005] Time 0.193 (0.211) Data 0.047 (0.047) Loss 2.1905 (2.2969) Prec@1 48.828 (47.488) Prec@5 76.953 (72.803)
Epoch: [68][3550/5005] Time 0.209 (0.211) Data 0.042 (0.047) Loss 2.3508 (2.2968) Prec@1 43.359 (47.488) Prec@5 73.047 (72.804)
Epoch: [68][3560/5005] Time 0.211 (0.211) Data 0.042 (0.047) Loss 2.2944 (2.2967) Prec@1 44.141 (47.489) Prec@5 71.875 (72.804)
Epoch: [68][3570/5005] Time 0.204 (0.211) Data 0.047 (0.047) Loss 2.3683 (2.2968) Prec@1 49.219 (47.489) Prec@5 73.438 (72.803)
Epoch: [68][3580/5005] Time 0.202 (0.211) Data 0.045 (0.047) Loss 2.1996 (2.2968) Prec@1 49.609 (47.487) Prec@5 75.391 (72.802)
Epoch: [68][3590/5005] Time 0.210 (0.211) Data 0.043 (0.047) Loss 2.4248 (2.2964) Prec@1 45.312 (47.495) Prec@5 69.531 (72.807)
Epoch: [68][3600/5005] Time 0.196 (0.211) Data 0.041 (0.047) Loss 2.4364 (2.2962) Prec@1 48.438 (47.497) Prec@5 74.219 (72.811)
Epoch: [68][3610/5005] Time 0.210 (0.211) Data 0.047 (0.047) Loss 2.1751 (2.2963) Prec@1 51.562 (47.499) Prec@5 74.609 (72.810)
Epoch: [68][3620/5005] Time 0.203 (0.211) Data 0.045 (0.047) Loss 2.4292 (2.2960) Prec@1 44.141 (47.507) Prec@5 69.922 (72.816)
Epoch: [68][3630/5005] Time 0.202 (0.211) Data 0.049 (0.047) Loss 2.4404 (2.2958) Prec@1 46.875 (47.510) Prec@5 71.094 (72.820)
Epoch: [68][3640/5005] Time 0.212 (0.211) Data 0.044 (0.047) Loss 2.2751 (2.2958) Prec@1 45.703 (47.511) Prec@5 73.438 (72.820)
Epoch: [68][3650/5005] Time 0.206 (0.211) Data 0.050 (0.047) Loss 2.1450 (2.2958) Prec@1 55.078 (47.511) Prec@5 76.172 (72.819)
Epoch: [68][3660/5005] Time 0.196 (0.211) Data 0.056 (0.047) Loss 2.2848 (2.2955) Prec@1 46.875 (47.514) Prec@5 70.703 (72.822)
Epoch: [68][3670/5005] Time 0.203 (0.211) Data 0.044 (0.047) Loss 2.3725 (2.2955) Prec@1 48.438 (47.513) Prec@5 72.656 (72.823)
Epoch: [68][3680/5005] Time 0.215 (0.211) Data 0.054 (0.047) Loss 2.1521 (2.2956) Prec@1 48.438 (47.513) Prec@5 78.125 (72.824)
Epoch: [68][3690/5005] Time 0.203 (0.211) Data 0.061 (0.047) Loss 2.0773 (2.2955) Prec@1 48.438 (47.512) Prec@5 76.172 (72.827)
Epoch: [68][3700/5005] Time 0.213 (0.211) Data 0.049 (0.047) Loss 2.3286 (2.2955) Prec@1 50.000 (47.513) Prec@5 73.828 (72.827)
Epoch: [68][3710/5005] Time 0.204 (0.211) Data 0.042 (0.047) Loss 2.2700 (2.2956) Prec@1 46.484 (47.509) Prec@5 71.484 (72.827)
Epoch: [68][3720/5005] Time 0.218 (0.211) Data 0.045 (0.047) Loss 2.4127 (2.2957) Prec@1 49.609 (47.507) Prec@5 72.266 (72.829)
Epoch: [68][3730/5005] Time 0.191 (0.211) Data 0.045 (0.047) Loss 2.2251 (2.2956) Prec@1 47.656 (47.507) Prec@5 75.391 (72.830)
Epoch: [68][3740/5005] Time 0.212 (0.211) Data 0.054 (0.047) Loss 2.1785 (2.2952) Prec@1 51.953 (47.514) Prec@5 74.219 (72.836)
Epoch: [68][3750/5005] Time 0.205 (0.211) Data 0.044 (0.047) Loss 2.0929 (2.2954) Prec@1 50.391 (47.510) Prec@5 79.688 (72.835)
Epoch: [68][3760/5005] Time 0.202 (0.211) Data 0.045 (0.047) Loss 2.2771 (2.2955) Prec@1 44.922 (47.504) Prec@5 71.484 (72.833)
Epoch: [68][3770/5005] Time 0.214 (0.211) Data 0.041 (0.047) Loss 2.3028 (2.2954) Prec@1 46.094 (47.504) Prec@5 71.875 (72.835)
Epoch: [68][3780/5005] Time 0.201 (0.211) Data 0.046 (0.047) Loss 2.2603 (2.2954) Prec@1 48.047 (47.507) Prec@5 71.875 (72.836)
Epoch: [68][3790/5005] Time 0.211 (0.211) Data 0.050 (0.047) Loss 2.4084 (2.2954) Prec@1 46.875 (47.506) Prec@5 68.750 (72.835)
Epoch: [68][3800/5005] Time 0.211 (0.211) Data 0.043 (0.047) Loss 2.2375 (2.2955) Prec@1 43.359 (47.505) Prec@5 73.438 (72.833)
Epoch: [68][3810/5005] Time 0.209 (0.211) Data 0.043 (0.047) Loss 2.1185 (2.2956) Prec@1 52.344 (47.500) Prec@5 78.125 (72.830)
Epoch: [68][3820/5005] Time 0.209 (0.211) Data 0.042 (0.047) Loss 2.2075 (2.2954) Prec@1 46.875 (47.507) Prec@5 72.266 (72.834)
Epoch: [68][3830/5005] Time 0.206 (0.211) Data 0.045 (0.047) Loss 2.3887 (2.2952) Prec@1 43.359 (47.511) Prec@5 70.703 (72.839)
Epoch: [68][3840/5005] Time 0.205 (0.211) Data 0.046 (0.047) Loss 2.4361 (2.2952) Prec@1 41.016 (47.507) Prec@5 71.875 (72.837)
Epoch: [68][3850/5005] Time 0.209 (0.211) Data 0.044 (0.047) Loss 2.3286 (2.2951) Prec@1 46.484 (47.507) Prec@5 74.219 (72.843)
Epoch: [68][3860/5005] Time 0.211 (0.211) Data 0.043 (0.047) Loss 2.0825 (2.2952) Prec@1 53.906 (47.508) Prec@5 73.047 (72.841)
Epoch: [68][3870/5005] Time 0.194 (0.211) Data 0.041 (0.047) Loss 2.2710 (2.2952) Prec@1 47.656 (47.504) Prec@5 72.266 (72.836)
Epoch: [68][3880/5005] Time 0.202 (0.211) Data 0.062 (0.047) Loss 2.1760 (2.2953) Prec@1 52.734 (47.504) Prec@5 76.172 (72.836)
Epoch: [68][3890/5005] Time 0.214 (0.211) Data 0.044 (0.047) Loss 2.5479 (2.2953) Prec@1 42.969 (47.505) Prec@5 66.797 (72.834)
Epoch: [68][3900/5005] Time 0.205 (0.211) Data 0.040 (0.047) Loss 2.5998 (2.2954) Prec@1 42.578 (47.504) Prec@5 66.406 (72.834)
Epoch: [68][3910/5005] Time 0.213 (0.211) Data 0.041 (0.047) Loss 2.3677 (2.2954) Prec@1 45.703 (47.504) Prec@5 71.875 (72.832)
Epoch: [68][3920/5005] Time 0.208 (0.211) Data 0.043 (0.047) Loss 2.3223 (2.2954) Prec@1 46.875 (47.504) Prec@5 71.875 (72.831)
Epoch: [68][3930/5005] Time 0.203 (0.211) Data 0.053 (0.047) Loss 2.3299 (2.2952) Prec@1 48.438 (47.505) Prec@5 71.484 (72.834)
Epoch: [68][3940/5005] Time 0.216 (0.211) Data 0.044 (0.047) Loss 2.3123 (2.2951) Prec@1 48.828 (47.504) Prec@5 71.875 (72.835)
Epoch: [68][3950/5005] Time 0.209 (0.211) Data 0.047 (0.047) Loss 2.1430 (2.2949) Prec@1 50.000 (47.508) Prec@5 77.734 (72.837)
Epoch: [68][3960/5005] Time 0.206 (0.211) Data 0.040 (0.047) Loss 2.2789 (2.2949) Prec@1 48.828 (47.509) Prec@5 74.219 (72.839)
Epoch: [68][3970/5005] Time 0.203 (0.211) Data 0.044 (0.047) Loss 2.1873 (2.2947) Prec@1 49.609 (47.510) Prec@5 75.391 (72.840)
Epoch: [68][3980/5005] Time 0.204 (0.211) Data 0.042 (0.047) Loss 2.0818 (2.2947) Prec@1 51.953 (47.513) Prec@5 76.953 (72.842)
Epoch: [68][3990/5005] Time 0.206 (0.211) Data 0.041 (0.047) Loss 2.4485 (2.2947) Prec@1 46.094 (47.513) Prec@5 70.703 (72.841)
Epoch: [68][4000/5005] Time 0.205 (0.211) Data 0.043 (0.047) Loss 2.1673 (2.2948) Prec@1 46.875 (47.511) Prec@5 75.000 (72.841)
Epoch: [68][4010/5005] Time 0.201 (0.211) Data 0.048 (0.047) Loss 2.3474 (2.2945) Prec@1 40.234 (47.515) Prec@5 72.266 (72.847)
Epoch: [68][4020/5005] Time 0.213 (0.211) Data 0.042 (0.047) Loss 2.4397 (2.2945) Prec@1 45.312 (47.517) Prec@5 68.750 (72.848)
Epoch: [68][4030/5005] Time 0.212 (0.211) Data 0.042 (0.047) Loss 2.5130 (2.2948) Prec@1 43.750 (47.513) Prec@5 67.969 (72.841)
Epoch: [68][4040/5005] Time 0.209 (0.211) Data 0.038 (0.047) Loss 2.3872 (2.2949) Prec@1 42.188 (47.508) Prec@5 70.703 (72.839)
Epoch: [68][4050/5005] Time 0.207 (0.211) Data 0.042 (0.047) Loss 2.4107 (2.2948) Prec@1 43.750 (47.509) Prec@5 69.922 (72.842)
Epoch: [68][4060/5005] Time 0.214 (0.211) Data 0.043 (0.047) Loss 2.3987 (2.2948) Prec@1 41.797 (47.510) Prec@5 69.922 (72.843)
Epoch: [68][4070/5005] Time 0.217 (0.211) Data 0.044 (0.047) Loss 2.3702 (2.2948) Prec@1 43.359 (47.508) Prec@5 75.391 (72.845)
Epoch: [68][4080/5005] Time 0.204 (0.211) Data 0.050 (0.047) Loss 2.2028 (2.2947) Prec@1 46.875 (47.507) Prec@5 73.438 (72.843)
Epoch: [68][4090/5005] Time 0.212 (0.211) Data 0.046 (0.047) Loss 2.3088 (2.2947) Prec@1 50.781 (47.510) Prec@5 74.609 (72.843)
Epoch: [68][4100/5005] Time 0.205 (0.211) Data 0.054 (0.047) Loss 2.1436 (2.2945) Prec@1 48.438 (47.510) Prec@5 77.344 (72.845)
Epoch: [68][4110/5005] Time 0.211 (0.211) Data 0.045 (0.047) Loss 2.3387 (2.2944) Prec@1 46.094 (47.511) Prec@5 70.703 (72.846)
Epoch: [68][4120/5005] Time 0.212 (0.211) Data 0.042 (0.047) Loss 2.3944 (2.2944) Prec@1 45.312 (47.515) Prec@5 72.266 (72.847)
Epoch: [68][4130/5005] Time 0.209 (0.211) Data 0.043 (0.047) Loss 2.4991 (2.2943) Prec@1 40.625 (47.514) Prec@5 71.094 (72.849)
Epoch: [68][4140/5005] Time 0.203 (0.211) Data 0.050 (0.047) Loss 2.4054 (2.2942) Prec@1 47.266 (47.513) Prec@5 70.703 (72.850)
Epoch: [68][4150/5005] Time 0.210 (0.211) Data 0.044 (0.047) Loss 2.4245 (2.2942) Prec@1 46.875 (47.514) Prec@5 71.094 (72.850)
Epoch: [68][4160/5005] Time 0.217 (0.211) Data 0.048 (0.047) Loss 2.2797 (2.2944) Prec@1 45.312 (47.515) Prec@5 74.219 (72.849)
Epoch: [68][4170/5005] Time 0.209 (0.211) Data 0.045 (0.047) Loss 2.1158 (2.2941) Prec@1 47.266 (47.518) Prec@5 76.953 (72.854)
Epoch: [68][4180/5005] Time 0.210 (0.211) Data 0.044 (0.047) Loss 2.1812 (2.2941) Prec@1 50.391 (47.520) Prec@5 72.656 (72.853)
Epoch: [68][4190/5005] Time 0.209 (0.211) Data 0.046 (0.047) Loss 2.1121 (2.2941) Prec@1 48.828 (47.518) Prec@5 73.438 (72.848)
Epoch: [68][4200/5005] Time 0.207 (0.211) Data 0.045 (0.047) Loss 2.1131 (2.2940) Prec@1 51.172 (47.519) Prec@5 77.734 (72.852)
Epoch: [68][4210/5005] Time 0.211 (0.211) Data 0.042 (0.047) Loss 2.0887 (2.2940) Prec@1 50.000 (47.520) Prec@5 78.125 (72.853)
Epoch: [68][4220/5005] Time 0.215 (0.211) Data 0.045 (0.047) Loss 2.4618 (2.2942) Prec@1 42.188 (47.518) Prec@5 70.703 (72.852)
Epoch: [68][4230/5005] Time 0.211 (0.211) Data 0.042 (0.047) Loss 2.2629 (2.2942) Prec@1 43.359 (47.515) Prec@5 73.828 (72.851)
Epoch: [68][4240/5005] Time 0.204 (0.211) Data 0.045 (0.047) Loss 2.2273 (2.2943) Prec@1 44.531 (47.511) Prec@5 77.734 (72.853)
Epoch: [68][4250/5005] Time 0.208 (0.211) Data 0.042 (0.047) Loss 2.2310 (2.2942) Prec@1 50.781 (47.515) Prec@5 72.656 (72.855)
Epoch: [68][4260/5005] Time 0.211 (0.211) Data 0.042 (0.047) Loss 2.2167 (2.2942) Prec@1 46.875 (47.513) Prec@5 76.172 (72.857)
Epoch: [68][4270/5005] Time 0.213 (0.211) Data 0.042 (0.047) Loss 2.5442 (2.2943) Prec@1 46.875 (47.514) Prec@5 69.141 (72.857)
Epoch: [68][4280/5005] Time 0.208 (0.211) Data 0.045 (0.047) Loss 2.4046 (2.2943) Prec@1 44.531 (47.515) Prec@5 71.484 (72.856)
Epoch: [68][4290/5005] Time 0.212 (0.211) Data 0.042 (0.047) Loss 2.4398 (2.2943) Prec@1 48.047 (47.510) Prec@5 71.875 (72.855)
Epoch: [68][4300/5005] Time 0.208 (0.211) Data 0.043 (0.047) Loss 2.0871 (2.2942) Prec@1 50.000 (47.512) Prec@5 76.172 (72.858)
Epoch: [68][4310/5005] Time 0.211 (0.211) Data 0.044 (0.047) Loss 2.1633 (2.2941) Prec@1 49.609 (47.513) Prec@5 75.000 (72.859)
Epoch: [68][4320/5005] Time 0.209 (0.211) Data 0.043 (0.047) Loss 2.1836 (2.2941) Prec@1 51.562 (47.516) Prec@5 73.438 (72.860)
Epoch: [68][4330/5005] Time 0.206 (0.211) Data 0.042 (0.047) Loss 2.2595 (2.2941) Prec@1 47.656 (47.516) Prec@5 73.047 (72.859)
Epoch: [68][4340/5005] Time 0.211 (0.211) Data 0.044 (0.047) Loss 2.2666 (2.2942) Prec@1 51.172 (47.516) Prec@5 69.922 (72.856)
Epoch: [68][4350/5005] Time 0.209 (0.211) Data 0.044 (0.047) Loss 2.3613 (2.2941) Prec@1 49.219 (47.520) Prec@5 71.875 (72.860)
Epoch: [68][4360/5005] Time 0.205 (0.211) Data 0.043 (0.047) Loss 2.0285 (2.2939) Prec@1 48.438 (47.523) Prec@5 78.125 (72.863)
Epoch: [68][4370/5005] Time 0.218 (0.211) Data 0.041 (0.047) Loss 2.1880 (2.2939) Prec@1 48.828 (47.526) Prec@5 76.172 (72.861)
Epoch: [68][4380/5005] Time 0.198 (0.211) Data 0.043 (0.047) Loss 2.3999 (2.2940) Prec@1 44.922 (47.524) Prec@5 69.141 (72.860)
Epoch: [68][4390/5005] Time 0.213 (0.211) Data 0.043 (0.047) Loss 2.3142 (2.2938) Prec@1 44.922 (47.530) Prec@5 73.047 (72.864)
Epoch: [68][4400/5005] Time 0.204 (0.211) Data 0.042 (0.047) Loss 2.2357 (2.2938) Prec@1 47.656 (47.532) Prec@5 75.000 (72.862)
Epoch: [68][4410/5005] Time 0.208 (0.211) Data 0.042 (0.047) Loss 2.1911 (2.2937) Prec@1 46.875 (47.534) Prec@5 74.219 (72.862)
Epoch: [68][4420/5005] Time 0.211 (0.211) Data 0.044 (0.047) Loss 1.9913 (2.2936) Prec@1 51.953 (47.535) Prec@5 76.953 (72.864)
Epoch: [68][4430/5005] Time 0.215 (0.211) Data 0.047 (0.047) Loss 2.4095 (2.2934) Prec@1 42.578 (47.540) Prec@5 69.141 (72.864)
Epoch: [68][4440/5005] Time 0.213 (0.211) Data 0.044 (0.047) Loss 2.3159 (2.2934) Prec@1 47.266 (47.541) Prec@5 72.266 (72.865)
Epoch: [68][4450/5005] Time 0.207 (0.211) Data 0.043 (0.047) Loss 2.1163 (2.2933) Prec@1 49.609 (47.542) Prec@5 76.172 (72.867)
Epoch: [68][4460/5005] Time 0.210 (0.211) Data 0.044 (0.047) Loss 2.3523 (2.2932) Prec@1 45.703 (47.541) Prec@5 71.094 (72.866)
Epoch: [68][4470/5005] Time 0.212 (0.211) Data 0.043 (0.047) Loss 2.2736 (2.2933) Prec@1 48.047 (47.542) Prec@5 74.219 (72.866)
Epoch: [68][4480/5005] Time 0.209 (0.211) Data 0.040 (0.047) Loss 2.0789 (2.2934) Prec@1 51.953 (47.541) Prec@5 76.172 (72.863)
Epoch: [68][4490/5005] Time 0.204 (0.211) Data 0.045 (0.047) Loss 2.3511 (2.2934) Prec@1 43.750 (47.539) Prec@5 72.266 (72.861)
Epoch: [68][4500/5005] Time 0.200 (0.211) Data 0.048 (0.047) Loss 2.1949 (2.2935) Prec@1 49.219 (47.540) Prec@5 74.219 (72.862)
Epoch: [68][4510/5005] Time 0.215 (0.211) Data 0.046 (0.047) Loss 1.9782 (2.2935) Prec@1 55.859 (47.541) Prec@5 77.734 (72.862)
Epoch: [68][4520/5005] Time 0.213 (0.211) Data 0.044 (0.047) Loss 2.2352 (2.2933) Prec@1 48.438 (47.544) Prec@5 74.219 (72.865)
Epoch: [68][4530/5005] Time 0.213 (0.211) Data 0.044 (0.047) Loss 2.1518 (2.2932) Prec@1 50.781 (47.547) Prec@5 75.000 (72.867)
Epoch: [68][4540/5005] Time 0.211 (0.211) Data 0.044 (0.047) Loss 2.5395 (2.2934) Prec@1 43.750 (47.544) Prec@5 68.750 (72.864)
Epoch: [68][4550/5005] Time 0.200 (0.211) Data 0.051 (0.047) Loss 2.2835 (2.2933) Prec@1 45.703 (47.543) Prec@5 70.703 (72.863)
Epoch: [68][4560/5005] Time 0.204 (0.210) Data 0.057 (0.047) Loss 2.3194 (2.2933) Prec@1 48.828 (47.542) Prec@5 71.094 (72.862)
Epoch: [68][4570/5005] Time 0.212 (0.210) Data 0.051 (0.047) Loss 2.3869 (2.2932) Prec@1 48.438 (47.544) Prec@5 73.047 (72.866)
Epoch: [68][4580/5005] Time 0.221 (0.210) Data 0.048 (0.047) Loss 2.4220 (2.2931) Prec@1 45.703 (47.547) Prec@5 69.141 (72.867)
Epoch: [68][4590/5005] Time 0.212 (0.210) Data 0.048 (0.047) Loss 2.1790 (2.2932) Prec@1 48.438 (47.547) Prec@5 77.734 (72.866)
Epoch: [68][4600/5005] Time 0.200 (0.210) Data 0.041 (0.047) Loss 2.1649 (2.2931) Prec@1 52.344 (47.549) Prec@5 76.172 (72.866)
Epoch: [68][4610/5005] Time 0.211 (0.210) Data 0.043 (0.047) Loss 2.0500 (2.2931) Prec@1 51.562 (47.552) Prec@5 76.172 (72.867)
Epoch: [68][4620/5005] Time 0.209 (0.210) Data 0.051 (0.047) Loss 2.1389 (2.2931) Prec@1 51.562 (47.551) Prec@5 75.781 (72.866)
Epoch: [68][4630/5005] Time 0.206 (0.210) Data 0.042 (0.047) Loss 1.9996 (2.2930) Prec@1 51.172 (47.554) Prec@5 79.297 (72.869)
Epoch: [68][4640/5005] Time 0.206 (0.210) Data 0.046 (0.047) Loss 2.3295 (2.2929) Prec@1 48.438 (47.553) Prec@5 71.875 (72.870)
Epoch: [68][4650/5005] Time 0.218 (0.210) Data 0.046 (0.047) Loss 2.4057 (2.2929) Prec@1 45.703 (47.555) Prec@5 70.312 (72.871)
Epoch: [68][4660/5005] Time 0.204 (0.210) Data 0.048 (0.047) Loss 2.6295 (2.2929) Prec@1 42.188 (47.556) Prec@5 67.578 (72.871)
Epoch: [68][4670/5005] Time 0.206 (0.210) Data 0.044 (0.047) Loss 2.2466 (2.2927) Prec@1 49.219 (47.558) Prec@5 73.047 (72.872)
Epoch: [68][4680/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.2792 (2.2927) Prec@1 48.047 (47.557) Prec@5 74.219 (72.870)
Epoch: [68][4690/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.1914 (2.2928) Prec@1 50.000 (47.555) Prec@5 73.828 (72.871)
Epoch: [68][4700/5005] Time 0.206 (0.210) Data 0.044 (0.047) Loss 2.1386 (2.2927) Prec@1 52.344 (47.558) Prec@5 75.000 (72.872)
Epoch: [68][4710/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.1546 (2.2925) Prec@1 50.391 (47.560) Prec@5 74.609 (72.875)
Epoch: [68][4720/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.1364 (2.2925) Prec@1 50.391 (47.558) Prec@5 78.125 (72.875)
Epoch: [68][4730/5005] Time 0.201 (0.210) Data 0.056 (0.047) Loss 2.1818 (2.2926) Prec@1 48.438 (47.556) Prec@5 77.344 (72.873)
Epoch: [68][4740/5005] Time 0.219 (0.210) Data 0.044 (0.047) Loss 2.1688 (2.2925) Prec@1 44.922 (47.556) Prec@5 75.000 (72.874)
Epoch: [68][4750/5005] Time 0.210 (0.210) Data 0.046 (0.047) Loss 2.1664 (2.2924) Prec@1 50.781 (47.558) Prec@5 74.219 (72.875)
Epoch: [68][4760/5005] Time 0.206 (0.210) Data 0.046 (0.047) Loss 2.5811 (2.2923) Prec@1 39.844 (47.559) Prec@5 71.094 (72.878)
Epoch: [68][4770/5005] Time 0.206 (0.210) Data 0.043 (0.047) Loss 2.2253 (2.2923) Prec@1 50.391 (47.560) Prec@5 74.609 (72.879)
Epoch: [68][4780/5005] Time 0.202 (0.210) Data 0.046 (0.047) Loss 2.2504 (2.2923) Prec@1 48.438 (47.562) Prec@5 74.219 (72.877)
Epoch: [68][4790/5005] Time 0.207 (0.210) Data 0.047 (0.047) Loss 2.5433 (2.2924) Prec@1 42.188 (47.561) Prec@5 68.750 (72.878)
Epoch: [68][4800/5005] Time 0.206 (0.210) Data 0.043 (0.047) Loss 2.3525 (2.2922) Prec@1 49.219 (47.561) Prec@5 73.828 (72.879)
Epoch: [68][4810/5005] Time 0.204 (0.210) Data 0.043 (0.047) Loss 2.4258 (2.2922) Prec@1 42.578 (47.561) Prec@5 75.781 (72.881)
Epoch: [68][4820/5005] Time 0.197 (0.210) Data 0.041 (0.047) Loss 2.4105 (2.2921) Prec@1 43.359 (47.563) Prec@5 71.484 (72.882)
Epoch: [68][4830/5005] Time 0.211 (0.210) Data 0.044 (0.047) Loss 2.2389 (2.2919) Prec@1 48.047 (47.566) Prec@5 74.609 (72.884)
Epoch: [68][4840/5005] Time 0.193 (0.210) Data 0.058 (0.047) Loss 2.1607 (2.2920) Prec@1 50.000 (47.565) Prec@5 75.391 (72.885)
Epoch: [68][4850/5005] Time 0.220 (0.210) Data 0.043 (0.047) Loss 2.3322 (2.2921) Prec@1 45.703 (47.564) Prec@5 70.703 (72.881)
Epoch: [68][4860/5005] Time 0.206 (0.210) Data 0.047 (0.047) Loss 2.2532 (2.2920) Prec@1 48.828 (47.567) Prec@5 71.484 (72.882)
Epoch: [68][4870/5005] Time 0.206 (0.210) Data 0.044 (0.047) Loss 2.1868 (2.2921) Prec@1 51.953 (47.568) Prec@5 75.391 (72.880)
Epoch: [68][4880/5005] Time 0.205 (0.210) Data 0.045 (0.047) Loss 2.2240 (2.2920) Prec@1 50.000 (47.571) Prec@5 72.266 (72.880)
Epoch: [68][4890/5005] Time 0.208 (0.210) Data 0.041 (0.047) Loss 2.3493 (2.2919) Prec@1 45.703 (47.571) Prec@5 70.703 (72.882)
Epoch: [68][4900/5005] Time 0.209 (0.210) Data 0.046 (0.047) Loss 2.0772 (2.2918) Prec@1 50.391 (47.572) Prec@5 76.953 (72.883)
Epoch: [68][4910/5005] Time 0.211 (0.210) Data 0.041 (0.047) Loss 2.2746 (2.2917) Prec@1 46.094 (47.574) Prec@5 76.953 (72.886)
Epoch: [68][4920/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.2274 (2.2917) Prec@1 45.703 (47.574) Prec@5 72.656 (72.886)
Epoch: [68][4930/5005] Time 0.207 (0.210) Data 0.043 (0.047) Loss 2.2847 (2.2916) Prec@1 46.094 (47.573) Prec@5 73.828 (72.889)
Epoch: [68][4940/5005] Time 0.206 (0.210) Data 0.043 (0.047) Loss 2.2282 (2.2916) Prec@1 46.094 (47.572) Prec@5 75.000 (72.889)
Epoch: [68][4950/5005] Time 0.209 (0.210) Data 0.044 (0.047) Loss 1.9149 (2.2917) Prec@1 52.344 (47.571) Prec@5 81.250 (72.887)
Epoch: [68][4960/5005] Time 0.205 (0.210) Data 0.041 (0.047) Loss 2.3805 (2.2917) Prec@1 49.219 (47.572) Prec@5 69.922 (72.889)
Epoch: [68][4970/5005] Time 0.203 (0.210) Data 0.042 (0.047) Loss 2.5056 (2.2916) Prec@1 41.797 (47.573) Prec@5 69.531 (72.890)
Epoch: [68][4980/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.3189 (2.2916) Prec@1 44.922 (47.573) Prec@5 75.000 (72.891)
Epoch: [68][4990/5005] Time 0.205 (0.210) Data 0.022 (0.047) Loss 2.3801 (2.2915) Prec@1 42.578 (47.576) Prec@5 71.875 (72.891)
Epoch: [68][5000/5005] Time 0.205 (0.210) Data 0.021 (0.047) Loss 2.4098 (2.2915) Prec@1 42.188 (47.576) Prec@5 71.875 (72.891)
Test: [0/196] Time 1.466 (1.466) Loss 2.3546 (2.3546) Prec@1 48.828 (48.828) Prec@5 71.875 (71.875)
Test: [10/196] Time 0.043 (0.273) Loss 2.4242 (2.5465) Prec@1 46.484 (43.999) Prec@5 73.438 (68.999)
Test: [20/196] Time 0.337 (0.235) Loss 2.4102 (2.5404) Prec@1 47.266 (43.880) Prec@5 75.000 (69.494)
Test: [30/196] Time 0.043 (0.221) Loss 2.4611 (2.5538) Prec@1 44.531 (43.750) Prec@5 71.875 (69.254)
Test: [40/196] Time 0.043 (0.209) Loss 2.2878 (2.5457) Prec@1 50.000 (44.093) Prec@5 73.828 (69.446)
Test: [50/196] Time 0.043 (0.205) Loss 2.6593 (2.5494) Prec@1 47.266 (44.049) Prec@5 71.484 (69.585)
Test: [60/196] Time 0.042 (0.191) Loss 2.4748 (2.5344) Prec@1 45.312 (44.378) Prec@5 72.266 (69.672)
Test: [70/196] Time 0.042 (0.192) Loss 2.4604 (2.5278) Prec@1 46.094 (44.405) Prec@5 68.359 (69.718)
Test: [80/196] Time 0.234 (0.188) Loss 2.4118 (2.5337) Prec@1 51.562 (44.372) Prec@5 76.172 (69.681)
Test: [90/196] Time 0.054 (0.185) Loss 2.6623 (2.5359) Prec@1 44.922 (44.463) Prec@5 67.188 (69.664)
Test: [100/196] Time 0.045 (0.184) Loss 2.5731 (2.5342) Prec@1 46.484 (44.620) Prec@5 67.578 (69.643)
Test: [110/196] Time 0.044 (0.185) Loss 2.6863 (2.5357) Prec@1 42.969 (44.686) Prec@5 65.234 (69.630)
Test: [120/196] Time 0.044 (0.182) Loss 2.3451 (2.5323) Prec@1 43.359 (44.699) Prec@5 73.828 (69.689)
Test: [130/196] Time 0.044 (0.181) Loss 2.2178 (2.5284) Prec@1 48.438 (44.791) Prec@5 73.828 (69.731)
Test: [140/196] Time 0.867 (0.186) Loss 2.2872 (2.5288) Prec@1 50.000 (44.747) Prec@5 70.312 (69.697)
Test: [150/196] Time 0.044 (0.183) Loss 2.1477 (2.5271) Prec@1 50.000 (44.749) Prec@5 79.688 (69.761)
Test: [160/196] Time 0.104 (0.180) Loss 2.4551 (2.5254) Prec@1 49.609 (44.757) Prec@5 69.141 (69.764)
Test: [170/196] Time 0.044 (0.182) Loss 2.3784 (2.5268) Prec@1 46.094 (44.764) Prec@5 73.828 (69.723)
Test: [180/196] Time 0.136 (0.181) Loss 2.7068 (2.5312) Prec@1 42.188 (44.643) Prec@5 66.016 (69.615)
Test: [190/196] Time 0.049 (0.181) Loss 2.7307 (2.5347) Prec@1 40.625 (44.576) Prec@5 67.188 (69.499)
* Prec@1 44.576 Prec@5 69.498
Learning rate: 1e-05
Epoch: [69][0/5005] Time 1.019 (1.019) Data 0.899 (0.899) Loss 2.2638 (2.2638) Prec@1 47.266 (47.266) Prec@5 71.875 (71.875)
Epoch: [69][10/5005] Time 0.202 (0.282) Data 0.043 (0.130) Loss 2.2501 (2.3125) Prec@1 48.047 (46.839) Prec@5 72.656 (72.088)
Epoch: [69][20/5005] Time 0.201 (0.245) Data 0.046 (0.089) Loss 2.4297 (2.3220) Prec@1 45.703 (46.782) Prec@5 73.828 (72.489)
Epoch: [69][30/5005] Time 0.209 (0.231) Data 0.040 (0.075) Loss 2.3433 (2.3056) Prec@1 45.703 (46.724) Prec@5 72.656 (72.719)
Epoch: [69][40/5005] Time 0.204 (0.224) Data 0.048 (0.068) Loss 2.2351 (2.3095) Prec@1 45.312 (46.761) Prec@5 71.875 (72.675)
Epoch: [69][50/5005] Time 0.206 (0.220) Data 0.047 (0.065) Loss 2.1838 (2.3004) Prec@1 47.656 (47.051) Prec@5 76.953 (72.901)
Epoch: [69][60/5005] Time 0.208 (0.217) Data 0.061 (0.063) Loss 2.1892 (2.3014) Prec@1 50.781 (47.170) Prec@5 76.172 (72.772)
Epoch: [69][70/5005] Time 0.199 (0.215) Data 0.046 (0.061) Loss 2.3103 (2.3087) Prec@1 46.875 (46.930) Prec@5 71.094 (72.579)
Epoch: [69][80/5005] Time 0.191 (0.213) Data 0.061 (0.060) Loss 2.2028 (2.3016) Prec@1 50.000 (47.111) Prec@5 74.609 (72.627)
Epoch: [69][90/5005] Time 0.198 (0.212) Data 0.053 (0.059) Loss 2.3517 (2.2999) Prec@1 50.000 (47.210) Prec@5 75.781 (72.669)
Epoch: [69][100/5005] Time 0.195 (0.211) Data 0.044 (0.058) Loss 2.1044 (2.3015) Prec@1 51.562 (47.262) Prec@5 75.000 (72.525)
Epoch: [69][110/5005] Time 0.195 (0.210) Data 0.047 (0.057) Loss 2.3408 (2.3021) Prec@1 47.266 (47.269) Prec@5 74.219 (72.628)
Epoch: [69][120/5005] Time 0.195 (0.209) Data 0.045 (0.056) Loss 2.2299 (2.3042) Prec@1 46.484 (47.317) Prec@5 74.219 (72.637)
Epoch: [69][130/5005] Time 0.202 (0.209) Data 0.047 (0.056) Loss 2.4320 (2.3060) Prec@1 46.875 (47.340) Prec@5 69.922 (72.626)
Epoch: [69][140/5005] Time 0.214 (0.208) Data 0.047 (0.055) Loss 2.2186 (2.3050) Prec@1 48.438 (47.335) Prec@5 72.266 (72.629)
Epoch: [69][150/5005] Time 0.208 (0.208) Data 0.047 (0.055) Loss 2.4330 (2.3059) Prec@1 45.703 (47.395) Prec@5 72.656 (72.620)
Epoch: [69][160/5005] Time 0.203 (0.208) Data 0.050 (0.055) Loss 2.1946 (2.3065) Prec@1 49.219 (47.365) Prec@5 71.875 (72.613)
Epoch: [69][170/5005] Time 0.202 (0.208) Data 0.046 (0.054) Loss 2.3730 (2.3066) Prec@1 50.781 (47.446) Prec@5 71.484 (72.590)
Epoch: [69][180/5005] Time 0.213 (0.208) Data 0.052 (0.054) Loss 2.5883 (2.3082) Prec@1 44.922 (47.430) Prec@5 66.016 (72.583)
Epoch: [69][190/5005] Time 0.217 (0.209) Data 0.043 (0.053) Loss 2.5191 (2.3130) Prec@1 42.969 (47.307) Prec@5 70.703 (72.484)
Epoch: [69][200/5005] Time 0.223 (0.210) Data 0.050 (0.053) Loss 2.6583 (2.3165) Prec@1 41.406 (47.219) Prec@5 68.750 (72.425)
Epoch: [69][210/5005] Time 0.223 (0.210) Data 0.045 (0.053) Loss 2.1336 (2.3151) Prec@1 50.391 (47.230) Prec@5 74.219 (72.482)
Epoch: [69][220/5005] Time 0.219 (0.210) Data 0.045 (0.052) Loss 2.2129 (2.3137) Prec@1 47.266 (47.227) Prec@5 76.562 (72.499)
Epoch: [69][230/5005] Time 0.220 (0.211) Data 0.045 (0.052) Loss 2.4358 (2.3139) Prec@1 44.922 (47.222) Prec@5 71.484 (72.528)
Epoch: [69][240/5005] Time 0.222 (0.211) Data 0.049 (0.052) Loss 2.2058 (2.3129) Prec@1 48.438 (47.196) Prec@5 72.656 (72.504)
Epoch: [69][250/5005] Time 0.219 (0.211) Data 0.052 (0.052) Loss 2.3914 (2.3109) Prec@1 46.484 (47.259) Prec@5 71.484 (72.557)
Epoch: [69][260/5005] Time 0.210 (0.212) Data 0.047 (0.052) Loss 2.1791 (2.3096) Prec@1 51.562 (47.281) Prec@5 73.047 (72.613)
Epoch: [69][270/5005] Time 0.214 (0.212) Data 0.043 (0.051) Loss 2.3108 (2.3089) Prec@1 46.875 (47.307) Prec@5 71.484 (72.638)
Epoch: [69][280/5005] Time 0.205 (0.212) Data 0.065 (0.051) Loss 2.6181 (2.3111) Prec@1 45.312 (47.300) Prec@5 65.625 (72.573)
Epoch: [69][290/5005] Time 0.205 (0.212) Data 0.049 (0.051) Loss 2.1298 (2.3132) Prec@1 51.172 (47.268) Prec@5 73.438 (72.541)
Epoch: [69][300/5005] Time 0.213 (0.212) Data 0.045 (0.051) Loss 2.0664 (2.3134) Prec@1 49.609 (47.284) Prec@5 76.562 (72.549)
Epoch: [69][310/5005] Time 0.207 (0.212) Data 0.049 (0.051) Loss 2.2708 (2.3108) Prec@1 50.000 (47.338) Prec@5 74.609 (72.585)
Epoch: [69][320/5005] Time 0.205 (0.212) Data 0.055 (0.051) Loss 2.5608 (2.3123) Prec@1 44.922 (47.319) Prec@5 67.188 (72.553)
Epoch: [69][330/5005] Time 0.214 (0.212) Data 0.044 (0.051) Loss 2.0573 (2.3097) Prec@1 50.000 (47.344) Prec@5 74.609 (72.606)
Epoch: [69][340/5005] Time 0.219 (0.212) Data 0.042 (0.050) Loss 2.4818 (2.3140) Prec@1 45.703 (47.285) Prec@5 69.141 (72.533)
Epoch: [69][350/5005] Time 0.211 (0.212) Data 0.039 (0.050) Loss 2.5986 (2.3133) Prec@1 45.312 (47.282) Prec@5 68.359 (72.542)
Epoch: [69][360/5005] Time 0.216 (0.212) Data 0.043 (0.050) Loss 2.3376 (2.3135) Prec@1 48.828 (47.295) Prec@5 73.047 (72.527)
Epoch: [69][370/5005] Time 0.219 (0.212) Data 0.045 (0.050) Loss 2.2669 (2.3116) Prec@1 46.484 (47.327) Prec@5 73.828 (72.570)
Epoch: [69][380/5005] Time 0.209 (0.212) Data 0.042 (0.050) Loss 2.4205 (2.3116) Prec@1 46.484 (47.332) Prec@5 69.922 (72.548)
Epoch: [69][390/5005] Time 0.218 (0.212) Data 0.043 (0.050) Loss 2.2538 (2.3121) Prec@1 50.391 (47.334) Prec@5 76.172 (72.544)
Epoch: [69][400/5005] Time 0.216 (0.212) Data 0.051 (0.050) Loss 2.1873 (2.3112) Prec@1 47.266 (47.344) Prec@5 75.781 (72.539)
Epoch: [69][410/5005] Time 0.200 (0.212) Data 0.053 (0.050) Loss 2.1870 (2.3108) Prec@1 52.344 (47.362) Prec@5 72.656 (72.549)
Epoch: [69][420/5005] Time 0.215 (0.212) Data 0.047 (0.050) Loss 2.1318 (2.3110) Prec@1 51.172 (47.385) Prec@5 78.906 (72.560)
Epoch: [69][430/5005] Time 0.213 (0.212) Data 0.044 (0.050) Loss 2.1665 (2.3106) Prec@1 49.609 (47.379) Prec@5 75.781 (72.566)
Epoch: [69][440/5005] Time 0.210 (0.212) Data 0.046 (0.050) Loss 2.2986 (2.3096) Prec@1 52.344 (47.371) Prec@5 73.438 (72.582)
Epoch: [69][450/5005] Time 0.218 (0.212) Data 0.042 (0.049) Loss 2.0634 (2.3099) Prec@1 50.000 (47.343) Prec@5 75.391 (72.570)
Epoch: [69][460/5005] Time 0.219 (0.212) Data 0.044 (0.049) Loss 2.3362 (2.3102) Prec@1 44.922 (47.333) Prec@5 74.219 (72.582)
Epoch: [69][470/5005] Time 0.206 (0.212) Data 0.050 (0.049) Loss 2.1851 (2.3114) Prec@1 48.047 (47.301) Prec@5 73.438 (72.542)
Epoch: [69][480/5005] Time 0.219 (0.212) Data 0.062 (0.049) Loss 2.3873 (2.3116) Prec@1 47.656 (47.289) Prec@5 70.703 (72.534)
Epoch: [69][490/5005] Time 0.220 (0.212) Data 0.046 (0.049) Loss 2.1651 (2.3112) Prec@1 51.953 (47.288) Prec@5 73.047 (72.545)
Epoch: [69][500/5005] Time 0.223 (0.212) Data 0.043 (0.050) Loss 2.4340 (2.3127) Prec@1 51.953 (47.291) Prec@5 69.922 (72.509)
Epoch: [69][510/5005] Time 0.206 (0.212) Data 0.054 (0.050) Loss 2.5994 (2.3128) Prec@1 44.922 (47.296) Prec@5 66.797 (72.516)
Epoch: [69][520/5005] Time 0.206 (0.212) Data 0.057 (0.050) Loss 2.2600 (2.3125) Prec@1 46.094 (47.287) Prec@5 74.219 (72.521)
Epoch: [69][530/5005] Time 0.212 (0.212) Data 0.047 (0.050) Loss 2.2401 (2.3126) Prec@1 51.172 (47.288) Prec@5 72.656 (72.533)
Epoch: [69][540/5005] Time 0.219 (0.212) Data 0.046 (0.050) Loss 2.4443 (2.3131) Prec@1 44.531 (47.262) Prec@5 70.703 (72.518)
Epoch: [69][550/5005] Time 0.211 (0.212) Data 0.041 (0.050) Loss 2.3056 (2.3124) Prec@1 43.750 (47.272) Prec@5 73.438 (72.531)
Epoch: [69][560/5005] Time 0.219 (0.212) Data 0.045 (0.050) Loss 2.3484 (2.3116) Prec@1 47.656 (47.300) Prec@5 74.219 (72.546)
Epoch: [69][570/5005] Time 0.204 (0.212) Data 0.048 (0.050) Loss 2.4741 (2.3124) Prec@1 46.875 (47.270) Prec@5 67.578 (72.536)
Epoch: [69][580/5005] Time 0.201 (0.212) Data 0.052 (0.050) Loss 2.3956 (2.3115) Prec@1 44.141 (47.275) Prec@5 73.047 (72.539)
Epoch: [69][590/5005] Time 0.210 (0.212) Data 0.042 (0.050) Loss 2.5059 (2.3116) Prec@1 45.312 (47.253) Prec@5 66.797 (72.531)
Epoch: [69][600/5005] Time 0.208 (0.212) Data 0.042 (0.050) Loss 2.3406 (2.3128) Prec@1 48.438 (47.240) Prec@5 75.781 (72.531)
Epoch: [69][610/5005] Time 0.206 (0.212) Data 0.042 (0.049) Loss 2.2183 (2.3129) Prec@1 48.828 (47.222) Prec@5 77.344 (72.538)
Epoch: [69][620/5005] Time 0.204 (0.212) Data 0.045 (0.049) Loss 2.3504 (2.3123) Prec@1 47.656 (47.256) Prec@5 71.484 (72.546)
Epoch: [69][630/5005] Time 0.210 (0.212) Data 0.047 (0.049) Loss 2.5201 (2.3119) Prec@1 44.531 (47.278) Prec@5 69.922 (72.550)
Epoch: [69][640/5005] Time 0.210 (0.212) Data 0.044 (0.049) Loss 2.1581 (2.3119) Prec@1 47.656 (47.267) Prec@5 76.953 (72.564)
Epoch: [69][650/5005] Time 0.213 (0.212) Data 0.040 (0.049) Loss 2.3972 (2.3129) Prec@1 43.750 (47.240) Prec@5 69.922 (72.551)
Epoch: [69][660/5005] Time 0.212 (0.212) Data 0.047 (0.049) Loss 2.4205 (2.3119) Prec@1 45.312 (47.255) Prec@5 73.438 (72.578)
Epoch: [69][670/5005] Time 0.216 (0.212) Data 0.042 (0.049) Loss 2.5667 (2.3124) Prec@1 41.406 (47.242) Prec@5 69.141 (72.572)
Epoch: [69][680/5005] Time 0.210 (0.212) Data 0.041 (0.049) Loss 2.4061 (2.3128) Prec@1 47.656 (47.238) Prec@5 69.922 (72.572)
Epoch: [69][690/5005] Time 0.210 (0.212) Data 0.052 (0.049) Loss 2.2390 (2.3118) Prec@1 48.047 (47.254) Prec@5 75.000 (72.594)
Epoch: [69][700/5005] Time 0.214 (0.212) Data 0.046 (0.049) Loss 2.3513 (2.3115) Prec@1 44.531 (47.243) Prec@5 71.875 (72.600)
Epoch: [69][710/5005] Time 0.204 (0.212) Data 0.046 (0.049) Loss 2.1858 (2.3111) Prec@1 49.609 (47.258) Prec@5 75.000 (72.613)
Epoch: [69][720/5005] Time 0.211 (0.212) Data 0.055 (0.049) Loss 2.1974 (2.3104) Prec@1 48.828 (47.273) Prec@5 74.219 (72.617)
Epoch: [69][730/5005] Time 0.217 (0.212) Data 0.041 (0.049) Loss 2.4316 (2.3107) Prec@1 47.266 (47.290) Prec@5 71.094 (72.623)
Epoch: [69][740/5005] Time 0.208 (0.212) Data 0.043 (0.049) Loss 2.2997 (2.3103) Prec@1 48.438 (47.304) Prec@5 69.531 (72.607)
Epoch: [69][750/5005] Time 0.200 (0.212) Data 0.041 (0.049) Loss 2.1340 (2.3103) Prec@1 44.922 (47.280) Prec@5 76.172 (72.608)
Epoch: [69][760/5005] Time 0.207 (0.212) Data 0.045 (0.049) Loss 2.2025 (2.3102) Prec@1 46.875 (47.274) Prec@5 75.781 (72.604)
Epoch: [69][770/5005] Time 0.217 (0.212) Data 0.046 (0.049) Loss 2.2670 (2.3086) Prec@1 46.484 (47.307) Prec@5 72.266 (72.636)
Epoch: [69][780/5005] Time 0.212 (0.212) Data 0.048 (0.049) Loss 2.4483 (2.3086) Prec@1 45.312 (47.302) Prec@5 69.531 (72.633)
Epoch: [69][790/5005] Time 0.202 (0.212) Data 0.053 (0.049) Loss 2.4033 (2.3088) Prec@1 44.922 (47.298) Prec@5 71.094 (72.631)
Epoch: [69][800/5005] Time 0.211 (0.212) Data 0.052 (0.049) Loss 2.3456 (2.3085) Prec@1 44.141 (47.307) Prec@5 72.656 (72.637)
Epoch: [69][810/5005] Time 0.207 (0.212) Data 0.050 (0.049) Loss 2.3944 (2.3086) Prec@1 48.047 (47.312) Prec@5 69.922 (72.636)
Epoch: [69][820/5005] Time 0.212 (0.212) Data 0.041 (0.049) Loss 2.3911 (2.3089) Prec@1 46.094 (47.310) Prec@5 71.875 (72.645)
Epoch: [69][830/5005] Time 0.215 (0.212) Data 0.048 (0.049) Loss 2.1866 (2.3089) Prec@1 49.609 (47.314) Prec@5 76.172 (72.646)
Epoch: [69][840/5005] Time 0.213 (0.212) Data 0.042 (0.049) Loss 2.2083 (2.3085) Prec@1 51.953 (47.333) Prec@5 73.047 (72.650)
Epoch: [69][850/5005] Time 0.214 (0.212) Data 0.043 (0.049) Loss 2.5381 (2.3081) Prec@1 44.141 (47.329) Prec@5 69.141 (72.655)
Epoch: [69][860/5005] Time 0.211 (0.212) Data 0.048 (0.049) Loss 2.3282 (2.3087) Prec@1 47.266 (47.328) Prec@5 69.531 (72.644)
Epoch: [69][870/5005] Time 0.213 (0.212) Data 0.047 (0.049) Loss 2.2029 (2.3077) Prec@1 50.781 (47.354) Prec@5 73.047 (72.649)
Epoch: [69][880/5005] Time 0.211 (0.212) Data 0.045 (0.049) Loss 2.1954 (2.3082) Prec@1 47.656 (47.352) Prec@5 75.000 (72.650)
Epoch: [69][890/5005] Time 0.213 (0.212) Data 0.042 (0.049) Loss 2.4777 (2.3077) Prec@1 47.266 (47.359) Prec@5 67.578 (72.662)
Epoch: [69][900/5005] Time 0.218 (0.212) Data 0.042 (0.048) Loss 2.3011 (2.3078) Prec@1 44.141 (47.348) Prec@5 71.875 (72.664)
Epoch: [69][910/5005] Time 0.214 (0.212) Data 0.046 (0.048) Loss 2.2197 (2.3073) Prec@1 48.047 (47.361) Prec@5 71.875 (72.665)
Epoch: [69][920/5005] Time 0.215 (0.212) Data 0.044 (0.048) Loss 2.2337 (2.3065) Prec@1 48.828 (47.375) Prec@5 72.656 (72.682)
Epoch: [69][930/5005] Time 0.214 (0.212) Data 0.044 (0.048) Loss 2.2473 (2.3062) Prec@1 48.828 (47.388) Prec@5 72.266 (72.681)
Epoch: [69][940/5005] Time 0.203 (0.212) Data 0.045 (0.048) Loss 2.0986 (2.3059) Prec@1 51.562 (47.397) Prec@5 76.172 (72.690)
Epoch: [69][950/5005] Time 0.212 (0.212) Data 0.046 (0.048) Loss 2.4972 (2.3066) Prec@1 44.141 (47.385) Prec@5 69.141 (72.680)
Epoch: [69][960/5005] Time 0.213 (0.212) Data 0.043 (0.048) Loss 2.4834 (2.3067) Prec@1 47.266 (47.396) Prec@5 66.797 (72.671)
Epoch: [69][970/5005] Time 0.200 (0.212) Data 0.043 (0.048) Loss 2.1570 (2.3064) Prec@1 49.609 (47.402) Prec@5 75.781 (72.682)
Epoch: [69][980/5005] Time 0.204 (0.212) Data 0.046 (0.048) Loss 2.2238 (2.3053) Prec@1 47.266 (47.413) Prec@5 71.484 (72.694)
Epoch: [69][990/5005] Time 0.215 (0.212) Data 0.058 (0.048) Loss 2.4517 (2.3059) Prec@1 42.969 (47.395) Prec@5 69.531 (72.685)
Epoch: [69][1000/5005] Time 0.214 (0.212) Data 0.044 (0.048) Loss 2.3218 (2.3060) Prec@1 48.438 (47.389) Prec@5 76.172 (72.684)
Epoch: [69][1010/5005] Time 0.217 (0.212) Data 0.042 (0.048) Loss 2.3759 (2.3060) Prec@1 49.219 (47.385) Prec@5 72.266 (72.688)
Epoch: [69][1020/5005] Time 0.206 (0.212) Data 0.041 (0.048) Loss 2.0965 (2.3063) Prec@1 52.344 (47.382) Prec@5 75.391 (72.677)
Epoch: [69][1030/5005] Time 0.208 (0.212) Data 0.045 (0.048) Loss 2.2227 (2.3058) Prec@1 47.656 (47.386) Prec@5 73.047 (72.680)
Epoch: [69][1040/5005] Time 0.203 (0.213) Data 0.043 (0.048) Loss 2.3441 (2.3062) Prec@1 48.047 (47.379) Prec@5 72.266 (72.677)
Epoch: [69][1050/5005] Time 0.200 (0.213) Data 0.042 (0.048) Loss 2.5204 (2.3064) Prec@1 44.922 (47.370) Prec@5 68.750 (72.673)
Epoch: [69][1060/5005] Time 0.201 (0.213) Data 0.048 (0.048) Loss 2.3654 (2.3068) Prec@1 44.141 (47.364) Prec@5 71.484 (72.674)
Epoch: [69][1070/5005] Time 0.207 (0.213) Data 0.047 (0.048) Loss 2.2693 (2.3068) Prec@1 45.312 (47.367) Prec@5 74.609 (72.674)
Epoch: [69][1080/5005] Time 0.218 (0.213) Data 0.043 (0.048) Loss 2.3065 (2.3071) Prec@1 45.703 (47.351) Prec@5 71.875 (72.668)
Epoch: [69][1090/5005] Time 0.212 (0.213) Data 0.044 (0.048) Loss 2.2287 (2.3067) Prec@1 48.828 (47.352) Prec@5 71.094 (72.676)
Epoch: [69][1100/5005] Time 0.217 (0.213) Data 0.044 (0.048) Loss 2.1984 (2.3064) Prec@1 50.391 (47.362) Prec@5 74.219 (72.678)
Epoch: [69][1110/5005] Time 0.211 (0.213) Data 0.040 (0.048) Loss 2.3641 (2.3068) Prec@1 44.141 (47.360) Prec@5 73.047 (72.674)
Epoch: [69][1120/5005] Time 0.216 (0.213) Data 0.041 (0.048) Loss 2.1778 (2.3059) Prec@1 49.219 (47.370) Prec@5 74.609 (72.686)
Epoch: [69][1130/5005] Time 0.207 (0.213) Data 0.044 (0.048) Loss 2.4725 (2.3064) Prec@1 45.312 (47.362) Prec@5 68.750 (72.680)
Epoch: [69][1140/5005] Time 0.209 (0.213) Data 0.048 (0.048) Loss 2.4594 (2.3067) Prec@1 43.750 (47.352) Prec@5 69.531 (72.680)
Epoch: [69][1150/5005] Time 0.205 (0.213) Data 0.042 (0.048) Loss 2.2413 (2.3064) Prec@1 46.875 (47.362) Prec@5 73.047 (72.681)
Epoch: [69][1160/5005] Time 0.206 (0.212) Data 0.050 (0.048) Loss 2.2760 (2.3065) Prec@1 48.047 (47.362) Prec@5 73.828 (72.679)
Epoch: [69][1170/5005] Time 0.204 (0.212) Data 0.049 (0.048) Loss 2.2267 (2.3063) Prec@1 48.438 (47.363) Prec@5 75.000 (72.681)
Epoch: [69][1180/5005] Time 0.206 (0.212) Data 0.046 (0.048) Loss 2.3611 (2.3062) Prec@1 46.094 (47.361) Prec@5 69.141 (72.676)
Epoch: [69][1190/5005] Time 0.216 (0.212) Data 0.045 (0.048) Loss 2.2906 (2.3058) Prec@1 46.875 (47.363) Prec@5 73.438 (72.684)
Epoch: [69][1200/5005] Time 0.211 (0.212) Data 0.048 (0.048) Loss 2.5599 (2.3059) Prec@1 39.453 (47.354) Prec@5 70.312 (72.685)
Epoch: [69][1210/5005] Time 0.204 (0.212) Data 0.051 (0.048) Loss 2.2999 (2.3065) Prec@1 46.875 (47.348) Prec@5 72.266 (72.680)
Epoch: [69][1220/5005] Time 0.210 (0.212) Data 0.047 (0.048) Loss 2.1388 (2.3064) Prec@1 50.391 (47.349) Prec@5 76.562 (72.684)
Epoch: [69][1230/5005] Time 0.210 (0.212) Data 0.049 (0.048) Loss 2.3344 (2.3063) Prec@1 47.656 (47.343) Prec@5 73.438 (72.686)
Epoch: [69][1240/5005] Time 0.204 (0.212) Data 0.046 (0.048) Loss 2.3633 (2.3061) Prec@1 46.875 (47.348) Prec@5 68.359 (72.688)
Epoch: [69][1250/5005] Time 0.218 (0.212) Data 0.052 (0.048) Loss 2.4931 (2.3065) Prec@1 43.750 (47.342) Prec@5 71.875 (72.682)
Epoch: [69][1260/5005] Time 0.209 (0.212) Data 0.042 (0.048) Loss 2.0312 (2.3061) Prec@1 50.781 (47.348) Prec@5 77.344 (72.689)
Epoch: [69][1270/5005] Time 0.209 (0.212) Data 0.041 (0.048) Loss 2.2107 (2.3066) Prec@1 49.609 (47.338) Prec@5 71.875 (72.675)
Epoch: [69][1280/5005] Time 0.208 (0.212) Data 0.043 (0.048) Loss 2.3531 (2.3068) Prec@1 49.219 (47.343) Prec@5 70.703 (72.667)
Epoch: [69][1290/5005] Time 0.215 (0.212) Data 0.042 (0.048) Loss 2.0214 (2.3066) Prec@1 53.125 (47.341) Prec@5 76.172 (72.670)
Epoch: [69][1300/5005] Time 0.220 (0.212) Data 0.042 (0.048) Loss 2.2192 (2.3063) Prec@1 51.562 (47.346) Prec@5 74.609 (72.681)
Epoch: [69][1310/5005] Time 0.215 (0.212) Data 0.043 (0.048) Loss 2.4887 (2.3064) Prec@1 39.844 (47.342) Prec@5 70.703 (72.680)
Epoch: [69][1320/5005] Time 0.205 (0.212) Data 0.048 (0.048) Loss 2.3755 (2.3063) Prec@1 44.531 (47.346) Prec@5 71.094 (72.686)
Epoch: [69][1330/5005] Time 0.215 (0.212) Data 0.047 (0.048) Loss 2.4580 (2.3066) Prec@1 43.750 (47.340) Prec@5 70.703 (72.686)
Epoch: [69][1340/5005] Time 0.209 (0.212) Data 0.049 (0.048) Loss 2.2697 (2.3063) Prec@1 48.828 (47.342) Prec@5 76.172 (72.695)
Epoch: [69][1350/5005] Time 0.199 (0.212) Data 0.045 (0.048) Loss 2.6801 (2.3066) Prec@1 37.500 (47.329) Prec@5 68.750 (72.693)
Epoch: [69][1360/5005] Time 0.208 (0.212) Data 0.043 (0.048) Loss 2.1347 (2.3063) Prec@1 51.172 (47.331) Prec@5 74.609 (72.700)
Epoch: [69][1370/5005] Time 0.203 (0.212) Data 0.055 (0.048) Loss 2.2519 (2.3060) Prec@1 50.391 (47.330) Prec@5 73.828 (72.707)
Epoch: [69][1380/5005] Time 0.208 (0.212) Data 0.044 (0.048) Loss 2.2894 (2.3058) Prec@1 49.219 (47.341) Prec@5 75.391 (72.711)
Epoch: [69][1390/5005] Time 0.202 (0.212) Data 0.054 (0.048) Loss 2.2801 (2.3056) Prec@1 45.312 (47.344) Prec@5 74.219 (72.712)
Epoch: [69][1400/5005] Time 0.204 (0.212) Data 0.043 (0.048) Loss 2.2263 (2.3048) Prec@1 49.609 (47.355) Prec@5 72.656 (72.728)
Epoch: [69][1410/5005] Time 0.215 (0.212) Data 0.045 (0.048) Loss 2.2938 (2.3046) Prec@1 48.438 (47.352) Prec@5 73.047 (72.728)
Epoch: [69][1420/5005] Time 0.211 (0.212) Data 0.044 (0.048) Loss 2.4440 (2.3048) Prec@1 46.094 (47.354) Prec@5 71.094 (72.726)
Epoch: [69][1430/5005] Time 0.216 (0.212) Data 0.042 (0.048) Loss 2.0117 (2.3046) Prec@1 51.562 (47.360) Prec@5 77.734 (72.729)
Epoch: [69][1440/5005] Time 0.213 (0.212) Data 0.046 (0.048) Loss 2.0811 (2.3046) Prec@1 53.125 (47.366) Prec@5 74.219 (72.726)
Epoch: [69][1450/5005] Time 0.214 (0.212) Data 0.045 (0.048) Loss 2.1586 (2.3045) Prec@1 51.562 (47.364) Prec@5 75.781 (72.726)
Epoch: [69][1460/5005] Time 0.207 (0.212) Data 0.047 (0.048) Loss 2.2433 (2.3040) Prec@1 46.094 (47.373) Prec@5 74.219 (72.731)
Epoch: [69][1470/5005] Time 0.214 (0.212) Data 0.048 (0.048) Loss 2.4471 (2.3042) Prec@1 42.578 (47.365) Prec@5 70.703 (72.727)
Epoch: [69][1480/5005] Time 0.198 (0.212) Data 0.049 (0.048) Loss 2.1454 (2.3044) Prec@1 49.219 (47.365) Prec@5 75.781 (72.726)
Epoch: [69][1490/5005] Time 0.213 (0.212) Data 0.042 (0.048) Loss 2.4928 (2.3043) Prec@1 41.797 (47.361) Prec@5 69.141 (72.727)
Epoch: [69][1500/5005] Time 0.213 (0.212) Data 0.045 (0.048) Loss 2.3296 (2.3042) Prec@1 47.656 (47.360) Prec@5 70.312 (72.737)
Epoch: [69][1510/5005] Time 0.215 (0.212) Data 0.047 (0.048) Loss 2.1210 (2.3040) Prec@1 48.828 (47.359) Prec@5 76.562 (72.736)
Epoch: [69][1520/5005] Time 0.207 (0.212) Data 0.046 (0.048) Loss 2.2715 (2.3037) Prec@1 48.438 (47.361) Prec@5 75.000 (72.735)
Epoch: [69][1530/5005] Time 0.204 (0.212) Data 0.048 (0.048) Loss 2.4007 (2.3038) Prec@1 46.875 (47.358) Prec@5 71.875 (72.729)
Epoch: [69][1540/5005] Time 0.201 (0.212) Data 0.057 (0.048) Loss 2.3832 (2.3041) Prec@1 45.703 (47.352) Prec@5 71.484 (72.724)
Epoch: [69][1550/5005] Time 0.198 (0.212) Data 0.044 (0.048) Loss 2.2337 (2.3036) Prec@1 50.391 (47.361) Prec@5 75.000 (72.733)
Epoch: [69][1560/5005] Time 0.209 (0.212) Data 0.045 (0.048) Loss 2.1732 (2.3037) Prec@1 50.391 (47.360) Prec@5 75.000 (72.730)
Epoch: [69][1570/5005] Time 0.209 (0.212) Data 0.046 (0.048) Loss 2.1235 (2.3033) Prec@1 51.172 (47.375) Prec@5 78.516 (72.737)
Epoch: [69][1580/5005] Time 0.214 (0.212) Data 0.043 (0.048) Loss 2.0962 (2.3032) Prec@1 50.781 (47.374) Prec@5 76.172 (72.736)
Epoch: [69][1590/5005] Time 0.210 (0.212) Data 0.061 (0.048) Loss 2.3739 (2.3032) Prec@1 45.312 (47.374) Prec@5 72.656 (72.739)
Epoch: [69][1600/5005] Time 0.209 (0.212) Data 0.047 (0.048) Loss 2.3024 (2.3033) Prec@1 44.922 (47.369) Prec@5 73.828 (72.737)
Epoch: [69][1610/5005] Time 0.208 (0.212) Data 0.058 (0.048) Loss 2.4295 (2.3035) Prec@1 45.703 (47.371) Prec@5 71.094 (72.740)
Epoch: [69][1620/5005] Time 0.195 (0.212) Data 0.046 (0.048) Loss 2.3906 (2.3031) Prec@1 44.922 (47.375) Prec@5 72.656 (72.747)
Epoch: [69][1630/5005] Time 0.205 (0.212) Data 0.057 (0.048) Loss 2.2275 (2.3033) Prec@1 52.344 (47.371) Prec@5 74.609 (72.743)
Epoch: [69][1640/5005] Time 0.206 (0.212) Data 0.062 (0.048) Loss 2.4118 (2.3037) Prec@1 46.484 (47.375) Prec@5 73.047 (72.739)
Epoch: [69][1650/5005] Time 0.208 (0.212) Data 0.050 (0.048) Loss 2.3684 (2.3035) Prec@1 47.266 (47.382) Prec@5 69.141 (72.743)
Epoch: [69][1660/5005] Time 0.211 (0.212) Data 0.042 (0.048) Loss 2.2364 (2.3029) Prec@1 49.609 (47.396) Prec@5 73.438 (72.752)
Epoch: [69][1670/5005] Time 0.213 (0.212) Data 0.043 (0.048) Loss 2.1336 (2.3029) Prec@1 53.516 (47.404) Prec@5 75.781 (72.757)
Epoch: [69][1680/5005] Time 0.209 (0.212) Data 0.044 (0.048) Loss 2.3840 (2.3032) Prec@1 48.828 (47.400) Prec@5 70.312 (72.753)
Epoch: [69][1690/5005] Time 0.211 (0.212) Data 0.042 (0.048) Loss 2.1634 (2.3028) Prec@1 46.875 (47.405) Prec@5 74.609 (72.759)
Epoch: [69][1700/5005] Time 0.206 (0.212) Data 0.044 (0.048) Loss 2.2993 (2.3022) Prec@1 50.000 (47.420) Prec@5 72.266 (72.765)
Epoch: [69][1710/5005] Time 0.222 (0.212) Data 0.045 (0.048) Loss 2.1836 (2.3017) Prec@1 46.484 (47.426) Prec@5 75.781 (72.777)
Epoch: [69][1720/5005] Time 0.199 (0.212) Data 0.045 (0.048) Loss 2.3974 (2.3020) Prec@1 44.531 (47.412) Prec@5 69.531 (72.774)
Epoch: [69][1730/5005] Time 0.208 (0.211) Data 0.044 (0.048) Loss 2.3302 (2.3020) Prec@1 43.750 (47.411) Prec@5 71.484 (72.775)
Epoch: [69][1740/5005] Time 0.216 (0.211) Data 0.042 (0.048) Loss 2.4839 (2.3018) Prec@1 43.359 (47.418) Prec@5 69.531 (72.777)
Epoch: [69][1750/5005] Time 0.207 (0.211) Data 0.046 (0.048) Loss 2.2318 (2.3014) Prec@1 48.047 (47.424) Prec@5 71.875 (72.783)
Epoch: [69][1760/5005] Time 0.206 (0.211) Data 0.050 (0.048) Loss 2.0082 (2.3012) Prec@1 53.125 (47.430) Prec@5 78.516 (72.785)
Epoch: [69][1770/5005] Time 0.212 (0.211) Data 0.045 (0.048) Loss 2.3811 (2.3009) Prec@1 43.750 (47.435) Prec@5 73.828 (72.791)
Epoch: [69][1780/5005] Time 0.219 (0.211) Data 0.045 (0.048) Loss 2.1825 (2.3006) Prec@1 46.484 (47.436) Prec@5 73.828 (72.795)
Epoch: [69][1790/5005] Time 0.198 (0.211) Data 0.053 (0.048) Loss 2.1944 (2.3002) Prec@1 49.609 (47.445) Prec@5 73.438 (72.800)
Epoch: [69][1800/5005] Time 0.201 (0.211) Data 0.055 (0.048) Loss 2.2175 (2.3001) Prec@1 50.391 (47.448) Prec@5 74.609 (72.804)
Epoch: [69][1810/5005] Time 0.195 (0.211) Data 0.044 (0.048) Loss 2.2121 (2.3000) Prec@1 50.781 (47.449) Prec@5 76.562 (72.805)
Epoch: [69][1820/5005] Time 0.220 (0.211) Data 0.045 (0.048) Loss 2.2004 (2.2999) Prec@1 50.391 (47.451) Prec@5 74.609 (72.808)
Epoch: [69][1830/5005] Time 0.205 (0.211) Data 0.048 (0.048) Loss 2.0244 (2.2994) Prec@1 53.516 (47.456) Prec@5 77.344 (72.816)
Epoch: [69][1840/5005] Time 0.205 (0.211) Data 0.048 (0.048) Loss 2.3935 (2.2992) Prec@1 42.578 (47.461) Prec@5 69.922 (72.818)
Epoch: [69][1850/5005] Time 0.207 (0.211) Data 0.048 (0.048) Loss 2.2984 (2.2989) Prec@1 46.094 (47.469) Prec@5 70.703 (72.822)
Epoch: [69][1860/5005] Time 0.211 (0.211) Data 0.043 (0.048) Loss 2.3732 (2.2990) Prec@1 43.359 (47.466) Prec@5 72.266 (72.824)
Epoch: [69][1870/5005] Time 0.217 (0.211) Data 0.043 (0.048) Loss 2.5763 (2.2993) Prec@1 41.016 (47.461) Prec@5 69.141 (72.821)
Epoch: [69][1880/5005] Time 0.217 (0.211) Data 0.043 (0.048) Loss 2.3999 (2.2995) Prec@1 50.000 (47.459) Prec@5 69.922 (72.821)
Epoch: [69][1890/5005] Time 0.204 (0.211) Data 0.040 (0.048) Loss 2.3904 (2.2994) Prec@1 47.266 (47.459) Prec@5 70.312 (72.818)
Epoch: [69][1900/5005] Time 0.210 (0.211) Data 0.048 (0.048) Loss 2.3989 (2.2999) Prec@1 47.656 (47.457) Prec@5 73.047 (72.810)
Epoch: [69][1910/5005] Time 0.222 (0.211) Data 0.045 (0.048) Loss 2.2673 (2.3000) Prec@1 42.969 (47.451) Prec@5 75.000 (72.809)
Epoch: [69][1920/5005] Time 0.206 (0.211) Data 0.048 (0.048) Loss 2.1841 (2.2998) Prec@1 48.047 (47.448) Prec@5 76.172 (72.812)
Epoch: [69][1930/5005] Time 0.207 (0.211) Data 0.048 (0.048) Loss 2.1322 (2.2995) Prec@1 50.391 (47.456) Prec@5 74.609 (72.817)
Epoch: [69][1940/5005] Time 0.206 (0.211) Data 0.041 (0.048) Loss 2.1265 (2.2992) Prec@1 52.734 (47.457) Prec@5 73.438 (72.818)
Epoch: [69][1950/5005] Time 0.207 (0.211) Data 0.043 (0.048) Loss 2.4532 (2.2992) Prec@1 42.969 (47.457) Prec@5 69.141 (72.819)
Epoch: [69][1960/5005] Time 0.207 (0.211) Data 0.046 (0.048) Loss 2.1584 (2.2990) Prec@1 46.875 (47.457) Prec@5 73.828 (72.819)
Epoch: [69][1970/5005] Time 0.210 (0.211) Data 0.054 (0.048) Loss 2.2346 (2.2991) Prec@1 49.219 (47.455) Prec@5 72.656 (72.815)
Epoch: [69][1980/5005] Time 0.201 (0.211) Data 0.045 (0.048) Loss 2.1770 (2.2991) Prec@1 52.344 (47.459) Prec@5 73.438 (72.814)
Epoch: [69][1990/5005] Time 0.207 (0.211) Data 0.041 (0.048) Loss 2.0631 (2.2989) Prec@1 53.906 (47.466) Prec@5 75.000 (72.817)
Epoch: [69][2000/5005] Time 0.188 (0.212) Data 0.054 (0.048) Loss 2.1044 (2.2991) Prec@1 53.516 (47.465) Prec@5 75.781 (72.814)
Epoch: [69][2010/5005] Time 0.190 (0.212) Data 0.047 (0.048) Loss 2.3040 (2.2992) Prec@1 46.875 (47.463) Prec@5 69.531 (72.808)
Epoch: [69][2020/5005] Time 0.204 (0.212) Data 0.044 (0.048) Loss 2.2238 (2.2992) Prec@1 52.734 (47.467) Prec@5 74.609 (72.810)
Epoch: [69][2030/5005] Time 0.202 (0.211) Data 0.043 (0.048) Loss 2.2966 (2.2993) Prec@1 48.047 (47.469) Prec@5 73.828 (72.809)
Epoch: [69][2040/5005] Time 0.214 (0.211) Data 0.045 (0.048) Loss 2.2229 (2.2990) Prec@1 51.562 (47.475) Prec@5 75.391 (72.817)
Epoch: [69][2050/5005] Time 0.202 (0.211) Data 0.067 (0.048) Loss 2.3717 (2.2989) Prec@1 44.531 (47.480) Prec@5 71.484 (72.819)
Epoch: [69][2060/5005] Time 0.212 (0.211) Data 0.052 (0.048) Loss 2.1701 (2.2988) Prec@1 48.047 (47.479) Prec@5 74.219 (72.820)
Epoch: [69][2070/5005] Time 0.203 (0.211) Data 0.044 (0.048) Loss 2.4579 (2.2992) Prec@1 42.969 (47.474) Prec@5 73.438 (72.815)
Epoch: [69][2080/5005] Time 0.211 (0.211) Data 0.049 (0.048) Loss 2.3435 (2.2992) Prec@1 45.312 (47.476) Prec@5 75.000 (72.816)
Epoch: [69][2090/5005] Time 0.204 (0.211) Data 0.048 (0.048) Loss 2.1237 (2.2989) Prec@1 51.562 (47.480) Prec@5 76.953 (72.816)
Epoch: [69][2100/5005] Time 0.206 (0.211) Data 0.046 (0.048) Loss 2.4154 (2.2988) Prec@1 42.969 (47.480) Prec@5 71.094 (72.820)
Epoch: [69][2110/5005] Time 0.203 (0.211) Data 0.052 (0.048) Loss 2.2074 (2.2988) Prec@1 46.094 (47.481) Prec@5 77.344 (72.821)
Epoch: [69][2120/5005] Time 0.204 (0.211) Data 0.043 (0.048) Loss 2.3165 (2.2986) Prec@1 48.438 (47.486) Prec@5 70.312 (72.825)
Epoch: [69][2130/5005] Time 0.207 (0.211) Data 0.043 (0.048) Loss 2.3844 (2.2982) Prec@1 45.703 (47.496) Prec@5 72.266 (72.831)
Epoch: [69][2140/5005] Time 0.204 (0.211) Data 0.042 (0.048) Loss 2.1660 (2.2982) Prec@1 49.609 (47.497) Prec@5 73.438 (72.829)
Epoch: [69][2150/5005] Time 0.196 (0.211) Data 0.047 (0.048) Loss 2.1005 (2.2982) Prec@1 50.781 (47.497) Prec@5 77.344 (72.826)
Epoch: [69][2160/5005] Time 0.206 (0.211) Data 0.043 (0.048) Loss 2.1841 (2.2980) Prec@1 50.781 (47.501) Prec@5 73.438 (72.829)
Epoch: [69][2170/5005] Time 0.212 (0.211) Data 0.043 (0.048) Loss 2.2087 (2.2977) Prec@1 48.047 (47.505) Prec@5 72.656 (72.830)
Epoch: [69][2180/5005] Time 0.212 (0.211) Data 0.056 (0.048) Loss 2.3466 (2.2977) Prec@1 51.953 (47.502) Prec@5 70.703 (72.834)
Epoch: [69][2190/5005] Time 0.201 (0.211) Data 0.058 (0.048) Loss 2.5462 (2.2977) Prec@1 42.188 (47.503) Prec@5 68.359 (72.831)
Epoch: [69][2200/5005] Time 0.211 (0.211) Data 0.041 (0.048) Loss 2.3328 (2.2980) Prec@1 46.484 (47.500) Prec@5 71.875 (72.826)
Epoch: [69][2210/5005] Time 0.210 (0.211) Data 0.048 (0.048) Loss 2.3874 (2.2982) Prec@1 48.438 (47.495) Prec@5 70.703 (72.823)
Epoch: [69][2220/5005] Time 0.208 (0.211) Data 0.047 (0.048) Loss 2.3555 (2.2979) Prec@1 45.703 (47.500) Prec@5 72.656 (72.829)
Epoch: [69][2230/5005] Time 0.202 (0.211) Data 0.046 (0.048) Loss 2.3379 (2.2979) Prec@1 49.219 (47.497) Prec@5 76.172 (72.827)
Epoch: [69][2240/5005] Time 0.205 (0.211) Data 0.040 (0.048) Loss 2.2900 (2.2980) Prec@1 49.219 (47.498) Prec@5 76.953 (72.827)
Epoch: [69][2250/5005] Time 0.210 (0.211) Data 0.045 (0.048) Loss 2.1859 (2.2982) Prec@1 43.359 (47.490) Prec@5 74.609 (72.824)
Epoch: [69][2260/5005] Time 0.206 (0.211) Data 0.039 (0.048) Loss 2.2481 (2.2979) Prec@1 46.875 (47.496) Prec@5 70.703 (72.826)
Epoch: [69][2270/5005] Time 0.209 (0.211) Data 0.042 (0.048) Loss 2.3938 (2.2977) Prec@1 46.094 (47.500) Prec@5 71.094 (72.830)
Epoch: [69][2280/5005] Time 0.208 (0.211) Data 0.041 (0.048) Loss 2.3933 (2.2976) Prec@1 44.922 (47.501) Prec@5 68.750 (72.828)
Epoch: [69][2290/5005] Time 0.205 (0.211) Data 0.047 (0.048) Loss 2.2294 (2.2977) Prec@1 47.266 (47.500) Prec@5 75.000 (72.823)
Epoch: [69][2300/5005] Time 0.213 (0.211) Data 0.053 (0.048) Loss 2.3764 (2.2976) Prec@1 47.656 (47.505) Prec@5 68.750 (72.825)
Epoch: [69][2310/5005] Time 0.205 (0.211) Data 0.043 (0.048) Loss 2.1954 (2.2976) Prec@1 48.828 (47.506) Prec@5 74.219 (72.826)
Epoch: [69][2320/5005] Time 0.201 (0.211) Data 0.046 (0.048) Loss 2.5250 (2.2977) Prec@1 43.359 (47.507) Prec@5 68.750 (72.825)
Epoch: [69][2330/5005] Time 0.214 (0.211) Data 0.043 (0.048) Loss 2.1751 (2.2974) Prec@1 50.391 (47.516) Prec@5 72.266 (72.828)
Epoch: [69][2340/5005] Time 0.194 (0.211) Data 0.044 (0.048) Loss 2.2632 (2.2972) Prec@1 46.875 (47.518) Prec@5 70.312 (72.832)
Epoch: [69][2350/5005] Time 0.210 (0.211) Data 0.046 (0.048) Loss 2.1655 (2.2971) Prec@1 50.391 (47.517) Prec@5 73.047 (72.829)
Epoch: [69][2360/5005] Time 0.203 (0.211) Data 0.056 (0.048) Loss 2.2923 (2.2972) Prec@1 50.000 (47.519) Prec@5 69.141 (72.825)
Epoch: [69][2370/5005] Time 0.209 (0.211) Data 0.059 (0.048) Loss 2.2850 (2.2974) Prec@1 44.922 (47.509) Prec@5 71.484 (72.821)
Epoch: [69][2380/5005] Time 0.210 (0.211) Data 0.043 (0.048) Loss 2.3201 (2.2971) Prec@1 49.219 (47.513) Prec@5 71.094 (72.829)
Epoch: [69][2390/5005] Time 0.194 (0.211) Data 0.046 (0.048) Loss 2.1789 (2.2969) Prec@1 48.828 (47.520) Prec@5 75.000 (72.830)
Epoch: [69][2400/5005] Time 0.212 (0.211) Data 0.049 (0.048) Loss 2.2057 (2.2969) Prec@1 47.656 (47.514) Prec@5 75.000 (72.831)
Epoch: [69][2410/5005] Time 0.212 (0.211) Data 0.047 (0.048) Loss 2.5950 (2.2970) Prec@1 40.625 (47.511) Prec@5 69.531 (72.826)
Epoch: [69][2420/5005] Time 0.206 (0.211) Data 0.040 (0.048) Loss 2.2419 (2.2969) Prec@1 46.094 (47.516) Prec@5 73.438 (72.833)
Epoch: [69][2430/5005] Time 0.207 (0.211) Data 0.050 (0.048) Loss 2.2657 (2.2970) Prec@1 50.391 (47.518) Prec@5 73.047 (72.830)
Epoch: [69][2440/5005] Time 0.207 (0.211) Data 0.047 (0.048) Loss 2.1012 (2.2970) Prec@1 54.688 (47.521) Prec@5 75.000 (72.829)
Epoch: [69][2450/5005] Time 0.205 (0.211) Data 0.060 (0.048) Loss 2.1488 (2.2969) Prec@1 49.219 (47.517) Prec@5 75.000 (72.832)
Epoch: [69][2460/5005] Time 0.198 (0.211) Data 0.049 (0.048) Loss 2.3154 (2.2968) Prec@1 48.438 (47.520) Prec@5 73.828 (72.831)
Epoch: [69][2470/5005] Time 0.215 (0.211) Data 0.042 (0.048) Loss 2.1220 (2.2967) Prec@1 51.562 (47.522) Prec@5 76.172 (72.835)
Epoch: [69][2480/5005] Time 0.206 (0.211) Data 0.061 (0.048) Loss 2.4035 (2.2968) Prec@1 46.094 (47.520) Prec@5 72.266 (72.834)
Epoch: [69][2490/5005] Time 0.218 (0.211) Data 0.046 (0.048) Loss 2.0865 (2.2968) Prec@1 54.297 (47.525) Prec@5 75.391 (72.835)
Epoch: [69][2500/5005] Time 0.198 (0.211) Data 0.058 (0.048) Loss 2.3746 (2.2967) Prec@1 47.656 (47.526) Prec@5 69.141 (72.837)
Epoch: [69][2510/5005] Time 0.214 (0.211) Data 0.055 (0.048) Loss 2.3236 (2.2966) Prec@1 47.266 (47.525) Prec@5 72.656 (72.839)
Epoch: [69][2520/5005] Time 0.202 (0.211) Data 0.052 (0.048) Loss 2.1461 (2.2966) Prec@1 53.906 (47.526) Prec@5 75.391 (72.835)
Epoch: [69][2530/5005] Time 0.200 (0.211) Data 0.064 (0.048) Loss 2.4869 (2.2968) Prec@1 42.188 (47.519) Prec@5 69.141 (72.831)
Epoch: [69][2540/5005] Time 0.214 (0.211) Data 0.048 (0.048) Loss 2.1489 (2.2969) Prec@1 50.000 (47.521) Prec@5 75.000 (72.831)
Epoch: [69][2550/5005] Time 0.213 (0.211) Data 0.046 (0.048) Loss 2.2253 (2.2967) Prec@1 46.875 (47.524) Prec@5 74.609 (72.836)
Epoch: [69][2560/5005] Time 0.194 (0.211) Data 0.045 (0.048) Loss 2.5415 (2.2970) Prec@1 43.359 (47.523) Prec@5 68.750 (72.831)
Epoch: [69][2570/5005] Time 0.212 (0.211) Data 0.042 (0.048) Loss 2.3173 (2.2971) Prec@1 43.750 (47.524) Prec@5 73.438 (72.831)
Epoch: [69][2580/5005] Time 0.212 (0.211) Data 0.042 (0.048) Loss 2.3573 (2.2974) Prec@1 48.047 (47.515) Prec@5 70.703 (72.824)
Epoch: [69][2590/5005] Time 0.206 (0.211) Data 0.057 (0.048) Loss 2.4618 (2.2971) Prec@1 47.656 (47.520) Prec@5 71.484 (72.826)
Epoch: [69][2600/5005] Time 0.208 (0.210) Data 0.052 (0.048) Loss 2.3246 (2.2974) Prec@1 47.266 (47.519) Prec@5 73.047 (72.824)
Epoch: [69][2610/5005] Time 0.213 (0.210) Data 0.042 (0.048) Loss 2.4346 (2.2971) Prec@1 42.969 (47.524) Prec@5 68.750 (72.827)
Epoch: [69][2620/5005] Time 0.208 (0.210) Data 0.043 (0.048) Loss 2.1748 (2.2970) Prec@1 50.391 (47.529) Prec@5 74.609 (72.828)
Epoch: [69][2630/5005] Time 0.218 (0.210) Data 0.059 (0.048) Loss 2.4482 (2.2974) Prec@1 45.703 (47.527) Prec@5 72.656 (72.820)
Epoch: [69][2640/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.4048 (2.2974) Prec@1 45.703 (47.529) Prec@5 68.359 (72.817)
Epoch: [69][2650/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.4888 (2.2975) Prec@1 44.141 (47.528) Prec@5 69.141 (72.817)
Epoch: [69][2660/5005] Time 0.210 (0.210) Data 0.050 (0.048) Loss 2.2500 (2.2975) Prec@1 48.438 (47.530) Prec@5 74.609 (72.815)
Epoch: [69][2670/5005] Time 0.197 (0.210) Data 0.048 (0.048) Loss 2.0951 (2.2972) Prec@1 48.438 (47.536) Prec@5 76.562 (72.821)
Epoch: [69][2680/5005] Time 0.196 (0.210) Data 0.046 (0.048) Loss 2.1239 (2.2971) Prec@1 51.562 (47.537) Prec@5 77.344 (72.821)
Epoch: [69][2690/5005] Time 0.218 (0.210) Data 0.041 (0.048) Loss 2.1772 (2.2971) Prec@1 50.000 (47.534) Prec@5 73.047 (72.818)
Epoch: [69][2700/5005] Time 0.204 (0.210) Data 0.046 (0.048) Loss 2.2625 (2.2972) Prec@1 48.047 (47.533) Prec@5 71.484 (72.818)
Epoch: [69][2710/5005] Time 0.206 (0.210) Data 0.038 (0.048) Loss 2.1832 (2.2972) Prec@1 49.219 (47.530) Prec@5 71.875 (72.817)
Epoch: [69][2720/5005] Time 0.207 (0.210) Data 0.045 (0.048) Loss 2.1561 (2.2972) Prec@1 50.781 (47.530) Prec@5 76.953 (72.818)
Epoch: [69][2730/5005] Time 0.211 (0.210) Data 0.045 (0.048) Loss 2.2782 (2.2970) Prec@1 46.875 (47.536) Prec@5 72.266 (72.820)
Epoch: [69][2740/5005] Time 0.203 (0.210) Data 0.042 (0.048) Loss 2.2314 (2.2970) Prec@1 49.219 (47.539) Prec@5 74.219 (72.821)
Epoch: [69][2750/5005] Time 0.207 (0.210) Data 0.050 (0.048) Loss 2.1542 (2.2968) Prec@1 45.312 (47.542) Prec@5 74.219 (72.821)
Epoch: [69][2760/5005] Time 0.211 (0.210) Data 0.045 (0.048) Loss 2.3312 (2.2967) Prec@1 45.703 (47.541) Prec@5 71.875 (72.828)
Epoch: [69][2770/5005] Time 0.215 (0.210) Data 0.044 (0.048) Loss 2.2297 (2.2969) Prec@1 46.094 (47.536) Prec@5 73.047 (72.825)
Epoch: [69][2780/5005] Time 0.211 (0.210) Data 0.059 (0.048) Loss 2.3943 (2.2970) Prec@1 43.359 (47.535) Prec@5 69.922 (72.825)
Epoch: [69][2790/5005] Time 0.212 (0.210) Data 0.046 (0.048) Loss 2.5301 (2.2972) Prec@1 43.750 (47.540) Prec@5 71.094 (72.822)
Epoch: [69][2800/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.0019 (2.2971) Prec@1 54.297 (47.545) Prec@5 77.734 (72.824)
Epoch: [69][2810/5005] Time 0.204 (0.210) Data 0.046 (0.048) Loss 2.5330 (2.2972) Prec@1 43.750 (47.543) Prec@5 68.750 (72.822)
Epoch: [69][2820/5005] Time 0.208 (0.210) Data 0.043 (0.048) Loss 2.0881 (2.2970) Prec@1 51.172 (47.544) Prec@5 76.953 (72.827)
Epoch: [69][2830/5005] Time 0.214 (0.210) Data 0.044 (0.048) Loss 2.5701 (2.2971) Prec@1 44.141 (47.541) Prec@5 69.141 (72.827)
Epoch: [69][2840/5005] Time 0.212 (0.210) Data 0.042 (0.048) Loss 2.3473 (2.2971) Prec@1 44.141 (47.540) Prec@5 73.828 (72.829)
Epoch: [69][2850/5005] Time 0.212 (0.210) Data 0.045 (0.048) Loss 2.3230 (2.2970) Prec@1 48.438 (47.543) Prec@5 68.750 (72.827)
Epoch: [69][2860/5005] Time 0.207 (0.210) Data 0.050 (0.048) Loss 2.2944 (2.2970) Prec@1 49.219 (47.546) Prec@5 71.484 (72.828)
Epoch: [69][2870/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.1904 (2.2967) Prec@1 50.391 (47.553) Prec@5 72.266 (72.834)
Epoch: [69][2880/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.2513 (2.2966) Prec@1 46.094 (47.554) Prec@5 74.219 (72.834)
Epoch: [69][2890/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.3326 (2.2964) Prec@1 42.188 (47.558) Prec@5 71.875 (72.839)
Epoch: [69][2900/5005] Time 0.202 (0.210) Data 0.063 (0.048) Loss 2.0401 (2.2963) Prec@1 50.781 (47.561) Prec@5 74.609 (72.841)
Epoch: [69][2910/5005] Time 0.207 (0.210) Data 0.043 (0.048) Loss 2.3110 (2.2963) Prec@1 48.047 (47.561) Prec@5 74.609 (72.840)
Epoch: [69][2920/5005] Time 0.213 (0.210) Data 0.041 (0.048) Loss 2.4465 (2.2964) Prec@1 44.531 (47.562) Prec@5 71.484 (72.838)
Epoch: [69][2930/5005] Time 0.213 (0.210) Data 0.042 (0.048) Loss 2.4490 (2.2964) Prec@1 40.234 (47.561) Prec@5 68.750 (72.838)
Epoch: [69][2940/5005] Time 0.212 (0.210) Data 0.059 (0.048) Loss 2.4599 (2.2962) Prec@1 46.484 (47.564) Prec@5 71.875 (72.843)
Epoch: [69][2950/5005] Time 0.195 (0.210) Data 0.053 (0.048) Loss 2.3266 (2.2959) Prec@1 44.922 (47.568) Prec@5 75.781 (72.848)
Epoch: [69][2960/5005] Time 0.196 (0.210) Data 0.068 (0.048) Loss 2.2295 (2.2959) Prec@1 50.391 (47.574) Prec@5 74.609 (72.846)
Epoch: [69][2970/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.3127 (2.2957) Prec@1 46.484 (47.574) Prec@5 75.000 (72.851)
Epoch: [69][2980/5005] Time 0.204 (0.210) Data 0.044 (0.048) Loss 2.2932 (2.2958) Prec@1 47.266 (47.572) Prec@5 71.094 (72.851)
Epoch: [69][2990/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.1516 (2.2957) Prec@1 51.172 (47.573) Prec@5 75.781 (72.852)
Epoch: [69][3000/5005] Time 0.207 (0.210) Data 0.044 (0.048) Loss 2.1429 (2.2956) Prec@1 51.172 (47.576) Prec@5 74.219 (72.856)
Epoch: [69][3010/5005] Time 0.212 (0.210) Data 0.042 (0.048) Loss 2.3230 (2.2957) Prec@1 46.875 (47.573) Prec@5 71.484 (72.854)
Epoch: [69][3020/5005] Time 0.209 (0.210) Data 0.042 (0.048) Loss 2.2337 (2.2958) Prec@1 44.922 (47.573) Prec@5 73.438 (72.850)
Epoch: [69][3030/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.2752 (2.2960) Prec@1 50.781 (47.570) Prec@5 71.875 (72.851)
Epoch: [69][3040/5005] Time 0.212 (0.210) Data 0.046 (0.048) Loss 2.1563 (2.2958) Prec@1 48.047 (47.576) Prec@5 74.219 (72.851)
Epoch: [69][3050/5005] Time 0.211 (0.210) Data 0.045 (0.048) Loss 2.2383 (2.2959) Prec@1 49.219 (47.573) Prec@5 73.828 (72.851)
Epoch: [69][3060/5005] Time 0.207 (0.210) Data 0.047 (0.048) Loss 2.2471 (2.2958) Prec@1 50.000 (47.571) Prec@5 73.438 (72.857)
Epoch: [69][3070/5005] Time 0.196 (0.210) Data 0.058 (0.048) Loss 2.2310 (2.2959) Prec@1 49.219 (47.570) Prec@5 71.875 (72.856)
Epoch: [69][3080/5005] Time 0.213 (0.210) Data 0.041 (0.048) Loss 2.1872 (2.2958) Prec@1 46.875 (47.568) Prec@5 74.219 (72.855)
Epoch: [69][3090/5005] Time 0.204 (0.210) Data 0.043 (0.048) Loss 2.4667 (2.2958) Prec@1 44.922 (47.567) Prec@5 70.703 (72.857)
Epoch: [69][3100/5005] Time 0.205 (0.210) Data 0.042 (0.048) Loss 2.3809 (2.2958) Prec@1 47.656 (47.565) Prec@5 72.656 (72.856)
Epoch: [69][3110/5005] Time 0.210 (0.210) Data 0.045 (0.048) Loss 2.1350 (2.2955) Prec@1 48.438 (47.569) Prec@5 77.344 (72.860)
Epoch: [69][3120/5005] Time 0.215 (0.210) Data 0.044 (0.048) Loss 2.2851 (2.2953) Prec@1 46.875 (47.569) Prec@5 72.656 (72.864)
Epoch: [69][3130/5005] Time 0.218 (0.210) Data 0.046 (0.048) Loss 2.2120 (2.2951) Prec@1 47.656 (47.572) Prec@5 77.344 (72.871)
Epoch: [69][3140/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.1449 (2.2949) Prec@1 54.297 (47.579) Prec@5 71.484 (72.870)
Epoch: [69][3150/5005] Time 0.204 (0.210) Data 0.041 (0.048) Loss 2.2988 (2.2947) Prec@1 44.922 (47.582) Prec@5 71.484 (72.872)
Epoch: [69][3160/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.1587 (2.2947) Prec@1 49.219 (47.587) Prec@5 74.219 (72.873)
Epoch: [69][3170/5005] Time 0.214 (0.210) Data 0.043 (0.048) Loss 2.2875 (2.2947) Prec@1 45.703 (47.587) Prec@5 74.219 (72.872)
Epoch: [69][3180/5005] Time 0.216 (0.210) Data 0.044 (0.048) Loss 2.2598 (2.2948) Prec@1 50.000 (47.587) Prec@5 71.484 (72.871)
Epoch: [69][3190/5005] Time 0.203 (0.210) Data 0.043 (0.048) Loss 2.2488 (2.2947) Prec@1 48.047 (47.584) Prec@5 75.000 (72.872)
Epoch: [69][3200/5005] Time 0.204 (0.210) Data 0.044 (0.048) Loss 2.2061 (2.2946) Prec@1 46.875 (47.586) Prec@5 78.125 (72.877)
Epoch: [69][3210/5005] Time 0.209 (0.210) Data 0.042 (0.048) Loss 2.3288 (2.2946) Prec@1 48.438 (47.584) Prec@5 72.656 (72.877)
Epoch: [69][3220/5005] Time 0.209 (0.210) Data 0.044 (0.048) Loss 2.3447 (2.2946) Prec@1 48.828 (47.588) Prec@5 72.266 (72.879)
Epoch: [69][3230/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.2244 (2.2943) Prec@1 48.438 (47.592) Prec@5 73.438 (72.883)
Epoch: [69][3240/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.4958 (2.2947) Prec@1 41.797 (47.585) Prec@5 71.484 (72.877)
Epoch: [69][3250/5005] Time 0.208 (0.210) Data 0.043 (0.048) Loss 2.1870 (2.2947) Prec@1 50.781 (47.588) Prec@5 75.391 (72.873)
Epoch: [69][3260/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.2789 (2.2947) Prec@1 48.438 (47.587) Prec@5 72.656 (72.874)
Epoch: [69][3270/5005] Time 0.199 (0.210) Data 0.057 (0.048) Loss 2.4505 (2.2947) Prec@1 47.266 (47.590) Prec@5 68.359 (72.873)
Epoch: [69][3280/5005] Time 0.199 (0.210) Data 0.041 (0.048) Loss 2.0598 (2.2948) Prec@1 54.297 (47.588) Prec@5 76.953 (72.874)
Epoch: [69][3290/5005] Time 0.199 (0.210) Data 0.057 (0.048) Loss 2.1449 (2.2947) Prec@1 50.781 (47.588) Prec@5 74.219 (72.877)
Epoch: [69][3300/5005] Time 0.208 (0.210) Data 0.042 (0.048) Loss 2.2264 (2.2946) Prec@1 48.828 (47.588) Prec@5 74.609 (72.878)
Epoch: [69][3310/5005] Time 0.202 (0.210) Data 0.042 (0.048) Loss 2.1906 (2.2947) Prec@1 46.875 (47.584) Prec@5 74.219 (72.874)
Epoch: [69][3320/5005] Time 0.208 (0.210) Data 0.048 (0.048) Loss 2.2184 (2.2948) Prec@1 49.609 (47.583) Prec@5 75.391 (72.875)
Epoch: [69][3330/5005] Time 0.211 (0.210) Data 0.052 (0.048) Loss 2.3681 (2.2948) Prec@1 43.359 (47.584) Prec@5 70.312 (72.877)
Epoch: [69][3340/5005] Time 0.208 (0.210) Data 0.045 (0.048) Loss 2.3295 (2.2947) Prec@1 46.484 (47.587) Prec@5 73.828 (72.879)
Epoch: [69][3350/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.4560 (2.2946) Prec@1 45.312 (47.590) Prec@5 71.875 (72.881)
Epoch: [69][3360/5005] Time 0.212 (0.210) Data 0.041 (0.048) Loss 2.2530 (2.2946) Prec@1 51.562 (47.591) Prec@5 71.484 (72.881)
Epoch: [69][3370/5005] Time 0.206 (0.210) Data 0.050 (0.048) Loss 2.3591 (2.2947) Prec@1 43.750 (47.587) Prec@5 72.266 (72.878)
Epoch: [69][3380/5005] Time 0.220 (0.210) Data 0.048 (0.048) Loss 2.2809 (2.2947) Prec@1 50.391 (47.587) Prec@5 72.656 (72.877)
Epoch: [69][3390/5005] Time 0.216 (0.210) Data 0.045 (0.048) Loss 2.1768 (2.2948) Prec@1 48.047 (47.587) Prec@5 77.734 (72.876)
Epoch: [69][3400/5005] Time 0.205 (0.210) Data 0.050 (0.048) Loss 2.2366 (2.2948) Prec@1 46.094 (47.586) Prec@5 75.781 (72.876)
Epoch: [69][3410/5005] Time 0.198 (0.210) Data 0.054 (0.048) Loss 2.1794 (2.2948) Prec@1 50.781 (47.582) Prec@5 75.781 (72.881)
Epoch: [69][3420/5005] Time 0.200 (0.210) Data 0.045 (0.048) Loss 2.2112 (2.2948) Prec@1 48.828 (47.579) Prec@5 75.391 (72.883)
Epoch: [69][3430/5005] Time 0.215 (0.210) Data 0.043 (0.048) Loss 2.2267 (2.2948) Prec@1 47.656 (47.579) Prec@5 72.266 (72.884)
Epoch: [69][3440/5005] Time 0.214 (0.210) Data 0.046 (0.048) Loss 2.3249 (2.2946) Prec@1 45.703 (47.579) Prec@5 69.141 (72.889)
Epoch: [69][3450/5005] Time 0.211 (0.210) Data 0.042 (0.048) Loss 2.0027 (2.2944) Prec@1 54.297 (47.587) Prec@5 76.953 (72.892)
Epoch: [69][3460/5005] Time 0.213 (0.210) Data 0.041 (0.048) Loss 2.1249 (2.2943) Prec@1 49.219 (47.588) Prec@5 73.828 (72.891)
Epoch: [69][3470/5005] Time 0.196 (0.210) Data 0.043 (0.048) Loss 2.1440 (2.2941) Prec@1 48.438 (47.594) Prec@5 76.172 (72.895)
Epoch: [69][3480/5005] Time 0.213 (0.210) Data 0.042 (0.048) Loss 2.3209 (2.2940) Prec@1 44.922 (47.594) Prec@5 72.266 (72.898)
Epoch: [69][3490/5005] Time 0.213 (0.210) Data 0.047 (0.048) Loss 2.3721 (2.2941) Prec@1 43.359 (47.590) Prec@5 71.094 (72.897)
Epoch: [69][3500/5005] Time 0.204 (0.210) Data 0.051 (0.048) Loss 2.2026 (2.2941) Prec@1 50.781 (47.591) Prec@5 75.391 (72.897)
Epoch: [69][3510/5005] Time 0.208 (0.210) Data 0.046 (0.048) Loss 2.2270 (2.2939) Prec@1 46.875 (47.594) Prec@5 73.438 (72.900)
Epoch: [69][3520/5005] Time 0.207 (0.210) Data 0.048 (0.048) Loss 2.4814 (2.2939) Prec@1 44.922 (47.597) Prec@5 68.359 (72.899)
Epoch: [69][3530/5005] Time 0.206 (0.210) Data 0.041 (0.048) Loss 2.2287 (2.2937) Prec@1 48.828 (47.603) Prec@5 76.172 (72.902)
Epoch: [69][3540/5005] Time 0.213 (0.210) Data 0.046 (0.048) Loss 2.1602 (2.2935) Prec@1 50.781 (47.606) Prec@5 75.000 (72.904)
Epoch: [69][3550/5005] Time 0.200 (0.210) Data 0.051 (0.048) Loss 2.3583 (2.2935) Prec@1 46.094 (47.609) Prec@5 73.438 (72.905)
Epoch: [69][3560/5005] Time 0.215 (0.210) Data 0.048 (0.048) Loss 2.3660 (2.2935) Prec@1 46.875 (47.606) Prec@5 72.266 (72.904)
Epoch: [69][3570/5005] Time 0.209 (0.210) Data 0.046 (0.048) Loss 2.4205 (2.2935) Prec@1 45.703 (47.605) Prec@5 71.094 (72.905)
Epoch: [69][3580/5005] Time 0.197 (0.210) Data 0.060 (0.048) Loss 2.3615 (2.2935) Prec@1 50.781 (47.605) Prec@5 75.781 (72.907)
Epoch: [69][3590/5005] Time 0.197 (0.210) Data 0.042 (0.048) Loss 2.3733 (2.2933) Prec@1 44.531 (47.609) Prec@5 71.094 (72.912)
Epoch: [69][3600/5005] Time 0.208 (0.210) Data 0.044 (0.048) Loss 2.2396 (2.2931) Prec@1 50.391 (47.613) Prec@5 72.656 (72.915)
Epoch: [69][3610/5005] Time 0.204 (0.210) Data 0.042 (0.048) Loss 2.1849 (2.2932) Prec@1 46.484 (47.610) Prec@5 76.562 (72.914)
Epoch: [69][3620/5005] Time 0.194 (0.210) Data 0.051 (0.048) Loss 2.4039 (2.2930) Prec@1 42.969 (47.613) Prec@5 72.266 (72.917)
Epoch: [69][3630/5005] Time 0.201 (0.210) Data 0.045 (0.048) Loss 2.5277 (2.2929) Prec@1 44.531 (47.613) Prec@5 69.141 (72.915)
Epoch: [69][3640/5005] Time 0.206 (0.210) Data 0.042 (0.048) Loss 2.3498 (2.2929) Prec@1 42.188 (47.610) Prec@5 69.141 (72.913)
Epoch: [69][3650/5005] Time 0.203 (0.210) Data 0.050 (0.048) Loss 2.1050 (2.2928) Prec@1 50.781 (47.609) Prec@5 75.391 (72.916)
Epoch: [69][3660/5005] Time 0.216 (0.210) Data 0.042 (0.048) Loss 2.3947 (2.2928) Prec@1 42.578 (47.607) Prec@5 70.703 (72.915)
Epoch: [69][3670/5005] Time 0.207 (0.210) Data 0.053 (0.048) Loss 2.3497 (2.2928) Prec@1 45.312 (47.606) Prec@5 73.438 (72.915)
Epoch: [69][3680/5005] Time 0.202 (0.210) Data 0.046 (0.048) Loss 2.1288 (2.2929) Prec@1 49.219 (47.606) Prec@5 75.391 (72.912)
Epoch: [69][3690/5005] Time 0.215 (0.210) Data 0.059 (0.048) Loss 2.0541 (2.2930) Prec@1 50.391 (47.604) Prec@5 78.516 (72.913)
Epoch: [69][3700/5005] Time 0.207 (0.210) Data 0.054 (0.048) Loss 2.2874 (2.2930) Prec@1 49.219 (47.602) Prec@5 76.172 (72.913)
Epoch: [69][3710/5005] Time 0.210 (0.210) Data 0.042 (0.048) Loss 2.2501 (2.2931) Prec@1 50.391 (47.602) Prec@5 75.391 (72.915)
Epoch: [69][3720/5005] Time 0.207 (0.210) Data 0.043 (0.048) Loss 2.4171 (2.2931) Prec@1 48.828 (47.603) Prec@5 72.266 (72.917)
Epoch: [69][3730/5005] Time 0.210 (0.210) Data 0.049 (0.048) Loss 2.0762 (2.2928) Prec@1 53.906 (47.605) Prec@5 76.562 (72.919)
Epoch: [69][3740/5005] Time 0.217 (0.210) Data 0.043 (0.048) Loss 2.1391 (2.2925) Prec@1 50.781 (47.608) Prec@5 78.125 (72.924)
Epoch: [69][3750/5005] Time 0.209 (0.210) Data 0.044 (0.048) Loss 2.1169 (2.2925) Prec@1 54.688 (47.607) Prec@5 74.219 (72.923)
Epoch: [69][3760/5005] Time 0.207 (0.210) Data 0.046 (0.048) Loss 2.2454 (2.2925) Prec@1 49.219 (47.608) Prec@5 73.828 (72.923)
Epoch: [69][3770/5005] Time 0.193 (0.210) Data 0.050 (0.048) Loss 2.4247 (2.2925) Prec@1 44.141 (47.608) Prec@5 70.312 (72.925)
Epoch: [69][3780/5005] Time 0.208 (0.210) Data 0.046 (0.048) Loss 2.3319 (2.2924) Prec@1 45.703 (47.608) Prec@5 73.047 (72.925)
Epoch: [69][3790/5005] Time 0.216 (0.210) Data 0.056 (0.048) Loss 2.3392 (2.2924) Prec@1 47.266 (47.609) Prec@5 71.875 (72.926)
Epoch: [69][3800/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.2310 (2.2925) Prec@1 45.312 (47.604) Prec@5 76.172 (72.923)
Epoch: [69][3810/5005] Time 0.203 (0.210) Data 0.051 (0.048) Loss 2.2356 (2.2925) Prec@1 46.875 (47.603) Prec@5 72.656 (72.923)
Epoch: [69][3820/5005] Time 0.210 (0.210) Data 0.045 (0.048) Loss 2.2588 (2.2924) Prec@1 51.562 (47.606) Prec@5 74.609 (72.925)
Epoch: [69][3830/5005] Time 0.201 (0.210) Data 0.048 (0.048) Loss 2.3015 (2.2921) Prec@1 50.000 (47.611) Prec@5 73.828 (72.930)
Epoch: [69][3840/5005] Time 0.208 (0.210) Data 0.049 (0.048) Loss 2.5735 (2.2923) Prec@1 40.625 (47.608) Prec@5 67.969 (72.927)
Epoch: [69][3850/5005] Time 0.207 (0.210) Data 0.048 (0.048) Loss 2.3791 (2.2922) Prec@1 46.484 (47.607) Prec@5 72.266 (72.928)
Epoch: [69][3860/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.1998 (2.2923) Prec@1 53.125 (47.610) Prec@5 72.656 (72.925)
Epoch: [69][3870/5005] Time 0.212 (0.210) Data 0.046 (0.048) Loss 2.2789 (2.2923) Prec@1 47.266 (47.607) Prec@5 69.531 (72.923)
Epoch: [69][3880/5005] Time 0.211 (0.210) Data 0.056 (0.048) Loss 2.0351 (2.2922) Prec@1 53.516 (47.612) Prec@5 79.297 (72.925)
Epoch: [69][3890/5005] Time 0.217 (0.210) Data 0.044 (0.048) Loss 2.4656 (2.2922) Prec@1 48.047 (47.615) Prec@5 71.484 (72.923)
Epoch: [69][3900/5005] Time 0.212 (0.210) Data 0.045 (0.048) Loss 2.3705 (2.2924) Prec@1 46.484 (47.610) Prec@5 72.656 (72.922)
Epoch: [69][3910/5005] Time 0.200 (0.210) Data 0.042 (0.048) Loss 2.3475 (2.2923) Prec@1 43.359 (47.610) Prec@5 70.312 (72.923)
Epoch: [69][3920/5005] Time 0.209 (0.210) Data 0.047 (0.048) Loss 2.3013 (2.2923) Prec@1 49.219 (47.608) Prec@5 73.828 (72.921)
Epoch: [69][3930/5005] Time 0.204 (0.210) Data 0.048 (0.048) Loss 2.2523 (2.2923) Prec@1 50.391 (47.608) Prec@5 73.047 (72.922)
Epoch: [69][3940/5005] Time 0.206 (0.210) Data 0.045 (0.048) Loss 2.2204 (2.2922) Prec@1 50.781 (47.609) Prec@5 73.047 (72.921)
Epoch: [69][3950/5005] Time 0.208 (0.210) Data 0.039 (0.048) Loss 2.1270 (2.2920) Prec@1 51.953 (47.614) Prec@5 78.516 (72.925)
Epoch: [69][3960/5005] Time 0.204 (0.210) Data 0.043 (0.048) Loss 2.2346 (2.2921) Prec@1 49.609 (47.613) Prec@5 74.219 (72.923)
Epoch: [69][3970/5005] Time 0.210 (0.210) Data 0.041 (0.048) Loss 2.1834 (2.2921) Prec@1 48.047 (47.610) Prec@5 76.172 (72.924)
Epoch: [69][3980/5005] Time 0.212 (0.210) Data 0.058 (0.048) Loss 2.1681 (2.2920) Prec@1 48.828 (47.610) Prec@5 73.047 (72.924)
Epoch: [69][3990/5005] Time 0.208 (0.210) Data 0.042 (0.048) Loss 2.4880 (2.2922) Prec@1 41.016 (47.605) Prec@5 71.094 (72.922)
Epoch: [69][4000/5005] Time 0.200 (0.210) Data 0.056 (0.048) Loss 2.2646 (2.2923) Prec@1 45.703 (47.602) Prec@5 73.438 (72.922)
Epoch: [69][4010/5005] Time 0.202 (0.210) Data 0.043 (0.048) Loss 2.3437 (2.2921) Prec@1 44.531 (47.606) Prec@5 69.922 (72.924)
Epoch: [69][4020/5005] Time 0.216 (0.210) Data 0.045 (0.048) Loss 2.4606 (2.2921) Prec@1 46.094 (47.607) Prec@5 72.656 (72.925)
Epoch: [69][4030/5005] Time 0.202 (0.210) Data 0.046 (0.048) Loss 2.4381 (2.2923) Prec@1 46.875 (47.608) Prec@5 70.703 (72.920)
Epoch: [69][4040/5005] Time 0.206 (0.210) Data 0.042 (0.048) Loss 2.3710 (2.2925) Prec@1 46.484 (47.603) Prec@5 70.703 (72.920)
Epoch: [69][4050/5005] Time 0.220 (0.210) Data 0.044 (0.048) Loss 2.4609 (2.2924) Prec@1 44.922 (47.607) Prec@5 68.750 (72.921)
Epoch: [69][4060/5005] Time 0.219 (0.210) Data 0.043 (0.048) Loss 2.2914 (2.2924) Prec@1 44.922 (47.607) Prec@5 70.703 (72.922)
Epoch: [69][4070/5005] Time 0.219 (0.210) Data 0.046 (0.048) Loss 2.4290 (2.2923) Prec@1 47.656 (47.606) Prec@5 75.000 (72.923)
Epoch: [69][4080/5005] Time 0.215 (0.210) Data 0.048 (0.048) Loss 2.1427 (2.2922) Prec@1 53.125 (47.607) Prec@5 76.562 (72.923)
Epoch: [69][4090/5005] Time 0.210 (0.210) Data 0.062 (0.048) Loss 2.4641 (2.2922) Prec@1 45.312 (47.609) Prec@5 71.094 (72.922)
Epoch: [69][4100/5005] Time 0.205 (0.210) Data 0.042 (0.048) Loss 2.1801 (2.2922) Prec@1 50.000 (47.607) Prec@5 75.000 (72.923)
Epoch: [69][4110/5005] Time 0.205 (0.210) Data 0.042 (0.048) Loss 2.4370 (2.2922) Prec@1 43.359 (47.603) Prec@5 73.047 (72.923)
Epoch: [69][4120/5005] Time 0.209 (0.210) Data 0.049 (0.048) Loss 2.3562 (2.2921) Prec@1 44.531 (47.604) Prec@5 74.219 (72.925)
Epoch: [69][4130/5005] Time 0.200 (0.210) Data 0.041 (0.048) Loss 2.4789 (2.2921) Prec@1 44.531 (47.605) Prec@5 68.750 (72.925)
Epoch: [69][4140/5005] Time 0.209 (0.210) Data 0.056 (0.048) Loss 2.3882 (2.2921) Prec@1 43.359 (47.605) Prec@5 71.094 (72.924)
Epoch: [69][4150/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.4904 (2.2921) Prec@1 45.703 (47.605) Prec@5 72.266 (72.926)
Epoch: [69][4160/5005] Time 0.206 (0.210) Data 0.063 (0.048) Loss 2.2621 (2.2921) Prec@1 47.656 (47.606) Prec@5 75.000 (72.926)
Epoch: [69][4170/5005] Time 0.204 (0.210) Data 0.043 (0.048) Loss 2.1428 (2.2920) Prec@1 49.609 (47.610) Prec@5 73.438 (72.929)
Epoch: [69][4180/5005] Time 0.215 (0.210) Data 0.042 (0.048) Loss 2.2897 (2.2919) Prec@1 47.656 (47.612) Prec@5 72.266 (72.930)
Epoch: [69][4190/5005] Time 0.204 (0.210) Data 0.045 (0.048) Loss 2.2458 (2.2919) Prec@1 44.922 (47.611) Prec@5 75.000 (72.929)
Epoch: [69][4200/5005] Time 0.210 (0.210) Data 0.046 (0.048) Loss 2.2412 (2.2918) Prec@1 48.438 (47.612) Prec@5 72.656 (72.932)
Epoch: [69][4210/5005] Time 0.206 (0.210) Data 0.040 (0.048) Loss 2.1169 (2.2918) Prec@1 48.047 (47.611) Prec@5 76.172 (72.930)
Epoch: [69][4220/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.4008 (2.2920) Prec@1 44.531 (47.608) Prec@5 68.359 (72.927)
Epoch: [69][4230/5005] Time 0.213 (0.210) Data 0.044 (0.048) Loss 2.3078 (2.2920) Prec@1 46.484 (47.607) Prec@5 73.047 (72.929)
Epoch: [69][4240/5005] Time 0.209 (0.210) Data 0.045 (0.048) Loss 2.1291 (2.2920) Prec@1 48.438 (47.606) Prec@5 74.219 (72.927)
Epoch: [69][4250/5005] Time 0.207 (0.210) Data 0.045 (0.048) Loss 2.2262 (2.2920) Prec@1 46.094 (47.607) Prec@5 74.609 (72.928)
Epoch: [69][4260/5005] Time 0.213 (0.210) Data 0.044 (0.048) Loss 2.2777 (2.2920) Prec@1 46.875 (47.605) Prec@5 71.484 (72.928)
Epoch: [69][4270/5005] Time 0.204 (0.210) Data 0.067 (0.048) Loss 2.4798 (2.2921) Prec@1 45.312 (47.602) Prec@5 72.656 (72.927)
Epoch: [69][4280/5005] Time 0.207 (0.210) Data 0.046 (0.048) Loss 2.4014 (2.2921) Prec@1 46.875 (47.604) Prec@5 70.703 (72.926)
Epoch: [69][4290/5005] Time 0.193 (0.210) Data 0.047 (0.048) Loss 2.4916 (2.2922) Prec@1 44.922 (47.601) Prec@5 71.484 (72.926)
Epoch: [69][4300/5005] Time 0.203 (0.210) Data 0.061 (0.048) Loss 2.1874 (2.2920) Prec@1 49.609 (47.603) Prec@5 75.000 (72.928)
Epoch: [69][4310/5005] Time 0.213 (0.210) Data 0.063 (0.048) Loss 2.1256 (2.2920) Prec@1 52.734 (47.604) Prec@5 74.609 (72.926)
Epoch: [69][4320/5005] Time 0.214 (0.210) Data 0.046 (0.048) Loss 2.2163 (2.2920) Prec@1 52.734 (47.602) Prec@5 73.438 (72.926)
Epoch: [69][4330/5005] Time 0.208 (0.210) Data 0.046 (0.048) Loss 2.1530 (2.2919) Prec@1 47.266 (47.603) Prec@5 75.391 (72.925)
Epoch: [69][4340/5005] Time 0.200 (0.209) Data 0.044 (0.048) Loss 2.4965 (2.2921) Prec@1 40.234 (47.598) Prec@5 69.141 (72.924)
Epoch: [69][4350/5005] Time 0.204 (0.209) Data 0.043 (0.048) Loss 2.3984 (2.2920) Prec@1 44.922 (47.598) Prec@5 69.141 (72.925)
Epoch: [69][4360/5005] Time 0.205 (0.209) Data 0.043 (0.048) Loss 2.1230 (2.2918) Prec@1 48.828 (47.599) Prec@5 74.609 (72.928)
Epoch: [69][4370/5005] Time 0.212 (0.209) Data 0.051 (0.048) Loss 2.2758 (2.2919) Prec@1 42.578 (47.599) Prec@5 73.438 (72.927)
Epoch: [69][4380/5005] Time 0.208 (0.209) Data 0.041 (0.048) Loss 2.2305 (2.2918) Prec@1 45.703 (47.601) Prec@5 74.219 (72.929)
Epoch: [69][4390/5005] Time 0.206 (0.209) Data 0.053 (0.048) Loss 2.3897 (2.2917) Prec@1 44.531 (47.604) Prec@5 70.703 (72.929)
Epoch: [69][4400/5005] Time 0.208 (0.209) Data 0.046 (0.048) Loss 2.1526 (2.2916) Prec@1 50.391 (47.605) Prec@5 73.828 (72.929)
Epoch: [69][4410/5005] Time 0.192 (0.209) Data 0.060 (0.048) Loss 2.2454 (2.2916) Prec@1 46.094 (47.605) Prec@5 72.266 (72.928)
Epoch: [69][4420/5005] Time 0.196 (0.209) Data 0.063 (0.048) Loss 1.9388 (2.2915) Prec@1 55.859 (47.605) Prec@5 77.344 (72.930)
Epoch: [69][4430/5005] Time 0.195 (0.209) Data 0.050 (0.048) Loss 2.2892 (2.2912) Prec@1 46.094 (47.611) Prec@5 69.922 (72.932)
Epoch: [69][4440/5005] Time 0.196 (0.209) Data 0.062 (0.048) Loss 2.3697 (2.2913) Prec@1 46.094 (47.610) Prec@5 71.875 (72.933)
Epoch: [69][4450/5005] Time 0.203 (0.209) Data 0.051 (0.048) Loss 2.1656 (2.2912) Prec@1 49.219 (47.611) Prec@5 72.656 (72.932)
Epoch: [69][4460/5005] Time 0.217 (0.209) Data 0.044 (0.048) Loss 2.4483 (2.2911) Prec@1 44.922 (47.612) Prec@5 67.188 (72.932)
Epoch: [69][4470/5005] Time 0.209 (0.209) Data 0.043 (0.048) Loss 2.1018 (2.2913) Prec@1 50.000 (47.608) Prec@5 77.344 (72.931)
Epoch: [69][4480/5005] Time 0.213 (0.209) Data 0.043 (0.048) Loss 2.1865 (2.2914) Prec@1 45.312 (47.604) Prec@5 73.438 (72.927)
Epoch: [69][4490/5005] Time 0.209 (0.209) Data 0.043 (0.048) Loss 2.3211 (2.2915) Prec@1 45.703 (47.600) Prec@5 73.047 (72.927)
Epoch: [69][4500/5005] Time 0.212 (0.209) Data 0.061 (0.048) Loss 2.2089 (2.2915) Prec@1 48.828 (47.600) Prec@5 74.609 (72.927)
Epoch: [69][4510/5005] Time 0.216 (0.209) Data 0.042 (0.048) Loss 2.0744 (2.2914) Prec@1 53.906 (47.600) Prec@5 76.562 (72.926)
Epoch: [69][4520/5005] Time 0.210 (0.209) Data 0.047 (0.048) Loss 2.2769 (2.2913) Prec@1 46.094 (47.603) Prec@5 75.000 (72.931)
Epoch: [69][4530/5005] Time 0.209 (0.209) Data 0.043 (0.048) Loss 2.2001 (2.2912) Prec@1 46.875 (47.601) Prec@5 75.781 (72.932)
Epoch: [69][4540/5005] Time 0.203 (0.209) Data 0.041 (0.048) Loss 2.3784 (2.2914) Prec@1 46.875 (47.597) Prec@5 72.266 (72.929)
Epoch: [69][4550/5005] Time 0.204 (0.209) Data 0.045 (0.048) Loss 2.2217 (2.2913) Prec@1 49.219 (47.600) Prec@5 70.703 (72.928)
Epoch: [69][4560/5005] Time 0.205 (0.209) Data 0.064 (0.048) Loss 2.2595 (2.2913) Prec@1 51.562 (47.600) Prec@5 72.266 (72.927)
Epoch: [69][4570/5005] Time 0.204 (0.209) Data 0.043 (0.048) Loss 2.3182 (2.2913) Prec@1 50.391 (47.600) Prec@5 72.266 (72.928)
Epoch: [69][4580/5005] Time 0.213 (0.209) Data 0.043 (0.048) Loss 2.3612 (2.2912) Prec@1 42.969 (47.601) Prec@5 73.828 (72.930)
Epoch: [69][4590/5005] Time 0.208 (0.209) Data 0.041 (0.048) Loss 2.0124 (2.2912) Prec@1 54.297 (47.603) Prec@5 77.344 (72.930)
Epoch: [69][4600/5005] Time 0.202 (0.209) Data 0.050 (0.048) Loss 2.0828 (2.2911) Prec@1 52.344 (47.604) Prec@5 76.953 (72.930)
Epoch: [69][4610/5005] Time 0.210 (0.209) Data 0.048 (0.048) Loss 2.0581 (2.2911) Prec@1 51.562 (47.605) Prec@5 76.172 (72.933)
Epoch: [69][4620/5005] Time 0.212 (0.209) Data 0.044 (0.048) Loss 2.2917 (2.2911) Prec@1 45.703 (47.605) Prec@5 71.875 (72.933)
Epoch: [69][4630/5005] Time 0.210 (0.209) Data 0.045 (0.048) Loss 1.9781 (2.2909) Prec@1 53.125 (47.607) Prec@5 78.906 (72.937)
Epoch: [69][4640/5005] Time 0.211 (0.209) Data 0.046 (0.048) Loss 2.4138 (2.2909) Prec@1 46.094 (47.605) Prec@5 69.141 (72.938)
Epoch: [69][4650/5005] Time 0.207 (0.209) Data 0.050 (0.048) Loss 2.4079 (2.2908) Prec@1 44.531 (47.607) Prec@5 71.094 (72.939)
Epoch: [69][4660/5005] Time 0.200 (0.209) Data 0.061 (0.048) Loss 2.4687 (2.2908) Prec@1 44.922 (47.608) Prec@5 65.234 (72.936)
Epoch: [69][4670/5005] Time 0.211 (0.209) Data 0.044 (0.048) Loss 2.2097 (2.2907) Prec@1 46.484 (47.609) Prec@5 73.047 (72.937)
Epoch: [69][4680/5005] Time 0.207 (0.209) Data 0.044 (0.048) Loss 2.1997 (2.2906) Prec@1 45.703 (47.609) Prec@5 73.828 (72.935)
Epoch: [69][4690/5005] Time 0.206 (0.209) Data 0.040 (0.048) Loss 2.3089 (2.2906) Prec@1 43.750 (47.606) Prec@5 75.781 (72.937)
Epoch: [69][4700/5005] Time 0.203 (0.209) Data 0.043 (0.048) Loss 2.1548 (2.2906) Prec@1 50.391 (47.608) Prec@5 75.781 (72.936)
Epoch: [69][4710/5005] Time 0.197 (0.209) Data 0.044 (0.048) Loss 2.1930 (2.2904) Prec@1 48.828 (47.612) Prec@5 74.609 (72.940)
Epoch: [69][4720/5005] Time 0.210 (0.209) Data 0.042 (0.048) Loss 2.0972 (2.2903) Prec@1 51.953 (47.613) Prec@5 76.562 (72.941)
Epoch: [69][4730/5005] Time 0.209 (0.209) Data 0.046 (0.048) Loss 2.2103 (2.2903) Prec@1 50.000 (47.613) Prec@5 73.047 (72.939)
Epoch: [69][4740/5005] Time 0.196 (0.209) Data 0.062 (0.048) Loss 2.3244 (2.2903) Prec@1 47.266 (47.613) Prec@5 71.875 (72.940)
Epoch: [69][4750/5005] Time 0.205 (0.209) Data 0.044 (0.048) Loss 2.1550 (2.2902) Prec@1 49.219 (47.614) Prec@5 73.047 (72.942)
Epoch: [69][4760/5005] Time 0.199 (0.209) Data 0.043 (0.048) Loss 2.4720 (2.2901) Prec@1 41.406 (47.616) Prec@5 70.703 (72.944)
Epoch: [69][4770/5005] Time 0.201 (0.209) Data 0.045 (0.048) Loss 2.1300 (2.2901) Prec@1 50.781 (47.617) Prec@5 75.000 (72.945)
Epoch: [69][4780/5005] Time 0.207 (0.209) Data 0.048 (0.048) Loss 2.2952 (2.2900) Prec@1 45.703 (47.619) Prec@5 73.438 (72.945)
Epoch: [69][4790/5005] Time 0.206 (0.209) Data 0.049 (0.048) Loss 2.5913 (2.2901) Prec@1 43.359 (47.620) Prec@5 67.969 (72.946)
Epoch: [69][4800/5005] Time 0.200 (0.209) Data 0.048 (0.048) Loss 2.4636 (2.2901) Prec@1 44.922 (47.618) Prec@5 69.922 (72.946)
Epoch: [69][4810/5005] Time 0.204 (0.209) Data 0.051 (0.048) Loss 2.3146 (2.2900) Prec@1 48.438 (47.619) Prec@5 74.219 (72.948)
Epoch: [69][4820/5005] Time 0.191 (0.209) Data 0.045 (0.048) Loss 2.5326 (2.2899) Prec@1 41.797 (47.623) Prec@5 66.016 (72.948)
Epoch: [69][4830/5005] Time 0.197 (0.209) Data 0.048 (0.048) Loss 2.2751 (2.2897) Prec@1 46.484 (47.627) Prec@5 71.094 (72.950)
Epoch: [69][4840/5005] Time 0.216 (0.209) Data 0.044 (0.048) Loss 2.0233 (2.2897) Prec@1 53.516 (47.627) Prec@5 76.172 (72.951)
Epoch: [69][4850/5005] Time 0.211 (0.209) Data 0.047 (0.048) Loss 2.3746 (2.2898) Prec@1 43.359 (47.626) Prec@5 72.656 (72.949)
Epoch: [69][4860/5005] Time 0.203 (0.209) Data 0.043 (0.048) Loss 2.2306 (2.2897) Prec@1 46.484 (47.628) Prec@5 72.656 (72.951)
Epoch: [69][4870/5005] Time 0.209 (0.209) Data 0.047 (0.048) Loss 2.1576 (2.2897) Prec@1 51.953 (47.630) Prec@5 74.609 (72.951)
Epoch: [69][4880/5005] Time 0.204 (0.209) Data 0.044 (0.048) Loss 2.2489 (2.2896) Prec@1 46.875 (47.632) Prec@5 72.656 (72.953)
Epoch: [69][4890/5005] Time 0.207 (0.209) Data 0.041 (0.048) Loss 2.3735 (2.2895) Prec@1 49.219 (47.632) Prec@5 71.094 (72.956)
Epoch: [69][4900/5005] Time 0.216 (0.209) Data 0.052 (0.048) Loss 2.1742 (2.2895) Prec@1 49.609 (47.633) Prec@5 72.266 (72.957)
Epoch: [69][4910/5005] Time 0.216 (0.209) Data 0.043 (0.048) Loss 2.2245 (2.2893) Prec@1 47.656 (47.636) Prec@5 72.656 (72.959)
Epoch: [69][4920/5005] Time 0.209 (0.209) Data 0.042 (0.048) Loss 2.1120 (2.2892) Prec@1 48.828 (47.637) Prec@5 75.000 (72.961)
Epoch: [69][4930/5005] Time 0.190 (0.209) Data 0.051 (0.048) Loss 2.3481 (2.2891) Prec@1 47.656 (47.639) Prec@5 71.484 (72.962)
Epoch: [69][4940/5005] Time 0.206 (0.209) Data 0.043 (0.048) Loss 2.3026 (2.2892) Prec@1 49.219 (47.638) Prec@5 72.266 (72.961)
Epoch: [69][4950/5005] Time 0.210 (0.209) Data 0.055 (0.048) Loss 1.9688 (2.2892) Prec@1 52.734 (47.637) Prec@5 80.078 (72.962)
Epoch: [69][4960/5005] Time 0.205 (0.209) Data 0.054 (0.048) Loss 2.3190 (2.2891) Prec@1 47.266 (47.638) Prec@5 75.391 (72.964)
Epoch: [69][4970/5005] Time 0.214 (0.209) Data 0.045 (0.048) Loss 2.3459 (2.2891) Prec@1 43.359 (47.638) Prec@5 74.219 (72.965)
Epoch: [69][4980/5005] Time 0.216 (0.209) Data 0.044 (0.048) Loss 2.1320 (2.2890) Prec@1 53.906 (47.640) Prec@5 75.000 (72.967)
Epoch: [69][4990/5005] Time 0.212 (0.209) Data 0.022 (0.048) Loss 2.4158 (2.2889) Prec@1 44.141 (47.640) Prec@5 69.141 (72.968)
Epoch: [69][5000/5005] Time 0.207 (0.209) Data 0.021 (0.048) Loss 2.3362 (2.2889) Prec@1 45.703 (47.642) Prec@5 73.047 (72.969)
Test: [0/196] Time 1.499 (1.499) Loss 2.3694 (2.3694) Prec@1 49.609 (49.609) Prec@5 73.438 (73.438)
Test: [10/196] Time 0.047 (0.301) Loss 2.4879 (2.5618) Prec@1 47.266 (43.892) Prec@5 69.141 (68.821)
Test: [20/196] Time 0.043 (0.240) Loss 2.4687 (2.5682) Prec@1 47.266 (43.229) Prec@5 72.266 (68.824)
Test: [30/196] Time 0.042 (0.211) Loss 2.4630 (2.5763) Prec@1 42.578 (42.981) Prec@5 67.969 (68.548)
Test: [40/196] Time 0.187 (0.198) Loss 2.3073 (2.5692) Prec@1 53.125 (43.455) Prec@5 74.609 (68.731)
Test: [50/196] Time 0.044 (0.199) Loss 2.6375 (2.5677) Prec@1 41.797 (43.589) Prec@5 69.141 (68.827)
Test: [60/196] Time 0.047 (0.190) Loss 2.5129 (2.5540) Prec@1 45.703 (43.884) Prec@5 68.750 (69.134)
Test: [70/196] Time 0.043 (0.193) Loss 2.5163 (2.5471) Prec@1 44.531 (44.047) Prec@5 69.141 (69.157)
Test: [80/196] Time 0.042 (0.186) Loss 2.3866 (2.5487) Prec@1 51.953 (44.131) Prec@5 76.953 (69.218)
Test: [90/196] Time 0.840 (0.192) Loss 2.6457 (2.5510) Prec@1 45.703 (44.093) Prec@5 67.578 (69.192)
Test: [100/196] Time 0.044 (0.186) Loss 2.5800 (2.5459) Prec@1 46.484 (44.346) Prec@5 70.312 (69.295)
Test: [110/196] Time 0.042 (0.186) Loss 2.7569 (2.5482) Prec@1 41.406 (44.380) Prec@5 63.672 (69.246)
Test: [120/196] Time 0.042 (0.182) Loss 2.4115 (2.5449) Prec@1 44.531 (44.425) Prec@5 73.047 (69.296)
Test: [130/196] Time 0.103 (0.183) Loss 2.2456 (2.5423) Prec@1 48.047 (44.484) Prec@5 75.391 (69.340)
Test: [140/196] Time 0.204 (0.183) Loss 2.3642 (2.5446) Prec@1 50.781 (44.390) Prec@5 68.359 (69.221)
Test: [150/196] Time 0.247 (0.182) Loss 2.1705 (2.5428) Prec@1 50.391 (44.397) Prec@5 77.344 (69.309)
Test: [160/196] Time 0.044 (0.181) Loss 2.4794 (2.5416) Prec@1 48.828 (44.398) Prec@5 72.266 (69.327)
Test: [170/196] Time 0.044 (0.181) Loss 2.4284 (2.5429) Prec@1 45.703 (44.399) Prec@5 73.438 (69.291)
Test: [180/196] Time 0.230 (0.180) Loss 2.6978 (2.5465) Prec@1 41.406 (44.300) Prec@5 70.703 (69.257)
Test: [190/196] Time 0.041 (0.179) Loss 2.7611 (2.5497) Prec@1 40.625 (44.257) Prec@5 66.406 (69.116)
* Prec@1 44.250 Prec@5 69.146
Learning rate: 1e-05
Epoch: [70][0/5005] Time 1.018 (1.018) Data 0.906 (0.906) Loss 2.2681 (2.2681) Prec@1 50.000 (50.000) Prec@5 71.484 (71.484)
Epoch: [70][10/5005] Time 0.204 (0.281) Data 0.048 (0.127) Loss 2.2640 (2.3127) Prec@1 53.516 (47.088) Prec@5 73.828 (72.514)
Epoch: [70][20/5005] Time 0.207 (0.244) Data 0.053 (0.089) Loss 2.3217 (2.2902) Prec@1 48.828 (47.693) Prec@5 75.391 (72.656)
Epoch: [70][30/5005] Time 0.205 (0.230) Data 0.052 (0.077) Loss 2.2949 (2.2616) Prec@1 48.047 (48.122) Prec@5 70.312 (72.971)
Epoch: [70][40/5005] Time 0.202 (0.224) Data 0.069 (0.070) Loss 2.3109 (2.2746) Prec@1 48.828 (48.047) Prec@5 71.094 (72.685)
Epoch: [70][50/5005] Time 0.202 (0.220) Data 0.055 (0.067) Loss 2.1342 (2.2751) Prec@1 46.875 (47.947) Prec@5 77.734 (72.878)
Epoch: [70][60/5005] Time 0.202 (0.217) Data 0.064 (0.064) Loss 2.1652 (2.2785) Prec@1 50.000 (47.842) Prec@5 78.125 (72.836)
Epoch: [70][70/5005] Time 0.194 (0.215) Data 0.061 (0.062) Loss 2.1968 (2.2909) Prec@1 48.828 (47.706) Prec@5 73.047 (72.640)
Epoch: [70][80/5005] Time 0.198 (0.213) Data 0.054 (0.061) Loss 2.1353 (2.2870) Prec@1 49.219 (47.796) Prec@5 73.828 (72.704)
Epoch: [70][90/5005] Time 0.209 (0.212) Data 0.047 (0.059) Loss 2.3414 (2.2872) Prec@1 46.875 (47.811) Prec@5 72.656 (72.712)
Epoch: [70][100/5005] Time 0.197 (0.211) Data 0.046 (0.058) Loss 2.1652 (2.2923) Prec@1 48.047 (47.761) Prec@5 75.781 (72.621)
Epoch: [70][110/5005] Time 0.207 (0.210) Data 0.043 (0.057) Loss 2.3633 (2.2934) Prec@1 46.094 (47.846) Prec@5 71.875 (72.614)
Epoch: [70][120/5005] Time 0.212 (0.209) Data 0.043 (0.056) Loss 2.2916 (2.2962) Prec@1 42.578 (47.856) Prec@5 73.438 (72.546)
Epoch: [70][130/5005] Time 0.213 (0.209) Data 0.043 (0.055) Loss 2.4432 (2.2949) Prec@1 47.266 (47.841) Prec@5 71.094 (72.585)
Epoch: [70][140/5005] Time 0.199 (0.208) Data 0.057 (0.055) Loss 2.3209 (2.2954) Prec@1 44.531 (47.687) Prec@5 71.875 (72.581)
Epoch: [70][150/5005] Time 0.197 (0.208) Data 0.042 (0.054) Loss 2.3956 (2.2955) Prec@1 48.047 (47.711) Prec@5 73.828 (72.667)
Epoch: [70][160/5005] Time 0.200 (0.208) Data 0.047 (0.054) Loss 2.2300 (2.2960) Prec@1 48.438 (47.676) Prec@5 68.750 (72.688)
Epoch: [70][170/5005] Time 0.221 (0.208) Data 0.048 (0.054) Loss 2.3773 (2.2966) Prec@1 50.000 (47.736) Prec@5 73.047 (72.716)
Epoch: [70][180/5005] Time 0.214 (0.209) Data 0.044 (0.053) Loss 2.5309 (2.2975) Prec@1 47.266 (47.727) Prec@5 69.531 (72.689)
Epoch: [70][190/5005] Time 0.222 (0.209) Data 0.042 (0.053) Loss 2.3688 (2.3008) Prec@1 45.703 (47.644) Prec@5 73.438 (72.642)
Epoch: [70][200/5005] Time 0.221 (0.210) Data 0.044 (0.052) Loss 2.6001 (2.3040) Prec@1 38.281 (47.563) Prec@5 66.406 (72.596)
Epoch: [70][210/5005] Time 0.218 (0.210) Data 0.043 (0.052) Loss 2.1705 (2.3041) Prec@1 52.344 (47.553) Prec@5 74.219 (72.610)
Epoch: [70][220/5005] Time 0.220 (0.210) Data 0.043 (0.052) Loss 2.4340 (2.3035) Prec@1 49.609 (47.607) Prec@5 73.438 (72.609)
Epoch: [70][230/5005] Time 0.220 (0.211) Data 0.044 (0.051) Loss 2.2489 (2.3040) Prec@1 48.828 (47.624) Prec@5 73.828 (72.631)
Epoch: [70][240/5005] Time 0.220 (0.211) Data 0.045 (0.051) Loss 2.2776 (2.3036) Prec@1 48.828 (47.621) Prec@5 71.875 (72.645)
Epoch: [70][250/5005] Time 0.222 (0.212) Data 0.044 (0.051) Loss 2.3831 (2.3018) Prec@1 47.266 (47.636) Prec@5 72.266 (72.676)
Epoch: [70][260/5005] Time 0.223 (0.212) Data 0.041 (0.050) Loss 2.1584 (2.3023) Prec@1 48.438 (47.631) Prec@5 76.562 (72.695)
Epoch: [70][270/5005] Time 0.213 (0.212) Data 0.057 (0.050) Loss 2.4045 (2.3026) Prec@1 43.750 (47.623) Prec@5 72.656 (72.721)
Epoch: [70][280/5005] Time 0.220 (0.212) Data 0.045 (0.050) Loss 2.5390 (2.3050) Prec@1 45.703 (47.595) Prec@5 67.188 (72.666)
Epoch: [70][290/5005] Time 0.221 (0.212) Data 0.043 (0.050) Loss 2.2286 (2.3070) Prec@1 50.391 (47.545) Prec@5 72.656 (72.628)
Epoch: [70][300/5005] Time 0.216 (0.213) Data 0.044 (0.050) Loss 2.1792 (2.3070) Prec@1 50.781 (47.562) Prec@5 76.172 (72.647)
Epoch: [70][310/5005] Time 0.215 (0.213) Data 0.044 (0.049) Loss 2.2355 (2.3054) Prec@1 47.656 (47.587) Prec@5 74.609 (72.681)
Epoch: [70][320/5005] Time 0.218 (0.213) Data 0.045 (0.049) Loss 2.5362 (2.3062) Prec@1 41.406 (47.589) Prec@5 70.703 (72.712)
Epoch: [70][330/5005] Time 0.214 (0.213) Data 0.039 (0.049) Loss 2.0489 (2.3040) Prec@1 51.172 (47.602) Prec@5 77.734 (72.766)
Epoch: [70][340/5005] Time 0.216 (0.213) Data 0.044 (0.049) Loss 2.5220 (2.3081) Prec@1 48.047 (47.562) Prec@5 67.969 (72.692)
Epoch: [70][350/5005] Time 0.218 (0.213) Data 0.044 (0.049) Loss 2.4007 (2.3078) Prec@1 46.875 (47.563) Prec@5 71.094 (72.699)
Epoch: [70][360/5005] Time 0.221 (0.213) Data 0.044 (0.049) Loss 2.4031 (2.3081) Prec@1 45.312 (47.530) Prec@5 72.266 (72.682)
Epoch: [70][370/5005] Time 0.217 (0.214) Data 0.044 (0.049) Loss 2.3660 (2.3070) Prec@1 44.531 (47.535) Prec@5 69.922 (72.703)
Epoch: [70][380/5005] Time 0.216 (0.214) Data 0.044 (0.048) Loss 2.5464 (2.3080) Prec@1 42.969 (47.515) Prec@5 66.797 (72.689)
Epoch: [70][390/5005] Time 0.218 (0.214) Data 0.043 (0.048) Loss 2.3148 (2.3095) Prec@1 48.047 (47.480) Prec@5 73.828 (72.657)
Epoch: [70][400/5005] Time 0.214 (0.214) Data 0.043 (0.048) Loss 2.1904 (2.3083) Prec@1 46.875 (47.466) Prec@5 76.562 (72.680)
Epoch: [70][410/5005] Time 0.210 (0.214) Data 0.043 (0.048) Loss 1.9998 (2.3075) Prec@1 50.391 (47.455) Prec@5 80.469 (72.710)
Epoch: [70][420/5005] Time 0.217 (0.214) Data 0.043 (0.048) Loss 2.1711 (2.3070) Prec@1 50.000 (47.473) Prec@5 76.172 (72.732)
Epoch: [70][430/5005] Time 0.214 (0.214) Data 0.044 (0.048) Loss 2.1105 (2.3069) Prec@1 50.781 (47.478) Prec@5 74.609 (72.728)
Epoch: [70][440/5005] Time 0.218 (0.214) Data 0.042 (0.048) Loss 2.1699 (2.3063) Prec@1 49.609 (47.469) Prec@5 74.219 (72.737)
Epoch: [70][450/5005] Time 0.215 (0.214) Data 0.044 (0.048) Loss 2.1618 (2.3070) Prec@1 44.531 (47.439) Prec@5 76.172 (72.743)
Epoch: [70][460/5005] Time 0.220 (0.214) Data 0.044 (0.048) Loss 2.2841 (2.3074) Prec@1 45.703 (47.424) Prec@5 71.094 (72.740)
Epoch: [70][470/5005] Time 0.209 (0.214) Data 0.044 (0.048) Loss 2.2912 (2.3087) Prec@1 46.484 (47.403) Prec@5 73.047 (72.706)
Epoch: [70][480/5005] Time 0.216 (0.214) Data 0.044 (0.047) Loss 2.4023 (2.3100) Prec@1 44.531 (47.384) Prec@5 71.875 (72.691)
Epoch: [70][490/5005] Time 0.217 (0.214) Data 0.043 (0.047) Loss 2.4175 (2.3111) Prec@1 45.703 (47.360) Prec@5 70.703 (72.670)
Epoch: [70][500/5005] Time 0.214 (0.214) Data 0.045 (0.047) Loss 2.4544 (2.3126) Prec@1 48.828 (47.340) Prec@5 73.047 (72.649)
Epoch: [70][510/5005] Time 0.215 (0.214) Data 0.044 (0.047) Loss 2.6219 (2.3126) Prec@1 41.406 (47.337) Prec@5 67.188 (72.631)
Epoch: [70][520/5005] Time 0.216 (0.214) Data 0.040 (0.047) Loss 2.1809 (2.3119) Prec@1 47.266 (47.335) Prec@5 73.828 (72.654)
Epoch: [70][530/5005] Time 0.221 (0.214) Data 0.041 (0.047) Loss 2.2123 (2.3117) Prec@1 51.172 (47.319) Prec@5 71.875 (72.656)
Epoch: [70][540/5005] Time 0.216 (0.214) Data 0.041 (0.047) Loss 2.5006 (2.3120) Prec@1 42.188 (47.313) Prec@5 67.578 (72.650)
Epoch: [70][550/5005] Time 0.208 (0.214) Data 0.042 (0.047) Loss 2.2647 (2.3109) Prec@1 44.531 (47.332) Prec@5 75.391 (72.648)
Epoch: [70][560/5005] Time 0.213 (0.214) Data 0.043 (0.047) Loss 2.4332 (2.3110) Prec@1 42.188 (47.335) Prec@5 70.312 (72.669)
Epoch: [70][570/5005] Time 0.218 (0.214) Data 0.043 (0.047) Loss 2.4755 (2.3119) Prec@1 49.219 (47.329) Prec@5 70.312 (72.634)
Epoch: [70][580/5005] Time 0.214 (0.214) Data 0.048 (0.047) Loss 2.3891 (2.3111) Prec@1 45.312 (47.336) Prec@5 71.094 (72.647)
Epoch: [70][590/5005] Time 0.217 (0.214) Data 0.053 (0.047) Loss 2.4399 (2.3111) Prec@1 45.312 (47.325) Prec@5 67.969 (72.635)
Epoch: [70][600/5005] Time 0.215 (0.214) Data 0.046 (0.047) Loss 2.2610 (2.3122) Prec@1 49.609 (47.303) Prec@5 75.000 (72.622)
Epoch: [70][610/5005] Time 0.212 (0.214) Data 0.043 (0.047) Loss 2.3077 (2.3126) Prec@1 45.703 (47.305) Prec@5 73.047 (72.620)
Epoch: [70][620/5005] Time 0.214 (0.214) Data 0.042 (0.047) Loss 2.2697 (2.3126) Prec@1 50.000 (47.315) Prec@5 73.828 (72.610)
Epoch: [70][630/5005] Time 0.219 (0.214) Data 0.045 (0.047) Loss 2.6083 (2.3132) Prec@1 41.016 (47.306) Prec@5 71.875 (72.612)
Epoch: [70][640/5005] Time 0.211 (0.214) Data 0.046 (0.047) Loss 2.2323 (2.3129) Prec@1 49.219 (47.319) Prec@5 72.656 (72.601)
Epoch: [70][650/5005] Time 0.214 (0.214) Data 0.050 (0.047) Loss 2.3731 (2.3131) Prec@1 44.531 (47.302) Prec@5 70.312 (72.594)
Epoch: [70][660/5005] Time 0.214 (0.214) Data 0.045 (0.047) Loss 2.5132 (2.3124) Prec@1 43.359 (47.315) Prec@5 71.484 (72.609)
Epoch: [70][670/5005] Time 0.212 (0.214) Data 0.068 (0.048) Loss 2.6262 (2.3134) Prec@1 45.312 (47.298) Prec@5 67.578 (72.582)
Epoch: [70][680/5005] Time 0.222 (0.214) Data 0.048 (0.048) Loss 2.2172 (2.3134) Prec@1 48.828 (47.303) Prec@5 74.609 (72.592)
Epoch: [70][690/5005] Time 0.213 (0.214) Data 0.048 (0.047) Loss 2.0783 (2.3124) Prec@1 53.516 (47.319) Prec@5 78.125 (72.613)
Epoch: [70][700/5005] Time 0.212 (0.214) Data 0.046 (0.047) Loss 2.3863 (2.3120) Prec@1 42.188 (47.317) Prec@5 71.484 (72.614)
Epoch: [70][710/5005] Time 0.208 (0.214) Data 0.051 (0.047) Loss 2.1016 (2.3115) Prec@1 50.000 (47.329) Prec@5 74.609 (72.619)
Epoch: [70][720/5005] Time 0.214 (0.214) Data 0.050 (0.048) Loss 2.2121 (2.3108) Prec@1 46.875 (47.338) Prec@5 75.000 (72.624)
Epoch: [70][730/5005] Time 0.213 (0.214) Data 0.043 (0.048) Loss 2.4420 (2.3114) Prec@1 45.703 (47.322) Prec@5 72.266 (72.623)
Epoch: [70][740/5005] Time 0.213 (0.214) Data 0.049 (0.048) Loss 2.3474 (2.3115) Prec@1 48.438 (47.319) Prec@5 70.312 (72.614)
Epoch: [70][750/5005] Time 0.219 (0.214) Data 0.047 (0.048) Loss 2.1103 (2.3108) Prec@1 49.219 (47.321) Prec@5 75.391 (72.620)
Epoch: [70][760/5005] Time 0.218 (0.214) Data 0.043 (0.048) Loss 2.2579 (2.3104) Prec@1 48.047 (47.323) Prec@5 77.734 (72.635)
Epoch: [70][770/5005] Time 0.217 (0.214) Data 0.044 (0.047) Loss 2.3667 (2.3099) Prec@1 48.047 (47.335) Prec@5 72.656 (72.659)
Epoch: [70][780/5005] Time 0.218 (0.214) Data 0.044 (0.047) Loss 2.4005 (2.3095) Prec@1 44.531 (47.336) Prec@5 69.141 (72.652)
Epoch: [70][790/5005] Time 0.220 (0.214) Data 0.045 (0.047) Loss 2.2143 (2.3090) Prec@1 47.266 (47.342) Prec@5 73.047 (72.645)
Epoch: [70][800/5005] Time 0.218 (0.214) Data 0.045 (0.047) Loss 2.1563 (2.3084) Prec@1 50.391 (47.363) Prec@5 76.562 (72.648)
Epoch: [70][810/5005] Time 0.210 (0.214) Data 0.046 (0.047) Loss 2.5168 (2.3086) Prec@1 40.234 (47.357) Prec@5 69.531 (72.633)
Epoch: [70][820/5005] Time 0.206 (0.214) Data 0.044 (0.047) Loss 2.3835 (2.3087) Prec@1 45.703 (47.353) Prec@5 71.875 (72.634)
Epoch: [70][830/5005] Time 0.212 (0.214) Data 0.048 (0.047) Loss 2.2439 (2.3088) Prec@1 49.219 (47.357) Prec@5 72.656 (72.630)
Epoch: [70][840/5005] Time 0.214 (0.214) Data 0.051 (0.047) Loss 2.2707 (2.3091) Prec@1 49.609 (47.355) Prec@5 71.094 (72.631)
Epoch: [70][850/5005] Time 0.198 (0.214) Data 0.059 (0.047) Loss 2.5125 (2.3084) Prec@1 44.922 (47.360) Prec@5 68.750 (72.637)
Epoch: [70][860/5005] Time 0.210 (0.214) Data 0.049 (0.047) Loss 2.3927 (2.3086) Prec@1 43.359 (47.368) Prec@5 69.141 (72.635)
Epoch: [70][870/5005] Time 0.215 (0.214) Data 0.042 (0.047) Loss 2.3464 (2.3076) Prec@1 44.922 (47.390) Prec@5 71.875 (72.657)
Epoch: [70][880/5005] Time 0.214 (0.214) Data 0.045 (0.047) Loss 2.1513 (2.3077) Prec@1 50.781 (47.396) Prec@5 73.828 (72.658)
Epoch: [70][890/5005] Time 0.214 (0.214) Data 0.046 (0.047) Loss 2.5416 (2.3072) Prec@1 43.750 (47.398) Prec@5 67.578 (72.664)
Epoch: [70][900/5005] Time 0.195 (0.214) Data 0.045 (0.047) Loss 2.1845 (2.3064) Prec@1 48.047 (47.406) Prec@5 76.172 (72.677)
Epoch: [70][910/5005] Time 0.207 (0.214) Data 0.048 (0.047) Loss 2.3474 (2.3065) Prec@1 44.922 (47.396) Prec@5 73.047 (72.674)
Epoch: [70][920/5005] Time 0.215 (0.214) Data 0.057 (0.047) Loss 2.4290 (2.3060) Prec@1 44.922 (47.415) Prec@5 71.484 (72.688)
Epoch: [70][930/5005] Time 0.216 (0.214) Data 0.048 (0.048) Loss 2.3212 (2.3055) Prec@1 46.875 (47.424) Prec@5 69.922 (72.682)
Epoch: [70][940/5005] Time 0.213 (0.214) Data 0.043 (0.047) Loss 2.1443 (2.3057) Prec@1 51.172 (47.418) Prec@5 76.562 (72.693)
Epoch: [70][950/5005] Time 0.214 (0.214) Data 0.043 (0.047) Loss 2.4247 (2.3065) Prec@1 50.000 (47.414) Prec@5 72.656 (72.683)
Epoch: [70][960/5005] Time 0.209 (0.214) Data 0.048 (0.047) Loss 2.5485 (2.3067) Prec@1 43.750 (47.402) Prec@5 67.578 (72.677)
Epoch: [70][970/5005] Time 0.213 (0.214) Data 0.044 (0.047) Loss 2.1674 (2.3067) Prec@1 49.219 (47.394) Prec@5 75.000 (72.670)
Epoch: [70][980/5005] Time 0.213 (0.214) Data 0.045 (0.047) Loss 2.2567 (2.3064) Prec@1 48.438 (47.396) Prec@5 75.000 (72.681)
Epoch: [70][990/5005] Time 0.214 (0.214) Data 0.049 (0.047) Loss 2.4791 (2.3069) Prec@1 46.484 (47.387) Prec@5 67.969 (72.665)
Epoch: [70][1000/5005] Time 0.216 (0.214) Data 0.043 (0.047) Loss 2.2486 (2.3070) Prec@1 46.484 (47.379) Prec@5 75.000 (72.661)
Epoch: [70][1010/5005] Time 0.214 (0.214) Data 0.043 (0.047) Loss 2.2536 (2.3064) Prec@1 44.531 (47.384) Prec@5 74.219 (72.669)
Epoch: [70][1020/5005] Time 0.212 (0.214) Data 0.041 (0.047) Loss 2.0845 (2.3070) Prec@1 51.172 (47.378) Prec@5 76.953 (72.655)
Epoch: [70][1030/5005] Time 0.216 (0.214) Data 0.045 (0.047) Loss 2.1991 (2.3065) Prec@1 45.703 (47.378) Prec@5 74.609 (72.669)
Epoch: [70][1040/5005] Time 0.213 (0.215) Data 0.042 (0.047) Loss 2.3750 (2.3066) Prec@1 43.359 (47.366) Prec@5 72.266 (72.671)
Epoch: [70][1050/5005] Time 0.212 (0.215) Data 0.040 (0.047) Loss 2.5593 (2.3066) Prec@1 44.141 (47.360) Prec@5 67.188 (72.668)
Epoch: [70][1060/5005] Time 0.199 (0.215) Data 0.045 (0.047) Loss 2.4351 (2.3066) Prec@1 45.312 (47.354) Prec@5 69.922 (72.663)
Epoch: [70][1070/5005] Time 0.214 (0.215) Data 0.044 (0.047) Loss 2.2751 (2.3066) Prec@1 45.703 (47.355) Prec@5 71.484 (72.662)
Epoch: [70][1080/5005] Time 0.220 (0.215) Data 0.044 (0.047) Loss 2.2732 (2.3066) Prec@1 46.094 (47.351) Prec@5 72.656 (72.662)
Epoch: [70][1090/5005] Time 0.218 (0.215) Data 0.049 (0.047) Loss 2.1564 (2.3063) Prec@1 52.734 (47.357) Prec@5 73.828 (72.674)
Epoch: [70][1100/5005] Time 0.210 (0.215) Data 0.042 (0.047) Loss 2.2044 (2.3061) Prec@1 50.391 (47.352) Prec@5 74.219 (72.676)
Epoch: [70][1110/5005] Time 0.210 (0.215) Data 0.049 (0.047) Loss 2.2399 (2.3060) Prec@1 45.312 (47.341) Prec@5 74.609 (72.682)
Epoch: [70][1120/5005] Time 0.222 (0.215) Data 0.045 (0.047) Loss 2.1975 (2.3052) Prec@1 47.266 (47.352) Prec@5 75.391 (72.697)
Epoch: [70][1130/5005] Time 0.214 (0.214) Data 0.045 (0.047) Loss 2.4370 (2.3055) Prec@1 42.188 (47.338) Prec@5 69.922 (72.701)
Epoch: [70][1140/5005] Time 0.215 (0.214) Data 0.044 (0.047) Loss 2.4157 (2.3053) Prec@1 46.875 (47.341) Prec@5 69.922 (72.705)
Epoch: [70][1150/5005] Time 0.213 (0.214) Data 0.047 (0.047) Loss 2.2776 (2.3048) Prec@1 46.875 (47.349) Prec@5 72.656 (72.714)
Epoch: [70][1160/5005] Time 0.217 (0.214) Data 0.044 (0.047) Loss 2.3333 (2.3047) Prec@1 47.266 (47.352) Prec@5 69.531 (72.703)
Epoch: [70][1170/5005] Time 0.192 (0.214) Data 0.065 (0.047) Loss 2.2034 (2.3047) Prec@1 49.219 (47.352) Prec@5 73.438 (72.705)
Epoch: [70][1180/5005] Time 0.203 (0.214) Data 0.051 (0.047) Loss 2.4073 (2.3048) Prec@1 44.531 (47.343) Prec@5 69.922 (72.703)
Epoch: [70][1190/5005] Time 0.213 (0.214) Data 0.051 (0.047) Loss 2.1072 (2.3043) Prec@1 49.609 (47.344) Prec@5 77.344 (72.715)
Epoch: [70][1200/5005] Time 0.210 (0.214) Data 0.041 (0.047) Loss 2.5028 (2.3042) Prec@1 42.578 (47.345) Prec@5 71.484 (72.722)
Epoch: [70][1210/5005] Time 0.209 (0.214) Data 0.043 (0.047) Loss 2.2443 (2.3044) Prec@1 48.438 (47.346) Prec@5 75.781 (72.727)
Epoch: [70][1220/5005] Time 0.213 (0.214) Data 0.041 (0.047) Loss 2.1981 (2.3047) Prec@1 50.391 (47.344) Prec@5 75.781 (72.731)
Epoch: [70][1230/5005] Time 0.213 (0.214) Data 0.040 (0.047) Loss 2.2154 (2.3044) Prec@1 50.000 (47.337) Prec@5 73.828 (72.733)
Epoch: [70][1240/5005] Time 0.219 (0.214) Data 0.046 (0.047) Loss 2.3318 (2.3044) Prec@1 49.219 (47.340) Prec@5 74.219 (72.734)
Epoch: [70][1250/5005] Time 0.217 (0.214) Data 0.045 (0.047) Loss 2.5458 (2.3046) Prec@1 40.625 (47.328) Prec@5 67.969 (72.726)
Epoch: [70][1260/5005] Time 0.206 (0.214) Data 0.050 (0.047) Loss 2.1266 (2.3042) Prec@1 50.391 (47.328) Prec@5 73.438 (72.731)
Epoch: [70][1270/5005] Time 0.213 (0.214) Data 0.043 (0.047) Loss 2.5520 (2.3050) Prec@1 43.359 (47.320) Prec@5 71.484 (72.711)
Epoch: [70][1280/5005] Time 0.212 (0.214) Data 0.041 (0.047) Loss 2.1695 (2.3053) Prec@1 47.656 (47.317) Prec@5 74.219 (72.707)
Epoch: [70][1290/5005] Time 0.216 (0.214) Data 0.041 (0.047) Loss 2.2223 (2.3052) Prec@1 50.391 (47.325) Prec@5 73.047 (72.710)
Epoch: [70][1300/5005] Time 0.214 (0.214) Data 0.058 (0.047) Loss 2.2361 (2.3050) Prec@1 46.484 (47.329) Prec@5 75.000 (72.714)
Epoch: [70][1310/5005] Time 0.203 (0.214) Data 0.059 (0.047) Loss 2.3674 (2.3049) Prec@1 46.094 (47.328) Prec@5 73.438 (72.720)
Epoch: [70][1320/5005] Time 0.197 (0.214) Data 0.058 (0.047) Loss 2.5721 (2.3052) Prec@1 46.094 (47.330) Prec@5 69.531 (72.711)
Epoch: [70][1330/5005] Time 0.203 (0.214) Data 0.043 (0.047) Loss 2.5137 (2.3057) Prec@1 45.703 (47.325) Prec@5 69.922 (72.701)
Epoch: [70][1340/5005] Time 0.210 (0.214) Data 0.047 (0.047) Loss 2.2798 (2.3055) Prec@1 46.094 (47.331) Prec@5 71.875 (72.701)
Epoch: [70][1350/5005] Time 0.203 (0.214) Data 0.050 (0.047) Loss 2.6640 (2.3059) Prec@1 44.141 (47.316) Prec@5 69.531 (72.695)
Epoch: [70][1360/5005] Time 0.209 (0.214) Data 0.044 (0.047) Loss 2.0959 (2.3055) Prec@1 48.828 (47.324) Prec@5 76.562 (72.700)
Epoch: [70][1370/5005] Time 0.216 (0.214) Data 0.043 (0.047) Loss 2.4038 (2.3048) Prec@1 46.484 (47.335) Prec@5 70.312 (72.707)
Epoch: [70][1380/5005] Time 0.209 (0.214) Data 0.042 (0.047) Loss 2.3760 (2.3046) Prec@1 48.047 (47.345) Prec@5 74.609 (72.713)
Epoch: [70][1390/5005] Time 0.213 (0.214) Data 0.043 (0.047) Loss 2.3619 (2.3047) Prec@1 45.312 (47.347) Prec@5 73.438 (72.713)
Epoch: [70][1400/5005] Time 0.209 (0.214) Data 0.064 (0.047) Loss 2.2094 (2.3039) Prec@1 50.781 (47.356) Prec@5 74.219 (72.727)
Epoch: [70][1410/5005] Time 0.221 (0.214) Data 0.042 (0.047) Loss 2.2754 (2.3037) Prec@1 48.828 (47.361) Prec@5 74.219 (72.733)
Epoch: [70][1420/5005] Time 0.206 (0.214) Data 0.041 (0.047) Loss 2.5476 (2.3039) Prec@1 44.531 (47.360) Prec@5 71.094 (72.732)
Epoch: [70][1430/5005] Time 0.202 (0.214) Data 0.041 (0.047) Loss 1.9794 (2.3037) Prec@1 51.172 (47.373) Prec@5 77.344 (72.737)
Epoch: [70][1440/5005] Time 0.210 (0.214) Data 0.050 (0.047) Loss 2.1618 (2.3037) Prec@1 48.828 (47.366) Prec@5 72.656 (72.738)
Epoch: [70][1450/5005] Time 0.210 (0.214) Data 0.059 (0.047) Loss 2.2256 (2.3034) Prec@1 50.391 (47.367) Prec@5 73.047 (72.738)
Epoch: [70][1460/5005] Time 0.211 (0.214) Data 0.048 (0.047) Loss 2.4461 (2.3033) Prec@1 44.141 (47.370) Prec@5 68.359 (72.733)
Epoch: [70][1470/5005] Time 0.208 (0.214) Data 0.057 (0.047) Loss 2.3828 (2.3035) Prec@1 43.359 (47.369) Prec@5 71.484 (72.732)
Epoch: [70][1480/5005] Time 0.213 (0.214) Data 0.042 (0.047) Loss 2.3280 (2.3037) Prec@1 48.438 (47.369) Prec@5 72.266 (72.730)
Epoch: [70][1490/5005] Time 0.206 (0.214) Data 0.047 (0.047) Loss 2.5096 (2.3033) Prec@1 45.703 (47.378) Prec@5 68.750 (72.735)
Epoch: [70][1500/5005] Time 0.209 (0.214) Data 0.047 (0.047) Loss 2.3604 (2.3030) Prec@1 45.703 (47.380) Prec@5 69.922 (72.741)
Epoch: [70][1510/5005] Time 0.213 (0.214) Data 0.041 (0.047) Loss 2.2365 (2.3026) Prec@1 48.438 (47.393) Prec@5 74.219 (72.748)
Epoch: [70][1520/5005] Time 0.215 (0.214) Data 0.044 (0.047) Loss 2.3752 (2.3023) Prec@1 47.656 (47.404) Prec@5 72.656 (72.755)
Epoch: [70][1530/5005] Time 0.203 (0.214) Data 0.045 (0.047) Loss 2.4101 (2.3023) Prec@1 47.656 (47.406) Prec@5 70.312 (72.747)
Epoch: [70][1540/5005] Time 0.210 (0.213) Data 0.044 (0.047) Loss 2.4048 (2.3025) Prec@1 41.016 (47.403) Prec@5 70.703 (72.745)
Epoch: [70][1550/5005] Time 0.208 (0.213) Data 0.048 (0.047) Loss 2.1980 (2.3021) Prec@1 47.656 (47.407) Prec@5 74.219 (72.753)
Epoch: [70][1560/5005] Time 0.208 (0.213) Data 0.041 (0.047) Loss 2.2131 (2.3022) Prec@1 48.438 (47.404) Prec@5 74.219 (72.755)
Epoch: [70][1570/5005] Time 0.213 (0.213) Data 0.049 (0.047) Loss 2.1675 (2.3019) Prec@1 48.828 (47.412) Prec@5 72.656 (72.751)
Epoch: [70][1580/5005] Time 0.212 (0.213) Data 0.051 (0.047) Loss 2.2116 (2.3022) Prec@1 47.656 (47.404) Prec@5 77.734 (72.743)
Epoch: [70][1590/5005] Time 0.204 (0.213) Data 0.048 (0.047) Loss 2.2787 (2.3022) Prec@1 46.484 (47.401) Prec@5 71.484 (72.740)
Epoch: [70][1600/5005] Time 0.216 (0.213) Data 0.049 (0.047) Loss 2.3147 (2.3022) Prec@1 46.094 (47.398) Prec@5 73.047 (72.743)
Epoch: [70][1610/5005] Time 0.214 (0.213) Data 0.043 (0.047) Loss 2.3942 (2.3022) Prec@1 45.312 (47.400) Prec@5 73.438 (72.746)
Epoch: [70][1620/5005] Time 0.209 (0.213) Data 0.042 (0.047) Loss 2.4319 (2.3019) Prec@1 42.578 (47.395) Prec@5 71.875 (72.750)
Epoch: [70][1630/5005] Time 0.209 (0.213) Data 0.060 (0.047) Loss 2.2082 (2.3020) Prec@1 51.562 (47.394) Prec@5 74.219 (72.750)
Epoch: [70][1640/5005] Time 0.203 (0.213) Data 0.043 (0.047) Loss 2.4221 (2.3026) Prec@1 46.094 (47.390) Prec@5 71.875 (72.738)
Epoch: [70][1650/5005] Time 0.209 (0.213) Data 0.043 (0.047) Loss 2.4186 (2.3029) Prec@1 48.047 (47.388) Prec@5 67.578 (72.729)
Epoch: [70][1660/5005] Time 0.214 (0.213) Data 0.041 (0.047) Loss 2.2829 (2.3024) Prec@1 48.828 (47.401) Prec@5 71.875 (72.736)
Epoch: [70][1670/5005] Time 0.205 (0.213) Data 0.057 (0.047) Loss 2.1854 (2.3024) Prec@1 48.828 (47.401) Prec@5 72.266 (72.735)
Epoch: [70][1680/5005] Time 0.211 (0.213) Data 0.057 (0.047) Loss 2.5233 (2.3027) Prec@1 43.359 (47.401) Prec@5 71.094 (72.731)
Epoch: [70][1690/5005] Time 0.219 (0.213) Data 0.043 (0.047) Loss 2.1956 (2.3024) Prec@1 47.656 (47.406) Prec@5 76.172 (72.739)
Epoch: [70][1700/5005] Time 0.193 (0.213) Data 0.060 (0.047) Loss 2.3019 (2.3022) Prec@1 45.312 (47.405) Prec@5 75.781 (72.748)
Epoch: [70][1710/5005] Time 0.202 (0.213) Data 0.047 (0.047) Loss 2.2286 (2.3018) Prec@1 45.703 (47.403) Prec@5 73.438 (72.758)
Epoch: [70][1720/5005] Time 0.204 (0.213) Data 0.044 (0.047) Loss 2.3266 (2.3018) Prec@1 46.484 (47.401) Prec@5 72.266 (72.759)
Epoch: [70][1730/5005] Time 0.217 (0.213) Data 0.042 (0.047) Loss 2.2985 (2.3017) Prec@1 46.875 (47.404) Prec@5 71.484 (72.760)
Epoch: [70][1740/5005] Time 0.208 (0.213) Data 0.042 (0.047) Loss 2.4714 (2.3014) Prec@1 42.969 (47.403) Prec@5 67.578 (72.765)
Epoch: [70][1750/5005] Time 0.215 (0.213) Data 0.045 (0.047) Loss 2.2565 (2.3011) Prec@1 44.922 (47.402) Prec@5 73.828 (72.768)
Epoch: [70][1760/5005] Time 0.211 (0.213) Data 0.047 (0.047) Loss 2.0905 (2.3008) Prec@1 51.953 (47.405) Prec@5 78.125 (72.773)
Epoch: [70][1770/5005] Time 0.215 (0.213) Data 0.044 (0.047) Loss 2.3162 (2.3006) Prec@1 46.094 (47.411) Prec@5 73.047 (72.776)
Epoch: [70][1780/5005] Time 0.208 (0.213) Data 0.048 (0.047) Loss 2.1892 (2.3006) Prec@1 45.312 (47.410) Prec@5 76.172 (72.778)
Epoch: [70][1790/5005] Time 0.203 (0.213) Data 0.062 (0.047) Loss 2.2115 (2.3004) Prec@1 48.828 (47.412) Prec@5 72.656 (72.778)
Epoch: [70][1800/5005] Time 0.207 (0.213) Data 0.059 (0.047) Loss 2.2927 (2.3002) Prec@1 48.047 (47.421) Prec@5 73.047 (72.780)
Epoch: [70][1810/5005] Time 0.216 (0.213) Data 0.045 (0.047) Loss 2.1491 (2.2999) Prec@1 49.609 (47.416) Prec@5 76.562 (72.789)
Epoch: [70][1820/5005] Time 0.208 (0.213) Data 0.048 (0.047) Loss 2.3568 (2.3000) Prec@1 46.875 (47.419) Prec@5 73.047 (72.789)
Epoch: [70][1830/5005] Time 0.204 (0.213) Data 0.062 (0.047) Loss 2.0904 (2.2999) Prec@1 47.266 (47.418) Prec@5 76.172 (72.784)
Epoch: [70][1840/5005] Time 0.201 (0.213) Data 0.047 (0.047) Loss 2.4718 (2.2999) Prec@1 40.625 (47.414) Prec@5 67.969 (72.779)
Epoch: [70][1850/5005] Time 0.205 (0.213) Data 0.043 (0.047) Loss 2.2849 (2.2999) Prec@1 50.000 (47.413) Prec@5 72.656 (72.781)
Epoch: [70][1860/5005] Time 0.215 (0.213) Data 0.056 (0.047) Loss 2.2753 (2.3000) Prec@1 48.828 (47.406) Prec@5 72.656 (72.782)
Epoch: [70][1870/5005] Time 0.200 (0.213) Data 0.046 (0.047) Loss 2.4393 (2.3001) Prec@1 44.141 (47.403) Prec@5 73.047 (72.778)
Epoch: [70][1880/5005] Time 0.213 (0.213) Data 0.047 (0.047) Loss 2.3322 (2.3004) Prec@1 46.875 (47.398) Prec@5 76.172 (72.778)
Epoch: [70][1890/5005] Time 0.208 (0.213) Data 0.041 (0.047) Loss 2.3611 (2.3001) Prec@1 46.484 (47.399) Prec@5 69.922 (72.779)
Epoch: [70][1900/5005] Time 0.198 (0.213) Data 0.050 (0.047) Loss 2.4021 (2.3004) Prec@1 44.922 (47.392) Prec@5 72.266 (72.775)
Epoch: [70][1910/5005] Time 0.209 (0.213) Data 0.047 (0.047) Loss 2.1539 (2.3004) Prec@1 49.219 (47.390) Prec@5 74.609 (72.770)
Epoch: [70][1920/5005] Time 0.211 (0.213) Data 0.061 (0.047) Loss 2.1676 (2.3001) Prec@1 51.953 (47.392) Prec@5 76.562 (72.776)
Epoch: [70][1930/5005] Time 0.215 (0.213) Data 0.069 (0.047) Loss 2.1220 (2.2999) Prec@1 53.516 (47.400) Prec@5 73.047 (72.776)
Epoch: [70][1940/5005] Time 0.212 (0.213) Data 0.048 (0.047) Loss 2.0527 (2.2994) Prec@1 50.391 (47.398) Prec@5 76.953 (72.789)
Epoch: [70][1950/5005] Time 0.215 (0.213) Data 0.065 (0.047) Loss 2.3612 (2.2994) Prec@1 42.969 (47.396) Prec@5 71.094 (72.787)
Epoch: [70][1960/5005] Time 0.217 (0.213) Data 0.042 (0.047) Loss 2.1853 (2.2992) Prec@1 45.703 (47.399) Prec@5 74.609 (72.792)
Epoch: [70][1970/5005] Time 0.208 (0.212) Data 0.045 (0.047) Loss 2.3473 (2.2995) Prec@1 45.312 (47.389) Prec@5 69.531 (72.784)
Epoch: [70][1980/5005] Time 0.213 (0.212) Data 0.047 (0.047) Loss 2.2324 (2.2994) Prec@1 50.000 (47.394) Prec@5 71.875 (72.788)
Epoch: [70][1990/5005] Time 0.211 (0.212) Data 0.050 (0.047) Loss 2.1234 (2.2994) Prec@1 50.000 (47.396) Prec@5 75.000 (72.788)
Epoch: [70][2000/5005] Time 0.209 (0.212) Data 0.053 (0.047) Loss 2.1485 (2.2995) Prec@1 51.172 (47.397) Prec@5 73.438 (72.787)
Epoch: [70][2010/5005] Time 0.216 (0.212) Data 0.043 (0.047) Loss 2.2082 (2.2997) Prec@1 48.438 (47.387) Prec@5 73.828 (72.783)
Epoch: [70][2020/5005] Time 0.198 (0.212) Data 0.060 (0.048) Loss 2.3506 (2.2996) Prec@1 44.531 (47.382) Prec@5 73.047 (72.782)
Epoch: [70][2030/5005] Time 0.213 (0.212) Data 0.050 (0.048) Loss 2.1788 (2.2996) Prec@1 46.484 (47.382) Prec@5 75.781 (72.781)
Epoch: [70][2040/5005] Time 0.213 (0.212) Data 0.049 (0.048) Loss 2.0588 (2.2993) Prec@1 50.391 (47.386) Prec@5 76.172 (72.789)
Epoch: [70][2050/5005] Time 0.211 (0.212) Data 0.046 (0.048) Loss 2.3429 (2.2993) Prec@1 48.438 (47.382) Prec@5 68.359 (72.791)
Epoch: [70][2060/5005] Time 0.199 (0.212) Data 0.049 (0.048) Loss 2.3028 (2.2993) Prec@1 46.094 (47.382) Prec@5 71.094 (72.792)
Epoch: [70][2070/5005] Time 0.216 (0.212) Data 0.048 (0.048) Loss 2.3749 (2.2994) Prec@1 43.750 (47.380) Prec@5 71.094 (72.789)
Epoch: [70][2080/5005] Time 0.207 (0.212) Data 0.042 (0.048) Loss 2.3905 (2.2993) Prec@1 44.531 (47.381) Prec@5 71.875 (72.793)
Epoch: [70][2090/5005] Time 0.204 (0.212) Data 0.040 (0.048) Loss 2.1693 (2.2989) Prec@1 49.609 (47.388) Prec@5 73.438 (72.796)
Epoch: [70][2100/5005] Time 0.214 (0.212) Data 0.042 (0.048) Loss 2.3816 (2.2987) Prec@1 44.922 (47.395) Prec@5 73.047 (72.798)
Epoch: [70][2110/5005] Time 0.199 (0.212) Data 0.045 (0.048) Loss 2.1207 (2.2987) Prec@1 54.297 (47.401) Prec@5 73.047 (72.794)
Epoch: [70][2120/5005] Time 0.210 (0.212) Data 0.044 (0.048) Loss 2.4425 (2.2986) Prec@1 44.922 (47.405) Prec@5 71.094 (72.796)
Epoch: [70][2130/5005] Time 0.212 (0.212) Data 0.044 (0.047) Loss 2.3374 (2.2983) Prec@1 47.656 (47.413) Prec@5 73.828 (72.804)
Epoch: [70][2140/5005] Time 0.204 (0.212) Data 0.043 (0.047) Loss 2.1592 (2.2983) Prec@1 49.219 (47.415) Prec@5 76.172 (72.805)
Epoch: [70][2150/5005] Time 0.198 (0.212) Data 0.051 (0.048) Loss 2.3005 (2.2982) Prec@1 46.484 (47.418) Prec@5 71.875 (72.806)
Epoch: [70][2160/5005] Time 0.217 (0.212) Data 0.043 (0.048) Loss 2.2117 (2.2982) Prec@1 50.000 (47.419) Prec@5 75.391 (72.806)
Epoch: [70][2170/5005] Time 0.211 (0.212) Data 0.043 (0.047) Loss 2.1966 (2.2978) Prec@1 49.219 (47.428) Prec@5 75.781 (72.815)
Epoch: [70][2180/5005] Time 0.211 (0.212) Data 0.041 (0.047) Loss 2.3892 (2.2978) Prec@1 49.609 (47.433) Prec@5 72.266 (72.814)
Epoch: [70][2190/5005] Time 0.214 (0.212) Data 0.046 (0.047) Loss 2.5284 (2.2979) Prec@1 43.750 (47.434) Prec@5 67.188 (72.815)
Epoch: [70][2200/5005] Time 0.202 (0.212) Data 0.045 (0.047) Loss 2.4242 (2.2981) Prec@1 41.016 (47.429) Prec@5 69.141 (72.809)
Epoch: [70][2210/5005] Time 0.204 (0.212) Data 0.043 (0.047) Loss 2.4598 (2.2984) Prec@1 46.094 (47.427) Prec@5 71.484 (72.805)
Epoch: [70][2220/5005] Time 0.213 (0.212) Data 0.044 (0.047) Loss 2.4768 (2.2984) Prec@1 46.875 (47.424) Prec@5 69.922 (72.805)
Epoch: [70][2230/5005] Time 0.206 (0.212) Data 0.039 (0.047) Loss 2.3428 (2.2984) Prec@1 47.266 (47.423) Prec@5 74.609 (72.804)
Epoch: [70][2240/5005] Time 0.212 (0.212) Data 0.043 (0.047) Loss 2.2490 (2.2983) Prec@1 51.562 (47.425) Prec@5 74.609 (72.806)
Epoch: [70][2250/5005] Time 0.206 (0.212) Data 0.042 (0.047) Loss 2.1453 (2.2984) Prec@1 50.000 (47.430) Prec@5 73.828 (72.804)
Epoch: [70][2260/5005] Time 0.213 (0.212) Data 0.041 (0.047) Loss 2.3431 (2.2982) Prec@1 44.531 (47.432) Prec@5 71.094 (72.806)
Epoch: [70][2270/5005] Time 0.207 (0.212) Data 0.041 (0.047) Loss 2.3558 (2.2981) Prec@1 47.656 (47.439) Prec@5 69.922 (72.804)
Epoch: [70][2280/5005] Time 0.203 (0.212) Data 0.047 (0.047) Loss 2.2126 (2.2980) Prec@1 49.609 (47.441) Prec@5 75.781 (72.807)
Epoch: [70][2290/5005] Time 0.212 (0.212) Data 0.044 (0.047) Loss 2.1670 (2.2979) Prec@1 49.609 (47.440) Prec@5 73.828 (72.810)
Epoch: [70][2300/5005] Time 0.212 (0.212) Data 0.044 (0.047) Loss 2.2540 (2.2980) Prec@1 48.047 (47.440) Prec@5 71.484 (72.809)
Epoch: [70][2310/5005] Time 0.216 (0.212) Data 0.063 (0.047) Loss 2.1783 (2.2978) Prec@1 48.828 (47.445) Prec@5 72.266 (72.812)
Epoch: [70][2320/5005] Time 0.207 (0.212) Data 0.053 (0.047) Loss 2.4660 (2.2978) Prec@1 46.094 (47.444) Prec@5 72.266 (72.813)
Epoch: [70][2330/5005] Time 0.201 (0.212) Data 0.049 (0.047) Loss 2.2669 (2.2976) Prec@1 47.656 (47.447) Prec@5 73.828 (72.816)
Epoch: [70][2340/5005] Time 0.212 (0.212) Data 0.044 (0.047) Loss 2.3273 (2.2974) Prec@1 45.703 (47.451) Prec@5 71.875 (72.820)
Epoch: [70][2350/5005] Time 0.203 (0.212) Data 0.047 (0.047) Loss 2.2851 (2.2972) Prec@1 48.438 (47.451) Prec@5 73.438 (72.825)
Epoch: [70][2360/5005] Time 0.213 (0.212) Data 0.046 (0.047) Loss 2.3075 (2.2973) Prec@1 48.047 (47.449) Prec@5 72.266 (72.821)
Epoch: [70][2370/5005] Time 0.207 (0.212) Data 0.043 (0.047) Loss 2.2870 (2.2975) Prec@1 46.484 (47.447) Prec@5 73.438 (72.819)
Epoch: [70][2380/5005] Time 0.207 (0.212) Data 0.039 (0.047) Loss 2.2723 (2.2973) Prec@1 49.219 (47.451) Prec@5 72.266 (72.821)
Epoch: [70][2390/5005] Time 0.209 (0.212) Data 0.044 (0.047) Loss 2.3207 (2.2973) Prec@1 47.656 (47.452) Prec@5 71.094 (72.814)
Epoch: [70][2400/5005] Time 0.212 (0.212) Data 0.044 (0.047) Loss 2.2604 (2.2972) Prec@1 47.266 (47.453) Prec@5 76.953 (72.819)
Epoch: [70][2410/5005] Time 0.211 (0.212) Data 0.051 (0.047) Loss 2.5287 (2.2972) Prec@1 42.188 (47.453) Prec@5 67.578 (72.816)
Epoch: [70][2420/5005] Time 0.203 (0.212) Data 0.045 (0.047) Loss 2.2645 (2.2970) Prec@1 49.609 (47.461) Prec@5 72.266 (72.819)
Epoch: [70][2430/5005] Time 0.202 (0.212) Data 0.044 (0.047) Loss 2.1528 (2.2971) Prec@1 51.172 (47.461) Prec@5 73.047 (72.814)
Epoch: [70][2440/5005] Time 0.199 (0.212) Data 0.055 (0.047) Loss 2.1768 (2.2972) Prec@1 50.000 (47.462) Prec@5 76.562 (72.808)
Epoch: [70][2450/5005] Time 0.213 (0.212) Data 0.053 (0.047) Loss 2.0071 (2.2969) Prec@1 53.125 (47.467) Prec@5 75.781 (72.813)
Epoch: [70][2460/5005] Time 0.210 (0.212) Data 0.044 (0.047) Loss 2.2310 (2.2968) Prec@1 50.391 (47.469) Prec@5 75.000 (72.813)
Epoch: [70][2470/5005] Time 0.211 (0.212) Data 0.043 (0.047) Loss 2.0325 (2.2964) Prec@1 52.344 (47.475) Prec@5 75.391 (72.821)
Epoch: [70][2480/5005] Time 0.208 (0.212) Data 0.047 (0.047) Loss 2.4101 (2.2966) Prec@1 44.531 (47.471) Prec@5 71.484 (72.819)
Epoch: [70][2490/5005] Time 0.207 (0.212) Data 0.047 (0.047) Loss 1.9765 (2.2964) Prec@1 51.562 (47.469) Prec@5 80.078 (72.822)
Epoch: [70][2500/5005] Time 0.206 (0.212) Data 0.047 (0.047) Loss 2.3578 (2.2963) Prec@1 44.531 (47.472) Prec@5 69.922 (72.822)
Epoch: [70][2510/5005] Time 0.202 (0.212) Data 0.044 (0.047) Loss 2.4271 (2.2963) Prec@1 39.453 (47.468) Prec@5 71.875 (72.820)
Epoch: [70][2520/5005] Time 0.208 (0.212) Data 0.046 (0.047) Loss 2.0801 (2.2963) Prec@1 54.297 (47.471) Prec@5 74.609 (72.820)
Epoch: [70][2530/5005] Time 0.200 (0.212) Data 0.044 (0.047) Loss 2.4699 (2.2965) Prec@1 46.484 (47.467) Prec@5 71.094 (72.814)
Epoch: [70][2540/5005] Time 0.203 (0.212) Data 0.045 (0.047) Loss 2.2383 (2.2964) Prec@1 45.703 (47.468) Prec@5 74.609 (72.815)
Epoch: [70][2550/5005] Time 0.209 (0.212) Data 0.047 (0.047) Loss 2.2479 (2.2965) Prec@1 50.781 (47.470) Prec@5 76.953 (72.814)
Epoch: [70][2560/5005] Time 0.216 (0.212) Data 0.044 (0.047) Loss 2.4374 (2.2967) Prec@1 46.875 (47.474) Prec@5 69.531 (72.810)
Epoch: [70][2570/5005] Time 0.208 (0.212) Data 0.045 (0.047) Loss 2.2683 (2.2967) Prec@1 46.875 (47.473) Prec@5 71.875 (72.807)
Epoch: [70][2580/5005] Time 0.214 (0.212) Data 0.041 (0.047) Loss 2.4171 (2.2970) Prec@1 44.531 (47.468) Prec@5 67.969 (72.799)
Epoch: [70][2590/5005] Time 0.194 (0.212) Data 0.047 (0.047) Loss 2.3931 (2.2968) Prec@1 47.266 (47.480) Prec@5 70.312 (72.801)
Epoch: [70][2600/5005] Time 0.211 (0.212) Data 0.044 (0.047) Loss 2.4198 (2.2970) Prec@1 46.094 (47.475) Prec@5 73.438 (72.800)
Epoch: [70][2610/5005] Time 0.209 (0.212) Data 0.044 (0.047) Loss 2.3752 (2.2969) Prec@1 46.484 (47.479) Prec@5 73.047 (72.801)
Epoch: [70][2620/5005] Time 0.208 (0.212) Data 0.047 (0.047) Loss 2.2595 (2.2969) Prec@1 46.875 (47.480) Prec@5 71.875 (72.804)
Epoch: [70][2630/5005] Time 0.217 (0.211) Data 0.048 (0.047) Loss 2.4179 (2.2971) Prec@1 45.312 (47.478) Prec@5 74.219 (72.799)
Epoch: [70][2640/5005] Time 0.207 (0.211) Data 0.049 (0.047) Loss 2.4430 (2.2971) Prec@1 45.703 (47.474) Prec@5 70.703 (72.797)
Epoch: [70][2650/5005] Time 0.202 (0.211) Data 0.044 (0.047) Loss 2.5718 (2.2971) Prec@1 42.578 (47.473) Prec@5 67.969 (72.797)
Epoch: [70][2660/5005] Time 0.206 (0.211) Data 0.040 (0.047) Loss 2.3159 (2.2972) Prec@1 43.359 (47.470) Prec@5 74.609 (72.794)
Epoch: [70][2670/5005] Time 0.206 (0.211) Data 0.046 (0.047) Loss 1.9228 (2.2968) Prec@1 49.609 (47.478) Prec@5 78.516 (72.801)
Epoch: [70][2680/5005] Time 0.214 (0.211) Data 0.043 (0.047) Loss 2.2036 (2.2969) Prec@1 46.484 (47.477) Prec@5 75.000 (72.800)
Epoch: [70][2690/5005] Time 0.210 (0.211) Data 0.053 (0.047) Loss 2.1056 (2.2968) Prec@1 53.125 (47.477) Prec@5 75.781 (72.802)
Epoch: [70][2700/5005] Time 0.210 (0.211) Data 0.043 (0.047) Loss 2.3260 (2.2969) Prec@1 44.141 (47.471) Prec@5 70.703 (72.803)
Epoch: [70][2710/5005] Time 0.215 (0.211) Data 0.044 (0.047) Loss 2.2313 (2.2970) Prec@1 46.484 (47.466) Prec@5 71.484 (72.800)
Epoch: [70][2720/5005] Time 0.211 (0.211) Data 0.043 (0.047) Loss 2.2276 (2.2969) Prec@1 52.734 (47.464) Prec@5 73.438 (72.801)
Epoch: [70][2730/5005] Time 0.212 (0.211) Data 0.043 (0.047) Loss 2.3139 (2.2967) Prec@1 48.047 (47.465) Prec@5 71.484 (72.802)
Epoch: [70][2740/5005] Time 0.203 (0.211) Data 0.043 (0.047) Loss 2.3552 (2.2968) Prec@1 47.266 (47.466) Prec@5 71.875 (72.802)
Epoch: [70][2750/5005] Time 0.210 (0.211) Data 0.043 (0.047) Loss 2.2368 (2.2968) Prec@1 46.094 (47.464) Prec@5 75.391 (72.799)
Epoch: [70][2760/5005] Time 0.214 (0.211) Data 0.046 (0.047) Loss 2.2031 (2.2966) Prec@1 50.781 (47.469) Prec@5 73.438 (72.803)
Epoch: [70][2770/5005] Time 0.212 (0.211) Data 0.044 (0.047) Loss 2.2238 (2.2967) Prec@1 47.656 (47.468) Prec@5 74.609 (72.800)
Epoch: [70][2780/5005] Time 0.221 (0.211) Data 0.044 (0.047) Loss 2.4730 (2.2968) Prec@1 43.750 (47.467) Prec@5 72.656 (72.801)
Epoch: [70][2790/5005] Time 0.209 (0.211) Data 0.047 (0.047) Loss 2.4739 (2.2969) Prec@1 41.016 (47.467) Prec@5 69.531 (72.798)
Epoch: [70][2800/5005] Time 0.210 (0.211) Data 0.046 (0.047) Loss 2.1029 (2.2968) Prec@1 53.516 (47.472) Prec@5 76.172 (72.799)
Epoch: [70][2810/5005] Time 0.209 (0.211) Data 0.040 (0.047) Loss 2.5103 (2.2968) Prec@1 48.438 (47.477) Prec@5 69.141 (72.797)
Epoch: [70][2820/5005] Time 0.213 (0.211) Data 0.044 (0.047) Loss 2.0609 (2.2967) Prec@1 46.875 (47.474) Prec@5 75.391 (72.801)
Epoch: [70][2830/5005] Time 0.211 (0.211) Data 0.045 (0.047) Loss 2.5440 (2.2966) Prec@1 41.797 (47.476) Prec@5 70.312 (72.803)
Epoch: [70][2840/5005] Time 0.214 (0.211) Data 0.045 (0.047) Loss 2.3244 (2.2966) Prec@1 46.094 (47.478) Prec@5 72.266 (72.804)
Epoch: [70][2850/5005] Time 0.207 (0.211) Data 0.045 (0.047) Loss 2.2497 (2.2965) Prec@1 50.391 (47.480) Prec@5 72.656 (72.805)
Epoch: [70][2860/5005] Time 0.208 (0.211) Data 0.054 (0.047) Loss 2.1667 (2.2965) Prec@1 52.734 (47.481) Prec@5 76.953 (72.806)
Epoch: [70][2870/5005] Time 0.205 (0.211) Data 0.043 (0.047) Loss 2.3120 (2.2964) Prec@1 46.094 (47.483) Prec@5 71.094 (72.808)
Epoch: [70][2880/5005] Time 0.201 (0.211) Data 0.058 (0.047) Loss 2.2440 (2.2964) Prec@1 47.656 (47.481) Prec@5 74.219 (72.808)
Epoch: [70][2890/5005] Time 0.219 (0.211) Data 0.046 (0.047) Loss 2.2394 (2.2962) Prec@1 46.875 (47.486) Prec@5 73.828 (72.812)
Epoch: [70][2900/5005] Time 0.214 (0.211) Data 0.050 (0.047) Loss 2.0100 (2.2960) Prec@1 52.734 (47.486) Prec@5 77.734 (72.819)
Epoch: [70][2910/5005] Time 0.208 (0.211) Data 0.050 (0.047) Loss 2.2279 (2.2961) Prec@1 46.875 (47.485) Prec@5 75.000 (72.817)
Epoch: [70][2920/5005] Time 0.210 (0.211) Data 0.043 (0.047) Loss 2.4570 (2.2960) Prec@1 41.797 (47.486) Prec@5 72.266 (72.820)
Epoch: [70][2930/5005] Time 0.215 (0.211) Data 0.042 (0.047) Loss 2.4696 (2.2961) Prec@1 44.531 (47.488) Prec@5 69.141 (72.817)
Epoch: [70][2940/5005] Time 0.207 (0.211) Data 0.051 (0.047) Loss 2.3679 (2.2958) Prec@1 46.484 (47.491) Prec@5 70.312 (72.823)
Epoch: [70][2950/5005] Time 0.213 (0.211) Data 0.041 (0.047) Loss 2.4049 (2.2957) Prec@1 40.625 (47.493) Prec@5 73.438 (72.826)
Epoch: [70][2960/5005] Time 0.194 (0.211) Data 0.041 (0.047) Loss 2.2284 (2.2955) Prec@1 49.609 (47.495) Prec@5 71.484 (72.828)
Epoch: [70][2970/5005] Time 0.205 (0.211) Data 0.039 (0.047) Loss 2.4682 (2.2954) Prec@1 43.359 (47.497) Prec@5 71.875 (72.831)
Epoch: [70][2980/5005] Time 0.206 (0.211) Data 0.042 (0.047) Loss 2.4173 (2.2953) Prec@1 47.656 (47.500) Prec@5 69.531 (72.833)
Epoch: [70][2990/5005] Time 0.211 (0.211) Data 0.043 (0.047) Loss 2.2663 (2.2954) Prec@1 49.609 (47.499) Prec@5 70.312 (72.832)
Epoch: [70][3000/5005] Time 0.209 (0.211) Data 0.043 (0.047) Loss 2.2863 (2.2953) Prec@1 45.312 (47.501) Prec@5 73.828 (72.833)
Epoch: [70][3010/5005] Time 0.210 (0.211) Data 0.044 (0.047) Loss 2.2786 (2.2953) Prec@1 48.047 (47.501) Prec@5 72.656 (72.833)
Epoch: [70][3020/5005] Time 0.211 (0.211) Data 0.045 (0.047) Loss 2.2556 (2.2955) Prec@1 51.172 (47.501) Prec@5 74.609 (72.829)
Epoch: [70][3030/5005] Time 0.205 (0.211) Data 0.043 (0.047) Loss 2.1816 (2.2955) Prec@1 51.172 (47.503) Prec@5 76.953 (72.831)
Epoch: [70][3040/5005] Time 0.210 (0.211) Data 0.040 (0.047) Loss 2.2918 (2.2953) Prec@1 46.484 (47.510) Prec@5 72.266 (72.830)
Epoch: [70][3050/5005] Time 0.211 (0.211) Data 0.042 (0.047) Loss 2.2864 (2.2952) Prec@1 48.828 (47.511) Prec@5 74.219 (72.835)
Epoch: [70][3060/5005] Time 0.200 (0.211) Data 0.041 (0.047) Loss 2.2320 (2.2950) Prec@1 49.609 (47.513) Prec@5 73.438 (72.838)
Epoch: [70][3070/5005] Time 0.213 (0.211) Data 0.044 (0.047) Loss 2.2324 (2.2948) Prec@1 48.828 (47.515) Prec@5 75.781 (72.841)
Epoch: [70][3080/5005] Time 0.204 (0.211) Data 0.066 (0.047) Loss 2.0583 (2.2948) Prec@1 48.438 (47.513) Prec@5 76.172 (72.841)
Epoch: [70][3090/5005] Time 0.209 (0.211) Data 0.049 (0.047) Loss 2.5776 (2.2947) Prec@1 41.797 (47.513) Prec@5 67.969 (72.845)
Epoch: [70][3100/5005] Time 0.218 (0.211) Data 0.041 (0.047) Loss 2.3917 (2.2947) Prec@1 48.828 (47.515) Prec@5 70.703 (72.846)
Epoch: [70][3110/5005] Time 0.211 (0.211) Data 0.043 (0.047) Loss 2.0293 (2.2945) Prec@1 48.047 (47.516) Prec@5 75.781 (72.850)
Epoch: [70][3120/5005] Time 0.207 (0.211) Data 0.047 (0.047) Loss 2.4837 (2.2946) Prec@1 42.188 (47.514) Prec@5 71.484 (72.848)
Epoch: [70][3130/5005] Time 0.213 (0.211) Data 0.042 (0.047) Loss 2.4517 (2.2944) Prec@1 42.188 (47.519) Prec@5 73.047 (72.851)
Epoch: [70][3140/5005] Time 0.212 (0.211) Data 0.041 (0.047) Loss 2.0437 (2.2942) Prec@1 50.781 (47.519) Prec@5 76.953 (72.854)
Epoch: [70][3150/5005] Time 0.209 (0.211) Data 0.044 (0.047) Loss 2.2506 (2.2941) Prec@1 48.438 (47.523) Prec@5 73.828 (72.858)
Epoch: [70][3160/5005] Time 0.212 (0.211) Data 0.042 (0.047) Loss 2.2326 (2.2942) Prec@1 47.656 (47.525) Prec@5 72.266 (72.855)
Epoch: [70][3170/5005] Time 0.220 (0.211) Data 0.050 (0.047) Loss 2.2900 (2.2942) Prec@1 44.922 (47.526) Prec@5 70.312 (72.856)
Epoch: [70][3180/5005] Time 0.205 (0.211) Data 0.053 (0.047) Loss 2.1897 (2.2942) Prec@1 53.125 (47.528) Prec@5 72.266 (72.855)
Epoch: [70][3190/5005] Time 0.204 (0.211) Data 0.060 (0.047) Loss 2.3141 (2.2942) Prec@1 48.047 (47.530) Prec@5 71.094 (72.855)
Epoch: [70][3200/5005] Time 0.208 (0.211) Data 0.050 (0.047) Loss 2.3264 (2.2941) Prec@1 46.875 (47.536) Prec@5 75.000 (72.857)
Epoch: [70][3210/5005] Time 0.219 (0.211) Data 0.044 (0.047) Loss 2.3506 (2.2942) Prec@1 48.047 (47.535) Prec@5 73.438 (72.856)
Epoch: [70][3220/5005] Time 0.208 (0.211) Data 0.044 (0.047) Loss 2.3416 (2.2943) Prec@1 48.047 (47.537) Prec@5 69.922 (72.856)
Epoch: [70][3230/5005] Time 0.194 (0.211) Data 0.046 (0.047) Loss 2.1240 (2.2940) Prec@1 48.438 (47.542) Prec@5 76.562 (72.859)
Epoch: [70][3240/5005] Time 0.194 (0.211) Data 0.048 (0.047) Loss 2.4350 (2.2944) Prec@1 42.578 (47.532) Prec@5 69.922 (72.855)
Epoch: [70][3250/5005] Time 0.210 (0.211) Data 0.041 (0.047) Loss 2.1775 (2.2944) Prec@1 52.344 (47.531) Prec@5 76.172 (72.856)
Epoch: [70][3260/5005] Time 0.209 (0.211) Data 0.042 (0.047) Loss 2.3139 (2.2945) Prec@1 46.094 (47.528) Prec@5 73.047 (72.853)
Epoch: [70][3270/5005] Time 0.207 (0.211) Data 0.043 (0.047) Loss 2.4771 (2.2944) Prec@1 46.094 (47.530) Prec@5 69.531 (72.856)
Epoch: [70][3280/5005] Time 0.207 (0.211) Data 0.042 (0.047) Loss 2.2117 (2.2945) Prec@1 48.828 (47.529) Prec@5 71.875 (72.853)
Epoch: [70][3290/5005] Time 0.203 (0.211) Data 0.041 (0.047) Loss 2.2365 (2.2944) Prec@1 48.438 (47.532) Prec@5 76.172 (72.857)
Epoch: [70][3300/5005] Time 0.211 (0.211) Data 0.049 (0.047) Loss 2.1931 (2.2943) Prec@1 46.094 (47.530) Prec@5 72.656 (72.856)
Epoch: [70][3310/5005] Time 0.197 (0.211) Data 0.043 (0.047) Loss 2.2604 (2.2944) Prec@1 49.219 (47.529) Prec@5 74.609 (72.856)
Epoch: [70][3320/5005] Time 0.211 (0.211) Data 0.044 (0.047) Loss 2.1977 (2.2943) Prec@1 53.906 (47.531) Prec@5 71.094 (72.855)
Epoch: [70][3330/5005] Time 0.212 (0.211) Data 0.045 (0.047) Loss 2.3725 (2.2944) Prec@1 46.094 (47.532) Prec@5 70.312 (72.852)
Epoch: [70][3340/5005] Time 0.216 (0.211) Data 0.041 (0.047) Loss 2.3704 (2.2943) Prec@1 43.359 (47.532) Prec@5 73.828 (72.855)
Epoch: [70][3350/5005] Time 0.207 (0.211) Data 0.048 (0.047) Loss 2.3196 (2.2942) Prec@1 51.172 (47.533) Prec@5 71.094 (72.857)
Epoch: [70][3360/5005] Time 0.213 (0.211) Data 0.045 (0.047) Loss 2.2432 (2.2943) Prec@1 48.828 (47.534) Prec@5 71.484 (72.853)
Epoch: [70][3370/5005] Time 0.211 (0.211) Data 0.042 (0.047) Loss 2.2388 (2.2942) Prec@1 43.750 (47.533) Prec@5 76.953 (72.856)
Epoch: [70][3380/5005] Time 0.215 (0.211) Data 0.044 (0.047) Loss 2.4036 (2.2940) Prec@1 44.922 (47.533) Prec@5 72.266 (72.859)
Epoch: [70][3390/5005] Time 0.211 (0.211) Data 0.043 (0.047) Loss 2.1578 (2.2941) Prec@1 51.562 (47.528) Prec@5 73.438 (72.856)
Epoch: [70][3400/5005] Time 0.215 (0.211) Data 0.042 (0.047) Loss 2.1663 (2.2942) Prec@1 52.734 (47.530) Prec@5 75.781 (72.854)
Epoch: [70][3410/5005] Time 0.211 (0.211) Data 0.047 (0.047) Loss 2.2584 (2.2940) Prec@1 45.312 (47.534) Prec@5 76.562 (72.857)
Epoch: [70][3420/5005] Time 0.207 (0.211) Data 0.049 (0.047) Loss 2.2773 (2.2939) Prec@1 46.875 (47.534) Prec@5 72.266 (72.858)
Epoch: [70][3430/5005] Time 0.209 (0.211) Data 0.048 (0.047) Loss 2.2490 (2.2940) Prec@1 46.484 (47.535) Prec@5 71.875 (72.858)
Epoch: [70][3440/5005] Time 0.211 (0.211) Data 0.044 (0.047) Loss 2.3517 (2.2938) Prec@1 48.828 (47.537) Prec@5 69.141 (72.861)
Epoch: [70][3450/5005] Time 0.203 (0.211) Data 0.048 (0.047) Loss 2.0782 (2.2936) Prec@1 50.391 (47.544) Prec@5 75.781 (72.864)
Epoch: [70][3460/5005] Time 0.203 (0.211) Data 0.053 (0.047) Loss 2.2895 (2.2936) Prec@1 43.750 (47.541) Prec@5 72.266 (72.865)
Epoch: [70][3470/5005] Time 0.215 (0.211) Data 0.044 (0.047) Loss 2.1238 (2.2934) Prec@1 51.172 (47.545) Prec@5 76.172 (72.867)
Epoch: [70][3480/5005] Time 0.221 (0.211) Data 0.043 (0.047) Loss 2.1757 (2.2931) Prec@1 51.172 (47.552) Prec@5 74.609 (72.873)
Epoch: [70][3490/5005] Time 0.205 (0.211) Data 0.041 (0.047) Loss 2.4526 (2.2932) Prec@1 43.750 (47.550) Prec@5 69.141 (72.872)
Epoch: [70][3500/5005] Time 0.215 (0.211) Data 0.057 (0.047) Loss 2.1637 (2.2933) Prec@1 49.609 (47.547) Prec@5 78.516 (72.872)
Epoch: [70][3510/5005] Time 0.200 (0.211) Data 0.044 (0.047) Loss 2.2198 (2.2932) Prec@1 44.141 (47.548) Prec@5 72.656 (72.872)
Epoch: [70][3520/5005] Time 0.201 (0.211) Data 0.043 (0.047) Loss 2.4990 (2.2931) Prec@1 45.312 (47.551) Prec@5 70.312 (72.872)
Epoch: [70][3530/5005] Time 0.211 (0.211) Data 0.044 (0.047) Loss 2.2380 (2.2930) Prec@1 46.484 (47.556) Prec@5 72.266 (72.874)
Epoch: [70][3540/5005] Time 0.196 (0.211) Data 0.050 (0.047) Loss 2.1794 (2.2928) Prec@1 51.562 (47.561) Prec@5 73.047 (72.873)
Epoch: [70][3550/5005] Time 0.209 (0.211) Data 0.048 (0.047) Loss 2.4052 (2.2927) Prec@1 43.750 (47.563) Prec@5 70.312 (72.875)
Epoch: [70][3560/5005] Time 0.202 (0.211) Data 0.050 (0.047) Loss 2.3226 (2.2926) Prec@1 47.266 (47.563) Prec@5 70.703 (72.875)
Epoch: [70][3570/5005] Time 0.214 (0.211) Data 0.062 (0.047) Loss 2.3757 (2.2927) Prec@1 49.219 (47.562) Prec@5 71.484 (72.873)
Epoch: [70][3580/5005] Time 0.209 (0.211) Data 0.055 (0.047) Loss 2.2774 (2.2928) Prec@1 48.047 (47.560) Prec@5 75.000 (72.872)
Epoch: [70][3590/5005] Time 0.208 (0.211) Data 0.055 (0.047) Loss 2.2815 (2.2925) Prec@1 47.656 (47.566) Prec@5 71.875 (72.879)
Epoch: [70][3600/5005] Time 0.214 (0.211) Data 0.045 (0.047) Loss 2.3743 (2.2924) Prec@1 50.000 (47.570) Prec@5 68.750 (72.879)
Epoch: [70][3610/5005] Time 0.214 (0.211) Data 0.046 (0.047) Loss 2.1921 (2.2924) Prec@1 53.906 (47.574) Prec@5 72.266 (72.876)
Epoch: [70][3620/5005] Time 0.213 (0.211) Data 0.044 (0.047) Loss 2.4087 (2.2923) Prec@1 43.750 (47.581) Prec@5 70.312 (72.879)
Epoch: [70][3630/5005] Time 0.206 (0.211) Data 0.043 (0.047) Loss 2.4724 (2.2920) Prec@1 46.094 (47.587) Prec@5 67.188 (72.881)
Epoch: [70][3640/5005] Time 0.199 (0.211) Data 0.050 (0.047) Loss 2.3282 (2.2920) Prec@1 44.531 (47.586) Prec@5 69.922 (72.881)
Epoch: [70][3650/5005] Time 0.200 (0.211) Data 0.058 (0.047) Loss 2.2252 (2.2920) Prec@1 50.391 (47.585) Prec@5 72.266 (72.881)
Epoch: [70][3660/5005] Time 0.206 (0.211) Data 0.047 (0.047) Loss 2.3922 (2.2917) Prec@1 47.656 (47.592) Prec@5 72.656 (72.886)
Epoch: [70][3670/5005] Time 0.202 (0.211) Data 0.049 (0.047) Loss 2.5175 (2.2919) Prec@1 44.141 (47.590) Prec@5 65.625 (72.881)
Epoch: [70][3680/5005] Time 0.209 (0.211) Data 0.046 (0.047) Loss 2.2659 (2.2919) Prec@1 47.266 (47.590) Prec@5 70.312 (72.880)
Epoch: [70][3690/5005] Time 0.202 (0.211) Data 0.044 (0.047) Loss 2.0659 (2.2918) Prec@1 50.391 (47.590) Prec@5 77.734 (72.881)
Epoch: [70][3700/5005] Time 0.213 (0.211) Data 0.046 (0.047) Loss 2.3945 (2.2920) Prec@1 47.656 (47.590) Prec@5 68.750 (72.879)
Epoch: [70][3710/5005] Time 0.208 (0.211) Data 0.041 (0.047) Loss 2.2263 (2.2921) Prec@1 50.781 (47.590) Prec@5 74.219 (72.880)
Epoch: [70][3720/5005] Time 0.205 (0.211) Data 0.047 (0.047) Loss 2.4410 (2.2919) Prec@1 48.438 (47.592) Prec@5 70.703 (72.880)
Epoch: [70][3730/5005] Time 0.208 (0.211) Data 0.043 (0.047) Loss 2.1200 (2.2917) Prec@1 53.516 (47.597) Prec@5 75.391 (72.881)
Epoch: [70][3740/5005] Time 0.216 (0.211) Data 0.041 (0.047) Loss 2.1430 (2.2915) Prec@1 49.609 (47.601) Prec@5 75.391 (72.885)
Epoch: [70][3750/5005] Time 0.215 (0.211) Data 0.048 (0.047) Loss 2.0173 (2.2916) Prec@1 52.734 (47.598) Prec@5 78.516 (72.882)
Epoch: [70][3760/5005] Time 0.211 (0.211) Data 0.045 (0.047) Loss 2.3931 (2.2917) Prec@1 44.531 (47.598) Prec@5 67.188 (72.882)
Epoch: [70][3770/5005] Time 0.201 (0.211) Data 0.047 (0.047) Loss 2.2620 (2.2915) Prec@1 48.828 (47.600) Prec@5 74.609 (72.886)
Epoch: [70][3780/5005] Time 0.197 (0.211) Data 0.054 (0.047) Loss 2.1908 (2.2915) Prec@1 48.828 (47.602) Prec@5 75.391 (72.884)
Epoch: [70][3790/5005] Time 0.210 (0.211) Data 0.042 (0.047) Loss 2.4573 (2.2915) Prec@1 44.922 (47.603) Prec@5 71.875 (72.886)
Epoch: [70][3800/5005] Time 0.207 (0.211) Data 0.050 (0.047) Loss 2.3322 (2.2917) Prec@1 45.312 (47.601) Prec@5 72.266 (72.883)
Epoch: [70][3810/5005] Time 0.201 (0.211) Data 0.041 (0.047) Loss 2.3344 (2.2918) Prec@1 47.656 (47.597) Prec@5 72.266 (72.882)
Epoch: [70][3820/5005] Time 0.214 (0.211) Data 0.046 (0.047) Loss 2.2355 (2.2917) Prec@1 48.438 (47.598) Prec@5 75.391 (72.883)
Epoch: [70][3830/5005] Time 0.216 (0.211) Data 0.044 (0.047) Loss 2.2226 (2.2915) Prec@1 45.312 (47.600) Prec@5 75.000 (72.886)
Epoch: [70][3840/5005] Time 0.212 (0.211) Data 0.046 (0.047) Loss 2.5128 (2.2916) Prec@1 42.188 (47.598) Prec@5 67.578 (72.883)
Epoch: [70][3850/5005] Time 0.208 (0.211) Data 0.060 (0.047) Loss 2.2935 (2.2914) Prec@1 46.875 (47.600) Prec@5 71.484 (72.886)
Epoch: [70][3860/5005] Time 0.211 (0.211) Data 0.044 (0.047) Loss 2.0173 (2.2913) Prec@1 55.469 (47.601) Prec@5 77.344 (72.887)
Epoch: [70][3870/5005] Time 0.210 (0.211) Data 0.045 (0.047) Loss 2.3305 (2.2914) Prec@1 46.094 (47.596) Prec@5 72.656 (72.885)
Epoch: [70][3880/5005] Time 0.190 (0.211) Data 0.061 (0.047) Loss 2.2674 (2.2915) Prec@1 51.172 (47.595) Prec@5 74.219 (72.885)
Epoch: [70][3890/5005] Time 0.194 (0.211) Data 0.050 (0.047) Loss 2.5126 (2.2915) Prec@1 46.875 (47.595) Prec@5 67.969 (72.884)
Epoch: [70][3900/5005] Time 0.213 (0.211) Data 0.046 (0.047) Loss 2.5573 (2.2916) Prec@1 41.797 (47.591) Prec@5 70.312 (72.882)
Epoch: [70][3910/5005] Time 0.202 (0.211) Data 0.043 (0.047) Loss 2.3292 (2.2916) Prec@1 42.969 (47.591) Prec@5 77.344 (72.884)
Epoch: [70][3920/5005] Time 0.205 (0.210) Data 0.043 (0.047) Loss 2.2396 (2.2916) Prec@1 48.828 (47.592) Prec@5 74.609 (72.882)
Epoch: [70][3930/5005] Time 0.215 (0.210) Data 0.040 (0.047) Loss 2.2122 (2.2914) Prec@1 45.703 (47.592) Prec@5 72.266 (72.882)
Epoch: [70][3940/5005] Time 0.203 (0.210) Data 0.054 (0.047) Loss 2.2122 (2.2914) Prec@1 49.219 (47.591) Prec@5 73.047 (72.882)
Epoch: [70][3950/5005] Time 0.211 (0.210) Data 0.051 (0.047) Loss 2.0595 (2.2912) Prec@1 54.688 (47.595) Prec@5 76.172 (72.885)
Epoch: [70][3960/5005] Time 0.213 (0.210) Data 0.046 (0.047) Loss 2.3132 (2.2912) Prec@1 48.047 (47.595) Prec@5 73.828 (72.884)
Epoch: [70][3970/5005] Time 0.204 (0.210) Data 0.042 (0.047) Loss 2.2744 (2.2912) Prec@1 45.703 (47.593) Prec@5 73.828 (72.883)
Epoch: [70][3980/5005] Time 0.207 (0.210) Data 0.046 (0.047) Loss 2.2411 (2.2911) Prec@1 48.438 (47.595) Prec@5 73.047 (72.884)
Epoch: [70][3990/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.4086 (2.2911) Prec@1 46.875 (47.593) Prec@5 69.531 (72.883)
Epoch: [70][4000/5005] Time 0.206 (0.210) Data 0.044 (0.047) Loss 2.2782 (2.2911) Prec@1 45.703 (47.594) Prec@5 72.656 (72.881)
Epoch: [70][4010/5005] Time 0.205 (0.210) Data 0.057 (0.047) Loss 2.3846 (2.2909) Prec@1 46.875 (47.597) Prec@5 71.094 (72.883)
Epoch: [70][4020/5005] Time 0.209 (0.210) Data 0.044 (0.047) Loss 2.3997 (2.2909) Prec@1 45.703 (47.598) Prec@5 73.438 (72.883)
Epoch: [70][4030/5005] Time 0.204 (0.210) Data 0.048 (0.047) Loss 2.4475 (2.2911) Prec@1 41.016 (47.595) Prec@5 72.266 (72.881)
Epoch: [70][4040/5005] Time 0.213 (0.210) Data 0.046 (0.047) Loss 2.3527 (2.2912) Prec@1 45.703 (47.593) Prec@5 69.922 (72.878)
Epoch: [70][4050/5005] Time 0.214 (0.210) Data 0.044 (0.047) Loss 2.5912 (2.2913) Prec@1 41.797 (47.594) Prec@5 68.750 (72.878)
Epoch: [70][4060/5005] Time 0.198 (0.210) Data 0.046 (0.047) Loss 2.3606 (2.2912) Prec@1 43.359 (47.593) Prec@5 69.141 (72.877)
Epoch: [70][4070/5005] Time 0.213 (0.210) Data 0.041 (0.047) Loss 2.4727 (2.2912) Prec@1 44.531 (47.593) Prec@5 70.703 (72.879)
Epoch: [70][4080/5005] Time 0.207 (0.210) Data 0.058 (0.047) Loss 2.2422 (2.2911) Prec@1 47.266 (47.593) Prec@5 73.047 (72.880)
Epoch: [70][4090/5005] Time 0.208 (0.210) Data 0.045 (0.047) Loss 2.3982 (2.2911) Prec@1 46.094 (47.590) Prec@5 72.266 (72.881)
Epoch: [70][4100/5005] Time 0.202 (0.210) Data 0.052 (0.047) Loss 2.2868 (2.2910) Prec@1 48.438 (47.593) Prec@5 73.438 (72.880)
Epoch: [70][4110/5005] Time 0.204 (0.210) Data 0.049 (0.047) Loss 2.4659 (2.2909) Prec@1 46.094 (47.592) Prec@5 70.312 (72.882)
Epoch: [70][4120/5005] Time 0.204 (0.210) Data 0.049 (0.047) Loss 2.2693 (2.2908) Prec@1 46.094 (47.594) Prec@5 74.219 (72.884)
Epoch: [70][4130/5005] Time 0.208 (0.210) Data 0.046 (0.047) Loss 2.6242 (2.2908) Prec@1 40.234 (47.594) Prec@5 70.312 (72.886)
Epoch: [70][4140/5005] Time 0.202 (0.210) Data 0.049 (0.047) Loss 2.2999 (2.2908) Prec@1 47.266 (47.596) Prec@5 71.094 (72.884)
Epoch: [70][4150/5005] Time 0.209 (0.210) Data 0.047 (0.047) Loss 2.5450 (2.2908) Prec@1 41.797 (47.597) Prec@5 69.141 (72.885)
Epoch: [70][4160/5005] Time 0.197 (0.210) Data 0.048 (0.047) Loss 2.0976 (2.2909) Prec@1 50.000 (47.597) Prec@5 76.953 (72.884)
Epoch: [70][4170/5005] Time 0.209 (0.210) Data 0.048 (0.047) Loss 2.2699 (2.2909) Prec@1 45.703 (47.597) Prec@5 71.484 (72.882)
Epoch: [70][4180/5005] Time 0.207 (0.210) Data 0.063 (0.047) Loss 2.2251 (2.2908) Prec@1 52.344 (47.599) Prec@5 71.094 (72.883)
Epoch: [70][4190/5005] Time 0.213 (0.210) Data 0.051 (0.047) Loss 2.2014 (2.2908) Prec@1 47.656 (47.599) Prec@5 72.656 (72.882)
Epoch: [70][4200/5005] Time 0.210 (0.210) Data 0.046 (0.047) Loss 2.1255 (2.2908) Prec@1 48.047 (47.600) Prec@5 75.000 (72.883)
Epoch: [70][4210/5005] Time 0.211 (0.210) Data 0.050 (0.047) Loss 2.0694 (2.2907) Prec@1 48.438 (47.603) Prec@5 78.125 (72.884)
Epoch: [70][4220/5005] Time 0.213 (0.210) Data 0.042 (0.047) Loss 2.4421 (2.2909) Prec@1 47.656 (47.603) Prec@5 70.312 (72.881)
Epoch: [70][4230/5005] Time 0.202 (0.210) Data 0.046 (0.047) Loss 2.3587 (2.2908) Prec@1 45.312 (47.602) Prec@5 73.047 (72.883)
Epoch: [70][4240/5005] Time 0.201 (0.210) Data 0.046 (0.047) Loss 2.1427 (2.2908) Prec@1 48.047 (47.600) Prec@5 76.172 (72.884)
Epoch: [70][4250/5005] Time 0.200 (0.210) Data 0.045 (0.047) Loss 2.2992 (2.2907) Prec@1 53.516 (47.605) Prec@5 72.656 (72.886)
Epoch: [70][4260/5005] Time 0.203 (0.210) Data 0.048 (0.047) Loss 2.2885 (2.2907) Prec@1 47.656 (47.605) Prec@5 71.484 (72.886)
Epoch: [70][4270/5005] Time 0.207 (0.210) Data 0.058 (0.047) Loss 2.4032 (2.2908) Prec@1 51.172 (47.606) Prec@5 73.438 (72.885)
Epoch: [70][4280/5005] Time 0.209 (0.210) Data 0.043 (0.047) Loss 2.4467 (2.2908) Prec@1 46.484 (47.606) Prec@5 72.266 (72.884)
Epoch: [70][4290/5005] Time 0.204 (0.210) Data 0.042 (0.047) Loss 2.3538 (2.2908) Prec@1 48.047 (47.605) Prec@5 71.875 (72.883)
Epoch: [70][4300/5005] Time 0.204 (0.210) Data 0.050 (0.047) Loss 2.0072 (2.2906) Prec@1 51.953 (47.609) Prec@5 78.516 (72.884)
Epoch: [70][4310/5005] Time 0.194 (0.210) Data 0.043 (0.047) Loss 2.1929 (2.2906) Prec@1 47.656 (47.609) Prec@5 76.172 (72.886)
Epoch: [70][4320/5005] Time 0.210 (0.210) Data 0.047 (0.047) Loss 2.2689 (2.2907) Prec@1 52.734 (47.610) Prec@5 72.656 (72.884)
Epoch: [70][4330/5005] Time 0.203 (0.210) Data 0.051 (0.047) Loss 2.2297 (2.2908) Prec@1 48.438 (47.608) Prec@5 75.781 (72.881)
Epoch: [70][4340/5005] Time 0.210 (0.210) Data 0.049 (0.048) Loss 2.3679 (2.2910) Prec@1 44.141 (47.603) Prec@5 68.359 (72.879)
Epoch: [70][4350/5005] Time 0.218 (0.210) Data 0.047 (0.048) Loss 2.4141 (2.2910) Prec@1 46.484 (47.603) Prec@5 70.312 (72.880)
Epoch: [70][4360/5005] Time 0.212 (0.210) Data 0.050 (0.048) Loss 2.1477 (2.2908) Prec@1 46.094 (47.603) Prec@5 74.609 (72.883)
Epoch: [70][4370/5005] Time 0.220 (0.210) Data 0.042 (0.048) Loss 2.1901 (2.2908) Prec@1 48.438 (47.605) Prec@5 75.000 (72.883)
Epoch: [70][4380/5005] Time 0.217 (0.210) Data 0.043 (0.048) Loss 2.3242 (2.2907) Prec@1 47.266 (47.608) Prec@5 72.266 (72.884)
Epoch: [70][4390/5005] Time 0.211 (0.210) Data 0.043 (0.047) Loss 2.4002 (2.2907) Prec@1 45.312 (47.610) Prec@5 71.875 (72.885)
Epoch: [70][4400/5005] Time 0.199 (0.210) Data 0.046 (0.047) Loss 2.2160 (2.2906) Prec@1 47.266 (47.610) Prec@5 76.172 (72.887)
Epoch: [70][4410/5005] Time 0.208 (0.210) Data 0.046 (0.047) Loss 2.2391 (2.2905) Prec@1 50.391 (47.609) Prec@5 73.438 (72.887)
Epoch: [70][4420/5005] Time 0.209 (0.210) Data 0.048 (0.047) Loss 1.9735 (2.2904) Prec@1 55.469 (47.612) Prec@5 75.781 (72.888)
Epoch: [70][4430/5005] Time 0.216 (0.210) Data 0.043 (0.047) Loss 2.3027 (2.2902) Prec@1 48.828 (47.620) Prec@5 69.922 (72.891)
Epoch: [70][4440/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.4497 (2.2901) Prec@1 40.625 (47.621) Prec@5 70.703 (72.893)
Epoch: [70][4450/5005] Time 0.205 (0.210) Data 0.041 (0.047) Loss 2.1525 (2.2900) Prec@1 50.000 (47.621) Prec@5 74.609 (72.894)
Epoch: [70][4460/5005] Time 0.206 (0.210) Data 0.042 (0.047) Loss 2.3984 (2.2900) Prec@1 48.828 (47.625) Prec@5 70.312 (72.895)
Epoch: [70][4470/5005] Time 0.204 (0.210) Data 0.049 (0.047) Loss 2.0895 (2.2899) Prec@1 51.172 (47.627) Prec@5 76.172 (72.896)
Epoch: [70][4480/5005] Time 0.211 (0.210) Data 0.045 (0.047) Loss 2.1532 (2.2900) Prec@1 46.094 (47.626) Prec@5 75.391 (72.896)
Epoch: [70][4490/5005] Time 0.188 (0.210) Data 0.048 (0.047) Loss 2.3204 (2.2901) Prec@1 45.312 (47.624) Prec@5 74.219 (72.895)
Epoch: [70][4500/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.2090 (2.2900) Prec@1 50.000 (47.627) Prec@5 73.828 (72.898)
Epoch: [70][4510/5005] Time 0.201 (0.210) Data 0.048 (0.047) Loss 2.1391 (2.2900) Prec@1 48.438 (47.624) Prec@5 75.000 (72.898)
Epoch: [70][4520/5005] Time 0.201 (0.210) Data 0.049 (0.047) Loss 2.2593 (2.2899) Prec@1 50.781 (47.625) Prec@5 74.609 (72.901)
Epoch: [70][4530/5005] Time 0.208 (0.210) Data 0.046 (0.048) Loss 2.1917 (2.2897) Prec@1 49.609 (47.629) Prec@5 76.953 (72.904)
Epoch: [70][4540/5005] Time 0.205 (0.210) Data 0.042 (0.048) Loss 2.4482 (2.2899) Prec@1 42.969 (47.624) Prec@5 74.609 (72.903)
Epoch: [70][4550/5005] Time 0.215 (0.210) Data 0.041 (0.048) Loss 2.2821 (2.2899) Prec@1 45.703 (47.623) Prec@5 74.609 (72.902)
Epoch: [70][4560/5005] Time 0.201 (0.210) Data 0.044 (0.047) Loss 2.2718 (2.2898) Prec@1 47.656 (47.625) Prec@5 73.047 (72.902)
Epoch: [70][4570/5005] Time 0.212 (0.210) Data 0.044 (0.047) Loss 2.3563 (2.2897) Prec@1 48.047 (47.627) Prec@5 69.922 (72.903)
Epoch: [70][4580/5005] Time 0.215 (0.210) Data 0.058 (0.047) Loss 2.4280 (2.2897) Prec@1 45.703 (47.630) Prec@5 67.969 (72.904)
Epoch: [70][4590/5005] Time 0.205 (0.210) Data 0.060 (0.047) Loss 2.0881 (2.2898) Prec@1 49.609 (47.629) Prec@5 75.000 (72.902)
Epoch: [70][4600/5005] Time 0.213 (0.210) Data 0.045 (0.048) Loss 2.0420 (2.2898) Prec@1 54.297 (47.629) Prec@5 75.781 (72.901)
Epoch: [70][4610/5005] Time 0.200 (0.210) Data 0.048 (0.048) Loss 2.1970 (2.2898) Prec@1 46.875 (47.631) Prec@5 76.172 (72.901)
Epoch: [70][4620/5005] Time 0.211 (0.210) Data 0.047 (0.048) Loss 2.1942 (2.2897) Prec@1 47.266 (47.630) Prec@5 75.000 (72.902)
Epoch: [70][4630/5005] Time 0.206 (0.210) Data 0.038 (0.048) Loss 2.1353 (2.2895) Prec@1 50.781 (47.634) Prec@5 75.000 (72.906)
Epoch: [70][4640/5005] Time 0.213 (0.210) Data 0.044 (0.048) Loss 2.2557 (2.2895) Prec@1 48.828 (47.634) Prec@5 75.000 (72.907)
Epoch: [70][4650/5005] Time 0.215 (0.210) Data 0.048 (0.048) Loss 2.2377 (2.2895) Prec@1 51.172 (47.636) Prec@5 74.609 (72.908)
Epoch: [70][4660/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.5070 (2.2894) Prec@1 40.625 (47.637) Prec@5 67.188 (72.908)
Epoch: [70][4670/5005] Time 0.208 (0.210) Data 0.042 (0.048) Loss 2.1573 (2.2893) Prec@1 51.172 (47.639) Prec@5 72.656 (72.909)
Epoch: [70][4680/5005] Time 0.205 (0.210) Data 0.040 (0.048) Loss 2.2990 (2.2893) Prec@1 43.750 (47.638) Prec@5 74.609 (72.909)
Epoch: [70][4690/5005] Time 0.211 (0.210) Data 0.046 (0.048) Loss 2.3490 (2.2893) Prec@1 45.703 (47.636) Prec@5 71.094 (72.907)
Epoch: [70][4700/5005] Time 0.211 (0.210) Data 0.042 (0.048) Loss 2.3336 (2.2894) Prec@1 48.438 (47.637) Prec@5 74.219 (72.906)
Epoch: [70][4710/5005] Time 0.216 (0.210) Data 0.044 (0.048) Loss 2.0999 (2.2892) Prec@1 53.906 (47.639) Prec@5 75.781 (72.909)
Epoch: [70][4720/5005] Time 0.215 (0.210) Data 0.044 (0.047) Loss 2.1731 (2.2892) Prec@1 51.562 (47.640) Prec@5 78.516 (72.912)
Epoch: [70][4730/5005] Time 0.216 (0.210) Data 0.046 (0.048) Loss 2.3267 (2.2893) Prec@1 46.875 (47.637) Prec@5 75.000 (72.912)
Epoch: [70][4740/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.2675 (2.2892) Prec@1 46.094 (47.637) Prec@5 71.094 (72.912)
Epoch: [70][4750/5005] Time 0.199 (0.210) Data 0.045 (0.048) Loss 2.1910 (2.2892) Prec@1 48.438 (47.638) Prec@5 73.438 (72.913)
Epoch: [70][4760/5005] Time 0.204 (0.210) Data 0.045 (0.048) Loss 2.4673 (2.2890) Prec@1 41.406 (47.641) Prec@5 70.703 (72.914)
Epoch: [70][4770/5005] Time 0.196 (0.210) Data 0.048 (0.048) Loss 2.2679 (2.2890) Prec@1 46.484 (47.642) Prec@5 73.828 (72.916)
Epoch: [70][4780/5005] Time 0.205 (0.210) Data 0.048 (0.048) Loss 2.3789 (2.2890) Prec@1 47.656 (47.641) Prec@5 72.656 (72.914)
Epoch: [70][4790/5005] Time 0.216 (0.210) Data 0.043 (0.048) Loss 2.6208 (2.2891) Prec@1 42.578 (47.641) Prec@5 67.188 (72.913)
Epoch: [70][4800/5005] Time 0.205 (0.210) Data 0.058 (0.048) Loss 2.4644 (2.2891) Prec@1 41.016 (47.640) Prec@5 67.969 (72.912)
Epoch: [70][4810/5005] Time 0.205 (0.210) Data 0.062 (0.048) Loss 2.3199 (2.2890) Prec@1 48.828 (47.640) Prec@5 72.266 (72.912)
Epoch: [70][4820/5005] Time 0.205 (0.210) Data 0.043 (0.048) Loss 2.3849 (2.2889) Prec@1 47.266 (47.644) Prec@5 70.703 (72.914)
Epoch: [70][4830/5005] Time 0.214 (0.210) Data 0.044 (0.048) Loss 2.3309 (2.2888) Prec@1 46.875 (47.645) Prec@5 69.922 (72.913)
Epoch: [70][4840/5005] Time 0.202 (0.210) Data 0.041 (0.048) Loss 2.0772 (2.2889) Prec@1 52.344 (47.644) Prec@5 76.953 (72.913)
Epoch: [70][4850/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.3169 (2.2890) Prec@1 48.438 (47.642) Prec@5 71.875 (72.910)
Epoch: [70][4860/5005] Time 0.214 (0.210) Data 0.043 (0.048) Loss 2.3959 (2.2890) Prec@1 43.750 (47.643) Prec@5 68.750 (72.909)
Epoch: [70][4870/5005] Time 0.208 (0.210) Data 0.043 (0.048) Loss 2.2274 (2.2891) Prec@1 49.609 (47.642) Prec@5 72.266 (72.908)
Epoch: [70][4880/5005] Time 0.203 (0.210) Data 0.048 (0.047) Loss 2.1542 (2.2890) Prec@1 50.391 (47.643) Prec@5 72.266 (72.908)
Epoch: [70][4890/5005] Time 0.207 (0.210) Data 0.042 (0.047) Loss 2.3226 (2.2889) Prec@1 46.875 (47.643) Prec@5 71.875 (72.909)
Epoch: [70][4900/5005] Time 0.193 (0.210) Data 0.051 (0.047) Loss 2.2391 (2.2889) Prec@1 47.266 (47.642) Prec@5 73.047 (72.910)
Epoch: [70][4910/5005] Time 0.195 (0.210) Data 0.061 (0.048) Loss 2.1735 (2.2887) Prec@1 47.266 (47.646) Prec@5 75.781 (72.914)
Epoch: [70][4920/5005] Time 0.204 (0.210) Data 0.049 (0.048) Loss 2.0999 (2.2886) Prec@1 49.609 (47.646) Prec@5 75.391 (72.916)
Epoch: [70][4930/5005] Time 0.201 (0.210) Data 0.047 (0.048) Loss 2.4045 (2.2885) Prec@1 43.359 (47.648) Prec@5 69.531 (72.917)
Epoch: [70][4940/5005] Time 0.202 (0.210) Data 0.060 (0.048) Loss 2.3548 (2.2886) Prec@1 49.219 (47.650) Prec@5 73.047 (72.915)
Epoch: [70][4950/5005] Time 0.214 (0.210) Data 0.043 (0.048) Loss 2.1084 (2.2886) Prec@1 48.438 (47.647) Prec@5 76.562 (72.913)
Epoch: [70][4960/5005] Time 0.199 (0.210) Data 0.045 (0.048) Loss 2.4525 (2.2887) Prec@1 44.531 (47.646) Prec@5 73.047 (72.909)
Epoch: [70][4970/5005] Time 0.205 (0.210) Data 0.054 (0.048) Loss 2.3975 (2.2886) Prec@1 41.016 (47.646) Prec@5 72.266 (72.912)
Epoch: [70][4980/5005] Time 0.206 (0.210) Data 0.046 (0.048) Loss 2.3392 (2.2885) Prec@1 50.000 (47.648) Prec@5 73.438 (72.915)
Epoch: [70][4990/5005] Time 0.204 (0.210) Data 0.023 (0.048) Loss 2.3066 (2.2885) Prec@1 46.484 (47.649) Prec@5 70.312 (72.916)
Epoch: [70][5000/5005] Time 0.206 (0.210) Data 0.020 (0.047) Loss 2.4255 (2.2885) Prec@1 44.141 (47.647) Prec@5 71.094 (72.915)
Test: [0/196] Time 1.833 (1.833) Loss 2.4314 (2.4314) Prec@1 48.047 (48.047) Prec@5 70.312 (70.312)
Test: [10/196] Time 0.280 (0.311) Loss 2.4717 (2.5681) Prec@1 45.312 (44.034) Prec@5 71.875 (69.673)
Test: [20/196] Time 0.044 (0.224) Loss 2.4769 (2.5774) Prec@1 45.312 (43.843) Prec@5 69.922 (69.234)
Test: [30/196] Time 0.376 (0.206) Loss 2.4468 (2.5756) Prec@1 43.750 (43.611) Prec@5 71.094 (69.128)
Test: [40/196] Time 0.721 (0.216) Loss 2.3278 (2.5672) Prec@1 51.562 (43.817) Prec@5 73.828 (69.312)
Test: [50/196] Time 0.044 (0.204) Loss 2.6383 (2.5723) Prec@1 48.438 (43.857) Prec@5 70.703 (69.455)
Test: [60/196] Time 0.056 (0.191) Loss 2.4672 (2.5568) Prec@1 49.219 (44.249) Prec@5 71.094 (69.621)
Test: [70/196] Time 0.087 (0.188) Loss 2.4855 (2.5508) Prec@1 48.828 (44.218) Prec@5 67.578 (69.597)
Test: [80/196] Time 0.472 (0.190) Loss 2.4432 (2.5560) Prec@1 48.828 (44.198) Prec@5 76.172 (69.551)
Test: [90/196] Time 0.895 (0.193) Loss 2.6790 (2.5575) Prec@1 46.094 (44.304) Prec@5 64.844 (69.527)
Test: [100/196] Time 0.041 (0.190) Loss 2.5832 (2.5559) Prec@1 46.484 (44.469) Prec@5 67.969 (69.520)
Test: [110/196] Time 0.044 (0.187) Loss 2.7494 (2.5575) Prec@1 42.578 (44.496) Prec@5 64.844 (69.486)
Test: [120/196] Time 0.043 (0.188) Loss 2.4071 (2.5551) Prec@1 46.875 (44.538) Prec@5 74.609 (69.547)
Test: [130/196] Time 0.044 (0.183) Loss 2.2552 (2.5521) Prec@1 50.000 (44.636) Prec@5 74.609 (69.582)
Test: [140/196] Time 0.634 (0.186) Loss 2.3937 (2.5549) Prec@1 48.828 (44.534) Prec@5 69.922 (69.504)
Test: [150/196] Time 0.093 (0.184) Loss 2.1645 (2.5541) Prec@1 51.562 (44.485) Prec@5 77.734 (69.511)
Test: [160/196] Time 0.045 (0.183) Loss 2.4930 (2.5530) Prec@1 49.609 (44.519) Prec@5 71.094 (69.539)
Test: [170/196] Time 0.042 (0.181) Loss 2.4012 (2.5545) Prec@1 50.391 (44.561) Prec@5 73.438 (69.499)
Test: [180/196] Time 0.136 (0.182) Loss 2.7453 (2.5576) Prec@1 40.625 (44.484) Prec@5 63.672 (69.404)
Test: [190/196] Time 0.245 (0.181) Loss 2.7701 (2.5614) Prec@1 42.188 (44.404) Prec@5 65.234 (69.294)
* Prec@1 44.402 Prec@5 69.320
Learning rate: 1e-05
Epoch: [71][0/5005] Time 1.232 (1.232) Data 1.123 (1.123) Loss 2.2679 (2.2679) Prec@1 49.609 (49.609) Prec@5 70.703 (70.703)
Epoch: [71][10/5005] Time 0.193 (0.304) Data 0.058 (0.147) Loss 2.2084 (2.2784) Prec@1 52.344 (47.727) Prec@5 72.656 (73.473)
Epoch: [71][20/5005] Time 0.201 (0.256) Data 0.049 (0.100) Loss 2.4593 (2.2972) Prec@1 44.531 (47.359) Prec@5 67.969 (72.842)
Epoch: [71][30/5005] Time 0.200 (0.238) Data 0.061 (0.083) Loss 2.3192 (2.2779) Prec@1 44.141 (47.896) Prec@5 73.047 (73.022)
Epoch: [71][40/5005] Time 0.192 (0.229) Data 0.049 (0.075) Loss 2.3096 (2.2831) Prec@1 46.094 (47.980) Prec@5 69.922 (73.018)
Epoch: [71][50/5005] Time 0.205 (0.224) Data 0.043 (0.070) Loss 2.0774 (2.2867) Prec@1 47.656 (47.687) Prec@5 79.297 (72.986)
Epoch: [71][60/5005] Time 0.201 (0.221) Data 0.057 (0.066) Loss 2.2303 (2.2834) Prec@1 45.312 (47.880) Prec@5 75.391 (72.957)
Epoch: [71][70/5005] Time 0.207 (0.218) Data 0.042 (0.064) Loss 2.2816 (2.2995) Prec@1 44.141 (47.502) Prec@5 75.391 (72.871)
Epoch: [71][80/5005] Time 0.201 (0.216) Data 0.041 (0.062) Loss 2.1007 (2.2926) Prec@1 50.391 (47.680) Prec@5 77.344 (73.037)
Epoch: [71][90/5005] Time 0.200 (0.214) Data 0.049 (0.060) Loss 2.3467 (2.2926) Prec@1 49.219 (47.678) Prec@5 73.438 (73.047)
Epoch: [71][100/5005] Time 0.191 (0.213) Data 0.044 (0.059) Loss 2.0833 (2.2959) Prec@1 51.172 (47.645) Prec@5 76.953 (72.950)
Epoch: [71][110/5005] Time 0.197 (0.212) Data 0.045 (0.058) Loss 2.3652 (2.2984) Prec@1 45.312 (47.677) Prec@5 71.094 (72.906)
Epoch: [71][120/5005] Time 0.205 (0.211) Data 0.046 (0.057) Loss 2.4379 (2.3035) Prec@1 43.359 (47.611) Prec@5 69.531 (72.821)
Epoch: [71][130/5005] Time 0.206 (0.210) Data 0.045 (0.056) Loss 2.5339 (2.3049) Prec@1 43.750 (47.555) Prec@5 68.359 (72.868)
Epoch: [71][140/5005] Time 0.189 (0.210) Data 0.045 (0.056) Loss 2.3318 (2.3020) Prec@1 46.875 (47.626) Prec@5 69.531 (72.889)
Epoch: [71][150/5005] Time 0.205 (0.209) Data 0.046 (0.055) Loss 2.4150 (2.3014) Prec@1 49.609 (47.664) Prec@5 66.797 (72.858)
Epoch: [71][160/5005] Time 0.204 (0.209) Data 0.046 (0.055) Loss 2.2023 (2.3031) Prec@1 48.438 (47.690) Prec@5 74.219 (72.836)
Epoch: [71][170/5005] Time 0.220 (0.209) Data 0.053 (0.054) Loss 2.4286 (2.3043) Prec@1 45.703 (47.647) Prec@5 72.656 (72.821)
Epoch: [71][180/5005] Time 0.209 (0.209) Data 0.046 (0.054) Loss 2.4656 (2.3044) Prec@1 47.266 (47.626) Prec@5 69.922 (72.805)
Epoch: [71][190/5005] Time 0.223 (0.210) Data 0.044 (0.053) Loss 2.4252 (2.3085) Prec@1 45.312 (47.472) Prec@5 72.266 (72.759)
Epoch: [71][200/5005] Time 0.214 (0.210) Data 0.046 (0.053) Loss 2.5479 (2.3094) Prec@1 41.406 (47.483) Prec@5 69.141 (72.757)
Epoch: [71][210/5005] Time 0.218 (0.211) Data 0.042 (0.053) Loss 2.0635 (2.3083) Prec@1 52.344 (47.508) Prec@5 77.344 (72.797)
Epoch: [71][220/5005] Time 0.223 (0.211) Data 0.067 (0.053) Loss 2.4028 (2.3085) Prec@1 49.219 (47.538) Prec@5 73.828 (72.753)
Epoch: [71][230/5005] Time 0.226 (0.212) Data 0.045 (0.053) Loss 2.2438 (2.3088) Prec@1 50.781 (47.553) Prec@5 75.391 (72.808)
Epoch: [71][240/5005] Time 0.208 (0.212) Data 0.067 (0.052) Loss 2.2408 (2.3082) Prec@1 47.656 (47.504) Prec@5 73.047 (72.805)
Epoch: [71][250/5005] Time 0.207 (0.212) Data 0.042 (0.052) Loss 2.3950 (2.3067) Prec@1 47.656 (47.543) Prec@5 70.312 (72.784)
Epoch: [71][260/5005] Time 0.215 (0.212) Data 0.044 (0.052) Loss 2.0606 (2.3065) Prec@1 50.781 (47.554) Prec@5 75.000 (72.780)
Epoch: [71][270/5005] Time 0.211 (0.212) Data 0.039 (0.051) Loss 2.2616 (2.3061) Prec@1 49.219 (47.557) Prec@5 76.562 (72.810)
Epoch: [71][280/5005] Time 0.223 (0.212) Data 0.048 (0.051) Loss 2.6052 (2.3075) Prec@1 46.875 (47.484) Prec@5 66.016 (72.749)
Epoch: [71][290/5005] Time 0.209 (0.212) Data 0.041 (0.051) Loss 2.1824 (2.3090) Prec@1 47.656 (47.466) Prec@5 74.609 (72.686)
Epoch: [71][300/5005] Time 0.211 (0.212) Data 0.041 (0.051) Loss 2.1855 (2.3090) Prec@1 50.391 (47.468) Prec@5 73.047 (72.691)
Epoch: [71][310/5005] Time 0.205 (0.212) Data 0.051 (0.051) Loss 2.1382 (2.3071) Prec@1 54.297 (47.514) Prec@5 77.344 (72.725)
Epoch: [71][320/5005] Time 0.210 (0.212) Data 0.056 (0.051) Loss 2.4220 (2.3074) Prec@1 45.312 (47.548) Prec@5 71.094 (72.712)
Epoch: [71][330/5005] Time 0.212 (0.212) Data 0.052 (0.051) Loss 2.0327 (2.3065) Prec@1 48.047 (47.528) Prec@5 76.172 (72.718)
Epoch: [71][340/5005] Time 0.212 (0.212) Data 0.052 (0.051) Loss 2.4736 (2.3097) Prec@1 42.578 (47.472) Prec@5 69.922 (72.654)
Epoch: [71][350/5005] Time 0.216 (0.212) Data 0.045 (0.051) Loss 2.5335 (2.3092) Prec@1 41.016 (47.480) Prec@5 67.969 (72.658)
Epoch: [71][360/5005] Time 0.213 (0.212) Data 0.057 (0.050) Loss 2.3993 (2.3101) Prec@1 46.094 (47.463) Prec@5 70.312 (72.621)
Epoch: [71][370/5005] Time 0.215 (0.212) Data 0.060 (0.050) Loss 2.3023 (2.3087) Prec@1 43.750 (47.453) Prec@5 72.266 (72.636)
Epoch: [71][380/5005] Time 0.212 (0.212) Data 0.058 (0.050) Loss 2.3708 (2.3093) Prec@1 46.484 (47.421) Prec@5 71.484 (72.610)
Epoch: [71][390/5005] Time 0.217 (0.212) Data 0.044 (0.050) Loss 2.3470 (2.3096) Prec@1 47.656 (47.426) Prec@5 73.047 (72.598)
Epoch: [71][400/5005] Time 0.207 (0.212) Data 0.057 (0.051) Loss 2.1620 (2.3089) Prec@1 48.438 (47.414) Prec@5 74.609 (72.617)
Epoch: [71][410/5005] Time 0.214 (0.212) Data 0.042 (0.050) Loss 2.2484 (2.3081) Prec@1 45.312 (47.441) Prec@5 75.391 (72.643)
Epoch: [71][420/5005] Time 0.213 (0.212) Data 0.044 (0.050) Loss 2.2135 (2.3076) Prec@1 48.828 (47.454) Prec@5 73.828 (72.653)
Epoch: [71][430/5005] Time 0.211 (0.212) Data 0.060 (0.050) Loss 2.1359 (2.3065) Prec@1 51.562 (47.449) Prec@5 73.828 (72.659)
Epoch: [71][440/5005] Time 0.213 (0.212) Data 0.042 (0.050) Loss 2.2766 (2.3055) Prec@1 45.703 (47.440) Prec@5 74.219 (72.687)
Epoch: [71][450/5005] Time 0.205 (0.212) Data 0.053 (0.050) Loss 2.2413 (2.3065) Prec@1 45.312 (47.424) Prec@5 73.828 (72.667)
Epoch: [71][460/5005] Time 0.212 (0.212) Data 0.048 (0.050) Loss 2.4558 (2.3076) Prec@1 43.750 (47.394) Prec@5 67.578 (72.644)
Epoch: [71][470/5005] Time 0.215 (0.212) Data 0.044 (0.050) Loss 2.2997 (2.3090) Prec@1 46.094 (47.385) Prec@5 73.828 (72.621)
Epoch: [71][480/5005] Time 0.209 (0.212) Data 0.039 (0.050) Loss 2.3275 (2.3090) Prec@1 46.875 (47.409) Prec@5 69.922 (72.607)
Epoch: [71][490/5005] Time 0.217 (0.212) Data 0.043 (0.050) Loss 2.1789 (2.3092) Prec@1 50.000 (47.379) Prec@5 74.219 (72.609)
Epoch: [71][500/5005] Time 0.205 (0.213) Data 0.043 (0.050) Loss 2.4286 (2.3106) Prec@1 45.312 (47.348) Prec@5 72.656 (72.588)
Epoch: [71][510/5005] Time 0.216 (0.213) Data 0.043 (0.050) Loss 2.5817 (2.3111) Prec@1 40.625 (47.344) Prec@5 67.578 (72.574)
Epoch: [71][520/5005] Time 0.211 (0.213) Data 0.044 (0.050) Loss 2.3511 (2.3107) Prec@1 44.531 (47.349) Prec@5 73.828 (72.570)
Epoch: [71][530/5005] Time 0.213 (0.213) Data 0.044 (0.049) Loss 2.2691 (2.3108) Prec@1 48.438 (47.335) Prec@5 73.438 (72.567)
Epoch: [71][540/5005] Time 0.212 (0.213) Data 0.044 (0.049) Loss 2.5038 (2.3115) Prec@1 42.188 (47.315) Prec@5 71.484 (72.558)
Epoch: [71][550/5005] Time 0.213 (0.213) Data 0.045 (0.049) Loss 2.2508 (2.3109) Prec@1 47.266 (47.312) Prec@5 76.172 (72.566)
Epoch: [71][560/5005] Time 0.213 (0.213) Data 0.042 (0.049) Loss 2.4854 (2.3109) Prec@1 43.750 (47.307) Prec@5 71.094 (72.580)
Epoch: [71][570/5005] Time 0.211 (0.213) Data 0.045 (0.049) Loss 2.3397 (2.3123) Prec@1 44.531 (47.285) Prec@5 71.484 (72.553)
Epoch: [71][580/5005] Time 0.213 (0.213) Data 0.044 (0.049) Loss 2.3433 (2.3116) Prec@1 49.219 (47.291) Prec@5 71.875 (72.553)
Epoch: [71][590/5005] Time 0.211 (0.213) Data 0.038 (0.049) Loss 2.4628 (2.3114) Prec@1 44.141 (47.307) Prec@5 71.094 (72.554)
Epoch: [71][600/5005] Time 0.207 (0.213) Data 0.043 (0.049) Loss 2.3012 (2.3125) Prec@1 47.656 (47.287) Prec@5 73.047 (72.543)
Epoch: [71][610/5005] Time 0.215 (0.213) Data 0.043 (0.049) Loss 2.2505 (2.3129) Prec@1 48.828 (47.282) Prec@5 73.828 (72.540)
Epoch: [71][620/5005] Time 0.220 (0.212) Data 0.057 (0.049) Loss 2.3972 (2.3129) Prec@1 50.781 (47.285) Prec@5 70.703 (72.548)
Epoch: [71][630/5005] Time 0.208 (0.212) Data 0.044 (0.049) Loss 2.4343 (2.3128) Prec@1 47.656 (47.300) Prec@5 71.484 (72.550)
Epoch: [71][640/5005] Time 0.200 (0.212) Data 0.042 (0.049) Loss 2.2527 (2.3130) Prec@1 46.875 (47.289) Prec@5 74.609 (72.544)
Epoch: [71][650/5005] Time 0.205 (0.212) Data 0.042 (0.049) Loss 2.4283 (2.3140) Prec@1 42.969 (47.276) Prec@5 69.922 (72.534)
Epoch: [71][660/5005] Time 0.204 (0.212) Data 0.044 (0.049) Loss 2.3773 (2.3137) Prec@1 48.828 (47.299) Prec@5 71.094 (72.544)
Epoch: [71][670/5005] Time 0.209 (0.212) Data 0.045 (0.049) Loss 2.5536 (2.3136) Prec@1 44.531 (47.308) Prec@5 68.359 (72.550)
Epoch: [71][680/5005] Time 0.211 (0.212) Data 0.045 (0.049) Loss 2.2230 (2.3133) Prec@1 49.219 (47.328) Prec@5 74.609 (72.554)
Epoch: [71][690/5005] Time 0.212 (0.212) Data 0.044 (0.049) Loss 2.2226 (2.3124) Prec@1 46.094 (47.361) Prec@5 75.781 (72.576)
Epoch: [71][700/5005] Time 0.211 (0.212) Data 0.060 (0.049) Loss 2.5239 (2.3124) Prec@1 46.094 (47.363) Prec@5 67.188 (72.579)
Epoch: [71][710/5005] Time 0.212 (0.212) Data 0.047 (0.049) Loss 2.0750 (2.3117) Prec@1 49.219 (47.367) Prec@5 75.391 (72.590)
Epoch: [71][720/5005] Time 0.219 (0.212) Data 0.044 (0.049) Loss 2.1799 (2.3108) Prec@1 48.047 (47.377) Prec@5 75.391 (72.605)
Epoch: [71][730/5005] Time 0.213 (0.212) Data 0.042 (0.049) Loss 2.4691 (2.3111) Prec@1 45.703 (47.381) Prec@5 71.484 (72.595)
Epoch: [71][740/5005] Time 0.215 (0.212) Data 0.049 (0.049) Loss 2.3713 (2.3112) Prec@1 47.266 (47.381) Prec@5 70.703 (72.596)
Epoch: [71][750/5005] Time 0.218 (0.212) Data 0.050 (0.049) Loss 2.1956 (2.3109) Prec@1 51.562 (47.395) Prec@5 74.609 (72.597)
Epoch: [71][760/5005] Time 0.210 (0.212) Data 0.061 (0.049) Loss 2.4786 (2.3113) Prec@1 41.406 (47.379) Prec@5 72.266 (72.594)
Epoch: [71][770/5005] Time 0.217 (0.212) Data 0.044 (0.049) Loss 2.3967 (2.3102) Prec@1 44.531 (47.397) Prec@5 69.922 (72.624)
Epoch: [71][780/5005] Time 0.212 (0.212) Data 0.046 (0.049) Loss 2.3001 (2.3102) Prec@1 48.047 (47.388) Prec@5 71.094 (72.624)
Epoch: [71][790/5005] Time 0.215 (0.212) Data 0.044 (0.049) Loss 2.3172 (2.3101) Prec@1 44.531 (47.399) Prec@5 69.141 (72.618)
Epoch: [71][800/5005] Time 0.210 (0.212) Data 0.048 (0.049) Loss 2.1052 (2.3098) Prec@1 51.562 (47.412) Prec@5 76.953 (72.620)
Epoch: [71][810/5005] Time 0.214 (0.212) Data 0.042 (0.049) Loss 2.4053 (2.3102) Prec@1 46.094 (47.418) Prec@5 71.875 (72.623)
Epoch: [71][820/5005] Time 0.207 (0.212) Data 0.059 (0.049) Loss 2.4049 (2.3103) Prec@1 46.875 (47.417) Prec@5 71.875 (72.619)
Epoch: [71][830/5005] Time 0.212 (0.212) Data 0.053 (0.049) Loss 2.2665 (2.3101) Prec@1 44.922 (47.416) Prec@5 73.047 (72.616)
Epoch: [71][840/5005] Time 0.210 (0.212) Data 0.044 (0.049) Loss 2.2771 (2.3106) Prec@1 46.094 (47.411) Prec@5 72.656 (72.614)
Epoch: [71][850/5005] Time 0.208 (0.212) Data 0.047 (0.049) Loss 2.5496 (2.3104) Prec@1 46.875 (47.424) Prec@5 71.094 (72.618)
Epoch: [71][860/5005] Time 0.204 (0.212) Data 0.044 (0.049) Loss 2.3452 (2.3107) Prec@1 47.266 (47.419) Prec@5 74.609 (72.612)
Epoch: [71][870/5005] Time 0.209 (0.212) Data 0.052 (0.049) Loss 2.2610 (2.3095) Prec@1 48.047 (47.435) Prec@5 73.438 (72.635)
Epoch: [71][880/5005] Time 0.214 (0.212) Data 0.043 (0.049) Loss 2.2776 (2.3100) Prec@1 45.312 (47.431) Prec@5 71.094 (72.624)
Epoch: [71][890/5005] Time 0.205 (0.212) Data 0.043 (0.049) Loss 2.7150 (2.3098) Prec@1 43.750 (47.427) Prec@5 66.797 (72.630)
Epoch: [71][900/5005] Time 0.216 (0.212) Data 0.043 (0.049) Loss 2.1795 (2.3094) Prec@1 48.438 (47.426) Prec@5 77.734 (72.643)
Epoch: [71][910/5005] Time 0.212 (0.212) Data 0.042 (0.049) Loss 2.3126 (2.3098) Prec@1 48.438 (47.424) Prec@5 70.703 (72.637)
Epoch: [71][920/5005] Time 0.208 (0.212) Data 0.041 (0.049) Loss 2.2922 (2.3089) Prec@1 48.438 (47.444) Prec@5 75.391 (72.657)
Epoch: [71][930/5005] Time 0.211 (0.212) Data 0.045 (0.049) Loss 2.3676 (2.3084) Prec@1 49.609 (47.464) Prec@5 69.922 (72.665)
Epoch: [71][940/5005] Time 0.217 (0.212) Data 0.048 (0.049) Loss 2.1450 (2.3089) Prec@1 48.047 (47.464) Prec@5 77.344 (72.653)
Epoch: [71][950/5005] Time 0.199 (0.212) Data 0.047 (0.049) Loss 2.3202 (2.3096) Prec@1 47.656 (47.461) Prec@5 74.609 (72.641)
Epoch: [71][960/5005] Time 0.205 (0.212) Data 0.053 (0.049) Loss 2.4914 (2.3098) Prec@1 43.750 (47.454) Prec@5 70.312 (72.635)
Epoch: [71][970/5005] Time 0.209 (0.212) Data 0.045 (0.049) Loss 2.1743 (2.3099) Prec@1 50.781 (47.455) Prec@5 74.609 (72.636)
Epoch: [71][980/5005] Time 0.204 (0.212) Data 0.043 (0.049) Loss 2.2079 (2.3095) Prec@1 47.656 (47.459) Prec@5 72.656 (72.639)
Epoch: [71][990/5005] Time 0.202 (0.212) Data 0.043 (0.049) Loss 2.4076 (2.3100) Prec@1 46.484 (47.441) Prec@5 70.703 (72.626)
Epoch: [71][1000/5005] Time 0.216 (0.212) Data 0.042 (0.049) Loss 2.2272 (2.3095) Prec@1 51.172 (47.441) Prec@5 76.953 (72.632)
Epoch: [71][1010/5005] Time 0.206 (0.212) Data 0.043 (0.049) Loss 2.4011 (2.3092) Prec@1 47.656 (47.445) Prec@5 74.219 (72.638)
Epoch: [71][1020/5005] Time 0.204 (0.212) Data 0.043 (0.048) Loss 2.1635 (2.3097) Prec@1 51.953 (47.433) Prec@5 76.172 (72.627)
Epoch: [71][1030/5005] Time 0.208 (0.212) Data 0.044 (0.048) Loss 2.1518 (2.3091) Prec@1 48.828 (47.435) Prec@5 75.391 (72.626)
Epoch: [71][1040/5005] Time 0.196 (0.213) Data 0.045 (0.048) Loss 2.4107 (2.3092) Prec@1 46.094 (47.433) Prec@5 72.266 (72.616)
Epoch: [71][1050/5005] Time 0.207 (0.213) Data 0.046 (0.048) Loss 2.4257 (2.3092) Prec@1 43.750 (47.419) Prec@5 71.094 (72.617)
Epoch: [71][1060/5005] Time 0.215 (0.213) Data 0.045 (0.048) Loss 2.3030 (2.3093) Prec@1 47.266 (47.421) Prec@5 72.656 (72.621)
Epoch: [71][1070/5005] Time 0.207 (0.213) Data 0.043 (0.048) Loss 2.4474 (2.3092) Prec@1 42.188 (47.409) Prec@5 69.922 (72.616)
Epoch: [71][1080/5005] Time 0.212 (0.213) Data 0.043 (0.048) Loss 2.4307 (2.3095) Prec@1 47.656 (47.408) Prec@5 71.484 (72.617)
Epoch: [71][1090/5005] Time 0.213 (0.213) Data 0.040 (0.048) Loss 2.1282 (2.3092) Prec@1 48.047 (47.409) Prec@5 75.000 (72.622)
Epoch: [71][1100/5005] Time 0.211 (0.213) Data 0.044 (0.048) Loss 2.2459 (2.3086) Prec@1 47.656 (47.416) Prec@5 74.219 (72.631)
Epoch: [71][1110/5005] Time 0.213 (0.213) Data 0.045 (0.048) Loss 2.3164 (2.3085) Prec@1 43.359 (47.420) Prec@5 72.656 (72.637)
Epoch: [71][1120/5005] Time 0.207 (0.213) Data 0.042 (0.048) Loss 2.2413 (2.3081) Prec@1 51.172 (47.423) Prec@5 74.219 (72.639)
Epoch: [71][1130/5005] Time 0.208 (0.213) Data 0.042 (0.048) Loss 2.4033 (2.3083) Prec@1 47.656 (47.417) Prec@5 73.828 (72.639)
Epoch: [71][1140/5005] Time 0.210 (0.213) Data 0.040 (0.048) Loss 2.2072 (2.3080) Prec@1 50.000 (47.425) Prec@5 76.172 (72.643)
Epoch: [71][1150/5005] Time 0.213 (0.213) Data 0.042 (0.048) Loss 2.4378 (2.3072) Prec@1 42.188 (47.428) Prec@5 67.188 (72.655)
Epoch: [71][1160/5005] Time 0.214 (0.213) Data 0.042 (0.048) Loss 2.3741 (2.3076) Prec@1 49.609 (47.424) Prec@5 70.703 (72.639)
Epoch: [71][1170/5005] Time 0.216 (0.213) Data 0.041 (0.048) Loss 2.0957 (2.3073) Prec@1 50.391 (47.433) Prec@5 77.734 (72.647)
Epoch: [71][1180/5005] Time 0.203 (0.213) Data 0.043 (0.048) Loss 2.2472 (2.3073) Prec@1 47.656 (47.427) Prec@5 73.438 (72.646)
Epoch: [71][1190/5005] Time 0.215 (0.213) Data 0.044 (0.048) Loss 2.1939 (2.3071) Prec@1 48.828 (47.432) Prec@5 75.000 (72.649)
Epoch: [71][1200/5005] Time 0.221 (0.213) Data 0.044 (0.048) Loss 2.3823 (2.3073) Prec@1 46.094 (47.431) Prec@5 71.094 (72.642)
Epoch: [71][1210/5005] Time 0.213 (0.213) Data 0.044 (0.048) Loss 2.2576 (2.3078) Prec@1 47.266 (47.429) Prec@5 72.656 (72.641)
Epoch: [71][1220/5005] Time 0.219 (0.213) Data 0.043 (0.048) Loss 2.2380 (2.3081) Prec@1 46.875 (47.423) Prec@5 74.219 (72.639)
Epoch: [71][1230/5005] Time 0.211 (0.213) Data 0.046 (0.048) Loss 2.3455 (2.3082) Prec@1 49.219 (47.415) Prec@5 71.484 (72.638)
Epoch: [71][1240/5005] Time 0.202 (0.213) Data 0.044 (0.048) Loss 2.3319 (2.3083) Prec@1 50.000 (47.420) Prec@5 69.922 (72.623)
Epoch: [71][1250/5005] Time 0.216 (0.213) Data 0.042 (0.048) Loss 2.5567 (2.3087) Prec@1 42.188 (47.418) Prec@5 69.141 (72.621)
Epoch: [71][1260/5005] Time 0.215 (0.213) Data 0.046 (0.048) Loss 2.0463 (2.3079) Prec@1 53.125 (47.429) Prec@5 75.781 (72.636)
Epoch: [71][1270/5005] Time 0.221 (0.213) Data 0.043 (0.048) Loss 2.3449 (2.3083) Prec@1 48.047 (47.427) Prec@5 70.703 (72.628)
Epoch: [71][1280/5005] Time 0.217 (0.213) Data 0.048 (0.048) Loss 2.2767 (2.3086) Prec@1 50.391 (47.419) Prec@5 70.703 (72.627)
Epoch: [71][1290/5005] Time 0.206 (0.213) Data 0.048 (0.048) Loss 2.1661 (2.3083) Prec@1 53.906 (47.429) Prec@5 73.438 (72.624)
Epoch: [71][1300/5005] Time 0.201 (0.212) Data 0.042 (0.048) Loss 2.2007 (2.3082) Prec@1 49.219 (47.432) Prec@5 73.828 (72.633)
Epoch: [71][1310/5005] Time 0.215 (0.212) Data 0.047 (0.048) Loss 2.2919 (2.3080) Prec@1 48.438 (47.432) Prec@5 73.047 (72.639)
Epoch: [71][1320/5005] Time 0.213 (0.212) Data 0.048 (0.048) Loss 2.3270 (2.3079) Prec@1 49.609 (47.443) Prec@5 71.484 (72.644)
Epoch: [71][1330/5005] Time 0.207 (0.212) Data 0.045 (0.048) Loss 2.4744 (2.3083) Prec@1 41.797 (47.429) Prec@5 69.922 (72.630)
Epoch: [71][1340/5005] Time 0.207 (0.212) Data 0.042 (0.048) Loss 2.1783 (2.3081) Prec@1 49.609 (47.430) Prec@5 75.391 (72.632)
Epoch: [71][1350/5005] Time 0.220 (0.212) Data 0.045 (0.048) Loss 2.7006 (2.3085) Prec@1 41.797 (47.417) Prec@5 66.406 (72.627)
Epoch: [71][1360/5005] Time 0.214 (0.212) Data 0.049 (0.048) Loss 2.1406 (2.3084) Prec@1 51.172 (47.417) Prec@5 73.047 (72.627)
Epoch: [71][1370/5005] Time 0.213 (0.212) Data 0.043 (0.047) Loss 2.2262 (2.3079) Prec@1 48.438 (47.425) Prec@5 75.781 (72.632)
Epoch: [71][1380/5005] Time 0.208 (0.212) Data 0.053 (0.047) Loss 2.2085 (2.3076) Prec@1 52.344 (47.429) Prec@5 74.609 (72.635)
Epoch: [71][1390/5005] Time 0.205 (0.212) Data 0.063 (0.047) Loss 2.1605 (2.3074) Prec@1 46.094 (47.428) Prec@5 75.781 (72.635)
Epoch: [71][1400/5005] Time 0.208 (0.212) Data 0.047 (0.048) Loss 2.2833 (2.3065) Prec@1 51.172 (47.439) Prec@5 71.484 (72.648)
Epoch: [71][1410/5005] Time 0.214 (0.212) Data 0.044 (0.048) Loss 2.2397 (2.3062) Prec@1 49.219 (47.446) Prec@5 73.828 (72.648)
Epoch: [71][1420/5005] Time 0.207 (0.212) Data 0.050 (0.048) Loss 2.5214 (2.3061) Prec@1 45.703 (47.441) Prec@5 69.922 (72.650)
Epoch: [71][1430/5005] Time 0.202 (0.212) Data 0.060 (0.048) Loss 2.0408 (2.3059) Prec@1 51.172 (47.451) Prec@5 78.125 (72.652)
Epoch: [71][1440/5005] Time 0.201 (0.212) Data 0.060 (0.048) Loss 2.0724 (2.3055) Prec@1 52.344 (47.454) Prec@5 80.469 (72.659)
Epoch: [71][1450/5005] Time 0.213 (0.212) Data 0.049 (0.048) Loss 2.3222 (2.3055) Prec@1 50.000 (47.460) Prec@5 73.828 (72.651)
Epoch: [71][1460/5005] Time 0.202 (0.212) Data 0.045 (0.048) Loss 2.3461 (2.3054) Prec@1 43.750 (47.463) Prec@5 71.484 (72.651)
Epoch: [71][1470/5005] Time 0.205 (0.212) Data 0.047 (0.048) Loss 2.3878 (2.3054) Prec@1 46.094 (47.467) Prec@5 72.656 (72.656)
Epoch: [71][1480/5005] Time 0.208 (0.212) Data 0.040 (0.048) Loss 2.2382 (2.3055) Prec@1 50.000 (47.459) Prec@5 76.172 (72.655)
Epoch: [71][1490/5005] Time 0.204 (0.212) Data 0.047 (0.048) Loss 2.5129 (2.3053) Prec@1 42.578 (47.462) Prec@5 67.188 (72.659)
Epoch: [71][1500/5005] Time 0.206 (0.212) Data 0.048 (0.048) Loss 2.3712 (2.3052) Prec@1 46.875 (47.466) Prec@5 68.750 (72.659)
Epoch: [71][1510/5005] Time 0.209 (0.212) Data 0.046 (0.048) Loss 2.2452 (2.3049) Prec@1 49.219 (47.472) Prec@5 70.703 (72.662)
Epoch: [71][1520/5005] Time 0.211 (0.212) Data 0.050 (0.048) Loss 2.3077 (2.3047) Prec@1 47.656 (47.470) Prec@5 74.219 (72.667)
Epoch: [71][1530/5005] Time 0.207 (0.212) Data 0.049 (0.048) Loss 2.5569 (2.3048) Prec@1 42.188 (47.471) Prec@5 69.141 (72.657)
Epoch: [71][1540/5005] Time 0.208 (0.212) Data 0.051 (0.048) Loss 2.3321 (2.3049) Prec@1 48.438 (47.467) Prec@5 70.312 (72.655)
Epoch: [71][1550/5005] Time 0.207 (0.212) Data 0.060 (0.048) Loss 2.2826 (2.3049) Prec@1 48.438 (47.473) Prec@5 76.562 (72.657)
Epoch: [71][1560/5005] Time 0.209 (0.212) Data 0.049 (0.048) Loss 2.0879 (2.3048) Prec@1 50.000 (47.475) Prec@5 73.828 (72.665)
Epoch: [71][1570/5005] Time 0.212 (0.212) Data 0.061 (0.048) Loss 2.1010 (2.3044) Prec@1 53.125 (47.487) Prec@5 73.828 (72.669)
Epoch: [71][1580/5005] Time 0.215 (0.212) Data 0.046 (0.048) Loss 2.1903 (2.3044) Prec@1 46.875 (47.488) Prec@5 73.438 (72.665)
Epoch: [71][1590/5005] Time 0.212 (0.212) Data 0.046 (0.048) Loss 2.2160 (2.3045) Prec@1 50.391 (47.485) Prec@5 73.047 (72.665)
Epoch: [71][1600/5005] Time 0.212 (0.212) Data 0.044 (0.048) Loss 2.3683 (2.3045) Prec@1 44.922 (47.490) Prec@5 74.219 (72.670)
Epoch: [71][1610/5005] Time 0.215 (0.212) Data 0.044 (0.048) Loss 2.3725 (2.3044) Prec@1 43.750 (47.493) Prec@5 71.875 (72.670)
Epoch: [71][1620/5005] Time 0.213 (0.212) Data 0.042 (0.048) Loss 2.3644 (2.3040) Prec@1 47.656 (47.492) Prec@5 71.484 (72.673)
Epoch: [71][1630/5005] Time 0.210 (0.212) Data 0.043 (0.048) Loss 2.1978 (2.3038) Prec@1 51.562 (47.498) Prec@5 73.438 (72.675)
Epoch: [71][1640/5005] Time 0.205 (0.212) Data 0.041 (0.048) Loss 2.4577 (2.3041) Prec@1 49.609 (47.504) Prec@5 70.703 (72.664)
Epoch: [71][1650/5005] Time 0.216 (0.212) Data 0.044 (0.048) Loss 2.3883 (2.3042) Prec@1 47.266 (47.505) Prec@5 69.531 (72.656)
Epoch: [71][1660/5005] Time 0.213 (0.212) Data 0.044 (0.048) Loss 2.2053 (2.3034) Prec@1 51.172 (47.521) Prec@5 72.266 (72.668)
Epoch: [71][1670/5005] Time 0.218 (0.212) Data 0.045 (0.048) Loss 2.1839 (2.3035) Prec@1 49.219 (47.521) Prec@5 75.000 (72.671)
Epoch: [71][1680/5005] Time 0.197 (0.212) Data 0.047 (0.048) Loss 2.4354 (2.3040) Prec@1 48.828 (47.512) Prec@5 70.312 (72.667)
Epoch: [71][1690/5005] Time 0.208 (0.212) Data 0.058 (0.048) Loss 2.3483 (2.3037) Prec@1 48.438 (47.512) Prec@5 69.141 (72.671)
Epoch: [71][1700/5005] Time 0.204 (0.212) Data 0.042 (0.048) Loss 2.2784 (2.3031) Prec@1 48.438 (47.526) Prec@5 72.656 (72.679)
Epoch: [71][1710/5005] Time 0.209 (0.212) Data 0.044 (0.048) Loss 2.1152 (2.3026) Prec@1 53.516 (47.530) Prec@5 76.562 (72.687)
Epoch: [71][1720/5005] Time 0.217 (0.212) Data 0.040 (0.048) Loss 2.2128 (2.3026) Prec@1 49.219 (47.528) Prec@5 75.391 (72.688)
Epoch: [71][1730/5005] Time 0.207 (0.212) Data 0.059 (0.048) Loss 2.2947 (2.3026) Prec@1 45.703 (47.528) Prec@5 74.219 (72.689)
Epoch: [71][1740/5005] Time 0.211 (0.212) Data 0.043 (0.048) Loss 2.4014 (2.3025) Prec@1 44.922 (47.529) Prec@5 67.969 (72.694)
Epoch: [71][1750/5005] Time 0.210 (0.212) Data 0.044 (0.048) Loss 2.4127 (2.3025) Prec@1 44.141 (47.529) Prec@5 68.359 (72.690)
Epoch: [71][1760/5005] Time 0.203 (0.212) Data 0.044 (0.048) Loss 2.1515 (2.3022) Prec@1 49.219 (47.534) Prec@5 79.297 (72.695)
Epoch: [71][1770/5005] Time 0.207 (0.212) Data 0.049 (0.048) Loss 2.1795 (2.3019) Prec@1 47.266 (47.538) Prec@5 75.000 (72.703)
Epoch: [71][1780/5005] Time 0.204 (0.212) Data 0.050 (0.048) Loss 2.2131 (2.3020) Prec@1 48.047 (47.531) Prec@5 74.219 (72.703)
Epoch: [71][1790/5005] Time 0.212 (0.212) Data 0.047 (0.048) Loss 2.2195 (2.3016) Prec@1 48.438 (47.535) Prec@5 72.656 (72.704)
Epoch: [71][1800/5005] Time 0.210 (0.212) Data 0.051 (0.048) Loss 2.1751 (2.3013) Prec@1 50.000 (47.536) Prec@5 77.344 (72.715)
Epoch: [71][1810/5005] Time 0.213 (0.212) Data 0.042 (0.048) Loss 2.1467 (2.3010) Prec@1 51.562 (47.539) Prec@5 73.047 (72.719)
Epoch: [71][1820/5005] Time 0.210 (0.212) Data 0.046 (0.048) Loss 2.2768 (2.3010) Prec@1 49.219 (47.536) Prec@5 75.000 (72.722)
Epoch: [71][1830/5005] Time 0.209 (0.212) Data 0.051 (0.048) Loss 2.0770 (2.3004) Prec@1 51.562 (47.543) Prec@5 80.859 (72.731)
Epoch: [71][1840/5005] Time 0.205 (0.211) Data 0.047 (0.048) Loss 2.3347 (2.3001) Prec@1 44.531 (47.546) Prec@5 71.094 (72.737)
Epoch: [71][1850/5005] Time 0.222 (0.211) Data 0.045 (0.048) Loss 2.3492 (2.3000) Prec@1 50.391 (47.549) Prec@5 73.047 (72.742)
Epoch: [71][1860/5005] Time 0.211 (0.211) Data 0.050 (0.048) Loss 2.2570 (2.3000) Prec@1 48.047 (47.546) Prec@5 74.609 (72.743)
Epoch: [71][1870/5005] Time 0.202 (0.211) Data 0.054 (0.048) Loss 2.4977 (2.3003) Prec@1 41.406 (47.540) Prec@5 72.656 (72.741)
Epoch: [71][1880/5005] Time 0.224 (0.211) Data 0.044 (0.048) Loss 2.3188 (2.3005) Prec@1 49.219 (47.542) Prec@5 71.875 (72.741)
Epoch: [71][1890/5005] Time 0.207 (0.211) Data 0.043 (0.048) Loss 2.4070 (2.3006) Prec@1 49.219 (47.539) Prec@5 73.438 (72.741)
Epoch: [71][1900/5005] Time 0.210 (0.211) Data 0.045 (0.048) Loss 2.2291 (2.3010) Prec@1 44.141 (47.526) Prec@5 75.781 (72.738)
Epoch: [71][1910/5005] Time 0.208 (0.211) Data 0.042 (0.048) Loss 2.1864 (2.3010) Prec@1 47.656 (47.520) Prec@5 72.266 (72.738)
Epoch: [71][1920/5005] Time 0.215 (0.211) Data 0.041 (0.048) Loss 2.0638 (2.3007) Prec@1 53.125 (47.519) Prec@5 78.125 (72.740)
Epoch: [71][1930/5005] Time 0.202 (0.211) Data 0.060 (0.048) Loss 2.1652 (2.3005) Prec@1 51.172 (47.523) Prec@5 73.828 (72.740)
Epoch: [71][1940/5005] Time 0.209 (0.211) Data 0.055 (0.048) Loss 2.1766 (2.3005) Prec@1 48.828 (47.520) Prec@5 75.391 (72.744)
Epoch: [71][1950/5005] Time 0.205 (0.211) Data 0.055 (0.048) Loss 2.3543 (2.3006) Prec@1 46.875 (47.517) Prec@5 70.703 (72.745)
Epoch: [71][1960/5005] Time 0.221 (0.211) Data 0.045 (0.048) Loss 2.2339 (2.3006) Prec@1 45.703 (47.516) Prec@5 75.000 (72.746)
Epoch: [71][1970/5005] Time 0.211 (0.211) Data 0.044 (0.048) Loss 2.2901 (2.3006) Prec@1 49.609 (47.514) Prec@5 73.828 (72.743)
Epoch: [71][1980/5005] Time 0.212 (0.211) Data 0.046 (0.048) Loss 2.0748 (2.3004) Prec@1 51.172 (47.516) Prec@5 76.562 (72.751)
Epoch: [71][1990/5005] Time 0.217 (0.211) Data 0.044 (0.048) Loss 2.2966 (2.3002) Prec@1 52.344 (47.522) Prec@5 70.312 (72.752)
Epoch: [71][2000/5005] Time 0.193 (0.212) Data 0.043 (0.048) Loss 2.0673 (2.3004) Prec@1 53.516 (47.517) Prec@5 74.609 (72.747)
Epoch: [71][2010/5005] Time 0.202 (0.212) Data 0.049 (0.048) Loss 2.2445 (2.3004) Prec@1 49.609 (47.518) Prec@5 75.781 (72.751)
Epoch: [71][2020/5005] Time 0.198 (0.212) Data 0.044 (0.048) Loss 2.3333 (2.3004) Prec@1 47.266 (47.515) Prec@5 74.609 (72.749)
Epoch: [71][2030/5005] Time 0.210 (0.212) Data 0.044 (0.048) Loss 2.1978 (2.3004) Prec@1 49.219 (47.518) Prec@5 73.047 (72.745)
Epoch: [71][2040/5005] Time 0.206 (0.212) Data 0.043 (0.048) Loss 2.1204 (2.3003) Prec@1 47.656 (47.513) Prec@5 75.781 (72.752)
Epoch: [71][2050/5005] Time 0.205 (0.212) Data 0.041 (0.048) Loss 2.3321 (2.3001) Prec@1 50.000 (47.518) Prec@5 71.484 (72.753)
Epoch: [71][2060/5005] Time 0.206 (0.212) Data 0.039 (0.048) Loss 2.2292 (2.3001) Prec@1 51.953 (47.514) Prec@5 74.219 (72.758)
Epoch: [71][2070/5005] Time 0.211 (0.212) Data 0.047 (0.048) Loss 2.5746 (2.3003) Prec@1 43.359 (47.511) Prec@5 66.016 (72.755)
Epoch: [71][2080/5005] Time 0.208 (0.212) Data 0.047 (0.048) Loss 2.2231 (2.3002) Prec@1 48.828 (47.512) Prec@5 74.219 (72.759)
Epoch: [71][2090/5005] Time 0.223 (0.212) Data 0.041 (0.048) Loss 2.1278 (2.2998) Prec@1 50.781 (47.517) Prec@5 74.609 (72.765)
Epoch: [71][2100/5005] Time 0.219 (0.212) Data 0.044 (0.048) Loss 2.3428 (2.2995) Prec@1 45.703 (47.524) Prec@5 71.875 (72.764)
Epoch: [71][2110/5005] Time 0.217 (0.212) Data 0.042 (0.048) Loss 2.1922 (2.2995) Prec@1 48.047 (47.527) Prec@5 76.172 (72.764)
Epoch: [71][2120/5005] Time 0.193 (0.212) Data 0.063 (0.048) Loss 2.3217 (2.2994) Prec@1 49.219 (47.526) Prec@5 71.875 (72.769)
Epoch: [71][2130/5005] Time 0.206 (0.212) Data 0.050 (0.048) Loss 2.1837 (2.2989) Prec@1 48.438 (47.534) Prec@5 75.391 (72.781)
Epoch: [71][2140/5005] Time 0.213 (0.212) Data 0.042 (0.048) Loss 2.2940 (2.2989) Prec@1 48.047 (47.532) Prec@5 71.875 (72.781)
Epoch: [71][2150/5005] Time 0.218 (0.212) Data 0.042 (0.048) Loss 2.2353 (2.2989) Prec@1 47.266 (47.532) Prec@5 73.047 (72.784)
Epoch: [71][2160/5005] Time 0.207 (0.212) Data 0.042 (0.048) Loss 2.1891 (2.2988) Prec@1 50.000 (47.532) Prec@5 75.391 (72.788)
Epoch: [71][2170/5005] Time 0.216 (0.212) Data 0.045 (0.048) Loss 2.1395 (2.2984) Prec@1 45.312 (47.539) Prec@5 77.344 (72.797)
Epoch: [71][2180/5005] Time 0.209 (0.212) Data 0.046 (0.048) Loss 2.3628 (2.2984) Prec@1 49.609 (47.541) Prec@5 69.141 (72.798)
Epoch: [71][2190/5005] Time 0.210 (0.212) Data 0.044 (0.048) Loss 2.5864 (2.2986) Prec@1 45.312 (47.540) Prec@5 63.672 (72.796)
Epoch: [71][2200/5005] Time 0.216 (0.212) Data 0.043 (0.047) Loss 2.3984 (2.2987) Prec@1 41.406 (47.531) Prec@5 67.969 (72.793)
Epoch: [71][2210/5005] Time 0.207 (0.211) Data 0.043 (0.047) Loss 2.4355 (2.2990) Prec@1 45.703 (47.527) Prec@5 71.875 (72.786)
Epoch: [71][2220/5005] Time 0.209 (0.211) Data 0.050 (0.047) Loss 2.3738 (2.2988) Prec@1 48.438 (47.527) Prec@5 72.266 (72.790)
Epoch: [71][2230/5005] Time 0.200 (0.211) Data 0.048 (0.047) Loss 2.3214 (2.2989) Prec@1 46.484 (47.522) Prec@5 72.266 (72.786)
Epoch: [71][2240/5005] Time 0.205 (0.211) Data 0.043 (0.047) Loss 2.5259 (2.2989) Prec@1 41.406 (47.520) Prec@5 70.703 (72.787)
Epoch: [71][2250/5005] Time 0.213 (0.211) Data 0.045 (0.047) Loss 2.0766 (2.2991) Prec@1 50.781 (47.513) Prec@5 76.953 (72.782)
Epoch: [71][2260/5005] Time 0.211 (0.211) Data 0.041 (0.047) Loss 2.3183 (2.2987) Prec@1 46.484 (47.523) Prec@5 71.875 (72.784)
Epoch: [71][2270/5005] Time 0.205 (0.211) Data 0.042 (0.047) Loss 2.2814 (2.2985) Prec@1 48.047 (47.527) Prec@5 72.266 (72.784)
Epoch: [71][2280/5005] Time 0.216 (0.211) Data 0.048 (0.047) Loss 2.2892 (2.2983) Prec@1 46.094 (47.531) Prec@5 73.438 (72.787)
Epoch: [71][2290/5005] Time 0.208 (0.211) Data 0.044 (0.047) Loss 2.0875 (2.2982) Prec@1 53.906 (47.527) Prec@5 77.734 (72.787)
Epoch: [71][2300/5005] Time 0.207 (0.211) Data 0.044 (0.047) Loss 2.2550 (2.2983) Prec@1 47.266 (47.522) Prec@5 71.875 (72.787)
Epoch: [71][2310/5005] Time 0.202 (0.211) Data 0.048 (0.047) Loss 2.2980 (2.2980) Prec@1 48.438 (47.532) Prec@5 71.484 (72.791)
Epoch: [71][2320/5005] Time 0.198 (0.211) Data 0.048 (0.047) Loss 2.4170 (2.2980) Prec@1 44.141 (47.530) Prec@5 69.531 (72.794)
Epoch: [71][2330/5005] Time 0.209 (0.211) Data 0.042 (0.048) Loss 2.1460 (2.2977) Prec@1 49.219 (47.531) Prec@5 75.781 (72.796)
Epoch: [71][2340/5005] Time 0.204 (0.211) Data 0.049 (0.048) Loss 2.2579 (2.2975) Prec@1 44.531 (47.533) Prec@5 71.875 (72.799)
Epoch: [71][2350/5005] Time 0.201 (0.211) Data 0.057 (0.048) Loss 2.2758 (2.2976) Prec@1 46.094 (47.527) Prec@5 73.438 (72.798)
Epoch: [71][2360/5005] Time 0.213 (0.211) Data 0.045 (0.048) Loss 2.3341 (2.2977) Prec@1 46.094 (47.526) Prec@5 71.094 (72.795)
Epoch: [71][2370/5005] Time 0.210 (0.211) Data 0.046 (0.048) Loss 2.3866 (2.2980) Prec@1 46.484 (47.520) Prec@5 71.094 (72.789)
Epoch: [71][2380/5005] Time 0.210 (0.211) Data 0.049 (0.048) Loss 2.3362 (2.2978) Prec@1 53.906 (47.523) Prec@5 71.094 (72.790)
Epoch: [71][2390/5005] Time 0.198 (0.211) Data 0.042 (0.048) Loss 2.3217 (2.2977) Prec@1 43.359 (47.523) Prec@5 71.094 (72.791)
Epoch: [71][2400/5005] Time 0.205 (0.211) Data 0.051 (0.048) Loss 2.3043 (2.2978) Prec@1 48.047 (47.524) Prec@5 73.828 (72.790)
Epoch: [71][2410/5005] Time 0.204 (0.211) Data 0.050 (0.048) Loss 2.4654 (2.2978) Prec@1 42.969 (47.521) Prec@5 69.531 (72.790)
Epoch: [71][2420/5005] Time 0.197 (0.211) Data 0.047 (0.048) Loss 2.3003 (2.2976) Prec@1 47.266 (47.528) Prec@5 71.875 (72.797)
Epoch: [71][2430/5005] Time 0.209 (0.211) Data 0.043 (0.048) Loss 2.1818 (2.2979) Prec@1 48.438 (47.519) Prec@5 75.781 (72.791)
Epoch: [71][2440/5005] Time 0.207 (0.211) Data 0.044 (0.048) Loss 2.1217 (2.2978) Prec@1 48.828 (47.523) Prec@5 75.000 (72.790)
Epoch: [71][2450/5005] Time 0.203 (0.211) Data 0.058 (0.048) Loss 2.1764 (2.2976) Prec@1 50.781 (47.525) Prec@5 74.219 (72.791)
Epoch: [71][2460/5005] Time 0.212 (0.211) Data 0.046 (0.048) Loss 2.2344 (2.2975) Prec@1 46.875 (47.527) Prec@5 72.656 (72.792)
Epoch: [71][2470/5005] Time 0.217 (0.211) Data 0.044 (0.048) Loss 2.0849 (2.2973) Prec@1 48.828 (47.529) Prec@5 76.562 (72.796)
Epoch: [71][2480/5005] Time 0.201 (0.211) Data 0.046 (0.048) Loss 2.4211 (2.2975) Prec@1 42.969 (47.520) Prec@5 69.922 (72.793)
Epoch: [71][2490/5005] Time 0.204 (0.211) Data 0.043 (0.048) Loss 2.0108 (2.2976) Prec@1 56.250 (47.517) Prec@5 78.906 (72.794)
Epoch: [71][2500/5005] Time 0.212 (0.211) Data 0.049 (0.048) Loss 2.3324 (2.2975) Prec@1 48.047 (47.520) Prec@5 72.266 (72.795)
Epoch: [71][2510/5005] Time 0.208 (0.211) Data 0.047 (0.048) Loss 2.3713 (2.2975) Prec@1 45.703 (47.519) Prec@5 74.219 (72.797)
Epoch: [71][2520/5005] Time 0.211 (0.211) Data 0.044 (0.048) Loss 2.2512 (2.2976) Prec@1 48.047 (47.521) Prec@5 73.828 (72.797)
Epoch: [71][2530/5005] Time 0.207 (0.211) Data 0.044 (0.048) Loss 2.3755 (2.2976) Prec@1 42.969 (47.518) Prec@5 67.578 (72.796)
Epoch: [71][2540/5005] Time 0.210 (0.211) Data 0.043 (0.048) Loss 2.3433 (2.2975) Prec@1 44.141 (47.521) Prec@5 71.484 (72.794)
Epoch: [71][2550/5005] Time 0.195 (0.211) Data 0.058 (0.048) Loss 2.2660 (2.2975) Prec@1 45.312 (47.523) Prec@5 73.438 (72.797)
Epoch: [71][2560/5005] Time 0.211 (0.211) Data 0.046 (0.048) Loss 2.4636 (2.2977) Prec@1 44.141 (47.516) Prec@5 73.047 (72.791)
Epoch: [71][2570/5005] Time 0.214 (0.211) Data 0.042 (0.048) Loss 2.3438 (2.2977) Prec@1 47.656 (47.514) Prec@5 74.609 (72.792)
Epoch: [71][2580/5005] Time 0.213 (0.211) Data 0.041 (0.047) Loss 2.3949 (2.2980) Prec@1 45.312 (47.510) Prec@5 70.703 (72.787)
Epoch: [71][2590/5005] Time 0.211 (0.211) Data 0.041 (0.047) Loss 2.3857 (2.2977) Prec@1 48.828 (47.521) Prec@5 72.266 (72.791)
Epoch: [71][2600/5005] Time 0.206 (0.211) Data 0.045 (0.047) Loss 2.4735 (2.2979) Prec@1 43.359 (47.518) Prec@5 71.484 (72.787)
Epoch: [71][2610/5005] Time 0.213 (0.211) Data 0.043 (0.047) Loss 2.4116 (2.2977) Prec@1 47.656 (47.524) Prec@5 68.359 (72.788)
Epoch: [71][2620/5005] Time 0.209 (0.211) Data 0.044 (0.047) Loss 2.1596 (2.2977) Prec@1 49.219 (47.527) Prec@5 76.172 (72.790)
Epoch: [71][2630/5005] Time 0.208 (0.211) Data 0.044 (0.047) Loss 2.3861 (2.2981) Prec@1 45.703 (47.520) Prec@5 70.703 (72.784)
Epoch: [71][2640/5005] Time 0.214 (0.211) Data 0.043 (0.047) Loss 2.4055 (2.2980) Prec@1 46.875 (47.524) Prec@5 69.531 (72.784)
Epoch: [71][2650/5005] Time 0.212 (0.211) Data 0.043 (0.047) Loss 2.5105 (2.2980) Prec@1 42.188 (47.523) Prec@5 68.359 (72.781)
Epoch: [71][2660/5005] Time 0.208 (0.211) Data 0.044 (0.047) Loss 2.3864 (2.2979) Prec@1 44.141 (47.524) Prec@5 72.266 (72.782)
Epoch: [71][2670/5005] Time 0.213 (0.211) Data 0.043 (0.047) Loss 2.0840 (2.2977) Prec@1 49.609 (47.530) Prec@5 75.781 (72.786)
Epoch: [71][2680/5005] Time 0.199 (0.211) Data 0.045 (0.047) Loss 2.0986 (2.2976) Prec@1 50.781 (47.529) Prec@5 74.219 (72.790)
Epoch: [71][2690/5005] Time 0.203 (0.211) Data 0.058 (0.047) Loss 2.2495 (2.2975) Prec@1 49.609 (47.528) Prec@5 73.438 (72.792)
Epoch: [71][2700/5005] Time 0.203 (0.211) Data 0.056 (0.047) Loss 2.1959 (2.2975) Prec@1 48.828 (47.527) Prec@5 73.438 (72.794)
Epoch: [71][2710/5005] Time 0.212 (0.211) Data 0.043 (0.047) Loss 2.2058 (2.2977) Prec@1 50.391 (47.524) Prec@5 75.000 (72.789)
Epoch: [71][2720/5005] Time 0.204 (0.211) Data 0.040 (0.047) Loss 2.1635 (2.2976) Prec@1 51.172 (47.524) Prec@5 77.344 (72.790)
Epoch: [71][2730/5005] Time 0.196 (0.211) Data 0.058 (0.047) Loss 2.4222 (2.2975) Prec@1 46.875 (47.527) Prec@5 69.922 (72.790)
Epoch: [71][2740/5005] Time 0.213 (0.211) Data 0.044 (0.047) Loss 2.1528 (2.2975) Prec@1 54.297 (47.528) Prec@5 75.391 (72.792)
Epoch: [71][2750/5005] Time 0.213 (0.211) Data 0.042 (0.047) Loss 2.2580 (2.2972) Prec@1 47.266 (47.535) Prec@5 70.703 (72.795)
Epoch: [71][2760/5005] Time 0.208 (0.211) Data 0.067 (0.047) Loss 2.2744 (2.2972) Prec@1 49.219 (47.536) Prec@5 74.219 (72.796)
Epoch: [71][2770/5005] Time 0.211 (0.211) Data 0.050 (0.047) Loss 2.2940 (2.2974) Prec@1 50.000 (47.534) Prec@5 72.656 (72.792)
Epoch: [71][2780/5005] Time 0.205 (0.211) Data 0.048 (0.047) Loss 2.3495 (2.2974) Prec@1 47.266 (47.532) Prec@5 71.875 (72.792)
Epoch: [71][2790/5005] Time 0.199 (0.211) Data 0.045 (0.047) Loss 2.5591 (2.2975) Prec@1 42.188 (47.531) Prec@5 69.141 (72.791)
Epoch: [71][2800/5005] Time 0.209 (0.211) Data 0.043 (0.047) Loss 1.9826 (2.2974) Prec@1 54.688 (47.534) Prec@5 78.125 (72.794)
Epoch: [71][2810/5005] Time 0.199 (0.211) Data 0.051 (0.047) Loss 2.5722 (2.2974) Prec@1 42.578 (47.530) Prec@5 67.969 (72.794)
Epoch: [71][2820/5005] Time 0.212 (0.211) Data 0.044 (0.047) Loss 2.0498 (2.2973) Prec@1 47.656 (47.526) Prec@5 77.734 (72.794)
Epoch: [71][2830/5005] Time 0.204 (0.211) Data 0.059 (0.047) Loss 2.4868 (2.2974) Prec@1 42.969 (47.521) Prec@5 70.703 (72.795)
Epoch: [71][2840/5005] Time 0.208 (0.211) Data 0.046 (0.047) Loss 2.2480 (2.2974) Prec@1 50.391 (47.517) Prec@5 74.219 (72.797)
Epoch: [71][2850/5005] Time 0.220 (0.211) Data 0.046 (0.047) Loss 2.3609 (2.2974) Prec@1 50.781 (47.522) Prec@5 70.703 (72.796)
Epoch: [71][2860/5005] Time 0.203 (0.211) Data 0.051 (0.047) Loss 2.2663 (2.2975) Prec@1 48.828 (47.517) Prec@5 72.656 (72.795)
Epoch: [71][2870/5005] Time 0.193 (0.211) Data 0.047 (0.047) Loss 2.1500 (2.2971) Prec@1 49.219 (47.528) Prec@5 75.000 (72.801)
Epoch: [71][2880/5005] Time 0.216 (0.211) Data 0.047 (0.047) Loss 2.2446 (2.2970) Prec@1 48.047 (47.530) Prec@5 76.172 (72.801)
Epoch: [71][2890/5005] Time 0.211 (0.211) Data 0.048 (0.047) Loss 2.1980 (2.2969) Prec@1 46.484 (47.538) Prec@5 73.438 (72.806)
Epoch: [71][2900/5005] Time 0.212 (0.211) Data 0.043 (0.047) Loss 1.9944 (2.2966) Prec@1 52.734 (47.543) Prec@5 76.953 (72.811)
Epoch: [71][2910/5005] Time 0.213 (0.211) Data 0.043 (0.047) Loss 2.2019 (2.2966) Prec@1 46.484 (47.540) Prec@5 76.562 (72.810)
Epoch: [71][2920/5005] Time 0.199 (0.211) Data 0.043 (0.047) Loss 2.3453 (2.2966) Prec@1 46.484 (47.540) Prec@5 71.094 (72.810)
Epoch: [71][2930/5005] Time 0.206 (0.211) Data 0.044 (0.047) Loss 2.4395 (2.2966) Prec@1 44.922 (47.540) Prec@5 69.141 (72.809)
Epoch: [71][2940/5005] Time 0.205 (0.211) Data 0.058 (0.047) Loss 2.3210 (2.2964) Prec@1 47.266 (47.538) Prec@5 73.047 (72.812)
Epoch: [71][2950/5005] Time 0.209 (0.211) Data 0.042 (0.047) Loss 2.4794 (2.2962) Prec@1 42.578 (47.543) Prec@5 73.828 (72.816)
Epoch: [71][2960/5005] Time 0.203 (0.211) Data 0.042 (0.047) Loss 2.2616 (2.2960) Prec@1 44.531 (47.545) Prec@5 70.703 (72.818)
Epoch: [71][2970/5005] Time 0.211 (0.211) Data 0.056 (0.047) Loss 2.1869 (2.2958) Prec@1 44.922 (47.547) Prec@5 76.172 (72.823)
Epoch: [71][2980/5005] Time 0.212 (0.211) Data 0.042 (0.047) Loss 2.4346 (2.2957) Prec@1 44.531 (47.551) Prec@5 72.656 (72.829)
Epoch: [71][2990/5005] Time 0.208 (0.211) Data 0.044 (0.047) Loss 2.2526 (2.2956) Prec@1 48.438 (47.551) Prec@5 72.266 (72.829)
Epoch: [71][3000/5005] Time 0.211 (0.211) Data 0.043 (0.047) Loss 2.4111 (2.2956) Prec@1 42.969 (47.550) Prec@5 69.531 (72.828)
Epoch: [71][3010/5005] Time 0.209 (0.211) Data 0.042 (0.047) Loss 2.3176 (2.2958) Prec@1 42.578 (47.550) Prec@5 71.875 (72.826)
Epoch: [71][3020/5005] Time 0.209 (0.211) Data 0.044 (0.047) Loss 2.1165 (2.2958) Prec@1 50.391 (47.550) Prec@5 76.172 (72.826)
Epoch: [71][3030/5005] Time 0.210 (0.211) Data 0.040 (0.047) Loss 2.3331 (2.2958) Prec@1 52.344 (47.550) Prec@5 73.047 (72.826)
Epoch: [71][3040/5005] Time 0.197 (0.211) Data 0.044 (0.047) Loss 2.1863 (2.2957) Prec@1 50.391 (47.555) Prec@5 75.391 (72.826)
Epoch: [71][3050/5005] Time 0.209 (0.211) Data 0.042 (0.047) Loss 2.3625 (2.2957) Prec@1 42.188 (47.549) Prec@5 71.484 (72.822)
Epoch: [71][3060/5005] Time 0.209 (0.211) Data 0.042 (0.047) Loss 2.2044 (2.2956) Prec@1 52.344 (47.553) Prec@5 74.219 (72.822)
Epoch: [71][3070/5005] Time 0.209 (0.211) Data 0.042 (0.047) Loss 2.1337 (2.2957) Prec@1 50.000 (47.549) Prec@5 75.781 (72.822)
Epoch: [71][3080/5005] Time 0.211 (0.211) Data 0.043 (0.047) Loss 2.2922 (2.2957) Prec@1 44.141 (47.544) Prec@5 73.047 (72.821)
Epoch: [71][3090/5005] Time 0.207 (0.211) Data 0.041 (0.047) Loss 2.6627 (2.2958) Prec@1 41.406 (47.541) Prec@5 67.578 (72.819)
Epoch: [71][3100/5005] Time 0.207 (0.211) Data 0.049 (0.047) Loss 2.4107 (2.2959) Prec@1 44.922 (47.538) Prec@5 71.484 (72.820)
Epoch: [71][3110/5005] Time 0.215 (0.211) Data 0.043 (0.047) Loss 2.0244 (2.2956) Prec@1 50.391 (47.541) Prec@5 77.344 (72.824)
Epoch: [71][3120/5005] Time 0.209 (0.211) Data 0.049 (0.047) Loss 2.2747 (2.2956) Prec@1 48.438 (47.538) Prec@5 69.141 (72.823)
Epoch: [71][3130/5005] Time 0.205 (0.211) Data 0.040 (0.047) Loss 2.3924 (2.2956) Prec@1 43.359 (47.540) Prec@5 69.531 (72.823)
Epoch: [71][3140/5005] Time 0.208 (0.211) Data 0.045 (0.047) Loss 2.0725 (2.2953) Prec@1 51.562 (47.547) Prec@5 74.609 (72.825)
Epoch: [71][3150/5005] Time 0.196 (0.210) Data 0.051 (0.047) Loss 2.3125 (2.2953) Prec@1 49.219 (47.550) Prec@5 73.438 (72.825)
Epoch: [71][3160/5005] Time 0.212 (0.210) Data 0.049 (0.047) Loss 1.9755 (2.2953) Prec@1 55.078 (47.553) Prec@5 77.734 (72.825)
Epoch: [71][3170/5005] Time 0.207 (0.210) Data 0.047 (0.047) Loss 2.3550 (2.2955) Prec@1 43.750 (47.552) Prec@5 70.312 (72.821)
Epoch: [71][3180/5005] Time 0.198 (0.210) Data 0.047 (0.047) Loss 2.1879 (2.2955) Prec@1 53.125 (47.553) Prec@5 73.438 (72.817)
Epoch: [71][3190/5005] Time 0.211 (0.210) Data 0.042 (0.047) Loss 2.3838 (2.2957) Prec@1 46.875 (47.547) Prec@5 72.266 (72.816)
Epoch: [71][3200/5005] Time 0.208 (0.210) Data 0.047 (0.047) Loss 2.3607 (2.2956) Prec@1 44.922 (47.549) Prec@5 71.094 (72.817)
Epoch: [71][3210/5005] Time 0.213 (0.210) Data 0.051 (0.047) Loss 2.4159 (2.2956) Prec@1 44.922 (47.550) Prec@5 71.484 (72.817)
Epoch: [71][3220/5005] Time 0.215 (0.210) Data 0.048 (0.047) Loss 2.2692 (2.2956) Prec@1 50.391 (47.555) Prec@5 74.609 (72.818)
Epoch: [71][3230/5005] Time 0.204 (0.210) Data 0.043 (0.047) Loss 2.2766 (2.2953) Prec@1 48.438 (47.559) Prec@5 72.266 (72.822)
Epoch: [71][3240/5005] Time 0.210 (0.210) Data 0.049 (0.047) Loss 2.4822 (2.2956) Prec@1 41.016 (47.552) Prec@5 70.312 (72.816)
Epoch: [71][3250/5005] Time 0.212 (0.210) Data 0.046 (0.047) Loss 2.2383 (2.2957) Prec@1 48.438 (47.549) Prec@5 74.609 (72.814)
Epoch: [71][3260/5005] Time 0.217 (0.210) Data 0.042 (0.047) Loss 2.3572 (2.2957) Prec@1 45.703 (47.545) Prec@5 72.656 (72.816)
Epoch: [71][3270/5005] Time 0.219 (0.210) Data 0.044 (0.047) Loss 2.3039 (2.2956) Prec@1 52.344 (47.547) Prec@5 71.875 (72.819)
Epoch: [71][3280/5005] Time 0.208 (0.210) Data 0.047 (0.047) Loss 2.2466 (2.2956) Prec@1 47.656 (47.545) Prec@5 71.094 (72.817)
Epoch: [71][3290/5005] Time 0.207 (0.210) Data 0.055 (0.047) Loss 2.2452 (2.2955) Prec@1 48.047 (47.547) Prec@5 69.922 (72.816)
Epoch: [71][3300/5005] Time 0.206 (0.210) Data 0.057 (0.047) Loss 2.2432 (2.2955) Prec@1 46.094 (47.547) Prec@5 72.656 (72.816)
Epoch: [71][3310/5005] Time 0.207 (0.210) Data 0.044 (0.047) Loss 2.1817 (2.2956) Prec@1 48.047 (47.549) Prec@5 71.484 (72.814)
Epoch: [71][3320/5005] Time 0.209 (0.210) Data 0.043 (0.047) Loss 2.3446 (2.2955) Prec@1 46.875 (47.549) Prec@5 69.141 (72.815)
Epoch: [71][3330/5005] Time 0.207 (0.210) Data 0.046 (0.047) Loss 2.3666 (2.2956) Prec@1 46.094 (47.545) Prec@5 71.875 (72.815)
Epoch: [71][3340/5005] Time 0.210 (0.210) Data 0.043 (0.047) Loss 2.3703 (2.2956) Prec@1 48.047 (47.545) Prec@5 73.047 (72.816)
Epoch: [71][3350/5005] Time 0.211 (0.210) Data 0.041 (0.047) Loss 2.4180 (2.2955) Prec@1 44.531 (47.542) Prec@5 71.875 (72.819)
Epoch: [71][3360/5005] Time 0.211 (0.210) Data 0.042 (0.047) Loss 2.1535 (2.2955) Prec@1 51.172 (47.543) Prec@5 75.000 (72.821)
Epoch: [71][3370/5005] Time 0.213 (0.210) Data 0.043 (0.047) Loss 2.2400 (2.2956) Prec@1 43.750 (47.542) Prec@5 72.266 (72.818)
Epoch: [71][3380/5005] Time 0.208 (0.210) Data 0.044 (0.047) Loss 2.2365 (2.2955) Prec@1 47.656 (47.542) Prec@5 74.609 (72.821)
Epoch: [71][3390/5005] Time 0.218 (0.210) Data 0.048 (0.047) Loss 2.1588 (2.2955) Prec@1 50.781 (47.542) Prec@5 72.656 (72.819)
Epoch: [71][3400/5005] Time 0.210 (0.210) Data 0.045 (0.047) Loss 2.0892 (2.2956) Prec@1 49.609 (47.542) Prec@5 75.000 (72.819)
Epoch: [71][3410/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.2526 (2.2955) Prec@1 47.656 (47.543) Prec@5 73.438 (72.821)
Epoch: [71][3420/5005] Time 0.207 (0.210) Data 0.052 (0.047) Loss 2.2720 (2.2955) Prec@1 49.219 (47.544) Prec@5 73.047 (72.821)
Epoch: [71][3430/5005] Time 0.217 (0.210) Data 0.045 (0.047) Loss 2.1821 (2.2955) Prec@1 47.656 (47.545) Prec@5 73.047 (72.822)
Epoch: [71][3440/5005] Time 0.202 (0.210) Data 0.047 (0.047) Loss 2.2913 (2.2954) Prec@1 47.656 (47.544) Prec@5 71.484 (72.824)
Epoch: [71][3450/5005] Time 0.212 (0.210) Data 0.045 (0.047) Loss 2.1236 (2.2952) Prec@1 51.562 (47.548) Prec@5 73.438 (72.826)
Epoch: [71][3460/5005] Time 0.200 (0.210) Data 0.041 (0.047) Loss 2.2686 (2.2952) Prec@1 47.266 (47.546) Prec@5 75.781 (72.827)
Epoch: [71][3470/5005] Time 0.213 (0.210) Data 0.043 (0.047) Loss 2.0591 (2.2951) Prec@1 52.344 (47.550) Prec@5 76.172 (72.828)
Epoch: [71][3480/5005] Time 0.214 (0.210) Data 0.043 (0.047) Loss 2.1628 (2.2949) Prec@1 50.000 (47.555) Prec@5 76.562 (72.830)
Epoch: [71][3490/5005] Time 0.215 (0.210) Data 0.044 (0.047) Loss 2.5764 (2.2949) Prec@1 40.234 (47.555) Prec@5 69.141 (72.830)
Epoch: [71][3500/5005] Time 0.207 (0.210) Data 0.042 (0.047) Loss 2.1016 (2.2949) Prec@1 49.609 (47.555) Prec@5 75.781 (72.830)
Epoch: [71][3510/5005] Time 0.214 (0.210) Data 0.046 (0.047) Loss 2.2011 (2.2947) Prec@1 48.828 (47.557) Prec@5 71.484 (72.830)
Epoch: [71][3520/5005] Time 0.204 (0.210) Data 0.044 (0.047) Loss 2.3525 (2.2947) Prec@1 48.047 (47.559) Prec@5 71.094 (72.831)
Epoch: [71][3530/5005] Time 0.214 (0.210) Data 0.044 (0.047) Loss 2.3592 (2.2946) Prec@1 46.094 (47.562) Prec@5 71.094 (72.831)
Epoch: [71][3540/5005] Time 0.209 (0.210) Data 0.043 (0.047) Loss 2.2281 (2.2943) Prec@1 51.953 (47.571) Prec@5 75.781 (72.836)
Epoch: [71][3550/5005] Time 0.213 (0.210) Data 0.045 (0.047) Loss 2.2521 (2.2941) Prec@1 47.656 (47.573) Prec@5 74.609 (72.836)
Epoch: [71][3560/5005] Time 0.206 (0.210) Data 0.057 (0.047) Loss 2.2934 (2.2940) Prec@1 44.922 (47.576) Prec@5 72.656 (72.838)
Epoch: [71][3570/5005] Time 0.217 (0.210) Data 0.044 (0.047) Loss 2.2877 (2.2939) Prec@1 47.656 (47.580) Prec@5 74.219 (72.840)
Epoch: [71][3580/5005] Time 0.205 (0.210) Data 0.048 (0.047) Loss 2.3097 (2.2940) Prec@1 46.875 (47.575) Prec@5 73.047 (72.840)
Epoch: [71][3590/5005] Time 0.197 (0.210) Data 0.042 (0.047) Loss 2.4049 (2.2937) Prec@1 47.656 (47.581) Prec@5 68.750 (72.844)
Epoch: [71][3600/5005] Time 0.209 (0.210) Data 0.044 (0.047) Loss 2.2006 (2.2934) Prec@1 47.266 (47.586) Prec@5 73.438 (72.847)
Epoch: [71][3610/5005] Time 0.216 (0.210) Data 0.042 (0.047) Loss 2.1691 (2.2934) Prec@1 51.953 (47.589) Prec@5 73.047 (72.848)
Epoch: [71][3620/5005] Time 0.211 (0.210) Data 0.041 (0.047) Loss 2.3871 (2.2932) Prec@1 46.094 (47.597) Prec@5 70.312 (72.852)
Epoch: [71][3630/5005] Time 0.206 (0.210) Data 0.046 (0.047) Loss 2.5005 (2.2931) Prec@1 42.969 (47.597) Prec@5 70.312 (72.853)
Epoch: [71][3640/5005] Time 0.206 (0.210) Data 0.046 (0.047) Loss 2.2824 (2.2933) Prec@1 46.484 (47.596) Prec@5 68.359 (72.847)
Epoch: [71][3650/5005] Time 0.209 (0.210) Data 0.042 (0.047) Loss 2.2564 (2.2933) Prec@1 50.000 (47.594) Prec@5 71.875 (72.845)
Epoch: [71][3660/5005] Time 0.209 (0.210) Data 0.041 (0.047) Loss 2.4262 (2.2932) Prec@1 41.406 (47.595) Prec@5 70.312 (72.848)
Epoch: [71][3670/5005] Time 0.197 (0.210) Data 0.060 (0.047) Loss 2.5865 (2.2933) Prec@1 43.359 (47.594) Prec@5 68.359 (72.849)
Epoch: [71][3680/5005] Time 0.203 (0.210) Data 0.055 (0.047) Loss 2.1946 (2.2933) Prec@1 44.922 (47.590) Prec@5 73.438 (72.848)
Epoch: [71][3690/5005] Time 0.208 (0.210) Data 0.045 (0.047) Loss 2.1383 (2.2932) Prec@1 49.219 (47.591) Prec@5 78.125 (72.850)
Epoch: [71][3700/5005] Time 0.204 (0.210) Data 0.055 (0.047) Loss 2.3951 (2.2932) Prec@1 46.094 (47.591) Prec@5 72.656 (72.849)
Epoch: [71][3710/5005] Time 0.207 (0.210) Data 0.043 (0.047) Loss 2.2830 (2.2932) Prec@1 47.656 (47.590) Prec@5 75.391 (72.851)
Epoch: [71][3720/5005] Time 0.203 (0.210) Data 0.057 (0.047) Loss 2.4010 (2.2933) Prec@1 47.266 (47.587) Prec@5 73.047 (72.848)
Epoch: [71][3730/5005] Time 0.203 (0.210) Data 0.040 (0.047) Loss 2.1609 (2.2932) Prec@1 50.000 (47.588) Prec@5 75.781 (72.851)
Epoch: [71][3740/5005] Time 0.201 (0.210) Data 0.054 (0.047) Loss 2.1427 (2.2930) Prec@1 53.516 (47.592) Prec@5 76.172 (72.852)
Epoch: [71][3750/5005] Time 0.206 (0.210) Data 0.047 (0.047) Loss 2.1387 (2.2930) Prec@1 50.781 (47.590) Prec@5 74.219 (72.851)
Epoch: [71][3760/5005] Time 0.210 (0.210) Data 0.041 (0.047) Loss 2.3498 (2.2931) Prec@1 44.141 (47.590) Prec@5 71.094 (72.850)
Epoch: [71][3770/5005] Time 0.213 (0.210) Data 0.043 (0.047) Loss 2.3123 (2.2930) Prec@1 44.141 (47.592) Prec@5 73.047 (72.852)
Epoch: [71][3780/5005] Time 0.203 (0.210) Data 0.042 (0.047) Loss 2.2258 (2.2929) Prec@1 47.656 (47.594) Prec@5 76.953 (72.852)
Epoch: [71][3790/5005] Time 0.204 (0.210) Data 0.051 (0.047) Loss 2.3955 (2.2930) Prec@1 48.047 (47.591) Prec@5 71.484 (72.851)
Epoch: [71][3800/5005] Time 0.204 (0.210) Data 0.055 (0.047) Loss 2.1329 (2.2933) Prec@1 46.484 (47.586) Prec@5 73.438 (72.845)
Epoch: [71][3810/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.2902 (2.2934) Prec@1 49.609 (47.584) Prec@5 74.609 (72.844)
Epoch: [71][3820/5005] Time 0.207 (0.210) Data 0.061 (0.047) Loss 2.2608 (2.2932) Prec@1 44.531 (47.586) Prec@5 73.828 (72.847)
Epoch: [71][3830/5005] Time 0.203 (0.210) Data 0.064 (0.047) Loss 2.2084 (2.2929) Prec@1 48.047 (47.590) Prec@5 71.875 (72.851)
Epoch: [71][3840/5005] Time 0.206 (0.210) Data 0.057 (0.047) Loss 2.5592 (2.2931) Prec@1 41.016 (47.588) Prec@5 65.625 (72.848)
Epoch: [71][3850/5005] Time 0.207 (0.210) Data 0.051 (0.047) Loss 2.3714 (2.2929) Prec@1 48.438 (47.587) Prec@5 75.000 (72.852)
Epoch: [71][3860/5005] Time 0.202 (0.210) Data 0.048 (0.047) Loss 2.1241 (2.2929) Prec@1 55.078 (47.588) Prec@5 74.609 (72.851)
Epoch: [71][3870/5005] Time 0.201 (0.210) Data 0.045 (0.047) Loss 2.1636 (2.2929) Prec@1 50.781 (47.587) Prec@5 73.438 (72.851)
Epoch: [71][3880/5005] Time 0.195 (0.210) Data 0.047 (0.047) Loss 2.1793 (2.2928) Prec@1 50.781 (47.591) Prec@5 76.953 (72.852)
Epoch: [71][3890/5005] Time 0.201 (0.210) Data 0.050 (0.047) Loss 2.4795 (2.2928) Prec@1 45.312 (47.591) Prec@5 69.531 (72.851)
Epoch: [71][3900/5005] Time 0.208 (0.210) Data 0.042 (0.047) Loss 2.5114 (2.2928) Prec@1 46.094 (47.592) Prec@5 68.359 (72.851)
Epoch: [71][3910/5005] Time 0.214 (0.210) Data 0.044 (0.047) Loss 2.3337 (2.2928) Prec@1 43.750 (47.593) Prec@5 72.266 (72.852)
Epoch: [71][3920/5005] Time 0.203 (0.210) Data 0.045 (0.047) Loss 2.3024 (2.2928) Prec@1 49.219 (47.594) Prec@5 73.438 (72.851)
Epoch: [71][3930/5005] Time 0.990 (0.210) Data 0.038 (0.047) Loss 2.0990 (2.2926) Prec@1 51.562 (47.597) Prec@5 76.172 (72.856)
Epoch: [71][3940/5005] Time 0.198 (0.210) Data 0.046 (0.047) Loss 2.2294 (2.2925) Prec@1 50.781 (47.597) Prec@5 76.172 (72.859)
Epoch: [71][3950/5005] Time 0.189 (0.210) Data 0.064 (0.047) Loss 2.2076 (2.2924) Prec@1 50.781 (47.601) Prec@5 74.609 (72.862)
Epoch: [71][3960/5005] Time 0.217 (0.210) Data 0.045 (0.047) Loss 2.2598 (2.2924) Prec@1 45.703 (47.597) Prec@5 73.047 (72.861)
Epoch: [71][3970/5005] Time 0.201 (0.210) Data 0.043 (0.047) Loss 2.2098 (2.2923) Prec@1 49.219 (47.596) Prec@5 74.609 (72.862)
Epoch: [71][3980/5005] Time 0.209 (0.210) Data 0.043 (0.047) Loss 2.2378 (2.2924) Prec@1 47.266 (47.596) Prec@5 71.875 (72.858)
Epoch: [71][3990/5005] Time 0.200 (0.210) Data 0.058 (0.047) Loss 2.3305 (2.2924) Prec@1 50.391 (47.596) Prec@5 73.047 (72.857)
Epoch: [71][4000/5005] Time 0.211 (0.210) Data 0.042 (0.047) Loss 2.1496 (2.2923) Prec@1 47.266 (47.594) Prec@5 75.000 (72.861)
Epoch: [71][4010/5005] Time 0.216 (0.210) Data 0.045 (0.047) Loss 2.3035 (2.2921) Prec@1 46.484 (47.598) Prec@5 72.266 (72.863)
Epoch: [71][4020/5005] Time 0.216 (0.210) Data 0.058 (0.047) Loss 2.5263 (2.2921) Prec@1 44.141 (47.600) Prec@5 69.141 (72.863)
Epoch: [71][4030/5005] Time 0.206 (0.210) Data 0.060 (0.047) Loss 2.5000 (2.2924) Prec@1 47.266 (47.598) Prec@5 68.750 (72.858)
Epoch: [71][4040/5005] Time 0.206 (0.210) Data 0.047 (0.047) Loss 2.2270 (2.2924) Prec@1 49.609 (47.596) Prec@5 73.438 (72.857)
Epoch: [71][4050/5005] Time 0.203 (0.210) Data 0.046 (0.047) Loss 2.5403 (2.2924) Prec@1 42.188 (47.596) Prec@5 67.188 (72.859)
Epoch: [71][4060/5005] Time 0.198 (0.210) Data 0.060 (0.047) Loss 2.2069 (2.2923) Prec@1 46.875 (47.598) Prec@5 72.656 (72.863)
Epoch: [71][4070/5005] Time 0.206 (0.210) Data 0.061 (0.047) Loss 2.4034 (2.2923) Prec@1 45.703 (47.598) Prec@5 74.219 (72.864)
Epoch: [71][4080/5005] Time 0.204 (0.210) Data 0.043 (0.047) Loss 2.2113 (2.2922) Prec@1 51.172 (47.599) Prec@5 73.047 (72.864)
Epoch: [71][4090/5005] Time 0.212 (0.210) Data 0.044 (0.047) Loss 2.4347 (2.2922) Prec@1 44.922 (47.599) Prec@5 69.141 (72.864)
Epoch: [71][4100/5005] Time 0.211 (0.210) Data 0.043 (0.047) Loss 2.2403 (2.2920) Prec@1 49.219 (47.601) Prec@5 73.047 (72.865)
Epoch: [71][4110/5005] Time 0.211 (0.210) Data 0.044 (0.047) Loss 2.4548 (2.2920) Prec@1 44.531 (47.599) Prec@5 69.531 (72.867)
Epoch: [71][4120/5005] Time 0.218 (0.210) Data 0.043 (0.047) Loss 2.2915 (2.2919) Prec@1 50.391 (47.600) Prec@5 70.703 (72.868)
Epoch: [71][4130/5005] Time 0.206 (0.210) Data 0.043 (0.047) Loss 2.4091 (2.2918) Prec@1 44.531 (47.601) Prec@5 69.531 (72.869)
Epoch: [71][4140/5005] Time 0.195 (0.210) Data 0.060 (0.047) Loss 2.3169 (2.2917) Prec@1 49.219 (47.604) Prec@5 71.875 (72.869)
Epoch: [71][4150/5005] Time 0.204 (0.210) Data 0.055 (0.047) Loss 2.4589 (2.2918) Prec@1 46.484 (47.603) Prec@5 72.266 (72.869)
Epoch: [71][4160/5005] Time 0.214 (0.210) Data 0.050 (0.047) Loss 2.3740 (2.2920) Prec@1 47.656 (47.602) Prec@5 75.391 (72.869)
Epoch: [71][4170/5005] Time 0.214 (0.210) Data 0.052 (0.047) Loss 2.3234 (2.2918) Prec@1 43.359 (47.606) Prec@5 71.875 (72.872)
Epoch: [71][4180/5005] Time 0.209 (0.210) Data 0.046 (0.047) Loss 2.2433 (2.2917) Prec@1 49.609 (47.608) Prec@5 73.047 (72.873)
Epoch: [71][4190/5005] Time 0.201 (0.210) Data 0.042 (0.047) Loss 2.1868 (2.2917) Prec@1 49.609 (47.605) Prec@5 74.219 (72.872)
Epoch: [71][4200/5005] Time 0.211 (0.210) Data 0.052 (0.047) Loss 2.1599 (2.2917) Prec@1 51.172 (47.604) Prec@5 74.219 (72.873)
Epoch: [71][4210/5005] Time 0.202 (0.210) Data 0.045 (0.047) Loss 2.1796 (2.2916) Prec@1 49.219 (47.610) Prec@5 75.781 (72.874)
Epoch: [71][4220/5005] Time 0.203 (0.210) Data 0.043 (0.047) Loss 2.3948 (2.2917) Prec@1 48.438 (47.608) Prec@5 71.484 (72.871)
Epoch: [71][4230/5005] Time 0.216 (0.210) Data 0.042 (0.047) Loss 2.2975 (2.2916) Prec@1 49.219 (47.611) Prec@5 72.656 (72.871)
Epoch: [71][4240/5005] Time 0.212 (0.210) Data 0.039 (0.047) Loss 2.1897 (2.2917) Prec@1 48.438 (47.612) Prec@5 76.172 (72.871)
Epoch: [71][4250/5005] Time 0.204 (0.210) Data 0.052 (0.047) Loss 2.1711 (2.2916) Prec@1 46.875 (47.612) Prec@5 74.219 (72.871)
Epoch: [71][4260/5005] Time 0.210 (0.210) Data 0.057 (0.048) Loss 2.3208 (2.2915) Prec@1 43.359 (47.610) Prec@5 74.609 (72.872)
Epoch: [71][4270/5005] Time 0.203 (0.210) Data 0.047 (0.048) Loss 2.5541 (2.2916) Prec@1 42.969 (47.607) Prec@5 71.094 (72.871)
Epoch: [71][4280/5005] Time 0.208 (0.210) Data 0.063 (0.048) Loss 2.3771 (2.2916) Prec@1 49.219 (47.609) Prec@5 73.047 (72.872)
Epoch: [71][4290/5005] Time 0.200 (0.210) Data 0.050 (0.048) Loss 2.3878 (2.2916) Prec@1 47.266 (47.610) Prec@5 69.141 (72.873)
Epoch: [71][4300/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.0437 (2.2913) Prec@1 54.297 (47.611) Prec@5 78.516 (72.876)
Epoch: [71][4310/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.2439 (2.2914) Prec@1 50.000 (47.612) Prec@5 73.438 (72.879)
Epoch: [71][4320/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.2613 (2.2914) Prec@1 50.391 (47.612) Prec@5 73.047 (72.877)
Epoch: [71][4330/5005] Time 0.204 (0.210) Data 0.043 (0.048) Loss 2.2375 (2.2913) Prec@1 46.094 (47.613) Prec@5 74.219 (72.878)
Epoch: [71][4340/5005] Time 0.211 (0.210) Data 0.046 (0.048) Loss 2.2638 (2.2914) Prec@1 48.438 (47.608) Prec@5 73.438 (72.879)
Epoch: [71][4350/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.3647 (2.2913) Prec@1 48.828 (47.611) Prec@5 74.219 (72.881)
Epoch: [71][4360/5005] Time 0.199 (0.210) Data 0.046 (0.047) Loss 2.1633 (2.2912) Prec@1 48.828 (47.613) Prec@5 74.609 (72.882)
Epoch: [71][4370/5005] Time 0.199 (0.210) Data 0.063 (0.048) Loss 2.2765 (2.2912) Prec@1 46.094 (47.613) Prec@5 73.047 (72.880)
Epoch: [71][4380/5005] Time 0.216 (0.210) Data 0.049 (0.048) Loss 2.3021 (2.2913) Prec@1 44.922 (47.610) Prec@5 71.875 (72.881)
Epoch: [71][4390/5005] Time 0.211 (0.210) Data 0.042 (0.048) Loss 2.4010 (2.2911) Prec@1 46.875 (47.613) Prec@5 68.750 (72.882)
Epoch: [71][4400/5005] Time 0.216 (0.210) Data 0.048 (0.048) Loss 2.3502 (2.2912) Prec@1 46.875 (47.612) Prec@5 73.047 (72.880)
Epoch: [71][4410/5005] Time 0.204 (0.210) Data 0.048 (0.048) Loss 2.2787 (2.2911) Prec@1 50.000 (47.613) Prec@5 73.047 (72.882)
Epoch: [71][4420/5005] Time 0.197 (0.210) Data 0.060 (0.048) Loss 2.1452 (2.2910) Prec@1 52.344 (47.614) Prec@5 73.047 (72.883)
Epoch: [71][4430/5005] Time 0.204 (0.210) Data 0.049 (0.048) Loss 2.2493 (2.2908) Prec@1 46.484 (47.621) Prec@5 72.266 (72.886)
Epoch: [71][4440/5005] Time 0.205 (0.210) Data 0.046 (0.048) Loss 2.3021 (2.2908) Prec@1 47.266 (47.622) Prec@5 75.391 (72.887)
Epoch: [71][4450/5005] Time 0.205 (0.210) Data 0.045 (0.048) Loss 2.0721 (2.2907) Prec@1 51.953 (47.622) Prec@5 75.391 (72.885)
Epoch: [71][4460/5005] Time 0.204 (0.210) Data 0.045 (0.048) Loss 2.3569 (2.2905) Prec@1 46.484 (47.624) Prec@5 70.703 (72.889)
Epoch: [71][4470/5005] Time 0.208 (0.210) Data 0.048 (0.048) Loss 2.2471 (2.2906) Prec@1 48.438 (47.624) Prec@5 74.609 (72.889)
Epoch: [71][4480/5005] Time 0.214 (0.210) Data 0.042 (0.048) Loss 2.0969 (2.2907) Prec@1 51.562 (47.624) Prec@5 75.391 (72.887)
Epoch: [71][4490/5005] Time 0.206 (0.210) Data 0.052 (0.048) Loss 2.3138 (2.2908) Prec@1 44.922 (47.622) Prec@5 71.484 (72.886)
Epoch: [71][4500/5005] Time 0.191 (0.210) Data 0.048 (0.048) Loss 2.1875 (2.2907) Prec@1 49.609 (47.624) Prec@5 72.656 (72.887)
Epoch: [71][4510/5005] Time 0.212 (0.210) Data 0.039 (0.048) Loss 2.1465 (2.2906) Prec@1 50.391 (47.624) Prec@5 72.266 (72.887)
Epoch: [71][4520/5005] Time 0.209 (0.210) Data 0.044 (0.048) Loss 2.2638 (2.2904) Prec@1 46.484 (47.627) Prec@5 74.219 (72.890)
Epoch: [71][4530/5005] Time 0.220 (0.210) Data 0.042 (0.048) Loss 2.1681 (2.2904) Prec@1 47.656 (47.630) Prec@5 76.172 (72.892)
Epoch: [71][4540/5005] Time 0.209 (0.210) Data 0.041 (0.048) Loss 2.3759 (2.2905) Prec@1 48.047 (47.628) Prec@5 70.312 (72.889)
Epoch: [71][4550/5005] Time 0.202 (0.210) Data 0.043 (0.048) Loss 2.4069 (2.2905) Prec@1 49.219 (47.629) Prec@5 71.875 (72.889)
Epoch: [71][4560/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.2691 (2.2904) Prec@1 47.266 (47.631) Prec@5 74.609 (72.891)
Epoch: [71][4570/5005] Time 0.202 (0.210) Data 0.043 (0.047) Loss 2.2879 (2.2903) Prec@1 49.219 (47.632) Prec@5 73.438 (72.892)
Epoch: [71][4580/5005] Time 0.204 (0.210) Data 0.041 (0.047) Loss 2.3480 (2.2902) Prec@1 46.094 (47.634) Prec@5 69.141 (72.894)
Epoch: [71][4590/5005] Time 0.202 (0.210) Data 0.044 (0.047) Loss 2.0771 (2.2903) Prec@1 54.297 (47.633) Prec@5 74.609 (72.894)
Epoch: [71][4600/5005] Time 0.196 (0.210) Data 0.048 (0.047) Loss 2.0299 (2.2903) Prec@1 54.297 (47.635) Prec@5 76.562 (72.892)
Epoch: [71][4610/5005] Time 0.214 (0.210) Data 0.050 (0.047) Loss 2.0362 (2.2902) Prec@1 48.047 (47.638) Prec@5 77.734 (72.894)
Epoch: [71][4620/5005] Time 0.208 (0.210) Data 0.046 (0.047) Loss 2.1986 (2.2901) Prec@1 48.047 (47.640) Prec@5 74.219 (72.894)
Epoch: [71][4630/5005] Time 0.197 (0.210) Data 0.045 (0.048) Loss 2.0637 (2.2900) Prec@1 53.125 (47.643) Prec@5 78.906 (72.897)
Epoch: [71][4640/5005] Time 0.214 (0.210) Data 0.044 (0.048) Loss 2.3096 (2.2900) Prec@1 48.438 (47.642) Prec@5 72.656 (72.899)
Epoch: [71][4650/5005] Time 0.204 (0.210) Data 0.040 (0.048) Loss 2.2174 (2.2899) Prec@1 46.484 (47.643) Prec@5 74.609 (72.899)
Epoch: [71][4660/5005] Time 0.204 (0.210) Data 0.041 (0.048) Loss 2.5189 (2.2899) Prec@1 44.531 (47.642) Prec@5 70.312 (72.900)
Epoch: [71][4670/5005] Time 0.214 (0.210) Data 0.040 (0.048) Loss 2.2951 (2.2899) Prec@1 48.438 (47.643) Prec@5 73.828 (72.900)
Epoch: [71][4680/5005] Time 0.213 (0.210) Data 0.052 (0.048) Loss 2.2114 (2.2899) Prec@1 49.219 (47.642) Prec@5 73.438 (72.898)
Epoch: [71][4690/5005] Time 0.209 (0.210) Data 0.041 (0.048) Loss 2.2559 (2.2899) Prec@1 46.094 (47.642) Prec@5 75.000 (72.900)
Epoch: [71][4700/5005] Time 0.214 (0.210) Data 0.044 (0.048) Loss 2.2743 (2.2899) Prec@1 48.438 (47.642) Prec@5 75.781 (72.901)
Epoch: [71][4710/5005] Time 0.201 (0.210) Data 0.046 (0.048) Loss 2.1068 (2.2897) Prec@1 50.781 (47.644) Prec@5 76.953 (72.905)
Epoch: [71][4720/5005] Time 0.195 (0.210) Data 0.050 (0.048) Loss 2.2300 (2.2895) Prec@1 49.219 (47.645) Prec@5 71.875 (72.907)
Epoch: [71][4730/5005] Time 0.199 (0.210) Data 0.047 (0.048) Loss 2.1886 (2.2896) Prec@1 50.000 (47.642) Prec@5 73.047 (72.904)
Epoch: [71][4740/5005] Time 0.201 (0.210) Data 0.065 (0.048) Loss 2.1826 (2.2895) Prec@1 51.172 (47.646) Prec@5 74.609 (72.908)
Epoch: [71][4750/5005] Time 0.197 (0.210) Data 0.051 (0.048) Loss 2.2236 (2.2895) Prec@1 50.391 (47.647) Prec@5 74.219 (72.909)
Epoch: [71][4760/5005] Time 0.203 (0.210) Data 0.051 (0.048) Loss 2.5167 (2.2893) Prec@1 44.141 (47.650) Prec@5 68.750 (72.912)
Epoch: [71][4770/5005] Time 0.220 (0.210) Data 0.042 (0.048) Loss 2.1843 (2.2893) Prec@1 49.219 (47.650) Prec@5 74.219 (72.914)
Epoch: [71][4780/5005] Time 0.197 (0.210) Data 0.058 (0.048) Loss 2.3088 (2.2892) Prec@1 46.875 (47.651) Prec@5 75.781 (72.914)
Epoch: [71][4790/5005] Time 0.207 (0.210) Data 0.063 (0.048) Loss 2.4257 (2.2893) Prec@1 47.656 (47.652) Prec@5 69.531 (72.913)
Epoch: [71][4800/5005] Time 0.206 (0.210) Data 0.056 (0.048) Loss 2.5026 (2.2892) Prec@1 42.188 (47.650) Prec@5 69.922 (72.914)
Epoch: [71][4810/5005] Time 0.204 (0.210) Data 0.043 (0.048) Loss 2.4775 (2.2892) Prec@1 44.531 (47.649) Prec@5 69.531 (72.913)
Epoch: [71][4820/5005] Time 0.209 (0.210) Data 0.044 (0.048) Loss 2.3962 (2.2891) Prec@1 44.531 (47.650) Prec@5 68.359 (72.913)
Epoch: [71][4830/5005] Time 0.207 (0.210) Data 0.047 (0.048) Loss 2.3012 (2.2890) Prec@1 46.484 (47.656) Prec@5 71.484 (72.914)
Epoch: [71][4840/5005] Time 0.208 (0.210) Data 0.044 (0.048) Loss 2.1453 (2.2891) Prec@1 50.781 (47.654) Prec@5 75.391 (72.912)
Epoch: [71][4850/5005] Time 0.212 (0.210) Data 0.045 (0.048) Loss 2.2938 (2.2892) Prec@1 45.703 (47.654) Prec@5 71.875 (72.910)
Epoch: [71][4860/5005] Time 0.201 (0.210) Data 0.041 (0.048) Loss 2.1854 (2.2891) Prec@1 50.781 (47.656) Prec@5 73.438 (72.911)
Epoch: [71][4870/5005] Time 0.208 (0.210) Data 0.043 (0.048) Loss 2.2160 (2.2891) Prec@1 51.172 (47.656) Prec@5 72.266 (72.909)
Epoch: [71][4880/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.1958 (2.2889) Prec@1 48.047 (47.660) Prec@5 74.609 (72.912)
Epoch: [71][4890/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.3507 (2.2888) Prec@1 47.656 (47.660) Prec@5 71.875 (72.912)
Epoch: [71][4900/5005] Time 0.206 (0.210) Data 0.060 (0.048) Loss 2.0657 (2.2888) Prec@1 48.438 (47.661) Prec@5 76.953 (72.913)
Epoch: [71][4910/5005] Time 0.205 (0.210) Data 0.044 (0.048) Loss 2.3083 (2.2887) Prec@1 45.703 (47.663) Prec@5 73.438 (72.915)
Epoch: [71][4920/5005] Time 0.206 (0.210) Data 0.046 (0.048) Loss 2.1886 (2.2886) Prec@1 47.266 (47.662) Prec@5 75.391 (72.915)
Epoch: [71][4930/5005] Time 0.199 (0.210) Data 0.047 (0.048) Loss 2.3499 (2.2884) Prec@1 47.656 (47.663) Prec@5 71.094 (72.919)
Epoch: [71][4940/5005] Time 0.206 (0.210) Data 0.062 (0.048) Loss 2.2808 (2.2884) Prec@1 52.734 (47.664) Prec@5 73.438 (72.918)
Epoch: [71][4950/5005] Time 0.200 (0.210) Data 0.046 (0.048) Loss 1.9793 (2.2885) Prec@1 51.172 (47.665) Prec@5 77.734 (72.917)
Epoch: [71][4960/5005] Time 0.206 (0.210) Data 0.045 (0.048) Loss 2.4536 (2.2884) Prec@1 49.219 (47.667) Prec@5 72.656 (72.918)
Epoch: [71][4970/5005] Time 0.204 (0.210) Data 0.051 (0.048) Loss 2.4239 (2.2884) Prec@1 43.750 (47.668) Prec@5 72.656 (72.921)
Epoch: [71][4980/5005] Time 0.220 (0.210) Data 0.047 (0.048) Loss 2.2575 (2.2882) Prec@1 49.609 (47.670) Prec@5 75.000 (72.923)
Epoch: [71][4990/5005] Time 0.204 (0.210) Data 0.026 (0.048) Loss 2.4243 (2.2882) Prec@1 43.359 (47.669) Prec@5 70.703 (72.922)
Epoch: [71][5000/5005] Time 0.206 (0.210) Data 0.021 (0.047) Loss 2.3844 (2.2882) Prec@1 44.531 (47.668) Prec@5 70.703 (72.923)
Test: [0/196] Time 1.721 (1.721) Loss 2.3914 (2.3914) Prec@1 48.438 (48.438) Prec@5 71.094 (71.094)
Test: [10/196] Time 0.044 (0.300) Loss 2.4477 (2.5248) Prec@1 45.312 (43.857) Prec@5 72.266 (69.673)
Test: [20/196] Time 0.042 (0.244) Loss 2.4131 (2.5270) Prec@1 44.531 (43.769) Prec@5 71.875 (69.568)
Test: [30/196] Time 0.134 (0.205) Loss 2.3942 (2.5330) Prec@1 42.969 (43.649) Prec@5 73.828 (69.292)
Test: [40/196] Time 0.042 (0.202) Loss 2.2759 (2.5273) Prec@1 49.609 (44.064) Prec@5 73.828 (69.245)
Test: [50/196] Time 0.042 (0.200) Loss 2.5978 (2.5301) Prec@1 44.141 (43.980) Prec@5 71.094 (69.347)
Test: [60/196] Time 0.045 (0.198) Loss 2.4481 (2.5165) Prec@1 48.438 (44.288) Prec@5 70.312 (69.442)
Test: [70/196] Time 0.044 (0.193) Loss 2.4403 (2.5110) Prec@1 50.000 (44.300) Prec@5 68.359 (69.460)
Test: [80/196] Time 0.545 (0.191) Loss 2.3690 (2.5173) Prec@1 50.781 (44.252) Prec@5 76.172 (69.497)
Test: [90/196] Time 0.835 (0.192) Loss 2.6421 (2.5204) Prec@1 44.141 (44.248) Prec@5 68.750 (69.454)
Test: [100/196] Time 0.044 (0.184) Loss 2.5723 (2.5187) Prec@1 45.312 (44.446) Prec@5 67.578 (69.524)
Test: [110/196] Time 0.043 (0.182) Loss 2.7250 (2.5211) Prec@1 41.797 (44.468) Prec@5 65.234 (69.538)
Test: [120/196] Time 0.052 (0.188) Loss 2.3509 (2.5185) Prec@1 44.531 (44.454) Prec@5 74.219 (69.635)
Test: [130/196] Time 0.276 (0.184) Loss 2.1674 (2.5154) Prec@1 48.438 (44.507) Prec@5 75.391 (69.731)
Test: [140/196] Time 0.044 (0.181) Loss 2.3693 (2.5177) Prec@1 46.875 (44.443) Prec@5 68.750 (69.617)
Test: [150/196] Time 0.047 (0.183) Loss 2.1910 (2.5173) Prec@1 46.875 (44.438) Prec@5 77.734 (69.668)
Test: [160/196] Time 0.044 (0.180) Loss 2.4806 (2.5167) Prec@1 50.000 (44.495) Prec@5 69.922 (69.674)
Test: [170/196] Time 0.044 (0.182) Loss 2.4071 (2.5184) Prec@1 45.703 (44.518) Prec@5 73.438 (69.643)
Test: [180/196] Time 0.821 (0.182) Loss 2.7451 (2.5228) Prec@1 39.062 (44.445) Prec@5 66.406 (69.577)
Test: [190/196] Time 0.049 (0.181) Loss 2.7378 (2.5264) Prec@1 40.625 (44.357) Prec@5 64.062 (69.433)
* Prec@1 44.366 Prec@5 69.446
Learning rate: 1e-05
Epoch: [72][0/5005] Time 1.154 (1.154) Data 1.062 (1.062) Loss 2.1804 (2.1804) Prec@1 49.219 (49.219) Prec@5 75.000 (75.000)
Epoch: [72][10/5005] Time 0.204 (0.291) Data 0.043 (0.138) Loss 2.2624 (2.3157) Prec@1 47.656 (46.982) Prec@5 75.781 (72.550)
Epoch: [72][20/5005] Time 0.201 (0.249) Data 0.042 (0.093) Loss 2.3618 (2.3221) Prec@1 50.391 (46.856) Prec@5 73.047 (72.414)
Epoch: [72][30/5005] Time 0.203 (0.235) Data 0.047 (0.078) Loss 2.2428 (2.2875) Prec@1 48.438 (47.417) Prec@5 70.703 (72.707)
Epoch: [72][40/5005] Time 0.206 (0.227) Data 0.043 (0.070) Loss 2.2544 (2.2929) Prec@1 46.875 (47.247) Prec@5 71.484 (72.732)
Epoch: [72][50/5005] Time 0.202 (0.223) Data 0.054 (0.065) Loss 2.0441 (2.2901) Prec@1 51.953 (47.197) Prec@5 80.469 (72.848)
Epoch: [72][60/5005] Time 0.203 (0.220) Data 0.046 (0.063) Loss 2.2113 (2.2949) Prec@1 49.609 (47.240) Prec@5 74.219 (72.727)
Epoch: [72][70/5005] Time 0.198 (0.217) Data 0.043 (0.060) Loss 2.2799 (2.3009) Prec@1 49.219 (47.266) Prec@5 74.219 (72.623)
Epoch: [72][80/5005] Time 0.201 (0.215) Data 0.045 (0.058) Loss 2.1519 (2.2961) Prec@1 50.391 (47.309) Prec@5 77.734 (72.719)
Epoch: [72][90/5005] Time 0.209 (0.214) Data 0.048 (0.058) Loss 2.3386 (2.2934) Prec@1 47.266 (47.493) Prec@5 73.828 (72.828)
Epoch: [72][100/5005] Time 0.201 (0.213) Data 0.062 (0.058) Loss 2.1377 (2.2945) Prec@1 47.656 (47.397) Prec@5 76.172 (72.795)
Epoch: [72][110/5005] Time 0.191 (0.211) Data 0.049 (0.057) Loss 2.3312 (2.2947) Prec@1 51.562 (47.526) Prec@5 69.922 (72.786)
Epoch: [72][120/5005] Time 0.205 (0.211) Data 0.051 (0.057) Loss 2.3991 (2.2993) Prec@1 46.094 (47.514) Prec@5 70.312 (72.653)
Epoch: [72][130/5005] Time 0.205 (0.210) Data 0.052 (0.056) Loss 2.4756 (2.3003) Prec@1 47.656 (47.495) Prec@5 68.750 (72.674)
Epoch: [72][140/5005] Time 0.208 (0.209) Data 0.043 (0.056) Loss 2.3419 (2.2976) Prec@1 48.438 (47.490) Prec@5 69.922 (72.634)
Epoch: [72][150/5005] Time 0.201 (0.209) Data 0.061 (0.055) Loss 2.4791 (2.2983) Prec@1 46.875 (47.537) Prec@5 67.969 (72.628)
Epoch: [72][160/5005] Time 0.199 (0.209) Data 0.040 (0.054) Loss 2.2366 (2.3012) Prec@1 47.656 (47.477) Prec@5 72.656 (72.605)
Epoch: [72][170/5005] Time 0.217 (0.209) Data 0.046 (0.054) Loss 2.3638 (2.3000) Prec@1 48.438 (47.531) Prec@5 70.312 (72.638)
Epoch: [72][180/5005] Time 0.213 (0.209) Data 0.042 (0.054) Loss 2.6474 (2.3030) Prec@1 41.797 (47.553) Prec@5 65.234 (72.538)
Epoch: [72][190/5005] Time 0.231 (0.209) Data 0.042 (0.054) Loss 2.4061 (2.3091) Prec@1 44.531 (47.401) Prec@5 69.922 (72.454)
Epoch: [72][200/5005] Time 0.223 (0.210) Data 0.049 (0.053) Loss 2.4207 (2.3098) Prec@1 44.141 (47.384) Prec@5 72.656 (72.460)
Epoch: [72][210/5005] Time 0.223 (0.211) Data 0.044 (0.053) Loss 2.1415 (2.3090) Prec@1 49.609 (47.397) Prec@5 75.391 (72.488)
Epoch: [72][220/5005] Time 0.220 (0.211) Data 0.048 (0.052) Loss 2.2960 (2.3089) Prec@1 45.312 (47.381) Prec@5 74.219 (72.495)
Epoch: [72][230/5005] Time 0.221 (0.211) Data 0.047 (0.052) Loss 2.3516 (2.3087) Prec@1 46.875 (47.413) Prec@5 73.047 (72.514)
Epoch: [72][240/5005] Time 0.211 (0.211) Data 0.045 (0.052) Loss 2.2564 (2.3074) Prec@1 49.609 (47.476) Prec@5 71.484 (72.535)
Epoch: [72][250/5005] Time 0.215 (0.212) Data 0.048 (0.052) Loss 2.3986 (2.3059) Prec@1 46.094 (47.536) Prec@5 73.828 (72.557)
Epoch: [72][260/5005] Time 0.208 (0.212) Data 0.049 (0.052) Loss 2.2479 (2.3054) Prec@1 46.094 (47.522) Prec@5 72.656 (72.599)
Epoch: [72][270/5005] Time 0.215 (0.212) Data 0.043 (0.052) Loss 2.3665 (2.3048) Prec@1 49.219 (47.564) Prec@5 71.094 (72.596)
Epoch: [72][280/5005] Time 0.214 (0.212) Data 0.049 (0.052) Loss 2.6533 (2.3083) Prec@1 38.672 (47.471) Prec@5 67.969 (72.555)
Epoch: [72][290/5005] Time 0.217 (0.212) Data 0.042 (0.052) Loss 2.2407 (2.3097) Prec@1 48.828 (47.441) Prec@5 71.484 (72.518)
Epoch: [72][300/5005] Time 0.200 (0.212) Data 0.049 (0.052) Loss 2.1692 (2.3093) Prec@1 50.781 (47.445) Prec@5 73.828 (72.513)
Epoch: [72][310/5005] Time 0.212 (0.212) Data 0.050 (0.051) Loss 2.2659 (2.3074) Prec@1 47.266 (47.475) Prec@5 75.000 (72.583)
Epoch: [72][320/5005] Time 0.216 (0.212) Data 0.046 (0.051) Loss 2.5098 (2.3075) Prec@1 43.359 (47.483) Prec@5 69.141 (72.601)
Epoch: [72][330/5005] Time 0.206 (0.212) Data 0.065 (0.051) Loss 2.0013 (2.3060) Prec@1 53.125 (47.518) Prec@5 78.516 (72.623)
Epoch: [72][340/5005] Time 0.206 (0.212) Data 0.054 (0.051) Loss 2.4686 (2.3086) Prec@1 48.438 (47.484) Prec@5 72.266 (72.594)
Epoch: [72][350/5005] Time 0.201 (0.212) Data 0.052 (0.051) Loss 2.4659 (2.3081) Prec@1 44.141 (47.489) Prec@5 69.141 (72.596)
Epoch: [72][360/5005] Time 0.220 (0.212) Data 0.042 (0.051) Loss 2.3647 (2.3073) Prec@1 44.531 (47.474) Prec@5 72.656 (72.616)
Epoch: [72][370/5005] Time 0.214 (0.212) Data 0.043 (0.051) Loss 2.2637 (2.3061) Prec@1 46.875 (47.480) Prec@5 73.047 (72.633)
Epoch: [72][380/5005] Time 0.212 (0.212) Data 0.047 (0.051) Loss 2.5381 (2.3064) Prec@1 46.094 (47.468) Prec@5 66.797 (72.621)
Epoch: [72][390/5005] Time 0.206 (0.212) Data 0.046 (0.051) Loss 2.3470 (2.3070) Prec@1 47.656 (47.464) Prec@5 73.047 (72.609)
Epoch: [72][400/5005] Time 0.219 (0.212) Data 0.046 (0.051) Loss 2.1971 (2.3059) Prec@1 44.922 (47.443) Prec@5 75.391 (72.640)
Epoch: [72][410/5005] Time 0.215 (0.212) Data 0.039 (0.050) Loss 2.1078 (2.3056) Prec@1 50.000 (47.469) Prec@5 78.125 (72.654)
Epoch: [72][420/5005] Time 0.211 (0.212) Data 0.043 (0.050) Loss 2.1554 (2.3051) Prec@1 47.266 (47.460) Prec@5 75.391 (72.674)
Epoch: [72][430/5005] Time 0.217 (0.212) Data 0.052 (0.050) Loss 2.1731 (2.3050) Prec@1 49.219 (47.451) Prec@5 76.172 (72.694)
Epoch: [72][440/5005] Time 0.207 (0.212) Data 0.046 (0.050) Loss 2.1486 (2.3045) Prec@1 51.172 (47.433) Prec@5 75.391 (72.714)
Epoch: [72][450/5005] Time 0.209 (0.212) Data 0.051 (0.050) Loss 2.1838 (2.3060) Prec@1 51.562 (47.418) Prec@5 74.219 (72.684)
Epoch: [72][460/5005] Time 0.207 (0.212) Data 0.056 (0.050) Loss 2.3639 (2.3073) Prec@1 44.531 (47.392) Prec@5 71.875 (72.652)
Epoch: [72][470/5005] Time 0.215 (0.212) Data 0.072 (0.050) Loss 2.3757 (2.3089) Prec@1 44.922 (47.379) Prec@5 72.266 (72.626)
Epoch: [72][480/5005] Time 0.211 (0.212) Data 0.052 (0.050) Loss 2.3725 (2.3086) Prec@1 48.438 (47.367) Prec@5 71.875 (72.638)
Epoch: [72][490/5005] Time 0.217 (0.212) Data 0.044 (0.050) Loss 2.1867 (2.3085) Prec@1 49.609 (47.351) Prec@5 73.828 (72.642)
Epoch: [72][500/5005] Time 0.208 (0.212) Data 0.047 (0.050) Loss 2.3700 (2.3100) Prec@1 43.359 (47.324) Prec@5 72.266 (72.620)
Epoch: [72][510/5005] Time 0.211 (0.212) Data 0.042 (0.050) Loss 2.6848 (2.3105) Prec@1 42.188 (47.310) Prec@5 67.188 (72.611)
Epoch: [72][520/5005] Time 0.207 (0.212) Data 0.046 (0.050) Loss 2.3769 (2.3101) Prec@1 42.969 (47.323) Prec@5 71.484 (72.615)
Epoch: [72][530/5005] Time 0.218 (0.212) Data 0.050 (0.050) Loss 2.3011 (2.3107) Prec@1 50.391 (47.320) Prec@5 71.875 (72.599)
Epoch: [72][540/5005] Time 0.206 (0.212) Data 0.043 (0.050) Loss 2.5276 (2.3110) Prec@1 44.531 (47.307) Prec@5 69.531 (72.591)
Epoch: [72][550/5005] Time 0.217 (0.212) Data 0.047 (0.050) Loss 2.3838 (2.3108) Prec@1 43.359 (47.302) Prec@5 73.438 (72.590)
Epoch: [72][560/5005] Time 0.212 (0.212) Data 0.063 (0.050) Loss 2.4930 (2.3105) Prec@1 46.094 (47.305) Prec@5 71.094 (72.614)
Epoch: [72][570/5005] Time 0.213 (0.212) Data 0.044 (0.050) Loss 2.4023 (2.3119) Prec@1 46.875 (47.277) Prec@5 72.656 (72.604)
Epoch: [72][580/5005] Time 0.215 (0.212) Data 0.043 (0.050) Loss 2.3133 (2.3114) Prec@1 45.312 (47.276) Prec@5 73.438 (72.615)
Epoch: [72][590/5005] Time 0.211 (0.212) Data 0.043 (0.050) Loss 2.5518 (2.3119) Prec@1 44.922 (47.265) Prec@5 69.141 (72.600)
Epoch: [72][600/5005] Time 0.212 (0.212) Data 0.046 (0.050) Loss 2.2720 (2.3125) Prec@1 48.438 (47.266) Prec@5 77.344 (72.593)
Epoch: [72][610/5005] Time 0.202 (0.212) Data 0.044 (0.050) Loss 2.2162 (2.3126) Prec@1 48.438 (47.261) Prec@5 73.438 (72.581)
Epoch: [72][620/5005] Time 0.212 (0.212) Data 0.058 (0.050) Loss 2.3229 (2.3126) Prec@1 48.438 (47.284) Prec@5 72.266 (72.585)
Epoch: [72][630/5005] Time 0.217 (0.212) Data 0.049 (0.050) Loss 2.5272 (2.3121) Prec@1 46.484 (47.297) Prec@5 70.312 (72.605)
Epoch: [72][640/5005] Time 0.223 (0.212) Data 0.045 (0.050) Loss 2.1460 (2.3118) Prec@1 51.562 (47.317) Prec@5 76.172 (72.617)
Epoch: [72][650/5005] Time 0.212 (0.212) Data 0.046 (0.050) Loss 2.3533 (2.3126) Prec@1 46.094 (47.311) Prec@5 70.312 (72.591)
Epoch: [72][660/5005] Time 0.205 (0.212) Data 0.048 (0.050) Loss 2.3817 (2.3118) Prec@1 44.531 (47.308) Prec@5 73.438 (72.617)
Epoch: [72][670/5005] Time 0.207 (0.212) Data 0.050 (0.050) Loss 2.4536 (2.3113) Prec@1 45.703 (47.322) Prec@5 69.531 (72.627)
Epoch: [72][680/5005] Time 0.215 (0.212) Data 0.043 (0.050) Loss 2.1554 (2.3117) Prec@1 48.438 (47.302) Prec@5 76.562 (72.608)
Epoch: [72][690/5005] Time 0.213 (0.212) Data 0.041 (0.050) Loss 2.1359 (2.3112) Prec@1 51.172 (47.324) Prec@5 76.562 (72.609)
Epoch: [72][700/5005] Time 0.210 (0.212) Data 0.051 (0.050) Loss 2.2597 (2.3106) Prec@1 48.438 (47.334) Prec@5 73.438 (72.613)
Epoch: [72][710/5005] Time 0.210 (0.212) Data 0.046 (0.050) Loss 2.1490 (2.3104) Prec@1 51.172 (47.334) Prec@5 73.047 (72.613)
Epoch: [72][720/5005] Time 0.208 (0.212) Data 0.053 (0.050) Loss 2.2739 (2.3093) Prec@1 48.828 (47.356) Prec@5 73.828 (72.628)
Epoch: [72][730/5005] Time 0.215 (0.212) Data 0.040 (0.050) Loss 2.4434 (2.3091) Prec@1 46.094 (47.369) Prec@5 69.922 (72.623)
Epoch: [72][740/5005] Time 0.207 (0.212) Data 0.057 (0.050) Loss 2.4096 (2.3090) Prec@1 44.922 (47.362) Prec@5 69.922 (72.612)
Epoch: [72][750/5005] Time 0.203 (0.212) Data 0.044 (0.050) Loss 2.1059 (2.3089) Prec@1 51.562 (47.351) Prec@5 74.219 (72.619)
Epoch: [72][760/5005] Time 0.217 (0.212) Data 0.043 (0.050) Loss 2.3675 (2.3095) Prec@1 46.484 (47.331) Prec@5 72.656 (72.614)
Epoch: [72][770/5005] Time 0.209 (0.212) Data 0.058 (0.050) Loss 2.3383 (2.3081) Prec@1 46.484 (47.355) Prec@5 70.703 (72.635)
Epoch: [72][780/5005] Time 0.211 (0.212) Data 0.057 (0.050) Loss 2.3610 (2.3079) Prec@1 48.047 (47.362) Prec@5 69.141 (72.627)
Epoch: [72][790/5005] Time 0.211 (0.212) Data 0.048 (0.050) Loss 2.3383 (2.3071) Prec@1 47.266 (47.372) Prec@5 71.094 (72.639)
Epoch: [72][800/5005] Time 0.198 (0.212) Data 0.053 (0.050) Loss 2.1769 (2.3064) Prec@1 44.141 (47.369) Prec@5 77.734 (72.652)
Epoch: [72][810/5005] Time 0.208 (0.212) Data 0.049 (0.050) Loss 2.4613 (2.3062) Prec@1 46.484 (47.373) Prec@5 66.406 (72.662)
Epoch: [72][820/5005] Time 0.208 (0.212) Data 0.054 (0.050) Loss 2.4667 (2.3061) Prec@1 42.188 (47.374) Prec@5 68.359 (72.660)
Epoch: [72][830/5005] Time 0.215 (0.212) Data 0.046 (0.050) Loss 2.2733 (2.3059) Prec@1 46.484 (47.373) Prec@5 73.828 (72.659)
Epoch: [72][840/5005] Time 0.217 (0.212) Data 0.041 (0.050) Loss 2.2639 (2.3062) Prec@1 48.828 (47.373) Prec@5 72.266 (72.653)
Epoch: [72][850/5005] Time 0.213 (0.212) Data 0.046 (0.050) Loss 2.5738 (2.3059) Prec@1 42.188 (47.381) Prec@5 68.359 (72.660)
Epoch: [72][860/5005] Time 0.212 (0.212) Data 0.043 (0.050) Loss 2.2940 (2.3064) Prec@1 51.172 (47.386) Prec@5 71.875 (72.651)
Epoch: [72][870/5005] Time 0.220 (0.212) Data 0.041 (0.050) Loss 2.3137 (2.3055) Prec@1 43.750 (47.403) Prec@5 70.703 (72.658)
Epoch: [72][880/5005] Time 0.215 (0.212) Data 0.044 (0.049) Loss 2.2338 (2.3060) Prec@1 46.875 (47.400) Prec@5 73.438 (72.658)
Epoch: [72][890/5005] Time 0.213 (0.212) Data 0.044 (0.049) Loss 2.5790 (2.3060) Prec@1 44.531 (47.388) Prec@5 69.531 (72.659)
Epoch: [72][900/5005] Time 0.219 (0.212) Data 0.046 (0.049) Loss 2.2518 (2.3056) Prec@1 45.312 (47.393) Prec@5 76.953 (72.673)
Epoch: [72][910/5005] Time 0.212 (0.212) Data 0.042 (0.049) Loss 2.2596 (2.3052) Prec@1 48.438 (47.401) Prec@5 76.172 (72.675)
Epoch: [72][920/5005] Time 0.212 (0.212) Data 0.043 (0.049) Loss 2.4752 (2.3048) Prec@1 44.922 (47.413) Prec@5 71.484 (72.685)
Epoch: [72][930/5005] Time 0.208 (0.212) Data 0.043 (0.049) Loss 2.3073 (2.3044) Prec@1 47.266 (47.413) Prec@5 73.047 (72.696)
Epoch: [72][940/5005] Time 0.212 (0.212) Data 0.044 (0.049) Loss 2.1705 (2.3046) Prec@1 47.656 (47.416) Prec@5 73.047 (72.689)
Epoch: [72][950/5005] Time 0.215 (0.212) Data 0.045 (0.049) Loss 2.4904 (2.3054) Prec@1 46.875 (47.405) Prec@5 70.312 (72.680)
Epoch: [72][960/5005] Time 0.213 (0.212) Data 0.043 (0.049) Loss 2.5739 (2.3060) Prec@1 47.656 (47.400) Prec@5 66.406 (72.671)
Epoch: [72][970/5005] Time 0.208 (0.212) Data 0.045 (0.049) Loss 2.0801 (2.3060) Prec@1 52.344 (47.398) Prec@5 76.953 (72.668)
Epoch: [72][980/5005] Time 0.211 (0.212) Data 0.043 (0.049) Loss 2.2166 (2.3052) Prec@1 50.000 (47.409) Prec@5 73.438 (72.682)
Epoch: [72][990/5005] Time 0.212 (0.212) Data 0.062 (0.049) Loss 2.3623 (2.3055) Prec@1 44.141 (47.395) Prec@5 71.875 (72.676)
Epoch: [72][1000/5005] Time 0.207 (0.212) Data 0.051 (0.049) Loss 2.3551 (2.3051) Prec@1 50.000 (47.408) Prec@5 72.266 (72.679)
Epoch: [72][1010/5005] Time 0.216 (0.212) Data 0.043 (0.049) Loss 2.3227 (2.3051) Prec@1 48.828 (47.408) Prec@5 71.094 (72.679)
Epoch: [72][1020/5005] Time 0.204 (0.212) Data 0.045 (0.049) Loss 2.1435 (2.3059) Prec@1 50.000 (47.404) Prec@5 78.516 (72.664)
Epoch: [72][1030/5005] Time 0.199 (0.212) Data 0.044 (0.049) Loss 2.2171 (2.3054) Prec@1 46.875 (47.402) Prec@5 74.219 (72.672)
Epoch: [72][1040/5005] Time 0.197 (0.213) Data 0.048 (0.049) Loss 2.3888 (2.3050) Prec@1 48.438 (47.407) Prec@5 75.391 (72.686)
Epoch: [72][1050/5005] Time 0.212 (0.213) Data 0.044 (0.049) Loss 2.4798 (2.3052) Prec@1 46.094 (47.392) Prec@5 67.578 (72.691)
Epoch: [72][1060/5005] Time 0.208 (0.213) Data 0.043 (0.049) Loss 2.4105 (2.3054) Prec@1 43.750 (47.387) Prec@5 73.047 (72.692)
Epoch: [72][1070/5005] Time 0.210 (0.213) Data 0.042 (0.049) Loss 2.2985 (2.3055) Prec@1 48.438 (47.376) Prec@5 74.219 (72.695)
Epoch: [72][1080/5005] Time 0.208 (0.213) Data 0.043 (0.049) Loss 2.3425 (2.3057) Prec@1 46.484 (47.376) Prec@5 72.656 (72.692)
Epoch: [72][1090/5005] Time 0.211 (0.213) Data 0.046 (0.049) Loss 2.2473 (2.3052) Prec@1 50.000 (47.380) Prec@5 71.094 (72.696)
Epoch: [72][1100/5005] Time 0.208 (0.213) Data 0.047 (0.049) Loss 2.2699 (2.3047) Prec@1 47.266 (47.387) Prec@5 73.438 (72.707)
Epoch: [72][1110/5005] Time 0.195 (0.212) Data 0.051 (0.049) Loss 2.4205 (2.3050) Prec@1 43.359 (47.388) Prec@5 69.922 (72.703)
Epoch: [72][1120/5005] Time 0.213 (0.212) Data 0.045 (0.049) Loss 2.1250 (2.3040) Prec@1 51.172 (47.402) Prec@5 71.484 (72.714)
Epoch: [72][1130/5005] Time 0.209 (0.212) Data 0.058 (0.049) Loss 2.3451 (2.3043) Prec@1 46.484 (47.406) Prec@5 73.047 (72.705)
Epoch: [72][1140/5005] Time 0.215 (0.212) Data 0.043 (0.049) Loss 2.3107 (2.3040) Prec@1 49.609 (47.406) Prec@5 74.609 (72.712)
Epoch: [72][1150/5005] Time 0.201 (0.212) Data 0.057 (0.049) Loss 2.2683 (2.3037) Prec@1 42.578 (47.407) Prec@5 74.609 (72.720)
Epoch: [72][1160/5005] Time 0.192 (0.212) Data 0.043 (0.049) Loss 2.3841 (2.3037) Prec@1 49.219 (47.410) Prec@5 71.484 (72.715)
Epoch: [72][1170/5005] Time 0.201 (0.212) Data 0.049 (0.049) Loss 2.1935 (2.3035) Prec@1 45.703 (47.405) Prec@5 73.828 (72.715)
Epoch: [72][1180/5005] Time 0.207 (0.212) Data 0.051 (0.049) Loss 2.3028 (2.3035) Prec@1 46.875 (47.392) Prec@5 71.875 (72.715)
Epoch: [72][1190/5005] Time 0.215 (0.212) Data 0.049 (0.049) Loss 2.2214 (2.3030) Prec@1 52.344 (47.412) Prec@5 75.781 (72.728)
Epoch: [72][1200/5005] Time 0.213 (0.212) Data 0.062 (0.049) Loss 2.5061 (2.3029) Prec@1 43.359 (47.413) Prec@5 69.922 (72.727)
Epoch: [72][1210/5005] Time 0.207 (0.212) Data 0.045 (0.049) Loss 2.2564 (2.3035) Prec@1 48.438 (47.403) Prec@5 73.047 (72.724)
Epoch: [72][1220/5005] Time 0.197 (0.212) Data 0.058 (0.049) Loss 2.2886 (2.3038) Prec@1 46.484 (47.393) Prec@5 70.703 (72.722)
Epoch: [72][1230/5005] Time 0.216 (0.212) Data 0.048 (0.049) Loss 2.3164 (2.3035) Prec@1 49.609 (47.393) Prec@5 73.047 (72.730)
Epoch: [72][1240/5005] Time 0.206 (0.212) Data 0.051 (0.049) Loss 2.2089 (2.3035) Prec@1 49.609 (47.397) Prec@5 72.656 (72.726)
Epoch: [72][1250/5005] Time 0.204 (0.212) Data 0.042 (0.049) Loss 2.4370 (2.3039) Prec@1 42.578 (47.388) Prec@5 71.875 (72.716)
Epoch: [72][1260/5005] Time 0.207 (0.212) Data 0.052 (0.049) Loss 2.0941 (2.3031) Prec@1 48.828 (47.399) Prec@5 75.391 (72.728)
Epoch: [72][1270/5005] Time 0.206 (0.212) Data 0.060 (0.049) Loss 2.4487 (2.3038) Prec@1 47.656 (47.401) Prec@5 69.531 (72.716)
Epoch: [72][1280/5005] Time 0.206 (0.212) Data 0.044 (0.049) Loss 2.3260 (2.3043) Prec@1 47.266 (47.387) Prec@5 72.266 (72.711)
Epoch: [72][1290/5005] Time 0.208 (0.212) Data 0.050 (0.049) Loss 2.1446 (2.3041) Prec@1 50.000 (47.397) Prec@5 75.000 (72.710)
Epoch: [72][1300/5005] Time 0.216 (0.212) Data 0.051 (0.049) Loss 2.0522 (2.3037) Prec@1 51.172 (47.411) Prec@5 75.000 (72.716)
Epoch: [72][1310/5005] Time 0.218 (0.212) Data 0.047 (0.049) Loss 2.3226 (2.3037) Prec@1 47.266 (47.417) Prec@5 71.484 (72.719)
Epoch: [72][1320/5005] Time 0.218 (0.212) Data 0.045 (0.049) Loss 2.4178 (2.3035) Prec@1 46.875 (47.424) Prec@5 71.875 (72.718)
Epoch: [72][1330/5005] Time 0.209 (0.212) Data 0.056 (0.049) Loss 2.4628 (2.3039) Prec@1 44.531 (47.420) Prec@5 71.484 (72.708)
Epoch: [72][1340/5005] Time 0.207 (0.212) Data 0.043 (0.049) Loss 2.2087 (2.3035) Prec@1 48.047 (47.427) Prec@5 75.781 (72.713)
Epoch: [72][1350/5005] Time 0.213 (0.212) Data 0.045 (0.049) Loss 2.6171 (2.3039) Prec@1 43.750 (47.423) Prec@5 67.969 (72.707)
Epoch: [72][1360/5005] Time 0.198 (0.212) Data 0.043 (0.049) Loss 2.1090 (2.3035) Prec@1 53.516 (47.427) Prec@5 75.000 (72.712)
Epoch: [72][1370/5005] Time 0.205 (0.212) Data 0.061 (0.049) Loss 2.3727 (2.3033) Prec@1 46.875 (47.427) Prec@5 73.438 (72.718)
Epoch: [72][1380/5005] Time 0.212 (0.212) Data 0.042 (0.049) Loss 2.4406 (2.3033) Prec@1 43.750 (47.425) Prec@5 69.531 (72.716)
Epoch: [72][1390/5005] Time 0.207 (0.212) Data 0.055 (0.049) Loss 2.2423 (2.3034) Prec@1 50.000 (47.432) Prec@5 71.875 (72.710)
Epoch: [72][1400/5005] Time 0.201 (0.212) Data 0.060 (0.049) Loss 2.3056 (2.3027) Prec@1 48.438 (47.445) Prec@5 73.828 (72.719)
Epoch: [72][1410/5005] Time 0.213 (0.212) Data 0.062 (0.049) Loss 2.2292 (2.3026) Prec@1 51.172 (47.445) Prec@5 75.000 (72.722)
Epoch: [72][1420/5005] Time 0.201 (0.212) Data 0.045 (0.049) Loss 2.4963 (2.3025) Prec@1 46.484 (47.449) Prec@5 67.969 (72.721)
Epoch: [72][1430/5005] Time 0.208 (0.212) Data 0.048 (0.049) Loss 2.1129 (2.3021) Prec@1 52.344 (47.458) Prec@5 75.781 (72.734)
Epoch: [72][1440/5005] Time 0.213 (0.212) Data 0.044 (0.049) Loss 2.1900 (2.3020) Prec@1 48.047 (47.452) Prec@5 76.953 (72.738)
Epoch: [72][1450/5005] Time 0.210 (0.212) Data 0.044 (0.049) Loss 2.1239 (2.3017) Prec@1 49.609 (47.456) Prec@5 74.219 (72.745)
Epoch: [72][1460/5005] Time 0.208 (0.212) Data 0.050 (0.049) Loss 2.2143 (2.3015) Prec@1 48.047 (47.457) Prec@5 71.094 (72.745)
Epoch: [72][1470/5005] Time 0.215 (0.212) Data 0.047 (0.049) Loss 2.4732 (2.3019) Prec@1 45.703 (47.459) Prec@5 69.141 (72.740)
Epoch: [72][1480/5005] Time 0.205 (0.212) Data 0.042 (0.049) Loss 2.1922 (2.3022) Prec@1 50.000 (47.456) Prec@5 73.828 (72.736)
Epoch: [72][1490/5005] Time 0.198 (0.212) Data 0.046 (0.049) Loss 2.4971 (2.3021) Prec@1 46.094 (47.456) Prec@5 69.141 (72.741)
Epoch: [72][1500/5005] Time 0.216 (0.212) Data 0.047 (0.049) Loss 2.2662 (2.3018) Prec@1 46.484 (47.454) Prec@5 75.000 (72.749)
Epoch: [72][1510/5005] Time 0.215 (0.212) Data 0.046 (0.049) Loss 2.1933 (2.3016) Prec@1 48.438 (47.458) Prec@5 72.656 (72.751)
Epoch: [72][1520/5005] Time 0.211 (0.212) Data 0.044 (0.049) Loss 2.2673 (2.3014) Prec@1 48.438 (47.455) Prec@5 72.266 (72.748)
Epoch: [72][1530/5005] Time 0.201 (0.212) Data 0.051 (0.049) Loss 2.4229 (2.3017) Prec@1 42.188 (47.448) Prec@5 70.312 (72.739)
Epoch: [72][1540/5005] Time 0.220 (0.212) Data 0.041 (0.049) Loss 2.4199 (2.3020) Prec@1 43.359 (47.439) Prec@5 68.359 (72.735)
Epoch: [72][1550/5005] Time 0.205 (0.212) Data 0.049 (0.049) Loss 2.1130 (2.3017) Prec@1 52.344 (47.445) Prec@5 75.391 (72.734)
Epoch: [72][1560/5005] Time 0.212 (0.211) Data 0.044 (0.049) Loss 2.1196 (2.3018) Prec@1 51.172 (47.449) Prec@5 74.219 (72.730)
Epoch: [72][1570/5005] Time 0.215 (0.212) Data 0.041 (0.049) Loss 2.1342 (2.3016) Prec@1 48.828 (47.456) Prec@5 75.781 (72.733)
Epoch: [72][1580/5005] Time 0.203 (0.211) Data 0.046 (0.049) Loss 2.2182 (2.3019) Prec@1 45.703 (47.443) Prec@5 76.562 (72.729)
Epoch: [72][1590/5005] Time 0.208 (0.211) Data 0.042 (0.049) Loss 2.3521 (2.3016) Prec@1 48.438 (47.448) Prec@5 72.266 (72.729)
Epoch: [72][1600/5005] Time 0.201 (0.211) Data 0.045 (0.049) Loss 2.3910 (2.3016) Prec@1 46.094 (47.447) Prec@5 71.094 (72.735)
Epoch: [72][1610/5005] Time 0.202 (0.211) Data 0.046 (0.048) Loss 2.4106 (2.3016) Prec@1 45.312 (47.448) Prec@5 72.656 (72.742)
Epoch: [72][1620/5005] Time 0.212 (0.211) Data 0.042 (0.048) Loss 2.4783 (2.3014) Prec@1 45.703 (47.450) Prec@5 70.703 (72.746)
Epoch: [72][1630/5005] Time 0.211 (0.211) Data 0.048 (0.048) Loss 2.1648 (2.3014) Prec@1 49.609 (47.446) Prec@5 74.219 (72.744)
Epoch: [72][1640/5005] Time 0.207 (0.211) Data 0.053 (0.048) Loss 2.3942 (2.3017) Prec@1 51.172 (47.446) Prec@5 69.922 (72.737)
Epoch: [72][1650/5005] Time 0.218 (0.211) Data 0.047 (0.048) Loss 2.4827 (2.3016) Prec@1 42.969 (47.446) Prec@5 67.188 (72.741)
Epoch: [72][1660/5005] Time 0.209 (0.211) Data 0.053 (0.048) Loss 2.2424 (2.3011) Prec@1 53.906 (47.465) Prec@5 73.047 (72.747)
Epoch: [72][1670/5005] Time 0.211 (0.211) Data 0.048 (0.048) Loss 2.1423 (2.3009) Prec@1 50.000 (47.471) Prec@5 74.219 (72.750)
Epoch: [72][1680/5005] Time 0.208 (0.211) Data 0.047 (0.048) Loss 2.4828 (2.3012) Prec@1 43.359 (47.465) Prec@5 71.875 (72.743)
Epoch: [72][1690/5005] Time 0.205 (0.211) Data 0.043 (0.048) Loss 2.1055 (2.3009) Prec@1 49.219 (47.466) Prec@5 74.609 (72.749)
Epoch: [72][1700/5005] Time 0.195 (0.211) Data 0.042 (0.048) Loss 2.2574 (2.3005) Prec@1 46.484 (47.479) Prec@5 76.953 (72.761)
Epoch: [72][1710/5005] Time 0.209 (0.211) Data 0.045 (0.048) Loss 2.2189 (2.3002) Prec@1 49.609 (47.484) Prec@5 70.312 (72.763)
Epoch: [72][1720/5005] Time 0.203 (0.211) Data 0.045 (0.048) Loss 2.5345 (2.3002) Prec@1 43.750 (47.488) Prec@5 69.531 (72.759)
Epoch: [72][1730/5005] Time 0.218 (0.211) Data 0.042 (0.048) Loss 2.3384 (2.3002) Prec@1 40.234 (47.486) Prec@5 73.828 (72.762)
Epoch: [72][1740/5005] Time 0.216 (0.211) Data 0.042 (0.048) Loss 2.3206 (2.2999) Prec@1 45.312 (47.492) Prec@5 73.438 (72.766)
Epoch: [72][1750/5005] Time 0.203 (0.211) Data 0.045 (0.048) Loss 2.1830 (2.2997) Prec@1 48.438 (47.500) Prec@5 75.000 (72.770)
Epoch: [72][1760/5005] Time 0.212 (0.211) Data 0.041 (0.048) Loss 1.9125 (2.2994) Prec@1 57.422 (47.509) Prec@5 79.688 (72.780)
Epoch: [72][1770/5005] Time 0.212 (0.211) Data 0.042 (0.048) Loss 2.3431 (2.2993) Prec@1 46.875 (47.513) Prec@5 73.047 (72.780)
Epoch: [72][1780/5005] Time 0.206 (0.211) Data 0.042 (0.048) Loss 2.0687 (2.2990) Prec@1 53.125 (47.523) Prec@5 76.172 (72.783)
Epoch: [72][1790/5005] Time 0.215 (0.211) Data 0.043 (0.048) Loss 2.2181 (2.2987) Prec@1 51.172 (47.526) Prec@5 71.484 (72.782)
Epoch: [72][1800/5005] Time 0.197 (0.211) Data 0.042 (0.048) Loss 2.2885 (2.2987) Prec@1 48.828 (47.526) Prec@5 71.094 (72.781)
Epoch: [72][1810/5005] Time 0.209 (0.211) Data 0.042 (0.048) Loss 2.1015 (2.2983) Prec@1 48.047 (47.527) Prec@5 74.219 (72.787)
Epoch: [72][1820/5005] Time 0.205 (0.211) Data 0.042 (0.048) Loss 2.3674 (2.2984) Prec@1 46.484 (47.525) Prec@5 72.266 (72.785)
Epoch: [72][1830/5005] Time 0.206 (0.211) Data 0.046 (0.048) Loss 2.1000 (2.2979) Prec@1 48.438 (47.531) Prec@5 75.000 (72.793)
Epoch: [72][1840/5005] Time 0.211 (0.211) Data 0.042 (0.048) Loss 2.3680 (2.2978) Prec@1 43.750 (47.530) Prec@5 70.703 (72.796)
Epoch: [72][1850/5005] Time 0.210 (0.211) Data 0.042 (0.048) Loss 2.2612 (2.2977) Prec@1 46.094 (47.529) Prec@5 73.047 (72.792)
Epoch: [72][1860/5005] Time 0.217 (0.211) Data 0.042 (0.048) Loss 2.2741 (2.2978) Prec@1 48.828 (47.525) Prec@5 70.703 (72.792)
Epoch: [72][1870/5005] Time 0.209 (0.211) Data 0.043 (0.048) Loss 2.5539 (2.2982) Prec@1 41.797 (47.516) Prec@5 70.312 (72.786)
Epoch: [72][1880/5005] Time 0.209 (0.211) Data 0.044 (0.048) Loss 2.3575 (2.2984) Prec@1 47.266 (47.512) Prec@5 72.266 (72.785)
Epoch: [72][1890/5005] Time 0.211 (0.211) Data 0.043 (0.048) Loss 2.3121 (2.2981) Prec@1 48.438 (47.517) Prec@5 73.828 (72.795)
Epoch: [72][1900/5005] Time 0.212 (0.211) Data 0.043 (0.048) Loss 2.3479 (2.2986) Prec@1 46.875 (47.507) Prec@5 73.828 (72.790)
Epoch: [72][1910/5005] Time 0.196 (0.211) Data 0.042 (0.048) Loss 2.2599 (2.2984) Prec@1 44.922 (47.514) Prec@5 74.219 (72.790)
Epoch: [72][1920/5005] Time 0.209 (0.211) Data 0.042 (0.048) Loss 2.1972 (2.2982) Prec@1 47.656 (47.512) Prec@5 75.781 (72.794)
Epoch: [72][1930/5005] Time 0.215 (0.211) Data 0.044 (0.048) Loss 2.2253 (2.2980) Prec@1 48.047 (47.516) Prec@5 75.391 (72.795)
Epoch: [72][1940/5005] Time 0.203 (0.211) Data 0.044 (0.048) Loss 2.1341 (2.2977) Prec@1 51.172 (47.516) Prec@5 73.828 (72.800)
Epoch: [72][1950/5005] Time 0.204 (0.211) Data 0.044 (0.048) Loss 2.3305 (2.2975) Prec@1 44.531 (47.526) Prec@5 70.703 (72.802)
Epoch: [72][1960/5005] Time 0.216 (0.211) Data 0.043 (0.048) Loss 2.2779 (2.2973) Prec@1 48.828 (47.535) Prec@5 75.000 (72.801)
Epoch: [72][1970/5005] Time 0.205 (0.211) Data 0.043 (0.048) Loss 2.3112 (2.2975) Prec@1 46.875 (47.529) Prec@5 70.703 (72.794)
Epoch: [72][1980/5005] Time 0.210 (0.211) Data 0.044 (0.048) Loss 2.0462 (2.2973) Prec@1 50.781 (47.533) Prec@5 76.562 (72.795)
Epoch: [72][1990/5005] Time 0.199 (0.211) Data 0.039 (0.048) Loss 2.1595 (2.2972) Prec@1 46.484 (47.531) Prec@5 73.828 (72.791)
Epoch: [72][2000/5005] Time 0.204 (0.212) Data 0.045 (0.048) Loss 2.1763 (2.2974) Prec@1 50.391 (47.527) Prec@5 74.609 (72.785)
Epoch: [72][2010/5005] Time 0.209 (0.211) Data 0.041 (0.048) Loss 2.1995 (2.2974) Prec@1 47.266 (47.526) Prec@5 72.266 (72.787)
Epoch: [72][2020/5005] Time 0.203 (0.211) Data 0.045 (0.048) Loss 2.2985 (2.2974) Prec@1 47.656 (47.521) Prec@5 71.875 (72.787)
Epoch: [72][2030/5005] Time 0.211 (0.211) Data 0.046 (0.048) Loss 2.1537 (2.2975) Prec@1 50.391 (47.525) Prec@5 74.219 (72.784)
Epoch: [72][2040/5005] Time 0.204 (0.211) Data 0.044 (0.048) Loss 2.0271 (2.2973) Prec@1 49.609 (47.526) Prec@5 78.906 (72.788)
Epoch: [72][2050/5005] Time 0.211 (0.211) Data 0.042 (0.048) Loss 2.4481 (2.2973) Prec@1 46.094 (47.526) Prec@5 70.312 (72.788)
Epoch: [72][2060/5005] Time 0.214 (0.211) Data 0.042 (0.048) Loss 2.2415 (2.2973) Prec@1 46.094 (47.525) Prec@5 71.875 (72.788)
Epoch: [72][2070/5005] Time 0.211 (0.211) Data 0.049 (0.048) Loss 2.5048 (2.2975) Prec@1 45.312 (47.522) Prec@5 69.531 (72.784)
Epoch: [72][2080/5005] Time 0.208 (0.211) Data 0.042 (0.048) Loss 2.2926 (2.2977) Prec@1 48.438 (47.519) Prec@5 75.391 (72.782)
Epoch: [72][2090/5005] Time 0.226 (0.211) Data 0.045 (0.048) Loss 2.0872 (2.2971) Prec@1 50.391 (47.525) Prec@5 77.344 (72.788)
Epoch: [72][2100/5005] Time 0.204 (0.211) Data 0.045 (0.048) Loss 2.3051 (2.2970) Prec@1 47.266 (47.530) Prec@5 73.438 (72.788)
Epoch: [72][2110/5005] Time 0.205 (0.211) Data 0.042 (0.048) Loss 2.1241 (2.2969) Prec@1 53.516 (47.535) Prec@5 76.953 (72.790)
Epoch: [72][2120/5005] Time 0.213 (0.211) Data 0.044 (0.048) Loss 2.4110 (2.2969) Prec@1 44.922 (47.535) Prec@5 71.094 (72.796)
Epoch: [72][2130/5005] Time 0.214 (0.211) Data 0.042 (0.048) Loss 2.4692 (2.2965) Prec@1 47.266 (47.544) Prec@5 69.141 (72.799)
Epoch: [72][2140/5005] Time 0.215 (0.211) Data 0.043 (0.048) Loss 2.2287 (2.2965) Prec@1 47.266 (47.548) Prec@5 76.172 (72.797)
Epoch: [72][2150/5005] Time 0.206 (0.211) Data 0.041 (0.048) Loss 2.1054 (2.2963) Prec@1 52.344 (47.550) Prec@5 73.047 (72.795)
Epoch: [72][2160/5005] Time 0.212 (0.211) Data 0.045 (0.048) Loss 2.2708 (2.2963) Prec@1 46.484 (47.549) Prec@5 73.438 (72.801)
Epoch: [72][2170/5005] Time 0.209 (0.211) Data 0.045 (0.048) Loss 2.1285 (2.2960) Prec@1 47.266 (47.554) Prec@5 75.391 (72.808)
Epoch: [72][2180/5005] Time 0.202 (0.211) Data 0.050 (0.048) Loss 2.3735 (2.2959) Prec@1 47.656 (47.552) Prec@5 68.750 (72.809)
Epoch: [72][2190/5005] Time 0.212 (0.211) Data 0.043 (0.048) Loss 2.5274 (2.2961) Prec@1 41.406 (47.546) Prec@5 66.406 (72.805)
Epoch: [72][2200/5005] Time 0.214 (0.211) Data 0.049 (0.048) Loss 2.2341 (2.2963) Prec@1 45.312 (47.537) Prec@5 75.000 (72.805)
Epoch: [72][2210/5005] Time 0.208 (0.211) Data 0.046 (0.048) Loss 2.4007 (2.2964) Prec@1 43.750 (47.532) Prec@5 70.703 (72.805)
Epoch: [72][2220/5005] Time 0.204 (0.211) Data 0.042 (0.048) Loss 2.3562 (2.2964) Prec@1 51.953 (47.532) Prec@5 70.703 (72.806)
Epoch: [72][2230/5005] Time 0.212 (0.211) Data 0.045 (0.048) Loss 2.1876 (2.2965) Prec@1 50.391 (47.529) Prec@5 77.734 (72.802)
Epoch: [72][2240/5005] Time 0.207 (0.211) Data 0.047 (0.048) Loss 2.2999 (2.2966) Prec@1 48.047 (47.526) Prec@5 74.219 (72.803)
Epoch: [72][2250/5005] Time 0.209 (0.211) Data 0.046 (0.048) Loss 2.0612 (2.2966) Prec@1 52.344 (47.527) Prec@5 76.172 (72.801)
Epoch: [72][2260/5005] Time 0.217 (0.211) Data 0.043 (0.048) Loss 2.0912 (2.2960) Prec@1 49.609 (47.535) Prec@5 78.516 (72.812)
Epoch: [72][2270/5005] Time 0.195 (0.211) Data 0.046 (0.048) Loss 2.4959 (2.2959) Prec@1 44.531 (47.539) Prec@5 68.750 (72.814)
Epoch: [72][2280/5005] Time 0.201 (0.211) Data 0.049 (0.048) Loss 2.2476 (2.2960) Prec@1 49.609 (47.538) Prec@5 74.609 (72.813)
Epoch: [72][2290/5005] Time 0.207 (0.211) Data 0.051 (0.048) Loss 2.0807 (2.2959) Prec@1 50.781 (47.540) Prec@5 76.172 (72.818)
Epoch: [72][2300/5005] Time 0.215 (0.211) Data 0.047 (0.048) Loss 2.1749 (2.2958) Prec@1 48.438 (47.539) Prec@5 74.219 (72.822)
Epoch: [72][2310/5005] Time 0.212 (0.211) Data 0.041 (0.048) Loss 2.1512 (2.2957) Prec@1 50.391 (47.544) Prec@5 75.000 (72.823)
Epoch: [72][2320/5005] Time 0.221 (0.211) Data 0.043 (0.048) Loss 2.4302 (2.2957) Prec@1 47.266 (47.544) Prec@5 71.875 (72.822)
Epoch: [72][2330/5005] Time 0.209 (0.211) Data 0.046 (0.048) Loss 2.1875 (2.2957) Prec@1 51.562 (47.547) Prec@5 73.828 (72.822)
Epoch: [72][2340/5005] Time 0.197 (0.211) Data 0.044 (0.048) Loss 2.2755 (2.2954) Prec@1 47.656 (47.550) Prec@5 75.000 (72.827)
Epoch: [72][2350/5005] Time 0.206 (0.211) Data 0.044 (0.048) Loss 2.1517 (2.2951) Prec@1 47.656 (47.554) Prec@5 76.172 (72.827)
Epoch: [72][2360/5005] Time 0.201 (0.211) Data 0.057 (0.048) Loss 2.2046 (2.2949) Prec@1 45.312 (47.555) Prec@5 73.828 (72.828)
Epoch: [72][2370/5005] Time 0.205 (0.211) Data 0.062 (0.048) Loss 2.2692 (2.2952) Prec@1 47.656 (47.549) Prec@5 71.094 (72.823)
Epoch: [72][2380/5005] Time 0.210 (0.211) Data 0.042 (0.048) Loss 2.3042 (2.2950) Prec@1 48.438 (47.550) Prec@5 75.391 (72.825)
Epoch: [72][2390/5005] Time 0.212 (0.211) Data 0.043 (0.048) Loss 2.2251 (2.2949) Prec@1 52.734 (47.553) Prec@5 76.172 (72.829)
Epoch: [72][2400/5005] Time 0.205 (0.211) Data 0.050 (0.048) Loss 2.1986 (2.2947) Prec@1 47.656 (47.555) Prec@5 74.219 (72.834)
Epoch: [72][2410/5005] Time 0.205 (0.211) Data 0.047 (0.048) Loss 2.5552 (2.2946) Prec@1 41.797 (47.560) Prec@5 66.406 (72.833)
Epoch: [72][2420/5005] Time 0.205 (0.211) Data 0.044 (0.048) Loss 2.3383 (2.2944) Prec@1 44.531 (47.564) Prec@5 73.047 (72.838)
Epoch: [72][2430/5005] Time 0.202 (0.211) Data 0.043 (0.048) Loss 2.3204 (2.2946) Prec@1 48.438 (47.564) Prec@5 72.656 (72.836)
Epoch: [72][2440/5005] Time 0.200 (0.211) Data 0.050 (0.048) Loss 2.0873 (2.2946) Prec@1 49.609 (47.568) Prec@5 77.734 (72.835)
Epoch: [72][2450/5005] Time 0.209 (0.211) Data 0.054 (0.048) Loss 2.1812 (2.2944) Prec@1 49.219 (47.574) Prec@5 74.219 (72.838)
Epoch: [72][2460/5005] Time 0.200 (0.211) Data 0.047 (0.048) Loss 2.3572 (2.2943) Prec@1 49.609 (47.579) Prec@5 70.312 (72.841)
Epoch: [72][2470/5005] Time 0.196 (0.211) Data 0.064 (0.048) Loss 2.2270 (2.2940) Prec@1 46.484 (47.581) Prec@5 76.953 (72.843)
Epoch: [72][2480/5005] Time 0.219 (0.211) Data 0.044 (0.048) Loss 2.3187 (2.2941) Prec@1 47.266 (47.581) Prec@5 72.656 (72.841)
Epoch: [72][2490/5005] Time 0.203 (0.211) Data 0.053 (0.048) Loss 2.0344 (2.2941) Prec@1 53.516 (47.581) Prec@5 75.781 (72.843)
Epoch: [72][2500/5005] Time 0.214 (0.211) Data 0.045 (0.048) Loss 2.3159 (2.2940) Prec@1 45.703 (47.584) Prec@5 71.875 (72.844)
Epoch: [72][2510/5005] Time 0.209 (0.211) Data 0.048 (0.048) Loss 2.4006 (2.2941) Prec@1 46.094 (47.577) Prec@5 71.875 (72.842)
Epoch: [72][2520/5005] Time 0.212 (0.211) Data 0.041 (0.048) Loss 2.2134 (2.2940) Prec@1 48.828 (47.580) Prec@5 75.391 (72.847)
Epoch: [72][2530/5005] Time 0.208 (0.211) Data 0.043 (0.048) Loss 2.4456 (2.2940) Prec@1 44.141 (47.579) Prec@5 67.969 (72.843)
Epoch: [72][2540/5005] Time 0.206 (0.211) Data 0.041 (0.048) Loss 2.2860 (2.2939) Prec@1 44.531 (47.578) Prec@5 73.828 (72.844)
Epoch: [72][2550/5005] Time 0.209 (0.211) Data 0.042 (0.048) Loss 2.3181 (2.2939) Prec@1 45.312 (47.578) Prec@5 72.266 (72.844)
Epoch: [72][2560/5005] Time 0.216 (0.211) Data 0.044 (0.048) Loss 2.5982 (2.2941) Prec@1 41.406 (47.577) Prec@5 68.359 (72.843)
Epoch: [72][2570/5005] Time 0.208 (0.211) Data 0.046 (0.048) Loss 2.3789 (2.2942) Prec@1 43.750 (47.575) Prec@5 71.094 (72.838)
Epoch: [72][2580/5005] Time 0.211 (0.211) Data 0.056 (0.048) Loss 2.4044 (2.2945) Prec@1 44.922 (47.567) Prec@5 71.094 (72.831)
Epoch: [72][2590/5005] Time 0.211 (0.211) Data 0.044 (0.048) Loss 2.4387 (2.2945) Prec@1 46.094 (47.570) Prec@5 69.531 (72.829)
Epoch: [72][2600/5005] Time 0.210 (0.211) Data 0.045 (0.048) Loss 2.3019 (2.2947) Prec@1 50.000 (47.567) Prec@5 75.391 (72.827)
Epoch: [72][2610/5005] Time 0.209 (0.211) Data 0.050 (0.048) Loss 2.4245 (2.2945) Prec@1 48.047 (47.573) Prec@5 73.828 (72.829)
Epoch: [72][2620/5005] Time 0.211 (0.211) Data 0.047 (0.048) Loss 2.2268 (2.2946) Prec@1 46.875 (47.575) Prec@5 72.656 (72.829)
Epoch: [72][2630/5005] Time 0.209 (0.211) Data 0.041 (0.048) Loss 2.5001 (2.2950) Prec@1 46.094 (47.572) Prec@5 67.969 (72.824)
Epoch: [72][2640/5005] Time 0.204 (0.211) Data 0.045 (0.048) Loss 2.3962 (2.2950) Prec@1 45.312 (47.570) Prec@5 69.531 (72.819)
Epoch: [72][2650/5005] Time 0.208 (0.211) Data 0.046 (0.048) Loss 2.4613 (2.2950) Prec@1 43.359 (47.571) Prec@5 70.703 (72.820)
Epoch: [72][2660/5005] Time 0.212 (0.211) Data 0.041 (0.048) Loss 2.2883 (2.2949) Prec@1 49.609 (47.570) Prec@5 73.438 (72.820)
Epoch: [72][2670/5005] Time 0.210 (0.211) Data 0.043 (0.048) Loss 1.9992 (2.2947) Prec@1 53.125 (47.573) Prec@5 77.734 (72.824)
Epoch: [72][2680/5005] Time 0.211 (0.211) Data 0.044 (0.048) Loss 2.1607 (2.2946) Prec@1 52.734 (47.575) Prec@5 76.953 (72.823)
Epoch: [72][2690/5005] Time 0.211 (0.211) Data 0.049 (0.048) Loss 2.1498 (2.2946) Prec@1 52.344 (47.575) Prec@5 76.172 (72.823)
Epoch: [72][2700/5005] Time 0.210 (0.211) Data 0.049 (0.048) Loss 2.2135 (2.2945) Prec@1 47.656 (47.570) Prec@5 72.266 (72.822)
Epoch: [72][2710/5005] Time 0.201 (0.211) Data 0.049 (0.048) Loss 2.0995 (2.2948) Prec@1 54.297 (47.566) Prec@5 76.172 (72.819)
Epoch: [72][2720/5005] Time 0.204 (0.211) Data 0.049 (0.048) Loss 2.0056 (2.2947) Prec@1 53.516 (47.565) Prec@5 77.344 (72.821)
Epoch: [72][2730/5005] Time 0.211 (0.211) Data 0.055 (0.048) Loss 2.2919 (2.2945) Prec@1 44.922 (47.566) Prec@5 69.922 (72.821)
Epoch: [72][2740/5005] Time 0.204 (0.211) Data 0.048 (0.048) Loss 2.2761 (2.2944) Prec@1 52.344 (47.571) Prec@5 73.828 (72.821)
Epoch: [72][2750/5005] Time 0.204 (0.211) Data 0.048 (0.048) Loss 2.2492 (2.2943) Prec@1 46.484 (47.571) Prec@5 73.438 (72.823)
Epoch: [72][2760/5005] Time 0.203 (0.210) Data 0.047 (0.048) Loss 2.2010 (2.2942) Prec@1 48.047 (47.572) Prec@5 73.047 (72.822)
Epoch: [72][2770/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.2480 (2.2942) Prec@1 45.312 (47.575) Prec@5 72.656 (72.823)
Epoch: [72][2780/5005] Time 0.212 (0.210) Data 0.046 (0.048) Loss 2.5144 (2.2942) Prec@1 42.969 (47.578) Prec@5 68.750 (72.820)
Epoch: [72][2790/5005] Time 0.207 (0.210) Data 0.042 (0.048) Loss 2.4672 (2.2942) Prec@1 38.281 (47.578) Prec@5 71.094 (72.820)
Epoch: [72][2800/5005] Time 0.208 (0.210) Data 0.048 (0.048) Loss 2.0465 (2.2942) Prec@1 53.125 (47.584) Prec@5 77.344 (72.823)
Epoch: [72][2810/5005] Time 0.208 (0.210) Data 0.051 (0.048) Loss 2.4677 (2.2942) Prec@1 42.188 (47.582) Prec@5 70.312 (72.821)
Epoch: [72][2820/5005] Time 0.205 (0.210) Data 0.041 (0.048) Loss 1.9673 (2.2939) Prec@1 50.781 (47.584) Prec@5 81.250 (72.827)
Epoch: [72][2830/5005] Time 0.204 (0.210) Data 0.048 (0.048) Loss 2.5122 (2.2939) Prec@1 45.703 (47.586) Prec@5 68.750 (72.827)
Epoch: [72][2840/5005] Time 0.220 (0.210) Data 0.046 (0.048) Loss 2.4577 (2.2939) Prec@1 46.094 (47.586) Prec@5 69.922 (72.827)
Epoch: [72][2850/5005] Time 0.212 (0.210) Data 0.042 (0.048) Loss 2.2302 (2.2939) Prec@1 50.000 (47.585) Prec@5 74.219 (72.829)
Epoch: [72][2860/5005] Time 0.210 (0.210) Data 0.048 (0.048) Loss 2.3419 (2.2940) Prec@1 48.828 (47.588) Prec@5 69.922 (72.828)
Epoch: [72][2870/5005] Time 0.210 (0.210) Data 0.045 (0.048) Loss 2.1131 (2.2937) Prec@1 50.391 (47.594) Prec@5 78.125 (72.836)
Epoch: [72][2880/5005] Time 0.200 (0.210) Data 0.045 (0.048) Loss 2.3423 (2.2938) Prec@1 45.312 (47.593) Prec@5 74.219 (72.832)
Epoch: [72][2890/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.2830 (2.2936) Prec@1 44.922 (47.597) Prec@5 73.828 (72.834)
Epoch: [72][2900/5005] Time 0.211 (0.210) Data 0.046 (0.048) Loss 1.9580 (2.2933) Prec@1 56.641 (47.608) Prec@5 76.953 (72.840)
Epoch: [72][2910/5005] Time 0.215 (0.210) Data 0.043 (0.048) Loss 2.2008 (2.2933) Prec@1 50.000 (47.611) Prec@5 74.609 (72.842)
Epoch: [72][2920/5005] Time 0.207 (0.210) Data 0.045 (0.048) Loss 2.3133 (2.2932) Prec@1 48.438 (47.609) Prec@5 71.094 (72.845)
Epoch: [72][2930/5005] Time 0.210 (0.210) Data 0.041 (0.048) Loss 2.3801 (2.2932) Prec@1 43.750 (47.610) Prec@5 71.094 (72.845)
Epoch: [72][2940/5005] Time 0.212 (0.210) Data 0.062 (0.048) Loss 2.1889 (2.2929) Prec@1 50.391 (47.614) Prec@5 75.000 (72.851)
Epoch: [72][2950/5005] Time 0.198 (0.210) Data 0.038 (0.048) Loss 2.4844 (2.2927) Prec@1 40.625 (47.617) Prec@5 71.094 (72.859)
Epoch: [72][2960/5005] Time 0.206 (0.210) Data 0.052 (0.048) Loss 2.2467 (2.2927) Prec@1 49.609 (47.615) Prec@5 71.094 (72.858)
Epoch: [72][2970/5005] Time 0.203 (0.210) Data 0.044 (0.048) Loss 2.3479 (2.2925) Prec@1 42.578 (47.618) Prec@5 72.656 (72.861)
Epoch: [72][2980/5005] Time 0.210 (0.210) Data 0.045 (0.048) Loss 2.3384 (2.2925) Prec@1 44.531 (47.616) Prec@5 75.000 (72.861)
Epoch: [72][2990/5005] Time 0.200 (0.210) Data 0.058 (0.048) Loss 2.1881 (2.2925) Prec@1 48.828 (47.611) Prec@5 73.828 (72.862)
Epoch: [72][3000/5005] Time 0.213 (0.210) Data 0.045 (0.048) Loss 2.3637 (2.2924) Prec@1 46.484 (47.612) Prec@5 72.656 (72.863)
Epoch: [72][3010/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.2044 (2.2925) Prec@1 48.438 (47.610) Prec@5 74.609 (72.860)
Epoch: [72][3020/5005] Time 0.207 (0.210) Data 0.044 (0.048) Loss 2.2511 (2.2925) Prec@1 44.531 (47.609) Prec@5 75.000 (72.860)
Epoch: [72][3030/5005] Time 0.209 (0.210) Data 0.042 (0.048) Loss 2.3468 (2.2926) Prec@1 50.391 (47.608) Prec@5 75.000 (72.860)
Epoch: [72][3040/5005] Time 0.198 (0.210) Data 0.053 (0.048) Loss 2.0779 (2.2925) Prec@1 53.906 (47.612) Prec@5 73.047 (72.858)
Epoch: [72][3050/5005] Time 0.201 (0.210) Data 0.048 (0.048) Loss 2.3451 (2.2925) Prec@1 45.703 (47.609) Prec@5 73.828 (72.859)
Epoch: [72][3060/5005] Time 0.191 (0.210) Data 0.045 (0.048) Loss 2.2214 (2.2923) Prec@1 49.609 (47.610) Prec@5 73.438 (72.862)
Epoch: [72][3070/5005] Time 0.207 (0.210) Data 0.044 (0.048) Loss 2.1708 (2.2926) Prec@1 50.000 (47.608) Prec@5 75.000 (72.857)
Epoch: [72][3080/5005] Time 0.208 (0.210) Data 0.049 (0.048) Loss 2.1502 (2.2925) Prec@1 50.391 (47.605) Prec@5 75.000 (72.857)
Epoch: [72][3090/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.5723 (2.2926) Prec@1 38.281 (47.603) Prec@5 69.141 (72.858)
Epoch: [72][3100/5005] Time 0.207 (0.210) Data 0.045 (0.048) Loss 2.3321 (2.2927) Prec@1 47.266 (47.599) Prec@5 71.484 (72.855)
Epoch: [72][3110/5005] Time 0.207 (0.210) Data 0.044 (0.048) Loss 2.1091 (2.2925) Prec@1 50.391 (47.602) Prec@5 75.391 (72.858)
Epoch: [72][3120/5005] Time 0.207 (0.210) Data 0.045 (0.048) Loss 2.4858 (2.2926) Prec@1 41.406 (47.599) Prec@5 69.531 (72.857)
Epoch: [72][3130/5005] Time 0.205 (0.210) Data 0.044 (0.048) Loss 2.4026 (2.2925) Prec@1 43.359 (47.599) Prec@5 73.047 (72.857)
Epoch: [72][3140/5005] Time 0.207 (0.210) Data 0.047 (0.048) Loss 2.0973 (2.2924) Prec@1 51.562 (47.602) Prec@5 75.781 (72.856)
Epoch: [72][3150/5005] Time 0.205 (0.210) Data 0.043 (0.048) Loss 2.2549 (2.2924) Prec@1 50.781 (47.607) Prec@5 71.875 (72.852)
Epoch: [72][3160/5005] Time 0.217 (0.210) Data 0.048 (0.048) Loss 2.1274 (2.2923) Prec@1 51.953 (47.610) Prec@5 76.172 (72.852)
Epoch: [72][3170/5005] Time 0.209 (0.210) Data 0.046 (0.048) Loss 2.2811 (2.2923) Prec@1 46.484 (47.613) Prec@5 72.656 (72.854)
Epoch: [72][3180/5005] Time 0.209 (0.210) Data 0.042 (0.048) Loss 2.0907 (2.2923) Prec@1 54.297 (47.613) Prec@5 75.000 (72.853)
Epoch: [72][3190/5005] Time 0.208 (0.210) Data 0.041 (0.048) Loss 2.3427 (2.2924) Prec@1 47.266 (47.616) Prec@5 70.312 (72.854)
Epoch: [72][3200/5005] Time 0.195 (0.210) Data 0.042 (0.048) Loss 2.2904 (2.2923) Prec@1 46.094 (47.618) Prec@5 69.531 (72.852)
Epoch: [72][3210/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.4289 (2.2923) Prec@1 47.266 (47.619) Prec@5 69.922 (72.852)
Epoch: [72][3220/5005] Time 0.206 (0.210) Data 0.042 (0.048) Loss 2.2297 (2.2924) Prec@1 51.562 (47.616) Prec@5 73.047 (72.850)
Epoch: [72][3230/5005] Time 0.212 (0.210) Data 0.050 (0.048) Loss 2.2790 (2.2922) Prec@1 45.703 (47.619) Prec@5 73.828 (72.855)
Epoch: [72][3240/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.5700 (2.2927) Prec@1 42.969 (47.614) Prec@5 69.922 (72.844)
Epoch: [72][3250/5005] Time 0.193 (0.210) Data 0.053 (0.048) Loss 2.2010 (2.2927) Prec@1 47.656 (47.614) Prec@5 76.562 (72.845)
Epoch: [72][3260/5005] Time 0.210 (0.210) Data 0.042 (0.048) Loss 2.3163 (2.2928) Prec@1 48.438 (47.610) Prec@5 70.703 (72.843)
Epoch: [72][3270/5005] Time 0.217 (0.210) Data 0.047 (0.048) Loss 2.4835 (2.2926) Prec@1 40.234 (47.612) Prec@5 68.750 (72.846)
Epoch: [72][3280/5005] Time 0.209 (0.210) Data 0.046 (0.048) Loss 2.2018 (2.2926) Prec@1 50.781 (47.615) Prec@5 74.219 (72.844)
Epoch: [72][3290/5005] Time 0.213 (0.210) Data 0.049 (0.048) Loss 2.3583 (2.2926) Prec@1 47.266 (47.615) Prec@5 69.922 (72.841)
Epoch: [72][3300/5005] Time 0.208 (0.210) Data 0.049 (0.048) Loss 2.2332 (2.2926) Prec@1 48.438 (47.616) Prec@5 71.484 (72.839)
Epoch: [72][3310/5005] Time 0.199 (0.210) Data 0.042 (0.048) Loss 2.1640 (2.2926) Prec@1 47.266 (47.612) Prec@5 76.562 (72.839)
Epoch: [72][3320/5005] Time 0.201 (0.210) Data 0.061 (0.048) Loss 2.3630 (2.2926) Prec@1 45.703 (47.609) Prec@5 71.094 (72.839)
Epoch: [72][3330/5005] Time 0.217 (0.210) Data 0.043 (0.048) Loss 2.3395 (2.2927) Prec@1 45.703 (47.611) Prec@5 72.656 (72.839)
Epoch: [72][3340/5005] Time 0.204 (0.210) Data 0.045 (0.048) Loss 2.5122 (2.2927) Prec@1 44.922 (47.611) Prec@5 69.531 (72.841)
Epoch: [72][3350/5005] Time 0.204 (0.210) Data 0.041 (0.048) Loss 2.3743 (2.2925) Prec@1 45.703 (47.611) Prec@5 71.094 (72.842)
Epoch: [72][3360/5005] Time 0.203 (0.210) Data 0.052 (0.048) Loss 2.1524 (2.2925) Prec@1 47.656 (47.610) Prec@5 76.172 (72.844)
Epoch: [72][3370/5005] Time 0.204 (0.210) Data 0.044 (0.048) Loss 2.3874 (2.2926) Prec@1 44.531 (47.610) Prec@5 70.312 (72.843)
Epoch: [72][3380/5005] Time 0.213 (0.210) Data 0.051 (0.048) Loss 2.2785 (2.2926) Prec@1 49.609 (47.608) Prec@5 71.875 (72.843)
Epoch: [72][3390/5005] Time 0.206 (0.210) Data 0.041 (0.048) Loss 2.1771 (2.2927) Prec@1 48.828 (47.604) Prec@5 74.609 (72.841)
Epoch: [72][3400/5005] Time 0.203 (0.210) Data 0.043 (0.048) Loss 2.1819 (2.2928) Prec@1 50.781 (47.604) Prec@5 73.828 (72.838)
Epoch: [72][3410/5005] Time 0.215 (0.210) Data 0.042 (0.048) Loss 2.1426 (2.2927) Prec@1 51.172 (47.608) Prec@5 75.391 (72.841)
Epoch: [72][3420/5005] Time 0.206 (0.210) Data 0.048 (0.048) Loss 2.1948 (2.2928) Prec@1 47.656 (47.603) Prec@5 74.609 (72.839)
Epoch: [72][3430/5005] Time 0.207 (0.210) Data 0.047 (0.048) Loss 2.2603 (2.2927) Prec@1 44.922 (47.608) Prec@5 73.047 (72.840)
Epoch: [72][3440/5005] Time 0.187 (0.210) Data 0.059 (0.048) Loss 2.2435 (2.2925) Prec@1 51.172 (47.609) Prec@5 74.219 (72.842)
Epoch: [72][3450/5005] Time 0.205 (0.210) Data 0.046 (0.048) Loss 2.1521 (2.2925) Prec@1 48.828 (47.607) Prec@5 75.000 (72.842)
Epoch: [72][3460/5005] Time 0.213 (0.210) Data 0.045 (0.048) Loss 2.1745 (2.2924) Prec@1 49.609 (47.607) Prec@5 74.609 (72.841)
Epoch: [72][3470/5005] Time 0.201 (0.210) Data 0.058 (0.048) Loss 2.0474 (2.2922) Prec@1 49.609 (47.610) Prec@5 77.734 (72.844)
Epoch: [72][3480/5005] Time 0.213 (0.210) Data 0.042 (0.048) Loss 2.2069 (2.2921) Prec@1 45.312 (47.609) Prec@5 76.172 (72.849)
Epoch: [72][3490/5005] Time 0.200 (0.210) Data 0.045 (0.048) Loss 2.4446 (2.2921) Prec@1 42.578 (47.607) Prec@5 73.047 (72.849)
Epoch: [72][3500/5005] Time 0.201 (0.210) Data 0.045 (0.048) Loss 2.1490 (2.2921) Prec@1 48.047 (47.604) Prec@5 76.562 (72.849)
Epoch: [72][3510/5005] Time 0.204 (0.210) Data 0.047 (0.048) Loss 2.2081 (2.2920) Prec@1 44.922 (47.604) Prec@5 76.562 (72.851)
Epoch: [72][3520/5005] Time 0.203 (0.210) Data 0.042 (0.048) Loss 2.4221 (2.2921) Prec@1 49.219 (47.605) Prec@5 71.484 (72.850)
Epoch: [72][3530/5005] Time 0.201 (0.210) Data 0.047 (0.048) Loss 2.3092 (2.2920) Prec@1 49.219 (47.609) Prec@5 74.609 (72.852)
Epoch: [72][3540/5005] Time 0.203 (0.210) Data 0.042 (0.048) Loss 2.0743 (2.2917) Prec@1 53.516 (47.615) Prec@5 77.344 (72.853)
Epoch: [72][3550/5005] Time 0.204 (0.210) Data 0.043 (0.048) Loss 2.3239 (2.2915) Prec@1 46.484 (47.617) Prec@5 73.828 (72.855)
Epoch: [72][3560/5005] Time 0.210 (0.210) Data 0.047 (0.048) Loss 2.2564 (2.2913) Prec@1 50.000 (47.621) Prec@5 73.438 (72.859)
Epoch: [72][3570/5005] Time 0.214 (0.210) Data 0.044 (0.048) Loss 2.3605 (2.2914) Prec@1 44.922 (47.618) Prec@5 74.219 (72.861)
Epoch: [72][3580/5005] Time 0.215 (0.210) Data 0.045 (0.048) Loss 2.2410 (2.2914) Prec@1 47.656 (47.617) Prec@5 75.000 (72.864)
Epoch: [72][3590/5005] Time 0.213 (0.210) Data 0.045 (0.047) Loss 2.4362 (2.2911) Prec@1 45.703 (47.624) Prec@5 68.750 (72.870)
Epoch: [72][3600/5005] Time 0.208 (0.210) Data 0.044 (0.047) Loss 2.4845 (2.2910) Prec@1 46.484 (47.624) Prec@5 67.578 (72.869)
Epoch: [72][3610/5005] Time 0.204 (0.210) Data 0.043 (0.047) Loss 2.2606 (2.2910) Prec@1 47.656 (47.626) Prec@5 71.484 (72.871)
Epoch: [72][3620/5005] Time 0.211 (0.210) Data 0.044 (0.047) Loss 2.4825 (2.2908) Prec@1 42.188 (47.631) Prec@5 70.703 (72.874)
Epoch: [72][3630/5005] Time 0.213 (0.210) Data 0.044 (0.047) Loss 2.5849 (2.2907) Prec@1 40.625 (47.633) Prec@5 66.016 (72.873)
Epoch: [72][3640/5005] Time 0.200 (0.210) Data 0.040 (0.047) Loss 2.2923 (2.2907) Prec@1 47.656 (47.634) Prec@5 71.484 (72.873)
Epoch: [72][3650/5005] Time 0.206 (0.210) Data 0.043 (0.047) Loss 2.1613 (2.2906) Prec@1 51.172 (47.635) Prec@5 73.438 (72.871)
Epoch: [72][3660/5005] Time 0.205 (0.210) Data 0.044 (0.047) Loss 2.3240 (2.2904) Prec@1 46.875 (47.637) Prec@5 72.656 (72.875)
Epoch: [72][3670/5005] Time 0.205 (0.210) Data 0.043 (0.047) Loss 2.5176 (2.2906) Prec@1 45.312 (47.636) Prec@5 69.922 (72.874)
Epoch: [72][3680/5005] Time 0.212 (0.210) Data 0.043 (0.047) Loss 2.0649 (2.2906) Prec@1 50.000 (47.637) Prec@5 76.562 (72.873)
Epoch: [72][3690/5005] Time 0.213 (0.210) Data 0.040 (0.047) Loss 2.1095 (2.2906) Prec@1 50.781 (47.639) Prec@5 77.734 (72.875)
Epoch: [72][3700/5005] Time 0.209 (0.210) Data 0.052 (0.047) Loss 2.3299 (2.2905) Prec@1 47.266 (47.639) Prec@5 75.781 (72.879)
Epoch: [72][3710/5005] Time 0.195 (0.210) Data 0.066 (0.047) Loss 2.2777 (2.2905) Prec@1 46.094 (47.640) Prec@5 74.219 (72.883)
Epoch: [72][3720/5005] Time 0.206 (0.210) Data 0.042 (0.047) Loss 2.4991 (2.2904) Prec@1 48.438 (47.644) Prec@5 70.312 (72.884)
Epoch: [72][3730/5005] Time 0.199 (0.210) Data 0.056 (0.047) Loss 2.1052 (2.2903) Prec@1 51.562 (47.644) Prec@5 75.391 (72.883)
Epoch: [72][3740/5005] Time 0.201 (0.210) Data 0.046 (0.047) Loss 2.3000 (2.2901) Prec@1 51.562 (47.649) Prec@5 75.391 (72.889)
Epoch: [72][3750/5005] Time 0.206 (0.210) Data 0.049 (0.047) Loss 2.0895 (2.2902) Prec@1 51.562 (47.645) Prec@5 77.734 (72.886)
Epoch: [72][3760/5005] Time 0.207 (0.210) Data 0.042 (0.047) Loss 2.4388 (2.2903) Prec@1 43.750 (47.641) Prec@5 69.922 (72.884)
Epoch: [72][3770/5005] Time 0.208 (0.210) Data 0.056 (0.047) Loss 2.4309 (2.2901) Prec@1 44.922 (47.645) Prec@5 67.188 (72.888)
Epoch: [72][3780/5005] Time 0.205 (0.210) Data 0.044 (0.047) Loss 2.2771 (2.2900) Prec@1 49.219 (47.646) Prec@5 71.875 (72.890)
Epoch: [72][3790/5005] Time 0.208 (0.210) Data 0.049 (0.047) Loss 2.3676 (2.2899) Prec@1 46.094 (47.644) Prec@5 71.094 (72.891)
Epoch: [72][3800/5005] Time 0.209 (0.210) Data 0.048 (0.048) Loss 2.1928 (2.2901) Prec@1 48.047 (47.637) Prec@5 73.438 (72.887)
Epoch: [72][3810/5005] Time 0.221 (0.210) Data 0.044 (0.047) Loss 2.1794 (2.2902) Prec@1 49.219 (47.634) Prec@5 71.875 (72.886)
Epoch: [72][3820/5005] Time 0.208 (0.210) Data 0.040 (0.047) Loss 2.1853 (2.2899) Prec@1 49.219 (47.638) Prec@5 76.172 (72.891)
Epoch: [72][3830/5005] Time 0.208 (0.210) Data 0.044 (0.047) Loss 2.3544 (2.2897) Prec@1 45.703 (47.642) Prec@5 73.828 (72.894)
Epoch: [72][3840/5005] Time 0.212 (0.210) Data 0.044 (0.047) Loss 2.5326 (2.2898) Prec@1 42.969 (47.641) Prec@5 69.531 (72.891)
Epoch: [72][3850/5005] Time 0.202 (0.210) Data 0.047 (0.047) Loss 2.5135 (2.2897) Prec@1 41.016 (47.640) Prec@5 67.578 (72.893)
Epoch: [72][3860/5005] Time 0.206 (0.210) Data 0.048 (0.047) Loss 2.0637 (2.2897) Prec@1 53.906 (47.642) Prec@5 75.781 (72.892)
Epoch: [72][3870/5005] Time 0.203 (0.210) Data 0.065 (0.047) Loss 2.3067 (2.2896) Prec@1 46.484 (47.641) Prec@5 75.000 (72.894)
Epoch: [72][3880/5005] Time 0.212 (0.210) Data 0.046 (0.048) Loss 2.0775 (2.2896) Prec@1 52.734 (47.642) Prec@5 76.172 (72.892)
Epoch: [72][3890/5005] Time 0.207 (0.210) Data 0.044 (0.048) Loss 2.4124 (2.2897) Prec@1 46.875 (47.639) Prec@5 71.094 (72.888)
Epoch: [72][3900/5005] Time 0.204 (0.210) Data 0.060 (0.048) Loss 2.5324 (2.2897) Prec@1 42.188 (47.640) Prec@5 68.750 (72.887)
Epoch: [72][3910/5005] Time 0.194 (0.210) Data 0.045 (0.048) Loss 2.3590 (2.2897) Prec@1 42.969 (47.641) Prec@5 70.312 (72.888)
Epoch: [72][3920/5005] Time 0.197 (0.210) Data 0.049 (0.048) Loss 2.1736 (2.2897) Prec@1 47.266 (47.642) Prec@5 75.781 (72.887)
Epoch: [72][3930/5005] Time 0.209 (0.210) Data 0.054 (0.048) Loss 2.2341 (2.2896) Prec@1 46.875 (47.643) Prec@5 75.391 (72.891)
Epoch: [72][3940/5005] Time 0.211 (0.210) Data 0.045 (0.048) Loss 2.2897 (2.2895) Prec@1 46.484 (47.644) Prec@5 74.219 (72.890)
Epoch: [72][3950/5005] Time 0.217 (0.210) Data 0.042 (0.048) Loss 2.1759 (2.2894) Prec@1 50.781 (47.649) Prec@5 75.000 (72.892)
Epoch: [72][3960/5005] Time 0.202 (0.210) Data 0.045 (0.048) Loss 2.3171 (2.2894) Prec@1 46.875 (47.646) Prec@5 71.484 (72.892)
Epoch: [72][3970/5005] Time 0.207 (0.210) Data 0.052 (0.048) Loss 2.1624 (2.2893) Prec@1 51.172 (47.647) Prec@5 73.438 (72.891)
Epoch: [72][3980/5005] Time 0.219 (0.210) Data 0.044 (0.048) Loss 2.0808 (2.2892) Prec@1 50.000 (47.649) Prec@5 76.953 (72.894)
Epoch: [72][3990/5005] Time 0.210 (0.210) Data 0.047 (0.048) Loss 2.4277 (2.2893) Prec@1 45.312 (47.649) Prec@5 71.094 (72.893)
Epoch: [72][4000/5005] Time 0.208 (0.210) Data 0.047 (0.048) Loss 2.1476 (2.2893) Prec@1 47.266 (47.649) Prec@5 73.047 (72.891)
Epoch: [72][4010/5005] Time 0.207 (0.210) Data 0.051 (0.048) Loss 2.4565 (2.2891) Prec@1 44.141 (47.653) Prec@5 67.969 (72.895)
Epoch: [72][4020/5005] Time 0.208 (0.210) Data 0.045 (0.048) Loss 2.4795 (2.2891) Prec@1 41.797 (47.651) Prec@5 71.094 (72.894)
Epoch: [72][4030/5005] Time 0.200 (0.210) Data 0.046 (0.048) Loss 2.5165 (2.2894) Prec@1 42.578 (47.648) Prec@5 68.750 (72.891)
Epoch: [72][4040/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.3736 (2.2894) Prec@1 47.656 (47.645) Prec@5 67.188 (72.888)
Epoch: [72][4050/5005] Time 0.214 (0.210) Data 0.046 (0.048) Loss 2.5942 (2.2893) Prec@1 41.797 (47.647) Prec@5 64.062 (72.891)
Epoch: [72][4060/5005] Time 0.201 (0.210) Data 0.056 (0.048) Loss 2.4243 (2.2893) Prec@1 44.531 (47.647) Prec@5 68.750 (72.892)
Epoch: [72][4070/5005] Time 0.208 (0.210) Data 0.044 (0.048) Loss 2.4489 (2.2893) Prec@1 46.094 (47.648) Prec@5 71.484 (72.893)
Epoch: [72][4080/5005] Time 0.201 (0.210) Data 0.040 (0.048) Loss 2.1526 (2.2892) Prec@1 46.875 (47.646) Prec@5 74.219 (72.894)
Epoch: [72][4090/5005] Time 0.212 (0.210) Data 0.046 (0.048) Loss 2.4970 (2.2893) Prec@1 43.359 (47.647) Prec@5 73.438 (72.892)
Epoch: [72][4100/5005] Time 0.207 (0.210) Data 0.044 (0.048) Loss 2.2194 (2.2892) Prec@1 46.484 (47.647) Prec@5 72.266 (72.891)
Epoch: [72][4110/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.5106 (2.2892) Prec@1 41.797 (47.647) Prec@5 68.359 (72.892)
Epoch: [72][4120/5005] Time 0.206 (0.210) Data 0.043 (0.048) Loss 2.3228 (2.2891) Prec@1 48.047 (47.648) Prec@5 73.828 (72.893)
Epoch: [72][4130/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.4923 (2.2891) Prec@1 42.969 (47.647) Prec@5 69.141 (72.894)
Epoch: [72][4140/5005] Time 0.199 (0.210) Data 0.048 (0.047) Loss 2.3728 (2.2891) Prec@1 46.484 (47.650) Prec@5 71.094 (72.894)
Epoch: [72][4150/5005] Time 0.212 (0.210) Data 0.041 (0.048) Loss 2.4919 (2.2891) Prec@1 46.875 (47.649) Prec@5 68.750 (72.894)
Epoch: [72][4160/5005] Time 0.213 (0.210) Data 0.045 (0.048) Loss 2.3299 (2.2893) Prec@1 51.172 (47.647) Prec@5 73.828 (72.892)
Epoch: [72][4170/5005] Time 0.201 (0.210) Data 0.056 (0.048) Loss 2.2101 (2.2891) Prec@1 44.141 (47.652) Prec@5 75.391 (72.896)
Epoch: [72][4180/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.2073 (2.2890) Prec@1 52.734 (47.655) Prec@5 73.047 (72.897)
Epoch: [72][4190/5005] Time 0.207 (0.210) Data 0.060 (0.048) Loss 2.1156 (2.2890) Prec@1 49.219 (47.654) Prec@5 73.047 (72.895)
Epoch: [72][4200/5005] Time 0.205 (0.210) Data 0.059 (0.048) Loss 2.1718 (2.2889) Prec@1 47.656 (47.655) Prec@5 71.484 (72.895)
Epoch: [72][4210/5005] Time 0.200 (0.210) Data 0.057 (0.048) Loss 2.1239 (2.2888) Prec@1 46.875 (47.656) Prec@5 76.562 (72.895)
Epoch: [72][4220/5005] Time 0.207 (0.210) Data 0.056 (0.048) Loss 2.5305 (2.2889) Prec@1 40.625 (47.653) Prec@5 69.141 (72.892)
Epoch: [72][4230/5005] Time 0.211 (0.210) Data 0.042 (0.048) Loss 2.3973 (2.2889) Prec@1 46.875 (47.652) Prec@5 69.531 (72.891)
Epoch: [72][4240/5005] Time 0.199 (0.210) Data 0.059 (0.048) Loss 2.1347 (2.2889) Prec@1 50.391 (47.651) Prec@5 75.391 (72.892)
Epoch: [72][4250/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.0880 (2.2887) Prec@1 50.000 (47.655) Prec@5 75.391 (72.896)
Epoch: [72][4260/5005] Time 0.205 (0.210) Data 0.042 (0.048) Loss 2.2574 (2.2886) Prec@1 46.484 (47.657) Prec@5 74.219 (72.895)
Epoch: [72][4270/5005] Time 0.204 (0.210) Data 0.046 (0.048) Loss 2.3917 (2.2888) Prec@1 50.391 (47.653) Prec@5 71.875 (72.892)
Epoch: [72][4280/5005] Time 0.211 (0.210) Data 0.049 (0.048) Loss 2.3287 (2.2888) Prec@1 44.531 (47.653) Prec@5 72.266 (72.893)
Epoch: [72][4290/5005] Time 0.211 (0.210) Data 0.045 (0.048) Loss 2.3695 (2.2888) Prec@1 46.094 (47.649) Prec@5 69.141 (72.891)
Epoch: [72][4300/5005] Time 0.203 (0.210) Data 0.042 (0.048) Loss 2.1305 (2.2887) Prec@1 48.047 (47.651) Prec@5 75.781 (72.895)
Epoch: [72][4310/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.2918 (2.2887) Prec@1 46.484 (47.651) Prec@5 71.875 (72.895)
Epoch: [72][4320/5005] Time 0.209 (0.210) Data 0.042 (0.048) Loss 2.2710 (2.2887) Prec@1 52.344 (47.652) Prec@5 72.656 (72.894)
Epoch: [72][4330/5005] Time 0.206 (0.210) Data 0.041 (0.048) Loss 2.2725 (2.2886) Prec@1 47.266 (47.651) Prec@5 72.656 (72.896)
Epoch: [72][4340/5005] Time 0.201 (0.210) Data 0.042 (0.048) Loss 2.2640 (2.2887) Prec@1 47.656 (47.649) Prec@5 69.922 (72.895)
Epoch: [72][4350/5005] Time 0.197 (0.210) Data 0.045 (0.048) Loss 2.2949 (2.2887) Prec@1 45.703 (47.650) Prec@5 74.219 (72.898)
Epoch: [72][4360/5005] Time 0.203 (0.210) Data 0.045 (0.048) Loss 2.1520 (2.2885) Prec@1 49.609 (47.652) Prec@5 72.266 (72.899)
Epoch: [72][4370/5005] Time 0.200 (0.210) Data 0.045 (0.048) Loss 2.2530 (2.2885) Prec@1 48.438 (47.652) Prec@5 74.219 (72.900)
Epoch: [72][4380/5005] Time 0.208 (0.210) Data 0.046 (0.048) Loss 2.2842 (2.2884) Prec@1 48.438 (47.654) Prec@5 74.219 (72.902)
Epoch: [72][4390/5005] Time 0.209 (0.210) Data 0.045 (0.048) Loss 2.3677 (2.2883) Prec@1 45.312 (47.656) Prec@5 68.359 (72.901)
Epoch: [72][4400/5005] Time 0.213 (0.210) Data 0.046 (0.048) Loss 2.1611 (2.2883) Prec@1 48.438 (47.655) Prec@5 76.562 (72.902)
Epoch: [72][4410/5005] Time 0.201 (0.210) Data 0.042 (0.048) Loss 2.3495 (2.2882) Prec@1 42.188 (47.652) Prec@5 70.312 (72.901)
Epoch: [72][4420/5005] Time 0.207 (0.210) Data 0.045 (0.048) Loss 2.2252 (2.2881) Prec@1 49.219 (47.656) Prec@5 73.438 (72.904)
Epoch: [72][4430/5005] Time 0.209 (0.209) Data 0.046 (0.048) Loss 2.2843 (2.2879) Prec@1 46.484 (47.656) Prec@5 70.703 (72.908)
Epoch: [72][4440/5005] Time 0.210 (0.209) Data 0.042 (0.048) Loss 2.4351 (2.2880) Prec@1 43.359 (47.655) Prec@5 72.656 (72.905)
Epoch: [72][4450/5005] Time 0.207 (0.209) Data 0.042 (0.048) Loss 2.2147 (2.2880) Prec@1 46.484 (47.652) Prec@5 73.828 (72.904)
Epoch: [72][4460/5005] Time 0.212 (0.209) Data 0.047 (0.048) Loss 2.3046 (2.2879) Prec@1 48.828 (47.657) Prec@5 69.141 (72.907)
Epoch: [72][4470/5005] Time 0.218 (0.209) Data 0.041 (0.048) Loss 2.1336 (2.2880) Prec@1 49.609 (47.657) Prec@5 77.344 (72.905)
Epoch: [72][4480/5005] Time 0.212 (0.209) Data 0.042 (0.048) Loss 2.1198 (2.2881) Prec@1 53.516 (47.656) Prec@5 72.656 (72.904)
Epoch: [72][4490/5005] Time 0.211 (0.209) Data 0.047 (0.048) Loss 2.2820 (2.2881) Prec@1 48.438 (47.654) Prec@5 73.047 (72.901)
Epoch: [72][4500/5005] Time 0.209 (0.209) Data 0.048 (0.048) Loss 2.2507 (2.2881) Prec@1 49.219 (47.657) Prec@5 76.172 (72.904)
Epoch: [72][4510/5005] Time 0.204 (0.209) Data 0.058 (0.048) Loss 2.0863 (2.2881) Prec@1 51.562 (47.654) Prec@5 75.391 (72.905)
Epoch: [72][4520/5005] Time 0.210 (0.209) Data 0.050 (0.048) Loss 2.2692 (2.2879) Prec@1 46.484 (47.657) Prec@5 73.828 (72.907)
Epoch: [72][4530/5005] Time 0.208 (0.209) Data 0.046 (0.048) Loss 2.2772 (2.2879) Prec@1 48.828 (47.661) Prec@5 71.094 (72.906)
Epoch: [72][4540/5005] Time 0.212 (0.209) Data 0.046 (0.048) Loss 2.3374 (2.2880) Prec@1 46.875 (47.660) Prec@5 73.047 (72.905)
Epoch: [72][4550/5005] Time 0.212 (0.209) Data 0.051 (0.048) Loss 2.2935 (2.2879) Prec@1 47.266 (47.660) Prec@5 73.828 (72.908)
Epoch: [72][4560/5005] Time 0.213 (0.209) Data 0.045 (0.048) Loss 2.2788 (2.2878) Prec@1 48.828 (47.665) Prec@5 73.828 (72.909)
Epoch: [72][4570/5005] Time 0.203 (0.209) Data 0.051 (0.048) Loss 2.3703 (2.2877) Prec@1 48.047 (47.665) Prec@5 70.312 (72.910)
Epoch: [72][4580/5005] Time 0.208 (0.209) Data 0.046 (0.048) Loss 2.3822 (2.2877) Prec@1 43.359 (47.666) Prec@5 74.219 (72.909)
Epoch: [72][4590/5005] Time 0.200 (0.209) Data 0.067 (0.048) Loss 2.0564 (2.2878) Prec@1 53.906 (47.664) Prec@5 76.172 (72.906)
Epoch: [72][4600/5005] Time 0.196 (0.209) Data 0.046 (0.048) Loss 2.0008 (2.2878) Prec@1 54.688 (47.663) Prec@5 78.516 (72.906)
Epoch: [72][4610/5005] Time 0.211 (0.209) Data 0.047 (0.048) Loss 2.1647 (2.2878) Prec@1 45.312 (47.664) Prec@5 75.391 (72.907)
Epoch: [72][4620/5005] Time 0.209 (0.209) Data 0.047 (0.048) Loss 2.2447 (2.2878) Prec@1 51.562 (47.665) Prec@5 70.312 (72.905)
Epoch: [72][4630/5005] Time 0.205 (0.209) Data 0.043 (0.048) Loss 2.1247 (2.2877) Prec@1 50.781 (47.668) Prec@5 74.219 (72.908)
Epoch: [72][4640/5005] Time 0.205 (0.209) Data 0.043 (0.048) Loss 2.2575 (2.2877) Prec@1 50.391 (47.671) Prec@5 71.875 (72.910)
Epoch: [72][4650/5005] Time 0.211 (0.209) Data 0.044 (0.048) Loss 2.4267 (2.2876) Prec@1 44.531 (47.671) Prec@5 70.703 (72.909)
Epoch: [72][4660/5005] Time 0.214 (0.209) Data 0.043 (0.048) Loss 2.5347 (2.2876) Prec@1 41.016 (47.672) Prec@5 66.797 (72.910)
Epoch: [72][4670/5005] Time 0.197 (0.209) Data 0.046 (0.048) Loss 2.2709 (2.2875) Prec@1 44.141 (47.673) Prec@5 71.875 (72.912)
Epoch: [72][4680/5005] Time 0.206 (0.209) Data 0.046 (0.048) Loss 2.1431 (2.2875) Prec@1 48.828 (47.672) Prec@5 76.172 (72.911)
Epoch: [72][4690/5005] Time 0.211 (0.209) Data 0.045 (0.048) Loss 2.3418 (2.2875) Prec@1 45.312 (47.670) Prec@5 73.438 (72.913)
Epoch: [72][4700/5005] Time 0.204 (0.209) Data 0.041 (0.048) Loss 2.2103 (2.2874) Prec@1 50.781 (47.674) Prec@5 73.047 (72.914)
Epoch: [72][4710/5005] Time 0.208 (0.209) Data 0.051 (0.048) Loss 2.0773 (2.2872) Prec@1 51.562 (47.678) Prec@5 76.953 (72.919)
Epoch: [72][4720/5005] Time 0.192 (0.209) Data 0.057 (0.048) Loss 2.1506 (2.2871) Prec@1 51.953 (47.679) Prec@5 74.609 (72.920)
Epoch: [72][4730/5005] Time 0.205 (0.209) Data 0.047 (0.048) Loss 2.2694 (2.2872) Prec@1 45.703 (47.676) Prec@5 73.438 (72.920)
Epoch: [72][4740/5005] Time 0.199 (0.209) Data 0.063 (0.048) Loss 2.2028 (2.2872) Prec@1 48.047 (47.678) Prec@5 73.828 (72.922)
Epoch: [72][4750/5005] Time 0.212 (0.209) Data 0.053 (0.048) Loss 2.2540 (2.2871) Prec@1 49.219 (47.681) Prec@5 72.266 (72.923)
Epoch: [72][4760/5005] Time 0.198 (0.209) Data 0.043 (0.048) Loss 2.5499 (2.2871) Prec@1 43.359 (47.681) Prec@5 70.312 (72.922)
Epoch: [72][4770/5005] Time 0.206 (0.209) Data 0.048 (0.048) Loss 2.2118 (2.2871) Prec@1 53.906 (47.679) Prec@5 75.391 (72.921)
Epoch: [72][4780/5005] Time 0.209 (0.209) Data 0.045 (0.048) Loss 2.2532 (2.2871) Prec@1 46.484 (47.680) Prec@5 75.391 (72.924)
Epoch: [72][4790/5005] Time 0.214 (0.209) Data 0.047 (0.048) Loss 2.4084 (2.2870) Prec@1 46.094 (47.682) Prec@5 71.875 (72.925)
Epoch: [72][4800/5005] Time 0.214 (0.209) Data 0.049 (0.048) Loss 2.4155 (2.2868) Prec@1 46.094 (47.685) Prec@5 71.875 (72.928)
Epoch: [72][4810/5005] Time 0.217 (0.209) Data 0.046 (0.048) Loss 2.5053 (2.2867) Prec@1 43.359 (47.684) Prec@5 66.797 (72.927)
Epoch: [72][4820/5005] Time 0.200 (0.209) Data 0.051 (0.048) Loss 2.5198 (2.2866) Prec@1 45.312 (47.685) Prec@5 67.969 (72.929)
Epoch: [72][4830/5005] Time 0.211 (0.209) Data 0.048 (0.048) Loss 2.2670 (2.2865) Prec@1 48.047 (47.689) Prec@5 75.391 (72.931)
Epoch: [72][4840/5005] Time 0.204 (0.209) Data 0.045 (0.048) Loss 1.9732 (2.2865) Prec@1 53.906 (47.691) Prec@5 77.344 (72.930)
Epoch: [72][4850/5005] Time 0.204 (0.209) Data 0.047 (0.048) Loss 2.3078 (2.2866) Prec@1 45.703 (47.688) Prec@5 73.828 (72.928)
Epoch: [72][4860/5005] Time 0.206 (0.209) Data 0.050 (0.048) Loss 2.2013 (2.2865) Prec@1 50.391 (47.692) Prec@5 75.000 (72.932)
Epoch: [72][4870/5005] Time 0.214 (0.209) Data 0.041 (0.048) Loss 2.0614 (2.2865) Prec@1 52.734 (47.694) Prec@5 73.828 (72.932)
Epoch: [72][4880/5005] Time 0.192 (0.209) Data 0.047 (0.048) Loss 2.2955 (2.2864) Prec@1 46.484 (47.694) Prec@5 72.266 (72.932)
Epoch: [72][4890/5005] Time 0.211 (0.209) Data 0.049 (0.048) Loss 2.3247 (2.2864) Prec@1 46.875 (47.695) Prec@5 70.312 (72.934)
Epoch: [72][4900/5005] Time 0.208 (0.209) Data 0.054 (0.048) Loss 2.2331 (2.2864) Prec@1 47.266 (47.693) Prec@5 72.656 (72.934)
Epoch: [72][4910/5005] Time 0.205 (0.209) Data 0.043 (0.048) Loss 2.3022 (2.2862) Prec@1 47.656 (47.697) Prec@5 76.172 (72.937)
Epoch: [72][4920/5005] Time 0.204 (0.209) Data 0.043 (0.048) Loss 2.2299 (2.2861) Prec@1 46.875 (47.698) Prec@5 73.047 (72.937)
Epoch: [72][4930/5005] Time 0.207 (0.209) Data 0.054 (0.048) Loss 2.4674 (2.2861) Prec@1 44.141 (47.698) Prec@5 69.141 (72.939)
Epoch: [72][4940/5005] Time 0.210 (0.209) Data 0.048 (0.048) Loss 2.3554 (2.2862) Prec@1 48.438 (47.697) Prec@5 69.531 (72.937)
Epoch: [72][4950/5005] Time 0.218 (0.209) Data 0.046 (0.048) Loss 2.0897 (2.2863) Prec@1 48.828 (47.696) Prec@5 77.734 (72.934)
Epoch: [72][4960/5005] Time 0.211 (0.209) Data 0.046 (0.048) Loss 2.3517 (2.2862) Prec@1 45.312 (47.697) Prec@5 72.656 (72.935)
Epoch: [72][4970/5005] Time 0.202 (0.209) Data 0.058 (0.048) Loss 2.3031 (2.2861) Prec@1 47.266 (47.699) Prec@5 73.047 (72.938)
Epoch: [72][4980/5005] Time 0.206 (0.209) Data 0.045 (0.048) Loss 2.2931 (2.2860) Prec@1 46.875 (47.700) Prec@5 74.219 (72.940)
Epoch: [72][4990/5005] Time 0.212 (0.209) Data 0.028 (0.048) Loss 2.2796 (2.2859) Prec@1 46.484 (47.703) Prec@5 71.875 (72.941)
Epoch: [72][5000/5005] Time 0.205 (0.209) Data 0.021 (0.048) Loss 2.3385 (2.2859) Prec@1 43.750 (47.702) Prec@5 73.438 (72.942)
Test: [0/196] Time 1.721 (1.721) Loss 2.3899 (2.3899) Prec@1 50.781 (50.781) Prec@5 71.484 (71.484)
Test: [10/196] Time 0.043 (0.310) Loss 2.4551 (2.5596) Prec@1 46.484 (43.928) Prec@5 69.141 (68.324)
Test: [20/196] Time 0.044 (0.239) Loss 2.5352 (2.5745) Prec@1 44.922 (43.583) Prec@5 73.047 (68.731)
Test: [30/196] Time 0.042 (0.205) Loss 2.4382 (2.5751) Prec@1 42.578 (43.649) Prec@5 71.484 (68.687)
Test: [40/196] Time 0.043 (0.206) Loss 2.3232 (2.5684) Prec@1 51.562 (43.950) Prec@5 73.828 (68.864)
Test: [50/196] Time 0.050 (0.202) Loss 2.6344 (2.5697) Prec@1 43.359 (43.964) Prec@5 69.531 (68.972)
Test: [60/196] Time 0.045 (0.195) Loss 2.5297 (2.5556) Prec@1 44.141 (44.173) Prec@5 70.312 (69.166)
Test: [70/196] Time 0.045 (0.188) Loss 2.4604 (2.5488) Prec@1 49.219 (44.251) Prec@5 69.922 (69.201)
Test: [80/196] Time 0.047 (0.189) Loss 2.4199 (2.5558) Prec@1 50.391 (44.194) Prec@5 74.609 (69.145)
Test: [90/196] Time 0.042 (0.185) Loss 2.6170 (2.5567) Prec@1 43.359 (44.171) Prec@5 66.797 (69.162)
Test: [100/196] Time 0.045 (0.187) Loss 2.5981 (2.5531) Prec@1 45.703 (44.380) Prec@5 67.188 (69.156)
Test: [110/196] Time 0.049 (0.185) Loss 2.7531 (2.5554) Prec@1 40.625 (44.355) Prec@5 62.500 (69.144)
Test: [120/196] Time 0.428 (0.184) Loss 2.3889 (2.5517) Prec@1 44.922 (44.421) Prec@5 73.828 (69.267)
Test: [130/196] Time 0.328 (0.182) Loss 2.2366 (2.5489) Prec@1 46.484 (44.540) Prec@5 73.438 (69.311)
Test: [140/196] Time 0.498 (0.185) Loss 2.3218 (2.5508) Prec@1 48.047 (44.454) Prec@5 72.656 (69.293)
Test: [150/196] Time 0.043 (0.183) Loss 2.2066 (2.5488) Prec@1 49.219 (44.480) Prec@5 78.125 (69.379)
Test: [160/196] Time 0.044 (0.181) Loss 2.5070 (2.5482) Prec@1 48.438 (44.439) Prec@5 69.922 (69.354)
Test: [170/196] Time 0.043 (0.179) Loss 2.4868 (2.5503) Prec@1 42.969 (44.399) Prec@5 71.875 (69.323)
Test: [180/196] Time 0.042 (0.179) Loss 2.7804 (2.5561) Prec@1 41.406 (44.296) Prec@5 67.188 (69.203)
Test: [190/196] Time 0.043 (0.180) Loss 2.7781 (2.5590) Prec@1 41.406 (44.302) Prec@5 64.062 (69.126)
* Prec@1 44.334 Prec@5 69.136
Learning rate: 1e-05
Epoch: [73][0/5005] Time 1.173 (1.173) Data 1.082 (1.082) Loss 2.3074 (2.3074) Prec@1 44.922 (44.922) Prec@5 72.656 (72.656)
Epoch: [73][10/5005] Time 0.203 (0.292) Data 0.048 (0.141) Loss 2.3287 (2.3264) Prec@1 49.609 (46.946) Prec@5 69.531 (71.946)
Epoch: [73][20/5005] Time 0.200 (0.250) Data 0.058 (0.097) Loss 2.5167 (2.3272) Prec@1 45.703 (46.187) Prec@5 69.531 (72.377)
Epoch: [73][30/5005] Time 0.204 (0.234) Data 0.043 (0.081) Loss 2.1583 (2.2874) Prec@1 47.656 (46.686) Prec@5 74.219 (72.883)
Epoch: [73][40/5005] Time 0.202 (0.227) Data 0.056 (0.072) Loss 2.1818 (2.2958) Prec@1 48.047 (46.608) Prec@5 75.000 (72.990)
Epoch: [73][50/5005] Time 0.209 (0.222) Data 0.044 (0.067) Loss 2.1501 (2.2906) Prec@1 47.266 (46.576) Prec@5 76.562 (73.215)
Epoch: [73][60/5005] Time 0.210 (0.219) Data 0.040 (0.063) Loss 2.2716 (2.2970) Prec@1 44.531 (46.401) Prec@5 74.219 (73.169)
Epoch: [73][70/5005] Time 0.202 (0.217) Data 0.055 (0.061) Loss 2.2698 (2.3067) Prec@1 49.609 (46.292) Prec@5 70.703 (72.986)
Epoch: [73][80/5005] Time 0.196 (0.215) Data 0.056 (0.060) Loss 2.1051 (2.2968) Prec@1 50.391 (46.552) Prec@5 76.562 (73.167)
Epoch: [73][90/5005] Time 0.201 (0.213) Data 0.065 (0.059) Loss 2.3263 (2.2952) Prec@1 46.875 (46.682) Prec@5 71.875 (73.111)
Epoch: [73][100/5005] Time 0.198 (0.212) Data 0.053 (0.058) Loss 2.1278 (2.2965) Prec@1 47.656 (46.666) Prec@5 76.953 (72.977)
Epoch: [73][110/5005] Time 0.192 (0.211) Data 0.043 (0.057) Loss 2.3539 (2.2993) Prec@1 46.484 (46.738) Prec@5 70.312 (72.906)
Epoch: [73][120/5005] Time 0.200 (0.210) Data 0.051 (0.056) Loss 2.2159 (2.3004) Prec@1 48.047 (46.814) Prec@5 73.438 (72.873)
Epoch: [73][130/5005] Time 0.188 (0.210) Data 0.045 (0.056) Loss 2.3885 (2.2982) Prec@1 46.484 (46.956) Prec@5 72.266 (72.877)
Epoch: [73][140/5005] Time 0.204 (0.209) Data 0.048 (0.055) Loss 2.2829 (2.2950) Prec@1 49.219 (47.016) Prec@5 73.047 (72.847)
Epoch: [73][150/5005] Time 0.208 (0.209) Data 0.047 (0.055) Loss 2.3547 (2.2956) Prec@1 47.266 (47.108) Prec@5 69.531 (72.755)
Epoch: [73][160/5005] Time 0.208 (0.208) Data 0.045 (0.054) Loss 2.1590 (2.2988) Prec@1 50.000 (47.091) Prec@5 75.391 (72.668)
Epoch: [73][170/5005] Time 0.214 (0.208) Data 0.044 (0.054) Loss 2.3449 (2.2976) Prec@1 50.000 (47.170) Prec@5 73.828 (72.677)
Epoch: [73][180/5005] Time 0.219 (0.209) Data 0.051 (0.054) Loss 2.4379 (2.2958) Prec@1 49.219 (47.304) Prec@5 69.141 (72.712)
Epoch: [73][190/5005] Time 0.220 (0.209) Data 0.052 (0.053) Loss 2.3655 (2.2984) Prec@1 46.484 (47.202) Prec@5 71.484 (72.699)
Epoch: [73][200/5005] Time 0.217 (0.210) Data 0.049 (0.053) Loss 2.4779 (2.3003) Prec@1 43.750 (47.172) Prec@5 72.656 (72.695)
Epoch: [73][210/5005] Time 0.217 (0.210) Data 0.052 (0.053) Loss 2.2229 (2.3001) Prec@1 50.000 (47.180) Prec@5 75.000 (72.704)
Epoch: [73][220/5005] Time 0.224 (0.211) Data 0.049 (0.053) Loss 2.3497 (2.3006) Prec@1 49.219 (47.236) Prec@5 70.312 (72.700)
Epoch: [73][230/5005] Time 0.222 (0.211) Data 0.046 (0.053) Loss 2.3825 (2.3019) Prec@1 44.922 (47.247) Prec@5 70.703 (72.690)
Epoch: [73][240/5005] Time 0.212 (0.211) Data 0.048 (0.053) Loss 2.2289 (2.3014) Prec@1 47.266 (47.209) Prec@5 71.094 (72.731)
Epoch: [73][250/5005] Time 0.224 (0.212) Data 0.052 (0.053) Loss 2.3556 (2.3010) Prec@1 45.312 (47.230) Prec@5 73.438 (72.737)
Epoch: [73][260/5005] Time 0.225 (0.212) Data 0.062 (0.053) Loss 2.1727 (2.3011) Prec@1 46.484 (47.255) Prec@5 71.875 (72.733)
Epoch: [73][270/5005] Time 0.223 (0.212) Data 0.059 (0.053) Loss 2.3224 (2.3001) Prec@1 51.172 (47.300) Prec@5 73.047 (72.750)
Epoch: [73][280/5005] Time 0.206 (0.213) Data 0.050 (0.053) Loss 2.6101 (2.3018) Prec@1 46.094 (47.298) Prec@5 66.016 (72.702)
Epoch: [73][290/5005] Time 0.217 (0.213) Data 0.064 (0.053) Loss 2.1312 (2.3032) Prec@1 51.953 (47.286) Prec@5 76.953 (72.647)
Epoch: [73][300/5005] Time 0.222 (0.213) Data 0.048 (0.053) Loss 2.1419 (2.3018) Prec@1 49.219 (47.341) Prec@5 77.344 (72.691)
Epoch: [73][310/5005] Time 0.217 (0.213) Data 0.046 (0.053) Loss 2.1081 (2.2990) Prec@1 51.172 (47.419) Prec@5 75.000 (72.748)
Epoch: [73][320/5005] Time 0.206 (0.213) Data 0.059 (0.053) Loss 2.4614 (2.2998) Prec@1 42.578 (47.436) Prec@5 70.312 (72.755)
Epoch: [73][330/5005] Time 0.211 (0.213) Data 0.048 (0.053) Loss 2.1451 (2.2983) Prec@1 47.656 (47.428) Prec@5 76.172 (72.780)
Epoch: [73][340/5005] Time 0.209 (0.213) Data 0.047 (0.053) Loss 2.3272 (2.3011) Prec@1 47.656 (47.402) Prec@5 72.656 (72.726)
Epoch: [73][350/5005] Time 0.215 (0.213) Data 0.047 (0.052) Loss 2.4017 (2.3003) Prec@1 46.484 (47.386) Prec@5 71.484 (72.732)
Epoch: [73][360/5005] Time 0.217 (0.213) Data 0.044 (0.052) Loss 2.4881 (2.3009) Prec@1 44.531 (47.398) Prec@5 69.531 (72.717)
Epoch: [73][370/5005] Time 0.221 (0.214) Data 0.043 (0.052) Loss 2.3766 (2.2991) Prec@1 47.266 (47.435) Prec@5 71.484 (72.760)
Epoch: [73][380/5005] Time 0.216 (0.214) Data 0.044 (0.052) Loss 2.5260 (2.3000) Prec@1 42.578 (47.410) Prec@5 67.578 (72.754)
Epoch: [73][390/5005] Time 0.221 (0.214) Data 0.041 (0.051) Loss 2.2341 (2.2989) Prec@1 51.953 (47.426) Prec@5 75.000 (72.788)
Epoch: [73][400/5005] Time 0.218 (0.214) Data 0.048 (0.051) Loss 2.1306 (2.2977) Prec@1 50.000 (47.447) Prec@5 77.734 (72.812)
Epoch: [73][410/5005] Time 0.213 (0.214) Data 0.043 (0.051) Loss 2.0709 (2.2971) Prec@1 49.219 (47.437) Prec@5 77.734 (72.834)
Epoch: [73][420/5005] Time 0.219 (0.214) Data 0.043 (0.051) Loss 2.2482 (2.2974) Prec@1 46.484 (47.436) Prec@5 74.609 (72.845)
Epoch: [73][430/5005] Time 0.222 (0.214) Data 0.052 (0.051) Loss 2.1924 (2.2978) Prec@1 50.000 (47.417) Prec@5 78.906 (72.856)
Epoch: [73][440/5005] Time 0.219 (0.214) Data 0.044 (0.051) Loss 2.1769 (2.2979) Prec@1 53.516 (47.417) Prec@5 74.609 (72.835)
Epoch: [73][450/5005] Time 0.213 (0.214) Data 0.047 (0.051) Loss 2.2135 (2.2990) Prec@1 44.922 (47.378) Prec@5 73.828 (72.817)
Epoch: [73][460/5005] Time 0.207 (0.214) Data 0.048 (0.051) Loss 2.4065 (2.2995) Prec@1 44.141 (47.361) Prec@5 69.922 (72.800)
Epoch: [73][470/5005] Time 0.216 (0.214) Data 0.051 (0.051) Loss 2.2536 (2.2997) Prec@1 44.141 (47.358) Prec@5 75.391 (72.804)
Epoch: [73][480/5005] Time 0.214 (0.214) Data 0.043 (0.051) Loss 2.2890 (2.2991) Prec@1 49.219 (47.395) Prec@5 75.000 (72.815)
Epoch: [73][490/5005] Time 0.213 (0.214) Data 0.043 (0.051) Loss 2.2481 (2.2988) Prec@1 51.562 (47.377) Prec@5 73.047 (72.823)
Epoch: [73][500/5005] Time 0.215 (0.214) Data 0.044 (0.051) Loss 2.5244 (2.3010) Prec@1 40.625 (47.344) Prec@5 66.016 (72.772)
Epoch: [73][510/5005] Time 0.218 (0.214) Data 0.046 (0.051) Loss 2.5350 (2.3015) Prec@1 44.141 (47.352) Prec@5 66.406 (72.746)
Epoch: [73][520/5005] Time 0.208 (0.214) Data 0.046 (0.051) Loss 2.2982 (2.3012) Prec@1 46.875 (47.362) Prec@5 67.969 (72.734)
Epoch: [73][530/5005] Time 0.217 (0.214) Data 0.042 (0.051) Loss 2.3899 (2.3014) Prec@1 43.750 (47.343) Prec@5 69.922 (72.742)
Epoch: [73][540/5005] Time 0.216 (0.214) Data 0.041 (0.051) Loss 2.3602 (2.3022) Prec@1 47.266 (47.333) Prec@5 71.484 (72.708)
Epoch: [73][550/5005] Time 0.214 (0.214) Data 0.053 (0.050) Loss 2.1618 (2.3018) Prec@1 48.047 (47.348) Prec@5 75.781 (72.704)
Epoch: [73][560/5005] Time 0.218 (0.214) Data 0.040 (0.050) Loss 2.3300 (2.3020) Prec@1 47.266 (47.342) Prec@5 75.000 (72.704)
Epoch: [73][570/5005] Time 0.213 (0.214) Data 0.046 (0.050) Loss 2.4517 (2.3030) Prec@1 47.266 (47.318) Prec@5 66.406 (72.673)
Epoch: [73][580/5005] Time 0.216 (0.214) Data 0.043 (0.050) Loss 2.3219 (2.3023) Prec@1 45.703 (47.330) Prec@5 73.047 (72.684)
Epoch: [73][590/5005] Time 0.209 (0.214) Data 0.042 (0.050) Loss 2.4829 (2.3024) Prec@1 44.141 (47.329) Prec@5 70.703 (72.672)
Epoch: [73][600/5005] Time 0.212 (0.214) Data 0.044 (0.050) Loss 2.3323 (2.3036) Prec@1 44.141 (47.290) Prec@5 71.875 (72.639)
Epoch: [73][610/5005] Time 0.220 (0.214) Data 0.045 (0.050) Loss 2.2361 (2.3037) Prec@1 49.219 (47.299) Prec@5 72.656 (72.651)
Epoch: [73][620/5005] Time 0.215 (0.214) Data 0.041 (0.050) Loss 2.2507 (2.3040) Prec@1 49.609 (47.318) Prec@5 75.000 (72.654)
Epoch: [73][630/5005] Time 0.206 (0.214) Data 0.050 (0.050) Loss 2.5997 (2.3039) Prec@1 41.797 (47.323) Prec@5 69.922 (72.660)
Epoch: [73][640/5005] Time 0.215 (0.214) Data 0.044 (0.050) Loss 2.0831 (2.3034) Prec@1 50.000 (47.314) Prec@5 75.781 (72.659)
Epoch: [73][650/5005] Time 0.213 (0.214) Data 0.055 (0.050) Loss 2.3799 (2.3040) Prec@1 42.578 (47.303) Prec@5 69.922 (72.652)
Epoch: [73][660/5005] Time 0.214 (0.214) Data 0.062 (0.050) Loss 2.4528 (2.3037) Prec@1 42.578 (47.286) Prec@5 71.875 (72.665)
Epoch: [73][670/5005] Time 0.220 (0.214) Data 0.042 (0.050) Loss 2.4687 (2.3038) Prec@1 43.750 (47.296) Prec@5 67.578 (72.648)
Epoch: [73][680/5005] Time 0.217 (0.214) Data 0.047 (0.050) Loss 2.2176 (2.3036) Prec@1 49.219 (47.301) Prec@5 75.391 (72.655)
Epoch: [73][690/5005] Time 0.222 (0.214) Data 0.045 (0.050) Loss 2.1632 (2.3029) Prec@1 48.047 (47.324) Prec@5 77.734 (72.660)
Epoch: [73][700/5005] Time 0.211 (0.214) Data 0.057 (0.050) Loss 2.2628 (2.3027) Prec@1 46.484 (47.340) Prec@5 72.266 (72.671)
Epoch: [73][710/5005] Time 0.209 (0.214) Data 0.047 (0.050) Loss 2.0880 (2.3026) Prec@1 50.000 (47.344) Prec@5 75.781 (72.668)
Epoch: [73][720/5005] Time 0.214 (0.214) Data 0.060 (0.050) Loss 2.1854 (2.3017) Prec@1 45.312 (47.357) Prec@5 76.562 (72.678)
Epoch: [73][730/5005] Time 0.213 (0.214) Data 0.046 (0.050) Loss 2.4514 (2.3029) Prec@1 44.531 (47.340) Prec@5 70.703 (72.659)
Epoch: [73][740/5005] Time 0.215 (0.214) Data 0.045 (0.050) Loss 2.3201 (2.3024) Prec@1 44.922 (47.339) Prec@5 68.750 (72.659)
Epoch: [73][750/5005] Time 0.209 (0.214) Data 0.044 (0.050) Loss 2.2032 (2.3022) Prec@1 50.391 (47.337) Prec@5 74.219 (72.668)
Epoch: [73][760/5005] Time 0.218 (0.214) Data 0.046 (0.050) Loss 2.3460 (2.3020) Prec@1 44.531 (47.333) Prec@5 71.484 (72.673)
Epoch: [73][770/5005] Time 0.218 (0.214) Data 0.042 (0.050) Loss 2.2495 (2.3008) Prec@1 47.656 (47.362) Prec@5 71.094 (72.682)
Epoch: [73][780/5005] Time 0.216 (0.214) Data 0.044 (0.049) Loss 2.3206 (2.3004) Prec@1 47.266 (47.375) Prec@5 71.484 (72.677)
Epoch: [73][790/5005] Time 0.216 (0.214) Data 0.045 (0.049) Loss 2.2628 (2.3000) Prec@1 47.656 (47.387) Prec@5 71.484 (72.677)
Epoch: [73][800/5005] Time 0.214 (0.214) Data 0.047 (0.049) Loss 2.2312 (2.2990) Prec@1 46.094 (47.409) Prec@5 74.609 (72.694)
Epoch: [73][810/5005] Time 0.206 (0.214) Data 0.054 (0.049) Loss 2.2757 (2.2990) Prec@1 46.484 (47.403) Prec@5 73.828 (72.696)
Epoch: [73][820/5005] Time 0.200 (0.214) Data 0.046 (0.049) Loss 2.1769 (2.2991) Prec@1 50.000 (47.403) Prec@5 73.438 (72.697)
Epoch: [73][830/5005] Time 0.198 (0.214) Data 0.043 (0.049) Loss 2.2266 (2.2993) Prec@1 47.266 (47.397) Prec@5 75.391 (72.693)
Epoch: [73][840/5005] Time 0.217 (0.214) Data 0.043 (0.049) Loss 2.2149 (2.2992) Prec@1 50.000 (47.401) Prec@5 71.094 (72.697)
Epoch: [73][850/5005] Time 0.199 (0.214) Data 0.047 (0.049) Loss 2.7290 (2.2991) Prec@1 38.672 (47.398) Prec@5 65.625 (72.693)
Epoch: [73][860/5005] Time 0.202 (0.214) Data 0.045 (0.049) Loss 2.3912 (2.2996) Prec@1 48.047 (47.390) Prec@5 71.875 (72.681)
Epoch: [73][870/5005] Time 0.212 (0.214) Data 0.047 (0.049) Loss 2.3344 (2.2987) Prec@1 44.141 (47.418) Prec@5 71.875 (72.696)
Epoch: [73][880/5005] Time 0.216 (0.214) Data 0.043 (0.049) Loss 2.3186 (2.2991) Prec@1 46.484 (47.410) Prec@5 69.922 (72.688)
Epoch: [73][890/5005] Time 0.215 (0.214) Data 0.058 (0.049) Loss 2.5934 (2.2985) Prec@1 44.141 (47.409) Prec@5 64.453 (72.687)
Epoch: [73][900/5005] Time 0.214 (0.214) Data 0.049 (0.049) Loss 2.2798 (2.2981) Prec@1 42.188 (47.413) Prec@5 71.875 (72.694)
Epoch: [73][910/5005] Time 0.218 (0.214) Data 0.048 (0.049) Loss 2.2389 (2.2978) Prec@1 50.391 (47.420) Prec@5 75.781 (72.691)
Epoch: [73][920/5005] Time 0.204 (0.214) Data 0.052 (0.049) Loss 2.3741 (2.2973) Prec@1 46.875 (47.429) Prec@5 72.266 (72.692)
Epoch: [73][930/5005] Time 0.212 (0.214) Data 0.044 (0.049) Loss 2.3778 (2.2969) Prec@1 50.000 (47.441) Prec@5 71.094 (72.704)
Epoch: [73][940/5005] Time 0.214 (0.214) Data 0.054 (0.049) Loss 2.1809 (2.2968) Prec@1 47.656 (47.445) Prec@5 76.172 (72.711)
Epoch: [73][950/5005] Time 0.205 (0.213) Data 0.064 (0.049) Loss 2.3807 (2.2975) Prec@1 47.656 (47.441) Prec@5 73.438 (72.707)
Epoch: [73][960/5005] Time 0.209 (0.213) Data 0.059 (0.049) Loss 2.6651 (2.2978) Prec@1 43.750 (47.432) Prec@5 68.359 (72.708)
Epoch: [73][970/5005] Time 0.206 (0.213) Data 0.058 (0.049) Loss 2.1576 (2.2975) Prec@1 50.000 (47.431) Prec@5 74.609 (72.710)
Epoch: [73][980/5005] Time 0.217 (0.213) Data 0.049 (0.049) Loss 2.1783 (2.2968) Prec@1 49.609 (47.444) Prec@5 75.391 (72.722)
Epoch: [73][990/5005] Time 0.216 (0.213) Data 0.047 (0.049) Loss 2.2383 (2.2970) Prec@1 50.781 (47.446) Prec@5 71.484 (72.717)
Epoch: [73][1000/5005] Time 0.210 (0.213) Data 0.045 (0.049) Loss 2.3928 (2.2969) Prec@1 44.531 (47.452) Prec@5 71.484 (72.712)
Epoch: [73][1010/5005] Time 0.211 (0.213) Data 0.049 (0.049) Loss 2.3078 (2.2964) Prec@1 47.656 (47.455) Prec@5 71.875 (72.722)
Epoch: [73][1020/5005] Time 0.210 (0.213) Data 0.047 (0.049) Loss 2.1853 (2.2969) Prec@1 56.641 (47.455) Prec@5 73.828 (72.709)
Epoch: [73][1030/5005] Time 0.205 (0.213) Data 0.045 (0.049) Loss 2.2433 (2.2964) Prec@1 46.875 (47.464) Prec@5 73.438 (72.714)
Epoch: [73][1040/5005] Time 0.217 (0.213) Data 0.046 (0.049) Loss 2.4307 (2.2964) Prec@1 41.016 (47.460) Prec@5 71.875 (72.717)
Epoch: [73][1050/5005] Time 0.207 (0.213) Data 0.042 (0.049) Loss 2.4900 (2.2965) Prec@1 45.703 (47.453) Prec@5 68.359 (72.713)
Epoch: [73][1060/5005] Time 0.215 (0.213) Data 0.043 (0.049) Loss 2.3660 (2.2969) Prec@1 47.266 (47.456) Prec@5 72.656 (72.710)
Epoch: [73][1070/5005] Time 0.216 (0.213) Data 0.044 (0.049) Loss 2.2573 (2.2970) Prec@1 44.531 (47.457) Prec@5 75.391 (72.711)
Epoch: [73][1080/5005] Time 0.203 (0.213) Data 0.048 (0.049) Loss 2.3074 (2.2972) Prec@1 45.312 (47.451) Prec@5 76.562 (72.721)
Epoch: [73][1090/5005] Time 0.205 (0.213) Data 0.044 (0.049) Loss 2.1632 (2.2971) Prec@1 48.438 (47.446) Prec@5 76.172 (72.723)
Epoch: [73][1100/5005] Time 0.212 (0.213) Data 0.051 (0.049) Loss 2.2189 (2.2969) Prec@1 48.828 (47.453) Prec@5 75.000 (72.725)
Epoch: [73][1110/5005] Time 0.216 (0.213) Data 0.042 (0.049) Loss 2.1262 (2.2969) Prec@1 50.391 (47.454) Prec@5 75.391 (72.724)
Epoch: [73][1120/5005] Time 0.208 (0.213) Data 0.042 (0.049) Loss 2.2239 (2.2964) Prec@1 46.484 (47.452) Prec@5 73.828 (72.737)
Epoch: [73][1130/5005] Time 0.217 (0.213) Data 0.043 (0.049) Loss 2.4233 (2.2967) Prec@1 46.094 (47.446) Prec@5 71.875 (72.741)
Epoch: [73][1140/5005] Time 0.214 (0.213) Data 0.044 (0.049) Loss 2.3458 (2.2964) Prec@1 45.703 (47.456) Prec@5 72.656 (72.750)
Epoch: [73][1150/5005] Time 0.216 (0.213) Data 0.044 (0.049) Loss 2.2586 (2.2959) Prec@1 45.312 (47.462) Prec@5 73.438 (72.755)
Epoch: [73][1160/5005] Time 0.214 (0.213) Data 0.045 (0.049) Loss 2.2740 (2.2960) Prec@1 47.656 (47.461) Prec@5 74.219 (72.750)
Epoch: [73][1170/5005] Time 0.214 (0.213) Data 0.045 (0.049) Loss 2.1860 (2.2961) Prec@1 46.875 (47.467) Prec@5 73.828 (72.748)
Epoch: [73][1180/5005] Time 0.220 (0.213) Data 0.043 (0.049) Loss 2.3963 (2.2961) Prec@1 45.312 (47.459) Prec@5 70.703 (72.749)
Epoch: [73][1190/5005] Time 0.202 (0.213) Data 0.063 (0.049) Loss 2.1830 (2.2959) Prec@1 49.219 (47.469) Prec@5 75.000 (72.753)
Epoch: [73][1200/5005] Time 0.202 (0.213) Data 0.047 (0.049) Loss 2.6796 (2.2962) Prec@1 42.578 (47.470) Prec@5 66.406 (72.754)
Epoch: [73][1210/5005] Time 0.217 (0.213) Data 0.044 (0.049) Loss 2.3061 (2.2968) Prec@1 48.828 (47.467) Prec@5 73.047 (72.751)
Epoch: [73][1220/5005] Time 0.207 (0.213) Data 0.059 (0.049) Loss 2.1715 (2.2969) Prec@1 47.656 (47.472) Prec@5 73.438 (72.748)
Epoch: [73][1230/5005] Time 0.209 (0.213) Data 0.058 (0.049) Loss 2.3140 (2.2968) Prec@1 49.219 (47.473) Prec@5 73.438 (72.750)
Epoch: [73][1240/5005] Time 0.203 (0.213) Data 0.046 (0.049) Loss 2.2065 (2.2968) Prec@1 50.391 (47.472) Prec@5 73.438 (72.745)
Epoch: [73][1250/5005] Time 0.212 (0.213) Data 0.044 (0.049) Loss 2.4965 (2.2972) Prec@1 41.406 (47.458) Prec@5 69.922 (72.736)
Epoch: [73][1260/5005] Time 0.217 (0.213) Data 0.053 (0.049) Loss 2.0457 (2.2966) Prec@1 48.828 (47.470) Prec@5 77.734 (72.744)
Epoch: [73][1270/5005] Time 0.212 (0.213) Data 0.045 (0.049) Loss 2.4708 (2.2974) Prec@1 43.750 (47.453) Prec@5 70.703 (72.731)
Epoch: [73][1280/5005] Time 0.215 (0.213) Data 0.050 (0.049) Loss 2.2801 (2.2977) Prec@1 45.312 (47.444) Prec@5 74.609 (72.739)
Epoch: [73][1290/5005] Time 0.214 (0.213) Data 0.044 (0.049) Loss 2.0806 (2.2973) Prec@1 50.000 (47.454) Prec@5 75.781 (72.738)
Epoch: [73][1300/5005] Time 0.216 (0.213) Data 0.044 (0.049) Loss 2.2936 (2.2971) Prec@1 48.438 (47.458) Prec@5 72.656 (72.744)
Epoch: [73][1310/5005] Time 0.212 (0.213) Data 0.045 (0.049) Loss 2.3224 (2.2968) Prec@1 48.438 (47.465) Prec@5 71.484 (72.757)
Epoch: [73][1320/5005] Time 0.214 (0.213) Data 0.044 (0.049) Loss 2.3129 (2.2964) Prec@1 46.484 (47.479) Prec@5 75.000 (72.765)
Epoch: [73][1330/5005] Time 0.215 (0.213) Data 0.043 (0.049) Loss 2.4780 (2.2968) Prec@1 44.141 (47.470) Prec@5 72.656 (72.762)
Epoch: [73][1340/5005] Time 0.214 (0.213) Data 0.043 (0.049) Loss 2.2570 (2.2965) Prec@1 48.438 (47.469) Prec@5 72.266 (72.768)
Epoch: [73][1350/5005] Time 0.212 (0.213) Data 0.042 (0.049) Loss 2.6187 (2.2967) Prec@1 45.312 (47.467) Prec@5 66.797 (72.776)
Epoch: [73][1360/5005] Time 0.213 (0.213) Data 0.042 (0.049) Loss 2.1068 (2.2965) Prec@1 50.391 (47.473) Prec@5 74.219 (72.777)
Epoch: [73][1370/5005] Time 0.212 (0.213) Data 0.043 (0.049) Loss 2.3390 (2.2961) Prec@1 46.484 (47.471) Prec@5 71.484 (72.786)
Epoch: [73][1380/5005] Time 0.212 (0.213) Data 0.045 (0.049) Loss 2.2612 (2.2961) Prec@1 48.828 (47.482) Prec@5 76.172 (72.789)
Epoch: [73][1390/5005] Time 0.216 (0.213) Data 0.042 (0.049) Loss 2.1626 (2.2961) Prec@1 48.047 (47.478) Prec@5 76.172 (72.783)
Epoch: [73][1400/5005] Time 0.217 (0.213) Data 0.042 (0.049) Loss 2.3377 (2.2954) Prec@1 48.047 (47.493) Prec@5 72.266 (72.798)
Epoch: [73][1410/5005] Time 0.210 (0.213) Data 0.064 (0.049) Loss 2.3566 (2.2952) Prec@1 46.484 (47.493) Prec@5 70.703 (72.801)
Epoch: [73][1420/5005] Time 0.206 (0.213) Data 0.058 (0.049) Loss 2.4684 (2.2955) Prec@1 42.578 (47.479) Prec@5 67.578 (72.796)
Epoch: [73][1430/5005] Time 0.195 (0.213) Data 0.058 (0.049) Loss 1.9414 (2.2951) Prec@1 56.641 (47.490) Prec@5 75.391 (72.799)
Epoch: [73][1440/5005] Time 0.197 (0.213) Data 0.041 (0.049) Loss 1.9953 (2.2949) Prec@1 54.688 (47.487) Prec@5 80.469 (72.805)
Epoch: [73][1450/5005] Time 0.220 (0.213) Data 0.043 (0.049) Loss 2.3123 (2.2949) Prec@1 50.781 (47.488) Prec@5 72.656 (72.802)
Epoch: [73][1460/5005] Time 0.204 (0.213) Data 0.040 (0.049) Loss 2.3037 (2.2947) Prec@1 47.266 (47.496) Prec@5 71.484 (72.801)
Epoch: [73][1470/5005] Time 0.215 (0.213) Data 0.046 (0.049) Loss 2.3007 (2.2950) Prec@1 50.781 (47.498) Prec@5 69.922 (72.794)
Epoch: [73][1480/5005] Time 0.210 (0.213) Data 0.046 (0.049) Loss 2.2102 (2.2953) Prec@1 50.781 (47.500) Prec@5 75.000 (72.789)
Epoch: [73][1490/5005] Time 0.198 (0.213) Data 0.054 (0.049) Loss 2.5554 (2.2954) Prec@1 47.266 (47.505) Prec@5 68.750 (72.790)
Epoch: [73][1500/5005] Time 0.223 (0.213) Data 0.046 (0.049) Loss 2.4329 (2.2954) Prec@1 46.094 (47.504) Prec@5 70.312 (72.791)
Epoch: [73][1510/5005] Time 0.210 (0.213) Data 0.051 (0.049) Loss 2.1988 (2.2954) Prec@1 45.703 (47.501) Prec@5 74.609 (72.797)
Epoch: [73][1520/5005] Time 0.209 (0.212) Data 0.049 (0.049) Loss 2.3747 (2.2955) Prec@1 48.438 (47.504) Prec@5 72.656 (72.794)
Epoch: [73][1530/5005] Time 0.213 (0.212) Data 0.047 (0.049) Loss 2.5173 (2.2956) Prec@1 48.047 (47.510) Prec@5 68.359 (72.787)
Epoch: [73][1540/5005] Time 0.215 (0.212) Data 0.045 (0.049) Loss 2.4363 (2.2960) Prec@1 46.875 (47.503) Prec@5 68.750 (72.778)
Epoch: [73][1550/5005] Time 0.209 (0.212) Data 0.043 (0.049) Loss 2.2891 (2.2959) Prec@1 49.609 (47.509) Prec@5 74.219 (72.780)
Epoch: [73][1560/5005] Time 0.208 (0.213) Data 0.051 (0.049) Loss 2.1699 (2.2959) Prec@1 49.609 (47.509) Prec@5 73.438 (72.783)
Epoch: [73][1570/5005] Time 0.208 (0.212) Data 0.049 (0.049) Loss 2.2052 (2.2956) Prec@1 46.875 (47.516) Prec@5 77.344 (72.783)
Epoch: [73][1580/5005] Time 0.209 (0.212) Data 0.049 (0.049) Loss 2.1728 (2.2958) Prec@1 46.094 (47.510) Prec@5 75.781 (72.781)
Epoch: [73][1590/5005] Time 0.202 (0.212) Data 0.043 (0.049) Loss 2.1850 (2.2957) Prec@1 54.688 (47.511) Prec@5 73.438 (72.786)
Epoch: [73][1600/5005] Time 0.216 (0.212) Data 0.045 (0.049) Loss 2.2590 (2.2959) Prec@1 48.438 (47.510) Prec@5 74.609 (72.780)
Epoch: [73][1610/5005] Time 0.201 (0.212) Data 0.046 (0.049) Loss 2.4705 (2.2960) Prec@1 45.703 (47.508) Prec@5 70.703 (72.779)
Epoch: [73][1620/5005] Time 0.216 (0.212) Data 0.044 (0.049) Loss 2.3927 (2.2957) Prec@1 43.359 (47.509) Prec@5 71.094 (72.782)
Epoch: [73][1630/5005] Time 0.214 (0.212) Data 0.043 (0.049) Loss 2.3125 (2.2957) Prec@1 45.312 (47.504) Prec@5 71.094 (72.780)
Epoch: [73][1640/5005] Time 0.217 (0.212) Data 0.048 (0.049) Loss 2.4253 (2.2961) Prec@1 47.656 (47.505) Prec@5 69.531 (72.770)
Epoch: [73][1650/5005] Time 0.216 (0.212) Data 0.044 (0.049) Loss 2.4227 (2.2964) Prec@1 46.484 (47.507) Prec@5 69.922 (72.768)
Epoch: [73][1660/5005] Time 0.215 (0.212) Data 0.049 (0.049) Loss 2.2431 (2.2958) Prec@1 46.094 (47.518) Prec@5 75.781 (72.777)
Epoch: [73][1670/5005] Time 0.207 (0.212) Data 0.042 (0.049) Loss 2.1439 (2.2960) Prec@1 50.781 (47.517) Prec@5 75.781 (72.781)
Epoch: [73][1680/5005] Time 0.214 (0.212) Data 0.042 (0.049) Loss 2.4366 (2.2964) Prec@1 45.703 (47.515) Prec@5 69.922 (72.779)
Epoch: [73][1690/5005] Time 0.209 (0.212) Data 0.046 (0.049) Loss 2.1143 (2.2964) Prec@1 50.391 (47.519) Prec@5 76.562 (72.776)
Epoch: [73][1700/5005] Time 0.199 (0.212) Data 0.060 (0.049) Loss 2.3037 (2.2960) Prec@1 44.922 (47.524) Prec@5 71.484 (72.783)
Epoch: [73][1710/5005] Time 0.211 (0.212) Data 0.043 (0.049) Loss 2.1314 (2.2955) Prec@1 44.922 (47.529) Prec@5 76.562 (72.795)
Epoch: [73][1720/5005] Time 0.211 (0.212) Data 0.043 (0.049) Loss 2.4329 (2.2956) Prec@1 46.094 (47.527) Prec@5 69.922 (72.792)
Epoch: [73][1730/5005] Time 0.214 (0.212) Data 0.048 (0.049) Loss 2.2374 (2.2954) Prec@1 49.219 (47.531) Prec@5 74.609 (72.798)
Epoch: [73][1740/5005] Time 0.208 (0.212) Data 0.045 (0.049) Loss 2.4548 (2.2953) Prec@1 43.359 (47.529) Prec@5 70.312 (72.800)
Epoch: [73][1750/5005] Time 0.206 (0.212) Data 0.047 (0.049) Loss 2.2229 (2.2950) Prec@1 47.656 (47.536) Prec@5 76.953 (72.810)
Epoch: [73][1760/5005] Time 0.208 (0.212) Data 0.042 (0.049) Loss 2.1383 (2.2949) Prec@1 49.219 (47.538) Prec@5 78.906 (72.815)
Epoch: [73][1770/5005] Time 0.205 (0.212) Data 0.048 (0.049) Loss 2.2210 (2.2948) Prec@1 42.969 (47.538) Prec@5 74.609 (72.817)
Epoch: [73][1780/5005] Time 0.202 (0.212) Data 0.046 (0.049) Loss 2.0846 (2.2944) Prec@1 52.734 (47.540) Prec@5 76.953 (72.827)
Epoch: [73][1790/5005] Time 0.215 (0.212) Data 0.041 (0.049) Loss 2.1904 (2.2942) Prec@1 48.828 (47.542) Prec@5 74.609 (72.825)
Epoch: [73][1800/5005] Time 0.211 (0.212) Data 0.042 (0.049) Loss 2.2603 (2.2941) Prec@1 51.953 (47.541) Prec@5 75.781 (72.831)
Epoch: [73][1810/5005] Time 0.215 (0.212) Data 0.043 (0.048) Loss 2.2236 (2.2942) Prec@1 51.172 (47.539) Prec@5 73.438 (72.828)
Epoch: [73][1820/5005] Time 0.216 (0.212) Data 0.047 (0.048) Loss 2.2143 (2.2940) Prec@1 47.656 (47.536) Prec@5 74.609 (72.836)
Epoch: [73][1830/5005] Time 0.211 (0.212) Data 0.053 (0.048) Loss 2.1103 (2.2935) Prec@1 48.047 (47.538) Prec@5 76.562 (72.839)
Epoch: [73][1840/5005] Time 0.205 (0.212) Data 0.047 (0.048) Loss 2.3005 (2.2934) Prec@1 44.922 (47.539) Prec@5 73.438 (72.841)
Epoch: [73][1850/5005] Time 0.214 (0.212) Data 0.049 (0.048) Loss 2.2831 (2.2933) Prec@1 51.172 (47.539) Prec@5 74.219 (72.839)
Epoch: [73][1860/5005] Time 0.204 (0.212) Data 0.055 (0.048) Loss 2.2714 (2.2936) Prec@1 49.609 (47.529) Prec@5 73.047 (72.836)
Epoch: [73][1870/5005] Time 0.212 (0.212) Data 0.049 (0.049) Loss 2.4575 (2.2940) Prec@1 44.922 (47.526) Prec@5 73.047 (72.831)
Epoch: [73][1880/5005] Time 0.207 (0.212) Data 0.042 (0.049) Loss 2.3686 (2.2942) Prec@1 43.750 (47.521) Prec@5 72.656 (72.829)
Epoch: [73][1890/5005] Time 0.208 (0.212) Data 0.040 (0.048) Loss 2.4091 (2.2943) Prec@1 46.484 (47.521) Prec@5 70.703 (72.827)
Epoch: [73][1900/5005] Time 0.211 (0.212) Data 0.042 (0.048) Loss 2.2782 (2.2947) Prec@1 49.609 (47.515) Prec@5 74.609 (72.826)
Epoch: [73][1910/5005] Time 0.209 (0.212) Data 0.042 (0.048) Loss 2.3019 (2.2946) Prec@1 46.484 (47.517) Prec@5 73.828 (72.827)
Epoch: [73][1920/5005] Time 0.209 (0.212) Data 0.041 (0.048) Loss 2.1943 (2.2945) Prec@1 46.875 (47.517) Prec@5 75.000 (72.829)
Epoch: [73][1930/5005] Time 0.200 (0.212) Data 0.041 (0.048) Loss 2.1476 (2.2941) Prec@1 54.688 (47.525) Prec@5 76.172 (72.835)
Epoch: [73][1940/5005] Time 0.210 (0.212) Data 0.042 (0.048) Loss 2.1263 (2.2938) Prec@1 48.828 (47.524) Prec@5 74.609 (72.843)
Epoch: [73][1950/5005] Time 0.210 (0.212) Data 0.060 (0.048) Loss 2.4397 (2.2937) Prec@1 41.406 (47.524) Prec@5 72.656 (72.849)
Epoch: [73][1960/5005] Time 0.212 (0.212) Data 0.043 (0.048) Loss 2.3140 (2.2936) Prec@1 46.484 (47.525) Prec@5 71.875 (72.850)
Epoch: [73][1970/5005] Time 0.209 (0.212) Data 0.041 (0.048) Loss 2.2931 (2.2938) Prec@1 47.266 (47.516) Prec@5 72.656 (72.846)
Epoch: [73][1980/5005] Time 0.213 (0.212) Data 0.047 (0.048) Loss 2.1353 (2.2936) Prec@1 51.953 (47.519) Prec@5 73.438 (72.849)
Epoch: [73][1990/5005] Time 0.211 (0.212) Data 0.050 (0.048) Loss 2.1762 (2.2935) Prec@1 49.609 (47.519) Prec@5 73.828 (72.853)
Epoch: [73][2000/5005] Time 0.212 (0.212) Data 0.042 (0.048) Loss 2.1773 (2.2938) Prec@1 51.172 (47.516) Prec@5 76.562 (72.847)
Epoch: [73][2010/5005] Time 0.194 (0.212) Data 0.060 (0.048) Loss 2.1378 (2.2937) Prec@1 48.438 (47.513) Prec@5 75.391 (72.847)
Epoch: [73][2020/5005] Time 0.194 (0.212) Data 0.053 (0.049) Loss 2.4086 (2.2938) Prec@1 46.094 (47.506) Prec@5 70.703 (72.843)
Epoch: [73][2030/5005] Time 0.206 (0.212) Data 0.057 (0.049) Loss 2.1694 (2.2938) Prec@1 48.047 (47.509) Prec@5 75.781 (72.841)
Epoch: [73][2040/5005] Time 0.208 (0.212) Data 0.060 (0.049) Loss 1.9694 (2.2936) Prec@1 53.516 (47.508) Prec@5 76.953 (72.845)
Epoch: [73][2050/5005] Time 0.207 (0.212) Data 0.061 (0.049) Loss 2.4334 (2.2935) Prec@1 43.750 (47.510) Prec@5 70.312 (72.847)
Epoch: [73][2060/5005] Time 0.202 (0.212) Data 0.059 (0.049) Loss 2.2914 (2.2934) Prec@1 46.094 (47.508) Prec@5 69.141 (72.848)
Epoch: [73][2070/5005] Time 0.201 (0.212) Data 0.056 (0.049) Loss 2.4548 (2.2938) Prec@1 41.406 (47.501) Prec@5 73.828 (72.840)
Epoch: [73][2080/5005] Time 0.208 (0.212) Data 0.041 (0.049) Loss 2.3426 (2.2940) Prec@1 46.484 (47.496) Prec@5 71.875 (72.837)
Epoch: [73][2090/5005] Time 0.211 (0.212) Data 0.047 (0.049) Loss 2.1028 (2.2934) Prec@1 50.391 (47.503) Prec@5 75.000 (72.846)
Epoch: [73][2100/5005] Time 0.210 (0.212) Data 0.046 (0.049) Loss 2.2966 (2.2933) Prec@1 46.484 (47.502) Prec@5 73.438 (72.850)
Epoch: [73][2110/5005] Time 0.201 (0.212) Data 0.047 (0.049) Loss 2.1352 (2.2932) Prec@1 48.828 (47.507) Prec@5 75.781 (72.850)
Epoch: [73][2120/5005] Time 0.203 (0.212) Data 0.047 (0.049) Loss 2.3779 (2.2930) Prec@1 44.531 (47.509) Prec@5 70.312 (72.856)
Epoch: [73][2130/5005] Time 0.201 (0.212) Data 0.058 (0.049) Loss 2.2100 (2.2926) Prec@1 51.172 (47.520) Prec@5 73.047 (72.865)
Epoch: [73][2140/5005] Time 0.206 (0.212) Data 0.058 (0.049) Loss 2.2397 (2.2926) Prec@1 49.609 (47.524) Prec@5 73.047 (72.863)
Epoch: [73][2150/5005] Time 0.218 (0.212) Data 0.042 (0.049) Loss 2.1606 (2.2925) Prec@1 53.516 (47.523) Prec@5 76.172 (72.865)
Epoch: [73][2160/5005] Time 0.211 (0.211) Data 0.042 (0.049) Loss 2.1973 (2.2924) Prec@1 48.828 (47.527) Prec@5 75.781 (72.869)
Epoch: [73][2170/5005] Time 0.207 (0.211) Data 0.060 (0.049) Loss 2.0757 (2.2922) Prec@1 53.906 (47.534) Prec@5 76.172 (72.873)
Epoch: [73][2180/5005] Time 0.206 (0.211) Data 0.047 (0.049) Loss 2.2267 (2.2922) Prec@1 52.734 (47.541) Prec@5 69.922 (72.869)
Epoch: [73][2190/5005] Time 0.188 (0.211) Data 0.066 (0.049) Loss 2.4683 (2.2924) Prec@1 42.969 (47.532) Prec@5 67.969 (72.865)
Epoch: [73][2200/5005] Time 0.214 (0.211) Data 0.049 (0.049) Loss 2.4172 (2.2926) Prec@1 41.797 (47.526) Prec@5 68.359 (72.863)
Epoch: [73][2210/5005] Time 0.203 (0.211) Data 0.048 (0.049) Loss 2.5102 (2.2927) Prec@1 44.141 (47.526) Prec@5 73.047 (72.866)
Epoch: [73][2220/5005] Time 0.212 (0.211) Data 0.051 (0.049) Loss 2.3920 (2.2924) Prec@1 50.391 (47.533) Prec@5 72.656 (72.874)
Epoch: [73][2230/5005] Time 0.201 (0.211) Data 0.066 (0.049) Loss 2.3001 (2.2923) Prec@1 45.312 (47.531) Prec@5 73.047 (72.874)
Epoch: [73][2240/5005] Time 0.208 (0.211) Data 0.047 (0.049) Loss 2.2800 (2.2924) Prec@1 47.266 (47.528) Prec@5 74.609 (72.878)
Epoch: [73][2250/5005] Time 0.210 (0.211) Data 0.042 (0.049) Loss 2.1968 (2.2923) Prec@1 46.484 (47.526) Prec@5 72.266 (72.877)
Epoch: [73][2260/5005] Time 0.213 (0.211) Data 0.043 (0.049) Loss 2.3042 (2.2922) Prec@1 48.828 (47.528) Prec@5 71.094 (72.878)
Epoch: [73][2270/5005] Time 0.216 (0.211) Data 0.043 (0.049) Loss 2.4437 (2.2919) Prec@1 46.094 (47.533) Prec@5 71.094 (72.883)
Epoch: [73][2280/5005] Time 0.210 (0.211) Data 0.046 (0.049) Loss 2.3103 (2.2919) Prec@1 50.000 (47.531) Prec@5 74.609 (72.884)
Epoch: [73][2290/5005] Time 0.203 (0.211) Data 0.044 (0.049) Loss 2.1259 (2.2920) Prec@1 53.516 (47.532) Prec@5 77.344 (72.883)
Epoch: [73][2300/5005] Time 0.214 (0.211) Data 0.044 (0.049) Loss 2.1532 (2.2920) Prec@1 46.875 (47.536) Prec@5 73.047 (72.880)
Epoch: [73][2310/5005] Time 0.198 (0.211) Data 0.057 (0.049) Loss 2.1936 (2.2919) Prec@1 46.875 (47.539) Prec@5 71.484 (72.882)
Epoch: [73][2320/5005] Time 0.196 (0.211) Data 0.061 (0.049) Loss 2.4851 (2.2918) Prec@1 45.703 (47.544) Prec@5 71.094 (72.883)
Epoch: [73][2330/5005] Time 0.208 (0.211) Data 0.048 (0.049) Loss 2.1019 (2.2916) Prec@1 50.781 (47.546) Prec@5 78.125 (72.890)
Epoch: [73][2340/5005] Time 0.209 (0.211) Data 0.051 (0.049) Loss 2.1497 (2.2914) Prec@1 51.172 (47.548) Prec@5 74.609 (72.894)
Epoch: [73][2350/5005] Time 0.197 (0.211) Data 0.051 (0.049) Loss 2.1971 (2.2911) Prec@1 46.875 (47.552) Prec@5 75.391 (72.897)
Epoch: [73][2360/5005] Time 0.211 (0.211) Data 0.047 (0.049) Loss 2.4271 (2.2911) Prec@1 42.578 (47.552) Prec@5 70.312 (72.894)
Epoch: [73][2370/5005] Time 0.206 (0.211) Data 0.045 (0.049) Loss 2.3013 (2.2912) Prec@1 46.484 (47.550) Prec@5 71.484 (72.894)
Epoch: [73][2380/5005] Time 0.205 (0.211) Data 0.040 (0.049) Loss 2.2756 (2.2909) Prec@1 50.391 (47.554) Prec@5 71.875 (72.900)
Epoch: [73][2390/5005] Time 0.186 (0.211) Data 0.071 (0.049) Loss 2.2759 (2.2908) Prec@1 50.781 (47.553) Prec@5 70.703 (72.901)
Epoch: [73][2400/5005] Time 0.211 (0.211) Data 0.047 (0.049) Loss 2.3127 (2.2908) Prec@1 45.703 (47.551) Prec@5 72.266 (72.900)
Epoch: [73][2410/5005] Time 0.212 (0.211) Data 0.049 (0.049) Loss 2.5829 (2.2909) Prec@1 44.531 (47.552) Prec@5 68.359 (72.897)
Epoch: [73][2420/5005] Time 0.208 (0.211) Data 0.043 (0.049) Loss 2.3268 (2.2909) Prec@1 48.438 (47.558) Prec@5 71.875 (72.899)
Epoch: [73][2430/5005] Time 0.203 (0.211) Data 0.040 (0.049) Loss 2.2372 (2.2911) Prec@1 47.266 (47.554) Prec@5 71.875 (72.895)
Epoch: [73][2440/5005] Time 0.212 (0.211) Data 0.043 (0.049) Loss 1.9911 (2.2910) Prec@1 55.078 (47.557) Prec@5 78.906 (72.894)
Epoch: [73][2450/5005] Time 0.209 (0.211) Data 0.043 (0.049) Loss 2.2325 (2.2908) Prec@1 45.703 (47.563) Prec@5 72.266 (72.896)
Epoch: [73][2460/5005] Time 0.212 (0.211) Data 0.044 (0.049) Loss 2.1558 (2.2907) Prec@1 48.828 (47.568) Prec@5 75.000 (72.897)
Epoch: [73][2470/5005] Time 0.205 (0.211) Data 0.060 (0.049) Loss 2.1893 (2.2904) Prec@1 49.219 (47.569) Prec@5 75.000 (72.903)
Epoch: [73][2480/5005] Time 0.212 (0.211) Data 0.048 (0.049) Loss 2.4149 (2.2906) Prec@1 44.922 (47.571) Prec@5 71.484 (72.899)
Epoch: [73][2490/5005] Time 0.208 (0.211) Data 0.054 (0.049) Loss 2.0455 (2.2907) Prec@1 52.734 (47.573) Prec@5 76.562 (72.898)
Epoch: [73][2500/5005] Time 0.218 (0.211) Data 0.042 (0.049) Loss 2.4064 (2.2906) Prec@1 46.484 (47.574) Prec@5 69.922 (72.897)
Epoch: [73][2510/5005] Time 0.207 (0.211) Data 0.057 (0.049) Loss 2.4416 (2.2908) Prec@1 44.141 (47.569) Prec@5 73.438 (72.897)
Epoch: [73][2520/5005] Time 0.202 (0.211) Data 0.045 (0.049) Loss 2.2002 (2.2909) Prec@1 50.781 (47.569) Prec@5 71.875 (72.890)
Epoch: [73][2530/5005] Time 0.210 (0.211) Data 0.054 (0.049) Loss 2.3783 (2.2909) Prec@1 45.703 (47.570) Prec@5 70.312 (72.888)
Epoch: [73][2540/5005] Time 0.209 (0.211) Data 0.048 (0.049) Loss 2.3155 (2.2909) Prec@1 46.094 (47.572) Prec@5 73.438 (72.888)
Epoch: [73][2550/5005] Time 0.211 (0.211) Data 0.046 (0.049) Loss 2.1972 (2.2910) Prec@1 45.703 (47.567) Prec@5 75.781 (72.889)
Epoch: [73][2560/5005] Time 0.211 (0.211) Data 0.045 (0.049) Loss 2.4366 (2.2909) Prec@1 44.922 (47.570) Prec@5 71.875 (72.890)
Epoch: [73][2570/5005] Time 0.213 (0.211) Data 0.043 (0.049) Loss 2.2193 (2.2910) Prec@1 47.266 (47.568) Prec@5 74.609 (72.890)
Epoch: [73][2580/5005] Time 0.201 (0.211) Data 0.060 (0.049) Loss 2.3147 (2.2913) Prec@1 49.219 (47.562) Prec@5 73.047 (72.884)
Epoch: [73][2590/5005] Time 0.208 (0.211) Data 0.040 (0.049) Loss 2.2709 (2.2911) Prec@1 48.438 (47.565) Prec@5 73.438 (72.884)
Epoch: [73][2600/5005] Time 0.213 (0.211) Data 0.050 (0.049) Loss 2.4444 (2.2913) Prec@1 44.141 (47.564) Prec@5 68.750 (72.879)
Epoch: [73][2610/5005] Time 0.204 (0.211) Data 0.041 (0.049) Loss 2.4680 (2.2912) Prec@1 47.656 (47.560) Prec@5 69.141 (72.880)
Epoch: [73][2620/5005] Time 0.207 (0.211) Data 0.046 (0.049) Loss 2.1482 (2.2911) Prec@1 50.781 (47.564) Prec@5 73.438 (72.881)
Epoch: [73][2630/5005] Time 0.215 (0.211) Data 0.046 (0.049) Loss 2.5304 (2.2915) Prec@1 44.141 (47.557) Prec@5 74.609 (72.877)
Epoch: [73][2640/5005] Time 0.204 (0.211) Data 0.059 (0.049) Loss 2.5711 (2.2916) Prec@1 41.016 (47.557) Prec@5 66.016 (72.875)
Epoch: [73][2650/5005] Time 0.214 (0.211) Data 0.049 (0.049) Loss 2.5235 (2.2916) Prec@1 42.188 (47.558) Prec@5 67.188 (72.874)
Epoch: [73][2660/5005] Time 0.204 (0.211) Data 0.046 (0.049) Loss 2.1762 (2.2914) Prec@1 49.609 (47.561) Prec@5 73.438 (72.874)
Epoch: [73][2670/5005] Time 0.192 (0.211) Data 0.059 (0.049) Loss 1.9381 (2.2911) Prec@1 51.172 (47.566) Prec@5 79.297 (72.877)
Epoch: [73][2680/5005] Time 0.188 (0.211) Data 0.055 (0.049) Loss 2.2230 (2.2913) Prec@1 48.438 (47.557) Prec@5 73.438 (72.874)
Epoch: [73][2690/5005] Time 0.206 (0.211) Data 0.042 (0.049) Loss 2.1265 (2.2910) Prec@1 49.219 (47.561) Prec@5 76.562 (72.879)
Epoch: [73][2700/5005] Time 0.196 (0.211) Data 0.048 (0.049) Loss 2.3077 (2.2911) Prec@1 46.484 (47.559) Prec@5 71.875 (72.881)
Epoch: [73][2710/5005] Time 0.210 (0.211) Data 0.049 (0.049) Loss 2.2674 (2.2912) Prec@1 47.266 (47.553) Prec@5 70.312 (72.877)
Epoch: [73][2720/5005] Time 0.215 (0.211) Data 0.043 (0.049) Loss 2.2244 (2.2912) Prec@1 53.906 (47.556) Prec@5 74.219 (72.876)
Epoch: [73][2730/5005] Time 0.208 (0.211) Data 0.052 (0.049) Loss 2.3306 (2.2909) Prec@1 47.266 (47.558) Prec@5 69.531 (72.877)
Epoch: [73][2740/5005] Time 0.205 (0.211) Data 0.045 (0.049) Loss 2.1852 (2.2909) Prec@1 48.438 (47.557) Prec@5 76.562 (72.877)
Epoch: [73][2750/5005] Time 0.205 (0.211) Data 0.048 (0.049) Loss 2.2174 (2.2907) Prec@1 48.438 (47.562) Prec@5 75.391 (72.881)
Epoch: [73][2760/5005] Time 0.205 (0.211) Data 0.048 (0.049) Loss 2.1975 (2.2905) Prec@1 51.953 (47.568) Prec@5 73.047 (72.882)
Epoch: [73][2770/5005] Time 0.204 (0.211) Data 0.061 (0.049) Loss 2.2738 (2.2907) Prec@1 47.266 (47.565) Prec@5 75.391 (72.884)
Epoch: [73][2780/5005] Time 0.207 (0.211) Data 0.055 (0.049) Loss 2.4414 (2.2906) Prec@1 45.312 (47.570) Prec@5 71.094 (72.885)
Epoch: [73][2790/5005] Time 0.214 (0.211) Data 0.044 (0.049) Loss 2.5679 (2.2908) Prec@1 42.188 (47.572) Prec@5 67.188 (72.885)
Epoch: [73][2800/5005] Time 0.208 (0.211) Data 0.047 (0.049) Loss 1.9414 (2.2907) Prec@1 51.562 (47.578) Prec@5 80.469 (72.888)
Epoch: [73][2810/5005] Time 0.196 (0.211) Data 0.051 (0.049) Loss 2.3863 (2.2906) Prec@1 46.484 (47.581) Prec@5 69.922 (72.890)
Epoch: [73][2820/5005] Time 0.212 (0.211) Data 0.054 (0.049) Loss 2.1054 (2.2904) Prec@1 47.656 (47.580) Prec@5 77.344 (72.894)
Epoch: [73][2830/5005] Time 0.211 (0.211) Data 0.058 (0.049) Loss 2.6573 (2.2906) Prec@1 41.797 (47.575) Prec@5 67.969 (72.893)
Epoch: [73][2840/5005] Time 0.198 (0.211) Data 0.045 (0.049) Loss 2.4227 (2.2905) Prec@1 43.750 (47.572) Prec@5 73.047 (72.895)
Epoch: [73][2850/5005] Time 0.203 (0.211) Data 0.042 (0.049) Loss 2.2373 (2.2904) Prec@1 50.391 (47.575) Prec@5 73.438 (72.895)
Epoch: [73][2860/5005] Time 0.205 (0.211) Data 0.042 (0.049) Loss 2.3273 (2.2906) Prec@1 50.391 (47.574) Prec@5 71.094 (72.894)
Epoch: [73][2870/5005] Time 0.195 (0.211) Data 0.044 (0.049) Loss 2.1338 (2.2903) Prec@1 51.562 (47.582) Prec@5 76.172 (72.901)
Epoch: [73][2880/5005] Time 0.211 (0.211) Data 0.043 (0.049) Loss 2.1633 (2.2902) Prec@1 48.438 (47.584) Prec@5 73.828 (72.900)
Epoch: [73][2890/5005] Time 0.221 (0.211) Data 0.046 (0.049) Loss 2.4525 (2.2901) Prec@1 37.500 (47.585) Prec@5 70.312 (72.904)
Epoch: [73][2900/5005] Time 0.217 (0.211) Data 0.047 (0.049) Loss 2.1035 (2.2898) Prec@1 49.219 (47.586) Prec@5 79.688 (72.912)
Epoch: [73][2910/5005] Time 0.212 (0.211) Data 0.042 (0.049) Loss 2.2502 (2.2899) Prec@1 44.141 (47.584) Prec@5 74.609 (72.912)
Epoch: [73][2920/5005] Time 0.205 (0.211) Data 0.048 (0.049) Loss 2.4238 (2.2899) Prec@1 43.359 (47.583) Prec@5 71.094 (72.912)
Epoch: [73][2930/5005] Time 0.213 (0.211) Data 0.045 (0.049) Loss 2.4547 (2.2900) Prec@1 46.484 (47.582) Prec@5 73.438 (72.911)
Epoch: [73][2940/5005] Time 0.206 (0.211) Data 0.043 (0.049) Loss 2.3380 (2.2897) Prec@1 46.094 (47.582) Prec@5 74.609 (72.916)
Epoch: [73][2950/5005] Time 0.216 (0.211) Data 0.048 (0.049) Loss 2.4063 (2.2895) Prec@1 44.922 (47.583) Prec@5 73.047 (72.923)
Epoch: [73][2960/5005] Time 0.209 (0.211) Data 0.044 (0.049) Loss 2.2442 (2.2895) Prec@1 48.047 (47.587) Prec@5 71.484 (72.923)
Epoch: [73][2970/5005] Time 0.200 (0.211) Data 0.058 (0.049) Loss 2.4438 (2.2893) Prec@1 40.234 (47.586) Prec@5 69.922 (72.927)
Epoch: [73][2980/5005] Time 0.204 (0.211) Data 0.039 (0.049) Loss 2.5153 (2.2895) Prec@1 45.703 (47.587) Prec@5 69.531 (72.925)
Epoch: [73][2990/5005] Time 0.203 (0.211) Data 0.064 (0.049) Loss 2.2215 (2.2895) Prec@1 50.000 (47.586) Prec@5 73.828 (72.928)
Epoch: [73][3000/5005] Time 0.210 (0.211) Data 0.042 (0.049) Loss 2.2264 (2.2893) Prec@1 48.828 (47.588) Prec@5 75.781 (72.931)
Epoch: [73][3010/5005] Time 0.215 (0.211) Data 0.046 (0.049) Loss 2.3263 (2.2896) Prec@1 47.656 (47.586) Prec@5 71.094 (72.928)
Epoch: [73][3020/5005] Time 0.208 (0.210) Data 0.045 (0.049) Loss 2.2521 (2.2897) Prec@1 44.141 (47.583) Prec@5 73.828 (72.925)
Epoch: [73][3030/5005] Time 0.205 (0.210) Data 0.048 (0.049) Loss 2.1663 (2.2896) Prec@1 49.609 (47.587) Prec@5 75.391 (72.927)
Epoch: [73][3040/5005] Time 0.207 (0.210) Data 0.045 (0.049) Loss 2.1919 (2.2894) Prec@1 49.609 (47.593) Prec@5 73.828 (72.930)
Epoch: [73][3050/5005] Time 0.212 (0.210) Data 0.042 (0.049) Loss 2.2227 (2.2894) Prec@1 46.484 (47.589) Prec@5 73.828 (72.930)
Epoch: [73][3060/5005] Time 0.211 (0.210) Data 0.047 (0.049) Loss 2.1454 (2.2892) Prec@1 53.906 (47.593) Prec@5 73.438 (72.933)
Epoch: [73][3070/5005] Time 0.209 (0.210) Data 0.046 (0.049) Loss 2.2053 (2.2892) Prec@1 48.438 (47.595) Prec@5 74.219 (72.934)
Epoch: [73][3080/5005] Time 0.213 (0.210) Data 0.045 (0.049) Loss 2.1973 (2.2892) Prec@1 46.094 (47.589) Prec@5 72.656 (72.932)
Epoch: [73][3090/5005] Time 0.203 (0.210) Data 0.043 (0.049) Loss 2.5560 (2.2891) Prec@1 41.406 (47.594) Prec@5 67.188 (72.933)
Epoch: [73][3100/5005] Time 0.219 (0.210) Data 0.045 (0.049) Loss 2.4171 (2.2891) Prec@1 44.141 (47.592) Prec@5 69.531 (72.932)
Epoch: [73][3110/5005] Time 0.213 (0.210) Data 0.042 (0.049) Loss 1.9919 (2.2888) Prec@1 52.344 (47.600) Prec@5 78.906 (72.938)
Epoch: [73][3120/5005] Time 0.210 (0.210) Data 0.046 (0.048) Loss 2.2409 (2.2887) Prec@1 45.703 (47.601) Prec@5 74.219 (72.937)
Epoch: [73][3130/5005] Time 0.209 (0.210) Data 0.047 (0.048) Loss 2.3686 (2.2886) Prec@1 46.094 (47.608) Prec@5 69.141 (72.939)
Epoch: [73][3140/5005] Time 0.193 (0.210) Data 0.062 (0.049) Loss 2.1357 (2.2884) Prec@1 51.172 (47.612) Prec@5 74.609 (72.943)
Epoch: [73][3150/5005] Time 0.201 (0.210) Data 0.067 (0.049) Loss 2.2327 (2.2882) Prec@1 51.172 (47.616) Prec@5 75.391 (72.946)
Epoch: [73][3160/5005] Time 0.209 (0.210) Data 0.047 (0.049) Loss 2.1223 (2.2882) Prec@1 48.047 (47.616) Prec@5 74.219 (72.948)
Epoch: [73][3170/5005] Time 0.197 (0.210) Data 0.043 (0.049) Loss 2.3237 (2.2882) Prec@1 48.828 (47.618) Prec@5 72.656 (72.945)
Epoch: [73][3180/5005] Time 0.205 (0.210) Data 0.046 (0.049) Loss 2.1396 (2.2882) Prec@1 51.562 (47.621) Prec@5 75.391 (72.945)
Epoch: [73][3190/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.2724 (2.2882) Prec@1 46.875 (47.625) Prec@5 72.266 (72.944)
Epoch: [73][3200/5005] Time 0.206 (0.210) Data 0.058 (0.048) Loss 2.3251 (2.2882) Prec@1 46.875 (47.629) Prec@5 73.828 (72.945)
Epoch: [73][3210/5005] Time 0.208 (0.210) Data 0.051 (0.048) Loss 2.3882 (2.2883) Prec@1 44.141 (47.627) Prec@5 71.484 (72.946)
Epoch: [73][3220/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.3589 (2.2883) Prec@1 44.922 (47.626) Prec@5 72.656 (72.946)
Epoch: [73][3230/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.2588 (2.2881) Prec@1 50.000 (47.633) Prec@5 73.438 (72.948)
Epoch: [73][3240/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.5181 (2.2884) Prec@1 44.141 (47.624) Prec@5 69.141 (72.943)
Epoch: [73][3250/5005] Time 0.213 (0.210) Data 0.045 (0.048) Loss 2.2416 (2.2886) Prec@1 46.484 (47.621) Prec@5 75.391 (72.943)
Epoch: [73][3260/5005] Time 0.211 (0.210) Data 0.045 (0.048) Loss 2.2203 (2.2886) Prec@1 45.312 (47.618) Prec@5 74.609 (72.947)
Epoch: [73][3270/5005] Time 0.210 (0.210) Data 0.042 (0.048) Loss 2.4679 (2.2885) Prec@1 44.531 (47.617) Prec@5 70.312 (72.950)
Epoch: [73][3280/5005] Time 0.205 (0.210) Data 0.062 (0.048) Loss 2.1879 (2.2887) Prec@1 50.391 (47.615) Prec@5 72.656 (72.946)
Epoch: [73][3290/5005] Time 0.203 (0.210) Data 0.043 (0.048) Loss 2.2218 (2.2886) Prec@1 45.312 (47.616) Prec@5 72.266 (72.945)
Epoch: [73][3300/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.2968 (2.2886) Prec@1 43.359 (47.616) Prec@5 70.703 (72.939)
Epoch: [73][3310/5005] Time 0.208 (0.210) Data 0.047 (0.048) Loss 2.1481 (2.2887) Prec@1 52.344 (47.618) Prec@5 74.609 (72.939)
Epoch: [73][3320/5005] Time 0.210 (0.210) Data 0.046 (0.048) Loss 2.2875 (2.2887) Prec@1 46.484 (47.615) Prec@5 71.094 (72.936)
Epoch: [73][3330/5005] Time 0.204 (0.210) Data 0.051 (0.048) Loss 2.3779 (2.2889) Prec@1 45.312 (47.611) Prec@5 71.484 (72.934)
Epoch: [73][3340/5005] Time 0.206 (0.210) Data 0.042 (0.048) Loss 2.2998 (2.2889) Prec@1 50.781 (47.613) Prec@5 73.438 (72.936)
Epoch: [73][3350/5005] Time 0.209 (0.210) Data 0.042 (0.048) Loss 2.4091 (2.2889) Prec@1 45.312 (47.612) Prec@5 71.094 (72.937)
Epoch: [73][3360/5005] Time 0.203 (0.210) Data 0.042 (0.048) Loss 2.1391 (2.2890) Prec@1 50.391 (47.613) Prec@5 75.391 (72.935)
Epoch: [73][3370/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.3804 (2.2890) Prec@1 44.922 (47.612) Prec@5 72.266 (72.935)
Epoch: [73][3380/5005] Time 0.204 (0.210) Data 0.044 (0.048) Loss 2.4080 (2.2890) Prec@1 45.703 (47.612) Prec@5 72.266 (72.934)
Epoch: [73][3390/5005] Time 0.209 (0.210) Data 0.042 (0.048) Loss 2.1246 (2.2892) Prec@1 52.344 (47.608) Prec@5 73.828 (72.928)
Epoch: [73][3400/5005] Time 0.213 (0.210) Data 0.044 (0.048) Loss 2.2111 (2.2894) Prec@1 47.266 (47.604) Prec@5 75.000 (72.924)
Epoch: [73][3410/5005] Time 0.214 (0.210) Data 0.043 (0.048) Loss 2.2330 (2.2892) Prec@1 48.828 (47.608) Prec@5 72.656 (72.926)
Epoch: [73][3420/5005] Time 0.215 (0.210) Data 0.044 (0.048) Loss 2.1477 (2.2892) Prec@1 50.000 (47.608) Prec@5 75.391 (72.927)
Epoch: [73][3430/5005] Time 0.200 (0.210) Data 0.046 (0.048) Loss 2.2138 (2.2890) Prec@1 45.703 (47.609) Prec@5 72.266 (72.931)
Epoch: [73][3440/5005] Time 0.211 (0.210) Data 0.042 (0.048) Loss 2.3346 (2.2888) Prec@1 45.312 (47.611) Prec@5 71.094 (72.932)
Epoch: [73][3450/5005] Time 0.210 (0.210) Data 0.040 (0.048) Loss 2.1568 (2.2887) Prec@1 50.000 (47.610) Prec@5 73.828 (72.933)
Epoch: [73][3460/5005] Time 0.208 (0.210) Data 0.047 (0.048) Loss 2.2715 (2.2888) Prec@1 50.781 (47.612) Prec@5 70.703 (72.931)
Epoch: [73][3470/5005] Time 0.200 (0.210) Data 0.044 (0.048) Loss 2.1704 (2.2887) Prec@1 51.562 (47.613) Prec@5 75.000 (72.932)
Epoch: [73][3480/5005] Time 0.215 (0.210) Data 0.043 (0.048) Loss 2.2450 (2.2884) Prec@1 48.047 (47.617) Prec@5 75.781 (72.939)
Epoch: [73][3490/5005] Time 0.208 (0.210) Data 0.045 (0.048) Loss 2.3139 (2.2883) Prec@1 45.312 (47.616) Prec@5 74.609 (72.938)
Epoch: [73][3500/5005] Time 0.207 (0.210) Data 0.048 (0.048) Loss 2.1823 (2.2883) Prec@1 45.703 (47.615) Prec@5 76.953 (72.941)
Epoch: [73][3510/5005] Time 0.203 (0.210) Data 0.047 (0.048) Loss 2.0938 (2.2882) Prec@1 48.828 (47.614) Prec@5 75.391 (72.944)
Epoch: [73][3520/5005] Time 0.202 (0.210) Data 0.061 (0.048) Loss 2.4172 (2.2881) Prec@1 45.703 (47.615) Prec@5 71.094 (72.945)
Epoch: [73][3530/5005] Time 0.200 (0.210) Data 0.049 (0.048) Loss 2.1851 (2.2881) Prec@1 45.703 (47.621) Prec@5 75.391 (72.947)
Epoch: [73][3540/5005] Time 0.201 (0.210) Data 0.048 (0.048) Loss 2.1205 (2.2879) Prec@1 49.609 (47.624) Prec@5 77.734 (72.949)
Epoch: [73][3550/5005] Time 0.212 (0.210) Data 0.051 (0.048) Loss 2.3490 (2.2878) Prec@1 44.922 (47.625) Prec@5 71.875 (72.951)
Epoch: [73][3560/5005] Time 0.202 (0.210) Data 0.057 (0.048) Loss 2.3860 (2.2877) Prec@1 44.141 (47.627) Prec@5 71.484 (72.953)
Epoch: [73][3570/5005] Time 0.212 (0.210) Data 0.047 (0.048) Loss 2.2388 (2.2877) Prec@1 53.125 (47.629) Prec@5 75.000 (72.950)
Epoch: [73][3580/5005] Time 0.214 (0.210) Data 0.044 (0.048) Loss 2.2173 (2.2876) Prec@1 50.000 (47.631) Prec@5 71.875 (72.949)
Epoch: [73][3590/5005] Time 0.201 (0.210) Data 0.041 (0.048) Loss 2.2872 (2.2873) Prec@1 44.141 (47.637) Prec@5 74.219 (72.957)
Epoch: [73][3600/5005] Time 0.205 (0.210) Data 0.044 (0.048) Loss 2.4516 (2.2871) Prec@1 46.484 (47.638) Prec@5 68.750 (72.959)
Epoch: [73][3610/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.1821 (2.2870) Prec@1 48.828 (47.640) Prec@5 74.609 (72.960)
Epoch: [73][3620/5005] Time 0.211 (0.210) Data 0.060 (0.048) Loss 2.4281 (2.2868) Prec@1 44.531 (47.645) Prec@5 71.094 (72.965)
Epoch: [73][3630/5005] Time 0.208 (0.210) Data 0.058 (0.048) Loss 2.5391 (2.2868) Prec@1 43.359 (47.644) Prec@5 70.312 (72.965)
Epoch: [73][3640/5005] Time 0.213 (0.210) Data 0.044 (0.048) Loss 2.2779 (2.2869) Prec@1 47.656 (47.643) Prec@5 73.438 (72.964)
Epoch: [73][3650/5005] Time 0.214 (0.210) Data 0.048 (0.048) Loss 2.1493 (2.2869) Prec@1 45.703 (47.639) Prec@5 77.734 (72.964)
Epoch: [73][3660/5005] Time 0.211 (0.210) Data 0.042 (0.048) Loss 2.4849 (2.2868) Prec@1 46.094 (47.637) Prec@5 70.703 (72.969)
Epoch: [73][3670/5005] Time 0.211 (0.210) Data 0.048 (0.048) Loss 2.3459 (2.2869) Prec@1 51.172 (47.636) Prec@5 70.312 (72.968)
Epoch: [73][3680/5005] Time 0.209 (0.210) Data 0.046 (0.048) Loss 2.2927 (2.2871) Prec@1 45.312 (47.632) Prec@5 73.438 (72.964)
Epoch: [73][3690/5005] Time 0.209 (0.210) Data 0.044 (0.048) Loss 2.1483 (2.2871) Prec@1 50.000 (47.630) Prec@5 76.953 (72.967)
Epoch: [73][3700/5005] Time 0.206 (0.210) Data 0.041 (0.048) Loss 2.3423 (2.2872) Prec@1 46.094 (47.628) Prec@5 72.266 (72.966)
Epoch: [73][3710/5005] Time 0.193 (0.210) Data 0.062 (0.048) Loss 2.1948 (2.2872) Prec@1 48.828 (47.627) Prec@5 71.875 (72.966)
Epoch: [73][3720/5005] Time 0.207 (0.210) Data 0.048 (0.048) Loss 2.3117 (2.2871) Prec@1 46.875 (47.627) Prec@5 73.438 (72.966)
Epoch: [73][3730/5005] Time 0.202 (0.210) Data 0.049 (0.048) Loss 2.1546 (2.2869) Prec@1 53.125 (47.632) Prec@5 75.000 (72.969)
Epoch: [73][3740/5005] Time 0.204 (0.210) Data 0.042 (0.048) Loss 2.1704 (2.2867) Prec@1 50.391 (47.637) Prec@5 74.609 (72.974)
Epoch: [73][3750/5005] Time 0.217 (0.210) Data 0.044 (0.048) Loss 2.2234 (2.2868) Prec@1 43.750 (47.632) Prec@5 75.781 (72.971)
Epoch: [73][3760/5005] Time 0.210 (0.210) Data 0.051 (0.048) Loss 2.3197 (2.2870) Prec@1 46.484 (47.628) Prec@5 72.266 (72.968)
Epoch: [73][3770/5005] Time 0.207 (0.210) Data 0.046 (0.048) Loss 2.2971 (2.2868) Prec@1 47.266 (47.632) Prec@5 72.656 (72.971)
Epoch: [73][3780/5005] Time 0.214 (0.210) Data 0.046 (0.048) Loss 2.2802 (2.2867) Prec@1 47.656 (47.635) Prec@5 71.484 (72.971)
Epoch: [73][3790/5005] Time 0.205 (0.210) Data 0.050 (0.048) Loss 2.4023 (2.2867) Prec@1 44.922 (47.633) Prec@5 73.047 (72.971)
Epoch: [73][3800/5005] Time 0.208 (0.210) Data 0.054 (0.048) Loss 2.2596 (2.2870) Prec@1 46.094 (47.629) Prec@5 71.094 (72.964)
Epoch: [73][3810/5005] Time 0.202 (0.210) Data 0.044 (0.048) Loss 2.3317 (2.2871) Prec@1 44.922 (47.630) Prec@5 73.047 (72.962)
Epoch: [73][3820/5005] Time 0.203 (0.210) Data 0.065 (0.048) Loss 2.1779 (2.2869) Prec@1 49.219 (47.633) Prec@5 76.953 (72.963)
Epoch: [73][3830/5005] Time 0.208 (0.210) Data 0.055 (0.048) Loss 2.3561 (2.2867) Prec@1 45.312 (47.635) Prec@5 72.266 (72.966)
Epoch: [73][3840/5005] Time 0.206 (0.210) Data 0.062 (0.048) Loss 2.5233 (2.2868) Prec@1 40.625 (47.634) Prec@5 68.359 (72.964)
Epoch: [73][3850/5005] Time 0.198 (0.210) Data 0.063 (0.048) Loss 2.1858 (2.2866) Prec@1 49.219 (47.635) Prec@5 73.438 (72.967)
Epoch: [73][3860/5005] Time 0.203 (0.210) Data 0.043 (0.048) Loss 2.1008 (2.2866) Prec@1 51.953 (47.635) Prec@5 74.609 (72.967)
Epoch: [73][3870/5005] Time 0.203 (0.210) Data 0.044 (0.048) Loss 2.3372 (2.2866) Prec@1 47.266 (47.632) Prec@5 71.094 (72.964)
Epoch: [73][3880/5005] Time 0.210 (0.210) Data 0.057 (0.048) Loss 2.1909 (2.2867) Prec@1 51.953 (47.633) Prec@5 76.172 (72.962)
Epoch: [73][3890/5005] Time 0.215 (0.210) Data 0.042 (0.048) Loss 2.4049 (2.2867) Prec@1 47.266 (47.634) Prec@5 69.531 (72.961)
Epoch: [73][3900/5005] Time 0.221 (0.210) Data 0.043 (0.048) Loss 2.3890 (2.2868) Prec@1 48.438 (47.634) Prec@5 71.875 (72.960)
Epoch: [73][3910/5005] Time 0.211 (0.210) Data 0.042 (0.048) Loss 2.2379 (2.2867) Prec@1 45.703 (47.634) Prec@5 74.609 (72.959)
Epoch: [73][3920/5005] Time 0.215 (0.210) Data 0.045 (0.048) Loss 2.1969 (2.2867) Prec@1 48.438 (47.633) Prec@5 75.391 (72.959)
Epoch: [73][3930/5005] Time 0.211 (0.210) Data 0.041 (0.048) Loss 2.2605 (2.2866) Prec@1 48.828 (47.633) Prec@5 72.266 (72.960)
Epoch: [73][3940/5005] Time 0.211 (0.210) Data 0.042 (0.048) Loss 2.2568 (2.2865) Prec@1 48.438 (47.633) Prec@5 72.266 (72.962)
Epoch: [73][3950/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.2645 (2.2862) Prec@1 48.047 (47.638) Prec@5 74.219 (72.968)
Epoch: [73][3960/5005] Time 0.202 (0.210) Data 0.039 (0.048) Loss 2.3617 (2.2863) Prec@1 44.141 (47.635) Prec@5 70.312 (72.968)
Epoch: [73][3970/5005] Time 0.220 (0.210) Data 0.043 (0.048) Loss 2.2055 (2.2862) Prec@1 50.391 (47.636) Prec@5 75.391 (72.971)
Epoch: [73][3980/5005] Time 0.202 (0.210) Data 0.048 (0.048) Loss 2.0481 (2.2861) Prec@1 52.344 (47.640) Prec@5 77.734 (72.972)
Epoch: [73][3990/5005] Time 0.194 (0.210) Data 0.046 (0.048) Loss 2.3306 (2.2861) Prec@1 47.266 (47.639) Prec@5 71.875 (72.970)
Epoch: [73][4000/5005] Time 0.201 (0.210) Data 0.043 (0.048) Loss 2.1619 (2.2861) Prec@1 48.828 (47.638) Prec@5 77.344 (72.974)
Epoch: [73][4010/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.3336 (2.2859) Prec@1 43.750 (47.642) Prec@5 71.484 (72.977)
Epoch: [73][4020/5005] Time 0.201 (0.210) Data 0.040 (0.048) Loss 2.4347 (2.2859) Prec@1 44.141 (47.639) Prec@5 70.312 (72.976)
Epoch: [73][4030/5005] Time 0.210 (0.210) Data 0.045 (0.048) Loss 2.3806 (2.2860) Prec@1 46.875 (47.639) Prec@5 72.266 (72.974)
Epoch: [73][4040/5005] Time 0.217 (0.210) Data 0.042 (0.048) Loss 2.2664 (2.2861) Prec@1 50.000 (47.638) Prec@5 70.703 (72.973)
Epoch: [73][4050/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.5198 (2.2860) Prec@1 41.797 (47.642) Prec@5 69.141 (72.976)
Epoch: [73][4060/5005] Time 0.206 (0.210) Data 0.049 (0.048) Loss 2.2017 (2.2860) Prec@1 47.266 (47.641) Prec@5 73.047 (72.977)
Epoch: [73][4070/5005] Time 0.210 (0.210) Data 0.041 (0.048) Loss 2.3386 (2.2860) Prec@1 46.875 (47.637) Prec@5 70.703 (72.979)
Epoch: [73][4080/5005] Time 0.214 (0.210) Data 0.043 (0.048) Loss 2.2679 (2.2860) Prec@1 46.094 (47.639) Prec@5 71.875 (72.979)
Epoch: [73][4090/5005] Time 0.205 (0.210) Data 0.042 (0.048) Loss 2.4876 (2.2860) Prec@1 44.141 (47.638) Prec@5 68.750 (72.978)
Epoch: [73][4100/5005] Time 0.209 (0.210) Data 0.042 (0.048) Loss 2.2386 (2.2859) Prec@1 50.391 (47.639) Prec@5 73.438 (72.980)
Epoch: [73][4110/5005] Time 0.206 (0.210) Data 0.049 (0.048) Loss 2.4133 (2.2858) Prec@1 42.969 (47.638) Prec@5 72.656 (72.983)
Epoch: [73][4120/5005] Time 0.214 (0.210) Data 0.042 (0.048) Loss 2.2993 (2.2856) Prec@1 45.703 (47.641) Prec@5 75.391 (72.985)
Epoch: [73][4130/5005] Time 0.197 (0.210) Data 0.042 (0.048) Loss 2.5540 (2.2857) Prec@1 42.969 (47.641) Prec@5 68.750 (72.985)
Epoch: [73][4140/5005] Time 0.200 (0.210) Data 0.043 (0.048) Loss 2.4197 (2.2856) Prec@1 46.094 (47.643) Prec@5 70.312 (72.985)
Epoch: [73][4150/5005] Time 0.206 (0.210) Data 0.044 (0.048) Loss 2.4073 (2.2856) Prec@1 45.312 (47.641) Prec@5 68.750 (72.986)
Epoch: [73][4160/5005] Time 0.212 (0.210) Data 0.042 (0.048) Loss 2.2317 (2.2857) Prec@1 50.391 (47.639) Prec@5 73.438 (72.987)
Epoch: [73][4170/5005] Time 0.213 (0.210) Data 0.045 (0.048) Loss 2.0587 (2.2856) Prec@1 51.172 (47.641) Prec@5 75.781 (72.988)
Epoch: [73][4180/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.2369 (2.2856) Prec@1 51.953 (47.644) Prec@5 74.219 (72.990)
Epoch: [73][4190/5005] Time 0.215 (0.210) Data 0.044 (0.048) Loss 2.1727 (2.2857) Prec@1 48.438 (47.644) Prec@5 75.000 (72.988)
Epoch: [73][4200/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.1797 (2.2857) Prec@1 48.047 (47.641) Prec@5 73.438 (72.988)
Epoch: [73][4210/5005] Time 0.199 (0.210) Data 0.040 (0.048) Loss 2.1735 (2.2858) Prec@1 47.266 (47.636) Prec@5 77.734 (72.990)
Epoch: [73][4220/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.5088 (2.2859) Prec@1 43.750 (47.633) Prec@5 73.047 (72.988)
Epoch: [73][4230/5005] Time 0.210 (0.210) Data 0.046 (0.048) Loss 2.3064 (2.2860) Prec@1 48.438 (47.631) Prec@5 71.094 (72.988)
Epoch: [73][4240/5005] Time 0.199 (0.210) Data 0.046 (0.048) Loss 2.2158 (2.2860) Prec@1 47.656 (47.630) Prec@5 76.172 (72.989)
Epoch: [73][4250/5005] Time 0.196 (0.210) Data 0.056 (0.048) Loss 2.1919 (2.2858) Prec@1 51.172 (47.631) Prec@5 75.391 (72.990)
Epoch: [73][4260/5005] Time 0.209 (0.210) Data 0.053 (0.048) Loss 2.1076 (2.2857) Prec@1 50.391 (47.635) Prec@5 73.828 (72.993)
Epoch: [73][4270/5005] Time 0.195 (0.210) Data 0.055 (0.048) Loss 2.4432 (2.2857) Prec@1 44.922 (47.635) Prec@5 69.141 (72.990)
Epoch: [73][4280/5005] Time 0.216 (0.210) Data 0.050 (0.048) Loss 2.3855 (2.2857) Prec@1 48.047 (47.636) Prec@5 74.609 (72.991)
Epoch: [73][4290/5005] Time 0.206 (0.210) Data 0.043 (0.048) Loss 2.3929 (2.2858) Prec@1 47.266 (47.636) Prec@5 69.531 (72.990)
Epoch: [73][4300/5005] Time 0.210 (0.210) Data 0.042 (0.048) Loss 2.1855 (2.2856) Prec@1 49.609 (47.639) Prec@5 74.609 (72.993)
Epoch: [73][4310/5005] Time 0.202 (0.210) Data 0.049 (0.048) Loss 2.2348 (2.2856) Prec@1 45.703 (47.639) Prec@5 73.438 (72.991)
Epoch: [73][4320/5005] Time 0.215 (0.210) Data 0.056 (0.048) Loss 2.2602 (2.2856) Prec@1 51.953 (47.640) Prec@5 74.609 (72.991)
Epoch: [73][4330/5005] Time 0.215 (0.210) Data 0.043 (0.048) Loss 2.2266 (2.2855) Prec@1 48.047 (47.642) Prec@5 72.266 (72.992)
Epoch: [73][4340/5005] Time 0.214 (0.210) Data 0.047 (0.048) Loss 2.2166 (2.2855) Prec@1 50.000 (47.642) Prec@5 73.047 (72.991)
Epoch: [73][4350/5005] Time 0.218 (0.210) Data 0.046 (0.048) Loss 2.2924 (2.2855) Prec@1 50.000 (47.643) Prec@5 74.609 (72.994)
Epoch: [73][4360/5005] Time 0.215 (0.210) Data 0.054 (0.048) Loss 2.0855 (2.2853) Prec@1 49.219 (47.646) Prec@5 75.000 (72.996)
Epoch: [73][4370/5005] Time 0.218 (0.210) Data 0.043 (0.048) Loss 2.2832 (2.2854) Prec@1 44.922 (47.645) Prec@5 75.000 (72.998)
Epoch: [73][4380/5005] Time 0.198 (0.210) Data 0.059 (0.048) Loss 2.2879 (2.2854) Prec@1 41.797 (47.643) Prec@5 70.312 (72.996)
Epoch: [73][4390/5005] Time 0.199 (0.210) Data 0.045 (0.048) Loss 2.3912 (2.2854) Prec@1 46.875 (47.644) Prec@5 68.750 (72.998)
Epoch: [73][4400/5005] Time 0.208 (0.210) Data 0.044 (0.048) Loss 2.2606 (2.2854) Prec@1 50.781 (47.643) Prec@5 73.047 (72.997)
Epoch: [73][4410/5005] Time 0.197 (0.210) Data 0.049 (0.048) Loss 2.3125 (2.2854) Prec@1 45.703 (47.643) Prec@5 71.875 (72.996)
Epoch: [73][4420/5005] Time 0.207 (0.210) Data 0.040 (0.048) Loss 2.0047 (2.2853) Prec@1 54.688 (47.644) Prec@5 75.391 (72.996)
Epoch: [73][4430/5005] Time 0.215 (0.210) Data 0.046 (0.048) Loss 2.3470 (2.2851) Prec@1 44.922 (47.650) Prec@5 67.969 (73.000)
Epoch: [73][4440/5005] Time 0.213 (0.210) Data 0.048 (0.048) Loss 2.5261 (2.2852) Prec@1 44.531 (47.651) Prec@5 67.188 (72.999)
Epoch: [73][4450/5005] Time 0.215 (0.210) Data 0.049 (0.048) Loss 2.1813 (2.2851) Prec@1 50.781 (47.652) Prec@5 76.953 (72.999)
Epoch: [73][4460/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.3318 (2.2850) Prec@1 46.875 (47.652) Prec@5 71.875 (73.002)
Epoch: [73][4470/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.1314 (2.2851) Prec@1 47.656 (47.649) Prec@5 78.125 (72.999)
Epoch: [73][4480/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.1744 (2.2853) Prec@1 50.000 (47.647) Prec@5 75.000 (72.996)
Epoch: [73][4490/5005] Time 0.211 (0.210) Data 0.042 (0.048) Loss 2.2879 (2.2854) Prec@1 49.609 (47.647) Prec@5 73.438 (72.995)
Epoch: [73][4500/5005] Time 0.216 (0.210) Data 0.042 (0.048) Loss 2.2966 (2.2854) Prec@1 47.266 (47.648) Prec@5 75.000 (72.996)
Epoch: [73][4510/5005] Time 0.202 (0.210) Data 0.050 (0.048) Loss 2.0643 (2.2853) Prec@1 52.734 (47.647) Prec@5 75.781 (72.997)
Epoch: [73][4520/5005] Time 0.202 (0.210) Data 0.040 (0.048) Loss 2.2807 (2.2853) Prec@1 49.609 (47.649) Prec@5 75.000 (72.998)
Epoch: [73][4530/5005] Time 0.207 (0.210) Data 0.058 (0.048) Loss 2.1542 (2.2852) Prec@1 50.000 (47.651) Prec@5 78.125 (73.000)
Epoch: [73][4540/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.4226 (2.2853) Prec@1 43.359 (47.649) Prec@5 72.266 (72.998)
Epoch: [73][4550/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.2531 (2.2852) Prec@1 48.438 (47.650) Prec@5 71.875 (72.998)
Epoch: [73][4560/5005] Time 0.205 (0.210) Data 0.041 (0.048) Loss 2.2810 (2.2852) Prec@1 51.562 (47.652) Prec@5 73.438 (72.998)
Epoch: [73][4570/5005] Time 0.196 (0.210) Data 0.045 (0.048) Loss 2.3263 (2.2851) Prec@1 48.438 (47.653) Prec@5 69.141 (72.999)
Epoch: [73][4580/5005] Time 0.213 (0.210) Data 0.060 (0.048) Loss 2.2887 (2.2850) Prec@1 43.750 (47.653) Prec@5 70.703 (72.998)
Epoch: [73][4590/5005] Time 0.207 (0.210) Data 0.053 (0.048) Loss 2.1212 (2.2851) Prec@1 48.828 (47.650) Prec@5 76.953 (72.996)
Epoch: [73][4600/5005] Time 0.208 (0.210) Data 0.062 (0.048) Loss 1.9918 (2.2852) Prec@1 54.688 (47.650) Prec@5 78.125 (72.995)
Epoch: [73][4610/5005] Time 0.215 (0.210) Data 0.042 (0.048) Loss 2.1479 (2.2852) Prec@1 48.047 (47.649) Prec@5 71.875 (72.995)
Epoch: [73][4620/5005] Time 0.204 (0.210) Data 0.046 (0.048) Loss 2.1783 (2.2852) Prec@1 51.172 (47.651) Prec@5 72.656 (72.995)
Epoch: [73][4630/5005] Time 0.208 (0.210) Data 0.041 (0.048) Loss 2.0501 (2.2850) Prec@1 51.953 (47.653) Prec@5 78.125 (72.998)
Epoch: [73][4640/5005] Time 0.209 (0.210) Data 0.047 (0.048) Loss 2.2360 (2.2850) Prec@1 50.000 (47.656) Prec@5 73.828 (73.000)
Epoch: [73][4650/5005] Time 0.215 (0.210) Data 0.045 (0.048) Loss 2.3479 (2.2850) Prec@1 42.969 (47.656) Prec@5 69.922 (72.998)
Epoch: [73][4660/5005] Time 0.215 (0.210) Data 0.040 (0.048) Loss 2.5853 (2.2851) Prec@1 43.750 (47.655) Prec@5 65.234 (72.998)
Epoch: [73][4670/5005] Time 0.206 (0.210) Data 0.042 (0.048) Loss 2.1912 (2.2850) Prec@1 48.828 (47.658) Prec@5 74.219 (72.997)
Epoch: [73][4680/5005] Time 0.211 (0.210) Data 0.041 (0.048) Loss 2.1715 (2.2849) Prec@1 46.094 (47.659) Prec@5 77.344 (72.998)
Epoch: [73][4690/5005] Time 0.206 (0.210) Data 0.053 (0.048) Loss 2.3052 (2.2850) Prec@1 45.312 (47.656) Prec@5 74.609 (73.000)
Epoch: [73][4700/5005] Time 0.201 (0.210) Data 0.043 (0.048) Loss 2.1876 (2.2850) Prec@1 47.656 (47.655) Prec@5 73.438 (72.998)
Epoch: [73][4710/5005] Time 0.200 (0.210) Data 0.049 (0.048) Loss 2.0534 (2.2848) Prec@1 53.516 (47.660) Prec@5 76.562 (73.002)
Epoch: [73][4720/5005] Time 0.209 (0.210) Data 0.047 (0.048) Loss 2.2032 (2.2848) Prec@1 51.562 (47.661) Prec@5 73.438 (73.004)
Epoch: [73][4730/5005] Time 0.215 (0.210) Data 0.049 (0.048) Loss 2.1869 (2.2848) Prec@1 50.000 (47.660) Prec@5 73.438 (73.002)
Epoch: [73][4740/5005] Time 0.206 (0.210) Data 0.044 (0.048) Loss 2.1678 (2.2847) Prec@1 47.266 (47.660) Prec@5 75.391 (73.003)
Epoch: [73][4750/5005] Time 0.208 (0.210) Data 0.043 (0.048) Loss 2.3328 (2.2846) Prec@1 46.875 (47.660) Prec@5 72.656 (73.005)
Epoch: [73][4760/5005] Time 0.207 (0.210) Data 0.047 (0.048) Loss 2.4938 (2.2845) Prec@1 42.578 (47.664) Prec@5 72.266 (73.007)
Epoch: [73][4770/5005] Time 0.203 (0.210) Data 0.044 (0.048) Loss 2.2371 (2.2845) Prec@1 51.562 (47.664) Prec@5 73.438 (73.008)
Epoch: [73][4780/5005] Time 0.193 (0.210) Data 0.049 (0.048) Loss 2.3177 (2.2845) Prec@1 49.219 (47.666) Prec@5 74.609 (73.010)
Epoch: [73][4790/5005] Time 0.216 (0.210) Data 0.045 (0.048) Loss 2.5657 (2.2845) Prec@1 43.750 (47.667) Prec@5 68.359 (73.009)
Epoch: [73][4800/5005] Time 0.205 (0.210) Data 0.053 (0.048) Loss 2.4382 (2.2845) Prec@1 44.922 (47.666) Prec@5 71.094 (73.011)
Epoch: [73][4810/5005] Time 0.201 (0.210) Data 0.049 (0.048) Loss 2.5314 (2.2844) Prec@1 44.141 (47.668) Prec@5 70.312 (73.011)
Epoch: [73][4820/5005] Time 0.203 (0.210) Data 0.051 (0.048) Loss 2.4729 (2.2844) Prec@1 45.312 (47.669) Prec@5 67.969 (73.012)
Epoch: [73][4830/5005] Time 0.207 (0.209) Data 0.051 (0.048) Loss 2.3048 (2.2843) Prec@1 49.219 (47.672) Prec@5 72.266 (73.013)
Epoch: [73][4840/5005] Time 0.213 (0.209) Data 0.040 (0.048) Loss 2.1406 (2.2843) Prec@1 51.562 (47.673) Prec@5 76.953 (73.012)
Epoch: [73][4850/5005] Time 0.202 (0.209) Data 0.043 (0.048) Loss 2.3308 (2.2845) Prec@1 48.047 (47.672) Prec@5 69.922 (73.010)
Epoch: [73][4860/5005] Time 0.204 (0.209) Data 0.045 (0.048) Loss 2.3305 (2.2844) Prec@1 46.875 (47.673) Prec@5 73.047 (73.011)
Epoch: [73][4870/5005] Time 0.208 (0.209) Data 0.041 (0.048) Loss 2.2443 (2.2844) Prec@1 50.391 (47.675) Prec@5 71.094 (73.010)
Epoch: [73][4880/5005] Time 0.213 (0.209) Data 0.043 (0.048) Loss 2.0891 (2.2843) Prec@1 51.172 (47.678) Prec@5 74.609 (73.011)
Epoch: [73][4890/5005] Time 0.216 (0.209) Data 0.041 (0.048) Loss 2.2853 (2.2843) Prec@1 44.141 (47.676) Prec@5 74.219 (73.011)
Epoch: [73][4900/5005] Time 0.204 (0.209) Data 0.041 (0.048) Loss 2.1038 (2.2843) Prec@1 50.781 (47.678) Prec@5 76.562 (73.012)
Epoch: [73][4910/5005] Time 0.204 (0.209) Data 0.054 (0.048) Loss 2.2664 (2.2841) Prec@1 50.391 (47.680) Prec@5 71.875 (73.016)
Epoch: [73][4920/5005] Time 0.207 (0.209) Data 0.042 (0.048) Loss 2.1832 (2.2840) Prec@1 48.438 (47.682) Prec@5 76.172 (73.017)
Epoch: [73][4930/5005] Time 0.193 (0.209) Data 0.048 (0.048) Loss 2.2846 (2.2839) Prec@1 47.266 (47.683) Prec@5 71.094 (73.019)
Epoch: [73][4940/5005] Time 0.199 (0.209) Data 0.049 (0.048) Loss 2.3452 (2.2839) Prec@1 45.312 (47.683) Prec@5 69.531 (73.018)
Epoch: [73][4950/5005] Time 0.215 (0.209) Data 0.041 (0.048) Loss 2.0084 (2.2838) Prec@1 51.562 (47.683) Prec@5 74.609 (73.018)
Epoch: [73][4960/5005] Time 0.200 (0.209) Data 0.045 (0.048) Loss 2.4714 (2.2839) Prec@1 46.094 (47.684) Prec@5 73.828 (73.019)
Epoch: [73][4970/5005] Time 0.210 (0.209) Data 0.044 (0.048) Loss 2.3728 (2.2838) Prec@1 41.016 (47.682) Prec@5 70.703 (73.021)
Epoch: [73][4980/5005] Time 0.214 (0.209) Data 0.047 (0.048) Loss 2.2849 (2.2838) Prec@1 46.875 (47.682) Prec@5 71.875 (73.023)
Epoch: [73][4990/5005] Time 0.203 (0.209) Data 0.023 (0.048) Loss 2.3383 (2.2837) Prec@1 42.969 (47.683) Prec@5 71.875 (73.024)
Epoch: [73][5000/5005] Time 0.207 (0.209) Data 0.021 (0.048) Loss 2.3909 (2.2838) Prec@1 44.922 (47.683) Prec@5 71.484 (73.024)
Test: [0/196] Time 1.885 (1.885) Loss 2.4884 (2.4884) Prec@1 47.656 (47.656) Prec@5 67.969 (67.969)
Test: [10/196] Time 0.042 (0.297) Loss 2.5130 (2.6028) Prec@1 47.656 (43.359) Prec@5 68.750 (68.714)
Test: [20/196] Time 0.042 (0.218) Loss 2.4874 (2.5992) Prec@1 46.094 (43.118) Prec@5 73.047 (69.085)
Test: [30/196] Time 0.693 (0.217) Loss 2.5319 (2.6062) Prec@1 42.188 (43.183) Prec@5 69.922 (68.952)
Test: [40/196] Time 0.406 (0.208) Loss 2.3609 (2.6038) Prec@1 50.000 (43.331) Prec@5 72.656 (69.055)
Test: [50/196] Time 0.042 (0.190) Loss 2.6877 (2.6056) Prec@1 44.141 (43.298) Prec@5 70.312 (69.179)
Test: [60/196] Time 0.042 (0.191) Loss 2.4375 (2.5896) Prec@1 49.609 (43.718) Prec@5 71.875 (69.179)
Test: [70/196] Time 0.234 (0.190) Loss 2.4512 (2.5821) Prec@1 47.266 (43.811) Prec@5 72.266 (69.256)
Test: [80/196] Time 0.044 (0.189) Loss 2.4045 (2.5868) Prec@1 52.734 (43.909) Prec@5 75.391 (69.170)
Test: [90/196] Time 0.216 (0.184) Loss 2.7051 (2.5912) Prec@1 44.922 (43.840) Prec@5 66.406 (69.111)
Test: [100/196] Time 0.042 (0.183) Loss 2.6052 (2.5891) Prec@1 44.531 (43.959) Prec@5 67.188 (69.083)
Test: [110/196] Time 0.194 (0.179) Loss 2.7604 (2.5906) Prec@1 38.281 (44.000) Prec@5 66.797 (69.042)
Test: [120/196] Time 0.413 (0.182) Loss 2.4743 (2.5880) Prec@1 41.797 (44.131) Prec@5 71.875 (69.076)
Test: [130/196] Time 0.496 (0.182) Loss 2.3078 (2.5845) Prec@1 48.438 (44.200) Prec@5 73.438 (69.153)
Test: [140/196] Time 0.052 (0.183) Loss 2.4315 (2.5866) Prec@1 47.656 (44.182) Prec@5 70.312 (69.094)
Test: [150/196] Time 0.042 (0.179) Loss 2.2465 (2.5859) Prec@1 49.219 (44.177) Prec@5 76.172 (69.143)
Test: [160/196] Time 0.078 (0.180) Loss 2.5340 (2.5836) Prec@1 49.219 (44.226) Prec@5 67.969 (69.162)
Test: [170/196] Time 0.051 (0.177) Loss 2.4967 (2.5861) Prec@1 46.094 (44.205) Prec@5 73.438 (69.111)
Test: [180/196] Time 0.895 (0.181) Loss 2.8270 (2.5914) Prec@1 39.062 (44.097) Prec@5 66.016 (69.050)
Test: [190/196] Time 0.196 (0.180) Loss 2.7781 (2.5946) Prec@1 40.625 (44.075) Prec@5 67.188 (68.959)
* Prec@1 44.066 Prec@5 68.988
Learning rate: 1e-05
Epoch: [74][0/5005] Time 1.116 (1.116) Data 1.018 (1.018) Loss 2.2872 (2.2872) Prec@1 48.438 (48.438) Prec@5 75.000 (75.000)
Epoch: [74][10/5005] Time 0.199 (0.285) Data 0.047 (0.139) Loss 2.2695 (2.3199) Prec@1 47.266 (46.946) Prec@5 73.828 (72.976)
Epoch: [74][20/5005] Time 0.199 (0.252) Data 0.049 (0.097) Loss 2.3393 (2.3059) Prec@1 46.094 (46.726) Prec@5 73.828 (72.805)
Epoch: [74][30/5005] Time 0.207 (0.236) Data 0.042 (0.081) Loss 2.2487 (2.2711) Prec@1 50.781 (47.568) Prec@5 71.875 (73.311)
Epoch: [74][40/5005] Time 0.203 (0.227) Data 0.046 (0.073) Loss 2.2525 (2.2843) Prec@1 47.656 (47.599) Prec@5 74.609 (73.114)
Epoch: [74][50/5005] Time 0.203 (0.223) Data 0.049 (0.069) Loss 2.3169 (2.2892) Prec@1 46.484 (47.488) Prec@5 73.828 (72.955)
Epoch: [74][60/5005] Time 0.203 (0.219) Data 0.048 (0.066) Loss 2.2878 (2.2897) Prec@1 44.922 (47.560) Prec@5 73.438 (73.015)
Epoch: [74][70/5005] Time 0.202 (0.217) Data 0.047 (0.064) Loss 2.2494 (2.2961) Prec@1 50.781 (47.535) Prec@5 73.047 (72.904)
Epoch: [74][80/5005] Time 0.202 (0.215) Data 0.046 (0.063) Loss 2.1810 (2.2911) Prec@1 50.391 (47.613) Prec@5 75.000 (72.960)
Epoch: [74][90/5005] Time 0.204 (0.214) Data 0.051 (0.061) Loss 2.3770 (2.2905) Prec@1 47.656 (47.755) Prec@5 70.703 (72.819)
Epoch: [74][100/5005] Time 0.200 (0.212) Data 0.043 (0.059) Loss 2.0709 (2.2920) Prec@1 47.656 (47.629) Prec@5 76.562 (72.753)
Epoch: [74][110/5005] Time 0.203 (0.211) Data 0.050 (0.058) Loss 2.3792 (2.2947) Prec@1 46.484 (47.646) Prec@5 69.922 (72.741)
Epoch: [74][120/5005] Time 0.201 (0.211) Data 0.039 (0.057) Loss 2.3123 (2.2970) Prec@1 45.703 (47.740) Prec@5 71.094 (72.679)
Epoch: [74][130/5005] Time 0.199 (0.210) Data 0.040 (0.056) Loss 2.3994 (2.2961) Prec@1 47.656 (47.773) Prec@5 71.094 (72.662)
Epoch: [74][140/5005] Time 0.208 (0.210) Data 0.047 (0.056) Loss 2.3254 (2.2927) Prec@1 45.703 (47.767) Prec@5 74.609 (72.773)
Epoch: [74][150/5005] Time 0.207 (0.209) Data 0.056 (0.055) Loss 2.4634 (2.2933) Prec@1 42.578 (47.729) Prec@5 70.312 (72.804)
Epoch: [74][160/5005] Time 0.206 (0.209) Data 0.042 (0.055) Loss 2.2380 (2.2957) Prec@1 48.828 (47.668) Prec@5 74.609 (72.785)
Epoch: [74][170/5005] Time 0.206 (0.209) Data 0.047 (0.055) Loss 2.2861 (2.2965) Prec@1 47.266 (47.654) Prec@5 75.000 (72.761)
Epoch: [74][180/5005] Time 0.219 (0.210) Data 0.043 (0.054) Loss 2.4822 (2.2965) Prec@1 42.969 (47.667) Prec@5 67.188 (72.723)
Epoch: [74][190/5005] Time 0.219 (0.210) Data 0.041 (0.053) Loss 2.4237 (2.3007) Prec@1 44.922 (47.585) Prec@5 69.922 (72.699)
Epoch: [74][200/5005] Time 0.218 (0.211) Data 0.053 (0.053) Loss 2.5091 (2.3016) Prec@1 44.531 (47.553) Prec@5 72.266 (72.732)
Epoch: [74][210/5005] Time 0.216 (0.211) Data 0.046 (0.053) Loss 2.1719 (2.3001) Prec@1 49.219 (47.591) Prec@5 75.781 (72.765)
Epoch: [74][220/5005] Time 0.220 (0.211) Data 0.043 (0.053) Loss 2.2211 (2.3010) Prec@1 52.344 (47.550) Prec@5 75.781 (72.780)
Epoch: [74][230/5005] Time 0.225 (0.212) Data 0.044 (0.053) Loss 2.3737 (2.3009) Prec@1 48.047 (47.599) Prec@5 72.656 (72.788)
Epoch: [74][240/5005] Time 0.224 (0.212) Data 0.049 (0.052) Loss 2.2470 (2.3009) Prec@1 49.219 (47.587) Prec@5 70.312 (72.776)
Epoch: [74][250/5005] Time 0.214 (0.213) Data 0.046 (0.052) Loss 2.3694 (2.2998) Prec@1 46.094 (47.572) Prec@5 74.609 (72.820)
Epoch: [74][260/5005] Time 0.222 (0.213) Data 0.045 (0.052) Loss 2.1931 (2.2985) Prec@1 48.828 (47.611) Prec@5 73.047 (72.837)
Epoch: [74][270/5005] Time 0.226 (0.213) Data 0.044 (0.052) Loss 2.4719 (2.2991) Prec@1 47.266 (47.577) Prec@5 70.703 (72.845)
Epoch: [74][280/5005] Time 0.224 (0.213) Data 0.043 (0.051) Loss 2.7676 (2.3010) Prec@1 41.797 (47.555) Prec@5 64.453 (72.795)
Epoch: [74][290/5005] Time 0.220 (0.214) Data 0.042 (0.051) Loss 2.2474 (2.3038) Prec@1 48.047 (47.475) Prec@5 73.438 (72.737)
Epoch: [74][300/5005] Time 0.222 (0.214) Data 0.043 (0.051) Loss 2.1417 (2.3036) Prec@1 47.656 (47.481) Prec@5 73.047 (72.725)
Epoch: [74][310/5005] Time 0.224 (0.214) Data 0.052 (0.051) Loss 2.1797 (2.3021) Prec@1 48.438 (47.511) Prec@5 75.391 (72.754)
Epoch: [74][320/5005] Time 0.216 (0.214) Data 0.057 (0.051) Loss 2.6551 (2.3034) Prec@1 41.797 (47.522) Prec@5 69.922 (72.734)
Epoch: [74][330/5005] Time 0.221 (0.214) Data 0.046 (0.051) Loss 2.0956 (2.3023) Prec@1 50.391 (47.517) Prec@5 77.344 (72.765)
Epoch: [74][340/5005] Time 0.215 (0.214) Data 0.051 (0.051) Loss 2.3742 (2.3047) Prec@1 47.656 (47.486) Prec@5 72.656 (72.727)
Epoch: [74][350/5005] Time 0.221 (0.214) Data 0.050 (0.051) Loss 2.5099 (2.3044) Prec@1 43.359 (47.494) Prec@5 66.797 (72.711)
Epoch: [74][360/5005] Time 0.217 (0.214) Data 0.047 (0.051) Loss 2.3657 (2.3034) Prec@1 48.828 (47.530) Prec@5 71.875 (72.727)
Epoch: [74][370/5005] Time 0.206 (0.214) Data 0.049 (0.051) Loss 2.2167 (2.3018) Prec@1 43.750 (47.528) Prec@5 75.000 (72.748)
Epoch: [74][380/5005] Time 0.205 (0.214) Data 0.050 (0.051) Loss 2.3711 (2.3024) Prec@1 48.047 (47.502) Prec@5 72.266 (72.750)
Epoch: [74][390/5005] Time 0.219 (0.214) Data 0.052 (0.051) Loss 2.3598 (2.3034) Prec@1 48.828 (47.495) Prec@5 72.656 (72.732)
Epoch: [74][400/5005] Time 0.222 (0.214) Data 0.047 (0.051) Loss 2.2255 (2.3026) Prec@1 45.312 (47.484) Prec@5 76.562 (72.757)
Epoch: [74][410/5005] Time 0.223 (0.214) Data 0.048 (0.051) Loss 2.3016 (2.3028) Prec@1 45.312 (47.479) Prec@5 73.438 (72.766)
Epoch: [74][420/5005] Time 0.221 (0.215) Data 0.045 (0.051) Loss 2.2777 (2.3028) Prec@1 50.391 (47.517) Prec@5 74.609 (72.794)
Epoch: [74][430/5005] Time 0.209 (0.215) Data 0.051 (0.051) Loss 2.2061 (2.3033) Prec@1 49.609 (47.484) Prec@5 78.125 (72.797)
Epoch: [74][440/5005] Time 0.221 (0.215) Data 0.043 (0.051) Loss 2.2211 (2.3024) Prec@1 50.000 (47.473) Prec@5 73.828 (72.809)
Epoch: [74][450/5005] Time 0.208 (0.215) Data 0.058 (0.051) Loss 2.1360 (2.3031) Prec@1 45.312 (47.441) Prec@5 75.391 (72.791)
Epoch: [74][460/5005] Time 0.217 (0.215) Data 0.043 (0.051) Loss 2.3220 (2.3033) Prec@1 46.094 (47.424) Prec@5 71.094 (72.798)
Epoch: [74][470/5005] Time 0.224 (0.215) Data 0.045 (0.051) Loss 2.2396 (2.3045) Prec@1 48.828 (47.390) Prec@5 74.609 (72.788)
Epoch: [74][480/5005] Time 0.214 (0.215) Data 0.064 (0.051) Loss 2.1893 (2.3049) Prec@1 46.875 (47.370) Prec@5 71.484 (72.779)
Epoch: [74][490/5005] Time 0.218 (0.215) Data 0.046 (0.051) Loss 2.4164 (2.3052) Prec@1 45.703 (47.357) Prec@5 74.219 (72.780)
Epoch: [74][500/5005] Time 0.210 (0.215) Data 0.045 (0.051) Loss 2.4452 (2.3066) Prec@1 47.656 (47.362) Prec@5 67.969 (72.736)
Epoch: [74][510/5005] Time 0.225 (0.215) Data 0.050 (0.051) Loss 2.6089 (2.3073) Prec@1 40.625 (47.344) Prec@5 68.359 (72.719)
Epoch: [74][520/5005] Time 0.218 (0.215) Data 0.045 (0.051) Loss 2.3080 (2.3065) Prec@1 46.875 (47.334) Prec@5 72.266 (72.727)
Epoch: [74][530/5005] Time 0.213 (0.215) Data 0.046 (0.051) Loss 2.2016 (2.3062) Prec@1 47.266 (47.343) Prec@5 75.000 (72.736)
Epoch: [74][540/5005] Time 0.222 (0.215) Data 0.040 (0.051) Loss 2.5658 (2.3071) Prec@1 42.188 (47.323) Prec@5 67.188 (72.718)
Epoch: [74][550/5005] Time 0.209 (0.215) Data 0.046 (0.050) Loss 2.1716 (2.3063) Prec@1 46.484 (47.329) Prec@5 77.734 (72.717)
Epoch: [74][560/5005] Time 0.221 (0.215) Data 0.045 (0.050) Loss 2.4964 (2.3059) Prec@1 43.750 (47.337) Prec@5 67.969 (72.724)
Epoch: [74][570/5005] Time 0.213 (0.215) Data 0.050 (0.050) Loss 2.2825 (2.3061) Prec@1 48.828 (47.326) Prec@5 72.656 (72.717)
Epoch: [74][580/5005] Time 0.217 (0.215) Data 0.043 (0.050) Loss 2.2403 (2.3059) Prec@1 50.391 (47.324) Prec@5 74.219 (72.727)
Epoch: [74][590/5005] Time 0.217 (0.215) Data 0.041 (0.050) Loss 2.5526 (2.3062) Prec@1 42.969 (47.338) Prec@5 69.531 (72.701)
Epoch: [74][600/5005] Time 0.222 (0.215) Data 0.057 (0.050) Loss 2.3572 (2.3074) Prec@1 44.922 (47.320) Prec@5 71.875 (72.697)
Epoch: [74][610/5005] Time 0.209 (0.215) Data 0.059 (0.050) Loss 2.3693 (2.3077) Prec@1 43.359 (47.310) Prec@5 71.484 (72.686)
Epoch: [74][620/5005] Time 0.211 (0.215) Data 0.044 (0.050) Loss 2.1699 (2.3077) Prec@1 51.953 (47.317) Prec@5 75.391 (72.690)
Epoch: [74][630/5005] Time 0.214 (0.215) Data 0.047 (0.050) Loss 2.5516 (2.3076) Prec@1 43.750 (47.339) Prec@5 70.703 (72.699)
Epoch: [74][640/5005] Time 0.211 (0.215) Data 0.045 (0.050) Loss 2.2507 (2.3071) Prec@1 46.875 (47.349) Prec@5 71.875 (72.701)
Epoch: [74][650/5005] Time 0.214 (0.215) Data 0.042 (0.050) Loss 2.3344 (2.3076) Prec@1 41.797 (47.332) Prec@5 69.922 (72.681)
Epoch: [74][660/5005] Time 0.213 (0.215) Data 0.044 (0.050) Loss 2.4075 (2.3072) Prec@1 45.312 (47.337) Prec@5 72.656 (72.699)
Epoch: [74][670/5005] Time 0.213 (0.215) Data 0.043 (0.050) Loss 2.5500 (2.3070) Prec@1 44.141 (47.346) Prec@5 70.703 (72.692)
Epoch: [74][680/5005] Time 0.215 (0.215) Data 0.042 (0.050) Loss 2.3518 (2.3068) Prec@1 47.656 (47.350) Prec@5 76.172 (72.691)
Epoch: [74][690/5005] Time 0.215 (0.215) Data 0.043 (0.050) Loss 2.0669 (2.3060) Prec@1 48.828 (47.359) Prec@5 78.906 (72.708)
Epoch: [74][700/5005] Time 0.217 (0.215) Data 0.043 (0.050) Loss 2.3322 (2.3058) Prec@1 44.141 (47.351) Prec@5 75.391 (72.717)
Epoch: [74][710/5005] Time 0.215 (0.215) Data 0.041 (0.050) Loss 2.0850 (2.3050) Prec@1 50.391 (47.362) Prec@5 77.734 (72.724)
Epoch: [74][720/5005] Time 0.215 (0.215) Data 0.047 (0.050) Loss 2.2306 (2.3046) Prec@1 45.703 (47.363) Prec@5 74.609 (72.729)
Epoch: [74][730/5005] Time 0.216 (0.215) Data 0.045 (0.050) Loss 2.3033 (2.3045) Prec@1 49.219 (47.350) Prec@5 73.828 (72.714)
Epoch: [74][740/5005] Time 0.212 (0.215) Data 0.047 (0.050) Loss 2.5033 (2.3051) Prec@1 45.312 (47.344) Prec@5 67.188 (72.695)
Epoch: [74][750/5005] Time 0.220 (0.215) Data 0.044 (0.050) Loss 2.0676 (2.3051) Prec@1 53.125 (47.331) Prec@5 75.391 (72.691)
Epoch: [74][760/5005] Time 0.212 (0.215) Data 0.055 (0.050) Loss 2.3024 (2.3048) Prec@1 44.922 (47.321) Prec@5 76.172 (72.702)
Epoch: [74][770/5005] Time 0.203 (0.215) Data 0.045 (0.050) Loss 2.4113 (2.3038) Prec@1 46.875 (47.351) Prec@5 68.750 (72.714)
Epoch: [74][780/5005] Time 0.212 (0.215) Data 0.053 (0.050) Loss 2.3016 (2.3036) Prec@1 45.312 (47.358) Prec@5 70.312 (72.718)
Epoch: [74][790/5005] Time 0.216 (0.215) Data 0.044 (0.049) Loss 2.3389 (2.3032) Prec@1 46.484 (47.369) Prec@5 73.047 (72.732)
Epoch: [74][800/5005] Time 0.218 (0.215) Data 0.058 (0.049) Loss 2.0852 (2.3020) Prec@1 49.219 (47.391) Prec@5 76.172 (72.744)
Epoch: [74][810/5005] Time 0.219 (0.215) Data 0.044 (0.049) Loss 2.4909 (2.3024) Prec@1 43.750 (47.385) Prec@5 69.531 (72.743)
Epoch: [74][820/5005] Time 0.219 (0.215) Data 0.041 (0.049) Loss 2.4099 (2.3024) Prec@1 46.094 (47.382) Prec@5 70.703 (72.751)
Epoch: [74][830/5005] Time 0.210 (0.215) Data 0.041 (0.049) Loss 2.1990 (2.3021) Prec@1 46.484 (47.377) Prec@5 73.438 (72.749)
Epoch: [74][840/5005] Time 0.213 (0.215) Data 0.047 (0.049) Loss 2.2095 (2.3022) Prec@1 52.734 (47.388) Prec@5 72.656 (72.746)
Epoch: [74][850/5005] Time 0.216 (0.215) Data 0.042 (0.049) Loss 2.4012 (2.3020) Prec@1 50.391 (47.404) Prec@5 73.828 (72.750)
Epoch: [74][860/5005] Time 0.218 (0.215) Data 0.042 (0.049) Loss 2.3523 (2.3024) Prec@1 43.750 (47.392) Prec@5 69.922 (72.740)
Epoch: [74][870/5005] Time 0.217 (0.215) Data 0.044 (0.049) Loss 2.3051 (2.3018) Prec@1 45.703 (47.402) Prec@5 73.438 (72.753)
Epoch: [74][880/5005] Time 0.217 (0.215) Data 0.054 (0.049) Loss 2.2061 (2.3019) Prec@1 48.828 (47.390) Prec@5 71.875 (72.750)
Epoch: [74][890/5005] Time 0.219 (0.215) Data 0.049 (0.049) Loss 2.6186 (2.3018) Prec@1 41.016 (47.380) Prec@5 68.750 (72.751)
Epoch: [74][900/5005] Time 0.209 (0.215) Data 0.049 (0.049) Loss 2.2561 (2.3016) Prec@1 45.703 (47.380) Prec@5 74.609 (72.751)
Epoch: [74][910/5005] Time 0.215 (0.215) Data 0.043 (0.049) Loss 2.2669 (2.3015) Prec@1 49.609 (47.378) Prec@5 72.266 (72.745)
Epoch: [74][920/5005] Time 0.224 (0.215) Data 0.042 (0.049) Loss 2.2667 (2.3006) Prec@1 48.047 (47.403) Prec@5 75.000 (72.767)
Epoch: [74][930/5005] Time 0.218 (0.215) Data 0.044 (0.049) Loss 2.3667 (2.3005) Prec@1 44.531 (47.400) Prec@5 69.922 (72.765)
Epoch: [74][940/5005] Time 0.214 (0.215) Data 0.043 (0.049) Loss 1.9874 (2.3007) Prec@1 51.172 (47.398) Prec@5 76.953 (72.765)
Epoch: [74][950/5005] Time 0.216 (0.215) Data 0.044 (0.049) Loss 2.4040 (2.3015) Prec@1 46.484 (47.390) Prec@5 70.312 (72.752)
Epoch: [74][960/5005] Time 0.213 (0.215) Data 0.042 (0.049) Loss 2.5033 (2.3019) Prec@1 47.266 (47.384) Prec@5 69.531 (72.736)
Epoch: [74][970/5005] Time 0.215 (0.215) Data 0.044 (0.049) Loss 2.0132 (2.3020) Prec@1 53.906 (47.381) Prec@5 78.906 (72.735)
Epoch: [74][980/5005] Time 0.215 (0.215) Data 0.041 (0.049) Loss 2.2454 (2.3015) Prec@1 45.703 (47.382) Prec@5 72.656 (72.741)
Epoch: [74][990/5005] Time 0.216 (0.214) Data 0.046 (0.049) Loss 2.3920 (2.3021) Prec@1 46.484 (47.367) Prec@5 72.266 (72.728)
Epoch: [74][1000/5005] Time 0.210 (0.214) Data 0.044 (0.049) Loss 2.3620 (2.3022) Prec@1 47.266 (47.360) Prec@5 69.531 (72.718)
Epoch: [74][1010/5005] Time 0.217 (0.214) Data 0.044 (0.049) Loss 2.2741 (2.3017) Prec@1 48.047 (47.364) Prec@5 70.703 (72.723)
Epoch: [74][1020/5005] Time 0.217 (0.214) Data 0.044 (0.049) Loss 2.1560 (2.3020) Prec@1 54.297 (47.368) Prec@5 75.391 (72.718)
Epoch: [74][1030/5005] Time 0.212 (0.214) Data 0.051 (0.049) Loss 2.1586 (2.3012) Prec@1 50.781 (47.382) Prec@5 73.828 (72.732)
Epoch: [74][1040/5005] Time 0.194 (0.216) Data 0.045 (0.049) Loss 2.4354 (2.3015) Prec@1 45.703 (47.385) Prec@5 71.094 (72.727)
Epoch: [74][1050/5005] Time 0.197 (0.215) Data 0.060 (0.049) Loss 2.3704 (2.3014) Prec@1 46.875 (47.383) Prec@5 69.922 (72.724)
Epoch: [74][1060/5005] Time 0.208 (0.215) Data 0.048 (0.049) Loss 2.3183 (2.3015) Prec@1 46.094 (47.376) Prec@5 77.344 (72.736)
Epoch: [74][1070/5005] Time 0.194 (0.215) Data 0.047 (0.049) Loss 2.2181 (2.3017) Prec@1 46.094 (47.361) Prec@5 74.609 (72.736)
Epoch: [74][1080/5005] Time 0.211 (0.215) Data 0.048 (0.049) Loss 2.3833 (2.3019) Prec@1 45.312 (47.367) Prec@5 72.266 (72.727)
Epoch: [74][1090/5005] Time 0.216 (0.215) Data 0.053 (0.049) Loss 2.1072 (2.3016) Prec@1 51.562 (47.371) Prec@5 76.562 (72.741)
Epoch: [74][1100/5005] Time 0.214 (0.215) Data 0.051 (0.049) Loss 2.2367 (2.3012) Prec@1 46.875 (47.385) Prec@5 75.000 (72.748)
Epoch: [74][1110/5005] Time 0.213 (0.215) Data 0.042 (0.049) Loss 2.2207 (2.3009) Prec@1 43.750 (47.390) Prec@5 75.000 (72.748)
Epoch: [74][1120/5005] Time 0.222 (0.215) Data 0.044 (0.049) Loss 2.2494 (2.3004) Prec@1 52.734 (47.407) Prec@5 72.656 (72.756)
Epoch: [74][1130/5005] Time 0.204 (0.215) Data 0.059 (0.049) Loss 2.4325 (2.3008) Prec@1 44.922 (47.409) Prec@5 69.922 (72.748)
Epoch: [74][1140/5005] Time 0.211 (0.215) Data 0.059 (0.049) Loss 2.3376 (2.3004) Prec@1 50.000 (47.411) Prec@5 69.531 (72.744)
Epoch: [74][1150/5005] Time 0.218 (0.215) Data 0.042 (0.049) Loss 2.2680 (2.3002) Prec@1 43.750 (47.412) Prec@5 73.828 (72.748)
Epoch: [74][1160/5005] Time 0.209 (0.215) Data 0.042 (0.049) Loss 2.3148 (2.3001) Prec@1 44.922 (47.410) Prec@5 72.656 (72.745)
Epoch: [74][1170/5005] Time 0.206 (0.215) Data 0.046 (0.049) Loss 2.2785 (2.3001) Prec@1 45.312 (47.407) Prec@5 74.609 (72.745)
Epoch: [74][1180/5005] Time 0.210 (0.215) Data 0.042 (0.049) Loss 2.3826 (2.3001) Prec@1 44.141 (47.398) Prec@5 69.922 (72.738)
Epoch: [74][1190/5005] Time 0.212 (0.215) Data 0.057 (0.049) Loss 2.1765 (2.2995) Prec@1 48.047 (47.407) Prec@5 73.438 (72.746)
Epoch: [74][1200/5005] Time 0.210 (0.215) Data 0.060 (0.049) Loss 2.4708 (2.2994) Prec@1 42.969 (47.398) Prec@5 71.094 (72.752)
Epoch: [74][1210/5005] Time 0.208 (0.215) Data 0.057 (0.049) Loss 2.3898 (2.2998) Prec@1 42.969 (47.389) Prec@5 70.703 (72.745)
Epoch: [74][1220/5005] Time 0.212 (0.215) Data 0.044 (0.049) Loss 2.2769 (2.2999) Prec@1 48.828 (47.377) Prec@5 74.219 (72.749)
Epoch: [74][1230/5005] Time 0.215 (0.215) Data 0.044 (0.049) Loss 2.3295 (2.3000) Prec@1 48.438 (47.372) Prec@5 75.391 (72.758)
Epoch: [74][1240/5005] Time 0.210 (0.215) Data 0.040 (0.049) Loss 2.3497 (2.2999) Prec@1 47.656 (47.371) Prec@5 72.656 (72.746)
Epoch: [74][1250/5005] Time 0.214 (0.215) Data 0.044 (0.049) Loss 2.4855 (2.3000) Prec@1 43.359 (47.366) Prec@5 69.141 (72.741)
Epoch: [74][1260/5005] Time 0.214 (0.215) Data 0.043 (0.049) Loss 2.1284 (2.2995) Prec@1 49.219 (47.368) Prec@5 76.562 (72.754)
Epoch: [74][1270/5005] Time 0.203 (0.215) Data 0.059 (0.049) Loss 2.3123 (2.3000) Prec@1 46.484 (47.359) Prec@5 72.656 (72.743)
Epoch: [74][1280/5005] Time 0.216 (0.215) Data 0.044 (0.049) Loss 2.2362 (2.3005) Prec@1 47.266 (47.352) Prec@5 73.438 (72.734)
Epoch: [74][1290/5005] Time 0.210 (0.215) Data 0.047 (0.049) Loss 2.0510 (2.3005) Prec@1 53.125 (47.356) Prec@5 75.781 (72.724)
Epoch: [74][1300/5005] Time 0.207 (0.215) Data 0.061 (0.049) Loss 2.1431 (2.3005) Prec@1 53.516 (47.361) Prec@5 75.000 (72.727)
Epoch: [74][1310/5005] Time 0.215 (0.215) Data 0.042 (0.049) Loss 2.3120 (2.3003) Prec@1 45.703 (47.353) Prec@5 71.484 (72.729)
Epoch: [74][1320/5005] Time 0.196 (0.215) Data 0.053 (0.049) Loss 2.3497 (2.3003) Prec@1 50.391 (47.351) Prec@5 71.094 (72.729)
Epoch: [74][1330/5005] Time 0.210 (0.215) Data 0.047 (0.049) Loss 2.3902 (2.3006) Prec@1 46.484 (47.351) Prec@5 70.312 (72.722)
Epoch: [74][1340/5005] Time 0.206 (0.215) Data 0.058 (0.049) Loss 2.3115 (2.3004) Prec@1 46.875 (47.352) Prec@5 71.094 (72.726)
Epoch: [74][1350/5005] Time 0.209 (0.214) Data 0.051 (0.049) Loss 2.6925 (2.3011) Prec@1 42.188 (47.347) Prec@5 68.359 (72.719)
Epoch: [74][1360/5005] Time 0.208 (0.214) Data 0.042 (0.049) Loss 2.1145 (2.3007) Prec@1 48.828 (47.353) Prec@5 75.391 (72.718)
Epoch: [74][1370/5005] Time 0.196 (0.214) Data 0.041 (0.049) Loss 2.4862 (2.3005) Prec@1 46.094 (47.354) Prec@5 73.828 (72.727)
Epoch: [74][1380/5005] Time 0.214 (0.214) Data 0.046 (0.049) Loss 2.3055 (2.3004) Prec@1 48.438 (47.354) Prec@5 73.047 (72.734)
Epoch: [74][1390/5005] Time 0.216 (0.214) Data 0.043 (0.049) Loss 2.2990 (2.3006) Prec@1 45.703 (47.353) Prec@5 73.047 (72.730)
Epoch: [74][1400/5005] Time 0.211 (0.214) Data 0.048 (0.049) Loss 2.2940 (2.2997) Prec@1 47.656 (47.361) Prec@5 71.875 (72.748)
Epoch: [74][1410/5005] Time 0.217 (0.214) Data 0.043 (0.049) Loss 2.2170 (2.2998) Prec@1 52.734 (47.356) Prec@5 74.219 (72.751)
Epoch: [74][1420/5005] Time 0.211 (0.214) Data 0.044 (0.049) Loss 2.5846 (2.2999) Prec@1 44.531 (47.357) Prec@5 69.141 (72.752)
Epoch: [74][1430/5005] Time 0.216 (0.214) Data 0.042 (0.049) Loss 2.0401 (2.2995) Prec@1 50.391 (47.367) Prec@5 78.516 (72.756)
Epoch: [74][1440/5005] Time 0.217 (0.214) Data 0.043 (0.049) Loss 2.1004 (2.2992) Prec@1 50.000 (47.369) Prec@5 75.781 (72.761)
Epoch: [74][1450/5005] Time 0.208 (0.214) Data 0.041 (0.048) Loss 2.2435 (2.2993) Prec@1 52.734 (47.370) Prec@5 73.828 (72.753)
Epoch: [74][1460/5005] Time 0.210 (0.214) Data 0.043 (0.048) Loss 2.3379 (2.2992) Prec@1 46.094 (47.382) Prec@5 73.047 (72.754)
Epoch: [74][1470/5005] Time 0.210 (0.214) Data 0.051 (0.048) Loss 2.3859 (2.2994) Prec@1 46.484 (47.375) Prec@5 71.484 (72.749)
Epoch: [74][1480/5005] Time 0.212 (0.214) Data 0.048 (0.048) Loss 2.1726 (2.2995) Prec@1 52.734 (47.376) Prec@5 75.391 (72.746)
Epoch: [74][1490/5005] Time 0.217 (0.214) Data 0.043 (0.048) Loss 2.4444 (2.2992) Prec@1 46.484 (47.382) Prec@5 69.141 (72.748)
Epoch: [74][1500/5005] Time 0.205 (0.214) Data 0.061 (0.048) Loss 2.2723 (2.2989) Prec@1 48.438 (47.387) Prec@5 75.000 (72.757)
Epoch: [74][1510/5005] Time 0.201 (0.214) Data 0.052 (0.048) Loss 2.2046 (2.2987) Prec@1 46.875 (47.394) Prec@5 73.047 (72.765)
Epoch: [74][1520/5005] Time 0.207 (0.214) Data 0.051 (0.048) Loss 2.3073 (2.2984) Prec@1 49.609 (47.400) Prec@5 73.047 (72.774)
Epoch: [74][1530/5005] Time 0.209 (0.214) Data 0.062 (0.049) Loss 2.4459 (2.2987) Prec@1 45.703 (47.402) Prec@5 71.875 (72.770)
Epoch: [74][1540/5005] Time 0.212 (0.214) Data 0.047 (0.048) Loss 2.4700 (2.2989) Prec@1 46.484 (47.407) Prec@5 68.359 (72.764)
Epoch: [74][1550/5005] Time 0.213 (0.214) Data 0.058 (0.048) Loss 2.2650 (2.2988) Prec@1 48.047 (47.407) Prec@5 75.781 (72.769)
Epoch: [74][1560/5005] Time 0.207 (0.214) Data 0.044 (0.048) Loss 2.1311 (2.2989) Prec@1 50.781 (47.405) Prec@5 75.000 (72.772)
Epoch: [74][1570/5005] Time 0.204 (0.214) Data 0.046 (0.048) Loss 2.1325 (2.2987) Prec@1 49.219 (47.403) Prec@5 76.172 (72.772)
Epoch: [74][1580/5005] Time 0.197 (0.214) Data 0.071 (0.048) Loss 2.2283 (2.2990) Prec@1 46.094 (47.396) Prec@5 74.609 (72.776)
Epoch: [74][1590/5005] Time 0.204 (0.214) Data 0.063 (0.048) Loss 2.2855 (2.2990) Prec@1 50.391 (47.396) Prec@5 73.047 (72.779)
Epoch: [74][1600/5005] Time 0.197 (0.214) Data 0.051 (0.048) Loss 2.3509 (2.2989) Prec@1 48.047 (47.400) Prec@5 71.875 (72.782)
Epoch: [74][1610/5005] Time 0.209 (0.214) Data 0.049 (0.048) Loss 2.3855 (2.2990) Prec@1 46.094 (47.404) Prec@5 73.438 (72.783)
Epoch: [74][1620/5005] Time 0.217 (0.214) Data 0.044 (0.048) Loss 2.5007 (2.2987) Prec@1 43.750 (47.403) Prec@5 69.922 (72.785)
Epoch: [74][1630/5005] Time 0.219 (0.214) Data 0.046 (0.048) Loss 2.1316 (2.2986) Prec@1 49.609 (47.405) Prec@5 74.219 (72.780)
Epoch: [74][1640/5005] Time 0.211 (0.214) Data 0.047 (0.048) Loss 2.3335 (2.2988) Prec@1 47.656 (47.405) Prec@5 71.484 (72.775)
Epoch: [74][1650/5005] Time 0.205 (0.214) Data 0.062 (0.048) Loss 2.2806 (2.2989) Prec@1 47.656 (47.405) Prec@5 71.484 (72.771)
Epoch: [74][1660/5005] Time 0.213 (0.214) Data 0.043 (0.048) Loss 2.1895 (2.2983) Prec@1 46.875 (47.416) Prec@5 75.000 (72.777)
Epoch: [74][1670/5005] Time 0.209 (0.214) Data 0.042 (0.048) Loss 2.0655 (2.2983) Prec@1 51.562 (47.421) Prec@5 78.516 (72.781)
Epoch: [74][1680/5005] Time 0.204 (0.214) Data 0.047 (0.048) Loss 2.4531 (2.2986) Prec@1 47.656 (47.417) Prec@5 69.531 (72.775)
Epoch: [74][1690/5005] Time 0.204 (0.214) Data 0.056 (0.048) Loss 2.2980 (2.2981) Prec@1 44.141 (47.425) Prec@5 73.438 (72.780)
Epoch: [74][1700/5005] Time 0.207 (0.214) Data 0.066 (0.048) Loss 2.1855 (2.2977) Prec@1 49.609 (47.434) Prec@5 73.828 (72.783)
Epoch: [74][1710/5005] Time 0.201 (0.214) Data 0.057 (0.048) Loss 2.1046 (2.2972) Prec@1 51.172 (47.438) Prec@5 77.734 (72.794)
Epoch: [74][1720/5005] Time 0.211 (0.213) Data 0.046 (0.048) Loss 2.4095 (2.2971) Prec@1 43.750 (47.439) Prec@5 70.312 (72.788)
Epoch: [74][1730/5005] Time 0.202 (0.213) Data 0.045 (0.048) Loss 2.2974 (2.2971) Prec@1 45.312 (47.435) Prec@5 71.875 (72.792)
Epoch: [74][1740/5005] Time 0.211 (0.213) Data 0.048 (0.048) Loss 2.4168 (2.2968) Prec@1 44.141 (47.438) Prec@5 72.656 (72.798)
Epoch: [74][1750/5005] Time 0.214 (0.213) Data 0.043 (0.048) Loss 2.2856 (2.2965) Prec@1 45.703 (47.439) Prec@5 71.094 (72.803)
Epoch: [74][1760/5005] Time 0.206 (0.213) Data 0.046 (0.048) Loss 2.1341 (2.2964) Prec@1 51.953 (47.446) Prec@5 78.906 (72.805)
Epoch: [74][1770/5005] Time 0.205 (0.213) Data 0.047 (0.048) Loss 2.4490 (2.2962) Prec@1 44.922 (47.446) Prec@5 70.703 (72.808)
Epoch: [74][1780/5005] Time 0.212 (0.213) Data 0.042 (0.048) Loss 2.1934 (2.2961) Prec@1 47.656 (47.447) Prec@5 73.828 (72.815)
Epoch: [74][1790/5005] Time 0.210 (0.213) Data 0.054 (0.048) Loss 2.1311 (2.2958) Prec@1 50.781 (47.447) Prec@5 74.609 (72.818)
Epoch: [74][1800/5005] Time 0.212 (0.213) Data 0.045 (0.048) Loss 2.3439 (2.2958) Prec@1 46.875 (47.452) Prec@5 73.047 (72.817)
Epoch: [74][1810/5005] Time 0.210 (0.213) Data 0.042 (0.048) Loss 2.1957 (2.2956) Prec@1 48.828 (47.452) Prec@5 74.609 (72.822)
Epoch: [74][1820/5005] Time 0.205 (0.213) Data 0.041 (0.048) Loss 2.2577 (2.2956) Prec@1 44.531 (47.456) Prec@5 73.828 (72.825)
Epoch: [74][1830/5005] Time 0.212 (0.213) Data 0.042 (0.048) Loss 2.1373 (2.2953) Prec@1 48.047 (47.462) Prec@5 77.344 (72.832)
Epoch: [74][1840/5005] Time 0.212 (0.213) Data 0.043 (0.048) Loss 2.3952 (2.2952) Prec@1 46.875 (47.463) Prec@5 70.312 (72.834)
Epoch: [74][1850/5005] Time 0.214 (0.213) Data 0.046 (0.048) Loss 2.2791 (2.2949) Prec@1 46.094 (47.464) Prec@5 76.953 (72.840)
Epoch: [74][1860/5005] Time 0.205 (0.213) Data 0.064 (0.048) Loss 2.3046 (2.2951) Prec@1 45.703 (47.465) Prec@5 71.875 (72.834)
Epoch: [74][1870/5005] Time 0.214 (0.213) Data 0.042 (0.048) Loss 2.5338 (2.2955) Prec@1 43.359 (47.456) Prec@5 67.969 (72.829)
Epoch: [74][1880/5005] Time 0.211 (0.213) Data 0.057 (0.048) Loss 2.3677 (2.2957) Prec@1 44.922 (47.454) Prec@5 69.531 (72.823)
Epoch: [74][1890/5005] Time 0.206 (0.213) Data 0.048 (0.048) Loss 2.4262 (2.2956) Prec@1 47.266 (47.462) Prec@5 73.047 (72.827)
Epoch: [74][1900/5005] Time 0.207 (0.213) Data 0.045 (0.048) Loss 2.3486 (2.2961) Prec@1 48.828 (47.451) Prec@5 73.047 (72.821)
Epoch: [74][1910/5005] Time 0.211 (0.213) Data 0.042 (0.048) Loss 2.2406 (2.2961) Prec@1 45.312 (47.448) Prec@5 73.438 (72.821)
Epoch: [74][1920/5005] Time 0.209 (0.213) Data 0.049 (0.048) Loss 2.0377 (2.2958) Prec@1 50.391 (47.447) Prec@5 78.906 (72.825)
Epoch: [74][1930/5005] Time 0.211 (0.213) Data 0.043 (0.048) Loss 2.2018 (2.2959) Prec@1 48.047 (47.446) Prec@5 73.828 (72.828)
Epoch: [74][1940/5005] Time 0.210 (0.213) Data 0.046 (0.048) Loss 2.0149 (2.2957) Prec@1 51.562 (47.446) Prec@5 76.953 (72.834)
Epoch: [74][1950/5005] Time 0.210 (0.213) Data 0.044 (0.048) Loss 2.4004 (2.2957) Prec@1 42.578 (47.444) Prec@5 71.484 (72.835)
Epoch: [74][1960/5005] Time 0.214 (0.213) Data 0.043 (0.048) Loss 2.0934 (2.2955) Prec@1 51.562 (47.448) Prec@5 77.344 (72.841)
Epoch: [74][1970/5005] Time 0.202 (0.213) Data 0.044 (0.048) Loss 2.2364 (2.2956) Prec@1 46.484 (47.438) Prec@5 72.266 (72.834)
Epoch: [74][1980/5005] Time 0.210 (0.213) Data 0.043 (0.048) Loss 2.0680 (2.2955) Prec@1 51.562 (47.445) Prec@5 75.391 (72.837)
Epoch: [74][1990/5005] Time 0.203 (0.213) Data 0.043 (0.048) Loss 2.0978 (2.2953) Prec@1 52.734 (47.453) Prec@5 76.562 (72.841)
Epoch: [74][2000/5005] Time 0.211 (0.214) Data 0.046 (0.048) Loss 2.1084 (2.2955) Prec@1 54.297 (47.454) Prec@5 76.562 (72.839)
Epoch: [74][2010/5005] Time 0.193 (0.213) Data 0.046 (0.048) Loss 2.0868 (2.2953) Prec@1 49.219 (47.455) Prec@5 74.219 (72.843)
Epoch: [74][2020/5005] Time 0.210 (0.213) Data 0.045 (0.048) Loss 2.2368 (2.2953) Prec@1 50.391 (47.450) Prec@5 73.828 (72.842)
Epoch: [74][2030/5005] Time 0.196 (0.213) Data 0.065 (0.048) Loss 2.2281 (2.2952) Prec@1 46.484 (47.454) Prec@5 73.828 (72.846)
Epoch: [74][2040/5005] Time 0.207 (0.213) Data 0.047 (0.048) Loss 2.0338 (2.2949) Prec@1 49.609 (47.457) Prec@5 77.344 (72.851)
Epoch: [74][2050/5005] Time 0.209 (0.213) Data 0.044 (0.048) Loss 2.3865 (2.2948) Prec@1 51.953 (47.461) Prec@5 70.312 (72.852)
Epoch: [74][2060/5005] Time 0.208 (0.213) Data 0.039 (0.048) Loss 2.3028 (2.2949) Prec@1 45.312 (47.455) Prec@5 71.875 (72.850)
Epoch: [74][2070/5005] Time 0.211 (0.213) Data 0.040 (0.048) Loss 2.4578 (2.2950) Prec@1 44.141 (47.451) Prec@5 67.578 (72.843)
Epoch: [74][2080/5005] Time 0.212 (0.213) Data 0.044 (0.048) Loss 2.3345 (2.2949) Prec@1 47.266 (47.456) Prec@5 71.875 (72.842)
Epoch: [74][2090/5005] Time 0.204 (0.213) Data 0.041 (0.048) Loss 2.2417 (2.2943) Prec@1 50.391 (47.465) Prec@5 75.781 (72.849)
Epoch: [74][2100/5005] Time 0.212 (0.213) Data 0.042 (0.048) Loss 2.2969 (2.2941) Prec@1 45.312 (47.467) Prec@5 73.438 (72.852)
Epoch: [74][2110/5005] Time 0.211 (0.213) Data 0.044 (0.048) Loss 2.1636 (2.2941) Prec@1 48.438 (47.467) Prec@5 75.391 (72.853)
Epoch: [74][2120/5005] Time 0.204 (0.213) Data 0.048 (0.048) Loss 2.2163 (2.2938) Prec@1 51.172 (47.475) Prec@5 72.656 (72.863)
Epoch: [74][2130/5005] Time 0.203 (0.213) Data 0.043 (0.048) Loss 2.2195 (2.2934) Prec@1 49.609 (47.479) Prec@5 76.562 (72.870)
Epoch: [74][2140/5005] Time 0.215 (0.213) Data 0.046 (0.048) Loss 2.1489 (2.2935) Prec@1 51.172 (47.482) Prec@5 72.266 (72.867)
Epoch: [74][2150/5005] Time 0.209 (0.213) Data 0.052 (0.048) Loss 2.0744 (2.2935) Prec@1 54.688 (47.488) Prec@5 76.953 (72.867)
Epoch: [74][2160/5005] Time 0.207 (0.213) Data 0.051 (0.048) Loss 2.2783 (2.2934) Prec@1 44.922 (47.489) Prec@5 74.609 (72.868)
Epoch: [74][2170/5005] Time 0.207 (0.213) Data 0.043 (0.048) Loss 2.1460 (2.2933) Prec@1 50.781 (47.498) Prec@5 73.438 (72.875)
Epoch: [74][2180/5005] Time 0.205 (0.213) Data 0.057 (0.048) Loss 2.2595 (2.2932) Prec@1 54.688 (47.494) Prec@5 72.266 (72.879)
Epoch: [74][2190/5005] Time 0.208 (0.213) Data 0.047 (0.048) Loss 2.4537 (2.2933) Prec@1 44.141 (47.496) Prec@5 71.875 (72.878)
Epoch: [74][2200/5005] Time 0.214 (0.213) Data 0.041 (0.048) Loss 2.3955 (2.2935) Prec@1 45.312 (47.487) Prec@5 69.531 (72.879)
Epoch: [74][2210/5005] Time 0.208 (0.213) Data 0.048 (0.048) Loss 2.3530 (2.2938) Prec@1 44.922 (47.480) Prec@5 69.531 (72.877)
Epoch: [74][2220/5005] Time 0.208 (0.213) Data 0.041 (0.048) Loss 2.5252 (2.2938) Prec@1 47.266 (47.480) Prec@5 69.531 (72.880)
Epoch: [74][2230/5005] Time 0.210 (0.213) Data 0.046 (0.048) Loss 2.2683 (2.2940) Prec@1 47.266 (47.473) Prec@5 75.781 (72.876)
Epoch: [74][2240/5005] Time 0.213 (0.213) Data 0.042 (0.048) Loss 2.1917 (2.2940) Prec@1 50.391 (47.474) Prec@5 75.000 (72.878)
Epoch: [74][2250/5005] Time 0.213 (0.213) Data 0.041 (0.048) Loss 2.1865 (2.2941) Prec@1 44.531 (47.471) Prec@5 74.609 (72.874)
Epoch: [74][2260/5005] Time 0.212 (0.213) Data 0.041 (0.048) Loss 2.2478 (2.2938) Prec@1 48.047 (47.475) Prec@5 72.656 (72.879)
Epoch: [74][2270/5005] Time 0.205 (0.213) Data 0.041 (0.048) Loss 2.4787 (2.2938) Prec@1 44.922 (47.475) Prec@5 68.359 (72.879)
Epoch: [74][2280/5005] Time 0.211 (0.213) Data 0.041 (0.048) Loss 2.3331 (2.2938) Prec@1 47.266 (47.475) Prec@5 73.047 (72.882)
Epoch: [74][2290/5005] Time 0.209 (0.213) Data 0.043 (0.048) Loss 2.3177 (2.2937) Prec@1 48.828 (47.479) Prec@5 71.875 (72.885)
Epoch: [74][2300/5005] Time 0.214 (0.213) Data 0.043 (0.048) Loss 2.2469 (2.2937) Prec@1 47.266 (47.481) Prec@5 71.094 (72.883)
Epoch: [74][2310/5005] Time 0.211 (0.213) Data 0.043 (0.048) Loss 2.2632 (2.2937) Prec@1 49.219 (47.484) Prec@5 74.609 (72.881)
Epoch: [74][2320/5005] Time 0.212 (0.213) Data 0.044 (0.048) Loss 2.2590 (2.2937) Prec@1 45.703 (47.481) Prec@5 74.609 (72.882)
Epoch: [74][2330/5005] Time 0.206 (0.213) Data 0.045 (0.048) Loss 2.2607 (2.2935) Prec@1 51.172 (47.481) Prec@5 72.656 (72.884)
Epoch: [74][2340/5005] Time 0.213 (0.213) Data 0.043 (0.048) Loss 2.2228 (2.2933) Prec@1 49.609 (47.483) Prec@5 75.000 (72.884)
Epoch: [74][2350/5005] Time 0.207 (0.213) Data 0.042 (0.048) Loss 2.2456 (2.2932) Prec@1 44.922 (47.482) Prec@5 73.828 (72.883)
Epoch: [74][2360/5005] Time 0.207 (0.213) Data 0.042 (0.048) Loss 2.1942 (2.2931) Prec@1 50.781 (47.482) Prec@5 74.609 (72.888)
Epoch: [74][2370/5005] Time 0.206 (0.213) Data 0.060 (0.048) Loss 2.2168 (2.2931) Prec@1 46.484 (47.481) Prec@5 73.438 (72.887)
Epoch: [74][2380/5005] Time 0.203 (0.213) Data 0.058 (0.048) Loss 2.2930 (2.2928) Prec@1 48.438 (47.489) Prec@5 71.094 (72.892)
Epoch: [74][2390/5005] Time 0.199 (0.213) Data 0.054 (0.048) Loss 2.3327 (2.2927) Prec@1 48.047 (47.496) Prec@5 71.875 (72.893)
Epoch: [74][2400/5005] Time 0.212 (0.213) Data 0.044 (0.048) Loss 2.3461 (2.2926) Prec@1 47.656 (47.496) Prec@5 70.312 (72.891)
Epoch: [74][2410/5005] Time 0.213 (0.213) Data 0.044 (0.048) Loss 2.6218 (2.2927) Prec@1 41.406 (47.496) Prec@5 66.016 (72.889)
Epoch: [74][2420/5005] Time 0.217 (0.213) Data 0.043 (0.048) Loss 2.3339 (2.2926) Prec@1 50.000 (47.507) Prec@5 72.656 (72.893)
Epoch: [74][2430/5005] Time 0.214 (0.213) Data 0.044 (0.048) Loss 2.2024 (2.2927) Prec@1 47.656 (47.506) Prec@5 73.828 (72.892)
Epoch: [74][2440/5005] Time 0.210 (0.213) Data 0.040 (0.048) Loss 2.2486 (2.2927) Prec@1 50.391 (47.509) Prec@5 75.781 (72.889)
Epoch: [74][2450/5005] Time 0.200 (0.213) Data 0.042 (0.048) Loss 2.2884 (2.2926) Prec@1 48.438 (47.512) Prec@5 71.484 (72.890)
Epoch: [74][2460/5005] Time 0.205 (0.213) Data 0.056 (0.048) Loss 2.2200 (2.2925) Prec@1 48.438 (47.511) Prec@5 73.828 (72.890)
Epoch: [74][2470/5005] Time 0.201 (0.213) Data 0.057 (0.048) Loss 2.0910 (2.2923) Prec@1 52.344 (47.516) Prec@5 74.219 (72.893)
Epoch: [74][2480/5005] Time 0.205 (0.213) Data 0.047 (0.048) Loss 2.3240 (2.2925) Prec@1 48.438 (47.514) Prec@5 68.750 (72.892)
Epoch: [74][2490/5005] Time 0.201 (0.213) Data 0.048 (0.048) Loss 2.1040 (2.2925) Prec@1 52.734 (47.512) Prec@5 76.172 (72.890)
Epoch: [74][2500/5005] Time 0.209 (0.213) Data 0.041 (0.048) Loss 2.2444 (2.2923) Prec@1 49.609 (47.516) Prec@5 73.047 (72.893)
Epoch: [74][2510/5005] Time 0.208 (0.213) Data 0.058 (0.048) Loss 2.4689 (2.2924) Prec@1 44.922 (47.513) Prec@5 71.484 (72.893)
Epoch: [74][2520/5005] Time 0.209 (0.213) Data 0.040 (0.048) Loss 2.1906 (2.2923) Prec@1 49.219 (47.517) Prec@5 75.781 (72.893)
Epoch: [74][2530/5005] Time 0.207 (0.212) Data 0.059 (0.048) Loss 2.4485 (2.2925) Prec@1 43.750 (47.516) Prec@5 67.188 (72.889)
Epoch: [74][2540/5005] Time 0.207 (0.212) Data 0.045 (0.048) Loss 2.2201 (2.2923) Prec@1 46.484 (47.518) Prec@5 73.438 (72.889)
Epoch: [74][2550/5005] Time 0.221 (0.212) Data 0.046 (0.048) Loss 2.3107 (2.2924) Prec@1 47.656 (47.518) Prec@5 72.656 (72.888)
Epoch: [74][2560/5005] Time 0.198 (0.212) Data 0.046 (0.048) Loss 2.4988 (2.2925) Prec@1 45.312 (47.517) Prec@5 73.438 (72.887)
Epoch: [74][2570/5005] Time 0.213 (0.212) Data 0.043 (0.048) Loss 2.4628 (2.2927) Prec@1 42.188 (47.512) Prec@5 71.484 (72.884)
Epoch: [74][2580/5005] Time 0.205 (0.212) Data 0.048 (0.048) Loss 2.2467 (2.2931) Prec@1 50.781 (47.506) Prec@5 75.000 (72.881)
Epoch: [74][2590/5005] Time 0.209 (0.212) Data 0.047 (0.048) Loss 2.3950 (2.2929) Prec@1 48.828 (47.512) Prec@5 72.266 (72.883)
Epoch: [74][2600/5005] Time 0.197 (0.212) Data 0.050 (0.048) Loss 2.3790 (2.2931) Prec@1 46.484 (47.506) Prec@5 74.219 (72.883)
Epoch: [74][2610/5005] Time 0.200 (0.212) Data 0.045 (0.048) Loss 2.4314 (2.2928) Prec@1 48.438 (47.515) Prec@5 67.969 (72.887)
Epoch: [74][2620/5005] Time 0.210 (0.212) Data 0.043 (0.048) Loss 2.3069 (2.2930) Prec@1 41.797 (47.514) Prec@5 71.484 (72.885)
Epoch: [74][2630/5005] Time 0.205 (0.212) Data 0.058 (0.048) Loss 2.4988 (2.2934) Prec@1 43.359 (47.510) Prec@5 72.266 (72.879)
Epoch: [74][2640/5005] Time 0.211 (0.212) Data 0.048 (0.048) Loss 2.4294 (2.2933) Prec@1 46.094 (47.512) Prec@5 67.969 (72.879)
Epoch: [74][2650/5005] Time 0.217 (0.212) Data 0.042 (0.048) Loss 2.4444 (2.2934) Prec@1 47.656 (47.511) Prec@5 69.531 (72.878)
Epoch: [74][2660/5005] Time 0.206 (0.212) Data 0.045 (0.048) Loss 2.3473 (2.2934) Prec@1 44.141 (47.511) Prec@5 72.266 (72.875)
Epoch: [74][2670/5005] Time 0.199 (0.212) Data 0.046 (0.048) Loss 1.9685 (2.2931) Prec@1 51.172 (47.513) Prec@5 75.391 (72.876)
Epoch: [74][2680/5005] Time 0.204 (0.212) Data 0.054 (0.048) Loss 2.1063 (2.2931) Prec@1 52.344 (47.513) Prec@5 77.734 (72.876)
Epoch: [74][2690/5005] Time 0.221 (0.212) Data 0.052 (0.048) Loss 2.2414 (2.2930) Prec@1 47.656 (47.517) Prec@5 75.000 (72.876)
Epoch: [74][2700/5005] Time 0.209 (0.212) Data 0.063 (0.048) Loss 2.1842 (2.2930) Prec@1 47.266 (47.512) Prec@5 76.953 (72.877)
Epoch: [74][2710/5005] Time 0.206 (0.212) Data 0.047 (0.048) Loss 2.2937 (2.2932) Prec@1 44.922 (47.508) Prec@5 73.047 (72.871)
Epoch: [74][2720/5005] Time 0.198 (0.212) Data 0.048 (0.048) Loss 2.0955 (2.2932) Prec@1 51.953 (47.510) Prec@5 75.000 (72.874)
Epoch: [74][2730/5005] Time 0.215 (0.212) Data 0.046 (0.048) Loss 2.3892 (2.2930) Prec@1 48.828 (47.514) Prec@5 71.484 (72.877)
Epoch: [74][2740/5005] Time 0.209 (0.212) Data 0.051 (0.048) Loss 2.2036 (2.2928) Prec@1 46.094 (47.517) Prec@5 72.266 (72.880)
Epoch: [74][2750/5005] Time 0.203 (0.212) Data 0.059 (0.048) Loss 2.3274 (2.2927) Prec@1 44.922 (47.525) Prec@5 70.312 (72.881)
Epoch: [74][2760/5005] Time 0.213 (0.212) Data 0.050 (0.048) Loss 2.4073 (2.2926) Prec@1 48.047 (47.530) Prec@5 69.922 (72.886)
Epoch: [74][2770/5005] Time 0.205 (0.212) Data 0.047 (0.048) Loss 2.1015 (2.2926) Prec@1 50.781 (47.530) Prec@5 75.391 (72.883)
Epoch: [74][2780/5005] Time 0.201 (0.212) Data 0.054 (0.048) Loss 2.4627 (2.2926) Prec@1 45.312 (47.535) Prec@5 72.266 (72.886)
Epoch: [74][2790/5005] Time 0.212 (0.212) Data 0.044 (0.048) Loss 2.5248 (2.2927) Prec@1 40.625 (47.534) Prec@5 70.703 (72.883)
Epoch: [74][2800/5005] Time 0.219 (0.212) Data 0.046 (0.048) Loss 2.0624 (2.2926) Prec@1 53.906 (47.539) Prec@5 75.391 (72.887)
Epoch: [74][2810/5005] Time 0.211 (0.212) Data 0.046 (0.048) Loss 2.4223 (2.2927) Prec@1 48.047 (47.537) Prec@5 69.141 (72.885)
Epoch: [74][2820/5005] Time 0.205 (0.212) Data 0.055 (0.048) Loss 2.0262 (2.2925) Prec@1 48.828 (47.539) Prec@5 76.953 (72.887)
Epoch: [74][2830/5005] Time 0.207 (0.212) Data 0.051 (0.048) Loss 2.4227 (2.2927) Prec@1 45.312 (47.536) Prec@5 69.141 (72.883)
Epoch: [74][2840/5005] Time 0.202 (0.212) Data 0.048 (0.048) Loss 2.2887 (2.2926) Prec@1 46.875 (47.536) Prec@5 73.438 (72.887)
Epoch: [74][2850/5005] Time 0.203 (0.212) Data 0.046 (0.048) Loss 2.4544 (2.2926) Prec@1 48.047 (47.538) Prec@5 68.750 (72.887)
Epoch: [74][2860/5005] Time 0.206 (0.212) Data 0.046 (0.048) Loss 2.2985 (2.2927) Prec@1 45.312 (47.537) Prec@5 69.922 (72.884)
Epoch: [74][2870/5005] Time 0.212 (0.212) Data 0.042 (0.048) Loss 2.3464 (2.2925) Prec@1 45.703 (47.540) Prec@5 71.875 (72.887)
Epoch: [74][2880/5005] Time 0.207 (0.212) Data 0.054 (0.048) Loss 2.2646 (2.2925) Prec@1 46.875 (47.539) Prec@5 75.000 (72.888)
Epoch: [74][2890/5005] Time 0.211 (0.212) Data 0.045 (0.048) Loss 2.3469 (2.2924) Prec@1 42.188 (47.545) Prec@5 73.828 (72.891)
Epoch: [74][2900/5005] Time 0.204 (0.212) Data 0.054 (0.048) Loss 2.0078 (2.2921) Prec@1 51.562 (47.552) Prec@5 77.734 (72.897)
Epoch: [74][2910/5005] Time 0.211 (0.212) Data 0.048 (0.048) Loss 2.1893 (2.2922) Prec@1 49.609 (47.554) Prec@5 73.438 (72.897)
Epoch: [74][2920/5005] Time 0.208 (0.212) Data 0.048 (0.048) Loss 2.4090 (2.2922) Prec@1 44.531 (47.548) Prec@5 68.750 (72.894)
Epoch: [74][2930/5005] Time 0.211 (0.212) Data 0.041 (0.048) Loss 2.4615 (2.2923) Prec@1 44.141 (47.548) Prec@5 68.750 (72.891)
Epoch: [74][2940/5005] Time 0.201 (0.212) Data 0.045 (0.048) Loss 2.3467 (2.2922) Prec@1 46.875 (47.550) Prec@5 70.703 (72.892)
Epoch: [74][2950/5005] Time 0.197 (0.212) Data 0.047 (0.048) Loss 2.4213 (2.2920) Prec@1 44.141 (47.551) Prec@5 73.828 (72.895)
Epoch: [74][2960/5005] Time 0.208 (0.212) Data 0.055 (0.048) Loss 2.2800 (2.2918) Prec@1 47.656 (47.553) Prec@5 72.266 (72.897)
Epoch: [74][2970/5005] Time 0.208 (0.212) Data 0.044 (0.048) Loss 2.3019 (2.2916) Prec@1 45.312 (47.553) Prec@5 73.438 (72.901)
Epoch: [74][2980/5005] Time 0.204 (0.212) Data 0.047 (0.048) Loss 2.3558 (2.2917) Prec@1 44.531 (47.550) Prec@5 73.438 (72.902)
Epoch: [74][2990/5005] Time 0.202 (0.212) Data 0.054 (0.048) Loss 2.3551 (2.2918) Prec@1 46.484 (47.544) Prec@5 70.312 (72.902)
Epoch: [74][3000/5005] Time 0.207 (0.212) Data 0.047 (0.048) Loss 2.1530 (2.2915) Prec@1 50.391 (47.549) Prec@5 75.391 (72.905)
Epoch: [74][3010/5005] Time 0.204 (0.212) Data 0.041 (0.048) Loss 2.3157 (2.2916) Prec@1 47.266 (47.548) Prec@5 72.656 (72.904)
Epoch: [74][3020/5005] Time 0.211 (0.212) Data 0.042 (0.048) Loss 2.2493 (2.2918) Prec@1 45.703 (47.543) Prec@5 75.391 (72.902)
Epoch: [74][3030/5005] Time 0.210 (0.212) Data 0.050 (0.048) Loss 2.2101 (2.2918) Prec@1 50.391 (47.543) Prec@5 74.219 (72.899)
Epoch: [74][3040/5005] Time 0.212 (0.211) Data 0.045 (0.048) Loss 2.0866 (2.2916) Prec@1 51.172 (47.549) Prec@5 76.172 (72.901)
Epoch: [74][3050/5005] Time 0.206 (0.211) Data 0.062 (0.048) Loss 2.1972 (2.2917) Prec@1 46.484 (47.544) Prec@5 76.562 (72.899)
Epoch: [74][3060/5005] Time 0.210 (0.211) Data 0.043 (0.048) Loss 2.2047 (2.2916) Prec@1 51.172 (47.542) Prec@5 73.438 (72.898)
Epoch: [74][3070/5005] Time 0.212 (0.211) Data 0.042 (0.048) Loss 2.1987 (2.2916) Prec@1 45.312 (47.543) Prec@5 72.266 (72.895)
Epoch: [74][3080/5005] Time 0.205 (0.211) Data 0.044 (0.048) Loss 2.1903 (2.2916) Prec@1 46.484 (47.539) Prec@5 73.438 (72.894)
Epoch: [74][3090/5005] Time 0.208 (0.211) Data 0.043 (0.048) Loss 2.6658 (2.2916) Prec@1 39.062 (47.536) Prec@5 66.406 (72.897)
Epoch: [74][3100/5005] Time 0.208 (0.211) Data 0.042 (0.048) Loss 2.4056 (2.2916) Prec@1 43.359 (47.532) Prec@5 69.922 (72.897)
Epoch: [74][3110/5005] Time 0.200 (0.211) Data 0.050 (0.048) Loss 2.1345 (2.2913) Prec@1 50.781 (47.535) Prec@5 77.734 (72.906)
Epoch: [74][3120/5005] Time 0.212 (0.211) Data 0.046 (0.048) Loss 2.3968 (2.2913) Prec@1 46.094 (47.534) Prec@5 72.266 (72.908)
Epoch: [74][3130/5005] Time 0.213 (0.211) Data 0.043 (0.048) Loss 2.3287 (2.2911) Prec@1 43.750 (47.539) Prec@5 73.438 (72.909)
Epoch: [74][3140/5005] Time 0.206 (0.211) Data 0.042 (0.048) Loss 2.0426 (2.2909) Prec@1 55.859 (47.543) Prec@5 75.391 (72.911)
Epoch: [74][3150/5005] Time 0.203 (0.211) Data 0.041 (0.048) Loss 2.1930 (2.2909) Prec@1 48.438 (47.544) Prec@5 73.828 (72.911)
Epoch: [74][3160/5005] Time 0.208 (0.211) Data 0.042 (0.048) Loss 2.1952 (2.2909) Prec@1 50.000 (47.546) Prec@5 74.219 (72.915)
Epoch: [74][3170/5005] Time 0.207 (0.211) Data 0.045 (0.048) Loss 2.2509 (2.2910) Prec@1 49.219 (47.543) Prec@5 75.391 (72.911)
Epoch: [74][3180/5005] Time 0.207 (0.211) Data 0.057 (0.048) Loss 2.0758 (2.2909) Prec@1 53.516 (47.543) Prec@5 75.391 (72.911)
Epoch: [74][3190/5005] Time 0.207 (0.211) Data 0.045 (0.048) Loss 2.3180 (2.2910) Prec@1 47.266 (47.540) Prec@5 71.875 (72.911)
Epoch: [74][3200/5005] Time 0.212 (0.211) Data 0.055 (0.048) Loss 2.3550 (2.2911) Prec@1 46.875 (47.545) Prec@5 73.438 (72.911)
Epoch: [74][3210/5005] Time 0.204 (0.211) Data 0.059 (0.048) Loss 2.4230 (2.2911) Prec@1 46.875 (47.544) Prec@5 67.578 (72.907)
Epoch: [74][3220/5005] Time 0.196 (0.211) Data 0.058 (0.048) Loss 2.2588 (2.2911) Prec@1 50.391 (47.550) Prec@5 76.953 (72.907)
Epoch: [74][3230/5005] Time 0.210 (0.211) Data 0.044 (0.048) Loss 2.2129 (2.2910) Prec@1 51.953 (47.555) Prec@5 71.875 (72.907)
Epoch: [74][3240/5005] Time 0.205 (0.211) Data 0.044 (0.048) Loss 2.5079 (2.2913) Prec@1 40.625 (47.550) Prec@5 68.359 (72.902)
Epoch: [74][3250/5005] Time 0.212 (0.211) Data 0.043 (0.048) Loss 2.2613 (2.2915) Prec@1 47.266 (47.545) Prec@5 74.219 (72.902)
Epoch: [74][3260/5005] Time 0.203 (0.211) Data 0.044 (0.048) Loss 2.2383 (2.2915) Prec@1 47.656 (47.545) Prec@5 73.438 (72.900)
Epoch: [74][3270/5005] Time 0.214 (0.211) Data 0.041 (0.048) Loss 2.3587 (2.2914) Prec@1 49.219 (47.548) Prec@5 69.922 (72.903)
Epoch: [74][3280/5005] Time 0.213 (0.211) Data 0.043 (0.048) Loss 2.2346 (2.2915) Prec@1 47.266 (47.543) Prec@5 75.000 (72.903)
Epoch: [74][3290/5005] Time 0.204 (0.211) Data 0.042 (0.048) Loss 2.2996 (2.2913) Prec@1 49.609 (47.547) Prec@5 71.484 (72.904)
Epoch: [74][3300/5005] Time 0.216 (0.211) Data 0.044 (0.048) Loss 2.2297 (2.2912) Prec@1 43.750 (47.547) Prec@5 73.047 (72.904)
Epoch: [74][3310/5005] Time 0.206 (0.211) Data 0.043 (0.048) Loss 2.1549 (2.2912) Prec@1 48.828 (47.547) Prec@5 73.828 (72.901)
Epoch: [74][3320/5005] Time 0.205 (0.211) Data 0.044 (0.048) Loss 2.3753 (2.2912) Prec@1 46.094 (47.547) Prec@5 72.656 (72.901)
Epoch: [74][3330/5005] Time 0.203 (0.211) Data 0.051 (0.048) Loss 2.3515 (2.2912) Prec@1 46.094 (47.546) Prec@5 73.438 (72.905)
Epoch: [74][3340/5005] Time 0.210 (0.211) Data 0.048 (0.048) Loss 2.3810 (2.2913) Prec@1 44.922 (47.546) Prec@5 72.656 (72.903)
Epoch: [74][3350/5005] Time 0.203 (0.211) Data 0.042 (0.048) Loss 2.2909 (2.2912) Prec@1 51.953 (47.548) Prec@5 71.094 (72.905)
Epoch: [74][3360/5005] Time 0.205 (0.211) Data 0.045 (0.048) Loss 2.1916 (2.2912) Prec@1 48.828 (47.551) Prec@5 74.219 (72.906)
Epoch: [74][3370/5005] Time 0.206 (0.211) Data 0.042 (0.048) Loss 2.4960 (2.2915) Prec@1 44.531 (47.548) Prec@5 70.703 (72.902)
Epoch: [74][3380/5005] Time 0.207 (0.211) Data 0.042 (0.048) Loss 2.2735 (2.2913) Prec@1 52.344 (47.551) Prec@5 71.094 (72.902)
Epoch: [74][3390/5005] Time 0.207 (0.211) Data 0.043 (0.048) Loss 2.1332 (2.2915) Prec@1 51.562 (47.552) Prec@5 73.047 (72.898)
Epoch: [74][3400/5005] Time 0.209 (0.211) Data 0.047 (0.048) Loss 2.1894 (2.2915) Prec@1 50.000 (47.552) Prec@5 74.219 (72.899)
Epoch: [74][3410/5005] Time 0.205 (0.211) Data 0.041 (0.048) Loss 2.1901 (2.2913) Prec@1 48.438 (47.556) Prec@5 74.609 (72.901)
Epoch: [74][3420/5005] Time 0.211 (0.211) Data 0.048 (0.048) Loss 2.1991 (2.2912) Prec@1 49.609 (47.554) Prec@5 73.828 (72.903)
Epoch: [74][3430/5005] Time 0.209 (0.211) Data 0.052 (0.048) Loss 2.2347 (2.2912) Prec@1 45.703 (47.555) Prec@5 73.438 (72.907)
Epoch: [74][3440/5005] Time 0.213 (0.211) Data 0.044 (0.048) Loss 2.2430 (2.2909) Prec@1 46.875 (47.559) Prec@5 71.875 (72.910)
Epoch: [74][3450/5005] Time 0.199 (0.211) Data 0.043 (0.048) Loss 2.0963 (2.2908) Prec@1 49.609 (47.563) Prec@5 77.734 (72.914)
Epoch: [74][3460/5005] Time 0.209 (0.211) Data 0.043 (0.048) Loss 2.2651 (2.2908) Prec@1 46.875 (47.560) Prec@5 75.000 (72.914)
Epoch: [74][3470/5005] Time 0.199 (0.211) Data 0.045 (0.048) Loss 2.0475 (2.2907) Prec@1 51.562 (47.564) Prec@5 75.781 (72.914)
Epoch: [74][3480/5005] Time 0.213 (0.211) Data 0.045 (0.048) Loss 2.2525 (2.2904) Prec@1 47.266 (47.567) Prec@5 73.828 (72.920)
Epoch: [74][3490/5005] Time 0.209 (0.211) Data 0.043 (0.048) Loss 2.4168 (2.2904) Prec@1 38.281 (47.562) Prec@5 71.484 (72.920)
Epoch: [74][3500/5005] Time 0.194 (0.211) Data 0.045 (0.048) Loss 2.1507 (2.2904) Prec@1 50.391 (47.559) Prec@5 78.125 (72.923)
Epoch: [74][3510/5005] Time 0.208 (0.211) Data 0.045 (0.048) Loss 2.2006 (2.2903) Prec@1 46.094 (47.563) Prec@5 74.609 (72.923)
Epoch: [74][3520/5005] Time 0.206 (0.211) Data 0.047 (0.048) Loss 2.4523 (2.2903) Prec@1 48.828 (47.566) Prec@5 72.266 (72.924)
Epoch: [74][3530/5005] Time 0.201 (0.211) Data 0.048 (0.048) Loss 2.2838 (2.2901) Prec@1 49.609 (47.573) Prec@5 75.781 (72.927)
Epoch: [74][3540/5005] Time 0.206 (0.211) Data 0.057 (0.048) Loss 2.2465 (2.2899) Prec@1 47.266 (47.576) Prec@5 74.609 (72.928)
Epoch: [74][3550/5005] Time 0.212 (0.211) Data 0.041 (0.048) Loss 2.3513 (2.2898) Prec@1 48.438 (47.577) Prec@5 70.312 (72.928)
Epoch: [74][3560/5005] Time 0.217 (0.211) Data 0.043 (0.048) Loss 2.3518 (2.2897) Prec@1 49.609 (47.579) Prec@5 71.875 (72.928)
Epoch: [74][3570/5005] Time 0.212 (0.211) Data 0.043 (0.048) Loss 2.4123 (2.2898) Prec@1 49.219 (47.579) Prec@5 73.438 (72.927)
Epoch: [74][3580/5005] Time 0.198 (0.211) Data 0.054 (0.048) Loss 2.2570 (2.2899) Prec@1 49.609 (47.577) Prec@5 69.531 (72.925)
Epoch: [74][3590/5005] Time 0.208 (0.211) Data 0.043 (0.048) Loss 2.3294 (2.2897) Prec@1 47.266 (47.584) Prec@5 74.609 (72.930)
Epoch: [74][3600/5005] Time 0.203 (0.211) Data 0.045 (0.048) Loss 2.3118 (2.2894) Prec@1 48.828 (47.589) Prec@5 72.266 (72.936)
Epoch: [74][3610/5005] Time 0.213 (0.211) Data 0.043 (0.048) Loss 2.1437 (2.2894) Prec@1 51.953 (47.589) Prec@5 75.781 (72.937)
Epoch: [74][3620/5005] Time 0.211 (0.211) Data 0.047 (0.048) Loss 2.4106 (2.2891) Prec@1 43.750 (47.596) Prec@5 68.750 (72.944)
Epoch: [74][3630/5005] Time 0.206 (0.211) Data 0.044 (0.048) Loss 2.5420 (2.2891) Prec@1 44.531 (47.594) Prec@5 69.922 (72.942)
Epoch: [74][3640/5005] Time 0.201 (0.211) Data 0.050 (0.048) Loss 2.2340 (2.2891) Prec@1 43.359 (47.589) Prec@5 73.828 (72.942)
Epoch: [74][3650/5005] Time 0.210 (0.211) Data 0.044 (0.048) Loss 2.2563 (2.2892) Prec@1 45.312 (47.584) Prec@5 73.047 (72.938)
Epoch: [74][3660/5005] Time 0.202 (0.211) Data 0.045 (0.048) Loss 2.4373 (2.2891) Prec@1 44.922 (47.584) Prec@5 70.703 (72.940)
Epoch: [74][3670/5005] Time 0.203 (0.211) Data 0.040 (0.048) Loss 2.2890 (2.2891) Prec@1 47.266 (47.582) Prec@5 71.875 (72.939)
Epoch: [74][3680/5005] Time 0.205 (0.211) Data 0.041 (0.048) Loss 2.1402 (2.2891) Prec@1 48.828 (47.584) Prec@5 75.000 (72.937)
Epoch: [74][3690/5005] Time 0.208 (0.211) Data 0.041 (0.048) Loss 2.1516 (2.2892) Prec@1 48.438 (47.581) Prec@5 74.609 (72.937)
Epoch: [74][3700/5005] Time 0.205 (0.211) Data 0.042 (0.048) Loss 2.2996 (2.2893) Prec@1 51.172 (47.579) Prec@5 73.047 (72.935)
Epoch: [74][3710/5005] Time 0.211 (0.211) Data 0.042 (0.048) Loss 2.2563 (2.2893) Prec@1 48.828 (47.579) Prec@5 73.828 (72.937)
Epoch: [74][3720/5005] Time 0.212 (0.211) Data 0.042 (0.048) Loss 2.4128 (2.2893) Prec@1 49.219 (47.582) Prec@5 72.266 (72.938)
Epoch: [74][3730/5005] Time 0.210 (0.211) Data 0.042 (0.048) Loss 2.1662 (2.2892) Prec@1 49.609 (47.580) Prec@5 73.047 (72.940)
Epoch: [74][3740/5005] Time 0.217 (0.211) Data 0.041 (0.048) Loss 2.2566 (2.2889) Prec@1 51.953 (47.586) Prec@5 73.438 (72.943)
Epoch: [74][3750/5005] Time 0.208 (0.211) Data 0.044 (0.048) Loss 2.0261 (2.2890) Prec@1 51.953 (47.582) Prec@5 77.734 (72.942)
Epoch: [74][3760/5005] Time 0.203 (0.211) Data 0.044 (0.048) Loss 2.3785 (2.2891) Prec@1 45.703 (47.580) Prec@5 71.875 (72.940)
Epoch: [74][3770/5005] Time 0.211 (0.211) Data 0.056 (0.048) Loss 2.4533 (2.2890) Prec@1 43.750 (47.580) Prec@5 68.750 (72.940)
Epoch: [74][3780/5005] Time 0.213 (0.211) Data 0.041 (0.048) Loss 2.2692 (2.2890) Prec@1 47.266 (47.580) Prec@5 72.266 (72.939)
Epoch: [74][3790/5005] Time 0.221 (0.211) Data 0.042 (0.048) Loss 2.3785 (2.2891) Prec@1 48.047 (47.578) Prec@5 71.484 (72.938)
Epoch: [74][3800/5005] Time 0.205 (0.211) Data 0.046 (0.048) Loss 2.2917 (2.2893) Prec@1 45.703 (47.573) Prec@5 73.047 (72.936)
Epoch: [74][3810/5005] Time 0.214 (0.211) Data 0.044 (0.048) Loss 2.1851 (2.2893) Prec@1 47.656 (47.570) Prec@5 74.609 (72.934)
Epoch: [74][3820/5005] Time 0.207 (0.211) Data 0.043 (0.048) Loss 2.2223 (2.2891) Prec@1 46.094 (47.574) Prec@5 77.344 (72.941)
Epoch: [74][3830/5005] Time 0.204 (0.211) Data 0.044 (0.048) Loss 2.2617 (2.2888) Prec@1 45.312 (47.577) Prec@5 73.438 (72.947)
Epoch: [74][3840/5005] Time 0.193 (0.211) Data 0.045 (0.048) Loss 2.3668 (2.2889) Prec@1 46.094 (47.578) Prec@5 70.312 (72.943)
Epoch: [74][3850/5005] Time 0.202 (0.211) Data 0.047 (0.048) Loss 2.4638 (2.2889) Prec@1 42.578 (47.578) Prec@5 69.922 (72.946)
Epoch: [74][3860/5005] Time 0.209 (0.211) Data 0.047 (0.048) Loss 2.2086 (2.2889) Prec@1 46.484 (47.578) Prec@5 73.047 (72.946)
Epoch: [74][3870/5005] Time 0.212 (0.211) Data 0.045 (0.048) Loss 2.1501 (2.2889) Prec@1 50.781 (47.577) Prec@5 76.172 (72.945)
Epoch: [74][3880/5005] Time 0.198 (0.211) Data 0.045 (0.048) Loss 2.2929 (2.2889) Prec@1 46.875 (47.579) Prec@5 71.875 (72.946)
Epoch: [74][3890/5005] Time 0.203 (0.211) Data 0.044 (0.048) Loss 2.5845 (2.2888) Prec@1 44.531 (47.582) Prec@5 67.188 (72.949)
Epoch: [74][3900/5005] Time 0.205 (0.211) Data 0.045 (0.048) Loss 2.4871 (2.2889) Prec@1 41.797 (47.579) Prec@5 67.188 (72.945)
Epoch: [74][3910/5005] Time 0.200 (0.211) Data 0.049 (0.048) Loss 2.2947 (2.2888) Prec@1 46.875 (47.581) Prec@5 71.094 (72.944)
Epoch: [74][3920/5005] Time 0.205 (0.211) Data 0.046 (0.048) Loss 2.2412 (2.2889) Prec@1 48.828 (47.580) Prec@5 71.094 (72.941)
Epoch: [74][3930/5005] Time 0.215 (0.211) Data 0.042 (0.048) Loss 2.1634 (2.2887) Prec@1 50.781 (47.580) Prec@5 71.484 (72.942)
Epoch: [74][3940/5005] Time 0.207 (0.211) Data 0.038 (0.048) Loss 2.1935 (2.2887) Prec@1 50.781 (47.581) Prec@5 73.828 (72.943)
Epoch: [74][3950/5005] Time 0.195 (0.211) Data 0.045 (0.048) Loss 2.1919 (2.2886) Prec@1 50.391 (47.583) Prec@5 76.172 (72.948)
Epoch: [74][3960/5005] Time 0.206 (0.211) Data 0.040 (0.048) Loss 2.3536 (2.2887) Prec@1 45.312 (47.581) Prec@5 72.656 (72.946)
Epoch: [74][3970/5005] Time 0.211 (0.211) Data 0.042 (0.048) Loss 2.2900 (2.2886) Prec@1 52.344 (47.582) Prec@5 72.656 (72.945)
Epoch: [74][3980/5005] Time 0.206 (0.211) Data 0.043 (0.048) Loss 2.1351 (2.2886) Prec@1 48.828 (47.581) Prec@5 75.781 (72.946)
Epoch: [74][3990/5005] Time 0.207 (0.211) Data 0.043 (0.048) Loss 2.4503 (2.2887) Prec@1 43.750 (47.580) Prec@5 71.484 (72.944)
Epoch: [74][4000/5005] Time 0.211 (0.211) Data 0.047 (0.048) Loss 2.2087 (2.2887) Prec@1 47.656 (47.582) Prec@5 72.656 (72.944)
Epoch: [74][4010/5005] Time 0.207 (0.211) Data 0.041 (0.048) Loss 2.3256 (2.2886) Prec@1 45.703 (47.583) Prec@5 71.875 (72.948)
Epoch: [74][4020/5005] Time 0.216 (0.211) Data 0.043 (0.048) Loss 2.4871 (2.2886) Prec@1 42.578 (47.582) Prec@5 69.922 (72.945)
Epoch: [74][4030/5005] Time 0.217 (0.211) Data 0.041 (0.047) Loss 2.5024 (2.2888) Prec@1 44.922 (47.580) Prec@5 69.531 (72.941)
Epoch: [74][4040/5005] Time 0.208 (0.211) Data 0.040 (0.047) Loss 2.4199 (2.2888) Prec@1 43.750 (47.578) Prec@5 67.188 (72.939)
Epoch: [74][4050/5005] Time 0.215 (0.211) Data 0.044 (0.047) Loss 2.5875 (2.2888) Prec@1 38.281 (47.578) Prec@5 67.969 (72.940)
Epoch: [74][4060/5005] Time 0.212 (0.211) Data 0.043 (0.047) Loss 2.3104 (2.2888) Prec@1 47.656 (47.578) Prec@5 71.875 (72.940)
Epoch: [74][4070/5005] Time 0.205 (0.211) Data 0.043 (0.047) Loss 2.4984 (2.2889) Prec@1 43.750 (47.576) Prec@5 70.312 (72.940)
Epoch: [74][4080/5005] Time 0.207 (0.211) Data 0.043 (0.047) Loss 2.1902 (2.2889) Prec@1 49.609 (47.577) Prec@5 76.953 (72.941)
Epoch: [74][4090/5005] Time 0.203 (0.211) Data 0.042 (0.047) Loss 2.2817 (2.2888) Prec@1 45.703 (47.578) Prec@5 75.000 (72.941)
Epoch: [74][4100/5005] Time 0.212 (0.211) Data 0.046 (0.047) Loss 2.2325 (2.2887) Prec@1 46.094 (47.580) Prec@5 71.094 (72.942)
Epoch: [74][4110/5005] Time 0.202 (0.211) Data 0.049 (0.047) Loss 2.5641 (2.2887) Prec@1 41.797 (47.576) Prec@5 70.312 (72.940)
Epoch: [74][4120/5005] Time 0.201 (0.211) Data 0.047 (0.047) Loss 2.3075 (2.2886) Prec@1 49.219 (47.580) Prec@5 72.266 (72.943)
Epoch: [74][4130/5005] Time 0.216 (0.211) Data 0.042 (0.047) Loss 2.3398 (2.2885) Prec@1 42.188 (47.582) Prec@5 71.875 (72.945)
Epoch: [74][4140/5005] Time 0.206 (0.211) Data 0.051 (0.047) Loss 2.2893 (2.2885) Prec@1 46.875 (47.581) Prec@5 71.875 (72.943)
Epoch: [74][4150/5005] Time 0.219 (0.211) Data 0.044 (0.047) Loss 2.4897 (2.2886) Prec@1 46.094 (47.579) Prec@5 71.875 (72.942)
Epoch: [74][4160/5005] Time 0.207 (0.211) Data 0.052 (0.047) Loss 2.1756 (2.2887) Prec@1 54.297 (47.578) Prec@5 75.000 (72.942)
Epoch: [74][4170/5005] Time 0.205 (0.211) Data 0.049 (0.047) Loss 2.2168 (2.2886) Prec@1 48.828 (47.580) Prec@5 75.781 (72.945)
Epoch: [74][4180/5005] Time 0.209 (0.211) Data 0.043 (0.047) Loss 2.1351 (2.2885) Prec@1 49.609 (47.584) Prec@5 75.000 (72.946)
Epoch: [74][4190/5005] Time 0.211 (0.211) Data 0.044 (0.047) Loss 2.1241 (2.2885) Prec@1 50.781 (47.585) Prec@5 77.344 (72.946)
Epoch: [74][4200/5005] Time 0.208 (0.211) Data 0.047 (0.047) Loss 2.1974 (2.2885) Prec@1 47.656 (47.587) Prec@5 75.781 (72.946)
Epoch: [74][4210/5005] Time 0.210 (0.211) Data 0.050 (0.047) Loss 2.2316 (2.2885) Prec@1 46.484 (47.589) Prec@5 71.484 (72.946)
Epoch: [74][4220/5005] Time 0.213 (0.211) Data 0.063 (0.047) Loss 2.4380 (2.2886) Prec@1 44.531 (47.585) Prec@5 69.531 (72.944)
Epoch: [74][4230/5005] Time 0.199 (0.211) Data 0.046 (0.047) Loss 2.3886 (2.2887) Prec@1 46.094 (47.586) Prec@5 73.438 (72.944)
Epoch: [74][4240/5005] Time 0.207 (0.211) Data 0.051 (0.047) Loss 2.1942 (2.2887) Prec@1 48.047 (47.585) Prec@5 73.047 (72.944)
Epoch: [74][4250/5005] Time 0.207 (0.211) Data 0.041 (0.047) Loss 2.1395 (2.2885) Prec@1 52.344 (47.586) Prec@5 76.562 (72.947)
Epoch: [74][4260/5005] Time 0.211 (0.211) Data 0.043 (0.047) Loss 2.2520 (2.2885) Prec@1 47.656 (47.586) Prec@5 73.047 (72.946)
Epoch: [74][4270/5005] Time 0.209 (0.211) Data 0.043 (0.047) Loss 2.4903 (2.2886) Prec@1 44.922 (47.585) Prec@5 72.656 (72.945)
Epoch: [74][4280/5005] Time 0.210 (0.211) Data 0.043 (0.047) Loss 2.2964 (2.2886) Prec@1 48.828 (47.587) Prec@5 73.047 (72.946)
Epoch: [74][4290/5005] Time 0.206 (0.211) Data 0.044 (0.047) Loss 2.4636 (2.2887) Prec@1 45.312 (47.586) Prec@5 67.969 (72.943)
Epoch: [74][4300/5005] Time 0.206 (0.211) Data 0.048 (0.047) Loss 2.2398 (2.2885) Prec@1 46.875 (47.589) Prec@5 75.000 (72.946)
Epoch: [74][4310/5005] Time 0.196 (0.211) Data 0.042 (0.047) Loss 2.1781 (2.2885) Prec@1 47.266 (47.589) Prec@5 73.828 (72.947)
Epoch: [74][4320/5005] Time 0.197 (0.210) Data 0.046 (0.047) Loss 2.1944 (2.2885) Prec@1 48.047 (47.590) Prec@5 76.172 (72.948)
Epoch: [74][4330/5005] Time 0.210 (0.210) Data 0.043 (0.047) Loss 2.1330 (2.2884) Prec@1 44.922 (47.591) Prec@5 73.047 (72.947)
Epoch: [74][4340/5005] Time 0.217 (0.210) Data 0.050 (0.047) Loss 2.3988 (2.2885) Prec@1 42.969 (47.589) Prec@5 69.922 (72.945)
Epoch: [74][4350/5005] Time 0.202 (0.210) Data 0.048 (0.047) Loss 2.3913 (2.2885) Prec@1 45.703 (47.590) Prec@5 70.703 (72.945)
Epoch: [74][4360/5005] Time 0.199 (0.210) Data 0.043 (0.047) Loss 2.1506 (2.2883) Prec@1 47.266 (47.591) Prec@5 73.828 (72.948)
Epoch: [74][4370/5005] Time 0.207 (0.210) Data 0.057 (0.047) Loss 2.2750 (2.2883) Prec@1 48.047 (47.592) Prec@5 72.266 (72.949)
Epoch: [74][4380/5005] Time 0.212 (0.210) Data 0.042 (0.047) Loss 2.3402 (2.2883) Prec@1 45.312 (47.589) Prec@5 71.875 (72.950)
Epoch: [74][4390/5005] Time 0.193 (0.210) Data 0.047 (0.047) Loss 2.2989 (2.2882) Prec@1 47.656 (47.594) Prec@5 72.656 (72.950)
Epoch: [74][4400/5005] Time 0.194 (0.210) Data 0.058 (0.047) Loss 2.1119 (2.2881) Prec@1 48.047 (47.596) Prec@5 75.000 (72.950)
Epoch: [74][4410/5005] Time 0.196 (0.210) Data 0.049 (0.048) Loss 2.0438 (2.2880) Prec@1 50.391 (47.596) Prec@5 76.953 (72.952)
Epoch: [74][4420/5005] Time 0.211 (0.210) Data 0.041 (0.048) Loss 2.0090 (2.2880) Prec@1 51.562 (47.594) Prec@5 77.344 (72.952)
Epoch: [74][4430/5005] Time 0.208 (0.210) Data 0.052 (0.048) Loss 2.2998 (2.2878) Prec@1 47.266 (47.598) Prec@5 72.656 (72.955)
Epoch: [74][4440/5005] Time 0.221 (0.210) Data 0.046 (0.048) Loss 2.3887 (2.2878) Prec@1 44.922 (47.598) Prec@5 71.094 (72.955)
Epoch: [74][4450/5005] Time 0.217 (0.210) Data 0.044 (0.048) Loss 2.2039 (2.2877) Prec@1 47.656 (47.600) Prec@5 75.000 (72.957)
Epoch: [74][4460/5005] Time 0.203 (0.210) Data 0.043 (0.048) Loss 2.4442 (2.2876) Prec@1 43.750 (47.602) Prec@5 72.266 (72.959)
Epoch: [74][4470/5005] Time 0.207 (0.210) Data 0.046 (0.048) Loss 2.2119 (2.2876) Prec@1 52.734 (47.601) Prec@5 73.438 (72.959)
Epoch: [74][4480/5005] Time 0.208 (0.210) Data 0.043 (0.048) Loss 2.1651 (2.2878) Prec@1 50.000 (47.601) Prec@5 71.875 (72.955)
Epoch: [74][4490/5005] Time 0.206 (0.210) Data 0.048 (0.048) Loss 2.2088 (2.2878) Prec@1 47.656 (47.600) Prec@5 74.609 (72.955)
Epoch: [74][4500/5005] Time 0.203 (0.210) Data 0.042 (0.047) Loss 2.2276 (2.2878) Prec@1 49.609 (47.600) Prec@5 75.391 (72.954)
Epoch: [74][4510/5005] Time 0.216 (0.210) Data 0.053 (0.047) Loss 2.0521 (2.2878) Prec@1 47.656 (47.599) Prec@5 77.344 (72.955)
Epoch: [74][4520/5005] Time 0.209 (0.210) Data 0.045 (0.047) Loss 2.0991 (2.2876) Prec@1 50.781 (47.602) Prec@5 78.516 (72.957)
Epoch: [74][4530/5005] Time 0.213 (0.210) Data 0.047 (0.047) Loss 2.1910 (2.2876) Prec@1 48.047 (47.602) Prec@5 75.391 (72.956)
Epoch: [74][4540/5005] Time 0.218 (0.210) Data 0.043 (0.047) Loss 2.3762 (2.2878) Prec@1 44.141 (47.595) Prec@5 73.438 (72.954)
Epoch: [74][4550/5005] Time 0.198 (0.210) Data 0.046 (0.047) Loss 2.1616 (2.2877) Prec@1 48.438 (47.597) Prec@5 76.562 (72.957)
Epoch: [74][4560/5005] Time 0.206 (0.210) Data 0.045 (0.047) Loss 2.3107 (2.2877) Prec@1 47.266 (47.599) Prec@5 73.828 (72.956)
Epoch: [74][4570/5005] Time 0.207 (0.210) Data 0.043 (0.047) Loss 2.3698 (2.2875) Prec@1 44.922 (47.603) Prec@5 71.875 (72.958)
Epoch: [74][4580/5005] Time 0.204 (0.210) Data 0.044 (0.047) Loss 2.3349 (2.2875) Prec@1 44.922 (47.602) Prec@5 73.047 (72.958)
Epoch: [74][4590/5005] Time 0.210 (0.210) Data 0.042 (0.047) Loss 2.1262 (2.2875) Prec@1 52.734 (47.604) Prec@5 75.391 (72.956)
Epoch: [74][4600/5005] Time 0.203 (0.210) Data 0.060 (0.047) Loss 2.0783 (2.2876) Prec@1 53.516 (47.604) Prec@5 76.953 (72.954)
Epoch: [74][4610/5005] Time 0.201 (0.210) Data 0.052 (0.047) Loss 2.1587 (2.2876) Prec@1 49.219 (47.601) Prec@5 76.562 (72.953)
Epoch: [74][4620/5005] Time 0.214 (0.210) Data 0.044 (0.048) Loss 2.1809 (2.2876) Prec@1 49.609 (47.602) Prec@5 74.609 (72.953)
Epoch: [74][4630/5005] Time 0.211 (0.210) Data 0.047 (0.048) Loss 2.0695 (2.2874) Prec@1 51.172 (47.605) Prec@5 76.172 (72.957)
Epoch: [74][4640/5005] Time 0.217 (0.210) Data 0.046 (0.048) Loss 2.3715 (2.2873) Prec@1 48.828 (47.606) Prec@5 70.312 (72.957)
Epoch: [74][4650/5005] Time 0.212 (0.210) Data 0.042 (0.047) Loss 2.4015 (2.2874) Prec@1 47.266 (47.605) Prec@5 67.578 (72.956)
Epoch: [74][4660/5005] Time 0.209 (0.210) Data 0.043 (0.047) Loss 2.4753 (2.2873) Prec@1 45.703 (47.607) Prec@5 69.922 (72.957)
Epoch: [74][4670/5005] Time 0.217 (0.210) Data 0.046 (0.047) Loss 2.1155 (2.2872) Prec@1 48.828 (47.610) Prec@5 75.781 (72.961)
Epoch: [74][4680/5005] Time 0.210 (0.210) Data 0.041 (0.047) Loss 2.1671 (2.2871) Prec@1 45.312 (47.609) Prec@5 77.344 (72.962)
Epoch: [74][4690/5005] Time 0.210 (0.210) Data 0.051 (0.047) Loss 2.3404 (2.2871) Prec@1 47.656 (47.609) Prec@5 73.828 (72.963)
Epoch: [74][4700/5005] Time 0.217 (0.210) Data 0.044 (0.047) Loss 2.1919 (2.2872) Prec@1 50.391 (47.610) Prec@5 73.828 (72.961)
Epoch: [74][4710/5005] Time 0.214 (0.210) Data 0.043 (0.047) Loss 2.1342 (2.2870) Prec@1 52.344 (47.617) Prec@5 76.172 (72.964)
Epoch: [74][4720/5005] Time 0.204 (0.210) Data 0.050 (0.047) Loss 2.1772 (2.2869) Prec@1 51.562 (47.616) Prec@5 73.828 (72.966)
Epoch: [74][4730/5005] Time 0.206 (0.210) Data 0.044 (0.047) Loss 2.0839 (2.2870) Prec@1 53.125 (47.612) Prec@5 76.562 (72.966)
Epoch: [74][4740/5005] Time 0.203 (0.210) Data 0.047 (0.047) Loss 2.0658 (2.2869) Prec@1 48.047 (47.617) Prec@5 77.344 (72.970)
Epoch: [74][4750/5005] Time 0.201 (0.210) Data 0.048 (0.047) Loss 2.2683 (2.2868) Prec@1 46.875 (47.619) Prec@5 71.094 (72.972)
Epoch: [74][4760/5005] Time 0.211 (0.210) Data 0.049 (0.047) Loss 2.4302 (2.2866) Prec@1 42.188 (47.622) Prec@5 73.828 (72.974)
Epoch: [74][4770/5005] Time 0.208 (0.210) Data 0.055 (0.047) Loss 2.2570 (2.2867) Prec@1 48.438 (47.621) Prec@5 72.266 (72.971)
Epoch: [74][4780/5005] Time 0.213 (0.210) Data 0.050 (0.047) Loss 2.3958 (2.2868) Prec@1 42.578 (47.623) Prec@5 73.047 (72.971)
Epoch: [74][4790/5005] Time 0.201 (0.210) Data 0.044 (0.048) Loss 2.5192 (2.2867) Prec@1 42.969 (47.627) Prec@5 69.531 (72.971)
Epoch: [74][4800/5005] Time 0.207 (0.210) Data 0.043 (0.048) Loss 2.4414 (2.2866) Prec@1 48.828 (47.630) Prec@5 71.094 (72.974)
Epoch: [74][4810/5005] Time 0.213 (0.210) Data 0.043 (0.047) Loss 2.5921 (2.2866) Prec@1 43.359 (47.630) Prec@5 64.453 (72.973)
Epoch: [74][4820/5005] Time 0.206 (0.210) Data 0.044 (0.047) Loss 2.5592 (2.2865) Prec@1 42.969 (47.630) Prec@5 65.234 (72.974)
Epoch: [74][4830/5005] Time 0.209 (0.210) Data 0.048 (0.047) Loss 2.3333 (2.2864) Prec@1 47.656 (47.635) Prec@5 70.703 (72.976)
Epoch: [74][4840/5005] Time 0.208 (0.210) Data 0.056 (0.048) Loss 2.0856 (2.2864) Prec@1 49.219 (47.633) Prec@5 76.172 (72.977)
Epoch: [74][4850/5005] Time 0.216 (0.210) Data 0.044 (0.048) Loss 2.4213 (2.2866) Prec@1 42.188 (47.630) Prec@5 71.094 (72.973)
Epoch: [74][4860/5005] Time 0.213 (0.210) Data 0.042 (0.048) Loss 2.3109 (2.2866) Prec@1 51.172 (47.628) Prec@5 72.656 (72.974)
Epoch: [74][4870/5005] Time 0.208 (0.210) Data 0.042 (0.048) Loss 2.2750 (2.2866) Prec@1 48.828 (47.628) Prec@5 71.094 (72.971)
Epoch: [74][4880/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.2227 (2.2866) Prec@1 51.562 (47.632) Prec@5 73.047 (72.972)
Epoch: [74][4890/5005] Time 0.209 (0.210) Data 0.041 (0.047) Loss 2.3420 (2.2865) Prec@1 47.656 (47.633) Prec@5 73.438 (72.974)
Epoch: [74][4900/5005] Time 0.208 (0.210) Data 0.049 (0.048) Loss 2.0953 (2.2864) Prec@1 46.094 (47.635) Prec@5 76.953 (72.975)
Epoch: [74][4910/5005] Time 0.207 (0.210) Data 0.053 (0.048) Loss 2.3277 (2.2862) Prec@1 44.922 (47.638) Prec@5 74.219 (72.978)
Epoch: [74][4920/5005] Time 0.201 (0.210) Data 0.045 (0.048) Loss 2.2929 (2.2862) Prec@1 43.359 (47.639) Prec@5 71.094 (72.978)
Epoch: [74][4930/5005] Time 0.211 (0.210) Data 0.045 (0.048) Loss 2.4251 (2.2862) Prec@1 46.484 (47.637) Prec@5 70.312 (72.980)
Epoch: [74][4940/5005] Time 0.199 (0.210) Data 0.045 (0.048) Loss 2.2548 (2.2863) Prec@1 46.484 (47.638) Prec@5 73.047 (72.978)
Epoch: [74][4950/5005] Time 0.202 (0.210) Data 0.045 (0.048) Loss 2.1033 (2.2863) Prec@1 50.391 (47.640) Prec@5 73.828 (72.978)
Epoch: [74][4960/5005] Time 0.205 (0.210) Data 0.043 (0.048) Loss 2.2555 (2.2862) Prec@1 51.562 (47.642) Prec@5 75.781 (72.981)
Epoch: [74][4970/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.3988 (2.2862) Prec@1 44.141 (47.643) Prec@5 70.312 (72.981)
Epoch: [74][4980/5005] Time 0.206 (0.210) Data 0.048 (0.048) Loss 2.1882 (2.2860) Prec@1 50.781 (47.646) Prec@5 76.562 (72.986)
Epoch: [74][4990/5005] Time 0.205 (0.210) Data 0.022 (0.048) Loss 2.3226 (2.2859) Prec@1 47.266 (47.649) Prec@5 69.922 (72.987)
Epoch: [74][5000/5005] Time 0.206 (0.210) Data 0.021 (0.047) Loss 2.4069 (2.2860) Prec@1 46.094 (47.650) Prec@5 72.266 (72.986)
Test: [0/196] Time 1.345 (1.345) Loss 2.4222 (2.4222) Prec@1 46.094 (46.094) Prec@5 71.094 (71.094)
Test: [10/196] Time 0.045 (0.288) Loss 2.4697 (2.5513) Prec@1 45.703 (43.999) Prec@5 72.266 (69.567)
Test: [20/196] Time 0.052 (0.222) Loss 2.4257 (2.5623) Prec@1 46.875 (43.508) Prec@5 74.219 (69.568)
Test: [30/196] Time 0.046 (0.210) Loss 2.4400 (2.5636) Prec@1 44.141 (43.296) Prec@5 71.094 (69.254)
Test: [40/196] Time 0.044 (0.194) Loss 2.3141 (2.5615) Prec@1 50.391 (43.721) Prec@5 72.656 (69.322)
Test: [50/196] Time 0.083 (0.192) Loss 2.6025 (2.5616) Prec@1 46.094 (43.681) Prec@5 71.484 (69.416)
Test: [60/196] Time 0.133 (0.191) Loss 2.4796 (2.5481) Prec@1 46.094 (43.961) Prec@5 71.484 (69.653)
Test: [70/196] Time 0.044 (0.187) Loss 2.5295 (2.5428) Prec@1 46.484 (44.009) Prec@5 68.750 (69.658)
Test: [80/196] Time 0.228 (0.189) Loss 2.3588 (2.5470) Prec@1 53.906 (44.030) Prec@5 76.562 (69.666)
Test: [90/196] Time 0.042 (0.188) Loss 2.6374 (2.5488) Prec@1 48.438 (44.136) Prec@5 67.578 (69.626)
Test: [100/196] Time 0.137 (0.186) Loss 2.5694 (2.5450) Prec@1 46.094 (44.357) Prec@5 67.969 (69.628)
Test: [110/196] Time 0.042 (0.182) Loss 2.7594 (2.5481) Prec@1 40.234 (44.380) Prec@5 65.234 (69.535)
Test: [120/196] Time 0.493 (0.183) Loss 2.3498 (2.5443) Prec@1 46.484 (44.444) Prec@5 75.000 (69.612)
Test: [130/196] Time 0.263 (0.181) Loss 2.2193 (2.5405) Prec@1 48.438 (44.466) Prec@5 76.172 (69.648)
Test: [140/196] Time 0.043 (0.180) Loss 2.3330 (2.5431) Prec@1 50.000 (44.348) Prec@5 70.703 (69.537)
Test: [150/196] Time 0.353 (0.180) Loss 2.1519 (2.5420) Prec@1 48.438 (44.327) Prec@5 76.953 (69.555)
Test: [160/196] Time 0.043 (0.180) Loss 2.5186 (2.5408) Prec@1 50.781 (44.374) Prec@5 71.094 (69.560)
Test: [170/196] Time 0.099 (0.179) Loss 2.4162 (2.5434) Prec@1 43.750 (44.328) Prec@5 72.656 (69.486)
Test: [180/196] Time 0.683 (0.181) Loss 2.7702 (2.5472) Prec@1 38.281 (44.236) Prec@5 65.234 (69.395)
Test: [190/196] Time 0.041 (0.179) Loss 2.7752 (2.5507) Prec@1 39.844 (44.190) Prec@5 64.844 (69.239)
* Prec@1 44.194 Prec@5 69.266
Learning rate: 1e-06
Epoch: [75][0/5005] Time 1.077 (1.077) Data 0.980 (0.980) Loss 2.1828 (2.1828) Prec@1 49.609 (49.609) Prec@5 78.516 (78.516)
Epoch: [75][10/5005] Time 0.206 (0.283) Data 0.043 (0.133) Loss 2.1974 (2.2787) Prec@1 54.297 (47.443) Prec@5 72.656 (73.260)
Epoch: [75][20/5005] Time 0.207 (0.245) Data 0.041 (0.092) Loss 2.4347 (2.3010) Prec@1 44.922 (46.987) Prec@5 73.828 (73.214)
Epoch: [75][30/5005] Time 0.200 (0.232) Data 0.047 (0.076) Loss 2.1597 (2.2783) Prec@1 50.391 (47.253) Prec@5 74.609 (73.425)
Epoch: [75][40/5005] Time 0.188 (0.225) Data 0.058 (0.069) Loss 2.3772 (2.2951) Prec@1 45.312 (46.970) Prec@5 71.094 (72.799)
Epoch: [75][50/5005] Time 0.204 (0.221) Data 0.041 (0.064) Loss 2.2317 (2.2950) Prec@1 46.484 (46.944) Prec@5 76.562 (72.756)
Epoch: [75][60/5005] Time 0.211 (0.218) Data 0.043 (0.061) Loss 2.2950 (2.2914) Prec@1 50.391 (47.150) Prec@5 71.875 (72.791)
Epoch: [75][70/5005] Time 0.221 (0.217) Data 0.042 (0.059) Loss 2.3132 (2.2999) Prec@1 47.266 (47.095) Prec@5 73.047 (72.656)
Epoch: [75][80/5005] Time 0.193 (0.214) Data 0.051 (0.058) Loss 2.1912 (2.2972) Prec@1 51.953 (47.198) Prec@5 73.828 (72.632)
Epoch: [75][90/5005] Time 0.194 (0.213) Data 0.053 (0.057) Loss 2.3510 (2.2949) Prec@1 49.219 (47.283) Prec@5 71.875 (72.622)
Epoch: [75][100/5005] Time 0.197 (0.212) Data 0.044 (0.056) Loss 2.0328 (2.2978) Prec@1 48.828 (47.300) Prec@5 80.078 (72.560)
Epoch: [75][110/5005] Time 0.207 (0.211) Data 0.043 (0.055) Loss 2.3514 (2.2979) Prec@1 48.828 (47.424) Prec@5 71.484 (72.582)
Epoch: [75][120/5005] Time 0.213 (0.210) Data 0.045 (0.054) Loss 2.3036 (2.3012) Prec@1 44.531 (47.417) Prec@5 70.703 (72.498)
Epoch: [75][130/5005] Time 0.198 (0.210) Data 0.047 (0.054) Loss 2.3879 (2.3009) Prec@1 47.266 (47.403) Prec@5 69.922 (72.525)
Epoch: [75][140/5005] Time 0.212 (0.209) Data 0.042 (0.053) Loss 2.3846 (2.2981) Prec@1 44.531 (47.432) Prec@5 70.312 (72.545)
Epoch: [75][150/5005] Time 0.210 (0.209) Data 0.043 (0.053) Loss 2.4174 (2.2980) Prec@1 41.797 (47.475) Prec@5 71.094 (72.597)
Epoch: [75][160/5005] Time 0.205 (0.209) Data 0.052 (0.053) Loss 2.3360 (2.3002) Prec@1 45.312 (47.380) Prec@5 73.438 (72.617)
Epoch: [75][170/5005] Time 0.212 (0.209) Data 0.039 (0.052) Loss 2.4079 (2.3005) Prec@1 46.875 (47.403) Prec@5 70.312 (72.613)
Epoch: [75][180/5005] Time 0.214 (0.210) Data 0.042 (0.052) Loss 2.4461 (2.3014) Prec@1 46.484 (47.326) Prec@5 70.703 (72.611)
Epoch: [75][190/5005] Time 0.221 (0.210) Data 0.042 (0.051) Loss 2.5493 (2.3069) Prec@1 44.922 (47.200) Prec@5 69.922 (72.546)
Epoch: [75][200/5005] Time 0.214 (0.211) Data 0.045 (0.051) Loss 2.4562 (2.3070) Prec@1 47.656 (47.198) Prec@5 68.359 (72.538)
Epoch: [75][210/5005] Time 0.225 (0.211) Data 0.044 (0.051) Loss 2.1128 (2.3054) Prec@1 50.781 (47.197) Prec@5 74.609 (72.564)
Epoch: [75][220/5005] Time 0.203 (0.212) Data 0.061 (0.051) Loss 2.3981 (2.3054) Prec@1 47.656 (47.197) Prec@5 73.438 (72.577)
Epoch: [75][230/5005] Time 0.217 (0.212) Data 0.063 (0.051) Loss 2.4634 (2.3042) Prec@1 48.828 (47.247) Prec@5 70.312 (72.609)
Epoch: [75][240/5005] Time 0.207 (0.212) Data 0.059 (0.051) Loss 2.2599 (2.3042) Prec@1 50.000 (47.219) Prec@5 75.000 (72.590)
Epoch: [75][250/5005] Time 0.226 (0.212) Data 0.047 (0.051) Loss 2.3743 (2.3039) Prec@1 46.875 (47.252) Prec@5 70.703 (72.631)
Epoch: [75][260/5005] Time 0.218 (0.212) Data 0.049 (0.051) Loss 2.2220 (2.3025) Prec@1 47.656 (47.294) Prec@5 69.531 (72.638)
Epoch: [75][270/5005] Time 0.214 (0.213) Data 0.052 (0.051) Loss 2.3738 (2.3014) Prec@1 44.531 (47.341) Prec@5 73.047 (72.658)
Epoch: [75][280/5005] Time 0.219 (0.213) Data 0.046 (0.051) Loss 2.6434 (2.3035) Prec@1 45.703 (47.324) Prec@5 67.188 (72.627)
Epoch: [75][290/5005] Time 0.217 (0.213) Data 0.056 (0.051) Loss 2.1211 (2.3046) Prec@1 50.781 (47.280) Prec@5 74.219 (72.588)
Epoch: [75][300/5005] Time 0.212 (0.213) Data 0.059 (0.051) Loss 2.0634 (2.3029) Prec@1 51.953 (47.297) Prec@5 76.562 (72.632)
Epoch: [75][310/5005] Time 0.214 (0.213) Data 0.043 (0.051) Loss 2.1326 (2.3014) Prec@1 49.219 (47.355) Prec@5 77.344 (72.679)
Epoch: [75][320/5005] Time 0.210 (0.213) Data 0.043 (0.051) Loss 2.4561 (2.3028) Prec@1 44.531 (47.347) Prec@5 70.312 (72.668)
Epoch: [75][330/5005] Time 0.213 (0.213) Data 0.063 (0.051) Loss 2.0989 (2.3003) Prec@1 50.781 (47.380) Prec@5 75.391 (72.706)
Epoch: [75][340/5005] Time 0.221 (0.214) Data 0.045 (0.051) Loss 2.4750 (2.3044) Prec@1 42.969 (47.313) Prec@5 69.531 (72.647)
Epoch: [75][350/5005] Time 0.220 (0.214) Data 0.048 (0.051) Loss 2.5557 (2.3034) Prec@1 43.359 (47.377) Prec@5 66.406 (72.656)
Epoch: [75][360/5005] Time 0.213 (0.214) Data 0.044 (0.051) Loss 2.4049 (2.3035) Prec@1 43.750 (47.374) Prec@5 71.094 (72.625)
Epoch: [75][370/5005] Time 0.208 (0.214) Data 0.051 (0.051) Loss 2.2591 (2.3009) Prec@1 44.922 (47.406) Prec@5 72.656 (72.675)
Epoch: [75][380/5005] Time 0.225 (0.214) Data 0.048 (0.051) Loss 2.4763 (2.3021) Prec@1 42.969 (47.367) Prec@5 67.188 (72.650)
Epoch: [75][390/5005] Time 0.211 (0.213) Data 0.046 (0.051) Loss 2.2290 (2.3024) Prec@1 51.953 (47.369) Prec@5 74.609 (72.652)
Epoch: [75][400/5005] Time 0.212 (0.213) Data 0.065 (0.051) Loss 2.1628 (2.3011) Prec@1 47.656 (47.381) Prec@5 73.438 (72.690)
Epoch: [75][410/5005] Time 0.223 (0.213) Data 0.047 (0.051) Loss 2.0813 (2.2999) Prec@1 50.781 (47.420) Prec@5 77.344 (72.739)
Epoch: [75][420/5005] Time 0.219 (0.213) Data 0.043 (0.051) Loss 2.3084 (2.2990) Prec@1 51.562 (47.455) Prec@5 73.828 (72.758)
Epoch: [75][430/5005] Time 0.214 (0.213) Data 0.048 (0.051) Loss 2.3080 (2.2987) Prec@1 49.609 (47.432) Prec@5 73.438 (72.773)
Epoch: [75][440/5005] Time 0.206 (0.213) Data 0.044 (0.051) Loss 2.2265 (2.2980) Prec@1 49.219 (47.418) Prec@5 73.828 (72.778)
Epoch: [75][450/5005] Time 0.216 (0.213) Data 0.050 (0.051) Loss 2.1504 (2.2989) Prec@1 47.656 (47.392) Prec@5 76.562 (72.765)
Epoch: [75][460/5005] Time 0.203 (0.213) Data 0.054 (0.051) Loss 2.3047 (2.2989) Prec@1 46.094 (47.383) Prec@5 73.047 (72.784)
Epoch: [75][470/5005] Time 0.212 (0.213) Data 0.047 (0.051) Loss 2.0691 (2.2998) Prec@1 53.516 (47.373) Prec@5 75.781 (72.732)
Epoch: [75][480/5005] Time 0.218 (0.214) Data 0.044 (0.051) Loss 2.2683 (2.2999) Prec@1 46.484 (47.392) Prec@5 71.094 (72.728)
Epoch: [75][490/5005] Time 0.221 (0.214) Data 0.042 (0.051) Loss 2.2768 (2.2997) Prec@1 50.781 (47.382) Prec@5 71.484 (72.740)
Epoch: [75][500/5005] Time 0.207 (0.213) Data 0.065 (0.051) Loss 2.3897 (2.3008) Prec@1 47.656 (47.376) Prec@5 68.359 (72.717)
Epoch: [75][510/5005] Time 0.214 (0.213) Data 0.052 (0.051) Loss 2.5416 (2.3007) Prec@1 41.406 (47.370) Prec@5 66.406 (72.717)
Epoch: [75][520/5005] Time 0.215 (0.213) Data 0.046 (0.051) Loss 2.2871 (2.3007) Prec@1 45.703 (47.367) Prec@5 71.875 (72.718)
Epoch: [75][530/5005] Time 0.221 (0.213) Data 0.045 (0.051) Loss 2.2529 (2.3001) Prec@1 46.875 (47.366) Prec@5 72.266 (72.725)
Epoch: [75][540/5005] Time 0.220 (0.213) Data 0.048 (0.051) Loss 2.3779 (2.3004) Prec@1 49.219 (47.357) Prec@5 69.141 (72.717)
Epoch: [75][550/5005] Time 0.217 (0.214) Data 0.043 (0.051) Loss 2.1775 (2.2996) Prec@1 45.312 (47.361) Prec@5 76.172 (72.729)
Epoch: [75][560/5005] Time 0.217 (0.214) Data 0.043 (0.050) Loss 2.3985 (2.2994) Prec@1 46.875 (47.378) Prec@5 72.266 (72.729)
Epoch: [75][570/5005] Time 0.215 (0.214) Data 0.042 (0.050) Loss 2.4064 (2.3001) Prec@1 45.312 (47.365) Prec@5 70.703 (72.706)
Epoch: [75][580/5005] Time 0.209 (0.214) Data 0.057 (0.050) Loss 2.3826 (2.2994) Prec@1 44.922 (47.376) Prec@5 74.609 (72.728)
Epoch: [75][590/5005] Time 0.207 (0.214) Data 0.057 (0.050) Loss 2.3771 (2.2987) Prec@1 44.141 (47.385) Prec@5 73.828 (72.736)
Epoch: [75][600/5005] Time 0.217 (0.214) Data 0.044 (0.050) Loss 2.2697 (2.3002) Prec@1 47.656 (47.366) Prec@5 71.875 (72.732)
Epoch: [75][610/5005] Time 0.212 (0.214) Data 0.058 (0.050) Loss 2.1584 (2.3004) Prec@1 48.438 (47.380) Prec@5 72.656 (72.731)
Epoch: [75][620/5005] Time 0.220 (0.214) Data 0.042 (0.050) Loss 2.2654 (2.3001) Prec@1 51.953 (47.403) Prec@5 73.438 (72.747)
Epoch: [75][630/5005] Time 0.216 (0.214) Data 0.043 (0.050) Loss 2.4555 (2.3002) Prec@1 47.656 (47.402) Prec@5 69.141 (72.753)
Epoch: [75][640/5005] Time 0.218 (0.214) Data 0.044 (0.050) Loss 2.1225 (2.2997) Prec@1 46.094 (47.409) Prec@5 76.562 (72.770)
Epoch: [75][650/5005] Time 0.207 (0.214) Data 0.040 (0.050) Loss 2.4122 (2.3000) Prec@1 41.406 (47.407) Prec@5 68.359 (72.756)
Epoch: [75][660/5005] Time 0.207 (0.214) Data 0.042 (0.050) Loss 2.4588 (2.2990) Prec@1 46.094 (47.418) Prec@5 70.703 (72.777)
Epoch: [75][670/5005] Time 0.215 (0.214) Data 0.047 (0.050) Loss 2.5322 (2.2990) Prec@1 46.094 (47.422) Prec@5 71.875 (72.776)
Epoch: [75][680/5005] Time 0.222 (0.214) Data 0.041 (0.050) Loss 2.2305 (2.2993) Prec@1 48.047 (47.417) Prec@5 75.391 (72.772)
Epoch: [75][690/5005] Time 0.211 (0.214) Data 0.048 (0.050) Loss 2.1854 (2.2985) Prec@1 51.172 (47.419) Prec@5 75.781 (72.784)
Epoch: [75][700/5005] Time 0.207 (0.214) Data 0.042 (0.050) Loss 2.3534 (2.2979) Prec@1 43.750 (47.417) Prec@5 71.094 (72.790)
Epoch: [75][710/5005] Time 0.203 (0.214) Data 0.051 (0.050) Loss 2.3275 (2.2981) Prec@1 45.703 (47.416) Prec@5 70.703 (72.779)
Epoch: [75][720/5005] Time 0.219 (0.214) Data 0.043 (0.050) Loss 2.1249 (2.2971) Prec@1 48.828 (47.439) Prec@5 77.734 (72.794)
Epoch: [75][730/5005] Time 0.211 (0.214) Data 0.052 (0.050) Loss 2.3447 (2.2969) Prec@1 45.312 (47.455) Prec@5 72.656 (72.796)
Epoch: [75][740/5005] Time 0.209 (0.213) Data 0.044 (0.050) Loss 2.4242 (2.2970) Prec@1 48.828 (47.475) Prec@5 66.797 (72.771)
Epoch: [75][750/5005] Time 0.197 (0.213) Data 0.052 (0.050) Loss 2.0929 (2.2967) Prec@1 49.219 (47.494) Prec@5 74.609 (72.773)
Epoch: [75][760/5005] Time 0.217 (0.213) Data 0.047 (0.050) Loss 2.3231 (2.2966) Prec@1 44.531 (47.494) Prec@5 72.266 (72.769)
Epoch: [75][770/5005] Time 0.219 (0.213) Data 0.043 (0.050) Loss 2.3021 (2.2956) Prec@1 46.484 (47.497) Prec@5 73.047 (72.786)
Epoch: [75][780/5005] Time 0.217 (0.213) Data 0.046 (0.050) Loss 2.2580 (2.2952) Prec@1 46.875 (47.495) Prec@5 75.000 (72.793)
Epoch: [75][790/5005] Time 0.193 (0.213) Data 0.054 (0.050) Loss 2.3619 (2.2947) Prec@1 45.703 (47.492) Prec@5 72.266 (72.802)
Epoch: [75][800/5005] Time 0.201 (0.213) Data 0.056 (0.050) Loss 2.2479 (2.2940) Prec@1 44.141 (47.501) Prec@5 71.875 (72.806)
Epoch: [75][810/5005] Time 0.215 (0.213) Data 0.043 (0.050) Loss 2.3746 (2.2945) Prec@1 45.312 (47.485) Prec@5 71.484 (72.797)
Epoch: [75][820/5005] Time 0.213 (0.213) Data 0.056 (0.050) Loss 2.3759 (2.2941) Prec@1 47.656 (47.504) Prec@5 70.703 (72.804)
Epoch: [75][830/5005] Time 0.197 (0.213) Data 0.042 (0.050) Loss 2.2221 (2.2941) Prec@1 48.438 (47.506) Prec@5 74.219 (72.807)
Epoch: [75][840/5005] Time 0.222 (0.213) Data 0.043 (0.050) Loss 2.1426 (2.2942) Prec@1 48.047 (47.492) Prec@5 72.656 (72.808)
Epoch: [75][850/5005] Time 0.216 (0.213) Data 0.059 (0.050) Loss 2.3968 (2.2936) Prec@1 45.312 (47.502) Prec@5 73.828 (72.816)
Epoch: [75][860/5005] Time 0.209 (0.213) Data 0.043 (0.050) Loss 2.3010 (2.2939) Prec@1 47.266 (47.503) Prec@5 70.703 (72.805)
Epoch: [75][870/5005] Time 0.210 (0.213) Data 0.042 (0.050) Loss 2.2765 (2.2926) Prec@1 47.656 (47.530) Prec@5 71.094 (72.819)
Epoch: [75][880/5005] Time 0.210 (0.213) Data 0.054 (0.050) Loss 2.2453 (2.2929) Prec@1 46.094 (47.519) Prec@5 71.094 (72.807)
Epoch: [75][890/5005] Time 0.214 (0.213) Data 0.049 (0.050) Loss 2.5903 (2.2925) Prec@1 41.406 (47.532) Prec@5 66.016 (72.797)
Epoch: [75][900/5005] Time 0.209 (0.213) Data 0.058 (0.050) Loss 2.1884 (2.2919) Prec@1 49.609 (47.540) Prec@5 73.047 (72.799)
Epoch: [75][910/5005] Time 0.208 (0.213) Data 0.058 (0.050) Loss 2.2482 (2.2917) Prec@1 49.609 (47.547) Prec@5 73.828 (72.796)
Epoch: [75][920/5005] Time 0.212 (0.213) Data 0.058 (0.050) Loss 2.3432 (2.2912) Prec@1 45.312 (47.557) Prec@5 73.438 (72.807)
Epoch: [75][930/5005] Time 0.208 (0.213) Data 0.041 (0.050) Loss 2.2470 (2.2910) Prec@1 50.391 (47.561) Prec@5 74.219 (72.819)
Epoch: [75][940/5005] Time 0.209 (0.213) Data 0.057 (0.050) Loss 2.1898 (2.2911) Prec@1 50.000 (47.570) Prec@5 75.391 (72.818)
Epoch: [75][950/5005] Time 0.204 (0.213) Data 0.046 (0.050) Loss 2.3495 (2.2920) Prec@1 44.922 (47.567) Prec@5 73.047 (72.804)
Epoch: [75][960/5005] Time 0.207 (0.213) Data 0.042 (0.050) Loss 2.5224 (2.2922) Prec@1 48.438 (47.568) Prec@5 69.922 (72.799)
Epoch: [75][970/5005] Time 0.221 (0.213) Data 0.044 (0.050) Loss 2.1650 (2.2922) Prec@1 50.781 (47.568) Prec@5 74.609 (72.801)
Epoch: [75][980/5005] Time 0.212 (0.213) Data 0.044 (0.050) Loss 2.2046 (2.2913) Prec@1 48.438 (47.580) Prec@5 72.656 (72.816)
Epoch: [75][990/5005] Time 0.212 (0.213) Data 0.059 (0.050) Loss 2.4123 (2.2918) Prec@1 41.797 (47.550) Prec@5 73.438 (72.810)
Epoch: [75][1000/5005] Time 0.219 (0.213) Data 0.045 (0.050) Loss 2.1786 (2.2919) Prec@1 48.828 (47.560) Prec@5 75.391 (72.810)
Epoch: [75][1010/5005] Time 0.204 (0.213) Data 0.048 (0.050) Loss 2.2306 (2.2914) Prec@1 46.875 (47.570) Prec@5 73.438 (72.817)
Epoch: [75][1020/5005] Time 0.202 (0.213) Data 0.057 (0.050) Loss 2.1924 (2.2921) Prec@1 46.484 (47.556) Prec@5 74.609 (72.802)
Epoch: [75][1030/5005] Time 0.217 (0.213) Data 0.042 (0.050) Loss 2.1355 (2.2911) Prec@1 48.828 (47.576) Prec@5 71.875 (72.815)
Epoch: [75][1040/5005] Time 0.202 (0.214) Data 0.047 (0.050) Loss 2.3107 (2.2909) Prec@1 45.312 (47.581) Prec@5 74.609 (72.819)
Epoch: [75][1050/5005] Time 0.202 (0.214) Data 0.047 (0.050) Loss 2.5612 (2.2909) Prec@1 47.266 (47.573) Prec@5 70.312 (72.823)
Epoch: [75][1060/5005] Time 0.201 (0.214) Data 0.051 (0.050) Loss 2.4911 (2.2912) Prec@1 43.750 (47.563) Prec@5 71.484 (72.822)
Epoch: [75][1070/5005] Time 0.201 (0.214) Data 0.063 (0.050) Loss 2.4027 (2.2911) Prec@1 46.484 (47.561) Prec@5 71.094 (72.820)
Epoch: [75][1080/5005] Time 0.205 (0.213) Data 0.050 (0.050) Loss 2.2544 (2.2912) Prec@1 48.438 (47.564) Prec@5 74.219 (72.826)
Epoch: [75][1090/5005] Time 0.202 (0.213) Data 0.048 (0.050) Loss 2.1178 (2.2910) Prec@1 50.391 (47.562) Prec@5 75.391 (72.836)
Epoch: [75][1100/5005] Time 0.198 (0.213) Data 0.060 (0.050) Loss 2.2401 (2.2906) Prec@1 49.609 (47.565) Prec@5 74.609 (72.844)
Epoch: [75][1110/5005] Time 0.211 (0.213) Data 0.046 (0.050) Loss 2.2377 (2.2905) Prec@1 50.000 (47.583) Prec@5 73.047 (72.843)
Epoch: [75][1120/5005] Time 0.210 (0.213) Data 0.050 (0.050) Loss 2.1887 (2.2897) Prec@1 51.562 (47.596) Prec@5 74.609 (72.860)
Epoch: [75][1130/5005] Time 0.211 (0.213) Data 0.044 (0.050) Loss 2.5193 (2.2901) Prec@1 44.922 (47.598) Prec@5 70.312 (72.853)
Epoch: [75][1140/5005] Time 0.211 (0.213) Data 0.044 (0.050) Loss 2.2536 (2.2894) Prec@1 48.828 (47.605) Prec@5 74.219 (72.866)
Epoch: [75][1150/5005] Time 0.200 (0.213) Data 0.054 (0.050) Loss 2.3088 (2.2890) Prec@1 45.312 (47.626) Prec@5 72.656 (72.876)
Epoch: [75][1160/5005] Time 0.212 (0.213) Data 0.044 (0.050) Loss 2.3570 (2.2889) Prec@1 45.312 (47.631) Prec@5 72.266 (72.870)
Epoch: [75][1170/5005] Time 0.205 (0.213) Data 0.054 (0.050) Loss 2.2935 (2.2889) Prec@1 44.531 (47.634) Prec@5 73.438 (72.874)
Epoch: [75][1180/5005] Time 0.212 (0.213) Data 0.044 (0.050) Loss 2.3954 (2.2887) Prec@1 47.656 (47.625) Prec@5 71.484 (72.877)
Epoch: [75][1190/5005] Time 0.210 (0.213) Data 0.043 (0.050) Loss 2.1970 (2.2884) Prec@1 45.703 (47.626) Prec@5 72.656 (72.882)
Epoch: [75][1200/5005] Time 0.213 (0.213) Data 0.043 (0.049) Loss 2.4264 (2.2882) Prec@1 46.094 (47.630) Prec@5 72.266 (72.890)
Epoch: [75][1210/5005] Time 0.216 (0.213) Data 0.044 (0.049) Loss 2.2606 (2.2886) Prec@1 46.875 (47.620) Prec@5 74.609 (72.890)
Epoch: [75][1220/5005] Time 0.212 (0.213) Data 0.043 (0.049) Loss 2.1390 (2.2886) Prec@1 49.219 (47.622) Prec@5 74.609 (72.892)
Epoch: [75][1230/5005] Time 0.207 (0.213) Data 0.047 (0.049) Loss 2.3357 (2.2883) Prec@1 48.438 (47.630) Prec@5 72.656 (72.900)
Epoch: [75][1240/5005] Time 0.205 (0.213) Data 0.044 (0.049) Loss 2.2240 (2.2883) Prec@1 50.781 (47.626) Prec@5 73.047 (72.900)
Epoch: [75][1250/5005] Time 0.206 (0.213) Data 0.049 (0.049) Loss 2.5825 (2.2888) Prec@1 45.312 (47.618) Prec@5 68.750 (72.892)
Epoch: [75][1260/5005] Time 0.216 (0.213) Data 0.059 (0.049) Loss 2.0703 (2.2882) Prec@1 53.125 (47.627) Prec@5 74.609 (72.894)
Epoch: [75][1270/5005] Time 0.215 (0.213) Data 0.045 (0.049) Loss 2.2963 (2.2888) Prec@1 50.000 (47.619) Prec@5 73.047 (72.888)
Epoch: [75][1280/5005] Time 0.216 (0.213) Data 0.042 (0.049) Loss 2.2845 (2.2889) Prec@1 51.953 (47.622) Prec@5 73.047 (72.887)
Epoch: [75][1290/5005] Time 0.210 (0.213) Data 0.050 (0.049) Loss 2.1046 (2.2885) Prec@1 53.516 (47.630) Prec@5 73.828 (72.882)
Epoch: [75][1300/5005] Time 0.216 (0.213) Data 0.046 (0.049) Loss 2.1581 (2.2881) Prec@1 55.859 (47.646) Prec@5 73.828 (72.885)
Epoch: [75][1310/5005] Time 0.208 (0.213) Data 0.044 (0.049) Loss 2.3801 (2.2882) Prec@1 42.969 (47.641) Prec@5 73.047 (72.888)
Epoch: [75][1320/5005] Time 0.209 (0.213) Data 0.046 (0.049) Loss 2.3869 (2.2879) Prec@1 48.828 (47.660) Prec@5 71.094 (72.886)
Epoch: [75][1330/5005] Time 0.204 (0.213) Data 0.043 (0.049) Loss 2.3452 (2.2880) Prec@1 45.312 (47.658) Prec@5 71.094 (72.886)
Epoch: [75][1340/5005] Time 0.200 (0.213) Data 0.058 (0.049) Loss 2.1202 (2.2878) Prec@1 48.438 (47.666) Prec@5 77.344 (72.893)
Epoch: [75][1350/5005] Time 0.194 (0.213) Data 0.044 (0.049) Loss 2.6607 (2.2881) Prec@1 44.922 (47.664) Prec@5 66.406 (72.886)
Epoch: [75][1360/5005] Time 0.213 (0.213) Data 0.043 (0.049) Loss 2.0524 (2.2879) Prec@1 54.297 (47.664) Prec@5 77.344 (72.889)
Epoch: [75][1370/5005] Time 0.220 (0.213) Data 0.046 (0.049) Loss 2.4452 (2.2875) Prec@1 44.922 (47.667) Prec@5 72.266 (72.897)
Epoch: [75][1380/5005] Time 0.214 (0.213) Data 0.045 (0.049) Loss 2.2817 (2.2873) Prec@1 48.438 (47.667) Prec@5 73.828 (72.902)
Epoch: [75][1390/5005] Time 0.216 (0.213) Data 0.044 (0.049) Loss 2.1041 (2.2873) Prec@1 50.781 (47.668) Prec@5 74.609 (72.904)
Epoch: [75][1400/5005] Time 0.206 (0.213) Data 0.043 (0.049) Loss 2.3629 (2.2867) Prec@1 49.219 (47.677) Prec@5 68.359 (72.911)
Epoch: [75][1410/5005] Time 0.212 (0.213) Data 0.041 (0.049) Loss 2.3130 (2.2867) Prec@1 43.750 (47.675) Prec@5 71.484 (72.907)
Epoch: [75][1420/5005] Time 0.213 (0.213) Data 0.048 (0.049) Loss 2.4794 (2.2867) Prec@1 43.750 (47.666) Prec@5 69.141 (72.910)
Epoch: [75][1430/5005] Time 0.206 (0.213) Data 0.042 (0.049) Loss 2.0143 (2.2862) Prec@1 51.953 (47.680) Prec@5 75.781 (72.915)
Epoch: [75][1440/5005] Time 0.212 (0.213) Data 0.046 (0.049) Loss 2.0431 (2.2858) Prec@1 51.953 (47.684) Prec@5 78.516 (72.926)
Epoch: [75][1450/5005] Time 0.215 (0.213) Data 0.044 (0.049) Loss 2.2020 (2.2857) Prec@1 50.000 (47.686) Prec@5 73.438 (72.931)
Epoch: [75][1460/5005] Time 0.212 (0.213) Data 0.041 (0.049) Loss 2.4056 (2.2858) Prec@1 41.016 (47.678) Prec@5 70.703 (72.930)
Epoch: [75][1470/5005] Time 0.214 (0.212) Data 0.045 (0.049) Loss 2.3351 (2.2862) Prec@1 45.312 (47.677) Prec@5 73.828 (72.926)
Epoch: [75][1480/5005] Time 0.216 (0.212) Data 0.043 (0.049) Loss 2.0715 (2.2866) Prec@1 53.516 (47.667) Prec@5 76.562 (72.917)
Epoch: [75][1490/5005] Time 0.209 (0.212) Data 0.044 (0.049) Loss 2.3885 (2.2862) Prec@1 44.141 (47.666) Prec@5 70.312 (72.926)
Epoch: [75][1500/5005] Time 0.213 (0.212) Data 0.048 (0.049) Loss 2.2837 (2.2860) Prec@1 46.094 (47.677) Prec@5 69.922 (72.931)
Epoch: [75][1510/5005] Time 0.197 (0.212) Data 0.048 (0.049) Loss 2.2148 (2.2858) Prec@1 48.047 (47.674) Prec@5 74.219 (72.935)
Epoch: [75][1520/5005] Time 0.206 (0.212) Data 0.060 (0.049) Loss 2.2327 (2.2854) Prec@1 51.562 (47.683) Prec@5 72.656 (72.938)
Epoch: [75][1530/5005] Time 0.196 (0.212) Data 0.059 (0.049) Loss 2.4896 (2.2855) Prec@1 45.312 (47.682) Prec@5 69.141 (72.935)
Epoch: [75][1540/5005] Time 0.209 (0.212) Data 0.046 (0.049) Loss 2.3518 (2.2855) Prec@1 44.922 (47.682) Prec@5 68.750 (72.934)
Epoch: [75][1550/5005] Time 0.208 (0.212) Data 0.063 (0.049) Loss 2.0864 (2.2851) Prec@1 53.125 (47.686) Prec@5 77.344 (72.940)
Epoch: [75][1560/5005] Time 0.206 (0.212) Data 0.060 (0.049) Loss 2.2268 (2.2856) Prec@1 49.609 (47.678) Prec@5 73.047 (72.931)
Epoch: [75][1570/5005] Time 0.210 (0.212) Data 0.047 (0.049) Loss 2.1727 (2.2851) Prec@1 46.875 (47.681) Prec@5 75.391 (72.940)
Epoch: [75][1580/5005] Time 0.210 (0.212) Data 0.047 (0.049) Loss 2.1687 (2.2854) Prec@1 48.828 (47.683) Prec@5 76.562 (72.937)
Epoch: [75][1590/5005] Time 0.201 (0.212) Data 0.046 (0.049) Loss 2.1635 (2.2854) Prec@1 51.562 (47.685) Prec@5 73.047 (72.938)
Epoch: [75][1600/5005] Time 0.212 (0.212) Data 0.044 (0.049) Loss 2.2907 (2.2853) Prec@1 45.312 (47.682) Prec@5 73.438 (72.941)
Epoch: [75][1610/5005] Time 0.202 (0.212) Data 0.048 (0.049) Loss 2.4603 (2.2853) Prec@1 42.969 (47.680) Prec@5 72.656 (72.946)
Epoch: [75][1620/5005] Time 0.213 (0.212) Data 0.043 (0.049) Loss 2.4526 (2.2850) Prec@1 44.531 (47.683) Prec@5 71.094 (72.951)
Epoch: [75][1630/5005] Time 0.206 (0.212) Data 0.050 (0.049) Loss 2.0895 (2.2849) Prec@1 47.656 (47.683) Prec@5 76.953 (72.949)
Epoch: [75][1640/5005] Time 0.210 (0.212) Data 0.043 (0.049) Loss 2.3508 (2.2851) Prec@1 49.219 (47.688) Prec@5 72.266 (72.942)
Epoch: [75][1650/5005] Time 0.217 (0.212) Data 0.045 (0.049) Loss 2.3412 (2.2852) Prec@1 48.828 (47.692) Prec@5 73.828 (72.941)
Epoch: [75][1660/5005] Time 0.212 (0.212) Data 0.043 (0.049) Loss 2.1419 (2.2847) Prec@1 51.172 (47.708) Prec@5 75.781 (72.946)
Epoch: [75][1670/5005] Time 0.196 (0.212) Data 0.044 (0.049) Loss 2.1556 (2.2849) Prec@1 51.953 (47.713) Prec@5 75.781 (72.948)
Epoch: [75][1680/5005] Time 0.204 (0.212) Data 0.046 (0.049) Loss 2.4403 (2.2853) Prec@1 46.094 (47.713) Prec@5 69.141 (72.937)
Epoch: [75][1690/5005] Time 0.207 (0.212) Data 0.042 (0.049) Loss 2.0686 (2.2849) Prec@1 51.953 (47.713) Prec@5 77.344 (72.943)
Epoch: [75][1700/5005] Time 0.216 (0.212) Data 0.051 (0.049) Loss 2.2648 (2.2845) Prec@1 48.047 (47.719) Prec@5 77.344 (72.950)
Epoch: [75][1710/5005] Time 0.192 (0.212) Data 0.048 (0.049) Loss 2.2972 (2.2841) Prec@1 45.703 (47.725) Prec@5 72.266 (72.958)
Epoch: [75][1720/5005] Time 0.212 (0.212) Data 0.043 (0.049) Loss 2.4369 (2.2839) Prec@1 45.703 (47.725) Prec@5 71.875 (72.966)
Epoch: [75][1730/5005] Time 0.205 (0.212) Data 0.050 (0.049) Loss 2.3314 (2.2839) Prec@1 42.969 (47.725) Prec@5 73.047 (72.968)
Epoch: [75][1740/5005] Time 0.208 (0.212) Data 0.047 (0.049) Loss 2.5658 (2.2838) Prec@1 40.625 (47.725) Prec@5 70.312 (72.971)
Epoch: [75][1750/5005] Time 0.208 (0.212) Data 0.046 (0.049) Loss 2.2074 (2.2833) Prec@1 49.609 (47.737) Prec@5 75.391 (72.980)
Epoch: [75][1760/5005] Time 0.193 (0.212) Data 0.042 (0.049) Loss 2.1727 (2.2834) Prec@1 48.828 (47.734) Prec@5 75.000 (72.975)
Epoch: [75][1770/5005] Time 0.209 (0.212) Data 0.046 (0.049) Loss 2.3841 (2.2836) Prec@1 46.484 (47.727) Prec@5 72.266 (72.979)
Epoch: [75][1780/5005] Time 0.206 (0.212) Data 0.049 (0.049) Loss 2.0959 (2.2833) Prec@1 49.219 (47.730) Prec@5 75.391 (72.981)
Epoch: [75][1790/5005] Time 0.209 (0.212) Data 0.044 (0.049) Loss 2.2278 (2.2830) Prec@1 49.219 (47.733) Prec@5 73.828 (72.984)
Epoch: [75][1800/5005] Time 0.208 (0.212) Data 0.046 (0.049) Loss 2.2800 (2.2828) Prec@1 48.828 (47.741) Prec@5 74.609 (72.990)
Epoch: [75][1810/5005] Time 0.209 (0.212) Data 0.051 (0.049) Loss 2.2051 (2.2824) Prec@1 48.047 (47.743) Prec@5 72.656 (72.997)
Epoch: [75][1820/5005] Time 0.198 (0.212) Data 0.060 (0.049) Loss 2.4451 (2.2824) Prec@1 44.531 (47.745) Prec@5 71.875 (73.000)
Epoch: [75][1830/5005] Time 0.210 (0.212) Data 0.053 (0.049) Loss 2.0993 (2.2819) Prec@1 50.000 (47.752) Prec@5 76.562 (73.007)
Epoch: [75][1840/5005] Time 0.208 (0.212) Data 0.048 (0.049) Loss 2.3161 (2.2820) Prec@1 44.141 (47.751) Prec@5 69.141 (73.006)
Epoch: [75][1850/5005] Time 0.206 (0.212) Data 0.045 (0.049) Loss 2.2417 (2.2816) Prec@1 48.828 (47.758) Prec@5 75.000 (73.012)
Epoch: [75][1860/5005] Time 0.212 (0.212) Data 0.051 (0.049) Loss 2.2951 (2.2815) Prec@1 46.094 (47.762) Prec@5 71.094 (73.012)
Epoch: [75][1870/5005] Time 0.208 (0.212) Data 0.047 (0.049) Loss 2.4567 (2.2819) Prec@1 44.531 (47.755) Prec@5 70.703 (73.005)
Epoch: [75][1880/5005] Time 0.205 (0.212) Data 0.041 (0.048) Loss 2.2873 (2.2819) Prec@1 49.609 (47.756) Prec@5 70.312 (73.002)
Epoch: [75][1890/5005] Time 0.199 (0.212) Data 0.044 (0.048) Loss 2.3922 (2.2819) Prec@1 44.531 (47.758) Prec@5 73.047 (73.003)
Epoch: [75][1900/5005] Time 0.208 (0.212) Data 0.047 (0.048) Loss 2.2691 (2.2823) Prec@1 45.703 (47.753) Prec@5 76.172 (73.003)
Epoch: [75][1910/5005] Time 0.209 (0.212) Data 0.049 (0.048) Loss 2.2468 (2.2823) Prec@1 48.828 (47.754) Prec@5 74.219 (73.002)
Epoch: [75][1920/5005] Time 0.209 (0.212) Data 0.047 (0.049) Loss 2.0804 (2.2821) Prec@1 51.953 (47.756) Prec@5 77.734 (73.006)
Epoch: [75][1930/5005] Time 0.217 (0.212) Data 0.042 (0.048) Loss 2.1577 (2.2818) Prec@1 47.656 (47.761) Prec@5 76.172 (73.013)
Epoch: [75][1940/5005] Time 0.208 (0.212) Data 0.043 (0.048) Loss 2.0416 (2.2812) Prec@1 53.125 (47.769) Prec@5 75.391 (73.020)
Epoch: [75][1950/5005] Time 0.206 (0.212) Data 0.046 (0.048) Loss 2.3101 (2.2810) Prec@1 42.969 (47.774) Prec@5 71.094 (73.025)
Epoch: [75][1960/5005] Time 0.207 (0.212) Data 0.046 (0.048) Loss 2.3426 (2.2809) Prec@1 43.359 (47.772) Prec@5 74.219 (73.033)
Epoch: [75][1970/5005] Time 0.201 (0.212) Data 0.063 (0.048) Loss 2.2668 (2.2812) Prec@1 46.484 (47.765) Prec@5 71.875 (73.024)
Epoch: [75][1980/5005] Time 0.201 (0.211) Data 0.043 (0.048) Loss 2.0758 (2.2811) Prec@1 53.125 (47.775) Prec@5 78.516 (73.032)
Epoch: [75][1990/5005] Time 0.203 (0.211) Data 0.042 (0.048) Loss 2.1289 (2.2810) Prec@1 50.000 (47.780) Prec@5 77.344 (73.034)
Epoch: [75][2000/5005] Time 0.204 (0.212) Data 0.046 (0.048) Loss 2.1003 (2.2811) Prec@1 50.000 (47.780) Prec@5 74.609 (73.031)
Epoch: [75][2010/5005] Time 0.198 (0.212) Data 0.047 (0.048) Loss 2.1311 (2.2811) Prec@1 46.484 (47.776) Prec@5 76.562 (73.034)
Epoch: [75][2020/5005] Time 0.206 (0.212) Data 0.043 (0.048) Loss 2.2401 (2.2812) Prec@1 51.953 (47.771) Prec@5 75.000 (73.034)
Epoch: [75][2030/5005] Time 0.197 (0.212) Data 0.041 (0.048) Loss 2.2079 (2.2814) Prec@1 45.312 (47.770) Prec@5 75.000 (73.031)
Epoch: [75][2040/5005] Time 0.208 (0.212) Data 0.055 (0.048) Loss 2.0132 (2.2811) Prec@1 51.172 (47.775) Prec@5 76.953 (73.036)
Epoch: [75][2050/5005] Time 0.203 (0.212) Data 0.060 (0.048) Loss 2.4664 (2.2812) Prec@1 47.266 (47.780) Prec@5 71.094 (73.034)
Epoch: [75][2060/5005] Time 0.195 (0.212) Data 0.063 (0.048) Loss 2.1561 (2.2812) Prec@1 48.828 (47.782) Prec@5 75.000 (73.038)
Epoch: [75][2070/5005] Time 0.205 (0.212) Data 0.054 (0.048) Loss 2.4022 (2.2812) Prec@1 44.531 (47.781) Prec@5 71.875 (73.032)
Epoch: [75][2080/5005] Time 0.209 (0.212) Data 0.043 (0.048) Loss 2.2719 (2.2810) Prec@1 50.391 (47.787) Prec@5 71.094 (73.036)
Epoch: [75][2090/5005] Time 0.213 (0.212) Data 0.045 (0.048) Loss 2.0184 (2.2804) Prec@1 50.781 (47.797) Prec@5 78.125 (73.045)
Epoch: [75][2100/5005] Time 0.207 (0.212) Data 0.048 (0.048) Loss 2.2781 (2.2801) Prec@1 47.266 (47.799) Prec@5 72.656 (73.044)
Epoch: [75][2110/5005] Time 0.216 (0.212) Data 0.044 (0.048) Loss 2.0795 (2.2802) Prec@1 51.562 (47.796) Prec@5 74.219 (73.045)
Epoch: [75][2120/5005] Time 0.204 (0.212) Data 0.042 (0.048) Loss 2.5460 (2.2798) Prec@1 42.188 (47.793) Prec@5 65.234 (73.047)
Epoch: [75][2130/5005] Time 0.215 (0.212) Data 0.044 (0.048) Loss 2.2569 (2.2794) Prec@1 48.438 (47.798) Prec@5 74.219 (73.057)
Epoch: [75][2140/5005] Time 0.209 (0.212) Data 0.047 (0.048) Loss 2.0560 (2.2795) Prec@1 49.609 (47.801) Prec@5 75.391 (73.055)
Epoch: [75][2150/5005] Time 0.206 (0.212) Data 0.041 (0.048) Loss 2.0936 (2.2795) Prec@1 52.734 (47.803) Prec@5 75.391 (73.052)
Epoch: [75][2160/5005] Time 0.197 (0.212) Data 0.056 (0.048) Loss 2.2209 (2.2795) Prec@1 44.141 (47.800) Prec@5 75.391 (73.057)
Epoch: [75][2170/5005] Time 0.210 (0.212) Data 0.044 (0.048) Loss 2.1037 (2.2792) Prec@1 50.781 (47.807) Prec@5 78.125 (73.061)
Epoch: [75][2180/5005] Time 0.203 (0.212) Data 0.044 (0.048) Loss 2.3653 (2.2793) Prec@1 52.734 (47.806) Prec@5 72.266 (73.059)
Epoch: [75][2190/5005] Time 0.205 (0.212) Data 0.046 (0.048) Loss 2.5265 (2.2794) Prec@1 43.359 (47.804) Prec@5 69.141 (73.056)
Epoch: [75][2200/5005] Time 0.196 (0.212) Data 0.044 (0.048) Loss 2.3052 (2.2796) Prec@1 50.781 (47.802) Prec@5 71.484 (73.055)
Epoch: [75][2210/5005] Time 0.218 (0.212) Data 0.041 (0.048) Loss 2.2974 (2.2799) Prec@1 48.047 (47.793) Prec@5 70.312 (73.050)
Epoch: [75][2220/5005] Time 0.204 (0.212) Data 0.042 (0.048) Loss 2.3410 (2.2797) Prec@1 48.047 (47.791) Prec@5 70.703 (73.054)
Epoch: [75][2230/5005] Time 0.214 (0.212) Data 0.042 (0.048) Loss 2.2945 (2.2798) Prec@1 48.828 (47.792) Prec@5 75.000 (73.054)
Epoch: [75][2240/5005] Time 0.211 (0.212) Data 0.044 (0.048) Loss 2.3680 (2.2799) Prec@1 47.656 (47.788) Prec@5 70.312 (73.053)
Epoch: [75][2250/5005] Time 0.209 (0.212) Data 0.048 (0.048) Loss 2.0506 (2.2799) Prec@1 50.000 (47.787) Prec@5 76.953 (73.053)
Epoch: [75][2260/5005] Time 0.208 (0.211) Data 0.057 (0.048) Loss 2.2094 (2.2795) Prec@1 48.438 (47.796) Prec@5 73.828 (73.059)
Epoch: [75][2270/5005] Time 0.199 (0.211) Data 0.044 (0.048) Loss 2.3514 (2.2793) Prec@1 44.531 (47.803) Prec@5 69.531 (73.063)
Epoch: [75][2280/5005] Time 0.223 (0.211) Data 0.045 (0.048) Loss 2.3829 (2.2794) Prec@1 47.656 (47.804) Prec@5 73.828 (73.064)
Epoch: [75][2290/5005] Time 0.216 (0.211) Data 0.045 (0.048) Loss 2.0376 (2.2791) Prec@1 51.562 (47.808) Prec@5 76.953 (73.064)
Epoch: [75][2300/5005] Time 0.212 (0.211) Data 0.042 (0.048) Loss 2.1415 (2.2791) Prec@1 47.266 (47.813) Prec@5 74.219 (73.062)
Epoch: [75][2310/5005] Time 0.205 (0.211) Data 0.047 (0.048) Loss 2.1280 (2.2790) Prec@1 50.391 (47.817) Prec@5 74.609 (73.064)
Epoch: [75][2320/5005] Time 0.217 (0.211) Data 0.047 (0.048) Loss 2.4995 (2.2789) Prec@1 43.359 (47.820) Prec@5 70.312 (73.065)
Epoch: [75][2330/5005] Time 0.206 (0.211) Data 0.061 (0.048) Loss 2.2370 (2.2787) Prec@1 49.219 (47.824) Prec@5 73.047 (73.067)
Epoch: [75][2340/5005] Time 0.205 (0.211) Data 0.046 (0.048) Loss 2.2314 (2.2785) Prec@1 48.047 (47.829) Prec@5 72.656 (73.069)
Epoch: [75][2350/5005] Time 0.201 (0.211) Data 0.053 (0.048) Loss 2.3406 (2.2784) Prec@1 41.797 (47.825) Prec@5 72.266 (73.068)
Epoch: [75][2360/5005] Time 0.206 (0.211) Data 0.066 (0.048) Loss 2.3566 (2.2785) Prec@1 44.141 (47.822) Prec@5 70.703 (73.065)
Epoch: [75][2370/5005] Time 0.207 (0.211) Data 0.060 (0.048) Loss 2.4040 (2.2787) Prec@1 46.875 (47.816) Prec@5 69.141 (73.058)
Epoch: [75][2380/5005] Time 0.198 (0.211) Data 0.058 (0.048) Loss 2.4593 (2.2787) Prec@1 44.141 (47.816) Prec@5 72.266 (73.060)
Epoch: [75][2390/5005] Time 0.202 (0.211) Data 0.047 (0.048) Loss 2.2264 (2.2784) Prec@1 48.828 (47.821) Prec@5 74.219 (73.064)
Epoch: [75][2400/5005] Time 0.209 (0.211) Data 0.047 (0.048) Loss 2.3398 (2.2784) Prec@1 44.531 (47.819) Prec@5 71.484 (73.065)
Epoch: [75][2410/5005] Time 0.198 (0.211) Data 0.049 (0.048) Loss 2.5016 (2.2786) Prec@1 40.625 (47.817) Prec@5 69.141 (73.061)
Epoch: [75][2420/5005] Time 0.212 (0.211) Data 0.039 (0.048) Loss 2.3985 (2.2784) Prec@1 46.094 (47.823) Prec@5 72.656 (73.067)
Epoch: [75][2430/5005] Time 0.213 (0.211) Data 0.042 (0.048) Loss 2.1973 (2.2784) Prec@1 48.828 (47.825) Prec@5 76.172 (73.067)
Epoch: [75][2440/5005] Time 0.217 (0.211) Data 0.043 (0.048) Loss 2.0685 (2.2782) Prec@1 55.078 (47.832) Prec@5 77.344 (73.065)
Epoch: [75][2450/5005] Time 0.202 (0.211) Data 0.052 (0.048) Loss 2.1728 (2.2782) Prec@1 50.000 (47.834) Prec@5 72.656 (73.064)
Epoch: [75][2460/5005] Time 0.213 (0.211) Data 0.045 (0.048) Loss 2.2230 (2.2779) Prec@1 47.656 (47.839) Prec@5 73.047 (73.069)
Epoch: [75][2470/5005] Time 0.215 (0.211) Data 0.049 (0.048) Loss 2.0304 (2.2775) Prec@1 48.828 (47.846) Prec@5 75.391 (73.077)
Epoch: [75][2480/5005] Time 0.212 (0.211) Data 0.045 (0.048) Loss 2.4229 (2.2777) Prec@1 45.312 (47.844) Prec@5 69.531 (73.074)
Epoch: [75][2490/5005] Time 0.200 (0.211) Data 0.064 (0.048) Loss 2.1524 (2.2777) Prec@1 53.125 (47.845) Prec@5 75.391 (73.078)
Epoch: [75][2500/5005] Time 0.203 (0.211) Data 0.049 (0.048) Loss 2.3489 (2.2777) Prec@1 44.531 (47.848) Prec@5 72.266 (73.081)
Epoch: [75][2510/5005] Time 0.209 (0.211) Data 0.042 (0.048) Loss 2.3993 (2.2777) Prec@1 49.219 (47.846) Prec@5 71.484 (73.082)
Epoch: [75][2520/5005] Time 0.214 (0.211) Data 0.044 (0.048) Loss 2.2198 (2.2777) Prec@1 51.172 (47.847) Prec@5 73.828 (73.081)
Epoch: [75][2530/5005] Time 0.211 (0.211) Data 0.043 (0.048) Loss 2.5371 (2.2776) Prec@1 48.828 (47.848) Prec@5 65.625 (73.077)
Epoch: [75][2540/5005] Time 0.200 (0.211) Data 0.040 (0.048) Loss 2.1964 (2.2775) Prec@1 48.438 (47.850) Prec@5 72.266 (73.078)
Epoch: [75][2550/5005] Time 0.214 (0.211) Data 0.044 (0.048) Loss 2.3219 (2.2775) Prec@1 41.406 (47.853) Prec@5 73.438 (73.081)
Epoch: [75][2560/5005] Time 0.210 (0.211) Data 0.043 (0.048) Loss 2.4192 (2.2775) Prec@1 40.234 (47.852) Prec@5 70.703 (73.079)
Epoch: [75][2570/5005] Time 0.199 (0.211) Data 0.048 (0.048) Loss 2.3113 (2.2776) Prec@1 44.531 (47.853) Prec@5 73.828 (73.076)
Epoch: [75][2580/5005] Time 0.208 (0.211) Data 0.046 (0.048) Loss 2.4410 (2.2781) Prec@1 44.141 (47.845) Prec@5 70.703 (73.070)
Epoch: [75][2590/5005] Time 0.208 (0.211) Data 0.052 (0.048) Loss 2.3632 (2.2779) Prec@1 47.656 (47.852) Prec@5 70.703 (73.074)
Epoch: [75][2600/5005] Time 0.210 (0.211) Data 0.044 (0.048) Loss 2.3694 (2.2780) Prec@1 47.266 (47.850) Prec@5 72.266 (73.071)
Epoch: [75][2610/5005] Time 0.209 (0.211) Data 0.042 (0.048) Loss 2.4232 (2.2778) Prec@1 45.312 (47.855) Prec@5 67.578 (73.075)
Epoch: [75][2620/5005] Time 0.208 (0.211) Data 0.042 (0.048) Loss 2.1086 (2.2777) Prec@1 50.000 (47.858) Prec@5 76.172 (73.075)
Epoch: [75][2630/5005] Time 0.200 (0.211) Data 0.050 (0.048) Loss 2.5612 (2.2781) Prec@1 42.969 (47.855) Prec@5 66.797 (73.067)
Epoch: [75][2640/5005] Time 0.209 (0.211) Data 0.041 (0.048) Loss 2.3928 (2.2781) Prec@1 44.141 (47.857) Prec@5 70.703 (73.066)
Epoch: [75][2650/5005] Time 0.215 (0.211) Data 0.042 (0.048) Loss 2.3222 (2.2780) Prec@1 48.438 (47.859) Prec@5 71.094 (73.068)
Epoch: [75][2660/5005] Time 0.200 (0.211) Data 0.046 (0.048) Loss 2.1856 (2.2780) Prec@1 47.266 (47.857) Prec@5 76.172 (73.066)
Epoch: [75][2670/5005] Time 0.202 (0.211) Data 0.058 (0.048) Loss 1.9924 (2.2777) Prec@1 50.391 (47.864) Prec@5 78.516 (73.071)
Epoch: [75][2680/5005] Time 0.203 (0.211) Data 0.046 (0.048) Loss 2.2185 (2.2777) Prec@1 49.609 (47.863) Prec@5 76.953 (73.070)
Epoch: [75][2690/5005] Time 0.202 (0.211) Data 0.046 (0.048) Loss 2.0811 (2.2774) Prec@1 51.562 (47.864) Prec@5 76.953 (73.076)
Epoch: [75][2700/5005] Time 0.207 (0.211) Data 0.045 (0.048) Loss 2.3227 (2.2774) Prec@1 44.922 (47.862) Prec@5 71.094 (73.077)
Epoch: [75][2710/5005] Time 0.196 (0.211) Data 0.047 (0.048) Loss 2.1562 (2.2776) Prec@1 48.047 (47.858) Prec@5 75.391 (73.076)
Epoch: [75][2720/5005] Time 0.205 (0.211) Data 0.060 (0.048) Loss 2.1606 (2.2775) Prec@1 48.828 (47.860) Prec@5 74.219 (73.077)
Epoch: [75][2730/5005] Time 0.200 (0.211) Data 0.050 (0.048) Loss 2.4395 (2.2774) Prec@1 44.531 (47.866) Prec@5 72.266 (73.078)
Epoch: [75][2740/5005] Time 0.205 (0.211) Data 0.043 (0.048) Loss 2.2998 (2.2773) Prec@1 50.000 (47.870) Prec@5 73.438 (73.080)
Epoch: [75][2750/5005] Time 0.205 (0.211) Data 0.046 (0.048) Loss 2.3948 (2.2772) Prec@1 41.797 (47.870) Prec@5 71.875 (73.080)
Epoch: [75][2760/5005] Time 0.207 (0.211) Data 0.048 (0.048) Loss 2.1529 (2.2771) Prec@1 52.344 (47.873) Prec@5 76.953 (73.084)
Epoch: [75][2770/5005] Time 0.197 (0.211) Data 0.044 (0.048) Loss 2.1816 (2.2772) Prec@1 50.391 (47.869) Prec@5 74.609 (73.085)
Epoch: [75][2780/5005] Time 0.195 (0.211) Data 0.054 (0.048) Loss 2.5578 (2.2772) Prec@1 39.453 (47.868) Prec@5 67.969 (73.084)
Epoch: [75][2790/5005] Time 0.207 (0.211) Data 0.059 (0.048) Loss 2.3643 (2.2771) Prec@1 43.359 (47.870) Prec@5 72.266 (73.082)
Epoch: [75][2800/5005] Time 0.206 (0.211) Data 0.062 (0.048) Loss 2.1110 (2.2770) Prec@1 52.344 (47.873) Prec@5 76.172 (73.084)
Epoch: [75][2810/5005] Time 0.212 (0.211) Data 0.042 (0.048) Loss 2.4228 (2.2769) Prec@1 45.703 (47.874) Prec@5 71.875 (73.088)
Epoch: [75][2820/5005] Time 0.208 (0.211) Data 0.051 (0.048) Loss 2.0151 (2.2767) Prec@1 50.000 (47.873) Prec@5 78.516 (73.093)
Epoch: [75][2830/5005] Time 0.211 (0.211) Data 0.044 (0.048) Loss 2.5090 (2.2768) Prec@1 42.969 (47.866) Prec@5 67.578 (73.091)
Epoch: [75][2840/5005] Time 0.199 (0.211) Data 0.041 (0.048) Loss 2.3749 (2.2767) Prec@1 45.312 (47.862) Prec@5 67.969 (73.091)
Epoch: [75][2850/5005] Time 0.212 (0.211) Data 0.042 (0.048) Loss 2.2733 (2.2767) Prec@1 47.266 (47.862) Prec@5 71.875 (73.090)
Epoch: [75][2860/5005] Time 0.204 (0.211) Data 0.047 (0.048) Loss 2.3752 (2.2769) Prec@1 45.703 (47.864) Prec@5 70.703 (73.089)
Epoch: [75][2870/5005] Time 0.205 (0.211) Data 0.048 (0.048) Loss 2.1666 (2.2766) Prec@1 48.828 (47.869) Prec@5 75.391 (73.094)
Epoch: [75][2880/5005] Time 0.203 (0.211) Data 0.048 (0.048) Loss 2.2295 (2.2767) Prec@1 48.828 (47.867) Prec@5 75.781 (73.091)
Epoch: [75][2890/5005] Time 0.211 (0.211) Data 0.044 (0.048) Loss 2.3205 (2.2765) Prec@1 41.797 (47.873) Prec@5 73.047 (73.096)
Epoch: [75][2900/5005] Time 0.218 (0.211) Data 0.042 (0.048) Loss 1.9640 (2.2764) Prec@1 53.906 (47.874) Prec@5 79.297 (73.098)
Epoch: [75][2910/5005] Time 0.207 (0.211) Data 0.049 (0.048) Loss 2.2437 (2.2763) Prec@1 46.484 (47.874) Prec@5 75.391 (73.100)
Epoch: [75][2920/5005] Time 0.201 (0.211) Data 0.058 (0.048) Loss 2.3906 (2.2764) Prec@1 47.266 (47.875) Prec@5 73.047 (73.102)
Epoch: [75][2930/5005] Time 0.217 (0.211) Data 0.041 (0.048) Loss 2.5175 (2.2764) Prec@1 44.141 (47.878) Prec@5 71.094 (73.101)
Epoch: [75][2940/5005] Time 0.198 (0.211) Data 0.049 (0.048) Loss 2.1860 (2.2761) Prec@1 48.438 (47.884) Prec@5 73.047 (73.105)
Epoch: [75][2950/5005] Time 0.207 (0.211) Data 0.046 (0.048) Loss 2.5851 (2.2759) Prec@1 38.672 (47.887) Prec@5 69.531 (73.109)
Epoch: [75][2960/5005] Time 0.197 (0.211) Data 0.053 (0.048) Loss 2.2039 (2.2758) Prec@1 47.656 (47.889) Prec@5 76.562 (73.112)
Epoch: [75][2970/5005] Time 0.202 (0.211) Data 0.049 (0.048) Loss 2.2130 (2.2756) Prec@1 48.047 (47.892) Prec@5 75.781 (73.116)
Epoch: [75][2980/5005] Time 0.211 (0.211) Data 0.042 (0.048) Loss 2.4331 (2.2756) Prec@1 45.312 (47.890) Prec@5 71.094 (73.115)
Epoch: [75][2990/5005] Time 0.212 (0.211) Data 0.044 (0.048) Loss 2.1941 (2.2754) Prec@1 48.047 (47.890) Prec@5 75.000 (73.117)
Epoch: [75][3000/5005] Time 0.209 (0.211) Data 0.043 (0.048) Loss 2.2169 (2.2754) Prec@1 48.438 (47.892) Prec@5 73.828 (73.117)
Epoch: [75][3010/5005] Time 0.213 (0.211) Data 0.043 (0.048) Loss 2.1764 (2.2754) Prec@1 46.484 (47.887) Prec@5 75.391 (73.117)
Epoch: [75][3020/5005] Time 0.206 (0.211) Data 0.041 (0.048) Loss 2.2196 (2.2754) Prec@1 48.828 (47.886) Prec@5 74.219 (73.116)
Epoch: [75][3030/5005] Time 0.203 (0.210) Data 0.043 (0.048) Loss 2.2707 (2.2753) Prec@1 52.344 (47.885) Prec@5 73.438 (73.119)
Epoch: [75][3040/5005] Time 0.212 (0.210) Data 0.048 (0.048) Loss 2.1845 (2.2751) Prec@1 48.438 (47.893) Prec@5 74.609 (73.120)
Epoch: [75][3050/5005] Time 0.205 (0.210) Data 0.043 (0.048) Loss 2.2868 (2.2750) Prec@1 43.359 (47.891) Prec@5 71.875 (73.123)
Epoch: [75][3060/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.1065 (2.2749) Prec@1 50.000 (47.892) Prec@5 75.781 (73.125)
Epoch: [75][3070/5005] Time 0.208 (0.210) Data 0.042 (0.048) Loss 2.1773 (2.2749) Prec@1 48.828 (47.893) Prec@5 74.609 (73.127)
Epoch: [75][3080/5005] Time 0.210 (0.210) Data 0.039 (0.048) Loss 2.1434 (2.2749) Prec@1 48.047 (47.891) Prec@5 76.172 (73.129)
Epoch: [75][3090/5005] Time 0.213 (0.210) Data 0.044 (0.048) Loss 2.4934 (2.2749) Prec@1 42.578 (47.891) Prec@5 71.875 (73.130)
Epoch: [75][3100/5005] Time 0.206 (0.210) Data 0.041 (0.048) Loss 2.2160 (2.2748) Prec@1 46.875 (47.888) Prec@5 72.266 (73.131)
Epoch: [75][3110/5005] Time 0.209 (0.210) Data 0.041 (0.048) Loss 2.0725 (2.2746) Prec@1 50.000 (47.891) Prec@5 76.562 (73.134)
Epoch: [75][3120/5005] Time 0.201 (0.210) Data 0.049 (0.048) Loss 2.3045 (2.2745) Prec@1 48.438 (47.895) Prec@5 73.828 (73.134)
Epoch: [75][3130/5005] Time 0.202 (0.210) Data 0.049 (0.048) Loss 2.3080 (2.2742) Prec@1 46.484 (47.903) Prec@5 73.438 (73.141)
Epoch: [75][3140/5005] Time 0.203 (0.210) Data 0.044 (0.048) Loss 2.0218 (2.2739) Prec@1 52.344 (47.911) Prec@5 73.828 (73.146)
Epoch: [75][3150/5005] Time 0.206 (0.210) Data 0.043 (0.048) Loss 2.1547 (2.2738) Prec@1 51.172 (47.915) Prec@5 76.562 (73.150)
Epoch: [75][3160/5005] Time 0.207 (0.210) Data 0.054 (0.048) Loss 2.1792 (2.2737) Prec@1 45.703 (47.916) Prec@5 75.391 (73.154)
Epoch: [75][3170/5005] Time 0.214 (0.210) Data 0.045 (0.048) Loss 2.4189 (2.2737) Prec@1 46.094 (47.916) Prec@5 70.312 (73.151)
Epoch: [75][3180/5005] Time 0.207 (0.210) Data 0.045 (0.048) Loss 2.1208 (2.2738) Prec@1 55.078 (47.920) Prec@5 76.562 (73.152)
Epoch: [75][3190/5005] Time 0.206 (0.210) Data 0.060 (0.048) Loss 2.3160 (2.2737) Prec@1 45.703 (47.917) Prec@5 71.875 (73.157)
Epoch: [75][3200/5005] Time 0.203 (0.210) Data 0.044 (0.048) Loss 2.3530 (2.2737) Prec@1 43.359 (47.914) Prec@5 74.219 (73.159)
Epoch: [75][3210/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.3570 (2.2737) Prec@1 44.922 (47.917) Prec@5 73.438 (73.161)
Epoch: [75][3220/5005] Time 0.205 (0.210) Data 0.050 (0.048) Loss 2.4151 (2.2737) Prec@1 45.312 (47.918) Prec@5 74.609 (73.165)
Epoch: [75][3230/5005] Time 0.217 (0.210) Data 0.043 (0.048) Loss 2.1580 (2.2735) Prec@1 52.734 (47.925) Prec@5 74.219 (73.168)
Epoch: [75][3240/5005] Time 0.200 (0.210) Data 0.049 (0.048) Loss 2.6062 (2.2738) Prec@1 40.625 (47.918) Prec@5 65.625 (73.161)
Epoch: [75][3250/5005] Time 0.206 (0.210) Data 0.058 (0.048) Loss 2.2560 (2.2739) Prec@1 48.828 (47.917) Prec@5 74.219 (73.160)
Epoch: [75][3260/5005] Time 0.194 (0.210) Data 0.058 (0.048) Loss 2.0762 (2.2739) Prec@1 51.953 (47.916) Prec@5 76.172 (73.161)
Epoch: [75][3270/5005] Time 0.207 (0.210) Data 0.049 (0.048) Loss 2.3174 (2.2737) Prec@1 50.391 (47.919) Prec@5 71.875 (73.161)
Epoch: [75][3280/5005] Time 0.208 (0.210) Data 0.066 (0.048) Loss 2.1482 (2.2737) Prec@1 50.391 (47.918) Prec@5 74.219 (73.160)
Epoch: [75][3290/5005] Time 0.196 (0.210) Data 0.044 (0.048) Loss 2.2637 (2.2737) Prec@1 45.312 (47.914) Prec@5 73.438 (73.164)
Epoch: [75][3300/5005] Time 0.214 (0.210) Data 0.043 (0.048) Loss 2.2115 (2.2737) Prec@1 46.094 (47.911) Prec@5 71.875 (73.161)
Epoch: [75][3310/5005] Time 0.215 (0.210) Data 0.044 (0.048) Loss 2.2841 (2.2737) Prec@1 48.828 (47.912) Prec@5 73.047 (73.161)
Epoch: [75][3320/5005] Time 0.189 (0.210) Data 0.057 (0.048) Loss 2.1435 (2.2736) Prec@1 52.734 (47.913) Prec@5 75.781 (73.164)
Epoch: [75][3330/5005] Time 0.206 (0.210) Data 0.044 (0.048) Loss 2.3506 (2.2737) Prec@1 45.312 (47.912) Prec@5 73.047 (73.164)
Epoch: [75][3340/5005] Time 0.209 (0.210) Data 0.048 (0.048) Loss 2.4749 (2.2738) Prec@1 48.047 (47.911) Prec@5 69.922 (73.162)
Epoch: [75][3350/5005] Time 0.204 (0.210) Data 0.043 (0.048) Loss 2.2867 (2.2737) Prec@1 49.219 (47.913) Prec@5 73.828 (73.165)
Epoch: [75][3360/5005] Time 0.201 (0.210) Data 0.040 (0.048) Loss 2.0952 (2.2737) Prec@1 48.047 (47.911) Prec@5 76.172 (73.166)
Epoch: [75][3370/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.3564 (2.2737) Prec@1 43.359 (47.909) Prec@5 73.828 (73.165)
Epoch: [75][3380/5005] Time 0.204 (0.210) Data 0.046 (0.048) Loss 2.2667 (2.2736) Prec@1 50.000 (47.911) Prec@5 71.484 (73.167)
Epoch: [75][3390/5005] Time 0.215 (0.210) Data 0.062 (0.048) Loss 2.2758 (2.2737) Prec@1 48.438 (47.909) Prec@5 73.438 (73.161)
Epoch: [75][3400/5005] Time 0.221 (0.210) Data 0.041 (0.048) Loss 2.2063 (2.2738) Prec@1 46.484 (47.909) Prec@5 75.781 (73.160)
Epoch: [75][3410/5005] Time 0.202 (0.210) Data 0.050 (0.048) Loss 2.1350 (2.2737) Prec@1 49.609 (47.911) Prec@5 76.172 (73.163)
Epoch: [75][3420/5005] Time 0.221 (0.210) Data 0.042 (0.048) Loss 2.2198 (2.2736) Prec@1 44.922 (47.908) Prec@5 75.000 (73.166)
Epoch: [75][3430/5005] Time 0.209 (0.210) Data 0.047 (0.048) Loss 2.1936 (2.2736) Prec@1 47.656 (47.906) Prec@5 71.484 (73.166)
Epoch: [75][3440/5005] Time 0.212 (0.210) Data 0.040 (0.048) Loss 2.1530 (2.2734) Prec@1 50.000 (47.910) Prec@5 72.656 (73.168)
Epoch: [75][3450/5005] Time 0.218 (0.210) Data 0.044 (0.048) Loss 2.1292 (2.2733) Prec@1 47.266 (47.910) Prec@5 71.484 (73.172)
Epoch: [75][3460/5005] Time 0.208 (0.210) Data 0.048 (0.048) Loss 2.2795 (2.2734) Prec@1 46.094 (47.907) Prec@5 72.266 (73.171)
Epoch: [75][3470/5005] Time 0.206 (0.210) Data 0.042 (0.048) Loss 2.1092 (2.2732) Prec@1 50.000 (47.910) Prec@5 75.781 (73.173)
Epoch: [75][3480/5005] Time 0.203 (0.210) Data 0.047 (0.048) Loss 2.1380 (2.2730) Prec@1 51.172 (47.913) Prec@5 77.344 (73.177)
Epoch: [75][3490/5005] Time 0.209 (0.210) Data 0.044 (0.048) Loss 2.3935 (2.2730) Prec@1 40.234 (47.911) Prec@5 70.312 (73.176)
Epoch: [75][3500/5005] Time 0.197 (0.210) Data 0.061 (0.048) Loss 2.1937 (2.2730) Prec@1 46.484 (47.909) Prec@5 75.000 (73.176)
Epoch: [75][3510/5005] Time 0.216 (0.210) Data 0.046 (0.048) Loss 2.1579 (2.2729) Prec@1 49.219 (47.912) Prec@5 75.391 (73.177)
Epoch: [75][3520/5005] Time 0.207 (0.210) Data 0.049 (0.048) Loss 2.3897 (2.2729) Prec@1 46.484 (47.909) Prec@5 72.266 (73.177)
Epoch: [75][3530/5005] Time 0.204 (0.210) Data 0.058 (0.048) Loss 2.1999 (2.2728) Prec@1 50.391 (47.914) Prec@5 77.344 (73.180)
Epoch: [75][3540/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.1770 (2.2726) Prec@1 51.953 (47.921) Prec@5 75.000 (73.182)
Epoch: [75][3550/5005] Time 0.209 (0.210) Data 0.042 (0.048) Loss 2.2523 (2.2723) Prec@1 47.656 (47.923) Prec@5 73.828 (73.186)
Epoch: [75][3560/5005] Time 0.212 (0.210) Data 0.042 (0.048) Loss 2.2650 (2.2723) Prec@1 48.047 (47.924) Prec@5 73.047 (73.185)
Epoch: [75][3570/5005] Time 0.204 (0.210) Data 0.046 (0.048) Loss 2.3006 (2.2722) Prec@1 49.219 (47.921) Prec@5 70.312 (73.182)
Epoch: [75][3580/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.2770 (2.2723) Prec@1 51.562 (47.922) Prec@5 71.094 (73.184)
Epoch: [75][3590/5005] Time 0.194 (0.210) Data 0.046 (0.048) Loss 2.3316 (2.2720) Prec@1 43.750 (47.926) Prec@5 70.312 (73.189)
Epoch: [75][3600/5005] Time 0.206 (0.210) Data 0.042 (0.048) Loss 2.2889 (2.2717) Prec@1 53.125 (47.932) Prec@5 71.875 (73.190)
Epoch: [75][3610/5005] Time 0.215 (0.210) Data 0.044 (0.048) Loss 2.0807 (2.2718) Prec@1 54.688 (47.933) Prec@5 78.516 (73.190)
Epoch: [75][3620/5005] Time 0.203 (0.210) Data 0.040 (0.048) Loss 2.3189 (2.2715) Prec@1 45.703 (47.939) Prec@5 73.047 (73.196)
Epoch: [75][3630/5005] Time 0.203 (0.210) Data 0.042 (0.048) Loss 2.4673 (2.2714) Prec@1 43.359 (47.941) Prec@5 71.484 (73.195)
Epoch: [75][3640/5005] Time 0.214 (0.210) Data 0.043 (0.048) Loss 2.1811 (2.2713) Prec@1 48.047 (47.943) Prec@5 75.000 (73.195)
Epoch: [75][3650/5005] Time 0.207 (0.210) Data 0.049 (0.048) Loss 2.1332 (2.2713) Prec@1 50.781 (47.941) Prec@5 74.609 (73.192)
Epoch: [75][3660/5005] Time 0.209 (0.210) Data 0.044 (0.048) Loss 2.4891 (2.2712) Prec@1 45.312 (47.945) Prec@5 69.922 (73.196)
Epoch: [75][3670/5005] Time 0.207 (0.210) Data 0.043 (0.048) Loss 2.3007 (2.2712) Prec@1 45.703 (47.942) Prec@5 73.047 (73.194)
Epoch: [75][3680/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.0753 (2.2711) Prec@1 46.875 (47.940) Prec@5 76.172 (73.195)
Epoch: [75][3690/5005] Time 0.202 (0.210) Data 0.044 (0.048) Loss 2.1070 (2.2711) Prec@1 52.344 (47.945) Prec@5 77.344 (73.199)
Epoch: [75][3700/5005] Time 0.200 (0.210) Data 0.043 (0.048) Loss 2.3298 (2.2711) Prec@1 45.703 (47.945) Prec@5 74.219 (73.200)
Epoch: [75][3710/5005] Time 0.207 (0.210) Data 0.041 (0.048) Loss 2.2945 (2.2711) Prec@1 49.219 (47.944) Prec@5 72.266 (73.199)
Epoch: [75][3720/5005] Time 0.211 (0.210) Data 0.055 (0.048) Loss 2.4470 (2.2710) Prec@1 46.484 (47.944) Prec@5 73.438 (73.202)
Epoch: [75][3730/5005] Time 0.203 (0.210) Data 0.043 (0.048) Loss 2.0774 (2.2709) Prec@1 48.828 (47.942) Prec@5 77.344 (73.203)
Epoch: [75][3740/5005] Time 0.203 (0.210) Data 0.056 (0.048) Loss 2.2329 (2.2705) Prec@1 52.734 (47.949) Prec@5 75.391 (73.210)
Epoch: [75][3750/5005] Time 0.201 (0.210) Data 0.056 (0.048) Loss 2.2037 (2.2706) Prec@1 48.047 (47.948) Prec@5 76.953 (73.211)
Epoch: [75][3760/5005] Time 0.209 (0.210) Data 0.058 (0.048) Loss 2.2836 (2.2706) Prec@1 47.656 (47.949) Prec@5 72.656 (73.213)
Epoch: [75][3770/5005] Time 0.205 (0.210) Data 0.042 (0.048) Loss 2.3149 (2.2704) Prec@1 48.438 (47.950) Prec@5 71.484 (73.215)
Epoch: [75][3780/5005] Time 0.195 (0.210) Data 0.064 (0.048) Loss 2.1847 (2.2703) Prec@1 45.703 (47.952) Prec@5 74.609 (73.218)
Epoch: [75][3790/5005] Time 0.213 (0.210) Data 0.045 (0.048) Loss 2.3862 (2.2703) Prec@1 47.656 (47.949) Prec@5 72.656 (73.219)
Epoch: [75][3800/5005] Time 0.214 (0.210) Data 0.048 (0.048) Loss 2.2427 (2.2705) Prec@1 49.609 (47.946) Prec@5 73.828 (73.215)
Epoch: [75][3810/5005] Time 0.214 (0.210) Data 0.045 (0.048) Loss 2.2519 (2.2706) Prec@1 48.828 (47.944) Prec@5 73.828 (73.217)
Epoch: [75][3820/5005] Time 0.207 (0.210) Data 0.047 (0.048) Loss 2.2775 (2.2704) Prec@1 46.094 (47.946) Prec@5 73.828 (73.221)
Epoch: [75][3830/5005] Time 0.201 (0.210) Data 0.040 (0.048) Loss 2.1517 (2.2701) Prec@1 48.047 (47.951) Prec@5 77.344 (73.229)
Epoch: [75][3840/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.5633 (2.2702) Prec@1 40.234 (47.947) Prec@5 68.750 (73.223)
Epoch: [75][3850/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.3006 (2.2702) Prec@1 49.609 (47.947) Prec@5 74.219 (73.225)
Epoch: [75][3860/5005] Time 0.206 (0.210) Data 0.039 (0.048) Loss 2.0324 (2.2702) Prec@1 53.125 (47.948) Prec@5 78.125 (73.225)
Epoch: [75][3870/5005] Time 0.207 (0.210) Data 0.043 (0.048) Loss 2.2161 (2.2701) Prec@1 46.484 (47.949) Prec@5 74.219 (73.226)
Epoch: [75][3880/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.0498 (2.2700) Prec@1 52.344 (47.950) Prec@5 76.562 (73.228)
Epoch: [75][3890/5005] Time 0.212 (0.210) Data 0.046 (0.048) Loss 2.3624 (2.2700) Prec@1 45.703 (47.948) Prec@5 73.047 (73.230)
Epoch: [75][3900/5005] Time 0.214 (0.210) Data 0.044 (0.048) Loss 2.4742 (2.2700) Prec@1 44.531 (47.947) Prec@5 69.141 (73.230)
Epoch: [75][3910/5005] Time 0.201 (0.210) Data 0.044 (0.048) Loss 2.2877 (2.2699) Prec@1 48.828 (47.950) Prec@5 71.484 (73.231)
Epoch: [75][3920/5005] Time 0.200 (0.210) Data 0.046 (0.048) Loss 2.3344 (2.2699) Prec@1 48.438 (47.949) Prec@5 71.484 (73.230)
Epoch: [75][3930/5005] Time 0.198 (0.210) Data 0.039 (0.048) Loss 2.1803 (2.2697) Prec@1 52.344 (47.955) Prec@5 71.875 (73.234)
Epoch: [75][3940/5005] Time 0.206 (0.210) Data 0.053 (0.048) Loss 2.2365 (2.2696) Prec@1 46.875 (47.954) Prec@5 75.781 (73.236)
Epoch: [75][3950/5005] Time 0.197 (0.210) Data 0.044 (0.048) Loss 2.1452 (2.2693) Prec@1 50.000 (47.959) Prec@5 76.172 (73.242)
Epoch: [75][3960/5005] Time 0.207 (0.210) Data 0.041 (0.048) Loss 2.2115 (2.2692) Prec@1 43.750 (47.961) Prec@5 76.953 (73.246)
Epoch: [75][3970/5005] Time 0.204 (0.210) Data 0.041 (0.048) Loss 2.2891 (2.2691) Prec@1 48.047 (47.962) Prec@5 73.047 (73.248)
Epoch: [75][3980/5005] Time 0.201 (0.210) Data 0.048 (0.048) Loss 2.1206 (2.2692) Prec@1 50.000 (47.960) Prec@5 74.609 (73.246)
Epoch: [75][3990/5005] Time 0.207 (0.210) Data 0.053 (0.048) Loss 2.3507 (2.2692) Prec@1 46.875 (47.960) Prec@5 69.922 (73.248)
Epoch: [75][4000/5005] Time 0.210 (0.210) Data 0.042 (0.048) Loss 2.1217 (2.2691) Prec@1 47.656 (47.959) Prec@5 76.953 (73.249)
Epoch: [75][4010/5005] Time 0.214 (0.210) Data 0.042 (0.048) Loss 2.3756 (2.2690) Prec@1 45.703 (47.963) Prec@5 73.047 (73.253)
Epoch: [75][4020/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.4853 (2.2690) Prec@1 44.141 (47.961) Prec@5 66.797 (73.254)
Epoch: [75][4030/5005] Time 0.213 (0.210) Data 0.047 (0.048) Loss 2.4271 (2.2692) Prec@1 45.312 (47.962) Prec@5 70.703 (73.251)
Epoch: [75][4040/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.3384 (2.2693) Prec@1 46.094 (47.960) Prec@5 70.703 (73.250)
Epoch: [75][4050/5005] Time 0.214 (0.210) Data 0.043 (0.048) Loss 2.3801 (2.2693) Prec@1 45.312 (47.962) Prec@5 72.266 (73.251)
Epoch: [75][4060/5005] Time 0.208 (0.210) Data 0.046 (0.048) Loss 2.3488 (2.2693) Prec@1 44.531 (47.958) Prec@5 71.875 (73.253)
Epoch: [75][4070/5005] Time 0.204 (0.210) Data 0.054 (0.048) Loss 2.4265 (2.2693) Prec@1 48.438 (47.957) Prec@5 70.312 (73.252)
Epoch: [75][4080/5005] Time 0.205 (0.210) Data 0.051 (0.048) Loss 2.1994 (2.2693) Prec@1 45.312 (47.955) Prec@5 75.000 (73.251)
Epoch: [75][4090/5005] Time 0.199 (0.210) Data 0.044 (0.048) Loss 2.4052 (2.2692) Prec@1 47.656 (47.957) Prec@5 70.703 (73.253)
Epoch: [75][4100/5005] Time 0.194 (0.210) Data 0.049 (0.048) Loss 2.2068 (2.2690) Prec@1 46.875 (47.961) Prec@5 73.047 (73.255)
Epoch: [75][4110/5005] Time 0.207 (0.210) Data 0.045 (0.048) Loss 2.3502 (2.2690) Prec@1 47.266 (47.963) Prec@5 70.703 (73.254)
Epoch: [75][4120/5005] Time 0.216 (0.210) Data 0.047 (0.048) Loss 2.2001 (2.2688) Prec@1 50.391 (47.967) Prec@5 74.219 (73.254)
Epoch: [75][4130/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.4344 (2.2687) Prec@1 44.141 (47.971) Prec@5 69.141 (73.256)
Epoch: [75][4140/5005] Time 0.200 (0.210) Data 0.044 (0.048) Loss 2.4113 (2.2686) Prec@1 46.094 (47.969) Prec@5 69.922 (73.258)
Epoch: [75][4150/5005] Time 0.201 (0.210) Data 0.046 (0.048) Loss 2.5320 (2.2686) Prec@1 45.312 (47.969) Prec@5 67.578 (73.259)
Epoch: [75][4160/5005] Time 0.208 (0.210) Data 0.052 (0.048) Loss 2.1422 (2.2687) Prec@1 48.438 (47.965) Prec@5 75.000 (73.259)
Epoch: [75][4170/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.1847 (2.2685) Prec@1 44.922 (47.968) Prec@5 74.219 (73.261)
Epoch: [75][4180/5005] Time 0.205 (0.210) Data 0.043 (0.048) Loss 2.1850 (2.2684) Prec@1 52.734 (47.972) Prec@5 72.656 (73.261)
Epoch: [75][4190/5005] Time 0.215 (0.210) Data 0.044 (0.048) Loss 2.1396 (2.2685) Prec@1 47.656 (47.971) Prec@5 74.609 (73.259)
Epoch: [75][4200/5005] Time 0.199 (0.210) Data 0.057 (0.048) Loss 2.1357 (2.2684) Prec@1 48.828 (47.969) Prec@5 77.344 (73.262)
Epoch: [75][4210/5005] Time 0.197 (0.210) Data 0.061 (0.048) Loss 2.0918 (2.2684) Prec@1 53.516 (47.970) Prec@5 78.516 (73.263)
Epoch: [75][4220/5005] Time 0.207 (0.210) Data 0.060 (0.048) Loss 2.3782 (2.2686) Prec@1 46.875 (47.967) Prec@5 67.969 (73.260)
Epoch: [75][4230/5005] Time 0.208 (0.210) Data 0.046 (0.048) Loss 2.3182 (2.2686) Prec@1 46.484 (47.967) Prec@5 71.094 (73.260)
Epoch: [75][4240/5005] Time 0.211 (0.210) Data 0.045 (0.048) Loss 2.1092 (2.2686) Prec@1 50.000 (47.964) Prec@5 76.953 (73.260)
Epoch: [75][4250/5005] Time 0.208 (0.210) Data 0.050 (0.048) Loss 2.1563 (2.2685) Prec@1 50.000 (47.965) Prec@5 76.172 (73.262)
Epoch: [75][4260/5005] Time 0.208 (0.210) Data 0.050 (0.048) Loss 2.3013 (2.2685) Prec@1 45.312 (47.965) Prec@5 72.266 (73.260)
Epoch: [75][4270/5005] Time 0.203 (0.210) Data 0.048 (0.048) Loss 2.5186 (2.2686) Prec@1 48.828 (47.966) Prec@5 72.656 (73.260)
Epoch: [75][4280/5005] Time 0.216 (0.210) Data 0.044 (0.048) Loss 2.4444 (2.2685) Prec@1 47.656 (47.967) Prec@5 68.359 (73.258)
Epoch: [75][4290/5005] Time 0.210 (0.210) Data 0.048 (0.048) Loss 2.3791 (2.2685) Prec@1 46.484 (47.968) Prec@5 70.703 (73.256)
Epoch: [75][4300/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.0325 (2.2684) Prec@1 51.562 (47.971) Prec@5 78.516 (73.260)
Epoch: [75][4310/5005] Time 0.220 (0.210) Data 0.046 (0.048) Loss 2.2639 (2.2684) Prec@1 48.047 (47.972) Prec@5 74.609 (73.260)
Epoch: [75][4320/5005] Time 0.203 (0.210) Data 0.050 (0.048) Loss 2.3305 (2.2684) Prec@1 50.000 (47.974) Prec@5 75.391 (73.260)
Epoch: [75][4330/5005] Time 0.205 (0.210) Data 0.041 (0.048) Loss 2.2393 (2.2683) Prec@1 45.703 (47.977) Prec@5 73.828 (73.260)
Epoch: [75][4340/5005] Time 0.219 (0.210) Data 0.044 (0.048) Loss 2.3479 (2.2684) Prec@1 46.094 (47.975) Prec@5 71.094 (73.261)
Epoch: [75][4350/5005] Time 0.202 (0.210) Data 0.044 (0.048) Loss 2.2589 (2.2683) Prec@1 50.391 (47.975) Prec@5 75.000 (73.261)
Epoch: [75][4360/5005] Time 0.203 (0.210) Data 0.046 (0.048) Loss 2.1207 (2.2682) Prec@1 48.438 (47.975) Prec@5 77.734 (73.264)
Epoch: [75][4370/5005] Time 0.199 (0.210) Data 0.040 (0.048) Loss 2.1741 (2.2682) Prec@1 47.266 (47.976) Prec@5 76.953 (73.264)
Epoch: [75][4380/5005] Time 0.217 (0.210) Data 0.044 (0.048) Loss 2.3369 (2.2682) Prec@1 44.531 (47.978) Prec@5 76.562 (73.267)
Epoch: [75][4390/5005] Time 0.209 (0.210) Data 0.041 (0.048) Loss 2.3032 (2.2680) Prec@1 50.391 (47.983) Prec@5 74.219 (73.269)
Epoch: [75][4400/5005] Time 0.209 (0.210) Data 0.045 (0.048) Loss 2.0647 (2.2679) Prec@1 51.953 (47.986) Prec@5 75.391 (73.270)
Epoch: [75][4410/5005] Time 0.212 (0.210) Data 0.041 (0.048) Loss 2.1100 (2.2677) Prec@1 47.266 (47.985) Prec@5 76.172 (73.273)
Epoch: [75][4420/5005] Time 0.197 (0.210) Data 0.058 (0.048) Loss 1.9704 (2.2675) Prec@1 55.469 (47.990) Prec@5 79.688 (73.276)
Epoch: [75][4430/5005] Time 0.218 (0.210) Data 0.046 (0.048) Loss 2.3402 (2.2673) Prec@1 44.922 (47.997) Prec@5 71.875 (73.279)
Epoch: [75][4440/5005] Time 0.205 (0.210) Data 0.041 (0.048) Loss 2.4121 (2.2673) Prec@1 48.047 (48.000) Prec@5 70.703 (73.280)
Epoch: [75][4450/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.0561 (2.2673) Prec@1 50.781 (48.002) Prec@5 78.125 (73.281)
Epoch: [75][4460/5005] Time 0.210 (0.210) Data 0.041 (0.048) Loss 2.2884 (2.2672) Prec@1 47.656 (48.002) Prec@5 72.266 (73.282)
Epoch: [75][4470/5005] Time 0.211 (0.210) Data 0.047 (0.048) Loss 2.1787 (2.2673) Prec@1 46.094 (48.003) Prec@5 75.000 (73.282)
Epoch: [75][4480/5005] Time 0.206 (0.210) Data 0.047 (0.048) Loss 2.0712 (2.2674) Prec@1 48.438 (48.000) Prec@5 75.781 (73.277)
Epoch: [75][4490/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.2866 (2.2675) Prec@1 46.875 (47.999) Prec@5 72.656 (73.273)
Epoch: [75][4500/5005] Time 0.212 (0.210) Data 0.042 (0.048) Loss 2.1786 (2.2674) Prec@1 51.953 (48.000) Prec@5 74.609 (73.276)
Epoch: [75][4510/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.1253 (2.2675) Prec@1 51.562 (47.998) Prec@5 77.734 (73.275)
Epoch: [75][4520/5005] Time 0.210 (0.210) Data 0.042 (0.048) Loss 2.1032 (2.2673) Prec@1 51.172 (48.002) Prec@5 77.734 (73.277)
Epoch: [75][4530/5005] Time 0.204 (0.210) Data 0.041 (0.048) Loss 2.2460 (2.2673) Prec@1 45.703 (48.004) Prec@5 76.562 (73.277)
Epoch: [75][4540/5005] Time 0.209 (0.210) Data 0.048 (0.048) Loss 2.4631 (2.2674) Prec@1 48.047 (48.005) Prec@5 71.875 (73.276)
Epoch: [75][4550/5005] Time 0.199 (0.210) Data 0.047 (0.048) Loss 2.3560 (2.2673) Prec@1 48.828 (48.007) Prec@5 70.312 (73.276)
Epoch: [75][4560/5005] Time 0.199 (0.210) Data 0.048 (0.048) Loss 2.2401 (2.2672) Prec@1 47.656 (48.008) Prec@5 75.000 (73.278)
Epoch: [75][4570/5005] Time 0.208 (0.210) Data 0.043 (0.048) Loss 2.2468 (2.2670) Prec@1 46.875 (48.012) Prec@5 70.703 (73.281)
Epoch: [75][4580/5005] Time 0.210 (0.210) Data 0.046 (0.048) Loss 2.3095 (2.2669) Prec@1 48.828 (48.013) Prec@5 70.312 (73.281)
Epoch: [75][4590/5005] Time 0.207 (0.210) Data 0.046 (0.048) Loss 2.0879 (2.2670) Prec@1 51.562 (48.013) Prec@5 75.781 (73.281)
Epoch: [75][4600/5005] Time 0.203 (0.210) Data 0.046 (0.048) Loss 1.9797 (2.2670) Prec@1 53.516 (48.014) Prec@5 78.516 (73.280)
Epoch: [75][4610/5005] Time 0.214 (0.210) Data 0.043 (0.048) Loss 2.1118 (2.2669) Prec@1 49.219 (48.017) Prec@5 76.562 (73.282)
Epoch: [75][4620/5005] Time 0.208 (0.210) Data 0.044 (0.048) Loss 2.1104 (2.2668) Prec@1 49.609 (48.021) Prec@5 76.953 (73.282)
Epoch: [75][4630/5005] Time 0.201 (0.210) Data 0.043 (0.048) Loss 2.1074 (2.2667) Prec@1 50.781 (48.022) Prec@5 77.344 (73.286)
Epoch: [75][4640/5005] Time 0.200 (0.210) Data 0.062 (0.048) Loss 2.3744 (2.2667) Prec@1 45.312 (48.023) Prec@5 71.094 (73.287)
Epoch: [75][4650/5005] Time 0.202 (0.210) Data 0.049 (0.048) Loss 2.2429 (2.2666) Prec@1 50.000 (48.024) Prec@5 70.312 (73.288)
Epoch: [75][4660/5005] Time 0.208 (0.210) Data 0.048 (0.048) Loss 2.6843 (2.2666) Prec@1 41.406 (48.023) Prec@5 64.062 (73.288)
Epoch: [75][4670/5005] Time 0.206 (0.210) Data 0.049 (0.048) Loss 2.1117 (2.2665) Prec@1 52.734 (48.023) Prec@5 74.219 (73.290)
Epoch: [75][4680/5005] Time 0.198 (0.210) Data 0.056 (0.048) Loss 2.1420 (2.2664) Prec@1 48.047 (48.026) Prec@5 76.953 (73.292)
Epoch: [75][4690/5005] Time 0.214 (0.210) Data 0.041 (0.048) Loss 2.1948 (2.2664) Prec@1 47.656 (48.023) Prec@5 73.047 (73.292)
Epoch: [75][4700/5005] Time 0.224 (0.210) Data 0.042 (0.048) Loss 2.1652 (2.2664) Prec@1 46.875 (48.023) Prec@5 77.344 (73.295)
Epoch: [75][4710/5005] Time 0.222 (0.210) Data 0.048 (0.048) Loss 2.1938 (2.2662) Prec@1 51.562 (48.026) Prec@5 74.609 (73.297)
Epoch: [75][4720/5005] Time 0.207 (0.210) Data 0.041 (0.048) Loss 2.1153 (2.2662) Prec@1 49.219 (48.026) Prec@5 76.562 (73.298)
Epoch: [75][4730/5005] Time 0.197 (0.210) Data 0.042 (0.048) Loss 2.2313 (2.2663) Prec@1 46.875 (48.024) Prec@5 74.609 (73.297)
Epoch: [75][4740/5005] Time 0.212 (0.210) Data 0.042 (0.048) Loss 2.1597 (2.2662) Prec@1 48.047 (48.026) Prec@5 77.344 (73.298)
Epoch: [75][4750/5005] Time 0.207 (0.209) Data 0.046 (0.048) Loss 2.1777 (2.2661) Prec@1 51.562 (48.028) Prec@5 73.047 (73.300)
Epoch: [75][4760/5005] Time 0.206 (0.209) Data 0.044 (0.048) Loss 2.5127 (2.2660) Prec@1 44.531 (48.031) Prec@5 69.141 (73.302)
Epoch: [75][4770/5005] Time 0.208 (0.209) Data 0.043 (0.048) Loss 2.0954 (2.2659) Prec@1 52.734 (48.031) Prec@5 76.172 (73.303)
Epoch: [75][4780/5005] Time 0.221 (0.209) Data 0.044 (0.048) Loss 2.2905 (2.2659) Prec@1 48.438 (48.032) Prec@5 72.266 (73.303)
Epoch: [75][4790/5005] Time 0.194 (0.209) Data 0.051 (0.048) Loss 2.3696 (2.2659) Prec@1 45.703 (48.033) Prec@5 69.141 (73.302)
Epoch: [75][4800/5005] Time 0.206 (0.209) Data 0.054 (0.048) Loss 2.3589 (2.2658) Prec@1 45.312 (48.035) Prec@5 72.266 (73.304)
Epoch: [75][4810/5005] Time 0.207 (0.209) Data 0.044 (0.048) Loss 2.3703 (2.2657) Prec@1 48.828 (48.038) Prec@5 73.828 (73.306)
Epoch: [75][4820/5005] Time 0.218 (0.209) Data 0.042 (0.048) Loss 2.4027 (2.2656) Prec@1 44.531 (48.039) Prec@5 69.922 (73.306)
Epoch: [75][4830/5005] Time 0.203 (0.209) Data 0.049 (0.048) Loss 2.2587 (2.2654) Prec@1 46.875 (48.041) Prec@5 73.047 (73.308)
Epoch: [75][4840/5005] Time 0.195 (0.209) Data 0.050 (0.048) Loss 2.0399 (2.2655) Prec@1 50.391 (48.041) Prec@5 76.172 (73.306)
Epoch: [75][4850/5005] Time 0.207 (0.209) Data 0.047 (0.048) Loss 2.2445 (2.2656) Prec@1 47.656 (48.041) Prec@5 73.047 (73.304)
Epoch: [75][4860/5005] Time 0.202 (0.209) Data 0.049 (0.048) Loss 2.2531 (2.2656) Prec@1 45.312 (48.039) Prec@5 73.438 (73.305)
Epoch: [75][4870/5005] Time 0.210 (0.209) Data 0.049 (0.048) Loss 2.2692 (2.2656) Prec@1 46.875 (48.042) Prec@5 71.094 (73.303)
Epoch: [75][4880/5005] Time 0.195 (0.209) Data 0.047 (0.048) Loss 2.2499 (2.2655) Prec@1 48.828 (48.043) Prec@5 71.484 (73.302)
Epoch: [75][4890/5005] Time 0.215 (0.209) Data 0.042 (0.048) Loss 2.2924 (2.2655) Prec@1 46.875 (48.043) Prec@5 72.266 (73.304)
Epoch: [75][4900/5005] Time 0.190 (0.209) Data 0.068 (0.048) Loss 2.1969 (2.2654) Prec@1 48.828 (48.046) Prec@5 76.172 (73.306)
Epoch: [75][4910/5005] Time 0.205 (0.209) Data 0.042 (0.048) Loss 2.2399 (2.2652) Prec@1 47.656 (48.048) Prec@5 77.344 (73.310)
Epoch: [75][4920/5005] Time 0.216 (0.209) Data 0.042 (0.048) Loss 2.1330 (2.2652) Prec@1 48.438 (48.048) Prec@5 73.828 (73.309)
Epoch: [75][4930/5005] Time 0.205 (0.209) Data 0.052 (0.048) Loss 2.4446 (2.2651) Prec@1 42.969 (48.050) Prec@5 67.969 (73.311)
Epoch: [75][4940/5005] Time 0.208 (0.209) Data 0.046 (0.048) Loss 2.2226 (2.2651) Prec@1 50.781 (48.051) Prec@5 75.000 (73.311)
Epoch: [75][4950/5005] Time 0.214 (0.209) Data 0.044 (0.048) Loss 1.9351 (2.2651) Prec@1 51.172 (48.049) Prec@5 81.250 (73.312)
Epoch: [75][4960/5005] Time 0.207 (0.209) Data 0.044 (0.048) Loss 2.4258 (2.2650) Prec@1 45.703 (48.051) Prec@5 70.312 (73.313)
Epoch: [75][4970/5005] Time 0.214 (0.209) Data 0.049 (0.048) Loss 2.3851 (2.2649) Prec@1 46.484 (48.053) Prec@5 71.875 (73.313)
Epoch: [75][4980/5005] Time 0.211 (0.209) Data 0.056 (0.048) Loss 2.3080 (2.2647) Prec@1 46.875 (48.055) Prec@5 72.266 (73.316)
Epoch: [75][4990/5005] Time 0.200 (0.209) Data 0.025 (0.048) Loss 2.4174 (2.2648) Prec@1 41.797 (48.055) Prec@5 68.359 (73.314)
Epoch: [75][5000/5005] Time 0.205 (0.209) Data 0.021 (0.048) Loss 2.2643 (2.2647) Prec@1 44.141 (48.055) Prec@5 74.219 (73.313)
Test: [0/196] Time 1.540 (1.540) Loss 2.3844 (2.3844) Prec@1 50.000 (50.000) Prec@5 70.703 (70.703)
Test: [10/196] Time 0.043 (0.318) Loss 2.4315 (2.5198) Prec@1 48.828 (44.744) Prec@5 72.656 (69.993)
Test: [20/196] Time 0.044 (0.226) Loss 2.4134 (2.5255) Prec@1 44.922 (44.159) Prec@5 72.656 (69.550)
Test: [30/196] Time 0.253 (0.224) Loss 2.4042 (2.5279) Prec@1 44.922 (44.052) Prec@5 73.438 (69.670)
Test: [40/196] Time 0.044 (0.208) Loss 2.2695 (2.5214) Prec@1 53.516 (44.484) Prec@5 74.609 (69.827)
Test: [50/196] Time 0.043 (0.200) Loss 2.5815 (2.5236) Prec@1 44.922 (44.447) Prec@5 69.141 (69.907)
Test: [60/196] Time 0.192 (0.192) Loss 2.4753 (2.5096) Prec@1 46.875 (44.685) Prec@5 71.094 (70.114)
Test: [70/196] Time 0.365 (0.196) Loss 2.4892 (2.5045) Prec@1 43.359 (44.630) Prec@5 68.359 (70.026)
Test: [80/196] Time 0.043 (0.192) Loss 2.3209 (2.5096) Prec@1 51.562 (44.623) Prec@5 75.391 (69.825)
Test: [90/196] Time 0.045 (0.189) Loss 2.6310 (2.5121) Prec@1 43.750 (44.630) Prec@5 69.531 (69.793)
Test: [100/196] Time 0.493 (0.189) Loss 2.5576 (2.5089) Prec@1 45.312 (44.883) Prec@5 67.969 (69.829)
Test: [110/196] Time 0.337 (0.186) Loss 2.7121 (2.5105) Prec@1 41.016 (44.890) Prec@5 67.188 (69.841)
Test: [120/196] Time 0.050 (0.189) Loss 2.3387 (2.5082) Prec@1 47.266 (44.964) Prec@5 72.656 (69.861)
Test: [130/196] Time 0.044 (0.187) Loss 2.2037 (2.5036) Prec@1 50.781 (45.056) Prec@5 73.828 (69.958)
Test: [140/196] Time 0.042 (0.185) Loss 2.2934 (2.5052) Prec@1 49.609 (44.999) Prec@5 72.266 (69.866)
Test: [150/196] Time 0.048 (0.183) Loss 2.1171 (2.5040) Prec@1 49.219 (44.989) Prec@5 79.297 (69.927)
Test: [160/196] Time 0.266 (0.184) Loss 2.4543 (2.5032) Prec@1 48.047 (44.958) Prec@5 70.703 (69.929)
Test: [170/196] Time 0.045 (0.182) Loss 2.3510 (2.5044) Prec@1 46.484 (45.004) Prec@5 73.828 (69.910)
Test: [180/196] Time 0.048 (0.181) Loss 2.6526 (2.5085) Prec@1 40.234 (44.931) Prec@5 69.141 (69.799)
Test: [190/196] Time 0.049 (0.180) Loss 2.7488 (2.5120) Prec@1 42.969 (44.852) Prec@5 63.672 (69.664)
* Prec@1 44.850 Prec@5 69.680
Learning rate: 1e-06
Epoch: [76][0/5005] Time 1.138 (1.138) Data 1.046 (1.046) Loss 2.1770 (2.1770) Prec@1 46.875 (46.875) Prec@5 78.516 (78.516)
Epoch: [76][10/5005] Time 0.205 (0.288) Data 0.048 (0.139) Loss 2.2449 (2.2864) Prec@1 49.219 (47.337) Prec@5 72.656 (73.580)
Epoch: [76][20/5005] Time 0.205 (0.247) Data 0.047 (0.098) Loss 2.3657 (2.2837) Prec@1 46.484 (47.042) Prec@5 70.312 (73.326)
Epoch: [76][30/5005] Time 0.206 (0.233) Data 0.052 (0.084) Loss 2.1387 (2.2502) Prec@1 48.828 (47.568) Prec@5 75.000 (73.589)
Epoch: [76][40/5005] Time 0.207 (0.226) Data 0.043 (0.075) Loss 2.1909 (2.2632) Prec@1 49.219 (47.389) Prec@5 73.828 (73.428)
Epoch: [76][50/5005] Time 0.204 (0.221) Data 0.053 (0.070) Loss 2.2075 (2.2623) Prec@1 49.609 (47.526) Prec@5 74.609 (73.399)
Epoch: [76][60/5005] Time 0.204 (0.218) Data 0.059 (0.067) Loss 2.1093 (2.2596) Prec@1 50.391 (47.643) Prec@5 78.125 (73.546)
Epoch: [76][70/5005] Time 0.208 (0.216) Data 0.043 (0.065) Loss 2.1867 (2.2692) Prec@1 48.828 (47.535) Prec@5 74.219 (73.404)
Epoch: [76][80/5005] Time 0.203 (0.214) Data 0.046 (0.063) Loss 2.1609 (2.2644) Prec@1 51.953 (47.729) Prec@5 76.172 (73.500)
Epoch: [76][90/5005] Time 0.204 (0.213) Data 0.048 (0.061) Loss 2.3790 (2.2613) Prec@1 47.266 (47.931) Prec@5 74.219 (73.541)
Epoch: [76][100/5005] Time 0.205 (0.212) Data 0.043 (0.060) Loss 2.1155 (2.2631) Prec@1 50.781 (48.000) Prec@5 76.172 (73.480)
Epoch: [76][110/5005] Time 0.199 (0.211) Data 0.050 (0.059) Loss 2.4434 (2.2662) Prec@1 47.656 (47.973) Prec@5 71.484 (73.452)
Epoch: [76][120/5005] Time 0.205 (0.210) Data 0.064 (0.058) Loss 2.3729 (2.2718) Prec@1 44.141 (47.879) Prec@5 65.625 (73.257)
Epoch: [76][130/5005] Time 0.191 (0.210) Data 0.054 (0.057) Loss 2.4464 (2.2696) Prec@1 48.047 (47.892) Prec@5 69.531 (73.288)
Epoch: [76][140/5005] Time 0.209 (0.209) Data 0.042 (0.056) Loss 2.4073 (2.2687) Prec@1 44.531 (47.853) Prec@5 70.312 (73.341)
Epoch: [76][150/5005] Time 0.201 (0.209) Data 0.057 (0.056) Loss 2.3945 (2.2714) Prec@1 44.531 (47.874) Prec@5 71.875 (73.316)
Epoch: [76][160/5005] Time 0.202 (0.208) Data 0.042 (0.055) Loss 2.1703 (2.2729) Prec@1 49.219 (47.935) Prec@5 77.344 (73.302)
Epoch: [76][170/5005] Time 0.211 (0.208) Data 0.048 (0.055) Loss 2.2954 (2.2727) Prec@1 45.312 (47.871) Prec@5 73.828 (73.332)
Epoch: [76][180/5005] Time 0.215 (0.209) Data 0.052 (0.055) Loss 2.4584 (2.2720) Prec@1 44.531 (47.859) Prec@5 69.531 (73.314)
Epoch: [76][190/5005] Time 0.219 (0.209) Data 0.052 (0.055) Loss 2.3059 (2.2765) Prec@1 48.047 (47.763) Prec@5 74.219 (73.239)
Epoch: [76][200/5005] Time 0.223 (0.210) Data 0.049 (0.055) Loss 2.5175 (2.2791) Prec@1 44.922 (47.652) Prec@5 69.922 (73.181)
Epoch: [76][210/5005] Time 0.218 (0.210) Data 0.056 (0.055) Loss 2.1890 (2.2782) Prec@1 48.438 (47.680) Prec@5 74.219 (73.134)
Epoch: [76][220/5005] Time 0.218 (0.211) Data 0.051 (0.055) Loss 2.4155 (2.2769) Prec@1 44.922 (47.743) Prec@5 72.656 (73.172)
Epoch: [76][230/5005] Time 0.214 (0.211) Data 0.059 (0.055) Loss 2.2537 (2.2769) Prec@1 48.438 (47.790) Prec@5 73.047 (73.218)
Epoch: [76][240/5005] Time 0.223 (0.211) Data 0.044 (0.055) Loss 2.2852 (2.2753) Prec@1 48.438 (47.815) Prec@5 73.438 (73.230)
Epoch: [76][250/5005] Time 0.215 (0.212) Data 0.045 (0.054) Loss 2.2959 (2.2741) Prec@1 46.875 (47.874) Prec@5 74.219 (73.279)
Epoch: [76][260/5005] Time 0.207 (0.212) Data 0.044 (0.054) Loss 2.0496 (2.2728) Prec@1 50.391 (47.921) Prec@5 76.953 (73.289)
Epoch: [76][270/5005] Time 0.212 (0.212) Data 0.047 (0.054) Loss 2.1676 (2.2715) Prec@1 48.047 (47.937) Prec@5 74.609 (73.305)
Epoch: [76][280/5005] Time 0.217 (0.212) Data 0.052 (0.054) Loss 2.5716 (2.2744) Prec@1 43.359 (47.900) Prec@5 69.531 (73.261)
Epoch: [76][290/5005] Time 0.216 (0.212) Data 0.063 (0.054) Loss 2.1757 (2.2760) Prec@1 52.344 (47.859) Prec@5 73.047 (73.227)
Epoch: [76][300/5005] Time 0.216 (0.212) Data 0.051 (0.054) Loss 2.1423 (2.2761) Prec@1 51.562 (47.873) Prec@5 74.609 (73.214)
Epoch: [76][310/5005] Time 0.203 (0.212) Data 0.051 (0.054) Loss 2.1516 (2.2748) Prec@1 51.172 (47.934) Prec@5 76.953 (73.223)
Epoch: [76][320/5005] Time 0.205 (0.212) Data 0.055 (0.054) Loss 2.5445 (2.2769) Prec@1 41.406 (47.897) Prec@5 71.094 (73.192)
Epoch: [76][330/5005] Time 0.213 (0.212) Data 0.043 (0.053) Loss 1.9920 (2.2745) Prec@1 52.344 (47.936) Prec@5 79.297 (73.238)
Epoch: [76][340/5005] Time 0.213 (0.212) Data 0.047 (0.053) Loss 2.4712 (2.2779) Prec@1 48.047 (47.896) Prec@5 73.047 (73.171)
Epoch: [76][350/5005] Time 0.211 (0.212) Data 0.044 (0.053) Loss 2.4688 (2.2774) Prec@1 46.875 (47.882) Prec@5 67.188 (73.167)
Epoch: [76][360/5005] Time 0.210 (0.212) Data 0.046 (0.053) Loss 2.3327 (2.2773) Prec@1 43.359 (47.892) Prec@5 70.703 (73.117)
Epoch: [76][370/5005] Time 0.214 (0.212) Data 0.047 (0.053) Loss 2.4027 (2.2767) Prec@1 46.484 (47.910) Prec@5 69.531 (73.109)
Epoch: [76][380/5005] Time 0.209 (0.212) Data 0.042 (0.053) Loss 2.4467 (2.2772) Prec@1 43.359 (47.903) Prec@5 70.703 (73.115)
Epoch: [76][390/5005] Time 0.211 (0.212) Data 0.042 (0.053) Loss 2.2204 (2.2783) Prec@1 49.219 (47.888) Prec@5 70.312 (73.092)
Epoch: [76][400/5005] Time 0.208 (0.212) Data 0.040 (0.052) Loss 2.0625 (2.2770) Prec@1 48.047 (47.885) Prec@5 77.344 (73.104)
Epoch: [76][410/5005] Time 0.209 (0.212) Data 0.042 (0.052) Loss 2.0589 (2.2763) Prec@1 50.391 (47.890) Prec@5 76.172 (73.122)
Epoch: [76][420/5005] Time 0.212 (0.212) Data 0.051 (0.052) Loss 2.0924 (2.2759) Prec@1 49.609 (47.916) Prec@5 76.953 (73.132)
Epoch: [76][430/5005] Time 0.213 (0.212) Data 0.051 (0.052) Loss 2.2474 (2.2757) Prec@1 48.047 (47.905) Prec@5 74.219 (73.128)
Epoch: [76][440/5005] Time 0.215 (0.212) Data 0.047 (0.052) Loss 2.2347 (2.2750) Prec@1 49.609 (47.930) Prec@5 76.562 (73.163)
Epoch: [76][450/5005] Time 0.211 (0.212) Data 0.046 (0.052) Loss 2.2345 (2.2754) Prec@1 46.875 (47.894) Prec@5 72.266 (73.147)
Epoch: [76][460/5005] Time 0.204 (0.212) Data 0.050 (0.052) Loss 2.2319 (2.2758) Prec@1 46.875 (47.871) Prec@5 74.609 (73.138)
Epoch: [76][470/5005] Time 0.196 (0.212) Data 0.051 (0.052) Loss 2.1889 (2.2766) Prec@1 49.609 (47.856) Prec@5 75.000 (73.125)
Epoch: [76][480/5005] Time 0.208 (0.212) Data 0.052 (0.052) Loss 2.2265 (2.2759) Prec@1 51.562 (47.892) Prec@5 70.312 (73.130)
Epoch: [76][490/5005] Time 0.205 (0.212) Data 0.052 (0.052) Loss 2.2441 (2.2766) Prec@1 50.000 (47.866) Prec@5 73.828 (73.125)
Epoch: [76][500/5005] Time 0.215 (0.212) Data 0.043 (0.052) Loss 2.3726 (2.2787) Prec@1 48.438 (47.844) Prec@5 69.141 (73.084)
Epoch: [76][510/5005] Time 0.215 (0.212) Data 0.042 (0.052) Loss 2.6663 (2.2802) Prec@1 41.406 (47.830) Prec@5 62.109 (73.056)
Epoch: [76][520/5005] Time 0.206 (0.212) Data 0.056 (0.052) Loss 2.2405 (2.2797) Prec@1 46.875 (47.817) Prec@5 73.047 (73.063)
Epoch: [76][530/5005] Time 0.206 (0.212) Data 0.047 (0.052) Loss 2.3116 (2.2799) Prec@1 47.656 (47.814) Prec@5 71.484 (73.059)
Epoch: [76][540/5005] Time 0.211 (0.212) Data 0.048 (0.052) Loss 2.4189 (2.2805) Prec@1 46.484 (47.804) Prec@5 70.312 (73.040)
Epoch: [76][550/5005] Time 0.217 (0.212) Data 0.043 (0.052) Loss 2.3045 (2.2801) Prec@1 47.266 (47.814) Prec@5 74.219 (73.047)
Epoch: [76][560/5005] Time 0.209 (0.212) Data 0.040 (0.051) Loss 2.3774 (2.2804) Prec@1 48.047 (47.810) Prec@5 72.266 (73.052)
Epoch: [76][570/5005] Time 0.214 (0.212) Data 0.044 (0.051) Loss 2.3635 (2.2812) Prec@1 45.312 (47.780) Prec@5 73.047 (73.041)
Epoch: [76][580/5005] Time 0.206 (0.212) Data 0.044 (0.051) Loss 2.2721 (2.2801) Prec@1 48.047 (47.809) Prec@5 73.047 (73.061)
Epoch: [76][590/5005] Time 0.215 (0.212) Data 0.043 (0.051) Loss 2.3482 (2.2797) Prec@1 44.141 (47.800) Prec@5 70.703 (73.059)
Epoch: [76][600/5005] Time 0.205 (0.212) Data 0.044 (0.051) Loss 2.2221 (2.2807) Prec@1 48.047 (47.783) Prec@5 73.438 (73.041)
Epoch: [76][610/5005] Time 0.208 (0.212) Data 0.042 (0.051) Loss 2.2415 (2.2809) Prec@1 48.438 (47.772) Prec@5 72.656 (73.036)
Epoch: [76][620/5005] Time 0.207 (0.212) Data 0.049 (0.051) Loss 2.3802 (2.2813) Prec@1 48.828 (47.776) Prec@5 71.094 (73.044)
Epoch: [76][630/5005] Time 0.201 (0.212) Data 0.044 (0.051) Loss 2.5159 (2.2813) Prec@1 46.094 (47.787) Prec@5 72.266 (73.048)
Epoch: [76][640/5005] Time 0.214 (0.212) Data 0.044 (0.051) Loss 2.1312 (2.2809) Prec@1 48.047 (47.781) Prec@5 74.609 (73.062)
Epoch: [76][650/5005] Time 0.200 (0.212) Data 0.050 (0.051) Loss 2.4074 (2.2816) Prec@1 44.922 (47.762) Prec@5 67.578 (73.047)
Epoch: [76][660/5005] Time 0.203 (0.212) Data 0.055 (0.051) Loss 2.3901 (2.2814) Prec@1 49.219 (47.771) Prec@5 71.094 (73.056)
Epoch: [76][670/5005] Time 0.211 (0.212) Data 0.056 (0.051) Loss 2.5941 (2.2822) Prec@1 41.797 (47.748) Prec@5 66.406 (73.032)
Epoch: [76][680/5005] Time 0.209 (0.212) Data 0.057 (0.051) Loss 2.2118 (2.2818) Prec@1 50.391 (47.766) Prec@5 73.438 (73.037)
Epoch: [76][690/5005] Time 0.216 (0.212) Data 0.042 (0.051) Loss 2.1357 (2.2807) Prec@1 55.469 (47.792) Prec@5 76.172 (73.059)
Epoch: [76][700/5005] Time 0.214 (0.212) Data 0.043 (0.051) Loss 2.2412 (2.2803) Prec@1 47.266 (47.791) Prec@5 73.438 (73.059)
Epoch: [76][710/5005] Time 0.216 (0.212) Data 0.042 (0.051) Loss 2.1108 (2.2801) Prec@1 50.000 (47.794) Prec@5 72.656 (73.057)
Epoch: [76][720/5005] Time 0.208 (0.212) Data 0.043 (0.050) Loss 2.1916 (2.2793) Prec@1 49.219 (47.806) Prec@5 76.172 (73.070)
Epoch: [76][730/5005] Time 0.213 (0.212) Data 0.047 (0.050) Loss 2.3428 (2.2795) Prec@1 46.094 (47.810) Prec@5 73.828 (73.057)
Epoch: [76][740/5005] Time 0.201 (0.212) Data 0.061 (0.050) Loss 2.3294 (2.2795) Prec@1 45.312 (47.809) Prec@5 69.141 (73.048)
Epoch: [76][750/5005] Time 0.202 (0.212) Data 0.047 (0.051) Loss 2.0558 (2.2789) Prec@1 50.781 (47.819) Prec@5 75.391 (73.057)
Epoch: [76][760/5005] Time 0.207 (0.212) Data 0.050 (0.051) Loss 2.2362 (2.2789) Prec@1 48.828 (47.814) Prec@5 76.562 (73.060)
Epoch: [76][770/5005] Time 0.208 (0.212) Data 0.045 (0.051) Loss 2.3554 (2.2777) Prec@1 45.703 (47.847) Prec@5 71.484 (73.076)
Epoch: [76][780/5005] Time 0.206 (0.212) Data 0.051 (0.051) Loss 2.3257 (2.2777) Prec@1 46.875 (47.860) Prec@5 72.266 (73.063)
Epoch: [76][790/5005] Time 0.209 (0.212) Data 0.044 (0.051) Loss 2.3326 (2.2775) Prec@1 46.484 (47.868) Prec@5 72.266 (73.070)
Epoch: [76][800/5005] Time 0.210 (0.212) Data 0.042 (0.050) Loss 2.0835 (2.2766) Prec@1 50.781 (47.881) Prec@5 78.125 (73.090)
Epoch: [76][810/5005] Time 0.213 (0.212) Data 0.044 (0.050) Loss 2.3751 (2.2766) Prec@1 48.047 (47.894) Prec@5 71.094 (73.095)
Epoch: [76][820/5005] Time 0.214 (0.212) Data 0.045 (0.050) Loss 2.4048 (2.2770) Prec@1 46.875 (47.887) Prec@5 68.750 (73.090)
Epoch: [76][830/5005] Time 0.210 (0.212) Data 0.043 (0.050) Loss 2.2259 (2.2769) Prec@1 52.734 (47.894) Prec@5 73.828 (73.091)
Epoch: [76][840/5005] Time 0.219 (0.212) Data 0.048 (0.050) Loss 2.3389 (2.2771) Prec@1 46.484 (47.901) Prec@5 71.484 (73.101)
Epoch: [76][850/5005] Time 0.214 (0.212) Data 0.044 (0.050) Loss 2.5368 (2.2772) Prec@1 46.094 (47.893) Prec@5 68.359 (73.098)
Epoch: [76][860/5005] Time 0.209 (0.212) Data 0.050 (0.050) Loss 2.2412 (2.2775) Prec@1 46.484 (47.890) Prec@5 72.266 (73.085)
Epoch: [76][870/5005] Time 0.216 (0.212) Data 0.047 (0.050) Loss 2.1151 (2.2764) Prec@1 49.609 (47.902) Prec@5 74.609 (73.101)
Epoch: [76][880/5005] Time 0.204 (0.212) Data 0.050 (0.050) Loss 2.1623 (2.2766) Prec@1 51.172 (47.907) Prec@5 72.266 (73.100)
Epoch: [76][890/5005] Time 0.212 (0.212) Data 0.046 (0.050) Loss 2.5787 (2.2765) Prec@1 41.406 (47.906) Prec@5 68.359 (73.101)
Epoch: [76][900/5005] Time 0.210 (0.212) Data 0.051 (0.050) Loss 2.2453 (2.2763) Prec@1 46.484 (47.903) Prec@5 75.781 (73.112)
Epoch: [76][910/5005] Time 0.199 (0.211) Data 0.060 (0.050) Loss 2.1743 (2.2760) Prec@1 46.875 (47.905) Prec@5 75.781 (73.110)
Epoch: [76][920/5005] Time 0.211 (0.211) Data 0.044 (0.050) Loss 2.2470 (2.2749) Prec@1 45.703 (47.923) Prec@5 76.562 (73.136)
Epoch: [76][930/5005] Time 0.206 (0.211) Data 0.042 (0.050) Loss 2.2541 (2.2746) Prec@1 47.656 (47.935) Prec@5 71.484 (73.130)
Epoch: [76][940/5005] Time 0.215 (0.211) Data 0.043 (0.050) Loss 2.0371 (2.2743) Prec@1 50.000 (47.945) Prec@5 80.469 (73.135)
Epoch: [76][950/5005] Time 0.205 (0.212) Data 0.044 (0.050) Loss 2.3582 (2.2751) Prec@1 43.359 (47.946) Prec@5 74.219 (73.123)
Epoch: [76][960/5005] Time 0.209 (0.212) Data 0.042 (0.050) Loss 2.3691 (2.2752) Prec@1 44.141 (47.936) Prec@5 70.312 (73.125)
Epoch: [76][970/5005] Time 0.212 (0.212) Data 0.047 (0.050) Loss 2.1431 (2.2752) Prec@1 50.781 (47.935) Prec@5 74.609 (73.120)
Epoch: [76][980/5005] Time 0.213 (0.211) Data 0.045 (0.050) Loss 2.2797 (2.2750) Prec@1 51.172 (47.943) Prec@5 72.656 (73.123)
Epoch: [76][990/5005] Time 0.210 (0.211) Data 0.048 (0.050) Loss 2.3114 (2.2751) Prec@1 46.094 (47.942) Prec@5 74.219 (73.122)
Epoch: [76][1000/5005] Time 0.217 (0.211) Data 0.044 (0.050) Loss 2.3087 (2.2748) Prec@1 45.703 (47.944) Prec@5 75.781 (73.130)
Epoch: [76][1010/5005] Time 0.215 (0.211) Data 0.044 (0.050) Loss 2.3422 (2.2746) Prec@1 45.312 (47.944) Prec@5 72.656 (73.129)
Epoch: [76][1020/5005] Time 0.197 (0.212) Data 0.050 (0.050) Loss 2.2056 (2.2754) Prec@1 47.656 (47.933) Prec@5 73.438 (73.113)
Epoch: [76][1030/5005] Time 0.199 (0.212) Data 0.043 (0.050) Loss 2.2648 (2.2753) Prec@1 49.219 (47.929) Prec@5 75.781 (73.116)
Epoch: [76][1040/5005] Time 0.208 (0.212) Data 0.046 (0.050) Loss 2.3544 (2.2755) Prec@1 48.438 (47.923) Prec@5 72.266 (73.114)
Epoch: [76][1050/5005] Time 0.212 (0.212) Data 0.041 (0.050) Loss 2.3131 (2.2755) Prec@1 49.219 (47.920) Prec@5 72.656 (73.119)
Epoch: [76][1060/5005] Time 0.209 (0.212) Data 0.042 (0.050) Loss 2.4001 (2.2756) Prec@1 46.484 (47.924) Prec@5 72.266 (73.120)
Epoch: [76][1070/5005] Time 0.210 (0.212) Data 0.042 (0.049) Loss 2.2033 (2.2755) Prec@1 50.000 (47.927) Prec@5 73.828 (73.119)
Epoch: [76][1080/5005] Time 0.212 (0.212) Data 0.043 (0.049) Loss 2.3977 (2.2761) Prec@1 45.703 (47.921) Prec@5 70.703 (73.112)
Epoch: [76][1090/5005] Time 0.213 (0.212) Data 0.043 (0.049) Loss 2.1294 (2.2759) Prec@1 51.172 (47.934) Prec@5 74.609 (73.112)
Epoch: [76][1100/5005] Time 0.212 (0.212) Data 0.043 (0.049) Loss 2.2577 (2.2756) Prec@1 48.438 (47.934) Prec@5 73.047 (73.119)
Epoch: [76][1110/5005] Time 0.191 (0.212) Data 0.052 (0.049) Loss 2.3008 (2.2753) Prec@1 45.703 (47.941) Prec@5 71.875 (73.117)
Epoch: [76][1120/5005] Time 0.212 (0.212) Data 0.047 (0.049) Loss 2.2176 (2.2744) Prec@1 46.094 (47.963) Prec@5 73.828 (73.140)
Epoch: [76][1130/5005] Time 0.209 (0.212) Data 0.048 (0.049) Loss 2.4620 (2.2750) Prec@1 47.656 (47.953) Prec@5 69.922 (73.131)
Epoch: [76][1140/5005] Time 0.206 (0.212) Data 0.052 (0.049) Loss 2.3384 (2.2750) Prec@1 46.484 (47.949) Prec@5 69.922 (73.128)
Epoch: [76][1150/5005] Time 0.206 (0.212) Data 0.053 (0.049) Loss 2.2274 (2.2747) Prec@1 45.703 (47.948) Prec@5 74.219 (73.138)
Epoch: [76][1160/5005] Time 0.206 (0.212) Data 0.045 (0.049) Loss 2.3665 (2.2745) Prec@1 49.219 (47.955) Prec@5 71.484 (73.130)
Epoch: [76][1170/5005] Time 0.198 (0.212) Data 0.042 (0.049) Loss 2.1005 (2.2744) Prec@1 50.781 (47.957) Prec@5 75.391 (73.133)
Epoch: [76][1180/5005] Time 0.207 (0.212) Data 0.043 (0.049) Loss 2.3263 (2.2744) Prec@1 45.703 (47.949) Prec@5 71.094 (73.133)
Epoch: [76][1190/5005] Time 0.215 (0.212) Data 0.044 (0.049) Loss 2.0219 (2.2740) Prec@1 49.609 (47.959) Prec@5 80.078 (73.142)
Epoch: [76][1200/5005] Time 0.212 (0.212) Data 0.042 (0.049) Loss 2.4482 (2.2739) Prec@1 44.141 (47.954) Prec@5 71.484 (73.142)
Epoch: [76][1210/5005] Time 0.213 (0.212) Data 0.041 (0.049) Loss 2.2886 (2.2747) Prec@1 47.266 (47.936) Prec@5 74.219 (73.137)
Epoch: [76][1220/5005] Time 0.206 (0.212) Data 0.042 (0.049) Loss 2.2036 (2.2749) Prec@1 48.828 (47.932) Prec@5 76.172 (73.134)
Epoch: [76][1230/5005] Time 0.209 (0.212) Data 0.041 (0.049) Loss 2.2226 (2.2749) Prec@1 49.219 (47.941) Prec@5 75.391 (73.137)
Epoch: [76][1240/5005] Time 0.210 (0.212) Data 0.043 (0.049) Loss 2.2790 (2.2750) Prec@1 49.219 (47.931) Prec@5 73.438 (73.136)
Epoch: [76][1250/5005] Time 0.220 (0.212) Data 0.044 (0.049) Loss 2.5716 (2.2754) Prec@1 44.141 (47.925) Prec@5 68.359 (73.125)
Epoch: [76][1260/5005] Time 0.205 (0.212) Data 0.042 (0.049) Loss 1.9893 (2.2747) Prec@1 54.297 (47.943) Prec@5 76.953 (73.130)
Epoch: [76][1270/5005] Time 0.214 (0.212) Data 0.044 (0.049) Loss 2.3744 (2.2755) Prec@1 45.703 (47.933) Prec@5 73.438 (73.118)
Epoch: [76][1280/5005] Time 0.210 (0.212) Data 0.042 (0.049) Loss 2.3559 (2.2758) Prec@1 51.562 (47.932) Prec@5 70.312 (73.110)
Epoch: [76][1290/5005] Time 0.216 (0.212) Data 0.044 (0.049) Loss 1.9906 (2.2755) Prec@1 55.469 (47.949) Prec@5 75.000 (73.112)
Epoch: [76][1300/5005] Time 0.211 (0.212) Data 0.042 (0.049) Loss 2.2334 (2.2752) Prec@1 52.734 (47.956) Prec@5 75.000 (73.120)
Epoch: [76][1310/5005] Time 0.197 (0.212) Data 0.043 (0.049) Loss 2.2275 (2.2751) Prec@1 46.484 (47.960) Prec@5 75.000 (73.127)
Epoch: [76][1320/5005] Time 0.213 (0.212) Data 0.043 (0.049) Loss 2.3153 (2.2750) Prec@1 49.609 (47.966) Prec@5 71.484 (73.130)
Epoch: [76][1330/5005] Time 0.213 (0.212) Data 0.042 (0.049) Loss 2.4957 (2.2755) Prec@1 43.750 (47.958) Prec@5 71.484 (73.125)
Epoch: [76][1340/5005] Time 0.208 (0.212) Data 0.043 (0.048) Loss 2.1894 (2.2754) Prec@1 50.000 (47.963) Prec@5 74.609 (73.128)
Epoch: [76][1350/5005] Time 0.211 (0.212) Data 0.042 (0.048) Loss 2.6543 (2.2758) Prec@1 43.359 (47.949) Prec@5 69.141 (73.124)
Epoch: [76][1360/5005] Time 0.218 (0.212) Data 0.042 (0.048) Loss 2.1684 (2.2757) Prec@1 48.438 (47.942) Prec@5 73.047 (73.119)
Epoch: [76][1370/5005] Time 0.213 (0.212) Data 0.043 (0.048) Loss 2.2801 (2.2752) Prec@1 48.438 (47.947) Prec@5 71.875 (73.120)
Epoch: [76][1380/5005] Time 0.206 (0.212) Data 0.042 (0.048) Loss 2.3514 (2.2750) Prec@1 47.656 (47.942) Prec@5 73.828 (73.126)
Epoch: [76][1390/5005] Time 0.201 (0.212) Data 0.040 (0.048) Loss 2.1493 (2.2750) Prec@1 51.172 (47.949) Prec@5 73.828 (73.124)
Epoch: [76][1400/5005] Time 0.209 (0.212) Data 0.049 (0.048) Loss 2.2779 (2.2745) Prec@1 44.922 (47.947) Prec@5 73.828 (73.134)
Epoch: [76][1410/5005] Time 0.217 (0.212) Data 0.044 (0.048) Loss 2.2984 (2.2744) Prec@1 45.703 (47.955) Prec@5 73.828 (73.141)
Epoch: [76][1420/5005] Time 0.201 (0.212) Data 0.039 (0.048) Loss 2.4592 (2.2746) Prec@1 45.703 (47.949) Prec@5 70.703 (73.140)
Epoch: [76][1430/5005] Time 0.205 (0.212) Data 0.046 (0.048) Loss 1.9390 (2.2741) Prec@1 55.469 (47.967) Prec@5 76.562 (73.144)
Epoch: [76][1440/5005] Time 0.201 (0.212) Data 0.043 (0.048) Loss 1.9623 (2.2737) Prec@1 54.297 (47.980) Prec@5 80.078 (73.153)
Epoch: [76][1450/5005] Time 0.204 (0.212) Data 0.043 (0.048) Loss 2.2283 (2.2737) Prec@1 52.344 (47.982) Prec@5 72.656 (73.150)
Epoch: [76][1460/5005] Time 0.205 (0.212) Data 0.045 (0.048) Loss 2.3061 (2.2737) Prec@1 41.797 (47.980) Prec@5 71.094 (73.154)
Epoch: [76][1470/5005] Time 0.212 (0.212) Data 0.043 (0.048) Loss 2.4392 (2.2740) Prec@1 48.047 (47.983) Prec@5 71.484 (73.150)
Epoch: [76][1480/5005] Time 0.212 (0.212) Data 0.040 (0.048) Loss 2.1093 (2.2742) Prec@1 52.734 (47.978) Prec@5 78.906 (73.155)
Epoch: [76][1490/5005] Time 0.203 (0.212) Data 0.051 (0.048) Loss 2.5116 (2.2742) Prec@1 39.844 (47.972) Prec@5 69.922 (73.162)
Epoch: [76][1500/5005] Time 0.213 (0.211) Data 0.049 (0.048) Loss 2.2759 (2.2743) Prec@1 46.875 (47.971) Prec@5 74.609 (73.161)
Epoch: [76][1510/5005] Time 0.208 (0.211) Data 0.055 (0.048) Loss 2.0900 (2.2739) Prec@1 48.047 (47.967) Prec@5 73.828 (73.166)
Epoch: [76][1520/5005] Time 0.213 (0.211) Data 0.045 (0.048) Loss 2.2738 (2.2735) Prec@1 47.656 (47.974) Prec@5 73.438 (73.167)
Epoch: [76][1530/5005] Time 0.210 (0.211) Data 0.049 (0.048) Loss 2.3488 (2.2737) Prec@1 46.094 (47.974) Prec@5 70.312 (73.161)
Epoch: [76][1540/5005] Time 0.199 (0.211) Data 0.043 (0.048) Loss 2.4550 (2.2740) Prec@1 42.969 (47.971) Prec@5 69.922 (73.154)
Epoch: [76][1550/5005] Time 0.214 (0.211) Data 0.043 (0.048) Loss 2.3023 (2.2736) Prec@1 46.875 (47.974) Prec@5 69.922 (73.154)
Epoch: [76][1560/5005] Time 0.213 (0.211) Data 0.042 (0.048) Loss 2.1692 (2.2738) Prec@1 46.875 (47.973) Prec@5 71.875 (73.151)
Epoch: [76][1570/5005] Time 0.205 (0.211) Data 0.047 (0.048) Loss 2.2804 (2.2737) Prec@1 49.219 (47.973) Prec@5 73.438 (73.158)
Epoch: [76][1580/5005] Time 0.204 (0.211) Data 0.039 (0.048) Loss 2.1784 (2.2738) Prec@1 49.609 (47.972) Prec@5 76.562 (73.157)
Epoch: [76][1590/5005] Time 0.202 (0.211) Data 0.066 (0.048) Loss 2.2088 (2.2738) Prec@1 49.609 (47.970) Prec@5 73.438 (73.158)
Epoch: [76][1600/5005] Time 0.200 (0.211) Data 0.047 (0.048) Loss 2.2436 (2.2736) Prec@1 49.609 (47.974) Prec@5 73.828 (73.164)
Epoch: [76][1610/5005] Time 0.199 (0.211) Data 0.051 (0.048) Loss 2.3565 (2.2737) Prec@1 47.656 (47.978) Prec@5 74.219 (73.160)
Epoch: [76][1620/5005] Time 0.201 (0.211) Data 0.059 (0.048) Loss 2.2859 (2.2732) Prec@1 47.266 (47.984) Prec@5 71.484 (73.168)
Epoch: [76][1630/5005] Time 0.212 (0.211) Data 0.047 (0.048) Loss 2.2143 (2.2733) Prec@1 48.828 (47.983) Prec@5 70.703 (73.164)
Epoch: [76][1640/5005] Time 0.211 (0.211) Data 0.049 (0.048) Loss 2.2923 (2.2735) Prec@1 51.172 (47.981) Prec@5 73.438 (73.162)
Epoch: [76][1650/5005] Time 0.212 (0.211) Data 0.046 (0.048) Loss 2.3948 (2.2735) Prec@1 44.531 (47.980) Prec@5 70.312 (73.155)
Epoch: [76][1660/5005] Time 0.208 (0.211) Data 0.044 (0.048) Loss 2.1511 (2.2729) Prec@1 51.172 (47.994) Prec@5 73.438 (73.166)
Epoch: [76][1670/5005] Time 0.208 (0.211) Data 0.041 (0.048) Loss 2.0413 (2.2731) Prec@1 52.344 (47.994) Prec@5 77.344 (73.165)
Epoch: [76][1680/5005] Time 0.214 (0.211) Data 0.044 (0.048) Loss 2.3051 (2.2735) Prec@1 47.656 (47.989) Prec@5 73.438 (73.158)
Epoch: [76][1690/5005] Time 0.213 (0.211) Data 0.044 (0.048) Loss 2.1674 (2.2731) Prec@1 50.391 (47.995) Prec@5 75.781 (73.171)
Epoch: [76][1700/5005] Time 0.209 (0.211) Data 0.047 (0.048) Loss 2.2331 (2.2729) Prec@1 49.219 (47.999) Prec@5 73.047 (73.171)
Epoch: [76][1710/5005] Time 0.208 (0.211) Data 0.053 (0.048) Loss 2.2253 (2.2724) Prec@1 46.094 (48.010) Prec@5 74.219 (73.178)
Epoch: [76][1720/5005] Time 0.203 (0.211) Data 0.043 (0.048) Loss 2.2334 (2.2725) Prec@1 46.094 (48.005) Prec@5 73.047 (73.175)
Epoch: [76][1730/5005] Time 0.214 (0.211) Data 0.062 (0.048) Loss 2.2779 (2.2721) Prec@1 45.312 (48.009) Prec@5 75.000 (73.182)
Epoch: [76][1740/5005] Time 0.198 (0.211) Data 0.045 (0.048) Loss 2.4699 (2.2719) Prec@1 41.797 (48.016) Prec@5 69.531 (73.183)
Epoch: [76][1750/5005] Time 0.216 (0.211) Data 0.042 (0.048) Loss 2.1802 (2.2718) Prec@1 47.656 (48.016) Prec@5 73.828 (73.187)
Epoch: [76][1760/5005] Time 0.204 (0.211) Data 0.044 (0.048) Loss 2.0231 (2.2714) Prec@1 53.516 (48.026) Prec@5 77.734 (73.192)
Epoch: [76][1770/5005] Time 0.218 (0.211) Data 0.043 (0.048) Loss 2.3240 (2.2712) Prec@1 46.094 (48.026) Prec@5 71.484 (73.197)
Epoch: [76][1780/5005] Time 0.209 (0.211) Data 0.046 (0.048) Loss 2.1805 (2.2713) Prec@1 45.703 (48.025) Prec@5 75.000 (73.194)
Epoch: [76][1790/5005] Time 0.211 (0.211) Data 0.047 (0.048) Loss 2.2355 (2.2712) Prec@1 47.266 (48.025) Prec@5 73.828 (73.196)
Epoch: [76][1800/5005] Time 0.200 (0.211) Data 0.045 (0.048) Loss 2.1544 (2.2708) Prec@1 49.609 (48.031) Prec@5 73.828 (73.203)
Epoch: [76][1810/5005] Time 0.210 (0.211) Data 0.043 (0.048) Loss 2.1938 (2.2706) Prec@1 49.609 (48.031) Prec@5 73.828 (73.202)
Epoch: [76][1820/5005] Time 0.209 (0.211) Data 0.042 (0.048) Loss 2.2005 (2.2705) Prec@1 46.484 (48.029) Prec@5 75.000 (73.205)
Epoch: [76][1830/5005] Time 0.210 (0.211) Data 0.042 (0.048) Loss 2.0753 (2.2701) Prec@1 54.688 (48.033) Prec@5 74.609 (73.209)
Epoch: [76][1840/5005] Time 0.199 (0.211) Data 0.043 (0.048) Loss 2.3363 (2.2699) Prec@1 48.047 (48.034) Prec@5 68.750 (73.207)
Epoch: [76][1850/5005] Time 0.205 (0.211) Data 0.042 (0.048) Loss 2.3007 (2.2698) Prec@1 48.828 (48.030) Prec@5 73.828 (73.206)
Epoch: [76][1860/5005] Time 0.201 (0.211) Data 0.043 (0.048) Loss 2.3319 (2.2698) Prec@1 44.922 (48.027) Prec@5 70.312 (73.204)
Epoch: [76][1870/5005] Time 0.209 (0.211) Data 0.068 (0.048) Loss 2.4999 (2.2701) Prec@1 42.969 (48.016) Prec@5 68.750 (73.198)
Epoch: [76][1880/5005] Time 0.203 (0.211) Data 0.056 (0.048) Loss 2.3884 (2.2704) Prec@1 45.703 (48.010) Prec@5 70.312 (73.198)
Epoch: [76][1890/5005] Time 0.208 (0.211) Data 0.042 (0.048) Loss 2.3074 (2.2702) Prec@1 47.656 (48.010) Prec@5 74.219 (73.204)
Epoch: [76][1900/5005] Time 0.204 (0.211) Data 0.057 (0.048) Loss 2.2208 (2.2706) Prec@1 46.484 (48.001) Prec@5 75.000 (73.198)
Epoch: [76][1910/5005] Time 0.210 (0.211) Data 0.041 (0.048) Loss 2.1841 (2.2705) Prec@1 45.703 (48.002) Prec@5 73.047 (73.200)
Epoch: [76][1920/5005] Time 0.206 (0.211) Data 0.045 (0.048) Loss 2.0760 (2.2702) Prec@1 50.781 (48.004) Prec@5 78.516 (73.208)
Epoch: [76][1930/5005] Time 0.207 (0.211) Data 0.044 (0.048) Loss 2.0681 (2.2698) Prec@1 50.781 (48.011) Prec@5 76.172 (73.217)
Epoch: [76][1940/5005] Time 0.205 (0.211) Data 0.044 (0.048) Loss 2.1478 (2.2697) Prec@1 49.609 (48.007) Prec@5 78.125 (73.220)
Epoch: [76][1950/5005] Time 0.209 (0.211) Data 0.043 (0.048) Loss 2.4187 (2.2695) Prec@1 44.531 (48.010) Prec@5 71.094 (73.222)
Epoch: [76][1960/5005] Time 0.207 (0.211) Data 0.051 (0.048) Loss 2.1915 (2.2692) Prec@1 50.781 (48.019) Prec@5 74.219 (73.229)
Epoch: [76][1970/5005] Time 0.198 (0.211) Data 0.042 (0.048) Loss 2.2495 (2.2693) Prec@1 46.875 (48.016) Prec@5 74.219 (73.229)
Epoch: [76][1980/5005] Time 0.204 (0.211) Data 0.049 (0.048) Loss 1.9621 (2.2691) Prec@1 53.906 (48.026) Prec@5 76.562 (73.237)
Epoch: [76][1990/5005] Time 0.206 (0.211) Data 0.046 (0.048) Loss 2.0872 (2.2690) Prec@1 53.125 (48.029) Prec@5 75.000 (73.236)
Epoch: [76][2000/5005] Time 0.211 (0.211) Data 0.055 (0.048) Loss 2.2310 (2.2692) Prec@1 50.391 (48.024) Prec@5 72.656 (73.235)
Epoch: [76][2010/5005] Time 0.209 (0.211) Data 0.043 (0.048) Loss 2.0646 (2.2693) Prec@1 52.344 (48.022) Prec@5 75.781 (73.237)
Epoch: [76][2020/5005] Time 0.217 (0.211) Data 0.042 (0.048) Loss 2.2191 (2.2693) Prec@1 52.734 (48.022) Prec@5 75.391 (73.235)
Epoch: [76][2030/5005] Time 0.208 (0.211) Data 0.048 (0.048) Loss 2.4188 (2.2695) Prec@1 44.922 (48.023) Prec@5 71.094 (73.231)
Epoch: [76][2040/5005] Time 0.213 (0.211) Data 0.045 (0.048) Loss 2.0145 (2.2693) Prec@1 50.781 (48.022) Prec@5 78.906 (73.237)
Epoch: [76][2050/5005] Time 0.204 (0.211) Data 0.058 (0.048) Loss 2.3710 (2.2691) Prec@1 46.094 (48.024) Prec@5 70.703 (73.241)
Epoch: [76][2060/5005] Time 0.212 (0.211) Data 0.046 (0.048) Loss 2.1979 (2.2692) Prec@1 46.094 (48.020) Prec@5 75.391 (73.234)
Epoch: [76][2070/5005] Time 0.214 (0.211) Data 0.045 (0.048) Loss 2.3281 (2.2693) Prec@1 43.750 (48.014) Prec@5 69.922 (73.231)
Epoch: [76][2080/5005] Time 0.208 (0.211) Data 0.043 (0.048) Loss 2.3650 (2.2693) Prec@1 43.359 (48.015) Prec@5 71.094 (73.228)
Epoch: [76][2090/5005] Time 0.204 (0.211) Data 0.047 (0.048) Loss 2.2045 (2.2690) Prec@1 49.609 (48.018) Prec@5 73.047 (73.231)
Epoch: [76][2100/5005] Time 0.207 (0.211) Data 0.044 (0.048) Loss 2.1624 (2.2688) Prec@1 53.906 (48.024) Prec@5 75.391 (73.230)
Epoch: [76][2110/5005] Time 0.204 (0.211) Data 0.044 (0.048) Loss 2.1615 (2.2687) Prec@1 50.391 (48.028) Prec@5 75.000 (73.232)
Epoch: [76][2120/5005] Time 0.210 (0.211) Data 0.070 (0.048) Loss 2.2981 (2.2686) Prec@1 50.000 (48.035) Prec@5 72.656 (73.235)
Epoch: [76][2130/5005] Time 0.208 (0.211) Data 0.050 (0.048) Loss 2.3629 (2.2683) Prec@1 46.484 (48.043) Prec@5 75.781 (73.237)
Epoch: [76][2140/5005] Time 0.213 (0.211) Data 0.043 (0.048) Loss 2.2261 (2.2681) Prec@1 45.703 (48.047) Prec@5 73.828 (73.236)
Epoch: [76][2150/5005] Time 0.212 (0.211) Data 0.044 (0.048) Loss 2.1800 (2.2680) Prec@1 51.953 (48.055) Prec@5 75.000 (73.238)
Epoch: [76][2160/5005] Time 0.209 (0.211) Data 0.045 (0.048) Loss 2.2837 (2.2680) Prec@1 49.219 (48.054) Prec@5 75.781 (73.240)
Epoch: [76][2170/5005] Time 0.216 (0.211) Data 0.043 (0.048) Loss 1.9925 (2.2677) Prec@1 51.953 (48.062) Prec@5 78.516 (73.242)
Epoch: [76][2180/5005] Time 0.202 (0.211) Data 0.044 (0.048) Loss 2.4164 (2.2678) Prec@1 52.344 (48.066) Prec@5 69.531 (73.239)
Epoch: [76][2190/5005] Time 0.202 (0.211) Data 0.050 (0.048) Loss 2.4206 (2.2677) Prec@1 49.609 (48.066) Prec@5 68.359 (73.239)
Epoch: [76][2200/5005] Time 0.204 (0.211) Data 0.052 (0.048) Loss 2.2775 (2.2678) Prec@1 46.094 (48.064) Prec@5 74.609 (73.244)
Epoch: [76][2210/5005] Time 0.210 (0.211) Data 0.042 (0.048) Loss 2.3631 (2.2681) Prec@1 45.312 (48.061) Prec@5 70.312 (73.242)
Epoch: [76][2220/5005] Time 0.204 (0.211) Data 0.059 (0.048) Loss 2.5045 (2.2679) Prec@1 46.484 (48.063) Prec@5 67.578 (73.244)
Epoch: [76][2230/5005] Time 0.201 (0.211) Data 0.041 (0.048) Loss 2.1770 (2.2678) Prec@1 51.953 (48.066) Prec@5 74.219 (73.241)
Epoch: [76][2240/5005] Time 0.210 (0.211) Data 0.047 (0.048) Loss 2.1876 (2.2679) Prec@1 50.781 (48.066) Prec@5 74.609 (73.239)
Epoch: [76][2250/5005] Time 0.206 (0.211) Data 0.061 (0.048) Loss 2.0803 (2.2680) Prec@1 47.656 (48.059) Prec@5 76.562 (73.241)
Epoch: [76][2260/5005] Time 0.203 (0.211) Data 0.044 (0.048) Loss 2.1555 (2.2678) Prec@1 49.609 (48.058) Prec@5 73.047 (73.243)
Epoch: [76][2270/5005] Time 0.205 (0.211) Data 0.063 (0.048) Loss 2.3698 (2.2677) Prec@1 43.750 (48.053) Prec@5 72.656 (73.245)
Epoch: [76][2280/5005] Time 0.213 (0.211) Data 0.044 (0.048) Loss 2.4305 (2.2677) Prec@1 47.266 (48.054) Prec@5 70.312 (73.250)
Epoch: [76][2290/5005] Time 0.203 (0.211) Data 0.042 (0.048) Loss 2.1820 (2.2678) Prec@1 49.219 (48.051) Prec@5 74.219 (73.254)
Epoch: [76][2300/5005] Time 0.205 (0.211) Data 0.041 (0.048) Loss 2.2479 (2.2679) Prec@1 45.312 (48.043) Prec@5 71.094 (73.251)
Epoch: [76][2310/5005] Time 0.210 (0.211) Data 0.042 (0.048) Loss 2.1165 (2.2679) Prec@1 49.609 (48.045) Prec@5 73.438 (73.248)
Epoch: [76][2320/5005] Time 0.211 (0.211) Data 0.044 (0.048) Loss 2.4237 (2.2680) Prec@1 45.703 (48.046) Prec@5 71.094 (73.245)
Epoch: [76][2330/5005] Time 0.205 (0.211) Data 0.042 (0.048) Loss 2.2752 (2.2679) Prec@1 48.047 (48.049) Prec@5 73.047 (73.247)
Epoch: [76][2340/5005] Time 0.216 (0.211) Data 0.045 (0.048) Loss 2.2881 (2.2675) Prec@1 49.609 (48.057) Prec@5 72.266 (73.250)
Epoch: [76][2350/5005] Time 0.198 (0.211) Data 0.060 (0.048) Loss 2.0762 (2.2673) Prec@1 56.250 (48.060) Prec@5 76.562 (73.254)
Epoch: [76][2360/5005] Time 0.209 (0.211) Data 0.055 (0.048) Loss 2.3314 (2.2674) Prec@1 46.094 (48.055) Prec@5 70.703 (73.252)
Epoch: [76][2370/5005] Time 0.207 (0.211) Data 0.054 (0.048) Loss 2.2874 (2.2676) Prec@1 46.484 (48.047) Prec@5 73.438 (73.247)
Epoch: [76][2380/5005] Time 0.209 (0.211) Data 0.046 (0.048) Loss 2.2602 (2.2673) Prec@1 49.219 (48.052) Prec@5 71.094 (73.252)
Epoch: [76][2390/5005] Time 0.217 (0.211) Data 0.047 (0.048) Loss 2.2298 (2.2673) Prec@1 48.047 (48.048) Prec@5 72.266 (73.252)
Epoch: [76][2400/5005] Time 0.214 (0.211) Data 0.046 (0.048) Loss 2.1967 (2.2672) Prec@1 46.094 (48.046) Prec@5 75.781 (73.253)
Epoch: [76][2410/5005] Time 0.214 (0.211) Data 0.048 (0.048) Loss 2.5151 (2.2671) Prec@1 45.703 (48.048) Prec@5 70.703 (73.256)
Epoch: [76][2420/5005] Time 0.193 (0.211) Data 0.057 (0.048) Loss 2.3298 (2.2669) Prec@1 48.047 (48.053) Prec@5 72.266 (73.259)
Epoch: [76][2430/5005] Time 0.206 (0.211) Data 0.047 (0.048) Loss 2.1184 (2.2671) Prec@1 52.734 (48.053) Prec@5 74.219 (73.257)
Epoch: [76][2440/5005] Time 0.215 (0.211) Data 0.043 (0.048) Loss 2.0985 (2.2668) Prec@1 53.906 (48.060) Prec@5 78.125 (73.260)
Epoch: [76][2450/5005] Time 0.209 (0.211) Data 0.047 (0.048) Loss 2.2482 (2.2666) Prec@1 47.266 (48.058) Prec@5 73.438 (73.262)
Epoch: [76][2460/5005] Time 0.205 (0.211) Data 0.047 (0.048) Loss 2.3376 (2.2665) Prec@1 47.656 (48.062) Prec@5 70.703 (73.262)
Epoch: [76][2470/5005] Time 0.197 (0.211) Data 0.049 (0.048) Loss 2.0414 (2.2663) Prec@1 57.031 (48.069) Prec@5 71.094 (73.261)
Epoch: [76][2480/5005] Time 0.215 (0.211) Data 0.044 (0.048) Loss 2.3369 (2.2665) Prec@1 44.922 (48.062) Prec@5 70.703 (73.260)
Epoch: [76][2490/5005] Time 0.209 (0.211) Data 0.046 (0.048) Loss 2.1209 (2.2664) Prec@1 48.828 (48.061) Prec@5 76.172 (73.262)
Epoch: [76][2500/5005] Time 0.206 (0.211) Data 0.042 (0.048) Loss 2.2882 (2.2665) Prec@1 48.828 (48.057) Prec@5 73.047 (73.260)
Epoch: [76][2510/5005] Time 0.212 (0.211) Data 0.043 (0.048) Loss 2.3541 (2.2664) Prec@1 47.266 (48.061) Prec@5 73.828 (73.260)
Epoch: [76][2520/5005] Time 0.211 (0.211) Data 0.042 (0.048) Loss 2.2392 (2.2665) Prec@1 53.125 (48.061) Prec@5 74.219 (73.258)
Epoch: [76][2530/5005] Time 0.212 (0.211) Data 0.042 (0.048) Loss 2.4780 (2.2665) Prec@1 42.188 (48.062) Prec@5 72.266 (73.257)
Epoch: [76][2540/5005] Time 0.212 (0.211) Data 0.044 (0.048) Loss 2.2065 (2.2664) Prec@1 48.047 (48.069) Prec@5 75.391 (73.258)
Epoch: [76][2550/5005] Time 0.202 (0.211) Data 0.042 (0.048) Loss 2.2098 (2.2664) Prec@1 50.000 (48.074) Prec@5 73.828 (73.259)
Epoch: [76][2560/5005] Time 0.211 (0.211) Data 0.043 (0.048) Loss 2.4645 (2.2665) Prec@1 42.188 (48.071) Prec@5 71.484 (73.258)
Epoch: [76][2570/5005] Time 0.200 (0.211) Data 0.061 (0.048) Loss 2.1853 (2.2665) Prec@1 47.656 (48.073) Prec@5 74.609 (73.256)
Epoch: [76][2580/5005] Time 0.211 (0.211) Data 0.042 (0.048) Loss 2.3798 (2.2668) Prec@1 44.531 (48.067) Prec@5 72.656 (73.252)
Epoch: [76][2590/5005] Time 0.202 (0.211) Data 0.043 (0.048) Loss 2.3622 (2.2667) Prec@1 44.141 (48.072) Prec@5 72.266 (73.251)
Epoch: [76][2600/5005] Time 0.211 (0.211) Data 0.047 (0.048) Loss 2.2538 (2.2668) Prec@1 49.219 (48.070) Prec@5 73.438 (73.252)
Epoch: [76][2610/5005] Time 0.205 (0.211) Data 0.042 (0.048) Loss 2.4120 (2.2668) Prec@1 48.047 (48.073) Prec@5 69.531 (73.252)
Epoch: [76][2620/5005] Time 0.217 (0.211) Data 0.042 (0.048) Loss 2.1836 (2.2668) Prec@1 44.922 (48.069) Prec@5 71.484 (73.249)
Epoch: [76][2630/5005] Time 0.205 (0.211) Data 0.050 (0.048) Loss 2.5050 (2.2672) Prec@1 43.750 (48.067) Prec@5 68.750 (73.239)
Epoch: [76][2640/5005] Time 0.202 (0.211) Data 0.050 (0.048) Loss 2.3936 (2.2673) Prec@1 43.359 (48.067) Prec@5 72.266 (73.237)
Epoch: [76][2650/5005] Time 0.208 (0.211) Data 0.052 (0.048) Loss 2.3849 (2.2673) Prec@1 48.828 (48.066) Prec@5 70.312 (73.233)
Epoch: [76][2660/5005] Time 0.208 (0.211) Data 0.043 (0.048) Loss 2.1754 (2.2672) Prec@1 44.141 (48.065) Prec@5 75.781 (73.232)
Epoch: [76][2670/5005] Time 0.212 (0.211) Data 0.049 (0.048) Loss 1.9434 (2.2670) Prec@1 52.734 (48.070) Prec@5 77.344 (73.235)
Epoch: [76][2680/5005] Time 0.216 (0.211) Data 0.042 (0.048) Loss 2.1534 (2.2669) Prec@1 51.172 (48.068) Prec@5 75.391 (73.237)
Epoch: [76][2690/5005] Time 0.206 (0.211) Data 0.051 (0.048) Loss 2.2471 (2.2668) Prec@1 49.219 (48.070) Prec@5 72.266 (73.239)
Epoch: [76][2700/5005] Time 0.214 (0.210) Data 0.050 (0.048) Loss 2.2484 (2.2669) Prec@1 43.750 (48.066) Prec@5 73.047 (73.239)
Epoch: [76][2710/5005] Time 0.200 (0.210) Data 0.048 (0.048) Loss 2.1328 (2.2670) Prec@1 47.266 (48.058) Prec@5 75.391 (73.238)
Epoch: [76][2720/5005] Time 0.210 (0.210) Data 0.041 (0.048) Loss 2.1419 (2.2670) Prec@1 54.297 (48.055) Prec@5 77.734 (73.241)
Epoch: [76][2730/5005] Time 0.196 (0.210) Data 0.048 (0.048) Loss 2.4549 (2.2669) Prec@1 44.141 (48.058) Prec@5 69.922 (73.243)
Epoch: [76][2740/5005] Time 0.203 (0.210) Data 0.061 (0.048) Loss 2.0118 (2.2668) Prec@1 54.297 (48.057) Prec@5 76.953 (73.243)
Epoch: [76][2750/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.3028 (2.2667) Prec@1 46.484 (48.060) Prec@5 74.609 (73.244)
Epoch: [76][2760/5005] Time 0.211 (0.210) Data 0.047 (0.048) Loss 2.3006 (2.2666) Prec@1 44.922 (48.064) Prec@5 74.219 (73.246)
Epoch: [76][2770/5005] Time 0.205 (0.210) Data 0.053 (0.048) Loss 2.2689 (2.2668) Prec@1 43.359 (48.060) Prec@5 71.875 (73.242)
Epoch: [76][2780/5005] Time 0.209 (0.210) Data 0.052 (0.048) Loss 2.5710 (2.2669) Prec@1 45.703 (48.058) Prec@5 71.484 (73.243)
Epoch: [76][2790/5005] Time 0.210 (0.210) Data 0.050 (0.048) Loss 2.6194 (2.2671) Prec@1 39.453 (48.054) Prec@5 67.578 (73.243)
Epoch: [76][2800/5005] Time 0.204 (0.210) Data 0.058 (0.048) Loss 2.0415 (2.2669) Prec@1 56.250 (48.063) Prec@5 77.344 (73.247)
Epoch: [76][2810/5005] Time 0.202 (0.210) Data 0.046 (0.048) Loss 2.4487 (2.2669) Prec@1 43.359 (48.063) Prec@5 70.703 (73.249)
Epoch: [76][2820/5005] Time 0.203 (0.210) Data 0.047 (0.048) Loss 1.9420 (2.2666) Prec@1 50.391 (48.066) Prec@5 77.344 (73.255)
Epoch: [76][2830/5005] Time 0.202 (0.210) Data 0.046 (0.048) Loss 2.4916 (2.2667) Prec@1 45.703 (48.061) Prec@5 70.703 (73.254)
Epoch: [76][2840/5005] Time 0.205 (0.210) Data 0.045 (0.048) Loss 2.3065 (2.2666) Prec@1 43.750 (48.060) Prec@5 71.875 (73.257)
Epoch: [76][2850/5005] Time 0.200 (0.210) Data 0.065 (0.048) Loss 2.2252 (2.2666) Prec@1 49.219 (48.061) Prec@5 70.312 (73.256)
Epoch: [76][2860/5005] Time 0.207 (0.210) Data 0.042 (0.048) Loss 2.3578 (2.2666) Prec@1 46.094 (48.060) Prec@5 68.359 (73.254)
Epoch: [76][2870/5005] Time 0.207 (0.210) Data 0.043 (0.048) Loss 2.1366 (2.2663) Prec@1 49.609 (48.066) Prec@5 75.781 (73.261)
Epoch: [76][2880/5005] Time 0.216 (0.210) Data 0.046 (0.048) Loss 2.2443 (2.2662) Prec@1 46.875 (48.064) Prec@5 74.609 (73.259)
Epoch: [76][2890/5005] Time 0.213 (0.210) Data 0.046 (0.048) Loss 2.3287 (2.2661) Prec@1 44.531 (48.067) Prec@5 73.828 (73.260)
Epoch: [76][2900/5005] Time 0.206 (0.210) Data 0.051 (0.048) Loss 1.9313 (2.2659) Prec@1 53.516 (48.070) Prec@5 80.859 (73.268)
Epoch: [76][2910/5005] Time 0.211 (0.210) Data 0.054 (0.048) Loss 2.2025 (2.2657) Prec@1 46.875 (48.076) Prec@5 73.047 (73.271)
Epoch: [76][2920/5005] Time 0.199 (0.210) Data 0.054 (0.048) Loss 2.3212 (2.2656) Prec@1 43.750 (48.079) Prec@5 73.438 (73.273)
Epoch: [76][2930/5005] Time 0.212 (0.210) Data 0.045 (0.048) Loss 2.3912 (2.2657) Prec@1 45.312 (48.076) Prec@5 70.703 (73.272)
Epoch: [76][2940/5005] Time 0.209 (0.210) Data 0.045 (0.048) Loss 2.3548 (2.2656) Prec@1 46.875 (48.077) Prec@5 71.875 (73.277)
Epoch: [76][2950/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.3924 (2.2653) Prec@1 44.922 (48.083) Prec@5 73.438 (73.281)
Epoch: [76][2960/5005] Time 0.201 (0.210) Data 0.045 (0.048) Loss 2.3099 (2.2651) Prec@1 46.484 (48.086) Prec@5 72.266 (73.283)
Epoch: [76][2970/5005] Time 0.210 (0.210) Data 0.042 (0.048) Loss 2.2922 (2.2649) Prec@1 44.141 (48.091) Prec@5 73.828 (73.287)
Epoch: [76][2980/5005] Time 0.213 (0.210) Data 0.042 (0.048) Loss 2.4049 (2.2650) Prec@1 45.703 (48.089) Prec@5 71.094 (73.287)
Epoch: [76][2990/5005] Time 0.206 (0.210) Data 0.043 (0.048) Loss 2.1402 (2.2651) Prec@1 49.609 (48.089) Prec@5 76.562 (73.289)
Epoch: [76][3000/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.2330 (2.2648) Prec@1 48.438 (48.090) Prec@5 75.391 (73.294)
Epoch: [76][3010/5005] Time 0.218 (0.210) Data 0.046 (0.048) Loss 2.3478 (2.2650) Prec@1 45.703 (48.084) Prec@5 70.312 (73.293)
Epoch: [76][3020/5005] Time 0.205 (0.210) Data 0.048 (0.048) Loss 2.0005 (2.2650) Prec@1 48.438 (48.087) Prec@5 78.906 (73.294)
Epoch: [76][3030/5005] Time 0.215 (0.210) Data 0.046 (0.048) Loss 2.2753 (2.2650) Prec@1 51.562 (48.089) Prec@5 73.047 (73.295)
Epoch: [76][3040/5005] Time 0.210 (0.210) Data 0.042 (0.048) Loss 2.2896 (2.2648) Prec@1 46.875 (48.094) Prec@5 72.266 (73.296)
Epoch: [76][3050/5005] Time 0.216 (0.210) Data 0.045 (0.048) Loss 2.1219 (2.2648) Prec@1 47.266 (48.093) Prec@5 75.000 (73.298)
Epoch: [76][3060/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.0783 (2.2645) Prec@1 54.688 (48.095) Prec@5 76.953 (73.303)
Epoch: [76][3070/5005] Time 0.209 (0.210) Data 0.042 (0.048) Loss 2.1793 (2.2646) Prec@1 48.438 (48.091) Prec@5 74.609 (73.301)
Epoch: [76][3080/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.0895 (2.2647) Prec@1 48.828 (48.086) Prec@5 76.172 (73.302)
Epoch: [76][3090/5005] Time 0.220 (0.210) Data 0.044 (0.048) Loss 2.4467 (2.2646) Prec@1 41.797 (48.087) Prec@5 69.922 (73.304)
Epoch: [76][3100/5005] Time 0.209 (0.210) Data 0.042 (0.048) Loss 2.3035 (2.2646) Prec@1 50.000 (48.083) Prec@5 72.656 (73.302)
Epoch: [76][3110/5005] Time 0.201 (0.210) Data 0.049 (0.048) Loss 2.0374 (2.2643) Prec@1 49.609 (48.086) Prec@5 78.125 (73.307)
Epoch: [76][3120/5005] Time 0.207 (0.210) Data 0.052 (0.048) Loss 2.3511 (2.2644) Prec@1 45.312 (48.082) Prec@5 71.484 (73.304)
Epoch: [76][3130/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.3139 (2.2642) Prec@1 48.828 (48.086) Prec@5 73.438 (73.306)
Epoch: [76][3140/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.0216 (2.2640) Prec@1 51.172 (48.094) Prec@5 76.562 (73.312)
Epoch: [76][3150/5005] Time 0.212 (0.210) Data 0.042 (0.048) Loss 2.2297 (2.2638) Prec@1 50.781 (48.102) Prec@5 72.266 (73.311)
Epoch: [76][3160/5005] Time 0.203 (0.210) Data 0.047 (0.048) Loss 2.1634 (2.2638) Prec@1 47.266 (48.103) Prec@5 75.781 (73.310)
Epoch: [76][3170/5005] Time 0.198 (0.210) Data 0.045 (0.048) Loss 2.2589 (2.2638) Prec@1 51.562 (48.104) Prec@5 75.000 (73.309)
Epoch: [76][3180/5005] Time 0.214 (0.210) Data 0.044 (0.048) Loss 2.1512 (2.2638) Prec@1 51.562 (48.103) Prec@5 73.828 (73.308)
Epoch: [76][3190/5005] Time 0.209 (0.210) Data 0.044 (0.048) Loss 2.2497 (2.2639) Prec@1 48.047 (48.100) Prec@5 75.000 (73.311)
Epoch: [76][3200/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.3968 (2.2639) Prec@1 44.531 (48.100) Prec@5 69.141 (73.310)
Epoch: [76][3210/5005] Time 0.203 (0.210) Data 0.042 (0.048) Loss 2.3794 (2.2639) Prec@1 46.094 (48.101) Prec@5 70.312 (73.312)
Epoch: [76][3220/5005] Time 0.207 (0.210) Data 0.048 (0.048) Loss 2.3791 (2.2639) Prec@1 49.609 (48.102) Prec@5 67.969 (73.311)
Epoch: [76][3230/5005] Time 0.203 (0.210) Data 0.064 (0.048) Loss 2.1052 (2.2637) Prec@1 50.000 (48.109) Prec@5 73.828 (73.315)
Epoch: [76][3240/5005] Time 0.205 (0.210) Data 0.051 (0.048) Loss 2.4926 (2.2640) Prec@1 44.531 (48.106) Prec@5 70.312 (73.312)
Epoch: [76][3250/5005] Time 0.202 (0.210) Data 0.050 (0.048) Loss 2.1569 (2.2640) Prec@1 51.562 (48.107) Prec@5 75.781 (73.312)
Epoch: [76][3260/5005] Time 0.209 (0.210) Data 0.045 (0.048) Loss 2.2466 (2.2640) Prec@1 46.875 (48.105) Prec@5 75.000 (73.313)
Epoch: [76][3270/5005] Time 0.205 (0.210) Data 0.062 (0.048) Loss 2.3050 (2.2639) Prec@1 47.656 (48.106) Prec@5 69.531 (73.314)
Epoch: [76][3280/5005] Time 0.209 (0.210) Data 0.042 (0.048) Loss 2.0046 (2.2640) Prec@1 53.906 (48.106) Prec@5 76.953 (73.313)
Epoch: [76][3290/5005] Time 0.203 (0.210) Data 0.046 (0.048) Loss 2.2368 (2.2639) Prec@1 48.047 (48.107) Prec@5 72.266 (73.314)
Epoch: [76][3300/5005] Time 0.217 (0.210) Data 0.042 (0.048) Loss 2.2027 (2.2638) Prec@1 45.703 (48.105) Prec@5 73.828 (73.315)
Epoch: [76][3310/5005] Time 0.216 (0.210) Data 0.046 (0.048) Loss 2.1703 (2.2638) Prec@1 49.219 (48.106) Prec@5 76.562 (73.317)
Epoch: [76][3320/5005] Time 0.206 (0.210) Data 0.043 (0.048) Loss 2.2677 (2.2638) Prec@1 48.438 (48.107) Prec@5 72.656 (73.320)
Epoch: [76][3330/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.2639 (2.2639) Prec@1 48.438 (48.107) Prec@5 73.047 (73.320)
Epoch: [76][3340/5005] Time 0.210 (0.210) Data 0.046 (0.048) Loss 2.4135 (2.2639) Prec@1 44.531 (48.108) Prec@5 71.484 (73.320)
Epoch: [76][3350/5005] Time 0.201 (0.210) Data 0.047 (0.048) Loss 2.3636 (2.2637) Prec@1 48.047 (48.112) Prec@5 69.141 (73.322)
Epoch: [76][3360/5005] Time 0.207 (0.210) Data 0.044 (0.048) Loss 2.1219 (2.2638) Prec@1 55.469 (48.113) Prec@5 78.125 (73.324)
Epoch: [76][3370/5005] Time 0.206 (0.210) Data 0.044 (0.048) Loss 2.2308 (2.2639) Prec@1 47.656 (48.110) Prec@5 74.609 (73.322)
Epoch: [76][3380/5005] Time 0.216 (0.210) Data 0.042 (0.048) Loss 2.1561 (2.2638) Prec@1 50.000 (48.111) Prec@5 75.781 (73.322)
Epoch: [76][3390/5005] Time 0.217 (0.210) Data 0.043 (0.048) Loss 2.2387 (2.2639) Prec@1 51.562 (48.109) Prec@5 76.172 (73.319)
Epoch: [76][3400/5005] Time 0.208 (0.210) Data 0.058 (0.048) Loss 2.1468 (2.2638) Prec@1 49.609 (48.112) Prec@5 77.734 (73.323)
Epoch: [76][3410/5005] Time 0.204 (0.210) Data 0.042 (0.048) Loss 2.2649 (2.2637) Prec@1 48.438 (48.112) Prec@5 74.219 (73.324)
Epoch: [76][3420/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.2320 (2.2638) Prec@1 46.484 (48.112) Prec@5 73.047 (73.321)
Epoch: [76][3430/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.1736 (2.2637) Prec@1 48.047 (48.113) Prec@5 74.609 (73.323)
Epoch: [76][3440/5005] Time 0.211 (0.210) Data 0.040 (0.048) Loss 2.3541 (2.2636) Prec@1 48.828 (48.113) Prec@5 69.922 (73.322)
Epoch: [76][3450/5005] Time 0.211 (0.210) Data 0.045 (0.048) Loss 2.1066 (2.2635) Prec@1 53.125 (48.115) Prec@5 75.781 (73.324)
Epoch: [76][3460/5005] Time 0.204 (0.210) Data 0.060 (0.048) Loss 2.1093 (2.2635) Prec@1 51.172 (48.114) Prec@5 75.000 (73.327)
Epoch: [76][3470/5005] Time 0.214 (0.210) Data 0.041 (0.048) Loss 2.0936 (2.2633) Prec@1 51.172 (48.117) Prec@5 75.391 (73.329)
Epoch: [76][3480/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.1902 (2.2632) Prec@1 48.438 (48.119) Prec@5 73.438 (73.332)
Epoch: [76][3490/5005] Time 0.211 (0.210) Data 0.046 (0.048) Loss 2.3751 (2.2632) Prec@1 42.969 (48.117) Prec@5 73.438 (73.332)
Epoch: [76][3500/5005] Time 0.213 (0.210) Data 0.044 (0.048) Loss 2.1154 (2.2633) Prec@1 48.828 (48.114) Prec@5 77.344 (73.332)
Epoch: [76][3510/5005] Time 0.209 (0.210) Data 0.044 (0.048) Loss 2.1658 (2.2632) Prec@1 49.219 (48.112) Prec@5 76.562 (73.333)
Epoch: [76][3520/5005] Time 0.200 (0.210) Data 0.049 (0.048) Loss 2.3390 (2.2634) Prec@1 50.391 (48.112) Prec@5 71.875 (73.331)
Epoch: [76][3530/5005] Time 0.212 (0.210) Data 0.042 (0.048) Loss 2.3086 (2.2633) Prec@1 44.141 (48.115) Prec@5 74.219 (73.333)
Epoch: [76][3540/5005] Time 0.205 (0.210) Data 0.043 (0.048) Loss 2.2022 (2.2632) Prec@1 46.484 (48.117) Prec@5 75.781 (73.334)
Epoch: [76][3550/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.3852 (2.2631) Prec@1 46.484 (48.118) Prec@5 72.266 (73.334)
Epoch: [76][3560/5005] Time 0.209 (0.210) Data 0.045 (0.048) Loss 2.3665 (2.2630) Prec@1 49.609 (48.118) Prec@5 72.656 (73.336)
Epoch: [76][3570/5005] Time 0.198 (0.210) Data 0.049 (0.048) Loss 2.2924 (2.2630) Prec@1 50.781 (48.118) Prec@5 73.047 (73.334)
Epoch: [76][3580/5005] Time 0.198 (0.210) Data 0.050 (0.048) Loss 2.1026 (2.2630) Prec@1 50.781 (48.117) Prec@5 75.391 (73.331)
Epoch: [76][3590/5005] Time 0.208 (0.210) Data 0.054 (0.048) Loss 2.2656 (2.2628) Prec@1 47.656 (48.123) Prec@5 72.656 (73.337)
Epoch: [76][3600/5005] Time 0.214 (0.210) Data 0.042 (0.048) Loss 2.4023 (2.2627) Prec@1 48.047 (48.125) Prec@5 71.875 (73.336)
Epoch: [76][3610/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.0882 (2.2626) Prec@1 52.344 (48.123) Prec@5 77.734 (73.339)
Epoch: [76][3620/5005] Time 0.197 (0.210) Data 0.043 (0.048) Loss 2.4568 (2.2624) Prec@1 42.188 (48.130) Prec@5 69.531 (73.344)
Epoch: [76][3630/5005] Time 0.205 (0.210) Data 0.044 (0.048) Loss 2.4001 (2.2623) Prec@1 45.703 (48.131) Prec@5 71.484 (73.346)
Epoch: [76][3640/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.2358 (2.2624) Prec@1 43.359 (48.129) Prec@5 73.828 (73.342)
Epoch: [76][3650/5005] Time 0.207 (0.210) Data 0.043 (0.048) Loss 2.1264 (2.2623) Prec@1 47.266 (48.129) Prec@5 78.516 (73.345)
Epoch: [76][3660/5005] Time 0.214 (0.210) Data 0.044 (0.048) Loss 2.3890 (2.2621) Prec@1 44.922 (48.131) Prec@5 72.266 (73.349)
Epoch: [76][3670/5005] Time 0.206 (0.210) Data 0.045 (0.048) Loss 2.4718 (2.2623) Prec@1 44.922 (48.129) Prec@5 67.578 (73.346)
Epoch: [76][3680/5005] Time 0.205 (0.210) Data 0.045 (0.048) Loss 2.1079 (2.2624) Prec@1 46.094 (48.129) Prec@5 76.562 (73.346)
Epoch: [76][3690/5005] Time 0.206 (0.210) Data 0.047 (0.048) Loss 2.0406 (2.2623) Prec@1 48.047 (48.126) Prec@5 74.219 (73.347)
Epoch: [76][3700/5005] Time 0.214 (0.210) Data 0.043 (0.048) Loss 2.3934 (2.2624) Prec@1 44.531 (48.124) Prec@5 71.875 (73.344)
Epoch: [76][3710/5005] Time 0.213 (0.210) Data 0.046 (0.048) Loss 2.2398 (2.2625) Prec@1 48.438 (48.122) Prec@5 74.609 (73.342)
Epoch: [76][3720/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.2432 (2.2623) Prec@1 50.781 (48.125) Prec@5 73.047 (73.343)
Epoch: [76][3730/5005] Time 0.212 (0.210) Data 0.047 (0.048) Loss 2.2273 (2.2623) Prec@1 47.266 (48.125) Prec@5 75.781 (73.342)
Epoch: [76][3740/5005] Time 0.214 (0.210) Data 0.045 (0.048) Loss 2.1244 (2.2620) Prec@1 53.516 (48.131) Prec@5 76.953 (73.347)
Epoch: [76][3750/5005] Time 0.210 (0.210) Data 0.051 (0.048) Loss 2.1058 (2.2620) Prec@1 51.953 (48.133) Prec@5 74.219 (73.346)
Epoch: [76][3760/5005] Time 0.213 (0.210) Data 0.045 (0.048) Loss 2.3377 (2.2621) Prec@1 48.438 (48.131) Prec@5 72.656 (73.345)
Epoch: [76][3770/5005] Time 0.196 (0.210) Data 0.058 (0.048) Loss 2.3641 (2.2620) Prec@1 48.047 (48.130) Prec@5 70.703 (73.346)
Epoch: [76][3780/5005] Time 0.203 (0.210) Data 0.049 (0.048) Loss 2.3046 (2.2619) Prec@1 47.656 (48.131) Prec@5 72.656 (73.348)
Epoch: [76][3790/5005] Time 0.209 (0.210) Data 0.045 (0.048) Loss 2.3693 (2.2620) Prec@1 46.484 (48.131) Prec@5 73.828 (73.346)
Epoch: [76][3800/5005] Time 0.219 (0.210) Data 0.042 (0.048) Loss 2.1870 (2.2621) Prec@1 46.484 (48.132) Prec@5 73.438 (73.344)
Epoch: [76][3810/5005] Time 0.191 (0.210) Data 0.043 (0.048) Loss 2.2045 (2.2622) Prec@1 51.562 (48.131) Prec@5 75.000 (73.343)
Epoch: [76][3820/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.2111 (2.2620) Prec@1 47.266 (48.134) Prec@5 75.000 (73.346)
Epoch: [76][3830/5005] Time 0.213 (0.210) Data 0.047 (0.048) Loss 2.2506 (2.2618) Prec@1 45.312 (48.136) Prec@5 73.828 (73.351)
Epoch: [76][3840/5005] Time 0.209 (0.210) Data 0.044 (0.048) Loss 2.4387 (2.2619) Prec@1 43.359 (48.133) Prec@5 69.141 (73.348)
Epoch: [76][3850/5005] Time 0.202 (0.210) Data 0.060 (0.048) Loss 2.1838 (2.2618) Prec@1 50.781 (48.135) Prec@5 74.609 (73.351)
Epoch: [76][3860/5005] Time 0.197 (0.210) Data 0.052 (0.048) Loss 2.0768 (2.2618) Prec@1 50.391 (48.133) Prec@5 75.781 (73.350)
Epoch: [76][3870/5005] Time 0.198 (0.210) Data 0.056 (0.048) Loss 2.2916 (2.2618) Prec@1 50.391 (48.133) Prec@5 72.266 (73.351)
Epoch: [76][3880/5005] Time 0.208 (0.210) Data 0.042 (0.048) Loss 2.0182 (2.2618) Prec@1 55.469 (48.134) Prec@5 80.078 (73.351)
Epoch: [76][3890/5005] Time 0.201 (0.210) Data 0.042 (0.048) Loss 2.4621 (2.2618) Prec@1 45.312 (48.133) Prec@5 69.922 (73.351)
Epoch: [76][3900/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.4877 (2.2618) Prec@1 44.531 (48.130) Prec@5 71.094 (73.348)
Epoch: [76][3910/5005] Time 0.204 (0.210) Data 0.041 (0.048) Loss 2.3421 (2.2618) Prec@1 44.922 (48.130) Prec@5 72.656 (73.348)
Epoch: [76][3920/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.2418 (2.2618) Prec@1 46.875 (48.132) Prec@5 74.219 (73.346)
Epoch: [76][3930/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.2246 (2.2616) Prec@1 46.875 (48.134) Prec@5 73.828 (73.349)
Epoch: [76][3940/5005] Time 0.204 (0.210) Data 0.040 (0.048) Loss 2.2385 (2.2617) Prec@1 48.438 (48.133) Prec@5 73.047 (73.347)
Epoch: [76][3950/5005] Time 0.208 (0.210) Data 0.044 (0.048) Loss 2.1480 (2.2615) Prec@1 51.172 (48.137) Prec@5 75.000 (73.352)
Epoch: [76][3960/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.2005 (2.2614) Prec@1 50.391 (48.138) Prec@5 73.047 (73.351)
Epoch: [76][3970/5005] Time 0.209 (0.210) Data 0.044 (0.048) Loss 2.1753 (2.2613) Prec@1 50.000 (48.138) Prec@5 73.828 (73.353)
Epoch: [76][3980/5005] Time 0.204 (0.210) Data 0.046 (0.048) Loss 2.1817 (2.2612) Prec@1 46.484 (48.140) Prec@5 73.438 (73.352)
Epoch: [76][3990/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.3453 (2.2613) Prec@1 45.312 (48.138) Prec@5 73.828 (73.351)
Epoch: [76][4000/5005] Time 0.205 (0.210) Data 0.043 (0.048) Loss 2.1502 (2.2613) Prec@1 49.219 (48.138) Prec@5 73.828 (73.349)
Epoch: [76][4010/5005] Time 0.206 (0.210) Data 0.041 (0.048) Loss 2.1978 (2.2611) Prec@1 45.312 (48.141) Prec@5 73.047 (73.353)
Epoch: [76][4020/5005] Time 0.216 (0.210) Data 0.049 (0.048) Loss 2.5169 (2.2611) Prec@1 43.359 (48.142) Prec@5 69.531 (73.353)
Epoch: [76][4030/5005] Time 0.204 (0.210) Data 0.044 (0.048) Loss 2.5023 (2.2613) Prec@1 43.750 (48.140) Prec@5 68.359 (73.351)
Epoch: [76][4040/5005] Time 0.211 (0.210) Data 0.044 (0.047) Loss 2.1271 (2.2614) Prec@1 48.828 (48.136) Prec@5 73.047 (73.349)
Epoch: [76][4050/5005] Time 0.212 (0.210) Data 0.045 (0.047) Loss 2.5409 (2.2614) Prec@1 39.844 (48.138) Prec@5 70.703 (73.351)
Epoch: [76][4060/5005] Time 0.214 (0.210) Data 0.042 (0.047) Loss 2.3928 (2.2613) Prec@1 42.578 (48.136) Prec@5 71.094 (73.351)
Epoch: [76][4070/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.4031 (2.2612) Prec@1 44.922 (48.136) Prec@5 72.656 (73.353)
Epoch: [76][4080/5005] Time 0.209 (0.210) Data 0.061 (0.047) Loss 2.2554 (2.2612) Prec@1 48.047 (48.138) Prec@5 71.875 (73.352)
Epoch: [76][4090/5005] Time 0.206 (0.210) Data 0.047 (0.047) Loss 2.3315 (2.2612) Prec@1 48.438 (48.137) Prec@5 71.484 (73.350)
Epoch: [76][4100/5005] Time 0.199 (0.210) Data 0.058 (0.047) Loss 2.1605 (2.2611) Prec@1 49.609 (48.137) Prec@5 74.219 (73.352)
Epoch: [76][4110/5005] Time 0.210 (0.210) Data 0.050 (0.048) Loss 2.4366 (2.2611) Prec@1 42.969 (48.138) Prec@5 71.875 (73.352)
Epoch: [76][4120/5005] Time 0.218 (0.210) Data 0.043 (0.048) Loss 2.3224 (2.2609) Prec@1 46.484 (48.140) Prec@5 69.922 (73.355)
Epoch: [76][4130/5005] Time 0.218 (0.210) Data 0.044 (0.048) Loss 2.3783 (2.2608) Prec@1 42.969 (48.143) Prec@5 71.484 (73.357)
Epoch: [76][4140/5005] Time 0.215 (0.210) Data 0.047 (0.048) Loss 2.2531 (2.2608) Prec@1 49.609 (48.144) Prec@5 74.609 (73.357)
Epoch: [76][4150/5005] Time 0.209 (0.210) Data 0.045 (0.048) Loss 2.4457 (2.2608) Prec@1 43.359 (48.145) Prec@5 72.266 (73.357)
Epoch: [76][4160/5005] Time 0.202 (0.210) Data 0.040 (0.047) Loss 2.2878 (2.2609) Prec@1 46.094 (48.143) Prec@5 76.172 (73.357)
Epoch: [76][4170/5005] Time 0.211 (0.210) Data 0.047 (0.047) Loss 2.1510 (2.2608) Prec@1 50.000 (48.145) Prec@5 76.172 (73.359)
Epoch: [76][4180/5005] Time 0.198 (0.210) Data 0.058 (0.047) Loss 2.1806 (2.2607) Prec@1 50.000 (48.147) Prec@5 74.609 (73.360)
Epoch: [76][4190/5005] Time 0.209 (0.210) Data 0.061 (0.048) Loss 2.0956 (2.2607) Prec@1 50.391 (48.148) Prec@5 74.609 (73.361)
Epoch: [76][4200/5005] Time 0.202 (0.210) Data 0.047 (0.048) Loss 2.1565 (2.2606) Prec@1 46.094 (48.147) Prec@5 75.000 (73.364)
Epoch: [76][4210/5005] Time 0.211 (0.210) Data 0.047 (0.048) Loss 2.0897 (2.2605) Prec@1 48.828 (48.148) Prec@5 73.438 (73.365)
Epoch: [76][4220/5005] Time 0.206 (0.210) Data 0.046 (0.048) Loss 2.3912 (2.2607) Prec@1 44.922 (48.146) Prec@5 70.312 (73.363)
Epoch: [76][4230/5005] Time 0.204 (0.210) Data 0.044 (0.048) Loss 2.2709 (2.2607) Prec@1 50.000 (48.147) Prec@5 73.047 (73.363)
Epoch: [76][4240/5005] Time 0.198 (0.210) Data 0.040 (0.048) Loss 2.0466 (2.2607) Prec@1 50.000 (48.146) Prec@5 77.734 (73.364)
Epoch: [76][4250/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.2104 (2.2605) Prec@1 50.000 (48.147) Prec@5 73.828 (73.365)
Epoch: [76][4260/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.3129 (2.2606) Prec@1 44.922 (48.143) Prec@5 69.531 (73.362)
Epoch: [76][4270/5005] Time 0.212 (0.210) Data 0.060 (0.048) Loss 2.3863 (2.2607) Prec@1 50.000 (48.142) Prec@5 72.266 (73.362)
Epoch: [76][4280/5005] Time 0.204 (0.210) Data 0.058 (0.048) Loss 2.3904 (2.2607) Prec@1 44.531 (48.142) Prec@5 73.438 (73.362)
Epoch: [76][4290/5005] Time 0.201 (0.210) Data 0.049 (0.048) Loss 2.5607 (2.2607) Prec@1 42.578 (48.142) Prec@5 67.188 (73.361)
Epoch: [76][4300/5005] Time 0.209 (0.210) Data 0.062 (0.048) Loss 2.1312 (2.2606) Prec@1 50.781 (48.145) Prec@5 73.438 (73.361)
Epoch: [76][4310/5005] Time 0.211 (0.210) Data 0.052 (0.048) Loss 2.2445 (2.2606) Prec@1 50.000 (48.147) Prec@5 76.172 (73.362)
Epoch: [76][4320/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.2559 (2.2605) Prec@1 44.922 (48.148) Prec@5 73.828 (73.363)
Epoch: [76][4330/5005] Time 0.201 (0.210) Data 0.048 (0.048) Loss 2.2408 (2.2605) Prec@1 43.750 (48.147) Prec@5 72.266 (73.364)
Epoch: [76][4340/5005] Time 0.216 (0.210) Data 0.044 (0.048) Loss 2.3602 (2.2606) Prec@1 47.266 (48.145) Prec@5 69.922 (73.362)
Epoch: [76][4350/5005] Time 0.214 (0.210) Data 0.060 (0.048) Loss 2.3913 (2.2606) Prec@1 48.047 (48.146) Prec@5 73.047 (73.364)
Epoch: [76][4360/5005] Time 0.214 (0.210) Data 0.060 (0.048) Loss 2.0284 (2.2605) Prec@1 50.391 (48.146) Prec@5 78.125 (73.366)
Epoch: [76][4370/5005] Time 0.209 (0.210) Data 0.042 (0.048) Loss 2.2229 (2.2604) Prec@1 49.219 (48.149) Prec@5 75.391 (73.368)
Epoch: [76][4380/5005] Time 0.215 (0.210) Data 0.043 (0.048) Loss 2.2750 (2.2604) Prec@1 46.094 (48.149) Prec@5 71.094 (73.368)
Epoch: [76][4390/5005] Time 0.219 (0.210) Data 0.042 (0.048) Loss 2.2849 (2.2603) Prec@1 50.781 (48.152) Prec@5 71.875 (73.371)
Epoch: [76][4400/5005] Time 0.202 (0.210) Data 0.049 (0.048) Loss 2.2817 (2.2603) Prec@1 49.609 (48.155) Prec@5 73.438 (73.372)
Epoch: [76][4410/5005] Time 0.201 (0.210) Data 0.048 (0.048) Loss 2.2571 (2.2602) Prec@1 46.094 (48.155) Prec@5 74.609 (73.374)
Epoch: [76][4420/5005] Time 0.212 (0.210) Data 0.042 (0.048) Loss 1.9297 (2.2601) Prec@1 54.297 (48.158) Prec@5 78.516 (73.376)
Epoch: [76][4430/5005] Time 0.213 (0.210) Data 0.042 (0.048) Loss 2.3917 (2.2600) Prec@1 44.531 (48.161) Prec@5 71.484 (73.377)
Epoch: [76][4440/5005] Time 0.207 (0.210) Data 0.048 (0.048) Loss 2.4235 (2.2600) Prec@1 44.922 (48.161) Prec@5 69.922 (73.377)
Epoch: [76][4450/5005] Time 0.208 (0.210) Data 0.045 (0.048) Loss 2.1104 (2.2599) Prec@1 46.875 (48.161) Prec@5 75.781 (73.379)
Epoch: [76][4460/5005] Time 0.213 (0.210) Data 0.045 (0.048) Loss 2.3049 (2.2598) Prec@1 48.047 (48.163) Prec@5 73.438 (73.380)
Epoch: [76][4470/5005] Time 0.211 (0.210) Data 0.042 (0.048) Loss 2.2002 (2.2598) Prec@1 46.484 (48.165) Prec@5 74.609 (73.382)
Epoch: [76][4480/5005] Time 0.209 (0.210) Data 0.046 (0.048) Loss 2.0899 (2.2599) Prec@1 47.266 (48.162) Prec@5 76.953 (73.381)
Epoch: [76][4490/5005] Time 0.215 (0.210) Data 0.050 (0.048) Loss 2.1791 (2.2600) Prec@1 48.438 (48.163) Prec@5 75.000 (73.381)
Epoch: [76][4500/5005] Time 0.220 (0.210) Data 0.045 (0.048) Loss 2.1621 (2.2599) Prec@1 49.609 (48.165) Prec@5 76.953 (73.384)
Epoch: [76][4510/5005] Time 0.204 (0.210) Data 0.050 (0.048) Loss 2.0861 (2.2598) Prec@1 50.000 (48.165) Prec@5 78.516 (73.385)
Epoch: [76][4520/5005] Time 0.217 (0.210) Data 0.043 (0.048) Loss 2.1889 (2.2597) Prec@1 50.000 (48.169) Prec@5 75.391 (73.388)
Epoch: [76][4530/5005] Time 0.205 (0.210) Data 0.054 (0.048) Loss 2.1693 (2.2597) Prec@1 49.609 (48.169) Prec@5 75.000 (73.387)
Epoch: [76][4540/5005] Time 0.205 (0.210) Data 0.047 (0.048) Loss 2.4476 (2.2598) Prec@1 49.609 (48.167) Prec@5 72.656 (73.386)
Epoch: [76][4550/5005] Time 0.214 (0.210) Data 0.042 (0.048) Loss 2.2507 (2.2597) Prec@1 46.875 (48.169) Prec@5 72.656 (73.387)
Epoch: [76][4560/5005] Time 0.206 (0.210) Data 0.042 (0.048) Loss 2.2155 (2.2597) Prec@1 48.828 (48.170) Prec@5 74.219 (73.388)
Epoch: [76][4570/5005] Time 0.213 (0.210) Data 0.046 (0.048) Loss 2.3070 (2.2596) Prec@1 51.953 (48.173) Prec@5 73.438 (73.389)
Epoch: [76][4580/5005] Time 0.205 (0.210) Data 0.046 (0.048) Loss 2.4604 (2.2596) Prec@1 43.750 (48.174) Prec@5 69.141 (73.387)
Epoch: [76][4590/5005] Time 0.199 (0.210) Data 0.049 (0.048) Loss 2.0398 (2.2596) Prec@1 54.297 (48.172) Prec@5 76.562 (73.388)
Epoch: [76][4600/5005] Time 0.198 (0.210) Data 0.046 (0.048) Loss 2.0758 (2.2596) Prec@1 51.953 (48.171) Prec@5 78.516 (73.388)
Epoch: [76][4610/5005] Time 0.206 (0.210) Data 0.051 (0.048) Loss 2.0349 (2.2596) Prec@1 51.172 (48.173) Prec@5 75.391 (73.388)
Epoch: [76][4620/5005] Time 0.200 (0.209) Data 0.048 (0.048) Loss 2.1107 (2.2595) Prec@1 50.391 (48.176) Prec@5 75.781 (73.390)
Epoch: [76][4630/5005] Time 0.207 (0.209) Data 0.049 (0.048) Loss 2.1257 (2.2594) Prec@1 49.219 (48.179) Prec@5 75.391 (73.393)
Epoch: [76][4640/5005] Time 0.201 (0.209) Data 0.042 (0.048) Loss 2.3317 (2.2594) Prec@1 48.438 (48.179) Prec@5 72.266 (73.392)
Epoch: [76][4650/5005] Time 0.210 (0.209) Data 0.043 (0.048) Loss 2.3160 (2.2594) Prec@1 45.703 (48.179) Prec@5 71.484 (73.391)
Epoch: [76][4660/5005] Time 0.213 (0.209) Data 0.042 (0.048) Loss 2.4679 (2.2593) Prec@1 45.703 (48.179) Prec@5 65.625 (73.390)
Epoch: [76][4670/5005] Time 0.210 (0.209) Data 0.044 (0.048) Loss 2.1226 (2.2592) Prec@1 49.219 (48.182) Prec@5 76.172 (73.392)
Epoch: [76][4680/5005] Time 0.206 (0.209) Data 0.044 (0.048) Loss 2.2550 (2.2591) Prec@1 46.875 (48.184) Prec@5 74.219 (73.391)
Epoch: [76][4690/5005] Time 0.212 (0.209) Data 0.043 (0.048) Loss 2.2688 (2.2592) Prec@1 44.531 (48.181) Prec@5 68.750 (73.393)
Epoch: [76][4700/5005] Time 0.215 (0.209) Data 0.043 (0.048) Loss 2.1675 (2.2591) Prec@1 52.734 (48.183) Prec@5 75.781 (73.396)
Epoch: [76][4710/5005] Time 0.212 (0.209) Data 0.044 (0.048) Loss 2.0873 (2.2589) Prec@1 49.609 (48.188) Prec@5 78.125 (73.399)
Epoch: [76][4720/5005] Time 0.200 (0.209) Data 0.042 (0.048) Loss 2.0804 (2.2589) Prec@1 51.172 (48.187) Prec@5 79.297 (73.400)
Epoch: [76][4730/5005] Time 0.197 (0.209) Data 0.043 (0.048) Loss 2.2130 (2.2590) Prec@1 48.828 (48.187) Prec@5 73.828 (73.396)
Epoch: [76][4740/5005] Time 0.198 (0.209) Data 0.045 (0.048) Loss 2.2209 (2.2589) Prec@1 46.094 (48.189) Prec@5 75.781 (73.397)
Epoch: [76][4750/5005] Time 0.209 (0.209) Data 0.045 (0.048) Loss 2.2150 (2.2588) Prec@1 48.438 (48.191) Prec@5 75.781 (73.400)
Epoch: [76][4760/5005] Time 0.205 (0.209) Data 0.041 (0.048) Loss 2.4185 (2.2586) Prec@1 42.578 (48.193) Prec@5 71.484 (73.402)
Epoch: [76][4770/5005] Time 0.206 (0.209) Data 0.042 (0.048) Loss 2.0952 (2.2586) Prec@1 53.125 (48.196) Prec@5 77.734 (73.403)
Epoch: [76][4780/5005] Time 0.202 (0.209) Data 0.042 (0.048) Loss 2.3053 (2.2586) Prec@1 48.828 (48.197) Prec@5 73.828 (73.403)
Epoch: [76][4790/5005] Time 0.198 (0.209) Data 0.048 (0.048) Loss 2.5831 (2.2587) Prec@1 43.359 (48.200) Prec@5 69.531 (73.405)
Epoch: [76][4800/5005] Time 0.209 (0.209) Data 0.062 (0.048) Loss 2.2788 (2.2586) Prec@1 46.094 (48.202) Prec@5 71.094 (73.406)
Epoch: [76][4810/5005] Time 0.202 (0.209) Data 0.052 (0.048) Loss 2.3745 (2.2585) Prec@1 46.484 (48.203) Prec@5 71.484 (73.406)
Epoch: [76][4820/5005] Time 0.200 (0.209) Data 0.055 (0.048) Loss 2.2926 (2.2584) Prec@1 49.219 (48.207) Prec@5 71.875 (73.406)
Epoch: [76][4830/5005] Time 0.212 (0.209) Data 0.047 (0.048) Loss 2.2573 (2.2583) Prec@1 48.438 (48.210) Prec@5 72.656 (73.407)
Epoch: [76][4840/5005] Time 0.205 (0.209) Data 0.045 (0.048) Loss 2.0441 (2.2583) Prec@1 50.781 (48.208) Prec@5 75.000 (73.406)
Epoch: [76][4850/5005] Time 0.193 (0.209) Data 0.045 (0.048) Loss 2.3142 (2.2585) Prec@1 45.703 (48.207) Prec@5 71.484 (73.404)
Epoch: [76][4860/5005] Time 0.207 (0.209) Data 0.056 (0.048) Loss 2.2203 (2.2584) Prec@1 44.922 (48.204) Prec@5 73.438 (73.405)
Epoch: [76][4870/5005] Time 0.210 (0.209) Data 0.047 (0.048) Loss 2.1013 (2.2584) Prec@1 53.516 (48.205) Prec@5 72.266 (73.403)
Epoch: [76][4880/5005] Time 0.216 (0.209) Data 0.043 (0.048) Loss 2.1148 (2.2583) Prec@1 50.391 (48.207) Prec@5 75.391 (73.405)
Epoch: [76][4890/5005] Time 0.204 (0.209) Data 0.055 (0.048) Loss 2.2989 (2.2583) Prec@1 46.484 (48.209) Prec@5 71.484 (73.405)
Epoch: [76][4900/5005] Time 0.204 (0.209) Data 0.052 (0.048) Loss 2.1130 (2.2582) Prec@1 51.953 (48.211) Prec@5 74.609 (73.406)
Epoch: [76][4910/5005] Time 0.217 (0.209) Data 0.052 (0.048) Loss 2.2773 (2.2581) Prec@1 49.609 (48.216) Prec@5 73.438 (73.409)
Epoch: [76][4920/5005] Time 0.198 (0.209) Data 0.055 (0.048) Loss 2.1763 (2.2580) Prec@1 49.219 (48.216) Prec@5 74.219 (73.408)
Epoch: [76][4930/5005] Time 0.196 (0.209) Data 0.043 (0.048) Loss 2.3439 (2.2580) Prec@1 46.094 (48.216) Prec@5 70.703 (73.411)
Epoch: [76][4940/5005] Time 0.211 (0.209) Data 0.046 (0.048) Loss 2.1988 (2.2580) Prec@1 52.734 (48.216) Prec@5 73.828 (73.409)
Epoch: [76][4950/5005] Time 0.209 (0.209) Data 0.043 (0.048) Loss 1.9936 (2.2580) Prec@1 52.344 (48.214) Prec@5 76.562 (73.409)
Epoch: [76][4960/5005] Time 0.207 (0.209) Data 0.041 (0.048) Loss 2.3370 (2.2580) Prec@1 51.953 (48.214) Prec@5 73.828 (73.410)
Epoch: [76][4970/5005] Time 0.211 (0.209) Data 0.044 (0.048) Loss 2.4375 (2.2579) Prec@1 43.359 (48.217) Prec@5 71.484 (73.411)
Epoch: [76][4980/5005] Time 0.216 (0.209) Data 0.043 (0.048) Loss 2.1564 (2.2578) Prec@1 53.516 (48.221) Prec@5 77.344 (73.416)
Epoch: [76][4990/5005] Time 0.203 (0.209) Data 0.031 (0.048) Loss 2.5431 (2.2577) Prec@1 42.578 (48.223) Prec@5 68.750 (73.417)
Epoch: [76][5000/5005] Time 0.207 (0.209) Data 0.021 (0.048) Loss 2.2606 (2.2577) Prec@1 46.094 (48.222) Prec@5 75.391 (73.416)
Test: [0/196] Time 1.737 (1.737) Loss 2.3599 (2.3599) Prec@1 47.266 (47.266) Prec@5 70.703 (70.703)
Test: [10/196] Time 0.407 (0.311) Loss 2.4366 (2.5506) Prec@1 44.531 (43.679) Prec@5 72.266 (69.602)
Test: [20/196] Time 0.044 (0.240) Loss 2.4265 (2.5521) Prec@1 45.703 (43.471) Prec@5 72.266 (69.401)
Test: [30/196] Time 0.132 (0.209) Loss 2.4490 (2.5527) Prec@1 41.797 (43.448) Prec@5 70.312 (69.380)
Test: [40/196] Time 0.045 (0.204) Loss 2.2797 (2.5488) Prec@1 50.391 (43.731) Prec@5 74.219 (69.398)
Test: [50/196] Time 0.044 (0.195) Loss 2.6394 (2.5512) Prec@1 46.875 (43.873) Prec@5 69.531 (69.424)
Test: [60/196] Time 0.256 (0.193) Loss 2.4925 (2.5362) Prec@1 46.094 (44.147) Prec@5 70.312 (69.557)
Test: [70/196] Time 0.053 (0.197) Loss 2.4469 (2.5296) Prec@1 47.656 (44.295) Prec@5 68.750 (69.608)
Test: [80/196] Time 0.068 (0.188) Loss 2.3238 (2.5349) Prec@1 53.125 (44.358) Prec@5 75.781 (69.531)
Test: [90/196] Time 0.044 (0.186) Loss 2.6669 (2.5380) Prec@1 46.484 (44.342) Prec@5 66.797 (69.463)
Test: [100/196] Time 0.090 (0.184) Loss 2.5836 (2.5346) Prec@1 46.484 (44.562) Prec@5 69.141 (69.489)
Test: [110/196] Time 0.050 (0.187) Loss 2.7394 (2.5382) Prec@1 39.062 (44.595) Prec@5 63.672 (69.493)
Test: [120/196] Time 0.043 (0.185) Loss 2.3359 (2.5336) Prec@1 44.922 (44.612) Prec@5 72.656 (69.596)
Test: [130/196] Time 0.049 (0.182) Loss 2.2490 (2.5294) Prec@1 47.656 (44.722) Prec@5 75.391 (69.633)
Test: [140/196] Time 0.044 (0.183) Loss 2.3671 (2.5309) Prec@1 47.266 (44.645) Prec@5 70.703 (69.589)
Test: [150/196] Time 0.044 (0.181) Loss 2.1737 (2.5308) Prec@1 51.953 (44.635) Prec@5 78.906 (69.630)
Test: [160/196] Time 0.238 (0.181) Loss 2.5140 (2.5298) Prec@1 48.047 (44.653) Prec@5 69.141 (69.616)
Test: [170/196] Time 0.087 (0.179) Loss 2.5041 (2.5319) Prec@1 42.578 (44.611) Prec@5 72.656 (69.607)
Test: [180/196] Time 0.264 (0.180) Loss 2.7739 (2.5367) Prec@1 41.797 (44.531) Prec@5 65.625 (69.525)
Test: [190/196] Time 0.117 (0.179) Loss 2.7746 (2.5395) Prec@1 40.234 (44.474) Prec@5 64.453 (69.382)
* Prec@1 44.472 Prec@5 69.370
Learning rate: 1e-06
Epoch: [77][0/5005] Time 1.040 (1.040) Data 0.938 (0.938) Loss 2.2901 (2.2901) Prec@1 45.703 (45.703) Prec@5 72.656 (72.656)
Epoch: [77][10/5005] Time 0.209 (0.286) Data 0.044 (0.130) Loss 2.2434 (2.2656) Prec@1 51.172 (47.195) Prec@5 71.094 (73.295)
Epoch: [77][20/5005] Time 0.206 (0.246) Data 0.042 (0.090) Loss 2.4065 (2.2798) Prec@1 46.094 (47.005) Prec@5 73.047 (73.289)
Epoch: [77][30/5005] Time 0.206 (0.232) Data 0.043 (0.076) Loss 2.2096 (2.2451) Prec@1 52.344 (47.996) Prec@5 73.828 (73.362)
Epoch: [77][40/5005] Time 0.218 (0.226) Data 0.044 (0.069) Loss 2.3294 (2.2581) Prec@1 46.875 (47.856) Prec@5 71.094 (73.114)
Epoch: [77][50/5005] Time 0.206 (0.221) Data 0.048 (0.064) Loss 2.1679 (2.2570) Prec@1 45.312 (47.733) Prec@5 79.297 (73.139)
Epoch: [77][60/5005] Time 0.206 (0.218) Data 0.043 (0.061) Loss 2.1664 (2.2643) Prec@1 46.094 (47.650) Prec@5 78.125 (73.149)
Epoch: [77][70/5005] Time 0.206 (0.216) Data 0.047 (0.059) Loss 2.3306 (2.2759) Prec@1 48.438 (47.706) Prec@5 71.484 (73.047)
Epoch: [77][80/5005] Time 0.209 (0.215) Data 0.046 (0.058) Loss 2.1691 (2.2725) Prec@1 53.906 (47.767) Prec@5 75.000 (73.225)
Epoch: [77][90/5005] Time 0.194 (0.213) Data 0.047 (0.057) Loss 2.2526 (2.2709) Prec@1 53.125 (47.879) Prec@5 72.266 (73.244)
Epoch: [77][100/5005] Time 0.201 (0.212) Data 0.046 (0.056) Loss 2.0298 (2.2701) Prec@1 49.609 (47.908) Prec@5 77.734 (73.225)
Epoch: [77][110/5005] Time 0.207 (0.211) Data 0.049 (0.055) Loss 2.3048 (2.2726) Prec@1 51.172 (48.005) Prec@5 71.484 (73.128)
Epoch: [77][120/5005] Time 0.204 (0.210) Data 0.042 (0.055) Loss 2.3168 (2.2744) Prec@1 46.484 (48.021) Prec@5 73.438 (73.050)
Epoch: [77][130/5005] Time 0.207 (0.209) Data 0.048 (0.054) Loss 2.3301 (2.2748) Prec@1 46.875 (47.972) Prec@5 71.875 (73.059)
Epoch: [77][140/5005] Time 0.205 (0.209) Data 0.048 (0.054) Loss 2.3813 (2.2721) Prec@1 46.875 (47.983) Prec@5 71.484 (73.116)
Epoch: [77][150/5005] Time 0.206 (0.209) Data 0.059 (0.054) Loss 2.2828 (2.2732) Prec@1 49.219 (48.011) Prec@5 73.828 (73.119)
Epoch: [77][160/5005] Time 0.199 (0.208) Data 0.048 (0.053) Loss 2.2841 (2.2777) Prec@1 48.047 (47.947) Prec@5 73.438 (73.108)
Epoch: [77][170/5005] Time 0.209 (0.208) Data 0.051 (0.053) Loss 2.2317 (2.2762) Prec@1 48.438 (47.967) Prec@5 73.438 (73.163)
Epoch: [77][180/5005] Time 0.223 (0.209) Data 0.049 (0.053) Loss 2.4328 (2.2760) Prec@1 49.219 (48.021) Prec@5 69.531 (73.172)
Epoch: [77][190/5005] Time 0.220 (0.210) Data 0.054 (0.053) Loss 2.4375 (2.2793) Prec@1 46.875 (47.924) Prec@5 69.141 (73.106)
Epoch: [77][200/5005] Time 0.227 (0.210) Data 0.046 (0.053) Loss 2.5123 (2.2798) Prec@1 39.453 (47.858) Prec@5 70.312 (73.128)
Epoch: [77][210/5005] Time 0.215 (0.211) Data 0.050 (0.052) Loss 2.0713 (2.2806) Prec@1 47.656 (47.862) Prec@5 76.953 (73.104)
Epoch: [77][220/5005] Time 0.224 (0.211) Data 0.043 (0.052) Loss 2.2318 (2.2806) Prec@1 49.609 (47.806) Prec@5 75.000 (73.077)
Epoch: [77][230/5005] Time 0.220 (0.211) Data 0.046 (0.052) Loss 2.3370 (2.2801) Prec@1 49.609 (47.841) Prec@5 72.266 (73.111)
Epoch: [77][240/5005] Time 0.220 (0.212) Data 0.045 (0.052) Loss 2.1192 (2.2796) Prec@1 52.344 (47.818) Prec@5 75.391 (73.120)
Epoch: [77][250/5005] Time 0.227 (0.212) Data 0.051 (0.051) Loss 2.3880 (2.2783) Prec@1 43.750 (47.854) Prec@5 72.266 (73.162)
Epoch: [77][260/5005] Time 0.214 (0.212) Data 0.042 (0.051) Loss 2.1185 (2.2774) Prec@1 52.734 (47.887) Prec@5 73.828 (73.164)
Epoch: [77][270/5005] Time 0.215 (0.213) Data 0.047 (0.051) Loss 2.2062 (2.2776) Prec@1 50.391 (47.871) Prec@5 75.781 (73.164)
Epoch: [77][280/5005] Time 0.214 (0.213) Data 0.046 (0.051) Loss 2.7006 (2.2800) Prec@1 39.453 (47.847) Prec@5 64.844 (73.100)
Epoch: [77][290/5005] Time 0.225 (0.213) Data 0.049 (0.051) Loss 2.3441 (2.2824) Prec@1 47.656 (47.757) Prec@5 71.875 (73.056)
Epoch: [77][300/5005] Time 0.222 (0.213) Data 0.047 (0.051) Loss 2.1508 (2.2826) Prec@1 48.828 (47.755) Prec@5 77.734 (73.059)
Epoch: [77][310/5005] Time 0.218 (0.213) Data 0.043 (0.050) Loss 2.0868 (2.2790) Prec@1 51.172 (47.841) Prec@5 75.000 (73.103)
Epoch: [77][320/5005] Time 0.218 (0.213) Data 0.044 (0.050) Loss 2.4682 (2.2802) Prec@1 44.922 (47.851) Prec@5 69.531 (73.100)
Epoch: [77][330/5005] Time 0.213 (0.214) Data 0.051 (0.050) Loss 2.0530 (2.2776) Prec@1 53.125 (47.896) Prec@5 74.609 (73.138)
Epoch: [77][340/5005] Time 0.205 (0.214) Data 0.050 (0.050) Loss 2.4020 (2.2816) Prec@1 45.703 (47.851) Prec@5 72.266 (73.073)
Epoch: [77][350/5005] Time 0.212 (0.214) Data 0.049 (0.050) Loss 2.4824 (2.2808) Prec@1 44.141 (47.870) Prec@5 67.578 (73.069)
Epoch: [77][360/5005] Time 0.213 (0.214) Data 0.043 (0.050) Loss 2.3520 (2.2809) Prec@1 49.219 (47.860) Prec@5 73.438 (73.057)
Epoch: [77][370/5005] Time 0.217 (0.214) Data 0.041 (0.050) Loss 2.4205 (2.2807) Prec@1 43.359 (47.857) Prec@5 74.219 (73.072)
Epoch: [77][380/5005] Time 0.217 (0.214) Data 0.044 (0.050) Loss 2.4740 (2.2814) Prec@1 43.359 (47.835) Prec@5 69.922 (73.069)
Epoch: [77][390/5005] Time 0.213 (0.214) Data 0.048 (0.050) Loss 2.2184 (2.2820) Prec@1 49.219 (47.809) Prec@5 73.438 (73.053)
Epoch: [77][400/5005] Time 0.215 (0.214) Data 0.045 (0.049) Loss 2.2108 (2.2810) Prec@1 46.094 (47.827) Prec@5 77.344 (73.077)
Epoch: [77][410/5005] Time 0.202 (0.214) Data 0.047 (0.049) Loss 2.0803 (2.2804) Prec@1 49.219 (47.822) Prec@5 74.609 (73.095)
Epoch: [77][420/5005] Time 0.207 (0.214) Data 0.048 (0.049) Loss 2.1722 (2.2798) Prec@1 54.688 (47.875) Prec@5 72.656 (73.099)
Epoch: [77][430/5005] Time 0.220 (0.214) Data 0.049 (0.049) Loss 2.2263 (2.2797) Prec@1 50.781 (47.868) Prec@5 75.781 (73.114)
Epoch: [77][440/5005] Time 0.216 (0.214) Data 0.053 (0.049) Loss 2.1722 (2.2792) Prec@1 52.344 (47.853) Prec@5 76.172 (73.129)
Epoch: [77][450/5005] Time 0.214 (0.214) Data 0.050 (0.049) Loss 2.0763 (2.2793) Prec@1 50.391 (47.821) Prec@5 76.953 (73.123)
Epoch: [77][460/5005] Time 0.220 (0.214) Data 0.046 (0.049) Loss 2.2978 (2.2794) Prec@1 44.922 (47.799) Prec@5 70.312 (73.121)
Epoch: [77][470/5005] Time 0.212 (0.214) Data 0.053 (0.050) Loss 2.2467 (2.2807) Prec@1 45.703 (47.786) Prec@5 73.047 (73.101)
Epoch: [77][480/5005] Time 0.213 (0.214) Data 0.047 (0.050) Loss 2.3604 (2.2807) Prec@1 44.141 (47.793) Prec@5 73.438 (73.101)
Epoch: [77][490/5005] Time 0.205 (0.214) Data 0.047 (0.050) Loss 2.1886 (2.2818) Prec@1 50.391 (47.757) Prec@5 71.875 (73.072)
Epoch: [77][500/5005] Time 0.213 (0.214) Data 0.049 (0.050) Loss 2.5477 (2.2842) Prec@1 45.703 (47.730) Prec@5 68.359 (73.027)
Epoch: [77][510/5005] Time 0.212 (0.214) Data 0.048 (0.050) Loss 2.5051 (2.2853) Prec@1 43.750 (47.718) Prec@5 67.969 (73.000)
Epoch: [77][520/5005] Time 0.209 (0.214) Data 0.049 (0.050) Loss 2.2496 (2.2848) Prec@1 48.047 (47.712) Prec@5 75.391 (73.029)
Epoch: [77][530/5005] Time 0.207 (0.214) Data 0.052 (0.050) Loss 2.2020 (2.2846) Prec@1 47.656 (47.702) Prec@5 71.875 (73.028)
Epoch: [77][540/5005] Time 0.212 (0.214) Data 0.044 (0.049) Loss 2.4499 (2.2854) Prec@1 46.094 (47.697) Prec@5 68.750 (73.004)
Epoch: [77][550/5005] Time 0.216 (0.214) Data 0.043 (0.049) Loss 2.1969 (2.2847) Prec@1 48.047 (47.704) Prec@5 75.391 (73.011)
Epoch: [77][560/5005] Time 0.214 (0.214) Data 0.042 (0.049) Loss 2.3801 (2.2851) Prec@1 48.047 (47.698) Prec@5 70.703 (73.027)
Epoch: [77][570/5005] Time 0.216 (0.214) Data 0.044 (0.049) Loss 2.2916 (2.2854) Prec@1 47.266 (47.695) Prec@5 72.266 (73.013)
Epoch: [77][580/5005] Time 0.212 (0.214) Data 0.043 (0.049) Loss 2.4711 (2.2852) Prec@1 45.703 (47.706) Prec@5 69.531 (73.020)
Epoch: [77][590/5005] Time 0.213 (0.214) Data 0.047 (0.049) Loss 2.4108 (2.2847) Prec@1 44.531 (47.722) Prec@5 68.750 (73.016)
Epoch: [77][600/5005] Time 0.215 (0.214) Data 0.043 (0.049) Loss 2.3058 (2.2856) Prec@1 46.484 (47.709) Prec@5 73.828 (73.007)
Epoch: [77][610/5005] Time 0.220 (0.214) Data 0.044 (0.049) Loss 2.1320 (2.2859) Prec@1 52.734 (47.706) Prec@5 76.172 (73.004)
Epoch: [77][620/5005] Time 0.211 (0.214) Data 0.043 (0.049) Loss 2.3099 (2.2859) Prec@1 52.734 (47.727) Prec@5 74.219 (73.003)
Epoch: [77][630/5005] Time 0.218 (0.214) Data 0.042 (0.049) Loss 2.6542 (2.2859) Prec@1 44.922 (47.752) Prec@5 64.453 (73.009)
Epoch: [77][640/5005] Time 0.222 (0.214) Data 0.043 (0.049) Loss 2.2279 (2.2856) Prec@1 46.484 (47.752) Prec@5 74.219 (73.019)
Epoch: [77][650/5005] Time 0.207 (0.214) Data 0.057 (0.049) Loss 2.4433 (2.2870) Prec@1 44.531 (47.731) Prec@5 72.266 (73.002)
Epoch: [77][660/5005] Time 0.216 (0.214) Data 0.043 (0.049) Loss 2.4549 (2.2857) Prec@1 44.531 (47.753) Prec@5 73.047 (73.027)
Epoch: [77][670/5005] Time 0.221 (0.214) Data 0.042 (0.049) Loss 2.5744 (2.2861) Prec@1 41.797 (47.734) Prec@5 69.141 (73.009)
Epoch: [77][680/5005] Time 0.215 (0.214) Data 0.040 (0.049) Loss 2.2890 (2.2863) Prec@1 46.875 (47.745) Prec@5 72.266 (73.004)
Epoch: [77][690/5005] Time 0.213 (0.214) Data 0.042 (0.048) Loss 2.1072 (2.2859) Prec@1 52.734 (47.747) Prec@5 78.125 (73.012)
Epoch: [77][700/5005] Time 0.217 (0.214) Data 0.044 (0.048) Loss 2.2581 (2.2851) Prec@1 47.266 (47.760) Prec@5 70.703 (73.025)
Epoch: [77][710/5005] Time 0.218 (0.214) Data 0.043 (0.048) Loss 2.1482 (2.2842) Prec@1 52.344 (47.783) Prec@5 74.219 (73.041)
Epoch: [77][720/5005] Time 0.217 (0.214) Data 0.041 (0.048) Loss 2.1345 (2.2831) Prec@1 50.781 (47.799) Prec@5 75.000 (73.065)
Epoch: [77][730/5005] Time 0.214 (0.214) Data 0.042 (0.048) Loss 2.3678 (2.2835) Prec@1 48.438 (47.794) Prec@5 71.484 (73.049)
Epoch: [77][740/5005] Time 0.218 (0.214) Data 0.044 (0.048) Loss 2.2623 (2.2831) Prec@1 47.656 (47.798) Prec@5 75.781 (73.052)
Epoch: [77][750/5005] Time 0.212 (0.214) Data 0.044 (0.048) Loss 2.0828 (2.2827) Prec@1 51.172 (47.796) Prec@5 77.344 (73.063)
Epoch: [77][760/5005] Time 0.212 (0.214) Data 0.042 (0.048) Loss 2.2344 (2.2826) Prec@1 45.703 (47.795) Prec@5 75.781 (73.062)
Epoch: [77][770/5005] Time 0.212 (0.214) Data 0.044 (0.048) Loss 2.2435 (2.2815) Prec@1 48.047 (47.818) Prec@5 74.219 (73.086)
Epoch: [77][780/5005] Time 0.212 (0.214) Data 0.044 (0.048) Loss 2.4283 (2.2815) Prec@1 44.531 (47.815) Prec@5 69.922 (73.086)
Epoch: [77][790/5005] Time 0.213 (0.214) Data 0.045 (0.048) Loss 2.2796 (2.2815) Prec@1 48.828 (47.819) Prec@5 71.875 (73.094)
Epoch: [77][800/5005] Time 0.209 (0.214) Data 0.041 (0.048) Loss 2.1715 (2.2810) Prec@1 48.047 (47.826) Prec@5 75.391 (73.102)
Epoch: [77][810/5005] Time 0.220 (0.214) Data 0.042 (0.048) Loss 2.3366 (2.2812) Prec@1 45.703 (47.824) Prec@5 70.312 (73.100)
Epoch: [77][820/5005] Time 0.213 (0.214) Data 0.052 (0.048) Loss 2.3709 (2.2814) Prec@1 47.656 (47.821) Prec@5 70.703 (73.094)
Epoch: [77][830/5005] Time 0.201 (0.214) Data 0.045 (0.048) Loss 2.2493 (2.2815) Prec@1 46.094 (47.832) Prec@5 74.219 (73.089)
Epoch: [77][840/5005] Time 0.222 (0.214) Data 0.046 (0.048) Loss 2.2828 (2.2815) Prec@1 50.781 (47.839) Prec@5 72.656 (73.097)
Epoch: [77][850/5005] Time 0.220 (0.214) Data 0.044 (0.048) Loss 2.4526 (2.2812) Prec@1 41.797 (47.838) Prec@5 70.312 (73.104)
Epoch: [77][860/5005] Time 0.213 (0.214) Data 0.042 (0.048) Loss 2.3497 (2.2814) Prec@1 44.922 (47.826) Prec@5 69.141 (73.100)
Epoch: [77][870/5005] Time 0.213 (0.214) Data 0.044 (0.048) Loss 2.3055 (2.2809) Prec@1 45.703 (47.836) Prec@5 70.703 (73.099)
Epoch: [77][880/5005] Time 0.213 (0.214) Data 0.043 (0.048) Loss 2.1162 (2.2810) Prec@1 46.875 (47.829) Prec@5 75.000 (73.096)
Epoch: [77][890/5005] Time 0.207 (0.214) Data 0.050 (0.048) Loss 2.6377 (2.2807) Prec@1 44.531 (47.830) Prec@5 66.016 (73.096)
Epoch: [77][900/5005] Time 0.207 (0.214) Data 0.052 (0.048) Loss 2.1922 (2.2802) Prec@1 49.219 (47.833) Prec@5 76.172 (73.100)
Epoch: [77][910/5005] Time 0.221 (0.214) Data 0.046 (0.048) Loss 2.1996 (2.2801) Prec@1 48.828 (47.835) Prec@5 74.219 (73.100)
Epoch: [77][920/5005] Time 0.218 (0.214) Data 0.046 (0.048) Loss 2.3288 (2.2796) Prec@1 47.266 (47.842) Prec@5 71.094 (73.103)
Epoch: [77][930/5005] Time 0.215 (0.214) Data 0.045 (0.048) Loss 2.4168 (2.2793) Prec@1 49.219 (47.857) Prec@5 68.750 (73.107)
Epoch: [77][940/5005] Time 0.208 (0.214) Data 0.059 (0.048) Loss 2.1409 (2.2795) Prec@1 47.656 (47.846) Prec@5 76.172 (73.120)
Epoch: [77][950/5005] Time 0.221 (0.214) Data 0.042 (0.048) Loss 2.3808 (2.2800) Prec@1 48.828 (47.843) Prec@5 73.438 (73.116)
Epoch: [77][960/5005] Time 0.207 (0.214) Data 0.040 (0.048) Loss 2.4399 (2.2801) Prec@1 44.922 (47.836) Prec@5 71.094 (73.115)
Epoch: [77][970/5005] Time 0.210 (0.214) Data 0.048 (0.048) Loss 2.0183 (2.2798) Prec@1 51.172 (47.832) Prec@5 78.516 (73.112)
Epoch: [77][980/5005] Time 0.214 (0.214) Data 0.042 (0.048) Loss 2.1629 (2.2791) Prec@1 51.172 (47.840) Prec@5 73.438 (73.125)
Epoch: [77][990/5005] Time 0.201 (0.214) Data 0.058 (0.048) Loss 2.3332 (2.2797) Prec@1 42.969 (47.822) Prec@5 74.219 (73.122)
Epoch: [77][1000/5005] Time 0.214 (0.213) Data 0.046 (0.048) Loss 2.4392 (2.2797) Prec@1 45.703 (47.828) Prec@5 73.438 (73.119)
Epoch: [77][1010/5005] Time 0.216 (0.213) Data 0.044 (0.048) Loss 2.2765 (2.2796) Prec@1 48.047 (47.827) Prec@5 72.656 (73.118)
Epoch: [77][1020/5005] Time 0.208 (0.213) Data 0.042 (0.048) Loss 2.1124 (2.2799) Prec@1 50.000 (47.818) Prec@5 76.562 (73.114)
Epoch: [77][1030/5005] Time 0.208 (0.213) Data 0.051 (0.048) Loss 2.0708 (2.2796) Prec@1 51.953 (47.829) Prec@5 77.344 (73.120)
Epoch: [77][1040/5005] Time 0.204 (0.215) Data 0.049 (0.048) Loss 2.5279 (2.2798) Prec@1 39.453 (47.811) Prec@5 72.266 (73.121)
Epoch: [77][1050/5005] Time 0.204 (0.214) Data 0.064 (0.048) Loss 2.4617 (2.2799) Prec@1 43.359 (47.799) Prec@5 69.141 (73.117)
Epoch: [77][1060/5005] Time 0.207 (0.214) Data 0.057 (0.048) Loss 2.4620 (2.2802) Prec@1 47.266 (47.798) Prec@5 71.875 (73.117)
Epoch: [77][1070/5005] Time 0.205 (0.214) Data 0.050 (0.048) Loss 2.2654 (2.2802) Prec@1 48.828 (47.802) Prec@5 73.047 (73.111)
Epoch: [77][1080/5005] Time 0.208 (0.214) Data 0.048 (0.048) Loss 2.3013 (2.2801) Prec@1 47.266 (47.808) Prec@5 71.875 (73.109)
Epoch: [77][1090/5005] Time 0.207 (0.214) Data 0.048 (0.048) Loss 2.0635 (2.2794) Prec@1 46.094 (47.816) Prec@5 75.000 (73.118)
Epoch: [77][1100/5005] Time 0.218 (0.214) Data 0.047 (0.048) Loss 2.1866 (2.2787) Prec@1 51.953 (47.828) Prec@5 73.828 (73.130)
Epoch: [77][1110/5005] Time 0.216 (0.214) Data 0.050 (0.048) Loss 2.2597 (2.2786) Prec@1 49.219 (47.826) Prec@5 71.875 (73.122)
Epoch: [77][1120/5005] Time 0.209 (0.214) Data 0.043 (0.048) Loss 2.0588 (2.2779) Prec@1 52.344 (47.838) Prec@5 76.562 (73.136)
Epoch: [77][1130/5005] Time 0.214 (0.214) Data 0.045 (0.048) Loss 2.2760 (2.2780) Prec@1 46.484 (47.830) Prec@5 73.828 (73.137)
Epoch: [77][1140/5005] Time 0.219 (0.214) Data 0.048 (0.048) Loss 2.2073 (2.2776) Prec@1 50.781 (47.834) Prec@5 73.047 (73.140)
Epoch: [77][1150/5005] Time 0.203 (0.214) Data 0.043 (0.048) Loss 2.2317 (2.2771) Prec@1 46.484 (47.845) Prec@5 73.047 (73.144)
Epoch: [77][1160/5005] Time 0.205 (0.214) Data 0.045 (0.048) Loss 2.3825 (2.2773) Prec@1 47.656 (47.845) Prec@5 72.266 (73.140)
Epoch: [77][1170/5005] Time 0.203 (0.214) Data 0.053 (0.048) Loss 2.1855 (2.2773) Prec@1 47.656 (47.853) Prec@5 76.562 (73.140)
Epoch: [77][1180/5005] Time 0.218 (0.214) Data 0.043 (0.048) Loss 2.2594 (2.2769) Prec@1 48.828 (47.848) Prec@5 74.219 (73.146)
Epoch: [77][1190/5005] Time 0.211 (0.214) Data 0.045 (0.048) Loss 2.0014 (2.2762) Prec@1 52.344 (47.862) Prec@5 77.344 (73.152)
Epoch: [77][1200/5005] Time 0.203 (0.214) Data 0.047 (0.048) Loss 2.3018 (2.2762) Prec@1 49.219 (47.864) Prec@5 73.828 (73.154)
Epoch: [77][1210/5005] Time 0.216 (0.214) Data 0.042 (0.048) Loss 2.2813 (2.2766) Prec@1 48.047 (47.866) Prec@5 73.828 (73.145)
Epoch: [77][1220/5005] Time 0.213 (0.214) Data 0.041 (0.048) Loss 2.2038 (2.2769) Prec@1 48.438 (47.865) Prec@5 73.828 (73.144)
Epoch: [77][1230/5005] Time 0.213 (0.214) Data 0.043 (0.048) Loss 2.4137 (2.2768) Prec@1 48.438 (47.859) Prec@5 69.141 (73.136)
Epoch: [77][1240/5005] Time 0.207 (0.214) Data 0.044 (0.048) Loss 2.3848 (2.2768) Prec@1 45.312 (47.865) Prec@5 71.484 (73.139)
Epoch: [77][1250/5005] Time 0.214 (0.214) Data 0.043 (0.048) Loss 2.5436 (2.2773) Prec@1 43.359 (47.846) Prec@5 68.750 (73.132)
Epoch: [77][1260/5005] Time 0.209 (0.214) Data 0.048 (0.048) Loss 2.0226 (2.2769) Prec@1 49.219 (47.849) Prec@5 78.516 (73.141)
Epoch: [77][1270/5005] Time 0.207 (0.214) Data 0.052 (0.048) Loss 2.3917 (2.2774) Prec@1 48.438 (47.848) Prec@5 69.922 (73.131)
Epoch: [77][1280/5005] Time 0.201 (0.214) Data 0.063 (0.048) Loss 2.3028 (2.2777) Prec@1 48.828 (47.846) Prec@5 71.094 (73.123)
Epoch: [77][1290/5005] Time 0.208 (0.214) Data 0.045 (0.048) Loss 2.0421 (2.2772) Prec@1 56.250 (47.863) Prec@5 75.391 (73.126)
Epoch: [77][1300/5005] Time 0.214 (0.214) Data 0.043 (0.048) Loss 2.1363 (2.2770) Prec@1 55.078 (47.869) Prec@5 74.219 (73.134)
Epoch: [77][1310/5005] Time 0.212 (0.214) Data 0.040 (0.048) Loss 2.1764 (2.2767) Prec@1 52.734 (47.874) Prec@5 76.172 (73.143)
Epoch: [77][1320/5005] Time 0.205 (0.214) Data 0.043 (0.048) Loss 2.3919 (2.2767) Prec@1 47.656 (47.877) Prec@5 71.875 (73.144)
Epoch: [77][1330/5005] Time 0.212 (0.214) Data 0.042 (0.048) Loss 2.3692 (2.2769) Prec@1 47.266 (47.879) Prec@5 73.047 (73.141)
Epoch: [77][1340/5005] Time 0.207 (0.214) Data 0.042 (0.048) Loss 2.2924 (2.2767) Prec@1 48.047 (47.872) Prec@5 74.609 (73.147)
Epoch: [77][1350/5005] Time 0.210 (0.214) Data 0.051 (0.048) Loss 2.7194 (2.2769) Prec@1 41.797 (47.865) Prec@5 67.969 (73.152)
Epoch: [77][1360/5005] Time 0.204 (0.214) Data 0.057 (0.048) Loss 2.1509 (2.2769) Prec@1 48.047 (47.854) Prec@5 75.781 (73.155)
Epoch: [77][1370/5005] Time 0.213 (0.214) Data 0.048 (0.048) Loss 2.2211 (2.2765) Prec@1 50.781 (47.865) Prec@5 76.172 (73.164)
Epoch: [77][1380/5005] Time 0.212 (0.213) Data 0.049 (0.048) Loss 2.1761 (2.2760) Prec@1 51.172 (47.879) Prec@5 76.953 (73.175)
Epoch: [77][1390/5005] Time 0.203 (0.213) Data 0.044 (0.048) Loss 2.2819 (2.2761) Prec@1 48.047 (47.883) Prec@5 72.266 (73.167)
Epoch: [77][1400/5005] Time 0.213 (0.213) Data 0.048 (0.048) Loss 2.2307 (2.2755) Prec@1 49.609 (47.892) Prec@5 72.266 (73.175)
Epoch: [77][1410/5005] Time 0.206 (0.213) Data 0.057 (0.048) Loss 2.2052 (2.2752) Prec@1 51.953 (47.899) Prec@5 75.000 (73.185)
Epoch: [77][1420/5005] Time 0.210 (0.213) Data 0.043 (0.048) Loss 2.5429 (2.2753) Prec@1 45.703 (47.898) Prec@5 68.750 (73.177)
Epoch: [77][1430/5005] Time 0.203 (0.213) Data 0.043 (0.048) Loss 1.9980 (2.2749) Prec@1 51.172 (47.908) Prec@5 77.734 (73.187)
Epoch: [77][1440/5005] Time 0.210 (0.213) Data 0.048 (0.048) Loss 2.0747 (2.2746) Prec@1 50.781 (47.913) Prec@5 76.562 (73.188)
Epoch: [77][1450/5005] Time 0.211 (0.213) Data 0.051 (0.048) Loss 2.1529 (2.2746) Prec@1 52.344 (47.913) Prec@5 75.000 (73.186)
Epoch: [77][1460/5005] Time 0.206 (0.213) Data 0.044 (0.048) Loss 2.4120 (2.2744) Prec@1 43.750 (47.912) Prec@5 70.312 (73.186)
Epoch: [77][1470/5005] Time 0.204 (0.213) Data 0.060 (0.048) Loss 2.3260 (2.2747) Prec@1 48.047 (47.910) Prec@5 71.484 (73.185)
Epoch: [77][1480/5005] Time 0.205 (0.213) Data 0.058 (0.048) Loss 2.1369 (2.2749) Prec@1 51.562 (47.902) Prec@5 76.953 (73.182)
Epoch: [77][1490/5005] Time 0.214 (0.213) Data 0.048 (0.048) Loss 2.4123 (2.2747) Prec@1 45.312 (47.900) Prec@5 70.312 (73.189)
Epoch: [77][1500/5005] Time 0.212 (0.213) Data 0.044 (0.048) Loss 2.3854 (2.2746) Prec@1 46.875 (47.897) Prec@5 70.312 (73.188)
Epoch: [77][1510/5005] Time 0.202 (0.213) Data 0.049 (0.048) Loss 2.1267 (2.2742) Prec@1 50.000 (47.899) Prec@5 75.000 (73.188)
Epoch: [77][1520/5005] Time 0.207 (0.213) Data 0.058 (0.048) Loss 2.3605 (2.2739) Prec@1 48.047 (47.910) Prec@5 73.828 (73.188)
Epoch: [77][1530/5005] Time 0.208 (0.213) Data 0.048 (0.048) Loss 2.4144 (2.2738) Prec@1 49.609 (47.919) Prec@5 71.484 (73.186)
Epoch: [77][1540/5005] Time 0.209 (0.213) Data 0.054 (0.048) Loss 2.3523 (2.2741) Prec@1 46.484 (47.911) Prec@5 69.922 (73.186)
Epoch: [77][1550/5005] Time 0.208 (0.213) Data 0.051 (0.048) Loss 2.0982 (2.2740) Prec@1 51.562 (47.913) Prec@5 78.516 (73.183)
Epoch: [77][1560/5005] Time 0.204 (0.213) Data 0.047 (0.048) Loss 2.1811 (2.2741) Prec@1 44.922 (47.912) Prec@5 75.781 (73.184)
Epoch: [77][1570/5005] Time 0.211 (0.213) Data 0.044 (0.048) Loss 2.1223 (2.2736) Prec@1 51.172 (47.925) Prec@5 73.828 (73.192)
Epoch: [77][1580/5005] Time 0.196 (0.213) Data 0.069 (0.048) Loss 1.9646 (2.2734) Prec@1 55.078 (47.924) Prec@5 78.516 (73.193)
Epoch: [77][1590/5005] Time 0.210 (0.213) Data 0.047 (0.048) Loss 2.2564 (2.2733) Prec@1 48.438 (47.920) Prec@5 73.438 (73.197)
Epoch: [77][1600/5005] Time 0.215 (0.213) Data 0.047 (0.048) Loss 2.2706 (2.2734) Prec@1 51.953 (47.921) Prec@5 73.828 (73.192)
Epoch: [77][1610/5005] Time 0.213 (0.213) Data 0.050 (0.048) Loss 2.3961 (2.2732) Prec@1 42.969 (47.925) Prec@5 71.875 (73.192)
Epoch: [77][1620/5005] Time 0.219 (0.213) Data 0.042 (0.048) Loss 2.4034 (2.2727) Prec@1 41.797 (47.924) Prec@5 69.922 (73.196)
Epoch: [77][1630/5005] Time 0.214 (0.213) Data 0.043 (0.048) Loss 2.1713 (2.2726) Prec@1 49.219 (47.929) Prec@5 73.047 (73.194)
Epoch: [77][1640/5005] Time 0.204 (0.213) Data 0.053 (0.048) Loss 2.3410 (2.2729) Prec@1 51.172 (47.930) Prec@5 71.484 (73.188)
Epoch: [77][1650/5005] Time 0.203 (0.213) Data 0.040 (0.048) Loss 2.3363 (2.2728) Prec@1 47.656 (47.936) Prec@5 70.703 (73.191)
Epoch: [77][1660/5005] Time 0.215 (0.213) Data 0.045 (0.048) Loss 2.3294 (2.2724) Prec@1 45.312 (47.947) Prec@5 73.438 (73.203)
Epoch: [77][1670/5005] Time 0.205 (0.213) Data 0.045 (0.048) Loss 2.0673 (2.2725) Prec@1 52.734 (47.944) Prec@5 77.734 (73.203)
Epoch: [77][1680/5005] Time 0.205 (0.213) Data 0.042 (0.048) Loss 2.4014 (2.2726) Prec@1 49.609 (47.941) Prec@5 73.828 (73.205)
Epoch: [77][1690/5005] Time 0.213 (0.213) Data 0.048 (0.048) Loss 2.0554 (2.2726) Prec@1 48.828 (47.940) Prec@5 76.953 (73.207)
Epoch: [77][1700/5005] Time 0.194 (0.213) Data 0.056 (0.048) Loss 2.1715 (2.2721) Prec@1 50.781 (47.945) Prec@5 71.875 (73.214)
Epoch: [77][1710/5005] Time 0.194 (0.213) Data 0.048 (0.048) Loss 2.0989 (2.2714) Prec@1 49.219 (47.951) Prec@5 77.734 (73.226)
Epoch: [77][1720/5005] Time 0.209 (0.213) Data 0.048 (0.048) Loss 2.2394 (2.2716) Prec@1 46.875 (47.943) Prec@5 72.656 (73.221)
Epoch: [77][1730/5005] Time 0.209 (0.213) Data 0.053 (0.048) Loss 2.2608 (2.2718) Prec@1 48.047 (47.932) Prec@5 74.219 (73.218)
Epoch: [77][1740/5005] Time 0.196 (0.212) Data 0.041 (0.048) Loss 2.4867 (2.2717) Prec@1 44.531 (47.928) Prec@5 69.922 (73.228)
Epoch: [77][1750/5005] Time 0.215 (0.212) Data 0.041 (0.048) Loss 2.2538 (2.2712) Prec@1 50.391 (47.936) Prec@5 72.266 (73.238)
Epoch: [77][1760/5005] Time 0.204 (0.212) Data 0.041 (0.048) Loss 2.0333 (2.2709) Prec@1 56.250 (47.946) Prec@5 78.906 (73.247)
Epoch: [77][1770/5005] Time 0.220 (0.212) Data 0.042 (0.048) Loss 2.2679 (2.2707) Prec@1 48.828 (47.949) Prec@5 76.172 (73.254)
Epoch: [77][1780/5005] Time 0.220 (0.212) Data 0.044 (0.048) Loss 2.2284 (2.2708) Prec@1 46.484 (47.946) Prec@5 74.609 (73.257)
Epoch: [77][1790/5005] Time 0.208 (0.212) Data 0.042 (0.048) Loss 2.0766 (2.2705) Prec@1 52.344 (47.954) Prec@5 76.172 (73.259)
Epoch: [77][1800/5005] Time 0.214 (0.212) Data 0.043 (0.048) Loss 2.2709 (2.2704) Prec@1 49.609 (47.956) Prec@5 72.266 (73.261)
Epoch: [77][1810/5005] Time 0.213 (0.212) Data 0.043 (0.048) Loss 2.1032 (2.2700) Prec@1 48.828 (47.958) Prec@5 74.219 (73.269)
Epoch: [77][1820/5005] Time 0.209 (0.212) Data 0.041 (0.048) Loss 2.2859 (2.2699) Prec@1 46.875 (47.955) Prec@5 73.438 (73.271)
Epoch: [77][1830/5005] Time 0.212 (0.212) Data 0.053 (0.048) Loss 2.0875 (2.2696) Prec@1 52.344 (47.963) Prec@5 76.562 (73.276)
Epoch: [77][1840/5005] Time 0.197 (0.212) Data 0.048 (0.048) Loss 2.2938 (2.2695) Prec@1 48.438 (47.965) Prec@5 74.219 (73.282)
Epoch: [77][1850/5005] Time 0.203 (0.212) Data 0.047 (0.048) Loss 2.1457 (2.2692) Prec@1 51.562 (47.969) Prec@5 76.172 (73.286)
Epoch: [77][1860/5005] Time 0.213 (0.212) Data 0.044 (0.048) Loss 2.1981 (2.2690) Prec@1 51.562 (47.972) Prec@5 72.656 (73.287)
Epoch: [77][1870/5005] Time 0.214 (0.212) Data 0.044 (0.048) Loss 2.4372 (2.2693) Prec@1 44.531 (47.971) Prec@5 69.531 (73.285)
Epoch: [77][1880/5005] Time 0.205 (0.212) Data 0.062 (0.048) Loss 2.3802 (2.2695) Prec@1 45.312 (47.970) Prec@5 71.875 (73.280)
Epoch: [77][1890/5005] Time 0.205 (0.212) Data 0.058 (0.048) Loss 2.2840 (2.2695) Prec@1 49.609 (47.977) Prec@5 73.438 (73.278)
Epoch: [77][1900/5005] Time 0.200 (0.212) Data 0.056 (0.048) Loss 2.3051 (2.2701) Prec@1 48.047 (47.974) Prec@5 74.609 (73.270)
Epoch: [77][1910/5005] Time 0.208 (0.212) Data 0.041 (0.048) Loss 2.1662 (2.2699) Prec@1 46.875 (47.973) Prec@5 75.391 (73.272)
Epoch: [77][1920/5005] Time 0.210 (0.212) Data 0.058 (0.048) Loss 2.2393 (2.2696) Prec@1 47.656 (47.976) Prec@5 78.906 (73.280)
Epoch: [77][1930/5005] Time 0.214 (0.212) Data 0.048 (0.048) Loss 2.1489 (2.2693) Prec@1 53.125 (47.985) Prec@5 73.828 (73.290)
Epoch: [77][1940/5005] Time 0.206 (0.212) Data 0.046 (0.048) Loss 2.1220 (2.2691) Prec@1 52.344 (47.985) Prec@5 74.219 (73.291)
Epoch: [77][1950/5005] Time 0.207 (0.212) Data 0.046 (0.048) Loss 2.3738 (2.2691) Prec@1 44.531 (47.984) Prec@5 72.266 (73.290)
Epoch: [77][1960/5005] Time 0.212 (0.212) Data 0.044 (0.048) Loss 2.2523 (2.2688) Prec@1 51.172 (47.993) Prec@5 71.484 (73.294)
Epoch: [77][1970/5005] Time 0.209 (0.212) Data 0.045 (0.048) Loss 2.1668 (2.2690) Prec@1 48.828 (47.985) Prec@5 76.562 (73.292)
Epoch: [77][1980/5005] Time 0.212 (0.212) Data 0.047 (0.048) Loss 2.0760 (2.2689) Prec@1 51.172 (47.990) Prec@5 75.781 (73.291)
Epoch: [77][1990/5005] Time 0.210 (0.212) Data 0.048 (0.048) Loss 1.9971 (2.2688) Prec@1 52.734 (47.989) Prec@5 76.953 (73.288)
Epoch: [77][2000/5005] Time 0.196 (0.213) Data 0.046 (0.048) Loss 2.0931 (2.2688) Prec@1 55.469 (47.993) Prec@5 77.734 (73.286)
Epoch: [77][2010/5005] Time 0.211 (0.213) Data 0.042 (0.048) Loss 2.1122 (2.2688) Prec@1 50.000 (47.991) Prec@5 76.172 (73.285)
Epoch: [77][2020/5005] Time 0.190 (0.213) Data 0.050 (0.048) Loss 2.2823 (2.2688) Prec@1 48.438 (47.992) Prec@5 71.094 (73.286)
Epoch: [77][2030/5005] Time 0.212 (0.213) Data 0.042 (0.048) Loss 2.2240 (2.2688) Prec@1 50.781 (47.993) Prec@5 72.656 (73.283)
Epoch: [77][2040/5005] Time 0.212 (0.213) Data 0.042 (0.048) Loss 2.1193 (2.2687) Prec@1 50.781 (47.994) Prec@5 74.219 (73.288)
Epoch: [77][2050/5005] Time 0.201 (0.213) Data 0.043 (0.048) Loss 2.4284 (2.2686) Prec@1 42.969 (47.996) Prec@5 71.094 (73.293)
Epoch: [77][2060/5005] Time 0.214 (0.213) Data 0.041 (0.048) Loss 2.2503 (2.2686) Prec@1 45.703 (47.996) Prec@5 73.828 (73.291)
Epoch: [77][2070/5005] Time 0.207 (0.213) Data 0.044 (0.048) Loss 2.3505 (2.2689) Prec@1 48.438 (47.990) Prec@5 73.438 (73.287)
Epoch: [77][2080/5005] Time 0.211 (0.212) Data 0.044 (0.048) Loss 2.2862 (2.2687) Prec@1 47.656 (47.986) Prec@5 74.219 (73.289)
Epoch: [77][2090/5005] Time 0.219 (0.212) Data 0.044 (0.048) Loss 2.0992 (2.2684) Prec@1 53.516 (47.990) Prec@5 77.344 (73.293)
Epoch: [77][2100/5005] Time 0.207 (0.212) Data 0.042 (0.048) Loss 2.3673 (2.2682) Prec@1 47.266 (47.985) Prec@5 70.703 (73.295)
Epoch: [77][2110/5005] Time 0.212 (0.212) Data 0.044 (0.048) Loss 2.0562 (2.2683) Prec@1 50.391 (47.983) Prec@5 79.688 (73.293)
Epoch: [77][2120/5005] Time 0.209 (0.212) Data 0.050 (0.048) Loss 2.3312 (2.2683) Prec@1 48.047 (47.988) Prec@5 72.266 (73.294)
Epoch: [77][2130/5005] Time 0.214 (0.212) Data 0.047 (0.048) Loss 2.3597 (2.2681) Prec@1 43.359 (47.989) Prec@5 70.312 (73.296)
Epoch: [77][2140/5005] Time 0.204 (0.212) Data 0.043 (0.048) Loss 2.1821 (2.2682) Prec@1 48.438 (47.992) Prec@5 74.609 (73.290)
Epoch: [77][2150/5005] Time 0.213 (0.212) Data 0.040 (0.048) Loss 2.0451 (2.2681) Prec@1 54.297 (48.000) Prec@5 75.391 (73.288)
Epoch: [77][2160/5005] Time 0.213 (0.212) Data 0.043 (0.048) Loss 2.2630 (2.2680) Prec@1 47.266 (47.997) Prec@5 75.391 (73.290)
Epoch: [77][2170/5005] Time 0.194 (0.212) Data 0.049 (0.048) Loss 2.0542 (2.2675) Prec@1 53.906 (48.005) Prec@5 80.078 (73.300)
Epoch: [77][2180/5005] Time 0.211 (0.212) Data 0.044 (0.048) Loss 2.3329 (2.2675) Prec@1 51.562 (48.006) Prec@5 70.312 (73.303)
Epoch: [77][2190/5005] Time 0.199 (0.212) Data 0.045 (0.048) Loss 2.4976 (2.2677) Prec@1 42.578 (48.003) Prec@5 67.188 (73.297)
Epoch: [77][2200/5005] Time 0.195 (0.212) Data 0.051 (0.048) Loss 2.3485 (2.2679) Prec@1 45.312 (47.996) Prec@5 75.000 (73.299)
Epoch: [77][2210/5005] Time 0.213 (0.212) Data 0.047 (0.048) Loss 2.4113 (2.2683) Prec@1 47.266 (47.990) Prec@5 69.141 (73.292)
Epoch: [77][2220/5005] Time 0.210 (0.212) Data 0.044 (0.048) Loss 2.3112 (2.2681) Prec@1 51.562 (47.994) Prec@5 71.484 (73.295)
Epoch: [77][2230/5005] Time 0.209 (0.212) Data 0.043 (0.048) Loss 2.2482 (2.2681) Prec@1 49.219 (47.995) Prec@5 73.828 (73.292)
Epoch: [77][2240/5005] Time 0.200 (0.212) Data 0.045 (0.048) Loss 2.4041 (2.2683) Prec@1 46.094 (47.993) Prec@5 71.094 (73.290)
Epoch: [77][2250/5005] Time 0.201 (0.212) Data 0.063 (0.048) Loss 2.1376 (2.2684) Prec@1 42.969 (47.989) Prec@5 75.781 (73.288)
Epoch: [77][2260/5005] Time 0.200 (0.212) Data 0.050 (0.048) Loss 2.1709 (2.2682) Prec@1 50.781 (47.995) Prec@5 72.266 (73.289)
Epoch: [77][2270/5005] Time 0.196 (0.212) Data 0.044 (0.048) Loss 2.4436 (2.2679) Prec@1 43.359 (48.004) Prec@5 71.875 (73.292)
Epoch: [77][2280/5005] Time 0.208 (0.212) Data 0.046 (0.048) Loss 2.2488 (2.2677) Prec@1 46.484 (48.008) Prec@5 76.172 (73.296)
Epoch: [77][2290/5005] Time 0.205 (0.212) Data 0.042 (0.048) Loss 2.1829 (2.2677) Prec@1 50.000 (48.014) Prec@5 77.344 (73.296)
Epoch: [77][2300/5005] Time 0.208 (0.212) Data 0.043 (0.048) Loss 2.1818 (2.2677) Prec@1 48.438 (48.016) Prec@5 74.609 (73.295)
Epoch: [77][2310/5005] Time 0.212 (0.212) Data 0.039 (0.048) Loss 2.1909 (2.2674) Prec@1 48.828 (48.024) Prec@5 76.172 (73.295)
Epoch: [77][2320/5005] Time 0.212 (0.212) Data 0.041 (0.048) Loss 2.4673 (2.2675) Prec@1 44.141 (48.019) Prec@5 69.141 (73.294)
Epoch: [77][2330/5005] Time 0.211 (0.212) Data 0.045 (0.048) Loss 2.2018 (2.2673) Prec@1 49.219 (48.020) Prec@5 72.266 (73.296)
Epoch: [77][2340/5005] Time 0.212 (0.212) Data 0.044 (0.048) Loss 2.1728 (2.2672) Prec@1 50.000 (48.025) Prec@5 76.172 (73.295)
Epoch: [77][2350/5005] Time 0.209 (0.212) Data 0.040 (0.048) Loss 2.1328 (2.2670) Prec@1 47.266 (48.025) Prec@5 74.219 (73.297)
Epoch: [77][2360/5005] Time 0.207 (0.212) Data 0.046 (0.048) Loss 2.3327 (2.2671) Prec@1 45.312 (48.022) Prec@5 73.047 (73.298)
Epoch: [77][2370/5005] Time 0.207 (0.212) Data 0.043 (0.048) Loss 2.2670 (2.2672) Prec@1 47.266 (48.019) Prec@5 73.828 (73.298)
Epoch: [77][2380/5005] Time 0.212 (0.212) Data 0.044 (0.048) Loss 2.3725 (2.2669) Prec@1 45.703 (48.027) Prec@5 69.922 (73.304)
Epoch: [77][2390/5005] Time 0.204 (0.212) Data 0.046 (0.048) Loss 2.2645 (2.2668) Prec@1 48.047 (48.031) Prec@5 71.484 (73.302)
Epoch: [77][2400/5005] Time 0.215 (0.212) Data 0.044 (0.048) Loss 2.3023 (2.2669) Prec@1 50.781 (48.024) Prec@5 72.266 (73.300)
Epoch: [77][2410/5005] Time 0.209 (0.212) Data 0.045 (0.048) Loss 2.4298 (2.2670) Prec@1 44.141 (48.021) Prec@5 71.094 (73.296)
Epoch: [77][2420/5005] Time 0.207 (0.212) Data 0.043 (0.048) Loss 2.3521 (2.2668) Prec@1 44.531 (48.022) Prec@5 71.875 (73.298)
Epoch: [77][2430/5005] Time 0.207 (0.212) Data 0.049 (0.048) Loss 2.0952 (2.2671) Prec@1 48.438 (48.019) Prec@5 75.000 (73.294)
Epoch: [77][2440/5005] Time 0.216 (0.212) Data 0.043 (0.048) Loss 2.0631 (2.2671) Prec@1 50.781 (48.021) Prec@5 76.562 (73.292)
Epoch: [77][2450/5005] Time 0.201 (0.212) Data 0.047 (0.048) Loss 2.1943 (2.2669) Prec@1 48.438 (48.020) Prec@5 73.047 (73.294)
Epoch: [77][2460/5005] Time 0.206 (0.212) Data 0.050 (0.048) Loss 2.2033 (2.2666) Prec@1 47.656 (48.026) Prec@5 75.781 (73.300)
Epoch: [77][2470/5005] Time 0.197 (0.212) Data 0.046 (0.048) Loss 2.0198 (2.2665) Prec@1 48.438 (48.027) Prec@5 76.953 (73.301)
Epoch: [77][2480/5005] Time 0.208 (0.212) Data 0.042 (0.048) Loss 2.2838 (2.2667) Prec@1 48.828 (48.025) Prec@5 73.047 (73.298)
Epoch: [77][2490/5005] Time 0.212 (0.212) Data 0.049 (0.048) Loss 2.1383 (2.2667) Prec@1 48.438 (48.022) Prec@5 76.562 (73.299)
Epoch: [77][2500/5005] Time 0.216 (0.212) Data 0.047 (0.048) Loss 2.3944 (2.2666) Prec@1 45.703 (48.023) Prec@5 71.094 (73.301)
Epoch: [77][2510/5005] Time 0.199 (0.212) Data 0.045 (0.048) Loss 2.3565 (2.2667) Prec@1 50.000 (48.021) Prec@5 73.047 (73.302)
Epoch: [77][2520/5005] Time 0.199 (0.212) Data 0.042 (0.048) Loss 2.2611 (2.2666) Prec@1 49.609 (48.025) Prec@5 73.828 (73.303)
Epoch: [77][2530/5005] Time 0.209 (0.212) Data 0.048 (0.048) Loss 2.4287 (2.2667) Prec@1 46.484 (48.021) Prec@5 67.188 (73.296)
Epoch: [77][2540/5005] Time 0.202 (0.212) Data 0.048 (0.048) Loss 2.2755 (2.2667) Prec@1 48.438 (48.023) Prec@5 72.656 (73.297)
Epoch: [77][2550/5005] Time 0.214 (0.212) Data 0.042 (0.048) Loss 2.3111 (2.2666) Prec@1 45.703 (48.021) Prec@5 73.828 (73.299)
Epoch: [77][2560/5005] Time 0.206 (0.212) Data 0.042 (0.048) Loss 2.5248 (2.2666) Prec@1 44.141 (48.024) Prec@5 68.359 (73.297)
Epoch: [77][2570/5005] Time 0.200 (0.212) Data 0.047 (0.048) Loss 2.3625 (2.2667) Prec@1 43.750 (48.025) Prec@5 73.828 (73.295)
Epoch: [77][2580/5005] Time 0.208 (0.212) Data 0.044 (0.048) Loss 2.3218 (2.2669) Prec@1 46.094 (48.019) Prec@5 74.219 (73.287)
Epoch: [77][2590/5005] Time 0.212 (0.212) Data 0.042 (0.048) Loss 2.3458 (2.2668) Prec@1 46.875 (48.027) Prec@5 73.828 (73.291)
Epoch: [77][2600/5005] Time 0.199 (0.212) Data 0.056 (0.048) Loss 2.4196 (2.2672) Prec@1 45.703 (48.019) Prec@5 74.219 (73.287)
Epoch: [77][2610/5005] Time 0.215 (0.212) Data 0.043 (0.048) Loss 2.3442 (2.2670) Prec@1 48.438 (48.022) Prec@5 69.141 (73.290)
Epoch: [77][2620/5005] Time 0.211 (0.212) Data 0.052 (0.048) Loss 2.2844 (2.2670) Prec@1 45.312 (48.027) Prec@5 71.094 (73.289)
Epoch: [77][2630/5005] Time 0.195 (0.212) Data 0.058 (0.048) Loss 2.4619 (2.2674) Prec@1 47.266 (48.022) Prec@5 71.484 (73.282)
Epoch: [77][2640/5005] Time 0.208 (0.212) Data 0.051 (0.048) Loss 2.4555 (2.2674) Prec@1 46.094 (48.027) Prec@5 69.922 (73.284)
Epoch: [77][2650/5005] Time 0.213 (0.212) Data 0.046 (0.048) Loss 2.5012 (2.2674) Prec@1 44.141 (48.027) Prec@5 68.359 (73.284)
Epoch: [77][2660/5005] Time 0.210 (0.212) Data 0.049 (0.048) Loss 2.1643 (2.2672) Prec@1 47.656 (48.030) Prec@5 75.391 (73.285)
Epoch: [77][2670/5005] Time 0.206 (0.212) Data 0.047 (0.048) Loss 1.9752 (2.2670) Prec@1 55.078 (48.034) Prec@5 80.469 (73.289)
Epoch: [77][2680/5005] Time 0.206 (0.212) Data 0.059 (0.048) Loss 2.1594 (2.2669) Prec@1 48.828 (48.036) Prec@5 75.781 (73.288)
Epoch: [77][2690/5005] Time 0.201 (0.212) Data 0.045 (0.048) Loss 2.2614 (2.2668) Prec@1 50.781 (48.036) Prec@5 73.438 (73.291)
Epoch: [77][2700/5005] Time 0.196 (0.212) Data 0.049 (0.048) Loss 2.2815 (2.2669) Prec@1 46.094 (48.036) Prec@5 72.266 (73.290)
Epoch: [77][2710/5005] Time 0.197 (0.211) Data 0.046 (0.048) Loss 2.1777 (2.2671) Prec@1 44.141 (48.030) Prec@5 75.000 (73.286)
Epoch: [77][2720/5005] Time 0.196 (0.211) Data 0.051 (0.048) Loss 2.3111 (2.2672) Prec@1 47.656 (48.026) Prec@5 73.438 (73.288)
Epoch: [77][2730/5005] Time 0.200 (0.211) Data 0.050 (0.048) Loss 2.2699 (2.2670) Prec@1 47.266 (48.024) Prec@5 71.875 (73.291)
Epoch: [77][2740/5005] Time 0.216 (0.211) Data 0.046 (0.048) Loss 2.1862 (2.2669) Prec@1 51.172 (48.031) Prec@5 73.047 (73.293)
Epoch: [77][2750/5005] Time 0.204 (0.211) Data 0.047 (0.048) Loss 2.2119 (2.2668) Prec@1 46.484 (48.032) Prec@5 75.000 (73.290)
Epoch: [77][2760/5005] Time 0.205 (0.211) Data 0.047 (0.048) Loss 2.2537 (2.2667) Prec@1 50.000 (48.036) Prec@5 69.922 (73.290)
Epoch: [77][2770/5005] Time 0.204 (0.211) Data 0.052 (0.048) Loss 2.1999 (2.2669) Prec@1 50.391 (48.037) Prec@5 75.000 (73.289)
Epoch: [77][2780/5005] Time 0.204 (0.211) Data 0.050 (0.048) Loss 2.5183 (2.2669) Prec@1 44.141 (48.041) Prec@5 69.922 (73.287)
Epoch: [77][2790/5005] Time 0.210 (0.211) Data 0.044 (0.048) Loss 2.4972 (2.2672) Prec@1 39.062 (48.034) Prec@5 66.406 (73.280)
Epoch: [77][2800/5005] Time 0.202 (0.211) Data 0.047 (0.048) Loss 1.9419 (2.2670) Prec@1 54.688 (48.034) Prec@5 80.469 (73.285)
Epoch: [77][2810/5005] Time 0.208 (0.211) Data 0.044 (0.048) Loss 2.4296 (2.2670) Prec@1 45.703 (48.033) Prec@5 70.703 (73.285)
Epoch: [77][2820/5005] Time 0.206 (0.211) Data 0.048 (0.048) Loss 2.0120 (2.2669) Prec@1 50.781 (48.035) Prec@5 76.953 (73.286)
Epoch: [77][2830/5005] Time 0.200 (0.211) Data 0.059 (0.048) Loss 2.4260 (2.2670) Prec@1 42.969 (48.030) Prec@5 70.312 (73.287)
Epoch: [77][2840/5005] Time 0.204 (0.211) Data 0.045 (0.048) Loss 2.2258 (2.2669) Prec@1 53.125 (48.035) Prec@5 75.781 (73.286)
Epoch: [77][2850/5005] Time 0.202 (0.211) Data 0.045 (0.048) Loss 2.1417 (2.2669) Prec@1 52.344 (48.039) Prec@5 75.000 (73.290)
Epoch: [77][2860/5005] Time 0.204 (0.211) Data 0.046 (0.048) Loss 2.1686 (2.2669) Prec@1 50.000 (48.037) Prec@5 73.828 (73.290)
Epoch: [77][2870/5005] Time 0.201 (0.211) Data 0.041 (0.048) Loss 2.2142 (2.2665) Prec@1 49.609 (48.046) Prec@5 75.391 (73.295)
Epoch: [77][2880/5005] Time 0.211 (0.211) Data 0.043 (0.048) Loss 2.2316 (2.2666) Prec@1 46.484 (48.045) Prec@5 78.125 (73.292)
Epoch: [77][2890/5005] Time 0.197 (0.211) Data 0.071 (0.048) Loss 2.2440 (2.2665) Prec@1 47.266 (48.048) Prec@5 73.438 (73.295)
Epoch: [77][2900/5005] Time 0.201 (0.211) Data 0.047 (0.048) Loss 1.9445 (2.2661) Prec@1 57.422 (48.055) Prec@5 78.906 (73.301)
Epoch: [77][2910/5005] Time 0.208 (0.211) Data 0.065 (0.048) Loss 2.1648 (2.2661) Prec@1 50.781 (48.055) Prec@5 74.609 (73.301)
Epoch: [77][2920/5005] Time 0.208 (0.211) Data 0.048 (0.048) Loss 2.3570 (2.2661) Prec@1 45.312 (48.055) Prec@5 74.219 (73.304)
Epoch: [77][2930/5005] Time 0.209 (0.211) Data 0.066 (0.048) Loss 2.4724 (2.2661) Prec@1 44.531 (48.054) Prec@5 69.141 (73.302)
Epoch: [77][2940/5005] Time 0.199 (0.211) Data 0.053 (0.048) Loss 2.3568 (2.2659) Prec@1 48.047 (48.061) Prec@5 71.875 (73.306)
Epoch: [77][2950/5005] Time 0.201 (0.211) Data 0.051 (0.048) Loss 2.3613 (2.2657) Prec@1 42.578 (48.066) Prec@5 73.047 (73.311)
Epoch: [77][2960/5005] Time 0.200 (0.211) Data 0.054 (0.048) Loss 2.1670 (2.2655) Prec@1 51.562 (48.071) Prec@5 73.828 (73.312)
Epoch: [77][2970/5005] Time 0.200 (0.211) Data 0.046 (0.048) Loss 2.3628 (2.2653) Prec@1 42.188 (48.071) Prec@5 72.266 (73.315)
Epoch: [77][2980/5005] Time 0.208 (0.211) Data 0.049 (0.048) Loss 2.4887 (2.2653) Prec@1 42.969 (48.072) Prec@5 69.922 (73.314)
Epoch: [77][2990/5005] Time 0.199 (0.211) Data 0.046 (0.048) Loss 2.1881 (2.2654) Prec@1 47.656 (48.069) Prec@5 72.656 (73.315)
Epoch: [77][3000/5005] Time 0.198 (0.211) Data 0.051 (0.048) Loss 2.2169 (2.2653) Prec@1 46.875 (48.071) Prec@5 74.609 (73.316)
Epoch: [77][3010/5005] Time 0.205 (0.211) Data 0.050 (0.048) Loss 2.1484 (2.2654) Prec@1 45.703 (48.066) Prec@5 74.609 (73.314)
Epoch: [77][3020/5005] Time 0.204 (0.211) Data 0.045 (0.048) Loss 2.2006 (2.2656) Prec@1 46.094 (48.063) Prec@5 76.172 (73.311)
Epoch: [77][3030/5005] Time 0.215 (0.211) Data 0.046 (0.048) Loss 2.0707 (2.2654) Prec@1 54.688 (48.067) Prec@5 78.125 (73.316)
Epoch: [77][3040/5005] Time 0.207 (0.211) Data 0.052 (0.048) Loss 2.0710 (2.2653) Prec@1 53.125 (48.071) Prec@5 74.219 (73.315)
Epoch: [77][3050/5005] Time 0.213 (0.211) Data 0.043 (0.048) Loss 2.2968 (2.2653) Prec@1 44.141 (48.069) Prec@5 72.266 (73.314)
Epoch: [77][3060/5005] Time 0.205 (0.211) Data 0.046 (0.048) Loss 2.0888 (2.2651) Prec@1 53.125 (48.065) Prec@5 76.562 (73.320)
Epoch: [77][3070/5005] Time 0.212 (0.211) Data 0.042 (0.048) Loss 2.2443 (2.2652) Prec@1 49.609 (48.065) Prec@5 73.438 (73.321)
Epoch: [77][3080/5005] Time 0.196 (0.211) Data 0.049 (0.048) Loss 2.1278 (2.2651) Prec@1 46.484 (48.061) Prec@5 77.344 (73.322)
Epoch: [77][3090/5005] Time 0.208 (0.211) Data 0.038 (0.048) Loss 2.3832 (2.2650) Prec@1 46.484 (48.065) Prec@5 71.094 (73.324)
Epoch: [77][3100/5005] Time 0.202 (0.211) Data 0.042 (0.048) Loss 2.2151 (2.2650) Prec@1 49.609 (48.064) Prec@5 69.141 (73.323)
Epoch: [77][3110/5005] Time 0.195 (0.211) Data 0.042 (0.048) Loss 2.1417 (2.2648) Prec@1 48.438 (48.068) Prec@5 76.953 (73.329)
Epoch: [77][3120/5005] Time 0.207 (0.211) Data 0.044 (0.048) Loss 2.2610 (2.2647) Prec@1 43.750 (48.069) Prec@5 72.656 (73.328)
Epoch: [77][3130/5005] Time 0.210 (0.211) Data 0.042 (0.048) Loss 2.3824 (2.2645) Prec@1 44.922 (48.072) Prec@5 72.266 (73.331)
Epoch: [77][3140/5005] Time 0.211 (0.211) Data 0.046 (0.048) Loss 2.1724 (2.2643) Prec@1 49.219 (48.076) Prec@5 72.266 (73.332)
Epoch: [77][3150/5005] Time 0.212 (0.211) Data 0.042 (0.048) Loss 2.1905 (2.2643) Prec@1 50.781 (48.080) Prec@5 73.438 (73.332)
Epoch: [77][3160/5005] Time 0.211 (0.211) Data 0.040 (0.048) Loss 2.0915 (2.2642) Prec@1 51.172 (48.086) Prec@5 74.219 (73.331)
Epoch: [77][3170/5005] Time 0.210 (0.211) Data 0.045 (0.048) Loss 2.3096 (2.2642) Prec@1 44.922 (48.086) Prec@5 71.875 (73.330)
Epoch: [77][3180/5005] Time 0.215 (0.211) Data 0.044 (0.048) Loss 2.1819 (2.2643) Prec@1 50.781 (48.081) Prec@5 73.828 (73.329)
Epoch: [77][3190/5005] Time 0.209 (0.211) Data 0.042 (0.048) Loss 2.2309 (2.2643) Prec@1 49.609 (48.080) Prec@5 74.219 (73.332)
Epoch: [77][3200/5005] Time 0.210 (0.211) Data 0.042 (0.048) Loss 2.2424 (2.2642) Prec@1 48.047 (48.084) Prec@5 73.828 (73.333)
Epoch: [77][3210/5005] Time 0.206 (0.211) Data 0.050 (0.048) Loss 2.2347 (2.2642) Prec@1 48.047 (48.083) Prec@5 74.609 (73.335)
Epoch: [77][3220/5005] Time 0.207 (0.211) Data 0.046 (0.048) Loss 2.2434 (2.2641) Prec@1 48.828 (48.087) Prec@5 72.656 (73.334)
Epoch: [77][3230/5005] Time 0.212 (0.211) Data 0.047 (0.048) Loss 2.1613 (2.2640) Prec@1 50.391 (48.089) Prec@5 73.828 (73.336)
Epoch: [77][3240/5005] Time 0.207 (0.211) Data 0.049 (0.048) Loss 2.5368 (2.2643) Prec@1 42.188 (48.080) Prec@5 72.656 (73.334)
Epoch: [77][3250/5005] Time 0.204 (0.211) Data 0.043 (0.048) Loss 2.2082 (2.2644) Prec@1 50.391 (48.077) Prec@5 75.781 (73.335)
Epoch: [77][3260/5005] Time 0.204 (0.211) Data 0.043 (0.048) Loss 2.2161 (2.2645) Prec@1 47.656 (48.075) Prec@5 72.266 (73.334)
Epoch: [77][3270/5005] Time 0.206 (0.211) Data 0.057 (0.048) Loss 2.3913 (2.2643) Prec@1 50.391 (48.080) Prec@5 70.312 (73.337)
Epoch: [77][3280/5005] Time 0.211 (0.211) Data 0.042 (0.048) Loss 2.1232 (2.2644) Prec@1 53.516 (48.078) Prec@5 74.609 (73.337)
Epoch: [77][3290/5005] Time 0.215 (0.211) Data 0.041 (0.048) Loss 2.3069 (2.2642) Prec@1 48.047 (48.078) Prec@5 71.484 (73.340)
Epoch: [77][3300/5005] Time 0.215 (0.211) Data 0.044 (0.048) Loss 2.2347 (2.2643) Prec@1 42.578 (48.076) Prec@5 72.266 (73.336)
Epoch: [77][3310/5005] Time 0.210 (0.211) Data 0.044 (0.048) Loss 2.1478 (2.2642) Prec@1 53.125 (48.079) Prec@5 73.438 (73.337)
Epoch: [77][3320/5005] Time 0.206 (0.211) Data 0.043 (0.048) Loss 2.3524 (2.2642) Prec@1 48.047 (48.078) Prec@5 70.312 (73.338)
Epoch: [77][3330/5005] Time 0.209 (0.211) Data 0.043 (0.048) Loss 2.3535 (2.2643) Prec@1 44.531 (48.075) Prec@5 71.875 (73.335)
Epoch: [77][3340/5005] Time 0.212 (0.211) Data 0.044 (0.048) Loss 2.3532 (2.2644) Prec@1 48.438 (48.075) Prec@5 71.875 (73.335)
Epoch: [77][3350/5005] Time 0.208 (0.211) Data 0.046 (0.048) Loss 2.3425 (2.2642) Prec@1 46.484 (48.080) Prec@5 73.828 (73.339)
Epoch: [77][3360/5005] Time 0.207 (0.211) Data 0.045 (0.048) Loss 2.1411 (2.2642) Prec@1 49.219 (48.081) Prec@5 73.828 (73.338)
Epoch: [77][3370/5005] Time 0.209 (0.211) Data 0.049 (0.048) Loss 2.3300 (2.2644) Prec@1 45.312 (48.076) Prec@5 73.828 (73.334)
Epoch: [77][3380/5005] Time 0.200 (0.211) Data 0.057 (0.048) Loss 2.3132 (2.2644) Prec@1 48.047 (48.076) Prec@5 72.266 (73.335)
Epoch: [77][3390/5005] Time 0.205 (0.211) Data 0.059 (0.048) Loss 2.1519 (2.2644) Prec@1 51.953 (48.075) Prec@5 75.391 (73.332)
Epoch: [77][3400/5005] Time 0.209 (0.211) Data 0.057 (0.048) Loss 2.0727 (2.2644) Prec@1 48.047 (48.074) Prec@5 76.562 (73.333)
Epoch: [77][3410/5005] Time 0.210 (0.211) Data 0.056 (0.048) Loss 2.1525 (2.2643) Prec@1 50.391 (48.078) Prec@5 74.609 (73.337)
Epoch: [77][3420/5005] Time 0.200 (0.211) Data 0.041 (0.048) Loss 2.1990 (2.2642) Prec@1 50.391 (48.080) Prec@5 74.609 (73.339)
Epoch: [77][3430/5005] Time 0.222 (0.211) Data 0.046 (0.048) Loss 2.1926 (2.2642) Prec@1 46.484 (48.082) Prec@5 74.609 (73.341)
Epoch: [77][3440/5005] Time 0.206 (0.211) Data 0.044 (0.048) Loss 2.2519 (2.2641) Prec@1 47.656 (48.082) Prec@5 72.266 (73.342)
Epoch: [77][3450/5005] Time 0.213 (0.211) Data 0.043 (0.048) Loss 2.1425 (2.2640) Prec@1 47.266 (48.085) Prec@5 73.047 (73.344)
Epoch: [77][3460/5005] Time 0.213 (0.211) Data 0.045 (0.048) Loss 2.1847 (2.2640) Prec@1 49.219 (48.084) Prec@5 73.828 (73.345)
Epoch: [77][3470/5005] Time 0.208 (0.211) Data 0.044 (0.048) Loss 2.1014 (2.2638) Prec@1 51.172 (48.091) Prec@5 74.219 (73.348)
Epoch: [77][3480/5005] Time 0.201 (0.211) Data 0.045 (0.048) Loss 2.1670 (2.2635) Prec@1 48.438 (48.096) Prec@5 74.609 (73.351)
Epoch: [77][3490/5005] Time 0.198 (0.211) Data 0.047 (0.048) Loss 2.3522 (2.2635) Prec@1 44.922 (48.095) Prec@5 71.484 (73.351)
Epoch: [77][3500/5005] Time 0.196 (0.211) Data 0.042 (0.048) Loss 2.1161 (2.2635) Prec@1 48.438 (48.094) Prec@5 77.344 (73.353)
Epoch: [77][3510/5005] Time 0.200 (0.211) Data 0.043 (0.048) Loss 2.1238 (2.2634) Prec@1 48.828 (48.096) Prec@5 75.000 (73.353)
Epoch: [77][3520/5005] Time 0.211 (0.211) Data 0.043 (0.048) Loss 2.4390 (2.2634) Prec@1 44.141 (48.093) Prec@5 67.578 (73.352)
Epoch: [77][3530/5005] Time 0.211 (0.211) Data 0.043 (0.048) Loss 2.2914 (2.2633) Prec@1 48.438 (48.098) Prec@5 72.266 (73.357)
Epoch: [77][3540/5005] Time 0.200 (0.211) Data 0.045 (0.048) Loss 2.1368 (2.2631) Prec@1 51.953 (48.101) Prec@5 76.562 (73.359)
Epoch: [77][3550/5005] Time 0.209 (0.211) Data 0.044 (0.048) Loss 2.3732 (2.2630) Prec@1 46.875 (48.103) Prec@5 70.703 (73.359)
Epoch: [77][3560/5005] Time 0.212 (0.211) Data 0.044 (0.048) Loss 2.3925 (2.2630) Prec@1 41.016 (48.105) Prec@5 71.875 (73.359)
Epoch: [77][3570/5005] Time 0.203 (0.211) Data 0.051 (0.048) Loss 2.3169 (2.2630) Prec@1 44.141 (48.103) Prec@5 73.047 (73.360)
Epoch: [77][3580/5005] Time 0.217 (0.211) Data 0.044 (0.048) Loss 2.1294 (2.2630) Prec@1 51.172 (48.101) Prec@5 74.219 (73.361)
Epoch: [77][3590/5005] Time 0.209 (0.211) Data 0.042 (0.048) Loss 2.2901 (2.2628) Prec@1 46.484 (48.104) Prec@5 75.000 (73.363)
Epoch: [77][3600/5005] Time 0.212 (0.211) Data 0.044 (0.048) Loss 2.2508 (2.2625) Prec@1 49.609 (48.109) Prec@5 72.266 (73.366)
Epoch: [77][3610/5005] Time 0.213 (0.211) Data 0.045 (0.048) Loss 2.1597 (2.2625) Prec@1 50.000 (48.109) Prec@5 72.656 (73.362)
Epoch: [77][3620/5005] Time 0.208 (0.211) Data 0.041 (0.048) Loss 2.3694 (2.2623) Prec@1 45.312 (48.114) Prec@5 67.969 (73.364)
Epoch: [77][3630/5005] Time 0.201 (0.211) Data 0.041 (0.048) Loss 2.5186 (2.2622) Prec@1 39.844 (48.113) Prec@5 67.188 (73.361)
Epoch: [77][3640/5005] Time 0.200 (0.211) Data 0.051 (0.048) Loss 2.2669 (2.2622) Prec@1 47.656 (48.117) Prec@5 72.656 (73.359)
Epoch: [77][3650/5005] Time 0.212 (0.211) Data 0.042 (0.048) Loss 2.0035 (2.2622) Prec@1 49.609 (48.112) Prec@5 76.953 (73.361)
Epoch: [77][3660/5005] Time 0.210 (0.211) Data 0.042 (0.048) Loss 2.2855 (2.2620) Prec@1 46.094 (48.115) Prec@5 69.531 (73.366)
Epoch: [77][3670/5005] Time 0.202 (0.211) Data 0.039 (0.048) Loss 2.3169 (2.2621) Prec@1 44.531 (48.115) Prec@5 73.047 (73.364)
Epoch: [77][3680/5005] Time 0.206 (0.210) Data 0.060 (0.048) Loss 2.1638 (2.2621) Prec@1 47.656 (48.116) Prec@5 75.391 (73.364)
Epoch: [77][3690/5005] Time 0.205 (0.210) Data 0.058 (0.048) Loss 2.0252 (2.2621) Prec@1 46.875 (48.116) Prec@5 78.125 (73.366)
Epoch: [77][3700/5005] Time 0.197 (0.210) Data 0.057 (0.048) Loss 2.2056 (2.2621) Prec@1 52.734 (48.115) Prec@5 73.828 (73.364)
Epoch: [77][3710/5005] Time 0.208 (0.210) Data 0.045 (0.048) Loss 2.1165 (2.2621) Prec@1 48.828 (48.113) Prec@5 75.000 (73.361)
Epoch: [77][3720/5005] Time 0.207 (0.210) Data 0.048 (0.048) Loss 2.3931 (2.2621) Prec@1 46.875 (48.113) Prec@5 69.141 (73.359)
Epoch: [77][3730/5005] Time 0.213 (0.210) Data 0.046 (0.048) Loss 2.0996 (2.2621) Prec@1 53.125 (48.114) Prec@5 76.562 (73.360)
Epoch: [77][3740/5005] Time 0.214 (0.210) Data 0.044 (0.048) Loss 2.1839 (2.2618) Prec@1 48.438 (48.115) Prec@5 76.953 (73.365)
Epoch: [77][3750/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.0083 (2.2619) Prec@1 52.344 (48.114) Prec@5 77.344 (73.363)
Epoch: [77][3760/5005] Time 0.207 (0.210) Data 0.043 (0.048) Loss 2.3097 (2.2619) Prec@1 48.828 (48.115) Prec@5 71.484 (73.363)
Epoch: [77][3770/5005] Time 0.204 (0.210) Data 0.044 (0.048) Loss 2.3462 (2.2618) Prec@1 47.266 (48.113) Prec@5 71.094 (73.365)
Epoch: [77][3780/5005] Time 0.217 (0.210) Data 0.042 (0.048) Loss 2.1608 (2.2617) Prec@1 52.344 (48.116) Prec@5 75.781 (73.365)
Epoch: [77][3790/5005] Time 0.204 (0.210) Data 0.050 (0.048) Loss 2.3475 (2.2618) Prec@1 50.781 (48.114) Prec@5 75.000 (73.364)
Epoch: [77][3800/5005] Time 0.204 (0.210) Data 0.049 (0.048) Loss 2.1229 (2.2620) Prec@1 54.297 (48.111) Prec@5 73.828 (73.357)
Epoch: [77][3810/5005] Time 0.204 (0.210) Data 0.065 (0.048) Loss 2.2805 (2.2621) Prec@1 50.391 (48.110) Prec@5 70.703 (73.355)
Epoch: [77][3820/5005] Time 0.217 (0.210) Data 0.051 (0.048) Loss 2.1876 (2.2619) Prec@1 46.484 (48.115) Prec@5 73.047 (73.356)
Epoch: [77][3830/5005] Time 0.206 (0.210) Data 0.053 (0.048) Loss 2.1712 (2.2617) Prec@1 47.266 (48.118) Prec@5 73.438 (73.360)
Epoch: [77][3840/5005] Time 0.197 (0.210) Data 0.051 (0.048) Loss 2.4916 (2.2619) Prec@1 43.359 (48.115) Prec@5 69.531 (73.357)
Epoch: [77][3850/5005] Time 0.203 (0.210) Data 0.050 (0.048) Loss 2.2334 (2.2618) Prec@1 47.656 (48.114) Prec@5 73.828 (73.361)
Epoch: [77][3860/5005] Time 0.208 (0.210) Data 0.043 (0.048) Loss 2.1447 (2.2617) Prec@1 51.953 (48.117) Prec@5 74.609 (73.363)
Epoch: [77][3870/5005] Time 0.207 (0.210) Data 0.048 (0.048) Loss 2.2716 (2.2618) Prec@1 47.266 (48.114) Prec@5 71.484 (73.361)
Epoch: [77][3880/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.1460 (2.2617) Prec@1 49.609 (48.117) Prec@5 73.438 (73.361)
Epoch: [77][3890/5005] Time 0.196 (0.210) Data 0.054 (0.048) Loss 2.4911 (2.2616) Prec@1 46.875 (48.118) Prec@5 70.312 (73.363)
Epoch: [77][3900/5005] Time 0.197 (0.210) Data 0.046 (0.048) Loss 2.4862 (2.2617) Prec@1 46.094 (48.117) Prec@5 73.438 (73.362)
Epoch: [77][3910/5005] Time 0.209 (0.210) Data 0.052 (0.048) Loss 2.3616 (2.2617) Prec@1 41.406 (48.117) Prec@5 72.656 (73.360)
Epoch: [77][3920/5005] Time 0.212 (0.210) Data 0.058 (0.048) Loss 2.2592 (2.2618) Prec@1 46.875 (48.116) Prec@5 73.047 (73.357)
Epoch: [77][3930/5005] Time 0.205 (0.210) Data 0.043 (0.048) Loss 2.3134 (2.2617) Prec@1 47.656 (48.116) Prec@5 73.047 (73.358)
Epoch: [77][3940/5005] Time 0.210 (0.210) Data 0.050 (0.048) Loss 2.2618 (2.2616) Prec@1 49.609 (48.114) Prec@5 71.875 (73.357)
Epoch: [77][3950/5005] Time 0.194 (0.210) Data 0.046 (0.048) Loss 2.0390 (2.2614) Prec@1 56.641 (48.118) Prec@5 78.125 (73.361)
Epoch: [77][3960/5005] Time 0.204 (0.210) Data 0.044 (0.048) Loss 2.2685 (2.2615) Prec@1 48.047 (48.117) Prec@5 76.172 (73.361)
Epoch: [77][3970/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.2869 (2.2614) Prec@1 47.266 (48.115) Prec@5 73.438 (73.363)
Epoch: [77][3980/5005] Time 0.199 (0.210) Data 0.057 (0.048) Loss 2.2263 (2.2613) Prec@1 47.656 (48.116) Prec@5 74.609 (73.365)
Epoch: [77][3990/5005] Time 0.211 (0.210) Data 0.046 (0.048) Loss 2.3657 (2.2612) Prec@1 46.094 (48.118) Prec@5 70.312 (73.367)
Epoch: [77][4000/5005] Time 0.205 (0.210) Data 0.053 (0.048) Loss 2.2136 (2.2613) Prec@1 48.438 (48.116) Prec@5 73.828 (73.367)
Epoch: [77][4010/5005] Time 0.193 (0.210) Data 0.048 (0.048) Loss 2.2413 (2.2612) Prec@1 49.609 (48.119) Prec@5 72.266 (73.369)
Epoch: [77][4020/5005] Time 0.204 (0.210) Data 0.046 (0.048) Loss 2.4191 (2.2612) Prec@1 47.656 (48.119) Prec@5 69.141 (73.368)
Epoch: [77][4030/5005] Time 0.202 (0.210) Data 0.048 (0.048) Loss 2.4890 (2.2614) Prec@1 46.094 (48.116) Prec@5 67.578 (73.366)
Epoch: [77][4040/5005] Time 0.203 (0.210) Data 0.043 (0.048) Loss 2.3078 (2.2615) Prec@1 48.047 (48.114) Prec@5 70.312 (73.364)
Epoch: [77][4050/5005] Time 0.213 (0.210) Data 0.046 (0.048) Loss 2.5983 (2.2615) Prec@1 40.625 (48.115) Prec@5 66.016 (73.361)
Epoch: [77][4060/5005] Time 0.214 (0.210) Data 0.044 (0.048) Loss 2.3069 (2.2614) Prec@1 44.922 (48.116) Prec@5 72.266 (73.360)
Epoch: [77][4070/5005] Time 0.201 (0.210) Data 0.057 (0.048) Loss 2.4194 (2.2614) Prec@1 46.094 (48.117) Prec@5 72.656 (73.362)
Epoch: [77][4080/5005] Time 0.202 (0.210) Data 0.059 (0.048) Loss 2.1391 (2.2613) Prec@1 49.609 (48.118) Prec@5 75.000 (73.363)
Epoch: [77][4090/5005] Time 0.198 (0.210) Data 0.047 (0.048) Loss 2.3693 (2.2613) Prec@1 48.828 (48.118) Prec@5 70.312 (73.362)
Epoch: [77][4100/5005] Time 0.216 (0.210) Data 0.041 (0.048) Loss 2.1846 (2.2613) Prec@1 49.609 (48.115) Prec@5 74.219 (73.360)
Epoch: [77][4110/5005] Time 0.207 (0.210) Data 0.052 (0.048) Loss 2.3395 (2.2613) Prec@1 44.141 (48.115) Prec@5 75.781 (73.361)
Epoch: [77][4120/5005] Time 0.209 (0.210) Data 0.044 (0.048) Loss 2.4286 (2.2612) Prec@1 44.922 (48.115) Prec@5 69.531 (73.361)
Epoch: [77][4130/5005] Time 0.196 (0.210) Data 0.055 (0.048) Loss 2.2741 (2.2612) Prec@1 47.266 (48.115) Prec@5 76.172 (73.363)
Epoch: [77][4140/5005] Time 0.211 (0.210) Data 0.050 (0.048) Loss 2.3131 (2.2612) Prec@1 45.312 (48.114) Prec@5 72.266 (73.363)
Epoch: [77][4150/5005] Time 0.205 (0.210) Data 0.047 (0.048) Loss 2.4494 (2.2613) Prec@1 44.141 (48.111) Prec@5 71.875 (73.363)
Epoch: [77][4160/5005] Time 0.212 (0.210) Data 0.049 (0.048) Loss 2.2390 (2.2613) Prec@1 50.000 (48.112) Prec@5 73.438 (73.364)
Epoch: [77][4170/5005] Time 0.210 (0.210) Data 0.047 (0.048) Loss 2.2081 (2.2612) Prec@1 46.484 (48.115) Prec@5 75.000 (73.366)
Epoch: [77][4180/5005] Time 0.209 (0.210) Data 0.046 (0.048) Loss 2.2662 (2.2611) Prec@1 48.828 (48.116) Prec@5 73.047 (73.365)
Epoch: [77][4190/5005] Time 0.205 (0.210) Data 0.044 (0.048) Loss 2.0817 (2.2611) Prec@1 50.391 (48.117) Prec@5 75.000 (73.366)
Epoch: [77][4200/5005] Time 0.209 (0.210) Data 0.044 (0.048) Loss 2.1247 (2.2611) Prec@1 50.391 (48.118) Prec@5 73.047 (73.364)
Epoch: [77][4210/5005] Time 0.213 (0.210) Data 0.045 (0.048) Loss 2.1589 (2.2610) Prec@1 46.875 (48.120) Prec@5 77.344 (73.364)
Epoch: [77][4220/5005] Time 0.200 (0.210) Data 0.048 (0.048) Loss 2.3482 (2.2611) Prec@1 46.094 (48.118) Prec@5 70.312 (73.364)
Epoch: [77][4230/5005] Time 0.209 (0.210) Data 0.044 (0.048) Loss 2.3254 (2.2612) Prec@1 48.438 (48.114) Prec@5 74.609 (73.365)
Epoch: [77][4240/5005] Time 0.214 (0.210) Data 0.044 (0.048) Loss 2.1201 (2.2611) Prec@1 46.094 (48.115) Prec@5 76.562 (73.367)
Epoch: [77][4250/5005] Time 0.216 (0.210) Data 0.045 (0.048) Loss 2.1334 (2.2610) Prec@1 53.516 (48.118) Prec@5 73.047 (73.368)
Epoch: [77][4260/5005] Time 0.207 (0.210) Data 0.043 (0.048) Loss 2.1246 (2.2609) Prec@1 48.828 (48.119) Prec@5 75.781 (73.371)
Epoch: [77][4270/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.5321 (2.2610) Prec@1 48.047 (48.119) Prec@5 69.922 (73.371)
Epoch: [77][4280/5005] Time 0.218 (0.210) Data 0.041 (0.048) Loss 2.3150 (2.2610) Prec@1 48.828 (48.120) Prec@5 74.609 (73.371)
Epoch: [77][4290/5005] Time 0.213 (0.210) Data 0.044 (0.048) Loss 2.5107 (2.2610) Prec@1 44.531 (48.119) Prec@5 69.922 (73.371)
Epoch: [77][4300/5005] Time 0.204 (0.210) Data 0.039 (0.048) Loss 2.1149 (2.2608) Prec@1 50.781 (48.123) Prec@5 76.562 (73.376)
Epoch: [77][4310/5005] Time 0.216 (0.210) Data 0.045 (0.048) Loss 2.1121 (2.2607) Prec@1 52.734 (48.125) Prec@5 76.172 (73.377)
Epoch: [77][4320/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.2099 (2.2608) Prec@1 49.609 (48.125) Prec@5 75.000 (73.377)
Epoch: [77][4330/5005] Time 0.210 (0.210) Data 0.042 (0.048) Loss 2.1841 (2.2607) Prec@1 48.828 (48.127) Prec@5 76.953 (73.380)
Epoch: [77][4340/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.3359 (2.2608) Prec@1 45.703 (48.123) Prec@5 68.359 (73.379)
Epoch: [77][4350/5005] Time 0.219 (0.210) Data 0.042 (0.048) Loss 2.3523 (2.2607) Prec@1 47.266 (48.122) Prec@5 73.047 (73.380)
Epoch: [77][4360/5005] Time 0.214 (0.210) Data 0.047 (0.048) Loss 2.0460 (2.2606) Prec@1 50.391 (48.127) Prec@5 77.344 (73.383)
Epoch: [77][4370/5005] Time 0.213 (0.210) Data 0.046 (0.048) Loss 2.1736 (2.2607) Prec@1 50.781 (48.126) Prec@5 73.047 (73.380)
Epoch: [77][4380/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.2721 (2.2606) Prec@1 47.656 (48.126) Prec@5 69.531 (73.381)
Epoch: [77][4390/5005] Time 0.209 (0.210) Data 0.045 (0.048) Loss 2.2783 (2.2605) Prec@1 50.000 (48.130) Prec@5 74.609 (73.383)
Epoch: [77][4400/5005] Time 0.195 (0.210) Data 0.057 (0.048) Loss 2.2098 (2.2605) Prec@1 44.141 (48.128) Prec@5 74.219 (73.380)
Epoch: [77][4410/5005] Time 0.213 (0.210) Data 0.046 (0.048) Loss 2.2168 (2.2604) Prec@1 50.391 (48.129) Prec@5 76.562 (73.381)
Epoch: [77][4420/5005] Time 0.219 (0.210) Data 0.041 (0.048) Loss 1.9257 (2.2603) Prec@1 53.516 (48.129) Prec@5 77.344 (73.382)
Epoch: [77][4430/5005] Time 0.205 (0.210) Data 0.047 (0.048) Loss 2.2687 (2.2601) Prec@1 47.266 (48.135) Prec@5 70.312 (73.384)
Epoch: [77][4440/5005] Time 0.201 (0.210) Data 0.045 (0.048) Loss 2.4635 (2.2601) Prec@1 45.312 (48.137) Prec@5 70.312 (73.384)
Epoch: [77][4450/5005] Time 0.202 (0.210) Data 0.045 (0.048) Loss 2.0584 (2.2601) Prec@1 49.219 (48.137) Prec@5 78.125 (73.384)
Epoch: [77][4460/5005] Time 0.203 (0.210) Data 0.047 (0.048) Loss 2.3515 (2.2600) Prec@1 49.609 (48.140) Prec@5 71.484 (73.384)
Epoch: [77][4470/5005] Time 0.209 (0.210) Data 0.044 (0.048) Loss 2.2053 (2.2601) Prec@1 46.875 (48.140) Prec@5 73.828 (73.384)
Epoch: [77][4480/5005] Time 0.213 (0.210) Data 0.038 (0.048) Loss 2.1077 (2.2602) Prec@1 48.828 (48.137) Prec@5 75.000 (73.381)
Epoch: [77][4490/5005] Time 0.203 (0.210) Data 0.047 (0.048) Loss 2.2892 (2.2603) Prec@1 47.656 (48.134) Prec@5 69.922 (73.380)
Epoch: [77][4500/5005] Time 0.199 (0.210) Data 0.043 (0.048) Loss 2.1331 (2.2602) Prec@1 50.000 (48.136) Prec@5 74.609 (73.382)
Epoch: [77][4510/5005] Time 0.215 (0.210) Data 0.042 (0.048) Loss 2.0911 (2.2603) Prec@1 50.000 (48.133) Prec@5 75.000 (73.379)
Epoch: [77][4520/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.1977 (2.2602) Prec@1 52.734 (48.137) Prec@5 74.609 (73.380)
Epoch: [77][4530/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.1889 (2.2602) Prec@1 47.656 (48.139) Prec@5 76.172 (73.381)
Epoch: [77][4540/5005] Time 0.205 (0.210) Data 0.040 (0.048) Loss 2.2688 (2.2603) Prec@1 48.828 (48.138) Prec@5 76.562 (73.379)
Epoch: [77][4550/5005] Time 0.200 (0.210) Data 0.044 (0.048) Loss 2.3696 (2.2603) Prec@1 46.484 (48.138) Prec@5 71.484 (73.378)
Epoch: [77][4560/5005] Time 0.215 (0.210) Data 0.047 (0.048) Loss 2.2577 (2.2603) Prec@1 48.047 (48.140) Prec@5 73.828 (73.379)
Epoch: [77][4570/5005] Time 0.207 (0.210) Data 0.043 (0.048) Loss 2.2909 (2.2601) Prec@1 49.219 (48.143) Prec@5 72.656 (73.381)
Epoch: [77][4580/5005] Time 0.206 (0.210) Data 0.045 (0.048) Loss 2.3658 (2.2600) Prec@1 44.922 (48.145) Prec@5 69.141 (73.382)
Epoch: [77][4590/5005] Time 0.211 (0.210) Data 0.042 (0.048) Loss 2.1469 (2.2601) Prec@1 50.781 (48.144) Prec@5 76.172 (73.381)
Epoch: [77][4600/5005] Time 0.205 (0.210) Data 0.039 (0.048) Loss 2.0303 (2.2601) Prec@1 57.812 (48.146) Prec@5 75.391 (73.379)
Epoch: [77][4610/5005] Time 0.204 (0.210) Data 0.045 (0.047) Loss 2.1156 (2.2601) Prec@1 50.781 (48.147) Prec@5 74.609 (73.379)
Epoch: [77][4620/5005] Time 0.206 (0.210) Data 0.044 (0.047) Loss 2.1200 (2.2601) Prec@1 49.609 (48.146) Prec@5 73.828 (73.377)
Epoch: [77][4630/5005] Time 0.214 (0.210) Data 0.042 (0.047) Loss 2.1053 (2.2600) Prec@1 49.609 (48.147) Prec@5 78.516 (73.380)
Epoch: [77][4640/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.3208 (2.2599) Prec@1 49.609 (48.147) Prec@5 71.875 (73.380)
Epoch: [77][4650/5005] Time 0.204 (0.210) Data 0.051 (0.047) Loss 2.2551 (2.2599) Prec@1 47.266 (48.147) Prec@5 73.828 (73.381)
Epoch: [77][4660/5005] Time 0.206 (0.210) Data 0.047 (0.047) Loss 2.4942 (2.2599) Prec@1 42.578 (48.147) Prec@5 68.750 (73.381)
Epoch: [77][4670/5005] Time 0.204 (0.210) Data 0.059 (0.047) Loss 2.0151 (2.2598) Prec@1 50.000 (48.150) Prec@5 77.734 (73.383)
Epoch: [77][4680/5005] Time 0.213 (0.210) Data 0.046 (0.047) Loss 2.0942 (2.2596) Prec@1 50.000 (48.154) Prec@5 75.391 (73.384)
Epoch: [77][4690/5005] Time 0.210 (0.210) Data 0.040 (0.047) Loss 2.1796 (2.2595) Prec@1 47.266 (48.150) Prec@5 76.172 (73.387)
Epoch: [77][4700/5005] Time 0.215 (0.210) Data 0.042 (0.047) Loss 2.1683 (2.2595) Prec@1 49.219 (48.151) Prec@5 74.609 (73.386)
Epoch: [77][4710/5005] Time 0.217 (0.210) Data 0.043 (0.047) Loss 2.1033 (2.2593) Prec@1 53.125 (48.153) Prec@5 75.391 (73.390)
Epoch: [77][4720/5005] Time 0.210 (0.210) Data 0.051 (0.047) Loss 2.1865 (2.2593) Prec@1 48.438 (48.152) Prec@5 73.047 (73.390)
Epoch: [77][4730/5005] Time 0.195 (0.210) Data 0.060 (0.047) Loss 2.1810 (2.2595) Prec@1 48.828 (48.149) Prec@5 75.781 (73.387)
Epoch: [77][4740/5005] Time 0.204 (0.210) Data 0.047 (0.047) Loss 2.2624 (2.2594) Prec@1 50.000 (48.149) Prec@5 75.000 (73.389)
Epoch: [77][4750/5005] Time 0.202 (0.210) Data 0.043 (0.047) Loss 2.1712 (2.2593) Prec@1 51.953 (48.151) Prec@5 76.562 (73.390)
Epoch: [77][4760/5005] Time 0.211 (0.210) Data 0.046 (0.047) Loss 2.4962 (2.2591) Prec@1 42.969 (48.154) Prec@5 72.266 (73.393)
Epoch: [77][4770/5005] Time 0.205 (0.210) Data 0.043 (0.047) Loss 2.1439 (2.2591) Prec@1 51.953 (48.152) Prec@5 75.000 (73.393)
Epoch: [77][4780/5005] Time 0.208 (0.210) Data 0.046 (0.047) Loss 2.3211 (2.2591) Prec@1 47.656 (48.155) Prec@5 71.094 (73.392)
Epoch: [77][4790/5005] Time 0.208 (0.210) Data 0.050 (0.047) Loss 2.4023 (2.2591) Prec@1 49.609 (48.156) Prec@5 71.094 (73.391)
Epoch: [77][4800/5005] Time 0.209 (0.210) Data 0.048 (0.047) Loss 2.3727 (2.2591) Prec@1 46.484 (48.156) Prec@5 73.438 (73.391)
Epoch: [77][4810/5005] Time 0.199 (0.210) Data 0.055 (0.047) Loss 2.4092 (2.2590) Prec@1 44.922 (48.156) Prec@5 69.531 (73.392)
Epoch: [77][4820/5005] Time 0.199 (0.210) Data 0.056 (0.047) Loss 2.3092 (2.2589) Prec@1 50.781 (48.160) Prec@5 70.703 (73.393)
Epoch: [77][4830/5005] Time 0.203 (0.210) Data 0.049 (0.047) Loss 2.2459 (2.2587) Prec@1 49.219 (48.163) Prec@5 71.094 (73.394)
Epoch: [77][4840/5005] Time 0.194 (0.210) Data 0.064 (0.047) Loss 2.0752 (2.2587) Prec@1 53.516 (48.161) Prec@5 75.391 (73.393)
Epoch: [77][4850/5005] Time 0.216 (0.210) Data 0.045 (0.047) Loss 2.5158 (2.2589) Prec@1 41.406 (48.158) Prec@5 69.922 (73.391)
Epoch: [77][4860/5005] Time 0.205 (0.210) Data 0.044 (0.047) Loss 2.2737 (2.2587) Prec@1 47.266 (48.161) Prec@5 72.656 (73.393)
Epoch: [77][4870/5005] Time 0.186 (0.210) Data 0.045 (0.047) Loss 2.2674 (2.2586) Prec@1 49.609 (48.162) Prec@5 71.875 (73.395)
Epoch: [77][4880/5005] Time 0.196 (0.210) Data 0.063 (0.047) Loss 2.1637 (2.2585) Prec@1 49.609 (48.167) Prec@5 73.828 (73.396)
Epoch: [77][4890/5005] Time 0.208 (0.210) Data 0.047 (0.047) Loss 2.3881 (2.2586) Prec@1 46.875 (48.165) Prec@5 72.656 (73.397)
Epoch: [77][4900/5005] Time 0.201 (0.210) Data 0.053 (0.047) Loss 2.1758 (2.2585) Prec@1 46.484 (48.164) Prec@5 74.219 (73.397)
Epoch: [77][4910/5005] Time 0.202 (0.210) Data 0.047 (0.047) Loss 2.1934 (2.2583) Prec@1 49.219 (48.168) Prec@5 75.781 (73.400)
Epoch: [77][4920/5005] Time 0.203 (0.210) Data 0.049 (0.047) Loss 2.1624 (2.2582) Prec@1 45.312 (48.166) Prec@5 74.219 (73.401)
Epoch: [77][4930/5005] Time 0.203 (0.210) Data 0.053 (0.047) Loss 2.3857 (2.2581) Prec@1 45.703 (48.166) Prec@5 70.312 (73.403)
Epoch: [77][4940/5005] Time 0.205 (0.210) Data 0.046 (0.047) Loss 2.2382 (2.2582) Prec@1 50.391 (48.167) Prec@5 72.656 (73.403)
Epoch: [77][4950/5005] Time 0.204 (0.210) Data 0.052 (0.047) Loss 1.9222 (2.2582) Prec@1 53.906 (48.166) Prec@5 78.906 (73.403)
Epoch: [77][4960/5005] Time 0.207 (0.210) Data 0.042 (0.047) Loss 2.4453 (2.2582) Prec@1 47.266 (48.166) Prec@5 70.312 (73.403)
Epoch: [77][4970/5005] Time 0.206 (0.210) Data 0.051 (0.047) Loss 2.2945 (2.2581) Prec@1 49.219 (48.169) Prec@5 71.875 (73.407)
Epoch: [77][4980/5005] Time 0.207 (0.210) Data 0.051 (0.047) Loss 2.0690 (2.2579) Prec@1 51.953 (48.172) Prec@5 78.516 (73.411)
Epoch: [77][4990/5005] Time 0.207 (0.210) Data 0.022 (0.047) Loss 2.4710 (2.2578) Prec@1 39.453 (48.174) Prec@5 70.312 (73.413)
Epoch: [77][5000/5005] Time 0.205 (0.210) Data 0.021 (0.047) Loss 2.3782 (2.2578) Prec@1 45.703 (48.174) Prec@5 74.219 (73.414)
Test: [0/196] Time 1.764 (1.764) Loss 2.3495 (2.3495) Prec@1 48.438 (48.438) Prec@5 70.703 (70.703)
Test: [10/196] Time 0.044 (0.308) Loss 2.4966 (2.5453) Prec@1 44.141 (43.999) Prec@5 69.922 (69.034)
Test: [20/196] Time 0.044 (0.240) Loss 2.3910 (2.5468) Prec@1 45.703 (43.731) Prec@5 72.266 (69.196)
Test: [30/196] Time 0.044 (0.208) Loss 2.4573 (2.5510) Prec@1 44.141 (43.422) Prec@5 68.750 (68.876)
Test: [40/196] Time 0.348 (0.218) Loss 2.2878 (2.5447) Prec@1 51.562 (43.883) Prec@5 73.047 (69.036)
Test: [50/196] Time 0.045 (0.204) Loss 2.5843 (2.5448) Prec@1 46.094 (43.964) Prec@5 71.094 (69.171)
Test: [60/196] Time 0.043 (0.195) Loss 2.4710 (2.5274) Prec@1 44.922 (44.249) Prec@5 71.484 (69.467)
Test: [70/196] Time 0.042 (0.192) Loss 2.4342 (2.5193) Prec@1 45.703 (44.234) Prec@5 67.969 (69.504)
Test: [80/196] Time 0.141 (0.189) Loss 2.3520 (2.5251) Prec@1 49.609 (44.280) Prec@5 75.781 (69.425)
Test: [90/196] Time 0.043 (0.188) Loss 2.6291 (2.5272) Prec@1 44.531 (44.265) Prec@5 66.016 (69.398)
Test: [100/196] Time 0.041 (0.186) Loss 2.5881 (2.5243) Prec@1 44.141 (44.435) Prec@5 68.359 (69.462)
Test: [110/196] Time 0.098 (0.184) Loss 2.7248 (2.5268) Prec@1 40.625 (44.457) Prec@5 64.453 (69.426)
Test: [120/196] Time 0.044 (0.184) Loss 2.3361 (2.5242) Prec@1 43.750 (44.560) Prec@5 73.047 (69.457)
Test: [130/196] Time 0.042 (0.185) Loss 2.2378 (2.5208) Prec@1 48.438 (44.624) Prec@5 74.609 (69.555)
Test: [140/196] Time 0.045 (0.183) Loss 2.3434 (2.5234) Prec@1 50.391 (44.578) Prec@5 73.047 (69.520)
Test: [150/196] Time 0.042 (0.187) Loss 2.1603 (2.5222) Prec@1 48.047 (44.570) Prec@5 78.125 (69.586)
Test: [160/196] Time 0.044 (0.182) Loss 2.4395 (2.5205) Prec@1 49.219 (44.582) Prec@5 70.703 (69.628)
Test: [170/196] Time 0.042 (0.181) Loss 2.4188 (2.5228) Prec@1 44.141 (44.518) Prec@5 74.219 (69.582)
Test: [180/196] Time 0.043 (0.180) Loss 2.7080 (2.5276) Prec@1 42.578 (44.402) Prec@5 66.016 (69.499)
Test: [190/196] Time 0.655 (0.182) Loss 2.7350 (2.5310) Prec@1 43.359 (44.366) Prec@5 66.016 (69.386)
* Prec@1 44.368 Prec@5 69.406
Learning rate: 1e-06
Epoch: [78][0/5005] Time 1.139 (1.139) Data 1.036 (1.036) Loss 2.1877 (2.1877) Prec@1 46.484 (46.484) Prec@5 76.562 (76.562)
Epoch: [78][10/5005] Time 0.201 (0.288) Data 0.047 (0.137) Loss 2.2110 (2.2669) Prec@1 49.609 (47.550) Prec@5 73.828 (73.402)
Epoch: [78][20/5005] Time 0.209 (0.248) Data 0.044 (0.094) Loss 2.4297 (2.2797) Prec@1 44.531 (47.154) Prec@5 74.219 (73.103)
Epoch: [78][30/5005] Time 0.208 (0.234) Data 0.041 (0.078) Loss 2.1638 (2.2526) Prec@1 51.953 (48.261) Prec@5 73.828 (73.261)
Epoch: [78][40/5005] Time 0.195 (0.227) Data 0.046 (0.070) Loss 2.2774 (2.2577) Prec@1 49.219 (48.199) Prec@5 72.266 (73.114)
Epoch: [78][50/5005] Time 0.200 (0.222) Data 0.047 (0.065) Loss 2.1679 (2.2570) Prec@1 50.391 (48.093) Prec@5 78.125 (73.346)
Epoch: [78][60/5005] Time 0.205 (0.219) Data 0.047 (0.062) Loss 2.1913 (2.2570) Prec@1 50.781 (47.983) Prec@5 74.609 (73.476)
Epoch: [78][70/5005] Time 0.202 (0.217) Data 0.053 (0.061) Loss 2.3005 (2.2690) Prec@1 47.266 (47.948) Prec@5 72.656 (73.234)
Epoch: [78][80/5005] Time 0.196 (0.215) Data 0.048 (0.060) Loss 2.1670 (2.2620) Prec@1 48.047 (48.023) Prec@5 76.562 (73.423)
Epoch: [78][90/5005] Time 0.203 (0.214) Data 0.046 (0.058) Loss 2.3678 (2.2617) Prec@1 47.266 (48.086) Prec@5 72.656 (73.433)
Epoch: [78][100/5005] Time 0.205 (0.213) Data 0.049 (0.057) Loss 2.2322 (2.2653) Prec@1 47.656 (48.004) Prec@5 74.609 (73.337)
Epoch: [78][110/5005] Time 0.212 (0.211) Data 0.050 (0.056) Loss 2.3078 (2.2637) Prec@1 49.219 (48.170) Prec@5 72.266 (73.395)
Epoch: [78][120/5005] Time 0.208 (0.211) Data 0.052 (0.056) Loss 2.3639 (2.2669) Prec@1 48.047 (48.231) Prec@5 70.312 (73.276)
Epoch: [78][130/5005] Time 0.198 (0.210) Data 0.051 (0.055) Loss 2.3553 (2.2690) Prec@1 49.609 (48.107) Prec@5 70.312 (73.217)
Epoch: [78][140/5005] Time 0.202 (0.210) Data 0.045 (0.055) Loss 2.3581 (2.2674) Prec@1 47.266 (48.102) Prec@5 72.266 (73.205)
Epoch: [78][150/5005] Time 0.205 (0.210) Data 0.047 (0.054) Loss 2.4849 (2.2696) Prec@1 45.703 (48.086) Prec@5 68.750 (73.194)
Epoch: [78][160/5005] Time 0.199 (0.209) Data 0.045 (0.054) Loss 2.1886 (2.2698) Prec@1 47.656 (48.044) Prec@5 73.438 (73.212)
Epoch: [78][170/5005] Time 0.222 (0.209) Data 0.044 (0.053) Loss 2.3660 (2.2708) Prec@1 48.828 (48.118) Prec@5 72.266 (73.214)
Epoch: [78][180/5005] Time 0.231 (0.210) Data 0.049 (0.053) Loss 2.4585 (2.2711) Prec@1 46.094 (48.116) Prec@5 69.531 (73.183)
Epoch: [78][190/5005] Time 0.226 (0.211) Data 0.043 (0.053) Loss 2.3950 (2.2765) Prec@1 46.875 (48.016) Prec@5 72.266 (73.118)
Epoch: [78][200/5005] Time 0.228 (0.211) Data 0.044 (0.053) Loss 2.4503 (2.2787) Prec@1 37.500 (47.938) Prec@5 71.094 (73.099)
Epoch: [78][210/5005] Time 0.231 (0.212) Data 0.044 (0.052) Loss 2.1742 (2.2781) Prec@1 50.781 (47.925) Prec@5 75.781 (73.114)
Epoch: [78][220/5005] Time 0.223 (0.212) Data 0.040 (0.052) Loss 2.3594 (2.2775) Prec@1 48.828 (47.994) Prec@5 73.047 (73.149)
Epoch: [78][230/5005] Time 0.222 (0.213) Data 0.045 (0.052) Loss 2.3844 (2.2772) Prec@1 41.797 (48.005) Prec@5 71.484 (73.170)
Epoch: [78][240/5005] Time 0.214 (0.213) Data 0.064 (0.052) Loss 2.1887 (2.2770) Prec@1 50.000 (47.938) Prec@5 72.266 (73.167)
Epoch: [78][250/5005] Time 0.214 (0.213) Data 0.049 (0.052) Loss 2.3313 (2.2759) Prec@1 51.562 (47.975) Prec@5 71.484 (73.220)
Epoch: [78][260/5005] Time 0.218 (0.213) Data 0.044 (0.051) Loss 2.0696 (2.2759) Prec@1 52.344 (47.953) Prec@5 73.828 (73.207)
Epoch: [78][270/5005] Time 0.219 (0.213) Data 0.044 (0.051) Loss 2.3577 (2.2766) Prec@1 48.047 (47.950) Prec@5 73.438 (73.174)
Epoch: [78][280/5005] Time 0.216 (0.214) Data 0.043 (0.051) Loss 2.7263 (2.2786) Prec@1 41.016 (47.895) Prec@5 66.406 (73.147)
Epoch: [78][290/5005] Time 0.221 (0.214) Data 0.044 (0.051) Loss 2.1797 (2.2800) Prec@1 51.172 (47.863) Prec@5 73.828 (73.090)
Epoch: [78][300/5005] Time 0.224 (0.214) Data 0.044 (0.051) Loss 2.1119 (2.2801) Prec@1 50.000 (47.825) Prec@5 73.828 (73.079)
Epoch: [78][310/5005] Time 0.220 (0.214) Data 0.042 (0.050) Loss 2.1372 (2.2778) Prec@1 51.172 (47.875) Prec@5 76.562 (73.105)
Epoch: [78][320/5005] Time 0.223 (0.214) Data 0.044 (0.050) Loss 2.4554 (2.2793) Prec@1 40.234 (47.858) Prec@5 72.266 (73.116)
Epoch: [78][330/5005] Time 0.213 (0.214) Data 0.054 (0.050) Loss 1.9198 (2.2778) Prec@1 54.688 (47.889) Prec@5 80.859 (73.126)
Epoch: [78][340/5005] Time 0.222 (0.214) Data 0.059 (0.050) Loss 2.3694 (2.2803) Prec@1 45.312 (47.849) Prec@5 72.656 (73.086)
Epoch: [78][350/5005] Time 0.217 (0.214) Data 0.050 (0.050) Loss 2.4672 (2.2803) Prec@1 41.797 (47.808) Prec@5 67.578 (73.081)
Epoch: [78][360/5005] Time 0.213 (0.214) Data 0.042 (0.050) Loss 2.3694 (2.2806) Prec@1 48.828 (47.808) Prec@5 71.094 (73.073)
Epoch: [78][370/5005] Time 0.217 (0.214) Data 0.054 (0.050) Loss 2.2888 (2.2793) Prec@1 46.484 (47.817) Prec@5 71.875 (73.069)
Epoch: [78][380/5005] Time 0.201 (0.214) Data 0.046 (0.050) Loss 2.3158 (2.2798) Prec@1 48.438 (47.790) Prec@5 71.484 (73.048)
Epoch: [78][390/5005] Time 0.214 (0.214) Data 0.049 (0.050) Loss 2.2436 (2.2795) Prec@1 50.781 (47.797) Prec@5 76.172 (73.043)
Epoch: [78][400/5005] Time 0.210 (0.214) Data 0.045 (0.050) Loss 2.0666 (2.2789) Prec@1 51.953 (47.818) Prec@5 77.344 (73.048)
Epoch: [78][410/5005] Time 0.219 (0.214) Data 0.069 (0.050) Loss 2.0587 (2.2785) Prec@1 51.172 (47.822) Prec@5 76.172 (73.071)
Epoch: [78][420/5005] Time 0.222 (0.214) Data 0.043 (0.050) Loss 2.1090 (2.2778) Prec@1 50.000 (47.831) Prec@5 75.000 (73.097)
Epoch: [78][430/5005] Time 0.209 (0.214) Data 0.044 (0.050) Loss 2.2219 (2.2771) Prec@1 50.781 (47.847) Prec@5 75.391 (73.093)
Epoch: [78][440/5005] Time 0.212 (0.214) Data 0.043 (0.050) Loss 2.1304 (2.2765) Prec@1 52.734 (47.831) Prec@5 75.781 (73.102)
Epoch: [78][450/5005] Time 0.208 (0.214) Data 0.040 (0.050) Loss 2.0484 (2.2764) Prec@1 46.484 (47.819) Prec@5 77.734 (73.113)
Epoch: [78][460/5005] Time 0.215 (0.214) Data 0.041 (0.050) Loss 2.3315 (2.2771) Prec@1 44.531 (47.771) Prec@5 72.656 (73.106)
Epoch: [78][470/5005] Time 0.212 (0.214) Data 0.042 (0.050) Loss 2.1856 (2.2780) Prec@1 48.828 (47.760) Prec@5 75.000 (73.098)
Epoch: [78][480/5005] Time 0.212 (0.214) Data 0.043 (0.049) Loss 2.2265 (2.2783) Prec@1 48.438 (47.743) Prec@5 73.438 (73.094)
Epoch: [78][490/5005] Time 0.216 (0.214) Data 0.043 (0.049) Loss 2.3366 (2.2788) Prec@1 50.000 (47.745) Prec@5 73.828 (73.076)
Epoch: [78][500/5005] Time 0.217 (0.214) Data 0.043 (0.049) Loss 2.3943 (2.2813) Prec@1 45.312 (47.737) Prec@5 66.016 (73.028)
Epoch: [78][510/5005] Time 0.214 (0.214) Data 0.044 (0.049) Loss 2.5358 (2.2816) Prec@1 42.188 (47.733) Prec@5 66.797 (73.021)
Epoch: [78][520/5005] Time 0.215 (0.214) Data 0.043 (0.049) Loss 2.3129 (2.2808) Prec@1 45.312 (47.713) Prec@5 70.703 (73.032)
Epoch: [78][530/5005] Time 0.215 (0.214) Data 0.044 (0.049) Loss 2.1986 (2.2805) Prec@1 52.344 (47.719) Prec@5 73.828 (73.031)
Epoch: [78][540/5005] Time 0.216 (0.214) Data 0.044 (0.049) Loss 2.4002 (2.2817) Prec@1 44.141 (47.703) Prec@5 73.828 (73.027)
Epoch: [78][550/5005] Time 0.217 (0.214) Data 0.044 (0.049) Loss 2.1732 (2.2808) Prec@1 46.484 (47.703) Prec@5 78.906 (73.042)
Epoch: [78][560/5005] Time 0.218 (0.214) Data 0.043 (0.049) Loss 2.3738 (2.2810) Prec@1 48.438 (47.720) Prec@5 70.703 (73.044)
Epoch: [78][570/5005] Time 0.216 (0.214) Data 0.044 (0.048) Loss 2.3986 (2.2818) Prec@1 48.047 (47.699) Prec@5 70.312 (73.017)
Epoch: [78][580/5005] Time 0.208 (0.214) Data 0.044 (0.048) Loss 2.3049 (2.2815) Prec@1 50.000 (47.705) Prec@5 71.875 (73.029)
Epoch: [78][590/5005] Time 0.214 (0.214) Data 0.044 (0.048) Loss 2.3748 (2.2816) Prec@1 44.922 (47.685) Prec@5 71.875 (73.017)
Epoch: [78][600/5005] Time 0.208 (0.214) Data 0.044 (0.048) Loss 2.1624 (2.2826) Prec@1 48.828 (47.678) Prec@5 77.344 (73.020)
Epoch: [78][610/5005] Time 0.217 (0.214) Data 0.044 (0.048) Loss 2.1119 (2.2823) Prec@1 50.781 (47.676) Prec@5 75.391 (73.035)
Epoch: [78][620/5005] Time 0.217 (0.214) Data 0.045 (0.048) Loss 2.2949 (2.2814) Prec@1 46.875 (47.703) Prec@5 73.828 (73.041)
Epoch: [78][630/5005] Time 0.216 (0.215) Data 0.043 (0.048) Loss 2.6446 (2.2815) Prec@1 40.234 (47.717) Prec@5 69.531 (73.047)
Epoch: [78][640/5005] Time 0.215 (0.215) Data 0.057 (0.048) Loss 2.2025 (2.2812) Prec@1 46.875 (47.711) Prec@5 76.562 (73.062)
Epoch: [78][650/5005] Time 0.208 (0.214) Data 0.062 (0.048) Loss 2.4701 (2.2824) Prec@1 42.188 (47.677) Prec@5 70.312 (73.044)
Epoch: [78][660/5005] Time 0.211 (0.214) Data 0.046 (0.048) Loss 2.3297 (2.2816) Prec@1 46.875 (47.705) Prec@5 73.438 (73.068)
Epoch: [78][670/5005] Time 0.219 (0.214) Data 0.043 (0.048) Loss 2.5984 (2.2819) Prec@1 44.531 (47.705) Prec@5 67.969 (73.060)
Epoch: [78][680/5005] Time 0.205 (0.214) Data 0.047 (0.048) Loss 2.2911 (2.2815) Prec@1 47.656 (47.723) Prec@5 76.953 (73.067)
Epoch: [78][690/5005] Time 0.217 (0.214) Data 0.042 (0.048) Loss 2.0806 (2.2810) Prec@1 50.000 (47.729) Prec@5 77.344 (73.072)
Epoch: [78][700/5005] Time 0.207 (0.214) Data 0.057 (0.048) Loss 2.2815 (2.2809) Prec@1 47.266 (47.735) Prec@5 75.781 (73.073)
Epoch: [78][710/5005] Time 0.216 (0.214) Data 0.047 (0.048) Loss 2.0567 (2.2810) Prec@1 51.562 (47.737) Prec@5 77.344 (73.074)
Epoch: [78][720/5005] Time 0.212 (0.214) Data 0.047 (0.048) Loss 2.2039 (2.2805) Prec@1 50.000 (47.756) Prec@5 76.953 (73.077)
Epoch: [78][730/5005] Time 0.214 (0.214) Data 0.044 (0.048) Loss 2.3367 (2.2800) Prec@1 48.438 (47.776) Prec@5 74.609 (73.087)
Epoch: [78][740/5005] Time 0.220 (0.214) Data 0.043 (0.048) Loss 2.4264 (2.2800) Prec@1 44.922 (47.781) Prec@5 69.922 (73.070)
Epoch: [78][750/5005] Time 0.213 (0.214) Data 0.043 (0.048) Loss 2.1006 (2.2795) Prec@1 49.219 (47.786) Prec@5 76.172 (73.079)
Epoch: [78][760/5005] Time 0.216 (0.214) Data 0.047 (0.048) Loss 2.3485 (2.2796) Prec@1 47.266 (47.781) Prec@5 73.828 (73.078)
Epoch: [78][770/5005] Time 0.217 (0.214) Data 0.047 (0.048) Loss 2.2942 (2.2781) Prec@1 43.750 (47.807) Prec@5 73.047 (73.105)
Epoch: [78][780/5005] Time 0.215 (0.214) Data 0.043 (0.048) Loss 2.3663 (2.2777) Prec@1 45.312 (47.821) Prec@5 67.969 (73.104)
Epoch: [78][790/5005] Time 0.215 (0.214) Data 0.045 (0.048) Loss 2.2681 (2.2771) Prec@1 48.047 (47.836) Prec@5 73.828 (73.114)
Epoch: [78][800/5005] Time 0.216 (0.214) Data 0.047 (0.048) Loss 2.1349 (2.2767) Prec@1 54.688 (47.850) Prec@5 75.000 (73.118)
Epoch: [78][810/5005] Time 0.209 (0.214) Data 0.042 (0.048) Loss 2.4039 (2.2770) Prec@1 45.703 (47.857) Prec@5 69.922 (73.111)
Epoch: [78][820/5005] Time 0.225 (0.214) Data 0.042 (0.048) Loss 2.3326 (2.2775) Prec@1 45.312 (47.858) Prec@5 71.875 (73.109)
Epoch: [78][830/5005] Time 0.212 (0.214) Data 0.052 (0.048) Loss 2.2548 (2.2777) Prec@1 48.438 (47.863) Prec@5 71.484 (73.102)
Epoch: [78][840/5005] Time 0.214 (0.214) Data 0.047 (0.048) Loss 2.1211 (2.2777) Prec@1 54.688 (47.875) Prec@5 73.828 (73.112)
Epoch: [78][850/5005] Time 0.195 (0.214) Data 0.054 (0.048) Loss 2.4550 (2.2773) Prec@1 44.141 (47.884) Prec@5 71.875 (73.123)
Epoch: [78][860/5005] Time 0.209 (0.214) Data 0.046 (0.048) Loss 2.2845 (2.2772) Prec@1 47.656 (47.889) Prec@5 71.094 (73.110)
Epoch: [78][870/5005] Time 0.204 (0.214) Data 0.044 (0.048) Loss 2.3580 (2.2764) Prec@1 44.141 (47.898) Prec@5 66.406 (73.111)
Epoch: [78][880/5005] Time 0.210 (0.214) Data 0.043 (0.048) Loss 2.2983 (2.2771) Prec@1 45.703 (47.891) Prec@5 71.875 (73.092)
Epoch: [78][890/5005] Time 0.217 (0.214) Data 0.043 (0.048) Loss 2.6661 (2.2770) Prec@1 40.625 (47.882) Prec@5 66.797 (73.091)
Epoch: [78][900/5005] Time 0.223 (0.214) Data 0.043 (0.048) Loss 2.1293 (2.2766) Prec@1 49.219 (47.886) Prec@5 73.828 (73.088)
Epoch: [78][910/5005] Time 0.207 (0.214) Data 0.049 (0.048) Loss 2.1128 (2.2763) Prec@1 47.656 (47.878) Prec@5 75.000 (73.084)
Epoch: [78][920/5005] Time 0.202 (0.214) Data 0.045 (0.048) Loss 2.3710 (2.2757) Prec@1 44.922 (47.896) Prec@5 71.484 (73.095)
Epoch: [78][930/5005] Time 0.210 (0.214) Data 0.052 (0.048) Loss 2.3602 (2.2752) Prec@1 48.438 (47.908) Prec@5 72.656 (73.105)
Epoch: [78][940/5005] Time 0.218 (0.214) Data 0.067 (0.048) Loss 2.1658 (2.2756) Prec@1 50.000 (47.907) Prec@5 75.391 (73.102)
Epoch: [78][950/5005] Time 0.209 (0.214) Data 0.054 (0.048) Loss 2.4177 (2.2764) Prec@1 49.219 (47.899) Prec@5 70.703 (73.095)
Epoch: [78][960/5005] Time 0.212 (0.214) Data 0.046 (0.048) Loss 2.4132 (2.2763) Prec@1 48.047 (47.903) Prec@5 67.188 (73.101)
Epoch: [78][970/5005] Time 0.211 (0.214) Data 0.046 (0.048) Loss 2.1587 (2.2764) Prec@1 50.391 (47.910) Prec@5 73.828 (73.095)
Epoch: [78][980/5005] Time 0.216 (0.214) Data 0.049 (0.048) Loss 2.1150 (2.2756) Prec@1 51.562 (47.921) Prec@5 73.047 (73.101)
Epoch: [78][990/5005] Time 0.207 (0.214) Data 0.066 (0.048) Loss 2.3398 (2.2758) Prec@1 42.578 (47.902) Prec@5 73.438 (73.101)
Epoch: [78][1000/5005] Time 0.220 (0.214) Data 0.045 (0.048) Loss 2.2403 (2.2757) Prec@1 48.438 (47.904) Prec@5 76.562 (73.091)
Epoch: [78][1010/5005] Time 0.214 (0.214) Data 0.046 (0.048) Loss 2.3469 (2.2756) Prec@1 45.703 (47.902) Prec@5 72.266 (73.097)
Epoch: [78][1020/5005] Time 0.205 (0.214) Data 0.049 (0.048) Loss 2.1779 (2.2760) Prec@1 47.266 (47.894) Prec@5 74.219 (73.079)
Epoch: [78][1030/5005] Time 0.206 (0.214) Data 0.061 (0.048) Loss 2.0885 (2.2752) Prec@1 48.828 (47.907) Prec@5 75.391 (73.096)
Epoch: [78][1040/5005] Time 0.198 (0.214) Data 0.056 (0.048) Loss 2.4281 (2.2751) Prec@1 42.578 (47.902) Prec@5 71.484 (73.093)
Epoch: [78][1050/5005] Time 0.213 (0.214) Data 0.047 (0.048) Loss 2.3557 (2.2751) Prec@1 48.828 (47.902) Prec@5 72.266 (73.092)
Epoch: [78][1060/5005] Time 0.210 (0.213) Data 0.047 (0.048) Loss 2.5063 (2.2755) Prec@1 46.875 (47.907) Prec@5 71.875 (73.092)
Epoch: [78][1070/5005] Time 0.210 (0.213) Data 0.043 (0.048) Loss 2.3128 (2.2757) Prec@1 48.438 (47.903) Prec@5 74.609 (73.087)
Epoch: [78][1080/5005] Time 0.210 (0.213) Data 0.048 (0.048) Loss 2.3649 (2.2756) Prec@1 44.531 (47.915) Prec@5 72.266 (73.085)
Epoch: [78][1090/5005] Time 0.207 (0.213) Data 0.047 (0.048) Loss 2.0801 (2.2751) Prec@1 51.953 (47.927) Prec@5 76.953 (73.089)
Epoch: [78][1100/5005] Time 0.215 (0.213) Data 0.046 (0.048) Loss 2.2684 (2.2746) Prec@1 50.391 (47.941) Prec@5 72.656 (73.100)
Epoch: [78][1110/5005] Time 0.195 (0.213) Data 0.050 (0.048) Loss 2.3164 (2.2747) Prec@1 41.797 (47.936) Prec@5 73.047 (73.098)
Epoch: [78][1120/5005] Time 0.212 (0.213) Data 0.045 (0.048) Loss 2.1720 (2.2740) Prec@1 49.219 (47.945) Prec@5 74.219 (73.112)
Epoch: [78][1130/5005] Time 0.208 (0.213) Data 0.044 (0.048) Loss 2.2677 (2.2742) Prec@1 51.172 (47.945) Prec@5 75.391 (73.110)
Epoch: [78][1140/5005] Time 0.215 (0.213) Data 0.043 (0.048) Loss 2.3834 (2.2739) Prec@1 41.797 (47.945) Prec@5 73.828 (73.114)
Epoch: [78][1150/5005] Time 0.202 (0.213) Data 0.044 (0.048) Loss 2.1669 (2.2734) Prec@1 49.219 (47.958) Prec@5 72.266 (73.126)
Epoch: [78][1160/5005] Time 0.215 (0.213) Data 0.044 (0.048) Loss 2.2756 (2.2734) Prec@1 48.828 (47.964) Prec@5 71.484 (73.127)
Epoch: [78][1170/5005] Time 0.208 (0.213) Data 0.046 (0.048) Loss 2.2270 (2.2734) Prec@1 50.391 (47.958) Prec@5 70.703 (73.128)
Epoch: [78][1180/5005] Time 0.215 (0.213) Data 0.044 (0.048) Loss 2.3659 (2.2738) Prec@1 46.484 (47.953) Prec@5 67.578 (73.116)
Epoch: [78][1190/5005] Time 0.220 (0.213) Data 0.042 (0.048) Loss 2.1392 (2.2735) Prec@1 50.000 (47.962) Prec@5 74.609 (73.120)
Epoch: [78][1200/5005] Time 0.212 (0.213) Data 0.042 (0.048) Loss 2.4429 (2.2736) Prec@1 46.484 (47.960) Prec@5 70.703 (73.119)
Epoch: [78][1210/5005] Time 0.210 (0.213) Data 0.053 (0.048) Loss 2.3898 (2.2745) Prec@1 46.875 (47.946) Prec@5 69.531 (73.103)
Epoch: [78][1220/5005] Time 0.209 (0.213) Data 0.047 (0.048) Loss 2.1615 (2.2747) Prec@1 50.000 (47.940) Prec@5 76.172 (73.106)
Epoch: [78][1230/5005] Time 0.210 (0.213) Data 0.047 (0.048) Loss 2.2096 (2.2744) Prec@1 48.828 (47.942) Prec@5 73.828 (73.119)
Epoch: [78][1240/5005] Time 0.212 (0.213) Data 0.042 (0.048) Loss 2.3274 (2.2741) Prec@1 46.484 (47.948) Prec@5 71.484 (73.119)
Epoch: [78][1250/5005] Time 0.202 (0.213) Data 0.044 (0.048) Loss 2.4244 (2.2743) Prec@1 45.312 (47.942) Prec@5 69.141 (73.109)
Epoch: [78][1260/5005] Time 0.205 (0.213) Data 0.046 (0.048) Loss 2.0838 (2.2737) Prec@1 50.781 (47.951) Prec@5 78.125 (73.126)
Epoch: [78][1270/5005] Time 0.205 (0.213) Data 0.064 (0.048) Loss 2.4251 (2.2742) Prec@1 45.703 (47.943) Prec@5 69.531 (73.119)
Epoch: [78][1280/5005] Time 0.209 (0.213) Data 0.047 (0.048) Loss 2.0096 (2.2745) Prec@1 55.078 (47.943) Prec@5 75.391 (73.117)
Epoch: [78][1290/5005] Time 0.210 (0.213) Data 0.051 (0.048) Loss 2.0589 (2.2740) Prec@1 53.516 (47.952) Prec@5 77.344 (73.124)
Epoch: [78][1300/5005] Time 0.214 (0.213) Data 0.044 (0.048) Loss 2.2553 (2.2738) Prec@1 47.266 (47.959) Prec@5 73.047 (73.125)
Epoch: [78][1310/5005] Time 0.213 (0.213) Data 0.043 (0.048) Loss 2.2020 (2.2736) Prec@1 46.875 (47.958) Prec@5 76.172 (73.134)
Epoch: [78][1320/5005] Time 0.209 (0.213) Data 0.058 (0.048) Loss 2.2284 (2.2733) Prec@1 51.172 (47.974) Prec@5 75.391 (73.138)
Epoch: [78][1330/5005] Time 0.211 (0.213) Data 0.066 (0.048) Loss 2.2571 (2.2732) Prec@1 49.219 (47.970) Prec@5 73.828 (73.142)
Epoch: [78][1340/5005] Time 0.208 (0.213) Data 0.043 (0.048) Loss 2.3201 (2.2729) Prec@1 47.266 (47.971) Prec@5 73.828 (73.147)
Epoch: [78][1350/5005] Time 0.212 (0.213) Data 0.058 (0.048) Loss 2.7379 (2.2733) Prec@1 42.578 (47.956) Prec@5 69.141 (73.147)
Epoch: [78][1360/5005] Time 0.196 (0.213) Data 0.041 (0.048) Loss 2.1639 (2.2732) Prec@1 49.609 (47.956) Prec@5 75.391 (73.145)
Epoch: [78][1370/5005] Time 0.210 (0.213) Data 0.047 (0.048) Loss 2.3721 (2.2731) Prec@1 46.875 (47.955) Prec@5 72.656 (73.149)
Epoch: [78][1380/5005] Time 0.215 (0.213) Data 0.048 (0.048) Loss 2.4770 (2.2731) Prec@1 47.266 (47.961) Prec@5 69.531 (73.144)
Epoch: [78][1390/5005] Time 0.206 (0.213) Data 0.052 (0.048) Loss 2.2513 (2.2731) Prec@1 48.047 (47.962) Prec@5 72.266 (73.151)
Epoch: [78][1400/5005] Time 0.206 (0.213) Data 0.042 (0.048) Loss 2.2419 (2.2725) Prec@1 45.703 (47.962) Prec@5 75.781 (73.159)
Epoch: [78][1410/5005] Time 0.202 (0.213) Data 0.064 (0.048) Loss 2.2665 (2.2725) Prec@1 50.000 (47.965) Prec@5 73.828 (73.165)
Epoch: [78][1420/5005] Time 0.212 (0.213) Data 0.066 (0.048) Loss 2.5569 (2.2726) Prec@1 41.797 (47.956) Prec@5 68.359 (73.158)
Epoch: [78][1430/5005] Time 0.213 (0.213) Data 0.042 (0.048) Loss 2.0216 (2.2724) Prec@1 49.609 (47.962) Prec@5 75.000 (73.160)
Epoch: [78][1440/5005] Time 0.207 (0.213) Data 0.042 (0.048) Loss 2.0403 (2.2721) Prec@1 51.562 (47.962) Prec@5 78.516 (73.163)
Epoch: [78][1450/5005] Time 0.204 (0.213) Data 0.043 (0.048) Loss 2.4036 (2.2721) Prec@1 43.359 (47.962) Prec@5 73.047 (73.163)
Epoch: [78][1460/5005] Time 0.201 (0.213) Data 0.063 (0.048) Loss 2.3285 (2.2719) Prec@1 45.312 (47.966) Prec@5 71.094 (73.164)
Epoch: [78][1470/5005] Time 0.209 (0.213) Data 0.051 (0.048) Loss 2.4157 (2.2722) Prec@1 43.359 (47.960) Prec@5 74.219 (73.164)
Epoch: [78][1480/5005] Time 0.215 (0.213) Data 0.046 (0.048) Loss 2.0417 (2.2723) Prec@1 53.516 (47.957) Prec@5 75.781 (73.164)
Epoch: [78][1490/5005] Time 0.206 (0.212) Data 0.042 (0.048) Loss 2.5574 (2.2722) Prec@1 44.141 (47.961) Prec@5 69.531 (73.170)
Epoch: [78][1500/5005] Time 0.209 (0.212) Data 0.045 (0.048) Loss 2.3089 (2.2718) Prec@1 46.094 (47.966) Prec@5 72.266 (73.181)
Epoch: [78][1510/5005] Time 0.215 (0.212) Data 0.046 (0.048) Loss 2.1444 (2.2716) Prec@1 50.781 (47.972) Prec@5 74.219 (73.181)
Epoch: [78][1520/5005] Time 0.215 (0.212) Data 0.043 (0.048) Loss 2.3052 (2.2711) Prec@1 44.922 (47.977) Prec@5 72.266 (73.189)
Epoch: [78][1530/5005] Time 0.214 (0.212) Data 0.044 (0.048) Loss 2.4491 (2.2713) Prec@1 42.969 (47.966) Prec@5 69.922 (73.186)
Epoch: [78][1540/5005] Time 0.211 (0.212) Data 0.044 (0.048) Loss 2.2675 (2.2717) Prec@1 47.656 (47.960) Prec@5 70.312 (73.178)
Epoch: [78][1550/5005] Time 0.213 (0.212) Data 0.044 (0.048) Loss 2.1556 (2.2713) Prec@1 47.656 (47.964) Prec@5 78.516 (73.187)
Epoch: [78][1560/5005] Time 0.201 (0.212) Data 0.044 (0.048) Loss 2.1813 (2.2714) Prec@1 47.656 (47.963) Prec@5 73.828 (73.185)
Epoch: [78][1570/5005] Time 0.213 (0.212) Data 0.044 (0.048) Loss 2.0648 (2.2711) Prec@1 54.297 (47.972) Prec@5 73.438 (73.185)
Epoch: [78][1580/5005] Time 0.212 (0.212) Data 0.041 (0.048) Loss 1.9850 (2.2711) Prec@1 54.688 (47.968) Prec@5 76.953 (73.189)
Epoch: [78][1590/5005] Time 0.204 (0.212) Data 0.050 (0.048) Loss 2.1828 (2.2711) Prec@1 52.344 (47.969) Prec@5 73.438 (73.191)
Epoch: [78][1600/5005] Time 0.210 (0.212) Data 0.046 (0.048) Loss 2.3183 (2.2710) Prec@1 48.828 (47.974) Prec@5 71.094 (73.191)
Epoch: [78][1610/5005] Time 0.198 (0.212) Data 0.053 (0.048) Loss 2.3435 (2.2709) Prec@1 44.531 (47.975) Prec@5 73.047 (73.193)
Epoch: [78][1620/5005] Time 0.202 (0.212) Data 0.060 (0.048) Loss 2.2339 (2.2706) Prec@1 48.828 (47.976) Prec@5 74.219 (73.206)
Epoch: [78][1630/5005] Time 0.206 (0.212) Data 0.064 (0.048) Loss 2.1377 (2.2706) Prec@1 49.609 (47.975) Prec@5 76.953 (73.203)
Epoch: [78][1640/5005] Time 0.210 (0.212) Data 0.046 (0.048) Loss 2.4359 (2.2710) Prec@1 47.266 (47.974) Prec@5 72.266 (73.198)
Epoch: [78][1650/5005] Time 0.215 (0.212) Data 0.047 (0.048) Loss 2.3017 (2.2708) Prec@1 44.922 (47.972) Prec@5 71.484 (73.201)
Epoch: [78][1660/5005] Time 0.211 (0.212) Data 0.047 (0.048) Loss 2.2136 (2.2703) Prec@1 49.219 (47.991) Prec@5 71.094 (73.204)
Epoch: [78][1670/5005] Time 0.213 (0.212) Data 0.043 (0.048) Loss 2.1256 (2.2703) Prec@1 50.000 (47.991) Prec@5 75.391 (73.204)
Epoch: [78][1680/5005] Time 0.206 (0.212) Data 0.053 (0.048) Loss 2.4501 (2.2707) Prec@1 47.656 (47.989) Prec@5 69.922 (73.196)
Epoch: [78][1690/5005] Time 0.201 (0.212) Data 0.041 (0.048) Loss 2.0130 (2.2702) Prec@1 51.562 (47.996) Prec@5 78.906 (73.204)
Epoch: [78][1700/5005] Time 0.200 (0.212) Data 0.048 (0.048) Loss 2.2555 (2.2697) Prec@1 48.438 (48.003) Prec@5 75.391 (73.217)
Epoch: [78][1710/5005] Time 0.204 (0.212) Data 0.054 (0.048) Loss 2.1308 (2.2693) Prec@1 48.438 (48.006) Prec@5 76.172 (73.225)
Epoch: [78][1720/5005] Time 0.199 (0.212) Data 0.047 (0.048) Loss 2.4170 (2.2694) Prec@1 46.484 (48.004) Prec@5 70.703 (73.228)
Epoch: [78][1730/5005] Time 0.204 (0.212) Data 0.058 (0.048) Loss 2.2719 (2.2692) Prec@1 45.703 (48.004) Prec@5 73.828 (73.236)
Epoch: [78][1740/5005] Time 0.208 (0.212) Data 0.043 (0.048) Loss 2.4094 (2.2691) Prec@1 46.484 (48.005) Prec@5 71.484 (73.235)
Epoch: [78][1750/5005] Time 0.210 (0.212) Data 0.045 (0.048) Loss 2.2334 (2.2690) Prec@1 48.828 (48.010) Prec@5 72.656 (73.238)
Epoch: [78][1760/5005] Time 0.213 (0.212) Data 0.043 (0.048) Loss 2.0849 (2.2689) Prec@1 51.562 (48.014) Prec@5 76.953 (73.246)
Epoch: [78][1770/5005] Time 0.211 (0.212) Data 0.044 (0.048) Loss 2.2748 (2.2687) Prec@1 49.219 (48.014) Prec@5 73.828 (73.250)
Epoch: [78][1780/5005] Time 0.210 (0.212) Data 0.042 (0.048) Loss 2.0711 (2.2686) Prec@1 53.906 (48.018) Prec@5 73.047 (73.252)
Epoch: [78][1790/5005] Time 0.206 (0.212) Data 0.058 (0.048) Loss 2.3169 (2.2683) Prec@1 50.000 (48.025) Prec@5 69.531 (73.258)
Epoch: [78][1800/5005] Time 0.209 (0.212) Data 0.043 (0.048) Loss 2.2513 (2.2680) Prec@1 50.000 (48.029) Prec@5 74.219 (73.260)
Epoch: [78][1810/5005] Time 0.205 (0.212) Data 0.058 (0.048) Loss 2.1664 (2.2676) Prec@1 48.828 (48.030) Prec@5 75.391 (73.267)
Epoch: [78][1820/5005] Time 0.214 (0.212) Data 0.041 (0.048) Loss 2.2292 (2.2677) Prec@1 47.266 (48.024) Prec@5 77.734 (73.269)
Epoch: [78][1830/5005] Time 0.206 (0.212) Data 0.046 (0.048) Loss 2.1393 (2.2674) Prec@1 53.516 (48.027) Prec@5 77.734 (73.275)
Epoch: [78][1840/5005] Time 0.217 (0.212) Data 0.045 (0.048) Loss 2.3925 (2.2672) Prec@1 44.531 (48.035) Prec@5 72.266 (73.282)
Epoch: [78][1850/5005] Time 0.196 (0.212) Data 0.043 (0.048) Loss 2.2735 (2.2667) Prec@1 47.266 (48.042) Prec@5 71.875 (73.285)
Epoch: [78][1860/5005] Time 0.210 (0.212) Data 0.059 (0.048) Loss 2.2690 (2.2670) Prec@1 47.266 (48.037) Prec@5 73.828 (73.281)
Epoch: [78][1870/5005] Time 0.220 (0.212) Data 0.044 (0.048) Loss 2.5453 (2.2674) Prec@1 39.062 (48.027) Prec@5 68.359 (73.274)
Epoch: [78][1880/5005] Time 0.212 (0.212) Data 0.050 (0.048) Loss 2.2778 (2.2674) Prec@1 51.562 (48.032) Prec@5 73.047 (73.279)
Epoch: [78][1890/5005] Time 0.210 (0.212) Data 0.058 (0.048) Loss 2.2823 (2.2672) Prec@1 50.000 (48.041) Prec@5 73.047 (73.282)
Epoch: [78][1900/5005] Time 0.213 (0.212) Data 0.041 (0.048) Loss 2.1409 (2.2676) Prec@1 50.000 (48.031) Prec@5 76.562 (73.276)
Epoch: [78][1910/5005] Time 0.208 (0.212) Data 0.043 (0.048) Loss 2.2096 (2.2677) Prec@1 49.609 (48.030) Prec@5 74.609 (73.269)
Epoch: [78][1920/5005] Time 0.205 (0.212) Data 0.045 (0.048) Loss 2.1581 (2.2675) Prec@1 53.125 (48.031) Prec@5 74.219 (73.280)
Epoch: [78][1930/5005] Time 0.208 (0.212) Data 0.045 (0.048) Loss 2.0953 (2.2672) Prec@1 53.516 (48.041) Prec@5 74.609 (73.282)
Epoch: [78][1940/5005] Time 0.209 (0.212) Data 0.049 (0.048) Loss 2.0833 (2.2671) Prec@1 48.438 (48.036) Prec@5 76.562 (73.282)
Epoch: [78][1950/5005] Time 0.211 (0.212) Data 0.055 (0.048) Loss 2.4521 (2.2670) Prec@1 44.531 (48.041) Prec@5 72.266 (73.288)
Epoch: [78][1960/5005] Time 0.197 (0.212) Data 0.068 (0.048) Loss 2.2105 (2.2668) Prec@1 49.609 (48.048) Prec@5 75.391 (73.294)
Epoch: [78][1970/5005] Time 0.201 (0.212) Data 0.048 (0.048) Loss 2.2854 (2.2669) Prec@1 46.094 (48.046) Prec@5 74.219 (73.294)
Epoch: [78][1980/5005] Time 0.207 (0.212) Data 0.043 (0.048) Loss 2.2008 (2.2668) Prec@1 50.000 (48.047) Prec@5 74.609 (73.299)
Epoch: [78][1990/5005] Time 0.203 (0.212) Data 0.052 (0.048) Loss 2.0576 (2.2664) Prec@1 53.906 (48.050) Prec@5 77.344 (73.299)
Epoch: [78][2000/5005] Time 0.217 (0.212) Data 0.045 (0.048) Loss 2.1933 (2.2667) Prec@1 48.047 (48.050) Prec@5 75.391 (73.295)
Epoch: [78][2010/5005] Time 0.210 (0.211) Data 0.044 (0.048) Loss 2.1604 (2.2667) Prec@1 51.172 (48.048) Prec@5 73.828 (73.295)
Epoch: [78][2020/5005] Time 0.202 (0.211) Data 0.043 (0.048) Loss 2.3372 (2.2670) Prec@1 44.922 (48.041) Prec@5 71.875 (73.291)
Epoch: [78][2030/5005] Time 0.205 (0.212) Data 0.042 (0.048) Loss 2.2476 (2.2672) Prec@1 50.391 (48.044) Prec@5 76.562 (73.290)
Epoch: [78][2040/5005] Time 0.209 (0.212) Data 0.044 (0.048) Loss 2.0629 (2.2670) Prec@1 51.953 (48.049) Prec@5 76.172 (73.300)
Epoch: [78][2050/5005] Time 0.207 (0.211) Data 0.051 (0.048) Loss 2.3574 (2.2668) Prec@1 46.484 (48.053) Prec@5 75.781 (73.306)
Epoch: [78][2060/5005] Time 0.211 (0.211) Data 0.045 (0.048) Loss 2.2940 (2.2668) Prec@1 45.312 (48.043) Prec@5 73.828 (73.306)
Epoch: [78][2070/5005] Time 0.214 (0.211) Data 0.054 (0.048) Loss 2.3389 (2.2670) Prec@1 46.875 (48.042) Prec@5 73.828 (73.302)
Epoch: [78][2080/5005] Time 0.206 (0.211) Data 0.047 (0.048) Loss 2.2461 (2.2670) Prec@1 48.047 (48.039) Prec@5 74.219 (73.305)
Epoch: [78][2090/5005] Time 0.200 (0.211) Data 0.056 (0.048) Loss 2.1817 (2.2664) Prec@1 47.266 (48.044) Prec@5 77.344 (73.314)
Epoch: [78][2100/5005] Time 0.211 (0.211) Data 0.055 (0.048) Loss 2.3842 (2.2662) Prec@1 45.703 (48.047) Prec@5 69.922 (73.313)
Epoch: [78][2110/5005] Time 0.214 (0.211) Data 0.044 (0.048) Loss 2.1718 (2.2663) Prec@1 49.609 (48.047) Prec@5 76.172 (73.315)
Epoch: [78][2120/5005] Time 0.216 (0.211) Data 0.042 (0.048) Loss 2.3972 (2.2662) Prec@1 46.094 (48.052) Prec@5 69.141 (73.316)
Epoch: [78][2130/5005] Time 0.212 (0.211) Data 0.045 (0.048) Loss 2.2947 (2.2657) Prec@1 50.000 (48.060) Prec@5 72.266 (73.326)
Epoch: [78][2140/5005] Time 0.203 (0.211) Data 0.044 (0.048) Loss 2.1575 (2.2658) Prec@1 48.047 (48.059) Prec@5 72.266 (73.323)
Epoch: [78][2150/5005] Time 0.211 (0.211) Data 0.043 (0.048) Loss 2.1871 (2.2658) Prec@1 50.781 (48.055) Prec@5 72.656 (73.322)
Epoch: [78][2160/5005] Time 0.209 (0.211) Data 0.042 (0.048) Loss 2.3096 (2.2657) Prec@1 47.266 (48.053) Prec@5 74.609 (73.326)
Epoch: [78][2170/5005] Time 0.213 (0.211) Data 0.043 (0.048) Loss 2.0775 (2.2654) Prec@1 50.781 (48.058) Prec@5 78.125 (73.332)
Epoch: [78][2180/5005] Time 0.195 (0.211) Data 0.062 (0.048) Loss 2.2154 (2.2652) Prec@1 50.000 (48.063) Prec@5 73.438 (73.333)
Epoch: [78][2190/5005] Time 0.211 (0.211) Data 0.048 (0.048) Loss 2.5221 (2.2654) Prec@1 44.531 (48.058) Prec@5 68.359 (73.335)
Epoch: [78][2200/5005] Time 0.209 (0.211) Data 0.050 (0.048) Loss 2.3072 (2.2655) Prec@1 44.141 (48.050) Prec@5 71.484 (73.335)
Epoch: [78][2210/5005] Time 0.210 (0.211) Data 0.048 (0.048) Loss 2.3947 (2.2658) Prec@1 44.922 (48.048) Prec@5 69.141 (73.332)
Epoch: [78][2220/5005] Time 0.206 (0.211) Data 0.057 (0.048) Loss 2.3542 (2.2655) Prec@1 47.656 (48.054) Prec@5 71.094 (73.334)
Epoch: [78][2230/5005] Time 0.211 (0.211) Data 0.042 (0.048) Loss 2.2284 (2.2656) Prec@1 47.266 (48.051) Prec@5 75.000 (73.332)
Epoch: [78][2240/5005] Time 0.208 (0.211) Data 0.043 (0.048) Loss 2.2512 (2.2657) Prec@1 48.047 (48.046) Prec@5 74.219 (73.331)
Epoch: [78][2250/5005] Time 0.212 (0.211) Data 0.044 (0.048) Loss 2.1390 (2.2659) Prec@1 48.047 (48.045) Prec@5 75.391 (73.328)
Epoch: [78][2260/5005] Time 0.205 (0.211) Data 0.047 (0.048) Loss 2.1566 (2.2658) Prec@1 48.438 (48.045) Prec@5 74.609 (73.330)
Epoch: [78][2270/5005] Time 0.213 (0.211) Data 0.044 (0.048) Loss 2.4172 (2.2657) Prec@1 42.969 (48.050) Prec@5 69.531 (73.334)
Epoch: [78][2280/5005] Time 0.211 (0.211) Data 0.048 (0.048) Loss 2.2853 (2.2656) Prec@1 48.047 (48.052) Prec@5 72.266 (73.334)
Epoch: [78][2290/5005] Time 0.199 (0.211) Data 0.058 (0.048) Loss 2.1408 (2.2656) Prec@1 50.781 (48.057) Prec@5 75.781 (73.332)
Epoch: [78][2300/5005] Time 0.212 (0.211) Data 0.044 (0.048) Loss 2.2238 (2.2656) Prec@1 48.438 (48.061) Prec@5 74.219 (73.330)
Epoch: [78][2310/5005] Time 0.218 (0.211) Data 0.043 (0.048) Loss 2.0604 (2.2656) Prec@1 53.906 (48.062) Prec@5 75.000 (73.327)
Epoch: [78][2320/5005] Time 0.215 (0.211) Data 0.043 (0.048) Loss 2.4034 (2.2654) Prec@1 49.609 (48.067) Prec@5 71.484 (73.332)
Epoch: [78][2330/5005] Time 0.210 (0.211) Data 0.044 (0.048) Loss 2.2819 (2.2651) Prec@1 51.172 (48.075) Prec@5 72.656 (73.333)
Epoch: [78][2340/5005] Time 0.210 (0.211) Data 0.045 (0.048) Loss 2.2427 (2.2651) Prec@1 50.000 (48.074) Prec@5 73.828 (73.335)
Epoch: [78][2350/5005] Time 0.214 (0.211) Data 0.043 (0.048) Loss 2.3436 (2.2651) Prec@1 44.922 (48.072) Prec@5 73.438 (73.335)
Epoch: [78][2360/5005] Time 0.205 (0.211) Data 0.057 (0.048) Loss 2.2564 (2.2653) Prec@1 48.438 (48.069) Prec@5 71.484 (73.334)
Epoch: [78][2370/5005] Time 0.207 (0.211) Data 0.044 (0.048) Loss 2.4062 (2.2655) Prec@1 42.969 (48.063) Prec@5 69.531 (73.329)
Epoch: [78][2380/5005] Time 0.205 (0.211) Data 0.045 (0.048) Loss 2.2349 (2.2654) Prec@1 51.953 (48.070) Prec@5 74.219 (73.333)
Epoch: [78][2390/5005] Time 0.202 (0.211) Data 0.045 (0.048) Loss 2.2613 (2.2653) Prec@1 45.312 (48.072) Prec@5 74.609 (73.336)
Epoch: [78][2400/5005] Time 0.207 (0.211) Data 0.045 (0.048) Loss 2.0876 (2.2651) Prec@1 47.656 (48.069) Prec@5 75.000 (73.337)
Epoch: [78][2410/5005] Time 0.197 (0.211) Data 0.042 (0.048) Loss 2.4841 (2.2651) Prec@1 44.922 (48.069) Prec@5 68.359 (73.334)
Epoch: [78][2420/5005] Time 0.212 (0.211) Data 0.045 (0.048) Loss 2.2798 (2.2648) Prec@1 46.875 (48.078) Prec@5 73.828 (73.337)
Epoch: [78][2430/5005] Time 0.209 (0.211) Data 0.048 (0.048) Loss 2.1499 (2.2649) Prec@1 49.219 (48.072) Prec@5 75.391 (73.333)
Epoch: [78][2440/5005] Time 0.208 (0.211) Data 0.049 (0.048) Loss 2.0590 (2.2648) Prec@1 52.734 (48.080) Prec@5 76.172 (73.333)
Epoch: [78][2450/5005] Time 0.213 (0.211) Data 0.044 (0.048) Loss 2.1801 (2.2647) Prec@1 50.781 (48.081) Prec@5 72.266 (73.335)
Epoch: [78][2460/5005] Time 0.203 (0.211) Data 0.044 (0.048) Loss 2.3981 (2.2646) Prec@1 46.875 (48.085) Prec@5 73.047 (73.338)
Epoch: [78][2470/5005] Time 0.208 (0.211) Data 0.042 (0.048) Loss 2.1716 (2.2645) Prec@1 51.562 (48.089) Prec@5 75.391 (73.341)
Epoch: [78][2480/5005] Time 0.211 (0.211) Data 0.042 (0.048) Loss 2.4794 (2.2649) Prec@1 43.359 (48.083) Prec@5 71.094 (73.337)
Epoch: [78][2490/5005] Time 0.211 (0.211) Data 0.044 (0.048) Loss 2.1140 (2.2649) Prec@1 49.609 (48.080) Prec@5 77.344 (73.336)
Epoch: [78][2500/5005] Time 0.203 (0.211) Data 0.043 (0.048) Loss 2.3739 (2.2649) Prec@1 44.531 (48.083) Prec@5 70.312 (73.336)
Epoch: [78][2510/5005] Time 0.205 (0.211) Data 0.057 (0.048) Loss 2.3793 (2.2649) Prec@1 46.875 (48.082) Prec@5 73.438 (73.337)
Epoch: [78][2520/5005] Time 0.207 (0.211) Data 0.058 (0.048) Loss 2.3473 (2.2649) Prec@1 47.266 (48.081) Prec@5 73.047 (73.336)
Epoch: [78][2530/5005] Time 0.206 (0.211) Data 0.057 (0.048) Loss 2.4428 (2.2649) Prec@1 46.094 (48.081) Prec@5 70.703 (73.336)
Epoch: [78][2540/5005] Time 0.202 (0.211) Data 0.056 (0.048) Loss 2.1503 (2.2647) Prec@1 50.000 (48.088) Prec@5 74.219 (73.339)
Epoch: [78][2550/5005] Time 0.212 (0.211) Data 0.044 (0.048) Loss 2.1109 (2.2646) Prec@1 49.609 (48.088) Prec@5 76.172 (73.342)
Epoch: [78][2560/5005] Time 0.200 (0.211) Data 0.044 (0.048) Loss 2.4963 (2.2648) Prec@1 49.609 (48.088) Prec@5 70.312 (73.340)
Epoch: [78][2570/5005] Time 0.207 (0.211) Data 0.041 (0.048) Loss 2.2238 (2.2650) Prec@1 46.875 (48.086) Prec@5 76.562 (73.337)
Epoch: [78][2580/5005] Time 0.214 (0.211) Data 0.044 (0.048) Loss 2.2574 (2.2653) Prec@1 49.609 (48.079) Prec@5 73.438 (73.334)
Epoch: [78][2590/5005] Time 0.207 (0.211) Data 0.043 (0.048) Loss 2.2933 (2.2650) Prec@1 52.734 (48.087) Prec@5 73.438 (73.339)
Epoch: [78][2600/5005] Time 0.215 (0.211) Data 0.043 (0.048) Loss 2.2927 (2.2653) Prec@1 48.047 (48.086) Prec@5 75.391 (73.336)
Epoch: [78][2610/5005] Time 0.208 (0.211) Data 0.043 (0.048) Loss 2.4380 (2.2652) Prec@1 46.484 (48.087) Prec@5 67.578 (73.336)
Epoch: [78][2620/5005] Time 0.209 (0.211) Data 0.044 (0.048) Loss 2.2839 (2.2653) Prec@1 46.875 (48.086) Prec@5 72.266 (73.335)
Epoch: [78][2630/5005] Time 0.212 (0.211) Data 0.044 (0.048) Loss 2.5106 (2.2658) Prec@1 41.016 (48.079) Prec@5 71.875 (73.328)
Epoch: [78][2640/5005] Time 0.221 (0.211) Data 0.041 (0.048) Loss 2.5297 (2.2658) Prec@1 41.797 (48.076) Prec@5 66.016 (73.329)
Epoch: [78][2650/5005] Time 0.205 (0.211) Data 0.043 (0.048) Loss 2.6023 (2.2658) Prec@1 42.188 (48.074) Prec@5 64.844 (73.328)
Epoch: [78][2660/5005] Time 0.212 (0.211) Data 0.051 (0.048) Loss 2.1956 (2.2657) Prec@1 44.141 (48.074) Prec@5 75.000 (73.327)
Epoch: [78][2670/5005] Time 0.212 (0.211) Data 0.045 (0.048) Loss 2.0002 (2.2654) Prec@1 54.688 (48.079) Prec@5 78.125 (73.330)
Epoch: [78][2680/5005] Time 0.211 (0.211) Data 0.042 (0.048) Loss 2.2175 (2.2654) Prec@1 48.828 (48.076) Prec@5 73.047 (73.333)
Epoch: [78][2690/5005] Time 0.200 (0.211) Data 0.042 (0.048) Loss 2.1453 (2.2654) Prec@1 51.953 (48.074) Prec@5 77.344 (73.334)
Epoch: [78][2700/5005] Time 0.211 (0.211) Data 0.052 (0.048) Loss 2.1970 (2.2654) Prec@1 50.781 (48.073) Prec@5 74.219 (73.332)
Epoch: [78][2710/5005] Time 0.210 (0.211) Data 0.046 (0.048) Loss 2.0832 (2.2655) Prec@1 50.391 (48.071) Prec@5 76.172 (73.331)
Epoch: [78][2720/5005] Time 0.206 (0.211) Data 0.049 (0.048) Loss 2.1547 (2.2655) Prec@1 51.953 (48.069) Prec@5 76.172 (73.333)
Epoch: [78][2730/5005] Time 0.204 (0.211) Data 0.044 (0.048) Loss 2.3174 (2.2653) Prec@1 46.875 (48.074) Prec@5 71.875 (73.338)
Epoch: [78][2740/5005] Time 0.213 (0.211) Data 0.044 (0.048) Loss 2.2434 (2.2653) Prec@1 50.000 (48.076) Prec@5 73.438 (73.336)
Epoch: [78][2750/5005] Time 0.206 (0.211) Data 0.041 (0.048) Loss 2.2559 (2.2652) Prec@1 50.391 (48.081) Prec@5 75.000 (73.334)
Epoch: [78][2760/5005] Time 0.210 (0.211) Data 0.054 (0.048) Loss 2.3784 (2.2651) Prec@1 48.438 (48.083) Prec@5 71.875 (73.336)
Epoch: [78][2770/5005] Time 0.201 (0.211) Data 0.057 (0.048) Loss 2.2559 (2.2652) Prec@1 49.219 (48.081) Prec@5 73.438 (73.336)
Epoch: [78][2780/5005] Time 0.207 (0.211) Data 0.042 (0.048) Loss 2.4486 (2.2651) Prec@1 45.312 (48.086) Prec@5 70.703 (73.338)
Epoch: [78][2790/5005] Time 0.205 (0.211) Data 0.042 (0.048) Loss 2.5326 (2.2652) Prec@1 41.406 (48.083) Prec@5 67.578 (73.333)
Epoch: [78][2800/5005] Time 0.201 (0.211) Data 0.044 (0.048) Loss 1.9768 (2.2652) Prec@1 54.688 (48.086) Prec@5 78.906 (73.333)
Epoch: [78][2810/5005] Time 0.215 (0.211) Data 0.044 (0.048) Loss 2.4503 (2.2653) Prec@1 42.969 (48.083) Prec@5 68.750 (73.333)
Epoch: [78][2820/5005] Time 0.212 (0.211) Data 0.042 (0.048) Loss 1.9519 (2.2652) Prec@1 51.172 (48.081) Prec@5 77.344 (73.337)
Epoch: [78][2830/5005] Time 0.204 (0.211) Data 0.054 (0.048) Loss 2.3859 (2.2653) Prec@1 44.922 (48.079) Prec@5 72.266 (73.335)
Epoch: [78][2840/5005] Time 0.219 (0.211) Data 0.045 (0.048) Loss 2.3259 (2.2653) Prec@1 45.703 (48.081) Prec@5 71.484 (73.335)
Epoch: [78][2850/5005] Time 0.204 (0.211) Data 0.047 (0.048) Loss 2.2706 (2.2652) Prec@1 50.781 (48.084) Prec@5 70.703 (73.333)
Epoch: [78][2860/5005] Time 0.210 (0.211) Data 0.043 (0.048) Loss 2.2000 (2.2653) Prec@1 49.609 (48.083) Prec@5 74.609 (73.333)
Epoch: [78][2870/5005] Time 0.210 (0.211) Data 0.043 (0.048) Loss 2.1482 (2.2651) Prec@1 53.125 (48.092) Prec@5 76.172 (73.340)
Epoch: [78][2880/5005] Time 0.205 (0.211) Data 0.043 (0.048) Loss 2.2905 (2.2650) Prec@1 45.703 (48.092) Prec@5 74.609 (73.340)
Epoch: [78][2890/5005] Time 0.200 (0.210) Data 0.047 (0.048) Loss 2.3573 (2.2650) Prec@1 42.578 (48.091) Prec@5 70.312 (73.340)
Epoch: [78][2900/5005] Time 0.199 (0.210) Data 0.062 (0.048) Loss 1.9439 (2.2647) Prec@1 52.344 (48.092) Prec@5 78.125 (73.345)
Epoch: [78][2910/5005] Time 0.208 (0.210) Data 0.051 (0.048) Loss 2.3117 (2.2648) Prec@1 48.438 (48.094) Prec@5 73.828 (73.345)
Epoch: [78][2920/5005] Time 0.200 (0.210) Data 0.045 (0.048) Loss 2.4384 (2.2648) Prec@1 44.531 (48.097) Prec@5 69.922 (73.349)
Epoch: [78][2930/5005] Time 0.202 (0.210) Data 0.040 (0.048) Loss 2.3783 (2.2648) Prec@1 46.875 (48.096) Prec@5 72.656 (73.349)
Epoch: [78][2940/5005] Time 0.213 (0.210) Data 0.045 (0.048) Loss 2.3528 (2.2645) Prec@1 45.703 (48.100) Prec@5 73.438 (73.354)
Epoch: [78][2950/5005] Time 0.213 (0.210) Data 0.044 (0.048) Loss 2.4106 (2.2644) Prec@1 45.703 (48.102) Prec@5 72.266 (73.357)
Epoch: [78][2960/5005] Time 0.213 (0.210) Data 0.042 (0.048) Loss 2.2871 (2.2641) Prec@1 49.609 (48.110) Prec@5 70.312 (73.359)
Epoch: [78][2970/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.4270 (2.2640) Prec@1 42.188 (48.112) Prec@5 71.094 (73.361)
Epoch: [78][2980/5005] Time 0.214 (0.210) Data 0.041 (0.048) Loss 2.4022 (2.2641) Prec@1 42.188 (48.113) Prec@5 73.828 (73.359)
Epoch: [78][2990/5005] Time 0.204 (0.210) Data 0.048 (0.048) Loss 2.1275 (2.2641) Prec@1 50.781 (48.111) Prec@5 75.781 (73.359)
Epoch: [78][3000/5005] Time 0.203 (0.210) Data 0.055 (0.048) Loss 2.2243 (2.2639) Prec@1 46.484 (48.111) Prec@5 74.219 (73.360)
Epoch: [78][3010/5005] Time 0.208 (0.210) Data 0.048 (0.048) Loss 2.1123 (2.2639) Prec@1 53.125 (48.113) Prec@5 75.000 (73.359)
Epoch: [78][3020/5005] Time 0.207 (0.210) Data 0.045 (0.048) Loss 2.2093 (2.2641) Prec@1 45.703 (48.109) Prec@5 73.047 (73.357)
Epoch: [78][3030/5005] Time 0.208 (0.210) Data 0.045 (0.048) Loss 2.3549 (2.2641) Prec@1 48.438 (48.107) Prec@5 73.438 (73.356)
Epoch: [78][3040/5005] Time 0.204 (0.210) Data 0.053 (0.048) Loss 2.1859 (2.2640) Prec@1 50.391 (48.108) Prec@5 74.609 (73.359)
Epoch: [78][3050/5005] Time 0.203 (0.210) Data 0.048 (0.048) Loss 2.0960 (2.2639) Prec@1 50.781 (48.108) Prec@5 78.125 (73.362)
Epoch: [78][3060/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.0800 (2.2637) Prec@1 49.219 (48.109) Prec@5 78.516 (73.364)
Epoch: [78][3070/5005] Time 0.207 (0.210) Data 0.042 (0.048) Loss 2.0309 (2.2638) Prec@1 53.516 (48.108) Prec@5 78.516 (73.362)
Epoch: [78][3080/5005] Time 0.211 (0.210) Data 0.046 (0.048) Loss 2.1034 (2.2638) Prec@1 51.562 (48.106) Prec@5 74.219 (73.363)
Epoch: [78][3090/5005] Time 0.197 (0.210) Data 0.051 (0.048) Loss 2.6243 (2.2637) Prec@1 39.844 (48.103) Prec@5 66.406 (73.364)
Epoch: [78][3100/5005] Time 0.201 (0.210) Data 0.046 (0.048) Loss 2.2930 (2.2638) Prec@1 46.875 (48.099) Prec@5 70.703 (73.362)
Epoch: [78][3110/5005] Time 0.201 (0.210) Data 0.045 (0.048) Loss 2.0639 (2.2635) Prec@1 50.781 (48.104) Prec@5 75.781 (73.368)
Epoch: [78][3120/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.2967 (2.2635) Prec@1 47.266 (48.101) Prec@5 74.219 (73.367)
Epoch: [78][3130/5005] Time 0.209 (0.210) Data 0.046 (0.048) Loss 2.3958 (2.2634) Prec@1 43.750 (48.105) Prec@5 69.922 (73.370)
Epoch: [78][3140/5005] Time 0.204 (0.210) Data 0.045 (0.048) Loss 2.0776 (2.2632) Prec@1 56.250 (48.111) Prec@5 77.344 (73.370)
Epoch: [78][3150/5005] Time 0.202 (0.210) Data 0.052 (0.048) Loss 2.3703 (2.2632) Prec@1 45.703 (48.116) Prec@5 71.094 (73.370)
Epoch: [78][3160/5005] Time 0.208 (0.210) Data 0.038 (0.048) Loss 2.0840 (2.2631) Prec@1 53.125 (48.121) Prec@5 75.781 (73.370)
Epoch: [78][3170/5005] Time 0.210 (0.210) Data 0.042 (0.048) Loss 2.4106 (2.2632) Prec@1 46.484 (48.120) Prec@5 68.359 (73.367)
Epoch: [78][3180/5005] Time 0.206 (0.210) Data 0.053 (0.048) Loss 2.0696 (2.2633) Prec@1 53.906 (48.119) Prec@5 78.906 (73.365)
Epoch: [78][3190/5005] Time 0.196 (0.210) Data 0.046 (0.048) Loss 2.2236 (2.2633) Prec@1 48.438 (48.116) Prec@5 74.219 (73.366)
Epoch: [78][3200/5005] Time 0.216 (0.210) Data 0.045 (0.048) Loss 2.2723 (2.2634) Prec@1 46.875 (48.118) Prec@5 73.828 (73.365)
Epoch: [78][3210/5005] Time 0.213 (0.210) Data 0.047 (0.048) Loss 2.4475 (2.2635) Prec@1 45.703 (48.118) Prec@5 70.312 (73.365)
Epoch: [78][3220/5005] Time 0.201 (0.210) Data 0.052 (0.048) Loss 2.3950 (2.2635) Prec@1 47.266 (48.119) Prec@5 71.875 (73.364)
Epoch: [78][3230/5005] Time 0.212 (0.210) Data 0.065 (0.048) Loss 2.1326 (2.2634) Prec@1 50.781 (48.122) Prec@5 74.609 (73.365)
Epoch: [78][3240/5005] Time 0.208 (0.210) Data 0.063 (0.048) Loss 2.4380 (2.2637) Prec@1 42.188 (48.114) Prec@5 70.703 (73.358)
Epoch: [78][3250/5005] Time 0.191 (0.210) Data 0.061 (0.048) Loss 2.1464 (2.2637) Prec@1 50.391 (48.116) Prec@5 76.562 (73.361)
Epoch: [78][3260/5005] Time 0.202 (0.210) Data 0.050 (0.048) Loss 2.2727 (2.2637) Prec@1 49.219 (48.117) Prec@5 73.438 (73.363)
Epoch: [78][3270/5005] Time 0.211 (0.210) Data 0.046 (0.048) Loss 2.4614 (2.2634) Prec@1 43.750 (48.120) Prec@5 71.484 (73.367)
Epoch: [78][3280/5005] Time 0.203 (0.210) Data 0.057 (0.048) Loss 2.2519 (2.2635) Prec@1 48.828 (48.118) Prec@5 69.922 (73.364)
Epoch: [78][3290/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.1900 (2.2633) Prec@1 50.391 (48.121) Prec@5 73.438 (73.366)
Epoch: [78][3300/5005] Time 0.195 (0.210) Data 0.057 (0.048) Loss 2.1439 (2.2634) Prec@1 44.922 (48.120) Prec@5 75.391 (73.362)
Epoch: [78][3310/5005] Time 0.194 (0.210) Data 0.046 (0.048) Loss 2.2392 (2.2634) Prec@1 49.219 (48.121) Prec@5 73.828 (73.362)
Epoch: [78][3320/5005] Time 0.200 (0.210) Data 0.061 (0.048) Loss 2.4062 (2.2635) Prec@1 46.484 (48.120) Prec@5 71.875 (73.360)
Epoch: [78][3330/5005] Time 0.210 (0.210) Data 0.047 (0.048) Loss 2.3307 (2.2635) Prec@1 45.703 (48.120) Prec@5 71.875 (73.360)
Epoch: [78][3340/5005] Time 0.208 (0.210) Data 0.042 (0.048) Loss 2.2869 (2.2636) Prec@1 47.266 (48.118) Prec@5 76.172 (73.358)
Epoch: [78][3350/5005] Time 0.203 (0.210) Data 0.049 (0.048) Loss 2.3868 (2.2634) Prec@1 46.484 (48.118) Prec@5 72.266 (73.362)
Epoch: [78][3360/5005] Time 0.212 (0.210) Data 0.047 (0.048) Loss 2.2357 (2.2635) Prec@1 46.484 (48.116) Prec@5 76.562 (73.364)
Epoch: [78][3370/5005] Time 0.208 (0.210) Data 0.042 (0.048) Loss 2.3305 (2.2635) Prec@1 45.312 (48.116) Prec@5 71.094 (73.361)
Epoch: [78][3380/5005] Time 0.200 (0.210) Data 0.044 (0.048) Loss 2.2904 (2.2633) Prec@1 50.391 (48.117) Prec@5 71.094 (73.365)
Epoch: [78][3390/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.1403 (2.2634) Prec@1 51.562 (48.115) Prec@5 76.172 (73.362)
Epoch: [78][3400/5005] Time 0.202 (0.210) Data 0.058 (0.048) Loss 2.1667 (2.2634) Prec@1 51.953 (48.117) Prec@5 76.953 (73.362)
Epoch: [78][3410/5005] Time 0.205 (0.210) Data 0.064 (0.048) Loss 2.1665 (2.2633) Prec@1 45.312 (48.116) Prec@5 77.344 (73.363)
Epoch: [78][3420/5005] Time 0.196 (0.210) Data 0.045 (0.048) Loss 2.1264 (2.2634) Prec@1 50.781 (48.116) Prec@5 76.172 (73.359)
Epoch: [78][3430/5005] Time 0.205 (0.210) Data 0.044 (0.048) Loss 2.2681 (2.2635) Prec@1 47.656 (48.111) Prec@5 71.875 (73.358)
Epoch: [78][3440/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.3109 (2.2635) Prec@1 46.875 (48.112) Prec@5 69.141 (73.357)
Epoch: [78][3450/5005] Time 0.203 (0.210) Data 0.051 (0.048) Loss 2.0603 (2.2634) Prec@1 52.734 (48.115) Prec@5 76.172 (73.359)
Epoch: [78][3460/5005] Time 0.194 (0.210) Data 0.047 (0.048) Loss 2.2301 (2.2634) Prec@1 51.562 (48.115) Prec@5 74.219 (73.360)
Epoch: [78][3470/5005] Time 0.210 (0.210) Data 0.049 (0.048) Loss 2.1402 (2.2632) Prec@1 50.781 (48.121) Prec@5 77.734 (73.364)
Epoch: [78][3480/5005] Time 0.213 (0.210) Data 0.042 (0.048) Loss 2.1701 (2.2630) Prec@1 49.609 (48.122) Prec@5 73.438 (73.367)
Epoch: [78][3490/5005] Time 0.204 (0.210) Data 0.050 (0.048) Loss 2.3105 (2.2630) Prec@1 46.094 (48.123) Prec@5 72.266 (73.367)
Epoch: [78][3500/5005] Time 0.206 (0.210) Data 0.048 (0.048) Loss 2.2019 (2.2631) Prec@1 50.391 (48.122) Prec@5 76.172 (73.366)
Epoch: [78][3510/5005] Time 0.209 (0.210) Data 0.051 (0.048) Loss 2.2226 (2.2630) Prec@1 53.125 (48.123) Prec@5 74.609 (73.367)
Epoch: [78][3520/5005] Time 0.222 (0.210) Data 0.047 (0.048) Loss 2.3702 (2.2630) Prec@1 47.266 (48.126) Prec@5 72.266 (73.368)
Epoch: [78][3530/5005] Time 0.208 (0.210) Data 0.048 (0.048) Loss 2.4015 (2.2629) Prec@1 44.922 (48.132) Prec@5 73.438 (73.370)
Epoch: [78][3540/5005] Time 0.209 (0.210) Data 0.049 (0.048) Loss 2.0744 (2.2627) Prec@1 51.172 (48.136) Prec@5 75.781 (73.375)
Epoch: [78][3550/5005] Time 0.213 (0.210) Data 0.042 (0.048) Loss 2.4015 (2.2626) Prec@1 41.797 (48.138) Prec@5 72.266 (73.377)
Epoch: [78][3560/5005] Time 0.210 (0.210) Data 0.050 (0.048) Loss 2.3280 (2.2625) Prec@1 46.094 (48.141) Prec@5 72.266 (73.379)
Epoch: [78][3570/5005] Time 0.217 (0.210) Data 0.047 (0.048) Loss 2.3624 (2.2625) Prec@1 49.609 (48.138) Prec@5 71.484 (73.378)
Epoch: [78][3580/5005] Time 0.209 (0.210) Data 0.052 (0.048) Loss 2.2481 (2.2626) Prec@1 52.734 (48.136) Prec@5 72.266 (73.379)
Epoch: [78][3590/5005] Time 0.205 (0.210) Data 0.045 (0.048) Loss 2.2313 (2.2623) Prec@1 50.781 (48.140) Prec@5 72.266 (73.383)
Epoch: [78][3600/5005] Time 0.213 (0.210) Data 0.044 (0.048) Loss 2.2972 (2.2621) Prec@1 49.219 (48.145) Prec@5 71.484 (73.385)
Epoch: [78][3610/5005] Time 0.218 (0.210) Data 0.049 (0.048) Loss 2.2844 (2.2622) Prec@1 46.094 (48.143) Prec@5 71.094 (73.382)
Epoch: [78][3620/5005] Time 0.207 (0.210) Data 0.045 (0.048) Loss 2.3811 (2.2620) Prec@1 45.703 (48.145) Prec@5 69.922 (73.383)
Epoch: [78][3630/5005] Time 0.214 (0.210) Data 0.050 (0.048) Loss 2.5057 (2.2619) Prec@1 41.797 (48.145) Prec@5 69.922 (73.385)
Epoch: [78][3640/5005] Time 0.208 (0.210) Data 0.045 (0.048) Loss 2.2591 (2.2620) Prec@1 40.234 (48.143) Prec@5 76.172 (73.384)
Epoch: [78][3650/5005] Time 0.209 (0.210) Data 0.051 (0.048) Loss 2.0324 (2.2619) Prec@1 50.391 (48.140) Prec@5 76.172 (73.385)
Epoch: [78][3660/5005] Time 0.206 (0.210) Data 0.049 (0.048) Loss 2.3224 (2.2618) Prec@1 48.828 (48.144) Prec@5 72.656 (73.388)
Epoch: [78][3670/5005] Time 0.204 (0.210) Data 0.052 (0.048) Loss 2.4334 (2.2619) Prec@1 46.094 (48.144) Prec@5 69.922 (73.387)
Epoch: [78][3680/5005] Time 0.206 (0.210) Data 0.043 (0.048) Loss 2.1051 (2.2620) Prec@1 50.391 (48.140) Prec@5 75.781 (73.383)
Epoch: [78][3690/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.0968 (2.2619) Prec@1 50.000 (48.141) Prec@5 75.000 (73.385)
Epoch: [78][3700/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.2980 (2.2620) Prec@1 51.172 (48.141) Prec@5 74.609 (73.381)
Epoch: [78][3710/5005] Time 0.214 (0.210) Data 0.045 (0.048) Loss 2.1422 (2.2620) Prec@1 51.562 (48.143) Prec@5 75.781 (73.383)
Epoch: [78][3720/5005] Time 0.215 (0.210) Data 0.044 (0.048) Loss 2.3252 (2.2620) Prec@1 45.312 (48.142) Prec@5 72.656 (73.384)
Epoch: [78][3730/5005] Time 0.215 (0.210) Data 0.046 (0.048) Loss 2.0984 (2.2617) Prec@1 48.828 (48.145) Prec@5 79.297 (73.387)
Epoch: [78][3740/5005] Time 0.208 (0.210) Data 0.046 (0.048) Loss 2.1346 (2.2614) Prec@1 53.516 (48.151) Prec@5 76.172 (73.391)
Epoch: [78][3750/5005] Time 0.201 (0.210) Data 0.045 (0.048) Loss 2.0832 (2.2615) Prec@1 51.562 (48.149) Prec@5 80.078 (73.389)
Epoch: [78][3760/5005] Time 0.210 (0.210) Data 0.052 (0.048) Loss 2.3091 (2.2615) Prec@1 51.172 (48.148) Prec@5 71.484 (73.386)
Epoch: [78][3770/5005] Time 0.217 (0.210) Data 0.043 (0.048) Loss 2.5679 (2.2615) Prec@1 40.234 (48.149) Prec@5 71.484 (73.388)
Epoch: [78][3780/5005] Time 0.211 (0.210) Data 0.047 (0.048) Loss 2.1206 (2.2615) Prec@1 48.438 (48.151) Prec@5 75.000 (73.387)
Epoch: [78][3790/5005] Time 0.221 (0.210) Data 0.042 (0.048) Loss 2.2882 (2.2615) Prec@1 52.734 (48.147) Prec@5 74.219 (73.389)
Epoch: [78][3800/5005] Time 0.208 (0.210) Data 0.044 (0.048) Loss 2.2545 (2.2617) Prec@1 44.531 (48.145) Prec@5 73.438 (73.385)
Epoch: [78][3810/5005] Time 0.205 (0.210) Data 0.042 (0.048) Loss 2.0828 (2.2617) Prec@1 53.125 (48.140) Prec@5 76.172 (73.382)
Epoch: [78][3820/5005] Time 0.200 (0.210) Data 0.060 (0.048) Loss 2.1869 (2.2616) Prec@1 46.484 (48.142) Prec@5 74.609 (73.383)
Epoch: [78][3830/5005] Time 0.208 (0.210) Data 0.046 (0.048) Loss 2.2514 (2.2614) Prec@1 47.266 (48.147) Prec@5 75.000 (73.386)
Epoch: [78][3840/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.4775 (2.2615) Prec@1 44.922 (48.146) Prec@5 68.750 (73.384)
Epoch: [78][3850/5005] Time 0.204 (0.210) Data 0.046 (0.048) Loss 2.3301 (2.2614) Prec@1 49.219 (48.144) Prec@5 71.875 (73.387)
Epoch: [78][3860/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.0962 (2.2614) Prec@1 53.906 (48.143) Prec@5 74.609 (73.383)
Epoch: [78][3870/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.2009 (2.2614) Prec@1 49.219 (48.143) Prec@5 75.000 (73.381)
Epoch: [78][3880/5005] Time 0.214 (0.210) Data 0.045 (0.048) Loss 2.0918 (2.2614) Prec@1 51.953 (48.144) Prec@5 73.828 (73.381)
Epoch: [78][3890/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.5123 (2.2614) Prec@1 44.141 (48.145) Prec@5 67.188 (73.382)
Epoch: [78][3900/5005] Time 0.210 (0.210) Data 0.039 (0.048) Loss 2.5173 (2.2615) Prec@1 42.578 (48.139) Prec@5 69.141 (73.379)
Epoch: [78][3910/5005] Time 0.211 (0.210) Data 0.046 (0.048) Loss 2.3438 (2.2615) Prec@1 46.875 (48.138) Prec@5 74.219 (73.378)
Epoch: [78][3920/5005] Time 0.211 (0.210) Data 0.047 (0.048) Loss 2.3137 (2.2616) Prec@1 48.047 (48.136) Prec@5 73.047 (73.373)
Epoch: [78][3930/5005] Time 0.218 (0.210) Data 0.043 (0.048) Loss 2.1724 (2.2615) Prec@1 47.266 (48.138) Prec@5 72.656 (73.375)
Epoch: [78][3940/5005] Time 0.207 (0.210) Data 0.068 (0.048) Loss 2.2481 (2.2615) Prec@1 50.000 (48.136) Prec@5 73.828 (73.375)
Epoch: [78][3950/5005] Time 0.193 (0.210) Data 0.058 (0.048) Loss 2.1606 (2.2613) Prec@1 51.562 (48.141) Prec@5 75.781 (73.379)
Epoch: [78][3960/5005] Time 0.212 (0.210) Data 0.042 (0.048) Loss 2.2878 (2.2613) Prec@1 48.047 (48.139) Prec@5 75.000 (73.381)
Epoch: [78][3970/5005] Time 0.203 (0.210) Data 0.057 (0.048) Loss 2.0730 (2.2613) Prec@1 51.562 (48.139) Prec@5 75.391 (73.381)
Epoch: [78][3980/5005] Time 0.205 (0.210) Data 0.045 (0.048) Loss 2.1093 (2.2612) Prec@1 48.828 (48.137) Prec@5 75.781 (73.383)
Epoch: [78][3990/5005] Time 0.214 (0.210) Data 0.043 (0.048) Loss 2.2425 (2.2614) Prec@1 47.266 (48.133) Prec@5 74.219 (73.379)
Epoch: [78][4000/5005] Time 0.205 (0.210) Data 0.047 (0.048) Loss 2.0608 (2.2613) Prec@1 48.828 (48.134) Prec@5 73.828 (73.382)
Epoch: [78][4010/5005] Time 0.208 (0.210) Data 0.047 (0.048) Loss 2.2936 (2.2610) Prec@1 46.484 (48.139) Prec@5 71.094 (73.385)
Epoch: [78][4020/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.4147 (2.2610) Prec@1 44.531 (48.142) Prec@5 69.922 (73.385)
Epoch: [78][4030/5005] Time 0.208 (0.210) Data 0.043 (0.048) Loss 2.3964 (2.2612) Prec@1 48.047 (48.140) Prec@5 70.703 (73.382)
Epoch: [78][4040/5005] Time 0.221 (0.210) Data 0.043 (0.048) Loss 2.2361 (2.2612) Prec@1 47.266 (48.139) Prec@5 71.094 (73.382)
Epoch: [78][4050/5005] Time 0.208 (0.210) Data 0.041 (0.048) Loss 2.4149 (2.2612) Prec@1 39.844 (48.136) Prec@5 69.141 (73.383)
Epoch: [78][4060/5005] Time 0.209 (0.210) Data 0.045 (0.048) Loss 2.2686 (2.2612) Prec@1 45.312 (48.135) Prec@5 73.438 (73.384)
Epoch: [78][4070/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.4410 (2.2613) Prec@1 45.703 (48.134) Prec@5 73.438 (73.384)
Epoch: [78][4080/5005] Time 0.208 (0.210) Data 0.046 (0.048) Loss 2.2890 (2.2613) Prec@1 44.922 (48.133) Prec@5 72.266 (73.382)
Epoch: [78][4090/5005] Time 0.203 (0.210) Data 0.045 (0.048) Loss 2.4212 (2.2612) Prec@1 47.266 (48.135) Prec@5 70.703 (73.383)
Epoch: [78][4100/5005] Time 0.209 (0.210) Data 0.054 (0.048) Loss 2.1858 (2.2612) Prec@1 45.703 (48.137) Prec@5 76.172 (73.383)
Epoch: [78][4110/5005] Time 0.207 (0.210) Data 0.056 (0.048) Loss 2.2812 (2.2611) Prec@1 48.438 (48.138) Prec@5 74.219 (73.383)
Epoch: [78][4120/5005] Time 0.216 (0.210) Data 0.060 (0.048) Loss 2.2925 (2.2610) Prec@1 44.922 (48.139) Prec@5 74.609 (73.387)
Epoch: [78][4130/5005] Time 0.215 (0.210) Data 0.055 (0.048) Loss 2.3521 (2.2609) Prec@1 47.266 (48.141) Prec@5 71.484 (73.390)
Epoch: [78][4140/5005] Time 0.182 (0.210) Data 0.047 (0.048) Loss 2.4715 (2.2610) Prec@1 43.750 (48.139) Prec@5 69.141 (73.388)
Epoch: [78][4150/5005] Time 0.212 (0.210) Data 0.053 (0.048) Loss 2.5580 (2.2610) Prec@1 48.828 (48.139) Prec@5 67.578 (73.388)
Epoch: [78][4160/5005] Time 0.213 (0.210) Data 0.044 (0.048) Loss 2.1843 (2.2611) Prec@1 50.000 (48.137) Prec@5 74.219 (73.388)
Epoch: [78][4170/5005] Time 0.204 (0.210) Data 0.047 (0.048) Loss 2.1977 (2.2609) Prec@1 48.438 (48.138) Prec@5 73.828 (73.391)
Epoch: [78][4180/5005] Time 0.205 (0.210) Data 0.049 (0.048) Loss 2.1254 (2.2608) Prec@1 51.953 (48.141) Prec@5 75.781 (73.394)
Epoch: [78][4190/5005] Time 0.206 (0.210) Data 0.046 (0.048) Loss 2.1464 (2.2607) Prec@1 48.047 (48.139) Prec@5 75.000 (73.393)
Epoch: [78][4200/5005] Time 0.203 (0.209) Data 0.047 (0.048) Loss 2.1082 (2.2606) Prec@1 48.438 (48.141) Prec@5 76.953 (73.395)
Epoch: [78][4210/5005] Time 0.209 (0.209) Data 0.053 (0.048) Loss 2.0679 (2.2605) Prec@1 50.391 (48.142) Prec@5 78.125 (73.397)
Epoch: [78][4220/5005] Time 0.207 (0.209) Data 0.044 (0.048) Loss 2.3958 (2.2607) Prec@1 40.625 (48.137) Prec@5 74.609 (73.395)
Epoch: [78][4230/5005] Time 0.210 (0.209) Data 0.041 (0.048) Loss 2.3581 (2.2607) Prec@1 47.656 (48.138) Prec@5 70.312 (73.395)
Epoch: [78][4240/5005] Time 0.209 (0.209) Data 0.044 (0.048) Loss 2.1483 (2.2607) Prec@1 50.391 (48.139) Prec@5 78.125 (73.396)
Epoch: [78][4250/5005] Time 0.189 (0.209) Data 0.049 (0.048) Loss 2.0444 (2.2606) Prec@1 52.344 (48.140) Prec@5 78.516 (73.399)
Epoch: [78][4260/5005] Time 0.206 (0.209) Data 0.043 (0.048) Loss 2.1373 (2.2605) Prec@1 48.047 (48.139) Prec@5 74.219 (73.400)
Epoch: [78][4270/5005] Time 0.219 (0.209) Data 0.042 (0.048) Loss 2.3790 (2.2607) Prec@1 44.141 (48.135) Prec@5 73.438 (73.398)
Epoch: [78][4280/5005] Time 0.204 (0.209) Data 0.051 (0.048) Loss 2.3721 (2.2607) Prec@1 44.141 (48.137) Prec@5 70.312 (73.399)
Epoch: [78][4290/5005] Time 0.210 (0.209) Data 0.050 (0.048) Loss 2.4767 (2.2608) Prec@1 44.141 (48.134) Prec@5 69.531 (73.398)
Epoch: [78][4300/5005] Time 0.205 (0.209) Data 0.052 (0.048) Loss 1.9771 (2.2605) Prec@1 49.609 (48.137) Prec@5 78.906 (73.401)
Epoch: [78][4310/5005] Time 0.203 (0.209) Data 0.046 (0.048) Loss 2.2116 (2.2604) Prec@1 48.828 (48.140) Prec@5 77.734 (73.404)
Epoch: [78][4320/5005] Time 0.215 (0.209) Data 0.045 (0.048) Loss 2.2885 (2.2605) Prec@1 48.828 (48.139) Prec@5 73.828 (73.402)
Epoch: [78][4330/5005] Time 0.208 (0.209) Data 0.061 (0.048) Loss 2.1760 (2.2604) Prec@1 47.266 (48.139) Prec@5 76.562 (73.404)
Epoch: [78][4340/5005] Time 0.212 (0.209) Data 0.044 (0.048) Loss 2.1655 (2.2605) Prec@1 46.875 (48.138) Prec@5 74.219 (73.406)
Epoch: [78][4350/5005] Time 0.207 (0.209) Data 0.045 (0.048) Loss 2.3273 (2.2604) Prec@1 44.922 (48.140) Prec@5 73.828 (73.406)
Epoch: [78][4360/5005] Time 0.203 (0.209) Data 0.049 (0.048) Loss 2.0473 (2.2603) Prec@1 52.344 (48.142) Prec@5 74.609 (73.407)
Epoch: [78][4370/5005] Time 0.208 (0.209) Data 0.048 (0.048) Loss 2.1611 (2.2602) Prec@1 48.828 (48.143) Prec@5 75.000 (73.407)
Epoch: [78][4380/5005] Time 0.198 (0.209) Data 0.060 (0.048) Loss 2.2629 (2.2602) Prec@1 48.438 (48.141) Prec@5 71.094 (73.406)
Epoch: [78][4390/5005] Time 0.203 (0.209) Data 0.044 (0.048) Loss 2.3621 (2.2601) Prec@1 46.875 (48.147) Prec@5 69.922 (73.406)
Epoch: [78][4400/5005] Time 0.209 (0.209) Data 0.043 (0.048) Loss 2.1979 (2.2601) Prec@1 48.828 (48.145) Prec@5 73.438 (73.406)
Epoch: [78][4410/5005] Time 0.210 (0.209) Data 0.042 (0.048) Loss 2.2805 (2.2600) Prec@1 45.703 (48.148) Prec@5 71.484 (73.406)
Epoch: [78][4420/5005] Time 0.216 (0.209) Data 0.044 (0.048) Loss 1.9437 (2.2599) Prec@1 52.344 (48.149) Prec@5 77.734 (73.407)
Epoch: [78][4430/5005] Time 0.201 (0.209) Data 0.063 (0.048) Loss 2.2626 (2.2597) Prec@1 47.656 (48.155) Prec@5 75.000 (73.411)
Epoch: [78][4440/5005] Time 0.212 (0.209) Data 0.047 (0.048) Loss 2.3400 (2.2597) Prec@1 48.047 (48.155) Prec@5 69.531 (73.412)
Epoch: [78][4450/5005] Time 0.206 (0.209) Data 0.046 (0.048) Loss 2.1942 (2.2597) Prec@1 48.047 (48.152) Prec@5 73.438 (73.410)
Epoch: [78][4460/5005] Time 0.201 (0.209) Data 0.050 (0.048) Loss 2.3391 (2.2596) Prec@1 46.875 (48.153) Prec@5 71.875 (73.411)
Epoch: [78][4470/5005] Time 0.213 (0.209) Data 0.044 (0.048) Loss 2.1751 (2.2597) Prec@1 48.828 (48.151) Prec@5 74.219 (73.410)
Epoch: [78][4480/5005] Time 0.213 (0.209) Data 0.042 (0.048) Loss 2.0392 (2.2598) Prec@1 52.734 (48.152) Prec@5 77.734 (73.409)
Epoch: [78][4490/5005] Time 0.197 (0.209) Data 0.050 (0.048) Loss 2.1745 (2.2599) Prec@1 48.438 (48.151) Prec@5 74.609 (73.407)
Epoch: [78][4500/5005] Time 0.201 (0.209) Data 0.050 (0.048) Loss 2.1621 (2.2599) Prec@1 48.828 (48.153) Prec@5 76.172 (73.409)
Epoch: [78][4510/5005] Time 0.210 (0.209) Data 0.046 (0.048) Loss 2.0544 (2.2599) Prec@1 52.734 (48.150) Prec@5 74.609 (73.409)
Epoch: [78][4520/5005] Time 0.216 (0.209) Data 0.043 (0.048) Loss 2.2101 (2.2597) Prec@1 48.438 (48.150) Prec@5 76.953 (73.411)
Epoch: [78][4530/5005] Time 0.209 (0.209) Data 0.046 (0.048) Loss 2.1833 (2.2597) Prec@1 48.828 (48.151) Prec@5 75.391 (73.412)
Epoch: [78][4540/5005] Time 0.205 (0.209) Data 0.047 (0.048) Loss 2.4168 (2.2599) Prec@1 51.172 (48.151) Prec@5 71.875 (73.409)
Epoch: [78][4550/5005] Time 0.211 (0.209) Data 0.044 (0.048) Loss 2.1792 (2.2598) Prec@1 49.609 (48.152) Prec@5 72.656 (73.409)
Epoch: [78][4560/5005] Time 0.202 (0.209) Data 0.047 (0.048) Loss 2.1855 (2.2597) Prec@1 49.609 (48.155) Prec@5 75.391 (73.410)
Epoch: [78][4570/5005] Time 0.208 (0.209) Data 0.047 (0.048) Loss 2.3097 (2.2595) Prec@1 46.484 (48.159) Prec@5 72.656 (73.413)
Epoch: [78][4580/5005] Time 0.215 (0.209) Data 0.049 (0.048) Loss 2.2651 (2.2595) Prec@1 46.484 (48.159) Prec@5 72.266 (73.414)
Epoch: [78][4590/5005] Time 0.212 (0.209) Data 0.044 (0.048) Loss 2.0706 (2.2595) Prec@1 52.734 (48.159) Prec@5 77.734 (73.413)
Epoch: [78][4600/5005] Time 0.196 (0.209) Data 0.043 (0.048) Loss 2.1173 (2.2595) Prec@1 53.125 (48.158) Prec@5 74.609 (73.412)
Epoch: [78][4610/5005] Time 0.218 (0.209) Data 0.044 (0.048) Loss 2.0403 (2.2596) Prec@1 51.562 (48.156) Prec@5 78.906 (73.412)
Epoch: [78][4620/5005] Time 0.211 (0.209) Data 0.043 (0.048) Loss 2.1115 (2.2595) Prec@1 52.734 (48.158) Prec@5 76.172 (73.412)
Epoch: [78][4630/5005] Time 0.211 (0.209) Data 0.042 (0.048) Loss 2.1110 (2.2594) Prec@1 54.297 (48.160) Prec@5 75.000 (73.413)
Epoch: [78][4640/5005] Time 0.208 (0.209) Data 0.042 (0.048) Loss 2.2592 (2.2594) Prec@1 50.781 (48.160) Prec@5 73.047 (73.414)
Epoch: [78][4650/5005] Time 0.209 (0.209) Data 0.044 (0.048) Loss 2.2950 (2.2593) Prec@1 48.047 (48.163) Prec@5 71.484 (73.415)
Epoch: [78][4660/5005] Time 0.203 (0.209) Data 0.043 (0.048) Loss 2.5262 (2.2593) Prec@1 42.578 (48.161) Prec@5 68.359 (73.413)
Epoch: [78][4670/5005] Time 0.212 (0.209) Data 0.046 (0.048) Loss 2.1946 (2.2592) Prec@1 51.172 (48.165) Prec@5 73.828 (73.416)
Epoch: [78][4680/5005] Time 0.216 (0.209) Data 0.043 (0.048) Loss 2.2308 (2.2591) Prec@1 48.438 (48.166) Prec@5 77.734 (73.417)
Epoch: [78][4690/5005] Time 0.205 (0.209) Data 0.044 (0.048) Loss 2.2350 (2.2591) Prec@1 45.312 (48.164) Prec@5 72.266 (73.416)
Epoch: [78][4700/5005] Time 0.211 (0.209) Data 0.045 (0.048) Loss 2.1611 (2.2590) Prec@1 50.000 (48.168) Prec@5 78.516 (73.416)
Epoch: [78][4710/5005] Time 0.209 (0.209) Data 0.044 (0.048) Loss 2.0861 (2.2589) Prec@1 53.125 (48.172) Prec@5 76.953 (73.419)
Epoch: [78][4720/5005] Time 0.213 (0.209) Data 0.040 (0.048) Loss 2.0468 (2.2587) Prec@1 53.906 (48.175) Prec@5 76.562 (73.421)
Epoch: [78][4730/5005] Time 0.201 (0.209) Data 0.044 (0.048) Loss 2.2110 (2.2588) Prec@1 50.781 (48.173) Prec@5 76.172 (73.418)
Epoch: [78][4740/5005] Time 0.216 (0.209) Data 0.042 (0.048) Loss 2.1912 (2.2588) Prec@1 46.484 (48.175) Prec@5 76.953 (73.420)
Epoch: [78][4750/5005] Time 0.215 (0.209) Data 0.048 (0.048) Loss 2.1542 (2.2587) Prec@1 49.219 (48.176) Prec@5 75.781 (73.421)
Epoch: [78][4760/5005] Time 0.220 (0.209) Data 0.043 (0.048) Loss 2.5211 (2.2586) Prec@1 43.359 (48.178) Prec@5 67.969 (73.422)
Epoch: [78][4770/5005] Time 0.211 (0.209) Data 0.043 (0.048) Loss 2.1218 (2.2585) Prec@1 50.391 (48.179) Prec@5 76.562 (73.423)
Epoch: [78][4780/5005] Time 0.196 (0.209) Data 0.044 (0.048) Loss 2.3097 (2.2584) Prec@1 49.609 (48.180) Prec@5 72.656 (73.423)
Epoch: [78][4790/5005] Time 0.204 (0.209) Data 0.045 (0.048) Loss 2.4890 (2.2585) Prec@1 44.922 (48.182) Prec@5 70.312 (73.422)
Epoch: [78][4800/5005] Time 0.204 (0.209) Data 0.046 (0.048) Loss 2.3814 (2.2583) Prec@1 45.312 (48.184) Prec@5 69.531 (73.425)
Epoch: [78][4810/5005] Time 0.203 (0.209) Data 0.053 (0.048) Loss 2.3719 (2.2582) Prec@1 46.094 (48.184) Prec@5 69.531 (73.426)
Epoch: [78][4820/5005] Time 0.207 (0.209) Data 0.049 (0.048) Loss 2.3936 (2.2581) Prec@1 44.531 (48.186) Prec@5 70.703 (73.430)
Epoch: [78][4830/5005] Time 0.213 (0.209) Data 0.045 (0.048) Loss 2.2724 (2.2580) Prec@1 47.656 (48.189) Prec@5 72.656 (73.431)
Epoch: [78][4840/5005] Time 0.197 (0.209) Data 0.044 (0.048) Loss 2.0091 (2.2580) Prec@1 51.953 (48.188) Prec@5 77.344 (73.430)
Epoch: [78][4850/5005] Time 0.190 (0.209) Data 0.041 (0.048) Loss 2.1602 (2.2581) Prec@1 45.703 (48.186) Prec@5 74.609 (73.429)
Epoch: [78][4860/5005] Time 0.211 (0.209) Data 0.043 (0.048) Loss 2.3465 (2.2580) Prec@1 41.406 (48.186) Prec@5 73.047 (73.428)
Epoch: [78][4870/5005] Time 0.210 (0.209) Data 0.042 (0.048) Loss 2.2139 (2.2581) Prec@1 48.438 (48.187) Prec@5 71.875 (73.427)
Epoch: [78][4880/5005] Time 0.210 (0.209) Data 0.044 (0.048) Loss 2.0778 (2.2580) Prec@1 53.516 (48.190) Prec@5 74.219 (73.429)
Epoch: [78][4890/5005] Time 0.219 (0.209) Data 0.042 (0.048) Loss 2.3088 (2.2579) Prec@1 48.438 (48.190) Prec@5 73.047 (73.430)
Epoch: [78][4900/5005] Time 0.210 (0.209) Data 0.042 (0.048) Loss 2.0868 (2.2578) Prec@1 48.828 (48.191) Prec@5 76.172 (73.433)
Epoch: [78][4910/5005] Time 0.193 (0.209) Data 0.051 (0.048) Loss 2.3771 (2.2577) Prec@1 43.359 (48.193) Prec@5 73.828 (73.436)
Epoch: [78][4920/5005] Time 0.214 (0.209) Data 0.043 (0.048) Loss 2.2146 (2.2577) Prec@1 44.531 (48.193) Prec@5 70.703 (73.435)
Epoch: [78][4930/5005] Time 0.209 (0.209) Data 0.046 (0.048) Loss 2.4238 (2.2576) Prec@1 45.312 (48.195) Prec@5 70.703 (73.437)
Epoch: [78][4940/5005] Time 0.217 (0.209) Data 0.044 (0.048) Loss 2.2512 (2.2576) Prec@1 49.219 (48.197) Prec@5 72.656 (73.438)
Epoch: [78][4950/5005] Time 0.204 (0.209) Data 0.043 (0.048) Loss 1.9363 (2.2576) Prec@1 54.688 (48.196) Prec@5 79.297 (73.438)
Epoch: [78][4960/5005] Time 0.214 (0.209) Data 0.040 (0.048) Loss 2.2648 (2.2575) Prec@1 50.781 (48.200) Prec@5 73.828 (73.442)
Epoch: [78][4970/5005] Time 0.218 (0.209) Data 0.044 (0.048) Loss 2.3112 (2.2574) Prec@1 43.750 (48.200) Prec@5 72.266 (73.444)
Epoch: [78][4980/5005] Time 0.206 (0.209) Data 0.053 (0.048) Loss 2.2002 (2.2572) Prec@1 50.781 (48.203) Prec@5 75.391 (73.447)
Epoch: [78][4990/5005] Time 0.205 (0.209) Data 0.033 (0.048) Loss 2.4378 (2.2573) Prec@1 45.703 (48.201) Prec@5 69.141 (73.447)
Epoch: [78][5000/5005] Time 0.206 (0.209) Data 0.022 (0.048) Loss 2.3734 (2.2573) Prec@1 47.266 (48.203) Prec@5 72.656 (73.449)
Test: [0/196] Time 1.887 (1.887) Loss 2.4482 (2.4482) Prec@1 47.266 (47.266) Prec@5 69.141 (69.141)
Test: [10/196] Time 0.043 (0.309) Loss 2.4929 (2.5499) Prec@1 46.484 (43.537) Prec@5 70.703 (69.212)
Test: [20/196] Time 0.044 (0.233) Loss 2.4124 (2.5574) Prec@1 48.828 (43.694) Prec@5 71.484 (69.141)
Test: [30/196] Time 0.044 (0.209) Loss 2.4375 (2.5592) Prec@1 41.797 (43.586) Prec@5 73.047 (69.052)
Test: [40/196] Time 0.129 (0.207) Loss 2.3348 (2.5564) Prec@1 51.953 (43.912) Prec@5 72.266 (69.207)
Test: [50/196] Time 0.220 (0.194) Loss 2.6249 (2.5597) Prec@1 46.094 (43.934) Prec@5 70.312 (69.301)
Test: [60/196] Time 0.043 (0.193) Loss 2.5170 (2.5464) Prec@1 46.484 (44.102) Prec@5 69.531 (69.506)
Test: [70/196] Time 0.048 (0.189) Loss 2.4602 (2.5411) Prec@1 45.703 (44.031) Prec@5 69.531 (69.515)
Test: [80/196] Time 0.362 (0.189) Loss 2.4159 (2.5481) Prec@1 50.000 (44.083) Prec@5 76.562 (69.435)
Test: [90/196] Time 0.051 (0.187) Loss 2.6325 (2.5517) Prec@1 45.703 (44.145) Prec@5 68.359 (69.433)
Test: [100/196] Time 0.085 (0.186) Loss 2.6122 (2.5489) Prec@1 45.312 (44.392) Prec@5 66.797 (69.392)
Test: [110/196] Time 0.045 (0.188) Loss 2.7193 (2.5518) Prec@1 40.234 (44.450) Prec@5 66.406 (69.383)
Test: [120/196] Time 0.059 (0.182) Loss 2.3381 (2.5497) Prec@1 43.750 (44.541) Prec@5 75.391 (69.334)
Test: [130/196] Time 0.141 (0.183) Loss 2.2542 (2.5449) Prec@1 48.438 (44.567) Prec@5 75.781 (69.418)
Test: [140/196] Time 0.562 (0.187) Loss 2.3449 (2.5468) Prec@1 50.391 (44.515) Prec@5 70.312 (69.351)
Test: [150/196] Time 0.461 (0.184) Loss 2.1732 (2.5466) Prec@1 49.219 (44.503) Prec@5 78.516 (69.399)
Test: [160/196] Time 0.042 (0.185) Loss 2.4878 (2.5445) Prec@1 50.000 (44.522) Prec@5 67.969 (69.424)
Test: [170/196] Time 0.101 (0.181) Loss 2.4787 (2.5456) Prec@1 43.750 (44.536) Prec@5 74.219 (69.433)
Test: [180/196] Time 0.041 (0.181) Loss 2.7853 (2.5512) Prec@1 40.234 (44.432) Prec@5 66.016 (69.320)
Test: [190/196] Time 0.046 (0.180) Loss 2.7416 (2.5537) Prec@1 42.969 (44.359) Prec@5 65.234 (69.214)
* Prec@1 44.362 Prec@5 69.220
Learning rate: 1e-06
Epoch: [79][0/5005] Time 1.038 (1.038) Data 0.946 (0.946) Loss 2.4130 (2.4130) Prec@1 45.312 (45.312) Prec@5 71.875 (71.875)
Epoch: [79][10/5005] Time 0.198 (0.279) Data 0.045 (0.129) Loss 2.1765 (2.3028) Prec@1 51.953 (47.976) Prec@5 74.219 (72.834)
Epoch: [79][20/5005] Time 0.202 (0.242) Data 0.045 (0.092) Loss 2.3150 (2.3061) Prec@1 45.703 (47.173) Prec@5 74.609 (73.047)
Epoch: [79][30/5005] Time 0.206 (0.230) Data 0.042 (0.078) Loss 2.1805 (2.2759) Prec@1 45.703 (47.480) Prec@5 74.609 (73.223)
Epoch: [79][40/5005] Time 0.203 (0.223) Data 0.048 (0.071) Loss 2.0808 (2.2701) Prec@1 50.391 (47.713) Prec@5 73.828 (73.352)
Epoch: [79][50/5005] Time 0.195 (0.219) Data 0.052 (0.066) Loss 2.1126 (2.2673) Prec@1 50.000 (47.626) Prec@5 76.562 (73.438)
Epoch: [79][60/5005] Time 0.203 (0.216) Data 0.046 (0.063) Loss 2.1967 (2.2662) Prec@1 53.516 (47.695) Prec@5 72.656 (73.431)
Epoch: [79][70/5005] Time 0.192 (0.214) Data 0.058 (0.061) Loss 2.2611 (2.2750) Prec@1 44.141 (47.546) Prec@5 76.562 (73.360)
Epoch: [79][80/5005] Time 0.200 (0.213) Data 0.064 (0.060) Loss 2.3041 (2.2743) Prec@1 49.609 (47.449) Prec@5 73.047 (73.389)
Epoch: [79][90/5005] Time 0.205 (0.212) Data 0.047 (0.059) Loss 2.3094 (2.2733) Prec@1 46.484 (47.648) Prec@5 74.609 (73.395)
Epoch: [79][100/5005] Time 0.207 (0.211) Data 0.045 (0.057) Loss 1.9820 (2.2748) Prec@1 51.953 (47.679) Prec@5 77.734 (73.333)
Epoch: [79][110/5005] Time 0.198 (0.210) Data 0.058 (0.057) Loss 2.2754 (2.2778) Prec@1 50.000 (47.808) Prec@5 73.047 (73.247)
Epoch: [79][120/5005] Time 0.199 (0.209) Data 0.047 (0.056) Loss 2.3358 (2.2790) Prec@1 47.656 (47.892) Prec@5 70.703 (73.244)
Epoch: [79][130/5005] Time 0.197 (0.209) Data 0.054 (0.056) Loss 2.4467 (2.2794) Prec@1 46.094 (47.892) Prec@5 71.875 (73.232)
Epoch: [79][140/5005] Time 0.206 (0.208) Data 0.042 (0.055) Loss 2.2341 (2.2750) Prec@1 50.000 (47.950) Prec@5 72.656 (73.327)
Epoch: [79][150/5005] Time 0.191 (0.208) Data 0.049 (0.054) Loss 2.3458 (2.2755) Prec@1 47.266 (48.016) Prec@5 69.922 (73.329)
Epoch: [79][160/5005] Time 0.199 (0.207) Data 0.046 (0.054) Loss 2.2612 (2.2767) Prec@1 49.219 (48.025) Prec@5 73.438 (73.319)
Epoch: [79][170/5005] Time 0.216 (0.208) Data 0.045 (0.054) Loss 2.4030 (2.2785) Prec@1 49.219 (48.038) Prec@5 69.141 (73.250)
Epoch: [79][180/5005] Time 0.210 (0.208) Data 0.051 (0.053) Loss 2.4883 (2.2795) Prec@1 47.656 (48.066) Prec@5 71.094 (73.248)
Epoch: [79][190/5005] Time 0.226 (0.209) Data 0.045 (0.053) Loss 2.3869 (2.2814) Prec@1 43.750 (47.996) Prec@5 67.969 (73.184)
Epoch: [79][200/5005] Time 0.225 (0.209) Data 0.046 (0.053) Loss 2.5047 (2.2829) Prec@1 42.969 (47.969) Prec@5 68.750 (73.113)
Epoch: [79][210/5005] Time 0.216 (0.209) Data 0.046 (0.053) Loss 2.1349 (2.2823) Prec@1 49.609 (47.971) Prec@5 75.000 (73.106)
Epoch: [79][220/5005] Time 0.222 (0.210) Data 0.049 (0.053) Loss 2.3826 (2.2834) Prec@1 46.875 (47.953) Prec@5 72.266 (73.089)
Epoch: [79][230/5005] Time 0.227 (0.210) Data 0.045 (0.053) Loss 2.3282 (2.2818) Prec@1 49.609 (48.022) Prec@5 71.094 (73.113)
Epoch: [79][240/5005] Time 0.217 (0.211) Data 0.043 (0.053) Loss 2.2188 (2.2801) Prec@1 51.562 (48.071) Prec@5 73.828 (73.151)
Epoch: [79][250/5005] Time 0.226 (0.211) Data 0.044 (0.052) Loss 2.2715 (2.2779) Prec@1 49.219 (48.095) Prec@5 75.391 (73.196)
Epoch: [79][260/5005] Time 0.210 (0.211) Data 0.063 (0.052) Loss 2.1866 (2.2770) Prec@1 49.609 (48.099) Prec@5 73.828 (73.246)
Epoch: [79][270/5005] Time 0.224 (0.212) Data 0.043 (0.052) Loss 2.3500 (2.2776) Prec@1 48.047 (48.080) Prec@5 70.703 (73.234)
Epoch: [79][280/5005] Time 0.208 (0.212) Data 0.044 (0.052) Loss 2.7522 (2.2802) Prec@1 41.797 (48.055) Prec@5 62.891 (73.183)
Epoch: [79][290/5005] Time 0.221 (0.212) Data 0.044 (0.052) Loss 2.1930 (2.2825) Prec@1 47.266 (47.992) Prec@5 75.781 (73.109)
Epoch: [79][300/5005] Time 0.217 (0.212) Data 0.047 (0.052) Loss 2.2037 (2.2819) Prec@1 46.875 (48.033) Prec@5 72.656 (73.103)
Epoch: [79][310/5005] Time 0.226 (0.212) Data 0.049 (0.052) Loss 2.1098 (2.2784) Prec@1 50.781 (48.091) Prec@5 73.047 (73.166)
Epoch: [79][320/5005] Time 0.217 (0.212) Data 0.049 (0.052) Loss 2.4752 (2.2793) Prec@1 46.875 (48.093) Prec@5 72.656 (73.167)
Epoch: [79][330/5005] Time 0.218 (0.213) Data 0.068 (0.052) Loss 2.1569 (2.2779) Prec@1 51.172 (48.088) Prec@5 73.828 (73.178)
Epoch: [79][340/5005] Time 0.220 (0.213) Data 0.052 (0.052) Loss 2.1833 (2.2802) Prec@1 48.047 (48.067) Prec@5 75.391 (73.133)
Epoch: [79][350/5005] Time 0.214 (0.213) Data 0.047 (0.052) Loss 2.4457 (2.2790) Prec@1 46.484 (48.088) Prec@5 66.797 (73.147)
Epoch: [79][360/5005] Time 0.218 (0.213) Data 0.043 (0.052) Loss 2.4301 (2.2798) Prec@1 46.484 (48.075) Prec@5 69.141 (73.109)
Epoch: [79][370/5005] Time 0.215 (0.213) Data 0.044 (0.052) Loss 2.3580 (2.2784) Prec@1 44.531 (48.086) Prec@5 70.703 (73.112)
Epoch: [79][380/5005] Time 0.214 (0.213) Data 0.039 (0.052) Loss 2.4367 (2.2797) Prec@1 49.219 (48.074) Prec@5 71.875 (73.077)
Epoch: [79][390/5005] Time 0.218 (0.213) Data 0.041 (0.051) Loss 2.2300 (2.2807) Prec@1 53.906 (48.045) Prec@5 73.828 (73.035)
Epoch: [79][400/5005] Time 0.210 (0.213) Data 0.043 (0.051) Loss 2.1455 (2.2789) Prec@1 47.266 (48.056) Prec@5 77.344 (73.094)
Epoch: [79][410/5005] Time 0.217 (0.213) Data 0.044 (0.051) Loss 2.1944 (2.2790) Prec@1 45.703 (48.033) Prec@5 76.562 (73.094)
Epoch: [79][420/5005] Time 0.218 (0.213) Data 0.044 (0.051) Loss 2.1562 (2.2783) Prec@1 51.172 (48.053) Prec@5 72.266 (73.110)
Epoch: [79][430/5005] Time 0.218 (0.214) Data 0.044 (0.051) Loss 2.2423 (2.2786) Prec@1 48.438 (48.027) Prec@5 74.609 (73.108)
Epoch: [79][440/5005] Time 0.211 (0.214) Data 0.058 (0.051) Loss 2.2842 (2.2781) Prec@1 48.047 (48.025) Prec@5 73.438 (73.116)
Epoch: [79][450/5005] Time 0.223 (0.214) Data 0.043 (0.051) Loss 2.1337 (2.2788) Prec@1 46.875 (47.984) Prec@5 76.172 (73.105)
Epoch: [79][460/5005] Time 0.213 (0.214) Data 0.048 (0.051) Loss 2.3342 (2.2794) Prec@1 46.484 (47.949) Prec@5 71.484 (73.102)
Epoch: [79][470/5005] Time 0.223 (0.214) Data 0.045 (0.051) Loss 2.3123 (2.2805) Prec@1 44.922 (47.932) Prec@5 73.828 (73.086)
Epoch: [79][480/5005] Time 0.215 (0.214) Data 0.052 (0.051) Loss 2.3488 (2.2812) Prec@1 47.266 (47.946) Prec@5 72.266 (73.061)
Epoch: [79][490/5005] Time 0.219 (0.214) Data 0.044 (0.051) Loss 2.0817 (2.2806) Prec@1 53.906 (47.957) Prec@5 77.344 (73.061)
Epoch: [79][500/5005] Time 0.215 (0.214) Data 0.046 (0.050) Loss 2.4553 (2.2824) Prec@1 44.531 (47.956) Prec@5 69.531 (73.017)
Epoch: [79][510/5005] Time 0.211 (0.214) Data 0.049 (0.050) Loss 2.4060 (2.2825) Prec@1 46.484 (47.938) Prec@5 70.703 (73.008)
Epoch: [79][520/5005] Time 0.219 (0.214) Data 0.048 (0.050) Loss 2.2538 (2.2822) Prec@1 46.094 (47.934) Prec@5 75.391 (73.016)
Epoch: [79][530/5005] Time 0.220 (0.214) Data 0.048 (0.050) Loss 2.1842 (2.2824) Prec@1 48.438 (47.928) Prec@5 73.047 (73.013)
Epoch: [79][540/5005] Time 0.214 (0.214) Data 0.043 (0.050) Loss 2.4559 (2.2834) Prec@1 45.312 (47.908) Prec@5 69.531 (72.998)
Epoch: [79][550/5005] Time 0.217 (0.214) Data 0.044 (0.050) Loss 2.2460 (2.2833) Prec@1 49.609 (47.906) Prec@5 76.562 (73.003)
Epoch: [79][560/5005] Time 0.204 (0.214) Data 0.064 (0.050) Loss 2.2700 (2.2830) Prec@1 48.047 (47.912) Prec@5 74.219 (73.034)
Epoch: [79][570/5005] Time 0.212 (0.214) Data 0.047 (0.050) Loss 2.3373 (2.2838) Prec@1 46.875 (47.893) Prec@5 70.703 (73.014)
Epoch: [79][580/5005] Time 0.209 (0.214) Data 0.047 (0.050) Loss 2.3908 (2.2835) Prec@1 44.922 (47.896) Prec@5 70.703 (73.015)
Epoch: [79][590/5005] Time 0.215 (0.214) Data 0.058 (0.050) Loss 2.4353 (2.2835) Prec@1 46.094 (47.882) Prec@5 73.047 (72.997)
Epoch: [79][600/5005] Time 0.219 (0.214) Data 0.044 (0.050) Loss 2.2103 (2.2844) Prec@1 51.953 (47.873) Prec@5 76.172 (72.987)
Epoch: [79][610/5005] Time 0.218 (0.214) Data 0.042 (0.050) Loss 2.2210 (2.2835) Prec@1 47.266 (47.886) Prec@5 73.047 (73.010)
Epoch: [79][620/5005] Time 0.217 (0.214) Data 0.041 (0.050) Loss 2.3411 (2.2828) Prec@1 44.922 (47.898) Prec@5 74.219 (73.024)
Epoch: [79][630/5005] Time 0.218 (0.214) Data 0.043 (0.050) Loss 2.4244 (2.2824) Prec@1 45.703 (47.904) Prec@5 71.484 (73.034)
Epoch: [79][640/5005] Time 0.222 (0.214) Data 0.047 (0.050) Loss 2.2796 (2.2820) Prec@1 44.922 (47.910) Prec@5 74.219 (73.043)
Epoch: [79][650/5005] Time 0.205 (0.214) Data 0.043 (0.050) Loss 2.3975 (2.2828) Prec@1 44.531 (47.903) Prec@5 72.266 (73.050)
Epoch: [79][660/5005] Time 0.212 (0.214) Data 0.046 (0.050) Loss 2.3425 (2.2821) Prec@1 43.359 (47.910) Prec@5 73.047 (73.061)
Epoch: [79][670/5005] Time 0.212 (0.214) Data 0.049 (0.050) Loss 2.4949 (2.2823) Prec@1 45.312 (47.903) Prec@5 68.750 (73.053)
Epoch: [79][680/5005] Time 0.210 (0.214) Data 0.048 (0.050) Loss 2.3686 (2.2824) Prec@1 46.875 (47.907) Prec@5 76.172 (73.046)
Epoch: [79][690/5005] Time 0.215 (0.214) Data 0.047 (0.050) Loss 2.1074 (2.2814) Prec@1 53.125 (47.910) Prec@5 80.469 (73.063)
Epoch: [79][700/5005] Time 0.218 (0.214) Data 0.044 (0.050) Loss 2.2336 (2.2805) Prec@1 49.609 (47.916) Prec@5 72.656 (73.075)
Epoch: [79][710/5005] Time 0.220 (0.214) Data 0.038 (0.050) Loss 2.1968 (2.2802) Prec@1 48.438 (47.916) Prec@5 72.656 (73.073)
Epoch: [79][720/5005] Time 0.214 (0.214) Data 0.042 (0.049) Loss 2.2298 (2.2791) Prec@1 48.438 (47.925) Prec@5 75.781 (73.091)
Epoch: [79][730/5005] Time 0.216 (0.214) Data 0.048 (0.049) Loss 2.4225 (2.2791) Prec@1 44.531 (47.920) Prec@5 71.875 (73.101)
Epoch: [79][740/5005] Time 0.217 (0.214) Data 0.044 (0.049) Loss 2.3771 (2.2792) Prec@1 46.484 (47.920) Prec@5 70.312 (73.091)
Epoch: [79][750/5005] Time 0.217 (0.214) Data 0.044 (0.049) Loss 2.1163 (2.2791) Prec@1 48.828 (47.925) Prec@5 73.828 (73.095)
Epoch: [79][760/5005] Time 0.217 (0.214) Data 0.043 (0.049) Loss 2.2976 (2.2793) Prec@1 44.922 (47.898) Prec@5 76.953 (73.107)
Epoch: [79][770/5005] Time 0.210 (0.214) Data 0.044 (0.049) Loss 2.1194 (2.2781) Prec@1 48.828 (47.917) Prec@5 76.562 (73.139)
Epoch: [79][780/5005] Time 0.211 (0.214) Data 0.042 (0.049) Loss 2.3095 (2.2780) Prec@1 49.609 (47.919) Prec@5 68.750 (73.133)
Epoch: [79][790/5005] Time 0.215 (0.214) Data 0.044 (0.049) Loss 2.1856 (2.2779) Prec@1 47.656 (47.916) Prec@5 72.656 (73.141)
Epoch: [79][800/5005] Time 0.216 (0.214) Data 0.042 (0.049) Loss 2.2208 (2.2776) Prec@1 45.312 (47.906) Prec@5 75.391 (73.144)
Epoch: [79][810/5005] Time 0.211 (0.214) Data 0.044 (0.049) Loss 2.4041 (2.2784) Prec@1 46.094 (47.898) Prec@5 73.828 (73.143)
Epoch: [79][820/5005] Time 0.208 (0.214) Data 0.046 (0.049) Loss 2.3741 (2.2785) Prec@1 47.266 (47.890) Prec@5 71.484 (73.142)
Epoch: [79][830/5005] Time 0.212 (0.214) Data 0.047 (0.049) Loss 2.2327 (2.2785) Prec@1 51.953 (47.904) Prec@5 74.219 (73.137)
Epoch: [79][840/5005] Time 0.210 (0.214) Data 0.045 (0.049) Loss 2.1781 (2.2786) Prec@1 51.172 (47.903) Prec@5 73.047 (73.140)
Epoch: [79][850/5005] Time 0.211 (0.214) Data 0.043 (0.049) Loss 2.5058 (2.2782) Prec@1 44.922 (47.912) Prec@5 69.922 (73.142)
Epoch: [79][860/5005] Time 0.217 (0.214) Data 0.045 (0.049) Loss 2.2689 (2.2781) Prec@1 46.094 (47.918) Prec@5 71.484 (73.138)
Epoch: [79][870/5005] Time 0.217 (0.214) Data 0.044 (0.049) Loss 2.2781 (2.2769) Prec@1 45.312 (47.929) Prec@5 74.219 (73.158)
Epoch: [79][880/5005] Time 0.215 (0.214) Data 0.047 (0.049) Loss 2.2264 (2.2772) Prec@1 44.141 (47.927) Prec@5 74.609 (73.155)
Epoch: [79][890/5005] Time 0.210 (0.214) Data 0.048 (0.049) Loss 2.6121 (2.2770) Prec@1 41.797 (47.932) Prec@5 67.969 (73.150)
Epoch: [79][900/5005] Time 0.211 (0.214) Data 0.051 (0.049) Loss 2.0000 (2.2766) Prec@1 47.656 (47.932) Prec@5 76.172 (73.156)
Epoch: [79][910/5005] Time 0.214 (0.214) Data 0.042 (0.049) Loss 2.2115 (2.2764) Prec@1 48.438 (47.933) Prec@5 73.047 (73.155)
Epoch: [79][920/5005] Time 0.214 (0.214) Data 0.049 (0.049) Loss 2.3574 (2.2758) Prec@1 45.703 (47.938) Prec@5 72.656 (73.160)
Epoch: [79][930/5005] Time 0.214 (0.214) Data 0.044 (0.049) Loss 2.3135 (2.2754) Prec@1 48.047 (47.942) Prec@5 71.875 (73.160)
Epoch: [79][940/5005] Time 0.218 (0.214) Data 0.046 (0.049) Loss 1.9698 (2.2756) Prec@1 52.344 (47.949) Prec@5 78.516 (73.162)
Epoch: [79][950/5005] Time 0.209 (0.214) Data 0.046 (0.049) Loss 2.4006 (2.2765) Prec@1 44.141 (47.943) Prec@5 73.047 (73.151)
Epoch: [79][960/5005] Time 0.217 (0.214) Data 0.043 (0.049) Loss 2.3662 (2.2763) Prec@1 53.125 (47.951) Prec@5 71.094 (73.159)
Epoch: [79][970/5005] Time 0.210 (0.214) Data 0.045 (0.049) Loss 2.2177 (2.2759) Prec@1 46.094 (47.947) Prec@5 75.000 (73.170)
Epoch: [79][980/5005] Time 0.213 (0.214) Data 0.043 (0.049) Loss 2.3518 (2.2757) Prec@1 47.656 (47.960) Prec@5 67.578 (73.167)
Epoch: [79][990/5005] Time 0.207 (0.214) Data 0.043 (0.049) Loss 2.4318 (2.2767) Prec@1 46.484 (47.943) Prec@5 72.266 (73.151)
Epoch: [79][1000/5005] Time 0.215 (0.214) Data 0.042 (0.049) Loss 2.2172 (2.2766) Prec@1 52.344 (47.942) Prec@5 75.000 (73.155)
Epoch: [79][1010/5005] Time 0.203 (0.214) Data 0.043 (0.049) Loss 2.2833 (2.2765) Prec@1 48.047 (47.948) Prec@5 75.000 (73.154)
Epoch: [79][1020/5005] Time 0.213 (0.214) Data 0.048 (0.049) Loss 2.0440 (2.2769) Prec@1 50.000 (47.945) Prec@5 77.344 (73.140)
Epoch: [79][1030/5005] Time 0.195 (0.214) Data 0.061 (0.049) Loss 2.1115 (2.2763) Prec@1 51.562 (47.955) Prec@5 76.172 (73.150)
Epoch: [79][1040/5005] Time 0.200 (0.215) Data 0.043 (0.049) Loss 2.4038 (2.2764) Prec@1 44.531 (47.955) Prec@5 71.875 (73.153)
Epoch: [79][1050/5005] Time 0.201 (0.215) Data 0.053 (0.049) Loss 2.3695 (2.2765) Prec@1 45.703 (47.949) Prec@5 71.484 (73.151)
Epoch: [79][1060/5005] Time 0.211 (0.215) Data 0.046 (0.049) Loss 2.3366 (2.2767) Prec@1 48.828 (47.945) Prec@5 71.484 (73.146)
Epoch: [79][1070/5005] Time 0.215 (0.215) Data 0.043 (0.049) Loss 2.3074 (2.2762) Prec@1 44.531 (47.948) Prec@5 74.609 (73.158)
Epoch: [79][1080/5005] Time 0.203 (0.214) Data 0.042 (0.049) Loss 2.2496 (2.2764) Prec@1 47.656 (47.946) Prec@5 73.047 (73.155)
Epoch: [79][1090/5005] Time 0.204 (0.214) Data 0.057 (0.049) Loss 2.1520 (2.2760) Prec@1 50.391 (47.956) Prec@5 73.047 (73.160)
Epoch: [79][1100/5005] Time 0.212 (0.214) Data 0.059 (0.049) Loss 2.1814 (2.2754) Prec@1 48.438 (47.962) Prec@5 75.000 (73.171)
Epoch: [79][1110/5005] Time 0.204 (0.214) Data 0.056 (0.049) Loss 2.3073 (2.2753) Prec@1 48.047 (47.966) Prec@5 69.922 (73.165)
Epoch: [79][1120/5005] Time 0.205 (0.214) Data 0.043 (0.049) Loss 2.2477 (2.2748) Prec@1 51.172 (47.973) Prec@5 73.828 (73.177)
Epoch: [79][1130/5005] Time 0.217 (0.214) Data 0.043 (0.049) Loss 2.3599 (2.2749) Prec@1 45.703 (47.965) Prec@5 73.047 (73.177)
Epoch: [79][1140/5005] Time 0.216 (0.214) Data 0.044 (0.049) Loss 2.3672 (2.2747) Prec@1 44.531 (47.954) Prec@5 69.141 (73.180)
Epoch: [79][1150/5005] Time 0.212 (0.214) Data 0.044 (0.049) Loss 2.2149 (2.2739) Prec@1 47.266 (47.974) Prec@5 73.438 (73.196)
Epoch: [79][1160/5005] Time 0.196 (0.214) Data 0.042 (0.049) Loss 2.3644 (2.2739) Prec@1 49.219 (47.982) Prec@5 71.875 (73.192)
Epoch: [79][1170/5005] Time 0.212 (0.214) Data 0.042 (0.048) Loss 2.1717 (2.2737) Prec@1 49.609 (47.980) Prec@5 74.219 (73.191)
Epoch: [79][1180/5005] Time 0.212 (0.214) Data 0.042 (0.048) Loss 2.3507 (2.2736) Prec@1 46.875 (47.976) Prec@5 68.750 (73.189)
Epoch: [79][1190/5005] Time 0.206 (0.214) Data 0.042 (0.048) Loss 2.2026 (2.2734) Prec@1 49.609 (47.987) Prec@5 74.609 (73.197)
Epoch: [79][1200/5005] Time 0.208 (0.214) Data 0.043 (0.048) Loss 2.3609 (2.2734) Prec@1 48.828 (47.982) Prec@5 69.531 (73.198)
Epoch: [79][1210/5005] Time 0.211 (0.214) Data 0.043 (0.048) Loss 2.3791 (2.2743) Prec@1 45.703 (47.969) Prec@5 70.312 (73.192)
Epoch: [79][1220/5005] Time 0.212 (0.214) Data 0.055 (0.048) Loss 2.1330 (2.2745) Prec@1 50.391 (47.970) Prec@5 75.391 (73.193)
Epoch: [79][1230/5005] Time 0.210 (0.214) Data 0.042 (0.048) Loss 2.2801 (2.2745) Prec@1 45.312 (47.964) Prec@5 71.484 (73.189)
Epoch: [79][1240/5005] Time 0.197 (0.214) Data 0.057 (0.048) Loss 2.2942 (2.2744) Prec@1 47.656 (47.963) Prec@5 75.000 (73.191)
Epoch: [79][1250/5005] Time 0.208 (0.214) Data 0.047 (0.048) Loss 2.3992 (2.2748) Prec@1 45.703 (47.952) Prec@5 73.047 (73.186)
Epoch: [79][1260/5005] Time 0.205 (0.214) Data 0.050 (0.048) Loss 2.0019 (2.2742) Prec@1 51.953 (47.966) Prec@5 75.391 (73.200)
Epoch: [79][1270/5005] Time 0.214 (0.214) Data 0.061 (0.048) Loss 2.3510 (2.2750) Prec@1 42.969 (47.961) Prec@5 71.094 (73.184)
Epoch: [79][1280/5005] Time 0.212 (0.214) Data 0.044 (0.048) Loss 2.3614 (2.2754) Prec@1 46.094 (47.949) Prec@5 71.875 (73.183)
Epoch: [79][1290/5005] Time 0.206 (0.214) Data 0.062 (0.049) Loss 2.1432 (2.2752) Prec@1 50.781 (47.960) Prec@5 73.047 (73.174)
Epoch: [79][1300/5005] Time 0.215 (0.214) Data 0.049 (0.049) Loss 2.2348 (2.2750) Prec@1 48.047 (47.964) Prec@5 71.875 (73.180)
Epoch: [79][1310/5005] Time 0.203 (0.214) Data 0.047 (0.049) Loss 2.1968 (2.2748) Prec@1 50.391 (47.954) Prec@5 74.609 (73.187)
Epoch: [79][1320/5005] Time 0.208 (0.214) Data 0.045 (0.049) Loss 2.4470 (2.2753) Prec@1 46.094 (47.942) Prec@5 69.531 (73.175)
Epoch: [79][1330/5005] Time 0.217 (0.214) Data 0.052 (0.049) Loss 2.4825 (2.2756) Prec@1 45.703 (47.939) Prec@5 70.312 (73.170)
Epoch: [79][1340/5005] Time 0.202 (0.214) Data 0.046 (0.049) Loss 2.3441 (2.2757) Prec@1 50.781 (47.943) Prec@5 70.703 (73.169)
Epoch: [79][1350/5005] Time 0.210 (0.214) Data 0.049 (0.049) Loss 2.5991 (2.2760) Prec@1 43.750 (47.933) Prec@5 69.922 (73.167)
Epoch: [79][1360/5005] Time 0.216 (0.214) Data 0.048 (0.049) Loss 2.0645 (2.2757) Prec@1 54.297 (47.939) Prec@5 77.734 (73.172)
Epoch: [79][1370/5005] Time 0.216 (0.214) Data 0.046 (0.049) Loss 2.3399 (2.2753) Prec@1 49.609 (47.940) Prec@5 72.656 (73.178)
Epoch: [79][1380/5005] Time 0.203 (0.214) Data 0.048 (0.049) Loss 2.3132 (2.2750) Prec@1 48.047 (47.942) Prec@5 70.703 (73.182)
Epoch: [79][1390/5005] Time 0.220 (0.214) Data 0.050 (0.049) Loss 2.1654 (2.2750) Prec@1 49.219 (47.947) Prec@5 75.391 (73.179)
Epoch: [79][1400/5005] Time 0.200 (0.214) Data 0.062 (0.049) Loss 2.3239 (2.2743) Prec@1 46.094 (47.957) Prec@5 68.750 (73.191)
Epoch: [79][1410/5005] Time 0.214 (0.214) Data 0.044 (0.049) Loss 2.2293 (2.2743) Prec@1 51.172 (47.962) Prec@5 74.609 (73.195)
Epoch: [79][1420/5005] Time 0.211 (0.214) Data 0.042 (0.049) Loss 2.4168 (2.2745) Prec@1 43.359 (47.955) Prec@5 69.141 (73.187)
Epoch: [79][1430/5005] Time 0.213 (0.213) Data 0.042 (0.049) Loss 1.9760 (2.2741) Prec@1 52.344 (47.968) Prec@5 77.734 (73.196)
Epoch: [79][1440/5005] Time 0.199 (0.213) Data 0.047 (0.049) Loss 2.1077 (2.2738) Prec@1 51.953 (47.966) Prec@5 79.688 (73.198)
Epoch: [79][1450/5005] Time 0.212 (0.213) Data 0.043 (0.049) Loss 2.0931 (2.2737) Prec@1 50.781 (47.963) Prec@5 75.781 (73.201)
Epoch: [79][1460/5005] Time 0.209 (0.213) Data 0.043 (0.049) Loss 2.3578 (2.2735) Prec@1 42.969 (47.971) Prec@5 70.312 (73.206)
Epoch: [79][1470/5005] Time 0.214 (0.213) Data 0.043 (0.048) Loss 2.3030 (2.2736) Prec@1 45.703 (47.965) Prec@5 70.703 (73.200)
Epoch: [79][1480/5005] Time 0.216 (0.213) Data 0.042 (0.048) Loss 2.1919 (2.2736) Prec@1 47.656 (47.961) Prec@5 78.125 (73.200)
Epoch: [79][1490/5005] Time 0.212 (0.213) Data 0.042 (0.048) Loss 2.5796 (2.2735) Prec@1 42.188 (47.959) Prec@5 70.312 (73.205)
Epoch: [79][1500/5005] Time 0.213 (0.213) Data 0.043 (0.048) Loss 2.3216 (2.2733) Prec@1 48.047 (47.965) Prec@5 72.266 (73.205)
Epoch: [79][1510/5005] Time 0.212 (0.213) Data 0.043 (0.048) Loss 2.2088 (2.2732) Prec@1 47.266 (47.962) Prec@5 73.438 (73.202)
Epoch: [79][1520/5005] Time 0.210 (0.213) Data 0.043 (0.048) Loss 2.3690 (2.2730) Prec@1 47.266 (47.969) Prec@5 75.391 (73.203)
Epoch: [79][1530/5005] Time 0.212 (0.213) Data 0.043 (0.048) Loss 2.4277 (2.2730) Prec@1 42.969 (47.970) Prec@5 68.359 (73.197)
Epoch: [79][1540/5005] Time 0.210 (0.213) Data 0.049 (0.048) Loss 2.3471 (2.2733) Prec@1 44.922 (47.961) Prec@5 71.094 (73.191)
Epoch: [79][1550/5005] Time 0.214 (0.213) Data 0.060 (0.048) Loss 2.2922 (2.2733) Prec@1 46.875 (47.961) Prec@5 73.047 (73.194)
Epoch: [79][1560/5005] Time 0.204 (0.213) Data 0.062 (0.048) Loss 2.2475 (2.2735) Prec@1 44.922 (47.956) Prec@5 72.266 (73.197)
Epoch: [79][1570/5005] Time 0.212 (0.213) Data 0.045 (0.048) Loss 2.1470 (2.2731) Prec@1 48.047 (47.960) Prec@5 73.828 (73.201)
Epoch: [79][1580/5005] Time 0.205 (0.213) Data 0.049 (0.048) Loss 2.0811 (2.2732) Prec@1 53.125 (47.963) Prec@5 74.609 (73.199)
Epoch: [79][1590/5005] Time 0.212 (0.213) Data 0.042 (0.048) Loss 2.3143 (2.2732) Prec@1 49.609 (47.958) Prec@5 68.359 (73.194)
Epoch: [79][1600/5005] Time 0.211 (0.213) Data 0.044 (0.048) Loss 2.3858 (2.2731) Prec@1 46.484 (47.961) Prec@5 68.359 (73.192)
Epoch: [79][1610/5005] Time 0.212 (0.213) Data 0.044 (0.048) Loss 2.3385 (2.2732) Prec@1 48.438 (47.962) Prec@5 73.047 (73.192)
Epoch: [79][1620/5005] Time 0.211 (0.213) Data 0.045 (0.048) Loss 2.4078 (2.2730) Prec@1 45.703 (47.963) Prec@5 71.875 (73.193)
Epoch: [79][1630/5005] Time 0.215 (0.213) Data 0.047 (0.048) Loss 2.0739 (2.2729) Prec@1 50.391 (47.964) Prec@5 75.391 (73.195)
Epoch: [79][1640/5005] Time 0.210 (0.213) Data 0.053 (0.048) Loss 2.2697 (2.2732) Prec@1 52.734 (47.970) Prec@5 71.094 (73.190)
Epoch: [79][1650/5005] Time 0.201 (0.213) Data 0.065 (0.048) Loss 2.3816 (2.2733) Prec@1 45.312 (47.966) Prec@5 67.969 (73.191)
Epoch: [79][1660/5005] Time 0.218 (0.213) Data 0.051 (0.048) Loss 2.1766 (2.2726) Prec@1 53.125 (47.985) Prec@5 74.609 (73.201)
Epoch: [79][1670/5005] Time 0.200 (0.213) Data 0.059 (0.048) Loss 2.0787 (2.2725) Prec@1 50.781 (47.990) Prec@5 78.125 (73.206)
Epoch: [79][1680/5005] Time 0.214 (0.213) Data 0.047 (0.048) Loss 2.3839 (2.2728) Prec@1 50.781 (47.989) Prec@5 71.875 (73.199)
Epoch: [79][1690/5005] Time 0.214 (0.213) Data 0.048 (0.048) Loss 2.1814 (2.2726) Prec@1 51.953 (47.998) Prec@5 75.000 (73.204)
Epoch: [79][1700/5005] Time 0.208 (0.213) Data 0.042 (0.048) Loss 2.2630 (2.2721) Prec@1 46.875 (48.006) Prec@5 71.484 (73.210)
Epoch: [79][1710/5005] Time 0.212 (0.213) Data 0.047 (0.048) Loss 2.0892 (2.2714) Prec@1 53.125 (48.018) Prec@5 75.000 (73.216)
Epoch: [79][1720/5005] Time 0.212 (0.213) Data 0.053 (0.048) Loss 2.2985 (2.2713) Prec@1 47.656 (48.019) Prec@5 74.219 (73.218)
Epoch: [79][1730/5005] Time 0.210 (0.213) Data 0.053 (0.048) Loss 2.2369 (2.2712) Prec@1 49.609 (48.016) Prec@5 75.781 (73.225)
Epoch: [79][1740/5005] Time 0.208 (0.213) Data 0.046 (0.048) Loss 2.4363 (2.2709) Prec@1 46.484 (48.021) Prec@5 69.141 (73.234)
Epoch: [79][1750/5005] Time 0.208 (0.213) Data 0.046 (0.048) Loss 2.2894 (2.2708) Prec@1 44.922 (48.025) Prec@5 72.656 (73.238)
Epoch: [79][1760/5005] Time 0.206 (0.213) Data 0.049 (0.048) Loss 2.0653 (2.2708) Prec@1 55.078 (48.030) Prec@5 75.000 (73.235)
Epoch: [79][1770/5005] Time 0.209 (0.213) Data 0.047 (0.048) Loss 2.3640 (2.2705) Prec@1 42.578 (48.033) Prec@5 71.484 (73.242)
Epoch: [79][1780/5005] Time 0.211 (0.213) Data 0.044 (0.048) Loss 2.1450 (2.2701) Prec@1 47.656 (48.030) Prec@5 74.609 (73.247)
Epoch: [79][1790/5005] Time 0.200 (0.213) Data 0.039 (0.048) Loss 2.0343 (2.2697) Prec@1 52.734 (48.036) Prec@5 77.734 (73.252)
Epoch: [79][1800/5005] Time 0.218 (0.213) Data 0.041 (0.048) Loss 2.2188 (2.2695) Prec@1 48.438 (48.039) Prec@5 73.828 (73.254)
Epoch: [79][1810/5005] Time 0.206 (0.213) Data 0.042 (0.048) Loss 2.2526 (2.2693) Prec@1 46.875 (48.039) Prec@5 71.484 (73.259)
Epoch: [79][1820/5005] Time 0.217 (0.213) Data 0.043 (0.048) Loss 2.1171 (2.2691) Prec@1 50.391 (48.040) Prec@5 76.953 (73.261)
Epoch: [79][1830/5005] Time 0.208 (0.213) Data 0.044 (0.048) Loss 1.9959 (2.2689) Prec@1 51.953 (48.033) Prec@5 79.297 (73.267)
Epoch: [79][1840/5005] Time 0.212 (0.213) Data 0.045 (0.048) Loss 2.3151 (2.2686) Prec@1 47.656 (48.041) Prec@5 70.312 (73.272)
Epoch: [79][1850/5005] Time 0.205 (0.213) Data 0.046 (0.048) Loss 2.2338 (2.2683) Prec@1 49.219 (48.056) Prec@5 73.438 (73.275)
Epoch: [79][1860/5005] Time 0.214 (0.213) Data 0.043 (0.048) Loss 2.1972 (2.2683) Prec@1 49.219 (48.050) Prec@5 74.219 (73.277)
Epoch: [79][1870/5005] Time 0.213 (0.213) Data 0.043 (0.048) Loss 2.4986 (2.2686) Prec@1 43.359 (48.047) Prec@5 71.875 (73.274)
Epoch: [79][1880/5005] Time 0.196 (0.213) Data 0.042 (0.048) Loss 2.2842 (2.2689) Prec@1 49.219 (48.039) Prec@5 73.438 (73.271)
Epoch: [79][1890/5005] Time 0.207 (0.212) Data 0.046 (0.048) Loss 2.3164 (2.2691) Prec@1 50.781 (48.036) Prec@5 71.875 (73.267)
Epoch: [79][1900/5005] Time 0.209 (0.212) Data 0.043 (0.048) Loss 2.2115 (2.2695) Prec@1 48.828 (48.032) Prec@5 75.391 (73.262)
Epoch: [79][1910/5005] Time 0.209 (0.212) Data 0.043 (0.048) Loss 2.3031 (2.2694) Prec@1 46.484 (48.035) Prec@5 72.266 (73.260)
Epoch: [79][1920/5005] Time 0.209 (0.212) Data 0.047 (0.048) Loss 2.1208 (2.2693) Prec@1 50.391 (48.036) Prec@5 76.172 (73.264)
Epoch: [79][1930/5005] Time 0.209 (0.212) Data 0.043 (0.048) Loss 2.1179 (2.2691) Prec@1 51.562 (48.046) Prec@5 74.219 (73.268)
Epoch: [79][1940/5005] Time 0.209 (0.212) Data 0.041 (0.048) Loss 2.0972 (2.2686) Prec@1 51.562 (48.054) Prec@5 73.438 (73.274)
Epoch: [79][1950/5005] Time 0.206 (0.212) Data 0.048 (0.048) Loss 2.3011 (2.2685) Prec@1 46.875 (48.059) Prec@5 71.484 (73.279)
Epoch: [79][1960/5005] Time 0.207 (0.212) Data 0.041 (0.048) Loss 2.2174 (2.2683) Prec@1 44.531 (48.057) Prec@5 76.562 (73.280)
Epoch: [79][1970/5005] Time 0.211 (0.212) Data 0.044 (0.048) Loss 2.2691 (2.2686) Prec@1 48.047 (48.052) Prec@5 69.922 (73.277)
Epoch: [79][1980/5005] Time 0.207 (0.212) Data 0.047 (0.048) Loss 2.1358 (2.2684) Prec@1 48.828 (48.055) Prec@5 75.000 (73.283)
Epoch: [79][1990/5005] Time 0.205 (0.212) Data 0.052 (0.048) Loss 2.0082 (2.2683) Prec@1 55.078 (48.059) Prec@5 74.609 (73.282)
Epoch: [79][2000/5005] Time 0.206 (0.212) Data 0.049 (0.048) Loss 2.1408 (2.2686) Prec@1 50.781 (48.056) Prec@5 76.172 (73.277)
Epoch: [79][2010/5005] Time 0.205 (0.212) Data 0.046 (0.048) Loss 2.1271 (2.2685) Prec@1 49.609 (48.055) Prec@5 74.609 (73.280)
Epoch: [79][2020/5005] Time 0.209 (0.212) Data 0.046 (0.048) Loss 2.2267 (2.2684) Prec@1 50.000 (48.050) Prec@5 74.219 (73.283)
Epoch: [79][2030/5005] Time 0.204 (0.212) Data 0.043 (0.048) Loss 2.3019 (2.2685) Prec@1 50.391 (48.053) Prec@5 75.000 (73.284)
Epoch: [79][2040/5005] Time 0.206 (0.212) Data 0.049 (0.048) Loss 1.9346 (2.2681) Prec@1 55.859 (48.059) Prec@5 79.688 (73.290)
Epoch: [79][2050/5005] Time 0.196 (0.212) Data 0.046 (0.048) Loss 2.3821 (2.2681) Prec@1 46.875 (48.059) Prec@5 72.656 (73.292)
Epoch: [79][2060/5005] Time 0.204 (0.212) Data 0.050 (0.048) Loss 2.2019 (2.2680) Prec@1 47.656 (48.056) Prec@5 73.828 (73.296)
Epoch: [79][2070/5005] Time 0.216 (0.212) Data 0.043 (0.048) Loss 2.5135 (2.2683) Prec@1 42.969 (48.052) Prec@5 66.406 (73.285)
Epoch: [79][2080/5005] Time 0.215 (0.212) Data 0.043 (0.048) Loss 2.3714 (2.2683) Prec@1 44.922 (48.051) Prec@5 73.047 (73.286)
Epoch: [79][2090/5005] Time 0.208 (0.212) Data 0.050 (0.048) Loss 2.1554 (2.2679) Prec@1 49.219 (48.054) Prec@5 76.562 (73.291)
Epoch: [79][2100/5005] Time 0.210 (0.212) Data 0.044 (0.048) Loss 2.3491 (2.2677) Prec@1 43.359 (48.056) Prec@5 75.391 (73.295)
Epoch: [79][2110/5005] Time 0.205 (0.212) Data 0.047 (0.048) Loss 2.0982 (2.2678) Prec@1 48.047 (48.053) Prec@5 76.172 (73.290)
Epoch: [79][2120/5005] Time 0.207 (0.212) Data 0.048 (0.048) Loss 2.3458 (2.2678) Prec@1 48.438 (48.054) Prec@5 71.484 (73.293)
Epoch: [79][2130/5005] Time 0.212 (0.212) Data 0.051 (0.048) Loss 2.2611 (2.2674) Prec@1 50.000 (48.060) Prec@5 74.609 (73.299)
Epoch: [79][2140/5005] Time 0.214 (0.212) Data 0.044 (0.048) Loss 2.1004 (2.2674) Prec@1 47.266 (48.066) Prec@5 75.781 (73.300)
Epoch: [79][2150/5005] Time 0.205 (0.212) Data 0.058 (0.048) Loss 2.1478 (2.2674) Prec@1 50.781 (48.066) Prec@5 73.047 (73.296)
Epoch: [79][2160/5005] Time 0.208 (0.212) Data 0.058 (0.048) Loss 2.1519 (2.2671) Prec@1 48.047 (48.067) Prec@5 78.125 (73.304)
Epoch: [79][2170/5005] Time 0.209 (0.212) Data 0.045 (0.048) Loss 2.2700 (2.2670) Prec@1 46.875 (48.067) Prec@5 73.047 (73.308)
Epoch: [79][2180/5005] Time 0.211 (0.212) Data 0.043 (0.048) Loss 2.3699 (2.2670) Prec@1 49.609 (48.071) Prec@5 70.312 (73.311)
Epoch: [79][2190/5005] Time 0.218 (0.212) Data 0.044 (0.048) Loss 2.4590 (2.2671) Prec@1 46.875 (48.068) Prec@5 66.406 (73.311)
Epoch: [79][2200/5005] Time 0.220 (0.212) Data 0.047 (0.048) Loss 2.2629 (2.2671) Prec@1 49.609 (48.065) Prec@5 74.219 (73.311)
Epoch: [79][2210/5005] Time 0.207 (0.212) Data 0.043 (0.048) Loss 2.2082 (2.2672) Prec@1 45.703 (48.060) Prec@5 73.438 (73.309)
Epoch: [79][2220/5005] Time 0.212 (0.212) Data 0.043 (0.048) Loss 2.4407 (2.2672) Prec@1 48.047 (48.062) Prec@5 71.484 (73.309)
Epoch: [79][2230/5005] Time 0.200 (0.212) Data 0.042 (0.048) Loss 2.2102 (2.2671) Prec@1 51.953 (48.062) Prec@5 74.609 (73.310)
Epoch: [79][2240/5005] Time 0.213 (0.212) Data 0.043 (0.048) Loss 2.3637 (2.2674) Prec@1 48.047 (48.056) Prec@5 73.047 (73.304)
Epoch: [79][2250/5005] Time 0.199 (0.212) Data 0.050 (0.048) Loss 2.0404 (2.2674) Prec@1 50.391 (48.052) Prec@5 77.344 (73.307)
Epoch: [79][2260/5005] Time 0.203 (0.212) Data 0.056 (0.048) Loss 2.1364 (2.2671) Prec@1 46.875 (48.054) Prec@5 76.562 (73.312)
Epoch: [79][2270/5005] Time 0.210 (0.212) Data 0.043 (0.048) Loss 2.3874 (2.2671) Prec@1 44.922 (48.054) Prec@5 71.484 (73.315)
Epoch: [79][2280/5005] Time 0.201 (0.212) Data 0.059 (0.048) Loss 2.3806 (2.2671) Prec@1 46.484 (48.051) Prec@5 72.656 (73.314)
Epoch: [79][2290/5005] Time 0.207 (0.212) Data 0.046 (0.048) Loss 2.2063 (2.2671) Prec@1 53.125 (48.052) Prec@5 73.047 (73.317)
Epoch: [79][2300/5005] Time 0.209 (0.212) Data 0.048 (0.048) Loss 2.2943 (2.2672) Prec@1 47.656 (48.049) Prec@5 69.922 (73.312)
Epoch: [79][2310/5005] Time 0.207 (0.212) Data 0.046 (0.048) Loss 2.1556 (2.2672) Prec@1 53.125 (48.051) Prec@5 71.875 (73.309)
Epoch: [79][2320/5005] Time 0.211 (0.212) Data 0.058 (0.048) Loss 2.3870 (2.2674) Prec@1 47.656 (48.050) Prec@5 71.484 (73.308)
Epoch: [79][2330/5005] Time 0.212 (0.212) Data 0.051 (0.048) Loss 2.2603 (2.2673) Prec@1 50.781 (48.050) Prec@5 73.047 (73.309)
Epoch: [79][2340/5005] Time 0.208 (0.212) Data 0.046 (0.048) Loss 2.2241 (2.2671) Prec@1 47.266 (48.047) Prec@5 75.000 (73.313)
Epoch: [79][2350/5005] Time 0.201 (0.212) Data 0.054 (0.048) Loss 2.2154 (2.2670) Prec@1 48.828 (48.052) Prec@5 73.828 (73.316)
Epoch: [79][2360/5005] Time 0.203 (0.212) Data 0.047 (0.048) Loss 2.2249 (2.2671) Prec@1 51.953 (48.051) Prec@5 71.875 (73.316)
Epoch: [79][2370/5005] Time 0.208 (0.212) Data 0.049 (0.048) Loss 2.2105 (2.2671) Prec@1 47.266 (48.050) Prec@5 73.047 (73.314)
Epoch: [79][2380/5005] Time 0.209 (0.212) Data 0.048 (0.048) Loss 2.1629 (2.2668) Prec@1 51.953 (48.056) Prec@5 74.219 (73.321)
Epoch: [79][2390/5005] Time 0.219 (0.212) Data 0.044 (0.048) Loss 2.2884 (2.2667) Prec@1 47.656 (48.052) Prec@5 72.656 (73.322)
Epoch: [79][2400/5005] Time 0.200 (0.212) Data 0.042 (0.048) Loss 2.3686 (2.2668) Prec@1 45.703 (48.050) Prec@5 70.312 (73.320)
Epoch: [79][2410/5005] Time 0.202 (0.212) Data 0.047 (0.048) Loss 2.4196 (2.2669) Prec@1 44.922 (48.049) Prec@5 73.438 (73.317)
Epoch: [79][2420/5005] Time 0.207 (0.212) Data 0.059 (0.048) Loss 2.3541 (2.2668) Prec@1 46.484 (48.048) Prec@5 74.219 (73.325)
Epoch: [79][2430/5005] Time 0.221 (0.212) Data 0.047 (0.048) Loss 2.1673 (2.2669) Prec@1 48.438 (48.046) Prec@5 72.656 (73.317)
Epoch: [79][2440/5005] Time 0.213 (0.212) Data 0.046 (0.048) Loss 2.0991 (2.2668) Prec@1 49.609 (48.049) Prec@5 75.781 (73.320)
Epoch: [79][2450/5005] Time 0.214 (0.212) Data 0.044 (0.048) Loss 2.2623 (2.2667) Prec@1 47.656 (48.051) Prec@5 70.312 (73.322)
Epoch: [79][2460/5005] Time 0.213 (0.212) Data 0.045 (0.048) Loss 2.2748 (2.2667) Prec@1 44.922 (48.046) Prec@5 73.438 (73.321)
Epoch: [79][2470/5005] Time 0.208 (0.212) Data 0.042 (0.048) Loss 2.1645 (2.2665) Prec@1 49.219 (48.049) Prec@5 70.703 (73.321)
Epoch: [79][2480/5005] Time 0.208 (0.212) Data 0.043 (0.048) Loss 2.4261 (2.2667) Prec@1 46.875 (48.048) Prec@5 73.438 (73.320)
Epoch: [79][2490/5005] Time 0.211 (0.212) Data 0.041 (0.048) Loss 2.0607 (2.2666) Prec@1 56.250 (48.046) Prec@5 76.953 (73.326)
Epoch: [79][2500/5005] Time 0.206 (0.212) Data 0.045 (0.048) Loss 2.3158 (2.2666) Prec@1 49.219 (48.045) Prec@5 70.703 (73.326)
Epoch: [79][2510/5005] Time 0.209 (0.211) Data 0.047 (0.048) Loss 2.3736 (2.2667) Prec@1 46.094 (48.043) Prec@5 70.312 (73.323)
Epoch: [79][2520/5005] Time 0.219 (0.211) Data 0.041 (0.048) Loss 2.1494 (2.2666) Prec@1 50.391 (48.045) Prec@5 75.000 (73.326)
Epoch: [79][2530/5005] Time 0.208 (0.211) Data 0.047 (0.048) Loss 2.3874 (2.2667) Prec@1 44.531 (48.042) Prec@5 69.531 (73.324)
Epoch: [79][2540/5005] Time 0.205 (0.211) Data 0.060 (0.048) Loss 2.2697 (2.2667) Prec@1 46.484 (48.043) Prec@5 70.703 (73.321)
Epoch: [79][2550/5005] Time 0.212 (0.211) Data 0.044 (0.048) Loss 2.2558 (2.2667) Prec@1 46.875 (48.041) Prec@5 76.562 (73.326)
Epoch: [79][2560/5005] Time 0.201 (0.211) Data 0.042 (0.048) Loss 2.3506 (2.2666) Prec@1 47.266 (48.041) Prec@5 71.875 (73.325)
Epoch: [79][2570/5005] Time 0.204 (0.211) Data 0.059 (0.048) Loss 2.3078 (2.2667) Prec@1 47.266 (48.040) Prec@5 73.047 (73.324)
Epoch: [79][2580/5005] Time 0.202 (0.211) Data 0.058 (0.048) Loss 2.2618 (2.2671) Prec@1 49.609 (48.033) Prec@5 71.484 (73.315)
Epoch: [79][2590/5005] Time 0.199 (0.211) Data 0.043 (0.048) Loss 2.4065 (2.2671) Prec@1 48.438 (48.036) Prec@5 71.875 (73.316)
Epoch: [79][2600/5005] Time 0.204 (0.211) Data 0.046 (0.048) Loss 2.4337 (2.2671) Prec@1 46.875 (48.035) Prec@5 73.438 (73.315)
Epoch: [79][2610/5005] Time 0.211 (0.211) Data 0.049 (0.048) Loss 2.2824 (2.2670) Prec@1 47.656 (48.043) Prec@5 74.219 (73.315)
Epoch: [79][2620/5005] Time 0.203 (0.211) Data 0.056 (0.048) Loss 2.1917 (2.2671) Prec@1 51.172 (48.039) Prec@5 76.562 (73.313)
Epoch: [79][2630/5005] Time 0.201 (0.211) Data 0.052 (0.048) Loss 2.4689 (2.2673) Prec@1 43.750 (48.039) Prec@5 71.875 (73.311)
Epoch: [79][2640/5005] Time 0.199 (0.211) Data 0.042 (0.048) Loss 2.4709 (2.2673) Prec@1 41.797 (48.039) Prec@5 70.312 (73.309)
Epoch: [79][2650/5005] Time 0.202 (0.211) Data 0.057 (0.048) Loss 2.2950 (2.2673) Prec@1 47.656 (48.039) Prec@5 73.047 (73.310)
Epoch: [79][2660/5005] Time 0.204 (0.211) Data 0.042 (0.048) Loss 2.3395 (2.2673) Prec@1 44.141 (48.040) Prec@5 72.266 (73.308)
Epoch: [79][2670/5005] Time 0.212 (0.211) Data 0.045 (0.048) Loss 1.9737 (2.2672) Prec@1 50.781 (48.043) Prec@5 78.125 (73.310)
Epoch: [79][2680/5005] Time 0.206 (0.211) Data 0.041 (0.048) Loss 2.2427 (2.2670) Prec@1 51.172 (48.046) Prec@5 73.438 (73.313)
Epoch: [79][2690/5005] Time 0.209 (0.211) Data 0.064 (0.048) Loss 2.0739 (2.2667) Prec@1 51.562 (48.049) Prec@5 79.688 (73.316)
Epoch: [79][2700/5005] Time 0.215 (0.211) Data 0.045 (0.048) Loss 2.0910 (2.2667) Prec@1 48.828 (48.051) Prec@5 73.047 (73.316)
Epoch: [79][2710/5005] Time 0.202 (0.211) Data 0.049 (0.048) Loss 2.0993 (2.2667) Prec@1 53.516 (48.049) Prec@5 74.609 (73.314)
Epoch: [79][2720/5005] Time 0.194 (0.211) Data 0.051 (0.048) Loss 2.2331 (2.2667) Prec@1 48.438 (48.047) Prec@5 76.172 (73.319)
Epoch: [79][2730/5005] Time 0.214 (0.211) Data 0.042 (0.048) Loss 2.2736 (2.2664) Prec@1 49.609 (48.051) Prec@5 70.703 (73.321)
Epoch: [79][2740/5005] Time 0.209 (0.211) Data 0.044 (0.048) Loss 2.1174 (2.2663) Prec@1 52.734 (48.054) Prec@5 74.219 (73.322)
Epoch: [79][2750/5005] Time 0.212 (0.211) Data 0.043 (0.048) Loss 2.0874 (2.2662) Prec@1 52.344 (48.058) Prec@5 76.953 (73.325)
Epoch: [79][2760/5005] Time 0.190 (0.211) Data 0.041 (0.048) Loss 2.1878 (2.2662) Prec@1 52.734 (48.058) Prec@5 75.000 (73.327)
Epoch: [79][2770/5005] Time 0.195 (0.211) Data 0.045 (0.048) Loss 2.2310 (2.2662) Prec@1 45.312 (48.056) Prec@5 73.438 (73.329)
Epoch: [79][2780/5005] Time 0.210 (0.211) Data 0.043 (0.048) Loss 2.5190 (2.2662) Prec@1 41.797 (48.058) Prec@5 67.969 (73.330)
Epoch: [79][2790/5005] Time 0.214 (0.211) Data 0.043 (0.048) Loss 2.4995 (2.2664) Prec@1 44.531 (48.062) Prec@5 69.141 (73.328)
Epoch: [79][2800/5005] Time 0.213 (0.211) Data 0.044 (0.048) Loss 2.0811 (2.2663) Prec@1 52.734 (48.062) Prec@5 78.125 (73.332)
Epoch: [79][2810/5005] Time 0.209 (0.211) Data 0.045 (0.048) Loss 2.3136 (2.2663) Prec@1 47.656 (48.064) Prec@5 72.266 (73.334)
Epoch: [79][2820/5005] Time 0.206 (0.211) Data 0.057 (0.048) Loss 1.8904 (2.2661) Prec@1 49.609 (48.062) Prec@5 80.469 (73.341)
Epoch: [79][2830/5005] Time 0.205 (0.211) Data 0.054 (0.048) Loss 2.3857 (2.2661) Prec@1 47.266 (48.057) Prec@5 70.312 (73.340)
Epoch: [79][2840/5005] Time 0.201 (0.211) Data 0.059 (0.048) Loss 2.2496 (2.2661) Prec@1 48.828 (48.057) Prec@5 74.609 (73.339)
Epoch: [79][2850/5005] Time 0.204 (0.211) Data 0.042 (0.048) Loss 2.1993 (2.2660) Prec@1 46.484 (48.059) Prec@5 76.172 (73.342)
Epoch: [79][2860/5005] Time 0.197 (0.211) Data 0.043 (0.048) Loss 2.1900 (2.2660) Prec@1 49.219 (48.058) Prec@5 73.828 (73.340)
Epoch: [79][2870/5005] Time 0.212 (0.211) Data 0.043 (0.048) Loss 2.0644 (2.2657) Prec@1 52.344 (48.067) Prec@5 76.562 (73.345)
Epoch: [79][2880/5005] Time 0.208 (0.211) Data 0.049 (0.048) Loss 2.2417 (2.2656) Prec@1 47.266 (48.068) Prec@5 72.656 (73.345)
Epoch: [79][2890/5005] Time 0.215 (0.211) Data 0.045 (0.048) Loss 2.3193 (2.2655) Prec@1 46.484 (48.068) Prec@5 73.828 (73.347)
Epoch: [79][2900/5005] Time 0.201 (0.211) Data 0.051 (0.048) Loss 2.0306 (2.2653) Prec@1 53.516 (48.073) Prec@5 76.953 (73.351)
Epoch: [79][2910/5005] Time 0.214 (0.211) Data 0.044 (0.048) Loss 2.3348 (2.2654) Prec@1 44.531 (48.067) Prec@5 71.875 (73.351)
Epoch: [79][2920/5005] Time 0.215 (0.211) Data 0.045 (0.048) Loss 2.4027 (2.2654) Prec@1 41.797 (48.067) Prec@5 69.922 (73.352)
Epoch: [79][2930/5005] Time 0.199 (0.211) Data 0.058 (0.048) Loss 2.3927 (2.2654) Prec@1 43.359 (48.064) Prec@5 72.266 (73.350)
Epoch: [79][2940/5005] Time 0.209 (0.211) Data 0.058 (0.048) Loss 2.3237 (2.2652) Prec@1 45.312 (48.068) Prec@5 72.266 (73.352)
Epoch: [79][2950/5005] Time 0.215 (0.211) Data 0.043 (0.048) Loss 2.4770 (2.2649) Prec@1 43.359 (48.073) Prec@5 71.875 (73.358)
Epoch: [79][2960/5005] Time 0.193 (0.211) Data 0.043 (0.048) Loss 2.1822 (2.2648) Prec@1 48.828 (48.076) Prec@5 74.609 (73.359)
Epoch: [79][2970/5005] Time 0.198 (0.211) Data 0.044 (0.048) Loss 2.2085 (2.2647) Prec@1 51.953 (48.079) Prec@5 74.609 (73.359)
Epoch: [79][2980/5005] Time 0.207 (0.211) Data 0.053 (0.048) Loss 2.2002 (2.2647) Prec@1 49.219 (48.081) Prec@5 73.438 (73.361)
Epoch: [79][2990/5005] Time 0.200 (0.211) Data 0.043 (0.048) Loss 2.2108 (2.2647) Prec@1 51.172 (48.081) Prec@5 74.609 (73.361)
Epoch: [79][3000/5005] Time 0.199 (0.211) Data 0.061 (0.048) Loss 2.2429 (2.2646) Prec@1 45.312 (48.081) Prec@5 75.781 (73.364)
Epoch: [79][3010/5005] Time 0.208 (0.211) Data 0.045 (0.048) Loss 2.2270 (2.2647) Prec@1 44.531 (48.074) Prec@5 76.562 (73.363)
Epoch: [79][3020/5005] Time 0.209 (0.211) Data 0.044 (0.048) Loss 2.1783 (2.2649) Prec@1 49.219 (48.072) Prec@5 75.781 (73.361)
Epoch: [79][3030/5005] Time 0.210 (0.211) Data 0.043 (0.048) Loss 2.2557 (2.2648) Prec@1 49.609 (48.072) Prec@5 74.609 (73.363)
Epoch: [79][3040/5005] Time 0.205 (0.211) Data 0.042 (0.048) Loss 2.1543 (2.2645) Prec@1 49.219 (48.078) Prec@5 74.609 (73.365)
Epoch: [79][3050/5005] Time 0.214 (0.211) Data 0.043 (0.048) Loss 2.2364 (2.2646) Prec@1 43.750 (48.073) Prec@5 74.609 (73.363)
Epoch: [79][3060/5005] Time 0.211 (0.211) Data 0.048 (0.048) Loss 2.0725 (2.2643) Prec@1 51.953 (48.074) Prec@5 75.000 (73.366)
Epoch: [79][3070/5005] Time 0.217 (0.211) Data 0.042 (0.048) Loss 2.3008 (2.2644) Prec@1 46.875 (48.070) Prec@5 74.219 (73.363)
Epoch: [79][3080/5005] Time 0.211 (0.211) Data 0.047 (0.048) Loss 2.1300 (2.2643) Prec@1 44.922 (48.068) Prec@5 76.953 (73.365)
Epoch: [79][3090/5005] Time 0.205 (0.211) Data 0.056 (0.048) Loss 2.5302 (2.2642) Prec@1 41.406 (48.071) Prec@5 69.531 (73.368)
Epoch: [79][3100/5005] Time 0.201 (0.211) Data 0.043 (0.048) Loss 2.2889 (2.2643) Prec@1 49.609 (48.069) Prec@5 72.656 (73.365)
Epoch: [79][3110/5005] Time 0.203 (0.211) Data 0.042 (0.048) Loss 2.0739 (2.2640) Prec@1 50.000 (48.074) Prec@5 76.562 (73.370)
Epoch: [79][3120/5005] Time 0.220 (0.211) Data 0.045 (0.048) Loss 2.4430 (2.2641) Prec@1 40.625 (48.072) Prec@5 67.578 (73.366)
Epoch: [79][3130/5005] Time 0.207 (0.211) Data 0.042 (0.048) Loss 2.4535 (2.2640) Prec@1 44.141 (48.080) Prec@5 70.703 (73.370)
Epoch: [79][3140/5005] Time 0.204 (0.211) Data 0.043 (0.048) Loss 2.0127 (2.2637) Prec@1 53.906 (48.087) Prec@5 75.000 (73.373)
Epoch: [79][3150/5005] Time 0.211 (0.211) Data 0.042 (0.048) Loss 2.3408 (2.2636) Prec@1 49.219 (48.089) Prec@5 74.609 (73.372)
Epoch: [79][3160/5005] Time 0.212 (0.211) Data 0.043 (0.048) Loss 2.0393 (2.2637) Prec@1 51.953 (48.092) Prec@5 78.125 (73.370)
Epoch: [79][3170/5005] Time 0.211 (0.211) Data 0.044 (0.048) Loss 2.3140 (2.2637) Prec@1 46.484 (48.093) Prec@5 74.219 (73.369)
Epoch: [79][3180/5005] Time 0.209 (0.211) Data 0.042 (0.048) Loss 2.1721 (2.2637) Prec@1 53.125 (48.095) Prec@5 71.875 (73.370)
Epoch: [79][3190/5005] Time 0.210 (0.211) Data 0.040 (0.048) Loss 2.3363 (2.2638) Prec@1 47.656 (48.095) Prec@5 68.750 (73.369)
Epoch: [79][3200/5005] Time 0.213 (0.211) Data 0.044 (0.048) Loss 2.2550 (2.2638) Prec@1 46.484 (48.097) Prec@5 74.219 (73.369)
Epoch: [79][3210/5005] Time 0.199 (0.211) Data 0.046 (0.048) Loss 2.4713 (2.2638) Prec@1 45.703 (48.099) Prec@5 71.875 (73.369)
Epoch: [79][3220/5005] Time 0.211 (0.211) Data 0.047 (0.048) Loss 2.3279 (2.2638) Prec@1 52.734 (48.103) Prec@5 70.312 (73.369)
Epoch: [79][3230/5005] Time 0.213 (0.211) Data 0.052 (0.048) Loss 2.1320 (2.2636) Prec@1 52.734 (48.110) Prec@5 74.609 (73.374)
Epoch: [79][3240/5005] Time 0.214 (0.211) Data 0.046 (0.048) Loss 2.5532 (2.2639) Prec@1 45.312 (48.106) Prec@5 66.797 (73.367)
Epoch: [79][3250/5005] Time 0.216 (0.211) Data 0.046 (0.048) Loss 2.2223 (2.2639) Prec@1 44.922 (48.104) Prec@5 76.172 (73.364)
Epoch: [79][3260/5005] Time 0.214 (0.211) Data 0.044 (0.048) Loss 2.2091 (2.2639) Prec@1 46.875 (48.103) Prec@5 74.219 (73.366)
Epoch: [79][3270/5005] Time 0.213 (0.211) Data 0.042 (0.048) Loss 2.4009 (2.2639) Prec@1 47.266 (48.102) Prec@5 71.094 (73.367)
Epoch: [79][3280/5005] Time 0.207 (0.211) Data 0.046 (0.048) Loss 2.3064 (2.2639) Prec@1 48.828 (48.103) Prec@5 72.656 (73.369)
Epoch: [79][3290/5005] Time 0.214 (0.211) Data 0.043 (0.048) Loss 2.3350 (2.2638) Prec@1 45.703 (48.106) Prec@5 71.484 (73.372)
Epoch: [79][3300/5005] Time 0.205 (0.211) Data 0.046 (0.048) Loss 2.1906 (2.2639) Prec@1 46.094 (48.105) Prec@5 76.172 (73.370)
Epoch: [79][3310/5005] Time 0.205 (0.211) Data 0.044 (0.048) Loss 2.1711 (2.2637) Prec@1 44.531 (48.108) Prec@5 74.609 (73.370)
Epoch: [79][3320/5005] Time 0.214 (0.211) Data 0.048 (0.048) Loss 2.2371 (2.2637) Prec@1 48.047 (48.106) Prec@5 73.047 (73.370)
Epoch: [79][3330/5005] Time 0.208 (0.211) Data 0.051 (0.048) Loss 2.2767 (2.2638) Prec@1 48.828 (48.104) Prec@5 74.219 (73.368)
Epoch: [79][3340/5005] Time 0.197 (0.211) Data 0.051 (0.048) Loss 2.3193 (2.2637) Prec@1 48.047 (48.107) Prec@5 69.922 (73.369)
Epoch: [79][3350/5005] Time 0.208 (0.211) Data 0.043 (0.048) Loss 2.4160 (2.2637) Prec@1 48.047 (48.100) Prec@5 72.656 (73.369)
Epoch: [79][3360/5005] Time 0.214 (0.211) Data 0.043 (0.048) Loss 2.0432 (2.2636) Prec@1 52.344 (48.103) Prec@5 78.516 (73.373)
Epoch: [79][3370/5005] Time 0.212 (0.211) Data 0.042 (0.048) Loss 2.4699 (2.2638) Prec@1 45.312 (48.100) Prec@5 70.312 (73.371)
Epoch: [79][3380/5005] Time 0.208 (0.211) Data 0.044 (0.048) Loss 2.2909 (2.2637) Prec@1 47.656 (48.100) Prec@5 72.656 (73.371)
Epoch: [79][3390/5005] Time 0.205 (0.211) Data 0.040 (0.048) Loss 2.2153 (2.2639) Prec@1 50.391 (48.098) Prec@5 71.484 (73.364)
Epoch: [79][3400/5005] Time 0.208 (0.211) Data 0.043 (0.048) Loss 2.0906 (2.2639) Prec@1 53.516 (48.101) Prec@5 78.906 (73.366)
Epoch: [79][3410/5005] Time 0.210 (0.211) Data 0.043 (0.048) Loss 2.0826 (2.2637) Prec@1 50.391 (48.102) Prec@5 78.906 (73.369)
Epoch: [79][3420/5005] Time 0.210 (0.211) Data 0.044 (0.048) Loss 2.1856 (2.2636) Prec@1 49.609 (48.100) Prec@5 73.438 (73.368)
Epoch: [79][3430/5005] Time 0.201 (0.211) Data 0.049 (0.048) Loss 2.2736 (2.2636) Prec@1 48.438 (48.102) Prec@5 70.312 (73.372)
Epoch: [79][3440/5005] Time 0.204 (0.211) Data 0.057 (0.048) Loss 2.3162 (2.2634) Prec@1 47.266 (48.103) Prec@5 70.703 (73.373)
Epoch: [79][3450/5005] Time 0.203 (0.211) Data 0.055 (0.048) Loss 2.1214 (2.2633) Prec@1 46.094 (48.101) Prec@5 73.828 (73.375)
Epoch: [79][3460/5005] Time 0.210 (0.211) Data 0.042 (0.048) Loss 2.2785 (2.2634) Prec@1 47.266 (48.099) Prec@5 71.875 (73.375)
Epoch: [79][3470/5005] Time 0.206 (0.211) Data 0.051 (0.048) Loss 2.0824 (2.2633) Prec@1 51.953 (48.103) Prec@5 74.219 (73.377)
Epoch: [79][3480/5005] Time 0.209 (0.211) Data 0.051 (0.048) Loss 2.2912 (2.2630) Prec@1 47.266 (48.106) Prec@5 74.609 (73.381)
Epoch: [79][3490/5005] Time 0.199 (0.211) Data 0.048 (0.048) Loss 2.3720 (2.2629) Prec@1 45.312 (48.108) Prec@5 72.266 (73.382)
Epoch: [79][3500/5005] Time 0.202 (0.211) Data 0.044 (0.048) Loss 2.0813 (2.2630) Prec@1 52.734 (48.106) Prec@5 79.688 (73.382)
Epoch: [79][3510/5005] Time 0.203 (0.211) Data 0.047 (0.048) Loss 2.0394 (2.2628) Prec@1 48.438 (48.107) Prec@5 76.562 (73.384)
Epoch: [79][3520/5005] Time 0.203 (0.211) Data 0.064 (0.048) Loss 2.3953 (2.2628) Prec@1 48.828 (48.107) Prec@5 70.312 (73.384)
Epoch: [79][3530/5005] Time 0.204 (0.211) Data 0.052 (0.048) Loss 2.1565 (2.2627) Prec@1 51.953 (48.112) Prec@5 75.391 (73.385)
Epoch: [79][3540/5005] Time 0.213 (0.211) Data 0.054 (0.048) Loss 2.1522 (2.2626) Prec@1 48.438 (48.116) Prec@5 76.172 (73.388)
Epoch: [79][3550/5005] Time 0.210 (0.211) Data 0.048 (0.048) Loss 2.3039 (2.2625) Prec@1 45.312 (48.118) Prec@5 71.484 (73.389)
Epoch: [79][3560/5005] Time 0.211 (0.211) Data 0.044 (0.048) Loss 2.3820 (2.2625) Prec@1 42.188 (48.117) Prec@5 74.219 (73.393)
Epoch: [79][3570/5005] Time 0.218 (0.211) Data 0.047 (0.048) Loss 2.2688 (2.2625) Prec@1 51.172 (48.118) Prec@5 73.438 (73.392)
Epoch: [79][3580/5005] Time 0.215 (0.211) Data 0.051 (0.048) Loss 2.1205 (2.2625) Prec@1 51.953 (48.118) Prec@5 74.219 (73.393)
Epoch: [79][3590/5005] Time 0.197 (0.211) Data 0.050 (0.048) Loss 2.2465 (2.2622) Prec@1 44.922 (48.123) Prec@5 71.875 (73.396)
Epoch: [79][3600/5005] Time 0.215 (0.211) Data 0.044 (0.048) Loss 2.3192 (2.2620) Prec@1 48.438 (48.124) Prec@5 71.094 (73.395)
Epoch: [79][3610/5005] Time 0.200 (0.211) Data 0.048 (0.048) Loss 2.1582 (2.2621) Prec@1 52.344 (48.123) Prec@5 75.000 (73.394)
Epoch: [79][3620/5005] Time 0.206 (0.211) Data 0.049 (0.048) Loss 2.3589 (2.2619) Prec@1 45.312 (48.127) Prec@5 70.312 (73.397)
Epoch: [79][3630/5005] Time 0.211 (0.210) Data 0.040 (0.048) Loss 2.5517 (2.2619) Prec@1 44.141 (48.128) Prec@5 67.969 (73.396)
Epoch: [79][3640/5005] Time 0.208 (0.210) Data 0.046 (0.048) Loss 2.2942 (2.2618) Prec@1 44.531 (48.132) Prec@5 72.266 (73.397)
Epoch: [79][3650/5005] Time 0.207 (0.210) Data 0.045 (0.048) Loss 2.2006 (2.2619) Prec@1 46.484 (48.129) Prec@5 73.438 (73.396)
Epoch: [79][3660/5005] Time 0.204 (0.210) Data 0.057 (0.048) Loss 2.2268 (2.2617) Prec@1 46.094 (48.129) Prec@5 74.219 (73.400)
Epoch: [79][3670/5005] Time 0.213 (0.210) Data 0.052 (0.048) Loss 2.3602 (2.2618) Prec@1 49.219 (48.129) Prec@5 69.531 (73.397)
Epoch: [79][3680/5005] Time 0.202 (0.210) Data 0.051 (0.048) Loss 2.1284 (2.2618) Prec@1 52.344 (48.130) Prec@5 76.172 (73.397)
Epoch: [79][3690/5005] Time 0.206 (0.210) Data 0.050 (0.048) Loss 2.0740 (2.2618) Prec@1 47.656 (48.131) Prec@5 76.562 (73.398)
Epoch: [79][3700/5005] Time 0.199 (0.210) Data 0.043 (0.048) Loss 2.0842 (2.2618) Prec@1 57.031 (48.135) Prec@5 75.781 (73.398)
Epoch: [79][3710/5005] Time 0.213 (0.210) Data 0.049 (0.048) Loss 2.1149 (2.2618) Prec@1 53.516 (48.135) Prec@5 75.781 (73.397)
Epoch: [79][3720/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.4404 (2.2618) Prec@1 47.656 (48.135) Prec@5 66.016 (73.397)
Epoch: [79][3730/5005] Time 0.207 (0.210) Data 0.049 (0.048) Loss 2.0497 (2.2617) Prec@1 53.516 (48.138) Prec@5 75.391 (73.398)
Epoch: [79][3740/5005] Time 0.197 (0.210) Data 0.044 (0.048) Loss 2.2965 (2.2615) Prec@1 49.219 (48.144) Prec@5 71.484 (73.399)
Epoch: [79][3750/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.1712 (2.2616) Prec@1 50.000 (48.144) Prec@5 74.219 (73.399)
Epoch: [79][3760/5005] Time 0.206 (0.210) Data 0.049 (0.048) Loss 2.2458 (2.2616) Prec@1 48.438 (48.144) Prec@5 73.438 (73.400)
Epoch: [79][3770/5005] Time 0.211 (0.210) Data 0.045 (0.048) Loss 2.2428 (2.2614) Prec@1 46.484 (48.146) Prec@5 72.656 (73.402)
Epoch: [79][3780/5005] Time 0.218 (0.210) Data 0.046 (0.048) Loss 2.1937 (2.2614) Prec@1 49.609 (48.145) Prec@5 71.875 (73.400)
Epoch: [79][3790/5005] Time 0.192 (0.210) Data 0.051 (0.048) Loss 2.3284 (2.2613) Prec@1 45.312 (48.144) Prec@5 72.266 (73.402)
Epoch: [79][3800/5005] Time 0.205 (0.210) Data 0.049 (0.048) Loss 2.2862 (2.2615) Prec@1 45.703 (48.142) Prec@5 73.047 (73.399)
Epoch: [79][3810/5005] Time 0.207 (0.210) Data 0.045 (0.048) Loss 2.1962 (2.2615) Prec@1 48.047 (48.142) Prec@5 73.047 (73.399)
Epoch: [79][3820/5005] Time 0.206 (0.210) Data 0.047 (0.048) Loss 2.1756 (2.2613) Prec@1 48.438 (48.145) Prec@5 75.781 (73.402)
Epoch: [79][3830/5005] Time 0.202 (0.210) Data 0.041 (0.048) Loss 2.1674 (2.2611) Prec@1 49.219 (48.151) Prec@5 76.562 (73.405)
Epoch: [79][3840/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.3179 (2.2612) Prec@1 46.875 (48.148) Prec@5 68.359 (73.402)
Epoch: [79][3850/5005] Time 0.205 (0.210) Data 0.043 (0.048) Loss 2.3012 (2.2612) Prec@1 49.219 (48.146) Prec@5 72.656 (73.404)
Epoch: [79][3860/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.0740 (2.2611) Prec@1 55.078 (48.151) Prec@5 74.609 (73.403)
Epoch: [79][3870/5005] Time 0.202 (0.210) Data 0.048 (0.048) Loss 2.2336 (2.2611) Prec@1 47.266 (48.147) Prec@5 71.094 (73.403)
Epoch: [79][3880/5005] Time 0.208 (0.210) Data 0.065 (0.048) Loss 2.2312 (2.2611) Prec@1 49.219 (48.146) Prec@5 71.875 (73.403)
Epoch: [79][3890/5005] Time 0.198 (0.210) Data 0.063 (0.048) Loss 2.4647 (2.2611) Prec@1 47.266 (48.150) Prec@5 69.141 (73.405)
Epoch: [79][3900/5005] Time 0.204 (0.210) Data 0.048 (0.048) Loss 2.5566 (2.2611) Prec@1 41.797 (48.147) Prec@5 69.922 (73.404)
Epoch: [79][3910/5005] Time 0.205 (0.210) Data 0.059 (0.048) Loss 2.2033 (2.2611) Prec@1 47.656 (48.146) Prec@5 77.344 (73.404)
Epoch: [79][3920/5005] Time 0.211 (0.210) Data 0.042 (0.048) Loss 2.2008 (2.2610) Prec@1 46.875 (48.144) Prec@5 75.391 (73.405)
Epoch: [79][3930/5005] Time 0.210 (0.210) Data 0.054 (0.048) Loss 2.1963 (2.2608) Prec@1 46.875 (48.147) Prec@5 73.828 (73.408)
Epoch: [79][3940/5005] Time 0.205 (0.210) Data 0.052 (0.048) Loss 2.2334 (2.2608) Prec@1 53.516 (48.149) Prec@5 72.656 (73.406)
Epoch: [79][3950/5005] Time 0.219 (0.210) Data 0.048 (0.048) Loss 2.0642 (2.2606) Prec@1 53.906 (48.155) Prec@5 76.953 (73.413)
Epoch: [79][3960/5005] Time 0.214 (0.210) Data 0.058 (0.048) Loss 2.1959 (2.2605) Prec@1 50.000 (48.156) Prec@5 73.828 (73.413)
Epoch: [79][3970/5005] Time 0.212 (0.210) Data 0.051 (0.048) Loss 2.2027 (2.2604) Prec@1 51.562 (48.157) Prec@5 72.656 (73.413)
Epoch: [79][3980/5005] Time 0.206 (0.210) Data 0.048 (0.048) Loss 2.1003 (2.2604) Prec@1 48.047 (48.159) Prec@5 73.438 (73.414)
Epoch: [79][3990/5005] Time 0.211 (0.210) Data 0.042 (0.048) Loss 2.2528 (2.2604) Prec@1 50.000 (48.157) Prec@5 74.219 (73.413)
Epoch: [79][4000/5005] Time 0.204 (0.210) Data 0.058 (0.048) Loss 2.2019 (2.2604) Prec@1 47.656 (48.158) Prec@5 74.219 (73.413)
Epoch: [79][4010/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.2050 (2.2602) Prec@1 48.047 (48.161) Prec@5 75.000 (73.418)
Epoch: [79][4020/5005] Time 0.214 (0.210) Data 0.044 (0.048) Loss 2.4328 (2.2602) Prec@1 41.016 (48.158) Prec@5 69.531 (73.417)
Epoch: [79][4030/5005] Time 0.206 (0.210) Data 0.043 (0.048) Loss 2.4012 (2.2604) Prec@1 46.094 (48.154) Prec@5 71.484 (73.414)
Epoch: [79][4040/5005] Time 0.214 (0.210) Data 0.043 (0.048) Loss 2.3526 (2.2606) Prec@1 48.828 (48.151) Prec@5 67.969 (73.411)
Epoch: [79][4050/5005] Time 0.207 (0.210) Data 0.044 (0.048) Loss 2.4001 (2.2605) Prec@1 43.750 (48.152) Prec@5 71.094 (73.415)
Epoch: [79][4060/5005] Time 0.214 (0.210) Data 0.045 (0.048) Loss 2.2830 (2.2605) Prec@1 48.828 (48.153) Prec@5 69.531 (73.416)
Epoch: [79][4070/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.3636 (2.2605) Prec@1 49.219 (48.155) Prec@5 71.094 (73.417)
Epoch: [79][4080/5005] Time 0.211 (0.210) Data 0.042 (0.048) Loss 2.2200 (2.2605) Prec@1 48.828 (48.156) Prec@5 73.047 (73.415)
Epoch: [79][4090/5005] Time 0.195 (0.210) Data 0.049 (0.048) Loss 2.4519 (2.2605) Prec@1 45.312 (48.155) Prec@5 69.922 (73.416)
Epoch: [79][4100/5005] Time 0.204 (0.210) Data 0.045 (0.048) Loss 2.1544 (2.2603) Prec@1 47.266 (48.157) Prec@5 75.391 (73.416)
Epoch: [79][4110/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.4842 (2.2604) Prec@1 40.625 (48.154) Prec@5 71.875 (73.417)
Epoch: [79][4120/5005] Time 0.208 (0.210) Data 0.042 (0.048) Loss 2.3523 (2.2602) Prec@1 44.922 (48.154) Prec@5 70.703 (73.419)
Epoch: [79][4130/5005] Time 0.207 (0.210) Data 0.052 (0.048) Loss 2.3759 (2.2602) Prec@1 46.875 (48.156) Prec@5 71.484 (73.419)
Epoch: [79][4140/5005] Time 0.207 (0.210) Data 0.046 (0.048) Loss 2.3360 (2.2601) Prec@1 49.219 (48.161) Prec@5 69.922 (73.418)
Epoch: [79][4150/5005] Time 0.204 (0.210) Data 0.043 (0.048) Loss 2.4736 (2.2602) Prec@1 46.484 (48.158) Prec@5 73.047 (73.419)
Epoch: [79][4160/5005] Time 0.206 (0.210) Data 0.045 (0.048) Loss 2.2041 (2.2602) Prec@1 50.391 (48.161) Prec@5 73.828 (73.419)
Epoch: [79][4170/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.1426 (2.2601) Prec@1 46.094 (48.164) Prec@5 76.172 (73.421)
Epoch: [79][4180/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.1227 (2.2599) Prec@1 52.344 (48.170) Prec@5 75.781 (73.424)
Epoch: [79][4190/5005] Time 0.211 (0.210) Data 0.047 (0.048) Loss 2.2149 (2.2600) Prec@1 48.438 (48.171) Prec@5 69.531 (73.423)
Epoch: [79][4200/5005] Time 0.205 (0.210) Data 0.047 (0.048) Loss 2.2279 (2.2599) Prec@1 48.438 (48.173) Prec@5 72.266 (73.424)
Epoch: [79][4210/5005] Time 0.188 (0.210) Data 0.057 (0.048) Loss 2.1731 (2.2599) Prec@1 47.656 (48.172) Prec@5 78.125 (73.424)
Epoch: [79][4220/5005] Time 0.209 (0.210) Data 0.047 (0.048) Loss 2.4186 (2.2600) Prec@1 45.312 (48.171) Prec@5 72.656 (73.425)
Epoch: [79][4230/5005] Time 0.213 (0.210) Data 0.046 (0.048) Loss 2.3015 (2.2599) Prec@1 48.828 (48.171) Prec@5 74.609 (73.425)
Epoch: [79][4240/5005] Time 0.211 (0.210) Data 0.048 (0.048) Loss 2.1159 (2.2600) Prec@1 51.172 (48.168) Prec@5 76.953 (73.424)
Epoch: [79][4250/5005] Time 0.219 (0.210) Data 0.043 (0.048) Loss 2.1572 (2.2599) Prec@1 47.266 (48.168) Prec@5 74.609 (73.424)
Epoch: [79][4260/5005] Time 0.206 (0.210) Data 0.046 (0.048) Loss 2.1183 (2.2598) Prec@1 50.781 (48.171) Prec@5 77.344 (73.421)
Epoch: [79][4270/5005] Time 0.202 (0.210) Data 0.040 (0.048) Loss 2.3903 (2.2600) Prec@1 46.875 (48.171) Prec@5 70.703 (73.420)
Epoch: [79][4280/5005] Time 0.205 (0.210) Data 0.041 (0.048) Loss 2.3114 (2.2599) Prec@1 48.828 (48.174) Prec@5 75.000 (73.417)
Epoch: [79][4290/5005] Time 0.218 (0.210) Data 0.047 (0.048) Loss 2.4884 (2.2600) Prec@1 44.531 (48.171) Prec@5 69.531 (73.418)
Epoch: [79][4300/5005] Time 0.207 (0.210) Data 0.044 (0.048) Loss 2.0032 (2.2598) Prec@1 52.344 (48.177) Prec@5 77.344 (73.420)
Epoch: [79][4310/5005] Time 0.208 (0.210) Data 0.042 (0.048) Loss 2.1625 (2.2597) Prec@1 50.391 (48.180) Prec@5 76.953 (73.422)
Epoch: [79][4320/5005] Time 0.206 (0.210) Data 0.044 (0.048) Loss 2.3180 (2.2597) Prec@1 44.531 (48.178) Prec@5 73.047 (73.421)
Epoch: [79][4330/5005] Time 0.207 (0.210) Data 0.045 (0.048) Loss 2.1337 (2.2596) Prec@1 46.094 (48.177) Prec@5 75.000 (73.423)
Epoch: [79][4340/5005] Time 0.216 (0.210) Data 0.044 (0.048) Loss 2.2741 (2.2597) Prec@1 46.484 (48.174) Prec@5 71.484 (73.423)
Epoch: [79][4350/5005] Time 0.203 (0.210) Data 0.057 (0.048) Loss 2.3815 (2.2597) Prec@1 47.656 (48.177) Prec@5 70.312 (73.423)
Epoch: [79][4360/5005] Time 0.209 (0.210) Data 0.041 (0.048) Loss 1.9917 (2.2595) Prec@1 51.562 (48.177) Prec@5 76.562 (73.425)
Epoch: [79][4370/5005] Time 0.205 (0.210) Data 0.048 (0.048) Loss 2.2105 (2.2595) Prec@1 50.000 (48.179) Prec@5 72.656 (73.426)
Epoch: [79][4380/5005] Time 0.215 (0.210) Data 0.043 (0.048) Loss 2.2540 (2.2595) Prec@1 46.484 (48.177) Prec@5 73.828 (73.428)
Epoch: [79][4390/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.2541 (2.2593) Prec@1 52.344 (48.184) Prec@5 75.000 (73.430)
Epoch: [79][4400/5005] Time 0.210 (0.210) Data 0.049 (0.048) Loss 2.1514 (2.2592) Prec@1 48.047 (48.186) Prec@5 76.953 (73.433)
Epoch: [79][4410/5005] Time 0.201 (0.210) Data 0.062 (0.048) Loss 2.3181 (2.2592) Prec@1 45.312 (48.185) Prec@5 71.094 (73.432)
Epoch: [79][4420/5005] Time 0.212 (0.210) Data 0.045 (0.048) Loss 1.9545 (2.2591) Prec@1 52.344 (48.187) Prec@5 76.172 (73.432)
Epoch: [79][4430/5005] Time 0.209 (0.210) Data 0.045 (0.048) Loss 2.2571 (2.2589) Prec@1 43.359 (48.191) Prec@5 74.609 (73.435)
Epoch: [79][4440/5005] Time 0.208 (0.210) Data 0.043 (0.048) Loss 2.3734 (2.2589) Prec@1 47.656 (48.191) Prec@5 73.438 (73.435)
Epoch: [79][4450/5005] Time 0.209 (0.210) Data 0.054 (0.048) Loss 2.0348 (2.2589) Prec@1 47.266 (48.189) Prec@5 77.344 (73.435)
Epoch: [79][4460/5005] Time 0.207 (0.210) Data 0.043 (0.048) Loss 2.2346 (2.2587) Prec@1 50.000 (48.192) Prec@5 73.047 (73.435)
Epoch: [79][4470/5005] Time 0.206 (0.210) Data 0.044 (0.048) Loss 2.1097 (2.2588) Prec@1 46.875 (48.190) Prec@5 75.391 (73.434)
Epoch: [79][4480/5005] Time 0.211 (0.210) Data 0.046 (0.048) Loss 2.1360 (2.2589) Prec@1 48.438 (48.188) Prec@5 74.609 (73.431)
Epoch: [79][4490/5005] Time 0.209 (0.210) Data 0.058 (0.048) Loss 2.3596 (2.2590) Prec@1 43.750 (48.184) Prec@5 73.828 (73.430)
Epoch: [79][4500/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.1847 (2.2590) Prec@1 52.734 (48.187) Prec@5 75.000 (73.431)
Epoch: [79][4510/5005] Time 0.211 (0.210) Data 0.046 (0.048) Loss 2.0628 (2.2590) Prec@1 50.781 (48.185) Prec@5 76.562 (73.430)
Epoch: [79][4520/5005] Time 0.205 (0.210) Data 0.063 (0.048) Loss 2.2117 (2.2588) Prec@1 47.656 (48.187) Prec@5 73.047 (73.432)
Epoch: [79][4530/5005] Time 0.205 (0.210) Data 0.055 (0.048) Loss 2.2323 (2.2588) Prec@1 48.438 (48.190) Prec@5 75.391 (73.432)
Epoch: [79][4540/5005] Time 0.199 (0.210) Data 0.043 (0.048) Loss 2.2934 (2.2589) Prec@1 49.609 (48.188) Prec@5 75.781 (73.431)
Epoch: [79][4550/5005] Time 0.213 (0.210) Data 0.044 (0.048) Loss 2.3764 (2.2589) Prec@1 48.828 (48.189) Prec@5 70.312 (73.431)
Epoch: [79][4560/5005] Time 0.194 (0.210) Data 0.050 (0.048) Loss 2.1512 (2.2588) Prec@1 52.734 (48.190) Prec@5 74.609 (73.431)
Epoch: [79][4570/5005] Time 0.215 (0.210) Data 0.043 (0.048) Loss 2.2495 (2.2588) Prec@1 51.172 (48.190) Prec@5 73.828 (73.433)
Epoch: [79][4580/5005] Time 0.210 (0.210) Data 0.053 (0.048) Loss 2.3428 (2.2587) Prec@1 44.531 (48.190) Prec@5 69.922 (73.434)
Epoch: [79][4590/5005] Time 0.213 (0.210) Data 0.044 (0.048) Loss 2.0666 (2.2588) Prec@1 50.000 (48.187) Prec@5 76.953 (73.432)
Epoch: [79][4600/5005] Time 0.201 (0.210) Data 0.051 (0.048) Loss 2.0097 (2.2588) Prec@1 52.734 (48.189) Prec@5 78.125 (73.432)
Epoch: [79][4610/5005] Time 0.203 (0.210) Data 0.047 (0.048) Loss 1.9031 (2.2587) Prec@1 56.250 (48.192) Prec@5 78.906 (73.436)
Epoch: [79][4620/5005] Time 0.210 (0.210) Data 0.042 (0.048) Loss 2.2275 (2.2587) Prec@1 50.391 (48.194) Prec@5 76.562 (73.437)
Epoch: [79][4630/5005] Time 0.214 (0.210) Data 0.044 (0.048) Loss 2.1727 (2.2586) Prec@1 52.344 (48.197) Prec@5 75.391 (73.439)
Epoch: [79][4640/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.2889 (2.2584) Prec@1 47.266 (48.199) Prec@5 73.828 (73.441)
Epoch: [79][4650/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.2749 (2.2584) Prec@1 46.875 (48.201) Prec@5 76.172 (73.441)
Epoch: [79][4660/5005] Time 0.211 (0.210) Data 0.042 (0.048) Loss 2.4751 (2.2584) Prec@1 44.141 (48.202) Prec@5 68.750 (73.441)
Epoch: [79][4670/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.1331 (2.2583) Prec@1 50.781 (48.202) Prec@5 75.000 (73.442)
Epoch: [79][4680/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.1177 (2.2582) Prec@1 48.438 (48.204) Prec@5 78.516 (73.445)
Epoch: [79][4690/5005] Time 0.206 (0.210) Data 0.045 (0.048) Loss 2.2104 (2.2583) Prec@1 50.000 (48.203) Prec@5 73.438 (73.443)
Epoch: [79][4700/5005] Time 0.207 (0.210) Data 0.047 (0.048) Loss 2.1508 (2.2583) Prec@1 51.172 (48.203) Prec@5 73.828 (73.443)
Epoch: [79][4710/5005] Time 0.211 (0.210) Data 0.045 (0.048) Loss 2.0375 (2.2580) Prec@1 53.516 (48.208) Prec@5 78.516 (73.448)
Epoch: [79][4720/5005] Time 0.208 (0.210) Data 0.052 (0.048) Loss 2.1794 (2.2580) Prec@1 51.172 (48.208) Prec@5 75.781 (73.446)
Epoch: [79][4730/5005] Time 0.204 (0.210) Data 0.049 (0.048) Loss 2.1627 (2.2581) Prec@1 51.562 (48.208) Prec@5 78.906 (73.445)
Epoch: [79][4740/5005] Time 0.207 (0.210) Data 0.046 (0.048) Loss 2.1805 (2.2580) Prec@1 49.609 (48.210) Prec@5 77.734 (73.449)
Epoch: [79][4750/5005] Time 0.196 (0.210) Data 0.044 (0.048) Loss 2.1547 (2.2579) Prec@1 53.125 (48.213) Prec@5 74.609 (73.452)
Epoch: [79][4760/5005] Time 0.211 (0.210) Data 0.050 (0.048) Loss 2.4306 (2.2577) Prec@1 46.094 (48.216) Prec@5 71.484 (73.455)
Epoch: [79][4770/5005] Time 0.199 (0.210) Data 0.060 (0.048) Loss 2.2169 (2.2577) Prec@1 48.828 (48.216) Prec@5 72.656 (73.454)
Epoch: [79][4780/5005] Time 0.201 (0.210) Data 0.050 (0.048) Loss 2.3370 (2.2577) Prec@1 47.266 (48.214) Prec@5 71.875 (73.453)
Epoch: [79][4790/5005] Time 0.204 (0.210) Data 0.048 (0.048) Loss 2.4767 (2.2577) Prec@1 48.047 (48.216) Prec@5 68.359 (73.453)
Epoch: [79][4800/5005] Time 0.197 (0.210) Data 0.044 (0.048) Loss 2.3548 (2.2576) Prec@1 48.828 (48.217) Prec@5 69.922 (73.455)
Epoch: [79][4810/5005] Time 0.193 (0.210) Data 0.059 (0.048) Loss 2.4332 (2.2575) Prec@1 44.922 (48.217) Prec@5 70.312 (73.457)
Epoch: [79][4820/5005] Time 0.203 (0.210) Data 0.043 (0.048) Loss 2.4330 (2.2574) Prec@1 46.094 (48.222) Prec@5 69.531 (73.459)
Epoch: [79][4830/5005] Time 0.204 (0.210) Data 0.046 (0.048) Loss 2.3420 (2.2572) Prec@1 43.359 (48.225) Prec@5 69.531 (73.461)
Epoch: [79][4840/5005] Time 0.204 (0.210) Data 0.063 (0.048) Loss 2.0991 (2.2573) Prec@1 48.047 (48.223) Prec@5 76.562 (73.460)
Epoch: [79][4850/5005] Time 0.209 (0.210) Data 0.044 (0.048) Loss 2.3070 (2.2573) Prec@1 44.141 (48.221) Prec@5 73.438 (73.459)
Epoch: [79][4860/5005] Time 0.200 (0.210) Data 0.047 (0.048) Loss 2.3180 (2.2573) Prec@1 47.266 (48.220) Prec@5 73.438 (73.459)
Epoch: [79][4870/5005] Time 0.209 (0.210) Data 0.051 (0.048) Loss 2.1679 (2.2573) Prec@1 50.781 (48.221) Prec@5 74.219 (73.458)
Epoch: [79][4880/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.1105 (2.2571) Prec@1 55.859 (48.225) Prec@5 75.391 (73.460)
Epoch: [79][4890/5005] Time 0.202 (0.210) Data 0.043 (0.048) Loss 2.3232 (2.2571) Prec@1 44.531 (48.226) Prec@5 72.266 (73.461)
Epoch: [79][4900/5005] Time 0.208 (0.210) Data 0.042 (0.048) Loss 2.1815 (2.2570) Prec@1 46.094 (48.230) Prec@5 73.828 (73.461)
Epoch: [79][4910/5005] Time 0.199 (0.210) Data 0.058 (0.048) Loss 2.2357 (2.2568) Prec@1 47.656 (48.234) Prec@5 76.953 (73.466)
Epoch: [79][4920/5005] Time 0.209 (0.210) Data 0.053 (0.048) Loss 2.1740 (2.2568) Prec@1 50.391 (48.233) Prec@5 73.438 (73.465)
Epoch: [79][4930/5005] Time 0.209 (0.210) Data 0.040 (0.048) Loss 2.4259 (2.2567) Prec@1 44.922 (48.232) Prec@5 68.750 (73.467)
Epoch: [79][4940/5005] Time 0.216 (0.210) Data 0.042 (0.048) Loss 2.2625 (2.2568) Prec@1 47.656 (48.233) Prec@5 73.438 (73.465)
Epoch: [79][4950/5005] Time 0.214 (0.210) Data 0.046 (0.048) Loss 2.0845 (2.2569) Prec@1 47.266 (48.228) Prec@5 76.562 (73.464)
Epoch: [79][4960/5005] Time 0.206 (0.210) Data 0.041 (0.048) Loss 2.3682 (2.2569) Prec@1 49.219 (48.228) Prec@5 73.828 (73.464)
Epoch: [79][4970/5005] Time 0.202 (0.210) Data 0.045 (0.048) Loss 2.3112 (2.2568) Prec@1 45.703 (48.228) Prec@5 73.828 (73.467)
Epoch: [79][4980/5005] Time 0.205 (0.210) Data 0.042 (0.048) Loss 2.1934 (2.2567) Prec@1 51.953 (48.234) Prec@5 75.391 (73.470)
Epoch: [79][4990/5005] Time 0.197 (0.210) Data 0.039 (0.048) Loss 2.3044 (2.2567) Prec@1 44.922 (48.235) Prec@5 69.531 (73.468)
Epoch: [79][5000/5005] Time 0.206 (0.210) Data 0.022 (0.048) Loss 2.2174 (2.2566) Prec@1 47.656 (48.235) Prec@5 73.828 (73.468)
Test: [0/196] Time 1.668 (1.668) Loss 2.3806 (2.3806) Prec@1 47.266 (47.266) Prec@5 69.531 (69.531)
Test: [10/196] Time 0.042 (0.277) Loss 2.4608 (2.5357) Prec@1 48.828 (44.212) Prec@5 72.656 (69.602)
Test: [20/196] Time 0.042 (0.232) Loss 2.4111 (2.5411) Prec@1 46.875 (43.955) Prec@5 72.266 (69.773)
Test: [30/196] Time 0.043 (0.218) Loss 2.4459 (2.5490) Prec@1 46.094 (43.851) Prec@5 72.656 (69.544)
Test: [40/196] Time 0.193 (0.203) Loss 2.3323 (2.5420) Prec@1 50.000 (44.207) Prec@5 71.875 (69.636)
Test: [50/196] Time 0.355 (0.199) Loss 2.6106 (2.5454) Prec@1 45.312 (44.347) Prec@5 71.094 (69.684)
Test: [60/196] Time 0.273 (0.192) Loss 2.4445 (2.5294) Prec@1 46.094 (44.538) Prec@5 69.922 (69.794)
Test: [70/196] Time 0.320 (0.191) Loss 2.5412 (2.5225) Prec@1 44.922 (44.559) Prec@5 69.141 (69.779)
Test: [80/196] Time 0.044 (0.187) Loss 2.4008 (2.5288) Prec@1 50.781 (44.589) Prec@5 75.391 (69.661)
Test: [90/196] Time 0.044 (0.188) Loss 2.6555 (2.5318) Prec@1 44.141 (44.591) Prec@5 66.406 (69.643)
Test: [100/196] Time 0.042 (0.183) Loss 2.5880 (2.5290) Prec@1 44.922 (44.763) Prec@5 67.188 (69.678)
Test: [110/196] Time 0.041 (0.184) Loss 2.7157 (2.5293) Prec@1 39.844 (44.823) Prec@5 66.016 (69.714)
Test: [120/196] Time 0.302 (0.183) Loss 2.3371 (2.5266) Prec@1 47.266 (44.841) Prec@5 73.047 (69.786)
Test: [130/196] Time 0.042 (0.182) Loss 2.1833 (2.5217) Prec@1 48.828 (44.934) Prec@5 75.391 (69.877)
Test: [140/196] Time 0.443 (0.183) Loss 2.3382 (2.5240) Prec@1 48.438 (44.866) Prec@5 71.484 (69.756)
Test: [150/196] Time 0.335 (0.183) Loss 2.1947 (2.5237) Prec@1 49.609 (44.865) Prec@5 76.172 (69.741)
Test: [160/196] Time 0.193 (0.180) Loss 2.4710 (2.5224) Prec@1 48.047 (44.859) Prec@5 69.922 (69.754)
Test: [170/196] Time 0.379 (0.182) Loss 2.3912 (2.5244) Prec@1 45.703 (44.860) Prec@5 74.219 (69.721)
Test: [180/196] Time 0.812 (0.182) Loss 2.7137 (2.5288) Prec@1 42.188 (44.775) Prec@5 68.750 (69.663)
Test: [190/196] Time 0.044 (0.181) Loss 2.7296 (2.5313) Prec@1 41.797 (44.771) Prec@5 66.406 (69.582)
* Prec@1 44.744 Prec@5 69.602
Learning rate: 1e-06
Epoch: [80][0/5005] Time 1.036 (1.036) Data 0.937 (0.937) Loss 2.2640 (2.2640) Prec@1 48.438 (48.438) Prec@5 74.219 (74.219)
Epoch: [80][10/5005] Time 0.203 (0.283) Data 0.042 (0.131) Loss 2.2066 (2.2593) Prec@1 51.562 (47.763) Prec@5 75.781 (73.970)
Epoch: [80][20/5005] Time 0.206 (0.243) Data 0.046 (0.094) Loss 2.3624 (2.2797) Prec@1 52.344 (47.824) Prec@5 73.438 (73.828)
Epoch: [80][30/5005] Time 0.206 (0.230) Data 0.041 (0.079) Loss 2.1649 (2.2530) Prec@1 48.828 (47.946) Prec@5 78.125 (74.017)
Epoch: [80][40/5005] Time 0.204 (0.223) Data 0.043 (0.072) Loss 2.2152 (2.2625) Prec@1 48.828 (47.771) Prec@5 74.609 (73.819)
Epoch: [80][50/5005] Time 0.197 (0.219) Data 0.047 (0.068) Loss 2.0834 (2.2590) Prec@1 49.609 (47.679) Prec@5 79.297 (73.805)
Epoch: [80][60/5005] Time 0.203 (0.217) Data 0.043 (0.064) Loss 2.2033 (2.2627) Prec@1 48.047 (47.490) Prec@5 73.047 (73.649)
Epoch: [80][70/5005] Time 0.203 (0.215) Data 0.047 (0.062) Loss 2.2596 (2.2726) Prec@1 48.828 (47.431) Prec@5 72.656 (73.426)
Epoch: [80][80/5005] Time 0.207 (0.213) Data 0.043 (0.060) Loss 2.2276 (2.2700) Prec@1 49.219 (47.521) Prec@5 75.000 (73.438)
Epoch: [80][90/5005] Time 0.197 (0.212) Data 0.041 (0.058) Loss 2.2100 (2.2696) Prec@1 52.344 (47.703) Prec@5 73.828 (73.446)
Epoch: [80][100/5005] Time 0.197 (0.211) Data 0.054 (0.057) Loss 2.0604 (2.2702) Prec@1 49.219 (47.683) Prec@5 78.125 (73.418)
Epoch: [80][110/5005] Time 0.204 (0.210) Data 0.051 (0.057) Loss 2.3914 (2.2717) Prec@1 49.219 (47.818) Prec@5 69.531 (73.445)
Epoch: [80][120/5005] Time 0.198 (0.209) Data 0.045 (0.056) Loss 2.3991 (2.2748) Prec@1 42.578 (47.750) Prec@5 69.141 (73.402)
Epoch: [80][130/5005] Time 0.198 (0.208) Data 0.047 (0.055) Loss 2.5298 (2.2764) Prec@1 42.578 (47.746) Prec@5 69.531 (73.399)
Epoch: [80][140/5005] Time 0.210 (0.208) Data 0.043 (0.055) Loss 2.3361 (2.2740) Prec@1 48.438 (47.762) Prec@5 71.484 (73.415)
Epoch: [80][150/5005] Time 0.206 (0.208) Data 0.042 (0.054) Loss 2.3722 (2.2739) Prec@1 47.266 (47.801) Prec@5 70.312 (73.425)
Epoch: [80][160/5005] Time 0.209 (0.208) Data 0.045 (0.053) Loss 2.0905 (2.2755) Prec@1 51.172 (47.790) Prec@5 75.781 (73.404)
Epoch: [80][170/5005] Time 0.205 (0.208) Data 0.045 (0.053) Loss 2.3889 (2.2767) Prec@1 45.312 (47.766) Prec@5 71.875 (73.332)
Epoch: [80][180/5005] Time 0.221 (0.208) Data 0.041 (0.052) Loss 2.4758 (2.2775) Prec@1 44.922 (47.794) Prec@5 66.797 (73.248)
Epoch: [80][190/5005] Time 0.217 (0.209) Data 0.044 (0.052) Loss 2.4192 (2.2819) Prec@1 48.047 (47.701) Prec@5 71.094 (73.178)
Epoch: [80][200/5005] Time 0.216 (0.209) Data 0.050 (0.051) Loss 2.5239 (2.2807) Prec@1 42.188 (47.699) Prec@5 71.875 (73.208)
Epoch: [80][210/5005] Time 0.216 (0.210) Data 0.042 (0.051) Loss 2.0183 (2.2801) Prec@1 53.516 (47.715) Prec@5 76.172 (73.173)
Epoch: [80][220/5005] Time 0.225 (0.210) Data 0.046 (0.051) Loss 2.2443 (2.2802) Prec@1 47.656 (47.723) Prec@5 73.047 (73.178)
Epoch: [80][230/5005] Time 0.223 (0.211) Data 0.047 (0.051) Loss 2.3118 (2.2791) Prec@1 48.047 (47.749) Prec@5 71.094 (73.235)
Epoch: [80][240/5005] Time 0.215 (0.211) Data 0.052 (0.051) Loss 2.3101 (2.2804) Prec@1 47.656 (47.697) Prec@5 73.047 (73.219)
Epoch: [80][250/5005] Time 0.212 (0.211) Data 0.052 (0.051) Loss 2.2917 (2.2774) Prec@1 48.438 (47.733) Prec@5 75.000 (73.290)
Epoch: [80][260/5005] Time 0.234 (0.212) Data 0.048 (0.051) Loss 2.0349 (2.2754) Prec@1 51.172 (47.767) Prec@5 76.172 (73.331)
Epoch: [80][270/5005] Time 0.213 (0.212) Data 0.053 (0.051) Loss 2.2635 (2.2761) Prec@1 48.828 (47.790) Prec@5 74.609 (73.329)
Epoch: [80][280/5005] Time 0.215 (0.212) Data 0.049 (0.051) Loss 2.5535 (2.2783) Prec@1 44.141 (47.770) Prec@5 69.922 (73.271)
Epoch: [80][290/5005] Time 0.209 (0.212) Data 0.052 (0.051) Loss 2.1981 (2.2793) Prec@1 50.000 (47.782) Prec@5 72.656 (73.217)
Epoch: [80][300/5005] Time 0.209 (0.212) Data 0.061 (0.051) Loss 2.1241 (2.2792) Prec@1 53.516 (47.813) Prec@5 74.219 (73.226)
Epoch: [80][310/5005] Time 0.202 (0.212) Data 0.043 (0.051) Loss 2.1361 (2.2760) Prec@1 51.172 (47.857) Prec@5 75.781 (73.253)
Epoch: [80][320/5005] Time 0.213 (0.212) Data 0.065 (0.051) Loss 2.4637 (2.2789) Prec@1 44.922 (47.816) Prec@5 67.969 (73.199)
Epoch: [80][330/5005] Time 0.212 (0.212) Data 0.047 (0.051) Loss 2.0362 (2.2776) Prec@1 48.047 (47.823) Prec@5 76.172 (73.229)
Epoch: [80][340/5005] Time 0.212 (0.212) Data 0.054 (0.051) Loss 2.4395 (2.2819) Prec@1 45.312 (47.755) Prec@5 73.828 (73.181)
Epoch: [80][350/5005] Time 0.205 (0.212) Data 0.050 (0.051) Loss 2.6067 (2.2818) Prec@1 44.141 (47.751) Prec@5 65.625 (73.149)
Epoch: [80][360/5005] Time 0.218 (0.212) Data 0.041 (0.051) Loss 2.2045 (2.2809) Prec@1 48.438 (47.775) Prec@5 75.781 (73.138)
Epoch: [80][370/5005] Time 0.212 (0.212) Data 0.052 (0.051) Loss 2.1968 (2.2791) Prec@1 48.047 (47.811) Prec@5 74.609 (73.150)
Epoch: [80][380/5005] Time 0.219 (0.212) Data 0.046 (0.051) Loss 2.3690 (2.2789) Prec@1 47.656 (47.821) Prec@5 69.531 (73.143)
Epoch: [80][390/5005] Time 0.203 (0.212) Data 0.052 (0.051) Loss 2.2521 (2.2800) Prec@1 50.781 (47.802) Prec@5 76.562 (73.122)
Epoch: [80][400/5005] Time 0.203 (0.212) Data 0.048 (0.051) Loss 2.0425 (2.2779) Prec@1 51.562 (47.835) Prec@5 77.344 (73.150)
Epoch: [80][410/5005] Time 0.210 (0.212) Data 0.047 (0.051) Loss 2.1275 (2.2776) Prec@1 46.484 (47.822) Prec@5 77.344 (73.161)
Epoch: [80][420/5005] Time 0.213 (0.212) Data 0.044 (0.051) Loss 2.1548 (2.2761) Prec@1 50.781 (47.841) Prec@5 75.000 (73.185)
Epoch: [80][430/5005] Time 0.212 (0.212) Data 0.046 (0.051) Loss 2.0903 (2.2758) Prec@1 51.953 (47.858) Prec@5 79.688 (73.200)
Epoch: [80][440/5005] Time 0.212 (0.212) Data 0.054 (0.050) Loss 2.3398 (2.2757) Prec@1 48.438 (47.855) Prec@5 73.047 (73.219)
Epoch: [80][450/5005] Time 0.202 (0.212) Data 0.060 (0.050) Loss 2.1333 (2.2760) Prec@1 44.922 (47.828) Prec@5 75.781 (73.206)
Epoch: [80][460/5005] Time 0.205 (0.212) Data 0.047 (0.050) Loss 2.2290 (2.2768) Prec@1 47.656 (47.825) Prec@5 69.922 (73.188)
Epoch: [80][470/5005] Time 0.206 (0.212) Data 0.048 (0.050) Loss 2.3375 (2.2781) Prec@1 45.312 (47.825) Prec@5 71.484 (73.155)
Epoch: [80][480/5005] Time 0.211 (0.212) Data 0.059 (0.050) Loss 2.2623 (2.2781) Prec@1 49.609 (47.847) Prec@5 72.656 (73.151)
Epoch: [80][490/5005] Time 0.213 (0.212) Data 0.047 (0.050) Loss 2.1861 (2.2782) Prec@1 49.219 (47.838) Prec@5 75.000 (73.140)
Epoch: [80][500/5005] Time 0.212 (0.212) Data 0.048 (0.050) Loss 2.4986 (2.2800) Prec@1 45.703 (47.824) Prec@5 68.750 (73.112)
Epoch: [80][510/5005] Time 0.212 (0.212) Data 0.049 (0.050) Loss 2.4595 (2.2803) Prec@1 43.359 (47.826) Prec@5 68.750 (73.090)
Epoch: [80][520/5005] Time 0.206 (0.212) Data 0.050 (0.050) Loss 2.3810 (2.2804) Prec@1 42.578 (47.798) Prec@5 73.438 (73.099)
Epoch: [80][530/5005] Time 0.213 (0.212) Data 0.046 (0.050) Loss 2.1543 (2.2802) Prec@1 51.172 (47.806) Prec@5 73.438 (73.098)
Epoch: [80][540/5005] Time 0.223 (0.212) Data 0.042 (0.050) Loss 2.2511 (2.2805) Prec@1 50.781 (47.798) Prec@5 72.266 (73.085)
Epoch: [80][550/5005] Time 0.211 (0.212) Data 0.046 (0.050) Loss 2.1247 (2.2796) Prec@1 47.656 (47.811) Prec@5 75.000 (73.088)
Epoch: [80][560/5005] Time 0.213 (0.212) Data 0.052 (0.050) Loss 2.2499 (2.2790) Prec@1 49.609 (47.818) Prec@5 75.781 (73.112)
Epoch: [80][570/5005] Time 0.216 (0.212) Data 0.048 (0.050) Loss 2.4463 (2.2795) Prec@1 44.141 (47.812) Prec@5 67.578 (73.093)
Epoch: [80][580/5005] Time 0.204 (0.212) Data 0.045 (0.050) Loss 2.2645 (2.2785) Prec@1 50.000 (47.832) Prec@5 71.484 (73.107)
Epoch: [80][590/5005] Time 0.205 (0.212) Data 0.051 (0.050) Loss 2.4728 (2.2783) Prec@1 41.016 (47.833) Prec@5 68.359 (73.097)
Epoch: [80][600/5005] Time 0.202 (0.212) Data 0.066 (0.050) Loss 2.2536 (2.2793) Prec@1 48.047 (47.821) Prec@5 74.219 (73.089)
Epoch: [80][610/5005] Time 0.214 (0.212) Data 0.042 (0.050) Loss 2.1211 (2.2787) Prec@1 50.000 (47.842) Prec@5 76.172 (73.094)
Epoch: [80][620/5005] Time 0.212 (0.212) Data 0.042 (0.050) Loss 2.3048 (2.2782) Prec@1 50.000 (47.867) Prec@5 71.875 (73.120)
Epoch: [80][630/5005] Time 0.203 (0.212) Data 0.063 (0.050) Loss 2.4255 (2.2778) Prec@1 47.656 (47.872) Prec@5 69.141 (73.117)
Epoch: [80][640/5005] Time 0.209 (0.211) Data 0.068 (0.050) Loss 2.2830 (2.2776) Prec@1 47.656 (47.866) Prec@5 70.312 (73.113)
Epoch: [80][650/5005] Time 0.211 (0.211) Data 0.051 (0.050) Loss 2.3917 (2.2780) Prec@1 43.359 (47.861) Prec@5 69.141 (73.104)
Epoch: [80][660/5005] Time 0.205 (0.211) Data 0.040 (0.050) Loss 2.3374 (2.2771) Prec@1 45.703 (47.872) Prec@5 71.094 (73.125)
Epoch: [80][670/5005] Time 0.208 (0.211) Data 0.063 (0.050) Loss 2.5030 (2.2771) Prec@1 44.922 (47.875) Prec@5 67.969 (73.111)
Epoch: [80][680/5005] Time 0.219 (0.211) Data 0.048 (0.050) Loss 2.1536 (2.2774) Prec@1 46.484 (47.858) Prec@5 78.125 (73.100)
Epoch: [80][690/5005] Time 0.210 (0.211) Data 0.050 (0.050) Loss 2.1251 (2.2765) Prec@1 49.219 (47.874) Prec@5 76.172 (73.112)
Epoch: [80][700/5005] Time 0.216 (0.211) Data 0.043 (0.050) Loss 2.3617 (2.2761) Prec@1 46.094 (47.879) Prec@5 69.141 (73.126)
Epoch: [80][710/5005] Time 0.210 (0.211) Data 0.047 (0.050) Loss 1.9971 (2.2761) Prec@1 50.781 (47.874) Prec@5 78.125 (73.114)
Epoch: [80][720/5005] Time 0.211 (0.211) Data 0.051 (0.050) Loss 2.2007 (2.2756) Prec@1 46.094 (47.870) Prec@5 74.219 (73.115)
Epoch: [80][730/5005] Time 0.213 (0.211) Data 0.048 (0.050) Loss 2.4588 (2.2763) Prec@1 45.703 (47.871) Prec@5 70.703 (73.096)
Epoch: [80][740/5005] Time 0.204 (0.211) Data 0.043 (0.050) Loss 2.2982 (2.2762) Prec@1 46.875 (47.864) Prec@5 72.656 (73.090)
Epoch: [80][750/5005] Time 0.213 (0.211) Data 0.045 (0.050) Loss 2.0771 (2.2761) Prec@1 52.734 (47.845) Prec@5 76.953 (73.085)
Epoch: [80][760/5005] Time 0.207 (0.211) Data 0.041 (0.050) Loss 2.3643 (2.2760) Prec@1 47.266 (47.845) Prec@5 73.047 (73.089)
Epoch: [80][770/5005] Time 0.213 (0.211) Data 0.042 (0.050) Loss 2.3295 (2.2749) Prec@1 44.531 (47.848) Prec@5 71.484 (73.109)
Epoch: [80][780/5005] Time 0.210 (0.211) Data 0.044 (0.050) Loss 2.1563 (2.2746) Prec@1 50.781 (47.859) Prec@5 73.828 (73.104)
Epoch: [80][790/5005] Time 0.213 (0.211) Data 0.044 (0.050) Loss 2.2553 (2.2745) Prec@1 48.438 (47.861) Prec@5 72.266 (73.103)
Epoch: [80][800/5005] Time 0.211 (0.211) Data 0.042 (0.050) Loss 2.1070 (2.2736) Prec@1 50.000 (47.864) Prec@5 78.516 (73.113)
Epoch: [80][810/5005] Time 0.208 (0.211) Data 0.044 (0.050) Loss 2.3319 (2.2738) Prec@1 46.484 (47.864) Prec@5 73.047 (73.118)
Epoch: [80][820/5005] Time 0.207 (0.211) Data 0.043 (0.050) Loss 2.3275 (2.2738) Prec@1 50.781 (47.874) Prec@5 73.438 (73.115)
Epoch: [80][830/5005] Time 0.214 (0.211) Data 0.058 (0.050) Loss 2.1391 (2.2735) Prec@1 47.656 (47.887) Prec@5 76.562 (73.124)
Epoch: [80][840/5005] Time 0.217 (0.211) Data 0.046 (0.050) Loss 2.2231 (2.2735) Prec@1 51.953 (47.897) Prec@5 73.828 (73.136)
Epoch: [80][850/5005] Time 0.203 (0.211) Data 0.049 (0.050) Loss 2.4126 (2.2736) Prec@1 49.219 (47.906) Prec@5 73.047 (73.134)
Epoch: [80][860/5005] Time 0.217 (0.211) Data 0.058 (0.050) Loss 2.2957 (2.2737) Prec@1 49.609 (47.905) Prec@5 71.875 (73.136)
Epoch: [80][870/5005] Time 0.209 (0.211) Data 0.050 (0.050) Loss 2.2682 (2.2728) Prec@1 46.875 (47.924) Prec@5 72.656 (73.145)
Epoch: [80][880/5005] Time 0.213 (0.211) Data 0.044 (0.050) Loss 2.0892 (2.2729) Prec@1 49.609 (47.926) Prec@5 76.172 (73.137)
Epoch: [80][890/5005] Time 0.217 (0.211) Data 0.043 (0.050) Loss 2.5706 (2.2726) Prec@1 44.531 (47.934) Prec@5 68.359 (73.139)
Epoch: [80][900/5005] Time 0.206 (0.211) Data 0.049 (0.050) Loss 2.1602 (2.2722) Prec@1 50.000 (47.934) Prec@5 73.828 (73.143)
Epoch: [80][910/5005] Time 0.210 (0.211) Data 0.052 (0.050) Loss 2.2402 (2.2723) Prec@1 50.000 (47.929) Prec@5 76.562 (73.141)
Epoch: [80][920/5005] Time 0.208 (0.211) Data 0.052 (0.050) Loss 2.3098 (2.2716) Prec@1 47.656 (47.940) Prec@5 73.438 (73.154)
Epoch: [80][930/5005] Time 0.206 (0.211) Data 0.053 (0.050) Loss 2.2914 (2.2713) Prec@1 47.656 (47.937) Prec@5 71.875 (73.155)
Epoch: [80][940/5005] Time 0.212 (0.211) Data 0.042 (0.050) Loss 2.1337 (2.2718) Prec@1 51.172 (47.935) Prec@5 74.219 (73.143)
Epoch: [80][950/5005] Time 0.210 (0.211) Data 0.042 (0.050) Loss 2.4452 (2.2725) Prec@1 45.703 (47.927) Prec@5 72.266 (73.131)
Epoch: [80][960/5005] Time 0.213 (0.211) Data 0.042 (0.050) Loss 2.3966 (2.2729) Prec@1 46.484 (47.908) Prec@5 71.875 (73.127)
Epoch: [80][970/5005] Time 0.212 (0.211) Data 0.040 (0.050) Loss 2.1090 (2.2731) Prec@1 51.562 (47.910) Prec@5 70.703 (73.121)
Epoch: [80][980/5005] Time 0.215 (0.211) Data 0.043 (0.049) Loss 2.2475 (2.2727) Prec@1 49.609 (47.930) Prec@5 72.266 (73.122)
Epoch: [80][990/5005] Time 0.217 (0.211) Data 0.044 (0.049) Loss 2.3112 (2.2733) Prec@1 43.359 (47.918) Prec@5 74.609 (73.114)
Epoch: [80][1000/5005] Time 0.209 (0.211) Data 0.048 (0.049) Loss 2.1843 (2.2733) Prec@1 46.094 (47.899) Prec@5 77.734 (73.119)
Epoch: [80][1010/5005] Time 0.211 (0.211) Data 0.043 (0.049) Loss 2.1345 (2.2727) Prec@1 48.438 (47.908) Prec@5 76.953 (73.126)
Epoch: [80][1020/5005] Time 0.212 (0.211) Data 0.044 (0.049) Loss 2.1256 (2.2733) Prec@1 52.344 (47.905) Prec@5 75.391 (73.116)
Epoch: [80][1030/5005] Time 0.214 (0.211) Data 0.043 (0.049) Loss 2.2279 (2.2730) Prec@1 50.391 (47.901) Prec@5 74.219 (73.121)
Epoch: [80][1040/5005] Time 0.210 (0.212) Data 0.042 (0.049) Loss 2.2141 (2.2729) Prec@1 47.266 (47.895) Prec@5 74.219 (73.127)
Epoch: [80][1050/5005] Time 0.202 (0.212) Data 0.057 (0.049) Loss 2.4238 (2.2731) Prec@1 48.828 (47.893) Prec@5 72.266 (73.125)
Epoch: [80][1060/5005] Time 0.207 (0.212) Data 0.059 (0.049) Loss 2.4149 (2.2740) Prec@1 46.484 (47.877) Prec@5 73.438 (73.115)
Epoch: [80][1070/5005] Time 0.202 (0.212) Data 0.050 (0.049) Loss 2.3240 (2.2744) Prec@1 45.312 (47.870) Prec@5 74.219 (73.116)
Epoch: [80][1080/5005] Time 0.212 (0.212) Data 0.043 (0.049) Loss 2.3410 (2.2745) Prec@1 47.656 (47.869) Prec@5 71.484 (73.113)
Epoch: [80][1090/5005] Time 0.202 (0.212) Data 0.040 (0.049) Loss 2.2234 (2.2743) Prec@1 49.609 (47.876) Prec@5 71.094 (73.115)
Epoch: [80][1100/5005] Time 0.215 (0.212) Data 0.044 (0.049) Loss 2.1187 (2.2739) Prec@1 55.859 (47.889) Prec@5 75.781 (73.129)
Epoch: [80][1110/5005] Time 0.208 (0.212) Data 0.040 (0.049) Loss 2.2450 (2.2734) Prec@1 44.922 (47.889) Prec@5 75.391 (73.140)
Epoch: [80][1120/5005] Time 0.212 (0.212) Data 0.045 (0.049) Loss 2.1792 (2.2725) Prec@1 50.781 (47.914) Prec@5 74.219 (73.155)
Epoch: [80][1130/5005] Time 0.212 (0.212) Data 0.043 (0.049) Loss 2.3115 (2.2726) Prec@1 49.219 (47.915) Prec@5 75.391 (73.161)
Epoch: [80][1140/5005] Time 0.209 (0.212) Data 0.042 (0.049) Loss 2.3115 (2.2721) Prec@1 47.656 (47.920) Prec@5 72.656 (73.170)
Epoch: [80][1150/5005] Time 0.210 (0.212) Data 0.042 (0.049) Loss 2.2369 (2.2716) Prec@1 45.312 (47.925) Prec@5 75.000 (73.182)
Epoch: [80][1160/5005] Time 0.203 (0.212) Data 0.063 (0.049) Loss 2.2758 (2.2715) Prec@1 51.172 (47.933) Prec@5 73.828 (73.184)
Epoch: [80][1170/5005] Time 0.206 (0.212) Data 0.046 (0.049) Loss 2.2289 (2.2714) Prec@1 48.828 (47.928) Prec@5 75.391 (73.188)
Epoch: [80][1180/5005] Time 0.212 (0.212) Data 0.041 (0.049) Loss 2.4898 (2.2717) Prec@1 45.312 (47.918) Prec@5 70.312 (73.179)
Epoch: [80][1190/5005] Time 0.208 (0.212) Data 0.046 (0.049) Loss 2.0523 (2.2714) Prec@1 50.000 (47.926) Prec@5 78.125 (73.188)
Epoch: [80][1200/5005] Time 0.198 (0.212) Data 0.044 (0.049) Loss 2.4635 (2.2715) Prec@1 46.484 (47.913) Prec@5 71.875 (73.184)
Epoch: [80][1210/5005] Time 0.197 (0.212) Data 0.041 (0.049) Loss 2.2189 (2.2722) Prec@1 46.875 (47.902) Prec@5 75.391 (73.173)
Epoch: [80][1220/5005] Time 0.203 (0.212) Data 0.039 (0.049) Loss 2.2031 (2.2723) Prec@1 50.391 (47.899) Prec@5 74.609 (73.175)
Epoch: [80][1230/5005] Time 0.215 (0.212) Data 0.043 (0.049) Loss 2.2632 (2.2724) Prec@1 50.781 (47.892) Prec@5 71.875 (73.169)
Epoch: [80][1240/5005] Time 0.212 (0.212) Data 0.044 (0.049) Loss 2.2648 (2.2727) Prec@1 49.219 (47.891) Prec@5 72.266 (73.160)
Epoch: [80][1250/5005] Time 0.205 (0.212) Data 0.046 (0.049) Loss 2.4272 (2.2730) Prec@1 41.797 (47.881) Prec@5 72.656 (73.149)
Epoch: [80][1260/5005] Time 0.209 (0.212) Data 0.043 (0.049) Loss 1.9788 (2.2723) Prec@1 50.781 (47.890) Prec@5 76.562 (73.158)
Epoch: [80][1270/5005] Time 0.209 (0.212) Data 0.042 (0.049) Loss 2.2859 (2.2727) Prec@1 50.391 (47.890) Prec@5 73.438 (73.147)
Epoch: [80][1280/5005] Time 0.208 (0.212) Data 0.060 (0.049) Loss 2.2823 (2.2729) Prec@1 51.953 (47.890) Prec@5 73.438 (73.145)
Epoch: [80][1290/5005] Time 0.197 (0.212) Data 0.045 (0.049) Loss 2.0517 (2.2725) Prec@1 51.172 (47.889) Prec@5 75.391 (73.149)
Epoch: [80][1300/5005] Time 0.219 (0.212) Data 0.046 (0.049) Loss 2.0656 (2.2721) Prec@1 51.953 (47.902) Prec@5 74.219 (73.160)
Epoch: [80][1310/5005] Time 0.209 (0.212) Data 0.043 (0.049) Loss 2.2774 (2.2720) Prec@1 48.438 (47.901) Prec@5 73.828 (73.165)
Epoch: [80][1320/5005] Time 0.211 (0.212) Data 0.046 (0.049) Loss 2.2690 (2.2718) Prec@1 49.219 (47.903) Prec@5 75.781 (73.175)
Epoch: [80][1330/5005] Time 0.213 (0.212) Data 0.045 (0.049) Loss 2.3364 (2.2723) Prec@1 48.438 (47.895) Prec@5 70.703 (73.167)
Epoch: [80][1340/5005] Time 0.211 (0.212) Data 0.045 (0.049) Loss 2.1941 (2.2721) Prec@1 46.484 (47.897) Prec@5 74.219 (73.171)
Epoch: [80][1350/5005] Time 0.220 (0.212) Data 0.043 (0.049) Loss 2.5800 (2.2725) Prec@1 46.875 (47.890) Prec@5 69.141 (73.165)
Epoch: [80][1360/5005] Time 0.205 (0.212) Data 0.047 (0.049) Loss 2.1200 (2.2722) Prec@1 52.344 (47.894) Prec@5 75.781 (73.169)
Epoch: [80][1370/5005] Time 0.210 (0.212) Data 0.047 (0.049) Loss 2.1411 (2.2719) Prec@1 49.219 (47.890) Prec@5 76.953 (73.175)
Epoch: [80][1380/5005] Time 0.213 (0.211) Data 0.046 (0.049) Loss 2.3704 (2.2718) Prec@1 48.828 (47.889) Prec@5 72.656 (73.180)
Epoch: [80][1390/5005] Time 0.208 (0.211) Data 0.046 (0.049) Loss 2.0791 (2.2717) Prec@1 53.906 (47.894) Prec@5 74.609 (73.180)
Epoch: [80][1400/5005] Time 0.208 (0.211) Data 0.048 (0.049) Loss 2.3123 (2.2711) Prec@1 45.703 (47.904) Prec@5 70.312 (73.188)
Epoch: [80][1410/5005] Time 0.205 (0.211) Data 0.045 (0.049) Loss 2.3747 (2.2710) Prec@1 44.922 (47.910) Prec@5 71.875 (73.191)
Epoch: [80][1420/5005] Time 0.211 (0.211) Data 0.046 (0.049) Loss 2.5660 (2.2711) Prec@1 44.531 (47.910) Prec@5 67.969 (73.190)
Epoch: [80][1430/5005] Time 0.214 (0.211) Data 0.050 (0.049) Loss 1.9162 (2.2707) Prec@1 53.125 (47.917) Prec@5 81.641 (73.203)
Epoch: [80][1440/5005] Time 0.202 (0.211) Data 0.044 (0.049) Loss 2.1219 (2.2705) Prec@1 52.344 (47.924) Prec@5 73.828 (73.210)
Epoch: [80][1450/5005] Time 0.208 (0.211) Data 0.047 (0.049) Loss 2.1642 (2.2703) Prec@1 52.344 (47.931) Prec@5 76.562 (73.214)
Epoch: [80][1460/5005] Time 0.204 (0.211) Data 0.041 (0.049) Loss 2.2866 (2.2702) Prec@1 48.828 (47.934) Prec@5 69.531 (73.221)
Epoch: [80][1470/5005] Time 0.209 (0.211) Data 0.045 (0.049) Loss 2.3771 (2.2707) Prec@1 44.531 (47.935) Prec@5 71.484 (73.215)
Epoch: [80][1480/5005] Time 0.215 (0.211) Data 0.040 (0.049) Loss 2.0747 (2.2708) Prec@1 49.609 (47.929) Prec@5 78.125 (73.212)
Epoch: [80][1490/5005] Time 0.210 (0.211) Data 0.050 (0.049) Loss 2.4907 (2.2705) Prec@1 42.578 (47.930) Prec@5 71.484 (73.220)
Epoch: [80][1500/5005] Time 0.210 (0.211) Data 0.057 (0.049) Loss 2.2887 (2.2705) Prec@1 48.438 (47.930) Prec@5 71.875 (73.223)
Epoch: [80][1510/5005] Time 0.216 (0.211) Data 0.042 (0.049) Loss 2.1657 (2.2704) Prec@1 48.438 (47.931) Prec@5 72.656 (73.221)
Epoch: [80][1520/5005] Time 0.212 (0.211) Data 0.041 (0.049) Loss 2.2567 (2.2703) Prec@1 49.219 (47.935) Prec@5 75.781 (73.220)
Epoch: [80][1530/5005] Time 0.211 (0.211) Data 0.049 (0.049) Loss 2.4605 (2.2705) Prec@1 44.922 (47.933) Prec@5 70.312 (73.210)
Epoch: [80][1540/5005] Time 0.217 (0.211) Data 0.047 (0.049) Loss 2.4364 (2.2708) Prec@1 45.312 (47.922) Prec@5 69.141 (73.207)
Epoch: [80][1550/5005] Time 0.210 (0.211) Data 0.043 (0.049) Loss 2.2082 (2.2704) Prec@1 49.609 (47.930) Prec@5 74.219 (73.211)
Epoch: [80][1560/5005] Time 0.217 (0.211) Data 0.047 (0.049) Loss 2.1619 (2.2705) Prec@1 52.344 (47.933) Prec@5 75.000 (73.216)
Epoch: [80][1570/5005] Time 0.212 (0.211) Data 0.042 (0.049) Loss 2.1582 (2.2700) Prec@1 50.000 (47.946) Prec@5 75.391 (73.223)
Epoch: [80][1580/5005] Time 0.208 (0.211) Data 0.047 (0.049) Loss 2.0731 (2.2701) Prec@1 51.953 (47.939) Prec@5 78.906 (73.224)
Epoch: [80][1590/5005] Time 0.207 (0.211) Data 0.042 (0.049) Loss 2.2903 (2.2702) Prec@1 51.562 (47.943) Prec@5 74.219 (73.219)
Epoch: [80][1600/5005] Time 0.203 (0.211) Data 0.046 (0.049) Loss 2.2967 (2.2703) Prec@1 46.875 (47.946) Prec@5 73.047 (73.219)
Epoch: [80][1610/5005] Time 0.208 (0.211) Data 0.052 (0.049) Loss 2.4613 (2.2704) Prec@1 44.531 (47.946) Prec@5 70.703 (73.222)
Epoch: [80][1620/5005] Time 0.214 (0.211) Data 0.043 (0.049) Loss 2.3737 (2.2702) Prec@1 46.484 (47.945) Prec@5 73.438 (73.221)
Epoch: [80][1630/5005] Time 0.206 (0.211) Data 0.042 (0.048) Loss 2.1991 (2.2704) Prec@1 54.688 (47.946) Prec@5 75.781 (73.216)
Epoch: [80][1640/5005] Time 0.209 (0.211) Data 0.043 (0.048) Loss 2.2378 (2.2704) Prec@1 54.688 (47.958) Prec@5 72.266 (73.211)
Epoch: [80][1650/5005] Time 0.211 (0.211) Data 0.042 (0.048) Loss 2.3635 (2.2704) Prec@1 47.656 (47.960) Prec@5 72.656 (73.204)
Epoch: [80][1660/5005] Time 0.201 (0.211) Data 0.046 (0.048) Loss 2.1551 (2.2699) Prec@1 51.953 (47.973) Prec@5 75.781 (73.211)
Epoch: [80][1670/5005] Time 0.212 (0.211) Data 0.043 (0.048) Loss 2.0412 (2.2699) Prec@1 51.953 (47.975) Prec@5 79.297 (73.211)
Epoch: [80][1680/5005] Time 0.211 (0.211) Data 0.043 (0.048) Loss 2.4387 (2.2702) Prec@1 45.703 (47.971) Prec@5 70.703 (73.208)
Epoch: [80][1690/5005] Time 0.212 (0.211) Data 0.040 (0.048) Loss 2.0986 (2.2701) Prec@1 49.219 (47.973) Prec@5 77.344 (73.209)
Epoch: [80][1700/5005] Time 0.209 (0.211) Data 0.053 (0.048) Loss 2.2510 (2.2695) Prec@1 50.000 (47.981) Prec@5 74.219 (73.220)
Epoch: [80][1710/5005] Time 0.208 (0.211) Data 0.043 (0.048) Loss 2.1551 (2.2690) Prec@1 49.219 (47.992) Prec@5 73.828 (73.227)
Epoch: [80][1720/5005] Time 0.206 (0.211) Data 0.045 (0.048) Loss 2.2733 (2.2692) Prec@1 50.781 (47.992) Prec@5 73.828 (73.224)
Epoch: [80][1730/5005] Time 0.207 (0.211) Data 0.044 (0.048) Loss 2.2637 (2.2691) Prec@1 45.703 (47.998) Prec@5 75.000 (73.226)
Epoch: [80][1740/5005] Time 0.209 (0.211) Data 0.046 (0.048) Loss 2.3916 (2.2689) Prec@1 43.359 (47.996) Prec@5 70.312 (73.231)
Epoch: [80][1750/5005] Time 0.209 (0.211) Data 0.045 (0.048) Loss 2.1632 (2.2686) Prec@1 48.828 (47.996) Prec@5 75.000 (73.236)
Epoch: [80][1760/5005] Time 0.210 (0.211) Data 0.043 (0.048) Loss 2.0105 (2.2682) Prec@1 53.516 (48.008) Prec@5 79.688 (73.243)
Epoch: [80][1770/5005] Time 0.213 (0.211) Data 0.044 (0.048) Loss 2.3161 (2.2681) Prec@1 46.094 (48.007) Prec@5 71.484 (73.245)
Epoch: [80][1780/5005] Time 0.209 (0.211) Data 0.045 (0.048) Loss 2.0609 (2.2679) Prec@1 51.172 (48.011) Prec@5 76.562 (73.247)
Epoch: [80][1790/5005] Time 0.208 (0.211) Data 0.047 (0.048) Loss 2.1967 (2.2677) Prec@1 51.172 (48.017) Prec@5 73.047 (73.250)
Epoch: [80][1800/5005] Time 0.199 (0.211) Data 0.047 (0.048) Loss 2.2363 (2.2675) Prec@1 48.828 (48.025) Prec@5 73.828 (73.251)
Epoch: [80][1810/5005] Time 0.215 (0.211) Data 0.049 (0.048) Loss 2.0988 (2.2670) Prec@1 48.047 (48.028) Prec@5 79.297 (73.264)
Epoch: [80][1820/5005] Time 0.210 (0.211) Data 0.042 (0.048) Loss 2.2998 (2.2671) Prec@1 45.703 (48.025) Prec@5 76.953 (73.267)
Epoch: [80][1830/5005] Time 0.213 (0.211) Data 0.042 (0.048) Loss 1.9534 (2.2667) Prec@1 53.516 (48.033) Prec@5 79.688 (73.269)
Epoch: [80][1840/5005] Time 0.202 (0.211) Data 0.043 (0.048) Loss 2.5573 (2.2667) Prec@1 42.578 (48.034) Prec@5 69.141 (73.267)
Epoch: [80][1850/5005] Time 0.212 (0.211) Data 0.043 (0.048) Loss 2.3812 (2.2665) Prec@1 46.484 (48.043) Prec@5 73.438 (73.275)
Epoch: [80][1860/5005] Time 0.215 (0.211) Data 0.058 (0.048) Loss 2.2099 (2.2664) Prec@1 50.000 (48.045) Prec@5 74.219 (73.282)
Epoch: [80][1870/5005] Time 0.204 (0.211) Data 0.054 (0.048) Loss 2.4075 (2.2668) Prec@1 41.797 (48.042) Prec@5 71.094 (73.275)
Epoch: [80][1880/5005] Time 0.209 (0.211) Data 0.042 (0.048) Loss 2.3219 (2.2669) Prec@1 46.875 (48.033) Prec@5 71.875 (73.271)
Epoch: [80][1890/5005] Time 0.210 (0.211) Data 0.042 (0.048) Loss 2.3065 (2.2669) Prec@1 48.047 (48.035) Prec@5 70.312 (73.267)
Epoch: [80][1900/5005] Time 0.212 (0.211) Data 0.060 (0.048) Loss 2.3256 (2.2674) Prec@1 45.703 (48.028) Prec@5 75.000 (73.264)
Epoch: [80][1910/5005] Time 0.211 (0.211) Data 0.054 (0.048) Loss 2.2198 (2.2672) Prec@1 48.047 (48.024) Prec@5 76.172 (73.267)
Epoch: [80][1920/5005] Time 0.198 (0.211) Data 0.049 (0.048) Loss 2.1613 (2.2669) Prec@1 47.656 (48.027) Prec@5 74.219 (73.269)
Epoch: [80][1930/5005] Time 0.214 (0.211) Data 0.043 (0.048) Loss 2.2074 (2.2667) Prec@1 48.828 (48.032) Prec@5 76.953 (73.272)
Epoch: [80][1940/5005] Time 0.206 (0.211) Data 0.064 (0.048) Loss 2.1219 (2.2665) Prec@1 53.125 (48.032) Prec@5 78.125 (73.278)
Epoch: [80][1950/5005] Time 0.201 (0.211) Data 0.046 (0.048) Loss 2.4170 (2.2664) Prec@1 46.484 (48.035) Prec@5 69.922 (73.281)
Epoch: [80][1960/5005] Time 0.210 (0.211) Data 0.040 (0.048) Loss 2.2119 (2.2661) Prec@1 51.172 (48.044) Prec@5 75.000 (73.284)
Epoch: [80][1970/5005] Time 0.205 (0.211) Data 0.060 (0.048) Loss 2.2743 (2.2662) Prec@1 48.438 (48.041) Prec@5 72.266 (73.280)
Epoch: [80][1980/5005] Time 0.212 (0.211) Data 0.050 (0.048) Loss 2.0137 (2.2662) Prec@1 51.562 (48.047) Prec@5 73.047 (73.276)
Epoch: [80][1990/5005] Time 0.215 (0.211) Data 0.045 (0.048) Loss 2.1628 (2.2660) Prec@1 51.562 (48.055) Prec@5 76.172 (73.283)
Epoch: [80][2000/5005] Time 0.213 (0.211) Data 0.048 (0.048) Loss 2.1790 (2.2661) Prec@1 53.125 (48.055) Prec@5 76.562 (73.280)
Epoch: [80][2010/5005] Time 0.206 (0.211) Data 0.046 (0.048) Loss 2.1245 (2.2661) Prec@1 49.219 (48.050) Prec@5 74.219 (73.275)
Epoch: [80][2020/5005] Time 0.213 (0.211) Data 0.042 (0.048) Loss 2.2820 (2.2661) Prec@1 47.656 (48.049) Prec@5 74.609 (73.275)
Epoch: [80][2030/5005] Time 0.212 (0.211) Data 0.046 (0.048) Loss 2.1655 (2.2660) Prec@1 50.000 (48.051) Prec@5 73.828 (73.275)
Epoch: [80][2040/5005] Time 0.212 (0.211) Data 0.041 (0.048) Loss 1.9922 (2.2658) Prec@1 51.953 (48.050) Prec@5 78.516 (73.277)
Epoch: [80][2050/5005] Time 0.211 (0.211) Data 0.044 (0.048) Loss 2.2573 (2.2655) Prec@1 47.656 (48.053) Prec@5 74.609 (73.286)
Epoch: [80][2060/5005] Time 0.194 (0.210) Data 0.047 (0.048) Loss 2.3334 (2.2656) Prec@1 46.094 (48.055) Prec@5 70.703 (73.283)
Epoch: [80][2070/5005] Time 0.201 (0.210) Data 0.042 (0.048) Loss 2.3884 (2.2657) Prec@1 45.703 (48.049) Prec@5 71.484 (73.278)
Epoch: [80][2080/5005] Time 0.206 (0.210) Data 0.042 (0.048) Loss 2.2830 (2.2656) Prec@1 47.656 (48.047) Prec@5 73.828 (73.277)
Epoch: [80][2090/5005] Time 0.204 (0.210) Data 0.052 (0.048) Loss 2.1623 (2.2654) Prec@1 51.562 (48.050) Prec@5 75.000 (73.278)
Epoch: [80][2100/5005] Time 0.208 (0.210) Data 0.059 (0.048) Loss 2.2937 (2.2653) Prec@1 46.875 (48.050) Prec@5 72.266 (73.278)
Epoch: [80][2110/5005] Time 0.209 (0.210) Data 0.044 (0.048) Loss 2.0903 (2.2651) Prec@1 49.609 (48.054) Prec@5 76.953 (73.282)
Epoch: [80][2120/5005] Time 0.210 (0.210) Data 0.040 (0.048) Loss 2.3526 (2.2650) Prec@1 48.047 (48.053) Prec@5 73.047 (73.287)
Epoch: [80][2130/5005] Time 0.196 (0.210) Data 0.042 (0.048) Loss 2.2862 (2.2648) Prec@1 46.094 (48.059) Prec@5 75.391 (73.292)
Epoch: [80][2140/5005] Time 0.209 (0.210) Data 0.045 (0.048) Loss 2.0792 (2.2647) Prec@1 51.953 (48.063) Prec@5 74.609 (73.293)
Epoch: [80][2150/5005] Time 0.211 (0.210) Data 0.047 (0.048) Loss 2.1426 (2.2646) Prec@1 47.266 (48.067) Prec@5 76.172 (73.294)
Epoch: [80][2160/5005] Time 0.201 (0.210) Data 0.043 (0.048) Loss 2.3188 (2.2646) Prec@1 45.312 (48.065) Prec@5 71.484 (73.296)
Epoch: [80][2170/5005] Time 0.202 (0.210) Data 0.047 (0.048) Loss 1.9652 (2.2642) Prec@1 49.609 (48.073) Prec@5 78.125 (73.301)
Epoch: [80][2180/5005] Time 0.212 (0.210) Data 0.045 (0.048) Loss 2.2107 (2.2643) Prec@1 51.953 (48.068) Prec@5 73.438 (73.303)
Epoch: [80][2190/5005] Time 0.198 (0.210) Data 0.047 (0.048) Loss 2.5179 (2.2645) Prec@1 47.656 (48.071) Prec@5 66.797 (73.301)
Epoch: [80][2200/5005] Time 0.196 (0.210) Data 0.058 (0.048) Loss 2.5110 (2.2648) Prec@1 42.578 (48.065) Prec@5 70.703 (73.299)
Epoch: [80][2210/5005] Time 0.200 (0.210) Data 0.041 (0.048) Loss 2.2661 (2.2649) Prec@1 46.094 (48.058) Prec@5 73.438 (73.297)
Epoch: [80][2220/5005] Time 0.210 (0.210) Data 0.057 (0.048) Loss 2.4422 (2.2649) Prec@1 46.094 (48.058) Prec@5 71.875 (73.297)
Epoch: [80][2230/5005] Time 0.207 (0.210) Data 0.056 (0.048) Loss 2.2143 (2.2650) Prec@1 48.047 (48.054) Prec@5 76.562 (73.296)
Epoch: [80][2240/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.1949 (2.2650) Prec@1 48.438 (48.054) Prec@5 75.391 (73.295)
Epoch: [80][2250/5005] Time 0.213 (0.210) Data 0.046 (0.048) Loss 2.0215 (2.2651) Prec@1 51.172 (48.050) Prec@5 75.781 (73.292)
Epoch: [80][2260/5005] Time 0.193 (0.210) Data 0.061 (0.048) Loss 2.2902 (2.2650) Prec@1 47.656 (48.054) Prec@5 69.922 (73.296)
Epoch: [80][2270/5005] Time 0.207 (0.210) Data 0.046 (0.048) Loss 2.4642 (2.2648) Prec@1 44.531 (48.060) Prec@5 67.188 (73.297)
Epoch: [80][2280/5005] Time 0.210 (0.210) Data 0.046 (0.048) Loss 2.3138 (2.2647) Prec@1 46.875 (48.062) Prec@5 74.219 (73.300)
Epoch: [80][2290/5005] Time 0.204 (0.210) Data 0.045 (0.048) Loss 2.0784 (2.2647) Prec@1 52.344 (48.061) Prec@5 74.219 (73.298)
Epoch: [80][2300/5005] Time 0.204 (0.210) Data 0.041 (0.048) Loss 2.2107 (2.2648) Prec@1 47.266 (48.058) Prec@5 72.266 (73.295)
Epoch: [80][2310/5005] Time 0.201 (0.210) Data 0.047 (0.048) Loss 2.1375 (2.2647) Prec@1 49.609 (48.063) Prec@5 73.047 (73.297)
Epoch: [80][2320/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.4122 (2.2647) Prec@1 45.312 (48.062) Prec@5 70.703 (73.296)
Epoch: [80][2330/5005] Time 0.206 (0.210) Data 0.057 (0.048) Loss 2.3262 (2.2646) Prec@1 49.219 (48.066) Prec@5 71.875 (73.301)
Epoch: [80][2340/5005] Time 0.214 (0.210) Data 0.043 (0.048) Loss 2.2101 (2.2642) Prec@1 48.047 (48.071) Prec@5 75.391 (73.307)
Epoch: [80][2350/5005] Time 0.199 (0.210) Data 0.049 (0.048) Loss 2.1956 (2.2639) Prec@1 48.438 (48.076) Prec@5 73.828 (73.313)
Epoch: [80][2360/5005] Time 0.206 (0.210) Data 0.052 (0.048) Loss 2.3520 (2.2638) Prec@1 49.219 (48.079) Prec@5 71.484 (73.315)
Epoch: [80][2370/5005] Time 0.217 (0.210) Data 0.046 (0.048) Loss 2.1955 (2.2638) Prec@1 48.828 (48.079) Prec@5 71.484 (73.311)
Epoch: [80][2380/5005] Time 0.209 (0.210) Data 0.047 (0.048) Loss 2.3118 (2.2636) Prec@1 47.266 (48.082) Prec@5 71.484 (73.313)
Epoch: [80][2390/5005] Time 0.209 (0.210) Data 0.048 (0.048) Loss 2.2376 (2.2636) Prec@1 45.312 (48.081) Prec@5 75.000 (73.315)
Epoch: [80][2400/5005] Time 0.211 (0.210) Data 0.046 (0.048) Loss 2.4493 (2.2636) Prec@1 44.141 (48.078) Prec@5 69.531 (73.313)
Epoch: [80][2410/5005] Time 0.214 (0.210) Data 0.045 (0.048) Loss 2.5029 (2.2636) Prec@1 44.531 (48.077) Prec@5 66.797 (73.308)
Epoch: [80][2420/5005] Time 0.215 (0.210) Data 0.044 (0.048) Loss 2.3158 (2.2635) Prec@1 48.047 (48.089) Prec@5 71.875 (73.308)
Epoch: [80][2430/5005] Time 0.208 (0.210) Data 0.073 (0.048) Loss 2.1753 (2.2636) Prec@1 47.656 (48.089) Prec@5 75.000 (73.306)
Epoch: [80][2440/5005] Time 0.211 (0.210) Data 0.042 (0.048) Loss 2.0188 (2.2636) Prec@1 53.516 (48.090) Prec@5 76.172 (73.305)
Epoch: [80][2450/5005] Time 0.213 (0.210) Data 0.052 (0.048) Loss 2.1628 (2.2634) Prec@1 48.828 (48.096) Prec@5 74.219 (73.309)
Epoch: [80][2460/5005] Time 0.198 (0.210) Data 0.048 (0.048) Loss 2.2198 (2.2632) Prec@1 48.828 (48.098) Prec@5 73.047 (73.308)
Epoch: [80][2470/5005] Time 0.199 (0.210) Data 0.040 (0.048) Loss 2.1605 (2.2629) Prec@1 47.656 (48.100) Prec@5 73.047 (73.311)
Epoch: [80][2480/5005] Time 0.199 (0.210) Data 0.045 (0.048) Loss 2.2932 (2.2630) Prec@1 48.047 (48.099) Prec@5 72.266 (73.309)
Epoch: [80][2490/5005] Time 0.213 (0.210) Data 0.047 (0.048) Loss 1.9339 (2.2630) Prec@1 54.297 (48.100) Prec@5 80.469 (73.309)
Epoch: [80][2500/5005] Time 0.207 (0.210) Data 0.043 (0.048) Loss 2.2666 (2.2630) Prec@1 47.656 (48.098) Prec@5 72.656 (73.311)
Epoch: [80][2510/5005] Time 0.215 (0.210) Data 0.045 (0.048) Loss 2.3848 (2.2630) Prec@1 45.703 (48.100) Prec@5 72.656 (73.312)
Epoch: [80][2520/5005] Time 0.204 (0.210) Data 0.042 (0.048) Loss 2.2931 (2.2630) Prec@1 50.391 (48.104) Prec@5 71.094 (73.315)
Epoch: [80][2530/5005] Time 0.213 (0.210) Data 0.045 (0.048) Loss 2.4124 (2.2630) Prec@1 47.656 (48.100) Prec@5 69.531 (73.315)
Epoch: [80][2540/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.3305 (2.2630) Prec@1 46.484 (48.103) Prec@5 73.047 (73.316)
Epoch: [80][2550/5005] Time 0.211 (0.210) Data 0.046 (0.048) Loss 2.1783 (2.2630) Prec@1 48.438 (48.103) Prec@5 75.391 (73.317)
Epoch: [80][2560/5005] Time 0.197 (0.210) Data 0.044 (0.048) Loss 2.4624 (2.2629) Prec@1 44.531 (48.101) Prec@5 72.266 (73.317)
Epoch: [80][2570/5005] Time 0.207 (0.210) Data 0.047 (0.048) Loss 2.2141 (2.2631) Prec@1 47.266 (48.098) Prec@5 79.688 (73.316)
Epoch: [80][2580/5005] Time 0.202 (0.210) Data 0.045 (0.048) Loss 2.4894 (2.2636) Prec@1 44.922 (48.091) Prec@5 69.531 (73.309)
Epoch: [80][2590/5005] Time 0.206 (0.210) Data 0.044 (0.048) Loss 2.4560 (2.2635) Prec@1 46.484 (48.094) Prec@5 70.312 (73.306)
Epoch: [80][2600/5005] Time 0.209 (0.210) Data 0.050 (0.048) Loss 2.3376 (2.2638) Prec@1 46.484 (48.089) Prec@5 72.656 (73.301)
Epoch: [80][2610/5005] Time 0.213 (0.210) Data 0.044 (0.048) Loss 2.4421 (2.2635) Prec@1 47.266 (48.098) Prec@5 71.484 (73.307)
Epoch: [80][2620/5005] Time 0.199 (0.210) Data 0.050 (0.048) Loss 2.3019 (2.2635) Prec@1 50.391 (48.096) Prec@5 71.484 (73.306)
Epoch: [80][2630/5005] Time 0.216 (0.210) Data 0.046 (0.048) Loss 2.5256 (2.2641) Prec@1 44.141 (48.089) Prec@5 67.578 (73.295)
Epoch: [80][2640/5005] Time 0.206 (0.210) Data 0.042 (0.048) Loss 2.4632 (2.2642) Prec@1 43.359 (48.080) Prec@5 68.750 (73.292)
Epoch: [80][2650/5005] Time 0.208 (0.210) Data 0.048 (0.048) Loss 2.4178 (2.2644) Prec@1 45.703 (48.081) Prec@5 69.531 (73.290)
Epoch: [80][2660/5005] Time 0.201 (0.210) Data 0.053 (0.048) Loss 2.2045 (2.2643) Prec@1 47.656 (48.083) Prec@5 78.125 (73.291)
Epoch: [80][2670/5005] Time 0.216 (0.210) Data 0.044 (0.048) Loss 2.0001 (2.2641) Prec@1 51.953 (48.089) Prec@5 76.562 (73.295)
Epoch: [80][2680/5005] Time 0.203 (0.210) Data 0.043 (0.048) Loss 2.2161 (2.2641) Prec@1 50.781 (48.086) Prec@5 76.172 (73.297)
Epoch: [80][2690/5005] Time 0.202 (0.210) Data 0.047 (0.048) Loss 2.1296 (2.2640) Prec@1 54.297 (48.087) Prec@5 74.609 (73.297)
Epoch: [80][2700/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.1729 (2.2641) Prec@1 46.484 (48.086) Prec@5 77.734 (73.295)
Epoch: [80][2710/5005] Time 0.205 (0.210) Data 0.040 (0.048) Loss 2.1202 (2.2642) Prec@1 45.312 (48.079) Prec@5 75.391 (73.296)
Epoch: [80][2720/5005] Time 0.208 (0.210) Data 0.047 (0.048) Loss 2.1304 (2.2642) Prec@1 51.562 (48.083) Prec@5 74.609 (73.298)
Epoch: [80][2730/5005] Time 0.211 (0.210) Data 0.052 (0.048) Loss 2.2073 (2.2638) Prec@1 48.828 (48.085) Prec@5 71.484 (73.307)
Epoch: [80][2740/5005] Time 0.206 (0.210) Data 0.047 (0.048) Loss 2.2844 (2.2638) Prec@1 49.219 (48.086) Prec@5 73.438 (73.306)
Epoch: [80][2750/5005] Time 0.206 (0.210) Data 0.041 (0.048) Loss 2.2677 (2.2637) Prec@1 48.438 (48.093) Prec@5 74.219 (73.307)
Epoch: [80][2760/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.1761 (2.2636) Prec@1 45.312 (48.094) Prec@5 75.000 (73.307)
Epoch: [80][2770/5005] Time 0.210 (0.210) Data 0.046 (0.048) Loss 2.1107 (2.2636) Prec@1 49.609 (48.096) Prec@5 76.562 (73.307)
Epoch: [80][2780/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.5238 (2.2636) Prec@1 42.969 (48.094) Prec@5 68.359 (73.303)
Epoch: [80][2790/5005] Time 0.208 (0.210) Data 0.043 (0.048) Loss 2.6450 (2.2636) Prec@1 39.453 (48.095) Prec@5 69.141 (73.304)
Epoch: [80][2800/5005] Time 0.207 (0.210) Data 0.048 (0.048) Loss 2.0494 (2.2635) Prec@1 53.516 (48.098) Prec@5 75.000 (73.305)
Epoch: [80][2810/5005] Time 0.202 (0.210) Data 0.050 (0.048) Loss 2.4405 (2.2636) Prec@1 44.141 (48.096) Prec@5 71.875 (73.305)
Epoch: [80][2820/5005] Time 0.214 (0.210) Data 0.047 (0.048) Loss 1.8620 (2.2633) Prec@1 53.125 (48.098) Prec@5 79.297 (73.311)
Epoch: [80][2830/5005] Time 0.210 (0.210) Data 0.047 (0.048) Loss 2.4279 (2.2634) Prec@1 46.094 (48.093) Prec@5 72.656 (73.312)
Epoch: [80][2840/5005] Time 0.208 (0.210) Data 0.048 (0.048) Loss 2.2960 (2.2635) Prec@1 44.141 (48.091) Prec@5 75.781 (73.314)
Epoch: [80][2850/5005] Time 0.214 (0.210) Data 0.042 (0.048) Loss 2.2046 (2.2634) Prec@1 50.391 (48.095) Prec@5 72.266 (73.316)
Epoch: [80][2860/5005] Time 0.216 (0.210) Data 0.047 (0.048) Loss 2.2300 (2.2635) Prec@1 49.609 (48.096) Prec@5 75.000 (73.316)
Epoch: [80][2870/5005] Time 0.215 (0.210) Data 0.039 (0.048) Loss 2.1212 (2.2632) Prec@1 51.562 (48.101) Prec@5 77.734 (73.320)
Epoch: [80][2880/5005] Time 0.195 (0.210) Data 0.045 (0.048) Loss 2.2778 (2.2632) Prec@1 48.047 (48.102) Prec@5 74.219 (73.321)
Epoch: [80][2890/5005] Time 0.201 (0.210) Data 0.046 (0.048) Loss 2.3072 (2.2629) Prec@1 42.969 (48.102) Prec@5 71.094 (73.325)
Epoch: [80][2900/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 1.9924 (2.2626) Prec@1 54.297 (48.108) Prec@5 78.906 (73.332)
Epoch: [80][2910/5005] Time 0.206 (0.210) Data 0.042 (0.048) Loss 2.0798 (2.2625) Prec@1 53.125 (48.110) Prec@5 74.609 (73.333)
Epoch: [80][2920/5005] Time 0.213 (0.210) Data 0.046 (0.048) Loss 2.5159 (2.2625) Prec@1 42.578 (48.107) Prec@5 68.750 (73.333)
Epoch: [80][2930/5005] Time 0.202 (0.210) Data 0.045 (0.048) Loss 2.4356 (2.2626) Prec@1 43.750 (48.108) Prec@5 74.609 (73.333)
Epoch: [80][2940/5005] Time 0.207 (0.210) Data 0.048 (0.048) Loss 2.4289 (2.2624) Prec@1 44.531 (48.106) Prec@5 69.141 (73.337)
Epoch: [80][2950/5005] Time 0.194 (0.210) Data 0.045 (0.048) Loss 2.2502 (2.2621) Prec@1 48.047 (48.111) Prec@5 75.000 (73.341)
Epoch: [80][2960/5005] Time 0.212 (0.210) Data 0.042 (0.048) Loss 2.3012 (2.2621) Prec@1 47.266 (48.112) Prec@5 71.484 (73.344)
Epoch: [80][2970/5005] Time 0.199 (0.210) Data 0.038 (0.048) Loss 2.3565 (2.2621) Prec@1 43.750 (48.107) Prec@5 73.828 (73.343)
Epoch: [80][2980/5005] Time 0.212 (0.210) Data 0.041 (0.048) Loss 2.3688 (2.2623) Prec@1 46.875 (48.108) Prec@5 71.484 (73.342)
Epoch: [80][2990/5005] Time 0.199 (0.210) Data 0.047 (0.048) Loss 2.2252 (2.2625) Prec@1 50.000 (48.106) Prec@5 75.391 (73.337)
Epoch: [80][3000/5005] Time 0.204 (0.210) Data 0.049 (0.048) Loss 2.1493 (2.2623) Prec@1 46.094 (48.106) Prec@5 76.172 (73.341)
Epoch: [80][3010/5005] Time 0.205 (0.210) Data 0.057 (0.048) Loss 2.2384 (2.2625) Prec@1 47.266 (48.100) Prec@5 71.875 (73.337)
Epoch: [80][3020/5005] Time 0.199 (0.210) Data 0.046 (0.048) Loss 2.2391 (2.2625) Prec@1 46.875 (48.105) Prec@5 73.438 (73.337)
Epoch: [80][3030/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.2698 (2.2625) Prec@1 50.000 (48.110) Prec@5 73.828 (73.340)
Epoch: [80][3040/5005] Time 0.204 (0.210) Data 0.047 (0.048) Loss 2.1661 (2.2623) Prec@1 50.000 (48.115) Prec@5 74.219 (73.342)
Epoch: [80][3050/5005] Time 0.199 (0.210) Data 0.061 (0.048) Loss 2.2670 (2.2623) Prec@1 43.750 (48.111) Prec@5 73.828 (73.346)
Epoch: [80][3060/5005] Time 0.211 (0.210) Data 0.046 (0.048) Loss 2.0994 (2.2621) Prec@1 54.297 (48.114) Prec@5 73.438 (73.348)
Epoch: [80][3070/5005] Time 0.209 (0.210) Data 0.046 (0.048) Loss 2.1423 (2.2621) Prec@1 48.828 (48.113) Prec@5 75.000 (73.350)
Epoch: [80][3080/5005] Time 0.209 (0.210) Data 0.049 (0.048) Loss 2.1863 (2.2620) Prec@1 43.750 (48.111) Prec@5 73.438 (73.350)
Epoch: [80][3090/5005] Time 0.216 (0.210) Data 0.047 (0.048) Loss 2.4371 (2.2620) Prec@1 43.359 (48.113) Prec@5 70.703 (73.353)
Epoch: [80][3100/5005] Time 0.204 (0.210) Data 0.041 (0.048) Loss 2.3386 (2.2620) Prec@1 48.438 (48.110) Prec@5 69.922 (73.352)
Epoch: [80][3110/5005] Time 0.208 (0.210) Data 0.051 (0.048) Loss 2.0205 (2.2617) Prec@1 50.781 (48.117) Prec@5 80.859 (73.359)
Epoch: [80][3120/5005] Time 0.205 (0.210) Data 0.042 (0.048) Loss 2.2864 (2.2617) Prec@1 46.484 (48.114) Prec@5 75.000 (73.358)
Epoch: [80][3130/5005] Time 0.202 (0.210) Data 0.045 (0.048) Loss 2.3133 (2.2615) Prec@1 47.266 (48.122) Prec@5 72.266 (73.361)
Epoch: [80][3140/5005] Time 0.216 (0.210) Data 0.042 (0.048) Loss 2.1503 (2.2613) Prec@1 51.172 (48.129) Prec@5 73.828 (73.363)
Epoch: [80][3150/5005] Time 0.212 (0.210) Data 0.045 (0.048) Loss 2.3726 (2.2611) Prec@1 46.094 (48.134) Prec@5 68.359 (73.363)
Epoch: [80][3160/5005] Time 0.206 (0.210) Data 0.041 (0.048) Loss 2.0066 (2.2610) Prec@1 53.125 (48.141) Prec@5 76.562 (73.366)
Epoch: [80][3170/5005] Time 0.212 (0.210) Data 0.046 (0.048) Loss 2.1800 (2.2610) Prec@1 53.125 (48.144) Prec@5 75.000 (73.368)
Epoch: [80][3180/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.1657 (2.2610) Prec@1 53.906 (48.142) Prec@5 73.438 (73.368)
Epoch: [80][3190/5005] Time 0.210 (0.210) Data 0.045 (0.048) Loss 2.4321 (2.2611) Prec@1 44.531 (48.139) Prec@5 71.484 (73.370)
Epoch: [80][3200/5005] Time 0.194 (0.210) Data 0.058 (0.048) Loss 2.4189 (2.2612) Prec@1 44.531 (48.140) Prec@5 73.438 (73.366)
Epoch: [80][3210/5005] Time 0.203 (0.210) Data 0.053 (0.048) Loss 2.3874 (2.2612) Prec@1 46.094 (48.142) Prec@5 68.750 (73.367)
Epoch: [80][3220/5005] Time 0.215 (0.210) Data 0.046 (0.048) Loss 2.3843 (2.2611) Prec@1 50.000 (48.143) Prec@5 69.141 (73.371)
Epoch: [80][3230/5005] Time 0.208 (0.210) Data 0.045 (0.048) Loss 2.2003 (2.2609) Prec@1 50.000 (48.150) Prec@5 74.609 (73.373)
Epoch: [80][3240/5005] Time 0.204 (0.210) Data 0.047 (0.048) Loss 2.4603 (2.2612) Prec@1 46.875 (48.144) Prec@5 71.094 (73.368)
Epoch: [80][3250/5005] Time 0.202 (0.210) Data 0.055 (0.048) Loss 2.3346 (2.2613) Prec@1 46.094 (48.145) Prec@5 71.875 (73.368)
Epoch: [80][3260/5005] Time 0.199 (0.210) Data 0.057 (0.048) Loss 2.1166 (2.2612) Prec@1 50.781 (48.147) Prec@5 75.391 (73.372)
Epoch: [80][3270/5005] Time 0.197 (0.210) Data 0.059 (0.048) Loss 2.4045 (2.2611) Prec@1 48.047 (48.147) Prec@5 67.969 (73.374)
Epoch: [80][3280/5005] Time 0.208 (0.210) Data 0.046 (0.048) Loss 2.0822 (2.2612) Prec@1 49.219 (48.142) Prec@5 76.172 (73.372)
Epoch: [80][3290/5005] Time 0.208 (0.210) Data 0.047 (0.048) Loss 2.2457 (2.2611) Prec@1 49.219 (48.142) Prec@5 72.266 (73.375)
Epoch: [80][3300/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.1741 (2.2611) Prec@1 44.531 (48.142) Prec@5 76.172 (73.376)
Epoch: [80][3310/5005] Time 0.204 (0.210) Data 0.042 (0.048) Loss 2.1834 (2.2610) Prec@1 49.609 (48.144) Prec@5 74.609 (73.377)
Epoch: [80][3320/5005] Time 0.208 (0.210) Data 0.040 (0.048) Loss 2.2658 (2.2610) Prec@1 50.000 (48.143) Prec@5 69.531 (73.376)
Epoch: [80][3330/5005] Time 0.212 (0.210) Data 0.041 (0.048) Loss 2.3610 (2.2609) Prec@1 48.047 (48.142) Prec@5 69.531 (73.376)
Epoch: [80][3340/5005] Time 0.209 (0.210) Data 0.049 (0.048) Loss 2.3681 (2.2609) Prec@1 48.047 (48.144) Prec@5 72.656 (73.378)
Epoch: [80][3350/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.3152 (2.2608) Prec@1 45.703 (48.145) Prec@5 73.047 (73.378)
Epoch: [80][3360/5005] Time 0.215 (0.210) Data 0.044 (0.048) Loss 2.0885 (2.2608) Prec@1 48.828 (48.147) Prec@5 76.562 (73.379)
Epoch: [80][3370/5005] Time 0.202 (0.210) Data 0.047 (0.048) Loss 2.2672 (2.2608) Prec@1 44.141 (48.149) Prec@5 76.172 (73.377)
Epoch: [80][3380/5005] Time 0.204 (0.210) Data 0.044 (0.048) Loss 2.2201 (2.2606) Prec@1 50.391 (48.154) Prec@5 72.656 (73.380)
Epoch: [80][3390/5005] Time 0.208 (0.210) Data 0.047 (0.048) Loss 2.2823 (2.2608) Prec@1 48.047 (48.149) Prec@5 73.047 (73.377)
Epoch: [80][3400/5005] Time 0.210 (0.210) Data 0.053 (0.048) Loss 2.0646 (2.2609) Prec@1 49.609 (48.148) Prec@5 75.781 (73.376)
Epoch: [80][3410/5005] Time 0.204 (0.210) Data 0.046 (0.048) Loss 2.1292 (2.2607) Prec@1 53.125 (48.152) Prec@5 75.781 (73.381)
Epoch: [80][3420/5005] Time 0.217 (0.210) Data 0.048 (0.048) Loss 2.1922 (2.2607) Prec@1 48.047 (48.151) Prec@5 74.609 (73.382)
Epoch: [80][3430/5005] Time 0.214 (0.210) Data 0.044 (0.048) Loss 2.3292 (2.2606) Prec@1 45.703 (48.152) Prec@5 72.266 (73.382)
Epoch: [80][3440/5005] Time 0.208 (0.210) Data 0.042 (0.048) Loss 2.2354 (2.2606) Prec@1 48.438 (48.151) Prec@5 71.875 (73.383)
Epoch: [80][3450/5005] Time 0.205 (0.210) Data 0.050 (0.048) Loss 2.2281 (2.2606) Prec@1 49.219 (48.152) Prec@5 71.094 (73.383)
Epoch: [80][3460/5005] Time 0.212 (0.209) Data 0.042 (0.048) Loss 2.2765 (2.2606) Prec@1 49.219 (48.155) Prec@5 71.875 (73.381)
Epoch: [80][3470/5005] Time 0.207 (0.209) Data 0.049 (0.048) Loss 2.1129 (2.2605) Prec@1 50.391 (48.158) Prec@5 73.438 (73.383)
Epoch: [80][3480/5005] Time 0.212 (0.209) Data 0.045 (0.048) Loss 2.1769 (2.2602) Prec@1 47.266 (48.160) Prec@5 75.781 (73.386)
Epoch: [80][3490/5005] Time 0.207 (0.209) Data 0.051 (0.048) Loss 2.2795 (2.2601) Prec@1 46.875 (48.162) Prec@5 72.656 (73.390)
Epoch: [80][3500/5005] Time 0.212 (0.209) Data 0.048 (0.048) Loss 2.1127 (2.2603) Prec@1 51.172 (48.160) Prec@5 76.562 (73.390)
Epoch: [80][3510/5005] Time 0.214 (0.209) Data 0.042 (0.048) Loss 2.1723 (2.2601) Prec@1 51.953 (48.160) Prec@5 72.266 (73.392)
Epoch: [80][3520/5005] Time 0.212 (0.209) Data 0.041 (0.048) Loss 2.4160 (2.2602) Prec@1 48.438 (48.160) Prec@5 71.875 (73.391)
Epoch: [80][3530/5005] Time 0.197 (0.209) Data 0.046 (0.048) Loss 2.2759 (2.2600) Prec@1 49.219 (48.165) Prec@5 73.438 (73.392)
Epoch: [80][3540/5005] Time 0.206 (0.209) Data 0.044 (0.048) Loss 2.0962 (2.2599) Prec@1 49.609 (48.169) Prec@5 77.344 (73.394)
Epoch: [80][3550/5005] Time 0.213 (0.209) Data 0.049 (0.048) Loss 2.4281 (2.2597) Prec@1 42.188 (48.171) Prec@5 68.359 (73.396)
Epoch: [80][3560/5005] Time 0.205 (0.209) Data 0.051 (0.048) Loss 2.3846 (2.2596) Prec@1 47.266 (48.171) Prec@5 69.922 (73.400)
Epoch: [80][3570/5005] Time 0.206 (0.209) Data 0.053 (0.048) Loss 2.2781 (2.2596) Prec@1 44.531 (48.169) Prec@5 74.219 (73.401)
Epoch: [80][3580/5005] Time 0.215 (0.209) Data 0.044 (0.048) Loss 2.2545 (2.2597) Prec@1 50.000 (48.165) Prec@5 73.828 (73.401)
Epoch: [80][3590/5005] Time 0.214 (0.209) Data 0.044 (0.048) Loss 2.3492 (2.2594) Prec@1 46.875 (48.170) Prec@5 70.703 (73.403)
Epoch: [80][3600/5005] Time 0.213 (0.209) Data 0.042 (0.048) Loss 2.2039 (2.2592) Prec@1 51.953 (48.176) Prec@5 72.266 (73.406)
Epoch: [80][3610/5005] Time 0.195 (0.209) Data 0.053 (0.048) Loss 2.0482 (2.2591) Prec@1 51.953 (48.177) Prec@5 76.953 (73.407)
Epoch: [80][3620/5005] Time 0.195 (0.209) Data 0.062 (0.048) Loss 2.3506 (2.2589) Prec@1 44.141 (48.182) Prec@5 69.531 (73.410)
Epoch: [80][3630/5005] Time 0.212 (0.209) Data 0.045 (0.048) Loss 2.4490 (2.2588) Prec@1 43.750 (48.182) Prec@5 67.578 (73.411)
Epoch: [80][3640/5005] Time 0.202 (0.209) Data 0.049 (0.048) Loss 2.2862 (2.2589) Prec@1 46.094 (48.182) Prec@5 73.828 (73.409)
Epoch: [80][3650/5005] Time 0.207 (0.209) Data 0.045 (0.048) Loss 2.1494 (2.2589) Prec@1 47.656 (48.180) Prec@5 75.781 (73.409)
Epoch: [80][3660/5005] Time 0.207 (0.209) Data 0.046 (0.048) Loss 2.2604 (2.2587) Prec@1 48.828 (48.183) Prec@5 71.875 (73.416)
Epoch: [80][3670/5005] Time 0.212 (0.209) Data 0.047 (0.048) Loss 2.4487 (2.2588) Prec@1 45.703 (48.182) Prec@5 72.266 (73.416)
Epoch: [80][3680/5005] Time 0.210 (0.209) Data 0.067 (0.048) Loss 2.1168 (2.2589) Prec@1 52.344 (48.183) Prec@5 73.438 (73.416)
Epoch: [80][3690/5005] Time 0.206 (0.209) Data 0.046 (0.048) Loss 2.0462 (2.2588) Prec@1 51.953 (48.184) Prec@5 77.344 (73.419)
Epoch: [80][3700/5005] Time 0.213 (0.209) Data 0.043 (0.048) Loss 2.3416 (2.2588) Prec@1 48.047 (48.184) Prec@5 70.703 (73.418)
Epoch: [80][3710/5005] Time 0.213 (0.209) Data 0.043 (0.048) Loss 2.0841 (2.2588) Prec@1 51.953 (48.185) Prec@5 76.172 (73.420)
Epoch: [80][3720/5005] Time 0.209 (0.209) Data 0.049 (0.048) Loss 2.2980 (2.2587) Prec@1 50.000 (48.185) Prec@5 72.656 (73.420)
Epoch: [80][3730/5005] Time 0.202 (0.209) Data 0.045 (0.048) Loss 2.0819 (2.2585) Prec@1 51.172 (48.185) Prec@5 76.953 (73.424)
Epoch: [80][3740/5005] Time 0.213 (0.209) Data 0.049 (0.048) Loss 2.2461 (2.2583) Prec@1 51.562 (48.189) Prec@5 71.484 (73.428)
Epoch: [80][3750/5005] Time 0.213 (0.209) Data 0.053 (0.048) Loss 2.0609 (2.2583) Prec@1 50.391 (48.188) Prec@5 77.344 (73.426)
Epoch: [80][3760/5005] Time 0.202 (0.209) Data 0.046 (0.048) Loss 2.3404 (2.2584) Prec@1 48.047 (48.188) Prec@5 69.922 (73.423)
Epoch: [80][3770/5005] Time 0.211 (0.209) Data 0.044 (0.048) Loss 2.3000 (2.2582) Prec@1 47.656 (48.191) Prec@5 72.266 (73.425)
Epoch: [80][3780/5005] Time 0.220 (0.209) Data 0.044 (0.048) Loss 2.1640 (2.2580) Prec@1 48.047 (48.190) Prec@5 76.953 (73.426)
Epoch: [80][3790/5005] Time 0.215 (0.209) Data 0.046 (0.048) Loss 2.4099 (2.2581) Prec@1 48.828 (48.188) Prec@5 69.531 (73.425)
Epoch: [80][3800/5005] Time 0.209 (0.209) Data 0.045 (0.048) Loss 2.1342 (2.2582) Prec@1 50.781 (48.185) Prec@5 73.438 (73.421)
Epoch: [80][3810/5005] Time 0.207 (0.209) Data 0.044 (0.048) Loss 2.2315 (2.2583) Prec@1 49.219 (48.181) Prec@5 71.484 (73.420)
Epoch: [80][3820/5005] Time 0.210 (0.209) Data 0.046 (0.048) Loss 2.3093 (2.2582) Prec@1 44.531 (48.183) Prec@5 71.875 (73.423)
Epoch: [80][3830/5005] Time 0.206 (0.209) Data 0.047 (0.048) Loss 2.2872 (2.2579) Prec@1 47.266 (48.185) Prec@5 71.094 (73.429)
Epoch: [80][3840/5005] Time 0.207 (0.209) Data 0.044 (0.048) Loss 2.6072 (2.2582) Prec@1 41.406 (48.182) Prec@5 67.578 (73.422)
Epoch: [80][3850/5005] Time 0.211 (0.209) Data 0.041 (0.048) Loss 2.3804 (2.2582) Prec@1 46.875 (48.180) Prec@5 69.922 (73.421)
Epoch: [80][3860/5005] Time 0.211 (0.209) Data 0.045 (0.048) Loss 2.0700 (2.2581) Prec@1 51.562 (48.183) Prec@5 76.172 (73.423)
Epoch: [80][3870/5005] Time 0.211 (0.209) Data 0.044 (0.048) Loss 2.1781 (2.2581) Prec@1 45.703 (48.181) Prec@5 76.562 (73.424)
Epoch: [80][3880/5005] Time 0.209 (0.209) Data 0.042 (0.048) Loss 2.2067 (2.2580) Prec@1 50.781 (48.185) Prec@5 74.609 (73.425)
Epoch: [80][3890/5005] Time 0.206 (0.209) Data 0.041 (0.048) Loss 2.2989 (2.2579) Prec@1 47.656 (48.190) Prec@5 72.656 (73.426)
Epoch: [80][3900/5005] Time 0.212 (0.209) Data 0.044 (0.048) Loss 2.3109 (2.2580) Prec@1 46.875 (48.188) Prec@5 72.656 (73.425)
Epoch: [80][3910/5005] Time 0.202 (0.209) Data 0.044 (0.048) Loss 2.3734 (2.2579) Prec@1 45.312 (48.189) Prec@5 70.703 (73.426)
Epoch: [80][3920/5005] Time 0.209 (0.209) Data 0.044 (0.048) Loss 2.2556 (2.2579) Prec@1 49.219 (48.191) Prec@5 73.047 (73.425)
Epoch: [80][3930/5005] Time 0.201 (0.209) Data 0.042 (0.048) Loss 2.2169 (2.2577) Prec@1 47.266 (48.194) Prec@5 73.438 (73.428)
Epoch: [80][3940/5005] Time 0.206 (0.209) Data 0.042 (0.048) Loss 2.1368 (2.2577) Prec@1 52.344 (48.194) Prec@5 75.000 (73.425)
Epoch: [80][3950/5005] Time 0.205 (0.209) Data 0.043 (0.048) Loss 2.1349 (2.2576) Prec@1 50.781 (48.199) Prec@5 74.609 (73.427)
Epoch: [80][3960/5005] Time 0.206 (0.209) Data 0.046 (0.048) Loss 2.2502 (2.2576) Prec@1 45.703 (48.196) Prec@5 75.391 (73.425)
Epoch: [80][3970/5005] Time 0.212 (0.209) Data 0.050 (0.048) Loss 2.1902 (2.2575) Prec@1 50.781 (48.197) Prec@5 75.391 (73.426)
Epoch: [80][3980/5005] Time 0.208 (0.209) Data 0.056 (0.048) Loss 2.1069 (2.2575) Prec@1 48.828 (48.198) Prec@5 77.734 (73.427)
Epoch: [80][3990/5005] Time 0.210 (0.209) Data 0.044 (0.048) Loss 2.3990 (2.2576) Prec@1 45.312 (48.196) Prec@5 70.312 (73.427)
Epoch: [80][4000/5005] Time 0.212 (0.209) Data 0.045 (0.048) Loss 2.1474 (2.2575) Prec@1 51.953 (48.199) Prec@5 75.000 (73.428)
Epoch: [80][4010/5005] Time 0.204 (0.209) Data 0.063 (0.048) Loss 2.3108 (2.2574) Prec@1 45.312 (48.201) Prec@5 73.438 (73.430)
Epoch: [80][4020/5005] Time 0.216 (0.209) Data 0.047 (0.048) Loss 2.4802 (2.2573) Prec@1 45.312 (48.201) Prec@5 67.969 (73.428)
Epoch: [80][4030/5005] Time 0.203 (0.209) Data 0.048 (0.048) Loss 2.4682 (2.2575) Prec@1 44.141 (48.199) Prec@5 69.531 (73.423)
Epoch: [80][4040/5005] Time 0.224 (0.209) Data 0.046 (0.048) Loss 2.1720 (2.2575) Prec@1 50.391 (48.197) Prec@5 73.047 (73.424)
Epoch: [80][4050/5005] Time 0.215 (0.209) Data 0.047 (0.048) Loss 2.5082 (2.2575) Prec@1 45.312 (48.200) Prec@5 71.875 (73.427)
Epoch: [80][4060/5005] Time 0.217 (0.209) Data 0.040 (0.048) Loss 2.2211 (2.2574) Prec@1 48.047 (48.200) Prec@5 72.656 (73.429)
Epoch: [80][4070/5005] Time 0.206 (0.209) Data 0.050 (0.048) Loss 2.3752 (2.2574) Prec@1 48.828 (48.200) Prec@5 71.875 (73.431)
Epoch: [80][4080/5005] Time 0.213 (0.209) Data 0.045 (0.048) Loss 2.1588 (2.2573) Prec@1 49.609 (48.200) Prec@5 73.828 (73.429)
Epoch: [80][4090/5005] Time 0.204 (0.209) Data 0.048 (0.048) Loss 2.5135 (2.2572) Prec@1 43.750 (48.201) Prec@5 69.141 (73.431)
Epoch: [80][4100/5005] Time 0.206 (0.209) Data 0.047 (0.048) Loss 2.2647 (2.2571) Prec@1 47.266 (48.201) Prec@5 73.047 (73.432)
Epoch: [80][4110/5005] Time 0.196 (0.209) Data 0.058 (0.048) Loss 2.2590 (2.2571) Prec@1 46.484 (48.196) Prec@5 71.094 (73.432)
Epoch: [80][4120/5005] Time 0.206 (0.209) Data 0.042 (0.048) Loss 2.3269 (2.2571) Prec@1 44.531 (48.196) Prec@5 71.484 (73.432)
Epoch: [80][4130/5005] Time 0.209 (0.209) Data 0.047 (0.048) Loss 2.4892 (2.2570) Prec@1 42.969 (48.196) Prec@5 69.141 (73.433)
Epoch: [80][4140/5005] Time 0.206 (0.209) Data 0.046 (0.048) Loss 2.3430 (2.2570) Prec@1 45.312 (48.196) Prec@5 73.047 (73.434)
Epoch: [80][4150/5005] Time 0.217 (0.209) Data 0.044 (0.048) Loss 2.4652 (2.2570) Prec@1 46.484 (48.197) Prec@5 72.656 (73.434)
Epoch: [80][4160/5005] Time 0.194 (0.209) Data 0.044 (0.048) Loss 2.1319 (2.2570) Prec@1 53.125 (48.197) Prec@5 75.391 (73.436)
Epoch: [80][4170/5005] Time 0.210 (0.209) Data 0.044 (0.048) Loss 2.1560 (2.2568) Prec@1 47.266 (48.204) Prec@5 76.172 (73.439)
Epoch: [80][4180/5005] Time 0.212 (0.209) Data 0.044 (0.048) Loss 2.0512 (2.2567) Prec@1 56.250 (48.209) Prec@5 75.000 (73.438)
Epoch: [80][4190/5005] Time 0.211 (0.209) Data 0.047 (0.048) Loss 2.2092 (2.2567) Prec@1 49.609 (48.212) Prec@5 73.047 (73.437)
Epoch: [80][4200/5005] Time 0.206 (0.209) Data 0.045 (0.048) Loss 2.1486 (2.2567) Prec@1 45.312 (48.210) Prec@5 75.000 (73.439)
Epoch: [80][4210/5005] Time 0.219 (0.209) Data 0.045 (0.048) Loss 2.0724 (2.2566) Prec@1 50.781 (48.212) Prec@5 76.172 (73.440)
Epoch: [80][4220/5005] Time 0.212 (0.209) Data 0.043 (0.048) Loss 2.5376 (2.2568) Prec@1 41.797 (48.208) Prec@5 68.359 (73.436)
Epoch: [80][4230/5005] Time 0.210 (0.209) Data 0.043 (0.048) Loss 2.3342 (2.2567) Prec@1 45.312 (48.209) Prec@5 73.438 (73.438)
Epoch: [80][4240/5005] Time 0.209 (0.209) Data 0.043 (0.048) Loss 2.0853 (2.2567) Prec@1 50.781 (48.210) Prec@5 76.953 (73.437)
Epoch: [80][4250/5005] Time 0.213 (0.209) Data 0.043 (0.048) Loss 2.1393 (2.2566) Prec@1 49.609 (48.210) Prec@5 74.609 (73.437)
Epoch: [80][4260/5005] Time 0.197 (0.209) Data 0.045 (0.048) Loss 2.1404 (2.2566) Prec@1 50.000 (48.211) Prec@5 75.000 (73.438)
Epoch: [80][4270/5005] Time 0.206 (0.209) Data 0.056 (0.048) Loss 2.4886 (2.2567) Prec@1 44.531 (48.210) Prec@5 71.484 (73.437)
Epoch: [80][4280/5005] Time 0.211 (0.209) Data 0.040 (0.048) Loss 2.3559 (2.2566) Prec@1 46.484 (48.211) Prec@5 71.484 (73.437)
Epoch: [80][4290/5005] Time 0.215 (0.209) Data 0.041 (0.048) Loss 2.4905 (2.2566) Prec@1 46.094 (48.211) Prec@5 66.016 (73.438)
Epoch: [80][4300/5005] Time 0.206 (0.209) Data 0.048 (0.048) Loss 1.9950 (2.2563) Prec@1 52.344 (48.215) Prec@5 79.688 (73.443)
Epoch: [80][4310/5005] Time 0.212 (0.209) Data 0.045 (0.048) Loss 2.2378 (2.2563) Prec@1 46.875 (48.215) Prec@5 73.438 (73.444)
Epoch: [80][4320/5005] Time 0.207 (0.209) Data 0.043 (0.048) Loss 2.3069 (2.2563) Prec@1 48.438 (48.216) Prec@5 71.094 (73.444)
Epoch: [80][4330/5005] Time 0.206 (0.209) Data 0.040 (0.048) Loss 2.1322 (2.2562) Prec@1 53.906 (48.219) Prec@5 73.828 (73.445)
Epoch: [80][4340/5005] Time 0.207 (0.209) Data 0.046 (0.048) Loss 2.3175 (2.2563) Prec@1 45.312 (48.216) Prec@5 72.656 (73.443)
Epoch: [80][4350/5005] Time 0.209 (0.209) Data 0.044 (0.048) Loss 2.3061 (2.2562) Prec@1 47.266 (48.217) Prec@5 72.656 (73.444)
Epoch: [80][4360/5005] Time 0.221 (0.209) Data 0.042 (0.048) Loss 2.0287 (2.2560) Prec@1 48.438 (48.217) Prec@5 76.562 (73.446)
Epoch: [80][4370/5005] Time 0.209 (0.209) Data 0.043 (0.048) Loss 2.2748 (2.2561) Prec@1 47.266 (48.218) Prec@5 69.531 (73.446)
Epoch: [80][4380/5005] Time 0.210 (0.209) Data 0.044 (0.048) Loss 2.3223 (2.2560) Prec@1 44.922 (48.218) Prec@5 73.438 (73.448)
Epoch: [80][4390/5005] Time 0.202 (0.209) Data 0.049 (0.048) Loss 2.2415 (2.2559) Prec@1 47.266 (48.223) Prec@5 71.875 (73.450)
Epoch: [80][4400/5005] Time 0.204 (0.209) Data 0.042 (0.048) Loss 2.2915 (2.2558) Prec@1 46.484 (48.223) Prec@5 72.266 (73.448)
Epoch: [80][4410/5005] Time 0.207 (0.209) Data 0.043 (0.048) Loss 2.2030 (2.2557) Prec@1 46.875 (48.223) Prec@5 76.953 (73.450)
Epoch: [80][4420/5005] Time 0.209 (0.209) Data 0.048 (0.048) Loss 1.8062 (2.2556) Prec@1 53.906 (48.225) Prec@5 80.078 (73.450)
Epoch: [80][4430/5005] Time 0.207 (0.209) Data 0.052 (0.048) Loss 2.1682 (2.2554) Prec@1 48.828 (48.231) Prec@5 73.438 (73.453)
Epoch: [80][4440/5005] Time 0.210 (0.209) Data 0.043 (0.048) Loss 2.4750 (2.2555) Prec@1 44.531 (48.232) Prec@5 72.266 (73.453)
Epoch: [80][4450/5005] Time 0.203 (0.209) Data 0.046 (0.048) Loss 2.0408 (2.2555) Prec@1 48.438 (48.232) Prec@5 78.906 (73.453)
Epoch: [80][4460/5005] Time 0.207 (0.209) Data 0.042 (0.048) Loss 2.3367 (2.2553) Prec@1 44.922 (48.234) Prec@5 73.047 (73.457)
Epoch: [80][4470/5005] Time 0.201 (0.209) Data 0.046 (0.048) Loss 2.2373 (2.2554) Prec@1 48.828 (48.231) Prec@5 75.781 (73.453)
Epoch: [80][4480/5005] Time 0.210 (0.209) Data 0.047 (0.048) Loss 2.2465 (2.2556) Prec@1 48.828 (48.228) Prec@5 73.047 (73.452)
Epoch: [80][4490/5005] Time 0.210 (0.209) Data 0.046 (0.048) Loss 2.3532 (2.2558) Prec@1 44.922 (48.224) Prec@5 73.438 (73.450)
Epoch: [80][4500/5005] Time 0.204 (0.209) Data 0.041 (0.048) Loss 2.3067 (2.2558) Prec@1 47.266 (48.225) Prec@5 75.000 (73.449)
Epoch: [80][4510/5005] Time 0.208 (0.209) Data 0.046 (0.048) Loss 1.9883 (2.2558) Prec@1 55.078 (48.222) Prec@5 75.000 (73.449)
Epoch: [80][4520/5005] Time 0.209 (0.209) Data 0.064 (0.048) Loss 2.2013 (2.2556) Prec@1 50.391 (48.222) Prec@5 76.953 (73.451)
Epoch: [80][4530/5005] Time 0.192 (0.209) Data 0.051 (0.048) Loss 2.1535 (2.2555) Prec@1 50.781 (48.227) Prec@5 75.781 (73.454)
Epoch: [80][4540/5005] Time 0.211 (0.209) Data 0.043 (0.048) Loss 2.4405 (2.2557) Prec@1 48.047 (48.223) Prec@5 71.094 (73.451)
Epoch: [80][4550/5005] Time 0.212 (0.209) Data 0.046 (0.048) Loss 2.2888 (2.2556) Prec@1 47.656 (48.224) Prec@5 73.438 (73.453)
Epoch: [80][4560/5005] Time 0.209 (0.209) Data 0.059 (0.048) Loss 2.2225 (2.2556) Prec@1 49.609 (48.225) Prec@5 74.219 (73.454)
Epoch: [80][4570/5005] Time 0.198 (0.209) Data 0.044 (0.048) Loss 2.2256 (2.2554) Prec@1 50.391 (48.227) Prec@5 71.484 (73.455)
Epoch: [80][4580/5005] Time 0.208 (0.209) Data 0.047 (0.048) Loss 2.3142 (2.2554) Prec@1 44.531 (48.227) Prec@5 71.484 (73.456)
Epoch: [80][4590/5005] Time 0.206 (0.209) Data 0.051 (0.048) Loss 2.0617 (2.2555) Prec@1 52.734 (48.225) Prec@5 78.906 (73.454)
Epoch: [80][4600/5005] Time 0.208 (0.209) Data 0.038 (0.048) Loss 1.9194 (2.2555) Prec@1 54.688 (48.225) Prec@5 79.297 (73.451)
Epoch: [80][4610/5005] Time 0.200 (0.209) Data 0.056 (0.048) Loss 1.9734 (2.2555) Prec@1 49.219 (48.226) Prec@5 77.734 (73.450)
Epoch: [80][4620/5005] Time 0.201 (0.209) Data 0.048 (0.048) Loss 2.0945 (2.2554) Prec@1 50.391 (48.227) Prec@5 76.562 (73.450)
Epoch: [80][4630/5005] Time 0.215 (0.209) Data 0.053 (0.048) Loss 2.1077 (2.2553) Prec@1 50.781 (48.230) Prec@5 80.859 (73.455)
Epoch: [80][4640/5005] Time 0.211 (0.209) Data 0.049 (0.048) Loss 2.1811 (2.2552) Prec@1 54.688 (48.233) Prec@5 76.172 (73.457)
Epoch: [80][4650/5005] Time 0.215 (0.209) Data 0.052 (0.048) Loss 2.3103 (2.2552) Prec@1 44.922 (48.233) Prec@5 73.047 (73.457)
Epoch: [80][4660/5005] Time 0.203 (0.209) Data 0.047 (0.048) Loss 2.4201 (2.2551) Prec@1 47.266 (48.235) Prec@5 70.703 (73.456)
Epoch: [80][4670/5005] Time 0.208 (0.209) Data 0.052 (0.048) Loss 2.1427 (2.2550) Prec@1 50.391 (48.239) Prec@5 75.391 (73.459)
Epoch: [80][4680/5005] Time 0.199 (0.209) Data 0.043 (0.048) Loss 2.1365 (2.2549) Prec@1 50.000 (48.240) Prec@5 79.297 (73.460)
Epoch: [80][4690/5005] Time 0.211 (0.209) Data 0.041 (0.048) Loss 2.2174 (2.2548) Prec@1 46.875 (48.240) Prec@5 72.266 (73.462)
Epoch: [80][4700/5005] Time 0.206 (0.209) Data 0.059 (0.048) Loss 2.1452 (2.2548) Prec@1 48.047 (48.241) Prec@5 76.562 (73.463)
Epoch: [80][4710/5005] Time 0.216 (0.209) Data 0.044 (0.048) Loss 2.2025 (2.2546) Prec@1 50.000 (48.244) Prec@5 74.219 (73.467)
Epoch: [80][4720/5005] Time 0.203 (0.209) Data 0.059 (0.048) Loss 2.0700 (2.2546) Prec@1 52.344 (48.247) Prec@5 76.562 (73.466)
Epoch: [80][4730/5005] Time 0.200 (0.209) Data 0.056 (0.048) Loss 2.2699 (2.2547) Prec@1 48.438 (48.243) Prec@5 75.391 (73.463)
Epoch: [80][4740/5005] Time 0.217 (0.209) Data 0.044 (0.048) Loss 2.1441 (2.2547) Prec@1 50.391 (48.245) Prec@5 75.781 (73.464)
Epoch: [80][4750/5005] Time 0.196 (0.209) Data 0.043 (0.048) Loss 2.2146 (2.2546) Prec@1 49.219 (48.245) Prec@5 73.438 (73.465)
Epoch: [80][4760/5005] Time 0.206 (0.209) Data 0.058 (0.048) Loss 2.5171 (2.2545) Prec@1 42.188 (48.246) Prec@5 71.484 (73.466)
Epoch: [80][4770/5005] Time 0.205 (0.209) Data 0.057 (0.048) Loss 2.2019 (2.2545) Prec@1 50.781 (48.247) Prec@5 77.344 (73.466)
Epoch: [80][4780/5005] Time 0.207 (0.209) Data 0.042 (0.048) Loss 2.2154 (2.2545) Prec@1 48.438 (48.250) Prec@5 75.000 (73.467)
Epoch: [80][4790/5005] Time 0.206 (0.209) Data 0.042 (0.048) Loss 2.5131 (2.2545) Prec@1 41.406 (48.253) Prec@5 69.922 (73.465)
Epoch: [80][4800/5005] Time 0.210 (0.209) Data 0.046 (0.048) Loss 2.3763 (2.2544) Prec@1 43.359 (48.253) Prec@5 72.656 (73.466)
Epoch: [80][4810/5005] Time 0.209 (0.209) Data 0.044 (0.048) Loss 2.4403 (2.2544) Prec@1 47.656 (48.255) Prec@5 70.703 (73.467)
Epoch: [80][4820/5005] Time 0.209 (0.209) Data 0.043 (0.048) Loss 2.4576 (2.2543) Prec@1 42.578 (48.257) Prec@5 71.094 (73.471)
Epoch: [80][4830/5005] Time 0.208 (0.209) Data 0.043 (0.048) Loss 2.2781 (2.2541) Prec@1 46.094 (48.261) Prec@5 72.656 (73.474)
Epoch: [80][4840/5005] Time 0.203 (0.209) Data 0.059 (0.048) Loss 1.9746 (2.2541) Prec@1 53.125 (48.259) Prec@5 78.125 (73.473)
Epoch: [80][4850/5005] Time 0.208 (0.209) Data 0.048 (0.048) Loss 2.3198 (2.2541) Prec@1 43.750 (48.256) Prec@5 70.312 (73.471)
Epoch: [80][4860/5005] Time 0.200 (0.209) Data 0.050 (0.048) Loss 2.2259 (2.2540) Prec@1 48.828 (48.255) Prec@5 72.266 (73.473)
Epoch: [80][4870/5005] Time 0.211 (0.209) Data 0.058 (0.048) Loss 2.2297 (2.2541) Prec@1 50.781 (48.255) Prec@5 72.266 (73.472)
Epoch: [80][4880/5005] Time 0.214 (0.209) Data 0.043 (0.048) Loss 2.1363 (2.2539) Prec@1 48.828 (48.258) Prec@5 74.219 (73.473)
Epoch: [80][4890/5005] Time 0.206 (0.209) Data 0.047 (0.048) Loss 2.2112 (2.2538) Prec@1 48.438 (48.259) Prec@5 72.266 (73.473)
Epoch: [80][4900/5005] Time 0.218 (0.209) Data 0.042 (0.048) Loss 2.1428 (2.2537) Prec@1 48.828 (48.261) Prec@5 74.609 (73.473)
Epoch: [80][4910/5005] Time 0.206 (0.209) Data 0.051 (0.048) Loss 2.2612 (2.2536) Prec@1 45.312 (48.265) Prec@5 76.562 (73.476)
Epoch: [80][4920/5005] Time 0.194 (0.209) Data 0.049 (0.048) Loss 2.1589 (2.2535) Prec@1 48.828 (48.264) Prec@5 71.094 (73.476)
Epoch: [80][4930/5005] Time 0.195 (0.209) Data 0.060 (0.048) Loss 2.3266 (2.2535) Prec@1 45.703 (48.263) Prec@5 73.438 (73.480)
Epoch: [80][4940/5005] Time 0.197 (0.209) Data 0.047 (0.048) Loss 2.3635 (2.2535) Prec@1 45.312 (48.266) Prec@5 71.094 (73.477)
Epoch: [80][4950/5005] Time 0.210 (0.209) Data 0.042 (0.048) Loss 2.0174 (2.2535) Prec@1 48.828 (48.266) Prec@5 79.688 (73.477)
Epoch: [80][4960/5005] Time 0.209 (0.209) Data 0.044 (0.048) Loss 2.2820 (2.2535) Prec@1 50.781 (48.267) Prec@5 74.219 (73.478)
Epoch: [80][4970/5005] Time 0.209 (0.209) Data 0.044 (0.048) Loss 2.3223 (2.2534) Prec@1 44.922 (48.268) Prec@5 73.047 (73.480)
Epoch: [80][4980/5005] Time 0.210 (0.209) Data 0.044 (0.048) Loss 2.2210 (2.2533) Prec@1 51.562 (48.271) Prec@5 74.219 (73.484)
Epoch: [80][4990/5005] Time 0.204 (0.209) Data 0.022 (0.048) Loss 2.3682 (2.2532) Prec@1 45.703 (48.275) Prec@5 69.531 (73.483)
Epoch: [80][5000/5005] Time 0.205 (0.209) Data 0.022 (0.048) Loss 2.3157 (2.2531) Prec@1 46.875 (48.277) Prec@5 73.828 (73.484)
Test: [0/196] Time 1.424 (1.424) Loss 2.3610 (2.3610) Prec@1 48.438 (48.438) Prec@5 72.266 (72.266)
Test: [10/196] Time 0.041 (0.325) Loss 2.4601 (2.5458) Prec@1 45.312 (43.430) Prec@5 73.438 (69.993)
Test: [20/196] Time 0.052 (0.245) Loss 2.4157 (2.5465) Prec@1 45.312 (43.415) Prec@5 73.828 (69.494)
Test: [30/196] Time 0.043 (0.209) Loss 2.4229 (2.5521) Prec@1 43.750 (43.233) Prec@5 71.875 (69.355)
Test: [40/196] Time 0.042 (0.199) Loss 2.2427 (2.5440) Prec@1 51.172 (43.474) Prec@5 74.219 (69.446)
Test: [50/196] Time 0.041 (0.200) Loss 2.6263 (2.5442) Prec@1 44.141 (43.643) Prec@5 71.094 (69.638)
Test: [60/196] Time 0.044 (0.197) Loss 2.4543 (2.5273) Prec@1 47.656 (44.160) Prec@5 71.484 (69.839)
Test: [70/196] Time 0.043 (0.193) Loss 2.4102 (2.5210) Prec@1 47.656 (44.190) Prec@5 71.875 (69.845)
Test: [80/196] Time 0.041 (0.188) Loss 2.4073 (2.5262) Prec@1 46.094 (44.256) Prec@5 74.219 (69.763)
Test: [90/196] Time 0.479 (0.186) Loss 2.6541 (2.5302) Prec@1 47.266 (44.274) Prec@5 66.406 (69.690)
Test: [100/196] Time 1.217 (0.195) Loss 2.5576 (2.5275) Prec@1 45.312 (44.481) Prec@5 68.750 (69.717)
Test: [110/196] Time 0.044 (0.183) Loss 2.7392 (2.5289) Prec@1 38.281 (44.517) Prec@5 66.016 (69.714)
Test: [120/196] Time 0.046 (0.185) Loss 2.3566 (2.5252) Prec@1 45.312 (44.583) Prec@5 70.703 (69.735)
Test: [130/196] Time 0.042 (0.182) Loss 2.2511 (2.5218) Prec@1 48.828 (44.692) Prec@5 73.047 (69.740)
Test: [140/196] Time 0.232 (0.181) Loss 2.3154 (2.5234) Prec@1 47.656 (44.664) Prec@5 69.531 (69.695)
Test: [150/196] Time 0.226 (0.181) Loss 2.1688 (2.5219) Prec@1 49.609 (44.642) Prec@5 79.688 (69.743)
Test: [160/196] Time 0.109 (0.181) Loss 2.4882 (2.5207) Prec@1 51.172 (44.655) Prec@5 70.703 (69.803)
Test: [170/196] Time 0.042 (0.183) Loss 2.4108 (2.5220) Prec@1 42.578 (44.639) Prec@5 73.438 (69.771)
Test: [180/196] Time 0.062 (0.178) Loss 2.6734 (2.5270) Prec@1 41.406 (44.529) Prec@5 67.969 (69.710)
Test: [190/196] Time 0.044 (0.179) Loss 2.7333 (2.5296) Prec@1 43.359 (44.513) Prec@5 66.016 (69.640)
* Prec@1 44.514 Prec@5 69.616
Learning rate: 1e-06
Epoch: [81][0/5005] Time 1.162 (1.162) Data 1.071 (1.071) Loss 2.2021 (2.2021) Prec@1 48.828 (48.828) Prec@5 75.781 (75.781)
Epoch: [81][10/5005] Time 0.208 (0.292) Data 0.048 (0.143) Loss 2.2148 (2.2521) Prec@1 52.344 (47.443) Prec@5 73.438 (73.473)
Epoch: [81][20/5005] Time 0.205 (0.250) Data 0.051 (0.098) Loss 2.3544 (2.2577) Prec@1 47.656 (47.563) Prec@5 73.047 (73.512)
Epoch: [81][30/5005] Time 0.189 (0.234) Data 0.062 (0.083) Loss 2.1885 (2.2284) Prec@1 51.953 (48.223) Prec@5 73.047 (74.017)
Epoch: [81][40/5005] Time 0.203 (0.227) Data 0.041 (0.074) Loss 2.2357 (2.2414) Prec@1 47.266 (47.971) Prec@5 73.438 (73.809)
Epoch: [81][50/5005] Time 0.204 (0.222) Data 0.045 (0.069) Loss 2.1557 (2.2486) Prec@1 47.656 (47.809) Prec@5 77.734 (73.882)
Epoch: [81][60/5005] Time 0.196 (0.219) Data 0.059 (0.066) Loss 2.2340 (2.2475) Prec@1 43.750 (47.964) Prec@5 75.000 (73.803)
Epoch: [81][70/5005] Time 0.209 (0.216) Data 0.043 (0.063) Loss 2.2770 (2.2631) Prec@1 45.703 (47.662) Prec@5 74.219 (73.553)
Epoch: [81][80/5005] Time 0.203 (0.214) Data 0.042 (0.061) Loss 2.1886 (2.2573) Prec@1 47.656 (47.811) Prec@5 74.609 (73.679)
Epoch: [81][90/5005] Time 0.208 (0.213) Data 0.043 (0.059) Loss 2.1597 (2.2557) Prec@1 49.609 (47.978) Prec@5 77.344 (73.678)
Epoch: [81][100/5005] Time 0.200 (0.212) Data 0.046 (0.059) Loss 1.9399 (2.2559) Prec@1 50.000 (47.981) Prec@5 79.688 (73.542)
Epoch: [81][110/5005] Time 0.202 (0.211) Data 0.040 (0.058) Loss 2.4077 (2.2604) Prec@1 47.266 (48.033) Prec@5 69.531 (73.476)
Epoch: [81][120/5005] Time 0.199 (0.210) Data 0.046 (0.057) Loss 2.3368 (2.2639) Prec@1 45.703 (48.060) Prec@5 73.828 (73.460)
Epoch: [81][130/5005] Time 0.202 (0.209) Data 0.040 (0.056) Loss 2.4268 (2.2658) Prec@1 46.875 (48.023) Prec@5 68.359 (73.420)
Epoch: [81][140/5005] Time 0.193 (0.209) Data 0.057 (0.056) Loss 2.3036 (2.2624) Prec@1 48.047 (48.050) Prec@5 73.047 (73.462)
Epoch: [81][150/5005] Time 0.201 (0.208) Data 0.044 (0.055) Loss 2.3810 (2.2626) Prec@1 47.266 (48.068) Prec@5 71.875 (73.453)
Epoch: [81][160/5005] Time 0.203 (0.208) Data 0.041 (0.055) Loss 2.1804 (2.2649) Prec@1 47.656 (47.947) Prec@5 76.953 (73.430)
Epoch: [81][170/5005] Time 0.227 (0.208) Data 0.046 (0.055) Loss 2.3986 (2.2686) Prec@1 48.828 (47.910) Prec@5 74.609 (73.428)
Epoch: [81][180/5005] Time 0.218 (0.208) Data 0.055 (0.054) Loss 2.4510 (2.2679) Prec@1 46.094 (47.965) Prec@5 67.969 (73.425)
Epoch: [81][190/5005] Time 0.223 (0.209) Data 0.046 (0.054) Loss 2.4228 (2.2714) Prec@1 48.047 (47.910) Prec@5 73.828 (73.366)
Epoch: [81][200/5005] Time 0.222 (0.209) Data 0.046 (0.054) Loss 2.3867 (2.2734) Prec@1 44.531 (47.831) Prec@5 69.922 (73.346)
Epoch: [81][210/5005] Time 0.219 (0.210) Data 0.043 (0.053) Loss 2.1141 (2.2732) Prec@1 50.391 (47.827) Prec@5 76.172 (73.336)
Epoch: [81][220/5005] Time 0.219 (0.210) Data 0.051 (0.053) Loss 2.4248 (2.2736) Prec@1 41.797 (47.835) Prec@5 72.656 (73.301)
Epoch: [81][230/5005] Time 0.215 (0.211) Data 0.050 (0.053) Loss 2.3434 (2.2737) Prec@1 44.531 (47.852) Prec@5 73.828 (73.312)
Epoch: [81][240/5005] Time 0.213 (0.211) Data 0.045 (0.053) Loss 2.1387 (2.2733) Prec@1 51.562 (47.878) Prec@5 73.828 (73.314)
Epoch: [81][250/5005] Time 0.219 (0.211) Data 0.046 (0.052) Loss 2.3500 (2.2725) Prec@1 46.875 (47.918) Prec@5 72.656 (73.335)
Epoch: [81][260/5005] Time 0.214 (0.211) Data 0.048 (0.052) Loss 2.0641 (2.2716) Prec@1 51.953 (47.935) Prec@5 75.781 (73.337)
Epoch: [81][270/5005] Time 0.210 (0.211) Data 0.058 (0.053) Loss 2.1970 (2.2706) Prec@1 54.297 (47.914) Prec@5 75.000 (73.364)
Epoch: [81][280/5005] Time 0.209 (0.211) Data 0.058 (0.052) Loss 2.6105 (2.2731) Prec@1 44.531 (47.856) Prec@5 68.750 (73.315)
Epoch: [81][290/5005] Time 0.217 (0.211) Data 0.058 (0.052) Loss 2.2177 (2.2742) Prec@1 48.047 (47.797) Prec@5 75.781 (73.302)
Epoch: [81][300/5005] Time 0.218 (0.211) Data 0.042 (0.052) Loss 2.0681 (2.2744) Prec@1 52.734 (47.813) Prec@5 76.172 (73.312)
Epoch: [81][310/5005] Time 0.212 (0.211) Data 0.049 (0.052) Loss 2.2423 (2.2728) Prec@1 50.391 (47.835) Prec@5 75.781 (73.363)
Epoch: [81][320/5005] Time 0.212 (0.211) Data 0.056 (0.052) Loss 2.5173 (2.2741) Prec@1 43.359 (47.829) Prec@5 69.141 (73.318)
Epoch: [81][330/5005] Time 0.207 (0.211) Data 0.061 (0.052) Loss 2.0553 (2.2726) Prec@1 53.125 (47.873) Prec@5 76.172 (73.323)
Epoch: [81][340/5005] Time 0.211 (0.211) Data 0.043 (0.052) Loss 2.3420 (2.2758) Prec@1 48.828 (47.846) Prec@5 73.828 (73.261)
Epoch: [81][350/5005] Time 0.198 (0.211) Data 0.046 (0.052) Loss 2.6002 (2.2749) Prec@1 42.969 (47.875) Prec@5 65.234 (73.281)
Epoch: [81][360/5005] Time 0.207 (0.211) Data 0.047 (0.052) Loss 2.4129 (2.2753) Prec@1 44.922 (47.875) Prec@5 71.875 (73.262)
Epoch: [81][370/5005] Time 0.212 (0.211) Data 0.050 (0.052) Loss 2.2561 (2.2745) Prec@1 46.094 (47.879) Prec@5 73.438 (73.280)
Epoch: [81][380/5005] Time 0.199 (0.211) Data 0.051 (0.052) Loss 2.4367 (2.2755) Prec@1 43.750 (47.871) Prec@5 70.312 (73.255)
Epoch: [81][390/5005] Time 0.223 (0.211) Data 0.047 (0.052) Loss 2.3058 (2.2746) Prec@1 46.875 (47.894) Prec@5 74.219 (73.265)
Epoch: [81][400/5005] Time 0.217 (0.211) Data 0.051 (0.051) Loss 2.2169 (2.2730) Prec@1 46.484 (47.920) Prec@5 75.781 (73.297)
Epoch: [81][410/5005] Time 0.213 (0.211) Data 0.040 (0.051) Loss 2.0355 (2.2732) Prec@1 46.484 (47.919) Prec@5 75.781 (73.306)
Epoch: [81][420/5005] Time 0.208 (0.211) Data 0.041 (0.051) Loss 2.1959 (2.2723) Prec@1 42.969 (47.936) Prec@5 76.172 (73.315)
Epoch: [81][430/5005] Time 0.213 (0.211) Data 0.043 (0.051) Loss 2.1618 (2.2722) Prec@1 53.906 (47.951) Prec@5 76.562 (73.307)
Epoch: [81][440/5005] Time 0.214 (0.211) Data 0.047 (0.051) Loss 2.0286 (2.2707) Prec@1 56.641 (47.980) Prec@5 73.828 (73.315)
Epoch: [81][450/5005] Time 0.216 (0.211) Data 0.044 (0.051) Loss 2.1847 (2.2717) Prec@1 47.656 (47.942) Prec@5 73.438 (73.280)
Epoch: [81][460/5005] Time 0.220 (0.211) Data 0.053 (0.051) Loss 2.2964 (2.2726) Prec@1 48.438 (47.921) Prec@5 70.703 (73.272)
Epoch: [81][470/5005] Time 0.219 (0.211) Data 0.058 (0.051) Loss 2.1994 (2.2731) Prec@1 48.828 (47.922) Prec@5 74.609 (73.239)
Epoch: [81][480/5005] Time 0.219 (0.211) Data 0.043 (0.051) Loss 2.2449 (2.2732) Prec@1 48.438 (47.906) Prec@5 74.609 (73.232)
Epoch: [81][490/5005] Time 0.203 (0.211) Data 0.049 (0.051) Loss 2.2861 (2.2736) Prec@1 49.219 (47.903) Prec@5 72.266 (73.215)
Epoch: [81][500/5005] Time 0.209 (0.211) Data 0.050 (0.051) Loss 2.4466 (2.2752) Prec@1 45.312 (47.897) Prec@5 69.141 (73.186)
Epoch: [81][510/5005] Time 0.214 (0.211) Data 0.042 (0.050) Loss 2.5092 (2.2755) Prec@1 43.359 (47.911) Prec@5 68.750 (73.173)
Epoch: [81][520/5005] Time 0.217 (0.211) Data 0.043 (0.050) Loss 2.1944 (2.2749) Prec@1 48.438 (47.913) Prec@5 76.953 (73.179)
Epoch: [81][530/5005] Time 0.218 (0.211) Data 0.048 (0.050) Loss 2.2179 (2.2751) Prec@1 50.391 (47.912) Prec@5 71.094 (73.167)
Epoch: [81][540/5005] Time 0.216 (0.211) Data 0.042 (0.050) Loss 2.4033 (2.2759) Prec@1 43.359 (47.889) Prec@5 70.312 (73.158)
Epoch: [81][550/5005] Time 0.208 (0.211) Data 0.058 (0.050) Loss 2.2192 (2.2752) Prec@1 48.828 (47.912) Prec@5 75.391 (73.165)
Epoch: [81][560/5005] Time 0.209 (0.211) Data 0.051 (0.050) Loss 2.4096 (2.2753) Prec@1 44.141 (47.901) Prec@5 71.484 (73.173)
Epoch: [81][570/5005] Time 0.202 (0.211) Data 0.063 (0.050) Loss 2.4042 (2.2764) Prec@1 47.266 (47.872) Prec@5 71.484 (73.161)
Epoch: [81][580/5005] Time 0.209 (0.211) Data 0.063 (0.050) Loss 2.2337 (2.2756) Prec@1 49.609 (47.900) Prec@5 73.047 (73.164)
Epoch: [81][590/5005] Time 0.205 (0.211) Data 0.053 (0.050) Loss 2.3916 (2.2758) Prec@1 48.438 (47.899) Prec@5 71.875 (73.144)
Epoch: [81][600/5005] Time 0.209 (0.211) Data 0.042 (0.050) Loss 2.2371 (2.2764) Prec@1 49.609 (47.880) Prec@5 75.391 (73.140)
Epoch: [81][610/5005] Time 0.213 (0.211) Data 0.043 (0.050) Loss 2.2059 (2.2768) Prec@1 49.219 (47.876) Prec@5 73.828 (73.126)
Epoch: [81][620/5005] Time 0.211 (0.211) Data 0.048 (0.050) Loss 2.3100 (2.2767) Prec@1 48.828 (47.893) Prec@5 70.703 (73.124)
Epoch: [81][630/5005] Time 0.214 (0.211) Data 0.041 (0.050) Loss 2.6270 (2.2770) Prec@1 40.234 (47.897) Prec@5 69.922 (73.112)
Epoch: [81][640/5005] Time 0.205 (0.211) Data 0.057 (0.050) Loss 2.1863 (2.2764) Prec@1 44.922 (47.892) Prec@5 75.000 (73.115)
Epoch: [81][650/5005] Time 0.206 (0.211) Data 0.049 (0.050) Loss 2.3306 (2.2772) Prec@1 44.922 (47.860) Prec@5 69.922 (73.103)
Epoch: [81][660/5005] Time 0.212 (0.211) Data 0.042 (0.050) Loss 2.3885 (2.2764) Prec@1 46.875 (47.876) Prec@5 72.266 (73.123)
Epoch: [81][670/5005] Time 0.215 (0.211) Data 0.048 (0.050) Loss 2.6204 (2.2766) Prec@1 41.406 (47.880) Prec@5 70.703 (73.125)
Epoch: [81][680/5005] Time 0.209 (0.211) Data 0.064 (0.050) Loss 2.1950 (2.2764) Prec@1 47.266 (47.872) Prec@5 75.391 (73.136)
Epoch: [81][690/5005] Time 0.208 (0.211) Data 0.050 (0.050) Loss 2.1392 (2.2756) Prec@1 51.953 (47.887) Prec@5 76.953 (73.144)
Epoch: [81][700/5005] Time 0.214 (0.211) Data 0.047 (0.050) Loss 2.3591 (2.2757) Prec@1 44.141 (47.881) Prec@5 72.266 (73.151)
Epoch: [81][710/5005] Time 0.220 (0.211) Data 0.046 (0.050) Loss 2.0359 (2.2751) Prec@1 45.703 (47.893) Prec@5 77.344 (73.154)
Epoch: [81][720/5005] Time 0.216 (0.211) Data 0.042 (0.050) Loss 2.1550 (2.2743) Prec@1 45.703 (47.900) Prec@5 76.172 (73.156)
Epoch: [81][730/5005] Time 0.209 (0.211) Data 0.042 (0.050) Loss 2.4454 (2.2747) Prec@1 46.484 (47.893) Prec@5 72.266 (73.145)
Epoch: [81][740/5005] Time 0.194 (0.211) Data 0.042 (0.050) Loss 2.2669 (2.2746) Prec@1 50.000 (47.880) Prec@5 73.438 (73.144)
Epoch: [81][750/5005] Time 0.215 (0.211) Data 0.043 (0.050) Loss 2.0635 (2.2740) Prec@1 49.609 (47.887) Prec@5 76.562 (73.157)
Epoch: [81][760/5005] Time 0.207 (0.211) Data 0.042 (0.050) Loss 2.2601 (2.2742) Prec@1 48.047 (47.885) Prec@5 73.828 (73.161)
Epoch: [81][770/5005] Time 0.216 (0.211) Data 0.044 (0.050) Loss 2.3533 (2.2731) Prec@1 47.266 (47.923) Prec@5 68.359 (73.168)
Epoch: [81][780/5005] Time 0.215 (0.211) Data 0.053 (0.050) Loss 2.3576 (2.2733) Prec@1 44.141 (47.913) Prec@5 70.312 (73.157)
Epoch: [81][790/5005] Time 0.216 (0.211) Data 0.058 (0.050) Loss 2.1965 (2.2732) Prec@1 49.609 (47.894) Prec@5 73.047 (73.171)
Epoch: [81][800/5005] Time 0.212 (0.211) Data 0.046 (0.050) Loss 2.1315 (2.2724) Prec@1 48.438 (47.914) Prec@5 78.125 (73.171)
Epoch: [81][810/5005] Time 0.212 (0.211) Data 0.069 (0.050) Loss 2.3600 (2.2726) Prec@1 47.266 (47.912) Prec@5 72.266 (73.162)
Epoch: [81][820/5005] Time 0.211 (0.211) Data 0.058 (0.050) Loss 2.4250 (2.2732) Prec@1 45.312 (47.916) Prec@5 71.094 (73.155)
Epoch: [81][830/5005] Time 0.204 (0.211) Data 0.042 (0.050) Loss 2.2512 (2.2731) Prec@1 50.000 (47.924) Prec@5 73.828 (73.151)
Epoch: [81][840/5005] Time 0.206 (0.211) Data 0.063 (0.050) Loss 2.2827 (2.2734) Prec@1 49.609 (47.928) Prec@5 71.875 (73.145)
Epoch: [81][850/5005] Time 0.212 (0.211) Data 0.047 (0.050) Loss 2.4419 (2.2731) Prec@1 44.531 (47.924) Prec@5 72.656 (73.149)
Epoch: [81][860/5005] Time 0.218 (0.211) Data 0.051 (0.050) Loss 2.2620 (2.2731) Prec@1 47.266 (47.932) Prec@5 71.484 (73.157)
Epoch: [81][870/5005] Time 0.208 (0.211) Data 0.049 (0.050) Loss 2.3136 (2.2722) Prec@1 48.047 (47.948) Prec@5 71.094 (73.175)
Epoch: [81][880/5005] Time 0.215 (0.211) Data 0.048 (0.050) Loss 2.1332 (2.2726) Prec@1 48.438 (47.940) Prec@5 73.047 (73.170)
Epoch: [81][890/5005] Time 0.215 (0.211) Data 0.043 (0.050) Loss 2.5214 (2.2722) Prec@1 44.531 (47.939) Prec@5 68.359 (73.171)
Epoch: [81][900/5005] Time 0.218 (0.211) Data 0.048 (0.050) Loss 2.2287 (2.2717) Prec@1 46.484 (47.953) Prec@5 76.562 (73.181)
Epoch: [81][910/5005] Time 0.205 (0.211) Data 0.047 (0.050) Loss 2.2758 (2.2718) Prec@1 48.047 (47.950) Prec@5 75.391 (73.177)
Epoch: [81][920/5005] Time 0.214 (0.211) Data 0.041 (0.050) Loss 2.3009 (2.2712) Prec@1 45.703 (47.958) Prec@5 73.828 (73.197)
Epoch: [81][930/5005] Time 0.209 (0.211) Data 0.048 (0.049) Loss 2.3174 (2.2706) Prec@1 50.391 (47.970) Prec@5 72.656 (73.202)
Epoch: [81][940/5005] Time 0.214 (0.211) Data 0.043 (0.049) Loss 2.1159 (2.2706) Prec@1 47.656 (47.973) Prec@5 74.219 (73.198)
Epoch: [81][950/5005] Time 0.217 (0.211) Data 0.043 (0.049) Loss 2.4347 (2.2711) Prec@1 45.703 (47.977) Prec@5 70.703 (73.190)
Epoch: [81][960/5005] Time 0.215 (0.211) Data 0.044 (0.049) Loss 2.5588 (2.2712) Prec@1 46.484 (47.979) Prec@5 70.312 (73.188)
Epoch: [81][970/5005] Time 0.208 (0.211) Data 0.065 (0.049) Loss 2.0471 (2.2710) Prec@1 50.391 (47.986) Prec@5 78.906 (73.190)
Epoch: [81][980/5005] Time 0.210 (0.211) Data 0.048 (0.049) Loss 2.1330 (2.2700) Prec@1 49.609 (48.017) Prec@5 73.438 (73.211)
Epoch: [81][990/5005] Time 0.199 (0.211) Data 0.043 (0.049) Loss 2.2963 (2.2704) Prec@1 45.312 (48.007) Prec@5 71.094 (73.194)
Epoch: [81][1000/5005] Time 0.203 (0.211) Data 0.048 (0.049) Loss 2.2758 (2.2702) Prec@1 47.656 (48.008) Prec@5 75.781 (73.199)
Epoch: [81][1010/5005] Time 0.201 (0.211) Data 0.049 (0.049) Loss 2.3355 (2.2699) Prec@1 43.750 (48.006) Prec@5 69.531 (73.198)
Epoch: [81][1020/5005] Time 0.214 (0.211) Data 0.045 (0.049) Loss 2.0399 (2.2702) Prec@1 54.297 (48.000) Prec@5 78.516 (73.190)
Epoch: [81][1030/5005] Time 0.202 (0.211) Data 0.047 (0.049) Loss 2.2292 (2.2694) Prec@1 46.094 (48.001) Prec@5 75.781 (73.203)
Epoch: [81][1040/5005] Time 0.199 (0.211) Data 0.056 (0.049) Loss 2.4108 (2.2701) Prec@1 43.359 (47.983) Prec@5 71.875 (73.200)
Epoch: [81][1050/5005] Time 0.217 (0.211) Data 0.051 (0.049) Loss 2.5237 (2.2704) Prec@1 45.703 (47.973) Prec@5 66.406 (73.190)
Epoch: [81][1060/5005] Time 0.193 (0.211) Data 0.061 (0.049) Loss 2.4369 (2.2707) Prec@1 43.359 (47.968) Prec@5 72.656 (73.190)
Epoch: [81][1070/5005] Time 0.205 (0.211) Data 0.048 (0.049) Loss 2.2353 (2.2705) Prec@1 48.828 (47.968) Prec@5 72.266 (73.183)
Epoch: [81][1080/5005] Time 0.213 (0.211) Data 0.047 (0.049) Loss 2.3234 (2.2709) Prec@1 46.484 (47.953) Prec@5 71.484 (73.189)
Epoch: [81][1090/5005] Time 0.205 (0.211) Data 0.046 (0.049) Loss 2.1991 (2.2706) Prec@1 49.219 (47.961) Prec@5 74.219 (73.194)
Epoch: [81][1100/5005] Time 0.210 (0.211) Data 0.039 (0.049) Loss 2.2527 (2.2702) Prec@1 49.609 (47.961) Prec@5 73.047 (73.200)
Epoch: [81][1110/5005] Time 0.211 (0.211) Data 0.044 (0.049) Loss 2.1903 (2.2700) Prec@1 44.531 (47.961) Prec@5 73.828 (73.207)
Epoch: [81][1120/5005] Time 0.206 (0.211) Data 0.057 (0.049) Loss 2.2154 (2.2694) Prec@1 46.484 (47.973) Prec@5 71.875 (73.219)
Epoch: [81][1130/5005] Time 0.208 (0.211) Data 0.049 (0.049) Loss 2.3057 (2.2696) Prec@1 45.312 (47.968) Prec@5 72.266 (73.215)
Epoch: [81][1140/5005] Time 0.217 (0.211) Data 0.041 (0.049) Loss 2.3791 (2.2694) Prec@1 47.266 (47.963) Prec@5 72.656 (73.222)
Epoch: [81][1150/5005] Time 0.215 (0.211) Data 0.043 (0.049) Loss 2.3489 (2.2691) Prec@1 45.703 (47.961) Prec@5 75.391 (73.236)
Epoch: [81][1160/5005] Time 0.215 (0.211) Data 0.043 (0.049) Loss 2.2899 (2.2692) Prec@1 46.875 (47.966) Prec@5 73.047 (73.227)
Epoch: [81][1170/5005] Time 0.201 (0.211) Data 0.059 (0.049) Loss 2.1044 (2.2692) Prec@1 48.828 (47.963) Prec@5 75.391 (73.225)
Epoch: [81][1180/5005] Time 0.212 (0.211) Data 0.051 (0.049) Loss 2.2862 (2.2694) Prec@1 47.266 (47.953) Prec@5 74.609 (73.223)
Epoch: [81][1190/5005] Time 0.212 (0.211) Data 0.049 (0.049) Loss 2.1166 (2.2691) Prec@1 49.219 (47.960) Prec@5 74.609 (73.224)
Epoch: [81][1200/5005] Time 0.207 (0.211) Data 0.061 (0.049) Loss 2.4618 (2.2695) Prec@1 43.359 (47.948) Prec@5 71.875 (73.219)
Epoch: [81][1210/5005] Time 0.208 (0.211) Data 0.058 (0.049) Loss 2.2213 (2.2701) Prec@1 44.922 (47.926) Prec@5 71.875 (73.216)
Epoch: [81][1220/5005] Time 0.209 (0.210) Data 0.044 (0.049) Loss 2.1362 (2.2703) Prec@1 48.828 (47.919) Prec@5 78.125 (73.216)
Epoch: [81][1230/5005] Time 0.213 (0.210) Data 0.040 (0.049) Loss 2.2642 (2.2702) Prec@1 48.438 (47.916) Prec@5 72.656 (73.216)
Epoch: [81][1240/5005] Time 0.216 (0.210) Data 0.041 (0.049) Loss 2.3200 (2.2703) Prec@1 47.266 (47.915) Prec@5 71.484 (73.213)
Epoch: [81][1250/5005] Time 0.212 (0.210) Data 0.044 (0.049) Loss 2.6673 (2.2709) Prec@1 42.188 (47.912) Prec@5 65.234 (73.201)
Epoch: [81][1260/5005] Time 0.200 (0.210) Data 0.041 (0.049) Loss 1.9996 (2.2700) Prec@1 50.781 (47.924) Prec@5 77.344 (73.223)
Epoch: [81][1270/5005] Time 0.211 (0.210) Data 0.040 (0.049) Loss 2.3745 (2.2707) Prec@1 47.656 (47.917) Prec@5 71.484 (73.217)
Epoch: [81][1280/5005] Time 0.206 (0.210) Data 0.040 (0.049) Loss 2.2625 (2.2710) Prec@1 46.484 (47.904) Prec@5 75.000 (73.225)
Epoch: [81][1290/5005] Time 0.210 (0.210) Data 0.043 (0.049) Loss 1.9817 (2.2703) Prec@1 52.734 (47.913) Prec@5 77.734 (73.236)
Epoch: [81][1300/5005] Time 0.214 (0.210) Data 0.045 (0.049) Loss 2.0773 (2.2703) Prec@1 54.297 (47.917) Prec@5 74.609 (73.242)
Epoch: [81][1310/5005] Time 0.202 (0.210) Data 0.053 (0.049) Loss 2.2612 (2.2701) Prec@1 44.922 (47.919) Prec@5 74.609 (73.248)
Epoch: [81][1320/5005] Time 0.206 (0.210) Data 0.040 (0.049) Loss 2.2991 (2.2701) Prec@1 50.000 (47.931) Prec@5 74.609 (73.239)
Epoch: [81][1330/5005] Time 0.208 (0.210) Data 0.044 (0.049) Loss 2.4309 (2.2705) Prec@1 46.094 (47.927) Prec@5 69.141 (73.226)
Epoch: [81][1340/5005] Time 0.216 (0.210) Data 0.042 (0.049) Loss 2.3147 (2.2704) Prec@1 47.266 (47.934) Prec@5 72.266 (73.227)
Epoch: [81][1350/5005] Time 0.210 (0.210) Data 0.046 (0.049) Loss 2.6155 (2.2705) Prec@1 44.922 (47.938) Prec@5 67.969 (73.226)
Epoch: [81][1360/5005] Time 0.209 (0.210) Data 0.048 (0.049) Loss 2.1997 (2.2705) Prec@1 50.781 (47.939) Prec@5 73.047 (73.224)
Epoch: [81][1370/5005] Time 0.207 (0.210) Data 0.045 (0.049) Loss 2.3936 (2.2701) Prec@1 45.703 (47.942) Prec@5 72.656 (73.233)
Epoch: [81][1380/5005] Time 0.212 (0.210) Data 0.044 (0.049) Loss 2.2269 (2.2697) Prec@1 50.781 (47.948) Prec@5 75.781 (73.242)
Epoch: [81][1390/5005] Time 0.213 (0.210) Data 0.043 (0.049) Loss 2.2194 (2.2695) Prec@1 48.047 (47.949) Prec@5 72.656 (73.243)
Epoch: [81][1400/5005] Time 0.203 (0.210) Data 0.050 (0.049) Loss 2.3635 (2.2690) Prec@1 43.750 (47.947) Prec@5 72.656 (73.256)
Epoch: [81][1410/5005] Time 0.212 (0.210) Data 0.044 (0.049) Loss 2.2360 (2.2688) Prec@1 48.438 (47.946) Prec@5 73.828 (73.263)
Epoch: [81][1420/5005] Time 0.208 (0.210) Data 0.046 (0.049) Loss 2.4587 (2.2690) Prec@1 44.531 (47.939) Prec@5 68.750 (73.257)
Epoch: [81][1430/5005] Time 0.206 (0.210) Data 0.054 (0.049) Loss 1.9959 (2.2688) Prec@1 50.781 (47.945) Prec@5 75.781 (73.259)
Epoch: [81][1440/5005] Time 0.211 (0.210) Data 0.045 (0.049) Loss 1.9869 (2.2686) Prec@1 54.688 (47.943) Prec@5 78.906 (73.263)
Epoch: [81][1450/5005] Time 0.215 (0.210) Data 0.043 (0.049) Loss 2.2656 (2.2687) Prec@1 48.828 (47.941) Prec@5 71.875 (73.253)
Epoch: [81][1460/5005] Time 0.210 (0.210) Data 0.046 (0.049) Loss 2.3703 (2.2688) Prec@1 44.531 (47.943) Prec@5 70.703 (73.252)
Epoch: [81][1470/5005] Time 0.220 (0.210) Data 0.042 (0.049) Loss 2.2526 (2.2690) Prec@1 48.438 (47.942) Prec@5 74.219 (73.251)
Epoch: [81][1480/5005] Time 0.215 (0.210) Data 0.048 (0.049) Loss 2.0965 (2.2691) Prec@1 52.344 (47.945) Prec@5 74.219 (73.248)
Epoch: [81][1490/5005] Time 0.215 (0.210) Data 0.043 (0.049) Loss 2.5317 (2.2690) Prec@1 46.094 (47.947) Prec@5 67.969 (73.254)
Epoch: [81][1500/5005] Time 0.211 (0.210) Data 0.044 (0.049) Loss 2.3069 (2.2689) Prec@1 48.828 (47.952) Prec@5 72.266 (73.252)
Epoch: [81][1510/5005] Time 0.211 (0.210) Data 0.044 (0.049) Loss 1.9965 (2.2687) Prec@1 51.562 (47.955) Prec@5 76.953 (73.253)
Epoch: [81][1520/5005] Time 0.204 (0.210) Data 0.042 (0.049) Loss 2.3497 (2.2684) Prec@1 47.266 (47.960) Prec@5 71.875 (73.256)
Epoch: [81][1530/5005] Time 0.219 (0.210) Data 0.044 (0.049) Loss 2.3890 (2.2683) Prec@1 46.484 (47.964) Prec@5 71.875 (73.257)
Epoch: [81][1540/5005] Time 0.210 (0.210) Data 0.070 (0.049) Loss 2.4018 (2.2685) Prec@1 45.703 (47.960) Prec@5 69.141 (73.252)
Epoch: [81][1550/5005] Time 0.207 (0.210) Data 0.057 (0.049) Loss 2.2244 (2.2682) Prec@1 47.656 (47.961) Prec@5 76.172 (73.261)
Epoch: [81][1560/5005] Time 0.214 (0.210) Data 0.043 (0.049) Loss 2.0915 (2.2684) Prec@1 54.688 (47.958) Prec@5 74.609 (73.259)
Epoch: [81][1570/5005] Time 0.212 (0.210) Data 0.042 (0.049) Loss 2.2436 (2.2681) Prec@1 45.703 (47.968) Prec@5 74.609 (73.265)
Epoch: [81][1580/5005] Time 0.217 (0.210) Data 0.046 (0.049) Loss 2.1946 (2.2681) Prec@1 52.344 (47.967) Prec@5 73.438 (73.269)
Epoch: [81][1590/5005] Time 0.201 (0.210) Data 0.046 (0.049) Loss 2.2099 (2.2680) Prec@1 50.000 (47.969) Prec@5 70.703 (73.270)
Epoch: [81][1600/5005] Time 0.217 (0.210) Data 0.043 (0.049) Loss 2.3494 (2.2680) Prec@1 45.312 (47.969) Prec@5 69.531 (73.269)
Epoch: [81][1610/5005] Time 0.208 (0.210) Data 0.042 (0.049) Loss 2.3716 (2.2680) Prec@1 50.000 (47.977) Prec@5 75.000 (73.270)
Epoch: [81][1620/5005] Time 0.217 (0.210) Data 0.054 (0.049) Loss 2.3714 (2.2677) Prec@1 46.875 (47.971) Prec@5 71.094 (73.277)
Epoch: [81][1630/5005] Time 0.208 (0.210) Data 0.047 (0.049) Loss 2.1695 (2.2675) Prec@1 47.266 (47.972) Prec@5 73.828 (73.277)
Epoch: [81][1640/5005] Time 0.209 (0.210) Data 0.048 (0.049) Loss 2.2489 (2.2675) Prec@1 53.125 (47.976) Prec@5 75.000 (73.277)
Epoch: [81][1650/5005] Time 0.209 (0.210) Data 0.044 (0.049) Loss 2.3824 (2.2675) Prec@1 46.484 (47.978) Prec@5 70.312 (73.273)
Epoch: [81][1660/5005] Time 0.213 (0.210) Data 0.052 (0.049) Loss 2.1604 (2.2669) Prec@1 51.953 (47.994) Prec@5 75.781 (73.283)
Epoch: [81][1670/5005] Time 0.209 (0.210) Data 0.053 (0.049) Loss 2.0224 (2.2670) Prec@1 51.562 (47.999) Prec@5 74.219 (73.285)
Epoch: [81][1680/5005] Time 0.212 (0.210) Data 0.051 (0.049) Loss 2.4230 (2.2676) Prec@1 48.828 (47.996) Prec@5 72.656 (73.276)
Epoch: [81][1690/5005] Time 0.214 (0.210) Data 0.043 (0.049) Loss 2.1953 (2.2675) Prec@1 51.172 (47.996) Prec@5 75.000 (73.282)
Epoch: [81][1700/5005] Time 0.210 (0.210) Data 0.046 (0.049) Loss 2.2334 (2.2669) Prec@1 49.219 (48.001) Prec@5 73.047 (73.293)
Epoch: [81][1710/5005] Time 0.206 (0.210) Data 0.041 (0.049) Loss 2.2611 (2.2665) Prec@1 50.000 (48.004) Prec@5 73.828 (73.301)
Epoch: [81][1720/5005] Time 0.211 (0.210) Data 0.046 (0.049) Loss 2.2729 (2.2666) Prec@1 49.609 (48.004) Prec@5 74.219 (73.300)
Epoch: [81][1730/5005] Time 0.202 (0.210) Data 0.043 (0.049) Loss 2.1267 (2.2667) Prec@1 47.266 (48.003) Prec@5 74.219 (73.302)
Epoch: [81][1740/5005] Time 0.202 (0.210) Data 0.042 (0.049) Loss 2.4344 (2.2665) Prec@1 45.312 (48.009) Prec@5 69.141 (73.304)
Epoch: [81][1750/5005] Time 0.214 (0.210) Data 0.044 (0.049) Loss 2.2328 (2.2661) Prec@1 44.141 (48.015) Prec@5 74.219 (73.309)
Epoch: [81][1760/5005] Time 0.222 (0.210) Data 0.046 (0.049) Loss 2.0035 (2.2658) Prec@1 51.953 (48.023) Prec@5 79.297 (73.317)
Epoch: [81][1770/5005] Time 0.204 (0.210) Data 0.044 (0.049) Loss 2.3266 (2.2655) Prec@1 48.828 (48.033) Prec@5 73.047 (73.325)
Epoch: [81][1780/5005] Time 0.212 (0.210) Data 0.048 (0.049) Loss 2.2138 (2.2654) Prec@1 47.656 (48.033) Prec@5 74.609 (73.330)
Epoch: [81][1790/5005] Time 0.199 (0.210) Data 0.058 (0.049) Loss 2.1023 (2.2651) Prec@1 49.219 (48.038) Prec@5 75.781 (73.331)
Epoch: [81][1800/5005] Time 0.210 (0.210) Data 0.050 (0.049) Loss 2.1801 (2.2649) Prec@1 50.781 (48.041) Prec@5 75.000 (73.334)
Epoch: [81][1810/5005] Time 0.203 (0.210) Data 0.048 (0.049) Loss 2.2158 (2.2648) Prec@1 51.172 (48.040) Prec@5 71.094 (73.331)
Epoch: [81][1820/5005] Time 0.209 (0.210) Data 0.051 (0.049) Loss 2.3750 (2.2649) Prec@1 42.969 (48.037) Prec@5 73.828 (73.332)
Epoch: [81][1830/5005] Time 0.213 (0.210) Data 0.049 (0.049) Loss 2.0643 (2.2643) Prec@1 52.734 (48.045) Prec@5 76.562 (73.340)
Epoch: [81][1840/5005] Time 0.223 (0.210) Data 0.045 (0.049) Loss 2.3585 (2.2643) Prec@1 43.750 (48.043) Prec@5 71.484 (73.348)
Epoch: [81][1850/5005] Time 0.201 (0.210) Data 0.051 (0.049) Loss 2.1803 (2.2640) Prec@1 51.172 (48.045) Prec@5 73.047 (73.349)
Epoch: [81][1860/5005] Time 0.213 (0.210) Data 0.043 (0.049) Loss 2.2051 (2.2640) Prec@1 49.609 (48.044) Prec@5 75.391 (73.347)
Epoch: [81][1870/5005] Time 0.211 (0.210) Data 0.042 (0.048) Loss 2.5207 (2.2643) Prec@1 43.359 (48.044) Prec@5 69.531 (73.346)
Epoch: [81][1880/5005] Time 0.213 (0.210) Data 0.045 (0.048) Loss 2.2901 (2.2645) Prec@1 50.000 (48.039) Prec@5 71.875 (73.343)
Epoch: [81][1890/5005] Time 0.211 (0.210) Data 0.047 (0.048) Loss 2.3361 (2.2643) Prec@1 48.047 (48.043) Prec@5 73.828 (73.343)
Epoch: [81][1900/5005] Time 0.213 (0.210) Data 0.045 (0.048) Loss 2.3023 (2.2649) Prec@1 50.000 (48.033) Prec@5 72.656 (73.337)
Epoch: [81][1910/5005] Time 0.197 (0.210) Data 0.063 (0.048) Loss 2.2319 (2.2648) Prec@1 44.922 (48.028) Prec@5 73.047 (73.339)
Epoch: [81][1920/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.0438 (2.2646) Prec@1 52.344 (48.027) Prec@5 79.688 (73.343)
Epoch: [81][1930/5005] Time 0.205 (0.210) Data 0.048 (0.048) Loss 2.1612 (2.2643) Prec@1 50.781 (48.034) Prec@5 75.391 (73.352)
Epoch: [81][1940/5005] Time 0.196 (0.210) Data 0.062 (0.048) Loss 2.2038 (2.2642) Prec@1 51.953 (48.031) Prec@5 76.172 (73.355)
Epoch: [81][1950/5005] Time 0.210 (0.210) Data 0.048 (0.048) Loss 2.3828 (2.2640) Prec@1 46.875 (48.038) Prec@5 72.656 (73.358)
Epoch: [81][1960/5005] Time 0.204 (0.210) Data 0.044 (0.048) Loss 2.1041 (2.2638) Prec@1 48.828 (48.038) Prec@5 78.906 (73.366)
Epoch: [81][1970/5005] Time 0.197 (0.210) Data 0.042 (0.048) Loss 2.2350 (2.2639) Prec@1 49.609 (48.034) Prec@5 75.000 (73.363)
Epoch: [81][1980/5005] Time 0.201 (0.210) Data 0.052 (0.048) Loss 2.0123 (2.2638) Prec@1 53.516 (48.037) Prec@5 75.391 (73.364)
Epoch: [81][1990/5005] Time 0.202 (0.210) Data 0.051 (0.048) Loss 2.0636 (2.2636) Prec@1 52.734 (48.039) Prec@5 77.734 (73.366)
Epoch: [81][2000/5005] Time 0.215 (0.210) Data 0.045 (0.048) Loss 2.1592 (2.2639) Prec@1 49.609 (48.040) Prec@5 74.219 (73.361)
Epoch: [81][2010/5005] Time 0.205 (0.210) Data 0.040 (0.048) Loss 2.0672 (2.2639) Prec@1 51.172 (48.038) Prec@5 78.516 (73.362)
Epoch: [81][2020/5005] Time 0.203 (0.210) Data 0.052 (0.048) Loss 2.2798 (2.2639) Prec@1 48.047 (48.038) Prec@5 76.562 (73.362)
Epoch: [81][2030/5005] Time 0.202 (0.210) Data 0.040 (0.048) Loss 2.2209 (2.2640) Prec@1 47.266 (48.042) Prec@5 75.391 (73.355)
Epoch: [81][2040/5005] Time 0.210 (0.210) Data 0.046 (0.048) Loss 2.0908 (2.2639) Prec@1 48.047 (48.044) Prec@5 75.000 (73.358)
Epoch: [81][2050/5005] Time 0.200 (0.210) Data 0.044 (0.048) Loss 2.3862 (2.2639) Prec@1 49.609 (48.037) Prec@5 67.969 (73.362)
Epoch: [81][2060/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.2666 (2.2639) Prec@1 44.922 (48.036) Prec@5 72.266 (73.360)
Epoch: [81][2070/5005] Time 0.216 (0.210) Data 0.044 (0.048) Loss 2.4465 (2.2642) Prec@1 46.094 (48.030) Prec@5 69.141 (73.354)
Epoch: [81][2080/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.3707 (2.2643) Prec@1 47.656 (48.026) Prec@5 72.266 (73.351)
Epoch: [81][2090/5005] Time 0.214 (0.210) Data 0.045 (0.048) Loss 2.0528 (2.2639) Prec@1 50.000 (48.035) Prec@5 73.438 (73.353)
Epoch: [81][2100/5005] Time 0.202 (0.210) Data 0.043 (0.048) Loss 2.2536 (2.2636) Prec@1 48.047 (48.040) Prec@5 73.047 (73.355)
Epoch: [81][2110/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.0827 (2.2636) Prec@1 48.828 (48.042) Prec@5 78.125 (73.355)
Epoch: [81][2120/5005] Time 0.212 (0.210) Data 0.050 (0.048) Loss 2.3388 (2.2634) Prec@1 47.266 (48.051) Prec@5 72.656 (73.362)
Epoch: [81][2130/5005] Time 0.204 (0.210) Data 0.043 (0.048) Loss 2.2520 (2.2631) Prec@1 48.047 (48.057) Prec@5 72.656 (73.371)
Epoch: [81][2140/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.3216 (2.2631) Prec@1 46.875 (48.057) Prec@5 72.266 (73.367)
Epoch: [81][2150/5005] Time 0.202 (0.210) Data 0.043 (0.048) Loss 2.0847 (2.2631) Prec@1 53.516 (48.056) Prec@5 74.219 (73.365)
Epoch: [81][2160/5005] Time 0.207 (0.210) Data 0.045 (0.048) Loss 2.3395 (2.2632) Prec@1 45.703 (48.055) Prec@5 72.266 (73.364)
Epoch: [81][2170/5005] Time 0.211 (0.210) Data 0.041 (0.048) Loss 2.0594 (2.2629) Prec@1 52.344 (48.065) Prec@5 78.125 (73.369)
Epoch: [81][2180/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.2266 (2.2629) Prec@1 52.734 (48.064) Prec@5 73.438 (73.370)
Epoch: [81][2190/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.5801 (2.2630) Prec@1 42.578 (48.063) Prec@5 68.359 (73.370)
Epoch: [81][2200/5005] Time 0.204 (0.210) Data 0.042 (0.048) Loss 2.2596 (2.2633) Prec@1 48.828 (48.056) Prec@5 75.391 (73.365)
Epoch: [81][2210/5005] Time 0.209 (0.210) Data 0.044 (0.048) Loss 2.3041 (2.2636) Prec@1 45.312 (48.047) Prec@5 73.047 (73.361)
Epoch: [81][2220/5005] Time 0.207 (0.210) Data 0.044 (0.048) Loss 2.3633 (2.2634) Prec@1 47.656 (48.050) Prec@5 69.922 (73.360)
Epoch: [81][2230/5005] Time 0.206 (0.210) Data 0.042 (0.048) Loss 2.3537 (2.2634) Prec@1 48.438 (48.049) Prec@5 73.047 (73.358)
Epoch: [81][2240/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.2448 (2.2635) Prec@1 48.438 (48.046) Prec@5 73.438 (73.356)
Epoch: [81][2250/5005] Time 0.214 (0.210) Data 0.050 (0.048) Loss 2.0406 (2.2635) Prec@1 50.391 (48.048) Prec@5 78.516 (73.358)
Epoch: [81][2260/5005] Time 0.217 (0.210) Data 0.042 (0.048) Loss 2.2359 (2.2633) Prec@1 48.828 (48.052) Prec@5 74.219 (73.360)
Epoch: [81][2270/5005] Time 0.202 (0.210) Data 0.047 (0.048) Loss 2.3949 (2.2630) Prec@1 45.312 (48.057) Prec@5 70.312 (73.365)
Epoch: [81][2280/5005] Time 0.208 (0.210) Data 0.048 (0.048) Loss 2.3132 (2.2630) Prec@1 50.391 (48.054) Prec@5 74.219 (73.364)
Epoch: [81][2290/5005] Time 0.215 (0.210) Data 0.043 (0.048) Loss 2.1318 (2.2631) Prec@1 50.781 (48.058) Prec@5 75.391 (73.364)
Epoch: [81][2300/5005] Time 0.204 (0.210) Data 0.047 (0.048) Loss 2.2937 (2.2631) Prec@1 45.312 (48.060) Prec@5 71.094 (73.363)
Epoch: [81][2310/5005] Time 0.209 (0.210) Data 0.049 (0.048) Loss 2.1070 (2.2630) Prec@1 50.781 (48.068) Prec@5 73.438 (73.363)
Epoch: [81][2320/5005] Time 0.215 (0.210) Data 0.044 (0.048) Loss 2.3174 (2.2630) Prec@1 47.656 (48.068) Prec@5 73.047 (73.366)
Epoch: [81][2330/5005] Time 0.205 (0.210) Data 0.038 (0.048) Loss 2.1072 (2.2629) Prec@1 49.609 (48.069) Prec@5 77.734 (73.370)
Epoch: [81][2340/5005] Time 0.218 (0.210) Data 0.043 (0.048) Loss 2.1619 (2.2627) Prec@1 48.828 (48.070) Prec@5 74.219 (73.370)
Epoch: [81][2350/5005] Time 0.205 (0.210) Data 0.040 (0.048) Loss 2.1754 (2.2625) Prec@1 49.609 (48.073) Prec@5 73.438 (73.373)
Epoch: [81][2360/5005] Time 0.209 (0.210) Data 0.045 (0.048) Loss 2.2390 (2.2625) Prec@1 47.266 (48.072) Prec@5 75.000 (73.375)
Epoch: [81][2370/5005] Time 0.196 (0.210) Data 0.058 (0.048) Loss 2.2865 (2.2625) Prec@1 47.656 (48.071) Prec@5 72.656 (73.377)
Epoch: [81][2380/5005] Time 0.210 (0.210) Data 0.045 (0.048) Loss 2.2595 (2.2622) Prec@1 46.484 (48.076) Prec@5 75.781 (73.384)
Epoch: [81][2390/5005] Time 0.212 (0.210) Data 0.047 (0.048) Loss 2.2557 (2.2621) Prec@1 49.609 (48.077) Prec@5 71.094 (73.385)
Epoch: [81][2400/5005] Time 0.208 (0.210) Data 0.047 (0.048) Loss 2.2991 (2.2621) Prec@1 45.703 (48.078) Prec@5 75.000 (73.388)
Epoch: [81][2410/5005] Time 0.196 (0.210) Data 0.058 (0.048) Loss 2.5798 (2.2621) Prec@1 41.406 (48.075) Prec@5 67.578 (73.387)
Epoch: [81][2420/5005] Time 0.197 (0.210) Data 0.051 (0.048) Loss 2.2751 (2.2619) Prec@1 48.438 (48.081) Prec@5 75.391 (73.394)
Epoch: [81][2430/5005] Time 0.208 (0.210) Data 0.047 (0.048) Loss 2.1450 (2.2619) Prec@1 50.781 (48.080) Prec@5 75.391 (73.391)
Epoch: [81][2440/5005] Time 0.219 (0.210) Data 0.046 (0.048) Loss 2.0054 (2.2619) Prec@1 52.734 (48.083) Prec@5 76.953 (73.388)
Epoch: [81][2450/5005] Time 0.199 (0.210) Data 0.057 (0.048) Loss 2.2237 (2.2617) Prec@1 50.000 (48.088) Prec@5 72.266 (73.388)
Epoch: [81][2460/5005] Time 0.206 (0.210) Data 0.048 (0.048) Loss 2.2875 (2.2616) Prec@1 49.219 (48.089) Prec@5 69.922 (73.387)
Epoch: [81][2470/5005] Time 0.205 (0.210) Data 0.047 (0.048) Loss 2.1300 (2.2614) Prec@1 48.438 (48.090) Prec@5 74.219 (73.393)
Epoch: [81][2480/5005] Time 0.206 (0.210) Data 0.045 (0.048) Loss 2.2994 (2.2615) Prec@1 46.094 (48.086) Prec@5 73.828 (73.391)
Epoch: [81][2490/5005] Time 0.196 (0.210) Data 0.057 (0.048) Loss 2.1250 (2.2615) Prec@1 49.609 (48.084) Prec@5 76.562 (73.393)
Epoch: [81][2500/5005] Time 0.199 (0.209) Data 0.051 (0.048) Loss 2.2359 (2.2614) Prec@1 48.047 (48.085) Prec@5 73.438 (73.395)
Epoch: [81][2510/5005] Time 0.195 (0.209) Data 0.052 (0.048) Loss 2.2926 (2.2614) Prec@1 49.609 (48.084) Prec@5 74.219 (73.397)
Epoch: [81][2520/5005] Time 0.203 (0.209) Data 0.051 (0.048) Loss 2.1515 (2.2612) Prec@1 52.734 (48.087) Prec@5 73.828 (73.395)
Epoch: [81][2530/5005] Time 0.213 (0.209) Data 0.043 (0.048) Loss 2.3877 (2.2612) Prec@1 47.656 (48.088) Prec@5 70.703 (73.396)
Epoch: [81][2540/5005] Time 0.208 (0.209) Data 0.045 (0.048) Loss 2.2670 (2.2612) Prec@1 45.312 (48.093) Prec@5 73.438 (73.397)
Epoch: [81][2550/5005] Time 0.199 (0.209) Data 0.052 (0.048) Loss 2.3375 (2.2611) Prec@1 46.094 (48.093) Prec@5 74.219 (73.401)
Epoch: [81][2560/5005] Time 0.202 (0.209) Data 0.045 (0.048) Loss 2.4256 (2.2611) Prec@1 44.141 (48.099) Prec@5 70.703 (73.398)
Epoch: [81][2570/5005] Time 0.206 (0.209) Data 0.043 (0.048) Loss 2.3603 (2.2611) Prec@1 44.531 (48.098) Prec@5 71.875 (73.400)
Epoch: [81][2580/5005] Time 0.218 (0.209) Data 0.042 (0.048) Loss 2.3674 (2.2614) Prec@1 47.656 (48.090) Prec@5 71.484 (73.394)
Epoch: [81][2590/5005] Time 0.213 (0.209) Data 0.047 (0.048) Loss 2.3832 (2.2612) Prec@1 47.656 (48.096) Prec@5 71.875 (73.398)
Epoch: [81][2600/5005] Time 0.206 (0.209) Data 0.045 (0.048) Loss 2.4319 (2.2613) Prec@1 49.219 (48.097) Prec@5 71.094 (73.392)
Epoch: [81][2610/5005] Time 0.208 (0.209) Data 0.047 (0.048) Loss 2.4386 (2.2611) Prec@1 41.016 (48.100) Prec@5 67.578 (73.393)
Epoch: [81][2620/5005] Time 0.210 (0.209) Data 0.043 (0.048) Loss 2.1914 (2.2611) Prec@1 47.656 (48.104) Prec@5 71.875 (73.391)
Epoch: [81][2630/5005] Time 0.208 (0.209) Data 0.041 (0.048) Loss 2.4241 (2.2614) Prec@1 46.094 (48.104) Prec@5 69.531 (73.384)
Epoch: [81][2640/5005] Time 0.214 (0.209) Data 0.044 (0.048) Loss 2.4413 (2.2615) Prec@1 45.703 (48.101) Prec@5 68.359 (73.377)
Epoch: [81][2650/5005] Time 0.210 (0.209) Data 0.042 (0.048) Loss 2.5183 (2.2616) Prec@1 44.141 (48.101) Prec@5 69.141 (73.375)
Epoch: [81][2660/5005] Time 0.205 (0.209) Data 0.058 (0.048) Loss 2.2131 (2.2615) Prec@1 48.438 (48.107) Prec@5 73.047 (73.376)
Epoch: [81][2670/5005] Time 0.194 (0.209) Data 0.053 (0.048) Loss 1.9661 (2.2613) Prec@1 52.344 (48.111) Prec@5 78.125 (73.377)
Epoch: [81][2680/5005] Time 0.201 (0.209) Data 0.059 (0.048) Loss 2.1366 (2.2611) Prec@1 51.172 (48.116) Prec@5 73.828 (73.378)
Epoch: [81][2690/5005] Time 0.200 (0.209) Data 0.045 (0.048) Loss 1.9800 (2.2610) Prec@1 54.297 (48.117) Prec@5 78.906 (73.380)
Epoch: [81][2700/5005] Time 0.203 (0.209) Data 0.055 (0.048) Loss 2.1550 (2.2611) Prec@1 47.266 (48.113) Prec@5 75.391 (73.380)
Epoch: [81][2710/5005] Time 0.210 (0.209) Data 0.044 (0.048) Loss 2.1530 (2.2611) Prec@1 49.609 (48.113) Prec@5 78.125 (73.379)
Epoch: [81][2720/5005] Time 0.206 (0.209) Data 0.040 (0.048) Loss 2.3502 (2.2611) Prec@1 47.266 (48.114) Prec@5 73.047 (73.384)
Epoch: [81][2730/5005] Time 0.214 (0.209) Data 0.044 (0.048) Loss 2.2573 (2.2609) Prec@1 49.609 (48.120) Prec@5 73.828 (73.389)
Epoch: [81][2740/5005] Time 0.211 (0.209) Data 0.042 (0.048) Loss 2.2308 (2.2609) Prec@1 49.219 (48.119) Prec@5 72.266 (73.390)
Epoch: [81][2750/5005] Time 0.199 (0.209) Data 0.046 (0.048) Loss 2.2165 (2.2606) Prec@1 47.266 (48.124) Prec@5 75.000 (73.395)
Epoch: [81][2760/5005] Time 0.210 (0.209) Data 0.045 (0.048) Loss 2.1616 (2.2604) Prec@1 46.875 (48.128) Prec@5 76.562 (73.402)
Epoch: [81][2770/5005] Time 0.209 (0.209) Data 0.042 (0.048) Loss 2.1632 (2.2604) Prec@1 43.750 (48.127) Prec@5 78.125 (73.404)
Epoch: [81][2780/5005] Time 0.215 (0.209) Data 0.046 (0.048) Loss 2.3893 (2.2605) Prec@1 44.531 (48.126) Prec@5 71.484 (73.403)
Epoch: [81][2790/5005] Time 0.214 (0.209) Data 0.044 (0.048) Loss 2.5321 (2.2608) Prec@1 44.141 (48.124) Prec@5 67.578 (73.403)
Epoch: [81][2800/5005] Time 0.212 (0.209) Data 0.044 (0.048) Loss 2.0484 (2.2607) Prec@1 53.125 (48.127) Prec@5 77.344 (73.405)
Epoch: [81][2810/5005] Time 0.204 (0.209) Data 0.040 (0.048) Loss 2.4212 (2.2607) Prec@1 49.219 (48.128) Prec@5 71.875 (73.401)
Epoch: [81][2820/5005] Time 0.209 (0.209) Data 0.047 (0.048) Loss 1.9787 (2.2605) Prec@1 49.609 (48.132) Prec@5 75.391 (73.404)
Epoch: [81][2830/5005] Time 0.212 (0.209) Data 0.044 (0.048) Loss 2.4879 (2.2605) Prec@1 45.703 (48.133) Prec@5 68.359 (73.402)
Epoch: [81][2840/5005] Time 0.200 (0.209) Data 0.054 (0.048) Loss 2.2549 (2.2606) Prec@1 46.875 (48.132) Prec@5 73.047 (73.401)
Epoch: [81][2850/5005] Time 0.206 (0.209) Data 0.045 (0.048) Loss 2.1840 (2.2605) Prec@1 50.781 (48.136) Prec@5 73.438 (73.402)
Epoch: [81][2860/5005] Time 0.205 (0.209) Data 0.048 (0.048) Loss 2.2090 (2.2607) Prec@1 50.781 (48.137) Prec@5 73.438 (73.399)
Epoch: [81][2870/5005] Time 0.203 (0.209) Data 0.048 (0.048) Loss 2.0845 (2.2605) Prec@1 52.344 (48.141) Prec@5 78.125 (73.405)
Epoch: [81][2880/5005] Time 0.213 (0.209) Data 0.042 (0.048) Loss 2.1997 (2.2605) Prec@1 47.656 (48.143) Prec@5 76.172 (73.405)
Epoch: [81][2890/5005] Time 0.216 (0.209) Data 0.047 (0.048) Loss 2.1956 (2.2603) Prec@1 45.312 (48.146) Prec@5 77.344 (73.408)
Epoch: [81][2900/5005] Time 0.202 (0.209) Data 0.051 (0.048) Loss 1.9801 (2.2601) Prec@1 55.469 (48.151) Prec@5 79.297 (73.412)
Epoch: [81][2910/5005] Time 0.207 (0.209) Data 0.042 (0.048) Loss 2.1614 (2.2599) Prec@1 48.047 (48.151) Prec@5 75.000 (73.415)
Epoch: [81][2920/5005] Time 0.209 (0.209) Data 0.051 (0.048) Loss 2.4246 (2.2601) Prec@1 46.875 (48.149) Prec@5 70.703 (73.415)
Epoch: [81][2930/5005] Time 0.216 (0.209) Data 0.046 (0.048) Loss 2.2572 (2.2601) Prec@1 48.438 (48.148) Prec@5 73.828 (73.416)
Epoch: [81][2940/5005] Time 0.212 (0.209) Data 0.043 (0.048) Loss 2.3877 (2.2598) Prec@1 43.750 (48.152) Prec@5 70.703 (73.422)
Epoch: [81][2950/5005] Time 0.209 (0.209) Data 0.044 (0.048) Loss 2.4512 (2.2595) Prec@1 42.969 (48.156) Prec@5 73.438 (73.427)
Epoch: [81][2960/5005] Time 0.208 (0.209) Data 0.041 (0.048) Loss 2.2157 (2.2593) Prec@1 48.828 (48.163) Prec@5 74.609 (73.431)
Epoch: [81][2970/5005] Time 0.214 (0.209) Data 0.040 (0.048) Loss 2.3313 (2.2592) Prec@1 46.094 (48.163) Prec@5 71.094 (73.431)
Epoch: [81][2980/5005] Time 0.189 (0.209) Data 0.052 (0.048) Loss 2.4020 (2.2592) Prec@1 44.531 (48.166) Prec@5 72.656 (73.434)
Epoch: [81][2990/5005] Time 0.208 (0.209) Data 0.052 (0.048) Loss 2.1497 (2.2592) Prec@1 51.562 (48.163) Prec@5 74.609 (73.433)
Epoch: [81][3000/5005] Time 0.204 (0.209) Data 0.043 (0.048) Loss 2.2807 (2.2591) Prec@1 43.750 (48.165) Prec@5 72.656 (73.436)
Epoch: [81][3010/5005] Time 0.213 (0.209) Data 0.048 (0.048) Loss 2.2383 (2.2592) Prec@1 48.047 (48.162) Prec@5 71.875 (73.433)
Epoch: [81][3020/5005] Time 0.214 (0.209) Data 0.047 (0.048) Loss 2.1091 (2.2594) Prec@1 47.266 (48.158) Prec@5 73.828 (73.427)
Epoch: [81][3030/5005] Time 0.213 (0.209) Data 0.043 (0.048) Loss 2.2359 (2.2593) Prec@1 52.734 (48.162) Prec@5 74.219 (73.429)
Epoch: [81][3040/5005] Time 0.191 (0.209) Data 0.055 (0.048) Loss 2.1196 (2.2592) Prec@1 51.172 (48.169) Prec@5 75.781 (73.427)
Epoch: [81][3050/5005] Time 0.210 (0.209) Data 0.047 (0.048) Loss 2.1126 (2.2591) Prec@1 49.219 (48.174) Prec@5 75.781 (73.429)
Epoch: [81][3060/5005] Time 0.214 (0.209) Data 0.043 (0.048) Loss 2.0865 (2.2589) Prec@1 51.562 (48.174) Prec@5 76.562 (73.432)
Epoch: [81][3070/5005] Time 0.213 (0.209) Data 0.044 (0.048) Loss 2.1844 (2.2591) Prec@1 49.219 (48.172) Prec@5 75.000 (73.431)
Epoch: [81][3080/5005] Time 0.209 (0.209) Data 0.040 (0.048) Loss 2.1357 (2.2591) Prec@1 48.828 (48.171) Prec@5 77.734 (73.432)
Epoch: [81][3090/5005] Time 0.209 (0.209) Data 0.042 (0.048) Loss 2.4943 (2.2591) Prec@1 40.234 (48.171) Prec@5 71.484 (73.434)
Epoch: [81][3100/5005] Time 0.212 (0.209) Data 0.044 (0.048) Loss 2.2974 (2.2592) Prec@1 51.562 (48.170) Prec@5 69.922 (73.430)
Epoch: [81][3110/5005] Time 0.205 (0.209) Data 0.040 (0.048) Loss 2.0106 (2.2589) Prec@1 55.078 (48.178) Prec@5 76.172 (73.436)
Epoch: [81][3120/5005] Time 0.207 (0.209) Data 0.045 (0.048) Loss 2.3155 (2.2588) Prec@1 47.656 (48.177) Prec@5 73.438 (73.435)
Epoch: [81][3130/5005] Time 0.203 (0.209) Data 0.045 (0.048) Loss 2.2437 (2.2586) Prec@1 46.875 (48.183) Prec@5 73.828 (73.438)
Epoch: [81][3140/5005] Time 0.208 (0.209) Data 0.044 (0.048) Loss 2.0441 (2.2584) Prec@1 51.172 (48.187) Prec@5 75.000 (73.441)
Epoch: [81][3150/5005] Time 0.199 (0.209) Data 0.042 (0.048) Loss 2.2874 (2.2582) Prec@1 48.438 (48.190) Prec@5 71.484 (73.442)
Epoch: [81][3160/5005] Time 0.214 (0.209) Data 0.042 (0.048) Loss 2.0133 (2.2581) Prec@1 50.000 (48.193) Prec@5 76.562 (73.442)
Epoch: [81][3170/5005] Time 0.207 (0.209) Data 0.047 (0.048) Loss 2.3620 (2.2581) Prec@1 45.312 (48.197) Prec@5 73.438 (73.444)
Epoch: [81][3180/5005] Time 0.210 (0.209) Data 0.043 (0.048) Loss 2.1820 (2.2581) Prec@1 50.000 (48.195) Prec@5 72.656 (73.444)
Epoch: [81][3190/5005] Time 0.212 (0.209) Data 0.043 (0.048) Loss 2.1834 (2.2581) Prec@1 50.000 (48.194) Prec@5 74.609 (73.447)
Epoch: [81][3200/5005] Time 0.191 (0.209) Data 0.048 (0.048) Loss 2.2978 (2.2580) Prec@1 44.922 (48.195) Prec@5 74.219 (73.449)
Epoch: [81][3210/5005] Time 0.211 (0.209) Data 0.042 (0.048) Loss 2.3738 (2.2580) Prec@1 46.094 (48.197) Prec@5 73.438 (73.448)
Epoch: [81][3220/5005] Time 0.209 (0.209) Data 0.043 (0.048) Loss 2.4700 (2.2580) Prec@1 44.141 (48.195) Prec@5 68.359 (73.449)
Epoch: [81][3230/5005] Time 0.202 (0.209) Data 0.043 (0.048) Loss 2.2251 (2.2578) Prec@1 50.781 (48.201) Prec@5 73.438 (73.452)
Epoch: [81][3240/5005] Time 0.215 (0.209) Data 0.042 (0.048) Loss 2.4720 (2.2581) Prec@1 42.188 (48.194) Prec@5 70.703 (73.446)
Epoch: [81][3250/5005] Time 0.212 (0.209) Data 0.051 (0.048) Loss 2.1417 (2.2582) Prec@1 48.828 (48.192) Prec@5 76.953 (73.448)
Epoch: [81][3260/5005] Time 0.204 (0.209) Data 0.043 (0.048) Loss 2.1410 (2.2581) Prec@1 54.297 (48.192) Prec@5 76.562 (73.449)
Epoch: [81][3270/5005] Time 0.210 (0.209) Data 0.049 (0.048) Loss 2.2773 (2.2580) Prec@1 51.172 (48.196) Prec@5 70.703 (73.451)
Epoch: [81][3280/5005] Time 0.203 (0.209) Data 0.045 (0.048) Loss 2.1497 (2.2581) Prec@1 53.125 (48.191) Prec@5 74.219 (73.450)
Epoch: [81][3290/5005] Time 0.198 (0.209) Data 0.045 (0.048) Loss 2.1948 (2.2579) Prec@1 52.344 (48.193) Prec@5 73.047 (73.454)
Epoch: [81][3300/5005] Time 0.196 (0.209) Data 0.059 (0.048) Loss 2.1987 (2.2579) Prec@1 44.922 (48.188) Prec@5 72.266 (73.451)
Epoch: [81][3310/5005] Time 0.205 (0.209) Data 0.050 (0.048) Loss 2.1371 (2.2579) Prec@1 52.734 (48.191) Prec@5 75.000 (73.448)
Epoch: [81][3320/5005] Time 0.203 (0.209) Data 0.054 (0.048) Loss 2.1881 (2.2580) Prec@1 51.172 (48.189) Prec@5 74.609 (73.447)
Epoch: [81][3330/5005] Time 0.205 (0.209) Data 0.049 (0.048) Loss 2.3235 (2.2581) Prec@1 47.656 (48.189) Prec@5 71.484 (73.445)
Epoch: [81][3340/5005] Time 0.214 (0.209) Data 0.044 (0.048) Loss 2.2609 (2.2581) Prec@1 51.953 (48.189) Prec@5 75.000 (73.446)
Epoch: [81][3350/5005] Time 0.206 (0.209) Data 0.050 (0.048) Loss 2.3337 (2.2581) Prec@1 50.391 (48.191) Prec@5 70.703 (73.448)
Epoch: [81][3360/5005] Time 0.195 (0.209) Data 0.050 (0.048) Loss 2.1437 (2.2581) Prec@1 51.953 (48.190) Prec@5 76.953 (73.450)
Epoch: [81][3370/5005] Time 0.207 (0.209) Data 0.042 (0.048) Loss 2.3368 (2.2582) Prec@1 46.094 (48.189) Prec@5 72.656 (73.448)
Epoch: [81][3380/5005] Time 0.202 (0.209) Data 0.041 (0.048) Loss 2.2835 (2.2580) Prec@1 46.094 (48.190) Prec@5 71.484 (73.449)
Epoch: [81][3390/5005] Time 0.206 (0.209) Data 0.045 (0.048) Loss 2.1431 (2.2582) Prec@1 51.172 (48.185) Prec@5 73.047 (73.445)
Epoch: [81][3400/5005] Time 0.198 (0.209) Data 0.051 (0.048) Loss 2.1556 (2.2583) Prec@1 49.609 (48.181) Prec@5 75.391 (73.444)
Epoch: [81][3410/5005] Time 0.209 (0.209) Data 0.049 (0.048) Loss 2.2133 (2.2581) Prec@1 49.609 (48.186) Prec@5 76.953 (73.447)
Epoch: [81][3420/5005] Time 0.210 (0.209) Data 0.047 (0.048) Loss 2.1632 (2.2580) Prec@1 51.562 (48.189) Prec@5 78.125 (73.452)
Epoch: [81][3430/5005] Time 0.211 (0.209) Data 0.044 (0.048) Loss 2.2813 (2.2579) Prec@1 49.609 (48.192) Prec@5 73.828 (73.455)
Epoch: [81][3440/5005] Time 0.216 (0.209) Data 0.051 (0.048) Loss 2.2566 (2.2578) Prec@1 49.609 (48.192) Prec@5 73.047 (73.456)
Epoch: [81][3450/5005] Time 0.215 (0.209) Data 0.046 (0.048) Loss 2.0520 (2.2577) Prec@1 52.734 (48.195) Prec@5 77.344 (73.457)
Epoch: [81][3460/5005] Time 0.212 (0.209) Data 0.044 (0.048) Loss 2.0389 (2.2577) Prec@1 52.734 (48.196) Prec@5 73.828 (73.458)
Epoch: [81][3470/5005] Time 0.213 (0.209) Data 0.047 (0.048) Loss 2.1091 (2.2576) Prec@1 53.906 (48.202) Prec@5 74.609 (73.460)
Epoch: [81][3480/5005] Time 0.203 (0.209) Data 0.043 (0.048) Loss 2.1112 (2.2573) Prec@1 53.125 (48.207) Prec@5 74.219 (73.465)
Epoch: [81][3490/5005] Time 0.212 (0.209) Data 0.047 (0.048) Loss 2.3580 (2.2572) Prec@1 44.922 (48.208) Prec@5 71.875 (73.468)
Epoch: [81][3500/5005] Time 0.199 (0.209) Data 0.043 (0.048) Loss 2.1279 (2.2572) Prec@1 50.000 (48.203) Prec@5 74.609 (73.469)
Epoch: [81][3510/5005] Time 0.210 (0.209) Data 0.044 (0.048) Loss 2.0300 (2.2571) Prec@1 53.906 (48.205) Prec@5 76.953 (73.469)
Epoch: [81][3520/5005] Time 0.212 (0.209) Data 0.054 (0.048) Loss 2.4670 (2.2571) Prec@1 45.703 (48.209) Prec@5 71.094 (73.469)
Epoch: [81][3530/5005] Time 0.196 (0.209) Data 0.049 (0.048) Loss 2.3035 (2.2570) Prec@1 49.609 (48.212) Prec@5 74.219 (73.469)
Epoch: [81][3540/5005] Time 0.203 (0.209) Data 0.055 (0.048) Loss 2.1754 (2.2567) Prec@1 51.562 (48.217) Prec@5 75.391 (73.473)
Epoch: [81][3550/5005] Time 0.201 (0.209) Data 0.045 (0.048) Loss 2.2987 (2.2565) Prec@1 44.141 (48.221) Prec@5 73.828 (73.476)
Epoch: [81][3560/5005] Time 0.215 (0.209) Data 0.043 (0.048) Loss 2.3352 (2.2564) Prec@1 42.969 (48.222) Prec@5 70.703 (73.477)
Epoch: [81][3570/5005] Time 0.215 (0.209) Data 0.045 (0.048) Loss 2.3847 (2.2564) Prec@1 48.047 (48.223) Prec@5 73.438 (73.475)
Epoch: [81][3580/5005] Time 0.206 (0.209) Data 0.042 (0.048) Loss 2.1798 (2.2564) Prec@1 46.484 (48.219) Prec@5 74.609 (73.474)
Epoch: [81][3590/5005] Time 0.204 (0.209) Data 0.050 (0.048) Loss 2.3824 (2.2561) Prec@1 47.656 (48.227) Prec@5 68.359 (73.477)
Epoch: [81][3600/5005] Time 0.215 (0.209) Data 0.046 (0.048) Loss 2.3042 (2.2558) Prec@1 50.391 (48.232) Prec@5 70.703 (73.479)
Epoch: [81][3610/5005] Time 0.214 (0.209) Data 0.050 (0.048) Loss 2.0871 (2.2559) Prec@1 52.734 (48.231) Prec@5 76.953 (73.480)
Epoch: [81][3620/5005] Time 0.203 (0.209) Data 0.051 (0.048) Loss 2.4849 (2.2556) Prec@1 44.531 (48.237) Prec@5 69.531 (73.486)
Epoch: [81][3630/5005] Time 0.206 (0.209) Data 0.058 (0.048) Loss 2.5260 (2.2557) Prec@1 46.875 (48.235) Prec@5 69.531 (73.486)
Epoch: [81][3640/5005] Time 0.208 (0.209) Data 0.061 (0.048) Loss 2.1332 (2.2557) Prec@1 48.438 (48.236) Prec@5 77.734 (73.485)
Epoch: [81][3650/5005] Time 0.196 (0.209) Data 0.065 (0.048) Loss 2.1858 (2.2557) Prec@1 48.828 (48.234) Prec@5 75.391 (73.486)
Epoch: [81][3660/5005] Time 0.198 (0.209) Data 0.046 (0.048) Loss 2.3862 (2.2555) Prec@1 43.750 (48.235) Prec@5 73.047 (73.489)
Epoch: [81][3670/5005] Time 0.219 (0.209) Data 0.045 (0.048) Loss 2.4446 (2.2556) Prec@1 44.922 (48.233) Prec@5 71.875 (73.488)
Epoch: [81][3680/5005] Time 0.197 (0.209) Data 0.045 (0.048) Loss 1.9897 (2.2556) Prec@1 50.391 (48.234) Prec@5 76.172 (73.490)
Epoch: [81][3690/5005] Time 0.212 (0.209) Data 0.046 (0.048) Loss 2.0875 (2.2556) Prec@1 49.219 (48.236) Prec@5 74.609 (73.491)
Epoch: [81][3700/5005] Time 0.197 (0.209) Data 0.043 (0.048) Loss 2.1972 (2.2554) Prec@1 53.125 (48.239) Prec@5 74.609 (73.493)
Epoch: [81][3710/5005] Time 0.212 (0.209) Data 0.040 (0.048) Loss 2.1720 (2.2555) Prec@1 52.734 (48.239) Prec@5 74.609 (73.492)
Epoch: [81][3720/5005] Time 0.211 (0.209) Data 0.041 (0.048) Loss 2.4865 (2.2555) Prec@1 45.312 (48.238) Prec@5 73.438 (73.494)
Epoch: [81][3730/5005] Time 0.207 (0.209) Data 0.038 (0.048) Loss 2.0937 (2.2553) Prec@1 52.734 (48.238) Prec@5 77.734 (73.496)
Epoch: [81][3740/5005] Time 0.206 (0.209) Data 0.044 (0.048) Loss 2.1943 (2.2551) Prec@1 52.734 (48.241) Prec@5 73.438 (73.499)
Epoch: [81][3750/5005] Time 0.212 (0.209) Data 0.050 (0.048) Loss 2.0783 (2.2552) Prec@1 54.297 (48.238) Prec@5 77.734 (73.496)
Epoch: [81][3760/5005] Time 0.212 (0.209) Data 0.043 (0.048) Loss 2.3435 (2.2553) Prec@1 49.609 (48.238) Prec@5 70.703 (73.493)
Epoch: [81][3770/5005] Time 0.209 (0.209) Data 0.038 (0.048) Loss 2.3251 (2.2551) Prec@1 46.094 (48.240) Prec@5 73.438 (73.492)
Epoch: [81][3780/5005] Time 0.207 (0.209) Data 0.041 (0.048) Loss 2.1869 (2.2551) Prec@1 49.609 (48.241) Prec@5 75.000 (73.493)
Epoch: [81][3790/5005] Time 0.209 (0.209) Data 0.046 (0.048) Loss 2.3299 (2.2552) Prec@1 50.000 (48.237) Prec@5 73.438 (73.491)
Epoch: [81][3800/5005] Time 0.202 (0.209) Data 0.045 (0.048) Loss 2.1378 (2.2553) Prec@1 50.391 (48.237) Prec@5 73.438 (73.487)
Epoch: [81][3810/5005] Time 0.212 (0.209) Data 0.046 (0.048) Loss 2.3093 (2.2555) Prec@1 49.219 (48.232) Prec@5 71.875 (73.483)
Epoch: [81][3820/5005] Time 0.215 (0.209) Data 0.044 (0.048) Loss 2.1390 (2.2554) Prec@1 52.344 (48.236) Prec@5 75.000 (73.486)
Epoch: [81][3830/5005] Time 0.214 (0.209) Data 0.042 (0.048) Loss 2.2418 (2.2552) Prec@1 45.703 (48.239) Prec@5 75.391 (73.491)
Epoch: [81][3840/5005] Time 0.211 (0.209) Data 0.044 (0.048) Loss 2.4727 (2.2552) Prec@1 44.922 (48.238) Prec@5 69.531 (73.488)
Epoch: [81][3850/5005] Time 0.202 (0.209) Data 0.046 (0.048) Loss 2.4233 (2.2553) Prec@1 46.484 (48.235) Prec@5 70.312 (73.488)
Epoch: [81][3860/5005] Time 0.202 (0.209) Data 0.039 (0.048) Loss 2.0353 (2.2552) Prec@1 55.859 (48.241) Prec@5 79.688 (73.489)
Epoch: [81][3870/5005] Time 0.207 (0.209) Data 0.050 (0.048) Loss 2.2198 (2.2551) Prec@1 50.391 (48.240) Prec@5 73.438 (73.490)
Epoch: [81][3880/5005] Time 0.205 (0.209) Data 0.051 (0.048) Loss 2.1783 (2.2551) Prec@1 53.125 (48.242) Prec@5 73.047 (73.491)
Epoch: [81][3890/5005] Time 0.210 (0.209) Data 0.044 (0.048) Loss 2.3861 (2.2550) Prec@1 46.484 (48.244) Prec@5 70.312 (73.495)
Epoch: [81][3900/5005] Time 0.214 (0.209) Data 0.041 (0.048) Loss 2.3513 (2.2551) Prec@1 47.656 (48.243) Prec@5 73.828 (73.495)
Epoch: [81][3910/5005] Time 0.199 (0.209) Data 0.056 (0.048) Loss 2.3164 (2.2549) Prec@1 45.312 (48.247) Prec@5 73.047 (73.496)
Epoch: [81][3920/5005] Time 0.209 (0.209) Data 0.049 (0.048) Loss 2.2191 (2.2549) Prec@1 47.266 (48.248) Prec@5 70.703 (73.497)
Epoch: [81][3930/5005] Time 0.190 (0.209) Data 0.049 (0.048) Loss 2.2313 (2.2548) Prec@1 50.391 (48.251) Prec@5 72.656 (73.502)
Epoch: [81][3940/5005] Time 0.202 (0.209) Data 0.060 (0.048) Loss 2.3745 (2.2548) Prec@1 46.484 (48.250) Prec@5 71.094 (73.500)
Epoch: [81][3950/5005] Time 0.198 (0.209) Data 0.040 (0.048) Loss 2.1821 (2.2547) Prec@1 51.172 (48.252) Prec@5 76.562 (73.504)
Epoch: [81][3960/5005] Time 0.209 (0.209) Data 0.052 (0.048) Loss 2.1723 (2.2547) Prec@1 49.609 (48.252) Prec@5 75.391 (73.504)
Epoch: [81][3970/5005] Time 0.199 (0.209) Data 0.049 (0.048) Loss 2.2660 (2.2546) Prec@1 52.344 (48.254) Prec@5 76.562 (73.505)
Epoch: [81][3980/5005] Time 0.203 (0.209) Data 0.047 (0.048) Loss 2.1216 (2.2545) Prec@1 46.875 (48.253) Prec@5 75.391 (73.509)
Epoch: [81][3990/5005] Time 0.207 (0.209) Data 0.049 (0.048) Loss 2.2093 (2.2545) Prec@1 48.828 (48.252) Prec@5 75.000 (73.511)
Epoch: [81][4000/5005] Time 0.207 (0.209) Data 0.048 (0.048) Loss 2.2528 (2.2545) Prec@1 47.656 (48.250) Prec@5 70.312 (73.510)
Epoch: [81][4010/5005] Time 0.204 (0.209) Data 0.048 (0.048) Loss 2.2925 (2.2543) Prec@1 50.000 (48.256) Prec@5 69.141 (73.512)
Epoch: [81][4020/5005] Time 0.206 (0.209) Data 0.042 (0.048) Loss 2.4428 (2.2543) Prec@1 42.969 (48.256) Prec@5 68.750 (73.511)
Epoch: [81][4030/5005] Time 0.208 (0.209) Data 0.048 (0.048) Loss 2.4483 (2.2545) Prec@1 47.266 (48.254) Prec@5 69.531 (73.506)
Epoch: [81][4040/5005] Time 0.210 (0.209) Data 0.043 (0.048) Loss 2.3164 (2.2546) Prec@1 48.438 (48.253) Prec@5 70.703 (73.504)
Epoch: [81][4050/5005] Time 0.209 (0.209) Data 0.048 (0.048) Loss 2.4233 (2.2545) Prec@1 44.141 (48.257) Prec@5 71.875 (73.505)
Epoch: [81][4060/5005] Time 0.223 (0.209) Data 0.046 (0.048) Loss 2.2856 (2.2545) Prec@1 47.656 (48.256) Prec@5 70.703 (73.504)
Epoch: [81][4070/5005] Time 0.209 (0.209) Data 0.040 (0.048) Loss 2.3062 (2.2545) Prec@1 51.562 (48.258) Prec@5 74.609 (73.505)
Epoch: [81][4080/5005] Time 0.207 (0.209) Data 0.046 (0.048) Loss 2.0884 (2.2544) Prec@1 47.656 (48.259) Prec@5 78.125 (73.507)
Epoch: [81][4090/5005] Time 0.210 (0.209) Data 0.044 (0.048) Loss 2.4528 (2.2543) Prec@1 45.312 (48.261) Prec@5 71.484 (73.506)
Epoch: [81][4100/5005] Time 0.207 (0.209) Data 0.042 (0.048) Loss 2.1475 (2.2544) Prec@1 50.781 (48.261) Prec@5 75.000 (73.505)
Epoch: [81][4110/5005] Time 0.201 (0.209) Data 0.042 (0.048) Loss 2.3814 (2.2543) Prec@1 45.312 (48.262) Prec@5 71.094 (73.510)
Epoch: [81][4120/5005] Time 0.210 (0.209) Data 0.045 (0.048) Loss 2.2829 (2.2541) Prec@1 48.438 (48.263) Prec@5 72.656 (73.512)
Epoch: [81][4130/5005] Time 0.205 (0.209) Data 0.066 (0.048) Loss 2.3925 (2.2540) Prec@1 46.484 (48.266) Prec@5 71.484 (73.514)
Epoch: [81][4140/5005] Time 0.199 (0.209) Data 0.044 (0.048) Loss 2.3724 (2.2540) Prec@1 47.266 (48.268) Prec@5 69.141 (73.513)
Epoch: [81][4150/5005] Time 0.206 (0.209) Data 0.052 (0.048) Loss 2.4040 (2.2541) Prec@1 44.141 (48.269) Prec@5 71.875 (73.512)
Epoch: [81][4160/5005] Time 0.200 (0.209) Data 0.049 (0.048) Loss 2.2188 (2.2542) Prec@1 50.391 (48.269) Prec@5 75.391 (73.510)
Epoch: [81][4170/5005] Time 0.207 (0.209) Data 0.059 (0.048) Loss 2.1398 (2.2541) Prec@1 47.656 (48.271) Prec@5 75.391 (73.511)
Epoch: [81][4180/5005] Time 0.207 (0.209) Data 0.058 (0.048) Loss 2.0607 (2.2540) Prec@1 50.781 (48.272) Prec@5 76.562 (73.511)
Epoch: [81][4190/5005] Time 0.206 (0.209) Data 0.048 (0.048) Loss 2.1376 (2.2540) Prec@1 50.391 (48.274) Prec@5 74.609 (73.511)
Epoch: [81][4200/5005] Time 0.216 (0.209) Data 0.044 (0.048) Loss 2.1711 (2.2540) Prec@1 47.266 (48.273) Prec@5 73.438 (73.511)
Epoch: [81][4210/5005] Time 0.208 (0.209) Data 0.056 (0.048) Loss 2.2136 (2.2539) Prec@1 49.219 (48.274) Prec@5 73.047 (73.511)
Epoch: [81][4220/5005] Time 0.204 (0.209) Data 0.044 (0.048) Loss 2.4732 (2.2541) Prec@1 46.875 (48.273) Prec@5 71.094 (73.509)
Epoch: [81][4230/5005] Time 0.213 (0.209) Data 0.046 (0.048) Loss 2.3586 (2.2541) Prec@1 48.047 (48.272) Prec@5 71.094 (73.508)
Epoch: [81][4240/5005] Time 0.212 (0.209) Data 0.045 (0.048) Loss 2.0262 (2.2541) Prec@1 48.047 (48.271) Prec@5 78.906 (73.507)
Epoch: [81][4250/5005] Time 0.206 (0.209) Data 0.042 (0.048) Loss 2.0754 (2.2539) Prec@1 52.344 (48.273) Prec@5 78.125 (73.510)
Epoch: [81][4260/5005] Time 0.203 (0.209) Data 0.044 (0.048) Loss 2.1272 (2.2537) Prec@1 48.047 (48.277) Prec@5 76.172 (73.513)
Epoch: [81][4270/5005] Time 0.200 (0.209) Data 0.057 (0.048) Loss 2.4196 (2.2538) Prec@1 43.359 (48.277) Prec@5 72.266 (73.512)
Epoch: [81][4280/5005] Time 0.209 (0.209) Data 0.047 (0.048) Loss 2.3553 (2.2539) Prec@1 45.703 (48.278) Prec@5 70.703 (73.508)
Epoch: [81][4290/5005] Time 0.201 (0.209) Data 0.048 (0.048) Loss 2.2454 (2.2538) Prec@1 47.266 (48.277) Prec@5 72.656 (73.510)
Epoch: [81][4300/5005] Time 0.206 (0.209) Data 0.062 (0.048) Loss 2.0205 (2.2537) Prec@1 51.172 (48.277) Prec@5 78.516 (73.512)
Epoch: [81][4310/5005] Time 0.210 (0.209) Data 0.046 (0.048) Loss 2.2245 (2.2537) Prec@1 50.391 (48.278) Prec@5 74.219 (73.512)
Epoch: [81][4320/5005] Time 0.211 (0.209) Data 0.052 (0.048) Loss 2.2457 (2.2537) Prec@1 48.047 (48.279) Prec@5 75.000 (73.511)
Epoch: [81][4330/5005] Time 0.218 (0.209) Data 0.044 (0.048) Loss 2.1237 (2.2536) Prec@1 48.047 (48.280) Prec@5 76.562 (73.512)
Epoch: [81][4340/5005] Time 0.202 (0.209) Data 0.042 (0.048) Loss 2.2002 (2.2537) Prec@1 49.219 (48.276) Prec@5 75.781 (73.511)
Epoch: [81][4350/5005] Time 0.208 (0.209) Data 0.043 (0.048) Loss 2.3062 (2.2536) Prec@1 46.875 (48.278) Prec@5 72.266 (73.512)
Epoch: [81][4360/5005] Time 0.207 (0.209) Data 0.046 (0.048) Loss 2.1045 (2.2534) Prec@1 48.828 (48.280) Prec@5 75.391 (73.515)
Epoch: [81][4370/5005] Time 0.198 (0.209) Data 0.046 (0.048) Loss 2.2380 (2.2534) Prec@1 48.047 (48.280) Prec@5 75.391 (73.516)
Epoch: [81][4380/5005] Time 0.194 (0.209) Data 0.049 (0.048) Loss 2.2534 (2.2534) Prec@1 46.484 (48.279) Prec@5 71.875 (73.514)
Epoch: [81][4390/5005] Time 0.205 (0.209) Data 0.045 (0.048) Loss 2.3242 (2.2532) Prec@1 46.875 (48.282) Prec@5 70.312 (73.518)
Epoch: [81][4400/5005] Time 0.205 (0.208) Data 0.047 (0.048) Loss 2.1007 (2.2532) Prec@1 52.344 (48.285) Prec@5 77.344 (73.518)
Epoch: [81][4410/5005] Time 0.215 (0.209) Data 0.048 (0.048) Loss 2.2037 (2.2530) Prec@1 46.094 (48.286) Prec@5 73.828 (73.521)
Epoch: [81][4420/5005] Time 0.210 (0.208) Data 0.046 (0.048) Loss 1.9525 (2.2529) Prec@1 56.250 (48.286) Prec@5 75.781 (73.522)
Epoch: [81][4430/5005] Time 0.210 (0.208) Data 0.046 (0.048) Loss 2.3838 (2.2527) Prec@1 42.969 (48.289) Prec@5 69.531 (73.525)
Epoch: [81][4440/5005] Time 0.210 (0.208) Data 0.043 (0.048) Loss 2.2553 (2.2527) Prec@1 48.828 (48.292) Prec@5 73.438 (73.525)
Epoch: [81][4450/5005] Time 0.215 (0.209) Data 0.044 (0.048) Loss 2.0516 (2.2527) Prec@1 54.297 (48.292) Prec@5 77.734 (73.525)
Epoch: [81][4460/5005] Time 0.209 (0.209) Data 0.049 (0.048) Loss 2.2528 (2.2525) Prec@1 50.781 (48.295) Prec@5 71.875 (73.528)
Epoch: [81][4470/5005] Time 0.213 (0.209) Data 0.047 (0.048) Loss 2.1403 (2.2526) Prec@1 45.703 (48.293) Prec@5 76.953 (73.527)
Epoch: [81][4480/5005] Time 0.196 (0.209) Data 0.040 (0.048) Loss 2.1397 (2.2527) Prec@1 49.609 (48.289) Prec@5 71.875 (73.524)
Epoch: [81][4490/5005] Time 0.209 (0.209) Data 0.045 (0.048) Loss 2.3038 (2.2528) Prec@1 49.219 (48.288) Prec@5 73.438 (73.523)
Epoch: [81][4500/5005] Time 0.210 (0.209) Data 0.049 (0.048) Loss 2.1805 (2.2528) Prec@1 51.562 (48.289) Prec@5 71.094 (73.523)
Epoch: [81][4510/5005] Time 0.205 (0.208) Data 0.044 (0.048) Loss 2.0594 (2.2527) Prec@1 50.781 (48.289) Prec@5 75.781 (73.524)
Epoch: [81][4520/5005] Time 0.217 (0.208) Data 0.041 (0.048) Loss 2.2109 (2.2526) Prec@1 51.953 (48.293) Prec@5 73.828 (73.526)
Epoch: [81][4530/5005] Time 0.210 (0.208) Data 0.047 (0.048) Loss 2.1949 (2.2526) Prec@1 48.828 (48.295) Prec@5 75.781 (73.525)
Epoch: [81][4540/5005] Time 0.200 (0.208) Data 0.046 (0.048) Loss 2.4689 (2.2528) Prec@1 42.969 (48.292) Prec@5 74.609 (73.523)
Epoch: [81][4550/5005] Time 0.198 (0.208) Data 0.044 (0.048) Loss 2.2626 (2.2527) Prec@1 48.828 (48.292) Prec@5 71.094 (73.522)
Epoch: [81][4560/5005] Time 0.206 (0.208) Data 0.044 (0.048) Loss 2.2795 (2.2527) Prec@1 50.781 (48.295) Prec@5 71.484 (73.522)
Epoch: [81][4570/5005] Time 0.213 (0.208) Data 0.042 (0.048) Loss 2.3081 (2.2526) Prec@1 51.953 (48.297) Prec@5 71.875 (73.522)
Epoch: [81][4580/5005] Time 0.210 (0.208) Data 0.055 (0.048) Loss 2.4001 (2.2526) Prec@1 43.750 (48.298) Prec@5 71.875 (73.522)
Epoch: [81][4590/5005] Time 0.192 (0.208) Data 0.048 (0.048) Loss 2.0787 (2.2526) Prec@1 51.562 (48.296) Prec@5 77.344 (73.521)
Epoch: [81][4600/5005] Time 0.204 (0.208) Data 0.059 (0.048) Loss 1.8979 (2.2527) Prec@1 55.078 (48.297) Prec@5 80.469 (73.518)
Epoch: [81][4610/5005] Time 0.210 (0.208) Data 0.057 (0.048) Loss 2.0836 (2.2527) Prec@1 49.609 (48.297) Prec@5 76.953 (73.520)
Epoch: [81][4620/5005] Time 0.205 (0.208) Data 0.041 (0.048) Loss 2.1036 (2.2527) Prec@1 50.000 (48.298) Prec@5 76.953 (73.520)
Epoch: [81][4630/5005] Time 0.197 (0.208) Data 0.056 (0.048) Loss 2.0840 (2.2525) Prec@1 50.000 (48.299) Prec@5 76.953 (73.524)
Epoch: [81][4640/5005] Time 0.205 (0.208) Data 0.047 (0.048) Loss 2.3475 (2.2525) Prec@1 46.875 (48.298) Prec@5 71.484 (73.524)
Epoch: [81][4650/5005] Time 0.193 (0.208) Data 0.041 (0.048) Loss 2.2916 (2.2525) Prec@1 46.875 (48.299) Prec@5 73.438 (73.524)
Epoch: [81][4660/5005] Time 0.191 (0.208) Data 0.059 (0.048) Loss 2.5586 (2.2525) Prec@1 42.578 (48.298) Prec@5 66.797 (73.523)
Epoch: [81][4670/5005] Time 0.201 (0.208) Data 0.045 (0.048) Loss 2.0090 (2.2524) Prec@1 49.609 (48.298) Prec@5 77.734 (73.524)
Epoch: [81][4680/5005] Time 0.201 (0.208) Data 0.046 (0.048) Loss 2.0969 (2.2524) Prec@1 51.562 (48.300) Prec@5 76.953 (73.525)
Epoch: [81][4690/5005] Time 0.206 (0.208) Data 0.043 (0.048) Loss 2.2651 (2.2523) Prec@1 46.875 (48.299) Prec@5 72.266 (73.524)
Epoch: [81][4700/5005] Time 0.205 (0.208) Data 0.057 (0.048) Loss 2.1260 (2.2523) Prec@1 49.609 (48.301) Prec@5 76.953 (73.526)
Epoch: [81][4710/5005] Time 0.204 (0.208) Data 0.046 (0.048) Loss 2.2168 (2.2521) Prec@1 50.391 (48.302) Prec@5 72.656 (73.528)
Epoch: [81][4720/5005] Time 0.199 (0.208) Data 0.046 (0.048) Loss 2.1628 (2.2520) Prec@1 50.391 (48.302) Prec@5 78.516 (73.531)
Epoch: [81][4730/5005] Time 0.205 (0.208) Data 0.046 (0.048) Loss 2.3296 (2.2522) Prec@1 48.438 (48.301) Prec@5 72.266 (73.529)
Epoch: [81][4740/5005] Time 0.214 (0.208) Data 0.043 (0.048) Loss 2.1099 (2.2520) Prec@1 48.438 (48.304) Prec@5 76.953 (73.533)
Epoch: [81][4750/5005] Time 0.214 (0.208) Data 0.042 (0.048) Loss 2.1449 (2.2520) Prec@1 48.438 (48.302) Prec@5 74.609 (73.533)
Epoch: [81][4760/5005] Time 0.217 (0.208) Data 0.045 (0.048) Loss 2.5410 (2.2520) Prec@1 39.844 (48.303) Prec@5 70.312 (73.534)
Epoch: [81][4770/5005] Time 0.212 (0.208) Data 0.043 (0.048) Loss 2.1223 (2.2520) Prec@1 51.172 (48.303) Prec@5 76.562 (73.533)
Epoch: [81][4780/5005] Time 0.216 (0.208) Data 0.043 (0.048) Loss 2.3470 (2.2520) Prec@1 48.438 (48.305) Prec@5 72.266 (73.532)
Epoch: [81][4790/5005] Time 0.215 (0.208) Data 0.044 (0.048) Loss 2.4897 (2.2521) Prec@1 46.484 (48.307) Prec@5 68.750 (73.531)
Epoch: [81][4800/5005] Time 0.213 (0.208) Data 0.042 (0.048) Loss 2.3224 (2.2519) Prec@1 47.656 (48.307) Prec@5 71.875 (73.533)
Epoch: [81][4810/5005] Time 0.211 (0.208) Data 0.047 (0.048) Loss 2.4158 (2.2519) Prec@1 45.312 (48.309) Prec@5 68.750 (73.533)
Epoch: [81][4820/5005] Time 0.203 (0.208) Data 0.044 (0.048) Loss 2.3849 (2.2518) Prec@1 44.922 (48.310) Prec@5 70.703 (73.533)
Epoch: [81][4830/5005] Time 0.213 (0.208) Data 0.042 (0.048) Loss 2.4418 (2.2517) Prec@1 44.531 (48.312) Prec@5 67.969 (73.533)
Epoch: [81][4840/5005] Time 0.207 (0.208) Data 0.052 (0.048) Loss 2.0610 (2.2517) Prec@1 54.688 (48.310) Prec@5 76.953 (73.532)
Epoch: [81][4850/5005] Time 0.197 (0.208) Data 0.049 (0.048) Loss 2.2761 (2.2519) Prec@1 42.969 (48.306) Prec@5 73.047 (73.530)
Epoch: [81][4860/5005] Time 0.208 (0.208) Data 0.052 (0.048) Loss 2.2759 (2.2518) Prec@1 47.656 (48.306) Prec@5 73.828 (73.531)
Epoch: [81][4870/5005] Time 0.210 (0.208) Data 0.046 (0.048) Loss 2.2228 (2.2518) Prec@1 50.391 (48.308) Prec@5 73.047 (73.531)
Epoch: [81][4880/5005] Time 0.208 (0.208) Data 0.050 (0.048) Loss 2.0823 (2.2517) Prec@1 51.562 (48.313) Prec@5 75.391 (73.535)
Epoch: [81][4890/5005] Time 0.196 (0.208) Data 0.056 (0.048) Loss 2.4476 (2.2516) Prec@1 44.531 (48.313) Prec@5 68.750 (73.537)
Epoch: [81][4900/5005] Time 0.216 (0.208) Data 0.045 (0.048) Loss 2.1337 (2.2516) Prec@1 46.875 (48.313) Prec@5 75.000 (73.535)
Epoch: [81][4910/5005] Time 0.194 (0.208) Data 0.052 (0.048) Loss 2.2081 (2.2514) Prec@1 47.656 (48.315) Prec@5 77.734 (73.539)
Epoch: [81][4920/5005] Time 0.208 (0.208) Data 0.049 (0.048) Loss 2.1288 (2.2513) Prec@1 48.047 (48.317) Prec@5 75.000 (73.543)
Epoch: [81][4930/5005] Time 0.204 (0.208) Data 0.048 (0.048) Loss 2.4468 (2.2513) Prec@1 46.484 (48.318) Prec@5 68.750 (73.544)
Epoch: [81][4940/5005] Time 0.209 (0.208) Data 0.047 (0.048) Loss 2.3314 (2.2513) Prec@1 48.828 (48.318) Prec@5 71.094 (73.542)
Epoch: [81][4950/5005] Time 0.204 (0.208) Data 0.047 (0.048) Loss 1.9549 (2.2513) Prec@1 51.953 (48.319) Prec@5 78.125 (73.542)
Epoch: [81][4960/5005] Time 0.209 (0.208) Data 0.048 (0.048) Loss 2.3868 (2.2514) Prec@1 48.047 (48.318) Prec@5 70.703 (73.539)
Epoch: [81][4970/5005] Time 0.218 (0.208) Data 0.066 (0.048) Loss 2.3477 (2.2514) Prec@1 45.703 (48.319) Prec@5 74.219 (73.541)
Epoch: [81][4980/5005] Time 0.204 (0.208) Data 0.048 (0.048) Loss 2.1868 (2.2513) Prec@1 52.344 (48.320) Prec@5 76.562 (73.545)
Epoch: [81][4990/5005] Time 0.204 (0.208) Data 0.025 (0.048) Loss 2.3688 (2.2512) Prec@1 42.188 (48.323) Prec@5 71.094 (73.546)
Epoch: [81][5000/5005] Time 0.203 (0.208) Data 0.021 (0.048) Loss 2.3866 (2.2513) Prec@1 48.828 (48.322) Prec@5 70.312 (73.545)
Test: [0/196] Time 1.783 (1.783) Loss 2.3531 (2.3531) Prec@1 49.219 (49.219) Prec@5 70.703 (70.703)
Test: [10/196] Time 0.046 (0.320) Loss 2.4578 (2.5486) Prec@1 46.875 (43.750) Prec@5 73.438 (69.815)
Test: [20/196] Time 0.045 (0.244) Loss 2.4397 (2.5506) Prec@1 46.875 (43.694) Prec@5 70.312 (69.401)
Test: [30/196] Time 0.042 (0.213) Loss 2.4977 (2.5569) Prec@1 44.922 (43.750) Prec@5 67.188 (68.863)
Test: [40/196] Time 0.331 (0.209) Loss 2.2843 (2.5504) Prec@1 50.391 (44.017) Prec@5 73.438 (69.074)
Test: [50/196] Time 0.047 (0.206) Loss 2.6112 (2.5512) Prec@1 45.703 (44.118) Prec@5 72.266 (69.278)
Test: [60/196] Time 0.044 (0.195) Loss 2.4855 (2.5353) Prec@1 47.656 (44.422) Prec@5 68.750 (69.467)
Test: [70/196] Time 0.045 (0.190) Loss 2.5094 (2.5287) Prec@1 46.094 (44.311) Prec@5 67.578 (69.498)
Test: [80/196] Time 0.042 (0.185) Loss 2.4279 (2.5349) Prec@1 50.391 (44.208) Prec@5 73.828 (69.440)
Test: [90/196] Time 0.042 (0.185) Loss 2.6190 (2.5375) Prec@1 44.922 (44.205) Prec@5 67.578 (69.445)
Test: [100/196] Time 0.043 (0.183) Loss 2.5420 (2.5341) Prec@1 46.094 (44.322) Prec@5 70.703 (69.508)
Test: [110/196] Time 0.047 (0.182) Loss 2.7378 (2.5371) Prec@1 38.672 (44.299) Prec@5 64.844 (69.493)
Test: [120/196] Time 0.786 (0.186) Loss 2.3539 (2.5342) Prec@1 45.703 (44.380) Prec@5 74.609 (69.505)
Test: [130/196] Time 0.042 (0.181) Loss 2.2343 (2.5303) Prec@1 48.828 (44.466) Prec@5 71.875 (69.540)
Test: [140/196] Time 0.148 (0.184) Loss 2.3529 (2.5328) Prec@1 49.219 (44.412) Prec@5 70.703 (69.490)
Test: [150/196] Time 0.045 (0.182) Loss 2.1709 (2.5311) Prec@1 50.391 (44.456) Prec@5 79.688 (69.531)
Test: [160/196] Time 0.699 (0.183) Loss 2.4138 (2.5292) Prec@1 51.562 (44.488) Prec@5 71.094 (69.551)
Test: [170/196] Time 0.049 (0.182) Loss 2.4355 (2.5313) Prec@1 43.359 (44.447) Prec@5 70.312 (69.522)
Test: [180/196] Time 0.187 (0.180) Loss 2.7253 (2.5362) Prec@1 42.969 (44.363) Prec@5 65.234 (69.419)
Test: [190/196] Time 0.044 (0.182) Loss 2.7406 (2.5385) Prec@1 43.750 (44.349) Prec@5 63.672 (69.276)
* Prec@1 44.386 Prec@5 69.310
Learning rate: 1e-06
Epoch: [82][0/5005] Time 1.312 (1.312) Data 1.181 (1.181) Loss 2.1762 (2.1762) Prec@1 48.047 (48.047) Prec@5 75.391 (75.391)
Epoch: [82][10/5005] Time 0.208 (0.303) Data 0.047 (0.150) Loss 2.2907 (2.2513) Prec@1 50.000 (47.585) Prec@5 73.828 (73.118)
Epoch: [82][20/5005] Time 0.198 (0.255) Data 0.042 (0.102) Loss 2.4264 (2.2727) Prec@1 50.000 (46.968) Prec@5 73.828 (72.972)
Epoch: [82][30/5005] Time 0.207 (0.239) Data 0.043 (0.084) Loss 2.1645 (2.2373) Prec@1 50.000 (48.059) Prec@5 73.047 (73.374)
Epoch: [82][40/5005] Time 0.201 (0.230) Data 0.057 (0.076) Loss 2.3032 (2.2596) Prec@1 44.531 (47.275) Prec@5 73.828 (73.228)
Epoch: [82][50/5005] Time 0.205 (0.225) Data 0.045 (0.070) Loss 2.0825 (2.2592) Prec@1 49.219 (47.350) Prec@5 79.297 (73.369)
Epoch: [82][60/5005] Time 0.202 (0.222) Data 0.049 (0.067) Loss 2.2345 (2.2583) Prec@1 48.047 (47.509) Prec@5 75.391 (73.457)
Epoch: [82][70/5005] Time 0.206 (0.219) Data 0.044 (0.064) Loss 2.3659 (2.2703) Prec@1 47.656 (47.513) Prec@5 71.094 (73.113)
Epoch: [82][80/5005] Time 0.216 (0.216) Data 0.043 (0.062) Loss 2.1971 (2.2595) Prec@1 48.828 (47.849) Prec@5 75.000 (73.298)
Epoch: [82][90/5005] Time 0.197 (0.215) Data 0.049 (0.060) Loss 2.3932 (2.2609) Prec@1 47.656 (48.021) Prec@5 71.484 (73.240)
Epoch: [82][100/5005] Time 0.205 (0.213) Data 0.044 (0.059) Loss 2.1568 (2.2654) Prec@1 43.750 (47.942) Prec@5 74.219 (73.055)
Epoch: [82][110/5005] Time 0.212 (0.212) Data 0.045 (0.058) Loss 2.3917 (2.2714) Prec@1 44.922 (47.969) Prec@5 71.484 (73.005)
Epoch: [82][120/5005] Time 0.193 (0.211) Data 0.046 (0.057) Loss 2.3128 (2.2752) Prec@1 41.797 (47.915) Prec@5 73.828 (72.940)
Epoch: [82][130/5005] Time 0.211 (0.211) Data 0.045 (0.057) Loss 2.3414 (2.2740) Prec@1 48.047 (47.937) Prec@5 71.875 (73.032)
Epoch: [82][140/5005] Time 0.195 (0.210) Data 0.058 (0.056) Loss 2.2673 (2.2704) Prec@1 47.656 (47.991) Prec@5 72.656 (73.088)
Epoch: [82][150/5005] Time 0.206 (0.210) Data 0.058 (0.056) Loss 2.3237 (2.2719) Prec@1 47.656 (48.005) Prec@5 69.141 (73.078)
Epoch: [82][160/5005] Time 0.187 (0.209) Data 0.058 (0.056) Loss 2.1441 (2.2717) Prec@1 48.438 (48.040) Prec@5 74.219 (73.103)
Epoch: [82][170/5005] Time 0.213 (0.209) Data 0.047 (0.056) Loss 2.4460 (2.2734) Prec@1 45.703 (48.017) Prec@5 70.312 (73.051)
Epoch: [82][180/5005] Time 0.210 (0.210) Data 0.042 (0.055) Loss 2.5372 (2.2748) Prec@1 47.266 (48.047) Prec@5 67.188 (73.038)
Epoch: [82][190/5005] Time 0.219 (0.210) Data 0.041 (0.055) Loss 2.3054 (2.2778) Prec@1 47.656 (47.988) Prec@5 73.438 (72.992)
Epoch: [82][200/5005] Time 0.223 (0.211) Data 0.048 (0.054) Loss 2.4000 (2.2779) Prec@1 47.266 (47.973) Prec@5 68.750 (72.961)
Epoch: [82][210/5005] Time 0.219 (0.211) Data 0.050 (0.054) Loss 2.1059 (2.2771) Prec@1 50.391 (47.939) Prec@5 78.516 (72.986)
Epoch: [82][220/5005] Time 0.219 (0.211) Data 0.045 (0.054) Loss 2.3748 (2.2777) Prec@1 43.750 (47.916) Prec@5 71.094 (72.981)
Epoch: [82][230/5005] Time 0.215 (0.211) Data 0.044 (0.053) Loss 2.4000 (2.2776) Prec@1 47.656 (47.939) Prec@5 71.484 (72.989)
Epoch: [82][240/5005] Time 0.215 (0.212) Data 0.043 (0.053) Loss 2.2392 (2.2770) Prec@1 46.875 (47.903) Prec@5 75.000 (72.990)
Epoch: [82][250/5005] Time 0.211 (0.212) Data 0.044 (0.053) Loss 2.4047 (2.2758) Prec@1 42.969 (47.974) Prec@5 72.656 (73.020)
Epoch: [82][260/5005] Time 0.219 (0.212) Data 0.060 (0.053) Loss 2.1206 (2.2743) Prec@1 50.391 (47.972) Prec@5 75.391 (73.071)
Epoch: [82][270/5005] Time 0.213 (0.212) Data 0.044 (0.053) Loss 2.3941 (2.2747) Prec@1 45.703 (47.968) Prec@5 71.484 (73.041)
Epoch: [82][280/5005] Time 0.217 (0.212) Data 0.047 (0.052) Loss 2.5087 (2.2768) Prec@1 44.922 (47.957) Prec@5 70.703 (73.020)
Epoch: [82][290/5005] Time 0.213 (0.212) Data 0.044 (0.052) Loss 2.0527 (2.2783) Prec@1 53.516 (47.931) Prec@5 75.391 (73.008)
Epoch: [82][300/5005] Time 0.212 (0.212) Data 0.044 (0.052) Loss 2.0849 (2.2784) Prec@1 49.609 (47.924) Prec@5 77.734 (73.007)
Epoch: [82][310/5005] Time 0.211 (0.212) Data 0.042 (0.051) Loss 2.0691 (2.2756) Prec@1 52.344 (48.002) Prec@5 76.953 (73.067)
Epoch: [82][320/5005] Time 0.215 (0.212) Data 0.050 (0.051) Loss 2.3984 (2.2756) Prec@1 46.484 (48.020) Prec@5 68.359 (73.053)
Epoch: [82][330/5005] Time 0.211 (0.212) Data 0.042 (0.051) Loss 1.9472 (2.2745) Prec@1 52.734 (48.026) Prec@5 76.953 (73.089)
Epoch: [82][340/5005] Time 0.204 (0.212) Data 0.053 (0.051) Loss 2.4182 (2.2781) Prec@1 49.609 (47.993) Prec@5 73.828 (73.055)
Epoch: [82][350/5005] Time 0.227 (0.212) Data 0.051 (0.051) Loss 2.3551 (2.2766) Prec@1 46.484 (48.009) Prec@5 71.875 (73.075)
Epoch: [82][360/5005] Time 0.198 (0.212) Data 0.052 (0.051) Loss 2.4459 (2.2773) Prec@1 48.828 (48.018) Prec@5 69.141 (73.062)
Epoch: [82][370/5005] Time 0.208 (0.212) Data 0.050 (0.051) Loss 2.3127 (2.2760) Prec@1 47.266 (48.055) Prec@5 70.312 (73.086)
Epoch: [82][380/5005] Time 0.214 (0.212) Data 0.042 (0.051) Loss 2.4519 (2.2770) Prec@1 45.703 (48.039) Prec@5 67.188 (73.073)
Epoch: [82][390/5005] Time 0.208 (0.212) Data 0.044 (0.051) Loss 2.1831 (2.2774) Prec@1 51.953 (48.041) Prec@5 77.734 (73.078)
Epoch: [82][400/5005] Time 0.209 (0.212) Data 0.046 (0.051) Loss 2.0587 (2.2757) Prec@1 51.953 (48.063) Prec@5 74.609 (73.106)
Epoch: [82][410/5005] Time 0.207 (0.212) Data 0.050 (0.051) Loss 2.1300 (2.2743) Prec@1 46.094 (48.074) Prec@5 76.562 (73.139)
Epoch: [82][420/5005] Time 0.215 (0.212) Data 0.046 (0.051) Loss 2.2813 (2.2731) Prec@1 48.438 (48.109) Prec@5 73.047 (73.176)
Epoch: [82][430/5005] Time 0.219 (0.212) Data 0.042 (0.051) Loss 2.3279 (2.2732) Prec@1 49.609 (48.116) Prec@5 71.875 (73.167)
Epoch: [82][440/5005] Time 0.208 (0.212) Data 0.039 (0.051) Loss 2.3168 (2.2732) Prec@1 50.000 (48.106) Prec@5 70.703 (73.164)
Epoch: [82][450/5005] Time 0.208 (0.212) Data 0.063 (0.051) Loss 2.1507 (2.2737) Prec@1 45.312 (48.080) Prec@5 75.000 (73.160)
Epoch: [82][460/5005] Time 0.206 (0.212) Data 0.046 (0.051) Loss 2.2917 (2.2747) Prec@1 47.656 (48.045) Prec@5 71.484 (73.148)
Epoch: [82][470/5005] Time 0.216 (0.212) Data 0.045 (0.051) Loss 2.3240 (2.2753) Prec@1 43.359 (48.018) Prec@5 73.438 (73.134)
Epoch: [82][480/5005] Time 0.220 (0.212) Data 0.044 (0.051) Loss 2.2848 (2.2755) Prec@1 45.703 (48.005) Prec@5 71.875 (73.111)
Epoch: [82][490/5005] Time 0.217 (0.212) Data 0.043 (0.051) Loss 2.2501 (2.2748) Prec@1 51.953 (48.031) Prec@5 71.484 (73.112)
Epoch: [82][500/5005] Time 0.217 (0.212) Data 0.042 (0.051) Loss 2.4035 (2.2770) Prec@1 47.266 (48.010) Prec@5 71.484 (73.064)
Epoch: [82][510/5005] Time 0.215 (0.212) Data 0.041 (0.050) Loss 2.5125 (2.2773) Prec@1 42.188 (48.017) Prec@5 68.359 (73.061)
Epoch: [82][520/5005] Time 0.222 (0.212) Data 0.046 (0.050) Loss 2.2932 (2.2774) Prec@1 48.047 (48.015) Prec@5 73.828 (73.080)
Epoch: [82][530/5005] Time 0.216 (0.212) Data 0.044 (0.050) Loss 2.2566 (2.2782) Prec@1 44.922 (47.998) Prec@5 73.438 (73.065)
Epoch: [82][540/5005] Time 0.212 (0.212) Data 0.046 (0.050) Loss 2.4143 (2.2793) Prec@1 44.531 (47.971) Prec@5 70.703 (73.050)
Epoch: [82][550/5005] Time 0.217 (0.212) Data 0.053 (0.050) Loss 2.2032 (2.2789) Prec@1 49.609 (47.984) Prec@5 75.781 (73.053)
Epoch: [82][560/5005] Time 0.209 (0.212) Data 0.051 (0.050) Loss 2.4070 (2.2793) Prec@1 48.438 (47.980) Prec@5 72.266 (73.062)
Epoch: [82][570/5005] Time 0.209 (0.212) Data 0.041 (0.050) Loss 2.2029 (2.2800) Prec@1 50.000 (47.967) Prec@5 73.047 (73.041)
Epoch: [82][580/5005] Time 0.226 (0.212) Data 0.046 (0.050) Loss 2.3427 (2.2795) Prec@1 47.266 (47.989) Prec@5 69.922 (73.041)
Epoch: [82][590/5005] Time 0.206 (0.212) Data 0.042 (0.050) Loss 2.3971 (2.2796) Prec@1 42.188 (47.974) Prec@5 70.312 (73.036)
Epoch: [82][600/5005] Time 0.209 (0.212) Data 0.046 (0.050) Loss 2.1918 (2.2800) Prec@1 51.172 (47.975) Prec@5 77.344 (73.046)
Epoch: [82][610/5005] Time 0.217 (0.212) Data 0.043 (0.050) Loss 2.3138 (2.2805) Prec@1 45.703 (47.968) Prec@5 73.047 (73.043)
Epoch: [82][620/5005] Time 0.209 (0.212) Data 0.045 (0.050) Loss 2.2292 (2.2806) Prec@1 47.656 (47.963) Prec@5 74.219 (73.039)
Epoch: [82][630/5005] Time 0.213 (0.212) Data 0.042 (0.050) Loss 2.5946 (2.2809) Prec@1 46.484 (47.968) Prec@5 67.969 (73.039)
Epoch: [82][640/5005] Time 0.201 (0.212) Data 0.045 (0.050) Loss 2.1118 (2.2801) Prec@1 50.391 (47.977) Prec@5 75.781 (73.055)
Epoch: [82][650/5005] Time 0.200 (0.212) Data 0.042 (0.050) Loss 2.3172 (2.2808) Prec@1 43.359 (47.956) Prec@5 73.828 (73.047)
Epoch: [82][660/5005] Time 0.202 (0.212) Data 0.052 (0.050) Loss 2.3308 (2.2799) Prec@1 44.141 (47.964) Prec@5 71.484 (73.068)
Epoch: [82][670/5005] Time 0.208 (0.212) Data 0.040 (0.050) Loss 2.4453 (2.2794) Prec@1 45.703 (47.983) Prec@5 73.438 (73.073)
Epoch: [82][680/5005] Time 0.207 (0.212) Data 0.047 (0.050) Loss 2.2256 (2.2792) Prec@1 49.609 (47.991) Prec@5 76.562 (73.073)
Epoch: [82][690/5005] Time 0.214 (0.212) Data 0.047 (0.050) Loss 2.1061 (2.2783) Prec@1 47.656 (47.991) Prec@5 78.516 (73.091)
Epoch: [82][700/5005] Time 0.217 (0.212) Data 0.041 (0.050) Loss 2.4095 (2.2784) Prec@1 44.531 (47.982) Prec@5 69.531 (73.078)
Epoch: [82][710/5005] Time 0.216 (0.212) Data 0.044 (0.050) Loss 2.2864 (2.2781) Prec@1 48.438 (48.005) Prec@5 74.609 (73.085)
Epoch: [82][720/5005] Time 0.206 (0.212) Data 0.043 (0.049) Loss 2.1032 (2.2773) Prec@1 50.000 (48.015) Prec@5 73.438 (73.092)
Epoch: [82][730/5005] Time 0.218 (0.212) Data 0.043 (0.049) Loss 2.4213 (2.2779) Prec@1 47.656 (48.021) Prec@5 73.828 (73.079)
Epoch: [82][740/5005] Time 0.212 (0.212) Data 0.042 (0.049) Loss 2.3556 (2.2779) Prec@1 46.875 (48.021) Prec@5 69.922 (73.072)
Epoch: [82][750/5005] Time 0.217 (0.212) Data 0.044 (0.049) Loss 2.0632 (2.2770) Prec@1 52.344 (48.040) Prec@5 75.391 (73.080)
Epoch: [82][760/5005] Time 0.205 (0.212) Data 0.044 (0.049) Loss 2.2658 (2.2770) Prec@1 49.609 (48.043) Prec@5 74.609 (73.079)
Epoch: [82][770/5005] Time 0.218 (0.212) Data 0.047 (0.049) Loss 2.3055 (2.2754) Prec@1 47.656 (48.069) Prec@5 71.484 (73.103)
Epoch: [82][780/5005] Time 0.201 (0.212) Data 0.045 (0.049) Loss 2.3726 (2.2753) Prec@1 48.438 (48.073) Prec@5 70.703 (73.092)
Epoch: [82][790/5005] Time 0.222 (0.212) Data 0.042 (0.049) Loss 2.2450 (2.2751) Prec@1 45.312 (48.086) Prec@5 75.391 (73.097)
Epoch: [82][800/5005] Time 0.200 (0.212) Data 0.049 (0.049) Loss 2.0808 (2.2737) Prec@1 51.172 (48.110) Prec@5 78.516 (73.121)
Epoch: [82][810/5005] Time 0.213 (0.212) Data 0.052 (0.049) Loss 2.2368 (2.2737) Prec@1 50.000 (48.122) Prec@5 74.219 (73.124)
Epoch: [82][820/5005] Time 0.218 (0.212) Data 0.042 (0.049) Loss 2.4088 (2.2738) Prec@1 48.438 (48.116) Prec@5 70.312 (73.125)
Epoch: [82][830/5005] Time 0.213 (0.212) Data 0.048 (0.049) Loss 2.1482 (2.2737) Prec@1 48.047 (48.123) Prec@5 75.781 (73.120)
Epoch: [82][840/5005] Time 0.210 (0.212) Data 0.049 (0.049) Loss 2.2917 (2.2735) Prec@1 49.609 (48.135) Prec@5 73.047 (73.127)
Epoch: [82][850/5005] Time 0.209 (0.212) Data 0.047 (0.049) Loss 2.6419 (2.2734) Prec@1 45.703 (48.148) Prec@5 66.797 (73.129)
Epoch: [82][860/5005] Time 0.216 (0.212) Data 0.045 (0.049) Loss 2.2654 (2.2736) Prec@1 49.219 (48.153) Prec@5 72.656 (73.126)
Epoch: [82][870/5005] Time 0.211 (0.212) Data 0.043 (0.049) Loss 2.2870 (2.2727) Prec@1 48.828 (48.161) Prec@5 72.656 (73.134)
Epoch: [82][880/5005] Time 0.212 (0.212) Data 0.044 (0.049) Loss 2.2355 (2.2733) Prec@1 50.000 (48.163) Prec@5 73.438 (73.125)
Epoch: [82][890/5005] Time 0.213 (0.212) Data 0.043 (0.049) Loss 2.4807 (2.2733) Prec@1 44.531 (48.166) Prec@5 67.969 (73.124)
Epoch: [82][900/5005] Time 0.220 (0.212) Data 0.044 (0.049) Loss 2.1078 (2.2723) Prec@1 49.219 (48.186) Prec@5 78.125 (73.141)
Epoch: [82][910/5005] Time 0.210 (0.212) Data 0.047 (0.049) Loss 2.2467 (2.2719) Prec@1 45.312 (48.185) Prec@5 76.172 (73.141)
Epoch: [82][920/5005] Time 0.210 (0.212) Data 0.067 (0.049) Loss 2.2741 (2.2715) Prec@1 48.828 (48.200) Prec@5 74.609 (73.148)
Epoch: [82][930/5005] Time 0.209 (0.212) Data 0.048 (0.049) Loss 2.3392 (2.2709) Prec@1 46.484 (48.220) Prec@5 70.703 (73.153)
Epoch: [82][940/5005] Time 0.203 (0.212) Data 0.046 (0.049) Loss 2.1058 (2.2710) Prec@1 46.094 (48.202) Prec@5 77.344 (73.158)
Epoch: [82][950/5005] Time 0.210 (0.212) Data 0.042 (0.049) Loss 2.4407 (2.2717) Prec@1 47.656 (48.192) Prec@5 72.656 (73.151)
Epoch: [82][960/5005] Time 0.214 (0.212) Data 0.047 (0.049) Loss 2.4392 (2.2717) Prec@1 47.656 (48.181) Prec@5 71.875 (73.160)
Epoch: [82][970/5005] Time 0.213 (0.212) Data 0.042 (0.049) Loss 2.1505 (2.2716) Prec@1 49.609 (48.179) Prec@5 77.344 (73.164)
Epoch: [82][980/5005] Time 0.204 (0.212) Data 0.053 (0.049) Loss 2.2717 (2.2713) Prec@1 48.047 (48.172) Prec@5 74.609 (73.168)
Epoch: [82][990/5005] Time 0.203 (0.212) Data 0.044 (0.049) Loss 2.5315 (2.2718) Prec@1 44.141 (48.157) Prec@5 69.531 (73.165)
Epoch: [82][1000/5005] Time 0.212 (0.212) Data 0.052 (0.049) Loss 2.2558 (2.2714) Prec@1 47.656 (48.167) Prec@5 74.609 (73.171)
Epoch: [82][1010/5005] Time 0.213 (0.211) Data 0.042 (0.049) Loss 2.1984 (2.2707) Prec@1 52.734 (48.177) Prec@5 74.609 (73.180)
Epoch: [82][1020/5005] Time 0.221 (0.212) Data 0.045 (0.049) Loss 2.0904 (2.2711) Prec@1 50.781 (48.165) Prec@5 77.734 (73.175)
Epoch: [82][1030/5005] Time 0.200 (0.211) Data 0.063 (0.049) Loss 2.1603 (2.2707) Prec@1 46.484 (48.174) Prec@5 75.781 (73.176)
Epoch: [82][1040/5005] Time 0.208 (0.211) Data 0.054 (0.049) Loss 2.4870 (2.2708) Prec@1 41.797 (48.167) Prec@5 67.188 (73.165)
Epoch: [82][1050/5005] Time 0.202 (0.211) Data 0.042 (0.049) Loss 2.4779 (2.2713) Prec@1 44.531 (48.148) Prec@5 71.094 (73.155)
Epoch: [82][1060/5005] Time 0.200 (0.211) Data 0.056 (0.049) Loss 2.3520 (2.2714) Prec@1 47.656 (48.151) Prec@5 71.094 (73.153)
Epoch: [82][1070/5005] Time 0.216 (0.211) Data 0.046 (0.049) Loss 2.3438 (2.2715) Prec@1 44.531 (48.142) Prec@5 72.266 (73.158)
Epoch: [82][1080/5005] Time 0.203 (0.211) Data 0.042 (0.049) Loss 2.3740 (2.2719) Prec@1 43.750 (48.133) Prec@5 74.219 (73.161)
Epoch: [82][1090/5005] Time 0.211 (0.211) Data 0.049 (0.049) Loss 2.0916 (2.2715) Prec@1 50.781 (48.137) Prec@5 77.734 (73.171)
Epoch: [82][1100/5005] Time 0.206 (0.211) Data 0.048 (0.049) Loss 2.2541 (2.2710) Prec@1 52.344 (48.144) Prec@5 71.484 (73.181)
Epoch: [82][1110/5005] Time 0.209 (0.211) Data 0.043 (0.049) Loss 2.1857 (2.2710) Prec@1 48.438 (48.140) Prec@5 75.391 (73.187)
Epoch: [82][1120/5005] Time 0.204 (0.211) Data 0.039 (0.049) Loss 2.1356 (2.2703) Prec@1 52.344 (48.160) Prec@5 76.172 (73.209)
Epoch: [82][1130/5005] Time 0.218 (0.211) Data 0.053 (0.049) Loss 2.2483 (2.2705) Prec@1 47.656 (48.158) Prec@5 75.391 (73.207)
Epoch: [82][1140/5005] Time 0.206 (0.211) Data 0.048 (0.049) Loss 2.2957 (2.2702) Prec@1 48.047 (48.166) Prec@5 71.875 (73.216)
Epoch: [82][1150/5005] Time 0.220 (0.211) Data 0.052 (0.049) Loss 2.1862 (2.2697) Prec@1 48.047 (48.175) Prec@5 71.875 (73.226)
Epoch: [82][1160/5005] Time 0.215 (0.211) Data 0.046 (0.049) Loss 2.4110 (2.2698) Prec@1 44.141 (48.172) Prec@5 71.094 (73.228)
Epoch: [82][1170/5005] Time 0.218 (0.211) Data 0.047 (0.049) Loss 2.2826 (2.2698) Prec@1 46.875 (48.169) Prec@5 74.609 (73.227)
Epoch: [82][1180/5005] Time 0.221 (0.211) Data 0.045 (0.049) Loss 2.2692 (2.2695) Prec@1 47.656 (48.167) Prec@5 72.266 (73.232)
Epoch: [82][1190/5005] Time 0.201 (0.211) Data 0.048 (0.049) Loss 1.9285 (2.2687) Prec@1 50.391 (48.175) Prec@5 77.344 (73.254)
Epoch: [82][1200/5005] Time 0.208 (0.211) Data 0.043 (0.049) Loss 2.5137 (2.2687) Prec@1 40.625 (48.168) Prec@5 69.531 (73.256)
Epoch: [82][1210/5005] Time 0.214 (0.211) Data 0.043 (0.049) Loss 2.1587 (2.2693) Prec@1 50.391 (48.160) Prec@5 74.609 (73.248)
Epoch: [82][1220/5005] Time 0.202 (0.211) Data 0.056 (0.049) Loss 2.3680 (2.2694) Prec@1 44.531 (48.146) Prec@5 69.531 (73.245)
Epoch: [82][1230/5005] Time 0.211 (0.211) Data 0.044 (0.049) Loss 2.3316 (2.2695) Prec@1 48.438 (48.136) Prec@5 73.047 (73.244)
Epoch: [82][1240/5005] Time 0.205 (0.211) Data 0.043 (0.049) Loss 2.2245 (2.2694) Prec@1 46.484 (48.134) Prec@5 74.609 (73.244)
Epoch: [82][1250/5005] Time 0.206 (0.211) Data 0.044 (0.049) Loss 2.4716 (2.2696) Prec@1 48.438 (48.137) Prec@5 69.531 (73.234)
Epoch: [82][1260/5005] Time 0.202 (0.211) Data 0.048 (0.049) Loss 2.0026 (2.2689) Prec@1 51.172 (48.138) Prec@5 77.344 (73.242)
Epoch: [82][1270/5005] Time 0.216 (0.211) Data 0.042 (0.049) Loss 2.4292 (2.2694) Prec@1 49.219 (48.131) Prec@5 71.875 (73.229)
Epoch: [82][1280/5005] Time 0.215 (0.211) Data 0.047 (0.049) Loss 2.2744 (2.2699) Prec@1 53.516 (48.132) Prec@5 75.781 (73.225)
Epoch: [82][1290/5005] Time 0.200 (0.211) Data 0.046 (0.049) Loss 2.1606 (2.2696) Prec@1 51.953 (48.134) Prec@5 73.047 (73.224)
Epoch: [82][1300/5005] Time 0.201 (0.211) Data 0.048 (0.049) Loss 2.2503 (2.2695) Prec@1 51.172 (48.140) Prec@5 72.266 (73.223)
Epoch: [82][1310/5005] Time 0.207 (0.211) Data 0.045 (0.049) Loss 2.3133 (2.2693) Prec@1 46.484 (48.138) Prec@5 75.000 (73.227)
Epoch: [82][1320/5005] Time 0.202 (0.211) Data 0.050 (0.049) Loss 2.4429 (2.2693) Prec@1 47.266 (48.139) Prec@5 71.875 (73.231)
Epoch: [82][1330/5005] Time 0.217 (0.211) Data 0.046 (0.049) Loss 2.3047 (2.2695) Prec@1 45.312 (48.129) Prec@5 73.828 (73.234)
Epoch: [82][1340/5005] Time 0.210 (0.211) Data 0.045 (0.049) Loss 2.2008 (2.2694) Prec@1 48.438 (48.126) Prec@5 73.047 (73.237)
Epoch: [82][1350/5005] Time 0.212 (0.211) Data 0.043 (0.049) Loss 2.5867 (2.2694) Prec@1 45.703 (48.114) Prec@5 70.312 (73.239)
Epoch: [82][1360/5005] Time 0.206 (0.211) Data 0.042 (0.049) Loss 2.1286 (2.2689) Prec@1 48.828 (48.124) Prec@5 74.219 (73.242)
Epoch: [82][1370/5005] Time 0.209 (0.211) Data 0.051 (0.049) Loss 2.2726 (2.2684) Prec@1 51.953 (48.129) Prec@5 73.438 (73.248)
Epoch: [82][1380/5005] Time 0.213 (0.211) Data 0.043 (0.049) Loss 2.3262 (2.2682) Prec@1 48.047 (48.139) Prec@5 72.656 (73.254)
Epoch: [82][1390/5005] Time 0.207 (0.211) Data 0.043 (0.049) Loss 2.2787 (2.2683) Prec@1 47.266 (48.141) Prec@5 75.781 (73.254)
Epoch: [82][1400/5005] Time 0.213 (0.211) Data 0.057 (0.049) Loss 2.2280 (2.2676) Prec@1 50.000 (48.148) Prec@5 72.266 (73.265)
Epoch: [82][1410/5005] Time 0.215 (0.211) Data 0.041 (0.049) Loss 2.2925 (2.2675) Prec@1 48.828 (48.162) Prec@5 74.609 (73.271)
Epoch: [82][1420/5005] Time 0.210 (0.211) Data 0.048 (0.049) Loss 2.4012 (2.2675) Prec@1 44.531 (48.156) Prec@5 69.922 (73.267)
Epoch: [82][1430/5005] Time 0.220 (0.211) Data 0.042 (0.049) Loss 1.9084 (2.2670) Prec@1 55.859 (48.165) Prec@5 78.516 (73.276)
Epoch: [82][1440/5005] Time 0.207 (0.211) Data 0.043 (0.049) Loss 2.0246 (2.2667) Prec@1 50.000 (48.159) Prec@5 78.125 (73.278)
Epoch: [82][1450/5005] Time 0.207 (0.211) Data 0.041 (0.049) Loss 2.3551 (2.2667) Prec@1 45.703 (48.164) Prec@5 71.875 (73.272)
Epoch: [82][1460/5005] Time 0.205 (0.211) Data 0.042 (0.049) Loss 2.3436 (2.2663) Prec@1 41.797 (48.165) Prec@5 73.047 (73.280)
Epoch: [82][1470/5005] Time 0.214 (0.211) Data 0.044 (0.049) Loss 2.2034 (2.2664) Prec@1 49.219 (48.172) Prec@5 75.000 (73.278)
Epoch: [82][1480/5005] Time 0.206 (0.211) Data 0.045 (0.049) Loss 2.1583 (2.2666) Prec@1 51.172 (48.168) Prec@5 72.656 (73.270)
Epoch: [82][1490/5005] Time 0.200 (0.211) Data 0.047 (0.049) Loss 2.4261 (2.2664) Prec@1 46.094 (48.164) Prec@5 70.312 (73.271)
Epoch: [82][1500/5005] Time 0.202 (0.211) Data 0.047 (0.048) Loss 2.3479 (2.2664) Prec@1 46.875 (48.166) Prec@5 71.875 (73.277)
Epoch: [82][1510/5005] Time 0.218 (0.211) Data 0.042 (0.049) Loss 2.0961 (2.2663) Prec@1 46.875 (48.165) Prec@5 76.562 (73.279)
Epoch: [82][1520/5005] Time 0.213 (0.211) Data 0.042 (0.049) Loss 2.2784 (2.2664) Prec@1 49.219 (48.166) Prec@5 74.219 (73.280)
Epoch: [82][1530/5005] Time 0.219 (0.211) Data 0.049 (0.049) Loss 2.4049 (2.2665) Prec@1 45.312 (48.163) Prec@5 70.312 (73.275)
Epoch: [82][1540/5005] Time 0.211 (0.211) Data 0.044 (0.049) Loss 2.4375 (2.2668) Prec@1 44.922 (48.162) Prec@5 67.578 (73.268)
Epoch: [82][1550/5005] Time 0.203 (0.211) Data 0.048 (0.049) Loss 2.1403 (2.2663) Prec@1 47.656 (48.173) Prec@5 78.516 (73.277)
Epoch: [82][1560/5005] Time 0.205 (0.211) Data 0.046 (0.049) Loss 2.1434 (2.2663) Prec@1 49.219 (48.175) Prec@5 75.000 (73.284)
Epoch: [82][1570/5005] Time 0.202 (0.211) Data 0.045 (0.049) Loss 2.1851 (2.2661) Prec@1 51.953 (48.186) Prec@5 75.000 (73.285)
Epoch: [82][1580/5005] Time 0.203 (0.211) Data 0.046 (0.049) Loss 2.1652 (2.2662) Prec@1 49.609 (48.173) Prec@5 75.781 (73.285)
Epoch: [82][1590/5005] Time 0.212 (0.211) Data 0.048 (0.049) Loss 2.2917 (2.2662) Prec@1 49.219 (48.168) Prec@5 71.094 (73.277)
Epoch: [82][1600/5005] Time 0.201 (0.211) Data 0.046 (0.049) Loss 2.3730 (2.2663) Prec@1 45.703 (48.167) Prec@5 71.484 (73.274)
Epoch: [82][1610/5005] Time 0.210 (0.211) Data 0.047 (0.049) Loss 2.3054 (2.2661) Prec@1 50.000 (48.178) Prec@5 76.172 (73.280)
Epoch: [82][1620/5005] Time 0.211 (0.211) Data 0.043 (0.049) Loss 2.3796 (2.2658) Prec@1 44.141 (48.177) Prec@5 73.047 (73.286)
Epoch: [82][1630/5005] Time 0.211 (0.211) Data 0.044 (0.049) Loss 2.2431 (2.2657) Prec@1 46.875 (48.174) Prec@5 77.344 (73.291)
Epoch: [82][1640/5005] Time 0.213 (0.211) Data 0.044 (0.049) Loss 2.3829 (2.2661) Prec@1 50.391 (48.172) Prec@5 70.703 (73.290)
Epoch: [82][1650/5005] Time 0.215 (0.211) Data 0.046 (0.049) Loss 2.2925 (2.2661) Prec@1 49.609 (48.175) Prec@5 75.391 (73.293)
Epoch: [82][1660/5005] Time 0.203 (0.211) Data 0.048 (0.048) Loss 2.1406 (2.2651) Prec@1 53.516 (48.208) Prec@5 76.562 (73.310)
Epoch: [82][1670/5005] Time 0.215 (0.211) Data 0.044 (0.048) Loss 2.1404 (2.2654) Prec@1 48.828 (48.205) Prec@5 75.000 (73.309)
Epoch: [82][1680/5005] Time 0.209 (0.211) Data 0.043 (0.048) Loss 2.4257 (2.2656) Prec@1 48.828 (48.200) Prec@5 71.094 (73.307)
Epoch: [82][1690/5005] Time 0.212 (0.211) Data 0.050 (0.048) Loss 2.0491 (2.2652) Prec@1 54.688 (48.204) Prec@5 73.438 (73.314)
Epoch: [82][1700/5005] Time 0.208 (0.211) Data 0.041 (0.048) Loss 2.2598 (2.2649) Prec@1 48.047 (48.209) Prec@5 72.656 (73.316)
Epoch: [82][1710/5005] Time 0.211 (0.211) Data 0.045 (0.048) Loss 2.2113 (2.2645) Prec@1 50.781 (48.219) Prec@5 74.219 (73.324)
Epoch: [82][1720/5005] Time 0.213 (0.211) Data 0.046 (0.048) Loss 2.3343 (2.2646) Prec@1 45.703 (48.214) Prec@5 73.438 (73.322)
Epoch: [82][1730/5005] Time 0.207 (0.211) Data 0.054 (0.048) Loss 2.2005 (2.2646) Prec@1 47.656 (48.209) Prec@5 73.828 (73.328)
Epoch: [82][1740/5005] Time 0.192 (0.211) Data 0.050 (0.048) Loss 2.3434 (2.2645) Prec@1 44.922 (48.206) Prec@5 72.266 (73.329)
Epoch: [82][1750/5005] Time 0.217 (0.211) Data 0.050 (0.048) Loss 2.2803 (2.2642) Prec@1 49.219 (48.209) Prec@5 70.703 (73.336)
Epoch: [82][1760/5005] Time 0.210 (0.211) Data 0.047 (0.049) Loss 2.0407 (2.2639) Prec@1 51.953 (48.215) Prec@5 76.953 (73.338)
Epoch: [82][1770/5005] Time 0.205 (0.210) Data 0.047 (0.049) Loss 2.2995 (2.2638) Prec@1 49.609 (48.218) Prec@5 74.609 (73.339)
Epoch: [82][1780/5005] Time 0.207 (0.210) Data 0.049 (0.049) Loss 2.2014 (2.2638) Prec@1 50.781 (48.217) Prec@5 75.781 (73.340)
Epoch: [82][1790/5005] Time 0.200 (0.210) Data 0.047 (0.049) Loss 2.0789 (2.2633) Prec@1 52.734 (48.223) Prec@5 75.391 (73.346)
Epoch: [82][1800/5005] Time 0.213 (0.210) Data 0.045 (0.049) Loss 2.0850 (2.2631) Prec@1 57.031 (48.232) Prec@5 73.438 (73.349)
Epoch: [82][1810/5005] Time 0.205 (0.210) Data 0.041 (0.049) Loss 2.1932 (2.2628) Prec@1 49.219 (48.233) Prec@5 72.656 (73.357)
Epoch: [82][1820/5005] Time 0.214 (0.210) Data 0.045 (0.048) Loss 2.2977 (2.2627) Prec@1 46.875 (48.239) Prec@5 71.484 (73.356)
Epoch: [82][1830/5005] Time 0.206 (0.210) Data 0.058 (0.048) Loss 2.0372 (2.2623) Prec@1 53.125 (48.241) Prec@5 76.172 (73.362)
Epoch: [82][1840/5005] Time 0.211 (0.210) Data 0.058 (0.049) Loss 2.3284 (2.2623) Prec@1 46.875 (48.238) Prec@5 73.047 (73.359)
Epoch: [82][1850/5005] Time 0.207 (0.210) Data 0.048 (0.049) Loss 2.1672 (2.2619) Prec@1 49.219 (48.243) Prec@5 76.172 (73.366)
Epoch: [82][1860/5005] Time 0.203 (0.210) Data 0.050 (0.049) Loss 2.3138 (2.2620) Prec@1 48.828 (48.244) Prec@5 71.875 (73.360)
Epoch: [82][1870/5005] Time 0.217 (0.210) Data 0.043 (0.049) Loss 2.3607 (2.2624) Prec@1 46.094 (48.236) Prec@5 73.438 (73.357)
Epoch: [82][1880/5005] Time 0.197 (0.210) Data 0.053 (0.049) Loss 2.2008 (2.2625) Prec@1 49.219 (48.234) Prec@5 71.094 (73.354)
Epoch: [82][1890/5005] Time 0.210 (0.210) Data 0.046 (0.049) Loss 2.2440 (2.2624) Prec@1 49.219 (48.232) Prec@5 73.828 (73.354)
Epoch: [82][1900/5005] Time 0.203 (0.210) Data 0.044 (0.049) Loss 2.2167 (2.2629) Prec@1 49.219 (48.222) Prec@5 77.734 (73.345)
Epoch: [82][1910/5005] Time 0.221 (0.210) Data 0.047 (0.049) Loss 2.1744 (2.2626) Prec@1 46.484 (48.221) Prec@5 74.219 (73.350)
Epoch: [82][1920/5005] Time 0.206 (0.210) Data 0.043 (0.049) Loss 2.1954 (2.2624) Prec@1 44.922 (48.215) Prec@5 76.172 (73.353)
Epoch: [82][1930/5005] Time 0.217 (0.210) Data 0.041 (0.049) Loss 2.1249 (2.2621) Prec@1 51.953 (48.224) Prec@5 75.781 (73.359)
Epoch: [82][1940/5005] Time 0.203 (0.210) Data 0.043 (0.048) Loss 2.0660 (2.2617) Prec@1 53.906 (48.228) Prec@5 76.172 (73.368)
Epoch: [82][1950/5005] Time 0.208 (0.210) Data 0.043 (0.048) Loss 2.2413 (2.2615) Prec@1 45.703 (48.233) Prec@5 75.391 (73.376)
Epoch: [82][1960/5005] Time 0.212 (0.210) Data 0.046 (0.048) Loss 2.1588 (2.2613) Prec@1 49.609 (48.230) Prec@5 77.344 (73.382)
Epoch: [82][1970/5005] Time 0.209 (0.210) Data 0.060 (0.049) Loss 2.2047 (2.2613) Prec@1 50.000 (48.232) Prec@5 71.875 (73.380)
Epoch: [82][1980/5005] Time 0.213 (0.210) Data 0.048 (0.049) Loss 1.9278 (2.2611) Prec@1 57.031 (48.238) Prec@5 78.125 (73.382)
Epoch: [82][1990/5005] Time 0.212 (0.210) Data 0.040 (0.049) Loss 2.1823 (2.2610) Prec@1 50.000 (48.243) Prec@5 74.219 (73.387)
Epoch: [82][2000/5005] Time 0.221 (0.210) Data 0.042 (0.048) Loss 2.1107 (2.2611) Prec@1 52.344 (48.234) Prec@5 76.953 (73.381)
Epoch: [82][2010/5005] Time 0.212 (0.210) Data 0.041 (0.048) Loss 2.2051 (2.2611) Prec@1 48.047 (48.228) Prec@5 74.219 (73.382)
Epoch: [82][2020/5005] Time 0.207 (0.210) Data 0.044 (0.048) Loss 2.2898 (2.2612) Prec@1 45.703 (48.223) Prec@5 75.000 (73.383)
Epoch: [82][2030/5005] Time 0.199 (0.210) Data 0.051 (0.048) Loss 2.2784 (2.2612) Prec@1 50.000 (48.223) Prec@5 76.172 (73.382)
Epoch: [82][2040/5005] Time 0.209 (0.210) Data 0.048 (0.048) Loss 1.9188 (2.2609) Prec@1 51.953 (48.226) Prec@5 78.125 (73.390)
Epoch: [82][2050/5005] Time 0.214 (0.210) Data 0.044 (0.048) Loss 2.3847 (2.2607) Prec@1 46.484 (48.230) Prec@5 70.312 (73.390)
Epoch: [82][2060/5005] Time 0.221 (0.210) Data 0.042 (0.048) Loss 2.0471 (2.2607) Prec@1 49.219 (48.226) Prec@5 76.172 (73.394)
Epoch: [82][2070/5005] Time 0.210 (0.210) Data 0.045 (0.048) Loss 2.4962 (2.2608) Prec@1 44.531 (48.223) Prec@5 71.484 (73.388)
Epoch: [82][2080/5005] Time 0.210 (0.210) Data 0.045 (0.048) Loss 2.2530 (2.2607) Prec@1 48.047 (48.222) Prec@5 76.172 (73.390)
Epoch: [82][2090/5005] Time 0.208 (0.210) Data 0.048 (0.048) Loss 2.1134 (2.2602) Prec@1 50.000 (48.233) Prec@5 75.391 (73.401)
Epoch: [82][2100/5005] Time 0.208 (0.210) Data 0.046 (0.048) Loss 2.3634 (2.2602) Prec@1 48.828 (48.234) Prec@5 71.484 (73.398)
Epoch: [82][2110/5005] Time 0.209 (0.210) Data 0.044 (0.048) Loss 2.1076 (2.2604) Prec@1 50.000 (48.232) Prec@5 77.734 (73.393)
Epoch: [82][2120/5005] Time 0.204 (0.210) Data 0.058 (0.048) Loss 2.3800 (2.2602) Prec@1 48.438 (48.236) Prec@5 71.484 (73.397)
Epoch: [82][2130/5005] Time 0.205 (0.210) Data 0.047 (0.048) Loss 2.3633 (2.2599) Prec@1 48.047 (48.238) Prec@5 71.094 (73.403)
Epoch: [82][2140/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.2461 (2.2599) Prec@1 48.828 (48.235) Prec@5 74.219 (73.404)
Epoch: [82][2150/5005] Time 0.207 (0.210) Data 0.043 (0.048) Loss 2.1213 (2.2599) Prec@1 53.516 (48.232) Prec@5 75.391 (73.401)
Epoch: [82][2160/5005] Time 0.202 (0.210) Data 0.043 (0.048) Loss 2.1259 (2.2598) Prec@1 53.516 (48.236) Prec@5 76.562 (73.403)
Epoch: [82][2170/5005] Time 0.201 (0.210) Data 0.046 (0.048) Loss 2.2064 (2.2596) Prec@1 48.047 (48.243) Prec@5 73.828 (73.406)
Epoch: [82][2180/5005] Time 0.198 (0.210) Data 0.044 (0.048) Loss 2.2211 (2.2597) Prec@1 50.781 (48.242) Prec@5 72.656 (73.404)
Epoch: [82][2190/5005] Time 0.206 (0.210) Data 0.060 (0.048) Loss 2.5479 (2.2600) Prec@1 39.844 (48.233) Prec@5 69.531 (73.402)
Epoch: [82][2200/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.1575 (2.2603) Prec@1 49.219 (48.231) Prec@5 76.562 (73.398)
Epoch: [82][2210/5005] Time 0.202 (0.210) Data 0.057 (0.048) Loss 2.2946 (2.2605) Prec@1 46.484 (48.234) Prec@5 71.094 (73.391)
Epoch: [82][2220/5005] Time 0.216 (0.210) Data 0.044 (0.048) Loss 2.3962 (2.2603) Prec@1 47.656 (48.238) Prec@5 69.922 (73.397)
Epoch: [82][2230/5005] Time 0.212 (0.210) Data 0.050 (0.048) Loss 2.2691 (2.2603) Prec@1 52.734 (48.239) Prec@5 73.047 (73.393)
Epoch: [82][2240/5005] Time 0.202 (0.210) Data 0.043 (0.048) Loss 2.2891 (2.2603) Prec@1 49.219 (48.240) Prec@5 73.438 (73.388)
Epoch: [82][2250/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.0909 (2.2604) Prec@1 50.781 (48.239) Prec@5 76.562 (73.391)
Epoch: [82][2260/5005] Time 0.206 (0.210) Data 0.044 (0.048) Loss 2.1906 (2.2602) Prec@1 46.094 (48.239) Prec@5 73.828 (73.396)
Epoch: [82][2270/5005] Time 0.198 (0.210) Data 0.047 (0.048) Loss 2.3415 (2.2600) Prec@1 46.094 (48.241) Prec@5 74.609 (73.400)
Epoch: [82][2280/5005] Time 0.212 (0.210) Data 0.048 (0.048) Loss 2.2607 (2.2599) Prec@1 51.172 (48.243) Prec@5 74.219 (73.403)
Epoch: [82][2290/5005] Time 0.204 (0.210) Data 0.039 (0.048) Loss 2.0973 (2.2597) Prec@1 51.953 (48.247) Prec@5 77.344 (73.410)
Epoch: [82][2300/5005] Time 0.202 (0.210) Data 0.042 (0.048) Loss 2.2846 (2.2597) Prec@1 48.047 (48.249) Prec@5 70.312 (73.414)
Epoch: [82][2310/5005] Time 0.219 (0.210) Data 0.044 (0.048) Loss 2.0549 (2.2596) Prec@1 52.734 (48.249) Prec@5 75.391 (73.413)
Epoch: [82][2320/5005] Time 0.208 (0.210) Data 0.041 (0.048) Loss 2.3871 (2.2597) Prec@1 44.922 (48.245) Prec@5 71.484 (73.410)
Epoch: [82][2330/5005] Time 0.209 (0.210) Data 0.044 (0.048) Loss 2.0878 (2.2596) Prec@1 54.297 (48.250) Prec@5 76.562 (73.412)
Epoch: [82][2340/5005] Time 0.198 (0.210) Data 0.061 (0.048) Loss 2.2375 (2.2594) Prec@1 48.828 (48.252) Prec@5 74.219 (73.418)
Epoch: [82][2350/5005] Time 0.207 (0.210) Data 0.053 (0.048) Loss 2.1661 (2.2593) Prec@1 52.734 (48.257) Prec@5 73.828 (73.420)
Epoch: [82][2360/5005] Time 0.200 (0.210) Data 0.042 (0.048) Loss 2.2434 (2.2593) Prec@1 48.438 (48.256) Prec@5 71.484 (73.416)
Epoch: [82][2370/5005] Time 0.204 (0.210) Data 0.048 (0.048) Loss 2.2986 (2.2595) Prec@1 45.312 (48.252) Prec@5 71.094 (73.413)
Epoch: [82][2380/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.2955 (2.2593) Prec@1 51.172 (48.254) Prec@5 72.656 (73.416)
Epoch: [82][2390/5005] Time 0.205 (0.210) Data 0.047 (0.048) Loss 2.2502 (2.2591) Prec@1 50.000 (48.260) Prec@5 74.609 (73.420)
Epoch: [82][2400/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.1826 (2.2590) Prec@1 48.047 (48.255) Prec@5 75.391 (73.425)
Epoch: [82][2410/5005] Time 0.207 (0.210) Data 0.047 (0.048) Loss 2.4138 (2.2590) Prec@1 44.922 (48.255) Prec@5 70.312 (73.424)
Epoch: [82][2420/5005] Time 0.210 (0.210) Data 0.042 (0.048) Loss 2.3699 (2.2590) Prec@1 49.219 (48.262) Prec@5 72.656 (73.431)
Epoch: [82][2430/5005] Time 0.205 (0.210) Data 0.044 (0.048) Loss 2.2009 (2.2591) Prec@1 47.656 (48.258) Prec@5 68.750 (73.425)
Epoch: [82][2440/5005] Time 0.208 (0.210) Data 0.045 (0.048) Loss 2.0042 (2.2589) Prec@1 54.688 (48.265) Prec@5 78.906 (73.428)
Epoch: [82][2450/5005] Time 0.213 (0.210) Data 0.042 (0.048) Loss 2.1553 (2.2587) Prec@1 48.828 (48.269) Prec@5 76.562 (73.434)
Epoch: [82][2460/5005] Time 0.209 (0.210) Data 0.053 (0.048) Loss 2.2687 (2.2586) Prec@1 44.922 (48.269) Prec@5 73.047 (73.435)
Epoch: [82][2470/5005] Time 0.203 (0.210) Data 0.051 (0.048) Loss 2.0975 (2.2584) Prec@1 50.391 (48.272) Prec@5 76.562 (73.438)
Epoch: [82][2480/5005] Time 0.207 (0.210) Data 0.042 (0.048) Loss 2.3182 (2.2587) Prec@1 47.266 (48.269) Prec@5 73.438 (73.431)
Epoch: [82][2490/5005] Time 0.206 (0.210) Data 0.056 (0.048) Loss 2.1300 (2.2587) Prec@1 50.391 (48.274) Prec@5 76.953 (73.429)
Epoch: [82][2500/5005] Time 0.203 (0.210) Data 0.042 (0.048) Loss 2.3637 (2.2587) Prec@1 46.484 (48.267) Prec@5 71.484 (73.429)
Epoch: [82][2510/5005] Time 0.205 (0.210) Data 0.048 (0.048) Loss 2.4242 (2.2587) Prec@1 43.750 (48.267) Prec@5 75.000 (73.430)
Epoch: [82][2520/5005] Time 0.205 (0.210) Data 0.051 (0.048) Loss 2.1507 (2.2586) Prec@1 51.172 (48.272) Prec@5 76.172 (73.433)
Epoch: [82][2530/5005] Time 0.207 (0.210) Data 0.046 (0.048) Loss 2.4468 (2.2588) Prec@1 44.531 (48.269) Prec@5 67.578 (73.429)
Epoch: [82][2540/5005] Time 0.209 (0.210) Data 0.045 (0.048) Loss 2.2097 (2.2589) Prec@1 46.484 (48.267) Prec@5 76.562 (73.428)
Epoch: [82][2550/5005] Time 0.195 (0.210) Data 0.052 (0.048) Loss 2.3658 (2.2589) Prec@1 44.531 (48.265) Prec@5 71.484 (73.429)
Epoch: [82][2560/5005] Time 0.208 (0.210) Data 0.051 (0.048) Loss 2.4324 (2.2591) Prec@1 45.703 (48.262) Prec@5 68.750 (73.425)
Epoch: [82][2570/5005] Time 0.218 (0.210) Data 0.044 (0.048) Loss 2.1978 (2.2592) Prec@1 47.266 (48.258) Prec@5 73.828 (73.425)
Epoch: [82][2580/5005] Time 0.216 (0.210) Data 0.039 (0.048) Loss 2.2873 (2.2594) Prec@1 45.703 (48.254) Prec@5 73.047 (73.419)
Epoch: [82][2590/5005] Time 0.205 (0.210) Data 0.049 (0.048) Loss 2.3791 (2.2593) Prec@1 48.047 (48.263) Prec@5 73.438 (73.417)
Epoch: [82][2600/5005] Time 0.213 (0.210) Data 0.042 (0.048) Loss 2.2611 (2.2596) Prec@1 47.266 (48.260) Prec@5 74.609 (73.410)
Epoch: [82][2610/5005] Time 0.216 (0.210) Data 0.041 (0.048) Loss 2.4568 (2.2594) Prec@1 42.969 (48.263) Prec@5 69.531 (73.412)
Epoch: [82][2620/5005] Time 0.206 (0.210) Data 0.053 (0.048) Loss 2.3476 (2.2594) Prec@1 46.094 (48.260) Prec@5 71.484 (73.408)
Epoch: [82][2630/5005] Time 0.217 (0.210) Data 0.040 (0.048) Loss 2.3463 (2.2599) Prec@1 50.781 (48.255) Prec@5 72.656 (73.400)
Epoch: [82][2640/5005] Time 0.205 (0.210) Data 0.046 (0.048) Loss 2.4784 (2.2600) Prec@1 41.406 (48.250) Prec@5 67.969 (73.399)
Epoch: [82][2650/5005] Time 0.199 (0.210) Data 0.061 (0.048) Loss 2.3919 (2.2598) Prec@1 48.047 (48.251) Prec@5 70.703 (73.402)
Epoch: [82][2660/5005] Time 0.207 (0.210) Data 0.046 (0.048) Loss 2.1456 (2.2598) Prec@1 50.781 (48.254) Prec@5 74.219 (73.403)
Epoch: [82][2670/5005] Time 0.192 (0.210) Data 0.049 (0.048) Loss 2.0932 (2.2595) Prec@1 50.000 (48.262) Prec@5 74.609 (73.405)
Epoch: [82][2680/5005] Time 0.197 (0.210) Data 0.052 (0.048) Loss 2.1638 (2.2595) Prec@1 49.219 (48.264) Prec@5 73.828 (73.404)
Epoch: [82][2690/5005] Time 0.204 (0.210) Data 0.044 (0.048) Loss 2.1124 (2.2593) Prec@1 50.000 (48.268) Prec@5 76.562 (73.404)
Epoch: [82][2700/5005] Time 0.209 (0.210) Data 0.050 (0.048) Loss 2.2272 (2.2596) Prec@1 46.094 (48.262) Prec@5 76.562 (73.401)
Epoch: [82][2710/5005] Time 0.205 (0.210) Data 0.042 (0.048) Loss 2.0081 (2.2598) Prec@1 51.562 (48.256) Prec@5 76.172 (73.398)
Epoch: [82][2720/5005] Time 0.201 (0.210) Data 0.049 (0.048) Loss 2.2101 (2.2598) Prec@1 50.000 (48.254) Prec@5 75.391 (73.399)
Epoch: [82][2730/5005] Time 0.204 (0.210) Data 0.048 (0.048) Loss 2.3035 (2.2596) Prec@1 48.828 (48.261) Prec@5 73.828 (73.402)
Epoch: [82][2740/5005] Time 0.198 (0.210) Data 0.042 (0.048) Loss 2.1163 (2.2595) Prec@1 49.609 (48.263) Prec@5 76.953 (73.404)
Epoch: [82][2750/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.2689 (2.2594) Prec@1 48.047 (48.264) Prec@5 76.172 (73.404)
Epoch: [82][2760/5005] Time 0.202 (0.210) Data 0.048 (0.048) Loss 2.2825 (2.2594) Prec@1 46.094 (48.265) Prec@5 73.047 (73.405)
Epoch: [82][2770/5005] Time 0.208 (0.210) Data 0.060 (0.048) Loss 2.1073 (2.2594) Prec@1 53.125 (48.265) Prec@5 76.562 (73.406)
Epoch: [82][2780/5005] Time 0.212 (0.210) Data 0.048 (0.048) Loss 2.4220 (2.2594) Prec@1 46.875 (48.272) Prec@5 70.312 (73.407)
Epoch: [82][2790/5005] Time 0.209 (0.210) Data 0.042 (0.048) Loss 2.5666 (2.2595) Prec@1 41.406 (48.273) Prec@5 66.797 (73.405)
Epoch: [82][2800/5005] Time 0.210 (0.209) Data 0.043 (0.048) Loss 1.9486 (2.2594) Prec@1 54.297 (48.274) Prec@5 79.297 (73.409)
Epoch: [82][2810/5005] Time 0.206 (0.209) Data 0.041 (0.048) Loss 2.5123 (2.2595) Prec@1 48.047 (48.276) Prec@5 70.312 (73.406)
Epoch: [82][2820/5005] Time 0.216 (0.209) Data 0.044 (0.048) Loss 1.8631 (2.2594) Prec@1 55.078 (48.273) Prec@5 79.688 (73.406)
Epoch: [82][2830/5005] Time 0.211 (0.209) Data 0.047 (0.048) Loss 2.5238 (2.2594) Prec@1 42.578 (48.272) Prec@5 72.266 (73.408)
Epoch: [82][2840/5005] Time 0.210 (0.209) Data 0.042 (0.048) Loss 2.3885 (2.2593) Prec@1 43.750 (48.268) Prec@5 69.531 (73.408)
Epoch: [82][2850/5005] Time 0.210 (0.209) Data 0.048 (0.048) Loss 2.1802 (2.2593) Prec@1 55.078 (48.272) Prec@5 72.656 (73.410)
Epoch: [82][2860/5005] Time 0.214 (0.209) Data 0.042 (0.048) Loss 2.1775 (2.2594) Prec@1 51.562 (48.277) Prec@5 75.781 (73.409)
Epoch: [82][2870/5005] Time 0.216 (0.209) Data 0.043 (0.048) Loss 2.1281 (2.2591) Prec@1 51.172 (48.284) Prec@5 72.656 (73.412)
Epoch: [82][2880/5005] Time 0.194 (0.209) Data 0.044 (0.048) Loss 2.2803 (2.2590) Prec@1 45.312 (48.285) Prec@5 74.609 (73.417)
Epoch: [82][2890/5005] Time 0.212 (0.209) Data 0.041 (0.048) Loss 2.2620 (2.2589) Prec@1 43.750 (48.284) Prec@5 72.656 (73.419)
Epoch: [82][2900/5005] Time 0.215 (0.209) Data 0.042 (0.048) Loss 1.8545 (2.2587) Prec@1 55.078 (48.290) Prec@5 80.859 (73.420)
Epoch: [82][2910/5005] Time 0.209 (0.209) Data 0.043 (0.048) Loss 2.2376 (2.2588) Prec@1 46.484 (48.290) Prec@5 73.438 (73.418)
Epoch: [82][2920/5005] Time 0.206 (0.209) Data 0.045 (0.048) Loss 2.3770 (2.2589) Prec@1 42.578 (48.283) Prec@5 70.312 (73.420)
Epoch: [82][2930/5005] Time 0.206 (0.209) Data 0.040 (0.048) Loss 2.3839 (2.2589) Prec@1 43.359 (48.280) Prec@5 73.438 (73.422)
Epoch: [82][2940/5005] Time 0.214 (0.209) Data 0.042 (0.048) Loss 2.3020 (2.2587) Prec@1 44.922 (48.279) Prec@5 73.438 (73.427)
Epoch: [82][2950/5005] Time 0.205 (0.209) Data 0.038 (0.048) Loss 2.4038 (2.2585) Prec@1 39.453 (48.278) Prec@5 73.828 (73.432)
Epoch: [82][2960/5005] Time 0.213 (0.209) Data 0.043 (0.048) Loss 2.1609 (2.2583) Prec@1 46.875 (48.283) Prec@5 75.000 (73.435)
Epoch: [82][2970/5005] Time 0.208 (0.209) Data 0.042 (0.048) Loss 2.3468 (2.2582) Prec@1 41.406 (48.284) Prec@5 71.875 (73.439)
Epoch: [82][2980/5005] Time 0.197 (0.209) Data 0.054 (0.048) Loss 2.4074 (2.2583) Prec@1 43.750 (48.280) Prec@5 71.875 (73.436)
Epoch: [82][2990/5005] Time 0.209 (0.209) Data 0.042 (0.048) Loss 2.2514 (2.2583) Prec@1 51.953 (48.279) Prec@5 75.000 (73.435)
Epoch: [82][3000/5005] Time 0.208 (0.209) Data 0.066 (0.048) Loss 2.2164 (2.2582) Prec@1 48.438 (48.275) Prec@5 75.391 (73.438)
Epoch: [82][3010/5005] Time 0.204 (0.209) Data 0.041 (0.048) Loss 2.1944 (2.2583) Prec@1 46.875 (48.273) Prec@5 74.609 (73.435)
Epoch: [82][3020/5005] Time 0.199 (0.209) Data 0.045 (0.048) Loss 2.1525 (2.2585) Prec@1 43.359 (48.267) Prec@5 75.781 (73.435)
Epoch: [82][3030/5005] Time 0.206 (0.209) Data 0.045 (0.048) Loss 2.1708 (2.2585) Prec@1 51.172 (48.264) Prec@5 74.609 (73.435)
Epoch: [82][3040/5005] Time 0.206 (0.209) Data 0.044 (0.048) Loss 2.2526 (2.2585) Prec@1 47.656 (48.268) Prec@5 75.781 (73.436)
Epoch: [82][3050/5005] Time 0.204 (0.209) Data 0.043 (0.048) Loss 2.2524 (2.2586) Prec@1 43.359 (48.264) Prec@5 74.609 (73.436)
Epoch: [82][3060/5005] Time 0.209 (0.209) Data 0.043 (0.048) Loss 2.1295 (2.2584) Prec@1 49.609 (48.267) Prec@5 77.344 (73.439)
Epoch: [82][3070/5005] Time 0.212 (0.209) Data 0.044 (0.048) Loss 2.1897 (2.2584) Prec@1 47.266 (48.271) Prec@5 75.781 (73.440)
Epoch: [82][3080/5005] Time 0.205 (0.209) Data 0.044 (0.048) Loss 2.0880 (2.2583) Prec@1 51.562 (48.271) Prec@5 75.781 (73.443)
Epoch: [82][3090/5005] Time 0.209 (0.209) Data 0.047 (0.048) Loss 2.5926 (2.2583) Prec@1 39.453 (48.271) Prec@5 67.188 (73.443)
Epoch: [82][3100/5005] Time 0.203 (0.209) Data 0.043 (0.048) Loss 2.3042 (2.2583) Prec@1 50.391 (48.269) Prec@5 71.875 (73.443)
Epoch: [82][3110/5005] Time 0.209 (0.209) Data 0.046 (0.048) Loss 2.1384 (2.2582) Prec@1 48.438 (48.271) Prec@5 76.953 (73.447)
Epoch: [82][3120/5005] Time 0.207 (0.209) Data 0.041 (0.048) Loss 2.1591 (2.2580) Prec@1 49.219 (48.272) Prec@5 76.172 (73.450)
Epoch: [82][3130/5005] Time 0.209 (0.209) Data 0.047 (0.048) Loss 2.3193 (2.2578) Prec@1 44.531 (48.273) Prec@5 75.000 (73.450)
Epoch: [82][3140/5005] Time 0.206 (0.209) Data 0.051 (0.048) Loss 1.9523 (2.2577) Prec@1 53.125 (48.277) Prec@5 77.734 (73.452)
Epoch: [82][3150/5005] Time 0.214 (0.209) Data 0.047 (0.048) Loss 2.1635 (2.2575) Prec@1 48.438 (48.280) Prec@5 74.219 (73.452)
Epoch: [82][3160/5005] Time 0.207 (0.209) Data 0.051 (0.048) Loss 2.2578 (2.2575) Prec@1 46.094 (48.276) Prec@5 75.391 (73.452)
Epoch: [82][3170/5005] Time 0.208 (0.209) Data 0.042 (0.048) Loss 2.3460 (2.2575) Prec@1 42.969 (48.276) Prec@5 73.047 (73.453)
Epoch: [82][3180/5005] Time 0.206 (0.209) Data 0.043 (0.048) Loss 2.0768 (2.2575) Prec@1 55.469 (48.280) Prec@5 76.172 (73.455)
Epoch: [82][3190/5005] Time 0.207 (0.209) Data 0.045 (0.048) Loss 2.2281 (2.2575) Prec@1 48.828 (48.282) Prec@5 74.219 (73.454)
Epoch: [82][3200/5005] Time 0.213 (0.209) Data 0.044 (0.048) Loss 2.3458 (2.2574) Prec@1 44.922 (48.285) Prec@5 72.656 (73.454)
Epoch: [82][3210/5005] Time 0.208 (0.209) Data 0.041 (0.048) Loss 2.4143 (2.2574) Prec@1 48.047 (48.286) Prec@5 70.312 (73.457)
Epoch: [82][3220/5005] Time 0.213 (0.209) Data 0.045 (0.048) Loss 2.3727 (2.2575) Prec@1 49.219 (48.287) Prec@5 71.875 (73.454)
Epoch: [82][3230/5005] Time 0.208 (0.209) Data 0.042 (0.048) Loss 2.1809 (2.2574) Prec@1 46.484 (48.292) Prec@5 73.047 (73.454)
Epoch: [82][3240/5005] Time 0.205 (0.209) Data 0.042 (0.048) Loss 2.4983 (2.2578) Prec@1 42.578 (48.284) Prec@5 69.922 (73.447)
Epoch: [82][3250/5005] Time 0.212 (0.209) Data 0.042 (0.048) Loss 2.2094 (2.2578) Prec@1 49.609 (48.285) Prec@5 76.172 (73.448)
Epoch: [82][3260/5005] Time 0.204 (0.209) Data 0.042 (0.048) Loss 2.0775 (2.2578) Prec@1 53.906 (48.282) Prec@5 74.219 (73.445)
Epoch: [82][3270/5005] Time 0.207 (0.209) Data 0.043 (0.048) Loss 2.3672 (2.2575) Prec@1 45.703 (48.286) Prec@5 71.484 (73.449)
Epoch: [82][3280/5005] Time 0.207 (0.209) Data 0.050 (0.048) Loss 2.2308 (2.2576) Prec@1 53.125 (48.287) Prec@5 73.438 (73.450)
Epoch: [82][3290/5005] Time 0.210 (0.209) Data 0.041 (0.048) Loss 2.3465 (2.2577) Prec@1 47.266 (48.285) Prec@5 71.094 (73.449)
Epoch: [82][3300/5005] Time 0.202 (0.209) Data 0.042 (0.048) Loss 2.1782 (2.2576) Prec@1 47.656 (48.286) Prec@5 71.875 (73.450)
Epoch: [82][3310/5005] Time 0.207 (0.209) Data 0.042 (0.048) Loss 2.1189 (2.2576) Prec@1 50.391 (48.287) Prec@5 77.344 (73.449)
Epoch: [82][3320/5005] Time 0.209 (0.209) Data 0.043 (0.048) Loss 2.3146 (2.2575) Prec@1 48.828 (48.291) Prec@5 69.141 (73.450)
Epoch: [82][3330/5005] Time 0.209 (0.209) Data 0.043 (0.048) Loss 2.3711 (2.2577) Prec@1 46.094 (48.290) Prec@5 67.188 (73.447)
Epoch: [82][3340/5005] Time 0.203 (0.209) Data 0.043 (0.048) Loss 2.2919 (2.2577) Prec@1 46.875 (48.291) Prec@5 71.875 (73.446)
Epoch: [82][3350/5005] Time 0.203 (0.209) Data 0.046 (0.048) Loss 2.3355 (2.2575) Prec@1 49.609 (48.293) Prec@5 71.484 (73.448)
Epoch: [82][3360/5005] Time 0.199 (0.209) Data 0.061 (0.048) Loss 2.2116 (2.2576) Prec@1 49.609 (48.296) Prec@5 74.219 (73.447)
Epoch: [82][3370/5005] Time 0.209 (0.209) Data 0.052 (0.048) Loss 2.2439 (2.2577) Prec@1 44.531 (48.297) Prec@5 73.438 (73.444)
Epoch: [82][3380/5005] Time 0.205 (0.209) Data 0.057 (0.048) Loss 2.2221 (2.2575) Prec@1 48.047 (48.298) Prec@5 71.484 (73.445)
Epoch: [82][3390/5005] Time 0.200 (0.209) Data 0.042 (0.048) Loss 2.1510 (2.2577) Prec@1 53.906 (48.292) Prec@5 75.000 (73.443)
Epoch: [82][3400/5005] Time 0.214 (0.209) Data 0.043 (0.048) Loss 2.0763 (2.2577) Prec@1 51.562 (48.291) Prec@5 76.172 (73.442)
Epoch: [82][3410/5005] Time 0.214 (0.209) Data 0.045 (0.048) Loss 2.2069 (2.2576) Prec@1 49.609 (48.292) Prec@5 76.172 (73.446)
Epoch: [82][3420/5005] Time 0.197 (0.209) Data 0.044 (0.048) Loss 2.3002 (2.2576) Prec@1 46.484 (48.291) Prec@5 75.000 (73.447)
Epoch: [82][3430/5005] Time 0.209 (0.209) Data 0.043 (0.048) Loss 2.2203 (2.2575) Prec@1 47.266 (48.293) Prec@5 71.875 (73.449)
Epoch: [82][3440/5005] Time 0.210 (0.209) Data 0.044 (0.048) Loss 2.2252 (2.2575) Prec@1 46.094 (48.292) Prec@5 71.875 (73.448)
Epoch: [82][3450/5005] Time 0.214 (0.209) Data 0.044 (0.048) Loss 2.0673 (2.2573) Prec@1 53.125 (48.295) Prec@5 75.781 (73.451)
Epoch: [82][3460/5005] Time 0.197 (0.209) Data 0.045 (0.048) Loss 2.2046 (2.2574) Prec@1 52.734 (48.295) Prec@5 74.219 (73.449)
Epoch: [82][3470/5005] Time 0.207 (0.209) Data 0.046 (0.048) Loss 2.1898 (2.2571) Prec@1 49.219 (48.301) Prec@5 74.219 (73.455)
Epoch: [82][3480/5005] Time 0.210 (0.209) Data 0.044 (0.048) Loss 2.2473 (2.2570) Prec@1 48.828 (48.301) Prec@5 69.922 (73.456)
Epoch: [82][3490/5005] Time 0.205 (0.209) Data 0.039 (0.048) Loss 2.4034 (2.2571) Prec@1 45.312 (48.303) Prec@5 71.484 (73.455)
Epoch: [82][3500/5005] Time 0.205 (0.209) Data 0.042 (0.048) Loss 1.9780 (2.2571) Prec@1 55.859 (48.301) Prec@5 80.078 (73.455)
Epoch: [82][3510/5005] Time 0.213 (0.209) Data 0.042 (0.048) Loss 2.0435 (2.2569) Prec@1 49.609 (48.303) Prec@5 76.172 (73.455)
Epoch: [82][3520/5005] Time 0.208 (0.209) Data 0.045 (0.048) Loss 2.2881 (2.2569) Prec@1 45.703 (48.303) Prec@5 72.656 (73.457)
Epoch: [82][3530/5005] Time 0.193 (0.209) Data 0.049 (0.048) Loss 2.2211 (2.2567) Prec@1 50.781 (48.308) Prec@5 74.609 (73.459)
Epoch: [82][3540/5005] Time 0.208 (0.209) Data 0.046 (0.048) Loss 2.0804 (2.2565) Prec@1 49.609 (48.312) Prec@5 77.344 (73.463)
Epoch: [82][3550/5005] Time 0.210 (0.209) Data 0.043 (0.048) Loss 2.4123 (2.2564) Prec@1 42.969 (48.312) Prec@5 73.047 (73.465)
Epoch: [82][3560/5005] Time 0.213 (0.209) Data 0.041 (0.048) Loss 2.3741 (2.2563) Prec@1 46.875 (48.312) Prec@5 69.922 (73.466)
Epoch: [82][3570/5005] Time 0.211 (0.209) Data 0.040 (0.048) Loss 2.3419 (2.2564) Prec@1 49.609 (48.310) Prec@5 72.656 (73.466)
Epoch: [82][3580/5005] Time 0.211 (0.209) Data 0.047 (0.048) Loss 2.2159 (2.2564) Prec@1 51.953 (48.310) Prec@5 73.047 (73.465)
Epoch: [82][3590/5005] Time 0.213 (0.209) Data 0.045 (0.048) Loss 2.2199 (2.2562) Prec@1 48.438 (48.316) Prec@5 72.656 (73.469)
Epoch: [82][3600/5005] Time 0.209 (0.209) Data 0.048 (0.048) Loss 2.3225 (2.2560) Prec@1 47.656 (48.318) Prec@5 67.188 (73.470)
Epoch: [82][3610/5005] Time 0.204 (0.209) Data 0.054 (0.048) Loss 2.1084 (2.2559) Prec@1 50.781 (48.316) Prec@5 76.172 (73.469)
Epoch: [82][3620/5005] Time 0.202 (0.209) Data 0.058 (0.048) Loss 2.4309 (2.2558) Prec@1 44.922 (48.321) Prec@5 67.969 (73.471)
Epoch: [82][3630/5005] Time 0.199 (0.209) Data 0.059 (0.048) Loss 2.4482 (2.2558) Prec@1 45.312 (48.319) Prec@5 69.922 (73.473)
Epoch: [82][3640/5005] Time 0.209 (0.209) Data 0.041 (0.048) Loss 2.1832 (2.2558) Prec@1 48.047 (48.318) Prec@5 75.000 (73.474)
Epoch: [82][3650/5005] Time 0.205 (0.209) Data 0.046 (0.048) Loss 2.0623 (2.2558) Prec@1 48.047 (48.315) Prec@5 79.297 (73.475)
Epoch: [82][3660/5005] Time 0.210 (0.209) Data 0.048 (0.048) Loss 2.3738 (2.2556) Prec@1 46.484 (48.316) Prec@5 70.312 (73.479)
Epoch: [82][3670/5005] Time 0.204 (0.209) Data 0.057 (0.048) Loss 2.4412 (2.2557) Prec@1 43.359 (48.313) Prec@5 73.047 (73.479)
Epoch: [82][3680/5005] Time 0.205 (0.209) Data 0.043 (0.048) Loss 2.1488 (2.2557) Prec@1 50.000 (48.313) Prec@5 77.344 (73.481)
Epoch: [82][3690/5005] Time 0.202 (0.209) Data 0.058 (0.048) Loss 2.0588 (2.2557) Prec@1 50.781 (48.315) Prec@5 77.734 (73.483)
Epoch: [82][3700/5005] Time 0.200 (0.209) Data 0.055 (0.048) Loss 2.1806 (2.2557) Prec@1 51.953 (48.318) Prec@5 75.781 (73.482)
Epoch: [82][3710/5005] Time 0.197 (0.209) Data 0.052 (0.048) Loss 2.1993 (2.2558) Prec@1 51.562 (48.316) Prec@5 76.562 (73.482)
Epoch: [82][3720/5005] Time 0.209 (0.209) Data 0.044 (0.048) Loss 2.3236 (2.2558) Prec@1 52.344 (48.316) Prec@5 71.875 (73.484)
Epoch: [82][3730/5005] Time 0.213 (0.209) Data 0.044 (0.048) Loss 2.1511 (2.2557) Prec@1 50.000 (48.315) Prec@5 73.438 (73.484)
Epoch: [82][3740/5005] Time 0.208 (0.209) Data 0.046 (0.048) Loss 2.2084 (2.2555) Prec@1 51.562 (48.320) Prec@5 75.391 (73.487)
Epoch: [82][3750/5005] Time 0.209 (0.209) Data 0.043 (0.048) Loss 2.0494 (2.2556) Prec@1 50.391 (48.318) Prec@5 74.609 (73.487)
Epoch: [82][3760/5005] Time 0.210 (0.209) Data 0.047 (0.048) Loss 2.2746 (2.2557) Prec@1 47.266 (48.315) Prec@5 71.875 (73.485)
Epoch: [82][3770/5005] Time 0.204 (0.209) Data 0.047 (0.048) Loss 2.3279 (2.2555) Prec@1 46.094 (48.317) Prec@5 68.750 (73.487)
Epoch: [82][3780/5005] Time 0.207 (0.209) Data 0.046 (0.048) Loss 2.2801 (2.2555) Prec@1 47.266 (48.319) Prec@5 71.484 (73.483)
Epoch: [82][3790/5005] Time 0.205 (0.209) Data 0.052 (0.048) Loss 2.4214 (2.2554) Prec@1 46.484 (48.322) Prec@5 71.484 (73.484)
Epoch: [82][3800/5005] Time 0.215 (0.209) Data 0.049 (0.048) Loss 2.2192 (2.2556) Prec@1 47.656 (48.320) Prec@5 73.828 (73.480)
Epoch: [82][3810/5005] Time 0.202 (0.209) Data 0.046 (0.048) Loss 2.2495 (2.2557) Prec@1 49.219 (48.314) Prec@5 74.609 (73.477)
Epoch: [82][3820/5005] Time 0.200 (0.209) Data 0.048 (0.048) Loss 2.1018 (2.2554) Prec@1 51.562 (48.318) Prec@5 78.516 (73.482)
Epoch: [82][3830/5005] Time 0.208 (0.209) Data 0.048 (0.048) Loss 2.2913 (2.2553) Prec@1 43.750 (48.319) Prec@5 73.828 (73.485)
Epoch: [82][3840/5005] Time 0.200 (0.209) Data 0.048 (0.048) Loss 2.4676 (2.2554) Prec@1 41.797 (48.316) Prec@5 67.578 (73.483)
Epoch: [82][3850/5005] Time 0.198 (0.209) Data 0.047 (0.048) Loss 2.2431 (2.2552) Prec@1 49.219 (48.319) Prec@5 74.609 (73.487)
Epoch: [82][3860/5005] Time 0.216 (0.209) Data 0.045 (0.048) Loss 2.0328 (2.2553) Prec@1 50.391 (48.319) Prec@5 76.172 (73.485)
Epoch: [82][3870/5005] Time 0.212 (0.209) Data 0.046 (0.048) Loss 2.2176 (2.2554) Prec@1 47.656 (48.315) Prec@5 74.609 (73.484)
Epoch: [82][3880/5005] Time 0.212 (0.209) Data 0.043 (0.048) Loss 2.0316 (2.2553) Prec@1 53.516 (48.316) Prec@5 78.125 (73.486)
Epoch: [82][3890/5005] Time 0.211 (0.209) Data 0.046 (0.048) Loss 2.4862 (2.2553) Prec@1 42.578 (48.315) Prec@5 71.094 (73.485)
Epoch: [82][3900/5005] Time 0.210 (0.209) Data 0.044 (0.048) Loss 2.4277 (2.2555) Prec@1 46.094 (48.311) Prec@5 72.656 (73.482)
Epoch: [82][3910/5005] Time 0.210 (0.209) Data 0.042 (0.048) Loss 2.3080 (2.2555) Prec@1 44.141 (48.311) Prec@5 71.875 (73.482)
Epoch: [82][3920/5005] Time 0.210 (0.209) Data 0.043 (0.048) Loss 2.1785 (2.2555) Prec@1 50.000 (48.312) Prec@5 74.609 (73.481)
Epoch: [82][3930/5005] Time 0.209 (0.209) Data 0.043 (0.048) Loss 2.2293 (2.2554) Prec@1 48.047 (48.313) Prec@5 73.828 (73.483)
Epoch: [82][3940/5005] Time 0.209 (0.209) Data 0.046 (0.048) Loss 2.1699 (2.2554) Prec@1 49.609 (48.314) Prec@5 71.094 (73.483)
Epoch: [82][3950/5005] Time 0.205 (0.209) Data 0.043 (0.048) Loss 2.2230 (2.2552) Prec@1 49.609 (48.315) Prec@5 74.609 (73.487)
Epoch: [82][3960/5005] Time 0.197 (0.209) Data 0.045 (0.048) Loss 2.2407 (2.2551) Prec@1 47.656 (48.314) Prec@5 74.219 (73.488)
Epoch: [82][3970/5005] Time 0.210 (0.209) Data 0.044 (0.048) Loss 2.1941 (2.2551) Prec@1 50.391 (48.312) Prec@5 76.953 (73.489)
Epoch: [82][3980/5005] Time 0.204 (0.209) Data 0.054 (0.048) Loss 2.0614 (2.2550) Prec@1 50.391 (48.315) Prec@5 77.734 (73.490)
Epoch: [82][3990/5005] Time 0.204 (0.209) Data 0.048 (0.048) Loss 2.4719 (2.2550) Prec@1 47.656 (48.314) Prec@5 71.094 (73.491)
Epoch: [82][4000/5005] Time 0.213 (0.209) Data 0.046 (0.048) Loss 2.0752 (2.2550) Prec@1 51.172 (48.314) Prec@5 75.000 (73.489)
Epoch: [82][4010/5005] Time 0.206 (0.209) Data 0.048 (0.048) Loss 2.2704 (2.2547) Prec@1 48.047 (48.318) Prec@5 73.828 (73.493)
Epoch: [82][4020/5005] Time 0.200 (0.209) Data 0.043 (0.048) Loss 2.3490 (2.2548) Prec@1 45.703 (48.318) Prec@5 69.922 (73.491)
Epoch: [82][4030/5005] Time 0.202 (0.209) Data 0.044 (0.048) Loss 2.3445 (2.2549) Prec@1 48.047 (48.315) Prec@5 71.094 (73.487)
Epoch: [82][4040/5005] Time 0.201 (0.209) Data 0.041 (0.048) Loss 2.2895 (2.2550) Prec@1 47.266 (48.314) Prec@5 73.828 (73.487)
Epoch: [82][4050/5005] Time 0.204 (0.209) Data 0.051 (0.048) Loss 2.5027 (2.2550) Prec@1 41.016 (48.313) Prec@5 70.312 (73.489)
Epoch: [82][4060/5005] Time 0.192 (0.209) Data 0.048 (0.048) Loss 2.3074 (2.2549) Prec@1 46.875 (48.314) Prec@5 72.656 (73.492)
Epoch: [82][4070/5005] Time 0.208 (0.209) Data 0.041 (0.048) Loss 2.2968 (2.2548) Prec@1 48.828 (48.314) Prec@5 74.219 (73.492)
Epoch: [82][4080/5005] Time 0.202 (0.209) Data 0.044 (0.048) Loss 2.1729 (2.2547) Prec@1 49.219 (48.315) Prec@5 73.047 (73.492)
Epoch: [82][4090/5005] Time 0.208 (0.209) Data 0.050 (0.048) Loss 2.3595 (2.2546) Prec@1 48.828 (48.314) Prec@5 74.219 (73.495)
Epoch: [82][4100/5005] Time 0.222 (0.209) Data 0.046 (0.048) Loss 2.2612 (2.2545) Prec@1 45.312 (48.315) Prec@5 75.000 (73.496)
Epoch: [82][4110/5005] Time 0.212 (0.209) Data 0.049 (0.048) Loss 2.3914 (2.2546) Prec@1 45.703 (48.315) Prec@5 69.922 (73.496)
Epoch: [82][4120/5005] Time 0.209 (0.209) Data 0.043 (0.048) Loss 2.1607 (2.2544) Prec@1 50.781 (48.319) Prec@5 76.172 (73.498)
Epoch: [82][4130/5005] Time 0.214 (0.209) Data 0.046 (0.048) Loss 2.4258 (2.2544) Prec@1 44.531 (48.319) Prec@5 69.531 (73.500)
Epoch: [82][4140/5005] Time 0.196 (0.209) Data 0.046 (0.048) Loss 2.2904 (2.2544) Prec@1 45.703 (48.318) Prec@5 72.266 (73.501)
Epoch: [82][4150/5005] Time 0.208 (0.209) Data 0.043 (0.048) Loss 2.4843 (2.2545) Prec@1 42.969 (48.317) Prec@5 70.312 (73.502)
Epoch: [82][4160/5005] Time 0.197 (0.209) Data 0.053 (0.048) Loss 2.1571 (2.2546) Prec@1 51.562 (48.315) Prec@5 72.656 (73.500)
Epoch: [82][4170/5005] Time 0.207 (0.209) Data 0.048 (0.048) Loss 2.1665 (2.2545) Prec@1 45.312 (48.316) Prec@5 75.391 (73.498)
Epoch: [82][4180/5005] Time 0.208 (0.209) Data 0.046 (0.048) Loss 2.1292 (2.2545) Prec@1 54.688 (48.318) Prec@5 75.391 (73.497)
Epoch: [82][4190/5005] Time 0.211 (0.209) Data 0.044 (0.048) Loss 2.1667 (2.2545) Prec@1 48.047 (48.317) Prec@5 75.391 (73.496)
Epoch: [82][4200/5005] Time 0.204 (0.209) Data 0.049 (0.048) Loss 2.2474 (2.2546) Prec@1 46.484 (48.315) Prec@5 75.000 (73.497)
Epoch: [82][4210/5005] Time 0.201 (0.209) Data 0.047 (0.048) Loss 2.0361 (2.2544) Prec@1 51.953 (48.316) Prec@5 78.125 (73.501)
Epoch: [82][4220/5005] Time 0.203 (0.209) Data 0.059 (0.048) Loss 2.3745 (2.2545) Prec@1 45.703 (48.314) Prec@5 71.875 (73.500)
Epoch: [82][4230/5005] Time 0.192 (0.209) Data 0.050 (0.048) Loss 2.2478 (2.2544) Prec@1 46.875 (48.314) Prec@5 73.438 (73.500)
Epoch: [82][4240/5005] Time 0.205 (0.209) Data 0.043 (0.048) Loss 2.1395 (2.2545) Prec@1 48.828 (48.315) Prec@5 76.562 (73.502)
Epoch: [82][4250/5005] Time 0.200 (0.209) Data 0.047 (0.048) Loss 2.2742 (2.2545) Prec@1 47.266 (48.314) Prec@5 71.484 (73.501)
Epoch: [82][4260/5005] Time 0.208 (0.209) Data 0.056 (0.048) Loss 2.2656 (2.2545) Prec@1 49.219 (48.313) Prec@5 73.828 (73.499)
Epoch: [82][4270/5005] Time 0.210 (0.209) Data 0.052 (0.048) Loss 2.3884 (2.2546) Prec@1 49.609 (48.311) Prec@5 72.656 (73.496)
Epoch: [82][4280/5005] Time 0.209 (0.209) Data 0.042 (0.048) Loss 2.2487 (2.2546) Prec@1 47.656 (48.310) Prec@5 73.047 (73.498)
Epoch: [82][4290/5005] Time 0.213 (0.209) Data 0.045 (0.048) Loss 2.3895 (2.2546) Prec@1 49.219 (48.313) Prec@5 69.922 (73.498)
Epoch: [82][4300/5005] Time 0.201 (0.209) Data 0.050 (0.048) Loss 1.9588 (2.2543) Prec@1 50.781 (48.316) Prec@5 80.078 (73.504)
Epoch: [82][4310/5005] Time 0.214 (0.209) Data 0.041 (0.048) Loss 2.3023 (2.2544) Prec@1 46.484 (48.313) Prec@5 71.875 (73.500)
Epoch: [82][4320/5005] Time 0.208 (0.209) Data 0.049 (0.048) Loss 2.1566 (2.2544) Prec@1 50.781 (48.313) Prec@5 75.781 (73.500)
Epoch: [82][4330/5005] Time 0.202 (0.209) Data 0.048 (0.048) Loss 2.1917 (2.2544) Prec@1 48.828 (48.311) Prec@5 74.609 (73.501)
Epoch: [82][4340/5005] Time 0.205 (0.209) Data 0.048 (0.048) Loss 2.3428 (2.2545) Prec@1 47.656 (48.307) Prec@5 72.266 (73.501)
Epoch: [82][4350/5005] Time 0.203 (0.209) Data 0.049 (0.048) Loss 2.3615 (2.2544) Prec@1 49.219 (48.310) Prec@5 69.531 (73.500)
Epoch: [82][4360/5005] Time 0.201 (0.209) Data 0.046 (0.048) Loss 2.0897 (2.2543) Prec@1 46.484 (48.312) Prec@5 74.609 (73.502)
Epoch: [82][4370/5005] Time 0.209 (0.209) Data 0.044 (0.048) Loss 2.1807 (2.2543) Prec@1 48.438 (48.312) Prec@5 73.828 (73.503)
Epoch: [82][4380/5005] Time 0.200 (0.209) Data 0.048 (0.048) Loss 2.2135 (2.2543) Prec@1 48.438 (48.311) Prec@5 75.000 (73.503)
Epoch: [82][4390/5005] Time 0.203 (0.209) Data 0.044 (0.048) Loss 2.3314 (2.2542) Prec@1 45.703 (48.315) Prec@5 71.484 (73.504)
Epoch: [82][4400/5005] Time 0.212 (0.209) Data 0.042 (0.048) Loss 2.1469 (2.2542) Prec@1 48.828 (48.317) Prec@5 75.391 (73.505)
Epoch: [82][4410/5005] Time 0.199 (0.209) Data 0.044 (0.048) Loss 2.1233 (2.2541) Prec@1 49.219 (48.319) Prec@5 74.219 (73.504)
Epoch: [82][4420/5005] Time 0.190 (0.209) Data 0.047 (0.048) Loss 2.0493 (2.2539) Prec@1 52.734 (48.320) Prec@5 76.562 (73.507)
Epoch: [82][4430/5005] Time 0.206 (0.209) Data 0.049 (0.048) Loss 2.2699 (2.2537) Prec@1 45.312 (48.322) Prec@5 71.484 (73.510)
Epoch: [82][4440/5005] Time 0.206 (0.209) Data 0.046 (0.048) Loss 2.3518 (2.2538) Prec@1 45.703 (48.323) Prec@5 71.484 (73.509)
Epoch: [82][4450/5005] Time 0.215 (0.209) Data 0.044 (0.048) Loss 2.1609 (2.2537) Prec@1 47.656 (48.322) Prec@5 75.781 (73.509)
Epoch: [82][4460/5005] Time 0.209 (0.209) Data 0.050 (0.048) Loss 2.2539 (2.2536) Prec@1 46.094 (48.324) Prec@5 76.172 (73.512)
Epoch: [82][4470/5005] Time 0.199 (0.209) Data 0.052 (0.048) Loss 2.1036 (2.2537) Prec@1 46.875 (48.324) Prec@5 78.906 (73.513)
Epoch: [82][4480/5005] Time 0.207 (0.209) Data 0.059 (0.048) Loss 2.0695 (2.2539) Prec@1 51.953 (48.319) Prec@5 75.781 (73.510)
Epoch: [82][4490/5005] Time 0.207 (0.209) Data 0.042 (0.048) Loss 2.3543 (2.2541) Prec@1 45.703 (48.317) Prec@5 73.438 (73.506)
Epoch: [82][4500/5005] Time 0.200 (0.209) Data 0.046 (0.048) Loss 2.1878 (2.2541) Prec@1 48.438 (48.318) Prec@5 77.734 (73.508)
Epoch: [82][4510/5005] Time 0.205 (0.209) Data 0.057 (0.048) Loss 2.0217 (2.2541) Prec@1 50.391 (48.317) Prec@5 80.859 (73.507)
Epoch: [82][4520/5005] Time 0.207 (0.209) Data 0.059 (0.048) Loss 2.2171 (2.2539) Prec@1 50.781 (48.321) Prec@5 71.875 (73.510)
Epoch: [82][4530/5005] Time 0.212 (0.209) Data 0.042 (0.048) Loss 2.1929 (2.2539) Prec@1 49.219 (48.321) Prec@5 77.734 (73.511)
Epoch: [82][4540/5005] Time 0.210 (0.209) Data 0.045 (0.048) Loss 2.3833 (2.2539) Prec@1 43.750 (48.320) Prec@5 73.438 (73.511)
Epoch: [82][4550/5005] Time 0.209 (0.209) Data 0.043 (0.048) Loss 2.2944 (2.2539) Prec@1 48.047 (48.320) Prec@5 69.922 (73.512)
Epoch: [82][4560/5005] Time 0.194 (0.209) Data 0.053 (0.048) Loss 2.2511 (2.2538) Prec@1 52.734 (48.324) Prec@5 74.609 (73.514)
Epoch: [82][4570/5005] Time 0.206 (0.209) Data 0.046 (0.048) Loss 2.3887 (2.2537) Prec@1 46.484 (48.325) Prec@5 70.312 (73.515)
Epoch: [82][4580/5005] Time 0.206 (0.209) Data 0.047 (0.048) Loss 2.3294 (2.2537) Prec@1 46.094 (48.325) Prec@5 73.828 (73.514)
Epoch: [82][4590/5005] Time 0.200 (0.209) Data 0.041 (0.048) Loss 2.2430 (2.2538) Prec@1 50.391 (48.325) Prec@5 76.953 (73.515)
Epoch: [82][4600/5005] Time 0.197 (0.209) Data 0.048 (0.048) Loss 1.9694 (2.2538) Prec@1 53.906 (48.328) Prec@5 78.906 (73.514)
Epoch: [82][4610/5005] Time 0.207 (0.209) Data 0.044 (0.048) Loss 2.0951 (2.2537) Prec@1 48.047 (48.329) Prec@5 75.391 (73.516)
Epoch: [82][4620/5005] Time 0.213 (0.209) Data 0.044 (0.048) Loss 2.0716 (2.2536) Prec@1 51.172 (48.329) Prec@5 77.344 (73.518)
Epoch: [82][4630/5005] Time 0.205 (0.209) Data 0.043 (0.048) Loss 2.0843 (2.2535) Prec@1 52.734 (48.331) Prec@5 77.344 (73.522)
Epoch: [82][4640/5005] Time 0.206 (0.209) Data 0.042 (0.048) Loss 2.3351 (2.2534) Prec@1 51.953 (48.331) Prec@5 73.828 (73.523)
Epoch: [82][4650/5005] Time 0.204 (0.209) Data 0.043 (0.048) Loss 2.2237 (2.2534) Prec@1 44.922 (48.329) Prec@5 73.047 (73.523)
Epoch: [82][4660/5005] Time 0.210 (0.209) Data 0.043 (0.048) Loss 2.4814 (2.2535) Prec@1 44.531 (48.329) Prec@5 65.234 (73.520)
Epoch: [82][4670/5005] Time 0.210 (0.209) Data 0.048 (0.048) Loss 2.0866 (2.2534) Prec@1 50.781 (48.331) Prec@5 76.953 (73.521)
Epoch: [82][4680/5005] Time 0.209 (0.209) Data 0.045 (0.048) Loss 2.1887 (2.2533) Prec@1 49.219 (48.333) Prec@5 76.172 (73.520)
Epoch: [82][4690/5005] Time 0.207 (0.209) Data 0.051 (0.048) Loss 2.0964 (2.2533) Prec@1 50.000 (48.330) Prec@5 77.344 (73.521)
Epoch: [82][4700/5005] Time 0.194 (0.209) Data 0.047 (0.048) Loss 2.0913 (2.2534) Prec@1 51.953 (48.331) Prec@5 76.953 (73.521)
Epoch: [82][4710/5005] Time 0.203 (0.209) Data 0.063 (0.048) Loss 2.0640 (2.2531) Prec@1 50.391 (48.333) Prec@5 75.781 (73.524)
Epoch: [82][4720/5005] Time 0.200 (0.209) Data 0.052 (0.048) Loss 2.1293 (2.2530) Prec@1 49.219 (48.335) Prec@5 78.516 (73.527)
Epoch: [82][4730/5005] Time 0.208 (0.209) Data 0.041 (0.048) Loss 2.2026 (2.2532) Prec@1 48.047 (48.332) Prec@5 72.656 (73.524)
Epoch: [82][4740/5005] Time 0.202 (0.209) Data 0.051 (0.048) Loss 2.0978 (2.2531) Prec@1 51.172 (48.334) Prec@5 77.344 (73.526)
Epoch: [82][4750/5005] Time 0.215 (0.209) Data 0.043 (0.048) Loss 2.1126 (2.2530) Prec@1 53.906 (48.336) Prec@5 77.344 (73.528)
Epoch: [82][4760/5005] Time 0.215 (0.209) Data 0.044 (0.048) Loss 2.4548 (2.2530) Prec@1 44.531 (48.336) Prec@5 71.094 (73.529)
Epoch: [82][4770/5005] Time 0.213 (0.209) Data 0.040 (0.048) Loss 2.2020 (2.2529) Prec@1 47.656 (48.336) Prec@5 75.391 (73.530)
Epoch: [82][4780/5005] Time 0.208 (0.209) Data 0.047 (0.048) Loss 2.2289 (2.2528) Prec@1 50.391 (48.339) Prec@5 75.000 (73.532)
Epoch: [82][4790/5005] Time 0.206 (0.209) Data 0.056 (0.048) Loss 2.5560 (2.2529) Prec@1 42.188 (48.340) Prec@5 72.266 (73.532)
Epoch: [82][4800/5005] Time 0.209 (0.209) Data 0.044 (0.048) Loss 2.2118 (2.2528) Prec@1 47.656 (48.340) Prec@5 74.219 (73.535)
Epoch: [82][4810/5005] Time 0.201 (0.209) Data 0.053 (0.048) Loss 2.4108 (2.2528) Prec@1 43.359 (48.338) Prec@5 72.266 (73.537)
Epoch: [82][4820/5005] Time 0.212 (0.209) Data 0.042 (0.048) Loss 2.4047 (2.2526) Prec@1 46.875 (48.340) Prec@5 71.094 (73.540)
Epoch: [82][4830/5005] Time 0.209 (0.209) Data 0.041 (0.048) Loss 2.2919 (2.2525) Prec@1 48.438 (48.344) Prec@5 69.922 (73.541)
Epoch: [82][4840/5005] Time 0.207 (0.209) Data 0.042 (0.048) Loss 2.0300 (2.2525) Prec@1 50.391 (48.344) Prec@5 76.562 (73.542)
Epoch: [82][4850/5005] Time 0.211 (0.209) Data 0.043 (0.048) Loss 2.2784 (2.2526) Prec@1 43.750 (48.340) Prec@5 70.312 (73.538)
Epoch: [82][4860/5005] Time 0.200 (0.209) Data 0.043 (0.048) Loss 2.2944 (2.2526) Prec@1 49.609 (48.341) Prec@5 73.047 (73.536)
Epoch: [82][4870/5005] Time 0.211 (0.209) Data 0.057 (0.048) Loss 2.0587 (2.2525) Prec@1 50.000 (48.341) Prec@5 73.828 (73.535)
Epoch: [82][4880/5005] Time 0.192 (0.209) Data 0.055 (0.048) Loss 2.0993 (2.2524) Prec@1 55.078 (48.344) Prec@5 75.000 (73.535)
Epoch: [82][4890/5005] Time 0.201 (0.209) Data 0.049 (0.048) Loss 2.2969 (2.2523) Prec@1 48.047 (48.345) Prec@5 72.266 (73.538)
Epoch: [82][4900/5005] Time 0.208 (0.209) Data 0.051 (0.048) Loss 2.1188 (2.2523) Prec@1 50.000 (48.345) Prec@5 75.781 (73.538)
Epoch: [82][4910/5005] Time 0.220 (0.209) Data 0.047 (0.048) Loss 2.1940 (2.2521) Prec@1 48.828 (48.349) Prec@5 76.172 (73.541)
Epoch: [82][4920/5005] Time 0.211 (0.209) Data 0.046 (0.048) Loss 2.0427 (2.2520) Prec@1 54.688 (48.350) Prec@5 76.562 (73.543)
Epoch: [82][4930/5005] Time 0.202 (0.208) Data 0.063 (0.048) Loss 2.3910 (2.2518) Prec@1 48.828 (48.355) Prec@5 70.312 (73.547)
Epoch: [82][4940/5005] Time 0.203 (0.208) Data 0.046 (0.048) Loss 2.2342 (2.2518) Prec@1 46.875 (48.355) Prec@5 71.875 (73.547)
Epoch: [82][4950/5005] Time 0.205 (0.208) Data 0.039 (0.048) Loss 2.0554 (2.2519) Prec@1 50.781 (48.353) Prec@5 75.000 (73.544)
Epoch: [82][4960/5005] Time 0.211 (0.208) Data 0.042 (0.048) Loss 2.4042 (2.2519) Prec@1 48.828 (48.355) Prec@5 72.656 (73.544)
Epoch: [82][4970/5005] Time 0.202 (0.208) Data 0.049 (0.048) Loss 2.3650 (2.2517) Prec@1 46.875 (48.358) Prec@5 69.922 (73.546)
Epoch: [82][4980/5005] Time 0.205 (0.208) Data 0.056 (0.048) Loss 2.1186 (2.2516) Prec@1 54.688 (48.359) Prec@5 76.562 (73.549)
Epoch: [82][4990/5005] Time 0.204 (0.208) Data 0.035 (0.048) Loss 2.2636 (2.2515) Prec@1 42.969 (48.361) Prec@5 72.656 (73.552)
Epoch: [82][5000/5005] Time 0.206 (0.208) Data 0.021 (0.048) Loss 2.2702 (2.2514) Prec@1 43.750 (48.360) Prec@5 72.266 (73.552)
Test: [0/196] Time 1.854 (1.854) Loss 2.4165 (2.4165) Prec@1 51.172 (51.172) Prec@5 70.312 (70.312)
Test: [10/196] Time 0.120 (0.302) Loss 2.4801 (2.5701) Prec@1 44.531 (43.821) Prec@5 69.141 (68.786)
Test: [20/196] Time 0.042 (0.225) Loss 2.4980 (2.5857) Prec@1 48.828 (43.359) Prec@5 72.266 (68.676)
Test: [30/196] Time 0.090 (0.200) Loss 2.4849 (2.5910) Prec@1 42.578 (42.944) Prec@5 70.312 (68.624)
Test: [40/196] Time 0.262 (0.210) Loss 2.3219 (2.5832) Prec@1 52.344 (43.369) Prec@5 72.266 (68.874)
Test: [50/196] Time 0.045 (0.195) Loss 2.5854 (2.5862) Prec@1 45.312 (43.359) Prec@5 73.438 (69.079)
Test: [60/196] Time 0.285 (0.189) Loss 2.5323 (2.5686) Prec@1 46.875 (43.872) Prec@5 71.875 (69.339)
Test: [70/196] Time 0.044 (0.197) Loss 2.5046 (2.5611) Prec@1 44.141 (44.003) Prec@5 70.312 (69.460)
Test: [80/196] Time 0.228 (0.184) Loss 2.4397 (2.5680) Prec@1 48.438 (43.996) Prec@5 74.609 (69.416)
Test: [90/196] Time 0.370 (0.186) Loss 2.7157 (2.5705) Prec@1 46.484 (44.046) Prec@5 66.406 (69.402)
Test: [100/196] Time 0.141 (0.182) Loss 2.6052 (2.5664) Prec@1 46.484 (44.226) Prec@5 67.969 (69.450)
Test: [110/196] Time 0.043 (0.184) Loss 2.7567 (2.5697) Prec@1 40.625 (44.176) Prec@5 65.625 (69.398)
Test: [120/196] Time 0.044 (0.181) Loss 2.4192 (2.5653) Prec@1 44.922 (44.263) Prec@5 73.047 (69.399)
Test: [130/196] Time 0.047 (0.181) Loss 2.2437 (2.5628) Prec@1 50.000 (44.334) Prec@5 72.656 (69.400)
Test: [140/196] Time 0.387 (0.183) Loss 2.4065 (2.5652) Prec@1 44.922 (44.251) Prec@5 69.531 (69.290)
Test: [150/196] Time 0.185 (0.182) Loss 2.2400 (2.5645) Prec@1 47.266 (44.267) Prec@5 75.391 (69.278)
Test: [160/196] Time 0.117 (0.180) Loss 2.5362 (2.5637) Prec@1 50.000 (44.276) Prec@5 69.922 (69.308)
Test: [170/196] Time 0.042 (0.179) Loss 2.5157 (2.5658) Prec@1 44.141 (44.234) Prec@5 69.922 (69.282)
Test: [180/196] Time 0.401 (0.181) Loss 2.7656 (2.5711) Prec@1 38.281 (44.151) Prec@5 64.844 (69.151)
Test: [190/196] Time 0.048 (0.179) Loss 2.7265 (2.5737) Prec@1 42.188 (44.094) Prec@5 65.234 (69.063)
* Prec@1 44.076 Prec@5 69.048
Learning rate: 1e-06
Epoch: [83][0/5005] Time 1.126 (1.126) Data 1.028 (1.028) Loss 2.1628 (2.1628) Prec@1 45.312 (45.312) Prec@5 77.344 (77.344)
Epoch: [83][10/5005] Time 0.200 (0.287) Data 0.043 (0.136) Loss 2.1733 (2.2618) Prec@1 53.516 (48.580) Prec@5 76.172 (74.077)
Epoch: [83][20/5005] Time 0.199 (0.247) Data 0.052 (0.093) Loss 2.4333 (2.2960) Prec@1 48.438 (47.303) Prec@5 76.172 (73.884)
Epoch: [83][30/5005] Time 0.198 (0.233) Data 0.065 (0.080) Loss 2.2308 (2.2599) Prec@1 48.047 (47.618) Prec@5 75.000 (74.244)
Epoch: [83][40/5005] Time 0.198 (0.225) Data 0.054 (0.072) Loss 2.1731 (2.2617) Prec@1 51.172 (47.752) Prec@5 71.875 (73.962)
Epoch: [83][50/5005] Time 0.219 (0.221) Data 0.044 (0.068) Loss 2.1275 (2.2647) Prec@1 49.609 (47.411) Prec@5 78.906 (73.797)
Epoch: [83][60/5005] Time 0.209 (0.218) Data 0.042 (0.065) Loss 2.1804 (2.2640) Prec@1 48.828 (47.599) Prec@5 75.781 (73.764)
Epoch: [83][70/5005] Time 0.202 (0.216) Data 0.044 (0.062) Loss 2.3202 (2.2779) Prec@1 47.656 (47.447) Prec@5 73.438 (73.465)
Epoch: [83][80/5005] Time 0.194 (0.214) Data 0.048 (0.061) Loss 2.1908 (2.2761) Prec@1 51.953 (47.541) Prec@5 73.047 (73.399)
Epoch: [83][90/5005] Time 0.193 (0.212) Data 0.045 (0.060) Loss 2.2881 (2.2732) Prec@1 48.828 (47.832) Prec@5 75.000 (73.450)
Epoch: [83][100/5005] Time 0.199 (0.211) Data 0.045 (0.059) Loss 2.0073 (2.2698) Prec@1 49.219 (47.838) Prec@5 76.953 (73.414)
Epoch: [83][110/5005] Time 0.202 (0.210) Data 0.041 (0.057) Loss 2.3228 (2.2711) Prec@1 52.344 (47.913) Prec@5 72.266 (73.353)
Epoch: [83][120/5005] Time 0.212 (0.210) Data 0.042 (0.056) Loss 2.3116 (2.2742) Prec@1 45.312 (47.898) Prec@5 75.000 (73.276)
Epoch: [83][130/5005] Time 0.203 (0.209) Data 0.046 (0.055) Loss 2.4676 (2.2754) Prec@1 48.828 (47.954) Prec@5 70.312 (73.253)
Epoch: [83][140/5005] Time 0.198 (0.209) Data 0.043 (0.055) Loss 2.2708 (2.2737) Prec@1 47.656 (47.895) Prec@5 72.656 (73.282)
Epoch: [83][150/5005] Time 0.210 (0.209) Data 0.042 (0.054) Loss 2.4553 (2.2739) Prec@1 44.922 (47.858) Prec@5 70.312 (73.308)
Epoch: [83][160/5005] Time 0.214 (0.209) Data 0.041 (0.053) Loss 2.2615 (2.2758) Prec@1 46.094 (47.765) Prec@5 73.047 (73.282)
Epoch: [83][170/5005] Time 0.221 (0.209) Data 0.044 (0.053) Loss 2.3260 (2.2752) Prec@1 48.047 (47.759) Prec@5 74.219 (73.339)
Epoch: [83][180/5005] Time 0.220 (0.209) Data 0.043 (0.052) Loss 2.4446 (2.2764) Prec@1 46.875 (47.719) Prec@5 69.922 (73.323)
Epoch: [83][190/5005] Time 0.220 (0.210) Data 0.043 (0.052) Loss 2.4464 (2.2801) Prec@1 49.609 (47.699) Prec@5 70.312 (73.233)
Epoch: [83][200/5005] Time 0.215 (0.210) Data 0.054 (0.052) Loss 2.6357 (2.2822) Prec@1 39.062 (47.617) Prec@5 67.188 (73.160)
Epoch: [83][210/5005] Time 0.215 (0.211) Data 0.052 (0.052) Loss 2.1476 (2.2814) Prec@1 49.609 (47.643) Prec@5 77.344 (73.169)
Epoch: [83][220/5005] Time 0.216 (0.211) Data 0.050 (0.052) Loss 2.3203 (2.2804) Prec@1 43.750 (47.649) Prec@5 74.609 (73.187)
Epoch: [83][230/5005] Time 0.224 (0.212) Data 0.044 (0.051) Loss 2.3323 (2.2784) Prec@1 47.656 (47.721) Prec@5 71.094 (73.192)
Epoch: [83][240/5005] Time 0.223 (0.212) Data 0.048 (0.051) Loss 2.2177 (2.2772) Prec@1 50.000 (47.685) Prec@5 73.438 (73.201)
Epoch: [83][250/5005] Time 0.215 (0.212) Data 0.045 (0.051) Loss 2.4726 (2.2764) Prec@1 46.875 (47.706) Prec@5 69.141 (73.235)
Epoch: [83][260/5005] Time 0.208 (0.212) Data 0.052 (0.051) Loss 2.0880 (2.2770) Prec@1 50.000 (47.703) Prec@5 74.219 (73.229)
Epoch: [83][270/5005] Time 0.218 (0.213) Data 0.046 (0.051) Loss 2.3809 (2.2775) Prec@1 48.047 (47.678) Prec@5 71.094 (73.231)
Epoch: [83][280/5005] Time 0.219 (0.213) Data 0.044 (0.051) Loss 2.5568 (2.2794) Prec@1 44.531 (47.677) Prec@5 71.094 (73.207)
Epoch: [83][290/5005] Time 0.206 (0.213) Data 0.051 (0.051) Loss 2.1036 (2.2804) Prec@1 52.344 (47.651) Prec@5 77.344 (73.188)
Epoch: [83][300/5005] Time 0.216 (0.213) Data 0.053 (0.051) Loss 2.0826 (2.2786) Prec@1 48.438 (47.669) Prec@5 74.219 (73.219)
Epoch: [83][310/5005] Time 0.212 (0.213) Data 0.052 (0.051) Loss 2.2057 (2.2767) Prec@1 49.609 (47.709) Prec@5 76.172 (73.259)
Epoch: [83][320/5005] Time 0.216 (0.213) Data 0.050 (0.051) Loss 2.4546 (2.2779) Prec@1 41.797 (47.733) Prec@5 71.094 (73.244)
Epoch: [83][330/5005] Time 0.215 (0.213) Data 0.043 (0.051) Loss 2.1371 (2.2759) Prec@1 48.047 (47.748) Prec@5 76.953 (73.292)
Epoch: [83][340/5005] Time 0.217 (0.213) Data 0.054 (0.050) Loss 2.3182 (2.2797) Prec@1 46.875 (47.707) Prec@5 73.047 (73.232)
Epoch: [83][350/5005] Time 0.216 (0.213) Data 0.044 (0.050) Loss 2.5130 (2.2797) Prec@1 43.750 (47.716) Prec@5 67.969 (73.202)
Epoch: [83][360/5005] Time 0.218 (0.213) Data 0.044 (0.050) Loss 2.4057 (2.2799) Prec@1 44.922 (47.710) Prec@5 70.312 (73.178)
Epoch: [83][370/5005] Time 0.220 (0.213) Data 0.044 (0.050) Loss 2.2799 (2.2787) Prec@1 46.094 (47.738) Prec@5 73.828 (73.216)
Epoch: [83][380/5005] Time 0.213 (0.213) Data 0.041 (0.050) Loss 2.4441 (2.2800) Prec@1 43.750 (47.687) Prec@5 71.094 (73.199)
Epoch: [83][390/5005] Time 0.207 (0.214) Data 0.058 (0.050) Loss 2.1978 (2.2804) Prec@1 50.781 (47.683) Prec@5 75.000 (73.184)
Epoch: [83][400/5005] Time 0.212 (0.214) Data 0.050 (0.050) Loss 2.1353 (2.2794) Prec@1 51.953 (47.692) Prec@5 75.391 (73.215)
Epoch: [83][410/5005] Time 0.219 (0.214) Data 0.046 (0.050) Loss 2.0626 (2.2780) Prec@1 53.125 (47.725) Prec@5 76.172 (73.234)
Epoch: [83][420/5005] Time 0.218 (0.214) Data 0.042 (0.050) Loss 2.2669 (2.2775) Prec@1 50.781 (47.746) Prec@5 73.828 (73.252)
Epoch: [83][430/5005] Time 0.217 (0.214) Data 0.043 (0.050) Loss 2.2616 (2.2776) Prec@1 48.438 (47.753) Prec@5 72.656 (73.240)
Epoch: [83][440/5005] Time 0.210 (0.214) Data 0.039 (0.049) Loss 2.1276 (2.2769) Prec@1 51.562 (47.751) Prec@5 76.172 (73.245)
Epoch: [83][450/5005] Time 0.214 (0.214) Data 0.043 (0.049) Loss 2.1357 (2.2769) Prec@1 51.172 (47.741) Prec@5 74.219 (73.237)
Epoch: [83][460/5005] Time 0.213 (0.214) Data 0.043 (0.049) Loss 2.3273 (2.2770) Prec@1 43.750 (47.719) Prec@5 73.047 (73.232)
Epoch: [83][470/5005] Time 0.204 (0.214) Data 0.046 (0.049) Loss 2.1889 (2.2778) Prec@1 42.188 (47.713) Prec@5 73.828 (73.204)
Epoch: [83][480/5005] Time 0.205 (0.214) Data 0.048 (0.049) Loss 2.2387 (2.2775) Prec@1 47.656 (47.716) Prec@5 72.656 (73.204)
Epoch: [83][490/5005] Time 0.213 (0.214) Data 0.044 (0.049) Loss 2.0341 (2.2769) Prec@1 55.859 (47.745) Prec@5 78.125 (73.221)
Epoch: [83][500/5005] Time 0.207 (0.214) Data 0.043 (0.049) Loss 2.4510 (2.2790) Prec@1 45.312 (47.737) Prec@5 73.438 (73.186)
Epoch: [83][510/5005] Time 0.204 (0.214) Data 0.043 (0.049) Loss 2.4729 (2.2787) Prec@1 42.578 (47.765) Prec@5 70.703 (73.187)
Epoch: [83][520/5005] Time 0.208 (0.214) Data 0.053 (0.049) Loss 2.2403 (2.2783) Prec@1 46.875 (47.748) Prec@5 74.219 (73.180)
Epoch: [83][530/5005] Time 0.208 (0.214) Data 0.058 (0.049) Loss 2.2236 (2.2785) Prec@1 48.828 (47.756) Prec@5 72.266 (73.187)
Epoch: [83][540/5005] Time 0.205 (0.214) Data 0.052 (0.049) Loss 2.4878 (2.2793) Prec@1 45.312 (47.744) Prec@5 71.484 (73.168)
Epoch: [83][550/5005] Time 0.217 (0.214) Data 0.044 (0.049) Loss 2.2248 (2.2789) Prec@1 45.312 (47.749) Prec@5 73.047 (73.171)
Epoch: [83][560/5005] Time 0.219 (0.214) Data 0.044 (0.049) Loss 2.3333 (2.2781) Prec@1 49.219 (47.763) Prec@5 75.781 (73.184)
Epoch: [83][570/5005] Time 0.224 (0.214) Data 0.042 (0.049) Loss 2.4016 (2.2789) Prec@1 48.438 (47.747) Prec@5 69.922 (73.166)
Epoch: [83][580/5005] Time 0.213 (0.214) Data 0.060 (0.049) Loss 2.4004 (2.2783) Prec@1 46.875 (47.758) Prec@5 71.094 (73.167)
Epoch: [83][590/5005] Time 0.209 (0.214) Data 0.041 (0.049) Loss 2.3814 (2.2786) Prec@1 44.141 (47.763) Prec@5 69.922 (73.135)
Epoch: [83][600/5005] Time 0.220 (0.214) Data 0.049 (0.049) Loss 2.2608 (2.2795) Prec@1 47.656 (47.740) Prec@5 74.609 (73.128)
Epoch: [83][610/5005] Time 0.219 (0.214) Data 0.044 (0.049) Loss 2.2955 (2.2794) Prec@1 45.312 (47.733) Prec@5 73.047 (73.137)
Epoch: [83][620/5005] Time 0.214 (0.214) Data 0.043 (0.049) Loss 2.3682 (2.2795) Prec@1 51.172 (47.755) Prec@5 71.875 (73.132)
Epoch: [83][630/5005] Time 0.216 (0.214) Data 0.043 (0.049) Loss 2.4597 (2.2793) Prec@1 44.141 (47.763) Prec@5 69.531 (73.135)
Epoch: [83][640/5005] Time 0.214 (0.214) Data 0.044 (0.049) Loss 2.1075 (2.2788) Prec@1 50.391 (47.773) Prec@5 76.953 (73.138)
Epoch: [83][650/5005] Time 0.217 (0.214) Data 0.042 (0.049) Loss 2.4056 (2.2794) Prec@1 43.750 (47.764) Prec@5 71.875 (73.115)
Epoch: [83][660/5005] Time 0.218 (0.214) Data 0.043 (0.049) Loss 2.4250 (2.2788) Prec@1 44.922 (47.764) Prec@5 71.875 (73.130)
Epoch: [83][670/5005] Time 0.214 (0.214) Data 0.044 (0.049) Loss 2.6093 (2.2792) Prec@1 45.703 (47.770) Prec@5 69.141 (73.111)
Epoch: [83][680/5005] Time 0.217 (0.214) Data 0.046 (0.048) Loss 2.3084 (2.2790) Prec@1 44.922 (47.764) Prec@5 73.047 (73.115)
Epoch: [83][690/5005] Time 0.214 (0.214) Data 0.045 (0.048) Loss 2.2014 (2.2781) Prec@1 48.438 (47.777) Prec@5 75.391 (73.137)
Epoch: [83][700/5005] Time 0.216 (0.214) Data 0.044 (0.048) Loss 2.2784 (2.2773) Prec@1 50.391 (47.802) Prec@5 73.047 (73.149)
Epoch: [83][710/5005] Time 0.216 (0.214) Data 0.043 (0.048) Loss 2.0554 (2.2773) Prec@1 51.953 (47.808) Prec@5 74.609 (73.146)
Epoch: [83][720/5005] Time 0.217 (0.214) Data 0.043 (0.048) Loss 2.1789 (2.2762) Prec@1 48.438 (47.816) Prec@5 72.266 (73.151)
Epoch: [83][730/5005] Time 0.220 (0.214) Data 0.043 (0.048) Loss 2.3800 (2.2764) Prec@1 47.266 (47.814) Prec@5 73.828 (73.157)
Epoch: [83][740/5005] Time 0.211 (0.214) Data 0.046 (0.048) Loss 2.3428 (2.2759) Prec@1 46.094 (47.842) Prec@5 71.484 (73.158)
Epoch: [83][750/5005] Time 0.219 (0.214) Data 0.042 (0.048) Loss 2.1640 (2.2756) Prec@1 47.266 (47.841) Prec@5 75.000 (73.155)
Epoch: [83][760/5005] Time 0.216 (0.214) Data 0.043 (0.048) Loss 2.3859 (2.2758) Prec@1 44.531 (47.831) Prec@5 71.094 (73.155)
Epoch: [83][770/5005] Time 0.209 (0.214) Data 0.040 (0.048) Loss 2.1412 (2.2747) Prec@1 51.562 (47.853) Prec@5 76.562 (73.174)
Epoch: [83][780/5005] Time 0.217 (0.214) Data 0.045 (0.048) Loss 2.3852 (2.2748) Prec@1 45.312 (47.848) Prec@5 68.750 (73.163)
Epoch: [83][790/5005] Time 0.212 (0.214) Data 0.047 (0.048) Loss 2.3350 (2.2743) Prec@1 45.703 (47.874) Prec@5 72.656 (73.171)
Epoch: [83][800/5005] Time 0.213 (0.214) Data 0.046 (0.048) Loss 2.0827 (2.2733) Prec@1 48.828 (47.897) Prec@5 76.562 (73.190)
Epoch: [83][810/5005] Time 0.219 (0.214) Data 0.046 (0.048) Loss 2.3212 (2.2736) Prec@1 49.609 (47.906) Prec@5 71.875 (73.186)
Epoch: [83][820/5005] Time 0.214 (0.214) Data 0.046 (0.048) Loss 2.4674 (2.2738) Prec@1 44.141 (47.908) Prec@5 67.969 (73.190)
Epoch: [83][830/5005] Time 0.220 (0.214) Data 0.045 (0.048) Loss 2.2348 (2.2736) Prec@1 44.922 (47.904) Prec@5 75.781 (73.189)
Epoch: [83][840/5005] Time 0.209 (0.214) Data 0.041 (0.048) Loss 2.1684 (2.2736) Prec@1 49.219 (47.908) Prec@5 73.047 (73.191)
Epoch: [83][850/5005] Time 0.209 (0.214) Data 0.044 (0.048) Loss 2.4723 (2.2728) Prec@1 46.094 (47.916) Prec@5 71.094 (73.204)
Epoch: [83][860/5005] Time 0.211 (0.214) Data 0.042 (0.048) Loss 2.2644 (2.2729) Prec@1 41.797 (47.915) Prec@5 75.781 (73.206)
Epoch: [83][870/5005] Time 0.218 (0.214) Data 0.046 (0.048) Loss 2.2909 (2.2719) Prec@1 42.578 (47.934) Prec@5 74.219 (73.228)
Epoch: [83][880/5005] Time 0.213 (0.214) Data 0.043 (0.048) Loss 2.1554 (2.2722) Prec@1 48.047 (47.929) Prec@5 73.828 (73.221)
Epoch: [83][890/5005] Time 0.213 (0.214) Data 0.040 (0.048) Loss 2.5069 (2.2717) Prec@1 42.969 (47.931) Prec@5 67.188 (73.226)
Epoch: [83][900/5005] Time 0.206 (0.214) Data 0.042 (0.048) Loss 2.1522 (2.2713) Prec@1 48.438 (47.937) Prec@5 75.781 (73.229)
Epoch: [83][910/5005] Time 0.207 (0.214) Data 0.042 (0.048) Loss 2.1308 (2.2715) Prec@1 48.047 (47.923) Prec@5 78.906 (73.227)
Epoch: [83][920/5005] Time 0.212 (0.214) Data 0.042 (0.048) Loss 2.2545 (2.2709) Prec@1 46.484 (47.936) Prec@5 73.438 (73.234)
Epoch: [83][930/5005] Time 0.216 (0.214) Data 0.044 (0.048) Loss 2.2435 (2.2702) Prec@1 48.438 (47.949) Prec@5 71.484 (73.242)
Epoch: [83][940/5005] Time 0.203 (0.214) Data 0.052 (0.048) Loss 2.1629 (2.2704) Prec@1 50.000 (47.941) Prec@5 73.828 (73.243)
Epoch: [83][950/5005] Time 0.198 (0.214) Data 0.043 (0.048) Loss 2.4319 (2.2711) Prec@1 46.484 (47.950) Prec@5 70.703 (73.231)
Epoch: [83][960/5005] Time 0.216 (0.214) Data 0.044 (0.047) Loss 2.5003 (2.2714) Prec@1 45.312 (47.949) Prec@5 68.750 (73.231)
Epoch: [83][970/5005] Time 0.211 (0.214) Data 0.042 (0.047) Loss 2.0096 (2.2711) Prec@1 50.781 (47.952) Prec@5 78.906 (73.236)
Epoch: [83][980/5005] Time 0.214 (0.214) Data 0.043 (0.047) Loss 2.3266 (2.2707) Prec@1 48.438 (47.953) Prec@5 69.922 (73.237)
Epoch: [83][990/5005] Time 0.214 (0.214) Data 0.043 (0.047) Loss 2.2621 (2.2709) Prec@1 46.094 (47.939) Prec@5 77.344 (73.238)
Epoch: [83][1000/5005] Time 0.212 (0.214) Data 0.043 (0.047) Loss 2.2129 (2.2709) Prec@1 53.906 (47.955) Prec@5 75.781 (73.233)
Epoch: [83][1010/5005] Time 0.200 (0.214) Data 0.056 (0.047) Loss 2.3068 (2.2703) Prec@1 45.312 (47.963) Prec@5 72.656 (73.245)
Epoch: [83][1020/5005] Time 0.205 (0.214) Data 0.042 (0.047) Loss 2.1678 (2.2705) Prec@1 50.000 (47.957) Prec@5 74.219 (73.232)
Epoch: [83][1030/5005] Time 0.204 (0.214) Data 0.060 (0.047) Loss 2.1373 (2.2704) Prec@1 48.438 (47.962) Prec@5 75.781 (73.238)
Epoch: [83][1040/5005] Time 0.199 (0.214) Data 0.055 (0.047) Loss 2.3441 (2.2705) Prec@1 43.750 (47.958) Prec@5 73.438 (73.234)
Epoch: [83][1050/5005] Time 0.201 (0.214) Data 0.044 (0.047) Loss 2.4817 (2.2707) Prec@1 41.016 (47.943) Prec@5 71.094 (73.235)
Epoch: [83][1060/5005] Time 0.212 (0.214) Data 0.041 (0.047) Loss 2.3668 (2.2711) Prec@1 45.312 (47.926) Prec@5 72.656 (73.232)
Epoch: [83][1070/5005] Time 0.209 (0.213) Data 0.047 (0.048) Loss 2.2753 (2.2714) Prec@1 48.438 (47.913) Prec@5 72.656 (73.229)
Epoch: [83][1080/5005] Time 0.202 (0.213) Data 0.047 (0.048) Loss 2.3877 (2.2718) Prec@1 43.750 (47.906) Prec@5 71.094 (73.222)
Epoch: [83][1090/5005] Time 0.216 (0.213) Data 0.047 (0.048) Loss 2.1463 (2.2715) Prec@1 48.828 (47.907) Prec@5 75.000 (73.225)
Epoch: [83][1100/5005] Time 0.221 (0.213) Data 0.042 (0.048) Loss 2.2246 (2.2713) Prec@1 48.047 (47.901) Prec@5 73.047 (73.227)
Epoch: [83][1110/5005] Time 0.200 (0.213) Data 0.045 (0.048) Loss 2.2672 (2.2713) Prec@1 49.609 (47.903) Prec@5 73.438 (73.227)
Epoch: [83][1120/5005] Time 0.210 (0.213) Data 0.044 (0.048) Loss 2.0870 (2.2705) Prec@1 47.656 (47.916) Prec@5 75.391 (73.237)
Epoch: [83][1130/5005] Time 0.197 (0.213) Data 0.053 (0.047) Loss 2.3999 (2.2709) Prec@1 48.047 (47.907) Prec@5 71.875 (73.227)
Epoch: [83][1140/5005] Time 0.212 (0.213) Data 0.043 (0.047) Loss 2.2608 (2.2708) Prec@1 48.047 (47.911) Prec@5 75.000 (73.230)
Epoch: [83][1150/5005] Time 0.213 (0.213) Data 0.044 (0.047) Loss 2.2759 (2.2703) Prec@1 45.312 (47.921) Prec@5 73.438 (73.229)
Epoch: [83][1160/5005] Time 0.207 (0.213) Data 0.046 (0.047) Loss 2.2879 (2.2703) Prec@1 47.266 (47.915) Prec@5 71.094 (73.224)
Epoch: [83][1170/5005] Time 0.213 (0.213) Data 0.043 (0.047) Loss 2.2206 (2.2702) Prec@1 50.781 (47.923) Prec@5 75.000 (73.224)
Epoch: [83][1180/5005] Time 0.219 (0.213) Data 0.044 (0.047) Loss 2.2916 (2.2700) Prec@1 48.828 (47.913) Prec@5 72.656 (73.223)
Epoch: [83][1190/5005] Time 0.211 (0.213) Data 0.044 (0.047) Loss 2.1198 (2.2694) Prec@1 48.047 (47.920) Prec@5 73.828 (73.231)
Epoch: [83][1200/5005] Time 0.211 (0.213) Data 0.046 (0.047) Loss 2.4293 (2.2695) Prec@1 42.578 (47.915) Prec@5 70.312 (73.225)
Epoch: [83][1210/5005] Time 0.211 (0.213) Data 0.043 (0.047) Loss 2.2555 (2.2698) Prec@1 49.219 (47.918) Prec@5 73.828 (73.221)
Epoch: [83][1220/5005] Time 0.204 (0.213) Data 0.044 (0.047) Loss 2.2763 (2.2700) Prec@1 46.484 (47.915) Prec@5 73.047 (73.221)
Epoch: [83][1230/5005] Time 0.221 (0.213) Data 0.044 (0.047) Loss 2.1669 (2.2699) Prec@1 48.047 (47.907) Prec@5 76.562 (73.221)
Epoch: [83][1240/5005] Time 0.201 (0.213) Data 0.051 (0.047) Loss 2.2573 (2.2699) Prec@1 46.484 (47.901) Prec@5 72.656 (73.218)
Epoch: [83][1250/5005] Time 0.212 (0.213) Data 0.043 (0.047) Loss 2.5439 (2.2705) Prec@1 42.188 (47.897) Prec@5 69.141 (73.208)
Epoch: [83][1260/5005] Time 0.212 (0.213) Data 0.046 (0.047) Loss 2.0354 (2.2699) Prec@1 51.562 (47.912) Prec@5 76.562 (73.217)
Epoch: [83][1270/5005] Time 0.207 (0.213) Data 0.041 (0.047) Loss 2.4423 (2.2704) Prec@1 46.484 (47.905) Prec@5 69.141 (73.203)
Epoch: [83][1280/5005] Time 0.217 (0.213) Data 0.050 (0.047) Loss 2.3730 (2.2707) Prec@1 46.875 (47.899) Prec@5 69.531 (73.196)
Epoch: [83][1290/5005] Time 0.207 (0.213) Data 0.041 (0.047) Loss 1.9701 (2.2706) Prec@1 54.688 (47.897) Prec@5 75.000 (73.196)
Epoch: [83][1300/5005] Time 0.196 (0.213) Data 0.059 (0.047) Loss 2.1128 (2.2704) Prec@1 47.266 (47.895) Prec@5 76.953 (73.200)
Epoch: [83][1310/5005] Time 0.216 (0.213) Data 0.046 (0.047) Loss 2.1352 (2.2700) Prec@1 49.609 (47.893) Prec@5 78.125 (73.211)
Epoch: [83][1320/5005] Time 0.214 (0.213) Data 0.049 (0.047) Loss 2.4497 (2.2701) Prec@1 45.703 (47.895) Prec@5 70.312 (73.208)
Epoch: [83][1330/5005] Time 0.206 (0.213) Data 0.045 (0.047) Loss 2.3682 (2.2704) Prec@1 45.312 (47.896) Prec@5 72.656 (73.206)
Epoch: [83][1340/5005] Time 0.217 (0.213) Data 0.041 (0.047) Loss 2.3262 (2.2703) Prec@1 48.047 (47.900) Prec@5 72.656 (73.212)
Epoch: [83][1350/5005] Time 0.217 (0.213) Data 0.043 (0.047) Loss 2.6002 (2.2705) Prec@1 42.188 (47.886) Prec@5 69.531 (73.210)
Epoch: [83][1360/5005] Time 0.207 (0.213) Data 0.053 (0.047) Loss 2.0749 (2.2702) Prec@1 51.953 (47.900) Prec@5 76.562 (73.213)
Epoch: [83][1370/5005] Time 0.210 (0.213) Data 0.047 (0.047) Loss 2.2343 (2.2697) Prec@1 47.656 (47.902) Prec@5 73.828 (73.217)
Epoch: [83][1380/5005] Time 0.216 (0.213) Data 0.047 (0.047) Loss 2.1746 (2.2695) Prec@1 51.172 (47.912) Prec@5 78.516 (73.224)
Epoch: [83][1390/5005] Time 0.207 (0.213) Data 0.046 (0.047) Loss 2.0254 (2.2691) Prec@1 56.250 (47.931) Prec@5 78.125 (73.226)
Epoch: [83][1400/5005] Time 0.204 (0.213) Data 0.048 (0.047) Loss 2.2297 (2.2684) Prec@1 49.219 (47.949) Prec@5 74.219 (73.237)
Epoch: [83][1410/5005] Time 0.208 (0.213) Data 0.046 (0.047) Loss 2.2595 (2.2682) Prec@1 48.438 (47.952) Prec@5 72.266 (73.235)
Epoch: [83][1420/5005] Time 0.216 (0.213) Data 0.047 (0.047) Loss 2.4804 (2.2682) Prec@1 46.484 (47.952) Prec@5 68.359 (73.233)
Epoch: [83][1430/5005] Time 0.214 (0.213) Data 0.041 (0.047) Loss 2.0139 (2.2680) Prec@1 51.562 (47.965) Prec@5 78.516 (73.235)
Epoch: [83][1440/5005] Time 0.208 (0.213) Data 0.046 (0.047) Loss 2.0394 (2.2678) Prec@1 55.078 (47.970) Prec@5 80.078 (73.236)
Epoch: [83][1450/5005] Time 0.193 (0.213) Data 0.047 (0.047) Loss 2.2730 (2.2677) Prec@1 52.344 (47.972) Prec@5 70.312 (73.239)
Epoch: [83][1460/5005] Time 0.208 (0.213) Data 0.045 (0.047) Loss 2.2716 (2.2674) Prec@1 44.141 (47.979) Prec@5 71.484 (73.244)
Epoch: [83][1470/5005] Time 0.223 (0.212) Data 0.042 (0.047) Loss 2.4012 (2.2677) Prec@1 48.828 (47.980) Prec@5 70.703 (73.236)
Epoch: [83][1480/5005] Time 0.196 (0.212) Data 0.062 (0.047) Loss 2.1478 (2.2680) Prec@1 48.047 (47.970) Prec@5 76.172 (73.234)
Epoch: [83][1490/5005] Time 0.212 (0.212) Data 0.048 (0.047) Loss 2.5233 (2.2678) Prec@1 44.531 (47.971) Prec@5 71.484 (73.242)
Epoch: [83][1500/5005] Time 0.206 (0.212) Data 0.044 (0.047) Loss 2.0844 (2.2674) Prec@1 51.172 (47.981) Prec@5 76.953 (73.249)
Epoch: [83][1510/5005] Time 0.208 (0.212) Data 0.048 (0.047) Loss 2.2460 (2.2672) Prec@1 48.438 (47.991) Prec@5 72.656 (73.248)
Epoch: [83][1520/5005] Time 0.202 (0.212) Data 0.043 (0.047) Loss 2.3212 (2.2669) Prec@1 46.094 (48.000) Prec@5 72.656 (73.251)
Epoch: [83][1530/5005] Time 0.215 (0.212) Data 0.042 (0.047) Loss 2.3611 (2.2671) Prec@1 49.219 (47.997) Prec@5 73.438 (73.247)
Epoch: [83][1540/5005] Time 0.210 (0.212) Data 0.042 (0.047) Loss 2.3247 (2.2671) Prec@1 47.656 (48.000) Prec@5 69.922 (73.249)
Epoch: [83][1550/5005] Time 0.215 (0.212) Data 0.040 (0.047) Loss 2.1877 (2.2668) Prec@1 52.344 (48.011) Prec@5 76.172 (73.253)
Epoch: [83][1560/5005] Time 0.207 (0.212) Data 0.053 (0.047) Loss 2.1610 (2.2670) Prec@1 48.438 (48.013) Prec@5 71.875 (73.259)
Epoch: [83][1570/5005] Time 0.205 (0.212) Data 0.047 (0.047) Loss 2.1629 (2.2668) Prec@1 49.219 (48.020) Prec@5 75.000 (73.259)
Epoch: [83][1580/5005] Time 0.207 (0.212) Data 0.046 (0.047) Loss 2.1355 (2.2670) Prec@1 46.484 (48.012) Prec@5 75.781 (73.255)
Epoch: [83][1590/5005] Time 0.219 (0.212) Data 0.047 (0.047) Loss 2.2272 (2.2670) Prec@1 51.172 (48.011) Prec@5 74.609 (73.260)
Epoch: [83][1600/5005] Time 0.206 (0.212) Data 0.052 (0.047) Loss 2.3408 (2.2671) Prec@1 46.484 (48.009) Prec@5 72.266 (73.255)
Epoch: [83][1610/5005] Time 0.214 (0.212) Data 0.045 (0.047) Loss 2.2879 (2.2670) Prec@1 46.094 (48.011) Prec@5 72.266 (73.260)
Epoch: [83][1620/5005] Time 0.199 (0.212) Data 0.050 (0.047) Loss 2.5205 (2.2670) Prec@1 43.750 (48.010) Prec@5 67.578 (73.257)
Epoch: [83][1630/5005] Time 0.216 (0.212) Data 0.047 (0.047) Loss 2.0752 (2.2669) Prec@1 50.391 (48.010) Prec@5 76.562 (73.256)
Epoch: [83][1640/5005] Time 0.204 (0.212) Data 0.043 (0.047) Loss 2.3363 (2.2673) Prec@1 49.219 (48.008) Prec@5 73.438 (73.255)
Epoch: [83][1650/5005] Time 0.209 (0.212) Data 0.041 (0.047) Loss 2.3811 (2.2672) Prec@1 47.656 (48.017) Prec@5 69.141 (73.256)
Epoch: [83][1660/5005] Time 0.208 (0.212) Data 0.051 (0.047) Loss 2.1196 (2.2667) Prec@1 51.172 (48.036) Prec@5 75.781 (73.267)
Epoch: [83][1670/5005] Time 0.200 (0.212) Data 0.049 (0.047) Loss 1.9984 (2.2668) Prec@1 48.047 (48.031) Prec@5 76.172 (73.265)
Epoch: [83][1680/5005] Time 0.215 (0.212) Data 0.044 (0.047) Loss 2.3198 (2.2672) Prec@1 49.219 (48.029) Prec@5 71.484 (73.257)
Epoch: [83][1690/5005] Time 0.208 (0.212) Data 0.045 (0.047) Loss 2.1556 (2.2670) Prec@1 50.000 (48.033) Prec@5 74.609 (73.258)
Epoch: [83][1700/5005] Time 0.206 (0.212) Data 0.047 (0.047) Loss 2.1149 (2.2664) Prec@1 48.438 (48.035) Prec@5 77.734 (73.268)
Epoch: [83][1710/5005] Time 0.210 (0.212) Data 0.045 (0.047) Loss 2.2001 (2.2660) Prec@1 46.484 (48.042) Prec@5 75.391 (73.277)
Epoch: [83][1720/5005] Time 0.210 (0.212) Data 0.047 (0.047) Loss 2.2753 (2.2660) Prec@1 48.828 (48.038) Prec@5 76.172 (73.276)
Epoch: [83][1730/5005] Time 0.212 (0.212) Data 0.050 (0.047) Loss 2.1696 (2.2658) Prec@1 48.047 (48.043) Prec@5 73.047 (73.278)
Epoch: [83][1740/5005] Time 0.202 (0.212) Data 0.052 (0.047) Loss 2.3289 (2.2658) Prec@1 43.750 (48.042) Prec@5 72.266 (73.282)
Epoch: [83][1750/5005] Time 0.207 (0.212) Data 0.043 (0.047) Loss 2.2393 (2.2655) Prec@1 46.484 (48.044) Prec@5 72.266 (73.288)
Epoch: [83][1760/5005] Time 0.207 (0.212) Data 0.040 (0.047) Loss 2.0480 (2.2655) Prec@1 52.344 (48.044) Prec@5 77.344 (73.293)
Epoch: [83][1770/5005] Time 0.212 (0.212) Data 0.043 (0.047) Loss 2.2557 (2.2651) Prec@1 45.703 (48.055) Prec@5 71.484 (73.300)
Epoch: [83][1780/5005] Time 0.205 (0.212) Data 0.046 (0.047) Loss 2.0744 (2.2649) Prec@1 51.562 (48.055) Prec@5 75.000 (73.300)
Epoch: [83][1790/5005] Time 0.194 (0.212) Data 0.044 (0.047) Loss 2.0625 (2.2646) Prec@1 50.781 (48.054) Prec@5 75.000 (73.303)
Epoch: [83][1800/5005] Time 0.212 (0.212) Data 0.041 (0.047) Loss 2.1370 (2.2642) Prec@1 51.172 (48.063) Prec@5 75.781 (73.311)
Epoch: [83][1810/5005] Time 0.202 (0.212) Data 0.058 (0.047) Loss 2.2157 (2.2640) Prec@1 51.562 (48.067) Prec@5 76.172 (73.318)
Epoch: [83][1820/5005] Time 0.202 (0.212) Data 0.046 (0.047) Loss 2.2326 (2.2639) Prec@1 48.047 (48.067) Prec@5 77.344 (73.321)
Epoch: [83][1830/5005] Time 0.207 (0.212) Data 0.058 (0.047) Loss 2.0958 (2.2635) Prec@1 54.297 (48.080) Prec@5 76.953 (73.321)
Epoch: [83][1840/5005] Time 0.202 (0.212) Data 0.042 (0.047) Loss 2.2209 (2.2634) Prec@1 48.828 (48.079) Prec@5 73.438 (73.327)
Epoch: [83][1850/5005] Time 0.206 (0.212) Data 0.046 (0.047) Loss 2.1869 (2.2631) Prec@1 49.219 (48.084) Prec@5 75.391 (73.325)
Epoch: [83][1860/5005] Time 0.215 (0.212) Data 0.044 (0.047) Loss 2.0935 (2.2631) Prec@1 52.344 (48.086) Prec@5 74.609 (73.328)
Epoch: [83][1870/5005] Time 0.212 (0.212) Data 0.044 (0.047) Loss 2.4863 (2.2634) Prec@1 43.359 (48.081) Prec@5 69.531 (73.323)
Epoch: [83][1880/5005] Time 0.207 (0.212) Data 0.041 (0.047) Loss 2.3335 (2.2636) Prec@1 46.875 (48.081) Prec@5 71.094 (73.321)
Epoch: [83][1890/5005] Time 0.221 (0.212) Data 0.042 (0.047) Loss 2.4042 (2.2635) Prec@1 48.047 (48.083) Prec@5 72.266 (73.316)
Epoch: [83][1900/5005] Time 0.208 (0.212) Data 0.042 (0.047) Loss 2.2764 (2.2639) Prec@1 46.875 (48.074) Prec@5 74.609 (73.316)
Epoch: [83][1910/5005] Time 0.214 (0.212) Data 0.045 (0.047) Loss 2.1529 (2.2639) Prec@1 50.000 (48.071) Prec@5 75.391 (73.318)
Epoch: [83][1920/5005] Time 0.202 (0.212) Data 0.044 (0.047) Loss 2.1189 (2.2635) Prec@1 50.000 (48.074) Prec@5 76.562 (73.325)
Epoch: [83][1930/5005] Time 0.219 (0.212) Data 0.047 (0.047) Loss 2.1569 (2.2632) Prec@1 50.391 (48.078) Prec@5 73.438 (73.336)
Epoch: [83][1940/5005] Time 0.204 (0.212) Data 0.046 (0.047) Loss 2.1240 (2.2627) Prec@1 53.125 (48.085) Prec@5 76.172 (73.345)
Epoch: [83][1950/5005] Time 0.212 (0.212) Data 0.040 (0.047) Loss 2.4488 (2.2626) Prec@1 41.016 (48.085) Prec@5 72.266 (73.346)
Epoch: [83][1960/5005] Time 0.207 (0.212) Data 0.044 (0.047) Loss 2.1459 (2.2621) Prec@1 50.391 (48.096) Prec@5 75.000 (73.354)
Epoch: [83][1970/5005] Time 0.208 (0.212) Data 0.042 (0.047) Loss 2.2187 (2.2623) Prec@1 48.828 (48.092) Prec@5 76.172 (73.350)
Epoch: [83][1980/5005] Time 0.214 (0.212) Data 0.046 (0.047) Loss 1.9090 (2.2619) Prec@1 54.688 (48.101) Prec@5 80.078 (73.360)
Epoch: [83][1990/5005] Time 0.205 (0.212) Data 0.040 (0.047) Loss 2.0939 (2.2617) Prec@1 50.781 (48.105) Prec@5 74.609 (73.363)
Epoch: [83][2000/5005] Time 0.216 (0.212) Data 0.042 (0.047) Loss 2.1401 (2.2619) Prec@1 49.219 (48.100) Prec@5 78.125 (73.362)
Epoch: [83][2010/5005] Time 0.207 (0.212) Data 0.041 (0.047) Loss 2.1762 (2.2619) Prec@1 50.000 (48.099) Prec@5 75.391 (73.363)
Epoch: [83][2020/5005] Time 0.207 (0.212) Data 0.045 (0.047) Loss 2.2677 (2.2619) Prec@1 44.922 (48.099) Prec@5 73.438 (73.365)
Epoch: [83][2030/5005] Time 0.212 (0.211) Data 0.054 (0.047) Loss 2.2255 (2.2621) Prec@1 47.656 (48.097) Prec@5 74.609 (73.366)
Epoch: [83][2040/5005] Time 0.223 (0.211) Data 0.041 (0.047) Loss 2.0433 (2.2619) Prec@1 52.734 (48.107) Prec@5 75.781 (73.371)
Epoch: [83][2050/5005] Time 0.213 (0.211) Data 0.042 (0.047) Loss 2.4043 (2.2618) Prec@1 48.828 (48.112) Prec@5 71.875 (73.378)
Epoch: [83][2060/5005] Time 0.200 (0.211) Data 0.045 (0.047) Loss 2.2056 (2.2620) Prec@1 48.047 (48.106) Prec@5 73.438 (73.377)
Epoch: [83][2070/5005] Time 0.208 (0.211) Data 0.047 (0.047) Loss 2.4990 (2.2622) Prec@1 44.531 (48.104) Prec@5 67.969 (73.367)
Epoch: [83][2080/5005] Time 0.215 (0.211) Data 0.047 (0.047) Loss 2.2690 (2.2621) Prec@1 47.656 (48.105) Prec@5 74.609 (73.368)
Epoch: [83][2090/5005] Time 0.213 (0.211) Data 0.053 (0.047) Loss 2.1461 (2.2616) Prec@1 50.391 (48.117) Prec@5 77.344 (73.376)
Epoch: [83][2100/5005] Time 0.208 (0.211) Data 0.050 (0.047) Loss 2.3477 (2.2614) Prec@1 43.750 (48.121) Prec@5 73.047 (73.381)
Epoch: [83][2110/5005] Time 0.212 (0.211) Data 0.055 (0.047) Loss 2.1515 (2.2615) Prec@1 49.609 (48.123) Prec@5 74.219 (73.382)
Epoch: [83][2120/5005] Time 0.205 (0.211) Data 0.050 (0.047) Loss 2.4206 (2.2614) Prec@1 44.922 (48.131) Prec@5 71.094 (73.387)
Epoch: [83][2130/5005] Time 0.204 (0.211) Data 0.050 (0.047) Loss 2.2443 (2.2611) Prec@1 47.266 (48.129) Prec@5 75.391 (73.396)
Epoch: [83][2140/5005] Time 0.218 (0.211) Data 0.045 (0.047) Loss 2.2268 (2.2612) Prec@1 50.000 (48.127) Prec@5 72.656 (73.392)
Epoch: [83][2150/5005] Time 0.215 (0.211) Data 0.042 (0.047) Loss 1.9925 (2.2612) Prec@1 55.859 (48.122) Prec@5 76.172 (73.390)
Epoch: [83][2160/5005] Time 0.214 (0.211) Data 0.051 (0.047) Loss 2.1830 (2.2612) Prec@1 48.047 (48.123) Prec@5 71.484 (73.392)
Epoch: [83][2170/5005] Time 0.207 (0.211) Data 0.053 (0.047) Loss 2.1544 (2.2607) Prec@1 51.172 (48.129) Prec@5 75.391 (73.398)
Epoch: [83][2180/5005] Time 0.204 (0.211) Data 0.047 (0.047) Loss 2.4463 (2.2609) Prec@1 49.609 (48.126) Prec@5 69.922 (73.396)
Epoch: [83][2190/5005] Time 0.212 (0.211) Data 0.046 (0.047) Loss 2.5237 (2.2608) Prec@1 44.141 (48.130) Prec@5 67.969 (73.399)
Epoch: [83][2200/5005] Time 0.213 (0.211) Data 0.043 (0.047) Loss 2.2141 (2.2608) Prec@1 47.656 (48.127) Prec@5 71.484 (73.400)
Epoch: [83][2210/5005] Time 0.205 (0.211) Data 0.053 (0.047) Loss 2.2848 (2.2611) Prec@1 44.922 (48.123) Prec@5 71.875 (73.394)
Epoch: [83][2220/5005] Time 0.216 (0.211) Data 0.044 (0.047) Loss 2.4251 (2.2610) Prec@1 48.828 (48.124) Prec@5 67.578 (73.393)
Epoch: [83][2230/5005] Time 0.202 (0.211) Data 0.055 (0.047) Loss 2.2941 (2.2611) Prec@1 49.609 (48.124) Prec@5 73.047 (73.392)
Epoch: [83][2240/5005] Time 0.202 (0.211) Data 0.043 (0.047) Loss 2.3317 (2.2612) Prec@1 46.875 (48.121) Prec@5 71.875 (73.391)
Epoch: [83][2250/5005] Time 0.202 (0.211) Data 0.044 (0.047) Loss 2.0689 (2.2611) Prec@1 50.391 (48.123) Prec@5 76.562 (73.396)
Epoch: [83][2260/5005] Time 0.212 (0.211) Data 0.058 (0.047) Loss 2.1317 (2.2609) Prec@1 44.531 (48.124) Prec@5 74.609 (73.400)
Epoch: [83][2270/5005] Time 0.202 (0.211) Data 0.048 (0.047) Loss 2.4125 (2.2607) Prec@1 43.359 (48.128) Prec@5 68.750 (73.401)
Epoch: [83][2280/5005] Time 0.215 (0.211) Data 0.043 (0.047) Loss 2.2969 (2.2608) Prec@1 49.609 (48.130) Prec@5 71.875 (73.403)
Epoch: [83][2290/5005] Time 0.211 (0.211) Data 0.042 (0.047) Loss 2.0854 (2.2607) Prec@1 51.562 (48.130) Prec@5 76.172 (73.402)
Epoch: [83][2300/5005] Time 0.210 (0.211) Data 0.045 (0.047) Loss 2.2020 (2.2606) Prec@1 45.312 (48.136) Prec@5 75.000 (73.405)
Epoch: [83][2310/5005] Time 0.212 (0.211) Data 0.044 (0.047) Loss 2.1144 (2.2605) Prec@1 52.344 (48.139) Prec@5 75.781 (73.407)
Epoch: [83][2320/5005] Time 0.211 (0.211) Data 0.043 (0.047) Loss 2.4084 (2.2603) Prec@1 46.094 (48.142) Prec@5 70.312 (73.411)
Epoch: [83][2330/5005] Time 0.205 (0.211) Data 0.043 (0.047) Loss 2.2922 (2.2602) Prec@1 47.266 (48.142) Prec@5 73.828 (73.414)
Epoch: [83][2340/5005] Time 0.209 (0.211) Data 0.055 (0.047) Loss 2.2372 (2.2598) Prec@1 48.438 (48.151) Prec@5 75.000 (73.420)
Epoch: [83][2350/5005] Time 0.208 (0.211) Data 0.041 (0.047) Loss 2.1147 (2.2595) Prec@1 50.781 (48.155) Prec@5 77.344 (73.424)
Epoch: [83][2360/5005] Time 0.216 (0.211) Data 0.042 (0.047) Loss 2.2453 (2.2596) Prec@1 50.000 (48.157) Prec@5 75.000 (73.421)
Epoch: [83][2370/5005] Time 0.213 (0.211) Data 0.042 (0.047) Loss 2.2136 (2.2596) Prec@1 46.484 (48.157) Prec@5 75.781 (73.419)
Epoch: [83][2380/5005] Time 0.214 (0.211) Data 0.045 (0.047) Loss 2.4584 (2.2594) Prec@1 45.703 (48.159) Prec@5 69.141 (73.420)
Epoch: [83][2390/5005] Time 0.203 (0.211) Data 0.040 (0.047) Loss 2.3487 (2.2594) Prec@1 44.141 (48.162) Prec@5 71.094 (73.416)
Epoch: [83][2400/5005] Time 0.203 (0.211) Data 0.045 (0.047) Loss 2.1970 (2.2594) Prec@1 47.656 (48.158) Prec@5 74.609 (73.417)
Epoch: [83][2410/5005] Time 0.202 (0.211) Data 0.044 (0.047) Loss 2.5405 (2.2595) Prec@1 42.188 (48.158) Prec@5 69.531 (73.414)
Epoch: [83][2420/5005] Time 0.195 (0.211) Data 0.043 (0.047) Loss 2.3728 (2.2595) Prec@1 46.484 (48.162) Prec@5 72.656 (73.416)
Epoch: [83][2430/5005] Time 0.206 (0.211) Data 0.045 (0.047) Loss 2.2017 (2.2595) Prec@1 51.562 (48.160) Prec@5 74.219 (73.413)
Epoch: [83][2440/5005] Time 0.209 (0.211) Data 0.043 (0.047) Loss 2.0842 (2.2594) Prec@1 53.516 (48.163) Prec@5 77.344 (73.413)
Epoch: [83][2450/5005] Time 0.209 (0.211) Data 0.050 (0.047) Loss 2.1257 (2.2593) Prec@1 51.953 (48.168) Prec@5 76.172 (73.415)
Epoch: [83][2460/5005] Time 0.202 (0.211) Data 0.067 (0.047) Loss 2.3912 (2.2592) Prec@1 46.094 (48.168) Prec@5 73.828 (73.416)
Epoch: [83][2470/5005] Time 0.204 (0.211) Data 0.052 (0.047) Loss 2.0914 (2.2591) Prec@1 53.125 (48.170) Prec@5 74.609 (73.419)
Epoch: [83][2480/5005] Time 0.209 (0.211) Data 0.046 (0.047) Loss 2.4378 (2.2593) Prec@1 44.922 (48.169) Prec@5 71.094 (73.416)
Epoch: [83][2490/5005] Time 0.211 (0.211) Data 0.043 (0.047) Loss 2.0372 (2.2592) Prec@1 53.906 (48.171) Prec@5 78.906 (73.419)
Epoch: [83][2500/5005] Time 0.206 (0.211) Data 0.046 (0.047) Loss 2.2860 (2.2591) Prec@1 50.391 (48.172) Prec@5 71.875 (73.421)
Epoch: [83][2510/5005] Time 0.207 (0.211) Data 0.046 (0.047) Loss 2.1636 (2.2590) Prec@1 53.906 (48.176) Prec@5 76.562 (73.425)
Epoch: [83][2520/5005] Time 0.204 (0.211) Data 0.056 (0.047) Loss 2.1485 (2.2590) Prec@1 49.609 (48.172) Prec@5 73.047 (73.422)
Epoch: [83][2530/5005] Time 0.207 (0.211) Data 0.041 (0.047) Loss 2.2975 (2.2591) Prec@1 51.172 (48.173) Prec@5 71.094 (73.419)
Epoch: [83][2540/5005] Time 0.213 (0.211) Data 0.041 (0.047) Loss 2.3187 (2.2590) Prec@1 45.703 (48.174) Prec@5 70.703 (73.416)
Epoch: [83][2550/5005] Time 0.211 (0.211) Data 0.043 (0.047) Loss 2.2414 (2.2589) Prec@1 49.609 (48.174) Prec@5 75.000 (73.419)
Epoch: [83][2560/5005] Time 0.212 (0.211) Data 0.047 (0.047) Loss 2.4032 (2.2591) Prec@1 42.969 (48.175) Prec@5 74.609 (73.418)
Epoch: [83][2570/5005] Time 0.208 (0.211) Data 0.041 (0.047) Loss 2.2215 (2.2592) Prec@1 48.438 (48.172) Prec@5 74.609 (73.418)
Epoch: [83][2580/5005] Time 0.204 (0.211) Data 0.045 (0.047) Loss 2.3452 (2.2596) Prec@1 45.312 (48.164) Prec@5 72.656 (73.411)
Epoch: [83][2590/5005] Time 0.215 (0.211) Data 0.051 (0.047) Loss 2.4149 (2.2594) Prec@1 49.609 (48.173) Prec@5 70.312 (73.414)
Epoch: [83][2600/5005] Time 0.211 (0.211) Data 0.043 (0.047) Loss 2.3618 (2.2597) Prec@1 47.656 (48.170) Prec@5 71.875 (73.410)
Epoch: [83][2610/5005] Time 0.202 (0.211) Data 0.064 (0.047) Loss 2.3975 (2.2595) Prec@1 47.266 (48.174) Prec@5 73.438 (73.416)
Epoch: [83][2620/5005] Time 0.206 (0.211) Data 0.040 (0.047) Loss 2.2346 (2.2594) Prec@1 47.266 (48.179) Prec@5 73.047 (73.416)
Epoch: [83][2630/5005] Time 0.208 (0.211) Data 0.043 (0.047) Loss 2.4554 (2.2599) Prec@1 44.531 (48.174) Prec@5 68.359 (73.405)
Epoch: [83][2640/5005] Time 0.210 (0.211) Data 0.042 (0.047) Loss 2.4886 (2.2599) Prec@1 44.141 (48.173) Prec@5 69.141 (73.402)
Epoch: [83][2650/5005] Time 0.213 (0.211) Data 0.042 (0.047) Loss 2.5845 (2.2600) Prec@1 41.797 (48.172) Prec@5 68.359 (73.403)
Epoch: [83][2660/5005] Time 0.217 (0.211) Data 0.041 (0.047) Loss 2.2203 (2.2600) Prec@1 45.703 (48.170) Prec@5 72.656 (73.402)
Epoch: [83][2670/5005] Time 0.209 (0.211) Data 0.043 (0.047) Loss 2.0597 (2.2598) Prec@1 53.516 (48.177) Prec@5 76.953 (73.403)
Epoch: [83][2680/5005] Time 0.207 (0.211) Data 0.042 (0.047) Loss 2.0816 (2.2597) Prec@1 55.078 (48.177) Prec@5 75.781 (73.402)
Epoch: [83][2690/5005] Time 0.207 (0.211) Data 0.040 (0.047) Loss 2.1529 (2.2596) Prec@1 51.953 (48.180) Prec@5 74.219 (73.401)
Epoch: [83][2700/5005] Time 0.203 (0.211) Data 0.043 (0.047) Loss 2.1965 (2.2596) Prec@1 46.875 (48.176) Prec@5 71.875 (73.402)
Epoch: [83][2710/5005] Time 0.205 (0.211) Data 0.042 (0.047) Loss 2.1685 (2.2596) Prec@1 49.609 (48.173) Prec@5 73.828 (73.399)
Epoch: [83][2720/5005] Time 0.212 (0.211) Data 0.040 (0.047) Loss 2.1098 (2.2596) Prec@1 51.172 (48.175) Prec@5 77.344 (73.398)
Epoch: [83][2730/5005] Time 0.210 (0.211) Data 0.046 (0.047) Loss 2.1846 (2.2594) Prec@1 46.094 (48.179) Prec@5 75.000 (73.399)
Epoch: [83][2740/5005] Time 0.206 (0.211) Data 0.047 (0.047) Loss 2.2243 (2.2593) Prec@1 49.219 (48.184) Prec@5 74.609 (73.400)
Epoch: [83][2750/5005] Time 0.203 (0.211) Data 0.045 (0.047) Loss 2.2063 (2.2593) Prec@1 46.484 (48.186) Prec@5 71.875 (73.397)
Epoch: [83][2760/5005] Time 0.213 (0.211) Data 0.045 (0.047) Loss 2.2336 (2.2592) Prec@1 51.562 (48.190) Prec@5 76.172 (73.405)
Epoch: [83][2770/5005] Time 0.213 (0.211) Data 0.044 (0.047) Loss 2.1664 (2.2593) Prec@1 48.438 (48.188) Prec@5 76.562 (73.401)
Epoch: [83][2780/5005] Time 0.206 (0.211) Data 0.047 (0.047) Loss 2.4145 (2.2593) Prec@1 46.094 (48.192) Prec@5 69.531 (73.402)
Epoch: [83][2790/5005] Time 0.196 (0.211) Data 0.052 (0.047) Loss 2.4145 (2.2594) Prec@1 44.141 (48.195) Prec@5 70.312 (73.397)
Epoch: [83][2800/5005] Time 0.204 (0.210) Data 0.046 (0.047) Loss 2.0699 (2.2593) Prec@1 55.859 (48.199) Prec@5 78.516 (73.397)
Epoch: [83][2810/5005] Time 0.219 (0.210) Data 0.045 (0.047) Loss 2.5416 (2.2592) Prec@1 43.750 (48.198) Prec@5 71.484 (73.398)
Epoch: [83][2820/5005] Time 0.200 (0.210) Data 0.061 (0.047) Loss 1.9475 (2.2591) Prec@1 48.828 (48.196) Prec@5 79.688 (73.401)
Epoch: [83][2830/5005] Time 0.198 (0.210) Data 0.044 (0.047) Loss 2.5786 (2.2592) Prec@1 45.703 (48.194) Prec@5 68.359 (73.400)
Epoch: [83][2840/5005] Time 0.206 (0.210) Data 0.045 (0.047) Loss 2.2168 (2.2591) Prec@1 47.656 (48.195) Prec@5 73.438 (73.398)
Epoch: [83][2850/5005] Time 0.212 (0.210) Data 0.041 (0.047) Loss 2.1834 (2.2590) Prec@1 51.172 (48.202) Prec@5 72.656 (73.398)
Epoch: [83][2860/5005] Time 0.221 (0.210) Data 0.044 (0.047) Loss 2.2730 (2.2592) Prec@1 45.703 (48.203) Prec@5 73.828 (73.394)
Epoch: [83][2870/5005] Time 0.201 (0.210) Data 0.050 (0.047) Loss 2.2847 (2.2589) Prec@1 50.000 (48.209) Prec@5 75.391 (73.397)
Epoch: [83][2880/5005] Time 0.209 (0.210) Data 0.045 (0.047) Loss 2.4107 (2.2591) Prec@1 41.406 (48.205) Prec@5 74.609 (73.397)
Epoch: [83][2890/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.2839 (2.2590) Prec@1 46.484 (48.207) Prec@5 73.047 (73.399)
Epoch: [83][2900/5005] Time 0.201 (0.210) Data 0.047 (0.047) Loss 1.9215 (2.2587) Prec@1 56.641 (48.213) Prec@5 77.734 (73.405)
Epoch: [83][2910/5005] Time 0.211 (0.210) Data 0.042 (0.047) Loss 2.2071 (2.2586) Prec@1 49.609 (48.216) Prec@5 75.391 (73.407)
Epoch: [83][2920/5005] Time 0.212 (0.210) Data 0.041 (0.047) Loss 2.3830 (2.2587) Prec@1 44.531 (48.217) Prec@5 71.875 (73.406)
Epoch: [83][2930/5005] Time 0.201 (0.210) Data 0.044 (0.047) Loss 2.4138 (2.2588) Prec@1 40.625 (48.213) Prec@5 71.875 (73.400)
Epoch: [83][2940/5005] Time 0.207 (0.210) Data 0.047 (0.047) Loss 2.2519 (2.2586) Prec@1 47.656 (48.217) Prec@5 69.531 (73.400)
Epoch: [83][2950/5005] Time 0.197 (0.210) Data 0.049 (0.047) Loss 2.4055 (2.2584) Prec@1 44.141 (48.224) Prec@5 71.875 (73.405)
Epoch: [83][2960/5005] Time 0.203 (0.210) Data 0.046 (0.047) Loss 2.2110 (2.2582) Prec@1 49.219 (48.229) Prec@5 73.438 (73.407)
Epoch: [83][2970/5005] Time 0.211 (0.210) Data 0.045 (0.047) Loss 2.2567 (2.2581) Prec@1 47.656 (48.232) Prec@5 70.703 (73.409)
Epoch: [83][2980/5005] Time 0.218 (0.210) Data 0.046 (0.047) Loss 2.4376 (2.2582) Prec@1 42.188 (48.226) Prec@5 69.531 (73.408)
Epoch: [83][2990/5005] Time 0.205 (0.210) Data 0.058 (0.047) Loss 2.1994 (2.2583) Prec@1 53.516 (48.226) Prec@5 74.219 (73.406)
Epoch: [83][3000/5005] Time 0.218 (0.210) Data 0.047 (0.047) Loss 2.1863 (2.2582) Prec@1 47.266 (48.227) Prec@5 75.781 (73.404)
Epoch: [83][3010/5005] Time 0.196 (0.210) Data 0.041 (0.047) Loss 2.1610 (2.2582) Prec@1 51.172 (48.222) Prec@5 77.344 (73.404)
Epoch: [83][3020/5005] Time 0.208 (0.210) Data 0.044 (0.047) Loss 2.1402 (2.2583) Prec@1 47.656 (48.219) Prec@5 75.391 (73.402)
Epoch: [83][3030/5005] Time 0.216 (0.210) Data 0.043 (0.047) Loss 2.3570 (2.2583) Prec@1 48.828 (48.220) Prec@5 73.828 (73.404)
Epoch: [83][3040/5005] Time 0.206 (0.210) Data 0.048 (0.047) Loss 2.2434 (2.2584) Prec@1 50.000 (48.223) Prec@5 73.047 (73.400)
Epoch: [83][3050/5005] Time 0.205 (0.210) Data 0.052 (0.047) Loss 2.2222 (2.2583) Prec@1 48.438 (48.226) Prec@5 76.172 (73.402)
Epoch: [83][3060/5005] Time 0.212 (0.210) Data 0.046 (0.047) Loss 2.2387 (2.2583) Prec@1 50.781 (48.225) Prec@5 74.609 (73.403)
Epoch: [83][3070/5005] Time 0.210 (0.210) Data 0.048 (0.047) Loss 2.1973 (2.2585) Prec@1 49.219 (48.220) Prec@5 72.656 (73.399)
Epoch: [83][3080/5005] Time 0.209 (0.210) Data 0.051 (0.047) Loss 2.1229 (2.2585) Prec@1 49.609 (48.219) Prec@5 78.125 (73.401)
Epoch: [83][3090/5005] Time 0.208 (0.210) Data 0.050 (0.047) Loss 2.4922 (2.2584) Prec@1 47.656 (48.226) Prec@5 69.141 (73.402)
Epoch: [83][3100/5005] Time 0.206 (0.210) Data 0.047 (0.047) Loss 2.2817 (2.2585) Prec@1 48.438 (48.228) Prec@5 71.094 (73.397)
Epoch: [83][3110/5005] Time 0.208 (0.210) Data 0.042 (0.047) Loss 2.0969 (2.2582) Prec@1 50.391 (48.232) Prec@5 74.609 (73.404)
Epoch: [83][3120/5005] Time 0.210 (0.210) Data 0.043 (0.047) Loss 2.3763 (2.2581) Prec@1 43.750 (48.232) Prec@5 72.656 (73.403)
Epoch: [83][3130/5005] Time 0.209 (0.210) Data 0.043 (0.047) Loss 2.1937 (2.2578) Prec@1 48.438 (48.237) Prec@5 73.047 (73.404)
Epoch: [83][3140/5005] Time 0.202 (0.210) Data 0.055 (0.047) Loss 2.0778 (2.2576) Prec@1 52.344 (48.239) Prec@5 73.047 (73.404)
Epoch: [83][3150/5005] Time 0.209 (0.210) Data 0.041 (0.047) Loss 2.2731 (2.2576) Prec@1 51.172 (48.245) Prec@5 72.266 (73.404)
Epoch: [83][3160/5005] Time 0.218 (0.210) Data 0.042 (0.047) Loss 2.0954 (2.2575) Prec@1 50.000 (48.248) Prec@5 76.953 (73.406)
Epoch: [83][3170/5005] Time 0.210 (0.210) Data 0.042 (0.047) Loss 2.3433 (2.2575) Prec@1 49.609 (48.251) Prec@5 71.875 (73.408)
Epoch: [83][3180/5005] Time 0.207 (0.210) Data 0.041 (0.047) Loss 2.1502 (2.2576) Prec@1 52.734 (48.250) Prec@5 75.391 (73.404)
Epoch: [83][3190/5005] Time 0.214 (0.210) Data 0.043 (0.047) Loss 2.2847 (2.2577) Prec@1 46.875 (48.247) Prec@5 71.875 (73.404)
Epoch: [83][3200/5005] Time 0.216 (0.210) Data 0.051 (0.047) Loss 2.2183 (2.2575) Prec@1 46.094 (48.249) Prec@5 76.562 (73.409)
Epoch: [83][3210/5005] Time 0.208 (0.210) Data 0.048 (0.047) Loss 2.2761 (2.2575) Prec@1 48.047 (48.252) Prec@5 70.312 (73.406)
Epoch: [83][3220/5005] Time 0.209 (0.210) Data 0.043 (0.047) Loss 2.2002 (2.2574) Prec@1 53.125 (48.256) Prec@5 73.047 (73.409)
Epoch: [83][3230/5005] Time 0.210 (0.210) Data 0.039 (0.047) Loss 2.1834 (2.2571) Prec@1 50.391 (48.264) Prec@5 72.266 (73.410)
Epoch: [83][3240/5005] Time 0.211 (0.210) Data 0.044 (0.047) Loss 2.3757 (2.2574) Prec@1 45.703 (48.258) Prec@5 72.266 (73.405)
Epoch: [83][3250/5005] Time 0.204 (0.210) Data 0.044 (0.047) Loss 2.2116 (2.2576) Prec@1 51.562 (48.255) Prec@5 75.781 (73.405)
Epoch: [83][3260/5005] Time 0.202 (0.210) Data 0.047 (0.047) Loss 2.1242 (2.2575) Prec@1 50.000 (48.256) Prec@5 76.562 (73.409)
Epoch: [83][3270/5005] Time 0.200 (0.210) Data 0.046 (0.047) Loss 2.4005 (2.2573) Prec@1 47.656 (48.258) Prec@5 67.578 (73.410)
Epoch: [83][3280/5005] Time 0.210 (0.210) Data 0.059 (0.047) Loss 2.1696 (2.2575) Prec@1 50.000 (48.254) Prec@5 75.391 (73.410)
Epoch: [83][3290/5005] Time 0.212 (0.210) Data 0.041 (0.047) Loss 2.2118 (2.2573) Prec@1 49.609 (48.257) Prec@5 71.094 (73.412)
Epoch: [83][3300/5005] Time 0.209 (0.210) Data 0.043 (0.047) Loss 2.1202 (2.2573) Prec@1 50.391 (48.258) Prec@5 77.734 (73.413)
Epoch: [83][3310/5005] Time 0.210 (0.210) Data 0.042 (0.047) Loss 2.1219 (2.2572) Prec@1 53.516 (48.261) Prec@5 73.438 (73.414)
Epoch: [83][3320/5005] Time 0.205 (0.210) Data 0.046 (0.047) Loss 2.3594 (2.2572) Prec@1 46.094 (48.258) Prec@5 69.531 (73.413)
Epoch: [83][3330/5005] Time 0.209 (0.210) Data 0.041 (0.047) Loss 2.2364 (2.2572) Prec@1 51.562 (48.256) Prec@5 73.438 (73.415)
Epoch: [83][3340/5005] Time 0.211 (0.210) Data 0.044 (0.047) Loss 2.4270 (2.2573) Prec@1 44.531 (48.255) Prec@5 73.828 (73.416)
Epoch: [83][3350/5005] Time 0.214 (0.210) Data 0.044 (0.047) Loss 2.2941 (2.2572) Prec@1 51.172 (48.254) Prec@5 71.094 (73.417)
Epoch: [83][3360/5005] Time 0.211 (0.210) Data 0.043 (0.047) Loss 2.2846 (2.2572) Prec@1 45.703 (48.253) Prec@5 72.266 (73.417)
Epoch: [83][3370/5005] Time 0.207 (0.210) Data 0.060 (0.047) Loss 2.3410 (2.2574) Prec@1 42.188 (48.249) Prec@5 74.219 (73.414)
Epoch: [83][3380/5005] Time 0.207 (0.210) Data 0.042 (0.047) Loss 2.1769 (2.2572) Prec@1 52.344 (48.254) Prec@5 73.828 (73.416)
Epoch: [83][3390/5005] Time 0.199 (0.210) Data 0.042 (0.047) Loss 2.1948 (2.2573) Prec@1 48.047 (48.251) Prec@5 74.609 (73.415)
Epoch: [83][3400/5005] Time 0.205 (0.210) Data 0.047 (0.047) Loss 2.2207 (2.2573) Prec@1 48.047 (48.250) Prec@5 76.953 (73.414)
Epoch: [83][3410/5005] Time 0.207 (0.210) Data 0.050 (0.047) Loss 2.1583 (2.2573) Prec@1 49.219 (48.250) Prec@5 75.391 (73.415)
Epoch: [83][3420/5005] Time 0.206 (0.210) Data 0.045 (0.047) Loss 2.1356 (2.2573) Prec@1 49.609 (48.250) Prec@5 74.609 (73.417)
Epoch: [83][3430/5005] Time 0.205 (0.210) Data 0.039 (0.047) Loss 2.1782 (2.2572) Prec@1 46.094 (48.248) Prec@5 72.656 (73.418)
Epoch: [83][3440/5005] Time 0.206 (0.210) Data 0.046 (0.047) Loss 2.3228 (2.2570) Prec@1 48.828 (48.249) Prec@5 67.188 (73.420)
Epoch: [83][3450/5005] Time 0.208 (0.210) Data 0.057 (0.047) Loss 2.1260 (2.2569) Prec@1 51.172 (48.252) Prec@5 74.609 (73.423)
Epoch: [83][3460/5005] Time 0.207 (0.210) Data 0.048 (0.047) Loss 2.2553 (2.2569) Prec@1 46.875 (48.254) Prec@5 73.047 (73.424)
Epoch: [83][3470/5005] Time 0.202 (0.210) Data 0.047 (0.047) Loss 2.0230 (2.2566) Prec@1 53.125 (48.261) Prec@5 73.828 (73.428)
Epoch: [83][3480/5005] Time 0.214 (0.210) Data 0.045 (0.047) Loss 2.2428 (2.2563) Prec@1 49.219 (48.264) Prec@5 70.312 (73.429)
Epoch: [83][3490/5005] Time 0.200 (0.210) Data 0.049 (0.047) Loss 2.3392 (2.2564) Prec@1 45.312 (48.262) Prec@5 72.266 (73.428)
Epoch: [83][3500/5005] Time 0.207 (0.210) Data 0.045 (0.047) Loss 2.0964 (2.2564) Prec@1 51.953 (48.260) Prec@5 78.906 (73.428)
Epoch: [83][3510/5005] Time 0.201 (0.210) Data 0.044 (0.047) Loss 2.1155 (2.2563) Prec@1 51.953 (48.263) Prec@5 75.000 (73.431)
Epoch: [83][3520/5005] Time 0.209 (0.210) Data 0.045 (0.047) Loss 2.4106 (2.2564) Prec@1 48.438 (48.263) Prec@5 69.141 (73.429)
Epoch: [83][3530/5005] Time 0.204 (0.210) Data 0.051 (0.047) Loss 2.1804 (2.2563) Prec@1 48.047 (48.267) Prec@5 76.172 (73.428)
Epoch: [83][3540/5005] Time 0.210 (0.210) Data 0.046 (0.047) Loss 2.2482 (2.2562) Prec@1 46.484 (48.271) Prec@5 76.172 (73.432)
Epoch: [83][3550/5005] Time 0.205 (0.210) Data 0.045 (0.047) Loss 2.3307 (2.2561) Prec@1 46.094 (48.274) Prec@5 74.219 (73.435)
Epoch: [83][3560/5005] Time 0.199 (0.210) Data 0.063 (0.047) Loss 2.4100 (2.2560) Prec@1 42.578 (48.275) Prec@5 74.219 (73.436)
Epoch: [83][3570/5005] Time 0.208 (0.210) Data 0.044 (0.047) Loss 2.4445 (2.2561) Prec@1 45.703 (48.273) Prec@5 70.312 (73.434)
Epoch: [83][3580/5005] Time 0.198 (0.210) Data 0.049 (0.047) Loss 2.2294 (2.2562) Prec@1 50.000 (48.272) Prec@5 72.656 (73.433)
Epoch: [83][3590/5005] Time 0.214 (0.210) Data 0.044 (0.047) Loss 2.2400 (2.2559) Prec@1 48.438 (48.277) Prec@5 73.047 (73.436)
Epoch: [83][3600/5005] Time 0.202 (0.210) Data 0.069 (0.047) Loss 2.2530 (2.2558) Prec@1 51.953 (48.281) Prec@5 74.219 (73.436)
Epoch: [83][3610/5005] Time 0.210 (0.210) Data 0.057 (0.047) Loss 2.1441 (2.2559) Prec@1 51.172 (48.278) Prec@5 76.172 (73.434)
Epoch: [83][3620/5005] Time 0.191 (0.210) Data 0.044 (0.047) Loss 2.3447 (2.2556) Prec@1 44.141 (48.284) Prec@5 70.312 (73.438)
Epoch: [83][3630/5005] Time 0.197 (0.210) Data 0.046 (0.047) Loss 2.4139 (2.2555) Prec@1 46.875 (48.285) Prec@5 70.312 (73.442)
Epoch: [83][3640/5005] Time 0.193 (0.210) Data 0.040 (0.047) Loss 2.1925 (2.2556) Prec@1 44.922 (48.285) Prec@5 73.047 (73.439)
Epoch: [83][3650/5005] Time 0.211 (0.210) Data 0.044 (0.047) Loss 2.0932 (2.2555) Prec@1 50.391 (48.284) Prec@5 77.344 (73.442)
Epoch: [83][3660/5005] Time 0.197 (0.210) Data 0.043 (0.047) Loss 2.2969 (2.2554) Prec@1 46.875 (48.286) Prec@5 75.391 (73.444)
Epoch: [83][3670/5005] Time 0.192 (0.210) Data 0.063 (0.047) Loss 2.3540 (2.2554) Prec@1 49.219 (48.286) Prec@5 71.875 (73.443)
Epoch: [83][3680/5005] Time 0.201 (0.210) Data 0.046 (0.047) Loss 2.1222 (2.2554) Prec@1 51.172 (48.289) Prec@5 75.000 (73.445)
Epoch: [83][3690/5005] Time 0.198 (0.210) Data 0.040 (0.047) Loss 1.9410 (2.2554) Prec@1 51.172 (48.291) Prec@5 83.203 (73.450)
Epoch: [83][3700/5005] Time 0.208 (0.210) Data 0.051 (0.047) Loss 2.2516 (2.2553) Prec@1 51.953 (48.295) Prec@5 70.312 (73.448)
Epoch: [83][3710/5005] Time 0.215 (0.210) Data 0.042 (0.047) Loss 2.1715 (2.2553) Prec@1 48.047 (48.294) Prec@5 72.266 (73.449)
Epoch: [83][3720/5005] Time 0.204 (0.210) Data 0.056 (0.047) Loss 2.3746 (2.2553) Prec@1 50.000 (48.293) Prec@5 73.438 (73.450)
Epoch: [83][3730/5005] Time 0.205 (0.210) Data 0.062 (0.047) Loss 1.9530 (2.2550) Prec@1 53.906 (48.294) Prec@5 78.906 (73.455)
Epoch: [83][3740/5005] Time 0.219 (0.210) Data 0.047 (0.047) Loss 2.2007 (2.2548) Prec@1 50.000 (48.300) Prec@5 72.656 (73.459)
Epoch: [83][3750/5005] Time 0.208 (0.210) Data 0.049 (0.047) Loss 2.0698 (2.2549) Prec@1 52.734 (48.298) Prec@5 79.688 (73.458)
Epoch: [83][3760/5005] Time 0.214 (0.210) Data 0.051 (0.047) Loss 2.2781 (2.2550) Prec@1 47.266 (48.297) Prec@5 73.438 (73.457)
Epoch: [83][3770/5005] Time 0.209 (0.210) Data 0.045 (0.047) Loss 2.3451 (2.2549) Prec@1 43.359 (48.296) Prec@5 72.266 (73.460)
Epoch: [83][3780/5005] Time 0.201 (0.210) Data 0.042 (0.047) Loss 2.2103 (2.2548) Prec@1 45.312 (48.299) Prec@5 73.828 (73.461)
Epoch: [83][3790/5005] Time 0.217 (0.210) Data 0.042 (0.047) Loss 2.4321 (2.2549) Prec@1 47.266 (48.297) Prec@5 71.484 (73.461)
Epoch: [83][3800/5005] Time 0.205 (0.210) Data 0.041 (0.047) Loss 2.1086 (2.2550) Prec@1 51.562 (48.299) Prec@5 76.562 (73.461)
Epoch: [83][3810/5005] Time 0.211 (0.210) Data 0.044 (0.047) Loss 2.3679 (2.2551) Prec@1 48.438 (48.294) Prec@5 73.828 (73.459)
Epoch: [83][3820/5005] Time 0.203 (0.210) Data 0.046 (0.047) Loss 2.2340 (2.2550) Prec@1 50.000 (48.297) Prec@5 75.000 (73.462)
Epoch: [83][3830/5005] Time 0.205 (0.210) Data 0.047 (0.047) Loss 2.2631 (2.2548) Prec@1 47.656 (48.300) Prec@5 76.562 (73.465)
Epoch: [83][3840/5005] Time 0.217 (0.210) Data 0.044 (0.047) Loss 2.5503 (2.2549) Prec@1 42.188 (48.297) Prec@5 69.141 (73.465)
Epoch: [83][3850/5005] Time 0.196 (0.210) Data 0.046 (0.047) Loss 2.3157 (2.2548) Prec@1 46.875 (48.297) Prec@5 71.484 (73.466)
Epoch: [83][3860/5005] Time 0.204 (0.210) Data 0.044 (0.047) Loss 2.0403 (2.2548) Prec@1 52.734 (48.298) Prec@5 73.828 (73.465)
Epoch: [83][3870/5005] Time 0.207 (0.210) Data 0.057 (0.047) Loss 2.0673 (2.2547) Prec@1 50.000 (48.297) Prec@5 78.906 (73.467)
Epoch: [83][3880/5005] Time 0.208 (0.210) Data 0.042 (0.047) Loss 2.1600 (2.2546) Prec@1 50.391 (48.301) Prec@5 74.219 (73.468)
Epoch: [83][3890/5005] Time 0.203 (0.210) Data 0.054 (0.047) Loss 2.4575 (2.2546) Prec@1 44.531 (48.298) Prec@5 69.141 (73.466)
Epoch: [83][3900/5005] Time 0.207 (0.210) Data 0.045 (0.047) Loss 2.4090 (2.2547) Prec@1 47.266 (48.299) Prec@5 70.703 (73.465)
Epoch: [83][3910/5005] Time 0.203 (0.210) Data 0.054 (0.047) Loss 2.2408 (2.2547) Prec@1 47.266 (48.301) Prec@5 73.047 (73.465)
Epoch: [83][3920/5005] Time 0.204 (0.210) Data 0.049 (0.047) Loss 2.2417 (2.2546) Prec@1 48.047 (48.302) Prec@5 72.656 (73.465)
Epoch: [83][3930/5005] Time 0.207 (0.210) Data 0.046 (0.047) Loss 2.2480 (2.2544) Prec@1 50.391 (48.304) Prec@5 74.219 (73.470)
Epoch: [83][3940/5005] Time 0.206 (0.210) Data 0.059 (0.047) Loss 2.2518 (2.2544) Prec@1 50.781 (48.305) Prec@5 73.438 (73.471)
Epoch: [83][3950/5005] Time 0.197 (0.210) Data 0.061 (0.047) Loss 2.0762 (2.2541) Prec@1 51.562 (48.310) Prec@5 75.781 (73.477)
Epoch: [83][3960/5005] Time 0.203 (0.210) Data 0.046 (0.047) Loss 2.1351 (2.2540) Prec@1 48.438 (48.310) Prec@5 76.953 (73.478)
Epoch: [83][3970/5005] Time 0.205 (0.210) Data 0.045 (0.047) Loss 2.2361 (2.2540) Prec@1 51.172 (48.309) Prec@5 73.438 (73.479)
Epoch: [83][3980/5005] Time 0.202 (0.210) Data 0.042 (0.047) Loss 2.0832 (2.2539) Prec@1 47.656 (48.310) Prec@5 78.125 (73.481)
Epoch: [83][3990/5005] Time 0.215 (0.210) Data 0.043 (0.047) Loss 2.3840 (2.2540) Prec@1 46.875 (48.307) Prec@5 71.484 (73.479)
Epoch: [83][4000/5005] Time 0.208 (0.210) Data 0.042 (0.047) Loss 2.1895 (2.2541) Prec@1 47.266 (48.306) Prec@5 74.219 (73.478)
Epoch: [83][4010/5005] Time 0.205 (0.210) Data 0.039 (0.047) Loss 2.3245 (2.2540) Prec@1 50.000 (48.311) Prec@5 70.312 (73.478)
Epoch: [83][4020/5005] Time 0.208 (0.210) Data 0.040 (0.047) Loss 2.3708 (2.2539) Prec@1 46.094 (48.311) Prec@5 72.266 (73.478)
Epoch: [83][4030/5005] Time 0.213 (0.210) Data 0.043 (0.047) Loss 2.4456 (2.2541) Prec@1 44.922 (48.310) Prec@5 71.094 (73.475)
Epoch: [83][4040/5005] Time 0.211 (0.210) Data 0.042 (0.047) Loss 2.3650 (2.2542) Prec@1 47.266 (48.309) Prec@5 69.531 (73.475)
Epoch: [83][4050/5005] Time 0.209 (0.210) Data 0.044 (0.047) Loss 2.4793 (2.2541) Prec@1 42.188 (48.310) Prec@5 69.141 (73.478)
Epoch: [83][4060/5005] Time 0.212 (0.210) Data 0.047 (0.047) Loss 2.2523 (2.2541) Prec@1 44.141 (48.311) Prec@5 71.484 (73.477)
Epoch: [83][4070/5005] Time 0.213 (0.210) Data 0.043 (0.047) Loss 2.4334 (2.2541) Prec@1 44.531 (48.309) Prec@5 73.438 (73.478)
Epoch: [83][4080/5005] Time 0.210 (0.210) Data 0.046 (0.047) Loss 2.1849 (2.2540) Prec@1 45.703 (48.309) Prec@5 73.828 (73.478)
Epoch: [83][4090/5005] Time 0.196 (0.210) Data 0.045 (0.047) Loss 2.2592 (2.2540) Prec@1 50.000 (48.311) Prec@5 73.047 (73.478)
Epoch: [83][4100/5005] Time 0.209 (0.210) Data 0.045 (0.047) Loss 2.1321 (2.2540) Prec@1 47.266 (48.309) Prec@5 75.391 (73.477)
Epoch: [83][4110/5005] Time 0.204 (0.210) Data 0.049 (0.047) Loss 2.2425 (2.2540) Prec@1 46.484 (48.309) Prec@5 74.219 (73.476)
Epoch: [83][4120/5005] Time 0.211 (0.210) Data 0.042 (0.047) Loss 2.2514 (2.2540) Prec@1 50.781 (48.308) Prec@5 75.391 (73.477)
Epoch: [83][4130/5005] Time 0.217 (0.210) Data 0.043 (0.047) Loss 2.4912 (2.2540) Prec@1 40.625 (48.310) Prec@5 69.922 (73.477)
Epoch: [83][4140/5005] Time 0.203 (0.210) Data 0.045 (0.047) Loss 2.2567 (2.2540) Prec@1 47.266 (48.310) Prec@5 71.875 (73.477)
Epoch: [83][4150/5005] Time 0.204 (0.210) Data 0.046 (0.047) Loss 2.2805 (2.2540) Prec@1 50.781 (48.311) Prec@5 73.047 (73.479)
Epoch: [83][4160/5005] Time 0.203 (0.210) Data 0.052 (0.047) Loss 2.0945 (2.2541) Prec@1 51.953 (48.310) Prec@5 77.734 (73.478)
Epoch: [83][4170/5005] Time 0.206 (0.210) Data 0.041 (0.047) Loss 2.1051 (2.2540) Prec@1 48.828 (48.313) Prec@5 77.344 (73.479)
Epoch: [83][4180/5005] Time 0.206 (0.210) Data 0.040 (0.047) Loss 2.1119 (2.2539) Prec@1 51.953 (48.312) Prec@5 73.828 (73.480)
Epoch: [83][4190/5005] Time 0.210 (0.209) Data 0.047 (0.047) Loss 2.0492 (2.2539) Prec@1 48.828 (48.310) Prec@5 78.516 (73.481)
Epoch: [83][4200/5005] Time 0.207 (0.209) Data 0.051 (0.047) Loss 2.0970 (2.2539) Prec@1 48.828 (48.308) Prec@5 77.734 (73.482)
Epoch: [83][4210/5005] Time 0.205 (0.209) Data 0.044 (0.047) Loss 2.0592 (2.2538) Prec@1 51.953 (48.309) Prec@5 77.344 (73.481)
Epoch: [83][4220/5005] Time 0.200 (0.209) Data 0.065 (0.047) Loss 2.3320 (2.2540) Prec@1 50.781 (48.303) Prec@5 71.094 (73.476)
Epoch: [83][4230/5005] Time 0.200 (0.209) Data 0.058 (0.047) Loss 2.3882 (2.2540) Prec@1 44.141 (48.303) Prec@5 73.047 (73.477)
Epoch: [83][4240/5005] Time 0.208 (0.209) Data 0.051 (0.047) Loss 2.0525 (2.2541) Prec@1 50.391 (48.299) Prec@5 75.391 (73.477)
Epoch: [83][4250/5005] Time 0.208 (0.209) Data 0.042 (0.047) Loss 2.1131 (2.2539) Prec@1 50.391 (48.300) Prec@5 74.609 (73.480)
Epoch: [83][4260/5005] Time 0.214 (0.209) Data 0.047 (0.047) Loss 2.1660 (2.2538) Prec@1 45.703 (48.300) Prec@5 75.000 (73.481)
Epoch: [83][4270/5005] Time 0.197 (0.209) Data 0.051 (0.047) Loss 2.3626 (2.2539) Prec@1 47.656 (48.300) Prec@5 72.266 (73.480)
Epoch: [83][4280/5005] Time 0.209 (0.209) Data 0.047 (0.047) Loss 2.3766 (2.2539) Prec@1 45.703 (48.300) Prec@5 73.828 (73.480)
Epoch: [83][4290/5005] Time 0.207 (0.209) Data 0.044 (0.047) Loss 2.3422 (2.2540) Prec@1 48.047 (48.300) Prec@5 69.922 (73.478)
Epoch: [83][4300/5005] Time 0.208 (0.209) Data 0.050 (0.047) Loss 2.0554 (2.2538) Prec@1 51.562 (48.302) Prec@5 77.734 (73.482)
Epoch: [83][4310/5005] Time 0.208 (0.209) Data 0.042 (0.047) Loss 2.1739 (2.2537) Prec@1 50.391 (48.305) Prec@5 75.781 (73.482)
Epoch: [83][4320/5005] Time 0.211 (0.209) Data 0.045 (0.047) Loss 2.2126 (2.2538) Prec@1 50.000 (48.306) Prec@5 74.219 (73.480)
Epoch: [83][4330/5005] Time 0.202 (0.209) Data 0.042 (0.047) Loss 2.1735 (2.2537) Prec@1 50.391 (48.307) Prec@5 75.000 (73.483)
Epoch: [83][4340/5005] Time 0.211 (0.209) Data 0.041 (0.047) Loss 2.2110 (2.2538) Prec@1 48.438 (48.304) Prec@5 71.875 (73.482)
Epoch: [83][4350/5005] Time 0.207 (0.209) Data 0.048 (0.047) Loss 2.2672 (2.2537) Prec@1 49.609 (48.308) Prec@5 74.609 (73.484)
Epoch: [83][4360/5005] Time 0.205 (0.209) Data 0.050 (0.047) Loss 2.1090 (2.2536) Prec@1 47.266 (48.307) Prec@5 74.219 (73.488)
Epoch: [83][4370/5005] Time 0.206 (0.209) Data 0.047 (0.047) Loss 2.2458 (2.2536) Prec@1 45.312 (48.308) Prec@5 71.875 (73.486)
Epoch: [83][4380/5005] Time 0.208 (0.209) Data 0.041 (0.047) Loss 2.4948 (2.2537) Prec@1 44.141 (48.305) Prec@5 66.797 (73.485)
Epoch: [83][4390/5005] Time 0.201 (0.209) Data 0.043 (0.047) Loss 2.3902 (2.2535) Prec@1 48.438 (48.311) Prec@5 71.484 (73.489)
Epoch: [83][4400/5005] Time 0.194 (0.209) Data 0.051 (0.047) Loss 2.1853 (2.2534) Prec@1 46.875 (48.309) Prec@5 74.219 (73.488)
Epoch: [83][4410/5005] Time 0.195 (0.209) Data 0.042 (0.047) Loss 2.2861 (2.2534) Prec@1 46.094 (48.310) Prec@5 76.172 (73.489)
Epoch: [83][4420/5005] Time 0.209 (0.209) Data 0.054 (0.047) Loss 1.9395 (2.2532) Prec@1 53.516 (48.312) Prec@5 78.516 (73.492)
Epoch: [83][4430/5005] Time 0.202 (0.209) Data 0.065 (0.047) Loss 2.1968 (2.2530) Prec@1 48.438 (48.317) Prec@5 73.828 (73.495)
Epoch: [83][4440/5005] Time 0.204 (0.209) Data 0.054 (0.047) Loss 2.4746 (2.2531) Prec@1 47.266 (48.318) Prec@5 70.312 (73.494)
Epoch: [83][4450/5005] Time 0.198 (0.209) Data 0.061 (0.047) Loss 2.0732 (2.2531) Prec@1 50.000 (48.316) Prec@5 76.953 (73.491)
Epoch: [83][4460/5005] Time 0.194 (0.209) Data 0.050 (0.047) Loss 2.3756 (2.2530) Prec@1 49.219 (48.316) Prec@5 71.094 (73.495)
Epoch: [83][4470/5005] Time 0.212 (0.209) Data 0.047 (0.047) Loss 2.1765 (2.2531) Prec@1 51.172 (48.316) Prec@5 75.000 (73.495)
Epoch: [83][4480/5005] Time 0.210 (0.209) Data 0.044 (0.047) Loss 2.1950 (2.2532) Prec@1 50.000 (48.314) Prec@5 74.609 (73.492)
Epoch: [83][4490/5005] Time 0.204 (0.209) Data 0.041 (0.047) Loss 2.2564 (2.2533) Prec@1 48.047 (48.313) Prec@5 73.438 (73.490)
Epoch: [83][4500/5005] Time 0.214 (0.209) Data 0.046 (0.047) Loss 2.0958 (2.2532) Prec@1 48.828 (48.315) Prec@5 78.125 (73.493)
Epoch: [83][4510/5005] Time 0.212 (0.209) Data 0.042 (0.047) Loss 1.9867 (2.2532) Prec@1 53.516 (48.312) Prec@5 77.344 (73.491)
Epoch: [83][4520/5005] Time 0.210 (0.209) Data 0.043 (0.047) Loss 2.2206 (2.2531) Prec@1 49.219 (48.314) Prec@5 74.609 (73.493)
Epoch: [83][4530/5005] Time 0.209 (0.209) Data 0.041 (0.047) Loss 2.0649 (2.2530) Prec@1 52.344 (48.316) Prec@5 77.734 (73.493)
Epoch: [83][4540/5005] Time 0.211 (0.209) Data 0.044 (0.047) Loss 2.3276 (2.2531) Prec@1 49.219 (48.317) Prec@5 74.609 (73.493)
Epoch: [83][4550/5005] Time 0.199 (0.209) Data 0.048 (0.047) Loss 2.2910 (2.2530) Prec@1 49.609 (48.319) Prec@5 69.141 (73.493)
Epoch: [83][4560/5005] Time 0.211 (0.209) Data 0.048 (0.047) Loss 2.2747 (2.2530) Prec@1 49.609 (48.322) Prec@5 75.781 (73.494)
Epoch: [83][4570/5005] Time 0.210 (0.209) Data 0.051 (0.047) Loss 2.3399 (2.2529) Prec@1 48.828 (48.325) Prec@5 69.922 (73.495)
Epoch: [83][4580/5005] Time 0.207 (0.209) Data 0.051 (0.047) Loss 2.4254 (2.2529) Prec@1 44.922 (48.323) Prec@5 70.703 (73.495)
Epoch: [83][4590/5005] Time 0.195 (0.209) Data 0.045 (0.047) Loss 2.1066 (2.2530) Prec@1 52.734 (48.324) Prec@5 76.953 (73.494)
Epoch: [83][4600/5005] Time 0.206 (0.209) Data 0.042 (0.047) Loss 2.0666 (2.2530) Prec@1 52.344 (48.322) Prec@5 78.516 (73.493)
Epoch: [83][4610/5005] Time 0.195 (0.209) Data 0.044 (0.047) Loss 2.0133 (2.2529) Prec@1 52.344 (48.325) Prec@5 75.391 (73.494)
Epoch: [83][4620/5005] Time 0.202 (0.209) Data 0.049 (0.047) Loss 2.1537 (2.2529) Prec@1 50.781 (48.325) Prec@5 75.391 (73.493)
Epoch: [83][4630/5005] Time 0.204 (0.209) Data 0.044 (0.047) Loss 2.0599 (2.2528) Prec@1 52.344 (48.327) Prec@5 76.953 (73.494)
Epoch: [83][4640/5005] Time 0.211 (0.209) Data 0.044 (0.047) Loss 2.1978 (2.2527) Prec@1 50.000 (48.329) Prec@5 74.609 (73.496)
Epoch: [83][4650/5005] Time 0.209 (0.209) Data 0.043 (0.047) Loss 2.2007 (2.2525) Prec@1 47.266 (48.333) Prec@5 75.781 (73.499)
Epoch: [83][4660/5005] Time 0.211 (0.209) Data 0.041 (0.047) Loss 2.4718 (2.2525) Prec@1 44.141 (48.335) Prec@5 67.188 (73.499)
Epoch: [83][4670/5005] Time 0.202 (0.209) Data 0.061 (0.047) Loss 2.0724 (2.2523) Prec@1 50.000 (48.337) Prec@5 74.219 (73.501)
Epoch: [83][4680/5005] Time 0.205 (0.209) Data 0.048 (0.047) Loss 2.1797 (2.2523) Prec@1 48.438 (48.337) Prec@5 79.297 (73.501)
Epoch: [83][4690/5005] Time 0.202 (0.209) Data 0.047 (0.047) Loss 2.2011 (2.2523) Prec@1 50.391 (48.337) Prec@5 76.172 (73.501)
Epoch: [83][4700/5005] Time 0.198 (0.209) Data 0.051 (0.047) Loss 2.1662 (2.2523) Prec@1 47.656 (48.337) Prec@5 72.656 (73.503)
Epoch: [83][4710/5005] Time 0.195 (0.209) Data 0.048 (0.047) Loss 2.1200 (2.2521) Prec@1 52.344 (48.340) Prec@5 76.562 (73.507)
Epoch: [83][4720/5005] Time 0.208 (0.209) Data 0.042 (0.047) Loss 2.0211 (2.2520) Prec@1 54.297 (48.341) Prec@5 79.297 (73.508)
Epoch: [83][4730/5005] Time 0.193 (0.209) Data 0.043 (0.047) Loss 2.2632 (2.2521) Prec@1 50.000 (48.341) Prec@5 74.219 (73.509)
Epoch: [83][4740/5005] Time 0.201 (0.209) Data 0.039 (0.047) Loss 2.1230 (2.2520) Prec@1 46.484 (48.343) Prec@5 76.172 (73.513)
Epoch: [83][4750/5005] Time 0.199 (0.209) Data 0.050 (0.047) Loss 2.0583 (2.2520) Prec@1 53.906 (48.344) Prec@5 75.000 (73.514)
Epoch: [83][4760/5005] Time 0.213 (0.209) Data 0.046 (0.047) Loss 2.5602 (2.2519) Prec@1 44.141 (48.345) Prec@5 66.016 (73.514)
Epoch: [83][4770/5005] Time 0.204 (0.209) Data 0.046 (0.047) Loss 2.1951 (2.2518) Prec@1 53.125 (48.347) Prec@5 78.125 (73.517)
Epoch: [83][4780/5005] Time 0.203 (0.209) Data 0.054 (0.047) Loss 2.2616 (2.2518) Prec@1 48.438 (48.346) Prec@5 72.266 (73.518)
Epoch: [83][4790/5005] Time 0.209 (0.209) Data 0.045 (0.047) Loss 2.5298 (2.2519) Prec@1 43.359 (48.347) Prec@5 69.531 (73.516)
Epoch: [83][4800/5005] Time 0.205 (0.209) Data 0.059 (0.047) Loss 2.4350 (2.2518) Prec@1 40.625 (48.344) Prec@5 70.703 (73.518)
Epoch: [83][4810/5005] Time 0.210 (0.209) Data 0.044 (0.047) Loss 2.3706 (2.2517) Prec@1 45.703 (48.345) Prec@5 70.703 (73.521)
Epoch: [83][4820/5005] Time 0.211 (0.209) Data 0.041 (0.047) Loss 2.4652 (2.2517) Prec@1 47.266 (48.347) Prec@5 69.141 (73.522)
Epoch: [83][4830/5005] Time 0.205 (0.209) Data 0.046 (0.047) Loss 2.2653 (2.2515) Prec@1 48.438 (48.351) Prec@5 73.438 (73.523)
Epoch: [83][4840/5005] Time 0.205 (0.209) Data 0.040 (0.047) Loss 1.9980 (2.2515) Prec@1 50.781 (48.350) Prec@5 77.344 (73.523)
Epoch: [83][4850/5005] Time 0.209 (0.209) Data 0.042 (0.047) Loss 2.2192 (2.2516) Prec@1 48.047 (48.347) Prec@5 71.484 (73.519)
Epoch: [83][4860/5005] Time 0.221 (0.209) Data 0.046 (0.047) Loss 2.1944 (2.2516) Prec@1 48.047 (48.345) Prec@5 75.391 (73.517)
Epoch: [83][4870/5005] Time 0.205 (0.209) Data 0.060 (0.047) Loss 2.1643 (2.2516) Prec@1 48.438 (48.345) Prec@5 72.266 (73.514)
Epoch: [83][4880/5005] Time 0.205 (0.209) Data 0.046 (0.047) Loss 2.2097 (2.2516) Prec@1 49.609 (48.345) Prec@5 72.656 (73.517)
Epoch: [83][4890/5005] Time 0.209 (0.209) Data 0.047 (0.047) Loss 2.4142 (2.2516) Prec@1 44.141 (48.345) Prec@5 71.094 (73.518)
Epoch: [83][4900/5005] Time 0.194 (0.209) Data 0.046 (0.047) Loss 2.0922 (2.2515) Prec@1 50.391 (48.345) Prec@5 76.172 (73.521)
Epoch: [83][4910/5005] Time 0.194 (0.209) Data 0.057 (0.047) Loss 2.2438 (2.2512) Prec@1 49.219 (48.349) Prec@5 74.609 (73.527)
Epoch: [83][4920/5005] Time 0.202 (0.209) Data 0.054 (0.047) Loss 2.1275 (2.2512) Prec@1 49.609 (48.350) Prec@5 72.656 (73.526)
Epoch: [83][4930/5005] Time 0.194 (0.209) Data 0.058 (0.047) Loss 2.3856 (2.2510) Prec@1 47.266 (48.354) Prec@5 71.484 (73.528)
Epoch: [83][4940/5005] Time 0.205 (0.209) Data 0.057 (0.047) Loss 2.1451 (2.2511) Prec@1 46.875 (48.353) Prec@5 72.656 (73.526)
Epoch: [83][4950/5005] Time 0.212 (0.209) Data 0.041 (0.047) Loss 2.1110 (2.2512) Prec@1 49.219 (48.353) Prec@5 76.562 (73.525)
Epoch: [83][4960/5005] Time 0.206 (0.209) Data 0.040 (0.047) Loss 2.3812 (2.2511) Prec@1 45.703 (48.355) Prec@5 73.047 (73.526)
Epoch: [83][4970/5005] Time 0.205 (0.209) Data 0.050 (0.047) Loss 2.3883 (2.2510) Prec@1 46.484 (48.358) Prec@5 71.484 (73.528)
Epoch: [83][4980/5005] Time 0.210 (0.209) Data 0.042 (0.047) Loss 2.1585 (2.2509) Prec@1 52.344 (48.360) Prec@5 75.391 (73.531)
Epoch: [83][4990/5005] Time 0.198 (0.209) Data 0.029 (0.047) Loss 2.3180 (2.2509) Prec@1 44.141 (48.362) Prec@5 73.438 (73.532)
Epoch: [83][5000/5005] Time 0.207 (0.209) Data 0.021 (0.047) Loss 2.3003 (2.2509) Prec@1 48.047 (48.361) Prec@5 72.656 (73.532)
Test: [0/196] Time 1.699 (1.699) Loss 2.4102 (2.4102) Prec@1 49.609 (49.609) Prec@5 70.312 (70.312)
Test: [10/196] Time 0.042 (0.328) Loss 2.3962 (2.5400) Prec@1 46.094 (44.247) Prec@5 71.484 (69.496)
Test: [20/196] Time 0.043 (0.241) Loss 2.4667 (2.5453) Prec@1 46.484 (43.973) Prec@5 71.094 (69.010)
Test: [30/196] Time 0.186 (0.212) Loss 2.4619 (2.5504) Prec@1 41.406 (43.700) Prec@5 69.531 (68.889)
Test: [40/196] Time 0.545 (0.210) Loss 2.2530 (2.5480) Prec@1 51.953 (44.007) Prec@5 75.000 (69.198)
Test: [50/196] Time 0.046 (0.205) Loss 2.6096 (2.5488) Prec@1 46.094 (44.072) Prec@5 71.484 (69.355)
Test: [60/196] Time 0.202 (0.197) Loss 2.4685 (2.5352) Prec@1 46.094 (44.211) Prec@5 69.531 (69.589)
Test: [70/196] Time 0.044 (0.189) Loss 2.4396 (2.5275) Prec@1 45.312 (44.278) Prec@5 69.141 (69.685)
Test: [80/196] Time 0.048 (0.190) Loss 2.4216 (2.5351) Prec@1 52.734 (44.353) Prec@5 75.000 (69.579)
Test: [90/196] Time 0.043 (0.185) Loss 2.6410 (2.5386) Prec@1 48.828 (44.364) Prec@5 67.188 (69.514)
Test: [100/196] Time 0.044 (0.184) Loss 2.5998 (2.5368) Prec@1 46.875 (44.562) Prec@5 68.359 (69.566)
Test: [110/196] Time 0.051 (0.184) Loss 2.7089 (2.5386) Prec@1 42.578 (44.545) Prec@5 64.453 (69.559)
Test: [120/196] Time 0.228 (0.183) Loss 2.4021 (2.5352) Prec@1 44.922 (44.560) Prec@5 72.656 (69.599)
Test: [130/196] Time 0.102 (0.183) Loss 2.2568 (2.5314) Prec@1 47.656 (44.642) Prec@5 74.609 (69.627)
Test: [140/196] Time 0.398 (0.183) Loss 2.3573 (2.5326) Prec@1 50.000 (44.664) Prec@5 70.703 (69.545)
Test: [150/196] Time 0.695 (0.185) Loss 2.2037 (2.5323) Prec@1 46.484 (44.637) Prec@5 79.297 (69.578)
Test: [160/196] Time 0.234 (0.181) Loss 2.4554 (2.5309) Prec@1 51.172 (44.638) Prec@5 71.094 (69.602)
Test: [170/196] Time 0.059 (0.179) Loss 2.3952 (2.5322) Prec@1 46.484 (44.645) Prec@5 74.219 (69.572)
Test: [180/196] Time 0.052 (0.182) Loss 2.6919 (2.5365) Prec@1 39.453 (44.557) Prec@5 66.797 (69.482)
Test: [190/196] Time 0.044 (0.181) Loss 2.7254 (2.5394) Prec@1 43.359 (44.556) Prec@5 65.234 (69.357)
* Prec@1 44.530 Prec@5 69.376
Learning rate: 1e-06
Epoch: [84][0/5005] Time 1.132 (1.132) Data 1.023 (1.023) Loss 2.2535 (2.2535) Prec@1 48.828 (48.828) Prec@5 75.781 (75.781)
Epoch: [84][10/5005] Time 0.201 (0.285) Data 0.050 (0.139) Loss 2.2015 (2.2875) Prec@1 53.125 (48.260) Prec@5 74.219 (73.686)
Epoch: [84][20/5005] Time 0.193 (0.246) Data 0.045 (0.094) Loss 2.5121 (2.2907) Prec@1 44.531 (48.028) Prec@5 69.922 (72.954)
Epoch: [84][30/5005] Time 0.200 (0.232) Data 0.045 (0.081) Loss 2.2388 (2.2736) Prec@1 46.875 (48.047) Prec@5 74.609 (73.248)
Epoch: [84][40/5005] Time 0.197 (0.225) Data 0.051 (0.073) Loss 2.1833 (2.2808) Prec@1 51.953 (47.990) Prec@5 73.438 (73.142)
Epoch: [84][50/5005] Time 0.208 (0.221) Data 0.042 (0.070) Loss 2.1039 (2.2854) Prec@1 48.828 (47.840) Prec@5 78.516 (73.185)
Epoch: [84][60/5005] Time 0.202 (0.218) Data 0.048 (0.066) Loss 2.2807 (2.2918) Prec@1 44.141 (47.586) Prec@5 73.828 (72.957)
Epoch: [84][70/5005] Time 0.206 (0.216) Data 0.044 (0.063) Loss 2.4379 (2.3026) Prec@1 41.797 (47.442) Prec@5 71.094 (72.772)
Epoch: [84][80/5005] Time 0.202 (0.214) Data 0.037 (0.061) Loss 2.1517 (2.2993) Prec@1 55.078 (47.521) Prec@5 76.562 (72.907)
Epoch: [84][90/5005] Time 0.197 (0.213) Data 0.047 (0.060) Loss 2.3889 (2.3013) Prec@1 48.438 (47.588) Prec@5 74.609 (72.806)
Epoch: [84][100/5005] Time 0.208 (0.212) Data 0.044 (0.059) Loss 2.1666 (2.3038) Prec@1 48.438 (47.490) Prec@5 73.828 (72.645)
Epoch: [84][110/5005] Time 0.207 (0.211) Data 0.045 (0.058) Loss 2.2330 (2.3019) Prec@1 53.516 (47.635) Prec@5 74.609 (72.741)
Epoch: [84][120/5005] Time 0.196 (0.210) Data 0.044 (0.057) Loss 2.5281 (2.3063) Prec@1 41.406 (47.608) Prec@5 70.703 (72.659)
Epoch: [84][130/5005] Time 0.199 (0.209) Data 0.058 (0.056) Loss 2.2370 (2.3056) Prec@1 52.734 (47.677) Prec@5 71.094 (72.674)
Epoch: [84][140/5005] Time 0.210 (0.209) Data 0.043 (0.055) Loss 2.3212 (2.3024) Prec@1 44.922 (47.698) Prec@5 74.609 (72.750)
Epoch: [84][150/5005] Time 0.214 (0.209) Data 0.045 (0.054) Loss 2.4461 (2.3027) Prec@1 44.922 (47.581) Prec@5 69.531 (72.744)
Epoch: [84][160/5005] Time 0.210 (0.209) Data 0.049 (0.054) Loss 2.1124 (2.3028) Prec@1 48.828 (47.581) Prec@5 74.609 (72.761)
Epoch: [84][170/5005] Time 0.217 (0.209) Data 0.043 (0.054) Loss 2.3336 (2.3053) Prec@1 47.656 (47.510) Prec@5 72.656 (72.736)
Epoch: [84][180/5005] Time 0.217 (0.210) Data 0.049 (0.053) Loss 2.4882 (2.3067) Prec@1 47.266 (47.468) Prec@5 68.359 (72.693)
Epoch: [84][190/5005] Time 0.218 (0.210) Data 0.054 (0.053) Loss 2.4026 (2.3132) Prec@1 44.922 (47.276) Prec@5 71.094 (72.589)
Epoch: [84][200/5005] Time 0.212 (0.210) Data 0.047 (0.053) Loss 2.4921 (2.3146) Prec@1 41.797 (47.209) Prec@5 73.047 (72.573)
Epoch: [84][210/5005] Time 0.226 (0.211) Data 0.046 (0.053) Loss 2.1988 (2.3147) Prec@1 51.172 (47.219) Prec@5 71.484 (72.534)
Epoch: [84][220/5005] Time 0.214 (0.211) Data 0.047 (0.053) Loss 2.3044 (2.3137) Prec@1 45.703 (47.229) Prec@5 75.000 (72.543)
Epoch: [84][230/5005] Time 0.224 (0.212) Data 0.043 (0.052) Loss 2.3378 (2.3139) Prec@1 44.531 (47.257) Prec@5 73.828 (72.543)
Epoch: [84][240/5005] Time 0.220 (0.212) Data 0.044 (0.052) Loss 2.1347 (2.3130) Prec@1 51.562 (47.232) Prec@5 76.953 (72.556)
Epoch: [84][250/5005] Time 0.220 (0.212) Data 0.044 (0.052) Loss 2.3450 (2.3107) Prec@1 48.828 (47.287) Prec@5 75.000 (72.627)
Epoch: [84][260/5005] Time 0.220 (0.212) Data 0.049 (0.052) Loss 2.0796 (2.3098) Prec@1 52.734 (47.303) Prec@5 74.219 (72.616)
Epoch: [84][270/5005] Time 0.219 (0.213) Data 0.043 (0.052) Loss 2.3136 (2.3089) Prec@1 47.266 (47.276) Prec@5 73.828 (72.639)
Epoch: [84][280/5005] Time 0.222 (0.213) Data 0.042 (0.052) Loss 2.8600 (2.3116) Prec@1 41.406 (47.256) Prec@5 62.500 (72.576)
Epoch: [84][290/5005] Time 0.221 (0.213) Data 0.046 (0.051) Loss 2.1186 (2.3128) Prec@1 51.953 (47.221) Prec@5 72.656 (72.546)
Epoch: [84][300/5005] Time 0.219 (0.213) Data 0.046 (0.051) Loss 2.1283 (2.3130) Prec@1 49.609 (47.232) Prec@5 76.953 (72.542)
Epoch: [84][310/5005] Time 0.211 (0.213) Data 0.050 (0.051) Loss 2.1457 (2.3093) Prec@1 49.219 (47.295) Prec@5 75.391 (72.602)
Epoch: [84][320/5005] Time 0.222 (0.213) Data 0.046 (0.051) Loss 2.4096 (2.3102) Prec@1 41.406 (47.295) Prec@5 73.828 (72.611)
Epoch: [84][330/5005] Time 0.222 (0.213) Data 0.044 (0.051) Loss 2.1298 (2.3085) Prec@1 51.562 (47.318) Prec@5 75.391 (72.646)
Epoch: [84][340/5005] Time 0.220 (0.214) Data 0.044 (0.051) Loss 2.4728 (2.3126) Prec@1 47.656 (47.285) Prec@5 70.312 (72.578)
Epoch: [84][350/5005] Time 0.211 (0.214) Data 0.042 (0.051) Loss 2.5980 (2.3126) Prec@1 44.531 (47.310) Prec@5 66.406 (72.585)
Epoch: [84][360/5005] Time 0.218 (0.214) Data 0.064 (0.050) Loss 2.3676 (2.3123) Prec@1 43.750 (47.281) Prec@5 71.484 (72.565)
Epoch: [84][370/5005] Time 0.221 (0.214) Data 0.051 (0.050) Loss 2.3904 (2.3114) Prec@1 43.359 (47.307) Prec@5 69.531 (72.568)
Epoch: [84][380/5005] Time 0.205 (0.214) Data 0.046 (0.050) Loss 2.4745 (2.3117) Prec@1 46.484 (47.311) Prec@5 68.750 (72.563)
Epoch: [84][390/5005] Time 0.217 (0.214) Data 0.045 (0.050) Loss 2.2932 (2.3120) Prec@1 48.047 (47.321) Prec@5 72.656 (72.542)
Epoch: [84][400/5005] Time 0.215 (0.214) Data 0.043 (0.050) Loss 2.1823 (2.3112) Prec@1 47.656 (47.304) Prec@5 76.953 (72.570)
Epoch: [84][410/5005] Time 0.213 (0.214) Data 0.062 (0.050) Loss 2.0929 (2.3099) Prec@1 48.828 (47.321) Prec@5 76.953 (72.583)
Epoch: [84][420/5005] Time 0.213 (0.214) Data 0.044 (0.050) Loss 2.1136 (2.3084) Prec@1 54.297 (47.340) Prec@5 76.953 (72.614)
Epoch: [84][430/5005] Time 0.210 (0.214) Data 0.043 (0.050) Loss 2.2316 (2.3088) Prec@1 50.000 (47.325) Prec@5 74.609 (72.604)
Epoch: [84][440/5005] Time 0.225 (0.214) Data 0.046 (0.050) Loss 2.2464 (2.3086) Prec@1 47.266 (47.302) Prec@5 75.391 (72.629)
Epoch: [84][450/5005] Time 0.220 (0.214) Data 0.050 (0.050) Loss 2.2072 (2.3100) Prec@1 46.094 (47.253) Prec@5 73.828 (72.588)
Epoch: [84][460/5005] Time 0.218 (0.214) Data 0.043 (0.050) Loss 2.3124 (2.3100) Prec@1 46.094 (47.242) Prec@5 71.094 (72.600)
Epoch: [84][470/5005] Time 0.203 (0.214) Data 0.048 (0.050) Loss 2.2365 (2.3104) Prec@1 43.359 (47.242) Prec@5 75.000 (72.601)
Epoch: [84][480/5005] Time 0.218 (0.214) Data 0.044 (0.050) Loss 2.2420 (2.3103) Prec@1 48.438 (47.265) Prec@5 75.391 (72.596)
Epoch: [84][490/5005] Time 0.220 (0.214) Data 0.043 (0.050) Loss 2.2571 (2.3109) Prec@1 50.000 (47.242) Prec@5 71.875 (72.563)
Epoch: [84][500/5005] Time 0.217 (0.214) Data 0.042 (0.050) Loss 2.4267 (2.3132) Prec@1 46.484 (47.215) Prec@5 69.141 (72.518)
Epoch: [84][510/5005] Time 0.219 (0.214) Data 0.044 (0.050) Loss 2.6421 (2.3136) Prec@1 44.922 (47.222) Prec@5 66.406 (72.506)
Epoch: [84][520/5005] Time 0.215 (0.214) Data 0.044 (0.050) Loss 2.3344 (2.3135) Prec@1 46.484 (47.216) Prec@5 69.531 (72.497)
Epoch: [84][530/5005] Time 0.206 (0.214) Data 0.062 (0.049) Loss 2.2329 (2.3137) Prec@1 50.781 (47.207) Prec@5 72.656 (72.494)
Epoch: [84][540/5005] Time 0.212 (0.214) Data 0.053 (0.049) Loss 2.4440 (2.3145) Prec@1 43.750 (47.183) Prec@5 68.359 (72.476)
Epoch: [84][550/5005] Time 0.217 (0.214) Data 0.049 (0.049) Loss 2.3321 (2.3141) Prec@1 45.312 (47.206) Prec@5 75.391 (72.472)
Epoch: [84][560/5005] Time 0.208 (0.214) Data 0.050 (0.049) Loss 2.4600 (2.3142) Prec@1 45.312 (47.205) Prec@5 70.703 (72.479)
Epoch: [84][570/5005] Time 0.212 (0.214) Data 0.043 (0.049) Loss 2.5339 (2.3153) Prec@1 44.141 (47.203) Prec@5 67.969 (72.458)
Epoch: [84][580/5005] Time 0.224 (0.214) Data 0.061 (0.049) Loss 2.4201 (2.3145) Prec@1 43.359 (47.210) Prec@5 71.094 (72.485)
Epoch: [84][590/5005] Time 0.215 (0.214) Data 0.060 (0.050) Loss 2.4889 (2.3140) Prec@1 43.750 (47.226) Prec@5 69.531 (72.492)
Epoch: [84][600/5005] Time 0.213 (0.214) Data 0.047 (0.050) Loss 2.1703 (2.3148) Prec@1 53.516 (47.214) Prec@5 76.953 (72.490)
Epoch: [84][610/5005] Time 0.219 (0.214) Data 0.049 (0.050) Loss 2.2663 (2.3151) Prec@1 46.484 (47.204) Prec@5 72.266 (72.478)
Epoch: [84][620/5005] Time 0.216 (0.214) Data 0.055 (0.050) Loss 2.3275 (2.3138) Prec@1 48.828 (47.239) Prec@5 71.484 (72.518)
Epoch: [84][630/5005] Time 0.206 (0.214) Data 0.050 (0.050) Loss 2.4639 (2.3131) Prec@1 46.875 (47.254) Prec@5 73.047 (72.547)
Epoch: [84][640/5005] Time 0.216 (0.214) Data 0.044 (0.050) Loss 2.2706 (2.3133) Prec@1 47.266 (47.244) Prec@5 73.438 (72.550)
Epoch: [84][650/5005] Time 0.203 (0.214) Data 0.051 (0.050) Loss 2.4423 (2.3143) Prec@1 41.797 (47.218) Prec@5 68.359 (72.520)
Epoch: [84][660/5005] Time 0.214 (0.214) Data 0.043 (0.050) Loss 2.4179 (2.3132) Prec@1 43.750 (47.238) Prec@5 73.047 (72.545)
Epoch: [84][670/5005] Time 0.213 (0.214) Data 0.043 (0.050) Loss 2.4551 (2.3130) Prec@1 45.312 (47.243) Prec@5 70.703 (72.549)
Epoch: [84][680/5005] Time 0.212 (0.214) Data 0.044 (0.050) Loss 2.2179 (2.3129) Prec@1 49.609 (47.249) Prec@5 75.391 (72.562)
Epoch: [84][690/5005] Time 0.211 (0.214) Data 0.048 (0.050) Loss 2.0999 (2.3122) Prec@1 51.953 (47.264) Prec@5 76.562 (72.578)
Epoch: [84][700/5005] Time 0.223 (0.214) Data 0.044 (0.050) Loss 2.3273 (2.3119) Prec@1 44.141 (47.261) Prec@5 67.578 (72.574)
Epoch: [84][710/5005] Time 0.209 (0.214) Data 0.048 (0.050) Loss 2.1419 (2.3118) Prec@1 49.219 (47.258) Prec@5 71.875 (72.572)
Epoch: [84][720/5005] Time 0.204 (0.214) Data 0.046 (0.050) Loss 2.2376 (2.3106) Prec@1 44.922 (47.272) Prec@5 72.656 (72.585)
Epoch: [84][730/5005] Time 0.215 (0.214) Data 0.044 (0.049) Loss 2.3754 (2.3110) Prec@1 47.656 (47.283) Prec@5 71.094 (72.577)
Epoch: [84][740/5005] Time 0.216 (0.214) Data 0.044 (0.049) Loss 2.4427 (2.3109) Prec@1 48.047 (47.289) Prec@5 71.094 (72.565)
Epoch: [84][750/5005] Time 0.212 (0.214) Data 0.044 (0.049) Loss 2.1451 (2.3106) Prec@1 48.438 (47.280) Prec@5 75.391 (72.583)
Epoch: [84][760/5005] Time 0.219 (0.214) Data 0.043 (0.049) Loss 2.3816 (2.3108) Prec@1 43.359 (47.268) Prec@5 73.438 (72.586)
Epoch: [84][770/5005] Time 0.221 (0.214) Data 0.045 (0.049) Loss 2.2149 (2.3097) Prec@1 47.266 (47.282) Prec@5 76.953 (72.622)
Epoch: [84][780/5005] Time 0.215 (0.214) Data 0.045 (0.049) Loss 2.3741 (2.3092) Prec@1 47.656 (47.293) Prec@5 71.875 (72.630)
Epoch: [84][790/5005] Time 0.211 (0.214) Data 0.061 (0.049) Loss 2.3748 (2.3091) Prec@1 46.094 (47.290) Prec@5 71.484 (72.623)
Epoch: [84][800/5005] Time 0.212 (0.214) Data 0.053 (0.049) Loss 2.2920 (2.3085) Prec@1 47.656 (47.310) Prec@5 71.094 (72.628)
Epoch: [84][810/5005] Time 0.215 (0.214) Data 0.047 (0.049) Loss 2.4003 (2.3086) Prec@1 46.875 (47.324) Prec@5 70.312 (72.634)
Epoch: [84][820/5005] Time 0.213 (0.214) Data 0.041 (0.049) Loss 2.3824 (2.3089) Prec@1 43.750 (47.324) Prec@5 71.484 (72.632)
Epoch: [84][830/5005] Time 0.206 (0.214) Data 0.058 (0.049) Loss 2.3844 (2.3092) Prec@1 45.703 (47.320) Prec@5 69.531 (72.627)
Epoch: [84][840/5005] Time 0.220 (0.214) Data 0.045 (0.049) Loss 2.2443 (2.3095) Prec@1 50.000 (47.321) Prec@5 72.266 (72.624)
Epoch: [84][850/5005] Time 0.218 (0.214) Data 0.044 (0.049) Loss 2.4820 (2.3093) Prec@1 42.188 (47.324) Prec@5 69.922 (72.620)
Epoch: [84][860/5005] Time 0.212 (0.214) Data 0.064 (0.049) Loss 2.2745 (2.3094) Prec@1 42.969 (47.318) Prec@5 73.047 (72.612)
Epoch: [84][870/5005] Time 0.214 (0.214) Data 0.043 (0.049) Loss 2.3349 (2.3087) Prec@1 42.969 (47.332) Prec@5 72.266 (72.620)
Epoch: [84][880/5005] Time 0.212 (0.214) Data 0.042 (0.049) Loss 2.2503 (2.3089) Prec@1 48.828 (47.326) Prec@5 74.219 (72.621)
Epoch: [84][890/5005] Time 0.218 (0.214) Data 0.044 (0.049) Loss 2.4866 (2.3087) Prec@1 42.969 (47.325) Prec@5 67.578 (72.619)
Epoch: [84][900/5005] Time 0.211 (0.214) Data 0.045 (0.049) Loss 2.1757 (2.3077) Prec@1 49.219 (47.339) Prec@5 75.781 (72.634)
Epoch: [84][910/5005] Time 0.213 (0.214) Data 0.044 (0.049) Loss 2.3565 (2.3076) Prec@1 44.922 (47.330) Prec@5 73.828 (72.628)
Epoch: [84][920/5005] Time 0.212 (0.214) Data 0.044 (0.049) Loss 2.2808 (2.3074) Prec@1 49.609 (47.342) Prec@5 75.391 (72.633)
Epoch: [84][930/5005] Time 0.218 (0.214) Data 0.046 (0.049) Loss 2.3716 (2.3074) Prec@1 46.484 (47.339) Prec@5 69.531 (72.631)
Epoch: [84][940/5005] Time 0.213 (0.214) Data 0.045 (0.049) Loss 2.1494 (2.3077) Prec@1 50.000 (47.336) Prec@5 75.391 (72.626)
Epoch: [84][950/5005] Time 0.219 (0.214) Data 0.045 (0.049) Loss 2.4595 (2.3086) Prec@1 44.922 (47.324) Prec@5 72.656 (72.624)
Epoch: [84][960/5005] Time 0.213 (0.214) Data 0.045 (0.049) Loss 2.4688 (2.3088) Prec@1 42.969 (47.325) Prec@5 67.969 (72.629)
Epoch: [84][970/5005] Time 0.211 (0.214) Data 0.048 (0.049) Loss 2.2511 (2.3088) Prec@1 46.484 (47.316) Prec@5 73.828 (72.623)
Epoch: [84][980/5005] Time 0.214 (0.214) Data 0.048 (0.049) Loss 2.2846 (2.3082) Prec@1 46.484 (47.319) Prec@5 72.656 (72.628)
Epoch: [84][990/5005] Time 0.208 (0.214) Data 0.053 (0.049) Loss 2.3602 (2.3086) Prec@1 45.312 (47.313) Prec@5 72.656 (72.624)
Epoch: [84][1000/5005] Time 0.206 (0.214) Data 0.041 (0.049) Loss 2.2733 (2.3085) Prec@1 49.609 (47.317) Prec@5 73.047 (72.629)
Epoch: [84][1010/5005] Time 0.204 (0.214) Data 0.047 (0.049) Loss 2.2552 (2.3078) Prec@1 45.312 (47.321) Prec@5 73.828 (72.642)
Epoch: [84][1020/5005] Time 0.209 (0.214) Data 0.044 (0.049) Loss 2.2449 (2.3085) Prec@1 49.219 (47.310) Prec@5 71.484 (72.626)
Epoch: [84][1030/5005] Time 0.204 (0.214) Data 0.062 (0.049) Loss 2.2660 (2.3081) Prec@1 44.922 (47.311) Prec@5 72.266 (72.635)
Epoch: [84][1040/5005] Time 0.216 (0.214) Data 0.046 (0.049) Loss 2.3574 (2.3085) Prec@1 46.484 (47.303) Prec@5 73.438 (72.621)
Epoch: [84][1050/5005] Time 0.214 (0.213) Data 0.043 (0.049) Loss 2.4745 (2.3088) Prec@1 44.922 (47.292) Prec@5 69.922 (72.619)
Epoch: [84][1060/5005] Time 0.202 (0.213) Data 0.050 (0.049) Loss 2.3909 (2.3091) Prec@1 44.922 (47.283) Prec@5 71.094 (72.619)
Epoch: [84][1070/5005] Time 0.203 (0.213) Data 0.060 (0.049) Loss 2.3462 (2.3090) Prec@1 45.703 (47.281) Prec@5 71.094 (72.616)
Epoch: [84][1080/5005] Time 0.211 (0.213) Data 0.055 (0.049) Loss 2.1639 (2.3088) Prec@1 47.656 (47.278) Prec@5 74.609 (72.615)
Epoch: [84][1090/5005] Time 0.203 (0.213) Data 0.050 (0.049) Loss 2.1686 (2.3084) Prec@1 46.875 (47.271) Prec@5 74.219 (72.621)
Epoch: [84][1100/5005] Time 0.215 (0.213) Data 0.044 (0.049) Loss 2.2339 (2.3081) Prec@1 48.047 (47.271) Prec@5 73.047 (72.624)
Epoch: [84][1110/5005] Time 0.209 (0.213) Data 0.042 (0.049) Loss 2.3682 (2.3082) Prec@1 44.531 (47.272) Prec@5 71.094 (72.628)
Epoch: [84][1120/5005] Time 0.209 (0.213) Data 0.042 (0.049) Loss 2.2270 (2.3076) Prec@1 48.828 (47.275) Prec@5 73.047 (72.635)
Epoch: [84][1130/5005] Time 0.207 (0.213) Data 0.041 (0.049) Loss 2.4078 (2.3078) Prec@1 44.531 (47.279) Prec@5 73.828 (72.641)
Epoch: [84][1140/5005] Time 0.215 (0.213) Data 0.043 (0.049) Loss 2.3498 (2.3074) Prec@1 46.484 (47.284) Prec@5 73.438 (72.649)
Epoch: [84][1150/5005] Time 0.209 (0.213) Data 0.054 (0.049) Loss 2.3258 (2.3069) Prec@1 44.531 (47.285) Prec@5 73.438 (72.667)
Epoch: [84][1160/5005] Time 0.214 (0.213) Data 0.043 (0.049) Loss 2.3859 (2.3068) Prec@1 46.484 (47.290) Prec@5 71.875 (72.668)
Epoch: [84][1170/5005] Time 0.204 (0.213) Data 0.050 (0.049) Loss 2.2126 (2.3068) Prec@1 48.438 (47.279) Prec@5 75.781 (72.674)
Epoch: [84][1180/5005] Time 0.203 (0.213) Data 0.041 (0.049) Loss 2.4155 (2.3068) Prec@1 48.047 (47.265) Prec@5 71.484 (72.676)
Epoch: [84][1190/5005] Time 0.215 (0.213) Data 0.043 (0.049) Loss 2.1388 (2.3065) Prec@1 45.703 (47.266) Prec@5 73.047 (72.681)
Epoch: [84][1200/5005] Time 0.212 (0.213) Data 0.045 (0.049) Loss 2.4270 (2.3066) Prec@1 44.141 (47.262) Prec@5 71.484 (72.679)
Epoch: [84][1210/5005] Time 0.204 (0.213) Data 0.040 (0.049) Loss 2.2977 (2.3068) Prec@1 46.484 (47.259) Prec@5 75.000 (72.682)
Epoch: [84][1220/5005] Time 0.206 (0.213) Data 0.043 (0.049) Loss 2.3565 (2.3070) Prec@1 44.141 (47.251) Prec@5 75.000 (72.686)
Epoch: [84][1230/5005] Time 0.217 (0.213) Data 0.042 (0.048) Loss 2.3136 (2.3071) Prec@1 48.438 (47.246) Prec@5 71.094 (72.678)
Epoch: [84][1240/5005] Time 0.212 (0.213) Data 0.043 (0.048) Loss 2.3712 (2.3073) Prec@1 48.047 (47.241) Prec@5 70.703 (72.669)
Epoch: [84][1250/5005] Time 0.211 (0.213) Data 0.045 (0.048) Loss 2.6243 (2.3073) Prec@1 40.625 (47.235) Prec@5 67.188 (72.666)
Epoch: [84][1260/5005] Time 0.209 (0.213) Data 0.044 (0.048) Loss 2.0641 (2.3069) Prec@1 53.125 (47.242) Prec@5 76.172 (72.671)
Epoch: [84][1270/5005] Time 0.206 (0.213) Data 0.044 (0.048) Loss 2.2986 (2.3072) Prec@1 44.922 (47.240) Prec@5 70.703 (72.661)
Epoch: [84][1280/5005] Time 0.205 (0.213) Data 0.061 (0.048) Loss 2.3205 (2.3076) Prec@1 49.219 (47.236) Prec@5 73.828 (72.654)
Epoch: [84][1290/5005] Time 0.208 (0.213) Data 0.052 (0.048) Loss 2.0644 (2.3072) Prec@1 53.125 (47.247) Prec@5 76.172 (72.658)
Epoch: [84][1300/5005] Time 0.205 (0.213) Data 0.046 (0.048) Loss 2.1317 (2.3070) Prec@1 51.172 (47.250) Prec@5 72.656 (72.662)
Epoch: [84][1310/5005] Time 0.190 (0.213) Data 0.060 (0.048) Loss 2.4059 (2.3067) Prec@1 43.750 (47.251) Prec@5 71.484 (72.669)
Epoch: [84][1320/5005] Time 0.208 (0.213) Data 0.072 (0.048) Loss 2.5281 (2.3067) Prec@1 44.141 (47.258) Prec@5 69.922 (72.672)
Epoch: [84][1330/5005] Time 0.205 (0.213) Data 0.046 (0.048) Loss 2.5479 (2.3069) Prec@1 41.406 (47.250) Prec@5 66.406 (72.669)
Epoch: [84][1340/5005] Time 0.203 (0.213) Data 0.045 (0.049) Loss 2.1444 (2.3066) Prec@1 49.219 (47.257) Prec@5 75.000 (72.676)
Epoch: [84][1350/5005] Time 0.202 (0.213) Data 0.046 (0.048) Loss 2.7500 (2.3067) Prec@1 41.406 (47.259) Prec@5 67.188 (72.675)
Epoch: [84][1360/5005] Time 0.200 (0.213) Data 0.042 (0.048) Loss 2.1712 (2.3063) Prec@1 50.000 (47.267) Prec@5 76.562 (72.684)
Epoch: [84][1370/5005] Time 0.210 (0.213) Data 0.044 (0.048) Loss 2.3467 (2.3058) Prec@1 50.000 (47.274) Prec@5 74.219 (72.698)
Epoch: [84][1380/5005] Time 0.213 (0.213) Data 0.046 (0.048) Loss 2.1872 (2.3055) Prec@1 51.562 (47.288) Prec@5 75.781 (72.702)
Epoch: [84][1390/5005] Time 0.209 (0.213) Data 0.043 (0.048) Loss 2.2486 (2.3056) Prec@1 49.219 (47.288) Prec@5 75.391 (72.699)
Epoch: [84][1400/5005] Time 0.218 (0.213) Data 0.047 (0.048) Loss 2.2265 (2.3049) Prec@1 46.875 (47.295) Prec@5 74.609 (72.715)
Epoch: [84][1410/5005] Time 0.214 (0.213) Data 0.040 (0.048) Loss 2.3124 (2.3049) Prec@1 48.828 (47.301) Prec@5 73.047 (72.715)
Epoch: [84][1420/5005] Time 0.214 (0.213) Data 0.044 (0.048) Loss 2.6363 (2.3050) Prec@1 45.703 (47.296) Prec@5 66.016 (72.713)
Epoch: [84][1430/5005] Time 0.207 (0.213) Data 0.041 (0.048) Loss 2.0585 (2.3047) Prec@1 50.781 (47.303) Prec@5 75.391 (72.718)
Epoch: [84][1440/5005] Time 0.214 (0.213) Data 0.043 (0.048) Loss 1.9819 (2.3045) Prec@1 55.859 (47.307) Prec@5 77.344 (72.720)
Epoch: [84][1450/5005] Time 0.208 (0.213) Data 0.049 (0.048) Loss 2.2346 (2.3045) Prec@1 50.000 (47.308) Prec@5 70.703 (72.711)
Epoch: [84][1460/5005] Time 0.213 (0.213) Data 0.045 (0.048) Loss 2.2855 (2.3041) Prec@1 43.359 (47.316) Prec@5 73.438 (72.719)
Epoch: [84][1470/5005] Time 0.213 (0.213) Data 0.041 (0.048) Loss 2.3976 (2.3043) Prec@1 43.750 (47.308) Prec@5 71.094 (72.721)
Epoch: [84][1480/5005] Time 0.215 (0.213) Data 0.043 (0.048) Loss 2.2045 (2.3043) Prec@1 48.047 (47.306) Prec@5 73.438 (72.716)
Epoch: [84][1490/5005] Time 0.209 (0.213) Data 0.050 (0.048) Loss 2.4557 (2.3040) Prec@1 41.016 (47.310) Prec@5 71.484 (72.723)
Epoch: [84][1500/5005] Time 0.201 (0.213) Data 0.044 (0.048) Loss 2.2806 (2.3038) Prec@1 51.562 (47.314) Prec@5 72.656 (72.733)
Epoch: [84][1510/5005] Time 0.219 (0.212) Data 0.047 (0.048) Loss 2.1514 (2.3035) Prec@1 49.609 (47.317) Prec@5 74.219 (72.733)
Epoch: [84][1520/5005] Time 0.204 (0.212) Data 0.056 (0.048) Loss 2.3174 (2.3033) Prec@1 49.219 (47.322) Prec@5 72.656 (72.741)
Epoch: [84][1530/5005] Time 0.203 (0.212) Data 0.056 (0.048) Loss 2.3617 (2.3033) Prec@1 47.266 (47.315) Prec@5 73.047 (72.739)
Epoch: [84][1540/5005] Time 0.205 (0.212) Data 0.055 (0.048) Loss 2.3847 (2.3032) Prec@1 41.406 (47.314) Prec@5 70.312 (72.737)
Epoch: [84][1550/5005] Time 0.196 (0.212) Data 0.054 (0.048) Loss 2.3043 (2.3027) Prec@1 47.656 (47.324) Prec@5 73.438 (72.742)
Epoch: [84][1560/5005] Time 0.216 (0.212) Data 0.043 (0.048) Loss 2.1660 (2.3029) Prec@1 48.438 (47.321) Prec@5 73.047 (72.737)
Epoch: [84][1570/5005] Time 0.210 (0.212) Data 0.043 (0.048) Loss 2.0907 (2.3024) Prec@1 51.562 (47.333) Prec@5 76.562 (72.745)
Epoch: [84][1580/5005] Time 0.205 (0.212) Data 0.045 (0.048) Loss 2.2255 (2.3028) Prec@1 46.484 (47.328) Prec@5 75.391 (72.739)
Epoch: [84][1590/5005] Time 0.210 (0.212) Data 0.047 (0.048) Loss 2.2204 (2.3031) Prec@1 47.656 (47.316) Prec@5 71.094 (72.735)
Epoch: [84][1600/5005] Time 0.213 (0.212) Data 0.049 (0.048) Loss 2.3862 (2.3032) Prec@1 46.875 (47.318) Prec@5 69.922 (72.732)
Epoch: [84][1610/5005] Time 0.216 (0.212) Data 0.043 (0.048) Loss 2.3758 (2.3030) Prec@1 44.922 (47.324) Prec@5 70.703 (72.735)
Epoch: [84][1620/5005] Time 0.207 (0.212) Data 0.042 (0.048) Loss 2.4526 (2.3028) Prec@1 42.188 (47.319) Prec@5 69.922 (72.736)
Epoch: [84][1630/5005] Time 0.215 (0.212) Data 0.042 (0.048) Loss 2.2370 (2.3028) Prec@1 51.562 (47.322) Prec@5 75.781 (72.736)
Epoch: [84][1640/5005] Time 0.206 (0.212) Data 0.042 (0.048) Loss 2.3726 (2.3031) Prec@1 50.391 (47.317) Prec@5 73.047 (72.734)
Epoch: [84][1650/5005] Time 0.212 (0.212) Data 0.041 (0.048) Loss 2.2997 (2.3031) Prec@1 45.703 (47.317) Prec@5 72.266 (72.736)
Epoch: [84][1660/5005] Time 0.196 (0.212) Data 0.048 (0.048) Loss 2.1914 (2.3025) Prec@1 51.953 (47.336) Prec@5 75.781 (72.742)
Epoch: [84][1670/5005] Time 0.210 (0.212) Data 0.045 (0.048) Loss 2.1110 (2.3027) Prec@1 51.562 (47.333) Prec@5 75.781 (72.739)
Epoch: [84][1680/5005] Time 0.214 (0.212) Data 0.042 (0.048) Loss 2.3568 (2.3030) Prec@1 48.047 (47.329) Prec@5 71.094 (72.733)
Epoch: [84][1690/5005] Time 0.213 (0.212) Data 0.046 (0.048) Loss 2.1001 (2.3026) Prec@1 50.391 (47.333) Prec@5 73.828 (72.736)
Epoch: [84][1700/5005] Time 0.211 (0.212) Data 0.044 (0.048) Loss 2.2758 (2.3021) Prec@1 48.828 (47.344) Prec@5 75.391 (72.746)
Epoch: [84][1710/5005] Time 0.216 (0.212) Data 0.046 (0.048) Loss 2.2056 (2.3018) Prec@1 50.000 (47.354) Prec@5 72.656 (72.752)
Epoch: [84][1720/5005] Time 0.212 (0.212) Data 0.043 (0.048) Loss 2.3428 (2.3017) Prec@1 46.484 (47.348) Prec@5 71.484 (72.755)
Epoch: [84][1730/5005] Time 0.205 (0.212) Data 0.040 (0.048) Loss 2.2691 (2.3017) Prec@1 46.484 (47.348) Prec@5 72.266 (72.757)
Epoch: [84][1740/5005] Time 0.212 (0.212) Data 0.043 (0.048) Loss 2.3452 (2.3015) Prec@1 45.312 (47.354) Prec@5 72.656 (72.759)
Epoch: [84][1750/5005] Time 0.207 (0.212) Data 0.042 (0.048) Loss 2.2237 (2.3014) Prec@1 44.922 (47.356) Prec@5 76.172 (72.761)
Epoch: [84][1760/5005] Time 0.208 (0.212) Data 0.039 (0.048) Loss 2.0776 (2.3013) Prec@1 48.828 (47.362) Prec@5 77.734 (72.764)
Epoch: [84][1770/5005] Time 0.209 (0.212) Data 0.047 (0.048) Loss 2.4086 (2.3013) Prec@1 44.141 (47.360) Prec@5 70.703 (72.765)
Epoch: [84][1780/5005] Time 0.210 (0.212) Data 0.048 (0.048) Loss 2.1972 (2.3013) Prec@1 48.828 (47.358) Prec@5 76.562 (72.762)
Epoch: [84][1790/5005] Time 0.214 (0.212) Data 0.050 (0.048) Loss 2.2220 (2.3009) Prec@1 50.000 (47.359) Prec@5 72.656 (72.769)
Epoch: [84][1800/5005] Time 0.204 (0.212) Data 0.050 (0.048) Loss 2.3077 (2.3007) Prec@1 47.656 (47.367) Prec@5 72.266 (72.773)
Epoch: [84][1810/5005] Time 0.214 (0.212) Data 0.046 (0.048) Loss 2.2160 (2.3007) Prec@1 51.562 (47.365) Prec@5 75.000 (72.771)
Epoch: [84][1820/5005] Time 0.207 (0.212) Data 0.050 (0.048) Loss 2.3892 (2.3007) Prec@1 43.359 (47.362) Prec@5 71.484 (72.769)
Epoch: [84][1830/5005] Time 0.212 (0.212) Data 0.058 (0.048) Loss 2.0184 (2.3002) Prec@1 51.953 (47.371) Prec@5 78.516 (72.774)
Epoch: [84][1840/5005] Time 0.216 (0.212) Data 0.043 (0.048) Loss 2.3161 (2.3000) Prec@1 47.266 (47.376) Prec@5 70.703 (72.780)
Epoch: [84][1850/5005] Time 0.211 (0.212) Data 0.044 (0.048) Loss 2.3657 (2.2997) Prec@1 44.531 (47.376) Prec@5 73.438 (72.787)
Epoch: [84][1860/5005] Time 0.211 (0.212) Data 0.047 (0.048) Loss 2.3091 (2.2999) Prec@1 50.000 (47.377) Prec@5 71.484 (72.784)
Epoch: [84][1870/5005] Time 0.218 (0.212) Data 0.044 (0.048) Loss 2.4495 (2.3000) Prec@1 46.875 (47.373) Prec@5 73.047 (72.783)
Epoch: [84][1880/5005] Time 0.201 (0.212) Data 0.042 (0.048) Loss 2.3354 (2.3002) Prec@1 49.219 (47.373) Prec@5 74.219 (72.778)
Epoch: [84][1890/5005] Time 0.206 (0.212) Data 0.058 (0.048) Loss 2.2900 (2.3001) Prec@1 48.828 (47.372) Prec@5 73.047 (72.781)
Epoch: [84][1900/5005] Time 0.214 (0.212) Data 0.044 (0.048) Loss 2.0899 (2.3004) Prec@1 52.344 (47.372) Prec@5 77.344 (72.781)
Epoch: [84][1910/5005] Time 0.211 (0.212) Data 0.058 (0.048) Loss 2.3454 (2.3004) Prec@1 45.312 (47.367) Prec@5 71.875 (72.781)
Epoch: [84][1920/5005] Time 0.207 (0.212) Data 0.047 (0.048) Loss 2.1640 (2.3001) Prec@1 45.703 (47.359) Prec@5 77.344 (72.788)
Epoch: [84][1930/5005] Time 0.208 (0.212) Data 0.045 (0.048) Loss 2.1543 (2.2998) Prec@1 53.516 (47.367) Prec@5 76.172 (72.793)
Epoch: [84][1940/5005] Time 0.207 (0.212) Data 0.052 (0.048) Loss 2.1179 (2.2994) Prec@1 52.344 (47.370) Prec@5 74.609 (72.799)
Epoch: [84][1950/5005] Time 0.202 (0.212) Data 0.045 (0.048) Loss 2.3973 (2.2994) Prec@1 44.141 (47.371) Prec@5 72.656 (72.804)
Epoch: [84][1960/5005] Time 0.197 (0.212) Data 0.046 (0.048) Loss 2.1866 (2.2992) Prec@1 50.391 (47.371) Prec@5 76.172 (72.810)
Epoch: [84][1970/5005] Time 0.198 (0.212) Data 0.043 (0.048) Loss 2.3534 (2.2994) Prec@1 46.875 (47.366) Prec@5 69.531 (72.805)
Epoch: [84][1980/5005] Time 0.212 (0.212) Data 0.041 (0.048) Loss 2.1613 (2.2995) Prec@1 48.438 (47.370) Prec@5 72.656 (72.803)
Epoch: [84][1990/5005] Time 0.208 (0.212) Data 0.047 (0.048) Loss 2.2135 (2.2992) Prec@1 48.828 (47.375) Prec@5 73.047 (72.805)
Epoch: [84][2000/5005] Time 0.204 (0.212) Data 0.061 (0.048) Loss 2.2188 (2.2997) Prec@1 49.609 (47.364) Prec@5 73.828 (72.800)
Epoch: [84][2010/5005] Time 0.207 (0.212) Data 0.046 (0.048) Loss 2.1495 (2.2997) Prec@1 47.656 (47.360) Prec@5 76.172 (72.798)
Epoch: [84][2020/5005] Time 0.210 (0.212) Data 0.059 (0.048) Loss 2.1806 (2.2997) Prec@1 50.000 (47.357) Prec@5 73.438 (72.796)
Epoch: [84][2030/5005] Time 0.211 (0.212) Data 0.061 (0.048) Loss 2.2743 (2.2997) Prec@1 48.828 (47.358) Prec@5 76.953 (72.797)
Epoch: [84][2040/5005] Time 0.197 (0.212) Data 0.050 (0.048) Loss 2.2067 (2.2996) Prec@1 46.875 (47.357) Prec@5 73.438 (72.799)
Epoch: [84][2050/5005] Time 0.207 (0.212) Data 0.045 (0.048) Loss 2.2690 (2.2993) Prec@1 50.781 (47.366) Prec@5 71.875 (72.803)
Epoch: [84][2060/5005] Time 0.206 (0.212) Data 0.043 (0.048) Loss 2.3350 (2.2991) Prec@1 45.703 (47.367) Prec@5 70.312 (72.807)
Epoch: [84][2070/5005] Time 0.212 (0.212) Data 0.043 (0.048) Loss 2.5223 (2.2994) Prec@1 43.750 (47.361) Prec@5 67.969 (72.802)
Epoch: [84][2080/5005] Time 0.206 (0.212) Data 0.042 (0.048) Loss 2.3289 (2.2994) Prec@1 45.703 (47.361) Prec@5 73.438 (72.806)
Epoch: [84][2090/5005] Time 0.206 (0.212) Data 0.038 (0.048) Loss 2.2051 (2.2989) Prec@1 50.391 (47.366) Prec@5 71.875 (72.810)
Epoch: [84][2100/5005] Time 0.209 (0.212) Data 0.046 (0.048) Loss 2.4262 (2.2988) Prec@1 44.531 (47.368) Prec@5 73.438 (72.813)
Epoch: [84][2110/5005] Time 0.212 (0.212) Data 0.044 (0.048) Loss 2.0905 (2.2988) Prec@1 51.172 (47.373) Prec@5 74.219 (72.808)
Epoch: [84][2120/5005] Time 0.205 (0.212) Data 0.045 (0.048) Loss 2.3067 (2.2986) Prec@1 45.703 (47.377) Prec@5 74.219 (72.816)
Epoch: [84][2130/5005] Time 0.217 (0.212) Data 0.048 (0.048) Loss 2.1367 (2.2981) Prec@1 52.734 (47.388) Prec@5 73.828 (72.820)
Epoch: [84][2140/5005] Time 0.215 (0.212) Data 0.047 (0.048) Loss 2.0865 (2.2980) Prec@1 53.516 (47.393) Prec@5 73.438 (72.820)
Epoch: [84][2150/5005] Time 0.207 (0.211) Data 0.055 (0.048) Loss 2.1266 (2.2981) Prec@1 51.172 (47.397) Prec@5 76.172 (72.820)
Epoch: [84][2160/5005] Time 0.201 (0.211) Data 0.053 (0.048) Loss 2.2841 (2.2980) Prec@1 42.188 (47.397) Prec@5 75.000 (72.821)
Epoch: [84][2170/5005] Time 0.206 (0.211) Data 0.047 (0.048) Loss 2.1155 (2.2977) Prec@1 50.781 (47.401) Prec@5 75.391 (72.826)
Epoch: [84][2180/5005] Time 0.217 (0.211) Data 0.043 (0.048) Loss 2.3326 (2.2978) Prec@1 52.734 (47.399) Prec@5 69.531 (72.826)
Epoch: [84][2190/5005] Time 0.204 (0.211) Data 0.045 (0.048) Loss 2.4896 (2.2978) Prec@1 42.188 (47.407) Prec@5 69.531 (72.827)
Epoch: [84][2200/5005] Time 0.209 (0.211) Data 0.042 (0.048) Loss 2.4411 (2.2981) Prec@1 46.094 (47.402) Prec@5 70.312 (72.824)
Epoch: [84][2210/5005] Time 0.194 (0.211) Data 0.068 (0.048) Loss 2.2765 (2.2983) Prec@1 49.219 (47.402) Prec@5 72.656 (72.821)
Epoch: [84][2220/5005] Time 0.207 (0.211) Data 0.042 (0.048) Loss 2.4856 (2.2983) Prec@1 43.750 (47.399) Prec@5 68.750 (72.821)
Epoch: [84][2230/5005] Time 0.202 (0.211) Data 0.060 (0.048) Loss 2.3618 (2.2985) Prec@1 49.219 (47.394) Prec@5 70.312 (72.817)
Epoch: [84][2240/5005] Time 0.204 (0.211) Data 0.043 (0.048) Loss 2.3202 (2.2988) Prec@1 49.219 (47.392) Prec@5 74.609 (72.819)
Epoch: [84][2250/5005] Time 0.204 (0.211) Data 0.053 (0.048) Loss 2.1433 (2.2989) Prec@1 50.391 (47.390) Prec@5 74.609 (72.812)
Epoch: [84][2260/5005] Time 0.204 (0.211) Data 0.051 (0.048) Loss 2.2698 (2.2989) Prec@1 49.219 (47.389) Prec@5 70.703 (72.814)
Epoch: [84][2270/5005] Time 0.211 (0.211) Data 0.044 (0.048) Loss 2.5804 (2.2987) Prec@1 42.188 (47.396) Prec@5 68.359 (72.816)
Epoch: [84][2280/5005] Time 0.209 (0.211) Data 0.043 (0.048) Loss 2.5096 (2.2988) Prec@1 44.922 (47.398) Prec@5 69.531 (72.817)
Epoch: [84][2290/5005] Time 0.210 (0.211) Data 0.057 (0.048) Loss 2.1232 (2.2987) Prec@1 49.609 (47.398) Prec@5 76.172 (72.821)
Epoch: [84][2300/5005] Time 0.202 (0.211) Data 0.048 (0.048) Loss 2.3269 (2.2986) Prec@1 44.141 (47.400) Prec@5 70.703 (72.828)
Epoch: [84][2310/5005] Time 0.199 (0.211) Data 0.050 (0.048) Loss 2.0955 (2.2986) Prec@1 52.734 (47.408) Prec@5 76.953 (72.824)
Epoch: [84][2320/5005] Time 0.210 (0.211) Data 0.043 (0.048) Loss 2.4081 (2.2986) Prec@1 46.484 (47.415) Prec@5 71.484 (72.823)
Epoch: [84][2330/5005] Time 0.214 (0.211) Data 0.043 (0.048) Loss 2.2874 (2.2985) Prec@1 50.781 (47.422) Prec@5 71.875 (72.823)
Epoch: [84][2340/5005] Time 0.216 (0.211) Data 0.042 (0.048) Loss 2.2051 (2.2982) Prec@1 48.047 (47.424) Prec@5 74.609 (72.825)
Epoch: [84][2350/5005] Time 0.208 (0.211) Data 0.046 (0.048) Loss 2.2751 (2.2982) Prec@1 45.703 (47.424) Prec@5 74.609 (72.824)
Epoch: [84][2360/5005] Time 0.203 (0.211) Data 0.045 (0.048) Loss 2.3683 (2.2983) Prec@1 46.875 (47.419) Prec@5 69.531 (72.822)
Epoch: [84][2370/5005] Time 0.209 (0.211) Data 0.043 (0.048) Loss 2.3094 (2.2985) Prec@1 46.094 (47.414) Prec@5 70.312 (72.817)
Epoch: [84][2380/5005] Time 0.205 (0.211) Data 0.042 (0.048) Loss 2.3181 (2.2982) Prec@1 48.438 (47.422) Prec@5 73.438 (72.821)
Epoch: [84][2390/5005] Time 0.198 (0.211) Data 0.044 (0.048) Loss 2.4319 (2.2981) Prec@1 41.797 (47.425) Prec@5 68.750 (72.822)
Epoch: [84][2400/5005] Time 0.217 (0.211) Data 0.046 (0.048) Loss 2.2401 (2.2980) Prec@1 49.219 (47.424) Prec@5 73.438 (72.824)
Epoch: [84][2410/5005] Time 0.210 (0.211) Data 0.048 (0.048) Loss 2.5457 (2.2981) Prec@1 40.234 (47.423) Prec@5 66.797 (72.822)
Epoch: [84][2420/5005] Time 0.205 (0.211) Data 0.042 (0.048) Loss 2.3337 (2.2979) Prec@1 45.312 (47.429) Prec@5 71.875 (72.824)
Epoch: [84][2430/5005] Time 0.214 (0.211) Data 0.047 (0.048) Loss 2.2707 (2.2980) Prec@1 51.562 (47.427) Prec@5 72.266 (72.820)
Epoch: [84][2440/5005] Time 0.204 (0.211) Data 0.055 (0.048) Loss 2.1910 (2.2979) Prec@1 53.906 (47.436) Prec@5 75.000 (72.820)
Epoch: [84][2450/5005] Time 0.202 (0.211) Data 0.057 (0.048) Loss 2.1660 (2.2977) Prec@1 50.000 (47.440) Prec@5 74.609 (72.819)
Epoch: [84][2460/5005] Time 0.206 (0.211) Data 0.047 (0.048) Loss 2.3830 (2.2976) Prec@1 44.141 (47.439) Prec@5 74.219 (72.819)
Epoch: [84][2470/5005] Time 0.210 (0.211) Data 0.049 (0.048) Loss 2.0113 (2.2973) Prec@1 49.219 (47.443) Prec@5 75.781 (72.820)
Epoch: [84][2480/5005] Time 0.206 (0.211) Data 0.044 (0.048) Loss 2.4007 (2.2974) Prec@1 48.438 (47.442) Prec@5 73.438 (72.819)
Epoch: [84][2490/5005] Time 0.210 (0.211) Data 0.039 (0.048) Loss 2.1212 (2.2975) Prec@1 51.562 (47.442) Prec@5 77.344 (72.817)
Epoch: [84][2500/5005] Time 0.214 (0.211) Data 0.042 (0.048) Loss 2.3668 (2.2975) Prec@1 46.875 (47.441) Prec@5 70.312 (72.817)
Epoch: [84][2510/5005] Time 0.199 (0.211) Data 0.055 (0.048) Loss 2.3890 (2.2975) Prec@1 45.312 (47.440) Prec@5 73.828 (72.820)
Epoch: [84][2520/5005] Time 0.205 (0.211) Data 0.055 (0.048) Loss 2.1763 (2.2975) Prec@1 53.906 (47.446) Prec@5 76.562 (72.820)
Epoch: [84][2530/5005] Time 0.211 (0.211) Data 0.044 (0.048) Loss 2.4253 (2.2974) Prec@1 45.703 (47.449) Prec@5 70.703 (72.820)
Epoch: [84][2540/5005] Time 0.205 (0.211) Data 0.051 (0.048) Loss 2.2469 (2.2973) Prec@1 47.266 (47.453) Prec@5 74.609 (72.823)
Epoch: [84][2550/5005] Time 0.215 (0.211) Data 0.043 (0.048) Loss 2.0872 (2.2972) Prec@1 48.828 (47.457) Prec@5 77.734 (72.830)
Epoch: [84][2560/5005] Time 0.209 (0.211) Data 0.044 (0.048) Loss 2.5336 (2.2975) Prec@1 45.703 (47.454) Prec@5 66.797 (72.822)
Epoch: [84][2570/5005] Time 0.208 (0.211) Data 0.047 (0.048) Loss 2.3125 (2.2976) Prec@1 44.141 (47.452) Prec@5 73.047 (72.820)
Epoch: [84][2580/5005] Time 0.203 (0.211) Data 0.060 (0.048) Loss 2.3455 (2.2980) Prec@1 46.875 (47.445) Prec@5 69.922 (72.817)
Epoch: [84][2590/5005] Time 0.211 (0.211) Data 0.044 (0.048) Loss 2.3798 (2.2977) Prec@1 43.750 (47.450) Prec@5 74.609 (72.822)
Epoch: [84][2600/5005] Time 0.208 (0.211) Data 0.047 (0.048) Loss 2.4213 (2.2979) Prec@1 47.266 (47.449) Prec@5 71.875 (72.818)
Epoch: [84][2610/5005] Time 0.216 (0.211) Data 0.043 (0.048) Loss 2.4835 (2.2977) Prec@1 46.875 (47.454) Prec@5 67.578 (72.820)
Epoch: [84][2620/5005] Time 0.205 (0.211) Data 0.047 (0.048) Loss 2.2005 (2.2976) Prec@1 48.047 (47.455) Prec@5 71.875 (72.821)
Epoch: [84][2630/5005] Time 0.216 (0.211) Data 0.045 (0.048) Loss 2.3644 (2.2980) Prec@1 45.312 (47.453) Prec@5 72.656 (72.814)
Epoch: [84][2640/5005] Time 0.203 (0.211) Data 0.043 (0.048) Loss 2.3782 (2.2980) Prec@1 43.750 (47.453) Prec@5 67.969 (72.811)
Epoch: [84][2650/5005] Time 0.214 (0.211) Data 0.042 (0.048) Loss 2.4633 (2.2981) Prec@1 45.703 (47.452) Prec@5 68.359 (72.809)
Epoch: [84][2660/5005] Time 0.202 (0.211) Data 0.050 (0.048) Loss 2.1558 (2.2980) Prec@1 51.172 (47.452) Prec@5 76.953 (72.808)
Epoch: [84][2670/5005] Time 0.207 (0.211) Data 0.042 (0.048) Loss 2.0769 (2.2978) Prec@1 51.562 (47.459) Prec@5 76.172 (72.812)
Epoch: [84][2680/5005] Time 0.216 (0.211) Data 0.041 (0.048) Loss 2.1745 (2.2978) Prec@1 48.828 (47.458) Prec@5 73.438 (72.812)
Epoch: [84][2690/5005] Time 0.206 (0.211) Data 0.046 (0.048) Loss 2.0154 (2.2976) Prec@1 53.516 (47.463) Prec@5 79.297 (72.816)
Epoch: [84][2700/5005] Time 0.220 (0.211) Data 0.046 (0.048) Loss 2.3270 (2.2975) Prec@1 44.531 (47.463) Prec@5 70.312 (72.817)
Epoch: [84][2710/5005] Time 0.202 (0.211) Data 0.065 (0.048) Loss 2.0932 (2.2975) Prec@1 50.000 (47.459) Prec@5 73.828 (72.817)
Epoch: [84][2720/5005] Time 0.204 (0.211) Data 0.044 (0.048) Loss 2.2084 (2.2973) Prec@1 50.391 (47.459) Prec@5 74.609 (72.820)
Epoch: [84][2730/5005] Time 0.201 (0.211) Data 0.045 (0.048) Loss 2.2849 (2.2972) Prec@1 49.219 (47.460) Prec@5 73.438 (72.824)
Epoch: [84][2740/5005] Time 0.204 (0.211) Data 0.045 (0.048) Loss 2.1562 (2.2970) Prec@1 48.438 (47.462) Prec@5 73.438 (72.826)
Epoch: [84][2750/5005] Time 0.208 (0.211) Data 0.060 (0.048) Loss 2.1976 (2.2968) Prec@1 48.828 (47.467) Prec@5 73.047 (72.826)
Epoch: [84][2760/5005] Time 0.217 (0.211) Data 0.046 (0.048) Loss 2.2780 (2.2967) Prec@1 49.219 (47.470) Prec@5 71.094 (72.827)
Epoch: [84][2770/5005] Time 0.209 (0.211) Data 0.051 (0.048) Loss 2.2692 (2.2968) Prec@1 49.219 (47.472) Prec@5 73.047 (72.827)
Epoch: [84][2780/5005] Time 0.214 (0.211) Data 0.045 (0.048) Loss 2.5817 (2.2967) Prec@1 42.969 (47.476) Prec@5 66.797 (72.828)
Epoch: [84][2790/5005] Time 0.211 (0.211) Data 0.045 (0.048) Loss 2.5389 (2.2969) Prec@1 40.625 (47.474) Prec@5 65.234 (72.821)
Epoch: [84][2800/5005] Time 0.205 (0.211) Data 0.050 (0.048) Loss 2.0267 (2.2970) Prec@1 53.516 (47.474) Prec@5 76.562 (72.820)
Epoch: [84][2810/5005] Time 0.200 (0.211) Data 0.058 (0.048) Loss 2.4208 (2.2970) Prec@1 44.531 (47.472) Prec@5 71.484 (72.821)
Epoch: [84][2820/5005] Time 0.208 (0.211) Data 0.064 (0.048) Loss 2.0251 (2.2969) Prec@1 51.953 (47.472) Prec@5 76.953 (72.821)
Epoch: [84][2830/5005] Time 0.214 (0.211) Data 0.044 (0.048) Loss 2.4383 (2.2970) Prec@1 44.141 (47.470) Prec@5 70.312 (72.819)
Epoch: [84][2840/5005] Time 0.208 (0.211) Data 0.041 (0.048) Loss 2.3803 (2.2971) Prec@1 45.312 (47.470) Prec@5 71.094 (72.818)
Epoch: [84][2850/5005] Time 0.205 (0.211) Data 0.051 (0.048) Loss 2.2325 (2.2970) Prec@1 50.781 (47.475) Prec@5 73.438 (72.816)
Epoch: [84][2860/5005] Time 0.204 (0.211) Data 0.059 (0.048) Loss 2.2671 (2.2972) Prec@1 49.609 (47.474) Prec@5 72.656 (72.815)
Epoch: [84][2870/5005] Time 0.199 (0.211) Data 0.060 (0.048) Loss 2.2177 (2.2970) Prec@1 49.219 (47.478) Prec@5 72.656 (72.819)
Epoch: [84][2880/5005] Time 0.208 (0.211) Data 0.045 (0.048) Loss 2.2436 (2.2968) Prec@1 52.344 (47.482) Prec@5 72.656 (72.823)
Epoch: [84][2890/5005] Time 0.208 (0.211) Data 0.044 (0.048) Loss 2.2755 (2.2967) Prec@1 46.484 (47.485) Prec@5 72.656 (72.826)
Epoch: [84][2900/5005] Time 0.212 (0.211) Data 0.043 (0.048) Loss 2.1318 (2.2966) Prec@1 49.609 (47.488) Prec@5 75.391 (72.828)
Epoch: [84][2910/5005] Time 0.209 (0.211) Data 0.041 (0.048) Loss 2.2976 (2.2966) Prec@1 48.438 (47.487) Prec@5 73.828 (72.830)
Epoch: [84][2920/5005] Time 0.208 (0.210) Data 0.068 (0.048) Loss 2.4338 (2.2967) Prec@1 44.922 (47.484) Prec@5 69.141 (72.832)
Epoch: [84][2930/5005] Time 0.209 (0.210) Data 0.051 (0.048) Loss 2.6515 (2.2967) Prec@1 44.141 (47.484) Prec@5 65.625 (72.834)
Epoch: [84][2940/5005] Time 0.208 (0.210) Data 0.047 (0.048) Loss 2.3706 (2.2965) Prec@1 48.047 (47.481) Prec@5 74.219 (72.836)
Epoch: [84][2950/5005] Time 0.209 (0.210) Data 0.057 (0.048) Loss 2.4212 (2.2964) Prec@1 43.359 (47.482) Prec@5 75.000 (72.842)
Epoch: [84][2960/5005] Time 0.211 (0.210) Data 0.066 (0.048) Loss 2.2692 (2.2963) Prec@1 47.266 (47.484) Prec@5 73.828 (72.841)
Epoch: [84][2970/5005] Time 0.204 (0.210) Data 0.043 (0.048) Loss 2.3033 (2.2962) Prec@1 45.312 (47.488) Prec@5 71.875 (72.840)
Epoch: [84][2980/5005] Time 0.198 (0.210) Data 0.047 (0.048) Loss 2.3119 (2.2962) Prec@1 44.922 (47.488) Prec@5 72.656 (72.841)
Epoch: [84][2990/5005] Time 0.213 (0.210) Data 0.042 (0.048) Loss 2.2055 (2.2962) Prec@1 48.828 (47.486) Prec@5 74.609 (72.840)
Epoch: [84][3000/5005] Time 0.202 (0.211) Data 0.038 (0.048) Loss 2.2677 (2.2960) Prec@1 48.438 (47.488) Prec@5 75.000 (72.843)
Epoch: [84][3010/5005] Time 0.193 (0.210) Data 0.056 (0.048) Loss 2.1973 (2.2961) Prec@1 45.703 (47.484) Prec@5 74.219 (72.844)
Epoch: [84][3020/5005] Time 0.213 (0.210) Data 0.051 (0.048) Loss 2.2559 (2.2962) Prec@1 46.875 (47.480) Prec@5 73.047 (72.842)
Epoch: [84][3030/5005] Time 0.202 (0.210) Data 0.046 (0.048) Loss 2.3289 (2.2963) Prec@1 47.266 (47.481) Prec@5 72.266 (72.839)
Epoch: [84][3040/5005] Time 0.201 (0.210) Data 0.048 (0.048) Loss 2.2103 (2.2962) Prec@1 49.219 (47.485) Prec@5 72.656 (72.841)
Epoch: [84][3050/5005] Time 0.215 (0.210) Data 0.046 (0.048) Loss 2.2082 (2.2962) Prec@1 48.438 (47.486) Prec@5 75.391 (72.839)
Epoch: [84][3060/5005] Time 0.208 (0.210) Data 0.047 (0.048) Loss 2.2772 (2.2960) Prec@1 50.391 (47.486) Prec@5 74.609 (72.843)
Epoch: [84][3070/5005] Time 0.206 (0.210) Data 0.048 (0.048) Loss 2.2290 (2.2961) Prec@1 49.609 (47.483) Prec@5 73.047 (72.843)
Epoch: [84][3080/5005] Time 0.213 (0.210) Data 0.048 (0.048) Loss 2.2194 (2.2962) Prec@1 43.359 (47.480) Prec@5 73.438 (72.842)
Epoch: [84][3090/5005] Time 0.207 (0.210) Data 0.045 (0.048) Loss 2.4520 (2.2961) Prec@1 46.875 (47.480) Prec@5 69.922 (72.842)
Epoch: [84][3100/5005] Time 0.209 (0.210) Data 0.058 (0.048) Loss 2.3401 (2.2962) Prec@1 48.438 (47.478) Prec@5 72.266 (72.840)
Epoch: [84][3110/5005] Time 0.210 (0.210) Data 0.047 (0.048) Loss 2.1057 (2.2960) Prec@1 51.562 (47.481) Prec@5 74.219 (72.843)
Epoch: [84][3120/5005] Time 0.210 (0.210) Data 0.048 (0.048) Loss 2.3529 (2.2961) Prec@1 45.312 (47.481) Prec@5 72.656 (72.840)
Epoch: [84][3130/5005] Time 0.212 (0.210) Data 0.042 (0.048) Loss 2.4534 (2.2959) Prec@1 45.312 (47.484) Prec@5 69.531 (72.844)
Epoch: [84][3140/5005] Time 0.208 (0.210) Data 0.042 (0.048) Loss 2.1166 (2.2957) Prec@1 51.562 (47.486) Prec@5 76.562 (72.847)
Epoch: [84][3150/5005] Time 0.203 (0.210) Data 0.044 (0.048) Loss 2.2539 (2.2956) Prec@1 49.609 (47.490) Prec@5 73.047 (72.848)
Epoch: [84][3160/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.1012 (2.2956) Prec@1 51.172 (47.494) Prec@5 76.953 (72.848)
Epoch: [84][3170/5005] Time 0.200 (0.210) Data 0.040 (0.048) Loss 2.2057 (2.2956) Prec@1 49.219 (47.492) Prec@5 75.391 (72.848)
Epoch: [84][3180/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.2091 (2.2957) Prec@1 53.125 (47.493) Prec@5 74.609 (72.846)
Epoch: [84][3190/5005] Time 0.207 (0.210) Data 0.044 (0.048) Loss 2.2618 (2.2957) Prec@1 46.875 (47.492) Prec@5 74.219 (72.852)
Epoch: [84][3200/5005] Time 0.208 (0.210) Data 0.047 (0.048) Loss 2.4058 (2.2956) Prec@1 45.312 (47.497) Prec@5 71.484 (72.853)
Epoch: [84][3210/5005] Time 0.209 (0.210) Data 0.044 (0.048) Loss 2.3488 (2.2956) Prec@1 47.656 (47.499) Prec@5 72.656 (72.853)
Epoch: [84][3220/5005] Time 0.209 (0.210) Data 0.044 (0.048) Loss 2.3996 (2.2955) Prec@1 47.266 (47.500) Prec@5 72.656 (72.855)
Epoch: [84][3230/5005] Time 0.207 (0.210) Data 0.042 (0.048) Loss 2.1556 (2.2953) Prec@1 49.609 (47.505) Prec@5 76.953 (72.859)
Epoch: [84][3240/5005] Time 0.207 (0.210) Data 0.042 (0.048) Loss 2.6834 (2.2957) Prec@1 37.109 (47.498) Prec@5 68.359 (72.852)
Epoch: [84][3250/5005] Time 0.213 (0.210) Data 0.052 (0.048) Loss 2.0710 (2.2958) Prec@1 53.125 (47.496) Prec@5 77.344 (72.852)
Epoch: [84][3260/5005] Time 0.213 (0.210) Data 0.049 (0.048) Loss 2.1774 (2.2959) Prec@1 50.391 (47.492) Prec@5 71.875 (72.849)
Epoch: [84][3270/5005] Time 0.213 (0.210) Data 0.044 (0.048) Loss 2.4580 (2.2958) Prec@1 45.312 (47.492) Prec@5 67.188 (72.850)
Epoch: [84][3280/5005] Time 0.205 (0.210) Data 0.046 (0.048) Loss 2.1387 (2.2958) Prec@1 51.953 (47.490) Prec@5 76.562 (72.852)
Epoch: [84][3290/5005] Time 0.215 (0.210) Data 0.045 (0.048) Loss 2.2433 (2.2957) Prec@1 48.047 (47.494) Prec@5 74.219 (72.853)
Epoch: [84][3300/5005] Time 0.215 (0.210) Data 0.053 (0.048) Loss 2.2429 (2.2956) Prec@1 43.750 (47.494) Prec@5 73.438 (72.854)
Epoch: [84][3310/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.1889 (2.2957) Prec@1 50.391 (47.493) Prec@5 71.875 (72.852)
Epoch: [84][3320/5005] Time 0.214 (0.210) Data 0.041 (0.048) Loss 2.3183 (2.2957) Prec@1 46.875 (47.493) Prec@5 73.047 (72.850)
Epoch: [84][3330/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.4450 (2.2958) Prec@1 46.484 (47.491) Prec@5 68.750 (72.848)
Epoch: [84][3340/5005] Time 0.216 (0.210) Data 0.044 (0.048) Loss 2.3995 (2.2960) Prec@1 44.141 (47.487) Prec@5 72.656 (72.845)
Epoch: [84][3350/5005] Time 0.196 (0.210) Data 0.057 (0.048) Loss 2.5160 (2.2959) Prec@1 42.188 (47.486) Prec@5 69.922 (72.846)
Epoch: [84][3360/5005] Time 0.208 (0.210) Data 0.055 (0.048) Loss 2.2143 (2.2959) Prec@1 49.219 (47.487) Prec@5 76.172 (72.846)
Epoch: [84][3370/5005] Time 0.204 (0.210) Data 0.054 (0.048) Loss 2.3571 (2.2960) Prec@1 42.969 (47.488) Prec@5 71.484 (72.845)
Epoch: [84][3380/5005] Time 0.208 (0.210) Data 0.043 (0.048) Loss 2.3274 (2.2958) Prec@1 50.000 (47.490) Prec@5 72.656 (72.847)
Epoch: [84][3390/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.1135 (2.2959) Prec@1 50.781 (47.489) Prec@5 75.391 (72.844)
Epoch: [84][3400/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.2822 (2.2960) Prec@1 44.531 (47.488) Prec@5 74.219 (72.844)
Epoch: [84][3410/5005] Time 0.205 (0.210) Data 0.043 (0.048) Loss 2.2519 (2.2960) Prec@1 49.219 (47.489) Prec@5 75.781 (72.845)
Epoch: [84][3420/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.1967 (2.2960) Prec@1 47.656 (47.485) Prec@5 77.344 (72.846)
Epoch: [84][3430/5005] Time 0.207 (0.210) Data 0.040 (0.048) Loss 2.2517 (2.2959) Prec@1 44.922 (47.483) Prec@5 73.828 (72.848)
Epoch: [84][3440/5005] Time 0.211 (0.210) Data 0.042 (0.048) Loss 2.2650 (2.2958) Prec@1 50.000 (47.482) Prec@5 71.094 (72.849)
Epoch: [84][3450/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.2330 (2.2956) Prec@1 48.047 (47.484) Prec@5 71.094 (72.850)
Epoch: [84][3460/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.2562 (2.2957) Prec@1 48.828 (47.483) Prec@5 74.219 (72.848)
Epoch: [84][3470/5005] Time 0.207 (0.210) Data 0.041 (0.048) Loss 2.0613 (2.2954) Prec@1 53.516 (47.488) Prec@5 74.219 (72.851)
Epoch: [84][3480/5005] Time 0.214 (0.210) Data 0.047 (0.048) Loss 2.2658 (2.2952) Prec@1 47.266 (47.494) Prec@5 75.000 (72.856)
Epoch: [84][3490/5005] Time 0.209 (0.210) Data 0.045 (0.048) Loss 2.4361 (2.2953) Prec@1 43.359 (47.491) Prec@5 73.047 (72.856)
Epoch: [84][3500/5005] Time 0.209 (0.210) Data 0.044 (0.048) Loss 2.1498 (2.2953) Prec@1 47.656 (47.489) Prec@5 73.828 (72.856)
Epoch: [84][3510/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.2502 (2.2952) Prec@1 44.922 (47.489) Prec@5 75.781 (72.859)
Epoch: [84][3520/5005] Time 0.206 (0.210) Data 0.043 (0.048) Loss 2.4201 (2.2952) Prec@1 44.531 (47.490) Prec@5 71.484 (72.860)
Epoch: [84][3530/5005] Time 0.198 (0.210) Data 0.052 (0.048) Loss 2.2248 (2.2950) Prec@1 54.297 (47.497) Prec@5 74.219 (72.862)
Epoch: [84][3540/5005] Time 0.209 (0.210) Data 0.049 (0.048) Loss 2.2552 (2.2948) Prec@1 48.828 (47.500) Prec@5 75.781 (72.864)
Epoch: [84][3550/5005] Time 0.210 (0.210) Data 0.061 (0.048) Loss 2.1859 (2.2947) Prec@1 46.875 (47.501) Prec@5 72.266 (72.865)
Epoch: [84][3560/5005] Time 0.204 (0.210) Data 0.061 (0.048) Loss 2.3047 (2.2945) Prec@1 46.094 (47.504) Prec@5 74.609 (72.869)
Epoch: [84][3570/5005] Time 0.202 (0.210) Data 0.045 (0.048) Loss 2.3771 (2.2946) Prec@1 48.438 (47.502) Prec@5 71.875 (72.867)
Epoch: [84][3580/5005] Time 0.207 (0.210) Data 0.041 (0.048) Loss 2.3628 (2.2947) Prec@1 45.703 (47.500) Prec@5 71.094 (72.867)
Epoch: [84][3590/5005] Time 0.200 (0.210) Data 0.057 (0.048) Loss 2.3572 (2.2944) Prec@1 43.359 (47.505) Prec@5 70.703 (72.870)
Epoch: [84][3600/5005] Time 0.215 (0.210) Data 0.047 (0.048) Loss 2.3402 (2.2942) Prec@1 47.656 (47.508) Prec@5 73.047 (72.873)
Epoch: [84][3610/5005] Time 0.208 (0.210) Data 0.046 (0.048) Loss 2.0995 (2.2942) Prec@1 51.953 (47.508) Prec@5 77.344 (72.874)
Epoch: [84][3620/5005] Time 0.208 (0.210) Data 0.065 (0.048) Loss 2.4345 (2.2939) Prec@1 42.188 (47.514) Prec@5 70.312 (72.876)
Epoch: [84][3630/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.6806 (2.2939) Prec@1 37.500 (47.517) Prec@5 66.016 (72.876)
Epoch: [84][3640/5005] Time 0.202 (0.210) Data 0.044 (0.048) Loss 2.4143 (2.2940) Prec@1 41.406 (47.517) Prec@5 67.578 (72.872)
Epoch: [84][3650/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.1084 (2.2940) Prec@1 49.609 (47.515) Prec@5 78.125 (72.871)
Epoch: [84][3660/5005] Time 0.206 (0.210) Data 0.040 (0.048) Loss 2.3793 (2.2938) Prec@1 46.875 (47.516) Prec@5 72.266 (72.875)
Epoch: [84][3670/5005] Time 0.214 (0.210) Data 0.042 (0.048) Loss 2.4481 (2.2938) Prec@1 42.188 (47.515) Prec@5 68.359 (72.875)
Epoch: [84][3680/5005] Time 0.215 (0.210) Data 0.040 (0.048) Loss 2.1784 (2.2938) Prec@1 50.391 (47.516) Prec@5 72.266 (72.874)
Epoch: [84][3690/5005] Time 0.212 (0.210) Data 0.041 (0.048) Loss 2.0754 (2.2938) Prec@1 49.219 (47.515) Prec@5 73.438 (72.875)
Epoch: [84][3700/5005] Time 0.200 (0.210) Data 0.042 (0.048) Loss 2.2329 (2.2938) Prec@1 48.828 (47.516) Prec@5 73.438 (72.875)
Epoch: [84][3710/5005] Time 0.209 (0.210) Data 0.045 (0.048) Loss 2.2348 (2.2939) Prec@1 54.688 (47.514) Prec@5 72.656 (72.873)
Epoch: [84][3720/5005] Time 0.202 (0.210) Data 0.038 (0.048) Loss 2.4177 (2.2938) Prec@1 45.703 (47.515) Prec@5 71.094 (72.873)
Epoch: [84][3730/5005] Time 0.200 (0.210) Data 0.048 (0.048) Loss 2.1378 (2.2937) Prec@1 55.469 (47.517) Prec@5 77.734 (72.875)
Epoch: [84][3740/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.2703 (2.2933) Prec@1 48.438 (47.522) Prec@5 74.219 (72.880)
Epoch: [84][3750/5005] Time 0.200 (0.210) Data 0.045 (0.048) Loss 2.1572 (2.2934) Prec@1 48.047 (47.522) Prec@5 74.609 (72.877)
Epoch: [84][3760/5005] Time 0.204 (0.210) Data 0.044 (0.048) Loss 2.3345 (2.2937) Prec@1 47.656 (47.516) Prec@5 72.266 (72.872)
Epoch: [84][3770/5005] Time 0.203 (0.210) Data 0.045 (0.048) Loss 2.4079 (2.2935) Prec@1 44.141 (47.518) Prec@5 67.969 (72.876)
Epoch: [84][3780/5005] Time 0.197 (0.210) Data 0.042 (0.048) Loss 2.2530 (2.2934) Prec@1 48.438 (47.519) Prec@5 71.875 (72.877)
Epoch: [84][3790/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.4632 (2.2936) Prec@1 42.578 (47.513) Prec@5 71.094 (72.875)
Epoch: [84][3800/5005] Time 0.204 (0.210) Data 0.041 (0.048) Loss 2.3457 (2.2938) Prec@1 49.609 (47.509) Prec@5 69.922 (72.869)
Epoch: [84][3810/5005] Time 0.216 (0.210) Data 0.044 (0.048) Loss 2.2753 (2.2939) Prec@1 47.656 (47.507) Prec@5 72.266 (72.869)
Epoch: [84][3820/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.2710 (2.2938) Prec@1 51.562 (47.511) Prec@5 73.828 (72.873)
Epoch: [84][3830/5005] Time 0.193 (0.210) Data 0.042 (0.048) Loss 2.3664 (2.2936) Prec@1 42.188 (47.510) Prec@5 71.484 (72.876)
Epoch: [84][3840/5005] Time 0.205 (0.210) Data 0.042 (0.048) Loss 2.4432 (2.2937) Prec@1 44.922 (47.508) Prec@5 69.531 (72.873)
Epoch: [84][3850/5005] Time 0.209 (0.210) Data 0.042 (0.048) Loss 2.3828 (2.2936) Prec@1 47.266 (47.507) Prec@5 74.219 (72.876)
Epoch: [84][3860/5005] Time 0.208 (0.210) Data 0.041 (0.048) Loss 1.9448 (2.2935) Prec@1 54.688 (47.512) Prec@5 78.516 (72.880)
Epoch: [84][3870/5005] Time 0.206 (0.210) Data 0.038 (0.048) Loss 2.1998 (2.2936) Prec@1 47.656 (47.508) Prec@5 73.047 (72.876)
Epoch: [84][3880/5005] Time 0.214 (0.210) Data 0.042 (0.048) Loss 2.2443 (2.2936) Prec@1 47.656 (47.507) Prec@5 74.219 (72.876)
Epoch: [84][3890/5005] Time 0.207 (0.210) Data 0.041 (0.048) Loss 2.5288 (2.2935) Prec@1 45.703 (47.510) Prec@5 70.703 (72.875)
Epoch: [84][3900/5005] Time 0.206 (0.210) Data 0.046 (0.048) Loss 2.4791 (2.2935) Prec@1 45.703 (47.512) Prec@5 71.094 (72.877)
Epoch: [84][3910/5005] Time 0.210 (0.210) Data 0.042 (0.048) Loss 2.2936 (2.2935) Prec@1 42.969 (47.513) Prec@5 72.656 (72.878)
Epoch: [84][3920/5005] Time 0.204 (0.210) Data 0.060 (0.048) Loss 2.2167 (2.2935) Prec@1 51.172 (47.514) Prec@5 71.484 (72.879)
Epoch: [84][3930/5005] Time 0.206 (0.210) Data 0.058 (0.048) Loss 2.2508 (2.2933) Prec@1 48.828 (47.518) Prec@5 73.047 (72.881)
Epoch: [84][3940/5005] Time 0.193 (0.210) Data 0.057 (0.048) Loss 2.1853 (2.2932) Prec@1 47.266 (47.519) Prec@5 72.266 (72.882)
Epoch: [84][3950/5005] Time 0.202 (0.210) Data 0.044 (0.048) Loss 2.0875 (2.2929) Prec@1 55.078 (47.524) Prec@5 74.609 (72.886)
Epoch: [84][3960/5005] Time 0.205 (0.210) Data 0.062 (0.048) Loss 2.3349 (2.2930) Prec@1 42.578 (47.519) Prec@5 71.875 (72.886)
Epoch: [84][3970/5005] Time 0.207 (0.210) Data 0.045 (0.048) Loss 2.2321 (2.2930) Prec@1 47.266 (47.517) Prec@5 72.266 (72.885)
Epoch: [84][3980/5005] Time 0.202 (0.210) Data 0.042 (0.048) Loss 2.2077 (2.2929) Prec@1 51.172 (47.519) Prec@5 76.953 (72.886)
Epoch: [84][3990/5005] Time 0.212 (0.210) Data 0.045 (0.048) Loss 2.3125 (2.2929) Prec@1 45.312 (47.519) Prec@5 69.922 (72.887)
Epoch: [84][4000/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.2005 (2.2929) Prec@1 46.484 (47.521) Prec@5 75.781 (72.888)
Epoch: [84][4010/5005] Time 0.209 (0.210) Data 0.044 (0.048) Loss 2.3761 (2.2927) Prec@1 45.703 (47.523) Prec@5 71.094 (72.892)
Epoch: [84][4020/5005] Time 0.214 (0.210) Data 0.044 (0.048) Loss 2.4301 (2.2927) Prec@1 47.656 (47.523) Prec@5 69.531 (72.891)
Epoch: [84][4030/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.4849 (2.2929) Prec@1 44.531 (47.519) Prec@5 69.531 (72.887)
Epoch: [84][4040/5005] Time 0.214 (0.210) Data 0.045 (0.048) Loss 2.2812 (2.2930) Prec@1 49.219 (47.516) Prec@5 71.484 (72.888)
Epoch: [84][4050/5005] Time 0.216 (0.210) Data 0.044 (0.048) Loss 2.5975 (2.2930) Prec@1 39.844 (47.516) Prec@5 69.922 (72.891)
Epoch: [84][4060/5005] Time 0.212 (0.210) Data 0.045 (0.048) Loss 2.3548 (2.2929) Prec@1 46.094 (47.517) Prec@5 68.750 (72.891)
Epoch: [84][4070/5005] Time 0.206 (0.210) Data 0.044 (0.048) Loss 2.3452 (2.2930) Prec@1 44.922 (47.514) Prec@5 72.266 (72.892)
Epoch: [84][4080/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.1339 (2.2929) Prec@1 49.609 (47.515) Prec@5 74.609 (72.890)
Epoch: [84][4090/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.5005 (2.2930) Prec@1 44.141 (47.514) Prec@5 70.703 (72.890)
Epoch: [84][4100/5005] Time 0.218 (0.210) Data 0.040 (0.048) Loss 2.2665 (2.2929) Prec@1 48.438 (47.514) Prec@5 71.484 (72.889)
Epoch: [84][4110/5005] Time 0.207 (0.210) Data 0.045 (0.048) Loss 2.4443 (2.2928) Prec@1 44.141 (47.515) Prec@5 69.922 (72.888)
Epoch: [84][4120/5005] Time 0.203 (0.210) Data 0.060 (0.048) Loss 2.4264 (2.2927) Prec@1 45.703 (47.516) Prec@5 71.094 (72.889)
Epoch: [84][4130/5005] Time 0.207 (0.210) Data 0.063 (0.048) Loss 2.4554 (2.2926) Prec@1 42.578 (47.517) Prec@5 69.531 (72.891)
Epoch: [84][4140/5005] Time 0.210 (0.210) Data 0.050 (0.048) Loss 2.3552 (2.2925) Prec@1 48.047 (47.520) Prec@5 71.094 (72.893)
Epoch: [84][4150/5005] Time 0.199 (0.210) Data 0.043 (0.048) Loss 2.5143 (2.2926) Prec@1 50.000 (47.523) Prec@5 70.703 (72.895)
Epoch: [84][4160/5005] Time 0.216 (0.210) Data 0.048 (0.048) Loss 2.1850 (2.2927) Prec@1 50.000 (47.518) Prec@5 74.609 (72.894)
Epoch: [84][4170/5005] Time 0.217 (0.210) Data 0.048 (0.048) Loss 2.2179 (2.2925) Prec@1 47.656 (47.523) Prec@5 73.828 (72.897)
Epoch: [84][4180/5005] Time 0.208 (0.210) Data 0.047 (0.048) Loss 2.1524 (2.2925) Prec@1 51.172 (47.522) Prec@5 75.391 (72.898)
Epoch: [84][4190/5005] Time 0.206 (0.210) Data 0.046 (0.048) Loss 2.2033 (2.2925) Prec@1 49.219 (47.523) Prec@5 71.094 (72.899)
Epoch: [84][4200/5005] Time 0.207 (0.210) Data 0.060 (0.048) Loss 2.0697 (2.2925) Prec@1 51.172 (47.520) Prec@5 75.391 (72.897)
Epoch: [84][4210/5005] Time 0.207 (0.210) Data 0.046 (0.048) Loss 2.1167 (2.2924) Prec@1 47.656 (47.521) Prec@5 78.906 (72.899)
Epoch: [84][4220/5005] Time 0.206 (0.210) Data 0.048 (0.048) Loss 2.5061 (2.2926) Prec@1 44.922 (47.516) Prec@5 67.578 (72.896)
Epoch: [84][4230/5005] Time 0.200 (0.210) Data 0.048 (0.048) Loss 2.3685 (2.2927) Prec@1 45.703 (47.515) Prec@5 72.656 (72.895)
Epoch: [84][4240/5005] Time 0.206 (0.210) Data 0.048 (0.048) Loss 1.9663 (2.2926) Prec@1 51.172 (47.516) Prec@5 79.297 (72.896)
Epoch: [84][4250/5005] Time 0.198 (0.210) Data 0.046 (0.048) Loss 2.0045 (2.2924) Prec@1 55.469 (47.520) Prec@5 77.344 (72.898)
Epoch: [84][4260/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.1987 (2.2923) Prec@1 45.703 (47.523) Prec@5 75.781 (72.900)
Epoch: [84][4270/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.3843 (2.2924) Prec@1 46.875 (47.522) Prec@5 71.484 (72.898)
Epoch: [84][4280/5005] Time 0.198 (0.210) Data 0.057 (0.048) Loss 2.4041 (2.2924) Prec@1 45.703 (47.522) Prec@5 71.094 (72.896)
Epoch: [84][4290/5005] Time 0.208 (0.210) Data 0.041 (0.048) Loss 2.3947 (2.2924) Prec@1 48.047 (47.522) Prec@5 66.797 (72.895)
Epoch: [84][4300/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.1560 (2.2923) Prec@1 47.266 (47.524) Prec@5 80.078 (72.900)
Epoch: [84][4310/5005] Time 0.208 (0.210) Data 0.042 (0.048) Loss 2.3452 (2.2923) Prec@1 47.656 (47.525) Prec@5 71.875 (72.899)
Epoch: [84][4320/5005] Time 0.195 (0.210) Data 0.060 (0.048) Loss 2.3006 (2.2923) Prec@1 49.609 (47.525) Prec@5 73.438 (72.899)
Epoch: [84][4330/5005] Time 0.205 (0.210) Data 0.051 (0.048) Loss 2.1598 (2.2923) Prec@1 50.391 (47.526) Prec@5 73.438 (72.901)
Epoch: [84][4340/5005] Time 0.206 (0.210) Data 0.043 (0.048) Loss 2.3379 (2.2923) Prec@1 46.875 (47.526) Prec@5 69.531 (72.900)
Epoch: [84][4350/5005] Time 0.208 (0.210) Data 0.048 (0.048) Loss 2.3661 (2.2922) Prec@1 49.219 (47.528) Prec@5 70.312 (72.901)
Epoch: [84][4360/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.0477 (2.2920) Prec@1 49.219 (47.530) Prec@5 77.344 (72.905)
Epoch: [84][4370/5005] Time 0.202 (0.210) Data 0.043 (0.048) Loss 2.2844 (2.2921) Prec@1 45.312 (47.528) Prec@5 75.000 (72.904)
Epoch: [84][4380/5005] Time 0.204 (0.210) Data 0.043 (0.048) Loss 2.3323 (2.2921) Prec@1 44.141 (47.527) Prec@5 72.266 (72.905)
Epoch: [84][4390/5005] Time 0.202 (0.210) Data 0.041 (0.048) Loss 2.4155 (2.2921) Prec@1 41.797 (47.529) Prec@5 70.703 (72.906)
Epoch: [84][4400/5005] Time 0.215 (0.210) Data 0.044 (0.048) Loss 2.1487 (2.2920) Prec@1 49.219 (47.529) Prec@5 72.656 (72.907)
Epoch: [84][4410/5005] Time 0.216 (0.210) Data 0.042 (0.048) Loss 2.3532 (2.2919) Prec@1 43.359 (47.529) Prec@5 71.484 (72.908)
Epoch: [84][4420/5005] Time 0.204 (0.210) Data 0.046 (0.048) Loss 2.0312 (2.2918) Prec@1 52.734 (47.530) Prec@5 74.219 (72.908)
Epoch: [84][4430/5005] Time 0.203 (0.210) Data 0.061 (0.048) Loss 2.3028 (2.2916) Prec@1 45.703 (47.533) Prec@5 69.141 (72.910)
Epoch: [84][4440/5005] Time 0.193 (0.210) Data 0.045 (0.048) Loss 2.4593 (2.2917) Prec@1 42.578 (47.533) Prec@5 69.141 (72.909)
Epoch: [84][4450/5005] Time 0.200 (0.210) Data 0.046 (0.048) Loss 2.1731 (2.2916) Prec@1 47.656 (47.534) Prec@5 73.047 (72.908)
Epoch: [84][4460/5005] Time 0.223 (0.210) Data 0.047 (0.048) Loss 2.2484 (2.2915) Prec@1 48.828 (47.534) Prec@5 71.094 (72.908)
Epoch: [84][4470/5005] Time 0.207 (0.210) Data 0.045 (0.048) Loss 2.2223 (2.2917) Prec@1 47.266 (47.530) Prec@5 73.828 (72.906)
Epoch: [84][4480/5005] Time 0.200 (0.210) Data 0.045 (0.048) Loss 2.1377 (2.2919) Prec@1 49.219 (47.527) Prec@5 73.828 (72.906)
Epoch: [84][4490/5005] Time 0.223 (0.210) Data 0.042 (0.048) Loss 2.2643 (2.2919) Prec@1 46.875 (47.526) Prec@5 73.047 (72.904)
Epoch: [84][4500/5005] Time 0.202 (0.210) Data 0.044 (0.048) Loss 2.2937 (2.2919) Prec@1 48.047 (47.525) Prec@5 71.875 (72.906)
Epoch: [84][4510/5005] Time 0.204 (0.210) Data 0.045 (0.048) Loss 2.1004 (2.2919) Prec@1 55.469 (47.526) Prec@5 74.219 (72.905)
Epoch: [84][4520/5005] Time 0.211 (0.210) Data 0.042 (0.048) Loss 2.2666 (2.2918) Prec@1 48.438 (47.531) Prec@5 72.656 (72.907)
Epoch: [84][4530/5005] Time 0.217 (0.210) Data 0.043 (0.047) Loss 2.1489 (2.2917) Prec@1 48.438 (47.532) Prec@5 76.953 (72.909)
Epoch: [84][4540/5005] Time 0.212 (0.210) Data 0.044 (0.047) Loss 2.3039 (2.2918) Prec@1 46.484 (47.530) Prec@5 71.484 (72.903)
Epoch: [84][4550/5005] Time 0.217 (0.210) Data 0.044 (0.047) Loss 2.2586 (2.2918) Prec@1 47.266 (47.531) Prec@5 71.875 (72.905)
Epoch: [84][4560/5005] Time 0.206 (0.210) Data 0.048 (0.047) Loss 2.2277 (2.2917) Prec@1 50.781 (47.531) Prec@5 72.266 (72.907)
Epoch: [84][4570/5005] Time 0.211 (0.210) Data 0.047 (0.047) Loss 2.3289 (2.2916) Prec@1 50.391 (47.535) Prec@5 72.656 (72.911)
Epoch: [84][4580/5005] Time 0.196 (0.210) Data 0.044 (0.047) Loss 2.3644 (2.2914) Prec@1 40.625 (47.536) Prec@5 72.656 (72.914)
Epoch: [84][4590/5005] Time 0.207 (0.210) Data 0.043 (0.047) Loss 2.1193 (2.2914) Prec@1 53.125 (47.540) Prec@5 76.172 (72.915)
Epoch: [84][4600/5005] Time 0.209 (0.210) Data 0.044 (0.047) Loss 2.1024 (2.2915) Prec@1 49.219 (47.540) Prec@5 75.781 (72.914)
Epoch: [84][4610/5005] Time 0.209 (0.210) Data 0.044 (0.047) Loss 2.0516 (2.2914) Prec@1 52.344 (47.545) Prec@5 77.734 (72.914)
Epoch: [84][4620/5005] Time 0.209 (0.210) Data 0.046 (0.047) Loss 2.2007 (2.2914) Prec@1 50.781 (47.544) Prec@5 75.781 (72.914)
Epoch: [84][4630/5005] Time 0.216 (0.210) Data 0.040 (0.047) Loss 2.1184 (2.2912) Prec@1 52.344 (47.549) Prec@5 77.734 (72.919)
Epoch: [84][4640/5005] Time 0.214 (0.210) Data 0.040 (0.047) Loss 2.1814 (2.2912) Prec@1 52.344 (47.551) Prec@5 74.219 (72.918)
Epoch: [84][4650/5005] Time 0.203 (0.210) Data 0.043 (0.047) Loss 2.2641 (2.2910) Prec@1 48.047 (47.558) Prec@5 72.266 (72.921)
Epoch: [84][4660/5005] Time 0.206 (0.210) Data 0.044 (0.047) Loss 2.5734 (2.2910) Prec@1 41.016 (47.558) Prec@5 67.578 (72.920)
Epoch: [84][4670/5005] Time 0.211 (0.210) Data 0.044 (0.047) Loss 2.1611 (2.2909) Prec@1 48.828 (47.560) Prec@5 76.172 (72.922)
Epoch: [84][4680/5005] Time 0.204 (0.210) Data 0.044 (0.047) Loss 2.1918 (2.2909) Prec@1 45.703 (47.561) Prec@5 76.172 (72.925)
Epoch: [84][4690/5005] Time 0.211 (0.210) Data 0.045 (0.047) Loss 2.2137 (2.2909) Prec@1 48.828 (47.560) Prec@5 75.000 (72.927)
Epoch: [84][4700/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.1514 (2.2908) Prec@1 49.219 (47.562) Prec@5 79.297 (72.927)
Epoch: [84][4710/5005] Time 0.219 (0.210) Data 0.042 (0.047) Loss 2.1371 (2.2907) Prec@1 49.609 (47.563) Prec@5 76.562 (72.930)
Epoch: [84][4720/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.2036 (2.2907) Prec@1 50.391 (47.563) Prec@5 73.438 (72.928)
Epoch: [84][4730/5005] Time 0.211 (0.210) Data 0.050 (0.047) Loss 2.1787 (2.2908) Prec@1 45.312 (47.560) Prec@5 74.609 (72.928)
Epoch: [84][4740/5005] Time 0.206 (0.210) Data 0.058 (0.047) Loss 2.2449 (2.2907) Prec@1 46.484 (47.562) Prec@5 75.000 (72.928)
Epoch: [84][4750/5005] Time 0.206 (0.210) Data 0.044 (0.047) Loss 2.1918 (2.2907) Prec@1 50.781 (47.565) Prec@5 75.000 (72.930)
Epoch: [84][4760/5005] Time 0.206 (0.210) Data 0.064 (0.047) Loss 2.5279 (2.2905) Prec@1 44.531 (47.568) Prec@5 71.484 (72.933)
Epoch: [84][4770/5005] Time 0.209 (0.210) Data 0.046 (0.047) Loss 2.1442 (2.2905) Prec@1 49.219 (47.571) Prec@5 76.562 (72.934)
Epoch: [84][4780/5005] Time 0.208 (0.210) Data 0.047 (0.047) Loss 2.3225 (2.2906) Prec@1 45.703 (47.569) Prec@5 73.438 (72.932)
Epoch: [84][4790/5005] Time 0.201 (0.210) Data 0.042 (0.047) Loss 2.5270 (2.2906) Prec@1 40.625 (47.571) Prec@5 69.141 (72.931)
Epoch: [84][4800/5005] Time 0.199 (0.210) Data 0.049 (0.047) Loss 2.5198 (2.2906) Prec@1 40.234 (47.569) Prec@5 68.750 (72.932)
Epoch: [84][4810/5005] Time 0.199 (0.210) Data 0.047 (0.047) Loss 2.4997 (2.2905) Prec@1 39.844 (47.569) Prec@5 71.094 (72.933)
Epoch: [84][4820/5005] Time 0.218 (0.210) Data 0.042 (0.047) Loss 2.4857 (2.2905) Prec@1 46.094 (47.571) Prec@5 68.359 (72.932)
Epoch: [84][4830/5005] Time 0.210 (0.210) Data 0.043 (0.047) Loss 2.2472 (2.2904) Prec@1 51.562 (47.574) Prec@5 73.438 (72.933)
Epoch: [84][4840/5005] Time 0.211 (0.210) Data 0.042 (0.047) Loss 2.1174 (2.2905) Prec@1 51.172 (47.571) Prec@5 75.391 (72.931)
Epoch: [84][4850/5005] Time 0.204 (0.210) Data 0.043 (0.047) Loss 2.4235 (2.2907) Prec@1 46.875 (47.568) Prec@5 69.141 (72.927)
Epoch: [84][4860/5005] Time 0.207 (0.209) Data 0.040 (0.047) Loss 2.3927 (2.2906) Prec@1 42.969 (47.567) Prec@5 72.656 (72.929)
Epoch: [84][4870/5005] Time 0.217 (0.209) Data 0.042 (0.047) Loss 2.1147 (2.2906) Prec@1 53.125 (47.568) Prec@5 73.047 (72.926)
Epoch: [84][4880/5005] Time 0.208 (0.209) Data 0.045 (0.047) Loss 2.2319 (2.2905) Prec@1 48.438 (47.571) Prec@5 71.094 (72.925)
Epoch: [84][4890/5005] Time 0.204 (0.209) Data 0.055 (0.047) Loss 2.4030 (2.2904) Prec@1 45.703 (47.571) Prec@5 69.922 (72.925)
Epoch: [84][4900/5005] Time 0.214 (0.209) Data 0.044 (0.047) Loss 2.1536 (2.2903) Prec@1 47.656 (47.572) Prec@5 74.609 (72.926)
Epoch: [84][4910/5005] Time 0.205 (0.209) Data 0.049 (0.047) Loss 2.2711 (2.2902) Prec@1 48.438 (47.573) Prec@5 73.438 (72.929)
Epoch: [84][4920/5005] Time 0.196 (0.210) Data 0.060 (0.047) Loss 2.2479 (2.2901) Prec@1 47.266 (47.573) Prec@5 74.609 (72.930)
Epoch: [84][4930/5005] Time 0.262 (0.210) Data 0.070 (0.047) Loss 2.4680 (2.2902) Prec@1 43.750 (47.572) Prec@5 67.188 (72.930)
Epoch: [84][4940/5005] Time 0.196 (0.209) Data 0.045 (0.047) Loss 2.3620 (2.2902) Prec@1 49.609 (47.573) Prec@5 72.266 (72.929)
Epoch: [84][4950/5005] Time 0.212 (0.209) Data 0.042 (0.047) Loss 2.0346 (2.2903) Prec@1 51.953 (47.574) Prec@5 77.344 (72.928)
Epoch: [84][4960/5005] Time 0.202 (0.209) Data 0.046 (0.047) Loss 2.4175 (2.2903) Prec@1 47.656 (47.576) Prec@5 70.703 (72.929)
Epoch: [84][4970/5005] Time 0.208 (0.209) Data 0.040 (0.047) Loss 2.3884 (2.2902) Prec@1 46.875 (47.576) Prec@5 69.922 (72.931)
Epoch: [84][4980/5005] Time 0.208 (0.209) Data 0.041 (0.047) Loss 2.1942 (2.2901) Prec@1 50.000 (47.580) Prec@5 73.047 (72.935)
Epoch: [84][4990/5005] Time 0.206 (0.209) Data 0.024 (0.047) Loss 2.4710 (2.2901) Prec@1 41.406 (47.580) Prec@5 68.750 (72.934)
Epoch: [84][5000/5005] Time 0.207 (0.209) Data 0.021 (0.047) Loss 2.4714 (2.2901) Prec@1 43.750 (47.582) Prec@5 72.266 (72.935)
Test: [0/196] Time 1.262 (1.262) Loss 2.4090 (2.4090) Prec@1 49.219 (49.219) Prec@5 70.312 (70.312)
Test: [10/196] Time 0.306 (0.332) Loss 2.4395 (2.5457) Prec@1 45.703 (44.389) Prec@5 71.094 (69.070)
Test: [20/196] Time 0.044 (0.254) Loss 2.4262 (2.5477) Prec@1 46.094 (44.178) Prec@5 72.266 (69.531)
Test: [30/196] Time 0.046 (0.216) Loss 2.4751 (2.5505) Prec@1 43.750 (44.052) Prec@5 71.484 (69.569)
Test: [40/196] Time 0.044 (0.208) Loss 2.3001 (2.5482) Prec@1 48.828 (44.026) Prec@5 71.094 (69.446)
Test: [50/196] Time 0.053 (0.202) Loss 2.6052 (2.5458) Prec@1 44.922 (44.187) Prec@5 71.875 (69.547)
Test: [60/196] Time 0.043 (0.198) Loss 2.4436 (2.5304) Prec@1 48.828 (44.512) Prec@5 70.703 (69.736)
Test: [70/196] Time 0.047 (0.193) Loss 2.4343 (2.5257) Prec@1 47.656 (44.581) Prec@5 69.141 (69.658)
Test: [80/196] Time 0.078 (0.188) Loss 2.4048 (2.5326) Prec@1 50.391 (44.575) Prec@5 75.781 (69.584)
Test: [90/196] Time 0.516 (0.188) Loss 2.6459 (2.5348) Prec@1 47.266 (44.591) Prec@5 66.406 (69.570)
Test: [100/196] Time 0.531 (0.187) Loss 2.5966 (2.5317) Prec@1 46.094 (44.759) Prec@5 67.188 (69.624)
Test: [110/196] Time 0.949 (0.190) Loss 2.7295 (2.5343) Prec@1 41.016 (44.813) Prec@5 67.969 (69.552)
Test: [120/196] Time 0.599 (0.189) Loss 2.3592 (2.5307) Prec@1 46.094 (44.835) Prec@5 73.828 (69.570)
Test: [130/196] Time 0.045 (0.187) Loss 2.2069 (2.5260) Prec@1 50.781 (44.892) Prec@5 74.609 (69.654)
Test: [140/196] Time 0.053 (0.185) Loss 2.3349 (2.5274) Prec@1 50.391 (44.800) Prec@5 69.141 (69.587)
Test: [150/196] Time 0.095 (0.181) Loss 2.1836 (2.5269) Prec@1 48.438 (44.777) Prec@5 77.734 (69.609)
Test: [160/196] Time 0.690 (0.186) Loss 2.4386 (2.5255) Prec@1 48.828 (44.822) Prec@5 69.922 (69.657)
Test: [170/196] Time 0.044 (0.187) Loss 2.3765 (2.5269) Prec@1 43.750 (44.828) Prec@5 74.609 (69.627)
Test: [180/196] Time 0.045 (0.183) Loss 2.7107 (2.5320) Prec@1 42.188 (44.738) Prec@5 68.359 (69.542)
Test: [190/196] Time 0.043 (0.181) Loss 2.6739 (2.5345) Prec@1 43.750 (44.715) Prec@5 63.672 (69.419)
* Prec@1 44.720 Prec@5 69.412
Learning rate: 1e-06
Epoch: [85][0/5005] Time 1.082 (1.082) Data 0.989 (0.989) Loss 2.1961 (2.1961) Prec@1 50.391 (50.391) Prec@5 74.609 (74.609)
Epoch: [85][10/5005] Time 0.196 (0.291) Data 0.047 (0.134) Loss 2.1784 (2.2618) Prec@1 52.734 (48.082) Prec@5 71.094 (73.260)
Epoch: [85][20/5005] Time 0.202 (0.249) Data 0.051 (0.093) Loss 2.5434 (2.3047) Prec@1 43.750 (47.284) Prec@5 67.969 (72.935)
Epoch: [85][30/5005] Time 0.192 (0.233) Data 0.046 (0.079) Loss 2.3068 (2.2796) Prec@1 48.047 (47.694) Prec@5 70.312 (72.921)
Epoch: [85][40/5005] Time 0.210 (0.226) Data 0.046 (0.071) Loss 2.2055 (2.2785) Prec@1 47.656 (47.780) Prec@5 73.828 (73.028)
Epoch: [85][50/5005] Time 0.205 (0.222) Data 0.042 (0.066) Loss 2.1061 (2.2786) Prec@1 48.438 (47.426) Prec@5 76.953 (73.024)
Epoch: [85][60/5005] Time 0.207 (0.219) Data 0.046 (0.063) Loss 2.1896 (2.2774) Prec@1 44.922 (47.464) Prec@5 77.734 (73.040)
Epoch: [85][70/5005] Time 0.201 (0.217) Data 0.047 (0.060) Loss 2.2018 (2.2890) Prec@1 48.438 (47.200) Prec@5 72.266 (72.827)
Epoch: [85][80/5005] Time 0.202 (0.215) Data 0.052 (0.059) Loss 2.2266 (2.2879) Prec@1 48.047 (47.135) Prec@5 75.781 (72.883)
Epoch: [85][90/5005] Time 0.199 (0.214) Data 0.047 (0.058) Loss 2.2835 (2.2857) Prec@1 47.656 (47.287) Prec@5 76.172 (72.944)
Epoch: [85][100/5005] Time 0.193 (0.213) Data 0.046 (0.057) Loss 2.2009 (2.2885) Prec@1 47.266 (47.281) Prec@5 73.047 (72.761)
Epoch: [85][110/5005] Time 0.216 (0.212) Data 0.043 (0.056) Loss 2.4012 (2.2901) Prec@1 48.828 (47.431) Prec@5 73.438 (72.825)
Epoch: [85][120/5005] Time 0.194 (0.211) Data 0.044 (0.055) Loss 2.3663 (2.2927) Prec@1 44.141 (47.456) Prec@5 73.438 (72.769)
Epoch: [85][130/5005] Time 0.209 (0.210) Data 0.041 (0.054) Loss 2.2028 (2.2940) Prec@1 50.391 (47.430) Prec@5 74.219 (72.761)
Epoch: [85][140/5005] Time 0.199 (0.210) Data 0.041 (0.053) Loss 2.4126 (2.2927) Prec@1 46.484 (47.410) Prec@5 70.703 (72.759)
Epoch: [85][150/5005] Time 0.209 (0.210) Data 0.043 (0.053) Loss 2.3262 (2.2933) Prec@1 48.438 (47.439) Prec@5 72.656 (72.773)
Epoch: [85][160/5005] Time 0.210 (0.210) Data 0.045 (0.052) Loss 2.1898 (2.2919) Prec@1 49.609 (47.438) Prec@5 73.047 (72.802)
Epoch: [85][170/5005] Time 0.222 (0.210) Data 0.047 (0.052) Loss 2.5130 (2.2945) Prec@1 46.875 (47.380) Prec@5 71.875 (72.748)
Epoch: [85][180/5005] Time 0.215 (0.210) Data 0.041 (0.051) Loss 2.3953 (2.2966) Prec@1 50.781 (47.376) Prec@5 69.922 (72.756)
Epoch: [85][190/5005] Time 0.221 (0.211) Data 0.066 (0.051) Loss 2.4250 (2.3002) Prec@1 47.266 (47.257) Prec@5 69.141 (72.644)
Epoch: [85][200/5005] Time 0.223 (0.211) Data 0.042 (0.051) Loss 2.4405 (2.3017) Prec@1 38.672 (47.240) Prec@5 70.703 (72.633)
Epoch: [85][210/5005] Time 0.215 (0.212) Data 0.042 (0.051) Loss 2.0623 (2.3014) Prec@1 53.906 (47.227) Prec@5 76.172 (72.673)
Epoch: [85][220/5005] Time 0.219 (0.212) Data 0.056 (0.051) Loss 2.3639 (2.3020) Prec@1 45.703 (47.239) Prec@5 70.703 (72.654)
Epoch: [85][230/5005] Time 0.220 (0.212) Data 0.043 (0.051) Loss 2.2836 (2.3000) Prec@1 50.000 (47.266) Prec@5 72.266 (72.702)
Epoch: [85][240/5005] Time 0.222 (0.212) Data 0.064 (0.051) Loss 2.2322 (2.2998) Prec@1 51.172 (47.236) Prec@5 74.609 (72.719)
Epoch: [85][250/5005] Time 0.219 (0.213) Data 0.052 (0.051) Loss 2.5184 (2.2989) Prec@1 42.578 (47.273) Prec@5 67.969 (72.734)
Epoch: [85][260/5005] Time 0.216 (0.213) Data 0.051 (0.051) Loss 2.1685 (2.2975) Prec@1 49.609 (47.354) Prec@5 74.609 (72.737)
Epoch: [85][270/5005] Time 0.219 (0.213) Data 0.044 (0.051) Loss 2.3444 (2.2965) Prec@1 45.703 (47.365) Prec@5 73.828 (72.769)
Epoch: [85][280/5005] Time 0.217 (0.213) Data 0.044 (0.051) Loss 2.7229 (2.2988) Prec@1 38.672 (47.303) Prec@5 64.844 (72.704)
Epoch: [85][290/5005] Time 0.215 (0.213) Data 0.048 (0.050) Loss 2.3225 (2.3016) Prec@1 48.438 (47.271) Prec@5 70.703 (72.636)
Epoch: [85][300/5005] Time 0.216 (0.213) Data 0.045 (0.050) Loss 2.1915 (2.3017) Prec@1 50.391 (47.264) Prec@5 75.000 (72.650)
Epoch: [85][310/5005] Time 0.202 (0.213) Data 0.058 (0.050) Loss 2.1761 (2.2993) Prec@1 48.828 (47.320) Prec@5 73.828 (72.714)
Epoch: [85][320/5005] Time 0.207 (0.213) Data 0.054 (0.050) Loss 2.6079 (2.3020) Prec@1 40.625 (47.323) Prec@5 69.141 (72.666)
Epoch: [85][330/5005] Time 0.216 (0.213) Data 0.052 (0.050) Loss 1.9926 (2.3010) Prec@1 50.000 (47.322) Prec@5 77.734 (72.692)
Epoch: [85][340/5005] Time 0.215 (0.213) Data 0.042 (0.050) Loss 2.3895 (2.3042) Prec@1 46.484 (47.253) Prec@5 71.875 (72.665)
Epoch: [85][350/5005] Time 0.211 (0.213) Data 0.048 (0.050) Loss 2.4506 (2.3036) Prec@1 45.312 (47.272) Prec@5 69.922 (72.665)
Epoch: [85][360/5005] Time 0.213 (0.213) Data 0.053 (0.050) Loss 2.3901 (2.3045) Prec@1 48.828 (47.249) Prec@5 70.312 (72.622)
Epoch: [85][370/5005] Time 0.211 (0.213) Data 0.050 (0.050) Loss 2.2902 (2.3028) Prec@1 46.484 (47.257) Prec@5 69.922 (72.655)
Epoch: [85][380/5005] Time 0.206 (0.213) Data 0.064 (0.050) Loss 2.6167 (2.3037) Prec@1 44.922 (47.242) Prec@5 66.406 (72.641)
Epoch: [85][390/5005] Time 0.212 (0.213) Data 0.058 (0.050) Loss 2.2852 (2.3039) Prec@1 48.047 (47.231) Prec@5 74.219 (72.649)
Epoch: [85][400/5005] Time 0.219 (0.213) Data 0.043 (0.050) Loss 2.2647 (2.3042) Prec@1 46.094 (47.196) Prec@5 72.656 (72.645)
Epoch: [85][410/5005] Time 0.211 (0.213) Data 0.047 (0.050) Loss 2.1698 (2.3046) Prec@1 48.828 (47.200) Prec@5 76.562 (72.655)
Epoch: [85][420/5005] Time 0.216 (0.213) Data 0.043 (0.050) Loss 2.2211 (2.3046) Prec@1 48.047 (47.194) Prec@5 75.781 (72.671)
Epoch: [85][430/5005] Time 0.213 (0.213) Data 0.047 (0.050) Loss 2.1858 (2.3052) Prec@1 51.562 (47.176) Prec@5 76.172 (72.664)
Epoch: [85][440/5005] Time 0.211 (0.213) Data 0.045 (0.050) Loss 2.1368 (2.3044) Prec@1 49.219 (47.184) Prec@5 77.734 (72.709)
Epoch: [85][450/5005] Time 0.210 (0.213) Data 0.059 (0.050) Loss 2.0579 (2.3049) Prec@1 44.141 (47.110) Prec@5 76.953 (72.714)
Epoch: [85][460/5005] Time 0.216 (0.213) Data 0.043 (0.050) Loss 2.2769 (2.3054) Prec@1 49.219 (47.099) Prec@5 71.094 (72.724)
Epoch: [85][470/5005] Time 0.220 (0.213) Data 0.046 (0.050) Loss 2.2756 (2.3063) Prec@1 46.094 (47.101) Prec@5 72.266 (72.718)
Epoch: [85][480/5005] Time 0.213 (0.213) Data 0.050 (0.050) Loss 2.2159 (2.3069) Prec@1 47.266 (47.092) Prec@5 73.438 (72.702)
Epoch: [85][490/5005] Time 0.217 (0.213) Data 0.041 (0.050) Loss 2.2867 (2.3075) Prec@1 50.781 (47.068) Prec@5 73.047 (72.697)
Epoch: [85][500/5005] Time 0.212 (0.213) Data 0.043 (0.050) Loss 2.4954 (2.3093) Prec@1 43.750 (47.055) Prec@5 69.922 (72.662)
Epoch: [85][510/5005] Time 0.215 (0.213) Data 0.042 (0.050) Loss 2.5314 (2.3098) Prec@1 41.797 (47.052) Prec@5 66.016 (72.638)
Epoch: [85][520/5005] Time 0.209 (0.213) Data 0.039 (0.050) Loss 2.3981 (2.3096) Prec@1 44.141 (47.049) Prec@5 66.797 (72.642)
Epoch: [85][530/5005] Time 0.211 (0.213) Data 0.042 (0.049) Loss 2.3828 (2.3098) Prec@1 46.875 (47.052) Prec@5 69.531 (72.653)
Epoch: [85][540/5005] Time 0.215 (0.213) Data 0.047 (0.049) Loss 2.3782 (2.3104) Prec@1 47.656 (47.049) Prec@5 69.141 (72.640)
Epoch: [85][550/5005] Time 0.204 (0.213) Data 0.065 (0.049) Loss 2.1850 (2.3096) Prec@1 49.219 (47.069) Prec@5 77.344 (72.655)
Epoch: [85][560/5005] Time 0.209 (0.213) Data 0.051 (0.049) Loss 2.3665 (2.3099) Prec@1 45.703 (47.087) Prec@5 72.656 (72.663)
Epoch: [85][570/5005] Time 0.215 (0.213) Data 0.049 (0.049) Loss 2.3678 (2.3116) Prec@1 45.703 (47.049) Prec@5 71.484 (72.637)
Epoch: [85][580/5005] Time 0.217 (0.213) Data 0.042 (0.049) Loss 2.3054 (2.3113) Prec@1 48.438 (47.068) Prec@5 73.438 (72.622)
Epoch: [85][590/5005] Time 0.213 (0.213) Data 0.046 (0.049) Loss 2.4289 (2.3109) Prec@1 43.750 (47.089) Prec@5 69.922 (72.613)
Epoch: [85][600/5005] Time 0.222 (0.213) Data 0.047 (0.049) Loss 2.1327 (2.3114) Prec@1 49.219 (47.085) Prec@5 75.781 (72.615)
Epoch: [85][610/5005] Time 0.211 (0.213) Data 0.045 (0.049) Loss 2.3622 (2.3112) Prec@1 46.484 (47.086) Prec@5 71.094 (72.611)
Epoch: [85][620/5005] Time 0.220 (0.213) Data 0.048 (0.049) Loss 2.3563 (2.3108) Prec@1 45.703 (47.107) Prec@5 69.531 (72.623)
Epoch: [85][630/5005] Time 0.205 (0.213) Data 0.062 (0.049) Loss 2.4845 (2.3111) Prec@1 46.094 (47.107) Prec@5 66.406 (72.618)
Epoch: [85][640/5005] Time 0.213 (0.213) Data 0.055 (0.050) Loss 2.2622 (2.3107) Prec@1 44.531 (47.107) Prec@5 74.609 (72.635)
Epoch: [85][650/5005] Time 0.211 (0.213) Data 0.044 (0.049) Loss 2.3255 (2.3109) Prec@1 45.312 (47.107) Prec@5 71.484 (72.632)
Epoch: [85][660/5005] Time 0.216 (0.213) Data 0.043 (0.049) Loss 2.5135 (2.3106) Prec@1 42.969 (47.108) Prec@5 72.266 (72.639)
Epoch: [85][670/5005] Time 0.215 (0.213) Data 0.044 (0.049) Loss 2.5070 (2.3106) Prec@1 44.141 (47.122) Prec@5 69.922 (72.636)
Epoch: [85][680/5005] Time 0.204 (0.213) Data 0.041 (0.049) Loss 2.3124 (2.3106) Prec@1 48.047 (47.131) Prec@5 75.781 (72.632)
Epoch: [85][690/5005] Time 0.211 (0.213) Data 0.042 (0.049) Loss 2.2235 (2.3103) Prec@1 51.172 (47.132) Prec@5 75.391 (72.626)
Epoch: [85][700/5005] Time 0.211 (0.213) Data 0.044 (0.049) Loss 2.3617 (2.3099) Prec@1 46.484 (47.131) Prec@5 71.094 (72.635)
Epoch: [85][710/5005] Time 0.207 (0.213) Data 0.043 (0.049) Loss 2.1552 (2.3101) Prec@1 46.484 (47.127) Prec@5 73.828 (72.638)
Epoch: [85][720/5005] Time 0.211 (0.213) Data 0.039 (0.049) Loss 2.2699 (2.3096) Prec@1 45.312 (47.122) Prec@5 74.219 (72.645)
Epoch: [85][730/5005] Time 0.212 (0.213) Data 0.047 (0.049) Loss 2.4235 (2.3097) Prec@1 46.094 (47.141) Prec@5 75.000 (72.643)
Epoch: [85][740/5005] Time 0.208 (0.213) Data 0.039 (0.049) Loss 2.5368 (2.3105) Prec@1 47.266 (47.140) Prec@5 69.141 (72.623)
Epoch: [85][750/5005] Time 0.212 (0.213) Data 0.052 (0.049) Loss 2.1912 (2.3101) Prec@1 47.656 (47.148) Prec@5 73.438 (72.633)
Epoch: [85][760/5005] Time 0.212 (0.213) Data 0.044 (0.049) Loss 2.4400 (2.3104) Prec@1 44.531 (47.131) Prec@5 74.219 (72.632)
Epoch: [85][770/5005] Time 0.204 (0.213) Data 0.047 (0.049) Loss 2.3368 (2.3090) Prec@1 46.875 (47.168) Prec@5 71.875 (72.652)
Epoch: [85][780/5005] Time 0.204 (0.213) Data 0.050 (0.049) Loss 2.3510 (2.3089) Prec@1 41.406 (47.160) Prec@5 73.438 (72.648)
Epoch: [85][790/5005] Time 0.209 (0.213) Data 0.051 (0.049) Loss 2.2334 (2.3086) Prec@1 47.656 (47.158) Prec@5 72.656 (72.656)
Epoch: [85][800/5005] Time 0.203 (0.213) Data 0.053 (0.049) Loss 2.2225 (2.3079) Prec@1 48.438 (47.172) Prec@5 75.000 (72.677)
Epoch: [85][810/5005] Time 0.201 (0.213) Data 0.046 (0.049) Loss 2.3456 (2.3083) Prec@1 45.703 (47.171) Prec@5 74.609 (72.676)
Epoch: [85][820/5005] Time 0.211 (0.213) Data 0.050 (0.049) Loss 2.5633 (2.3088) Prec@1 46.875 (47.152) Prec@5 66.406 (72.671)
Epoch: [85][830/5005] Time 0.203 (0.213) Data 0.044 (0.049) Loss 2.2325 (2.3089) Prec@1 47.266 (47.153) Prec@5 73.438 (72.666)
Epoch: [85][840/5005] Time 0.208 (0.213) Data 0.047 (0.049) Loss 2.2414 (2.3093) Prec@1 45.703 (47.145) Prec@5 71.094 (72.659)
Epoch: [85][850/5005] Time 0.217 (0.213) Data 0.049 (0.049) Loss 2.5379 (2.3091) Prec@1 46.484 (47.155) Prec@5 69.922 (72.659)
Epoch: [85][860/5005] Time 0.206 (0.213) Data 0.041 (0.049) Loss 2.3296 (2.3093) Prec@1 46.094 (47.152) Prec@5 73.828 (72.665)
Epoch: [85][870/5005] Time 0.211 (0.213) Data 0.051 (0.049) Loss 2.2247 (2.3083) Prec@1 49.219 (47.178) Prec@5 76.172 (72.677)
Epoch: [85][880/5005] Time 0.216 (0.213) Data 0.043 (0.049) Loss 2.2837 (2.3083) Prec@1 46.094 (47.180) Prec@5 71.875 (72.670)
Epoch: [85][890/5005] Time 0.208 (0.213) Data 0.047 (0.049) Loss 2.5768 (2.3074) Prec@1 43.359 (47.201) Prec@5 68.750 (72.683)
Epoch: [85][900/5005] Time 0.213 (0.213) Data 0.043 (0.049) Loss 2.2283 (2.3073) Prec@1 48.828 (47.192) Prec@5 73.828 (72.687)
Epoch: [85][910/5005] Time 0.211 (0.213) Data 0.041 (0.049) Loss 2.2154 (2.3072) Prec@1 50.781 (47.194) Prec@5 74.219 (72.686)
Epoch: [85][920/5005] Time 0.206 (0.213) Data 0.051 (0.049) Loss 2.3575 (2.3068) Prec@1 47.266 (47.201) Prec@5 72.656 (72.700)
Epoch: [85][930/5005] Time 0.214 (0.213) Data 0.043 (0.049) Loss 2.3100 (2.3062) Prec@1 44.141 (47.217) Prec@5 71.094 (72.714)
Epoch: [85][940/5005] Time 0.210 (0.213) Data 0.043 (0.049) Loss 2.0799 (2.3064) Prec@1 50.000 (47.225) Prec@5 75.781 (72.709)
Epoch: [85][950/5005] Time 0.216 (0.213) Data 0.046 (0.049) Loss 2.3309 (2.3070) Prec@1 44.922 (47.218) Prec@5 73.828 (72.697)
Epoch: [85][960/5005] Time 0.216 (0.213) Data 0.044 (0.049) Loss 2.4249 (2.3074) Prec@1 46.875 (47.214) Prec@5 71.094 (72.697)
Epoch: [85][970/5005] Time 0.215 (0.213) Data 0.046 (0.049) Loss 2.0923 (2.3071) Prec@1 49.219 (47.210) Prec@5 75.391 (72.697)
Epoch: [85][980/5005] Time 0.202 (0.212) Data 0.051 (0.049) Loss 2.1910 (2.3061) Prec@1 48.047 (47.229) Prec@5 72.656 (72.714)
Epoch: [85][990/5005] Time 0.211 (0.212) Data 0.042 (0.049) Loss 2.3932 (2.3067) Prec@1 43.750 (47.215) Prec@5 71.875 (72.698)
Epoch: [85][1000/5005] Time 0.209 (0.212) Data 0.046 (0.049) Loss 2.2345 (2.3069) Prec@1 49.219 (47.200) Prec@5 74.609 (72.693)
Epoch: [85][1010/5005] Time 0.211 (0.212) Data 0.047 (0.049) Loss 2.4276 (2.3065) Prec@1 44.531 (47.203) Prec@5 69.141 (72.696)
Epoch: [85][1020/5005] Time 0.219 (0.212) Data 0.041 (0.049) Loss 2.1886 (2.3072) Prec@1 51.172 (47.196) Prec@5 74.609 (72.676)
Epoch: [85][1030/5005] Time 0.219 (0.212) Data 0.044 (0.049) Loss 2.1036 (2.3069) Prec@1 51.172 (47.197) Prec@5 76.953 (72.688)
Epoch: [85][1040/5005] Time 0.216 (0.212) Data 0.048 (0.049) Loss 2.2831 (2.3069) Prec@1 46.875 (47.196) Prec@5 75.000 (72.686)
Epoch: [85][1050/5005] Time 0.215 (0.212) Data 0.051 (0.049) Loss 2.4703 (2.3073) Prec@1 42.969 (47.183) Prec@5 70.312 (72.677)
Epoch: [85][1060/5005] Time 0.207 (0.212) Data 0.044 (0.049) Loss 2.4664 (2.3076) Prec@1 44.141 (47.178) Prec@5 70.703 (72.678)
Epoch: [85][1070/5005] Time 0.215 (0.212) Data 0.043 (0.049) Loss 2.3120 (2.3077) Prec@1 48.828 (47.182) Prec@5 71.875 (72.681)
Epoch: [85][1080/5005] Time 0.217 (0.212) Data 0.044 (0.049) Loss 2.3027 (2.3079) Prec@1 47.266 (47.174) Prec@5 71.875 (72.670)
Epoch: [85][1090/5005] Time 0.214 (0.212) Data 0.058 (0.049) Loss 2.2054 (2.3076) Prec@1 44.531 (47.176) Prec@5 73.047 (72.670)
Epoch: [85][1100/5005] Time 0.201 (0.212) Data 0.059 (0.049) Loss 2.1621 (2.3072) Prec@1 44.531 (47.181) Prec@5 75.391 (72.676)
Epoch: [85][1110/5005] Time 0.208 (0.212) Data 0.062 (0.049) Loss 2.2930 (2.3072) Prec@1 46.484 (47.181) Prec@5 72.266 (72.682)
Epoch: [85][1120/5005] Time 0.208 (0.212) Data 0.044 (0.049) Loss 2.1912 (2.3064) Prec@1 50.781 (47.186) Prec@5 74.609 (72.704)
Epoch: [85][1130/5005] Time 0.200 (0.212) Data 0.050 (0.049) Loss 2.4040 (2.3069) Prec@1 48.047 (47.182) Prec@5 71.094 (72.700)
Epoch: [85][1140/5005] Time 0.213 (0.212) Data 0.044 (0.049) Loss 2.2833 (2.3065) Prec@1 51.562 (47.189) Prec@5 73.438 (72.707)
Epoch: [85][1150/5005] Time 0.205 (0.212) Data 0.058 (0.049) Loss 2.1624 (2.3060) Prec@1 46.484 (47.201) Prec@5 74.609 (72.722)
Epoch: [85][1160/5005] Time 0.205 (0.212) Data 0.052 (0.049) Loss 2.3457 (2.3060) Prec@1 46.875 (47.202) Prec@5 73.438 (72.727)
Epoch: [85][1170/5005] Time 0.213 (0.212) Data 0.052 (0.049) Loss 2.1853 (2.3058) Prec@1 48.828 (47.206) Prec@5 77.344 (72.731)
Epoch: [85][1180/5005] Time 0.214 (0.212) Data 0.042 (0.049) Loss 2.4155 (2.3058) Prec@1 43.750 (47.200) Prec@5 69.531 (72.725)
Epoch: [85][1190/5005] Time 0.211 (0.212) Data 0.041 (0.049) Loss 2.1340 (2.3053) Prec@1 53.125 (47.215) Prec@5 75.391 (72.729)
Epoch: [85][1200/5005] Time 0.215 (0.212) Data 0.049 (0.049) Loss 2.3969 (2.3057) Prec@1 49.609 (47.214) Prec@5 72.656 (72.728)
Epoch: [85][1210/5005] Time 0.210 (0.212) Data 0.047 (0.049) Loss 2.2022 (2.3059) Prec@1 50.000 (47.208) Prec@5 75.391 (72.731)
Epoch: [85][1220/5005] Time 0.209 (0.212) Data 0.050 (0.049) Loss 2.3482 (2.3063) Prec@1 46.875 (47.198) Prec@5 69.531 (72.725)
Epoch: [85][1230/5005] Time 0.210 (0.212) Data 0.045 (0.049) Loss 2.4053 (2.3065) Prec@1 44.922 (47.192) Prec@5 69.922 (72.717)
Epoch: [85][1240/5005] Time 0.213 (0.212) Data 0.043 (0.049) Loss 2.3083 (2.3065) Prec@1 47.266 (47.189) Prec@5 73.047 (72.713)
Epoch: [85][1250/5005] Time 0.214 (0.212) Data 0.042 (0.048) Loss 2.5504 (2.3071) Prec@1 41.406 (47.181) Prec@5 68.750 (72.698)
Epoch: [85][1260/5005] Time 0.210 (0.212) Data 0.044 (0.048) Loss 2.0735 (2.3063) Prec@1 49.219 (47.195) Prec@5 76.953 (72.709)
Epoch: [85][1270/5005] Time 0.211 (0.212) Data 0.041 (0.048) Loss 2.3846 (2.3070) Prec@1 46.875 (47.192) Prec@5 69.531 (72.689)
Epoch: [85][1280/5005] Time 0.213 (0.212) Data 0.042 (0.048) Loss 2.1339 (2.3072) Prec@1 50.391 (47.192) Prec@5 74.609 (72.685)
Epoch: [85][1290/5005] Time 0.211 (0.212) Data 0.042 (0.048) Loss 2.0894 (2.3068) Prec@1 51.562 (47.201) Prec@5 77.734 (72.683)
Epoch: [85][1300/5005] Time 0.206 (0.212) Data 0.042 (0.048) Loss 2.1065 (2.3066) Prec@1 49.609 (47.206) Prec@5 76.562 (72.688)
Epoch: [85][1310/5005] Time 0.212 (0.212) Data 0.044 (0.048) Loss 2.3372 (2.3065) Prec@1 46.094 (47.210) Prec@5 73.047 (72.699)
Epoch: [85][1320/5005] Time 0.208 (0.212) Data 0.042 (0.048) Loss 2.3651 (2.3064) Prec@1 46.094 (47.212) Prec@5 74.609 (72.704)
Epoch: [85][1330/5005] Time 0.211 (0.212) Data 0.043 (0.048) Loss 2.5092 (2.3066) Prec@1 44.141 (47.210) Prec@5 70.312 (72.702)
Epoch: [85][1340/5005] Time 0.211 (0.212) Data 0.043 (0.048) Loss 2.3407 (2.3068) Prec@1 44.531 (47.213) Prec@5 73.828 (72.699)
Epoch: [85][1350/5005] Time 0.206 (0.212) Data 0.041 (0.048) Loss 2.6247 (2.3071) Prec@1 40.625 (47.212) Prec@5 69.531 (72.696)
Epoch: [85][1360/5005] Time 0.211 (0.212) Data 0.043 (0.048) Loss 2.1874 (2.3068) Prec@1 49.219 (47.215) Prec@5 73.438 (72.700)
Epoch: [85][1370/5005] Time 0.207 (0.212) Data 0.041 (0.048) Loss 2.3383 (2.3064) Prec@1 45.703 (47.221) Prec@5 71.094 (72.702)
Epoch: [85][1380/5005] Time 0.210 (0.212) Data 0.042 (0.048) Loss 2.3702 (2.3063) Prec@1 46.875 (47.226) Prec@5 73.047 (72.709)
Epoch: [85][1390/5005] Time 0.206 (0.212) Data 0.041 (0.048) Loss 2.1733 (2.3061) Prec@1 49.609 (47.239) Prec@5 77.734 (72.709)
Epoch: [85][1400/5005] Time 0.215 (0.212) Data 0.043 (0.048) Loss 2.2962 (2.3053) Prec@1 46.875 (47.254) Prec@5 72.266 (72.726)
Epoch: [85][1410/5005] Time 0.213 (0.212) Data 0.043 (0.048) Loss 2.2049 (2.3049) Prec@1 49.219 (47.260) Prec@5 76.562 (72.735)
Epoch: [85][1420/5005] Time 0.200 (0.212) Data 0.045 (0.048) Loss 2.5734 (2.3050) Prec@1 41.797 (47.260) Prec@5 68.359 (72.738)
Epoch: [85][1430/5005] Time 0.213 (0.212) Data 0.047 (0.048) Loss 2.0026 (2.3046) Prec@1 54.297 (47.272) Prec@5 79.297 (72.746)
Epoch: [85][1440/5005] Time 0.213 (0.212) Data 0.048 (0.048) Loss 2.1135 (2.3043) Prec@1 50.781 (47.276) Prec@5 75.391 (72.751)
Epoch: [85][1450/5005] Time 0.207 (0.212) Data 0.044 (0.048) Loss 2.1969 (2.3042) Prec@1 50.391 (47.275) Prec@5 73.047 (72.751)
Epoch: [85][1460/5005] Time 0.215 (0.212) Data 0.040 (0.048) Loss 2.4057 (2.3044) Prec@1 47.266 (47.279) Prec@5 68.750 (72.745)
Epoch: [85][1470/5005] Time 0.202 (0.212) Data 0.047 (0.048) Loss 2.3775 (2.3043) Prec@1 45.312 (47.284) Prec@5 72.266 (72.749)
Epoch: [85][1480/5005] Time 0.205 (0.212) Data 0.048 (0.048) Loss 2.1600 (2.3045) Prec@1 50.000 (47.288) Prec@5 77.344 (72.756)
Epoch: [85][1490/5005] Time 0.214 (0.212) Data 0.043 (0.048) Loss 2.4518 (2.3042) Prec@1 46.484 (47.294) Prec@5 71.875 (72.769)
Epoch: [85][1500/5005] Time 0.200 (0.212) Data 0.048 (0.048) Loss 2.3311 (2.3040) Prec@1 47.266 (47.295) Prec@5 71.875 (72.772)
Epoch: [85][1510/5005] Time 0.199 (0.212) Data 0.045 (0.048) Loss 2.1332 (2.3038) Prec@1 50.781 (47.301) Prec@5 71.484 (72.773)
Epoch: [85][1520/5005] Time 0.207 (0.212) Data 0.044 (0.048) Loss 2.3638 (2.3036) Prec@1 46.875 (47.302) Prec@5 74.219 (72.774)
Epoch: [85][1530/5005] Time 0.215 (0.212) Data 0.044 (0.048) Loss 2.4882 (2.3037) Prec@1 45.312 (47.299) Prec@5 70.312 (72.773)
Epoch: [85][1540/5005] Time 0.220 (0.212) Data 0.044 (0.048) Loss 2.5380 (2.3041) Prec@1 46.094 (47.295) Prec@5 65.234 (72.767)
Epoch: [85][1550/5005] Time 0.200 (0.212) Data 0.044 (0.048) Loss 2.2002 (2.3038) Prec@1 49.609 (47.302) Prec@5 74.609 (72.769)
Epoch: [85][1560/5005] Time 0.199 (0.212) Data 0.048 (0.048) Loss 2.2485 (2.3041) Prec@1 49.609 (47.300) Prec@5 72.266 (72.770)
Epoch: [85][1570/5005] Time 0.211 (0.211) Data 0.043 (0.048) Loss 2.3382 (2.3038) Prec@1 47.266 (47.302) Prec@5 72.656 (72.771)
Epoch: [85][1580/5005] Time 0.207 (0.211) Data 0.042 (0.048) Loss 2.1943 (2.3042) Prec@1 46.875 (47.292) Prec@5 75.781 (72.766)
Epoch: [85][1590/5005] Time 0.212 (0.212) Data 0.043 (0.048) Loss 2.2704 (2.3043) Prec@1 48.047 (47.285) Prec@5 72.266 (72.768)
Epoch: [85][1600/5005] Time 0.210 (0.212) Data 0.043 (0.048) Loss 2.3209 (2.3042) Prec@1 47.266 (47.286) Prec@5 71.094 (72.767)
Epoch: [85][1610/5005] Time 0.212 (0.212) Data 0.041 (0.048) Loss 2.4032 (2.3044) Prec@1 46.094 (47.286) Prec@5 72.656 (72.768)
Epoch: [85][1620/5005] Time 0.215 (0.211) Data 0.043 (0.048) Loss 2.4331 (2.3040) Prec@1 42.578 (47.289) Prec@5 73.438 (72.776)
Epoch: [85][1630/5005] Time 0.203 (0.211) Data 0.056 (0.048) Loss 2.2143 (2.3041) Prec@1 47.266 (47.285) Prec@5 72.266 (72.771)
Epoch: [85][1640/5005] Time 0.207 (0.211) Data 0.042 (0.048) Loss 2.3243 (2.3042) Prec@1 48.828 (47.278) Prec@5 72.266 (72.766)
Epoch: [85][1650/5005] Time 0.206 (0.211) Data 0.055 (0.048) Loss 2.4534 (2.3041) Prec@1 43.750 (47.286) Prec@5 69.141 (72.769)
Epoch: [85][1660/5005] Time 0.211 (0.211) Data 0.045 (0.048) Loss 2.2113 (2.3036) Prec@1 51.953 (47.306) Prec@5 74.609 (72.776)
Epoch: [85][1670/5005] Time 0.211 (0.211) Data 0.058 (0.048) Loss 2.2180 (2.3036) Prec@1 51.562 (47.307) Prec@5 74.219 (72.774)
Epoch: [85][1680/5005] Time 0.210 (0.211) Data 0.043 (0.048) Loss 2.5418 (2.3038) Prec@1 44.531 (47.305) Prec@5 70.312 (72.775)
Epoch: [85][1690/5005] Time 0.204 (0.211) Data 0.057 (0.048) Loss 2.1812 (2.3034) Prec@1 49.219 (47.310) Prec@5 75.391 (72.786)
Epoch: [85][1700/5005] Time 0.203 (0.211) Data 0.058 (0.048) Loss 2.2140 (2.3028) Prec@1 46.484 (47.322) Prec@5 76.172 (72.794)
Epoch: [85][1710/5005] Time 0.217 (0.211) Data 0.062 (0.048) Loss 2.2303 (2.3024) Prec@1 46.094 (47.327) Prec@5 74.219 (72.800)
Epoch: [85][1720/5005] Time 0.204 (0.211) Data 0.046 (0.048) Loss 2.3100 (2.3024) Prec@1 44.922 (47.320) Prec@5 73.828 (72.800)
Epoch: [85][1730/5005] Time 0.212 (0.211) Data 0.045 (0.048) Loss 2.3606 (2.3025) Prec@1 43.750 (47.316) Prec@5 72.656 (72.802)
Epoch: [85][1740/5005] Time 0.209 (0.211) Data 0.052 (0.048) Loss 2.5708 (2.3024) Prec@1 41.016 (47.319) Prec@5 67.578 (72.807)
Epoch: [85][1750/5005] Time 0.207 (0.211) Data 0.047 (0.048) Loss 2.2268 (2.3022) Prec@1 44.922 (47.323) Prec@5 74.609 (72.809)
Epoch: [85][1760/5005] Time 0.205 (0.211) Data 0.041 (0.048) Loss 2.0445 (2.3020) Prec@1 52.344 (47.327) Prec@5 78.906 (72.811)
Epoch: [85][1770/5005] Time 0.213 (0.211) Data 0.059 (0.048) Loss 2.3393 (2.3018) Prec@1 46.484 (47.327) Prec@5 72.656 (72.816)
Epoch: [85][1780/5005] Time 0.219 (0.211) Data 0.042 (0.048) Loss 2.2421 (2.3017) Prec@1 46.875 (47.326) Prec@5 72.656 (72.812)
Epoch: [85][1790/5005] Time 0.208 (0.211) Data 0.041 (0.048) Loss 2.2309 (2.3015) Prec@1 48.047 (47.328) Prec@5 73.047 (72.816)
Epoch: [85][1800/5005] Time 0.211 (0.211) Data 0.045 (0.048) Loss 2.1852 (2.3011) Prec@1 47.656 (47.338) Prec@5 73.438 (72.826)
Epoch: [85][1810/5005] Time 0.200 (0.211) Data 0.050 (0.048) Loss 2.2353 (2.3009) Prec@1 49.219 (47.340) Prec@5 75.391 (72.833)
Epoch: [85][1820/5005] Time 0.210 (0.211) Data 0.042 (0.048) Loss 2.3217 (2.3008) Prec@1 46.094 (47.342) Prec@5 72.656 (72.838)
Epoch: [85][1830/5005] Time 0.212 (0.211) Data 0.046 (0.048) Loss 2.0743 (2.3004) Prec@1 53.516 (47.347) Prec@5 78.125 (72.846)
Epoch: [85][1840/5005] Time 0.206 (0.211) Data 0.050 (0.048) Loss 2.3812 (2.3002) Prec@1 42.969 (47.350) Prec@5 70.312 (72.853)
Epoch: [85][1850/5005] Time 0.218 (0.211) Data 0.049 (0.048) Loss 2.2413 (2.2999) Prec@1 44.922 (47.355) Prec@5 74.219 (72.857)
Epoch: [85][1860/5005] Time 0.211 (0.211) Data 0.044 (0.048) Loss 2.2700 (2.3000) Prec@1 52.734 (47.361) Prec@5 71.875 (72.854)
Epoch: [85][1870/5005] Time 0.217 (0.211) Data 0.042 (0.048) Loss 2.3800 (2.3004) Prec@1 43.750 (47.350) Prec@5 72.266 (72.846)
Epoch: [85][1880/5005] Time 0.210 (0.211) Data 0.043 (0.048) Loss 2.3339 (2.3007) Prec@1 44.922 (47.344) Prec@5 73.828 (72.843)
Epoch: [85][1890/5005] Time 0.213 (0.211) Data 0.044 (0.048) Loss 2.2513 (2.3006) Prec@1 49.219 (47.350) Prec@5 75.391 (72.842)
Epoch: [85][1900/5005] Time 0.211 (0.211) Data 0.043 (0.048) Loss 2.2990 (2.3012) Prec@1 44.141 (47.336) Prec@5 73.438 (72.835)
Epoch: [85][1910/5005] Time 0.202 (0.211) Data 0.042 (0.048) Loss 2.2375 (2.3012) Prec@1 45.312 (47.329) Prec@5 73.047 (72.829)
Epoch: [85][1920/5005] Time 0.215 (0.211) Data 0.042 (0.048) Loss 2.1622 (2.3009) Prec@1 47.656 (47.329) Prec@5 76.953 (72.837)
Epoch: [85][1930/5005] Time 0.213 (0.211) Data 0.044 (0.048) Loss 2.1851 (2.3008) Prec@1 48.828 (47.331) Prec@5 72.656 (72.841)
Epoch: [85][1940/5005] Time 0.204 (0.211) Data 0.052 (0.048) Loss 2.0847 (2.3005) Prec@1 51.562 (47.337) Prec@5 76.562 (72.841)
Epoch: [85][1950/5005] Time 0.210 (0.211) Data 0.044 (0.048) Loss 2.3538 (2.3005) Prec@1 45.703 (47.333) Prec@5 69.531 (72.839)
Epoch: [85][1960/5005] Time 0.209 (0.211) Data 0.043 (0.048) Loss 2.2292 (2.3001) Prec@1 49.609 (47.348) Prec@5 76.562 (72.850)
Epoch: [85][1970/5005] Time 0.204 (0.211) Data 0.043 (0.048) Loss 2.3333 (2.3000) Prec@1 44.922 (47.351) Prec@5 73.047 (72.852)
Epoch: [85][1980/5005] Time 0.211 (0.211) Data 0.043 (0.048) Loss 2.1912 (2.3001) Prec@1 48.828 (47.352) Prec@5 73.828 (72.847)
Epoch: [85][1990/5005] Time 0.205 (0.211) Data 0.040 (0.048) Loss 2.2107 (2.3000) Prec@1 48.828 (47.353) Prec@5 71.484 (72.849)
Epoch: [85][2000/5005] Time 0.198 (0.211) Data 0.052 (0.048) Loss 2.3137 (2.3002) Prec@1 47.656 (47.350) Prec@5 73.047 (72.845)
Epoch: [85][2010/5005] Time 0.208 (0.211) Data 0.039 (0.048) Loss 2.1892 (2.3003) Prec@1 50.000 (47.348) Prec@5 75.391 (72.844)
Epoch: [85][2020/5005] Time 0.206 (0.211) Data 0.043 (0.048) Loss 2.2917 (2.3004) Prec@1 48.438 (47.349) Prec@5 73.438 (72.844)
Epoch: [85][2030/5005] Time 0.203 (0.211) Data 0.046 (0.048) Loss 2.2472 (2.3004) Prec@1 48.047 (47.351) Prec@5 74.609 (72.842)
Epoch: [85][2040/5005] Time 0.216 (0.211) Data 0.043 (0.048) Loss 2.1208 (2.3002) Prec@1 48.438 (47.351) Prec@5 77.734 (72.848)
Epoch: [85][2050/5005] Time 0.199 (0.211) Data 0.045 (0.048) Loss 2.4009 (2.3002) Prec@1 46.094 (47.351) Prec@5 71.094 (72.847)
Epoch: [85][2060/5005] Time 0.197 (0.211) Data 0.058 (0.048) Loss 2.2959 (2.3002) Prec@1 47.266 (47.347) Prec@5 71.875 (72.848)
Epoch: [85][2070/5005] Time 0.203 (0.211) Data 0.040 (0.048) Loss 2.5808 (2.3003) Prec@1 43.359 (47.346) Prec@5 66.797 (72.844)
Epoch: [85][2080/5005] Time 0.208 (0.211) Data 0.051 (0.048) Loss 2.3524 (2.3002) Prec@1 48.047 (47.349) Prec@5 75.000 (72.847)
Epoch: [85][2090/5005] Time 0.201 (0.211) Data 0.055 (0.048) Loss 2.1604 (2.3000) Prec@1 50.000 (47.354) Prec@5 75.000 (72.850)
Epoch: [85][2100/5005] Time 0.215 (0.211) Data 0.048 (0.048) Loss 2.3456 (2.2997) Prec@1 43.750 (47.359) Prec@5 72.266 (72.850)
Epoch: [85][2110/5005] Time 0.203 (0.211) Data 0.046 (0.048) Loss 2.1326 (2.2997) Prec@1 48.828 (47.364) Prec@5 75.391 (72.849)
Epoch: [85][2120/5005] Time 0.208 (0.211) Data 0.043 (0.048) Loss 2.3930 (2.2998) Prec@1 46.484 (47.361) Prec@5 70.703 (72.853)
Epoch: [85][2130/5005] Time 0.205 (0.211) Data 0.048 (0.048) Loss 2.2819 (2.2993) Prec@1 46.875 (47.371) Prec@5 73.438 (72.860)
Epoch: [85][2140/5005] Time 0.217 (0.211) Data 0.046 (0.048) Loss 2.1589 (2.2993) Prec@1 50.781 (47.370) Prec@5 76.172 (72.862)
Epoch: [85][2150/5005] Time 0.199 (0.211) Data 0.056 (0.048) Loss 2.1380 (2.2993) Prec@1 48.438 (47.371) Prec@5 74.219 (72.863)
Epoch: [85][2160/5005] Time 0.203 (0.211) Data 0.050 (0.048) Loss 2.2507 (2.2991) Prec@1 46.094 (47.371) Prec@5 75.000 (72.869)
Epoch: [85][2170/5005] Time 0.206 (0.211) Data 0.047 (0.048) Loss 2.1106 (2.2988) Prec@1 50.781 (47.377) Prec@5 77.344 (72.874)
Epoch: [85][2180/5005] Time 0.209 (0.211) Data 0.043 (0.048) Loss 2.3864 (2.2989) Prec@1 48.828 (47.377) Prec@5 71.484 (72.875)
Epoch: [85][2190/5005] Time 0.214 (0.211) Data 0.042 (0.048) Loss 2.4633 (2.2990) Prec@1 45.312 (47.380) Prec@5 69.141 (72.875)
Epoch: [85][2200/5005] Time 0.219 (0.211) Data 0.046 (0.048) Loss 2.1526 (2.2991) Prec@1 48.047 (47.381) Prec@5 73.047 (72.871)
Epoch: [85][2210/5005] Time 0.214 (0.211) Data 0.042 (0.048) Loss 2.5025 (2.2994) Prec@1 45.703 (47.379) Prec@5 67.578 (72.865)
Epoch: [85][2220/5005] Time 0.207 (0.211) Data 0.045 (0.048) Loss 2.4590 (2.2993) Prec@1 47.656 (47.381) Prec@5 69.922 (72.865)
Epoch: [85][2230/5005] Time 0.216 (0.211) Data 0.044 (0.048) Loss 2.3221 (2.2992) Prec@1 46.484 (47.380) Prec@5 73.828 (72.866)
Epoch: [85][2240/5005] Time 0.210 (0.211) Data 0.059 (0.048) Loss 2.4729 (2.2992) Prec@1 43.750 (47.381) Prec@5 71.875 (72.866)
Epoch: [85][2250/5005] Time 0.217 (0.211) Data 0.046 (0.048) Loss 2.1530 (2.2992) Prec@1 47.656 (47.382) Prec@5 74.609 (72.866)
Epoch: [85][2260/5005] Time 0.208 (0.211) Data 0.043 (0.048) Loss 2.1963 (2.2989) Prec@1 45.703 (47.384) Prec@5 73.047 (72.872)
Epoch: [85][2270/5005] Time 0.208 (0.211) Data 0.046 (0.048) Loss 2.3422 (2.2987) Prec@1 44.141 (47.384) Prec@5 68.750 (72.875)
Epoch: [85][2280/5005] Time 0.208 (0.211) Data 0.048 (0.048) Loss 2.3591 (2.2987) Prec@1 47.656 (47.385) Prec@5 71.094 (72.877)
Epoch: [85][2290/5005] Time 0.207 (0.211) Data 0.044 (0.048) Loss 2.1766 (2.2987) Prec@1 48.047 (47.380) Prec@5 76.172 (72.876)
Epoch: [85][2300/5005] Time 0.207 (0.211) Data 0.042 (0.048) Loss 2.3527 (2.2989) Prec@1 43.750 (47.382) Prec@5 71.875 (72.873)
Epoch: [85][2310/5005] Time 0.211 (0.211) Data 0.044 (0.048) Loss 2.1257 (2.2988) Prec@1 53.125 (47.392) Prec@5 73.047 (72.875)
Epoch: [85][2320/5005] Time 0.215 (0.211) Data 0.044 (0.048) Loss 2.2948 (2.2986) Prec@1 48.047 (47.394) Prec@5 72.266 (72.876)
Epoch: [85][2330/5005] Time 0.213 (0.211) Data 0.044 (0.048) Loss 2.2930 (2.2986) Prec@1 48.828 (47.397) Prec@5 71.875 (72.877)
Epoch: [85][2340/5005] Time 0.208 (0.211) Data 0.043 (0.048) Loss 2.1746 (2.2983) Prec@1 47.266 (47.402) Prec@5 73.828 (72.881)
Epoch: [85][2350/5005] Time 0.212 (0.211) Data 0.042 (0.048) Loss 2.2723 (2.2983) Prec@1 44.141 (47.402) Prec@5 72.656 (72.877)
Epoch: [85][2360/5005] Time 0.211 (0.211) Data 0.042 (0.048) Loss 2.3406 (2.2984) Prec@1 46.484 (47.398) Prec@5 68.750 (72.874)
Epoch: [85][2370/5005] Time 0.201 (0.211) Data 0.056 (0.048) Loss 2.2986 (2.2985) Prec@1 48.438 (47.393) Prec@5 71.484 (72.869)
Epoch: [85][2380/5005] Time 0.206 (0.211) Data 0.050 (0.048) Loss 2.3569 (2.2982) Prec@1 43.750 (47.397) Prec@5 71.484 (72.872)
Epoch: [85][2390/5005] Time 0.213 (0.211) Data 0.046 (0.048) Loss 2.3886 (2.2980) Prec@1 43.359 (47.398) Prec@5 71.875 (72.873)
Epoch: [85][2400/5005] Time 0.207 (0.211) Data 0.051 (0.048) Loss 2.2784 (2.2980) Prec@1 47.266 (47.395) Prec@5 71.875 (72.873)
Epoch: [85][2410/5005] Time 0.207 (0.211) Data 0.049 (0.048) Loss 2.5398 (2.2981) Prec@1 43.750 (47.393) Prec@5 68.359 (72.868)
Epoch: [85][2420/5005] Time 0.200 (0.211) Data 0.058 (0.048) Loss 2.3980 (2.2979) Prec@1 45.312 (47.399) Prec@5 71.875 (72.871)
Epoch: [85][2430/5005] Time 0.211 (0.211) Data 0.048 (0.048) Loss 2.1056 (2.2980) Prec@1 49.219 (47.395) Prec@5 72.656 (72.869)
Epoch: [85][2440/5005] Time 0.198 (0.211) Data 0.056 (0.048) Loss 2.0757 (2.2978) Prec@1 50.000 (47.396) Prec@5 76.953 (72.872)
Epoch: [85][2450/5005] Time 0.203 (0.211) Data 0.046 (0.048) Loss 2.1592 (2.2978) Prec@1 46.875 (47.397) Prec@5 75.000 (72.872)
Epoch: [85][2460/5005] Time 0.214 (0.211) Data 0.045 (0.048) Loss 2.2809 (2.2977) Prec@1 47.266 (47.399) Prec@5 72.266 (72.870)
Epoch: [85][2470/5005] Time 0.213 (0.211) Data 0.043 (0.048) Loss 2.1158 (2.2975) Prec@1 51.172 (47.401) Prec@5 76.562 (72.875)
Epoch: [85][2480/5005] Time 0.214 (0.211) Data 0.043 (0.048) Loss 2.5220 (2.2977) Prec@1 42.969 (47.398) Prec@5 70.312 (72.872)
Epoch: [85][2490/5005] Time 0.201 (0.211) Data 0.061 (0.048) Loss 2.0356 (2.2977) Prec@1 49.609 (47.397) Prec@5 80.078 (72.872)
Epoch: [85][2500/5005] Time 0.214 (0.211) Data 0.047 (0.048) Loss 2.3643 (2.2977) Prec@1 48.438 (47.396) Prec@5 71.875 (72.871)
Epoch: [85][2510/5005] Time 0.203 (0.211) Data 0.044 (0.048) Loss 2.4748 (2.2979) Prec@1 50.000 (47.390) Prec@5 71.875 (72.867)
Epoch: [85][2520/5005] Time 0.204 (0.211) Data 0.053 (0.048) Loss 2.3276 (2.2978) Prec@1 53.516 (47.394) Prec@5 70.703 (72.867)
Epoch: [85][2530/5005] Time 0.201 (0.211) Data 0.045 (0.048) Loss 2.3889 (2.2979) Prec@1 46.484 (47.395) Prec@5 71.094 (72.861)
Epoch: [85][2540/5005] Time 0.210 (0.211) Data 0.046 (0.048) Loss 2.2234 (2.2978) Prec@1 46.875 (47.398) Prec@5 72.656 (72.861)
Epoch: [85][2550/5005] Time 0.204 (0.211) Data 0.050 (0.048) Loss 2.2310 (2.2978) Prec@1 44.531 (47.397) Prec@5 75.391 (72.863)
Epoch: [85][2560/5005] Time 0.204 (0.211) Data 0.047 (0.048) Loss 2.5930 (2.2979) Prec@1 42.969 (47.398) Prec@5 70.312 (72.860)
Epoch: [85][2570/5005] Time 0.206 (0.211) Data 0.042 (0.048) Loss 2.3496 (2.2981) Prec@1 45.312 (47.397) Prec@5 72.656 (72.858)
Epoch: [85][2580/5005] Time 0.202 (0.211) Data 0.046 (0.048) Loss 2.3189 (2.2984) Prec@1 48.828 (47.394) Prec@5 72.266 (72.853)
Epoch: [85][2590/5005] Time 0.209 (0.211) Data 0.059 (0.048) Loss 2.3605 (2.2982) Prec@1 46.094 (47.398) Prec@5 71.094 (72.854)
Epoch: [85][2600/5005] Time 0.210 (0.211) Data 0.047 (0.048) Loss 2.3361 (2.2984) Prec@1 45.312 (47.392) Prec@5 72.266 (72.851)
Epoch: [85][2610/5005] Time 0.206 (0.211) Data 0.046 (0.048) Loss 2.3981 (2.2982) Prec@1 45.703 (47.397) Prec@5 71.875 (72.855)
Epoch: [85][2620/5005] Time 0.212 (0.211) Data 0.045 (0.048) Loss 2.2169 (2.2981) Prec@1 48.828 (47.399) Prec@5 74.219 (72.854)
Epoch: [85][2630/5005] Time 0.198 (0.211) Data 0.046 (0.048) Loss 2.4820 (2.2985) Prec@1 44.531 (47.395) Prec@5 71.875 (72.845)
Epoch: [85][2640/5005] Time 0.210 (0.211) Data 0.051 (0.048) Loss 2.4520 (2.2984) Prec@1 40.625 (47.396) Prec@5 69.141 (72.847)
Epoch: [85][2650/5005] Time 0.208 (0.211) Data 0.046 (0.048) Loss 2.3985 (2.2984) Prec@1 42.578 (47.392) Prec@5 71.094 (72.847)
Epoch: [85][2660/5005] Time 0.208 (0.211) Data 0.046 (0.048) Loss 2.4213 (2.2984) Prec@1 41.797 (47.393) Prec@5 69.922 (72.846)
Epoch: [85][2670/5005] Time 0.215 (0.211) Data 0.043 (0.048) Loss 1.9913 (2.2982) Prec@1 53.516 (47.401) Prec@5 77.734 (72.847)
Epoch: [85][2680/5005] Time 0.207 (0.211) Data 0.046 (0.048) Loss 2.2750 (2.2983) Prec@1 45.703 (47.397) Prec@5 72.656 (72.845)
Epoch: [85][2690/5005] Time 0.211 (0.211) Data 0.042 (0.048) Loss 2.2613 (2.2982) Prec@1 51.953 (47.400) Prec@5 71.484 (72.842)
Epoch: [85][2700/5005] Time 0.212 (0.211) Data 0.041 (0.048) Loss 2.1707 (2.2982) Prec@1 48.438 (47.398) Prec@5 75.000 (72.844)
Epoch: [85][2710/5005] Time 0.202 (0.211) Data 0.043 (0.048) Loss 2.1813 (2.2984) Prec@1 51.172 (47.395) Prec@5 72.656 (72.838)
Epoch: [85][2720/5005] Time 0.216 (0.211) Data 0.044 (0.048) Loss 2.2123 (2.2986) Prec@1 52.344 (47.393) Prec@5 76.172 (72.835)
Epoch: [85][2730/5005] Time 0.210 (0.211) Data 0.063 (0.048) Loss 2.5016 (2.2985) Prec@1 46.094 (47.394) Prec@5 69.922 (72.837)
Epoch: [85][2740/5005] Time 0.218 (0.211) Data 0.044 (0.048) Loss 2.0732 (2.2983) Prec@1 51.172 (47.402) Prec@5 76.953 (72.839)
Epoch: [85][2750/5005] Time 0.198 (0.211) Data 0.052 (0.048) Loss 2.2034 (2.2981) Prec@1 44.922 (47.406) Prec@5 76.562 (72.843)
Epoch: [85][2760/5005] Time 0.204 (0.211) Data 0.041 (0.048) Loss 2.3937 (2.2980) Prec@1 49.609 (47.408) Prec@5 71.094 (72.846)
Epoch: [85][2770/5005] Time 0.209 (0.210) Data 0.064 (0.048) Loss 2.1320 (2.2980) Prec@1 48.828 (47.404) Prec@5 76.953 (72.848)
Epoch: [85][2780/5005] Time 0.202 (0.210) Data 0.050 (0.048) Loss 2.5514 (2.2981) Prec@1 43.359 (47.406) Prec@5 68.750 (72.845)
Epoch: [85][2790/5005] Time 0.202 (0.210) Data 0.045 (0.048) Loss 2.6159 (2.2982) Prec@1 41.797 (47.404) Prec@5 64.062 (72.838)
Epoch: [85][2800/5005] Time 0.199 (0.210) Data 0.050 (0.048) Loss 2.1200 (2.2981) Prec@1 52.734 (47.408) Prec@5 75.391 (72.840)
Epoch: [85][2810/5005] Time 0.208 (0.210) Data 0.044 (0.048) Loss 2.3978 (2.2982) Prec@1 45.703 (47.405) Prec@5 71.875 (72.839)
Epoch: [85][2820/5005] Time 0.203 (0.210) Data 0.044 (0.048) Loss 1.9332 (2.2982) Prec@1 54.297 (47.405) Prec@5 79.297 (72.841)
Epoch: [85][2830/5005] Time 0.204 (0.210) Data 0.048 (0.048) Loss 2.5720 (2.2983) Prec@1 39.844 (47.403) Prec@5 70.312 (72.838)
Epoch: [85][2840/5005] Time 0.206 (0.210) Data 0.041 (0.048) Loss 2.3273 (2.2983) Prec@1 44.922 (47.405) Prec@5 71.875 (72.837)
Epoch: [85][2850/5005] Time 0.205 (0.210) Data 0.041 (0.048) Loss 2.3520 (2.2981) Prec@1 48.828 (47.409) Prec@5 69.922 (72.837)
Epoch: [85][2860/5005] Time 0.198 (0.210) Data 0.049 (0.048) Loss 2.3095 (2.2983) Prec@1 50.000 (47.408) Prec@5 72.266 (72.834)
Epoch: [85][2870/5005] Time 0.201 (0.210) Data 0.041 (0.048) Loss 2.1796 (2.2980) Prec@1 52.344 (47.415) Prec@5 74.609 (72.840)
Epoch: [85][2880/5005] Time 0.205 (0.210) Data 0.048 (0.048) Loss 2.2392 (2.2980) Prec@1 47.266 (47.416) Prec@5 74.219 (72.840)
Epoch: [85][2890/5005] Time 0.210 (0.210) Data 0.039 (0.048) Loss 2.2635 (2.2978) Prec@1 44.922 (47.417) Prec@5 72.266 (72.843)
Epoch: [85][2900/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.0482 (2.2975) Prec@1 47.656 (47.422) Prec@5 78.125 (72.848)
Epoch: [85][2910/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.2979 (2.2977) Prec@1 46.484 (47.419) Prec@5 71.875 (72.847)
Epoch: [85][2920/5005] Time 0.207 (0.210) Data 0.057 (0.048) Loss 2.5119 (2.2976) Prec@1 39.844 (47.420) Prec@5 68.359 (72.847)
Epoch: [85][2930/5005] Time 0.206 (0.210) Data 0.044 (0.048) Loss 2.5500 (2.2978) Prec@1 41.016 (47.415) Prec@5 70.312 (72.841)
Epoch: [85][2940/5005] Time 0.213 (0.210) Data 0.042 (0.048) Loss 2.3499 (2.2977) Prec@1 48.828 (47.415) Prec@5 71.094 (72.843)
Epoch: [85][2950/5005] Time 0.201 (0.210) Data 0.046 (0.048) Loss 2.2988 (2.2974) Prec@1 42.578 (47.418) Prec@5 73.438 (72.847)
Epoch: [85][2960/5005] Time 0.213 (0.210) Data 0.044 (0.048) Loss 2.2205 (2.2972) Prec@1 48.047 (47.423) Prec@5 73.828 (72.848)
Epoch: [85][2970/5005] Time 0.211 (0.210) Data 0.054 (0.048) Loss 2.3171 (2.2970) Prec@1 44.141 (47.428) Prec@5 70.703 (72.854)
Epoch: [85][2980/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.4096 (2.2971) Prec@1 45.703 (47.429) Prec@5 67.578 (72.850)
Epoch: [85][2990/5005] Time 0.207 (0.210) Data 0.046 (0.048) Loss 2.3763 (2.2972) Prec@1 44.531 (47.431) Prec@5 68.359 (72.848)
Epoch: [85][3000/5005] Time 0.210 (0.210) Data 0.062 (0.048) Loss 2.4092 (2.2970) Prec@1 47.656 (47.432) Prec@5 70.703 (72.851)
Epoch: [85][3010/5005] Time 0.197 (0.210) Data 0.045 (0.048) Loss 2.3315 (2.2972) Prec@1 44.531 (47.426) Prec@5 71.484 (72.850)
Epoch: [85][3020/5005] Time 0.222 (0.210) Data 0.047 (0.048) Loss 2.2326 (2.2973) Prec@1 48.438 (47.427) Prec@5 73.047 (72.845)
Epoch: [85][3030/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.3241 (2.2973) Prec@1 47.266 (47.431) Prec@5 73.438 (72.845)
Epoch: [85][3040/5005] Time 0.205 (0.210) Data 0.048 (0.048) Loss 2.1393 (2.2972) Prec@1 51.562 (47.436) Prec@5 76.172 (72.846)
Epoch: [85][3050/5005] Time 0.199 (0.210) Data 0.046 (0.048) Loss 2.3607 (2.2972) Prec@1 44.531 (47.436) Prec@5 75.000 (72.847)
Epoch: [85][3060/5005] Time 0.205 (0.210) Data 0.048 (0.048) Loss 2.0715 (2.2971) Prec@1 53.125 (47.437) Prec@5 75.781 (72.849)
Epoch: [85][3070/5005] Time 0.215 (0.210) Data 0.049 (0.048) Loss 2.2588 (2.2971) Prec@1 47.266 (47.437) Prec@5 72.266 (72.849)
Epoch: [85][3080/5005] Time 0.210 (0.210) Data 0.052 (0.048) Loss 2.1719 (2.2973) Prec@1 46.875 (47.429) Prec@5 75.781 (72.847)
Epoch: [85][3090/5005] Time 0.210 (0.210) Data 0.049 (0.048) Loss 2.4938 (2.2972) Prec@1 41.016 (47.430) Prec@5 67.969 (72.849)
Epoch: [85][3100/5005] Time 0.203 (0.210) Data 0.062 (0.048) Loss 2.3167 (2.2974) Prec@1 46.094 (47.425) Prec@5 71.875 (72.847)
Epoch: [85][3110/5005] Time 0.209 (0.210) Data 0.049 (0.048) Loss 2.1647 (2.2971) Prec@1 46.875 (47.429) Prec@5 75.781 (72.850)
Epoch: [85][3120/5005] Time 0.222 (0.210) Data 0.045 (0.048) Loss 2.1788 (2.2970) Prec@1 45.703 (47.426) Prec@5 75.000 (72.849)
Epoch: [85][3130/5005] Time 0.201 (0.210) Data 0.043 (0.048) Loss 2.3370 (2.2968) Prec@1 43.750 (47.432) Prec@5 68.750 (72.853)
Epoch: [85][3140/5005] Time 0.202 (0.210) Data 0.043 (0.048) Loss 2.0307 (2.2965) Prec@1 55.078 (47.438) Prec@5 75.781 (72.859)
Epoch: [85][3150/5005] Time 0.213 (0.210) Data 0.046 (0.048) Loss 2.2042 (2.2962) Prec@1 51.172 (47.446) Prec@5 73.828 (72.861)
Epoch: [85][3160/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.1973 (2.2962) Prec@1 47.266 (47.448) Prec@5 73.438 (72.863)
Epoch: [85][3170/5005] Time 0.207 (0.210) Data 0.045 (0.048) Loss 2.2986 (2.2962) Prec@1 47.266 (47.450) Prec@5 68.750 (72.861)
Epoch: [85][3180/5005] Time 0.204 (0.210) Data 0.042 (0.048) Loss 2.1660 (2.2962) Prec@1 54.297 (47.451) Prec@5 73.828 (72.860)
Epoch: [85][3190/5005] Time 0.204 (0.210) Data 0.047 (0.048) Loss 2.2475 (2.2962) Prec@1 46.484 (47.450) Prec@5 73.047 (72.859)
Epoch: [85][3200/5005] Time 0.208 (0.210) Data 0.039 (0.048) Loss 2.1481 (2.2960) Prec@1 48.047 (47.455) Prec@5 74.609 (72.862)
Epoch: [85][3210/5005] Time 0.200 (0.210) Data 0.067 (0.048) Loss 2.4050 (2.2961) Prec@1 44.141 (47.453) Prec@5 71.094 (72.861)
Epoch: [85][3220/5005] Time 0.200 (0.210) Data 0.049 (0.048) Loss 2.1909 (2.2961) Prec@1 52.734 (47.457) Prec@5 76.172 (72.859)
Epoch: [85][3230/5005] Time 0.200 (0.210) Data 0.050 (0.048) Loss 2.2476 (2.2958) Prec@1 46.484 (47.458) Prec@5 73.438 (72.864)
Epoch: [85][3240/5005] Time 0.218 (0.210) Data 0.048 (0.048) Loss 2.5700 (2.2961) Prec@1 40.234 (47.451) Prec@5 68.750 (72.856)
Epoch: [85][3250/5005] Time 0.208 (0.210) Data 0.047 (0.048) Loss 2.2321 (2.2962) Prec@1 49.609 (47.454) Prec@5 76.953 (72.855)
Epoch: [85][3260/5005] Time 0.207 (0.210) Data 0.042 (0.048) Loss 2.1500 (2.2963) Prec@1 50.781 (47.451) Prec@5 73.047 (72.855)
Epoch: [85][3270/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.4006 (2.2962) Prec@1 46.484 (47.450) Prec@5 70.312 (72.855)
Epoch: [85][3280/5005] Time 0.202 (0.210) Data 0.043 (0.048) Loss 2.2264 (2.2963) Prec@1 52.344 (47.451) Prec@5 73.047 (72.852)
Epoch: [85][3290/5005] Time 0.200 (0.210) Data 0.046 (0.048) Loss 2.2656 (2.2961) Prec@1 50.000 (47.452) Prec@5 70.312 (72.854)
Epoch: [85][3300/5005] Time 0.207 (0.210) Data 0.046 (0.048) Loss 2.2871 (2.2962) Prec@1 46.484 (47.450) Prec@5 74.219 (72.854)
Epoch: [85][3310/5005] Time 0.206 (0.210) Data 0.042 (0.048) Loss 2.1676 (2.2961) Prec@1 48.828 (47.450) Prec@5 73.828 (72.854)
Epoch: [85][3320/5005] Time 0.201 (0.210) Data 0.043 (0.048) Loss 2.1731 (2.2961) Prec@1 50.391 (47.450) Prec@5 74.219 (72.852)
Epoch: [85][3330/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.3480 (2.2962) Prec@1 47.266 (47.451) Prec@5 69.531 (72.852)
Epoch: [85][3340/5005] Time 0.205 (0.210) Data 0.043 (0.048) Loss 2.3472 (2.2962) Prec@1 45.703 (47.448) Prec@5 73.828 (72.853)
Epoch: [85][3350/5005] Time 0.213 (0.210) Data 0.042 (0.048) Loss 2.2676 (2.2962) Prec@1 50.391 (47.450) Prec@5 73.047 (72.853)
Epoch: [85][3360/5005] Time 0.210 (0.210) Data 0.045 (0.048) Loss 2.2368 (2.2962) Prec@1 46.094 (47.451) Prec@5 75.781 (72.853)
Epoch: [85][3370/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.2404 (2.2962) Prec@1 44.922 (47.450) Prec@5 72.656 (72.851)
Epoch: [85][3380/5005] Time 0.208 (0.210) Data 0.041 (0.048) Loss 2.2818 (2.2960) Prec@1 44.141 (47.452) Prec@5 75.000 (72.854)
Epoch: [85][3390/5005] Time 0.201 (0.210) Data 0.042 (0.048) Loss 2.2355 (2.2961) Prec@1 51.172 (47.450) Prec@5 75.391 (72.853)
Epoch: [85][3400/5005] Time 0.200 (0.210) Data 0.048 (0.048) Loss 2.2572 (2.2962) Prec@1 47.656 (47.450) Prec@5 72.656 (72.849)
Epoch: [85][3410/5005] Time 0.197 (0.210) Data 0.046 (0.048) Loss 2.2099 (2.2960) Prec@1 49.609 (47.453) Prec@5 73.828 (72.852)
Epoch: [85][3420/5005] Time 0.208 (0.210) Data 0.056 (0.048) Loss 2.2941 (2.2959) Prec@1 46.484 (47.453) Prec@5 74.219 (72.853)
Epoch: [85][3430/5005] Time 0.204 (0.210) Data 0.054 (0.048) Loss 2.2756 (2.2959) Prec@1 50.391 (47.456) Prec@5 72.656 (72.854)
Epoch: [85][3440/5005] Time 0.203 (0.210) Data 0.049 (0.048) Loss 2.2392 (2.2958) Prec@1 46.875 (47.458) Prec@5 71.094 (72.856)
Epoch: [85][3450/5005] Time 0.193 (0.210) Data 0.041 (0.048) Loss 2.1130 (2.2957) Prec@1 49.609 (47.459) Prec@5 73.438 (72.858)
Epoch: [85][3460/5005] Time 0.214 (0.210) Data 0.045 (0.048) Loss 2.2033 (2.2957) Prec@1 49.609 (47.462) Prec@5 72.656 (72.857)
Epoch: [85][3470/5005] Time 0.219 (0.210) Data 0.043 (0.048) Loss 2.0841 (2.2954) Prec@1 49.609 (47.466) Prec@5 77.344 (72.862)
Epoch: [85][3480/5005] Time 0.208 (0.210) Data 0.052 (0.048) Loss 2.2115 (2.2952) Prec@1 50.000 (47.470) Prec@5 73.828 (72.865)
Epoch: [85][3490/5005] Time 0.208 (0.210) Data 0.052 (0.048) Loss 2.3289 (2.2953) Prec@1 44.922 (47.466) Prec@5 73.047 (72.863)
Epoch: [85][3500/5005] Time 0.204 (0.210) Data 0.044 (0.048) Loss 2.1615 (2.2953) Prec@1 48.438 (47.468) Prec@5 76.562 (72.864)
Epoch: [85][3510/5005] Time 0.206 (0.210) Data 0.041 (0.048) Loss 2.2385 (2.2953) Prec@1 50.391 (47.467) Prec@5 74.219 (72.867)
Epoch: [85][3520/5005] Time 0.212 (0.210) Data 0.042 (0.048) Loss 2.5040 (2.2953) Prec@1 46.484 (47.468) Prec@5 70.703 (72.865)
Epoch: [85][3530/5005] Time 0.209 (0.210) Data 0.042 (0.048) Loss 2.2245 (2.2952) Prec@1 48.047 (47.474) Prec@5 73.828 (72.865)
Epoch: [85][3540/5005] Time 0.203 (0.210) Data 0.043 (0.048) Loss 2.1784 (2.2949) Prec@1 52.734 (47.478) Prec@5 74.609 (72.871)
Epoch: [85][3550/5005] Time 0.206 (0.210) Data 0.044 (0.048) Loss 2.3065 (2.2948) Prec@1 40.234 (47.481) Prec@5 71.094 (72.871)
Epoch: [85][3560/5005] Time 0.209 (0.210) Data 0.044 (0.048) Loss 2.3615 (2.2946) Prec@1 44.141 (47.483) Prec@5 69.922 (72.875)
Epoch: [85][3570/5005] Time 0.209 (0.210) Data 0.044 (0.048) Loss 2.3801 (2.2947) Prec@1 46.875 (47.483) Prec@5 70.312 (72.872)
Epoch: [85][3580/5005] Time 0.209 (0.210) Data 0.044 (0.048) Loss 2.1883 (2.2947) Prec@1 51.562 (47.485) Prec@5 72.656 (72.871)
Epoch: [85][3590/5005] Time 0.210 (0.210) Data 0.047 (0.048) Loss 2.1770 (2.2944) Prec@1 48.828 (47.492) Prec@5 73.047 (72.875)
Epoch: [85][3600/5005] Time 0.219 (0.210) Data 0.042 (0.048) Loss 2.4175 (2.2941) Prec@1 49.219 (47.498) Prec@5 67.969 (72.877)
Epoch: [85][3610/5005] Time 0.203 (0.210) Data 0.043 (0.048) Loss 2.1746 (2.2941) Prec@1 49.609 (47.497) Prec@5 76.953 (72.877)
Epoch: [85][3620/5005] Time 0.206 (0.210) Data 0.041 (0.048) Loss 2.4090 (2.2940) Prec@1 42.188 (47.502) Prec@5 71.094 (72.880)
Epoch: [85][3630/5005] Time 0.197 (0.210) Data 0.044 (0.048) Loss 2.4917 (2.2939) Prec@1 43.750 (47.503) Prec@5 69.922 (72.881)
Epoch: [85][3640/5005] Time 0.211 (0.210) Data 0.041 (0.048) Loss 2.1798 (2.2939) Prec@1 48.828 (47.506) Prec@5 76.562 (72.882)
Epoch: [85][3650/5005] Time 0.208 (0.210) Data 0.044 (0.048) Loss 2.1852 (2.2939) Prec@1 46.875 (47.503) Prec@5 75.391 (72.884)
Epoch: [85][3660/5005] Time 0.207 (0.210) Data 0.046 (0.047) Loss 2.4225 (2.2937) Prec@1 44.141 (47.505) Prec@5 71.875 (72.886)
Epoch: [85][3670/5005] Time 0.205 (0.210) Data 0.044 (0.047) Loss 2.5153 (2.2938) Prec@1 42.969 (47.504) Prec@5 68.750 (72.886)
Epoch: [85][3680/5005] Time 0.201 (0.210) Data 0.043 (0.047) Loss 2.1897 (2.2938) Prec@1 47.266 (47.504) Prec@5 73.438 (72.884)
Epoch: [85][3690/5005] Time 0.193 (0.210) Data 0.062 (0.047) Loss 2.1381 (2.2937) Prec@1 48.438 (47.505) Prec@5 73.828 (72.885)
Epoch: [85][3700/5005] Time 0.202 (0.210) Data 0.050 (0.047) Loss 2.4095 (2.2937) Prec@1 48.047 (47.506) Prec@5 74.609 (72.886)
Epoch: [85][3710/5005] Time 0.204 (0.210) Data 0.042 (0.047) Loss 2.2625 (2.2938) Prec@1 50.391 (47.502) Prec@5 74.219 (72.886)
Epoch: [85][3720/5005] Time 0.195 (0.210) Data 0.043 (0.047) Loss 2.3083 (2.2937) Prec@1 49.609 (47.503) Prec@5 72.656 (72.887)
Epoch: [85][3730/5005] Time 0.210 (0.210) Data 0.045 (0.047) Loss 2.0071 (2.2935) Prec@1 56.641 (47.508) Prec@5 77.734 (72.888)
Epoch: [85][3740/5005] Time 0.206 (0.210) Data 0.044 (0.047) Loss 2.3237 (2.2934) Prec@1 47.266 (47.509) Prec@5 73.828 (72.892)
Epoch: [85][3750/5005] Time 0.209 (0.210) Data 0.043 (0.047) Loss 2.2374 (2.2935) Prec@1 46.094 (47.505) Prec@5 75.391 (72.889)
Epoch: [85][3760/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.3281 (2.2936) Prec@1 45.703 (47.501) Prec@5 70.312 (72.888)
Epoch: [85][3770/5005] Time 0.208 (0.210) Data 0.044 (0.047) Loss 2.3634 (2.2935) Prec@1 46.875 (47.505) Prec@5 69.531 (72.891)
Epoch: [85][3780/5005] Time 0.209 (0.210) Data 0.044 (0.047) Loss 2.2860 (2.2935) Prec@1 47.656 (47.506) Prec@5 73.047 (72.886)
Epoch: [85][3790/5005] Time 0.209 (0.210) Data 0.044 (0.047) Loss 2.3054 (2.2936) Prec@1 46.875 (47.501) Prec@5 73.828 (72.884)
Epoch: [85][3800/5005] Time 0.204 (0.210) Data 0.042 (0.047) Loss 2.1767 (2.2938) Prec@1 45.703 (47.497) Prec@5 74.219 (72.882)
Epoch: [85][3810/5005] Time 0.207 (0.210) Data 0.044 (0.047) Loss 2.1928 (2.2939) Prec@1 48.828 (47.492) Prec@5 74.609 (72.882)
Epoch: [85][3820/5005] Time 0.206 (0.210) Data 0.051 (0.047) Loss 2.1487 (2.2937) Prec@1 50.781 (47.496) Prec@5 76.172 (72.886)
Epoch: [85][3830/5005] Time 0.201 (0.210) Data 0.044 (0.047) Loss 2.3272 (2.2935) Prec@1 45.312 (47.499) Prec@5 73.047 (72.888)
Epoch: [85][3840/5005] Time 0.198 (0.210) Data 0.050 (0.047) Loss 2.4447 (2.2936) Prec@1 42.578 (47.494) Prec@5 71.094 (72.885)
Epoch: [85][3850/5005] Time 0.208 (0.210) Data 0.052 (0.047) Loss 2.4197 (2.2935) Prec@1 46.094 (47.496) Prec@5 71.484 (72.886)
Epoch: [85][3860/5005] Time 0.205 (0.210) Data 0.044 (0.047) Loss 2.1441 (2.2936) Prec@1 51.172 (47.497) Prec@5 75.000 (72.884)
Epoch: [85][3870/5005] Time 0.201 (0.210) Data 0.055 (0.047) Loss 2.2173 (2.2937) Prec@1 45.703 (47.495) Prec@5 75.781 (72.881)
Epoch: [85][3880/5005] Time 0.209 (0.210) Data 0.045 (0.047) Loss 2.2017 (2.2937) Prec@1 47.656 (47.494) Prec@5 75.391 (72.882)
Epoch: [85][3890/5005] Time 0.210 (0.210) Data 0.042 (0.047) Loss 2.4983 (2.2936) Prec@1 45.703 (47.495) Prec@5 70.312 (72.882)
Epoch: [85][3900/5005] Time 0.207 (0.210) Data 0.046 (0.047) Loss 2.5820 (2.2937) Prec@1 40.234 (47.494) Prec@5 69.922 (72.883)
Epoch: [85][3910/5005] Time 0.200 (0.210) Data 0.046 (0.047) Loss 2.1887 (2.2936) Prec@1 50.000 (47.495) Prec@5 74.219 (72.883)
Epoch: [85][3920/5005] Time 0.203 (0.210) Data 0.047 (0.047) Loss 2.2147 (2.2937) Prec@1 50.000 (47.492) Prec@5 73.438 (72.882)
Epoch: [85][3930/5005] Time 0.207 (0.210) Data 0.061 (0.047) Loss 2.1979 (2.2935) Prec@1 50.391 (47.496) Prec@5 71.875 (72.884)
Epoch: [85][3940/5005] Time 0.223 (0.210) Data 0.049 (0.047) Loss 2.3000 (2.2934) Prec@1 46.484 (47.495) Prec@5 70.703 (72.884)
Epoch: [85][3950/5005] Time 0.198 (0.210) Data 0.057 (0.047) Loss 2.1917 (2.2932) Prec@1 50.000 (47.500) Prec@5 74.219 (72.889)
Epoch: [85][3960/5005] Time 0.213 (0.210) Data 0.051 (0.047) Loss 2.2561 (2.2932) Prec@1 44.141 (47.497) Prec@5 71.875 (72.889)
Epoch: [85][3970/5005] Time 0.210 (0.210) Data 0.041 (0.047) Loss 2.2918 (2.2932) Prec@1 48.828 (47.497) Prec@5 74.219 (72.887)
Epoch: [85][3980/5005] Time 0.203 (0.210) Data 0.044 (0.047) Loss 2.1724 (2.2931) Prec@1 48.828 (47.499) Prec@5 76.953 (72.891)
Epoch: [85][3990/5005] Time 0.206 (0.210) Data 0.045 (0.047) Loss 2.3376 (2.2931) Prec@1 46.875 (47.498) Prec@5 71.875 (72.890)
Epoch: [85][4000/5005] Time 0.210 (0.209) Data 0.040 (0.047) Loss 2.2324 (2.2931) Prec@1 48.047 (47.497) Prec@5 75.391 (72.892)
Epoch: [85][4010/5005] Time 0.201 (0.209) Data 0.039 (0.047) Loss 2.4979 (2.2929) Prec@1 47.266 (47.503) Prec@5 67.578 (72.896)
Epoch: [85][4020/5005] Time 0.201 (0.209) Data 0.046 (0.047) Loss 2.3774 (2.2929) Prec@1 47.656 (47.506) Prec@5 72.656 (72.898)
Epoch: [85][4030/5005] Time 0.212 (0.209) Data 0.047 (0.047) Loss 2.4540 (2.2931) Prec@1 41.797 (47.503) Prec@5 70.312 (72.894)
Epoch: [85][4040/5005] Time 0.197 (0.209) Data 0.052 (0.048) Loss 2.3719 (2.2933) Prec@1 46.875 (47.499) Prec@5 69.531 (72.890)
Epoch: [85][4050/5005] Time 0.205 (0.209) Data 0.048 (0.048) Loss 2.4403 (2.2932) Prec@1 44.141 (47.503) Prec@5 67.578 (72.892)
Epoch: [85][4060/5005] Time 0.205 (0.209) Data 0.057 (0.048) Loss 2.3708 (2.2932) Prec@1 43.750 (47.503) Prec@5 68.750 (72.892)
Epoch: [85][4070/5005] Time 0.197 (0.209) Data 0.046 (0.048) Loss 2.5167 (2.2932) Prec@1 45.312 (47.502) Prec@5 69.531 (72.894)
Epoch: [85][4080/5005] Time 0.203 (0.209) Data 0.064 (0.048) Loss 2.1567 (2.2932) Prec@1 48.828 (47.502) Prec@5 73.438 (72.891)
Epoch: [85][4090/5005] Time 0.217 (0.209) Data 0.042 (0.048) Loss 2.3985 (2.2932) Prec@1 45.703 (47.502) Prec@5 69.531 (72.892)
Epoch: [85][4100/5005] Time 0.207 (0.209) Data 0.044 (0.048) Loss 2.3017 (2.2930) Prec@1 44.141 (47.504) Prec@5 72.266 (72.893)
Epoch: [85][4110/5005] Time 0.201 (0.209) Data 0.044 (0.048) Loss 2.4359 (2.2930) Prec@1 42.969 (47.506) Prec@5 71.094 (72.894)
Epoch: [85][4120/5005] Time 0.200 (0.209) Data 0.045 (0.048) Loss 2.4576 (2.2929) Prec@1 43.750 (47.507) Prec@5 68.359 (72.894)
Epoch: [85][4130/5005] Time 0.205 (0.209) Data 0.044 (0.048) Loss 2.4020 (2.2929) Prec@1 43.750 (47.508) Prec@5 70.312 (72.895)
Epoch: [85][4140/5005] Time 0.198 (0.209) Data 0.046 (0.048) Loss 2.4299 (2.2929) Prec@1 46.875 (47.508) Prec@5 70.703 (72.894)
Epoch: [85][4150/5005] Time 0.204 (0.209) Data 0.047 (0.048) Loss 2.5994 (2.2931) Prec@1 44.141 (47.505) Prec@5 67.188 (72.892)
Epoch: [85][4160/5005] Time 0.203 (0.209) Data 0.066 (0.048) Loss 2.2599 (2.2931) Prec@1 50.391 (47.502) Prec@5 74.609 (72.891)
Epoch: [85][4170/5005] Time 0.203 (0.209) Data 0.062 (0.048) Loss 2.1773 (2.2929) Prec@1 46.484 (47.505) Prec@5 76.172 (72.895)
Epoch: [85][4180/5005] Time 0.219 (0.209) Data 0.042 (0.048) Loss 2.1300 (2.2928) Prec@1 52.734 (47.509) Prec@5 76.172 (72.896)
Epoch: [85][4190/5005] Time 0.205 (0.209) Data 0.046 (0.048) Loss 2.1702 (2.2928) Prec@1 49.219 (47.510) Prec@5 75.391 (72.895)
Epoch: [85][4200/5005] Time 0.195 (0.209) Data 0.049 (0.048) Loss 2.1635 (2.2928) Prec@1 51.953 (47.510) Prec@5 74.609 (72.897)
Epoch: [85][4210/5005] Time 0.209 (0.209) Data 0.042 (0.048) Loss 2.0565 (2.2928) Prec@1 48.438 (47.509) Prec@5 75.391 (72.896)
Epoch: [85][4220/5005] Time 0.209 (0.209) Data 0.050 (0.048) Loss 2.3817 (2.2928) Prec@1 45.312 (47.506) Prec@5 73.047 (72.897)
Epoch: [85][4230/5005] Time 0.210 (0.209) Data 0.045 (0.048) Loss 2.4381 (2.2929) Prec@1 42.188 (47.504) Prec@5 71.484 (72.896)
Epoch: [85][4240/5005] Time 0.206 (0.209) Data 0.042 (0.048) Loss 2.0514 (2.2929) Prec@1 49.609 (47.503) Prec@5 75.000 (72.895)
Epoch: [85][4250/5005] Time 0.202 (0.209) Data 0.043 (0.048) Loss 2.2084 (2.2927) Prec@1 46.484 (47.507) Prec@5 75.781 (72.899)
Epoch: [85][4260/5005] Time 0.213 (0.209) Data 0.042 (0.048) Loss 2.2574 (2.2927) Prec@1 46.094 (47.507) Prec@5 73.438 (72.900)
Epoch: [85][4270/5005] Time 0.210 (0.209) Data 0.041 (0.048) Loss 2.4462 (2.2928) Prec@1 46.484 (47.507) Prec@5 70.312 (72.897)
Epoch: [85][4280/5005] Time 0.206 (0.209) Data 0.047 (0.048) Loss 2.3692 (2.2927) Prec@1 46.875 (47.510) Prec@5 71.094 (72.900)
Epoch: [85][4290/5005] Time 0.210 (0.209) Data 0.041 (0.048) Loss 2.4316 (2.2928) Prec@1 46.094 (47.508) Prec@5 70.703 (72.897)
Epoch: [85][4300/5005] Time 0.209 (0.209) Data 0.041 (0.048) Loss 1.9386 (2.2925) Prec@1 53.125 (47.511) Prec@5 80.078 (72.903)
Epoch: [85][4310/5005] Time 0.218 (0.209) Data 0.042 (0.048) Loss 2.2803 (2.2924) Prec@1 48.438 (47.512) Prec@5 71.875 (72.904)
Epoch: [85][4320/5005] Time 0.209 (0.209) Data 0.041 (0.048) Loss 2.2139 (2.2924) Prec@1 51.172 (47.515) Prec@5 73.047 (72.903)
Epoch: [85][4330/5005] Time 0.204 (0.209) Data 0.061 (0.048) Loss 2.1109 (2.2923) Prec@1 49.609 (47.515) Prec@5 75.781 (72.905)
Epoch: [85][4340/5005] Time 0.210 (0.209) Data 0.040 (0.048) Loss 2.2950 (2.2924) Prec@1 48.047 (47.513) Prec@5 71.875 (72.904)
Epoch: [85][4350/5005] Time 0.202 (0.209) Data 0.041 (0.048) Loss 2.3204 (2.2924) Prec@1 47.266 (47.514) Prec@5 73.828 (72.907)
Epoch: [85][4360/5005] Time 0.203 (0.209) Data 0.043 (0.048) Loss 2.0927 (2.2923) Prec@1 47.266 (47.517) Prec@5 76.953 (72.909)
Epoch: [85][4370/5005] Time 0.205 (0.209) Data 0.043 (0.048) Loss 2.2452 (2.2923) Prec@1 50.000 (47.520) Prec@5 73.047 (72.907)
Epoch: [85][4380/5005] Time 0.208 (0.209) Data 0.043 (0.048) Loss 2.3391 (2.2923) Prec@1 46.484 (47.521) Prec@5 70.312 (72.909)
Epoch: [85][4390/5005] Time 0.214 (0.209) Data 0.044 (0.048) Loss 2.3652 (2.2921) Prec@1 47.266 (47.523) Prec@5 69.531 (72.911)
Epoch: [85][4400/5005] Time 0.208 (0.209) Data 0.048 (0.048) Loss 2.1291 (2.2921) Prec@1 50.781 (47.525) Prec@5 75.391 (72.912)
Epoch: [85][4410/5005] Time 0.209 (0.209) Data 0.050 (0.048) Loss 2.2870 (2.2920) Prec@1 46.484 (47.524) Prec@5 72.266 (72.910)
Epoch: [85][4420/5005] Time 0.201 (0.209) Data 0.061 (0.048) Loss 1.9735 (2.2920) Prec@1 52.344 (47.526) Prec@5 78.906 (72.911)
Epoch: [85][4430/5005] Time 0.210 (0.209) Data 0.041 (0.048) Loss 2.4203 (2.2918) Prec@1 43.750 (47.529) Prec@5 66.406 (72.911)
Epoch: [85][4440/5005] Time 0.211 (0.209) Data 0.044 (0.048) Loss 2.4285 (2.2919) Prec@1 44.141 (47.530) Prec@5 67.969 (72.911)
Epoch: [85][4450/5005] Time 0.210 (0.209) Data 0.042 (0.048) Loss 2.1105 (2.2918) Prec@1 48.828 (47.530) Prec@5 75.000 (72.912)
Epoch: [85][4460/5005] Time 0.201 (0.209) Data 0.049 (0.048) Loss 2.4125 (2.2916) Prec@1 43.359 (47.533) Prec@5 68.359 (72.913)
Epoch: [85][4470/5005] Time 0.201 (0.209) Data 0.064 (0.048) Loss 2.1920 (2.2917) Prec@1 47.656 (47.532) Prec@5 73.828 (72.912)
Epoch: [85][4480/5005] Time 0.212 (0.209) Data 0.043 (0.048) Loss 2.1791 (2.2919) Prec@1 44.531 (47.526) Prec@5 76.172 (72.910)
Epoch: [85][4490/5005] Time 0.215 (0.209) Data 0.046 (0.048) Loss 2.3680 (2.2920) Prec@1 42.188 (47.526) Prec@5 71.484 (72.907)
Epoch: [85][4500/5005] Time 0.206 (0.209) Data 0.040 (0.048) Loss 2.2829 (2.2920) Prec@1 44.531 (47.526) Prec@5 74.219 (72.907)
Epoch: [85][4510/5005] Time 0.210 (0.209) Data 0.043 (0.048) Loss 2.1556 (2.2920) Prec@1 50.391 (47.525) Prec@5 75.391 (72.907)
Epoch: [85][4520/5005] Time 0.209 (0.209) Data 0.045 (0.048) Loss 2.1852 (2.2917) Prec@1 49.219 (47.530) Prec@5 73.438 (72.911)
Epoch: [85][4530/5005] Time 0.209 (0.209) Data 0.045 (0.048) Loss 2.1370 (2.2917) Prec@1 48.828 (47.533) Prec@5 76.953 (72.913)
Epoch: [85][4540/5005] Time 0.208 (0.209) Data 0.043 (0.048) Loss 2.4047 (2.2918) Prec@1 48.047 (47.532) Prec@5 71.875 (72.912)
Epoch: [85][4550/5005] Time 0.212 (0.209) Data 0.042 (0.048) Loss 2.3830 (2.2918) Prec@1 49.219 (47.532) Prec@5 68.750 (72.913)
Epoch: [85][4560/5005] Time 0.200 (0.209) Data 0.046 (0.048) Loss 2.2206 (2.2917) Prec@1 47.656 (47.534) Prec@5 72.656 (72.916)
Epoch: [85][4570/5005] Time 0.206 (0.209) Data 0.063 (0.048) Loss 2.3241 (2.2915) Prec@1 48.828 (47.536) Prec@5 69.141 (72.919)
Epoch: [85][4580/5005] Time 0.203 (0.209) Data 0.044 (0.048) Loss 2.3714 (2.2915) Prec@1 46.094 (47.533) Prec@5 70.703 (72.919)
Epoch: [85][4590/5005] Time 0.208 (0.209) Data 0.047 (0.048) Loss 2.1785 (2.2916) Prec@1 49.609 (47.532) Prec@5 72.656 (72.918)
Epoch: [85][4600/5005] Time 0.211 (0.209) Data 0.041 (0.048) Loss 2.1386 (2.2917) Prec@1 52.344 (47.531) Prec@5 76.562 (72.919)
Epoch: [85][4610/5005] Time 0.193 (0.209) Data 0.043 (0.048) Loss 2.0817 (2.2917) Prec@1 52.344 (47.533) Prec@5 76.172 (72.919)
Epoch: [85][4620/5005] Time 0.205 (0.209) Data 0.043 (0.047) Loss 2.2025 (2.2916) Prec@1 49.219 (47.535) Prec@5 72.656 (72.920)
Epoch: [85][4630/5005] Time 0.209 (0.209) Data 0.044 (0.047) Loss 2.0230 (2.2915) Prec@1 53.125 (47.536) Prec@5 79.297 (72.923)
Epoch: [85][4640/5005] Time 0.214 (0.209) Data 0.045 (0.047) Loss 2.3392 (2.2914) Prec@1 48.047 (47.536) Prec@5 69.531 (72.923)
Epoch: [85][4650/5005] Time 0.223 (0.209) Data 0.042 (0.047) Loss 2.3127 (2.2914) Prec@1 46.484 (47.536) Prec@5 73.047 (72.924)
Epoch: [85][4660/5005] Time 0.209 (0.209) Data 0.048 (0.047) Loss 2.6689 (2.2914) Prec@1 40.234 (47.536) Prec@5 66.016 (72.923)
Epoch: [85][4670/5005] Time 0.207 (0.209) Data 0.045 (0.047) Loss 2.1684 (2.2914) Prec@1 47.656 (47.535) Prec@5 75.000 (72.924)
Epoch: [85][4680/5005] Time 0.209 (0.209) Data 0.052 (0.047) Loss 2.2105 (2.2914) Prec@1 46.484 (47.535) Prec@5 74.219 (72.923)
Epoch: [85][4690/5005] Time 0.215 (0.209) Data 0.042 (0.047) Loss 2.2639 (2.2914) Prec@1 45.703 (47.533) Prec@5 73.047 (72.924)
Epoch: [85][4700/5005] Time 0.210 (0.209) Data 0.066 (0.047) Loss 2.0878 (2.2913) Prec@1 49.609 (47.535) Prec@5 76.172 (72.924)
Epoch: [85][4710/5005] Time 0.216 (0.209) Data 0.041 (0.048) Loss 2.1836 (2.2911) Prec@1 51.172 (47.537) Prec@5 75.000 (72.927)
Epoch: [85][4720/5005] Time 0.213 (0.209) Data 0.040 (0.047) Loss 2.1634 (2.2910) Prec@1 51.172 (47.537) Prec@5 75.391 (72.929)
Epoch: [85][4730/5005] Time 0.207 (0.209) Data 0.040 (0.047) Loss 2.2381 (2.2912) Prec@1 47.656 (47.536) Prec@5 74.219 (72.927)
Epoch: [85][4740/5005] Time 0.212 (0.209) Data 0.042 (0.047) Loss 2.2032 (2.2911) Prec@1 53.516 (47.538) Prec@5 74.609 (72.926)
Epoch: [85][4750/5005] Time 0.204 (0.209) Data 0.046 (0.047) Loss 2.2849 (2.2911) Prec@1 46.484 (47.538) Prec@5 73.047 (72.927)
Epoch: [85][4760/5005] Time 0.209 (0.209) Data 0.046 (0.047) Loss 2.5129 (2.2911) Prec@1 42.969 (47.538) Prec@5 70.312 (72.926)
Epoch: [85][4770/5005] Time 0.215 (0.209) Data 0.042 (0.047) Loss 2.1161 (2.2910) Prec@1 51.172 (47.539) Prec@5 74.219 (72.926)
Epoch: [85][4780/5005] Time 0.211 (0.209) Data 0.045 (0.047) Loss 2.2982 (2.2911) Prec@1 48.438 (47.540) Prec@5 74.219 (72.925)
Epoch: [85][4790/5005] Time 0.199 (0.209) Data 0.047 (0.047) Loss 2.4488 (2.2911) Prec@1 44.531 (47.539) Prec@5 70.312 (72.926)
Epoch: [85][4800/5005] Time 0.197 (0.209) Data 0.064 (0.047) Loss 2.4365 (2.2910) Prec@1 43.750 (47.541) Prec@5 70.312 (72.930)
Epoch: [85][4810/5005] Time 0.200 (0.209) Data 0.049 (0.047) Loss 2.4259 (2.2909) Prec@1 44.141 (47.544) Prec@5 70.312 (72.932)
Epoch: [85][4820/5005] Time 0.213 (0.209) Data 0.043 (0.047) Loss 2.5216 (2.2908) Prec@1 40.234 (47.544) Prec@5 69.141 (72.931)
Epoch: [85][4830/5005] Time 0.216 (0.209) Data 0.041 (0.047) Loss 2.2811 (2.2907) Prec@1 48.828 (47.549) Prec@5 69.531 (72.932)
Epoch: [85][4840/5005] Time 0.209 (0.209) Data 0.048 (0.047) Loss 2.1049 (2.2907) Prec@1 51.953 (47.547) Prec@5 73.047 (72.931)
Epoch: [85][4850/5005] Time 0.216 (0.209) Data 0.053 (0.047) Loss 2.2757 (2.2909) Prec@1 47.266 (47.546) Prec@5 75.391 (72.928)
Epoch: [85][4860/5005] Time 0.201 (0.209) Data 0.058 (0.047) Loss 2.3822 (2.2908) Prec@1 41.406 (47.547) Prec@5 74.609 (72.930)
Epoch: [85][4870/5005] Time 0.194 (0.209) Data 0.054 (0.047) Loss 2.2903 (2.2909) Prec@1 50.391 (47.546) Prec@5 73.047 (72.928)
Epoch: [85][4880/5005] Time 0.216 (0.209) Data 0.042 (0.047) Loss 2.0682 (2.2908) Prec@1 53.516 (47.549) Prec@5 76.562 (72.930)
Epoch: [85][4890/5005] Time 0.208 (0.209) Data 0.045 (0.047) Loss 2.3527 (2.2907) Prec@1 44.922 (47.550) Prec@5 71.875 (72.931)
Epoch: [85][4900/5005] Time 0.205 (0.209) Data 0.052 (0.047) Loss 2.1508 (2.2906) Prec@1 48.438 (47.551) Prec@5 77.734 (72.933)
Epoch: [85][4910/5005] Time 0.216 (0.209) Data 0.042 (0.047) Loss 2.2767 (2.2904) Prec@1 46.094 (47.553) Prec@5 73.438 (72.936)
Epoch: [85][4920/5005] Time 0.276 (0.209) Data 0.050 (0.048) Loss 2.2158 (2.2904) Prec@1 46.875 (47.554) Prec@5 73.047 (72.937)
Epoch: [85][4930/5005] Time 0.198 (0.209) Data 0.061 (0.048) Loss 2.4347 (2.2903) Prec@1 45.703 (47.554) Prec@5 68.750 (72.938)
Epoch: [85][4940/5005] Time 0.207 (0.209) Data 0.044 (0.048) Loss 2.2717 (2.2904) Prec@1 48.438 (47.555) Prec@5 70.703 (72.936)
Epoch: [85][4950/5005] Time 0.208 (0.209) Data 0.042 (0.048) Loss 2.0888 (2.2905) Prec@1 49.219 (47.553) Prec@5 76.562 (72.934)
Epoch: [85][4960/5005] Time 0.204 (0.209) Data 0.046 (0.048) Loss 2.3529 (2.2904) Prec@1 48.438 (47.552) Prec@5 72.656 (72.936)
Epoch: [85][4970/5005] Time 0.206 (0.209) Data 0.048 (0.048) Loss 2.4047 (2.2904) Prec@1 45.312 (47.555) Prec@5 72.266 (72.936)
Epoch: [85][4980/5005] Time 0.209 (0.209) Data 0.049 (0.048) Loss 2.2106 (2.2903) Prec@1 49.609 (47.557) Prec@5 78.125 (72.941)
Epoch: [85][4990/5005] Time 0.208 (0.209) Data 0.030 (0.047) Loss 2.5240 (2.2902) Prec@1 42.969 (47.559) Prec@5 68.359 (72.941)
Epoch: [85][5000/5005] Time 0.206 (0.209) Data 0.021 (0.047) Loss 2.4143 (2.2903) Prec@1 47.656 (47.559) Prec@5 73.047 (72.941)
Test: [0/196] Time 1.366 (1.366) Loss 2.4164 (2.4164) Prec@1 50.000 (50.000) Prec@5 70.312 (70.312)
Test: [10/196] Time 0.044 (0.255) Loss 2.4030 (2.5301) Prec@1 46.484 (44.034) Prec@5 71.094 (69.780)
Test: [20/196] Time 0.044 (0.211) Loss 2.4249 (2.5278) Prec@1 45.703 (43.899) Prec@5 71.484 (69.754)
Test: [30/196] Time 0.108 (0.212) Loss 2.4666 (2.5333) Prec@1 40.625 (43.624) Prec@5 70.312 (69.607)
Test: [40/196] Time 0.044 (0.208) Loss 2.2845 (2.5302) Prec@1 52.734 (44.045) Prec@5 73.438 (69.750)
Test: [50/196] Time 0.044 (0.201) Loss 2.5711 (2.5314) Prec@1 50.391 (44.256) Prec@5 71.484 (69.761)
Test: [60/196] Time 0.051 (0.193) Loss 2.4847 (2.5172) Prec@1 45.703 (44.474) Prec@5 69.531 (69.967)
Test: [70/196] Time 0.046 (0.189) Loss 2.4687 (2.5115) Prec@1 46.484 (44.432) Prec@5 67.969 (69.872)
Test: [80/196] Time 0.158 (0.191) Loss 2.3411 (2.5179) Prec@1 50.391 (44.416) Prec@5 75.391 (69.763)
Test: [90/196] Time 0.042 (0.187) Loss 2.6264 (2.5214) Prec@1 45.312 (44.458) Prec@5 67.578 (69.712)
Test: [100/196] Time 0.044 (0.184) Loss 2.5986 (2.5184) Prec@1 45.312 (44.628) Prec@5 68.750 (69.721)
Test: [110/196] Time 0.044 (0.183) Loss 2.7223 (2.5217) Prec@1 41.406 (44.637) Prec@5 65.234 (69.658)
Test: [120/196] Time 0.094 (0.182) Loss 2.3979 (2.5180) Prec@1 44.922 (44.709) Prec@5 72.656 (69.738)
Test: [130/196] Time 0.044 (0.183) Loss 2.2042 (2.5144) Prec@1 49.609 (44.829) Prec@5 74.219 (69.764)
Test: [140/196] Time 0.044 (0.181) Loss 2.3183 (2.5155) Prec@1 50.000 (44.783) Prec@5 71.484 (69.733)
Test: [150/196] Time 0.265 (0.181) Loss 2.1732 (2.5153) Prec@1 51.562 (44.793) Prec@5 76.953 (69.746)
Test: [160/196] Time 0.294 (0.183) Loss 2.3861 (2.5134) Prec@1 50.781 (44.815) Prec@5 71.094 (69.779)
Test: [170/196] Time 0.353 (0.182) Loss 2.4416 (2.5157) Prec@1 44.531 (44.812) Prec@5 72.656 (69.789)
Test: [180/196] Time 0.041 (0.180) Loss 2.7069 (2.5194) Prec@1 42.578 (44.743) Prec@5 67.188 (69.717)
Test: [190/196] Time 0.050 (0.181) Loss 2.7069 (2.5220) Prec@1 44.531 (44.703) Prec@5 62.891 (69.599)
* Prec@1 44.708 Prec@5 69.606
Learning rate: 1e-06
Epoch: [86][0/5005] Time 1.302 (1.302) Data 1.194 (1.194) Loss 2.3129 (2.3129) Prec@1 49.219 (49.219) Prec@5 72.266 (72.266)
Epoch: [86][10/5005] Time 0.201 (0.303) Data 0.042 (0.158) Loss 2.2539 (2.3094) Prec@1 53.516 (47.195) Prec@5 72.656 (72.656)
Epoch: [86][20/5005] Time 0.202 (0.255) Data 0.047 (0.105) Loss 2.3332 (2.3188) Prec@1 50.000 (46.782) Prec@5 75.000 (72.452)
Epoch: [86][30/5005] Time 0.196 (0.238) Data 0.057 (0.087) Loss 2.1431 (2.2735) Prec@1 46.094 (47.190) Prec@5 73.438 (72.820)
Epoch: [86][40/5005] Time 0.199 (0.229) Data 0.045 (0.077) Loss 2.2363 (2.2927) Prec@1 44.922 (46.980) Prec@5 73.828 (72.475)
Epoch: [86][50/5005] Time 0.204 (0.224) Data 0.053 (0.072) Loss 2.1183 (2.2839) Prec@1 50.391 (47.051) Prec@5 78.125 (72.763)
Epoch: [86][60/5005] Time 0.206 (0.220) Data 0.044 (0.068) Loss 2.2702 (2.2873) Prec@1 48.438 (46.990) Prec@5 72.266 (72.707)
Epoch: [86][70/5005] Time 0.195 (0.218) Data 0.047 (0.065) Loss 2.3580 (2.2987) Prec@1 49.609 (46.897) Prec@5 70.703 (72.585)
Epoch: [86][80/5005] Time 0.204 (0.216) Data 0.045 (0.063) Loss 2.0927 (2.2907) Prec@1 51.172 (46.981) Prec@5 74.609 (72.772)
Epoch: [86][90/5005] Time 0.199 (0.214) Data 0.043 (0.063) Loss 2.3862 (2.2915) Prec@1 44.141 (47.042) Prec@5 72.266 (72.798)
Epoch: [86][100/5005] Time 0.197 (0.213) Data 0.045 (0.061) Loss 2.1018 (2.2907) Prec@1 49.609 (47.119) Prec@5 78.516 (72.799)
Epoch: [86][110/5005] Time 0.206 (0.212) Data 0.042 (0.060) Loss 2.3992 (2.2946) Prec@1 48.047 (47.195) Prec@5 70.703 (72.769)
Epoch: [86][120/5005] Time 0.204 (0.211) Data 0.041 (0.059) Loss 2.4103 (2.2971) Prec@1 46.875 (47.298) Prec@5 69.141 (72.672)
Epoch: [86][130/5005] Time 0.209 (0.210) Data 0.048 (0.058) Loss 2.3922 (2.2969) Prec@1 46.484 (47.409) Prec@5 69.922 (72.680)
Epoch: [86][140/5005] Time 0.204 (0.209) Data 0.048 (0.058) Loss 2.3291 (2.2962) Prec@1 44.922 (47.382) Prec@5 73.438 (72.684)
Epoch: [86][150/5005] Time 0.202 (0.209) Data 0.058 (0.057) Loss 2.3776 (2.2967) Prec@1 47.266 (47.387) Prec@5 67.969 (72.705)
Epoch: [86][160/5005] Time 0.201 (0.209) Data 0.045 (0.056) Loss 2.2536 (2.2983) Prec@1 46.875 (47.283) Prec@5 73.828 (72.744)
Epoch: [86][170/5005] Time 0.222 (0.209) Data 0.043 (0.056) Loss 2.3659 (2.2979) Prec@1 47.656 (47.302) Prec@5 71.484 (72.750)
Epoch: [86][180/5005] Time 0.224 (0.210) Data 0.045 (0.055) Loss 2.4960 (2.3001) Prec@1 43.750 (47.261) Prec@5 68.750 (72.699)
Epoch: [86][190/5005] Time 0.217 (0.210) Data 0.043 (0.055) Loss 2.4955 (2.3038) Prec@1 47.266 (47.192) Prec@5 69.531 (72.634)
Epoch: [86][200/5005] Time 0.216 (0.211) Data 0.041 (0.054) Loss 2.5024 (2.3072) Prec@1 41.016 (47.137) Prec@5 68.750 (72.544)
Epoch: [86][210/5005] Time 0.217 (0.211) Data 0.058 (0.054) Loss 2.1814 (2.3071) Prec@1 50.000 (47.116) Prec@5 74.219 (72.545)
Epoch: [86][220/5005] Time 0.219 (0.211) Data 0.047 (0.054) Loss 2.3223 (2.3067) Prec@1 47.656 (47.107) Prec@5 73.828 (72.536)
Epoch: [86][230/5005] Time 0.225 (0.212) Data 0.042 (0.053) Loss 2.3514 (2.3067) Prec@1 47.266 (47.140) Prec@5 71.484 (72.573)
Epoch: [86][240/5005] Time 0.209 (0.212) Data 0.047 (0.053) Loss 2.2869 (2.3073) Prec@1 45.703 (47.089) Prec@5 72.656 (72.551)
Epoch: [86][250/5005] Time 0.211 (0.212) Data 0.041 (0.053) Loss 2.3666 (2.3056) Prec@1 45.703 (47.124) Prec@5 71.484 (72.585)
Epoch: [86][260/5005] Time 0.220 (0.212) Data 0.044 (0.052) Loss 2.1686 (2.3058) Prec@1 49.609 (47.132) Prec@5 74.219 (72.568)
Epoch: [86][270/5005] Time 0.211 (0.212) Data 0.044 (0.052) Loss 2.4375 (2.3072) Prec@1 42.969 (47.127) Prec@5 72.656 (72.538)
Epoch: [86][280/5005] Time 0.216 (0.212) Data 0.043 (0.052) Loss 2.7331 (2.3095) Prec@1 41.406 (47.127) Prec@5 67.969 (72.499)
Epoch: [86][290/5005] Time 0.219 (0.212) Data 0.043 (0.052) Loss 2.1105 (2.3107) Prec@1 50.000 (47.079) Prec@5 76.562 (72.472)
Epoch: [86][300/5005] Time 0.198 (0.212) Data 0.045 (0.051) Loss 2.0832 (2.3097) Prec@1 51.172 (47.132) Prec@5 74.219 (72.490)
Epoch: [86][310/5005] Time 0.214 (0.212) Data 0.043 (0.051) Loss 2.1495 (2.3065) Prec@1 51.172 (47.183) Prec@5 74.219 (72.560)
Epoch: [86][320/5005] Time 0.213 (0.212) Data 0.041 (0.051) Loss 2.5003 (2.3078) Prec@1 43.359 (47.174) Prec@5 69.922 (72.547)
Epoch: [86][330/5005] Time 0.220 (0.213) Data 0.043 (0.051) Loss 2.0790 (2.3056) Prec@1 51.562 (47.224) Prec@5 76.172 (72.585)
Epoch: [86][340/5005] Time 0.203 (0.213) Data 0.043 (0.051) Loss 2.3918 (2.3090) Prec@1 45.312 (47.197) Prec@5 71.094 (72.535)
Epoch: [86][350/5005] Time 0.216 (0.213) Data 0.044 (0.050) Loss 2.4671 (2.3086) Prec@1 45.312 (47.220) Prec@5 67.969 (72.519)
Epoch: [86][360/5005] Time 0.217 (0.213) Data 0.044 (0.050) Loss 2.3459 (2.3087) Prec@1 47.266 (47.218) Prec@5 70.703 (72.519)
Epoch: [86][370/5005] Time 0.214 (0.213) Data 0.049 (0.050) Loss 2.4055 (2.3074) Prec@1 42.969 (47.209) Prec@5 71.875 (72.559)
Epoch: [86][380/5005] Time 0.210 (0.213) Data 0.044 (0.050) Loss 2.6018 (2.3091) Prec@1 43.359 (47.183) Prec@5 69.531 (72.543)
Epoch: [86][390/5005] Time 0.209 (0.213) Data 0.043 (0.050) Loss 2.2230 (2.3099) Prec@1 55.469 (47.205) Prec@5 74.219 (72.546)
Epoch: [86][400/5005] Time 0.215 (0.213) Data 0.041 (0.050) Loss 2.3115 (2.3094) Prec@1 46.094 (47.199) Prec@5 68.750 (72.555)
Epoch: [86][410/5005] Time 0.208 (0.213) Data 0.052 (0.050) Loss 2.1064 (2.3092) Prec@1 49.219 (47.201) Prec@5 75.781 (72.558)
Epoch: [86][420/5005] Time 0.217 (0.213) Data 0.051 (0.050) Loss 2.2224 (2.3087) Prec@1 51.172 (47.212) Prec@5 75.000 (72.572)
Epoch: [86][430/5005] Time 0.218 (0.213) Data 0.048 (0.050) Loss 2.0637 (2.3082) Prec@1 50.781 (47.187) Prec@5 77.344 (72.577)
Epoch: [86][440/5005] Time 0.208 (0.213) Data 0.046 (0.050) Loss 2.2966 (2.3082) Prec@1 48.438 (47.176) Prec@5 71.875 (72.566)
Epoch: [86][450/5005] Time 0.209 (0.213) Data 0.057 (0.050) Loss 2.0942 (2.3089) Prec@1 46.484 (47.148) Prec@5 74.219 (72.554)
Epoch: [86][460/5005] Time 0.211 (0.213) Data 0.045 (0.050) Loss 2.2630 (2.3092) Prec@1 42.969 (47.134) Prec@5 72.656 (72.569)
Epoch: [86][470/5005] Time 0.212 (0.213) Data 0.048 (0.050) Loss 2.4030 (2.3099) Prec@1 42.578 (47.127) Prec@5 69.531 (72.553)
Epoch: [86][480/5005] Time 0.207 (0.213) Data 0.052 (0.050) Loss 2.2982 (2.3101) Prec@1 48.828 (47.151) Prec@5 71.484 (72.560)
Epoch: [86][490/5005] Time 0.218 (0.213) Data 0.042 (0.050) Loss 2.2936 (2.3104) Prec@1 48.047 (47.140) Prec@5 73.438 (72.539)
Epoch: [86][500/5005] Time 0.221 (0.213) Data 0.046 (0.050) Loss 2.6327 (2.3129) Prec@1 42.188 (47.121) Prec@5 66.797 (72.493)
Epoch: [86][510/5005] Time 0.219 (0.213) Data 0.047 (0.050) Loss 2.6091 (2.3136) Prec@1 41.406 (47.114) Prec@5 63.672 (72.478)
Epoch: [86][520/5005] Time 0.199 (0.213) Data 0.051 (0.050) Loss 2.3202 (2.3130) Prec@1 48.438 (47.116) Prec@5 73.047 (72.502)
Epoch: [86][530/5005] Time 0.210 (0.213) Data 0.044 (0.050) Loss 2.2043 (2.3134) Prec@1 51.172 (47.114) Prec@5 73.438 (72.504)
Epoch: [86][540/5005] Time 0.210 (0.213) Data 0.046 (0.050) Loss 2.5456 (2.3144) Prec@1 40.625 (47.087) Prec@5 69.141 (72.469)
Epoch: [86][550/5005] Time 0.215 (0.213) Data 0.044 (0.050) Loss 2.2667 (2.3140) Prec@1 49.219 (47.098) Prec@5 75.781 (72.488)
Epoch: [86][560/5005] Time 0.207 (0.213) Data 0.054 (0.050) Loss 2.3421 (2.3141) Prec@1 43.750 (47.094) Prec@5 72.266 (72.495)
Epoch: [86][570/5005] Time 0.213 (0.213) Data 0.042 (0.050) Loss 2.4566 (2.3149) Prec@1 48.438 (47.084) Prec@5 68.750 (72.471)
Epoch: [86][580/5005] Time 0.220 (0.213) Data 0.044 (0.049) Loss 2.3487 (2.3145) Prec@1 44.922 (47.087) Prec@5 74.609 (72.494)
Epoch: [86][590/5005] Time 0.213 (0.213) Data 0.058 (0.050) Loss 2.5214 (2.3145) Prec@1 43.359 (47.090) Prec@5 67.969 (72.491)
Epoch: [86][600/5005] Time 0.223 (0.213) Data 0.046 (0.050) Loss 2.3673 (2.3151) Prec@1 45.703 (47.089) Prec@5 72.656 (72.490)
Epoch: [86][610/5005] Time 0.218 (0.213) Data 0.043 (0.050) Loss 2.2641 (2.3149) Prec@1 47.656 (47.094) Prec@5 75.781 (72.501)
Epoch: [86][620/5005] Time 0.212 (0.213) Data 0.048 (0.049) Loss 2.4036 (2.3145) Prec@1 48.828 (47.125) Prec@5 71.875 (72.509)
Epoch: [86][630/5005] Time 0.215 (0.213) Data 0.040 (0.049) Loss 2.4672 (2.3150) Prec@1 44.531 (47.122) Prec@5 70.312 (72.495)
Epoch: [86][640/5005] Time 0.209 (0.213) Data 0.046 (0.049) Loss 2.3339 (2.3155) Prec@1 47.656 (47.124) Prec@5 72.656 (72.493)
Epoch: [86][650/5005] Time 0.217 (0.213) Data 0.044 (0.049) Loss 2.5243 (2.3163) Prec@1 39.062 (47.113) Prec@5 69.531 (72.494)
Epoch: [86][660/5005] Time 0.212 (0.213) Data 0.040 (0.049) Loss 2.3907 (2.3156) Prec@1 41.797 (47.126) Prec@5 71.875 (72.515)
Epoch: [86][670/5005] Time 0.216 (0.213) Data 0.042 (0.049) Loss 2.6634 (2.3156) Prec@1 41.797 (47.117) Prec@5 67.578 (72.505)
Epoch: [86][680/5005] Time 0.215 (0.213) Data 0.044 (0.049) Loss 2.2748 (2.3157) Prec@1 50.781 (47.118) Prec@5 73.438 (72.500)
Epoch: [86][690/5005] Time 0.207 (0.213) Data 0.047 (0.049) Loss 2.2237 (2.3149) Prec@1 48.438 (47.137) Prec@5 74.609 (72.512)
Epoch: [86][700/5005] Time 0.205 (0.213) Data 0.043 (0.049) Loss 2.3205 (2.3151) Prec@1 46.875 (47.112) Prec@5 71.484 (72.515)
Epoch: [86][710/5005] Time 0.224 (0.213) Data 0.046 (0.049) Loss 2.2380 (2.3143) Prec@1 46.875 (47.127) Prec@5 75.000 (72.527)
Epoch: [86][720/5005] Time 0.211 (0.213) Data 0.050 (0.049) Loss 2.2152 (2.3134) Prec@1 48.047 (47.143) Prec@5 73.828 (72.543)
Epoch: [86][730/5005] Time 0.212 (0.213) Data 0.054 (0.049) Loss 2.4622 (2.3134) Prec@1 48.828 (47.160) Prec@5 70.312 (72.540)
Epoch: [86][740/5005] Time 0.205 (0.212) Data 0.042 (0.049) Loss 2.4659 (2.3132) Prec@1 43.750 (47.157) Prec@5 71.094 (72.544)
Epoch: [86][750/5005] Time 0.212 (0.212) Data 0.046 (0.049) Loss 2.1589 (2.3129) Prec@1 50.391 (47.158) Prec@5 73.438 (72.548)
Epoch: [86][760/5005] Time 0.215 (0.213) Data 0.043 (0.049) Loss 2.2674 (2.3130) Prec@1 45.703 (47.148) Prec@5 76.953 (72.554)
Epoch: [86][770/5005] Time 0.209 (0.212) Data 0.042 (0.049) Loss 2.3416 (2.3116) Prec@1 48.438 (47.169) Prec@5 72.656 (72.570)
Epoch: [86][780/5005] Time 0.213 (0.212) Data 0.045 (0.049) Loss 2.3293 (2.3111) Prec@1 41.797 (47.162) Prec@5 72.656 (72.575)
Epoch: [86][790/5005] Time 0.212 (0.212) Data 0.044 (0.049) Loss 2.3462 (2.3110) Prec@1 49.219 (47.172) Prec@5 70.312 (72.574)
Epoch: [86][800/5005] Time 0.214 (0.212) Data 0.044 (0.049) Loss 2.1973 (2.3103) Prec@1 43.359 (47.182) Prec@5 73.828 (72.583)
Epoch: [86][810/5005] Time 0.214 (0.212) Data 0.044 (0.049) Loss 2.4634 (2.3103) Prec@1 45.312 (47.183) Prec@5 67.578 (72.579)
Epoch: [86][820/5005] Time 0.220 (0.212) Data 0.046 (0.049) Loss 2.4221 (2.3105) Prec@1 45.312 (47.179) Prec@5 71.484 (72.586)
Epoch: [86][830/5005] Time 0.203 (0.212) Data 0.049 (0.049) Loss 2.1610 (2.3102) Prec@1 50.000 (47.186) Prec@5 74.609 (72.589)
Epoch: [86][840/5005] Time 0.216 (0.212) Data 0.041 (0.049) Loss 2.2923 (2.3105) Prec@1 48.047 (47.198) Prec@5 70.703 (72.591)
Epoch: [86][850/5005] Time 0.213 (0.212) Data 0.044 (0.049) Loss 2.4793 (2.3102) Prec@1 46.484 (47.206) Prec@5 73.047 (72.592)
Epoch: [86][860/5005] Time 0.213 (0.212) Data 0.050 (0.049) Loss 2.3387 (2.3105) Prec@1 45.703 (47.199) Prec@5 68.359 (72.578)
Epoch: [86][870/5005] Time 0.205 (0.212) Data 0.063 (0.049) Loss 2.3791 (2.3100) Prec@1 46.094 (47.219) Prec@5 71.094 (72.583)
Epoch: [86][880/5005] Time 0.213 (0.212) Data 0.043 (0.049) Loss 2.2378 (2.3104) Prec@1 48.047 (47.217) Prec@5 71.875 (72.584)
Epoch: [86][890/5005] Time 0.213 (0.212) Data 0.041 (0.049) Loss 2.6603 (2.3101) Prec@1 39.062 (47.220) Prec@5 65.234 (72.587)
Epoch: [86][900/5005] Time 0.200 (0.212) Data 0.043 (0.048) Loss 2.1873 (2.3096) Prec@1 46.875 (47.218) Prec@5 78.125 (72.599)
Epoch: [86][910/5005] Time 0.214 (0.212) Data 0.044 (0.048) Loss 2.3629 (2.3095) Prec@1 43.750 (47.218) Prec@5 71.875 (72.589)
Epoch: [86][920/5005] Time 0.224 (0.212) Data 0.043 (0.048) Loss 2.3661 (2.3091) Prec@1 46.094 (47.227) Prec@5 73.047 (72.597)
Epoch: [86][930/5005] Time 0.213 (0.212) Data 0.047 (0.048) Loss 2.3120 (2.3090) Prec@1 46.484 (47.217) Prec@5 71.094 (72.606)
Epoch: [86][940/5005] Time 0.207 (0.212) Data 0.052 (0.048) Loss 2.0667 (2.3090) Prec@1 51.562 (47.210) Prec@5 78.906 (72.613)
Epoch: [86][950/5005] Time 0.204 (0.212) Data 0.048 (0.048) Loss 2.3663 (2.3094) Prec@1 47.656 (47.216) Prec@5 71.484 (72.612)
Epoch: [86][960/5005] Time 0.216 (0.212) Data 0.047 (0.048) Loss 2.5171 (2.3093) Prec@1 44.141 (47.214) Prec@5 71.094 (72.624)
Epoch: [86][970/5005] Time 0.213 (0.212) Data 0.046 (0.048) Loss 2.1807 (2.3096) Prec@1 50.000 (47.200) Prec@5 76.562 (72.616)
Epoch: [86][980/5005] Time 0.208 (0.212) Data 0.044 (0.048) Loss 2.2554 (2.3090) Prec@1 47.656 (47.204) Prec@5 70.703 (72.622)
Epoch: [86][990/5005] Time 0.213 (0.212) Data 0.043 (0.048) Loss 2.3523 (2.3096) Prec@1 50.391 (47.193) Prec@5 72.656 (72.611)
Epoch: [86][1000/5005] Time 0.214 (0.212) Data 0.044 (0.048) Loss 2.1942 (2.3092) Prec@1 49.219 (47.197) Prec@5 74.609 (72.615)
Epoch: [86][1010/5005] Time 0.211 (0.212) Data 0.043 (0.048) Loss 2.3430 (2.3088) Prec@1 47.266 (47.201) Prec@5 70.703 (72.621)
Epoch: [86][1020/5005] Time 0.209 (0.212) Data 0.041 (0.048) Loss 2.1321 (2.3090) Prec@1 51.172 (47.218) Prec@5 74.219 (72.611)
Epoch: [86][1030/5005] Time 0.205 (0.212) Data 0.040 (0.048) Loss 2.1840 (2.3087) Prec@1 51.562 (47.218) Prec@5 73.047 (72.612)
Epoch: [86][1040/5005] Time 0.195 (0.213) Data 0.051 (0.048) Loss 2.4267 (2.3085) Prec@1 44.141 (47.217) Prec@5 71.094 (72.620)
Epoch: [86][1050/5005] Time 0.196 (0.213) Data 0.042 (0.048) Loss 2.4160 (2.3083) Prec@1 48.828 (47.218) Prec@5 70.312 (72.624)
Epoch: [86][1060/5005] Time 0.214 (0.213) Data 0.045 (0.048) Loss 2.4775 (2.3087) Prec@1 44.922 (47.218) Prec@5 71.875 (72.622)
Epoch: [86][1070/5005] Time 0.204 (0.213) Data 0.043 (0.048) Loss 2.3095 (2.3088) Prec@1 47.656 (47.213) Prec@5 75.781 (72.623)
Epoch: [86][1080/5005] Time 0.199 (0.213) Data 0.051 (0.048) Loss 2.2758 (2.3092) Prec@1 46.875 (47.202) Prec@5 71.094 (72.613)
Epoch: [86][1090/5005] Time 0.219 (0.213) Data 0.047 (0.048) Loss 2.1307 (2.3085) Prec@1 51.562 (47.216) Prec@5 73.828 (72.621)
Epoch: [86][1100/5005] Time 0.210 (0.213) Data 0.042 (0.048) Loss 2.2265 (2.3081) Prec@1 47.266 (47.222) Prec@5 73.047 (72.626)
Epoch: [86][1110/5005] Time 0.215 (0.213) Data 0.048 (0.048) Loss 2.3503 (2.3083) Prec@1 43.750 (47.218) Prec@5 72.266 (72.626)
Epoch: [86][1120/5005] Time 0.211 (0.213) Data 0.043 (0.048) Loss 2.1576 (2.3075) Prec@1 50.781 (47.235) Prec@5 74.609 (72.636)
Epoch: [86][1130/5005] Time 0.209 (0.213) Data 0.041 (0.048) Loss 2.3600 (2.3075) Prec@1 47.266 (47.238) Prec@5 74.609 (72.636)
Epoch: [86][1140/5005] Time 0.209 (0.213) Data 0.039 (0.048) Loss 2.2844 (2.3073) Prec@1 46.875 (47.236) Prec@5 72.266 (72.641)
Epoch: [86][1150/5005] Time 0.206 (0.213) Data 0.040 (0.048) Loss 2.1387 (2.3069) Prec@1 50.000 (47.251) Prec@5 73.828 (72.647)
Epoch: [86][1160/5005] Time 0.208 (0.213) Data 0.045 (0.048) Loss 2.3015 (2.3069) Prec@1 49.219 (47.263) Prec@5 67.969 (72.643)
Epoch: [86][1170/5005] Time 0.217 (0.213) Data 0.056 (0.048) Loss 2.3320 (2.3070) Prec@1 46.484 (47.255) Prec@5 71.875 (72.647)
Epoch: [86][1180/5005] Time 0.209 (0.213) Data 0.045 (0.048) Loss 2.3477 (2.3068) Prec@1 49.609 (47.252) Prec@5 71.094 (72.649)
Epoch: [86][1190/5005] Time 0.207 (0.213) Data 0.051 (0.048) Loss 2.2119 (2.3066) Prec@1 48.828 (47.256) Prec@5 71.875 (72.658)
Epoch: [86][1200/5005] Time 0.207 (0.213) Data 0.042 (0.048) Loss 2.4244 (2.3067) Prec@1 44.531 (47.257) Prec@5 72.656 (72.655)
Epoch: [86][1210/5005] Time 0.200 (0.212) Data 0.049 (0.048) Loss 2.3677 (2.3071) Prec@1 41.016 (47.245) Prec@5 75.781 (72.655)
Epoch: [86][1220/5005] Time 0.211 (0.212) Data 0.046 (0.048) Loss 2.2842 (2.3072) Prec@1 50.391 (47.247) Prec@5 71.484 (72.657)
Epoch: [86][1230/5005] Time 0.212 (0.212) Data 0.043 (0.048) Loss 2.2998 (2.3072) Prec@1 51.562 (47.245) Prec@5 75.391 (72.658)
Epoch: [86][1240/5005] Time 0.217 (0.212) Data 0.044 (0.048) Loss 2.3119 (2.3074) Prec@1 48.828 (47.237) Prec@5 73.047 (72.650)
Epoch: [86][1250/5005] Time 0.207 (0.212) Data 0.061 (0.048) Loss 2.5913 (2.3079) Prec@1 42.969 (47.226) Prec@5 71.875 (72.638)
Epoch: [86][1260/5005] Time 0.212 (0.212) Data 0.043 (0.048) Loss 2.1197 (2.3076) Prec@1 49.219 (47.226) Prec@5 76.562 (72.645)
Epoch: [86][1270/5005] Time 0.207 (0.212) Data 0.043 (0.048) Loss 2.4169 (2.3081) Prec@1 47.656 (47.219) Prec@5 70.703 (72.631)
Epoch: [86][1280/5005] Time 0.200 (0.212) Data 0.067 (0.048) Loss 2.1837 (2.3086) Prec@1 48.438 (47.214) Prec@5 75.000 (72.631)
Epoch: [86][1290/5005] Time 0.220 (0.212) Data 0.041 (0.048) Loss 2.1530 (2.3083) Prec@1 50.391 (47.228) Prec@5 73.828 (72.634)
Epoch: [86][1300/5005] Time 0.218 (0.212) Data 0.046 (0.048) Loss 2.1586 (2.3079) Prec@1 53.906 (47.241) Prec@5 71.875 (72.636)
Epoch: [86][1310/5005] Time 0.208 (0.212) Data 0.041 (0.048) Loss 2.1408 (2.3078) Prec@1 50.781 (47.250) Prec@5 77.344 (72.642)
Epoch: [86][1320/5005] Time 0.207 (0.212) Data 0.042 (0.048) Loss 2.4205 (2.3076) Prec@1 48.047 (47.256) Prec@5 72.656 (72.648)
Epoch: [86][1330/5005] Time 0.203 (0.212) Data 0.042 (0.048) Loss 2.4829 (2.3080) Prec@1 42.188 (47.246) Prec@5 71.875 (72.642)
Epoch: [86][1340/5005] Time 0.213 (0.212) Data 0.039 (0.048) Loss 2.3081 (2.3076) Prec@1 46.484 (47.250) Prec@5 70.703 (72.645)
Epoch: [86][1350/5005] Time 0.196 (0.212) Data 0.043 (0.048) Loss 2.7190 (2.3080) Prec@1 42.578 (47.244) Prec@5 67.188 (72.637)
Epoch: [86][1360/5005] Time 0.199 (0.212) Data 0.042 (0.048) Loss 2.2082 (2.3078) Prec@1 51.172 (47.248) Prec@5 73.438 (72.638)
Epoch: [86][1370/5005] Time 0.213 (0.212) Data 0.043 (0.048) Loss 2.3869 (2.3077) Prec@1 44.531 (47.240) Prec@5 70.312 (72.642)
Epoch: [86][1380/5005] Time 0.212 (0.212) Data 0.046 (0.048) Loss 2.3672 (2.3076) Prec@1 49.219 (47.241) Prec@5 71.875 (72.643)
Epoch: [86][1390/5005] Time 0.206 (0.212) Data 0.047 (0.048) Loss 2.1985 (2.3075) Prec@1 48.828 (47.245) Prec@5 76.172 (72.646)
Epoch: [86][1400/5005] Time 0.205 (0.212) Data 0.042 (0.048) Loss 2.3723 (2.3066) Prec@1 47.266 (47.256) Prec@5 71.875 (72.656)
Epoch: [86][1410/5005] Time 0.206 (0.212) Data 0.039 (0.048) Loss 2.2150 (2.3062) Prec@1 48.047 (47.258) Prec@5 74.219 (72.666)
Epoch: [86][1420/5005] Time 0.210 (0.212) Data 0.043 (0.048) Loss 2.6499 (2.3063) Prec@1 43.359 (47.250) Prec@5 69.141 (72.672)
Epoch: [86][1430/5005] Time 0.204 (0.212) Data 0.041 (0.048) Loss 2.1423 (2.3061) Prec@1 49.609 (47.259) Prec@5 73.438 (72.679)
Epoch: [86][1440/5005] Time 0.207 (0.212) Data 0.046 (0.048) Loss 2.0736 (2.3058) Prec@1 50.000 (47.263) Prec@5 75.000 (72.683)
Epoch: [86][1450/5005] Time 0.212 (0.212) Data 0.060 (0.048) Loss 2.1863 (2.3055) Prec@1 49.219 (47.266) Prec@5 73.438 (72.678)
Epoch: [86][1460/5005] Time 0.205 (0.212) Data 0.042 (0.048) Loss 2.2904 (2.3053) Prec@1 48.047 (47.273) Prec@5 72.266 (72.671)
Epoch: [86][1470/5005] Time 0.213 (0.212) Data 0.042 (0.048) Loss 2.3650 (2.3055) Prec@1 44.531 (47.274) Prec@5 71.094 (72.670)
Epoch: [86][1480/5005] Time 0.205 (0.212) Data 0.046 (0.048) Loss 2.1539 (2.3056) Prec@1 53.906 (47.273) Prec@5 76.172 (72.668)
Epoch: [86][1490/5005] Time 0.212 (0.212) Data 0.041 (0.047) Loss 2.3483 (2.3052) Prec@1 48.828 (47.273) Prec@5 72.656 (72.674)
Epoch: [86][1500/5005] Time 0.213 (0.212) Data 0.044 (0.047) Loss 2.3228 (2.3048) Prec@1 48.438 (47.278) Prec@5 73.828 (72.684)
Epoch: [86][1510/5005] Time 0.212 (0.212) Data 0.044 (0.047) Loss 2.2036 (2.3046) Prec@1 48.438 (47.279) Prec@5 76.562 (72.687)
Epoch: [86][1520/5005] Time 0.212 (0.212) Data 0.044 (0.047) Loss 2.5068 (2.3046) Prec@1 43.750 (47.269) Prec@5 68.750 (72.683)
Epoch: [86][1530/5005] Time 0.215 (0.212) Data 0.041 (0.047) Loss 2.4190 (2.3049) Prec@1 43.750 (47.269) Prec@5 70.312 (72.680)
Epoch: [86][1540/5005] Time 0.208 (0.212) Data 0.043 (0.047) Loss 2.4315 (2.3052) Prec@1 44.922 (47.266) Prec@5 72.266 (72.677)
Epoch: [86][1550/5005] Time 0.210 (0.212) Data 0.044 (0.047) Loss 2.2803 (2.3048) Prec@1 50.391 (47.270) Prec@5 73.047 (72.682)
Epoch: [86][1560/5005] Time 0.218 (0.212) Data 0.043 (0.047) Loss 2.1390 (2.3049) Prec@1 48.438 (47.262) Prec@5 73.438 (72.680)
Epoch: [86][1570/5005] Time 0.215 (0.212) Data 0.048 (0.047) Loss 2.1614 (2.3049) Prec@1 46.094 (47.259) Prec@5 75.781 (72.676)
Epoch: [86][1580/5005] Time 0.220 (0.212) Data 0.046 (0.047) Loss 2.1363 (2.3050) Prec@1 48.047 (47.258) Prec@5 77.734 (72.680)
Epoch: [86][1590/5005] Time 0.207 (0.212) Data 0.049 (0.047) Loss 2.2161 (2.3051) Prec@1 47.656 (47.255) Prec@5 72.656 (72.679)
Epoch: [86][1600/5005] Time 0.204 (0.212) Data 0.045 (0.047) Loss 2.3110 (2.3054) Prec@1 45.312 (47.252) Prec@5 71.484 (72.673)
Epoch: [86][1610/5005] Time 0.207 (0.212) Data 0.046 (0.047) Loss 2.4181 (2.3053) Prec@1 45.703 (47.256) Prec@5 70.312 (72.679)
Epoch: [86][1620/5005] Time 0.210 (0.212) Data 0.044 (0.047) Loss 2.4519 (2.3053) Prec@1 44.141 (47.252) Prec@5 69.922 (72.680)
Epoch: [86][1630/5005] Time 0.197 (0.212) Data 0.050 (0.047) Loss 2.1366 (2.3053) Prec@1 49.219 (47.255) Prec@5 75.391 (72.676)
Epoch: [86][1640/5005] Time 0.206 (0.212) Data 0.047 (0.047) Loss 2.3951 (2.3058) Prec@1 45.703 (47.246) Prec@5 73.438 (72.669)
Epoch: [86][1650/5005] Time 0.216 (0.212) Data 0.043 (0.047) Loss 2.4453 (2.3057) Prec@1 45.312 (47.247) Prec@5 69.531 (72.673)
Epoch: [86][1660/5005] Time 0.209 (0.212) Data 0.043 (0.047) Loss 2.2073 (2.3052) Prec@1 49.219 (47.257) Prec@5 74.609 (72.684)
Epoch: [86][1670/5005] Time 0.212 (0.212) Data 0.039 (0.047) Loss 2.2218 (2.3054) Prec@1 48.438 (47.250) Prec@5 73.438 (72.682)
Epoch: [86][1680/5005] Time 0.211 (0.212) Data 0.045 (0.047) Loss 2.3970 (2.3058) Prec@1 53.906 (47.251) Prec@5 69.922 (72.669)
Epoch: [86][1690/5005] Time 0.211 (0.212) Data 0.042 (0.047) Loss 2.1329 (2.3054) Prec@1 51.562 (47.250) Prec@5 74.219 (72.675)
Epoch: [86][1700/5005] Time 0.195 (0.212) Data 0.047 (0.047) Loss 2.1940 (2.3051) Prec@1 47.656 (47.259) Prec@5 73.047 (72.677)
Epoch: [86][1710/5005] Time 0.210 (0.212) Data 0.046 (0.047) Loss 2.1218 (2.3046) Prec@1 50.781 (47.268) Prec@5 75.781 (72.681)
Epoch: [86][1720/5005] Time 0.213 (0.212) Data 0.043 (0.047) Loss 2.3253 (2.3046) Prec@1 50.000 (47.271) Prec@5 73.438 (72.683)
Epoch: [86][1730/5005] Time 0.199 (0.212) Data 0.045 (0.047) Loss 2.1999 (2.3043) Prec@1 46.094 (47.269) Prec@5 75.000 (72.686)
Epoch: [86][1740/5005] Time 0.206 (0.212) Data 0.039 (0.047) Loss 2.3799 (2.3042) Prec@1 46.094 (47.270) Prec@5 73.438 (72.695)
Epoch: [86][1750/5005] Time 0.214 (0.212) Data 0.043 (0.047) Loss 2.3694 (2.3040) Prec@1 42.969 (47.272) Prec@5 70.703 (72.696)
Epoch: [86][1760/5005] Time 0.206 (0.212) Data 0.039 (0.047) Loss 2.0482 (2.3036) Prec@1 50.781 (47.278) Prec@5 76.172 (72.705)
Epoch: [86][1770/5005] Time 0.208 (0.212) Data 0.038 (0.047) Loss 2.4897 (2.3036) Prec@1 44.922 (47.281) Prec@5 71.484 (72.707)
Epoch: [86][1780/5005] Time 0.209 (0.211) Data 0.046 (0.047) Loss 2.3105 (2.3033) Prec@1 48.047 (47.286) Prec@5 69.141 (72.709)
Epoch: [86][1790/5005] Time 0.209 (0.211) Data 0.043 (0.047) Loss 2.0778 (2.3031) Prec@1 52.344 (47.288) Prec@5 75.391 (72.710)
Epoch: [86][1800/5005] Time 0.194 (0.211) Data 0.048 (0.047) Loss 2.2557 (2.3028) Prec@1 49.219 (47.292) Prec@5 72.266 (72.717)
Epoch: [86][1810/5005] Time 0.217 (0.211) Data 0.046 (0.047) Loss 2.1461 (2.3025) Prec@1 48.828 (47.293) Prec@5 71.875 (72.724)
Epoch: [86][1820/5005] Time 0.209 (0.211) Data 0.044 (0.047) Loss 2.1949 (2.3026) Prec@1 45.703 (47.291) Prec@5 76.953 (72.729)
Epoch: [86][1830/5005] Time 0.219 (0.211) Data 0.045 (0.047) Loss 2.1224 (2.3024) Prec@1 53.516 (47.294) Prec@5 76.172 (72.732)
Epoch: [86][1840/5005] Time 0.208 (0.211) Data 0.039 (0.047) Loss 2.2912 (2.3022) Prec@1 46.094 (47.299) Prec@5 75.391 (72.734)
Epoch: [86][1850/5005] Time 0.214 (0.211) Data 0.050 (0.047) Loss 2.3405 (2.3021) Prec@1 48.047 (47.302) Prec@5 70.703 (72.734)
Epoch: [86][1860/5005] Time 0.197 (0.211) Data 0.047 (0.047) Loss 2.2481 (2.3020) Prec@1 53.906 (47.304) Prec@5 73.438 (72.740)
Epoch: [86][1870/5005] Time 0.200 (0.211) Data 0.044 (0.047) Loss 2.4955 (2.3023) Prec@1 44.531 (47.295) Prec@5 69.922 (72.735)
Epoch: [86][1880/5005] Time 0.219 (0.211) Data 0.043 (0.047) Loss 2.2488 (2.3023) Prec@1 48.047 (47.292) Prec@5 73.828 (72.735)
Epoch: [86][1890/5005] Time 0.206 (0.211) Data 0.041 (0.047) Loss 2.3729 (2.3024) Prec@1 45.312 (47.291) Prec@5 73.438 (72.732)
Epoch: [86][1900/5005] Time 0.207 (0.211) Data 0.043 (0.047) Loss 2.2478 (2.3028) Prec@1 49.609 (47.283) Prec@5 75.000 (72.725)
Epoch: [86][1910/5005] Time 0.212 (0.211) Data 0.043 (0.047) Loss 2.2741 (2.3027) Prec@1 46.094 (47.285) Prec@5 73.438 (72.725)
Epoch: [86][1920/5005] Time 0.211 (0.211) Data 0.042 (0.047) Loss 2.2909 (2.3025) Prec@1 45.703 (47.288) Prec@5 72.266 (72.721)
Epoch: [86][1930/5005] Time 0.193 (0.211) Data 0.060 (0.047) Loss 2.0977 (2.3023) Prec@1 53.125 (47.295) Prec@5 74.219 (72.724)
Epoch: [86][1940/5005] Time 0.212 (0.211) Data 0.048 (0.047) Loss 2.1368 (2.3020) Prec@1 52.734 (47.299) Prec@5 75.391 (72.726)
Epoch: [86][1950/5005] Time 0.207 (0.211) Data 0.043 (0.047) Loss 2.3766 (2.3021) Prec@1 43.359 (47.298) Prec@5 70.703 (72.723)
Epoch: [86][1960/5005] Time 0.199 (0.211) Data 0.043 (0.047) Loss 2.1697 (2.3019) Prec@1 49.219 (47.303) Prec@5 72.266 (72.725)
Epoch: [86][1970/5005] Time 0.209 (0.211) Data 0.048 (0.047) Loss 2.3770 (2.3020) Prec@1 44.141 (47.299) Prec@5 71.484 (72.720)
Epoch: [86][1980/5005] Time 0.203 (0.211) Data 0.048 (0.047) Loss 2.1077 (2.3019) Prec@1 51.953 (47.295) Prec@5 76.172 (72.725)
Epoch: [86][1990/5005] Time 0.204 (0.211) Data 0.051 (0.047) Loss 2.0743 (2.3016) Prec@1 51.562 (47.301) Prec@5 78.516 (72.731)
Epoch: [86][2000/5005] Time 0.203 (0.211) Data 0.059 (0.047) Loss 2.2360 (2.3019) Prec@1 48.438 (47.295) Prec@5 75.391 (72.727)
Epoch: [86][2010/5005] Time 0.211 (0.211) Data 0.044 (0.047) Loss 2.2035 (2.3019) Prec@1 50.391 (47.295) Prec@5 75.391 (72.727)
Epoch: [86][2020/5005] Time 0.213 (0.211) Data 0.044 (0.047) Loss 2.3402 (2.3020) Prec@1 48.047 (47.295) Prec@5 72.656 (72.727)
Epoch: [86][2030/5005] Time 0.209 (0.211) Data 0.048 (0.047) Loss 2.2370 (2.3023) Prec@1 46.875 (47.291) Prec@5 74.609 (72.722)
Epoch: [86][2040/5005] Time 0.213 (0.211) Data 0.044 (0.047) Loss 2.2032 (2.3021) Prec@1 49.219 (47.294) Prec@5 74.609 (72.729)
Epoch: [86][2050/5005] Time 0.203 (0.211) Data 0.043 (0.047) Loss 2.3697 (2.3020) Prec@1 46.094 (47.291) Prec@5 73.438 (72.735)
Epoch: [86][2060/5005] Time 0.208 (0.211) Data 0.043 (0.047) Loss 2.1748 (2.3021) Prec@1 48.438 (47.286) Prec@5 75.000 (72.739)
Epoch: [86][2070/5005] Time 0.212 (0.211) Data 0.041 (0.047) Loss 2.5120 (2.3023) Prec@1 39.844 (47.278) Prec@5 71.484 (72.734)
Epoch: [86][2080/5005] Time 0.215 (0.211) Data 0.042 (0.047) Loss 2.3387 (2.3022) Prec@1 48.828 (47.283) Prec@5 75.000 (72.733)
Epoch: [86][2090/5005] Time 0.213 (0.211) Data 0.043 (0.047) Loss 2.1702 (2.3018) Prec@1 49.609 (47.292) Prec@5 75.781 (72.738)
Epoch: [86][2100/5005] Time 0.216 (0.211) Data 0.042 (0.047) Loss 2.3242 (2.3018) Prec@1 45.703 (47.298) Prec@5 73.438 (72.738)
Epoch: [86][2110/5005] Time 0.210 (0.211) Data 0.041 (0.047) Loss 2.0444 (2.3018) Prec@1 49.609 (47.294) Prec@5 75.000 (72.733)
Epoch: [86][2120/5005] Time 0.213 (0.211) Data 0.044 (0.047) Loss 2.2478 (2.3016) Prec@1 49.219 (47.302) Prec@5 74.609 (72.738)
Epoch: [86][2130/5005] Time 0.201 (0.211) Data 0.041 (0.047) Loss 2.2867 (2.3011) Prec@1 48.438 (47.308) Prec@5 69.922 (72.743)
Epoch: [86][2140/5005] Time 0.212 (0.211) Data 0.042 (0.047) Loss 2.1993 (2.3011) Prec@1 49.609 (47.310) Prec@5 74.219 (72.743)
Epoch: [86][2150/5005] Time 0.213 (0.211) Data 0.042 (0.047) Loss 2.1335 (2.3012) Prec@1 50.000 (47.311) Prec@5 74.609 (72.741)
Epoch: [86][2160/5005] Time 0.202 (0.211) Data 0.043 (0.047) Loss 2.2201 (2.3011) Prec@1 48.047 (47.311) Prec@5 73.438 (72.744)
Epoch: [86][2170/5005] Time 0.204 (0.211) Data 0.050 (0.047) Loss 2.1857 (2.3008) Prec@1 48.828 (47.319) Prec@5 74.609 (72.752)
Epoch: [86][2180/5005] Time 0.205 (0.211) Data 0.046 (0.047) Loss 2.3611 (2.3009) Prec@1 48.047 (47.313) Prec@5 70.312 (72.750)
Epoch: [86][2190/5005] Time 0.208 (0.211) Data 0.044 (0.047) Loss 2.4925 (2.3009) Prec@1 48.438 (47.316) Prec@5 68.359 (72.748)
Epoch: [86][2200/5005] Time 0.206 (0.211) Data 0.044 (0.047) Loss 2.3717 (2.3012) Prec@1 44.141 (47.306) Prec@5 72.266 (72.745)
Epoch: [86][2210/5005] Time 0.202 (0.211) Data 0.050 (0.047) Loss 2.2836 (2.3013) Prec@1 47.266 (47.302) Prec@5 70.703 (72.745)
Epoch: [86][2220/5005] Time 0.201 (0.211) Data 0.046 (0.047) Loss 2.5103 (2.3012) Prec@1 46.484 (47.307) Prec@5 70.703 (72.749)
Epoch: [86][2230/5005] Time 0.202 (0.211) Data 0.046 (0.047) Loss 2.3966 (2.3013) Prec@1 46.484 (47.310) Prec@5 74.609 (72.749)
Epoch: [86][2240/5005] Time 0.200 (0.211) Data 0.044 (0.047) Loss 2.3192 (2.3012) Prec@1 46.484 (47.312) Prec@5 75.391 (72.752)
Epoch: [86][2250/5005] Time 0.207 (0.211) Data 0.043 (0.047) Loss 2.0610 (2.3014) Prec@1 49.219 (47.307) Prec@5 77.344 (72.748)
Epoch: [86][2260/5005] Time 0.213 (0.211) Data 0.044 (0.047) Loss 2.1953 (2.3010) Prec@1 48.438 (47.312) Prec@5 72.656 (72.752)
Epoch: [86][2270/5005] Time 0.218 (0.211) Data 0.045 (0.047) Loss 2.3890 (2.3007) Prec@1 46.094 (47.322) Prec@5 69.531 (72.758)
Epoch: [86][2280/5005] Time 0.206 (0.211) Data 0.043 (0.047) Loss 2.3735 (2.3008) Prec@1 44.141 (47.320) Prec@5 72.656 (72.762)
Epoch: [86][2290/5005] Time 0.219 (0.211) Data 0.041 (0.047) Loss 2.0751 (2.3007) Prec@1 53.906 (47.322) Prec@5 75.781 (72.762)
Epoch: [86][2300/5005] Time 0.198 (0.211) Data 0.048 (0.047) Loss 2.1306 (2.3008) Prec@1 51.953 (47.327) Prec@5 72.266 (72.762)
Epoch: [86][2310/5005] Time 0.205 (0.211) Data 0.052 (0.047) Loss 2.0418 (2.3007) Prec@1 52.344 (47.328) Prec@5 75.000 (72.762)
Epoch: [86][2320/5005] Time 0.207 (0.211) Data 0.043 (0.047) Loss 2.3614 (2.3008) Prec@1 45.312 (47.326) Prec@5 71.875 (72.756)
Epoch: [86][2330/5005] Time 0.208 (0.211) Data 0.042 (0.047) Loss 2.2395 (2.3007) Prec@1 46.484 (47.325) Prec@5 74.609 (72.761)
Epoch: [86][2340/5005] Time 0.210 (0.211) Data 0.044 (0.047) Loss 2.2990 (2.3005) Prec@1 44.531 (47.331) Prec@5 74.609 (72.766)
Epoch: [86][2350/5005] Time 0.195 (0.211) Data 0.059 (0.047) Loss 2.2093 (2.3003) Prec@1 47.266 (47.331) Prec@5 75.000 (72.768)
Epoch: [86][2360/5005] Time 0.198 (0.211) Data 0.043 (0.047) Loss 2.2101 (2.3004) Prec@1 48.828 (47.332) Prec@5 74.609 (72.766)
Epoch: [86][2370/5005] Time 0.207 (0.211) Data 0.048 (0.047) Loss 2.3403 (2.3004) Prec@1 47.266 (47.328) Prec@5 68.750 (72.760)
Epoch: [86][2380/5005] Time 0.210 (0.211) Data 0.044 (0.047) Loss 2.3119 (2.3001) Prec@1 49.609 (47.332) Prec@5 71.484 (72.764)
Epoch: [86][2390/5005] Time 0.212 (0.211) Data 0.043 (0.047) Loss 2.2265 (2.2999) Prec@1 48.828 (47.337) Prec@5 71.875 (72.768)
Epoch: [86][2400/5005] Time 0.204 (0.211) Data 0.041 (0.047) Loss 2.2627 (2.3000) Prec@1 49.609 (47.331) Prec@5 72.656 (72.769)
Epoch: [86][2410/5005] Time 0.212 (0.211) Data 0.043 (0.047) Loss 2.4109 (2.3000) Prec@1 44.922 (47.332) Prec@5 73.438 (72.771)
Epoch: [86][2420/5005] Time 0.214 (0.211) Data 0.046 (0.047) Loss 2.3917 (2.2999) Prec@1 47.266 (47.340) Prec@5 70.703 (72.770)
Epoch: [86][2430/5005] Time 0.208 (0.211) Data 0.048 (0.047) Loss 2.2201 (2.3000) Prec@1 51.172 (47.340) Prec@5 71.094 (72.766)
Epoch: [86][2440/5005] Time 0.208 (0.211) Data 0.049 (0.047) Loss 2.0705 (2.2999) Prec@1 52.734 (47.348) Prec@5 78.125 (72.767)
Epoch: [86][2450/5005] Time 0.209 (0.211) Data 0.047 (0.047) Loss 2.1121 (2.2997) Prec@1 54.688 (47.351) Prec@5 74.609 (72.766)
Epoch: [86][2460/5005] Time 0.203 (0.211) Data 0.049 (0.047) Loss 2.3881 (2.2997) Prec@1 42.188 (47.353) Prec@5 72.266 (72.766)
Epoch: [86][2470/5005] Time 0.199 (0.211) Data 0.049 (0.047) Loss 2.1929 (2.2995) Prec@1 48.828 (47.354) Prec@5 75.391 (72.769)
Epoch: [86][2480/5005] Time 0.205 (0.211) Data 0.047 (0.047) Loss 2.4887 (2.2997) Prec@1 42.969 (47.347) Prec@5 71.875 (72.767)
Epoch: [86][2490/5005] Time 0.199 (0.210) Data 0.061 (0.047) Loss 2.0897 (2.2997) Prec@1 49.219 (47.345) Prec@5 75.391 (72.767)
Epoch: [86][2500/5005] Time 0.213 (0.210) Data 0.052 (0.047) Loss 2.2612 (2.2996) Prec@1 49.609 (47.346) Prec@5 71.484 (72.766)
Epoch: [86][2510/5005] Time 0.207 (0.210) Data 0.049 (0.047) Loss 2.4077 (2.2998) Prec@1 44.922 (47.344) Prec@5 75.000 (72.762)
Epoch: [86][2520/5005] Time 0.205 (0.210) Data 0.045 (0.047) Loss 2.1579 (2.2997) Prec@1 50.391 (47.346) Prec@5 73.828 (72.762)
Epoch: [86][2530/5005] Time 0.216 (0.210) Data 0.044 (0.047) Loss 2.4142 (2.2998) Prec@1 44.531 (47.341) Prec@5 68.359 (72.759)
Epoch: [86][2540/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.2815 (2.2998) Prec@1 47.266 (47.343) Prec@5 71.875 (72.759)
Epoch: [86][2550/5005] Time 0.206 (0.210) Data 0.043 (0.047) Loss 2.2691 (2.2996) Prec@1 49.609 (47.346) Prec@5 72.656 (72.762)
Epoch: [86][2560/5005] Time 0.204 (0.210) Data 0.040 (0.047) Loss 2.5209 (2.2998) Prec@1 45.312 (47.348) Prec@5 66.406 (72.759)
Epoch: [86][2570/5005] Time 0.209 (0.210) Data 0.042 (0.047) Loss 2.2398 (2.2999) Prec@1 46.094 (47.348) Prec@5 77.734 (72.758)
Epoch: [86][2580/5005] Time 0.205 (0.210) Data 0.044 (0.047) Loss 2.4390 (2.3003) Prec@1 42.578 (47.342) Prec@5 73.438 (72.753)
Epoch: [86][2590/5005] Time 0.204 (0.210) Data 0.043 (0.047) Loss 2.3920 (2.3002) Prec@1 43.359 (47.346) Prec@5 71.875 (72.751)
Epoch: [86][2600/5005] Time 0.214 (0.210) Data 0.043 (0.047) Loss 2.3766 (2.3005) Prec@1 47.656 (47.340) Prec@5 72.266 (72.748)
Epoch: [86][2610/5005] Time 0.210 (0.210) Data 0.042 (0.047) Loss 2.4156 (2.3002) Prec@1 47.656 (47.346) Prec@5 71.875 (72.749)
Epoch: [86][2620/5005] Time 0.200 (0.210) Data 0.053 (0.047) Loss 2.1350 (2.3002) Prec@1 50.781 (47.345) Prec@5 75.000 (72.752)
Epoch: [86][2630/5005] Time 0.215 (0.210) Data 0.042 (0.047) Loss 2.5038 (2.3007) Prec@1 45.703 (47.339) Prec@5 71.484 (72.746)
Epoch: [86][2640/5005] Time 0.212 (0.210) Data 0.044 (0.047) Loss 2.4507 (2.3007) Prec@1 42.188 (47.339) Prec@5 69.531 (72.746)
Epoch: [86][2650/5005] Time 0.206 (0.210) Data 0.065 (0.047) Loss 2.5094 (2.3007) Prec@1 43.359 (47.335) Prec@5 67.969 (72.746)
Epoch: [86][2660/5005] Time 0.211 (0.210) Data 0.046 (0.047) Loss 2.1535 (2.3006) Prec@1 47.656 (47.339) Prec@5 75.000 (72.746)
Epoch: [86][2670/5005] Time 0.202 (0.210) Data 0.049 (0.047) Loss 1.9536 (2.3003) Prec@1 50.391 (47.346) Prec@5 79.297 (72.748)
Epoch: [86][2680/5005] Time 0.208 (0.210) Data 0.048 (0.047) Loss 2.1299 (2.3002) Prec@1 50.000 (47.348) Prec@5 77.734 (72.751)
Epoch: [86][2690/5005] Time 0.206 (0.210) Data 0.050 (0.047) Loss 2.1433 (2.3001) Prec@1 53.906 (47.353) Prec@5 77.344 (72.751)
Epoch: [86][2700/5005] Time 0.206 (0.210) Data 0.049 (0.047) Loss 2.2263 (2.3002) Prec@1 45.703 (47.350) Prec@5 75.781 (72.751)
Epoch: [86][2710/5005] Time 0.218 (0.210) Data 0.046 (0.047) Loss 2.0738 (2.3003) Prec@1 51.172 (47.344) Prec@5 74.609 (72.752)
Epoch: [86][2720/5005] Time 0.218 (0.210) Data 0.047 (0.047) Loss 2.2165 (2.3004) Prec@1 51.172 (47.343) Prec@5 75.781 (72.751)
Epoch: [86][2730/5005] Time 0.207 (0.210) Data 0.065 (0.047) Loss 2.2901 (2.3001) Prec@1 48.828 (47.349) Prec@5 72.656 (72.758)
Epoch: [86][2740/5005] Time 0.203 (0.210) Data 0.055 (0.047) Loss 2.2396 (2.2999) Prec@1 49.609 (47.356) Prec@5 74.609 (72.761)
Epoch: [86][2750/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.2804 (2.2997) Prec@1 47.266 (47.358) Prec@5 72.656 (72.764)
Epoch: [86][2760/5005] Time 0.204 (0.210) Data 0.045 (0.047) Loss 2.3351 (2.2995) Prec@1 47.266 (47.364) Prec@5 73.828 (72.766)
Epoch: [86][2770/5005] Time 0.204 (0.210) Data 0.043 (0.047) Loss 2.2287 (2.2995) Prec@1 50.781 (47.364) Prec@5 74.609 (72.766)
Epoch: [86][2780/5005] Time 0.213 (0.210) Data 0.047 (0.047) Loss 2.4806 (2.2995) Prec@1 44.531 (47.363) Prec@5 67.578 (72.761)
Epoch: [86][2790/5005] Time 0.215 (0.210) Data 0.041 (0.047) Loss 2.5777 (2.2996) Prec@1 42.578 (47.363) Prec@5 67.578 (72.761)
Epoch: [86][2800/5005] Time 0.206 (0.210) Data 0.045 (0.047) Loss 2.0292 (2.2995) Prec@1 51.953 (47.365) Prec@5 77.344 (72.763)
Epoch: [86][2810/5005] Time 0.194 (0.210) Data 0.055 (0.047) Loss 2.5436 (2.2996) Prec@1 42.969 (47.362) Prec@5 67.578 (72.763)
Epoch: [86][2820/5005] Time 0.216 (0.210) Data 0.041 (0.047) Loss 1.9492 (2.2994) Prec@1 50.781 (47.366) Prec@5 78.125 (72.768)
Epoch: [86][2830/5005] Time 0.207 (0.210) Data 0.043 (0.047) Loss 2.5141 (2.2995) Prec@1 42.969 (47.365) Prec@5 70.312 (72.767)
Epoch: [86][2840/5005] Time 0.219 (0.210) Data 0.048 (0.047) Loss 2.2419 (2.2995) Prec@1 50.000 (47.363) Prec@5 74.609 (72.764)
Epoch: [86][2850/5005] Time 0.209 (0.210) Data 0.043 (0.047) Loss 2.3041 (2.2995) Prec@1 48.828 (47.365) Prec@5 72.266 (72.765)
Epoch: [86][2860/5005] Time 0.202 (0.210) Data 0.047 (0.047) Loss 2.2838 (2.2996) Prec@1 51.172 (47.364) Prec@5 71.875 (72.765)
Epoch: [86][2870/5005] Time 0.225 (0.210) Data 0.047 (0.047) Loss 2.1707 (2.2993) Prec@1 48.438 (47.370) Prec@5 76.953 (72.768)
Epoch: [86][2880/5005] Time 0.214 (0.210) Data 0.042 (0.047) Loss 2.4233 (2.2993) Prec@1 40.625 (47.372) Prec@5 72.266 (72.767)
Epoch: [86][2890/5005] Time 0.196 (0.210) Data 0.068 (0.047) Loss 2.3980 (2.2992) Prec@1 44.141 (47.376) Prec@5 71.875 (72.769)
Epoch: [86][2900/5005] Time 0.203 (0.210) Data 0.047 (0.047) Loss 2.1610 (2.2989) Prec@1 52.344 (47.385) Prec@5 77.344 (72.775)
Epoch: [86][2910/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.1966 (2.2989) Prec@1 50.391 (47.385) Prec@5 78.125 (72.775)
Epoch: [86][2920/5005] Time 0.214 (0.210) Data 0.044 (0.047) Loss 2.5385 (2.2989) Prec@1 43.750 (47.388) Prec@5 70.703 (72.778)
Epoch: [86][2930/5005] Time 0.206 (0.210) Data 0.042 (0.047) Loss 2.5524 (2.2991) Prec@1 44.531 (47.386) Prec@5 69.141 (72.773)
Epoch: [86][2940/5005] Time 0.205 (0.210) Data 0.049 (0.047) Loss 2.4125 (2.2989) Prec@1 44.922 (47.388) Prec@5 67.578 (72.775)
Epoch: [86][2950/5005] Time 0.215 (0.210) Data 0.049 (0.047) Loss 2.3241 (2.2987) Prec@1 44.531 (47.392) Prec@5 76.172 (72.778)
Epoch: [86][2960/5005] Time 0.215 (0.210) Data 0.047 (0.047) Loss 2.2457 (2.2984) Prec@1 49.219 (47.399) Prec@5 73.828 (72.782)
Epoch: [86][2970/5005] Time 0.202 (0.210) Data 0.042 (0.047) Loss 2.4533 (2.2984) Prec@1 44.531 (47.397) Prec@5 69.531 (72.782)
Epoch: [86][2980/5005] Time 0.204 (0.210) Data 0.048 (0.047) Loss 2.4191 (2.2985) Prec@1 42.969 (47.394) Prec@5 71.484 (72.779)
Epoch: [86][2990/5005] Time 0.206 (0.210) Data 0.043 (0.047) Loss 2.2877 (2.2985) Prec@1 46.094 (47.393) Prec@5 74.219 (72.777)
Epoch: [86][3000/5005] Time 0.205 (0.210) Data 0.042 (0.047) Loss 2.3609 (2.2983) Prec@1 48.438 (47.395) Prec@5 71.484 (72.780)
Epoch: [86][3010/5005] Time 0.208 (0.210) Data 0.044 (0.047) Loss 2.1239 (2.2984) Prec@1 52.344 (47.395) Prec@5 75.781 (72.778)
Epoch: [86][3020/5005] Time 0.207 (0.210) Data 0.042 (0.047) Loss 2.2212 (2.2985) Prec@1 48.438 (47.393) Prec@5 73.828 (72.779)
Epoch: [86][3030/5005] Time 0.200 (0.210) Data 0.045 (0.047) Loss 2.2834 (2.2984) Prec@1 48.828 (47.394) Prec@5 71.875 (72.780)
Epoch: [86][3040/5005] Time 0.212 (0.210) Data 0.043 (0.047) Loss 2.1984 (2.2983) Prec@1 52.734 (47.404) Prec@5 75.000 (72.781)
Epoch: [86][3050/5005] Time 0.203 (0.210) Data 0.050 (0.047) Loss 2.2933 (2.2982) Prec@1 45.312 (47.404) Prec@5 75.000 (72.784)
Epoch: [86][3060/5005] Time 0.209 (0.210) Data 0.045 (0.047) Loss 2.1044 (2.2980) Prec@1 50.391 (47.404) Prec@5 76.953 (72.789)
Epoch: [86][3070/5005] Time 0.211 (0.210) Data 0.043 (0.047) Loss 2.1975 (2.2980) Prec@1 44.922 (47.401) Prec@5 73.828 (72.789)
Epoch: [86][3080/5005] Time 0.214 (0.210) Data 0.043 (0.047) Loss 2.2653 (2.2981) Prec@1 45.703 (47.401) Prec@5 73.438 (72.788)
Epoch: [86][3090/5005] Time 0.201 (0.210) Data 0.042 (0.047) Loss 2.5841 (2.2981) Prec@1 41.016 (47.402) Prec@5 68.359 (72.787)
Epoch: [86][3100/5005] Time 0.206 (0.210) Data 0.047 (0.047) Loss 2.2726 (2.2980) Prec@1 49.219 (47.409) Prec@5 73.438 (72.787)
Epoch: [86][3110/5005] Time 0.209 (0.210) Data 0.043 (0.047) Loss 2.0861 (2.2977) Prec@1 50.781 (47.414) Prec@5 77.344 (72.791)
Epoch: [86][3120/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.3381 (2.2977) Prec@1 47.266 (47.415) Prec@5 71.875 (72.789)
Epoch: [86][3130/5005] Time 0.196 (0.210) Data 0.050 (0.047) Loss 2.4017 (2.2976) Prec@1 45.312 (47.419) Prec@5 73.438 (72.791)
Epoch: [86][3140/5005] Time 0.218 (0.210) Data 0.058 (0.047) Loss 2.1301 (2.2974) Prec@1 51.562 (47.426) Prec@5 74.609 (72.793)
Epoch: [86][3150/5005] Time 0.206 (0.210) Data 0.058 (0.047) Loss 2.3183 (2.2973) Prec@1 47.266 (47.431) Prec@5 72.656 (72.797)
Epoch: [86][3160/5005] Time 0.207 (0.210) Data 0.043 (0.047) Loss 2.1070 (2.2973) Prec@1 50.781 (47.432) Prec@5 76.953 (72.797)
Epoch: [86][3170/5005] Time 0.210 (0.210) Data 0.045 (0.047) Loss 2.3080 (2.2973) Prec@1 47.656 (47.435) Prec@5 73.438 (72.799)
Epoch: [86][3180/5005] Time 0.205 (0.210) Data 0.043 (0.047) Loss 2.1638 (2.2972) Prec@1 52.344 (47.439) Prec@5 76.953 (72.797)
Epoch: [86][3190/5005] Time 0.209 (0.210) Data 0.044 (0.047) Loss 2.3265 (2.2972) Prec@1 45.312 (47.437) Prec@5 71.875 (72.801)
Epoch: [86][3200/5005] Time 0.201 (0.210) Data 0.063 (0.047) Loss 2.3715 (2.2971) Prec@1 48.828 (47.440) Prec@5 71.094 (72.803)
Epoch: [86][3210/5005] Time 0.207 (0.210) Data 0.049 (0.047) Loss 2.4297 (2.2971) Prec@1 45.312 (47.441) Prec@5 70.312 (72.803)
Epoch: [86][3220/5005] Time 0.206 (0.210) Data 0.044 (0.047) Loss 2.3494 (2.2971) Prec@1 46.484 (47.443) Prec@5 73.828 (72.805)
Epoch: [86][3230/5005] Time 0.213 (0.210) Data 0.042 (0.047) Loss 2.1983 (2.2969) Prec@1 50.000 (47.446) Prec@5 75.781 (72.808)
Epoch: [86][3240/5005] Time 0.194 (0.210) Data 0.060 (0.047) Loss 2.5418 (2.2972) Prec@1 41.016 (47.441) Prec@5 71.094 (72.803)
Epoch: [86][3250/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.1499 (2.2972) Prec@1 50.781 (47.441) Prec@5 72.266 (72.805)
Epoch: [86][3260/5005] Time 0.210 (0.210) Data 0.043 (0.047) Loss 2.3040 (2.2972) Prec@1 45.703 (47.441) Prec@5 73.047 (72.805)
Epoch: [86][3270/5005] Time 0.219 (0.210) Data 0.040 (0.047) Loss 2.3451 (2.2970) Prec@1 48.438 (47.444) Prec@5 71.875 (72.807)
Epoch: [86][3280/5005] Time 0.199 (0.210) Data 0.054 (0.047) Loss 2.1324 (2.2971) Prec@1 51.562 (47.438) Prec@5 74.609 (72.805)
Epoch: [86][3290/5005] Time 0.210 (0.210) Data 0.059 (0.047) Loss 2.3023 (2.2970) Prec@1 48.047 (47.440) Prec@5 70.312 (72.805)
Epoch: [86][3300/5005] Time 0.204 (0.210) Data 0.055 (0.047) Loss 2.2334 (2.2969) Prec@1 44.922 (47.440) Prec@5 75.391 (72.808)
Epoch: [86][3310/5005] Time 0.207 (0.210) Data 0.046 (0.047) Loss 2.1888 (2.2968) Prec@1 49.609 (47.442) Prec@5 71.875 (72.810)
Epoch: [86][3320/5005] Time 0.206 (0.210) Data 0.047 (0.047) Loss 2.2177 (2.2967) Prec@1 48.438 (47.443) Prec@5 73.438 (72.811)
Epoch: [86][3330/5005] Time 0.212 (0.210) Data 0.054 (0.047) Loss 2.3181 (2.2968) Prec@1 49.219 (47.442) Prec@5 69.922 (72.806)
Epoch: [86][3340/5005] Time 0.207 (0.210) Data 0.046 (0.047) Loss 2.3093 (2.2968) Prec@1 48.828 (47.439) Prec@5 73.828 (72.806)
Epoch: [86][3350/5005] Time 0.220 (0.210) Data 0.043 (0.047) Loss 2.4391 (2.2968) Prec@1 44.531 (47.440) Prec@5 71.094 (72.809)
Epoch: [86][3360/5005] Time 0.214 (0.210) Data 0.052 (0.047) Loss 2.1451 (2.2969) Prec@1 50.391 (47.439) Prec@5 74.219 (72.806)
Epoch: [86][3370/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.3277 (2.2969) Prec@1 42.188 (47.439) Prec@5 74.219 (72.805)
Epoch: [86][3380/5005] Time 0.208 (0.210) Data 0.047 (0.047) Loss 2.2020 (2.2968) Prec@1 50.000 (47.441) Prec@5 75.391 (72.807)
Epoch: [86][3390/5005] Time 0.210 (0.210) Data 0.045 (0.047) Loss 2.3922 (2.2970) Prec@1 42.969 (47.437) Prec@5 71.094 (72.806)
Epoch: [86][3400/5005] Time 0.207 (0.210) Data 0.050 (0.047) Loss 2.1146 (2.2970) Prec@1 50.391 (47.439) Prec@5 75.781 (72.805)
Epoch: [86][3410/5005] Time 0.209 (0.210) Data 0.042 (0.047) Loss 2.2282 (2.2968) Prec@1 48.828 (47.441) Prec@5 76.562 (72.807)
Epoch: [86][3420/5005] Time 0.203 (0.210) Data 0.051 (0.047) Loss 2.2075 (2.2968) Prec@1 45.703 (47.439) Prec@5 75.781 (72.809)
Epoch: [86][3430/5005] Time 0.212 (0.210) Data 0.042 (0.047) Loss 2.3140 (2.2968) Prec@1 44.531 (47.434) Prec@5 68.750 (72.809)
Epoch: [86][3440/5005] Time 0.201 (0.210) Data 0.044 (0.047) Loss 2.2794 (2.2966) Prec@1 47.266 (47.435) Prec@5 72.656 (72.810)
Epoch: [86][3450/5005] Time 0.204 (0.210) Data 0.039 (0.047) Loss 2.1563 (2.2966) Prec@1 48.438 (47.435) Prec@5 75.000 (72.809)
Epoch: [86][3460/5005] Time 0.205 (0.210) Data 0.043 (0.047) Loss 2.2074 (2.2966) Prec@1 48.438 (47.435) Prec@5 73.828 (72.807)
Epoch: [86][3470/5005] Time 0.214 (0.210) Data 0.053 (0.047) Loss 2.0717 (2.2964) Prec@1 54.297 (47.440) Prec@5 75.781 (72.807)
Epoch: [86][3480/5005] Time 0.206 (0.210) Data 0.053 (0.047) Loss 2.2704 (2.2962) Prec@1 48.438 (47.444) Prec@5 73.828 (72.811)
Epoch: [86][3490/5005] Time 0.214 (0.210) Data 0.044 (0.047) Loss 2.4781 (2.2962) Prec@1 42.969 (47.444) Prec@5 69.141 (72.812)
Epoch: [86][3500/5005] Time 0.210 (0.210) Data 0.049 (0.047) Loss 2.1484 (2.2962) Prec@1 49.219 (47.443) Prec@5 75.391 (72.812)
Epoch: [86][3510/5005] Time 0.212 (0.210) Data 0.049 (0.047) Loss 2.2644 (2.2961) Prec@1 44.531 (47.444) Prec@5 75.391 (72.814)
Epoch: [86][3520/5005] Time 0.210 (0.210) Data 0.047 (0.047) Loss 2.3994 (2.2961) Prec@1 44.922 (47.444) Prec@5 74.219 (72.819)
Epoch: [86][3530/5005] Time 0.212 (0.210) Data 0.044 (0.047) Loss 2.3621 (2.2959) Prec@1 44.531 (47.448) Prec@5 75.391 (72.822)
Epoch: [86][3540/5005] Time 0.214 (0.210) Data 0.042 (0.047) Loss 2.2048 (2.2958) Prec@1 48.438 (47.452) Prec@5 76.172 (72.824)
Epoch: [86][3550/5005] Time 0.213 (0.210) Data 0.045 (0.047) Loss 2.4117 (2.2957) Prec@1 44.141 (47.454) Prec@5 69.922 (72.826)
Epoch: [86][3560/5005] Time 0.210 (0.210) Data 0.050 (0.047) Loss 2.3906 (2.2956) Prec@1 42.969 (47.452) Prec@5 69.141 (72.826)
Epoch: [86][3570/5005] Time 0.206 (0.210) Data 0.046 (0.047) Loss 2.4748 (2.2957) Prec@1 50.000 (47.453) Prec@5 71.094 (72.826)
Epoch: [86][3580/5005] Time 0.207 (0.210) Data 0.051 (0.047) Loss 2.2383 (2.2957) Prec@1 47.266 (47.453) Prec@5 73.047 (72.825)
Epoch: [86][3590/5005] Time 0.205 (0.210) Data 0.042 (0.047) Loss 2.3423 (2.2954) Prec@1 46.094 (47.456) Prec@5 69.531 (72.827)
Epoch: [86][3600/5005] Time 0.206 (0.210) Data 0.043 (0.047) Loss 2.3207 (2.2952) Prec@1 46.094 (47.460) Prec@5 73.047 (72.828)
Epoch: [86][3610/5005] Time 0.203 (0.210) Data 0.052 (0.047) Loss 2.2069 (2.2951) Prec@1 46.484 (47.458) Prec@5 76.562 (72.830)
Epoch: [86][3620/5005] Time 0.204 (0.210) Data 0.056 (0.047) Loss 2.5172 (2.2949) Prec@1 43.750 (47.463) Prec@5 68.359 (72.836)
Epoch: [86][3630/5005] Time 0.218 (0.209) Data 0.046 (0.047) Loss 2.4516 (2.2948) Prec@1 44.922 (47.463) Prec@5 71.484 (72.837)
Epoch: [86][3640/5005] Time 0.208 (0.209) Data 0.040 (0.047) Loss 2.2655 (2.2948) Prec@1 43.750 (47.461) Prec@5 74.219 (72.833)
Epoch: [86][3650/5005] Time 0.211 (0.209) Data 0.042 (0.047) Loss 2.2720 (2.2948) Prec@1 46.875 (47.459) Prec@5 74.219 (72.834)
Epoch: [86][3660/5005] Time 0.194 (0.209) Data 0.052 (0.047) Loss 2.3048 (2.2946) Prec@1 46.484 (47.463) Prec@5 70.312 (72.837)
Epoch: [86][3670/5005] Time 0.205 (0.209) Data 0.045 (0.047) Loss 2.4899 (2.2948) Prec@1 46.094 (47.461) Prec@5 68.750 (72.835)
Epoch: [86][3680/5005] Time 0.211 (0.209) Data 0.053 (0.047) Loss 2.1249 (2.2948) Prec@1 47.656 (47.459) Prec@5 76.172 (72.833)
Epoch: [86][3690/5005] Time 0.202 (0.209) Data 0.039 (0.047) Loss 2.0466 (2.2948) Prec@1 53.125 (47.463) Prec@5 77.344 (72.835)
Epoch: [86][3700/5005] Time 0.207 (0.209) Data 0.046 (0.047) Loss 2.2089 (2.2948) Prec@1 48.828 (47.463) Prec@5 75.000 (72.834)
Epoch: [86][3710/5005] Time 0.200 (0.209) Data 0.040 (0.047) Loss 2.2443 (2.2948) Prec@1 47.656 (47.465) Prec@5 76.562 (72.838)
Epoch: [86][3720/5005] Time 0.204 (0.209) Data 0.042 (0.047) Loss 2.2982 (2.2947) Prec@1 49.609 (47.467) Prec@5 70.703 (72.838)
Epoch: [86][3730/5005] Time 0.208 (0.209) Data 0.043 (0.047) Loss 2.1021 (2.2946) Prec@1 49.219 (47.471) Prec@5 77.344 (72.842)
Epoch: [86][3740/5005] Time 0.211 (0.209) Data 0.042 (0.047) Loss 2.2256 (2.2942) Prec@1 51.953 (47.477) Prec@5 72.656 (72.845)
Epoch: [86][3750/5005] Time 0.206 (0.209) Data 0.041 (0.047) Loss 2.1683 (2.2944) Prec@1 50.000 (47.471) Prec@5 74.219 (72.844)
Epoch: [86][3760/5005] Time 0.214 (0.209) Data 0.040 (0.047) Loss 2.2800 (2.2944) Prec@1 48.047 (47.471) Prec@5 71.094 (72.844)
Epoch: [86][3770/5005] Time 0.200 (0.209) Data 0.049 (0.047) Loss 2.3533 (2.2944) Prec@1 44.922 (47.471) Prec@5 69.922 (72.845)
Epoch: [86][3780/5005] Time 0.200 (0.209) Data 0.063 (0.047) Loss 2.2687 (2.2943) Prec@1 43.750 (47.474) Prec@5 71.094 (72.847)
Epoch: [86][3790/5005] Time 0.208 (0.209) Data 0.048 (0.047) Loss 2.2402 (2.2943) Prec@1 46.094 (47.474) Prec@5 74.609 (72.848)
Epoch: [86][3800/5005] Time 0.213 (0.209) Data 0.043 (0.047) Loss 2.2928 (2.2944) Prec@1 45.703 (47.473) Prec@5 70.312 (72.846)
Epoch: [86][3810/5005] Time 0.203 (0.209) Data 0.045 (0.047) Loss 2.1270 (2.2944) Prec@1 52.734 (47.472) Prec@5 73.828 (72.845)
Epoch: [86][3820/5005] Time 0.198 (0.209) Data 0.042 (0.047) Loss 2.2319 (2.2943) Prec@1 50.781 (47.477) Prec@5 75.000 (72.849)
Epoch: [86][3830/5005] Time 0.203 (0.209) Data 0.044 (0.047) Loss 2.3119 (2.2941) Prec@1 43.750 (47.478) Prec@5 73.828 (72.853)
Epoch: [86][3840/5005] Time 0.203 (0.209) Data 0.043 (0.047) Loss 2.5961 (2.2942) Prec@1 41.406 (47.478) Prec@5 66.016 (72.851)
Epoch: [86][3850/5005] Time 0.209 (0.209) Data 0.044 (0.047) Loss 2.3456 (2.2941) Prec@1 48.047 (47.480) Prec@5 71.875 (72.854)
Epoch: [86][3860/5005] Time 0.206 (0.209) Data 0.048 (0.047) Loss 2.1770 (2.2943) Prec@1 49.609 (47.479) Prec@5 73.047 (72.851)
Epoch: [86][3870/5005] Time 0.197 (0.209) Data 0.041 (0.047) Loss 2.3326 (2.2943) Prec@1 46.094 (47.477) Prec@5 72.266 (72.848)
Epoch: [86][3880/5005] Time 0.211 (0.209) Data 0.043 (0.047) Loss 2.1153 (2.2943) Prec@1 51.562 (47.478) Prec@5 73.438 (72.848)
Epoch: [86][3890/5005] Time 0.202 (0.209) Data 0.039 (0.047) Loss 2.4733 (2.2943) Prec@1 47.656 (47.480) Prec@5 70.703 (72.848)
Epoch: [86][3900/5005] Time 0.200 (0.209) Data 0.041 (0.047) Loss 2.5742 (2.2944) Prec@1 42.188 (47.477) Prec@5 69.922 (72.848)
Epoch: [86][3910/5005] Time 0.208 (0.209) Data 0.044 (0.047) Loss 2.3022 (2.2943) Prec@1 47.266 (47.480) Prec@5 75.000 (72.849)
Epoch: [86][3920/5005] Time 0.207 (0.209) Data 0.049 (0.047) Loss 2.3434 (2.2944) Prec@1 46.094 (47.480) Prec@5 73.438 (72.850)
Epoch: [86][3930/5005] Time 0.206 (0.209) Data 0.050 (0.047) Loss 2.2445 (2.2941) Prec@1 48.047 (47.488) Prec@5 71.484 (72.855)
Epoch: [86][3940/5005] Time 0.200 (0.209) Data 0.055 (0.047) Loss 2.1514 (2.2941) Prec@1 49.219 (47.483) Prec@5 71.094 (72.855)
Epoch: [86][3950/5005] Time 0.197 (0.209) Data 0.045 (0.047) Loss 2.1618 (2.2939) Prec@1 50.391 (47.487) Prec@5 75.000 (72.857)
Epoch: [86][3960/5005] Time 0.210 (0.209) Data 0.045 (0.047) Loss 2.3321 (2.2938) Prec@1 43.750 (47.488) Prec@5 71.875 (72.858)
Epoch: [86][3970/5005] Time 0.219 (0.209) Data 0.045 (0.047) Loss 2.3198 (2.2939) Prec@1 50.781 (47.489) Prec@5 70.703 (72.856)
Epoch: [86][3980/5005] Time 0.216 (0.209) Data 0.052 (0.047) Loss 2.1948 (2.2938) Prec@1 49.219 (47.491) Prec@5 72.266 (72.857)
Epoch: [86][3990/5005] Time 0.203 (0.209) Data 0.045 (0.047) Loss 2.1802 (2.2939) Prec@1 51.172 (47.488) Prec@5 73.438 (72.858)
Epoch: [86][4000/5005] Time 0.208 (0.209) Data 0.046 (0.047) Loss 2.2553 (2.2938) Prec@1 49.219 (47.487) Prec@5 73.438 (72.858)
Epoch: [86][4010/5005] Time 0.219 (0.209) Data 0.048 (0.047) Loss 2.3637 (2.2937) Prec@1 45.703 (47.490) Prec@5 71.094 (72.861)
Epoch: [86][4020/5005] Time 0.209 (0.209) Data 0.045 (0.047) Loss 2.4292 (2.2937) Prec@1 44.141 (47.490) Prec@5 71.875 (72.861)
Epoch: [86][4030/5005] Time 0.205 (0.209) Data 0.049 (0.047) Loss 2.3543 (2.2940) Prec@1 46.484 (47.485) Prec@5 69.922 (72.854)
Epoch: [86][4040/5005] Time 0.209 (0.209) Data 0.041 (0.047) Loss 2.2868 (2.2941) Prec@1 44.922 (47.483) Prec@5 69.531 (72.852)
Epoch: [86][4050/5005] Time 0.206 (0.209) Data 0.041 (0.047) Loss 2.5543 (2.2941) Prec@1 40.234 (47.483) Prec@5 69.141 (72.850)
Epoch: [86][4060/5005] Time 0.217 (0.209) Data 0.043 (0.047) Loss 2.2366 (2.2941) Prec@1 49.609 (47.482) Prec@5 67.578 (72.849)
Epoch: [86][4070/5005] Time 0.210 (0.209) Data 0.042 (0.047) Loss 2.3425 (2.2942) Prec@1 46.094 (47.480) Prec@5 72.266 (72.849)
Epoch: [86][4080/5005] Time 0.210 (0.209) Data 0.042 (0.047) Loss 2.1954 (2.2941) Prec@1 49.219 (47.482) Prec@5 73.828 (72.849)
Epoch: [86][4090/5005] Time 0.204 (0.209) Data 0.044 (0.047) Loss 2.4018 (2.2941) Prec@1 43.750 (47.482) Prec@5 71.094 (72.847)
Epoch: [86][4100/5005] Time 0.205 (0.209) Data 0.046 (0.047) Loss 2.2972 (2.2940) Prec@1 46.875 (47.483) Prec@5 72.266 (72.848)
Epoch: [86][4110/5005] Time 0.206 (0.209) Data 0.060 (0.047) Loss 2.5340 (2.2940) Prec@1 43.359 (47.480) Prec@5 69.922 (72.850)
Epoch: [86][4120/5005] Time 0.200 (0.209) Data 0.051 (0.047) Loss 2.2791 (2.2939) Prec@1 45.312 (47.481) Prec@5 76.562 (72.854)
Epoch: [86][4130/5005] Time 0.203 (0.209) Data 0.047 (0.047) Loss 2.3984 (2.2939) Prec@1 44.531 (47.482) Prec@5 71.094 (72.855)
Epoch: [86][4140/5005] Time 0.199 (0.209) Data 0.046 (0.047) Loss 2.3794 (2.2938) Prec@1 44.141 (47.481) Prec@5 71.484 (72.854)
Epoch: [86][4150/5005] Time 0.195 (0.209) Data 0.046 (0.047) Loss 2.5673 (2.2940) Prec@1 41.016 (47.479) Prec@5 68.359 (72.852)
Epoch: [86][4160/5005] Time 0.209 (0.209) Data 0.043 (0.047) Loss 2.2800 (2.2942) Prec@1 46.484 (47.476) Prec@5 73.828 (72.848)
Epoch: [86][4170/5005] Time 0.209 (0.209) Data 0.044 (0.047) Loss 2.2862 (2.2941) Prec@1 45.312 (47.476) Prec@5 70.312 (72.846)
Epoch: [86][4180/5005] Time 0.202 (0.209) Data 0.052 (0.047) Loss 2.1216 (2.2940) Prec@1 51.562 (47.476) Prec@5 75.781 (72.849)
Epoch: [86][4190/5005] Time 0.202 (0.209) Data 0.043 (0.047) Loss 2.0867 (2.2940) Prec@1 50.000 (47.476) Prec@5 76.953 (72.848)
Epoch: [86][4200/5005] Time 0.196 (0.209) Data 0.060 (0.047) Loss 2.0567 (2.2940) Prec@1 50.781 (47.477) Prec@5 76.562 (72.849)
Epoch: [86][4210/5005] Time 0.211 (0.209) Data 0.042 (0.047) Loss 2.1400 (2.2940) Prec@1 49.219 (47.476) Prec@5 73.438 (72.848)
Epoch: [86][4220/5005] Time 0.206 (0.209) Data 0.059 (0.047) Loss 2.5176 (2.2942) Prec@1 43.750 (47.474) Prec@5 70.312 (72.844)
Epoch: [86][4230/5005] Time 0.197 (0.209) Data 0.041 (0.047) Loss 2.3486 (2.2943) Prec@1 46.094 (47.474) Prec@5 73.438 (72.843)
Epoch: [86][4240/5005] Time 0.207 (0.209) Data 0.052 (0.047) Loss 2.1757 (2.2944) Prec@1 51.172 (47.473) Prec@5 76.562 (72.842)
Epoch: [86][4250/5005] Time 0.205 (0.209) Data 0.052 (0.047) Loss 2.0731 (2.2943) Prec@1 52.344 (47.477) Prec@5 73.047 (72.842)
Epoch: [86][4260/5005] Time 0.207 (0.209) Data 0.047 (0.047) Loss 2.3605 (2.2943) Prec@1 45.312 (47.475) Prec@5 72.266 (72.839)
Epoch: [86][4270/5005] Time 0.207 (0.209) Data 0.047 (0.047) Loss 2.5430 (2.2944) Prec@1 42.188 (47.472) Prec@5 70.703 (72.837)
Epoch: [86][4280/5005] Time 0.200 (0.209) Data 0.047 (0.047) Loss 2.4242 (2.2945) Prec@1 46.094 (47.471) Prec@5 71.875 (72.836)
Epoch: [86][4290/5005] Time 0.215 (0.209) Data 0.047 (0.047) Loss 2.4449 (2.2945) Prec@1 46.875 (47.471) Prec@5 69.531 (72.835)
Epoch: [86][4300/5005] Time 0.206 (0.209) Data 0.046 (0.047) Loss 2.1679 (2.2943) Prec@1 51.562 (47.474) Prec@5 77.344 (72.839)
Epoch: [86][4310/5005] Time 0.208 (0.209) Data 0.043 (0.047) Loss 2.2858 (2.2943) Prec@1 46.875 (47.475) Prec@5 74.609 (72.840)
Epoch: [86][4320/5005] Time 0.207 (0.209) Data 0.044 (0.047) Loss 2.1871 (2.2943) Prec@1 50.781 (47.479) Prec@5 73.828 (72.839)
Epoch: [86][4330/5005] Time 0.214 (0.209) Data 0.044 (0.047) Loss 2.2336 (2.2943) Prec@1 44.531 (47.478) Prec@5 75.391 (72.839)
Epoch: [86][4340/5005] Time 0.202 (0.209) Data 0.048 (0.047) Loss 2.3489 (2.2944) Prec@1 47.266 (47.476) Prec@5 70.312 (72.839)
Epoch: [86][4350/5005] Time 0.212 (0.209) Data 0.044 (0.047) Loss 2.2941 (2.2943) Prec@1 50.000 (47.480) Prec@5 72.266 (72.841)
Epoch: [86][4360/5005] Time 0.208 (0.209) Data 0.044 (0.047) Loss 2.0812 (2.2941) Prec@1 48.438 (47.482) Prec@5 78.906 (72.845)
Epoch: [86][4370/5005] Time 0.206 (0.209) Data 0.045 (0.047) Loss 2.2122 (2.2941) Prec@1 49.219 (47.483) Prec@5 73.438 (72.845)
Epoch: [86][4380/5005] Time 0.189 (0.209) Data 0.043 (0.047) Loss 2.4756 (2.2941) Prec@1 40.625 (47.481) Prec@5 68.750 (72.846)
Epoch: [86][4390/5005] Time 0.212 (0.209) Data 0.048 (0.047) Loss 2.3335 (2.2940) Prec@1 47.656 (47.484) Prec@5 71.094 (72.848)
Epoch: [86][4400/5005] Time 0.206 (0.209) Data 0.047 (0.047) Loss 2.1834 (2.2940) Prec@1 48.047 (47.483) Prec@5 75.000 (72.850)
Epoch: [86][4410/5005] Time 0.202 (0.209) Data 0.042 (0.047) Loss 2.2579 (2.2939) Prec@1 48.828 (47.487) Prec@5 71.875 (72.850)
Epoch: [86][4420/5005] Time 0.213 (0.209) Data 0.044 (0.047) Loss 2.0297 (2.2937) Prec@1 54.688 (47.488) Prec@5 76.953 (72.853)
Epoch: [86][4430/5005] Time 0.209 (0.209) Data 0.043 (0.047) Loss 2.3149 (2.2935) Prec@1 44.922 (47.493) Prec@5 67.969 (72.854)
Epoch: [86][4440/5005] Time 0.206 (0.209) Data 0.045 (0.047) Loss 2.3267 (2.2935) Prec@1 45.312 (47.496) Prec@5 71.875 (72.854)
Epoch: [86][4450/5005] Time 0.213 (0.209) Data 0.044 (0.047) Loss 2.1653 (2.2934) Prec@1 49.609 (47.496) Prec@5 76.953 (72.855)
Epoch: [86][4460/5005] Time 0.206 (0.209) Data 0.040 (0.047) Loss 2.5571 (2.2935) Prec@1 42.969 (47.497) Prec@5 67.578 (72.854)
Epoch: [86][4470/5005] Time 0.210 (0.209) Data 0.045 (0.047) Loss 2.2117 (2.2936) Prec@1 48.047 (47.495) Prec@5 71.875 (72.853)
Epoch: [86][4480/5005] Time 0.203 (0.209) Data 0.048 (0.047) Loss 2.1891 (2.2937) Prec@1 45.703 (47.493) Prec@5 75.781 (72.850)
Epoch: [86][4490/5005] Time 0.197 (0.209) Data 0.048 (0.047) Loss 2.3170 (2.2937) Prec@1 46.094 (47.493) Prec@5 73.828 (72.849)
Epoch: [86][4500/5005] Time 0.210 (0.209) Data 0.053 (0.047) Loss 2.2291 (2.2937) Prec@1 48.828 (47.496) Prec@5 74.219 (72.849)
Epoch: [86][4510/5005] Time 0.208 (0.209) Data 0.060 (0.047) Loss 2.2145 (2.2936) Prec@1 47.656 (47.495) Prec@5 73.438 (72.849)
Epoch: [86][4520/5005] Time 0.204 (0.209) Data 0.052 (0.047) Loss 2.2818 (2.2935) Prec@1 44.531 (47.496) Prec@5 73.828 (72.853)
Epoch: [86][4530/5005] Time 0.206 (0.209) Data 0.047 (0.047) Loss 2.2378 (2.2934) Prec@1 48.047 (47.499) Prec@5 76.562 (72.856)
Epoch: [86][4540/5005] Time 0.202 (0.209) Data 0.041 (0.047) Loss 2.4190 (2.2936) Prec@1 48.047 (47.495) Prec@5 70.312 (72.854)
Epoch: [86][4550/5005] Time 0.213 (0.209) Data 0.042 (0.047) Loss 2.2876 (2.2935) Prec@1 48.828 (47.495) Prec@5 71.875 (72.855)
Epoch: [86][4560/5005] Time 0.202 (0.209) Data 0.042 (0.047) Loss 2.2578 (2.2936) Prec@1 44.531 (47.495) Prec@5 73.828 (72.855)
Epoch: [86][4570/5005] Time 0.215 (0.209) Data 0.045 (0.047) Loss 2.2535 (2.2934) Prec@1 50.781 (47.497) Prec@5 70.312 (72.856)
Epoch: [86][4580/5005] Time 0.204 (0.209) Data 0.041 (0.047) Loss 2.3904 (2.2934) Prec@1 44.922 (47.500) Prec@5 73.828 (72.857)
Epoch: [86][4590/5005] Time 0.212 (0.209) Data 0.045 (0.047) Loss 2.1645 (2.2934) Prec@1 50.391 (47.499) Prec@5 78.125 (72.858)
Epoch: [86][4600/5005] Time 0.210 (0.209) Data 0.042 (0.047) Loss 2.0693 (2.2934) Prec@1 51.172 (47.500) Prec@5 79.688 (72.858)
Epoch: [86][4610/5005] Time 0.208 (0.209) Data 0.040 (0.047) Loss 2.0171 (2.2933) Prec@1 52.734 (47.502) Prec@5 78.906 (72.860)
Epoch: [86][4620/5005] Time 0.208 (0.209) Data 0.044 (0.047) Loss 2.1607 (2.2933) Prec@1 51.172 (47.505) Prec@5 73.047 (72.860)
Epoch: [86][4630/5005] Time 0.215 (0.209) Data 0.044 (0.047) Loss 2.1176 (2.2931) Prec@1 53.906 (47.508) Prec@5 76.953 (72.862)
Epoch: [86][4640/5005] Time 0.205 (0.209) Data 0.050 (0.047) Loss 2.2818 (2.2931) Prec@1 51.172 (47.507) Prec@5 71.484 (72.861)
Epoch: [86][4650/5005] Time 0.202 (0.209) Data 0.047 (0.047) Loss 2.2493 (2.2931) Prec@1 46.484 (47.508) Prec@5 73.438 (72.861)
Epoch: [86][4660/5005] Time 0.203 (0.209) Data 0.048 (0.047) Loss 2.5564 (2.2931) Prec@1 41.797 (47.508) Prec@5 69.531 (72.863)
Epoch: [86][4670/5005] Time 0.204 (0.209) Data 0.048 (0.047) Loss 2.1009 (2.2929) Prec@1 50.391 (47.510) Prec@5 75.000 (72.866)
Epoch: [86][4680/5005] Time 0.202 (0.209) Data 0.050 (0.047) Loss 2.1137 (2.2928) Prec@1 46.484 (47.509) Prec@5 77.734 (72.867)
Epoch: [86][4690/5005] Time 0.205 (0.209) Data 0.054 (0.047) Loss 2.2902 (2.2928) Prec@1 48.047 (47.508) Prec@5 74.609 (72.867)
Epoch: [86][4700/5005] Time 0.209 (0.209) Data 0.049 (0.047) Loss 2.2623 (2.2927) Prec@1 48.438 (47.511) Prec@5 75.000 (72.868)
Epoch: [86][4710/5005] Time 0.215 (0.209) Data 0.049 (0.047) Loss 2.2627 (2.2926) Prec@1 47.266 (47.514) Prec@5 72.656 (72.870)
Epoch: [86][4720/5005] Time 0.200 (0.209) Data 0.058 (0.047) Loss 2.2334 (2.2925) Prec@1 52.344 (47.513) Prec@5 74.219 (72.870)
Epoch: [86][4730/5005] Time 0.207 (0.209) Data 0.046 (0.047) Loss 2.3345 (2.2927) Prec@1 46.875 (47.510) Prec@5 72.266 (72.868)
Epoch: [86][4740/5005] Time 0.211 (0.209) Data 0.057 (0.047) Loss 2.2249 (2.2926) Prec@1 48.438 (47.514) Prec@5 75.781 (72.870)
Epoch: [86][4750/5005] Time 0.202 (0.209) Data 0.052 (0.047) Loss 2.3081 (2.2925) Prec@1 47.656 (47.515) Prec@5 71.875 (72.872)
Epoch: [86][4760/5005] Time 0.209 (0.209) Data 0.046 (0.047) Loss 2.5631 (2.2924) Prec@1 43.750 (47.518) Prec@5 68.750 (72.873)
Epoch: [86][4770/5005] Time 0.208 (0.209) Data 0.043 (0.047) Loss 2.1416 (2.2923) Prec@1 53.516 (47.519) Prec@5 76.562 (72.876)
Epoch: [86][4780/5005] Time 0.200 (0.209) Data 0.051 (0.047) Loss 2.3047 (2.2923) Prec@1 44.922 (47.521) Prec@5 73.047 (72.878)
Epoch: [86][4790/5005] Time 0.209 (0.209) Data 0.045 (0.047) Loss 2.4594 (2.2923) Prec@1 44.141 (47.522) Prec@5 69.141 (72.879)
Epoch: [86][4800/5005] Time 0.205 (0.209) Data 0.044 (0.047) Loss 2.4901 (2.2923) Prec@1 42.969 (47.521) Prec@5 69.922 (72.881)
Epoch: [86][4810/5005] Time 0.207 (0.209) Data 0.044 (0.047) Loss 2.4835 (2.2922) Prec@1 43.750 (47.521) Prec@5 68.359 (72.881)
Epoch: [86][4820/5005] Time 0.213 (0.209) Data 0.044 (0.047) Loss 2.5411 (2.2921) Prec@1 43.750 (47.524) Prec@5 69.141 (72.882)
Epoch: [86][4830/5005] Time 0.210 (0.209) Data 0.045 (0.047) Loss 2.2414 (2.2919) Prec@1 46.875 (47.527) Prec@5 73.047 (72.883)
Epoch: [86][4840/5005] Time 0.211 (0.209) Data 0.046 (0.047) Loss 2.0383 (2.2920) Prec@1 50.391 (47.527) Prec@5 75.781 (72.882)
Epoch: [86][4850/5005] Time 0.209 (0.209) Data 0.048 (0.047) Loss 2.3733 (2.2921) Prec@1 43.750 (47.525) Prec@5 73.438 (72.881)
Epoch: [86][4860/5005] Time 0.213 (0.209) Data 0.045 (0.047) Loss 2.2370 (2.2921) Prec@1 52.344 (47.528) Prec@5 75.391 (72.880)
Epoch: [86][4870/5005] Time 0.212 (0.209) Data 0.047 (0.047) Loss 2.1648 (2.2921) Prec@1 49.609 (47.530) Prec@5 73.438 (72.878)
Epoch: [86][4880/5005] Time 0.208 (0.209) Data 0.044 (0.047) Loss 2.2609 (2.2920) Prec@1 49.219 (47.531) Prec@5 71.094 (72.877)
Epoch: [86][4890/5005] Time 0.194 (0.209) Data 0.046 (0.047) Loss 2.3534 (2.2919) Prec@1 46.484 (47.531) Prec@5 71.875 (72.878)
Epoch: [86][4900/5005] Time 0.202 (0.209) Data 0.038 (0.047) Loss 2.2321 (2.2918) Prec@1 49.609 (47.535) Prec@5 72.656 (72.879)
Epoch: [86][4910/5005] Time 0.209 (0.209) Data 0.045 (0.047) Loss 2.4156 (2.2917) Prec@1 44.922 (47.535) Prec@5 71.094 (72.880)
Epoch: [86][4920/5005] Time 0.209 (0.209) Data 0.045 (0.047) Loss 2.1004 (2.2916) Prec@1 46.875 (47.536) Prec@5 73.438 (72.880)
Epoch: [86][4930/5005] Time 0.212 (0.209) Data 0.045 (0.047) Loss 2.5294 (2.2915) Prec@1 43.750 (47.538) Prec@5 66.797 (72.881)
Epoch: [86][4940/5005] Time 0.207 (0.209) Data 0.044 (0.047) Loss 2.3477 (2.2915) Prec@1 47.656 (47.538) Prec@5 68.750 (72.880)
Epoch: [86][4950/5005] Time 0.210 (0.209) Data 0.046 (0.047) Loss 2.0036 (2.2916) Prec@1 53.516 (47.535) Prec@5 76.953 (72.878)
Epoch: [86][4960/5005] Time 0.198 (0.209) Data 0.048 (0.047) Loss 2.3019 (2.2916) Prec@1 47.266 (47.536) Prec@5 74.609 (72.880)
Epoch: [86][4970/5005] Time 0.209 (0.209) Data 0.044 (0.047) Loss 2.5285 (2.2915) Prec@1 43.750 (47.536) Prec@5 69.922 (72.880)
Epoch: [86][4980/5005] Time 0.201 (0.209) Data 0.039 (0.047) Loss 2.2989 (2.2914) Prec@1 46.875 (47.535) Prec@5 72.656 (72.884)
Epoch: [86][4990/5005] Time 0.203 (0.209) Data 0.023 (0.047) Loss 2.2788 (2.2913) Prec@1 42.578 (47.538) Prec@5 71.875 (72.885)
Epoch: [86][5000/5005] Time 0.207 (0.209) Data 0.021 (0.047) Loss 2.4994 (2.2913) Prec@1 43.750 (47.538) Prec@5 68.750 (72.884)
Test: [0/196] Time 1.833 (1.833) Loss 2.3910 (2.3910) Prec@1 50.391 (50.391) Prec@5 70.703 (70.703)
Test: [10/196] Time 0.042 (0.284) Loss 2.4387 (2.5322) Prec@1 46.875 (44.034) Prec@5 70.312 (69.034)
Test: [20/196] Time 0.169 (0.232) Loss 2.4041 (2.5296) Prec@1 46.484 (43.657) Prec@5 72.266 (69.438)
Test: [30/196] Time 0.188 (0.203) Loss 2.4543 (2.5343) Prec@1 45.703 (43.725) Prec@5 68.750 (69.292)
Test: [40/196] Time 0.049 (0.216) Loss 2.3017 (2.5317) Prec@1 50.000 (44.141) Prec@5 74.219 (69.436)
Test: [50/196] Time 0.042 (0.209) Loss 2.6056 (2.5367) Prec@1 45.703 (44.210) Prec@5 69.922 (69.470)
Test: [60/196] Time 0.191 (0.195) Loss 2.4351 (2.5208) Prec@1 47.266 (44.493) Prec@5 70.703 (69.711)
Test: [70/196] Time 0.107 (0.191) Loss 2.4876 (2.5195) Prec@1 43.359 (44.339) Prec@5 68.359 (69.614)
Test: [80/196] Time 0.249 (0.191) Loss 2.3862 (2.5270) Prec@1 50.781 (44.348) Prec@5 74.219 (69.541)
Test: [90/196] Time 0.044 (0.188) Loss 2.6026 (2.5265) Prec@1 46.094 (44.390) Prec@5 68.359 (69.531)
Test: [100/196] Time 0.197 (0.185) Loss 2.5868 (2.5260) Prec@1 45.312 (44.520) Prec@5 67.188 (69.535)
Test: [110/196] Time 0.264 (0.184) Loss 2.6981 (2.5286) Prec@1 41.406 (44.461) Prec@5 66.406 (69.545)
Test: [120/196] Time 0.052 (0.188) Loss 2.3834 (2.5265) Prec@1 44.531 (44.557) Prec@5 73.828 (69.538)
Test: [130/196] Time 0.236 (0.187) Loss 2.2047 (2.5239) Prec@1 48.438 (44.627) Prec@5 76.562 (69.594)
Test: [140/196] Time 0.202 (0.185) Loss 2.3552 (2.5251) Prec@1 48.438 (44.623) Prec@5 69.922 (69.553)
Test: [150/196] Time 0.422 (0.185) Loss 2.1950 (2.5241) Prec@1 44.922 (44.632) Prec@5 77.344 (69.593)
Test: [160/196] Time 0.044 (0.182) Loss 2.4410 (2.5226) Prec@1 48.438 (44.633) Prec@5 69.141 (69.621)
Test: [170/196] Time 0.353 (0.183) Loss 2.4203 (2.5240) Prec@1 44.531 (44.648) Prec@5 72.266 (69.620)
Test: [180/196] Time 0.043 (0.181) Loss 2.7590 (2.5282) Prec@1 39.453 (44.577) Prec@5 65.625 (69.551)
Test: [190/196] Time 0.063 (0.183) Loss 2.7150 (2.5312) Prec@1 43.359 (44.546) Prec@5 66.406 (69.437)
* Prec@1 44.536 Prec@5 69.450
Learning rate: 1e-06
Epoch: [87][0/5005] Time 1.135 (1.135) Data 1.041 (1.041) Loss 2.2314 (2.2314) Prec@1 49.219 (49.219) Prec@5 73.047 (73.047)
Epoch: [87][10/5005] Time 0.201 (0.288) Data 0.058 (0.139) Loss 2.1878 (2.3226) Prec@1 54.297 (47.372) Prec@5 73.828 (72.798)
Epoch: [87][20/5005] Time 0.202 (0.249) Data 0.041 (0.093) Loss 2.4413 (2.3329) Prec@1 44.531 (46.503) Prec@5 69.531 (72.563)
Epoch: [87][30/5005] Time 0.200 (0.234) Data 0.042 (0.077) Loss 2.1458 (2.2948) Prec@1 49.609 (47.303) Prec@5 73.438 (73.072)
Epoch: [87][40/5005] Time 0.202 (0.227) Data 0.058 (0.070) Loss 2.1986 (2.2993) Prec@1 47.656 (47.075) Prec@5 75.391 (73.161)
Epoch: [87][50/5005] Time 0.205 (0.223) Data 0.043 (0.065) Loss 2.0824 (2.2980) Prec@1 49.609 (47.204) Prec@5 80.078 (73.131)
Epoch: [87][60/5005] Time 0.205 (0.219) Data 0.040 (0.062) Loss 2.1996 (2.3004) Prec@1 51.172 (47.234) Prec@5 77.344 (73.079)
Epoch: [87][70/5005] Time 0.204 (0.217) Data 0.041 (0.060) Loss 2.1761 (2.3099) Prec@1 48.828 (46.881) Prec@5 74.219 (72.948)
Epoch: [87][80/5005] Time 0.208 (0.216) Data 0.041 (0.058) Loss 2.1537 (2.3054) Prec@1 48.828 (46.894) Prec@5 75.781 (72.979)
Epoch: [87][90/5005] Time 0.192 (0.214) Data 0.046 (0.057) Loss 2.3975 (2.3073) Prec@1 49.609 (47.060) Prec@5 72.266 (72.952)
Epoch: [87][100/5005] Time 0.204 (0.213) Data 0.049 (0.056) Loss 2.1637 (2.3093) Prec@1 50.000 (47.099) Prec@5 74.609 (72.904)
Epoch: [87][110/5005] Time 0.195 (0.212) Data 0.045 (0.055) Loss 2.2170 (2.3106) Prec@1 50.781 (47.142) Prec@5 73.828 (72.839)
Epoch: [87][120/5005] Time 0.195 (0.211) Data 0.050 (0.055) Loss 2.4844 (2.3152) Prec@1 44.141 (47.133) Prec@5 71.484 (72.795)
Epoch: [87][130/5005] Time 0.194 (0.210) Data 0.044 (0.054) Loss 2.4467 (2.3137) Prec@1 44.531 (47.170) Prec@5 70.312 (72.844)
Epoch: [87][140/5005] Time 0.196 (0.210) Data 0.050 (0.054) Loss 2.3893 (2.3109) Prec@1 47.656 (47.152) Prec@5 70.703 (72.867)
Epoch: [87][150/5005] Time 0.210 (0.209) Data 0.042 (0.053) Loss 2.4790 (2.3112) Prec@1 44.922 (47.134) Prec@5 69.141 (72.861)
Epoch: [87][160/5005] Time 0.215 (0.209) Data 0.046 (0.053) Loss 2.2621 (2.3128) Prec@1 48.438 (47.113) Prec@5 70.312 (72.838)
Epoch: [87][170/5005] Time 0.224 (0.210) Data 0.054 (0.053) Loss 2.3081 (2.3138) Prec@1 48.438 (47.156) Prec@5 71.484 (72.754)
Epoch: [87][180/5005] Time 0.212 (0.210) Data 0.053 (0.053) Loss 2.4401 (2.3152) Prec@1 43.750 (47.132) Prec@5 69.141 (72.749)
Epoch: [87][190/5005] Time 0.204 (0.210) Data 0.066 (0.053) Loss 2.5079 (2.3198) Prec@1 43.359 (47.043) Prec@5 68.359 (72.660)
Epoch: [87][200/5005] Time 0.216 (0.210) Data 0.045 (0.053) Loss 2.5805 (2.3215) Prec@1 43.359 (47.027) Prec@5 69.531 (72.619)
Epoch: [87][210/5005] Time 0.215 (0.211) Data 0.048 (0.053) Loss 2.0063 (2.3192) Prec@1 55.469 (47.068) Prec@5 77.344 (72.643)
Epoch: [87][220/5005] Time 0.211 (0.211) Data 0.046 (0.053) Loss 2.2354 (2.3182) Prec@1 46.875 (47.124) Prec@5 74.609 (72.624)
Epoch: [87][230/5005] Time 0.224 (0.211) Data 0.046 (0.053) Loss 2.4229 (2.3170) Prec@1 47.656 (47.157) Prec@5 72.266 (72.643)
Epoch: [87][240/5005] Time 0.220 (0.212) Data 0.044 (0.053) Loss 2.1691 (2.3154) Prec@1 51.953 (47.176) Prec@5 75.000 (72.684)
Epoch: [87][250/5005] Time 0.212 (0.212) Data 0.059 (0.053) Loss 2.3660 (2.3141) Prec@1 44.531 (47.191) Prec@5 71.484 (72.736)
Epoch: [87][260/5005] Time 0.214 (0.212) Data 0.057 (0.053) Loss 2.1815 (2.3128) Prec@1 45.312 (47.191) Prec@5 73.828 (72.739)
Epoch: [87][270/5005] Time 0.216 (0.212) Data 0.058 (0.053) Loss 2.4381 (2.3123) Prec@1 45.312 (47.217) Prec@5 71.484 (72.734)
Epoch: [87][280/5005] Time 0.221 (0.212) Data 0.060 (0.053) Loss 2.6185 (2.3134) Prec@1 41.016 (47.121) Prec@5 64.062 (72.685)
Epoch: [87][290/5005] Time 0.226 (0.212) Data 0.051 (0.053) Loss 2.2818 (2.3146) Prec@1 46.484 (47.098) Prec@5 74.219 (72.646)
Epoch: [87][300/5005] Time 0.214 (0.212) Data 0.052 (0.052) Loss 2.1023 (2.3146) Prec@1 50.000 (47.079) Prec@5 74.219 (72.637)
Epoch: [87][310/5005] Time 0.225 (0.213) Data 0.047 (0.052) Loss 2.2387 (2.3125) Prec@1 51.172 (47.140) Prec@5 72.656 (72.658)
Epoch: [87][320/5005] Time 0.218 (0.213) Data 0.065 (0.052) Loss 2.5869 (2.3148) Prec@1 43.750 (47.104) Prec@5 69.141 (72.639)
Epoch: [87][330/5005] Time 0.219 (0.213) Data 0.047 (0.052) Loss 2.1460 (2.3136) Prec@1 51.953 (47.126) Prec@5 78.125 (72.668)
Epoch: [87][340/5005] Time 0.214 (0.213) Data 0.049 (0.052) Loss 2.4246 (2.3173) Prec@1 44.531 (47.080) Prec@5 68.359 (72.614)
Epoch: [87][350/5005] Time 0.211 (0.213) Data 0.043 (0.052) Loss 2.4878 (2.3174) Prec@1 41.797 (47.061) Prec@5 69.141 (72.595)
Epoch: [87][360/5005] Time 0.215 (0.213) Data 0.056 (0.052) Loss 2.3341 (2.3164) Prec@1 48.438 (47.080) Prec@5 69.922 (72.591)
Epoch: [87][370/5005] Time 0.210 (0.213) Data 0.049 (0.052) Loss 2.3341 (2.3145) Prec@1 45.703 (47.063) Prec@5 72.656 (72.632)
Epoch: [87][380/5005] Time 0.220 (0.213) Data 0.043 (0.052) Loss 2.3953 (2.3149) Prec@1 46.094 (47.053) Prec@5 72.656 (72.647)
Epoch: [87][390/5005] Time 0.207 (0.213) Data 0.049 (0.052) Loss 2.2793 (2.3157) Prec@1 49.609 (47.048) Prec@5 72.656 (72.615)
Epoch: [87][400/5005] Time 0.216 (0.213) Data 0.045 (0.052) Loss 2.2209 (2.3146) Prec@1 47.656 (47.058) Prec@5 75.000 (72.625)
Epoch: [87][410/5005] Time 0.219 (0.213) Data 0.043 (0.052) Loss 2.1839 (2.3138) Prec@1 48.438 (47.061) Prec@5 75.391 (72.647)
Epoch: [87][420/5005] Time 0.219 (0.213) Data 0.043 (0.052) Loss 2.3103 (2.3138) Prec@1 44.531 (47.060) Prec@5 73.047 (72.641)
Epoch: [87][430/5005] Time 0.205 (0.213) Data 0.059 (0.052) Loss 2.2111 (2.3137) Prec@1 51.562 (47.077) Prec@5 74.219 (72.623)
Epoch: [87][440/5005] Time 0.219 (0.213) Data 0.043 (0.052) Loss 2.3154 (2.3128) Prec@1 48.828 (47.088) Prec@5 70.703 (72.632)
Epoch: [87][450/5005] Time 0.221 (0.214) Data 0.054 (0.052) Loss 2.0019 (2.3131) Prec@1 50.000 (47.069) Prec@5 77.734 (72.627)
Epoch: [87][460/5005] Time 0.211 (0.214) Data 0.042 (0.052) Loss 2.2826 (2.3139) Prec@1 47.656 (47.037) Prec@5 72.266 (72.628)
Epoch: [87][470/5005] Time 0.217 (0.214) Data 0.044 (0.052) Loss 2.2960 (2.3156) Prec@1 43.750 (46.996) Prec@5 69.141 (72.594)
Epoch: [87][480/5005] Time 0.224 (0.214) Data 0.047 (0.052) Loss 2.3194 (2.3158) Prec@1 45.312 (46.996) Prec@5 73.047 (72.598)
Epoch: [87][490/5005] Time 0.209 (0.214) Data 0.043 (0.051) Loss 2.3523 (2.3167) Prec@1 50.000 (46.955) Prec@5 73.828 (72.580)
Epoch: [87][500/5005] Time 0.222 (0.214) Data 0.044 (0.051) Loss 2.5851 (2.3185) Prec@1 42.969 (46.927) Prec@5 69.141 (72.546)
Epoch: [87][510/5005] Time 0.221 (0.214) Data 0.051 (0.051) Loss 2.5060 (2.3188) Prec@1 45.703 (46.938) Prec@5 69.531 (72.535)
Epoch: [87][520/5005] Time 0.219 (0.214) Data 0.050 (0.051) Loss 2.3736 (2.3186) Prec@1 45.703 (46.946) Prec@5 69.922 (72.526)
Epoch: [87][530/5005] Time 0.201 (0.214) Data 0.053 (0.051) Loss 2.2910 (2.3184) Prec@1 47.266 (46.957) Prec@5 73.828 (72.537)
Epoch: [87][540/5005] Time 0.213 (0.214) Data 0.043 (0.051) Loss 2.4050 (2.3185) Prec@1 46.484 (46.940) Prec@5 68.359 (72.519)
Epoch: [87][550/5005] Time 0.205 (0.214) Data 0.053 (0.051) Loss 2.3320 (2.3179) Prec@1 47.266 (46.940) Prec@5 75.781 (72.528)
Epoch: [87][560/5005] Time 0.220 (0.214) Data 0.047 (0.051) Loss 2.4367 (2.3179) Prec@1 46.094 (46.945) Prec@5 73.438 (72.545)
Epoch: [87][570/5005] Time 0.215 (0.214) Data 0.042 (0.051) Loss 2.3503 (2.3184) Prec@1 48.438 (46.943) Prec@5 66.406 (72.533)
Epoch: [87][580/5005] Time 0.223 (0.214) Data 0.053 (0.051) Loss 2.2452 (2.3177) Prec@1 46.875 (46.955) Prec@5 71.875 (72.544)
Epoch: [87][590/5005] Time 0.205 (0.214) Data 0.043 (0.051) Loss 2.5031 (2.3179) Prec@1 43.359 (46.956) Prec@5 70.312 (72.526)
Epoch: [87][600/5005] Time 0.213 (0.214) Data 0.062 (0.051) Loss 2.2735 (2.3192) Prec@1 47.266 (46.935) Prec@5 75.000 (72.507)
Epoch: [87][610/5005] Time 0.219 (0.214) Data 0.043 (0.051) Loss 2.2378 (2.3191) Prec@1 49.219 (46.935) Prec@5 76.172 (72.523)
Epoch: [87][620/5005] Time 0.210 (0.214) Data 0.062 (0.051) Loss 2.3364 (2.3184) Prec@1 49.219 (46.958) Prec@5 67.578 (72.520)
Epoch: [87][630/5005] Time 0.217 (0.214) Data 0.044 (0.051) Loss 2.5223 (2.3180) Prec@1 41.406 (46.967) Prec@5 71.875 (72.531)
Epoch: [87][640/5005] Time 0.217 (0.214) Data 0.044 (0.051) Loss 2.1913 (2.3175) Prec@1 47.266 (46.990) Prec@5 74.219 (72.536)
Epoch: [87][650/5005] Time 0.214 (0.214) Data 0.047 (0.051) Loss 2.3397 (2.3183) Prec@1 43.359 (46.977) Prec@5 69.141 (72.524)
Epoch: [87][660/5005] Time 0.223 (0.214) Data 0.043 (0.051) Loss 2.4570 (2.3174) Prec@1 44.922 (47.001) Prec@5 73.047 (72.546)
Epoch: [87][670/5005] Time 0.214 (0.214) Data 0.042 (0.051) Loss 2.5358 (2.3179) Prec@1 43.359 (46.990) Prec@5 70.703 (72.524)
Epoch: [87][680/5005] Time 0.209 (0.214) Data 0.058 (0.051) Loss 2.3849 (2.3177) Prec@1 43.359 (46.986) Prec@5 73.438 (72.525)
Epoch: [87][690/5005] Time 0.203 (0.214) Data 0.057 (0.051) Loss 2.0877 (2.3168) Prec@1 51.953 (47.015) Prec@5 79.297 (72.538)
Epoch: [87][700/5005] Time 0.216 (0.214) Data 0.044 (0.051) Loss 2.4113 (2.3163) Prec@1 47.266 (47.029) Prec@5 67.578 (72.541)
Epoch: [87][710/5005] Time 0.215 (0.214) Data 0.042 (0.050) Loss 2.0381 (2.3161) Prec@1 51.172 (47.037) Prec@5 76.562 (72.554)
Epoch: [87][720/5005] Time 0.212 (0.214) Data 0.043 (0.050) Loss 2.2006 (2.3153) Prec@1 50.000 (47.061) Prec@5 73.828 (72.569)
Epoch: [87][730/5005] Time 0.217 (0.214) Data 0.041 (0.050) Loss 2.4014 (2.3151) Prec@1 48.438 (47.074) Prec@5 72.656 (72.576)
Epoch: [87][740/5005] Time 0.214 (0.214) Data 0.044 (0.050) Loss 2.4661 (2.3156) Prec@1 44.141 (47.070) Prec@5 67.578 (72.565)
Epoch: [87][750/5005] Time 0.219 (0.214) Data 0.047 (0.050) Loss 2.1371 (2.3150) Prec@1 49.219 (47.081) Prec@5 78.516 (72.557)
Epoch: [87][760/5005] Time 0.218 (0.214) Data 0.043 (0.050) Loss 2.3235 (2.3154) Prec@1 42.969 (47.066) Prec@5 73.047 (72.546)
Epoch: [87][770/5005] Time 0.220 (0.214) Data 0.044 (0.050) Loss 2.2631 (2.3138) Prec@1 46.484 (47.112) Prec@5 71.875 (72.578)
Epoch: [87][780/5005] Time 0.221 (0.214) Data 0.045 (0.050) Loss 2.3860 (2.3136) Prec@1 44.922 (47.111) Prec@5 69.922 (72.574)
Epoch: [87][790/5005] Time 0.218 (0.214) Data 0.054 (0.050) Loss 2.2864 (2.3129) Prec@1 49.219 (47.127) Prec@5 72.266 (72.592)
Epoch: [87][800/5005] Time 0.214 (0.214) Data 0.044 (0.050) Loss 2.1550 (2.3117) Prec@1 48.438 (47.155) Prec@5 78.125 (72.621)
Epoch: [87][810/5005] Time 0.218 (0.214) Data 0.049 (0.050) Loss 2.2781 (2.3118) Prec@1 48.047 (47.159) Prec@5 73.438 (72.631)
Epoch: [87][820/5005] Time 0.206 (0.214) Data 0.047 (0.050) Loss 2.4182 (2.3125) Prec@1 43.359 (47.143) Prec@5 67.578 (72.618)
Epoch: [87][830/5005] Time 0.210 (0.214) Data 0.042 (0.050) Loss 2.2253 (2.3123) Prec@1 47.266 (47.135) Prec@5 73.828 (72.619)
Epoch: [87][840/5005] Time 0.212 (0.214) Data 0.040 (0.050) Loss 2.1571 (2.3123) Prec@1 50.391 (47.140) Prec@5 72.266 (72.620)
Epoch: [87][850/5005] Time 0.214 (0.214) Data 0.046 (0.050) Loss 2.4126 (2.3117) Prec@1 49.219 (47.148) Prec@5 72.266 (72.631)
Epoch: [87][860/5005] Time 0.210 (0.214) Data 0.044 (0.050) Loss 2.4131 (2.3124) Prec@1 46.094 (47.149) Prec@5 69.922 (72.610)
Epoch: [87][870/5005] Time 0.216 (0.214) Data 0.042 (0.050) Loss 2.2313 (2.3117) Prec@1 44.922 (47.170) Prec@5 74.219 (72.628)
Epoch: [87][880/5005] Time 0.213 (0.214) Data 0.050 (0.050) Loss 2.1924 (2.3120) Prec@1 48.828 (47.158) Prec@5 76.953 (72.635)
Epoch: [87][890/5005] Time 0.211 (0.214) Data 0.051 (0.050) Loss 2.5924 (2.3119) Prec@1 41.797 (47.156) Prec@5 66.016 (72.629)
Epoch: [87][900/5005] Time 0.213 (0.214) Data 0.049 (0.049) Loss 2.2499 (2.3117) Prec@1 44.922 (47.152) Prec@5 73.828 (72.629)
Epoch: [87][910/5005] Time 0.215 (0.214) Data 0.043 (0.049) Loss 2.3031 (2.3117) Prec@1 47.266 (47.148) Prec@5 70.703 (72.626)
Epoch: [87][920/5005] Time 0.213 (0.214) Data 0.045 (0.049) Loss 2.3471 (2.3110) Prec@1 43.359 (47.169) Prec@5 73.047 (72.634)
Epoch: [87][930/5005] Time 0.217 (0.214) Data 0.042 (0.049) Loss 2.3807 (2.3108) Prec@1 45.312 (47.165) Prec@5 70.312 (72.635)
Epoch: [87][940/5005] Time 0.211 (0.214) Data 0.057 (0.049) Loss 2.1473 (2.3106) Prec@1 49.609 (47.168) Prec@5 77.344 (72.636)
Epoch: [87][950/5005] Time 0.226 (0.214) Data 0.046 (0.049) Loss 2.3285 (2.3116) Prec@1 47.266 (47.156) Prec@5 74.609 (72.624)
Epoch: [87][960/5005] Time 0.213 (0.214) Data 0.041 (0.049) Loss 2.4242 (2.3114) Prec@1 48.828 (47.154) Prec@5 70.703 (72.629)
Epoch: [87][970/5005] Time 0.210 (0.214) Data 0.039 (0.049) Loss 2.1759 (2.3110) Prec@1 48.438 (47.159) Prec@5 73.438 (72.634)
Epoch: [87][980/5005] Time 0.219 (0.214) Data 0.038 (0.049) Loss 2.3313 (2.3103) Prec@1 47.266 (47.178) Prec@5 71.484 (72.643)
Epoch: [87][990/5005] Time 0.209 (0.213) Data 0.047 (0.049) Loss 2.3919 (2.3105) Prec@1 44.141 (47.167) Prec@5 73.047 (72.633)
Epoch: [87][1000/5005] Time 0.216 (0.213) Data 0.044 (0.049) Loss 2.3522 (2.3103) Prec@1 48.438 (47.166) Prec@5 72.266 (72.636)
Epoch: [87][1010/5005] Time 0.209 (0.213) Data 0.048 (0.049) Loss 2.2703 (2.3101) Prec@1 50.391 (47.174) Prec@5 73.438 (72.631)
Epoch: [87][1020/5005] Time 0.215 (0.213) Data 0.042 (0.049) Loss 2.1190 (2.3108) Prec@1 53.125 (47.171) Prec@5 77.344 (72.616)
Epoch: [87][1030/5005] Time 1.574 (0.215) Data 0.058 (0.049) Loss 2.1097 (2.3104) Prec@1 49.219 (47.164) Prec@5 74.219 (72.618)
Epoch: [87][1040/5005] Time 0.196 (0.215) Data 0.055 (0.049) Loss 2.4183 (2.3107) Prec@1 40.625 (47.161) Prec@5 72.266 (72.612)
Epoch: [87][1050/5005] Time 0.206 (0.215) Data 0.042 (0.049) Loss 2.4068 (2.3113) Prec@1 46.875 (47.133) Prec@5 69.922 (72.607)
Epoch: [87][1060/5005] Time 0.202 (0.214) Data 0.060 (0.049) Loss 2.4001 (2.3118) Prec@1 47.266 (47.132) Prec@5 71.875 (72.605)
Epoch: [87][1070/5005] Time 0.204 (0.214) Data 0.053 (0.049) Loss 2.3197 (2.3118) Prec@1 46.875 (47.140) Prec@5 71.094 (72.596)
Epoch: [87][1080/5005] Time 0.212 (0.214) Data 0.048 (0.049) Loss 2.2992 (2.3121) Prec@1 46.094 (47.133) Prec@5 71.484 (72.590)
Epoch: [87][1090/5005] Time 0.220 (0.214) Data 0.046 (0.049) Loss 2.1598 (2.3116) Prec@1 50.000 (47.144) Prec@5 75.391 (72.594)
Epoch: [87][1100/5005] Time 0.213 (0.214) Data 0.048 (0.049) Loss 2.3617 (2.3111) Prec@1 49.609 (47.167) Prec@5 73.828 (72.597)
Epoch: [87][1110/5005] Time 0.206 (0.214) Data 0.064 (0.049) Loss 2.3091 (2.3112) Prec@1 47.656 (47.163) Prec@5 75.000 (72.599)
Epoch: [87][1120/5005] Time 0.216 (0.214) Data 0.048 (0.049) Loss 2.1915 (2.3104) Prec@1 51.172 (47.180) Prec@5 71.094 (72.612)
Epoch: [87][1130/5005] Time 0.222 (0.214) Data 0.044 (0.049) Loss 2.3851 (2.3108) Prec@1 46.094 (47.170) Prec@5 73.438 (72.607)
Epoch: [87][1140/5005] Time 0.215 (0.214) Data 0.043 (0.049) Loss 2.3504 (2.3104) Prec@1 50.000 (47.180) Prec@5 69.531 (72.612)
Epoch: [87][1150/5005] Time 0.201 (0.214) Data 0.047 (0.049) Loss 2.1985 (2.3098) Prec@1 48.438 (47.192) Prec@5 75.391 (72.622)
Epoch: [87][1160/5005] Time 0.206 (0.214) Data 0.044 (0.049) Loss 2.3858 (2.3097) Prec@1 46.484 (47.197) Prec@5 71.484 (72.616)
Epoch: [87][1170/5005] Time 0.210 (0.214) Data 0.042 (0.049) Loss 2.3131 (2.3097) Prec@1 47.266 (47.195) Prec@5 70.703 (72.614)
Epoch: [87][1180/5005] Time 0.204 (0.214) Data 0.047 (0.049) Loss 2.3831 (2.3096) Prec@1 49.219 (47.195) Prec@5 72.656 (72.609)
Epoch: [87][1190/5005] Time 0.202 (0.214) Data 0.042 (0.049) Loss 2.2180 (2.3094) Prec@1 44.531 (47.196) Prec@5 72.656 (72.609)
Epoch: [87][1200/5005] Time 0.215 (0.214) Data 0.054 (0.049) Loss 2.5252 (2.3094) Prec@1 43.750 (47.199) Prec@5 71.484 (72.613)
Epoch: [87][1210/5005] Time 0.210 (0.214) Data 0.052 (0.049) Loss 2.3318 (2.3096) Prec@1 41.797 (47.198) Prec@5 71.875 (72.610)
Epoch: [87][1220/5005] Time 0.212 (0.214) Data 0.048 (0.049) Loss 2.2724 (2.3098) Prec@1 49.609 (47.196) Prec@5 73.828 (72.608)
Epoch: [87][1230/5005] Time 0.209 (0.214) Data 0.046 (0.049) Loss 2.3008 (2.3098) Prec@1 46.094 (47.193) Prec@5 73.438 (72.603)
Epoch: [87][1240/5005] Time 0.213 (0.214) Data 0.051 (0.049) Loss 2.3196 (2.3099) Prec@1 47.266 (47.190) Prec@5 71.875 (72.590)
Epoch: [87][1250/5005] Time 0.209 (0.214) Data 0.046 (0.049) Loss 2.5143 (2.3104) Prec@1 42.188 (47.181) Prec@5 69.922 (72.581)
Epoch: [87][1260/5005] Time 0.208 (0.214) Data 0.038 (0.049) Loss 2.1288 (2.3097) Prec@1 50.391 (47.197) Prec@5 74.609 (72.590)
Epoch: [87][1270/5005] Time 0.214 (0.214) Data 0.046 (0.049) Loss 2.4309 (2.3102) Prec@1 46.484 (47.200) Prec@5 70.312 (72.588)
Epoch: [87][1280/5005] Time 0.215 (0.214) Data 0.041 (0.049) Loss 2.2699 (2.3106) Prec@1 50.391 (47.200) Prec@5 72.266 (72.588)
Epoch: [87][1290/5005] Time 0.214 (0.214) Data 0.042 (0.049) Loss 2.0186 (2.3100) Prec@1 50.391 (47.212) Prec@5 75.391 (72.596)
Epoch: [87][1300/5005] Time 0.213 (0.214) Data 0.044 (0.049) Loss 2.2094 (2.3099) Prec@1 51.562 (47.213) Prec@5 76.172 (72.595)
Epoch: [87][1310/5005] Time 0.210 (0.214) Data 0.042 (0.049) Loss 2.4231 (2.3097) Prec@1 43.359 (47.215) Prec@5 71.875 (72.604)
Epoch: [87][1320/5005] Time 0.213 (0.214) Data 0.043 (0.049) Loss 2.4684 (2.3095) Prec@1 44.141 (47.225) Prec@5 72.656 (72.607)
Epoch: [87][1330/5005] Time 0.219 (0.214) Data 0.047 (0.049) Loss 2.4512 (2.3099) Prec@1 45.703 (47.225) Prec@5 72.266 (72.602)
Epoch: [87][1340/5005] Time 0.202 (0.214) Data 0.053 (0.049) Loss 2.2887 (2.3099) Prec@1 44.531 (47.230) Prec@5 74.609 (72.609)
Epoch: [87][1350/5005] Time 0.216 (0.214) Data 0.048 (0.049) Loss 2.7839 (2.3102) Prec@1 41.797 (47.224) Prec@5 66.797 (72.605)
Epoch: [87][1360/5005] Time 0.212 (0.214) Data 0.046 (0.049) Loss 2.1201 (2.3098) Prec@1 54.297 (47.238) Prec@5 74.219 (72.607)
Epoch: [87][1370/5005] Time 0.214 (0.213) Data 0.048 (0.049) Loss 2.3613 (2.3095) Prec@1 46.875 (47.233) Prec@5 71.094 (72.611)
Epoch: [87][1380/5005] Time 0.212 (0.213) Data 0.044 (0.049) Loss 2.2950 (2.3094) Prec@1 48.047 (47.235) Prec@5 72.656 (72.614)
Epoch: [87][1390/5005] Time 0.211 (0.213) Data 0.048 (0.049) Loss 2.1904 (2.3093) Prec@1 50.391 (47.239) Prec@5 76.562 (72.617)
Epoch: [87][1400/5005] Time 0.213 (0.213) Data 0.048 (0.049) Loss 2.3763 (2.3086) Prec@1 47.656 (47.251) Prec@5 70.703 (72.632)
Epoch: [87][1410/5005] Time 0.218 (0.213) Data 0.046 (0.049) Loss 2.2299 (2.3085) Prec@1 50.781 (47.254) Prec@5 72.656 (72.631)
Epoch: [87][1420/5005] Time 0.211 (0.213) Data 0.042 (0.049) Loss 2.5800 (2.3083) Prec@1 44.922 (47.258) Prec@5 66.016 (72.629)
Epoch: [87][1430/5005] Time 0.206 (0.213) Data 0.052 (0.049) Loss 2.0345 (2.3083) Prec@1 50.781 (47.264) Prec@5 76.172 (72.621)
Epoch: [87][1440/5005] Time 0.204 (0.213) Data 0.050 (0.049) Loss 2.0408 (2.3082) Prec@1 53.516 (47.268) Prec@5 77.734 (72.620)
Epoch: [87][1450/5005] Time 0.206 (0.213) Data 0.049 (0.049) Loss 2.1821 (2.3081) Prec@1 52.734 (47.271) Prec@5 73.438 (72.618)
Epoch: [87][1460/5005] Time 0.206 (0.213) Data 0.059 (0.049) Loss 2.4090 (2.3079) Prec@1 42.969 (47.272) Prec@5 71.484 (72.624)
Epoch: [87][1470/5005] Time 0.206 (0.213) Data 0.043 (0.049) Loss 2.4370 (2.3079) Prec@1 46.094 (47.272) Prec@5 69.141 (72.618)
Epoch: [87][1480/5005] Time 0.198 (0.213) Data 0.047 (0.049) Loss 2.1349 (2.3077) Prec@1 53.516 (47.275) Prec@5 76.172 (72.622)
Epoch: [87][1490/5005] Time 0.216 (0.213) Data 0.041 (0.049) Loss 2.4845 (2.3073) Prec@1 42.969 (47.283) Prec@5 70.703 (72.632)
Epoch: [87][1500/5005] Time 0.217 (0.213) Data 0.044 (0.049) Loss 2.4529 (2.3071) Prec@1 45.703 (47.287) Prec@5 72.266 (72.643)
Epoch: [87][1510/5005] Time 0.201 (0.213) Data 0.046 (0.049) Loss 2.1260 (2.3070) Prec@1 51.172 (47.292) Prec@5 74.609 (72.640)
Epoch: [87][1520/5005] Time 0.206 (0.213) Data 0.052 (0.049) Loss 2.4650 (2.3069) Prec@1 44.922 (47.290) Prec@5 70.703 (72.646)
Epoch: [87][1530/5005] Time 0.204 (0.213) Data 0.045 (0.049) Loss 2.4249 (2.3068) Prec@1 44.531 (47.291) Prec@5 70.703 (72.645)
Epoch: [87][1540/5005] Time 0.206 (0.213) Data 0.051 (0.049) Loss 2.4663 (2.3072) Prec@1 42.188 (47.280) Prec@5 67.578 (72.635)
Epoch: [87][1550/5005] Time 0.196 (0.213) Data 0.045 (0.049) Loss 2.2220 (2.3069) Prec@1 47.656 (47.284) Prec@5 73.438 (72.636)
Epoch: [87][1560/5005] Time 0.204 (0.213) Data 0.050 (0.049) Loss 2.1996 (2.3070) Prec@1 50.000 (47.286) Prec@5 74.609 (72.636)
Epoch: [87][1570/5005] Time 0.200 (0.213) Data 0.049 (0.049) Loss 2.2112 (2.3068) Prec@1 48.828 (47.296) Prec@5 75.000 (72.643)
Epoch: [87][1580/5005] Time 0.215 (0.213) Data 0.047 (0.049) Loss 2.1521 (2.3069) Prec@1 50.781 (47.291) Prec@5 76.953 (72.642)
Epoch: [87][1590/5005] Time 0.221 (0.213) Data 0.046 (0.049) Loss 2.2807 (2.3068) Prec@1 44.531 (47.287) Prec@5 71.484 (72.642)
Epoch: [87][1600/5005] Time 0.219 (0.213) Data 0.043 (0.049) Loss 2.2851 (2.3069) Prec@1 50.781 (47.287) Prec@5 72.266 (72.641)
Epoch: [87][1610/5005] Time 0.210 (0.213) Data 0.051 (0.049) Loss 2.4024 (2.3068) Prec@1 47.656 (47.296) Prec@5 72.266 (72.642)
Epoch: [87][1620/5005] Time 0.211 (0.213) Data 0.042 (0.049) Loss 2.3617 (2.3065) Prec@1 46.094 (47.296) Prec@5 71.875 (72.650)
Epoch: [87][1630/5005] Time 0.217 (0.213) Data 0.047 (0.049) Loss 2.1901 (2.3065) Prec@1 50.000 (47.295) Prec@5 73.047 (72.647)
Epoch: [87][1640/5005] Time 0.209 (0.213) Data 0.055 (0.049) Loss 2.3079 (2.3069) Prec@1 49.219 (47.288) Prec@5 72.266 (72.641)
Epoch: [87][1650/5005] Time 0.211 (0.213) Data 0.043 (0.049) Loss 2.4470 (2.3070) Prec@1 43.359 (47.287) Prec@5 69.922 (72.638)
Epoch: [87][1660/5005] Time 0.213 (0.213) Data 0.042 (0.049) Loss 2.1867 (2.3064) Prec@1 50.391 (47.306) Prec@5 75.000 (72.648)
Epoch: [87][1670/5005] Time 0.213 (0.213) Data 0.046 (0.049) Loss 2.0490 (2.3062) Prec@1 51.562 (47.308) Prec@5 75.391 (72.652)
Epoch: [87][1680/5005] Time 0.209 (0.213) Data 0.048 (0.049) Loss 2.3596 (2.3063) Prec@1 45.703 (47.306) Prec@5 72.656 (72.648)
Epoch: [87][1690/5005] Time 0.202 (0.213) Data 0.042 (0.049) Loss 2.2277 (2.3062) Prec@1 48.047 (47.308) Prec@5 71.875 (72.649)
Epoch: [87][1700/5005] Time 0.216 (0.213) Data 0.046 (0.049) Loss 2.4391 (2.3058) Prec@1 44.141 (47.312) Prec@5 70.312 (72.659)
Epoch: [87][1710/5005] Time 0.213 (0.213) Data 0.044 (0.049) Loss 2.0951 (2.3051) Prec@1 53.906 (47.324) Prec@5 74.219 (72.673)
Epoch: [87][1720/5005] Time 0.206 (0.213) Data 0.057 (0.049) Loss 2.3917 (2.3050) Prec@1 46.875 (47.319) Prec@5 70.312 (72.675)
Epoch: [87][1730/5005] Time 0.213 (0.213) Data 0.043 (0.049) Loss 2.2945 (2.3050) Prec@1 45.312 (47.314) Prec@5 73.047 (72.675)
Epoch: [87][1740/5005] Time 0.212 (0.212) Data 0.045 (0.049) Loss 2.4649 (2.3050) Prec@1 42.969 (47.317) Prec@5 67.969 (72.674)
Epoch: [87][1750/5005] Time 0.208 (0.212) Data 0.041 (0.049) Loss 2.3428 (2.3050) Prec@1 46.094 (47.319) Prec@5 71.094 (72.677)
Epoch: [87][1760/5005] Time 0.211 (0.212) Data 0.042 (0.049) Loss 2.0116 (2.3047) Prec@1 51.172 (47.329) Prec@5 78.516 (72.684)
Epoch: [87][1770/5005] Time 0.214 (0.212) Data 0.041 (0.049) Loss 2.3482 (2.3046) Prec@1 45.312 (47.326) Prec@5 75.781 (72.686)
Epoch: [87][1780/5005] Time 0.217 (0.212) Data 0.042 (0.049) Loss 2.1822 (2.3045) Prec@1 48.438 (47.321) Prec@5 74.609 (72.685)
Epoch: [87][1790/5005] Time 0.206 (0.212) Data 0.046 (0.048) Loss 2.0655 (2.3044) Prec@1 52.344 (47.326) Prec@5 73.438 (72.689)
Epoch: [87][1800/5005] Time 0.202 (0.212) Data 0.044 (0.048) Loss 2.3144 (2.3042) Prec@1 51.953 (47.335) Prec@5 73.047 (72.694)
Epoch: [87][1810/5005] Time 0.199 (0.212) Data 0.049 (0.048) Loss 2.1215 (2.3039) Prec@1 52.344 (47.334) Prec@5 76.172 (72.700)
Epoch: [87][1820/5005] Time 0.203 (0.212) Data 0.056 (0.049) Loss 2.4344 (2.3040) Prec@1 43.359 (47.331) Prec@5 67.969 (72.699)
Epoch: [87][1830/5005] Time 0.204 (0.212) Data 0.044 (0.049) Loss 2.0440 (2.3033) Prec@1 51.953 (47.335) Prec@5 78.125 (72.705)
Epoch: [87][1840/5005] Time 0.207 (0.212) Data 0.049 (0.049) Loss 2.5166 (2.3032) Prec@1 43.750 (47.338) Prec@5 68.359 (72.705)
Epoch: [87][1850/5005] Time 0.213 (0.212) Data 0.041 (0.049) Loss 2.3052 (2.3029) Prec@1 47.266 (47.338) Prec@5 75.000 (72.710)
Epoch: [87][1860/5005] Time 0.213 (0.212) Data 0.041 (0.049) Loss 2.3524 (2.3031) Prec@1 46.875 (47.329) Prec@5 72.656 (72.711)
Epoch: [87][1870/5005] Time 0.207 (0.212) Data 0.045 (0.049) Loss 2.6330 (2.3035) Prec@1 43.750 (47.322) Prec@5 68.359 (72.708)
Epoch: [87][1880/5005] Time 0.212 (0.212) Data 0.045 (0.048) Loss 2.2669 (2.3036) Prec@1 46.094 (47.324) Prec@5 73.438 (72.705)
Epoch: [87][1890/5005] Time 0.209 (0.212) Data 0.043 (0.048) Loss 2.2835 (2.3036) Prec@1 46.875 (47.325) Prec@5 73.047 (72.705)
Epoch: [87][1900/5005] Time 0.218 (0.212) Data 0.047 (0.048) Loss 2.3595 (2.3040) Prec@1 46.875 (47.315) Prec@5 70.312 (72.699)
Epoch: [87][1910/5005] Time 0.220 (0.212) Data 0.056 (0.048) Loss 2.2913 (2.3038) Prec@1 46.484 (47.316) Prec@5 71.875 (72.698)
Epoch: [87][1920/5005] Time 0.203 (0.212) Data 0.052 (0.048) Loss 2.0857 (2.3033) Prec@1 51.953 (47.317) Prec@5 76.562 (72.709)
Epoch: [87][1930/5005] Time 0.210 (0.212) Data 0.040 (0.048) Loss 2.1888 (2.3031) Prec@1 52.734 (47.320) Prec@5 73.438 (72.710)
Epoch: [87][1940/5005] Time 0.213 (0.212) Data 0.048 (0.048) Loss 2.1476 (2.3027) Prec@1 48.438 (47.323) Prec@5 75.000 (72.717)
Epoch: [87][1950/5005] Time 0.205 (0.212) Data 0.048 (0.048) Loss 2.2480 (2.3025) Prec@1 47.266 (47.327) Prec@5 73.828 (72.719)
Epoch: [87][1960/5005] Time 0.206 (0.212) Data 0.042 (0.048) Loss 2.1418 (2.3022) Prec@1 47.266 (47.334) Prec@5 75.781 (72.725)
Epoch: [87][1970/5005] Time 0.210 (0.212) Data 0.048 (0.048) Loss 2.3145 (2.3024) Prec@1 46.094 (47.328) Prec@5 71.484 (72.721)
Epoch: [87][1980/5005] Time 0.207 (0.212) Data 0.045 (0.048) Loss 2.0628 (2.3021) Prec@1 53.906 (47.336) Prec@5 73.047 (72.723)
Epoch: [87][1990/5005] Time 0.206 (0.213) Data 0.049 (0.048) Loss 2.0347 (2.3017) Prec@1 52.734 (47.341) Prec@5 74.609 (72.725)
Epoch: [87][2000/5005] Time 0.197 (0.213) Data 0.061 (0.048) Loss 2.1281 (2.3019) Prec@1 51.562 (47.340) Prec@5 76.953 (72.725)
Epoch: [87][2010/5005] Time 0.202 (0.213) Data 0.045 (0.048) Loss 2.2325 (2.3020) Prec@1 48.438 (47.334) Prec@5 75.391 (72.725)
Epoch: [87][2020/5005] Time 0.207 (0.212) Data 0.046 (0.048) Loss 2.2024 (2.3019) Prec@1 50.781 (47.335) Prec@5 73.047 (72.727)
Epoch: [87][2030/5005] Time 0.211 (0.212) Data 0.053 (0.048) Loss 2.3031 (2.3020) Prec@1 48.047 (47.339) Prec@5 73.047 (72.728)
Epoch: [87][2040/5005] Time 0.205 (0.212) Data 0.046 (0.048) Loss 2.1537 (2.3018) Prec@1 50.391 (47.341) Prec@5 73.047 (72.728)
Epoch: [87][2050/5005] Time 0.210 (0.212) Data 0.045 (0.048) Loss 2.4053 (2.3016) Prec@1 44.922 (47.347) Prec@5 71.875 (72.733)
Epoch: [87][2060/5005] Time 0.205 (0.212) Data 0.046 (0.048) Loss 2.2392 (2.3017) Prec@1 45.312 (47.344) Prec@5 73.047 (72.732)
Epoch: [87][2070/5005] Time 0.216 (0.212) Data 0.047 (0.048) Loss 2.4719 (2.3019) Prec@1 42.188 (47.336) Prec@5 73.047 (72.729)
Epoch: [87][2080/5005] Time 0.211 (0.212) Data 0.045 (0.048) Loss 2.3666 (2.3019) Prec@1 46.875 (47.336) Prec@5 75.781 (72.731)
Epoch: [87][2090/5005] Time 0.205 (0.212) Data 0.045 (0.048) Loss 2.2218 (2.3016) Prec@1 48.047 (47.342) Prec@5 75.781 (72.734)
Epoch: [87][2100/5005] Time 0.208 (0.212) Data 0.046 (0.048) Loss 2.3800 (2.3014) Prec@1 48.047 (47.345) Prec@5 71.875 (72.735)
Epoch: [87][2110/5005] Time 0.210 (0.212) Data 0.042 (0.048) Loss 2.1450 (2.3016) Prec@1 46.484 (47.341) Prec@5 76.172 (72.733)
Epoch: [87][2120/5005] Time 0.211 (0.212) Data 0.046 (0.048) Loss 2.3843 (2.3016) Prec@1 49.219 (47.342) Prec@5 70.312 (72.736)
Epoch: [87][2130/5005] Time 0.205 (0.212) Data 0.040 (0.048) Loss 2.2489 (2.3011) Prec@1 47.266 (47.350) Prec@5 76.562 (72.748)
Epoch: [87][2140/5005] Time 0.208 (0.212) Data 0.056 (0.048) Loss 2.2553 (2.3011) Prec@1 41.797 (47.351) Prec@5 74.219 (72.747)
Epoch: [87][2150/5005] Time 0.211 (0.212) Data 0.048 (0.048) Loss 2.2205 (2.3013) Prec@1 53.125 (47.348) Prec@5 74.609 (72.744)
Epoch: [87][2160/5005] Time 0.215 (0.212) Data 0.041 (0.048) Loss 2.2493 (2.3012) Prec@1 48.828 (47.348) Prec@5 77.344 (72.750)
Epoch: [87][2170/5005] Time 0.207 (0.212) Data 0.043 (0.048) Loss 2.0079 (2.3009) Prec@1 53.906 (47.356) Prec@5 79.688 (72.755)
Epoch: [87][2180/5005] Time 0.212 (0.212) Data 0.042 (0.048) Loss 2.3863 (2.3008) Prec@1 50.000 (47.360) Prec@5 70.312 (72.757)
Epoch: [87][2190/5005] Time 0.214 (0.212) Data 0.043 (0.048) Loss 2.5542 (2.3008) Prec@1 44.141 (47.364) Prec@5 67.969 (72.758)
Epoch: [87][2200/5005] Time 0.198 (0.212) Data 0.043 (0.048) Loss 2.3058 (2.3010) Prec@1 48.438 (47.364) Prec@5 69.922 (72.758)
Epoch: [87][2210/5005] Time 0.214 (0.212) Data 0.042 (0.048) Loss 2.5412 (2.3014) Prec@1 42.969 (47.357) Prec@5 66.016 (72.751)
Epoch: [87][2220/5005] Time 0.202 (0.212) Data 0.059 (0.048) Loss 2.5126 (2.3012) Prec@1 45.312 (47.360) Prec@5 69.141 (72.754)
Epoch: [87][2230/5005] Time 0.203 (0.212) Data 0.051 (0.048) Loss 2.2255 (2.3013) Prec@1 49.609 (47.359) Prec@5 74.219 (72.749)
Epoch: [87][2240/5005] Time 0.207 (0.212) Data 0.047 (0.048) Loss 2.3856 (2.3014) Prec@1 48.047 (47.357) Prec@5 71.875 (72.750)
Epoch: [87][2250/5005] Time 0.205 (0.212) Data 0.046 (0.048) Loss 2.2215 (2.3013) Prec@1 47.656 (47.360) Prec@5 75.000 (72.751)
Epoch: [87][2260/5005] Time 0.205 (0.212) Data 0.051 (0.048) Loss 2.2288 (2.3011) Prec@1 50.000 (47.363) Prec@5 72.656 (72.754)
Epoch: [87][2270/5005] Time 0.209 (0.212) Data 0.043 (0.048) Loss 2.4393 (2.3009) Prec@1 44.141 (47.369) Prec@5 69.141 (72.757)
Epoch: [87][2280/5005] Time 0.208 (0.212) Data 0.043 (0.048) Loss 2.2755 (2.3008) Prec@1 48.828 (47.377) Prec@5 75.391 (72.758)
Epoch: [87][2290/5005] Time 0.208 (0.212) Data 0.049 (0.048) Loss 2.1724 (2.3008) Prec@1 51.562 (47.377) Prec@5 76.953 (72.759)
Epoch: [87][2300/5005] Time 0.198 (0.212) Data 0.046 (0.048) Loss 2.4027 (2.3008) Prec@1 45.312 (47.381) Prec@5 70.312 (72.757)
Epoch: [87][2310/5005] Time 0.211 (0.212) Data 0.040 (0.048) Loss 2.0708 (2.3008) Prec@1 51.172 (47.381) Prec@5 77.344 (72.757)
Epoch: [87][2320/5005] Time 0.213 (0.212) Data 0.050 (0.048) Loss 2.4356 (2.3009) Prec@1 46.484 (47.383) Prec@5 69.922 (72.755)
Epoch: [87][2330/5005] Time 0.212 (0.212) Data 0.042 (0.048) Loss 2.2129 (2.3008) Prec@1 49.609 (47.385) Prec@5 75.781 (72.754)
Epoch: [87][2340/5005] Time 0.205 (0.212) Data 0.048 (0.048) Loss 2.3769 (2.3007) Prec@1 45.703 (47.387) Prec@5 71.484 (72.755)
Epoch: [87][2350/5005] Time 0.209 (0.212) Data 0.044 (0.048) Loss 2.0853 (2.3005) Prec@1 51.562 (47.388) Prec@5 74.219 (72.758)
Epoch: [87][2360/5005] Time 0.212 (0.212) Data 0.061 (0.048) Loss 2.3106 (2.3006) Prec@1 48.828 (47.387) Prec@5 73.438 (72.758)
Epoch: [87][2370/5005] Time 0.207 (0.212) Data 0.052 (0.048) Loss 2.2921 (2.3008) Prec@1 44.141 (47.381) Prec@5 67.969 (72.752)
Epoch: [87][2380/5005] Time 0.219 (0.212) Data 0.046 (0.048) Loss 2.3232 (2.3006) Prec@1 49.609 (47.389) Prec@5 72.266 (72.755)
Epoch: [87][2390/5005] Time 0.203 (0.212) Data 0.058 (0.048) Loss 2.2959 (2.3004) Prec@1 43.750 (47.391) Prec@5 72.656 (72.754)
Epoch: [87][2400/5005] Time 0.206 (0.212) Data 0.053 (0.048) Loss 2.2385 (2.3002) Prec@1 45.312 (47.388) Prec@5 72.266 (72.758)
Epoch: [87][2410/5005] Time 0.202 (0.212) Data 0.041 (0.048) Loss 2.5274 (2.3002) Prec@1 41.016 (47.385) Prec@5 68.359 (72.758)
Epoch: [87][2420/5005] Time 0.203 (0.212) Data 0.058 (0.048) Loss 2.3405 (2.3001) Prec@1 48.828 (47.392) Prec@5 72.266 (72.761)
Epoch: [87][2430/5005] Time 0.204 (0.212) Data 0.050 (0.048) Loss 2.1239 (2.3001) Prec@1 52.734 (47.393) Prec@5 75.000 (72.759)
Epoch: [87][2440/5005] Time 0.197 (0.212) Data 0.053 (0.048) Loss 2.0022 (2.3000) Prec@1 55.078 (47.398) Prec@5 77.734 (72.762)
Epoch: [87][2450/5005] Time 0.211 (0.212) Data 0.048 (0.048) Loss 2.3120 (2.2998) Prec@1 49.609 (47.406) Prec@5 72.656 (72.765)
Epoch: [87][2460/5005] Time 0.211 (0.212) Data 0.043 (0.048) Loss 2.2672 (2.2996) Prec@1 46.094 (47.409) Prec@5 71.484 (72.769)
Epoch: [87][2470/5005] Time 0.217 (0.212) Data 0.047 (0.048) Loss 2.1829 (2.2995) Prec@1 46.875 (47.411) Prec@5 73.438 (72.770)
Epoch: [87][2480/5005] Time 0.208 (0.212) Data 0.048 (0.048) Loss 2.4096 (2.2996) Prec@1 44.531 (47.407) Prec@5 71.484 (72.769)
Epoch: [87][2490/5005] Time 0.202 (0.212) Data 0.049 (0.048) Loss 2.0228 (2.2996) Prec@1 51.562 (47.407) Prec@5 77.344 (72.771)
Epoch: [87][2500/5005] Time 0.192 (0.212) Data 0.048 (0.048) Loss 2.3783 (2.2996) Prec@1 49.219 (47.411) Prec@5 70.312 (72.770)
Epoch: [87][2510/5005] Time 0.212 (0.211) Data 0.046 (0.048) Loss 2.4475 (2.2996) Prec@1 46.484 (47.408) Prec@5 74.219 (72.772)
Epoch: [87][2520/5005] Time 0.207 (0.211) Data 0.057 (0.048) Loss 2.2066 (2.2995) Prec@1 50.781 (47.407) Prec@5 72.656 (72.774)
Epoch: [87][2530/5005] Time 0.208 (0.211) Data 0.052 (0.048) Loss 2.4958 (2.2997) Prec@1 43.359 (47.405) Prec@5 67.578 (72.765)
Epoch: [87][2540/5005] Time 0.202 (0.211) Data 0.047 (0.048) Loss 2.2811 (2.2996) Prec@1 46.875 (47.406) Prec@5 75.000 (72.768)
Epoch: [87][2550/5005] Time 0.211 (0.211) Data 0.049 (0.048) Loss 2.3025 (2.2996) Prec@1 48.828 (47.410) Prec@5 72.656 (72.769)
Epoch: [87][2560/5005] Time 0.201 (0.211) Data 0.055 (0.048) Loss 2.5567 (2.2996) Prec@1 45.312 (47.409) Prec@5 66.016 (72.766)
Epoch: [87][2570/5005] Time 0.210 (0.211) Data 0.042 (0.048) Loss 2.3719 (2.2997) Prec@1 44.922 (47.411) Prec@5 71.484 (72.763)
Epoch: [87][2580/5005] Time 0.207 (0.211) Data 0.051 (0.048) Loss 2.3883 (2.3001) Prec@1 44.531 (47.403) Prec@5 70.703 (72.754)
Epoch: [87][2590/5005] Time 0.206 (0.211) Data 0.047 (0.048) Loss 2.3964 (2.2999) Prec@1 45.703 (47.411) Prec@5 71.484 (72.755)
Epoch: [87][2600/5005] Time 0.212 (0.211) Data 0.039 (0.048) Loss 2.3470 (2.3001) Prec@1 46.484 (47.406) Prec@5 76.172 (72.757)
Epoch: [87][2610/5005] Time 0.206 (0.211) Data 0.060 (0.048) Loss 2.3521 (2.3000) Prec@1 46.875 (47.406) Prec@5 70.703 (72.759)
Epoch: [87][2620/5005] Time 0.204 (0.211) Data 0.039 (0.048) Loss 2.2322 (2.2999) Prec@1 44.531 (47.403) Prec@5 73.438 (72.762)
Epoch: [87][2630/5005] Time 0.210 (0.211) Data 0.046 (0.048) Loss 2.5152 (2.3004) Prec@1 46.484 (47.401) Prec@5 70.703 (72.753)
Epoch: [87][2640/5005] Time 0.214 (0.211) Data 0.042 (0.048) Loss 2.4764 (2.3004) Prec@1 42.578 (47.399) Prec@5 70.312 (72.755)
Epoch: [87][2650/5005] Time 0.210 (0.211) Data 0.040 (0.048) Loss 2.5083 (2.3005) Prec@1 48.047 (47.401) Prec@5 67.969 (72.754)
Epoch: [87][2660/5005] Time 0.196 (0.211) Data 0.055 (0.048) Loss 2.2264 (2.3003) Prec@1 47.656 (47.401) Prec@5 74.609 (72.753)
Epoch: [87][2670/5005] Time 0.207 (0.211) Data 0.054 (0.048) Loss 1.9682 (2.3000) Prec@1 51.953 (47.409) Prec@5 77.344 (72.756)
Epoch: [87][2680/5005] Time 0.206 (0.211) Data 0.054 (0.048) Loss 2.2575 (2.2999) Prec@1 50.000 (47.407) Prec@5 71.484 (72.755)
Epoch: [87][2690/5005] Time 0.203 (0.211) Data 0.048 (0.048) Loss 2.0920 (2.2998) Prec@1 50.391 (47.410) Prec@5 75.781 (72.756)
Epoch: [87][2700/5005] Time 0.214 (0.211) Data 0.046 (0.048) Loss 2.2939 (2.2998) Prec@1 46.484 (47.409) Prec@5 72.266 (72.757)
Epoch: [87][2710/5005] Time 0.212 (0.211) Data 0.044 (0.048) Loss 2.1218 (2.2999) Prec@1 48.828 (47.405) Prec@5 75.000 (72.756)
Epoch: [87][2720/5005] Time 0.206 (0.211) Data 0.048 (0.048) Loss 2.1746 (2.2999) Prec@1 47.656 (47.404) Prec@5 76.562 (72.757)
Epoch: [87][2730/5005] Time 0.217 (0.211) Data 0.043 (0.048) Loss 2.2921 (2.2996) Prec@1 48.047 (47.410) Prec@5 73.047 (72.763)
Epoch: [87][2740/5005] Time 0.212 (0.211) Data 0.045 (0.048) Loss 2.2720 (2.2996) Prec@1 46.094 (47.412) Prec@5 76.172 (72.762)
Epoch: [87][2750/5005] Time 0.208 (0.211) Data 0.047 (0.048) Loss 2.2864 (2.2995) Prec@1 46.094 (47.414) Prec@5 71.875 (72.761)
Epoch: [87][2760/5005] Time 0.211 (0.211) Data 0.046 (0.048) Loss 2.2911 (2.2993) Prec@1 44.141 (47.415) Prec@5 73.438 (72.764)
Epoch: [87][2770/5005] Time 0.212 (0.211) Data 0.041 (0.048) Loss 2.2000 (2.2994) Prec@1 46.484 (47.411) Prec@5 72.656 (72.762)
Epoch: [87][2780/5005] Time 0.211 (0.211) Data 0.048 (0.048) Loss 2.4738 (2.2994) Prec@1 41.797 (47.412) Prec@5 72.266 (72.761)
Epoch: [87][2790/5005] Time 0.206 (0.211) Data 0.050 (0.048) Loss 2.5236 (2.2995) Prec@1 41.406 (47.413) Prec@5 68.750 (72.759)
Epoch: [87][2800/5005] Time 0.194 (0.211) Data 0.053 (0.048) Loss 2.0640 (2.2995) Prec@1 57.031 (47.418) Prec@5 74.609 (72.762)
Epoch: [87][2810/5005] Time 0.198 (0.211) Data 0.047 (0.048) Loss 2.4507 (2.2994) Prec@1 42.188 (47.418) Prec@5 67.188 (72.763)
Epoch: [87][2820/5005] Time 0.211 (0.211) Data 0.041 (0.048) Loss 1.9789 (2.2991) Prec@1 49.609 (47.421) Prec@5 79.297 (72.767)
Epoch: [87][2830/5005] Time 0.203 (0.211) Data 0.044 (0.048) Loss 2.4617 (2.2992) Prec@1 42.969 (47.418) Prec@5 68.359 (72.766)
Epoch: [87][2840/5005] Time 0.204 (0.211) Data 0.040 (0.048) Loss 2.3527 (2.2992) Prec@1 42.188 (47.414) Prec@5 73.438 (72.769)
Epoch: [87][2850/5005] Time 0.209 (0.211) Data 0.043 (0.048) Loss 2.4162 (2.2991) Prec@1 46.484 (47.413) Prec@5 70.312 (72.770)
Epoch: [87][2860/5005] Time 0.205 (0.211) Data 0.047 (0.048) Loss 2.3062 (2.2993) Prec@1 52.734 (47.414) Prec@5 74.219 (72.769)
Epoch: [87][2870/5005] Time 0.202 (0.211) Data 0.057 (0.048) Loss 2.3030 (2.2991) Prec@1 48.828 (47.419) Prec@5 73.828 (72.770)
Epoch: [87][2880/5005] Time 0.187 (0.211) Data 0.046 (0.048) Loss 2.2352 (2.2992) Prec@1 44.922 (47.419) Prec@5 75.000 (72.766)
Epoch: [87][2890/5005] Time 0.210 (0.211) Data 0.051 (0.048) Loss 2.3383 (2.2991) Prec@1 44.531 (47.420) Prec@5 71.094 (72.768)
Epoch: [87][2900/5005] Time 0.212 (0.211) Data 0.047 (0.048) Loss 2.0775 (2.2988) Prec@1 50.781 (47.423) Prec@5 73.828 (72.772)
Epoch: [87][2910/5005] Time 0.212 (0.211) Data 0.042 (0.048) Loss 2.1562 (2.2988) Prec@1 46.875 (47.423) Prec@5 77.344 (72.774)
Epoch: [87][2920/5005] Time 0.214 (0.211) Data 0.046 (0.048) Loss 2.3700 (2.2988) Prec@1 44.141 (47.420) Prec@5 69.531 (72.773)
Epoch: [87][2930/5005] Time 0.210 (0.211) Data 0.046 (0.048) Loss 2.4742 (2.2988) Prec@1 43.359 (47.421) Prec@5 67.969 (72.771)
Epoch: [87][2940/5005] Time 0.210 (0.211) Data 0.050 (0.048) Loss 2.5038 (2.2986) Prec@1 45.312 (47.422) Prec@5 67.578 (72.773)
Epoch: [87][2950/5005] Time 0.208 (0.211) Data 0.042 (0.048) Loss 2.3536 (2.2983) Prec@1 44.531 (47.426) Prec@5 74.219 (72.777)
Epoch: [87][2960/5005] Time 0.214 (0.211) Data 0.044 (0.048) Loss 2.1921 (2.2982) Prec@1 48.438 (47.428) Prec@5 74.609 (72.778)
Epoch: [87][2970/5005] Time 0.208 (0.211) Data 0.061 (0.048) Loss 2.4737 (2.2981) Prec@1 41.797 (47.426) Prec@5 71.094 (72.778)
Epoch: [87][2980/5005] Time 0.200 (0.211) Data 0.041 (0.048) Loss 2.4086 (2.2982) Prec@1 43.750 (47.421) Prec@5 69.922 (72.777)
Epoch: [87][2990/5005] Time 0.199 (0.211) Data 0.047 (0.048) Loss 2.2913 (2.2983) Prec@1 46.875 (47.419) Prec@5 73.438 (72.774)
Epoch: [87][3000/5005] Time 0.202 (0.211) Data 0.043 (0.048) Loss 2.3284 (2.2982) Prec@1 45.703 (47.420) Prec@5 71.094 (72.773)
Epoch: [87][3010/5005] Time 0.203 (0.211) Data 0.051 (0.048) Loss 2.1498 (2.2982) Prec@1 46.875 (47.419) Prec@5 75.000 (72.774)
Epoch: [87][3020/5005] Time 0.209 (0.211) Data 0.046 (0.048) Loss 2.1470 (2.2984) Prec@1 50.391 (47.416) Prec@5 74.609 (72.769)
Epoch: [87][3030/5005] Time 0.207 (0.211) Data 0.053 (0.048) Loss 2.3635 (2.2985) Prec@1 48.438 (47.413) Prec@5 73.438 (72.768)
Epoch: [87][3040/5005] Time 0.208 (0.211) Data 0.049 (0.048) Loss 2.1924 (2.2985) Prec@1 50.391 (47.417) Prec@5 75.391 (72.768)
Epoch: [87][3050/5005] Time 0.214 (0.211) Data 0.045 (0.048) Loss 2.2901 (2.2984) Prec@1 47.266 (47.417) Prec@5 75.391 (72.770)
Epoch: [87][3060/5005] Time 0.207 (0.211) Data 0.043 (0.048) Loss 2.2604 (2.2984) Prec@1 51.562 (47.418) Prec@5 71.484 (72.768)
Epoch: [87][3070/5005] Time 0.197 (0.211) Data 0.052 (0.048) Loss 2.3432 (2.2986) Prec@1 45.312 (47.417) Prec@5 75.000 (72.766)
Epoch: [87][3080/5005] Time 0.212 (0.211) Data 0.042 (0.048) Loss 2.0145 (2.2985) Prec@1 50.000 (47.416) Prec@5 79.297 (72.771)
Epoch: [87][3090/5005] Time 0.213 (0.211) Data 0.046 (0.048) Loss 2.5145 (2.2984) Prec@1 41.016 (47.414) Prec@5 68.750 (72.773)
Epoch: [87][3100/5005] Time 0.207 (0.211) Data 0.049 (0.048) Loss 2.2879 (2.2984) Prec@1 46.875 (47.412) Prec@5 71.484 (72.773)
Epoch: [87][3110/5005] Time 0.203 (0.211) Data 0.046 (0.048) Loss 2.1892 (2.2982) Prec@1 48.047 (47.416) Prec@5 76.953 (72.777)
Epoch: [87][3120/5005] Time 0.205 (0.211) Data 0.056 (0.048) Loss 2.3970 (2.2982) Prec@1 43.750 (47.416) Prec@5 73.047 (72.775)
Epoch: [87][3130/5005] Time 0.210 (0.211) Data 0.044 (0.048) Loss 2.4169 (2.2980) Prec@1 41.406 (47.422) Prec@5 73.438 (72.782)
Epoch: [87][3140/5005] Time 0.201 (0.211) Data 0.046 (0.048) Loss 2.0927 (2.2978) Prec@1 50.000 (47.427) Prec@5 75.781 (72.785)
Epoch: [87][3150/5005] Time 0.202 (0.211) Data 0.051 (0.048) Loss 2.2018 (2.2975) Prec@1 52.734 (47.432) Prec@5 72.656 (72.788)
Epoch: [87][3160/5005] Time 0.212 (0.211) Data 0.050 (0.048) Loss 2.1507 (2.2975) Prec@1 50.781 (47.436) Prec@5 77.734 (72.788)
Epoch: [87][3170/5005] Time 0.205 (0.211) Data 0.047 (0.048) Loss 2.2651 (2.2974) Prec@1 47.266 (47.437) Prec@5 74.219 (72.789)
Epoch: [87][3180/5005] Time 0.201 (0.211) Data 0.046 (0.048) Loss 2.1394 (2.2975) Prec@1 54.297 (47.438) Prec@5 73.438 (72.789)
Epoch: [87][3190/5005] Time 0.205 (0.211) Data 0.046 (0.048) Loss 2.1781 (2.2975) Prec@1 45.312 (47.437) Prec@5 76.562 (72.791)
Epoch: [87][3200/5005] Time 0.204 (0.211) Data 0.045 (0.048) Loss 2.3242 (2.2975) Prec@1 44.531 (47.439) Prec@5 72.656 (72.794)
Epoch: [87][3210/5005] Time 0.200 (0.211) Data 0.047 (0.048) Loss 2.4140 (2.2975) Prec@1 43.750 (47.439) Prec@5 70.312 (72.791)
Epoch: [87][3220/5005] Time 0.210 (0.211) Data 0.038 (0.048) Loss 2.4307 (2.2977) Prec@1 47.656 (47.440) Prec@5 69.141 (72.789)
Epoch: [87][3230/5005] Time 0.209 (0.211) Data 0.043 (0.048) Loss 2.2020 (2.2976) Prec@1 51.172 (47.442) Prec@5 72.656 (72.790)
Epoch: [87][3240/5005] Time 0.197 (0.211) Data 0.044 (0.048) Loss 2.4607 (2.2978) Prec@1 44.531 (47.441) Prec@5 68.359 (72.783)
Epoch: [87][3250/5005] Time 0.203 (0.211) Data 0.042 (0.048) Loss 2.2592 (2.2977) Prec@1 48.828 (47.440) Prec@5 73.438 (72.784)
Epoch: [87][3260/5005] Time 0.200 (0.210) Data 0.049 (0.048) Loss 2.2772 (2.2978) Prec@1 49.219 (47.441) Prec@5 73.438 (72.784)
Epoch: [87][3270/5005] Time 0.201 (0.210) Data 0.050 (0.048) Loss 2.2894 (2.2976) Prec@1 49.219 (47.442) Prec@5 69.531 (72.785)
Epoch: [87][3280/5005] Time 0.189 (0.210) Data 0.064 (0.048) Loss 2.2173 (2.2977) Prec@1 49.609 (47.438) Prec@5 73.438 (72.783)
Epoch: [87][3290/5005] Time 0.201 (0.210) Data 0.045 (0.048) Loss 2.3522 (2.2977) Prec@1 48.047 (47.438) Prec@5 69.531 (72.782)
Epoch: [87][3300/5005] Time 0.207 (0.210) Data 0.054 (0.048) Loss 2.2263 (2.2976) Prec@1 48.438 (47.438) Prec@5 72.266 (72.783)
Epoch: [87][3310/5005] Time 0.198 (0.210) Data 0.045 (0.048) Loss 2.2187 (2.2976) Prec@1 47.656 (47.440) Prec@5 72.266 (72.780)
Epoch: [87][3320/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.2210 (2.2975) Prec@1 51.953 (47.443) Prec@5 71.094 (72.781)
Epoch: [87][3330/5005] Time 0.216 (0.210) Data 0.042 (0.048) Loss 2.4409 (2.2977) Prec@1 47.266 (47.443) Prec@5 69.922 (72.779)
Epoch: [87][3340/5005] Time 0.198 (0.210) Data 0.044 (0.048) Loss 2.2937 (2.2977) Prec@1 46.875 (47.445) Prec@5 75.000 (72.781)
Epoch: [87][3350/5005] Time 0.205 (0.210) Data 0.046 (0.048) Loss 2.4988 (2.2976) Prec@1 45.312 (47.446) Prec@5 69.922 (72.783)
Epoch: [87][3360/5005] Time 0.210 (0.210) Data 0.046 (0.048) Loss 2.2071 (2.2976) Prec@1 48.828 (47.446) Prec@5 74.219 (72.783)
Epoch: [87][3370/5005] Time 0.191 (0.210) Data 0.046 (0.048) Loss 2.2337 (2.2977) Prec@1 49.219 (47.446) Prec@5 74.609 (72.782)
Epoch: [87][3380/5005] Time 0.202 (0.210) Data 0.061 (0.048) Loss 2.2373 (2.2976) Prec@1 50.000 (47.447) Prec@5 75.391 (72.782)
Epoch: [87][3390/5005] Time 0.198 (0.210) Data 0.043 (0.048) Loss 2.1988 (2.2978) Prec@1 50.391 (47.444) Prec@5 73.828 (72.778)
Epoch: [87][3400/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.1198 (2.2979) Prec@1 52.344 (47.445) Prec@5 77.344 (72.776)
Epoch: [87][3410/5005] Time 0.207 (0.210) Data 0.052 (0.048) Loss 2.1017 (2.2976) Prec@1 50.781 (47.450) Prec@5 75.781 (72.780)
Epoch: [87][3420/5005] Time 0.198 (0.210) Data 0.055 (0.048) Loss 2.2267 (2.2976) Prec@1 48.828 (47.451) Prec@5 73.828 (72.782)
Epoch: [87][3430/5005] Time 0.214 (0.210) Data 0.041 (0.048) Loss 2.2720 (2.2975) Prec@1 45.703 (47.452) Prec@5 71.484 (72.784)
Epoch: [87][3440/5005] Time 0.196 (0.210) Data 0.046 (0.048) Loss 2.3034 (2.2974) Prec@1 45.312 (47.451) Prec@5 73.047 (72.786)
Epoch: [87][3450/5005] Time 0.207 (0.210) Data 0.050 (0.048) Loss 2.1831 (2.2974) Prec@1 49.219 (47.448) Prec@5 74.609 (72.783)
Epoch: [87][3460/5005] Time 0.206 (0.210) Data 0.046 (0.048) Loss 2.3446 (2.2975) Prec@1 46.875 (47.448) Prec@5 69.922 (72.782)
Epoch: [87][3470/5005] Time 0.207 (0.210) Data 0.053 (0.048) Loss 2.0858 (2.2973) Prec@1 51.562 (47.453) Prec@5 76.953 (72.786)
Epoch: [87][3480/5005] Time 0.214 (0.210) Data 0.048 (0.048) Loss 2.2418 (2.2971) Prec@1 49.609 (47.455) Prec@5 75.781 (72.790)
Epoch: [87][3490/5005] Time 0.206 (0.210) Data 0.039 (0.048) Loss 2.3795 (2.2972) Prec@1 43.750 (47.455) Prec@5 68.359 (72.786)
Epoch: [87][3500/5005] Time 0.220 (0.210) Data 0.041 (0.048) Loss 2.1420 (2.2972) Prec@1 51.953 (47.455) Prec@5 74.609 (72.790)
Epoch: [87][3510/5005] Time 0.216 (0.210) Data 0.042 (0.048) Loss 2.2254 (2.2971) Prec@1 47.266 (47.455) Prec@5 69.531 (72.791)
Epoch: [87][3520/5005] Time 0.209 (0.210) Data 0.061 (0.048) Loss 2.3910 (2.2972) Prec@1 46.875 (47.454) Prec@5 70.703 (72.788)
Epoch: [87][3530/5005] Time 0.202 (0.210) Data 0.047 (0.048) Loss 2.2314 (2.2971) Prec@1 50.781 (47.459) Prec@5 73.438 (72.790)
Epoch: [87][3540/5005] Time 0.213 (0.210) Data 0.047 (0.048) Loss 2.2369 (2.2969) Prec@1 48.438 (47.464) Prec@5 75.000 (72.795)
Epoch: [87][3550/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.3385 (2.2968) Prec@1 46.094 (47.465) Prec@5 72.656 (72.794)
Epoch: [87][3560/5005] Time 0.203 (0.210) Data 0.045 (0.048) Loss 2.3122 (2.2967) Prec@1 48.438 (47.467) Prec@5 73.438 (72.794)
Epoch: [87][3570/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.4358 (2.2968) Prec@1 46.094 (47.464) Prec@5 71.875 (72.792)
Epoch: [87][3580/5005] Time 0.211 (0.210) Data 0.040 (0.048) Loss 2.3218 (2.2970) Prec@1 51.562 (47.459) Prec@5 71.094 (72.790)
Epoch: [87][3590/5005] Time 0.212 (0.210) Data 0.042 (0.048) Loss 2.3100 (2.2966) Prec@1 47.656 (47.466) Prec@5 73.047 (72.797)
Epoch: [87][3600/5005] Time 0.203 (0.210) Data 0.042 (0.048) Loss 2.2886 (2.2964) Prec@1 50.000 (47.470) Prec@5 73.438 (72.799)
Epoch: [87][3610/5005] Time 0.214 (0.210) Data 0.042 (0.048) Loss 2.1312 (2.2964) Prec@1 53.906 (47.472) Prec@5 75.391 (72.799)
Epoch: [87][3620/5005] Time 0.208 (0.210) Data 0.052 (0.048) Loss 2.4502 (2.2961) Prec@1 42.188 (47.481) Prec@5 69.922 (72.802)
Epoch: [87][3630/5005] Time 0.204 (0.210) Data 0.060 (0.048) Loss 2.5061 (2.2960) Prec@1 43.359 (47.480) Prec@5 67.578 (72.802)
Epoch: [87][3640/5005] Time 0.204 (0.210) Data 0.046 (0.048) Loss 2.1785 (2.2960) Prec@1 50.000 (47.479) Prec@5 74.219 (72.800)
Epoch: [87][3650/5005] Time 0.195 (0.210) Data 0.062 (0.048) Loss 2.2127 (2.2961) Prec@1 50.391 (47.475) Prec@5 72.656 (72.799)
Epoch: [87][3660/5005] Time 0.206 (0.210) Data 0.047 (0.048) Loss 2.3448 (2.2958) Prec@1 48.047 (47.478) Prec@5 71.875 (72.804)
Epoch: [87][3670/5005] Time 0.203 (0.210) Data 0.049 (0.048) Loss 2.3796 (2.2959) Prec@1 48.438 (47.476) Prec@5 70.312 (72.802)
Epoch: [87][3680/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.0629 (2.2958) Prec@1 51.953 (47.478) Prec@5 77.734 (72.805)
Epoch: [87][3690/5005] Time 0.211 (0.210) Data 0.042 (0.048) Loss 2.1563 (2.2959) Prec@1 43.359 (47.478) Prec@5 76.562 (72.805)
Epoch: [87][3700/5005] Time 0.206 (0.210) Data 0.048 (0.048) Loss 2.1897 (2.2957) Prec@1 51.953 (47.483) Prec@5 77.344 (72.807)
Epoch: [87][3710/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.2753 (2.2959) Prec@1 48.438 (47.479) Prec@5 70.703 (72.804)
Epoch: [87][3720/5005] Time 0.204 (0.210) Data 0.050 (0.048) Loss 2.4033 (2.2958) Prec@1 45.312 (47.481) Prec@5 71.875 (72.807)
Epoch: [87][3730/5005] Time 0.200 (0.210) Data 0.050 (0.048) Loss 2.2324 (2.2957) Prec@1 49.609 (47.482) Prec@5 76.172 (72.808)
Epoch: [87][3740/5005] Time 0.206 (0.210) Data 0.053 (0.048) Loss 2.1091 (2.2954) Prec@1 53.125 (47.487) Prec@5 76.172 (72.811)
Epoch: [87][3750/5005] Time 0.205 (0.210) Data 0.045 (0.048) Loss 2.1107 (2.2955) Prec@1 50.000 (47.487) Prec@5 76.562 (72.811)
Epoch: [87][3760/5005] Time 0.215 (0.210) Data 0.043 (0.048) Loss 2.3032 (2.2956) Prec@1 48.047 (47.482) Prec@5 70.312 (72.808)
Epoch: [87][3770/5005] Time 0.214 (0.210) Data 0.048 (0.048) Loss 2.2944 (2.2955) Prec@1 49.219 (47.484) Prec@5 71.484 (72.810)
Epoch: [87][3780/5005] Time 0.206 (0.210) Data 0.045 (0.048) Loss 2.2142 (2.2955) Prec@1 48.047 (47.484) Prec@5 73.828 (72.809)
Epoch: [87][3790/5005] Time 0.203 (0.210) Data 0.041 (0.048) Loss 2.3856 (2.2956) Prec@1 49.609 (47.483) Prec@5 72.656 (72.809)
Epoch: [87][3800/5005] Time 0.213 (0.210) Data 0.047 (0.048) Loss 2.2456 (2.2958) Prec@1 44.922 (47.478) Prec@5 76.172 (72.804)
Epoch: [87][3810/5005] Time 0.204 (0.210) Data 0.049 (0.048) Loss 2.2659 (2.2958) Prec@1 45.312 (47.479) Prec@5 71.875 (72.803)
Epoch: [87][3820/5005] Time 0.204 (0.210) Data 0.049 (0.048) Loss 2.2339 (2.2957) Prec@1 44.922 (47.478) Prec@5 76.172 (72.805)
Epoch: [87][3830/5005] Time 0.208 (0.210) Data 0.050 (0.048) Loss 2.3077 (2.2956) Prec@1 44.922 (47.481) Prec@5 70.703 (72.807)
Epoch: [87][3840/5005] Time 0.200 (0.210) Data 0.066 (0.048) Loss 2.5350 (2.2957) Prec@1 40.234 (47.476) Prec@5 66.797 (72.804)
Epoch: [87][3850/5005] Time 0.209 (0.210) Data 0.049 (0.048) Loss 2.2836 (2.2955) Prec@1 47.266 (47.475) Prec@5 71.484 (72.807)
Epoch: [87][3860/5005] Time 0.213 (0.210) Data 0.047 (0.048) Loss 2.0756 (2.2955) Prec@1 55.469 (47.477) Prec@5 77.344 (72.807)
Epoch: [87][3870/5005] Time 0.211 (0.210) Data 0.046 (0.048) Loss 2.1647 (2.2955) Prec@1 51.172 (47.475) Prec@5 73.047 (72.808)
Epoch: [87][3880/5005] Time 0.212 (0.210) Data 0.045 (0.048) Loss 2.1546 (2.2955) Prec@1 53.516 (47.478) Prec@5 73.047 (72.809)
Epoch: [87][3890/5005] Time 0.207 (0.210) Data 0.043 (0.048) Loss 2.4473 (2.2954) Prec@1 42.969 (47.477) Prec@5 73.438 (72.809)
Epoch: [87][3900/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.4438 (2.2955) Prec@1 46.484 (47.477) Prec@5 71.094 (72.809)
Epoch: [87][3910/5005] Time 0.222 (0.210) Data 0.042 (0.048) Loss 2.3496 (2.2955) Prec@1 44.531 (47.475) Prec@5 72.266 (72.810)
Epoch: [87][3920/5005] Time 0.573 (0.210) Data 0.039 (0.048) Loss 2.2325 (2.2956) Prec@1 48.047 (47.475) Prec@5 73.438 (72.805)
Epoch: [87][3930/5005] Time 0.202 (0.210) Data 0.050 (0.048) Loss 2.2078 (2.2954) Prec@1 46.875 (47.475) Prec@5 71.484 (72.808)
Epoch: [87][3940/5005] Time 0.211 (0.210) Data 0.051 (0.048) Loss 2.3189 (2.2954) Prec@1 48.828 (47.471) Prec@5 70.312 (72.807)
Epoch: [87][3950/5005] Time 0.205 (0.210) Data 0.052 (0.048) Loss 2.1676 (2.2953) Prec@1 50.391 (47.473) Prec@5 74.219 (72.808)
Epoch: [87][3960/5005] Time 0.210 (0.210) Data 0.045 (0.048) Loss 2.1748 (2.2953) Prec@1 46.875 (47.473) Prec@5 75.781 (72.808)
Epoch: [87][3970/5005] Time 0.203 (0.210) Data 0.052 (0.048) Loss 2.2258 (2.2952) Prec@1 49.219 (47.474) Prec@5 75.000 (72.810)
Epoch: [87][3980/5005] Time 0.211 (0.210) Data 0.053 (0.048) Loss 2.1383 (2.2952) Prec@1 49.609 (47.474) Prec@5 73.438 (72.809)
Epoch: [87][3990/5005] Time 0.199 (0.210) Data 0.054 (0.048) Loss 2.4304 (2.2953) Prec@1 44.531 (47.471) Prec@5 69.922 (72.808)
Epoch: [87][4000/5005] Time 0.208 (0.210) Data 0.046 (0.048) Loss 2.2002 (2.2953) Prec@1 49.219 (47.469) Prec@5 75.391 (72.808)
Epoch: [87][4010/5005] Time 0.203 (0.210) Data 0.048 (0.048) Loss 2.3896 (2.2952) Prec@1 44.531 (47.471) Prec@5 71.484 (72.809)
Epoch: [87][4020/5005] Time 0.205 (0.210) Data 0.050 (0.048) Loss 2.4149 (2.2952) Prec@1 43.359 (47.468) Prec@5 69.922 (72.806)
Epoch: [87][4030/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.4483 (2.2954) Prec@1 45.703 (47.466) Prec@5 71.484 (72.802)
Epoch: [87][4040/5005] Time 0.209 (0.210) Data 0.046 (0.048) Loss 2.3751 (2.2955) Prec@1 47.656 (47.465) Prec@5 69.922 (72.800)
Epoch: [87][4050/5005] Time 0.200 (0.210) Data 0.041 (0.048) Loss 2.4497 (2.2954) Prec@1 42.578 (47.468) Prec@5 68.750 (72.803)
Epoch: [87][4060/5005] Time 0.208 (0.210) Data 0.042 (0.048) Loss 2.4308 (2.2954) Prec@1 48.438 (47.469) Prec@5 67.969 (72.804)
Epoch: [87][4070/5005] Time 0.215 (0.210) Data 0.045 (0.048) Loss 2.3889 (2.2953) Prec@1 44.531 (47.470) Prec@5 71.875 (72.807)
Epoch: [87][4080/5005] Time 0.204 (0.210) Data 0.068 (0.048) Loss 2.1062 (2.2952) Prec@1 50.000 (47.472) Prec@5 77.734 (72.807)
Epoch: [87][4090/5005] Time 0.209 (0.210) Data 0.053 (0.048) Loss 2.3997 (2.2952) Prec@1 45.312 (47.470) Prec@5 69.141 (72.806)
Epoch: [87][4100/5005] Time 0.217 (0.210) Data 0.044 (0.048) Loss 2.4484 (2.2952) Prec@1 45.312 (47.469) Prec@5 70.312 (72.805)
Epoch: [87][4110/5005] Time 0.208 (0.210) Data 0.045 (0.048) Loss 2.3162 (2.2952) Prec@1 45.312 (47.466) Prec@5 74.609 (72.807)
Epoch: [87][4120/5005] Time 0.220 (0.210) Data 0.041 (0.048) Loss 2.4336 (2.2950) Prec@1 45.312 (47.468) Prec@5 68.750 (72.808)
Epoch: [87][4130/5005] Time 0.204 (0.210) Data 0.052 (0.048) Loss 2.4534 (2.2950) Prec@1 44.922 (47.471) Prec@5 69.531 (72.808)
Epoch: [87][4140/5005] Time 0.204 (0.210) Data 0.056 (0.048) Loss 2.3407 (2.2949) Prec@1 49.219 (47.474) Prec@5 70.703 (72.808)
Epoch: [87][4150/5005] Time 0.201 (0.210) Data 0.047 (0.048) Loss 2.5778 (2.2950) Prec@1 41.797 (47.471) Prec@5 71.484 (72.807)
Epoch: [87][4160/5005] Time 0.200 (0.210) Data 0.046 (0.048) Loss 2.3034 (2.2951) Prec@1 49.219 (47.472) Prec@5 76.953 (72.808)
Epoch: [87][4170/5005] Time 0.211 (0.210) Data 0.045 (0.048) Loss 2.1977 (2.2949) Prec@1 50.000 (47.478) Prec@5 75.781 (72.811)
Epoch: [87][4180/5005] Time 0.207 (0.210) Data 0.048 (0.048) Loss 2.2042 (2.2949) Prec@1 50.781 (47.481) Prec@5 74.219 (72.812)
Epoch: [87][4190/5005] Time 0.200 (0.210) Data 0.047 (0.048) Loss 2.1908 (2.2949) Prec@1 50.781 (47.484) Prec@5 76.562 (72.811)
Epoch: [87][4200/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.1865 (2.2948) Prec@1 47.656 (47.485) Prec@5 73.828 (72.811)
Epoch: [87][4210/5005] Time 0.209 (0.210) Data 0.047 (0.048) Loss 2.0476 (2.2948) Prec@1 50.391 (47.487) Prec@5 78.906 (72.808)
Epoch: [87][4220/5005] Time 0.204 (0.210) Data 0.047 (0.048) Loss 2.4398 (2.2949) Prec@1 46.875 (47.485) Prec@5 73.047 (72.808)
Epoch: [87][4230/5005] Time 0.211 (0.210) Data 0.051 (0.048) Loss 2.2974 (2.2950) Prec@1 47.266 (47.483) Prec@5 72.656 (72.805)
Epoch: [87][4240/5005] Time 0.208 (0.210) Data 0.057 (0.048) Loss 2.0986 (2.2950) Prec@1 49.219 (47.481) Prec@5 76.953 (72.809)
Epoch: [87][4250/5005] Time 0.202 (0.210) Data 0.052 (0.048) Loss 2.2580 (2.2949) Prec@1 48.438 (47.482) Prec@5 71.094 (72.809)
Epoch: [87][4260/5005] Time 0.207 (0.210) Data 0.043 (0.048) Loss 2.2993 (2.2949) Prec@1 42.969 (47.482) Prec@5 72.266 (72.807)
Epoch: [87][4270/5005] Time 0.205 (0.210) Data 0.040 (0.048) Loss 2.4447 (2.2950) Prec@1 46.094 (47.480) Prec@5 71.094 (72.806)
Epoch: [87][4280/5005] Time 0.204 (0.210) Data 0.045 (0.048) Loss 2.3552 (2.2949) Prec@1 45.312 (47.480) Prec@5 71.875 (72.806)
Epoch: [87][4290/5005] Time 0.203 (0.210) Data 0.046 (0.048) Loss 2.5161 (2.2950) Prec@1 44.531 (47.478) Prec@5 66.016 (72.803)
Epoch: [87][4300/5005] Time 0.208 (0.210) Data 0.054 (0.048) Loss 2.0959 (2.2949) Prec@1 50.000 (47.480) Prec@5 79.297 (72.806)
Epoch: [87][4310/5005] Time 0.195 (0.210) Data 0.063 (0.048) Loss 2.2415 (2.2948) Prec@1 48.828 (47.480) Prec@5 73.828 (72.804)
Epoch: [87][4320/5005] Time 0.213 (0.210) Data 0.048 (0.048) Loss 2.2830 (2.2948) Prec@1 46.875 (47.481) Prec@5 70.312 (72.806)
Epoch: [87][4330/5005] Time 0.216 (0.210) Data 0.047 (0.048) Loss 2.0999 (2.2947) Prec@1 49.219 (47.483) Prec@5 75.391 (72.807)
Epoch: [87][4340/5005] Time 0.194 (0.210) Data 0.050 (0.048) Loss 2.2326 (2.2948) Prec@1 47.266 (47.481) Prec@5 72.266 (72.808)
Epoch: [87][4350/5005] Time 0.206 (0.210) Data 0.044 (0.048) Loss 2.3359 (2.2948) Prec@1 51.562 (47.481) Prec@5 73.047 (72.809)
Epoch: [87][4360/5005] Time 0.204 (0.210) Data 0.051 (0.048) Loss 2.1321 (2.2947) Prec@1 50.000 (47.483) Prec@5 74.609 (72.811)
Epoch: [87][4370/5005] Time 0.203 (0.210) Data 0.049 (0.048) Loss 2.2349 (2.2948) Prec@1 48.828 (47.481) Prec@5 76.172 (72.810)
Epoch: [87][4380/5005] Time 0.196 (0.210) Data 0.041 (0.048) Loss 2.3288 (2.2949) Prec@1 46.875 (47.481) Prec@5 73.438 (72.810)
Epoch: [87][4390/5005] Time 0.205 (0.210) Data 0.042 (0.048) Loss 2.2082 (2.2947) Prec@1 49.609 (47.485) Prec@5 75.781 (72.811)
Epoch: [87][4400/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.3269 (2.2948) Prec@1 46.875 (47.485) Prec@5 69.141 (72.810)
Epoch: [87][4410/5005] Time 0.205 (0.210) Data 0.045 (0.048) Loss 2.1731 (2.2947) Prec@1 49.219 (47.484) Prec@5 73.438 (72.810)
Epoch: [87][4420/5005] Time 0.206 (0.210) Data 0.042 (0.048) Loss 1.8771 (2.2946) Prec@1 51.953 (47.486) Prec@5 79.297 (72.813)
Epoch: [87][4430/5005] Time 0.224 (0.210) Data 0.046 (0.048) Loss 2.1879 (2.2943) Prec@1 45.703 (47.491) Prec@5 75.391 (72.817)
Epoch: [87][4440/5005] Time 0.210 (0.210) Data 0.042 (0.048) Loss 2.2758 (2.2944) Prec@1 45.703 (47.490) Prec@5 73.047 (72.815)
Epoch: [87][4450/5005] Time 0.213 (0.210) Data 0.045 (0.048) Loss 2.1087 (2.2944) Prec@1 50.391 (47.490) Prec@5 74.609 (72.816)
Epoch: [87][4460/5005] Time 0.209 (0.210) Data 0.044 (0.048) Loss 2.3385 (2.2943) Prec@1 44.531 (47.489) Prec@5 71.875 (72.817)
Epoch: [87][4470/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.2853 (2.2944) Prec@1 48.047 (47.489) Prec@5 73.047 (72.818)
Epoch: [87][4480/5005] Time 0.203 (0.210) Data 0.043 (0.048) Loss 2.0042 (2.2945) Prec@1 50.000 (47.487) Prec@5 76.172 (72.817)
Epoch: [87][4490/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.2969 (2.2945) Prec@1 46.484 (47.488) Prec@5 71.094 (72.817)
Epoch: [87][4500/5005] Time 0.213 (0.210) Data 0.046 (0.048) Loss 2.3030 (2.2945) Prec@1 50.000 (47.490) Prec@5 75.391 (72.817)
Epoch: [87][4510/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.1017 (2.2945) Prec@1 50.000 (47.488) Prec@5 74.609 (72.816)
Epoch: [87][4520/5005] Time 0.205 (0.210) Data 0.046 (0.048) Loss 2.1491 (2.2943) Prec@1 50.781 (47.491) Prec@5 74.219 (72.819)
Epoch: [87][4530/5005] Time 0.213 (0.210) Data 0.042 (0.048) Loss 2.1814 (2.2942) Prec@1 51.562 (47.494) Prec@5 75.000 (72.820)
Epoch: [87][4540/5005] Time 0.216 (0.210) Data 0.044 (0.048) Loss 2.3074 (2.2943) Prec@1 47.266 (47.492) Prec@5 76.562 (72.819)
Epoch: [87][4550/5005] Time 0.212 (0.210) Data 0.046 (0.048) Loss 2.4482 (2.2943) Prec@1 45.312 (47.491) Prec@5 69.141 (72.820)
Epoch: [87][4560/5005] Time 0.196 (0.210) Data 0.041 (0.048) Loss 2.1332 (2.2941) Prec@1 50.391 (47.496) Prec@5 75.391 (72.823)
Epoch: [87][4570/5005] Time 0.209 (0.210) Data 0.042 (0.048) Loss 2.3836 (2.2941) Prec@1 47.656 (47.496) Prec@5 69.141 (72.820)
Epoch: [87][4580/5005] Time 0.199 (0.210) Data 0.049 (0.048) Loss 2.3584 (2.2940) Prec@1 40.625 (47.498) Prec@5 71.484 (72.823)
Epoch: [87][4590/5005] Time 0.202 (0.210) Data 0.046 (0.048) Loss 2.1383 (2.2942) Prec@1 50.781 (47.496) Prec@5 74.219 (72.822)
Epoch: [87][4600/5005] Time 0.211 (0.210) Data 0.048 (0.048) Loss 2.0631 (2.2942) Prec@1 53.125 (47.496) Prec@5 77.734 (72.822)
Epoch: [87][4610/5005] Time 0.205 (0.210) Data 0.058 (0.048) Loss 2.1507 (2.2942) Prec@1 46.875 (47.497) Prec@5 76.172 (72.821)
Epoch: [87][4620/5005] Time 0.203 (0.210) Data 0.050 (0.048) Loss 2.2731 (2.2942) Prec@1 50.000 (47.499) Prec@5 72.266 (72.820)
Epoch: [87][4630/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.0902 (2.2941) Prec@1 53.906 (47.501) Prec@5 75.391 (72.820)
Epoch: [87][4640/5005] Time 0.203 (0.210) Data 0.052 (0.048) Loss 2.2959 (2.2940) Prec@1 45.703 (47.500) Prec@5 72.656 (72.819)
Epoch: [87][4650/5005] Time 0.198 (0.210) Data 0.047 (0.048) Loss 2.3255 (2.2940) Prec@1 46.094 (47.502) Prec@5 67.969 (72.819)
Epoch: [87][4660/5005] Time 0.207 (0.210) Data 0.052 (0.048) Loss 2.5939 (2.2941) Prec@1 42.578 (47.502) Prec@5 65.625 (72.816)
Epoch: [87][4670/5005] Time 0.207 (0.210) Data 0.043 (0.048) Loss 2.2583 (2.2940) Prec@1 46.484 (47.502) Prec@5 71.484 (72.819)
Epoch: [87][4680/5005] Time 0.206 (0.210) Data 0.047 (0.048) Loss 2.1676 (2.2940) Prec@1 48.828 (47.502) Prec@5 74.609 (72.820)
Epoch: [87][4690/5005] Time 0.218 (0.210) Data 0.042 (0.048) Loss 2.3027 (2.2940) Prec@1 45.703 (47.500) Prec@5 71.484 (72.819)
Epoch: [87][4700/5005] Time 0.204 (0.210) Data 0.052 (0.048) Loss 2.1964 (2.2939) Prec@1 50.000 (47.504) Prec@5 76.953 (72.821)
Epoch: [87][4710/5005] Time 0.207 (0.210) Data 0.052 (0.048) Loss 2.1716 (2.2936) Prec@1 51.562 (47.510) Prec@5 73.828 (72.825)
Epoch: [87][4720/5005] Time 0.207 (0.210) Data 0.043 (0.048) Loss 2.2117 (2.2937) Prec@1 51.953 (47.509) Prec@5 72.656 (72.823)
Epoch: [87][4730/5005] Time 0.202 (0.210) Data 0.048 (0.048) Loss 2.2383 (2.2938) Prec@1 48.047 (47.505) Prec@5 73.438 (72.824)
Epoch: [87][4740/5005] Time 0.209 (0.210) Data 0.057 (0.048) Loss 2.2132 (2.2937) Prec@1 47.266 (47.507) Prec@5 75.391 (72.826)
Epoch: [87][4750/5005] Time 0.209 (0.210) Data 0.062 (0.048) Loss 2.0950 (2.2936) Prec@1 53.516 (47.509) Prec@5 75.000 (72.827)
Epoch: [87][4760/5005] Time 0.204 (0.210) Data 0.052 (0.048) Loss 2.4920 (2.2935) Prec@1 43.750 (47.510) Prec@5 69.531 (72.829)
Epoch: [87][4770/5005] Time 0.201 (0.210) Data 0.051 (0.048) Loss 2.1784 (2.2934) Prec@1 51.953 (47.513) Prec@5 77.344 (72.831)
Epoch: [87][4780/5005] Time 0.210 (0.209) Data 0.042 (0.048) Loss 2.4587 (2.2935) Prec@1 45.703 (47.514) Prec@5 71.875 (72.831)
Epoch: [87][4790/5005] Time 0.217 (0.209) Data 0.042 (0.048) Loss 2.5218 (2.2936) Prec@1 48.438 (47.513) Prec@5 68.359 (72.831)
Epoch: [87][4800/5005] Time 0.208 (0.209) Data 0.062 (0.048) Loss 2.3945 (2.2934) Prec@1 44.141 (47.514) Prec@5 70.703 (72.837)
Epoch: [87][4810/5005] Time 0.209 (0.209) Data 0.045 (0.048) Loss 2.5232 (2.2934) Prec@1 44.531 (47.513) Prec@5 68.359 (72.836)
Epoch: [87][4820/5005] Time 0.202 (0.209) Data 0.046 (0.048) Loss 2.3878 (2.2934) Prec@1 44.141 (47.513) Prec@5 69.141 (72.835)
Epoch: [87][4830/5005] Time 0.206 (0.209) Data 0.045 (0.048) Loss 2.3793 (2.2933) Prec@1 47.266 (47.517) Prec@5 72.266 (72.837)
Epoch: [87][4840/5005] Time 0.216 (0.209) Data 0.048 (0.048) Loss 2.1405 (2.2933) Prec@1 48.828 (47.517) Prec@5 74.219 (72.838)
Epoch: [87][4850/5005] Time 0.208 (0.209) Data 0.046 (0.048) Loss 2.4503 (2.2934) Prec@1 46.875 (47.517) Prec@5 67.578 (72.836)
Epoch: [87][4860/5005] Time 0.211 (0.209) Data 0.044 (0.048) Loss 2.2890 (2.2934) Prec@1 45.312 (47.517) Prec@5 76.562 (72.835)
Epoch: [87][4870/5005] Time 0.203 (0.209) Data 0.048 (0.048) Loss 2.1692 (2.2934) Prec@1 53.125 (47.518) Prec@5 73.047 (72.833)
Epoch: [87][4880/5005] Time 0.212 (0.209) Data 0.060 (0.048) Loss 2.1675 (2.2933) Prec@1 49.609 (47.519) Prec@5 74.609 (72.835)
Epoch: [87][4890/5005] Time 0.208 (0.209) Data 0.046 (0.048) Loss 2.2972 (2.2932) Prec@1 45.312 (47.519) Prec@5 72.266 (72.838)
Epoch: [87][4900/5005] Time 0.211 (0.209) Data 0.050 (0.048) Loss 2.1978 (2.2931) Prec@1 48.438 (47.521) Prec@5 75.000 (72.840)
Epoch: [87][4910/5005] Time 0.203 (0.209) Data 0.043 (0.048) Loss 2.4278 (2.2929) Prec@1 46.094 (47.524) Prec@5 69.531 (72.841)
Epoch: [87][4920/5005] Time 0.211 (0.209) Data 0.044 (0.048) Loss 2.2078 (2.2930) Prec@1 47.266 (47.524) Prec@5 75.781 (72.840)
Epoch: [87][4930/5005] Time 0.216 (0.209) Data 0.045 (0.048) Loss 2.4953 (2.2929) Prec@1 44.922 (47.524) Prec@5 69.531 (72.841)
Epoch: [87][4940/5005] Time 0.203 (0.209) Data 0.049 (0.048) Loss 2.3006 (2.2929) Prec@1 46.094 (47.525) Prec@5 72.656 (72.841)
Epoch: [87][4950/5005] Time 0.217 (0.209) Data 0.046 (0.048) Loss 1.9553 (2.2929) Prec@1 55.859 (47.524) Prec@5 77.734 (72.841)
Epoch: [87][4960/5005] Time 0.200 (0.209) Data 0.048 (0.048) Loss 2.3154 (2.2929) Prec@1 47.266 (47.526) Prec@5 74.219 (72.842)
Epoch: [87][4970/5005] Time 0.203 (0.209) Data 0.046 (0.048) Loss 2.4320 (2.2928) Prec@1 44.141 (47.527) Prec@5 71.875 (72.844)
Epoch: [87][4980/5005] Time 0.205 (0.209) Data 0.047 (0.048) Loss 2.2943 (2.2926) Prec@1 47.266 (47.529) Prec@5 74.219 (72.849)
Epoch: [87][4990/5005] Time 0.200 (0.209) Data 0.031 (0.048) Loss 2.3386 (2.2926) Prec@1 45.703 (47.531) Prec@5 70.703 (72.848)
Epoch: [87][5000/5005] Time 0.205 (0.209) Data 0.021 (0.048) Loss 2.4177 (2.2926) Prec@1 44.141 (47.528) Prec@5 71.875 (72.849)
Test: [0/196] Time 1.464 (1.464) Loss 2.3388 (2.3388) Prec@1 52.734 (52.734) Prec@5 70.703 (70.703)
Test: [10/196] Time 0.044 (0.264) Loss 2.4912 (2.5469) Prec@1 45.312 (44.070) Prec@5 71.094 (69.283)
Test: [20/196] Time 0.044 (0.247) Loss 2.4256 (2.5473) Prec@1 47.656 (44.308) Prec@5 70.703 (69.010)
Test: [30/196] Time 0.044 (0.233) Loss 2.4655 (2.5473) Prec@1 42.969 (44.267) Prec@5 71.094 (68.788)
Test: [40/196] Time 0.044 (0.202) Loss 2.2596 (2.5430) Prec@1 53.516 (44.350) Prec@5 72.656 (68.912)
Test: [50/196] Time 0.052 (0.203) Loss 2.6262 (2.5459) Prec@1 44.922 (44.378) Prec@5 70.703 (68.934)
Test: [60/196] Time 0.469 (0.198) Loss 2.4758 (2.5324) Prec@1 48.047 (44.602) Prec@5 69.141 (69.173)
Test: [70/196] Time 0.044 (0.193) Loss 2.5198 (2.5256) Prec@1 46.094 (44.570) Prec@5 68.359 (69.278)
Test: [80/196] Time 0.044 (0.188) Loss 2.3780 (2.5315) Prec@1 51.953 (44.551) Prec@5 75.000 (69.285)
Test: [90/196] Time 0.122 (0.185) Loss 2.6622 (2.5351) Prec@1 45.703 (44.561) Prec@5 66.016 (69.244)
Test: [100/196] Time 0.496 (0.191) Loss 2.5741 (2.5305) Prec@1 47.266 (44.790) Prec@5 67.969 (69.377)
Test: [110/196] Time 0.042 (0.185) Loss 2.7291 (2.5331) Prec@1 42.578 (44.767) Prec@5 66.406 (69.422)
Test: [120/196] Time 0.041 (0.183) Loss 2.3725 (2.5297) Prec@1 42.578 (44.812) Prec@5 73.828 (69.486)
Test: [130/196] Time 0.163 (0.184) Loss 2.2182 (2.5262) Prec@1 50.391 (44.850) Prec@5 76.562 (69.552)
Test: [140/196] Time 0.270 (0.183) Loss 2.3292 (2.5274) Prec@1 50.000 (44.797) Prec@5 70.703 (69.534)
Test: [150/196] Time 0.041 (0.182) Loss 2.1826 (2.5267) Prec@1 50.000 (44.774) Prec@5 79.297 (69.570)
Test: [160/196] Time 0.174 (0.181) Loss 2.4351 (2.5250) Prec@1 50.000 (44.822) Prec@5 73.047 (69.580)
Test: [170/196] Time 0.769 (0.183) Loss 2.4558 (2.5273) Prec@1 46.094 (44.828) Prec@5 71.875 (69.536)
Test: [180/196] Time 0.263 (0.183) Loss 2.7479 (2.5328) Prec@1 40.625 (44.663) Prec@5 66.016 (69.423)
Test: [190/196] Time 0.192 (0.182) Loss 2.7422 (2.5358) Prec@1 43.750 (44.580) Prec@5 67.578 (69.376)
* Prec@1 44.570 Prec@5 69.376
Learning rate: 1e-06
Epoch: [88][0/5005] Time 1.133 (1.133) Data 1.028 (1.028) Loss 2.2189 (2.2189) Prec@1 46.484 (46.484) Prec@5 73.438 (73.438)
Epoch: [88][10/5005] Time 0.203 (0.289) Data 0.052 (0.142) Loss 2.0875 (2.2743) Prec@1 54.297 (47.763) Prec@5 77.344 (73.473)
Epoch: [88][20/5005] Time 0.208 (0.247) Data 0.050 (0.099) Loss 2.5479 (2.3025) Prec@1 44.531 (47.396) Prec@5 69.922 (73.251)
Epoch: [88][30/5005] Time 0.206 (0.232) Data 0.041 (0.084) Loss 2.1521 (2.2705) Prec@1 51.562 (47.870) Prec@5 76.562 (73.639)
Epoch: [88][40/5005] Time 0.208 (0.226) Data 0.044 (0.074) Loss 2.3685 (2.2818) Prec@1 44.531 (47.418) Prec@5 70.703 (73.476)
Epoch: [88][50/5005] Time 0.200 (0.221) Data 0.039 (0.068) Loss 2.1857 (2.2869) Prec@1 49.219 (47.097) Prec@5 73.828 (73.392)
Epoch: [88][60/5005] Time 0.208 (0.218) Data 0.045 (0.064) Loss 2.3641 (2.2940) Prec@1 48.828 (47.291) Prec@5 71.875 (73.111)
Epoch: [88][70/5005] Time 0.202 (0.216) Data 0.046 (0.061) Loss 2.2771 (2.3064) Prec@1 48.047 (47.189) Prec@5 71.875 (72.887)
Epoch: [88][80/5005] Time 0.200 (0.215) Data 0.044 (0.059) Loss 2.1452 (2.3030) Prec@1 50.000 (47.266) Prec@5 76.172 (72.907)
Epoch: [88][90/5005] Time 0.197 (0.213) Data 0.041 (0.057) Loss 2.3055 (2.3018) Prec@1 50.781 (47.360) Prec@5 74.219 (72.961)
Epoch: [88][100/5005] Time 0.196 (0.212) Data 0.043 (0.056) Loss 2.1354 (2.3024) Prec@1 51.172 (47.324) Prec@5 73.438 (72.788)
Epoch: [88][110/5005] Time 0.206 (0.211) Data 0.045 (0.055) Loss 2.4615 (2.3021) Prec@1 46.875 (47.466) Prec@5 69.922 (72.804)
Epoch: [88][120/5005] Time 0.201 (0.211) Data 0.044 (0.054) Loss 2.3850 (2.3054) Prec@1 42.969 (47.398) Prec@5 71.094 (72.676)
Epoch: [88][130/5005] Time 0.208 (0.210) Data 0.042 (0.053) Loss 2.4248 (2.3073) Prec@1 48.828 (47.453) Prec@5 67.578 (72.632)
Epoch: [88][140/5005] Time 0.207 (0.210) Data 0.044 (0.053) Loss 2.4140 (2.3064) Prec@1 43.750 (47.363) Prec@5 70.703 (72.631)
Epoch: [88][150/5005] Time 0.209 (0.210) Data 0.042 (0.052) Loss 2.3949 (2.3086) Prec@1 47.656 (47.335) Prec@5 68.750 (72.638)
Epoch: [88][160/5005] Time 0.205 (0.210) Data 0.055 (0.052) Loss 2.2113 (2.3096) Prec@1 48.438 (47.309) Prec@5 72.266 (72.566)
Epoch: [88][170/5005] Time 0.220 (0.210) Data 0.060 (0.052) Loss 2.3412 (2.3098) Prec@1 49.219 (47.291) Prec@5 72.266 (72.576)
Epoch: [88][180/5005] Time 0.212 (0.210) Data 0.048 (0.052) Loss 2.6346 (2.3102) Prec@1 46.484 (47.358) Prec@5 66.797 (72.566)
Epoch: [88][190/5005] Time 0.226 (0.210) Data 0.044 (0.051) Loss 2.5509 (2.3154) Prec@1 46.875 (47.280) Prec@5 70.312 (72.454)
Epoch: [88][200/5005] Time 0.221 (0.211) Data 0.052 (0.051) Loss 2.4927 (2.3163) Prec@1 43.359 (47.260) Prec@5 71.094 (72.464)
Epoch: [88][210/5005] Time 0.224 (0.211) Data 0.052 (0.051) Loss 2.2179 (2.3165) Prec@1 49.609 (47.277) Prec@5 71.875 (72.462)
Epoch: [88][220/5005] Time 0.218 (0.211) Data 0.051 (0.051) Loss 2.3338 (2.3148) Prec@1 48.438 (47.313) Prec@5 72.656 (72.504)
Epoch: [88][230/5005] Time 0.214 (0.212) Data 0.054 (0.051) Loss 2.3228 (2.3153) Prec@1 46.094 (47.335) Prec@5 75.391 (72.538)
Epoch: [88][240/5005] Time 0.228 (0.212) Data 0.046 (0.051) Loss 2.2592 (2.3137) Prec@1 47.266 (47.329) Prec@5 71.875 (72.538)
Epoch: [88][250/5005] Time 0.222 (0.212) Data 0.043 (0.051) Loss 2.4155 (2.3120) Prec@1 46.875 (47.361) Prec@5 73.438 (72.575)
Epoch: [88][260/5005] Time 0.229 (0.212) Data 0.048 (0.051) Loss 2.1070 (2.3110) Prec@1 50.000 (47.406) Prec@5 76.562 (72.595)
Epoch: [88][270/5005] Time 0.218 (0.212) Data 0.055 (0.051) Loss 2.3552 (2.3101) Prec@1 44.922 (47.433) Prec@5 72.266 (72.597)
Epoch: [88][280/5005] Time 0.216 (0.213) Data 0.045 (0.051) Loss 2.7013 (2.3117) Prec@1 41.797 (47.417) Prec@5 66.797 (72.578)
Epoch: [88][290/5005] Time 0.212 (0.213) Data 0.043 (0.051) Loss 2.2710 (2.3126) Prec@1 51.562 (47.412) Prec@5 70.312 (72.537)
Epoch: [88][300/5005] Time 0.217 (0.213) Data 0.042 (0.051) Loss 2.1279 (2.3118) Prec@1 50.000 (47.404) Prec@5 75.391 (72.529)
Epoch: [88][310/5005] Time 0.215 (0.213) Data 0.043 (0.051) Loss 2.1856 (2.3097) Prec@1 49.219 (47.455) Prec@5 76.562 (72.555)
Epoch: [88][320/5005] Time 0.219 (0.213) Data 0.043 (0.050) Loss 2.5456 (2.3112) Prec@1 43.359 (47.449) Prec@5 67.969 (72.514)
Epoch: [88][330/5005] Time 0.213 (0.213) Data 0.055 (0.050) Loss 2.1080 (2.3101) Prec@1 51.562 (47.495) Prec@5 76.953 (72.554)
Epoch: [88][340/5005] Time 0.215 (0.213) Data 0.042 (0.050) Loss 2.3814 (2.3131) Prec@1 48.828 (47.436) Prec@5 72.266 (72.481)
Epoch: [88][350/5005] Time 0.218 (0.213) Data 0.045 (0.050) Loss 2.4690 (2.3133) Prec@1 40.625 (47.411) Prec@5 68.359 (72.478)
Epoch: [88][360/5005] Time 0.227 (0.213) Data 0.048 (0.050) Loss 2.2715 (2.3135) Prec@1 45.312 (47.390) Prec@5 73.047 (72.458)
Epoch: [88][370/5005] Time 0.212 (0.213) Data 0.047 (0.050) Loss 2.4067 (2.3109) Prec@1 42.578 (47.424) Prec@5 69.922 (72.498)
Epoch: [88][380/5005] Time 0.219 (0.213) Data 0.043 (0.050) Loss 2.4780 (2.3114) Prec@1 43.359 (47.393) Prec@5 68.750 (72.506)
Epoch: [88][390/5005] Time 0.209 (0.213) Data 0.043 (0.050) Loss 2.1832 (2.3115) Prec@1 52.344 (47.424) Prec@5 76.172 (72.504)
Epoch: [88][400/5005] Time 0.211 (0.213) Data 0.052 (0.050) Loss 2.2150 (2.3105) Prec@1 43.359 (47.411) Prec@5 72.266 (72.502)
Epoch: [88][410/5005] Time 0.219 (0.213) Data 0.045 (0.050) Loss 2.0636 (2.3091) Prec@1 47.266 (47.435) Prec@5 76.953 (72.541)
Epoch: [88][420/5005] Time 0.217 (0.214) Data 0.045 (0.050) Loss 2.1733 (2.3085) Prec@1 48.047 (47.461) Prec@5 75.000 (72.555)
Epoch: [88][430/5005] Time 0.216 (0.214) Data 0.044 (0.050) Loss 2.1778 (2.3084) Prec@1 52.734 (47.455) Prec@5 75.781 (72.566)
Epoch: [88][440/5005] Time 0.214 (0.214) Data 0.042 (0.050) Loss 2.2089 (2.3069) Prec@1 48.438 (47.450) Prec@5 73.047 (72.591)
Epoch: [88][450/5005] Time 0.214 (0.214) Data 0.043 (0.049) Loss 2.1347 (2.3079) Prec@1 46.094 (47.418) Prec@5 75.391 (72.566)
Epoch: [88][460/5005] Time 0.212 (0.214) Data 0.043 (0.049) Loss 2.2825 (2.3080) Prec@1 44.922 (47.397) Prec@5 73.828 (72.585)
Epoch: [88][470/5005] Time 0.214 (0.214) Data 0.043 (0.049) Loss 2.2650 (2.3088) Prec@1 45.312 (47.377) Prec@5 71.094 (72.555)
Epoch: [88][480/5005] Time 0.219 (0.214) Data 0.042 (0.049) Loss 2.2217 (2.3086) Prec@1 49.219 (47.380) Prec@5 75.391 (72.573)
Epoch: [88][490/5005] Time 0.217 (0.214) Data 0.044 (0.049) Loss 2.2573 (2.3087) Prec@1 50.000 (47.354) Prec@5 74.219 (72.568)
Epoch: [88][500/5005] Time 0.213 (0.214) Data 0.055 (0.049) Loss 2.4606 (2.3110) Prec@1 45.312 (47.345) Prec@5 69.922 (72.535)
Epoch: [88][510/5005] Time 0.211 (0.214) Data 0.051 (0.049) Loss 2.5949 (2.3109) Prec@1 40.234 (47.347) Prec@5 68.750 (72.532)
Epoch: [88][520/5005] Time 0.206 (0.214) Data 0.052 (0.049) Loss 2.3567 (2.3109) Prec@1 44.922 (47.342) Prec@5 73.047 (72.533)
Epoch: [88][530/5005] Time 0.212 (0.214) Data 0.049 (0.049) Loss 2.2724 (2.3115) Prec@1 48.047 (47.316) Prec@5 71.484 (72.528)
Epoch: [88][540/5005] Time 0.210 (0.214) Data 0.043 (0.049) Loss 2.4864 (2.3121) Prec@1 44.531 (47.301) Prec@5 70.312 (72.512)
Epoch: [88][550/5005] Time 0.212 (0.214) Data 0.045 (0.049) Loss 2.1384 (2.3117) Prec@1 48.047 (47.312) Prec@5 79.688 (72.513)
Epoch: [88][560/5005] Time 0.213 (0.214) Data 0.043 (0.049) Loss 2.4376 (2.3117) Prec@1 43.750 (47.305) Prec@5 69.531 (72.522)
Epoch: [88][570/5005] Time 0.218 (0.214) Data 0.040 (0.049) Loss 2.4103 (2.3132) Prec@1 43.359 (47.286) Prec@5 71.094 (72.495)
Epoch: [88][580/5005] Time 0.217 (0.214) Data 0.043 (0.049) Loss 2.4472 (2.3132) Prec@1 46.875 (47.282) Prec@5 68.750 (72.496)
Epoch: [88][590/5005] Time 0.221 (0.214) Data 0.043 (0.049) Loss 2.4256 (2.3138) Prec@1 44.531 (47.262) Prec@5 69.531 (72.490)
Epoch: [88][600/5005] Time 0.208 (0.214) Data 0.046 (0.049) Loss 2.2293 (2.3152) Prec@1 47.656 (47.240) Prec@5 72.266 (72.478)
Epoch: [88][610/5005] Time 0.215 (0.214) Data 0.043 (0.049) Loss 2.2354 (2.3156) Prec@1 47.266 (47.234) Prec@5 73.438 (72.459)
Epoch: [88][620/5005] Time 0.218 (0.214) Data 0.045 (0.048) Loss 2.3699 (2.3159) Prec@1 46.094 (47.245) Prec@5 72.656 (72.454)
Epoch: [88][630/5005] Time 0.209 (0.214) Data 0.055 (0.049) Loss 2.6711 (2.3166) Prec@1 42.969 (47.235) Prec@5 67.969 (72.449)
Epoch: [88][640/5005] Time 0.211 (0.214) Data 0.048 (0.048) Loss 2.2168 (2.3165) Prec@1 48.828 (47.225) Prec@5 72.266 (72.447)
Epoch: [88][650/5005] Time 0.212 (0.214) Data 0.046 (0.048) Loss 2.5121 (2.3175) Prec@1 41.016 (47.198) Prec@5 67.578 (72.428)
Epoch: [88][660/5005] Time 0.206 (0.214) Data 0.041 (0.048) Loss 2.5009 (2.3169) Prec@1 44.141 (47.211) Prec@5 69.531 (72.436)
Epoch: [88][670/5005] Time 0.222 (0.214) Data 0.047 (0.048) Loss 2.4793 (2.3167) Prec@1 42.969 (47.231) Prec@5 73.828 (72.440)
Epoch: [88][680/5005] Time 0.221 (0.214) Data 0.048 (0.048) Loss 2.2378 (2.3167) Prec@1 48.047 (47.216) Prec@5 76.172 (72.438)
Epoch: [88][690/5005] Time 0.208 (0.214) Data 0.041 (0.048) Loss 2.1777 (2.3165) Prec@1 47.266 (47.206) Prec@5 74.219 (72.438)
Epoch: [88][700/5005] Time 0.212 (0.214) Data 0.048 (0.048) Loss 2.4754 (2.3164) Prec@1 43.750 (47.200) Prec@5 71.875 (72.436)
Epoch: [88][710/5005] Time 0.210 (0.214) Data 0.042 (0.048) Loss 2.1802 (2.3162) Prec@1 48.438 (47.206) Prec@5 73.828 (72.433)
Epoch: [88][720/5005] Time 0.212 (0.214) Data 0.052 (0.048) Loss 2.2657 (2.3159) Prec@1 44.922 (47.204) Prec@5 74.219 (72.436)
Epoch: [88][730/5005] Time 0.218 (0.214) Data 0.051 (0.048) Loss 2.4627 (2.3160) Prec@1 46.094 (47.209) Prec@5 68.359 (72.424)
Epoch: [88][740/5005] Time 0.209 (0.214) Data 0.050 (0.048) Loss 2.4834 (2.3161) Prec@1 44.531 (47.222) Prec@5 69.531 (72.408)
Epoch: [88][750/5005] Time 0.210 (0.214) Data 0.048 (0.048) Loss 2.1769 (2.3158) Prec@1 49.609 (47.228) Prec@5 72.656 (72.418)
Epoch: [88][760/5005] Time 0.219 (0.213) Data 0.048 (0.048) Loss 2.4003 (2.3161) Prec@1 43.359 (47.214) Prec@5 73.438 (72.417)
Epoch: [88][770/5005] Time 0.203 (0.213) Data 0.046 (0.048) Loss 2.2575 (2.3145) Prec@1 46.484 (47.237) Prec@5 75.000 (72.456)
Epoch: [88][780/5005] Time 0.201 (0.213) Data 0.049 (0.048) Loss 2.3567 (2.3144) Prec@1 45.312 (47.230) Prec@5 67.969 (72.452)
Epoch: [88][790/5005] Time 0.209 (0.214) Data 0.049 (0.048) Loss 2.1635 (2.3139) Prec@1 47.656 (47.233) Prec@5 73.047 (72.468)
Epoch: [88][800/5005] Time 0.219 (0.214) Data 0.046 (0.048) Loss 2.1519 (2.3133) Prec@1 46.484 (47.243) Prec@5 77.734 (72.465)
Epoch: [88][810/5005] Time 0.214 (0.213) Data 0.053 (0.048) Loss 2.3577 (2.3132) Prec@1 46.484 (47.246) Prec@5 72.266 (72.470)
Epoch: [88][820/5005] Time 0.208 (0.213) Data 0.046 (0.048) Loss 2.5172 (2.3138) Prec@1 42.188 (47.229) Prec@5 69.922 (72.463)
Epoch: [88][830/5005] Time 0.216 (0.213) Data 0.038 (0.048) Loss 2.2825 (2.3138) Prec@1 48.828 (47.242) Prec@5 71.875 (72.459)
Epoch: [88][840/5005] Time 0.215 (0.213) Data 0.042 (0.048) Loss 2.2723 (2.3138) Prec@1 48.047 (47.250) Prec@5 70.312 (72.458)
Epoch: [88][850/5005] Time 0.214 (0.213) Data 0.041 (0.048) Loss 2.5949 (2.3139) Prec@1 42.969 (47.251) Prec@5 71.875 (72.464)
Epoch: [88][860/5005] Time 0.213 (0.213) Data 0.043 (0.048) Loss 2.3646 (2.3142) Prec@1 43.750 (47.251) Prec@5 70.312 (72.442)
Epoch: [88][870/5005] Time 0.212 (0.213) Data 0.043 (0.048) Loss 2.3705 (2.3135) Prec@1 48.438 (47.270) Prec@5 68.750 (72.451)
Epoch: [88][880/5005] Time 0.212 (0.213) Data 0.042 (0.048) Loss 2.3384 (2.3140) Prec@1 46.875 (47.252) Prec@5 71.875 (72.445)
Epoch: [88][890/5005] Time 0.210 (0.213) Data 0.044 (0.048) Loss 2.6819 (2.3136) Prec@1 40.625 (47.259) Prec@5 63.672 (72.443)
Epoch: [88][900/5005] Time 0.210 (0.213) Data 0.044 (0.048) Loss 2.2044 (2.3128) Prec@1 51.953 (47.285) Prec@5 74.219 (72.462)
Epoch: [88][910/5005] Time 0.215 (0.213) Data 0.041 (0.048) Loss 2.3369 (2.3128) Prec@1 42.578 (47.282) Prec@5 74.219 (72.462)
Epoch: [88][920/5005] Time 0.211 (0.213) Data 0.044 (0.048) Loss 2.4170 (2.3122) Prec@1 43.750 (47.286) Prec@5 72.656 (72.474)
Epoch: [88][930/5005] Time 0.213 (0.213) Data 0.043 (0.048) Loss 2.2770 (2.3114) Prec@1 48.828 (47.303) Prec@5 71.484 (72.482)
Epoch: [88][940/5005] Time 0.212 (0.213) Data 0.043 (0.048) Loss 2.0713 (2.3113) Prec@1 50.781 (47.305) Prec@5 78.516 (72.492)
Epoch: [88][950/5005] Time 0.210 (0.213) Data 0.043 (0.048) Loss 2.4700 (2.3121) Prec@1 48.828 (47.299) Prec@5 69.531 (72.476)
Epoch: [88][960/5005] Time 0.206 (0.213) Data 0.043 (0.048) Loss 2.4484 (2.3124) Prec@1 44.141 (47.290) Prec@5 70.312 (72.463)
Epoch: [88][970/5005] Time 0.212 (0.213) Data 0.047 (0.048) Loss 2.1399 (2.3122) Prec@1 48.828 (47.287) Prec@5 74.609 (72.469)
Epoch: [88][980/5005] Time 0.211 (0.213) Data 0.042 (0.048) Loss 2.2107 (2.3115) Prec@1 50.391 (47.304) Prec@5 72.656 (72.473)
Epoch: [88][990/5005] Time 0.204 (0.213) Data 0.042 (0.047) Loss 2.3970 (2.3123) Prec@1 48.828 (47.292) Prec@5 70.312 (72.456)
Epoch: [88][1000/5005] Time 0.215 (0.213) Data 0.042 (0.047) Loss 2.3298 (2.3121) Prec@1 47.266 (47.301) Prec@5 73.047 (72.459)
Epoch: [88][1010/5005] Time 0.214 (0.213) Data 0.044 (0.047) Loss 2.2859 (2.3119) Prec@1 47.656 (47.296) Prec@5 74.219 (72.467)
Epoch: [88][1020/5005] Time 0.206 (0.213) Data 0.042 (0.047) Loss 2.1792 (2.3125) Prec@1 51.562 (47.297) Prec@5 74.219 (72.450)
Epoch: [88][1030/5005] Time 0.212 (0.213) Data 0.043 (0.047) Loss 2.2371 (2.3125) Prec@1 49.609 (47.301) Prec@5 73.828 (72.452)
Epoch: [88][1040/5005] Time 0.206 (0.215) Data 0.043 (0.047) Loss 2.4327 (2.3126) Prec@1 43.359 (47.300) Prec@5 72.266 (72.455)
Epoch: [88][1050/5005] Time 0.211 (0.214) Data 0.047 (0.047) Loss 2.4488 (2.3129) Prec@1 47.266 (47.286) Prec@5 67.969 (72.444)
Epoch: [88][1060/5005] Time 0.203 (0.214) Data 0.042 (0.047) Loss 2.3311 (2.3132) Prec@1 50.781 (47.288) Prec@5 71.875 (72.440)
Epoch: [88][1070/5005] Time 0.207 (0.214) Data 0.047 (0.047) Loss 2.2320 (2.3131) Prec@1 48.828 (47.293) Prec@5 74.219 (72.444)
Epoch: [88][1080/5005] Time 0.202 (0.214) Data 0.041 (0.047) Loss 2.4105 (2.3137) Prec@1 42.969 (47.278) Prec@5 71.875 (72.435)
Epoch: [88][1090/5005] Time 0.214 (0.214) Data 0.056 (0.047) Loss 2.1570 (2.3136) Prec@1 51.562 (47.280) Prec@5 75.000 (72.435)
Epoch: [88][1100/5005] Time 0.206 (0.214) Data 0.058 (0.047) Loss 2.3422 (2.3134) Prec@1 46.094 (47.284) Prec@5 70.703 (72.436)
Epoch: [88][1110/5005] Time 0.214 (0.214) Data 0.044 (0.047) Loss 2.2226 (2.3132) Prec@1 48.047 (47.289) Prec@5 75.000 (72.447)
Epoch: [88][1120/5005] Time 0.214 (0.214) Data 0.043 (0.047) Loss 2.1907 (2.3123) Prec@1 48.828 (47.298) Prec@5 72.656 (72.465)
Epoch: [88][1130/5005] Time 0.208 (0.214) Data 0.050 (0.047) Loss 2.4722 (2.3123) Prec@1 46.875 (47.299) Prec@5 71.875 (72.472)
Epoch: [88][1140/5005] Time 0.211 (0.214) Data 0.041 (0.047) Loss 2.2166 (2.3120) Prec@1 48.438 (47.302) Prec@5 72.266 (72.473)
Epoch: [88][1150/5005] Time 0.204 (0.214) Data 0.047 (0.048) Loss 2.2162 (2.3117) Prec@1 48.828 (47.308) Prec@5 75.391 (72.482)
Epoch: [88][1160/5005] Time 0.207 (0.214) Data 0.053 (0.048) Loss 2.4275 (2.3119) Prec@1 46.094 (47.304) Prec@5 70.703 (72.485)
Epoch: [88][1170/5005] Time 0.213 (0.214) Data 0.046 (0.048) Loss 2.4030 (2.3121) Prec@1 46.094 (47.304) Prec@5 71.094 (72.486)
Epoch: [88][1180/5005] Time 0.215 (0.214) Data 0.044 (0.048) Loss 2.3992 (2.3120) Prec@1 46.875 (47.298) Prec@5 70.703 (72.481)
Epoch: [88][1190/5005] Time 0.217 (0.214) Data 0.042 (0.048) Loss 2.1954 (2.3113) Prec@1 49.219 (47.302) Prec@5 74.609 (72.496)
Epoch: [88][1200/5005] Time 0.212 (0.214) Data 0.044 (0.047) Loss 2.4319 (2.3116) Prec@1 43.750 (47.297) Prec@5 69.141 (72.483)
Epoch: [88][1210/5005] Time 0.213 (0.214) Data 0.044 (0.047) Loss 2.3351 (2.3122) Prec@1 46.094 (47.285) Prec@5 72.656 (72.479)
Epoch: [88][1220/5005] Time 0.208 (0.214) Data 0.043 (0.047) Loss 2.4044 (2.3126) Prec@1 44.141 (47.277) Prec@5 67.578 (72.477)
Epoch: [88][1230/5005] Time 0.206 (0.214) Data 0.043 (0.047) Loss 2.3400 (2.3127) Prec@1 47.266 (47.269) Prec@5 71.094 (72.469)
Epoch: [88][1240/5005] Time 0.213 (0.214) Data 0.059 (0.047) Loss 2.3322 (2.3129) Prec@1 46.484 (47.263) Prec@5 72.656 (72.463)
Epoch: [88][1250/5005] Time 0.202 (0.214) Data 0.042 (0.047) Loss 2.5002 (2.3133) Prec@1 43.750 (47.256) Prec@5 68.359 (72.455)
Epoch: [88][1260/5005] Time 0.210 (0.214) Data 0.047 (0.047) Loss 2.0344 (2.3126) Prec@1 49.609 (47.260) Prec@5 76.172 (72.460)
Epoch: [88][1270/5005] Time 0.218 (0.214) Data 0.043 (0.047) Loss 2.3419 (2.3132) Prec@1 44.922 (47.249) Prec@5 73.828 (72.446)
Epoch: [88][1280/5005] Time 0.202 (0.214) Data 0.059 (0.047) Loss 2.2874 (2.3134) Prec@1 49.609 (47.242) Prec@5 73.047 (72.445)
Epoch: [88][1290/5005] Time 0.203 (0.214) Data 0.060 (0.047) Loss 2.2442 (2.3131) Prec@1 45.703 (47.244) Prec@5 74.219 (72.452)
Epoch: [88][1300/5005] Time 0.206 (0.214) Data 0.044 (0.047) Loss 2.2883 (2.3129) Prec@1 49.219 (47.250) Prec@5 73.438 (72.457)
Epoch: [88][1310/5005] Time 0.210 (0.214) Data 0.043 (0.047) Loss 2.2402 (2.3127) Prec@1 47.656 (47.251) Prec@5 75.781 (72.467)
Epoch: [88][1320/5005] Time 0.214 (0.214) Data 0.045 (0.047) Loss 2.4583 (2.3126) Prec@1 45.312 (47.262) Prec@5 71.094 (72.473)
Epoch: [88][1330/5005] Time 0.212 (0.214) Data 0.043 (0.047) Loss 2.4691 (2.3129) Prec@1 44.531 (47.263) Prec@5 71.484 (72.475)
Epoch: [88][1340/5005] Time 0.205 (0.213) Data 0.047 (0.047) Loss 2.2660 (2.3129) Prec@1 46.484 (47.267) Prec@5 74.219 (72.481)
Epoch: [88][1350/5005] Time 0.219 (0.213) Data 0.047 (0.047) Loss 2.7756 (2.3133) Prec@1 41.406 (47.256) Prec@5 63.281 (72.471)
Epoch: [88][1360/5005] Time 0.211 (0.213) Data 0.047 (0.047) Loss 2.1799 (2.3130) Prec@1 49.609 (47.261) Prec@5 76.562 (72.475)
Epoch: [88][1370/5005] Time 0.206 (0.213) Data 0.052 (0.047) Loss 2.3430 (2.3125) Prec@1 44.531 (47.266) Prec@5 73.047 (72.484)
Epoch: [88][1380/5005] Time 0.211 (0.213) Data 0.043 (0.047) Loss 2.3811 (2.3124) Prec@1 45.703 (47.264) Prec@5 73.438 (72.494)
Epoch: [88][1390/5005] Time 0.206 (0.213) Data 0.046 (0.047) Loss 2.3172 (2.3126) Prec@1 46.875 (47.270) Prec@5 71.484 (72.490)
Epoch: [88][1400/5005] Time 0.201 (0.213) Data 0.062 (0.047) Loss 2.3030 (2.3118) Prec@1 47.656 (47.275) Prec@5 71.094 (72.504)
Epoch: [88][1410/5005] Time 0.215 (0.213) Data 0.049 (0.047) Loss 2.3071 (2.3116) Prec@1 46.094 (47.282) Prec@5 75.000 (72.511)
Epoch: [88][1420/5005] Time 0.205 (0.213) Data 0.047 (0.047) Loss 2.4508 (2.3115) Prec@1 46.094 (47.285) Prec@5 69.922 (72.507)
Epoch: [88][1430/5005] Time 0.209 (0.213) Data 0.048 (0.047) Loss 1.9760 (2.3112) Prec@1 54.688 (47.305) Prec@5 75.781 (72.508)
Epoch: [88][1440/5005] Time 0.209 (0.213) Data 0.047 (0.047) Loss 2.0503 (2.3107) Prec@1 51.953 (47.311) Prec@5 76.562 (72.515)
Epoch: [88][1450/5005] Time 0.215 (0.213) Data 0.043 (0.047) Loss 2.2478 (2.3107) Prec@1 51.562 (47.317) Prec@5 73.828 (72.510)
Epoch: [88][1460/5005] Time 0.212 (0.213) Data 0.044 (0.047) Loss 2.4247 (2.3106) Prec@1 44.922 (47.323) Prec@5 68.359 (72.512)
Epoch: [88][1470/5005] Time 0.217 (0.213) Data 0.051 (0.047) Loss 2.4651 (2.3108) Prec@1 43.359 (47.324) Prec@5 69.531 (72.510)
Epoch: [88][1480/5005] Time 0.200 (0.213) Data 0.052 (0.047) Loss 2.1602 (2.3108) Prec@1 48.047 (47.324) Prec@5 76.562 (72.510)
Epoch: [88][1490/5005] Time 0.205 (0.213) Data 0.040 (0.047) Loss 2.5296 (2.3103) Prec@1 42.578 (47.327) Prec@5 69.141 (72.527)
Epoch: [88][1500/5005] Time 0.208 (0.213) Data 0.049 (0.047) Loss 2.3141 (2.3102) Prec@1 47.656 (47.339) Prec@5 73.828 (72.528)
Epoch: [88][1510/5005] Time 0.218 (0.213) Data 0.046 (0.047) Loss 2.1909 (2.3102) Prec@1 47.266 (47.343) Prec@5 75.781 (72.522)
Epoch: [88][1520/5005] Time 0.207 (0.213) Data 0.042 (0.047) Loss 2.2637 (2.3098) Prec@1 46.484 (47.348) Prec@5 73.438 (72.530)
Epoch: [88][1530/5005] Time 0.200 (0.213) Data 0.044 (0.047) Loss 2.3692 (2.3099) Prec@1 48.828 (47.345) Prec@5 72.656 (72.526)
Epoch: [88][1540/5005] Time 0.214 (0.213) Data 0.043 (0.047) Loss 2.3905 (2.3100) Prec@1 46.484 (47.341) Prec@5 69.922 (72.522)
Epoch: [88][1550/5005] Time 0.209 (0.213) Data 0.042 (0.047) Loss 2.2404 (2.3095) Prec@1 48.438 (47.349) Prec@5 74.219 (72.528)
Epoch: [88][1560/5005] Time 0.216 (0.213) Data 0.043 (0.047) Loss 2.1456 (2.3096) Prec@1 48.438 (47.345) Prec@5 75.000 (72.529)
Epoch: [88][1570/5005] Time 0.213 (0.213) Data 0.042 (0.047) Loss 2.0838 (2.3092) Prec@1 51.953 (47.348) Prec@5 75.391 (72.539)
Epoch: [88][1580/5005] Time 0.201 (0.213) Data 0.048 (0.047) Loss 2.0949 (2.3094) Prec@1 48.047 (47.335) Prec@5 79.297 (72.534)
Epoch: [88][1590/5005] Time 0.206 (0.213) Data 0.046 (0.047) Loss 2.2570 (2.3094) Prec@1 47.656 (47.334) Prec@5 69.922 (72.534)
Epoch: [88][1600/5005] Time 0.212 (0.213) Data 0.047 (0.047) Loss 2.3637 (2.3096) Prec@1 46.094 (47.326) Prec@5 73.047 (72.528)
Epoch: [88][1610/5005] Time 0.203 (0.213) Data 0.045 (0.047) Loss 2.3533 (2.3095) Prec@1 45.703 (47.329) Prec@5 75.000 (72.531)
Epoch: [88][1620/5005] Time 0.211 (0.213) Data 0.051 (0.047) Loss 2.4810 (2.3092) Prec@1 44.531 (47.326) Prec@5 68.359 (72.537)
Epoch: [88][1630/5005] Time 0.209 (0.213) Data 0.053 (0.047) Loss 2.1343 (2.3091) Prec@1 50.781 (47.325) Prec@5 73.828 (72.540)
Epoch: [88][1640/5005] Time 0.208 (0.213) Data 0.044 (0.047) Loss 2.2895 (2.3095) Prec@1 49.609 (47.318) Prec@5 75.781 (72.538)
Epoch: [88][1650/5005] Time 0.211 (0.213) Data 0.044 (0.047) Loss 2.3729 (2.3093) Prec@1 44.141 (47.323) Prec@5 71.094 (72.542)
Epoch: [88][1660/5005] Time 0.213 (0.213) Data 0.043 (0.047) Loss 2.1830 (2.3087) Prec@1 54.688 (47.339) Prec@5 73.828 (72.550)
Epoch: [88][1670/5005] Time 0.208 (0.213) Data 0.057 (0.047) Loss 2.1905 (2.3087) Prec@1 48.438 (47.343) Prec@5 73.828 (72.553)
Epoch: [88][1680/5005] Time 0.207 (0.213) Data 0.044 (0.047) Loss 2.2981 (2.3089) Prec@1 51.562 (47.343) Prec@5 75.000 (72.556)
Epoch: [88][1690/5005] Time 0.213 (0.213) Data 0.042 (0.047) Loss 2.2083 (2.3089) Prec@1 51.953 (47.345) Prec@5 73.438 (72.558)
Epoch: [88][1700/5005] Time 0.206 (0.213) Data 0.040 (0.047) Loss 2.2696 (2.3084) Prec@1 47.656 (47.349) Prec@5 74.609 (72.567)
Epoch: [88][1710/5005] Time 0.210 (0.213) Data 0.045 (0.047) Loss 2.1995 (2.3079) Prec@1 48.438 (47.355) Prec@5 74.609 (72.577)
Epoch: [88][1720/5005] Time 0.213 (0.213) Data 0.043 (0.047) Loss 2.3462 (2.3080) Prec@1 43.750 (47.354) Prec@5 72.266 (72.578)
Epoch: [88][1730/5005] Time 0.210 (0.213) Data 0.045 (0.047) Loss 2.1446 (2.3079) Prec@1 50.391 (47.355) Prec@5 76.562 (72.586)
Epoch: [88][1740/5005] Time 0.206 (0.213) Data 0.040 (0.047) Loss 2.5080 (2.3078) Prec@1 42.969 (47.357) Prec@5 67.969 (72.587)
Epoch: [88][1750/5005] Time 0.213 (0.213) Data 0.044 (0.047) Loss 2.2244 (2.3074) Prec@1 48.438 (47.364) Prec@5 71.875 (72.592)
Epoch: [88][1760/5005] Time 0.212 (0.213) Data 0.046 (0.047) Loss 2.0943 (2.3071) Prec@1 51.953 (47.367) Prec@5 78.125 (72.603)
Epoch: [88][1770/5005] Time 0.211 (0.212) Data 0.045 (0.047) Loss 2.3717 (2.3070) Prec@1 46.484 (47.362) Prec@5 70.703 (72.607)
Epoch: [88][1780/5005] Time 0.214 (0.212) Data 0.042 (0.047) Loss 2.1343 (2.3068) Prec@1 49.219 (47.364) Prec@5 76.953 (72.612)
Epoch: [88][1790/5005] Time 0.205 (0.212) Data 0.043 (0.047) Loss 2.1178 (2.3064) Prec@1 51.953 (47.370) Prec@5 73.438 (72.617)
Epoch: [88][1800/5005] Time 0.204 (0.212) Data 0.042 (0.047) Loss 2.2967 (2.3063) Prec@1 45.312 (47.371) Prec@5 72.656 (72.621)
Epoch: [88][1810/5005] Time 0.210 (0.212) Data 0.045 (0.047) Loss 2.1611 (2.3061) Prec@1 48.828 (47.373) Prec@5 75.391 (72.626)
Epoch: [88][1820/5005] Time 0.208 (0.212) Data 0.044 (0.047) Loss 2.2942 (2.3062) Prec@1 43.750 (47.371) Prec@5 74.609 (72.628)
Epoch: [88][1830/5005] Time 0.208 (0.212) Data 0.043 (0.047) Loss 2.0888 (2.3057) Prec@1 50.000 (47.377) Prec@5 76.562 (72.632)
Epoch: [88][1840/5005] Time 0.205 (0.212) Data 0.044 (0.047) Loss 2.3032 (2.3054) Prec@1 46.875 (47.387) Prec@5 73.828 (72.636)
Epoch: [88][1850/5005] Time 0.218 (0.212) Data 0.041 (0.047) Loss 2.3426 (2.3053) Prec@1 42.969 (47.383) Prec@5 73.828 (72.638)
Epoch: [88][1860/5005] Time 0.211 (0.212) Data 0.057 (0.047) Loss 2.2201 (2.3052) Prec@1 48.438 (47.385) Prec@5 75.781 (72.638)
Epoch: [88][1870/5005] Time 0.204 (0.212) Data 0.058 (0.047) Loss 2.4328 (2.3054) Prec@1 41.406 (47.382) Prec@5 72.266 (72.637)
Epoch: [88][1880/5005] Time 0.203 (0.212) Data 0.056 (0.047) Loss 2.2042 (2.3053) Prec@1 48.438 (47.388) Prec@5 75.000 (72.639)
Epoch: [88][1890/5005] Time 0.219 (0.212) Data 0.044 (0.047) Loss 2.3737 (2.3052) Prec@1 47.266 (47.388) Prec@5 68.750 (72.645)
Epoch: [88][1900/5005] Time 0.214 (0.212) Data 0.043 (0.047) Loss 2.3384 (2.3055) Prec@1 49.219 (47.380) Prec@5 73.438 (72.648)
Epoch: [88][1910/5005] Time 0.205 (0.212) Data 0.050 (0.047) Loss 2.1676 (2.3054) Prec@1 48.828 (47.377) Prec@5 76.953 (72.647)
Epoch: [88][1920/5005] Time 0.206 (0.212) Data 0.061 (0.047) Loss 2.1924 (2.3051) Prec@1 49.219 (47.374) Prec@5 75.391 (72.658)
Epoch: [88][1930/5005] Time 0.210 (0.212) Data 0.042 (0.047) Loss 2.2842 (2.3048) Prec@1 48.047 (47.382) Prec@5 71.484 (72.661)
Epoch: [88][1940/5005] Time 0.204 (0.212) Data 0.042 (0.047) Loss 2.1427 (2.3047) Prec@1 50.391 (47.386) Prec@5 75.781 (72.665)
Epoch: [88][1950/5005] Time 0.214 (0.212) Data 0.043 (0.047) Loss 2.4007 (2.3047) Prec@1 47.266 (47.391) Prec@5 70.312 (72.663)
Epoch: [88][1960/5005] Time 0.205 (0.212) Data 0.042 (0.047) Loss 2.2221 (2.3045) Prec@1 51.562 (47.396) Prec@5 74.219 (72.670)
Epoch: [88][1970/5005] Time 0.216 (0.212) Data 0.044 (0.047) Loss 2.2459 (2.3046) Prec@1 48.438 (47.389) Prec@5 71.875 (72.665)
Epoch: [88][1980/5005] Time 0.211 (0.212) Data 0.047 (0.047) Loss 2.0308 (2.3044) Prec@1 51.953 (47.392) Prec@5 75.391 (72.666)
Epoch: [88][1990/5005] Time 0.191 (0.212) Data 0.069 (0.047) Loss 2.1301 (2.3040) Prec@1 44.141 (47.390) Prec@5 75.391 (72.674)
Epoch: [88][2000/5005] Time 0.193 (0.213) Data 0.060 (0.047) Loss 2.1560 (2.3042) Prec@1 50.000 (47.388) Prec@5 76.562 (72.674)
Epoch: [88][2010/5005] Time 0.201 (0.213) Data 0.046 (0.047) Loss 2.2299 (2.3046) Prec@1 49.609 (47.383) Prec@5 75.391 (72.661)
Epoch: [88][2020/5005] Time 0.210 (0.213) Data 0.043 (0.047) Loss 2.2938 (2.3047) Prec@1 49.609 (47.380) Prec@5 73.047 (72.655)
Epoch: [88][2030/5005] Time 0.208 (0.213) Data 0.045 (0.047) Loss 2.3982 (2.3049) Prec@1 42.578 (47.376) Prec@5 72.266 (72.653)
Epoch: [88][2040/5005] Time 0.211 (0.213) Data 0.045 (0.047) Loss 2.0784 (2.3047) Prec@1 48.828 (47.375) Prec@5 76.172 (72.658)
Epoch: [88][2050/5005] Time 0.213 (0.213) Data 0.044 (0.047) Loss 2.4341 (2.3045) Prec@1 47.266 (47.379) Prec@5 72.266 (72.657)
Epoch: [88][2060/5005] Time 0.203 (0.213) Data 0.047 (0.047) Loss 2.1904 (2.3045) Prec@1 47.656 (47.377) Prec@5 73.438 (72.659)
Epoch: [88][2070/5005] Time 0.201 (0.213) Data 0.054 (0.047) Loss 2.5446 (2.3045) Prec@1 45.312 (47.374) Prec@5 69.141 (72.657)
Epoch: [88][2080/5005] Time 0.206 (0.213) Data 0.052 (0.047) Loss 2.4205 (2.3043) Prec@1 42.188 (47.374) Prec@5 72.266 (72.662)
Epoch: [88][2090/5005] Time 0.209 (0.213) Data 0.045 (0.047) Loss 2.0376 (2.3038) Prec@1 51.562 (47.378) Prec@5 80.469 (72.671)
Epoch: [88][2100/5005] Time 0.213 (0.213) Data 0.049 (0.047) Loss 2.4029 (2.3035) Prec@1 41.016 (47.381) Prec@5 73.828 (72.677)
Epoch: [88][2110/5005] Time 0.211 (0.213) Data 0.043 (0.047) Loss 2.1495 (2.3036) Prec@1 49.219 (47.382) Prec@5 76.562 (72.676)
Epoch: [88][2120/5005] Time 0.211 (0.213) Data 0.043 (0.047) Loss 2.3494 (2.3034) Prec@1 48.438 (47.387) Prec@5 71.484 (72.681)
Epoch: [88][2130/5005] Time 0.209 (0.213) Data 0.043 (0.047) Loss 2.2856 (2.3029) Prec@1 49.609 (47.398) Prec@5 68.750 (72.686)
Epoch: [88][2140/5005] Time 0.206 (0.212) Data 0.047 (0.047) Loss 2.1651 (2.3027) Prec@1 48.047 (47.399) Prec@5 75.000 (72.686)
Epoch: [88][2150/5005] Time 0.198 (0.212) Data 0.047 (0.047) Loss 2.1376 (2.3026) Prec@1 51.172 (47.401) Prec@5 76.172 (72.686)
Epoch: [88][2160/5005] Time 0.209 (0.212) Data 0.046 (0.047) Loss 2.2070 (2.3026) Prec@1 47.266 (47.398) Prec@5 74.219 (72.689)
Epoch: [88][2170/5005] Time 0.200 (0.212) Data 0.049 (0.047) Loss 2.1957 (2.3023) Prec@1 46.484 (47.402) Prec@5 73.438 (72.695)
Epoch: [88][2180/5005] Time 0.197 (0.212) Data 0.042 (0.047) Loss 2.4602 (2.3022) Prec@1 47.266 (47.404) Prec@5 69.531 (72.698)
Epoch: [88][2190/5005] Time 0.211 (0.212) Data 0.044 (0.047) Loss 2.6442 (2.3024) Prec@1 41.797 (47.402) Prec@5 65.625 (72.695)
Epoch: [88][2200/5005] Time 0.203 (0.212) Data 0.046 (0.047) Loss 2.2536 (2.3025) Prec@1 48.828 (47.397) Prec@5 71.484 (72.691)
Epoch: [88][2210/5005] Time 0.194 (0.212) Data 0.046 (0.047) Loss 2.3229 (2.3028) Prec@1 45.312 (47.392) Prec@5 73.438 (72.689)
Epoch: [88][2220/5005] Time 0.209 (0.212) Data 0.041 (0.047) Loss 2.4418 (2.3026) Prec@1 45.312 (47.387) Prec@5 73.047 (72.695)
Epoch: [88][2230/5005] Time 0.208 (0.212) Data 0.042 (0.047) Loss 2.2773 (2.3026) Prec@1 50.781 (47.386) Prec@5 74.219 (72.692)
Epoch: [88][2240/5005] Time 0.217 (0.212) Data 0.057 (0.047) Loss 2.3585 (2.3027) Prec@1 46.094 (47.381) Prec@5 73.438 (72.692)
Epoch: [88][2250/5005] Time 0.205 (0.212) Data 0.048 (0.047) Loss 2.1815 (2.3028) Prec@1 47.656 (47.381) Prec@5 75.391 (72.689)
Epoch: [88][2260/5005] Time 0.213 (0.212) Data 0.045 (0.047) Loss 2.1714 (2.3023) Prec@1 50.781 (47.387) Prec@5 73.438 (72.696)
Epoch: [88][2270/5005] Time 0.208 (0.212) Data 0.065 (0.047) Loss 2.3671 (2.3020) Prec@1 47.656 (47.392) Prec@5 67.188 (72.701)
Epoch: [88][2280/5005] Time 0.209 (0.212) Data 0.051 (0.047) Loss 2.3889 (2.3021) Prec@1 46.484 (47.393) Prec@5 73.828 (72.703)
Epoch: [88][2290/5005] Time 0.217 (0.212) Data 0.046 (0.047) Loss 2.2512 (2.3022) Prec@1 49.609 (47.391) Prec@5 74.609 (72.699)
Epoch: [88][2300/5005] Time 0.213 (0.212) Data 0.042 (0.047) Loss 2.2816 (2.3023) Prec@1 45.703 (47.392) Prec@5 71.875 (72.699)
Epoch: [88][2310/5005] Time 0.198 (0.212) Data 0.042 (0.047) Loss 2.1647 (2.3020) Prec@1 48.828 (47.401) Prec@5 72.656 (72.702)
Epoch: [88][2320/5005] Time 0.218 (0.212) Data 0.045 (0.047) Loss 2.4730 (2.3021) Prec@1 42.578 (47.397) Prec@5 71.484 (72.697)
Epoch: [88][2330/5005] Time 0.208 (0.212) Data 0.041 (0.047) Loss 2.1670 (2.3017) Prec@1 48.828 (47.401) Prec@5 76.172 (72.703)
Epoch: [88][2340/5005] Time 0.215 (0.212) Data 0.053 (0.047) Loss 2.2737 (2.3016) Prec@1 44.922 (47.402) Prec@5 71.094 (72.705)
Epoch: [88][2350/5005] Time 0.209 (0.212) Data 0.043 (0.047) Loss 2.2845 (2.3015) Prec@1 46.094 (47.403) Prec@5 73.047 (72.707)
Epoch: [88][2360/5005] Time 0.208 (0.212) Data 0.045 (0.047) Loss 2.2165 (2.3016) Prec@1 49.609 (47.404) Prec@5 72.656 (72.707)
Epoch: [88][2370/5005] Time 0.215 (0.212) Data 0.043 (0.047) Loss 2.3043 (2.3017) Prec@1 44.922 (47.402) Prec@5 71.875 (72.700)
Epoch: [88][2380/5005] Time 0.210 (0.212) Data 0.043 (0.047) Loss 2.3535 (2.3014) Prec@1 45.703 (47.402) Prec@5 69.922 (72.704)
Epoch: [88][2390/5005] Time 0.207 (0.212) Data 0.050 (0.047) Loss 2.2840 (2.3011) Prec@1 49.219 (47.409) Prec@5 74.609 (72.708)
Epoch: [88][2400/5005] Time 0.211 (0.212) Data 0.042 (0.047) Loss 2.3620 (2.3012) Prec@1 44.922 (47.406) Prec@5 71.094 (72.705)
Epoch: [88][2410/5005] Time 0.210 (0.212) Data 0.043 (0.047) Loss 2.4980 (2.3013) Prec@1 42.578 (47.403) Prec@5 67.578 (72.701)
Epoch: [88][2420/5005] Time 0.212 (0.212) Data 0.043 (0.047) Loss 2.3998 (2.3013) Prec@1 44.922 (47.407) Prec@5 70.703 (72.707)
Epoch: [88][2430/5005] Time 0.212 (0.212) Data 0.044 (0.047) Loss 2.3501 (2.3014) Prec@1 47.266 (47.404) Prec@5 67.969 (72.702)
Epoch: [88][2440/5005] Time 0.202 (0.212) Data 0.040 (0.047) Loss 2.1106 (2.3013) Prec@1 51.172 (47.409) Prec@5 73.828 (72.702)
Epoch: [88][2450/5005] Time 0.208 (0.212) Data 0.042 (0.047) Loss 2.2660 (2.3012) Prec@1 45.312 (47.411) Prec@5 72.656 (72.703)
Epoch: [88][2460/5005] Time 0.214 (0.212) Data 0.044 (0.047) Loss 2.3444 (2.3011) Prec@1 45.703 (47.411) Prec@5 71.875 (72.701)
Epoch: [88][2470/5005] Time 0.193 (0.212) Data 0.041 (0.047) Loss 2.0614 (2.3008) Prec@1 53.516 (47.418) Prec@5 75.391 (72.707)
Epoch: [88][2480/5005] Time 0.200 (0.212) Data 0.048 (0.047) Loss 2.4608 (2.3010) Prec@1 41.406 (47.413) Prec@5 68.750 (72.703)
Epoch: [88][2490/5005] Time 0.200 (0.212) Data 0.054 (0.047) Loss 2.0812 (2.3012) Prec@1 51.953 (47.409) Prec@5 76.562 (72.698)
Epoch: [88][2500/5005] Time 0.211 (0.212) Data 0.044 (0.047) Loss 2.2515 (2.3011) Prec@1 48.438 (47.410) Prec@5 76.172 (72.696)
Epoch: [88][2510/5005] Time 0.204 (0.212) Data 0.043 (0.047) Loss 2.3873 (2.3012) Prec@1 48.438 (47.411) Prec@5 71.484 (72.692)
Epoch: [88][2520/5005] Time 0.208 (0.212) Data 0.043 (0.047) Loss 2.1921 (2.3011) Prec@1 50.391 (47.415) Prec@5 75.000 (72.696)
Epoch: [88][2530/5005] Time 0.204 (0.212) Data 0.042 (0.047) Loss 2.4270 (2.3013) Prec@1 43.750 (47.407) Prec@5 70.312 (72.694)
Epoch: [88][2540/5005] Time 0.207 (0.212) Data 0.043 (0.047) Loss 2.2806 (2.3012) Prec@1 48.828 (47.410) Prec@5 74.609 (72.696)
Epoch: [88][2550/5005] Time 0.212 (0.212) Data 0.042 (0.047) Loss 2.2540 (2.3012) Prec@1 46.484 (47.410) Prec@5 74.609 (72.700)
Epoch: [88][2560/5005] Time 0.217 (0.212) Data 0.046 (0.047) Loss 2.4300 (2.3011) Prec@1 45.312 (47.410) Prec@5 71.094 (72.700)
Epoch: [88][2570/5005] Time 0.203 (0.212) Data 0.041 (0.047) Loss 2.2538 (2.3013) Prec@1 44.922 (47.406) Prec@5 75.391 (72.698)
Epoch: [88][2580/5005] Time 0.199 (0.212) Data 0.048 (0.047) Loss 2.2951 (2.3017) Prec@1 48.047 (47.395) Prec@5 69.141 (72.690)
Epoch: [88][2590/5005] Time 0.216 (0.212) Data 0.042 (0.047) Loss 2.4713 (2.3016) Prec@1 44.141 (47.399) Prec@5 67.188 (72.689)
Epoch: [88][2600/5005] Time 0.207 (0.212) Data 0.041 (0.047) Loss 2.2990 (2.3018) Prec@1 47.656 (47.399) Prec@5 74.609 (72.685)
Epoch: [88][2610/5005] Time 0.207 (0.212) Data 0.060 (0.047) Loss 2.3747 (2.3015) Prec@1 46.875 (47.407) Prec@5 71.094 (72.692)
Epoch: [88][2620/5005] Time 0.207 (0.212) Data 0.046 (0.047) Loss 2.1891 (2.3014) Prec@1 46.875 (47.411) Prec@5 78.125 (72.691)
Epoch: [88][2630/5005] Time 0.216 (0.212) Data 0.046 (0.047) Loss 2.4427 (2.3018) Prec@1 47.266 (47.410) Prec@5 71.094 (72.684)
Epoch: [88][2640/5005] Time 0.209 (0.212) Data 0.046 (0.047) Loss 2.4414 (2.3016) Prec@1 42.578 (47.411) Prec@5 70.703 (72.687)
Epoch: [88][2650/5005] Time 0.204 (0.212) Data 0.042 (0.047) Loss 2.4085 (2.3015) Prec@1 42.969 (47.412) Prec@5 71.875 (72.689)
Epoch: [88][2660/5005] Time 0.206 (0.212) Data 0.059 (0.047) Loss 2.1467 (2.3015) Prec@1 50.781 (47.411) Prec@5 72.656 (72.689)
Epoch: [88][2670/5005] Time 0.204 (0.212) Data 0.042 (0.047) Loss 2.0329 (2.3012) Prec@1 50.391 (47.418) Prec@5 75.000 (72.693)
Epoch: [88][2680/5005] Time 0.213 (0.212) Data 0.043 (0.047) Loss 2.2127 (2.3011) Prec@1 46.875 (47.418) Prec@5 73.438 (72.693)
Epoch: [88][2690/5005] Time 0.211 (0.212) Data 0.040 (0.047) Loss 2.1897 (2.3010) Prec@1 52.734 (47.422) Prec@5 75.781 (72.695)
Epoch: [88][2700/5005] Time 0.198 (0.212) Data 0.046 (0.047) Loss 2.2481 (2.3009) Prec@1 48.047 (47.422) Prec@5 71.094 (72.698)
Epoch: [88][2710/5005] Time 0.205 (0.212) Data 0.060 (0.047) Loss 2.0439 (2.3009) Prec@1 53.906 (47.422) Prec@5 76.953 (72.697)
Epoch: [88][2720/5005] Time 0.205 (0.212) Data 0.042 (0.047) Loss 2.1895 (2.3010) Prec@1 53.125 (47.420) Prec@5 76.953 (72.698)
Epoch: [88][2730/5005] Time 0.217 (0.212) Data 0.043 (0.047) Loss 2.4224 (2.3009) Prec@1 46.094 (47.420) Prec@5 69.531 (72.699)
Epoch: [88][2740/5005] Time 0.206 (0.212) Data 0.048 (0.047) Loss 2.2691 (2.3007) Prec@1 50.781 (47.426) Prec@5 73.438 (72.702)
Epoch: [88][2750/5005] Time 0.211 (0.212) Data 0.042 (0.047) Loss 2.3295 (2.3006) Prec@1 45.703 (47.431) Prec@5 70.312 (72.700)
Epoch: [88][2760/5005] Time 0.199 (0.212) Data 0.050 (0.047) Loss 2.3413 (2.3004) Prec@1 46.484 (47.436) Prec@5 69.922 (72.705)
Epoch: [88][2770/5005] Time 0.206 (0.212) Data 0.046 (0.047) Loss 2.2087 (2.3005) Prec@1 50.391 (47.434) Prec@5 73.438 (72.703)
Epoch: [88][2780/5005] Time 0.214 (0.212) Data 0.041 (0.047) Loss 2.5617 (2.3006) Prec@1 42.188 (47.435) Prec@5 66.016 (72.704)
Epoch: [88][2790/5005] Time 0.215 (0.212) Data 0.049 (0.047) Loss 2.4593 (2.3007) Prec@1 42.188 (47.436) Prec@5 67.188 (72.701)
Epoch: [88][2800/5005] Time 0.218 (0.211) Data 0.044 (0.047) Loss 1.9996 (2.3005) Prec@1 54.297 (47.441) Prec@5 78.516 (72.704)
Epoch: [88][2810/5005] Time 0.202 (0.211) Data 0.048 (0.047) Loss 2.5610 (2.3006) Prec@1 47.656 (47.439) Prec@5 68.359 (72.703)
Epoch: [88][2820/5005] Time 0.203 (0.211) Data 0.045 (0.047) Loss 2.1142 (2.3005) Prec@1 48.828 (47.438) Prec@5 78.906 (72.704)
Epoch: [88][2830/5005] Time 0.209 (0.211) Data 0.052 (0.047) Loss 2.4223 (2.3005) Prec@1 46.484 (47.439) Prec@5 71.875 (72.704)
Epoch: [88][2840/5005] Time 0.204 (0.211) Data 0.050 (0.047) Loss 2.3730 (2.3005) Prec@1 48.438 (47.438) Prec@5 71.875 (72.702)
Epoch: [88][2850/5005] Time 0.204 (0.211) Data 0.048 (0.047) Loss 2.3488 (2.3006) Prec@1 45.312 (47.439) Prec@5 68.750 (72.704)
Epoch: [88][2860/5005] Time 0.208 (0.211) Data 0.047 (0.047) Loss 2.3194 (2.3008) Prec@1 45.703 (47.437) Prec@5 70.703 (72.697)
Epoch: [88][2870/5005] Time 0.203 (0.211) Data 0.050 (0.047) Loss 2.3814 (2.3007) Prec@1 43.359 (47.443) Prec@5 71.094 (72.700)
Epoch: [88][2880/5005] Time 0.203 (0.211) Data 0.050 (0.047) Loss 2.3380 (2.3007) Prec@1 45.312 (47.442) Prec@5 71.875 (72.699)
Epoch: [88][2890/5005] Time 0.208 (0.211) Data 0.051 (0.047) Loss 2.3432 (2.3006) Prec@1 43.359 (47.442) Prec@5 72.656 (72.701)
Epoch: [88][2900/5005] Time 0.204 (0.211) Data 0.047 (0.047) Loss 1.9539 (2.3004) Prec@1 56.641 (47.448) Prec@5 77.344 (72.704)
Epoch: [88][2910/5005] Time 0.213 (0.211) Data 0.044 (0.047) Loss 2.1248 (2.3003) Prec@1 46.875 (47.446) Prec@5 75.391 (72.707)
Epoch: [88][2920/5005] Time 0.213 (0.211) Data 0.047 (0.047) Loss 2.4521 (2.3004) Prec@1 43.750 (47.446) Prec@5 70.312 (72.707)
Epoch: [88][2930/5005] Time 0.212 (0.211) Data 0.055 (0.047) Loss 2.4722 (2.3005) Prec@1 44.531 (47.445) Prec@5 70.703 (72.709)
Epoch: [88][2940/5005] Time 0.206 (0.211) Data 0.059 (0.047) Loss 2.3184 (2.3003) Prec@1 46.484 (47.445) Prec@5 72.656 (72.714)
Epoch: [88][2950/5005] Time 0.206 (0.211) Data 0.049 (0.047) Loss 2.4850 (2.3000) Prec@1 40.234 (47.447) Prec@5 69.531 (72.719)
Epoch: [88][2960/5005] Time 0.203 (0.211) Data 0.044 (0.047) Loss 2.1933 (2.2998) Prec@1 48.047 (47.450) Prec@5 75.391 (72.722)
Epoch: [88][2970/5005] Time 0.208 (0.211) Data 0.048 (0.047) Loss 2.3766 (2.2997) Prec@1 41.016 (47.449) Prec@5 70.703 (72.725)
Epoch: [88][2980/5005] Time 0.220 (0.211) Data 0.044 (0.047) Loss 2.3797 (2.2997) Prec@1 45.312 (47.450) Prec@5 71.875 (72.727)
Epoch: [88][2990/5005] Time 0.212 (0.211) Data 0.046 (0.047) Loss 2.2684 (2.2996) Prec@1 50.391 (47.450) Prec@5 74.219 (72.730)
Epoch: [88][3000/5005] Time 0.210 (0.211) Data 0.042 (0.047) Loss 2.2401 (2.2995) Prec@1 47.266 (47.452) Prec@5 77.344 (72.731)
Epoch: [88][3010/5005] Time 0.213 (0.211) Data 0.042 (0.047) Loss 2.2886 (2.2995) Prec@1 45.703 (47.452) Prec@5 75.000 (72.731)
Epoch: [88][3020/5005] Time 0.211 (0.211) Data 0.063 (0.047) Loss 2.1542 (2.2997) Prec@1 50.000 (47.451) Prec@5 75.000 (72.731)
Epoch: [88][3030/5005] Time 0.213 (0.211) Data 0.043 (0.047) Loss 2.2997 (2.2998) Prec@1 49.219 (47.443) Prec@5 71.094 (72.730)
Epoch: [88][3040/5005] Time 0.203 (0.211) Data 0.061 (0.047) Loss 2.2352 (2.2997) Prec@1 50.000 (47.446) Prec@5 73.047 (72.731)
Epoch: [88][3050/5005] Time 0.195 (0.211) Data 0.050 (0.047) Loss 2.2485 (2.2997) Prec@1 43.359 (47.448) Prec@5 76.172 (72.735)
Epoch: [88][3060/5005] Time 0.201 (0.211) Data 0.046 (0.047) Loss 2.1187 (2.2995) Prec@1 53.125 (47.451) Prec@5 73.438 (72.738)
Epoch: [88][3070/5005] Time 0.210 (0.211) Data 0.043 (0.047) Loss 2.2496 (2.2996) Prec@1 46.875 (47.450) Prec@5 75.391 (72.740)
Epoch: [88][3080/5005] Time 0.210 (0.211) Data 0.044 (0.047) Loss 2.1281 (2.2997) Prec@1 48.438 (47.447) Prec@5 74.219 (72.740)
Epoch: [88][3090/5005] Time 0.213 (0.211) Data 0.044 (0.047) Loss 2.6319 (2.2996) Prec@1 42.188 (47.449) Prec@5 67.969 (72.741)
Epoch: [88][3100/5005] Time 0.212 (0.211) Data 0.045 (0.047) Loss 2.4141 (2.2997) Prec@1 46.094 (47.447) Prec@5 71.484 (72.739)
Epoch: [88][3110/5005] Time 0.209 (0.211) Data 0.046 (0.047) Loss 2.0565 (2.2995) Prec@1 52.734 (47.450) Prec@5 78.125 (72.742)
Epoch: [88][3120/5005] Time 0.212 (0.211) Data 0.044 (0.047) Loss 2.4087 (2.2995) Prec@1 46.094 (47.448) Prec@5 71.094 (72.740)
Epoch: [88][3130/5005] Time 0.213 (0.211) Data 0.044 (0.047) Loss 2.4426 (2.2994) Prec@1 42.578 (47.453) Prec@5 74.219 (72.743)
Epoch: [88][3140/5005] Time 0.200 (0.211) Data 0.061 (0.047) Loss 1.9482 (2.2992) Prec@1 56.250 (47.459) Prec@5 75.781 (72.745)
Epoch: [88][3150/5005] Time 0.208 (0.211) Data 0.048 (0.047) Loss 2.3527 (2.2992) Prec@1 48.828 (47.460) Prec@5 71.484 (72.743)
Epoch: [88][3160/5005] Time 0.203 (0.211) Data 0.044 (0.047) Loss 2.1913 (2.2992) Prec@1 49.609 (47.463) Prec@5 74.219 (72.744)
Epoch: [88][3170/5005] Time 0.209 (0.211) Data 0.049 (0.047) Loss 2.2741 (2.2992) Prec@1 47.656 (47.463) Prec@5 73.438 (72.745)
Epoch: [88][3180/5005] Time 0.216 (0.211) Data 0.047 (0.047) Loss 2.1576 (2.2993) Prec@1 50.781 (47.461) Prec@5 74.609 (72.741)
Epoch: [88][3190/5005] Time 0.215 (0.211) Data 0.043 (0.047) Loss 2.3268 (2.2993) Prec@1 48.047 (47.462) Prec@5 74.219 (72.743)
Epoch: [88][3200/5005] Time 0.216 (0.211) Data 0.047 (0.047) Loss 2.3812 (2.2993) Prec@1 41.797 (47.459) Prec@5 72.266 (72.744)
Epoch: [88][3210/5005] Time 0.216 (0.211) Data 0.044 (0.047) Loss 2.4458 (2.2994) Prec@1 45.703 (47.461) Prec@5 69.141 (72.748)
Epoch: [88][3220/5005] Time 0.202 (0.211) Data 0.049 (0.047) Loss 2.3879 (2.2994) Prec@1 47.656 (47.461) Prec@5 69.141 (72.749)
Epoch: [88][3230/5005] Time 0.210 (0.211) Data 0.045 (0.047) Loss 2.2175 (2.2992) Prec@1 47.266 (47.465) Prec@5 76.172 (72.751)
Epoch: [88][3240/5005] Time 0.209 (0.211) Data 0.041 (0.047) Loss 2.4494 (2.2994) Prec@1 42.969 (47.458) Prec@5 73.047 (72.748)
Epoch: [88][3250/5005] Time 0.204 (0.211) Data 0.060 (0.047) Loss 2.2289 (2.2994) Prec@1 49.609 (47.457) Prec@5 74.219 (72.751)
Epoch: [88][3260/5005] Time 0.193 (0.211) Data 0.064 (0.047) Loss 2.2661 (2.2995) Prec@1 49.219 (47.453) Prec@5 73.828 (72.751)
Epoch: [88][3270/5005] Time 0.203 (0.211) Data 0.048 (0.047) Loss 2.3249 (2.2993) Prec@1 46.484 (47.455) Prec@5 68.750 (72.753)
Epoch: [88][3280/5005] Time 0.202 (0.211) Data 0.049 (0.047) Loss 2.2988 (2.2995) Prec@1 50.000 (47.450) Prec@5 69.141 (72.750)
Epoch: [88][3290/5005] Time 0.202 (0.211) Data 0.044 (0.047) Loss 2.3019 (2.2993) Prec@1 47.656 (47.456) Prec@5 68.359 (72.754)
Epoch: [88][3300/5005] Time 0.196 (0.211) Data 0.045 (0.047) Loss 2.1514 (2.2992) Prec@1 46.094 (47.457) Prec@5 76.172 (72.757)
Epoch: [88][3310/5005] Time 0.211 (0.211) Data 0.043 (0.047) Loss 2.2257 (2.2991) Prec@1 49.219 (47.458) Prec@5 74.219 (72.758)
Epoch: [88][3320/5005] Time 0.214 (0.211) Data 0.044 (0.047) Loss 2.3092 (2.2991) Prec@1 45.703 (47.455) Prec@5 73.438 (72.759)
Epoch: [88][3330/5005] Time 0.211 (0.211) Data 0.044 (0.047) Loss 2.4091 (2.2992) Prec@1 44.531 (47.456) Prec@5 67.969 (72.757)
Epoch: [88][3340/5005] Time 0.211 (0.211) Data 0.042 (0.047) Loss 2.3308 (2.2992) Prec@1 46.875 (47.457) Prec@5 74.219 (72.757)
Epoch: [88][3350/5005] Time 0.211 (0.211) Data 0.043 (0.047) Loss 2.4220 (2.2992) Prec@1 45.703 (47.456) Prec@5 70.703 (72.756)
Epoch: [88][3360/5005] Time 0.214 (0.211) Data 0.043 (0.047) Loss 2.1269 (2.2992) Prec@1 48.438 (47.456) Prec@5 76.172 (72.758)
Epoch: [88][3370/5005] Time 0.217 (0.211) Data 0.042 (0.047) Loss 2.3616 (2.2994) Prec@1 40.234 (47.451) Prec@5 71.484 (72.757)
Epoch: [88][3380/5005] Time 0.211 (0.211) Data 0.061 (0.047) Loss 2.4931 (2.2993) Prec@1 44.531 (47.451) Prec@5 69.922 (72.758)
Epoch: [88][3390/5005] Time 0.206 (0.211) Data 0.049 (0.047) Loss 2.2607 (2.2995) Prec@1 51.562 (47.448) Prec@5 71.875 (72.754)
Epoch: [88][3400/5005] Time 0.212 (0.211) Data 0.044 (0.047) Loss 2.1351 (2.2995) Prec@1 52.734 (47.451) Prec@5 75.781 (72.755)
Epoch: [88][3410/5005] Time 0.197 (0.211) Data 0.050 (0.047) Loss 2.1354 (2.2994) Prec@1 46.875 (47.450) Prec@5 76.172 (72.757)
Epoch: [88][3420/5005] Time 0.209 (0.211) Data 0.047 (0.047) Loss 2.2212 (2.2993) Prec@1 50.000 (47.450) Prec@5 73.047 (72.758)
Epoch: [88][3430/5005] Time 0.212 (0.211) Data 0.049 (0.047) Loss 2.2952 (2.2992) Prec@1 46.094 (47.451) Prec@5 71.484 (72.760)
Epoch: [88][3440/5005] Time 0.211 (0.211) Data 0.047 (0.047) Loss 2.2940 (2.2991) Prec@1 48.828 (47.452) Prec@5 74.609 (72.763)
Epoch: [88][3450/5005] Time 0.212 (0.211) Data 0.044 (0.047) Loss 2.1329 (2.2988) Prec@1 49.219 (47.457) Prec@5 76.562 (72.770)
Epoch: [88][3460/5005] Time 0.206 (0.211) Data 0.043 (0.047) Loss 2.2845 (2.2988) Prec@1 49.219 (47.459) Prec@5 71.875 (72.770)
Epoch: [88][3470/5005] Time 0.205 (0.211) Data 0.045 (0.047) Loss 2.1779 (2.2986) Prec@1 49.219 (47.462) Prec@5 73.828 (72.771)
Epoch: [88][3480/5005] Time 0.213 (0.211) Data 0.054 (0.047) Loss 2.3812 (2.2985) Prec@1 45.312 (47.462) Prec@5 70.312 (72.773)
Epoch: [88][3490/5005] Time 0.222 (0.211) Data 0.047 (0.047) Loss 2.3991 (2.2986) Prec@1 41.016 (47.458) Prec@5 71.484 (72.772)
Epoch: [88][3500/5005] Time 0.202 (0.211) Data 0.044 (0.047) Loss 2.0631 (2.2985) Prec@1 47.266 (47.456) Prec@5 77.734 (72.772)
Epoch: [88][3510/5005] Time 0.202 (0.211) Data 0.045 (0.047) Loss 2.1204 (2.2983) Prec@1 49.219 (47.457) Prec@5 74.219 (72.777)
Epoch: [88][3520/5005] Time 0.212 (0.211) Data 0.043 (0.047) Loss 2.3936 (2.2982) Prec@1 49.609 (47.460) Prec@5 74.219 (72.779)
Epoch: [88][3530/5005] Time 0.197 (0.211) Data 0.050 (0.047) Loss 2.2469 (2.2981) Prec@1 49.219 (47.465) Prec@5 74.609 (72.781)
Epoch: [88][3540/5005] Time 0.210 (0.211) Data 0.044 (0.047) Loss 2.2518 (2.2979) Prec@1 47.656 (47.467) Prec@5 71.484 (72.784)
Epoch: [88][3550/5005] Time 0.204 (0.211) Data 0.052 (0.047) Loss 2.4186 (2.2978) Prec@1 44.531 (47.470) Prec@5 68.750 (72.787)
Epoch: [88][3560/5005] Time 0.199 (0.211) Data 0.046 (0.047) Loss 2.2638 (2.2976) Prec@1 45.312 (47.471) Prec@5 72.656 (72.789)
Epoch: [88][3570/5005] Time 0.208 (0.211) Data 0.043 (0.047) Loss 2.3670 (2.2975) Prec@1 46.484 (47.471) Prec@5 71.484 (72.791)
Epoch: [88][3580/5005] Time 0.206 (0.211) Data 0.044 (0.047) Loss 2.1816 (2.2975) Prec@1 48.828 (47.473) Prec@5 73.438 (72.790)
Epoch: [88][3590/5005] Time 0.208 (0.211) Data 0.044 (0.047) Loss 2.3579 (2.2972) Prec@1 49.219 (47.479) Prec@5 72.656 (72.795)
Epoch: [88][3600/5005] Time 0.201 (0.211) Data 0.053 (0.047) Loss 2.2732 (2.2970) Prec@1 48.828 (47.481) Prec@5 71.875 (72.796)
Epoch: [88][3610/5005] Time 0.205 (0.211) Data 0.050 (0.047) Loss 2.1712 (2.2970) Prec@1 49.219 (47.482) Prec@5 75.391 (72.795)
Epoch: [88][3620/5005] Time 0.204 (0.211) Data 0.054 (0.047) Loss 2.5766 (2.2968) Prec@1 42.188 (47.486) Prec@5 66.797 (72.800)
Epoch: [88][3630/5005] Time 0.207 (0.211) Data 0.045 (0.047) Loss 2.5254 (2.2967) Prec@1 46.094 (47.486) Prec@5 67.578 (72.800)
Epoch: [88][3640/5005] Time 0.205 (0.211) Data 0.049 (0.047) Loss 2.2572 (2.2968) Prec@1 50.000 (47.486) Prec@5 74.219 (72.798)
Epoch: [88][3650/5005] Time 0.206 (0.211) Data 0.050 (0.047) Loss 2.0186 (2.2966) Prec@1 51.172 (47.490) Prec@5 77.344 (72.801)
Epoch: [88][3660/5005] Time 0.204 (0.211) Data 0.050 (0.047) Loss 2.4829 (2.2964) Prec@1 41.406 (47.493) Prec@5 69.922 (72.804)
Epoch: [88][3670/5005] Time 0.203 (0.211) Data 0.047 (0.047) Loss 2.4114 (2.2965) Prec@1 46.875 (47.490) Prec@5 71.875 (72.804)
Epoch: [88][3680/5005] Time 0.200 (0.211) Data 0.043 (0.047) Loss 2.1583 (2.2965) Prec@1 46.875 (47.493) Prec@5 76.562 (72.805)
Epoch: [88][3690/5005] Time 0.205 (0.211) Data 0.043 (0.047) Loss 2.0769 (2.2964) Prec@1 50.000 (47.495) Prec@5 79.297 (72.807)
Epoch: [88][3700/5005] Time 0.209 (0.211) Data 0.044 (0.047) Loss 2.3163 (2.2965) Prec@1 50.000 (47.495) Prec@5 69.922 (72.806)
Epoch: [88][3710/5005] Time 0.214 (0.211) Data 0.044 (0.047) Loss 2.1428 (2.2964) Prec@1 54.297 (47.498) Prec@5 73.438 (72.809)
Epoch: [88][3720/5005] Time 0.208 (0.211) Data 0.045 (0.047) Loss 2.4654 (2.2963) Prec@1 47.266 (47.500) Prec@5 71.484 (72.811)
Epoch: [88][3730/5005] Time 0.212 (0.211) Data 0.044 (0.047) Loss 2.0942 (2.2962) Prec@1 55.859 (47.501) Prec@5 76.953 (72.811)
Epoch: [88][3740/5005] Time 0.209 (0.211) Data 0.043 (0.047) Loss 2.3220 (2.2961) Prec@1 50.000 (47.503) Prec@5 69.531 (72.813)
Epoch: [88][3750/5005] Time 0.209 (0.211) Data 0.042 (0.047) Loss 2.2265 (2.2962) Prec@1 46.875 (47.502) Prec@5 72.266 (72.810)
Epoch: [88][3760/5005] Time 0.210 (0.211) Data 0.044 (0.047) Loss 2.2184 (2.2961) Prec@1 49.219 (47.500) Prec@5 71.094 (72.810)
Epoch: [88][3770/5005] Time 0.209 (0.211) Data 0.046 (0.047) Loss 2.2285 (2.2959) Prec@1 50.781 (47.501) Prec@5 73.438 (72.813)
Epoch: [88][3780/5005] Time 0.212 (0.211) Data 0.046 (0.047) Loss 2.2650 (2.2958) Prec@1 50.781 (47.502) Prec@5 72.266 (72.813)
Epoch: [88][3790/5005] Time 0.210 (0.211) Data 0.044 (0.047) Loss 2.3712 (2.2959) Prec@1 48.047 (47.500) Prec@5 73.047 (72.812)
Epoch: [88][3800/5005] Time 0.209 (0.211) Data 0.044 (0.047) Loss 2.1764 (2.2961) Prec@1 45.703 (47.497) Prec@5 73.438 (72.808)
Epoch: [88][3810/5005] Time 0.206 (0.211) Data 0.048 (0.047) Loss 2.1332 (2.2961) Prec@1 51.172 (47.497) Prec@5 75.391 (72.807)
Epoch: [88][3820/5005] Time 0.205 (0.210) Data 0.040 (0.047) Loss 2.2791 (2.2959) Prec@1 46.875 (47.501) Prec@5 75.781 (72.812)
Epoch: [88][3830/5005] Time 0.202 (0.210) Data 0.042 (0.047) Loss 2.3639 (2.2956) Prec@1 44.531 (47.504) Prec@5 72.656 (72.816)
Epoch: [88][3840/5005] Time 0.210 (0.210) Data 0.043 (0.047) Loss 2.5069 (2.2958) Prec@1 43.750 (47.503) Prec@5 66.797 (72.811)
Epoch: [88][3850/5005] Time 0.212 (0.210) Data 0.045 (0.047) Loss 2.3386 (2.2956) Prec@1 48.828 (47.503) Prec@5 74.219 (72.815)
Epoch: [88][3860/5005] Time 0.211 (0.210) Data 0.042 (0.047) Loss 2.1634 (2.2957) Prec@1 48.047 (47.503) Prec@5 76.172 (72.815)
Epoch: [88][3870/5005] Time 0.203 (0.210) Data 0.043 (0.047) Loss 2.2523 (2.2958) Prec@1 48.047 (47.501) Prec@5 73.438 (72.814)
Epoch: [88][3880/5005] Time 0.205 (0.210) Data 0.049 (0.047) Loss 2.1773 (2.2957) Prec@1 49.609 (47.501) Prec@5 75.781 (72.816)
Epoch: [88][3890/5005] Time 0.214 (0.210) Data 0.046 (0.047) Loss 2.4779 (2.2958) Prec@1 44.141 (47.502) Prec@5 73.047 (72.816)
Epoch: [88][3900/5005] Time 0.205 (0.210) Data 0.047 (0.047) Loss 2.4072 (2.2959) Prec@1 45.703 (47.502) Prec@5 73.047 (72.815)
Epoch: [88][3910/5005] Time 0.210 (0.210) Data 0.042 (0.047) Loss 2.3642 (2.2959) Prec@1 45.703 (47.505) Prec@5 71.484 (72.817)
Epoch: [88][3920/5005] Time 0.216 (0.210) Data 0.041 (0.047) Loss 2.2587 (2.2959) Prec@1 46.094 (47.503) Prec@5 74.219 (72.816)
Epoch: [88][3930/5005] Time 0.981 (0.211) Data 0.038 (0.047) Loss 2.2165 (2.2957) Prec@1 45.703 (47.505) Prec@5 72.656 (72.818)
Epoch: [88][3940/5005] Time 0.208 (0.211) Data 0.043 (0.047) Loss 2.1578 (2.2957) Prec@1 50.391 (47.505) Prec@5 73.828 (72.818)
Epoch: [88][3950/5005] Time 0.198 (0.211) Data 0.067 (0.047) Loss 2.1119 (2.2954) Prec@1 50.391 (47.508) Prec@5 79.297 (72.824)
Epoch: [88][3960/5005] Time 0.208 (0.211) Data 0.047 (0.047) Loss 2.2914 (2.2953) Prec@1 46.875 (47.507) Prec@5 73.438 (72.826)
Epoch: [88][3970/5005] Time 0.200 (0.211) Data 0.047 (0.047) Loss 2.2953 (2.2952) Prec@1 44.922 (47.506) Prec@5 71.875 (72.827)
Epoch: [88][3980/5005] Time 0.209 (0.211) Data 0.042 (0.047) Loss 2.0853 (2.2951) Prec@1 50.391 (47.509) Prec@5 75.391 (72.830)
Epoch: [88][3990/5005] Time 0.206 (0.211) Data 0.046 (0.047) Loss 2.3597 (2.2952) Prec@1 42.969 (47.505) Prec@5 70.312 (72.828)
Epoch: [88][4000/5005] Time 0.205 (0.211) Data 0.063 (0.047) Loss 2.1982 (2.2951) Prec@1 47.656 (47.505) Prec@5 75.391 (72.829)
Epoch: [88][4010/5005] Time 0.205 (0.210) Data 0.049 (0.047) Loss 2.3242 (2.2950) Prec@1 45.312 (47.506) Prec@5 69.922 (72.832)
Epoch: [88][4020/5005] Time 0.212 (0.210) Data 0.044 (0.047) Loss 2.3441 (2.2950) Prec@1 41.797 (47.503) Prec@5 73.438 (72.832)
Epoch: [88][4030/5005] Time 0.196 (0.210) Data 0.044 (0.047) Loss 2.4863 (2.2952) Prec@1 42.969 (47.500) Prec@5 71.094 (72.827)
Epoch: [88][4040/5005] Time 0.212 (0.210) Data 0.055 (0.047) Loss 2.2899 (2.2953) Prec@1 50.000 (47.499) Prec@5 71.484 (72.827)
Epoch: [88][4050/5005] Time 0.209 (0.210) Data 0.046 (0.047) Loss 2.6173 (2.2953) Prec@1 39.062 (47.497) Prec@5 66.797 (72.826)
Epoch: [88][4060/5005] Time 0.209 (0.210) Data 0.045 (0.047) Loss 2.2606 (2.2953) Prec@1 43.359 (47.496) Prec@5 73.047 (72.827)
Epoch: [88][4070/5005] Time 0.212 (0.210) Data 0.045 (0.047) Loss 2.4477 (2.2954) Prec@1 44.922 (47.495) Prec@5 71.875 (72.827)
Epoch: [88][4080/5005] Time 0.204 (0.210) Data 0.043 (0.047) Loss 2.2150 (2.2953) Prec@1 48.047 (47.497) Prec@5 73.828 (72.827)
Epoch: [88][4090/5005] Time 0.212 (0.210) Data 0.044 (0.047) Loss 2.4186 (2.2953) Prec@1 48.828 (47.500) Prec@5 73.047 (72.829)
Epoch: [88][4100/5005] Time 0.209 (0.210) Data 0.058 (0.047) Loss 2.1997 (2.2952) Prec@1 50.000 (47.499) Prec@5 74.219 (72.827)
Epoch: [88][4110/5005] Time 0.212 (0.210) Data 0.044 (0.047) Loss 2.4476 (2.2952) Prec@1 44.531 (47.499) Prec@5 72.656 (72.828)
Epoch: [88][4120/5005] Time 0.203 (0.210) Data 0.048 (0.047) Loss 2.3529 (2.2951) Prec@1 45.312 (47.499) Prec@5 71.875 (72.831)
Epoch: [88][4130/5005] Time 0.200 (0.210) Data 0.042 (0.047) Loss 2.5037 (2.2951) Prec@1 42.578 (47.500) Prec@5 67.578 (72.831)
Epoch: [88][4140/5005] Time 0.206 (0.210) Data 0.048 (0.047) Loss 2.2503 (2.2950) Prec@1 48.047 (47.501) Prec@5 73.828 (72.832)
Epoch: [88][4150/5005] Time 0.209 (0.210) Data 0.047 (0.047) Loss 2.4026 (2.2951) Prec@1 46.094 (47.500) Prec@5 73.047 (72.832)
Epoch: [88][4160/5005] Time 0.211 (0.210) Data 0.048 (0.047) Loss 2.3650 (2.2952) Prec@1 44.531 (47.498) Prec@5 73.438 (72.832)
Epoch: [88][4170/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.2147 (2.2952) Prec@1 47.656 (47.501) Prec@5 74.219 (72.832)
Epoch: [88][4180/5005] Time 0.219 (0.210) Data 0.046 (0.047) Loss 2.1673 (2.2951) Prec@1 52.734 (47.502) Prec@5 75.000 (72.834)
Epoch: [88][4190/5005] Time 0.208 (0.210) Data 0.045 (0.047) Loss 2.2414 (2.2952) Prec@1 43.359 (47.499) Prec@5 71.094 (72.831)
Epoch: [88][4200/5005] Time 0.214 (0.210) Data 0.045 (0.047) Loss 2.1583 (2.2952) Prec@1 49.219 (47.497) Prec@5 72.266 (72.830)
Epoch: [88][4210/5005] Time 0.203 (0.210) Data 0.046 (0.047) Loss 2.1781 (2.2950) Prec@1 48.047 (47.503) Prec@5 76.172 (72.832)
Epoch: [88][4220/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.3998 (2.2952) Prec@1 46.875 (47.502) Prec@5 72.656 (72.829)
Epoch: [88][4230/5005] Time 0.202 (0.210) Data 0.045 (0.047) Loss 2.3826 (2.2953) Prec@1 44.141 (47.499) Prec@5 70.703 (72.829)
Epoch: [88][4240/5005] Time 0.205 (0.210) Data 0.045 (0.047) Loss 2.1845 (2.2952) Prec@1 48.438 (47.497) Prec@5 76.562 (72.830)
Epoch: [88][4250/5005] Time 0.212 (0.210) Data 0.046 (0.047) Loss 2.1875 (2.2950) Prec@1 51.172 (47.500) Prec@5 74.219 (72.834)
Epoch: [88][4260/5005] Time 0.205 (0.210) Data 0.057 (0.047) Loss 2.3042 (2.2950) Prec@1 44.922 (47.500) Prec@5 72.656 (72.834)
Epoch: [88][4270/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.4235 (2.2951) Prec@1 46.875 (47.500) Prec@5 72.266 (72.832)
Epoch: [88][4280/5005] Time 0.205 (0.210) Data 0.044 (0.047) Loss 2.3620 (2.2950) Prec@1 46.484 (47.502) Prec@5 72.656 (72.831)
Epoch: [88][4290/5005] Time 0.210 (0.210) Data 0.038 (0.047) Loss 2.4131 (2.2950) Prec@1 45.312 (47.504) Prec@5 69.141 (72.831)
Epoch: [88][4300/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.0819 (2.2948) Prec@1 50.000 (47.506) Prec@5 76.172 (72.833)
Epoch: [88][4310/5005] Time 0.216 (0.210) Data 0.042 (0.047) Loss 2.2002 (2.2948) Prec@1 49.609 (47.507) Prec@5 73.438 (72.833)
Epoch: [88][4320/5005] Time 0.214 (0.210) Data 0.042 (0.047) Loss 2.3276 (2.2948) Prec@1 50.000 (47.509) Prec@5 73.438 (72.833)
Epoch: [88][4330/5005] Time 0.205 (0.210) Data 0.040 (0.047) Loss 2.2096 (2.2948) Prec@1 46.094 (47.508) Prec@5 75.000 (72.830)
Epoch: [88][4340/5005] Time 0.212 (0.210) Data 0.043 (0.047) Loss 2.3489 (2.2950) Prec@1 47.656 (47.507) Prec@5 69.922 (72.828)
Epoch: [88][4350/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.2549 (2.2948) Prec@1 48.828 (47.509) Prec@5 73.047 (72.829)
Epoch: [88][4360/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.0937 (2.2948) Prec@1 48.828 (47.509) Prec@5 78.125 (72.832)
Epoch: [88][4370/5005] Time 0.209 (0.210) Data 0.043 (0.047) Loss 2.1551 (2.2947) Prec@1 48.438 (47.512) Prec@5 76.172 (72.832)
Epoch: [88][4380/5005] Time 0.205 (0.210) Data 0.043 (0.047) Loss 2.3184 (2.2947) Prec@1 44.141 (47.510) Prec@5 71.484 (72.833)
Epoch: [88][4390/5005] Time 0.215 (0.210) Data 0.042 (0.047) Loss 2.4374 (2.2946) Prec@1 46.484 (47.513) Prec@5 69.531 (72.836)
Epoch: [88][4400/5005] Time 0.201 (0.210) Data 0.046 (0.047) Loss 2.1667 (2.2946) Prec@1 49.609 (47.515) Prec@5 76.953 (72.838)
Epoch: [88][4410/5005] Time 0.213 (0.210) Data 0.042 (0.047) Loss 2.2472 (2.2945) Prec@1 45.312 (47.516) Prec@5 71.875 (72.837)
Epoch: [88][4420/5005] Time 0.213 (0.210) Data 0.042 (0.047) Loss 2.0097 (2.2944) Prec@1 53.906 (47.515) Prec@5 77.734 (72.838)
Epoch: [88][4430/5005] Time 0.213 (0.210) Data 0.046 (0.047) Loss 2.3885 (2.2942) Prec@1 44.531 (47.519) Prec@5 69.531 (72.840)
Epoch: [88][4440/5005] Time 0.210 (0.210) Data 0.041 (0.047) Loss 2.4440 (2.2942) Prec@1 47.656 (47.520) Prec@5 69.922 (72.841)
Epoch: [88][4450/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.1830 (2.2942) Prec@1 48.047 (47.521) Prec@5 75.391 (72.841)
Epoch: [88][4460/5005] Time 0.213 (0.210) Data 0.044 (0.047) Loss 2.3505 (2.2940) Prec@1 46.484 (47.524) Prec@5 73.828 (72.844)
Epoch: [88][4470/5005] Time 0.215 (0.210) Data 0.046 (0.047) Loss 2.2208 (2.2941) Prec@1 47.656 (47.522) Prec@5 73.438 (72.843)
Epoch: [88][4480/5005] Time 0.210 (0.210) Data 0.042 (0.047) Loss 2.1587 (2.2941) Prec@1 49.219 (47.521) Prec@5 74.219 (72.842)
Epoch: [88][4490/5005] Time 0.203 (0.210) Data 0.049 (0.047) Loss 2.2354 (2.2942) Prec@1 49.219 (47.520) Prec@5 75.391 (72.841)
Epoch: [88][4500/5005] Time 0.216 (0.210) Data 0.041 (0.047) Loss 2.3006 (2.2942) Prec@1 45.703 (47.521) Prec@5 73.438 (72.842)
Epoch: [88][4510/5005] Time 0.204 (0.210) Data 0.045 (0.047) Loss 2.1796 (2.2942) Prec@1 50.391 (47.519) Prec@5 73.438 (72.842)
Epoch: [88][4520/5005] Time 0.198 (0.210) Data 0.047 (0.047) Loss 2.1783 (2.2941) Prec@1 53.125 (47.522) Prec@5 78.906 (72.844)
Epoch: [88][4530/5005] Time 0.213 (0.210) Data 0.041 (0.047) Loss 2.0852 (2.2940) Prec@1 51.562 (47.525) Prec@5 78.125 (72.844)
Epoch: [88][4540/5005] Time 0.207 (0.210) Data 0.054 (0.047) Loss 2.4222 (2.2942) Prec@1 45.703 (47.524) Prec@5 71.484 (72.840)
Epoch: [88][4550/5005] Time 0.205 (0.210) Data 0.044 (0.047) Loss 2.2962 (2.2941) Prec@1 48.438 (47.525) Prec@5 69.922 (72.840)
Epoch: [88][4560/5005] Time 0.214 (0.210) Data 0.044 (0.047) Loss 2.2048 (2.2941) Prec@1 55.469 (47.528) Prec@5 73.047 (72.840)
Epoch: [88][4570/5005] Time 0.216 (0.210) Data 0.042 (0.047) Loss 2.1634 (2.2939) Prec@1 52.734 (47.531) Prec@5 74.219 (72.841)
Epoch: [88][4580/5005] Time 0.211 (0.210) Data 0.042 (0.047) Loss 2.4411 (2.2938) Prec@1 44.922 (47.534) Prec@5 66.797 (72.842)
Epoch: [88][4590/5005] Time 0.198 (0.210) Data 0.047 (0.047) Loss 2.1825 (2.2938) Prec@1 49.609 (47.536) Prec@5 76.172 (72.843)
Epoch: [88][4600/5005] Time 0.214 (0.210) Data 0.042 (0.047) Loss 2.1523 (2.2939) Prec@1 48.828 (47.536) Prec@5 76.172 (72.842)
Epoch: [88][4610/5005] Time 0.210 (0.210) Data 0.043 (0.047) Loss 2.1114 (2.2938) Prec@1 51.172 (47.538) Prec@5 75.391 (72.843)
Epoch: [88][4620/5005] Time 0.204 (0.210) Data 0.061 (0.047) Loss 2.3424 (2.2938) Prec@1 47.266 (47.536) Prec@5 71.484 (72.843)
Epoch: [88][4630/5005] Time 0.197 (0.210) Data 0.047 (0.047) Loss 2.1117 (2.2936) Prec@1 52.344 (47.541) Prec@5 75.781 (72.847)
Epoch: [88][4640/5005] Time 0.205 (0.210) Data 0.047 (0.047) Loss 2.4488 (2.2936) Prec@1 47.266 (47.542) Prec@5 71.094 (72.849)
Epoch: [88][4650/5005] Time 0.201 (0.210) Data 0.050 (0.047) Loss 2.3507 (2.2936) Prec@1 41.016 (47.541) Prec@5 71.484 (72.851)
Epoch: [88][4660/5005] Time 0.195 (0.210) Data 0.047 (0.047) Loss 2.6054 (2.2935) Prec@1 40.625 (47.541) Prec@5 64.844 (72.850)
Epoch: [88][4670/5005] Time 0.206 (0.210) Data 0.047 (0.047) Loss 2.2296 (2.2934) Prec@1 46.484 (47.539) Prec@5 71.094 (72.851)
Epoch: [88][4680/5005] Time 0.216 (0.210) Data 0.041 (0.047) Loss 2.2636 (2.2934) Prec@1 47.266 (47.538) Prec@5 75.391 (72.851)
Epoch: [88][4690/5005] Time 0.195 (0.210) Data 0.050 (0.047) Loss 2.2243 (2.2934) Prec@1 47.266 (47.537) Prec@5 75.000 (72.852)
Epoch: [88][4700/5005] Time 0.206 (0.210) Data 0.048 (0.047) Loss 2.3025 (2.2934) Prec@1 46.094 (47.539) Prec@5 73.047 (72.852)
Epoch: [88][4710/5005] Time 0.215 (0.210) Data 0.049 (0.047) Loss 2.3221 (2.2932) Prec@1 47.656 (47.542) Prec@5 70.312 (72.856)
Epoch: [88][4720/5005] Time 0.198 (0.210) Data 0.048 (0.047) Loss 2.1819 (2.2932) Prec@1 50.391 (47.540) Prec@5 75.781 (72.855)
Epoch: [88][4730/5005] Time 0.208 (0.210) Data 0.052 (0.047) Loss 2.2292 (2.2933) Prec@1 48.047 (47.538) Prec@5 75.000 (72.854)
Epoch: [88][4740/5005] Time 0.194 (0.210) Data 0.047 (0.047) Loss 2.2912 (2.2933) Prec@1 45.703 (47.539) Prec@5 72.656 (72.855)
Epoch: [88][4750/5005] Time 0.204 (0.210) Data 0.044 (0.047) Loss 2.2724 (2.2933) Prec@1 48.047 (47.541) Prec@5 70.312 (72.856)
Epoch: [88][4760/5005] Time 0.204 (0.210) Data 0.042 (0.047) Loss 2.4570 (2.2931) Prec@1 43.359 (47.543) Prec@5 70.312 (72.857)
Epoch: [88][4770/5005] Time 0.209 (0.210) Data 0.044 (0.047) Loss 2.1809 (2.2931) Prec@1 49.219 (47.542) Prec@5 72.656 (72.858)
Epoch: [88][4780/5005] Time 0.201 (0.210) Data 0.044 (0.047) Loss 2.2484 (2.2931) Prec@1 46.484 (47.545) Prec@5 73.047 (72.857)
Epoch: [88][4790/5005] Time 0.203 (0.210) Data 0.049 (0.047) Loss 2.4805 (2.2931) Prec@1 41.016 (47.545) Prec@5 69.141 (72.856)
Epoch: [88][4800/5005] Time 0.207 (0.210) Data 0.051 (0.047) Loss 2.2778 (2.2931) Prec@1 47.266 (47.545) Prec@5 74.219 (72.856)
Epoch: [88][4810/5005] Time 0.206 (0.210) Data 0.046 (0.047) Loss 2.4289 (2.2931) Prec@1 48.828 (47.545) Prec@5 70.312 (72.856)
Epoch: [88][4820/5005] Time 0.206 (0.210) Data 0.047 (0.047) Loss 2.4256 (2.2931) Prec@1 48.047 (47.547) Prec@5 71.094 (72.856)
Epoch: [88][4830/5005] Time 0.216 (0.210) Data 0.046 (0.047) Loss 2.3508 (2.2929) Prec@1 46.094 (47.551) Prec@5 72.266 (72.858)
Epoch: [88][4840/5005] Time 0.196 (0.210) Data 0.041 (0.047) Loss 2.1386 (2.2930) Prec@1 48.828 (47.549) Prec@5 74.219 (72.856)
Epoch: [88][4850/5005] Time 0.210 (0.210) Data 0.046 (0.047) Loss 2.2798 (2.2931) Prec@1 47.656 (47.550) Prec@5 74.609 (72.855)
Epoch: [88][4860/5005] Time 0.223 (0.210) Data 0.048 (0.047) Loss 2.2478 (2.2930) Prec@1 48.047 (47.551) Prec@5 73.438 (72.858)
Epoch: [88][4870/5005] Time 0.209 (0.210) Data 0.045 (0.047) Loss 2.2096 (2.2930) Prec@1 52.734 (47.552) Prec@5 71.875 (72.856)
Epoch: [88][4880/5005] Time 0.207 (0.210) Data 0.050 (0.047) Loss 2.1938 (2.2930) Prec@1 48.438 (47.553) Prec@5 73.828 (72.857)
Epoch: [88][4890/5005] Time 0.210 (0.210) Data 0.054 (0.047) Loss 2.3861 (2.2929) Prec@1 44.922 (47.552) Prec@5 71.484 (72.859)
Epoch: [88][4900/5005] Time 0.210 (0.210) Data 0.051 (0.047) Loss 2.1848 (2.2928) Prec@1 51.562 (47.554) Prec@5 71.484 (72.859)
Epoch: [88][4910/5005] Time 0.201 (0.210) Data 0.052 (0.047) Loss 2.3769 (2.2926) Prec@1 46.484 (47.557) Prec@5 71.875 (72.862)
Epoch: [88][4920/5005] Time 0.211 (0.210) Data 0.043 (0.047) Loss 2.2420 (2.2925) Prec@1 46.094 (47.557) Prec@5 72.266 (72.861)
Epoch: [88][4930/5005] Time 0.203 (0.210) Data 0.042 (0.047) Loss 2.4861 (2.2924) Prec@1 47.266 (47.561) Prec@5 69.922 (72.865)
Epoch: [88][4940/5005] Time 0.208 (0.210) Data 0.042 (0.047) Loss 2.1437 (2.2924) Prec@1 51.953 (47.563) Prec@5 76.953 (72.864)
Epoch: [88][4950/5005] Time 0.208 (0.210) Data 0.044 (0.047) Loss 2.0232 (2.2924) Prec@1 53.516 (47.563) Prec@5 76.172 (72.864)
Epoch: [88][4960/5005] Time 0.211 (0.210) Data 0.042 (0.047) Loss 2.4318 (2.2924) Prec@1 47.656 (47.566) Prec@5 71.094 (72.865)
Epoch: [88][4970/5005] Time 0.218 (0.210) Data 0.046 (0.047) Loss 2.2716 (2.2922) Prec@1 48.047 (47.567) Prec@5 70.703 (72.868)
Epoch: [88][4980/5005] Time 0.212 (0.210) Data 0.042 (0.047) Loss 2.3029 (2.2921) Prec@1 46.875 (47.566) Prec@5 71.875 (72.871)
Epoch: [88][4990/5005] Time 0.203 (0.210) Data 0.025 (0.047) Loss 2.3851 (2.2921) Prec@1 43.359 (47.567) Prec@5 71.875 (72.872)
Epoch: [88][5000/5005] Time 0.205 (0.210) Data 0.021 (0.047) Loss 2.3788 (2.2921) Prec@1 44.141 (47.567) Prec@5 72.656 (72.871)
Test: [0/196] Time 1.349 (1.349) Loss 2.3787 (2.3787) Prec@1 50.391 (50.391) Prec@5 71.484 (71.484)
Test: [10/196] Time 0.047 (0.286) Loss 2.4480 (2.5367) Prec@1 46.094 (44.638) Prec@5 70.703 (69.460)
Test: [20/196] Time 0.042 (0.222) Loss 2.3918 (2.5350) Prec@1 47.656 (44.252) Prec@5 73.047 (69.680)
Test: [30/196] Time 0.090 (0.202) Loss 2.4715 (2.5439) Prec@1 44.922 (44.052) Prec@5 71.484 (69.468)
Test: [40/196] Time 0.043 (0.200) Loss 2.3185 (2.5369) Prec@1 50.391 (44.331) Prec@5 73.047 (69.636)
Test: [50/196] Time 0.052 (0.197) Loss 2.6129 (2.5343) Prec@1 46.094 (44.508) Prec@5 72.266 (69.799)
Test: [60/196] Time 0.108 (0.192) Loss 2.4257 (2.5222) Prec@1 48.828 (44.640) Prec@5 69.922 (69.851)
Test: [70/196] Time 0.235 (0.187) Loss 2.4471 (2.5153) Prec@1 47.266 (44.564) Prec@5 67.969 (69.856)
Test: [80/196] Time 0.189 (0.186) Loss 2.4101 (2.5219) Prec@1 51.562 (44.570) Prec@5 78.516 (69.898)
Test: [90/196] Time 0.043 (0.192) Loss 2.6446 (2.5242) Prec@1 44.141 (44.694) Prec@5 67.578 (69.845)
Test: [100/196] Time 0.044 (0.189) Loss 2.5223 (2.5212) Prec@1 45.312 (44.860) Prec@5 67.188 (69.841)
Test: [110/196] Time 0.042 (0.184) Loss 2.7008 (2.5244) Prec@1 41.016 (44.851) Prec@5 67.578 (69.809)
Test: [120/196] Time 0.043 (0.183) Loss 2.3310 (2.5207) Prec@1 48.438 (44.893) Prec@5 72.656 (69.854)
Test: [130/196] Time 0.048 (0.188) Loss 2.2035 (2.5160) Prec@1 48.438 (44.934) Prec@5 75.000 (69.919)
Test: [140/196] Time 0.242 (0.184) Loss 2.3405 (2.5177) Prec@1 49.219 (44.922) Prec@5 71.484 (69.864)
Test: [150/196] Time 0.044 (0.182) Loss 2.1404 (2.5158) Prec@1 50.391 (44.917) Prec@5 79.297 (69.945)
Test: [160/196] Time 0.042 (0.181) Loss 2.4510 (2.5148) Prec@1 49.609 (44.927) Prec@5 68.359 (69.944)
Test: [170/196] Time 0.042 (0.181) Loss 2.4354 (2.5167) Prec@1 46.094 (44.920) Prec@5 75.000 (69.940)
Test: [180/196] Time 0.043 (0.179) Loss 2.7149 (2.5215) Prec@1 41.406 (44.816) Prec@5 67.188 (69.816)
Test: [190/196] Time 0.125 (0.181) Loss 2.7323 (2.5244) Prec@1 41.406 (44.748) Prec@5 63.672 (69.703)
* Prec@1 44.760 Prec@5 69.712
Learning rate: 1e-06
Epoch: [89][0/5005] Time 1.124 (1.124) Data 1.001 (1.001) Loss 2.2079 (2.2079) Prec@1 47.656 (47.656) Prec@5 73.438 (73.438)
Epoch: [89][10/5005] Time 0.210 (0.286) Data 0.043 (0.135) Loss 2.2794 (2.3213) Prec@1 47.656 (46.413) Prec@5 73.828 (73.153)
Epoch: [89][20/5005] Time 0.207 (0.247) Data 0.044 (0.092) Loss 2.5369 (2.3279) Prec@1 48.047 (46.670) Prec@5 69.922 (72.712)
Epoch: [89][30/5005] Time 0.208 (0.234) Data 0.045 (0.076) Loss 2.2514 (2.2948) Prec@1 47.266 (47.354) Prec@5 69.922 (72.921)
Epoch: [89][40/5005] Time 0.206 (0.227) Data 0.041 (0.068) Loss 2.2458 (2.2960) Prec@1 47.266 (47.075) Prec@5 72.266 (72.856)
Epoch: [89][50/5005] Time 0.207 (0.223) Data 0.044 (0.064) Loss 2.1088 (2.3001) Prec@1 48.047 (46.852) Prec@5 78.516 (72.817)
Epoch: [89][60/5005] Time 0.204 (0.220) Data 0.043 (0.060) Loss 2.3107 (2.3005) Prec@1 41.797 (46.734) Prec@5 73.438 (72.759)
Epoch: [89][70/5005] Time 0.205 (0.218) Data 0.044 (0.058) Loss 2.4945 (2.3088) Prec@1 43.750 (46.699) Prec@5 71.094 (72.722)
Epoch: [89][80/5005] Time 0.196 (0.216) Data 0.043 (0.056) Loss 2.1798 (2.3043) Prec@1 49.219 (46.832) Prec@5 76.172 (72.796)
Epoch: [89][90/5005] Time 0.209 (0.215) Data 0.045 (0.055) Loss 2.4123 (2.3050) Prec@1 47.656 (46.922) Prec@5 71.094 (72.738)
Epoch: [89][100/5005] Time 0.209 (0.214) Data 0.045 (0.054) Loss 2.2475 (2.3072) Prec@1 42.969 (46.805) Prec@5 74.609 (72.676)
Epoch: [89][110/5005] Time 0.201 (0.213) Data 0.043 (0.053) Loss 2.4544 (2.3100) Prec@1 49.219 (46.935) Prec@5 70.312 (72.579)
Epoch: [89][120/5005] Time 0.196 (0.212) Data 0.042 (0.053) Loss 2.4138 (2.3159) Prec@1 43.359 (46.878) Prec@5 68.359 (72.414)
Epoch: [89][130/5005] Time 0.208 (0.212) Data 0.046 (0.052) Loss 2.5474 (2.3151) Prec@1 44.531 (46.967) Prec@5 69.531 (72.477)
Epoch: [89][140/5005] Time 0.207 (0.211) Data 0.042 (0.051) Loss 2.4055 (2.3137) Prec@1 45.703 (47.014) Prec@5 69.531 (72.512)
Epoch: [89][150/5005] Time 0.187 (0.211) Data 0.063 (0.051) Loss 2.4365 (2.3126) Prec@1 45.703 (47.046) Prec@5 68.750 (72.620)
Epoch: [89][160/5005] Time 0.199 (0.210) Data 0.050 (0.051) Loss 2.1757 (2.3120) Prec@1 48.828 (47.018) Prec@5 75.781 (72.690)
Epoch: [89][170/5005] Time 0.215 (0.210) Data 0.044 (0.051) Loss 2.4164 (2.3127) Prec@1 44.141 (47.021) Prec@5 71.484 (72.675)
Epoch: [89][180/5005] Time 0.221 (0.210) Data 0.044 (0.051) Loss 2.4541 (2.3137) Prec@1 48.438 (46.983) Prec@5 67.969 (72.671)
Epoch: [89][190/5005] Time 0.208 (0.210) Data 0.046 (0.051) Loss 2.5857 (2.3186) Prec@1 43.750 (46.834) Prec@5 67.578 (72.628)
Epoch: [89][200/5005] Time 0.220 (0.211) Data 0.042 (0.050) Loss 2.5054 (2.3190) Prec@1 43.750 (46.844) Prec@5 71.094 (72.608)
Epoch: [89][210/5005] Time 0.222 (0.211) Data 0.048 (0.050) Loss 2.1858 (2.3186) Prec@1 51.953 (46.855) Prec@5 74.219 (72.584)
Epoch: [89][220/5005] Time 0.221 (0.212) Data 0.047 (0.050) Loss 2.4937 (2.3190) Prec@1 46.875 (46.893) Prec@5 71.094 (72.564)
Epoch: [89][230/5005] Time 0.229 (0.212) Data 0.047 (0.050) Loss 2.2910 (2.3187) Prec@1 49.219 (46.936) Prec@5 71.094 (72.578)
Epoch: [89][240/5005] Time 0.225 (0.212) Data 0.044 (0.050) Loss 2.2946 (2.3182) Prec@1 45.703 (46.946) Prec@5 70.312 (72.574)
Epoch: [89][250/5005] Time 0.218 (0.213) Data 0.046 (0.050) Loss 2.3525 (2.3167) Prec@1 43.359 (47.034) Prec@5 74.609 (72.577)
Epoch: [89][260/5005] Time 0.206 (0.213) Data 0.066 (0.050) Loss 1.8781 (2.3147) Prec@1 49.219 (47.065) Prec@5 78.906 (72.590)
Epoch: [89][270/5005] Time 0.221 (0.213) Data 0.043 (0.050) Loss 2.4211 (2.3153) Prec@1 45.312 (47.090) Prec@5 73.047 (72.578)
Epoch: [89][280/5005] Time 0.217 (0.213) Data 0.043 (0.049) Loss 2.7168 (2.3169) Prec@1 43.359 (47.049) Prec@5 65.625 (72.546)
Epoch: [89][290/5005] Time 0.219 (0.213) Data 0.049 (0.049) Loss 2.0729 (2.3184) Prec@1 50.391 (47.000) Prec@5 76.172 (72.484)
Epoch: [89][300/5005] Time 0.204 (0.213) Data 0.054 (0.049) Loss 2.1999 (2.3186) Prec@1 50.000 (47.011) Prec@5 73.047 (72.502)
Epoch: [89][310/5005] Time 0.206 (0.213) Data 0.052 (0.049) Loss 2.1811 (2.3163) Prec@1 50.781 (47.060) Prec@5 74.219 (72.533)
Epoch: [89][320/5005] Time 0.219 (0.213) Data 0.048 (0.049) Loss 2.5357 (2.3185) Prec@1 43.359 (47.078) Prec@5 68.750 (72.500)
Epoch: [89][330/5005] Time 0.217 (0.213) Data 0.048 (0.049) Loss 2.1344 (2.3172) Prec@1 49.219 (47.071) Prec@5 75.781 (72.524)
Epoch: [89][340/5005] Time 0.224 (0.213) Data 0.044 (0.049) Loss 2.5297 (2.3219) Prec@1 43.750 (47.023) Prec@5 70.703 (72.444)
Epoch: [89][350/5005] Time 0.224 (0.213) Data 0.042 (0.049) Loss 2.3919 (2.3213) Prec@1 45.312 (47.031) Prec@5 69.531 (72.458)
Epoch: [89][360/5005] Time 0.217 (0.213) Data 0.044 (0.049) Loss 2.4704 (2.3207) Prec@1 44.141 (47.054) Prec@5 68.750 (72.442)
Epoch: [89][370/5005] Time 0.215 (0.213) Data 0.055 (0.049) Loss 2.3004 (2.3184) Prec@1 47.266 (47.070) Prec@5 75.391 (72.488)
Epoch: [89][380/5005] Time 0.206 (0.213) Data 0.054 (0.049) Loss 2.4316 (2.3198) Prec@1 47.656 (47.063) Prec@5 68.359 (72.435)
Epoch: [89][390/5005] Time 0.223 (0.213) Data 0.044 (0.049) Loss 2.2781 (2.3199) Prec@1 51.562 (47.083) Prec@5 73.438 (72.450)
Epoch: [89][400/5005] Time 0.220 (0.213) Data 0.047 (0.049) Loss 2.2837 (2.3187) Prec@1 47.656 (47.105) Prec@5 72.656 (72.476)
Epoch: [89][410/5005] Time 0.213 (0.213) Data 0.046 (0.049) Loss 2.2704 (2.3172) Prec@1 43.750 (47.110) Prec@5 71.875 (72.497)
Epoch: [89][420/5005] Time 0.217 (0.213) Data 0.047 (0.049) Loss 2.2730 (2.3170) Prec@1 50.000 (47.116) Prec@5 74.609 (72.520)
Epoch: [89][430/5005] Time 0.212 (0.213) Data 0.053 (0.049) Loss 2.2255 (2.3174) Prec@1 55.078 (47.134) Prec@5 74.609 (72.523)
Epoch: [89][440/5005] Time 0.211 (0.213) Data 0.042 (0.049) Loss 2.2571 (2.3170) Prec@1 46.875 (47.100) Prec@5 71.484 (72.543)
Epoch: [89][450/5005] Time 0.212 (0.213) Data 0.058 (0.049) Loss 2.2100 (2.3184) Prec@1 46.484 (47.066) Prec@5 75.781 (72.519)
Epoch: [89][460/5005] Time 0.222 (0.213) Data 0.044 (0.049) Loss 2.2555 (2.3185) Prec@1 46.094 (47.056) Prec@5 71.484 (72.521)
Epoch: [89][470/5005] Time 0.206 (0.213) Data 0.062 (0.049) Loss 2.2427 (2.3188) Prec@1 45.703 (47.048) Prec@5 70.312 (72.523)
Epoch: [89][480/5005] Time 0.213 (0.213) Data 0.044 (0.049) Loss 2.4170 (2.3189) Prec@1 46.094 (47.052) Prec@5 69.531 (72.524)
Epoch: [89][490/5005] Time 0.215 (0.213) Data 0.052 (0.049) Loss 2.2277 (2.3192) Prec@1 50.000 (47.034) Prec@5 71.875 (72.511)
Epoch: [89][500/5005] Time 0.201 (0.213) Data 0.044 (0.049) Loss 2.4747 (2.3213) Prec@1 46.484 (47.009) Prec@5 69.922 (72.474)
Epoch: [89][510/5005] Time 0.210 (0.213) Data 0.040 (0.049) Loss 2.5782 (2.3216) Prec@1 42.578 (47.024) Prec@5 66.016 (72.460)
Epoch: [89][520/5005] Time 0.214 (0.213) Data 0.042 (0.049) Loss 2.4637 (2.3216) Prec@1 43.359 (47.014) Prec@5 69.531 (72.460)
Epoch: [89][530/5005] Time 0.203 (0.213) Data 0.065 (0.049) Loss 2.2723 (2.3216) Prec@1 48.047 (47.009) Prec@5 71.094 (72.449)
Epoch: [89][540/5005] Time 0.206 (0.213) Data 0.042 (0.049) Loss 2.4094 (2.3215) Prec@1 45.703 (47.006) Prec@5 72.266 (72.466)
Epoch: [89][550/5005] Time 0.217 (0.213) Data 0.044 (0.049) Loss 2.3844 (2.3213) Prec@1 44.922 (47.013) Prec@5 73.828 (72.456)
Epoch: [89][560/5005] Time 0.217 (0.213) Data 0.043 (0.049) Loss 2.4026 (2.3211) Prec@1 41.406 (47.006) Prec@5 73.047 (72.464)
Epoch: [89][570/5005] Time 0.212 (0.213) Data 0.053 (0.049) Loss 2.3243 (2.3221) Prec@1 51.172 (46.998) Prec@5 75.391 (72.444)
Epoch: [89][580/5005] Time 0.214 (0.213) Data 0.042 (0.048) Loss 2.3490 (2.3214) Prec@1 46.094 (47.005) Prec@5 71.094 (72.453)
Epoch: [89][590/5005] Time 0.221 (0.213) Data 0.042 (0.048) Loss 2.5249 (2.3219) Prec@1 40.234 (46.989) Prec@5 66.016 (72.426)
Epoch: [89][600/5005] Time 0.217 (0.213) Data 0.048 (0.048) Loss 2.3235 (2.3228) Prec@1 49.219 (46.983) Prec@5 71.484 (72.419)
Epoch: [89][610/5005] Time 0.209 (0.213) Data 0.052 (0.048) Loss 2.2867 (2.3232) Prec@1 47.266 (46.968) Prec@5 73.047 (72.415)
Epoch: [89][620/5005] Time 0.211 (0.213) Data 0.048 (0.048) Loss 2.4229 (2.3235) Prec@1 47.656 (47.000) Prec@5 72.266 (72.414)
Epoch: [89][630/5005] Time 0.220 (0.213) Data 0.042 (0.048) Loss 2.4955 (2.3235) Prec@1 42.969 (47.015) Prec@5 69.922 (72.427)
Epoch: [89][640/5005] Time 0.220 (0.213) Data 0.046 (0.048) Loss 2.1978 (2.3231) Prec@1 48.047 (47.028) Prec@5 73.047 (72.428)
Epoch: [89][650/5005] Time 0.208 (0.213) Data 0.046 (0.048) Loss 2.3620 (2.3232) Prec@1 45.312 (47.038) Prec@5 70.312 (72.419)
Epoch: [89][660/5005] Time 0.206 (0.213) Data 0.063 (0.049) Loss 2.4748 (2.3223) Prec@1 46.094 (47.058) Prec@5 70.703 (72.446)
Epoch: [89][670/5005] Time 0.217 (0.213) Data 0.044 (0.048) Loss 2.5643 (2.3224) Prec@1 41.406 (47.051) Prec@5 69.922 (72.441)
Epoch: [89][680/5005] Time 0.217 (0.213) Data 0.045 (0.048) Loss 2.2959 (2.3227) Prec@1 49.219 (47.036) Prec@5 71.875 (72.439)
Epoch: [89][690/5005] Time 0.209 (0.213) Data 0.042 (0.048) Loss 2.3084 (2.3223) Prec@1 50.000 (47.048) Prec@5 73.828 (72.432)
Epoch: [89][700/5005] Time 0.214 (0.213) Data 0.042 (0.048) Loss 2.4396 (2.3226) Prec@1 40.625 (47.042) Prec@5 69.531 (72.419)
Epoch: [89][710/5005] Time 0.203 (0.213) Data 0.047 (0.048) Loss 2.1411 (2.3221) Prec@1 48.828 (47.056) Prec@5 78.125 (72.433)
Epoch: [89][720/5005] Time 0.206 (0.213) Data 0.052 (0.048) Loss 2.1495 (2.3216) Prec@1 49.219 (47.067) Prec@5 75.781 (72.435)
Epoch: [89][730/5005] Time 0.217 (0.213) Data 0.044 (0.048) Loss 2.4182 (2.3216) Prec@1 46.875 (47.084) Prec@5 69.922 (72.426)
Epoch: [89][740/5005] Time 0.211 (0.213) Data 0.043 (0.048) Loss 2.3551 (2.3219) Prec@1 46.875 (47.072) Prec@5 69.922 (72.404)
Epoch: [89][750/5005] Time 0.210 (0.213) Data 0.046 (0.048) Loss 2.1564 (2.3215) Prec@1 51.562 (47.082) Prec@5 75.391 (72.399)
Epoch: [89][760/5005] Time 0.205 (0.213) Data 0.045 (0.048) Loss 2.2706 (2.3212) Prec@1 47.656 (47.082) Prec@5 71.875 (72.409)
Epoch: [89][770/5005] Time 0.201 (0.213) Data 0.059 (0.048) Loss 2.3541 (2.3198) Prec@1 46.094 (47.111) Prec@5 70.312 (72.426)
Epoch: [89][780/5005] Time 0.214 (0.213) Data 0.043 (0.048) Loss 2.3064 (2.3198) Prec@1 46.875 (47.105) Prec@5 71.094 (72.416)
Epoch: [89][790/5005] Time 0.216 (0.213) Data 0.044 (0.048) Loss 2.2651 (2.3196) Prec@1 48.047 (47.098) Prec@5 73.047 (72.415)
Epoch: [89][800/5005] Time 0.216 (0.213) Data 0.042 (0.048) Loss 2.2141 (2.3193) Prec@1 48.438 (47.104) Prec@5 73.047 (72.411)
Epoch: [89][810/5005] Time 0.215 (0.213) Data 0.044 (0.048) Loss 2.3993 (2.3193) Prec@1 45.703 (47.106) Prec@5 71.094 (72.409)
Epoch: [89][820/5005] Time 0.215 (0.212) Data 0.043 (0.048) Loss 2.3702 (2.3192) Prec@1 47.266 (47.118) Prec@5 70.703 (72.415)
Epoch: [89][830/5005] Time 0.212 (0.212) Data 0.041 (0.048) Loss 2.3377 (2.3194) Prec@1 48.047 (47.106) Prec@5 74.219 (72.414)
Epoch: [89][840/5005] Time 0.214 (0.212) Data 0.041 (0.048) Loss 2.3341 (2.3197) Prec@1 47.266 (47.109) Prec@5 70.312 (72.414)
Epoch: [89][850/5005] Time 0.216 (0.212) Data 0.041 (0.048) Loss 2.5256 (2.3196) Prec@1 44.922 (47.098) Prec@5 68.750 (72.416)
Epoch: [89][860/5005] Time 0.213 (0.212) Data 0.043 (0.048) Loss 2.2751 (2.3200) Prec@1 48.438 (47.093) Prec@5 69.922 (72.404)
Epoch: [89][870/5005] Time 0.213 (0.212) Data 0.043 (0.048) Loss 2.3024 (2.3192) Prec@1 44.531 (47.106) Prec@5 73.047 (72.420)
Epoch: [89][880/5005] Time 0.212 (0.212) Data 0.043 (0.048) Loss 2.3828 (2.3200) Prec@1 44.531 (47.090) Prec@5 69.922 (72.407)
Epoch: [89][890/5005] Time 0.213 (0.212) Data 0.041 (0.048) Loss 2.4275 (2.3195) Prec@1 45.703 (47.098) Prec@5 69.531 (72.405)
Epoch: [89][900/5005] Time 0.215 (0.212) Data 0.043 (0.047) Loss 2.2041 (2.3189) Prec@1 48.828 (47.103) Prec@5 78.125 (72.427)
Epoch: [89][910/5005] Time 0.213 (0.212) Data 0.045 (0.047) Loss 2.2024 (2.3192) Prec@1 48.438 (47.092) Prec@5 76.562 (72.420)
Epoch: [89][920/5005] Time 0.205 (0.212) Data 0.048 (0.047) Loss 2.4020 (2.3183) Prec@1 44.922 (47.108) Prec@5 73.828 (72.437)
Epoch: [89][930/5005] Time 0.210 (0.212) Data 0.043 (0.047) Loss 2.1660 (2.3178) Prec@1 50.000 (47.125) Prec@5 75.781 (72.449)
Epoch: [89][940/5005] Time 0.210 (0.212) Data 0.043 (0.047) Loss 2.1501 (2.3185) Prec@1 48.047 (47.120) Prec@5 72.266 (72.440)
Epoch: [89][950/5005] Time 0.217 (0.212) Data 0.043 (0.047) Loss 2.4027 (2.3189) Prec@1 48.828 (47.116) Prec@5 71.094 (72.431)
Epoch: [89][960/5005] Time 0.214 (0.212) Data 0.047 (0.047) Loss 2.4571 (2.3190) Prec@1 44.531 (47.115) Prec@5 69.531 (72.434)
Epoch: [89][970/5005] Time 0.200 (0.212) Data 0.046 (0.047) Loss 2.1699 (2.3190) Prec@1 49.219 (47.120) Prec@5 74.219 (72.433)
Epoch: [89][980/5005] Time 0.211 (0.212) Data 0.054 (0.047) Loss 2.3141 (2.3183) Prec@1 45.703 (47.123) Prec@5 68.750 (72.452)
Epoch: [89][990/5005] Time 0.212 (0.212) Data 0.049 (0.047) Loss 2.2969 (2.3186) Prec@1 48.047 (47.108) Prec@5 75.391 (72.445)
Epoch: [89][1000/5005] Time 0.212 (0.212) Data 0.042 (0.047) Loss 2.3653 (2.3182) Prec@1 47.266 (47.125) Prec@5 71.875 (72.446)
Epoch: [89][1010/5005] Time 0.209 (0.212) Data 0.043 (0.047) Loss 2.3648 (2.3178) Prec@1 46.875 (47.136) Prec@5 71.094 (72.453)
Epoch: [89][1020/5005] Time 0.210 (0.212) Data 0.056 (0.047) Loss 2.1654 (2.3181) Prec@1 50.000 (47.141) Prec@5 74.219 (72.449)
Epoch: [89][1030/5005] Time 0.205 (0.212) Data 0.044 (0.047) Loss 2.2551 (2.3178) Prec@1 47.266 (47.146) Prec@5 74.609 (72.447)
Epoch: [89][1040/5005] Time 0.203 (0.212) Data 0.044 (0.047) Loss 2.4286 (2.3179) Prec@1 46.875 (47.149) Prec@5 72.656 (72.445)
Epoch: [89][1050/5005] Time 0.207 (0.212) Data 0.049 (0.048) Loss 2.3943 (2.3177) Prec@1 48.828 (47.153) Prec@5 71.484 (72.452)
Epoch: [89][1060/5005] Time 0.217 (0.212) Data 0.041 (0.048) Loss 2.4415 (2.3178) Prec@1 46.094 (47.159) Prec@5 71.094 (72.455)
Epoch: [89][1070/5005] Time 0.215 (0.212) Data 0.046 (0.048) Loss 2.3529 (2.3182) Prec@1 45.703 (47.153) Prec@5 71.094 (72.450)
Epoch: [89][1080/5005] Time 0.216 (0.212) Data 0.044 (0.047) Loss 2.3897 (2.3187) Prec@1 44.141 (47.152) Prec@5 71.484 (72.451)
Epoch: [89][1090/5005] Time 0.210 (0.212) Data 0.047 (0.047) Loss 2.2572 (2.3185) Prec@1 46.875 (47.161) Prec@5 71.484 (72.453)
Epoch: [89][1100/5005] Time 0.199 (0.212) Data 0.046 (0.047) Loss 2.2152 (2.3179) Prec@1 50.781 (47.171) Prec@5 74.609 (72.463)
Epoch: [89][1110/5005] Time 0.203 (0.212) Data 0.047 (0.047) Loss 2.2550 (2.3180) Prec@1 50.391 (47.168) Prec@5 74.609 (72.461)
Epoch: [89][1120/5005] Time 0.211 (0.212) Data 0.043 (0.047) Loss 2.1996 (2.3172) Prec@1 50.781 (47.195) Prec@5 72.656 (72.474)
Epoch: [89][1130/5005] Time 0.207 (0.212) Data 0.046 (0.047) Loss 2.4534 (2.3174) Prec@1 42.188 (47.189) Prec@5 72.656 (72.474)
Epoch: [89][1140/5005] Time 0.215 (0.212) Data 0.042 (0.047) Loss 2.4097 (2.3173) Prec@1 43.359 (47.177) Prec@5 69.922 (72.472)
Epoch: [89][1150/5005] Time 0.210 (0.212) Data 0.042 (0.047) Loss 2.2896 (2.3167) Prec@1 45.703 (47.190) Prec@5 71.484 (72.476)
Epoch: [89][1160/5005] Time 0.202 (0.212) Data 0.044 (0.047) Loss 2.3391 (2.3163) Prec@1 48.828 (47.203) Prec@5 73.047 (72.476)
Epoch: [89][1170/5005] Time 0.202 (0.212) Data 0.047 (0.047) Loss 2.2474 (2.3162) Prec@1 46.094 (47.198) Prec@5 73.828 (72.479)
Epoch: [89][1180/5005] Time 0.203 (0.212) Data 0.051 (0.047) Loss 2.2979 (2.3160) Prec@1 48.828 (47.193) Prec@5 71.875 (72.482)
Epoch: [89][1190/5005] Time 0.200 (0.212) Data 0.063 (0.047) Loss 2.0454 (2.3157) Prec@1 48.438 (47.196) Prec@5 77.734 (72.493)
Epoch: [89][1200/5005] Time 0.207 (0.212) Data 0.044 (0.047) Loss 2.3311 (2.3157) Prec@1 50.391 (47.194) Prec@5 71.094 (72.489)
Epoch: [89][1210/5005] Time 0.216 (0.212) Data 0.043 (0.047) Loss 2.3262 (2.3161) Prec@1 44.531 (47.187) Prec@5 71.094 (72.483)
Epoch: [89][1220/5005] Time 0.211 (0.212) Data 0.044 (0.047) Loss 2.1761 (2.3160) Prec@1 46.875 (47.189) Prec@5 73.438 (72.498)
Epoch: [89][1230/5005] Time 0.207 (0.212) Data 0.046 (0.047) Loss 2.5367 (2.3161) Prec@1 41.406 (47.168) Prec@5 70.312 (72.499)
Epoch: [89][1240/5005] Time 0.203 (0.212) Data 0.058 (0.047) Loss 2.4030 (2.3160) Prec@1 47.656 (47.170) Prec@5 72.266 (72.497)
Epoch: [89][1250/5005] Time 0.200 (0.212) Data 0.055 (0.047) Loss 2.5613 (2.3162) Prec@1 42.969 (47.170) Prec@5 68.750 (72.492)
Epoch: [89][1260/5005] Time 0.210 (0.212) Data 0.039 (0.047) Loss 2.1983 (2.3157) Prec@1 47.266 (47.172) Prec@5 73.047 (72.501)
Epoch: [89][1270/5005] Time 0.211 (0.212) Data 0.056 (0.048) Loss 2.4191 (2.3161) Prec@1 46.875 (47.171) Prec@5 68.750 (72.494)
Epoch: [89][1280/5005] Time 0.205 (0.212) Data 0.059 (0.048) Loss 2.2635 (2.3163) Prec@1 50.000 (47.168) Prec@5 74.219 (72.490)
Epoch: [89][1290/5005] Time 0.213 (0.212) Data 0.043 (0.048) Loss 2.0658 (2.3161) Prec@1 55.078 (47.178) Prec@5 75.781 (72.489)
Epoch: [89][1300/5005] Time 0.211 (0.212) Data 0.060 (0.048) Loss 2.2927 (2.3162) Prec@1 51.562 (47.179) Prec@5 73.828 (72.487)
Epoch: [89][1310/5005] Time 0.218 (0.212) Data 0.042 (0.048) Loss 2.2523 (2.3157) Prec@1 48.828 (47.187) Prec@5 74.609 (72.503)
Epoch: [89][1320/5005] Time 0.214 (0.212) Data 0.058 (0.048) Loss 2.3907 (2.3157) Prec@1 46.484 (47.191) Prec@5 73.047 (72.503)
Epoch: [89][1330/5005] Time 0.208 (0.212) Data 0.058 (0.048) Loss 2.5822 (2.3160) Prec@1 41.406 (47.186) Prec@5 68.750 (72.495)
Epoch: [89][1340/5005] Time 0.208 (0.211) Data 0.043 (0.048) Loss 2.2446 (2.3159) Prec@1 48.828 (47.195) Prec@5 72.656 (72.494)
Epoch: [89][1350/5005] Time 0.218 (0.211) Data 0.045 (0.048) Loss 2.6722 (2.3157) Prec@1 44.141 (47.193) Prec@5 69.922 (72.499)
Epoch: [89][1360/5005] Time 0.216 (0.211) Data 0.044 (0.048) Loss 2.2135 (2.3154) Prec@1 49.219 (47.204) Prec@5 73.828 (72.501)
Epoch: [89][1370/5005] Time 0.207 (0.212) Data 0.040 (0.048) Loss 2.3497 (2.3150) Prec@1 42.969 (47.196) Prec@5 73.438 (72.515)
Epoch: [89][1380/5005] Time 0.212 (0.211) Data 0.044 (0.048) Loss 2.3141 (2.3148) Prec@1 47.266 (47.201) Prec@5 73.828 (72.526)
Epoch: [89][1390/5005] Time 0.214 (0.211) Data 0.044 (0.048) Loss 2.1516 (2.3148) Prec@1 51.172 (47.204) Prec@5 77.344 (72.519)
Epoch: [89][1400/5005] Time 0.204 (0.211) Data 0.042 (0.048) Loss 2.3117 (2.3140) Prec@1 48.438 (47.212) Prec@5 73.047 (72.539)
Epoch: [89][1410/5005] Time 0.202 (0.211) Data 0.041 (0.048) Loss 2.2233 (2.3139) Prec@1 50.781 (47.218) Prec@5 74.609 (72.541)
Epoch: [89][1420/5005] Time 0.216 (0.211) Data 0.043 (0.047) Loss 2.4683 (2.3140) Prec@1 46.875 (47.222) Prec@5 69.141 (72.541)
Epoch: [89][1430/5005] Time 0.215 (0.211) Data 0.042 (0.047) Loss 1.9952 (2.3136) Prec@1 55.859 (47.235) Prec@5 77.734 (72.546)
Epoch: [89][1440/5005] Time 0.210 (0.211) Data 0.064 (0.048) Loss 2.1427 (2.3134) Prec@1 50.000 (47.235) Prec@5 76.562 (72.543)
Epoch: [89][1450/5005] Time 0.218 (0.211) Data 0.046 (0.048) Loss 2.2759 (2.3131) Prec@1 49.219 (47.249) Prec@5 72.266 (72.538)
Epoch: [89][1460/5005] Time 0.214 (0.211) Data 0.046 (0.048) Loss 2.3588 (2.3131) Prec@1 46.484 (47.250) Prec@5 70.703 (72.540)
Epoch: [89][1470/5005] Time 0.208 (0.211) Data 0.050 (0.048) Loss 2.3877 (2.3130) Prec@1 44.141 (47.255) Prec@5 71.484 (72.540)
Epoch: [89][1480/5005] Time 0.211 (0.211) Data 0.066 (0.048) Loss 1.9671 (2.3129) Prec@1 51.953 (47.265) Prec@5 79.297 (72.544)
Epoch: [89][1490/5005] Time 0.208 (0.211) Data 0.046 (0.048) Loss 2.4516 (2.3123) Prec@1 45.312 (47.273) Prec@5 73.828 (72.559)
Epoch: [89][1500/5005] Time 0.207 (0.211) Data 0.058 (0.048) Loss 2.3635 (2.3122) Prec@1 46.484 (47.277) Prec@5 71.875 (72.568)
Epoch: [89][1510/5005] Time 0.214 (0.211) Data 0.043 (0.048) Loss 2.2581 (2.3119) Prec@1 48.047 (47.288) Prec@5 72.266 (72.573)
Epoch: [89][1520/5005] Time 0.205 (0.211) Data 0.043 (0.048) Loss 2.3465 (2.3118) Prec@1 48.438 (47.283) Prec@5 71.875 (72.576)
Epoch: [89][1530/5005] Time 0.224 (0.211) Data 0.048 (0.048) Loss 2.4151 (2.3117) Prec@1 43.750 (47.286) Prec@5 69.531 (72.572)
Epoch: [89][1540/5005] Time 0.209 (0.211) Data 0.052 (0.048) Loss 2.3393 (2.3122) Prec@1 45.703 (47.274) Prec@5 70.703 (72.564)
Epoch: [89][1550/5005] Time 0.209 (0.211) Data 0.045 (0.048) Loss 2.2303 (2.3117) Prec@1 49.219 (47.283) Prec@5 77.734 (72.577)
Epoch: [89][1560/5005] Time 0.212 (0.211) Data 0.046 (0.048) Loss 2.1464 (2.3120) Prec@1 50.391 (47.275) Prec@5 75.391 (72.576)
Epoch: [89][1570/5005] Time 0.206 (0.211) Data 0.046 (0.048) Loss 2.1364 (2.3115) Prec@1 51.562 (47.285) Prec@5 74.219 (72.587)
Epoch: [89][1580/5005] Time 0.207 (0.211) Data 0.053 (0.048) Loss 2.1184 (2.3116) Prec@1 49.219 (47.279) Prec@5 75.391 (72.590)
Epoch: [89][1590/5005] Time 0.206 (0.211) Data 0.049 (0.048) Loss 2.3114 (2.3117) Prec@1 48.828 (47.283) Prec@5 68.359 (72.582)
Epoch: [89][1600/5005] Time 0.207 (0.211) Data 0.046 (0.048) Loss 2.2649 (2.3114) Prec@1 45.312 (47.286) Prec@5 73.047 (72.583)
Epoch: [89][1610/5005] Time 0.215 (0.211) Data 0.042 (0.048) Loss 2.2625 (2.3113) Prec@1 49.219 (47.291) Prec@5 76.562 (72.585)
Epoch: [89][1620/5005] Time 0.214 (0.211) Data 0.043 (0.048) Loss 2.4610 (2.3112) Prec@1 42.969 (47.280) Prec@5 69.531 (72.581)
Epoch: [89][1630/5005] Time 0.212 (0.211) Data 0.051 (0.048) Loss 2.1739 (2.3112) Prec@1 49.219 (47.282) Prec@5 73.438 (72.582)
Epoch: [89][1640/5005] Time 0.205 (0.211) Data 0.041 (0.048) Loss 2.4068 (2.3115) Prec@1 47.656 (47.280) Prec@5 72.656 (72.578)
Epoch: [89][1650/5005] Time 0.206 (0.211) Data 0.047 (0.048) Loss 2.4120 (2.3114) Prec@1 44.531 (47.286) Prec@5 70.703 (72.578)
Epoch: [89][1660/5005] Time 0.205 (0.211) Data 0.048 (0.048) Loss 2.2078 (2.3106) Prec@1 49.219 (47.298) Prec@5 73.438 (72.590)
Epoch: [89][1670/5005] Time 0.209 (0.211) Data 0.051 (0.048) Loss 2.0601 (2.3107) Prec@1 54.297 (47.302) Prec@5 77.734 (72.592)
Epoch: [89][1680/5005] Time 0.207 (0.211) Data 0.046 (0.048) Loss 2.3865 (2.3108) Prec@1 48.828 (47.304) Prec@5 71.484 (72.590)
Epoch: [89][1690/5005] Time 0.207 (0.211) Data 0.046 (0.048) Loss 2.1547 (2.3105) Prec@1 50.391 (47.303) Prec@5 74.219 (72.601)
Epoch: [89][1700/5005] Time 0.210 (0.211) Data 0.058 (0.048) Loss 2.3101 (2.3102) Prec@1 44.922 (47.304) Prec@5 71.094 (72.605)
Epoch: [89][1710/5005] Time 0.206 (0.211) Data 0.058 (0.048) Loss 2.2381 (2.3100) Prec@1 49.219 (47.302) Prec@5 75.000 (72.609)
Epoch: [89][1720/5005] Time 0.211 (0.211) Data 0.042 (0.048) Loss 2.2989 (2.3099) Prec@1 46.875 (47.301) Prec@5 72.656 (72.611)
Epoch: [89][1730/5005] Time 0.207 (0.211) Data 0.060 (0.048) Loss 2.3023 (2.3097) Prec@1 43.750 (47.307) Prec@5 71.875 (72.613)
Epoch: [89][1740/5005] Time 0.207 (0.211) Data 0.050 (0.048) Loss 2.4105 (2.3095) Prec@1 42.188 (47.307) Prec@5 69.141 (72.614)
Epoch: [89][1750/5005] Time 0.210 (0.211) Data 0.057 (0.048) Loss 2.3240 (2.3093) Prec@1 45.703 (47.309) Prec@5 71.484 (72.613)
Epoch: [89][1760/5005] Time 0.211 (0.211) Data 0.046 (0.048) Loss 2.0541 (2.3091) Prec@1 48.828 (47.312) Prec@5 77.344 (72.619)
Epoch: [89][1770/5005] Time 0.194 (0.211) Data 0.046 (0.048) Loss 2.3398 (2.3089) Prec@1 44.531 (47.313) Prec@5 72.656 (72.625)
Epoch: [89][1780/5005] Time 0.211 (0.211) Data 0.043 (0.048) Loss 2.2757 (2.3088) Prec@1 48.828 (47.313) Prec@5 73.438 (72.626)
Epoch: [89][1790/5005] Time 0.221 (0.211) Data 0.042 (0.048) Loss 2.1840 (2.3086) Prec@1 51.953 (47.317) Prec@5 71.875 (72.627)
Epoch: [89][1800/5005] Time 0.209 (0.211) Data 0.046 (0.048) Loss 2.2388 (2.3083) Prec@1 48.438 (47.329) Prec@5 73.047 (72.633)
Epoch: [89][1810/5005] Time 0.212 (0.211) Data 0.046 (0.048) Loss 2.2423 (2.3082) Prec@1 48.438 (47.327) Prec@5 73.047 (72.636)
Epoch: [89][1820/5005] Time 0.205 (0.211) Data 0.046 (0.048) Loss 2.3641 (2.3081) Prec@1 44.531 (47.330) Prec@5 70.312 (72.637)
Epoch: [89][1830/5005] Time 0.208 (0.211) Data 0.052 (0.048) Loss 2.0220 (2.3076) Prec@1 50.781 (47.338) Prec@5 79.688 (72.648)
Epoch: [89][1840/5005] Time 0.211 (0.211) Data 0.044 (0.048) Loss 2.3477 (2.3074) Prec@1 47.656 (47.342) Prec@5 73.047 (72.650)
Epoch: [89][1850/5005] Time 0.204 (0.211) Data 0.048 (0.048) Loss 2.2248 (2.3072) Prec@1 49.219 (47.346) Prec@5 74.609 (72.648)
Epoch: [89][1860/5005] Time 0.214 (0.211) Data 0.047 (0.048) Loss 2.2907 (2.3072) Prec@1 51.172 (47.348) Prec@5 72.266 (72.651)
Epoch: [89][1870/5005] Time 0.213 (0.211) Data 0.043 (0.048) Loss 2.4784 (2.3074) Prec@1 40.234 (47.342) Prec@5 68.359 (72.650)
Epoch: [89][1880/5005] Time 0.201 (0.211) Data 0.062 (0.048) Loss 2.2717 (2.3076) Prec@1 45.703 (47.335) Prec@5 75.000 (72.652)
Epoch: [89][1890/5005] Time 0.214 (0.211) Data 0.044 (0.048) Loss 2.1564 (2.3074) Prec@1 51.953 (47.338) Prec@5 74.219 (72.658)
Epoch: [89][1900/5005] Time 0.208 (0.211) Data 0.050 (0.048) Loss 2.3648 (2.3081) Prec@1 44.531 (47.327) Prec@5 74.609 (72.652)
Epoch: [89][1910/5005] Time 0.218 (0.211) Data 0.043 (0.048) Loss 2.3339 (2.3080) Prec@1 46.875 (47.323) Prec@5 71.094 (72.649)
Epoch: [89][1920/5005] Time 0.216 (0.211) Data 0.047 (0.048) Loss 2.2786 (2.3079) Prec@1 45.703 (47.324) Prec@5 75.391 (72.648)
Epoch: [89][1930/5005] Time 0.210 (0.211) Data 0.045 (0.048) Loss 2.2862 (2.3078) Prec@1 49.219 (47.324) Prec@5 73.828 (72.652)
Epoch: [89][1940/5005] Time 0.204 (0.211) Data 0.041 (0.048) Loss 2.1187 (2.3072) Prec@1 51.953 (47.333) Prec@5 73.438 (72.663)
Epoch: [89][1950/5005] Time 0.211 (0.211) Data 0.044 (0.048) Loss 2.3382 (2.3070) Prec@1 45.312 (47.336) Prec@5 70.703 (72.668)
Epoch: [89][1960/5005] Time 0.208 (0.211) Data 0.060 (0.048) Loss 2.0829 (2.3066) Prec@1 50.000 (47.342) Prec@5 76.953 (72.677)
Epoch: [89][1970/5005] Time 0.205 (0.211) Data 0.048 (0.048) Loss 2.3720 (2.3068) Prec@1 48.047 (47.341) Prec@5 70.703 (72.671)
Epoch: [89][1980/5005] Time 0.206 (0.211) Data 0.047 (0.048) Loss 2.1278 (2.3068) Prec@1 48.047 (47.341) Prec@5 77.344 (72.674)
Epoch: [89][1990/5005] Time 0.210 (0.211) Data 0.052 (0.048) Loss 2.1187 (2.3066) Prec@1 51.953 (47.346) Prec@5 75.000 (72.672)
Epoch: [89][2000/5005] Time 0.200 (0.211) Data 0.050 (0.048) Loss 2.1496 (2.3067) Prec@1 51.172 (47.348) Prec@5 77.344 (72.673)
Epoch: [89][2010/5005] Time 0.211 (0.211) Data 0.045 (0.048) Loss 2.2070 (2.3067) Prec@1 48.438 (47.342) Prec@5 74.219 (72.673)
Epoch: [89][2020/5005] Time 0.200 (0.211) Data 0.052 (0.048) Loss 2.2751 (2.3068) Prec@1 48.438 (47.339) Prec@5 74.219 (72.670)
Epoch: [89][2030/5005] Time 0.198 (0.211) Data 0.043 (0.048) Loss 2.3078 (2.3070) Prec@1 45.312 (47.336) Prec@5 75.781 (72.668)
Epoch: [89][2040/5005] Time 0.202 (0.211) Data 0.046 (0.048) Loss 2.0443 (2.3066) Prec@1 48.828 (47.341) Prec@5 78.125 (72.681)
Epoch: [89][2050/5005] Time 0.207 (0.211) Data 0.050 (0.048) Loss 2.3686 (2.3065) Prec@1 43.750 (47.344) Prec@5 69.141 (72.686)
Epoch: [89][2060/5005] Time 0.196 (0.211) Data 0.044 (0.048) Loss 2.2155 (2.3066) Prec@1 47.266 (47.342) Prec@5 75.391 (72.686)
Epoch: [89][2070/5005] Time 0.202 (0.211) Data 0.053 (0.048) Loss 2.4769 (2.3068) Prec@1 45.703 (47.338) Prec@5 70.703 (72.682)
Epoch: [89][2080/5005] Time 0.213 (0.211) Data 0.054 (0.048) Loss 2.4009 (2.3068) Prec@1 43.750 (47.337) Prec@5 75.000 (72.682)
Epoch: [89][2090/5005] Time 0.202 (0.211) Data 0.045 (0.048) Loss 2.1423 (2.3064) Prec@1 51.562 (47.345) Prec@5 75.000 (72.686)
Epoch: [89][2100/5005] Time 0.216 (0.211) Data 0.044 (0.048) Loss 2.3503 (2.3064) Prec@1 44.922 (47.343) Prec@5 73.438 (72.688)
Epoch: [89][2110/5005] Time 0.212 (0.211) Data 0.065 (0.048) Loss 2.0900 (2.3062) Prec@1 48.438 (47.349) Prec@5 76.953 (72.692)
Epoch: [89][2120/5005] Time 0.207 (0.211) Data 0.064 (0.048) Loss 2.3189 (2.3060) Prec@1 48.047 (47.358) Prec@5 70.312 (72.696)
Epoch: [89][2130/5005] Time 0.204 (0.211) Data 0.046 (0.048) Loss 2.2317 (2.3058) Prec@1 48.828 (47.359) Prec@5 72.656 (72.700)
Epoch: [89][2140/5005] Time 0.220 (0.211) Data 0.047 (0.048) Loss 2.1819 (2.3058) Prec@1 47.266 (47.359) Prec@5 74.609 (72.702)
Epoch: [89][2150/5005] Time 0.200 (0.211) Data 0.051 (0.048) Loss 2.1649 (2.3059) Prec@1 50.781 (47.358) Prec@5 73.828 (72.701)
Epoch: [89][2160/5005] Time 0.202 (0.211) Data 0.048 (0.048) Loss 2.2906 (2.3059) Prec@1 48.828 (47.357) Prec@5 72.266 (72.703)
Epoch: [89][2170/5005] Time 0.210 (0.211) Data 0.045 (0.048) Loss 2.1863 (2.3056) Prec@1 50.000 (47.366) Prec@5 72.656 (72.705)
Epoch: [89][2180/5005] Time 0.212 (0.211) Data 0.043 (0.048) Loss 2.3348 (2.3055) Prec@1 50.391 (47.369) Prec@5 71.484 (72.709)
Epoch: [89][2190/5005] Time 0.211 (0.211) Data 0.046 (0.048) Loss 2.4891 (2.3056) Prec@1 44.141 (47.368) Prec@5 66.406 (72.706)
Epoch: [89][2200/5005] Time 0.206 (0.211) Data 0.048 (0.048) Loss 2.2861 (2.3058) Prec@1 48.047 (47.360) Prec@5 73.828 (72.706)
Epoch: [89][2210/5005] Time 0.198 (0.211) Data 0.044 (0.048) Loss 2.3069 (2.3060) Prec@1 46.484 (47.359) Prec@5 71.094 (72.704)
Epoch: [89][2220/5005] Time 0.211 (0.211) Data 0.044 (0.048) Loss 2.3988 (2.3059) Prec@1 49.609 (47.362) Prec@5 68.359 (72.704)
Epoch: [89][2230/5005] Time 0.213 (0.211) Data 0.043 (0.048) Loss 2.2530 (2.3058) Prec@1 51.562 (47.364) Prec@5 71.094 (72.703)
Epoch: [89][2240/5005] Time 0.209 (0.211) Data 0.045 (0.048) Loss 2.2523 (2.3059) Prec@1 49.219 (47.363) Prec@5 74.219 (72.702)
Epoch: [89][2250/5005] Time 0.210 (0.211) Data 0.060 (0.048) Loss 2.2300 (2.3060) Prec@1 46.094 (47.355) Prec@5 74.219 (72.702)
Epoch: [89][2260/5005] Time 0.205 (0.211) Data 0.044 (0.048) Loss 2.2132 (2.3056) Prec@1 46.484 (47.363) Prec@5 73.438 (72.707)
Epoch: [89][2270/5005] Time 0.210 (0.211) Data 0.064 (0.048) Loss 2.4304 (2.3055) Prec@1 45.703 (47.370) Prec@5 70.703 (72.707)
Epoch: [89][2280/5005] Time 0.209 (0.211) Data 0.042 (0.048) Loss 2.3591 (2.3056) Prec@1 46.484 (47.369) Prec@5 72.266 (72.707)
Epoch: [89][2290/5005] Time 0.203 (0.210) Data 0.050 (0.048) Loss 2.0692 (2.3054) Prec@1 51.172 (47.370) Prec@5 79.297 (72.711)
Epoch: [89][2300/5005] Time 0.202 (0.210) Data 0.064 (0.048) Loss 2.3352 (2.3053) Prec@1 48.047 (47.374) Prec@5 72.266 (72.711)
Epoch: [89][2310/5005] Time 0.215 (0.210) Data 0.044 (0.048) Loss 2.2701 (2.3053) Prec@1 51.172 (47.380) Prec@5 73.047 (72.713)
Epoch: [89][2320/5005] Time 0.199 (0.210) Data 0.056 (0.048) Loss 2.3989 (2.3053) Prec@1 46.875 (47.382) Prec@5 70.703 (72.714)
Epoch: [89][2330/5005] Time 0.218 (0.210) Data 0.047 (0.048) Loss 2.2655 (2.3051) Prec@1 48.828 (47.386) Prec@5 73.438 (72.716)
Epoch: [89][2340/5005] Time 0.202 (0.210) Data 0.045 (0.048) Loss 2.3111 (2.3049) Prec@1 48.438 (47.387) Prec@5 73.438 (72.718)
Epoch: [89][2350/5005] Time 0.221 (0.210) Data 0.045 (0.048) Loss 2.2756 (2.3049) Prec@1 48.047 (47.385) Prec@5 73.828 (72.716)
Epoch: [89][2360/5005] Time 0.204 (0.210) Data 0.041 (0.048) Loss 2.2177 (2.3049) Prec@1 50.000 (47.387) Prec@5 74.219 (72.715)
Epoch: [89][2370/5005] Time 0.200 (0.210) Data 0.045 (0.048) Loss 2.2833 (2.3049) Prec@1 46.094 (47.385) Prec@5 72.266 (72.716)
Epoch: [89][2380/5005] Time 0.207 (0.210) Data 0.042 (0.048) Loss 2.2984 (2.3048) Prec@1 51.172 (47.386) Prec@5 71.875 (72.720)
Epoch: [89][2390/5005] Time 0.200 (0.210) Data 0.045 (0.048) Loss 2.2789 (2.3049) Prec@1 53.125 (47.386) Prec@5 71.875 (72.717)
Epoch: [89][2400/5005] Time 0.212 (0.210) Data 0.042 (0.048) Loss 2.1834 (2.3049) Prec@1 48.047 (47.382) Prec@5 75.391 (72.719)
Epoch: [89][2410/5005] Time 0.202 (0.210) Data 0.044 (0.048) Loss 2.5624 (2.3049) Prec@1 42.578 (47.376) Prec@5 69.531 (72.720)
Epoch: [89][2420/5005] Time 0.192 (0.210) Data 0.047 (0.048) Loss 2.3432 (2.3046) Prec@1 50.391 (47.386) Prec@5 71.094 (72.725)
Epoch: [89][2430/5005] Time 0.208 (0.210) Data 0.052 (0.048) Loss 2.2509 (2.3047) Prec@1 48.828 (47.385) Prec@5 71.875 (72.717)
Epoch: [89][2440/5005] Time 0.204 (0.210) Data 0.061 (0.048) Loss 2.1021 (2.3045) Prec@1 53.516 (47.389) Prec@5 75.391 (72.721)
Epoch: [89][2450/5005] Time 0.196 (0.210) Data 0.049 (0.048) Loss 2.1881 (2.3044) Prec@1 48.047 (47.391) Prec@5 75.000 (72.724)
Epoch: [89][2460/5005] Time 0.213 (0.210) Data 0.044 (0.048) Loss 2.3478 (2.3041) Prec@1 45.312 (47.391) Prec@5 71.484 (72.727)
Epoch: [89][2470/5005] Time 0.211 (0.210) Data 0.045 (0.048) Loss 2.1136 (2.3039) Prec@1 49.609 (47.391) Prec@5 72.656 (72.731)
Epoch: [89][2480/5005] Time 0.221 (0.210) Data 0.042 (0.048) Loss 2.3457 (2.3042) Prec@1 48.438 (47.387) Prec@5 72.656 (72.729)
Epoch: [89][2490/5005] Time 0.208 (0.210) Data 0.045 (0.048) Loss 2.0761 (2.3042) Prec@1 51.172 (47.385) Prec@5 78.125 (72.731)
Epoch: [89][2500/5005] Time 0.207 (0.210) Data 0.045 (0.048) Loss 2.3262 (2.3042) Prec@1 45.703 (47.383) Prec@5 71.875 (72.730)
Epoch: [89][2510/5005] Time 0.211 (0.210) Data 0.045 (0.048) Loss 2.3978 (2.3042) Prec@1 43.750 (47.382) Prec@5 69.922 (72.729)
Epoch: [89][2520/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.2389 (2.3042) Prec@1 50.000 (47.380) Prec@5 69.922 (72.728)
Epoch: [89][2530/5005] Time 0.213 (0.210) Data 0.044 (0.048) Loss 2.4320 (2.3042) Prec@1 43.359 (47.378) Prec@5 70.312 (72.725)
Epoch: [89][2540/5005] Time 0.209 (0.210) Data 0.041 (0.048) Loss 2.1798 (2.3040) Prec@1 46.484 (47.380) Prec@5 72.266 (72.727)
Epoch: [89][2550/5005] Time 0.215 (0.210) Data 0.044 (0.048) Loss 2.3163 (2.3040) Prec@1 44.141 (47.379) Prec@5 76.172 (72.729)
Epoch: [89][2560/5005] Time 0.210 (0.210) Data 0.042 (0.048) Loss 2.4771 (2.3040) Prec@1 42.578 (47.381) Prec@5 71.484 (72.730)
Epoch: [89][2570/5005] Time 0.206 (0.210) Data 0.041 (0.048) Loss 2.2067 (2.3041) Prec@1 50.000 (47.385) Prec@5 75.000 (72.726)
Epoch: [89][2580/5005] Time 0.201 (0.210) Data 0.042 (0.048) Loss 2.4762 (2.3044) Prec@1 45.703 (47.381) Prec@5 72.656 (72.720)
Epoch: [89][2590/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.4159 (2.3043) Prec@1 47.266 (47.384) Prec@5 72.656 (72.719)
Epoch: [89][2600/5005] Time 0.201 (0.210) Data 0.043 (0.048) Loss 2.4532 (2.3045) Prec@1 46.094 (47.379) Prec@5 72.656 (72.716)
Epoch: [89][2610/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.2838 (2.3042) Prec@1 47.656 (47.385) Prec@5 72.266 (72.725)
Epoch: [89][2620/5005] Time 0.204 (0.210) Data 0.044 (0.048) Loss 2.1977 (2.3042) Prec@1 45.703 (47.382) Prec@5 76.172 (72.729)
Epoch: [89][2630/5005] Time 0.207 (0.210) Data 0.041 (0.048) Loss 2.4537 (2.3044) Prec@1 44.141 (47.381) Prec@5 70.703 (72.722)
Epoch: [89][2640/5005] Time 0.211 (0.210) Data 0.045 (0.048) Loss 2.3789 (2.3043) Prec@1 44.141 (47.383) Prec@5 68.359 (72.721)
Epoch: [89][2650/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.4452 (2.3043) Prec@1 49.609 (47.386) Prec@5 69.922 (72.720)
Epoch: [89][2660/5005] Time 0.209 (0.210) Data 0.041 (0.048) Loss 2.2999 (2.3043) Prec@1 43.750 (47.383) Prec@5 73.828 (72.722)
Epoch: [89][2670/5005] Time 0.210 (0.210) Data 0.045 (0.048) Loss 2.0842 (2.3041) Prec@1 49.219 (47.387) Prec@5 76.562 (72.722)
Epoch: [89][2680/5005] Time 0.214 (0.210) Data 0.042 (0.048) Loss 2.1555 (2.3041) Prec@1 48.828 (47.381) Prec@5 73.828 (72.720)
Epoch: [89][2690/5005] Time 0.210 (0.210) Data 0.046 (0.048) Loss 2.1895 (2.3040) Prec@1 51.562 (47.382) Prec@5 74.219 (72.722)
Epoch: [89][2700/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.1846 (2.3040) Prec@1 48.828 (47.377) Prec@5 73.047 (72.723)
Epoch: [89][2710/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.1403 (2.3040) Prec@1 48.438 (47.371) Prec@5 71.875 (72.720)
Epoch: [89][2720/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.1749 (2.3039) Prec@1 49.609 (47.372) Prec@5 75.000 (72.723)
Epoch: [89][2730/5005] Time 0.207 (0.210) Data 0.045 (0.048) Loss 2.3013 (2.3037) Prec@1 49.609 (47.378) Prec@5 73.438 (72.726)
Epoch: [89][2740/5005] Time 0.207 (0.210) Data 0.049 (0.048) Loss 2.1700 (2.3035) Prec@1 50.781 (47.383) Prec@5 74.219 (72.727)
Epoch: [89][2750/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.3514 (2.3033) Prec@1 44.141 (47.390) Prec@5 70.703 (72.730)
Epoch: [89][2760/5005] Time 0.212 (0.210) Data 0.046 (0.048) Loss 2.3296 (2.3033) Prec@1 44.922 (47.388) Prec@5 71.094 (72.734)
Epoch: [89][2770/5005] Time 0.211 (0.210) Data 0.045 (0.048) Loss 2.2032 (2.3033) Prec@1 50.781 (47.388) Prec@5 75.781 (72.736)
Epoch: [89][2780/5005] Time 0.207 (0.210) Data 0.041 (0.048) Loss 2.4849 (2.3033) Prec@1 48.438 (47.391) Prec@5 68.359 (72.736)
Epoch: [89][2790/5005] Time 0.203 (0.210) Data 0.042 (0.048) Loss 2.5653 (2.3034) Prec@1 39.844 (47.390) Prec@5 67.969 (72.733)
Epoch: [89][2800/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.0431 (2.3033) Prec@1 51.562 (47.393) Prec@5 75.000 (72.735)
Epoch: [89][2810/5005] Time 0.214 (0.210) Data 0.045 (0.047) Loss 2.4566 (2.3033) Prec@1 46.484 (47.393) Prec@5 71.094 (72.734)
Epoch: [89][2820/5005] Time 0.208 (0.210) Data 0.060 (0.048) Loss 1.9123 (2.3032) Prec@1 50.781 (47.392) Prec@5 77.344 (72.735)
Epoch: [89][2830/5005] Time 0.198 (0.210) Data 0.057 (0.048) Loss 2.4468 (2.3032) Prec@1 44.141 (47.391) Prec@5 71.094 (72.734)
Epoch: [89][2840/5005] Time 0.199 (0.210) Data 0.049 (0.048) Loss 2.2606 (2.3033) Prec@1 46.875 (47.387) Prec@5 70.703 (72.732)
Epoch: [89][2850/5005] Time 0.202 (0.210) Data 0.040 (0.048) Loss 2.3869 (2.3032) Prec@1 48.828 (47.389) Prec@5 71.875 (72.731)
Epoch: [89][2860/5005] Time 0.199 (0.210) Data 0.044 (0.048) Loss 2.4269 (2.3034) Prec@1 42.578 (47.385) Prec@5 70.312 (72.729)
Epoch: [89][2870/5005] Time 0.212 (0.210) Data 0.042 (0.048) Loss 2.2090 (2.3031) Prec@1 49.609 (47.391) Prec@5 73.828 (72.733)
Epoch: [89][2880/5005] Time 0.206 (0.210) Data 0.045 (0.048) Loss 2.3272 (2.3031) Prec@1 45.312 (47.390) Prec@5 75.391 (72.734)
Epoch: [89][2890/5005] Time 0.194 (0.210) Data 0.043 (0.048) Loss 2.2634 (2.3029) Prec@1 44.531 (47.394) Prec@5 74.609 (72.736)
Epoch: [89][2900/5005] Time 0.201 (0.210) Data 0.047 (0.048) Loss 2.0038 (2.3026) Prec@1 53.125 (47.400) Prec@5 78.516 (72.744)
Epoch: [89][2910/5005] Time 0.208 (0.210) Data 0.048 (0.048) Loss 2.2239 (2.3027) Prec@1 49.219 (47.399) Prec@5 76.562 (72.743)
Epoch: [89][2920/5005] Time 0.204 (0.210) Data 0.057 (0.048) Loss 2.5018 (2.3027) Prec@1 43.750 (47.399) Prec@5 68.750 (72.744)
Epoch: [89][2930/5005] Time 0.223 (0.210) Data 0.042 (0.048) Loss 2.4986 (2.3027) Prec@1 45.312 (47.401) Prec@5 71.094 (72.741)
Epoch: [89][2940/5005] Time 0.201 (0.210) Data 0.058 (0.048) Loss 2.4337 (2.3025) Prec@1 45.703 (47.403) Prec@5 72.266 (72.743)
Epoch: [89][2950/5005] Time 0.195 (0.210) Data 0.056 (0.048) Loss 2.3555 (2.3023) Prec@1 43.750 (47.404) Prec@5 73.047 (72.749)
Epoch: [89][2960/5005] Time 0.212 (0.210) Data 0.046 (0.048) Loss 2.1993 (2.3020) Prec@1 46.484 (47.412) Prec@5 75.391 (72.752)
Epoch: [89][2970/5005] Time 0.208 (0.210) Data 0.045 (0.048) Loss 2.3477 (2.3018) Prec@1 48.047 (47.417) Prec@5 70.312 (72.753)
Epoch: [89][2980/5005] Time 0.202 (0.210) Data 0.059 (0.048) Loss 2.3803 (2.3018) Prec@1 45.703 (47.416) Prec@5 69.922 (72.752)
Epoch: [89][2990/5005] Time 0.203 (0.210) Data 0.050 (0.048) Loss 2.2322 (2.3018) Prec@1 48.438 (47.412) Prec@5 73.438 (72.750)
Epoch: [89][3000/5005] Time 0.206 (0.210) Data 0.042 (0.048) Loss 2.3109 (2.3018) Prec@1 46.875 (47.413) Prec@5 73.047 (72.750)
Epoch: [89][3010/5005] Time 0.208 (0.210) Data 0.044 (0.048) Loss 2.2713 (2.3019) Prec@1 48.438 (47.410) Prec@5 71.875 (72.748)
Epoch: [89][3020/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.1540 (2.3020) Prec@1 49.609 (47.410) Prec@5 76.172 (72.745)
Epoch: [89][3030/5005] Time 0.216 (0.210) Data 0.043 (0.048) Loss 2.5228 (2.3020) Prec@1 41.797 (47.408) Prec@5 70.703 (72.747)
Epoch: [89][3040/5005] Time 0.213 (0.210) Data 0.044 (0.048) Loss 2.1815 (2.3019) Prec@1 50.391 (47.412) Prec@5 73.047 (72.749)
Epoch: [89][3050/5005] Time 0.207 (0.210) Data 0.041 (0.048) Loss 2.2587 (2.3017) Prec@1 47.266 (47.414) Prec@5 73.047 (72.752)
Epoch: [89][3060/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.1187 (2.3015) Prec@1 49.219 (47.410) Prec@5 75.781 (72.757)
Epoch: [89][3070/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.1954 (2.3016) Prec@1 49.219 (47.411) Prec@5 73.438 (72.751)
Epoch: [89][3080/5005] Time 0.202 (0.210) Data 0.042 (0.047) Loss 2.1827 (2.3015) Prec@1 48.047 (47.411) Prec@5 74.219 (72.754)
Epoch: [89][3090/5005] Time 0.215 (0.210) Data 0.044 (0.047) Loss 2.5521 (2.3014) Prec@1 41.797 (47.411) Prec@5 71.484 (72.758)
Epoch: [89][3100/5005] Time 0.208 (0.210) Data 0.045 (0.047) Loss 2.3559 (2.3014) Prec@1 48.438 (47.411) Prec@5 72.656 (72.761)
Epoch: [89][3110/5005] Time 0.210 (0.210) Data 0.043 (0.047) Loss 2.1001 (2.3011) Prec@1 51.172 (47.414) Prec@5 75.781 (72.765)
Epoch: [89][3120/5005] Time 0.207 (0.210) Data 0.049 (0.047) Loss 2.2841 (2.3010) Prec@1 47.656 (47.414) Prec@5 73.438 (72.765)
Epoch: [89][3130/5005] Time 0.211 (0.210) Data 0.042 (0.047) Loss 2.3565 (2.3009) Prec@1 44.922 (47.421) Prec@5 73.047 (72.771)
Epoch: [89][3140/5005] Time 0.209 (0.210) Data 0.043 (0.047) Loss 1.9399 (2.3006) Prec@1 57.031 (47.429) Prec@5 76.562 (72.773)
Epoch: [89][3150/5005] Time 0.198 (0.210) Data 0.044 (0.047) Loss 2.2368 (2.3005) Prec@1 50.391 (47.434) Prec@5 75.391 (72.774)
Epoch: [89][3160/5005] Time 0.200 (0.210) Data 0.049 (0.047) Loss 2.1087 (2.3005) Prec@1 50.781 (47.436) Prec@5 74.609 (72.772)
Epoch: [89][3170/5005] Time 0.216 (0.210) Data 0.042 (0.047) Loss 2.2553 (2.3005) Prec@1 45.703 (47.435) Prec@5 74.219 (72.773)
Epoch: [89][3180/5005] Time 0.211 (0.210) Data 0.045 (0.047) Loss 2.1677 (2.3005) Prec@1 52.344 (47.435) Prec@5 76.953 (72.774)
Epoch: [89][3190/5005] Time 0.204 (0.210) Data 0.043 (0.047) Loss 2.2802 (2.3005) Prec@1 47.266 (47.437) Prec@5 73.438 (72.777)
Epoch: [89][3200/5005] Time 0.199 (0.210) Data 0.039 (0.047) Loss 2.3711 (2.3005) Prec@1 42.578 (47.440) Prec@5 73.047 (72.780)
Epoch: [89][3210/5005] Time 0.209 (0.210) Data 0.043 (0.047) Loss 2.2879 (2.3003) Prec@1 48.438 (47.444) Prec@5 74.609 (72.786)
Epoch: [89][3220/5005] Time 0.216 (0.210) Data 0.046 (0.047) Loss 2.5036 (2.3002) Prec@1 46.484 (47.448) Prec@5 67.578 (72.782)
Epoch: [89][3230/5005] Time 0.208 (0.210) Data 0.053 (0.047) Loss 2.1863 (2.3000) Prec@1 50.000 (47.452) Prec@5 74.219 (72.785)
Epoch: [89][3240/5005] Time 0.205 (0.210) Data 0.050 (0.047) Loss 2.5943 (2.3004) Prec@1 39.453 (47.444) Prec@5 67.188 (72.776)
Epoch: [89][3250/5005] Time 0.216 (0.210) Data 0.044 (0.047) Loss 2.2663 (2.3004) Prec@1 50.000 (47.444) Prec@5 75.391 (72.776)
Epoch: [89][3260/5005] Time 0.209 (0.210) Data 0.047 (0.047) Loss 2.2774 (2.3006) Prec@1 50.391 (47.444) Prec@5 70.703 (72.772)
Epoch: [89][3270/5005] Time 0.206 (0.210) Data 0.045 (0.047) Loss 2.4075 (2.3003) Prec@1 45.312 (47.445) Prec@5 65.625 (72.774)
Epoch: [89][3280/5005] Time 0.203 (0.210) Data 0.064 (0.047) Loss 2.2646 (2.3003) Prec@1 51.562 (47.446) Prec@5 71.875 (72.773)
Epoch: [89][3290/5005] Time 0.202 (0.210) Data 0.046 (0.047) Loss 2.2842 (2.3002) Prec@1 49.219 (47.446) Prec@5 71.484 (72.775)
Epoch: [89][3300/5005] Time 0.198 (0.210) Data 0.052 (0.047) Loss 2.1588 (2.3002) Prec@1 45.312 (47.444) Prec@5 74.219 (72.772)
Epoch: [89][3310/5005] Time 0.205 (0.210) Data 0.057 (0.047) Loss 2.1039 (2.3002) Prec@1 50.781 (47.445) Prec@5 75.391 (72.771)
Epoch: [89][3320/5005] Time 0.193 (0.210) Data 0.043 (0.047) Loss 2.3024 (2.3002) Prec@1 47.656 (47.443) Prec@5 69.922 (72.769)
Epoch: [89][3330/5005] Time 0.212 (0.210) Data 0.058 (0.048) Loss 2.2541 (2.3003) Prec@1 48.828 (47.440) Prec@5 70.703 (72.769)
Epoch: [89][3340/5005] Time 0.205 (0.210) Data 0.053 (0.048) Loss 2.3975 (2.3003) Prec@1 46.094 (47.442) Prec@5 73.828 (72.768)
Epoch: [89][3350/5005] Time 0.207 (0.210) Data 0.041 (0.048) Loss 2.2677 (2.3002) Prec@1 48.047 (47.442) Prec@5 73.438 (72.770)
Epoch: [89][3360/5005] Time 0.210 (0.210) Data 0.048 (0.048) Loss 2.2147 (2.3002) Prec@1 49.609 (47.443) Prec@5 76.953 (72.771)
Epoch: [89][3370/5005] Time 0.205 (0.210) Data 0.060 (0.048) Loss 2.2940 (2.3003) Prec@1 44.141 (47.439) Prec@5 73.047 (72.771)
Epoch: [89][3380/5005] Time 0.203 (0.210) Data 0.058 (0.048) Loss 2.3063 (2.3002) Prec@1 46.484 (47.442) Prec@5 76.562 (72.773)
Epoch: [89][3390/5005] Time 0.211 (0.210) Data 0.047 (0.048) Loss 2.2844 (2.3004) Prec@1 48.047 (47.437) Prec@5 71.875 (72.770)
Epoch: [89][3400/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.1683 (2.3004) Prec@1 48.047 (47.436) Prec@5 75.781 (72.769)
Epoch: [89][3410/5005] Time 0.205 (0.210) Data 0.058 (0.048) Loss 2.2815 (2.3004) Prec@1 47.656 (47.435) Prec@5 72.656 (72.771)
Epoch: [89][3420/5005] Time 0.216 (0.210) Data 0.043 (0.048) Loss 2.2158 (2.3003) Prec@1 48.047 (47.436) Prec@5 74.609 (72.773)
Epoch: [89][3430/5005] Time 0.205 (0.210) Data 0.045 (0.048) Loss 2.1422 (2.3002) Prec@1 51.953 (47.434) Prec@5 71.484 (72.775)
Epoch: [89][3440/5005] Time 0.203 (0.210) Data 0.044 (0.048) Loss 2.4248 (2.3001) Prec@1 44.922 (47.436) Prec@5 66.016 (72.775)
Epoch: [89][3450/5005] Time 0.208 (0.210) Data 0.043 (0.048) Loss 2.1607 (2.2999) Prec@1 52.344 (47.438) Prec@5 71.484 (72.779)
Epoch: [89][3460/5005] Time 0.206 (0.210) Data 0.051 (0.048) Loss 2.1770 (2.2999) Prec@1 48.828 (47.438) Prec@5 76.953 (72.777)
Epoch: [89][3470/5005] Time 0.193 (0.210) Data 0.050 (0.048) Loss 2.1308 (2.2998) Prec@1 52.734 (47.442) Prec@5 73.828 (72.781)
Epoch: [89][3480/5005] Time 0.207 (0.210) Data 0.041 (0.048) Loss 2.3428 (2.2996) Prec@1 46.484 (47.442) Prec@5 70.703 (72.781)
Epoch: [89][3490/5005] Time 0.211 (0.210) Data 0.041 (0.048) Loss 2.3560 (2.2996) Prec@1 41.406 (47.441) Prec@5 72.266 (72.782)
Epoch: [89][3500/5005] Time 0.210 (0.210) Data 0.042 (0.047) Loss 2.1039 (2.2997) Prec@1 49.609 (47.438) Prec@5 75.781 (72.782)
Epoch: [89][3510/5005] Time 0.209 (0.210) Data 0.050 (0.047) Loss 2.1551 (2.2996) Prec@1 48.047 (47.439) Prec@5 72.266 (72.782)
Epoch: [89][3520/5005] Time 0.217 (0.210) Data 0.047 (0.047) Loss 2.4207 (2.2995) Prec@1 48.828 (47.441) Prec@5 69.922 (72.783)
Epoch: [89][3530/5005] Time 0.209 (0.210) Data 0.054 (0.048) Loss 2.3128 (2.2994) Prec@1 48.828 (47.445) Prec@5 75.000 (72.785)
Epoch: [89][3540/5005] Time 0.198 (0.210) Data 0.048 (0.048) Loss 2.1728 (2.2992) Prec@1 48.047 (47.448) Prec@5 73.828 (72.788)
Epoch: [89][3550/5005] Time 0.215 (0.210) Data 0.042 (0.048) Loss 2.3381 (2.2990) Prec@1 45.703 (47.450) Prec@5 72.656 (72.792)
Epoch: [89][3560/5005] Time 0.203 (0.210) Data 0.042 (0.048) Loss 2.4201 (2.2989) Prec@1 42.969 (47.453) Prec@5 70.312 (72.793)
Epoch: [89][3570/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.1858 (2.2990) Prec@1 50.000 (47.454) Prec@5 75.781 (72.792)
Epoch: [89][3580/5005] Time 0.209 (0.210) Data 0.040 (0.047) Loss 2.1562 (2.2990) Prec@1 49.219 (47.454) Prec@5 75.000 (72.790)
Epoch: [89][3590/5005] Time 0.206 (0.210) Data 0.042 (0.047) Loss 2.2615 (2.2987) Prec@1 46.875 (47.460) Prec@5 73.438 (72.797)
Epoch: [89][3600/5005] Time 0.208 (0.210) Data 0.046 (0.047) Loss 2.3758 (2.2985) Prec@1 48.047 (47.464) Prec@5 70.312 (72.798)
Epoch: [89][3610/5005] Time 0.217 (0.210) Data 0.044 (0.047) Loss 2.1004 (2.2985) Prec@1 51.953 (47.463) Prec@5 72.266 (72.797)
Epoch: [89][3620/5005] Time 0.202 (0.210) Data 0.041 (0.047) Loss 2.3781 (2.2983) Prec@1 47.266 (47.468) Prec@5 69.141 (72.801)
Epoch: [89][3630/5005] Time 0.214 (0.210) Data 0.045 (0.047) Loss 2.5601 (2.2983) Prec@1 44.531 (47.468) Prec@5 68.750 (72.801)
Epoch: [89][3640/5005] Time 0.205 (0.210) Data 0.041 (0.047) Loss 2.3455 (2.2983) Prec@1 47.656 (47.471) Prec@5 67.578 (72.798)
Epoch: [89][3650/5005] Time 0.198 (0.210) Data 0.046 (0.047) Loss 2.2870 (2.2983) Prec@1 46.875 (47.470) Prec@5 71.875 (72.797)
Epoch: [89][3660/5005] Time 0.210 (0.210) Data 0.061 (0.047) Loss 2.2551 (2.2982) Prec@1 45.312 (47.471) Prec@5 69.922 (72.798)
Epoch: [89][3670/5005] Time 0.215 (0.210) Data 0.042 (0.047) Loss 2.3865 (2.2982) Prec@1 44.141 (47.472) Prec@5 69.531 (72.799)
Epoch: [89][3680/5005] Time 0.204 (0.210) Data 0.040 (0.047) Loss 2.1672 (2.2983) Prec@1 50.391 (47.467) Prec@5 74.609 (72.798)
Epoch: [89][3690/5005] Time 0.208 (0.210) Data 0.042 (0.047) Loss 2.1982 (2.2983) Prec@1 48.828 (47.467) Prec@5 75.781 (72.801)
Epoch: [89][3700/5005] Time 0.203 (0.210) Data 0.047 (0.047) Loss 2.4145 (2.2983) Prec@1 46.484 (47.469) Prec@5 69.141 (72.800)
Epoch: [89][3710/5005] Time 0.208 (0.210) Data 0.047 (0.047) Loss 2.2805 (2.2983) Prec@1 50.391 (47.469) Prec@5 74.609 (72.803)
Epoch: [89][3720/5005] Time 0.211 (0.210) Data 0.042 (0.047) Loss 2.5349 (2.2982) Prec@1 42.578 (47.470) Prec@5 68.750 (72.805)
Epoch: [89][3730/5005] Time 0.211 (0.210) Data 0.041 (0.047) Loss 2.1674 (2.2980) Prec@1 51.953 (47.470) Prec@5 78.516 (72.807)
Epoch: [89][3740/5005] Time 0.214 (0.210) Data 0.045 (0.047) Loss 2.2806 (2.2977) Prec@1 48.828 (47.478) Prec@5 75.000 (72.814)
Epoch: [89][3750/5005] Time 0.207 (0.210) Data 0.041 (0.047) Loss 2.1223 (2.2977) Prec@1 49.219 (47.477) Prec@5 77.344 (72.814)
Epoch: [89][3760/5005] Time 0.215 (0.210) Data 0.051 (0.047) Loss 2.2446 (2.2977) Prec@1 48.828 (47.477) Prec@5 71.094 (72.816)
Epoch: [89][3770/5005] Time 0.210 (0.210) Data 0.048 (0.047) Loss 2.4221 (2.2975) Prec@1 45.312 (47.478) Prec@5 69.531 (72.818)
Epoch: [89][3780/5005] Time 0.213 (0.210) Data 0.046 (0.047) Loss 2.2379 (2.2975) Prec@1 49.219 (47.481) Prec@5 74.219 (72.819)
Epoch: [89][3790/5005] Time 0.209 (0.210) Data 0.042 (0.047) Loss 2.4597 (2.2976) Prec@1 44.141 (47.479) Prec@5 71.875 (72.818)
Epoch: [89][3800/5005] Time 0.209 (0.210) Data 0.043 (0.047) Loss 2.2532 (2.2978) Prec@1 46.875 (47.476) Prec@5 73.047 (72.812)
Epoch: [89][3810/5005] Time 0.212 (0.210) Data 0.043 (0.047) Loss 2.3002 (2.2978) Prec@1 48.828 (47.476) Prec@5 72.656 (72.811)
Epoch: [89][3820/5005] Time 0.213 (0.210) Data 0.044 (0.047) Loss 2.1118 (2.2976) Prec@1 51.562 (47.478) Prec@5 75.391 (72.817)
Epoch: [89][3830/5005] Time 0.209 (0.210) Data 0.040 (0.047) Loss 2.1822 (2.2975) Prec@1 49.219 (47.480) Prec@5 75.391 (72.817)
Epoch: [89][3840/5005] Time 0.201 (0.210) Data 0.055 (0.047) Loss 2.5344 (2.2977) Prec@1 40.625 (47.475) Prec@5 69.141 (72.811)
Epoch: [89][3850/5005] Time 0.201 (0.210) Data 0.048 (0.047) Loss 2.1955 (2.2976) Prec@1 51.953 (47.479) Prec@5 74.609 (72.815)
Epoch: [89][3860/5005] Time 0.207 (0.209) Data 0.046 (0.047) Loss 2.1062 (2.2976) Prec@1 50.000 (47.480) Prec@5 75.781 (72.814)
Epoch: [89][3870/5005] Time 0.198 (0.209) Data 0.043 (0.047) Loss 2.2469 (2.2975) Prec@1 45.312 (47.480) Prec@5 71.484 (72.812)
Epoch: [89][3880/5005] Time 0.209 (0.209) Data 0.045 (0.047) Loss 2.1075 (2.2974) Prec@1 49.609 (47.480) Prec@5 75.000 (72.814)
Epoch: [89][3890/5005] Time 0.216 (0.209) Data 0.042 (0.047) Loss 2.4718 (2.2974) Prec@1 46.094 (47.481) Prec@5 70.312 (72.814)
Epoch: [89][3900/5005] Time 0.209 (0.209) Data 0.043 (0.047) Loss 2.4757 (2.2975) Prec@1 43.359 (47.480) Prec@5 71.094 (72.811)
Epoch: [89][3910/5005] Time 0.214 (0.209) Data 0.042 (0.047) Loss 2.3667 (2.2976) Prec@1 45.312 (47.479) Prec@5 69.531 (72.809)
Epoch: [89][3920/5005] Time 0.221 (0.209) Data 0.044 (0.047) Loss 2.2975 (2.2976) Prec@1 47.656 (47.477) Prec@5 72.266 (72.808)
Epoch: [89][3930/5005] Time 0.214 (0.209) Data 0.041 (0.047) Loss 2.2510 (2.2974) Prec@1 47.656 (47.481) Prec@5 74.219 (72.810)
Epoch: [89][3940/5005] Time 0.202 (0.209) Data 0.047 (0.047) Loss 2.2859 (2.2973) Prec@1 50.000 (47.481) Prec@5 68.359 (72.809)
Epoch: [89][3950/5005] Time 0.199 (0.209) Data 0.043 (0.047) Loss 2.1405 (2.2971) Prec@1 49.609 (47.485) Prec@5 74.609 (72.812)
Epoch: [89][3960/5005] Time 0.199 (0.210) Data 0.046 (0.047) Loss 2.1696 (2.2971) Prec@1 48.828 (47.486) Prec@5 75.781 (72.812)
Epoch: [89][3970/5005] Time 0.204 (0.210) Data 0.053 (0.047) Loss 2.3219 (2.2971) Prec@1 48.047 (47.484) Prec@5 71.484 (72.809)
Epoch: [89][3980/5005] Time 0.208 (0.210) Data 0.041 (0.047) Loss 2.2455 (2.2972) Prec@1 49.219 (47.484) Prec@5 73.438 (72.809)
Epoch: [89][3990/5005] Time 0.209 (0.210) Data 0.047 (0.047) Loss 2.3638 (2.2973) Prec@1 44.141 (47.478) Prec@5 70.703 (72.807)
Epoch: [89][4000/5005] Time 0.210 (0.210) Data 0.045 (0.047) Loss 2.2109 (2.2973) Prec@1 50.391 (47.477) Prec@5 73.047 (72.807)
Epoch: [89][4010/5005] Time 0.208 (0.210) Data 0.047 (0.047) Loss 2.4178 (2.2972) Prec@1 43.359 (47.478) Prec@5 70.312 (72.808)
Epoch: [89][4020/5005] Time 0.209 (0.210) Data 0.056 (0.047) Loss 2.3280 (2.2971) Prec@1 48.438 (47.477) Prec@5 70.703 (72.808)
Epoch: [89][4030/5005] Time 0.221 (0.210) Data 0.044 (0.047) Loss 2.4932 (2.2974) Prec@1 46.875 (47.473) Prec@5 71.094 (72.804)
Epoch: [89][4040/5005] Time 0.196 (0.210) Data 0.063 (0.047) Loss 2.3404 (2.2975) Prec@1 46.094 (47.470) Prec@5 71.094 (72.803)
Epoch: [89][4050/5005] Time 0.199 (0.210) Data 0.046 (0.047) Loss 2.4467 (2.2973) Prec@1 46.094 (47.475) Prec@5 68.359 (72.807)
Epoch: [89][4060/5005] Time 0.207 (0.210) Data 0.053 (0.047) Loss 2.3284 (2.2973) Prec@1 45.312 (47.476) Prec@5 72.266 (72.808)
Epoch: [89][4070/5005] Time 0.209 (0.210) Data 0.046 (0.047) Loss 2.4919 (2.2973) Prec@1 45.312 (47.472) Prec@5 69.531 (72.808)
Epoch: [89][4080/5005] Time 0.201 (0.209) Data 0.049 (0.047) Loss 2.2623 (2.2973) Prec@1 44.922 (47.470) Prec@5 75.391 (72.806)
Epoch: [89][4090/5005] Time 0.205 (0.209) Data 0.058 (0.047) Loss 2.3598 (2.2972) Prec@1 47.656 (47.469) Prec@5 70.703 (72.807)
Epoch: [89][4100/5005] Time 0.216 (0.209) Data 0.046 (0.047) Loss 2.1862 (2.2971) Prec@1 51.562 (47.469) Prec@5 74.609 (72.807)
Epoch: [89][4110/5005] Time 0.219 (0.209) Data 0.042 (0.047) Loss 2.3589 (2.2971) Prec@1 45.312 (47.468) Prec@5 73.828 (72.810)
Epoch: [89][4120/5005] Time 0.205 (0.209) Data 0.046 (0.047) Loss 2.3040 (2.2970) Prec@1 48.438 (47.469) Prec@5 74.219 (72.813)
Epoch: [89][4130/5005] Time 0.203 (0.209) Data 0.045 (0.047) Loss 2.4544 (2.2969) Prec@1 43.750 (47.471) Prec@5 69.141 (72.814)
Epoch: [89][4140/5005] Time 0.203 (0.209) Data 0.046 (0.048) Loss 2.4020 (2.2969) Prec@1 43.750 (47.473) Prec@5 72.266 (72.815)
Epoch: [89][4150/5005] Time 0.211 (0.209) Data 0.043 (0.047) Loss 2.5855 (2.2969) Prec@1 41.406 (47.471) Prec@5 69.531 (72.815)
Epoch: [89][4160/5005] Time 0.216 (0.209) Data 0.044 (0.047) Loss 2.1961 (2.2970) Prec@1 49.609 (47.471) Prec@5 74.609 (72.814)
Epoch: [89][4170/5005] Time 0.198 (0.209) Data 0.048 (0.047) Loss 2.2877 (2.2969) Prec@1 44.141 (47.474) Prec@5 74.219 (72.814)
Epoch: [89][4180/5005] Time 0.203 (0.209) Data 0.052 (0.047) Loss 2.2735 (2.2968) Prec@1 50.781 (47.475) Prec@5 75.000 (72.813)
Epoch: [89][4190/5005] Time 0.206 (0.209) Data 0.046 (0.047) Loss 2.2632 (2.2969) Prec@1 48.438 (47.476) Prec@5 72.656 (72.810)
Epoch: [89][4200/5005] Time 0.210 (0.209) Data 0.042 (0.048) Loss 2.2937 (2.2969) Prec@1 50.000 (47.476) Prec@5 70.703 (72.811)
Epoch: [89][4210/5005] Time 0.207 (0.209) Data 0.045 (0.048) Loss 2.0974 (2.2968) Prec@1 47.266 (47.477) Prec@5 76.953 (72.813)
Epoch: [89][4220/5005] Time 0.217 (0.209) Data 0.047 (0.048) Loss 2.4717 (2.2969) Prec@1 46.875 (47.477) Prec@5 70.312 (72.810)
Epoch: [89][4230/5005] Time 0.197 (0.209) Data 0.045 (0.048) Loss 2.3909 (2.2969) Prec@1 47.656 (47.479) Prec@5 69.531 (72.810)
Epoch: [89][4240/5005] Time 0.204 (0.209) Data 0.050 (0.048) Loss 2.0430 (2.2969) Prec@1 51.562 (47.479) Prec@5 76.562 (72.809)
Epoch: [89][4250/5005] Time 0.206 (0.209) Data 0.050 (0.048) Loss 2.1936 (2.2967) Prec@1 50.391 (47.481) Prec@5 73.047 (72.812)
Epoch: [89][4260/5005] Time 0.201 (0.209) Data 0.050 (0.048) Loss 2.2681 (2.2967) Prec@1 47.656 (47.479) Prec@5 72.656 (72.813)
Epoch: [89][4270/5005] Time 0.207 (0.209) Data 0.046 (0.048) Loss 2.4575 (2.2967) Prec@1 46.094 (47.480) Prec@5 72.266 (72.812)
Epoch: [89][4280/5005] Time 0.210 (0.209) Data 0.041 (0.048) Loss 2.4397 (2.2966) Prec@1 44.531 (47.482) Prec@5 67.969 (72.810)
Epoch: [89][4290/5005] Time 0.211 (0.209) Data 0.046 (0.048) Loss 2.5202 (2.2967) Prec@1 43.359 (47.480) Prec@5 67.578 (72.807)
Epoch: [89][4300/5005] Time 0.210 (0.209) Data 0.043 (0.047) Loss 1.9912 (2.2965) Prec@1 51.953 (47.481) Prec@5 76.953 (72.812)
Epoch: [89][4310/5005] Time 0.212 (0.209) Data 0.051 (0.047) Loss 2.2013 (2.2965) Prec@1 49.609 (47.481) Prec@5 73.047 (72.810)
Epoch: [89][4320/5005] Time 0.209 (0.209) Data 0.047 (0.047) Loss 2.3453 (2.2965) Prec@1 46.484 (47.480) Prec@5 73.047 (72.810)
Epoch: [89][4330/5005] Time 0.215 (0.209) Data 0.042 (0.047) Loss 2.1411 (2.2965) Prec@1 48.438 (47.478) Prec@5 76.562 (72.812)
Epoch: [89][4340/5005] Time 0.206 (0.209) Data 0.043 (0.047) Loss 2.3219 (2.2966) Prec@1 47.266 (47.476) Prec@5 73.047 (72.810)
Epoch: [89][4350/5005] Time 0.192 (0.209) Data 0.047 (0.047) Loss 2.2684 (2.2966) Prec@1 46.484 (47.477) Prec@5 77.344 (72.812)
Epoch: [89][4360/5005] Time 0.201 (0.209) Data 0.053 (0.048) Loss 2.0428 (2.2964) Prec@1 49.219 (47.478) Prec@5 76.562 (72.814)
Epoch: [89][4370/5005] Time 0.209 (0.209) Data 0.052 (0.048) Loss 2.3399 (2.2964) Prec@1 42.188 (47.476) Prec@5 73.438 (72.816)
Epoch: [89][4380/5005] Time 0.210 (0.209) Data 0.057 (0.048) Loss 2.3524 (2.2964) Prec@1 45.312 (47.475) Prec@5 70.312 (72.815)
Epoch: [89][4390/5005] Time 0.212 (0.209) Data 0.042 (0.048) Loss 2.2180 (2.2962) Prec@1 48.828 (47.478) Prec@5 71.484 (72.819)
Epoch: [89][4400/5005] Time 0.207 (0.209) Data 0.042 (0.048) Loss 2.2121 (2.2962) Prec@1 51.562 (47.480) Prec@5 75.000 (72.820)
Epoch: [89][4410/5005] Time 0.217 (0.209) Data 0.044 (0.048) Loss 2.2901 (2.2961) Prec@1 44.141 (47.479) Prec@5 73.828 (72.822)
Epoch: [89][4420/5005] Time 0.212 (0.209) Data 0.051 (0.048) Loss 2.0171 (2.2960) Prec@1 54.688 (47.480) Prec@5 75.781 (72.822)
Epoch: [89][4430/5005] Time 0.209 (0.209) Data 0.041 (0.048) Loss 2.2713 (2.2958) Prec@1 47.656 (47.483) Prec@5 73.828 (72.826)
Epoch: [89][4440/5005] Time 0.202 (0.209) Data 0.048 (0.048) Loss 2.4059 (2.2957) Prec@1 41.406 (47.484) Prec@5 72.266 (72.827)
Epoch: [89][4450/5005] Time 0.211 (0.209) Data 0.044 (0.048) Loss 2.1669 (2.2958) Prec@1 46.875 (47.484) Prec@5 73.828 (72.825)
Epoch: [89][4460/5005] Time 0.205 (0.209) Data 0.043 (0.048) Loss 2.5282 (2.2957) Prec@1 43.359 (47.483) Prec@5 68.359 (72.827)
Epoch: [89][4470/5005] Time 0.212 (0.209) Data 0.043 (0.048) Loss 2.2159 (2.2957) Prec@1 48.828 (47.482) Prec@5 74.219 (72.827)
Epoch: [89][4480/5005] Time 0.208 (0.209) Data 0.049 (0.048) Loss 2.0956 (2.2958) Prec@1 50.000 (47.480) Prec@5 75.000 (72.825)
Epoch: [89][4490/5005] Time 0.210 (0.209) Data 0.042 (0.048) Loss 2.3132 (2.2959) Prec@1 46.484 (47.477) Prec@5 73.438 (72.822)
Epoch: [89][4500/5005] Time 0.197 (0.209) Data 0.070 (0.048) Loss 2.2479 (2.2958) Prec@1 47.266 (47.479) Prec@5 76.172 (72.823)
Epoch: [89][4510/5005] Time 0.214 (0.209) Data 0.043 (0.048) Loss 2.0864 (2.2958) Prec@1 50.391 (47.478) Prec@5 76.562 (72.824)
Epoch: [89][4520/5005] Time 0.208 (0.209) Data 0.060 (0.048) Loss 2.1024 (2.2957) Prec@1 51.172 (47.481) Prec@5 79.297 (72.827)
Epoch: [89][4530/5005] Time 0.208 (0.209) Data 0.046 (0.048) Loss 2.0753 (2.2956) Prec@1 51.562 (47.482) Prec@5 75.781 (72.826)
Epoch: [89][4540/5005] Time 0.204 (0.209) Data 0.048 (0.048) Loss 2.3291 (2.2957) Prec@1 47.266 (47.480) Prec@5 71.094 (72.822)
Epoch: [89][4550/5005] Time 0.197 (0.209) Data 0.061 (0.048) Loss 2.4360 (2.2957) Prec@1 48.047 (47.480) Prec@5 71.094 (72.823)
Epoch: [89][4560/5005] Time 0.211 (0.209) Data 0.042 (0.048) Loss 2.2805 (2.2957) Prec@1 47.656 (47.481) Prec@5 73.047 (72.823)
Epoch: [89][4570/5005] Time 0.213 (0.209) Data 0.042 (0.048) Loss 2.3268 (2.2956) Prec@1 50.781 (47.482) Prec@5 72.656 (72.826)
Epoch: [89][4580/5005] Time 0.214 (0.209) Data 0.043 (0.048) Loss 2.2862 (2.2954) Prec@1 45.312 (47.485) Prec@5 73.828 (72.830)
Epoch: [89][4590/5005] Time 0.211 (0.209) Data 0.044 (0.048) Loss 2.0105 (2.2954) Prec@1 52.734 (47.484) Prec@5 77.734 (72.830)
Epoch: [89][4600/5005] Time 0.212 (0.209) Data 0.062 (0.048) Loss 2.1446 (2.2955) Prec@1 48.438 (47.482) Prec@5 76.562 (72.830)
Epoch: [89][4610/5005] Time 0.204 (0.209) Data 0.042 (0.048) Loss 2.1238 (2.2954) Prec@1 47.266 (47.483) Prec@5 74.219 (72.830)
Epoch: [89][4620/5005] Time 0.211 (0.209) Data 0.043 (0.048) Loss 2.2169 (2.2954) Prec@1 49.219 (47.483) Prec@5 74.219 (72.829)
Epoch: [89][4630/5005] Time 0.209 (0.209) Data 0.042 (0.048) Loss 2.2511 (2.2952) Prec@1 47.266 (47.488) Prec@5 74.609 (72.832)
Epoch: [89][4640/5005] Time 0.206 (0.209) Data 0.044 (0.048) Loss 2.3075 (2.2952) Prec@1 49.219 (47.491) Prec@5 72.266 (72.833)
Epoch: [89][4650/5005] Time 0.208 (0.209) Data 0.042 (0.048) Loss 2.3423 (2.2951) Prec@1 47.656 (47.492) Prec@5 73.047 (72.835)
Epoch: [89][4660/5005] Time 0.212 (0.209) Data 0.041 (0.048) Loss 2.6299 (2.2950) Prec@1 41.406 (47.494) Prec@5 66.406 (72.837)
Epoch: [89][4670/5005] Time 0.210 (0.209) Data 0.043 (0.048) Loss 2.1224 (2.2948) Prec@1 46.094 (47.495) Prec@5 74.609 (72.841)
Epoch: [89][4680/5005] Time 0.208 (0.209) Data 0.049 (0.048) Loss 2.1068 (2.2948) Prec@1 48.438 (47.496) Prec@5 81.250 (72.840)
Epoch: [89][4690/5005] Time 0.212 (0.209) Data 0.046 (0.048) Loss 2.2453 (2.2947) Prec@1 45.312 (47.496) Prec@5 75.391 (72.842)
Epoch: [89][4700/5005] Time 0.209 (0.209) Data 0.039 (0.048) Loss 2.2059 (2.2947) Prec@1 48.828 (47.496) Prec@5 76.953 (72.843)
Epoch: [89][4710/5005] Time 0.204 (0.209) Data 0.044 (0.048) Loss 2.1806 (2.2946) Prec@1 50.000 (47.496) Prec@5 73.828 (72.844)
Epoch: [89][4720/5005] Time 0.210 (0.209) Data 0.044 (0.047) Loss 2.1525 (2.2946) Prec@1 49.219 (47.496) Prec@5 74.219 (72.844)
Epoch: [89][4730/5005] Time 0.194 (0.209) Data 0.046 (0.048) Loss 2.3542 (2.2947) Prec@1 47.266 (47.493) Prec@5 71.484 (72.842)
Epoch: [89][4740/5005] Time 0.211 (0.209) Data 0.042 (0.048) Loss 2.1420 (2.2945) Prec@1 48.828 (47.497) Prec@5 75.391 (72.846)
Epoch: [89][4750/5005] Time 0.210 (0.209) Data 0.049 (0.048) Loss 2.2800 (2.2944) Prec@1 48.047 (47.498) Prec@5 74.609 (72.847)
Epoch: [89][4760/5005] Time 0.215 (0.209) Data 0.042 (0.048) Loss 2.5503 (2.2943) Prec@1 41.406 (47.499) Prec@5 69.922 (72.849)
Epoch: [89][4770/5005] Time 0.210 (0.209) Data 0.043 (0.047) Loss 2.2781 (2.2943) Prec@1 47.656 (47.499) Prec@5 71.484 (72.849)
Epoch: [89][4780/5005] Time 0.212 (0.209) Data 0.047 (0.047) Loss 2.3198 (2.2943) Prec@1 48.438 (47.500) Prec@5 73.438 (72.849)
Epoch: [89][4790/5005] Time 0.198 (0.209) Data 0.048 (0.047) Loss 2.5805 (2.2944) Prec@1 42.578 (47.498) Prec@5 64.844 (72.845)
Epoch: [89][4800/5005] Time 0.213 (0.209) Data 0.039 (0.047) Loss 2.5030 (2.2943) Prec@1 44.141 (47.499) Prec@5 68.750 (72.848)
Epoch: [89][4810/5005] Time 0.212 (0.209) Data 0.043 (0.047) Loss 2.4340 (2.2942) Prec@1 45.703 (47.500) Prec@5 71.094 (72.849)
Epoch: [89][4820/5005] Time 0.212 (0.209) Data 0.043 (0.047) Loss 2.4135 (2.2941) Prec@1 46.484 (47.502) Prec@5 71.875 (72.851)
Epoch: [89][4830/5005] Time 0.215 (0.209) Data 0.042 (0.047) Loss 2.2080 (2.2940) Prec@1 49.219 (47.507) Prec@5 76.562 (72.854)
Epoch: [89][4840/5005] Time 0.202 (0.209) Data 0.058 (0.047) Loss 2.1072 (2.2941) Prec@1 49.609 (47.508) Prec@5 74.219 (72.850)
Epoch: [89][4850/5005] Time 0.200 (0.209) Data 0.044 (0.047) Loss 2.2522 (2.2942) Prec@1 48.047 (47.506) Prec@5 71.094 (72.847)
Epoch: [89][4860/5005] Time 0.212 (0.209) Data 0.041 (0.047) Loss 2.3527 (2.2941) Prec@1 45.312 (47.507) Prec@5 73.047 (72.846)
Epoch: [89][4870/5005] Time 0.199 (0.209) Data 0.060 (0.047) Loss 2.1964 (2.2942) Prec@1 51.953 (47.508) Prec@5 74.609 (72.846)
Epoch: [89][4880/5005] Time 0.198 (0.209) Data 0.044 (0.047) Loss 2.1822 (2.2941) Prec@1 47.656 (47.511) Prec@5 73.047 (72.846)
Epoch: [89][4890/5005] Time 0.196 (0.209) Data 0.048 (0.047) Loss 2.4436 (2.2941) Prec@1 44.922 (47.508) Prec@5 70.703 (72.847)
Epoch: [89][4900/5005] Time 0.197 (0.209) Data 0.052 (0.047) Loss 2.2220 (2.2941) Prec@1 49.219 (47.510) Prec@5 73.438 (72.847)
Epoch: [89][4910/5005] Time 0.206 (0.209) Data 0.045 (0.047) Loss 2.2691 (2.2938) Prec@1 46.484 (47.514) Prec@5 75.781 (72.851)
Epoch: [89][4920/5005] Time 0.203 (0.209) Data 0.045 (0.047) Loss 2.1508 (2.2937) Prec@1 48.438 (47.514) Prec@5 75.391 (72.856)
Epoch: [89][4930/5005] Time 0.208 (0.209) Data 0.043 (0.047) Loss 2.4555 (2.2937) Prec@1 44.922 (47.515) Prec@5 71.094 (72.857)
Epoch: [89][4940/5005] Time 0.203 (0.209) Data 0.059 (0.047) Loss 2.1507 (2.2937) Prec@1 53.125 (47.515) Prec@5 74.219 (72.856)
Epoch: [89][4950/5005] Time 0.205 (0.209) Data 0.059 (0.047) Loss 2.0566 (2.2937) Prec@1 50.391 (47.515) Prec@5 77.734 (72.856)
Epoch: [89][4960/5005] Time 0.198 (0.209) Data 0.056 (0.048) Loss 2.3808 (2.2937) Prec@1 45.703 (47.516) Prec@5 71.484 (72.858)
Epoch: [89][4970/5005] Time 0.211 (0.209) Data 0.043 (0.048) Loss 2.4678 (2.2937) Prec@1 41.797 (47.516) Prec@5 70.703 (72.858)
Epoch: [89][4980/5005] Time 0.206 (0.209) Data 0.045 (0.048) Loss 2.3813 (2.2936) Prec@1 46.484 (47.519) Prec@5 72.266 (72.861)
Epoch: [89][4990/5005] Time 0.206 (0.209) Data 0.028 (0.048) Loss 2.2787 (2.2934) Prec@1 43.750 (47.523) Prec@5 71.484 (72.861)
Epoch: [89][5000/5005] Time 0.204 (0.209) Data 0.021 (0.047) Loss 2.3651 (2.2934) Prec@1 48.828 (47.522) Prec@5 73.047 (72.863)
Test: [0/196] Time 1.602 (1.602) Loss 2.3414 (2.3414) Prec@1 50.000 (50.000) Prec@5 71.094 (71.094)
Test: [10/196] Time 0.318 (0.296) Loss 2.4252 (2.5225) Prec@1 45.703 (44.425) Prec@5 72.266 (68.963)
Test: [20/196] Time 0.044 (0.222) Loss 2.4392 (2.5269) Prec@1 45.312 (43.955) Prec@5 73.047 (69.513)
Test: [30/196] Time 0.042 (0.205) Loss 2.4067 (2.5322) Prec@1 45.703 (44.103) Prec@5 69.922 (69.229)
Test: [40/196] Time 0.044 (0.208) Loss 2.2505 (2.5257) Prec@1 50.781 (44.360) Prec@5 75.000 (69.284)
Test: [50/196] Time 0.218 (0.197) Loss 2.6206 (2.5289) Prec@1 49.219 (44.317) Prec@5 71.875 (69.416)
Test: [60/196] Time 0.042 (0.189) Loss 2.4346 (2.5143) Prec@1 46.094 (44.576) Prec@5 70.312 (69.736)
Test: [70/196] Time 0.050 (0.191) Loss 2.4537 (2.5084) Prec@1 46.094 (44.663) Prec@5 69.531 (69.889)
Test: [80/196] Time 0.250 (0.188) Loss 2.3306 (2.5131) Prec@1 50.391 (44.628) Prec@5 78.125 (69.946)
Test: [90/196] Time 0.091 (0.184) Loss 2.6696 (2.5171) Prec@1 44.922 (44.604) Prec@5 66.406 (69.905)
Test: [100/196] Time 0.438 (0.187) Loss 2.5219 (2.5121) Prec@1 44.922 (44.817) Prec@5 70.312 (69.957)
Test: [110/196] Time 0.085 (0.184) Loss 2.7133 (2.5155) Prec@1 43.359 (44.792) Prec@5 64.844 (69.936)
Test: [120/196] Time 0.042 (0.182) Loss 2.3676 (2.5127) Prec@1 44.922 (44.854) Prec@5 71.484 (69.922)
Test: [130/196] Time 0.043 (0.181) Loss 2.1982 (2.5083) Prec@1 48.047 (44.946) Prec@5 74.609 (69.987)
Test: [140/196] Time 0.311 (0.184) Loss 2.3219 (2.5113) Prec@1 51.172 (44.850) Prec@5 71.094 (69.889)
Test: [150/196] Time 0.301 (0.183) Loss 2.1264 (2.5105) Prec@1 51.953 (44.855) Prec@5 78.125 (69.919)
Test: [160/196] Time 0.085 (0.181) Loss 2.4779 (2.5094) Prec@1 48.047 (44.835) Prec@5 69.922 (69.922)
Test: [170/196] Time 0.044 (0.180) Loss 2.4584 (2.5120) Prec@1 44.922 (44.842) Prec@5 70.703 (69.901)
Test: [180/196] Time 0.214 (0.181) Loss 2.6906 (2.5166) Prec@1 39.844 (44.747) Prec@5 65.625 (69.814)
Test: [190/196] Time 0.328 (0.180) Loss 2.7012 (2.5193) Prec@1 41.797 (44.685) Prec@5 67.188 (69.711)
* Prec@1 44.676 Prec@5 69.726
Learning rate: 1e-06
Epoch: [90][0/5005] Time 1.321 (1.321) Data 1.215 (1.215) Loss 2.3646 (2.3646) Prec@1 48.438 (48.438) Prec@5 73.828 (73.828)
Epoch: [90][10/5005] Time 0.205 (0.305) Data 0.042 (0.156) Loss 2.2492 (2.3038) Prec@1 48.438 (46.804) Prec@5 73.438 (72.976)
Epoch: [90][20/5005] Time 0.198 (0.256) Data 0.064 (0.106) Loss 2.4586 (2.3104) Prec@1 44.141 (46.949) Prec@5 69.531 (72.972)
Epoch: [90][30/5005] Time 0.194 (0.239) Data 0.063 (0.090) Loss 2.3230 (2.2791) Prec@1 48.047 (47.732) Prec@5 71.094 (73.148)
Epoch: [90][40/5005] Time 0.204 (0.230) Data 0.047 (0.080) Loss 2.1988 (2.2799) Prec@1 48.047 (47.409) Prec@5 73.828 (73.199)
Epoch: [90][50/5005] Time 0.201 (0.225) Data 0.045 (0.074) Loss 2.1812 (2.2815) Prec@1 45.312 (47.143) Prec@5 77.344 (73.284)
Epoch: [90][60/5005] Time 0.207 (0.221) Data 0.043 (0.069) Loss 2.2083 (2.2882) Prec@1 49.609 (47.163) Prec@5 75.391 (73.124)
Epoch: [90][70/5005] Time 0.205 (0.219) Data 0.049 (0.066) Loss 2.3477 (2.3048) Prec@1 46.094 (46.914) Prec@5 71.875 (72.898)
Epoch: [90][80/5005] Time 0.208 (0.217) Data 0.048 (0.064) Loss 2.3271 (2.2997) Prec@1 46.484 (47.034) Prec@5 73.828 (73.008)
Epoch: [90][90/5005] Time 0.200 (0.215) Data 0.050 (0.063) Loss 2.3822 (2.2987) Prec@1 48.828 (47.154) Prec@5 72.266 (73.034)
Epoch: [90][100/5005] Time 0.203 (0.213) Data 0.047 (0.062) Loss 2.0904 (2.3036) Prec@1 48.828 (47.014) Prec@5 76.562 (72.966)
Epoch: [90][110/5005] Time 0.199 (0.212) Data 0.053 (0.061) Loss 2.1921 (2.3033) Prec@1 51.562 (47.093) Prec@5 73.828 (72.885)
Epoch: [90][120/5005] Time 0.197 (0.211) Data 0.048 (0.060) Loss 2.2542 (2.3035) Prec@1 44.922 (47.204) Prec@5 74.609 (72.895)
Epoch: [90][130/5005] Time 0.205 (0.211) Data 0.048 (0.059) Loss 2.2275 (2.3011) Prec@1 51.953 (47.272) Prec@5 76.172 (72.945)
Epoch: [90][140/5005] Time 0.206 (0.210) Data 0.048 (0.059) Loss 2.3742 (2.2995) Prec@1 46.094 (47.243) Prec@5 72.266 (72.972)
Epoch: [90][150/5005] Time 0.199 (0.210) Data 0.043 (0.058) Loss 2.4680 (2.3020) Prec@1 43.750 (47.196) Prec@5 68.359 (72.894)
Epoch: [90][160/5005] Time 0.203 (0.209) Data 0.060 (0.057) Loss 2.3595 (2.3042) Prec@1 46.484 (47.144) Prec@5 72.656 (72.855)
Epoch: [90][170/5005] Time 0.214 (0.209) Data 0.047 (0.057) Loss 2.3655 (2.3055) Prec@1 49.219 (47.147) Prec@5 74.219 (72.848)
Epoch: [90][180/5005] Time 0.225 (0.210) Data 0.053 (0.057) Loss 2.4858 (2.3056) Prec@1 44.922 (47.194) Prec@5 66.797 (72.777)
Epoch: [90][190/5005] Time 0.223 (0.210) Data 0.044 (0.056) Loss 2.4204 (2.3095) Prec@1 42.969 (47.069) Prec@5 71.094 (72.722)
Epoch: [90][200/5005] Time 0.219 (0.211) Data 0.046 (0.056) Loss 2.5135 (2.3118) Prec@1 40.234 (46.999) Prec@5 69.141 (72.672)
Epoch: [90][210/5005] Time 0.225 (0.211) Data 0.044 (0.055) Loss 2.2213 (2.3141) Prec@1 50.781 (46.984) Prec@5 75.000 (72.641)
Epoch: [90][220/5005] Time 0.213 (0.212) Data 0.062 (0.055) Loss 2.4214 (2.3142) Prec@1 46.875 (47.099) Prec@5 70.312 (72.614)
Epoch: [90][230/5005] Time 0.207 (0.212) Data 0.047 (0.055) Loss 2.3707 (2.3142) Prec@1 48.047 (47.151) Prec@5 69.922 (72.624)
Epoch: [90][240/5005] Time 0.217 (0.212) Data 0.046 (0.055) Loss 2.0988 (2.3148) Prec@1 51.172 (47.095) Prec@5 75.391 (72.638)
Epoch: [90][250/5005] Time 0.221 (0.212) Data 0.046 (0.054) Loss 2.2954 (2.3130) Prec@1 47.266 (47.101) Prec@5 74.219 (72.676)
Epoch: [90][260/5005] Time 0.213 (0.212) Data 0.044 (0.054) Loss 2.1644 (2.3127) Prec@1 48.438 (47.123) Prec@5 73.828 (72.668)
Epoch: [90][270/5005] Time 0.217 (0.212) Data 0.047 (0.054) Loss 2.4724 (2.3139) Prec@1 46.484 (47.107) Prec@5 71.094 (72.648)
Epoch: [90][280/5005] Time 0.215 (0.212) Data 0.051 (0.054) Loss 2.5641 (2.3142) Prec@1 43.359 (47.124) Prec@5 65.234 (72.634)
Epoch: [90][290/5005] Time 0.207 (0.212) Data 0.042 (0.054) Loss 2.2098 (2.3166) Prec@1 49.219 (47.071) Prec@5 72.266 (72.568)
Epoch: [90][300/5005] Time 0.205 (0.212) Data 0.046 (0.053) Loss 2.0853 (2.3163) Prec@1 52.734 (47.114) Prec@5 75.000 (72.564)
Epoch: [90][310/5005] Time 0.214 (0.212) Data 0.045 (0.053) Loss 2.1681 (2.3144) Prec@1 49.609 (47.161) Prec@5 74.609 (72.592)
Epoch: [90][320/5005] Time 0.213 (0.212) Data 0.051 (0.053) Loss 2.4418 (2.3153) Prec@1 43.359 (47.168) Prec@5 72.656 (72.595)
Epoch: [90][330/5005] Time 0.213 (0.212) Data 0.048 (0.053) Loss 2.1602 (2.3140) Prec@1 50.781 (47.170) Prec@5 72.656 (72.607)
Epoch: [90][340/5005] Time 0.210 (0.212) Data 0.040 (0.053) Loss 2.4678 (2.3179) Prec@1 45.312 (47.102) Prec@5 67.969 (72.512)
Epoch: [90][350/5005] Time 0.202 (0.212) Data 0.051 (0.053) Loss 2.3841 (2.3170) Prec@1 48.438 (47.147) Prec@5 69.531 (72.513)
Epoch: [90][360/5005] Time 0.207 (0.212) Data 0.044 (0.052) Loss 2.3688 (2.3168) Prec@1 43.750 (47.131) Prec@5 71.094 (72.504)
Epoch: [90][370/5005] Time 0.207 (0.212) Data 0.053 (0.052) Loss 2.2283 (2.3153) Prec@1 48.828 (47.146) Prec@5 76.172 (72.534)
Epoch: [90][380/5005] Time 0.220 (0.212) Data 0.045 (0.052) Loss 2.3970 (2.3156) Prec@1 44.531 (47.130) Prec@5 71.484 (72.523)
Epoch: [90][390/5005] Time 0.202 (0.212) Data 0.048 (0.052) Loss 2.3057 (2.3149) Prec@1 48.047 (47.138) Prec@5 74.609 (72.545)
Epoch: [90][400/5005] Time 0.215 (0.212) Data 0.048 (0.052) Loss 2.0959 (2.3142) Prec@1 49.219 (47.130) Prec@5 78.125 (72.566)
Epoch: [90][410/5005] Time 0.213 (0.212) Data 0.053 (0.052) Loss 2.0628 (2.3132) Prec@1 51.562 (47.155) Prec@5 76.953 (72.591)
Epoch: [90][420/5005] Time 0.210 (0.212) Data 0.066 (0.052) Loss 2.3171 (2.3128) Prec@1 45.703 (47.165) Prec@5 72.656 (72.586)
Epoch: [90][430/5005] Time 0.213 (0.212) Data 0.050 (0.052) Loss 2.2058 (2.3130) Prec@1 49.609 (47.143) Prec@5 75.000 (72.593)
Epoch: [90][440/5005] Time 0.212 (0.212) Data 0.048 (0.052) Loss 2.1764 (2.3130) Prec@1 51.953 (47.135) Prec@5 73.828 (72.589)
Epoch: [90][450/5005] Time 0.212 (0.212) Data 0.065 (0.052) Loss 2.2350 (2.3137) Prec@1 45.312 (47.134) Prec@5 76.172 (72.573)
Epoch: [90][460/5005] Time 0.214 (0.212) Data 0.046 (0.052) Loss 2.3870 (2.3148) Prec@1 45.703 (47.124) Prec@5 72.266 (72.563)
Epoch: [90][470/5005] Time 0.211 (0.212) Data 0.046 (0.052) Loss 2.3237 (2.3159) Prec@1 42.969 (47.100) Prec@5 68.750 (72.529)
Epoch: [90][480/5005] Time 0.212 (0.212) Data 0.053 (0.052) Loss 2.3037 (2.3160) Prec@1 46.875 (47.109) Prec@5 70.312 (72.530)
Epoch: [90][490/5005] Time 0.210 (0.212) Data 0.041 (0.052) Loss 2.2905 (2.3161) Prec@1 52.344 (47.125) Prec@5 72.656 (72.539)
Epoch: [90][500/5005] Time 0.201 (0.212) Data 0.068 (0.052) Loss 2.4150 (2.3185) Prec@1 48.047 (47.101) Prec@5 71.094 (72.489)
Epoch: [90][510/5005] Time 0.219 (0.212) Data 0.043 (0.052) Loss 2.5605 (2.3185) Prec@1 40.625 (47.093) Prec@5 66.797 (72.477)
Epoch: [90][520/5005] Time 0.207 (0.212) Data 0.045 (0.052) Loss 2.2883 (2.3186) Prec@1 43.750 (47.066) Prec@5 75.000 (72.469)
Epoch: [90][530/5005] Time 0.214 (0.212) Data 0.043 (0.051) Loss 2.2273 (2.3182) Prec@1 44.922 (47.074) Prec@5 75.781 (72.483)
Epoch: [90][540/5005] Time 0.211 (0.212) Data 0.042 (0.051) Loss 2.3549 (2.3186) Prec@1 44.531 (47.063) Prec@5 69.922 (72.480)
Epoch: [90][550/5005] Time 0.213 (0.212) Data 0.043 (0.051) Loss 2.1872 (2.3176) Prec@1 49.219 (47.109) Prec@5 77.344 (72.493)
Epoch: [90][560/5005] Time 0.210 (0.212) Data 0.047 (0.051) Loss 2.4049 (2.3177) Prec@1 46.094 (47.103) Prec@5 72.656 (72.513)
Epoch: [90][570/5005] Time 0.217 (0.212) Data 0.047 (0.051) Loss 2.4107 (2.3186) Prec@1 48.828 (47.070) Prec@5 69.922 (72.507)
Epoch: [90][580/5005] Time 0.214 (0.212) Data 0.042 (0.051) Loss 2.3622 (2.3181) Prec@1 45.703 (47.085) Prec@5 71.484 (72.510)
Epoch: [90][590/5005] Time 0.214 (0.212) Data 0.047 (0.051) Loss 2.5010 (2.3186) Prec@1 46.484 (47.077) Prec@5 71.484 (72.504)
Epoch: [90][600/5005] Time 0.210 (0.212) Data 0.052 (0.051) Loss 2.3136 (2.3196) Prec@1 44.922 (47.039) Prec@5 73.047 (72.485)
Epoch: [90][610/5005] Time 0.216 (0.212) Data 0.049 (0.051) Loss 2.2579 (2.3197) Prec@1 50.000 (47.031) Prec@5 71.875 (72.489)
Epoch: [90][620/5005] Time 0.213 (0.212) Data 0.044 (0.051) Loss 2.4257 (2.3207) Prec@1 48.828 (47.030) Prec@5 71.094 (72.477)
Epoch: [90][630/5005] Time 0.215 (0.212) Data 0.044 (0.051) Loss 2.5382 (2.3203) Prec@1 44.141 (47.037) Prec@5 67.969 (72.479)
Epoch: [90][640/5005] Time 0.212 (0.212) Data 0.043 (0.051) Loss 2.2340 (2.3198) Prec@1 44.922 (47.026) Prec@5 73.438 (72.489)
Epoch: [90][650/5005] Time 0.213 (0.212) Data 0.044 (0.050) Loss 2.4829 (2.3206) Prec@1 42.969 (46.997) Prec@5 69.141 (72.479)
Epoch: [90][660/5005] Time 0.211 (0.212) Data 0.043 (0.050) Loss 2.4074 (2.3199) Prec@1 44.141 (46.993) Prec@5 72.656 (72.507)
Epoch: [90][670/5005] Time 0.210 (0.212) Data 0.043 (0.050) Loss 2.5018 (2.3191) Prec@1 47.656 (47.021) Prec@5 70.703 (72.508)
Epoch: [90][680/5005] Time 0.213 (0.212) Data 0.040 (0.050) Loss 2.3324 (2.3189) Prec@1 47.266 (47.018) Prec@5 73.438 (72.517)
Epoch: [90][690/5005] Time 0.214 (0.212) Data 0.041 (0.050) Loss 2.1697 (2.3187) Prec@1 50.781 (47.023) Prec@5 76.562 (72.523)
Epoch: [90][700/5005] Time 0.211 (0.212) Data 0.041 (0.050) Loss 2.3538 (2.3185) Prec@1 44.531 (47.019) Prec@5 70.312 (72.535)
Epoch: [90][710/5005] Time 0.210 (0.212) Data 0.042 (0.050) Loss 2.1807 (2.3185) Prec@1 47.266 (47.028) Prec@5 73.828 (72.532)
Epoch: [90][720/5005] Time 0.201 (0.212) Data 0.050 (0.050) Loss 2.2884 (2.3178) Prec@1 43.359 (47.047) Prec@5 75.391 (72.536)
Epoch: [90][730/5005] Time 0.204 (0.212) Data 0.050 (0.050) Loss 2.4592 (2.3183) Prec@1 46.094 (47.037) Prec@5 72.656 (72.531)
Epoch: [90][740/5005] Time 0.212 (0.212) Data 0.045 (0.050) Loss 2.4499 (2.3184) Prec@1 44.922 (47.044) Prec@5 70.703 (72.517)
Epoch: [90][750/5005] Time 0.214 (0.212) Data 0.063 (0.050) Loss 2.0386 (2.3176) Prec@1 53.906 (47.059) Prec@5 77.344 (72.527)
Epoch: [90][760/5005] Time 0.205 (0.212) Data 0.046 (0.050) Loss 2.3704 (2.3177) Prec@1 49.219 (47.055) Prec@5 70.312 (72.524)
Epoch: [90][770/5005] Time 0.204 (0.212) Data 0.046 (0.050) Loss 2.3263 (2.3167) Prec@1 44.531 (47.067) Prec@5 74.219 (72.541)
Epoch: [90][780/5005] Time 0.207 (0.212) Data 0.046 (0.050) Loss 2.4315 (2.3165) Prec@1 42.969 (47.074) Prec@5 71.875 (72.533)
Epoch: [90][790/5005] Time 0.210 (0.212) Data 0.049 (0.050) Loss 2.2529 (2.3157) Prec@1 48.438 (47.095) Prec@5 73.828 (72.534)
Epoch: [90][800/5005] Time 0.213 (0.212) Data 0.044 (0.050) Loss 2.0889 (2.3145) Prec@1 50.391 (47.125) Prec@5 75.781 (72.547)
Epoch: [90][810/5005] Time 0.215 (0.212) Data 0.042 (0.050) Loss 2.3514 (2.3144) Prec@1 42.969 (47.117) Prec@5 70.703 (72.558)
Epoch: [90][820/5005] Time 0.212 (0.212) Data 0.041 (0.050) Loss 2.4442 (2.3146) Prec@1 49.219 (47.116) Prec@5 72.656 (72.560)
Epoch: [90][830/5005] Time 0.206 (0.212) Data 0.043 (0.050) Loss 2.2444 (2.3149) Prec@1 46.484 (47.121) Prec@5 74.219 (72.543)
Epoch: [90][840/5005] Time 0.215 (0.212) Data 0.043 (0.050) Loss 2.4319 (2.3150) Prec@1 48.828 (47.125) Prec@5 71.094 (72.558)
Epoch: [90][850/5005] Time 0.225 (0.212) Data 0.042 (0.050) Loss 2.5028 (2.3146) Prec@1 46.094 (47.138) Prec@5 70.703 (72.562)
Epoch: [90][860/5005] Time 0.218 (0.212) Data 0.042 (0.050) Loss 2.2203 (2.3147) Prec@1 48.047 (47.139) Prec@5 73.828 (72.565)
Epoch: [90][870/5005] Time 0.207 (0.212) Data 0.047 (0.050) Loss 2.3407 (2.3137) Prec@1 50.000 (47.161) Prec@5 71.094 (72.569)
Epoch: [90][880/5005] Time 0.200 (0.212) Data 0.053 (0.050) Loss 2.3723 (2.3142) Prec@1 46.875 (47.160) Prec@5 70.312 (72.550)
Epoch: [90][890/5005] Time 0.213 (0.212) Data 0.051 (0.050) Loss 2.5816 (2.3138) Prec@1 43.359 (47.157) Prec@5 66.797 (72.557)
Epoch: [90][900/5005] Time 0.211 (0.212) Data 0.048 (0.050) Loss 2.2603 (2.3137) Prec@1 44.922 (47.146) Prec@5 75.781 (72.562)
Epoch: [90][910/5005] Time 0.218 (0.212) Data 0.048 (0.050) Loss 2.3458 (2.3136) Prec@1 46.484 (47.159) Prec@5 72.266 (72.560)
Epoch: [90][920/5005] Time 0.218 (0.212) Data 0.044 (0.050) Loss 2.3702 (2.3136) Prec@1 44.531 (47.162) Prec@5 71.484 (72.570)
Epoch: [90][930/5005] Time 0.209 (0.212) Data 0.047 (0.050) Loss 2.2916 (2.3133) Prec@1 51.172 (47.179) Prec@5 71.094 (72.568)
Epoch: [90][940/5005] Time 0.214 (0.212) Data 0.043 (0.050) Loss 2.2284 (2.3134) Prec@1 49.219 (47.178) Prec@5 74.219 (72.568)
Epoch: [90][950/5005] Time 0.208 (0.212) Data 0.046 (0.050) Loss 2.3996 (2.3139) Prec@1 45.703 (47.178) Prec@5 71.484 (72.556)
Epoch: [90][960/5005] Time 0.211 (0.212) Data 0.041 (0.050) Loss 2.5434 (2.3140) Prec@1 44.922 (47.190) Prec@5 65.625 (72.546)
Epoch: [90][970/5005] Time 0.207 (0.212) Data 0.046 (0.050) Loss 2.0656 (2.3138) Prec@1 52.344 (47.194) Prec@5 75.000 (72.544)
Epoch: [90][980/5005] Time 0.209 (0.212) Data 0.047 (0.050) Loss 2.2283 (2.3133) Prec@1 46.875 (47.193) Prec@5 73.828 (72.551)
Epoch: [90][990/5005] Time 0.214 (0.212) Data 0.043 (0.050) Loss 2.3687 (2.3139) Prec@1 44.141 (47.185) Prec@5 73.438 (72.544)
Epoch: [90][1000/5005] Time 0.211 (0.212) Data 0.042 (0.049) Loss 2.3510 (2.3137) Prec@1 45.312 (47.194) Prec@5 72.266 (72.547)
Epoch: [90][1010/5005] Time 0.212 (0.212) Data 0.047 (0.049) Loss 2.3710 (2.3131) Prec@1 44.922 (47.200) Prec@5 66.797 (72.546)
Epoch: [90][1020/5005] Time 0.214 (0.211) Data 0.044 (0.049) Loss 2.1863 (2.3137) Prec@1 48.047 (47.183) Prec@5 74.219 (72.539)
Epoch: [90][1030/5005] Time 0.222 (0.211) Data 0.043 (0.049) Loss 2.2457 (2.3132) Prec@1 46.484 (47.177) Prec@5 72.266 (72.543)
Epoch: [90][1040/5005] Time 0.199 (0.213) Data 0.044 (0.049) Loss 2.4803 (2.3137) Prec@1 44.141 (47.167) Prec@5 68.359 (72.535)
Epoch: [90][1050/5005] Time 0.210 (0.213) Data 0.044 (0.049) Loss 2.4277 (2.3137) Prec@1 45.312 (47.157) Prec@5 69.922 (72.532)
Epoch: [90][1060/5005] Time 0.208 (0.213) Data 0.043 (0.049) Loss 2.5316 (2.3143) Prec@1 45.312 (47.159) Prec@5 67.969 (72.519)
Epoch: [90][1070/5005] Time 0.212 (0.213) Data 0.043 (0.049) Loss 2.2434 (2.3142) Prec@1 49.609 (47.157) Prec@5 73.438 (72.520)
Epoch: [90][1080/5005] Time 0.212 (0.213) Data 0.043 (0.049) Loss 2.2965 (2.3144) Prec@1 46.094 (47.153) Prec@5 71.094 (72.513)
Epoch: [90][1090/5005] Time 0.213 (0.212) Data 0.042 (0.049) Loss 2.2281 (2.3141) Prec@1 48.438 (47.168) Prec@5 74.219 (72.513)
Epoch: [90][1100/5005] Time 0.212 (0.212) Data 0.043 (0.049) Loss 2.2306 (2.3137) Prec@1 50.391 (47.172) Prec@5 71.094 (72.512)
Epoch: [90][1110/5005] Time 0.210 (0.212) Data 0.045 (0.049) Loss 2.4173 (2.3139) Prec@1 46.094 (47.180) Prec@5 69.531 (72.505)
Epoch: [90][1120/5005] Time 0.199 (0.212) Data 0.054 (0.049) Loss 2.2234 (2.3129) Prec@1 49.219 (47.200) Prec@5 72.656 (72.524)
Epoch: [90][1130/5005] Time 0.212 (0.212) Data 0.045 (0.049) Loss 2.4530 (2.3132) Prec@1 46.484 (47.201) Prec@5 70.312 (72.512)
Epoch: [90][1140/5005] Time 0.199 (0.212) Data 0.048 (0.049) Loss 2.3900 (2.3126) Prec@1 46.094 (47.204) Prec@5 69.922 (72.522)
Epoch: [90][1150/5005] Time 0.206 (0.212) Data 0.044 (0.049) Loss 2.3013 (2.3123) Prec@1 44.531 (47.204) Prec@5 73.047 (72.527)
Epoch: [90][1160/5005] Time 0.214 (0.212) Data 0.043 (0.049) Loss 2.3441 (2.3124) Prec@1 46.094 (47.201) Prec@5 71.484 (72.518)
Epoch: [90][1170/5005] Time 0.205 (0.212) Data 0.043 (0.049) Loss 2.1636 (2.3125) Prec@1 49.219 (47.203) Prec@5 76.562 (72.520)
Epoch: [90][1180/5005] Time 0.214 (0.212) Data 0.046 (0.049) Loss 2.2265 (2.3124) Prec@1 48.438 (47.204) Prec@5 71.484 (72.526)
Epoch: [90][1190/5005] Time 0.206 (0.212) Data 0.052 (0.049) Loss 2.1124 (2.3120) Prec@1 47.266 (47.211) Prec@5 74.219 (72.523)
Epoch: [90][1200/5005] Time 0.210 (0.212) Data 0.049 (0.049) Loss 2.3756 (2.3121) Prec@1 47.266 (47.212) Prec@5 73.047 (72.522)
Epoch: [90][1210/5005] Time 0.201 (0.212) Data 0.051 (0.049) Loss 2.2052 (2.3125) Prec@1 47.656 (47.205) Prec@5 74.609 (72.523)
Epoch: [90][1220/5005] Time 0.214 (0.212) Data 0.050 (0.049) Loss 2.2948 (2.3126) Prec@1 47.656 (47.202) Prec@5 71.484 (72.520)
Epoch: [90][1230/5005] Time 0.204 (0.212) Data 0.046 (0.049) Loss 2.3605 (2.3125) Prec@1 48.438 (47.204) Prec@5 69.531 (72.515)
Epoch: [90][1240/5005] Time 0.204 (0.212) Data 0.050 (0.049) Loss 2.3570 (2.3125) Prec@1 46.875 (47.200) Prec@5 71.484 (72.507)
Epoch: [90][1250/5005] Time 0.207 (0.212) Data 0.046 (0.049) Loss 2.4518 (2.3127) Prec@1 46.094 (47.202) Prec@5 71.094 (72.500)
Epoch: [90][1260/5005] Time 0.212 (0.212) Data 0.050 (0.049) Loss 2.0858 (2.3120) Prec@1 54.688 (47.207) Prec@5 74.219 (72.517)
Epoch: [90][1270/5005] Time 0.208 (0.212) Data 0.045 (0.049) Loss 2.3657 (2.3124) Prec@1 44.531 (47.205) Prec@5 74.219 (72.509)
Epoch: [90][1280/5005] Time 0.207 (0.212) Data 0.045 (0.049) Loss 2.3137 (2.3128) Prec@1 46.094 (47.199) Prec@5 73.438 (72.508)
Epoch: [90][1290/5005] Time 0.214 (0.212) Data 0.049 (0.049) Loss 2.1307 (2.3123) Prec@1 53.516 (47.216) Prec@5 75.000 (72.511)
Epoch: [90][1300/5005] Time 0.199 (0.212) Data 0.042 (0.049) Loss 2.2105 (2.3119) Prec@1 52.344 (47.224) Prec@5 74.219 (72.519)
Epoch: [90][1310/5005] Time 0.213 (0.212) Data 0.043 (0.049) Loss 2.2998 (2.3117) Prec@1 47.656 (47.225) Prec@5 73.047 (72.532)
Epoch: [90][1320/5005] Time 0.205 (0.212) Data 0.052 (0.049) Loss 2.4892 (2.3116) Prec@1 44.922 (47.229) Prec@5 71.094 (72.535)
Epoch: [90][1330/5005] Time 0.212 (0.212) Data 0.052 (0.049) Loss 2.5150 (2.3119) Prec@1 46.094 (47.225) Prec@5 69.531 (72.530)
Epoch: [90][1340/5005] Time 0.209 (0.212) Data 0.040 (0.049) Loss 2.2955 (2.3119) Prec@1 47.266 (47.229) Prec@5 74.219 (72.536)
Epoch: [90][1350/5005] Time 0.206 (0.212) Data 0.047 (0.049) Loss 2.6475 (2.3124) Prec@1 45.703 (47.217) Prec@5 68.750 (72.532)
Epoch: [90][1360/5005] Time 0.210 (0.212) Data 0.048 (0.049) Loss 2.1180 (2.3119) Prec@1 50.781 (47.220) Prec@5 74.219 (72.535)
Epoch: [90][1370/5005] Time 0.207 (0.212) Data 0.061 (0.049) Loss 2.2403 (2.3116) Prec@1 45.312 (47.221) Prec@5 73.438 (72.538)
Epoch: [90][1380/5005] Time 0.222 (0.212) Data 0.045 (0.049) Loss 2.2728 (2.3114) Prec@1 52.734 (47.227) Prec@5 73.047 (72.542)
Epoch: [90][1390/5005] Time 0.221 (0.212) Data 0.042 (0.049) Loss 2.1503 (2.3114) Prec@1 48.828 (47.234) Prec@5 77.734 (72.544)
Epoch: [90][1400/5005] Time 0.206 (0.212) Data 0.046 (0.049) Loss 2.2611 (2.3105) Prec@1 53.125 (47.247) Prec@5 73.047 (72.558)
Epoch: [90][1410/5005] Time 0.212 (0.212) Data 0.043 (0.049) Loss 2.2983 (2.3104) Prec@1 48.047 (47.251) Prec@5 75.391 (72.561)
Epoch: [90][1420/5005] Time 0.214 (0.212) Data 0.048 (0.049) Loss 2.4667 (2.3105) Prec@1 43.750 (47.247) Prec@5 67.578 (72.560)
Epoch: [90][1430/5005] Time 0.211 (0.212) Data 0.042 (0.049) Loss 2.0249 (2.3102) Prec@1 49.609 (47.250) Prec@5 78.125 (72.571)
Epoch: [90][1440/5005] Time 0.207 (0.212) Data 0.042 (0.049) Loss 2.0834 (2.3099) Prec@1 51.953 (47.255) Prec@5 76.953 (72.579)
Epoch: [90][1450/5005] Time 0.216 (0.212) Data 0.040 (0.049) Loss 2.3436 (2.3097) Prec@1 48.047 (47.259) Prec@5 70.312 (72.577)
Epoch: [90][1460/5005] Time 0.205 (0.212) Data 0.044 (0.049) Loss 2.4269 (2.3095) Prec@1 45.703 (47.267) Prec@5 70.312 (72.577)
Epoch: [90][1470/5005] Time 0.210 (0.212) Data 0.046 (0.049) Loss 2.3072 (2.3096) Prec@1 46.875 (47.273) Prec@5 70.703 (72.570)
Epoch: [90][1480/5005] Time 0.203 (0.211) Data 0.047 (0.049) Loss 2.2312 (2.3097) Prec@1 48.047 (47.266) Prec@5 75.391 (72.567)
Epoch: [90][1490/5005] Time 0.209 (0.211) Data 0.052 (0.049) Loss 2.5604 (2.3096) Prec@1 41.797 (47.265) Prec@5 69.531 (72.570)
Epoch: [90][1500/5005] Time 0.207 (0.211) Data 0.041 (0.049) Loss 2.3001 (2.3095) Prec@1 48.828 (47.268) Prec@5 74.219 (72.574)
Epoch: [90][1510/5005] Time 0.212 (0.211) Data 0.040 (0.049) Loss 2.1757 (2.3092) Prec@1 51.172 (47.277) Prec@5 75.781 (72.580)
Epoch: [90][1520/5005] Time 0.212 (0.211) Data 0.046 (0.049) Loss 2.2807 (2.3088) Prec@1 45.703 (47.281) Prec@5 75.781 (72.588)
Epoch: [90][1530/5005] Time 0.207 (0.211) Data 0.048 (0.049) Loss 2.4580 (2.3088) Prec@1 44.141 (47.278) Prec@5 72.266 (72.584)
Epoch: [90][1540/5005] Time 0.214 (0.211) Data 0.052 (0.049) Loss 2.4437 (2.3091) Prec@1 42.188 (47.264) Prec@5 70.312 (72.575)
Epoch: [90][1550/5005] Time 0.211 (0.211) Data 0.043 (0.049) Loss 2.2624 (2.3091) Prec@1 52.344 (47.267) Prec@5 73.828 (72.573)
Epoch: [90][1560/5005] Time 0.222 (0.211) Data 0.042 (0.049) Loss 2.1721 (2.3091) Prec@1 51.172 (47.267) Prec@5 75.000 (72.577)
Epoch: [90][1570/5005] Time 0.199 (0.211) Data 0.058 (0.049) Loss 2.1425 (2.3087) Prec@1 47.656 (47.274) Prec@5 73.047 (72.579)
Epoch: [90][1580/5005] Time 0.207 (0.211) Data 0.045 (0.049) Loss 2.1816 (2.3088) Prec@1 45.703 (47.265) Prec@5 74.219 (72.576)
Epoch: [90][1590/5005] Time 0.205 (0.211) Data 0.062 (0.049) Loss 2.3103 (2.3089) Prec@1 49.609 (47.259) Prec@5 71.484 (72.570)
Epoch: [90][1600/5005] Time 0.204 (0.211) Data 0.043 (0.049) Loss 2.3089 (2.3089) Prec@1 48.047 (47.262) Prec@5 71.484 (72.570)
Epoch: [90][1610/5005] Time 0.215 (0.211) Data 0.053 (0.049) Loss 2.3890 (2.3088) Prec@1 45.703 (47.262) Prec@5 71.875 (72.574)
Epoch: [90][1620/5005] Time 0.211 (0.211) Data 0.051 (0.049) Loss 2.4489 (2.3087) Prec@1 45.703 (47.256) Prec@5 71.484 (72.579)
Epoch: [90][1630/5005] Time 0.212 (0.211) Data 0.049 (0.049) Loss 2.2611 (2.3086) Prec@1 50.391 (47.256) Prec@5 73.047 (72.576)
Epoch: [90][1640/5005] Time 0.209 (0.211) Data 0.051 (0.049) Loss 2.4009 (2.3091) Prec@1 48.438 (47.250) Prec@5 71.094 (72.567)
Epoch: [90][1650/5005] Time 0.217 (0.211) Data 0.047 (0.049) Loss 2.5032 (2.3090) Prec@1 43.359 (47.246) Prec@5 69.922 (72.573)
Epoch: [90][1660/5005] Time 0.209 (0.211) Data 0.047 (0.049) Loss 2.2634 (2.3085) Prec@1 48.828 (47.258) Prec@5 70.312 (72.581)
Epoch: [90][1670/5005] Time 0.219 (0.211) Data 0.049 (0.049) Loss 2.0815 (2.3087) Prec@1 51.562 (47.254) Prec@5 75.391 (72.577)
Epoch: [90][1680/5005] Time 0.208 (0.211) Data 0.047 (0.049) Loss 2.3899 (2.3090) Prec@1 51.172 (47.248) Prec@5 72.656 (72.576)
Epoch: [90][1690/5005] Time 0.217 (0.211) Data 0.048 (0.049) Loss 2.0645 (2.3087) Prec@1 53.906 (47.253) Prec@5 78.125 (72.584)
Epoch: [90][1700/5005] Time 0.208 (0.211) Data 0.049 (0.049) Loss 2.2168 (2.3082) Prec@1 45.312 (47.264) Prec@5 76.562 (72.591)
Epoch: [90][1710/5005] Time 0.205 (0.211) Data 0.046 (0.049) Loss 2.1722 (2.3079) Prec@1 48.828 (47.265) Prec@5 75.391 (72.599)
Epoch: [90][1720/5005] Time 0.204 (0.211) Data 0.048 (0.049) Loss 2.3390 (2.3078) Prec@1 46.875 (47.263) Prec@5 71.094 (72.598)
Epoch: [90][1730/5005] Time 0.211 (0.211) Data 0.041 (0.049) Loss 2.1526 (2.3076) Prec@1 45.703 (47.258) Prec@5 73.438 (72.601)
Epoch: [90][1740/5005] Time 0.198 (0.211) Data 0.043 (0.049) Loss 2.4362 (2.3073) Prec@1 43.750 (47.262) Prec@5 70.703 (72.608)
Epoch: [90][1750/5005] Time 0.213 (0.211) Data 0.042 (0.049) Loss 2.2371 (2.3070) Prec@1 46.484 (47.264) Prec@5 71.484 (72.614)
Epoch: [90][1760/5005] Time 0.209 (0.211) Data 0.046 (0.049) Loss 1.9693 (2.3067) Prec@1 52.344 (47.272) Prec@5 77.344 (72.616)
Epoch: [90][1770/5005] Time 0.210 (0.211) Data 0.044 (0.049) Loss 2.3615 (2.3065) Prec@1 44.531 (47.276) Prec@5 72.266 (72.622)
Epoch: [90][1780/5005] Time 0.212 (0.211) Data 0.049 (0.049) Loss 2.1712 (2.3063) Prec@1 50.000 (47.272) Prec@5 74.219 (72.623)
Epoch: [90][1790/5005] Time 0.204 (0.211) Data 0.044 (0.049) Loss 2.1448 (2.3059) Prec@1 48.828 (47.278) Prec@5 71.484 (72.628)
Epoch: [90][1800/5005] Time 0.202 (0.211) Data 0.048 (0.049) Loss 2.3488 (2.3056) Prec@1 46.484 (47.286) Prec@5 75.000 (72.634)
Epoch: [90][1810/5005] Time 0.210 (0.211) Data 0.045 (0.049) Loss 2.2291 (2.3056) Prec@1 48.828 (47.284) Prec@5 74.609 (72.637)
Epoch: [90][1820/5005] Time 0.207 (0.211) Data 0.047 (0.049) Loss 2.2835 (2.3056) Prec@1 46.484 (47.284) Prec@5 71.094 (72.638)
Epoch: [90][1830/5005] Time 0.224 (0.211) Data 0.044 (0.049) Loss 2.0868 (2.3053) Prec@1 50.391 (47.285) Prec@5 77.344 (72.638)
Epoch: [90][1840/5005] Time 0.206 (0.211) Data 0.051 (0.049) Loss 2.3962 (2.3051) Prec@1 41.406 (47.285) Prec@5 69.922 (72.641)
Epoch: [90][1850/5005] Time 0.209 (0.211) Data 0.046 (0.049) Loss 2.3043 (2.3049) Prec@1 46.094 (47.287) Prec@5 73.047 (72.645)
Epoch: [90][1860/5005] Time 0.207 (0.211) Data 0.046 (0.049) Loss 2.3107 (2.3050) Prec@1 47.266 (47.285) Prec@5 71.484 (72.644)
Epoch: [90][1870/5005] Time 0.203 (0.211) Data 0.048 (0.049) Loss 2.4727 (2.3054) Prec@1 41.016 (47.278) Prec@5 68.359 (72.642)
Epoch: [90][1880/5005] Time 0.208 (0.211) Data 0.048 (0.049) Loss 2.3191 (2.3056) Prec@1 48.438 (47.279) Prec@5 72.266 (72.636)
Epoch: [90][1890/5005] Time 0.212 (0.211) Data 0.044 (0.049) Loss 2.3087 (2.3053) Prec@1 47.656 (47.282) Prec@5 73.047 (72.643)
Epoch: [90][1900/5005] Time 0.215 (0.211) Data 0.044 (0.049) Loss 2.3409 (2.3057) Prec@1 48.438 (47.276) Prec@5 74.219 (72.637)
Epoch: [90][1910/5005] Time 0.210 (0.211) Data 0.042 (0.049) Loss 2.3417 (2.3057) Prec@1 42.188 (47.268) Prec@5 72.266 (72.633)
Epoch: [90][1920/5005] Time 0.207 (0.211) Data 0.052 (0.049) Loss 2.0806 (2.3055) Prec@1 48.828 (47.267) Prec@5 76.562 (72.636)
Epoch: [90][1930/5005] Time 0.223 (0.211) Data 0.041 (0.049) Loss 2.2484 (2.3053) Prec@1 46.484 (47.270) Prec@5 70.312 (72.640)
Epoch: [90][1940/5005] Time 0.210 (0.211) Data 0.041 (0.049) Loss 2.0800 (2.3050) Prec@1 51.172 (47.272) Prec@5 78.906 (72.646)
Epoch: [90][1950/5005] Time 0.211 (0.211) Data 0.044 (0.049) Loss 2.3480 (2.3047) Prec@1 47.266 (47.281) Prec@5 71.484 (72.651)
Epoch: [90][1960/5005] Time 0.202 (0.211) Data 0.041 (0.049) Loss 2.1483 (2.3045) Prec@1 52.344 (47.292) Prec@5 75.781 (72.656)
Epoch: [90][1970/5005] Time 0.208 (0.211) Data 0.042 (0.049) Loss 2.2225 (2.3046) Prec@1 48.047 (47.287) Prec@5 71.875 (72.652)
Epoch: [90][1980/5005] Time 0.219 (0.211) Data 0.048 (0.049) Loss 2.0226 (2.3045) Prec@1 48.047 (47.286) Prec@5 76.953 (72.655)
Epoch: [90][1990/5005] Time 0.203 (0.211) Data 0.046 (0.049) Loss 2.1918 (2.3043) Prec@1 46.875 (47.295) Prec@5 74.609 (72.660)
Epoch: [90][2000/5005] Time 0.205 (0.211) Data 0.058 (0.049) Loss 2.2459 (2.3044) Prec@1 48.828 (47.294) Prec@5 71.875 (72.661)
Epoch: [90][2010/5005] Time 0.206 (0.211) Data 0.055 (0.049) Loss 2.1188 (2.3042) Prec@1 52.344 (47.296) Prec@5 76.172 (72.661)
Epoch: [90][2020/5005] Time 0.200 (0.211) Data 0.067 (0.049) Loss 2.4174 (2.3044) Prec@1 47.656 (47.301) Prec@5 69.922 (72.654)
Epoch: [90][2030/5005] Time 0.199 (0.211) Data 0.045 (0.049) Loss 2.2698 (2.3046) Prec@1 47.266 (47.301) Prec@5 74.219 (72.646)
Epoch: [90][2040/5005] Time 0.208 (0.211) Data 0.048 (0.049) Loss 2.1000 (2.3043) Prec@1 48.828 (47.304) Prec@5 75.781 (72.654)
Epoch: [90][2050/5005] Time 0.206 (0.211) Data 0.045 (0.049) Loss 2.4114 (2.3042) Prec@1 47.656 (47.305) Prec@5 72.266 (72.662)
Epoch: [90][2060/5005] Time 0.208 (0.211) Data 0.045 (0.049) Loss 2.2686 (2.3043) Prec@1 43.750 (47.298) Prec@5 76.172 (72.660)
Epoch: [90][2070/5005] Time 0.208 (0.211) Data 0.045 (0.049) Loss 2.5059 (2.3046) Prec@1 43.359 (47.292) Prec@5 69.141 (72.650)
Epoch: [90][2080/5005] Time 0.197 (0.211) Data 0.049 (0.049) Loss 2.2832 (2.3046) Prec@1 47.266 (47.284) Prec@5 74.609 (72.652)
Epoch: [90][2090/5005] Time 0.215 (0.211) Data 0.044 (0.049) Loss 2.1538 (2.3041) Prec@1 51.562 (47.293) Prec@5 74.609 (72.659)
Epoch: [90][2100/5005] Time 0.215 (0.211) Data 0.046 (0.049) Loss 2.3323 (2.3039) Prec@1 41.797 (47.298) Prec@5 71.875 (72.662)
Epoch: [90][2110/5005] Time 0.204 (0.211) Data 0.043 (0.049) Loss 2.1513 (2.3040) Prec@1 52.344 (47.303) Prec@5 75.000 (72.658)
Epoch: [90][2120/5005] Time 0.203 (0.211) Data 0.044 (0.049) Loss 2.3410 (2.3038) Prec@1 48.828 (47.310) Prec@5 73.047 (72.664)
Epoch: [90][2130/5005] Time 0.212 (0.211) Data 0.043 (0.049) Loss 2.2785 (2.3034) Prec@1 47.656 (47.318) Prec@5 72.656 (72.671)
Epoch: [90][2140/5005] Time 0.205 (0.211) Data 0.049 (0.049) Loss 2.2501 (2.3033) Prec@1 51.562 (47.324) Prec@5 72.656 (72.674)
Epoch: [90][2150/5005] Time 0.210 (0.211) Data 0.043 (0.048) Loss 2.1357 (2.3033) Prec@1 51.172 (47.324) Prec@5 76.562 (72.677)
Epoch: [90][2160/5005] Time 0.203 (0.211) Data 0.046 (0.049) Loss 2.2746 (2.3032) Prec@1 49.609 (47.323) Prec@5 73.047 (72.679)
Epoch: [90][2170/5005] Time 0.209 (0.211) Data 0.042 (0.048) Loss 2.2383 (2.3030) Prec@1 48.438 (47.327) Prec@5 73.828 (72.681)
Epoch: [90][2180/5005] Time 0.214 (0.211) Data 0.044 (0.048) Loss 2.2718 (2.3028) Prec@1 51.172 (47.331) Prec@5 71.484 (72.686)
Epoch: [90][2190/5005] Time 0.210 (0.211) Data 0.040 (0.048) Loss 2.5989 (2.3029) Prec@1 42.969 (47.326) Prec@5 64.062 (72.684)
Epoch: [90][2200/5005] Time 0.202 (0.211) Data 0.048 (0.048) Loss 2.2687 (2.3030) Prec@1 44.922 (47.322) Prec@5 72.656 (72.685)
Epoch: [90][2210/5005] Time 0.205 (0.211) Data 0.046 (0.048) Loss 2.3480 (2.3034) Prec@1 48.047 (47.318) Prec@5 71.484 (72.680)
Epoch: [90][2220/5005] Time 0.208 (0.211) Data 0.044 (0.048) Loss 2.5466 (2.3032) Prec@1 45.312 (47.322) Prec@5 68.359 (72.683)
Epoch: [90][2230/5005] Time 0.205 (0.211) Data 0.046 (0.048) Loss 2.3271 (2.3032) Prec@1 47.656 (47.321) Prec@5 74.219 (72.682)
Epoch: [90][2240/5005] Time 0.214 (0.211) Data 0.043 (0.048) Loss 2.2359 (2.3034) Prec@1 50.000 (47.319) Prec@5 74.219 (72.678)
Epoch: [90][2250/5005] Time 0.212 (0.211) Data 0.040 (0.048) Loss 2.1899 (2.3036) Prec@1 45.312 (47.314) Prec@5 75.781 (72.676)
Epoch: [90][2260/5005] Time 0.213 (0.211) Data 0.050 (0.048) Loss 2.2311 (2.3032) Prec@1 47.656 (47.322) Prec@5 73.438 (72.681)
Epoch: [90][2270/5005] Time 0.215 (0.211) Data 0.045 (0.048) Loss 2.4236 (2.3031) Prec@1 42.578 (47.330) Prec@5 69.141 (72.685)
Epoch: [90][2280/5005] Time 0.197 (0.211) Data 0.057 (0.048) Loss 2.3284 (2.3032) Prec@1 48.047 (47.327) Prec@5 71.875 (72.685)
Epoch: [90][2290/5005] Time 0.208 (0.211) Data 0.048 (0.048) Loss 2.1665 (2.3032) Prec@1 49.219 (47.319) Prec@5 71.484 (72.682)
Epoch: [90][2300/5005] Time 0.212 (0.211) Data 0.050 (0.048) Loss 2.1150 (2.3032) Prec@1 50.391 (47.316) Prec@5 73.438 (72.681)
Epoch: [90][2310/5005] Time 0.203 (0.211) Data 0.044 (0.048) Loss 2.1989 (2.3029) Prec@1 50.781 (47.324) Prec@5 71.875 (72.685)
Epoch: [90][2320/5005] Time 0.210 (0.211) Data 0.044 (0.048) Loss 2.3781 (2.3029) Prec@1 46.094 (47.326) Prec@5 71.875 (72.688)
Epoch: [90][2330/5005] Time 0.213 (0.211) Data 0.043 (0.048) Loss 2.1510 (2.3027) Prec@1 51.953 (47.329) Prec@5 73.438 (72.689)
Epoch: [90][2340/5005] Time 0.208 (0.211) Data 0.043 (0.048) Loss 2.3054 (2.3026) Prec@1 45.312 (47.333) Prec@5 73.047 (72.692)
Epoch: [90][2350/5005] Time 0.209 (0.211) Data 0.043 (0.048) Loss 2.2923 (2.3025) Prec@1 48.438 (47.336) Prec@5 71.094 (72.689)
Epoch: [90][2360/5005] Time 0.209 (0.211) Data 0.043 (0.048) Loss 2.2987 (2.3026) Prec@1 47.266 (47.335) Prec@5 70.703 (72.686)
Epoch: [90][2370/5005] Time 0.205 (0.211) Data 0.043 (0.048) Loss 2.4627 (2.3029) Prec@1 46.484 (47.326) Prec@5 69.141 (72.679)
Epoch: [90][2380/5005] Time 0.208 (0.211) Data 0.048 (0.048) Loss 2.1775 (2.3027) Prec@1 49.219 (47.329) Prec@5 75.000 (72.683)
Epoch: [90][2390/5005] Time 0.213 (0.211) Data 0.042 (0.048) Loss 2.2884 (2.3026) Prec@1 42.969 (47.328) Prec@5 70.703 (72.683)
Epoch: [90][2400/5005] Time 0.209 (0.211) Data 0.055 (0.048) Loss 2.3097 (2.3026) Prec@1 50.000 (47.324) Prec@5 72.656 (72.684)
Epoch: [90][2410/5005] Time 0.217 (0.211) Data 0.045 (0.048) Loss 2.6002 (2.3026) Prec@1 42.188 (47.322) Prec@5 66.406 (72.680)
Epoch: [90][2420/5005] Time 0.210 (0.211) Data 0.054 (0.048) Loss 2.3723 (2.3024) Prec@1 45.703 (47.326) Prec@5 72.266 (72.684)
Epoch: [90][2430/5005] Time 0.218 (0.211) Data 0.044 (0.048) Loss 2.2377 (2.3026) Prec@1 47.266 (47.320) Prec@5 72.266 (72.675)
Epoch: [90][2440/5005] Time 0.210 (0.211) Data 0.046 (0.048) Loss 2.1224 (2.3025) Prec@1 48.438 (47.324) Prec@5 77.734 (72.675)
Epoch: [90][2450/5005] Time 0.207 (0.211) Data 0.045 (0.048) Loss 2.2043 (2.3023) Prec@1 48.438 (47.327) Prec@5 72.656 (72.677)
Epoch: [90][2460/5005] Time 0.208 (0.211) Data 0.041 (0.048) Loss 2.3123 (2.3022) Prec@1 47.656 (47.332) Prec@5 73.828 (72.676)
Epoch: [90][2470/5005] Time 0.210 (0.211) Data 0.046 (0.048) Loss 2.0732 (2.3019) Prec@1 51.172 (47.337) Prec@5 71.484 (72.680)
Epoch: [90][2480/5005] Time 0.218 (0.211) Data 0.043 (0.048) Loss 2.4086 (2.3021) Prec@1 45.312 (47.330) Prec@5 70.703 (72.678)
Epoch: [90][2490/5005] Time 0.212 (0.211) Data 0.041 (0.048) Loss 2.1069 (2.3022) Prec@1 52.344 (47.327) Prec@5 75.781 (72.675)
Epoch: [90][2500/5005] Time 0.212 (0.211) Data 0.042 (0.048) Loss 2.3283 (2.3023) Prec@1 47.656 (47.323) Prec@5 73.438 (72.675)
Epoch: [90][2510/5005] Time 0.202 (0.211) Data 0.047 (0.048) Loss 2.3993 (2.3025) Prec@1 47.656 (47.324) Prec@5 74.219 (72.675)
Epoch: [90][2520/5005] Time 0.200 (0.210) Data 0.060 (0.048) Loss 2.3565 (2.3026) Prec@1 45.312 (47.324) Prec@5 73.828 (72.673)
Epoch: [90][2530/5005] Time 0.203 (0.210) Data 0.063 (0.048) Loss 2.4271 (2.3025) Prec@1 44.922 (47.325) Prec@5 65.234 (72.671)
Epoch: [90][2540/5005] Time 0.208 (0.210) Data 0.045 (0.048) Loss 2.2582 (2.3024) Prec@1 46.094 (47.331) Prec@5 73.828 (72.676)
Epoch: [90][2550/5005] Time 0.198 (0.210) Data 0.050 (0.048) Loss 2.2466 (2.3023) Prec@1 48.828 (47.335) Prec@5 74.609 (72.678)
Epoch: [90][2560/5005] Time 0.204 (0.210) Data 0.047 (0.048) Loss 2.4826 (2.3025) Prec@1 41.797 (47.332) Prec@5 71.484 (72.677)
Epoch: [90][2570/5005] Time 0.216 (0.210) Data 0.046 (0.048) Loss 2.1970 (2.3024) Prec@1 46.484 (47.333) Prec@5 76.172 (72.678)
Epoch: [90][2580/5005] Time 0.201 (0.210) Data 0.046 (0.048) Loss 2.4051 (2.3027) Prec@1 44.922 (47.326) Prec@5 71.094 (72.673)
Epoch: [90][2590/5005] Time 0.198 (0.210) Data 0.045 (0.048) Loss 2.5211 (2.3026) Prec@1 44.141 (47.332) Prec@5 70.312 (72.675)
Epoch: [90][2600/5005] Time 0.206 (0.210) Data 0.060 (0.048) Loss 2.4525 (2.3028) Prec@1 43.359 (47.325) Prec@5 69.922 (72.673)
Epoch: [90][2610/5005] Time 0.206 (0.210) Data 0.042 (0.048) Loss 2.3975 (2.3026) Prec@1 45.703 (47.329) Prec@5 67.969 (72.676)
Epoch: [90][2620/5005] Time 0.214 (0.210) Data 0.042 (0.048) Loss 2.2616 (2.3027) Prec@1 46.875 (47.329) Prec@5 71.875 (72.674)
Epoch: [90][2630/5005] Time 0.216 (0.210) Data 0.042 (0.048) Loss 2.5334 (2.3030) Prec@1 42.188 (47.326) Prec@5 68.750 (72.669)
Epoch: [90][2640/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.3573 (2.3031) Prec@1 43.750 (47.324) Prec@5 73.047 (72.669)
Epoch: [90][2650/5005] Time 0.215 (0.210) Data 0.046 (0.048) Loss 2.3699 (2.3031) Prec@1 47.266 (47.328) Prec@5 73.438 (72.671)
Epoch: [90][2660/5005] Time 0.204 (0.210) Data 0.046 (0.048) Loss 2.3394 (2.3030) Prec@1 44.141 (47.327) Prec@5 72.656 (72.672)
Epoch: [90][2670/5005] Time 0.207 (0.210) Data 0.043 (0.048) Loss 2.0097 (2.3027) Prec@1 50.000 (47.336) Prec@5 76.953 (72.673)
Epoch: [90][2680/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.2203 (2.3026) Prec@1 51.172 (47.336) Prec@5 74.609 (72.674)
Epoch: [90][2690/5005] Time 0.210 (0.210) Data 0.042 (0.048) Loss 2.0594 (2.3025) Prec@1 52.734 (47.342) Prec@5 76.953 (72.677)
Epoch: [90][2700/5005] Time 0.215 (0.210) Data 0.046 (0.048) Loss 2.2497 (2.3024) Prec@1 50.391 (47.343) Prec@5 74.219 (72.678)
Epoch: [90][2710/5005] Time 0.207 (0.210) Data 0.043 (0.048) Loss 2.1365 (2.3026) Prec@1 48.438 (47.339) Prec@5 77.344 (72.676)
Epoch: [90][2720/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.2788 (2.3026) Prec@1 53.516 (47.344) Prec@5 75.000 (72.677)
Epoch: [90][2730/5005] Time 0.208 (0.210) Data 0.043 (0.048) Loss 2.3165 (2.3024) Prec@1 46.094 (47.346) Prec@5 72.266 (72.681)
Epoch: [90][2740/5005] Time 0.214 (0.210) Data 0.045 (0.048) Loss 2.1325 (2.3022) Prec@1 50.000 (47.348) Prec@5 74.609 (72.679)
Epoch: [90][2750/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.3746 (2.3020) Prec@1 42.969 (47.355) Prec@5 71.875 (72.681)
Epoch: [90][2760/5005] Time 0.209 (0.210) Data 0.044 (0.048) Loss 2.3841 (2.3019) Prec@1 44.531 (47.356) Prec@5 73.438 (72.685)
Epoch: [90][2770/5005] Time 0.205 (0.210) Data 0.048 (0.048) Loss 2.2455 (2.3018) Prec@1 51.172 (47.356) Prec@5 73.828 (72.689)
Epoch: [90][2780/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.5627 (2.3018) Prec@1 41.406 (47.357) Prec@5 67.578 (72.688)
Epoch: [90][2790/5005] Time 0.215 (0.210) Data 0.042 (0.048) Loss 2.5466 (2.3019) Prec@1 42.578 (47.358) Prec@5 70.703 (72.687)
Epoch: [90][2800/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 1.9412 (2.3018) Prec@1 56.250 (47.364) Prec@5 78.516 (72.693)
Epoch: [90][2810/5005] Time 0.208 (0.210) Data 0.042 (0.048) Loss 2.4907 (2.3018) Prec@1 46.094 (47.364) Prec@5 68.359 (72.693)
Epoch: [90][2820/5005] Time 0.209 (0.210) Data 0.042 (0.048) Loss 1.9752 (2.3016) Prec@1 49.219 (47.364) Prec@5 76.953 (72.696)
Epoch: [90][2830/5005] Time 0.194 (0.210) Data 0.064 (0.048) Loss 2.5740 (2.3017) Prec@1 41.016 (47.362) Prec@5 69.922 (72.693)
Epoch: [90][2840/5005] Time 0.203 (0.210) Data 0.047 (0.048) Loss 2.2637 (2.3018) Prec@1 49.609 (47.364) Prec@5 72.656 (72.694)
Epoch: [90][2850/5005] Time 0.207 (0.210) Data 0.042 (0.048) Loss 2.4581 (2.3018) Prec@1 44.141 (47.362) Prec@5 71.875 (72.693)
Epoch: [90][2860/5005] Time 0.207 (0.210) Data 0.046 (0.048) Loss 2.3551 (2.3019) Prec@1 46.484 (47.362) Prec@5 71.094 (72.692)
Epoch: [90][2870/5005] Time 0.200 (0.210) Data 0.044 (0.048) Loss 2.2437 (2.3016) Prec@1 46.094 (47.365) Prec@5 73.047 (72.699)
Epoch: [90][2880/5005] Time 0.201 (0.210) Data 0.042 (0.048) Loss 2.2138 (2.3017) Prec@1 49.219 (47.366) Prec@5 75.781 (72.697)
Epoch: [90][2890/5005] Time 0.206 (0.210) Data 0.042 (0.048) Loss 2.1993 (2.3015) Prec@1 46.484 (47.369) Prec@5 76.172 (72.697)
Epoch: [90][2900/5005] Time 0.199 (0.210) Data 0.066 (0.048) Loss 2.0203 (2.3011) Prec@1 53.906 (47.375) Prec@5 77.734 (72.706)
Epoch: [90][2910/5005] Time 0.213 (0.210) Data 0.042 (0.048) Loss 2.1936 (2.3011) Prec@1 45.312 (47.371) Prec@5 76.562 (72.705)
Epoch: [90][2920/5005] Time 0.214 (0.210) Data 0.046 (0.048) Loss 2.5243 (2.3012) Prec@1 43.750 (47.371) Prec@5 67.578 (72.704)
Epoch: [90][2930/5005] Time 0.213 (0.210) Data 0.049 (0.048) Loss 2.4032 (2.3012) Prec@1 42.969 (47.368) Prec@5 74.219 (72.702)
Epoch: [90][2940/5005] Time 0.206 (0.210) Data 0.052 (0.048) Loss 2.4181 (2.3009) Prec@1 45.703 (47.371) Prec@5 71.875 (72.706)
Epoch: [90][2950/5005] Time 0.207 (0.210) Data 0.044 (0.048) Loss 2.2707 (2.3007) Prec@1 45.703 (47.372) Prec@5 76.172 (72.714)
Epoch: [90][2960/5005] Time 0.204 (0.210) Data 0.053 (0.048) Loss 2.1543 (2.3005) Prec@1 49.609 (47.377) Prec@5 76.172 (72.716)
Epoch: [90][2970/5005] Time 0.204 (0.210) Data 0.052 (0.048) Loss 2.4109 (2.3004) Prec@1 39.844 (47.375) Prec@5 71.094 (72.720)
Epoch: [90][2980/5005] Time 0.203 (0.210) Data 0.069 (0.048) Loss 2.4053 (2.3004) Prec@1 43.359 (47.375) Prec@5 70.312 (72.720)
Epoch: [90][2990/5005] Time 0.205 (0.210) Data 0.047 (0.048) Loss 2.3818 (2.3005) Prec@1 46.484 (47.375) Prec@5 73.047 (72.719)
Epoch: [90][3000/5005] Time 0.205 (0.210) Data 0.045 (0.048) Loss 2.2996 (2.3004) Prec@1 45.703 (47.376) Prec@5 71.875 (72.721)
Epoch: [90][3010/5005] Time 0.210 (0.210) Data 0.047 (0.048) Loss 2.2037 (2.3004) Prec@1 48.828 (47.377) Prec@5 73.828 (72.719)
Epoch: [90][3020/5005] Time 0.214 (0.210) Data 0.048 (0.048) Loss 2.2794 (2.3004) Prec@1 46.484 (47.375) Prec@5 71.094 (72.718)
Epoch: [90][3030/5005] Time 0.204 (0.210) Data 0.042 (0.048) Loss 2.3266 (2.3004) Prec@1 48.047 (47.373) Prec@5 71.875 (72.721)
Epoch: [90][3040/5005] Time 0.200 (0.210) Data 0.049 (0.048) Loss 1.9918 (2.3002) Prec@1 51.562 (47.377) Prec@5 77.344 (72.722)
Epoch: [90][3050/5005] Time 0.212 (0.210) Data 0.059 (0.048) Loss 2.2146 (2.3001) Prec@1 45.312 (47.379) Prec@5 75.000 (72.725)
Epoch: [90][3060/5005] Time 0.203 (0.210) Data 0.058 (0.048) Loss 2.2893 (2.3000) Prec@1 46.094 (47.376) Prec@5 73.438 (72.728)
Epoch: [90][3070/5005] Time 0.218 (0.210) Data 0.042 (0.048) Loss 2.2276 (2.3000) Prec@1 48.828 (47.374) Prec@5 73.438 (72.728)
Epoch: [90][3080/5005] Time 0.206 (0.210) Data 0.042 (0.048) Loss 2.1949 (2.3000) Prec@1 47.266 (47.370) Prec@5 72.656 (72.728)
Epoch: [90][3090/5005] Time 0.206 (0.210) Data 0.043 (0.048) Loss 2.4723 (2.2999) Prec@1 42.578 (47.371) Prec@5 70.312 (72.733)
Epoch: [90][3100/5005] Time 0.204 (0.210) Data 0.053 (0.048) Loss 2.4291 (2.2999) Prec@1 47.656 (47.368) Prec@5 69.922 (72.733)
Epoch: [90][3110/5005] Time 0.208 (0.210) Data 0.049 (0.048) Loss 2.2157 (2.2996) Prec@1 46.484 (47.375) Prec@5 75.781 (72.736)
Epoch: [90][3120/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.4367 (2.2996) Prec@1 45.703 (47.376) Prec@5 69.141 (72.733)
Epoch: [90][3130/5005] Time 0.204 (0.210) Data 0.049 (0.048) Loss 2.3495 (2.2995) Prec@1 45.703 (47.378) Prec@5 70.703 (72.736)
Epoch: [90][3140/5005] Time 0.199 (0.210) Data 0.046 (0.048) Loss 1.9885 (2.2992) Prec@1 54.688 (47.384) Prec@5 79.297 (72.739)
Epoch: [90][3150/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.4105 (2.2991) Prec@1 46.094 (47.390) Prec@5 72.266 (72.742)
Epoch: [90][3160/5005] Time 0.209 (0.210) Data 0.045 (0.048) Loss 2.1442 (2.2990) Prec@1 50.781 (47.395) Prec@5 73.828 (72.743)
Epoch: [90][3170/5005] Time 0.207 (0.210) Data 0.043 (0.048) Loss 2.3393 (2.2990) Prec@1 49.219 (47.396) Prec@5 72.266 (72.740)
Epoch: [90][3180/5005] Time 0.207 (0.210) Data 0.047 (0.048) Loss 2.2434 (2.2991) Prec@1 48.047 (47.392) Prec@5 73.438 (72.738)
Epoch: [90][3190/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.3810 (2.2992) Prec@1 48.047 (47.393) Prec@5 70.703 (72.738)
Epoch: [90][3200/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.2658 (2.2991) Prec@1 43.750 (47.396) Prec@5 73.438 (72.738)
Epoch: [90][3210/5005] Time 0.212 (0.210) Data 0.048 (0.048) Loss 2.4103 (2.2991) Prec@1 47.266 (47.401) Prec@5 73.438 (72.738)
Epoch: [90][3220/5005] Time 0.203 (0.210) Data 0.041 (0.048) Loss 2.4847 (2.2992) Prec@1 47.656 (47.401) Prec@5 66.797 (72.739)
Epoch: [90][3230/5005] Time 0.210 (0.210) Data 0.059 (0.048) Loss 2.2123 (2.2990) Prec@1 50.000 (47.402) Prec@5 74.609 (72.744)
Epoch: [90][3240/5005] Time 0.201 (0.210) Data 0.047 (0.048) Loss 2.5037 (2.2993) Prec@1 41.016 (47.394) Prec@5 71.094 (72.735)
Epoch: [90][3250/5005] Time 0.208 (0.210) Data 0.049 (0.048) Loss 2.1550 (2.2994) Prec@1 53.516 (47.393) Prec@5 75.781 (72.734)
Epoch: [90][3260/5005] Time 0.199 (0.210) Data 0.047 (0.048) Loss 2.2415 (2.2995) Prec@1 49.219 (47.391) Prec@5 73.438 (72.735)
Epoch: [90][3270/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.4497 (2.2993) Prec@1 48.438 (47.398) Prec@5 69.141 (72.737)
Epoch: [90][3280/5005] Time 0.209 (0.210) Data 0.044 (0.048) Loss 2.1561 (2.2993) Prec@1 50.781 (47.399) Prec@5 74.609 (72.736)
Epoch: [90][3290/5005] Time 0.207 (0.210) Data 0.044 (0.048) Loss 2.3790 (2.2993) Prec@1 47.266 (47.401) Prec@5 72.266 (72.738)
Epoch: [90][3300/5005] Time 0.211 (0.210) Data 0.047 (0.048) Loss 2.1385 (2.2992) Prec@1 47.266 (47.403) Prec@5 75.391 (72.739)
Epoch: [90][3310/5005] Time 0.210 (0.210) Data 0.052 (0.048) Loss 2.1369 (2.2991) Prec@1 47.266 (47.402) Prec@5 75.000 (72.740)
Epoch: [90][3320/5005] Time 0.209 (0.210) Data 0.053 (0.048) Loss 2.3553 (2.2990) Prec@1 50.391 (47.403) Prec@5 73.828 (72.743)
Epoch: [90][3330/5005] Time 0.202 (0.210) Data 0.045 (0.048) Loss 2.3197 (2.2992) Prec@1 46.875 (47.405) Prec@5 69.922 (72.739)
Epoch: [90][3340/5005] Time 0.207 (0.210) Data 0.066 (0.048) Loss 2.3353 (2.2992) Prec@1 46.484 (47.403) Prec@5 76.562 (72.740)
Epoch: [90][3350/5005] Time 0.208 (0.210) Data 0.053 (0.048) Loss 2.4328 (2.2992) Prec@1 40.625 (47.401) Prec@5 71.875 (72.742)
Epoch: [90][3360/5005] Time 0.201 (0.210) Data 0.046 (0.048) Loss 2.0968 (2.2991) Prec@1 49.609 (47.403) Prec@5 78.516 (72.745)
Epoch: [90][3370/5005] Time 0.198 (0.210) Data 0.043 (0.048) Loss 2.4110 (2.2992) Prec@1 43.359 (47.399) Prec@5 68.750 (72.741)
Epoch: [90][3380/5005] Time 0.213 (0.210) Data 0.042 (0.048) Loss 2.2193 (2.2990) Prec@1 51.953 (47.407) Prec@5 75.391 (72.745)
Epoch: [90][3390/5005] Time 0.211 (0.210) Data 0.042 (0.048) Loss 2.1449 (2.2991) Prec@1 51.953 (47.405) Prec@5 76.172 (72.744)
Epoch: [90][3400/5005] Time 0.199 (0.210) Data 0.059 (0.048) Loss 2.2446 (2.2991) Prec@1 49.609 (47.405) Prec@5 73.438 (72.747)
Epoch: [90][3410/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.2114 (2.2990) Prec@1 51.172 (47.408) Prec@5 72.656 (72.750)
Epoch: [90][3420/5005] Time 0.211 (0.210) Data 0.041 (0.048) Loss 2.1579 (2.2990) Prec@1 45.703 (47.406) Prec@5 72.656 (72.750)
Epoch: [90][3430/5005] Time 0.205 (0.210) Data 0.049 (0.048) Loss 2.3401 (2.2989) Prec@1 46.875 (47.405) Prec@5 70.703 (72.751)
Epoch: [90][3440/5005] Time 0.216 (0.210) Data 0.044 (0.048) Loss 2.3479 (2.2987) Prec@1 44.531 (47.406) Prec@5 73.438 (72.753)
Epoch: [90][3450/5005] Time 0.211 (0.210) Data 0.060 (0.048) Loss 2.1453 (2.2985) Prec@1 49.219 (47.409) Prec@5 75.781 (72.757)
Epoch: [90][3460/5005] Time 0.201 (0.210) Data 0.065 (0.048) Loss 2.2727 (2.2986) Prec@1 48.438 (47.410) Prec@5 72.266 (72.757)
Epoch: [90][3470/5005] Time 0.212 (0.210) Data 0.049 (0.048) Loss 2.1585 (2.2984) Prec@1 49.219 (47.413) Prec@5 74.609 (72.756)
Epoch: [90][3480/5005] Time 0.210 (0.210) Data 0.042 (0.048) Loss 2.1644 (2.2981) Prec@1 48.438 (47.418) Prec@5 74.609 (72.762)
Epoch: [90][3490/5005] Time 0.212 (0.210) Data 0.042 (0.048) Loss 2.4769 (2.2983) Prec@1 42.188 (47.416) Prec@5 68.750 (72.758)
Epoch: [90][3500/5005] Time 0.207 (0.210) Data 0.048 (0.048) Loss 2.1405 (2.2983) Prec@1 51.172 (47.414) Prec@5 77.734 (72.758)
Epoch: [90][3510/5005] Time 0.209 (0.210) Data 0.041 (0.048) Loss 2.1164 (2.2982) Prec@1 48.438 (47.416) Prec@5 75.000 (72.760)
Epoch: [90][3520/5005] Time 0.208 (0.210) Data 0.050 (0.048) Loss 2.5012 (2.2982) Prec@1 44.531 (47.415) Prec@5 68.750 (72.759)
Epoch: [90][3530/5005] Time 0.217 (0.210) Data 0.041 (0.048) Loss 2.2826 (2.2980) Prec@1 48.047 (47.420) Prec@5 72.266 (72.762)
Epoch: [90][3540/5005] Time 0.212 (0.210) Data 0.042 (0.048) Loss 2.2217 (2.2978) Prec@1 46.484 (47.425) Prec@5 75.781 (72.766)
Epoch: [90][3550/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.2369 (2.2977) Prec@1 46.484 (47.424) Prec@5 72.266 (72.768)
Epoch: [90][3560/5005] Time 0.206 (0.210) Data 0.044 (0.048) Loss 2.3867 (2.2976) Prec@1 46.094 (47.427) Prec@5 72.656 (72.772)
Epoch: [90][3570/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.4801 (2.2976) Prec@1 45.703 (47.427) Prec@5 71.094 (72.771)
Epoch: [90][3580/5005] Time 0.195 (0.210) Data 0.059 (0.048) Loss 2.2383 (2.2976) Prec@1 51.562 (47.427) Prec@5 72.266 (72.772)
Epoch: [90][3590/5005] Time 0.206 (0.210) Data 0.044 (0.048) Loss 2.3090 (2.2972) Prec@1 49.609 (47.434) Prec@5 71.094 (72.780)
Epoch: [90][3600/5005] Time 0.217 (0.210) Data 0.043 (0.048) Loss 2.3139 (2.2969) Prec@1 49.219 (47.440) Prec@5 70.703 (72.783)
Epoch: [90][3610/5005] Time 0.205 (0.210) Data 0.046 (0.048) Loss 2.1701 (2.2969) Prec@1 49.609 (47.439) Prec@5 73.828 (72.781)
Epoch: [90][3620/5005] Time 0.203 (0.210) Data 0.044 (0.048) Loss 2.4418 (2.2968) Prec@1 45.703 (47.444) Prec@5 70.312 (72.785)
Epoch: [90][3630/5005] Time 0.201 (0.210) Data 0.042 (0.048) Loss 2.4196 (2.2967) Prec@1 46.094 (47.444) Prec@5 69.141 (72.785)
Epoch: [90][3640/5005] Time 0.202 (0.210) Data 0.049 (0.048) Loss 2.2864 (2.2968) Prec@1 44.922 (47.441) Prec@5 71.875 (72.783)
Epoch: [90][3650/5005] Time 0.202 (0.210) Data 0.045 (0.048) Loss 2.0908 (2.2968) Prec@1 51.953 (47.440) Prec@5 76.953 (72.784)
Epoch: [90][3660/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.2515 (2.2966) Prec@1 50.391 (47.441) Prec@5 74.219 (72.787)
Epoch: [90][3670/5005] Time 0.208 (0.210) Data 0.042 (0.048) Loss 2.4564 (2.2967) Prec@1 42.578 (47.441) Prec@5 73.438 (72.786)
Epoch: [90][3680/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.2734 (2.2968) Prec@1 50.000 (47.438) Prec@5 74.609 (72.785)
Epoch: [90][3690/5005] Time 0.195 (0.210) Data 0.046 (0.048) Loss 2.0600 (2.2967) Prec@1 50.391 (47.441) Prec@5 78.516 (72.787)
Epoch: [90][3700/5005] Time 0.209 (0.210) Data 0.046 (0.048) Loss 2.2868 (2.2967) Prec@1 50.000 (47.438) Prec@5 74.219 (72.787)
Epoch: [90][3710/5005] Time 0.207 (0.210) Data 0.045 (0.048) Loss 2.3472 (2.2968) Prec@1 48.047 (47.438) Prec@5 73.438 (72.789)
Epoch: [90][3720/5005] Time 0.203 (0.210) Data 0.059 (0.048) Loss 2.4265 (2.2967) Prec@1 48.047 (47.441) Prec@5 69.922 (72.792)
Epoch: [90][3730/5005] Time 0.209 (0.210) Data 0.046 (0.048) Loss 2.1683 (2.2966) Prec@1 49.219 (47.442) Prec@5 76.172 (72.792)
Epoch: [90][3740/5005] Time 0.208 (0.210) Data 0.048 (0.048) Loss 2.3450 (2.2963) Prec@1 47.656 (47.448) Prec@5 74.609 (72.797)
Epoch: [90][3750/5005] Time 0.199 (0.210) Data 0.056 (0.048) Loss 2.0909 (2.2963) Prec@1 55.469 (47.448) Prec@5 76.953 (72.795)
Epoch: [90][3760/5005] Time 0.215 (0.210) Data 0.046 (0.048) Loss 2.2853 (2.2964) Prec@1 48.828 (47.449) Prec@5 73.438 (72.794)
Epoch: [90][3770/5005] Time 0.207 (0.210) Data 0.052 (0.048) Loss 2.3865 (2.2963) Prec@1 44.531 (47.451) Prec@5 69.531 (72.795)
Epoch: [90][3780/5005] Time 0.203 (0.210) Data 0.050 (0.048) Loss 2.1549 (2.2963) Prec@1 51.953 (47.451) Prec@5 76.562 (72.794)
Epoch: [90][3790/5005] Time 0.208 (0.209) Data 0.048 (0.048) Loss 2.3985 (2.2964) Prec@1 48.828 (47.447) Prec@5 71.094 (72.794)
Epoch: [90][3800/5005] Time 0.216 (0.209) Data 0.050 (0.048) Loss 2.3164 (2.2966) Prec@1 44.922 (47.443) Prec@5 74.219 (72.792)
Epoch: [90][3810/5005] Time 0.199 (0.209) Data 0.052 (0.048) Loss 2.2757 (2.2968) Prec@1 49.609 (47.442) Prec@5 74.609 (72.789)
Epoch: [90][3820/5005] Time 0.212 (0.209) Data 0.046 (0.048) Loss 2.1739 (2.2966) Prec@1 50.000 (47.446) Prec@5 73.828 (72.792)
Epoch: [90][3830/5005] Time 0.210 (0.209) Data 0.044 (0.048) Loss 2.2646 (2.2964) Prec@1 47.656 (47.453) Prec@5 71.875 (72.796)
Epoch: [90][3840/5005] Time 0.207 (0.209) Data 0.046 (0.048) Loss 2.4553 (2.2965) Prec@1 42.578 (47.448) Prec@5 68.750 (72.793)
Epoch: [90][3850/5005] Time 0.209 (0.209) Data 0.043 (0.048) Loss 2.2700 (2.2964) Prec@1 49.219 (47.451) Prec@5 74.609 (72.796)
Epoch: [90][3860/5005] Time 0.208 (0.209) Data 0.045 (0.048) Loss 2.0886 (2.2963) Prec@1 51.953 (47.454) Prec@5 77.734 (72.796)
Epoch: [90][3870/5005] Time 0.212 (0.209) Data 0.043 (0.048) Loss 2.1429 (2.2963) Prec@1 49.219 (47.453) Prec@5 75.000 (72.794)
Epoch: [90][3880/5005] Time 0.215 (0.209) Data 0.044 (0.048) Loss 2.1413 (2.2962) Prec@1 48.438 (47.456) Prec@5 74.219 (72.793)
Epoch: [90][3890/5005] Time 0.214 (0.209) Data 0.043 (0.048) Loss 2.3827 (2.2962) Prec@1 48.828 (47.460) Prec@5 72.656 (72.793)
Epoch: [90][3900/5005] Time 0.199 (0.209) Data 0.046 (0.048) Loss 2.4273 (2.2963) Prec@1 45.703 (47.458) Prec@5 73.047 (72.794)
Epoch: [90][3910/5005] Time 0.210 (0.209) Data 0.043 (0.048) Loss 2.3507 (2.2963) Prec@1 43.359 (47.457) Prec@5 70.312 (72.794)
Epoch: [90][3920/5005] Time 0.203 (0.209) Data 0.051 (0.048) Loss 2.1952 (2.2963) Prec@1 51.953 (47.458) Prec@5 73.438 (72.794)
Epoch: [90][3930/5005] Time 0.206 (0.210) Data 0.053 (0.048) Loss 2.3431 (2.2962) Prec@1 44.531 (47.457) Prec@5 71.484 (72.797)
Epoch: [90][3940/5005] Time 0.196 (0.210) Data 0.044 (0.048) Loss 2.3824 (2.2962) Prec@1 46.875 (47.457) Prec@5 71.094 (72.797)
Epoch: [90][3950/5005] Time 0.202 (0.210) Data 0.043 (0.048) Loss 2.1510 (2.2961) Prec@1 50.781 (47.463) Prec@5 75.000 (72.800)
Epoch: [90][3960/5005] Time 0.193 (0.210) Data 0.042 (0.048) Loss 2.1513 (2.2961) Prec@1 48.047 (47.458) Prec@5 76.953 (72.798)
Epoch: [90][3970/5005] Time 0.202 (0.210) Data 0.041 (0.048) Loss 2.3567 (2.2960) Prec@1 48.438 (47.459) Prec@5 71.875 (72.801)
Epoch: [90][3980/5005] Time 0.196 (0.210) Data 0.047 (0.048) Loss 2.2518 (2.2959) Prec@1 47.656 (47.461) Prec@5 73.828 (72.803)
Epoch: [90][3990/5005] Time 0.204 (0.210) Data 0.048 (0.048) Loss 2.4657 (2.2960) Prec@1 44.922 (47.459) Prec@5 70.703 (72.801)
Epoch: [90][4000/5005] Time 0.215 (0.210) Data 0.042 (0.048) Loss 2.2100 (2.2960) Prec@1 47.656 (47.458) Prec@5 73.047 (72.801)
Epoch: [90][4010/5005] Time 0.203 (0.209) Data 0.049 (0.048) Loss 2.3406 (2.2958) Prec@1 44.922 (47.462) Prec@5 70.312 (72.803)
Epoch: [90][4020/5005] Time 0.200 (0.209) Data 0.045 (0.048) Loss 2.4660 (2.2957) Prec@1 45.703 (47.464) Prec@5 71.094 (72.803)
Epoch: [90][4030/5005] Time 0.210 (0.209) Data 0.054 (0.048) Loss 2.5517 (2.2960) Prec@1 44.531 (47.461) Prec@5 68.359 (72.800)
Epoch: [90][4040/5005] Time 0.209 (0.209) Data 0.042 (0.048) Loss 2.3380 (2.2961) Prec@1 47.266 (47.459) Prec@5 71.094 (72.798)
Epoch: [90][4050/5005] Time 0.211 (0.209) Data 0.042 (0.048) Loss 2.4875 (2.2960) Prec@1 43.750 (47.462) Prec@5 69.141 (72.800)
Epoch: [90][4060/5005] Time 0.202 (0.209) Data 0.063 (0.048) Loss 2.2576 (2.2960) Prec@1 46.094 (47.464) Prec@5 74.219 (72.801)
Epoch: [90][4070/5005] Time 0.205 (0.209) Data 0.062 (0.048) Loss 2.5065 (2.2960) Prec@1 45.312 (47.458) Prec@5 69.141 (72.799)
Epoch: [90][4080/5005] Time 0.209 (0.209) Data 0.048 (0.048) Loss 2.2053 (2.2960) Prec@1 49.609 (47.460) Prec@5 72.656 (72.796)
Epoch: [90][4090/5005] Time 0.201 (0.209) Data 0.064 (0.048) Loss 2.3939 (2.2960) Prec@1 47.266 (47.460) Prec@5 69.141 (72.794)
Epoch: [90][4100/5005] Time 0.206 (0.209) Data 0.046 (0.048) Loss 2.3034 (2.2960) Prec@1 46.484 (47.459) Prec@5 72.656 (72.794)
Epoch: [90][4110/5005] Time 0.207 (0.209) Data 0.051 (0.048) Loss 2.4376 (2.2960) Prec@1 45.703 (47.460) Prec@5 68.750 (72.796)
Epoch: [90][4120/5005] Time 0.203 (0.209) Data 0.041 (0.048) Loss 2.3668 (2.2958) Prec@1 43.359 (47.460) Prec@5 69.922 (72.795)
Epoch: [90][4130/5005] Time 0.216 (0.209) Data 0.041 (0.048) Loss 2.6047 (2.2959) Prec@1 43.359 (47.456) Prec@5 64.453 (72.794)
Epoch: [90][4140/5005] Time 0.208 (0.209) Data 0.042 (0.048) Loss 2.3696 (2.2959) Prec@1 48.047 (47.458) Prec@5 71.094 (72.794)
Epoch: [90][4150/5005] Time 0.217 (0.209) Data 0.044 (0.048) Loss 2.4626 (2.2959) Prec@1 42.188 (47.457) Prec@5 69.922 (72.795)
Epoch: [90][4160/5005] Time 0.208 (0.209) Data 0.046 (0.048) Loss 2.1587 (2.2961) Prec@1 53.516 (47.455) Prec@5 74.609 (72.792)
Epoch: [90][4170/5005] Time 0.205 (0.209) Data 0.050 (0.048) Loss 2.1591 (2.2960) Prec@1 49.219 (47.457) Prec@5 72.656 (72.792)
Epoch: [90][4180/5005] Time 0.202 (0.209) Data 0.043 (0.048) Loss 2.2776 (2.2960) Prec@1 50.391 (47.459) Prec@5 74.219 (72.794)
Epoch: [90][4190/5005] Time 0.204 (0.209) Data 0.051 (0.048) Loss 2.1633 (2.2959) Prec@1 51.562 (47.461) Prec@5 74.609 (72.793)
Epoch: [90][4200/5005] Time 0.212 (0.209) Data 0.043 (0.048) Loss 2.1424 (2.2959) Prec@1 48.047 (47.461) Prec@5 72.266 (72.790)
Epoch: [90][4210/5005] Time 0.194 (0.209) Data 0.044 (0.048) Loss 2.1743 (2.2958) Prec@1 48.438 (47.464) Prec@5 75.000 (72.793)
Epoch: [90][4220/5005] Time 0.212 (0.209) Data 0.047 (0.048) Loss 2.4464 (2.2960) Prec@1 43.359 (47.459) Prec@5 71.484 (72.791)
Epoch: [90][4230/5005] Time 0.202 (0.209) Data 0.044 (0.048) Loss 2.3194 (2.2960) Prec@1 48.047 (47.460) Prec@5 70.703 (72.789)
Epoch: [90][4240/5005] Time 0.199 (0.209) Data 0.043 (0.048) Loss 2.2257 (2.2961) Prec@1 49.219 (47.459) Prec@5 72.656 (72.786)
Epoch: [90][4250/5005] Time 0.203 (0.209) Data 0.043 (0.048) Loss 2.0576 (2.2960) Prec@1 52.344 (47.459) Prec@5 74.609 (72.788)
Epoch: [90][4260/5005] Time 0.202 (0.209) Data 0.048 (0.048) Loss 2.3419 (2.2960) Prec@1 45.703 (47.461) Prec@5 72.266 (72.788)
Epoch: [90][4270/5005] Time 0.207 (0.209) Data 0.042 (0.048) Loss 2.4356 (2.2960) Prec@1 48.828 (47.463) Prec@5 70.703 (72.787)
Epoch: [90][4280/5005] Time 0.206 (0.209) Data 0.051 (0.048) Loss 2.3960 (2.2961) Prec@1 47.656 (47.466) Prec@5 69.141 (72.785)
Epoch: [90][4290/5005] Time 0.201 (0.209) Data 0.046 (0.048) Loss 2.3109 (2.2961) Prec@1 50.000 (47.461) Prec@5 71.875 (72.786)
Epoch: [90][4300/5005] Time 0.207 (0.209) Data 0.046 (0.048) Loss 2.0519 (2.2960) Prec@1 50.391 (47.463) Prec@5 77.734 (72.788)
Epoch: [90][4310/5005] Time 0.216 (0.209) Data 0.042 (0.048) Loss 2.0982 (2.2958) Prec@1 48.047 (47.466) Prec@5 76.953 (72.790)
Epoch: [90][4320/5005] Time 0.205 (0.209) Data 0.048 (0.048) Loss 2.3657 (2.2959) Prec@1 48.047 (47.466) Prec@5 74.609 (72.789)
Epoch: [90][4330/5005] Time 0.204 (0.209) Data 0.051 (0.048) Loss 2.2751 (2.2959) Prec@1 48.047 (47.469) Prec@5 71.875 (72.789)
Epoch: [90][4340/5005] Time 0.204 (0.209) Data 0.046 (0.048) Loss 2.3506 (2.2960) Prec@1 46.094 (47.469) Prec@5 70.312 (72.787)
Epoch: [90][4350/5005] Time 0.213 (0.209) Data 0.044 (0.048) Loss 2.2606 (2.2959) Prec@1 49.219 (47.472) Prec@5 71.875 (72.791)
Epoch: [90][4360/5005] Time 0.208 (0.209) Data 0.052 (0.048) Loss 2.1471 (2.2958) Prec@1 47.266 (47.471) Prec@5 73.438 (72.793)
Epoch: [90][4370/5005] Time 0.209 (0.209) Data 0.049 (0.048) Loss 2.1999 (2.2958) Prec@1 48.438 (47.471) Prec@5 73.828 (72.794)
Epoch: [90][4380/5005] Time 0.206 (0.209) Data 0.049 (0.048) Loss 2.3701 (2.2958) Prec@1 44.141 (47.470) Prec@5 72.266 (72.796)
Epoch: [90][4390/5005] Time 0.200 (0.209) Data 0.042 (0.048) Loss 2.2718 (2.2956) Prec@1 46.875 (47.476) Prec@5 71.875 (72.798)
Epoch: [90][4400/5005] Time 0.218 (0.209) Data 0.045 (0.048) Loss 2.2645 (2.2956) Prec@1 46.094 (47.476) Prec@5 71.094 (72.797)
Epoch: [90][4410/5005] Time 0.206 (0.209) Data 0.045 (0.048) Loss 2.3276 (2.2955) Prec@1 47.266 (47.474) Prec@5 70.703 (72.799)
Epoch: [90][4420/5005] Time 0.206 (0.209) Data 0.068 (0.048) Loss 1.9165 (2.2954) Prec@1 54.688 (47.476) Prec@5 76.953 (72.799)
Epoch: [90][4430/5005] Time 0.214 (0.209) Data 0.041 (0.048) Loss 2.4435 (2.2952) Prec@1 42.188 (47.479) Prec@5 67.969 (72.801)
Epoch: [90][4440/5005] Time 0.210 (0.209) Data 0.043 (0.048) Loss 2.2843 (2.2952) Prec@1 46.875 (47.480) Prec@5 72.656 (72.803)
Epoch: [90][4450/5005] Time 0.212 (0.209) Data 0.043 (0.048) Loss 2.0626 (2.2951) Prec@1 53.125 (47.481) Prec@5 76.953 (72.802)
Epoch: [90][4460/5005] Time 0.206 (0.209) Data 0.044 (0.048) Loss 2.3082 (2.2950) Prec@1 48.828 (47.482) Prec@5 71.875 (72.805)
Epoch: [90][4470/5005] Time 0.216 (0.209) Data 0.044 (0.048) Loss 2.1601 (2.2951) Prec@1 47.266 (47.479) Prec@5 75.000 (72.804)
Epoch: [90][4480/5005] Time 0.206 (0.209) Data 0.050 (0.048) Loss 2.2024 (2.2952) Prec@1 50.781 (47.475) Prec@5 73.047 (72.802)
Epoch: [90][4490/5005] Time 0.210 (0.209) Data 0.043 (0.048) Loss 2.3583 (2.2953) Prec@1 46.875 (47.473) Prec@5 72.266 (72.801)
Epoch: [90][4500/5005] Time 0.201 (0.209) Data 0.048 (0.048) Loss 2.3569 (2.2953) Prec@1 46.484 (47.473) Prec@5 71.875 (72.800)
Epoch: [90][4510/5005] Time 0.225 (0.209) Data 0.047 (0.048) Loss 2.0180 (2.2953) Prec@1 51.562 (47.472) Prec@5 78.125 (72.800)
Epoch: [90][4520/5005] Time 0.205 (0.209) Data 0.059 (0.048) Loss 2.2173 (2.2951) Prec@1 48.438 (47.478) Prec@5 76.562 (72.803)
Epoch: [90][4530/5005] Time 0.205 (0.209) Data 0.046 (0.048) Loss 2.2459 (2.2951) Prec@1 51.172 (47.481) Prec@5 72.656 (72.803)
Epoch: [90][4540/5005] Time 0.207 (0.209) Data 0.042 (0.048) Loss 2.4186 (2.2952) Prec@1 47.266 (47.480) Prec@5 70.703 (72.800)
Epoch: [90][4550/5005] Time 0.207 (0.209) Data 0.048 (0.048) Loss 2.2534 (2.2951) Prec@1 50.000 (47.483) Prec@5 72.266 (72.801)
Epoch: [90][4560/5005] Time 0.203 (0.209) Data 0.039 (0.048) Loss 2.3533 (2.2951) Prec@1 49.609 (47.485) Prec@5 72.656 (72.801)
Epoch: [90][4570/5005] Time 0.210 (0.209) Data 0.046 (0.048) Loss 2.2935 (2.2950) Prec@1 47.656 (47.485) Prec@5 74.219 (72.802)
Epoch: [90][4580/5005] Time 0.206 (0.209) Data 0.045 (0.048) Loss 2.3913 (2.2950) Prec@1 44.922 (47.484) Prec@5 71.094 (72.802)
Epoch: [90][4590/5005] Time 0.209 (0.209) Data 0.043 (0.048) Loss 2.0956 (2.2951) Prec@1 51.172 (47.483) Prec@5 76.172 (72.800)
Epoch: [90][4600/5005] Time 0.209 (0.209) Data 0.044 (0.048) Loss 2.1375 (2.2952) Prec@1 53.516 (47.482) Prec@5 74.219 (72.797)
Epoch: [90][4610/5005] Time 0.214 (0.209) Data 0.044 (0.048) Loss 2.0690 (2.2952) Prec@1 51.172 (47.482) Prec@5 77.344 (72.796)
Epoch: [90][4620/5005] Time 0.205 (0.209) Data 0.042 (0.048) Loss 2.1733 (2.2952) Prec@1 50.000 (47.483) Prec@5 73.438 (72.795)
Epoch: [90][4630/5005] Time 0.207 (0.209) Data 0.046 (0.048) Loss 2.1499 (2.2951) Prec@1 50.000 (47.486) Prec@5 76.562 (72.797)
Epoch: [90][4640/5005] Time 0.217 (0.209) Data 0.039 (0.048) Loss 2.4574 (2.2950) Prec@1 46.094 (47.486) Prec@5 68.750 (72.796)
Epoch: [90][4650/5005] Time 0.210 (0.209) Data 0.043 (0.048) Loss 2.3175 (2.2949) Prec@1 48.047 (47.487) Prec@5 67.188 (72.797)
Epoch: [90][4660/5005] Time 0.218 (0.209) Data 0.051 (0.048) Loss 2.5858 (2.2950) Prec@1 40.625 (47.485) Prec@5 66.406 (72.796)
Epoch: [90][4670/5005] Time 0.206 (0.209) Data 0.053 (0.048) Loss 2.2239 (2.2949) Prec@1 49.609 (47.488) Prec@5 74.609 (72.797)
Epoch: [90][4680/5005] Time 0.194 (0.209) Data 0.051 (0.048) Loss 2.1657 (2.2949) Prec@1 47.266 (47.486) Prec@5 75.391 (72.798)
Epoch: [90][4690/5005] Time 0.211 (0.209) Data 0.043 (0.048) Loss 2.3705 (2.2949) Prec@1 44.922 (47.485) Prec@5 71.484 (72.798)
Epoch: [90][4700/5005] Time 0.210 (0.209) Data 0.051 (0.048) Loss 2.0943 (2.2949) Prec@1 50.391 (47.486) Prec@5 77.344 (72.798)
Epoch: [90][4710/5005] Time 0.200 (0.209) Data 0.052 (0.048) Loss 2.2795 (2.2946) Prec@1 48.047 (47.488) Prec@5 71.875 (72.804)
Epoch: [90][4720/5005] Time 0.215 (0.209) Data 0.047 (0.048) Loss 2.0700 (2.2945) Prec@1 53.516 (47.490) Prec@5 76.562 (72.805)
Epoch: [90][4730/5005] Time 0.209 (0.209) Data 0.046 (0.048) Loss 2.3836 (2.2946) Prec@1 47.656 (47.488) Prec@5 70.703 (72.804)
Epoch: [90][4740/5005] Time 0.216 (0.209) Data 0.047 (0.048) Loss 2.1390 (2.2946) Prec@1 49.609 (47.490) Prec@5 76.562 (72.805)
Epoch: [90][4750/5005] Time 0.208 (0.209) Data 0.048 (0.048) Loss 2.1570 (2.2945) Prec@1 48.828 (47.491) Prec@5 74.609 (72.808)
Epoch: [90][4760/5005] Time 0.209 (0.209) Data 0.047 (0.048) Loss 2.5547 (2.2944) Prec@1 47.266 (47.493) Prec@5 69.141 (72.810)
Epoch: [90][4770/5005] Time 0.194 (0.209) Data 0.054 (0.048) Loss 2.2373 (2.2943) Prec@1 50.000 (47.494) Prec@5 74.219 (72.813)
Epoch: [90][4780/5005] Time 0.205 (0.209) Data 0.042 (0.048) Loss 2.3463 (2.2943) Prec@1 49.609 (47.494) Prec@5 71.484 (72.813)
Epoch: [90][4790/5005] Time 0.202 (0.209) Data 0.043 (0.048) Loss 2.5303 (2.2944) Prec@1 48.828 (47.497) Prec@5 67.969 (72.812)
Epoch: [90][4800/5005] Time 0.213 (0.209) Data 0.044 (0.048) Loss 2.4186 (2.2943) Prec@1 42.578 (47.496) Prec@5 70.312 (72.813)
Epoch: [90][4810/5005] Time 0.202 (0.209) Data 0.043 (0.048) Loss 2.3531 (2.2942) Prec@1 41.797 (47.496) Prec@5 68.359 (72.814)
Epoch: [90][4820/5005] Time 0.209 (0.209) Data 0.044 (0.048) Loss 2.5052 (2.2941) Prec@1 45.703 (47.501) Prec@5 67.188 (72.814)
Epoch: [90][4830/5005] Time 0.210 (0.209) Data 0.058 (0.048) Loss 2.3336 (2.2940) Prec@1 46.875 (47.502) Prec@5 72.656 (72.816)
Epoch: [90][4840/5005] Time 0.210 (0.209) Data 0.052 (0.048) Loss 2.2010 (2.2940) Prec@1 46.094 (47.500) Prec@5 74.609 (72.815)
Epoch: [90][4850/5005] Time 0.206 (0.209) Data 0.053 (0.048) Loss 2.3552 (2.2942) Prec@1 47.266 (47.498) Prec@5 68.750 (72.811)
Epoch: [90][4860/5005] Time 0.201 (0.209) Data 0.047 (0.048) Loss 2.2338 (2.2941) Prec@1 48.047 (47.499) Prec@5 73.438 (72.812)
Epoch: [90][4870/5005] Time 0.212 (0.209) Data 0.043 (0.048) Loss 2.2947 (2.2942) Prec@1 52.734 (47.500) Prec@5 72.266 (72.811)
Epoch: [90][4880/5005] Time 0.197 (0.209) Data 0.044 (0.048) Loss 2.1708 (2.2941) Prec@1 54.297 (47.504) Prec@5 73.047 (72.812)
Epoch: [90][4890/5005] Time 0.208 (0.209) Data 0.051 (0.048) Loss 2.4142 (2.2940) Prec@1 43.359 (47.504) Prec@5 72.656 (72.814)
Epoch: [90][4900/5005] Time 0.197 (0.209) Data 0.046 (0.048) Loss 2.1876 (2.2939) Prec@1 48.828 (47.507) Prec@5 75.000 (72.815)
Epoch: [90][4910/5005] Time 0.207 (0.209) Data 0.044 (0.048) Loss 2.3412 (2.2938) Prec@1 46.875 (47.506) Prec@5 70.703 (72.818)
Epoch: [90][4920/5005] Time 0.201 (0.209) Data 0.044 (0.048) Loss 2.1696 (2.2938) Prec@1 46.484 (47.507) Prec@5 73.438 (72.818)
Epoch: [90][4930/5005] Time 0.203 (0.209) Data 0.044 (0.048) Loss 2.4822 (2.2937) Prec@1 42.969 (47.510) Prec@5 68.359 (72.819)
Epoch: [90][4940/5005] Time 0.209 (0.209) Data 0.044 (0.048) Loss 2.3492 (2.2937) Prec@1 46.094 (47.509) Prec@5 71.875 (72.819)
Epoch: [90][4950/5005] Time 0.217 (0.209) Data 0.046 (0.048) Loss 2.0566 (2.2938) Prec@1 47.266 (47.506) Prec@5 75.781 (72.817)
Epoch: [90][4960/5005] Time 0.211 (0.209) Data 0.046 (0.048) Loss 2.3028 (2.2937) Prec@1 49.219 (47.507) Prec@5 75.000 (72.817)
Epoch: [90][4970/5005] Time 0.198 (0.209) Data 0.056 (0.048) Loss 2.4531 (2.2937) Prec@1 42.969 (47.507) Prec@5 71.094 (72.818)
Epoch: [90][4980/5005] Time 0.196 (0.209) Data 0.057 (0.048) Loss 2.1659 (2.2936) Prec@1 49.219 (47.509) Prec@5 78.516 (72.823)
Epoch: [90][4990/5005] Time 0.205 (0.209) Data 0.025 (0.048) Loss 2.3118 (2.2935) Prec@1 43.750 (47.508) Prec@5 73.047 (72.823)
Epoch: [90][5000/5005] Time 0.206 (0.209) Data 0.021 (0.048) Loss 2.3453 (2.2935) Prec@1 48.047 (47.509) Prec@5 71.875 (72.822)
Test: [0/196] Time 1.548 (1.548) Loss 2.3789 (2.3789) Prec@1 48.438 (48.438) Prec@5 72.656 (72.656)
Test: [10/196] Time 0.112 (0.292) Loss 2.4236 (2.5311) Prec@1 47.656 (44.531) Prec@5 71.484 (69.496)
Test: [20/196] Time 0.044 (0.229) Loss 2.4461 (2.5430) Prec@1 47.266 (43.862) Prec@5 73.047 (69.587)
Test: [30/196] Time 0.576 (0.217) Loss 2.4344 (2.5498) Prec@1 45.312 (43.763) Prec@5 70.312 (69.468)
Test: [40/196] Time 0.046 (0.208) Loss 2.2961 (2.5411) Prec@1 52.344 (44.160) Prec@5 75.000 (69.627)
Test: [50/196] Time 0.042 (0.204) Loss 2.6150 (2.5400) Prec@1 47.266 (44.294) Prec@5 70.312 (69.700)
Test: [60/196] Time 0.041 (0.194) Loss 2.4468 (2.5261) Prec@1 50.391 (44.621) Prec@5 73.047 (69.883)
Test: [70/196] Time 0.042 (0.191) Loss 2.4729 (2.5172) Prec@1 47.266 (44.746) Prec@5 67.969 (69.834)
Test: [80/196] Time 0.044 (0.187) Loss 2.3713 (2.5223) Prec@1 53.516 (44.739) Prec@5 75.391 (69.821)
Test: [90/196] Time 0.529 (0.188) Loss 2.6240 (2.5267) Prec@1 44.922 (44.694) Prec@5 68.750 (69.823)
Test: [100/196] Time 0.476 (0.187) Loss 2.5921 (2.5237) Prec@1 44.531 (44.763) Prec@5 68.750 (69.848)
Test: [110/196] Time 0.821 (0.190) Loss 2.7089 (2.5266) Prec@1 39.844 (44.749) Prec@5 64.453 (69.788)
Test: [120/196] Time 0.152 (0.182) Loss 2.3593 (2.5224) Prec@1 45.312 (44.848) Prec@5 73.438 (69.773)
Test: [130/196] Time 0.044 (0.182) Loss 2.1806 (2.5181) Prec@1 49.219 (44.934) Prec@5 74.609 (69.841)
Test: [140/196] Time 0.122 (0.180) Loss 2.3294 (2.5199) Prec@1 50.391 (44.925) Prec@5 72.266 (69.758)
Test: [150/196] Time 0.041 (0.182) Loss 2.1430 (2.5191) Prec@1 49.219 (44.873) Prec@5 78.516 (69.777)
Test: [160/196] Time 0.042 (0.182) Loss 2.5006 (2.5175) Prec@1 48.438 (44.854) Prec@5 69.141 (69.801)
Test: [170/196] Time 0.044 (0.181) Loss 2.4130 (2.5189) Prec@1 44.531 (44.785) Prec@5 73.438 (69.773)
Test: [180/196] Time 0.043 (0.182) Loss 2.7621 (2.5231) Prec@1 40.625 (44.734) Prec@5 65.625 (69.700)
Test: [190/196] Time 0.043 (0.181) Loss 2.7074 (2.5263) Prec@1 44.141 (44.679) Prec@5 63.672 (69.591)
* Prec@1 44.668 Prec@5 69.590
Learning rate: 1e-06
Epoch: [91][0/5005] Time 1.190 (1.190) Data 1.075 (1.075) Loss 2.2975 (2.2975) Prec@1 47.266 (47.266) Prec@5 77.344 (77.344)
Epoch: [91][10/5005] Time 0.205 (0.291) Data 0.043 (0.140) Loss 2.2922 (2.3461) Prec@1 46.484 (46.662) Prec@5 70.703 (71.911)
Epoch: [91][20/5005] Time 0.207 (0.250) Data 0.044 (0.095) Loss 2.4506 (2.3396) Prec@1 48.438 (46.670) Prec@5 70.703 (71.819)
Epoch: [91][30/5005] Time 0.197 (0.236) Data 0.043 (0.079) Loss 2.2545 (2.3030) Prec@1 47.266 (47.366) Prec@5 73.047 (72.442)
Epoch: [91][40/5005] Time 0.202 (0.227) Data 0.055 (0.071) Loss 2.3574 (2.3087) Prec@1 46.484 (47.094) Prec@5 73.047 (72.361)
Epoch: [91][50/5005] Time 0.205 (0.223) Data 0.044 (0.066) Loss 2.1504 (2.3076) Prec@1 48.828 (46.967) Prec@5 76.953 (72.472)
Epoch: [91][60/5005] Time 0.203 (0.220) Data 0.043 (0.062) Loss 2.2134 (2.3066) Prec@1 48.047 (46.881) Prec@5 74.219 (72.567)
Epoch: [91][70/5005] Time 0.201 (0.217) Data 0.048 (0.060) Loss 2.3677 (2.3158) Prec@1 44.922 (46.671) Prec@5 73.438 (72.453)
Epoch: [91][80/5005] Time 0.201 (0.215) Data 0.056 (0.059) Loss 2.1291 (2.3081) Prec@1 51.172 (46.832) Prec@5 77.734 (72.579)
Epoch: [91][90/5005] Time 0.206 (0.214) Data 0.045 (0.058) Loss 2.2497 (2.3058) Prec@1 50.000 (46.927) Prec@5 73.047 (72.566)
Epoch: [91][100/5005] Time 0.194 (0.212) Data 0.067 (0.057) Loss 2.1048 (2.3058) Prec@1 46.094 (46.929) Prec@5 76.953 (72.513)
Epoch: [91][110/5005] Time 0.197 (0.211) Data 0.044 (0.057) Loss 2.3805 (2.3106) Prec@1 47.266 (47.030) Prec@5 71.875 (72.459)
Epoch: [91][120/5005] Time 0.207 (0.211) Data 0.046 (0.056) Loss 2.4330 (2.3147) Prec@1 46.875 (47.078) Prec@5 69.531 (72.404)
Epoch: [91][130/5005] Time 0.194 (0.210) Data 0.043 (0.056) Loss 2.4518 (2.3152) Prec@1 45.312 (47.122) Prec@5 71.484 (72.370)
Epoch: [91][140/5005] Time 0.200 (0.209) Data 0.043 (0.055) Loss 2.4500 (2.3147) Prec@1 43.750 (47.077) Prec@5 68.359 (72.393)
Epoch: [91][150/5005] Time 0.208 (0.209) Data 0.046 (0.054) Loss 2.4840 (2.3158) Prec@1 46.484 (47.100) Prec@5 66.406 (72.335)
Epoch: [91][160/5005] Time 0.215 (0.209) Data 0.046 (0.054) Loss 2.2294 (2.3136) Prec@1 46.484 (47.137) Prec@5 76.172 (72.399)
Epoch: [91][170/5005] Time 0.202 (0.209) Data 0.044 (0.053) Loss 2.3793 (2.3127) Prec@1 49.609 (47.186) Prec@5 70.312 (72.396)
Epoch: [91][180/5005] Time 0.215 (0.209) Data 0.046 (0.053) Loss 2.4171 (2.3133) Prec@1 49.219 (47.143) Prec@5 68.750 (72.399)
Epoch: [91][190/5005] Time 0.218 (0.210) Data 0.043 (0.052) Loss 2.3261 (2.3183) Prec@1 47.266 (47.082) Prec@5 75.000 (72.333)
Epoch: [91][200/5005] Time 0.220 (0.210) Data 0.045 (0.052) Loss 2.5142 (2.3206) Prec@1 41.406 (47.009) Prec@5 69.531 (72.308)
Epoch: [91][210/5005] Time 0.219 (0.211) Data 0.044 (0.052) Loss 2.0215 (2.3182) Prec@1 51.562 (47.055) Prec@5 75.391 (72.329)
Epoch: [91][220/5005] Time 0.222 (0.211) Data 0.044 (0.051) Loss 2.3323 (2.3176) Prec@1 49.219 (47.096) Prec@5 71.094 (72.327)
Epoch: [91][230/5005] Time 0.212 (0.212) Data 0.046 (0.051) Loss 2.3117 (2.3165) Prec@1 46.875 (47.135) Prec@5 71.875 (72.348)
Epoch: [91][240/5005] Time 0.221 (0.212) Data 0.043 (0.051) Loss 2.2200 (2.3173) Prec@1 48.047 (47.104) Prec@5 71.875 (72.327)
Epoch: [91][250/5005] Time 0.218 (0.212) Data 0.044 (0.050) Loss 2.4546 (2.3148) Prec@1 42.188 (47.168) Prec@5 71.094 (72.381)
Epoch: [91][260/5005] Time 0.223 (0.213) Data 0.043 (0.050) Loss 2.0495 (2.3129) Prec@1 49.219 (47.191) Prec@5 77.344 (72.418)
Epoch: [91][270/5005] Time 0.218 (0.213) Data 0.044 (0.050) Loss 2.3499 (2.3117) Prec@1 46.875 (47.186) Prec@5 73.828 (72.439)
Epoch: [91][280/5005] Time 0.220 (0.213) Data 0.044 (0.050) Loss 2.6353 (2.3135) Prec@1 43.750 (47.182) Prec@5 67.188 (72.392)
Epoch: [91][290/5005] Time 0.221 (0.213) Data 0.043 (0.050) Loss 2.2933 (2.3150) Prec@1 47.656 (47.147) Prec@5 73.047 (72.361)
Epoch: [91][300/5005] Time 0.219 (0.213) Data 0.044 (0.049) Loss 2.1398 (2.3150) Prec@1 51.172 (47.151) Prec@5 72.656 (72.369)
Epoch: [91][310/5005] Time 0.219 (0.213) Data 0.045 (0.049) Loss 2.1724 (2.3118) Prec@1 45.703 (47.175) Prec@5 76.562 (72.421)
Epoch: [91][320/5005] Time 0.218 (0.214) Data 0.043 (0.049) Loss 2.5825 (2.3132) Prec@1 42.578 (47.207) Prec@5 71.875 (72.443)
Epoch: [91][330/5005] Time 0.212 (0.214) Data 0.042 (0.049) Loss 2.0781 (2.3117) Prec@1 51.562 (47.218) Prec@5 75.000 (72.476)
Epoch: [91][340/5005] Time 0.218 (0.214) Data 0.044 (0.049) Loss 2.4486 (2.3154) Prec@1 44.922 (47.148) Prec@5 73.047 (72.424)
Epoch: [91][350/5005] Time 0.224 (0.214) Data 0.042 (0.049) Loss 2.5491 (2.3144) Prec@1 44.922 (47.174) Prec@5 66.406 (72.445)
Epoch: [91][360/5005] Time 0.215 (0.214) Data 0.044 (0.049) Loss 2.4234 (2.3150) Prec@1 45.312 (47.141) Prec@5 72.266 (72.439)
Epoch: [91][370/5005] Time 0.217 (0.214) Data 0.042 (0.048) Loss 2.3009 (2.3137) Prec@1 42.188 (47.118) Prec@5 73.438 (72.454)
Epoch: [91][380/5005] Time 0.217 (0.214) Data 0.047 (0.048) Loss 2.4071 (2.3148) Prec@1 47.656 (47.102) Prec@5 71.094 (72.457)
Epoch: [91][390/5005] Time 0.218 (0.214) Data 0.044 (0.048) Loss 2.2910 (2.3150) Prec@1 48.828 (47.099) Prec@5 72.656 (72.451)
Epoch: [91][400/5005] Time 0.216 (0.214) Data 0.044 (0.048) Loss 2.2762 (2.3136) Prec@1 42.578 (47.115) Prec@5 74.219 (72.472)
Epoch: [91][410/5005] Time 0.211 (0.214) Data 0.044 (0.048) Loss 2.1985 (2.3130) Prec@1 51.172 (47.135) Prec@5 77.344 (72.522)
Epoch: [91][420/5005] Time 0.210 (0.215) Data 0.042 (0.048) Loss 2.2973 (2.3115) Prec@1 46.484 (47.193) Prec@5 75.391 (72.550)
Epoch: [91][430/5005] Time 0.214 (0.215) Data 0.043 (0.048) Loss 2.2216 (2.3108) Prec@1 49.609 (47.205) Prec@5 73.438 (72.548)
Epoch: [91][440/5005] Time 0.216 (0.215) Data 0.044 (0.048) Loss 2.1772 (2.3102) Prec@1 51.172 (47.202) Prec@5 72.656 (72.557)
Epoch: [91][450/5005] Time 0.215 (0.215) Data 0.044 (0.048) Loss 2.3000 (2.3112) Prec@1 42.578 (47.190) Prec@5 71.094 (72.545)
Epoch: [91][460/5005] Time 0.215 (0.215) Data 0.044 (0.048) Loss 2.4147 (2.3119) Prec@1 41.016 (47.161) Prec@5 71.484 (72.531)
Epoch: [91][470/5005] Time 0.216 (0.215) Data 0.045 (0.048) Loss 2.3018 (2.3136) Prec@1 45.703 (47.154) Prec@5 71.875 (72.490)
Epoch: [91][480/5005] Time 0.215 (0.215) Data 0.044 (0.047) Loss 2.4056 (2.3138) Prec@1 50.000 (47.161) Prec@5 69.531 (72.491)
Epoch: [91][490/5005] Time 0.212 (0.215) Data 0.043 (0.047) Loss 2.3209 (2.3136) Prec@1 52.344 (47.163) Prec@5 73.047 (72.490)
Epoch: [91][500/5005] Time 0.216 (0.215) Data 0.044 (0.047) Loss 2.4658 (2.3158) Prec@1 45.312 (47.136) Prec@5 70.703 (72.461)
Epoch: [91][510/5005] Time 0.220 (0.215) Data 0.043 (0.047) Loss 2.5519 (2.3162) Prec@1 37.891 (47.132) Prec@5 67.578 (72.462)
Epoch: [91][520/5005] Time 0.217 (0.215) Data 0.048 (0.047) Loss 2.3619 (2.3156) Prec@1 42.578 (47.140) Prec@5 71.875 (72.485)
Epoch: [91][530/5005] Time 0.222 (0.215) Data 0.047 (0.048) Loss 2.2469 (2.3156) Prec@1 50.391 (47.136) Prec@5 73.828 (72.486)
Epoch: [91][540/5005] Time 0.211 (0.215) Data 0.051 (0.048) Loss 2.3380 (2.3157) Prec@1 47.656 (47.131) Prec@5 73.047 (72.485)
Epoch: [91][550/5005] Time 0.214 (0.215) Data 0.043 (0.048) Loss 2.2773 (2.3153) Prec@1 47.656 (47.134) Prec@5 73.828 (72.489)
Epoch: [91][560/5005] Time 0.222 (0.215) Data 0.046 (0.048) Loss 2.3182 (2.3147) Prec@1 51.562 (47.167) Prec@5 73.828 (72.510)
Epoch: [91][570/5005] Time 0.217 (0.215) Data 0.044 (0.048) Loss 2.4421 (2.3156) Prec@1 45.312 (47.138) Prec@5 69.922 (72.480)
Epoch: [91][580/5005] Time 0.220 (0.215) Data 0.043 (0.047) Loss 2.3327 (2.3147) Prec@1 47.656 (47.154) Prec@5 70.703 (72.496)
Epoch: [91][590/5005] Time 0.213 (0.215) Data 0.043 (0.047) Loss 2.4721 (2.3146) Prec@1 42.188 (47.167) Prec@5 72.266 (72.494)
Epoch: [91][600/5005] Time 0.211 (0.215) Data 0.049 (0.047) Loss 2.2244 (2.3150) Prec@1 49.219 (47.164) Prec@5 75.781 (72.496)
Epoch: [91][610/5005] Time 0.216 (0.215) Data 0.042 (0.047) Loss 2.2765 (2.3153) Prec@1 48.438 (47.159) Prec@5 71.094 (72.475)
Epoch: [91][620/5005] Time 0.217 (0.215) Data 0.043 (0.047) Loss 2.4365 (2.3152) Prec@1 48.438 (47.173) Prec@5 70.703 (72.471)
Epoch: [91][630/5005] Time 0.209 (0.215) Data 0.049 (0.047) Loss 2.5530 (2.3153) Prec@1 43.750 (47.164) Prec@5 71.875 (72.479)
Epoch: [91][640/5005] Time 0.211 (0.215) Data 0.045 (0.047) Loss 2.2431 (2.3157) Prec@1 45.312 (47.130) Prec@5 71.875 (72.480)
Epoch: [91][650/5005] Time 0.206 (0.215) Data 0.047 (0.047) Loss 2.4307 (2.3167) Prec@1 42.969 (47.112) Prec@5 71.094 (72.461)
Epoch: [91][660/5005] Time 0.217 (0.215) Data 0.043 (0.047) Loss 2.5184 (2.3153) Prec@1 42.188 (47.133) Prec@5 69.922 (72.493)
Epoch: [91][670/5005] Time 0.212 (0.215) Data 0.051 (0.047) Loss 2.5217 (2.3157) Prec@1 44.141 (47.133) Prec@5 67.188 (72.486)
Epoch: [91][680/5005] Time 0.215 (0.215) Data 0.043 (0.047) Loss 2.3199 (2.3156) Prec@1 45.312 (47.127) Prec@5 70.703 (72.492)
Epoch: [91][690/5005] Time 0.211 (0.215) Data 0.047 (0.047) Loss 2.2474 (2.3149) Prec@1 48.828 (47.151) Prec@5 73.438 (72.506)
Epoch: [91][700/5005] Time 0.219 (0.215) Data 0.043 (0.047) Loss 2.3996 (2.3149) Prec@1 46.875 (47.155) Prec@5 69.141 (72.511)
Epoch: [91][710/5005] Time 0.214 (0.215) Data 0.046 (0.047) Loss 2.0176 (2.3144) Prec@1 53.906 (47.167) Prec@5 79.688 (72.525)
Epoch: [91][720/5005] Time 0.211 (0.215) Data 0.042 (0.047) Loss 2.2164 (2.3130) Prec@1 48.438 (47.194) Prec@5 73.828 (72.539)
Epoch: [91][730/5005] Time 0.213 (0.215) Data 0.042 (0.047) Loss 2.4144 (2.3134) Prec@1 48.047 (47.188) Prec@5 73.047 (72.523)
Epoch: [91][740/5005] Time 0.209 (0.215) Data 0.047 (0.047) Loss 2.3367 (2.3139) Prec@1 49.219 (47.180) Prec@5 70.703 (72.515)
Epoch: [91][750/5005] Time 0.212 (0.215) Data 0.064 (0.047) Loss 2.1141 (2.3135) Prec@1 48.828 (47.184) Prec@5 75.781 (72.528)
Epoch: [91][760/5005] Time 0.208 (0.215) Data 0.065 (0.047) Loss 2.3708 (2.3136) Prec@1 46.875 (47.191) Prec@5 73.047 (72.528)
Epoch: [91][770/5005] Time 0.196 (0.215) Data 0.070 (0.047) Loss 2.3153 (2.3123) Prec@1 45.703 (47.220) Prec@5 71.875 (72.543)
Epoch: [91][780/5005] Time 0.220 (0.215) Data 0.043 (0.047) Loss 2.3916 (2.3119) Prec@1 45.703 (47.225) Prec@5 68.750 (72.536)
Epoch: [91][790/5005] Time 0.208 (0.215) Data 0.045 (0.047) Loss 2.2308 (2.3117) Prec@1 48.047 (47.228) Prec@5 73.047 (72.534)
Epoch: [91][800/5005] Time 0.218 (0.215) Data 0.042 (0.047) Loss 2.2594 (2.3104) Prec@1 46.484 (47.246) Prec@5 76.953 (72.560)
Epoch: [91][810/5005] Time 0.213 (0.215) Data 0.046 (0.047) Loss 2.4233 (2.3106) Prec@1 44.922 (47.241) Prec@5 69.531 (72.558)
Epoch: [91][820/5005] Time 0.207 (0.215) Data 0.053 (0.047) Loss 2.4805 (2.3110) Prec@1 45.703 (47.244) Prec@5 70.703 (72.541)
Epoch: [91][830/5005] Time 0.214 (0.215) Data 0.049 (0.047) Loss 2.2353 (2.3112) Prec@1 44.922 (47.232) Prec@5 76.562 (72.548)
Epoch: [91][840/5005] Time 0.204 (0.215) Data 0.045 (0.047) Loss 2.2342 (2.3116) Prec@1 49.219 (47.232) Prec@5 73.047 (72.540)
Epoch: [91][850/5005] Time 0.206 (0.215) Data 0.063 (0.047) Loss 2.5454 (2.3110) Prec@1 45.312 (47.248) Prec@5 70.312 (72.553)
Epoch: [91][860/5005] Time 0.209 (0.215) Data 0.045 (0.047) Loss 2.2980 (2.3112) Prec@1 46.094 (47.241) Prec@5 74.219 (72.548)
Epoch: [91][870/5005] Time 0.212 (0.215) Data 0.048 (0.047) Loss 2.2881 (2.3102) Prec@1 44.531 (47.259) Prec@5 73.047 (72.559)
Epoch: [91][880/5005] Time 0.212 (0.215) Data 0.049 (0.047) Loss 2.1532 (2.3101) Prec@1 48.047 (47.271) Prec@5 71.484 (72.556)
Epoch: [91][890/5005] Time 0.209 (0.215) Data 0.043 (0.047) Loss 2.6083 (2.3099) Prec@1 40.234 (47.264) Prec@5 66.797 (72.554)
Epoch: [91][900/5005] Time 0.215 (0.215) Data 0.043 (0.047) Loss 2.2625 (2.3097) Prec@1 46.484 (47.257) Prec@5 72.266 (72.570)
Epoch: [91][910/5005] Time 0.212 (0.215) Data 0.042 (0.047) Loss 2.3368 (2.3095) Prec@1 43.359 (47.251) Prec@5 75.781 (72.564)
Epoch: [91][920/5005] Time 0.211 (0.214) Data 0.043 (0.047) Loss 2.2665 (2.3090) Prec@1 46.875 (47.258) Prec@5 72.656 (72.576)
Epoch: [91][930/5005] Time 0.208 (0.214) Data 0.043 (0.047) Loss 2.3850 (2.3089) Prec@1 48.438 (47.271) Prec@5 67.188 (72.574)
Epoch: [91][940/5005] Time 0.213 (0.214) Data 0.043 (0.047) Loss 2.2317 (2.3090) Prec@1 46.484 (47.273) Prec@5 73.047 (72.575)
Epoch: [91][950/5005] Time 0.216 (0.214) Data 0.043 (0.047) Loss 2.4126 (2.3097) Prec@1 45.703 (47.262) Prec@5 71.484 (72.561)
Epoch: [91][960/5005] Time 0.212 (0.214) Data 0.044 (0.047) Loss 2.4801 (2.3101) Prec@1 48.828 (47.243) Prec@5 71.484 (72.570)
Epoch: [91][970/5005] Time 0.206 (0.214) Data 0.043 (0.047) Loss 2.0879 (2.3098) Prec@1 49.219 (47.243) Prec@5 78.516 (72.573)
Epoch: [91][980/5005] Time 0.217 (0.214) Data 0.056 (0.047) Loss 2.3165 (2.3093) Prec@1 50.000 (47.255) Prec@5 69.922 (72.582)
Epoch: [91][990/5005] Time 0.212 (0.214) Data 0.047 (0.047) Loss 2.3913 (2.3095) Prec@1 45.312 (47.245) Prec@5 72.266 (72.577)
Epoch: [91][1000/5005] Time 0.211 (0.214) Data 0.042 (0.047) Loss 2.3202 (2.3093) Prec@1 47.266 (47.257) Prec@5 72.266 (72.583)
Epoch: [91][1010/5005] Time 0.211 (0.214) Data 0.043 (0.047) Loss 2.3689 (2.3087) Prec@1 45.703 (47.267) Prec@5 73.047 (72.596)
Epoch: [91][1020/5005] Time 0.220 (0.214) Data 0.043 (0.047) Loss 2.2013 (2.3093) Prec@1 50.781 (47.260) Prec@5 73.047 (72.583)
Epoch: [91][1030/5005] Time 1.637 (0.216) Data 0.042 (0.047) Loss 2.1809 (2.3090) Prec@1 48.047 (47.262) Prec@5 76.172 (72.588)
Epoch: [91][1040/5005] Time 0.206 (0.215) Data 0.039 (0.047) Loss 2.3361 (2.3093) Prec@1 45.703 (47.253) Prec@5 75.781 (72.584)
Epoch: [91][1050/5005] Time 0.210 (0.215) Data 0.043 (0.047) Loss 2.3127 (2.3090) Prec@1 49.219 (47.260) Prec@5 71.484 (72.594)
Epoch: [91][1060/5005] Time 0.211 (0.215) Data 0.042 (0.047) Loss 2.4183 (2.3092) Prec@1 46.094 (47.253) Prec@5 72.656 (72.598)
Epoch: [91][1070/5005] Time 0.202 (0.215) Data 0.055 (0.047) Loss 2.2783 (2.3092) Prec@1 50.781 (47.252) Prec@5 73.438 (72.603)
Epoch: [91][1080/5005] Time 0.201 (0.215) Data 0.047 (0.047) Loss 2.3588 (2.3093) Prec@1 45.703 (47.250) Prec@5 73.438 (72.606)
Epoch: [91][1090/5005] Time 0.209 (0.215) Data 0.047 (0.047) Loss 2.2418 (2.3091) Prec@1 47.656 (47.252) Prec@5 72.266 (72.607)
Epoch: [91][1100/5005] Time 0.206 (0.215) Data 0.042 (0.047) Loss 2.2624 (2.3089) Prec@1 49.609 (47.251) Prec@5 70.312 (72.609)
Epoch: [91][1110/5005] Time 0.203 (0.215) Data 0.042 (0.047) Loss 2.2545 (2.3090) Prec@1 47.656 (47.239) Prec@5 72.656 (72.604)
Epoch: [91][1120/5005] Time 0.209 (0.215) Data 0.046 (0.047) Loss 2.2164 (2.3085) Prec@1 50.391 (47.247) Prec@5 73.828 (72.611)
Epoch: [91][1130/5005] Time 0.215 (0.215) Data 0.042 (0.047) Loss 2.4542 (2.3089) Prec@1 45.312 (47.226) Prec@5 74.219 (72.609)
Epoch: [91][1140/5005] Time 0.219 (0.215) Data 0.044 (0.047) Loss 2.2586 (2.3085) Prec@1 45.703 (47.228) Prec@5 76.562 (72.613)
Epoch: [91][1150/5005] Time 0.216 (0.215) Data 0.043 (0.047) Loss 2.3188 (2.3082) Prec@1 43.359 (47.233) Prec@5 73.047 (72.627)
Epoch: [91][1160/5005] Time 0.207 (0.215) Data 0.058 (0.047) Loss 2.4234 (2.3081) Prec@1 46.094 (47.234) Prec@5 69.531 (72.625)
Epoch: [91][1170/5005] Time 0.213 (0.215) Data 0.043 (0.047) Loss 2.2774 (2.3079) Prec@1 47.266 (47.250) Prec@5 74.219 (72.632)
Epoch: [91][1180/5005] Time 0.212 (0.215) Data 0.043 (0.047) Loss 2.3851 (2.3078) Prec@1 42.188 (47.241) Prec@5 70.703 (72.634)
Epoch: [91][1190/5005] Time 0.213 (0.215) Data 0.042 (0.047) Loss 2.1361 (2.3075) Prec@1 49.609 (47.252) Prec@5 75.391 (72.641)
Epoch: [91][1200/5005] Time 0.211 (0.215) Data 0.043 (0.047) Loss 2.5145 (2.3077) Prec@1 39.844 (47.243) Prec@5 70.703 (72.635)
Epoch: [91][1210/5005] Time 0.208 (0.215) Data 0.056 (0.047) Loss 2.3086 (2.3085) Prec@1 47.266 (47.234) Prec@5 74.219 (72.626)
Epoch: [91][1220/5005] Time 0.203 (0.215) Data 0.042 (0.047) Loss 2.3431 (2.3088) Prec@1 47.266 (47.231) Prec@5 70.312 (72.625)
Epoch: [91][1230/5005] Time 0.211 (0.215) Data 0.043 (0.047) Loss 2.3465 (2.3089) Prec@1 47.266 (47.217) Prec@5 73.438 (72.627)
Epoch: [91][1240/5005] Time 0.212 (0.215) Data 0.043 (0.047) Loss 2.3687 (2.3089) Prec@1 45.703 (47.209) Prec@5 73.438 (72.619)
Epoch: [91][1250/5005] Time 0.199 (0.215) Data 0.049 (0.047) Loss 2.4973 (2.3092) Prec@1 44.531 (47.213) Prec@5 69.531 (72.618)
Epoch: [91][1260/5005] Time 0.202 (0.215) Data 0.060 (0.047) Loss 2.0816 (2.3087) Prec@1 52.344 (47.224) Prec@5 74.609 (72.627)
Epoch: [91][1270/5005] Time 0.200 (0.215) Data 0.059 (0.047) Loss 2.4343 (2.3092) Prec@1 41.016 (47.214) Prec@5 71.875 (72.617)
Epoch: [91][1280/5005] Time 0.211 (0.215) Data 0.056 (0.047) Loss 2.3113 (2.3096) Prec@1 51.172 (47.211) Prec@5 70.703 (72.610)
Epoch: [91][1290/5005] Time 0.220 (0.215) Data 0.044 (0.047) Loss 2.0997 (2.3096) Prec@1 52.734 (47.218) Prec@5 73.047 (72.604)
Epoch: [91][1300/5005] Time 0.204 (0.215) Data 0.057 (0.047) Loss 2.1874 (2.3097) Prec@1 51.562 (47.218) Prec@5 73.828 (72.600)
Epoch: [91][1310/5005] Time 0.215 (0.215) Data 0.049 (0.047) Loss 2.3573 (2.3096) Prec@1 45.703 (47.216) Prec@5 73.828 (72.603)
Epoch: [91][1320/5005] Time 0.212 (0.214) Data 0.043 (0.047) Loss 2.4550 (2.3096) Prec@1 44.141 (47.217) Prec@5 69.922 (72.605)
Epoch: [91][1330/5005] Time 0.217 (0.214) Data 0.049 (0.047) Loss 2.4427 (2.3097) Prec@1 44.141 (47.218) Prec@5 70.703 (72.602)
Epoch: [91][1340/5005] Time 0.215 (0.214) Data 0.044 (0.047) Loss 2.2485 (2.3098) Prec@1 46.484 (47.222) Prec@5 72.266 (72.601)
Epoch: [91][1350/5005] Time 0.209 (0.214) Data 0.059 (0.047) Loss 2.6852 (2.3102) Prec@1 42.578 (47.205) Prec@5 67.578 (72.595)
Epoch: [91][1360/5005] Time 0.209 (0.214) Data 0.042 (0.047) Loss 2.1429 (2.3100) Prec@1 50.000 (47.209) Prec@5 77.734 (72.592)
Epoch: [91][1370/5005] Time 0.211 (0.214) Data 0.054 (0.047) Loss 2.3756 (2.3097) Prec@1 46.484 (47.215) Prec@5 72.656 (72.599)
Epoch: [91][1380/5005] Time 0.211 (0.214) Data 0.047 (0.047) Loss 2.3833 (2.3099) Prec@1 48.828 (47.221) Prec@5 73.047 (72.599)
Epoch: [91][1390/5005] Time 0.214 (0.214) Data 0.041 (0.047) Loss 2.2635 (2.3099) Prec@1 50.000 (47.229) Prec@5 74.609 (72.606)
Epoch: [91][1400/5005] Time 0.218 (0.214) Data 0.045 (0.047) Loss 2.2436 (2.3092) Prec@1 46.875 (47.230) Prec@5 71.094 (72.614)
Epoch: [91][1410/5005] Time 0.216 (0.214) Data 0.044 (0.047) Loss 2.1727 (2.3089) Prec@1 49.609 (47.235) Prec@5 76.172 (72.626)
Epoch: [91][1420/5005] Time 0.200 (0.214) Data 0.051 (0.047) Loss 2.5536 (2.3089) Prec@1 45.312 (47.232) Prec@5 69.141 (72.626)
Epoch: [91][1430/5005] Time 0.194 (0.214) Data 0.042 (0.047) Loss 2.0293 (2.3083) Prec@1 55.078 (47.246) Prec@5 75.000 (72.635)
Epoch: [91][1440/5005] Time 0.213 (0.214) Data 0.041 (0.047) Loss 2.0960 (2.3083) Prec@1 49.219 (47.237) Prec@5 78.906 (72.637)
Epoch: [91][1450/5005] Time 0.208 (0.214) Data 0.042 (0.047) Loss 2.2534 (2.3081) Prec@1 50.781 (47.243) Prec@5 73.828 (72.643)
Epoch: [91][1460/5005] Time 0.212 (0.214) Data 0.052 (0.047) Loss 2.3067 (2.3079) Prec@1 44.141 (47.254) Prec@5 73.047 (72.643)
Epoch: [91][1470/5005] Time 0.217 (0.214) Data 0.043 (0.047) Loss 2.3448 (2.3080) Prec@1 48.438 (47.262) Prec@5 71.875 (72.639)
Epoch: [91][1480/5005] Time 0.211 (0.214) Data 0.058 (0.047) Loss 2.2741 (2.3082) Prec@1 49.219 (47.263) Prec@5 72.656 (72.634)
Epoch: [91][1490/5005] Time 0.211 (0.214) Data 0.057 (0.047) Loss 2.3975 (2.3082) Prec@1 46.094 (47.260) Prec@5 69.922 (72.633)
Epoch: [91][1500/5005] Time 0.224 (0.214) Data 0.044 (0.047) Loss 2.3121 (2.3077) Prec@1 47.266 (47.254) Prec@5 72.656 (72.640)
Epoch: [91][1510/5005] Time 0.205 (0.214) Data 0.046 (0.047) Loss 2.1725 (2.3073) Prec@1 50.391 (47.265) Prec@5 72.656 (72.649)
Epoch: [91][1520/5005] Time 0.198 (0.214) Data 0.046 (0.047) Loss 2.4082 (2.3071) Prec@1 47.266 (47.269) Prec@5 66.797 (72.648)
Epoch: [91][1530/5005] Time 0.211 (0.214) Data 0.044 (0.047) Loss 2.5153 (2.3072) Prec@1 46.484 (47.270) Prec@5 71.484 (72.652)
Epoch: [91][1540/5005] Time 0.212 (0.214) Data 0.046 (0.047) Loss 2.4309 (2.3075) Prec@1 43.359 (47.269) Prec@5 70.312 (72.646)
Epoch: [91][1550/5005] Time 0.201 (0.214) Data 0.051 (0.047) Loss 2.1592 (2.3069) Prec@1 49.219 (47.280) Prec@5 76.562 (72.655)
Epoch: [91][1560/5005] Time 0.216 (0.214) Data 0.046 (0.047) Loss 2.1553 (2.3069) Prec@1 51.172 (47.285) Prec@5 74.609 (72.654)
Epoch: [91][1570/5005] Time 0.210 (0.214) Data 0.053 (0.047) Loss 2.1600 (2.3064) Prec@1 45.312 (47.292) Prec@5 77.734 (72.661)
Epoch: [91][1580/5005] Time 0.204 (0.214) Data 0.049 (0.047) Loss 2.2586 (2.3067) Prec@1 45.312 (47.286) Prec@5 73.828 (72.656)
Epoch: [91][1590/5005] Time 0.211 (0.214) Data 0.048 (0.047) Loss 2.2671 (2.3067) Prec@1 45.703 (47.281) Prec@5 73.828 (72.662)
Epoch: [91][1600/5005] Time 0.200 (0.214) Data 0.059 (0.047) Loss 2.3728 (2.3068) Prec@1 46.875 (47.281) Prec@5 69.922 (72.656)
Epoch: [91][1610/5005] Time 0.220 (0.214) Data 0.046 (0.047) Loss 2.3006 (2.3067) Prec@1 46.484 (47.279) Prec@5 72.266 (72.655)
Epoch: [91][1620/5005] Time 0.205 (0.214) Data 0.045 (0.047) Loss 2.4386 (2.3064) Prec@1 44.922 (47.279) Prec@5 73.438 (72.659)
Epoch: [91][1630/5005] Time 0.207 (0.213) Data 0.057 (0.047) Loss 2.1340 (2.3063) Prec@1 52.734 (47.286) Prec@5 75.781 (72.656)
Epoch: [91][1640/5005] Time 0.214 (0.213) Data 0.053 (0.047) Loss 2.3056 (2.3068) Prec@1 49.219 (47.281) Prec@5 75.391 (72.654)
Epoch: [91][1650/5005] Time 0.207 (0.213) Data 0.045 (0.047) Loss 2.4472 (2.3068) Prec@1 46.484 (47.276) Prec@5 70.312 (72.650)
Epoch: [91][1660/5005] Time 0.212 (0.213) Data 0.042 (0.047) Loss 2.1958 (2.3063) Prec@1 50.391 (47.289) Prec@5 75.000 (72.658)
Epoch: [91][1670/5005] Time 0.205 (0.213) Data 0.043 (0.047) Loss 2.1089 (2.3063) Prec@1 50.000 (47.292) Prec@5 76.172 (72.660)
Epoch: [91][1680/5005] Time 0.217 (0.213) Data 0.043 (0.047) Loss 2.4900 (2.3064) Prec@1 48.828 (47.297) Prec@5 71.094 (72.656)
Epoch: [91][1690/5005] Time 0.208 (0.213) Data 0.043 (0.047) Loss 2.1699 (2.3064) Prec@1 46.875 (47.295) Prec@5 75.391 (72.662)
Epoch: [91][1700/5005] Time 0.206 (0.213) Data 0.048 (0.047) Loss 2.1645 (2.3061) Prec@1 52.734 (47.305) Prec@5 77.344 (72.665)
Epoch: [91][1710/5005] Time 0.212 (0.213) Data 0.048 (0.047) Loss 2.1983 (2.3057) Prec@1 50.391 (47.312) Prec@5 75.391 (72.676)
Epoch: [91][1720/5005] Time 0.216 (0.213) Data 0.043 (0.047) Loss 2.4154 (2.3057) Prec@1 43.750 (47.308) Prec@5 69.141 (72.679)
Epoch: [91][1730/5005] Time 0.210 (0.213) Data 0.039 (0.047) Loss 2.2336 (2.3055) Prec@1 46.094 (47.311) Prec@5 74.219 (72.684)
Epoch: [91][1740/5005] Time 0.213 (0.213) Data 0.043 (0.047) Loss 2.4087 (2.3053) Prec@1 44.922 (47.315) Prec@5 70.312 (72.688)
Epoch: [91][1750/5005] Time 0.214 (0.213) Data 0.043 (0.047) Loss 2.2692 (2.3052) Prec@1 46.484 (47.317) Prec@5 71.484 (72.687)
Epoch: [91][1760/5005] Time 0.214 (0.213) Data 0.042 (0.047) Loss 2.0885 (2.3050) Prec@1 53.125 (47.320) Prec@5 79.297 (72.695)
Epoch: [91][1770/5005] Time 0.212 (0.213) Data 0.043 (0.047) Loss 2.3446 (2.3048) Prec@1 42.188 (47.323) Prec@5 72.266 (72.696)
Epoch: [91][1780/5005] Time 0.207 (0.213) Data 0.042 (0.047) Loss 2.0967 (2.3046) Prec@1 50.000 (47.322) Prec@5 78.125 (72.700)
Epoch: [91][1790/5005] Time 0.212 (0.213) Data 0.044 (0.047) Loss 2.2134 (2.3043) Prec@1 51.562 (47.325) Prec@5 73.828 (72.705)
Epoch: [91][1800/5005] Time 0.202 (0.213) Data 0.060 (0.047) Loss 2.2280 (2.3039) Prec@1 48.828 (47.329) Prec@5 72.656 (72.709)
Epoch: [91][1810/5005] Time 0.210 (0.213) Data 0.048 (0.047) Loss 2.1318 (2.3036) Prec@1 48.047 (47.328) Prec@5 75.781 (72.717)
Epoch: [91][1820/5005] Time 0.202 (0.213) Data 0.050 (0.047) Loss 2.3293 (2.3036) Prec@1 45.312 (47.329) Prec@5 73.438 (72.719)
Epoch: [91][1830/5005] Time 0.211 (0.213) Data 0.046 (0.047) Loss 2.1255 (2.3031) Prec@1 53.125 (47.338) Prec@5 76.953 (72.726)
Epoch: [91][1840/5005] Time 0.201 (0.213) Data 0.053 (0.047) Loss 2.3540 (2.3028) Prec@1 42.578 (47.340) Prec@5 71.094 (72.732)
Epoch: [91][1850/5005] Time 0.201 (0.213) Data 0.055 (0.047) Loss 2.3148 (2.3025) Prec@1 46.094 (47.346) Prec@5 73.828 (72.733)
Epoch: [91][1860/5005] Time 0.208 (0.213) Data 0.045 (0.047) Loss 2.2572 (2.3026) Prec@1 50.781 (47.346) Prec@5 73.438 (72.731)
Epoch: [91][1870/5005] Time 0.206 (0.213) Data 0.044 (0.047) Loss 2.5854 (2.3030) Prec@1 41.016 (47.339) Prec@5 71.094 (72.730)
Epoch: [91][1880/5005] Time 0.207 (0.213) Data 0.044 (0.047) Loss 2.4601 (2.3031) Prec@1 44.141 (47.339) Prec@5 69.141 (72.729)
Epoch: [91][1890/5005] Time 0.208 (0.213) Data 0.043 (0.047) Loss 2.2124 (2.3028) Prec@1 50.781 (47.342) Prec@5 74.609 (72.730)
Epoch: [91][1900/5005] Time 0.208 (0.213) Data 0.043 (0.047) Loss 2.4189 (2.3034) Prec@1 46.875 (47.333) Prec@5 73.047 (72.729)
Epoch: [91][1910/5005] Time 0.208 (0.213) Data 0.042 (0.047) Loss 2.2549 (2.3032) Prec@1 48.828 (47.335) Prec@5 73.828 (72.731)
Epoch: [91][1920/5005] Time 0.206 (0.213) Data 0.042 (0.047) Loss 2.1178 (2.3029) Prec@1 48.438 (47.332) Prec@5 79.297 (72.742)
Epoch: [91][1930/5005] Time 0.207 (0.213) Data 0.044 (0.047) Loss 2.3093 (2.3028) Prec@1 42.969 (47.336) Prec@5 71.094 (72.745)
Epoch: [91][1940/5005] Time 0.214 (0.213) Data 0.042 (0.047) Loss 2.0594 (2.3023) Prec@1 52.734 (47.345) Prec@5 75.781 (72.750)
Epoch: [91][1950/5005] Time 0.213 (0.213) Data 0.044 (0.047) Loss 2.3459 (2.3021) Prec@1 45.312 (47.351) Prec@5 70.703 (72.755)
Epoch: [91][1960/5005] Time 0.210 (0.213) Data 0.043 (0.047) Loss 2.2757 (2.3020) Prec@1 51.562 (47.352) Prec@5 72.266 (72.759)
Epoch: [91][1970/5005] Time 0.217 (0.213) Data 0.044 (0.047) Loss 2.2687 (2.3021) Prec@1 45.703 (47.343) Prec@5 73.047 (72.757)
Epoch: [91][1980/5005] Time 0.205 (0.213) Data 0.059 (0.047) Loss 2.1571 (2.3021) Prec@1 50.781 (47.345) Prec@5 72.266 (72.757)
Epoch: [91][1990/5005] Time 0.205 (0.213) Data 0.048 (0.047) Loss 2.1327 (2.3017) Prec@1 51.172 (47.352) Prec@5 76.172 (72.762)
Epoch: [91][2000/5005] Time 0.200 (0.213) Data 0.044 (0.047) Loss 2.1366 (2.3019) Prec@1 50.781 (47.351) Prec@5 76.172 (72.760)
Epoch: [91][2010/5005] Time 0.207 (0.213) Data 0.062 (0.047) Loss 2.2836 (2.3020) Prec@1 46.094 (47.350) Prec@5 71.875 (72.756)
Epoch: [91][2020/5005] Time 0.208 (0.213) Data 0.047 (0.047) Loss 2.2620 (2.3021) Prec@1 50.391 (47.348) Prec@5 75.000 (72.755)
Epoch: [91][2030/5005] Time 0.216 (0.213) Data 0.042 (0.047) Loss 2.3065 (2.3019) Prec@1 45.703 (47.354) Prec@5 72.266 (72.752)
Epoch: [91][2040/5005] Time 0.205 (0.213) Data 0.046 (0.047) Loss 2.0506 (2.3018) Prec@1 51.953 (47.355) Prec@5 75.391 (72.755)
Epoch: [91][2050/5005] Time 0.212 (0.213) Data 0.046 (0.047) Loss 2.2837 (2.3015) Prec@1 49.219 (47.361) Prec@5 73.047 (72.759)
Epoch: [91][2060/5005] Time 0.205 (0.212) Data 0.046 (0.047) Loss 2.2709 (2.3015) Prec@1 47.656 (47.360) Prec@5 71.875 (72.757)
Epoch: [91][2070/5005] Time 0.217 (0.212) Data 0.045 (0.047) Loss 2.6215 (2.3017) Prec@1 42.578 (47.362) Prec@5 70.312 (72.755)
Epoch: [91][2080/5005] Time 0.205 (0.212) Data 0.041 (0.047) Loss 2.3553 (2.3016) Prec@1 46.484 (47.366) Prec@5 75.781 (72.756)
Epoch: [91][2090/5005] Time 0.204 (0.212) Data 0.047 (0.047) Loss 2.1073 (2.3011) Prec@1 51.172 (47.375) Prec@5 74.609 (72.761)
Epoch: [91][2100/5005] Time 0.205 (0.212) Data 0.046 (0.047) Loss 2.4302 (2.3010) Prec@1 41.016 (47.372) Prec@5 71.875 (72.765)
Epoch: [91][2110/5005] Time 0.211 (0.212) Data 0.047 (0.047) Loss 2.1069 (2.3011) Prec@1 51.953 (47.371) Prec@5 78.125 (72.761)
Epoch: [91][2120/5005] Time 0.206 (0.212) Data 0.051 (0.047) Loss 2.4199 (2.3010) Prec@1 48.438 (47.374) Prec@5 68.750 (72.762)
Epoch: [91][2130/5005] Time 0.208 (0.212) Data 0.043 (0.047) Loss 2.4260 (2.3006) Prec@1 43.750 (47.377) Prec@5 73.828 (72.772)
Epoch: [91][2140/5005] Time 0.209 (0.212) Data 0.044 (0.047) Loss 2.1344 (2.3007) Prec@1 50.000 (47.375) Prec@5 76.953 (72.769)
Epoch: [91][2150/5005] Time 0.199 (0.212) Data 0.046 (0.047) Loss 2.1490 (2.3008) Prec@1 50.391 (47.372) Prec@5 75.781 (72.765)
Epoch: [91][2160/5005] Time 0.203 (0.212) Data 0.048 (0.047) Loss 2.3283 (2.3007) Prec@1 45.312 (47.372) Prec@5 71.875 (72.767)
Epoch: [91][2170/5005] Time 0.211 (0.212) Data 0.043 (0.047) Loss 2.1699 (2.3004) Prec@1 47.656 (47.374) Prec@5 75.781 (72.776)
Epoch: [91][2180/5005] Time 0.203 (0.212) Data 0.045 (0.047) Loss 2.3557 (2.3005) Prec@1 46.875 (47.368) Prec@5 69.141 (72.776)
Epoch: [91][2190/5005] Time 0.209 (0.212) Data 0.043 (0.047) Loss 2.6519 (2.3006) Prec@1 41.406 (47.368) Prec@5 67.578 (72.775)
Epoch: [91][2200/5005] Time 0.213 (0.212) Data 0.046 (0.047) Loss 2.3064 (2.3008) Prec@1 47.266 (47.362) Prec@5 73.047 (72.773)
Epoch: [91][2210/5005] Time 0.203 (0.212) Data 0.049 (0.047) Loss 2.3425 (2.3013) Prec@1 46.094 (47.357) Prec@5 70.703 (72.767)
Epoch: [91][2220/5005] Time 0.208 (0.212) Data 0.041 (0.047) Loss 2.3536 (2.3011) Prec@1 48.438 (47.359) Prec@5 69.531 (72.765)
Epoch: [91][2230/5005] Time 0.201 (0.212) Data 0.041 (0.047) Loss 2.2647 (2.3011) Prec@1 46.875 (47.359) Prec@5 72.656 (72.765)
Epoch: [91][2240/5005] Time 0.205 (0.212) Data 0.047 (0.047) Loss 2.3539 (2.3011) Prec@1 48.438 (47.359) Prec@5 71.875 (72.767)
Epoch: [91][2250/5005] Time 0.208 (0.212) Data 0.042 (0.047) Loss 2.1594 (2.3011) Prec@1 46.484 (47.354) Prec@5 78.125 (72.767)
Epoch: [91][2260/5005] Time 0.208 (0.212) Data 0.057 (0.047) Loss 2.2049 (2.3008) Prec@1 48.047 (47.356) Prec@5 74.609 (72.775)
Epoch: [91][2270/5005] Time 0.212 (0.212) Data 0.042 (0.047) Loss 2.4147 (2.3006) Prec@1 42.188 (47.362) Prec@5 69.922 (72.779)
Epoch: [91][2280/5005] Time 0.204 (0.212) Data 0.064 (0.047) Loss 2.4065 (2.3007) Prec@1 46.094 (47.362) Prec@5 71.094 (72.779)
Epoch: [91][2290/5005] Time 0.214 (0.212) Data 0.060 (0.047) Loss 2.1956 (2.3006) Prec@1 47.656 (47.361) Prec@5 75.781 (72.782)
Epoch: [91][2300/5005] Time 0.210 (0.212) Data 0.043 (0.047) Loss 2.2679 (2.3007) Prec@1 46.875 (47.358) Prec@5 69.922 (72.778)
Epoch: [91][2310/5005] Time 0.207 (0.212) Data 0.045 (0.047) Loss 2.1648 (2.3006) Prec@1 52.734 (47.365) Prec@5 72.656 (72.777)
Epoch: [91][2320/5005] Time 0.206 (0.212) Data 0.041 (0.047) Loss 2.2844 (2.3005) Prec@1 49.219 (47.364) Prec@5 73.828 (72.781)
Epoch: [91][2330/5005] Time 0.199 (0.212) Data 0.044 (0.047) Loss 2.1484 (2.3002) Prec@1 48.438 (47.371) Prec@5 75.391 (72.786)
Epoch: [91][2340/5005] Time 0.211 (0.212) Data 0.050 (0.047) Loss 2.2952 (2.3001) Prec@1 45.312 (47.371) Prec@5 73.438 (72.789)
Epoch: [91][2350/5005] Time 0.213 (0.212) Data 0.046 (0.047) Loss 2.2097 (2.3000) Prec@1 48.828 (47.372) Prec@5 71.875 (72.789)
Epoch: [91][2360/5005] Time 0.210 (0.212) Data 0.047 (0.047) Loss 2.1310 (2.3000) Prec@1 50.781 (47.372) Prec@5 72.656 (72.788)
Epoch: [91][2370/5005] Time 0.212 (0.212) Data 0.046 (0.047) Loss 2.3687 (2.3001) Prec@1 46.484 (47.367) Prec@5 71.484 (72.788)
Epoch: [91][2380/5005] Time 0.208 (0.212) Data 0.049 (0.047) Loss 2.2787 (2.3000) Prec@1 46.484 (47.369) Prec@5 73.828 (72.789)
Epoch: [91][2390/5005] Time 0.200 (0.212) Data 0.044 (0.047) Loss 2.3709 (2.2998) Prec@1 46.094 (47.377) Prec@5 75.000 (72.792)
Epoch: [91][2400/5005] Time 0.208 (0.212) Data 0.042 (0.047) Loss 2.3160 (2.2999) Prec@1 46.094 (47.376) Prec@5 71.484 (72.788)
Epoch: [91][2410/5005] Time 0.197 (0.212) Data 0.044 (0.047) Loss 2.5022 (2.2999) Prec@1 41.406 (47.374) Prec@5 68.359 (72.785)
Epoch: [91][2420/5005] Time 0.202 (0.212) Data 0.043 (0.047) Loss 2.2388 (2.2998) Prec@1 48.047 (47.377) Prec@5 75.000 (72.791)
Epoch: [91][2430/5005] Time 0.215 (0.212) Data 0.043 (0.047) Loss 2.2389 (2.2998) Prec@1 46.484 (47.376) Prec@5 71.094 (72.791)
Epoch: [91][2440/5005] Time 0.209 (0.212) Data 0.041 (0.047) Loss 2.0774 (2.2996) Prec@1 53.516 (47.384) Prec@5 76.953 (72.787)
Epoch: [91][2450/5005] Time 0.213 (0.212) Data 0.042 (0.047) Loss 2.2190 (2.2994) Prec@1 50.000 (47.392) Prec@5 74.609 (72.788)
Epoch: [91][2460/5005] Time 0.211 (0.212) Data 0.044 (0.047) Loss 2.1899 (2.2992) Prec@1 47.266 (47.393) Prec@5 75.000 (72.790)
Epoch: [91][2470/5005] Time 0.212 (0.212) Data 0.046 (0.047) Loss 2.0008 (2.2989) Prec@1 54.688 (47.403) Prec@5 75.391 (72.795)
Epoch: [91][2480/5005] Time 0.199 (0.212) Data 0.049 (0.047) Loss 2.4749 (2.2990) Prec@1 48.438 (47.402) Prec@5 71.484 (72.792)
Epoch: [91][2490/5005] Time 0.213 (0.212) Data 0.050 (0.047) Loss 2.2538 (2.2991) Prec@1 48.828 (47.403) Prec@5 73.828 (72.793)
Epoch: [91][2500/5005] Time 0.216 (0.212) Data 0.043 (0.047) Loss 2.3177 (2.2990) Prec@1 47.656 (47.403) Prec@5 71.094 (72.793)
Epoch: [91][2510/5005] Time 0.203 (0.212) Data 0.043 (0.047) Loss 2.4841 (2.2991) Prec@1 44.531 (47.398) Prec@5 72.656 (72.791)
Epoch: [91][2520/5005] Time 0.214 (0.212) Data 0.043 (0.047) Loss 2.3763 (2.2990) Prec@1 45.703 (47.396) Prec@5 71.484 (72.793)
Epoch: [91][2530/5005] Time 0.194 (0.212) Data 0.043 (0.047) Loss 2.3523 (2.2990) Prec@1 43.750 (47.396) Prec@5 71.875 (72.792)
Epoch: [91][2540/5005] Time 0.203 (0.212) Data 0.042 (0.047) Loss 2.1377 (2.2990) Prec@1 48.438 (47.398) Prec@5 76.172 (72.793)
Epoch: [91][2550/5005] Time 0.204 (0.212) Data 0.052 (0.047) Loss 2.3863 (2.2990) Prec@1 42.578 (47.395) Prec@5 72.266 (72.794)
Epoch: [91][2560/5005] Time 0.206 (0.212) Data 0.042 (0.047) Loss 2.5798 (2.2992) Prec@1 42.578 (47.395) Prec@5 67.188 (72.791)
Epoch: [91][2570/5005] Time 0.213 (0.212) Data 0.041 (0.047) Loss 2.2796 (2.2992) Prec@1 43.359 (47.394) Prec@5 73.047 (72.792)
Epoch: [91][2580/5005] Time 0.215 (0.212) Data 0.044 (0.047) Loss 2.4516 (2.2996) Prec@1 45.703 (47.390) Prec@5 67.188 (72.781)
Epoch: [91][2590/5005] Time 0.209 (0.212) Data 0.042 (0.047) Loss 2.3609 (2.2995) Prec@1 45.703 (47.399) Prec@5 73.828 (72.782)
Epoch: [91][2600/5005] Time 0.209 (0.212) Data 0.043 (0.047) Loss 2.4190 (2.2996) Prec@1 41.016 (47.394) Prec@5 71.094 (72.782)
Epoch: [91][2610/5005] Time 0.208 (0.212) Data 0.047 (0.047) Loss 2.3803 (2.2995) Prec@1 45.703 (47.398) Prec@5 71.484 (72.785)
Epoch: [91][2620/5005] Time 0.215 (0.212) Data 0.043 (0.047) Loss 2.1626 (2.2994) Prec@1 49.219 (47.397) Prec@5 72.266 (72.785)
Epoch: [91][2630/5005] Time 0.215 (0.212) Data 0.043 (0.047) Loss 2.4598 (2.2999) Prec@1 45.703 (47.395) Prec@5 72.266 (72.777)
Epoch: [91][2640/5005] Time 0.205 (0.212) Data 0.046 (0.047) Loss 2.5245 (2.2998) Prec@1 41.016 (47.390) Prec@5 66.016 (72.774)
Epoch: [91][2650/5005] Time 0.211 (0.212) Data 0.048 (0.047) Loss 2.4359 (2.2999) Prec@1 51.562 (47.390) Prec@5 67.969 (72.773)
Epoch: [91][2660/5005] Time 0.196 (0.212) Data 0.053 (0.047) Loss 2.1606 (2.2998) Prec@1 45.703 (47.390) Prec@5 76.953 (72.776)
Epoch: [91][2670/5005] Time 0.206 (0.211) Data 0.041 (0.047) Loss 1.9655 (2.2997) Prec@1 50.781 (47.394) Prec@5 79.297 (72.779)
Epoch: [91][2680/5005] Time 0.216 (0.211) Data 0.043 (0.047) Loss 2.1315 (2.2997) Prec@1 50.781 (47.390) Prec@5 73.828 (72.776)
Epoch: [91][2690/5005] Time 0.210 (0.211) Data 0.051 (0.047) Loss 2.1160 (2.2997) Prec@1 51.562 (47.389) Prec@5 75.391 (72.773)
Epoch: [91][2700/5005] Time 0.207 (0.211) Data 0.048 (0.047) Loss 2.3945 (2.2997) Prec@1 44.141 (47.386) Prec@5 69.922 (72.774)
Epoch: [91][2710/5005] Time 0.201 (0.211) Data 0.050 (0.047) Loss 2.0614 (2.2998) Prec@1 49.609 (47.382) Prec@5 77.734 (72.777)
Epoch: [91][2720/5005] Time 0.210 (0.211) Data 0.046 (0.047) Loss 2.1863 (2.2998) Prec@1 50.000 (47.382) Prec@5 74.609 (72.776)
Epoch: [91][2730/5005] Time 0.212 (0.211) Data 0.043 (0.047) Loss 2.3670 (2.2995) Prec@1 48.828 (47.391) Prec@5 70.312 (72.779)
Epoch: [91][2740/5005] Time 0.209 (0.211) Data 0.043 (0.047) Loss 2.1386 (2.2994) Prec@1 51.562 (47.396) Prec@5 76.172 (72.778)
Epoch: [91][2750/5005] Time 0.211 (0.211) Data 0.045 (0.047) Loss 2.2809 (2.2993) Prec@1 49.219 (47.399) Prec@5 71.484 (72.778)
Epoch: [91][2760/5005] Time 0.209 (0.211) Data 0.044 (0.047) Loss 2.2687 (2.2992) Prec@1 49.219 (47.398) Prec@5 73.438 (72.781)
Epoch: [91][2770/5005] Time 0.206 (0.211) Data 0.042 (0.047) Loss 2.2195 (2.2992) Prec@1 48.828 (47.399) Prec@5 74.219 (72.779)
Epoch: [91][2780/5005] Time 0.203 (0.211) Data 0.045 (0.047) Loss 2.5388 (2.2993) Prec@1 37.500 (47.399) Prec@5 67.969 (72.777)
Epoch: [91][2790/5005] Time 0.208 (0.211) Data 0.058 (0.047) Loss 2.6689 (2.2994) Prec@1 39.453 (47.397) Prec@5 67.578 (72.774)
Epoch: [91][2800/5005] Time 0.206 (0.211) Data 0.056 (0.047) Loss 2.0633 (2.2994) Prec@1 54.297 (47.398) Prec@5 74.609 (72.776)
Epoch: [91][2810/5005] Time 0.207 (0.211) Data 0.045 (0.047) Loss 2.4816 (2.2994) Prec@1 45.703 (47.398) Prec@5 70.703 (72.776)
Epoch: [91][2820/5005] Time 0.213 (0.211) Data 0.043 (0.047) Loss 2.0292 (2.2994) Prec@1 52.344 (47.396) Prec@5 78.125 (72.780)
Epoch: [91][2830/5005] Time 0.203 (0.211) Data 0.046 (0.047) Loss 2.5001 (2.2995) Prec@1 46.094 (47.393) Prec@5 68.359 (72.779)
Epoch: [91][2840/5005] Time 0.203 (0.211) Data 0.045 (0.047) Loss 2.2783 (2.2994) Prec@1 45.703 (47.393) Prec@5 76.172 (72.781)
Epoch: [91][2850/5005] Time 0.210 (0.211) Data 0.041 (0.047) Loss 2.2367 (2.2993) Prec@1 49.219 (47.395) Prec@5 69.141 (72.783)
Epoch: [91][2860/5005] Time 0.204 (0.211) Data 0.045 (0.047) Loss 2.3548 (2.2993) Prec@1 49.219 (47.400) Prec@5 69.531 (72.782)
Epoch: [91][2870/5005] Time 0.203 (0.211) Data 0.046 (0.047) Loss 2.0885 (2.2990) Prec@1 52.734 (47.406) Prec@5 74.609 (72.788)
Epoch: [91][2880/5005] Time 0.189 (0.211) Data 0.057 (0.047) Loss 2.2324 (2.2989) Prec@1 45.703 (47.406) Prec@5 75.000 (72.788)
Epoch: [91][2890/5005] Time 0.214 (0.211) Data 0.042 (0.047) Loss 2.2357 (2.2988) Prec@1 46.094 (47.406) Prec@5 73.828 (72.792)
Epoch: [91][2900/5005] Time 0.194 (0.211) Data 0.046 (0.047) Loss 1.9347 (2.2986) Prec@1 53.516 (47.416) Prec@5 79.688 (72.799)
Epoch: [91][2910/5005] Time 0.213 (0.211) Data 0.049 (0.047) Loss 2.2633 (2.2986) Prec@1 45.312 (47.416) Prec@5 72.266 (72.797)
Epoch: [91][2920/5005] Time 0.214 (0.211) Data 0.046 (0.047) Loss 2.4027 (2.2986) Prec@1 43.359 (47.414) Prec@5 72.266 (72.797)
Epoch: [91][2930/5005] Time 0.206 (0.211) Data 0.042 (0.047) Loss 2.4981 (2.2986) Prec@1 45.703 (47.416) Prec@5 71.094 (72.797)
Epoch: [91][2940/5005] Time 0.198 (0.211) Data 0.047 (0.047) Loss 2.3724 (2.2984) Prec@1 46.484 (47.420) Prec@5 72.656 (72.801)
Epoch: [91][2950/5005] Time 0.209 (0.211) Data 0.041 (0.047) Loss 2.4990 (2.2982) Prec@1 42.969 (47.423) Prec@5 69.531 (72.805)
Epoch: [91][2960/5005] Time 0.201 (0.211) Data 0.046 (0.047) Loss 2.2690 (2.2981) Prec@1 46.875 (47.429) Prec@5 72.266 (72.807)
Epoch: [91][2970/5005] Time 0.199 (0.211) Data 0.053 (0.047) Loss 2.4081 (2.2979) Prec@1 42.578 (47.429) Prec@5 72.266 (72.812)
Epoch: [91][2980/5005] Time 0.208 (0.211) Data 0.046 (0.047) Loss 2.4084 (2.2979) Prec@1 42.578 (47.427) Prec@5 73.047 (72.815)
Epoch: [91][2990/5005] Time 0.198 (0.211) Data 0.041 (0.047) Loss 2.2376 (2.2980) Prec@1 48.047 (47.426) Prec@5 72.656 (72.812)
Epoch: [91][3000/5005] Time 0.202 (0.211) Data 0.042 (0.047) Loss 2.2687 (2.2979) Prec@1 48.047 (47.426) Prec@5 71.875 (72.814)
Epoch: [91][3010/5005] Time 0.204 (0.211) Data 0.043 (0.047) Loss 2.3088 (2.2979) Prec@1 47.266 (47.424) Prec@5 71.875 (72.811)
Epoch: [91][3020/5005] Time 0.206 (0.211) Data 0.042 (0.047) Loss 2.1911 (2.2981) Prec@1 46.094 (47.421) Prec@5 73.047 (72.805)
Epoch: [91][3030/5005] Time 0.206 (0.211) Data 0.053 (0.047) Loss 2.3563 (2.2981) Prec@1 46.875 (47.420) Prec@5 71.484 (72.806)
Epoch: [91][3040/5005] Time 0.213 (0.211) Data 0.044 (0.047) Loss 2.1887 (2.2980) Prec@1 51.953 (47.424) Prec@5 74.219 (72.808)
Epoch: [91][3050/5005] Time 0.197 (0.211) Data 0.067 (0.047) Loss 2.3029 (2.2981) Prec@1 47.266 (47.421) Prec@5 72.266 (72.808)
Epoch: [91][3060/5005] Time 0.210 (0.211) Data 0.046 (0.047) Loss 2.1949 (2.2979) Prec@1 50.781 (47.421) Prec@5 74.609 (72.812)
Epoch: [91][3070/5005] Time 0.216 (0.211) Data 0.048 (0.047) Loss 2.1917 (2.2979) Prec@1 47.266 (47.424) Prec@5 75.391 (72.810)
Epoch: [91][3080/5005] Time 0.207 (0.211) Data 0.049 (0.047) Loss 2.2222 (2.2978) Prec@1 45.703 (47.422) Prec@5 73.438 (72.812)
Epoch: [91][3090/5005] Time 0.212 (0.211) Data 0.043 (0.047) Loss 2.5296 (2.2977) Prec@1 42.969 (47.425) Prec@5 69.531 (72.813)
Epoch: [91][3100/5005] Time 0.204 (0.211) Data 0.046 (0.047) Loss 2.2691 (2.2977) Prec@1 48.047 (47.422) Prec@5 69.922 (72.810)
Epoch: [91][3110/5005] Time 0.213 (0.211) Data 0.044 (0.047) Loss 2.0185 (2.2974) Prec@1 51.172 (47.423) Prec@5 76.953 (72.816)
Epoch: [91][3120/5005] Time 0.209 (0.211) Data 0.052 (0.047) Loss 2.2338 (2.2973) Prec@1 47.656 (47.424) Prec@5 73.828 (72.813)
Epoch: [91][3130/5005] Time 0.211 (0.211) Data 0.052 (0.047) Loss 2.2997 (2.2971) Prec@1 44.531 (47.428) Prec@5 69.922 (72.814)
Epoch: [91][3140/5005] Time 0.218 (0.211) Data 0.043 (0.047) Loss 2.0298 (2.2969) Prec@1 52.734 (47.432) Prec@5 74.219 (72.820)
Epoch: [91][3150/5005] Time 0.209 (0.211) Data 0.051 (0.047) Loss 2.3944 (2.2967) Prec@1 44.531 (47.439) Prec@5 71.484 (72.825)
Epoch: [91][3160/5005] Time 0.210 (0.211) Data 0.047 (0.047) Loss 2.0398 (2.2966) Prec@1 51.172 (47.444) Prec@5 78.125 (72.825)
Epoch: [91][3170/5005] Time 0.211 (0.211) Data 0.049 (0.047) Loss 2.2891 (2.2967) Prec@1 46.875 (47.442) Prec@5 73.828 (72.822)
Epoch: [91][3180/5005] Time 0.209 (0.211) Data 0.048 (0.047) Loss 2.0957 (2.2968) Prec@1 51.562 (47.439) Prec@5 76.562 (72.823)
Epoch: [91][3190/5005] Time 0.208 (0.211) Data 0.055 (0.047) Loss 2.2462 (2.2968) Prec@1 48.438 (47.442) Prec@5 76.172 (72.826)
Epoch: [91][3200/5005] Time 0.207 (0.211) Data 0.052 (0.047) Loss 2.4581 (2.2969) Prec@1 43.750 (47.442) Prec@5 72.656 (72.825)
Epoch: [91][3210/5005] Time 0.209 (0.211) Data 0.044 (0.047) Loss 2.4006 (2.2970) Prec@1 44.531 (47.443) Prec@5 69.922 (72.823)
Epoch: [91][3220/5005] Time 0.218 (0.211) Data 0.045 (0.047) Loss 2.4256 (2.2969) Prec@1 47.656 (47.447) Prec@5 70.312 (72.823)
Epoch: [91][3230/5005] Time 0.209 (0.211) Data 0.047 (0.047) Loss 2.3027 (2.2968) Prec@1 47.266 (47.450) Prec@5 74.219 (72.824)
Epoch: [91][3240/5005] Time 0.198 (0.211) Data 0.051 (0.047) Loss 2.4055 (2.2972) Prec@1 42.188 (47.443) Prec@5 71.875 (72.819)
Epoch: [91][3250/5005] Time 0.210 (0.211) Data 0.046 (0.047) Loss 2.1862 (2.2971) Prec@1 48.828 (47.440) Prec@5 76.562 (72.821)
Epoch: [91][3260/5005] Time 0.204 (0.211) Data 0.058 (0.047) Loss 2.1969 (2.2972) Prec@1 47.266 (47.437) Prec@5 75.781 (72.821)
Epoch: [91][3270/5005] Time 0.204 (0.211) Data 0.052 (0.047) Loss 2.3303 (2.2971) Prec@1 50.000 (47.444) Prec@5 70.312 (72.822)
Epoch: [91][3280/5005] Time 0.201 (0.211) Data 0.042 (0.047) Loss 2.2162 (2.2971) Prec@1 49.609 (47.440) Prec@5 73.438 (72.822)
Epoch: [91][3290/5005] Time 0.198 (0.211) Data 0.051 (0.047) Loss 2.2326 (2.2970) Prec@1 48.828 (47.438) Prec@5 73.047 (72.821)
Epoch: [91][3300/5005] Time 0.201 (0.211) Data 0.048 (0.047) Loss 2.2552 (2.2970) Prec@1 45.312 (47.438) Prec@5 74.219 (72.825)
Epoch: [91][3310/5005] Time 0.214 (0.211) Data 0.041 (0.047) Loss 2.1462 (2.2969) Prec@1 48.438 (47.441) Prec@5 75.000 (72.826)
Epoch: [91][3320/5005] Time 0.206 (0.211) Data 0.049 (0.047) Loss 2.1927 (2.2969) Prec@1 51.562 (47.441) Prec@5 75.391 (72.828)
Epoch: [91][3330/5005] Time 0.213 (0.211) Data 0.046 (0.047) Loss 2.4684 (2.2971) Prec@1 44.531 (47.439) Prec@5 67.969 (72.825)
Epoch: [91][3340/5005] Time 0.214 (0.211) Data 0.047 (0.047) Loss 2.3463 (2.2969) Prec@1 48.438 (47.443) Prec@5 73.828 (72.831)
Epoch: [91][3350/5005] Time 0.198 (0.211) Data 0.045 (0.047) Loss 2.3014 (2.2968) Prec@1 49.609 (47.447) Prec@5 73.047 (72.834)
Epoch: [91][3360/5005] Time 0.209 (0.211) Data 0.043 (0.047) Loss 2.2992 (2.2968) Prec@1 48.047 (47.449) Prec@5 71.094 (72.833)
Epoch: [91][3370/5005] Time 0.211 (0.211) Data 0.048 (0.047) Loss 2.4241 (2.2970) Prec@1 43.750 (47.446) Prec@5 71.094 (72.828)
Epoch: [91][3380/5005] Time 0.205 (0.211) Data 0.045 (0.047) Loss 2.2162 (2.2969) Prec@1 48.047 (47.447) Prec@5 72.266 (72.829)
Epoch: [91][3390/5005] Time 0.206 (0.211) Data 0.043 (0.047) Loss 2.3028 (2.2970) Prec@1 48.828 (47.447) Prec@5 73.438 (72.824)
Epoch: [91][3400/5005] Time 0.213 (0.211) Data 0.041 (0.047) Loss 2.2408 (2.2971) Prec@1 49.609 (47.447) Prec@5 73.438 (72.820)
Epoch: [91][3410/5005] Time 0.211 (0.211) Data 0.042 (0.047) Loss 2.1967 (2.2969) Prec@1 54.297 (47.448) Prec@5 76.172 (72.825)
Epoch: [91][3420/5005] Time 0.209 (0.211) Data 0.042 (0.047) Loss 2.1341 (2.2969) Prec@1 50.781 (47.447) Prec@5 77.344 (72.828)
Epoch: [91][3430/5005] Time 0.213 (0.211) Data 0.043 (0.047) Loss 2.3421 (2.2969) Prec@1 47.266 (47.450) Prec@5 70.312 (72.828)
Epoch: [91][3440/5005] Time 0.210 (0.211) Data 0.043 (0.047) Loss 2.3098 (2.2968) Prec@1 47.266 (47.449) Prec@5 70.703 (72.828)
Epoch: [91][3450/5005] Time 0.209 (0.211) Data 0.046 (0.047) Loss 2.1381 (2.2968) Prec@1 51.562 (47.451) Prec@5 75.000 (72.830)
Epoch: [91][3460/5005] Time 0.196 (0.211) Data 0.049 (0.047) Loss 2.2731 (2.2968) Prec@1 48.828 (47.449) Prec@5 75.391 (72.831)
Epoch: [91][3470/5005] Time 0.205 (0.211) Data 0.051 (0.047) Loss 2.1394 (2.2966) Prec@1 53.516 (47.454) Prec@5 74.219 (72.833)
Epoch: [91][3480/5005] Time 0.207 (0.211) Data 0.048 (0.047) Loss 2.3581 (2.2964) Prec@1 44.141 (47.457) Prec@5 72.266 (72.838)
Epoch: [91][3490/5005] Time 0.210 (0.211) Data 0.044 (0.047) Loss 2.4040 (2.2965) Prec@1 45.312 (47.458) Prec@5 73.828 (72.838)
Epoch: [91][3500/5005] Time 0.209 (0.211) Data 0.044 (0.047) Loss 2.1335 (2.2965) Prec@1 48.047 (47.453) Prec@5 74.219 (72.836)
Epoch: [91][3510/5005] Time 0.215 (0.211) Data 0.043 (0.047) Loss 2.1320 (2.2963) Prec@1 50.391 (47.453) Prec@5 73.828 (72.839)
Epoch: [91][3520/5005] Time 0.211 (0.211) Data 0.042 (0.047) Loss 2.5015 (2.2964) Prec@1 46.484 (47.456) Prec@5 68.359 (72.838)
Epoch: [91][3530/5005] Time 0.210 (0.211) Data 0.054 (0.047) Loss 2.2222 (2.2962) Prec@1 48.047 (47.463) Prec@5 78.516 (72.840)
Epoch: [91][3540/5005] Time 0.219 (0.211) Data 0.046 (0.047) Loss 2.2593 (2.2961) Prec@1 47.656 (47.466) Prec@5 75.000 (72.843)
Epoch: [91][3550/5005] Time 0.207 (0.211) Data 0.050 (0.047) Loss 2.3770 (2.2960) Prec@1 43.750 (47.468) Prec@5 71.094 (72.845)
Epoch: [91][3560/5005] Time 0.223 (0.211) Data 0.046 (0.047) Loss 2.3523 (2.2960) Prec@1 45.312 (47.467) Prec@5 72.656 (72.846)
Epoch: [91][3570/5005] Time 0.220 (0.211) Data 0.042 (0.047) Loss 2.4644 (2.2960) Prec@1 47.656 (47.466) Prec@5 69.922 (72.846)
Epoch: [91][3580/5005] Time 0.217 (0.211) Data 0.043 (0.047) Loss 2.2102 (2.2960) Prec@1 50.391 (47.467) Prec@5 71.484 (72.846)
Epoch: [91][3590/5005] Time 0.202 (0.211) Data 0.042 (0.047) Loss 2.2982 (2.2957) Prec@1 47.656 (47.472) Prec@5 70.312 (72.848)
Epoch: [91][3600/5005] Time 0.209 (0.211) Data 0.042 (0.047) Loss 2.2864 (2.2955) Prec@1 51.172 (47.479) Prec@5 72.656 (72.847)
Epoch: [91][3610/5005] Time 0.198 (0.211) Data 0.043 (0.047) Loss 2.1704 (2.2955) Prec@1 49.609 (47.479) Prec@5 72.266 (72.847)
Epoch: [91][3620/5005] Time 0.208 (0.211) Data 0.043 (0.047) Loss 2.4796 (2.2953) Prec@1 45.703 (47.484) Prec@5 67.578 (72.851)
Epoch: [91][3630/5005] Time 0.209 (0.211) Data 0.042 (0.047) Loss 2.5800 (2.2953) Prec@1 41.406 (47.482) Prec@5 67.578 (72.850)
Epoch: [91][3640/5005] Time 0.208 (0.211) Data 0.042 (0.047) Loss 2.3217 (2.2954) Prec@1 47.266 (47.481) Prec@5 71.094 (72.848)
Epoch: [91][3650/5005] Time 0.209 (0.211) Data 0.044 (0.047) Loss 1.9681 (2.2954) Prec@1 53.125 (47.480) Prec@5 81.250 (72.849)
Epoch: [91][3660/5005] Time 0.202 (0.211) Data 0.044 (0.047) Loss 2.2690 (2.2951) Prec@1 45.703 (47.483) Prec@5 75.781 (72.853)
Epoch: [91][3670/5005] Time 0.211 (0.211) Data 0.045 (0.047) Loss 2.4435 (2.2953) Prec@1 41.016 (47.478) Prec@5 69.141 (72.852)
Epoch: [91][3680/5005] Time 0.211 (0.211) Data 0.045 (0.047) Loss 2.1890 (2.2954) Prec@1 48.828 (47.477) Prec@5 74.609 (72.848)
Epoch: [91][3690/5005] Time 0.218 (0.211) Data 0.041 (0.047) Loss 2.0211 (2.2953) Prec@1 50.000 (47.478) Prec@5 76.562 (72.849)
Epoch: [91][3700/5005] Time 0.198 (0.211) Data 0.056 (0.047) Loss 2.4262 (2.2953) Prec@1 46.094 (47.476) Prec@5 72.656 (72.849)
Epoch: [91][3710/5005] Time 0.209 (0.211) Data 0.042 (0.047) Loss 2.2060 (2.2953) Prec@1 51.172 (47.475) Prec@5 75.000 (72.853)
Epoch: [91][3720/5005] Time 0.204 (0.211) Data 0.046 (0.047) Loss 2.4288 (2.2952) Prec@1 48.828 (47.475) Prec@5 70.703 (72.853)
Epoch: [91][3730/5005] Time 0.216 (0.211) Data 0.046 (0.047) Loss 2.0967 (2.2950) Prec@1 51.172 (47.480) Prec@5 76.953 (72.857)
Epoch: [91][3740/5005] Time 0.205 (0.211) Data 0.045 (0.047) Loss 2.2369 (2.2947) Prec@1 50.391 (47.486) Prec@5 73.828 (72.861)
Epoch: [91][3750/5005] Time 0.214 (0.211) Data 0.046 (0.047) Loss 2.3214 (2.2949) Prec@1 45.703 (47.483) Prec@5 73.828 (72.857)
Epoch: [91][3760/5005] Time 0.205 (0.210) Data 0.043 (0.047) Loss 2.2670 (2.2950) Prec@1 47.266 (47.482) Prec@5 74.609 (72.856)
Epoch: [91][3770/5005] Time 0.202 (0.210) Data 0.046 (0.047) Loss 2.4206 (2.2948) Prec@1 43.750 (47.484) Prec@5 69.922 (72.858)
Epoch: [91][3780/5005] Time 0.206 (0.210) Data 0.042 (0.047) Loss 2.3217 (2.2948) Prec@1 52.344 (47.486) Prec@5 72.656 (72.859)
Epoch: [91][3790/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.4076 (2.2948) Prec@1 49.219 (47.485) Prec@5 70.703 (72.856)
Epoch: [91][3800/5005] Time 0.210 (0.210) Data 0.048 (0.047) Loss 2.2271 (2.2950) Prec@1 46.094 (47.482) Prec@5 72.266 (72.852)
Epoch: [91][3810/5005] Time 0.210 (0.210) Data 0.042 (0.047) Loss 2.2620 (2.2951) Prec@1 50.000 (47.479) Prec@5 75.781 (72.849)
Epoch: [91][3820/5005] Time 0.214 (0.210) Data 0.051 (0.047) Loss 2.2835 (2.2949) Prec@1 50.391 (47.483) Prec@5 74.219 (72.852)
Epoch: [91][3830/5005] Time 0.209 (0.210) Data 0.041 (0.047) Loss 2.2246 (2.2946) Prec@1 48.828 (47.486) Prec@5 71.484 (72.857)
Epoch: [91][3840/5005] Time 0.217 (0.210) Data 0.043 (0.047) Loss 2.4337 (2.2948) Prec@1 43.750 (47.480) Prec@5 69.531 (72.854)
Epoch: [91][3850/5005] Time 0.209 (0.210) Data 0.041 (0.047) Loss 2.4262 (2.2947) Prec@1 47.266 (47.485) Prec@5 73.047 (72.857)
Epoch: [91][3860/5005] Time 0.208 (0.210) Data 0.052 (0.047) Loss 2.1872 (2.2946) Prec@1 52.344 (47.487) Prec@5 74.609 (72.859)
Epoch: [91][3870/5005] Time 0.213 (0.210) Data 0.041 (0.047) Loss 2.2200 (2.2946) Prec@1 41.797 (47.487) Prec@5 73.828 (72.858)
Epoch: [91][3880/5005] Time 0.207 (0.210) Data 0.046 (0.047) Loss 2.2341 (2.2947) Prec@1 51.172 (47.486) Prec@5 73.828 (72.857)
Epoch: [91][3890/5005] Time 0.204 (0.210) Data 0.044 (0.047) Loss 2.5630 (2.2947) Prec@1 46.094 (47.490) Prec@5 67.578 (72.855)
Epoch: [91][3900/5005] Time 0.208 (0.210) Data 0.045 (0.047) Loss 2.6015 (2.2948) Prec@1 43.359 (47.485) Prec@5 67.578 (72.853)
Epoch: [91][3910/5005] Time 0.193 (0.210) Data 0.058 (0.047) Loss 2.4099 (2.2948) Prec@1 42.188 (47.487) Prec@5 71.484 (72.852)
Epoch: [91][3920/5005] Time 0.202 (0.210) Data 0.052 (0.047) Loss 2.2327 (2.2948) Prec@1 48.828 (47.488) Prec@5 72.266 (72.854)
Epoch: [91][3930/5005] Time 0.206 (0.210) Data 0.038 (0.047) Loss 2.2402 (2.2946) Prec@1 49.609 (47.491) Prec@5 70.703 (72.856)
Epoch: [91][3940/5005] Time 0.200 (0.210) Data 0.055 (0.047) Loss 2.3638 (2.2946) Prec@1 47.266 (47.492) Prec@5 71.094 (72.854)
Epoch: [91][3950/5005] Time 0.205 (0.210) Data 0.051 (0.047) Loss 2.1837 (2.2943) Prec@1 50.781 (47.496) Prec@5 74.219 (72.860)
Epoch: [91][3960/5005] Time 0.212 (0.210) Data 0.039 (0.047) Loss 2.4066 (2.2943) Prec@1 44.531 (47.496) Prec@5 73.047 (72.860)
Epoch: [91][3970/5005] Time 0.200 (0.210) Data 0.042 (0.047) Loss 2.2808 (2.2942) Prec@1 50.000 (47.497) Prec@5 73.438 (72.859)
Epoch: [91][3980/5005] Time 0.203 (0.210) Data 0.056 (0.047) Loss 2.2122 (2.2942) Prec@1 52.344 (47.498) Prec@5 75.781 (72.861)
Epoch: [91][3990/5005] Time 0.190 (0.210) Data 0.043 (0.047) Loss 2.3663 (2.2943) Prec@1 48.047 (47.496) Prec@5 71.875 (72.860)
Epoch: [91][4000/5005] Time 0.210 (0.210) Data 0.041 (0.047) Loss 2.0636 (2.2943) Prec@1 50.000 (47.495) Prec@5 76.953 (72.860)
Epoch: [91][4010/5005] Time 0.209 (0.210) Data 0.051 (0.047) Loss 2.3400 (2.2942) Prec@1 46.484 (47.495) Prec@5 73.438 (72.861)
Epoch: [91][4020/5005] Time 0.192 (0.210) Data 0.063 (0.047) Loss 2.5199 (2.2942) Prec@1 44.922 (47.497) Prec@5 67.188 (72.862)
Epoch: [91][4030/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.3899 (2.2944) Prec@1 46.484 (47.493) Prec@5 71.875 (72.858)
Epoch: [91][4040/5005] Time 0.213 (0.210) Data 0.044 (0.047) Loss 2.2853 (2.2945) Prec@1 48.047 (47.490) Prec@5 71.875 (72.855)
Epoch: [91][4050/5005] Time 0.208 (0.210) Data 0.045 (0.047) Loss 2.4615 (2.2945) Prec@1 43.750 (47.490) Prec@5 70.312 (72.855)
Epoch: [91][4060/5005] Time 0.207 (0.210) Data 0.041 (0.047) Loss 2.3694 (2.2945) Prec@1 42.578 (47.488) Prec@5 70.703 (72.853)
Epoch: [91][4070/5005] Time 0.210 (0.210) Data 0.043 (0.047) Loss 2.3546 (2.2946) Prec@1 48.047 (47.486) Prec@5 75.000 (72.852)
Epoch: [91][4080/5005] Time 0.205 (0.210) Data 0.052 (0.047) Loss 2.3061 (2.2947) Prec@1 46.875 (47.485) Prec@5 73.438 (72.851)
Epoch: [91][4090/5005] Time 0.215 (0.210) Data 0.052 (0.047) Loss 2.3641 (2.2946) Prec@1 45.703 (47.485) Prec@5 71.094 (72.851)
Epoch: [91][4100/5005] Time 0.211 (0.210) Data 0.049 (0.047) Loss 2.1661 (2.2945) Prec@1 51.172 (47.489) Prec@5 74.609 (72.852)
Epoch: [91][4110/5005] Time 0.204 (0.210) Data 0.055 (0.047) Loss 2.3602 (2.2945) Prec@1 46.094 (47.487) Prec@5 73.047 (72.852)
Epoch: [91][4120/5005] Time 0.215 (0.210) Data 0.043 (0.047) Loss 2.2527 (2.2944) Prec@1 51.172 (47.491) Prec@5 71.484 (72.854)
Epoch: [91][4130/5005] Time 0.202 (0.210) Data 0.050 (0.047) Loss 2.5433 (2.2943) Prec@1 41.406 (47.489) Prec@5 66.016 (72.855)
Epoch: [91][4140/5005] Time 0.197 (0.210) Data 0.051 (0.047) Loss 2.3531 (2.2943) Prec@1 45.703 (47.492) Prec@5 70.703 (72.856)
Epoch: [91][4150/5005] Time 0.214 (0.210) Data 0.044 (0.047) Loss 2.5483 (2.2943) Prec@1 44.531 (47.491) Prec@5 69.141 (72.857)
Epoch: [91][4160/5005] Time 0.214 (0.210) Data 0.043 (0.047) Loss 2.2663 (2.2944) Prec@1 48.438 (47.492) Prec@5 72.656 (72.854)
Epoch: [91][4170/5005] Time 0.202 (0.210) Data 0.043 (0.047) Loss 2.2694 (2.2944) Prec@1 46.875 (47.495) Prec@5 73.047 (72.855)
Epoch: [91][4180/5005] Time 0.212 (0.210) Data 0.044 (0.047) Loss 2.1863 (2.2943) Prec@1 48.047 (47.498) Prec@5 73.438 (72.855)
Epoch: [91][4190/5005] Time 0.200 (0.210) Data 0.060 (0.047) Loss 2.1466 (2.2943) Prec@1 49.609 (47.494) Prec@5 74.609 (72.854)
Epoch: [91][4200/5005] Time 0.214 (0.210) Data 0.042 (0.047) Loss 2.2006 (2.2944) Prec@1 46.875 (47.494) Prec@5 73.828 (72.854)
Epoch: [91][4210/5005] Time 0.207 (0.210) Data 0.051 (0.047) Loss 2.0842 (2.2943) Prec@1 47.656 (47.493) Prec@5 78.516 (72.856)
Epoch: [91][4220/5005] Time 0.210 (0.210) Data 0.049 (0.047) Loss 2.4792 (2.2945) Prec@1 43.750 (47.488) Prec@5 70.312 (72.855)
Epoch: [91][4230/5005] Time 0.207 (0.210) Data 0.060 (0.047) Loss 2.2437 (2.2945) Prec@1 48.828 (47.491) Prec@5 74.609 (72.856)
Epoch: [91][4240/5005] Time 0.192 (0.210) Data 0.048 (0.047) Loss 2.0574 (2.2945) Prec@1 53.906 (47.488) Prec@5 78.906 (72.856)
Epoch: [91][4250/5005] Time 0.193 (0.210) Data 0.052 (0.047) Loss 2.1071 (2.2944) Prec@1 50.000 (47.489) Prec@5 76.172 (72.857)
Epoch: [91][4260/5005] Time 0.196 (0.210) Data 0.047 (0.047) Loss 2.2147 (2.2944) Prec@1 46.875 (47.488) Prec@5 72.656 (72.857)
Epoch: [91][4270/5005] Time 0.201 (0.210) Data 0.048 (0.047) Loss 2.4495 (2.2945) Prec@1 42.578 (47.489) Prec@5 70.312 (72.854)
Epoch: [91][4280/5005] Time 0.218 (0.210) Data 0.050 (0.047) Loss 2.4033 (2.2944) Prec@1 44.141 (47.492) Prec@5 73.828 (72.853)
Epoch: [91][4290/5005] Time 0.216 (0.210) Data 0.046 (0.047) Loss 2.2949 (2.2944) Prec@1 50.391 (47.496) Prec@5 73.438 (72.855)
Epoch: [91][4300/5005] Time 0.207 (0.210) Data 0.043 (0.047) Loss 2.0681 (2.2942) Prec@1 48.828 (47.500) Prec@5 75.391 (72.857)
Epoch: [91][4310/5005] Time 0.206 (0.210) Data 0.043 (0.047) Loss 2.2480 (2.2941) Prec@1 50.781 (47.500) Prec@5 75.391 (72.859)
Epoch: [91][4320/5005] Time 0.213 (0.210) Data 0.043 (0.047) Loss 2.3214 (2.2942) Prec@1 48.047 (47.500) Prec@5 72.656 (72.857)
Epoch: [91][4330/5005] Time 0.207 (0.210) Data 0.059 (0.047) Loss 2.1899 (2.2942) Prec@1 47.266 (47.500) Prec@5 73.047 (72.854)
Epoch: [91][4340/5005] Time 0.197 (0.210) Data 0.046 (0.047) Loss 2.2785 (2.2942) Prec@1 47.266 (47.498) Prec@5 71.094 (72.855)
Epoch: [91][4350/5005] Time 0.204 (0.210) Data 0.045 (0.047) Loss 2.3643 (2.2942) Prec@1 50.000 (47.499) Prec@5 74.609 (72.856)
Epoch: [91][4360/5005] Time 0.199 (0.210) Data 0.060 (0.047) Loss 2.0984 (2.2941) Prec@1 47.656 (47.498) Prec@5 74.219 (72.859)
Epoch: [91][4370/5005] Time 0.211 (0.210) Data 0.040 (0.047) Loss 2.3158 (2.2941) Prec@1 46.094 (47.499) Prec@5 70.312 (72.858)
Epoch: [91][4380/5005] Time 0.198 (0.210) Data 0.043 (0.047) Loss 2.2975 (2.2941) Prec@1 48.438 (47.498) Prec@5 73.438 (72.858)
Epoch: [91][4390/5005] Time 0.209 (0.210) Data 0.042 (0.047) Loss 2.3254 (2.2939) Prec@1 48.438 (47.502) Prec@5 69.531 (72.858)
Epoch: [91][4400/5005] Time 0.216 (0.210) Data 0.043 (0.047) Loss 2.1801 (2.2939) Prec@1 47.656 (47.503) Prec@5 75.000 (72.857)
Epoch: [91][4410/5005] Time 0.207 (0.210) Data 0.049 (0.047) Loss 2.2100 (2.2938) Prec@1 49.219 (47.507) Prec@5 73.828 (72.857)
Epoch: [91][4420/5005] Time 0.208 (0.210) Data 0.050 (0.047) Loss 1.8580 (2.2937) Prec@1 53.125 (47.506) Prec@5 80.469 (72.859)
Epoch: [91][4430/5005] Time 0.209 (0.210) Data 0.042 (0.047) Loss 2.2714 (2.2936) Prec@1 47.656 (47.509) Prec@5 74.219 (72.862)
Epoch: [91][4440/5005] Time 0.204 (0.210) Data 0.044 (0.047) Loss 2.4657 (2.2936) Prec@1 41.797 (47.509) Prec@5 71.484 (72.862)
Epoch: [91][4450/5005] Time 0.204 (0.210) Data 0.052 (0.047) Loss 2.1645 (2.2935) Prec@1 47.266 (47.511) Prec@5 75.391 (72.863)
Epoch: [91][4460/5005] Time 0.207 (0.210) Data 0.043 (0.047) Loss 2.3529 (2.2934) Prec@1 48.047 (47.512) Prec@5 72.656 (72.866)
Epoch: [91][4470/5005] Time 0.205 (0.210) Data 0.048 (0.047) Loss 2.2549 (2.2935) Prec@1 48.438 (47.511) Prec@5 75.781 (72.865)
Epoch: [91][4480/5005] Time 0.217 (0.210) Data 0.043 (0.047) Loss 2.1478 (2.2936) Prec@1 48.828 (47.509) Prec@5 73.047 (72.861)
Epoch: [91][4490/5005] Time 0.204 (0.210) Data 0.047 (0.047) Loss 2.2067 (2.2937) Prec@1 49.219 (47.506) Prec@5 75.000 (72.859)
Epoch: [91][4500/5005] Time 0.220 (0.210) Data 0.047 (0.047) Loss 2.2138 (2.2937) Prec@1 50.000 (47.505) Prec@5 75.000 (72.859)
Epoch: [91][4510/5005] Time 0.214 (0.210) Data 0.041 (0.047) Loss 2.1690 (2.2938) Prec@1 49.219 (47.503) Prec@5 77.344 (72.859)
Epoch: [91][4520/5005] Time 0.213 (0.210) Data 0.043 (0.047) Loss 2.0924 (2.2936) Prec@1 51.953 (47.504) Prec@5 75.781 (72.861)
Epoch: [91][4530/5005] Time 0.222 (0.210) Data 0.042 (0.047) Loss 2.2384 (2.2935) Prec@1 51.172 (47.507) Prec@5 74.219 (72.864)
Epoch: [91][4540/5005] Time 0.208 (0.210) Data 0.042 (0.047) Loss 2.4124 (2.2936) Prec@1 47.656 (47.505) Prec@5 70.312 (72.863)
Epoch: [91][4550/5005] Time 0.198 (0.210) Data 0.048 (0.047) Loss 2.3173 (2.2936) Prec@1 45.703 (47.503) Prec@5 69.141 (72.864)
Epoch: [91][4560/5005] Time 0.215 (0.210) Data 0.045 (0.047) Loss 2.2523 (2.2935) Prec@1 48.047 (47.506) Prec@5 75.000 (72.863)
Epoch: [91][4570/5005] Time 0.208 (0.210) Data 0.041 (0.047) Loss 2.3065 (2.2934) Prec@1 50.391 (47.506) Prec@5 70.312 (72.865)
Epoch: [91][4580/5005] Time 0.205 (0.210) Data 0.058 (0.047) Loss 2.3645 (2.2934) Prec@1 44.922 (47.508) Prec@5 71.094 (72.866)
Epoch: [91][4590/5005] Time 0.201 (0.210) Data 0.043 (0.047) Loss 2.1025 (2.2935) Prec@1 50.000 (47.504) Prec@5 75.781 (72.865)
Epoch: [91][4600/5005] Time 0.218 (0.210) Data 0.048 (0.047) Loss 2.0497 (2.2934) Prec@1 53.125 (47.506) Prec@5 77.344 (72.864)
Epoch: [91][4610/5005] Time 0.208 (0.210) Data 0.041 (0.047) Loss 2.1212 (2.2934) Prec@1 47.266 (47.505) Prec@5 74.219 (72.865)
Epoch: [91][4620/5005] Time 0.194 (0.210) Data 0.044 (0.047) Loss 2.1178 (2.2933) Prec@1 52.344 (47.507) Prec@5 74.609 (72.866)
Epoch: [91][4630/5005] Time 0.209 (0.210) Data 0.043 (0.047) Loss 2.1074 (2.2931) Prec@1 52.734 (47.508) Prec@5 76.172 (72.868)
Epoch: [91][4640/5005] Time 0.211 (0.210) Data 0.043 (0.047) Loss 2.3002 (2.2930) Prec@1 51.172 (47.512) Prec@5 71.484 (72.870)
Epoch: [91][4650/5005] Time 0.212 (0.210) Data 0.042 (0.047) Loss 2.4203 (2.2930) Prec@1 43.359 (47.512) Prec@5 67.969 (72.870)
Epoch: [91][4660/5005] Time 0.199 (0.210) Data 0.046 (0.047) Loss 2.3974 (2.2930) Prec@1 46.094 (47.513) Prec@5 69.531 (72.871)
Epoch: [91][4670/5005] Time 0.196 (0.210) Data 0.048 (0.047) Loss 2.2666 (2.2929) Prec@1 48.438 (47.513) Prec@5 71.484 (72.873)
Epoch: [91][4680/5005] Time 0.200 (0.210) Data 0.057 (0.047) Loss 2.1794 (2.2928) Prec@1 48.828 (47.511) Prec@5 76.562 (72.874)
Epoch: [91][4690/5005] Time 0.207 (0.210) Data 0.044 (0.047) Loss 2.3599 (2.2929) Prec@1 45.703 (47.510) Prec@5 72.266 (72.872)
Epoch: [91][4700/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.2133 (2.2929) Prec@1 53.516 (47.512) Prec@5 73.438 (72.871)
Epoch: [91][4710/5005] Time 0.202 (0.210) Data 0.043 (0.047) Loss 2.2492 (2.2927) Prec@1 51.172 (47.516) Prec@5 73.438 (72.875)
Epoch: [91][4720/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.2606 (2.2927) Prec@1 50.000 (47.518) Prec@5 75.391 (72.874)
Epoch: [91][4730/5005] Time 0.205 (0.210) Data 0.047 (0.047) Loss 2.2881 (2.2928) Prec@1 44.141 (47.513) Prec@5 75.000 (72.872)
Epoch: [91][4740/5005] Time 0.206 (0.210) Data 0.041 (0.047) Loss 2.1154 (2.2927) Prec@1 52.734 (47.515) Prec@5 75.000 (72.873)
Epoch: [91][4750/5005] Time 0.208 (0.210) Data 0.046 (0.047) Loss 2.1737 (2.2926) Prec@1 47.656 (47.517) Prec@5 75.781 (72.876)
Epoch: [91][4760/5005] Time 0.202 (0.210) Data 0.044 (0.047) Loss 2.5653 (2.2925) Prec@1 47.266 (47.519) Prec@5 70.703 (72.877)
Epoch: [91][4770/5005] Time 0.208 (0.210) Data 0.057 (0.047) Loss 2.2528 (2.2925) Prec@1 50.781 (47.520) Prec@5 73.828 (72.878)
Epoch: [91][4780/5005] Time 0.206 (0.210) Data 0.042 (0.047) Loss 2.4610 (2.2925) Prec@1 46.484 (47.522) Prec@5 72.266 (72.878)
Epoch: [91][4790/5005] Time 0.209 (0.210) Data 0.050 (0.047) Loss 2.4311 (2.2925) Prec@1 43.750 (47.523) Prec@5 69.531 (72.877)
Epoch: [91][4800/5005] Time 0.214 (0.210) Data 0.047 (0.047) Loss 2.3501 (2.2924) Prec@1 46.875 (47.525) Prec@5 71.484 (72.881)
Epoch: [91][4810/5005] Time 0.205 (0.210) Data 0.041 (0.047) Loss 2.4807 (2.2924) Prec@1 44.922 (47.527) Prec@5 67.969 (72.880)
Epoch: [91][4820/5005] Time 0.197 (0.210) Data 0.048 (0.047) Loss 2.3998 (2.2923) Prec@1 43.359 (47.528) Prec@5 70.312 (72.880)
Epoch: [91][4830/5005] Time 0.212 (0.210) Data 0.046 (0.047) Loss 2.3283 (2.2922) Prec@1 46.484 (47.531) Prec@5 70.312 (72.882)
Epoch: [91][4840/5005] Time 0.211 (0.210) Data 0.042 (0.047) Loss 2.0622 (2.2922) Prec@1 54.297 (47.531) Prec@5 76.562 (72.880)
Epoch: [91][4850/5005] Time 0.213 (0.210) Data 0.043 (0.047) Loss 2.3682 (2.2923) Prec@1 45.703 (47.528) Prec@5 71.484 (72.877)
Epoch: [91][4860/5005] Time 0.205 (0.210) Data 0.046 (0.047) Loss 2.2520 (2.2923) Prec@1 47.656 (47.530) Prec@5 70.703 (72.876)
Epoch: [91][4870/5005] Time 0.207 (0.210) Data 0.041 (0.047) Loss 2.1811 (2.2923) Prec@1 54.297 (47.531) Prec@5 74.219 (72.874)
Epoch: [91][4880/5005] Time 0.209 (0.210) Data 0.042 (0.047) Loss 2.1816 (2.2922) Prec@1 53.125 (47.533) Prec@5 74.609 (72.876)
Epoch: [91][4890/5005] Time 0.211 (0.210) Data 0.047 (0.047) Loss 2.3802 (2.2921) Prec@1 49.609 (47.536) Prec@5 69.141 (72.876)
Epoch: [91][4900/5005] Time 0.209 (0.210) Data 0.043 (0.047) Loss 2.1447 (2.2920) Prec@1 49.219 (47.538) Prec@5 73.438 (72.877)
Epoch: [91][4910/5005] Time 0.216 (0.210) Data 0.043 (0.047) Loss 2.3315 (2.2919) Prec@1 47.656 (47.538) Prec@5 74.609 (72.878)
Epoch: [91][4920/5005] Time 0.208 (0.210) Data 0.050 (0.047) Loss 2.1676 (2.2918) Prec@1 50.391 (47.537) Prec@5 76.172 (72.880)
Epoch: [91][4930/5005] Time 0.198 (0.210) Data 0.045 (0.047) Loss 2.4284 (2.2918) Prec@1 44.922 (47.536) Prec@5 67.969 (72.882)
Epoch: [91][4940/5005] Time 0.213 (0.210) Data 0.043 (0.047) Loss 2.4633 (2.2919) Prec@1 44.922 (47.538) Prec@5 69.531 (72.881)
Epoch: [91][4950/5005] Time 0.207 (0.210) Data 0.046 (0.047) Loss 2.0539 (2.2918) Prec@1 53.125 (47.539) Prec@5 78.125 (72.880)
Epoch: [91][4960/5005] Time 0.200 (0.210) Data 0.048 (0.047) Loss 2.3712 (2.2919) Prec@1 49.219 (47.539) Prec@5 71.875 (72.879)
Epoch: [91][4970/5005] Time 0.205 (0.210) Data 0.048 (0.047) Loss 2.3461 (2.2918) Prec@1 46.094 (47.538) Prec@5 72.656 (72.880)
Epoch: [91][4980/5005] Time 0.205 (0.210) Data 0.043 (0.047) Loss 2.1706 (2.2918) Prec@1 49.609 (47.540) Prec@5 77.344 (72.883)
Epoch: [91][4990/5005] Time 0.204 (0.210) Data 0.022 (0.047) Loss 2.4183 (2.2917) Prec@1 43.359 (47.543) Prec@5 69.531 (72.885)
Epoch: [91][5000/5005] Time 0.205 (0.210) Data 0.022 (0.047) Loss 2.4905 (2.2916) Prec@1 42.188 (47.542) Prec@5 69.922 (72.885)
Test: [0/196] Time 1.798 (1.798) Loss 2.4271 (2.4271) Prec@1 48.047 (48.047) Prec@5 71.094 (71.094)
Test: [10/196] Time 0.082 (0.299) Loss 2.4914 (2.5551) Prec@1 45.312 (43.857) Prec@5 71.094 (69.851)
Test: [20/196] Time 0.049 (0.243) Loss 2.4546 (2.5560) Prec@1 44.531 (43.508) Prec@5 71.484 (69.550)
Test: [30/196] Time 0.043 (0.210) Loss 2.4672 (2.5562) Prec@1 44.141 (43.674) Prec@5 70.703 (69.393)
Test: [40/196] Time 0.042 (0.193) Loss 2.3027 (2.5507) Prec@1 48.438 (44.026) Prec@5 74.609 (69.541)
Test: [50/196] Time 0.634 (0.203) Loss 2.6113 (2.5499) Prec@1 43.359 (44.010) Prec@5 69.141 (69.547)
Test: [60/196] Time 0.041 (0.191) Loss 2.4563 (2.5351) Prec@1 48.438 (44.339) Prec@5 71.094 (69.647)
Test: [70/196] Time 0.043 (0.184) Loss 2.4944 (2.5295) Prec@1 47.266 (44.350) Prec@5 69.922 (69.702)
Test: [80/196] Time 0.044 (0.184) Loss 2.3770 (2.5352) Prec@1 48.828 (44.338) Prec@5 75.781 (69.647)
Test: [90/196] Time 0.045 (0.186) Loss 2.6103 (2.5371) Prec@1 43.750 (44.372) Prec@5 69.141 (69.609)
Test: [100/196] Time 0.098 (0.184) Loss 2.5847 (2.5347) Prec@1 46.484 (44.531) Prec@5 69.922 (69.655)
Test: [110/196] Time 0.614 (0.186) Loss 2.7519 (2.5371) Prec@1 41.016 (44.591) Prec@5 63.672 (69.644)
Test: [120/196] Time 0.044 (0.184) Loss 2.3727 (2.5331) Prec@1 44.531 (44.686) Prec@5 71.875 (69.689)
Test: [130/196] Time 0.045 (0.183) Loss 2.2907 (2.5300) Prec@1 47.656 (44.731) Prec@5 72.266 (69.758)
Test: [140/196] Time 0.372 (0.183) Loss 2.3642 (2.5324) Prec@1 48.438 (44.648) Prec@5 69.531 (69.667)
Test: [150/196] Time 0.343 (0.182) Loss 2.2038 (2.5307) Prec@1 47.266 (44.648) Prec@5 77.734 (69.728)
Test: [160/196] Time 0.264 (0.182) Loss 2.4694 (2.5297) Prec@1 49.219 (44.670) Prec@5 69.141 (69.733)
Test: [170/196] Time 0.044 (0.180) Loss 2.4151 (2.5318) Prec@1 46.875 (44.636) Prec@5 73.438 (69.709)
Test: [180/196] Time 0.044 (0.179) Loss 2.7512 (2.5360) Prec@1 38.672 (44.581) Prec@5 67.578 (69.656)
Test: [190/196] Time 0.156 (0.180) Loss 2.7387 (2.5393) Prec@1 41.406 (44.546) Prec@5 63.281 (69.503)
* Prec@1 44.566 Prec@5 69.518
Learning rate: 1e-06
Epoch: [92][0/5005] Time 1.070 (1.070) Data 0.954 (0.954) Loss 2.3208 (2.3208) Prec@1 45.312 (45.312) Prec@5 72.266 (72.266)
Epoch: [92][10/5005] Time 0.203 (0.286) Data 0.048 (0.132) Loss 2.2697 (2.3164) Prec@1 47.266 (45.632) Prec@5 72.266 (72.656)
Epoch: [92][20/5005] Time 0.199 (0.246) Data 0.043 (0.092) Loss 2.4471 (2.3173) Prec@1 45.312 (46.280) Prec@5 72.266 (72.526)
Epoch: [92][30/5005] Time 0.204 (0.232) Data 0.046 (0.077) Loss 2.1646 (2.2813) Prec@1 51.562 (46.925) Prec@5 73.438 (72.933)
Epoch: [92][40/5005] Time 0.198 (0.224) Data 0.065 (0.071) Loss 2.2618 (2.2883) Prec@1 48.828 (46.799) Prec@5 72.656 (72.990)
Epoch: [92][50/5005] Time 0.208 (0.220) Data 0.063 (0.068) Loss 2.0946 (2.2864) Prec@1 46.875 (46.875) Prec@5 75.781 (73.032)
Epoch: [92][60/5005] Time 0.187 (0.217) Data 0.042 (0.065) Loss 2.3620 (2.2894) Prec@1 44.922 (46.901) Prec@5 72.266 (72.957)
Epoch: [92][70/5005] Time 0.213 (0.215) Data 0.044 (0.062) Loss 2.3508 (2.2970) Prec@1 46.094 (46.721) Prec@5 72.266 (72.882)
Epoch: [92][80/5005] Time 0.198 (0.214) Data 0.043 (0.060) Loss 2.1854 (2.2896) Prec@1 48.828 (46.957) Prec@5 73.047 (72.931)
Epoch: [92][90/5005] Time 0.203 (0.213) Data 0.042 (0.058) Loss 2.3157 (2.2912) Prec@1 48.047 (47.072) Prec@5 72.656 (72.888)
Epoch: [92][100/5005] Time 0.209 (0.212) Data 0.043 (0.057) Loss 2.1081 (2.2947) Prec@1 49.219 (47.146) Prec@5 75.781 (72.830)
Epoch: [92][110/5005] Time 0.202 (0.211) Data 0.044 (0.056) Loss 2.3382 (2.2959) Prec@1 50.391 (47.361) Prec@5 70.312 (72.779)
Epoch: [92][120/5005] Time 0.207 (0.211) Data 0.044 (0.055) Loss 2.2579 (2.2955) Prec@1 43.359 (47.392) Prec@5 72.656 (72.766)
Epoch: [92][130/5005] Time 0.198 (0.210) Data 0.044 (0.054) Loss 2.4412 (2.2984) Prec@1 46.484 (47.448) Prec@5 69.141 (72.689)
Epoch: [92][140/5005] Time 0.216 (0.210) Data 0.041 (0.053) Loss 2.2461 (2.2966) Prec@1 46.875 (47.415) Prec@5 71.875 (72.709)
Epoch: [92][150/5005] Time 0.207 (0.209) Data 0.043 (0.053) Loss 2.3617 (2.2964) Prec@1 47.656 (47.436) Prec@5 71.484 (72.752)
Epoch: [92][160/5005] Time 0.206 (0.209) Data 0.045 (0.052) Loss 2.2893 (2.2982) Prec@1 48.438 (47.452) Prec@5 70.703 (72.729)
Epoch: [92][170/5005] Time 0.195 (0.209) Data 0.044 (0.052) Loss 2.2754 (2.2989) Prec@1 50.781 (47.444) Prec@5 73.047 (72.716)
Epoch: [92][180/5005] Time 0.219 (0.209) Data 0.046 (0.052) Loss 2.5850 (2.3023) Prec@1 44.531 (47.447) Prec@5 66.016 (72.648)
Epoch: [92][190/5005] Time 0.216 (0.210) Data 0.058 (0.051) Loss 2.4851 (2.3061) Prec@1 45.312 (47.372) Prec@5 70.703 (72.589)
Epoch: [92][200/5005] Time 0.210 (0.210) Data 0.042 (0.051) Loss 2.6809 (2.3107) Prec@1 38.672 (47.242) Prec@5 67.578 (72.520)
Epoch: [92][210/5005] Time 0.221 (0.211) Data 0.044 (0.051) Loss 2.1036 (2.3115) Prec@1 51.172 (47.229) Prec@5 73.828 (72.516)
Epoch: [92][220/5005] Time 0.212 (0.211) Data 0.042 (0.051) Loss 2.4176 (2.3123) Prec@1 46.094 (47.213) Prec@5 69.922 (72.510)
Epoch: [92][230/5005] Time 0.222 (0.212) Data 0.044 (0.050) Loss 2.3376 (2.3125) Prec@1 47.266 (47.242) Prec@5 74.609 (72.567)
Epoch: [92][240/5005] Time 0.217 (0.212) Data 0.042 (0.050) Loss 2.2488 (2.3117) Prec@1 46.875 (47.201) Prec@5 73.828 (72.574)
Epoch: [92][250/5005] Time 0.218 (0.212) Data 0.043 (0.050) Loss 2.4656 (2.3101) Prec@1 44.531 (47.211) Prec@5 71.094 (72.611)
Epoch: [92][260/5005] Time 0.216 (0.212) Data 0.060 (0.050) Loss 2.1939 (2.3087) Prec@1 45.312 (47.215) Prec@5 74.219 (72.635)
Epoch: [92][270/5005] Time 0.216 (0.212) Data 0.043 (0.050) Loss 2.4233 (2.3083) Prec@1 47.656 (47.227) Prec@5 68.750 (72.623)
Epoch: [92][280/5005] Time 0.208 (0.212) Data 0.060 (0.050) Loss 2.7263 (2.3096) Prec@1 37.891 (47.186) Prec@5 64.453 (72.570)
Epoch: [92][290/5005] Time 0.207 (0.212) Data 0.055 (0.050) Loss 2.0783 (2.3106) Prec@1 52.734 (47.152) Prec@5 75.000 (72.560)
Epoch: [92][300/5005] Time 0.220 (0.212) Data 0.052 (0.050) Loss 2.0992 (2.3085) Prec@1 49.219 (47.171) Prec@5 77.344 (72.604)
Epoch: [92][310/5005] Time 0.215 (0.212) Data 0.046 (0.050) Loss 2.1819 (2.3065) Prec@1 49.219 (47.200) Prec@5 74.219 (72.637)
Epoch: [92][320/5005] Time 0.206 (0.212) Data 0.045 (0.050) Loss 2.4317 (2.3073) Prec@1 45.703 (47.210) Prec@5 72.266 (72.648)
Epoch: [92][330/5005] Time 0.208 (0.212) Data 0.047 (0.050) Loss 2.0255 (2.3053) Prec@1 51.953 (47.222) Prec@5 78.906 (72.661)
Epoch: [92][340/5005] Time 0.216 (0.212) Data 0.051 (0.050) Loss 2.3926 (2.3092) Prec@1 48.438 (47.145) Prec@5 74.609 (72.612)
Epoch: [92][350/5005] Time 0.214 (0.212) Data 0.064 (0.051) Loss 2.3888 (2.3088) Prec@1 46.094 (47.128) Prec@5 69.141 (72.599)
Epoch: [92][360/5005] Time 0.205 (0.212) Data 0.044 (0.051) Loss 2.2890 (2.3090) Prec@1 46.094 (47.125) Prec@5 72.656 (72.596)
Epoch: [92][370/5005] Time 0.202 (0.212) Data 0.044 (0.050) Loss 2.3031 (2.3078) Prec@1 48.047 (47.171) Prec@5 73.828 (72.585)
Epoch: [92][380/5005] Time 0.202 (0.212) Data 0.060 (0.050) Loss 2.5289 (2.3088) Prec@1 44.531 (47.173) Prec@5 67.578 (72.562)
Epoch: [92][390/5005] Time 0.214 (0.212) Data 0.047 (0.051) Loss 2.3156 (2.3101) Prec@1 50.000 (47.152) Prec@5 73.047 (72.540)
Epoch: [92][400/5005] Time 0.216 (0.212) Data 0.047 (0.051) Loss 2.2179 (2.3094) Prec@1 46.875 (47.169) Prec@5 74.609 (72.572)
Epoch: [92][410/5005] Time 0.208 (0.212) Data 0.045 (0.051) Loss 2.1519 (2.3096) Prec@1 49.219 (47.179) Prec@5 75.781 (72.586)
Epoch: [92][420/5005] Time 0.222 (0.212) Data 0.049 (0.051) Loss 2.2312 (2.3090) Prec@1 50.391 (47.199) Prec@5 72.656 (72.614)
Epoch: [92][430/5005] Time 0.223 (0.212) Data 0.046 (0.051) Loss 2.3118 (2.3088) Prec@1 48.438 (47.185) Prec@5 73.047 (72.619)
Epoch: [92][440/5005] Time 0.211 (0.212) Data 0.047 (0.051) Loss 2.2365 (2.3077) Prec@1 49.219 (47.196) Prec@5 73.438 (72.633)
Epoch: [92][450/5005] Time 0.213 (0.212) Data 0.048 (0.051) Loss 2.2140 (2.3086) Prec@1 47.266 (47.169) Prec@5 75.000 (72.624)
Epoch: [92][460/5005] Time 0.213 (0.212) Data 0.043 (0.051) Loss 2.3863 (2.3090) Prec@1 43.359 (47.142) Prec@5 70.312 (72.624)
Epoch: [92][470/5005] Time 0.224 (0.212) Data 0.044 (0.050) Loss 2.3121 (2.3105) Prec@1 42.578 (47.125) Prec@5 70.703 (72.585)
Epoch: [92][480/5005] Time 0.216 (0.212) Data 0.058 (0.050) Loss 2.2968 (2.3105) Prec@1 46.094 (47.125) Prec@5 70.312 (72.577)
Epoch: [92][490/5005] Time 0.210 (0.212) Data 0.049 (0.050) Loss 2.2989 (2.3102) Prec@1 53.125 (47.130) Prec@5 73.047 (72.591)
Epoch: [92][500/5005] Time 0.223 (0.212) Data 0.051 (0.050) Loss 2.5138 (2.3121) Prec@1 44.531 (47.105) Prec@5 66.016 (72.546)
Epoch: [92][510/5005] Time 0.219 (0.212) Data 0.045 (0.050) Loss 2.7183 (2.3126) Prec@1 37.891 (47.085) Prec@5 66.016 (72.554)
Epoch: [92][520/5005] Time 0.212 (0.212) Data 0.051 (0.050) Loss 2.3480 (2.3124) Prec@1 49.219 (47.095) Prec@5 69.531 (72.563)
Epoch: [92][530/5005] Time 0.211 (0.212) Data 0.048 (0.050) Loss 2.3472 (2.3124) Prec@1 47.656 (47.126) Prec@5 71.484 (72.554)
Epoch: [92][540/5005] Time 0.211 (0.212) Data 0.060 (0.050) Loss 2.4904 (2.3130) Prec@1 44.922 (47.113) Prec@5 69.531 (72.539)
Epoch: [92][550/5005] Time 0.207 (0.212) Data 0.059 (0.050) Loss 2.2267 (2.3120) Prec@1 50.391 (47.144) Prec@5 78.516 (72.543)
Epoch: [92][560/5005] Time 0.194 (0.212) Data 0.044 (0.050) Loss 2.3336 (2.3117) Prec@1 50.000 (47.165) Prec@5 69.531 (72.544)
Epoch: [92][570/5005] Time 0.211 (0.212) Data 0.044 (0.050) Loss 2.3970 (2.3128) Prec@1 49.219 (47.150) Prec@5 70.312 (72.518)
Epoch: [92][580/5005] Time 0.210 (0.212) Data 0.043 (0.050) Loss 2.2498 (2.3116) Prec@1 48.828 (47.173) Prec@5 75.391 (72.534)
Epoch: [92][590/5005] Time 0.212 (0.212) Data 0.043 (0.050) Loss 2.5769 (2.3120) Prec@1 42.578 (47.171) Prec@5 68.750 (72.521)
Epoch: [92][600/5005] Time 0.215 (0.212) Data 0.039 (0.050) Loss 2.3735 (2.3133) Prec@1 45.312 (47.129) Prec@5 71.484 (72.510)
Epoch: [92][610/5005] Time 0.219 (0.212) Data 0.044 (0.050) Loss 2.2925 (2.3138) Prec@1 50.000 (47.122) Prec@5 72.656 (72.516)
Epoch: [92][620/5005] Time 0.213 (0.212) Data 0.052 (0.050) Loss 2.1360 (2.3132) Prec@1 53.125 (47.144) Prec@5 75.781 (72.531)
Epoch: [92][630/5005] Time 0.203 (0.212) Data 0.047 (0.050) Loss 2.5794 (2.3136) Prec@1 44.141 (47.154) Prec@5 67.969 (72.528)
Epoch: [92][640/5005] Time 0.215 (0.212) Data 0.051 (0.050) Loss 2.2287 (2.3129) Prec@1 44.141 (47.166) Prec@5 73.047 (72.540)
Epoch: [92][650/5005] Time 0.198 (0.212) Data 0.063 (0.050) Loss 2.2917 (2.3137) Prec@1 47.266 (47.138) Prec@5 72.266 (72.533)
Epoch: [92][660/5005] Time 0.210 (0.212) Data 0.041 (0.050) Loss 2.3955 (2.3130) Prec@1 41.797 (47.147) Prec@5 72.656 (72.538)
Epoch: [92][670/5005] Time 0.204 (0.212) Data 0.044 (0.050) Loss 2.5471 (2.3132) Prec@1 38.672 (47.145) Prec@5 69.141 (72.526)
Epoch: [92][680/5005] Time 0.219 (0.212) Data 0.046 (0.050) Loss 2.2313 (2.3129) Prec@1 48.828 (47.145) Prec@5 76.172 (72.529)
Epoch: [92][690/5005] Time 0.208 (0.212) Data 0.045 (0.050) Loss 2.1354 (2.3118) Prec@1 50.781 (47.164) Prec@5 75.391 (72.553)
Epoch: [92][700/5005] Time 0.212 (0.212) Data 0.044 (0.050) Loss 2.3818 (2.3114) Prec@1 46.875 (47.170) Prec@5 71.484 (72.565)
Epoch: [92][710/5005] Time 0.217 (0.212) Data 0.045 (0.050) Loss 2.1771 (2.3111) Prec@1 45.312 (47.182) Prec@5 75.000 (72.567)
Epoch: [92][720/5005] Time 0.209 (0.212) Data 0.052 (0.050) Loss 2.1829 (2.3103) Prec@1 50.781 (47.191) Prec@5 75.781 (72.574)
Epoch: [92][730/5005] Time 0.208 (0.212) Data 0.044 (0.050) Loss 2.3374 (2.3105) Prec@1 48.828 (47.201) Prec@5 73.438 (72.567)
Epoch: [92][740/5005] Time 0.220 (0.212) Data 0.043 (0.050) Loss 2.3857 (2.3108) Prec@1 47.266 (47.184) Prec@5 72.266 (72.561)
Epoch: [92][750/5005] Time 0.214 (0.212) Data 0.058 (0.050) Loss 2.1243 (2.3106) Prec@1 50.000 (47.180) Prec@5 76.562 (72.566)
Epoch: [92][760/5005] Time 0.215 (0.212) Data 0.044 (0.050) Loss 2.4077 (2.3108) Prec@1 42.578 (47.174) Prec@5 72.656 (72.568)
Epoch: [92][770/5005] Time 0.208 (0.212) Data 0.043 (0.050) Loss 2.3105 (2.3093) Prec@1 45.703 (47.196) Prec@5 69.141 (72.584)
Epoch: [92][780/5005] Time 0.210 (0.212) Data 0.042 (0.050) Loss 2.3933 (2.3091) Prec@1 45.312 (47.195) Prec@5 71.484 (72.576)
Epoch: [92][790/5005] Time 0.212 (0.212) Data 0.044 (0.050) Loss 2.2943 (2.3088) Prec@1 46.484 (47.202) Prec@5 71.875 (72.575)
Epoch: [92][800/5005] Time 0.213 (0.212) Data 0.057 (0.050) Loss 2.2031 (2.3084) Prec@1 47.656 (47.223) Prec@5 75.781 (72.574)
Epoch: [92][810/5005] Time 0.212 (0.212) Data 0.043 (0.050) Loss 2.4131 (2.3089) Prec@1 44.922 (47.213) Prec@5 69.141 (72.572)
Epoch: [92][820/5005] Time 0.191 (0.212) Data 0.041 (0.050) Loss 2.4284 (2.3092) Prec@1 44.141 (47.204) Prec@5 72.656 (72.572)
Epoch: [92][830/5005] Time 0.211 (0.212) Data 0.041 (0.049) Loss 2.2076 (2.3094) Prec@1 48.047 (47.204) Prec@5 75.000 (72.576)
Epoch: [92][840/5005] Time 0.213 (0.212) Data 0.042 (0.049) Loss 2.3371 (2.3095) Prec@1 45.703 (47.209) Prec@5 73.828 (72.589)
Epoch: [92][850/5005] Time 0.214 (0.212) Data 0.045 (0.049) Loss 2.5284 (2.3096) Prec@1 47.656 (47.228) Prec@5 70.703 (72.589)
Epoch: [92][860/5005] Time 0.216 (0.212) Data 0.046 (0.049) Loss 2.3521 (2.3097) Prec@1 45.312 (47.237) Prec@5 72.266 (72.589)
Epoch: [92][870/5005] Time 0.214 (0.212) Data 0.044 (0.049) Loss 2.2594 (2.3084) Prec@1 47.266 (47.271) Prec@5 73.047 (72.606)
Epoch: [92][880/5005] Time 0.216 (0.212) Data 0.048 (0.049) Loss 2.2197 (2.3089) Prec@1 47.656 (47.278) Prec@5 73.438 (72.597)
Epoch: [92][890/5005] Time 0.220 (0.212) Data 0.047 (0.049) Loss 2.5345 (2.3086) Prec@1 42.578 (47.277) Prec@5 64.062 (72.601)
Epoch: [92][900/5005] Time 0.214 (0.212) Data 0.040 (0.049) Loss 2.2261 (2.3081) Prec@1 49.609 (47.284) Prec@5 75.391 (72.612)
Epoch: [92][910/5005] Time 0.211 (0.212) Data 0.057 (0.049) Loss 2.2918 (2.3083) Prec@1 46.484 (47.280) Prec@5 75.000 (72.617)
Epoch: [92][920/5005] Time 0.214 (0.212) Data 0.045 (0.049) Loss 2.3082 (2.3082) Prec@1 44.531 (47.294) Prec@5 70.312 (72.617)
Epoch: [92][930/5005] Time 0.201 (0.212) Data 0.047 (0.049) Loss 2.3073 (2.3079) Prec@1 50.781 (47.298) Prec@5 70.703 (72.616)
Epoch: [92][940/5005] Time 0.212 (0.212) Data 0.043 (0.049) Loss 2.1177 (2.3079) Prec@1 47.656 (47.296) Prec@5 78.516 (72.621)
Epoch: [92][950/5005] Time 0.214 (0.212) Data 0.059 (0.049) Loss 2.5987 (2.3088) Prec@1 44.922 (47.292) Prec@5 69.922 (72.614)
Epoch: [92][960/5005] Time 0.210 (0.212) Data 0.042 (0.049) Loss 2.4629 (2.3089) Prec@1 47.656 (47.292) Prec@5 70.703 (72.605)
Epoch: [92][970/5005] Time 0.208 (0.212) Data 0.046 (0.049) Loss 2.1197 (2.3088) Prec@1 50.391 (47.297) Prec@5 75.781 (72.606)
Epoch: [92][980/5005] Time 0.205 (0.212) Data 0.043 (0.049) Loss 2.1281 (2.3079) Prec@1 51.562 (47.308) Prec@5 75.781 (72.620)
Epoch: [92][990/5005] Time 0.198 (0.212) Data 0.043 (0.049) Loss 2.4512 (2.3082) Prec@1 42.969 (47.298) Prec@5 70.703 (72.613)
Epoch: [92][1000/5005] Time 0.208 (0.212) Data 0.042 (0.049) Loss 2.2881 (2.3081) Prec@1 50.391 (47.313) Prec@5 73.438 (72.608)
Epoch: [92][1010/5005] Time 0.211 (0.212) Data 0.044 (0.049) Loss 2.3709 (2.3079) Prec@1 46.484 (47.308) Prec@5 71.484 (72.607)
Epoch: [92][1020/5005] Time 0.206 (0.212) Data 0.054 (0.049) Loss 2.1123 (2.3083) Prec@1 51.172 (47.305) Prec@5 74.219 (72.598)
Epoch: [92][1030/5005] Time 0.201 (0.212) Data 0.051 (0.049) Loss 2.2903 (2.3078) Prec@1 44.141 (47.300) Prec@5 71.875 (72.608)
Epoch: [92][1040/5005] Time 0.213 (0.212) Data 0.046 (0.049) Loss 2.3601 (2.3079) Prec@1 47.266 (47.305) Prec@5 71.484 (72.615)
Epoch: [92][1050/5005] Time 0.196 (0.212) Data 0.052 (0.049) Loss 2.4442 (2.3080) Prec@1 46.484 (47.291) Prec@5 71.484 (72.615)
Epoch: [92][1060/5005] Time 0.213 (0.212) Data 0.046 (0.049) Loss 2.4209 (2.3083) Prec@1 48.438 (47.288) Prec@5 71.875 (72.618)
Epoch: [92][1070/5005] Time 0.212 (0.212) Data 0.042 (0.049) Loss 2.4008 (2.3084) Prec@1 46.875 (47.292) Prec@5 71.094 (72.616)
Epoch: [92][1080/5005] Time 0.204 (0.212) Data 0.042 (0.049) Loss 2.2721 (2.3081) Prec@1 44.531 (47.289) Prec@5 72.656 (72.618)
Epoch: [92][1090/5005] Time 0.211 (0.211) Data 0.043 (0.049) Loss 2.1687 (2.3079) Prec@1 49.609 (47.300) Prec@5 76.172 (72.619)
Epoch: [92][1100/5005] Time 0.206 (0.211) Data 0.042 (0.049) Loss 2.3211 (2.3076) Prec@1 46.094 (47.306) Prec@5 73.438 (72.624)
Epoch: [92][1110/5005] Time 0.207 (0.211) Data 0.040 (0.049) Loss 2.3586 (2.3077) Prec@1 47.656 (47.300) Prec@5 73.047 (72.630)
Epoch: [92][1120/5005] Time 0.213 (0.211) Data 0.046 (0.049) Loss 2.1386 (2.3070) Prec@1 47.656 (47.305) Prec@5 74.219 (72.635)
Epoch: [92][1130/5005] Time 0.203 (0.211) Data 0.045 (0.049) Loss 2.4164 (2.3074) Prec@1 43.750 (47.296) Prec@5 69.922 (72.634)
Epoch: [92][1140/5005] Time 0.209 (0.211) Data 0.046 (0.049) Loss 2.2940 (2.3073) Prec@1 48.828 (47.297) Prec@5 72.656 (72.643)
Epoch: [92][1150/5005] Time 0.210 (0.211) Data 0.041 (0.049) Loss 2.3535 (2.3068) Prec@1 47.266 (47.308) Prec@5 70.703 (72.653)
Epoch: [92][1160/5005] Time 0.204 (0.211) Data 0.044 (0.049) Loss 2.4508 (2.3066) Prec@1 46.094 (47.312) Prec@5 69.141 (72.654)
Epoch: [92][1170/5005] Time 0.208 (0.211) Data 0.042 (0.049) Loss 2.1870 (2.3065) Prec@1 49.609 (47.325) Prec@5 75.000 (72.653)
Epoch: [92][1180/5005] Time 0.211 (0.211) Data 0.043 (0.049) Loss 2.4260 (2.3066) Prec@1 44.922 (47.307) Prec@5 71.094 (72.649)
Epoch: [92][1190/5005] Time 0.210 (0.211) Data 0.045 (0.049) Loss 2.2124 (2.3063) Prec@1 50.000 (47.311) Prec@5 72.656 (72.648)
Epoch: [92][1200/5005] Time 0.213 (0.211) Data 0.043 (0.049) Loss 2.3539 (2.3062) Prec@1 47.266 (47.315) Prec@5 72.266 (72.658)
Epoch: [92][1210/5005] Time 0.209 (0.211) Data 0.042 (0.049) Loss 2.2722 (2.3065) Prec@1 47.266 (47.311) Prec@5 73.828 (72.661)
Epoch: [92][1220/5005] Time 0.207 (0.211) Data 0.042 (0.049) Loss 2.3501 (2.3066) Prec@1 44.531 (47.311) Prec@5 72.266 (72.664)
Epoch: [92][1230/5005] Time 0.215 (0.211) Data 0.046 (0.049) Loss 2.3847 (2.3067) Prec@1 50.000 (47.296) Prec@5 71.094 (72.668)
Epoch: [92][1240/5005] Time 0.207 (0.211) Data 0.050 (0.049) Loss 2.3348 (2.3065) Prec@1 47.656 (47.294) Prec@5 71.484 (72.668)
Epoch: [92][1250/5005] Time 0.205 (0.211) Data 0.043 (0.049) Loss 2.5890 (2.3071) Prec@1 44.531 (47.288) Prec@5 67.969 (72.657)
Epoch: [92][1260/5005] Time 0.210 (0.211) Data 0.045 (0.049) Loss 2.0304 (2.3064) Prec@1 51.953 (47.295) Prec@5 73.828 (72.664)
Epoch: [92][1270/5005] Time 0.199 (0.211) Data 0.044 (0.049) Loss 2.4893 (2.3072) Prec@1 47.656 (47.288) Prec@5 72.656 (72.654)
Epoch: [92][1280/5005] Time 0.207 (0.211) Data 0.039 (0.049) Loss 2.3606 (2.3076) Prec@1 48.047 (47.283) Prec@5 71.484 (72.647)
Epoch: [92][1290/5005] Time 0.210 (0.211) Data 0.043 (0.049) Loss 2.1145 (2.3073) Prec@1 53.125 (47.286) Prec@5 76.172 (72.649)
Epoch: [92][1300/5005] Time 0.211 (0.211) Data 0.044 (0.049) Loss 2.2507 (2.3071) Prec@1 51.953 (47.291) Prec@5 73.438 (72.649)
Epoch: [92][1310/5005] Time 0.204 (0.211) Data 0.044 (0.048) Loss 2.2935 (2.3069) Prec@1 47.266 (47.291) Prec@5 76.172 (72.661)
Epoch: [92][1320/5005] Time 0.213 (0.211) Data 0.044 (0.048) Loss 2.3964 (2.3069) Prec@1 48.828 (47.290) Prec@5 70.703 (72.657)
Epoch: [92][1330/5005] Time 0.211 (0.211) Data 0.043 (0.048) Loss 2.5449 (2.3072) Prec@1 46.875 (47.294) Prec@5 68.359 (72.653)
Epoch: [92][1340/5005] Time 0.213 (0.211) Data 0.041 (0.048) Loss 2.2452 (2.3071) Prec@1 48.828 (47.306) Prec@5 71.875 (72.649)
Epoch: [92][1350/5005] Time 0.208 (0.211) Data 0.043 (0.048) Loss 2.7518 (2.3074) Prec@1 44.531 (47.301) Prec@5 67.578 (72.639)
Epoch: [92][1360/5005] Time 0.213 (0.211) Data 0.044 (0.048) Loss 2.1796 (2.3073) Prec@1 47.656 (47.300) Prec@5 74.219 (72.639)
Epoch: [92][1370/5005] Time 0.214 (0.211) Data 0.039 (0.048) Loss 2.3044 (2.3068) Prec@1 49.609 (47.309) Prec@5 75.391 (72.646)
Epoch: [92][1380/5005] Time 0.202 (0.211) Data 0.059 (0.048) Loss 2.2034 (2.3065) Prec@1 49.219 (47.318) Prec@5 74.609 (72.654)
Epoch: [92][1390/5005] Time 0.217 (0.211) Data 0.049 (0.048) Loss 2.4164 (2.3066) Prec@1 47.266 (47.323) Prec@5 73.047 (72.653)
Epoch: [92][1400/5005] Time 0.201 (0.211) Data 0.064 (0.048) Loss 2.4227 (2.3061) Prec@1 42.969 (47.326) Prec@5 68.359 (72.664)
Epoch: [92][1410/5005] Time 0.195 (0.211) Data 0.062 (0.048) Loss 2.2411 (2.3060) Prec@1 48.047 (47.332) Prec@5 74.219 (72.669)
Epoch: [92][1420/5005] Time 0.215 (0.211) Data 0.049 (0.048) Loss 2.4535 (2.3062) Prec@1 43.359 (47.328) Prec@5 70.312 (72.663)
Epoch: [92][1430/5005] Time 0.205 (0.211) Data 0.045 (0.048) Loss 1.9511 (2.3057) Prec@1 49.219 (47.337) Prec@5 78.125 (72.675)
Epoch: [92][1440/5005] Time 0.213 (0.211) Data 0.042 (0.048) Loss 2.0833 (2.3054) Prec@1 52.734 (47.337) Prec@5 78.125 (72.675)
Epoch: [92][1450/5005] Time 0.210 (0.211) Data 0.048 (0.048) Loss 2.3388 (2.3054) Prec@1 44.922 (47.333) Prec@5 68.359 (72.671)
Epoch: [92][1460/5005] Time 0.206 (0.211) Data 0.041 (0.048) Loss 2.3195 (2.3052) Prec@1 43.359 (47.330) Prec@5 72.656 (72.680)
Epoch: [92][1470/5005] Time 0.210 (0.211) Data 0.043 (0.048) Loss 2.3567 (2.3054) Prec@1 50.391 (47.334) Prec@5 73.828 (72.672)
Epoch: [92][1480/5005] Time 0.217 (0.211) Data 0.045 (0.048) Loss 1.9721 (2.3053) Prec@1 55.078 (47.334) Prec@5 79.688 (72.674)
Epoch: [92][1490/5005] Time 0.201 (0.211) Data 0.046 (0.048) Loss 2.5043 (2.3049) Prec@1 44.531 (47.342) Prec@5 69.141 (72.678)
Epoch: [92][1500/5005] Time 0.195 (0.211) Data 0.046 (0.048) Loss 2.2932 (2.3046) Prec@1 49.219 (47.353) Prec@5 72.656 (72.689)
Epoch: [92][1510/5005] Time 0.213 (0.211) Data 0.043 (0.048) Loss 2.2178 (2.3044) Prec@1 46.875 (47.359) Prec@5 70.703 (72.690)
Epoch: [92][1520/5005] Time 0.202 (0.211) Data 0.048 (0.048) Loss 2.3661 (2.3043) Prec@1 47.266 (47.358) Prec@5 70.703 (72.689)
Epoch: [92][1530/5005] Time 0.205 (0.211) Data 0.042 (0.048) Loss 2.4291 (2.3044) Prec@1 45.312 (47.358) Prec@5 70.312 (72.682)
Epoch: [92][1540/5005] Time 0.197 (0.211) Data 0.048 (0.048) Loss 2.3751 (2.3045) Prec@1 42.188 (47.352) Prec@5 69.922 (72.678)
Epoch: [92][1550/5005] Time 0.207 (0.211) Data 0.067 (0.048) Loss 2.2457 (2.3042) Prec@1 48.047 (47.357) Prec@5 74.609 (72.684)
Epoch: [92][1560/5005] Time 0.215 (0.211) Data 0.046 (0.048) Loss 2.1844 (2.3043) Prec@1 48.047 (47.357) Prec@5 72.656 (72.682)
Epoch: [92][1570/5005] Time 0.217 (0.211) Data 0.042 (0.048) Loss 2.1606 (2.3040) Prec@1 51.953 (47.368) Prec@5 78.516 (72.693)
Epoch: [92][1580/5005] Time 0.214 (0.211) Data 0.061 (0.048) Loss 2.2735 (2.3044) Prec@1 45.703 (47.362) Prec@5 74.609 (72.686)
Epoch: [92][1590/5005] Time 0.204 (0.211) Data 0.044 (0.048) Loss 2.2988 (2.3046) Prec@1 46.875 (47.361) Prec@5 72.266 (72.683)
Epoch: [92][1600/5005] Time 0.197 (0.211) Data 0.045 (0.048) Loss 2.3603 (2.3045) Prec@1 45.312 (47.362) Prec@5 71.484 (72.691)
Epoch: [92][1610/5005] Time 0.214 (0.211) Data 0.044 (0.048) Loss 2.3809 (2.3046) Prec@1 47.656 (47.354) Prec@5 71.094 (72.690)
Epoch: [92][1620/5005] Time 0.209 (0.211) Data 0.047 (0.048) Loss 2.4427 (2.3043) Prec@1 48.047 (47.359) Prec@5 73.047 (72.697)
Epoch: [92][1630/5005] Time 0.198 (0.211) Data 0.061 (0.048) Loss 2.1949 (2.3041) Prec@1 46.875 (47.360) Prec@5 74.219 (72.695)
Epoch: [92][1640/5005] Time 0.204 (0.211) Data 0.046 (0.048) Loss 2.4194 (2.3044) Prec@1 48.438 (47.358) Prec@5 70.312 (72.695)
Epoch: [92][1650/5005] Time 0.215 (0.211) Data 0.043 (0.048) Loss 2.3881 (2.3043) Prec@1 44.141 (47.362) Prec@5 68.750 (72.698)
Epoch: [92][1660/5005] Time 0.212 (0.211) Data 0.041 (0.048) Loss 2.2245 (2.3039) Prec@1 48.828 (47.378) Prec@5 73.047 (72.705)
Epoch: [92][1670/5005] Time 0.211 (0.211) Data 0.040 (0.048) Loss 2.0489 (2.3040) Prec@1 51.562 (47.380) Prec@5 73.438 (72.702)
Epoch: [92][1680/5005] Time 0.207 (0.211) Data 0.051 (0.048) Loss 2.3457 (2.3041) Prec@1 49.609 (47.382) Prec@5 70.703 (72.699)
Epoch: [92][1690/5005] Time 0.207 (0.211) Data 0.045 (0.048) Loss 2.1339 (2.3036) Prec@1 51.172 (47.392) Prec@5 76.953 (72.708)
Epoch: [92][1700/5005] Time 0.210 (0.211) Data 0.045 (0.048) Loss 2.2892 (2.3034) Prec@1 48.828 (47.397) Prec@5 73.438 (72.712)
Epoch: [92][1710/5005] Time 0.209 (0.211) Data 0.048 (0.048) Loss 2.2638 (2.3029) Prec@1 46.484 (47.402) Prec@5 71.094 (72.720)
Epoch: [92][1720/5005] Time 0.209 (0.211) Data 0.050 (0.048) Loss 2.4836 (2.3031) Prec@1 46.094 (47.397) Prec@5 73.047 (72.722)
Epoch: [92][1730/5005] Time 0.220 (0.211) Data 0.049 (0.048) Loss 2.3101 (2.3029) Prec@1 47.266 (47.397) Prec@5 71.875 (72.720)
Epoch: [92][1740/5005] Time 0.200 (0.210) Data 0.045 (0.048) Loss 2.5684 (2.3027) Prec@1 40.234 (47.399) Prec@5 66.797 (72.722)
Epoch: [92][1750/5005] Time 0.206 (0.210) Data 0.047 (0.048) Loss 2.2609 (2.3025) Prec@1 46.484 (47.401) Prec@5 74.219 (72.727)
Epoch: [92][1760/5005] Time 0.205 (0.210) Data 0.059 (0.048) Loss 2.0841 (2.3025) Prec@1 51.562 (47.405) Prec@5 78.906 (72.729)
Epoch: [92][1770/5005] Time 0.219 (0.210) Data 0.043 (0.048) Loss 2.3551 (2.3023) Prec@1 44.922 (47.411) Prec@5 71.484 (72.731)
Epoch: [92][1780/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.2913 (2.3022) Prec@1 41.797 (47.409) Prec@5 73.438 (72.732)
Epoch: [92][1790/5005] Time 0.210 (0.210) Data 0.041 (0.048) Loss 2.1856 (2.3021) Prec@1 50.000 (47.407) Prec@5 74.609 (72.733)
Epoch: [92][1800/5005] Time 0.204 (0.210) Data 0.045 (0.048) Loss 2.2115 (2.3017) Prec@1 50.391 (47.414) Prec@5 76.172 (72.741)
Epoch: [92][1810/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.0984 (2.3014) Prec@1 49.219 (47.419) Prec@5 74.219 (72.747)
Epoch: [92][1820/5005] Time 0.204 (0.210) Data 0.047 (0.048) Loss 2.4477 (2.3015) Prec@1 42.188 (47.414) Prec@5 72.656 (72.749)
Epoch: [92][1830/5005] Time 0.209 (0.210) Data 0.042 (0.048) Loss 2.1501 (2.3012) Prec@1 52.734 (47.425) Prec@5 75.781 (72.755)
Epoch: [92][1840/5005] Time 0.209 (0.210) Data 0.048 (0.048) Loss 2.4468 (2.3012) Prec@1 42.578 (47.424) Prec@5 71.484 (72.753)
Epoch: [92][1850/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.3076 (2.3009) Prec@1 46.875 (47.432) Prec@5 76.172 (72.762)
Epoch: [92][1860/5005] Time 0.213 (0.210) Data 0.044 (0.048) Loss 2.3287 (2.3011) Prec@1 48.438 (47.431) Prec@5 70.312 (72.759)
Epoch: [92][1870/5005] Time 0.210 (0.210) Data 0.049 (0.048) Loss 2.3764 (2.3013) Prec@1 43.359 (47.427) Prec@5 74.219 (72.758)
Epoch: [92][1880/5005] Time 0.208 (0.210) Data 0.058 (0.048) Loss 2.3078 (2.3015) Prec@1 48.828 (47.420) Prec@5 73.438 (72.758)
Epoch: [92][1890/5005] Time 0.214 (0.210) Data 0.047 (0.048) Loss 2.2829 (2.3015) Prec@1 50.000 (47.422) Prec@5 72.266 (72.754)
Epoch: [92][1900/5005] Time 0.197 (0.210) Data 0.054 (0.048) Loss 2.3206 (2.3020) Prec@1 46.875 (47.415) Prec@5 73.828 (72.748)
Epoch: [92][1910/5005] Time 0.212 (0.210) Data 0.042 (0.048) Loss 2.2501 (2.3020) Prec@1 47.656 (47.409) Prec@5 76.172 (72.747)
Epoch: [92][1920/5005] Time 0.208 (0.210) Data 0.065 (0.048) Loss 2.2193 (2.3020) Prec@1 48.047 (47.405) Prec@5 72.656 (72.748)
Epoch: [92][1930/5005] Time 0.201 (0.210) Data 0.047 (0.048) Loss 2.2617 (2.3018) Prec@1 48.828 (47.408) Prec@5 74.609 (72.753)
Epoch: [92][1940/5005] Time 0.205 (0.210) Data 0.039 (0.048) Loss 2.2461 (2.3015) Prec@1 47.656 (47.411) Prec@5 73.047 (72.756)
Epoch: [92][1950/5005] Time 0.211 (0.210) Data 0.047 (0.048) Loss 2.3247 (2.3015) Prec@1 41.406 (47.407) Prec@5 71.094 (72.760)
Epoch: [92][1960/5005] Time 0.208 (0.210) Data 0.057 (0.048) Loss 2.3025 (2.3012) Prec@1 45.703 (47.412) Prec@5 71.875 (72.764)
Epoch: [92][1970/5005] Time 0.208 (0.210) Data 0.044 (0.048) Loss 2.2387 (2.3014) Prec@1 44.531 (47.410) Prec@5 69.531 (72.757)
Epoch: [92][1980/5005] Time 0.214 (0.210) Data 0.044 (0.048) Loss 2.0783 (2.3014) Prec@1 53.516 (47.408) Prec@5 73.047 (72.761)
Epoch: [92][1990/5005] Time 0.203 (0.210) Data 0.071 (0.048) Loss 2.1069 (2.3010) Prec@1 50.391 (47.415) Prec@5 74.609 (72.767)
Epoch: [92][2000/5005] Time 0.205 (0.210) Data 0.050 (0.048) Loss 2.1605 (2.3013) Prec@1 51.172 (47.413) Prec@5 77.734 (72.763)
Epoch: [92][2010/5005] Time 0.195 (0.210) Data 0.059 (0.048) Loss 2.1530 (2.3013) Prec@1 49.609 (47.409) Prec@5 73.828 (72.760)
Epoch: [92][2020/5005] Time 0.187 (0.210) Data 0.061 (0.048) Loss 2.2599 (2.3013) Prec@1 46.094 (47.408) Prec@5 75.000 (72.758)
Epoch: [92][2030/5005] Time 0.205 (0.210) Data 0.048 (0.048) Loss 2.3956 (2.3014) Prec@1 42.969 (47.410) Prec@5 71.875 (72.754)
Epoch: [92][2040/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 1.9899 (2.3010) Prec@1 51.562 (47.419) Prec@5 76.953 (72.762)
Epoch: [92][2050/5005] Time 0.212 (0.210) Data 0.042 (0.048) Loss 2.3187 (2.3008) Prec@1 44.531 (47.420) Prec@5 68.750 (72.766)
Epoch: [92][2060/5005] Time 0.205 (0.210) Data 0.040 (0.048) Loss 2.2659 (2.3008) Prec@1 46.484 (47.415) Prec@5 71.484 (72.765)
Epoch: [92][2070/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.5612 (2.3009) Prec@1 44.141 (47.412) Prec@5 65.234 (72.760)
Epoch: [92][2080/5005] Time 0.210 (0.210) Data 0.042 (0.048) Loss 2.3959 (2.3009) Prec@1 43.750 (47.413) Prec@5 72.266 (72.756)
Epoch: [92][2090/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.2352 (2.3003) Prec@1 46.484 (47.422) Prec@5 76.562 (72.764)
Epoch: [92][2100/5005] Time 0.208 (0.210) Data 0.044 (0.048) Loss 2.3129 (2.3001) Prec@1 43.359 (47.415) Prec@5 71.875 (72.764)
Epoch: [92][2110/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.0718 (2.3003) Prec@1 53.906 (47.415) Prec@5 77.344 (72.765)
Epoch: [92][2120/5005] Time 0.211 (0.210) Data 0.046 (0.048) Loss 2.2062 (2.3000) Prec@1 51.562 (47.424) Prec@5 75.000 (72.772)
Epoch: [92][2130/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.2769 (2.2994) Prec@1 44.922 (47.433) Prec@5 73.438 (72.783)
Epoch: [92][2140/5005] Time 0.210 (0.210) Data 0.041 (0.048) Loss 2.2228 (2.2994) Prec@1 51.172 (47.437) Prec@5 73.828 (72.783)
Epoch: [92][2150/5005] Time 0.214 (0.210) Data 0.043 (0.048) Loss 2.1699 (2.2994) Prec@1 51.953 (47.439) Prec@5 73.047 (72.782)
Epoch: [92][2160/5005] Time 0.207 (0.210) Data 0.043 (0.048) Loss 2.2723 (2.2994) Prec@1 48.828 (47.434) Prec@5 76.562 (72.785)
Epoch: [92][2170/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.1236 (2.2991) Prec@1 48.047 (47.438) Prec@5 75.781 (72.792)
Epoch: [92][2180/5005] Time 0.192 (0.210) Data 0.044 (0.048) Loss 2.2984 (2.2991) Prec@1 50.781 (47.441) Prec@5 70.312 (72.792)
Epoch: [92][2190/5005] Time 0.209 (0.210) Data 0.042 (0.048) Loss 2.6523 (2.2992) Prec@1 45.312 (47.442) Prec@5 64.453 (72.788)
Epoch: [92][2200/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.3398 (2.2994) Prec@1 42.969 (47.436) Prec@5 70.703 (72.787)
Epoch: [92][2210/5005] Time 0.205 (0.210) Data 0.042 (0.048) Loss 2.4354 (2.2997) Prec@1 45.312 (47.431) Prec@5 72.266 (72.781)
Epoch: [92][2220/5005] Time 0.194 (0.210) Data 0.057 (0.048) Loss 2.4746 (2.2997) Prec@1 46.875 (47.430) Prec@5 69.531 (72.780)
Epoch: [92][2230/5005] Time 0.207 (0.210) Data 0.046 (0.048) Loss 2.2708 (2.2998) Prec@1 47.266 (47.425) Prec@5 73.828 (72.779)
Epoch: [92][2240/5005] Time 0.210 (0.210) Data 0.053 (0.048) Loss 2.2449 (2.2999) Prec@1 51.172 (47.421) Prec@5 76.172 (72.781)
Epoch: [92][2250/5005] Time 0.205 (0.210) Data 0.045 (0.048) Loss 2.1789 (2.2997) Prec@1 48.047 (47.421) Prec@5 72.266 (72.782)
Epoch: [92][2260/5005] Time 0.209 (0.210) Data 0.046 (0.048) Loss 2.2460 (2.2995) Prec@1 45.703 (47.423) Prec@5 69.922 (72.784)
Epoch: [92][2270/5005] Time 0.209 (0.210) Data 0.044 (0.048) Loss 2.3379 (2.2992) Prec@1 44.531 (47.425) Prec@5 74.219 (72.787)
Epoch: [92][2280/5005] Time 0.206 (0.210) Data 0.044 (0.048) Loss 2.2634 (2.2991) Prec@1 50.391 (47.426) Prec@5 73.047 (72.793)
Epoch: [92][2290/5005] Time 0.210 (0.210) Data 0.052 (0.048) Loss 2.1879 (2.2990) Prec@1 49.219 (47.427) Prec@5 72.656 (72.792)
Epoch: [92][2300/5005] Time 0.202 (0.210) Data 0.039 (0.048) Loss 2.2323 (2.2990) Prec@1 46.875 (47.433) Prec@5 75.391 (72.793)
Epoch: [92][2310/5005] Time 0.207 (0.210) Data 0.047 (0.048) Loss 2.1051 (2.2987) Prec@1 51.172 (47.434) Prec@5 73.438 (72.796)
Epoch: [92][2320/5005] Time 0.210 (0.210) Data 0.047 (0.048) Loss 2.4113 (2.2988) Prec@1 47.656 (47.433) Prec@5 71.484 (72.799)
Epoch: [92][2330/5005] Time 0.194 (0.210) Data 0.050 (0.048) Loss 2.3655 (2.2987) Prec@1 43.750 (47.434) Prec@5 70.703 (72.800)
Epoch: [92][2340/5005] Time 0.202 (0.210) Data 0.062 (0.048) Loss 2.3299 (2.2984) Prec@1 46.875 (47.439) Prec@5 71.875 (72.807)
Epoch: [92][2350/5005] Time 0.216 (0.210) Data 0.047 (0.048) Loss 2.3546 (2.2982) Prec@1 43.359 (47.438) Prec@5 70.312 (72.809)
Epoch: [92][2360/5005] Time 0.200 (0.210) Data 0.048 (0.048) Loss 2.2542 (2.2983) Prec@1 48.438 (47.443) Prec@5 72.266 (72.805)
Epoch: [92][2370/5005] Time 0.212 (0.210) Data 0.049 (0.048) Loss 2.3304 (2.2985) Prec@1 46.875 (47.439) Prec@5 73.047 (72.804)
Epoch: [92][2380/5005] Time 0.204 (0.210) Data 0.046 (0.048) Loss 2.2903 (2.2983) Prec@1 49.219 (47.441) Prec@5 71.875 (72.807)
Epoch: [92][2390/5005] Time 0.205 (0.210) Data 0.055 (0.048) Loss 2.3073 (2.2982) Prec@1 45.703 (47.442) Prec@5 75.391 (72.810)
Epoch: [92][2400/5005] Time 0.214 (0.210) Data 0.043 (0.048) Loss 2.1507 (2.2982) Prec@1 52.344 (47.438) Prec@5 76.172 (72.807)
Epoch: [92][2410/5005] Time 0.209 (0.210) Data 0.047 (0.048) Loss 2.5261 (2.2983) Prec@1 45.312 (47.433) Prec@5 71.094 (72.806)
Epoch: [92][2420/5005] Time 0.207 (0.210) Data 0.053 (0.048) Loss 2.3851 (2.2980) Prec@1 48.047 (47.441) Prec@5 72.656 (72.809)
Epoch: [92][2430/5005] Time 0.205 (0.210) Data 0.047 (0.048) Loss 2.1810 (2.2980) Prec@1 48.438 (47.442) Prec@5 73.828 (72.806)
Epoch: [92][2440/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.1462 (2.2980) Prec@1 50.391 (47.446) Prec@5 75.000 (72.806)
Epoch: [92][2450/5005] Time 0.218 (0.210) Data 0.047 (0.048) Loss 2.1929 (2.2978) Prec@1 51.172 (47.454) Prec@5 74.609 (72.809)
Epoch: [92][2460/5005] Time 0.212 (0.210) Data 0.048 (0.048) Loss 2.2240 (2.2975) Prec@1 45.703 (47.453) Prec@5 75.391 (72.813)
Epoch: [92][2470/5005] Time 0.209 (0.210) Data 0.048 (0.048) Loss 2.1200 (2.2973) Prec@1 51.953 (47.457) Prec@5 74.219 (72.814)
Epoch: [92][2480/5005] Time 0.216 (0.210) Data 0.043 (0.048) Loss 2.3194 (2.2975) Prec@1 49.219 (47.454) Prec@5 71.484 (72.809)
Epoch: [92][2490/5005] Time 0.216 (0.210) Data 0.044 (0.048) Loss 2.2032 (2.2977) Prec@1 49.609 (47.453) Prec@5 73.828 (72.809)
Epoch: [92][2500/5005] Time 0.210 (0.210) Data 0.048 (0.048) Loss 2.2207 (2.2976) Prec@1 48.438 (47.452) Prec@5 74.609 (72.813)
Epoch: [92][2510/5005] Time 0.202 (0.210) Data 0.042 (0.048) Loss 2.3925 (2.2976) Prec@1 46.875 (47.447) Prec@5 74.219 (72.816)
Epoch: [92][2520/5005] Time 0.204 (0.210) Data 0.046 (0.048) Loss 2.2316 (2.2975) Prec@1 50.000 (47.448) Prec@5 73.438 (72.817)
Epoch: [92][2530/5005] Time 0.206 (0.210) Data 0.054 (0.048) Loss 2.4705 (2.2975) Prec@1 43.750 (47.449) Prec@5 70.312 (72.818)
Epoch: [92][2540/5005] Time 0.214 (0.210) Data 0.047 (0.048) Loss 2.2712 (2.2975) Prec@1 45.312 (47.448) Prec@5 71.484 (72.819)
Epoch: [92][2550/5005] Time 0.211 (0.210) Data 0.045 (0.048) Loss 2.3802 (2.2975) Prec@1 44.141 (47.447) Prec@5 71.484 (72.819)
Epoch: [92][2560/5005] Time 0.207 (0.210) Data 0.042 (0.048) Loss 2.5193 (2.2977) Prec@1 42.969 (47.444) Prec@5 67.188 (72.816)
Epoch: [92][2570/5005] Time 0.200 (0.210) Data 0.039 (0.048) Loss 2.3309 (2.2977) Prec@1 46.484 (47.442) Prec@5 71.484 (72.817)
Epoch: [92][2580/5005] Time 0.206 (0.210) Data 0.049 (0.048) Loss 2.4105 (2.2982) Prec@1 46.484 (47.435) Prec@5 69.922 (72.810)
Epoch: [92][2590/5005] Time 0.215 (0.210) Data 0.043 (0.048) Loss 2.4503 (2.2980) Prec@1 45.703 (47.439) Prec@5 69.141 (72.811)
Epoch: [92][2600/5005] Time 0.211 (0.210) Data 0.046 (0.048) Loss 2.3176 (2.2983) Prec@1 46.484 (47.432) Prec@5 70.703 (72.804)
Epoch: [92][2610/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.4227 (2.2980) Prec@1 46.484 (47.441) Prec@5 69.922 (72.807)
Epoch: [92][2620/5005] Time 0.208 (0.210) Data 0.043 (0.048) Loss 2.3173 (2.2981) Prec@1 43.750 (47.437) Prec@5 71.094 (72.809)
Epoch: [92][2630/5005] Time 0.204 (0.210) Data 0.042 (0.048) Loss 2.4896 (2.2984) Prec@1 42.578 (47.433) Prec@5 69.531 (72.802)
Epoch: [92][2640/5005] Time 0.213 (0.210) Data 0.045 (0.048) Loss 2.3699 (2.2985) Prec@1 46.484 (47.431) Prec@5 71.875 (72.802)
Epoch: [92][2650/5005] Time 0.205 (0.210) Data 0.043 (0.048) Loss 2.4784 (2.2985) Prec@1 45.703 (47.432) Prec@5 67.578 (72.798)
Epoch: [92][2660/5005] Time 0.203 (0.210) Data 0.044 (0.048) Loss 2.2494 (2.2984) Prec@1 49.219 (47.435) Prec@5 74.219 (72.798)
Epoch: [92][2670/5005] Time 0.211 (0.210) Data 0.046 (0.048) Loss 2.1205 (2.2980) Prec@1 49.219 (47.444) Prec@5 73.438 (72.801)
Epoch: [92][2680/5005] Time 0.202 (0.210) Data 0.049 (0.048) Loss 2.0982 (2.2979) Prec@1 53.516 (47.443) Prec@5 75.781 (72.805)
Epoch: [92][2690/5005] Time 0.214 (0.210) Data 0.046 (0.048) Loss 2.2197 (2.2979) Prec@1 44.922 (47.443) Prec@5 74.219 (72.804)
Epoch: [92][2700/5005] Time 0.208 (0.210) Data 0.041 (0.048) Loss 2.3096 (2.2980) Prec@1 48.047 (47.440) Prec@5 71.484 (72.805)
Epoch: [92][2710/5005] Time 0.199 (0.210) Data 0.043 (0.048) Loss 2.0779 (2.2981) Prec@1 50.781 (47.435) Prec@5 75.781 (72.806)
Epoch: [92][2720/5005] Time 0.203 (0.210) Data 0.054 (0.048) Loss 2.1249 (2.2981) Prec@1 51.953 (47.434) Prec@5 77.734 (72.808)
Epoch: [92][2730/5005] Time 0.208 (0.210) Data 0.048 (0.048) Loss 2.3433 (2.2979) Prec@1 49.219 (47.438) Prec@5 69.922 (72.813)
Epoch: [92][2740/5005] Time 0.204 (0.210) Data 0.062 (0.048) Loss 2.2542 (2.2978) Prec@1 50.000 (47.438) Prec@5 74.609 (72.814)
Epoch: [92][2750/5005] Time 0.196 (0.210) Data 0.063 (0.048) Loss 2.3336 (2.2979) Prec@1 43.359 (47.436) Prec@5 70.703 (72.812)
Epoch: [92][2760/5005] Time 0.216 (0.210) Data 0.046 (0.048) Loss 2.2584 (2.2978) Prec@1 49.219 (47.440) Prec@5 73.438 (72.816)
Epoch: [92][2770/5005] Time 0.212 (0.210) Data 0.055 (0.048) Loss 2.2794 (2.2978) Prec@1 49.609 (47.437) Prec@5 73.047 (72.816)
Epoch: [92][2780/5005] Time 0.208 (0.210) Data 0.045 (0.048) Loss 2.6154 (2.2979) Prec@1 41.016 (47.434) Prec@5 68.359 (72.812)
Epoch: [92][2790/5005] Time 0.204 (0.210) Data 0.048 (0.048) Loss 2.6060 (2.2978) Prec@1 41.016 (47.437) Prec@5 67.969 (72.813)
Epoch: [92][2800/5005] Time 0.210 (0.210) Data 0.046 (0.048) Loss 2.1654 (2.2979) Prec@1 52.344 (47.437) Prec@5 74.219 (72.814)
Epoch: [92][2810/5005] Time 0.224 (0.210) Data 0.046 (0.048) Loss 2.4743 (2.2981) Prec@1 47.656 (47.436) Prec@5 71.094 (72.810)
Epoch: [92][2820/5005] Time 0.217 (0.209) Data 0.047 (0.048) Loss 2.0468 (2.2979) Prec@1 47.266 (47.437) Prec@5 75.781 (72.812)
Epoch: [92][2830/5005] Time 0.213 (0.210) Data 0.062 (0.048) Loss 2.4937 (2.2981) Prec@1 42.969 (47.435) Prec@5 69.922 (72.808)
Epoch: [92][2840/5005] Time 0.205 (0.209) Data 0.044 (0.048) Loss 2.3921 (2.2981) Prec@1 44.531 (47.435) Prec@5 71.484 (72.808)
Epoch: [92][2850/5005] Time 0.196 (0.209) Data 0.046 (0.048) Loss 2.3303 (2.2978) Prec@1 49.219 (47.441) Prec@5 72.656 (72.812)
Epoch: [92][2860/5005] Time 0.201 (0.209) Data 0.045 (0.048) Loss 2.3129 (2.2980) Prec@1 48.047 (47.441) Prec@5 73.047 (72.811)
Epoch: [92][2870/5005] Time 0.209 (0.209) Data 0.048 (0.048) Loss 2.2368 (2.2977) Prec@1 48.438 (47.446) Prec@5 73.828 (72.816)
Epoch: [92][2880/5005] Time 0.207 (0.209) Data 0.044 (0.048) Loss 2.3159 (2.2977) Prec@1 44.922 (47.442) Prec@5 73.047 (72.816)
Epoch: [92][2890/5005] Time 0.199 (0.209) Data 0.047 (0.048) Loss 2.2865 (2.2976) Prec@1 45.703 (47.446) Prec@5 73.047 (72.817)
Epoch: [92][2900/5005] Time 0.199 (0.209) Data 0.060 (0.048) Loss 2.0901 (2.2974) Prec@1 50.781 (47.452) Prec@5 74.609 (72.821)
Epoch: [92][2910/5005] Time 0.211 (0.209) Data 0.051 (0.048) Loss 2.2908 (2.2975) Prec@1 44.141 (47.448) Prec@5 76.172 (72.820)
Epoch: [92][2920/5005] Time 0.194 (0.209) Data 0.046 (0.048) Loss 2.4879 (2.2974) Prec@1 42.188 (47.450) Prec@5 69.141 (72.822)
Epoch: [92][2930/5005] Time 0.199 (0.209) Data 0.065 (0.048) Loss 2.4077 (2.2972) Prec@1 45.312 (47.455) Prec@5 69.141 (72.821)
Epoch: [92][2940/5005] Time 0.206 (0.209) Data 0.050 (0.048) Loss 2.3481 (2.2970) Prec@1 48.438 (47.462) Prec@5 72.266 (72.826)
Epoch: [92][2950/5005] Time 0.207 (0.209) Data 0.046 (0.048) Loss 2.2764 (2.2967) Prec@1 45.703 (47.468) Prec@5 74.609 (72.826)
Epoch: [92][2960/5005] Time 0.208 (0.209) Data 0.046 (0.048) Loss 2.2278 (2.2965) Prec@1 49.219 (47.471) Prec@5 72.266 (72.829)
Epoch: [92][2970/5005] Time 0.213 (0.209) Data 0.045 (0.048) Loss 2.3715 (2.2965) Prec@1 41.797 (47.470) Prec@5 70.703 (72.832)
Epoch: [92][2980/5005] Time 0.204 (0.209) Data 0.046 (0.048) Loss 2.4828 (2.2966) Prec@1 43.750 (47.469) Prec@5 69.531 (72.832)
Epoch: [92][2990/5005] Time 0.212 (0.209) Data 0.042 (0.048) Loss 2.3778 (2.2966) Prec@1 49.609 (47.467) Prec@5 70.703 (72.832)
Epoch: [92][3000/5005] Time 0.212 (0.209) Data 0.046 (0.048) Loss 2.2794 (2.2964) Prec@1 46.875 (47.467) Prec@5 75.000 (72.835)
Epoch: [92][3010/5005] Time 0.198 (0.209) Data 0.051 (0.048) Loss 2.1678 (2.2964) Prec@1 50.781 (47.467) Prec@5 73.047 (72.833)
Epoch: [92][3020/5005] Time 0.199 (0.209) Data 0.047 (0.048) Loss 2.1584 (2.2965) Prec@1 46.875 (47.466) Prec@5 73.438 (72.828)
Epoch: [92][3030/5005] Time 0.202 (0.209) Data 0.045 (0.048) Loss 2.3589 (2.2965) Prec@1 48.047 (47.469) Prec@5 73.047 (72.830)
Epoch: [92][3040/5005] Time 0.197 (0.209) Data 0.047 (0.048) Loss 2.0364 (2.2964) Prec@1 52.344 (47.473) Prec@5 75.391 (72.830)
Epoch: [92][3050/5005] Time 0.208 (0.209) Data 0.044 (0.048) Loss 2.1255 (2.2964) Prec@1 47.266 (47.472) Prec@5 76.953 (72.830)
Epoch: [92][3060/5005] Time 0.208 (0.209) Data 0.043 (0.048) Loss 2.1654 (2.2963) Prec@1 50.000 (47.474) Prec@5 75.391 (72.834)
Epoch: [92][3070/5005] Time 0.220 (0.209) Data 0.042 (0.048) Loss 2.2195 (2.2964) Prec@1 46.094 (47.471) Prec@5 74.219 (72.832)
Epoch: [92][3080/5005] Time 0.206 (0.209) Data 0.049 (0.048) Loss 2.2051 (2.2965) Prec@1 48.047 (47.470) Prec@5 73.828 (72.833)
Epoch: [92][3090/5005] Time 0.200 (0.209) Data 0.062 (0.048) Loss 2.6061 (2.2965) Prec@1 39.453 (47.469) Prec@5 66.016 (72.833)
Epoch: [92][3100/5005] Time 0.202 (0.209) Data 0.047 (0.048) Loss 2.3272 (2.2966) Prec@1 44.922 (47.468) Prec@5 71.875 (72.831)
Epoch: [92][3110/5005] Time 0.213 (0.209) Data 0.044 (0.048) Loss 2.1281 (2.2964) Prec@1 47.266 (47.470) Prec@5 75.781 (72.836)
Epoch: [92][3120/5005] Time 0.199 (0.209) Data 0.042 (0.048) Loss 2.3432 (2.2963) Prec@1 44.531 (47.468) Prec@5 72.656 (72.836)
Epoch: [92][3130/5005] Time 0.207 (0.209) Data 0.044 (0.048) Loss 2.3926 (2.2961) Prec@1 46.094 (47.470) Prec@5 68.750 (72.839)
Epoch: [92][3140/5005] Time 0.199 (0.209) Data 0.067 (0.048) Loss 2.0785 (2.2960) Prec@1 51.562 (47.473) Prec@5 74.219 (72.839)
Epoch: [92][3150/5005] Time 0.208 (0.209) Data 0.044 (0.048) Loss 2.2625 (2.2958) Prec@1 47.656 (47.479) Prec@5 73.438 (72.842)
Epoch: [92][3160/5005] Time 0.200 (0.209) Data 0.050 (0.048) Loss 2.1115 (2.2958) Prec@1 54.297 (47.484) Prec@5 75.391 (72.839)
Epoch: [92][3170/5005] Time 0.212 (0.209) Data 0.041 (0.048) Loss 2.2890 (2.2959) Prec@1 45.703 (47.484) Prec@5 74.219 (72.839)
Epoch: [92][3180/5005] Time 0.203 (0.209) Data 0.043 (0.048) Loss 2.1648 (2.2960) Prec@1 51.953 (47.480) Prec@5 71.875 (72.837)
Epoch: [92][3190/5005] Time 0.201 (0.209) Data 0.051 (0.048) Loss 2.3195 (2.2959) Prec@1 49.609 (47.480) Prec@5 74.219 (72.840)
Epoch: [92][3200/5005] Time 0.196 (0.209) Data 0.056 (0.048) Loss 2.2949 (2.2959) Prec@1 48.438 (47.483) Prec@5 74.219 (72.839)
Epoch: [92][3210/5005] Time 0.212 (0.209) Data 0.044 (0.048) Loss 2.4186 (2.2959) Prec@1 46.484 (47.485) Prec@5 70.703 (72.841)
Epoch: [92][3220/5005] Time 0.198 (0.209) Data 0.063 (0.048) Loss 2.4193 (2.2959) Prec@1 45.312 (47.486) Prec@5 72.266 (72.841)
Epoch: [92][3230/5005] Time 0.214 (0.209) Data 0.040 (0.048) Loss 2.1750 (2.2957) Prec@1 51.172 (47.492) Prec@5 72.266 (72.844)
Epoch: [92][3240/5005] Time 0.208 (0.209) Data 0.052 (0.048) Loss 2.5862 (2.2962) Prec@1 40.625 (47.482) Prec@5 66.797 (72.836)
Epoch: [92][3250/5005] Time 0.207 (0.209) Data 0.045 (0.048) Loss 2.2232 (2.2962) Prec@1 52.344 (47.482) Prec@5 74.609 (72.839)
Epoch: [92][3260/5005] Time 0.208 (0.209) Data 0.053 (0.048) Loss 2.2200 (2.2960) Prec@1 50.000 (47.484) Prec@5 72.266 (72.837)
Epoch: [92][3270/5005] Time 0.207 (0.209) Data 0.067 (0.048) Loss 2.4267 (2.2959) Prec@1 44.531 (47.485) Prec@5 68.359 (72.839)
Epoch: [92][3280/5005] Time 0.212 (0.209) Data 0.050 (0.048) Loss 2.2308 (2.2960) Prec@1 48.438 (47.482) Prec@5 74.219 (72.839)
Epoch: [92][3290/5005] Time 0.210 (0.209) Data 0.045 (0.048) Loss 2.3005 (2.2959) Prec@1 48.047 (47.484) Prec@5 72.266 (72.839)
Epoch: [92][3300/5005] Time 0.212 (0.209) Data 0.047 (0.048) Loss 2.2280 (2.2958) Prec@1 50.391 (47.487) Prec@5 71.484 (72.837)
Epoch: [92][3310/5005] Time 0.207 (0.209) Data 0.046 (0.048) Loss 2.1858 (2.2958) Prec@1 51.562 (47.486) Prec@5 71.094 (72.837)
Epoch: [92][3320/5005] Time 0.203 (0.209) Data 0.054 (0.048) Loss 2.3769 (2.2958) Prec@1 50.000 (47.488) Prec@5 68.750 (72.836)
Epoch: [92][3330/5005] Time 0.218 (0.209) Data 0.052 (0.048) Loss 2.4132 (2.2958) Prec@1 42.969 (47.485) Prec@5 71.484 (72.834)
Epoch: [92][3340/5005] Time 0.196 (0.209) Data 0.050 (0.048) Loss 2.3931 (2.2959) Prec@1 44.531 (47.484) Prec@5 73.828 (72.833)
Epoch: [92][3350/5005] Time 0.210 (0.209) Data 0.062 (0.048) Loss 2.4328 (2.2958) Prec@1 45.312 (47.486) Prec@5 71.875 (72.834)
Epoch: [92][3360/5005] Time 0.202 (0.209) Data 0.053 (0.048) Loss 2.2430 (2.2958) Prec@1 49.219 (47.487) Prec@5 75.391 (72.836)
Epoch: [92][3370/5005] Time 0.208 (0.209) Data 0.044 (0.048) Loss 2.3299 (2.2958) Prec@1 46.484 (47.486) Prec@5 70.703 (72.836)
Epoch: [92][3380/5005] Time 0.204 (0.209) Data 0.046 (0.048) Loss 2.0997 (2.2957) Prec@1 54.297 (47.487) Prec@5 74.219 (72.837)
Epoch: [92][3390/5005] Time 0.209 (0.209) Data 0.046 (0.048) Loss 2.1836 (2.2958) Prec@1 51.562 (47.484) Prec@5 74.609 (72.836)
Epoch: [92][3400/5005] Time 0.202 (0.209) Data 0.050 (0.048) Loss 2.2617 (2.2958) Prec@1 46.094 (47.483) Prec@5 75.000 (72.837)
Epoch: [92][3410/5005] Time 0.200 (0.209) Data 0.061 (0.048) Loss 2.2233 (2.2957) Prec@1 51.172 (47.486) Prec@5 75.391 (72.842)
Epoch: [92][3420/5005] Time 0.205 (0.209) Data 0.054 (0.048) Loss 2.3029 (2.2957) Prec@1 45.703 (47.485) Prec@5 73.047 (72.845)
Epoch: [92][3430/5005] Time 0.216 (0.209) Data 0.042 (0.048) Loss 2.3195 (2.2957) Prec@1 49.609 (47.485) Prec@5 71.484 (72.845)
Epoch: [92][3440/5005] Time 0.209 (0.209) Data 0.040 (0.048) Loss 2.3856 (2.2956) Prec@1 48.828 (47.485) Prec@5 72.266 (72.847)
Epoch: [92][3450/5005] Time 0.210 (0.209) Data 0.054 (0.048) Loss 2.1358 (2.2954) Prec@1 48.438 (47.490) Prec@5 75.000 (72.850)
Epoch: [92][3460/5005] Time 0.205 (0.209) Data 0.053 (0.048) Loss 2.3010 (2.2954) Prec@1 45.703 (47.489) Prec@5 75.391 (72.852)
Epoch: [92][3470/5005] Time 0.214 (0.209) Data 0.040 (0.048) Loss 2.1033 (2.2952) Prec@1 49.219 (47.490) Prec@5 76.172 (72.853)
Epoch: [92][3480/5005] Time 0.205 (0.209) Data 0.046 (0.048) Loss 2.3757 (2.2950) Prec@1 43.359 (47.492) Prec@5 69.531 (72.855)
Epoch: [92][3490/5005] Time 0.209 (0.209) Data 0.043 (0.048) Loss 2.3910 (2.2950) Prec@1 44.531 (47.491) Prec@5 70.312 (72.853)
Epoch: [92][3500/5005] Time 0.204 (0.209) Data 0.067 (0.048) Loss 2.0875 (2.2949) Prec@1 56.250 (47.494) Prec@5 75.391 (72.853)
Epoch: [92][3510/5005] Time 0.204 (0.209) Data 0.065 (0.048) Loss 2.0841 (2.2947) Prec@1 48.828 (47.496) Prec@5 75.781 (72.858)
Epoch: [92][3520/5005] Time 0.210 (0.209) Data 0.048 (0.048) Loss 2.4493 (2.2947) Prec@1 50.000 (47.499) Prec@5 71.484 (72.856)
Epoch: [92][3530/5005] Time 0.207 (0.209) Data 0.061 (0.048) Loss 2.2278 (2.2946) Prec@1 50.000 (47.503) Prec@5 75.391 (72.860)
Epoch: [92][3540/5005] Time 0.200 (0.209) Data 0.049 (0.048) Loss 2.3159 (2.2945) Prec@1 51.172 (47.504) Prec@5 72.656 (72.860)
Epoch: [92][3550/5005] Time 0.207 (0.209) Data 0.049 (0.048) Loss 2.3449 (2.2944) Prec@1 43.750 (47.505) Prec@5 71.094 (72.862)
Epoch: [92][3560/5005] Time 0.213 (0.209) Data 0.042 (0.048) Loss 2.3293 (2.2943) Prec@1 46.094 (47.508) Prec@5 72.656 (72.866)
Epoch: [92][3570/5005] Time 0.208 (0.209) Data 0.059 (0.048) Loss 2.3311 (2.2943) Prec@1 50.781 (47.509) Prec@5 74.609 (72.867)
Epoch: [92][3580/5005] Time 0.213 (0.209) Data 0.047 (0.048) Loss 2.2235 (2.2943) Prec@1 48.047 (47.508) Prec@5 75.391 (72.870)
Epoch: [92][3590/5005] Time 0.196 (0.209) Data 0.048 (0.048) Loss 2.4259 (2.2940) Prec@1 43.750 (47.515) Prec@5 67.969 (72.875)
Epoch: [92][3600/5005] Time 0.213 (0.209) Data 0.043 (0.048) Loss 2.3746 (2.2938) Prec@1 51.172 (47.518) Prec@5 70.312 (72.876)
Epoch: [92][3610/5005] Time 0.206 (0.209) Data 0.051 (0.048) Loss 2.1809 (2.2939) Prec@1 48.438 (47.517) Prec@5 74.219 (72.873)
Epoch: [92][3620/5005] Time 0.213 (0.209) Data 0.045 (0.048) Loss 2.4824 (2.2937) Prec@1 44.141 (47.525) Prec@5 68.750 (72.877)
Epoch: [92][3630/5005] Time 0.212 (0.209) Data 0.047 (0.048) Loss 2.6033 (2.2936) Prec@1 42.578 (47.525) Prec@5 64.844 (72.876)
Epoch: [92][3640/5005] Time 0.204 (0.209) Data 0.056 (0.048) Loss 2.2501 (2.2936) Prec@1 48.438 (47.525) Prec@5 72.266 (72.875)
Epoch: [92][3650/5005] Time 0.223 (0.209) Data 0.047 (0.048) Loss 2.1262 (2.2935) Prec@1 51.562 (47.526) Prec@5 74.609 (72.877)
Epoch: [92][3660/5005] Time 0.206 (0.209) Data 0.044 (0.048) Loss 2.3351 (2.2935) Prec@1 45.312 (47.527) Prec@5 70.312 (72.877)
Epoch: [92][3670/5005] Time 0.213 (0.209) Data 0.046 (0.048) Loss 2.4372 (2.2937) Prec@1 51.562 (47.525) Prec@5 71.484 (72.874)
Epoch: [92][3680/5005] Time 0.198 (0.209) Data 0.046 (0.048) Loss 2.1599 (2.2937) Prec@1 45.312 (47.522) Prec@5 74.219 (72.873)
Epoch: [92][3690/5005] Time 0.215 (0.209) Data 0.044 (0.048) Loss 2.0606 (2.2937) Prec@1 51.562 (47.525) Prec@5 77.734 (72.875)
Epoch: [92][3700/5005] Time 0.212 (0.209) Data 0.050 (0.048) Loss 2.2055 (2.2936) Prec@1 50.000 (47.526) Prec@5 76.953 (72.875)
Epoch: [92][3710/5005] Time 0.196 (0.209) Data 0.062 (0.048) Loss 2.2040 (2.2937) Prec@1 50.781 (47.524) Prec@5 73.828 (72.876)
Epoch: [92][3720/5005] Time 0.211 (0.209) Data 0.052 (0.048) Loss 2.3511 (2.2938) Prec@1 48.047 (47.522) Prec@5 71.094 (72.873)
Epoch: [92][3730/5005] Time 0.214 (0.209) Data 0.046 (0.048) Loss 2.1188 (2.2937) Prec@1 50.781 (47.525) Prec@5 74.609 (72.872)
Epoch: [92][3740/5005] Time 0.212 (0.209) Data 0.042 (0.048) Loss 2.2405 (2.2934) Prec@1 51.172 (47.528) Prec@5 75.000 (72.877)
Epoch: [92][3750/5005] Time 0.211 (0.209) Data 0.043 (0.048) Loss 2.1074 (2.2935) Prec@1 51.953 (47.528) Prec@5 76.172 (72.876)
Epoch: [92][3760/5005] Time 0.209 (0.209) Data 0.048 (0.048) Loss 2.3786 (2.2936) Prec@1 44.922 (47.526) Prec@5 71.094 (72.874)
Epoch: [92][3770/5005] Time 0.218 (0.209) Data 0.046 (0.048) Loss 2.2386 (2.2935) Prec@1 49.609 (47.528) Prec@5 73.828 (72.877)
Epoch: [92][3780/5005] Time 0.214 (0.209) Data 0.043 (0.048) Loss 2.2937 (2.2934) Prec@1 49.219 (47.530) Prec@5 72.656 (72.876)
Epoch: [92][3790/5005] Time 0.207 (0.209) Data 0.042 (0.048) Loss 2.3472 (2.2935) Prec@1 50.000 (47.527) Prec@5 72.266 (72.876)
Epoch: [92][3800/5005] Time 0.206 (0.209) Data 0.058 (0.048) Loss 2.2184 (2.2936) Prec@1 47.656 (47.523) Prec@5 74.609 (72.873)
Epoch: [92][3810/5005] Time 0.204 (0.209) Data 0.044 (0.048) Loss 2.1109 (2.2936) Prec@1 53.516 (47.521) Prec@5 77.344 (72.873)
Epoch: [92][3820/5005] Time 0.207 (0.209) Data 0.041 (0.048) Loss 2.0513 (2.2934) Prec@1 51.172 (47.525) Prec@5 75.781 (72.876)
Epoch: [92][3830/5005] Time 0.203 (0.209) Data 0.043 (0.048) Loss 2.3168 (2.2932) Prec@1 44.531 (47.528) Prec@5 70.703 (72.879)
Epoch: [92][3840/5005] Time 0.206 (0.209) Data 0.043 (0.048) Loss 2.4645 (2.2933) Prec@1 41.797 (47.523) Prec@5 70.312 (72.878)
Epoch: [92][3850/5005] Time 0.205 (0.209) Data 0.044 (0.048) Loss 2.3462 (2.2933) Prec@1 46.094 (47.522) Prec@5 75.000 (72.882)
Epoch: [92][3860/5005] Time 0.210 (0.209) Data 0.046 (0.048) Loss 2.0829 (2.2932) Prec@1 51.172 (47.525) Prec@5 77.734 (72.883)
Epoch: [92][3870/5005] Time 0.207 (0.209) Data 0.043 (0.048) Loss 2.1842 (2.2933) Prec@1 44.141 (47.520) Prec@5 75.391 (72.881)
Epoch: [92][3880/5005] Time 0.203 (0.209) Data 0.041 (0.048) Loss 2.1947 (2.2933) Prec@1 47.656 (47.520) Prec@5 77.344 (72.879)
Epoch: [92][3890/5005] Time 0.208 (0.209) Data 0.041 (0.048) Loss 2.4348 (2.2932) Prec@1 46.875 (47.521) Prec@5 69.531 (72.878)
Epoch: [92][3900/5005] Time 0.212 (0.209) Data 0.047 (0.048) Loss 2.3725 (2.2934) Prec@1 44.531 (47.518) Prec@5 71.094 (72.875)
Epoch: [92][3910/5005] Time 0.203 (0.209) Data 0.059 (0.048) Loss 2.4349 (2.2934) Prec@1 42.969 (47.518) Prec@5 69.922 (72.876)
Epoch: [92][3920/5005] Time 0.210 (0.209) Data 0.049 (0.048) Loss 2.3170 (2.2934) Prec@1 45.703 (47.519) Prec@5 72.266 (72.873)
Epoch: [92][3930/5005] Time 0.192 (0.209) Data 0.044 (0.048) Loss 2.2131 (2.2931) Prec@1 50.000 (47.524) Prec@5 73.047 (72.877)
Epoch: [92][3940/5005] Time 0.190 (0.209) Data 0.052 (0.048) Loss 2.3786 (2.2931) Prec@1 45.312 (47.525) Prec@5 71.094 (72.875)
Epoch: [92][3950/5005] Time 0.207 (0.209) Data 0.045 (0.048) Loss 2.3067 (2.2929) Prec@1 48.828 (47.525) Prec@5 73.828 (72.878)
Epoch: [92][3960/5005] Time 0.207 (0.209) Data 0.048 (0.048) Loss 2.1985 (2.2930) Prec@1 47.656 (47.524) Prec@5 75.000 (72.877)
Epoch: [92][3970/5005] Time 0.201 (0.209) Data 0.041 (0.048) Loss 2.2859 (2.2930) Prec@1 48.438 (47.524) Prec@5 73.047 (72.875)
Epoch: [92][3980/5005] Time 0.199 (0.209) Data 0.044 (0.048) Loss 2.0459 (2.2929) Prec@1 50.391 (47.524) Prec@5 77.734 (72.878)
Epoch: [92][3990/5005] Time 0.209 (0.209) Data 0.042 (0.048) Loss 2.4248 (2.2930) Prec@1 47.656 (47.522) Prec@5 69.531 (72.879)
Epoch: [92][4000/5005] Time 0.209 (0.209) Data 0.043 (0.048) Loss 2.2763 (2.2930) Prec@1 46.484 (47.522) Prec@5 73.438 (72.879)
Epoch: [92][4010/5005] Time 0.205 (0.209) Data 0.043 (0.048) Loss 2.2418 (2.2928) Prec@1 49.219 (47.524) Prec@5 71.094 (72.881)
Epoch: [92][4020/5005] Time 0.198 (0.209) Data 0.045 (0.048) Loss 2.4526 (2.2928) Prec@1 46.094 (47.526) Prec@5 69.141 (72.882)
Epoch: [92][4030/5005] Time 0.205 (0.209) Data 0.059 (0.048) Loss 2.5410 (2.2930) Prec@1 43.750 (47.522) Prec@5 68.750 (72.877)
Epoch: [92][4040/5005] Time 0.201 (0.209) Data 0.047 (0.048) Loss 2.2668 (2.2932) Prec@1 49.219 (47.519) Prec@5 73.438 (72.877)
Epoch: [92][4050/5005] Time 0.200 (0.209) Data 0.054 (0.048) Loss 2.5258 (2.2931) Prec@1 41.797 (47.519) Prec@5 67.578 (72.876)
Epoch: [92][4060/5005] Time 0.201 (0.209) Data 0.057 (0.048) Loss 2.3434 (2.2931) Prec@1 44.141 (47.519) Prec@5 70.703 (72.878)
Epoch: [92][4070/5005] Time 0.213 (0.209) Data 0.043 (0.048) Loss 2.5833 (2.2932) Prec@1 44.141 (47.519) Prec@5 70.312 (72.878)
Epoch: [92][4080/5005] Time 0.193 (0.209) Data 0.045 (0.048) Loss 2.3039 (2.2932) Prec@1 47.656 (47.521) Prec@5 72.266 (72.878)
Epoch: [92][4090/5005] Time 0.208 (0.209) Data 0.052 (0.048) Loss 2.3326 (2.2931) Prec@1 46.484 (47.520) Prec@5 68.359 (72.876)
Epoch: [92][4100/5005] Time 0.204 (0.209) Data 0.042 (0.048) Loss 2.1558 (2.2930) Prec@1 44.922 (47.518) Prec@5 76.953 (72.878)
Epoch: [92][4110/5005] Time 0.206 (0.209) Data 0.059 (0.048) Loss 2.4440 (2.2930) Prec@1 40.625 (47.517) Prec@5 70.312 (72.878)
Epoch: [92][4120/5005] Time 0.209 (0.209) Data 0.040 (0.048) Loss 2.3882 (2.2928) Prec@1 46.484 (47.520) Prec@5 69.141 (72.880)
Epoch: [92][4130/5005] Time 0.205 (0.209) Data 0.046 (0.048) Loss 2.5208 (2.2928) Prec@1 38.672 (47.519) Prec@5 67.969 (72.881)
Epoch: [92][4140/5005] Time 0.215 (0.209) Data 0.040 (0.048) Loss 2.4548 (2.2928) Prec@1 42.969 (47.519) Prec@5 68.750 (72.879)
Epoch: [92][4150/5005] Time 0.214 (0.209) Data 0.043 (0.048) Loss 2.4656 (2.2927) Prec@1 46.875 (47.522) Prec@5 71.094 (72.880)
Epoch: [92][4160/5005] Time 0.207 (0.209) Data 0.042 (0.048) Loss 2.3749 (2.2930) Prec@1 44.141 (47.518) Prec@5 74.219 (72.877)
Epoch: [92][4170/5005] Time 0.211 (0.209) Data 0.042 (0.048) Loss 2.1216 (2.2928) Prec@1 48.828 (47.523) Prec@5 77.344 (72.881)
Epoch: [92][4180/5005] Time 0.211 (0.209) Data 0.050 (0.048) Loss 2.1624 (2.2927) Prec@1 50.391 (47.527) Prec@5 74.219 (72.882)
Epoch: [92][4190/5005] Time 0.190 (0.209) Data 0.055 (0.048) Loss 2.1484 (2.2927) Prec@1 44.531 (47.528) Prec@5 71.875 (72.880)
Epoch: [92][4200/5005] Time 0.209 (0.209) Data 0.050 (0.048) Loss 2.2051 (2.2927) Prec@1 46.875 (47.528) Prec@5 73.047 (72.879)
Epoch: [92][4210/5005] Time 0.203 (0.209) Data 0.048 (0.048) Loss 2.1176 (2.2926) Prec@1 49.609 (47.530) Prec@5 76.953 (72.881)
Epoch: [92][4220/5005] Time 0.203 (0.209) Data 0.047 (0.048) Loss 2.3813 (2.2927) Prec@1 44.531 (47.526) Prec@5 72.656 (72.879)
Epoch: [92][4230/5005] Time 0.212 (0.209) Data 0.050 (0.048) Loss 2.2242 (2.2926) Prec@1 48.828 (47.527) Prec@5 71.875 (72.879)
Epoch: [92][4240/5005] Time 0.205 (0.209) Data 0.052 (0.048) Loss 2.1065 (2.2926) Prec@1 49.609 (47.525) Prec@5 76.562 (72.879)
Epoch: [92][4250/5005] Time 0.205 (0.209) Data 0.071 (0.048) Loss 2.1615 (2.2925) Prec@1 48.828 (47.526) Prec@5 76.562 (72.880)
Epoch: [92][4260/5005] Time 0.203 (0.209) Data 0.050 (0.048) Loss 2.1012 (2.2924) Prec@1 51.172 (47.528) Prec@5 76.172 (72.880)
Epoch: [92][4270/5005] Time 0.200 (0.209) Data 0.043 (0.048) Loss 2.4451 (2.2926) Prec@1 45.703 (47.526) Prec@5 70.703 (72.878)
Epoch: [92][4280/5005] Time 0.208 (0.209) Data 0.043 (0.048) Loss 2.4511 (2.2926) Prec@1 44.141 (47.525) Prec@5 72.656 (72.880)
Epoch: [92][4290/5005] Time 0.204 (0.209) Data 0.050 (0.048) Loss 2.5718 (2.2928) Prec@1 41.797 (47.522) Prec@5 68.359 (72.878)
Epoch: [92][4300/5005] Time 0.211 (0.209) Data 0.042 (0.048) Loss 2.0171 (2.2926) Prec@1 50.000 (47.527) Prec@5 78.906 (72.881)
Epoch: [92][4310/5005] Time 0.205 (0.209) Data 0.042 (0.048) Loss 2.2768 (2.2925) Prec@1 45.703 (47.528) Prec@5 70.703 (72.882)
Epoch: [92][4320/5005] Time 0.212 (0.209) Data 0.045 (0.048) Loss 2.2296 (2.2925) Prec@1 54.688 (47.531) Prec@5 74.609 (72.882)
Epoch: [92][4330/5005] Time 0.210 (0.209) Data 0.043 (0.048) Loss 2.1422 (2.2925) Prec@1 47.266 (47.531) Prec@5 76.953 (72.881)
Epoch: [92][4340/5005] Time 0.213 (0.209) Data 0.046 (0.048) Loss 2.3503 (2.2925) Prec@1 46.094 (47.529) Prec@5 71.484 (72.881)
Epoch: [92][4350/5005] Time 0.212 (0.209) Data 0.044 (0.048) Loss 2.3936 (2.2925) Prec@1 46.094 (47.529) Prec@5 71.484 (72.881)
Epoch: [92][4360/5005] Time 0.214 (0.209) Data 0.044 (0.048) Loss 2.0986 (2.2923) Prec@1 52.344 (47.534) Prec@5 76.172 (72.885)
Epoch: [92][4370/5005] Time 0.205 (0.209) Data 0.051 (0.048) Loss 2.2078 (2.2923) Prec@1 51.562 (47.536) Prec@5 73.828 (72.884)
Epoch: [92][4380/5005] Time 0.193 (0.209) Data 0.041 (0.048) Loss 2.3750 (2.2924) Prec@1 43.750 (47.534) Prec@5 69.531 (72.884)
Epoch: [92][4390/5005] Time 0.212 (0.209) Data 0.043 (0.048) Loss 2.1928 (2.2922) Prec@1 52.344 (47.541) Prec@5 74.219 (72.887)
Epoch: [92][4400/5005] Time 0.212 (0.209) Data 0.045 (0.048) Loss 2.2353 (2.2922) Prec@1 51.562 (47.540) Prec@5 73.047 (72.887)
Epoch: [92][4410/5005] Time 0.191 (0.209) Data 0.050 (0.048) Loss 2.2571 (2.2921) Prec@1 44.922 (47.539) Prec@5 73.828 (72.887)
Epoch: [92][4420/5005] Time 0.200 (0.209) Data 0.043 (0.048) Loss 1.9861 (2.2920) Prec@1 57.812 (47.541) Prec@5 75.000 (72.889)
Epoch: [92][4430/5005] Time 0.204 (0.209) Data 0.061 (0.048) Loss 2.2785 (2.2919) Prec@1 46.484 (47.543) Prec@5 70.703 (72.890)
Epoch: [92][4440/5005] Time 0.195 (0.208) Data 0.060 (0.048) Loss 2.4371 (2.2918) Prec@1 46.094 (47.546) Prec@5 68.750 (72.892)
Epoch: [92][4450/5005] Time 0.212 (0.208) Data 0.043 (0.048) Loss 2.0336 (2.2919) Prec@1 55.078 (47.548) Prec@5 77.344 (72.890)
Epoch: [92][4460/5005] Time 0.208 (0.208) Data 0.051 (0.048) Loss 2.3355 (2.2917) Prec@1 46.875 (47.548) Prec@5 71.875 (72.891)
Epoch: [92][4470/5005] Time 0.203 (0.208) Data 0.048 (0.048) Loss 2.2948 (2.2918) Prec@1 45.312 (47.545) Prec@5 74.609 (72.889)
Epoch: [92][4480/5005] Time 0.211 (0.208) Data 0.043 (0.048) Loss 2.1495 (2.2920) Prec@1 48.047 (47.543) Prec@5 74.219 (72.886)
Epoch: [92][4490/5005] Time 0.213 (0.208) Data 0.046 (0.048) Loss 2.3601 (2.2921) Prec@1 44.141 (47.543) Prec@5 73.438 (72.884)
Epoch: [92][4500/5005] Time 0.202 (0.208) Data 0.046 (0.048) Loss 2.2540 (2.2921) Prec@1 44.922 (47.544) Prec@5 75.391 (72.884)
Epoch: [92][4510/5005] Time 0.209 (0.208) Data 0.042 (0.048) Loss 2.1921 (2.2921) Prec@1 51.953 (47.543) Prec@5 73.828 (72.885)
Epoch: [92][4520/5005] Time 0.195 (0.208) Data 0.059 (0.048) Loss 2.2824 (2.2920) Prec@1 48.438 (47.546) Prec@5 74.609 (72.888)
Epoch: [92][4530/5005] Time 0.197 (0.208) Data 0.052 (0.048) Loss 2.1670 (2.2920) Prec@1 50.781 (47.547) Prec@5 76.172 (72.889)
Epoch: [92][4540/5005] Time 0.214 (0.208) Data 0.048 (0.048) Loss 2.4867 (2.2921) Prec@1 46.484 (47.543) Prec@5 71.875 (72.887)
Epoch: [92][4550/5005] Time 0.217 (0.208) Data 0.046 (0.048) Loss 2.2528 (2.2920) Prec@1 53.516 (47.547) Prec@5 73.438 (72.887)
Epoch: [92][4560/5005] Time 0.207 (0.208) Data 0.042 (0.048) Loss 2.2957 (2.2920) Prec@1 49.609 (47.548) Prec@5 73.047 (72.887)
Epoch: [92][4570/5005] Time 0.211 (0.208) Data 0.044 (0.048) Loss 2.2790 (2.2920) Prec@1 51.172 (47.547) Prec@5 72.266 (72.887)
Epoch: [92][4580/5005] Time 0.211 (0.208) Data 0.042 (0.048) Loss 2.4032 (2.2920) Prec@1 42.578 (47.546) Prec@5 70.703 (72.887)
Epoch: [92][4590/5005] Time 0.198 (0.208) Data 0.049 (0.048) Loss 1.9758 (2.2919) Prec@1 55.859 (47.547) Prec@5 82.031 (72.888)
Epoch: [92][4600/5005] Time 0.205 (0.208) Data 0.042 (0.048) Loss 2.1165 (2.2920) Prec@1 53.125 (47.547) Prec@5 76.172 (72.886)
Epoch: [92][4610/5005] Time 0.206 (0.208) Data 0.049 (0.048) Loss 2.0184 (2.2920) Prec@1 49.609 (47.548) Prec@5 76.172 (72.886)
Epoch: [92][4620/5005] Time 0.210 (0.208) Data 0.047 (0.048) Loss 2.1564 (2.2919) Prec@1 49.609 (47.549) Prec@5 74.219 (72.886)
Epoch: [92][4630/5005] Time 0.197 (0.208) Data 0.044 (0.048) Loss 2.0908 (2.2918) Prec@1 51.172 (47.552) Prec@5 75.391 (72.889)
Epoch: [92][4640/5005] Time 0.202 (0.208) Data 0.044 (0.048) Loss 2.2991 (2.2917) Prec@1 46.484 (47.553) Prec@5 74.219 (72.890)
Epoch: [92][4650/5005] Time 0.212 (0.208) Data 0.049 (0.048) Loss 2.3194 (2.2917) Prec@1 42.188 (47.553) Prec@5 71.875 (72.892)
Epoch: [92][4660/5005] Time 0.200 (0.208) Data 0.042 (0.048) Loss 2.5823 (2.2917) Prec@1 44.141 (47.553) Prec@5 67.188 (72.891)
Epoch: [92][4670/5005] Time 0.207 (0.208) Data 0.052 (0.048) Loss 2.2448 (2.2916) Prec@1 48.438 (47.554) Prec@5 74.609 (72.891)
Epoch: [92][4680/5005] Time 0.202 (0.208) Data 0.058 (0.048) Loss 2.1571 (2.2916) Prec@1 50.781 (47.557) Prec@5 75.781 (72.892)
Epoch: [92][4690/5005] Time 0.212 (0.208) Data 0.042 (0.048) Loss 2.2702 (2.2916) Prec@1 43.750 (47.554) Prec@5 73.828 (72.890)
Epoch: [92][4700/5005] Time 0.192 (0.208) Data 0.049 (0.048) Loss 2.3642 (2.2917) Prec@1 48.047 (47.555) Prec@5 72.266 (72.889)
Epoch: [92][4710/5005] Time 0.199 (0.208) Data 0.043 (0.048) Loss 2.1702 (2.2915) Prec@1 52.734 (47.559) Prec@5 76.953 (72.894)
Epoch: [92][4720/5005] Time 0.212 (0.208) Data 0.064 (0.048) Loss 2.2165 (2.2916) Prec@1 51.562 (47.560) Prec@5 73.438 (72.894)
Epoch: [92][4730/5005] Time 0.220 (0.208) Data 0.046 (0.048) Loss 2.3053 (2.2917) Prec@1 43.750 (47.555) Prec@5 71.875 (72.891)
Epoch: [92][4740/5005] Time 0.209 (0.208) Data 0.054 (0.048) Loss 2.2618 (2.2917) Prec@1 46.484 (47.555) Prec@5 75.781 (72.892)
Epoch: [92][4750/5005] Time 0.204 (0.208) Data 0.063 (0.048) Loss 2.2084 (2.2916) Prec@1 48.828 (47.558) Prec@5 73.438 (72.893)
Epoch: [92][4760/5005] Time 0.196 (0.208) Data 0.047 (0.048) Loss 2.5017 (2.2915) Prec@1 45.312 (47.560) Prec@5 71.484 (72.894)
Epoch: [92][4770/5005] Time 0.209 (0.208) Data 0.043 (0.048) Loss 2.2595 (2.2914) Prec@1 49.609 (47.561) Prec@5 74.219 (72.897)
Epoch: [92][4780/5005] Time 0.207 (0.208) Data 0.043 (0.048) Loss 2.3810 (2.2915) Prec@1 47.656 (47.560) Prec@5 71.875 (72.898)
Epoch: [92][4790/5005] Time 0.205 (0.208) Data 0.041 (0.048) Loss 2.6651 (2.2915) Prec@1 42.188 (47.561) Prec@5 66.016 (72.898)
Epoch: [92][4800/5005] Time 0.195 (0.208) Data 0.062 (0.048) Loss 2.4468 (2.2914) Prec@1 45.312 (47.562) Prec@5 69.922 (72.901)
Epoch: [92][4810/5005] Time 0.208 (0.208) Data 0.052 (0.048) Loss 2.4315 (2.2914) Prec@1 44.141 (47.562) Prec@5 69.922 (72.901)
Epoch: [92][4820/5005] Time 0.213 (0.208) Data 0.042 (0.048) Loss 2.4235 (2.2912) Prec@1 43.750 (47.567) Prec@5 71.875 (72.904)
Epoch: [92][4830/5005] Time 0.208 (0.208) Data 0.043 (0.048) Loss 2.2919 (2.2912) Prec@1 44.531 (47.567) Prec@5 72.266 (72.905)
Epoch: [92][4840/5005] Time 0.201 (0.208) Data 0.046 (0.048) Loss 2.0054 (2.2913) Prec@1 51.172 (47.566) Prec@5 79.297 (72.903)
Epoch: [92][4850/5005] Time 0.208 (0.208) Data 0.040 (0.048) Loss 2.3375 (2.2914) Prec@1 48.438 (47.563) Prec@5 71.875 (72.902)
Epoch: [92][4860/5005] Time 0.213 (0.208) Data 0.043 (0.048) Loss 2.2808 (2.2914) Prec@1 46.875 (47.565) Prec@5 70.703 (72.902)
Epoch: [92][4870/5005] Time 0.211 (0.208) Data 0.046 (0.048) Loss 2.1790 (2.2914) Prec@1 51.953 (47.565) Prec@5 72.266 (72.900)
Epoch: [92][4880/5005] Time 0.205 (0.208) Data 0.042 (0.048) Loss 2.2091 (2.2913) Prec@1 51.172 (47.568) Prec@5 75.000 (72.900)
Epoch: [92][4890/5005] Time 0.194 (0.208) Data 0.064 (0.048) Loss 2.3568 (2.2913) Prec@1 44.922 (47.569) Prec@5 72.656 (72.902)
Epoch: [92][4900/5005] Time 0.198 (0.208) Data 0.069 (0.048) Loss 2.1469 (2.2912) Prec@1 47.266 (47.573) Prec@5 74.219 (72.903)
Epoch: [92][4910/5005] Time 0.210 (0.208) Data 0.041 (0.048) Loss 2.3252 (2.2911) Prec@1 46.484 (47.576) Prec@5 75.391 (72.906)
Epoch: [92][4920/5005] Time 0.200 (0.208) Data 0.044 (0.048) Loss 2.1768 (2.2910) Prec@1 49.219 (47.577) Prec@5 73.047 (72.906)
Epoch: [92][4930/5005] Time 0.206 (0.208) Data 0.059 (0.048) Loss 2.4336 (2.2910) Prec@1 45.703 (47.576) Prec@5 71.484 (72.907)
Epoch: [92][4940/5005] Time 0.196 (0.208) Data 0.049 (0.048) Loss 2.2474 (2.2911) Prec@1 49.219 (47.574) Prec@5 74.219 (72.906)
Epoch: [92][4950/5005] Time 0.207 (0.208) Data 0.045 (0.048) Loss 2.0136 (2.2911) Prec@1 52.734 (47.574) Prec@5 77.344 (72.905)
Epoch: [92][4960/5005] Time 0.202 (0.208) Data 0.045 (0.048) Loss 2.3313 (2.2911) Prec@1 50.781 (47.576) Prec@5 73.828 (72.905)
Epoch: [92][4970/5005] Time 0.205 (0.208) Data 0.043 (0.048) Loss 2.3907 (2.2910) Prec@1 44.531 (47.576) Prec@5 70.703 (72.908)
Epoch: [92][4980/5005] Time 0.211 (0.208) Data 0.046 (0.048) Loss 2.2961 (2.2910) Prec@1 45.703 (47.578) Prec@5 73.828 (72.912)
Epoch: [92][4990/5005] Time 0.203 (0.208) Data 0.024 (0.048) Loss 2.3169 (2.2909) Prec@1 43.359 (47.578) Prec@5 71.875 (72.914)
Epoch: [92][5000/5005] Time 0.205 (0.208) Data 0.021 (0.048) Loss 2.3833 (2.2909) Prec@1 46.875 (47.578) Prec@5 71.094 (72.913)
Test: [0/196] Time 1.503 (1.503) Loss 2.4323 (2.4323) Prec@1 46.094 (46.094) Prec@5 73.438 (73.438)
Test: [10/196] Time 0.044 (0.276) Loss 2.4806 (2.5564) Prec@1 48.438 (43.750) Prec@5 71.094 (69.283)
Test: [20/196] Time 0.045 (0.230) Loss 2.4334 (2.5561) Prec@1 48.047 (43.694) Prec@5 74.609 (69.382)
Test: [30/196] Time 0.103 (0.213) Loss 2.4751 (2.5606) Prec@1 44.141 (43.473) Prec@5 69.141 (69.103)
Test: [40/196] Time 0.052 (0.208) Loss 2.3254 (2.5558) Prec@1 49.219 (43.826) Prec@5 72.266 (69.083)
Test: [50/196] Time 0.309 (0.198) Loss 2.5893 (2.5544) Prec@1 46.875 (43.919) Prec@5 70.703 (69.278)
Test: [60/196] Time 0.083 (0.190) Loss 2.5023 (2.5403) Prec@1 48.828 (44.378) Prec@5 70.312 (69.563)
Test: [70/196] Time 0.447 (0.192) Loss 2.5152 (2.5344) Prec@1 42.578 (44.383) Prec@5 69.922 (69.603)
Test: [80/196] Time 0.042 (0.189) Loss 2.4162 (2.5402) Prec@1 49.219 (44.305) Prec@5 76.562 (69.579)
Test: [90/196] Time 0.055 (0.186) Loss 2.6240 (2.5421) Prec@1 46.094 (44.364) Prec@5 67.188 (69.561)
Test: [100/196] Time 0.046 (0.184) Loss 2.5569 (2.5374) Prec@1 45.703 (44.531) Prec@5 69.141 (69.694)
Test: [110/196] Time 0.044 (0.183) Loss 2.7703 (2.5400) Prec@1 39.453 (44.493) Prec@5 64.844 (69.626)
Test: [120/196] Time 0.043 (0.182) Loss 2.3456 (2.5364) Prec@1 46.484 (44.567) Prec@5 71.875 (69.677)
Test: [130/196] Time 0.044 (0.182) Loss 2.1979 (2.5317) Prec@1 49.219 (44.671) Prec@5 75.391 (69.791)
Test: [140/196] Time 0.081 (0.182) Loss 2.3446 (2.5326) Prec@1 51.172 (44.656) Prec@5 69.141 (69.750)
Test: [150/196] Time 0.042 (0.179) Loss 2.2095 (2.5319) Prec@1 49.609 (44.668) Prec@5 78.906 (69.772)
Test: [160/196] Time 0.482 (0.181) Loss 2.4933 (2.5305) Prec@1 49.609 (44.682) Prec@5 72.266 (69.810)
Test: [170/196] Time 0.461 (0.180) Loss 2.4394 (2.5324) Prec@1 44.922 (44.659) Prec@5 75.000 (69.787)
Test: [180/196] Time 0.045 (0.180) Loss 2.7890 (2.5378) Prec@1 41.016 (44.544) Prec@5 64.844 (69.684)
Test: [190/196] Time 0.041 (0.178) Loss 2.7129 (2.5409) Prec@1 43.359 (44.499) Prec@5 64.844 (69.562)
* Prec@1 44.504 Prec@5 69.582
Learning rate: 1e-06
Epoch: [93][0/5005] Time 1.006 (1.006) Data 0.892 (0.892) Loss 2.2927 (2.2927) Prec@1 47.266 (47.266) Prec@5 71.484 (71.484)
Epoch: [93][10/5005] Time 0.201 (0.274) Data 0.042 (0.125) Loss 2.2408 (2.3015) Prec@1 48.438 (46.697) Prec@5 73.828 (72.834)
Epoch: [93][20/5005] Time 0.205 (0.241) Data 0.042 (0.088) Loss 2.4919 (2.3079) Prec@1 44.531 (46.112) Prec@5 71.875 (72.805)
Epoch: [93][30/5005] Time 0.209 (0.229) Data 0.044 (0.074) Loss 2.2087 (2.2823) Prec@1 48.438 (46.850) Prec@5 73.047 (72.996)
Epoch: [93][40/5005] Time 0.204 (0.223) Data 0.048 (0.068) Loss 2.2608 (2.2905) Prec@1 49.609 (46.970) Prec@5 73.828 (72.923)
Epoch: [93][50/5005] Time 0.204 (0.219) Data 0.042 (0.063) Loss 2.1791 (2.2962) Prec@1 51.562 (47.051) Prec@5 78.125 (72.924)
Epoch: [93][60/5005] Time 0.208 (0.217) Data 0.044 (0.061) Loss 2.2141 (2.2948) Prec@1 46.094 (46.984) Prec@5 74.609 (72.944)
Epoch: [93][70/5005] Time 0.203 (0.215) Data 0.042 (0.059) Loss 2.4096 (2.3061) Prec@1 47.266 (46.914) Prec@5 69.922 (72.717)
Epoch: [93][80/5005] Time 0.197 (0.214) Data 0.044 (0.057) Loss 2.1713 (2.3021) Prec@1 52.344 (47.078) Prec@5 74.609 (72.758)
Epoch: [93][90/5005] Time 0.208 (0.212) Data 0.041 (0.056) Loss 2.5013 (2.3023) Prec@1 48.828 (47.206) Prec@5 69.531 (72.789)
Epoch: [93][100/5005] Time 0.198 (0.211) Data 0.043 (0.055) Loss 2.2350 (2.3054) Prec@1 45.703 (47.126) Prec@5 75.000 (72.699)
Epoch: [93][110/5005] Time 0.199 (0.210) Data 0.041 (0.054) Loss 2.2843 (2.3053) Prec@1 47.266 (47.216) Prec@5 71.484 (72.758)
Epoch: [93][120/5005] Time 0.211 (0.210) Data 0.043 (0.053) Loss 2.1944 (2.3063) Prec@1 49.609 (47.337) Prec@5 73.828 (72.772)
Epoch: [93][130/5005] Time 0.205 (0.210) Data 0.044 (0.052) Loss 2.5069 (2.3095) Prec@1 48.047 (47.370) Prec@5 66.797 (72.701)
Epoch: [93][140/5005] Time 0.211 (0.209) Data 0.044 (0.053) Loss 2.3218 (2.3053) Prec@1 48.438 (47.374) Prec@5 71.875 (72.726)
Epoch: [93][150/5005] Time 0.207 (0.209) Data 0.043 (0.052) Loss 2.3862 (2.3046) Prec@1 45.703 (47.408) Prec@5 71.875 (72.793)
Epoch: [93][160/5005] Time 0.206 (0.209) Data 0.048 (0.052) Loss 2.3354 (2.3062) Prec@1 46.094 (47.314) Prec@5 73.047 (72.787)
Epoch: [93][170/5005] Time 0.220 (0.209) Data 0.044 (0.052) Loss 2.4751 (2.3067) Prec@1 46.875 (47.284) Prec@5 71.484 (72.798)
Epoch: [93][180/5005] Time 0.220 (0.210) Data 0.043 (0.052) Loss 2.4765 (2.3078) Prec@1 48.047 (47.268) Prec@5 68.359 (72.788)
Epoch: [93][190/5005] Time 0.223 (0.210) Data 0.044 (0.051) Loss 2.4169 (2.3118) Prec@1 47.656 (47.170) Prec@5 69.922 (72.732)
Epoch: [93][200/5005] Time 0.222 (0.211) Data 0.043 (0.051) Loss 2.3944 (2.3130) Prec@1 42.969 (47.135) Prec@5 70.312 (72.703)
Epoch: [93][210/5005] Time 0.219 (0.211) Data 0.043 (0.051) Loss 2.1000 (2.3122) Prec@1 52.734 (47.192) Prec@5 76.172 (72.682)
Epoch: [93][220/5005] Time 0.212 (0.211) Data 0.043 (0.051) Loss 2.2661 (2.3127) Prec@1 48.438 (47.198) Prec@5 73.438 (72.672)
Epoch: [93][230/5005] Time 0.219 (0.212) Data 0.044 (0.051) Loss 2.3673 (2.3129) Prec@1 47.656 (47.222) Prec@5 71.094 (72.690)
Epoch: [93][240/5005] Time 0.220 (0.212) Data 0.045 (0.050) Loss 2.3052 (2.3135) Prec@1 48.438 (47.189) Prec@5 71.484 (72.682)
Epoch: [93][250/5005] Time 0.212 (0.212) Data 0.048 (0.050) Loss 2.2955 (2.3115) Prec@1 44.922 (47.208) Prec@5 71.875 (72.740)
Epoch: [93][260/5005] Time 0.213 (0.212) Data 0.049 (0.050) Loss 2.2392 (2.3103) Prec@1 44.531 (47.243) Prec@5 73.438 (72.776)
Epoch: [93][270/5005] Time 0.206 (0.212) Data 0.045 (0.050) Loss 2.3912 (2.3105) Prec@1 47.266 (47.232) Prec@5 71.094 (72.754)
Epoch: [93][280/5005] Time 0.215 (0.212) Data 0.042 (0.050) Loss 2.5799 (2.3132) Prec@1 41.406 (47.172) Prec@5 68.359 (72.685)
Epoch: [93][290/5005] Time 0.213 (0.212) Data 0.051 (0.050) Loss 2.0273 (2.3140) Prec@1 53.906 (47.117) Prec@5 78.125 (72.667)
Epoch: [93][300/5005] Time 0.215 (0.212) Data 0.046 (0.050) Loss 2.1313 (2.3135) Prec@1 48.438 (47.115) Prec@5 76.562 (72.708)
Epoch: [93][310/5005] Time 0.212 (0.212) Data 0.044 (0.050) Loss 2.0470 (2.3111) Prec@1 51.953 (47.190) Prec@5 76.953 (72.753)
Epoch: [93][320/5005] Time 0.218 (0.212) Data 0.042 (0.050) Loss 2.5390 (2.3127) Prec@1 44.141 (47.197) Prec@5 67.578 (72.701)
Epoch: [93][330/5005] Time 0.210 (0.212) Data 0.044 (0.050) Loss 2.1676 (2.3105) Prec@1 48.828 (47.220) Prec@5 75.781 (72.736)
Epoch: [93][340/5005] Time 0.219 (0.212) Data 0.042 (0.050) Loss 2.3827 (2.3145) Prec@1 49.219 (47.160) Prec@5 70.312 (72.671)
Epoch: [93][350/5005] Time 0.211 (0.212) Data 0.061 (0.050) Loss 2.4251 (2.3140) Prec@1 45.703 (47.157) Prec@5 69.922 (72.684)
Epoch: [93][360/5005] Time 0.211 (0.212) Data 0.047 (0.050) Loss 2.4633 (2.3141) Prec@1 45.703 (47.134) Prec@5 67.188 (72.675)
Epoch: [93][370/5005] Time 0.213 (0.212) Data 0.045 (0.050) Loss 2.3903 (2.3126) Prec@1 48.047 (47.162) Prec@5 70.312 (72.689)
Epoch: [93][380/5005] Time 0.221 (0.212) Data 0.054 (0.050) Loss 2.4532 (2.3140) Prec@1 46.094 (47.148) Prec@5 69.922 (72.668)
Epoch: [93][390/5005] Time 0.201 (0.212) Data 0.051 (0.050) Loss 2.3309 (2.3143) Prec@1 46.875 (47.133) Prec@5 73.047 (72.646)
Epoch: [93][400/5005] Time 0.210 (0.212) Data 0.052 (0.050) Loss 2.2357 (2.3133) Prec@1 46.094 (47.162) Prec@5 73.438 (72.664)
Epoch: [93][410/5005] Time 0.215 (0.213) Data 0.049 (0.050) Loss 2.0769 (2.3133) Prec@1 49.219 (47.145) Prec@5 78.906 (72.677)
Epoch: [93][420/5005] Time 0.207 (0.213) Data 0.044 (0.050) Loss 2.2688 (2.3129) Prec@1 48.438 (47.150) Prec@5 72.266 (72.686)
Epoch: [93][430/5005] Time 0.219 (0.213) Data 0.043 (0.050) Loss 2.1413 (2.3131) Prec@1 56.641 (47.167) Prec@5 75.391 (72.677)
Epoch: [93][440/5005] Time 0.214 (0.213) Data 0.044 (0.050) Loss 2.1521 (2.3127) Prec@1 51.562 (47.140) Prec@5 75.000 (72.683)
Epoch: [93][450/5005] Time 0.207 (0.213) Data 0.044 (0.050) Loss 2.1424 (2.3132) Prec@1 48.047 (47.103) Prec@5 73.047 (72.668)
Epoch: [93][460/5005] Time 0.218 (0.213) Data 0.041 (0.050) Loss 2.3579 (2.3146) Prec@1 46.875 (47.081) Prec@5 70.312 (72.638)
Epoch: [93][470/5005] Time 0.213 (0.213) Data 0.042 (0.050) Loss 2.3702 (2.3160) Prec@1 41.797 (47.045) Prec@5 71.094 (72.612)
Epoch: [93][480/5005] Time 0.219 (0.213) Data 0.043 (0.050) Loss 2.4218 (2.3154) Prec@1 46.094 (47.063) Prec@5 72.266 (72.611)
Epoch: [93][490/5005] Time 0.219 (0.213) Data 0.047 (0.050) Loss 2.2950 (2.3152) Prec@1 47.656 (47.053) Prec@5 75.391 (72.629)
Epoch: [93][500/5005] Time 0.207 (0.213) Data 0.046 (0.050) Loss 2.5100 (2.3170) Prec@1 45.703 (47.036) Prec@5 69.531 (72.593)
Epoch: [93][510/5005] Time 0.209 (0.213) Data 0.048 (0.049) Loss 2.5794 (2.3173) Prec@1 41.797 (47.047) Prec@5 67.188 (72.576)
Epoch: [93][520/5005] Time 0.214 (0.213) Data 0.059 (0.049) Loss 2.3337 (2.3167) Prec@1 49.219 (47.055) Prec@5 72.266 (72.593)
Epoch: [93][530/5005] Time 0.209 (0.213) Data 0.058 (0.050) Loss 2.0967 (2.3161) Prec@1 49.219 (47.057) Prec@5 74.219 (72.595)
Epoch: [93][540/5005] Time 0.208 (0.213) Data 0.049 (0.050) Loss 2.4364 (2.3164) Prec@1 48.047 (47.031) Prec@5 69.922 (72.597)
Epoch: [93][550/5005] Time 0.207 (0.213) Data 0.047 (0.050) Loss 2.2385 (2.3160) Prec@1 47.266 (47.032) Prec@5 75.781 (72.585)
Epoch: [93][560/5005] Time 0.214 (0.213) Data 0.043 (0.050) Loss 2.3471 (2.3158) Prec@1 44.531 (47.027) Prec@5 72.656 (72.597)
Epoch: [93][570/5005] Time 0.216 (0.213) Data 0.042 (0.049) Loss 2.4186 (2.3160) Prec@1 44.141 (47.016) Prec@5 68.750 (72.597)
Epoch: [93][580/5005] Time 0.212 (0.213) Data 0.043 (0.049) Loss 2.4424 (2.3153) Prec@1 47.266 (47.026) Prec@5 72.266 (72.609)
Epoch: [93][590/5005] Time 0.218 (0.213) Data 0.043 (0.049) Loss 2.4520 (2.3153) Prec@1 46.875 (47.036) Prec@5 69.922 (72.592)
Epoch: [93][600/5005] Time 0.216 (0.213) Data 0.044 (0.049) Loss 2.4076 (2.3169) Prec@1 46.094 (47.027) Prec@5 72.266 (72.559)
Epoch: [93][610/5005] Time 0.215 (0.213) Data 0.060 (0.049) Loss 2.2525 (2.3173) Prec@1 47.266 (47.022) Prec@5 74.219 (72.557)
Epoch: [93][620/5005] Time 0.214 (0.213) Data 0.041 (0.049) Loss 2.2498 (2.3177) Prec@1 49.219 (47.034) Prec@5 74.609 (72.562)
Epoch: [93][630/5005] Time 0.208 (0.213) Data 0.057 (0.049) Loss 2.5124 (2.3178) Prec@1 43.750 (47.029) Prec@5 69.531 (72.562)
Epoch: [93][640/5005] Time 0.211 (0.213) Data 0.048 (0.049) Loss 2.1283 (2.3176) Prec@1 50.000 (47.035) Prec@5 76.172 (72.554)
Epoch: [93][650/5005] Time 0.224 (0.213) Data 0.042 (0.049) Loss 2.3525 (2.3187) Prec@1 43.359 (47.000) Prec@5 69.922 (72.540)
Epoch: [93][660/5005] Time 0.224 (0.213) Data 0.043 (0.049) Loss 2.3872 (2.3179) Prec@1 46.094 (47.015) Prec@5 73.438 (72.545)
Epoch: [93][670/5005] Time 0.214 (0.213) Data 0.043 (0.049) Loss 2.4736 (2.3177) Prec@1 44.141 (47.007) Prec@5 73.047 (72.545)
Epoch: [93][680/5005] Time 0.216 (0.213) Data 0.042 (0.049) Loss 2.4237 (2.3180) Prec@1 49.219 (47.010) Prec@5 71.484 (72.549)
Epoch: [93][690/5005] Time 0.227 (0.213) Data 0.043 (0.049) Loss 2.1823 (2.3168) Prec@1 46.875 (47.024) Prec@5 76.562 (72.569)
Epoch: [93][700/5005] Time 0.222 (0.213) Data 0.046 (0.049) Loss 2.3879 (2.3159) Prec@1 44.922 (47.051) Prec@5 71.094 (72.574)
Epoch: [93][710/5005] Time 0.218 (0.213) Data 0.042 (0.049) Loss 2.1840 (2.3160) Prec@1 45.703 (47.063) Prec@5 73.047 (72.569)
Epoch: [93][720/5005] Time 0.214 (0.213) Data 0.040 (0.049) Loss 2.2080 (2.3151) Prec@1 47.656 (47.074) Prec@5 74.219 (72.583)
Epoch: [93][730/5005] Time 0.205 (0.212) Data 0.051 (0.049) Loss 2.4366 (2.3153) Prec@1 44.141 (47.075) Prec@5 69.922 (72.571)
Epoch: [93][740/5005] Time 0.212 (0.212) Data 0.047 (0.049) Loss 2.2483 (2.3152) Prec@1 51.953 (47.086) Prec@5 74.219 (72.560)
Epoch: [93][750/5005] Time 0.211 (0.212) Data 0.045 (0.049) Loss 2.2055 (2.3152) Prec@1 43.750 (47.092) Prec@5 75.000 (72.563)
Epoch: [93][760/5005] Time 0.213 (0.212) Data 0.043 (0.049) Loss 2.3658 (2.3154) Prec@1 45.703 (47.088) Prec@5 73.438 (72.567)
Epoch: [93][770/5005] Time 0.211 (0.212) Data 0.046 (0.049) Loss 2.2644 (2.3140) Prec@1 48.438 (47.113) Prec@5 73.438 (72.574)
Epoch: [93][780/5005] Time 0.214 (0.212) Data 0.047 (0.049) Loss 2.3753 (2.3134) Prec@1 48.438 (47.121) Prec@5 70.703 (72.579)
Epoch: [93][790/5005] Time 0.209 (0.212) Data 0.047 (0.049) Loss 2.3467 (2.3131) Prec@1 48.047 (47.129) Prec@5 70.703 (72.580)
Epoch: [93][800/5005] Time 0.221 (0.212) Data 0.046 (0.049) Loss 2.1315 (2.3123) Prec@1 49.219 (47.146) Prec@5 76.562 (72.599)
Epoch: [93][810/5005] Time 0.203 (0.212) Data 0.045 (0.049) Loss 2.2827 (2.3123) Prec@1 50.391 (47.152) Prec@5 74.219 (72.609)
Epoch: [93][820/5005] Time 0.210 (0.212) Data 0.049 (0.049) Loss 2.4331 (2.3130) Prec@1 43.359 (47.141) Prec@5 70.703 (72.602)
Epoch: [93][830/5005] Time 0.207 (0.212) Data 0.046 (0.049) Loss 2.3738 (2.3130) Prec@1 46.094 (47.138) Prec@5 71.484 (72.594)
Epoch: [93][840/5005] Time 0.212 (0.212) Data 0.041 (0.049) Loss 2.3446 (2.3132) Prec@1 47.266 (47.140) Prec@5 71.484 (72.590)
Epoch: [93][850/5005] Time 0.205 (0.212) Data 0.046 (0.049) Loss 2.4889 (2.3127) Prec@1 46.875 (47.161) Prec@5 72.656 (72.599)
Epoch: [93][860/5005] Time 0.207 (0.212) Data 0.049 (0.049) Loss 2.3336 (2.3132) Prec@1 46.484 (47.172) Prec@5 69.531 (72.587)
Epoch: [93][870/5005] Time 0.217 (0.212) Data 0.052 (0.049) Loss 2.3446 (2.3120) Prec@1 44.531 (47.197) Prec@5 71.484 (72.602)
Epoch: [93][880/5005] Time 0.207 (0.212) Data 0.049 (0.049) Loss 2.2812 (2.3125) Prec@1 46.094 (47.197) Prec@5 71.875 (72.594)
Epoch: [93][890/5005] Time 0.212 (0.212) Data 0.042 (0.049) Loss 2.4347 (2.3118) Prec@1 44.141 (47.193) Prec@5 68.359 (72.593)
Epoch: [93][900/5005] Time 0.193 (0.212) Data 0.063 (0.049) Loss 2.1433 (2.3116) Prec@1 48.438 (47.183) Prec@5 75.000 (72.604)
Epoch: [93][910/5005] Time 0.213 (0.212) Data 0.048 (0.049) Loss 2.3572 (2.3113) Prec@1 44.141 (47.187) Prec@5 72.656 (72.609)
Epoch: [93][920/5005] Time 0.193 (0.212) Data 0.052 (0.049) Loss 2.4514 (2.3107) Prec@1 43.359 (47.202) Prec@5 68.359 (72.619)
Epoch: [93][930/5005] Time 0.218 (0.212) Data 0.042 (0.049) Loss 2.3348 (2.3104) Prec@1 47.266 (47.206) Prec@5 71.484 (72.616)
Epoch: [93][940/5005] Time 0.215 (0.212) Data 0.044 (0.049) Loss 2.0834 (2.3105) Prec@1 50.000 (47.217) Prec@5 75.391 (72.611)
Epoch: [93][950/5005] Time 0.213 (0.212) Data 0.044 (0.049) Loss 2.4051 (2.3114) Prec@1 42.969 (47.206) Prec@5 74.219 (72.594)
Epoch: [93][960/5005] Time 0.212 (0.212) Data 0.044 (0.049) Loss 2.5641 (2.3113) Prec@1 46.484 (47.204) Prec@5 67.188 (72.596)
Epoch: [93][970/5005] Time 0.221 (0.212) Data 0.045 (0.048) Loss 2.1228 (2.3115) Prec@1 52.344 (47.204) Prec@5 73.828 (72.591)
Epoch: [93][980/5005] Time 0.210 (0.212) Data 0.047 (0.048) Loss 2.1996 (2.3108) Prec@1 52.734 (47.224) Prec@5 72.266 (72.606)
Epoch: [93][990/5005] Time 0.216 (0.212) Data 0.042 (0.048) Loss 2.3136 (2.3113) Prec@1 48.828 (47.218) Prec@5 74.219 (72.601)
Epoch: [93][1000/5005] Time 0.212 (0.212) Data 0.044 (0.048) Loss 2.3623 (2.3113) Prec@1 48.438 (47.213) Prec@5 72.656 (72.602)
Epoch: [93][1010/5005] Time 0.215 (0.212) Data 0.044 (0.048) Loss 2.2785 (2.3111) Prec@1 47.656 (47.218) Prec@5 74.219 (72.600)
Epoch: [93][1020/5005] Time 0.213 (0.212) Data 0.044 (0.048) Loss 2.1857 (2.3120) Prec@1 47.656 (47.206) Prec@5 75.391 (72.585)
Epoch: [93][1030/5005] Time 0.215 (0.212) Data 0.045 (0.048) Loss 2.1191 (2.3113) Prec@1 51.172 (47.212) Prec@5 74.219 (72.595)
Epoch: [93][1040/5005] Time 0.205 (0.212) Data 0.060 (0.048) Loss 2.3808 (2.3112) Prec@1 41.016 (47.210) Prec@5 71.875 (72.590)
Epoch: [93][1050/5005] Time 0.204 (0.212) Data 0.053 (0.048) Loss 2.4380 (2.3113) Prec@1 42.969 (47.194) Prec@5 70.703 (72.580)
Epoch: [93][1060/5005] Time 0.210 (0.212) Data 0.046 (0.048) Loss 2.4739 (2.3117) Prec@1 44.141 (47.197) Prec@5 71.875 (72.575)
Epoch: [93][1070/5005] Time 0.206 (0.212) Data 0.062 (0.048) Loss 2.2737 (2.3119) Prec@1 47.266 (47.197) Prec@5 74.609 (72.575)
Epoch: [93][1080/5005] Time 0.223 (0.212) Data 0.046 (0.048) Loss 2.3898 (2.3120) Prec@1 43.750 (47.190) Prec@5 71.875 (72.571)
Epoch: [93][1090/5005] Time 0.206 (0.212) Data 0.047 (0.048) Loss 2.1486 (2.3111) Prec@1 48.438 (47.196) Prec@5 75.000 (72.591)
Epoch: [93][1100/5005] Time 0.218 (0.212) Data 0.043 (0.048) Loss 2.2540 (2.3110) Prec@1 49.219 (47.206) Prec@5 72.266 (72.592)
Epoch: [93][1110/5005] Time 0.214 (0.212) Data 0.042 (0.048) Loss 2.3027 (2.3113) Prec@1 45.312 (47.211) Prec@5 72.266 (72.592)
Epoch: [93][1120/5005] Time 0.213 (0.212) Data 0.043 (0.048) Loss 2.2097 (2.3104) Prec@1 48.438 (47.224) Prec@5 74.609 (72.606)
Epoch: [93][1130/5005] Time 0.219 (0.212) Data 0.048 (0.048) Loss 2.4509 (2.3109) Prec@1 44.922 (47.218) Prec@5 70.703 (72.596)
Epoch: [93][1140/5005] Time 0.211 (0.212) Data 0.039 (0.048) Loss 2.3014 (2.3103) Prec@1 48.438 (47.232) Prec@5 72.266 (72.602)
Epoch: [93][1150/5005] Time 0.213 (0.212) Data 0.045 (0.048) Loss 2.2668 (2.3099) Prec@1 42.578 (47.241) Prec@5 70.312 (72.608)
Epoch: [93][1160/5005] Time 0.207 (0.212) Data 0.042 (0.048) Loss 2.1547 (2.3097) Prec@1 49.609 (47.253) Prec@5 76.562 (72.614)
Epoch: [93][1170/5005] Time 0.211 (0.212) Data 0.056 (0.048) Loss 2.1700 (2.3097) Prec@1 47.656 (47.251) Prec@5 74.219 (72.617)
Epoch: [93][1180/5005] Time 0.210 (0.212) Data 0.045 (0.048) Loss 2.3390 (2.3094) Prec@1 48.438 (47.252) Prec@5 71.484 (72.612)
Epoch: [93][1190/5005] Time 0.214 (0.212) Data 0.045 (0.048) Loss 2.2132 (2.3090) Prec@1 46.094 (47.258) Prec@5 76.172 (72.627)
Epoch: [93][1200/5005] Time 0.208 (0.212) Data 0.048 (0.048) Loss 2.4877 (2.3091) Prec@1 41.797 (47.258) Prec@5 70.703 (72.628)
Epoch: [93][1210/5005] Time 0.200 (0.212) Data 0.044 (0.048) Loss 2.2031 (2.3095) Prec@1 43.359 (47.249) Prec@5 75.391 (72.625)
Epoch: [93][1220/5005] Time 0.212 (0.212) Data 0.044 (0.048) Loss 2.2312 (2.3097) Prec@1 46.094 (47.254) Prec@5 74.219 (72.624)
Epoch: [93][1230/5005] Time 0.213 (0.212) Data 0.043 (0.048) Loss 2.2779 (2.3096) Prec@1 48.047 (47.237) Prec@5 74.219 (72.628)
Epoch: [93][1240/5005] Time 0.213 (0.212) Data 0.045 (0.048) Loss 2.3184 (2.3098) Prec@1 46.875 (47.235) Prec@5 69.922 (72.625)
Epoch: [93][1250/5005] Time 0.216 (0.212) Data 0.041 (0.048) Loss 2.4403 (2.3099) Prec@1 42.188 (47.232) Prec@5 69.531 (72.615)
Epoch: [93][1260/5005] Time 0.201 (0.212) Data 0.043 (0.048) Loss 2.1161 (2.3093) Prec@1 47.266 (47.235) Prec@5 75.391 (72.620)
Epoch: [93][1270/5005] Time 0.198 (0.212) Data 0.045 (0.048) Loss 2.4336 (2.3098) Prec@1 41.797 (47.232) Prec@5 69.531 (72.609)
Epoch: [93][1280/5005] Time 0.216 (0.212) Data 0.043 (0.048) Loss 2.2388 (2.3101) Prec@1 46.484 (47.220) Prec@5 70.312 (72.602)
Epoch: [93][1290/5005] Time 0.207 (0.212) Data 0.048 (0.048) Loss 2.0883 (2.3098) Prec@1 53.125 (47.226) Prec@5 77.734 (72.611)
Epoch: [93][1300/5005] Time 0.216 (0.212) Data 0.044 (0.048) Loss 2.1171 (2.3098) Prec@1 51.953 (47.218) Prec@5 73.828 (72.607)
Epoch: [93][1310/5005] Time 0.197 (0.212) Data 0.049 (0.048) Loss 2.3647 (2.3095) Prec@1 44.922 (47.214) Prec@5 74.219 (72.616)
Epoch: [93][1320/5005] Time 0.210 (0.212) Data 0.044 (0.048) Loss 2.3947 (2.3093) Prec@1 50.391 (47.216) Prec@5 73.047 (72.625)
Epoch: [93][1330/5005] Time 0.214 (0.212) Data 0.044 (0.048) Loss 2.4594 (2.3095) Prec@1 42.969 (47.210) Prec@5 71.094 (72.627)
Epoch: [93][1340/5005] Time 0.217 (0.212) Data 0.043 (0.048) Loss 2.2092 (2.3094) Prec@1 46.875 (47.212) Prec@5 75.391 (72.632)
Epoch: [93][1350/5005] Time 0.195 (0.212) Data 0.041 (0.048) Loss 2.6239 (2.3096) Prec@1 42.188 (47.205) Prec@5 69.922 (72.633)
Epoch: [93][1360/5005] Time 0.208 (0.212) Data 0.057 (0.048) Loss 2.0528 (2.3094) Prec@1 50.000 (47.210) Prec@5 75.781 (72.630)
Epoch: [93][1370/5005] Time 0.214 (0.212) Data 0.043 (0.048) Loss 2.2757 (2.3090) Prec@1 45.312 (47.204) Prec@5 73.438 (72.630)
Epoch: [93][1380/5005] Time 0.206 (0.212) Data 0.043 (0.048) Loss 2.3797 (2.3091) Prec@1 46.875 (47.203) Prec@5 73.047 (72.635)
Epoch: [93][1390/5005] Time 0.208 (0.212) Data 0.044 (0.048) Loss 2.2780 (2.3092) Prec@1 48.047 (47.207) Prec@5 71.875 (72.632)
Epoch: [93][1400/5005] Time 0.212 (0.212) Data 0.047 (0.048) Loss 2.3697 (2.3086) Prec@1 45.703 (47.228) Prec@5 73.047 (72.642)
Epoch: [93][1410/5005] Time 0.208 (0.212) Data 0.052 (0.048) Loss 2.3207 (2.3084) Prec@1 47.266 (47.232) Prec@5 71.875 (72.644)
Epoch: [93][1420/5005] Time 0.216 (0.212) Data 0.043 (0.048) Loss 2.5450 (2.3083) Prec@1 43.750 (47.236) Prec@5 67.188 (72.642)
Epoch: [93][1430/5005] Time 0.209 (0.212) Data 0.047 (0.048) Loss 2.0131 (2.3080) Prec@1 50.781 (47.242) Prec@5 78.516 (72.644)
Epoch: [93][1440/5005] Time 0.205 (0.212) Data 0.047 (0.048) Loss 2.0474 (2.3076) Prec@1 54.688 (47.252) Prec@5 76.953 (72.647)
Epoch: [93][1450/5005] Time 0.199 (0.211) Data 0.051 (0.048) Loss 2.3334 (2.3074) Prec@1 48.438 (47.258) Prec@5 70.312 (72.648)
Epoch: [93][1460/5005] Time 0.195 (0.211) Data 0.045 (0.048) Loss 2.3801 (2.3074) Prec@1 43.359 (47.252) Prec@5 70.312 (72.648)
Epoch: [93][1470/5005] Time 0.196 (0.211) Data 0.046 (0.048) Loss 2.5475 (2.3076) Prec@1 43.750 (47.248) Prec@5 68.750 (72.644)
Epoch: [93][1480/5005] Time 0.206 (0.211) Data 0.044 (0.048) Loss 2.1117 (2.3074) Prec@1 48.438 (47.251) Prec@5 77.344 (72.644)
Epoch: [93][1490/5005] Time 0.215 (0.211) Data 0.044 (0.048) Loss 2.4353 (2.3071) Prec@1 43.750 (47.250) Prec@5 72.266 (72.656)
Epoch: [93][1500/5005] Time 0.204 (0.211) Data 0.039 (0.048) Loss 2.3104 (2.3069) Prec@1 46.484 (47.254) Prec@5 73.047 (72.668)
Epoch: [93][1510/5005] Time 0.198 (0.211) Data 0.045 (0.048) Loss 2.2992 (2.3067) Prec@1 46.875 (47.260) Prec@5 71.875 (72.676)
Epoch: [93][1520/5005] Time 0.214 (0.211) Data 0.043 (0.048) Loss 2.3683 (2.3067) Prec@1 47.656 (47.256) Prec@5 73.828 (72.681)
Epoch: [93][1530/5005] Time 0.205 (0.211) Data 0.057 (0.048) Loss 2.4087 (2.3068) Prec@1 45.312 (47.255) Prec@5 70.703 (72.677)
Epoch: [93][1540/5005] Time 0.202 (0.211) Data 0.047 (0.048) Loss 2.3770 (2.3070) Prec@1 46.875 (47.250) Prec@5 69.141 (72.673)
Epoch: [93][1550/5005] Time 0.214 (0.211) Data 0.044 (0.048) Loss 2.3225 (2.3067) Prec@1 44.531 (47.252) Prec@5 74.219 (72.676)
Epoch: [93][1560/5005] Time 0.214 (0.211) Data 0.046 (0.048) Loss 2.1759 (2.3069) Prec@1 47.656 (47.252) Prec@5 74.219 (72.676)
Epoch: [93][1570/5005] Time 0.209 (0.211) Data 0.043 (0.048) Loss 2.1618 (2.3065) Prec@1 51.172 (47.263) Prec@5 74.219 (72.683)
Epoch: [93][1580/5005] Time 0.214 (0.211) Data 0.043 (0.048) Loss 2.1624 (2.3066) Prec@1 49.219 (47.259) Prec@5 76.172 (72.679)
Epoch: [93][1590/5005] Time 0.210 (0.211) Data 0.053 (0.048) Loss 2.4108 (2.3068) Prec@1 41.797 (47.243) Prec@5 71.484 (72.672)
Epoch: [93][1600/5005] Time 0.209 (0.211) Data 0.047 (0.048) Loss 2.3608 (2.3066) Prec@1 48.828 (47.253) Prec@5 71.094 (72.675)
Epoch: [93][1610/5005] Time 0.201 (0.211) Data 0.047 (0.048) Loss 2.3725 (2.3067) Prec@1 44.922 (47.254) Prec@5 73.047 (72.674)
Epoch: [93][1620/5005] Time 0.213 (0.211) Data 0.050 (0.048) Loss 2.4063 (2.3063) Prec@1 42.969 (47.262) Prec@5 71.875 (72.676)
Epoch: [93][1630/5005] Time 0.204 (0.211) Data 0.048 (0.048) Loss 2.2197 (2.3062) Prec@1 48.047 (47.266) Prec@5 73.828 (72.678)
Epoch: [93][1640/5005] Time 0.205 (0.211) Data 0.045 (0.048) Loss 2.2933 (2.3064) Prec@1 50.391 (47.262) Prec@5 72.656 (72.677)
Epoch: [93][1650/5005] Time 0.204 (0.211) Data 0.058 (0.048) Loss 2.3931 (2.3064) Prec@1 48.438 (47.266) Prec@5 69.531 (72.673)
Epoch: [93][1660/5005] Time 0.210 (0.211) Data 0.047 (0.048) Loss 2.1448 (2.3059) Prec@1 50.391 (47.275) Prec@5 75.391 (72.677)
Epoch: [93][1670/5005] Time 0.199 (0.211) Data 0.053 (0.048) Loss 2.0266 (2.3058) Prec@1 52.344 (47.281) Prec@5 76.953 (72.679)
Epoch: [93][1680/5005] Time 0.192 (0.211) Data 0.052 (0.048) Loss 2.3804 (2.3059) Prec@1 49.609 (47.286) Prec@5 73.047 (72.680)
Epoch: [93][1690/5005] Time 0.210 (0.211) Data 0.055 (0.048) Loss 2.0626 (2.3056) Prec@1 49.219 (47.282) Prec@5 76.172 (72.683)
Epoch: [93][1700/5005] Time 0.222 (0.211) Data 0.046 (0.048) Loss 2.2752 (2.3052) Prec@1 43.750 (47.280) Prec@5 75.000 (72.692)
Epoch: [93][1710/5005] Time 0.210 (0.211) Data 0.048 (0.048) Loss 2.2157 (2.3045) Prec@1 46.094 (47.288) Prec@5 75.391 (72.702)
Epoch: [93][1720/5005] Time 0.195 (0.211) Data 0.047 (0.048) Loss 2.4122 (2.3048) Prec@1 44.141 (47.284) Prec@5 72.266 (72.700)
Epoch: [93][1730/5005] Time 0.207 (0.211) Data 0.053 (0.048) Loss 2.2095 (2.3046) Prec@1 46.094 (47.278) Prec@5 76.562 (72.708)
Epoch: [93][1740/5005] Time 0.204 (0.211) Data 0.043 (0.048) Loss 2.4270 (2.3043) Prec@1 44.531 (47.288) Prec@5 71.875 (72.715)
Epoch: [93][1750/5005] Time 0.194 (0.211) Data 0.058 (0.048) Loss 2.3018 (2.3040) Prec@1 46.094 (47.294) Prec@5 75.000 (72.716)
Epoch: [93][1760/5005] Time 0.202 (0.211) Data 0.043 (0.048) Loss 2.0617 (2.3037) Prec@1 51.562 (47.300) Prec@5 78.906 (72.723)
Epoch: [93][1770/5005] Time 0.202 (0.211) Data 0.051 (0.048) Loss 2.2516 (2.3034) Prec@1 48.438 (47.307) Prec@5 72.656 (72.730)
Epoch: [93][1780/5005] Time 0.207 (0.211) Data 0.048 (0.048) Loss 2.1570 (2.3032) Prec@1 51.172 (47.315) Prec@5 73.828 (72.731)
Epoch: [93][1790/5005] Time 0.213 (0.211) Data 0.045 (0.048) Loss 2.1404 (2.3029) Prec@1 49.609 (47.319) Prec@5 75.000 (72.735)
Epoch: [93][1800/5005] Time 0.198 (0.211) Data 0.045 (0.048) Loss 2.3051 (2.3027) Prec@1 47.266 (47.327) Prec@5 74.219 (72.743)
Epoch: [93][1810/5005] Time 0.205 (0.211) Data 0.057 (0.048) Loss 2.2340 (2.3027) Prec@1 49.609 (47.328) Prec@5 72.656 (72.737)
Epoch: [93][1820/5005] Time 0.209 (0.211) Data 0.047 (0.048) Loss 2.2731 (2.3026) Prec@1 43.359 (47.327) Prec@5 72.266 (72.742)
Epoch: [93][1830/5005] Time 0.205 (0.211) Data 0.042 (0.048) Loss 2.1147 (2.3022) Prec@1 51.562 (47.332) Prec@5 75.781 (72.751)
Epoch: [93][1840/5005] Time 0.219 (0.211) Data 0.046 (0.048) Loss 2.2967 (2.3019) Prec@1 46.484 (47.332) Prec@5 73.438 (72.753)
Epoch: [93][1850/5005] Time 0.210 (0.211) Data 0.047 (0.048) Loss 2.2773 (2.3015) Prec@1 51.172 (47.341) Prec@5 71.875 (72.759)
Epoch: [93][1860/5005] Time 0.216 (0.211) Data 0.051 (0.048) Loss 2.2060 (2.3014) Prec@1 49.609 (47.338) Prec@5 74.609 (72.762)
Epoch: [93][1870/5005] Time 0.211 (0.211) Data 0.044 (0.048) Loss 2.5190 (2.3018) Prec@1 45.312 (47.330) Prec@5 69.922 (72.760)
Epoch: [93][1880/5005] Time 0.210 (0.211) Data 0.063 (0.048) Loss 2.3284 (2.3019) Prec@1 45.703 (47.327) Prec@5 72.266 (72.757)
Epoch: [93][1890/5005] Time 0.215 (0.211) Data 0.045 (0.048) Loss 2.3470 (2.3017) Prec@1 46.484 (47.334) Prec@5 71.875 (72.759)
Epoch: [93][1900/5005] Time 0.216 (0.211) Data 0.044 (0.048) Loss 2.3557 (2.3021) Prec@1 44.531 (47.323) Prec@5 74.219 (72.753)
Epoch: [93][1910/5005] Time 0.206 (0.211) Data 0.063 (0.048) Loss 2.3497 (2.3021) Prec@1 43.359 (47.319) Prec@5 71.484 (72.754)
Epoch: [93][1920/5005] Time 0.213 (0.211) Data 0.044 (0.048) Loss 2.0891 (2.3019) Prec@1 52.734 (47.313) Prec@5 76.953 (72.758)
Epoch: [93][1930/5005] Time 0.219 (0.211) Data 0.043 (0.048) Loss 2.2630 (2.3017) Prec@1 48.047 (47.311) Prec@5 73.438 (72.762)
Epoch: [93][1940/5005] Time 0.208 (0.211) Data 0.059 (0.048) Loss 2.2725 (2.3016) Prec@1 48.047 (47.310) Prec@5 72.266 (72.764)
Epoch: [93][1950/5005] Time 0.219 (0.211) Data 0.041 (0.048) Loss 2.5041 (2.3015) Prec@1 40.625 (47.307) Prec@5 68.359 (72.767)
Epoch: [93][1960/5005] Time 0.210 (0.211) Data 0.050 (0.048) Loss 2.1636 (2.3013) Prec@1 45.312 (47.306) Prec@5 72.656 (72.769)
Epoch: [93][1970/5005] Time 0.213 (0.211) Data 0.050 (0.048) Loss 2.2774 (2.3013) Prec@1 47.266 (47.303) Prec@5 71.094 (72.766)
Epoch: [93][1980/5005] Time 0.195 (0.211) Data 0.062 (0.048) Loss 2.2058 (2.3013) Prec@1 46.094 (47.302) Prec@5 73.828 (72.768)
Epoch: [93][1990/5005] Time 0.209 (0.211) Data 0.045 (0.048) Loss 2.1957 (2.3012) Prec@1 46.484 (47.305) Prec@5 74.219 (72.771)
Epoch: [93][2000/5005] Time 0.213 (0.211) Data 0.044 (0.048) Loss 2.1737 (2.3015) Prec@1 51.953 (47.303) Prec@5 75.781 (72.765)
Epoch: [93][2010/5005] Time 0.200 (0.211) Data 0.038 (0.048) Loss 2.2561 (2.3016) Prec@1 44.922 (47.296) Prec@5 74.609 (72.760)
Epoch: [93][2020/5005] Time 0.204 (0.211) Data 0.043 (0.048) Loss 2.3358 (2.3017) Prec@1 50.781 (47.295) Prec@5 71.875 (72.756)
Epoch: [93][2030/5005] Time 0.210 (0.211) Data 0.044 (0.048) Loss 2.1681 (2.3020) Prec@1 48.828 (47.293) Prec@5 75.000 (72.750)
Epoch: [93][2040/5005] Time 0.193 (0.211) Data 0.043 (0.048) Loss 2.0414 (2.3017) Prec@1 50.000 (47.294) Prec@5 75.391 (72.757)
Epoch: [93][2050/5005] Time 0.204 (0.211) Data 0.045 (0.048) Loss 2.5102 (2.3015) Prec@1 45.703 (47.300) Prec@5 68.750 (72.759)
Epoch: [93][2060/5005] Time 0.211 (0.211) Data 0.048 (0.048) Loss 2.2313 (2.3013) Prec@1 46.875 (47.301) Prec@5 75.000 (72.765)
Epoch: [93][2070/5005] Time 0.201 (0.211) Data 0.042 (0.048) Loss 2.4754 (2.3016) Prec@1 42.188 (47.294) Prec@5 72.656 (72.758)
Epoch: [93][2080/5005] Time 0.206 (0.211) Data 0.041 (0.048) Loss 2.2693 (2.3015) Prec@1 46.875 (47.298) Prec@5 73.828 (72.755)
Epoch: [93][2090/5005] Time 0.214 (0.211) Data 0.045 (0.048) Loss 2.2030 (2.3012) Prec@1 49.219 (47.297) Prec@5 74.219 (72.756)
Epoch: [93][2100/5005] Time 0.200 (0.211) Data 0.048 (0.048) Loss 2.3006 (2.3010) Prec@1 44.922 (47.302) Prec@5 73.828 (72.756)
Epoch: [93][2110/5005] Time 0.216 (0.211) Data 0.047 (0.048) Loss 2.1879 (2.3010) Prec@1 51.172 (47.310) Prec@5 74.219 (72.760)
Epoch: [93][2120/5005] Time 0.207 (0.211) Data 0.063 (0.048) Loss 2.2119 (2.3007) Prec@1 52.344 (47.313) Prec@5 72.266 (72.763)
Epoch: [93][2130/5005] Time 0.201 (0.211) Data 0.061 (0.048) Loss 2.3625 (2.3003) Prec@1 46.875 (47.325) Prec@5 69.922 (72.772)
Epoch: [93][2140/5005] Time 0.216 (0.211) Data 0.042 (0.048) Loss 2.1036 (2.3002) Prec@1 52.344 (47.326) Prec@5 75.781 (72.771)
Epoch: [93][2150/5005] Time 0.211 (0.211) Data 0.045 (0.048) Loss 2.1682 (2.3000) Prec@1 49.609 (47.330) Prec@5 75.391 (72.775)
Epoch: [93][2160/5005] Time 0.206 (0.211) Data 0.044 (0.048) Loss 2.2381 (2.2998) Prec@1 48.438 (47.332) Prec@5 76.562 (72.779)
Epoch: [93][2170/5005] Time 0.206 (0.211) Data 0.041 (0.048) Loss 2.1577 (2.2995) Prec@1 48.047 (47.337) Prec@5 75.000 (72.787)
Epoch: [93][2180/5005] Time 0.206 (0.211) Data 0.055 (0.048) Loss 2.4181 (2.2996) Prec@1 49.609 (47.338) Prec@5 67.188 (72.786)
Epoch: [93][2190/5005] Time 0.216 (0.211) Data 0.046 (0.048) Loss 2.4799 (2.2997) Prec@1 43.359 (47.336) Prec@5 68.750 (72.782)
Epoch: [93][2200/5005] Time 0.191 (0.211) Data 0.047 (0.048) Loss 2.4082 (2.2999) Prec@1 47.656 (47.334) Prec@5 72.656 (72.780)
Epoch: [93][2210/5005] Time 0.213 (0.211) Data 0.043 (0.048) Loss 2.3155 (2.3001) Prec@1 48.438 (47.333) Prec@5 73.828 (72.778)
Epoch: [93][2220/5005] Time 0.200 (0.211) Data 0.059 (0.048) Loss 2.3925 (2.2999) Prec@1 47.266 (47.333) Prec@5 68.750 (72.781)
Epoch: [93][2230/5005] Time 0.197 (0.211) Data 0.048 (0.048) Loss 2.2610 (2.3000) Prec@1 51.172 (47.331) Prec@5 74.219 (72.776)
Epoch: [93][2240/5005] Time 0.211 (0.211) Data 0.047 (0.048) Loss 2.4661 (2.3002) Prec@1 46.094 (47.322) Prec@5 70.703 (72.771)
Epoch: [93][2250/5005] Time 0.206 (0.211) Data 0.042 (0.048) Loss 2.1428 (2.3004) Prec@1 48.828 (47.316) Prec@5 73.828 (72.764)
Epoch: [93][2260/5005] Time 0.210 (0.211) Data 0.068 (0.048) Loss 2.2563 (2.3001) Prec@1 45.312 (47.319) Prec@5 71.875 (72.767)
Epoch: [93][2270/5005] Time 0.204 (0.211) Data 0.045 (0.048) Loss 2.3417 (2.2999) Prec@1 47.266 (47.324) Prec@5 70.312 (72.770)
Epoch: [93][2280/5005] Time 0.211 (0.211) Data 0.041 (0.048) Loss 2.2318 (2.2998) Prec@1 45.703 (47.326) Prec@5 73.047 (72.775)
Epoch: [93][2290/5005] Time 0.213 (0.211) Data 0.042 (0.048) Loss 2.3094 (2.2999) Prec@1 49.609 (47.326) Prec@5 73.828 (72.776)
Epoch: [93][2300/5005] Time 0.202 (0.211) Data 0.043 (0.048) Loss 2.3383 (2.2998) Prec@1 42.969 (47.327) Prec@5 73.047 (72.780)
Epoch: [93][2310/5005] Time 0.208 (0.211) Data 0.047 (0.048) Loss 2.0674 (2.2996) Prec@1 53.906 (47.331) Prec@5 76.562 (72.783)
Epoch: [93][2320/5005] Time 0.212 (0.211) Data 0.042 (0.048) Loss 2.3653 (2.2997) Prec@1 46.484 (47.328) Prec@5 73.828 (72.781)
Epoch: [93][2330/5005] Time 0.196 (0.211) Data 0.043 (0.048) Loss 2.3107 (2.2996) Prec@1 47.266 (47.326) Prec@5 73.047 (72.784)
Epoch: [93][2340/5005] Time 0.216 (0.211) Data 0.042 (0.048) Loss 2.1906 (2.2993) Prec@1 48.438 (47.328) Prec@5 74.219 (72.787)
Epoch: [93][2350/5005] Time 0.205 (0.211) Data 0.043 (0.048) Loss 2.2595 (2.2992) Prec@1 49.609 (47.329) Prec@5 72.656 (72.788)
Epoch: [93][2360/5005] Time 0.197 (0.210) Data 0.058 (0.048) Loss 2.2501 (2.2992) Prec@1 46.094 (47.331) Prec@5 73.047 (72.788)
Epoch: [93][2370/5005] Time 0.210 (0.210) Data 0.050 (0.048) Loss 2.4517 (2.2993) Prec@1 45.703 (47.331) Prec@5 67.969 (72.787)
Epoch: [93][2380/5005] Time 0.213 (0.210) Data 0.048 (0.048) Loss 2.2869 (2.2992) Prec@1 53.125 (47.335) Prec@5 72.656 (72.789)
Epoch: [93][2390/5005] Time 0.205 (0.210) Data 0.053 (0.048) Loss 2.3824 (2.2991) Prec@1 44.922 (47.336) Prec@5 71.875 (72.791)
Epoch: [93][2400/5005] Time 0.210 (0.210) Data 0.041 (0.048) Loss 2.1847 (2.2991) Prec@1 50.000 (47.336) Prec@5 72.656 (72.791)
Epoch: [93][2410/5005] Time 0.214 (0.210) Data 0.048 (0.048) Loss 2.5507 (2.2993) Prec@1 48.047 (47.339) Prec@5 67.188 (72.787)
Epoch: [93][2420/5005] Time 0.205 (0.210) Data 0.048 (0.048) Loss 2.3528 (2.2991) Prec@1 45.703 (47.345) Prec@5 70.312 (72.793)
Epoch: [93][2430/5005] Time 0.200 (0.210) Data 0.045 (0.048) Loss 2.1450 (2.2993) Prec@1 48.438 (47.339) Prec@5 74.609 (72.789)
Epoch: [93][2440/5005] Time 0.218 (0.210) Data 0.041 (0.048) Loss 1.9795 (2.2992) Prec@1 54.688 (47.347) Prec@5 78.906 (72.790)
Epoch: [93][2450/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.2830 (2.2990) Prec@1 49.219 (47.350) Prec@5 75.000 (72.790)
Epoch: [93][2460/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.1705 (2.2988) Prec@1 49.609 (47.354) Prec@5 73.047 (72.791)
Epoch: [93][2470/5005] Time 0.207 (0.210) Data 0.047 (0.048) Loss 2.1615 (2.2986) Prec@1 49.219 (47.354) Prec@5 72.656 (72.794)
Epoch: [93][2480/5005] Time 0.212 (0.210) Data 0.047 (0.048) Loss 2.3670 (2.2988) Prec@1 44.531 (47.351) Prec@5 74.219 (72.791)
Epoch: [93][2490/5005] Time 0.206 (0.210) Data 0.038 (0.048) Loss 2.1548 (2.2988) Prec@1 50.781 (47.351) Prec@5 73.828 (72.792)
Epoch: [93][2500/5005] Time 0.200 (0.210) Data 0.050 (0.048) Loss 2.3296 (2.2987) Prec@1 46.875 (47.357) Prec@5 70.703 (72.793)
Epoch: [93][2510/5005] Time 0.215 (0.210) Data 0.046 (0.048) Loss 2.4617 (2.2987) Prec@1 46.094 (47.355) Prec@5 71.875 (72.793)
Epoch: [93][2520/5005] Time 0.212 (0.210) Data 0.048 (0.048) Loss 2.1553 (2.2987) Prec@1 52.344 (47.358) Prec@5 73.828 (72.794)
Epoch: [93][2530/5005] Time 0.202 (0.210) Data 0.042 (0.048) Loss 2.5139 (2.2988) Prec@1 44.141 (47.357) Prec@5 69.531 (72.789)
Epoch: [93][2540/5005] Time 0.209 (0.210) Data 0.044 (0.048) Loss 2.3037 (2.2988) Prec@1 44.922 (47.361) Prec@5 73.438 (72.788)
Epoch: [93][2550/5005] Time 0.202 (0.210) Data 0.047 (0.048) Loss 2.1418 (2.2987) Prec@1 48.047 (47.365) Prec@5 77.344 (72.790)
Epoch: [93][2560/5005] Time 0.208 (0.210) Data 0.040 (0.048) Loss 2.5253 (2.2989) Prec@1 41.016 (47.362) Prec@5 69.531 (72.788)
Epoch: [93][2570/5005] Time 0.212 (0.210) Data 0.045 (0.048) Loss 2.2900 (2.2989) Prec@1 47.266 (47.363) Prec@5 71.094 (72.789)
Epoch: [93][2580/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.4799 (2.2993) Prec@1 43.750 (47.354) Prec@5 72.266 (72.785)
Epoch: [93][2590/5005] Time 0.207 (0.210) Data 0.043 (0.048) Loss 2.3445 (2.2990) Prec@1 48.828 (47.362) Prec@5 73.438 (72.787)
Epoch: [93][2600/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.3155 (2.2992) Prec@1 44.922 (47.361) Prec@5 74.219 (72.783)
Epoch: [93][2610/5005] Time 0.218 (0.210) Data 0.042 (0.048) Loss 2.3594 (2.2989) Prec@1 45.703 (47.370) Prec@5 73.438 (72.787)
Epoch: [93][2620/5005] Time 0.210 (0.210) Data 0.045 (0.048) Loss 2.2468 (2.2989) Prec@1 52.344 (47.375) Prec@5 73.828 (72.789)
Epoch: [93][2630/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.5381 (2.2993) Prec@1 46.875 (47.370) Prec@5 68.359 (72.780)
Epoch: [93][2640/5005] Time 0.210 (0.210) Data 0.042 (0.048) Loss 2.3683 (2.2994) Prec@1 43.359 (47.371) Prec@5 71.094 (72.780)
Epoch: [93][2650/5005] Time 0.205 (0.210) Data 0.041 (0.048) Loss 2.5135 (2.2994) Prec@1 43.359 (47.371) Prec@5 69.531 (72.777)
Epoch: [93][2660/5005] Time 0.210 (0.210) Data 0.058 (0.048) Loss 2.2323 (2.2994) Prec@1 46.484 (47.376) Prec@5 73.047 (72.775)
Epoch: [93][2670/5005] Time 0.202 (0.210) Data 0.060 (0.048) Loss 2.0611 (2.2992) Prec@1 51.172 (47.381) Prec@5 76.562 (72.778)
Epoch: [93][2680/5005] Time 0.210 (0.210) Data 0.059 (0.048) Loss 2.3066 (2.2993) Prec@1 47.266 (47.375) Prec@5 71.484 (72.775)
Epoch: [93][2690/5005] Time 0.217 (0.210) Data 0.043 (0.048) Loss 2.0854 (2.2992) Prec@1 51.172 (47.377) Prec@5 78.125 (72.773)
Epoch: [93][2700/5005] Time 0.200 (0.210) Data 0.043 (0.048) Loss 2.1741 (2.2992) Prec@1 48.438 (47.378) Prec@5 74.219 (72.775)
Epoch: [93][2710/5005] Time 0.213 (0.210) Data 0.042 (0.048) Loss 2.1254 (2.2994) Prec@1 49.609 (47.374) Prec@5 75.000 (72.772)
Epoch: [93][2720/5005] Time 0.215 (0.210) Data 0.046 (0.048) Loss 2.2702 (2.2994) Prec@1 47.266 (47.371) Prec@5 73.828 (72.772)
Epoch: [93][2730/5005] Time 0.203 (0.210) Data 0.048 (0.048) Loss 2.4831 (2.2992) Prec@1 47.266 (47.376) Prec@5 66.406 (72.773)
Epoch: [93][2740/5005] Time 0.206 (0.210) Data 0.042 (0.048) Loss 2.3104 (2.2992) Prec@1 48.047 (47.376) Prec@5 72.656 (72.772)
Epoch: [93][2750/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.2033 (2.2992) Prec@1 50.781 (47.377) Prec@5 75.000 (72.773)
Epoch: [93][2760/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.2132 (2.2992) Prec@1 50.391 (47.379) Prec@5 74.609 (72.775)
Epoch: [93][2770/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.2233 (2.2993) Prec@1 49.219 (47.375) Prec@5 75.000 (72.773)
Epoch: [93][2780/5005] Time 0.209 (0.210) Data 0.046 (0.048) Loss 2.5140 (2.2994) Prec@1 42.969 (47.373) Prec@5 70.703 (72.770)
Epoch: [93][2790/5005] Time 0.209 (0.210) Data 0.069 (0.048) Loss 2.5285 (2.2996) Prec@1 43.359 (47.379) Prec@5 69.141 (72.768)
Epoch: [93][2800/5005] Time 0.203 (0.210) Data 0.062 (0.048) Loss 2.0517 (2.2996) Prec@1 54.688 (47.381) Prec@5 75.781 (72.766)
Epoch: [93][2810/5005] Time 0.201 (0.210) Data 0.048 (0.048) Loss 2.4258 (2.2996) Prec@1 44.922 (47.378) Prec@5 70.312 (72.763)
Epoch: [93][2820/5005] Time 0.193 (0.210) Data 0.059 (0.048) Loss 1.8750 (2.2994) Prec@1 52.734 (47.381) Prec@5 81.641 (72.766)
Epoch: [93][2830/5005] Time 0.205 (0.210) Data 0.059 (0.048) Loss 2.3944 (2.2994) Prec@1 47.656 (47.377) Prec@5 72.266 (72.766)
Epoch: [93][2840/5005] Time 0.207 (0.210) Data 0.044 (0.048) Loss 2.3201 (2.2994) Prec@1 49.219 (47.379) Prec@5 72.656 (72.767)
Epoch: [93][2850/5005] Time 0.206 (0.210) Data 0.047 (0.048) Loss 2.2386 (2.2993) Prec@1 48.047 (47.382) Prec@5 72.266 (72.769)
Epoch: [93][2860/5005] Time 0.201 (0.210) Data 0.048 (0.048) Loss 2.3429 (2.2995) Prec@1 47.266 (47.379) Prec@5 67.578 (72.764)
Epoch: [93][2870/5005] Time 0.200 (0.210) Data 0.046 (0.048) Loss 2.1875 (2.2994) Prec@1 51.953 (47.386) Prec@5 71.484 (72.765)
Epoch: [93][2880/5005] Time 0.208 (0.210) Data 0.043 (0.048) Loss 2.2261 (2.2993) Prec@1 46.094 (47.389) Prec@5 75.391 (72.765)
Epoch: [93][2890/5005] Time 0.219 (0.210) Data 0.042 (0.048) Loss 2.2807 (2.2991) Prec@1 49.609 (47.393) Prec@5 72.266 (72.770)
Epoch: [93][2900/5005] Time 0.211 (0.210) Data 0.053 (0.048) Loss 2.0084 (2.2989) Prec@1 53.125 (47.395) Prec@5 77.734 (72.774)
Epoch: [93][2910/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.3124 (2.2989) Prec@1 48.828 (47.400) Prec@5 75.391 (72.772)
Epoch: [93][2920/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.4474 (2.2988) Prec@1 44.531 (47.401) Prec@5 71.094 (72.774)
Epoch: [93][2930/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.5195 (2.2989) Prec@1 40.625 (47.396) Prec@5 68.359 (72.771)
Epoch: [93][2940/5005] Time 0.216 (0.210) Data 0.042 (0.048) Loss 2.3293 (2.2987) Prec@1 42.188 (47.396) Prec@5 73.438 (72.776)
Epoch: [93][2950/5005] Time 0.215 (0.210) Data 0.046 (0.048) Loss 2.5571 (2.2985) Prec@1 39.844 (47.398) Prec@5 72.266 (72.782)
Epoch: [93][2960/5005] Time 0.209 (0.210) Data 0.042 (0.048) Loss 2.1866 (2.2984) Prec@1 46.875 (47.400) Prec@5 76.172 (72.782)
Epoch: [93][2970/5005] Time 0.201 (0.210) Data 0.044 (0.048) Loss 2.2808 (2.2982) Prec@1 45.703 (47.402) Prec@5 73.438 (72.786)
Epoch: [93][2980/5005] Time 0.211 (0.210) Data 0.046 (0.048) Loss 2.4257 (2.2984) Prec@1 45.703 (47.400) Prec@5 70.703 (72.782)
Epoch: [93][2990/5005] Time 0.195 (0.210) Data 0.059 (0.048) Loss 2.1610 (2.2983) Prec@1 51.172 (47.396) Prec@5 75.391 (72.784)
Epoch: [93][3000/5005] Time 0.204 (0.210) Data 0.043 (0.048) Loss 2.2764 (2.2983) Prec@1 46.875 (47.397) Prec@5 72.266 (72.782)
Epoch: [93][3010/5005] Time 0.209 (0.210) Data 0.042 (0.048) Loss 2.3704 (2.2984) Prec@1 39.844 (47.391) Prec@5 72.266 (72.780)
Epoch: [93][3020/5005] Time 0.202 (0.210) Data 0.048 (0.048) Loss 2.2867 (2.2987) Prec@1 46.875 (47.389) Prec@5 74.609 (72.777)
Epoch: [93][3030/5005] Time 0.212 (0.210) Data 0.041 (0.048) Loss 2.3697 (2.2987) Prec@1 45.703 (47.385) Prec@5 72.266 (72.775)
Epoch: [93][3040/5005] Time 0.217 (0.210) Data 0.045 (0.048) Loss 2.1442 (2.2987) Prec@1 48.438 (47.389) Prec@5 74.609 (72.774)
Epoch: [93][3050/5005] Time 0.212 (0.210) Data 0.042 (0.048) Loss 2.2040 (2.2986) Prec@1 49.609 (47.393) Prec@5 73.438 (72.775)
Epoch: [93][3060/5005] Time 0.210 (0.210) Data 0.041 (0.048) Loss 2.1541 (2.2986) Prec@1 53.125 (47.393) Prec@5 73.828 (72.776)
Epoch: [93][3070/5005] Time 0.212 (0.210) Data 0.047 (0.048) Loss 2.2382 (2.2988) Prec@1 48.828 (47.390) Prec@5 73.438 (72.772)
Epoch: [93][3080/5005] Time 0.205 (0.210) Data 0.043 (0.048) Loss 2.2268 (2.2988) Prec@1 46.484 (47.388) Prec@5 71.875 (72.774)
Epoch: [93][3090/5005] Time 0.212 (0.210) Data 0.046 (0.048) Loss 2.6593 (2.2987) Prec@1 39.453 (47.390) Prec@5 69.531 (72.777)
Epoch: [93][3100/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.3673 (2.2988) Prec@1 47.656 (47.386) Prec@5 70.312 (72.775)
Epoch: [93][3110/5005] Time 0.210 (0.210) Data 0.045 (0.048) Loss 2.0895 (2.2987) Prec@1 49.609 (47.389) Prec@5 76.172 (72.776)
Epoch: [93][3120/5005] Time 0.205 (0.210) Data 0.040 (0.048) Loss 2.4517 (2.2987) Prec@1 45.312 (47.386) Prec@5 71.484 (72.777)
Epoch: [93][3130/5005] Time 0.218 (0.210) Data 0.043 (0.048) Loss 2.3949 (2.2985) Prec@1 45.312 (47.393) Prec@5 71.094 (72.779)
Epoch: [93][3140/5005] Time 0.209 (0.210) Data 0.046 (0.048) Loss 2.1270 (2.2984) Prec@1 50.000 (47.394) Prec@5 73.438 (72.780)
Epoch: [93][3150/5005] Time 0.215 (0.210) Data 0.043 (0.048) Loss 2.2971 (2.2983) Prec@1 50.391 (47.395) Prec@5 67.578 (72.780)
Epoch: [93][3160/5005] Time 0.201 (0.210) Data 0.048 (0.048) Loss 2.1646 (2.2982) Prec@1 46.484 (47.398) Prec@5 76.953 (72.784)
Epoch: [93][3170/5005] Time 0.206 (0.210) Data 0.041 (0.048) Loss 2.3035 (2.2982) Prec@1 47.656 (47.401) Prec@5 71.875 (72.783)
Epoch: [93][3180/5005] Time 0.195 (0.210) Data 0.047 (0.048) Loss 2.2295 (2.2984) Prec@1 50.391 (47.400) Prec@5 72.266 (72.781)
Epoch: [93][3190/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.3463 (2.2984) Prec@1 44.922 (47.400) Prec@5 71.484 (72.781)
Epoch: [93][3200/5005] Time 0.205 (0.210) Data 0.044 (0.048) Loss 2.3644 (2.2984) Prec@1 44.922 (47.401) Prec@5 70.703 (72.781)
Epoch: [93][3210/5005] Time 0.209 (0.210) Data 0.049 (0.048) Loss 2.5052 (2.2984) Prec@1 44.141 (47.403) Prec@5 68.750 (72.780)
Epoch: [93][3220/5005] Time 0.215 (0.210) Data 0.044 (0.048) Loss 2.3350 (2.2984) Prec@1 50.391 (47.408) Prec@5 71.875 (72.781)
Epoch: [93][3230/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.1919 (2.2982) Prec@1 48.828 (47.412) Prec@5 73.047 (72.782)
Epoch: [93][3240/5005] Time 0.208 (0.210) Data 0.042 (0.048) Loss 2.5422 (2.2985) Prec@1 42.578 (47.406) Prec@5 69.141 (72.778)
Epoch: [93][3250/5005] Time 0.210 (0.210) Data 0.048 (0.048) Loss 2.3163 (2.2986) Prec@1 45.312 (47.407) Prec@5 73.828 (72.776)
Epoch: [93][3260/5005] Time 0.207 (0.210) Data 0.064 (0.048) Loss 2.1696 (2.2987) Prec@1 50.391 (47.405) Prec@5 76.172 (72.777)
Epoch: [93][3270/5005] Time 0.198 (0.210) Data 0.050 (0.048) Loss 2.3335 (2.2985) Prec@1 49.609 (47.409) Prec@5 70.312 (72.779)
Epoch: [93][3280/5005] Time 0.208 (0.210) Data 0.044 (0.048) Loss 2.2044 (2.2987) Prec@1 50.781 (47.405) Prec@5 73.828 (72.776)
Epoch: [93][3290/5005] Time 0.207 (0.210) Data 0.042 (0.048) Loss 2.2783 (2.2985) Prec@1 43.750 (47.407) Prec@5 75.000 (72.778)
Epoch: [93][3300/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.1740 (2.2986) Prec@1 45.703 (47.405) Prec@5 75.000 (72.776)
Epoch: [93][3310/5005] Time 0.212 (0.210) Data 0.046 (0.048) Loss 2.2145 (2.2986) Prec@1 48.438 (47.404) Prec@5 73.047 (72.777)
Epoch: [93][3320/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.2453 (2.2986) Prec@1 49.219 (47.402) Prec@5 74.219 (72.780)
Epoch: [93][3330/5005] Time 0.203 (0.210) Data 0.050 (0.048) Loss 2.2932 (2.2987) Prec@1 45.312 (47.397) Prec@5 74.219 (72.776)
Epoch: [93][3340/5005] Time 0.210 (0.210) Data 0.047 (0.048) Loss 2.3644 (2.2988) Prec@1 44.531 (47.396) Prec@5 72.656 (72.777)
Epoch: [93][3350/5005] Time 0.197 (0.210) Data 0.065 (0.048) Loss 2.3667 (2.2987) Prec@1 47.656 (47.398) Prec@5 70.703 (72.779)
Epoch: [93][3360/5005] Time 0.201 (0.210) Data 0.048 (0.048) Loss 2.2251 (2.2987) Prec@1 46.484 (47.400) Prec@5 74.609 (72.779)
Epoch: [93][3370/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.2688 (2.2987) Prec@1 44.922 (47.400) Prec@5 75.000 (72.778)
Epoch: [93][3380/5005] Time 0.203 (0.210) Data 0.050 (0.048) Loss 2.4125 (2.2987) Prec@1 47.266 (47.403) Prec@5 71.094 (72.779)
Epoch: [93][3390/5005] Time 0.201 (0.210) Data 0.046 (0.048) Loss 2.1142 (2.2987) Prec@1 48.828 (47.403) Prec@5 72.266 (72.776)
Epoch: [93][3400/5005] Time 0.208 (0.210) Data 0.050 (0.048) Loss 2.2345 (2.2987) Prec@1 45.312 (47.405) Prec@5 76.172 (72.778)
Epoch: [93][3410/5005] Time 0.218 (0.210) Data 0.046 (0.048) Loss 2.1176 (2.2985) Prec@1 51.953 (47.406) Prec@5 79.297 (72.785)
Epoch: [93][3420/5005] Time 0.210 (0.210) Data 0.052 (0.048) Loss 2.1868 (2.2986) Prec@1 48.828 (47.404) Prec@5 78.516 (72.784)
Epoch: [93][3430/5005] Time 0.217 (0.210) Data 0.042 (0.048) Loss 2.2081 (2.2986) Prec@1 47.266 (47.402) Prec@5 73.828 (72.786)
Epoch: [93][3440/5005] Time 0.214 (0.210) Data 0.051 (0.048) Loss 2.2952 (2.2985) Prec@1 48.828 (47.401) Prec@5 71.875 (72.788)
Epoch: [93][3450/5005] Time 0.215 (0.210) Data 0.053 (0.048) Loss 2.1773 (2.2983) Prec@1 48.828 (47.404) Prec@5 74.219 (72.790)
Epoch: [93][3460/5005] Time 0.208 (0.210) Data 0.041 (0.048) Loss 2.3115 (2.2985) Prec@1 47.656 (47.403) Prec@5 74.219 (72.787)
Epoch: [93][3470/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.2152 (2.2983) Prec@1 47.656 (47.403) Prec@5 74.609 (72.790)
Epoch: [93][3480/5005] Time 0.204 (0.210) Data 0.043 (0.048) Loss 2.1542 (2.2981) Prec@1 50.000 (47.404) Prec@5 75.391 (72.795)
Epoch: [93][3490/5005] Time 0.205 (0.210) Data 0.046 (0.048) Loss 2.4042 (2.2981) Prec@1 45.312 (47.406) Prec@5 71.875 (72.795)
Epoch: [93][3500/5005] Time 0.206 (0.210) Data 0.043 (0.048) Loss 2.2051 (2.2982) Prec@1 46.484 (47.406) Prec@5 76.172 (72.794)
Epoch: [93][3510/5005] Time 0.202 (0.210) Data 0.043 (0.048) Loss 2.2483 (2.2981) Prec@1 46.094 (47.405) Prec@5 73.438 (72.796)
Epoch: [93][3520/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.5192 (2.2982) Prec@1 43.359 (47.401) Prec@5 69.141 (72.793)
Epoch: [93][3530/5005] Time 0.210 (0.210) Data 0.047 (0.048) Loss 2.2788 (2.2981) Prec@1 47.266 (47.406) Prec@5 74.219 (72.793)
Epoch: [93][3540/5005] Time 0.213 (0.210) Data 0.045 (0.048) Loss 2.0944 (2.2979) Prec@1 47.656 (47.408) Prec@5 75.391 (72.797)
Epoch: [93][3550/5005] Time 0.204 (0.210) Data 0.046 (0.048) Loss 2.3278 (2.2977) Prec@1 44.531 (47.412) Prec@5 73.438 (72.800)
Epoch: [93][3560/5005] Time 0.196 (0.210) Data 0.052 (0.048) Loss 2.4312 (2.2976) Prec@1 49.219 (47.414) Prec@5 69.922 (72.799)
Epoch: [93][3570/5005] Time 0.199 (0.210) Data 0.039 (0.048) Loss 2.4627 (2.2976) Prec@1 43.359 (47.412) Prec@5 68.750 (72.798)
Epoch: [93][3580/5005] Time 0.213 (0.210) Data 0.046 (0.048) Loss 2.1807 (2.2976) Prec@1 48.438 (47.411) Prec@5 75.391 (72.799)
Epoch: [93][3590/5005] Time 0.204 (0.210) Data 0.046 (0.048) Loss 2.3729 (2.2973) Prec@1 47.656 (47.418) Prec@5 71.875 (72.805)
Epoch: [93][3600/5005] Time 0.209 (0.210) Data 0.048 (0.048) Loss 2.4416 (2.2971) Prec@1 46.875 (47.421) Prec@5 67.578 (72.807)
Epoch: [93][3610/5005] Time 0.211 (0.210) Data 0.040 (0.048) Loss 2.1223 (2.2970) Prec@1 53.906 (47.423) Prec@5 76.953 (72.807)
Epoch: [93][3620/5005] Time 0.199 (0.210) Data 0.045 (0.048) Loss 2.4227 (2.2969) Prec@1 43.750 (47.429) Prec@5 70.703 (72.810)
Epoch: [93][3630/5005] Time 0.211 (0.210) Data 0.048 (0.048) Loss 2.4986 (2.2969) Prec@1 44.141 (47.429) Prec@5 67.578 (72.809)
Epoch: [93][3640/5005] Time 0.212 (0.210) Data 0.047 (0.048) Loss 2.3400 (2.2968) Prec@1 44.141 (47.430) Prec@5 69.922 (72.808)
Epoch: [93][3650/5005] Time 0.208 (0.210) Data 0.049 (0.048) Loss 2.1567 (2.2968) Prec@1 48.047 (47.431) Prec@5 75.781 (72.808)
Epoch: [93][3660/5005] Time 0.208 (0.209) Data 0.045 (0.048) Loss 2.4328 (2.2966) Prec@1 45.312 (47.432) Prec@5 71.484 (72.811)
Epoch: [93][3670/5005] Time 0.203 (0.209) Data 0.055 (0.048) Loss 2.3794 (2.2967) Prec@1 50.000 (47.431) Prec@5 71.484 (72.809)
Epoch: [93][3680/5005] Time 0.218 (0.209) Data 0.048 (0.048) Loss 2.1006 (2.2967) Prec@1 48.047 (47.431) Prec@5 75.781 (72.810)
Epoch: [93][3690/5005] Time 0.202 (0.209) Data 0.042 (0.048) Loss 2.1713 (2.2966) Prec@1 48.047 (47.430) Prec@5 74.219 (72.813)
Epoch: [93][3700/5005] Time 0.211 (0.209) Data 0.046 (0.048) Loss 2.3842 (2.2967) Prec@1 48.047 (47.424) Prec@5 71.484 (72.812)
Epoch: [93][3710/5005] Time 0.212 (0.209) Data 0.048 (0.048) Loss 2.3091 (2.2968) Prec@1 47.266 (47.418) Prec@5 71.094 (72.811)
Epoch: [93][3720/5005] Time 0.213 (0.209) Data 0.042 (0.048) Loss 2.3822 (2.2968) Prec@1 47.266 (47.420) Prec@5 71.094 (72.812)
Epoch: [93][3730/5005] Time 0.202 (0.209) Data 0.051 (0.048) Loss 2.2168 (2.2967) Prec@1 50.781 (47.420) Prec@5 77.344 (72.815)
Epoch: [93][3740/5005] Time 0.206 (0.209) Data 0.049 (0.048) Loss 2.1681 (2.2964) Prec@1 48.828 (47.424) Prec@5 77.344 (72.820)
Epoch: [93][3750/5005] Time 0.210 (0.209) Data 0.042 (0.048) Loss 2.1363 (2.2966) Prec@1 50.000 (47.420) Prec@5 76.172 (72.816)
Epoch: [93][3760/5005] Time 0.205 (0.209) Data 0.058 (0.048) Loss 2.3256 (2.2967) Prec@1 46.094 (47.419) Prec@5 68.750 (72.815)
Epoch: [93][3770/5005] Time 0.203 (0.209) Data 0.042 (0.048) Loss 2.3717 (2.2965) Prec@1 47.266 (47.420) Prec@5 73.047 (72.817)
Epoch: [93][3780/5005] Time 0.205 (0.209) Data 0.045 (0.048) Loss 2.3160 (2.2966) Prec@1 46.094 (47.419) Prec@5 71.484 (72.816)
Epoch: [93][3790/5005] Time 0.198 (0.209) Data 0.047 (0.048) Loss 2.3858 (2.2966) Prec@1 42.969 (47.419) Prec@5 70.312 (72.816)
Epoch: [93][3800/5005] Time 0.211 (0.209) Data 0.061 (0.048) Loss 2.3255 (2.2968) Prec@1 44.531 (47.417) Prec@5 70.703 (72.812)
Epoch: [93][3810/5005] Time 0.198 (0.209) Data 0.050 (0.048) Loss 2.1584 (2.2968) Prec@1 51.172 (47.418) Prec@5 76.953 (72.813)
Epoch: [93][3820/5005] Time 0.203 (0.209) Data 0.045 (0.048) Loss 2.1649 (2.2965) Prec@1 51.953 (47.424) Prec@5 75.781 (72.817)
Epoch: [93][3830/5005] Time 0.215 (0.209) Data 0.045 (0.048) Loss 2.3169 (2.2964) Prec@1 39.453 (47.425) Prec@5 74.219 (72.818)
Epoch: [93][3840/5005] Time 0.203 (0.209) Data 0.042 (0.048) Loss 2.4756 (2.2965) Prec@1 42.578 (47.421) Prec@5 71.875 (72.817)
Epoch: [93][3850/5005] Time 0.201 (0.209) Data 0.047 (0.048) Loss 2.3357 (2.2964) Prec@1 45.703 (47.421) Prec@5 74.219 (72.821)
Epoch: [93][3860/5005] Time 0.206 (0.209) Data 0.046 (0.048) Loss 2.1229 (2.2965) Prec@1 50.391 (47.423) Prec@5 74.219 (72.819)
Epoch: [93][3870/5005] Time 0.203 (0.209) Data 0.047 (0.048) Loss 2.2932 (2.2965) Prec@1 41.016 (47.419) Prec@5 73.047 (72.820)
Epoch: [93][3880/5005] Time 0.212 (0.209) Data 0.040 (0.048) Loss 2.1526 (2.2964) Prec@1 51.562 (47.425) Prec@5 76.172 (72.823)
Epoch: [93][3890/5005] Time 0.215 (0.209) Data 0.046 (0.048) Loss 2.5493 (2.2963) Prec@1 43.750 (47.427) Prec@5 69.141 (72.825)
Epoch: [93][3900/5005] Time 0.210 (0.209) Data 0.058 (0.048) Loss 2.4834 (2.2964) Prec@1 42.188 (47.424) Prec@5 68.750 (72.823)
Epoch: [93][3910/5005] Time 0.202 (0.209) Data 0.043 (0.048) Loss 2.2902 (2.2964) Prec@1 46.484 (47.422) Prec@5 71.484 (72.825)
Epoch: [93][3920/5005] Time 0.201 (0.209) Data 0.051 (0.048) Loss 2.2534 (2.2963) Prec@1 46.875 (47.422) Prec@5 76.172 (72.826)
Epoch: [93][3930/5005] Time 0.208 (0.209) Data 0.042 (0.048) Loss 2.3830 (2.2961) Prec@1 44.922 (47.426) Prec@5 71.094 (72.830)
Epoch: [93][3940/5005] Time 0.202 (0.209) Data 0.059 (0.048) Loss 2.2978 (2.2960) Prec@1 47.266 (47.426) Prec@5 71.875 (72.830)
Epoch: [93][3950/5005] Time 0.201 (0.209) Data 0.041 (0.048) Loss 2.1283 (2.2958) Prec@1 47.266 (47.429) Prec@5 75.391 (72.834)
Epoch: [93][3960/5005] Time 0.194 (0.209) Data 0.042 (0.048) Loss 2.3890 (2.2959) Prec@1 45.703 (47.427) Prec@5 72.656 (72.833)
Epoch: [93][3970/5005] Time 0.199 (0.209) Data 0.046 (0.048) Loss 2.3081 (2.2959) Prec@1 50.391 (47.428) Prec@5 71.875 (72.832)
Epoch: [93][3980/5005] Time 0.200 (0.209) Data 0.043 (0.048) Loss 2.0917 (2.2958) Prec@1 49.219 (47.431) Prec@5 76.172 (72.837)
Epoch: [93][3990/5005] Time 0.213 (0.209) Data 0.041 (0.048) Loss 2.3671 (2.2959) Prec@1 45.312 (47.427) Prec@5 73.047 (72.834)
Epoch: [93][4000/5005] Time 0.211 (0.209) Data 0.048 (0.048) Loss 2.2347 (2.2960) Prec@1 49.219 (47.427) Prec@5 74.219 (72.835)
Epoch: [93][4010/5005] Time 0.209 (0.209) Data 0.045 (0.048) Loss 2.3423 (2.2958) Prec@1 47.266 (47.426) Prec@5 71.484 (72.837)
Epoch: [93][4020/5005] Time 0.209 (0.209) Data 0.045 (0.048) Loss 2.3088 (2.2958) Prec@1 48.047 (47.427) Prec@5 76.172 (72.839)
Epoch: [93][4030/5005] Time 0.215 (0.209) Data 0.043 (0.048) Loss 2.4956 (2.2961) Prec@1 46.875 (47.423) Prec@5 68.750 (72.833)
Epoch: [93][4040/5005] Time 0.196 (0.209) Data 0.058 (0.048) Loss 2.3102 (2.2961) Prec@1 45.312 (47.422) Prec@5 72.656 (72.833)
Epoch: [93][4050/5005] Time 0.209 (0.209) Data 0.042 (0.048) Loss 2.5918 (2.2961) Prec@1 41.016 (47.424) Prec@5 65.625 (72.833)
Epoch: [93][4060/5005] Time 0.206 (0.209) Data 0.042 (0.048) Loss 2.3614 (2.2961) Prec@1 44.922 (47.423) Prec@5 69.531 (72.835)
Epoch: [93][4070/5005] Time 0.208 (0.209) Data 0.047 (0.048) Loss 2.4018 (2.2961) Prec@1 46.875 (47.419) Prec@5 73.047 (72.835)
Epoch: [93][4080/5005] Time 0.203 (0.209) Data 0.043 (0.048) Loss 2.1683 (2.2961) Prec@1 50.000 (47.420) Prec@5 74.609 (72.835)
Epoch: [93][4090/5005] Time 0.204 (0.209) Data 0.043 (0.048) Loss 2.4602 (2.2962) Prec@1 46.484 (47.421) Prec@5 71.484 (72.833)
Epoch: [93][4100/5005] Time 0.216 (0.209) Data 0.045 (0.048) Loss 2.2582 (2.2961) Prec@1 48.438 (47.422) Prec@5 72.656 (72.834)
Epoch: [93][4110/5005] Time 0.206 (0.209) Data 0.039 (0.048) Loss 2.4061 (2.2961) Prec@1 44.141 (47.420) Prec@5 69.141 (72.832)
Epoch: [93][4120/5005] Time 0.211 (0.209) Data 0.044 (0.048) Loss 2.3970 (2.2960) Prec@1 46.875 (47.421) Prec@5 69.922 (72.832)
Epoch: [93][4130/5005] Time 0.211 (0.209) Data 0.049 (0.048) Loss 2.4736 (2.2961) Prec@1 43.359 (47.418) Prec@5 70.703 (72.830)
Epoch: [93][4140/5005] Time 0.217 (0.209) Data 0.040 (0.048) Loss 2.2321 (2.2961) Prec@1 48.828 (47.419) Prec@5 72.656 (72.830)
Epoch: [93][4150/5005] Time 0.209 (0.209) Data 0.044 (0.048) Loss 2.5298 (2.2961) Prec@1 42.188 (47.414) Prec@5 68.359 (72.829)
Epoch: [93][4160/5005] Time 0.209 (0.209) Data 0.044 (0.048) Loss 2.1993 (2.2963) Prec@1 50.391 (47.414) Prec@5 74.609 (72.826)
Epoch: [93][4170/5005] Time 0.213 (0.209) Data 0.046 (0.048) Loss 2.1497 (2.2961) Prec@1 48.828 (47.417) Prec@5 78.125 (72.830)
Epoch: [93][4180/5005] Time 0.213 (0.209) Data 0.043 (0.048) Loss 2.1143 (2.2959) Prec@1 53.125 (47.419) Prec@5 75.781 (72.832)
Epoch: [93][4190/5005] Time 0.196 (0.209) Data 0.051 (0.048) Loss 2.2624 (2.2959) Prec@1 47.266 (47.423) Prec@5 70.703 (72.833)
Epoch: [93][4200/5005] Time 0.224 (0.209) Data 0.046 (0.048) Loss 2.1420 (2.2958) Prec@1 47.656 (47.424) Prec@5 73.828 (72.835)
Epoch: [93][4210/5005] Time 0.214 (0.209) Data 0.042 (0.048) Loss 2.2151 (2.2957) Prec@1 47.266 (47.424) Prec@5 76.562 (72.837)
Epoch: [93][4220/5005] Time 0.208 (0.209) Data 0.043 (0.048) Loss 2.4567 (2.2959) Prec@1 47.266 (47.421) Prec@5 69.141 (72.833)
Epoch: [93][4230/5005] Time 0.201 (0.209) Data 0.040 (0.048) Loss 2.3081 (2.2958) Prec@1 48.047 (47.423) Prec@5 72.656 (72.835)
Epoch: [93][4240/5005] Time 0.213 (0.209) Data 0.043 (0.048) Loss 2.1913 (2.2958) Prec@1 48.047 (47.423) Prec@5 74.609 (72.837)
Epoch: [93][4250/5005] Time 0.211 (0.209) Data 0.044 (0.048) Loss 2.2336 (2.2957) Prec@1 48.828 (47.422) Prec@5 75.391 (72.839)
Epoch: [93][4260/5005] Time 0.212 (0.209) Data 0.042 (0.048) Loss 2.3389 (2.2957) Prec@1 44.531 (47.423) Prec@5 74.609 (72.842)
Epoch: [93][4270/5005] Time 0.210 (0.209) Data 0.049 (0.048) Loss 2.3836 (2.2957) Prec@1 48.828 (47.423) Prec@5 71.875 (72.844)
Epoch: [93][4280/5005] Time 0.209 (0.209) Data 0.050 (0.048) Loss 2.3615 (2.2955) Prec@1 48.438 (47.426) Prec@5 71.094 (72.845)
Epoch: [93][4290/5005] Time 0.200 (0.209) Data 0.056 (0.048) Loss 2.4773 (2.2956) Prec@1 43.359 (47.425) Prec@5 70.312 (72.843)
Epoch: [93][4300/5005] Time 0.199 (0.209) Data 0.055 (0.048) Loss 2.1057 (2.2955) Prec@1 49.219 (47.430) Prec@5 74.609 (72.844)
Epoch: [93][4310/5005] Time 0.201 (0.209) Data 0.062 (0.048) Loss 2.2273 (2.2955) Prec@1 48.047 (47.432) Prec@5 73.047 (72.844)
Epoch: [93][4320/5005] Time 0.210 (0.209) Data 0.045 (0.048) Loss 2.1799 (2.2955) Prec@1 46.875 (47.431) Prec@5 75.000 (72.845)
Epoch: [93][4330/5005] Time 0.204 (0.209) Data 0.042 (0.048) Loss 2.0988 (2.2954) Prec@1 48.438 (47.432) Prec@5 75.000 (72.847)
Epoch: [93][4340/5005] Time 0.208 (0.209) Data 0.044 (0.048) Loss 2.2948 (2.2956) Prec@1 49.609 (47.431) Prec@5 72.656 (72.844)
Epoch: [93][4350/5005] Time 0.211 (0.209) Data 0.043 (0.048) Loss 2.3769 (2.2955) Prec@1 48.047 (47.432) Prec@5 73.828 (72.847)
Epoch: [93][4360/5005] Time 0.201 (0.209) Data 0.048 (0.048) Loss 2.0825 (2.2954) Prec@1 48.828 (47.432) Prec@5 76.172 (72.850)
Epoch: [93][4370/5005] Time 0.209 (0.209) Data 0.043 (0.048) Loss 2.2361 (2.2954) Prec@1 46.484 (47.434) Prec@5 75.000 (72.852)
Epoch: [93][4380/5005] Time 0.209 (0.209) Data 0.042 (0.048) Loss 2.3634 (2.2954) Prec@1 42.969 (47.432) Prec@5 71.875 (72.852)
Epoch: [93][4390/5005] Time 0.214 (0.209) Data 0.045 (0.048) Loss 2.2795 (2.2952) Prec@1 46.094 (47.437) Prec@5 73.047 (72.854)
Epoch: [93][4400/5005] Time 0.212 (0.209) Data 0.041 (0.048) Loss 2.2035 (2.2952) Prec@1 46.484 (47.436) Prec@5 74.609 (72.854)
Epoch: [93][4410/5005] Time 0.200 (0.209) Data 0.046 (0.048) Loss 2.3150 (2.2952) Prec@1 45.703 (47.438) Prec@5 73.828 (72.853)
Epoch: [93][4420/5005] Time 0.214 (0.209) Data 0.046 (0.048) Loss 2.0182 (2.2951) Prec@1 53.125 (47.439) Prec@5 76.562 (72.856)
Epoch: [93][4430/5005] Time 0.204 (0.209) Data 0.045 (0.048) Loss 2.2706 (2.2949) Prec@1 48.828 (47.446) Prec@5 73.438 (72.858)
Epoch: [93][4440/5005] Time 0.208 (0.209) Data 0.045 (0.048) Loss 2.4772 (2.2949) Prec@1 43.359 (47.448) Prec@5 69.922 (72.859)
Epoch: [93][4450/5005] Time 0.213 (0.209) Data 0.042 (0.048) Loss 2.0666 (2.2948) Prec@1 50.000 (47.449) Prec@5 75.781 (72.860)
Epoch: [93][4460/5005] Time 0.202 (0.209) Data 0.048 (0.048) Loss 2.2851 (2.2947) Prec@1 50.781 (47.452) Prec@5 72.266 (72.863)
Epoch: [93][4470/5005] Time 0.205 (0.209) Data 0.052 (0.048) Loss 2.2634 (2.2948) Prec@1 48.828 (47.452) Prec@5 74.609 (72.861)
Epoch: [93][4480/5005] Time 0.207 (0.209) Data 0.047 (0.048) Loss 2.2798 (2.2949) Prec@1 47.266 (47.450) Prec@5 72.266 (72.859)
Epoch: [93][4490/5005] Time 0.217 (0.209) Data 0.044 (0.048) Loss 2.2590 (2.2950) Prec@1 46.875 (47.451) Prec@5 73.828 (72.858)
Epoch: [93][4500/5005] Time 0.216 (0.209) Data 0.043 (0.048) Loss 2.0674 (2.2948) Prec@1 50.391 (47.453) Prec@5 78.516 (72.860)
Epoch: [93][4510/5005] Time 0.205 (0.209) Data 0.043 (0.048) Loss 2.0358 (2.2947) Prec@1 53.125 (47.452) Prec@5 77.344 (72.861)
Epoch: [93][4520/5005] Time 0.204 (0.209) Data 0.040 (0.048) Loss 2.2982 (2.2946) Prec@1 48.828 (47.454) Prec@5 75.391 (72.864)
Epoch: [93][4530/5005] Time 0.206 (0.209) Data 0.052 (0.048) Loss 2.1827 (2.2946) Prec@1 46.875 (47.456) Prec@5 73.047 (72.864)
Epoch: [93][4540/5005] Time 0.213 (0.209) Data 0.043 (0.048) Loss 2.4087 (2.2948) Prec@1 46.875 (47.454) Prec@5 71.875 (72.860)
Epoch: [93][4550/5005] Time 0.213 (0.209) Data 0.044 (0.048) Loss 2.3314 (2.2947) Prec@1 47.266 (47.455) Prec@5 71.094 (72.861)
Epoch: [93][4560/5005] Time 0.207 (0.209) Data 0.053 (0.048) Loss 2.1719 (2.2947) Prec@1 54.688 (47.458) Prec@5 74.609 (72.860)
Epoch: [93][4570/5005] Time 0.210 (0.209) Data 0.049 (0.048) Loss 2.4331 (2.2946) Prec@1 46.094 (47.458) Prec@5 71.484 (72.862)
Epoch: [93][4580/5005] Time 0.204 (0.209) Data 0.062 (0.048) Loss 2.4234 (2.2945) Prec@1 45.703 (47.460) Prec@5 68.359 (72.863)
Epoch: [93][4590/5005] Time 0.211 (0.209) Data 0.044 (0.048) Loss 2.1322 (2.2946) Prec@1 51.953 (47.459) Prec@5 75.391 (72.860)
Epoch: [93][4600/5005] Time 0.199 (0.209) Data 0.062 (0.048) Loss 2.1406 (2.2946) Prec@1 51.953 (47.459) Prec@5 74.609 (72.857)
Epoch: [93][4610/5005] Time 0.210 (0.209) Data 0.046 (0.048) Loss 2.0983 (2.2946) Prec@1 51.953 (47.460) Prec@5 75.000 (72.858)
Epoch: [93][4620/5005] Time 0.212 (0.209) Data 0.046 (0.048) Loss 2.1813 (2.2945) Prec@1 51.562 (47.462) Prec@5 71.875 (72.859)
Epoch: [93][4630/5005] Time 0.211 (0.209) Data 0.047 (0.048) Loss 2.1481 (2.2945) Prec@1 51.172 (47.462) Prec@5 77.344 (72.861)
Epoch: [93][4640/5005] Time 0.212 (0.209) Data 0.042 (0.048) Loss 2.3867 (2.2945) Prec@1 46.094 (47.462) Prec@5 71.875 (72.862)
Epoch: [93][4650/5005] Time 0.217 (0.209) Data 0.040 (0.048) Loss 2.2443 (2.2945) Prec@1 46.484 (47.462) Prec@5 70.312 (72.862)
Epoch: [93][4660/5005] Time 0.213 (0.209) Data 0.043 (0.048) Loss 2.5142 (2.2945) Prec@1 44.531 (47.460) Prec@5 67.188 (72.860)
Epoch: [93][4670/5005] Time 0.208 (0.209) Data 0.043 (0.048) Loss 2.2418 (2.2945) Prec@1 43.750 (47.458) Prec@5 73.047 (72.860)
Epoch: [93][4680/5005] Time 0.208 (0.209) Data 0.042 (0.048) Loss 2.2133 (2.2944) Prec@1 48.047 (47.459) Prec@5 76.953 (72.862)
Epoch: [93][4690/5005] Time 0.210 (0.209) Data 0.044 (0.048) Loss 2.2331 (2.2944) Prec@1 48.438 (47.458) Prec@5 72.266 (72.863)
Epoch: [93][4700/5005] Time 0.221 (0.209) Data 0.045 (0.048) Loss 2.2066 (2.2943) Prec@1 48.828 (47.460) Prec@5 73.828 (72.864)
Epoch: [93][4710/5005] Time 0.210 (0.209) Data 0.044 (0.048) Loss 2.2798 (2.2942) Prec@1 46.875 (47.462) Prec@5 73.828 (72.867)
Epoch: [93][4720/5005] Time 0.210 (0.209) Data 0.045 (0.048) Loss 2.3037 (2.2942) Prec@1 50.000 (47.462) Prec@5 73.438 (72.868)
Epoch: [93][4730/5005] Time 0.212 (0.209) Data 0.041 (0.048) Loss 2.3879 (2.2944) Prec@1 44.141 (47.458) Prec@5 71.875 (72.866)
Epoch: [93][4740/5005] Time 0.198 (0.209) Data 0.044 (0.048) Loss 2.3495 (2.2944) Prec@1 42.188 (47.457) Prec@5 69.141 (72.865)
Epoch: [93][4750/5005] Time 0.201 (0.209) Data 0.059 (0.048) Loss 2.3038 (2.2943) Prec@1 44.141 (47.458) Prec@5 70.703 (72.866)
Epoch: [93][4760/5005] Time 0.212 (0.209) Data 0.044 (0.048) Loss 2.5618 (2.2941) Prec@1 39.453 (47.460) Prec@5 68.359 (72.869)
Epoch: [93][4770/5005] Time 0.206 (0.209) Data 0.037 (0.048) Loss 2.1338 (2.2941) Prec@1 51.172 (47.462) Prec@5 77.344 (72.870)
Epoch: [93][4780/5005] Time 0.203 (0.209) Data 0.053 (0.048) Loss 2.4228 (2.2941) Prec@1 46.094 (47.462) Prec@5 69.141 (72.868)
Epoch: [93][4790/5005] Time 0.210 (0.209) Data 0.044 (0.048) Loss 2.5328 (2.2942) Prec@1 47.266 (47.464) Prec@5 67.969 (72.866)
Epoch: [93][4800/5005] Time 0.208 (0.209) Data 0.045 (0.048) Loss 2.2958 (2.2940) Prec@1 50.391 (47.466) Prec@5 73.438 (72.868)
Epoch: [93][4810/5005] Time 0.208 (0.209) Data 0.042 (0.048) Loss 2.4495 (2.2940) Prec@1 48.047 (47.468) Prec@5 68.750 (72.869)
Epoch: [93][4820/5005] Time 0.203 (0.209) Data 0.044 (0.048) Loss 2.4091 (2.2938) Prec@1 46.094 (47.468) Prec@5 67.969 (72.870)
Epoch: [93][4830/5005] Time 0.210 (0.209) Data 0.045 (0.048) Loss 2.3847 (2.2937) Prec@1 50.000 (47.474) Prec@5 70.312 (72.872)
Epoch: [93][4840/5005] Time 0.210 (0.209) Data 0.044 (0.048) Loss 1.9612 (2.2937) Prec@1 51.953 (47.473) Prec@5 76.562 (72.871)
Epoch: [93][4850/5005] Time 0.209 (0.209) Data 0.043 (0.048) Loss 2.2646 (2.2938) Prec@1 47.656 (47.471) Prec@5 72.656 (72.867)
Epoch: [93][4860/5005] Time 0.196 (0.209) Data 0.039 (0.048) Loss 2.2722 (2.2937) Prec@1 45.312 (47.473) Prec@5 73.047 (72.868)
Epoch: [93][4870/5005] Time 0.199 (0.209) Data 0.043 (0.048) Loss 2.2818 (2.2937) Prec@1 49.219 (47.472) Prec@5 73.438 (72.868)
Epoch: [93][4880/5005] Time 0.204 (0.209) Data 0.042 (0.048) Loss 2.2134 (2.2936) Prec@1 50.391 (47.476) Prec@5 73.828 (72.871)
Epoch: [93][4890/5005] Time 0.206 (0.209) Data 0.054 (0.048) Loss 2.3244 (2.2935) Prec@1 48.047 (47.478) Prec@5 67.969 (72.873)
Epoch: [93][4900/5005] Time 0.209 (0.209) Data 0.050 (0.048) Loss 2.1440 (2.2935) Prec@1 49.609 (47.479) Prec@5 75.000 (72.873)
Epoch: [93][4910/5005] Time 0.201 (0.209) Data 0.055 (0.048) Loss 2.3590 (2.2933) Prec@1 46.094 (47.485) Prec@5 74.219 (72.877)
Epoch: [93][4920/5005] Time 0.197 (0.209) Data 0.044 (0.048) Loss 2.2678 (2.2932) Prec@1 45.703 (47.485) Prec@5 72.656 (72.879)
Epoch: [93][4930/5005] Time 0.208 (0.209) Data 0.037 (0.048) Loss 2.4834 (2.2931) Prec@1 44.922 (47.485) Prec@5 66.797 (72.882)
Epoch: [93][4940/5005] Time 0.211 (0.209) Data 0.042 (0.048) Loss 2.2105 (2.2931) Prec@1 48.047 (47.485) Prec@5 73.438 (72.882)
Epoch: [93][4950/5005] Time 0.204 (0.209) Data 0.042 (0.048) Loss 1.9670 (2.2932) Prec@1 49.609 (47.485) Prec@5 80.078 (72.880)
Epoch: [93][4960/5005] Time 0.210 (0.209) Data 0.047 (0.048) Loss 2.3604 (2.2931) Prec@1 50.391 (47.485) Prec@5 72.266 (72.880)
Epoch: [93][4970/5005] Time 0.207 (0.209) Data 0.046 (0.048) Loss 2.3690 (2.2931) Prec@1 43.359 (47.486) Prec@5 72.266 (72.882)
Epoch: [93][4980/5005] Time 0.214 (0.209) Data 0.043 (0.048) Loss 2.3238 (2.2930) Prec@1 44.531 (47.488) Prec@5 74.609 (72.884)
Epoch: [93][4990/5005] Time 0.204 (0.209) Data 0.022 (0.048) Loss 2.4118 (2.2930) Prec@1 40.234 (47.489) Prec@5 70.703 (72.885)
Epoch: [93][5000/5005] Time 0.206 (0.209) Data 0.021 (0.047) Loss 2.3262 (2.2929) Prec@1 47.656 (47.490) Prec@5 73.828 (72.886)
Test: [0/196] Time 1.517 (1.517) Loss 2.3938 (2.3938) Prec@1 46.094 (46.094) Prec@5 71.484 (71.484)
Test: [10/196] Time 0.042 (0.296) Loss 2.4335 (2.5409) Prec@1 48.828 (44.034) Prec@5 72.266 (69.638)
Test: [20/196] Time 0.042 (0.267) Loss 2.4498 (2.5581) Prec@1 45.312 (43.843) Prec@5 72.266 (69.234)
Test: [30/196] Time 0.043 (0.217) Loss 2.4988 (2.5633) Prec@1 42.578 (43.712) Prec@5 66.797 (69.090)
Test: [40/196] Time 0.045 (0.201) Loss 2.3179 (2.5571) Prec@1 49.609 (43.969) Prec@5 75.000 (69.131)
Test: [50/196] Time 0.042 (0.195) Loss 2.5771 (2.5542) Prec@1 45.312 (44.148) Prec@5 72.266 (69.278)
Test: [60/196] Time 0.042 (0.199) Loss 2.5044 (2.5397) Prec@1 46.875 (44.467) Prec@5 69.531 (69.397)
Test: [70/196] Time 0.045 (0.200) Loss 2.4769 (2.5338) Prec@1 47.266 (44.581) Prec@5 72.656 (69.454)
Test: [80/196] Time 0.045 (0.195) Loss 2.3949 (2.5403) Prec@1 53.125 (44.522) Prec@5 74.219 (69.430)
Test: [90/196] Time 0.044 (0.192) Loss 2.6200 (2.5416) Prec@1 46.875 (44.583) Prec@5 69.531 (69.510)
Test: [100/196] Time 0.044 (0.186) Loss 2.5963 (2.5387) Prec@1 44.531 (44.728) Prec@5 67.969 (69.535)
Test: [110/196] Time 0.044 (0.184) Loss 2.7527 (2.5408) Prec@1 41.016 (44.711) Prec@5 64.062 (69.538)
Test: [120/196] Time 0.269 (0.186) Loss 2.4088 (2.5389) Prec@1 46.484 (44.757) Prec@5 72.266 (69.551)
Test: [130/196] Time 0.046 (0.186) Loss 2.2152 (2.5345) Prec@1 49.609 (44.844) Prec@5 73.828 (69.603)
Test: [140/196] Time 0.325 (0.185) Loss 2.3687 (2.5352) Prec@1 49.219 (44.808) Prec@5 71.484 (69.559)
Test: [150/196] Time 0.124 (0.188) Loss 2.2076 (2.5352) Prec@1 53.125 (44.826) Prec@5 76.953 (69.583)
Test: [160/196] Time 0.042 (0.183) Loss 2.4652 (2.5333) Prec@1 51.172 (44.818) Prec@5 69.922 (69.580)
Test: [170/196] Time 0.043 (0.182) Loss 2.4317 (2.5350) Prec@1 43.750 (44.787) Prec@5 76.562 (69.616)
Test: [180/196] Time 0.041 (0.182) Loss 2.7624 (2.5396) Prec@1 40.625 (44.695) Prec@5 65.625 (69.542)
Test: [190/196] Time 0.044 (0.180) Loss 2.7788 (2.5429) Prec@1 41.797 (44.634) Prec@5 64.844 (69.417)
* Prec@1 44.616 Prec@5 69.424
Learning rate: 1e-06
Epoch: [94][0/5005] Time 0.994 (0.994) Data 0.879 (0.879) Loss 2.1902 (2.1902) Prec@1 48.438 (48.438) Prec@5 75.000 (75.000)
Epoch: [94][10/5005] Time 0.231 (0.288) Data 0.042 (0.124) Loss 2.2669 (2.2979) Prec@1 48.438 (47.195) Prec@5 72.656 (73.189)
Epoch: [94][20/5005] Time 0.227 (0.257) Data 0.044 (0.087) Loss 2.4748 (2.3186) Prec@1 45.312 (46.224) Prec@5 72.266 (72.861)
Epoch: [94][30/5005] Time 0.201 (0.242) Data 0.044 (0.074) Loss 2.2369 (2.2838) Prec@1 48.047 (47.253) Prec@5 73.047 (73.198)
Epoch: [94][40/5005] Time 0.210 (0.233) Data 0.043 (0.067) Loss 2.2721 (2.2936) Prec@1 46.875 (47.046) Prec@5 71.875 (72.971)
Epoch: [94][50/5005] Time 0.204 (0.227) Data 0.041 (0.063) Loss 2.1914 (2.2940) Prec@1 47.656 (47.082) Prec@5 74.219 (72.779)
Epoch: [94][60/5005] Time 0.195 (0.223) Data 0.058 (0.061) Loss 2.2335 (2.2947) Prec@1 45.703 (47.093) Prec@5 73.047 (72.701)
Epoch: [94][70/5005] Time 0.204 (0.220) Data 0.044 (0.059) Loss 2.2763 (2.3091) Prec@1 44.922 (46.875) Prec@5 72.656 (72.579)
Epoch: [94][80/5005] Time 0.196 (0.218) Data 0.048 (0.057) Loss 2.1763 (2.3078) Prec@1 48.828 (46.889) Prec@5 74.219 (72.574)
Epoch: [94][90/5005] Time 0.208 (0.217) Data 0.044 (0.055) Loss 2.2815 (2.3006) Prec@1 46.484 (47.124) Prec@5 71.094 (72.652)
Epoch: [94][100/5005] Time 0.209 (0.216) Data 0.041 (0.054) Loss 2.2234 (2.3048) Prec@1 46.484 (47.099) Prec@5 71.484 (72.490)
Epoch: [94][110/5005] Time 0.198 (0.214) Data 0.041 (0.053) Loss 2.3885 (2.3034) Prec@1 50.000 (47.273) Prec@5 71.484 (72.515)
Epoch: [94][120/5005] Time 0.193 (0.213) Data 0.064 (0.053) Loss 2.3800 (2.3042) Prec@1 45.312 (47.301) Prec@5 70.703 (72.492)
Epoch: [94][130/5005] Time 0.194 (0.212) Data 0.059 (0.053) Loss 2.5261 (2.3054) Prec@1 47.266 (47.307) Prec@5 66.797 (72.424)
Epoch: [94][140/5005] Time 0.202 (0.212) Data 0.043 (0.052) Loss 2.3456 (2.3040) Prec@1 46.094 (47.246) Prec@5 71.094 (72.487)
Epoch: [94][150/5005] Time 0.207 (0.211) Data 0.042 (0.052) Loss 2.3714 (2.3041) Prec@1 47.266 (47.266) Prec@5 71.094 (72.529)
Epoch: [94][160/5005] Time 0.214 (0.211) Data 0.042 (0.052) Loss 2.2681 (2.3078) Prec@1 46.875 (47.127) Prec@5 72.656 (72.520)
Epoch: [94][170/5005] Time 0.205 (0.211) Data 0.059 (0.052) Loss 2.4241 (2.3076) Prec@1 43.750 (47.149) Prec@5 72.266 (72.494)
Epoch: [94][180/5005] Time 0.209 (0.211) Data 0.057 (0.052) Loss 2.4396 (2.3081) Prec@1 49.219 (47.190) Prec@5 70.312 (72.512)
Epoch: [94][190/5005] Time 0.223 (0.211) Data 0.042 (0.052) Loss 2.3367 (2.3118) Prec@1 48.828 (47.116) Prec@5 71.484 (72.487)
Epoch: [94][200/5005] Time 0.220 (0.211) Data 0.044 (0.052) Loss 2.5089 (2.3132) Prec@1 41.797 (47.095) Prec@5 68.359 (72.433)
Epoch: [94][210/5005] Time 0.218 (0.212) Data 0.044 (0.051) Loss 2.1079 (2.3134) Prec@1 51.562 (47.064) Prec@5 74.609 (72.403)
Epoch: [94][220/5005] Time 0.210 (0.212) Data 0.062 (0.051) Loss 2.3819 (2.3124) Prec@1 44.922 (47.080) Prec@5 71.094 (72.458)
Epoch: [94][230/5005] Time 0.217 (0.212) Data 0.052 (0.051) Loss 2.4648 (2.3128) Prec@1 43.750 (47.119) Prec@5 67.578 (72.453)
Epoch: [94][240/5005] Time 0.210 (0.212) Data 0.045 (0.051) Loss 2.4039 (2.3135) Prec@1 44.141 (47.086) Prec@5 68.750 (72.444)
Epoch: [94][250/5005] Time 0.224 (0.213) Data 0.043 (0.050) Loss 2.4891 (2.3118) Prec@1 44.922 (47.132) Prec@5 70.312 (72.498)
Epoch: [94][260/5005] Time 0.215 (0.213) Data 0.050 (0.050) Loss 2.0586 (2.3114) Prec@1 50.781 (47.135) Prec@5 77.344 (72.507)
Epoch: [94][270/5005] Time 0.216 (0.213) Data 0.044 (0.050) Loss 2.2522 (2.3101) Prec@1 47.656 (47.139) Prec@5 72.656 (72.532)
Epoch: [94][280/5005] Time 0.214 (0.213) Data 0.044 (0.050) Loss 2.6242 (2.3127) Prec@1 42.188 (47.110) Prec@5 67.578 (72.474)
Epoch: [94][290/5005] Time 0.209 (0.213) Data 0.045 (0.050) Loss 2.0456 (2.3148) Prec@1 54.297 (47.095) Prec@5 75.781 (72.443)
Epoch: [94][300/5005] Time 0.220 (0.213) Data 0.043 (0.050) Loss 2.1564 (2.3143) Prec@1 50.000 (47.155) Prec@5 75.391 (72.468)
Epoch: [94][310/5005] Time 0.213 (0.213) Data 0.043 (0.050) Loss 2.1812 (2.3120) Prec@1 50.781 (47.212) Prec@5 75.391 (72.490)
Epoch: [94][320/5005] Time 0.219 (0.213) Data 0.044 (0.050) Loss 2.5074 (2.3128) Prec@1 42.969 (47.229) Prec@5 69.141 (72.497)
Epoch: [94][330/5005] Time 0.217 (0.213) Data 0.047 (0.050) Loss 1.9829 (2.3101) Prec@1 54.688 (47.244) Prec@5 76.562 (72.525)
Epoch: [94][340/5005] Time 0.214 (0.213) Data 0.059 (0.050) Loss 2.4244 (2.3129) Prec@1 46.484 (47.218) Prec@5 70.703 (72.484)
Epoch: [94][350/5005] Time 0.219 (0.213) Data 0.049 (0.050) Loss 2.3813 (2.3133) Prec@1 45.312 (47.192) Prec@5 67.578 (72.453)
Epoch: [94][360/5005] Time 0.217 (0.213) Data 0.053 (0.050) Loss 2.3451 (2.3132) Prec@1 47.266 (47.196) Prec@5 71.484 (72.439)
Epoch: [94][370/5005] Time 0.212 (0.213) Data 0.060 (0.050) Loss 2.3049 (2.3118) Prec@1 43.359 (47.218) Prec@5 73.438 (72.460)
Epoch: [94][380/5005] Time 0.224 (0.214) Data 0.049 (0.050) Loss 2.4488 (2.3128) Prec@1 46.484 (47.177) Prec@5 66.797 (72.437)
Epoch: [94][390/5005] Time 0.218 (0.214) Data 0.042 (0.050) Loss 2.3479 (2.3138) Prec@1 46.484 (47.163) Prec@5 70.703 (72.429)
Epoch: [94][400/5005] Time 0.202 (0.214) Data 0.048 (0.050) Loss 2.2694 (2.3137) Prec@1 46.875 (47.153) Prec@5 75.391 (72.418)
Epoch: [94][410/5005] Time 0.215 (0.214) Data 0.046 (0.050) Loss 2.2239 (2.3131) Prec@1 48.828 (47.193) Prec@5 74.609 (72.444)
Epoch: [94][420/5005] Time 0.224 (0.214) Data 0.066 (0.050) Loss 2.3119 (2.3126) Prec@1 45.703 (47.203) Prec@5 73.828 (72.462)
Epoch: [94][430/5005] Time 0.222 (0.214) Data 0.044 (0.050) Loss 2.2369 (2.3122) Prec@1 47.656 (47.184) Prec@5 73.438 (72.480)
Epoch: [94][440/5005] Time 0.216 (0.214) Data 0.043 (0.050) Loss 2.2676 (2.3123) Prec@1 52.734 (47.168) Prec@5 74.609 (72.494)
Epoch: [94][450/5005] Time 0.214 (0.214) Data 0.044 (0.050) Loss 2.2054 (2.3137) Prec@1 46.875 (47.128) Prec@5 73.047 (72.472)
Epoch: [94][460/5005] Time 0.202 (0.214) Data 0.056 (0.050) Loss 2.2917 (2.3139) Prec@1 45.703 (47.111) Prec@5 73.047 (72.472)
Epoch: [94][470/5005] Time 0.209 (0.214) Data 0.043 (0.050) Loss 2.3589 (2.3150) Prec@1 46.484 (47.088) Prec@5 72.266 (72.451)
Epoch: [94][480/5005] Time 0.213 (0.214) Data 0.048 (0.050) Loss 2.2871 (2.3148) Prec@1 48.047 (47.098) Prec@5 73.828 (72.452)
Epoch: [94][490/5005] Time 0.214 (0.214) Data 0.042 (0.049) Loss 2.3068 (2.3153) Prec@1 49.609 (47.066) Prec@5 73.047 (72.449)
Epoch: [94][500/5005] Time 0.207 (0.214) Data 0.055 (0.050) Loss 2.4160 (2.3170) Prec@1 47.266 (47.039) Prec@5 70.703 (72.408)
Epoch: [94][510/5005] Time 0.208 (0.214) Data 0.059 (0.050) Loss 2.5488 (2.3173) Prec@1 40.234 (47.047) Prec@5 68.359 (72.389)
Epoch: [94][520/5005] Time 0.208 (0.214) Data 0.051 (0.050) Loss 2.3542 (2.3168) Prec@1 44.141 (47.050) Prec@5 72.266 (72.410)
Epoch: [94][530/5005] Time 0.217 (0.214) Data 0.044 (0.049) Loss 2.2635 (2.3169) Prec@1 51.172 (47.035) Prec@5 72.266 (72.405)
Epoch: [94][540/5005] Time 0.217 (0.214) Data 0.046 (0.049) Loss 2.4549 (2.3185) Prec@1 44.141 (47.014) Prec@5 70.312 (72.369)
Epoch: [94][550/5005] Time 0.219 (0.214) Data 0.043 (0.049) Loss 2.2738 (2.3183) Prec@1 43.750 (46.999) Prec@5 75.391 (72.365)
Epoch: [94][560/5005] Time 0.215 (0.214) Data 0.043 (0.049) Loss 2.4627 (2.3181) Prec@1 42.969 (47.005) Prec@5 71.875 (72.381)
Epoch: [94][570/5005] Time 0.211 (0.214) Data 0.043 (0.049) Loss 2.3965 (2.3193) Prec@1 46.875 (46.977) Prec@5 70.312 (72.355)
Epoch: [94][580/5005] Time 0.208 (0.214) Data 0.050 (0.049) Loss 2.4280 (2.3190) Prec@1 42.969 (46.980) Prec@5 70.703 (72.361)
Epoch: [94][590/5005] Time 0.221 (0.214) Data 0.039 (0.049) Loss 2.3797 (2.3191) Prec@1 45.703 (46.979) Prec@5 69.922 (72.349)
Epoch: [94][600/5005] Time 0.209 (0.214) Data 0.041 (0.049) Loss 2.3028 (2.3201) Prec@1 46.484 (46.957) Prec@5 73.438 (72.346)
Epoch: [94][610/5005] Time 0.206 (0.214) Data 0.044 (0.049) Loss 2.3086 (2.3202) Prec@1 44.531 (46.950) Prec@5 74.609 (72.344)
Epoch: [94][620/5005] Time 0.212 (0.214) Data 0.042 (0.049) Loss 2.2561 (2.3197) Prec@1 47.656 (46.998) Prec@5 72.266 (72.346)
Epoch: [94][630/5005] Time 0.220 (0.214) Data 0.047 (0.049) Loss 2.5970 (2.3202) Prec@1 42.188 (46.991) Prec@5 66.797 (72.343)
Epoch: [94][640/5005] Time 0.213 (0.214) Data 0.050 (0.049) Loss 2.3277 (2.3197) Prec@1 47.656 (47.003) Prec@5 71.875 (72.350)
Epoch: [94][650/5005] Time 0.207 (0.214) Data 0.045 (0.049) Loss 2.4550 (2.3203) Prec@1 42.969 (46.987) Prec@5 66.797 (72.334)
Epoch: [94][660/5005] Time 0.208 (0.214) Data 0.044 (0.049) Loss 2.4431 (2.3195) Prec@1 43.359 (46.990) Prec@5 73.438 (72.352)
Epoch: [94][670/5005] Time 0.217 (0.214) Data 0.045 (0.049) Loss 2.5760 (2.3196) Prec@1 44.141 (47.002) Prec@5 69.531 (72.347)
Epoch: [94][680/5005] Time 0.215 (0.214) Data 0.041 (0.049) Loss 2.3018 (2.3196) Prec@1 45.312 (46.996) Prec@5 75.000 (72.356)
Epoch: [94][690/5005] Time 0.216 (0.214) Data 0.042 (0.049) Loss 2.2735 (2.3190) Prec@1 48.828 (47.007) Prec@5 76.562 (72.369)
Epoch: [94][700/5005] Time 0.210 (0.214) Data 0.043 (0.048) Loss 2.3216 (2.3187) Prec@1 47.656 (47.010) Prec@5 72.656 (72.380)
Epoch: [94][710/5005] Time 0.216 (0.214) Data 0.043 (0.048) Loss 2.1259 (2.3188) Prec@1 49.219 (47.013) Prec@5 75.781 (72.379)
Epoch: [94][720/5005] Time 0.210 (0.214) Data 0.043 (0.048) Loss 2.2393 (2.3177) Prec@1 48.828 (47.030) Prec@5 76.562 (72.399)
Epoch: [94][730/5005] Time 0.204 (0.214) Data 0.057 (0.048) Loss 2.4891 (2.3177) Prec@1 44.141 (47.046) Prec@5 69.922 (72.396)
Epoch: [94][740/5005] Time 0.213 (0.214) Data 0.064 (0.048) Loss 2.4004 (2.3177) Prec@1 46.484 (47.064) Prec@5 71.094 (72.394)
Epoch: [94][750/5005] Time 0.207 (0.214) Data 0.062 (0.049) Loss 2.0919 (2.3180) Prec@1 49.219 (47.060) Prec@5 75.781 (72.393)
Epoch: [94][760/5005] Time 0.208 (0.214) Data 0.043 (0.049) Loss 2.2781 (2.3180) Prec@1 46.094 (47.069) Prec@5 76.172 (72.394)
Epoch: [94][770/5005] Time 0.212 (0.214) Data 0.044 (0.049) Loss 2.3608 (2.3168) Prec@1 42.188 (47.098) Prec@5 71.484 (72.413)
Epoch: [94][780/5005] Time 0.213 (0.214) Data 0.047 (0.049) Loss 2.2777 (2.3165) Prec@1 45.703 (47.106) Prec@5 68.359 (72.407)
Epoch: [94][790/5005] Time 0.208 (0.213) Data 0.045 (0.049) Loss 2.2148 (2.3159) Prec@1 48.438 (47.126) Prec@5 74.609 (72.429)
Epoch: [94][800/5005] Time 0.217 (0.213) Data 0.043 (0.049) Loss 2.1264 (2.3150) Prec@1 50.391 (47.146) Prec@5 75.000 (72.442)
Epoch: [94][810/5005] Time 0.219 (0.213) Data 0.046 (0.049) Loss 2.3485 (2.3150) Prec@1 45.312 (47.148) Prec@5 71.094 (72.451)
Epoch: [94][820/5005] Time 0.223 (0.213) Data 0.042 (0.049) Loss 2.4645 (2.3154) Prec@1 45.703 (47.139) Prec@5 69.531 (72.446)
Epoch: [94][830/5005] Time 0.211 (0.213) Data 0.046 (0.049) Loss 2.3246 (2.3153) Prec@1 44.922 (47.147) Prec@5 73.828 (72.440)
Epoch: [94][840/5005] Time 0.213 (0.213) Data 0.044 (0.049) Loss 2.2367 (2.3156) Prec@1 51.562 (47.150) Prec@5 72.266 (72.436)
Epoch: [94][850/5005] Time 0.208 (0.213) Data 0.039 (0.049) Loss 2.6414 (2.3157) Prec@1 42.578 (47.138) Prec@5 69.531 (72.436)
Epoch: [94][860/5005] Time 0.207 (0.213) Data 0.051 (0.049) Loss 2.4234 (2.3162) Prec@1 41.797 (47.129) Prec@5 70.703 (72.424)
Epoch: [94][870/5005] Time 0.216 (0.213) Data 0.043 (0.049) Loss 2.2814 (2.3151) Prec@1 43.750 (47.148) Prec@5 73.438 (72.437)
Epoch: [94][880/5005] Time 0.196 (0.213) Data 0.049 (0.049) Loss 2.2943 (2.3156) Prec@1 45.312 (47.142) Prec@5 71.484 (72.442)
Epoch: [94][890/5005] Time 0.212 (0.213) Data 0.050 (0.049) Loss 2.6498 (2.3152) Prec@1 42.969 (47.131) Prec@5 66.406 (72.454)
Epoch: [94][900/5005] Time 0.213 (0.213) Data 0.051 (0.049) Loss 2.3068 (2.3148) Prec@1 45.312 (47.125) Prec@5 73.047 (72.460)
Epoch: [94][910/5005] Time 0.203 (0.213) Data 0.057 (0.049) Loss 2.2664 (2.3150) Prec@1 44.922 (47.120) Prec@5 76.953 (72.465)
Epoch: [94][920/5005] Time 0.211 (0.213) Data 0.049 (0.049) Loss 2.4230 (2.3142) Prec@1 44.922 (47.138) Prec@5 71.094 (72.484)
Epoch: [94][930/5005] Time 0.212 (0.213) Data 0.044 (0.049) Loss 2.4582 (2.3139) Prec@1 46.484 (47.146) Prec@5 68.750 (72.492)
Epoch: [94][940/5005] Time 0.213 (0.213) Data 0.043 (0.049) Loss 2.1521 (2.3141) Prec@1 45.703 (47.143) Prec@5 78.125 (72.494)
Epoch: [94][950/5005] Time 0.207 (0.213) Data 0.048 (0.049) Loss 2.4690 (2.3152) Prec@1 43.359 (47.137) Prec@5 69.141 (72.472)
Epoch: [94][960/5005] Time 0.218 (0.213) Data 0.043 (0.049) Loss 2.4688 (2.3154) Prec@1 46.875 (47.132) Prec@5 72.266 (72.469)
Epoch: [94][970/5005] Time 0.216 (0.213) Data 0.053 (0.049) Loss 2.0530 (2.3150) Prec@1 50.781 (47.135) Prec@5 76.562 (72.465)
Epoch: [94][980/5005] Time 0.207 (0.213) Data 0.046 (0.049) Loss 2.2414 (2.3147) Prec@1 48.828 (47.139) Prec@5 71.094 (72.468)
Epoch: [94][990/5005] Time 0.213 (0.213) Data 0.043 (0.049) Loss 2.4532 (2.3150) Prec@1 43.750 (47.130) Prec@5 70.703 (72.463)
Epoch: [94][1000/5005] Time 0.216 (0.213) Data 0.043 (0.048) Loss 2.3883 (2.3147) Prec@1 47.266 (47.139) Prec@5 73.828 (72.467)
Epoch: [94][1010/5005] Time 0.213 (0.213) Data 0.043 (0.048) Loss 2.3227 (2.3144) Prec@1 47.656 (47.142) Prec@5 73.047 (72.471)
Epoch: [94][1020/5005] Time 0.208 (0.213) Data 0.044 (0.048) Loss 2.1435 (2.3148) Prec@1 53.516 (47.133) Prec@5 74.609 (72.463)
Epoch: [94][1030/5005] Time 0.214 (0.213) Data 0.041 (0.048) Loss 2.0814 (2.3141) Prec@1 50.781 (47.139) Prec@5 79.297 (72.477)
Epoch: [94][1040/5005] Time 0.203 (0.213) Data 0.045 (0.048) Loss 2.5121 (2.3141) Prec@1 41.797 (47.133) Prec@5 70.703 (72.472)
Epoch: [94][1050/5005] Time 0.215 (0.213) Data 0.043 (0.048) Loss 2.4168 (2.3143) Prec@1 45.312 (47.112) Prec@5 69.531 (72.464)
Epoch: [94][1060/5005] Time 0.219 (0.213) Data 0.045 (0.048) Loss 2.4769 (2.3146) Prec@1 46.875 (47.118) Prec@5 71.484 (72.469)
Epoch: [94][1070/5005] Time 0.205 (0.213) Data 0.056 (0.048) Loss 2.2640 (2.3147) Prec@1 48.047 (47.120) Prec@5 74.609 (72.463)
Epoch: [94][1080/5005] Time 0.222 (0.213) Data 0.042 (0.048) Loss 2.3191 (2.3151) Prec@1 46.875 (47.119) Prec@5 73.438 (72.455)
Epoch: [94][1090/5005] Time 0.217 (0.213) Data 0.044 (0.048) Loss 2.1491 (2.3148) Prec@1 49.609 (47.128) Prec@5 77.734 (72.460)
Epoch: [94][1100/5005] Time 0.218 (0.213) Data 0.045 (0.048) Loss 2.1716 (2.3142) Prec@1 51.172 (47.138) Prec@5 72.656 (72.480)
Epoch: [94][1110/5005] Time 0.211 (0.213) Data 0.067 (0.048) Loss 2.2655 (2.3139) Prec@1 45.312 (47.139) Prec@5 73.828 (72.487)
Epoch: [94][1120/5005] Time 0.206 (0.213) Data 0.048 (0.048) Loss 2.2665 (2.3131) Prec@1 52.734 (47.152) Prec@5 74.219 (72.506)
Epoch: [94][1130/5005] Time 0.216 (0.213) Data 0.052 (0.049) Loss 2.2966 (2.3132) Prec@1 49.219 (47.151) Prec@5 74.609 (72.500)
Epoch: [94][1140/5005] Time 0.213 (0.213) Data 0.048 (0.049) Loss 2.2635 (2.3126) Prec@1 49.219 (47.164) Prec@5 73.047 (72.512)
Epoch: [94][1150/5005] Time 0.208 (0.213) Data 0.045 (0.049) Loss 2.1881 (2.3123) Prec@1 48.828 (47.177) Prec@5 73.828 (72.513)
Epoch: [94][1160/5005] Time 0.204 (0.213) Data 0.052 (0.049) Loss 2.4318 (2.3122) Prec@1 48.828 (47.192) Prec@5 70.312 (72.511)
Epoch: [94][1170/5005] Time 0.211 (0.213) Data 0.045 (0.049) Loss 2.2163 (2.3118) Prec@1 48.047 (47.194) Prec@5 76.172 (72.515)
Epoch: [94][1180/5005] Time 0.209 (0.212) Data 0.041 (0.049) Loss 2.3502 (2.3117) Prec@1 48.828 (47.194) Prec@5 74.219 (72.521)
Epoch: [94][1190/5005] Time 0.214 (0.212) Data 0.043 (0.048) Loss 2.1039 (2.3111) Prec@1 51.953 (47.207) Prec@5 73.438 (72.522)
Epoch: [94][1200/5005] Time 0.217 (0.212) Data 0.043 (0.048) Loss 2.3642 (2.3110) Prec@1 46.875 (47.216) Prec@5 71.094 (72.530)
Epoch: [94][1210/5005] Time 0.206 (0.212) Data 0.048 (0.048) Loss 2.2414 (2.3114) Prec@1 45.312 (47.215) Prec@5 74.609 (72.525)
Epoch: [94][1220/5005] Time 0.211 (0.212) Data 0.052 (0.048) Loss 2.1725 (2.3115) Prec@1 48.438 (47.209) Prec@5 76.562 (72.529)
Epoch: [94][1230/5005] Time 0.195 (0.212) Data 0.046 (0.048) Loss 2.3878 (2.3116) Prec@1 43.750 (47.201) Prec@5 73.828 (72.528)
Epoch: [94][1240/5005] Time 0.206 (0.212) Data 0.044 (0.048) Loss 2.3503 (2.3118) Prec@1 45.312 (47.190) Prec@5 70.703 (72.518)
Epoch: [94][1250/5005] Time 0.211 (0.212) Data 0.048 (0.048) Loss 2.5060 (2.3119) Prec@1 42.969 (47.194) Prec@5 68.359 (72.513)
Epoch: [94][1260/5005] Time 0.214 (0.212) Data 0.047 (0.048) Loss 2.0127 (2.3116) Prec@1 50.391 (47.200) Prec@5 75.781 (72.513)
Epoch: [94][1270/5005] Time 0.217 (0.212) Data 0.042 (0.048) Loss 2.4394 (2.3121) Prec@1 42.969 (47.188) Prec@5 69.141 (72.503)
Epoch: [94][1280/5005] Time 0.206 (0.212) Data 0.047 (0.048) Loss 2.2327 (2.3124) Prec@1 49.609 (47.190) Prec@5 74.219 (72.499)
Epoch: [94][1290/5005] Time 0.210 (0.212) Data 0.042 (0.048) Loss 2.0379 (2.3121) Prec@1 50.391 (47.199) Prec@5 75.391 (72.500)
Epoch: [94][1300/5005] Time 0.202 (0.212) Data 0.054 (0.048) Loss 2.0726 (2.3122) Prec@1 51.953 (47.195) Prec@5 76.562 (72.500)
Epoch: [94][1310/5005] Time 0.212 (0.212) Data 0.044 (0.048) Loss 2.2183 (2.3122) Prec@1 48.047 (47.191) Prec@5 74.609 (72.509)
Epoch: [94][1320/5005] Time 0.211 (0.212) Data 0.048 (0.048) Loss 2.4222 (2.3121) Prec@1 46.875 (47.198) Prec@5 72.656 (72.511)
Epoch: [94][1330/5005] Time 0.212 (0.212) Data 0.054 (0.048) Loss 2.4990 (2.3123) Prec@1 44.141 (47.200) Prec@5 70.703 (72.513)
Epoch: [94][1340/5005] Time 0.204 (0.212) Data 0.043 (0.048) Loss 2.2534 (2.3125) Prec@1 46.875 (47.200) Prec@5 74.609 (72.513)
Epoch: [94][1350/5005] Time 0.214 (0.212) Data 0.043 (0.048) Loss 2.5789 (2.3126) Prec@1 42.969 (47.198) Prec@5 69.141 (72.509)
Epoch: [94][1360/5005] Time 0.212 (0.212) Data 0.046 (0.048) Loss 2.2227 (2.3125) Prec@1 46.484 (47.198) Prec@5 73.438 (72.507)
Epoch: [94][1370/5005] Time 0.216 (0.212) Data 0.045 (0.048) Loss 2.3288 (2.3121) Prec@1 46.484 (47.203) Prec@5 70.703 (72.513)
Epoch: [94][1380/5005] Time 0.206 (0.212) Data 0.048 (0.048) Loss 2.3052 (2.3120) Prec@1 47.656 (47.208) Prec@5 72.656 (72.524)
Epoch: [94][1390/5005] Time 0.211 (0.212) Data 0.062 (0.049) Loss 2.2995 (2.3120) Prec@1 48.438 (47.206) Prec@5 72.266 (72.528)
Epoch: [94][1400/5005] Time 0.208 (0.212) Data 0.051 (0.049) Loss 2.2348 (2.3111) Prec@1 50.391 (47.225) Prec@5 70.703 (72.542)
Epoch: [94][1410/5005] Time 0.214 (0.212) Data 0.054 (0.049) Loss 2.2611 (2.3106) Prec@1 51.172 (47.235) Prec@5 72.656 (72.551)
Epoch: [94][1420/5005] Time 0.210 (0.212) Data 0.045 (0.049) Loss 2.4290 (2.3106) Prec@1 45.312 (47.235) Prec@5 70.312 (72.549)
Epoch: [94][1430/5005] Time 0.223 (0.212) Data 0.042 (0.049) Loss 2.0163 (2.3101) Prec@1 52.734 (47.245) Prec@5 76.953 (72.554)
Epoch: [94][1440/5005] Time 0.216 (0.212) Data 0.048 (0.049) Loss 2.1195 (2.3100) Prec@1 49.609 (47.239) Prec@5 77.344 (72.558)
Epoch: [94][1450/5005] Time 0.210 (0.212) Data 0.042 (0.049) Loss 2.2799 (2.3099) Prec@1 48.438 (47.242) Prec@5 73.828 (72.551)
Epoch: [94][1460/5005] Time 0.207 (0.212) Data 0.044 (0.049) Loss 2.5300 (2.3096) Prec@1 41.797 (47.245) Prec@5 66.797 (72.552)
Epoch: [94][1470/5005] Time 0.208 (0.212) Data 0.047 (0.049) Loss 2.2348 (2.3098) Prec@1 48.828 (47.245) Prec@5 75.391 (72.548)
Epoch: [94][1480/5005] Time 0.215 (0.212) Data 0.045 (0.049) Loss 2.2385 (2.3100) Prec@1 50.781 (47.246) Prec@5 74.609 (72.539)
Epoch: [94][1490/5005] Time 0.208 (0.212) Data 0.042 (0.049) Loss 2.5482 (2.3098) Prec@1 39.844 (47.240) Prec@5 69.922 (72.546)
Epoch: [94][1500/5005] Time 0.208 (0.212) Data 0.042 (0.049) Loss 2.2621 (2.3094) Prec@1 49.609 (47.254) Prec@5 72.266 (72.553)
Epoch: [94][1510/5005] Time 0.221 (0.212) Data 0.042 (0.048) Loss 2.2093 (2.3091) Prec@1 48.438 (47.257) Prec@5 71.094 (72.557)
Epoch: [94][1520/5005] Time 0.204 (0.212) Data 0.048 (0.048) Loss 2.4289 (2.3091) Prec@1 49.609 (47.258) Prec@5 69.922 (72.559)
Epoch: [94][1530/5005] Time 0.211 (0.212) Data 0.043 (0.048) Loss 2.3626 (2.3090) Prec@1 45.703 (47.260) Prec@5 73.828 (72.565)
Epoch: [94][1540/5005] Time 0.208 (0.212) Data 0.044 (0.048) Loss 2.3111 (2.3094) Prec@1 46.484 (47.252) Prec@5 71.094 (72.556)
Epoch: [94][1550/5005] Time 0.208 (0.212) Data 0.051 (0.048) Loss 2.2147 (2.3092) Prec@1 48.047 (47.256) Prec@5 77.734 (72.558)
Epoch: [94][1560/5005] Time 0.209 (0.212) Data 0.047 (0.048) Loss 2.1954 (2.3092) Prec@1 46.094 (47.261) Prec@5 74.219 (72.565)
Epoch: [94][1570/5005] Time 0.199 (0.212) Data 0.047 (0.049) Loss 2.1998 (2.3089) Prec@1 47.656 (47.268) Prec@5 74.219 (72.572)
Epoch: [94][1580/5005] Time 0.196 (0.212) Data 0.048 (0.049) Loss 2.1616 (2.3090) Prec@1 48.438 (47.266) Prec@5 75.781 (72.568)
Epoch: [94][1590/5005] Time 0.202 (0.212) Data 0.044 (0.049) Loss 2.2659 (2.3090) Prec@1 48.438 (47.263) Prec@5 73.047 (72.568)
Epoch: [94][1600/5005] Time 0.196 (0.212) Data 0.060 (0.049) Loss 2.2619 (2.3091) Prec@1 46.484 (47.262) Prec@5 72.266 (72.563)
Epoch: [94][1610/5005] Time 0.214 (0.212) Data 0.043 (0.049) Loss 2.3710 (2.3092) Prec@1 44.922 (47.263) Prec@5 74.609 (72.563)
Epoch: [94][1620/5005] Time 0.199 (0.212) Data 0.050 (0.049) Loss 2.5298 (2.3089) Prec@1 44.531 (47.263) Prec@5 70.703 (72.566)
Epoch: [94][1630/5005] Time 0.202 (0.212) Data 0.046 (0.049) Loss 2.2164 (2.3089) Prec@1 48.828 (47.268) Prec@5 72.656 (72.562)
Epoch: [94][1640/5005] Time 0.207 (0.211) Data 0.051 (0.049) Loss 2.4059 (2.3093) Prec@1 48.438 (47.261) Prec@5 71.875 (72.552)
Epoch: [94][1650/5005] Time 0.209 (0.211) Data 0.053 (0.049) Loss 2.3844 (2.3093) Prec@1 46.484 (47.262) Prec@5 69.141 (72.551)
Epoch: [94][1660/5005] Time 0.201 (0.211) Data 0.047 (0.049) Loss 2.2638 (2.3087) Prec@1 52.344 (47.277) Prec@5 73.828 (72.562)
Epoch: [94][1670/5005] Time 0.221 (0.211) Data 0.044 (0.049) Loss 2.1214 (2.3086) Prec@1 49.219 (47.277) Prec@5 75.781 (72.560)
Epoch: [94][1680/5005] Time 0.205 (0.211) Data 0.043 (0.049) Loss 2.3680 (2.3089) Prec@1 48.438 (47.274) Prec@5 69.922 (72.557)
Epoch: [94][1690/5005] Time 0.203 (0.211) Data 0.042 (0.049) Loss 2.1878 (2.3088) Prec@1 50.781 (47.274) Prec@5 71.875 (72.561)
Epoch: [94][1700/5005] Time 0.206 (0.211) Data 0.044 (0.049) Loss 2.2785 (2.3082) Prec@1 43.359 (47.279) Prec@5 74.609 (72.570)
Epoch: [94][1710/5005] Time 0.211 (0.211) Data 0.048 (0.049) Loss 2.1599 (2.3077) Prec@1 52.734 (47.285) Prec@5 74.219 (72.576)
Epoch: [94][1720/5005] Time 0.212 (0.211) Data 0.051 (0.049) Loss 2.4187 (2.3078) Prec@1 41.797 (47.275) Prec@5 73.438 (72.577)
Epoch: [94][1730/5005] Time 0.203 (0.211) Data 0.046 (0.049) Loss 2.2155 (2.3076) Prec@1 47.266 (47.273) Prec@5 74.219 (72.582)
Epoch: [94][1740/5005] Time 0.195 (0.211) Data 0.049 (0.049) Loss 2.4200 (2.3074) Prec@1 44.922 (47.271) Prec@5 71.484 (72.586)
Epoch: [94][1750/5005] Time 0.215 (0.211) Data 0.046 (0.049) Loss 2.3894 (2.3071) Prec@1 43.750 (47.273) Prec@5 70.312 (72.592)
Epoch: [94][1760/5005] Time 0.215 (0.211) Data 0.043 (0.049) Loss 2.0322 (2.3069) Prec@1 52.344 (47.280) Prec@5 78.125 (72.599)
Epoch: [94][1770/5005] Time 0.200 (0.211) Data 0.057 (0.049) Loss 2.3191 (2.3067) Prec@1 47.656 (47.282) Prec@5 75.000 (72.605)
Epoch: [94][1780/5005] Time 0.198 (0.211) Data 0.050 (0.049) Loss 2.3238 (2.3066) Prec@1 47.266 (47.280) Prec@5 70.312 (72.608)
Epoch: [94][1790/5005] Time 0.205 (0.211) Data 0.050 (0.049) Loss 2.0998 (2.3064) Prec@1 51.172 (47.286) Prec@5 76.172 (72.610)
Epoch: [94][1800/5005] Time 0.214 (0.211) Data 0.043 (0.049) Loss 2.2786 (2.3061) Prec@1 47.266 (47.293) Prec@5 73.438 (72.615)
Epoch: [94][1810/5005] Time 0.205 (0.211) Data 0.056 (0.049) Loss 2.0702 (2.3058) Prec@1 51.172 (47.293) Prec@5 76.172 (72.619)
Epoch: [94][1820/5005] Time 0.207 (0.211) Data 0.044 (0.049) Loss 2.3568 (2.3059) Prec@1 44.141 (47.292) Prec@5 69.922 (72.615)
Epoch: [94][1830/5005] Time 0.214 (0.211) Data 0.043 (0.049) Loss 2.1702 (2.3054) Prec@1 46.094 (47.295) Prec@5 74.609 (72.622)
Epoch: [94][1840/5005] Time 0.207 (0.211) Data 0.049 (0.049) Loss 2.3861 (2.3054) Prec@1 45.312 (47.292) Prec@5 71.484 (72.622)
Epoch: [94][1850/5005] Time 0.215 (0.211) Data 0.042 (0.049) Loss 2.2349 (2.3054) Prec@1 47.656 (47.293) Prec@5 74.219 (72.622)
Epoch: [94][1860/5005] Time 0.212 (0.211) Data 0.044 (0.049) Loss 2.2651 (2.3054) Prec@1 48.828 (47.294) Prec@5 74.219 (72.625)
Epoch: [94][1870/5005] Time 0.208 (0.211) Data 0.041 (0.049) Loss 2.6448 (2.3059) Prec@1 40.234 (47.286) Prec@5 66.797 (72.616)
Epoch: [94][1880/5005] Time 0.212 (0.211) Data 0.047 (0.049) Loss 2.2624 (2.3062) Prec@1 48.438 (47.286) Prec@5 73.438 (72.611)
Epoch: [94][1890/5005] Time 0.208 (0.211) Data 0.043 (0.049) Loss 2.2790 (2.3061) Prec@1 50.000 (47.286) Prec@5 72.656 (72.609)
Epoch: [94][1900/5005] Time 0.212 (0.211) Data 0.043 (0.049) Loss 2.3413 (2.3069) Prec@1 44.922 (47.275) Prec@5 75.781 (72.597)
Epoch: [94][1910/5005] Time 0.207 (0.211) Data 0.042 (0.049) Loss 2.2671 (2.3069) Prec@1 42.969 (47.265) Prec@5 75.781 (72.598)
Epoch: [94][1920/5005] Time 0.209 (0.211) Data 0.044 (0.049) Loss 2.0308 (2.3067) Prec@1 50.391 (47.265) Prec@5 79.297 (72.603)
Epoch: [94][1930/5005] Time 0.203 (0.211) Data 0.040 (0.049) Loss 2.2579 (2.3067) Prec@1 46.094 (47.260) Prec@5 71.875 (72.602)
Epoch: [94][1940/5005] Time 0.201 (0.211) Data 0.050 (0.048) Loss 2.1550 (2.3062) Prec@1 50.781 (47.269) Prec@5 73.828 (72.617)
Epoch: [94][1950/5005] Time 0.208 (0.211) Data 0.051 (0.048) Loss 2.3281 (2.3060) Prec@1 45.703 (47.273) Prec@5 71.484 (72.621)
Epoch: [94][1960/5005] Time 0.201 (0.211) Data 0.042 (0.048) Loss 2.3042 (2.3058) Prec@1 46.484 (47.281) Prec@5 75.000 (72.628)
Epoch: [94][1970/5005] Time 0.215 (0.211) Data 0.044 (0.048) Loss 2.2803 (2.3060) Prec@1 47.266 (47.273) Prec@5 72.656 (72.629)
Epoch: [94][1980/5005] Time 0.197 (0.211) Data 0.046 (0.048) Loss 2.2128 (2.3061) Prec@1 48.438 (47.272) Prec@5 69.922 (72.625)
Epoch: [94][1990/5005] Time 0.206 (0.211) Data 0.043 (0.048) Loss 2.1762 (2.3058) Prec@1 50.391 (47.279) Prec@5 78.125 (72.631)
Epoch: [94][2000/5005] Time 0.214 (0.211) Data 0.049 (0.048) Loss 2.0561 (2.3060) Prec@1 53.906 (47.280) Prec@5 77.734 (72.627)
Epoch: [94][2010/5005] Time 0.212 (0.211) Data 0.042 (0.048) Loss 2.2249 (2.3059) Prec@1 48.047 (47.278) Prec@5 73.828 (72.629)
Epoch: [94][2020/5005] Time 0.812 (0.211) Data 0.051 (0.048) Loss 2.2258 (2.3060) Prec@1 50.781 (47.279) Prec@5 74.219 (72.630)
Epoch: [94][2030/5005] Time 0.206 (0.211) Data 0.042 (0.048) Loss 2.3644 (2.3059) Prec@1 45.312 (47.285) Prec@5 73.047 (72.629)
Epoch: [94][2040/5005] Time 0.208 (0.211) Data 0.059 (0.048) Loss 2.2146 (2.3056) Prec@1 46.484 (47.289) Prec@5 72.656 (72.635)
Epoch: [94][2050/5005] Time 0.215 (0.211) Data 0.045 (0.048) Loss 2.4098 (2.3054) Prec@1 46.484 (47.292) Prec@5 68.750 (72.638)
Epoch: [94][2060/5005] Time 0.214 (0.211) Data 0.043 (0.048) Loss 2.2713 (2.3056) Prec@1 47.656 (47.288) Prec@5 70.703 (72.636)
Epoch: [94][2070/5005] Time 0.212 (0.211) Data 0.046 (0.048) Loss 2.4155 (2.3059) Prec@1 47.266 (47.284) Prec@5 69.531 (72.629)
Epoch: [94][2080/5005] Time 0.210 (0.211) Data 0.040 (0.048) Loss 2.3177 (2.3060) Prec@1 44.922 (47.280) Prec@5 71.094 (72.627)
Epoch: [94][2090/5005] Time 0.209 (0.211) Data 0.042 (0.048) Loss 2.0689 (2.3055) Prec@1 51.953 (47.288) Prec@5 75.781 (72.638)
Epoch: [94][2100/5005] Time 0.215 (0.211) Data 0.043 (0.048) Loss 2.3440 (2.3053) Prec@1 46.875 (47.293) Prec@5 73.047 (72.641)
Epoch: [94][2110/5005] Time 0.203 (0.211) Data 0.049 (0.048) Loss 2.1149 (2.3052) Prec@1 52.344 (47.299) Prec@5 76.562 (72.640)
Epoch: [94][2120/5005] Time 0.211 (0.211) Data 0.051 (0.048) Loss 2.2574 (2.3052) Prec@1 48.047 (47.300) Prec@5 72.656 (72.642)
Epoch: [94][2130/5005] Time 0.214 (0.211) Data 0.045 (0.048) Loss 2.2200 (2.3047) Prec@1 50.391 (47.310) Prec@5 75.000 (72.653)
Epoch: [94][2140/5005] Time 0.202 (0.211) Data 0.048 (0.048) Loss 2.1952 (2.3047) Prec@1 45.312 (47.304) Prec@5 76.172 (72.655)
Epoch: [94][2150/5005] Time 0.204 (0.211) Data 0.040 (0.048) Loss 2.1946 (2.3046) Prec@1 50.781 (47.306) Prec@5 73.828 (72.655)
Epoch: [94][2160/5005] Time 0.212 (0.211) Data 0.046 (0.048) Loss 2.2331 (2.3043) Prec@1 51.953 (47.317) Prec@5 74.609 (72.665)
Epoch: [94][2170/5005] Time 0.213 (0.211) Data 0.045 (0.048) Loss 2.1567 (2.3039) Prec@1 48.828 (47.324) Prec@5 74.609 (72.672)
Epoch: [94][2180/5005] Time 0.209 (0.211) Data 0.045 (0.048) Loss 2.4331 (2.3038) Prec@1 45.703 (47.325) Prec@5 66.797 (72.672)
Epoch: [94][2190/5005] Time 0.209 (0.211) Data 0.044 (0.048) Loss 2.4247 (2.3038) Prec@1 48.047 (47.328) Prec@5 67.969 (72.671)
Epoch: [94][2200/5005] Time 0.205 (0.211) Data 0.044 (0.048) Loss 2.4139 (2.3040) Prec@1 45.312 (47.323) Prec@5 68.359 (72.671)
Epoch: [94][2210/5005] Time 0.208 (0.211) Data 0.058 (0.048) Loss 2.4773 (2.3044) Prec@1 42.969 (47.318) Prec@5 66.797 (72.665)
Epoch: [94][2220/5005] Time 0.204 (0.211) Data 0.041 (0.048) Loss 2.4423 (2.3043) Prec@1 44.531 (47.316) Prec@5 71.875 (72.665)
Epoch: [94][2230/5005] Time 0.209 (0.211) Data 0.044 (0.048) Loss 2.4007 (2.3043) Prec@1 46.875 (47.313) Prec@5 70.312 (72.661)
Epoch: [94][2240/5005] Time 0.214 (0.211) Data 0.045 (0.048) Loss 2.3454 (2.3046) Prec@1 48.438 (47.306) Prec@5 74.609 (72.659)
Epoch: [94][2250/5005] Time 0.210 (0.211) Data 0.048 (0.048) Loss 2.1375 (2.3046) Prec@1 48.438 (47.304) Prec@5 77.734 (72.658)
Epoch: [94][2260/5005] Time 0.214 (0.211) Data 0.041 (0.048) Loss 2.2256 (2.3045) Prec@1 46.094 (47.308) Prec@5 73.047 (72.664)
Epoch: [94][2270/5005] Time 0.206 (0.211) Data 0.046 (0.048) Loss 2.4150 (2.3042) Prec@1 44.531 (47.319) Prec@5 70.703 (72.667)
Epoch: [94][2280/5005] Time 0.200 (0.211) Data 0.055 (0.048) Loss 2.2499 (2.3042) Prec@1 48.047 (47.323) Prec@5 76.562 (72.669)
Epoch: [94][2290/5005] Time 0.206 (0.211) Data 0.047 (0.048) Loss 2.2305 (2.3043) Prec@1 49.219 (47.321) Prec@5 74.219 (72.669)
Epoch: [94][2300/5005] Time 0.202 (0.211) Data 0.043 (0.048) Loss 2.2538 (2.3042) Prec@1 49.219 (47.326) Prec@5 71.875 (72.669)
Epoch: [94][2310/5005] Time 0.212 (0.211) Data 0.046 (0.048) Loss 2.1833 (2.3041) Prec@1 47.656 (47.329) Prec@5 75.000 (72.671)
Epoch: [94][2320/5005] Time 0.200 (0.211) Data 0.062 (0.048) Loss 2.5155 (2.3041) Prec@1 39.844 (47.328) Prec@5 70.312 (72.671)
Epoch: [94][2330/5005] Time 0.204 (0.211) Data 0.059 (0.048) Loss 2.2341 (2.3040) Prec@1 49.609 (47.330) Prec@5 71.875 (72.672)
Epoch: [94][2340/5005] Time 0.204 (0.211) Data 0.046 (0.048) Loss 2.1773 (2.3038) Prec@1 50.781 (47.334) Prec@5 75.391 (72.672)
Epoch: [94][2350/5005] Time 0.210 (0.211) Data 0.043 (0.048) Loss 2.1455 (2.3038) Prec@1 48.047 (47.330) Prec@5 72.656 (72.671)
Epoch: [94][2360/5005] Time 0.199 (0.211) Data 0.056 (0.048) Loss 2.2440 (2.3037) Prec@1 48.047 (47.329) Prec@5 72.656 (72.672)
Epoch: [94][2370/5005] Time 0.208 (0.211) Data 0.046 (0.048) Loss 2.3781 (2.3039) Prec@1 46.484 (47.324) Prec@5 71.094 (72.667)
Epoch: [94][2380/5005] Time 0.203 (0.211) Data 0.044 (0.048) Loss 2.3154 (2.3034) Prec@1 48.828 (47.336) Prec@5 74.609 (72.677)
Epoch: [94][2390/5005] Time 0.204 (0.211) Data 0.059 (0.048) Loss 2.2930 (2.3033) Prec@1 46.484 (47.340) Prec@5 71.484 (72.680)
Epoch: [94][2400/5005] Time 0.215 (0.211) Data 0.040 (0.048) Loss 2.2928 (2.3032) Prec@1 48.438 (47.338) Prec@5 70.703 (72.680)
Epoch: [94][2410/5005] Time 0.208 (0.211) Data 0.045 (0.048) Loss 2.5119 (2.3031) Prec@1 44.922 (47.340) Prec@5 66.797 (72.679)
Epoch: [94][2420/5005] Time 0.204 (0.211) Data 0.045 (0.048) Loss 2.3094 (2.3030) Prec@1 44.922 (47.344) Prec@5 73.047 (72.684)
Epoch: [94][2430/5005] Time 0.207 (0.211) Data 0.039 (0.048) Loss 2.1724 (2.3032) Prec@1 52.734 (47.342) Prec@5 74.609 (72.680)
Epoch: [94][2440/5005] Time 0.214 (0.211) Data 0.046 (0.048) Loss 2.0928 (2.3033) Prec@1 52.734 (47.344) Prec@5 76.953 (72.676)
Epoch: [94][2450/5005] Time 0.220 (0.211) Data 0.044 (0.048) Loss 2.1398 (2.3032) Prec@1 50.391 (47.344) Prec@5 71.484 (72.676)
Epoch: [94][2460/5005] Time 0.214 (0.211) Data 0.044 (0.048) Loss 2.2720 (2.3031) Prec@1 49.219 (47.345) Prec@5 73.047 (72.678)
Epoch: [94][2470/5005] Time 0.216 (0.211) Data 0.057 (0.048) Loss 2.3072 (2.3030) Prec@1 47.266 (47.345) Prec@5 70.312 (72.679)
Epoch: [94][2480/5005] Time 0.213 (0.211) Data 0.050 (0.048) Loss 2.4329 (2.3031) Prec@1 44.141 (47.341) Prec@5 69.531 (72.675)
Epoch: [94][2490/5005] Time 0.207 (0.211) Data 0.040 (0.048) Loss 2.1726 (2.3031) Prec@1 49.609 (47.338) Prec@5 74.609 (72.674)
Epoch: [94][2500/5005] Time 0.205 (0.211) Data 0.044 (0.048) Loss 2.4051 (2.3032) Prec@1 45.703 (47.334) Prec@5 68.750 (72.673)
Epoch: [94][2510/5005] Time 0.211 (0.210) Data 0.040 (0.048) Loss 2.4258 (2.3032) Prec@1 46.875 (47.334) Prec@5 71.094 (72.673)
Epoch: [94][2520/5005] Time 0.215 (0.210) Data 0.041 (0.048) Loss 2.2851 (2.3031) Prec@1 49.609 (47.336) Prec@5 70.703 (72.671)
Epoch: [94][2530/5005] Time 0.199 (0.210) Data 0.045 (0.048) Loss 2.4914 (2.3032) Prec@1 42.969 (47.336) Prec@5 68.359 (72.666)
Epoch: [94][2540/5005] Time 0.214 (0.210) Data 0.046 (0.048) Loss 2.2454 (2.3031) Prec@1 46.875 (47.336) Prec@5 73.438 (72.668)
Epoch: [94][2550/5005] Time 0.199 (0.210) Data 0.047 (0.048) Loss 2.2528 (2.3031) Prec@1 47.656 (47.344) Prec@5 76.562 (72.672)
Epoch: [94][2560/5005] Time 0.209 (0.210) Data 0.045 (0.048) Loss 2.5008 (2.3032) Prec@1 44.141 (47.342) Prec@5 67.969 (72.669)
Epoch: [94][2570/5005] Time 0.204 (0.210) Data 0.041 (0.048) Loss 2.3118 (2.3033) Prec@1 45.312 (47.339) Prec@5 72.656 (72.668)
Epoch: [94][2580/5005] Time 0.213 (0.210) Data 0.040 (0.048) Loss 2.3117 (2.3037) Prec@1 46.484 (47.331) Prec@5 72.656 (72.664)
Epoch: [94][2590/5005] Time 0.202 (0.210) Data 0.041 (0.048) Loss 2.3876 (2.3036) Prec@1 44.531 (47.332) Prec@5 71.484 (72.665)
Epoch: [94][2600/5005] Time 0.205 (0.210) Data 0.042 (0.048) Loss 2.3805 (2.3039) Prec@1 41.797 (47.327) Prec@5 73.438 (72.662)
Epoch: [94][2610/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.4630 (2.3036) Prec@1 44.531 (47.335) Prec@5 69.141 (72.667)
Epoch: [94][2620/5005] Time 0.217 (0.210) Data 0.046 (0.048) Loss 2.3525 (2.3035) Prec@1 46.875 (47.342) Prec@5 72.656 (72.669)
Epoch: [94][2630/5005] Time 0.205 (0.210) Data 0.065 (0.048) Loss 2.5070 (2.3040) Prec@1 42.969 (47.335) Prec@5 73.047 (72.668)
Epoch: [94][2640/5005] Time 0.202 (0.210) Data 0.047 (0.048) Loss 2.3911 (2.3038) Prec@1 46.094 (47.337) Prec@5 66.797 (72.669)
Epoch: [94][2650/5005] Time 0.210 (0.210) Data 0.045 (0.048) Loss 2.4555 (2.3039) Prec@1 47.266 (47.337) Prec@5 68.750 (72.665)
Epoch: [94][2660/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.2880 (2.3038) Prec@1 46.094 (47.340) Prec@5 73.047 (72.664)
Epoch: [94][2670/5005] Time 0.213 (0.210) Data 0.042 (0.048) Loss 2.1108 (2.3036) Prec@1 46.875 (47.345) Prec@5 76.172 (72.667)
Epoch: [94][2680/5005] Time 0.207 (0.210) Data 0.044 (0.048) Loss 2.1451 (2.3036) Prec@1 53.125 (47.339) Prec@5 75.391 (72.667)
Epoch: [94][2690/5005] Time 0.200 (0.210) Data 0.055 (0.048) Loss 2.1530 (2.3033) Prec@1 52.734 (47.343) Prec@5 72.266 (72.667)
Epoch: [94][2700/5005] Time 0.201 (0.210) Data 0.045 (0.048) Loss 2.3648 (2.3033) Prec@1 42.578 (47.339) Prec@5 70.703 (72.669)
Epoch: [94][2710/5005] Time 0.215 (0.210) Data 0.041 (0.048) Loss 2.0632 (2.3035) Prec@1 50.000 (47.331) Prec@5 76.562 (72.666)
Epoch: [94][2720/5005] Time 0.211 (0.210) Data 0.045 (0.048) Loss 2.2223 (2.3035) Prec@1 53.125 (47.332) Prec@5 75.000 (72.669)
Epoch: [94][2730/5005] Time 0.203 (0.210) Data 0.041 (0.048) Loss 2.4379 (2.3033) Prec@1 48.828 (47.333) Prec@5 69.141 (72.672)
Epoch: [94][2740/5005] Time 0.205 (0.210) Data 0.044 (0.048) Loss 2.2050 (2.3033) Prec@1 50.781 (47.336) Prec@5 76.172 (72.673)
Epoch: [94][2750/5005] Time 0.214 (0.210) Data 0.044 (0.048) Loss 2.2903 (2.3031) Prec@1 47.266 (47.340) Prec@5 74.609 (72.678)
Epoch: [94][2760/5005] Time 0.202 (0.210) Data 0.042 (0.048) Loss 2.3818 (2.3031) Prec@1 42.188 (47.339) Prec@5 70.703 (72.681)
Epoch: [94][2770/5005] Time 0.212 (0.210) Data 0.049 (0.048) Loss 2.2479 (2.3032) Prec@1 48.438 (47.340) Prec@5 73.047 (72.679)
Epoch: [94][2780/5005] Time 0.217 (0.210) Data 0.043 (0.048) Loss 2.5635 (2.3033) Prec@1 44.531 (47.342) Prec@5 68.359 (72.677)
Epoch: [94][2790/5005] Time 0.209 (0.210) Data 0.041 (0.048) Loss 2.4827 (2.3034) Prec@1 41.797 (47.340) Prec@5 70.703 (72.679)
Epoch: [94][2800/5005] Time 0.214 (0.210) Data 0.044 (0.048) Loss 2.0803 (2.3033) Prec@1 51.953 (47.345) Prec@5 77.344 (72.681)
Epoch: [94][2810/5005] Time 0.205 (0.210) Data 0.042 (0.048) Loss 2.5160 (2.3033) Prec@1 41.016 (47.344) Prec@5 69.922 (72.682)
Epoch: [94][2820/5005] Time 0.200 (0.210) Data 0.042 (0.048) Loss 1.9718 (2.3030) Prec@1 54.688 (47.350) Prec@5 78.125 (72.687)
Epoch: [94][2830/5005] Time 0.211 (0.210) Data 0.045 (0.048) Loss 2.5437 (2.3030) Prec@1 43.359 (47.351) Prec@5 67.578 (72.683)
Epoch: [94][2840/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.2877 (2.3030) Prec@1 44.922 (47.347) Prec@5 73.438 (72.686)
Epoch: [94][2850/5005] Time 0.202 (0.210) Data 0.065 (0.048) Loss 2.3517 (2.3030) Prec@1 47.656 (47.352) Prec@5 69.922 (72.681)
Epoch: [94][2860/5005] Time 0.208 (0.210) Data 0.051 (0.048) Loss 2.3174 (2.3031) Prec@1 49.219 (47.352) Prec@5 74.219 (72.682)
Epoch: [94][2870/5005] Time 0.220 (0.210) Data 0.046 (0.048) Loss 2.0599 (2.3027) Prec@1 51.562 (47.362) Prec@5 77.344 (72.691)
Epoch: [94][2880/5005] Time 0.197 (0.210) Data 0.045 (0.048) Loss 2.2148 (2.3027) Prec@1 43.750 (47.360) Prec@5 75.000 (72.691)
Epoch: [94][2890/5005] Time 0.200 (0.210) Data 0.062 (0.048) Loss 2.3725 (2.3025) Prec@1 42.188 (47.364) Prec@5 71.094 (72.694)
Epoch: [94][2900/5005] Time 0.204 (0.210) Data 0.064 (0.048) Loss 2.0425 (2.3023) Prec@1 48.438 (47.366) Prec@5 79.297 (72.700)
Epoch: [94][2910/5005] Time 0.201 (0.210) Data 0.055 (0.048) Loss 2.2067 (2.3024) Prec@1 48.828 (47.363) Prec@5 75.781 (72.703)
Epoch: [94][2920/5005] Time 0.202 (0.210) Data 0.049 (0.048) Loss 2.3865 (2.3024) Prec@1 44.922 (47.362) Prec@5 72.656 (72.706)
Epoch: [94][2930/5005] Time 0.216 (0.210) Data 0.043 (0.048) Loss 2.3371 (2.3023) Prec@1 43.750 (47.365) Prec@5 73.438 (72.707)
Epoch: [94][2940/5005] Time 0.213 (0.210) Data 0.042 (0.048) Loss 2.3295 (2.3022) Prec@1 46.875 (47.368) Prec@5 73.828 (72.709)
Epoch: [94][2950/5005] Time 0.215 (0.210) Data 0.044 (0.048) Loss 2.3979 (2.3020) Prec@1 46.484 (47.373) Prec@5 74.219 (72.715)
Epoch: [94][2960/5005] Time 0.216 (0.210) Data 0.048 (0.048) Loss 2.2904 (2.3018) Prec@1 48.047 (47.378) Prec@5 73.047 (72.716)
Epoch: [94][2970/5005] Time 0.207 (0.210) Data 0.047 (0.048) Loss 2.3829 (2.3017) Prec@1 41.016 (47.378) Prec@5 74.219 (72.722)
Epoch: [94][2980/5005] Time 0.208 (0.210) Data 0.057 (0.048) Loss 2.3888 (2.3016) Prec@1 46.484 (47.379) Prec@5 71.875 (72.724)
Epoch: [94][2990/5005] Time 0.204 (0.210) Data 0.041 (0.048) Loss 2.2180 (2.3015) Prec@1 51.953 (47.379) Prec@5 75.000 (72.729)
Epoch: [94][3000/5005] Time 0.206 (0.210) Data 0.058 (0.048) Loss 2.2327 (2.3013) Prec@1 46.875 (47.380) Prec@5 74.219 (72.730)
Epoch: [94][3010/5005] Time 0.198 (0.210) Data 0.059 (0.048) Loss 2.2468 (2.3012) Prec@1 44.922 (47.383) Prec@5 72.266 (72.729)
Epoch: [94][3020/5005] Time 0.198 (0.210) Data 0.051 (0.048) Loss 2.2218 (2.3014) Prec@1 47.266 (47.381) Prec@5 76.953 (72.727)
Epoch: [94][3030/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.2807 (2.3013) Prec@1 50.000 (47.384) Prec@5 73.047 (72.730)
Epoch: [94][3040/5005] Time 0.207 (0.210) Data 0.043 (0.048) Loss 2.2084 (2.3011) Prec@1 49.609 (47.391) Prec@5 74.219 (72.734)
Epoch: [94][3050/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.2777 (2.3010) Prec@1 45.312 (47.392) Prec@5 76.953 (72.738)
Epoch: [94][3060/5005] Time 0.208 (0.210) Data 0.043 (0.048) Loss 2.2064 (2.3009) Prec@1 50.391 (47.392) Prec@5 77.734 (72.743)
Epoch: [94][3070/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.2789 (2.3009) Prec@1 45.703 (47.391) Prec@5 71.484 (72.741)
Epoch: [94][3080/5005] Time 0.205 (0.210) Data 0.053 (0.048) Loss 2.1600 (2.3010) Prec@1 47.266 (47.389) Prec@5 75.391 (72.737)
Epoch: [94][3090/5005] Time 0.203 (0.210) Data 0.039 (0.048) Loss 2.5109 (2.3011) Prec@1 45.312 (47.389) Prec@5 68.359 (72.734)
Epoch: [94][3100/5005] Time 0.213 (0.210) Data 0.053 (0.048) Loss 2.4362 (2.3011) Prec@1 45.703 (47.388) Prec@5 69.531 (72.733)
Epoch: [94][3110/5005] Time 0.207 (0.210) Data 0.041 (0.048) Loss 2.2373 (2.3008) Prec@1 45.703 (47.393) Prec@5 79.297 (72.739)
Epoch: [94][3120/5005] Time 0.201 (0.210) Data 0.043 (0.048) Loss 2.3377 (2.3008) Prec@1 43.750 (47.391) Prec@5 71.875 (72.739)
Epoch: [94][3130/5005] Time 0.205 (0.210) Data 0.050 (0.048) Loss 2.3789 (2.3006) Prec@1 44.141 (47.394) Prec@5 72.266 (72.741)
Epoch: [94][3140/5005] Time 0.217 (0.210) Data 0.044 (0.048) Loss 2.0817 (2.3004) Prec@1 53.906 (47.399) Prec@5 74.219 (72.740)
Epoch: [94][3150/5005] Time 0.214 (0.210) Data 0.045 (0.048) Loss 2.2526 (2.3003) Prec@1 51.562 (47.405) Prec@5 72.656 (72.743)
Epoch: [94][3160/5005] Time 0.211 (0.210) Data 0.046 (0.048) Loss 2.2307 (2.3003) Prec@1 51.953 (47.411) Prec@5 75.391 (72.743)
Epoch: [94][3170/5005] Time 0.200 (0.210) Data 0.042 (0.048) Loss 2.2700 (2.3003) Prec@1 48.047 (47.413) Prec@5 74.219 (72.743)
Epoch: [94][3180/5005] Time 0.208 (0.210) Data 0.050 (0.048) Loss 2.1404 (2.3004) Prec@1 50.391 (47.413) Prec@5 73.828 (72.743)
Epoch: [94][3190/5005] Time 0.210 (0.210) Data 0.049 (0.048) Loss 2.3119 (2.3004) Prec@1 45.312 (47.411) Prec@5 71.875 (72.744)
Epoch: [94][3200/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.4644 (2.3004) Prec@1 46.484 (47.415) Prec@5 72.266 (72.744)
Epoch: [94][3210/5005] Time 0.224 (0.210) Data 0.042 (0.048) Loss 2.3889 (2.3004) Prec@1 48.438 (47.418) Prec@5 69.922 (72.744)
Epoch: [94][3220/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.3202 (2.3005) Prec@1 44.531 (47.416) Prec@5 73.047 (72.743)
Epoch: [94][3230/5005] Time 0.208 (0.210) Data 0.048 (0.048) Loss 2.1840 (2.3004) Prec@1 53.125 (47.421) Prec@5 72.266 (72.748)
Epoch: [94][3240/5005] Time 0.202 (0.210) Data 0.044 (0.048) Loss 2.3823 (2.3007) Prec@1 45.703 (47.415) Prec@5 72.266 (72.745)
Epoch: [94][3250/5005] Time 0.210 (0.210) Data 0.055 (0.048) Loss 2.2709 (2.3007) Prec@1 45.703 (47.413) Prec@5 76.562 (72.745)
Epoch: [94][3260/5005] Time 0.207 (0.210) Data 0.051 (0.048) Loss 2.1802 (2.3008) Prec@1 51.953 (47.414) Prec@5 75.391 (72.744)
Epoch: [94][3270/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.4101 (2.3006) Prec@1 46.484 (47.413) Prec@5 71.094 (72.747)
Epoch: [94][3280/5005] Time 0.209 (0.210) Data 0.050 (0.048) Loss 2.1365 (2.3006) Prec@1 50.781 (47.414) Prec@5 76.953 (72.746)
Epoch: [94][3290/5005] Time 0.202 (0.210) Data 0.047 (0.048) Loss 2.3439 (2.3005) Prec@1 46.484 (47.418) Prec@5 71.875 (72.746)
Epoch: [94][3300/5005] Time 0.209 (0.210) Data 0.045 (0.048) Loss 2.1218 (2.3005) Prec@1 48.047 (47.417) Prec@5 74.219 (72.743)
Epoch: [94][3310/5005] Time 0.211 (0.210) Data 0.042 (0.048) Loss 2.1767 (2.3005) Prec@1 50.391 (47.418) Prec@5 73.047 (72.742)
Epoch: [94][3320/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.2303 (2.3005) Prec@1 49.219 (47.416) Prec@5 74.609 (72.743)
Epoch: [94][3330/5005] Time 0.206 (0.210) Data 0.046 (0.048) Loss 2.3489 (2.3005) Prec@1 46.875 (47.413) Prec@5 71.875 (72.740)
Epoch: [94][3340/5005] Time 0.204 (0.210) Data 0.052 (0.048) Loss 2.3516 (2.3005) Prec@1 46.875 (47.411) Prec@5 74.219 (72.740)
Epoch: [94][3350/5005] Time 0.209 (0.210) Data 0.064 (0.048) Loss 2.3394 (2.3003) Prec@1 48.438 (47.412) Prec@5 73.047 (72.743)
Epoch: [94][3360/5005] Time 0.204 (0.210) Data 0.059 (0.048) Loss 2.1647 (2.3004) Prec@1 49.219 (47.411) Prec@5 76.562 (72.745)
Epoch: [94][3370/5005] Time 0.208 (0.210) Data 0.048 (0.048) Loss 2.3964 (2.3004) Prec@1 40.234 (47.405) Prec@5 72.656 (72.744)
Epoch: [94][3380/5005] Time 0.202 (0.210) Data 0.050 (0.048) Loss 2.1709 (2.3002) Prec@1 48.438 (47.407) Prec@5 74.609 (72.748)
Epoch: [94][3390/5005] Time 0.209 (0.210) Data 0.065 (0.048) Loss 2.1647 (2.3003) Prec@1 50.000 (47.401) Prec@5 75.000 (72.747)
Epoch: [94][3400/5005] Time 0.192 (0.210) Data 0.045 (0.048) Loss 2.2632 (2.3003) Prec@1 46.484 (47.399) Prec@5 73.828 (72.747)
Epoch: [94][3410/5005] Time 0.209 (0.210) Data 0.054 (0.048) Loss 2.1652 (2.3002) Prec@1 52.344 (47.402) Prec@5 76.953 (72.750)
Epoch: [94][3420/5005] Time 0.204 (0.210) Data 0.048 (0.048) Loss 2.2611 (2.3002) Prec@1 50.000 (47.399) Prec@5 73.828 (72.749)
Epoch: [94][3430/5005] Time 0.207 (0.210) Data 0.048 (0.048) Loss 2.3421 (2.3002) Prec@1 47.656 (47.401) Prec@5 71.094 (72.749)
Epoch: [94][3440/5005] Time 0.206 (0.210) Data 0.045 (0.048) Loss 2.3010 (2.3000) Prec@1 50.391 (47.403) Prec@5 70.312 (72.752)
Epoch: [94][3450/5005] Time 0.203 (0.210) Data 0.049 (0.048) Loss 2.1102 (2.2999) Prec@1 50.391 (47.407) Prec@5 72.266 (72.754)
Epoch: [94][3460/5005] Time 0.205 (0.210) Data 0.048 (0.048) Loss 2.3277 (2.2999) Prec@1 47.656 (47.409) Prec@5 71.094 (72.751)
Epoch: [94][3470/5005] Time 0.199 (0.210) Data 0.046 (0.048) Loss 2.0915 (2.2997) Prec@1 55.078 (47.414) Prec@5 76.953 (72.754)
Epoch: [94][3480/5005] Time 0.206 (0.210) Data 0.040 (0.048) Loss 2.1152 (2.2995) Prec@1 53.906 (47.420) Prec@5 76.172 (72.760)
Epoch: [94][3490/5005] Time 0.208 (0.210) Data 0.048 (0.048) Loss 2.3509 (2.2995) Prec@1 44.922 (47.420) Prec@5 72.656 (72.758)
Epoch: [94][3500/5005] Time 0.206 (0.210) Data 0.041 (0.048) Loss 2.1338 (2.2996) Prec@1 50.391 (47.421) Prec@5 76.172 (72.756)
Epoch: [94][3510/5005] Time 0.214 (0.210) Data 0.043 (0.048) Loss 2.1690 (2.2994) Prec@1 52.734 (47.423) Prec@5 75.391 (72.758)
Epoch: [94][3520/5005] Time 0.201 (0.210) Data 0.046 (0.048) Loss 2.4433 (2.2993) Prec@1 44.922 (47.424) Prec@5 72.266 (72.759)
Epoch: [94][3530/5005] Time 0.195 (0.209) Data 0.052 (0.048) Loss 2.1494 (2.2993) Prec@1 50.000 (47.427) Prec@5 76.172 (72.760)
Epoch: [94][3540/5005] Time 0.200 (0.209) Data 0.044 (0.048) Loss 2.1437 (2.2991) Prec@1 48.047 (47.432) Prec@5 76.953 (72.762)
Epoch: [94][3550/5005] Time 0.208 (0.209) Data 0.043 (0.048) Loss 2.2691 (2.2991) Prec@1 48.047 (47.434) Prec@5 74.219 (72.762)
Epoch: [94][3560/5005] Time 0.200 (0.209) Data 0.043 (0.048) Loss 2.4421 (2.2989) Prec@1 48.047 (47.437) Prec@5 69.531 (72.765)
Epoch: [94][3570/5005] Time 0.214 (0.209) Data 0.045 (0.048) Loss 2.3910 (2.2990) Prec@1 51.953 (47.437) Prec@5 69.922 (72.761)
Epoch: [94][3580/5005] Time 0.205 (0.209) Data 0.041 (0.048) Loss 2.2619 (2.2991) Prec@1 50.781 (47.436) Prec@5 72.266 (72.759)
Epoch: [94][3590/5005] Time 0.212 (0.209) Data 0.043 (0.048) Loss 2.3355 (2.2987) Prec@1 45.703 (47.443) Prec@5 71.094 (72.763)
Epoch: [94][3600/5005] Time 0.211 (0.209) Data 0.048 (0.048) Loss 2.3180 (2.2985) Prec@1 48.047 (47.447) Prec@5 72.656 (72.767)
Epoch: [94][3610/5005] Time 0.215 (0.209) Data 0.046 (0.048) Loss 2.2049 (2.2986) Prec@1 51.172 (47.445) Prec@5 73.438 (72.766)
Epoch: [94][3620/5005] Time 0.215 (0.209) Data 0.045 (0.048) Loss 2.4156 (2.2984) Prec@1 43.359 (47.449) Prec@5 72.656 (72.771)
Epoch: [94][3630/5005] Time 0.207 (0.209) Data 0.043 (0.048) Loss 2.5840 (2.2983) Prec@1 42.969 (47.454) Prec@5 70.703 (72.772)
Epoch: [94][3640/5005] Time 0.209 (0.209) Data 0.043 (0.048) Loss 2.3127 (2.2983) Prec@1 43.750 (47.455) Prec@5 72.266 (72.774)
Epoch: [94][3650/5005] Time 0.208 (0.209) Data 0.044 (0.048) Loss 2.0783 (2.2982) Prec@1 49.219 (47.457) Prec@5 76.953 (72.773)
Epoch: [94][3660/5005] Time 0.205 (0.209) Data 0.040 (0.048) Loss 2.3955 (2.2981) Prec@1 44.922 (47.457) Prec@5 70.312 (72.776)
Epoch: [94][3670/5005] Time 0.201 (0.209) Data 0.042 (0.048) Loss 2.3853 (2.2982) Prec@1 45.703 (47.457) Prec@5 72.266 (72.773)
Epoch: [94][3680/5005] Time 0.204 (0.209) Data 0.047 (0.048) Loss 2.1097 (2.2983) Prec@1 49.609 (47.456) Prec@5 76.172 (72.772)
Epoch: [94][3690/5005] Time 0.209 (0.209) Data 0.040 (0.048) Loss 2.1596 (2.2982) Prec@1 49.609 (47.456) Prec@5 75.391 (72.778)
Epoch: [94][3700/5005] Time 0.206 (0.209) Data 0.043 (0.048) Loss 2.4106 (2.2983) Prec@1 45.312 (47.454) Prec@5 70.703 (72.774)
Epoch: [94][3710/5005] Time 0.212 (0.209) Data 0.044 (0.048) Loss 2.2227 (2.2983) Prec@1 53.125 (47.458) Prec@5 71.875 (72.775)
Epoch: [94][3720/5005] Time 0.208 (0.209) Data 0.041 (0.048) Loss 2.4292 (2.2982) Prec@1 45.703 (47.460) Prec@5 71.094 (72.777)
Epoch: [94][3730/5005] Time 0.204 (0.209) Data 0.042 (0.048) Loss 2.1663 (2.2982) Prec@1 46.484 (47.457) Prec@5 76.953 (72.779)
Epoch: [94][3740/5005] Time 0.213 (0.209) Data 0.045 (0.048) Loss 2.1778 (2.2980) Prec@1 48.438 (47.458) Prec@5 75.781 (72.782)
Epoch: [94][3750/5005] Time 0.208 (0.209) Data 0.041 (0.048) Loss 2.0570 (2.2981) Prec@1 48.047 (47.454) Prec@5 78.125 (72.779)
Epoch: [94][3760/5005] Time 0.208 (0.209) Data 0.048 (0.048) Loss 2.2062 (2.2981) Prec@1 49.219 (47.453) Prec@5 74.609 (72.777)
Epoch: [94][3770/5005] Time 0.212 (0.209) Data 0.041 (0.048) Loss 2.2997 (2.2979) Prec@1 46.094 (47.456) Prec@5 72.656 (72.780)
Epoch: [94][3780/5005] Time 0.201 (0.209) Data 0.044 (0.048) Loss 2.1919 (2.2979) Prec@1 48.047 (47.457) Prec@5 73.047 (72.779)
Epoch: [94][3790/5005] Time 0.201 (0.209) Data 0.042 (0.048) Loss 2.3432 (2.2979) Prec@1 46.875 (47.454) Prec@5 71.875 (72.780)
Epoch: [94][3800/5005] Time 0.212 (0.209) Data 0.040 (0.048) Loss 2.3050 (2.2981) Prec@1 46.875 (47.451) Prec@5 71.094 (72.776)
Epoch: [94][3810/5005] Time 0.212 (0.209) Data 0.044 (0.048) Loss 2.2288 (2.2981) Prec@1 50.391 (47.452) Prec@5 73.828 (72.775)
Epoch: [94][3820/5005] Time 0.202 (0.209) Data 0.041 (0.048) Loss 2.2557 (2.2979) Prec@1 49.219 (47.458) Prec@5 74.609 (72.778)
Epoch: [94][3830/5005] Time 0.212 (0.209) Data 0.044 (0.048) Loss 2.3793 (2.2977) Prec@1 44.141 (47.460) Prec@5 72.656 (72.779)
Epoch: [94][3840/5005] Time 0.202 (0.209) Data 0.047 (0.048) Loss 2.5292 (2.2979) Prec@1 39.453 (47.454) Prec@5 69.922 (72.778)
Epoch: [94][3850/5005] Time 0.204 (0.209) Data 0.049 (0.048) Loss 2.2898 (2.2978) Prec@1 49.609 (47.457) Prec@5 75.000 (72.782)
Epoch: [94][3860/5005] Time 0.207 (0.209) Data 0.061 (0.048) Loss 2.0950 (2.2977) Prec@1 51.562 (47.459) Prec@5 75.781 (72.781)
Epoch: [94][3870/5005] Time 0.210 (0.209) Data 0.055 (0.048) Loss 2.2348 (2.2978) Prec@1 49.609 (47.458) Prec@5 71.094 (72.778)
Epoch: [94][3880/5005] Time 0.200 (0.209) Data 0.046 (0.048) Loss 2.1146 (2.2979) Prec@1 53.516 (47.456) Prec@5 75.781 (72.777)
Epoch: [94][3890/5005] Time 0.211 (0.209) Data 0.042 (0.048) Loss 2.5123 (2.2979) Prec@1 40.234 (47.456) Prec@5 69.141 (72.776)
Epoch: [94][3900/5005] Time 0.207 (0.209) Data 0.042 (0.048) Loss 2.5302 (2.2979) Prec@1 44.141 (47.454) Prec@5 68.359 (72.777)
Epoch: [94][3910/5005] Time 0.213 (0.209) Data 0.043 (0.048) Loss 2.3475 (2.2979) Prec@1 45.312 (47.452) Prec@5 70.703 (72.778)
Epoch: [94][3920/5005] Time 0.212 (0.209) Data 0.043 (0.048) Loss 2.2515 (2.2979) Prec@1 49.609 (47.452) Prec@5 72.266 (72.779)
Epoch: [94][3930/5005] Time 0.218 (0.209) Data 0.046 (0.048) Loss 2.2897 (2.2977) Prec@1 50.781 (47.457) Prec@5 72.266 (72.781)
Epoch: [94][3940/5005] Time 0.209 (0.209) Data 0.044 (0.048) Loss 2.2383 (2.2977) Prec@1 50.781 (47.458) Prec@5 74.219 (72.782)
Epoch: [94][3950/5005] Time 0.208 (0.209) Data 0.047 (0.048) Loss 2.1746 (2.2975) Prec@1 48.438 (47.461) Prec@5 73.438 (72.782)
Epoch: [94][3960/5005] Time 0.201 (0.209) Data 0.043 (0.048) Loss 2.2597 (2.2976) Prec@1 45.703 (47.457) Prec@5 73.828 (72.784)
Epoch: [94][3970/5005] Time 0.205 (0.209) Data 0.045 (0.048) Loss 2.2969 (2.2975) Prec@1 46.094 (47.459) Prec@5 75.391 (72.785)
Epoch: [94][3980/5005] Time 0.205 (0.209) Data 0.047 (0.048) Loss 2.2051 (2.2974) Prec@1 49.219 (47.459) Prec@5 76.562 (72.788)
Epoch: [94][3990/5005] Time 0.190 (0.209) Data 0.058 (0.048) Loss 2.4309 (2.2975) Prec@1 45.703 (47.455) Prec@5 70.312 (72.790)
Epoch: [94][4000/5005] Time 0.211 (0.209) Data 0.047 (0.048) Loss 2.1516 (2.2975) Prec@1 49.219 (47.456) Prec@5 75.781 (72.790)
Epoch: [94][4010/5005] Time 0.199 (0.209) Data 0.044 (0.048) Loss 2.3337 (2.2974) Prec@1 43.359 (47.457) Prec@5 70.703 (72.792)
Epoch: [94][4020/5005] Time 0.212 (0.209) Data 0.045 (0.048) Loss 2.4781 (2.2975) Prec@1 44.141 (47.453) Prec@5 68.750 (72.791)
Epoch: [94][4030/5005] Time 0.212 (0.209) Data 0.044 (0.048) Loss 2.4831 (2.2977) Prec@1 48.047 (47.454) Prec@5 71.094 (72.788)
Epoch: [94][4040/5005] Time 0.203 (0.209) Data 0.057 (0.048) Loss 2.3606 (2.2978) Prec@1 49.219 (47.452) Prec@5 71.484 (72.789)
Epoch: [94][4050/5005] Time 0.209 (0.209) Data 0.050 (0.048) Loss 2.5926 (2.2978) Prec@1 41.797 (47.448) Prec@5 67.188 (72.789)
Epoch: [94][4060/5005] Time 0.214 (0.209) Data 0.045 (0.048) Loss 2.3545 (2.2978) Prec@1 43.750 (47.446) Prec@5 69.141 (72.789)
Epoch: [94][4070/5005] Time 0.199 (0.209) Data 0.050 (0.048) Loss 2.4894 (2.2979) Prec@1 46.094 (47.444) Prec@5 71.094 (72.787)
Epoch: [94][4080/5005] Time 0.207 (0.209) Data 0.052 (0.048) Loss 2.3334 (2.2980) Prec@1 44.141 (47.442) Prec@5 71.484 (72.786)
Epoch: [94][4090/5005] Time 0.204 (0.209) Data 0.054 (0.048) Loss 2.4304 (2.2980) Prec@1 46.875 (47.440) Prec@5 70.312 (72.785)
Epoch: [94][4100/5005] Time 0.199 (0.209) Data 0.053 (0.048) Loss 2.2021 (2.2979) Prec@1 47.266 (47.441) Prec@5 73.438 (72.786)
Epoch: [94][4110/5005] Time 0.215 (0.209) Data 0.041 (0.048) Loss 2.4018 (2.2979) Prec@1 47.266 (47.438) Prec@5 73.438 (72.788)
Epoch: [94][4120/5005] Time 0.206 (0.209) Data 0.046 (0.048) Loss 2.3837 (2.2978) Prec@1 46.875 (47.439) Prec@5 70.703 (72.791)
Epoch: [94][4130/5005] Time 0.213 (0.209) Data 0.044 (0.048) Loss 2.5269 (2.2977) Prec@1 39.844 (47.438) Prec@5 69.531 (72.793)
Epoch: [94][4140/5005] Time 0.194 (0.209) Data 0.044 (0.048) Loss 2.3623 (2.2977) Prec@1 46.484 (47.440) Prec@5 72.266 (72.795)
Epoch: [94][4150/5005] Time 0.204 (0.209) Data 0.053 (0.048) Loss 2.5148 (2.2978) Prec@1 41.797 (47.439) Prec@5 70.312 (72.796)
Epoch: [94][4160/5005] Time 0.213 (0.209) Data 0.043 (0.048) Loss 2.1876 (2.2979) Prec@1 48.828 (47.438) Prec@5 74.219 (72.792)
Epoch: [94][4170/5005] Time 0.201 (0.209) Data 0.047 (0.048) Loss 2.1678 (2.2978) Prec@1 46.094 (47.438) Prec@5 75.000 (72.794)
Epoch: [94][4180/5005] Time 0.206 (0.209) Data 0.045 (0.048) Loss 2.1850 (2.2978) Prec@1 46.875 (47.438) Prec@5 74.219 (72.794)
Epoch: [94][4190/5005] Time 0.206 (0.209) Data 0.043 (0.048) Loss 2.2014 (2.2978) Prec@1 44.922 (47.437) Prec@5 74.609 (72.792)
Epoch: [94][4200/5005] Time 0.201 (0.209) Data 0.048 (0.048) Loss 2.1965 (2.2978) Prec@1 49.609 (47.440) Prec@5 71.094 (72.792)
Epoch: [94][4210/5005] Time 0.211 (0.209) Data 0.047 (0.048) Loss 2.1677 (2.2977) Prec@1 50.391 (47.441) Prec@5 74.219 (72.793)
Epoch: [94][4220/5005] Time 0.208 (0.209) Data 0.046 (0.048) Loss 2.5092 (2.2979) Prec@1 43.359 (47.439) Prec@5 69.922 (72.790)
Epoch: [94][4230/5005] Time 0.207 (0.209) Data 0.043 (0.048) Loss 2.4336 (2.2981) Prec@1 45.703 (47.437) Prec@5 70.312 (72.787)
Epoch: [94][4240/5005] Time 0.207 (0.209) Data 0.041 (0.048) Loss 2.0515 (2.2981) Prec@1 51.562 (47.436) Prec@5 75.781 (72.788)
Epoch: [94][4250/5005] Time 0.210 (0.209) Data 0.051 (0.048) Loss 2.2871 (2.2980) Prec@1 46.875 (47.436) Prec@5 71.484 (72.789)
Epoch: [94][4260/5005] Time 0.210 (0.209) Data 0.043 (0.048) Loss 2.2331 (2.2979) Prec@1 48.047 (47.439) Prec@5 74.609 (72.789)
Epoch: [94][4270/5005] Time 0.210 (0.209) Data 0.042 (0.048) Loss 2.5079 (2.2980) Prec@1 40.625 (47.437) Prec@5 70.703 (72.788)
Epoch: [94][4280/5005] Time 0.211 (0.209) Data 0.044 (0.048) Loss 2.4353 (2.2980) Prec@1 43.750 (47.436) Prec@5 68.750 (72.786)
Epoch: [94][4290/5005] Time 0.205 (0.209) Data 0.046 (0.048) Loss 2.5632 (2.2981) Prec@1 42.578 (47.433) Prec@5 66.406 (72.785)
Epoch: [94][4300/5005] Time 0.207 (0.209) Data 0.043 (0.048) Loss 2.0518 (2.2979) Prec@1 50.391 (47.435) Prec@5 77.734 (72.787)
Epoch: [94][4310/5005] Time 0.208 (0.209) Data 0.040 (0.048) Loss 2.2381 (2.2978) Prec@1 48.828 (47.436) Prec@5 73.438 (72.787)
Epoch: [94][4320/5005] Time 0.214 (0.209) Data 0.043 (0.048) Loss 2.3827 (2.2979) Prec@1 45.703 (47.435) Prec@5 71.484 (72.786)
Epoch: [94][4330/5005] Time 0.199 (0.209) Data 0.060 (0.048) Loss 2.1087 (2.2979) Prec@1 50.000 (47.438) Prec@5 75.391 (72.786)
Epoch: [94][4340/5005] Time 0.214 (0.209) Data 0.044 (0.048) Loss 2.2242 (2.2979) Prec@1 50.391 (47.437) Prec@5 70.312 (72.782)
Epoch: [94][4350/5005] Time 0.201 (0.209) Data 0.048 (0.048) Loss 2.3476 (2.2979) Prec@1 49.219 (47.439) Prec@5 73.047 (72.782)
Epoch: [94][4360/5005] Time 0.207 (0.209) Data 0.045 (0.048) Loss 2.1083 (2.2977) Prec@1 48.828 (47.439) Prec@5 75.781 (72.784)
Epoch: [94][4370/5005] Time 0.204 (0.209) Data 0.046 (0.048) Loss 2.2350 (2.2977) Prec@1 47.266 (47.441) Prec@5 74.219 (72.786)
Epoch: [94][4380/5005] Time 0.208 (0.209) Data 0.045 (0.048) Loss 2.3441 (2.2977) Prec@1 45.703 (47.440) Prec@5 71.484 (72.787)
Epoch: [94][4390/5005] Time 0.192 (0.209) Data 0.049 (0.048) Loss 2.4279 (2.2975) Prec@1 46.484 (47.444) Prec@5 71.875 (72.787)
Epoch: [94][4400/5005] Time 0.198 (0.209) Data 0.046 (0.048) Loss 2.2906 (2.2975) Prec@1 44.531 (47.443) Prec@5 71.094 (72.787)
Epoch: [94][4410/5005] Time 0.197 (0.209) Data 0.048 (0.048) Loss 2.2088 (2.2974) Prec@1 46.094 (47.445) Prec@5 75.781 (72.788)
Epoch: [94][4420/5005] Time 0.207 (0.209) Data 0.042 (0.048) Loss 2.0627 (2.2973) Prec@1 50.391 (47.447) Prec@5 75.391 (72.789)
Epoch: [94][4430/5005] Time 0.208 (0.209) Data 0.045 (0.048) Loss 2.4110 (2.2972) Prec@1 44.922 (47.450) Prec@5 68.750 (72.790)
Epoch: [94][4440/5005] Time 0.195 (0.209) Data 0.049 (0.048) Loss 2.2536 (2.2971) Prec@1 50.391 (47.451) Prec@5 74.609 (72.792)
Epoch: [94][4450/5005] Time 0.205 (0.209) Data 0.048 (0.048) Loss 2.0385 (2.2971) Prec@1 53.906 (47.455) Prec@5 77.344 (72.791)
Epoch: [94][4460/5005] Time 0.211 (0.209) Data 0.047 (0.048) Loss 2.2263 (2.2970) Prec@1 48.828 (47.455) Prec@5 73.438 (72.793)
Epoch: [94][4470/5005] Time 0.211 (0.209) Data 0.051 (0.048) Loss 2.1688 (2.2971) Prec@1 48.828 (47.451) Prec@5 72.656 (72.794)
Epoch: [94][4480/5005] Time 0.204 (0.209) Data 0.048 (0.048) Loss 2.0438 (2.2972) Prec@1 51.172 (47.450) Prec@5 73.828 (72.790)
Epoch: [94][4490/5005] Time 0.210 (0.209) Data 0.044 (0.048) Loss 2.3199 (2.2973) Prec@1 42.578 (47.449) Prec@5 75.000 (72.789)
Epoch: [94][4500/5005] Time 0.210 (0.209) Data 0.047 (0.048) Loss 2.2043 (2.2972) Prec@1 51.172 (47.451) Prec@5 75.391 (72.793)
Epoch: [94][4510/5005] Time 0.215 (0.209) Data 0.049 (0.048) Loss 2.1272 (2.2971) Prec@1 51.172 (47.452) Prec@5 76.562 (72.795)
Epoch: [94][4520/5005] Time 0.200 (0.209) Data 0.047 (0.048) Loss 2.2041 (2.2970) Prec@1 49.609 (47.454) Prec@5 77.344 (72.798)
Epoch: [94][4530/5005] Time 0.209 (0.209) Data 0.049 (0.048) Loss 2.1519 (2.2969) Prec@1 49.219 (47.456) Prec@5 78.906 (72.800)
Epoch: [94][4540/5005] Time 0.213 (0.209) Data 0.040 (0.048) Loss 2.3786 (2.2970) Prec@1 47.266 (47.455) Prec@5 75.000 (72.801)
Epoch: [94][4550/5005] Time 0.203 (0.209) Data 0.044 (0.048) Loss 2.4169 (2.2970) Prec@1 47.266 (47.457) Prec@5 69.531 (72.799)
Epoch: [94][4560/5005] Time 0.198 (0.209) Data 0.047 (0.048) Loss 2.3334 (2.2970) Prec@1 49.609 (47.461) Prec@5 72.656 (72.800)
Epoch: [94][4570/5005] Time 0.205 (0.209) Data 0.044 (0.048) Loss 2.3622 (2.2968) Prec@1 46.875 (47.461) Prec@5 72.266 (72.802)
Epoch: [94][4580/5005] Time 0.214 (0.209) Data 0.043 (0.048) Loss 2.4668 (2.2968) Prec@1 43.359 (47.459) Prec@5 71.094 (72.804)
Epoch: [94][4590/5005] Time 0.196 (0.209) Data 0.042 (0.048) Loss 2.1574 (2.2969) Prec@1 50.000 (47.459) Prec@5 76.172 (72.804)
Epoch: [94][4600/5005] Time 0.216 (0.209) Data 0.044 (0.048) Loss 2.1174 (2.2969) Prec@1 51.953 (47.462) Prec@5 75.781 (72.804)
Epoch: [94][4610/5005] Time 0.208 (0.209) Data 0.046 (0.048) Loss 2.0960 (2.2970) Prec@1 49.609 (47.460) Prec@5 75.781 (72.803)
Epoch: [94][4620/5005] Time 0.211 (0.209) Data 0.041 (0.048) Loss 2.0409 (2.2969) Prec@1 53.516 (47.461) Prec@5 75.781 (72.801)
Epoch: [94][4630/5005] Time 0.218 (0.209) Data 0.041 (0.048) Loss 2.0542 (2.2968) Prec@1 52.344 (47.463) Prec@5 76.172 (72.803)
Epoch: [94][4640/5005] Time 0.212 (0.209) Data 0.042 (0.048) Loss 2.3425 (2.2968) Prec@1 48.047 (47.464) Prec@5 73.438 (72.805)
Epoch: [94][4650/5005] Time 0.208 (0.209) Data 0.042 (0.048) Loss 2.3300 (2.2967) Prec@1 45.312 (47.465) Prec@5 70.703 (72.805)
Epoch: [94][4660/5005] Time 0.200 (0.209) Data 0.043 (0.048) Loss 2.5401 (2.2967) Prec@1 44.922 (47.465) Prec@5 67.188 (72.805)
Epoch: [94][4670/5005] Time 0.205 (0.209) Data 0.042 (0.048) Loss 2.1050 (2.2966) Prec@1 50.000 (47.468) Prec@5 74.219 (72.806)
Epoch: [94][4680/5005] Time 0.203 (0.209) Data 0.047 (0.048) Loss 2.2467 (2.2966) Prec@1 48.828 (47.467) Prec@5 78.516 (72.808)
Epoch: [94][4690/5005] Time 0.210 (0.209) Data 0.044 (0.048) Loss 2.3476 (2.2966) Prec@1 47.266 (47.466) Prec@5 71.094 (72.808)
Epoch: [94][4700/5005] Time 0.201 (0.209) Data 0.044 (0.048) Loss 2.1427 (2.2966) Prec@1 49.609 (47.464) Prec@5 76.953 (72.808)
Epoch: [94][4710/5005] Time 0.207 (0.209) Data 0.042 (0.048) Loss 2.0666 (2.2965) Prec@1 51.562 (47.467) Prec@5 77.734 (72.813)
Epoch: [94][4720/5005] Time 0.206 (0.209) Data 0.055 (0.048) Loss 2.1804 (2.2965) Prec@1 51.562 (47.467) Prec@5 76.562 (72.813)
Epoch: [94][4730/5005] Time 0.212 (0.209) Data 0.048 (0.048) Loss 2.2288 (2.2965) Prec@1 47.266 (47.468) Prec@5 75.000 (72.812)
Epoch: [94][4740/5005] Time 0.212 (0.209) Data 0.046 (0.048) Loss 2.3218 (2.2964) Prec@1 43.359 (47.472) Prec@5 73.438 (72.815)
Epoch: [94][4750/5005] Time 0.202 (0.209) Data 0.047 (0.048) Loss 2.2784 (2.2963) Prec@1 48.047 (47.476) Prec@5 71.875 (72.817)
Epoch: [94][4760/5005] Time 0.214 (0.209) Data 0.043 (0.048) Loss 2.5315 (2.2962) Prec@1 41.797 (47.476) Prec@5 67.578 (72.817)
Epoch: [94][4770/5005] Time 0.210 (0.209) Data 0.052 (0.048) Loss 2.1444 (2.2961) Prec@1 53.516 (47.481) Prec@5 76.172 (72.819)
Epoch: [94][4780/5005] Time 0.202 (0.209) Data 0.068 (0.048) Loss 2.3797 (2.2961) Prec@1 42.578 (47.484) Prec@5 71.094 (72.820)
Epoch: [94][4790/5005] Time 0.206 (0.209) Data 0.047 (0.048) Loss 2.5090 (2.2960) Prec@1 44.531 (47.487) Prec@5 71.094 (72.822)
Epoch: [94][4800/5005] Time 0.196 (0.209) Data 0.046 (0.048) Loss 2.4266 (2.2960) Prec@1 44.922 (47.486) Prec@5 72.266 (72.821)
Epoch: [94][4810/5005] Time 0.196 (0.209) Data 0.042 (0.048) Loss 2.5877 (2.2959) Prec@1 43.359 (47.486) Prec@5 66.406 (72.820)
Epoch: [94][4820/5005] Time 0.213 (0.209) Data 0.043 (0.048) Loss 2.4347 (2.2957) Prec@1 42.578 (47.489) Prec@5 70.312 (72.824)
Epoch: [94][4830/5005] Time 0.208 (0.209) Data 0.051 (0.048) Loss 2.2075 (2.2956) Prec@1 46.484 (47.493) Prec@5 74.219 (72.825)
Epoch: [94][4840/5005] Time 0.214 (0.209) Data 0.049 (0.048) Loss 2.1262 (2.2957) Prec@1 50.391 (47.491) Prec@5 72.656 (72.823)
Epoch: [94][4850/5005] Time 0.208 (0.209) Data 0.048 (0.048) Loss 2.3718 (2.2958) Prec@1 46.094 (47.493) Prec@5 73.047 (72.822)
Epoch: [94][4860/5005] Time 0.205 (0.209) Data 0.040 (0.048) Loss 2.1984 (2.2958) Prec@1 47.266 (47.492) Prec@5 74.219 (72.823)
Epoch: [94][4870/5005] Time 0.208 (0.209) Data 0.045 (0.048) Loss 2.2144 (2.2958) Prec@1 49.219 (47.492) Prec@5 73.828 (72.822)
Epoch: [94][4880/5005] Time 0.202 (0.209) Data 0.046 (0.048) Loss 2.1463 (2.2958) Prec@1 50.391 (47.493) Prec@5 75.781 (72.823)
Epoch: [94][4890/5005] Time 0.210 (0.209) Data 0.044 (0.048) Loss 2.3122 (2.2956) Prec@1 46.094 (47.493) Prec@5 73.438 (72.825)
Epoch: [94][4900/5005] Time 0.199 (0.209) Data 0.049 (0.048) Loss 2.0745 (2.2955) Prec@1 49.219 (47.497) Prec@5 77.344 (72.827)
Epoch: [94][4910/5005] Time 0.201 (0.209) Data 0.043 (0.048) Loss 2.2561 (2.2952) Prec@1 48.438 (47.502) Prec@5 74.219 (72.833)
Epoch: [94][4920/5005] Time 0.197 (0.209) Data 0.044 (0.048) Loss 2.2008 (2.2951) Prec@1 45.703 (47.499) Prec@5 72.266 (72.834)
Epoch: [94][4930/5005] Time 0.196 (0.209) Data 0.041 (0.048) Loss 2.4092 (2.2951) Prec@1 46.875 (47.500) Prec@5 68.750 (72.837)
Epoch: [94][4940/5005] Time 0.196 (0.209) Data 0.057 (0.048) Loss 2.2885 (2.2951) Prec@1 49.219 (47.502) Prec@5 72.656 (72.837)
Epoch: [94][4950/5005] Time 0.197 (0.209) Data 0.046 (0.048) Loss 2.0770 (2.2951) Prec@1 49.609 (47.501) Prec@5 76.172 (72.836)
Epoch: [94][4960/5005] Time 0.204 (0.209) Data 0.051 (0.048) Loss 2.3863 (2.2952) Prec@1 48.047 (47.502) Prec@5 70.312 (72.832)
Epoch: [94][4970/5005] Time 0.210 (0.209) Data 0.052 (0.048) Loss 2.4741 (2.2950) Prec@1 44.531 (47.505) Prec@5 72.266 (72.836)
Epoch: [94][4980/5005] Time 0.209 (0.209) Data 0.045 (0.048) Loss 2.2717 (2.2949) Prec@1 48.828 (47.508) Prec@5 75.781 (72.841)
Epoch: [94][4990/5005] Time 0.202 (0.209) Data 0.030 (0.048) Loss 2.3217 (2.2948) Prec@1 47.266 (47.512) Prec@5 73.047 (72.844)
Epoch: [94][5000/5005] Time 0.204 (0.209) Data 0.021 (0.048) Loss 2.2712 (2.2948) Prec@1 44.141 (47.513) Prec@5 73.047 (72.844)
Test: [0/196] Time 1.997 (1.997) Loss 2.3971 (2.3971) Prec@1 47.656 (47.656) Prec@5 72.656 (72.656)
Test: [10/196] Time 0.298 (0.325) Loss 2.4088 (2.5362) Prec@1 47.656 (44.389) Prec@5 73.047 (69.709)
Test: [20/196] Time 0.131 (0.229) Loss 2.3799 (2.5387) Prec@1 48.047 (44.327) Prec@5 73.047 (69.494)
Test: [30/196] Time 0.041 (0.216) Loss 2.4166 (2.5439) Prec@1 42.969 (43.901) Prec@5 69.922 (69.304)
Test: [40/196] Time 0.144 (0.197) Loss 2.3222 (2.5414) Prec@1 51.953 (44.160) Prec@5 74.609 (69.493)
Test: [50/196] Time 0.046 (0.207) Loss 2.6313 (2.5463) Prec@1 44.922 (43.957) Prec@5 69.141 (69.485)
Test: [60/196] Time 0.046 (0.195) Loss 2.4828 (2.5326) Prec@1 46.875 (44.269) Prec@5 70.312 (69.499)
Test: [70/196] Time 0.042 (0.193) Loss 2.4351 (2.5243) Prec@1 47.656 (44.339) Prec@5 69.922 (69.454)
Test: [80/196] Time 0.149 (0.188) Loss 2.3527 (2.5290) Prec@1 50.781 (44.348) Prec@5 76.562 (69.358)
Test: [90/196] Time 0.143 (0.186) Loss 2.6508 (2.5312) Prec@1 46.875 (44.463) Prec@5 66.016 (69.402)
Test: [100/196] Time 0.045 (0.188) Loss 2.5429 (2.5282) Prec@1 48.047 (44.612) Prec@5 67.969 (69.466)
Test: [110/196] Time 0.407 (0.187) Loss 2.7072 (2.5311) Prec@1 39.844 (44.602) Prec@5 66.406 (69.447)
Test: [120/196] Time 0.043 (0.183) Loss 2.3999 (2.5284) Prec@1 43.359 (44.628) Prec@5 73.438 (69.493)
Test: [130/196] Time 0.044 (0.183) Loss 2.2416 (2.5243) Prec@1 46.875 (44.686) Prec@5 73.438 (69.552)
Test: [140/196] Time 0.185 (0.182) Loss 2.3658 (2.5265) Prec@1 51.172 (44.634) Prec@5 69.141 (69.501)
Test: [150/196] Time 0.642 (0.184) Loss 2.1983 (2.5257) Prec@1 48.438 (44.671) Prec@5 77.734 (69.567)
Test: [160/196] Time 0.288 (0.184) Loss 2.4739 (2.5250) Prec@1 49.219 (44.640) Prec@5 68.359 (69.599)
Test: [170/196] Time 0.359 (0.182) Loss 2.4382 (2.5269) Prec@1 43.750 (44.609) Prec@5 71.484 (69.563)
Test: [180/196] Time 0.052 (0.180) Loss 2.7318 (2.5312) Prec@1 41.406 (44.501) Prec@5 69.141 (69.516)
Test: [190/196] Time 0.050 (0.182) Loss 2.7350 (2.5342) Prec@1 43.750 (44.486) Prec@5 64.062 (69.374)
* Prec@1 44.494 Prec@5 69.404
Learning rate: 1e-06
Epoch: [95][0/5005] Time 1.097 (1.097) Data 1.003 (1.003) Loss 2.3284 (2.3284) Prec@1 45.312 (45.312) Prec@5 75.000 (75.000)
Epoch: [95][10/5005] Time 0.195 (0.287) Data 0.041 (0.134) Loss 2.2978 (2.2941) Prec@1 46.094 (47.266) Prec@5 73.828 (73.153)
Epoch: [95][20/5005] Time 0.206 (0.248) Data 0.043 (0.092) Loss 2.3557 (2.3069) Prec@1 46.484 (46.298) Prec@5 72.266 (72.656)
Epoch: [95][30/5005] Time 0.219 (0.234) Data 0.044 (0.077) Loss 2.2164 (2.2810) Prec@1 50.391 (47.051) Prec@5 75.781 (73.349)
Epoch: [95][40/5005] Time 0.204 (0.227) Data 0.043 (0.069) Loss 2.2466 (2.2996) Prec@1 47.656 (46.542) Prec@5 74.219 (73.018)
Epoch: [95][50/5005] Time 0.204 (0.223) Data 0.044 (0.065) Loss 2.2917 (2.3048) Prec@1 43.359 (46.576) Prec@5 73.438 (72.871)
Epoch: [95][60/5005] Time 0.200 (0.220) Data 0.049 (0.062) Loss 2.3452 (2.3108) Prec@1 43.359 (46.311) Prec@5 69.922 (72.733)
Epoch: [95][70/5005] Time 0.211 (0.218) Data 0.044 (0.059) Loss 2.3734 (2.3217) Prec@1 43.750 (46.215) Prec@5 71.875 (72.579)
Epoch: [95][80/5005] Time 0.199 (0.216) Data 0.040 (0.058) Loss 2.2744 (2.3167) Prec@1 50.391 (46.277) Prec@5 71.484 (72.589)
Epoch: [95][90/5005] Time 0.187 (0.214) Data 0.045 (0.056) Loss 2.3304 (2.3151) Prec@1 48.047 (46.300) Prec@5 73.828 (72.558)
Epoch: [95][100/5005] Time 0.201 (0.213) Data 0.062 (0.056) Loss 2.1424 (2.3134) Prec@1 48.047 (46.484) Prec@5 76.953 (72.571)
Epoch: [95][110/5005] Time 0.201 (0.212) Data 0.044 (0.055) Loss 2.2815 (2.3144) Prec@1 47.656 (46.646) Prec@5 74.219 (72.589)
Epoch: [95][120/5005] Time 0.197 (0.211) Data 0.056 (0.055) Loss 2.3768 (2.3163) Prec@1 44.141 (46.697) Prec@5 73.047 (72.540)
Epoch: [95][130/5005] Time 0.201 (0.210) Data 0.042 (0.054) Loss 2.4660 (2.3162) Prec@1 49.609 (46.732) Prec@5 69.922 (72.537)
Epoch: [95][140/5005] Time 0.210 (0.210) Data 0.042 (0.053) Loss 2.2242 (2.3112) Prec@1 47.656 (46.845) Prec@5 74.609 (72.590)
Epoch: [95][150/5005] Time 0.202 (0.209) Data 0.045 (0.053) Loss 2.4082 (2.3121) Prec@1 44.922 (46.945) Prec@5 72.266 (72.563)
Epoch: [95][160/5005] Time 0.206 (0.209) Data 0.046 (0.052) Loss 2.1038 (2.3158) Prec@1 51.562 (46.933) Prec@5 75.000 (72.520)
Epoch: [95][170/5005] Time 0.223 (0.209) Data 0.043 (0.052) Loss 2.3796 (2.3165) Prec@1 48.047 (46.909) Prec@5 70.703 (72.480)
Epoch: [95][180/5005] Time 0.214 (0.210) Data 0.051 (0.052) Loss 2.4454 (2.3153) Prec@1 48.438 (46.985) Prec@5 68.359 (72.464)
Epoch: [95][190/5005] Time 0.211 (0.210) Data 0.044 (0.052) Loss 2.4036 (2.3197) Prec@1 48.828 (46.842) Prec@5 71.484 (72.364)
Epoch: [95][200/5005] Time 0.221 (0.211) Data 0.049 (0.051) Loss 2.6111 (2.3222) Prec@1 42.578 (46.809) Prec@5 67.578 (72.297)
Epoch: [95][210/5005] Time 0.227 (0.211) Data 0.042 (0.051) Loss 2.0579 (2.3221) Prec@1 50.781 (46.803) Prec@5 76.172 (72.284)
Epoch: [95][220/5005] Time 0.216 (0.211) Data 0.043 (0.051) Loss 2.4590 (2.3234) Prec@1 45.312 (46.806) Prec@5 71.484 (72.292)
Epoch: [95][230/5005] Time 0.211 (0.212) Data 0.048 (0.050) Loss 2.4051 (2.3219) Prec@1 49.219 (46.887) Prec@5 71.875 (72.298)
Epoch: [95][240/5005] Time 0.215 (0.212) Data 0.052 (0.050) Loss 2.0976 (2.3205) Prec@1 52.344 (46.914) Prec@5 75.391 (72.335)
Epoch: [95][250/5005] Time 0.222 (0.212) Data 0.068 (0.050) Loss 2.3996 (2.3194) Prec@1 45.312 (46.920) Prec@5 71.094 (72.345)
Epoch: [95][260/5005] Time 0.208 (0.212) Data 0.051 (0.050) Loss 2.1221 (2.3187) Prec@1 48.438 (46.953) Prec@5 75.781 (72.349)
Epoch: [95][270/5005] Time 0.207 (0.213) Data 0.061 (0.050) Loss 2.3398 (2.3184) Prec@1 47.656 (46.953) Prec@5 70.312 (72.365)
Epoch: [95][280/5005] Time 0.211 (0.213) Data 0.058 (0.050) Loss 2.7124 (2.3210) Prec@1 42.188 (46.933) Prec@5 68.750 (72.331)
Epoch: [95][290/5005] Time 0.212 (0.213) Data 0.050 (0.050) Loss 2.2589 (2.3227) Prec@1 49.219 (46.895) Prec@5 70.703 (72.283)
Epoch: [95][300/5005] Time 0.217 (0.213) Data 0.042 (0.050) Loss 2.0753 (2.3222) Prec@1 51.172 (46.935) Prec@5 78.906 (72.314)
Epoch: [95][310/5005] Time 0.214 (0.213) Data 0.053 (0.050) Loss 2.2086 (2.3196) Prec@1 48.047 (46.973) Prec@5 73.438 (72.400)
Epoch: [95][320/5005] Time 0.214 (0.213) Data 0.042 (0.050) Loss 2.4964 (2.3205) Prec@1 43.750 (47.010) Prec@5 70.703 (72.399)
Epoch: [95][330/5005] Time 0.221 (0.213) Data 0.047 (0.050) Loss 2.0517 (2.3194) Prec@1 49.219 (46.998) Prec@5 76.172 (72.425)
Epoch: [95][340/5005] Time 0.223 (0.214) Data 0.047 (0.050) Loss 2.4011 (2.3238) Prec@1 44.922 (46.948) Prec@5 71.875 (72.357)
Epoch: [95][350/5005] Time 0.221 (0.214) Data 0.051 (0.050) Loss 2.4454 (2.3228) Prec@1 42.578 (46.976) Prec@5 66.016 (72.355)
Epoch: [95][360/5005] Time 0.218 (0.214) Data 0.042 (0.050) Loss 2.3778 (2.3225) Prec@1 48.047 (46.979) Prec@5 71.875 (72.348)
Epoch: [95][370/5005] Time 0.217 (0.214) Data 0.047 (0.050) Loss 2.4267 (2.3209) Prec@1 44.531 (47.005) Prec@5 71.875 (72.361)
Epoch: [95][380/5005] Time 0.220 (0.214) Data 0.043 (0.049) Loss 2.4155 (2.3212) Prec@1 46.094 (46.974) Prec@5 70.703 (72.344)
Epoch: [95][390/5005] Time 0.215 (0.214) Data 0.043 (0.049) Loss 2.1259 (2.3202) Prec@1 49.609 (47.013) Prec@5 74.609 (72.365)
Epoch: [95][400/5005] Time 0.220 (0.214) Data 0.044 (0.049) Loss 2.1376 (2.3185) Prec@1 52.734 (47.048) Prec@5 73.438 (72.374)
Epoch: [95][410/5005] Time 0.211 (0.214) Data 0.042 (0.049) Loss 2.1866 (2.3173) Prec@1 46.875 (47.056) Prec@5 75.781 (72.401)
Epoch: [95][420/5005] Time 0.202 (0.214) Data 0.058 (0.049) Loss 2.1226 (2.3156) Prec@1 50.000 (47.088) Prec@5 73.828 (72.434)
Epoch: [95][430/5005] Time 0.212 (0.214) Data 0.041 (0.049) Loss 2.2038 (2.3152) Prec@1 52.734 (47.097) Prec@5 76.562 (72.444)
Epoch: [95][440/5005] Time 0.209 (0.214) Data 0.043 (0.049) Loss 2.1455 (2.3139) Prec@1 50.391 (47.104) Prec@5 74.219 (72.457)
Epoch: [95][450/5005] Time 0.220 (0.214) Data 0.044 (0.049) Loss 2.2100 (2.3148) Prec@1 46.094 (47.067) Prec@5 75.391 (72.451)
Epoch: [95][460/5005] Time 0.219 (0.214) Data 0.044 (0.049) Loss 2.3326 (2.3149) Prec@1 44.141 (47.053) Prec@5 71.094 (72.445)
Epoch: [95][470/5005] Time 0.221 (0.214) Data 0.045 (0.049) Loss 2.3656 (2.3165) Prec@1 48.438 (47.044) Prec@5 71.875 (72.415)
Epoch: [95][480/5005] Time 0.221 (0.215) Data 0.043 (0.049) Loss 2.3408 (2.3165) Prec@1 46.875 (47.030) Prec@5 70.703 (72.419)
Epoch: [95][490/5005] Time 0.208 (0.215) Data 0.045 (0.049) Loss 2.3391 (2.3171) Prec@1 46.875 (47.005) Prec@5 73.828 (72.417)
Epoch: [95][500/5005] Time 0.221 (0.215) Data 0.046 (0.049) Loss 2.4448 (2.3191) Prec@1 47.656 (46.994) Prec@5 70.312 (72.373)
Epoch: [95][510/5005] Time 0.216 (0.215) Data 0.045 (0.049) Loss 2.6992 (2.3192) Prec@1 39.844 (47.004) Prec@5 66.406 (72.381)
Epoch: [95][520/5005] Time 0.215 (0.215) Data 0.044 (0.049) Loss 2.3817 (2.3184) Prec@1 46.094 (47.013) Prec@5 69.531 (72.398)
Epoch: [95][530/5005] Time 0.224 (0.215) Data 0.042 (0.049) Loss 2.3098 (2.3180) Prec@1 49.609 (47.046) Prec@5 71.875 (72.397)
Epoch: [95][540/5005] Time 0.197 (0.215) Data 0.051 (0.049) Loss 2.3572 (2.3189) Prec@1 46.094 (47.019) Prec@5 71.094 (72.377)
Epoch: [95][550/5005] Time 0.217 (0.215) Data 0.043 (0.049) Loss 2.1769 (2.3182) Prec@1 47.266 (47.024) Prec@5 76.172 (72.387)
Epoch: [95][560/5005] Time 0.206 (0.215) Data 0.040 (0.048) Loss 2.3518 (2.3177) Prec@1 47.656 (47.045) Prec@5 70.312 (72.385)
Epoch: [95][570/5005] Time 0.219 (0.215) Data 0.043 (0.048) Loss 2.4432 (2.3187) Prec@1 46.484 (47.039) Prec@5 68.359 (72.359)
Epoch: [95][580/5005] Time 0.219 (0.215) Data 0.042 (0.048) Loss 2.3043 (2.3180) Prec@1 47.266 (47.046) Prec@5 76.562 (72.371)
Epoch: [95][590/5005] Time 0.209 (0.215) Data 0.046 (0.048) Loss 2.4479 (2.3181) Prec@1 44.141 (47.038) Prec@5 68.750 (72.348)
Epoch: [95][600/5005] Time 0.218 (0.215) Data 0.043 (0.048) Loss 2.2615 (2.3198) Prec@1 49.219 (47.021) Prec@5 75.000 (72.333)
Epoch: [95][610/5005] Time 0.207 (0.215) Data 0.058 (0.048) Loss 2.3171 (2.3196) Prec@1 47.656 (47.019) Prec@5 74.609 (72.340)
Epoch: [95][620/5005] Time 0.214 (0.215) Data 0.042 (0.048) Loss 2.2927 (2.3198) Prec@1 48.047 (47.042) Prec@5 73.047 (72.356)
Epoch: [95][630/5005] Time 0.212 (0.215) Data 0.043 (0.048) Loss 2.4407 (2.3191) Prec@1 44.531 (47.056) Prec@5 70.312 (72.376)
Epoch: [95][640/5005] Time 0.220 (0.215) Data 0.044 (0.048) Loss 2.1734 (2.3188) Prec@1 49.219 (47.061) Prec@5 74.219 (72.378)
Epoch: [95][650/5005] Time 0.218 (0.215) Data 0.044 (0.048) Loss 2.5024 (2.3195) Prec@1 43.750 (47.061) Prec@5 69.141 (72.369)
Epoch: [95][660/5005] Time 0.218 (0.215) Data 0.044 (0.048) Loss 2.5349 (2.3192) Prec@1 42.969 (47.065) Prec@5 71.875 (72.388)
Epoch: [95][670/5005] Time 0.209 (0.215) Data 0.044 (0.048) Loss 2.6661 (2.3192) Prec@1 41.797 (47.064) Prec@5 67.969 (72.393)
Epoch: [95][680/5005] Time 0.216 (0.215) Data 0.045 (0.048) Loss 2.2344 (2.3189) Prec@1 50.000 (47.065) Prec@5 73.438 (72.399)
Epoch: [95][690/5005] Time 0.221 (0.215) Data 0.043 (0.048) Loss 2.1493 (2.3181) Prec@1 49.219 (47.071) Prec@5 77.734 (72.414)
Epoch: [95][700/5005] Time 0.212 (0.215) Data 0.043 (0.048) Loss 2.3199 (2.3173) Prec@1 48.438 (47.075) Prec@5 73.047 (72.428)
Epoch: [95][710/5005] Time 0.217 (0.215) Data 0.042 (0.048) Loss 2.2392 (2.3173) Prec@1 47.656 (47.078) Prec@5 69.531 (72.423)
Epoch: [95][720/5005] Time 0.214 (0.215) Data 0.047 (0.048) Loss 2.1534 (2.3159) Prec@1 47.656 (47.106) Prec@5 77.344 (72.447)
Epoch: [95][730/5005] Time 0.207 (0.215) Data 0.044 (0.048) Loss 2.3818 (2.3163) Prec@1 45.703 (47.112) Prec@5 73.438 (72.440)
Epoch: [95][740/5005] Time 0.211 (0.215) Data 0.042 (0.048) Loss 2.3948 (2.3162) Prec@1 47.266 (47.124) Prec@5 67.578 (72.434)
Epoch: [95][750/5005] Time 0.209 (0.215) Data 0.058 (0.048) Loss 2.2331 (2.3157) Prec@1 48.828 (47.131) Prec@5 73.438 (72.442)
Epoch: [95][760/5005] Time 0.211 (0.215) Data 0.058 (0.048) Loss 2.3212 (2.3159) Prec@1 46.484 (47.120) Prec@5 74.219 (72.447)
Epoch: [95][770/5005] Time 0.202 (0.215) Data 0.053 (0.048) Loss 2.2770 (2.3146) Prec@1 49.219 (47.145) Prec@5 74.609 (72.469)
Epoch: [95][780/5005] Time 0.200 (0.214) Data 0.056 (0.048) Loss 2.3022 (2.3148) Prec@1 43.750 (47.123) Prec@5 71.094 (72.458)
Epoch: [95][790/5005] Time 0.216 (0.214) Data 0.043 (0.048) Loss 2.3341 (2.3145) Prec@1 47.656 (47.133) Prec@5 71.094 (72.470)
Epoch: [95][800/5005] Time 0.207 (0.214) Data 0.061 (0.048) Loss 2.2991 (2.3140) Prec@1 47.266 (47.128) Prec@5 71.094 (72.478)
Epoch: [95][810/5005] Time 0.210 (0.214) Data 0.045 (0.048) Loss 2.3311 (2.3142) Prec@1 44.922 (47.133) Prec@5 71.094 (72.481)
Epoch: [95][820/5005] Time 0.230 (0.214) Data 0.051 (0.048) Loss 2.3880 (2.3141) Prec@1 43.750 (47.135) Prec@5 70.312 (72.490)
Epoch: [95][830/5005] Time 0.208 (0.214) Data 0.046 (0.048) Loss 2.3535 (2.3143) Prec@1 47.656 (47.138) Prec@5 72.656 (72.488)
Epoch: [95][840/5005] Time 0.217 (0.214) Data 0.046 (0.048) Loss 2.2435 (2.3140) Prec@1 48.828 (47.142) Prec@5 72.656 (72.502)
Epoch: [95][850/5005] Time 0.216 (0.214) Data 0.043 (0.048) Loss 2.5127 (2.3135) Prec@1 44.141 (47.146) Prec@5 69.531 (72.511)
Epoch: [95][860/5005] Time 0.205 (0.214) Data 0.048 (0.048) Loss 2.2419 (2.3137) Prec@1 50.781 (47.144) Prec@5 73.047 (72.509)
Epoch: [95][870/5005] Time 0.214 (0.214) Data 0.044 (0.048) Loss 2.4040 (2.3128) Prec@1 38.672 (47.149) Prec@5 71.094 (72.520)
Epoch: [95][880/5005] Time 0.209 (0.214) Data 0.043 (0.048) Loss 2.2899 (2.3126) Prec@1 44.531 (47.147) Prec@5 71.875 (72.535)
Epoch: [95][890/5005] Time 0.214 (0.214) Data 0.044 (0.048) Loss 2.5659 (2.3122) Prec@1 42.188 (47.150) Prec@5 68.750 (72.545)
Epoch: [95][900/5005] Time 0.214 (0.214) Data 0.047 (0.048) Loss 2.1309 (2.3120) Prec@1 50.391 (47.149) Prec@5 74.609 (72.548)
Epoch: [95][910/5005] Time 0.214 (0.214) Data 0.047 (0.048) Loss 2.2664 (2.3120) Prec@1 42.969 (47.146) Prec@5 75.781 (72.548)
Epoch: [95][920/5005] Time 0.205 (0.214) Data 0.045 (0.048) Loss 2.3262 (2.3117) Prec@1 47.656 (47.160) Prec@5 72.656 (72.554)
Epoch: [95][930/5005] Time 0.217 (0.214) Data 0.043 (0.048) Loss 2.2999 (2.3114) Prec@1 50.000 (47.177) Prec@5 71.875 (72.554)
Epoch: [95][940/5005] Time 0.219 (0.214) Data 0.044 (0.048) Loss 2.0348 (2.3112) Prec@1 49.219 (47.183) Prec@5 81.250 (72.561)
Epoch: [95][950/5005] Time 0.210 (0.214) Data 0.045 (0.048) Loss 2.3716 (2.3118) Prec@1 47.266 (47.180) Prec@5 70.703 (72.551)
Epoch: [95][960/5005] Time 0.210 (0.214) Data 0.045 (0.048) Loss 2.5276 (2.3121) Prec@1 44.141 (47.185) Prec@5 71.484 (72.544)
Epoch: [95][970/5005] Time 0.200 (0.214) Data 0.050 (0.048) Loss 2.2361 (2.3122) Prec@1 49.609 (47.179) Prec@5 71.875 (72.536)
Epoch: [95][980/5005] Time 0.217 (0.214) Data 0.043 (0.048) Loss 2.3326 (2.3113) Prec@1 48.047 (47.191) Prec@5 70.703 (72.548)
Epoch: [95][990/5005] Time 0.195 (0.214) Data 0.047 (0.048) Loss 2.3809 (2.3122) Prec@1 47.656 (47.181) Prec@5 73.047 (72.528)
Epoch: [95][1000/5005] Time 0.208 (0.214) Data 0.051 (0.048) Loss 2.2776 (2.3120) Prec@1 49.609 (47.191) Prec@5 74.219 (72.526)
Epoch: [95][1010/5005] Time 0.213 (0.214) Data 0.047 (0.048) Loss 2.3657 (2.3113) Prec@1 48.047 (47.207) Prec@5 73.047 (72.543)
Epoch: [95][1020/5005] Time 0.198 (0.214) Data 0.051 (0.048) Loss 2.1081 (2.3117) Prec@1 53.516 (47.202) Prec@5 73.047 (72.530)
Epoch: [95][1030/5005] Time 0.214 (0.214) Data 0.042 (0.048) Loss 2.2623 (2.3114) Prec@1 47.266 (47.200) Prec@5 76.562 (72.534)
Epoch: [95][1040/5005] Time 0.204 (0.214) Data 0.051 (0.048) Loss 2.4768 (2.3116) Prec@1 45.703 (47.189) Prec@5 71.484 (72.530)
Epoch: [95][1050/5005] Time 0.205 (0.214) Data 0.057 (0.048) Loss 2.4264 (2.3117) Prec@1 46.875 (47.176) Prec@5 71.875 (72.533)
Epoch: [95][1060/5005] Time 0.203 (0.214) Data 0.063 (0.048) Loss 2.2986 (2.3116) Prec@1 48.828 (47.185) Prec@5 73.828 (72.534)
Epoch: [95][1070/5005] Time 0.203 (0.214) Data 0.044 (0.048) Loss 2.3155 (2.3117) Prec@1 47.266 (47.183) Prec@5 72.266 (72.525)
Epoch: [95][1080/5005] Time 0.204 (0.214) Data 0.058 (0.048) Loss 2.2992 (2.3117) Prec@1 44.531 (47.189) Prec@5 73.828 (72.528)
Epoch: [95][1090/5005] Time 0.209 (0.214) Data 0.052 (0.048) Loss 2.1718 (2.3114) Prec@1 50.391 (47.195) Prec@5 73.828 (72.534)
Epoch: [95][1100/5005] Time 0.203 (0.214) Data 0.059 (0.048) Loss 2.3983 (2.3111) Prec@1 48.438 (47.194) Prec@5 73.047 (72.552)
Epoch: [95][1110/5005] Time 0.215 (0.213) Data 0.044 (0.048) Loss 2.2422 (2.3109) Prec@1 41.016 (47.194) Prec@5 73.438 (72.564)
Epoch: [95][1120/5005] Time 0.219 (0.213) Data 0.043 (0.048) Loss 2.2449 (2.3101) Prec@1 49.609 (47.198) Prec@5 73.828 (72.580)
Epoch: [95][1130/5005] Time 0.202 (0.213) Data 0.050 (0.048) Loss 2.3607 (2.3105) Prec@1 42.969 (47.193) Prec@5 71.094 (72.574)
Epoch: [95][1140/5005] Time 0.211 (0.213) Data 0.046 (0.048) Loss 2.3464 (2.3098) Prec@1 46.094 (47.206) Prec@5 72.656 (72.583)
Epoch: [95][1150/5005] Time 0.210 (0.213) Data 0.048 (0.048) Loss 2.2065 (2.3095) Prec@1 49.609 (47.213) Prec@5 74.609 (72.591)
Epoch: [95][1160/5005] Time 0.211 (0.213) Data 0.043 (0.048) Loss 2.3060 (2.3095) Prec@1 47.656 (47.210) Prec@5 71.875 (72.585)
Epoch: [95][1170/5005] Time 0.215 (0.213) Data 0.043 (0.048) Loss 2.3505 (2.3093) Prec@1 45.703 (47.215) Prec@5 72.656 (72.590)
Epoch: [95][1180/5005] Time 0.210 (0.213) Data 0.049 (0.048) Loss 2.3816 (2.3090) Prec@1 45.703 (47.217) Prec@5 69.141 (72.598)
Epoch: [95][1190/5005] Time 0.201 (0.213) Data 0.045 (0.048) Loss 2.2134 (2.3082) Prec@1 48.047 (47.231) Prec@5 75.391 (72.610)
Epoch: [95][1200/5005] Time 0.205 (0.213) Data 0.051 (0.048) Loss 2.3866 (2.3081) Prec@1 43.359 (47.229) Prec@5 72.656 (72.613)
Epoch: [95][1210/5005] Time 0.207 (0.213) Data 0.054 (0.048) Loss 2.4082 (2.3087) Prec@1 43.359 (47.222) Prec@5 72.656 (72.608)
Epoch: [95][1220/5005] Time 0.201 (0.213) Data 0.042 (0.048) Loss 2.2692 (2.3086) Prec@1 42.969 (47.217) Prec@5 75.781 (72.619)
Epoch: [95][1230/5005] Time 0.212 (0.213) Data 0.042 (0.048) Loss 2.2591 (2.3084) Prec@1 48.047 (47.211) Prec@5 74.609 (72.619)
Epoch: [95][1240/5005] Time 0.212 (0.213) Data 0.058 (0.048) Loss 2.3259 (2.3085) Prec@1 44.531 (47.208) Prec@5 74.219 (72.615)
Epoch: [95][1250/5005] Time 0.210 (0.213) Data 0.046 (0.048) Loss 2.4835 (2.3090) Prec@1 43.359 (47.200) Prec@5 66.406 (72.604)
Epoch: [95][1260/5005] Time 0.211 (0.213) Data 0.044 (0.048) Loss 2.1138 (2.3085) Prec@1 51.562 (47.208) Prec@5 74.219 (72.616)
Epoch: [95][1270/5005] Time 0.207 (0.213) Data 0.045 (0.048) Loss 2.4566 (2.3089) Prec@1 46.484 (47.201) Prec@5 69.922 (72.605)
Epoch: [95][1280/5005] Time 0.217 (0.213) Data 0.049 (0.048) Loss 2.3261 (2.3094) Prec@1 51.172 (47.196) Prec@5 71.875 (72.601)
Epoch: [95][1290/5005] Time 0.213 (0.213) Data 0.047 (0.048) Loss 2.1090 (2.3091) Prec@1 53.516 (47.206) Prec@5 74.219 (72.600)
Epoch: [95][1300/5005] Time 0.213 (0.213) Data 0.044 (0.048) Loss 2.2593 (2.3090) Prec@1 50.781 (47.218) Prec@5 71.094 (72.596)
Epoch: [95][1310/5005] Time 0.212 (0.213) Data 0.052 (0.048) Loss 2.2485 (2.3089) Prec@1 49.219 (47.216) Prec@5 75.000 (72.602)
Epoch: [95][1320/5005] Time 0.212 (0.213) Data 0.046 (0.048) Loss 2.3746 (2.3085) Prec@1 44.922 (47.220) Prec@5 70.312 (72.610)
Epoch: [95][1330/5005] Time 0.199 (0.213) Data 0.058 (0.048) Loss 2.5312 (2.3090) Prec@1 44.141 (47.222) Prec@5 67.188 (72.607)
Epoch: [95][1340/5005] Time 0.204 (0.213) Data 0.057 (0.048) Loss 2.2570 (2.3089) Prec@1 48.828 (47.218) Prec@5 72.266 (72.612)
Epoch: [95][1350/5005] Time 0.214 (0.213) Data 0.043 (0.048) Loss 2.6456 (2.3094) Prec@1 45.312 (47.208) Prec@5 69.141 (72.602)
Epoch: [95][1360/5005] Time 0.211 (0.213) Data 0.047 (0.048) Loss 2.1322 (2.3092) Prec@1 50.391 (47.213) Prec@5 73.828 (72.603)
Epoch: [95][1370/5005] Time 0.210 (0.213) Data 0.052 (0.048) Loss 2.3161 (2.3087) Prec@1 46.094 (47.217) Prec@5 74.219 (72.612)
Epoch: [95][1380/5005] Time 0.211 (0.213) Data 0.044 (0.048) Loss 2.3664 (2.3084) Prec@1 50.391 (47.228) Prec@5 73.047 (72.621)
Epoch: [95][1390/5005] Time 0.209 (0.213) Data 0.046 (0.048) Loss 2.2498 (2.3082) Prec@1 48.828 (47.236) Prec@5 73.828 (72.624)
Epoch: [95][1400/5005] Time 0.211 (0.213) Data 0.044 (0.048) Loss 2.2684 (2.3076) Prec@1 44.531 (47.237) Prec@5 73.438 (72.632)
Epoch: [95][1410/5005] Time 0.197 (0.213) Data 0.049 (0.048) Loss 2.2373 (2.3073) Prec@1 51.172 (47.247) Prec@5 73.828 (72.639)
Epoch: [95][1420/5005] Time 0.207 (0.213) Data 0.053 (0.048) Loss 2.4587 (2.3074) Prec@1 44.922 (47.243) Prec@5 71.875 (72.640)
Epoch: [95][1430/5005] Time 0.199 (0.213) Data 0.042 (0.048) Loss 2.0211 (2.3071) Prec@1 47.656 (47.248) Prec@5 78.125 (72.645)
Epoch: [95][1440/5005] Time 0.201 (0.213) Data 0.042 (0.048) Loss 2.0498 (2.3069) Prec@1 52.734 (47.249) Prec@5 75.391 (72.644)
Epoch: [95][1450/5005] Time 0.207 (0.213) Data 0.045 (0.048) Loss 2.3789 (2.3069) Prec@1 44.922 (47.245) Prec@5 73.438 (72.644)
Epoch: [95][1460/5005] Time 0.195 (0.213) Data 0.043 (0.048) Loss 2.2435 (2.3067) Prec@1 44.922 (47.245) Prec@5 71.875 (72.645)
Epoch: [95][1470/5005] Time 0.203 (0.213) Data 0.049 (0.048) Loss 2.4863 (2.3070) Prec@1 47.266 (47.249) Prec@5 69.531 (72.634)
Epoch: [95][1480/5005] Time 0.212 (0.213) Data 0.045 (0.048) Loss 2.1118 (2.3070) Prec@1 50.781 (47.247) Prec@5 75.391 (72.631)
Epoch: [95][1490/5005] Time 0.212 (0.213) Data 0.042 (0.048) Loss 2.5774 (2.3067) Prec@1 42.578 (47.251) Prec@5 66.406 (72.638)
Epoch: [95][1500/5005] Time 0.213 (0.213) Data 0.042 (0.048) Loss 2.3044 (2.3068) Prec@1 50.391 (47.254) Prec@5 70.312 (72.638)
Epoch: [95][1510/5005] Time 0.212 (0.213) Data 0.043 (0.048) Loss 2.2311 (2.3066) Prec@1 47.656 (47.258) Prec@5 73.438 (72.640)
Epoch: [95][1520/5005] Time 0.206 (0.213) Data 0.042 (0.048) Loss 2.2535 (2.3061) Prec@1 49.219 (47.271) Prec@5 74.609 (72.644)
Epoch: [95][1530/5005] Time 0.213 (0.213) Data 0.044 (0.048) Loss 2.4652 (2.3065) Prec@1 43.359 (47.262) Prec@5 72.266 (72.636)
Epoch: [95][1540/5005] Time 0.208 (0.213) Data 0.043 (0.048) Loss 2.4200 (2.3068) Prec@1 42.188 (47.254) Prec@5 70.703 (72.627)
Epoch: [95][1550/5005] Time 0.206 (0.212) Data 0.045 (0.048) Loss 2.2689 (2.3064) Prec@1 48.438 (47.259) Prec@5 73.047 (72.626)
Epoch: [95][1560/5005] Time 0.196 (0.212) Data 0.059 (0.048) Loss 2.1095 (2.3063) Prec@1 51.172 (47.262) Prec@5 74.219 (72.628)
Epoch: [95][1570/5005] Time 0.209 (0.212) Data 0.044 (0.048) Loss 2.0870 (2.3057) Prec@1 49.219 (47.275) Prec@5 78.125 (72.641)
Epoch: [95][1580/5005] Time 0.207 (0.212) Data 0.050 (0.048) Loss 2.1585 (2.3058) Prec@1 51.562 (47.274) Prec@5 77.734 (72.640)
Epoch: [95][1590/5005] Time 0.206 (0.212) Data 0.058 (0.048) Loss 2.2247 (2.3061) Prec@1 50.000 (47.272) Prec@5 72.656 (72.633)
Epoch: [95][1600/5005] Time 0.202 (0.212) Data 0.054 (0.048) Loss 2.2584 (2.3059) Prec@1 53.125 (47.278) Prec@5 73.828 (72.641)
Epoch: [95][1610/5005] Time 0.209 (0.212) Data 0.042 (0.048) Loss 2.2772 (2.3059) Prec@1 48.047 (47.278) Prec@5 73.438 (72.641)
Epoch: [95][1620/5005] Time 0.200 (0.212) Data 0.045 (0.048) Loss 2.4558 (2.3056) Prec@1 46.875 (47.279) Prec@5 72.266 (72.646)
Epoch: [95][1630/5005] Time 0.207 (0.212) Data 0.047 (0.048) Loss 2.1262 (2.3056) Prec@1 50.781 (47.279) Prec@5 75.391 (72.646)
Epoch: [95][1640/5005] Time 0.212 (0.212) Data 0.043 (0.048) Loss 2.3070 (2.3059) Prec@1 50.781 (47.278) Prec@5 69.531 (72.636)
Epoch: [95][1650/5005] Time 0.215 (0.212) Data 0.044 (0.048) Loss 2.3701 (2.3058) Prec@1 48.828 (47.284) Prec@5 71.094 (72.637)
Epoch: [95][1660/5005] Time 0.213 (0.212) Data 0.048 (0.048) Loss 2.2393 (2.3052) Prec@1 49.609 (47.297) Prec@5 72.656 (72.644)
Epoch: [95][1670/5005] Time 0.209 (0.212) Data 0.050 (0.048) Loss 2.0636 (2.3051) Prec@1 52.344 (47.303) Prec@5 76.953 (72.645)
Epoch: [95][1680/5005] Time 0.203 (0.212) Data 0.043 (0.048) Loss 2.3811 (2.3054) Prec@1 48.438 (47.299) Prec@5 73.438 (72.641)
Epoch: [95][1690/5005] Time 0.209 (0.212) Data 0.050 (0.048) Loss 2.2348 (2.3052) Prec@1 45.312 (47.298) Prec@5 74.219 (72.643)
Epoch: [95][1700/5005] Time 0.215 (0.212) Data 0.043 (0.048) Loss 2.2273 (2.3047) Prec@1 48.828 (47.304) Prec@5 71.875 (72.644)
Epoch: [95][1710/5005] Time 0.209 (0.212) Data 0.044 (0.048) Loss 2.1956 (2.3044) Prec@1 50.000 (47.315) Prec@5 73.828 (72.648)
Epoch: [95][1720/5005] Time 0.212 (0.212) Data 0.044 (0.048) Loss 2.4275 (2.3044) Prec@1 44.922 (47.310) Prec@5 71.875 (72.645)
Epoch: [95][1730/5005] Time 0.218 (0.212) Data 0.047 (0.048) Loss 2.2689 (2.3045) Prec@1 44.922 (47.309) Prec@5 72.656 (72.646)
Epoch: [95][1740/5005] Time 0.210 (0.212) Data 0.044 (0.048) Loss 2.4378 (2.3042) Prec@1 44.531 (47.316) Prec@5 68.359 (72.647)
Epoch: [95][1750/5005] Time 0.204 (0.212) Data 0.045 (0.048) Loss 2.3482 (2.3040) Prec@1 42.969 (47.322) Prec@5 71.484 (72.652)
Epoch: [95][1760/5005] Time 0.212 (0.212) Data 0.044 (0.048) Loss 2.0412 (2.3037) Prec@1 49.609 (47.326) Prec@5 78.125 (72.658)
Epoch: [95][1770/5005] Time 0.211 (0.212) Data 0.044 (0.048) Loss 2.4399 (2.3036) Prec@1 41.797 (47.326) Prec@5 75.000 (72.663)
Epoch: [95][1780/5005] Time 0.216 (0.212) Data 0.045 (0.048) Loss 2.2520 (2.3033) Prec@1 45.703 (47.328) Prec@5 74.219 (72.667)
Epoch: [95][1790/5005] Time 0.197 (0.212) Data 0.055 (0.048) Loss 2.1972 (2.3031) Prec@1 48.828 (47.331) Prec@5 71.875 (72.666)
Epoch: [95][1800/5005] Time 0.199 (0.212) Data 0.048 (0.048) Loss 2.1917 (2.3029) Prec@1 51.172 (47.339) Prec@5 77.344 (72.675)
Epoch: [95][1810/5005] Time 0.210 (0.212) Data 0.053 (0.048) Loss 2.1970 (2.3024) Prec@1 46.094 (47.344) Prec@5 76.172 (72.686)
Epoch: [95][1820/5005] Time 0.203 (0.212) Data 0.057 (0.048) Loss 2.2112 (2.3022) Prec@1 50.391 (47.348) Prec@5 76.172 (72.698)
Epoch: [95][1830/5005] Time 0.215 (0.212) Data 0.046 (0.048) Loss 2.1705 (2.3016) Prec@1 51.562 (47.361) Prec@5 74.609 (72.708)
Epoch: [95][1840/5005] Time 0.208 (0.212) Data 0.046 (0.048) Loss 2.4198 (2.3015) Prec@1 43.750 (47.360) Prec@5 72.656 (72.711)
Epoch: [95][1850/5005] Time 0.209 (0.212) Data 0.052 (0.048) Loss 2.2533 (2.3013) Prec@1 51.172 (47.359) Prec@5 74.609 (72.713)
Epoch: [95][1860/5005] Time 0.208 (0.212) Data 0.070 (0.048) Loss 2.2472 (2.3013) Prec@1 48.828 (47.355) Prec@5 75.000 (72.714)
Epoch: [95][1870/5005] Time 0.206 (0.212) Data 0.043 (0.048) Loss 2.5327 (2.3016) Prec@1 44.141 (47.354) Prec@5 68.750 (72.707)
Epoch: [95][1880/5005] Time 0.209 (0.212) Data 0.041 (0.048) Loss 2.4437 (2.3019) Prec@1 44.531 (47.353) Prec@5 68.750 (72.703)
Epoch: [95][1890/5005] Time 0.210 (0.212) Data 0.044 (0.048) Loss 2.3384 (2.3016) Prec@1 47.656 (47.362) Prec@5 72.656 (72.709)
Epoch: [95][1900/5005] Time 0.201 (0.212) Data 0.050 (0.048) Loss 2.3506 (2.3022) Prec@1 44.141 (47.350) Prec@5 73.828 (72.704)
Epoch: [95][1910/5005] Time 0.200 (0.212) Data 0.049 (0.048) Loss 2.2700 (2.3020) Prec@1 48.438 (47.352) Prec@5 74.609 (72.704)
Epoch: [95][1920/5005] Time 0.204 (0.212) Data 0.046 (0.048) Loss 2.1326 (2.3017) Prec@1 48.438 (47.354) Prec@5 76.953 (72.710)
Epoch: [95][1930/5005] Time 0.215 (0.212) Data 0.047 (0.048) Loss 2.1483 (2.3014) Prec@1 53.516 (47.363) Prec@5 74.609 (72.716)
Epoch: [95][1940/5005] Time 0.207 (0.212) Data 0.041 (0.048) Loss 2.1818 (2.3010) Prec@1 49.609 (47.363) Prec@5 72.266 (72.723)
Epoch: [95][1950/5005] Time 0.220 (0.212) Data 0.051 (0.048) Loss 2.2392 (2.3009) Prec@1 47.656 (47.370) Prec@5 76.953 (72.726)
Epoch: [95][1960/5005] Time 0.203 (0.212) Data 0.050 (0.048) Loss 2.2539 (2.3007) Prec@1 43.359 (47.375) Prec@5 73.828 (72.731)
Epoch: [95][1970/5005] Time 0.204 (0.212) Data 0.055 (0.048) Loss 2.3928 (2.3009) Prec@1 46.875 (47.369) Prec@5 71.484 (72.728)
Epoch: [95][1980/5005] Time 0.203 (0.212) Data 0.056 (0.048) Loss 2.0870 (2.3007) Prec@1 53.125 (47.372) Prec@5 75.781 (72.732)
Epoch: [95][1990/5005] Time 0.210 (0.212) Data 0.041 (0.048) Loss 2.0683 (2.3005) Prec@1 50.000 (47.373) Prec@5 75.000 (72.729)
Epoch: [95][2000/5005] Time 0.196 (0.212) Data 0.058 (0.048) Loss 2.1851 (2.3006) Prec@1 52.344 (47.374) Prec@5 74.609 (72.729)
Epoch: [95][2010/5005] Time 0.340 (0.212) Data 0.058 (0.048) Loss 2.1752 (2.3007) Prec@1 47.266 (47.368) Prec@5 72.656 (72.726)
Epoch: [95][2020/5005] Time 0.204 (0.212) Data 0.055 (0.048) Loss 2.2777 (2.3007) Prec@1 47.266 (47.368) Prec@5 73.828 (72.727)
Epoch: [95][2030/5005] Time 0.209 (0.211) Data 0.042 (0.048) Loss 2.3696 (2.3010) Prec@1 45.312 (47.366) Prec@5 72.656 (72.721)
Epoch: [95][2040/5005] Time 0.197 (0.211) Data 0.048 (0.048) Loss 2.0851 (2.3007) Prec@1 52.734 (47.370) Prec@5 77.344 (72.730)
Epoch: [95][2050/5005] Time 0.202 (0.211) Data 0.045 (0.048) Loss 2.2888 (2.3004) Prec@1 49.609 (47.377) Prec@5 75.000 (72.736)
Epoch: [95][2060/5005] Time 0.203 (0.211) Data 0.043 (0.048) Loss 2.2016 (2.3006) Prec@1 51.953 (47.369) Prec@5 71.484 (72.734)
Epoch: [95][2070/5005] Time 0.204 (0.211) Data 0.039 (0.048) Loss 2.4967 (2.3008) Prec@1 43.359 (47.365) Prec@5 70.703 (72.728)
Epoch: [95][2080/5005] Time 0.207 (0.211) Data 0.045 (0.048) Loss 2.3282 (2.3008) Prec@1 47.656 (47.364) Prec@5 73.828 (72.727)
Epoch: [95][2090/5005] Time 0.212 (0.211) Data 0.041 (0.048) Loss 2.1595 (2.3006) Prec@1 46.875 (47.362) Prec@5 77.734 (72.734)
Epoch: [95][2100/5005] Time 0.213 (0.211) Data 0.045 (0.048) Loss 2.3399 (2.3006) Prec@1 46.484 (47.363) Prec@5 71.484 (72.734)
Epoch: [95][2110/5005] Time 0.213 (0.211) Data 0.044 (0.048) Loss 2.0851 (2.3005) Prec@1 53.516 (47.367) Prec@5 76.953 (72.737)
Epoch: [95][2120/5005] Time 0.206 (0.211) Data 0.045 (0.048) Loss 2.3480 (2.3004) Prec@1 45.312 (47.367) Prec@5 71.094 (72.735)
Epoch: [95][2130/5005] Time 0.206 (0.211) Data 0.057 (0.048) Loss 2.3250 (2.3003) Prec@1 50.000 (47.373) Prec@5 70.703 (72.742)
Epoch: [95][2140/5005] Time 0.208 (0.211) Data 0.044 (0.048) Loss 2.2236 (2.3002) Prec@1 51.953 (47.376) Prec@5 73.828 (72.741)
Epoch: [95][2150/5005] Time 0.206 (0.211) Data 0.041 (0.048) Loss 2.0695 (2.3002) Prec@1 49.219 (47.373) Prec@5 74.609 (72.735)
Epoch: [95][2160/5005] Time 0.211 (0.211) Data 0.042 (0.048) Loss 2.1826 (2.3002) Prec@1 47.656 (47.373) Prec@5 74.219 (72.738)
Epoch: [95][2170/5005] Time 0.205 (0.211) Data 0.040 (0.048) Loss 2.3198 (2.2999) Prec@1 46.484 (47.381) Prec@5 72.656 (72.743)
Epoch: [95][2180/5005] Time 0.205 (0.211) Data 0.043 (0.048) Loss 2.3293 (2.3000) Prec@1 46.094 (47.378) Prec@5 70.312 (72.736)
Epoch: [95][2190/5005] Time 0.207 (0.211) Data 0.041 (0.048) Loss 2.5372 (2.3000) Prec@1 44.531 (47.381) Prec@5 68.359 (72.735)
Epoch: [95][2200/5005] Time 0.204 (0.211) Data 0.042 (0.048) Loss 2.3537 (2.3001) Prec@1 43.359 (47.376) Prec@5 71.484 (72.736)
Epoch: [95][2210/5005] Time 0.223 (0.211) Data 0.048 (0.048) Loss 2.3182 (2.3004) Prec@1 46.094 (47.371) Prec@5 71.094 (72.730)
Epoch: [95][2220/5005] Time 0.211 (0.211) Data 0.043 (0.048) Loss 2.3907 (2.3002) Prec@1 48.438 (47.373) Prec@5 69.531 (72.731)
Epoch: [95][2230/5005] Time 0.203 (0.211) Data 0.061 (0.048) Loss 2.2068 (2.3001) Prec@1 50.000 (47.376) Prec@5 73.828 (72.732)
Epoch: [95][2240/5005] Time 0.203 (0.211) Data 0.052 (0.048) Loss 2.3915 (2.3002) Prec@1 44.531 (47.374) Prec@5 75.781 (72.734)
Epoch: [95][2250/5005] Time 0.195 (0.211) Data 0.067 (0.048) Loss 2.1745 (2.3003) Prec@1 48.047 (47.371) Prec@5 74.609 (72.733)
Epoch: [95][2260/5005] Time 0.205 (0.211) Data 0.056 (0.048) Loss 2.2449 (2.3001) Prec@1 44.141 (47.375) Prec@5 73.438 (72.735)
Epoch: [95][2270/5005] Time 0.197 (0.211) Data 0.048 (0.048) Loss 2.4705 (2.2999) Prec@1 42.578 (47.382) Prec@5 69.922 (72.738)
Epoch: [95][2280/5005] Time 0.204 (0.211) Data 0.046 (0.048) Loss 2.4780 (2.3000) Prec@1 44.141 (47.381) Prec@5 72.266 (72.737)
Epoch: [95][2290/5005] Time 0.206 (0.211) Data 0.047 (0.048) Loss 2.4032 (2.3001) Prec@1 46.875 (47.380) Prec@5 73.438 (72.735)
Epoch: [95][2300/5005] Time 0.216 (0.211) Data 0.045 (0.048) Loss 2.3737 (2.3000) Prec@1 47.266 (47.383) Prec@5 69.922 (72.736)
Epoch: [95][2310/5005] Time 0.213 (0.211) Data 0.044 (0.048) Loss 2.1922 (2.3000) Prec@1 51.953 (47.388) Prec@5 73.047 (72.735)
Epoch: [95][2320/5005] Time 0.199 (0.211) Data 0.051 (0.048) Loss 2.4272 (2.3000) Prec@1 44.531 (47.387) Prec@5 72.266 (72.733)
Epoch: [95][2330/5005] Time 0.207 (0.211) Data 0.049 (0.048) Loss 2.2639 (2.3000) Prec@1 49.609 (47.386) Prec@5 75.000 (72.734)
Epoch: [95][2340/5005] Time 0.202 (0.211) Data 0.046 (0.048) Loss 2.2281 (2.2998) Prec@1 47.266 (47.389) Prec@5 72.656 (72.739)
Epoch: [95][2350/5005] Time 0.211 (0.211) Data 0.049 (0.048) Loss 2.2087 (2.2997) Prec@1 50.781 (47.395) Prec@5 73.438 (72.741)
Epoch: [95][2360/5005] Time 0.209 (0.211) Data 0.042 (0.048) Loss 2.3470 (2.2998) Prec@1 44.141 (47.387) Prec@5 71.875 (72.741)
Epoch: [95][2370/5005] Time 0.200 (0.211) Data 0.061 (0.048) Loss 2.3147 (2.3000) Prec@1 44.922 (47.386) Prec@5 71.484 (72.737)
Epoch: [95][2380/5005] Time 0.210 (0.211) Data 0.046 (0.048) Loss 2.3448 (2.2997) Prec@1 48.047 (47.392) Prec@5 74.609 (72.745)
Epoch: [95][2390/5005] Time 0.214 (0.211) Data 0.045 (0.048) Loss 2.4820 (2.2996) Prec@1 47.656 (47.394) Prec@5 67.969 (72.743)
Epoch: [95][2400/5005] Time 0.200 (0.211) Data 0.044 (0.048) Loss 2.3231 (2.2997) Prec@1 44.922 (47.393) Prec@5 71.875 (72.743)
Epoch: [95][2410/5005] Time 0.214 (0.211) Data 0.044 (0.048) Loss 2.5666 (2.2998) Prec@1 41.016 (47.391) Prec@5 67.578 (72.740)
Epoch: [95][2420/5005] Time 0.213 (0.211) Data 0.044 (0.048) Loss 2.2987 (2.2995) Prec@1 49.609 (47.400) Prec@5 71.484 (72.743)
Epoch: [95][2430/5005] Time 0.214 (0.211) Data 0.044 (0.048) Loss 2.1033 (2.2996) Prec@1 50.000 (47.397) Prec@5 73.828 (72.741)
Epoch: [95][2440/5005] Time 0.210 (0.211) Data 0.044 (0.048) Loss 2.0180 (2.2997) Prec@1 54.688 (47.401) Prec@5 76.562 (72.740)
Epoch: [95][2450/5005] Time 0.203 (0.211) Data 0.047 (0.048) Loss 2.1853 (2.2996) Prec@1 49.609 (47.403) Prec@5 74.219 (72.742)
Epoch: [95][2460/5005] Time 0.206 (0.211) Data 0.064 (0.048) Loss 2.2204 (2.2995) Prec@1 43.359 (47.401) Prec@5 75.781 (72.744)
Epoch: [95][2470/5005] Time 0.213 (0.211) Data 0.044 (0.048) Loss 2.1334 (2.2992) Prec@1 48.047 (47.406) Prec@5 74.609 (72.746)
Epoch: [95][2480/5005] Time 0.193 (0.211) Data 0.056 (0.048) Loss 2.4760 (2.2994) Prec@1 42.969 (47.402) Prec@5 69.922 (72.742)
Epoch: [95][2490/5005] Time 0.205 (0.211) Data 0.057 (0.048) Loss 2.1200 (2.2994) Prec@1 50.781 (47.405) Prec@5 73.047 (72.745)
Epoch: [95][2500/5005] Time 0.212 (0.211) Data 0.045 (0.048) Loss 2.3398 (2.2992) Prec@1 46.094 (47.407) Prec@5 70.703 (72.748)
Epoch: [95][2510/5005] Time 0.205 (0.211) Data 0.047 (0.048) Loss 2.3495 (2.2993) Prec@1 46.094 (47.405) Prec@5 74.609 (72.749)
Epoch: [95][2520/5005] Time 0.214 (0.211) Data 0.042 (0.048) Loss 2.2235 (2.2993) Prec@1 51.172 (47.409) Prec@5 73.047 (72.748)
Epoch: [95][2530/5005] Time 0.206 (0.211) Data 0.043 (0.048) Loss 2.3790 (2.2995) Prec@1 46.094 (47.405) Prec@5 70.312 (72.744)
Epoch: [95][2540/5005] Time 0.214 (0.211) Data 0.043 (0.048) Loss 2.2302 (2.2994) Prec@1 46.094 (47.406) Prec@5 75.000 (72.748)
Epoch: [95][2550/5005] Time 0.213 (0.211) Data 0.043 (0.048) Loss 2.2743 (2.2994) Prec@1 48.828 (47.406) Prec@5 71.875 (72.750)
Epoch: [95][2560/5005] Time 0.208 (0.211) Data 0.045 (0.048) Loss 2.5117 (2.2995) Prec@1 39.453 (47.406) Prec@5 73.438 (72.749)
Epoch: [95][2570/5005] Time 0.208 (0.211) Data 0.050 (0.048) Loss 2.3596 (2.2996) Prec@1 42.969 (47.403) Prec@5 72.656 (72.749)
Epoch: [95][2580/5005] Time 0.205 (0.211) Data 0.043 (0.048) Loss 2.4277 (2.3000) Prec@1 45.312 (47.396) Prec@5 69.141 (72.737)
Epoch: [95][2590/5005] Time 0.206 (0.211) Data 0.061 (0.048) Loss 2.4343 (2.3000) Prec@1 46.094 (47.400) Prec@5 69.531 (72.735)
Epoch: [95][2600/5005] Time 0.198 (0.211) Data 0.045 (0.048) Loss 2.4877 (2.3001) Prec@1 41.797 (47.396) Prec@5 67.578 (72.731)
Epoch: [95][2610/5005] Time 0.209 (0.211) Data 0.052 (0.048) Loss 2.5281 (2.2999) Prec@1 46.875 (47.402) Prec@5 69.922 (72.736)
Epoch: [95][2620/5005] Time 0.207 (0.211) Data 0.045 (0.048) Loss 2.2307 (2.2999) Prec@1 46.875 (47.405) Prec@5 72.266 (72.736)
Epoch: [95][2630/5005] Time 0.201 (0.211) Data 0.043 (0.048) Loss 2.6680 (2.3004) Prec@1 42.969 (47.400) Prec@5 64.844 (72.725)
Epoch: [95][2640/5005] Time 0.213 (0.211) Data 0.047 (0.048) Loss 2.4343 (2.3006) Prec@1 43.750 (47.399) Prec@5 69.141 (72.722)
Epoch: [95][2650/5005] Time 0.200 (0.211) Data 0.047 (0.048) Loss 2.4450 (2.3006) Prec@1 44.922 (47.398) Prec@5 69.531 (72.723)
Epoch: [95][2660/5005] Time 0.204 (0.211) Data 0.042 (0.048) Loss 2.2215 (2.3006) Prec@1 50.391 (47.398) Prec@5 77.344 (72.725)
Epoch: [95][2670/5005] Time 0.210 (0.211) Data 0.043 (0.048) Loss 1.9764 (2.3002) Prec@1 49.219 (47.408) Prec@5 75.781 (72.725)
Epoch: [95][2680/5005] Time 0.218 (0.211) Data 0.042 (0.048) Loss 2.2392 (2.3003) Prec@1 49.609 (47.407) Prec@5 72.656 (72.724)
Epoch: [95][2690/5005] Time 0.209 (0.211) Data 0.052 (0.048) Loss 2.1232 (2.3002) Prec@1 53.516 (47.410) Prec@5 79.297 (72.725)
Epoch: [95][2700/5005] Time 0.212 (0.211) Data 0.043 (0.048) Loss 2.2501 (2.3003) Prec@1 46.484 (47.405) Prec@5 75.781 (72.729)
Epoch: [95][2710/5005] Time 0.193 (0.211) Data 0.044 (0.048) Loss 2.1491 (2.3006) Prec@1 50.000 (47.400) Prec@5 76.172 (72.723)
Epoch: [95][2720/5005] Time 0.206 (0.211) Data 0.041 (0.048) Loss 2.2199 (2.3007) Prec@1 48.828 (47.397) Prec@5 75.781 (72.721)
Epoch: [95][2730/5005] Time 0.211 (0.211) Data 0.043 (0.048) Loss 2.2600 (2.3003) Prec@1 48.828 (47.400) Prec@5 73.438 (72.727)
Epoch: [95][2740/5005] Time 0.209 (0.211) Data 0.042 (0.048) Loss 2.1913 (2.3003) Prec@1 48.047 (47.402) Prec@5 75.000 (72.727)
Epoch: [95][2750/5005] Time 0.210 (0.211) Data 0.040 (0.048) Loss 2.1766 (2.3001) Prec@1 49.219 (47.407) Prec@5 73.438 (72.730)
Epoch: [95][2760/5005] Time 0.206 (0.211) Data 0.049 (0.048) Loss 2.2717 (2.3001) Prec@1 49.219 (47.409) Prec@5 73.438 (72.732)
Epoch: [95][2770/5005] Time 0.202 (0.211) Data 0.041 (0.048) Loss 2.1606 (2.3001) Prec@1 48.828 (47.412) Prec@5 73.047 (72.730)
Epoch: [95][2780/5005] Time 0.206 (0.211) Data 0.043 (0.048) Loss 2.5021 (2.3002) Prec@1 42.578 (47.414) Prec@5 70.312 (72.727)
Epoch: [95][2790/5005] Time 0.215 (0.211) Data 0.044 (0.048) Loss 2.4708 (2.3003) Prec@1 42.578 (47.411) Prec@5 68.750 (72.723)
Epoch: [95][2800/5005] Time 0.211 (0.211) Data 0.043 (0.048) Loss 2.0882 (2.3002) Prec@1 53.125 (47.414) Prec@5 74.219 (72.722)
Epoch: [95][2810/5005] Time 0.215 (0.211) Data 0.046 (0.048) Loss 2.4193 (2.3001) Prec@1 44.141 (47.413) Prec@5 71.875 (72.724)
Epoch: [95][2820/5005] Time 0.212 (0.211) Data 0.044 (0.048) Loss 1.9682 (2.2999) Prec@1 51.172 (47.417) Prec@5 79.297 (72.730)
Epoch: [95][2830/5005] Time 0.210 (0.211) Data 0.043 (0.048) Loss 2.5751 (2.3000) Prec@1 41.797 (47.415) Prec@5 68.359 (72.727)
Epoch: [95][2840/5005] Time 0.207 (0.211) Data 0.040 (0.048) Loss 2.2648 (2.3000) Prec@1 49.219 (47.415) Prec@5 75.391 (72.728)
Epoch: [95][2850/5005] Time 0.220 (0.211) Data 0.042 (0.048) Loss 2.2993 (2.2999) Prec@1 50.000 (47.419) Prec@5 72.656 (72.729)
Epoch: [95][2860/5005] Time 0.201 (0.211) Data 0.048 (0.048) Loss 2.3333 (2.3000) Prec@1 47.266 (47.421) Prec@5 71.484 (72.732)
Epoch: [95][2870/5005] Time 0.201 (0.211) Data 0.046 (0.048) Loss 2.1623 (2.2997) Prec@1 50.000 (47.425) Prec@5 74.219 (72.738)
Epoch: [95][2880/5005] Time 0.199 (0.211) Data 0.057 (0.048) Loss 2.3943 (2.2996) Prec@1 46.094 (47.427) Prec@5 73.828 (72.738)
Epoch: [95][2890/5005] Time 0.200 (0.211) Data 0.045 (0.048) Loss 2.2924 (2.2995) Prec@1 42.578 (47.426) Prec@5 73.438 (72.742)
Epoch: [95][2900/5005] Time 0.211 (0.211) Data 0.041 (0.048) Loss 2.0803 (2.2993) Prec@1 52.734 (47.430) Prec@5 78.125 (72.746)
Epoch: [95][2910/5005] Time 0.199 (0.211) Data 0.044 (0.048) Loss 2.2504 (2.2994) Prec@1 47.656 (47.429) Prec@5 72.266 (72.747)
Epoch: [95][2920/5005] Time 0.195 (0.210) Data 0.043 (0.048) Loss 2.3467 (2.2993) Prec@1 44.531 (47.429) Prec@5 71.484 (72.749)
Epoch: [95][2930/5005] Time 0.206 (0.210) Data 0.046 (0.048) Loss 2.6074 (2.2993) Prec@1 43.359 (47.426) Prec@5 64.453 (72.746)
Epoch: [95][2940/5005] Time 0.203 (0.210) Data 0.049 (0.048) Loss 2.3052 (2.2992) Prec@1 48.828 (47.429) Prec@5 74.219 (72.749)
Epoch: [95][2950/5005] Time 0.203 (0.210) Data 0.038 (0.048) Loss 2.5379 (2.2991) Prec@1 41.016 (47.431) Prec@5 68.359 (72.752)
Epoch: [95][2960/5005] Time 0.206 (0.210) Data 0.043 (0.048) Loss 2.2729 (2.2990) Prec@1 49.609 (47.436) Prec@5 73.047 (72.752)
Epoch: [95][2970/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.4395 (2.2989) Prec@1 44.922 (47.439) Prec@5 69.922 (72.755)
Epoch: [95][2980/5005] Time 0.214 (0.210) Data 0.042 (0.048) Loss 2.4083 (2.2991) Prec@1 42.969 (47.438) Prec@5 70.312 (72.751)
Epoch: [95][2990/5005] Time 0.207 (0.210) Data 0.042 (0.048) Loss 2.1692 (2.2990) Prec@1 52.344 (47.440) Prec@5 73.047 (72.749)
Epoch: [95][3000/5005] Time 0.194 (0.210) Data 0.040 (0.048) Loss 2.4097 (2.2990) Prec@1 45.312 (47.440) Prec@5 69.141 (72.745)
Epoch: [95][3010/5005] Time 0.199 (0.210) Data 0.044 (0.048) Loss 2.3170 (2.2991) Prec@1 44.531 (47.437) Prec@5 69.531 (72.746)
Epoch: [95][3020/5005] Time 0.206 (0.210) Data 0.050 (0.048) Loss 2.3110 (2.2993) Prec@1 49.219 (47.436) Prec@5 74.219 (72.744)
Epoch: [95][3030/5005] Time 0.199 (0.210) Data 0.042 (0.048) Loss 2.2945 (2.2994) Prec@1 48.828 (47.437) Prec@5 71.875 (72.741)
Epoch: [95][3040/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.1227 (2.2992) Prec@1 50.391 (47.442) Prec@5 76.562 (72.742)
Epoch: [95][3050/5005] Time 0.211 (0.210) Data 0.046 (0.048) Loss 2.3271 (2.2992) Prec@1 44.531 (47.437) Prec@5 69.922 (72.742)
Epoch: [95][3060/5005] Time 0.205 (0.210) Data 0.041 (0.048) Loss 2.1374 (2.2990) Prec@1 53.125 (47.438) Prec@5 75.781 (72.745)
Epoch: [95][3070/5005] Time 0.203 (0.210) Data 0.043 (0.048) Loss 2.1454 (2.2990) Prec@1 49.609 (47.439) Prec@5 72.266 (72.741)
Epoch: [95][3080/5005] Time 0.204 (0.210) Data 0.039 (0.048) Loss 2.1334 (2.2991) Prec@1 49.609 (47.436) Prec@5 76.172 (72.740)
Epoch: [95][3090/5005] Time 0.209 (0.210) Data 0.044 (0.048) Loss 2.4107 (2.2991) Prec@1 42.969 (47.433) Prec@5 69.922 (72.742)
Epoch: [95][3100/5005] Time 0.208 (0.210) Data 0.042 (0.048) Loss 2.3197 (2.2991) Prec@1 47.656 (47.432) Prec@5 71.875 (72.742)
Epoch: [95][3110/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.1128 (2.2989) Prec@1 52.344 (47.438) Prec@5 76.172 (72.746)
Epoch: [95][3120/5005] Time 0.209 (0.210) Data 0.041 (0.048) Loss 2.2224 (2.2988) Prec@1 49.609 (47.437) Prec@5 73.828 (72.749)
Epoch: [95][3130/5005] Time 0.208 (0.210) Data 0.040 (0.048) Loss 2.4339 (2.2987) Prec@1 46.484 (47.439) Prec@5 70.312 (72.752)
Epoch: [95][3140/5005] Time 0.205 (0.210) Data 0.042 (0.047) Loss 1.9731 (2.2985) Prec@1 53.516 (47.445) Prec@5 75.781 (72.753)
Epoch: [95][3150/5005] Time 0.210 (0.210) Data 0.043 (0.047) Loss 2.4019 (2.2985) Prec@1 47.266 (47.449) Prec@5 69.531 (72.753)
Epoch: [95][3160/5005] Time 0.214 (0.210) Data 0.043 (0.047) Loss 2.1395 (2.2985) Prec@1 51.172 (47.450) Prec@5 76.172 (72.754)
Epoch: [95][3170/5005] Time 0.209 (0.210) Data 0.043 (0.047) Loss 2.3787 (2.2986) Prec@1 45.312 (47.447) Prec@5 71.094 (72.751)
Epoch: [95][3180/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.1535 (2.2986) Prec@1 50.781 (47.447) Prec@5 76.953 (72.753)
Epoch: [95][3190/5005] Time 0.205 (0.210) Data 0.050 (0.047) Loss 2.2664 (2.2986) Prec@1 49.609 (47.445) Prec@5 73.047 (72.754)
Epoch: [95][3200/5005] Time 0.203 (0.210) Data 0.042 (0.047) Loss 2.3618 (2.2986) Prec@1 44.922 (47.450) Prec@5 72.266 (72.756)
Epoch: [95][3210/5005] Time 0.213 (0.210) Data 0.041 (0.047) Loss 2.3444 (2.2985) Prec@1 49.219 (47.452) Prec@5 71.484 (72.759)
Epoch: [95][3220/5005] Time 0.203 (0.210) Data 0.041 (0.047) Loss 2.4956 (2.2986) Prec@1 44.922 (47.452) Prec@5 69.531 (72.758)
Epoch: [95][3230/5005] Time 0.204 (0.210) Data 0.039 (0.047) Loss 2.1968 (2.2983) Prec@1 50.391 (47.459) Prec@5 71.875 (72.763)
Epoch: [95][3240/5005] Time 0.200 (0.210) Data 0.046 (0.047) Loss 2.5638 (2.2987) Prec@1 41.406 (47.453) Prec@5 68.359 (72.757)
Epoch: [95][3250/5005] Time 0.201 (0.210) Data 0.047 (0.047) Loss 2.2344 (2.2988) Prec@1 47.266 (47.454) Prec@5 74.609 (72.755)
Epoch: [95][3260/5005] Time 0.216 (0.210) Data 0.044 (0.047) Loss 2.2051 (2.2988) Prec@1 47.266 (47.452) Prec@5 75.391 (72.754)
Epoch: [95][3270/5005] Time 0.200 (0.210) Data 0.047 (0.047) Loss 2.3557 (2.2987) Prec@1 44.922 (47.452) Prec@5 71.875 (72.757)
Epoch: [95][3280/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.1857 (2.2988) Prec@1 49.219 (47.448) Prec@5 75.000 (72.754)
Epoch: [95][3290/5005] Time 0.207 (0.210) Data 0.045 (0.047) Loss 2.2807 (2.2986) Prec@1 47.266 (47.452) Prec@5 73.828 (72.754)
Epoch: [95][3300/5005] Time 0.213 (0.210) Data 0.044 (0.047) Loss 2.2080 (2.2986) Prec@1 49.219 (47.455) Prec@5 74.219 (72.752)
Epoch: [95][3310/5005] Time 0.209 (0.210) Data 0.045 (0.047) Loss 2.2333 (2.2985) Prec@1 50.391 (47.458) Prec@5 73.438 (72.753)
Epoch: [95][3320/5005] Time 0.216 (0.210) Data 0.044 (0.047) Loss 2.2765 (2.2986) Prec@1 49.609 (47.455) Prec@5 71.094 (72.751)
Epoch: [95][3330/5005] Time 0.213 (0.210) Data 0.045 (0.047) Loss 2.3433 (2.2987) Prec@1 44.922 (47.453) Prec@5 70.703 (72.749)
Epoch: [95][3340/5005] Time 0.201 (0.210) Data 0.053 (0.047) Loss 2.4171 (2.2988) Prec@1 44.531 (47.451) Prec@5 73.047 (72.748)
Epoch: [95][3350/5005] Time 0.206 (0.210) Data 0.041 (0.047) Loss 2.4439 (2.2987) Prec@1 42.969 (47.451) Prec@5 70.312 (72.750)
Epoch: [95][3360/5005] Time 0.211 (0.210) Data 0.043 (0.047) Loss 2.1602 (2.2987) Prec@1 54.688 (47.453) Prec@5 73.438 (72.748)
Epoch: [95][3370/5005] Time 0.208 (0.210) Data 0.047 (0.047) Loss 2.3883 (2.2988) Prec@1 43.750 (47.451) Prec@5 74.219 (72.745)
Epoch: [95][3380/5005] Time 0.205 (0.210) Data 0.047 (0.047) Loss 2.4021 (2.2987) Prec@1 46.094 (47.453) Prec@5 71.875 (72.746)
Epoch: [95][3390/5005] Time 0.209 (0.210) Data 0.046 (0.047) Loss 2.2789 (2.2988) Prec@1 47.656 (47.451) Prec@5 73.047 (72.745)
Epoch: [95][3400/5005] Time 0.214 (0.210) Data 0.041 (0.047) Loss 2.1800 (2.2988) Prec@1 50.781 (47.452) Prec@5 73.438 (72.747)
Epoch: [95][3410/5005] Time 0.200 (0.210) Data 0.042 (0.047) Loss 2.1171 (2.2986) Prec@1 48.828 (47.453) Prec@5 76.562 (72.752)
Epoch: [95][3420/5005] Time 0.211 (0.210) Data 0.047 (0.047) Loss 2.3266 (2.2985) Prec@1 43.359 (47.454) Prec@5 75.000 (72.757)
Epoch: [95][3430/5005] Time 0.209 (0.210) Data 0.047 (0.047) Loss 2.2494 (2.2984) Prec@1 48.047 (47.458) Prec@5 72.266 (72.760)
Epoch: [95][3440/5005] Time 0.199 (0.210) Data 0.042 (0.047) Loss 2.2886 (2.2983) Prec@1 48.047 (47.458) Prec@5 72.656 (72.764)
Epoch: [95][3450/5005] Time 0.209 (0.210) Data 0.045 (0.047) Loss 2.1257 (2.2981) Prec@1 51.172 (47.463) Prec@5 74.609 (72.765)
Epoch: [95][3460/5005] Time 0.211 (0.210) Data 0.045 (0.047) Loss 2.2344 (2.2982) Prec@1 45.703 (47.462) Prec@5 73.047 (72.762)
Epoch: [95][3470/5005] Time 0.201 (0.210) Data 0.041 (0.047) Loss 2.1598 (2.2979) Prec@1 51.953 (47.467) Prec@5 75.000 (72.766)
Epoch: [95][3480/5005] Time 0.217 (0.210) Data 0.043 (0.047) Loss 2.2680 (2.2977) Prec@1 45.703 (47.469) Prec@5 72.266 (72.771)
Epoch: [95][3490/5005] Time 0.210 (0.210) Data 0.047 (0.047) Loss 2.3798 (2.2978) Prec@1 46.094 (47.469) Prec@5 70.312 (72.766)
Epoch: [95][3500/5005] Time 0.215 (0.210) Data 0.046 (0.047) Loss 2.0519 (2.2978) Prec@1 53.125 (47.470) Prec@5 82.812 (72.767)
Epoch: [95][3510/5005] Time 0.214 (0.210) Data 0.041 (0.047) Loss 2.0651 (2.2975) Prec@1 49.219 (47.471) Prec@5 76.953 (72.771)
Epoch: [95][3520/5005] Time 0.208 (0.210) Data 0.041 (0.047) Loss 2.4984 (2.2975) Prec@1 44.531 (47.473) Prec@5 71.484 (72.770)
Epoch: [95][3530/5005] Time 0.214 (0.210) Data 0.042 (0.047) Loss 2.2067 (2.2974) Prec@1 46.875 (47.475) Prec@5 77.344 (72.771)
Epoch: [95][3540/5005] Time 0.206 (0.210) Data 0.041 (0.047) Loss 2.1648 (2.2972) Prec@1 47.266 (47.475) Prec@5 76.172 (72.775)
Epoch: [95][3550/5005] Time 0.201 (0.210) Data 0.041 (0.047) Loss 2.4219 (2.2972) Prec@1 45.703 (47.476) Prec@5 68.359 (72.775)
Epoch: [95][3560/5005] Time 0.199 (0.210) Data 0.043 (0.047) Loss 2.3491 (2.2972) Prec@1 46.094 (47.477) Prec@5 70.312 (72.776)
Epoch: [95][3570/5005] Time 0.191 (0.210) Data 0.049 (0.047) Loss 2.2850 (2.2970) Prec@1 48.438 (47.480) Prec@5 72.656 (72.778)
Epoch: [95][3580/5005] Time 0.213 (0.210) Data 0.042 (0.047) Loss 2.2018 (2.2971) Prec@1 51.562 (47.479) Prec@5 72.266 (72.778)
Epoch: [95][3590/5005] Time 0.202 (0.210) Data 0.049 (0.047) Loss 2.3717 (2.2967) Prec@1 46.484 (47.485) Prec@5 71.875 (72.783)
Epoch: [95][3600/5005] Time 0.217 (0.210) Data 0.043 (0.047) Loss 2.2790 (2.2965) Prec@1 50.781 (47.491) Prec@5 73.047 (72.787)
Epoch: [95][3610/5005] Time 0.209 (0.210) Data 0.048 (0.047) Loss 2.1746 (2.2965) Prec@1 51.172 (47.487) Prec@5 74.219 (72.787)
Epoch: [95][3620/5005] Time 0.200 (0.210) Data 0.047 (0.047) Loss 2.3707 (2.2962) Prec@1 44.922 (47.493) Prec@5 73.438 (72.791)
Epoch: [95][3630/5005] Time 0.218 (0.210) Data 0.042 (0.047) Loss 2.3876 (2.2960) Prec@1 49.219 (47.493) Prec@5 71.094 (72.794)
Epoch: [95][3640/5005] Time 0.203 (0.210) Data 0.051 (0.047) Loss 2.2733 (2.2960) Prec@1 47.656 (47.495) Prec@5 75.000 (72.792)
Epoch: [95][3650/5005] Time 0.208 (0.210) Data 0.056 (0.047) Loss 1.9912 (2.2960) Prec@1 52.344 (47.496) Prec@5 76.953 (72.792)
Epoch: [95][3660/5005] Time 0.200 (0.210) Data 0.055 (0.047) Loss 2.4046 (2.2959) Prec@1 45.703 (47.501) Prec@5 68.750 (72.793)
Epoch: [95][3670/5005] Time 0.213 (0.210) Data 0.042 (0.047) Loss 2.4449 (2.2961) Prec@1 46.484 (47.500) Prec@5 70.703 (72.792)
Epoch: [95][3680/5005] Time 0.209 (0.210) Data 0.057 (0.047) Loss 2.1563 (2.2962) Prec@1 48.047 (47.499) Prec@5 73.047 (72.789)
Epoch: [95][3690/5005] Time 0.217 (0.210) Data 0.044 (0.047) Loss 2.1416 (2.2962) Prec@1 48.828 (47.498) Prec@5 76.172 (72.788)
Epoch: [95][3700/5005] Time 0.210 (0.210) Data 0.042 (0.047) Loss 2.2966 (2.2962) Prec@1 48.438 (47.500) Prec@5 71.484 (72.787)
Epoch: [95][3710/5005] Time 0.206 (0.210) Data 0.042 (0.047) Loss 2.2338 (2.2963) Prec@1 49.219 (47.498) Prec@5 75.000 (72.789)
Epoch: [95][3720/5005] Time 0.217 (0.210) Data 0.042 (0.047) Loss 2.5092 (2.2963) Prec@1 45.312 (47.499) Prec@5 70.312 (72.788)
Epoch: [95][3730/5005] Time 0.214 (0.210) Data 0.045 (0.047) Loss 2.1393 (2.2962) Prec@1 52.344 (47.498) Prec@5 75.781 (72.789)
Epoch: [95][3740/5005] Time 0.214 (0.210) Data 0.041 (0.047) Loss 2.3377 (2.2961) Prec@1 44.922 (47.499) Prec@5 72.266 (72.794)
Epoch: [95][3750/5005] Time 0.218 (0.210) Data 0.044 (0.047) Loss 2.1368 (2.2961) Prec@1 48.828 (47.499) Prec@5 76.172 (72.794)
Epoch: [95][3760/5005] Time 0.216 (0.210) Data 0.043 (0.047) Loss 2.2297 (2.2963) Prec@1 49.609 (47.498) Prec@5 71.875 (72.792)
Epoch: [95][3770/5005] Time 0.201 (0.210) Data 0.042 (0.047) Loss 2.3781 (2.2962) Prec@1 45.703 (47.499) Prec@5 74.609 (72.794)
Epoch: [95][3780/5005] Time 0.204 (0.210) Data 0.041 (0.047) Loss 2.3217 (2.2962) Prec@1 47.656 (47.499) Prec@5 72.266 (72.794)
Epoch: [95][3790/5005] Time 0.210 (0.210) Data 0.050 (0.047) Loss 2.3306 (2.2962) Prec@1 46.875 (47.497) Prec@5 74.609 (72.795)
Epoch: [95][3800/5005] Time 0.207 (0.210) Data 0.045 (0.047) Loss 2.1836 (2.2963) Prec@1 46.875 (47.493) Prec@5 75.391 (72.794)
Epoch: [95][3810/5005] Time 0.206 (0.210) Data 0.047 (0.047) Loss 2.2795 (2.2963) Prec@1 50.781 (47.490) Prec@5 74.219 (72.794)
Epoch: [95][3820/5005] Time 0.204 (0.210) Data 0.046 (0.047) Loss 2.1832 (2.2962) Prec@1 47.656 (47.494) Prec@5 75.391 (72.799)
Epoch: [95][3830/5005] Time 0.201 (0.210) Data 0.049 (0.047) Loss 2.2394 (2.2960) Prec@1 48.047 (47.498) Prec@5 74.609 (72.801)
Epoch: [95][3840/5005] Time 0.201 (0.210) Data 0.048 (0.047) Loss 2.6062 (2.2960) Prec@1 39.453 (47.499) Prec@5 66.016 (72.800)
Epoch: [95][3850/5005] Time 0.213 (0.210) Data 0.043 (0.047) Loss 2.2471 (2.2959) Prec@1 52.344 (47.498) Prec@5 73.047 (72.802)
Epoch: [95][3860/5005] Time 0.193 (0.210) Data 0.052 (0.047) Loss 2.0473 (2.2959) Prec@1 55.078 (47.500) Prec@5 76.172 (72.800)
Epoch: [95][3870/5005] Time 0.205 (0.210) Data 0.044 (0.047) Loss 2.1656 (2.2959) Prec@1 49.219 (47.500) Prec@5 76.562 (72.801)
Epoch: [95][3880/5005] Time 0.201 (0.210) Data 0.045 (0.047) Loss 2.1611 (2.2957) Prec@1 50.781 (47.504) Prec@5 76.953 (72.805)
Epoch: [95][3890/5005] Time 0.211 (0.210) Data 0.042 (0.047) Loss 2.5194 (2.2957) Prec@1 46.094 (47.506) Prec@5 71.484 (72.806)
Epoch: [95][3900/5005] Time 0.204 (0.210) Data 0.043 (0.047) Loss 2.4657 (2.2958) Prec@1 42.188 (47.504) Prec@5 70.703 (72.806)
Epoch: [95][3910/5005] Time 0.210 (0.210) Data 0.041 (0.047) Loss 2.3678 (2.2959) Prec@1 48.438 (47.503) Prec@5 70.312 (72.804)
Epoch: [95][3920/5005] Time 0.212 (0.210) Data 0.043 (0.047) Loss 2.3389 (2.2960) Prec@1 47.266 (47.501) Prec@5 69.922 (72.799)
Epoch: [95][3930/5005] Time 0.201 (0.210) Data 0.044 (0.047) Loss 2.2681 (2.2958) Prec@1 47.266 (47.502) Prec@5 72.266 (72.800)
Epoch: [95][3940/5005] Time 0.308 (0.210) Data 0.055 (0.047) Loss 2.2656 (2.2957) Prec@1 48.438 (47.501) Prec@5 69.922 (72.799)
Epoch: [95][3950/5005] Time 0.203 (0.210) Data 0.061 (0.047) Loss 2.2029 (2.2955) Prec@1 50.000 (47.503) Prec@5 74.609 (72.801)
Epoch: [95][3960/5005] Time 0.220 (0.210) Data 0.047 (0.047) Loss 2.4049 (2.2956) Prec@1 44.922 (47.503) Prec@5 69.141 (72.798)
Epoch: [95][3970/5005] Time 0.205 (0.210) Data 0.050 (0.047) Loss 2.2243 (2.2956) Prec@1 50.391 (47.504) Prec@5 73.828 (72.798)
Epoch: [95][3980/5005] Time 0.198 (0.210) Data 0.044 (0.047) Loss 2.1566 (2.2956) Prec@1 47.656 (47.504) Prec@5 74.609 (72.797)
Epoch: [95][3990/5005] Time 0.207 (0.210) Data 0.043 (0.047) Loss 2.3857 (2.2956) Prec@1 46.875 (47.501) Prec@5 71.484 (72.795)
Epoch: [95][4000/5005] Time 0.199 (0.210) Data 0.046 (0.047) Loss 2.1004 (2.2956) Prec@1 50.781 (47.498) Prec@5 76.172 (72.793)
Epoch: [95][4010/5005] Time 0.216 (0.210) Data 0.042 (0.047) Loss 2.3349 (2.2955) Prec@1 46.875 (47.502) Prec@5 72.656 (72.797)
Epoch: [95][4020/5005] Time 0.210 (0.210) Data 0.050 (0.047) Loss 2.4270 (2.2954) Prec@1 46.484 (47.503) Prec@5 70.703 (72.797)
Epoch: [95][4030/5005] Time 0.216 (0.210) Data 0.046 (0.047) Loss 2.5495 (2.2957) Prec@1 38.672 (47.501) Prec@5 68.750 (72.794)
Epoch: [95][4040/5005] Time 0.214 (0.210) Data 0.051 (0.047) Loss 2.2453 (2.2958) Prec@1 51.172 (47.497) Prec@5 74.609 (72.791)
Epoch: [95][4050/5005] Time 0.211 (0.210) Data 0.047 (0.047) Loss 2.4566 (2.2958) Prec@1 42.578 (47.498) Prec@5 70.703 (72.793)
Epoch: [95][4060/5005] Time 0.213 (0.210) Data 0.043 (0.047) Loss 2.3537 (2.2958) Prec@1 45.703 (47.497) Prec@5 69.922 (72.794)
Epoch: [95][4070/5005] Time 0.208 (0.210) Data 0.046 (0.047) Loss 2.4595 (2.2958) Prec@1 42.578 (47.495) Prec@5 72.656 (72.795)
Epoch: [95][4080/5005] Time 0.213 (0.210) Data 0.044 (0.047) Loss 2.3141 (2.2958) Prec@1 48.828 (47.495) Prec@5 77.344 (72.793)
Epoch: [95][4090/5005] Time 0.210 (0.210) Data 0.043 (0.047) Loss 2.3912 (2.2957) Prec@1 46.484 (47.499) Prec@5 68.750 (72.794)
Epoch: [95][4100/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.2196 (2.2956) Prec@1 46.094 (47.498) Prec@5 75.000 (72.795)
Epoch: [95][4110/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.4305 (2.2956) Prec@1 49.219 (47.498) Prec@5 69.141 (72.794)
Epoch: [95][4120/5005] Time 0.207 (0.210) Data 0.043 (0.047) Loss 2.4501 (2.2955) Prec@1 44.141 (47.500) Prec@5 70.312 (72.795)
Epoch: [95][4130/5005] Time 0.211 (0.210) Data 0.044 (0.047) Loss 2.4396 (2.2955) Prec@1 46.875 (47.502) Prec@5 66.797 (72.796)
Epoch: [95][4140/5005] Time 0.213 (0.210) Data 0.045 (0.047) Loss 2.3719 (2.2955) Prec@1 44.922 (47.502) Prec@5 68.750 (72.795)
Epoch: [95][4150/5005] Time 0.214 (0.210) Data 0.044 (0.047) Loss 2.5951 (2.2955) Prec@1 42.578 (47.503) Prec@5 68.750 (72.797)
Epoch: [95][4160/5005] Time 0.213 (0.210) Data 0.044 (0.047) Loss 2.1803 (2.2956) Prec@1 51.562 (47.504) Prec@5 77.344 (72.798)
Epoch: [95][4170/5005] Time 0.199 (0.210) Data 0.045 (0.047) Loss 2.2284 (2.2955) Prec@1 45.312 (47.506) Prec@5 74.609 (72.802)
Epoch: [95][4180/5005] Time 0.222 (0.210) Data 0.043 (0.047) Loss 2.2005 (2.2956) Prec@1 50.391 (47.506) Prec@5 72.266 (72.800)
Epoch: [95][4190/5005] Time 0.211 (0.210) Data 0.041 (0.047) Loss 2.2138 (2.2956) Prec@1 46.094 (47.505) Prec@5 75.000 (72.799)
Epoch: [95][4200/5005] Time 0.209 (0.210) Data 0.043 (0.047) Loss 2.0704 (2.2955) Prec@1 50.781 (47.507) Prec@5 75.000 (72.800)
Epoch: [95][4210/5005] Time 0.213 (0.210) Data 0.041 (0.047) Loss 2.0773 (2.2955) Prec@1 50.391 (47.507) Prec@5 77.344 (72.801)
Epoch: [95][4220/5005] Time 0.205 (0.210) Data 0.042 (0.047) Loss 2.4072 (2.2956) Prec@1 46.094 (47.506) Prec@5 73.828 (72.799)
Epoch: [95][4230/5005] Time 0.198 (0.210) Data 0.042 (0.047) Loss 2.4132 (2.2957) Prec@1 45.703 (47.506) Prec@5 73.047 (72.798)
Epoch: [95][4240/5005] Time 0.205 (0.210) Data 0.043 (0.047) Loss 2.1055 (2.2956) Prec@1 50.781 (47.507) Prec@5 76.953 (72.799)
Epoch: [95][4250/5005] Time 0.206 (0.210) Data 0.040 (0.047) Loss 2.2396 (2.2955) Prec@1 49.609 (47.510) Prec@5 73.047 (72.800)
Epoch: [95][4260/5005] Time 0.208 (0.210) Data 0.045 (0.047) Loss 2.2003 (2.2955) Prec@1 47.656 (47.510) Prec@5 75.000 (72.800)
Epoch: [95][4270/5005] Time 0.208 (0.210) Data 0.044 (0.047) Loss 2.5397 (2.2957) Prec@1 47.266 (47.510) Prec@5 70.703 (72.798)
Epoch: [95][4280/5005] Time 0.212 (0.210) Data 0.046 (0.047) Loss 2.3951 (2.2957) Prec@1 42.578 (47.507) Prec@5 72.266 (72.798)
Epoch: [95][4290/5005] Time 0.202 (0.210) Data 0.045 (0.047) Loss 2.4110 (2.2958) Prec@1 44.922 (47.506) Prec@5 72.266 (72.797)
Epoch: [95][4300/5005] Time 0.206 (0.210) Data 0.049 (0.047) Loss 2.1005 (2.2956) Prec@1 49.219 (47.506) Prec@5 77.734 (72.800)
Epoch: [95][4310/5005] Time 0.204 (0.210) Data 0.039 (0.047) Loss 2.3263 (2.2956) Prec@1 45.312 (47.505) Prec@5 72.266 (72.802)
Epoch: [95][4320/5005] Time 0.208 (0.210) Data 0.047 (0.047) Loss 2.2420 (2.2956) Prec@1 48.828 (47.504) Prec@5 74.219 (72.803)
Epoch: [95][4330/5005] Time 0.209 (0.210) Data 0.049 (0.047) Loss 2.2624 (2.2955) Prec@1 46.484 (47.503) Prec@5 71.094 (72.803)
Epoch: [95][4340/5005] Time 0.206 (0.210) Data 0.044 (0.047) Loss 2.2777 (2.2956) Prec@1 48.438 (47.501) Prec@5 72.266 (72.803)
Epoch: [95][4350/5005] Time 0.202 (0.210) Data 0.049 (0.047) Loss 2.3430 (2.2956) Prec@1 48.047 (47.501) Prec@5 72.656 (72.804)
Epoch: [95][4360/5005] Time 0.204 (0.210) Data 0.062 (0.047) Loss 2.0419 (2.2954) Prec@1 49.609 (47.504) Prec@5 78.125 (72.806)
Epoch: [95][4370/5005] Time 0.203 (0.210) Data 0.045 (0.047) Loss 2.1751 (2.2955) Prec@1 50.000 (47.505) Prec@5 75.391 (72.807)
Epoch: [95][4380/5005] Time 0.209 (0.210) Data 0.045 (0.047) Loss 2.3783 (2.2954) Prec@1 42.969 (47.505) Prec@5 72.266 (72.808)
Epoch: [95][4390/5005] Time 0.210 (0.210) Data 0.053 (0.047) Loss 2.4317 (2.2953) Prec@1 44.922 (47.507) Prec@5 68.359 (72.807)
Epoch: [95][4400/5005] Time 0.194 (0.210) Data 0.052 (0.047) Loss 2.2463 (2.2953) Prec@1 47.656 (47.506) Prec@5 71.484 (72.808)
Epoch: [95][4410/5005] Time 0.208 (0.210) Data 0.039 (0.047) Loss 2.2898 (2.2953) Prec@1 45.703 (47.503) Prec@5 71.484 (72.811)
Epoch: [95][4420/5005] Time 0.213 (0.210) Data 0.043 (0.047) Loss 2.0637 (2.2952) Prec@1 53.516 (47.502) Prec@5 76.172 (72.812)
Epoch: [95][4430/5005] Time 0.210 (0.210) Data 0.049 (0.047) Loss 2.4497 (2.2950) Prec@1 47.656 (47.508) Prec@5 67.969 (72.815)
Epoch: [95][4440/5005] Time 0.208 (0.210) Data 0.041 (0.047) Loss 2.3606 (2.2950) Prec@1 46.875 (47.509) Prec@5 70.703 (72.814)
Epoch: [95][4450/5005] Time 0.210 (0.210) Data 0.042 (0.047) Loss 2.1927 (2.2950) Prec@1 50.391 (47.510) Prec@5 76.172 (72.815)
Epoch: [95][4460/5005] Time 0.207 (0.210) Data 0.045 (0.047) Loss 2.3860 (2.2949) Prec@1 48.438 (47.510) Prec@5 70.312 (72.813)
Epoch: [95][4470/5005] Time 0.219 (0.210) Data 0.047 (0.047) Loss 2.3660 (2.2951) Prec@1 44.922 (47.505) Prec@5 72.266 (72.812)
Epoch: [95][4480/5005] Time 0.212 (0.210) Data 0.044 (0.047) Loss 2.1376 (2.2951) Prec@1 48.828 (47.504) Prec@5 74.609 (72.811)
Epoch: [95][4490/5005] Time 0.193 (0.210) Data 0.059 (0.047) Loss 2.2330 (2.2951) Prec@1 47.266 (47.504) Prec@5 75.000 (72.810)
Epoch: [95][4500/5005] Time 0.201 (0.210) Data 0.040 (0.047) Loss 2.2810 (2.2951) Prec@1 48.828 (47.507) Prec@5 72.656 (72.813)
Epoch: [95][4510/5005] Time 0.200 (0.210) Data 0.053 (0.047) Loss 2.2320 (2.2951) Prec@1 48.438 (47.503) Prec@5 71.875 (72.812)
Epoch: [95][4520/5005] Time 0.200 (0.210) Data 0.047 (0.047) Loss 2.4015 (2.2950) Prec@1 45.312 (47.507) Prec@5 74.219 (72.814)
Epoch: [95][4530/5005] Time 0.206 (0.210) Data 0.053 (0.047) Loss 2.3416 (2.2950) Prec@1 44.141 (47.507) Prec@5 73.047 (72.814)
Epoch: [95][4540/5005] Time 0.211 (0.210) Data 0.045 (0.047) Loss 2.2659 (2.2951) Prec@1 50.000 (47.504) Prec@5 74.219 (72.813)
Epoch: [95][4550/5005] Time 0.211 (0.210) Data 0.040 (0.047) Loss 2.1884 (2.2950) Prec@1 51.562 (47.507) Prec@5 74.609 (72.814)
Epoch: [95][4560/5005] Time 0.215 (0.210) Data 0.045 (0.047) Loss 2.2482 (2.2949) Prec@1 47.656 (47.508) Prec@5 74.609 (72.818)
Epoch: [95][4570/5005] Time 0.209 (0.210) Data 0.042 (0.047) Loss 2.3221 (2.2947) Prec@1 47.656 (47.509) Prec@5 73.047 (72.821)
Epoch: [95][4580/5005] Time 0.212 (0.210) Data 0.044 (0.047) Loss 2.2310 (2.2947) Prec@1 45.312 (47.510) Prec@5 74.609 (72.823)
Epoch: [95][4590/5005] Time 0.203 (0.210) Data 0.050 (0.047) Loss 2.0806 (2.2947) Prec@1 51.953 (47.511) Prec@5 76.562 (72.822)
Epoch: [95][4600/5005] Time 0.209 (0.210) Data 0.047 (0.047) Loss 2.0480 (2.2947) Prec@1 54.688 (47.513) Prec@5 77.734 (72.823)
Epoch: [95][4610/5005] Time 0.206 (0.210) Data 0.052 (0.047) Loss 2.0541 (2.2946) Prec@1 48.828 (47.515) Prec@5 76.562 (72.826)
Epoch: [95][4620/5005] Time 0.211 (0.210) Data 0.044 (0.047) Loss 2.1806 (2.2946) Prec@1 49.219 (47.517) Prec@5 75.781 (72.825)
Epoch: [95][4630/5005] Time 0.206 (0.210) Data 0.052 (0.047) Loss 2.1240 (2.2944) Prec@1 48.047 (47.517) Prec@5 76.953 (72.829)
Epoch: [95][4640/5005] Time 0.194 (0.209) Data 0.047 (0.047) Loss 2.2920 (2.2944) Prec@1 48.828 (47.518) Prec@5 74.219 (72.828)
Epoch: [95][4650/5005] Time 0.212 (0.209) Data 0.049 (0.047) Loss 2.2718 (2.2943) Prec@1 45.703 (47.520) Prec@5 73.828 (72.830)
Epoch: [95][4660/5005] Time 0.208 (0.209) Data 0.050 (0.047) Loss 2.5410 (2.2942) Prec@1 46.875 (47.523) Prec@5 70.312 (72.831)
Epoch: [95][4670/5005] Time 0.211 (0.209) Data 0.041 (0.047) Loss 2.3124 (2.2941) Prec@1 47.656 (47.525) Prec@5 71.484 (72.832)
Epoch: [95][4680/5005] Time 0.212 (0.209) Data 0.043 (0.047) Loss 2.1362 (2.2942) Prec@1 49.609 (47.524) Prec@5 80.078 (72.833)
Epoch: [95][4690/5005] Time 0.212 (0.209) Data 0.045 (0.047) Loss 2.3045 (2.2941) Prec@1 44.141 (47.523) Prec@5 72.266 (72.834)
Epoch: [95][4700/5005] Time 0.196 (0.209) Data 0.052 (0.047) Loss 2.2789 (2.2941) Prec@1 49.219 (47.526) Prec@5 72.656 (72.834)
Epoch: [95][4710/5005] Time 0.207 (0.209) Data 0.047 (0.047) Loss 2.1190 (2.2938) Prec@1 53.125 (47.528) Prec@5 77.734 (72.838)
Epoch: [95][4720/5005] Time 0.212 (0.209) Data 0.047 (0.047) Loss 2.0843 (2.2938) Prec@1 50.000 (47.529) Prec@5 77.734 (72.839)
Epoch: [95][4730/5005] Time 0.209 (0.209) Data 0.043 (0.047) Loss 2.3071 (2.2938) Prec@1 45.312 (47.527) Prec@5 73.047 (72.836)
Epoch: [95][4740/5005] Time 0.210 (0.209) Data 0.044 (0.047) Loss 2.3133 (2.2938) Prec@1 41.797 (47.529) Prec@5 72.656 (72.839)
Epoch: [95][4750/5005] Time 0.212 (0.209) Data 0.045 (0.047) Loss 2.2449 (2.2937) Prec@1 46.875 (47.530) Prec@5 71.094 (72.840)
Epoch: [95][4760/5005] Time 0.191 (0.209) Data 0.053 (0.047) Loss 2.5010 (2.2935) Prec@1 43.359 (47.531) Prec@5 69.531 (72.842)
Epoch: [95][4770/5005] Time 0.210 (0.209) Data 0.044 (0.047) Loss 2.3206 (2.2936) Prec@1 44.922 (47.530) Prec@5 71.875 (72.843)
Epoch: [95][4780/5005] Time 0.210 (0.209) Data 0.044 (0.047) Loss 2.4926 (2.2936) Prec@1 42.969 (47.532) Prec@5 68.359 (72.841)
Epoch: [95][4790/5005] Time 0.205 (0.209) Data 0.047 (0.047) Loss 2.4699 (2.2937) Prec@1 43.750 (47.532) Prec@5 69.141 (72.840)
Epoch: [95][4800/5005] Time 0.213 (0.209) Data 0.043 (0.047) Loss 2.4244 (2.2936) Prec@1 41.406 (47.532) Prec@5 69.531 (72.844)
Epoch: [95][4810/5005] Time 0.210 (0.209) Data 0.048 (0.047) Loss 2.3346 (2.2935) Prec@1 49.219 (47.530) Prec@5 70.703 (72.846)
Epoch: [95][4820/5005] Time 0.192 (0.209) Data 0.041 (0.047) Loss 2.4565 (2.2934) Prec@1 45.703 (47.533) Prec@5 71.094 (72.848)
Epoch: [95][4830/5005] Time 0.209 (0.209) Data 0.048 (0.047) Loss 2.3332 (2.2932) Prec@1 43.750 (47.535) Prec@5 69.531 (72.850)
Epoch: [95][4840/5005] Time 0.209 (0.209) Data 0.042 (0.047) Loss 2.0446 (2.2933) Prec@1 52.734 (47.534) Prec@5 75.000 (72.848)
Epoch: [95][4850/5005] Time 0.201 (0.209) Data 0.050 (0.047) Loss 2.3293 (2.2934) Prec@1 46.484 (47.533) Prec@5 73.047 (72.846)
Epoch: [95][4860/5005] Time 0.197 (0.209) Data 0.050 (0.047) Loss 2.2801 (2.2933) Prec@1 46.875 (47.534) Prec@5 75.000 (72.848)
Epoch: [95][4870/5005] Time 0.202 (0.209) Data 0.052 (0.047) Loss 2.2568 (2.2933) Prec@1 48.828 (47.535) Prec@5 73.047 (72.846)
Epoch: [95][4880/5005] Time 0.203 (0.209) Data 0.063 (0.047) Loss 2.1359 (2.2932) Prec@1 53.125 (47.536) Prec@5 74.219 (72.849)
Epoch: [95][4890/5005] Time 0.209 (0.209) Data 0.041 (0.047) Loss 2.3312 (2.2932) Prec@1 45.703 (47.536) Prec@5 72.656 (72.849)
Epoch: [95][4900/5005] Time 0.207 (0.209) Data 0.046 (0.047) Loss 2.2267 (2.2931) Prec@1 48.438 (47.539) Prec@5 72.266 (72.849)
Epoch: [95][4910/5005] Time 0.212 (0.209) Data 0.041 (0.047) Loss 2.2341 (2.2928) Prec@1 49.219 (47.542) Prec@5 73.438 (72.854)
Epoch: [95][4920/5005] Time 0.212 (0.209) Data 0.041 (0.047) Loss 2.1594 (2.2928) Prec@1 47.266 (47.542) Prec@5 70.703 (72.855)
Epoch: [95][4930/5005] Time 0.202 (0.209) Data 0.043 (0.047) Loss 2.4312 (2.2928) Prec@1 46.484 (47.542) Prec@5 69.922 (72.856)
Epoch: [95][4940/5005] Time 0.198 (0.209) Data 0.049 (0.047) Loss 2.3093 (2.2928) Prec@1 51.562 (47.542) Prec@5 70.703 (72.855)
Epoch: [95][4950/5005] Time 0.209 (0.209) Data 0.047 (0.047) Loss 1.9609 (2.2928) Prec@1 49.609 (47.542) Prec@5 78.906 (72.854)
Epoch: [95][4960/5005] Time 0.213 (0.209) Data 0.041 (0.047) Loss 2.3372 (2.2928) Prec@1 48.438 (47.543) Prec@5 71.484 (72.856)
Epoch: [95][4970/5005] Time 0.204 (0.209) Data 0.049 (0.047) Loss 2.4216 (2.2927) Prec@1 42.188 (47.543) Prec@5 72.266 (72.856)
Epoch: [95][4980/5005] Time 0.208 (0.209) Data 0.043 (0.047) Loss 2.3645 (2.2926) Prec@1 46.094 (47.547) Prec@5 72.656 (72.860)
Epoch: [95][4990/5005] Time 0.206 (0.209) Data 0.026 (0.047) Loss 2.3772 (2.2926) Prec@1 42.188 (47.545) Prec@5 70.312 (72.858)
Epoch: [95][5000/5005] Time 0.208 (0.209) Data 0.022 (0.047) Loss 2.3253 (2.2927) Prec@1 45.312 (47.541) Prec@5 69.922 (72.856)
Test: [0/196] Time 1.735 (1.735) Loss 2.3880 (2.3880) Prec@1 51.172 (51.172) Prec@5 71.094 (71.094)
Test: [10/196] Time 0.044 (0.324) Loss 2.4775 (2.5494) Prec@1 47.266 (44.283) Prec@5 73.047 (69.283)
Test: [20/196] Time 0.046 (0.236) Loss 2.4528 (2.5515) Prec@1 46.094 (43.787) Prec@5 75.000 (69.568)
Test: [30/196] Time 0.043 (0.214) Loss 2.4341 (2.5533) Prec@1 44.141 (43.788) Prec@5 69.922 (69.393)
Test: [40/196] Time 0.042 (0.207) Loss 2.3340 (2.5511) Prec@1 48.828 (43.902) Prec@5 73.828 (69.446)
Test: [50/196] Time 0.211 (0.204) Loss 2.6169 (2.5551) Prec@1 46.875 (43.972) Prec@5 70.312 (69.462)
Test: [60/196] Time 0.044 (0.189) Loss 2.4712 (2.5397) Prec@1 47.266 (44.397) Prec@5 70.312 (69.589)
Test: [70/196] Time 0.044 (0.190) Loss 2.4874 (2.5335) Prec@1 44.922 (44.394) Prec@5 68.359 (69.636)
Test: [80/196] Time 0.042 (0.187) Loss 2.3608 (2.5393) Prec@1 48.828 (44.271) Prec@5 75.000 (69.618)
Test: [90/196] Time 0.104 (0.186) Loss 2.5846 (2.5416) Prec@1 46.875 (44.420) Prec@5 67.188 (69.531)
Test: [100/196] Time 0.104 (0.183) Loss 2.5573 (2.5383) Prec@1 44.141 (44.655) Prec@5 70.312 (69.601)
Test: [110/196] Time 0.687 (0.189) Loss 2.7842 (2.5412) Prec@1 41.016 (44.714) Prec@5 63.281 (69.577)
Test: [120/196] Time 0.044 (0.185) Loss 2.3974 (2.5392) Prec@1 46.094 (44.673) Prec@5 71.875 (69.628)
Test: [130/196] Time 0.043 (0.184) Loss 2.1947 (2.5349) Prec@1 48.438 (44.803) Prec@5 76.172 (69.662)
Test: [140/196] Time 0.042 (0.183) Loss 2.3575 (2.5362) Prec@1 51.172 (44.722) Prec@5 73.047 (69.623)
Test: [150/196] Time 0.354 (0.182) Loss 2.2066 (2.5356) Prec@1 50.781 (44.730) Prec@5 77.734 (69.666)
Test: [160/196] Time 0.133 (0.181) Loss 2.4888 (2.5338) Prec@1 46.484 (44.694) Prec@5 69.922 (69.711)
Test: [170/196] Time 0.155 (0.181) Loss 2.4359 (2.5353) Prec@1 42.188 (44.657) Prec@5 73.047 (69.689)
Test: [180/196] Time 0.352 (0.183) Loss 2.7131 (2.5394) Prec@1 41.016 (44.590) Prec@5 68.750 (69.590)
Test: [190/196] Time 0.042 (0.182) Loss 2.7325 (2.5425) Prec@1 44.531 (44.541) Prec@5 66.406 (69.478)
* Prec@1 44.506 Prec@5 69.478
Learning rate: 1e-06
Epoch: [96][0/5005] Time 1.180 (1.180) Data 1.057 (1.057) Loss 2.1902 (2.1902) Prec@1 48.047 (48.047) Prec@5 75.000 (75.000)
Epoch: [96][10/5005] Time 0.198 (0.291) Data 0.043 (0.142) Loss 2.2758 (2.3087) Prec@1 49.609 (46.626) Prec@5 73.438 (72.124)
Epoch: [96][20/5005] Time 0.204 (0.250) Data 0.042 (0.096) Loss 2.4427 (2.3287) Prec@1 43.359 (45.536) Prec@5 73.438 (72.042)
Epoch: [96][30/5005] Time 0.196 (0.235) Data 0.042 (0.080) Loss 2.1796 (2.2838) Prec@1 51.562 (46.308) Prec@5 70.312 (72.606)
Epoch: [96][40/5005] Time 0.211 (0.228) Data 0.044 (0.071) Loss 2.3065 (2.2871) Prec@1 46.484 (46.418) Prec@5 73.047 (72.628)
Epoch: [96][50/5005] Time 0.208 (0.223) Data 0.043 (0.067) Loss 2.1044 (2.2873) Prec@1 47.656 (46.469) Prec@5 79.688 (72.587)
Epoch: [96][60/5005] Time 0.209 (0.220) Data 0.042 (0.063) Loss 2.2391 (2.2898) Prec@1 48.047 (46.529) Prec@5 75.391 (72.791)
Epoch: [96][70/5005] Time 0.191 (0.218) Data 0.042 (0.060) Loss 2.2322 (2.2976) Prec@1 45.703 (46.512) Prec@5 75.781 (72.695)
Epoch: [96][80/5005] Time 0.203 (0.217) Data 0.042 (0.058) Loss 2.2346 (2.2919) Prec@1 49.609 (46.764) Prec@5 72.266 (72.806)
Epoch: [96][90/5005] Time 0.201 (0.215) Data 0.042 (0.057) Loss 2.3063 (2.2888) Prec@1 47.266 (46.965) Prec@5 71.094 (72.815)
Epoch: [96][100/5005] Time 0.208 (0.214) Data 0.046 (0.056) Loss 2.2611 (2.2923) Prec@1 42.969 (46.887) Prec@5 73.047 (72.710)
Epoch: [96][110/5005] Time 0.204 (0.213) Data 0.044 (0.054) Loss 2.2217 (2.2959) Prec@1 50.000 (47.026) Prec@5 74.219 (72.751)
Epoch: [96][120/5005] Time 0.203 (0.212) Data 0.041 (0.054) Loss 2.3105 (2.2980) Prec@1 48.828 (47.004) Prec@5 72.266 (72.724)
Epoch: [96][130/5005] Time 0.209 (0.212) Data 0.043 (0.053) Loss 2.3034 (2.2984) Prec@1 46.875 (47.000) Prec@5 72.266 (72.749)
Epoch: [96][140/5005] Time 0.207 (0.212) Data 0.044 (0.052) Loss 2.4360 (2.2956) Prec@1 47.266 (47.110) Prec@5 69.922 (72.739)
Epoch: [96][150/5005] Time 0.206 (0.211) Data 0.044 (0.052) Loss 2.4673 (2.2981) Prec@1 40.625 (47.118) Prec@5 71.484 (72.708)
Epoch: [96][160/5005] Time 0.206 (0.211) Data 0.042 (0.051) Loss 2.2533 (2.2994) Prec@1 44.922 (47.057) Prec@5 73.828 (72.710)
Epoch: [96][170/5005] Time 0.213 (0.211) Data 0.051 (0.051) Loss 2.4426 (2.3001) Prec@1 45.312 (47.085) Prec@5 71.484 (72.713)
Epoch: [96][180/5005] Time 0.223 (0.211) Data 0.048 (0.051) Loss 2.4380 (2.3019) Prec@1 48.438 (47.078) Prec@5 69.141 (72.689)
Epoch: [96][190/5005] Time 0.218 (0.212) Data 0.045 (0.051) Loss 2.4130 (2.3075) Prec@1 46.484 (46.973) Prec@5 69.531 (72.636)
Epoch: [96][200/5005] Time 0.218 (0.212) Data 0.047 (0.051) Loss 2.5337 (2.3078) Prec@1 39.062 (46.957) Prec@5 72.266 (72.635)
Epoch: [96][210/5005] Time 0.205 (0.212) Data 0.050 (0.050) Loss 2.1645 (2.3058) Prec@1 50.781 (47.032) Prec@5 73.828 (72.662)
Epoch: [96][220/5005] Time 0.216 (0.213) Data 0.047 (0.050) Loss 2.3036 (2.3076) Prec@1 47.266 (47.034) Prec@5 73.438 (72.639)
Epoch: [96][230/5005] Time 0.231 (0.213) Data 0.048 (0.050) Loss 2.3217 (2.3070) Prec@1 47.266 (47.091) Prec@5 71.094 (72.655)
Epoch: [96][240/5005] Time 0.221 (0.213) Data 0.048 (0.050) Loss 2.2875 (2.3066) Prec@1 46.484 (47.042) Prec@5 72.656 (72.658)
Epoch: [96][250/5005] Time 0.223 (0.213) Data 0.046 (0.050) Loss 2.4079 (2.3062) Prec@1 44.141 (47.090) Prec@5 70.703 (72.664)
Epoch: [96][260/5005] Time 0.213 (0.213) Data 0.047 (0.050) Loss 2.2546 (2.3067) Prec@1 45.703 (47.095) Prec@5 73.438 (72.695)
Epoch: [96][270/5005] Time 0.211 (0.214) Data 0.043 (0.050) Loss 2.1884 (2.3059) Prec@1 50.781 (47.124) Prec@5 75.391 (72.697)
Epoch: [96][280/5005] Time 0.220 (0.214) Data 0.046 (0.050) Loss 2.7344 (2.3078) Prec@1 40.625 (47.102) Prec@5 63.672 (72.645)
Epoch: [96][290/5005] Time 0.214 (0.214) Data 0.047 (0.050) Loss 2.1877 (2.3092) Prec@1 48.438 (47.084) Prec@5 71.484 (72.590)
Epoch: [96][300/5005] Time 0.213 (0.214) Data 0.061 (0.050) Loss 2.0886 (2.3090) Prec@1 46.094 (47.090) Prec@5 75.000 (72.597)
Epoch: [96][310/5005] Time 0.207 (0.214) Data 0.058 (0.051) Loss 2.1264 (2.3074) Prec@1 48.047 (47.101) Prec@5 76.172 (72.629)
Epoch: [96][320/5005] Time 0.212 (0.214) Data 0.052 (0.051) Loss 2.6458 (2.3092) Prec@1 41.016 (47.118) Prec@5 67.188 (72.600)
Epoch: [96][330/5005] Time 0.217 (0.214) Data 0.051 (0.051) Loss 2.0798 (2.3082) Prec@1 51.953 (47.137) Prec@5 78.906 (72.629)
Epoch: [96][340/5005] Time 0.205 (0.214) Data 0.064 (0.051) Loss 2.3614 (2.3117) Prec@1 44.922 (47.073) Prec@5 69.922 (72.542)
Epoch: [96][350/5005] Time 0.206 (0.213) Data 0.045 (0.051) Loss 2.3830 (2.3118) Prec@1 47.266 (47.064) Prec@5 71.875 (72.533)
Epoch: [96][360/5005] Time 0.221 (0.214) Data 0.041 (0.050) Loss 2.3491 (2.3113) Prec@1 45.312 (47.094) Prec@5 69.922 (72.505)
Epoch: [96][370/5005] Time 0.217 (0.214) Data 0.043 (0.050) Loss 2.3835 (2.3107) Prec@1 41.797 (47.085) Prec@5 70.703 (72.514)
Epoch: [96][380/5005] Time 0.215 (0.214) Data 0.059 (0.050) Loss 2.4754 (2.3128) Prec@1 46.484 (47.065) Prec@5 70.312 (72.478)
Epoch: [96][390/5005] Time 0.221 (0.214) Data 0.053 (0.051) Loss 2.3130 (2.3132) Prec@1 50.391 (47.055) Prec@5 75.391 (72.476)
Epoch: [96][400/5005] Time 0.208 (0.214) Data 0.057 (0.050) Loss 2.1353 (2.3119) Prec@1 51.562 (47.080) Prec@5 77.344 (72.505)
Epoch: [96][410/5005] Time 0.216 (0.214) Data 0.047 (0.050) Loss 2.2323 (2.3119) Prec@1 44.531 (47.063) Prec@5 75.781 (72.525)
Epoch: [96][420/5005] Time 0.212 (0.214) Data 0.042 (0.050) Loss 2.1932 (2.3114) Prec@1 48.047 (47.079) Prec@5 75.000 (72.535)
Epoch: [96][430/5005] Time 0.214 (0.214) Data 0.044 (0.050) Loss 2.3139 (2.3112) Prec@1 48.047 (47.087) Prec@5 71.875 (72.533)
Epoch: [96][440/5005] Time 0.219 (0.214) Data 0.044 (0.050) Loss 2.1864 (2.3104) Prec@1 53.516 (47.075) Prec@5 73.828 (72.547)
Epoch: [96][450/5005] Time 0.204 (0.214) Data 0.045 (0.050) Loss 2.1943 (2.3121) Prec@1 50.000 (47.059) Prec@5 75.000 (72.525)
Epoch: [96][460/5005] Time 0.206 (0.214) Data 0.048 (0.050) Loss 2.4581 (2.3130) Prec@1 48.047 (47.039) Prec@5 67.969 (72.508)
Epoch: [96][470/5005] Time 0.210 (0.214) Data 0.052 (0.050) Loss 2.3231 (2.3138) Prec@1 47.656 (47.017) Prec@5 71.875 (72.480)
Epoch: [96][480/5005] Time 0.212 (0.214) Data 0.040 (0.050) Loss 2.2995 (2.3132) Prec@1 46.094 (47.015) Prec@5 70.703 (72.483)
Epoch: [96][490/5005] Time 0.207 (0.214) Data 0.044 (0.050) Loss 2.3032 (2.3129) Prec@1 51.172 (47.045) Prec@5 71.875 (72.494)
Epoch: [96][500/5005] Time 0.219 (0.214) Data 0.040 (0.050) Loss 2.5284 (2.3145) Prec@1 44.141 (47.030) Prec@5 67.578 (72.464)
Epoch: [96][510/5005] Time 0.207 (0.214) Data 0.044 (0.050) Loss 2.5548 (2.3155) Prec@1 42.188 (47.019) Prec@5 66.797 (72.445)
Epoch: [96][520/5005] Time 0.221 (0.214) Data 0.043 (0.049) Loss 2.2749 (2.3151) Prec@1 49.219 (47.009) Prec@5 73.438 (72.447)
Epoch: [96][530/5005] Time 0.218 (0.214) Data 0.044 (0.049) Loss 2.2939 (2.3151) Prec@1 47.656 (47.007) Prec@5 73.438 (72.433)
Epoch: [96][540/5005] Time 0.212 (0.214) Data 0.039 (0.049) Loss 2.4213 (2.3154) Prec@1 48.047 (47.024) Prec@5 69.531 (72.410)
Epoch: [96][550/5005] Time 0.219 (0.214) Data 0.043 (0.049) Loss 2.2219 (2.3150) Prec@1 46.875 (47.039) Prec@5 76.172 (72.407)
Epoch: [96][560/5005] Time 0.210 (0.214) Data 0.046 (0.049) Loss 2.4411 (2.3153) Prec@1 46.094 (47.041) Prec@5 68.750 (72.394)
Epoch: [96][570/5005] Time 0.205 (0.214) Data 0.064 (0.049) Loss 2.4156 (2.3164) Prec@1 45.703 (47.019) Prec@5 71.094 (72.372)
Epoch: [96][580/5005] Time 0.222 (0.214) Data 0.041 (0.049) Loss 2.4546 (2.3160) Prec@1 45.312 (47.020) Prec@5 69.141 (72.377)
Epoch: [96][590/5005] Time 0.213 (0.214) Data 0.043 (0.049) Loss 2.5077 (2.3157) Prec@1 40.625 (47.017) Prec@5 69.922 (72.376)
Epoch: [96][600/5005] Time 0.214 (0.214) Data 0.044 (0.049) Loss 2.2838 (2.3167) Prec@1 49.609 (47.016) Prec@5 73.438 (72.383)
Epoch: [96][610/5005] Time 0.215 (0.214) Data 0.046 (0.049) Loss 2.1798 (2.3178) Prec@1 50.391 (47.002) Prec@5 75.000 (72.376)
Epoch: [96][620/5005] Time 0.212 (0.214) Data 0.043 (0.049) Loss 2.3039 (2.3178) Prec@1 48.438 (47.013) Prec@5 72.656 (72.385)
Epoch: [96][630/5005] Time 0.218 (0.214) Data 0.041 (0.049) Loss 2.4809 (2.3176) Prec@1 44.922 (47.017) Prec@5 70.312 (72.383)
Epoch: [96][640/5005] Time 0.207 (0.214) Data 0.046 (0.049) Loss 2.1269 (2.3175) Prec@1 48.438 (47.023) Prec@5 75.000 (72.390)
Epoch: [96][650/5005] Time 0.215 (0.214) Data 0.042 (0.049) Loss 2.4096 (2.3181) Prec@1 43.359 (47.020) Prec@5 68.750 (72.378)
Epoch: [96][660/5005] Time 0.216 (0.214) Data 0.044 (0.049) Loss 2.4870 (2.3176) Prec@1 43.750 (47.026) Prec@5 70.703 (72.391)
Epoch: [96][670/5005] Time 0.208 (0.214) Data 0.045 (0.048) Loss 2.4449 (2.3172) Prec@1 46.094 (47.022) Prec@5 73.438 (72.397)
Epoch: [96][680/5005] Time 0.216 (0.214) Data 0.044 (0.048) Loss 2.2683 (2.3170) Prec@1 46.484 (47.021) Prec@5 76.562 (72.403)
Epoch: [96][690/5005] Time 0.210 (0.214) Data 0.036 (0.048) Loss 2.1743 (2.3163) Prec@1 48.047 (47.023) Prec@5 77.344 (72.430)
Epoch: [96][700/5005] Time 0.215 (0.214) Data 0.050 (0.048) Loss 2.3658 (2.3160) Prec@1 46.094 (47.023) Prec@5 69.922 (72.429)
Epoch: [96][710/5005] Time 0.214 (0.214) Data 0.042 (0.048) Loss 2.1413 (2.3156) Prec@1 51.562 (47.041) Prec@5 76.172 (72.429)
Epoch: [96][720/5005] Time 0.216 (0.214) Data 0.043 (0.048) Loss 2.2092 (2.3149) Prec@1 48.047 (47.056) Prec@5 74.219 (72.436)
Epoch: [96][730/5005] Time 0.208 (0.214) Data 0.048 (0.048) Loss 2.4941 (2.3152) Prec@1 42.969 (47.055) Prec@5 70.703 (72.433)
Epoch: [96][740/5005] Time 0.211 (0.214) Data 0.049 (0.048) Loss 2.2780 (2.3152) Prec@1 48.438 (47.065) Prec@5 72.266 (72.418)
Epoch: [96][750/5005] Time 0.205 (0.214) Data 0.045 (0.048) Loss 2.1273 (2.3146) Prec@1 52.344 (47.083) Prec@5 76.172 (72.431)
Epoch: [96][760/5005] Time 0.197 (0.214) Data 0.045 (0.048) Loss 2.1939 (2.3147) Prec@1 46.875 (47.071) Prec@5 74.219 (72.430)
Epoch: [96][770/5005] Time 0.213 (0.214) Data 0.052 (0.048) Loss 2.3358 (2.3133) Prec@1 48.828 (47.098) Prec@5 69.531 (72.442)
Epoch: [96][780/5005] Time 0.222 (0.214) Data 0.047 (0.048) Loss 2.3707 (2.3127) Prec@1 42.969 (47.113) Prec@5 70.312 (72.443)
Epoch: [96][790/5005] Time 0.215 (0.214) Data 0.043 (0.048) Loss 2.3392 (2.3126) Prec@1 48.047 (47.117) Prec@5 69.141 (72.439)
Epoch: [96][800/5005] Time 0.211 (0.214) Data 0.042 (0.048) Loss 2.1757 (2.3118) Prec@1 49.219 (47.121) Prec@5 75.781 (72.464)
Epoch: [96][810/5005] Time 0.212 (0.214) Data 0.044 (0.048) Loss 2.4779 (2.3121) Prec@1 44.141 (47.124) Prec@5 67.188 (72.453)
Epoch: [96][820/5005] Time 0.208 (0.214) Data 0.051 (0.048) Loss 2.3974 (2.3122) Prec@1 48.047 (47.110) Prec@5 73.047 (72.463)
Epoch: [96][830/5005] Time 0.205 (0.214) Data 0.058 (0.048) Loss 2.2129 (2.3122) Prec@1 48.438 (47.111) Prec@5 73.828 (72.474)
Epoch: [96][840/5005] Time 0.203 (0.213) Data 0.044 (0.048) Loss 2.2068 (2.3122) Prec@1 51.172 (47.117) Prec@5 72.266 (72.485)
Epoch: [96][850/5005] Time 0.210 (0.213) Data 0.068 (0.048) Loss 2.3940 (2.3116) Prec@1 43.359 (47.134) Prec@5 71.484 (72.491)
Epoch: [96][860/5005] Time 0.213 (0.213) Data 0.050 (0.048) Loss 2.2649 (2.3120) Prec@1 47.656 (47.132) Prec@5 71.484 (72.472)
Epoch: [96][870/5005] Time 0.225 (0.213) Data 0.042 (0.048) Loss 2.3433 (2.3114) Prec@1 46.875 (47.144) Prec@5 72.656 (72.475)
Epoch: [96][880/5005] Time 0.210 (0.213) Data 0.043 (0.048) Loss 2.1912 (2.3120) Prec@1 45.703 (47.137) Prec@5 73.828 (72.472)
Epoch: [96][890/5005] Time 0.214 (0.213) Data 0.047 (0.048) Loss 2.4864 (2.3113) Prec@1 43.750 (47.147) Prec@5 68.359 (72.473)
Epoch: [96][900/5005] Time 0.210 (0.213) Data 0.043 (0.048) Loss 2.2541 (2.3109) Prec@1 52.344 (47.163) Prec@5 74.609 (72.480)
Epoch: [96][910/5005] Time 0.212 (0.213) Data 0.044 (0.048) Loss 2.2149 (2.3107) Prec@1 48.047 (47.164) Prec@5 76.562 (72.480)
Epoch: [96][920/5005] Time 0.215 (0.213) Data 0.044 (0.048) Loss 2.3032 (2.3103) Prec@1 47.656 (47.176) Prec@5 74.219 (72.505)
Epoch: [96][930/5005] Time 0.203 (0.213) Data 0.045 (0.048) Loss 2.3935 (2.3096) Prec@1 47.266 (47.195) Prec@5 70.703 (72.519)
Epoch: [96][940/5005] Time 0.208 (0.213) Data 0.046 (0.048) Loss 2.2197 (2.3096) Prec@1 50.391 (47.195) Prec@5 73.438 (72.528)
Epoch: [96][950/5005] Time 0.207 (0.213) Data 0.048 (0.048) Loss 2.4278 (2.3106) Prec@1 48.438 (47.180) Prec@5 71.875 (72.517)
Epoch: [96][960/5005] Time 0.206 (0.213) Data 0.042 (0.048) Loss 2.3793 (2.3108) Prec@1 47.656 (47.168) Prec@5 71.484 (72.519)
Epoch: [96][970/5005] Time 0.197 (0.213) Data 0.041 (0.048) Loss 2.2765 (2.3107) Prec@1 47.266 (47.168) Prec@5 74.609 (72.529)
Epoch: [96][980/5005] Time 0.215 (0.213) Data 0.041 (0.048) Loss 2.2135 (2.3099) Prec@1 48.438 (47.180) Prec@5 73.438 (72.538)
Epoch: [96][990/5005] Time 0.204 (0.213) Data 0.049 (0.048) Loss 2.4365 (2.3106) Prec@1 42.188 (47.154) Prec@5 71.094 (72.528)
Epoch: [96][1000/5005] Time 0.198 (0.213) Data 0.046 (0.048) Loss 2.3292 (2.3107) Prec@1 49.219 (47.150) Prec@5 70.312 (72.522)
Epoch: [96][1010/5005] Time 0.218 (0.213) Data 0.044 (0.048) Loss 2.4042 (2.3103) Prec@1 47.656 (47.159) Prec@5 69.141 (72.526)
Epoch: [96][1020/5005] Time 0.215 (0.213) Data 0.044 (0.048) Loss 2.2297 (2.3109) Prec@1 48.047 (47.155) Prec@5 74.609 (72.507)
Epoch: [96][1030/5005] Time 0.202 (0.213) Data 0.047 (0.048) Loss 2.2710 (2.3105) Prec@1 42.188 (47.153) Prec@5 73.828 (72.513)
Epoch: [96][1040/5005] Time 0.206 (0.214) Data 0.045 (0.048) Loss 2.4327 (2.3108) Prec@1 44.531 (47.137) Prec@5 69.141 (72.511)
Epoch: [96][1050/5005] Time 0.192 (0.214) Data 0.045 (0.048) Loss 2.4582 (2.3112) Prec@1 47.656 (47.129) Prec@5 69.141 (72.499)
Epoch: [96][1060/5005] Time 0.205 (0.214) Data 0.046 (0.048) Loss 2.3324 (2.3115) Prec@1 46.875 (47.128) Prec@5 71.094 (72.494)
Epoch: [96][1070/5005] Time 0.217 (0.214) Data 0.042 (0.048) Loss 2.3371 (2.3115) Prec@1 44.922 (47.132) Prec@5 74.219 (72.496)
Epoch: [96][1080/5005] Time 0.196 (0.214) Data 0.043 (0.048) Loss 2.3896 (2.3116) Prec@1 48.828 (47.136) Prec@5 72.656 (72.503)
Epoch: [96][1090/5005] Time 0.213 (0.214) Data 0.043 (0.048) Loss 2.1730 (2.3117) Prec@1 50.000 (47.149) Prec@5 73.438 (72.502)
Epoch: [96][1100/5005] Time 0.215 (0.214) Data 0.044 (0.048) Loss 2.1804 (2.3111) Prec@1 53.516 (47.158) Prec@5 75.781 (72.515)
Epoch: [96][1110/5005] Time 0.214 (0.214) Data 0.045 (0.048) Loss 2.3305 (2.3108) Prec@1 49.219 (47.171) Prec@5 71.094 (72.516)
Epoch: [96][1120/5005] Time 0.215 (0.214) Data 0.043 (0.048) Loss 2.3126 (2.3102) Prec@1 46.094 (47.177) Prec@5 73.438 (72.526)
Epoch: [96][1130/5005] Time 0.216 (0.214) Data 0.044 (0.048) Loss 2.3698 (2.3102) Prec@1 47.656 (47.181) Prec@5 71.875 (72.535)
Epoch: [96][1140/5005] Time 0.208 (0.214) Data 0.044 (0.048) Loss 2.2413 (2.3100) Prec@1 46.484 (47.183) Prec@5 72.656 (72.538)
Epoch: [96][1150/5005] Time 0.206 (0.214) Data 0.044 (0.048) Loss 2.1956 (2.3093) Prec@1 43.750 (47.187) Prec@5 73.047 (72.547)
Epoch: [96][1160/5005] Time 0.226 (0.214) Data 0.042 (0.048) Loss 2.4185 (2.3093) Prec@1 44.141 (47.192) Prec@5 71.875 (72.543)
Epoch: [96][1170/5005] Time 0.208 (0.214) Data 0.043 (0.048) Loss 2.3908 (2.3093) Prec@1 46.875 (47.196) Prec@5 73.828 (72.547)
Epoch: [96][1180/5005] Time 0.212 (0.214) Data 0.044 (0.048) Loss 2.4284 (2.3095) Prec@1 44.141 (47.183) Prec@5 69.922 (72.548)
Epoch: [96][1190/5005] Time 0.213 (0.214) Data 0.042 (0.048) Loss 2.1615 (2.3091) Prec@1 49.219 (47.196) Prec@5 76.562 (72.556)
Epoch: [96][1200/5005] Time 0.214 (0.214) Data 0.042 (0.048) Loss 2.3671 (2.3092) Prec@1 44.141 (47.194) Prec@5 73.047 (72.560)
Epoch: [96][1210/5005] Time 0.211 (0.214) Data 0.043 (0.047) Loss 2.3891 (2.3095) Prec@1 43.750 (47.184) Prec@5 71.094 (72.553)
Epoch: [96][1220/5005] Time 0.206 (0.214) Data 0.041 (0.047) Loss 2.1855 (2.3093) Prec@1 50.391 (47.192) Prec@5 75.000 (72.558)
Epoch: [96][1230/5005] Time 0.202 (0.214) Data 0.047 (0.047) Loss 2.2344 (2.3093) Prec@1 48.438 (47.182) Prec@5 73.047 (72.555)
Epoch: [96][1240/5005] Time 0.207 (0.214) Data 0.042 (0.047) Loss 2.2980 (2.3095) Prec@1 48.047 (47.183) Prec@5 73.828 (72.546)
Epoch: [96][1250/5005] Time 0.220 (0.214) Data 0.046 (0.047) Loss 2.5610 (2.3099) Prec@1 42.188 (47.173) Prec@5 67.188 (72.534)
Epoch: [96][1260/5005] Time 0.218 (0.213) Data 0.041 (0.047) Loss 2.0882 (2.3091) Prec@1 50.391 (47.184) Prec@5 74.609 (72.554)
Epoch: [96][1270/5005] Time 0.212 (0.213) Data 0.041 (0.047) Loss 2.4009 (2.3099) Prec@1 47.266 (47.174) Prec@5 70.312 (72.531)
Epoch: [96][1280/5005] Time 0.216 (0.213) Data 0.044 (0.047) Loss 2.4012 (2.3102) Prec@1 45.703 (47.176) Prec@5 70.312 (72.530)
Epoch: [96][1290/5005] Time 0.204 (0.213) Data 0.042 (0.047) Loss 2.0847 (2.3101) Prec@1 49.609 (47.175) Prec@5 73.047 (72.534)
Epoch: [96][1300/5005] Time 0.212 (0.213) Data 0.046 (0.047) Loss 2.2527 (2.3097) Prec@1 52.344 (47.181) Prec@5 73.047 (72.539)
Epoch: [96][1310/5005] Time 0.205 (0.213) Data 0.044 (0.047) Loss 2.2973 (2.3093) Prec@1 47.266 (47.187) Prec@5 74.609 (72.547)
Epoch: [96][1320/5005] Time 0.211 (0.213) Data 0.043 (0.047) Loss 2.3588 (2.3090) Prec@1 48.438 (47.201) Prec@5 71.875 (72.553)
Epoch: [96][1330/5005] Time 0.202 (0.213) Data 0.041 (0.047) Loss 2.4076 (2.3092) Prec@1 46.094 (47.199) Prec@5 71.484 (72.551)
Epoch: [96][1340/5005] Time 0.210 (0.213) Data 0.043 (0.047) Loss 2.2378 (2.3088) Prec@1 48.828 (47.203) Prec@5 73.438 (72.561)
Epoch: [96][1350/5005] Time 0.216 (0.213) Data 0.044 (0.047) Loss 2.7429 (2.3091) Prec@1 41.016 (47.192) Prec@5 69.141 (72.558)
Epoch: [96][1360/5005] Time 0.217 (0.213) Data 0.042 (0.047) Loss 2.1216 (2.3088) Prec@1 52.344 (47.197) Prec@5 77.344 (72.560)
Epoch: [96][1370/5005] Time 0.211 (0.213) Data 0.045 (0.047) Loss 2.4499 (2.3086) Prec@1 44.141 (47.193) Prec@5 67.578 (72.563)
Epoch: [96][1380/5005] Time 0.222 (0.213) Data 0.042 (0.047) Loss 2.2227 (2.3086) Prec@1 51.562 (47.201) Prec@5 74.609 (72.563)
Epoch: [96][1390/5005] Time 0.213 (0.213) Data 0.043 (0.047) Loss 2.1852 (2.3085) Prec@1 47.266 (47.200) Prec@5 73.438 (72.565)
Epoch: [96][1400/5005] Time 0.208 (0.213) Data 0.042 (0.047) Loss 2.4080 (2.3078) Prec@1 45.312 (47.213) Prec@5 69.531 (72.575)
Epoch: [96][1410/5005] Time 0.212 (0.213) Data 0.040 (0.047) Loss 2.2861 (2.3077) Prec@1 51.562 (47.216) Prec@5 73.828 (72.576)
Epoch: [96][1420/5005] Time 0.212 (0.213) Data 0.046 (0.047) Loss 2.4030 (2.3078) Prec@1 46.875 (47.217) Prec@5 69.531 (72.573)
Epoch: [96][1430/5005] Time 0.210 (0.213) Data 0.040 (0.047) Loss 1.9796 (2.3077) Prec@1 51.953 (47.222) Prec@5 78.125 (72.579)
Epoch: [96][1440/5005] Time 0.203 (0.213) Data 0.046 (0.047) Loss 2.0280 (2.3075) Prec@1 53.906 (47.227) Prec@5 76.172 (72.581)
Epoch: [96][1450/5005] Time 0.204 (0.213) Data 0.047 (0.047) Loss 2.2310 (2.3076) Prec@1 48.828 (47.227) Prec@5 73.828 (72.577)
Epoch: [96][1460/5005] Time 0.203 (0.213) Data 0.052 (0.047) Loss 2.2555 (2.3076) Prec@1 42.969 (47.220) Prec@5 72.656 (72.578)
Epoch: [96][1470/5005] Time 0.213 (0.213) Data 0.051 (0.047) Loss 2.4884 (2.3078) Prec@1 42.969 (47.225) Prec@5 68.359 (72.577)
Epoch: [96][1480/5005] Time 0.207 (0.213) Data 0.043 (0.047) Loss 2.2153 (2.3082) Prec@1 50.781 (47.218) Prec@5 75.391 (72.573)
Epoch: [96][1490/5005] Time 0.203 (0.213) Data 0.046 (0.047) Loss 2.5333 (2.3079) Prec@1 44.531 (47.219) Prec@5 68.359 (72.578)
Epoch: [96][1500/5005] Time 0.205 (0.213) Data 0.046 (0.047) Loss 2.3163 (2.3076) Prec@1 46.875 (47.220) Prec@5 72.266 (72.584)
Epoch: [96][1510/5005] Time 0.210 (0.213) Data 0.044 (0.047) Loss 2.2244 (2.3076) Prec@1 49.609 (47.218) Prec@5 73.047 (72.586)
Epoch: [96][1520/5005] Time 0.209 (0.213) Data 0.043 (0.047) Loss 2.4412 (2.3074) Prec@1 43.359 (47.227) Prec@5 71.094 (72.589)
Epoch: [96][1530/5005] Time 0.204 (0.213) Data 0.044 (0.047) Loss 2.4299 (2.3075) Prec@1 44.531 (47.219) Prec@5 72.656 (72.591)
Epoch: [96][1540/5005] Time 0.211 (0.213) Data 0.041 (0.047) Loss 2.3820 (2.3076) Prec@1 46.875 (47.213) Prec@5 69.922 (72.587)
Epoch: [96][1550/5005] Time 0.208 (0.213) Data 0.043 (0.047) Loss 2.2019 (2.3074) Prec@1 50.391 (47.220) Prec@5 75.781 (72.589)
Epoch: [96][1560/5005] Time 0.213 (0.213) Data 0.044 (0.047) Loss 2.3165 (2.3076) Prec@1 46.484 (47.218) Prec@5 71.875 (72.585)
Epoch: [96][1570/5005] Time 0.216 (0.213) Data 0.045 (0.047) Loss 2.1661 (2.3071) Prec@1 52.344 (47.227) Prec@5 73.438 (72.587)
Epoch: [96][1580/5005] Time 0.209 (0.213) Data 0.042 (0.047) Loss 2.1946 (2.3073) Prec@1 44.922 (47.219) Prec@5 74.219 (72.577)
Epoch: [96][1590/5005] Time 0.214 (0.213) Data 0.045 (0.047) Loss 2.2855 (2.3074) Prec@1 50.000 (47.212) Prec@5 73.438 (72.574)
Epoch: [96][1600/5005] Time 0.218 (0.213) Data 0.040 (0.047) Loss 2.3302 (2.3075) Prec@1 50.000 (47.211) Prec@5 72.266 (72.574)
Epoch: [96][1610/5005] Time 0.207 (0.213) Data 0.044 (0.047) Loss 2.5049 (2.3076) Prec@1 45.312 (47.215) Prec@5 67.578 (72.573)
Epoch: [96][1620/5005] Time 0.201 (0.213) Data 0.038 (0.047) Loss 2.5172 (2.3072) Prec@1 44.141 (47.226) Prec@5 69.531 (72.577)
Epoch: [96][1630/5005] Time 0.207 (0.213) Data 0.045 (0.047) Loss 2.0947 (2.3073) Prec@1 50.781 (47.229) Prec@5 75.391 (72.571)
Epoch: [96][1640/5005] Time 0.211 (0.213) Data 0.043 (0.047) Loss 2.2963 (2.3075) Prec@1 51.172 (47.230) Prec@5 71.875 (72.569)
Epoch: [96][1650/5005] Time 0.212 (0.213) Data 0.045 (0.047) Loss 2.3702 (2.3076) Prec@1 46.875 (47.233) Prec@5 71.484 (72.570)
Epoch: [96][1660/5005] Time 0.205 (0.213) Data 0.044 (0.047) Loss 2.2267 (2.3069) Prec@1 49.609 (47.252) Prec@5 71.875 (72.577)
Epoch: [96][1670/5005] Time 0.214 (0.213) Data 0.046 (0.047) Loss 2.0818 (2.3070) Prec@1 50.391 (47.251) Prec@5 75.391 (72.578)
Epoch: [96][1680/5005] Time 0.212 (0.213) Data 0.046 (0.047) Loss 2.3933 (2.3074) Prec@1 47.656 (47.249) Prec@5 72.656 (72.574)
Epoch: [96][1690/5005] Time 0.215 (0.213) Data 0.044 (0.047) Loss 2.2053 (2.3071) Prec@1 45.312 (47.249) Prec@5 72.656 (72.578)
Epoch: [96][1700/5005] Time 0.207 (0.213) Data 0.050 (0.047) Loss 2.1443 (2.3067) Prec@1 48.047 (47.260) Prec@5 75.781 (72.584)
Epoch: [96][1710/5005] Time 0.207 (0.213) Data 0.042 (0.047) Loss 2.3046 (2.3061) Prec@1 46.875 (47.266) Prec@5 75.000 (72.595)
Epoch: [96][1720/5005] Time 0.214 (0.213) Data 0.045 (0.047) Loss 2.4439 (2.3061) Prec@1 48.047 (47.264) Prec@5 69.141 (72.595)
Epoch: [96][1730/5005] Time 0.200 (0.212) Data 0.048 (0.047) Loss 2.3290 (2.3062) Prec@1 47.656 (47.262) Prec@5 72.266 (72.596)
Epoch: [96][1740/5005] Time 0.191 (0.212) Data 0.065 (0.047) Loss 2.4627 (2.3061) Prec@1 45.312 (47.270) Prec@5 70.312 (72.596)
Epoch: [96][1750/5005] Time 0.209 (0.212) Data 0.044 (0.047) Loss 2.4371 (2.3061) Prec@1 44.141 (47.272) Prec@5 71.875 (72.603)
Epoch: [96][1760/5005] Time 0.214 (0.212) Data 0.043 (0.047) Loss 1.9942 (2.3061) Prec@1 54.688 (47.272) Prec@5 77.734 (72.599)
Epoch: [96][1770/5005] Time 0.198 (0.212) Data 0.054 (0.047) Loss 2.3783 (2.3059) Prec@1 46.875 (47.279) Prec@5 70.703 (72.604)
Epoch: [96][1780/5005] Time 0.209 (0.212) Data 0.049 (0.047) Loss 2.1814 (2.3058) Prec@1 46.875 (47.277) Prec@5 74.219 (72.610)
Epoch: [96][1790/5005] Time 0.210 (0.212) Data 0.043 (0.047) Loss 2.1559 (2.3055) Prec@1 53.516 (47.288) Prec@5 72.656 (72.615)
Epoch: [96][1800/5005] Time 0.201 (0.212) Data 0.056 (0.047) Loss 2.2394 (2.3054) Prec@1 49.219 (47.302) Prec@5 74.609 (72.616)
Epoch: [96][1810/5005] Time 0.210 (0.212) Data 0.046 (0.047) Loss 2.2136 (2.3050) Prec@1 50.391 (47.310) Prec@5 72.266 (72.624)
Epoch: [96][1820/5005] Time 0.216 (0.212) Data 0.042 (0.047) Loss 2.2584 (2.3048) Prec@1 48.047 (47.314) Prec@5 73.828 (72.629)
Epoch: [96][1830/5005] Time 0.201 (0.212) Data 0.046 (0.047) Loss 2.2457 (2.3043) Prec@1 50.391 (47.323) Prec@5 74.219 (72.638)
Epoch: [96][1840/5005] Time 0.208 (0.212) Data 0.042 (0.047) Loss 2.4140 (2.3042) Prec@1 44.531 (47.328) Prec@5 72.656 (72.636)
Epoch: [96][1850/5005] Time 0.203 (0.212) Data 0.052 (0.047) Loss 2.3572 (2.3040) Prec@1 44.922 (47.330) Prec@5 74.219 (72.634)
Epoch: [96][1860/5005] Time 0.209 (0.212) Data 0.052 (0.047) Loss 2.2096 (2.3040) Prec@1 48.828 (47.330) Prec@5 75.391 (72.639)
Epoch: [96][1870/5005] Time 0.207 (0.212) Data 0.040 (0.047) Loss 2.4285 (2.3042) Prec@1 44.141 (47.325) Prec@5 71.094 (72.640)
Epoch: [96][1880/5005] Time 0.212 (0.212) Data 0.044 (0.047) Loss 2.4511 (2.3042) Prec@1 47.266 (47.331) Prec@5 71.484 (72.639)
Epoch: [96][1890/5005] Time 0.214 (0.212) Data 0.044 (0.047) Loss 2.4173 (2.3040) Prec@1 46.875 (47.330) Prec@5 70.312 (72.641)
Epoch: [96][1900/5005] Time 0.214 (0.212) Data 0.043 (0.047) Loss 2.3221 (2.3044) Prec@1 47.656 (47.320) Prec@5 73.047 (72.638)
Epoch: [96][1910/5005] Time 0.207 (0.212) Data 0.050 (0.047) Loss 2.2011 (2.3044) Prec@1 50.781 (47.318) Prec@5 76.172 (72.639)
Epoch: [96][1920/5005] Time 0.204 (0.212) Data 0.039 (0.047) Loss 2.1739 (2.3041) Prec@1 51.172 (47.323) Prec@5 76.562 (72.646)
Epoch: [96][1930/5005] Time 0.212 (0.212) Data 0.043 (0.047) Loss 2.2173 (2.3039) Prec@1 50.391 (47.335) Prec@5 74.219 (72.652)
Epoch: [96][1940/5005] Time 0.209 (0.212) Data 0.043 (0.047) Loss 2.1309 (2.3035) Prec@1 54.297 (47.341) Prec@5 73.438 (72.659)
Epoch: [96][1950/5005] Time 0.210 (0.212) Data 0.040 (0.047) Loss 2.4198 (2.3034) Prec@1 47.266 (47.346) Prec@5 70.703 (72.663)
Epoch: [96][1960/5005] Time 0.205 (0.212) Data 0.045 (0.047) Loss 2.3058 (2.3032) Prec@1 45.703 (47.350) Prec@5 73.438 (72.667)
Epoch: [96][1970/5005] Time 0.205 (0.212) Data 0.040 (0.047) Loss 2.2623 (2.3033) Prec@1 46.484 (47.351) Prec@5 73.438 (72.663)
Epoch: [96][1980/5005] Time 0.211 (0.212) Data 0.050 (0.047) Loss 2.1444 (2.3031) Prec@1 49.609 (47.359) Prec@5 73.438 (72.666)
Epoch: [96][1990/5005] Time 0.210 (0.213) Data 0.046 (0.047) Loss 2.1714 (2.3030) Prec@1 45.703 (47.361) Prec@5 74.609 (72.670)
Epoch: [96][2000/5005] Time 0.200 (0.213) Data 0.048 (0.047) Loss 2.1373 (2.3033) Prec@1 53.125 (47.360) Prec@5 75.000 (72.665)
Epoch: [96][2010/5005] Time 0.186 (0.213) Data 0.066 (0.047) Loss 2.1688 (2.3033) Prec@1 45.312 (47.353) Prec@5 73.828 (72.668)
Epoch: [96][2020/5005] Time 0.206 (0.213) Data 0.043 (0.047) Loss 2.2787 (2.3034) Prec@1 49.609 (47.349) Prec@5 70.312 (72.664)
Epoch: [96][2030/5005] Time 0.209 (0.213) Data 0.042 (0.047) Loss 2.3460 (2.3035) Prec@1 44.531 (47.348) Prec@5 69.141 (72.660)
Epoch: [96][2040/5005] Time 0.196 (0.212) Data 0.041 (0.047) Loss 2.0927 (2.3034) Prec@1 50.000 (47.348) Prec@5 79.297 (72.667)
Epoch: [96][2050/5005] Time 0.214 (0.212) Data 0.045 (0.047) Loss 2.4262 (2.3032) Prec@1 46.875 (47.346) Prec@5 72.656 (72.672)
Epoch: [96][2060/5005] Time 0.203 (0.212) Data 0.040 (0.047) Loss 2.2981 (2.3032) Prec@1 46.875 (47.342) Prec@5 72.656 (72.672)
Epoch: [96][2070/5005] Time 0.212 (0.212) Data 0.043 (0.047) Loss 2.4619 (2.3035) Prec@1 41.797 (47.339) Prec@5 71.094 (72.665)
Epoch: [96][2080/5005] Time 0.211 (0.212) Data 0.044 (0.047) Loss 2.2481 (2.3034) Prec@1 49.219 (47.342) Prec@5 72.656 (72.670)
Epoch: [96][2090/5005] Time 0.206 (0.212) Data 0.045 (0.047) Loss 2.1629 (2.3031) Prec@1 48.438 (47.344) Prec@5 74.609 (72.677)
Epoch: [96][2100/5005] Time 0.204 (0.212) Data 0.048 (0.047) Loss 2.4181 (2.3029) Prec@1 44.141 (47.345) Prec@5 73.438 (72.683)
Epoch: [96][2110/5005] Time 0.218 (0.212) Data 0.051 (0.047) Loss 2.1754 (2.3030) Prec@1 50.391 (47.346) Prec@5 75.391 (72.680)
Epoch: [96][2120/5005] Time 0.217 (0.212) Data 0.048 (0.047) Loss 2.3231 (2.3028) Prec@1 47.656 (47.349) Prec@5 73.828 (72.686)
Epoch: [96][2130/5005] Time 0.204 (0.212) Data 0.051 (0.047) Loss 2.2960 (2.3024) Prec@1 46.875 (47.355) Prec@5 69.922 (72.691)
Epoch: [96][2140/5005] Time 0.218 (0.212) Data 0.042 (0.047) Loss 2.1543 (2.3024) Prec@1 50.391 (47.358) Prec@5 74.609 (72.691)
Epoch: [96][2150/5005] Time 0.215 (0.212) Data 0.042 (0.047) Loss 2.0981 (2.3024) Prec@1 53.125 (47.355) Prec@5 76.562 (72.690)
Epoch: [96][2160/5005] Time 0.212 (0.212) Data 0.046 (0.047) Loss 2.1959 (2.3023) Prec@1 46.484 (47.359) Prec@5 74.609 (72.694)
Epoch: [96][2170/5005] Time 0.203 (0.212) Data 0.042 (0.047) Loss 2.1328 (2.3020) Prec@1 49.609 (47.362) Prec@5 73.828 (72.702)
Epoch: [96][2180/5005] Time 0.215 (0.212) Data 0.046 (0.047) Loss 2.3810 (2.3020) Prec@1 51.172 (47.366) Prec@5 67.578 (72.701)
Epoch: [96][2190/5005] Time 0.210 (0.212) Data 0.058 (0.047) Loss 2.5611 (2.3020) Prec@1 44.922 (47.370) Prec@5 67.578 (72.701)
Epoch: [96][2200/5005] Time 0.205 (0.212) Data 0.042 (0.047) Loss 2.3248 (2.3024) Prec@1 46.484 (47.360) Prec@5 69.922 (72.695)
Epoch: [96][2210/5005] Time 0.207 (0.212) Data 0.046 (0.047) Loss 2.3629 (2.3027) Prec@1 45.703 (47.358) Prec@5 71.484 (72.692)
Epoch: [96][2220/5005] Time 0.220 (0.212) Data 0.042 (0.047) Loss 2.4613 (2.3025) Prec@1 44.531 (47.359) Prec@5 67.969 (72.694)
Epoch: [96][2230/5005] Time 0.207 (0.212) Data 0.049 (0.047) Loss 2.3362 (2.3025) Prec@1 46.875 (47.364) Prec@5 74.609 (72.695)
Epoch: [96][2240/5005] Time 0.211 (0.212) Data 0.041 (0.047) Loss 2.3148 (2.3025) Prec@1 48.828 (47.361) Prec@5 74.219 (72.696)
Epoch: [96][2250/5005] Time 0.201 (0.212) Data 0.049 (0.047) Loss 2.0622 (2.3025) Prec@1 50.000 (47.361) Prec@5 79.297 (72.698)
Epoch: [96][2260/5005] Time 0.207 (0.212) Data 0.046 (0.047) Loss 2.1582 (2.3021) Prec@1 53.906 (47.368) Prec@5 75.391 (72.707)
Epoch: [96][2270/5005] Time 0.198 (0.212) Data 0.042 (0.047) Loss 2.4087 (2.3018) Prec@1 42.969 (47.373) Prec@5 70.312 (72.714)
Epoch: [96][2280/5005] Time 0.205 (0.212) Data 0.051 (0.047) Loss 2.4135 (2.3018) Prec@1 44.141 (47.377) Prec@5 72.656 (72.716)
Epoch: [96][2290/5005] Time 0.209 (0.212) Data 0.043 (0.047) Loss 2.2511 (2.3017) Prec@1 46.875 (47.381) Prec@5 71.484 (72.718)
Epoch: [96][2300/5005] Time 0.213 (0.212) Data 0.045 (0.047) Loss 2.1929 (2.3016) Prec@1 46.875 (47.386) Prec@5 72.656 (72.719)
Epoch: [96][2310/5005] Time 0.207 (0.212) Data 0.042 (0.047) Loss 2.1280 (2.3015) Prec@1 54.297 (47.395) Prec@5 72.266 (72.722)
Epoch: [96][2320/5005] Time 0.212 (0.212) Data 0.044 (0.047) Loss 2.5092 (2.3014) Prec@1 42.578 (47.393) Prec@5 69.141 (72.724)
Epoch: [96][2330/5005] Time 0.208 (0.212) Data 0.048 (0.047) Loss 2.2581 (2.3013) Prec@1 48.828 (47.398) Prec@5 75.000 (72.726)
Epoch: [96][2340/5005] Time 0.208 (0.212) Data 0.054 (0.047) Loss 2.3839 (2.3010) Prec@1 43.750 (47.402) Prec@5 71.484 (72.731)
Epoch: [96][2350/5005] Time 0.200 (0.212) Data 0.047 (0.047) Loss 2.3782 (2.3011) Prec@1 46.875 (47.399) Prec@5 69.531 (72.732)
Epoch: [96][2360/5005] Time 0.209 (0.212) Data 0.053 (0.047) Loss 2.3614 (2.3011) Prec@1 47.266 (47.396) Prec@5 69.922 (72.730)
Epoch: [96][2370/5005] Time 0.196 (0.212) Data 0.050 (0.047) Loss 2.4333 (2.3014) Prec@1 44.922 (47.392) Prec@5 69.531 (72.725)
Epoch: [96][2380/5005] Time 0.205 (0.212) Data 0.048 (0.047) Loss 2.2122 (2.3012) Prec@1 50.391 (47.394) Prec@5 75.000 (72.731)
Epoch: [96][2390/5005] Time 0.214 (0.212) Data 0.044 (0.047) Loss 2.3935 (2.3012) Prec@1 41.797 (47.392) Prec@5 72.266 (72.733)
Epoch: [96][2400/5005] Time 0.209 (0.212) Data 0.044 (0.047) Loss 2.2194 (2.3011) Prec@1 48.828 (47.391) Prec@5 73.828 (72.734)
Epoch: [96][2410/5005] Time 0.208 (0.212) Data 0.042 (0.047) Loss 2.3891 (2.3012) Prec@1 47.656 (47.392) Prec@5 71.094 (72.732)
Epoch: [96][2420/5005] Time 0.208 (0.212) Data 0.041 (0.047) Loss 2.3126 (2.3010) Prec@1 49.609 (47.397) Prec@5 72.656 (72.740)
Epoch: [96][2430/5005] Time 0.199 (0.212) Data 0.047 (0.047) Loss 2.2567 (2.3010) Prec@1 50.000 (47.398) Prec@5 70.703 (72.738)
Epoch: [96][2440/5005] Time 0.205 (0.212) Data 0.038 (0.047) Loss 2.1824 (2.3011) Prec@1 52.344 (47.397) Prec@5 73.828 (72.735)
Epoch: [96][2450/5005] Time 0.212 (0.212) Data 0.046 (0.047) Loss 2.1286 (2.3009) Prec@1 51.562 (47.403) Prec@5 75.781 (72.739)
Epoch: [96][2460/5005] Time 0.209 (0.212) Data 0.044 (0.047) Loss 2.3188 (2.3009) Prec@1 48.047 (47.402) Prec@5 71.484 (72.741)
Epoch: [96][2470/5005] Time 0.212 (0.212) Data 0.045 (0.047) Loss 2.1639 (2.3007) Prec@1 47.656 (47.406) Prec@5 72.266 (72.748)
Epoch: [96][2480/5005] Time 0.202 (0.212) Data 0.050 (0.047) Loss 2.3504 (2.3008) Prec@1 46.484 (47.405) Prec@5 71.875 (72.748)
Epoch: [96][2490/5005] Time 0.221 (0.212) Data 0.041 (0.047) Loss 2.0051 (2.3009) Prec@1 50.781 (47.400) Prec@5 80.469 (72.751)
Epoch: [96][2500/5005] Time 0.209 (0.212) Data 0.052 (0.047) Loss 2.4079 (2.3007) Prec@1 45.703 (47.403) Prec@5 69.922 (72.755)
Epoch: [96][2510/5005] Time 0.217 (0.212) Data 0.045 (0.047) Loss 2.4113 (2.3007) Prec@1 44.141 (47.398) Prec@5 72.656 (72.756)
Epoch: [96][2520/5005] Time 0.209 (0.212) Data 0.051 (0.047) Loss 2.1534 (2.3007) Prec@1 49.219 (47.400) Prec@5 75.000 (72.756)
Epoch: [96][2530/5005] Time 0.208 (0.212) Data 0.042 (0.047) Loss 2.4962 (2.3007) Prec@1 42.578 (47.399) Prec@5 69.531 (72.756)
Epoch: [96][2540/5005] Time 0.214 (0.212) Data 0.042 (0.047) Loss 2.2445 (2.3006) Prec@1 44.141 (47.399) Prec@5 74.219 (72.758)
Epoch: [96][2550/5005] Time 0.201 (0.212) Data 0.044 (0.047) Loss 2.3383 (2.3007) Prec@1 44.922 (47.398) Prec@5 74.609 (72.761)
Epoch: [96][2560/5005] Time 0.212 (0.212) Data 0.046 (0.047) Loss 2.4803 (2.3008) Prec@1 42.188 (47.387) Prec@5 70.703 (72.760)
Epoch: [96][2570/5005] Time 0.213 (0.212) Data 0.043 (0.047) Loss 2.2756 (2.3008) Prec@1 47.266 (47.389) Prec@5 73.047 (72.762)
Epoch: [96][2580/5005] Time 0.205 (0.212) Data 0.051 (0.047) Loss 2.3907 (2.3011) Prec@1 48.438 (47.383) Prec@5 67.969 (72.756)
Epoch: [96][2590/5005] Time 0.202 (0.212) Data 0.041 (0.047) Loss 2.3451 (2.3009) Prec@1 44.922 (47.390) Prec@5 72.656 (72.757)
Epoch: [96][2600/5005] Time 0.203 (0.212) Data 0.041 (0.047) Loss 2.3763 (2.3011) Prec@1 46.484 (47.388) Prec@5 70.312 (72.754)
Epoch: [96][2610/5005] Time 0.217 (0.212) Data 0.044 (0.047) Loss 2.4880 (2.3009) Prec@1 45.312 (47.394) Prec@5 68.359 (72.760)
Epoch: [96][2620/5005] Time 0.215 (0.212) Data 0.044 (0.047) Loss 2.1658 (2.3009) Prec@1 47.266 (47.393) Prec@5 74.609 (72.761)
Epoch: [96][2630/5005] Time 0.201 (0.212) Data 0.047 (0.047) Loss 2.4869 (2.3013) Prec@1 44.531 (47.389) Prec@5 69.531 (72.751)
Epoch: [96][2640/5005] Time 0.197 (0.212) Data 0.046 (0.047) Loss 2.4531 (2.3013) Prec@1 45.312 (47.387) Prec@5 67.969 (72.751)
Epoch: [96][2650/5005] Time 0.214 (0.212) Data 0.043 (0.047) Loss 2.5816 (2.3013) Prec@1 44.141 (47.385) Prec@5 68.750 (72.750)
Epoch: [96][2660/5005] Time 0.215 (0.211) Data 0.041 (0.047) Loss 2.2104 (2.3012) Prec@1 48.438 (47.386) Prec@5 74.219 (72.750)
Epoch: [96][2670/5005] Time 0.207 (0.211) Data 0.048 (0.047) Loss 2.1319 (2.3008) Prec@1 49.219 (47.395) Prec@5 73.828 (72.755)
Epoch: [96][2680/5005] Time 0.208 (0.211) Data 0.041 (0.047) Loss 2.1211 (2.3007) Prec@1 52.734 (47.395) Prec@5 74.609 (72.754)
Epoch: [96][2690/5005] Time 0.214 (0.211) Data 0.042 (0.047) Loss 2.1628 (2.3006) Prec@1 47.656 (47.398) Prec@5 75.391 (72.759)
Epoch: [96][2700/5005] Time 0.209 (0.211) Data 0.042 (0.047) Loss 2.3122 (2.3006) Prec@1 44.141 (47.392) Prec@5 71.875 (72.759)
Epoch: [96][2710/5005] Time 0.214 (0.211) Data 0.043 (0.047) Loss 2.2299 (2.3008) Prec@1 48.047 (47.388) Prec@5 72.656 (72.754)
Epoch: [96][2720/5005] Time 0.211 (0.211) Data 0.057 (0.047) Loss 2.2784 (2.3008) Prec@1 50.391 (47.388) Prec@5 72.656 (72.753)
Epoch: [96][2730/5005] Time 0.208 (0.211) Data 0.046 (0.047) Loss 2.3848 (2.3006) Prec@1 46.875 (47.394) Prec@5 71.875 (72.761)
Epoch: [96][2740/5005] Time 0.214 (0.211) Data 0.048 (0.047) Loss 2.3039 (2.3004) Prec@1 48.828 (47.397) Prec@5 70.703 (72.759)
Epoch: [96][2750/5005] Time 0.211 (0.211) Data 0.043 (0.047) Loss 2.2791 (2.3003) Prec@1 43.750 (47.399) Prec@5 72.656 (72.759)
Epoch: [96][2760/5005] Time 0.207 (0.211) Data 0.041 (0.047) Loss 2.2181 (2.3001) Prec@1 51.562 (47.401) Prec@5 71.484 (72.765)
Epoch: [96][2770/5005] Time 0.209 (0.211) Data 0.047 (0.047) Loss 2.2440 (2.3002) Prec@1 47.266 (47.400) Prec@5 73.438 (72.766)
Epoch: [96][2780/5005] Time 0.215 (0.211) Data 0.055 (0.047) Loss 2.4432 (2.3001) Prec@1 45.703 (47.404) Prec@5 69.922 (72.766)
Epoch: [96][2790/5005] Time 0.205 (0.211) Data 0.046 (0.047) Loss 2.5040 (2.3001) Prec@1 39.844 (47.405) Prec@5 71.094 (72.765)
Epoch: [96][2800/5005] Time 0.203 (0.211) Data 0.058 (0.047) Loss 2.0543 (2.3001) Prec@1 53.125 (47.404) Prec@5 76.562 (72.769)
Epoch: [96][2810/5005] Time 0.213 (0.211) Data 0.044 (0.047) Loss 2.5191 (2.3000) Prec@1 42.578 (47.401) Prec@5 69.141 (72.770)
Epoch: [96][2820/5005] Time 0.204 (0.211) Data 0.048 (0.047) Loss 2.0752 (2.2999) Prec@1 49.219 (47.402) Prec@5 76.562 (72.773)
Epoch: [96][2830/5005] Time 0.212 (0.211) Data 0.044 (0.047) Loss 2.5423 (2.3000) Prec@1 43.359 (47.402) Prec@5 69.922 (72.774)
Epoch: [96][2840/5005] Time 0.201 (0.211) Data 0.055 (0.047) Loss 2.3425 (2.3000) Prec@1 45.703 (47.401) Prec@5 70.312 (72.775)
Epoch: [96][2850/5005] Time 0.216 (0.211) Data 0.042 (0.047) Loss 2.0944 (2.2998) Prec@1 51.953 (47.407) Prec@5 74.609 (72.780)
Epoch: [96][2860/5005] Time 0.206 (0.211) Data 0.044 (0.047) Loss 2.3698 (2.3000) Prec@1 46.484 (47.403) Prec@5 71.484 (72.776)
Epoch: [96][2870/5005] Time 0.198 (0.211) Data 0.044 (0.047) Loss 2.2541 (2.2997) Prec@1 48.438 (47.410) Prec@5 71.875 (72.782)
Epoch: [96][2880/5005] Time 0.209 (0.211) Data 0.047 (0.047) Loss 2.3261 (2.2996) Prec@1 48.047 (47.413) Prec@5 73.047 (72.784)
Epoch: [96][2890/5005] Time 0.212 (0.211) Data 0.042 (0.047) Loss 2.2977 (2.2995) Prec@1 42.969 (47.413) Prec@5 73.047 (72.788)
Epoch: [96][2900/5005] Time 0.207 (0.211) Data 0.045 (0.047) Loss 1.9664 (2.2992) Prec@1 55.469 (47.418) Prec@5 79.297 (72.792)
Epoch: [96][2910/5005] Time 0.200 (0.211) Data 0.044 (0.047) Loss 2.0835 (2.2992) Prec@1 48.828 (47.420) Prec@5 78.906 (72.792)
Epoch: [96][2920/5005] Time 0.209 (0.211) Data 0.046 (0.047) Loss 2.3049 (2.2992) Prec@1 43.359 (47.417) Prec@5 72.266 (72.793)
Epoch: [96][2930/5005] Time 0.216 (0.211) Data 0.048 (0.047) Loss 2.4616 (2.2993) Prec@1 45.312 (47.417) Prec@5 72.266 (72.795)
Epoch: [96][2940/5005] Time 0.211 (0.211) Data 0.048 (0.047) Loss 2.4135 (2.2991) Prec@1 44.922 (47.422) Prec@5 69.531 (72.796)
Epoch: [96][2950/5005] Time 0.208 (0.211) Data 0.046 (0.047) Loss 2.3656 (2.2988) Prec@1 48.438 (47.427) Prec@5 72.656 (72.802)
Epoch: [96][2960/5005] Time 0.206 (0.211) Data 0.045 (0.047) Loss 2.2496 (2.2987) Prec@1 48.047 (47.430) Prec@5 74.609 (72.803)
Epoch: [96][2970/5005] Time 0.213 (0.211) Data 0.043 (0.047) Loss 2.3552 (2.2985) Prec@1 44.141 (47.428) Prec@5 70.312 (72.804)
Epoch: [96][2980/5005] Time 0.207 (0.211) Data 0.046 (0.047) Loss 2.4398 (2.2985) Prec@1 44.531 (47.430) Prec@5 70.312 (72.806)
Epoch: [96][2990/5005] Time 0.215 (0.211) Data 0.048 (0.047) Loss 2.2706 (2.2985) Prec@1 48.828 (47.435) Prec@5 71.484 (72.805)
Epoch: [96][3000/5005] Time 0.208 (0.211) Data 0.044 (0.047) Loss 2.2885 (2.2984) Prec@1 48.828 (47.436) Prec@5 73.438 (72.809)
Epoch: [96][3010/5005] Time 0.211 (0.211) Data 0.048 (0.047) Loss 2.1072 (2.2984) Prec@1 48.828 (47.433) Prec@5 75.781 (72.810)
Epoch: [96][3020/5005] Time 0.215 (0.211) Data 0.046 (0.047) Loss 2.2226 (2.2986) Prec@1 48.438 (47.430) Prec@5 72.656 (72.806)
Epoch: [96][3030/5005] Time 0.207 (0.211) Data 0.047 (0.047) Loss 2.3114 (2.2985) Prec@1 48.438 (47.430) Prec@5 74.219 (72.809)
Epoch: [96][3040/5005] Time 0.209 (0.211) Data 0.048 (0.047) Loss 2.1410 (2.2984) Prec@1 46.875 (47.434) Prec@5 72.656 (72.809)
Epoch: [96][3050/5005] Time 0.214 (0.211) Data 0.049 (0.047) Loss 2.1670 (2.2983) Prec@1 45.703 (47.435) Prec@5 75.000 (72.810)
Epoch: [96][3060/5005] Time 0.210 (0.211) Data 0.040 (0.047) Loss 2.2186 (2.2982) Prec@1 50.391 (47.438) Prec@5 73.438 (72.814)
Epoch: [96][3070/5005] Time 0.212 (0.211) Data 0.045 (0.047) Loss 2.2625 (2.2982) Prec@1 47.266 (47.440) Prec@5 72.266 (72.811)
Epoch: [96][3080/5005] Time 0.202 (0.211) Data 0.038 (0.047) Loss 2.2541 (2.2983) Prec@1 50.000 (47.439) Prec@5 72.656 (72.810)
Epoch: [96][3090/5005] Time 0.221 (0.211) Data 0.052 (0.047) Loss 2.5496 (2.2983) Prec@1 38.672 (47.438) Prec@5 66.797 (72.809)
Epoch: [96][3100/5005] Time 0.196 (0.211) Data 0.050 (0.047) Loss 2.4765 (2.2984) Prec@1 49.219 (47.439) Prec@5 71.484 (72.808)
Epoch: [96][3110/5005] Time 0.205 (0.211) Data 0.044 (0.047) Loss 2.1307 (2.2982) Prec@1 51.172 (47.446) Prec@5 73.828 (72.809)
Epoch: [96][3120/5005] Time 0.199 (0.211) Data 0.042 (0.047) Loss 2.3298 (2.2982) Prec@1 45.312 (47.442) Prec@5 70.312 (72.809)
Epoch: [96][3130/5005] Time 0.211 (0.211) Data 0.044 (0.047) Loss 2.3655 (2.2981) Prec@1 44.531 (47.446) Prec@5 72.266 (72.812)
Epoch: [96][3140/5005] Time 0.207 (0.211) Data 0.042 (0.047) Loss 2.1687 (2.2980) Prec@1 50.781 (47.445) Prec@5 73.047 (72.810)
Epoch: [96][3150/5005] Time 0.199 (0.211) Data 0.044 (0.047) Loss 2.2166 (2.2978) Prec@1 51.172 (47.453) Prec@5 73.438 (72.814)
Epoch: [96][3160/5005] Time 0.215 (0.211) Data 0.042 (0.047) Loss 2.1531 (2.2977) Prec@1 50.781 (47.460) Prec@5 75.000 (72.814)
Epoch: [96][3170/5005] Time 0.207 (0.211) Data 0.044 (0.047) Loss 2.3499 (2.2978) Prec@1 45.703 (47.459) Prec@5 75.391 (72.817)
Epoch: [96][3180/5005] Time 0.203 (0.211) Data 0.051 (0.047) Loss 2.0627 (2.2979) Prec@1 53.516 (47.457) Prec@5 76.562 (72.815)
Epoch: [96][3190/5005] Time 0.201 (0.211) Data 0.053 (0.047) Loss 2.2234 (2.2980) Prec@1 47.266 (47.456) Prec@5 73.828 (72.814)
Epoch: [96][3200/5005] Time 0.209 (0.211) Data 0.040 (0.047) Loss 2.3441 (2.2979) Prec@1 43.359 (47.458) Prec@5 74.609 (72.814)
Epoch: [96][3210/5005] Time 0.215 (0.211) Data 0.042 (0.047) Loss 2.4853 (2.2980) Prec@1 42.578 (47.459) Prec@5 71.094 (72.813)
Epoch: [96][3220/5005] Time 0.209 (0.211) Data 0.046 (0.047) Loss 2.3392 (2.2979) Prec@1 47.266 (47.461) Prec@5 71.875 (72.813)
Epoch: [96][3230/5005] Time 0.208 (0.211) Data 0.044 (0.047) Loss 2.2843 (2.2977) Prec@1 50.000 (47.465) Prec@5 70.312 (72.815)
Epoch: [96][3240/5005] Time 0.206 (0.211) Data 0.052 (0.047) Loss 2.4603 (2.2979) Prec@1 41.797 (47.457) Prec@5 69.922 (72.812)
Epoch: [96][3250/5005] Time 0.206 (0.211) Data 0.044 (0.047) Loss 2.3336 (2.2979) Prec@1 51.172 (47.457) Prec@5 73.828 (72.810)
Epoch: [96][3260/5005] Time 0.207 (0.211) Data 0.044 (0.047) Loss 2.3351 (2.2980) Prec@1 48.828 (47.453) Prec@5 71.875 (72.810)
Epoch: [96][3270/5005] Time 0.203 (0.211) Data 0.041 (0.047) Loss 2.2294 (2.2978) Prec@1 48.828 (47.459) Prec@5 72.266 (72.813)
Epoch: [96][3280/5005] Time 0.210 (0.211) Data 0.043 (0.047) Loss 2.0598 (2.2978) Prec@1 51.172 (47.459) Prec@5 77.734 (72.813)
Epoch: [96][3290/5005] Time 0.215 (0.211) Data 0.044 (0.047) Loss 2.3668 (2.2977) Prec@1 48.438 (47.461) Prec@5 72.266 (72.815)
Epoch: [96][3300/5005] Time 0.208 (0.211) Data 0.044 (0.047) Loss 2.2033 (2.2977) Prec@1 44.531 (47.460) Prec@5 74.219 (72.815)
Epoch: [96][3310/5005] Time 0.207 (0.211) Data 0.048 (0.047) Loss 2.1592 (2.2977) Prec@1 48.047 (47.460) Prec@5 76.953 (72.817)
Epoch: [96][3320/5005] Time 0.210 (0.211) Data 0.042 (0.047) Loss 2.4056 (2.2978) Prec@1 50.000 (47.460) Prec@5 72.266 (72.817)
Epoch: [96][3330/5005] Time 0.205 (0.211) Data 0.053 (0.047) Loss 2.3735 (2.2979) Prec@1 46.875 (47.457) Prec@5 71.875 (72.815)
Epoch: [96][3340/5005] Time 0.207 (0.211) Data 0.052 (0.047) Loss 2.3782 (2.2979) Prec@1 45.703 (47.454) Prec@5 71.875 (72.815)
Epoch: [96][3350/5005] Time 0.206 (0.211) Data 0.045 (0.047) Loss 2.2837 (2.2978) Prec@1 52.734 (47.456) Prec@5 73.047 (72.816)
Epoch: [96][3360/5005] Time 0.207 (0.211) Data 0.043 (0.047) Loss 2.2093 (2.2978) Prec@1 48.438 (47.455) Prec@5 72.656 (72.813)
Epoch: [96][3370/5005] Time 0.201 (0.211) Data 0.042 (0.047) Loss 2.2634 (2.2978) Prec@1 44.922 (47.453) Prec@5 73.438 (72.810)
Epoch: [96][3380/5005] Time 0.206 (0.211) Data 0.043 (0.047) Loss 2.3276 (2.2976) Prec@1 45.703 (47.456) Prec@5 73.047 (72.814)
Epoch: [96][3390/5005] Time 0.208 (0.211) Data 0.044 (0.047) Loss 2.2527 (2.2977) Prec@1 51.562 (47.456) Prec@5 74.609 (72.811)
Epoch: [96][3400/5005] Time 0.217 (0.211) Data 0.043 (0.047) Loss 2.1900 (2.2978) Prec@1 49.609 (47.453) Prec@5 75.781 (72.810)
Epoch: [96][3410/5005] Time 0.200 (0.211) Data 0.043 (0.047) Loss 2.1914 (2.2977) Prec@1 50.000 (47.454) Prec@5 75.000 (72.811)
Epoch: [96][3420/5005] Time 0.212 (0.211) Data 0.043 (0.047) Loss 2.3113 (2.2977) Prec@1 46.094 (47.451) Prec@5 73.438 (72.811)
Epoch: [96][3430/5005] Time 0.207 (0.211) Data 0.051 (0.047) Loss 2.2196 (2.2976) Prec@1 47.266 (47.450) Prec@5 73.438 (72.812)
Epoch: [96][3440/5005] Time 0.199 (0.211) Data 0.064 (0.047) Loss 2.2269 (2.2975) Prec@1 51.172 (47.452) Prec@5 72.266 (72.814)
Epoch: [96][3450/5005] Time 0.205 (0.211) Data 0.062 (0.047) Loss 2.0967 (2.2973) Prec@1 49.609 (47.456) Prec@5 76.562 (72.817)
Epoch: [96][3460/5005] Time 0.202 (0.211) Data 0.045 (0.047) Loss 2.3011 (2.2973) Prec@1 48.828 (47.455) Prec@5 71.875 (72.818)
Epoch: [96][3470/5005] Time 0.209 (0.211) Data 0.039 (0.047) Loss 2.0827 (2.2971) Prec@1 51.562 (47.462) Prec@5 78.125 (72.823)
Epoch: [96][3480/5005] Time 0.199 (0.210) Data 0.047 (0.047) Loss 2.2546 (2.2968) Prec@1 47.266 (47.467) Prec@5 73.047 (72.826)
Epoch: [96][3490/5005] Time 0.209 (0.210) Data 0.047 (0.047) Loss 2.3547 (2.2968) Prec@1 44.531 (47.466) Prec@5 72.656 (72.825)
Epoch: [96][3500/5005] Time 0.207 (0.210) Data 0.051 (0.047) Loss 2.1375 (2.2967) Prec@1 50.391 (47.469) Prec@5 75.000 (72.827)
Epoch: [96][3510/5005] Time 0.202 (0.210) Data 0.044 (0.047) Loss 2.0373 (2.2966) Prec@1 49.609 (47.468) Prec@5 78.516 (72.832)
Epoch: [96][3520/5005] Time 0.208 (0.210) Data 0.046 (0.047) Loss 2.4972 (2.2966) Prec@1 47.656 (47.466) Prec@5 69.531 (72.833)
Epoch: [96][3530/5005] Time 0.204 (0.210) Data 0.047 (0.047) Loss 2.1993 (2.2964) Prec@1 47.656 (47.471) Prec@5 73.828 (72.835)
Epoch: [96][3540/5005] Time 0.205 (0.210) Data 0.043 (0.047) Loss 2.1001 (2.2962) Prec@1 51.562 (47.474) Prec@5 77.734 (72.838)
Epoch: [96][3550/5005] Time 0.207 (0.210) Data 0.046 (0.047) Loss 2.3280 (2.2961) Prec@1 45.703 (47.473) Prec@5 70.703 (72.839)
Epoch: [96][3560/5005] Time 0.214 (0.210) Data 0.045 (0.047) Loss 2.3972 (2.2961) Prec@1 43.750 (47.475) Prec@5 69.141 (72.839)
Epoch: [96][3570/5005] Time 0.202 (0.210) Data 0.056 (0.047) Loss 2.2943 (2.2960) Prec@1 48.438 (47.478) Prec@5 73.438 (72.837)
Epoch: [96][3580/5005] Time 0.207 (0.210) Data 0.044 (0.047) Loss 2.1873 (2.2961) Prec@1 47.266 (47.475) Prec@5 73.828 (72.835)
Epoch: [96][3590/5005] Time 0.210 (0.210) Data 0.054 (0.047) Loss 2.3483 (2.2959) Prec@1 41.797 (47.480) Prec@5 70.312 (72.836)
Epoch: [96][3600/5005] Time 0.202 (0.210) Data 0.046 (0.047) Loss 2.3271 (2.2956) Prec@1 45.312 (47.484) Prec@5 73.438 (72.840)
Epoch: [96][3610/5005] Time 0.215 (0.210) Data 0.044 (0.047) Loss 2.1749 (2.2957) Prec@1 51.172 (47.482) Prec@5 72.656 (72.838)
Epoch: [96][3620/5005] Time 0.199 (0.210) Data 0.046 (0.047) Loss 2.5301 (2.2955) Prec@1 40.625 (47.486) Prec@5 67.969 (72.841)
Epoch: [96][3630/5005] Time 0.198 (0.210) Data 0.063 (0.047) Loss 2.4386 (2.2955) Prec@1 46.484 (47.489) Prec@5 68.359 (72.841)
Epoch: [96][3640/5005] Time 0.205 (0.210) Data 0.046 (0.047) Loss 2.3304 (2.2955) Prec@1 42.969 (47.486) Prec@5 71.094 (72.838)
Epoch: [96][3650/5005] Time 0.199 (0.210) Data 0.053 (0.047) Loss 2.1965 (2.2956) Prec@1 47.656 (47.482) Prec@5 74.219 (72.837)
Epoch: [96][3660/5005] Time 0.209 (0.210) Data 0.053 (0.047) Loss 2.4518 (2.2954) Prec@1 44.531 (47.484) Prec@5 69.141 (72.839)
Epoch: [96][3670/5005] Time 0.209 (0.210) Data 0.044 (0.047) Loss 2.4756 (2.2955) Prec@1 46.484 (47.482) Prec@5 71.094 (72.840)
Epoch: [96][3680/5005] Time 0.214 (0.210) Data 0.043 (0.047) Loss 2.1883 (2.2955) Prec@1 49.219 (47.484) Prec@5 74.219 (72.840)
Epoch: [96][3690/5005] Time 0.208 (0.210) Data 0.041 (0.047) Loss 2.2096 (2.2955) Prec@1 48.828 (47.487) Prec@5 74.609 (72.840)
Epoch: [96][3700/5005] Time 0.209 (0.210) Data 0.049 (0.047) Loss 2.2932 (2.2956) Prec@1 46.484 (47.484) Prec@5 75.000 (72.839)
Epoch: [96][3710/5005] Time 0.210 (0.210) Data 0.042 (0.047) Loss 2.2308 (2.2956) Prec@1 50.000 (47.486) Prec@5 72.266 (72.839)
Epoch: [96][3720/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.3270 (2.2956) Prec@1 48.047 (47.485) Prec@5 73.828 (72.838)
Epoch: [96][3730/5005] Time 0.204 (0.210) Data 0.042 (0.047) Loss 2.2467 (2.2955) Prec@1 51.562 (47.485) Prec@5 75.781 (72.839)
Epoch: [96][3740/5005] Time 0.199 (0.210) Data 0.042 (0.047) Loss 2.2374 (2.2952) Prec@1 50.000 (47.489) Prec@5 74.219 (72.844)
Epoch: [96][3750/5005] Time 0.205 (0.210) Data 0.045 (0.047) Loss 2.1767 (2.2953) Prec@1 51.172 (47.490) Prec@5 76.172 (72.841)
Epoch: [96][3760/5005] Time 0.213 (0.210) Data 0.043 (0.047) Loss 2.3157 (2.2954) Prec@1 46.484 (47.485) Prec@5 71.875 (72.841)
Epoch: [96][3770/5005] Time 0.209 (0.210) Data 0.041 (0.047) Loss 2.3810 (2.2953) Prec@1 48.828 (47.485) Prec@5 69.531 (72.840)
Epoch: [96][3780/5005] Time 0.201 (0.210) Data 0.042 (0.047) Loss 2.1872 (2.2953) Prec@1 49.609 (47.485) Prec@5 73.047 (72.841)
Epoch: [96][3790/5005] Time 0.209 (0.210) Data 0.044 (0.047) Loss 2.4597 (2.2954) Prec@1 47.266 (47.484) Prec@5 69.141 (72.839)
Epoch: [96][3800/5005] Time 0.212 (0.210) Data 0.041 (0.047) Loss 2.2667 (2.2956) Prec@1 48.828 (47.482) Prec@5 73.828 (72.836)
Epoch: [96][3810/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.3056 (2.2957) Prec@1 48.047 (47.478) Prec@5 72.656 (72.835)
Epoch: [96][3820/5005] Time 0.210 (0.210) Data 0.043 (0.047) Loss 2.2258 (2.2956) Prec@1 48.047 (47.478) Prec@5 73.828 (72.838)
Epoch: [96][3830/5005] Time 0.211 (0.210) Data 0.044 (0.047) Loss 2.2095 (2.2953) Prec@1 43.750 (47.481) Prec@5 75.781 (72.842)
Epoch: [96][3840/5005] Time 0.204 (0.210) Data 0.041 (0.047) Loss 2.6120 (2.2955) Prec@1 41.406 (47.478) Prec@5 67.969 (72.838)
Epoch: [96][3850/5005] Time 0.205 (0.210) Data 0.042 (0.047) Loss 2.4364 (2.2954) Prec@1 45.312 (47.477) Prec@5 71.484 (72.839)
Epoch: [96][3860/5005] Time 0.203 (0.210) Data 0.043 (0.047) Loss 2.0208 (2.2954) Prec@1 53.516 (47.477) Prec@5 76.172 (72.838)
Epoch: [96][3870/5005] Time 0.209 (0.210) Data 0.052 (0.047) Loss 2.1900 (2.2955) Prec@1 48.828 (47.472) Prec@5 75.781 (72.836)
Epoch: [96][3880/5005] Time 0.203 (0.210) Data 0.044 (0.047) Loss 2.1817 (2.2955) Prec@1 48.047 (47.472) Prec@5 75.000 (72.837)
Epoch: [96][3890/5005] Time 0.213 (0.210) Data 0.054 (0.047) Loss 2.4422 (2.2955) Prec@1 48.047 (47.470) Prec@5 70.312 (72.837)
Epoch: [96][3900/5005] Time 0.209 (0.210) Data 0.043 (0.047) Loss 2.4804 (2.2955) Prec@1 43.359 (47.468) Prec@5 72.266 (72.837)
Epoch: [96][3910/5005] Time 0.208 (0.210) Data 0.051 (0.047) Loss 2.3900 (2.2955) Prec@1 46.484 (47.471) Prec@5 72.266 (72.838)
Epoch: [96][3920/5005] Time 0.201 (0.210) Data 0.042 (0.047) Loss 2.2669 (2.2955) Prec@1 49.609 (47.468) Prec@5 72.656 (72.834)
Epoch: [96][3930/5005] Time 0.192 (0.210) Data 0.059 (0.047) Loss 2.2109 (2.2953) Prec@1 50.000 (47.470) Prec@5 73.438 (72.837)
Epoch: [96][3940/5005] Time 0.216 (0.210) Data 0.047 (0.047) Loss 2.2330 (2.2953) Prec@1 51.172 (47.471) Prec@5 71.875 (72.837)
Epoch: [96][3950/5005] Time 0.205 (0.210) Data 0.040 (0.047) Loss 2.1917 (2.2952) Prec@1 47.266 (47.475) Prec@5 75.391 (72.840)
Epoch: [96][3960/5005] Time 0.205 (0.210) Data 0.044 (0.047) Loss 2.3268 (2.2951) Prec@1 49.609 (47.480) Prec@5 70.703 (72.841)
Epoch: [96][3970/5005] Time 0.214 (0.210) Data 0.042 (0.047) Loss 2.2899 (2.2951) Prec@1 46.094 (47.480) Prec@5 73.047 (72.842)
Epoch: [96][3980/5005] Time 0.209 (0.210) Data 0.045 (0.047) Loss 2.1083 (2.2950) Prec@1 50.781 (47.481) Prec@5 74.609 (72.841)
Epoch: [96][3990/5005] Time 0.207 (0.210) Data 0.058 (0.047) Loss 2.4037 (2.2951) Prec@1 50.000 (47.477) Prec@5 70.312 (72.839)
Epoch: [96][4000/5005] Time 0.214 (0.210) Data 0.045 (0.047) Loss 2.2329 (2.2952) Prec@1 46.484 (47.475) Prec@5 75.000 (72.839)
Epoch: [96][4010/5005] Time 0.204 (0.210) Data 0.042 (0.047) Loss 2.3415 (2.2951) Prec@1 44.531 (47.481) Prec@5 71.484 (72.841)
Epoch: [96][4020/5005] Time 0.196 (0.210) Data 0.050 (0.047) Loss 2.5045 (2.2951) Prec@1 49.219 (47.481) Prec@5 69.531 (72.840)
Epoch: [96][4030/5005] Time 0.206 (0.210) Data 0.040 (0.047) Loss 2.4567 (2.2953) Prec@1 45.703 (47.478) Prec@5 72.266 (72.836)
Epoch: [96][4040/5005] Time 0.208 (0.210) Data 0.061 (0.047) Loss 2.3168 (2.2956) Prec@1 50.000 (47.475) Prec@5 71.875 (72.833)
Epoch: [96][4050/5005] Time 0.200 (0.210) Data 0.058 (0.047) Loss 2.5064 (2.2955) Prec@1 42.969 (47.478) Prec@5 68.750 (72.834)
Epoch: [96][4060/5005] Time 0.208 (0.210) Data 0.046 (0.047) Loss 2.2226 (2.2954) Prec@1 44.922 (47.477) Prec@5 73.828 (72.837)
Epoch: [96][4070/5005] Time 0.220 (0.210) Data 0.044 (0.047) Loss 2.4888 (2.2955) Prec@1 42.969 (47.473) Prec@5 69.531 (72.837)
Epoch: [96][4080/5005] Time 0.210 (0.210) Data 0.045 (0.047) Loss 2.2088 (2.2955) Prec@1 50.391 (47.473) Prec@5 73.828 (72.837)
Epoch: [96][4090/5005] Time 0.208 (0.210) Data 0.048 (0.047) Loss 2.4987 (2.2954) Prec@1 44.141 (47.474) Prec@5 69.141 (72.838)
Epoch: [96][4100/5005] Time 0.207 (0.210) Data 0.044 (0.047) Loss 2.2267 (2.2954) Prec@1 45.312 (47.471) Prec@5 75.781 (72.838)
Epoch: [96][4110/5005] Time 0.213 (0.210) Data 0.046 (0.047) Loss 2.4365 (2.2953) Prec@1 46.094 (47.470) Prec@5 71.875 (72.841)
Epoch: [96][4120/5005] Time 0.212 (0.210) Data 0.041 (0.047) Loss 2.3182 (2.2952) Prec@1 51.953 (47.470) Prec@5 72.656 (72.844)
Epoch: [96][4130/5005] Time 0.221 (0.210) Data 0.045 (0.047) Loss 2.5670 (2.2953) Prec@1 41.797 (47.469) Prec@5 67.969 (72.843)
Epoch: [96][4140/5005] Time 0.200 (0.210) Data 0.049 (0.047) Loss 2.4263 (2.2952) Prec@1 44.141 (47.468) Prec@5 69.922 (72.843)
Epoch: [96][4150/5005] Time 0.209 (0.210) Data 0.046 (0.047) Loss 2.5119 (2.2953) Prec@1 45.312 (47.470) Prec@5 68.359 (72.843)
Epoch: [96][4160/5005] Time 0.216 (0.210) Data 0.048 (0.047) Loss 2.1533 (2.2953) Prec@1 49.609 (47.470) Prec@5 75.391 (72.842)
Epoch: [96][4170/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.1686 (2.2951) Prec@1 48.828 (47.475) Prec@5 75.000 (72.844)
Epoch: [96][4180/5005] Time 0.209 (0.210) Data 0.043 (0.047) Loss 2.2407 (2.2950) Prec@1 46.875 (47.478) Prec@5 73.828 (72.846)
Epoch: [96][4190/5005] Time 0.198 (0.210) Data 0.065 (0.047) Loss 2.1355 (2.2950) Prec@1 52.734 (47.480) Prec@5 75.000 (72.847)
Epoch: [96][4200/5005] Time 0.210 (0.210) Data 0.043 (0.047) Loss 2.1959 (2.2949) Prec@1 48.828 (47.481) Prec@5 71.875 (72.849)
Epoch: [96][4210/5005] Time 0.203 (0.210) Data 0.045 (0.047) Loss 2.1802 (2.2949) Prec@1 46.094 (47.480) Prec@5 75.781 (72.848)
Epoch: [96][4220/5005] Time 0.217 (0.210) Data 0.046 (0.047) Loss 2.4589 (2.2951) Prec@1 44.531 (47.478) Prec@5 69.141 (72.845)
Epoch: [96][4230/5005] Time 0.209 (0.210) Data 0.057 (0.047) Loss 2.3567 (2.2951) Prec@1 48.047 (47.478) Prec@5 71.094 (72.844)
Epoch: [96][4240/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.1458 (2.2951) Prec@1 48.828 (47.476) Prec@5 76.562 (72.843)
Epoch: [96][4250/5005] Time 0.211 (0.210) Data 0.049 (0.047) Loss 2.0892 (2.2949) Prec@1 52.344 (47.478) Prec@5 74.219 (72.844)
Epoch: [96][4260/5005] Time 0.215 (0.210) Data 0.044 (0.047) Loss 2.2305 (2.2949) Prec@1 45.312 (47.480) Prec@5 74.609 (72.844)
Epoch: [96][4270/5005] Time 0.207 (0.210) Data 0.044 (0.047) Loss 2.4110 (2.2950) Prec@1 46.484 (47.478) Prec@5 71.484 (72.842)
Epoch: [96][4280/5005] Time 0.211 (0.210) Data 0.047 (0.047) Loss 2.3614 (2.2950) Prec@1 50.000 (47.480) Prec@5 71.875 (72.843)
Epoch: [96][4290/5005] Time 0.217 (0.210) Data 0.045 (0.047) Loss 2.4842 (2.2950) Prec@1 43.359 (47.478) Prec@5 71.484 (72.845)
Epoch: [96][4300/5005] Time 0.196 (0.210) Data 0.046 (0.047) Loss 2.1787 (2.2949) Prec@1 46.094 (47.483) Prec@5 76.172 (72.850)
Epoch: [96][4310/5005] Time 0.215 (0.210) Data 0.047 (0.047) Loss 2.1808 (2.2949) Prec@1 50.781 (47.486) Prec@5 76.172 (72.848)
Epoch: [96][4320/5005] Time 0.209 (0.210) Data 0.046 (0.047) Loss 2.2350 (2.2948) Prec@1 50.000 (47.488) Prec@5 73.438 (72.848)
Epoch: [96][4330/5005] Time 0.198 (0.210) Data 0.042 (0.047) Loss 2.1711 (2.2948) Prec@1 50.000 (47.489) Prec@5 75.391 (72.848)
Epoch: [96][4340/5005] Time 0.203 (0.210) Data 0.049 (0.047) Loss 2.4547 (2.2949) Prec@1 43.359 (47.485) Prec@5 71.875 (72.847)
Epoch: [96][4350/5005] Time 0.212 (0.210) Data 0.042 (0.047) Loss 2.3269 (2.2948) Prec@1 46.484 (47.487) Prec@5 74.219 (72.849)
Epoch: [96][4360/5005] Time 0.206 (0.210) Data 0.047 (0.047) Loss 2.1696 (2.2947) Prec@1 48.828 (47.488) Prec@5 73.828 (72.850)
Epoch: [96][4370/5005] Time 0.213 (0.210) Data 0.044 (0.047) Loss 2.2012 (2.2948) Prec@1 53.125 (47.489) Prec@5 75.000 (72.850)
Epoch: [96][4380/5005] Time 0.214 (0.210) Data 0.044 (0.047) Loss 2.2155 (2.2947) Prec@1 47.266 (47.486) Prec@5 72.266 (72.850)
Epoch: [96][4390/5005] Time 0.213 (0.210) Data 0.044 (0.047) Loss 2.3885 (2.2946) Prec@1 49.219 (47.493) Prec@5 71.094 (72.853)
Epoch: [96][4400/5005] Time 0.206 (0.210) Data 0.042 (0.047) Loss 2.1391 (2.2945) Prec@1 53.125 (47.496) Prec@5 75.391 (72.854)
Epoch: [96][4410/5005] Time 0.211 (0.210) Data 0.043 (0.047) Loss 2.3725 (2.2944) Prec@1 41.797 (47.496) Prec@5 73.438 (72.854)
Epoch: [96][4420/5005] Time 0.207 (0.210) Data 0.045 (0.047) Loss 1.9927 (2.2942) Prec@1 53.516 (47.499) Prec@5 76.953 (72.855)
Epoch: [96][4430/5005] Time 0.210 (0.210) Data 0.041 (0.047) Loss 2.2277 (2.2939) Prec@1 47.656 (47.506) Prec@5 73.438 (72.858)
Epoch: [96][4440/5005] Time 0.207 (0.210) Data 0.059 (0.047) Loss 2.4353 (2.2940) Prec@1 48.047 (47.507) Prec@5 73.047 (72.859)
Epoch: [96][4450/5005] Time 0.212 (0.210) Data 0.044 (0.047) Loss 2.2202 (2.2940) Prec@1 44.141 (47.506) Prec@5 75.781 (72.860)
Epoch: [96][4460/5005] Time 0.208 (0.210) Data 0.044 (0.047) Loss 2.3878 (2.2938) Prec@1 48.438 (47.510) Prec@5 71.875 (72.862)
Epoch: [96][4470/5005] Time 0.200 (0.210) Data 0.046 (0.047) Loss 2.1266 (2.2939) Prec@1 51.562 (47.509) Prec@5 76.172 (72.862)
Epoch: [96][4480/5005] Time 0.192 (0.210) Data 0.051 (0.047) Loss 2.1929 (2.2940) Prec@1 46.094 (47.507) Prec@5 74.219 (72.860)
Epoch: [96][4490/5005] Time 0.214 (0.210) Data 0.044 (0.047) Loss 2.2196 (2.2941) Prec@1 48.047 (47.504) Prec@5 75.000 (72.860)
Epoch: [96][4500/5005] Time 0.205 (0.210) Data 0.048 (0.047) Loss 2.2809 (2.2942) Prec@1 48.438 (47.504) Prec@5 74.609 (72.859)
Epoch: [96][4510/5005] Time 0.196 (0.210) Data 0.059 (0.047) Loss 2.2268 (2.2942) Prec@1 47.656 (47.501) Prec@5 73.047 (72.861)
Epoch: [96][4520/5005] Time 0.206 (0.210) Data 0.041 (0.047) Loss 2.2728 (2.2941) Prec@1 46.484 (47.502) Prec@5 73.438 (72.864)
Epoch: [96][4530/5005] Time 0.199 (0.210) Data 0.052 (0.047) Loss 2.2094 (2.2940) Prec@1 47.656 (47.505) Prec@5 76.562 (72.865)
Epoch: [96][4540/5005] Time 0.208 (0.210) Data 0.042 (0.047) Loss 2.3074 (2.2943) Prec@1 49.609 (47.502) Prec@5 71.875 (72.860)
Epoch: [96][4550/5005] Time 0.203 (0.210) Data 0.051 (0.047) Loss 2.3577 (2.2943) Prec@1 47.266 (47.503) Prec@5 70.703 (72.860)
Epoch: [96][4560/5005] Time 0.209 (0.210) Data 0.050 (0.047) Loss 2.3652 (2.2943) Prec@1 47.266 (47.504) Prec@5 72.266 (72.860)
Epoch: [96][4570/5005] Time 0.213 (0.210) Data 0.051 (0.047) Loss 2.3211 (2.2942) Prec@1 47.266 (47.506) Prec@5 73.438 (72.861)
Epoch: [96][4580/5005] Time 0.201 (0.210) Data 0.050 (0.047) Loss 2.3350 (2.2942) Prec@1 44.531 (47.507) Prec@5 70.703 (72.860)
Epoch: [96][4590/5005] Time 0.210 (0.210) Data 0.048 (0.047) Loss 2.1988 (2.2943) Prec@1 47.656 (47.506) Prec@5 75.781 (72.857)
Epoch: [96][4600/5005] Time 0.208 (0.210) Data 0.054 (0.047) Loss 2.0615 (2.2942) Prec@1 53.516 (47.507) Prec@5 77.344 (72.860)
Epoch: [96][4610/5005] Time 0.206 (0.210) Data 0.048 (0.047) Loss 2.1695 (2.2942) Prec@1 48.438 (47.508) Prec@5 73.828 (72.858)
Epoch: [96][4620/5005] Time 0.211 (0.210) Data 0.049 (0.047) Loss 2.1540 (2.2943) Prec@1 53.516 (47.508) Prec@5 75.391 (72.858)
Epoch: [96][4630/5005] Time 0.216 (0.210) Data 0.041 (0.047) Loss 2.0055 (2.2942) Prec@1 54.297 (47.508) Prec@5 76.953 (72.862)
Epoch: [96][4640/5005] Time 0.213 (0.210) Data 0.041 (0.047) Loss 2.2761 (2.2941) Prec@1 52.344 (47.505) Prec@5 70.703 (72.861)
Epoch: [96][4650/5005] Time 0.196 (0.210) Data 0.050 (0.047) Loss 2.2372 (2.2941) Prec@1 46.094 (47.506) Prec@5 74.219 (72.860)
Epoch: [96][4660/5005] Time 0.208 (0.210) Data 0.045 (0.047) Loss 2.6140 (2.2940) Prec@1 40.625 (47.506) Prec@5 67.188 (72.860)
Epoch: [96][4670/5005] Time 0.203 (0.210) Data 0.044 (0.047) Loss 2.0905 (2.2939) Prec@1 53.125 (47.511) Prec@5 73.828 (72.861)
Epoch: [96][4680/5005] Time 0.212 (0.210) Data 0.049 (0.047) Loss 2.1840 (2.2938) Prec@1 48.828 (47.512) Prec@5 76.562 (72.862)
Epoch: [96][4690/5005] Time 0.207 (0.210) Data 0.044 (0.047) Loss 2.3664 (2.2938) Prec@1 46.094 (47.511) Prec@5 69.922 (72.864)
Epoch: [96][4700/5005] Time 0.214 (0.210) Data 0.044 (0.047) Loss 2.2727 (2.2938) Prec@1 46.875 (47.513) Prec@5 73.047 (72.862)
Epoch: [96][4710/5005] Time 0.200 (0.210) Data 0.062 (0.047) Loss 2.2422 (2.2936) Prec@1 48.438 (47.517) Prec@5 74.219 (72.865)
Epoch: [96][4720/5005] Time 0.203 (0.210) Data 0.058 (0.047) Loss 2.1764 (2.2936) Prec@1 50.391 (47.517) Prec@5 77.734 (72.867)
Epoch: [96][4730/5005] Time 0.208 (0.210) Data 0.046 (0.047) Loss 2.2217 (2.2937) Prec@1 46.875 (47.513) Prec@5 75.391 (72.867)
Epoch: [96][4740/5005] Time 0.201 (0.210) Data 0.046 (0.047) Loss 2.1988 (2.2936) Prec@1 44.141 (47.513) Prec@5 71.875 (72.867)
Epoch: [96][4750/5005] Time 0.195 (0.210) Data 0.041 (0.047) Loss 2.2656 (2.2936) Prec@1 46.484 (47.515) Prec@5 72.656 (72.868)
Epoch: [96][4760/5005] Time 0.208 (0.210) Data 0.053 (0.047) Loss 2.5715 (2.2935) Prec@1 44.141 (47.518) Prec@5 69.922 (72.872)
Epoch: [96][4770/5005] Time 0.205 (0.210) Data 0.056 (0.047) Loss 2.1149 (2.2935) Prec@1 55.078 (47.520) Prec@5 75.391 (72.872)
Epoch: [96][4780/5005] Time 0.208 (0.210) Data 0.047 (0.047) Loss 2.3241 (2.2935) Prec@1 49.609 (47.520) Prec@5 74.219 (72.871)
Epoch: [96][4790/5005] Time 0.211 (0.210) Data 0.045 (0.047) Loss 2.5493 (2.2935) Prec@1 42.969 (47.522) Prec@5 69.922 (72.872)
Epoch: [96][4800/5005] Time 0.207 (0.210) Data 0.043 (0.047) Loss 2.3536 (2.2934) Prec@1 44.531 (47.522) Prec@5 72.266 (72.873)
Epoch: [96][4810/5005] Time 0.205 (0.210) Data 0.043 (0.047) Loss 2.5122 (2.2933) Prec@1 41.797 (47.521) Prec@5 68.750 (72.873)
Epoch: [96][4820/5005] Time 0.208 (0.210) Data 0.047 (0.047) Loss 2.3638 (2.2933) Prec@1 48.828 (47.523) Prec@5 71.484 (72.873)
Epoch: [96][4830/5005] Time 0.212 (0.210) Data 0.044 (0.047) Loss 2.3498 (2.2932) Prec@1 46.875 (47.528) Prec@5 67.969 (72.873)
Epoch: [96][4840/5005] Time 0.213 (0.210) Data 0.042 (0.047) Loss 2.1047 (2.2932) Prec@1 48.438 (47.527) Prec@5 75.000 (72.872)
Epoch: [96][4850/5005] Time 0.205 (0.210) Data 0.041 (0.047) Loss 2.2893 (2.2934) Prec@1 42.969 (47.525) Prec@5 75.391 (72.871)
Epoch: [96][4860/5005] Time 0.209 (0.210) Data 0.045 (0.047) Loss 2.3027 (2.2934) Prec@1 46.484 (47.525) Prec@5 71.484 (72.869)
Epoch: [96][4870/5005] Time 0.203 (0.210) Data 0.046 (0.047) Loss 2.2150 (2.2934) Prec@1 52.344 (47.525) Prec@5 73.438 (72.867)
Epoch: [96][4880/5005] Time 0.213 (0.210) Data 0.042 (0.047) Loss 2.1954 (2.2933) Prec@1 50.000 (47.527) Prec@5 71.875 (72.867)
Epoch: [96][4890/5005] Time 0.208 (0.210) Data 0.046 (0.047) Loss 2.3395 (2.2932) Prec@1 49.609 (47.529) Prec@5 72.656 (72.871)
Epoch: [96][4900/5005] Time 0.208 (0.210) Data 0.046 (0.047) Loss 2.2188 (2.2931) Prec@1 47.266 (47.531) Prec@5 76.562 (72.874)
Epoch: [96][4910/5005] Time 0.210 (0.210) Data 0.046 (0.047) Loss 2.4130 (2.2929) Prec@1 48.047 (47.539) Prec@5 73.828 (72.878)
Epoch: [96][4920/5005] Time 0.209 (0.210) Data 0.043 (0.047) Loss 2.1301 (2.2929) Prec@1 50.391 (47.539) Prec@5 76.172 (72.878)
Epoch: [96][4930/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.4905 (2.2928) Prec@1 43.359 (47.541) Prec@5 68.750 (72.881)
Epoch: [96][4940/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.3552 (2.2929) Prec@1 48.828 (47.541) Prec@5 69.531 (72.880)
Epoch: [96][4950/5005] Time 0.208 (0.210) Data 0.040 (0.047) Loss 1.9773 (2.2929) Prec@1 53.516 (47.541) Prec@5 78.125 (72.879)
Epoch: [96][4960/5005] Time 0.200 (0.210) Data 0.059 (0.047) Loss 2.2996 (2.2929) Prec@1 47.656 (47.543) Prec@5 70.703 (72.878)
Epoch: [96][4970/5005] Time 0.210 (0.210) Data 0.043 (0.047) Loss 2.3990 (2.2928) Prec@1 45.703 (47.544) Prec@5 70.703 (72.879)
Epoch: [96][4980/5005] Time 0.211 (0.210) Data 0.043 (0.047) Loss 2.3277 (2.2927) Prec@1 49.609 (47.549) Prec@5 73.438 (72.880)
Epoch: [96][4990/5005] Time 0.203 (0.210) Data 0.022 (0.047) Loss 2.4541 (2.2926) Prec@1 42.188 (47.549) Prec@5 69.531 (72.880)
Epoch: [96][5000/5005] Time 0.205 (0.210) Data 0.021 (0.047) Loss 2.3875 (2.2926) Prec@1 46.875 (47.551) Prec@5 71.875 (72.883)
Test: [0/196] Time 1.662 (1.662) Loss 2.3706 (2.3706) Prec@1 49.219 (49.219) Prec@5 71.484 (71.484)
Test: [10/196] Time 0.042 (0.288) Loss 2.4632 (2.5628) Prec@1 48.828 (43.572) Prec@5 69.922 (68.821)
Test: [20/196] Time 0.047 (0.227) Loss 2.4526 (2.5649) Prec@1 46.484 (43.266) Prec@5 73.047 (69.401)
Test: [30/196] Time 0.051 (0.221) Loss 2.4504 (2.5696) Prec@1 44.922 (43.133) Prec@5 69.922 (69.052)
Test: [40/196] Time 0.782 (0.220) Loss 2.3246 (2.5611) Prec@1 50.781 (43.550) Prec@5 72.656 (69.093)
Test: [50/196] Time 0.042 (0.203) Loss 2.6215 (2.5611) Prec@1 45.703 (43.781) Prec@5 68.750 (69.095)
Test: [60/196] Time 0.503 (0.202) Loss 2.4887 (2.5459) Prec@1 48.047 (44.032) Prec@5 71.875 (69.403)
Test: [70/196] Time 0.044 (0.195) Loss 2.4780 (2.5376) Prec@1 47.266 (44.179) Prec@5 69.141 (69.476)
Test: [80/196] Time 0.044 (0.195) Loss 2.4416 (2.5445) Prec@1 50.781 (44.102) Prec@5 75.000 (69.420)
Test: [90/196] Time 0.275 (0.192) Loss 2.6710 (2.5488) Prec@1 45.312 (44.098) Prec@5 67.188 (69.347)
Test: [100/196] Time 0.288 (0.191) Loss 2.5423 (2.5447) Prec@1 46.875 (44.326) Prec@5 69.141 (69.373)
Test: [110/196] Time 0.046 (0.189) Loss 2.7135 (2.5480) Prec@1 42.969 (44.401) Prec@5 67.188 (69.320)
Test: [120/196] Time 0.046 (0.186) Loss 2.3585 (2.5457) Prec@1 45.703 (44.380) Prec@5 72.656 (69.318)
Test: [130/196] Time 0.042 (0.184) Loss 2.2299 (2.5418) Prec@1 48.047 (44.460) Prec@5 76.172 (69.385)
Test: [140/196] Time 0.402 (0.186) Loss 2.3606 (2.5432) Prec@1 49.219 (44.454) Prec@5 71.484 (69.337)
Test: [150/196] Time 0.044 (0.182) Loss 2.1814 (2.5409) Prec@1 47.656 (44.461) Prec@5 78.125 (69.459)
Test: [160/196] Time 0.251 (0.185) Loss 2.4743 (2.5392) Prec@1 48.438 (44.473) Prec@5 70.312 (69.471)
Test: [170/196] Time 0.196 (0.181) Loss 2.4324 (2.5410) Prec@1 47.266 (44.449) Prec@5 71.484 (69.426)
Test: [180/196] Time 0.226 (0.182) Loss 2.7468 (2.5458) Prec@1 42.969 (44.372) Prec@5 66.016 (69.290)
Test: [190/196] Time 0.041 (0.181) Loss 2.7314 (2.5486) Prec@1 42.578 (44.310) Prec@5 65.234 (69.182)
* Prec@1 44.288 Prec@5 69.188
Learning rate: 1e-06
Epoch: [97][0/5005] Time 1.119 (1.119) Data 1.005 (1.005) Loss 2.2229 (2.2229) Prec@1 49.219 (49.219) Prec@5 73.047 (73.047)
Epoch: [97][10/5005] Time 0.199 (0.286) Data 0.040 (0.133) Loss 2.1829 (2.2927) Prec@1 50.781 (47.692) Prec@5 74.219 (72.585)
Epoch: [97][20/5005] Time 0.204 (0.246) Data 0.047 (0.092) Loss 2.4141 (2.3180) Prec@1 43.750 (46.298) Prec@5 72.266 (72.489)
Epoch: [97][30/5005] Time 0.201 (0.232) Data 0.046 (0.077) Loss 2.1950 (2.2912) Prec@1 49.219 (47.177) Prec@5 72.266 (72.581)
Epoch: [97][40/5005] Time 0.204 (0.225) Data 0.044 (0.070) Loss 2.1734 (2.2969) Prec@1 48.047 (47.104) Prec@5 75.000 (72.628)
Epoch: [97][50/5005] Time 0.198 (0.220) Data 0.042 (0.066) Loss 2.2421 (2.2998) Prec@1 49.609 (46.982) Prec@5 74.609 (72.718)
Epoch: [97][60/5005] Time 0.205 (0.218) Data 0.042 (0.062) Loss 2.2555 (2.3026) Prec@1 45.703 (46.888) Prec@5 70.703 (72.733)
Epoch: [97][70/5005] Time 0.204 (0.216) Data 0.041 (0.060) Loss 2.2753 (2.3131) Prec@1 46.875 (46.732) Prec@5 74.609 (72.684)
Epoch: [97][80/5005] Time 0.211 (0.214) Data 0.046 (0.059) Loss 2.1314 (2.3100) Prec@1 53.516 (46.687) Prec@5 77.344 (72.724)
Epoch: [97][90/5005] Time 0.206 (0.213) Data 0.044 (0.058) Loss 2.3990 (2.3059) Prec@1 47.266 (46.871) Prec@5 71.484 (72.785)
Epoch: [97][100/5005] Time 0.196 (0.211) Data 0.046 (0.057) Loss 2.1522 (2.3063) Prec@1 48.438 (46.844) Prec@5 75.391 (72.757)
Epoch: [97][110/5005] Time 0.193 (0.210) Data 0.054 (0.057) Loss 2.4763 (2.3098) Prec@1 48.047 (46.921) Prec@5 67.969 (72.709)
Epoch: [97][120/5005] Time 0.188 (0.209) Data 0.066 (0.056) Loss 2.3992 (2.3133) Prec@1 44.531 (46.985) Prec@5 71.094 (72.679)
Epoch: [97][130/5005] Time 0.197 (0.209) Data 0.047 (0.056) Loss 2.4177 (2.3118) Prec@1 46.875 (47.060) Prec@5 70.312 (72.710)
Epoch: [97][140/5005] Time 0.197 (0.208) Data 0.041 (0.055) Loss 2.3464 (2.3100) Prec@1 46.484 (47.119) Prec@5 69.922 (72.676)
Epoch: [97][150/5005] Time 0.213 (0.208) Data 0.045 (0.055) Loss 2.3935 (2.3098) Prec@1 46.094 (47.092) Prec@5 69.141 (72.767)
Epoch: [97][160/5005] Time 0.220 (0.208) Data 0.045 (0.054) Loss 2.3499 (2.3136) Prec@1 47.266 (46.994) Prec@5 71.094 (72.724)
Epoch: [97][170/5005] Time 0.221 (0.208) Data 0.044 (0.053) Loss 2.4057 (2.3141) Prec@1 48.438 (46.992) Prec@5 74.609 (72.713)
Epoch: [97][180/5005] Time 0.222 (0.209) Data 0.051 (0.053) Loss 2.4416 (2.3134) Prec@1 44.922 (47.013) Prec@5 68.359 (72.708)
Epoch: [97][190/5005] Time 0.227 (0.209) Data 0.051 (0.053) Loss 2.3092 (2.3179) Prec@1 48.438 (46.963) Prec@5 75.000 (72.621)
Epoch: [97][200/5005] Time 0.216 (0.210) Data 0.046 (0.053) Loss 2.5935 (2.3200) Prec@1 39.062 (46.871) Prec@5 68.359 (72.590)
Epoch: [97][210/5005] Time 0.222 (0.210) Data 0.048 (0.053) Loss 2.1310 (2.3196) Prec@1 49.219 (46.853) Prec@5 78.125 (72.641)
Epoch: [97][220/5005] Time 0.210 (0.211) Data 0.044 (0.053) Loss 2.2837 (2.3184) Prec@1 44.922 (46.877) Prec@5 73.828 (72.667)
Epoch: [97][230/5005] Time 0.223 (0.211) Data 0.058 (0.052) Loss 2.3819 (2.3186) Prec@1 45.703 (46.899) Prec@5 69.531 (72.665)
Epoch: [97][240/5005] Time 0.208 (0.212) Data 0.051 (0.052) Loss 2.2077 (2.3180) Prec@1 45.703 (46.886) Prec@5 71.875 (72.677)
Epoch: [97][250/5005] Time 0.217 (0.212) Data 0.047 (0.052) Loss 2.3453 (2.3152) Prec@1 46.094 (46.915) Prec@5 73.828 (72.750)
Epoch: [97][260/5005] Time 0.219 (0.212) Data 0.044 (0.052) Loss 2.1859 (2.3147) Prec@1 48.047 (46.921) Prec@5 75.391 (72.754)
Epoch: [97][270/5005] Time 0.226 (0.212) Data 0.045 (0.052) Loss 2.2747 (2.3146) Prec@1 45.312 (46.900) Prec@5 75.391 (72.773)
Epoch: [97][280/5005] Time 0.221 (0.213) Data 0.044 (0.051) Loss 2.6201 (2.3164) Prec@1 42.969 (46.871) Prec@5 66.797 (72.716)
Epoch: [97][290/5005] Time 0.218 (0.213) Data 0.043 (0.051) Loss 2.2541 (2.3190) Prec@1 49.609 (46.851) Prec@5 72.266 (72.664)
Epoch: [97][300/5005] Time 0.217 (0.213) Data 0.051 (0.051) Loss 2.1921 (2.3190) Prec@1 51.172 (46.883) Prec@5 75.000 (72.664)
Epoch: [97][310/5005] Time 0.220 (0.213) Data 0.041 (0.051) Loss 2.2323 (2.3167) Prec@1 48.438 (46.955) Prec@5 75.391 (72.701)
Epoch: [97][320/5005] Time 0.222 (0.213) Data 0.042 (0.051) Loss 2.5780 (2.3173) Prec@1 42.578 (46.965) Prec@5 69.531 (72.695)
Epoch: [97][330/5005] Time 0.222 (0.214) Data 0.046 (0.051) Loss 2.1539 (2.3160) Prec@1 50.000 (46.971) Prec@5 74.609 (72.702)
Epoch: [97][340/5005] Time 0.216 (0.214) Data 0.044 (0.051) Loss 2.4433 (2.3189) Prec@1 42.188 (46.927) Prec@5 73.047 (72.638)
Epoch: [97][350/5005] Time 0.223 (0.214) Data 0.046 (0.051) Loss 2.5477 (2.3190) Prec@1 43.359 (46.926) Prec@5 69.141 (72.637)
Epoch: [97][360/5005] Time 0.220 (0.214) Data 0.043 (0.051) Loss 2.4935 (2.3196) Prec@1 42.969 (46.935) Prec@5 70.312 (72.632)
Epoch: [97][370/5005] Time 0.215 (0.214) Data 0.049 (0.051) Loss 2.2827 (2.3185) Prec@1 44.922 (46.911) Prec@5 75.391 (72.658)
Epoch: [97][380/5005] Time 0.214 (0.214) Data 0.046 (0.051) Loss 2.3530 (2.3195) Prec@1 48.828 (46.905) Prec@5 71.484 (72.649)
Epoch: [97][390/5005] Time 0.218 (0.214) Data 0.044 (0.050) Loss 2.2767 (2.3197) Prec@1 48.438 (46.905) Prec@5 73.047 (72.635)
Epoch: [97][400/5005] Time 0.212 (0.214) Data 0.049 (0.050) Loss 2.1702 (2.3184) Prec@1 44.922 (46.871) Prec@5 77.344 (72.671)
Epoch: [97][410/5005] Time 0.229 (0.214) Data 0.048 (0.050) Loss 2.0690 (2.3173) Prec@1 50.781 (46.905) Prec@5 77.344 (72.683)
Epoch: [97][420/5005] Time 0.216 (0.214) Data 0.044 (0.050) Loss 2.2154 (2.3163) Prec@1 49.219 (46.922) Prec@5 73.438 (72.700)
Epoch: [97][430/5005] Time 0.217 (0.214) Data 0.046 (0.050) Loss 2.2338 (2.3170) Prec@1 51.172 (46.934) Prec@5 75.391 (72.676)
Epoch: [97][440/5005] Time 0.221 (0.214) Data 0.053 (0.050) Loss 2.1209 (2.3155) Prec@1 55.078 (46.953) Prec@5 77.344 (72.716)
Epoch: [97][450/5005] Time 0.223 (0.214) Data 0.048 (0.050) Loss 2.1417 (2.3169) Prec@1 46.875 (46.914) Prec@5 75.391 (72.690)
Epoch: [97][460/5005] Time 0.219 (0.214) Data 0.047 (0.050) Loss 2.3849 (2.3179) Prec@1 46.094 (46.880) Prec@5 68.750 (72.653)
Epoch: [97][470/5005] Time 0.215 (0.214) Data 0.060 (0.050) Loss 2.1468 (2.3183) Prec@1 46.094 (46.876) Prec@5 73.828 (72.636)
Epoch: [97][480/5005] Time 0.215 (0.214) Data 0.046 (0.050) Loss 2.2543 (2.3183) Prec@1 48.438 (46.898) Prec@5 73.438 (72.628)
Epoch: [97][490/5005] Time 0.214 (0.214) Data 0.045 (0.050) Loss 2.3209 (2.3185) Prec@1 48.828 (46.873) Prec@5 71.875 (72.609)
Epoch: [97][500/5005] Time 0.212 (0.214) Data 0.046 (0.050) Loss 2.5629 (2.3201) Prec@1 44.141 (46.873) Prec@5 69.141 (72.558)
Epoch: [97][510/5005] Time 0.216 (0.214) Data 0.048 (0.050) Loss 2.5904 (2.3205) Prec@1 39.453 (46.874) Prec@5 67.969 (72.545)
Epoch: [97][520/5005] Time 0.217 (0.215) Data 0.047 (0.050) Loss 2.3742 (2.3195) Prec@1 45.703 (46.901) Prec@5 71.875 (72.553)
Epoch: [97][530/5005] Time 0.204 (0.215) Data 0.063 (0.050) Loss 2.2145 (2.3191) Prec@1 48.828 (46.923) Prec@5 71.484 (72.542)
Epoch: [97][540/5005] Time 0.220 (0.215) Data 0.066 (0.050) Loss 2.4418 (2.3202) Prec@1 42.578 (46.899) Prec@5 67.578 (72.513)
Epoch: [97][550/5005] Time 0.218 (0.215) Data 0.047 (0.050) Loss 2.2382 (2.3195) Prec@1 51.172 (46.926) Prec@5 75.391 (72.509)
Epoch: [97][560/5005] Time 0.209 (0.215) Data 0.050 (0.050) Loss 2.4771 (2.3193) Prec@1 44.531 (46.930) Prec@5 69.922 (72.528)
Epoch: [97][570/5005] Time 0.214 (0.214) Data 0.050 (0.050) Loss 2.4236 (2.3205) Prec@1 42.578 (46.900) Prec@5 69.141 (72.504)
Epoch: [97][580/5005] Time 0.220 (0.214) Data 0.044 (0.050) Loss 2.3025 (2.3197) Prec@1 45.312 (46.920) Prec@5 72.266 (72.508)
Epoch: [97][590/5005] Time 0.214 (0.214) Data 0.054 (0.050) Loss 2.3352 (2.3196) Prec@1 47.656 (46.920) Prec@5 71.875 (72.509)
Epoch: [97][600/5005] Time 0.215 (0.214) Data 0.053 (0.050) Loss 2.2533 (2.3202) Prec@1 47.656 (46.925) Prec@5 76.172 (72.520)
Epoch: [97][610/5005] Time 0.213 (0.214) Data 0.048 (0.051) Loss 2.2512 (2.3202) Prec@1 48.047 (46.929) Prec@5 75.000 (72.507)
Epoch: [97][620/5005] Time 0.216 (0.214) Data 0.063 (0.051) Loss 2.2708 (2.3199) Prec@1 50.000 (46.970) Prec@5 71.484 (72.528)
Epoch: [97][630/5005] Time 0.220 (0.214) Data 0.045 (0.051) Loss 2.4577 (2.3193) Prec@1 45.312 (46.995) Prec@5 67.578 (72.529)
Epoch: [97][640/5005] Time 0.221 (0.214) Data 0.046 (0.050) Loss 2.1168 (2.3184) Prec@1 47.656 (47.015) Prec@5 75.391 (72.547)
Epoch: [97][650/5005] Time 0.207 (0.214) Data 0.050 (0.051) Loss 2.2733 (2.3189) Prec@1 47.656 (47.005) Prec@5 71.094 (72.540)
Epoch: [97][660/5005] Time 0.219 (0.214) Data 0.047 (0.051) Loss 2.4318 (2.3187) Prec@1 45.703 (47.008) Prec@5 72.656 (72.541)
Epoch: [97][670/5005] Time 0.208 (0.214) Data 0.057 (0.051) Loss 2.5344 (2.3189) Prec@1 42.969 (47.015) Prec@5 68.750 (72.528)
Epoch: [97][680/5005] Time 0.209 (0.214) Data 0.045 (0.051) Loss 2.3614 (2.3187) Prec@1 42.969 (47.020) Prec@5 71.094 (72.525)
Epoch: [97][690/5005] Time 0.215 (0.214) Data 0.042 (0.051) Loss 2.2396 (2.3180) Prec@1 48.828 (47.028) Prec@5 75.000 (72.536)
Epoch: [97][700/5005] Time 0.211 (0.214) Data 0.042 (0.050) Loss 2.3001 (2.3177) Prec@1 44.141 (47.044) Prec@5 72.266 (72.545)
Epoch: [97][710/5005] Time 0.218 (0.214) Data 0.042 (0.050) Loss 2.0634 (2.3179) Prec@1 50.781 (47.041) Prec@5 76.172 (72.532)
Epoch: [97][720/5005] Time 0.212 (0.214) Data 0.042 (0.050) Loss 2.1724 (2.3169) Prec@1 48.438 (47.065) Prec@5 75.781 (72.542)
Epoch: [97][730/5005] Time 0.217 (0.214) Data 0.043 (0.050) Loss 2.4578 (2.3168) Prec@1 46.875 (47.067) Prec@5 70.703 (72.543)
Epoch: [97][740/5005] Time 0.211 (0.214) Data 0.047 (0.050) Loss 2.3347 (2.3168) Prec@1 45.703 (47.069) Prec@5 69.141 (72.520)
Epoch: [97][750/5005] Time 0.201 (0.214) Data 0.050 (0.050) Loss 2.1548 (2.3164) Prec@1 50.391 (47.072) Prec@5 74.219 (72.513)
Epoch: [97][760/5005] Time 0.216 (0.214) Data 0.057 (0.050) Loss 2.3818 (2.3169) Prec@1 48.438 (47.074) Prec@5 72.266 (72.497)
Epoch: [97][770/5005] Time 0.209 (0.214) Data 0.043 (0.050) Loss 2.3342 (2.3161) Prec@1 43.750 (47.092) Prec@5 71.484 (72.500)
Epoch: [97][780/5005] Time 0.219 (0.214) Data 0.045 (0.050) Loss 2.4147 (2.3158) Prec@1 48.438 (47.106) Prec@5 68.750 (72.487)
Epoch: [97][790/5005] Time 0.213 (0.214) Data 0.042 (0.050) Loss 2.2373 (2.3155) Prec@1 48.047 (47.110) Prec@5 73.047 (72.489)
Epoch: [97][800/5005] Time 0.217 (0.214) Data 0.043 (0.050) Loss 2.2116 (2.3155) Prec@1 46.875 (47.116) Prec@5 75.391 (72.492)
Epoch: [97][810/5005] Time 0.215 (0.214) Data 0.042 (0.050) Loss 2.3352 (2.3152) Prec@1 48.828 (47.125) Prec@5 71.094 (72.502)
Epoch: [97][820/5005] Time 0.207 (0.214) Data 0.042 (0.050) Loss 2.4327 (2.3152) Prec@1 44.531 (47.128) Prec@5 69.922 (72.508)
Epoch: [97][830/5005] Time 0.206 (0.214) Data 0.050 (0.050) Loss 2.3638 (2.3156) Prec@1 47.656 (47.126) Prec@5 71.875 (72.495)
Epoch: [97][840/5005] Time 0.210 (0.214) Data 0.042 (0.050) Loss 2.2606 (2.3157) Prec@1 51.172 (47.129) Prec@5 73.438 (72.501)
Epoch: [97][850/5005] Time 0.209 (0.214) Data 0.041 (0.050) Loss 2.4327 (2.3152) Prec@1 45.703 (47.146) Prec@5 71.484 (72.502)
Epoch: [97][860/5005] Time 0.200 (0.214) Data 0.047 (0.050) Loss 2.2835 (2.3155) Prec@1 45.312 (47.140) Prec@5 70.703 (72.491)
Epoch: [97][870/5005] Time 0.200 (0.214) Data 0.045 (0.050) Loss 2.2421 (2.3141) Prec@1 48.438 (47.171) Prec@5 71.875 (72.507)
Epoch: [97][880/5005] Time 0.215 (0.214) Data 0.041 (0.050) Loss 2.2872 (2.3145) Prec@1 44.141 (47.162) Prec@5 71.875 (72.504)
Epoch: [97][890/5005] Time 0.212 (0.214) Data 0.045 (0.049) Loss 2.5527 (2.3144) Prec@1 45.703 (47.165) Prec@5 66.797 (72.499)
Epoch: [97][900/5005] Time 0.206 (0.214) Data 0.047 (0.049) Loss 2.2064 (2.3139) Prec@1 47.266 (47.163) Prec@5 74.219 (72.501)
Epoch: [97][910/5005] Time 0.215 (0.214) Data 0.043 (0.049) Loss 2.1610 (2.3137) Prec@1 49.609 (47.167) Prec@5 76.953 (72.501)
Epoch: [97][920/5005] Time 0.216 (0.214) Data 0.045 (0.049) Loss 2.3454 (2.3134) Prec@1 46.484 (47.180) Prec@5 69.531 (72.498)
Epoch: [97][930/5005] Time 0.219 (0.214) Data 0.043 (0.049) Loss 2.4201 (2.3124) Prec@1 46.094 (47.205) Prec@5 67.578 (72.507)
Epoch: [97][940/5005] Time 0.218 (0.214) Data 0.043 (0.049) Loss 2.1455 (2.3126) Prec@1 50.781 (47.214) Prec@5 75.000 (72.509)
Epoch: [97][950/5005] Time 0.210 (0.214) Data 0.048 (0.049) Loss 2.4823 (2.3134) Prec@1 45.703 (47.214) Prec@5 67.969 (72.497)
Epoch: [97][960/5005] Time 0.213 (0.214) Data 0.058 (0.049) Loss 2.5704 (2.3136) Prec@1 42.578 (47.213) Prec@5 69.531 (72.498)
Epoch: [97][970/5005] Time 0.211 (0.214) Data 0.043 (0.049) Loss 2.1519 (2.3135) Prec@1 49.609 (47.213) Prec@5 74.219 (72.497)
Epoch: [97][980/5005] Time 0.205 (0.214) Data 0.057 (0.049) Loss 2.2088 (2.3128) Prec@1 47.266 (47.219) Prec@5 73.438 (72.506)
Epoch: [97][990/5005] Time 0.209 (0.214) Data 0.042 (0.049) Loss 2.4587 (2.3132) Prec@1 44.922 (47.204) Prec@5 72.656 (72.504)
Epoch: [97][1000/5005] Time 0.214 (0.214) Data 0.042 (0.049) Loss 2.2743 (2.3129) Prec@1 50.391 (47.207) Prec@5 74.609 (72.507)
Epoch: [97][1010/5005] Time 0.219 (0.214) Data 0.045 (0.049) Loss 2.3244 (2.3126) Prec@1 46.094 (47.201) Prec@5 73.047 (72.514)
Epoch: [97][1020/5005] Time 0.207 (0.214) Data 0.053 (0.049) Loss 2.1648 (2.3130) Prec@1 52.344 (47.201) Prec@5 75.391 (72.504)
Epoch: [97][1030/5005] Time 0.208 (0.214) Data 0.045 (0.049) Loss 2.3088 (2.3125) Prec@1 46.484 (47.205) Prec@5 73.047 (72.513)
Epoch: [97][1040/5005] Time 0.207 (0.215) Data 0.051 (0.049) Loss 2.3015 (2.3125) Prec@1 46.484 (47.203) Prec@5 72.266 (72.512)
Epoch: [97][1050/5005] Time 0.207 (0.215) Data 0.062 (0.049) Loss 2.5664 (2.3129) Prec@1 44.531 (47.186) Prec@5 68.359 (72.507)
Epoch: [97][1060/5005] Time 0.216 (0.215) Data 0.045 (0.049) Loss 2.4252 (2.3129) Prec@1 46.484 (47.187) Prec@5 73.047 (72.510)
Epoch: [97][1070/5005] Time 0.200 (0.215) Data 0.048 (0.049) Loss 2.2911 (2.3131) Prec@1 43.750 (47.178) Prec@5 73.047 (72.507)
Epoch: [97][1080/5005] Time 0.207 (0.215) Data 0.053 (0.049) Loss 2.3784 (2.3134) Prec@1 46.094 (47.166) Prec@5 72.266 (72.506)
Epoch: [97][1090/5005] Time 0.215 (0.215) Data 0.053 (0.049) Loss 2.1444 (2.3129) Prec@1 46.094 (47.176) Prec@5 74.609 (72.516)
Epoch: [97][1100/5005] Time 0.204 (0.215) Data 0.048 (0.049) Loss 2.3177 (2.3124) Prec@1 46.484 (47.179) Prec@5 73.438 (72.525)
Epoch: [97][1110/5005] Time 0.213 (0.215) Data 0.068 (0.049) Loss 2.3964 (2.3126) Prec@1 43.359 (47.176) Prec@5 70.703 (72.528)
Epoch: [97][1120/5005] Time 0.214 (0.215) Data 0.045 (0.049) Loss 2.1658 (2.3118) Prec@1 51.953 (47.186) Prec@5 73.438 (72.542)
Epoch: [97][1130/5005] Time 0.211 (0.214) Data 0.044 (0.049) Loss 2.3302 (2.3120) Prec@1 45.703 (47.184) Prec@5 73.828 (72.540)
Epoch: [97][1140/5005] Time 0.191 (0.214) Data 0.053 (0.049) Loss 2.2444 (2.3115) Prec@1 45.703 (47.186) Prec@5 74.609 (72.550)
Epoch: [97][1150/5005] Time 0.217 (0.214) Data 0.042 (0.049) Loss 2.3323 (2.3110) Prec@1 45.703 (47.200) Prec@5 72.656 (72.558)
Epoch: [97][1160/5005] Time 0.204 (0.214) Data 0.062 (0.049) Loss 2.3477 (2.3108) Prec@1 46.875 (47.202) Prec@5 72.266 (72.562)
Epoch: [97][1170/5005] Time 0.205 (0.214) Data 0.052 (0.049) Loss 2.2844 (2.3106) Prec@1 45.703 (47.210) Prec@5 71.875 (72.566)
Epoch: [97][1180/5005] Time 0.213 (0.214) Data 0.050 (0.049) Loss 2.4498 (2.3106) Prec@1 39.844 (47.205) Prec@5 67.188 (72.565)
Epoch: [97][1190/5005] Time 0.212 (0.214) Data 0.049 (0.049) Loss 2.1721 (2.3102) Prec@1 48.828 (47.218) Prec@5 74.609 (72.574)
Epoch: [97][1200/5005] Time 0.199 (0.214) Data 0.054 (0.049) Loss 2.4349 (2.3101) Prec@1 47.266 (47.222) Prec@5 71.094 (72.574)
Epoch: [97][1210/5005] Time 0.215 (0.214) Data 0.048 (0.049) Loss 2.2862 (2.3106) Prec@1 45.312 (47.205) Prec@5 73.047 (72.577)
Epoch: [97][1220/5005] Time 0.203 (0.214) Data 0.046 (0.049) Loss 2.2969 (2.3109) Prec@1 49.219 (47.196) Prec@5 72.266 (72.578)
Epoch: [97][1230/5005] Time 0.215 (0.214) Data 0.043 (0.049) Loss 2.2945 (2.3107) Prec@1 48.828 (47.195) Prec@5 73.438 (72.586)
Epoch: [97][1240/5005] Time 0.211 (0.214) Data 0.043 (0.049) Loss 2.3424 (2.3106) Prec@1 48.438 (47.194) Prec@5 71.484 (72.584)
Epoch: [97][1250/5005] Time 0.213 (0.214) Data 0.042 (0.049) Loss 2.5687 (2.3110) Prec@1 43.750 (47.191) Prec@5 65.234 (72.569)
Epoch: [97][1260/5005] Time 0.218 (0.214) Data 0.044 (0.049) Loss 2.1926 (2.3108) Prec@1 48.438 (47.186) Prec@5 73.828 (72.575)
Epoch: [97][1270/5005] Time 0.207 (0.214) Data 0.054 (0.049) Loss 2.3817 (2.3114) Prec@1 44.141 (47.173) Prec@5 70.312 (72.561)
Epoch: [97][1280/5005] Time 0.215 (0.214) Data 0.046 (0.049) Loss 2.1827 (2.3116) Prec@1 50.391 (47.171) Prec@5 76.172 (72.556)
Epoch: [97][1290/5005] Time 0.215 (0.214) Data 0.045 (0.049) Loss 2.0738 (2.3114) Prec@1 49.609 (47.174) Prec@5 74.609 (72.559)
Epoch: [97][1300/5005] Time 0.208 (0.214) Data 0.054 (0.049) Loss 2.2342 (2.3112) Prec@1 51.953 (47.182) Prec@5 72.656 (72.563)
Epoch: [97][1310/5005] Time 0.216 (0.214) Data 0.054 (0.049) Loss 2.2526 (2.3109) Prec@1 47.266 (47.190) Prec@5 75.391 (72.567)
Epoch: [97][1320/5005] Time 0.221 (0.214) Data 0.046 (0.049) Loss 2.3790 (2.3106) Prec@1 51.953 (47.204) Prec@5 72.656 (72.572)
Epoch: [97][1330/5005] Time 0.207 (0.214) Data 0.046 (0.049) Loss 2.4369 (2.3110) Prec@1 48.047 (47.204) Prec@5 69.141 (72.562)
Epoch: [97][1340/5005] Time 0.218 (0.214) Data 0.048 (0.049) Loss 2.2052 (2.3107) Prec@1 51.172 (47.210) Prec@5 73.438 (72.569)
Epoch: [97][1350/5005] Time 0.209 (0.214) Data 0.051 (0.049) Loss 2.6066 (2.3111) Prec@1 42.578 (47.199) Prec@5 67.578 (72.564)
Epoch: [97][1360/5005] Time 0.214 (0.214) Data 0.055 (0.049) Loss 2.2148 (2.3108) Prec@1 49.609 (47.204) Prec@5 76.562 (72.568)
Epoch: [97][1370/5005] Time 0.196 (0.214) Data 0.058 (0.049) Loss 2.2549 (2.3105) Prec@1 48.047 (47.209) Prec@5 77.734 (72.573)
Epoch: [97][1380/5005] Time 0.218 (0.214) Data 0.048 (0.049) Loss 2.3670 (2.3105) Prec@1 46.484 (47.215) Prec@5 74.219 (72.575)
Epoch: [97][1390/5005] Time 0.205 (0.214) Data 0.068 (0.049) Loss 2.1966 (2.3105) Prec@1 49.609 (47.220) Prec@5 75.391 (72.578)
Epoch: [97][1400/5005] Time 0.208 (0.214) Data 0.048 (0.049) Loss 2.3104 (2.3097) Prec@1 44.141 (47.224) Prec@5 73.828 (72.588)
Epoch: [97][1410/5005] Time 0.206 (0.214) Data 0.063 (0.049) Loss 2.3491 (2.3095) Prec@1 47.266 (47.228) Prec@5 71.875 (72.590)
Epoch: [97][1420/5005] Time 0.224 (0.214) Data 0.050 (0.049) Loss 2.5514 (2.3098) Prec@1 41.406 (47.224) Prec@5 69.531 (72.593)
Epoch: [97][1430/5005] Time 0.218 (0.214) Data 0.044 (0.049) Loss 1.9992 (2.3095) Prec@1 50.391 (47.235) Prec@5 77.344 (72.598)
Epoch: [97][1440/5005] Time 0.213 (0.213) Data 0.042 (0.049) Loss 2.0149 (2.3091) Prec@1 51.953 (47.239) Prec@5 78.906 (72.601)
Epoch: [97][1450/5005] Time 0.206 (0.213) Data 0.058 (0.049) Loss 2.2281 (2.3091) Prec@1 51.953 (47.239) Prec@5 74.219 (72.601)
Epoch: [97][1460/5005] Time 0.226 (0.213) Data 0.047 (0.049) Loss 2.3356 (2.3089) Prec@1 43.359 (47.234) Prec@5 71.484 (72.600)
Epoch: [97][1470/5005] Time 0.211 (0.213) Data 0.049 (0.049) Loss 2.3060 (2.3089) Prec@1 47.656 (47.237) Prec@5 74.219 (72.602)
Epoch: [97][1480/5005] Time 0.207 (0.213) Data 0.049 (0.049) Loss 2.1955 (2.3090) Prec@1 50.781 (47.239) Prec@5 75.391 (72.605)
Epoch: [97][1490/5005] Time 0.203 (0.213) Data 0.045 (0.049) Loss 2.4819 (2.3088) Prec@1 45.312 (47.241) Prec@5 67.969 (72.608)
Epoch: [97][1500/5005] Time 0.212 (0.213) Data 0.047 (0.049) Loss 2.2979 (2.3086) Prec@1 49.219 (47.256) Prec@5 72.266 (72.612)
Epoch: [97][1510/5005] Time 0.204 (0.213) Data 0.051 (0.049) Loss 2.2121 (2.3083) Prec@1 46.094 (47.261) Prec@5 74.219 (72.619)
Epoch: [97][1520/5005] Time 0.211 (0.213) Data 0.047 (0.049) Loss 2.4144 (2.3081) Prec@1 47.656 (47.266) Prec@5 74.609 (72.624)
Epoch: [97][1530/5005] Time 0.214 (0.213) Data 0.051 (0.049) Loss 2.4800 (2.3083) Prec@1 45.312 (47.267) Prec@5 69.141 (72.618)
Epoch: [97][1540/5005] Time 0.210 (0.213) Data 0.048 (0.049) Loss 2.4612 (2.3087) Prec@1 42.578 (47.255) Prec@5 66.406 (72.607)
Epoch: [97][1550/5005] Time 0.211 (0.213) Data 0.053 (0.049) Loss 2.1933 (2.3085) Prec@1 47.656 (47.268) Prec@5 75.781 (72.605)
Epoch: [97][1560/5005] Time 0.207 (0.213) Data 0.048 (0.049) Loss 2.1102 (2.3085) Prec@1 49.609 (47.267) Prec@5 74.609 (72.605)
Epoch: [97][1570/5005] Time 0.216 (0.213) Data 0.046 (0.049) Loss 2.0936 (2.3081) Prec@1 53.906 (47.285) Prec@5 73.438 (72.610)
Epoch: [97][1580/5005] Time 0.214 (0.213) Data 0.042 (0.049) Loss 2.0225 (2.3081) Prec@1 53.906 (47.277) Prec@5 79.297 (72.616)
Epoch: [97][1590/5005] Time 0.218 (0.213) Data 0.044 (0.049) Loss 2.2673 (2.3080) Prec@1 49.219 (47.278) Prec@5 69.922 (72.618)
Epoch: [97][1600/5005] Time 0.208 (0.213) Data 0.045 (0.049) Loss 2.3868 (2.3080) Prec@1 46.875 (47.280) Prec@5 71.484 (72.617)
Epoch: [97][1610/5005] Time 0.200 (0.213) Data 0.062 (0.049) Loss 2.3725 (2.3079) Prec@1 47.266 (47.293) Prec@5 71.484 (72.620)
Epoch: [97][1620/5005] Time 0.212 (0.213) Data 0.049 (0.049) Loss 2.4319 (2.3077) Prec@1 45.703 (47.285) Prec@5 73.047 (72.625)
Epoch: [97][1630/5005] Time 0.212 (0.213) Data 0.044 (0.049) Loss 2.2150 (2.3077) Prec@1 48.438 (47.284) Prec@5 75.391 (72.623)
Epoch: [97][1640/5005] Time 0.211 (0.213) Data 0.048 (0.049) Loss 2.3220 (2.3079) Prec@1 50.781 (47.291) Prec@5 71.094 (72.617)
Epoch: [97][1650/5005] Time 0.224 (0.213) Data 0.044 (0.049) Loss 2.4154 (2.3079) Prec@1 44.922 (47.295) Prec@5 66.797 (72.613)
Epoch: [97][1660/5005] Time 0.215 (0.213) Data 0.043 (0.049) Loss 2.3348 (2.3073) Prec@1 45.312 (47.309) Prec@5 73.438 (72.624)
Epoch: [97][1670/5005] Time 0.214 (0.213) Data 0.043 (0.049) Loss 2.0786 (2.3072) Prec@1 52.344 (47.311) Prec@5 74.609 (72.627)
Epoch: [97][1680/5005] Time 0.201 (0.213) Data 0.054 (0.049) Loss 2.3318 (2.3074) Prec@1 48.828 (47.312) Prec@5 70.703 (72.621)
Epoch: [97][1690/5005] Time 0.208 (0.213) Data 0.057 (0.049) Loss 2.2496 (2.3073) Prec@1 49.219 (47.314) Prec@5 71.875 (72.620)
Epoch: [97][1700/5005] Time 0.207 (0.213) Data 0.041 (0.049) Loss 2.2007 (2.3068) Prec@1 50.000 (47.324) Prec@5 78.125 (72.632)
Epoch: [97][1710/5005] Time 0.210 (0.213) Data 0.041 (0.049) Loss 2.3230 (2.3066) Prec@1 48.828 (47.323) Prec@5 72.656 (72.639)
Epoch: [97][1720/5005] Time 0.215 (0.213) Data 0.059 (0.049) Loss 2.3704 (2.3066) Prec@1 47.266 (47.316) Prec@5 73.047 (72.639)
Epoch: [97][1730/5005] Time 0.201 (0.213) Data 0.047 (0.049) Loss 2.2586 (2.3064) Prec@1 43.750 (47.315) Prec@5 73.828 (72.644)
Epoch: [97][1740/5005] Time 0.211 (0.213) Data 0.044 (0.049) Loss 2.4553 (2.3062) Prec@1 45.703 (47.318) Prec@5 71.094 (72.651)
Epoch: [97][1750/5005] Time 0.198 (0.213) Data 0.045 (0.049) Loss 2.4104 (2.3062) Prec@1 41.797 (47.317) Prec@5 68.359 (72.649)
Epoch: [97][1760/5005] Time 0.212 (0.213) Data 0.047 (0.049) Loss 1.9414 (2.3058) Prec@1 50.781 (47.319) Prec@5 78.906 (72.653)
Epoch: [97][1770/5005] Time 0.212 (0.213) Data 0.047 (0.049) Loss 2.3940 (2.3058) Prec@1 44.141 (47.313) Prec@5 71.094 (72.652)
Epoch: [97][1780/5005] Time 0.215 (0.213) Data 0.044 (0.049) Loss 2.1812 (2.3056) Prec@1 49.219 (47.318) Prec@5 73.828 (72.655)
Epoch: [97][1790/5005] Time 0.198 (0.213) Data 0.042 (0.049) Loss 2.1348 (2.3052) Prec@1 51.953 (47.317) Prec@5 74.219 (72.661)
Epoch: [97][1800/5005] Time 0.220 (0.213) Data 0.042 (0.049) Loss 2.3480 (2.3050) Prec@1 44.922 (47.327) Prec@5 70.312 (72.665)
Epoch: [97][1810/5005] Time 0.211 (0.213) Data 0.043 (0.049) Loss 2.2482 (2.3049) Prec@1 47.656 (47.327) Prec@5 74.219 (72.669)
Epoch: [97][1820/5005] Time 0.206 (0.213) Data 0.044 (0.049) Loss 2.2773 (2.3050) Prec@1 46.484 (47.327) Prec@5 73.828 (72.669)
Epoch: [97][1830/5005] Time 0.215 (0.213) Data 0.044 (0.049) Loss 2.1168 (2.3046) Prec@1 50.391 (47.330) Prec@5 75.000 (72.675)
Epoch: [97][1840/5005] Time 0.214 (0.213) Data 0.044 (0.049) Loss 2.3660 (2.3043) Prec@1 44.531 (47.331) Prec@5 71.875 (72.680)
Epoch: [97][1850/5005] Time 0.211 (0.213) Data 0.044 (0.049) Loss 2.3786 (2.3042) Prec@1 46.094 (47.329) Prec@5 73.047 (72.682)
Epoch: [97][1860/5005] Time 0.208 (0.213) Data 0.043 (0.049) Loss 2.1786 (2.3043) Prec@1 51.562 (47.332) Prec@5 74.219 (72.679)
Epoch: [97][1870/5005] Time 0.206 (0.213) Data 0.058 (0.049) Loss 2.5178 (2.3047) Prec@1 42.188 (47.325) Prec@5 72.266 (72.677)
Epoch: [97][1880/5005] Time 0.205 (0.213) Data 0.048 (0.049) Loss 2.3601 (2.3045) Prec@1 48.828 (47.330) Prec@5 70.703 (72.674)
Epoch: [97][1890/5005] Time 0.207 (0.213) Data 0.042 (0.049) Loss 2.4100 (2.3045) Prec@1 47.656 (47.329) Prec@5 69.141 (72.675)
Epoch: [97][1900/5005] Time 0.213 (0.213) Data 0.048 (0.049) Loss 2.3413 (2.3050) Prec@1 48.828 (47.322) Prec@5 70.703 (72.671)
Epoch: [97][1910/5005] Time 0.211 (0.213) Data 0.040 (0.049) Loss 2.3365 (2.3046) Prec@1 46.094 (47.326) Prec@5 73.047 (72.675)
Epoch: [97][1920/5005] Time 0.215 (0.212) Data 0.042 (0.049) Loss 2.1207 (2.3047) Prec@1 48.047 (47.320) Prec@5 76.953 (72.680)
Epoch: [97][1930/5005] Time 0.208 (0.212) Data 0.044 (0.049) Loss 2.2188 (2.3044) Prec@1 49.219 (47.323) Prec@5 72.656 (72.681)
Epoch: [97][1940/5005] Time 0.212 (0.212) Data 0.044 (0.049) Loss 2.1236 (2.3041) Prec@1 47.266 (47.319) Prec@5 74.219 (72.684)
Epoch: [97][1950/5005] Time 0.215 (0.212) Data 0.042 (0.049) Loss 2.4236 (2.3040) Prec@1 43.750 (47.312) Prec@5 68.359 (72.690)
Epoch: [97][1960/5005] Time 0.212 (0.212) Data 0.047 (0.049) Loss 2.3157 (2.3038) Prec@1 43.750 (47.320) Prec@5 73.438 (72.696)
Epoch: [97][1970/5005] Time 0.215 (0.212) Data 0.043 (0.049) Loss 2.2986 (2.3041) Prec@1 46.484 (47.313) Prec@5 72.266 (72.690)
Epoch: [97][1980/5005] Time 0.216 (0.212) Data 0.044 (0.049) Loss 2.1330 (2.3040) Prec@1 50.781 (47.311) Prec@5 73.047 (72.691)
Epoch: [97][1990/5005] Time 0.211 (0.212) Data 0.043 (0.049) Loss 2.2657 (2.3039) Prec@1 46.094 (47.318) Prec@5 71.875 (72.692)
Epoch: [97][2000/5005] Time 0.201 (0.212) Data 0.056 (0.049) Loss 2.2178 (2.3042) Prec@1 48.828 (47.314) Prec@5 75.781 (72.688)
Epoch: [97][2010/5005] Time 0.210 (0.212) Data 0.044 (0.049) Loss 2.2489 (2.3044) Prec@1 44.531 (47.307) Prec@5 71.484 (72.682)
Epoch: [97][2020/5005] Time 0.215 (0.212) Data 0.045 (0.049) Loss 2.3796 (2.3045) Prec@1 47.266 (47.304) Prec@5 71.875 (72.680)
Epoch: [97][2030/5005] Time 0.206 (0.212) Data 0.049 (0.049) Loss 2.3307 (2.3045) Prec@1 47.266 (47.304) Prec@5 72.656 (72.681)
Epoch: [97][2040/5005] Time 0.213 (0.212) Data 0.043 (0.049) Loss 2.1204 (2.3043) Prec@1 52.344 (47.307) Prec@5 76.562 (72.685)
Epoch: [97][2050/5005] Time 0.209 (0.212) Data 0.042 (0.049) Loss 2.4323 (2.3041) Prec@1 44.922 (47.314) Prec@5 70.312 (72.690)
Epoch: [97][2060/5005] Time 0.210 (0.212) Data 0.049 (0.049) Loss 2.2684 (2.3041) Prec@1 41.797 (47.304) Prec@5 71.484 (72.689)
Epoch: [97][2070/5005] Time 0.213 (0.212) Data 0.046 (0.049) Loss 2.4495 (2.3044) Prec@1 44.141 (47.299) Prec@5 67.969 (72.680)
Epoch: [97][2080/5005] Time 0.217 (0.212) Data 0.042 (0.049) Loss 2.3124 (2.3042) Prec@1 49.609 (47.304) Prec@5 71.484 (72.682)
Epoch: [97][2090/5005] Time 0.214 (0.212) Data 0.041 (0.049) Loss 2.1569 (2.3038) Prec@1 47.656 (47.310) Prec@5 78.516 (72.685)
Epoch: [97][2100/5005] Time 0.211 (0.212) Data 0.042 (0.048) Loss 2.5487 (2.3038) Prec@1 39.062 (47.313) Prec@5 68.359 (72.688)
Epoch: [97][2110/5005] Time 0.205 (0.212) Data 0.049 (0.048) Loss 2.1655 (2.3036) Prec@1 50.391 (47.319) Prec@5 75.391 (72.690)
Epoch: [97][2120/5005] Time 0.223 (0.212) Data 0.046 (0.049) Loss 2.3781 (2.3035) Prec@1 46.875 (47.321) Prec@5 71.094 (72.696)
Epoch: [97][2130/5005] Time 0.208 (0.212) Data 0.042 (0.048) Loss 2.3278 (2.3030) Prec@1 48.047 (47.330) Prec@5 71.484 (72.702)
Epoch: [97][2140/5005] Time 0.210 (0.212) Data 0.042 (0.048) Loss 2.0705 (2.3031) Prec@1 50.391 (47.334) Prec@5 76.953 (72.699)
Epoch: [97][2150/5005] Time 0.205 (0.212) Data 0.041 (0.048) Loss 2.1134 (2.3029) Prec@1 51.953 (47.334) Prec@5 76.172 (72.703)
Epoch: [97][2160/5005] Time 0.220 (0.212) Data 0.046 (0.048) Loss 2.2835 (2.3029) Prec@1 47.266 (47.333) Prec@5 73.828 (72.701)
Epoch: [97][2170/5005] Time 0.213 (0.212) Data 0.042 (0.048) Loss 2.0764 (2.3025) Prec@1 48.828 (47.336) Prec@5 74.219 (72.706)
Epoch: [97][2180/5005] Time 0.198 (0.212) Data 0.047 (0.048) Loss 2.3138 (2.3026) Prec@1 50.000 (47.336) Prec@5 71.484 (72.709)
Epoch: [97][2190/5005] Time 0.208 (0.212) Data 0.053 (0.048) Loss 2.4506 (2.3025) Prec@1 44.922 (47.337) Prec@5 67.969 (72.711)
Epoch: [97][2200/5005] Time 0.218 (0.212) Data 0.046 (0.048) Loss 2.3635 (2.3027) Prec@1 41.797 (47.329) Prec@5 71.484 (72.713)
Epoch: [97][2210/5005] Time 0.201 (0.212) Data 0.047 (0.048) Loss 2.4377 (2.3030) Prec@1 42.969 (47.324) Prec@5 69.531 (72.704)
Epoch: [97][2220/5005] Time 0.208 (0.212) Data 0.047 (0.048) Loss 2.3438 (2.3028) Prec@1 50.391 (47.330) Prec@5 71.484 (72.703)
Epoch: [97][2230/5005] Time 0.195 (0.212) Data 0.049 (0.048) Loss 2.3050 (2.3028) Prec@1 49.219 (47.328) Prec@5 73.438 (72.698)
Epoch: [97][2240/5005] Time 0.216 (0.212) Data 0.042 (0.048) Loss 2.3649 (2.3029) Prec@1 50.000 (47.327) Prec@5 73.438 (72.699)
Epoch: [97][2250/5005] Time 0.212 (0.212) Data 0.041 (0.048) Loss 2.1199 (2.3030) Prec@1 44.141 (47.323) Prec@5 76.953 (72.699)
Epoch: [97][2260/5005] Time 0.202 (0.212) Data 0.056 (0.048) Loss 2.2562 (2.3028) Prec@1 50.000 (47.325) Prec@5 71.094 (72.703)
Epoch: [97][2270/5005] Time 0.202 (0.212) Data 0.060 (0.048) Loss 2.4335 (2.3026) Prec@1 42.969 (47.332) Prec@5 70.312 (72.702)
Epoch: [97][2280/5005] Time 0.202 (0.212) Data 0.057 (0.048) Loss 2.3990 (2.3028) Prec@1 45.703 (47.327) Prec@5 71.875 (72.699)
Epoch: [97][2290/5005] Time 0.207 (0.212) Data 0.056 (0.048) Loss 2.1076 (2.3027) Prec@1 51.953 (47.330) Prec@5 76.562 (72.701)
Epoch: [97][2300/5005] Time 0.211 (0.212) Data 0.042 (0.048) Loss 2.2372 (2.3027) Prec@1 48.828 (47.331) Prec@5 75.000 (72.702)
Epoch: [97][2310/5005] Time 0.223 (0.212) Data 0.047 (0.048) Loss 2.0937 (2.3026) Prec@1 51.172 (47.333) Prec@5 74.609 (72.707)
Epoch: [97][2320/5005] Time 0.204 (0.212) Data 0.050 (0.048) Loss 2.4012 (2.3025) Prec@1 44.531 (47.333) Prec@5 71.875 (72.712)
Epoch: [97][2330/5005] Time 0.204 (0.212) Data 0.044 (0.048) Loss 2.2976 (2.3023) Prec@1 51.562 (47.336) Prec@5 74.609 (72.715)
Epoch: [97][2340/5005] Time 0.206 (0.212) Data 0.049 (0.048) Loss 2.4281 (2.3023) Prec@1 43.359 (47.337) Prec@5 69.141 (72.717)
Epoch: [97][2350/5005] Time 0.203 (0.212) Data 0.050 (0.049) Loss 2.2022 (2.3021) Prec@1 51.562 (47.345) Prec@5 73.828 (72.717)
Epoch: [97][2360/5005] Time 0.197 (0.212) Data 0.047 (0.049) Loss 2.2709 (2.3024) Prec@1 49.219 (47.337) Prec@5 69.922 (72.710)
Epoch: [97][2370/5005] Time 0.213 (0.212) Data 0.054 (0.049) Loss 2.4432 (2.3026) Prec@1 42.969 (47.335) Prec@5 71.484 (72.701)
Epoch: [97][2380/5005] Time 0.199 (0.212) Data 0.046 (0.049) Loss 2.2025 (2.3024) Prec@1 47.656 (47.344) Prec@5 75.000 (72.704)
Epoch: [97][2390/5005] Time 0.216 (0.212) Data 0.043 (0.049) Loss 2.2592 (2.3022) Prec@1 48.438 (47.350) Prec@5 72.266 (72.705)
Epoch: [97][2400/5005] Time 0.201 (0.212) Data 0.053 (0.049) Loss 2.2765 (2.3022) Prec@1 48.047 (47.346) Prec@5 73.047 (72.702)
Epoch: [97][2410/5005] Time 0.215 (0.212) Data 0.042 (0.049) Loss 2.5477 (2.3021) Prec@1 43.750 (47.351) Prec@5 68.359 (72.702)
Epoch: [97][2420/5005] Time 0.206 (0.212) Data 0.047 (0.049) Loss 2.2404 (2.3019) Prec@1 49.609 (47.359) Prec@5 76.953 (72.707)
Epoch: [97][2430/5005] Time 0.209 (0.212) Data 0.044 (0.049) Loss 2.0603 (2.3022) Prec@1 48.828 (47.350) Prec@5 76.562 (72.704)
Epoch: [97][2440/5005] Time 0.213 (0.212) Data 0.059 (0.049) Loss 2.0318 (2.3022) Prec@1 55.859 (47.356) Prec@5 75.781 (72.698)
Epoch: [97][2450/5005] Time 0.203 (0.212) Data 0.051 (0.049) Loss 2.2107 (2.3021) Prec@1 54.297 (47.357) Prec@5 70.312 (72.701)
Epoch: [97][2460/5005] Time 0.213 (0.212) Data 0.046 (0.049) Loss 2.2861 (2.3019) Prec@1 44.141 (47.362) Prec@5 71.875 (72.703)
Epoch: [97][2470/5005] Time 0.217 (0.212) Data 0.044 (0.049) Loss 2.3017 (2.3019) Prec@1 46.484 (47.364) Prec@5 70.703 (72.703)
Epoch: [97][2480/5005] Time 0.211 (0.212) Data 0.043 (0.049) Loss 2.4771 (2.3021) Prec@1 41.016 (47.359) Prec@5 70.312 (72.701)
Epoch: [97][2490/5005] Time 0.217 (0.212) Data 0.043 (0.049) Loss 2.1041 (2.3020) Prec@1 53.516 (47.360) Prec@5 77.734 (72.704)
Epoch: [97][2500/5005] Time 0.193 (0.211) Data 0.055 (0.049) Loss 2.3160 (2.3019) Prec@1 48.047 (47.364) Prec@5 70.312 (72.705)
Epoch: [97][2510/5005] Time 0.207 (0.211) Data 0.042 (0.049) Loss 2.4178 (2.3020) Prec@1 45.312 (47.364) Prec@5 75.000 (72.706)
Epoch: [97][2520/5005] Time 0.202 (0.211) Data 0.062 (0.049) Loss 2.2224 (2.3019) Prec@1 51.953 (47.367) Prec@5 73.047 (72.708)
Epoch: [97][2530/5005] Time 0.202 (0.211) Data 0.045 (0.049) Loss 2.4599 (2.3018) Prec@1 47.656 (47.368) Prec@5 69.141 (72.711)
Epoch: [97][2540/5005] Time 0.214 (0.211) Data 0.045 (0.049) Loss 2.3395 (2.3018) Prec@1 47.656 (47.369) Prec@5 73.828 (72.714)
Epoch: [97][2550/5005] Time 0.211 (0.211) Data 0.053 (0.049) Loss 2.2672 (2.3018) Prec@1 49.609 (47.370) Prec@5 74.219 (72.715)
Epoch: [97][2560/5005] Time 0.203 (0.211) Data 0.044 (0.049) Loss 2.5699 (2.3019) Prec@1 41.797 (47.367) Prec@5 69.531 (72.714)
Epoch: [97][2570/5005] Time 0.192 (0.211) Data 0.049 (0.049) Loss 2.3333 (2.3021) Prec@1 46.484 (47.366) Prec@5 72.266 (72.709)
Epoch: [97][2580/5005] Time 0.211 (0.211) Data 0.043 (0.049) Loss 2.4627 (2.3024) Prec@1 41.797 (47.358) Prec@5 69.922 (72.704)
Epoch: [97][2590/5005] Time 0.215 (0.211) Data 0.044 (0.049) Loss 2.3730 (2.3023) Prec@1 47.266 (47.364) Prec@5 72.266 (72.705)
Epoch: [97][2600/5005] Time 0.213 (0.211) Data 0.046 (0.049) Loss 2.2867 (2.3025) Prec@1 46.094 (47.359) Prec@5 74.219 (72.700)
Epoch: [97][2610/5005] Time 0.211 (0.211) Data 0.044 (0.049) Loss 2.3968 (2.3023) Prec@1 47.656 (47.367) Prec@5 72.656 (72.706)
Epoch: [97][2620/5005] Time 0.203 (0.211) Data 0.048 (0.049) Loss 2.3843 (2.3023) Prec@1 46.875 (47.366) Prec@5 70.312 (72.704)
Epoch: [97][2630/5005] Time 0.206 (0.211) Data 0.045 (0.049) Loss 2.5036 (2.3027) Prec@1 46.094 (47.361) Prec@5 69.141 (72.697)
Epoch: [97][2640/5005] Time 0.206 (0.211) Data 0.044 (0.049) Loss 2.5162 (2.3028) Prec@1 40.234 (47.357) Prec@5 67.578 (72.696)
Epoch: [97][2650/5005] Time 0.219 (0.211) Data 0.042 (0.048) Loss 2.6520 (2.3029) Prec@1 45.312 (47.358) Prec@5 69.141 (72.694)
Epoch: [97][2660/5005] Time 0.206 (0.211) Data 0.050 (0.048) Loss 2.3763 (2.3029) Prec@1 44.141 (47.361) Prec@5 68.359 (72.690)
Epoch: [97][2670/5005] Time 0.208 (0.211) Data 0.043 (0.048) Loss 2.0019 (2.3027) Prec@1 52.734 (47.367) Prec@5 76.953 (72.694)
Epoch: [97][2680/5005] Time 0.212 (0.211) Data 0.043 (0.048) Loss 2.1986 (2.3026) Prec@1 49.219 (47.366) Prec@5 74.219 (72.692)
Epoch: [97][2690/5005] Time 0.209 (0.211) Data 0.043 (0.048) Loss 2.1115 (2.3025) Prec@1 51.172 (47.368) Prec@5 75.781 (72.690)
Epoch: [97][2700/5005] Time 0.211 (0.211) Data 0.041 (0.048) Loss 2.2907 (2.3024) Prec@1 45.703 (47.364) Prec@5 73.047 (72.694)
Epoch: [97][2710/5005] Time 0.210 (0.211) Data 0.044 (0.048) Loss 2.0001 (2.3024) Prec@1 51.953 (47.362) Prec@5 75.000 (72.692)
Epoch: [97][2720/5005] Time 0.211 (0.211) Data 0.045 (0.048) Loss 2.1421 (2.3024) Prec@1 50.781 (47.360) Prec@5 76.562 (72.693)
Epoch: [97][2730/5005] Time 0.201 (0.211) Data 0.043 (0.048) Loss 2.3163 (2.3021) Prec@1 49.219 (47.364) Prec@5 73.047 (72.695)
Epoch: [97][2740/5005] Time 0.213 (0.211) Data 0.043 (0.048) Loss 2.1663 (2.3020) Prec@1 53.125 (47.372) Prec@5 72.266 (72.698)
Epoch: [97][2750/5005] Time 0.214 (0.211) Data 0.041 (0.048) Loss 2.2614 (2.3020) Prec@1 47.266 (47.376) Prec@5 71.875 (72.698)
Epoch: [97][2760/5005] Time 0.206 (0.211) Data 0.041 (0.048) Loss 2.3048 (2.3019) Prec@1 44.141 (47.374) Prec@5 73.047 (72.701)
Epoch: [97][2770/5005] Time 0.207 (0.211) Data 0.047 (0.048) Loss 2.1894 (2.3020) Prec@1 49.219 (47.373) Prec@5 77.344 (72.701)
Epoch: [97][2780/5005] Time 0.210 (0.211) Data 0.043 (0.048) Loss 2.4596 (2.3019) Prec@1 43.750 (47.376) Prec@5 66.797 (72.704)
Epoch: [97][2790/5005] Time 0.210 (0.211) Data 0.044 (0.048) Loss 2.6879 (2.3019) Prec@1 39.844 (47.380) Prec@5 64.844 (72.704)
Epoch: [97][2800/5005] Time 0.210 (0.211) Data 0.043 (0.048) Loss 1.9848 (2.3017) Prec@1 58.203 (47.385) Prec@5 76.562 (72.705)
Epoch: [97][2810/5005] Time 0.211 (0.211) Data 0.045 (0.048) Loss 2.5577 (2.3017) Prec@1 47.656 (47.393) Prec@5 69.531 (72.706)
Epoch: [97][2820/5005] Time 0.199 (0.211) Data 0.048 (0.048) Loss 2.0165 (2.3016) Prec@1 46.875 (47.392) Prec@5 78.906 (72.710)
Epoch: [97][2830/5005] Time 0.193 (0.211) Data 0.053 (0.048) Loss 2.6393 (2.3017) Prec@1 42.969 (47.389) Prec@5 71.484 (72.711)
Epoch: [97][2840/5005] Time 0.207 (0.211) Data 0.043 (0.048) Loss 2.3659 (2.3016) Prec@1 46.094 (47.385) Prec@5 71.484 (72.711)
Epoch: [97][2850/5005] Time 0.207 (0.211) Data 0.059 (0.048) Loss 2.3363 (2.3016) Prec@1 50.391 (47.389) Prec@5 69.531 (72.713)
Epoch: [97][2860/5005] Time 0.209 (0.211) Data 0.048 (0.048) Loss 2.3077 (2.3016) Prec@1 46.875 (47.388) Prec@5 72.266 (72.714)
Epoch: [97][2870/5005] Time 0.201 (0.211) Data 0.046 (0.048) Loss 2.1878 (2.3015) Prec@1 49.609 (47.395) Prec@5 73.828 (72.716)
Epoch: [97][2880/5005] Time 0.204 (0.211) Data 0.045 (0.048) Loss 2.2894 (2.3014) Prec@1 47.266 (47.395) Prec@5 73.047 (72.716)
Epoch: [97][2890/5005] Time 0.203 (0.211) Data 0.066 (0.048) Loss 2.2563 (2.3014) Prec@1 42.188 (47.395) Prec@5 72.656 (72.718)
Epoch: [97][2900/5005] Time 0.205 (0.211) Data 0.050 (0.048) Loss 1.9511 (2.3011) Prec@1 51.172 (47.395) Prec@5 78.906 (72.721)
Epoch: [97][2910/5005] Time 0.212 (0.211) Data 0.048 (0.048) Loss 2.3453 (2.3012) Prec@1 44.141 (47.396) Prec@5 72.656 (72.724)
Epoch: [97][2920/5005] Time 0.198 (0.211) Data 0.047 (0.048) Loss 2.2819 (2.3011) Prec@1 46.875 (47.398) Prec@5 74.609 (72.722)
Epoch: [97][2930/5005] Time 0.208 (0.211) Data 0.051 (0.048) Loss 2.3793 (2.3012) Prec@1 47.656 (47.400) Prec@5 71.875 (72.720)
Epoch: [97][2940/5005] Time 0.215 (0.211) Data 0.055 (0.048) Loss 2.3234 (2.3010) Prec@1 44.531 (47.397) Prec@5 74.609 (72.724)
Epoch: [97][2950/5005] Time 0.208 (0.211) Data 0.044 (0.048) Loss 2.3729 (2.3008) Prec@1 44.531 (47.399) Prec@5 72.656 (72.729)
Epoch: [97][2960/5005] Time 0.202 (0.211) Data 0.045 (0.048) Loss 2.2718 (2.3007) Prec@1 51.562 (47.405) Prec@5 70.312 (72.729)
Epoch: [97][2970/5005] Time 0.210 (0.211) Data 0.044 (0.048) Loss 2.3506 (2.3007) Prec@1 44.141 (47.406) Prec@5 70.703 (72.728)
Epoch: [97][2980/5005] Time 0.207 (0.211) Data 0.045 (0.048) Loss 2.4374 (2.3007) Prec@1 44.141 (47.405) Prec@5 71.875 (72.729)
Epoch: [97][2990/5005] Time 0.205 (0.211) Data 0.049 (0.048) Loss 2.1724 (2.3007) Prec@1 49.609 (47.405) Prec@5 76.172 (72.728)
Epoch: [97][3000/5005] Time 0.208 (0.211) Data 0.042 (0.048) Loss 2.3567 (2.3006) Prec@1 43.359 (47.403) Prec@5 71.094 (72.728)
Epoch: [97][3010/5005] Time 0.211 (0.211) Data 0.042 (0.048) Loss 2.1843 (2.3007) Prec@1 50.000 (47.403) Prec@5 74.609 (72.727)
Epoch: [97][3020/5005] Time 0.198 (0.211) Data 0.044 (0.048) Loss 2.2219 (2.3008) Prec@1 46.484 (47.400) Prec@5 73.047 (72.725)
Epoch: [97][3030/5005] Time 0.213 (0.211) Data 0.044 (0.048) Loss 2.3776 (2.3009) Prec@1 48.047 (47.399) Prec@5 73.047 (72.725)
Epoch: [97][3040/5005] Time 0.221 (0.211) Data 0.044 (0.048) Loss 2.2184 (2.3008) Prec@1 50.781 (47.402) Prec@5 75.391 (72.725)
Epoch: [97][3050/5005] Time 0.211 (0.211) Data 0.046 (0.048) Loss 2.2293 (2.3009) Prec@1 46.875 (47.400) Prec@5 77.734 (72.725)
Epoch: [97][3060/5005] Time 0.196 (0.211) Data 0.043 (0.048) Loss 2.0816 (2.3007) Prec@1 54.297 (47.400) Prec@5 78.516 (72.730)
Epoch: [97][3070/5005] Time 0.212 (0.211) Data 0.043 (0.048) Loss 2.2428 (2.3007) Prec@1 49.609 (47.400) Prec@5 72.656 (72.730)
Epoch: [97][3080/5005] Time 0.198 (0.211) Data 0.046 (0.048) Loss 2.1793 (2.3006) Prec@1 46.484 (47.397) Prec@5 74.609 (72.730)
Epoch: [97][3090/5005] Time 0.199 (0.211) Data 0.045 (0.048) Loss 2.4725 (2.3005) Prec@1 41.406 (47.401) Prec@5 72.266 (72.732)
Epoch: [97][3100/5005] Time 0.207 (0.211) Data 0.047 (0.048) Loss 2.2930 (2.3005) Prec@1 46.875 (47.399) Prec@5 70.703 (72.730)
Epoch: [97][3110/5005] Time 0.202 (0.211) Data 0.040 (0.048) Loss 2.1005 (2.3002) Prec@1 51.953 (47.405) Prec@5 73.828 (72.736)
Epoch: [97][3120/5005] Time 0.220 (0.211) Data 0.042 (0.048) Loss 2.3444 (2.3001) Prec@1 46.484 (47.409) Prec@5 73.047 (72.734)
Epoch: [97][3130/5005] Time 0.195 (0.211) Data 0.057 (0.048) Loss 2.4119 (2.3000) Prec@1 43.359 (47.414) Prec@5 71.875 (72.734)
Epoch: [97][3140/5005] Time 0.201 (0.211) Data 0.046 (0.048) Loss 2.1307 (2.2999) Prec@1 51.172 (47.419) Prec@5 75.781 (72.734)
Epoch: [97][3150/5005] Time 0.205 (0.211) Data 0.045 (0.048) Loss 2.3185 (2.2997) Prec@1 51.562 (47.423) Prec@5 73.047 (72.738)
Epoch: [97][3160/5005] Time 0.216 (0.211) Data 0.047 (0.048) Loss 2.1161 (2.2997) Prec@1 51.953 (47.424) Prec@5 73.438 (72.740)
Epoch: [97][3170/5005] Time 0.192 (0.211) Data 0.041 (0.048) Loss 2.3364 (2.2997) Prec@1 44.922 (47.430) Prec@5 72.266 (72.741)
Epoch: [97][3180/5005] Time 0.210 (0.211) Data 0.041 (0.048) Loss 2.0455 (2.2997) Prec@1 55.469 (47.433) Prec@5 75.000 (72.738)
Epoch: [97][3190/5005] Time 0.207 (0.211) Data 0.045 (0.048) Loss 2.3537 (2.2998) Prec@1 48.828 (47.432) Prec@5 73.828 (72.742)
Epoch: [97][3200/5005] Time 0.213 (0.211) Data 0.042 (0.048) Loss 2.3013 (2.2997) Prec@1 46.875 (47.436) Prec@5 72.656 (72.743)
Epoch: [97][3210/5005] Time 0.213 (0.211) Data 0.043 (0.048) Loss 2.3493 (2.2996) Prec@1 48.828 (47.441) Prec@5 73.047 (72.745)
Epoch: [97][3220/5005] Time 0.212 (0.211) Data 0.043 (0.048) Loss 2.3662 (2.2996) Prec@1 47.266 (47.442) Prec@5 69.141 (72.747)
Epoch: [97][3230/5005] Time 0.202 (0.211) Data 0.046 (0.048) Loss 2.0365 (2.2995) Prec@1 51.562 (47.445) Prec@5 75.781 (72.751)
Epoch: [97][3240/5005] Time 0.217 (0.211) Data 0.042 (0.048) Loss 2.5352 (2.2998) Prec@1 44.531 (47.437) Prec@5 72.656 (72.747)
Epoch: [97][3250/5005] Time 0.210 (0.211) Data 0.047 (0.048) Loss 2.2513 (2.2999) Prec@1 50.781 (47.438) Prec@5 73.828 (72.748)
Epoch: [97][3260/5005] Time 0.214 (0.211) Data 0.046 (0.048) Loss 2.3854 (2.3000) Prec@1 47.266 (47.436) Prec@5 70.703 (72.745)
Epoch: [97][3270/5005] Time 0.191 (0.211) Data 0.046 (0.048) Loss 2.3115 (2.2998) Prec@1 50.000 (47.439) Prec@5 69.531 (72.748)
Epoch: [97][3280/5005] Time 0.205 (0.211) Data 0.046 (0.048) Loss 2.3351 (2.2999) Prec@1 47.656 (47.435) Prec@5 73.438 (72.745)
Epoch: [97][3290/5005] Time 0.207 (0.211) Data 0.041 (0.048) Loss 2.2294 (2.2997) Prec@1 48.828 (47.439) Prec@5 72.266 (72.749)
Epoch: [97][3300/5005] Time 0.206 (0.211) Data 0.048 (0.048) Loss 2.2264 (2.2997) Prec@1 46.094 (47.441) Prec@5 71.875 (72.746)
Epoch: [97][3310/5005] Time 0.212 (0.211) Data 0.045 (0.048) Loss 2.0857 (2.2997) Prec@1 51.953 (47.443) Prec@5 74.219 (72.746)
Epoch: [97][3320/5005] Time 0.208 (0.211) Data 0.048 (0.048) Loss 2.2518 (2.2996) Prec@1 48.047 (47.440) Prec@5 72.266 (72.748)
Epoch: [97][3330/5005] Time 0.207 (0.211) Data 0.048 (0.048) Loss 2.2661 (2.2997) Prec@1 48.047 (47.442) Prec@5 71.094 (72.746)
Epoch: [97][3340/5005] Time 0.204 (0.211) Data 0.045 (0.048) Loss 2.2312 (2.2997) Prec@1 49.609 (47.439) Prec@5 76.953 (72.749)
Epoch: [97][3350/5005] Time 0.206 (0.211) Data 0.041 (0.048) Loss 2.3329 (2.2996) Prec@1 45.703 (47.437) Prec@5 74.219 (72.753)
Epoch: [97][3360/5005] Time 0.209 (0.211) Data 0.044 (0.048) Loss 2.1100 (2.2995) Prec@1 50.000 (47.439) Prec@5 77.734 (72.755)
Epoch: [97][3370/5005] Time 0.208 (0.211) Data 0.047 (0.048) Loss 2.3180 (2.2996) Prec@1 43.359 (47.439) Prec@5 69.922 (72.751)
Epoch: [97][3380/5005] Time 0.213 (0.211) Data 0.048 (0.048) Loss 2.3220 (2.2994) Prec@1 41.016 (47.437) Prec@5 73.828 (72.754)
Epoch: [97][3390/5005] Time 0.204 (0.211) Data 0.061 (0.048) Loss 2.2089 (2.2996) Prec@1 51.562 (47.433) Prec@5 75.000 (72.749)
Epoch: [97][3400/5005] Time 0.198 (0.211) Data 0.065 (0.048) Loss 2.2016 (2.2996) Prec@1 50.391 (47.433) Prec@5 74.609 (72.750)
Epoch: [97][3410/5005] Time 0.201 (0.211) Data 0.044 (0.048) Loss 2.2736 (2.2995) Prec@1 50.391 (47.435) Prec@5 72.266 (72.751)
Epoch: [97][3420/5005] Time 0.202 (0.211) Data 0.051 (0.048) Loss 2.2158 (2.2995) Prec@1 49.219 (47.431) Prec@5 75.000 (72.751)
Epoch: [97][3430/5005] Time 0.209 (0.211) Data 0.053 (0.048) Loss 2.2200 (2.2994) Prec@1 50.391 (47.433) Prec@5 73.047 (72.754)
Epoch: [97][3440/5005] Time 0.200 (0.211) Data 0.064 (0.048) Loss 2.2934 (2.2992) Prec@1 48.047 (47.436) Prec@5 73.828 (72.756)
Epoch: [97][3450/5005] Time 0.203 (0.211) Data 0.047 (0.048) Loss 2.0741 (2.2991) Prec@1 51.562 (47.437) Prec@5 73.828 (72.759)
Epoch: [97][3460/5005] Time 0.201 (0.211) Data 0.045 (0.048) Loss 2.2372 (2.2991) Prec@1 48.047 (47.436) Prec@5 73.047 (72.758)
Epoch: [97][3470/5005] Time 0.200 (0.210) Data 0.053 (0.048) Loss 2.1502 (2.2989) Prec@1 53.125 (47.441) Prec@5 73.438 (72.763)
Epoch: [97][3480/5005] Time 0.215 (0.210) Data 0.057 (0.048) Loss 2.1947 (2.2987) Prec@1 46.875 (47.442) Prec@5 73.828 (72.764)
Epoch: [97][3490/5005] Time 0.206 (0.210) Data 0.044 (0.048) Loss 2.3684 (2.2988) Prec@1 44.531 (47.440) Prec@5 73.047 (72.764)
Epoch: [97][3500/5005] Time 0.206 (0.210) Data 0.048 (0.048) Loss 2.1322 (2.2989) Prec@1 50.000 (47.437) Prec@5 76.953 (72.764)
Epoch: [97][3510/5005] Time 0.208 (0.210) Data 0.046 (0.048) Loss 2.1943 (2.2987) Prec@1 48.828 (47.438) Prec@5 71.094 (72.767)
Epoch: [97][3520/5005] Time 0.193 (0.210) Data 0.049 (0.048) Loss 2.4689 (2.2987) Prec@1 48.047 (47.442) Prec@5 68.359 (72.764)
Epoch: [97][3530/5005] Time 0.215 (0.210) Data 0.044 (0.048) Loss 2.3299 (2.2986) Prec@1 48.828 (47.446) Prec@5 73.047 (72.765)
Epoch: [97][3540/5005] Time 0.208 (0.210) Data 0.044 (0.048) Loss 2.2830 (2.2984) Prec@1 45.703 (47.451) Prec@5 73.828 (72.770)
Epoch: [97][3550/5005] Time 0.203 (0.210) Data 0.046 (0.048) Loss 2.4157 (2.2983) Prec@1 45.312 (47.453) Prec@5 70.312 (72.771)
Epoch: [97][3560/5005] Time 0.205 (0.210) Data 0.045 (0.048) Loss 2.3352 (2.2982) Prec@1 47.266 (47.454) Prec@5 69.531 (72.771)
Epoch: [97][3570/5005] Time 0.207 (0.210) Data 0.053 (0.048) Loss 2.4713 (2.2983) Prec@1 46.094 (47.453) Prec@5 71.484 (72.772)
Epoch: [97][3580/5005] Time 0.208 (0.210) Data 0.053 (0.048) Loss 2.2576 (2.2984) Prec@1 48.047 (47.452) Prec@5 70.703 (72.769)
Epoch: [97][3590/5005] Time 0.207 (0.210) Data 0.044 (0.048) Loss 2.4059 (2.2982) Prec@1 45.312 (47.455) Prec@5 71.875 (72.774)
Epoch: [97][3600/5005] Time 0.211 (0.210) Data 0.052 (0.048) Loss 2.2755 (2.2981) Prec@1 47.656 (47.456) Prec@5 73.047 (72.774)
Epoch: [97][3610/5005] Time 0.206 (0.210) Data 0.047 (0.048) Loss 2.2907 (2.2981) Prec@1 49.219 (47.456) Prec@5 73.047 (72.774)
Epoch: [97][3620/5005] Time 0.213 (0.210) Data 0.048 (0.048) Loss 2.2627 (2.2979) Prec@1 49.219 (47.459) Prec@5 72.266 (72.780)
Epoch: [97][3630/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.5950 (2.2977) Prec@1 43.359 (47.459) Prec@5 69.141 (72.784)
Epoch: [97][3640/5005] Time 0.220 (0.210) Data 0.052 (0.048) Loss 2.3412 (2.2977) Prec@1 43.359 (47.458) Prec@5 74.219 (72.784)
Epoch: [97][3650/5005] Time 0.209 (0.210) Data 0.045 (0.048) Loss 2.1262 (2.2976) Prec@1 50.000 (47.455) Prec@5 74.609 (72.786)
Epoch: [97][3660/5005] Time 0.205 (0.210) Data 0.041 (0.048) Loss 2.3384 (2.2975) Prec@1 46.875 (47.456) Prec@5 73.438 (72.792)
Epoch: [97][3670/5005] Time 0.204 (0.210) Data 0.062 (0.048) Loss 2.4889 (2.2976) Prec@1 46.094 (47.454) Prec@5 68.750 (72.789)
Epoch: [97][3680/5005] Time 0.220 (0.210) Data 0.045 (0.048) Loss 2.1339 (2.2977) Prec@1 48.047 (47.450) Prec@5 75.000 (72.788)
Epoch: [97][3690/5005] Time 0.196 (0.210) Data 0.048 (0.048) Loss 2.1012 (2.2976) Prec@1 48.828 (47.448) Prec@5 76.953 (72.791)
Epoch: [97][3700/5005] Time 0.203 (0.210) Data 0.047 (0.048) Loss 2.4272 (2.2977) Prec@1 44.141 (47.447) Prec@5 69.141 (72.790)
Epoch: [97][3710/5005] Time 0.208 (0.210) Data 0.064 (0.048) Loss 2.1789 (2.2976) Prec@1 49.609 (47.448) Prec@5 74.609 (72.792)
Epoch: [97][3720/5005] Time 0.201 (0.210) Data 0.044 (0.048) Loss 2.4039 (2.2976) Prec@1 44.531 (47.445) Prec@5 70.703 (72.790)
Epoch: [97][3730/5005] Time 0.199 (0.210) Data 0.039 (0.048) Loss 2.1057 (2.2975) Prec@1 51.953 (47.448) Prec@5 76.562 (72.792)
Epoch: [97][3740/5005] Time 0.205 (0.210) Data 0.047 (0.048) Loss 2.2258 (2.2973) Prec@1 46.484 (47.451) Prec@5 76.562 (72.796)
Epoch: [97][3750/5005] Time 0.207 (0.210) Data 0.046 (0.048) Loss 2.2042 (2.2975) Prec@1 49.609 (47.448) Prec@5 75.000 (72.790)
Epoch: [97][3760/5005] Time 0.199 (0.210) Data 0.046 (0.048) Loss 2.1962 (2.2975) Prec@1 50.391 (47.447) Prec@5 71.875 (72.792)
Epoch: [97][3770/5005] Time 0.215 (0.210) Data 0.042 (0.048) Loss 2.4201 (2.2973) Prec@1 46.875 (47.449) Prec@5 71.484 (72.795)
Epoch: [97][3780/5005] Time 0.213 (0.210) Data 0.042 (0.048) Loss 2.3552 (2.2973) Prec@1 48.047 (47.451) Prec@5 67.969 (72.796)
Epoch: [97][3790/5005] Time 0.208 (0.210) Data 0.045 (0.048) Loss 2.4282 (2.2974) Prec@1 44.531 (47.448) Prec@5 75.000 (72.795)
Epoch: [97][3800/5005] Time 0.203 (0.210) Data 0.049 (0.048) Loss 2.2638 (2.2976) Prec@1 48.047 (47.444) Prec@5 72.266 (72.792)
Epoch: [97][3810/5005] Time 0.208 (0.210) Data 0.042 (0.048) Loss 2.1849 (2.2977) Prec@1 49.219 (47.441) Prec@5 75.781 (72.794)
Epoch: [97][3820/5005] Time 0.211 (0.210) Data 0.042 (0.048) Loss 2.2724 (2.2975) Prec@1 49.219 (47.442) Prec@5 71.484 (72.796)
Epoch: [97][3830/5005] Time 0.220 (0.210) Data 0.042 (0.048) Loss 2.2740 (2.2973) Prec@1 48.047 (47.447) Prec@5 74.219 (72.798)
Epoch: [97][3840/5005] Time 0.221 (0.210) Data 0.046 (0.048) Loss 2.5270 (2.2974) Prec@1 42.969 (47.445) Prec@5 67.578 (72.796)
Epoch: [97][3850/5005] Time 0.207 (0.210) Data 0.049 (0.048) Loss 2.4512 (2.2974) Prec@1 45.312 (47.446) Prec@5 69.922 (72.799)
Epoch: [97][3860/5005] Time 0.213 (0.210) Data 0.042 (0.048) Loss 2.1499 (2.2974) Prec@1 50.391 (47.446) Prec@5 73.047 (72.797)
Epoch: [97][3870/5005] Time 0.210 (0.210) Data 0.049 (0.048) Loss 2.2530 (2.2975) Prec@1 46.875 (47.441) Prec@5 73.438 (72.792)
Epoch: [97][3880/5005] Time 0.207 (0.210) Data 0.061 (0.048) Loss 2.1028 (2.2974) Prec@1 53.516 (47.443) Prec@5 76.172 (72.794)
Epoch: [97][3890/5005] Time 0.212 (0.210) Data 0.046 (0.048) Loss 2.4844 (2.2974) Prec@1 45.703 (47.444) Prec@5 67.578 (72.792)
Epoch: [97][3900/5005] Time 0.209 (0.210) Data 0.047 (0.048) Loss 2.3924 (2.2975) Prec@1 44.531 (47.445) Prec@5 70.703 (72.792)
Epoch: [97][3910/5005] Time 0.200 (0.210) Data 0.048 (0.048) Loss 2.3406 (2.2975) Prec@1 42.188 (47.441) Prec@5 72.656 (72.792)
Epoch: [97][3920/5005] Time 0.208 (0.210) Data 0.048 (0.048) Loss 2.2797 (2.2975) Prec@1 49.609 (47.442) Prec@5 72.266 (72.793)
Epoch: [97][3930/5005] Time 0.211 (0.210) Data 0.054 (0.048) Loss 2.2720 (2.2973) Prec@1 48.828 (47.445) Prec@5 70.703 (72.795)
Epoch: [97][3940/5005] Time 0.213 (0.210) Data 0.053 (0.048) Loss 2.2354 (2.2972) Prec@1 49.219 (47.447) Prec@5 70.312 (72.794)
Epoch: [97][3950/5005] Time 0.207 (0.210) Data 0.056 (0.048) Loss 2.0949 (2.2970) Prec@1 51.562 (47.451) Prec@5 77.734 (72.797)
Epoch: [97][3960/5005] Time 0.206 (0.210) Data 0.046 (0.048) Loss 2.1867 (2.2970) Prec@1 51.172 (47.451) Prec@5 74.219 (72.798)
Epoch: [97][3970/5005] Time 0.202 (0.210) Data 0.041 (0.048) Loss 2.2957 (2.2970) Prec@1 47.656 (47.450) Prec@5 73.047 (72.799)
Epoch: [97][3980/5005] Time 0.205 (0.210) Data 0.043 (0.048) Loss 2.1707 (2.2970) Prec@1 49.219 (47.451) Prec@5 74.609 (72.799)
Epoch: [97][3990/5005] Time 0.213 (0.210) Data 0.048 (0.048) Loss 2.4253 (2.2970) Prec@1 44.531 (47.449) Prec@5 70.312 (72.801)
Epoch: [97][4000/5005] Time 0.201 (0.210) Data 0.045 (0.048) Loss 2.1581 (2.2970) Prec@1 50.000 (47.447) Prec@5 75.781 (72.802)
Epoch: [97][4010/5005] Time 0.206 (0.210) Data 0.051 (0.048) Loss 2.2734 (2.2968) Prec@1 49.609 (47.451) Prec@5 71.875 (72.804)
Epoch: [97][4020/5005] Time 0.200 (0.210) Data 0.046 (0.048) Loss 2.4039 (2.2968) Prec@1 46.094 (47.450) Prec@5 71.094 (72.800)
Epoch: [97][4030/5005] Time 0.203 (0.210) Data 0.043 (0.048) Loss 2.5111 (2.2971) Prec@1 45.312 (47.446) Prec@5 71.094 (72.795)
Epoch: [97][4040/5005] Time 0.200 (0.210) Data 0.057 (0.048) Loss 2.3503 (2.2973) Prec@1 45.703 (47.442) Prec@5 68.750 (72.794)
Epoch: [97][4050/5005] Time 0.215 (0.210) Data 0.062 (0.048) Loss 2.4496 (2.2971) Prec@1 42.188 (47.443) Prec@5 67.188 (72.797)
Epoch: [97][4060/5005] Time 0.214 (0.210) Data 0.052 (0.048) Loss 2.3256 (2.2971) Prec@1 48.047 (47.443) Prec@5 74.609 (72.797)
Epoch: [97][4070/5005] Time 0.206 (0.210) Data 0.044 (0.048) Loss 2.5275 (2.2971) Prec@1 42.188 (47.444) Prec@5 70.312 (72.798)
Epoch: [97][4080/5005] Time 0.193 (0.210) Data 0.041 (0.048) Loss 2.1592 (2.2969) Prec@1 50.391 (47.449) Prec@5 75.391 (72.801)
Epoch: [97][4090/5005] Time 0.211 (0.210) Data 0.042 (0.048) Loss 2.4694 (2.2969) Prec@1 44.141 (47.449) Prec@5 71.484 (72.801)
Epoch: [97][4100/5005] Time 0.204 (0.210) Data 0.045 (0.048) Loss 2.3174 (2.2969) Prec@1 44.141 (47.450) Prec@5 70.703 (72.800)
Epoch: [97][4110/5005] Time 0.209 (0.210) Data 0.050 (0.048) Loss 2.3332 (2.2969) Prec@1 46.094 (47.450) Prec@5 73.438 (72.799)
Epoch: [97][4120/5005] Time 0.206 (0.210) Data 0.046 (0.048) Loss 2.5443 (2.2968) Prec@1 42.578 (47.450) Prec@5 71.094 (72.800)
Epoch: [97][4130/5005] Time 0.196 (0.210) Data 0.062 (0.048) Loss 2.5641 (2.2967) Prec@1 42.969 (47.452) Prec@5 67.969 (72.800)
Epoch: [97][4140/5005] Time 0.198 (0.210) Data 0.066 (0.048) Loss 2.3365 (2.2967) Prec@1 44.922 (47.454) Prec@5 68.750 (72.800)
Epoch: [97][4150/5005] Time 0.209 (0.210) Data 0.045 (0.048) Loss 2.5192 (2.2967) Prec@1 48.047 (47.455) Prec@5 68.750 (72.801)
Epoch: [97][4160/5005] Time 0.206 (0.210) Data 0.047 (0.048) Loss 2.2164 (2.2967) Prec@1 47.656 (47.453) Prec@5 72.656 (72.800)
Epoch: [97][4170/5005] Time 0.203 (0.210) Data 0.051 (0.048) Loss 2.2757 (2.2967) Prec@1 44.531 (47.456) Prec@5 71.094 (72.801)
Epoch: [97][4180/5005] Time 0.210 (0.210) Data 0.046 (0.048) Loss 2.2385 (2.2966) Prec@1 48.047 (47.458) Prec@5 71.484 (72.801)
Epoch: [97][4190/5005] Time 0.213 (0.210) Data 0.045 (0.048) Loss 2.1526 (2.2965) Prec@1 51.172 (47.460) Prec@5 72.266 (72.800)
Epoch: [97][4200/5005] Time 0.208 (0.210) Data 0.047 (0.048) Loss 2.2477 (2.2965) Prec@1 48.047 (47.461) Prec@5 73.828 (72.799)
Epoch: [97][4210/5005] Time 0.213 (0.210) Data 0.041 (0.048) Loss 2.0659 (2.2965) Prec@1 50.781 (47.464) Prec@5 78.125 (72.799)
Epoch: [97][4220/5005] Time 0.197 (0.210) Data 0.043 (0.048) Loss 2.3923 (2.2966) Prec@1 46.875 (47.463) Prec@5 68.750 (72.798)
Epoch: [97][4230/5005] Time 0.207 (0.210) Data 0.043 (0.048) Loss 2.3921 (2.2966) Prec@1 45.703 (47.461) Prec@5 72.656 (72.799)
Epoch: [97][4240/5005] Time 0.199 (0.210) Data 0.048 (0.048) Loss 2.1753 (2.2966) Prec@1 48.047 (47.460) Prec@5 76.562 (72.802)
Epoch: [97][4250/5005] Time 0.198 (0.210) Data 0.044 (0.048) Loss 2.1309 (2.2965) Prec@1 50.391 (47.464) Prec@5 75.391 (72.804)
Epoch: [97][4260/5005] Time 0.210 (0.210) Data 0.041 (0.048) Loss 2.1709 (2.2964) Prec@1 44.531 (47.464) Prec@5 74.609 (72.803)
Epoch: [97][4270/5005] Time 0.207 (0.210) Data 0.049 (0.048) Loss 2.5288 (2.2965) Prec@1 44.141 (47.464) Prec@5 68.750 (72.800)
Epoch: [97][4280/5005] Time 0.215 (0.210) Data 0.050 (0.048) Loss 2.3828 (2.2966) Prec@1 46.875 (47.466) Prec@5 69.922 (72.799)
Epoch: [97][4290/5005] Time 0.217 (0.210) Data 0.046 (0.048) Loss 2.4041 (2.2966) Prec@1 49.219 (47.468) Prec@5 69.531 (72.797)
Epoch: [97][4300/5005] Time 0.202 (0.210) Data 0.039 (0.048) Loss 2.2129 (2.2964) Prec@1 47.266 (47.472) Prec@5 75.000 (72.801)
Epoch: [97][4310/5005] Time 0.210 (0.210) Data 0.047 (0.048) Loss 2.2338 (2.2964) Prec@1 46.875 (47.475) Prec@5 74.219 (72.803)
Epoch: [97][4320/5005] Time 0.203 (0.210) Data 0.049 (0.048) Loss 2.2116 (2.2964) Prec@1 51.172 (47.477) Prec@5 75.000 (72.802)
Epoch: [97][4330/5005] Time 0.206 (0.210) Data 0.053 (0.048) Loss 2.2276 (2.2963) Prec@1 44.531 (47.476) Prec@5 71.875 (72.803)
Epoch: [97][4340/5005] Time 0.210 (0.210) Data 0.063 (0.048) Loss 2.4254 (2.2963) Prec@1 45.703 (47.475) Prec@5 68.359 (72.803)
Epoch: [97][4350/5005] Time 0.212 (0.210) Data 0.045 (0.048) Loss 2.2778 (2.2963) Prec@1 48.047 (47.474) Prec@5 73.828 (72.804)
Epoch: [97][4360/5005] Time 0.207 (0.210) Data 0.047 (0.048) Loss 2.1626 (2.2962) Prec@1 48.828 (47.473) Prec@5 74.609 (72.806)
Epoch: [97][4370/5005] Time 0.215 (0.210) Data 0.048 (0.048) Loss 2.2244 (2.2962) Prec@1 46.875 (47.472) Prec@5 75.781 (72.804)
Epoch: [97][4380/5005] Time 0.214 (0.210) Data 0.044 (0.048) Loss 2.2600 (2.2962) Prec@1 44.141 (47.469) Prec@5 73.047 (72.805)
Epoch: [97][4390/5005] Time 0.210 (0.210) Data 0.047 (0.048) Loss 2.3746 (2.2960) Prec@1 43.750 (47.472) Prec@5 70.312 (72.806)
Epoch: [97][4400/5005] Time 0.194 (0.210) Data 0.044 (0.048) Loss 2.1096 (2.2960) Prec@1 52.734 (47.477) Prec@5 73.438 (72.806)
Epoch: [97][4410/5005] Time 0.208 (0.210) Data 0.042 (0.048) Loss 2.2481 (2.2959) Prec@1 44.531 (47.476) Prec@5 75.391 (72.807)
Epoch: [97][4420/5005] Time 0.209 (0.210) Data 0.042 (0.048) Loss 1.9452 (2.2959) Prec@1 54.297 (47.476) Prec@5 79.297 (72.808)
Epoch: [97][4430/5005] Time 0.208 (0.210) Data 0.042 (0.048) Loss 2.3365 (2.2957) Prec@1 42.969 (47.481) Prec@5 69.531 (72.810)
Epoch: [97][4440/5005] Time 0.206 (0.210) Data 0.047 (0.048) Loss 2.4263 (2.2957) Prec@1 46.875 (47.483) Prec@5 73.047 (72.811)
Epoch: [97][4450/5005] Time 0.203 (0.210) Data 0.050 (0.048) Loss 2.2544 (2.2956) Prec@1 48.828 (47.483) Prec@5 75.391 (72.811)
Epoch: [97][4460/5005] Time 0.208 (0.210) Data 0.048 (0.048) Loss 2.4021 (2.2955) Prec@1 46.875 (47.485) Prec@5 69.141 (72.812)
Epoch: [97][4470/5005] Time 0.204 (0.210) Data 0.044 (0.048) Loss 2.2393 (2.2956) Prec@1 48.438 (47.484) Prec@5 73.047 (72.810)
Epoch: [97][4480/5005] Time 0.210 (0.210) Data 0.046 (0.048) Loss 2.2099 (2.2957) Prec@1 46.875 (47.482) Prec@5 73.047 (72.807)
Epoch: [97][4490/5005] Time 0.209 (0.210) Data 0.048 (0.048) Loss 2.2207 (2.2958) Prec@1 51.562 (47.479) Prec@5 72.266 (72.805)
Epoch: [97][4500/5005] Time 0.207 (0.210) Data 0.046 (0.048) Loss 2.1860 (2.2958) Prec@1 48.828 (47.480) Prec@5 74.219 (72.807)
Epoch: [97][4510/5005] Time 0.212 (0.210) Data 0.045 (0.048) Loss 2.0800 (2.2958) Prec@1 52.734 (47.479) Prec@5 78.125 (72.807)
Epoch: [97][4520/5005] Time 0.204 (0.210) Data 0.047 (0.048) Loss 2.1832 (2.2956) Prec@1 49.219 (47.484) Prec@5 76.172 (72.811)
Epoch: [97][4530/5005] Time 0.215 (0.210) Data 0.048 (0.048) Loss 2.1886 (2.2956) Prec@1 50.000 (47.483) Prec@5 79.688 (72.813)
Epoch: [97][4540/5005] Time 0.206 (0.210) Data 0.042 (0.048) Loss 2.5253 (2.2958) Prec@1 44.531 (47.481) Prec@5 72.656 (72.809)
Epoch: [97][4550/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.2424 (2.2958) Prec@1 50.781 (47.481) Prec@5 72.656 (72.808)
Epoch: [97][4560/5005] Time 0.202 (0.210) Data 0.045 (0.048) Loss 2.2446 (2.2957) Prec@1 47.266 (47.482) Prec@5 71.094 (72.806)
Epoch: [97][4570/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.3940 (2.2957) Prec@1 46.875 (47.481) Prec@5 70.312 (72.807)
Epoch: [97][4580/5005] Time 0.212 (0.210) Data 0.042 (0.048) Loss 2.3607 (2.2956) Prec@1 42.578 (47.482) Prec@5 70.312 (72.807)
Epoch: [97][4590/5005] Time 0.204 (0.210) Data 0.043 (0.048) Loss 2.0103 (2.2957) Prec@1 51.172 (47.481) Prec@5 77.344 (72.808)
Epoch: [97][4600/5005] Time 0.210 (0.210) Data 0.042 (0.048) Loss 2.0341 (2.2957) Prec@1 54.688 (47.481) Prec@5 76.953 (72.808)
Epoch: [97][4610/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.1954 (2.2956) Prec@1 48.047 (47.482) Prec@5 75.781 (72.809)
Epoch: [97][4620/5005] Time 0.195 (0.210) Data 0.057 (0.048) Loss 2.2094 (2.2955) Prec@1 49.609 (47.484) Prec@5 72.266 (72.808)
Epoch: [97][4630/5005] Time 0.213 (0.210) Data 0.042 (0.048) Loss 2.0829 (2.2954) Prec@1 53.125 (47.486) Prec@5 75.000 (72.810)
Epoch: [97][4640/5005] Time 0.204 (0.210) Data 0.043 (0.048) Loss 2.3569 (2.2954) Prec@1 49.609 (47.487) Prec@5 73.438 (72.811)
Epoch: [97][4650/5005] Time 0.198 (0.210) Data 0.057 (0.048) Loss 2.2673 (2.2953) Prec@1 44.922 (47.488) Prec@5 67.578 (72.809)
Epoch: [97][4660/5005] Time 0.201 (0.210) Data 0.043 (0.048) Loss 2.4816 (2.2953) Prec@1 44.531 (47.488) Prec@5 71.094 (72.811)
Epoch: [97][4670/5005] Time 0.199 (0.210) Data 0.047 (0.048) Loss 2.2227 (2.2952) Prec@1 49.609 (47.493) Prec@5 73.047 (72.812)
Epoch: [97][4680/5005] Time 0.202 (0.210) Data 0.047 (0.048) Loss 2.2006 (2.2951) Prec@1 48.047 (47.493) Prec@5 73.047 (72.813)
Epoch: [97][4690/5005] Time 0.197 (0.210) Data 0.051 (0.048) Loss 2.2491 (2.2951) Prec@1 46.875 (47.491) Prec@5 75.000 (72.816)
Epoch: [97][4700/5005] Time 0.212 (0.210) Data 0.046 (0.048) Loss 2.1917 (2.2950) Prec@1 48.828 (47.495) Prec@5 76.562 (72.816)
Epoch: [97][4710/5005] Time 0.211 (0.210) Data 0.049 (0.048) Loss 2.2112 (2.2949) Prec@1 47.266 (47.495) Prec@5 73.438 (72.818)
Epoch: [97][4720/5005] Time 0.203 (0.210) Data 0.046 (0.048) Loss 2.1857 (2.2948) Prec@1 50.781 (47.496) Prec@5 74.609 (72.817)
Epoch: [97][4730/5005] Time 0.213 (0.210) Data 0.045 (0.048) Loss 2.1734 (2.2949) Prec@1 47.266 (47.493) Prec@5 78.906 (72.818)
Epoch: [97][4740/5005] Time 0.189 (0.210) Data 0.051 (0.048) Loss 2.2161 (2.2948) Prec@1 46.484 (47.494) Prec@5 74.609 (72.821)
Epoch: [97][4750/5005] Time 0.210 (0.210) Data 0.046 (0.048) Loss 2.1710 (2.2947) Prec@1 49.609 (47.497) Prec@5 72.656 (72.823)
Epoch: [97][4760/5005] Time 0.209 (0.210) Data 0.045 (0.048) Loss 2.5507 (2.2946) Prec@1 42.578 (47.498) Prec@5 69.922 (72.827)
Epoch: [97][4770/5005] Time 0.214 (0.210) Data 0.044 (0.048) Loss 2.0920 (2.2946) Prec@1 53.516 (47.498) Prec@5 75.000 (72.827)
Epoch: [97][4780/5005] Time 0.213 (0.210) Data 0.046 (0.048) Loss 2.3278 (2.2945) Prec@1 48.047 (47.502) Prec@5 71.875 (72.828)
Epoch: [97][4790/5005] Time 0.209 (0.210) Data 0.044 (0.048) Loss 2.5473 (2.2946) Prec@1 42.188 (47.503) Prec@5 67.969 (72.826)
Epoch: [97][4800/5005] Time 0.208 (0.210) Data 0.043 (0.048) Loss 2.4165 (2.2945) Prec@1 44.141 (47.503) Prec@5 72.656 (72.831)
Epoch: [97][4810/5005] Time 0.197 (0.210) Data 0.058 (0.048) Loss 2.4166 (2.2944) Prec@1 45.312 (47.503) Prec@5 72.656 (72.833)
Epoch: [97][4820/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.4545 (2.2943) Prec@1 44.141 (47.506) Prec@5 68.750 (72.833)
Epoch: [97][4830/5005] Time 0.208 (0.210) Data 0.044 (0.048) Loss 2.4312 (2.2942) Prec@1 44.922 (47.507) Prec@5 70.312 (72.834)
Epoch: [97][4840/5005] Time 0.206 (0.210) Data 0.044 (0.048) Loss 2.1036 (2.2943) Prec@1 48.047 (47.505) Prec@5 75.391 (72.831)
Epoch: [97][4850/5005] Time 0.201 (0.210) Data 0.042 (0.048) Loss 2.4608 (2.2946) Prec@1 43.750 (47.502) Prec@5 71.484 (72.829)
Epoch: [97][4860/5005] Time 0.207 (0.210) Data 0.044 (0.048) Loss 2.2122 (2.2944) Prec@1 45.312 (47.505) Prec@5 75.000 (72.830)
Epoch: [97][4870/5005] Time 0.202 (0.210) Data 0.047 (0.048) Loss 2.2062 (2.2945) Prec@1 50.781 (47.506) Prec@5 74.609 (72.829)
Epoch: [97][4880/5005] Time 0.213 (0.210) Data 0.046 (0.048) Loss 2.1650 (2.2943) Prec@1 50.391 (47.511) Prec@5 75.391 (72.830)
Epoch: [97][4890/5005] Time 0.204 (0.210) Data 0.049 (0.048) Loss 2.3100 (2.2942) Prec@1 50.000 (47.511) Prec@5 71.484 (72.831)
Epoch: [97][4900/5005] Time 0.203 (0.210) Data 0.058 (0.048) Loss 2.1130 (2.2941) Prec@1 47.656 (47.512) Prec@5 76.953 (72.832)
Epoch: [97][4910/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.3219 (2.2940) Prec@1 43.359 (47.514) Prec@5 75.000 (72.837)
Epoch: [97][4920/5005] Time 0.187 (0.210) Data 0.054 (0.048) Loss 2.1659 (2.2939) Prec@1 48.438 (47.514) Prec@5 75.391 (72.839)
Epoch: [97][4930/5005] Time 0.207 (0.210) Data 0.048 (0.048) Loss 2.4586 (2.2939) Prec@1 48.438 (47.516) Prec@5 71.094 (72.841)
Epoch: [97][4940/5005] Time 0.210 (0.210) Data 0.045 (0.048) Loss 2.4645 (2.2940) Prec@1 45.703 (47.516) Prec@5 69.922 (72.838)
Epoch: [97][4950/5005] Time 0.204 (0.210) Data 0.048 (0.048) Loss 2.0643 (2.2940) Prec@1 50.391 (47.516) Prec@5 76.172 (72.836)
Epoch: [97][4960/5005] Time 0.213 (0.210) Data 0.045 (0.048) Loss 2.4657 (2.2941) Prec@1 43.750 (47.514) Prec@5 73.047 (72.837)
Epoch: [97][4970/5005] Time 0.213 (0.210) Data 0.045 (0.048) Loss 2.2878 (2.2940) Prec@1 45.703 (47.515) Prec@5 73.047 (72.839)
Epoch: [97][4980/5005] Time 0.203 (0.209) Data 0.046 (0.048) Loss 2.3500 (2.2938) Prec@1 50.781 (47.518) Prec@5 72.656 (72.843)
Epoch: [97][4990/5005] Time 0.210 (0.209) Data 0.022 (0.048) Loss 2.2815 (2.2937) Prec@1 46.875 (47.521) Prec@5 69.141 (72.842)
Epoch: [97][5000/5005] Time 0.205 (0.209) Data 0.022 (0.048) Loss 2.3051 (2.2937) Prec@1 44.141 (47.520) Prec@5 73.828 (72.842)
Test: [0/196] Time 1.843 (1.843) Loss 2.4129 (2.4129) Prec@1 47.656 (47.656) Prec@5 72.266 (72.266)
Test: [10/196] Time 0.042 (0.286) Loss 2.4455 (2.5563) Prec@1 45.312 (43.821) Prec@5 72.266 (69.638)
Test: [20/196] Time 0.045 (0.235) Loss 2.4600 (2.5502) Prec@1 45.312 (43.769) Prec@5 73.047 (69.792)
Test: [30/196] Time 0.086 (0.215) Loss 2.4290 (2.5530) Prec@1 44.531 (43.586) Prec@5 70.312 (69.481)
Test: [40/196] Time 0.042 (0.196) Loss 2.3014 (2.5468) Prec@1 51.172 (43.941) Prec@5 75.000 (69.684)
Test: [50/196] Time 0.043 (0.201) Loss 2.6092 (2.5511) Prec@1 43.750 (44.010) Prec@5 71.875 (69.631)
Test: [60/196] Time 0.208 (0.195) Loss 2.4590 (2.5378) Prec@1 48.828 (44.282) Prec@5 69.922 (69.576)
Test: [70/196] Time 0.042 (0.190) Loss 2.4896 (2.5333) Prec@1 45.312 (44.289) Prec@5 68.750 (69.526)
Test: [80/196] Time 0.096 (0.184) Loss 2.3920 (2.5384) Prec@1 51.172 (44.256) Prec@5 76.172 (69.536)
Test: [90/196] Time 0.416 (0.192) Loss 2.6752 (2.5414) Prec@1 42.188 (44.257) Prec@5 67.969 (69.518)
Test: [100/196] Time 0.043 (0.185) Loss 2.6205 (2.5394) Prec@1 44.531 (44.496) Prec@5 66.797 (69.516)
Test: [110/196] Time 0.044 (0.182) Loss 2.7245 (2.5414) Prec@1 39.844 (44.602) Prec@5 68.359 (69.503)
Test: [120/196] Time 0.434 (0.184) Loss 2.3823 (2.5391) Prec@1 44.922 (44.612) Prec@5 73.047 (69.547)
Test: [130/196] Time 0.046 (0.182) Loss 2.2333 (2.5341) Prec@1 47.266 (44.692) Prec@5 73.047 (69.603)
Test: [140/196] Time 0.044 (0.179) Loss 2.2975 (2.5361) Prec@1 53.125 (44.645) Prec@5 71.484 (69.553)
Test: [150/196] Time 0.316 (0.181) Loss 2.2054 (2.5349) Prec@1 47.656 (44.627) Prec@5 76.172 (69.624)
Test: [160/196] Time 0.042 (0.180) Loss 2.5077 (2.5335) Prec@1 50.000 (44.614) Prec@5 71.094 (69.648)
Test: [170/196] Time 0.048 (0.180) Loss 2.4436 (2.5350) Prec@1 45.312 (44.618) Prec@5 71.094 (69.627)
Test: [180/196] Time 0.045 (0.181) Loss 2.6994 (2.5394) Prec@1 44.531 (44.566) Prec@5 66.016 (69.538)
Test: [190/196] Time 0.043 (0.180) Loss 2.8033 (2.5432) Prec@1 41.406 (44.470) Prec@5 62.891 (69.370)
* Prec@1 44.468 Prec@5 69.400
Learning rate: 1e-06
Epoch: [98][0/5005] Time 1.095 (1.095) Data 0.971 (0.971) Loss 2.2474 (2.2474) Prec@1 51.172 (51.172) Prec@5 76.172 (76.172)
Epoch: [98][10/5005] Time 0.205 (0.282) Data 0.043 (0.135) Loss 2.2058 (2.3051) Prec@1 51.953 (47.585) Prec@5 75.781 (73.189)
Epoch: [98][20/5005] Time 0.200 (0.246) Data 0.045 (0.092) Loss 2.3817 (2.3250) Prec@1 48.047 (46.987) Prec@5 71.484 (72.638)
Epoch: [98][30/5005] Time 0.206 (0.232) Data 0.044 (0.077) Loss 2.2431 (2.2897) Prec@1 46.875 (47.278) Prec@5 74.609 (72.896)
Epoch: [98][40/5005] Time 0.203 (0.226) Data 0.042 (0.070) Loss 2.1863 (2.3019) Prec@1 50.781 (47.256) Prec@5 76.172 (72.742)
Epoch: [98][50/5005] Time 0.201 (0.221) Data 0.048 (0.067) Loss 2.1968 (2.2969) Prec@1 49.219 (47.281) Prec@5 76.172 (72.794)
Epoch: [98][60/5005] Time 0.198 (0.218) Data 0.043 (0.064) Loss 2.2062 (2.2948) Prec@1 44.922 (47.227) Prec@5 75.781 (72.861)
Epoch: [98][70/5005] Time 0.213 (0.216) Data 0.044 (0.062) Loss 2.3558 (2.3066) Prec@1 46.484 (47.013) Prec@5 69.141 (72.695)
Epoch: [98][80/5005] Time 0.196 (0.214) Data 0.043 (0.061) Loss 2.2288 (2.3008) Prec@1 50.000 (47.034) Prec@5 73.047 (72.907)
Epoch: [98][90/5005] Time 0.210 (0.212) Data 0.039 (0.059) Loss 2.2608 (2.3000) Prec@1 48.828 (47.171) Prec@5 74.609 (72.927)
Epoch: [98][100/5005] Time 0.202 (0.211) Data 0.046 (0.058) Loss 2.1717 (2.3032) Prec@1 48.828 (47.188) Prec@5 79.297 (72.873)
Epoch: [98][110/5005] Time 0.200 (0.210) Data 0.045 (0.057) Loss 2.3488 (2.3022) Prec@1 49.609 (47.368) Prec@5 69.531 (72.801)
Epoch: [98][120/5005] Time 0.194 (0.209) Data 0.046 (0.056) Loss 2.3394 (2.3050) Prec@1 46.094 (47.414) Prec@5 72.266 (72.698)
Epoch: [98][130/5005] Time 0.205 (0.209) Data 0.045 (0.056) Loss 2.4781 (2.3052) Prec@1 47.266 (47.453) Prec@5 67.578 (72.668)
Epoch: [98][140/5005] Time 0.204 (0.208) Data 0.042 (0.055) Loss 2.3379 (2.3032) Prec@1 42.969 (47.360) Prec@5 71.875 (72.659)
Epoch: [98][150/5005] Time 0.209 (0.208) Data 0.039 (0.055) Loss 2.4258 (2.3040) Prec@1 45.703 (47.367) Prec@5 70.312 (72.610)
Epoch: [98][160/5005] Time 0.212 (0.208) Data 0.043 (0.054) Loss 2.1739 (2.3024) Prec@1 48.828 (47.336) Prec@5 75.391 (72.661)
Epoch: [98][170/5005] Time 0.212 (0.208) Data 0.060 (0.054) Loss 2.4299 (2.3038) Prec@1 44.141 (47.300) Prec@5 70.312 (72.649)
Epoch: [98][180/5005] Time 0.218 (0.208) Data 0.048 (0.053) Loss 2.3572 (2.3033) Prec@1 47.656 (47.304) Prec@5 70.703 (72.682)
Epoch: [98][190/5005] Time 0.213 (0.209) Data 0.047 (0.053) Loss 2.5109 (2.3081) Prec@1 44.531 (47.163) Prec@5 69.531 (72.617)
Epoch: [98][200/5005] Time 0.218 (0.209) Data 0.046 (0.053) Loss 2.5880 (2.3094) Prec@1 39.844 (47.133) Prec@5 67.578 (72.606)
Epoch: [98][210/5005] Time 0.219 (0.210) Data 0.043 (0.052) Loss 2.2412 (2.3099) Prec@1 50.000 (47.136) Prec@5 74.609 (72.560)
Epoch: [98][220/5005] Time 0.225 (0.210) Data 0.047 (0.052) Loss 2.3564 (2.3105) Prec@1 47.656 (47.147) Prec@5 67.578 (72.550)
Epoch: [98][230/5005] Time 0.212 (0.211) Data 0.041 (0.052) Loss 2.3215 (2.3097) Prec@1 50.391 (47.191) Prec@5 69.922 (72.540)
Epoch: [98][240/5005] Time 0.226 (0.211) Data 0.043 (0.052) Loss 2.1637 (2.3095) Prec@1 47.656 (47.126) Prec@5 74.609 (72.544)
Epoch: [98][250/5005] Time 0.222 (0.211) Data 0.048 (0.052) Loss 2.3360 (2.3083) Prec@1 49.219 (47.149) Prec@5 75.000 (72.580)
Epoch: [98][260/5005] Time 0.212 (0.212) Data 0.051 (0.052) Loss 2.0823 (2.3064) Prec@1 51.562 (47.204) Prec@5 73.047 (72.571)
Epoch: [98][270/5005] Time 0.213 (0.212) Data 0.047 (0.051) Loss 2.2865 (2.3057) Prec@1 44.922 (47.170) Prec@5 73.047 (72.571)
Epoch: [98][280/5005] Time 0.214 (0.212) Data 0.048 (0.051) Loss 2.6910 (2.3070) Prec@1 39.844 (47.125) Prec@5 64.062 (72.526)
Epoch: [98][290/5005] Time 0.217 (0.212) Data 0.065 (0.051) Loss 2.1908 (2.3092) Prec@1 46.875 (47.048) Prec@5 71.875 (72.514)
Epoch: [98][300/5005] Time 0.215 (0.212) Data 0.043 (0.051) Loss 2.0568 (2.3087) Prec@1 51.562 (47.061) Prec@5 77.344 (72.517)
Epoch: [98][310/5005] Time 0.214 (0.213) Data 0.047 (0.051) Loss 2.0928 (2.3051) Prec@1 49.609 (47.143) Prec@5 75.781 (72.558)
Epoch: [98][320/5005] Time 0.222 (0.213) Data 0.044 (0.051) Loss 2.4811 (2.3061) Prec@1 45.312 (47.163) Prec@5 69.141 (72.559)
Epoch: [98][330/5005] Time 0.220 (0.213) Data 0.044 (0.051) Loss 1.9842 (2.3051) Prec@1 50.781 (47.151) Prec@5 77.734 (72.558)
Epoch: [98][340/5005] Time 0.211 (0.213) Data 0.053 (0.051) Loss 2.5492 (2.3093) Prec@1 41.406 (47.102) Prec@5 70.312 (72.492)
Epoch: [98][350/5005] Time 0.222 (0.213) Data 0.050 (0.051) Loss 2.5294 (2.3090) Prec@1 43.750 (47.137) Prec@5 67.969 (72.493)
Epoch: [98][360/5005] Time 0.217 (0.213) Data 0.044 (0.051) Loss 2.4895 (2.3093) Prec@1 43.750 (47.133) Prec@5 70.703 (72.493)
Epoch: [98][370/5005] Time 0.218 (0.213) Data 0.041 (0.051) Loss 2.4542 (2.3091) Prec@1 42.578 (47.135) Prec@5 69.531 (72.507)
Epoch: [98][380/5005] Time 0.211 (0.213) Data 0.051 (0.051) Loss 2.3962 (2.3096) Prec@1 48.047 (47.128) Prec@5 69.141 (72.483)
Epoch: [98][390/5005] Time 0.223 (0.213) Data 0.051 (0.051) Loss 2.3747 (2.3107) Prec@1 46.484 (47.104) Prec@5 71.484 (72.468)
Epoch: [98][400/5005] Time 0.211 (0.213) Data 0.053 (0.051) Loss 2.1752 (2.3090) Prec@1 48.828 (47.135) Prec@5 75.000 (72.488)
Epoch: [98][410/5005] Time 0.209 (0.213) Data 0.053 (0.051) Loss 2.1102 (2.3083) Prec@1 48.438 (47.135) Prec@5 76.953 (72.495)
Epoch: [98][420/5005] Time 0.217 (0.213) Data 0.047 (0.051) Loss 2.1481 (2.3072) Prec@1 50.391 (47.187) Prec@5 75.781 (72.523)
Epoch: [98][430/5005] Time 0.209 (0.213) Data 0.040 (0.051) Loss 2.1563 (2.3061) Prec@1 52.344 (47.197) Prec@5 76.172 (72.547)
Epoch: [98][440/5005] Time 0.216 (0.214) Data 0.049 (0.051) Loss 2.1929 (2.3059) Prec@1 49.609 (47.188) Prec@5 74.219 (72.572)
Epoch: [98][450/5005] Time 0.203 (0.214) Data 0.059 (0.051) Loss 2.1937 (2.3067) Prec@1 46.094 (47.186) Prec@5 73.828 (72.553)
Epoch: [98][460/5005] Time 0.222 (0.214) Data 0.066 (0.051) Loss 2.2737 (2.3065) Prec@1 44.922 (47.175) Prec@5 70.703 (72.554)
Epoch: [98][470/5005] Time 0.215 (0.214) Data 0.046 (0.051) Loss 2.3488 (2.3075) Prec@1 45.703 (47.171) Prec@5 71.094 (72.523)
Epoch: [98][480/5005] Time 0.216 (0.214) Data 0.048 (0.051) Loss 2.3945 (2.3083) Prec@1 44.922 (47.173) Prec@5 71.875 (72.515)
Epoch: [98][490/5005] Time 0.201 (0.214) Data 0.042 (0.051) Loss 2.3125 (2.3090) Prec@1 50.781 (47.161) Prec@5 73.047 (72.504)
Epoch: [98][500/5005] Time 0.216 (0.214) Data 0.043 (0.051) Loss 2.4711 (2.3105) Prec@1 47.266 (47.174) Prec@5 69.531 (72.471)
Epoch: [98][510/5005] Time 0.222 (0.214) Data 0.042 (0.050) Loss 2.6287 (2.3109) Prec@1 41.016 (47.167) Prec@5 68.359 (72.461)
Epoch: [98][520/5005] Time 0.216 (0.214) Data 0.043 (0.050) Loss 2.3176 (2.3103) Prec@1 47.266 (47.170) Prec@5 73.438 (72.466)
Epoch: [98][530/5005] Time 0.213 (0.214) Data 0.045 (0.050) Loss 2.2606 (2.3105) Prec@1 50.391 (47.190) Prec@5 74.219 (72.471)
Epoch: [98][540/5005] Time 0.211 (0.214) Data 0.046 (0.050) Loss 2.5275 (2.3113) Prec@1 43.359 (47.172) Prec@5 66.406 (72.448)
Epoch: [98][550/5005] Time 0.212 (0.214) Data 0.057 (0.050) Loss 2.1591 (2.3108) Prec@1 46.875 (47.199) Prec@5 77.344 (72.468)
Epoch: [98][560/5005] Time 0.207 (0.214) Data 0.057 (0.050) Loss 2.4163 (2.3109) Prec@1 47.266 (47.206) Prec@5 72.656 (72.475)
Epoch: [98][570/5005] Time 0.210 (0.214) Data 0.060 (0.050) Loss 2.3629 (2.3117) Prec@1 45.703 (47.178) Prec@5 73.438 (72.457)
Epoch: [98][580/5005] Time 0.212 (0.214) Data 0.046 (0.050) Loss 2.3302 (2.3113) Prec@1 50.391 (47.210) Prec@5 71.484 (72.444)
Epoch: [98][590/5005] Time 0.219 (0.214) Data 0.046 (0.050) Loss 2.2861 (2.3110) Prec@1 43.359 (47.211) Prec@5 73.438 (72.434)
Epoch: [98][600/5005] Time 0.216 (0.214) Data 0.044 (0.050) Loss 2.1176 (2.3121) Prec@1 51.953 (47.208) Prec@5 77.344 (72.434)
Epoch: [98][610/5005] Time 0.213 (0.214) Data 0.047 (0.050) Loss 2.1410 (2.3120) Prec@1 49.219 (47.211) Prec@5 75.391 (72.431)
Epoch: [98][620/5005] Time 0.216 (0.214) Data 0.046 (0.050) Loss 2.3402 (2.3121) Prec@1 49.219 (47.217) Prec@5 75.000 (72.440)
Epoch: [98][630/5005] Time 0.212 (0.214) Data 0.042 (0.050) Loss 2.5506 (2.3121) Prec@1 41.797 (47.217) Prec@5 70.312 (72.445)
Epoch: [98][640/5005] Time 0.214 (0.214) Data 0.052 (0.050) Loss 2.2805 (2.3122) Prec@1 46.094 (47.206) Prec@5 71.094 (72.441)
Epoch: [98][650/5005] Time 0.220 (0.214) Data 0.046 (0.050) Loss 2.3895 (2.3135) Prec@1 43.359 (47.174) Prec@5 71.094 (72.429)
Epoch: [98][660/5005] Time 0.217 (0.214) Data 0.043 (0.050) Loss 2.4432 (2.3130) Prec@1 44.922 (47.182) Prec@5 72.266 (72.432)
Epoch: [98][670/5005] Time 0.215 (0.214) Data 0.044 (0.050) Loss 2.5700 (2.3130) Prec@1 43.750 (47.186) Prec@5 66.797 (72.423)
Epoch: [98][680/5005] Time 0.213 (0.214) Data 0.041 (0.050) Loss 2.3278 (2.3128) Prec@1 48.438 (47.196) Prec@5 73.047 (72.433)
Epoch: [98][690/5005] Time 0.216 (0.214) Data 0.044 (0.050) Loss 2.1739 (2.3123) Prec@1 49.609 (47.211) Prec@5 76.953 (72.442)
Epoch: [98][700/5005] Time 0.196 (0.214) Data 0.047 (0.050) Loss 2.3625 (2.3126) Prec@1 49.219 (47.192) Prec@5 72.266 (72.452)
Epoch: [98][710/5005] Time 0.211 (0.214) Data 0.053 (0.050) Loss 2.1323 (2.3123) Prec@1 50.391 (47.199) Prec@5 75.781 (72.455)
Epoch: [98][720/5005] Time 0.214 (0.214) Data 0.050 (0.050) Loss 2.1329 (2.3114) Prec@1 46.875 (47.216) Prec@5 71.875 (72.466)
Epoch: [98][730/5005] Time 0.205 (0.214) Data 0.067 (0.050) Loss 2.3903 (2.3112) Prec@1 48.047 (47.230) Prec@5 72.266 (72.467)
Epoch: [98][740/5005] Time 0.212 (0.214) Data 0.043 (0.050) Loss 2.3759 (2.3116) Prec@1 50.000 (47.226) Prec@5 70.703 (72.459)
Epoch: [98][750/5005] Time 0.212 (0.214) Data 0.045 (0.050) Loss 2.1955 (2.3117) Prec@1 47.656 (47.221) Prec@5 72.266 (72.463)
Epoch: [98][760/5005] Time 0.212 (0.214) Data 0.041 (0.050) Loss 2.2535 (2.3117) Prec@1 45.312 (47.209) Prec@5 75.000 (72.464)
Epoch: [98][770/5005] Time 0.211 (0.214) Data 0.042 (0.050) Loss 2.3229 (2.3102) Prec@1 46.484 (47.240) Prec@5 74.219 (72.491)
Epoch: [98][780/5005] Time 0.214 (0.214) Data 0.042 (0.050) Loss 2.3133 (2.3099) Prec@1 48.438 (47.251) Prec@5 70.703 (72.489)
Epoch: [98][790/5005] Time 0.219 (0.214) Data 0.041 (0.049) Loss 2.3495 (2.3093) Prec@1 45.703 (47.273) Prec@5 73.047 (72.497)
Epoch: [98][800/5005] Time 0.215 (0.214) Data 0.043 (0.049) Loss 2.0856 (2.3082) Prec@1 51.562 (47.306) Prec@5 76.953 (72.507)
Epoch: [98][810/5005] Time 0.215 (0.214) Data 0.044 (0.049) Loss 2.4612 (2.3088) Prec@1 47.656 (47.304) Prec@5 69.141 (72.507)
Epoch: [98][820/5005] Time 0.203 (0.214) Data 0.043 (0.049) Loss 2.4420 (2.3089) Prec@1 45.312 (47.289) Prec@5 71.484 (72.518)
Epoch: [98][830/5005] Time 0.218 (0.214) Data 0.043 (0.049) Loss 2.3007 (2.3091) Prec@1 46.094 (47.285) Prec@5 74.609 (72.514)
Epoch: [98][840/5005] Time 0.216 (0.214) Data 0.044 (0.049) Loss 2.2597 (2.3092) Prec@1 50.781 (47.284) Prec@5 72.656 (72.522)
Epoch: [98][850/5005] Time 0.216 (0.214) Data 0.043 (0.049) Loss 2.4485 (2.3090) Prec@1 49.609 (47.283) Prec@5 69.922 (72.533)
Epoch: [98][860/5005] Time 0.215 (0.214) Data 0.048 (0.049) Loss 2.2360 (2.3090) Prec@1 44.531 (47.290) Prec@5 71.875 (72.530)
Epoch: [98][870/5005] Time 0.216 (0.214) Data 0.046 (0.049) Loss 2.3425 (2.3081) Prec@1 44.922 (47.319) Prec@5 70.312 (72.550)
Epoch: [98][880/5005] Time 0.208 (0.214) Data 0.047 (0.049) Loss 2.1117 (2.3083) Prec@1 47.656 (47.310) Prec@5 75.391 (72.552)
Epoch: [98][890/5005] Time 0.215 (0.214) Data 0.041 (0.049) Loss 2.5790 (2.3077) Prec@1 43.359 (47.312) Prec@5 67.969 (72.561)
Epoch: [98][900/5005] Time 0.218 (0.214) Data 0.040 (0.049) Loss 2.1991 (2.3073) Prec@1 45.312 (47.306) Prec@5 74.609 (72.562)
Epoch: [98][910/5005] Time 0.210 (0.214) Data 0.047 (0.049) Loss 2.3516 (2.3074) Prec@1 43.359 (47.288) Prec@5 71.484 (72.562)
Epoch: [98][920/5005] Time 0.214 (0.214) Data 0.043 (0.049) Loss 2.3143 (2.3071) Prec@1 49.219 (47.297) Prec@5 72.656 (72.565)
Epoch: [98][930/5005] Time 0.213 (0.214) Data 0.043 (0.049) Loss 2.4251 (2.3069) Prec@1 51.172 (47.308) Prec@5 71.484 (72.574)
Epoch: [98][940/5005] Time 0.216 (0.214) Data 0.042 (0.049) Loss 2.1076 (2.3068) Prec@1 50.000 (47.327) Prec@5 75.391 (72.575)
Epoch: [98][950/5005] Time 0.214 (0.214) Data 0.042 (0.049) Loss 2.3512 (2.3074) Prec@1 44.531 (47.310) Prec@5 71.484 (72.572)
Epoch: [98][960/5005] Time 0.216 (0.214) Data 0.044 (0.049) Loss 2.5272 (2.3074) Prec@1 44.531 (47.305) Prec@5 67.969 (72.573)
Epoch: [98][970/5005] Time 0.205 (0.214) Data 0.041 (0.049) Loss 2.2304 (2.3078) Prec@1 47.266 (47.288) Prec@5 74.219 (72.569)
Epoch: [98][980/5005] Time 0.217 (0.214) Data 0.043 (0.048) Loss 2.2452 (2.3075) Prec@1 50.000 (47.296) Prec@5 71.094 (72.573)
Epoch: [98][990/5005] Time 0.213 (0.214) Data 0.045 (0.048) Loss 2.3375 (2.3083) Prec@1 47.656 (47.278) Prec@5 72.656 (72.553)
Epoch: [98][1000/5005] Time 0.209 (0.214) Data 0.040 (0.048) Loss 2.3104 (2.3080) Prec@1 47.656 (47.285) Prec@5 75.781 (72.552)
Epoch: [98][1010/5005] Time 0.212 (0.214) Data 0.042 (0.048) Loss 2.3644 (2.3074) Prec@1 46.875 (47.298) Prec@5 71.484 (72.560)
Epoch: [98][1020/5005] Time 0.210 (0.214) Data 0.043 (0.048) Loss 2.1550 (2.3076) Prec@1 52.344 (47.299) Prec@5 74.219 (72.550)
Epoch: [98][1030/5005] Time 1.525 (0.215) Data 0.049 (0.048) Loss 2.2266 (2.3073) Prec@1 47.266 (47.295) Prec@5 76.953 (72.575)
Epoch: [98][1040/5005] Time 0.197 (0.215) Data 0.049 (0.048) Loss 2.3415 (2.3071) Prec@1 45.703 (47.295) Prec@5 70.703 (72.577)
Epoch: [98][1050/5005] Time 0.207 (0.215) Data 0.058 (0.048) Loss 2.5603 (2.3073) Prec@1 44.531 (47.279) Prec@5 68.359 (72.572)
Epoch: [98][1060/5005] Time 0.208 (0.215) Data 0.051 (0.048) Loss 2.4085 (2.3078) Prec@1 41.797 (47.268) Prec@5 69.141 (72.559)
Epoch: [98][1070/5005] Time 0.201 (0.215) Data 0.051 (0.048) Loss 2.3979 (2.3080) Prec@1 44.531 (47.257) Prec@5 74.219 (72.554)
Epoch: [98][1080/5005] Time 0.209 (0.215) Data 0.047 (0.048) Loss 2.3166 (2.3084) Prec@1 46.484 (47.248) Prec@5 73.438 (72.558)
Epoch: [98][1090/5005] Time 0.202 (0.214) Data 0.067 (0.048) Loss 2.1544 (2.3083) Prec@1 50.000 (47.250) Prec@5 74.219 (72.564)
Epoch: [98][1100/5005] Time 0.219 (0.214) Data 0.048 (0.048) Loss 2.2861 (2.3080) Prec@1 48.047 (47.252) Prec@5 73.438 (72.565)
Epoch: [98][1110/5005] Time 0.213 (0.214) Data 0.044 (0.048) Loss 2.3180 (2.3080) Prec@1 42.578 (47.255) Prec@5 73.438 (72.564)
Epoch: [98][1120/5005] Time 0.204 (0.214) Data 0.052 (0.048) Loss 2.2008 (2.3069) Prec@1 49.219 (47.276) Prec@5 71.875 (72.578)
Epoch: [98][1130/5005] Time 0.221 (0.214) Data 0.044 (0.048) Loss 2.4301 (2.3071) Prec@1 44.531 (47.275) Prec@5 71.484 (72.578)
Epoch: [98][1140/5005] Time 0.209 (0.214) Data 0.044 (0.048) Loss 2.2052 (2.3067) Prec@1 48.828 (47.284) Prec@5 75.781 (72.588)
Epoch: [98][1150/5005] Time 0.215 (0.214) Data 0.042 (0.048) Loss 2.3013 (2.3065) Prec@1 44.141 (47.288) Prec@5 73.047 (72.591)
Epoch: [98][1160/5005] Time 0.217 (0.214) Data 0.049 (0.048) Loss 2.3384 (2.3062) Prec@1 48.438 (47.301) Prec@5 71.484 (72.596)
Epoch: [98][1170/5005] Time 0.210 (0.214) Data 0.056 (0.048) Loss 2.1214 (2.3061) Prec@1 51.562 (47.300) Prec@5 76.172 (72.599)
Epoch: [98][1180/5005] Time 0.216 (0.214) Data 0.048 (0.048) Loss 2.2370 (2.3057) Prec@1 50.391 (47.300) Prec@5 70.703 (72.597)
Epoch: [98][1190/5005] Time 0.214 (0.214) Data 0.045 (0.048) Loss 2.1874 (2.3055) Prec@1 45.703 (47.294) Prec@5 73.438 (72.601)
Epoch: [98][1200/5005] Time 0.209 (0.214) Data 0.041 (0.048) Loss 2.3649 (2.3054) Prec@1 48.438 (47.305) Prec@5 72.266 (72.605)
Epoch: [98][1210/5005] Time 0.209 (0.214) Data 0.045 (0.048) Loss 2.2504 (2.3059) Prec@1 47.266 (47.301) Prec@5 75.391 (72.609)
Epoch: [98][1220/5005] Time 0.218 (0.214) Data 0.042 (0.048) Loss 2.1997 (2.3058) Prec@1 49.609 (47.310) Prec@5 74.609 (72.612)
Epoch: [98][1230/5005] Time 0.217 (0.214) Data 0.046 (0.048) Loss 2.2990 (2.3059) Prec@1 47.656 (47.306) Prec@5 74.609 (72.607)
Epoch: [98][1240/5005] Time 0.205 (0.214) Data 0.047 (0.048) Loss 2.2404 (2.3058) Prec@1 47.656 (47.305) Prec@5 75.391 (72.614)
Epoch: [98][1250/5005] Time 0.210 (0.214) Data 0.047 (0.048) Loss 2.4818 (2.3061) Prec@1 45.703 (47.293) Prec@5 67.969 (72.597)
Epoch: [98][1260/5005] Time 0.211 (0.214) Data 0.045 (0.048) Loss 2.1454 (2.3057) Prec@1 51.562 (47.302) Prec@5 76.172 (72.610)
Epoch: [98][1270/5005] Time 0.206 (0.214) Data 0.046 (0.048) Loss 2.3655 (2.3061) Prec@1 47.266 (47.298) Prec@5 71.875 (72.600)
Epoch: [98][1280/5005] Time 0.218 (0.214) Data 0.047 (0.048) Loss 2.2772 (2.3064) Prec@1 49.219 (47.294) Prec@5 73.438 (72.603)
Epoch: [98][1290/5005] Time 0.214 (0.214) Data 0.046 (0.048) Loss 2.0482 (2.3060) Prec@1 53.125 (47.302) Prec@5 75.781 (72.607)
Epoch: [98][1300/5005] Time 0.209 (0.214) Data 0.048 (0.048) Loss 2.2692 (2.3058) Prec@1 48.438 (47.308) Prec@5 75.781 (72.617)
Epoch: [98][1310/5005] Time 0.212 (0.214) Data 0.043 (0.048) Loss 2.1939 (2.3055) Prec@1 50.781 (47.311) Prec@5 74.609 (72.631)
Epoch: [98][1320/5005] Time 0.210 (0.214) Data 0.053 (0.048) Loss 2.3704 (2.3053) Prec@1 46.875 (47.313) Prec@5 71.484 (72.637)
Epoch: [98][1330/5005] Time 0.210 (0.214) Data 0.050 (0.048) Loss 2.4899 (2.3056) Prec@1 44.922 (47.315) Prec@5 67.578 (72.629)
Epoch: [98][1340/5005] Time 0.214 (0.214) Data 0.043 (0.048) Loss 2.2566 (2.3057) Prec@1 50.000 (47.317) Prec@5 70.703 (72.630)
Epoch: [98][1350/5005] Time 0.215 (0.214) Data 0.044 (0.048) Loss 2.6386 (2.3063) Prec@1 43.750 (47.299) Prec@5 69.531 (72.619)
Epoch: [98][1360/5005] Time 0.212 (0.214) Data 0.042 (0.048) Loss 2.2776 (2.3059) Prec@1 49.609 (47.306) Prec@5 71.484 (72.619)
Epoch: [98][1370/5005] Time 0.207 (0.214) Data 0.051 (0.048) Loss 2.3356 (2.3057) Prec@1 47.266 (47.311) Prec@5 72.656 (72.623)
Epoch: [98][1380/5005] Time 0.204 (0.214) Data 0.046 (0.048) Loss 2.2714 (2.3055) Prec@1 50.391 (47.317) Prec@5 74.609 (72.628)
Epoch: [98][1390/5005] Time 0.210 (0.214) Data 0.045 (0.048) Loss 2.2049 (2.3057) Prec@1 51.562 (47.323) Prec@5 73.828 (72.627)
Epoch: [98][1400/5005] Time 0.213 (0.214) Data 0.042 (0.048) Loss 2.2837 (2.3049) Prec@1 46.484 (47.334) Prec@5 70.312 (72.636)
Epoch: [98][1410/5005] Time 0.212 (0.214) Data 0.044 (0.048) Loss 2.2455 (2.3048) Prec@1 52.344 (47.335) Prec@5 72.656 (72.636)
Epoch: [98][1420/5005] Time 0.211 (0.214) Data 0.043 (0.048) Loss 2.5086 (2.3052) Prec@1 43.359 (47.331) Prec@5 67.969 (72.633)
Epoch: [98][1430/5005] Time 0.212 (0.213) Data 0.045 (0.048) Loss 2.0526 (2.3050) Prec@1 51.953 (47.336) Prec@5 75.781 (72.637)
Epoch: [98][1440/5005] Time 0.212 (0.213) Data 0.042 (0.048) Loss 2.2054 (2.3048) Prec@1 51.562 (47.337) Prec@5 77.734 (72.643)
Epoch: [98][1450/5005] Time 0.210 (0.213) Data 0.043 (0.048) Loss 2.2948 (2.3048) Prec@1 47.266 (47.331) Prec@5 73.047 (72.637)
Epoch: [98][1460/5005] Time 0.211 (0.213) Data 0.042 (0.048) Loss 2.3297 (2.3047) Prec@1 46.484 (47.334) Prec@5 71.484 (72.643)
Epoch: [98][1470/5005] Time 0.199 (0.213) Data 0.051 (0.048) Loss 2.4313 (2.3048) Prec@1 43.359 (47.331) Prec@5 70.703 (72.640)
Epoch: [98][1480/5005] Time 0.210 (0.213) Data 0.044 (0.048) Loss 2.1212 (2.3048) Prec@1 55.469 (47.335) Prec@5 75.000 (72.644)
Epoch: [98][1490/5005] Time 0.206 (0.213) Data 0.047 (0.048) Loss 2.5182 (2.3048) Prec@1 42.578 (47.329) Prec@5 69.531 (72.646)
Epoch: [98][1500/5005] Time 0.209 (0.213) Data 0.060 (0.048) Loss 2.2417 (2.3047) Prec@1 48.438 (47.331) Prec@5 73.828 (72.642)
Epoch: [98][1510/5005] Time 0.209 (0.213) Data 0.044 (0.048) Loss 2.1622 (2.3043) Prec@1 50.781 (47.343) Prec@5 74.609 (72.651)
Epoch: [98][1520/5005] Time 0.199 (0.213) Data 0.045 (0.048) Loss 2.4454 (2.3040) Prec@1 44.141 (47.343) Prec@5 69.141 (72.655)
Epoch: [98][1530/5005] Time 0.209 (0.213) Data 0.046 (0.048) Loss 2.4822 (2.3041) Prec@1 45.703 (47.344) Prec@5 68.750 (72.652)
Epoch: [98][1540/5005] Time 0.210 (0.213) Data 0.047 (0.048) Loss 2.3772 (2.3043) Prec@1 48.047 (47.335) Prec@5 69.922 (72.647)
Epoch: [98][1550/5005] Time 0.200 (0.213) Data 0.045 (0.048) Loss 2.2241 (2.3041) Prec@1 46.094 (47.338) Prec@5 74.219 (72.645)
Epoch: [98][1560/5005] Time 0.210 (0.213) Data 0.045 (0.048) Loss 2.1966 (2.3042) Prec@1 49.219 (47.341) Prec@5 73.828 (72.647)
Epoch: [98][1570/5005] Time 0.203 (0.213) Data 0.048 (0.048) Loss 2.2003 (2.3038) Prec@1 46.484 (47.347) Prec@5 76.562 (72.656)
Epoch: [98][1580/5005] Time 0.221 (0.213) Data 0.048 (0.048) Loss 2.1383 (2.3039) Prec@1 48.438 (47.337) Prec@5 76.172 (72.652)
Epoch: [98][1590/5005] Time 0.209 (0.213) Data 0.045 (0.048) Loss 2.3443 (2.3039) Prec@1 48.047 (47.334) Prec@5 69.922 (72.649)
Epoch: [98][1600/5005] Time 0.209 (0.213) Data 0.046 (0.048) Loss 2.2250 (2.3039) Prec@1 49.609 (47.335) Prec@5 74.219 (72.650)
Epoch: [98][1610/5005] Time 0.212 (0.213) Data 0.043 (0.048) Loss 2.4156 (2.3039) Prec@1 46.094 (47.335) Prec@5 69.531 (72.651)
Epoch: [98][1620/5005] Time 0.219 (0.213) Data 0.042 (0.048) Loss 2.4806 (2.3038) Prec@1 44.141 (47.337) Prec@5 71.484 (72.655)
Epoch: [98][1630/5005] Time 0.214 (0.213) Data 0.043 (0.048) Loss 2.2699 (2.3038) Prec@1 48.438 (47.336) Prec@5 72.656 (72.654)
Epoch: [98][1640/5005] Time 0.211 (0.213) Data 0.044 (0.048) Loss 2.4230 (2.3041) Prec@1 50.000 (47.338) Prec@5 73.047 (72.653)
Epoch: [98][1650/5005] Time 0.205 (0.213) Data 0.043 (0.048) Loss 2.3168 (2.3040) Prec@1 47.656 (47.343) Prec@5 72.266 (72.653)
Epoch: [98][1660/5005] Time 0.214 (0.213) Data 0.044 (0.048) Loss 2.1784 (2.3033) Prec@1 51.172 (47.360) Prec@5 74.219 (72.664)
Epoch: [98][1670/5005] Time 0.214 (0.213) Data 0.043 (0.048) Loss 1.9905 (2.3033) Prec@1 53.906 (47.359) Prec@5 78.906 (72.661)
Epoch: [98][1680/5005] Time 0.201 (0.213) Data 0.043 (0.048) Loss 2.4773 (2.3038) Prec@1 48.438 (47.357) Prec@5 68.750 (72.654)
Epoch: [98][1690/5005] Time 0.211 (0.213) Data 0.048 (0.048) Loss 2.1942 (2.3036) Prec@1 47.266 (47.360) Prec@5 74.609 (72.657)
Epoch: [98][1700/5005] Time 0.214 (0.213) Data 0.043 (0.048) Loss 2.3116 (2.3031) Prec@1 45.703 (47.363) Prec@5 71.094 (72.666)
Epoch: [98][1710/5005] Time 0.213 (0.213) Data 0.043 (0.048) Loss 2.1799 (2.3027) Prec@1 48.047 (47.365) Prec@5 73.438 (72.673)
Epoch: [98][1720/5005] Time 0.205 (0.213) Data 0.046 (0.048) Loss 2.3138 (2.3029) Prec@1 40.625 (47.358) Prec@5 73.438 (72.669)
Epoch: [98][1730/5005] Time 0.220 (0.213) Data 0.043 (0.048) Loss 2.2148 (2.3028) Prec@1 46.094 (47.359) Prec@5 71.875 (72.671)
Epoch: [98][1740/5005] Time 0.202 (0.213) Data 0.042 (0.048) Loss 2.6129 (2.3027) Prec@1 41.406 (47.359) Prec@5 66.406 (72.673)
Epoch: [98][1750/5005] Time 0.207 (0.213) Data 0.042 (0.048) Loss 2.2080 (2.3026) Prec@1 48.828 (47.364) Prec@5 74.219 (72.675)
Epoch: [98][1760/5005] Time 0.209 (0.213) Data 0.044 (0.048) Loss 2.0256 (2.3023) Prec@1 55.078 (47.372) Prec@5 78.906 (72.680)
Epoch: [98][1770/5005] Time 0.217 (0.213) Data 0.044 (0.048) Loss 2.3912 (2.3021) Prec@1 45.703 (47.377) Prec@5 69.141 (72.686)
Epoch: [98][1780/5005] Time 0.206 (0.213) Data 0.058 (0.048) Loss 2.1861 (2.3021) Prec@1 46.484 (47.374) Prec@5 72.656 (72.687)
Epoch: [98][1790/5005] Time 0.214 (0.213) Data 0.043 (0.048) Loss 2.1184 (2.3020) Prec@1 52.344 (47.370) Prec@5 74.609 (72.686)
Epoch: [98][1800/5005] Time 0.210 (0.213) Data 0.044 (0.048) Loss 2.2708 (2.3019) Prec@1 49.219 (47.370) Prec@5 72.266 (72.687)
Epoch: [98][1810/5005] Time 0.201 (0.213) Data 0.046 (0.047) Loss 2.2727 (2.3019) Prec@1 48.828 (47.371) Prec@5 74.609 (72.690)
Epoch: [98][1820/5005] Time 0.211 (0.213) Data 0.047 (0.047) Loss 2.3451 (2.3019) Prec@1 47.656 (47.371) Prec@5 75.000 (72.693)
Epoch: [98][1830/5005] Time 0.208 (0.213) Data 0.050 (0.047) Loss 2.0539 (2.3016) Prec@1 52.344 (47.374) Prec@5 80.078 (72.700)
Epoch: [98][1840/5005] Time 0.217 (0.213) Data 0.045 (0.047) Loss 2.3950 (2.3015) Prec@1 42.578 (47.376) Prec@5 70.312 (72.700)
Epoch: [98][1850/5005] Time 0.212 (0.213) Data 0.049 (0.047) Loss 2.3407 (2.3014) Prec@1 45.703 (47.383) Prec@5 73.828 (72.702)
Epoch: [98][1860/5005] Time 0.214 (0.213) Data 0.048 (0.048) Loss 2.3453 (2.3015) Prec@1 50.391 (47.385) Prec@5 74.609 (72.706)
Epoch: [98][1870/5005] Time 0.206 (0.213) Data 0.047 (0.048) Loss 2.4592 (2.3019) Prec@1 44.922 (47.374) Prec@5 70.703 (72.701)
Epoch: [98][1880/5005] Time 0.199 (0.213) Data 0.043 (0.048) Loss 2.3533 (2.3022) Prec@1 46.875 (47.371) Prec@5 71.094 (72.696)
Epoch: [98][1890/5005] Time 0.211 (0.213) Data 0.044 (0.047) Loss 2.2541 (2.3021) Prec@1 50.781 (47.374) Prec@5 74.219 (72.699)
Epoch: [98][1900/5005] Time 0.210 (0.213) Data 0.044 (0.047) Loss 2.2604 (2.3024) Prec@1 51.172 (47.370) Prec@5 74.609 (72.695)
Epoch: [98][1910/5005] Time 0.214 (0.213) Data 0.045 (0.047) Loss 2.1799 (2.3023) Prec@1 46.094 (47.374) Prec@5 75.000 (72.697)
Epoch: [98][1920/5005] Time 0.211 (0.213) Data 0.043 (0.047) Loss 2.2755 (2.3021) Prec@1 47.266 (47.373) Prec@5 73.828 (72.700)
Epoch: [98][1930/5005] Time 0.197 (0.212) Data 0.051 (0.047) Loss 2.1633 (2.3019) Prec@1 52.344 (47.377) Prec@5 74.219 (72.702)
Epoch: [98][1940/5005] Time 0.209 (0.212) Data 0.043 (0.047) Loss 2.0608 (2.3015) Prec@1 53.516 (47.382) Prec@5 75.391 (72.710)
Epoch: [98][1950/5005] Time 0.196 (0.212) Data 0.059 (0.047) Loss 2.3856 (2.3017) Prec@1 49.219 (47.378) Prec@5 72.266 (72.711)
Epoch: [98][1960/5005] Time 0.207 (0.212) Data 0.043 (0.047) Loss 2.2207 (2.3015) Prec@1 47.656 (47.383) Prec@5 76.953 (72.716)
Epoch: [98][1970/5005] Time 0.217 (0.212) Data 0.047 (0.048) Loss 2.3621 (2.3017) Prec@1 45.312 (47.376) Prec@5 73.047 (72.715)
Epoch: [98][1980/5005] Time 0.202 (0.212) Data 0.047 (0.048) Loss 2.1158 (2.3018) Prec@1 49.219 (47.371) Prec@5 74.219 (72.717)
Epoch: [98][1990/5005] Time 0.203 (0.213) Data 0.042 (0.048) Loss 2.1143 (2.3014) Prec@1 51.172 (47.380) Prec@5 73.828 (72.722)
Epoch: [98][2000/5005] Time 0.203 (0.213) Data 0.047 (0.048) Loss 2.1947 (2.3015) Prec@1 50.781 (47.376) Prec@5 76.562 (72.725)
Epoch: [98][2010/5005] Time 0.206 (0.213) Data 0.044 (0.048) Loss 2.0232 (2.3015) Prec@1 55.859 (47.377) Prec@5 77.734 (72.725)
Epoch: [98][2020/5005] Time 0.204 (0.213) Data 0.043 (0.048) Loss 2.2218 (2.3016) Prec@1 50.000 (47.376) Prec@5 75.391 (72.718)
Epoch: [98][2030/5005] Time 0.205 (0.213) Data 0.043 (0.048) Loss 2.2920 (2.3017) Prec@1 50.391 (47.377) Prec@5 71.094 (72.716)
Epoch: [98][2040/5005] Time 0.202 (0.213) Data 0.051 (0.048) Loss 2.0085 (2.3017) Prec@1 50.781 (47.375) Prec@5 76.172 (72.718)
Epoch: [98][2050/5005] Time 0.207 (0.213) Data 0.047 (0.048) Loss 2.5372 (2.3016) Prec@1 46.094 (47.378) Prec@5 67.969 (72.721)
Epoch: [98][2060/5005] Time 0.208 (0.213) Data 0.049 (0.048) Loss 2.1714 (2.3017) Prec@1 48.047 (47.373) Prec@5 73.047 (72.721)
Epoch: [98][2070/5005] Time 0.202 (0.213) Data 0.050 (0.048) Loss 2.4938 (2.3021) Prec@1 43.359 (47.364) Prec@5 72.266 (72.718)
Epoch: [98][2080/5005] Time 0.203 (0.213) Data 0.044 (0.048) Loss 2.3684 (2.3021) Prec@1 47.266 (47.371) Prec@5 73.438 (72.719)
Epoch: [98][2090/5005] Time 0.209 (0.213) Data 0.047 (0.048) Loss 2.0844 (2.3017) Prec@1 53.125 (47.380) Prec@5 76.172 (72.724)
Epoch: [98][2100/5005] Time 0.217 (0.213) Data 0.044 (0.048) Loss 2.3417 (2.3016) Prec@1 44.141 (47.379) Prec@5 71.094 (72.724)
Epoch: [98][2110/5005] Time 0.216 (0.213) Data 0.045 (0.048) Loss 2.0698 (2.3017) Prec@1 52.344 (47.378) Prec@5 75.781 (72.721)
Epoch: [98][2120/5005] Time 0.212 (0.213) Data 0.043 (0.048) Loss 2.3431 (2.3014) Prec@1 44.922 (47.380) Prec@5 71.094 (72.724)
Epoch: [98][2130/5005] Time 0.206 (0.213) Data 0.040 (0.048) Loss 2.2684 (2.3010) Prec@1 53.516 (47.390) Prec@5 76.562 (72.733)
Epoch: [98][2140/5005] Time 0.212 (0.213) Data 0.042 (0.048) Loss 2.2447 (2.3009) Prec@1 50.391 (47.392) Prec@5 70.312 (72.733)
Epoch: [98][2150/5005] Time 0.213 (0.213) Data 0.043 (0.048) Loss 2.0763 (2.3008) Prec@1 48.438 (47.395) Prec@5 76.172 (72.735)
Epoch: [98][2160/5005] Time 0.200 (0.213) Data 0.041 (0.048) Loss 2.2400 (2.3009) Prec@1 50.781 (47.393) Prec@5 71.484 (72.735)
Epoch: [98][2170/5005] Time 0.197 (0.213) Data 0.047 (0.048) Loss 2.0459 (2.3005) Prec@1 50.391 (47.403) Prec@5 78.906 (72.741)
Epoch: [98][2180/5005] Time 0.205 (0.212) Data 0.046 (0.048) Loss 2.3636 (2.3006) Prec@1 51.953 (47.398) Prec@5 71.484 (72.743)
Epoch: [98][2190/5005] Time 0.212 (0.212) Data 0.059 (0.048) Loss 2.5118 (2.3005) Prec@1 44.141 (47.399) Prec@5 68.750 (72.746)
Epoch: [98][2200/5005] Time 0.209 (0.212) Data 0.050 (0.048) Loss 2.2369 (2.3006) Prec@1 46.484 (47.393) Prec@5 73.438 (72.751)
Epoch: [98][2210/5005] Time 0.206 (0.212) Data 0.045 (0.048) Loss 2.3858 (2.3008) Prec@1 45.703 (47.389) Prec@5 70.703 (72.746)
Epoch: [98][2220/5005] Time 0.214 (0.212) Data 0.048 (0.048) Loss 2.4631 (2.3008) Prec@1 48.828 (47.388) Prec@5 70.312 (72.744)
Epoch: [98][2230/5005] Time 0.210 (0.212) Data 0.043 (0.048) Loss 2.4084 (2.3008) Prec@1 46.875 (47.389) Prec@5 70.703 (72.744)
Epoch: [98][2240/5005] Time 0.210 (0.212) Data 0.044 (0.048) Loss 2.1602 (2.3008) Prec@1 50.000 (47.389) Prec@5 75.781 (72.744)
Epoch: [98][2250/5005] Time 0.209 (0.212) Data 0.044 (0.048) Loss 2.1185 (2.3008) Prec@1 49.609 (47.388) Prec@5 75.000 (72.739)
Epoch: [98][2260/5005] Time 0.209 (0.212) Data 0.044 (0.048) Loss 2.1443 (2.3005) Prec@1 50.781 (47.393) Prec@5 74.219 (72.745)
Epoch: [98][2270/5005] Time 0.203 (0.212) Data 0.044 (0.048) Loss 2.3906 (2.3003) Prec@1 45.703 (47.395) Prec@5 69.922 (72.745)
Epoch: [98][2280/5005] Time 0.209 (0.212) Data 0.042 (0.047) Loss 2.2747 (2.3002) Prec@1 46.094 (47.396) Prec@5 73.828 (72.747)
Epoch: [98][2290/5005] Time 0.207 (0.212) Data 0.042 (0.047) Loss 2.2285 (2.3001) Prec@1 52.734 (47.402) Prec@5 74.219 (72.744)
Epoch: [98][2300/5005] Time 0.210 (0.212) Data 0.044 (0.047) Loss 2.2514 (2.3001) Prec@1 47.656 (47.404) Prec@5 74.219 (72.744)
Epoch: [98][2310/5005] Time 0.208 (0.212) Data 0.044 (0.047) Loss 2.1904 (2.3001) Prec@1 50.000 (47.403) Prec@5 74.219 (72.745)
Epoch: [98][2320/5005] Time 0.206 (0.212) Data 0.042 (0.047) Loss 2.3378 (2.3000) Prec@1 48.828 (47.406) Prec@5 70.312 (72.750)
Epoch: [98][2330/5005] Time 0.207 (0.212) Data 0.042 (0.047) Loss 2.1363 (2.2999) Prec@1 50.781 (47.406) Prec@5 77.734 (72.752)
Epoch: [98][2340/5005] Time 0.212 (0.212) Data 0.045 (0.047) Loss 2.2372 (2.2996) Prec@1 48.828 (47.412) Prec@5 73.047 (72.754)
Epoch: [98][2350/5005] Time 0.209 (0.212) Data 0.041 (0.047) Loss 2.3321 (2.2997) Prec@1 44.531 (47.406) Prec@5 73.438 (72.751)
Epoch: [98][2360/5005] Time 0.206 (0.212) Data 0.042 (0.047) Loss 2.4281 (2.2997) Prec@1 45.312 (47.409) Prec@5 70.703 (72.754)
Epoch: [98][2370/5005] Time 0.209 (0.212) Data 0.045 (0.047) Loss 2.3743 (2.2999) Prec@1 41.406 (47.403) Prec@5 71.484 (72.754)
Epoch: [98][2380/5005] Time 0.206 (0.212) Data 0.044 (0.047) Loss 2.3228 (2.2996) Prec@1 50.000 (47.410) Prec@5 71.484 (72.757)
Epoch: [98][2390/5005] Time 0.198 (0.212) Data 0.045 (0.047) Loss 2.4012 (2.2996) Prec@1 42.969 (47.410) Prec@5 71.094 (72.755)
Epoch: [98][2400/5005] Time 0.198 (0.212) Data 0.051 (0.047) Loss 2.3152 (2.2995) Prec@1 47.656 (47.411) Prec@5 74.609 (72.762)
Epoch: [98][2410/5005] Time 0.213 (0.212) Data 0.045 (0.047) Loss 2.5098 (2.2997) Prec@1 40.234 (47.407) Prec@5 69.531 (72.760)
Epoch: [98][2420/5005] Time 0.206 (0.212) Data 0.062 (0.047) Loss 2.4195 (2.2995) Prec@1 44.531 (47.418) Prec@5 69.141 (72.762)
Epoch: [98][2430/5005] Time 0.216 (0.212) Data 0.042 (0.047) Loss 2.2130 (2.2997) Prec@1 48.828 (47.414) Prec@5 72.656 (72.757)
Epoch: [98][2440/5005] Time 0.192 (0.212) Data 0.052 (0.047) Loss 2.1572 (2.2997) Prec@1 46.875 (47.420) Prec@5 74.609 (72.755)
Epoch: [98][2450/5005] Time 0.211 (0.212) Data 0.043 (0.047) Loss 2.3529 (2.2995) Prec@1 48.047 (47.428) Prec@5 71.484 (72.758)
Epoch: [98][2460/5005] Time 0.210 (0.212) Data 0.043 (0.047) Loss 2.2274 (2.2992) Prec@1 41.797 (47.430) Prec@5 75.000 (72.762)
Epoch: [98][2470/5005] Time 0.208 (0.212) Data 0.047 (0.047) Loss 2.2588 (2.2992) Prec@1 48.828 (47.427) Prec@5 72.656 (72.760)
Epoch: [98][2480/5005] Time 0.209 (0.212) Data 0.043 (0.047) Loss 2.5914 (2.2995) Prec@1 40.625 (47.420) Prec@5 69.141 (72.757)
Epoch: [98][2490/5005] Time 0.206 (0.212) Data 0.040 (0.047) Loss 2.2120 (2.2995) Prec@1 52.734 (47.420) Prec@5 75.000 (72.758)
Epoch: [98][2500/5005] Time 0.201 (0.212) Data 0.048 (0.047) Loss 2.3918 (2.2995) Prec@1 48.047 (47.419) Prec@5 67.969 (72.753)
Epoch: [98][2510/5005] Time 0.214 (0.212) Data 0.043 (0.047) Loss 2.4949 (2.2996) Prec@1 43.359 (47.413) Prec@5 73.438 (72.753)
Epoch: [98][2520/5005] Time 0.201 (0.212) Data 0.047 (0.047) Loss 2.4085 (2.2996) Prec@1 46.875 (47.411) Prec@5 70.312 (72.757)
Epoch: [98][2530/5005] Time 0.205 (0.212) Data 0.046 (0.047) Loss 2.5358 (2.2996) Prec@1 46.484 (47.413) Prec@5 69.141 (72.756)
Epoch: [98][2540/5005] Time 0.197 (0.212) Data 0.049 (0.047) Loss 2.2272 (2.2995) Prec@1 48.047 (47.410) Prec@5 75.391 (72.753)
Epoch: [98][2550/5005] Time 0.200 (0.212) Data 0.046 (0.047) Loss 2.2328 (2.2994) Prec@1 42.969 (47.411) Prec@5 77.344 (72.756)
Epoch: [98][2560/5005] Time 0.210 (0.212) Data 0.045 (0.047) Loss 2.5214 (2.2996) Prec@1 44.531 (47.409) Prec@5 69.141 (72.755)
Epoch: [98][2570/5005] Time 0.213 (0.212) Data 0.043 (0.047) Loss 2.3450 (2.2997) Prec@1 41.797 (47.406) Prec@5 74.609 (72.755)
Epoch: [98][2580/5005] Time 0.201 (0.212) Data 0.045 (0.047) Loss 2.3497 (2.2999) Prec@1 44.141 (47.404) Prec@5 71.875 (72.749)
Epoch: [98][2590/5005] Time 0.202 (0.212) Data 0.059 (0.047) Loss 2.3870 (2.2996) Prec@1 51.172 (47.414) Prec@5 73.047 (72.755)
Epoch: [98][2600/5005] Time 0.211 (0.212) Data 0.053 (0.047) Loss 2.3446 (2.2999) Prec@1 47.266 (47.405) Prec@5 73.047 (72.749)
Epoch: [98][2610/5005] Time 0.209 (0.212) Data 0.045 (0.047) Loss 2.4331 (2.2999) Prec@1 47.656 (47.408) Prec@5 69.531 (72.749)
Epoch: [98][2620/5005] Time 0.217 (0.212) Data 0.048 (0.047) Loss 2.0871 (2.2996) Prec@1 50.781 (47.415) Prec@5 78.125 (72.754)
Epoch: [98][2630/5005] Time 0.211 (0.212) Data 0.042 (0.047) Loss 2.5575 (2.3000) Prec@1 44.922 (47.412) Prec@5 71.484 (72.751)
Epoch: [98][2640/5005] Time 0.213 (0.212) Data 0.042 (0.047) Loss 2.3742 (2.3000) Prec@1 46.094 (47.410) Prec@5 72.266 (72.750)
Epoch: [98][2650/5005] Time 0.210 (0.212) Data 0.047 (0.047) Loss 2.5510 (2.3000) Prec@1 42.188 (47.408) Prec@5 69.141 (72.751)
Epoch: [98][2660/5005] Time 0.210 (0.212) Data 0.047 (0.047) Loss 2.2807 (2.3001) Prec@1 45.703 (47.402) Prec@5 73.828 (72.748)
Epoch: [98][2670/5005] Time 0.209 (0.212) Data 0.045 (0.047) Loss 1.9992 (2.2998) Prec@1 47.656 (47.405) Prec@5 79.297 (72.754)
Epoch: [98][2680/5005] Time 0.208 (0.212) Data 0.049 (0.047) Loss 2.1673 (2.2996) Prec@1 51.172 (47.410) Prec@5 74.609 (72.755)
Epoch: [98][2690/5005] Time 0.201 (0.212) Data 0.058 (0.047) Loss 2.2011 (2.2995) Prec@1 50.391 (47.410) Prec@5 73.828 (72.755)
Epoch: [98][2700/5005] Time 0.207 (0.212) Data 0.051 (0.047) Loss 2.2902 (2.2997) Prec@1 45.703 (47.405) Prec@5 70.312 (72.753)
Epoch: [98][2710/5005] Time 0.212 (0.212) Data 0.047 (0.047) Loss 2.2885 (2.2998) Prec@1 47.266 (47.405) Prec@5 73.047 (72.752)
Epoch: [98][2720/5005] Time 0.212 (0.212) Data 0.042 (0.047) Loss 2.1489 (2.2998) Prec@1 50.391 (47.406) Prec@5 77.734 (72.756)
Epoch: [98][2730/5005] Time 0.208 (0.212) Data 0.043 (0.047) Loss 2.3377 (2.2998) Prec@1 47.656 (47.407) Prec@5 70.312 (72.757)
Epoch: [98][2740/5005] Time 0.200 (0.212) Data 0.057 (0.047) Loss 2.1805 (2.2997) Prec@1 47.656 (47.409) Prec@5 73.047 (72.756)
Epoch: [98][2750/5005] Time 0.206 (0.212) Data 0.057 (0.047) Loss 2.3450 (2.2996) Prec@1 44.922 (47.409) Prec@5 70.703 (72.754)
Epoch: [98][2760/5005] Time 0.201 (0.212) Data 0.057 (0.047) Loss 2.3470 (2.2994) Prec@1 49.609 (47.414) Prec@5 71.875 (72.757)
Epoch: [98][2770/5005] Time 0.208 (0.212) Data 0.048 (0.047) Loss 2.2705 (2.2995) Prec@1 46.094 (47.416) Prec@5 73.047 (72.756)
Epoch: [98][2780/5005] Time 0.200 (0.212) Data 0.057 (0.047) Loss 2.5531 (2.2996) Prec@1 42.578 (47.417) Prec@5 67.969 (72.756)
Epoch: [98][2790/5005] Time 0.209 (0.211) Data 0.042 (0.047) Loss 2.5681 (2.2998) Prec@1 38.672 (47.415) Prec@5 69.141 (72.753)
Epoch: [98][2800/5005] Time 0.196 (0.211) Data 0.050 (0.047) Loss 2.0107 (2.2996) Prec@1 57.031 (47.418) Prec@5 79.297 (72.757)
Epoch: [98][2810/5005] Time 0.204 (0.211) Data 0.061 (0.047) Loss 2.5852 (2.2997) Prec@1 42.578 (47.415) Prec@5 68.750 (72.756)
Epoch: [98][2820/5005] Time 0.198 (0.211) Data 0.043 (0.047) Loss 2.0295 (2.2996) Prec@1 48.828 (47.416) Prec@5 75.391 (72.758)
Epoch: [98][2830/5005] Time 0.208 (0.211) Data 0.044 (0.047) Loss 2.5436 (2.2998) Prec@1 45.703 (47.414) Prec@5 69.531 (72.756)
Epoch: [98][2840/5005] Time 0.209 (0.211) Data 0.043 (0.047) Loss 2.3978 (2.2998) Prec@1 46.094 (47.412) Prec@5 71.484 (72.753)
Epoch: [98][2850/5005] Time 0.218 (0.211) Data 0.047 (0.047) Loss 2.3567 (2.2997) Prec@1 50.391 (47.415) Prec@5 70.703 (72.757)
Epoch: [98][2860/5005] Time 0.203 (0.211) Data 0.041 (0.047) Loss 2.2780 (2.2997) Prec@1 50.781 (47.415) Prec@5 73.438 (72.756)
Epoch: [98][2870/5005] Time 0.205 (0.211) Data 0.042 (0.047) Loss 2.1515 (2.2995) Prec@1 50.000 (47.422) Prec@5 75.781 (72.764)
Epoch: [98][2880/5005] Time 0.205 (0.211) Data 0.043 (0.047) Loss 2.2326 (2.2994) Prec@1 47.266 (47.423) Prec@5 76.953 (72.767)
Epoch: [98][2890/5005] Time 0.204 (0.211) Data 0.044 (0.047) Loss 2.2978 (2.2992) Prec@1 42.578 (47.427) Prec@5 73.438 (72.770)
Epoch: [98][2900/5005] Time 0.213 (0.211) Data 0.042 (0.047) Loss 2.0515 (2.2989) Prec@1 51.562 (47.434) Prec@5 77.734 (72.777)
Epoch: [98][2910/5005] Time 0.211 (0.211) Data 0.042 (0.047) Loss 2.3600 (2.2990) Prec@1 42.188 (47.434) Prec@5 72.656 (72.774)
Epoch: [98][2920/5005] Time 0.209 (0.211) Data 0.048 (0.047) Loss 2.5434 (2.2990) Prec@1 41.016 (47.435) Prec@5 68.359 (72.774)
Epoch: [98][2930/5005] Time 0.197 (0.211) Data 0.042 (0.047) Loss 2.3990 (2.2989) Prec@1 42.969 (47.437) Prec@5 71.875 (72.775)
Epoch: [98][2940/5005] Time 0.214 (0.211) Data 0.040 (0.047) Loss 2.3281 (2.2988) Prec@1 46.094 (47.437) Prec@5 71.875 (72.779)
Epoch: [98][2950/5005] Time 0.211 (0.211) Data 0.042 (0.047) Loss 2.5109 (2.2987) Prec@1 44.531 (47.443) Prec@5 69.531 (72.783)
Epoch: [98][2960/5005] Time 0.208 (0.211) Data 0.045 (0.047) Loss 2.2547 (2.2985) Prec@1 48.828 (47.445) Prec@5 72.656 (72.784)
Epoch: [98][2970/5005] Time 0.210 (0.211) Data 0.048 (0.047) Loss 2.3298 (2.2983) Prec@1 44.922 (47.449) Prec@5 73.047 (72.788)
Epoch: [98][2980/5005] Time 0.211 (0.211) Data 0.043 (0.047) Loss 2.3185 (2.2984) Prec@1 48.828 (47.447) Prec@5 71.875 (72.787)
Epoch: [98][2990/5005] Time 0.206 (0.211) Data 0.043 (0.047) Loss 2.2637 (2.2985) Prec@1 49.219 (47.442) Prec@5 74.219 (72.786)
Epoch: [98][3000/5005] Time 0.206 (0.211) Data 0.041 (0.047) Loss 2.3042 (2.2983) Prec@1 46.094 (47.442) Prec@5 72.656 (72.788)
Epoch: [98][3010/5005] Time 0.210 (0.211) Data 0.043 (0.047) Loss 2.2696 (2.2984) Prec@1 46.094 (47.438) Prec@5 75.391 (72.787)
Epoch: [98][3020/5005] Time 0.209 (0.211) Data 0.044 (0.047) Loss 2.1679 (2.2985) Prec@1 51.172 (47.436) Prec@5 76.953 (72.787)
Epoch: [98][3030/5005] Time 0.215 (0.211) Data 0.043 (0.047) Loss 2.3577 (2.2984) Prec@1 42.969 (47.436) Prec@5 71.484 (72.787)
Epoch: [98][3040/5005] Time 0.205 (0.211) Data 0.056 (0.047) Loss 2.2261 (2.2983) Prec@1 49.219 (47.441) Prec@5 72.266 (72.789)
Epoch: [98][3050/5005] Time 0.216 (0.211) Data 0.047 (0.047) Loss 2.3533 (2.2982) Prec@1 42.969 (47.440) Prec@5 73.047 (72.791)
Epoch: [98][3060/5005] Time 0.204 (0.211) Data 0.059 (0.047) Loss 2.1921 (2.2981) Prec@1 51.953 (47.441) Prec@5 77.344 (72.795)
Epoch: [98][3070/5005] Time 0.200 (0.211) Data 0.044 (0.047) Loss 2.2768 (2.2981) Prec@1 44.531 (47.439) Prec@5 75.391 (72.796)
Epoch: [98][3080/5005] Time 0.209 (0.211) Data 0.042 (0.047) Loss 2.2362 (2.2981) Prec@1 49.609 (47.437) Prec@5 68.750 (72.794)
Epoch: [98][3090/5005] Time 0.212 (0.211) Data 0.043 (0.047) Loss 2.5690 (2.2982) Prec@1 41.797 (47.435) Prec@5 70.312 (72.793)
Epoch: [98][3100/5005] Time 0.209 (0.211) Data 0.044 (0.047) Loss 2.3361 (2.2982) Prec@1 46.484 (47.434) Prec@5 73.047 (72.795)
Epoch: [98][3110/5005] Time 0.215 (0.211) Data 0.043 (0.047) Loss 2.0709 (2.2980) Prec@1 51.562 (47.436) Prec@5 77.344 (72.798)
Epoch: [98][3120/5005] Time 0.213 (0.211) Data 0.040 (0.047) Loss 2.3859 (2.2979) Prec@1 47.656 (47.437) Prec@5 69.922 (72.800)
Epoch: [98][3130/5005] Time 0.197 (0.211) Data 0.052 (0.047) Loss 2.5060 (2.2979) Prec@1 39.844 (47.436) Prec@5 67.578 (72.801)
Epoch: [98][3140/5005] Time 0.208 (0.211) Data 0.045 (0.047) Loss 2.1309 (2.2977) Prec@1 51.953 (47.438) Prec@5 72.656 (72.803)
Epoch: [98][3150/5005] Time 0.212 (0.211) Data 0.041 (0.047) Loss 2.2003 (2.2976) Prec@1 49.609 (47.440) Prec@5 75.391 (72.806)
Epoch: [98][3160/5005] Time 0.207 (0.211) Data 0.044 (0.047) Loss 2.1618 (2.2976) Prec@1 51.562 (47.444) Prec@5 76.172 (72.804)
Epoch: [98][3170/5005] Time 0.207 (0.211) Data 0.043 (0.047) Loss 2.2950 (2.2976) Prec@1 45.703 (47.444) Prec@5 71.484 (72.805)
Epoch: [98][3180/5005] Time 0.203 (0.211) Data 0.042 (0.047) Loss 2.0611 (2.2977) Prec@1 51.562 (47.440) Prec@5 76.562 (72.807)
Epoch: [98][3190/5005] Time 0.205 (0.211) Data 0.042 (0.047) Loss 2.3442 (2.2979) Prec@1 46.484 (47.437) Prec@5 71.875 (72.808)
Epoch: [98][3200/5005] Time 0.208 (0.211) Data 0.043 (0.047) Loss 2.2690 (2.2977) Prec@1 45.703 (47.438) Prec@5 74.609 (72.811)
Epoch: [98][3210/5005] Time 0.212 (0.211) Data 0.043 (0.047) Loss 2.3342 (2.2976) Prec@1 46.875 (47.440) Prec@5 74.609 (72.813)
Epoch: [98][3220/5005] Time 0.212 (0.211) Data 0.045 (0.047) Loss 2.3544 (2.2976) Prec@1 50.391 (47.443) Prec@5 71.875 (72.812)
Epoch: [98][3230/5005] Time 0.223 (0.211) Data 0.046 (0.047) Loss 2.2739 (2.2974) Prec@1 48.828 (47.448) Prec@5 71.484 (72.811)
Epoch: [98][3240/5005] Time 0.203 (0.211) Data 0.045 (0.047) Loss 2.5716 (2.2977) Prec@1 39.062 (47.440) Prec@5 68.359 (72.805)
Epoch: [98][3250/5005] Time 0.213 (0.211) Data 0.045 (0.047) Loss 2.2539 (2.2978) Prec@1 50.391 (47.442) Prec@5 74.609 (72.805)
Epoch: [98][3260/5005] Time 0.204 (0.211) Data 0.042 (0.047) Loss 2.3198 (2.2979) Prec@1 44.922 (47.439) Prec@5 73.828 (72.806)
Epoch: [98][3270/5005] Time 0.211 (0.211) Data 0.043 (0.047) Loss 2.4903 (2.2977) Prec@1 48.047 (47.444) Prec@5 67.969 (72.809)
Epoch: [98][3280/5005] Time 0.208 (0.211) Data 0.042 (0.047) Loss 2.1470 (2.2978) Prec@1 47.266 (47.442) Prec@5 78.125 (72.808)
Epoch: [98][3290/5005] Time 0.207 (0.211) Data 0.045 (0.047) Loss 2.2936 (2.2977) Prec@1 50.391 (47.445) Prec@5 73.828 (72.809)
Epoch: [98][3300/5005] Time 0.208 (0.211) Data 0.041 (0.047) Loss 2.2357 (2.2978) Prec@1 48.828 (47.447) Prec@5 72.656 (72.808)
Epoch: [98][3310/5005] Time 0.208 (0.211) Data 0.043 (0.047) Loss 2.2589 (2.2978) Prec@1 46.094 (47.445) Prec@5 75.000 (72.808)
Epoch: [98][3320/5005] Time 0.199 (0.211) Data 0.044 (0.047) Loss 2.3964 (2.2977) Prec@1 47.656 (47.446) Prec@5 71.875 (72.809)
Epoch: [98][3330/5005] Time 0.211 (0.211) Data 0.043 (0.047) Loss 2.3208 (2.2978) Prec@1 47.656 (47.444) Prec@5 71.094 (72.807)
Epoch: [98][3340/5005] Time 0.211 (0.211) Data 0.044 (0.047) Loss 2.5323 (2.2979) Prec@1 44.922 (47.445) Prec@5 70.312 (72.808)
Epoch: [98][3350/5005] Time 0.207 (0.211) Data 0.041 (0.047) Loss 2.3547 (2.2979) Prec@1 46.875 (47.447) Prec@5 71.484 (72.810)
Epoch: [98][3360/5005] Time 0.209 (0.211) Data 0.044 (0.047) Loss 2.1649 (2.2979) Prec@1 49.219 (47.446) Prec@5 75.391 (72.812)
Epoch: [98][3370/5005] Time 0.194 (0.211) Data 0.053 (0.047) Loss 2.3387 (2.2980) Prec@1 41.406 (47.441) Prec@5 74.219 (72.811)
Epoch: [98][3380/5005] Time 0.209 (0.211) Data 0.048 (0.047) Loss 2.3495 (2.2979) Prec@1 47.656 (47.441) Prec@5 73.047 (72.811)
Epoch: [98][3390/5005] Time 0.197 (0.211) Data 0.042 (0.047) Loss 2.2032 (2.2980) Prec@1 47.656 (47.441) Prec@5 74.609 (72.809)
Epoch: [98][3400/5005] Time 0.211 (0.211) Data 0.045 (0.047) Loss 2.2103 (2.2980) Prec@1 50.391 (47.444) Prec@5 74.609 (72.809)
Epoch: [98][3410/5005] Time 0.208 (0.211) Data 0.063 (0.047) Loss 2.2844 (2.2979) Prec@1 50.391 (47.448) Prec@5 75.000 (72.812)
Epoch: [98][3420/5005] Time 0.208 (0.211) Data 0.046 (0.047) Loss 2.2596 (2.2979) Prec@1 49.609 (47.445) Prec@5 73.047 (72.810)
Epoch: [98][3430/5005] Time 0.211 (0.211) Data 0.048 (0.047) Loss 2.3250 (2.2978) Prec@1 46.484 (47.449) Prec@5 70.312 (72.811)
Epoch: [98][3440/5005] Time 0.198 (0.211) Data 0.041 (0.047) Loss 2.2782 (2.2976) Prec@1 45.312 (47.453) Prec@5 71.484 (72.812)
Epoch: [98][3450/5005] Time 0.202 (0.211) Data 0.040 (0.047) Loss 2.1480 (2.2975) Prec@1 50.781 (47.453) Prec@5 75.391 (72.815)
Epoch: [98][3460/5005] Time 0.204 (0.211) Data 0.046 (0.047) Loss 2.2896 (2.2975) Prec@1 49.219 (47.456) Prec@5 71.875 (72.815)
Epoch: [98][3470/5005] Time 0.207 (0.211) Data 0.048 (0.047) Loss 2.1716 (2.2974) Prec@1 50.000 (47.459) Prec@5 74.609 (72.815)
Epoch: [98][3480/5005] Time 0.208 (0.211) Data 0.050 (0.047) Loss 2.1553 (2.2971) Prec@1 51.172 (47.465) Prec@5 73.047 (72.821)
Epoch: [98][3490/5005] Time 0.212 (0.211) Data 0.047 (0.047) Loss 2.4348 (2.2971) Prec@1 44.531 (47.466) Prec@5 72.656 (72.821)
Epoch: [98][3500/5005] Time 0.211 (0.211) Data 0.046 (0.047) Loss 2.1896 (2.2972) Prec@1 48.828 (47.465) Prec@5 76.562 (72.823)
Epoch: [98][3510/5005] Time 0.197 (0.211) Data 0.043 (0.047) Loss 2.1591 (2.2970) Prec@1 48.438 (47.465) Prec@5 74.219 (72.825)
Epoch: [98][3520/5005] Time 0.207 (0.211) Data 0.047 (0.047) Loss 2.4759 (2.2970) Prec@1 46.094 (47.463) Prec@5 70.312 (72.823)
Epoch: [98][3530/5005] Time 0.206 (0.211) Data 0.041 (0.047) Loss 2.2292 (2.2969) Prec@1 51.172 (47.467) Prec@5 73.828 (72.824)
Epoch: [98][3540/5005] Time 0.200 (0.211) Data 0.042 (0.047) Loss 2.0823 (2.2967) Prec@1 52.344 (47.473) Prec@5 75.391 (72.827)
Epoch: [98][3550/5005] Time 0.215 (0.211) Data 0.043 (0.047) Loss 2.4116 (2.2967) Prec@1 45.703 (47.476) Prec@5 70.312 (72.827)
Epoch: [98][3560/5005] Time 0.209 (0.211) Data 0.050 (0.047) Loss 2.4456 (2.2967) Prec@1 46.875 (47.475) Prec@5 69.531 (72.828)
Epoch: [98][3570/5005] Time 0.208 (0.211) Data 0.046 (0.047) Loss 2.3325 (2.2968) Prec@1 45.312 (47.473) Prec@5 71.875 (72.825)
Epoch: [98][3580/5005] Time 0.208 (0.211) Data 0.044 (0.047) Loss 2.1167 (2.2968) Prec@1 50.391 (47.471) Prec@5 75.000 (72.823)
Epoch: [98][3590/5005] Time 0.204 (0.211) Data 0.046 (0.047) Loss 2.3461 (2.2966) Prec@1 46.875 (47.472) Prec@5 73.438 (72.828)
Epoch: [98][3600/5005] Time 0.207 (0.211) Data 0.044 (0.047) Loss 2.3261 (2.2964) Prec@1 47.266 (47.473) Prec@5 70.703 (72.830)
Epoch: [98][3610/5005] Time 0.210 (0.211) Data 0.044 (0.047) Loss 2.2005 (2.2965) Prec@1 51.562 (47.473) Prec@5 74.219 (72.831)
Epoch: [98][3620/5005] Time 0.206 (0.211) Data 0.044 (0.047) Loss 2.5164 (2.2963) Prec@1 43.359 (47.481) Prec@5 67.578 (72.834)
Epoch: [98][3630/5005] Time 0.207 (0.211) Data 0.044 (0.047) Loss 2.5618 (2.2962) Prec@1 45.312 (47.481) Prec@5 66.797 (72.834)
Epoch: [98][3640/5005] Time 0.204 (0.211) Data 0.043 (0.047) Loss 2.3206 (2.2962) Prec@1 42.188 (47.480) Prec@5 71.875 (72.834)
Epoch: [98][3650/5005] Time 0.205 (0.211) Data 0.042 (0.047) Loss 2.1082 (2.2963) Prec@1 52.344 (47.477) Prec@5 79.297 (72.837)
Epoch: [98][3660/5005] Time 0.205 (0.211) Data 0.042 (0.047) Loss 2.3212 (2.2960) Prec@1 43.750 (47.483) Prec@5 72.266 (72.840)
Epoch: [98][3670/5005] Time 0.207 (0.211) Data 0.054 (0.047) Loss 2.5166 (2.2962) Prec@1 43.359 (47.480) Prec@5 67.578 (72.837)
Epoch: [98][3680/5005] Time 0.213 (0.211) Data 0.043 (0.047) Loss 2.2295 (2.2961) Prec@1 49.219 (47.482) Prec@5 72.656 (72.840)
Epoch: [98][3690/5005] Time 0.210 (0.211) Data 0.042 (0.047) Loss 2.2834 (2.2961) Prec@1 48.047 (47.485) Prec@5 73.047 (72.840)
Epoch: [98][3700/5005] Time 0.205 (0.211) Data 0.042 (0.047) Loss 2.1786 (2.2962) Prec@1 51.172 (47.482) Prec@5 76.172 (72.838)
Epoch: [98][3710/5005] Time 0.204 (0.211) Data 0.048 (0.047) Loss 2.2535 (2.2961) Prec@1 51.172 (47.481) Prec@5 73.438 (72.839)
Epoch: [98][3720/5005] Time 0.204 (0.211) Data 0.051 (0.047) Loss 2.3083 (2.2961) Prec@1 48.438 (47.483) Prec@5 73.828 (72.841)
Epoch: [98][3730/5005] Time 0.201 (0.211) Data 0.050 (0.047) Loss 2.0854 (2.2960) Prec@1 53.125 (47.488) Prec@5 77.344 (72.843)
Epoch: [98][3740/5005] Time 0.216 (0.211) Data 0.045 (0.047) Loss 2.2056 (2.2957) Prec@1 49.609 (47.493) Prec@5 72.656 (72.846)
Epoch: [98][3750/5005] Time 0.207 (0.211) Data 0.052 (0.047) Loss 2.1481 (2.2958) Prec@1 50.781 (47.490) Prec@5 74.609 (72.842)
Epoch: [98][3760/5005] Time 0.216 (0.211) Data 0.048 (0.047) Loss 2.2650 (2.2958) Prec@1 47.266 (47.486) Prec@5 71.875 (72.840)
Epoch: [98][3770/5005] Time 0.201 (0.211) Data 0.049 (0.047) Loss 2.4042 (2.2956) Prec@1 42.578 (47.488) Prec@5 71.875 (72.844)
Epoch: [98][3780/5005] Time 0.205 (0.211) Data 0.043 (0.047) Loss 2.2389 (2.2956) Prec@1 50.000 (47.489) Prec@5 71.875 (72.843)
Epoch: [98][3790/5005] Time 0.207 (0.211) Data 0.048 (0.047) Loss 2.2529 (2.2956) Prec@1 48.047 (47.486) Prec@5 75.391 (72.841)
Epoch: [98][3800/5005] Time 0.204 (0.211) Data 0.069 (0.047) Loss 2.1644 (2.2958) Prec@1 49.219 (47.483) Prec@5 73.438 (72.838)
Epoch: [98][3810/5005] Time 0.205 (0.211) Data 0.046 (0.047) Loss 2.2335 (2.2959) Prec@1 50.391 (47.478) Prec@5 71.875 (72.836)
Epoch: [98][3820/5005] Time 0.214 (0.211) Data 0.046 (0.047) Loss 2.1163 (2.2957) Prec@1 53.906 (47.481) Prec@5 76.953 (72.840)
Epoch: [98][3830/5005] Time 0.207 (0.210) Data 0.049 (0.047) Loss 2.1870 (2.2953) Prec@1 49.609 (47.485) Prec@5 74.609 (72.847)
Epoch: [98][3840/5005] Time 0.216 (0.210) Data 0.039 (0.047) Loss 2.6865 (2.2955) Prec@1 41.797 (47.480) Prec@5 67.188 (72.845)
Epoch: [98][3850/5005] Time 0.209 (0.210) Data 0.046 (0.047) Loss 2.3063 (2.2954) Prec@1 47.656 (47.480) Prec@5 72.266 (72.846)
Epoch: [98][3860/5005] Time 0.203 (0.210) Data 0.047 (0.047) Loss 2.1667 (2.2955) Prec@1 51.562 (47.481) Prec@5 72.656 (72.844)
Epoch: [98][3870/5005] Time 0.215 (0.210) Data 0.041 (0.047) Loss 2.2196 (2.2955) Prec@1 47.266 (47.479) Prec@5 75.391 (72.840)
Epoch: [98][3880/5005] Time 0.207 (0.210) Data 0.044 (0.047) Loss 2.2095 (2.2955) Prec@1 49.609 (47.481) Prec@5 72.656 (72.839)
Epoch: [98][3890/5005] Time 0.210 (0.210) Data 0.043 (0.047) Loss 2.5506 (2.2954) Prec@1 43.750 (47.481) Prec@5 70.312 (72.841)
Epoch: [98][3900/5005] Time 0.205 (0.210) Data 0.043 (0.047) Loss 2.4756 (2.2956) Prec@1 42.578 (47.478) Prec@5 68.750 (72.841)
Epoch: [98][3910/5005] Time 0.209 (0.210) Data 0.043 (0.047) Loss 2.2322 (2.2954) Prec@1 43.359 (47.482) Prec@5 73.438 (72.843)
Epoch: [98][3920/5005] Time 0.352 (0.211) Data 0.049 (0.047) Loss 2.2921 (2.2954) Prec@1 43.359 (47.481) Prec@5 74.219 (72.843)
Epoch: [98][3930/5005] Time 0.206 (0.211) Data 0.038 (0.047) Loss 2.2623 (2.2952) Prec@1 48.438 (47.483) Prec@5 71.094 (72.845)
Epoch: [98][3940/5005] Time 0.201 (0.211) Data 0.049 (0.047) Loss 2.3706 (2.2952) Prec@1 45.312 (47.485) Prec@5 67.578 (72.844)
Epoch: [98][3950/5005] Time 0.196 (0.211) Data 0.055 (0.047) Loss 2.1833 (2.2951) Prec@1 50.391 (47.489) Prec@5 76.562 (72.845)
Epoch: [98][3960/5005] Time 0.197 (0.211) Data 0.049 (0.047) Loss 2.2173 (2.2951) Prec@1 48.828 (47.488) Prec@5 73.828 (72.845)
Epoch: [98][3970/5005] Time 0.210 (0.211) Data 0.046 (0.047) Loss 2.1665 (2.2950) Prec@1 51.953 (47.491) Prec@5 73.438 (72.847)
Epoch: [98][3980/5005] Time 0.210 (0.211) Data 0.042 (0.047) Loss 2.0746 (2.2949) Prec@1 51.562 (47.494) Prec@5 78.125 (72.849)
Epoch: [98][3990/5005] Time 0.215 (0.211) Data 0.043 (0.047) Loss 2.4571 (2.2950) Prec@1 44.141 (47.490) Prec@5 71.094 (72.846)
Epoch: [98][4000/5005] Time 0.217 (0.211) Data 0.046 (0.047) Loss 2.2949 (2.2950) Prec@1 47.656 (47.490) Prec@5 71.875 (72.846)
Epoch: [98][4010/5005] Time 0.210 (0.211) Data 0.042 (0.047) Loss 2.3124 (2.2949) Prec@1 48.047 (47.492) Prec@5 72.656 (72.849)
Epoch: [98][4020/5005] Time 0.205 (0.211) Data 0.041 (0.047) Loss 2.4052 (2.2948) Prec@1 47.656 (47.494) Prec@5 72.266 (72.851)
Epoch: [98][4030/5005] Time 0.213 (0.211) Data 0.042 (0.047) Loss 2.4855 (2.2951) Prec@1 47.656 (47.492) Prec@5 68.359 (72.845)
Epoch: [98][4040/5005] Time 0.208 (0.211) Data 0.042 (0.047) Loss 2.2417 (2.2952) Prec@1 53.125 (47.489) Prec@5 73.438 (72.843)
Epoch: [98][4050/5005] Time 0.216 (0.211) Data 0.043 (0.047) Loss 2.5465 (2.2952) Prec@1 42.188 (47.490) Prec@5 69.531 (72.846)
Epoch: [98][4060/5005] Time 0.207 (0.211) Data 0.041 (0.047) Loss 2.3234 (2.2951) Prec@1 46.094 (47.488) Prec@5 73.047 (72.847)
Epoch: [98][4070/5005] Time 0.205 (0.211) Data 0.041 (0.047) Loss 2.3990 (2.2951) Prec@1 46.094 (47.489) Prec@5 74.609 (72.849)
Epoch: [98][4080/5005] Time 0.209 (0.211) Data 0.040 (0.047) Loss 2.1787 (2.2952) Prec@1 47.656 (47.486) Prec@5 76.172 (72.848)
Epoch: [98][4090/5005] Time 0.209 (0.210) Data 0.046 (0.047) Loss 2.5051 (2.2952) Prec@1 45.312 (47.487) Prec@5 67.969 (72.847)
Epoch: [98][4100/5005] Time 0.212 (0.210) Data 0.043 (0.047) Loss 2.3270 (2.2951) Prec@1 41.797 (47.485) Prec@5 72.656 (72.848)
Epoch: [98][4110/5005] Time 0.208 (0.210) Data 0.045 (0.047) Loss 2.4256 (2.2951) Prec@1 42.578 (47.481) Prec@5 71.094 (72.848)
Epoch: [98][4120/5005] Time 0.210 (0.210) Data 0.046 (0.047) Loss 2.3808 (2.2950) Prec@1 46.875 (47.485) Prec@5 71.094 (72.848)
Epoch: [98][4130/5005] Time 0.208 (0.210) Data 0.057 (0.047) Loss 2.5118 (2.2950) Prec@1 40.625 (47.484) Prec@5 69.531 (72.849)
Epoch: [98][4140/5005] Time 0.196 (0.210) Data 0.060 (0.047) Loss 2.3072 (2.2950) Prec@1 46.875 (47.485) Prec@5 68.750 (72.845)
Epoch: [98][4150/5005] Time 0.212 (0.210) Data 0.045 (0.047) Loss 2.3146 (2.2951) Prec@1 46.094 (47.482) Prec@5 73.438 (72.844)
Epoch: [98][4160/5005] Time 0.211 (0.210) Data 0.043 (0.047) Loss 2.2186 (2.2952) Prec@1 49.219 (47.483) Prec@5 76.172 (72.843)
Epoch: [98][4170/5005] Time 0.215 (0.210) Data 0.046 (0.047) Loss 2.3544 (2.2951) Prec@1 41.016 (47.481) Prec@5 71.094 (72.846)
Epoch: [98][4180/5005] Time 0.213 (0.210) Data 0.044 (0.047) Loss 2.2071 (2.2951) Prec@1 50.391 (47.483) Prec@5 74.609 (72.846)
Epoch: [98][4190/5005] Time 0.219 (0.210) Data 0.044 (0.047) Loss 2.1375 (2.2951) Prec@1 48.047 (47.481) Prec@5 75.000 (72.846)
Epoch: [98][4200/5005] Time 0.208 (0.210) Data 0.044 (0.047) Loss 2.1717 (2.2951) Prec@1 47.266 (47.480) Prec@5 73.438 (72.846)
Epoch: [98][4210/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.1695 (2.2950) Prec@1 48.828 (47.482) Prec@5 75.391 (72.848)
Epoch: [98][4220/5005] Time 0.210 (0.210) Data 0.043 (0.047) Loss 2.3574 (2.2951) Prec@1 46.875 (47.478) Prec@5 72.266 (72.847)
Epoch: [98][4230/5005] Time 0.199 (0.210) Data 0.050 (0.047) Loss 2.4462 (2.2951) Prec@1 45.312 (47.479) Prec@5 68.359 (72.845)
Epoch: [98][4240/5005] Time 0.199 (0.210) Data 0.058 (0.047) Loss 2.2533 (2.2952) Prec@1 46.875 (47.479) Prec@5 72.266 (72.845)
Epoch: [98][4250/5005] Time 0.208 (0.210) Data 0.059 (0.047) Loss 2.2465 (2.2951) Prec@1 44.141 (47.480) Prec@5 71.875 (72.847)
Epoch: [98][4260/5005] Time 0.201 (0.210) Data 0.046 (0.047) Loss 2.2372 (2.2951) Prec@1 44.922 (47.482) Prec@5 73.828 (72.848)
Epoch: [98][4270/5005] Time 0.210 (0.210) Data 0.046 (0.047) Loss 2.4980 (2.2951) Prec@1 44.531 (47.483) Prec@5 71.094 (72.847)
Epoch: [98][4280/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.4462 (2.2951) Prec@1 45.703 (47.484) Prec@5 72.656 (72.847)
Epoch: [98][4290/5005] Time 0.205 (0.210) Data 0.043 (0.047) Loss 2.4335 (2.2950) Prec@1 44.531 (47.486) Prec@5 71.094 (72.848)
Epoch: [98][4300/5005] Time 0.201 (0.210) Data 0.044 (0.047) Loss 2.0842 (2.2947) Prec@1 50.391 (47.492) Prec@5 77.734 (72.853)
Epoch: [98][4310/5005] Time 0.207 (0.210) Data 0.052 (0.047) Loss 2.2212 (2.2948) Prec@1 48.828 (47.491) Prec@5 71.875 (72.852)
Epoch: [98][4320/5005] Time 0.207 (0.210) Data 0.060 (0.047) Loss 2.2053 (2.2948) Prec@1 50.000 (47.493) Prec@5 76.562 (72.852)
Epoch: [98][4330/5005] Time 0.205 (0.210) Data 0.045 (0.047) Loss 2.2086 (2.2948) Prec@1 48.438 (47.492) Prec@5 73.438 (72.852)
Epoch: [98][4340/5005] Time 0.207 (0.210) Data 0.046 (0.047) Loss 2.2097 (2.2948) Prec@1 48.438 (47.491) Prec@5 71.484 (72.851)
Epoch: [98][4350/5005] Time 0.201 (0.210) Data 0.053 (0.047) Loss 2.3587 (2.2947) Prec@1 46.875 (47.494) Prec@5 73.047 (72.851)
Epoch: [98][4360/5005] Time 0.194 (0.210) Data 0.042 (0.047) Loss 2.0805 (2.2946) Prec@1 49.609 (47.495) Prec@5 74.609 (72.853)
Epoch: [98][4370/5005] Time 0.213 (0.210) Data 0.045 (0.047) Loss 2.2178 (2.2947) Prec@1 47.656 (47.494) Prec@5 74.609 (72.854)
Epoch: [98][4380/5005] Time 0.219 (0.210) Data 0.046 (0.047) Loss 2.2026 (2.2946) Prec@1 47.656 (47.494) Prec@5 73.828 (72.856)
Epoch: [98][4390/5005] Time 0.209 (0.210) Data 0.046 (0.047) Loss 2.4326 (2.2944) Prec@1 44.922 (47.499) Prec@5 70.312 (72.858)
Epoch: [98][4400/5005] Time 0.212 (0.210) Data 0.040 (0.047) Loss 2.0985 (2.2943) Prec@1 50.391 (47.502) Prec@5 76.172 (72.861)
Epoch: [98][4410/5005] Time 0.204 (0.210) Data 0.060 (0.047) Loss 2.2516 (2.2943) Prec@1 47.656 (47.501) Prec@5 73.438 (72.863)
Epoch: [98][4420/5005] Time 0.203 (0.210) Data 0.042 (0.047) Loss 2.0641 (2.2943) Prec@1 52.734 (47.500) Prec@5 78.516 (72.866)
Epoch: [98][4430/5005] Time 0.210 (0.210) Data 0.042 (0.047) Loss 2.1718 (2.2940) Prec@1 48.047 (47.504) Prec@5 73.438 (72.870)
Epoch: [98][4440/5005] Time 0.208 (0.210) Data 0.044 (0.047) Loss 2.3999 (2.2939) Prec@1 50.000 (47.508) Prec@5 71.875 (72.871)
Epoch: [98][4450/5005] Time 0.215 (0.210) Data 0.042 (0.047) Loss 2.1706 (2.2939) Prec@1 47.656 (47.508) Prec@5 75.000 (72.871)
Epoch: [98][4460/5005] Time 0.208 (0.210) Data 0.061 (0.047) Loss 2.3297 (2.2938) Prec@1 47.656 (47.509) Prec@5 74.219 (72.872)
Epoch: [98][4470/5005] Time 0.204 (0.210) Data 0.049 (0.047) Loss 2.1392 (2.2938) Prec@1 48.047 (47.509) Prec@5 76.562 (72.872)
Epoch: [98][4480/5005] Time 0.211 (0.210) Data 0.046 (0.047) Loss 2.1780 (2.2940) Prec@1 49.609 (47.509) Prec@5 73.438 (72.870)
Epoch: [98][4490/5005] Time 0.196 (0.210) Data 0.052 (0.047) Loss 2.2739 (2.2940) Prec@1 48.828 (47.506) Prec@5 72.266 (72.869)
Epoch: [98][4500/5005] Time 0.207 (0.210) Data 0.050 (0.047) Loss 2.2792 (2.2941) Prec@1 44.141 (47.506) Prec@5 74.219 (72.869)
Epoch: [98][4510/5005] Time 0.208 (0.210) Data 0.045 (0.047) Loss 2.1320 (2.2942) Prec@1 49.219 (47.504) Prec@5 75.391 (72.868)
Epoch: [98][4520/5005] Time 0.198 (0.210) Data 0.060 (0.047) Loss 2.1634 (2.2941) Prec@1 51.953 (47.505) Prec@5 74.609 (72.870)
Epoch: [98][4530/5005] Time 0.196 (0.210) Data 0.054 (0.047) Loss 2.2757 (2.2941) Prec@1 49.219 (47.505) Prec@5 73.828 (72.871)
Epoch: [98][4540/5005] Time 0.198 (0.210) Data 0.045 (0.047) Loss 2.3156 (2.2942) Prec@1 48.438 (47.505) Prec@5 74.609 (72.871)
Epoch: [98][4550/5005] Time 0.208 (0.210) Data 0.047 (0.047) Loss 2.2941 (2.2942) Prec@1 48.438 (47.505) Prec@5 69.141 (72.870)
Epoch: [98][4560/5005] Time 0.209 (0.210) Data 0.050 (0.047) Loss 2.2129 (2.2942) Prec@1 50.391 (47.506) Prec@5 73.828 (72.870)
Epoch: [98][4570/5005] Time 0.203 (0.210) Data 0.042 (0.047) Loss 2.3807 (2.2941) Prec@1 48.828 (47.508) Prec@5 72.656 (72.872)
Epoch: [98][4580/5005] Time 0.212 (0.210) Data 0.041 (0.047) Loss 2.3373 (2.2941) Prec@1 44.531 (47.510) Prec@5 71.094 (72.872)
Epoch: [98][4590/5005] Time 0.206 (0.210) Data 0.059 (0.047) Loss 2.1264 (2.2941) Prec@1 51.953 (47.508) Prec@5 77.734 (72.873)
Epoch: [98][4600/5005] Time 0.196 (0.210) Data 0.044 (0.047) Loss 2.0865 (2.2941) Prec@1 52.344 (47.509) Prec@5 77.344 (72.871)
Epoch: [98][4610/5005] Time 0.215 (0.210) Data 0.046 (0.047) Loss 2.1425 (2.2941) Prec@1 46.875 (47.508) Prec@5 73.438 (72.870)
Epoch: [98][4620/5005] Time 0.199 (0.210) Data 0.050 (0.047) Loss 2.2543 (2.2941) Prec@1 49.219 (47.511) Prec@5 74.609 (72.869)
Epoch: [98][4630/5005] Time 0.206 (0.210) Data 0.051 (0.047) Loss 2.1313 (2.2939) Prec@1 49.219 (47.513) Prec@5 74.219 (72.873)
Epoch: [98][4640/5005] Time 0.212 (0.210) Data 0.043 (0.047) Loss 2.3497 (2.2938) Prec@1 49.609 (47.516) Prec@5 73.828 (72.876)
Epoch: [98][4650/5005] Time 0.212 (0.210) Data 0.046 (0.047) Loss 2.3434 (2.2938) Prec@1 46.875 (47.518) Prec@5 73.047 (72.876)
Epoch: [98][4660/5005] Time 0.209 (0.210) Data 0.050 (0.047) Loss 2.7024 (2.2939) Prec@1 41.406 (47.518) Prec@5 65.234 (72.875)
Epoch: [98][4670/5005] Time 0.207 (0.210) Data 0.047 (0.047) Loss 2.0576 (2.2937) Prec@1 54.297 (47.523) Prec@5 75.391 (72.877)
Epoch: [98][4680/5005] Time 0.201 (0.210) Data 0.041 (0.047) Loss 2.2203 (2.2937) Prec@1 47.656 (47.523) Prec@5 74.609 (72.877)
Epoch: [98][4690/5005] Time 0.213 (0.210) Data 0.042 (0.047) Loss 2.2753 (2.2937) Prec@1 51.172 (47.524) Prec@5 72.656 (72.877)
Epoch: [98][4700/5005] Time 0.211 (0.210) Data 0.052 (0.047) Loss 2.2917 (2.2937) Prec@1 46.094 (47.524) Prec@5 75.000 (72.880)
Epoch: [98][4710/5005] Time 0.201 (0.210) Data 0.052 (0.047) Loss 2.1986 (2.2935) Prec@1 53.125 (47.528) Prec@5 76.172 (72.883)
Epoch: [98][4720/5005] Time 0.212 (0.210) Data 0.044 (0.047) Loss 2.1746 (2.2935) Prec@1 53.906 (47.529) Prec@5 77.734 (72.884)
Epoch: [98][4730/5005] Time 0.208 (0.210) Data 0.052 (0.047) Loss 2.2819 (2.2936) Prec@1 44.922 (47.525) Prec@5 71.484 (72.880)
Epoch: [98][4740/5005] Time 0.211 (0.210) Data 0.047 (0.047) Loss 2.2785 (2.2936) Prec@1 45.312 (47.527) Prec@5 73.438 (72.881)
Epoch: [98][4750/5005] Time 0.203 (0.210) Data 0.046 (0.047) Loss 2.2104 (2.2935) Prec@1 48.828 (47.527) Prec@5 71.875 (72.881)
Epoch: [98][4760/5005] Time 0.205 (0.210) Data 0.049 (0.047) Loss 2.4409 (2.2933) Prec@1 44.141 (47.530) Prec@5 73.047 (72.886)
Epoch: [98][4770/5005] Time 0.199 (0.210) Data 0.058 (0.047) Loss 2.2247 (2.2933) Prec@1 49.219 (47.529) Prec@5 75.391 (72.886)
Epoch: [98][4780/5005] Time 0.203 (0.210) Data 0.053 (0.047) Loss 2.3365 (2.2933) Prec@1 46.875 (47.532) Prec@5 73.047 (72.886)
Epoch: [98][4790/5005] Time 0.209 (0.210) Data 0.044 (0.047) Loss 2.6709 (2.2934) Prec@1 41.797 (47.531) Prec@5 67.578 (72.884)
Epoch: [98][4800/5005] Time 0.207 (0.210) Data 0.042 (0.047) Loss 2.4147 (2.2934) Prec@1 44.531 (47.530) Prec@5 71.484 (72.886)
Epoch: [98][4810/5005] Time 0.198 (0.210) Data 0.061 (0.047) Loss 2.4764 (2.2934) Prec@1 45.312 (47.527) Prec@5 70.703 (72.886)
Epoch: [98][4820/5005] Time 0.212 (0.210) Data 0.046 (0.047) Loss 2.5879 (2.2934) Prec@1 41.406 (47.528) Prec@5 69.922 (72.887)
Epoch: [98][4830/5005] Time 0.206 (0.210) Data 0.045 (0.047) Loss 2.3145 (2.2933) Prec@1 43.750 (47.529) Prec@5 72.266 (72.888)
Epoch: [98][4840/5005] Time 0.211 (0.210) Data 0.046 (0.047) Loss 2.1323 (2.2933) Prec@1 51.562 (47.531) Prec@5 73.828 (72.886)
Epoch: [98][4850/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.3851 (2.2934) Prec@1 42.969 (47.529) Prec@5 70.703 (72.885)
Epoch: [98][4860/5005] Time 0.201 (0.210) Data 0.040 (0.047) Loss 2.3074 (2.2934) Prec@1 49.609 (47.530) Prec@5 74.609 (72.885)
Epoch: [98][4870/5005] Time 0.211 (0.210) Data 0.049 (0.047) Loss 2.1873 (2.2934) Prec@1 51.172 (47.529) Prec@5 74.609 (72.885)
Epoch: [98][4880/5005] Time 0.202 (0.210) Data 0.046 (0.047) Loss 2.2122 (2.2933) Prec@1 50.781 (47.532) Prec@5 71.875 (72.887)
Epoch: [98][4890/5005] Time 0.214 (0.210) Data 0.044 (0.047) Loss 2.4263 (2.2933) Prec@1 46.484 (47.531) Prec@5 69.531 (72.888)
Epoch: [98][4900/5005] Time 0.204 (0.210) Data 0.041 (0.047) Loss 2.1888 (2.2932) Prec@1 49.609 (47.532) Prec@5 74.609 (72.890)
Epoch: [98][4910/5005] Time 0.212 (0.210) Data 0.043 (0.047) Loss 2.3501 (2.2930) Prec@1 48.438 (47.536) Prec@5 74.219 (72.892)
Epoch: [98][4920/5005] Time 0.201 (0.210) Data 0.044 (0.047) Loss 2.1130 (2.2929) Prec@1 52.734 (47.539) Prec@5 74.219 (72.894)
Epoch: [98][4930/5005] Time 0.207 (0.210) Data 0.044 (0.047) Loss 2.3520 (2.2928) Prec@1 48.047 (47.540) Prec@5 71.875 (72.899)
Epoch: [98][4940/5005] Time 0.214 (0.210) Data 0.043 (0.047) Loss 2.3045 (2.2928) Prec@1 44.531 (47.539) Prec@5 72.266 (72.896)
Epoch: [98][4950/5005] Time 0.210 (0.210) Data 0.046 (0.047) Loss 2.0993 (2.2929) Prec@1 46.875 (47.536) Prec@5 73.438 (72.895)
Epoch: [98][4960/5005] Time 0.195 (0.210) Data 0.042 (0.047) Loss 2.4006 (2.2929) Prec@1 48.828 (47.537) Prec@5 71.094 (72.896)
Epoch: [98][4970/5005] Time 0.216 (0.210) Data 0.043 (0.047) Loss 2.4098 (2.2928) Prec@1 47.656 (47.539) Prec@5 70.703 (72.898)
Epoch: [98][4980/5005] Time 0.206 (0.210) Data 0.041 (0.047) Loss 2.3608 (2.2927) Prec@1 44.531 (47.540) Prec@5 72.266 (72.899)
Epoch: [98][4990/5005] Time 0.202 (0.210) Data 0.029 (0.047) Loss 2.3537 (2.2928) Prec@1 46.094 (47.539) Prec@5 70.312 (72.898)
Epoch: [98][5000/5005] Time 0.205 (0.210) Data 0.021 (0.047) Loss 2.3506 (2.2928) Prec@1 47.266 (47.537) Prec@5 72.656 (72.898)
Test: [0/196] Time 1.680 (1.680) Loss 2.4803 (2.4803) Prec@1 46.094 (46.094) Prec@5 69.141 (69.141)
Test: [10/196] Time 0.042 (0.269) Loss 2.4425 (2.5710) Prec@1 46.875 (43.999) Prec@5 72.266 (69.141)
Test: [20/196] Time 0.044 (0.224) Loss 2.4418 (2.5757) Prec@1 45.703 (43.880) Prec@5 72.656 (69.066)
Test: [30/196] Time 0.106 (0.209) Loss 2.4826 (2.5781) Prec@1 41.797 (43.397) Prec@5 70.312 (68.964)
Test: [40/196] Time 0.042 (0.204) Loss 2.3684 (2.5750) Prec@1 50.000 (43.712) Prec@5 71.094 (68.941)
Test: [50/196] Time 0.042 (0.201) Loss 2.6781 (2.5750) Prec@1 44.531 (43.742) Prec@5 69.141 (69.003)
Test: [60/196] Time 0.041 (0.194) Loss 2.4641 (2.5610) Prec@1 48.438 (44.025) Prec@5 68.750 (69.089)
Test: [70/196] Time 0.044 (0.192) Loss 2.4380 (2.5508) Prec@1 48.047 (44.157) Prec@5 69.141 (69.157)
Test: [80/196] Time 0.118 (0.190) Loss 2.4552 (2.5561) Prec@1 49.609 (44.107) Prec@5 76.172 (69.117)
Test: [90/196] Time 0.048 (0.184) Loss 2.6554 (2.5581) Prec@1 45.703 (44.201) Prec@5 67.188 (69.132)
Test: [100/196] Time 0.747 (0.189) Loss 2.5854 (2.5545) Prec@1 44.922 (44.365) Prec@5 68.359 (69.214)
Test: [110/196] Time 0.599 (0.189) Loss 2.7798 (2.5563) Prec@1 39.844 (44.394) Prec@5 64.844 (69.211)
Test: [120/196] Time 0.046 (0.184) Loss 2.4021 (2.5544) Prec@1 46.875 (44.402) Prec@5 71.875 (69.263)
Test: [130/196] Time 0.045 (0.181) Loss 2.2666 (2.5505) Prec@1 48.047 (44.504) Prec@5 75.391 (69.311)
Test: [140/196] Time 0.044 (0.180) Loss 2.3924 (2.5536) Prec@1 48.828 (44.396) Prec@5 70.312 (69.213)
Test: [150/196] Time 0.606 (0.182) Loss 2.1961 (2.5521) Prec@1 50.000 (44.417) Prec@5 77.734 (69.280)
Test: [160/196] Time 0.044 (0.185) Loss 2.4343 (2.5498) Prec@1 50.000 (44.446) Prec@5 71.484 (69.315)
Test: [170/196] Time 0.283 (0.179) Loss 2.4547 (2.5513) Prec@1 43.359 (44.410) Prec@5 73.438 (69.312)
Test: [180/196] Time 0.117 (0.179) Loss 2.7456 (2.5570) Prec@1 41.016 (44.354) Prec@5 64.844 (69.177)
Test: [190/196] Time 0.044 (0.180) Loss 2.7746 (2.5601) Prec@1 41.797 (44.298) Prec@5 66.406 (69.092)
* Prec@1 44.314 Prec@5 69.104
Learning rate: 1e-06
Epoch: [99][0/5005] Time 1.285 (1.285) Data 1.192 (1.192) Loss 2.2528 (2.2528) Prec@1 48.047 (48.047) Prec@5 75.000 (75.000)
Epoch: [99][10/5005] Time 0.198 (0.302) Data 0.058 (0.152) Loss 2.1838 (2.3043) Prec@1 50.781 (47.230) Prec@5 72.266 (73.047)
Epoch: [99][20/5005] Time 0.203 (0.255) Data 0.043 (0.102) Loss 2.4370 (2.3072) Prec@1 44.531 (46.540) Prec@5 71.094 (72.917)
Epoch: [99][30/5005] Time 0.200 (0.239) Data 0.044 (0.084) Loss 2.2085 (2.2870) Prec@1 46.484 (46.913) Prec@5 73.828 (73.110)
Epoch: [99][40/5005] Time 0.200 (0.230) Data 0.042 (0.074) Loss 2.3017 (2.3004) Prec@1 46.484 (46.751) Prec@5 71.484 (72.771)
Epoch: [99][50/5005] Time 0.212 (0.225) Data 0.043 (0.069) Loss 2.1855 (2.3020) Prec@1 48.828 (46.768) Prec@5 78.125 (72.786)
Epoch: [99][60/5005] Time 0.208 (0.222) Data 0.043 (0.065) Loss 2.1188 (2.3007) Prec@1 48.828 (46.805) Prec@5 79.297 (72.938)
Epoch: [99][70/5005] Time 0.196 (0.219) Data 0.062 (0.063) Loss 2.2370 (2.3090) Prec@1 48.047 (46.875) Prec@5 73.438 (72.871)
Epoch: [99][80/5005] Time 0.192 (0.217) Data 0.050 (0.061) Loss 2.1243 (2.3015) Prec@1 52.344 (47.053) Prec@5 79.688 (73.153)
Epoch: [99][90/5005] Time 0.191 (0.215) Data 0.047 (0.059) Loss 2.3633 (2.2983) Prec@1 48.438 (47.180) Prec@5 71.094 (73.090)
Epoch: [99][100/5005] Time 0.202 (0.213) Data 0.045 (0.057) Loss 2.1452 (2.3004) Prec@1 47.656 (47.088) Prec@5 76.172 (72.985)
Epoch: [99][110/5005] Time 0.192 (0.212) Data 0.046 (0.057) Loss 2.2714 (2.3014) Prec@1 49.219 (47.171) Prec@5 73.828 (72.998)
Epoch: [99][120/5005] Time 0.202 (0.211) Data 0.049 (0.056) Loss 2.4619 (2.3072) Prec@1 41.406 (47.178) Prec@5 71.484 (72.863)
Epoch: [99][130/5005] Time 0.194 (0.210) Data 0.052 (0.055) Loss 2.5259 (2.3070) Prec@1 43.750 (47.185) Prec@5 68.359 (72.883)
Epoch: [99][140/5005] Time 0.215 (0.210) Data 0.045 (0.055) Loss 2.3903 (2.3068) Prec@1 44.531 (47.099) Prec@5 71.875 (72.850)
Epoch: [99][150/5005] Time 0.195 (0.209) Data 0.047 (0.054) Loss 2.3849 (2.3058) Prec@1 49.219 (47.144) Prec@5 70.703 (72.866)
Epoch: [99][160/5005] Time 0.207 (0.209) Data 0.045 (0.054) Loss 2.1849 (2.3086) Prec@1 49.609 (47.125) Prec@5 74.609 (72.799)
Epoch: [99][170/5005] Time 0.214 (0.209) Data 0.048 (0.054) Loss 2.3888 (2.3073) Prec@1 47.656 (47.165) Prec@5 72.656 (72.802)
Epoch: [99][180/5005] Time 0.215 (0.209) Data 0.048 (0.054) Loss 2.4206 (2.3087) Prec@1 45.703 (47.177) Prec@5 71.484 (72.803)
Epoch: [99][190/5005] Time 0.223 (0.210) Data 0.044 (0.053) Loss 2.4343 (2.3135) Prec@1 42.188 (47.080) Prec@5 72.266 (72.748)
Epoch: [99][200/5005] Time 0.222 (0.211) Data 0.043 (0.053) Loss 2.5616 (2.3154) Prec@1 41.797 (47.077) Prec@5 69.531 (72.711)
Epoch: [99][210/5005] Time 0.217 (0.211) Data 0.048 (0.053) Loss 2.0661 (2.3139) Prec@1 52.734 (47.110) Prec@5 77.734 (72.762)
Epoch: [99][220/5005] Time 0.215 (0.211) Data 0.043 (0.052) Loss 2.3573 (2.3129) Prec@1 50.000 (47.128) Prec@5 71.484 (72.773)
Epoch: [99][230/5005] Time 0.215 (0.212) Data 0.044 (0.052) Loss 2.2727 (2.3139) Prec@1 47.656 (47.142) Prec@5 71.484 (72.739)
Epoch: [99][240/5005] Time 0.210 (0.212) Data 0.041 (0.052) Loss 2.2755 (2.3134) Prec@1 49.609 (47.146) Prec@5 73.828 (72.731)
Epoch: [99][250/5005] Time 0.217 (0.212) Data 0.048 (0.051) Loss 2.3810 (2.3120) Prec@1 49.219 (47.169) Prec@5 73.047 (72.764)
Epoch: [99][260/5005] Time 0.220 (0.212) Data 0.063 (0.051) Loss 2.0294 (2.3106) Prec@1 50.000 (47.167) Prec@5 76.953 (72.780)
Epoch: [99][270/5005] Time 0.212 (0.212) Data 0.046 (0.051) Loss 2.3285 (2.3097) Prec@1 47.656 (47.162) Prec@5 70.312 (72.793)
Epoch: [99][280/5005] Time 0.218 (0.212) Data 0.046 (0.051) Loss 2.7643 (2.3117) Prec@1 44.141 (47.150) Prec@5 64.844 (72.748)
Epoch: [99][290/5005] Time 0.206 (0.213) Data 0.043 (0.052) Loss 2.2403 (2.3151) Prec@1 47.266 (47.060) Prec@5 73.047 (72.695)
Epoch: [99][300/5005] Time 0.217 (0.213) Data 0.045 (0.051) Loss 2.0598 (2.3139) Prec@1 51.953 (47.107) Prec@5 75.391 (72.712)
Epoch: [99][310/5005] Time 0.218 (0.213) Data 0.050 (0.051) Loss 2.1713 (2.3106) Prec@1 48.828 (47.198) Prec@5 78.516 (72.772)
Epoch: [99][320/5005] Time 0.222 (0.213) Data 0.043 (0.051) Loss 2.5001 (2.3117) Prec@1 40.234 (47.195) Prec@5 67.969 (72.761)
Epoch: [99][330/5005] Time 0.214 (0.213) Data 0.051 (0.051) Loss 2.1122 (2.3103) Prec@1 48.438 (47.213) Prec@5 71.484 (72.774)
Epoch: [99][340/5005] Time 0.220 (0.213) Data 0.042 (0.051) Loss 2.4252 (2.3150) Prec@1 47.656 (47.134) Prec@5 71.875 (72.679)
Epoch: [99][350/5005] Time 0.217 (0.213) Data 0.045 (0.051) Loss 2.5053 (2.3151) Prec@1 45.312 (47.132) Prec@5 69.922 (72.654)
Epoch: [99][360/5005] Time 0.219 (0.213) Data 0.057 (0.051) Loss 2.3187 (2.3153) Prec@1 47.266 (47.104) Prec@5 72.266 (72.627)
Epoch: [99][370/5005] Time 0.213 (0.213) Data 0.050 (0.051) Loss 2.3139 (2.3144) Prec@1 46.875 (47.120) Prec@5 71.875 (72.620)
Epoch: [99][380/5005] Time 0.218 (0.213) Data 0.043 (0.051) Loss 2.4927 (2.3161) Prec@1 43.750 (47.060) Prec@5 69.531 (72.590)
Epoch: [99][390/5005] Time 0.216 (0.213) Data 0.043 (0.050) Loss 2.3248 (2.3164) Prec@1 46.875 (47.049) Prec@5 72.266 (72.566)
Epoch: [99][400/5005] Time 0.217 (0.213) Data 0.043 (0.050) Loss 2.1714 (2.3151) Prec@1 49.219 (47.066) Prec@5 76.172 (72.601)
Epoch: [99][410/5005] Time 0.219 (0.213) Data 0.041 (0.050) Loss 2.1700 (2.3155) Prec@1 44.141 (47.041) Prec@5 77.344 (72.611)
Epoch: [99][420/5005] Time 0.216 (0.214) Data 0.041 (0.050) Loss 2.3524 (2.3147) Prec@1 45.703 (47.062) Prec@5 73.047 (72.642)
Epoch: [99][430/5005] Time 0.224 (0.214) Data 0.042 (0.050) Loss 2.1728 (2.3153) Prec@1 51.562 (47.075) Prec@5 76.172 (72.620)
Epoch: [99][440/5005] Time 0.217 (0.214) Data 0.049 (0.050) Loss 2.1673 (2.3146) Prec@1 50.000 (47.059) Prec@5 73.828 (72.639)
Epoch: [99][450/5005] Time 0.215 (0.214) Data 0.045 (0.050) Loss 2.1522 (2.3152) Prec@1 44.141 (47.049) Prec@5 73.438 (72.614)
Epoch: [99][460/5005] Time 0.213 (0.214) Data 0.046 (0.050) Loss 2.3063 (2.3152) Prec@1 47.656 (47.038) Prec@5 73.828 (72.623)
Epoch: [99][470/5005] Time 0.218 (0.214) Data 0.047 (0.050) Loss 2.2235 (2.3164) Prec@1 47.656 (47.009) Prec@5 76.172 (72.598)
Epoch: [99][480/5005] Time 0.205 (0.214) Data 0.045 (0.050) Loss 2.2756 (2.3166) Prec@1 43.750 (46.999) Prec@5 74.219 (72.575)
Epoch: [99][490/5005] Time 0.223 (0.214) Data 0.045 (0.050) Loss 2.2611 (2.3168) Prec@1 48.047 (47.006) Prec@5 74.219 (72.572)
Epoch: [99][500/5005] Time 0.210 (0.214) Data 0.052 (0.050) Loss 2.4773 (2.3180) Prec@1 43.750 (47.001) Prec@5 69.531 (72.546)
Epoch: [99][510/5005] Time 0.219 (0.214) Data 0.043 (0.050) Loss 2.6214 (2.3184) Prec@1 42.188 (47.000) Prec@5 64.453 (72.526)
Epoch: [99][520/5005] Time 0.216 (0.214) Data 0.043 (0.050) Loss 2.2377 (2.3180) Prec@1 44.141 (47.010) Prec@5 73.047 (72.525)
Epoch: [99][530/5005] Time 0.210 (0.214) Data 0.045 (0.050) Loss 2.1823 (2.3178) Prec@1 52.344 (47.011) Prec@5 71.094 (72.517)
Epoch: [99][540/5005] Time 0.213 (0.214) Data 0.058 (0.049) Loss 2.4926 (2.3186) Prec@1 42.969 (47.002) Prec@5 67.578 (72.505)
Epoch: [99][550/5005] Time 0.215 (0.214) Data 0.044 (0.049) Loss 2.3584 (2.3186) Prec@1 44.531 (46.989) Prec@5 72.266 (72.504)
Epoch: [99][560/5005] Time 0.212 (0.214) Data 0.047 (0.049) Loss 2.5219 (2.3184) Prec@1 43.359 (47.009) Prec@5 68.750 (72.512)
Epoch: [99][570/5005] Time 0.218 (0.214) Data 0.040 (0.049) Loss 2.4712 (2.3197) Prec@1 47.266 (46.986) Prec@5 69.531 (72.478)
Epoch: [99][580/5005] Time 0.208 (0.214) Data 0.047 (0.049) Loss 2.2631 (2.3190) Prec@1 48.438 (47.000) Prec@5 70.312 (72.495)
Epoch: [99][590/5005] Time 0.203 (0.214) Data 0.045 (0.049) Loss 2.4239 (2.3192) Prec@1 45.312 (47.008) Prec@5 69.531 (72.469)
Epoch: [99][600/5005] Time 0.216 (0.214) Data 0.044 (0.049) Loss 2.2379 (2.3203) Prec@1 47.266 (46.994) Prec@5 74.609 (72.468)
Epoch: [99][610/5005] Time 0.213 (0.214) Data 0.043 (0.049) Loss 2.1504 (2.3200) Prec@1 50.781 (47.003) Prec@5 74.609 (72.479)
Epoch: [99][620/5005] Time 0.216 (0.214) Data 0.046 (0.049) Loss 2.2596 (2.3198) Prec@1 52.344 (47.035) Prec@5 73.438 (72.480)
Epoch: [99][630/5005] Time 0.211 (0.214) Data 0.043 (0.049) Loss 2.5996 (2.3200) Prec@1 40.625 (47.029) Prec@5 69.531 (72.478)
Epoch: [99][640/5005] Time 0.210 (0.214) Data 0.048 (0.049) Loss 2.1689 (2.3199) Prec@1 46.875 (47.035) Prec@5 74.609 (72.483)
Epoch: [99][650/5005] Time 0.217 (0.214) Data 0.043 (0.049) Loss 2.2735 (2.3208) Prec@1 47.656 (47.028) Prec@5 73.438 (72.463)
Epoch: [99][660/5005] Time 0.208 (0.214) Data 0.048 (0.049) Loss 2.6223 (2.3206) Prec@1 42.188 (47.032) Prec@5 70.703 (72.472)
Epoch: [99][670/5005] Time 0.200 (0.214) Data 0.045 (0.049) Loss 2.5279 (2.3203) Prec@1 44.922 (47.044) Prec@5 71.094 (72.485)
Epoch: [99][680/5005] Time 0.221 (0.214) Data 0.044 (0.049) Loss 2.2781 (2.3202) Prec@1 48.438 (47.058) Prec@5 74.219 (72.481)
Epoch: [99][690/5005] Time 0.220 (0.214) Data 0.043 (0.049) Loss 2.2498 (2.3194) Prec@1 48.047 (47.081) Prec@5 74.609 (72.488)
Epoch: [99][700/5005] Time 0.212 (0.214) Data 0.046 (0.049) Loss 2.2809 (2.3194) Prec@1 48.828 (47.081) Prec@5 73.438 (72.487)
Epoch: [99][710/5005] Time 0.208 (0.214) Data 0.052 (0.049) Loss 2.1731 (2.3187) Prec@1 45.312 (47.081) Prec@5 71.875 (72.490)
Epoch: [99][720/5005] Time 0.217 (0.214) Data 0.043 (0.049) Loss 2.3176 (2.3179) Prec@1 44.922 (47.088) Prec@5 74.609 (72.512)
Epoch: [99][730/5005] Time 0.214 (0.214) Data 0.047 (0.049) Loss 2.4609 (2.3177) Prec@1 42.578 (47.108) Prec@5 72.656 (72.518)
Epoch: [99][740/5005] Time 0.206 (0.214) Data 0.044 (0.048) Loss 2.4890 (2.3178) Prec@1 48.047 (47.114) Prec@5 68.750 (72.508)
Epoch: [99][750/5005] Time 0.213 (0.214) Data 0.048 (0.048) Loss 2.1069 (2.3173) Prec@1 50.000 (47.121) Prec@5 75.391 (72.516)
Epoch: [99][760/5005] Time 0.209 (0.214) Data 0.043 (0.048) Loss 2.4934 (2.3172) Prec@1 44.531 (47.124) Prec@5 70.703 (72.536)
Epoch: [99][770/5005] Time 0.216 (0.214) Data 0.045 (0.048) Loss 2.3173 (2.3162) Prec@1 46.094 (47.139) Prec@5 68.750 (72.548)
Epoch: [99][780/5005] Time 0.204 (0.214) Data 0.049 (0.048) Loss 2.2656 (2.3158) Prec@1 48.438 (47.135) Prec@5 70.703 (72.547)
Epoch: [99][790/5005] Time 0.216 (0.214) Data 0.044 (0.048) Loss 2.2381 (2.3158) Prec@1 50.000 (47.130) Prec@5 73.047 (72.546)
Epoch: [99][800/5005] Time 0.212 (0.214) Data 0.045 (0.048) Loss 2.1826 (2.3151) Prec@1 51.172 (47.152) Prec@5 71.484 (72.544)
Epoch: [99][810/5005] Time 0.218 (0.214) Data 0.040 (0.048) Loss 2.2246 (2.3148) Prec@1 51.562 (47.154) Prec@5 73.438 (72.558)
Epoch: [99][820/5005] Time 0.212 (0.214) Data 0.046 (0.048) Loss 2.4715 (2.3153) Prec@1 43.359 (47.140) Prec@5 67.188 (72.554)
Epoch: [99][830/5005] Time 0.206 (0.214) Data 0.043 (0.048) Loss 2.2741 (2.3156) Prec@1 47.656 (47.139) Prec@5 73.828 (72.550)
Epoch: [99][840/5005] Time 0.207 (0.213) Data 0.046 (0.048) Loss 2.2541 (2.3155) Prec@1 49.219 (47.141) Prec@5 73.438 (72.547)
Epoch: [99][850/5005] Time 0.207 (0.213) Data 0.048 (0.048) Loss 2.4324 (2.3149) Prec@1 42.969 (47.150) Prec@5 73.828 (72.561)
Epoch: [99][860/5005] Time 0.200 (0.213) Data 0.047 (0.048) Loss 2.3617 (2.3149) Prec@1 47.656 (47.149) Prec@5 71.094 (72.550)
Epoch: [99][870/5005] Time 0.212 (0.213) Data 0.042 (0.048) Loss 2.1945 (2.3143) Prec@1 48.047 (47.170) Prec@5 73.828 (72.563)
Epoch: [99][880/5005] Time 0.206 (0.213) Data 0.057 (0.048) Loss 2.1024 (2.3143) Prec@1 53.906 (47.177) Prec@5 76.562 (72.565)
Epoch: [99][890/5005] Time 0.208 (0.213) Data 0.045 (0.048) Loss 2.6658 (2.3143) Prec@1 39.453 (47.161) Prec@5 66.016 (72.562)
Epoch: [99][900/5005] Time 0.211 (0.213) Data 0.047 (0.048) Loss 2.3555 (2.3140) Prec@1 47.266 (47.162) Prec@5 71.875 (72.570)
Epoch: [99][910/5005] Time 0.216 (0.213) Data 0.046 (0.048) Loss 2.2466 (2.3134) Prec@1 46.875 (47.167) Prec@5 76.953 (72.591)
Epoch: [99][920/5005] Time 0.200 (0.213) Data 0.045 (0.048) Loss 2.2713 (2.3127) Prec@1 44.922 (47.183) Prec@5 75.391 (72.617)
Epoch: [99][930/5005] Time 0.215 (0.213) Data 0.043 (0.048) Loss 2.2037 (2.3125) Prec@1 50.781 (47.193) Prec@5 73.438 (72.616)
Epoch: [99][940/5005] Time 0.218 (0.213) Data 0.053 (0.048) Loss 2.1031 (2.3129) Prec@1 49.609 (47.190) Prec@5 78.516 (72.618)
Epoch: [99][950/5005] Time 0.214 (0.213) Data 0.042 (0.048) Loss 2.4741 (2.3134) Prec@1 46.875 (47.193) Prec@5 69.922 (72.610)
Epoch: [99][960/5005] Time 0.200 (0.213) Data 0.053 (0.048) Loss 2.5420 (2.3134) Prec@1 46.875 (47.197) Prec@5 69.531 (72.610)
Epoch: [99][970/5005] Time 0.208 (0.213) Data 0.049 (0.048) Loss 2.0833 (2.3133) Prec@1 52.344 (47.191) Prec@5 75.781 (72.622)
Epoch: [99][980/5005] Time 0.209 (0.213) Data 0.044 (0.048) Loss 2.1682 (2.3129) Prec@1 53.125 (47.196) Prec@5 72.656 (72.629)
Epoch: [99][990/5005] Time 0.211 (0.213) Data 0.048 (0.048) Loss 2.6011 (2.3135) Prec@1 42.578 (47.177) Prec@5 67.578 (72.620)
Epoch: [99][1000/5005] Time 0.209 (0.213) Data 0.046 (0.048) Loss 2.3571 (2.3136) Prec@1 46.094 (47.187) Prec@5 72.656 (72.614)
Epoch: [99][1010/5005] Time 0.198 (0.213) Data 0.043 (0.048) Loss 2.2444 (2.3134) Prec@1 50.000 (47.189) Prec@5 72.656 (72.616)
Epoch: [99][1020/5005] Time 0.202 (0.213) Data 0.044 (0.048) Loss 2.2406 (2.3141) Prec@1 47.656 (47.176) Prec@5 76.562 (72.611)
Epoch: [99][1030/5005] Time 0.213 (0.213) Data 0.044 (0.048) Loss 2.1635 (2.3138) Prec@1 48.828 (47.174) Prec@5 75.391 (72.615)
Epoch: [99][1040/5005] Time 0.204 (0.214) Data 0.045 (0.048) Loss 2.3400 (2.3139) Prec@1 43.359 (47.168) Prec@5 72.656 (72.612)
Epoch: [99][1050/5005] Time 0.203 (0.214) Data 0.046 (0.048) Loss 2.5212 (2.3144) Prec@1 42.969 (47.146) Prec@5 70.312 (72.608)
Epoch: [99][1060/5005] Time 0.206 (0.214) Data 0.043 (0.048) Loss 2.4506 (2.3147) Prec@1 46.875 (47.138) Prec@5 69.141 (72.597)
Epoch: [99][1070/5005] Time 0.209 (0.214) Data 0.045 (0.048) Loss 2.2761 (2.3147) Prec@1 48.438 (47.136) Prec@5 72.656 (72.590)
Epoch: [99][1080/5005] Time 0.213 (0.214) Data 0.045 (0.048) Loss 2.3997 (2.3147) Prec@1 46.484 (47.135) Prec@5 73.828 (72.588)
Epoch: [99][1090/5005] Time 0.211 (0.214) Data 0.047 (0.048) Loss 2.1009 (2.3142) Prec@1 48.438 (47.148) Prec@5 75.781 (72.590)
Epoch: [99][1100/5005] Time 0.206 (0.214) Data 0.044 (0.048) Loss 2.2515 (2.3138) Prec@1 50.391 (47.157) Prec@5 74.219 (72.598)
Epoch: [99][1110/5005] Time 0.213 (0.214) Data 0.044 (0.048) Loss 2.2335 (2.3138) Prec@1 46.875 (47.162) Prec@5 75.391 (72.604)
Epoch: [99][1120/5005] Time 0.208 (0.214) Data 0.058 (0.048) Loss 2.3124 (2.3130) Prec@1 50.781 (47.175) Prec@5 69.531 (72.609)
Epoch: [99][1130/5005] Time 0.210 (0.214) Data 0.039 (0.048) Loss 2.3502 (2.3133) Prec@1 44.531 (47.161) Prec@5 73.828 (72.608)
Epoch: [99][1140/5005] Time 0.212 (0.214) Data 0.048 (0.048) Loss 2.2468 (2.3130) Prec@1 48.828 (47.166) Prec@5 75.000 (72.610)
Epoch: [99][1150/5005] Time 0.205 (0.214) Data 0.048 (0.048) Loss 2.2611 (2.3127) Prec@1 44.141 (47.176) Prec@5 74.219 (72.613)
Epoch: [99][1160/5005] Time 0.218 (0.214) Data 0.051 (0.048) Loss 2.3695 (2.3128) Prec@1 46.875 (47.180) Prec@5 69.141 (72.603)
Epoch: [99][1170/5005] Time 0.213 (0.214) Data 0.048 (0.048) Loss 2.1695 (2.3125) Prec@1 50.000 (47.176) Prec@5 76.172 (72.610)
Epoch: [99][1180/5005] Time 0.208 (0.213) Data 0.049 (0.048) Loss 2.5384 (2.3128) Prec@1 44.531 (47.169) Prec@5 67.578 (72.599)
Epoch: [99][1190/5005] Time 0.212 (0.213) Data 0.044 (0.048) Loss 2.2338 (2.3123) Prec@1 46.875 (47.179) Prec@5 74.609 (72.614)
Epoch: [99][1200/5005] Time 0.211 (0.213) Data 0.037 (0.048) Loss 2.3300 (2.3123) Prec@1 45.703 (47.181) Prec@5 75.391 (72.609)
Epoch: [99][1210/5005] Time 0.210 (0.213) Data 0.044 (0.048) Loss 2.1728 (2.3128) Prec@1 47.656 (47.174) Prec@5 73.828 (72.606)
Epoch: [99][1220/5005] Time 0.202 (0.213) Data 0.048 (0.048) Loss 2.1720 (2.3129) Prec@1 47.656 (47.165) Prec@5 75.000 (72.609)
Epoch: [99][1230/5005] Time 0.221 (0.213) Data 0.047 (0.048) Loss 2.3986 (2.3131) Prec@1 47.266 (47.147) Prec@5 69.531 (72.602)
Epoch: [99][1240/5005] Time 0.213 (0.213) Data 0.046 (0.048) Loss 2.3966 (2.3131) Prec@1 48.438 (47.152) Prec@5 71.484 (72.598)
Epoch: [99][1250/5005] Time 0.207 (0.213) Data 0.041 (0.048) Loss 2.5106 (2.3135) Prec@1 44.531 (47.138) Prec@5 65.625 (72.583)
Epoch: [99][1260/5005] Time 0.206 (0.213) Data 0.051 (0.048) Loss 2.0501 (2.3130) Prec@1 50.000 (47.148) Prec@5 75.391 (72.592)
Epoch: [99][1270/5005] Time 0.212 (0.213) Data 0.051 (0.048) Loss 2.2986 (2.3133) Prec@1 49.219 (47.157) Prec@5 69.922 (72.583)
Epoch: [99][1280/5005] Time 0.207 (0.213) Data 0.050 (0.048) Loss 2.2424 (2.3134) Prec@1 49.219 (47.157) Prec@5 71.484 (72.581)
Epoch: [99][1290/5005] Time 0.210 (0.213) Data 0.045 (0.048) Loss 2.1135 (2.3132) Prec@1 52.734 (47.168) Prec@5 71.875 (72.582)
Epoch: [99][1300/5005] Time 0.206 (0.213) Data 0.047 (0.048) Loss 2.1913 (2.3131) Prec@1 50.781 (47.168) Prec@5 72.656 (72.583)
Epoch: [99][1310/5005] Time 0.206 (0.213) Data 0.040 (0.048) Loss 2.1824 (2.3128) Prec@1 50.391 (47.171) Prec@5 75.391 (72.591)
Epoch: [99][1320/5005] Time 0.207 (0.213) Data 0.058 (0.048) Loss 2.4427 (2.3124) Prec@1 46.875 (47.180) Prec@5 69.141 (72.597)
Epoch: [99][1330/5005] Time 0.205 (0.213) Data 0.063 (0.048) Loss 2.4320 (2.3125) Prec@1 41.016 (47.179) Prec@5 71.484 (72.591)
Epoch: [99][1340/5005] Time 0.213 (0.213) Data 0.041 (0.048) Loss 2.2652 (2.3122) Prec@1 46.875 (47.186) Prec@5 74.219 (72.599)
Epoch: [99][1350/5005] Time 0.209 (0.213) Data 0.041 (0.048) Loss 2.6025 (2.3125) Prec@1 42.578 (47.164) Prec@5 69.922 (72.598)
Epoch: [99][1360/5005] Time 0.215 (0.213) Data 0.043 (0.048) Loss 2.1944 (2.3121) Prec@1 49.219 (47.167) Prec@5 74.219 (72.603)
Epoch: [99][1370/5005] Time 0.214 (0.213) Data 0.043 (0.048) Loss 2.4291 (2.3117) Prec@1 45.312 (47.172) Prec@5 71.094 (72.609)
Epoch: [99][1380/5005] Time 0.214 (0.213) Data 0.045 (0.048) Loss 2.2802 (2.3116) Prec@1 49.609 (47.178) Prec@5 72.656 (72.612)
Epoch: [99][1390/5005] Time 0.213 (0.213) Data 0.045 (0.048) Loss 2.2427 (2.3112) Prec@1 47.266 (47.184) Prec@5 73.438 (72.621)
Epoch: [99][1400/5005] Time 0.205 (0.213) Data 0.044 (0.048) Loss 2.3025 (2.3105) Prec@1 50.391 (47.193) Prec@5 73.828 (72.637)
Epoch: [99][1410/5005] Time 0.211 (0.213) Data 0.050 (0.047) Loss 2.3233 (2.3102) Prec@1 49.609 (47.199) Prec@5 72.656 (72.642)
Epoch: [99][1420/5005] Time 0.215 (0.213) Data 0.046 (0.048) Loss 2.5321 (2.3104) Prec@1 46.484 (47.200) Prec@5 71.875 (72.638)
Epoch: [99][1430/5005] Time 0.208 (0.213) Data 0.039 (0.048) Loss 2.0909 (2.3100) Prec@1 51.953 (47.209) Prec@5 77.734 (72.649)
Epoch: [99][1440/5005] Time 0.210 (0.213) Data 0.048 (0.048) Loss 2.0430 (2.3098) Prec@1 52.734 (47.209) Prec@5 78.516 (72.648)
Epoch: [99][1450/5005] Time 0.212 (0.213) Data 0.053 (0.048) Loss 2.2692 (2.3096) Prec@1 46.484 (47.210) Prec@5 73.438 (72.648)
Epoch: [99][1460/5005] Time 0.198 (0.213) Data 0.054 (0.048) Loss 2.4093 (2.3095) Prec@1 41.016 (47.205) Prec@5 69.531 (72.650)
Epoch: [99][1470/5005] Time 0.204 (0.213) Data 0.048 (0.048) Loss 2.4032 (2.3097) Prec@1 48.828 (47.204) Prec@5 71.094 (72.647)
Epoch: [99][1480/5005] Time 0.210 (0.213) Data 0.047 (0.048) Loss 2.1643 (2.3096) Prec@1 51.953 (47.210) Prec@5 77.734 (72.650)
Epoch: [99][1490/5005] Time 0.215 (0.213) Data 0.044 (0.048) Loss 2.5702 (2.3094) Prec@1 43.359 (47.216) Prec@5 67.578 (72.654)
Epoch: [99][1500/5005] Time 0.213 (0.213) Data 0.047 (0.048) Loss 2.1868 (2.3091) Prec@1 51.172 (47.229) Prec@5 73.828 (72.661)
Epoch: [99][1510/5005] Time 0.206 (0.213) Data 0.057 (0.048) Loss 2.2193 (2.3088) Prec@1 50.781 (47.236) Prec@5 71.875 (72.666)
Epoch: [99][1520/5005] Time 0.204 (0.213) Data 0.041 (0.048) Loss 2.3901 (2.3086) Prec@1 44.922 (47.235) Prec@5 71.094 (72.675)
Epoch: [99][1530/5005] Time 0.202 (0.213) Data 0.039 (0.048) Loss 2.4426 (2.3088) Prec@1 43.750 (47.231) Prec@5 71.484 (72.669)
Epoch: [99][1540/5005] Time 0.200 (0.213) Data 0.052 (0.048) Loss 2.5006 (2.3091) Prec@1 42.578 (47.220) Prec@5 68.359 (72.660)
Epoch: [99][1550/5005] Time 0.214 (0.213) Data 0.042 (0.048) Loss 2.2732 (2.3089) Prec@1 44.531 (47.217) Prec@5 75.000 (72.670)
Epoch: [99][1560/5005] Time 0.210 (0.213) Data 0.046 (0.048) Loss 2.1525 (2.3092) Prec@1 50.391 (47.211) Prec@5 75.000 (72.666)
Epoch: [99][1570/5005] Time 0.209 (0.213) Data 0.051 (0.048) Loss 2.0901 (2.3087) Prec@1 53.125 (47.221) Prec@5 76.953 (72.671)
Epoch: [99][1580/5005] Time 0.202 (0.213) Data 0.063 (0.048) Loss 2.0582 (2.3087) Prec@1 51.172 (47.217) Prec@5 78.906 (72.673)
Epoch: [99][1590/5005] Time 0.204 (0.212) Data 0.047 (0.048) Loss 2.2312 (2.3086) Prec@1 50.000 (47.221) Prec@5 73.438 (72.672)
Epoch: [99][1600/5005] Time 0.207 (0.212) Data 0.050 (0.048) Loss 2.4033 (2.3087) Prec@1 48.438 (47.220) Prec@5 72.656 (72.666)
Epoch: [99][1610/5005] Time 0.202 (0.212) Data 0.046 (0.048) Loss 2.4295 (2.3088) Prec@1 44.922 (47.217) Prec@5 71.875 (72.666)
Epoch: [99][1620/5005] Time 0.213 (0.212) Data 0.043 (0.048) Loss 2.5463 (2.3087) Prec@1 45.703 (47.215) Prec@5 70.312 (72.665)
Epoch: [99][1630/5005] Time 0.222 (0.212) Data 0.044 (0.048) Loss 2.3344 (2.3088) Prec@1 46.875 (47.219) Prec@5 71.875 (72.661)
Epoch: [99][1640/5005] Time 0.205 (0.212) Data 0.044 (0.048) Loss 2.4124 (2.3091) Prec@1 45.703 (47.209) Prec@5 67.188 (72.647)
Epoch: [99][1650/5005] Time 0.203 (0.212) Data 0.044 (0.048) Loss 2.4425 (2.3091) Prec@1 44.141 (47.204) Prec@5 73.047 (72.647)
Epoch: [99][1660/5005] Time 0.217 (0.212) Data 0.043 (0.048) Loss 2.2880 (2.3085) Prec@1 50.781 (47.216) Prec@5 70.703 (72.654)
Epoch: [99][1670/5005] Time 0.203 (0.212) Data 0.045 (0.048) Loss 2.1228 (2.3085) Prec@1 51.953 (47.220) Prec@5 76.562 (72.659)
Epoch: [99][1680/5005] Time 0.206 (0.212) Data 0.044 (0.048) Loss 2.5052 (2.3090) Prec@1 45.312 (47.213) Prec@5 68.750 (72.647)
Epoch: [99][1690/5005] Time 0.208 (0.212) Data 0.049 (0.047) Loss 2.1838 (2.3087) Prec@1 48.438 (47.211) Prec@5 74.219 (72.652)
Epoch: [99][1700/5005] Time 0.213 (0.212) Data 0.046 (0.047) Loss 2.2425 (2.3084) Prec@1 47.656 (47.216) Prec@5 73.828 (72.662)
Epoch: [99][1710/5005] Time 0.210 (0.212) Data 0.057 (0.047) Loss 2.1843 (2.3080) Prec@1 49.609 (47.222) Prec@5 75.000 (72.667)
Epoch: [99][1720/5005] Time 0.207 (0.212) Data 0.046 (0.048) Loss 2.4558 (2.3079) Prec@1 42.578 (47.225) Prec@5 69.922 (72.667)
Epoch: [99][1730/5005] Time 0.199 (0.212) Data 0.053 (0.048) Loss 2.2315 (2.3076) Prec@1 48.047 (47.229) Prec@5 73.047 (72.675)
Epoch: [99][1740/5005] Time 0.208 (0.212) Data 0.050 (0.048) Loss 2.3862 (2.3073) Prec@1 48.047 (47.235) Prec@5 72.656 (72.684)
Epoch: [99][1750/5005] Time 0.202 (0.212) Data 0.044 (0.048) Loss 2.2484 (2.3069) Prec@1 45.312 (47.242) Prec@5 72.656 (72.689)
Epoch: [99][1760/5005] Time 0.215 (0.212) Data 0.045 (0.048) Loss 2.0317 (2.3068) Prec@1 53.125 (47.246) Prec@5 77.734 (72.689)
Epoch: [99][1770/5005] Time 0.209 (0.212) Data 0.048 (0.048) Loss 2.4411 (2.3068) Prec@1 46.094 (47.248) Prec@5 73.438 (72.695)
Epoch: [99][1780/5005] Time 0.199 (0.212) Data 0.049 (0.048) Loss 2.2270 (2.3067) Prec@1 49.219 (47.247) Prec@5 75.000 (72.697)
Epoch: [99][1790/5005] Time 0.206 (0.212) Data 0.060 (0.048) Loss 2.2187 (2.3064) Prec@1 51.172 (47.248) Prec@5 75.391 (72.702)
Epoch: [99][1800/5005] Time 0.200 (0.212) Data 0.048 (0.048) Loss 2.2836 (2.3062) Prec@1 48.438 (47.255) Prec@5 71.484 (72.708)
Epoch: [99][1810/5005] Time 0.206 (0.212) Data 0.040 (0.048) Loss 2.1155 (2.3060) Prec@1 53.516 (47.257) Prec@5 73.828 (72.709)
Epoch: [99][1820/5005] Time 0.200 (0.212) Data 0.049 (0.048) Loss 2.3733 (2.3060) Prec@1 42.969 (47.254) Prec@5 73.438 (72.712)
Epoch: [99][1830/5005] Time 0.208 (0.212) Data 0.065 (0.048) Loss 2.0730 (2.3057) Prec@1 52.344 (47.256) Prec@5 76.562 (72.716)
Epoch: [99][1840/5005] Time 0.222 (0.212) Data 0.046 (0.048) Loss 2.3917 (2.3057) Prec@1 43.359 (47.257) Prec@5 73.047 (72.716)
Epoch: [99][1850/5005] Time 0.209 (0.212) Data 0.046 (0.048) Loss 2.2676 (2.3056) Prec@1 51.172 (47.265) Prec@5 72.656 (72.715)
Epoch: [99][1860/5005] Time 0.205 (0.212) Data 0.058 (0.048) Loss 2.1966 (2.3057) Prec@1 49.609 (47.264) Prec@5 74.609 (72.716)
Epoch: [99][1870/5005] Time 0.214 (0.212) Data 0.042 (0.048) Loss 2.5055 (2.3059) Prec@1 41.797 (47.259) Prec@5 69.922 (72.708)
Epoch: [99][1880/5005] Time 0.201 (0.212) Data 0.049 (0.048) Loss 2.2908 (2.3061) Prec@1 44.531 (47.249) Prec@5 72.266 (72.706)
Epoch: [99][1890/5005] Time 0.211 (0.212) Data 0.043 (0.048) Loss 2.2651 (2.3061) Prec@1 46.875 (47.252) Prec@5 71.875 (72.706)
Epoch: [99][1900/5005] Time 0.207 (0.212) Data 0.051 (0.048) Loss 2.2225 (2.3066) Prec@1 48.047 (47.242) Prec@5 75.781 (72.699)
Epoch: [99][1910/5005] Time 0.210 (0.212) Data 0.046 (0.048) Loss 2.2873 (2.3065) Prec@1 44.922 (47.236) Prec@5 74.219 (72.699)
Epoch: [99][1920/5005] Time 0.206 (0.212) Data 0.044 (0.048) Loss 2.2452 (2.3066) Prec@1 47.656 (47.231) Prec@5 73.047 (72.700)
Epoch: [99][1930/5005] Time 0.212 (0.212) Data 0.044 (0.048) Loss 2.1155 (2.3065) Prec@1 53.906 (47.236) Prec@5 75.000 (72.702)
Epoch: [99][1940/5005] Time 0.197 (0.212) Data 0.049 (0.048) Loss 2.1688 (2.3061) Prec@1 52.734 (47.242) Prec@5 75.000 (72.710)
Epoch: [99][1950/5005] Time 0.208 (0.212) Data 0.047 (0.048) Loss 2.4672 (2.3060) Prec@1 42.969 (47.245) Prec@5 68.750 (72.710)
Epoch: [99][1960/5005] Time 0.211 (0.212) Data 0.053 (0.048) Loss 2.3496 (2.3058) Prec@1 42.188 (47.251) Prec@5 71.094 (72.715)
Epoch: [99][1970/5005] Time 0.206 (0.212) Data 0.043 (0.048) Loss 2.1735 (2.3058) Prec@1 50.000 (47.248) Prec@5 76.562 (72.716)
Epoch: [99][1980/5005] Time 0.205 (0.212) Data 0.045 (0.048) Loss 2.0068 (2.3056) Prec@1 55.078 (47.254) Prec@5 76.953 (72.722)
Epoch: [99][1990/5005] Time 0.201 (0.212) Data 0.043 (0.048) Loss 2.0800 (2.3053) Prec@1 51.562 (47.265) Prec@5 73.828 (72.725)
Epoch: [99][2000/5005] Time 0.203 (0.212) Data 0.044 (0.048) Loss 2.1359 (2.3055) Prec@1 50.391 (47.261) Prec@5 76.562 (72.726)
Epoch: [99][2010/5005] Time 0.201 (0.212) Data 0.041 (0.048) Loss 2.2373 (2.3055) Prec@1 50.000 (47.256) Prec@5 73.047 (72.723)
Epoch: [99][2020/5005] Time 0.201 (0.212) Data 0.044 (0.048) Loss 2.2302 (2.3056) Prec@1 51.953 (47.255) Prec@5 71.094 (72.718)
Epoch: [99][2030/5005] Time 0.213 (0.212) Data 0.043 (0.048) Loss 2.2115 (2.3057) Prec@1 44.141 (47.249) Prec@5 76.953 (72.713)
Epoch: [99][2040/5005] Time 0.203 (0.212) Data 0.045 (0.048) Loss 2.0781 (2.3055) Prec@1 46.484 (47.252) Prec@5 77.344 (72.721)
Epoch: [99][2050/5005] Time 0.210 (0.212) Data 0.043 (0.048) Loss 2.3214 (2.3054) Prec@1 51.562 (47.260) Prec@5 71.875 (72.724)
Epoch: [99][2060/5005] Time 0.207 (0.212) Data 0.040 (0.048) Loss 2.2225 (2.3054) Prec@1 46.484 (47.254) Prec@5 73.047 (72.726)
Epoch: [99][2070/5005] Time 0.204 (0.212) Data 0.056 (0.048) Loss 2.5417 (2.3057) Prec@1 46.094 (47.247) Prec@5 66.797 (72.717)
Epoch: [99][2080/5005] Time 0.202 (0.212) Data 0.055 (0.048) Loss 2.2867 (2.3056) Prec@1 46.484 (47.251) Prec@5 76.172 (72.720)
Epoch: [99][2090/5005] Time 0.217 (0.212) Data 0.044 (0.048) Loss 2.1167 (2.3051) Prec@1 47.266 (47.258) Prec@5 76.172 (72.727)
Epoch: [99][2100/5005] Time 0.206 (0.212) Data 0.058 (0.048) Loss 2.3139 (2.3049) Prec@1 48.828 (47.263) Prec@5 73.438 (72.730)
Epoch: [99][2110/5005] Time 0.207 (0.212) Data 0.054 (0.048) Loss 2.1538 (2.3048) Prec@1 48.047 (47.262) Prec@5 76.562 (72.731)
Epoch: [99][2120/5005] Time 0.217 (0.212) Data 0.041 (0.048) Loss 2.3919 (2.3045) Prec@1 47.656 (47.265) Prec@5 69.141 (72.736)
Epoch: [99][2130/5005] Time 0.202 (0.212) Data 0.057 (0.048) Loss 2.2571 (2.3042) Prec@1 50.391 (47.276) Prec@5 73.828 (72.743)
Epoch: [99][2140/5005] Time 0.215 (0.212) Data 0.043 (0.048) Loss 2.2427 (2.3043) Prec@1 48.828 (47.272) Prec@5 75.391 (72.740)
Epoch: [99][2150/5005] Time 0.216 (0.212) Data 0.048 (0.048) Loss 2.0409 (2.3041) Prec@1 51.562 (47.272) Prec@5 76.562 (72.741)
Epoch: [99][2160/5005] Time 0.204 (0.212) Data 0.065 (0.048) Loss 2.2637 (2.3039) Prec@1 47.266 (47.276) Prec@5 71.484 (72.746)
Epoch: [99][2170/5005] Time 0.199 (0.212) Data 0.049 (0.048) Loss 2.1024 (2.3035) Prec@1 48.438 (47.282) Prec@5 78.516 (72.755)
Epoch: [99][2180/5005] Time 0.214 (0.212) Data 0.048 (0.048) Loss 2.4092 (2.3035) Prec@1 46.875 (47.288) Prec@5 70.703 (72.751)
Epoch: [99][2190/5005] Time 0.204 (0.212) Data 0.041 (0.048) Loss 2.4618 (2.3037) Prec@1 46.094 (47.289) Prec@5 67.969 (72.750)
Epoch: [99][2200/5005] Time 0.203 (0.212) Data 0.045 (0.048) Loss 2.3502 (2.3039) Prec@1 46.484 (47.283) Prec@5 68.359 (72.745)
Epoch: [99][2210/5005] Time 0.200 (0.212) Data 0.049 (0.048) Loss 2.4330 (2.3043) Prec@1 43.359 (47.280) Prec@5 69.141 (72.741)
Epoch: [99][2220/5005] Time 0.221 (0.212) Data 0.044 (0.048) Loss 2.4932 (2.3042) Prec@1 43.359 (47.277) Prec@5 68.359 (72.740)
Epoch: [99][2230/5005] Time 0.199 (0.212) Data 0.047 (0.048) Loss 2.3813 (2.3043) Prec@1 46.094 (47.276) Prec@5 74.609 (72.736)
Epoch: [99][2240/5005] Time 0.208 (0.212) Data 0.049 (0.048) Loss 2.2535 (2.3043) Prec@1 49.609 (47.278) Prec@5 73.047 (72.737)
Epoch: [99][2250/5005] Time 0.210 (0.212) Data 0.041 (0.048) Loss 2.0287 (2.3043) Prec@1 54.297 (47.276) Prec@5 76.172 (72.739)
Epoch: [99][2260/5005] Time 0.210 (0.212) Data 0.051 (0.048) Loss 2.1290 (2.3040) Prec@1 47.656 (47.284) Prec@5 75.000 (72.744)
Epoch: [99][2270/5005] Time 0.211 (0.212) Data 0.042 (0.048) Loss 2.4630 (2.3036) Prec@1 43.750 (47.286) Prec@5 72.656 (72.748)
Epoch: [99][2280/5005] Time 0.211 (0.212) Data 0.041 (0.048) Loss 2.2971 (2.3038) Prec@1 48.828 (47.283) Prec@5 74.609 (72.750)
Epoch: [99][2290/5005] Time 0.213 (0.212) Data 0.044 (0.048) Loss 2.1725 (2.3037) Prec@1 49.219 (47.281) Prec@5 75.781 (72.755)
Epoch: [99][2300/5005] Time 0.205 (0.212) Data 0.047 (0.048) Loss 2.3638 (2.3037) Prec@1 47.656 (47.284) Prec@5 68.750 (72.753)
Epoch: [99][2310/5005] Time 0.203 (0.212) Data 0.050 (0.048) Loss 2.1014 (2.3034) Prec@1 51.562 (47.297) Prec@5 75.000 (72.757)
Epoch: [99][2320/5005] Time 0.205 (0.212) Data 0.043 (0.048) Loss 2.5064 (2.3034) Prec@1 49.219 (47.300) Prec@5 70.703 (72.758)
Epoch: [99][2330/5005] Time 0.192 (0.212) Data 0.051 (0.048) Loss 2.2058 (2.3031) Prec@1 49.609 (47.304) Prec@5 75.781 (72.762)
Epoch: [99][2340/5005] Time 0.210 (0.212) Data 0.045 (0.048) Loss 2.2116 (2.3029) Prec@1 48.438 (47.308) Prec@5 75.000 (72.766)
Epoch: [99][2350/5005] Time 0.200 (0.212) Data 0.052 (0.048) Loss 2.2005 (2.3028) Prec@1 48.828 (47.308) Prec@5 70.312 (72.765)
Epoch: [99][2360/5005] Time 0.212 (0.212) Data 0.045 (0.048) Loss 2.1245 (2.3028) Prec@1 53.516 (47.307) Prec@5 73.047 (72.763)
Epoch: [99][2370/5005] Time 0.212 (0.212) Data 0.044 (0.048) Loss 2.3225 (2.3028) Prec@1 44.922 (47.304) Prec@5 71.875 (72.762)
Epoch: [99][2380/5005] Time 0.193 (0.212) Data 0.062 (0.048) Loss 2.4453 (2.3026) Prec@1 44.141 (47.307) Prec@5 71.484 (72.766)
Epoch: [99][2390/5005] Time 0.216 (0.212) Data 0.044 (0.048) Loss 2.2411 (2.3024) Prec@1 49.609 (47.309) Prec@5 73.047 (72.769)
Epoch: [99][2400/5005] Time 0.213 (0.212) Data 0.042 (0.048) Loss 2.3247 (2.3024) Prec@1 44.141 (47.308) Prec@5 69.531 (72.769)
Epoch: [99][2410/5005] Time 0.203 (0.212) Data 0.058 (0.048) Loss 2.4788 (2.3026) Prec@1 42.578 (47.303) Prec@5 68.750 (72.767)
Epoch: [99][2420/5005] Time 0.206 (0.212) Data 0.045 (0.048) Loss 2.3641 (2.3024) Prec@1 44.531 (47.306) Prec@5 71.875 (72.769)
Epoch: [99][2430/5005] Time 0.204 (0.212) Data 0.047 (0.048) Loss 2.2295 (2.3025) Prec@1 48.047 (47.306) Prec@5 72.656 (72.764)
Epoch: [99][2440/5005] Time 0.195 (0.211) Data 0.045 (0.048) Loss 2.1057 (2.3024) Prec@1 53.516 (47.310) Prec@5 72.656 (72.759)
Epoch: [99][2450/5005] Time 0.212 (0.211) Data 0.066 (0.048) Loss 2.2681 (2.3021) Prec@1 45.312 (47.313) Prec@5 72.266 (72.763)
Epoch: [99][2460/5005] Time 0.203 (0.211) Data 0.043 (0.048) Loss 2.2574 (2.3019) Prec@1 46.484 (47.318) Prec@5 74.219 (72.765)
Epoch: [99][2470/5005] Time 0.211 (0.211) Data 0.046 (0.048) Loss 2.2104 (2.3018) Prec@1 48.438 (47.318) Prec@5 74.219 (72.767)
Epoch: [99][2480/5005] Time 0.219 (0.211) Data 0.047 (0.048) Loss 2.2713 (2.3018) Prec@1 48.438 (47.317) Prec@5 75.000 (72.767)
Epoch: [99][2490/5005] Time 0.199 (0.211) Data 0.042 (0.048) Loss 2.1366 (2.3017) Prec@1 52.734 (47.318) Prec@5 77.344 (72.772)
Epoch: [99][2500/5005] Time 0.215 (0.211) Data 0.046 (0.048) Loss 2.3785 (2.3018) Prec@1 48.047 (47.319) Prec@5 72.656 (72.768)
Epoch: [99][2510/5005] Time 0.214 (0.211) Data 0.044 (0.048) Loss 2.4876 (2.3018) Prec@1 43.750 (47.316) Prec@5 69.141 (72.767)
Epoch: [99][2520/5005] Time 0.212 (0.211) Data 0.044 (0.048) Loss 2.3186 (2.3018) Prec@1 46.094 (47.316) Prec@5 71.875 (72.768)
Epoch: [99][2530/5005] Time 0.206 (0.211) Data 0.042 (0.048) Loss 2.3822 (2.3016) Prec@1 42.578 (47.319) Prec@5 71.875 (72.774)
Epoch: [99][2540/5005] Time 0.204 (0.211) Data 0.059 (0.048) Loss 2.1621 (2.3016) Prec@1 48.438 (47.321) Prec@5 73.438 (72.773)
Epoch: [99][2550/5005] Time 0.213 (0.211) Data 0.041 (0.048) Loss 2.2622 (2.3016) Prec@1 42.578 (47.319) Prec@5 74.609 (72.776)
Epoch: [99][2560/5005] Time 0.207 (0.211) Data 0.044 (0.048) Loss 2.5778 (2.3018) Prec@1 41.016 (47.315) Prec@5 68.750 (72.773)
Epoch: [99][2570/5005] Time 0.201 (0.211) Data 0.042 (0.048) Loss 2.3310 (2.3020) Prec@1 46.875 (47.310) Prec@5 71.875 (72.764)
Epoch: [99][2580/5005] Time 0.207 (0.211) Data 0.045 (0.048) Loss 2.4662 (2.3024) Prec@1 44.922 (47.303) Prec@5 69.531 (72.756)
Epoch: [99][2590/5005] Time 0.213 (0.211) Data 0.054 (0.048) Loss 2.4552 (2.3023) Prec@1 45.703 (47.308) Prec@5 71.875 (72.764)
Epoch: [99][2600/5005] Time 0.198 (0.211) Data 0.051 (0.048) Loss 2.3363 (2.3025) Prec@1 46.875 (47.303) Prec@5 74.609 (72.761)
Epoch: [99][2610/5005] Time 0.206 (0.211) Data 0.050 (0.048) Loss 2.3645 (2.3022) Prec@1 49.609 (47.310) Prec@5 69.922 (72.766)
Epoch: [99][2620/5005] Time 0.208 (0.211) Data 0.042 (0.048) Loss 2.2284 (2.3021) Prec@1 48.047 (47.312) Prec@5 73.828 (72.770)
Epoch: [99][2630/5005] Time 0.206 (0.211) Data 0.043 (0.048) Loss 2.3857 (2.3024) Prec@1 46.484 (47.308) Prec@5 72.656 (72.765)
Epoch: [99][2640/5005] Time 0.198 (0.211) Data 0.056 (0.048) Loss 2.4627 (2.3024) Prec@1 43.750 (47.309) Prec@5 69.922 (72.765)
Epoch: [99][2650/5005] Time 0.203 (0.211) Data 0.043 (0.048) Loss 2.5206 (2.3024) Prec@1 43.750 (47.311) Prec@5 67.969 (72.763)
Epoch: [99][2660/5005] Time 0.202 (0.211) Data 0.062 (0.048) Loss 2.2887 (2.3022) Prec@1 47.656 (47.313) Prec@5 71.484 (72.763)
Epoch: [99][2670/5005] Time 0.211 (0.211) Data 0.045 (0.048) Loss 2.0871 (2.3020) Prec@1 49.219 (47.324) Prec@5 73.047 (72.767)
Epoch: [99][2680/5005] Time 0.207 (0.211) Data 0.049 (0.048) Loss 2.1687 (2.3019) Prec@1 51.953 (47.322) Prec@5 74.219 (72.768)
Epoch: [99][2690/5005] Time 0.215 (0.211) Data 0.053 (0.048) Loss 2.0608 (2.3018) Prec@1 55.859 (47.324) Prec@5 76.562 (72.768)
Epoch: [99][2700/5005] Time 0.206 (0.211) Data 0.046 (0.048) Loss 2.2352 (2.3018) Prec@1 47.266 (47.324) Prec@5 74.219 (72.773)
Epoch: [99][2710/5005] Time 0.211 (0.211) Data 0.057 (0.048) Loss 2.1201 (2.3019) Prec@1 48.047 (47.320) Prec@5 73.438 (72.771)
Epoch: [99][2720/5005] Time 0.201 (0.211) Data 0.043 (0.048) Loss 2.2196 (2.3019) Prec@1 51.172 (47.320) Prec@5 76.953 (72.771)
Epoch: [99][2730/5005] Time 0.213 (0.211) Data 0.043 (0.048) Loss 2.3068 (2.3017) Prec@1 48.438 (47.324) Prec@5 70.703 (72.773)
Epoch: [99][2740/5005] Time 0.209 (0.211) Data 0.044 (0.048) Loss 2.1889 (2.3016) Prec@1 48.828 (47.331) Prec@5 75.391 (72.775)
Epoch: [99][2750/5005] Time 0.205 (0.211) Data 0.048 (0.048) Loss 2.3191 (2.3015) Prec@1 43.750 (47.334) Prec@5 73.047 (72.778)
Epoch: [99][2760/5005] Time 0.208 (0.211) Data 0.041 (0.048) Loss 2.2601 (2.3014) Prec@1 47.266 (47.337) Prec@5 72.656 (72.779)
Epoch: [99][2770/5005] Time 0.205 (0.211) Data 0.052 (0.048) Loss 2.2372 (2.3014) Prec@1 47.266 (47.334) Prec@5 75.000 (72.783)
Epoch: [99][2780/5005] Time 0.209 (0.211) Data 0.044 (0.048) Loss 2.6213 (2.3015) Prec@1 41.797 (47.337) Prec@5 64.453 (72.781)
Epoch: [99][2790/5005] Time 0.214 (0.211) Data 0.042 (0.048) Loss 2.5147 (2.3016) Prec@1 39.453 (47.334) Prec@5 70.703 (72.780)
Epoch: [99][2800/5005] Time 0.207 (0.211) Data 0.042 (0.048) Loss 1.9745 (2.3015) Prec@1 55.078 (47.338) Prec@5 74.609 (72.780)
Epoch: [99][2810/5005] Time 0.202 (0.211) Data 0.046 (0.048) Loss 2.4352 (2.3015) Prec@1 48.828 (47.341) Prec@5 71.094 (72.784)
Epoch: [99][2820/5005] Time 0.211 (0.211) Data 0.057 (0.048) Loss 1.9648 (2.3014) Prec@1 51.172 (47.342) Prec@5 76.953 (72.784)
Epoch: [99][2830/5005] Time 0.205 (0.211) Data 0.042 (0.048) Loss 2.5263 (2.3014) Prec@1 41.797 (47.339) Prec@5 67.578 (72.783)
Epoch: [99][2840/5005] Time 0.206 (0.211) Data 0.044 (0.048) Loss 2.2787 (2.3013) Prec@1 47.656 (47.338) Prec@5 73.828 (72.785)
Epoch: [99][2850/5005] Time 0.208 (0.211) Data 0.041 (0.048) Loss 2.2845 (2.3012) Prec@1 49.219 (47.343) Prec@5 73.047 (72.785)
Epoch: [99][2860/5005] Time 0.206 (0.211) Data 0.045 (0.048) Loss 2.2240 (2.3012) Prec@1 49.219 (47.347) Prec@5 74.609 (72.785)
Epoch: [99][2870/5005] Time 0.201 (0.211) Data 0.041 (0.048) Loss 2.0905 (2.3009) Prec@1 51.953 (47.353) Prec@5 76.172 (72.793)
Epoch: [99][2880/5005] Time 0.207 (0.211) Data 0.050 (0.048) Loss 2.4146 (2.3010) Prec@1 39.844 (47.349) Prec@5 74.219 (72.791)
Epoch: [99][2890/5005] Time 0.209 (0.211) Data 0.043 (0.048) Loss 2.3157 (2.3009) Prec@1 41.406 (47.350) Prec@5 73.438 (72.792)
Epoch: [99][2900/5005] Time 0.217 (0.211) Data 0.041 (0.048) Loss 2.0242 (2.3006) Prec@1 53.906 (47.357) Prec@5 76.953 (72.794)
Epoch: [99][2910/5005] Time 0.211 (0.211) Data 0.042 (0.048) Loss 2.2834 (2.3006) Prec@1 46.094 (47.358) Prec@5 74.609 (72.796)
Epoch: [99][2920/5005] Time 0.214 (0.211) Data 0.043 (0.048) Loss 2.3787 (2.3007) Prec@1 41.797 (47.356) Prec@5 71.875 (72.795)
Epoch: [99][2930/5005] Time 0.208 (0.211) Data 0.048 (0.048) Loss 2.5023 (2.3006) Prec@1 41.406 (47.357) Prec@5 69.922 (72.798)
Epoch: [99][2940/5005] Time 0.208 (0.211) Data 0.048 (0.048) Loss 2.3732 (2.3005) Prec@1 49.219 (47.362) Prec@5 69.141 (72.800)
Epoch: [99][2950/5005] Time 0.209 (0.211) Data 0.044 (0.048) Loss 2.4309 (2.3003) Prec@1 44.141 (47.363) Prec@5 73.047 (72.803)
Epoch: [99][2960/5005] Time 0.198 (0.211) Data 0.049 (0.048) Loss 2.2205 (2.3002) Prec@1 48.047 (47.370) Prec@5 75.000 (72.806)
Epoch: [99][2970/5005] Time 0.210 (0.211) Data 0.053 (0.048) Loss 2.3528 (2.3000) Prec@1 42.188 (47.373) Prec@5 69.531 (72.807)
Epoch: [99][2980/5005] Time 0.206 (0.211) Data 0.060 (0.048) Loss 2.2999 (2.3000) Prec@1 48.828 (47.377) Prec@5 74.219 (72.807)
Epoch: [99][2990/5005] Time 0.202 (0.211) Data 0.053 (0.048) Loss 2.2925 (2.3001) Prec@1 46.875 (47.376) Prec@5 71.484 (72.804)
Epoch: [99][3000/5005] Time 0.204 (0.211) Data 0.053 (0.048) Loss 2.3898 (2.3000) Prec@1 44.141 (47.380) Prec@5 70.703 (72.808)
Epoch: [99][3010/5005] Time 0.218 (0.211) Data 0.046 (0.048) Loss 2.1419 (2.3000) Prec@1 46.484 (47.377) Prec@5 76.562 (72.809)
Epoch: [99][3020/5005] Time 0.199 (0.211) Data 0.049 (0.048) Loss 2.1782 (2.3001) Prec@1 48.828 (47.378) Prec@5 73.438 (72.806)
Epoch: [99][3030/5005] Time 0.208 (0.211) Data 0.055 (0.048) Loss 2.2115 (2.3000) Prec@1 47.656 (47.377) Prec@5 76.172 (72.809)
Epoch: [99][3040/5005] Time 0.207 (0.211) Data 0.047 (0.048) Loss 2.2150 (2.3000) Prec@1 50.781 (47.383) Prec@5 73.047 (72.809)
Epoch: [99][3050/5005] Time 0.204 (0.211) Data 0.066 (0.048) Loss 2.2383 (2.2999) Prec@1 46.484 (47.382) Prec@5 75.781 (72.814)
Epoch: [99][3060/5005] Time 0.210 (0.211) Data 0.042 (0.048) Loss 2.1519 (2.2997) Prec@1 54.688 (47.385) Prec@5 75.000 (72.815)
Epoch: [99][3070/5005] Time 0.202 (0.211) Data 0.046 (0.048) Loss 2.2301 (2.2998) Prec@1 45.312 (47.383) Prec@5 75.000 (72.815)
Epoch: [99][3080/5005] Time 0.211 (0.211) Data 0.040 (0.048) Loss 2.1287 (2.2997) Prec@1 43.750 (47.380) Prec@5 75.391 (72.817)
Epoch: [99][3090/5005] Time 0.209 (0.211) Data 0.041 (0.048) Loss 2.3997 (2.2996) Prec@1 43.359 (47.382) Prec@5 69.922 (72.819)
Epoch: [99][3100/5005] Time 0.210 (0.211) Data 0.047 (0.048) Loss 2.3704 (2.2998) Prec@1 44.141 (47.378) Prec@5 70.312 (72.815)
Epoch: [99][3110/5005] Time 0.211 (0.211) Data 0.043 (0.048) Loss 2.1294 (2.2996) Prec@1 48.828 (47.379) Prec@5 79.297 (72.820)
Epoch: [99][3120/5005] Time 0.214 (0.211) Data 0.042 (0.048) Loss 2.4146 (2.2996) Prec@1 48.047 (47.377) Prec@5 69.922 (72.816)
Epoch: [99][3130/5005] Time 0.213 (0.211) Data 0.041 (0.048) Loss 2.3012 (2.2993) Prec@1 43.359 (47.381) Prec@5 73.047 (72.821)
Epoch: [99][3140/5005] Time 0.209 (0.211) Data 0.039 (0.048) Loss 2.0490 (2.2991) Prec@1 53.125 (47.384) Prec@5 76.562 (72.822)
Epoch: [99][3150/5005] Time 0.210 (0.211) Data 0.042 (0.048) Loss 2.3856 (2.2990) Prec@1 47.656 (47.389) Prec@5 70.312 (72.822)
Epoch: [99][3160/5005] Time 0.210 (0.211) Data 0.042 (0.048) Loss 2.1919 (2.2991) Prec@1 53.516 (47.392) Prec@5 75.000 (72.822)
Epoch: [99][3170/5005] Time 0.204 (0.211) Data 0.052 (0.048) Loss 2.3135 (2.2991) Prec@1 48.828 (47.393) Prec@5 72.266 (72.821)
Epoch: [99][3180/5005] Time 0.212 (0.211) Data 0.043 (0.048) Loss 2.1653 (2.2992) Prec@1 52.344 (47.394) Prec@5 70.312 (72.817)
Epoch: [99][3190/5005] Time 0.212 (0.211) Data 0.047 (0.048) Loss 2.3496 (2.2994) Prec@1 48.828 (47.391) Prec@5 71.094 (72.817)
Epoch: [99][3200/5005] Time 0.211 (0.211) Data 0.043 (0.048) Loss 2.4199 (2.2993) Prec@1 43.750 (47.394) Prec@5 71.875 (72.817)
Epoch: [99][3210/5005] Time 0.201 (0.211) Data 0.042 (0.048) Loss 2.3372 (2.2993) Prec@1 48.438 (47.395) Prec@5 70.312 (72.817)
Epoch: [99][3220/5005] Time 0.211 (0.211) Data 0.043 (0.048) Loss 2.4681 (2.2993) Prec@1 46.094 (47.396) Prec@5 70.312 (72.817)
Epoch: [99][3230/5005] Time 0.204 (0.211) Data 0.041 (0.048) Loss 2.2233 (2.2991) Prec@1 49.219 (47.401) Prec@5 74.219 (72.822)
Epoch: [99][3240/5005] Time 0.208 (0.211) Data 0.043 (0.048) Loss 2.5868 (2.2994) Prec@1 41.016 (47.394) Prec@5 65.234 (72.817)
Epoch: [99][3250/5005] Time 0.211 (0.211) Data 0.043 (0.048) Loss 2.2394 (2.2995) Prec@1 48.047 (47.393) Prec@5 73.828 (72.818)
Epoch: [99][3260/5005] Time 0.197 (0.211) Data 0.060 (0.048) Loss 2.2410 (2.2996) Prec@1 50.391 (47.388) Prec@5 75.391 (72.819)
Epoch: [99][3270/5005] Time 0.216 (0.211) Data 0.043 (0.048) Loss 2.4209 (2.2994) Prec@1 47.266 (47.391) Prec@5 68.750 (72.821)
Epoch: [99][3280/5005] Time 0.204 (0.211) Data 0.051 (0.048) Loss 2.0965 (2.2993) Prec@1 54.688 (47.390) Prec@5 75.781 (72.819)
Epoch: [99][3290/5005] Time 0.206 (0.211) Data 0.058 (0.048) Loss 2.3921 (2.2992) Prec@1 47.266 (47.393) Prec@5 69.141 (72.820)
Epoch: [99][3300/5005] Time 0.185 (0.211) Data 0.062 (0.048) Loss 2.2029 (2.2991) Prec@1 48.047 (47.394) Prec@5 73.438 (72.822)
Epoch: [99][3310/5005] Time 0.214 (0.211) Data 0.044 (0.048) Loss 2.1209 (2.2991) Prec@1 51.562 (47.398) Prec@5 73.828 (72.820)
Epoch: [99][3320/5005] Time 0.207 (0.210) Data 0.045 (0.048) Loss 2.2611 (2.2992) Prec@1 50.391 (47.398) Prec@5 71.875 (72.818)
Epoch: [99][3330/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.3717 (2.2993) Prec@1 46.484 (47.397) Prec@5 69.922 (72.816)
Epoch: [99][3340/5005] Time 0.197 (0.210) Data 0.057 (0.048) Loss 2.3969 (2.2993) Prec@1 43.750 (47.394) Prec@5 73.047 (72.814)
Epoch: [99][3350/5005] Time 0.204 (0.210) Data 0.058 (0.048) Loss 2.4180 (2.2992) Prec@1 44.141 (47.393) Prec@5 71.875 (72.814)
Epoch: [99][3360/5005] Time 0.196 (0.210) Data 0.051 (0.048) Loss 2.1772 (2.2992) Prec@1 49.219 (47.394) Prec@5 77.344 (72.811)
Epoch: [99][3370/5005] Time 0.208 (0.210) Data 0.047 (0.048) Loss 2.3350 (2.2993) Prec@1 44.531 (47.391) Prec@5 71.484 (72.807)
Epoch: [99][3380/5005] Time 0.204 (0.210) Data 0.046 (0.048) Loss 2.3242 (2.2992) Prec@1 47.656 (47.391) Prec@5 74.219 (72.810)
Epoch: [99][3390/5005] Time 0.206 (0.210) Data 0.042 (0.048) Loss 2.2325 (2.2994) Prec@1 49.609 (47.387) Prec@5 73.438 (72.806)
Epoch: [99][3400/5005] Time 0.207 (0.210) Data 0.046 (0.048) Loss 2.2416 (2.2994) Prec@1 46.875 (47.388) Prec@5 76.172 (72.807)
Epoch: [99][3410/5005] Time 0.191 (0.210) Data 0.043 (0.048) Loss 2.3010 (2.2994) Prec@1 46.484 (47.386) Prec@5 73.828 (72.805)
Epoch: [99][3420/5005] Time 0.204 (0.210) Data 0.062 (0.048) Loss 2.3331 (2.2995) Prec@1 46.484 (47.382) Prec@5 71.094 (72.804)
Epoch: [99][3430/5005] Time 0.213 (0.210) Data 0.052 (0.048) Loss 2.2727 (2.2993) Prec@1 44.922 (47.385) Prec@5 70.703 (72.807)
Epoch: [99][3440/5005] Time 0.202 (0.210) Data 0.042 (0.048) Loss 2.3793 (2.2992) Prec@1 46.094 (47.389) Prec@5 71.484 (72.809)
Epoch: [99][3450/5005] Time 0.212 (0.210) Data 0.042 (0.048) Loss 2.0150 (2.2990) Prec@1 49.219 (47.394) Prec@5 80.469 (72.815)
Epoch: [99][3460/5005] Time 0.216 (0.210) Data 0.045 (0.048) Loss 2.2721 (2.2990) Prec@1 48.828 (47.397) Prec@5 71.484 (72.817)
Epoch: [99][3470/5005] Time 0.207 (0.210) Data 0.041 (0.048) Loss 2.0927 (2.2987) Prec@1 55.859 (47.401) Prec@5 77.344 (72.820)
Epoch: [99][3480/5005] Time 0.206 (0.210) Data 0.044 (0.048) Loss 2.3042 (2.2986) Prec@1 47.656 (47.402) Prec@5 72.656 (72.824)
Epoch: [99][3490/5005] Time 0.210 (0.210) Data 0.042 (0.048) Loss 2.2443 (2.2987) Prec@1 44.922 (47.399) Prec@5 76.172 (72.822)
Epoch: [99][3500/5005] Time 0.198 (0.210) Data 0.044 (0.048) Loss 2.2362 (2.2987) Prec@1 47.656 (47.399) Prec@5 73.438 (72.824)
Epoch: [99][3510/5005] Time 0.210 (0.210) Data 0.049 (0.048) Loss 2.2115 (2.2986) Prec@1 42.578 (47.397) Prec@5 73.438 (72.823)
Epoch: [99][3520/5005] Time 0.199 (0.210) Data 0.051 (0.048) Loss 2.4549 (2.2986) Prec@1 50.000 (47.398) Prec@5 69.531 (72.824)
Epoch: [99][3530/5005] Time 0.215 (0.210) Data 0.043 (0.048) Loss 2.2688 (2.2984) Prec@1 48.438 (47.403) Prec@5 73.047 (72.827)
Epoch: [99][3540/5005] Time 0.207 (0.210) Data 0.040 (0.048) Loss 2.2155 (2.2983) Prec@1 49.609 (47.407) Prec@5 75.781 (72.829)
Epoch: [99][3550/5005] Time 0.208 (0.210) Data 0.045 (0.048) Loss 2.3078 (2.2981) Prec@1 46.094 (47.408) Prec@5 71.484 (72.831)
Epoch: [99][3560/5005] Time 0.203 (0.210) Data 0.046 (0.048) Loss 2.3308 (2.2981) Prec@1 44.531 (47.404) Prec@5 71.875 (72.831)
Epoch: [99][3570/5005] Time 0.199 (0.210) Data 0.065 (0.048) Loss 2.4457 (2.2981) Prec@1 47.266 (47.404) Prec@5 68.750 (72.828)
Epoch: [99][3580/5005] Time 0.194 (0.210) Data 0.052 (0.048) Loss 2.1114 (2.2981) Prec@1 52.734 (47.405) Prec@5 75.000 (72.828)
Epoch: [99][3590/5005] Time 0.205 (0.210) Data 0.048 (0.048) Loss 2.3886 (2.2977) Prec@1 45.703 (47.413) Prec@5 67.969 (72.835)
Epoch: [99][3600/5005] Time 0.202 (0.210) Data 0.057 (0.048) Loss 2.3443 (2.2975) Prec@1 49.609 (47.419) Prec@5 72.266 (72.836)
Epoch: [99][3610/5005] Time 0.203 (0.210) Data 0.041 (0.048) Loss 2.0764 (2.2975) Prec@1 54.297 (47.418) Prec@5 76.172 (72.836)
Epoch: [99][3620/5005] Time 0.200 (0.210) Data 0.047 (0.048) Loss 2.3928 (2.2972) Prec@1 42.578 (47.424) Prec@5 71.484 (72.840)
Epoch: [99][3630/5005] Time 0.207 (0.210) Data 0.047 (0.048) Loss 2.5538 (2.2971) Prec@1 44.922 (47.430) Prec@5 69.141 (72.840)
Epoch: [99][3640/5005] Time 0.201 (0.210) Data 0.041 (0.048) Loss 2.1595 (2.2970) Prec@1 51.172 (47.434) Prec@5 75.000 (72.839)
Epoch: [99][3650/5005] Time 0.199 (0.210) Data 0.044 (0.048) Loss 2.2094 (2.2971) Prec@1 47.656 (47.431) Prec@5 76.172 (72.838)
Epoch: [99][3660/5005] Time 0.211 (0.210) Data 0.046 (0.048) Loss 2.3980 (2.2969) Prec@1 42.969 (47.433) Prec@5 72.266 (72.843)
Epoch: [99][3670/5005] Time 0.198 (0.210) Data 0.047 (0.048) Loss 2.4368 (2.2971) Prec@1 44.141 (47.432) Prec@5 72.266 (72.841)
Epoch: [99][3680/5005] Time 0.195 (0.210) Data 0.062 (0.048) Loss 2.2119 (2.2972) Prec@1 46.094 (47.429) Prec@5 76.562 (72.841)
Epoch: [99][3690/5005] Time 0.202 (0.210) Data 0.045 (0.048) Loss 2.0670 (2.2971) Prec@1 49.219 (47.431) Prec@5 76.172 (72.841)
Epoch: [99][3700/5005] Time 0.204 (0.210) Data 0.042 (0.048) Loss 2.3559 (2.2972) Prec@1 48.438 (47.431) Prec@5 71.484 (72.839)
Epoch: [99][3710/5005] Time 0.214 (0.210) Data 0.045 (0.048) Loss 2.2930 (2.2972) Prec@1 49.219 (47.431) Prec@5 74.219 (72.838)
Epoch: [99][3720/5005] Time 0.200 (0.210) Data 0.051 (0.048) Loss 2.3548 (2.2971) Prec@1 50.000 (47.433) Prec@5 71.094 (72.842)
Epoch: [99][3730/5005] Time 0.205 (0.210) Data 0.052 (0.048) Loss 2.1158 (2.2970) Prec@1 48.828 (47.433) Prec@5 76.172 (72.844)
Epoch: [99][3740/5005] Time 0.209 (0.210) Data 0.042 (0.048) Loss 2.2000 (2.2967) Prec@1 47.656 (47.435) Prec@5 76.562 (72.850)
Epoch: [99][3750/5005] Time 0.193 (0.210) Data 0.046 (0.048) Loss 2.2117 (2.2969) Prec@1 47.266 (47.433) Prec@5 75.000 (72.848)
Epoch: [99][3760/5005] Time 0.205 (0.210) Data 0.051 (0.048) Loss 2.3945 (2.2969) Prec@1 45.703 (47.431) Prec@5 71.484 (72.847)
Epoch: [99][3770/5005] Time 0.202 (0.210) Data 0.041 (0.048) Loss 2.2776 (2.2968) Prec@1 45.703 (47.434) Prec@5 74.609 (72.849)
Epoch: [99][3780/5005] Time 0.204 (0.210) Data 0.042 (0.048) Loss 2.2268 (2.2966) Prec@1 50.391 (47.438) Prec@5 73.438 (72.850)
Epoch: [99][3790/5005] Time 0.199 (0.210) Data 0.050 (0.048) Loss 2.5106 (2.2967) Prec@1 43.750 (47.435) Prec@5 71.094 (72.851)
Epoch: [99][3800/5005] Time 0.212 (0.210) Data 0.048 (0.048) Loss 2.2260 (2.2969) Prec@1 46.875 (47.431) Prec@5 72.266 (72.847)
Epoch: [99][3810/5005] Time 0.212 (0.210) Data 0.047 (0.048) Loss 2.3353 (2.2970) Prec@1 45.703 (47.427) Prec@5 72.656 (72.845)
Epoch: [99][3820/5005] Time 0.203 (0.210) Data 0.043 (0.048) Loss 2.2116 (2.2968) Prec@1 48.047 (47.431) Prec@5 73.438 (72.847)
Epoch: [99][3830/5005] Time 0.208 (0.210) Data 0.048 (0.048) Loss 2.3247 (2.2967) Prec@1 46.094 (47.432) Prec@5 72.266 (72.850)
Epoch: [99][3840/5005] Time 0.197 (0.210) Data 0.042 (0.048) Loss 2.4650 (2.2968) Prec@1 43.750 (47.430) Prec@5 70.703 (72.846)
Epoch: [99][3850/5005] Time 0.207 (0.210) Data 0.041 (0.048) Loss 2.3114 (2.2967) Prec@1 47.656 (47.431) Prec@5 76.562 (72.852)
Epoch: [99][3860/5005] Time 0.212 (0.210) Data 0.046 (0.048) Loss 2.0541 (2.2967) Prec@1 56.250 (47.433) Prec@5 75.781 (72.853)
Epoch: [99][3870/5005] Time 0.204 (0.210) Data 0.045 (0.048) Loss 2.1896 (2.2967) Prec@1 49.219 (47.431) Prec@5 73.438 (72.849)
Epoch: [99][3880/5005] Time 0.215 (0.210) Data 0.050 (0.048) Loss 2.1256 (2.2966) Prec@1 55.469 (47.435) Prec@5 73.828 (72.850)
Epoch: [99][3890/5005] Time 0.200 (0.210) Data 0.057 (0.048) Loss 2.4824 (2.2966) Prec@1 43.359 (47.437) Prec@5 67.188 (72.848)
Epoch: [99][3900/5005] Time 0.212 (0.210) Data 0.046 (0.048) Loss 2.6554 (2.2967) Prec@1 44.141 (47.435) Prec@5 65.625 (72.848)
Epoch: [99][3910/5005] Time 0.223 (0.210) Data 0.047 (0.048) Loss 2.2421 (2.2966) Prec@1 51.172 (47.436) Prec@5 74.219 (72.849)
Epoch: [99][3920/5005] Time 0.201 (0.210) Data 0.042 (0.048) Loss 2.4501 (2.2967) Prec@1 45.703 (47.435) Prec@5 71.094 (72.844)
Epoch: [99][3930/5005] Time 0.206 (0.210) Data 0.051 (0.048) Loss 2.1660 (2.2965) Prec@1 50.391 (47.440) Prec@5 73.438 (72.849)
Epoch: [99][3940/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.3099 (2.2965) Prec@1 48.438 (47.441) Prec@5 73.047 (72.849)
Epoch: [99][3950/5005] Time 0.206 (0.210) Data 0.044 (0.048) Loss 2.1498 (2.2963) Prec@1 48.828 (47.443) Prec@5 75.781 (72.852)
Epoch: [99][3960/5005] Time 0.213 (0.210) Data 0.042 (0.048) Loss 2.2616 (2.2963) Prec@1 48.438 (47.442) Prec@5 75.000 (72.852)
Epoch: [99][3970/5005] Time 0.203 (0.210) Data 0.041 (0.048) Loss 2.4099 (2.2963) Prec@1 46.484 (47.441) Prec@5 71.875 (72.852)
Epoch: [99][3980/5005] Time 0.203 (0.210) Data 0.042 (0.048) Loss 2.2182 (2.2963) Prec@1 46.875 (47.440) Prec@5 72.656 (72.853)
Epoch: [99][3990/5005] Time 0.203 (0.210) Data 0.052 (0.048) Loss 2.2854 (2.2962) Prec@1 48.438 (47.438) Prec@5 73.438 (72.855)
Epoch: [99][4000/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.2383 (2.2963) Prec@1 48.047 (47.437) Prec@5 73.047 (72.854)
Epoch: [99][4010/5005] Time 0.215 (0.210) Data 0.045 (0.048) Loss 2.2571 (2.2961) Prec@1 47.266 (47.441) Prec@5 73.438 (72.856)
Epoch: [99][4020/5005] Time 0.212 (0.210) Data 0.041 (0.048) Loss 2.4568 (2.2962) Prec@1 45.703 (47.440) Prec@5 68.359 (72.855)
Epoch: [99][4030/5005] Time 0.191 (0.210) Data 0.053 (0.048) Loss 2.3883 (2.2965) Prec@1 44.531 (47.435) Prec@5 70.703 (72.847)
Epoch: [99][4040/5005] Time 0.213 (0.210) Data 0.047 (0.048) Loss 2.4144 (2.2966) Prec@1 46.875 (47.433) Prec@5 70.312 (72.847)
Epoch: [99][4050/5005] Time 0.201 (0.210) Data 0.041 (0.048) Loss 2.5638 (2.2965) Prec@1 43.750 (47.437) Prec@5 66.406 (72.848)
Epoch: [99][4060/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.2923 (2.2966) Prec@1 45.312 (47.435) Prec@5 70.703 (72.847)
Epoch: [99][4070/5005] Time 0.202 (0.210) Data 0.044 (0.048) Loss 2.4961 (2.2965) Prec@1 47.656 (47.437) Prec@5 70.703 (72.846)
Epoch: [99][4080/5005] Time 0.195 (0.210) Data 0.062 (0.048) Loss 2.2131 (2.2965) Prec@1 46.875 (47.436) Prec@5 73.828 (72.846)
Epoch: [99][4090/5005] Time 0.195 (0.210) Data 0.051 (0.048) Loss 2.4536 (2.2965) Prec@1 45.312 (47.436) Prec@5 70.703 (72.846)
Epoch: [99][4100/5005] Time 0.199 (0.210) Data 0.042 (0.048) Loss 2.1576 (2.2964) Prec@1 44.922 (47.433) Prec@5 77.734 (72.847)
Epoch: [99][4110/5005] Time 0.202 (0.210) Data 0.065 (0.048) Loss 2.4316 (2.2964) Prec@1 41.797 (47.430) Prec@5 73.047 (72.849)
Epoch: [99][4120/5005] Time 0.214 (0.210) Data 0.045 (0.048) Loss 2.2593 (2.2962) Prec@1 50.000 (47.435) Prec@5 73.047 (72.852)
Epoch: [99][4130/5005] Time 0.208 (0.210) Data 0.050 (0.048) Loss 2.4880 (2.2961) Prec@1 42.578 (47.437) Prec@5 67.188 (72.852)
Epoch: [99][4140/5005] Time 0.194 (0.210) Data 0.056 (0.048) Loss 2.3307 (2.2961) Prec@1 47.266 (47.436) Prec@5 70.703 (72.852)
Epoch: [99][4150/5005] Time 0.199 (0.210) Data 0.045 (0.048) Loss 2.3789 (2.2961) Prec@1 48.047 (47.437) Prec@5 73.047 (72.851)
Epoch: [99][4160/5005] Time 0.193 (0.210) Data 0.048 (0.048) Loss 2.1750 (2.2962) Prec@1 51.172 (47.435) Prec@5 73.828 (72.852)
Epoch: [99][4170/5005] Time 0.203 (0.210) Data 0.045 (0.048) Loss 2.2868 (2.2961) Prec@1 44.531 (47.438) Prec@5 72.656 (72.854)
Epoch: [99][4180/5005] Time 0.203 (0.210) Data 0.043 (0.048) Loss 2.2162 (2.2961) Prec@1 49.219 (47.436) Prec@5 73.828 (72.854)
Epoch: [99][4190/5005] Time 0.213 (0.210) Data 0.044 (0.048) Loss 2.1117 (2.2961) Prec@1 48.828 (47.436) Prec@5 72.656 (72.853)
Epoch: [99][4200/5005] Time 0.213 (0.210) Data 0.048 (0.048) Loss 2.1822 (2.2961) Prec@1 46.094 (47.436) Prec@5 73.438 (72.851)
Epoch: [99][4210/5005] Time 0.210 (0.210) Data 0.041 (0.048) Loss 2.1002 (2.2961) Prec@1 50.391 (47.435) Prec@5 78.125 (72.853)
Epoch: [99][4220/5005] Time 0.210 (0.210) Data 0.046 (0.048) Loss 2.3825 (2.2961) Prec@1 47.266 (47.436) Prec@5 71.875 (72.850)
Epoch: [99][4230/5005] Time 0.209 (0.210) Data 0.040 (0.048) Loss 2.3515 (2.2962) Prec@1 46.875 (47.436) Prec@5 71.484 (72.848)
Epoch: [99][4240/5005] Time 0.211 (0.210) Data 0.048 (0.048) Loss 2.1587 (2.2962) Prec@1 47.266 (47.435) Prec@5 75.000 (72.848)
Epoch: [99][4250/5005] Time 0.210 (0.210) Data 0.039 (0.048) Loss 2.1936 (2.2960) Prec@1 45.703 (47.435) Prec@5 73.438 (72.848)
Epoch: [99][4260/5005] Time 0.194 (0.210) Data 0.042 (0.048) Loss 2.3292 (2.2960) Prec@1 41.406 (47.436) Prec@5 71.875 (72.848)
Epoch: [99][4270/5005] Time 0.213 (0.210) Data 0.049 (0.048) Loss 2.4556 (2.2961) Prec@1 47.266 (47.436) Prec@5 73.047 (72.847)
Epoch: [99][4280/5005] Time 0.215 (0.210) Data 0.042 (0.048) Loss 2.4631 (2.2960) Prec@1 42.969 (47.434) Prec@5 68.359 (72.846)
Epoch: [99][4290/5005] Time 0.199 (0.210) Data 0.047 (0.048) Loss 2.5454 (2.2961) Prec@1 42.578 (47.433) Prec@5 66.016 (72.845)
Epoch: [99][4300/5005] Time 0.201 (0.210) Data 0.044 (0.048) Loss 2.1408 (2.2959) Prec@1 52.344 (47.438) Prec@5 75.391 (72.849)
Epoch: [99][4310/5005] Time 0.207 (0.210) Data 0.040 (0.048) Loss 2.2441 (2.2958) Prec@1 47.266 (47.439) Prec@5 72.656 (72.850)
Epoch: [99][4320/5005] Time 0.206 (0.210) Data 0.060 (0.048) Loss 2.2356 (2.2958) Prec@1 49.609 (47.439) Prec@5 75.000 (72.851)
Epoch: [99][4330/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.2294 (2.2956) Prec@1 44.531 (47.438) Prec@5 75.391 (72.854)
Epoch: [99][4340/5005] Time 0.202 (0.210) Data 0.045 (0.048) Loss 2.3102 (2.2958) Prec@1 47.266 (47.434) Prec@5 73.047 (72.852)
Epoch: [99][4350/5005] Time 0.195 (0.210) Data 0.047 (0.048) Loss 2.4598 (2.2957) Prec@1 46.875 (47.438) Prec@5 74.609 (72.854)
Epoch: [99][4360/5005] Time 0.206 (0.210) Data 0.041 (0.048) Loss 2.1723 (2.2956) Prec@1 48.047 (47.439) Prec@5 75.391 (72.856)
Epoch: [99][4370/5005] Time 0.206 (0.210) Data 0.042 (0.048) Loss 2.1635 (2.2957) Prec@1 48.828 (47.439) Prec@5 74.219 (72.853)
Epoch: [99][4380/5005] Time 0.200 (0.210) Data 0.055 (0.048) Loss 2.3050 (2.2957) Prec@1 44.531 (47.437) Prec@5 69.922 (72.850)
Epoch: [99][4390/5005] Time 0.220 (0.210) Data 0.043 (0.048) Loss 2.4219 (2.2956) Prec@1 45.312 (47.442) Prec@5 68.750 (72.853)
Epoch: [99][4400/5005] Time 0.200 (0.210) Data 0.045 (0.048) Loss 2.1152 (2.2955) Prec@1 52.734 (47.446) Prec@5 77.344 (72.853)
Epoch: [99][4410/5005] Time 0.213 (0.210) Data 0.049 (0.048) Loss 2.3315 (2.2954) Prec@1 48.438 (47.447) Prec@5 73.828 (72.855)
Epoch: [99][4420/5005] Time 0.206 (0.210) Data 0.064 (0.048) Loss 1.9034 (2.2952) Prec@1 51.562 (47.448) Prec@5 80.469 (72.858)
Epoch: [99][4430/5005] Time 0.205 (0.210) Data 0.047 (0.048) Loss 2.4505 (2.2951) Prec@1 43.750 (47.451) Prec@5 69.141 (72.858)
Epoch: [99][4440/5005] Time 0.213 (0.210) Data 0.049 (0.048) Loss 2.4825 (2.2952) Prec@1 43.359 (47.451) Prec@5 69.531 (72.857)
Epoch: [99][4450/5005] Time 0.205 (0.210) Data 0.051 (0.048) Loss 2.2052 (2.2952) Prec@1 49.219 (47.450) Prec@5 73.828 (72.856)
Epoch: [99][4460/5005] Time 0.215 (0.210) Data 0.042 (0.048) Loss 2.3660 (2.2952) Prec@1 44.531 (47.450) Prec@5 71.875 (72.857)
Epoch: [99][4470/5005] Time 0.201 (0.210) Data 0.045 (0.048) Loss 2.2559 (2.2953) Prec@1 47.266 (47.451) Prec@5 74.219 (72.858)
Epoch: [99][4480/5005] Time 0.216 (0.210) Data 0.045 (0.048) Loss 2.0782 (2.2954) Prec@1 49.219 (47.448) Prec@5 73.438 (72.855)
Epoch: [99][4490/5005] Time 0.197 (0.210) Data 0.059 (0.048) Loss 2.2284 (2.2954) Prec@1 48.438 (47.448) Prec@5 73.047 (72.853)
Epoch: [99][4500/5005] Time 0.204 (0.210) Data 0.044 (0.048) Loss 2.2296 (2.2953) Prec@1 49.219 (47.448) Prec@5 75.000 (72.855)
Epoch: [99][4510/5005] Time 0.205 (0.210) Data 0.045 (0.048) Loss 2.2239 (2.2954) Prec@1 48.828 (47.446) Prec@5 76.172 (72.855)
Epoch: [99][4520/5005] Time 0.205 (0.210) Data 0.043 (0.048) Loss 2.1032 (2.2952) Prec@1 53.906 (47.451) Prec@5 78.125 (72.860)
Epoch: [99][4530/5005] Time 0.213 (0.210) Data 0.041 (0.048) Loss 2.2027 (2.2951) Prec@1 50.000 (47.455) Prec@5 73.438 (72.861)
Epoch: [99][4540/5005] Time 0.217 (0.210) Data 0.045 (0.048) Loss 2.5387 (2.2952) Prec@1 46.875 (47.452) Prec@5 71.484 (72.859)
Epoch: [99][4550/5005] Time 0.213 (0.210) Data 0.041 (0.048) Loss 2.3082 (2.2951) Prec@1 50.000 (47.457) Prec@5 71.094 (72.858)
Epoch: [99][4560/5005] Time 0.193 (0.210) Data 0.046 (0.048) Loss 2.2575 (2.2951) Prec@1 50.000 (47.458) Prec@5 74.219 (72.858)
Epoch: [99][4570/5005] Time 0.213 (0.210) Data 0.040 (0.048) Loss 2.3149 (2.2951) Prec@1 46.875 (47.457) Prec@5 73.828 (72.859)
Epoch: [99][4580/5005] Time 0.213 (0.210) Data 0.044 (0.048) Loss 2.3860 (2.2950) Prec@1 39.844 (47.458) Prec@5 71.875 (72.859)
Epoch: [99][4590/5005] Time 0.206 (0.210) Data 0.041 (0.048) Loss 1.9994 (2.2951) Prec@1 53.906 (47.459) Prec@5 75.781 (72.858)
Epoch: [99][4600/5005] Time 0.196 (0.210) Data 0.046 (0.048) Loss 1.9786 (2.2950) Prec@1 54.688 (47.460) Prec@5 76.953 (72.857)
Epoch: [99][4610/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.1301 (2.2950) Prec@1 49.609 (47.462) Prec@5 74.609 (72.855)
Epoch: [99][4620/5005] Time 0.213 (0.210) Data 0.047 (0.048) Loss 2.1696 (2.2950) Prec@1 51.172 (47.463) Prec@5 75.781 (72.853)
Epoch: [99][4630/5005] Time 0.202 (0.210) Data 0.051 (0.048) Loss 1.9984 (2.2949) Prec@1 51.953 (47.463) Prec@5 76.953 (72.855)
Epoch: [99][4640/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.4520 (2.2950) Prec@1 50.000 (47.464) Prec@5 72.266 (72.856)
Epoch: [99][4650/5005] Time 0.204 (0.210) Data 0.047 (0.048) Loss 2.3258 (2.2949) Prec@1 48.438 (47.465) Prec@5 71.484 (72.857)
Epoch: [99][4660/5005] Time 0.202 (0.209) Data 0.049 (0.048) Loss 2.5421 (2.2950) Prec@1 41.016 (47.463) Prec@5 69.141 (72.855)
Epoch: [99][4670/5005] Time 0.194 (0.209) Data 0.051 (0.048) Loss 2.2283 (2.2949) Prec@1 50.781 (47.465) Prec@5 71.875 (72.856)
Epoch: [99][4680/5005] Time 0.213 (0.209) Data 0.049 (0.048) Loss 2.1837 (2.2948) Prec@1 47.266 (47.469) Prec@5 76.953 (72.860)
Epoch: [99][4690/5005] Time 0.203 (0.209) Data 0.049 (0.048) Loss 2.3793 (2.2948) Prec@1 40.625 (47.467) Prec@5 72.656 (72.860)
Epoch: [99][4700/5005] Time 0.211 (0.209) Data 0.042 (0.048) Loss 2.3050 (2.2948) Prec@1 48.828 (47.471) Prec@5 71.875 (72.858)
Epoch: [99][4710/5005] Time 0.208 (0.209) Data 0.066 (0.048) Loss 2.1587 (2.2946) Prec@1 49.609 (47.472) Prec@5 73.438 (72.862)
Epoch: [99][4720/5005] Time 0.210 (0.209) Data 0.048 (0.048) Loss 2.1488 (2.2946) Prec@1 48.828 (47.474) Prec@5 78.516 (72.865)
Epoch: [99][4730/5005] Time 0.208 (0.209) Data 0.044 (0.048) Loss 2.3107 (2.2947) Prec@1 42.969 (47.471) Prec@5 75.000 (72.864)
Epoch: [99][4740/5005] Time 0.196 (0.209) Data 0.045 (0.048) Loss 2.2538 (2.2946) Prec@1 44.922 (47.473) Prec@5 73.047 (72.866)
Epoch: [99][4750/5005] Time 0.205 (0.209) Data 0.043 (0.048) Loss 2.2694 (2.2945) Prec@1 46.484 (47.473) Prec@5 72.266 (72.866)
Epoch: [99][4760/5005] Time 0.197 (0.209) Data 0.056 (0.048) Loss 2.4793 (2.2944) Prec@1 39.844 (47.473) Prec@5 71.875 (72.867)
Epoch: [99][4770/5005] Time 0.212 (0.209) Data 0.041 (0.048) Loss 2.1226 (2.2943) Prec@1 47.266 (47.474) Prec@5 75.781 (72.867)
Epoch: [99][4780/5005] Time 0.207 (0.209) Data 0.047 (0.048) Loss 2.2764 (2.2943) Prec@1 49.219 (47.474) Prec@5 75.391 (72.867)
Epoch: [99][4790/5005] Time 0.210 (0.209) Data 0.044 (0.048) Loss 2.5169 (2.2944) Prec@1 44.141 (47.476) Prec@5 69.141 (72.868)
Epoch: [99][4800/5005] Time 0.201 (0.209) Data 0.048 (0.048) Loss 2.3968 (2.2943) Prec@1 44.141 (47.473) Prec@5 69.922 (72.872)
Epoch: [99][4810/5005] Time 0.207 (0.209) Data 0.046 (0.048) Loss 2.4010 (2.2941) Prec@1 46.094 (47.475) Prec@5 70.312 (72.873)
Epoch: [99][4820/5005] Time 0.217 (0.209) Data 0.043 (0.048) Loss 2.4232 (2.2941) Prec@1 44.141 (47.475) Prec@5 74.219 (72.876)
Epoch: [99][4830/5005] Time 0.206 (0.209) Data 0.045 (0.048) Loss 2.3088 (2.2938) Prec@1 47.656 (47.480) Prec@5 74.609 (72.880)
Epoch: [99][4840/5005] Time 0.204 (0.209) Data 0.042 (0.048) Loss 2.0710 (2.2938) Prec@1 53.125 (47.482) Prec@5 76.562 (72.880)
Epoch: [99][4850/5005] Time 0.195 (0.209) Data 0.061 (0.048) Loss 2.3018 (2.2940) Prec@1 46.484 (47.478) Prec@5 69.141 (72.877)
Epoch: [99][4860/5005] Time 0.204 (0.209) Data 0.053 (0.048) Loss 2.2407 (2.2940) Prec@1 48.438 (47.478) Prec@5 72.656 (72.877)
Epoch: [99][4870/5005] Time 0.202 (0.209) Data 0.051 (0.048) Loss 2.1733 (2.2939) Prec@1 48.828 (47.480) Prec@5 73.047 (72.876)
Epoch: [99][4880/5005] Time 0.203 (0.209) Data 0.048 (0.048) Loss 2.1783 (2.2938) Prec@1 51.562 (47.482) Prec@5 72.266 (72.877)
Epoch: [99][4890/5005] Time 0.207 (0.209) Data 0.045 (0.048) Loss 2.3272 (2.2938) Prec@1 48.438 (47.484) Prec@5 70.312 (72.877)
Epoch: [99][4900/5005] Time 0.212 (0.209) Data 0.041 (0.048) Loss 2.2017 (2.2938) Prec@1 48.047 (47.483) Prec@5 73.047 (72.877)
Epoch: [99][4910/5005] Time 0.213 (0.209) Data 0.040 (0.048) Loss 2.2219 (2.2936) Prec@1 47.266 (47.485) Prec@5 78.906 (72.881)
Epoch: [99][4920/5005] Time 0.210 (0.209) Data 0.045 (0.048) Loss 2.2584 (2.2936) Prec@1 46.484 (47.485) Prec@5 68.750 (72.881)
Epoch: [99][4930/5005] Time 0.209 (0.209) Data 0.042 (0.048) Loss 2.4422 (2.2935) Prec@1 46.094 (47.484) Prec@5 67.969 (72.882)
Epoch: [99][4940/5005] Time 0.228 (0.209) Data 0.047 (0.048) Loss 2.4263 (2.2937) Prec@1 45.703 (47.481) Prec@5 70.312 (72.879)
Epoch: [99][4950/5005] Time 0.192 (0.209) Data 0.058 (0.048) Loss 2.0813 (2.2937) Prec@1 48.438 (47.479) Prec@5 76.953 (72.877)
Epoch: [99][4960/5005] Time 0.214 (0.209) Data 0.048 (0.048) Loss 2.4186 (2.2937) Prec@1 47.266 (47.480) Prec@5 71.484 (72.878)
Epoch: [99][4970/5005] Time 0.221 (0.209) Data 0.042 (0.048) Loss 2.3805 (2.2936) Prec@1 41.016 (47.480) Prec@5 73.438 (72.881)
Epoch: [99][4980/5005] Time 0.202 (0.209) Data 0.042 (0.048) Loss 2.1668 (2.2935) Prec@1 48.438 (47.480) Prec@5 78.906 (72.883)
Epoch: [99][4990/5005] Time 0.207 (0.209) Data 0.029 (0.048) Loss 2.4118 (2.2934) Prec@1 42.188 (47.481) Prec@5 69.141 (72.884)
Epoch: [99][5000/5005] Time 0.206 (0.209) Data 0.021 (0.048) Loss 2.3945 (2.2934) Prec@1 44.531 (47.481) Prec@5 71.875 (72.886)
Test: [0/196] Time 1.482 (1.482) Loss 2.3683 (2.3683) Prec@1 48.438 (48.438) Prec@5 70.703 (70.703)
Test: [10/196] Time 0.049 (0.277) Loss 2.4524 (2.5466) Prec@1 46.484 (43.608) Prec@5 71.484 (69.318)
Test: [20/196] Time 0.044 (0.236) Loss 2.3927 (2.5513) Prec@1 46.875 (43.248) Prec@5 71.875 (69.178)
Test: [30/196] Time 0.395 (0.215) Loss 2.4302 (2.5482) Prec@1 44.922 (43.347) Prec@5 69.531 (69.178)
Test: [40/196] Time 0.484 (0.213) Loss 2.3005 (2.5424) Prec@1 51.562 (43.750) Prec@5 75.000 (69.426)
Test: [50/196] Time 0.042 (0.202) Loss 2.6080 (2.5446) Prec@1 44.141 (43.681) Prec@5 70.312 (69.470)
Test: [60/196] Time 0.044 (0.196) Loss 2.4407 (2.5317) Prec@1 45.703 (44.019) Prec@5 72.656 (69.582)
Test: [70/196] Time 0.044 (0.196) Loss 2.4644 (2.5241) Prec@1 47.266 (44.086) Prec@5 70.312 (69.685)
Test: [80/196] Time 0.241 (0.194) Loss 2.3738 (2.5303) Prec@1 55.078 (44.063) Prec@5 75.781 (69.652)
Test: [90/196] Time 0.046 (0.190) Loss 2.6388 (2.5320) Prec@1 46.484 (44.072) Prec@5 66.406 (69.566)
Test: [100/196] Time 0.042 (0.198) Loss 2.5194 (2.5298) Prec@1 45.312 (44.226) Prec@5 69.922 (69.558)
Test: [110/196] Time 0.042 (0.190) Loss 2.7419 (2.5311) Prec@1 40.625 (44.292) Prec@5 63.672 (69.521)
Test: [120/196] Time 0.042 (0.188) Loss 2.3640 (2.5277) Prec@1 46.094 (44.418) Prec@5 72.656 (69.580)
Test: [130/196] Time 0.044 (0.186) Loss 2.1917 (2.5235) Prec@1 49.609 (44.469) Prec@5 76.953 (69.677)
Test: [140/196] Time 0.891 (0.188) Loss 2.3779 (2.5257) Prec@1 47.266 (44.418) Prec@5 70.312 (69.628)
Test: [150/196] Time 0.045 (0.186) Loss 2.1987 (2.5244) Prec@1 47.656 (44.438) Prec@5 78.906 (69.730)
Test: [160/196] Time 0.480 (0.187) Loss 2.4478 (2.5235) Prec@1 49.609 (44.490) Prec@5 69.922 (69.728)
Test: [170/196] Time 0.112 (0.188) Loss 2.4252 (2.5263) Prec@1 45.312 (44.490) Prec@5 73.438 (69.719)
Test: [180/196] Time 0.044 (0.183) Loss 2.7151 (2.5309) Prec@1 41.016 (44.410) Prec@5 67.969 (69.637)
Test: [190/196] Time 0.308 (0.184) Loss 2.7290 (2.5339) Prec@1 42.578 (44.349) Prec@5 62.500 (69.496)
* Prec@1 44.338 Prec@5 69.510
Learning rate: 1e-07
Epoch: [100][0/5005] Time 1.102 (1.102) Data 1.013 (1.013) Loss 2.2913 (2.2913) Prec@1 47.266 (47.266) Prec@5 74.609 (74.609)
Epoch: [100][10/5005] Time 0.201 (0.292) Data 0.043 (0.136) Loss 2.1880 (2.3344) Prec@1 48.828 (45.668) Prec@5 73.438 (72.479)
Epoch: [100][20/5005] Time 0.213 (0.250) Data 0.044 (0.094) Loss 2.4831 (2.3488) Prec@1 48.828 (45.889) Prec@5 71.094 (72.154)
Epoch: [100][30/5005] Time 0.201 (0.235) Data 0.054 (0.080) Loss 2.3154 (2.3093) Prec@1 47.266 (46.573) Prec@5 70.312 (72.505)
Epoch: [100][40/5005] Time 0.201 (0.227) Data 0.046 (0.073) Loss 2.2655 (2.3157) Prec@1 46.875 (46.380) Prec@5 71.094 (72.275)
Epoch: [100][50/5005] Time 0.198 (0.222) Data 0.041 (0.068) Loss 2.2152 (2.3147) Prec@1 46.094 (46.569) Prec@5 77.734 (72.472)
Epoch: [100][60/5005] Time 0.203 (0.219) Data 0.042 (0.064) Loss 2.3615 (2.3207) Prec@1 43.750 (46.536) Prec@5 74.609 (72.432)
Epoch: [100][70/5005] Time 0.205 (0.217) Data 0.044 (0.061) Loss 2.1371 (2.3251) Prec@1 48.828 (46.495) Prec@5 73.828 (72.348)
Epoch: [100][80/5005] Time 0.204 (0.216) Data 0.045 (0.059) Loss 2.1668 (2.3195) Prec@1 49.609 (46.605) Prec@5 78.125 (72.507)
Epoch: [100][90/5005] Time 0.200 (0.214) Data 0.041 (0.057) Loss 2.2908 (2.3164) Prec@1 47.266 (46.729) Prec@5 75.781 (72.635)
Epoch: [100][100/5005] Time 0.201 (0.213) Data 0.041 (0.056) Loss 2.0460 (2.3162) Prec@1 52.734 (46.778) Prec@5 78.516 (72.594)
Epoch: [100][110/5005] Time 0.197 (0.212) Data 0.047 (0.055) Loss 2.4009 (2.3178) Prec@1 49.609 (46.984) Prec@5 68.359 (72.533)
Epoch: [100][120/5005] Time 0.193 (0.211) Data 0.046 (0.055) Loss 2.3830 (2.3187) Prec@1 43.359 (46.965) Prec@5 73.438 (72.517)
Epoch: [100][130/5005] Time 0.206 (0.210) Data 0.047 (0.054) Loss 2.4205 (2.3187) Prec@1 46.875 (46.961) Prec@5 67.969 (72.552)
Epoch: [100][140/5005] Time 0.200 (0.210) Data 0.057 (0.054) Loss 2.3000 (2.3151) Prec@1 47.266 (46.966) Prec@5 69.922 (72.581)
Epoch: [100][150/5005] Time 0.185 (0.209) Data 0.053 (0.054) Loss 2.4136 (2.3142) Prec@1 46.094 (46.989) Prec@5 69.531 (72.617)
Epoch: [100][160/5005] Time 0.217 (0.209) Data 0.049 (0.053) Loss 2.2326 (2.3151) Prec@1 44.922 (46.957) Prec@5 73.047 (72.617)
Epoch: [100][170/5005] Time 0.234 (0.209) Data 0.046 (0.053) Loss 2.3860 (2.3160) Prec@1 48.047 (46.982) Prec@5 71.484 (72.579)
Epoch: [100][180/5005] Time 0.227 (0.210) Data 0.046 (0.053) Loss 2.4948 (2.3151) Prec@1 48.438 (47.050) Prec@5 69.141 (72.559)
Epoch: [100][190/5005] Time 0.212 (0.210) Data 0.049 (0.053) Loss 2.3911 (2.3182) Prec@1 46.484 (46.928) Prec@5 70.312 (72.466)
Epoch: [100][200/5005] Time 0.221 (0.211) Data 0.046 (0.052) Loss 2.6203 (2.3213) Prec@1 44.141 (46.914) Prec@5 68.750 (72.386)
Epoch: [100][210/5005] Time 0.218 (0.211) Data 0.048 (0.052) Loss 2.0775 (2.3208) Prec@1 51.953 (46.914) Prec@5 75.391 (72.392)
Epoch: [100][220/5005] Time 0.225 (0.212) Data 0.045 (0.052) Loss 2.2776 (2.3190) Prec@1 48.438 (46.940) Prec@5 73.047 (72.421)
Epoch: [100][230/5005] Time 0.215 (0.212) Data 0.052 (0.052) Loss 2.3200 (2.3182) Prec@1 45.703 (46.960) Prec@5 70.703 (72.438)
Epoch: [100][240/5005] Time 0.226 (0.212) Data 0.047 (0.051) Loss 2.1850 (2.3163) Prec@1 51.953 (47.040) Prec@5 72.266 (72.459)
Epoch: [100][250/5005] Time 0.214 (0.213) Data 0.043 (0.051) Loss 2.3396 (2.3131) Prec@1 48.047 (47.132) Prec@5 71.094 (72.515)
Epoch: [100][260/5005] Time 0.220 (0.213) Data 0.048 (0.051) Loss 2.1868 (2.3121) Prec@1 48.438 (47.138) Prec@5 72.656 (72.528)
Epoch: [100][270/5005] Time 0.218 (0.213) Data 0.044 (0.051) Loss 2.3475 (2.3122) Prec@1 45.703 (47.084) Prec@5 69.922 (72.541)
Epoch: [100][280/5005] Time 0.219 (0.213) Data 0.042 (0.051) Loss 2.8336 (2.3155) Prec@1 37.109 (47.018) Prec@5 67.188 (72.487)
Epoch: [100][290/5005] Time 0.226 (0.213) Data 0.044 (0.050) Loss 2.2206 (2.3164) Prec@1 51.953 (47.003) Prec@5 70.312 (72.447)
Epoch: [100][300/5005] Time 0.218 (0.214) Data 0.052 (0.050) Loss 2.1184 (2.3150) Prec@1 46.875 (47.013) Prec@5 78.125 (72.481)
Epoch: [100][310/5005] Time 0.210 (0.213) Data 0.048 (0.050) Loss 2.0803 (2.3121) Prec@1 48.047 (47.071) Prec@5 76.953 (72.519)
Epoch: [100][320/5005] Time 0.218 (0.213) Data 0.047 (0.050) Loss 2.5507 (2.3131) Prec@1 42.188 (47.109) Prec@5 66.406 (72.509)
Epoch: [100][330/5005] Time 0.216 (0.214) Data 0.042 (0.050) Loss 2.0964 (2.3120) Prec@1 50.000 (47.125) Prec@5 75.781 (72.537)
Epoch: [100][340/5005] Time 0.219 (0.214) Data 0.042 (0.050) Loss 2.5469 (2.3155) Prec@1 43.750 (47.075) Prec@5 66.797 (72.482)
Epoch: [100][350/5005] Time 0.212 (0.214) Data 0.039 (0.050) Loss 2.4065 (2.3152) Prec@1 46.484 (47.072) Prec@5 70.312 (72.503)
Epoch: [100][360/5005] Time 0.216 (0.213) Data 0.049 (0.050) Loss 2.3024 (2.3151) Prec@1 47.266 (47.088) Prec@5 70.703 (72.478)
Epoch: [100][370/5005] Time 0.220 (0.214) Data 0.043 (0.050) Loss 2.3799 (2.3134) Prec@1 45.703 (47.122) Prec@5 69.141 (72.495)
Epoch: [100][380/5005] Time 0.213 (0.214) Data 0.044 (0.049) Loss 2.5618 (2.3147) Prec@1 46.094 (47.088) Prec@5 66.406 (72.470)
Epoch: [100][390/5005] Time 0.214 (0.214) Data 0.041 (0.049) Loss 2.3530 (2.3144) Prec@1 50.000 (47.108) Prec@5 71.875 (72.479)
Epoch: [100][400/5005] Time 0.216 (0.214) Data 0.059 (0.049) Loss 2.2033 (2.3134) Prec@1 48.828 (47.143) Prec@5 75.000 (72.500)
Epoch: [100][410/5005] Time 0.213 (0.214) Data 0.042 (0.049) Loss 2.1386 (2.3136) Prec@1 50.000 (47.159) Prec@5 75.000 (72.508)
Epoch: [100][420/5005] Time 0.219 (0.214) Data 0.043 (0.049) Loss 2.4078 (2.3128) Prec@1 46.875 (47.190) Prec@5 73.828 (72.533)
Epoch: [100][430/5005] Time 0.211 (0.214) Data 0.043 (0.049) Loss 2.1856 (2.3116) Prec@1 51.562 (47.209) Prec@5 78.906 (72.562)
Epoch: [100][440/5005] Time 0.217 (0.214) Data 0.043 (0.049) Loss 2.2986 (2.3112) Prec@1 46.094 (47.195) Prec@5 76.562 (72.593)
Epoch: [100][450/5005] Time 0.215 (0.214) Data 0.043 (0.049) Loss 2.0737 (2.3123) Prec@1 47.266 (47.132) Prec@5 77.734 (72.573)
Epoch: [100][460/5005] Time 0.215 (0.214) Data 0.042 (0.049) Loss 2.2981 (2.3141) Prec@1 50.000 (47.085) Prec@5 69.141 (72.547)
Epoch: [100][470/5005] Time 0.217 (0.214) Data 0.058 (0.049) Loss 2.2559 (2.3147) Prec@1 46.875 (47.090) Prec@5 74.219 (72.537)
Epoch: [100][480/5005] Time 0.216 (0.214) Data 0.052 (0.049) Loss 2.2965 (2.3152) Prec@1 49.609 (47.100) Prec@5 72.266 (72.529)
Epoch: [100][490/5005] Time 0.207 (0.214) Data 0.054 (0.049) Loss 2.3022 (2.3151) Prec@1 50.391 (47.107) Prec@5 72.266 (72.538)
Epoch: [100][500/5005] Time 0.211 (0.214) Data 0.060 (0.049) Loss 2.4600 (2.3167) Prec@1 46.094 (47.078) Prec@5 70.312 (72.515)
Epoch: [100][510/5005] Time 0.213 (0.214) Data 0.049 (0.049) Loss 2.6511 (2.3169) Prec@1 42.969 (47.091) Prec@5 65.625 (72.500)
Epoch: [100][520/5005] Time 0.214 (0.214) Data 0.042 (0.049) Loss 2.2959 (2.3161) Prec@1 42.969 (47.104) Prec@5 76.562 (72.523)
Epoch: [100][530/5005] Time 0.208 (0.214) Data 0.051 (0.049) Loss 2.2333 (2.3161) Prec@1 46.094 (47.097) Prec@5 71.094 (72.522)
Epoch: [100][540/5005] Time 0.217 (0.214) Data 0.051 (0.049) Loss 2.5052 (2.3159) Prec@1 44.531 (47.107) Prec@5 70.703 (72.533)
Epoch: [100][550/5005] Time 0.212 (0.214) Data 0.064 (0.049) Loss 2.1353 (2.3152) Prec@1 52.734 (47.118) Prec@5 77.734 (72.548)
Epoch: [100][560/5005] Time 0.212 (0.214) Data 0.050 (0.049) Loss 2.4758 (2.3154) Prec@1 45.312 (47.121) Prec@5 71.875 (72.553)
Epoch: [100][570/5005] Time 0.206 (0.214) Data 0.043 (0.049) Loss 2.5211 (2.3164) Prec@1 43.750 (47.090) Prec@5 67.578 (72.543)
Epoch: [100][580/5005] Time 0.217 (0.214) Data 0.044 (0.049) Loss 2.3225 (2.3155) Prec@1 45.312 (47.100) Prec@5 74.609 (72.544)
Epoch: [100][590/5005] Time 0.211 (0.214) Data 0.049 (0.049) Loss 2.4981 (2.3155) Prec@1 46.094 (47.112) Prec@5 69.531 (72.539)
Epoch: [100][600/5005] Time 0.210 (0.214) Data 0.051 (0.049) Loss 2.1850 (2.3162) Prec@1 50.000 (47.104) Prec@5 74.609 (72.528)
Epoch: [100][610/5005] Time 0.210 (0.214) Data 0.045 (0.049) Loss 2.2138 (2.3163) Prec@1 46.875 (47.106) Prec@5 76.953 (72.525)
Epoch: [100][620/5005] Time 0.216 (0.214) Data 0.058 (0.049) Loss 2.2273 (2.3161) Prec@1 49.609 (47.113) Prec@5 71.875 (72.528)
Epoch: [100][630/5005] Time 0.213 (0.214) Data 0.048 (0.049) Loss 2.5446 (2.3161) Prec@1 46.484 (47.129) Prec@5 68.359 (72.531)
Epoch: [100][640/5005] Time 0.215 (0.214) Data 0.042 (0.049) Loss 2.1914 (2.3162) Prec@1 43.750 (47.106) Prec@5 72.266 (72.535)
Epoch: [100][650/5005] Time 0.220 (0.214) Data 0.045 (0.049) Loss 2.3519 (2.3170) Prec@1 44.922 (47.102) Prec@5 72.656 (72.531)
Epoch: [100][660/5005] Time 0.208 (0.214) Data 0.043 (0.049) Loss 2.3885 (2.3164) Prec@1 48.438 (47.127) Prec@5 73.828 (72.548)
Epoch: [100][670/5005] Time 0.216 (0.214) Data 0.042 (0.049) Loss 2.5371 (2.3162) Prec@1 43.359 (47.140) Prec@5 68.359 (72.546)
Epoch: [100][680/5005] Time 0.218 (0.214) Data 0.046 (0.049) Loss 2.3637 (2.3161) Prec@1 45.312 (47.147) Prec@5 72.266 (72.549)
Epoch: [100][690/5005] Time 0.213 (0.214) Data 0.042 (0.049) Loss 2.2316 (2.3155) Prec@1 50.000 (47.173) Prec@5 76.172 (72.554)
Epoch: [100][700/5005] Time 0.211 (0.214) Data 0.042 (0.049) Loss 2.4061 (2.3150) Prec@1 50.391 (47.185) Prec@5 69.922 (72.560)
Epoch: [100][710/5005] Time 0.215 (0.214) Data 0.043 (0.049) Loss 2.0635 (2.3140) Prec@1 47.266 (47.193) Prec@5 77.344 (72.577)
Epoch: [100][720/5005] Time 0.216 (0.214) Data 0.043 (0.049) Loss 2.1950 (2.3129) Prec@1 47.656 (47.198) Prec@5 75.781 (72.598)
Epoch: [100][730/5005] Time 0.214 (0.214) Data 0.043 (0.049) Loss 2.4650 (2.3132) Prec@1 49.219 (47.197) Prec@5 69.141 (72.591)
Epoch: [100][740/5005] Time 0.215 (0.214) Data 0.043 (0.049) Loss 2.4667 (2.3136) Prec@1 43.750 (47.194) Prec@5 67.969 (72.567)
Epoch: [100][750/5005] Time 0.219 (0.214) Data 0.047 (0.048) Loss 2.1865 (2.3135) Prec@1 49.219 (47.184) Prec@5 75.391 (72.581)
Epoch: [100][760/5005] Time 0.218 (0.214) Data 0.041 (0.048) Loss 2.3563 (2.3134) Prec@1 43.750 (47.180) Prec@5 73.438 (72.585)
Epoch: [100][770/5005] Time 0.212 (0.214) Data 0.058 (0.048) Loss 2.3965 (2.3125) Prec@1 44.531 (47.207) Prec@5 69.531 (72.597)
Epoch: [100][780/5005] Time 0.218 (0.214) Data 0.065 (0.048) Loss 2.3285 (2.3119) Prec@1 48.438 (47.224) Prec@5 70.703 (72.591)
Epoch: [100][790/5005] Time 0.210 (0.214) Data 0.056 (0.048) Loss 2.3132 (2.3117) Prec@1 46.875 (47.239) Prec@5 72.656 (72.595)
Epoch: [100][800/5005] Time 0.222 (0.214) Data 0.043 (0.049) Loss 2.1652 (2.3113) Prec@1 49.219 (47.252) Prec@5 76.953 (72.602)
Epoch: [100][810/5005] Time 0.209 (0.214) Data 0.066 (0.049) Loss 2.2620 (2.3112) Prec@1 50.781 (47.253) Prec@5 70.703 (72.606)
Epoch: [100][820/5005] Time 0.211 (0.214) Data 0.046 (0.049) Loss 2.3870 (2.3115) Prec@1 45.703 (47.256) Prec@5 70.703 (72.601)
Epoch: [100][830/5005] Time 0.220 (0.214) Data 0.048 (0.049) Loss 2.2544 (2.3113) Prec@1 46.484 (47.254) Prec@5 73.828 (72.604)
Epoch: [100][840/5005] Time 0.211 (0.214) Data 0.046 (0.049) Loss 2.2805 (2.3112) Prec@1 48.438 (47.248) Prec@5 69.141 (72.612)
Epoch: [100][850/5005] Time 0.209 (0.214) Data 0.043 (0.049) Loss 2.4455 (2.3108) Prec@1 47.266 (47.245) Prec@5 70.312 (72.613)
Epoch: [100][860/5005] Time 0.207 (0.214) Data 0.043 (0.049) Loss 2.3945 (2.3107) Prec@1 44.922 (47.244) Prec@5 70.703 (72.600)
Epoch: [100][870/5005] Time 0.208 (0.214) Data 0.040 (0.048) Loss 2.3439 (2.3098) Prec@1 43.750 (47.262) Prec@5 71.875 (72.623)
Epoch: [100][880/5005] Time 0.212 (0.214) Data 0.046 (0.048) Loss 2.2140 (2.3101) Prec@1 50.391 (47.255) Prec@5 75.391 (72.620)
Epoch: [100][890/5005] Time 0.204 (0.214) Data 0.042 (0.048) Loss 2.5570 (2.3094) Prec@1 44.141 (47.259) Prec@5 65.625 (72.637)
Epoch: [100][900/5005] Time 0.211 (0.214) Data 0.044 (0.048) Loss 2.2293 (2.3090) Prec@1 47.656 (47.259) Prec@5 75.391 (72.644)
Epoch: [100][910/5005] Time 0.215 (0.214) Data 0.042 (0.048) Loss 2.1680 (2.3089) Prec@1 48.047 (47.259) Prec@5 73.828 (72.649)
Epoch: [100][920/5005] Time 0.211 (0.214) Data 0.044 (0.048) Loss 2.3565 (2.3088) Prec@1 46.875 (47.261) Prec@5 69.141 (72.655)
Epoch: [100][930/5005] Time 0.210 (0.214) Data 0.042 (0.048) Loss 2.3496 (2.3084) Prec@1 47.656 (47.272) Prec@5 69.531 (72.645)
Epoch: [100][940/5005] Time 0.207 (0.214) Data 0.044 (0.048) Loss 2.1825 (2.3084) Prec@1 49.609 (47.268) Prec@5 72.656 (72.637)
Epoch: [100][950/5005] Time 0.202 (0.214) Data 0.049 (0.048) Loss 2.3805 (2.3089) Prec@1 46.875 (47.263) Prec@5 71.875 (72.641)
Epoch: [100][960/5005] Time 0.215 (0.214) Data 0.044 (0.048) Loss 2.4752 (2.3090) Prec@1 48.047 (47.265) Prec@5 70.312 (72.643)
Epoch: [100][970/5005] Time 0.210 (0.214) Data 0.044 (0.048) Loss 2.0898 (2.3088) Prec@1 50.781 (47.265) Prec@5 77.344 (72.647)
Epoch: [100][980/5005] Time 0.216 (0.214) Data 0.045 (0.048) Loss 2.2475 (2.3081) Prec@1 51.172 (47.272) Prec@5 69.531 (72.659)
Epoch: [100][990/5005] Time 0.208 (0.213) Data 0.040 (0.048) Loss 2.3428 (2.3086) Prec@1 47.266 (47.264) Prec@5 73.828 (72.648)
Epoch: [100][1000/5005] Time 0.211 (0.213) Data 0.047 (0.048) Loss 2.2813 (2.3086) Prec@1 50.000 (47.277) Prec@5 73.828 (72.657)
Epoch: [100][1010/5005] Time 0.209 (0.213) Data 0.052 (0.048) Loss 2.3466 (2.3081) Prec@1 45.703 (47.287) Prec@5 72.656 (72.664)
Epoch: [100][1020/5005] Time 0.200 (0.213) Data 0.053 (0.048) Loss 2.1077 (2.3086) Prec@1 55.859 (47.279) Prec@5 75.391 (72.645)
Epoch: [100][1030/5005] Time 0.208 (0.213) Data 0.063 (0.048) Loss 2.1807 (2.3079) Prec@1 48.047 (47.291) Prec@5 76.953 (72.657)
Epoch: [100][1040/5005] Time 0.220 (0.214) Data 0.046 (0.048) Loss 2.4032 (2.3078) Prec@1 41.016 (47.297) Prec@5 71.094 (72.654)
Epoch: [100][1050/5005] Time 0.214 (0.213) Data 0.040 (0.048) Loss 2.4312 (2.3078) Prec@1 46.094 (47.287) Prec@5 70.703 (72.650)
Epoch: [100][1060/5005] Time 0.197 (0.213) Data 0.047 (0.048) Loss 2.3555 (2.3075) Prec@1 50.000 (47.297) Prec@5 73.828 (72.658)
Epoch: [100][1070/5005] Time 0.208 (0.213) Data 0.058 (0.048) Loss 2.1947 (2.3072) Prec@1 46.875 (47.301) Prec@5 75.391 (72.661)
Epoch: [100][1080/5005] Time 0.207 (0.213) Data 0.058 (0.048) Loss 2.3226 (2.3073) Prec@1 44.922 (47.296) Prec@5 74.219 (72.670)
Epoch: [100][1090/5005] Time 0.210 (0.213) Data 0.060 (0.048) Loss 2.3396 (2.3071) Prec@1 45.703 (47.300) Prec@5 70.312 (72.678)
Epoch: [100][1100/5005] Time 0.207 (0.213) Data 0.063 (0.048) Loss 2.3221 (2.3069) Prec@1 47.656 (47.294) Prec@5 74.219 (72.677)
Epoch: [100][1110/5005] Time 0.208 (0.213) Data 0.042 (0.048) Loss 2.2556 (2.3069) Prec@1 44.922 (47.290) Prec@5 75.391 (72.677)
Epoch: [100][1120/5005] Time 0.219 (0.213) Data 0.044 (0.048) Loss 2.2522 (2.3065) Prec@1 49.219 (47.295) Prec@5 71.875 (72.679)
Epoch: [100][1130/5005] Time 0.217 (0.213) Data 0.043 (0.048) Loss 2.3297 (2.3067) Prec@1 43.359 (47.296) Prec@5 74.609 (72.680)
Epoch: [100][1140/5005] Time 0.214 (0.213) Data 0.043 (0.048) Loss 2.2863 (2.3061) Prec@1 49.609 (47.308) Prec@5 76.562 (72.699)
Epoch: [100][1150/5005] Time 0.210 (0.213) Data 0.043 (0.048) Loss 2.2497 (2.3059) Prec@1 45.312 (47.307) Prec@5 73.047 (72.696)
Epoch: [100][1160/5005] Time 0.210 (0.213) Data 0.043 (0.048) Loss 2.3005 (2.3060) Prec@1 47.656 (47.293) Prec@5 74.219 (72.698)
Epoch: [100][1170/5005] Time 0.215 (0.213) Data 0.041 (0.048) Loss 2.2061 (2.3059) Prec@1 46.094 (47.291) Prec@5 74.219 (72.694)
Epoch: [100][1180/5005] Time 0.205 (0.213) Data 0.040 (0.048) Loss 2.3304 (2.3059) Prec@1 48.438 (47.278) Prec@5 69.922 (72.698)
Epoch: [100][1190/5005] Time 0.216 (0.213) Data 0.043 (0.048) Loss 2.1238 (2.3053) Prec@1 50.000 (47.288) Prec@5 75.781 (72.712)
Epoch: [100][1200/5005] Time 0.209 (0.213) Data 0.043 (0.048) Loss 2.3394 (2.3054) Prec@1 48.047 (47.286) Prec@5 73.047 (72.704)
Epoch: [100][1210/5005] Time 0.212 (0.213) Data 0.041 (0.048) Loss 2.3432 (2.3062) Prec@1 42.188 (47.265) Prec@5 72.656 (72.696)
Epoch: [100][1220/5005] Time 0.202 (0.213) Data 0.059 (0.048) Loss 2.4469 (2.3067) Prec@1 45.703 (47.257) Prec@5 71.875 (72.682)
Epoch: [100][1230/5005] Time 0.211 (0.213) Data 0.044 (0.048) Loss 2.3449 (2.3064) Prec@1 48.047 (47.262) Prec@5 73.828 (72.686)
Epoch: [100][1240/5005] Time 0.205 (0.213) Data 0.057 (0.048) Loss 2.1725 (2.3065) Prec@1 48.047 (47.262) Prec@5 73.828 (72.686)
Epoch: [100][1250/5005] Time 0.196 (0.213) Data 0.041 (0.048) Loss 2.5220 (2.3069) Prec@1 39.844 (47.250) Prec@5 68.359 (72.680)
Epoch: [100][1260/5005] Time 0.214 (0.213) Data 0.041 (0.048) Loss 2.0251 (2.3061) Prec@1 49.219 (47.252) Prec@5 78.906 (72.702)
Epoch: [100][1270/5005] Time 0.215 (0.213) Data 0.044 (0.048) Loss 2.4018 (2.3066) Prec@1 49.609 (47.243) Prec@5 71.484 (72.692)
Epoch: [100][1280/5005] Time 0.211 (0.213) Data 0.043 (0.048) Loss 2.3104 (2.3069) Prec@1 44.922 (47.237) Prec@5 73.438 (72.687)
Epoch: [100][1290/5005] Time 0.219 (0.213) Data 0.043 (0.048) Loss 2.1834 (2.3065) Prec@1 53.125 (47.246) Prec@5 71.875 (72.691)
Epoch: [100][1300/5005] Time 0.208 (0.213) Data 0.045 (0.048) Loss 2.2434 (2.3066) Prec@1 49.609 (47.252) Prec@5 73.047 (72.691)
Epoch: [100][1310/5005] Time 0.208 (0.213) Data 0.047 (0.048) Loss 2.3691 (2.3063) Prec@1 46.484 (47.253) Prec@5 71.484 (72.702)
Epoch: [100][1320/5005] Time 0.211 (0.213) Data 0.045 (0.048) Loss 2.4338 (2.3064) Prec@1 43.359 (47.252) Prec@5 70.312 (72.697)
Epoch: [100][1330/5005] Time 0.205 (0.213) Data 0.046 (0.048) Loss 2.4367 (2.3066) Prec@1 44.922 (47.256) Prec@5 68.359 (72.694)
Epoch: [100][1340/5005] Time 0.206 (0.213) Data 0.045 (0.048) Loss 2.2837 (2.3063) Prec@1 45.703 (47.263) Prec@5 71.094 (72.700)
Epoch: [100][1350/5005] Time 0.210 (0.213) Data 0.050 (0.048) Loss 2.6318 (2.3065) Prec@1 42.969 (47.254) Prec@5 68.359 (72.697)
Epoch: [100][1360/5005] Time 0.213 (0.213) Data 0.044 (0.048) Loss 2.2523 (2.3063) Prec@1 48.828 (47.262) Prec@5 72.266 (72.702)
Epoch: [100][1370/5005] Time 0.213 (0.213) Data 0.052 (0.048) Loss 2.3898 (2.3056) Prec@1 46.484 (47.272) Prec@5 71.094 (72.716)
Epoch: [100][1380/5005] Time 0.204 (0.213) Data 0.043 (0.048) Loss 2.2329 (2.3053) Prec@1 48.047 (47.284) Prec@5 74.219 (72.724)
Epoch: [100][1390/5005] Time 0.216 (0.213) Data 0.043 (0.048) Loss 2.1974 (2.3053) Prec@1 46.484 (47.286) Prec@5 76.172 (72.719)
Epoch: [100][1400/5005] Time 0.211 (0.213) Data 0.044 (0.048) Loss 2.2054 (2.3045) Prec@1 51.562 (47.301) Prec@5 72.656 (72.724)
Epoch: [100][1410/5005] Time 0.207 (0.213) Data 0.043 (0.048) Loss 2.3111 (2.3044) Prec@1 48.047 (47.299) Prec@5 70.703 (72.725)
Epoch: [100][1420/5005] Time 0.201 (0.213) Data 0.043 (0.048) Loss 2.5632 (2.3046) Prec@1 42.969 (47.296) Prec@5 69.531 (72.720)
Epoch: [100][1430/5005] Time 0.206 (0.213) Data 0.045 (0.048) Loss 2.0517 (2.3041) Prec@1 51.953 (47.316) Prec@5 74.609 (72.730)
Epoch: [100][1440/5005] Time 0.208 (0.213) Data 0.043 (0.048) Loss 2.0103 (2.3036) Prec@1 53.906 (47.318) Prec@5 78.906 (72.738)
Epoch: [100][1450/5005] Time 0.210 (0.213) Data 0.045 (0.048) Loss 2.2676 (2.3037) Prec@1 46.484 (47.320) Prec@5 75.000 (72.734)
Epoch: [100][1460/5005] Time 0.202 (0.213) Data 0.060 (0.048) Loss 2.3397 (2.3033) Prec@1 44.141 (47.320) Prec@5 72.266 (72.742)
Epoch: [100][1470/5005] Time 0.198 (0.213) Data 0.056 (0.048) Loss 2.2124 (2.3036) Prec@1 50.391 (47.322) Prec@5 72.266 (72.731)
Epoch: [100][1480/5005] Time 0.195 (0.212) Data 0.045 (0.048) Loss 2.1137 (2.3036) Prec@1 49.609 (47.318) Prec@5 78.906 (72.733)
Epoch: [100][1490/5005] Time 0.198 (0.212) Data 0.043 (0.048) Loss 2.6504 (2.3033) Prec@1 44.141 (47.330) Prec@5 68.359 (72.744)
Epoch: [100][1500/5005] Time 0.210 (0.212) Data 0.039 (0.048) Loss 2.4052 (2.3034) Prec@1 44.531 (47.329) Prec@5 71.875 (72.749)
Epoch: [100][1510/5005] Time 0.220 (0.212) Data 0.042 (0.048) Loss 2.0787 (2.3034) Prec@1 50.781 (47.328) Prec@5 75.391 (72.746)
Epoch: [100][1520/5005] Time 0.212 (0.212) Data 0.045 (0.048) Loss 2.4172 (2.3030) Prec@1 43.359 (47.335) Prec@5 71.094 (72.751)
Epoch: [100][1530/5005] Time 0.206 (0.212) Data 0.043 (0.048) Loss 2.2903 (2.3030) Prec@1 46.875 (47.336) Prec@5 72.656 (72.749)
Epoch: [100][1540/5005] Time 0.221 (0.212) Data 0.046 (0.048) Loss 2.2561 (2.3033) Prec@1 46.484 (47.329) Prec@5 70.312 (72.737)
Epoch: [100][1550/5005] Time 0.212 (0.212) Data 0.043 (0.048) Loss 2.1735 (2.3029) Prec@1 50.000 (47.329) Prec@5 75.000 (72.740)
Epoch: [100][1560/5005] Time 0.213 (0.212) Data 0.046 (0.048) Loss 2.1528 (2.3030) Prec@1 49.609 (47.332) Prec@5 73.438 (72.744)
Epoch: [100][1570/5005] Time 0.208 (0.212) Data 0.044 (0.048) Loss 2.1100 (2.3024) Prec@1 50.000 (47.342) Prec@5 76.953 (72.754)
Epoch: [100][1580/5005] Time 0.209 (0.212) Data 0.044 (0.048) Loss 2.1720 (2.3025) Prec@1 49.219 (47.339) Prec@5 75.000 (72.753)
Epoch: [100][1590/5005] Time 0.211 (0.212) Data 0.044 (0.048) Loss 2.2175 (2.3026) Prec@1 51.172 (47.337) Prec@5 73.047 (72.755)
Epoch: [100][1600/5005] Time 0.213 (0.212) Data 0.042 (0.047) Loss 2.2842 (2.3024) Prec@1 50.000 (47.341) Prec@5 70.703 (72.752)
Epoch: [100][1610/5005] Time 0.212 (0.212) Data 0.042 (0.047) Loss 2.3939 (2.3024) Prec@1 47.656 (47.345) Prec@5 73.438 (72.752)
Epoch: [100][1620/5005] Time 0.209 (0.212) Data 0.044 (0.047) Loss 2.2771 (2.3019) Prec@1 46.484 (47.347) Prec@5 76.562 (72.768)
Epoch: [100][1630/5005] Time 0.205 (0.212) Data 0.059 (0.047) Loss 2.1849 (2.3017) Prec@1 49.609 (47.352) Prec@5 73.438 (72.768)
Epoch: [100][1640/5005] Time 0.211 (0.212) Data 0.044 (0.047) Loss 2.3168 (2.3019) Prec@1 49.219 (47.352) Prec@5 73.047 (72.761)
Epoch: [100][1650/5005] Time 0.203 (0.212) Data 0.048 (0.047) Loss 2.3725 (2.3018) Prec@1 43.750 (47.350) Prec@5 70.703 (72.762)
Epoch: [100][1660/5005] Time 0.211 (0.212) Data 0.044 (0.047) Loss 2.2122 (2.3014) Prec@1 50.000 (47.359) Prec@5 75.000 (72.770)
Epoch: [100][1670/5005] Time 0.203 (0.212) Data 0.058 (0.047) Loss 2.1059 (2.3014) Prec@1 51.562 (47.365) Prec@5 75.781 (72.774)
Epoch: [100][1680/5005] Time 0.216 (0.212) Data 0.043 (0.047) Loss 2.4782 (2.3018) Prec@1 46.094 (47.361) Prec@5 68.359 (72.768)
Epoch: [100][1690/5005] Time 0.215 (0.212) Data 0.046 (0.047) Loss 2.2207 (2.3016) Prec@1 45.312 (47.353) Prec@5 72.656 (72.773)
Epoch: [100][1700/5005] Time 0.208 (0.212) Data 0.066 (0.047) Loss 2.2791 (2.3010) Prec@1 48.438 (47.363) Prec@5 72.656 (72.783)
Epoch: [100][1710/5005] Time 0.193 (0.212) Data 0.049 (0.047) Loss 2.2232 (2.3005) Prec@1 48.047 (47.367) Prec@5 74.609 (72.784)
Epoch: [100][1720/5005] Time 0.207 (0.212) Data 0.042 (0.047) Loss 2.3931 (2.3005) Prec@1 46.484 (47.366) Prec@5 71.094 (72.786)
Epoch: [100][1730/5005] Time 0.215 (0.212) Data 0.044 (0.047) Loss 2.2333 (2.3005) Prec@1 46.094 (47.364) Prec@5 73.047 (72.788)
Epoch: [100][1740/5005] Time 0.210 (0.212) Data 0.049 (0.047) Loss 2.4970 (2.3000) Prec@1 43.359 (47.371) Prec@5 70.703 (72.796)
Epoch: [100][1750/5005] Time 0.213 (0.212) Data 0.041 (0.047) Loss 2.2319 (2.2996) Prec@1 47.266 (47.373) Prec@5 73.438 (72.803)
Epoch: [100][1760/5005] Time 0.207 (0.212) Data 0.043 (0.047) Loss 2.0488 (2.2994) Prec@1 52.344 (47.379) Prec@5 77.734 (72.807)
Epoch: [100][1770/5005] Time 0.209 (0.212) Data 0.045 (0.047) Loss 2.4065 (2.2993) Prec@1 43.750 (47.373) Prec@5 72.266 (72.817)
Epoch: [100][1780/5005] Time 0.209 (0.212) Data 0.046 (0.047) Loss 2.2406 (2.2992) Prec@1 46.875 (47.374) Prec@5 72.266 (72.822)
Epoch: [100][1790/5005] Time 0.215 (0.212) Data 0.043 (0.047) Loss 2.2854 (2.2989) Prec@1 47.656 (47.376) Prec@5 73.047 (72.825)
Epoch: [100][1800/5005] Time 0.210 (0.212) Data 0.048 (0.047) Loss 2.1274 (2.2986) Prec@1 51.172 (47.384) Prec@5 76.562 (72.830)
Epoch: [100][1810/5005] Time 0.207 (0.212) Data 0.048 (0.047) Loss 2.1444 (2.2983) Prec@1 52.344 (47.387) Prec@5 75.781 (72.834)
Epoch: [100][1820/5005] Time 0.198 (0.212) Data 0.055 (0.047) Loss 2.3357 (2.2982) Prec@1 47.266 (47.393) Prec@5 73.047 (72.835)
Epoch: [100][1830/5005] Time 0.213 (0.212) Data 0.046 (0.047) Loss 2.0409 (2.2978) Prec@1 55.859 (47.401) Prec@5 76.562 (72.845)
Epoch: [100][1840/5005] Time 0.206 (0.212) Data 0.049 (0.047) Loss 2.4408 (2.2979) Prec@1 44.141 (47.401) Prec@5 70.312 (72.842)
Epoch: [100][1850/5005] Time 0.211 (0.212) Data 0.048 (0.047) Loss 2.2523 (2.2976) Prec@1 48.438 (47.409) Prec@5 75.781 (72.843)
Epoch: [100][1860/5005] Time 0.198 (0.212) Data 0.054 (0.048) Loss 2.3434 (2.2976) Prec@1 49.219 (47.409) Prec@5 70.312 (72.843)
Epoch: [100][1870/5005] Time 0.203 (0.212) Data 0.046 (0.048) Loss 2.4613 (2.2979) Prec@1 42.969 (47.406) Prec@5 70.312 (72.837)
Epoch: [100][1880/5005] Time 0.207 (0.212) Data 0.044 (0.048) Loss 2.3314 (2.2979) Prec@1 46.484 (47.410) Prec@5 71.875 (72.838)
Epoch: [100][1890/5005] Time 0.217 (0.212) Data 0.049 (0.048) Loss 2.2981 (2.2977) Prec@1 48.438 (47.416) Prec@5 73.438 (72.837)
Epoch: [100][1900/5005] Time 0.207 (0.212) Data 0.049 (0.048) Loss 2.3918 (2.2983) Prec@1 44.141 (47.401) Prec@5 73.828 (72.830)
Epoch: [100][1910/5005] Time 0.206 (0.212) Data 0.048 (0.048) Loss 2.1805 (2.2982) Prec@1 51.953 (47.401) Prec@5 74.609 (72.829)
Epoch: [100][1920/5005] Time 0.209 (0.212) Data 0.042 (0.048) Loss 2.2181 (2.2979) Prec@1 46.484 (47.397) Prec@5 73.828 (72.836)
Epoch: [100][1930/5005] Time 0.209 (0.212) Data 0.040 (0.048) Loss 2.1540 (2.2975) Prec@1 51.172 (47.406) Prec@5 73.828 (72.842)
Epoch: [100][1940/5005] Time 0.211 (0.212) Data 0.043 (0.048) Loss 2.0442 (2.2971) Prec@1 49.609 (47.408) Prec@5 75.781 (72.850)
Epoch: [100][1950/5005] Time 0.210 (0.212) Data 0.045 (0.048) Loss 2.3335 (2.2970) Prec@1 47.266 (47.410) Prec@5 71.094 (72.850)
Epoch: [100][1960/5005] Time 0.207 (0.212) Data 0.056 (0.048) Loss 2.2002 (2.2968) Prec@1 49.609 (47.420) Prec@5 73.047 (72.854)
Epoch: [100][1970/5005] Time 0.202 (0.212) Data 0.045 (0.048) Loss 2.2531 (2.2968) Prec@1 44.531 (47.409) Prec@5 73.047 (72.852)
Epoch: [100][1980/5005] Time 0.198 (0.212) Data 0.049 (0.048) Loss 2.0845 (2.2968) Prec@1 50.000 (47.414) Prec@5 73.828 (72.852)
Epoch: [100][1990/5005] Time 0.193 (0.212) Data 0.044 (0.048) Loss 2.0772 (2.2966) Prec@1 50.781 (47.419) Prec@5 75.781 (72.853)
Epoch: [100][2000/5005] Time 0.208 (0.212) Data 0.041 (0.048) Loss 2.1458 (2.2968) Prec@1 48.438 (47.419) Prec@5 76.172 (72.851)
Epoch: [100][2010/5005] Time 0.213 (0.212) Data 0.048 (0.048) Loss 2.3313 (2.2969) Prec@1 44.922 (47.416) Prec@5 71.875 (72.847)
Epoch: [100][2020/5005] Time 0.209 (0.212) Data 0.045 (0.048) Loss 2.2601 (2.2970) Prec@1 49.609 (47.415) Prec@5 74.219 (72.843)
Epoch: [100][2030/5005] Time 0.211 (0.212) Data 0.046 (0.047) Loss 2.2473 (2.2970) Prec@1 50.391 (47.419) Prec@5 71.875 (72.837)
Epoch: [100][2040/5005] Time 0.213 (0.212) Data 0.046 (0.047) Loss 2.0354 (2.2969) Prec@1 55.469 (47.422) Prec@5 78.125 (72.840)
Epoch: [100][2050/5005] Time 0.207 (0.212) Data 0.045 (0.047) Loss 2.3866 (2.2966) Prec@1 46.484 (47.427) Prec@5 73.828 (72.843)
Epoch: [100][2060/5005] Time 0.211 (0.212) Data 0.052 (0.047) Loss 2.2451 (2.2966) Prec@1 48.438 (47.422) Prec@5 71.484 (72.841)
Epoch: [100][2070/5005] Time 0.205 (0.212) Data 0.045 (0.047) Loss 2.4186 (2.2969) Prec@1 44.922 (47.416) Prec@5 71.094 (72.834)
Epoch: [100][2080/5005] Time 0.213 (0.211) Data 0.046 (0.047) Loss 2.3369 (2.2970) Prec@1 48.828 (47.411) Prec@5 73.047 (72.831)
Epoch: [100][2090/5005] Time 0.219 (0.211) Data 0.043 (0.047) Loss 2.1470 (2.2965) Prec@1 52.734 (47.419) Prec@5 75.781 (72.840)
Epoch: [100][2100/5005] Time 0.215 (0.211) Data 0.043 (0.047) Loss 2.3740 (2.2965) Prec@1 46.094 (47.420) Prec@5 71.484 (72.836)
Epoch: [100][2110/5005] Time 0.211 (0.211) Data 0.042 (0.047) Loss 2.2066 (2.2964) Prec@1 51.953 (47.427) Prec@5 71.875 (72.833)
Epoch: [100][2120/5005] Time 0.212 (0.211) Data 0.042 (0.047) Loss 2.4132 (2.2964) Prec@1 47.266 (47.430) Prec@5 69.141 (72.836)
Epoch: [100][2130/5005] Time 0.205 (0.211) Data 0.044 (0.047) Loss 2.2435 (2.2959) Prec@1 49.609 (47.438) Prec@5 72.266 (72.845)
Epoch: [100][2140/5005] Time 0.211 (0.211) Data 0.049 (0.047) Loss 2.2862 (2.2958) Prec@1 46.484 (47.444) Prec@5 71.484 (72.843)
Epoch: [100][2150/5005] Time 0.205 (0.211) Data 0.047 (0.047) Loss 2.0477 (2.2957) Prec@1 53.906 (47.447) Prec@5 75.391 (72.847)
Epoch: [100][2160/5005] Time 0.205 (0.211) Data 0.047 (0.047) Loss 2.1852 (2.2955) Prec@1 48.828 (47.450) Prec@5 73.438 (72.849)
Epoch: [100][2170/5005] Time 0.202 (0.211) Data 0.045 (0.047) Loss 2.2302 (2.2953) Prec@1 46.875 (47.453) Prec@5 75.000 (72.855)
Epoch: [100][2180/5005] Time 0.213 (0.211) Data 0.044 (0.047) Loss 2.3388 (2.2953) Prec@1 49.609 (47.449) Prec@5 70.312 (72.856)
Epoch: [100][2190/5005] Time 0.205 (0.211) Data 0.045 (0.047) Loss 2.5448 (2.2954) Prec@1 47.656 (47.451) Prec@5 68.359 (72.854)
Epoch: [100][2200/5005] Time 0.202 (0.211) Data 0.046 (0.047) Loss 2.2593 (2.2955) Prec@1 42.578 (47.445) Prec@5 73.828 (72.853)
Epoch: [100][2210/5005] Time 0.215 (0.211) Data 0.053 (0.047) Loss 2.3796 (2.2958) Prec@1 41.406 (47.441) Prec@5 69.922 (72.849)
Epoch: [100][2220/5005] Time 0.211 (0.211) Data 0.047 (0.047) Loss 2.3537 (2.2955) Prec@1 48.047 (47.446) Prec@5 72.266 (72.854)
Epoch: [100][2230/5005] Time 0.204 (0.211) Data 0.049 (0.047) Loss 2.2119 (2.2956) Prec@1 49.219 (47.448) Prec@5 76.172 (72.853)
Epoch: [100][2240/5005] Time 0.201 (0.211) Data 0.050 (0.047) Loss 2.3011 (2.2957) Prec@1 49.219 (47.447) Prec@5 73.047 (72.851)
Epoch: [100][2250/5005] Time 0.208 (0.211) Data 0.048 (0.047) Loss 2.1822 (2.2959) Prec@1 49.609 (47.445) Prec@5 73.047 (72.849)
Epoch: [100][2260/5005] Time 0.198 (0.211) Data 0.052 (0.047) Loss 2.1510 (2.2955) Prec@1 49.609 (47.448) Prec@5 76.172 (72.852)
Epoch: [100][2270/5005] Time 0.217 (0.211) Data 0.043 (0.047) Loss 2.3489 (2.2953) Prec@1 45.312 (47.455) Prec@5 71.875 (72.855)
Epoch: [100][2280/5005] Time 0.203 (0.211) Data 0.043 (0.047) Loss 2.3701 (2.2952) Prec@1 48.438 (47.459) Prec@5 70.703 (72.856)
Epoch: [100][2290/5005] Time 0.203 (0.211) Data 0.044 (0.047) Loss 2.1033 (2.2951) Prec@1 53.125 (47.463) Prec@5 77.344 (72.858)
Epoch: [100][2300/5005] Time 0.209 (0.211) Data 0.049 (0.047) Loss 2.1564 (2.2950) Prec@1 46.875 (47.465) Prec@5 75.391 (72.862)
Epoch: [100][2310/5005] Time 0.204 (0.211) Data 0.041 (0.047) Loss 2.0996 (2.2948) Prec@1 54.297 (47.467) Prec@5 72.656 (72.867)
Epoch: [100][2320/5005] Time 0.214 (0.211) Data 0.045 (0.047) Loss 2.4327 (2.2949) Prec@1 43.359 (47.464) Prec@5 74.219 (72.865)
Epoch: [100][2330/5005] Time 0.209 (0.211) Data 0.049 (0.047) Loss 2.2832 (2.2947) Prec@1 46.484 (47.466) Prec@5 74.219 (72.872)
Epoch: [100][2340/5005] Time 0.216 (0.211) Data 0.048 (0.047) Loss 2.3403 (2.2944) Prec@1 47.656 (47.476) Prec@5 73.438 (72.878)
Epoch: [100][2350/5005] Time 0.206 (0.211) Data 0.054 (0.047) Loss 2.2536 (2.2942) Prec@1 46.875 (47.478) Prec@5 76.562 (72.882)
Epoch: [100][2360/5005] Time 0.198 (0.211) Data 0.058 (0.047) Loss 2.2835 (2.2944) Prec@1 49.219 (47.474) Prec@5 70.312 (72.878)
Epoch: [100][2370/5005] Time 0.206 (0.211) Data 0.058 (0.047) Loss 2.3372 (2.2945) Prec@1 43.750 (47.473) Prec@5 72.266 (72.876)
Epoch: [100][2380/5005] Time 0.215 (0.211) Data 0.043 (0.047) Loss 2.1605 (2.2941) Prec@1 49.609 (47.481) Prec@5 73.047 (72.882)
Epoch: [100][2390/5005] Time 0.215 (0.211) Data 0.042 (0.048) Loss 2.1677 (2.2940) Prec@1 50.781 (47.484) Prec@5 73.828 (72.883)
Epoch: [100][2400/5005] Time 0.198 (0.211) Data 0.041 (0.047) Loss 2.2525 (2.2939) Prec@1 45.312 (47.475) Prec@5 73.438 (72.885)
Epoch: [100][2410/5005] Time 0.203 (0.211) Data 0.041 (0.047) Loss 2.5269 (2.2941) Prec@1 46.484 (47.473) Prec@5 67.578 (72.883)
Epoch: [100][2420/5005] Time 0.210 (0.211) Data 0.043 (0.047) Loss 2.2690 (2.2939) Prec@1 49.609 (47.478) Prec@5 74.219 (72.888)
Epoch: [100][2430/5005] Time 0.211 (0.211) Data 0.053 (0.047) Loss 2.1903 (2.2940) Prec@1 51.172 (47.476) Prec@5 75.000 (72.885)
Epoch: [100][2440/5005] Time 0.205 (0.211) Data 0.040 (0.047) Loss 1.9664 (2.2938) Prec@1 51.562 (47.482) Prec@5 76.953 (72.884)
Epoch: [100][2450/5005] Time 0.218 (0.211) Data 0.048 (0.047) Loss 2.0839 (2.2935) Prec@1 52.734 (47.488) Prec@5 75.391 (72.888)
Epoch: [100][2460/5005] Time 0.208 (0.211) Data 0.048 (0.048) Loss 2.2311 (2.2933) Prec@1 46.094 (47.491) Prec@5 74.219 (72.891)
Epoch: [100][2470/5005] Time 0.213 (0.211) Data 0.042 (0.048) Loss 2.0580 (2.2930) Prec@1 53.125 (47.497) Prec@5 72.656 (72.893)
Epoch: [100][2480/5005] Time 0.214 (0.211) Data 0.044 (0.048) Loss 2.4710 (2.2931) Prec@1 43.750 (47.496) Prec@5 72.656 (72.895)
Epoch: [100][2490/5005] Time 0.196 (0.211) Data 0.045 (0.048) Loss 2.0549 (2.2931) Prec@1 53.516 (47.496) Prec@5 75.391 (72.894)
Epoch: [100][2500/5005] Time 0.197 (0.211) Data 0.055 (0.048) Loss 2.3227 (2.2929) Prec@1 50.391 (47.501) Prec@5 72.656 (72.897)
Epoch: [100][2510/5005] Time 0.200 (0.211) Data 0.044 (0.048) Loss 2.4418 (2.2930) Prec@1 45.312 (47.499) Prec@5 71.875 (72.897)
Epoch: [100][2520/5005] Time 0.207 (0.211) Data 0.043 (0.048) Loss 2.1350 (2.2928) Prec@1 52.734 (47.503) Prec@5 73.828 (72.901)
Epoch: [100][2530/5005] Time 0.211 (0.211) Data 0.041 (0.047) Loss 2.5096 (2.2929) Prec@1 43.750 (47.503) Prec@5 70.703 (72.900)
Epoch: [100][2540/5005] Time 0.210 (0.211) Data 0.041 (0.047) Loss 2.3037 (2.2929) Prec@1 45.703 (47.502) Prec@5 74.219 (72.900)
Epoch: [100][2550/5005] Time 0.211 (0.211) Data 0.044 (0.047) Loss 2.2196 (2.2929) Prec@1 44.922 (47.502) Prec@5 77.344 (72.900)
Epoch: [100][2560/5005] Time 0.208 (0.211) Data 0.041 (0.047) Loss 2.5478 (2.2932) Prec@1 42.578 (47.495) Prec@5 69.531 (72.897)
Epoch: [100][2570/5005] Time 0.213 (0.211) Data 0.044 (0.047) Loss 2.2595 (2.2933) Prec@1 46.484 (47.497) Prec@5 76.562 (72.897)
Epoch: [100][2580/5005] Time 0.212 (0.211) Data 0.043 (0.047) Loss 2.2587 (2.2935) Prec@1 44.531 (47.489) Prec@5 76.172 (72.896)
Epoch: [100][2590/5005] Time 0.220 (0.211) Data 0.041 (0.047) Loss 2.4046 (2.2934) Prec@1 46.484 (47.491) Prec@5 68.750 (72.898)
Epoch: [100][2600/5005] Time 0.213 (0.211) Data 0.052 (0.047) Loss 2.3858 (2.2935) Prec@1 50.391 (47.491) Prec@5 73.438 (72.898)
Epoch: [100][2610/5005] Time 0.210 (0.211) Data 0.045 (0.047) Loss 2.3955 (2.2932) Prec@1 46.094 (47.500) Prec@5 69.922 (72.906)
Epoch: [100][2620/5005] Time 0.205 (0.211) Data 0.058 (0.047) Loss 2.2972 (2.2932) Prec@1 48.438 (47.499) Prec@5 70.703 (72.906)
Epoch: [100][2630/5005] Time 0.198 (0.211) Data 0.048 (0.047) Loss 2.4149 (2.2935) Prec@1 45.703 (47.495) Prec@5 70.312 (72.898)
Epoch: [100][2640/5005] Time 0.200 (0.211) Data 0.048 (0.047) Loss 2.3461 (2.2936) Prec@1 45.312 (47.494) Prec@5 71.484 (72.896)
Epoch: [100][2650/5005] Time 0.200 (0.211) Data 0.050 (0.047) Loss 2.5480 (2.2936) Prec@1 42.578 (47.496) Prec@5 67.578 (72.893)
Epoch: [100][2660/5005] Time 0.201 (0.211) Data 0.047 (0.048) Loss 2.1438 (2.2935) Prec@1 46.875 (47.495) Prec@5 76.562 (72.895)
Epoch: [100][2670/5005] Time 0.202 (0.211) Data 0.058 (0.048) Loss 2.0491 (2.2932) Prec@1 51.953 (47.502) Prec@5 78.906 (72.903)
Epoch: [100][2680/5005] Time 0.211 (0.211) Data 0.044 (0.048) Loss 2.1353 (2.2931) Prec@1 48.438 (47.499) Prec@5 76.562 (72.906)
Epoch: [100][2690/5005] Time 0.194 (0.211) Data 0.047 (0.048) Loss 2.1126 (2.2929) Prec@1 54.688 (47.503) Prec@5 74.609 (72.911)
Epoch: [100][2700/5005] Time 0.196 (0.211) Data 0.043 (0.048) Loss 2.2657 (2.2929) Prec@1 48.047 (47.500) Prec@5 73.438 (72.910)
Epoch: [100][2710/5005] Time 0.212 (0.211) Data 0.046 (0.048) Loss 2.1134 (2.2931) Prec@1 51.562 (47.496) Prec@5 75.391 (72.903)
Epoch: [100][2720/5005] Time 0.200 (0.211) Data 0.040 (0.048) Loss 2.1297 (2.2931) Prec@1 51.172 (47.493) Prec@5 75.781 (72.904)
Epoch: [100][2730/5005] Time 0.210 (0.211) Data 0.044 (0.048) Loss 2.3033 (2.2929) Prec@1 46.094 (47.497) Prec@5 69.922 (72.908)
Epoch: [100][2740/5005] Time 0.209 (0.211) Data 0.044 (0.048) Loss 2.2593 (2.2928) Prec@1 48.438 (47.502) Prec@5 73.828 (72.909)
Epoch: [100][2750/5005] Time 0.211 (0.211) Data 0.043 (0.048) Loss 2.3165 (2.2927) Prec@1 47.266 (47.504) Prec@5 71.875 (72.910)
Epoch: [100][2760/5005] Time 0.219 (0.211) Data 0.042 (0.047) Loss 2.2611 (2.2925) Prec@1 50.391 (47.508) Prec@5 76.562 (72.912)
Epoch: [100][2770/5005] Time 0.216 (0.211) Data 0.040 (0.047) Loss 2.3075 (2.2926) Prec@1 48.047 (47.507) Prec@5 73.438 (72.909)
Epoch: [100][2780/5005] Time 0.208 (0.211) Data 0.044 (0.047) Loss 2.4838 (2.2924) Prec@1 40.234 (47.510) Prec@5 73.047 (72.914)
Epoch: [100][2790/5005] Time 0.215 (0.211) Data 0.042 (0.047) Loss 2.5161 (2.2926) Prec@1 41.016 (47.505) Prec@5 68.359 (72.912)
Epoch: [100][2800/5005] Time 0.204 (0.211) Data 0.041 (0.047) Loss 2.0635 (2.2925) Prec@1 51.562 (47.505) Prec@5 77.344 (72.917)
Epoch: [100][2810/5005] Time 0.201 (0.211) Data 0.046 (0.047) Loss 2.4892 (2.2924) Prec@1 48.047 (47.509) Prec@5 69.531 (72.918)
Epoch: [100][2820/5005] Time 0.209 (0.211) Data 0.051 (0.047) Loss 2.0807 (2.2923) Prec@1 49.609 (47.507) Prec@5 73.047 (72.920)
Epoch: [100][2830/5005] Time 0.202 (0.211) Data 0.043 (0.047) Loss 2.6099 (2.2925) Prec@1 42.578 (47.502) Prec@5 67.969 (72.915)
Epoch: [100][2840/5005] Time 0.209 (0.211) Data 0.043 (0.047) Loss 2.3629 (2.2925) Prec@1 44.531 (47.503) Prec@5 71.484 (72.916)
Epoch: [100][2850/5005] Time 0.202 (0.211) Data 0.043 (0.047) Loss 2.3059 (2.2925) Prec@1 48.047 (47.502) Prec@5 71.875 (72.915)
Epoch: [100][2860/5005] Time 0.207 (0.210) Data 0.043 (0.047) Loss 2.3845 (2.2926) Prec@1 45.703 (47.502) Prec@5 73.047 (72.915)
Epoch: [100][2870/5005] Time 0.206 (0.210) Data 0.049 (0.047) Loss 2.3105 (2.2923) Prec@1 44.531 (47.503) Prec@5 72.266 (72.923)
Epoch: [100][2880/5005] Time 0.212 (0.210) Data 0.046 (0.047) Loss 2.3505 (2.2924) Prec@1 47.656 (47.504) Prec@5 71.484 (72.922)
Epoch: [100][2890/5005] Time 0.203 (0.210) Data 0.048 (0.047) Loss 2.3577 (2.2921) Prec@1 44.922 (47.506) Prec@5 72.656 (72.929)
Epoch: [100][2900/5005] Time 0.213 (0.210) Data 0.046 (0.047) Loss 1.9496 (2.2918) Prec@1 51.172 (47.512) Prec@5 77.734 (72.934)
Epoch: [100][2910/5005] Time 0.209 (0.210) Data 0.047 (0.047) Loss 2.4208 (2.2919) Prec@1 41.406 (47.508) Prec@5 70.703 (72.933)
Epoch: [100][2920/5005] Time 0.203 (0.210) Data 0.039 (0.047) Loss 2.4053 (2.2919) Prec@1 44.922 (47.511) Prec@5 71.875 (72.934)
Epoch: [100][2930/5005] Time 0.194 (0.210) Data 0.060 (0.047) Loss 2.5041 (2.2919) Prec@1 43.359 (47.511) Prec@5 69.531 (72.932)
Epoch: [100][2940/5005] Time 0.188 (0.210) Data 0.053 (0.047) Loss 2.5392 (2.2919) Prec@1 42.969 (47.509) Prec@5 67.188 (72.930)
Epoch: [100][2950/5005] Time 0.197 (0.210) Data 0.045 (0.047) Loss 2.3806 (2.2916) Prec@1 42.578 (47.516) Prec@5 72.656 (72.935)
Epoch: [100][2960/5005] Time 0.206 (0.210) Data 0.041 (0.047) Loss 2.3155 (2.2915) Prec@1 48.047 (47.520) Prec@5 71.094 (72.936)
Epoch: [100][2970/5005] Time 0.205 (0.210) Data 0.056 (0.047) Loss 2.3466 (2.2914) Prec@1 45.703 (47.523) Prec@5 73.047 (72.939)
Epoch: [100][2980/5005] Time 0.209 (0.210) Data 0.039 (0.047) Loss 2.3550 (2.2913) Prec@1 44.922 (47.524) Prec@5 72.656 (72.938)
Epoch: [100][2990/5005] Time 0.191 (0.210) Data 0.046 (0.047) Loss 2.2672 (2.2913) Prec@1 46.094 (47.523) Prec@5 71.094 (72.936)
Epoch: [100][3000/5005] Time 0.213 (0.210) Data 0.042 (0.047) Loss 2.3796 (2.2912) Prec@1 42.188 (47.522) Prec@5 71.484 (72.936)
Epoch: [100][3010/5005] Time 0.214 (0.210) Data 0.045 (0.047) Loss 2.2163 (2.2914) Prec@1 49.609 (47.519) Prec@5 76.172 (72.932)
Epoch: [100][3020/5005] Time 0.207 (0.210) Data 0.041 (0.047) Loss 2.2312 (2.2917) Prec@1 48.047 (47.516) Prec@5 75.391 (72.929)
Epoch: [100][3030/5005] Time 0.213 (0.210) Data 0.050 (0.047) Loss 2.2886 (2.2919) Prec@1 50.000 (47.513) Prec@5 71.094 (72.926)
Epoch: [100][3040/5005] Time 0.201 (0.210) Data 0.043 (0.047) Loss 2.1902 (2.2917) Prec@1 47.656 (47.518) Prec@5 73.438 (72.925)
Epoch: [100][3050/5005] Time 0.214 (0.210) Data 0.047 (0.047) Loss 2.4376 (2.2917) Prec@1 42.969 (47.514) Prec@5 70.703 (72.926)
Epoch: [100][3060/5005] Time 0.204 (0.210) Data 0.047 (0.047) Loss 2.2111 (2.2916) Prec@1 48.047 (47.511) Prec@5 76.953 (72.927)
Epoch: [100][3070/5005] Time 0.200 (0.210) Data 0.052 (0.047) Loss 2.1776 (2.2915) Prec@1 48.047 (47.516) Prec@5 74.219 (72.927)
Epoch: [100][3080/5005] Time 0.200 (0.210) Data 0.050 (0.047) Loss 2.1354 (2.2915) Prec@1 51.172 (47.518) Prec@5 73.438 (72.930)
Epoch: [100][3090/5005] Time 0.202 (0.210) Data 0.055 (0.047) Loss 2.5135 (2.2914) Prec@1 39.844 (47.518) Prec@5 71.484 (72.933)
Epoch: [100][3100/5005] Time 0.200 (0.210) Data 0.048 (0.047) Loss 2.3739 (2.2914) Prec@1 46.875 (47.517) Prec@5 71.875 (72.932)
Epoch: [100][3110/5005] Time 0.209 (0.210) Data 0.047 (0.047) Loss 2.0145 (2.2911) Prec@1 52.344 (47.521) Prec@5 79.688 (72.937)
Epoch: [100][3120/5005] Time 0.204 (0.210) Data 0.044 (0.047) Loss 2.4147 (2.2911) Prec@1 43.359 (47.517) Prec@5 69.141 (72.938)
Epoch: [100][3130/5005] Time 0.220 (0.210) Data 0.047 (0.048) Loss 2.3273 (2.2909) Prec@1 42.969 (47.520) Prec@5 74.219 (72.941)
Epoch: [100][3140/5005] Time 0.203 (0.210) Data 0.062 (0.048) Loss 2.0083 (2.2906) Prec@1 56.250 (47.525) Prec@5 75.391 (72.945)
Epoch: [100][3150/5005] Time 0.204 (0.210) Data 0.047 (0.048) Loss 2.3326 (2.2904) Prec@1 49.609 (47.527) Prec@5 72.656 (72.949)
Epoch: [100][3160/5005] Time 0.211 (0.210) Data 0.045 (0.048) Loss 2.1639 (2.2904) Prec@1 51.953 (47.533) Prec@5 75.781 (72.948)
Epoch: [100][3170/5005] Time 0.219 (0.210) Data 0.044 (0.048) Loss 2.3120 (2.2905) Prec@1 46.875 (47.532) Prec@5 75.391 (72.947)
Epoch: [100][3180/5005] Time 0.217 (0.210) Data 0.041 (0.048) Loss 2.1440 (2.2905) Prec@1 55.469 (47.533) Prec@5 75.391 (72.945)
Epoch: [100][3190/5005] Time 0.200 (0.210) Data 0.042 (0.048) Loss 2.2858 (2.2905) Prec@1 48.047 (47.532) Prec@5 75.000 (72.948)
Epoch: [100][3200/5005] Time 0.204 (0.210) Data 0.048 (0.048) Loss 2.3556 (2.2905) Prec@1 45.703 (47.536) Prec@5 75.391 (72.949)
Epoch: [100][3210/5005] Time 0.211 (0.210) Data 0.050 (0.048) Loss 2.3261 (2.2906) Prec@1 46.875 (47.536) Prec@5 70.312 (72.949)
Epoch: [100][3220/5005] Time 0.218 (0.210) Data 0.043 (0.048) Loss 2.3676 (2.2905) Prec@1 48.438 (47.536) Prec@5 70.312 (72.950)
Epoch: [100][3230/5005] Time 0.209 (0.210) Data 0.045 (0.048) Loss 2.2107 (2.2904) Prec@1 48.047 (47.539) Prec@5 72.656 (72.951)
Epoch: [100][3240/5005] Time 0.195 (0.210) Data 0.047 (0.048) Loss 2.4273 (2.2907) Prec@1 42.188 (47.530) Prec@5 70.312 (72.945)
Epoch: [100][3250/5005] Time 0.197 (0.210) Data 0.046 (0.048) Loss 2.1443 (2.2907) Prec@1 48.828 (47.528) Prec@5 76.953 (72.946)
Epoch: [100][3260/5005] Time 0.213 (0.210) Data 0.043 (0.047) Loss 2.0623 (2.2908) Prec@1 50.000 (47.526) Prec@5 78.906 (72.946)
Epoch: [100][3270/5005] Time 0.212 (0.210) Data 0.044 (0.047) Loss 2.2893 (2.2905) Prec@1 47.656 (47.529) Prec@5 73.438 (72.951)
Epoch: [100][3280/5005] Time 0.216 (0.210) Data 0.042 (0.047) Loss 2.1847 (2.2907) Prec@1 52.734 (47.531) Prec@5 74.609 (72.952)
Epoch: [100][3290/5005] Time 0.216 (0.210) Data 0.045 (0.047) Loss 2.3243 (2.2906) Prec@1 49.219 (47.532) Prec@5 69.922 (72.950)
Epoch: [100][3300/5005] Time 0.198 (0.210) Data 0.046 (0.047) Loss 2.2141 (2.2906) Prec@1 48.047 (47.531) Prec@5 73.828 (72.949)
Epoch: [100][3310/5005] Time 0.203 (0.210) Data 0.042 (0.047) Loss 2.1808 (2.2906) Prec@1 48.438 (47.533) Prec@5 72.656 (72.950)
Epoch: [100][3320/5005] Time 0.208 (0.210) Data 0.044 (0.047) Loss 2.3189 (2.2906) Prec@1 50.391 (47.534) Prec@5 73.438 (72.948)
Epoch: [100][3330/5005] Time 0.203 (0.210) Data 0.041 (0.047) Loss 2.2922 (2.2907) Prec@1 46.094 (47.534) Prec@5 69.531 (72.945)
Epoch: [100][3340/5005] Time 0.207 (0.210) Data 0.054 (0.047) Loss 2.4454 (2.2907) Prec@1 42.969 (47.531) Prec@5 74.219 (72.949)
Epoch: [100][3350/5005] Time 0.211 (0.210) Data 0.045 (0.047) Loss 2.4134 (2.2908) Prec@1 44.922 (47.529) Prec@5 69.531 (72.948)
Epoch: [100][3360/5005] Time 0.206 (0.210) Data 0.046 (0.047) Loss 2.2220 (2.2907) Prec@1 50.391 (47.533) Prec@5 73.438 (72.949)
Epoch: [100][3370/5005] Time 0.207 (0.210) Data 0.064 (0.047) Loss 2.3891 (2.2907) Prec@1 45.312 (47.532) Prec@5 71.875 (72.951)
Epoch: [100][3380/5005] Time 0.212 (0.210) Data 0.045 (0.047) Loss 2.2071 (2.2906) Prec@1 50.000 (47.531) Prec@5 73.828 (72.953)
Epoch: [100][3390/5005] Time 0.213 (0.210) Data 0.046 (0.047) Loss 2.2179 (2.2908) Prec@1 52.344 (47.527) Prec@5 75.781 (72.948)
Epoch: [100][3400/5005] Time 0.201 (0.210) Data 0.040 (0.047) Loss 2.2082 (2.2909) Prec@1 47.656 (47.529) Prec@5 75.391 (72.948)
Epoch: [100][3410/5005] Time 0.211 (0.210) Data 0.049 (0.047) Loss 2.2277 (2.2907) Prec@1 47.656 (47.532) Prec@5 73.438 (72.948)
Epoch: [100][3420/5005] Time 0.213 (0.210) Data 0.046 (0.047) Loss 2.2286 (2.2907) Prec@1 48.828 (47.530) Prec@5 74.219 (72.949)
Epoch: [100][3430/5005] Time 0.215 (0.210) Data 0.043 (0.047) Loss 2.2750 (2.2907) Prec@1 46.484 (47.530) Prec@5 72.266 (72.951)
Epoch: [100][3440/5005] Time 0.202 (0.210) Data 0.040 (0.047) Loss 2.2596 (2.2905) Prec@1 48.047 (47.531) Prec@5 73.047 (72.954)
Epoch: [100][3450/5005] Time 0.201 (0.210) Data 0.052 (0.047) Loss 2.1052 (2.2904) Prec@1 51.172 (47.530) Prec@5 76.953 (72.958)
Epoch: [100][3460/5005] Time 0.214 (0.210) Data 0.045 (0.047) Loss 2.2453 (2.2904) Prec@1 46.484 (47.528) Prec@5 73.828 (72.959)
Epoch: [100][3470/5005] Time 0.210 (0.210) Data 0.043 (0.047) Loss 2.2366 (2.2902) Prec@1 50.000 (47.529) Prec@5 76.562 (72.960)
Epoch: [100][3480/5005] Time 0.211 (0.210) Data 0.043 (0.047) Loss 2.1352 (2.2901) Prec@1 47.656 (47.530) Prec@5 75.781 (72.964)
Epoch: [100][3490/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.4639 (2.2901) Prec@1 44.141 (47.532) Prec@5 66.016 (72.960)
Epoch: [100][3500/5005] Time 0.211 (0.210) Data 0.044 (0.047) Loss 2.3359 (2.2902) Prec@1 46.484 (47.529) Prec@5 74.609 (72.960)
Epoch: [100][3510/5005] Time 0.214 (0.210) Data 0.044 (0.047) Loss 2.1392 (2.2900) Prec@1 53.516 (47.533) Prec@5 75.000 (72.963)
Epoch: [100][3520/5005] Time 0.210 (0.210) Data 0.042 (0.047) Loss 2.5894 (2.2901) Prec@1 45.312 (47.533) Prec@5 67.188 (72.961)
Epoch: [100][3530/5005] Time 0.212 (0.210) Data 0.044 (0.047) Loss 2.2612 (2.2899) Prec@1 50.781 (47.539) Prec@5 72.266 (72.962)
Epoch: [100][3540/5005] Time 0.198 (0.210) Data 0.059 (0.047) Loss 2.2115 (2.2896) Prec@1 48.047 (47.542) Prec@5 75.000 (72.966)
Epoch: [100][3550/5005] Time 0.209 (0.210) Data 0.049 (0.047) Loss 2.3350 (2.2895) Prec@1 44.922 (47.544) Prec@5 73.828 (72.971)
Epoch: [100][3560/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.3356 (2.2893) Prec@1 48.438 (47.547) Prec@5 70.703 (72.973)
Epoch: [100][3570/5005] Time 0.199 (0.210) Data 0.049 (0.047) Loss 2.3936 (2.2894) Prec@1 47.656 (47.546) Prec@5 71.875 (72.974)
Epoch: [100][3580/5005] Time 0.218 (0.210) Data 0.047 (0.047) Loss 2.2928 (2.2895) Prec@1 47.266 (47.547) Prec@5 73.047 (72.972)
Epoch: [100][3590/5005] Time 0.209 (0.210) Data 0.047 (0.047) Loss 2.3675 (2.2892) Prec@1 46.484 (47.552) Prec@5 72.656 (72.975)
Epoch: [100][3600/5005] Time 0.214 (0.210) Data 0.039 (0.047) Loss 2.3868 (2.2891) Prec@1 47.656 (47.553) Prec@5 71.875 (72.977)
Epoch: [100][3610/5005] Time 0.200 (0.210) Data 0.048 (0.047) Loss 2.0514 (2.2891) Prec@1 51.172 (47.552) Prec@5 76.562 (72.977)
Epoch: [100][3620/5005] Time 0.195 (0.210) Data 0.047 (0.047) Loss 2.4466 (2.2889) Prec@1 44.922 (47.559) Prec@5 67.969 (72.980)
Epoch: [100][3630/5005] Time 0.206 (0.210) Data 0.046 (0.047) Loss 2.4168 (2.2888) Prec@1 45.703 (47.558) Prec@5 70.703 (72.980)
Epoch: [100][3640/5005] Time 0.214 (0.210) Data 0.042 (0.047) Loss 2.3329 (2.2888) Prec@1 41.406 (47.557) Prec@5 73.828 (72.979)
Epoch: [100][3650/5005] Time 0.215 (0.210) Data 0.043 (0.047) Loss 2.1497 (2.2887) Prec@1 53.125 (47.556) Prec@5 74.609 (72.980)
Epoch: [100][3660/5005] Time 0.216 (0.210) Data 0.044 (0.047) Loss 2.3980 (2.2885) Prec@1 42.969 (47.560) Prec@5 71.094 (72.984)
Epoch: [100][3670/5005] Time 0.211 (0.210) Data 0.043 (0.047) Loss 2.4066 (2.2886) Prec@1 46.875 (47.562) Prec@5 71.484 (72.981)
Epoch: [100][3680/5005] Time 0.212 (0.210) Data 0.041 (0.047) Loss 2.1710 (2.2886) Prec@1 48.047 (47.561) Prec@5 75.781 (72.983)
Epoch: [100][3690/5005] Time 0.209 (0.210) Data 0.041 (0.047) Loss 1.9446 (2.2885) Prec@1 53.906 (47.565) Prec@5 78.906 (72.985)
Epoch: [100][3700/5005] Time 0.208 (0.210) Data 0.051 (0.047) Loss 2.2686 (2.2884) Prec@1 51.953 (47.567) Prec@5 75.391 (72.987)
Epoch: [100][3710/5005] Time 0.211 (0.210) Data 0.046 (0.047) Loss 2.2548 (2.2884) Prec@1 48.828 (47.569) Prec@5 74.219 (72.987)
Epoch: [100][3720/5005] Time 0.194 (0.210) Data 0.054 (0.047) Loss 2.3035 (2.2884) Prec@1 46.875 (47.571) Prec@5 73.828 (72.986)
Epoch: [100][3730/5005] Time 0.214 (0.210) Data 0.061 (0.047) Loss 2.1488 (2.2881) Prec@1 50.781 (47.574) Prec@5 74.609 (72.989)
Epoch: [100][3740/5005] Time 0.203 (0.210) Data 0.048 (0.047) Loss 2.1683 (2.2879) Prec@1 49.609 (47.582) Prec@5 74.219 (72.990)
Epoch: [100][3750/5005] Time 0.211 (0.210) Data 0.043 (0.047) Loss 2.1932 (2.2880) Prec@1 43.750 (47.579) Prec@5 75.391 (72.985)
Epoch: [100][3760/5005] Time 0.216 (0.210) Data 0.050 (0.047) Loss 2.4460 (2.2880) Prec@1 48.047 (47.582) Prec@5 67.578 (72.985)
Epoch: [100][3770/5005] Time 0.204 (0.210) Data 0.047 (0.047) Loss 2.3272 (2.2879) Prec@1 50.000 (47.584) Prec@5 73.047 (72.987)
Epoch: [100][3780/5005] Time 0.216 (0.210) Data 0.045 (0.047) Loss 2.1974 (2.2878) Prec@1 50.000 (47.585) Prec@5 72.656 (72.986)
Epoch: [100][3790/5005] Time 0.217 (0.210) Data 0.044 (0.047) Loss 2.4034 (2.2879) Prec@1 44.922 (47.582) Prec@5 73.047 (72.985)
Epoch: [100][3800/5005] Time 0.212 (0.210) Data 0.044 (0.047) Loss 2.2474 (2.2881) Prec@1 50.000 (47.578) Prec@5 75.000 (72.979)
Epoch: [100][3810/5005] Time 0.215 (0.210) Data 0.044 (0.047) Loss 2.2931 (2.2881) Prec@1 48.047 (47.576) Prec@5 73.438 (72.978)
Epoch: [100][3820/5005] Time 0.211 (0.210) Data 0.043 (0.047) Loss 2.1974 (2.2880) Prec@1 49.219 (47.581) Prec@5 73.828 (72.981)
Epoch: [100][3830/5005] Time 0.205 (0.210) Data 0.045 (0.047) Loss 2.2843 (2.2878) Prec@1 46.484 (47.584) Prec@5 73.047 (72.985)
Epoch: [100][3840/5005] Time 0.210 (0.210) Data 0.041 (0.047) Loss 2.6873 (2.2880) Prec@1 37.109 (47.580) Prec@5 64.453 (72.981)
Epoch: [100][3850/5005] Time 0.213 (0.210) Data 0.046 (0.047) Loss 2.3582 (2.2878) Prec@1 47.266 (47.579) Prec@5 74.219 (72.986)
Epoch: [100][3860/5005] Time 0.213 (0.210) Data 0.043 (0.047) Loss 2.1347 (2.2878) Prec@1 53.516 (47.581) Prec@5 73.047 (72.983)
Epoch: [100][3870/5005] Time 0.205 (0.210) Data 0.068 (0.047) Loss 2.2006 (2.2878) Prec@1 46.484 (47.580) Prec@5 75.000 (72.985)
Epoch: [100][3880/5005] Time 0.201 (0.210) Data 0.042 (0.047) Loss 2.0556 (2.2878) Prec@1 51.953 (47.580) Prec@5 77.344 (72.985)
Epoch: [100][3890/5005] Time 0.209 (0.210) Data 0.064 (0.047) Loss 2.5847 (2.2878) Prec@1 43.750 (47.581) Prec@5 68.359 (72.985)
Epoch: [100][3900/5005] Time 0.215 (0.210) Data 0.042 (0.047) Loss 2.4182 (2.2879) Prec@1 44.531 (47.577) Prec@5 72.656 (72.985)
Epoch: [100][3910/5005] Time 0.204 (0.210) Data 0.047 (0.047) Loss 2.2943 (2.2879) Prec@1 47.656 (47.577) Prec@5 72.266 (72.987)
Epoch: [100][3920/5005] Time 0.204 (0.210) Data 0.043 (0.047) Loss 2.2595 (2.2880) Prec@1 45.703 (47.574) Prec@5 73.047 (72.985)
Epoch: [100][3930/5005] Time 0.203 (0.210) Data 0.043 (0.047) Loss 2.3644 (2.2879) Prec@1 47.266 (47.574) Prec@5 71.094 (72.983)
Epoch: [100][3940/5005] Time 0.207 (0.210) Data 0.060 (0.047) Loss 2.3614 (2.2878) Prec@1 48.047 (47.576) Prec@5 68.750 (72.984)
Epoch: [100][3950/5005] Time 0.211 (0.210) Data 0.048 (0.047) Loss 2.1131 (2.2875) Prec@1 50.391 (47.581) Prec@5 75.781 (72.988)
Epoch: [100][3960/5005] Time 0.213 (0.210) Data 0.045 (0.047) Loss 2.4305 (2.2875) Prec@1 47.656 (47.581) Prec@5 72.266 (72.989)
Epoch: [100][3970/5005] Time 0.202 (0.210) Data 0.045 (0.047) Loss 2.2537 (2.2875) Prec@1 51.562 (47.580) Prec@5 73.047 (72.989)
Epoch: [100][3980/5005] Time 0.208 (0.210) Data 0.046 (0.047) Loss 2.1374 (2.2874) Prec@1 49.609 (47.581) Prec@5 75.781 (72.991)
Epoch: [100][3990/5005] Time 0.211 (0.210) Data 0.050 (0.047) Loss 2.3922 (2.2875) Prec@1 45.703 (47.579) Prec@5 69.922 (72.990)
Epoch: [100][4000/5005] Time 0.197 (0.210) Data 0.041 (0.047) Loss 2.2609 (2.2874) Prec@1 46.875 (47.578) Prec@5 72.266 (72.991)
Epoch: [100][4010/5005] Time 0.205 (0.210) Data 0.047 (0.047) Loss 2.3162 (2.2873) Prec@1 44.141 (47.582) Prec@5 70.703 (72.994)
Epoch: [100][4020/5005] Time 0.204 (0.210) Data 0.042 (0.047) Loss 2.4119 (2.2872) Prec@1 45.703 (47.583) Prec@5 71.094 (72.994)
Epoch: [100][4030/5005] Time 0.212 (0.210) Data 0.046 (0.047) Loss 2.5213 (2.2875) Prec@1 41.406 (47.578) Prec@5 68.359 (72.989)
Epoch: [100][4040/5005] Time 0.200 (0.210) Data 0.046 (0.047) Loss 2.3597 (2.2876) Prec@1 48.828 (47.573) Prec@5 69.531 (72.985)
Epoch: [100][4050/5005] Time 0.206 (0.210) Data 0.059 (0.047) Loss 2.5549 (2.2875) Prec@1 38.672 (47.576) Prec@5 65.625 (72.986)
Epoch: [100][4060/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.3358 (2.2876) Prec@1 48.047 (47.575) Prec@5 71.875 (72.985)
Epoch: [100][4070/5005] Time 0.202 (0.210) Data 0.048 (0.047) Loss 2.3641 (2.2876) Prec@1 50.391 (47.579) Prec@5 71.875 (72.985)
Epoch: [100][4080/5005] Time 0.204 (0.210) Data 0.040 (0.047) Loss 2.3658 (2.2876) Prec@1 42.969 (47.578) Prec@5 70.703 (72.984)
Epoch: [100][4090/5005] Time 0.208 (0.210) Data 0.047 (0.047) Loss 2.3286 (2.2875) Prec@1 43.750 (47.579) Prec@5 72.266 (72.984)
Epoch: [100][4100/5005] Time 0.215 (0.210) Data 0.042 (0.047) Loss 2.3275 (2.2874) Prec@1 44.531 (47.580) Prec@5 72.266 (72.985)
Epoch: [100][4110/5005] Time 0.217 (0.210) Data 0.047 (0.047) Loss 2.3344 (2.2874) Prec@1 46.094 (47.581) Prec@5 73.047 (72.984)
Epoch: [100][4120/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.3857 (2.2873) Prec@1 46.875 (47.582) Prec@5 69.531 (72.986)
Epoch: [100][4130/5005] Time 0.209 (0.210) Data 0.041 (0.047) Loss 2.5186 (2.2872) Prec@1 42.578 (47.582) Prec@5 67.969 (72.986)
Epoch: [100][4140/5005] Time 0.214 (0.210) Data 0.041 (0.047) Loss 2.3949 (2.2872) Prec@1 46.094 (47.584) Prec@5 70.312 (72.987)
Epoch: [100][4150/5005] Time 0.206 (0.210) Data 0.047 (0.047) Loss 2.4436 (2.2872) Prec@1 45.312 (47.583) Prec@5 69.922 (72.987)
Epoch: [100][4160/5005] Time 0.210 (0.210) Data 0.042 (0.047) Loss 2.2227 (2.2873) Prec@1 46.094 (47.580) Prec@5 73.047 (72.984)
Epoch: [100][4170/5005] Time 0.204 (0.210) Data 0.061 (0.047) Loss 2.2390 (2.2871) Prec@1 46.484 (47.582) Prec@5 74.609 (72.985)
Epoch: [100][4180/5005] Time 0.215 (0.210) Data 0.045 (0.047) Loss 2.1682 (2.2870) Prec@1 49.609 (47.583) Prec@5 77.344 (72.987)
Epoch: [100][4190/5005] Time 0.216 (0.210) Data 0.051 (0.047) Loss 2.1106 (2.2870) Prec@1 49.609 (47.581) Prec@5 73.438 (72.989)
Epoch: [100][4200/5005] Time 0.203 (0.210) Data 0.046 (0.047) Loss 2.1317 (2.2871) Prec@1 47.656 (47.581) Prec@5 75.781 (72.987)
Epoch: [100][4210/5005] Time 0.208 (0.210) Data 0.045 (0.047) Loss 2.1614 (2.2870) Prec@1 47.266 (47.582) Prec@5 76.953 (72.987)
Epoch: [100][4220/5005] Time 0.202 (0.210) Data 0.060 (0.047) Loss 2.4973 (2.2871) Prec@1 41.797 (47.579) Prec@5 68.359 (72.985)
Epoch: [100][4230/5005] Time 0.200 (0.210) Data 0.044 (0.047) Loss 2.4133 (2.2871) Prec@1 42.578 (47.578) Prec@5 68.750 (72.986)
Epoch: [100][4240/5005] Time 0.210 (0.210) Data 0.069 (0.047) Loss 2.0927 (2.2871) Prec@1 49.609 (47.576) Prec@5 75.000 (72.987)
Epoch: [100][4250/5005] Time 0.212 (0.210) Data 0.045 (0.047) Loss 2.1664 (2.2869) Prec@1 50.391 (47.581) Prec@5 74.219 (72.989)
Epoch: [100][4260/5005] Time 0.197 (0.210) Data 0.050 (0.047) Loss 2.3593 (2.2869) Prec@1 41.406 (47.578) Prec@5 71.094 (72.988)
Epoch: [100][4270/5005] Time 0.210 (0.210) Data 0.040 (0.047) Loss 2.4925 (2.2870) Prec@1 44.531 (47.578) Prec@5 72.656 (72.988)
Epoch: [100][4280/5005] Time 0.200 (0.210) Data 0.051 (0.047) Loss 2.3964 (2.2870) Prec@1 45.312 (47.580) Prec@5 69.531 (72.986)
Epoch: [100][4290/5005] Time 0.211 (0.210) Data 0.040 (0.047) Loss 2.4228 (2.2870) Prec@1 46.875 (47.577) Prec@5 72.656 (72.985)
Epoch: [100][4300/5005] Time 0.206 (0.210) Data 0.044 (0.047) Loss 2.0513 (2.2868) Prec@1 51.953 (47.578) Prec@5 76.562 (72.989)
Epoch: [100][4310/5005] Time 0.210 (0.210) Data 0.042 (0.047) Loss 2.1251 (2.2867) Prec@1 50.781 (47.581) Prec@5 73.047 (72.990)
Epoch: [100][4320/5005] Time 0.201 (0.210) Data 0.047 (0.047) Loss 2.1521 (2.2868) Prec@1 53.125 (47.583) Prec@5 74.609 (72.991)
Epoch: [100][4330/5005] Time 0.214 (0.210) Data 0.044 (0.047) Loss 2.2491 (2.2868) Prec@1 46.094 (47.584) Prec@5 75.781 (72.992)
Epoch: [100][4340/5005] Time 0.214 (0.210) Data 0.043 (0.047) Loss 2.3002 (2.2868) Prec@1 48.438 (47.583) Prec@5 71.484 (72.992)
Epoch: [100][4350/5005] Time 0.207 (0.210) Data 0.046 (0.047) Loss 2.3097 (2.2867) Prec@1 47.656 (47.586) Prec@5 71.484 (72.994)
Epoch: [100][4360/5005] Time 0.210 (0.210) Data 0.043 (0.047) Loss 2.1076 (2.2866) Prec@1 50.781 (47.587) Prec@5 76.172 (72.997)
Epoch: [100][4370/5005] Time 0.211 (0.210) Data 0.046 (0.047) Loss 2.2475 (2.2865) Prec@1 48.438 (47.587) Prec@5 73.047 (72.997)
Epoch: [100][4380/5005] Time 0.218 (0.210) Data 0.042 (0.047) Loss 2.3417 (2.2865) Prec@1 44.922 (47.586) Prec@5 71.094 (72.997)
Epoch: [100][4390/5005] Time 0.215 (0.210) Data 0.043 (0.047) Loss 2.3929 (2.2864) Prec@1 47.266 (47.590) Prec@5 69.531 (72.998)
Epoch: [100][4400/5005] Time 0.212 (0.210) Data 0.049 (0.047) Loss 2.1646 (2.2864) Prec@1 49.609 (47.592) Prec@5 76.172 (72.998)
Epoch: [100][4410/5005] Time 0.201 (0.210) Data 0.048 (0.047) Loss 2.2137 (2.2863) Prec@1 43.750 (47.592) Prec@5 75.391 (73.000)
Epoch: [100][4420/5005] Time 0.200 (0.210) Data 0.041 (0.047) Loss 2.0858 (2.2863) Prec@1 52.344 (47.589) Prec@5 75.781 (73.001)
Epoch: [100][4430/5005] Time 0.213 (0.210) Data 0.046 (0.047) Loss 2.1765 (2.2861) Prec@1 49.219 (47.595) Prec@5 72.266 (73.004)
Epoch: [100][4440/5005] Time 0.204 (0.210) Data 0.047 (0.047) Loss 2.4865 (2.2861) Prec@1 45.312 (47.596) Prec@5 68.750 (73.003)
Epoch: [100][4450/5005] Time 0.204 (0.210) Data 0.050 (0.047) Loss 2.0403 (2.2860) Prec@1 50.391 (47.598) Prec@5 80.469 (73.004)
Epoch: [100][4460/5005] Time 0.206 (0.210) Data 0.046 (0.047) Loss 2.2074 (2.2859) Prec@1 50.781 (47.603) Prec@5 73.438 (73.007)
Epoch: [100][4470/5005] Time 0.204 (0.210) Data 0.040 (0.047) Loss 2.2452 (2.2859) Prec@1 44.141 (47.601) Prec@5 73.047 (73.007)
Epoch: [100][4480/5005] Time 0.205 (0.210) Data 0.046 (0.047) Loss 2.1614 (2.2860) Prec@1 50.000 (47.600) Prec@5 71.875 (73.003)
Epoch: [100][4490/5005] Time 0.213 (0.210) Data 0.049 (0.047) Loss 2.2576 (2.2861) Prec@1 46.875 (47.599) Prec@5 72.656 (73.004)
Epoch: [100][4500/5005] Time 0.202 (0.210) Data 0.044 (0.047) Loss 2.1883 (2.2861) Prec@1 45.312 (47.598) Prec@5 75.781 (73.005)
Epoch: [100][4510/5005] Time 0.207 (0.209) Data 0.050 (0.047) Loss 2.0137 (2.2861) Prec@1 52.344 (47.598) Prec@5 78.125 (73.004)
Epoch: [100][4520/5005] Time 0.210 (0.209) Data 0.042 (0.047) Loss 2.0920 (2.2858) Prec@1 54.688 (47.604) Prec@5 77.344 (73.007)
Epoch: [100][4530/5005] Time 0.210 (0.209) Data 0.044 (0.047) Loss 2.2621 (2.2859) Prec@1 49.219 (47.606) Prec@5 76.953 (73.007)
Epoch: [100][4540/5005] Time 0.217 (0.209) Data 0.043 (0.047) Loss 2.3145 (2.2860) Prec@1 46.094 (47.603) Prec@5 75.781 (73.005)
Epoch: [100][4550/5005] Time 0.208 (0.209) Data 0.045 (0.047) Loss 2.2677 (2.2860) Prec@1 48.828 (47.604) Prec@5 72.266 (73.004)
Epoch: [100][4560/5005] Time 0.205 (0.209) Data 0.060 (0.047) Loss 2.3534 (2.2860) Prec@1 50.781 (47.605) Prec@5 70.312 (73.002)
Epoch: [100][4570/5005] Time 0.212 (0.209) Data 0.045 (0.047) Loss 2.2097 (2.2859) Prec@1 48.438 (47.606) Prec@5 72.656 (73.005)
Epoch: [100][4580/5005] Time 0.207 (0.209) Data 0.066 (0.047) Loss 2.4247 (2.2859) Prec@1 44.141 (47.607) Prec@5 69.141 (73.005)
Epoch: [100][4590/5005] Time 0.204 (0.209) Data 0.050 (0.047) Loss 2.1575 (2.2858) Prec@1 53.516 (47.610) Prec@5 75.000 (73.006)
Epoch: [100][4600/5005] Time 0.198 (0.209) Data 0.046 (0.047) Loss 2.0204 (2.2858) Prec@1 55.469 (47.614) Prec@5 78.516 (73.005)
Epoch: [100][4610/5005] Time 0.212 (0.209) Data 0.048 (0.047) Loss 2.0601 (2.2857) Prec@1 46.094 (47.611) Prec@5 76.562 (73.007)
Epoch: [100][4620/5005] Time 0.197 (0.209) Data 0.046 (0.047) Loss 2.2105 (2.2857) Prec@1 50.781 (47.612) Prec@5 75.391 (73.005)
Epoch: [100][4630/5005] Time 0.208 (0.209) Data 0.058 (0.047) Loss 2.0450 (2.2856) Prec@1 54.688 (47.613) Prec@5 78.516 (73.009)
Epoch: [100][4640/5005] Time 0.200 (0.209) Data 0.049 (0.047) Loss 2.2773 (2.2855) Prec@1 49.219 (47.614) Prec@5 71.484 (73.009)
Epoch: [100][4650/5005] Time 0.205 (0.209) Data 0.051 (0.047) Loss 2.4659 (2.2855) Prec@1 42.188 (47.612) Prec@5 69.531 (73.009)
Epoch: [100][4660/5005] Time 0.194 (0.209) Data 0.046 (0.047) Loss 2.5190 (2.2855) Prec@1 41.016 (47.612) Prec@5 66.797 (73.009)
Epoch: [100][4670/5005] Time 0.197 (0.209) Data 0.048 (0.047) Loss 2.1666 (2.2854) Prec@1 48.047 (47.615) Prec@5 74.609 (73.012)
Epoch: [100][4680/5005] Time 0.206 (0.209) Data 0.050 (0.047) Loss 2.1895 (2.2854) Prec@1 47.266 (47.615) Prec@5 77.344 (73.011)
Epoch: [100][4690/5005] Time 0.201 (0.209) Data 0.046 (0.047) Loss 2.2452 (2.2853) Prec@1 50.391 (47.616) Prec@5 72.656 (73.013)
Epoch: [100][4700/5005] Time 0.201 (0.209) Data 0.048 (0.047) Loss 2.1885 (2.2853) Prec@1 48.828 (47.617) Prec@5 75.391 (73.015)
Epoch: [100][4710/5005] Time 0.223 (0.209) Data 0.045 (0.047) Loss 2.1794 (2.2851) Prec@1 48.828 (47.621) Prec@5 76.562 (73.019)
Epoch: [100][4720/5005] Time 0.205 (0.209) Data 0.060 (0.047) Loss 2.0665 (2.2851) Prec@1 53.125 (47.621) Prec@5 76.953 (73.020)
Epoch: [100][4730/5005] Time 0.204 (0.209) Data 0.054 (0.047) Loss 2.3092 (2.2852) Prec@1 46.875 (47.619) Prec@5 73.438 (73.018)
Epoch: [100][4740/5005] Time 0.211 (0.209) Data 0.043 (0.047) Loss 2.1462 (2.2851) Prec@1 47.266 (47.621) Prec@5 73.438 (73.018)
Epoch: [100][4750/5005] Time 0.201 (0.209) Data 0.043 (0.047) Loss 2.1892 (2.2851) Prec@1 47.266 (47.623) Prec@5 72.656 (73.018)
Epoch: [100][4760/5005] Time 0.209 (0.209) Data 0.047 (0.047) Loss 2.5294 (2.2850) Prec@1 44.531 (47.627) Prec@5 71.094 (73.019)
Epoch: [100][4770/5005] Time 0.215 (0.209) Data 0.046 (0.047) Loss 2.2584 (2.2849) Prec@1 48.828 (47.627) Prec@5 73.047 (73.021)
Epoch: [100][4780/5005] Time 0.216 (0.209) Data 0.046 (0.047) Loss 2.3156 (2.2849) Prec@1 47.266 (47.630) Prec@5 70.312 (73.019)
Epoch: [100][4790/5005] Time 0.208 (0.209) Data 0.046 (0.047) Loss 2.5475 (2.2850) Prec@1 45.312 (47.630) Prec@5 67.969 (73.018)
Epoch: [100][4800/5005] Time 0.204 (0.209) Data 0.047 (0.047) Loss 2.4272 (2.2849) Prec@1 40.234 (47.628) Prec@5 71.094 (73.020)
Epoch: [100][4810/5005] Time 0.207 (0.209) Data 0.051 (0.047) Loss 2.4165 (2.2848) Prec@1 44.922 (47.630) Prec@5 69.922 (73.021)
Epoch: [100][4820/5005] Time 0.212 (0.209) Data 0.046 (0.047) Loss 2.3457 (2.2847) Prec@1 46.094 (47.633) Prec@5 68.750 (73.023)
Epoch: [100][4830/5005] Time 0.205 (0.209) Data 0.063 (0.047) Loss 2.3184 (2.2845) Prec@1 48.438 (47.634) Prec@5 69.922 (73.024)
Epoch: [100][4840/5005] Time 0.210 (0.209) Data 0.046 (0.047) Loss 2.1603 (2.2846) Prec@1 50.000 (47.632) Prec@5 73.828 (73.022)
Epoch: [100][4850/5005] Time 0.212 (0.209) Data 0.042 (0.047) Loss 2.3270 (2.2848) Prec@1 42.969 (47.627) Prec@5 68.359 (73.019)
Epoch: [100][4860/5005] Time 0.202 (0.209) Data 0.039 (0.047) Loss 2.3644 (2.2847) Prec@1 46.484 (47.630) Prec@5 71.484 (73.020)
Epoch: [100][4870/5005] Time 0.209 (0.209) Data 0.043 (0.047) Loss 2.2276 (2.2847) Prec@1 52.734 (47.632) Prec@5 73.438 (73.020)
Epoch: [100][4880/5005] Time 0.201 (0.209) Data 0.041 (0.047) Loss 2.2629 (2.2847) Prec@1 47.266 (47.635) Prec@5 75.391 (73.021)
Epoch: [100][4890/5005] Time 0.213 (0.209) Data 0.042 (0.047) Loss 2.4026 (2.2846) Prec@1 46.094 (47.635) Prec@5 71.484 (73.022)
Epoch: [100][4900/5005] Time 0.200 (0.209) Data 0.043 (0.047) Loss 2.1468 (2.2845) Prec@1 47.266 (47.637) Prec@5 75.000 (73.024)
Epoch: [100][4910/5005] Time 0.214 (0.209) Data 0.043 (0.047) Loss 2.2811 (2.2843) Prec@1 45.703 (47.640) Prec@5 75.000 (73.027)
Epoch: [100][4920/5005] Time 0.202 (0.209) Data 0.045 (0.047) Loss 2.1612 (2.2842) Prec@1 49.219 (47.641) Prec@5 75.000 (73.028)
Epoch: [100][4930/5005] Time 0.209 (0.209) Data 0.051 (0.047) Loss 2.4212 (2.2841) Prec@1 47.656 (47.643) Prec@5 71.094 (73.032)
Epoch: [100][4940/5005] Time 0.208 (0.209) Data 0.056 (0.047) Loss 2.2648 (2.2841) Prec@1 50.781 (47.644) Prec@5 71.875 (73.029)
Epoch: [100][4950/5005] Time 0.212 (0.209) Data 0.057 (0.047) Loss 1.9986 (2.2842) Prec@1 47.656 (47.642) Prec@5 78.906 (73.029)
Epoch: [100][4960/5005] Time 0.208 (0.209) Data 0.042 (0.047) Loss 2.3294 (2.2841) Prec@1 50.000 (47.647) Prec@5 74.609 (73.031)
Epoch: [100][4970/5005] Time 0.205 (0.209) Data 0.045 (0.047) Loss 2.4452 (2.2841) Prec@1 43.359 (47.645) Prec@5 70.703 (73.033)
Epoch: [100][4980/5005] Time 0.208 (0.209) Data 0.042 (0.047) Loss 2.1934 (2.2839) Prec@1 52.344 (47.647) Prec@5 76.562 (73.037)
Epoch: [100][4990/5005] Time 0.201 (0.209) Data 0.026 (0.047) Loss 2.3086 (2.2839) Prec@1 42.969 (47.648) Prec@5 70.312 (73.037)
Epoch: [100][5000/5005] Time 0.207 (0.209) Data 0.022 (0.047) Loss 2.2858 (2.2838) Prec@1 46.094 (47.648) Prec@5 74.219 (73.037)
Test: [0/196] Time 1.700 (1.700) Loss 2.4085 (2.4085) Prec@1 47.656 (47.656) Prec@5 71.094 (71.094)
Test: [10/196] Time 0.043 (0.326) Loss 2.4825 (2.5467) Prec@1 44.922 (43.643) Prec@5 71.094 (69.886)
Test: [20/196] Time 0.321 (0.246) Loss 2.4435 (2.5516) Prec@1 44.922 (43.304) Prec@5 71.094 (69.699)
Test: [30/196] Time 0.305 (0.209) Loss 2.4543 (2.5543) Prec@1 44.531 (43.246) Prec@5 71.094 (69.594)
Test: [40/196] Time 0.045 (0.205) Loss 2.2879 (2.5482) Prec@1 50.781 (43.769) Prec@5 73.438 (69.703)
Test: [50/196] Time 0.042 (0.196) Loss 2.6655 (2.5514) Prec@1 44.531 (43.796) Prec@5 69.531 (69.684)
Test: [60/196] Time 0.047 (0.199) Loss 2.4745 (2.5371) Prec@1 47.656 (44.134) Prec@5 70.312 (69.736)
Test: [70/196] Time 0.045 (0.196) Loss 2.4593 (2.5316) Prec@1 47.266 (44.273) Prec@5 69.141 (69.757)
Test: [80/196] Time 0.172 (0.201) Loss 2.4365 (2.5375) Prec@1 51.172 (44.285) Prec@5 75.000 (69.676)
Test: [90/196] Time 0.044 (0.188) Loss 2.6379 (2.5379) Prec@1 45.312 (44.325) Prec@5 67.578 (69.669)
Test: [100/196] Time 0.042 (0.190) Loss 2.5700 (2.5347) Prec@1 45.312 (44.578) Prec@5 67.578 (69.647)
Test: [110/196] Time 0.042 (0.188) Loss 2.7398 (2.5371) Prec@1 42.188 (44.616) Prec@5 66.406 (69.647)
Test: [120/196] Time 0.043 (0.185) Loss 2.3796 (2.5347) Prec@1 45.312 (44.670) Prec@5 72.266 (69.647)
Test: [130/196] Time 0.042 (0.187) Loss 2.1975 (2.5308) Prec@1 48.047 (44.677) Prec@5 75.781 (69.740)
Test: [140/196] Time 0.522 (0.187) Loss 2.3900 (2.5336) Prec@1 50.000 (44.598) Prec@5 69.141 (69.653)
Test: [150/196] Time 0.044 (0.183) Loss 2.2103 (2.5324) Prec@1 47.656 (44.539) Prec@5 76.953 (69.718)
Test: [160/196] Time 0.196 (0.180) Loss 2.4918 (2.5307) Prec@1 48.047 (44.514) Prec@5 67.969 (69.713)
Test: [170/196] Time 0.043 (0.181) Loss 2.4274 (2.5330) Prec@1 45.312 (44.470) Prec@5 72.656 (69.664)
Test: [180/196] Time 0.042 (0.179) Loss 2.7120 (2.5378) Prec@1 39.844 (44.380) Prec@5 66.016 (69.529)
Test: [190/196] Time 0.046 (0.180) Loss 2.7712 (2.5411) Prec@1 41.406 (44.345) Prec@5 64.062 (69.404)
* Prec@1 44.360 Prec@5 69.422
Learning rate: 1e-07
Epoch: [101][0/5005] Time 1.114 (1.114) Data 1.014 (1.014) Loss 2.2062 (2.2062) Prec@1 48.047 (48.047) Prec@5 73.438 (73.438)
Epoch: [101][10/5005] Time 0.200 (0.291) Data 0.051 (0.136) Loss 2.1997 (2.3087) Prec@1 48.828 (46.591) Prec@5 75.000 (72.408)
Epoch: [101][20/5005] Time 0.205 (0.250) Data 0.040 (0.092) Loss 2.4317 (2.3202) Prec@1 46.094 (46.038) Prec@5 68.750 (72.377)
Epoch: [101][30/5005] Time 0.200 (0.234) Data 0.047 (0.078) Loss 2.2848 (2.2819) Prec@1 48.828 (46.837) Prec@5 71.875 (72.807)
Epoch: [101][40/5005] Time 0.202 (0.227) Data 0.064 (0.072) Loss 2.1180 (2.2894) Prec@1 51.562 (47.075) Prec@5 76.172 (73.028)
Epoch: [101][50/5005] Time 0.209 (0.222) Data 0.044 (0.067) Loss 2.2280 (2.2916) Prec@1 44.922 (46.913) Prec@5 78.125 (72.993)
Epoch: [101][60/5005] Time 0.196 (0.219) Data 0.060 (0.064) Loss 2.2504 (2.2930) Prec@1 47.656 (47.009) Prec@5 75.391 (72.906)
Epoch: [101][70/5005] Time 0.205 (0.217) Data 0.045 (0.062) Loss 2.3237 (2.3057) Prec@1 43.359 (46.831) Prec@5 73.047 (72.744)
Epoch: [101][80/5005] Time 0.208 (0.215) Data 0.044 (0.059) Loss 2.0957 (2.3014) Prec@1 50.781 (46.971) Prec@5 80.078 (72.878)
Epoch: [101][90/5005] Time 0.204 (0.214) Data 0.045 (0.058) Loss 2.3425 (2.2998) Prec@1 45.312 (47.064) Prec@5 71.875 (72.957)
Epoch: [101][100/5005] Time 0.211 (0.213) Data 0.046 (0.057) Loss 2.1084 (2.2996) Prec@1 48.828 (47.022) Prec@5 76.953 (72.923)
Epoch: [101][110/5005] Time 0.207 (0.212) Data 0.043 (0.057) Loss 2.2936 (2.3010) Prec@1 49.609 (47.111) Prec@5 71.875 (72.906)
Epoch: [101][120/5005] Time 0.201 (0.211) Data 0.058 (0.056) Loss 2.4058 (2.3068) Prec@1 41.406 (47.098) Prec@5 73.438 (72.821)
Epoch: [101][130/5005] Time 0.190 (0.210) Data 0.048 (0.056) Loss 2.5121 (2.3067) Prec@1 46.484 (47.230) Prec@5 70.703 (72.826)
Epoch: [101][140/5005] Time 0.204 (0.209) Data 0.060 (0.056) Loss 2.3339 (2.3034) Prec@1 45.703 (47.238) Prec@5 72.656 (72.889)
Epoch: [101][150/5005] Time 0.205 (0.209) Data 0.043 (0.055) Loss 2.5366 (2.3055) Prec@1 42.969 (47.237) Prec@5 69.531 (72.824)
Epoch: [101][160/5005] Time 0.220 (0.209) Data 0.042 (0.055) Loss 2.2003 (2.3035) Prec@1 48.438 (47.334) Prec@5 74.219 (72.884)
Epoch: [101][170/5005] Time 0.224 (0.209) Data 0.045 (0.054) Loss 2.2784 (2.3025) Prec@1 47.656 (47.320) Prec@5 72.266 (72.869)
Epoch: [101][180/5005] Time 0.222 (0.210) Data 0.042 (0.054) Loss 2.4593 (2.3022) Prec@1 47.266 (47.376) Prec@5 67.578 (72.885)
Epoch: [101][190/5005] Time 0.215 (0.210) Data 0.044 (0.053) Loss 2.4209 (2.3065) Prec@1 44.531 (47.307) Prec@5 71.875 (72.832)
Epoch: [101][200/5005] Time 0.219 (0.211) Data 0.058 (0.053) Loss 2.7086 (2.3096) Prec@1 38.281 (47.277) Prec@5 70.703 (72.800)
Epoch: [101][210/5005] Time 0.224 (0.211) Data 0.042 (0.053) Loss 2.2068 (2.3090) Prec@1 49.219 (47.295) Prec@5 74.609 (72.795)
Epoch: [101][220/5005] Time 0.218 (0.211) Data 0.043 (0.053) Loss 2.3276 (2.3084) Prec@1 48.828 (47.317) Prec@5 73.438 (72.798)
Epoch: [101][230/5005] Time 0.215 (0.212) Data 0.044 (0.053) Loss 2.3528 (2.3081) Prec@1 43.750 (47.335) Prec@5 71.484 (72.805)
Epoch: [101][240/5005] Time 0.218 (0.212) Data 0.043 (0.052) Loss 2.2122 (2.3077) Prec@1 49.219 (47.303) Prec@5 75.000 (72.812)
Epoch: [101][250/5005] Time 0.222 (0.212) Data 0.043 (0.052) Loss 2.3424 (2.3061) Prec@1 46.484 (47.340) Prec@5 75.000 (72.874)
Epoch: [101][260/5005] Time 0.218 (0.212) Data 0.043 (0.052) Loss 2.1900 (2.3055) Prec@1 47.266 (47.339) Prec@5 72.266 (72.839)
Epoch: [101][270/5005] Time 0.215 (0.212) Data 0.044 (0.052) Loss 2.2993 (2.3060) Prec@1 44.922 (47.302) Prec@5 71.484 (72.832)
Epoch: [101][280/5005] Time 0.212 (0.213) Data 0.042 (0.051) Loss 2.7745 (2.3079) Prec@1 40.625 (47.242) Prec@5 66.016 (72.804)
Epoch: [101][290/5005] Time 0.215 (0.213) Data 0.044 (0.051) Loss 2.1248 (2.3087) Prec@1 49.219 (47.208) Prec@5 76.953 (72.776)
Epoch: [101][300/5005] Time 0.213 (0.213) Data 0.043 (0.051) Loss 2.1312 (2.3078) Prec@1 51.562 (47.250) Prec@5 75.391 (72.782)
Epoch: [101][310/5005] Time 0.217 (0.213) Data 0.043 (0.051) Loss 2.2154 (2.3067) Prec@1 48.828 (47.246) Prec@5 76.953 (72.827)
Epoch: [101][320/5005] Time 0.204 (0.213) Data 0.042 (0.051) Loss 2.5826 (2.3081) Prec@1 44.531 (47.279) Prec@5 69.531 (72.824)
Epoch: [101][330/5005] Time 0.216 (0.213) Data 0.044 (0.050) Loss 2.1371 (2.3060) Prec@1 51.172 (47.270) Prec@5 76.953 (72.842)
Epoch: [101][340/5005] Time 0.201 (0.213) Data 0.040 (0.050) Loss 2.4586 (2.3102) Prec@1 44.141 (47.198) Prec@5 72.266 (72.769)
Epoch: [101][350/5005] Time 0.210 (0.213) Data 0.042 (0.050) Loss 2.5271 (2.3099) Prec@1 39.453 (47.202) Prec@5 69.531 (72.766)
Epoch: [101][360/5005] Time 0.216 (0.213) Data 0.048 (0.050) Loss 2.3473 (2.3107) Prec@1 50.000 (47.157) Prec@5 70.703 (72.721)
Epoch: [101][370/5005] Time 0.216 (0.213) Data 0.042 (0.050) Loss 2.3027 (2.3087) Prec@1 48.438 (47.194) Prec@5 71.875 (72.733)
Epoch: [101][380/5005] Time 0.205 (0.213) Data 0.043 (0.050) Loss 2.4370 (2.3092) Prec@1 46.094 (47.188) Prec@5 71.094 (72.719)
Epoch: [101][390/5005] Time 0.214 (0.213) Data 0.043 (0.050) Loss 2.2733 (2.3098) Prec@1 48.828 (47.196) Prec@5 75.391 (72.716)
Epoch: [101][400/5005] Time 0.210 (0.213) Data 0.046 (0.050) Loss 2.3047 (2.3091) Prec@1 46.094 (47.201) Prec@5 73.047 (72.723)
Epoch: [101][410/5005] Time 0.214 (0.213) Data 0.045 (0.050) Loss 2.1748 (2.3089) Prec@1 49.219 (47.225) Prec@5 76.562 (72.728)
Epoch: [101][420/5005] Time 0.210 (0.213) Data 0.056 (0.050) Loss 2.3812 (2.3087) Prec@1 45.703 (47.228) Prec@5 73.828 (72.733)
Epoch: [101][430/5005] Time 0.206 (0.213) Data 0.048 (0.050) Loss 2.2696 (2.3084) Prec@1 49.219 (47.207) Prec@5 78.125 (72.741)
Epoch: [101][440/5005] Time 0.215 (0.213) Data 0.048 (0.049) Loss 2.2107 (2.3079) Prec@1 53.125 (47.208) Prec@5 75.000 (72.761)
Epoch: [101][450/5005] Time 0.209 (0.213) Data 0.043 (0.049) Loss 2.2937 (2.3091) Prec@1 42.578 (47.180) Prec@5 73.438 (72.752)
Epoch: [101][460/5005] Time 0.217 (0.213) Data 0.041 (0.049) Loss 2.2204 (2.3099) Prec@1 47.266 (47.170) Prec@5 73.047 (72.747)
Epoch: [101][470/5005] Time 0.214 (0.213) Data 0.043 (0.049) Loss 2.3540 (2.3112) Prec@1 44.922 (47.163) Prec@5 72.656 (72.733)
Epoch: [101][480/5005] Time 0.218 (0.213) Data 0.043 (0.049) Loss 2.2805 (2.3114) Prec@1 48.828 (47.151) Prec@5 71.875 (72.729)
Epoch: [101][490/5005] Time 0.206 (0.213) Data 0.047 (0.049) Loss 2.3086 (2.3117) Prec@1 48.047 (47.149) Prec@5 72.656 (72.706)
Epoch: [101][500/5005] Time 0.208 (0.213) Data 0.045 (0.049) Loss 2.4898 (2.3138) Prec@1 43.750 (47.135) Prec@5 71.094 (72.680)
Epoch: [101][510/5005] Time 0.198 (0.213) Data 0.052 (0.049) Loss 2.6650 (2.3142) Prec@1 36.328 (47.131) Prec@5 64.453 (72.659)
Epoch: [101][520/5005] Time 0.205 (0.213) Data 0.045 (0.049) Loss 2.3153 (2.3137) Prec@1 48.438 (47.145) Prec@5 70.312 (72.667)
Epoch: [101][530/5005] Time 0.211 (0.213) Data 0.044 (0.049) Loss 2.2606 (2.3141) Prec@1 49.609 (47.145) Prec@5 71.094 (72.659)
Epoch: [101][540/5005] Time 0.219 (0.213) Data 0.043 (0.049) Loss 2.5494 (2.3151) Prec@1 44.922 (47.151) Prec@5 69.922 (72.639)
Epoch: [101][550/5005] Time 0.217 (0.213) Data 0.043 (0.049) Loss 2.3224 (2.3142) Prec@1 44.922 (47.167) Prec@5 73.438 (72.645)
Epoch: [101][560/5005] Time 0.217 (0.213) Data 0.044 (0.048) Loss 2.3235 (2.3141) Prec@1 48.828 (47.186) Prec@5 72.266 (72.652)
Epoch: [101][570/5005] Time 0.217 (0.213) Data 0.043 (0.048) Loss 2.3141 (2.3144) Prec@1 48.828 (47.188) Prec@5 70.703 (72.649)
Epoch: [101][580/5005] Time 0.214 (0.213) Data 0.043 (0.048) Loss 2.2971 (2.3134) Prec@1 47.266 (47.199) Prec@5 74.219 (72.662)
Epoch: [101][590/5005] Time 0.213 (0.213) Data 0.042 (0.048) Loss 2.3815 (2.3139) Prec@1 47.266 (47.201) Prec@5 71.094 (72.640)
Epoch: [101][600/5005] Time 0.215 (0.213) Data 0.042 (0.048) Loss 2.3368 (2.3152) Prec@1 48.438 (47.190) Prec@5 72.656 (72.622)
Epoch: [101][610/5005] Time 0.206 (0.213) Data 0.043 (0.048) Loss 2.2301 (2.3149) Prec@1 46.094 (47.199) Prec@5 76.172 (72.627)
Epoch: [101][620/5005] Time 0.213 (0.213) Data 0.043 (0.048) Loss 2.3604 (2.3145) Prec@1 48.438 (47.213) Prec@5 72.656 (72.632)
Epoch: [101][630/5005] Time 0.218 (0.213) Data 0.057 (0.048) Loss 2.5483 (2.3143) Prec@1 44.922 (47.220) Prec@5 67.188 (72.635)
Epoch: [101][640/5005] Time 0.215 (0.213) Data 0.043 (0.048) Loss 2.2224 (2.3139) Prec@1 49.219 (47.232) Prec@5 74.609 (72.631)
Epoch: [101][650/5005] Time 0.216 (0.213) Data 0.042 (0.048) Loss 2.3587 (2.3141) Prec@1 42.188 (47.230) Prec@5 71.094 (72.633)
Epoch: [101][660/5005] Time 0.213 (0.213) Data 0.043 (0.048) Loss 2.3935 (2.3130) Prec@1 44.531 (47.248) Prec@5 71.875 (72.656)
Epoch: [101][670/5005] Time 0.221 (0.213) Data 0.040 (0.048) Loss 2.4927 (2.3128) Prec@1 42.969 (47.257) Prec@5 71.094 (72.650)
Epoch: [101][680/5005] Time 0.207 (0.213) Data 0.043 (0.048) Loss 2.1011 (2.3130) Prec@1 53.125 (47.247) Prec@5 77.734 (72.642)
Epoch: [101][690/5005] Time 0.208 (0.213) Data 0.041 (0.047) Loss 2.0819 (2.3120) Prec@1 52.734 (47.262) Prec@5 79.688 (72.653)
Epoch: [101][700/5005] Time 0.203 (0.213) Data 0.044 (0.047) Loss 2.3895 (2.3116) Prec@1 47.266 (47.263) Prec@5 70.312 (72.660)
Epoch: [101][710/5005] Time 0.214 (0.213) Data 0.044 (0.047) Loss 2.0127 (2.3110) Prec@1 51.562 (47.276) Prec@5 78.906 (72.667)
Epoch: [101][720/5005] Time 0.213 (0.213) Data 0.044 (0.047) Loss 2.2012 (2.3104) Prec@1 42.969 (47.263) Prec@5 75.391 (72.686)
Epoch: [101][730/5005] Time 0.195 (0.213) Data 0.044 (0.047) Loss 2.3299 (2.3101) Prec@1 49.219 (47.278) Prec@5 72.656 (72.685)
Epoch: [101][740/5005] Time 0.210 (0.213) Data 0.043 (0.047) Loss 2.2451 (2.3100) Prec@1 48.047 (47.283) Prec@5 72.656 (72.677)
Epoch: [101][750/5005] Time 0.213 (0.213) Data 0.044 (0.047) Loss 2.1884 (2.3096) Prec@1 44.922 (47.271) Prec@5 77.734 (72.688)
Epoch: [101][760/5005] Time 0.198 (0.213) Data 0.045 (0.047) Loss 2.4059 (2.3098) Prec@1 43.359 (47.273) Prec@5 72.266 (72.689)
Epoch: [101][770/5005] Time 0.209 (0.213) Data 0.048 (0.047) Loss 2.2728 (2.3082) Prec@1 46.875 (47.305) Prec@5 71.484 (72.710)
Epoch: [101][780/5005] Time 0.211 (0.213) Data 0.043 (0.047) Loss 2.3930 (2.3080) Prec@1 47.266 (47.290) Prec@5 67.969 (72.702)
Epoch: [101][790/5005] Time 0.200 (0.212) Data 0.064 (0.047) Loss 2.3241 (2.3079) Prec@1 46.484 (47.296) Prec@5 71.094 (72.716)
Epoch: [101][800/5005] Time 0.213 (0.212) Data 0.045 (0.047) Loss 2.1932 (2.3074) Prec@1 48.438 (47.313) Prec@5 75.781 (72.727)
Epoch: [101][810/5005] Time 0.208 (0.212) Data 0.055 (0.047) Loss 2.2825 (2.3071) Prec@1 48.438 (47.325) Prec@5 75.781 (72.735)
Epoch: [101][820/5005] Time 0.208 (0.212) Data 0.046 (0.048) Loss 2.3337 (2.3075) Prec@1 46.875 (47.311) Prec@5 74.609 (72.730)
Epoch: [101][830/5005] Time 0.211 (0.212) Data 0.042 (0.047) Loss 2.2493 (2.3075) Prec@1 48.828 (47.300) Prec@5 74.219 (72.724)
Epoch: [101][840/5005] Time 0.212 (0.212) Data 0.043 (0.047) Loss 2.1820 (2.3075) Prec@1 48.438 (47.313) Prec@5 73.438 (72.723)
Epoch: [101][850/5005] Time 0.213 (0.212) Data 0.042 (0.047) Loss 2.4432 (2.3071) Prec@1 47.266 (47.317) Prec@5 69.922 (72.721)
Epoch: [101][860/5005] Time 0.214 (0.212) Data 0.043 (0.047) Loss 2.2174 (2.3069) Prec@1 46.875 (47.326) Prec@5 74.609 (72.715)
Epoch: [101][870/5005] Time 0.209 (0.212) Data 0.042 (0.047) Loss 2.3423 (2.3058) Prec@1 42.578 (47.343) Prec@5 74.219 (72.728)
Epoch: [101][880/5005] Time 0.210 (0.212) Data 0.044 (0.047) Loss 2.1570 (2.3056) Prec@1 48.438 (47.329) Prec@5 73.047 (72.733)
Epoch: [101][890/5005] Time 0.209 (0.212) Data 0.044 (0.047) Loss 2.4703 (2.3052) Prec@1 42.969 (47.335) Prec@5 71.094 (72.736)
Epoch: [101][900/5005] Time 0.214 (0.212) Data 0.043 (0.047) Loss 2.2584 (2.3049) Prec@1 48.828 (47.338) Prec@5 76.953 (72.750)
Epoch: [101][910/5005] Time 0.210 (0.212) Data 0.042 (0.047) Loss 2.2211 (2.3050) Prec@1 50.781 (47.336) Prec@5 74.609 (72.745)
Epoch: [101][920/5005] Time 0.209 (0.212) Data 0.051 (0.047) Loss 2.2715 (2.3044) Prec@1 45.703 (47.348) Prec@5 75.781 (72.772)
Epoch: [101][930/5005] Time 0.218 (0.212) Data 0.047 (0.047) Loss 2.4058 (2.3047) Prec@1 46.875 (47.344) Prec@5 69.922 (72.756)
Epoch: [101][940/5005] Time 0.218 (0.212) Data 0.047 (0.047) Loss 2.2252 (2.3053) Prec@1 46.875 (47.329) Prec@5 73.438 (72.746)
Epoch: [101][950/5005] Time 0.215 (0.212) Data 0.049 (0.047) Loss 2.3730 (2.3059) Prec@1 46.875 (47.320) Prec@5 71.094 (72.729)
Epoch: [101][960/5005] Time 0.210 (0.212) Data 0.052 (0.047) Loss 2.5500 (2.3058) Prec@1 44.141 (47.335) Prec@5 68.750 (72.741)
Epoch: [101][970/5005] Time 0.212 (0.212) Data 0.065 (0.047) Loss 2.0806 (2.3056) Prec@1 53.125 (47.332) Prec@5 77.344 (72.742)
Epoch: [101][980/5005] Time 0.211 (0.212) Data 0.055 (0.047) Loss 2.2745 (2.3047) Prec@1 46.875 (47.347) Prec@5 71.484 (72.757)
Epoch: [101][990/5005] Time 0.211 (0.212) Data 0.065 (0.047) Loss 2.3368 (2.3049) Prec@1 44.922 (47.336) Prec@5 72.266 (72.752)
Epoch: [101][1000/5005] Time 0.217 (0.212) Data 0.045 (0.047) Loss 2.3767 (2.3045) Prec@1 46.484 (47.343) Prec@5 74.219 (72.760)
Epoch: [101][1010/5005] Time 0.216 (0.212) Data 0.048 (0.047) Loss 2.3275 (2.3043) Prec@1 49.219 (47.346) Prec@5 72.656 (72.763)
Epoch: [101][1020/5005] Time 0.204 (0.213) Data 0.058 (0.048) Loss 2.2510 (2.3050) Prec@1 46.875 (47.326) Prec@5 74.219 (72.742)
Epoch: [101][1030/5005] Time 0.195 (0.213) Data 0.047 (0.048) Loss 2.1755 (2.3045) Prec@1 47.266 (47.338) Prec@5 75.391 (72.745)
Epoch: [101][1040/5005] Time 0.204 (0.213) Data 0.052 (0.048) Loss 2.3670 (2.3045) Prec@1 45.312 (47.340) Prec@5 73.828 (72.756)
Epoch: [101][1050/5005] Time 0.210 (0.213) Data 0.043 (0.048) Loss 2.4517 (2.3046) Prec@1 44.922 (47.338) Prec@5 67.188 (72.745)
Epoch: [101][1060/5005] Time 0.207 (0.213) Data 0.046 (0.048) Loss 2.4840 (2.3047) Prec@1 45.703 (47.333) Prec@5 69.141 (72.748)
Epoch: [101][1070/5005] Time 0.211 (0.213) Data 0.050 (0.048) Loss 2.3154 (2.3045) Prec@1 46.875 (47.331) Prec@5 73.438 (72.758)
Epoch: [101][1080/5005] Time 0.207 (0.213) Data 0.053 (0.048) Loss 2.1946 (2.3047) Prec@1 48.438 (47.330) Prec@5 75.000 (72.755)
Epoch: [101][1090/5005] Time 0.209 (0.213) Data 0.043 (0.048) Loss 2.2361 (2.3045) Prec@1 48.438 (47.337) Prec@5 73.047 (72.764)
Epoch: [101][1100/5005] Time 0.211 (0.213) Data 0.040 (0.048) Loss 2.1576 (2.3035) Prec@1 49.219 (47.357) Prec@5 75.391 (72.778)
Epoch: [101][1110/5005] Time 0.201 (0.213) Data 0.043 (0.048) Loss 2.2690 (2.3035) Prec@1 46.875 (47.359) Prec@5 74.219 (72.780)
Epoch: [101][1120/5005] Time 0.208 (0.213) Data 0.045 (0.048) Loss 2.2348 (2.3028) Prec@1 47.266 (47.367) Prec@5 73.828 (72.790)
Epoch: [101][1130/5005] Time 0.215 (0.213) Data 0.044 (0.048) Loss 2.4044 (2.3031) Prec@1 45.703 (47.368) Prec@5 70.312 (72.781)
Epoch: [101][1140/5005] Time 0.207 (0.213) Data 0.042 (0.048) Loss 2.2960 (2.3026) Prec@1 48.438 (47.369) Prec@5 72.656 (72.788)
Epoch: [101][1150/5005] Time 0.194 (0.213) Data 0.052 (0.048) Loss 2.2690 (2.3020) Prec@1 46.484 (47.385) Prec@5 72.266 (72.798)
Epoch: [101][1160/5005] Time 0.209 (0.213) Data 0.045 (0.048) Loss 2.3635 (2.3019) Prec@1 43.359 (47.391) Prec@5 71.484 (72.795)
Epoch: [101][1170/5005] Time 0.204 (0.213) Data 0.044 (0.048) Loss 2.1717 (2.3018) Prec@1 51.562 (47.397) Prec@5 74.609 (72.792)
Epoch: [101][1180/5005] Time 0.207 (0.212) Data 0.044 (0.048) Loss 2.4622 (2.3018) Prec@1 46.094 (47.394) Prec@5 68.750 (72.793)
Epoch: [101][1190/5005] Time 0.200 (0.212) Data 0.043 (0.048) Loss 2.1836 (2.3013) Prec@1 50.000 (47.403) Prec@5 74.609 (72.804)
Epoch: [101][1200/5005] Time 0.206 (0.212) Data 0.044 (0.048) Loss 2.4481 (2.3012) Prec@1 44.531 (47.404) Prec@5 70.703 (72.805)
Epoch: [101][1210/5005] Time 0.213 (0.212) Data 0.042 (0.048) Loss 2.3697 (2.3017) Prec@1 45.312 (47.390) Prec@5 70.312 (72.799)
Epoch: [101][1220/5005] Time 0.208 (0.212) Data 0.043 (0.048) Loss 2.1222 (2.3017) Prec@1 47.656 (47.390) Prec@5 76.953 (72.797)
Epoch: [101][1230/5005] Time 0.214 (0.212) Data 0.045 (0.048) Loss 2.3025 (2.3017) Prec@1 48.438 (47.380) Prec@5 73.047 (72.801)
Epoch: [101][1240/5005] Time 0.211 (0.212) Data 0.058 (0.048) Loss 2.2855 (2.3019) Prec@1 49.609 (47.374) Prec@5 72.656 (72.792)
Epoch: [101][1250/5005] Time 0.211 (0.212) Data 0.044 (0.048) Loss 2.5459 (2.3023) Prec@1 42.969 (47.366) Prec@5 69.141 (72.786)
Epoch: [101][1260/5005] Time 0.212 (0.212) Data 0.044 (0.048) Loss 2.0486 (2.3017) Prec@1 51.172 (47.375) Prec@5 76.172 (72.798)
Epoch: [101][1270/5005] Time 0.210 (0.212) Data 0.044 (0.048) Loss 2.3822 (2.3021) Prec@1 47.656 (47.373) Prec@5 68.750 (72.786)
Epoch: [101][1280/5005] Time 0.216 (0.212) Data 0.044 (0.048) Loss 2.1294 (2.3022) Prec@1 51.953 (47.373) Prec@5 75.000 (72.785)
Epoch: [101][1290/5005] Time 0.206 (0.212) Data 0.057 (0.048) Loss 2.1325 (2.3021) Prec@1 50.000 (47.380) Prec@5 73.828 (72.786)
Epoch: [101][1300/5005] Time 0.208 (0.212) Data 0.061 (0.048) Loss 2.0923 (2.3018) Prec@1 51.562 (47.391) Prec@5 76.953 (72.801)
Epoch: [101][1310/5005] Time 0.207 (0.212) Data 0.056 (0.048) Loss 2.4334 (2.3016) Prec@1 46.484 (47.397) Prec@5 67.969 (72.810)
Epoch: [101][1320/5005] Time 0.204 (0.212) Data 0.044 (0.048) Loss 2.4448 (2.3016) Prec@1 45.312 (47.389) Prec@5 71.484 (72.816)
Epoch: [101][1330/5005] Time 0.203 (0.212) Data 0.061 (0.048) Loss 2.5224 (2.3020) Prec@1 47.656 (47.387) Prec@5 67.578 (72.814)
Epoch: [101][1340/5005] Time 0.213 (0.212) Data 0.052 (0.048) Loss 2.2181 (2.3020) Prec@1 48.047 (47.385) Prec@5 73.047 (72.805)
Epoch: [101][1350/5005] Time 0.200 (0.212) Data 0.044 (0.048) Loss 2.7259 (2.3021) Prec@1 46.094 (47.386) Prec@5 67.578 (72.805)
Epoch: [101][1360/5005] Time 0.216 (0.212) Data 0.042 (0.048) Loss 2.1044 (2.3019) Prec@1 51.953 (47.385) Prec@5 75.000 (72.806)
Epoch: [101][1370/5005] Time 0.214 (0.212) Data 0.045 (0.048) Loss 2.3629 (2.3013) Prec@1 45.703 (47.386) Prec@5 71.094 (72.812)
Epoch: [101][1380/5005] Time 0.220 (0.212) Data 0.043 (0.048) Loss 2.2461 (2.3012) Prec@1 47.266 (47.384) Prec@5 74.219 (72.815)
Epoch: [101][1390/5005] Time 0.205 (0.212) Data 0.059 (0.048) Loss 2.2281 (2.3012) Prec@1 50.000 (47.388) Prec@5 78.125 (72.814)
Epoch: [101][1400/5005] Time 0.212 (0.212) Data 0.045 (0.048) Loss 2.2429 (2.3001) Prec@1 47.266 (47.401) Prec@5 72.656 (72.832)
Epoch: [101][1410/5005] Time 0.207 (0.212) Data 0.057 (0.048) Loss 2.3424 (2.2999) Prec@1 46.484 (47.400) Prec@5 73.047 (72.832)
Epoch: [101][1420/5005] Time 0.199 (0.212) Data 0.044 (0.048) Loss 2.4671 (2.3001) Prec@1 44.531 (47.399) Prec@5 70.703 (72.831)
Epoch: [101][1430/5005] Time 0.208 (0.212) Data 0.048 (0.048) Loss 2.0632 (2.2997) Prec@1 48.828 (47.407) Prec@5 75.781 (72.840)
Epoch: [101][1440/5005] Time 0.214 (0.212) Data 0.049 (0.048) Loss 2.0475 (2.2997) Prec@1 53.125 (47.407) Prec@5 76.562 (72.843)
Epoch: [101][1450/5005] Time 0.207 (0.212) Data 0.043 (0.048) Loss 2.2968 (2.2994) Prec@1 47.266 (47.410) Prec@5 73.047 (72.847)
Epoch: [101][1460/5005] Time 0.215 (0.212) Data 0.042 (0.048) Loss 2.3245 (2.2991) Prec@1 46.094 (47.414) Prec@5 69.922 (72.851)
Epoch: [101][1470/5005] Time 0.217 (0.212) Data 0.043 (0.048) Loss 2.4013 (2.2994) Prec@1 46.484 (47.405) Prec@5 69.922 (72.847)
Epoch: [101][1480/5005] Time 0.210 (0.212) Data 0.047 (0.048) Loss 2.1435 (2.2997) Prec@1 54.688 (47.403) Prec@5 77.344 (72.846)
Epoch: [101][1490/5005] Time 0.211 (0.212) Data 0.044 (0.048) Loss 2.4620 (2.2997) Prec@1 44.922 (47.407) Prec@5 71.484 (72.847)
Epoch: [101][1500/5005] Time 0.211 (0.212) Data 0.046 (0.048) Loss 2.2949 (2.2995) Prec@1 47.656 (47.407) Prec@5 72.656 (72.852)
Epoch: [101][1510/5005] Time 0.213 (0.212) Data 0.044 (0.048) Loss 2.1204 (2.2993) Prec@1 51.953 (47.411) Prec@5 74.219 (72.851)
Epoch: [101][1520/5005] Time 0.213 (0.212) Data 0.043 (0.048) Loss 2.3657 (2.2990) Prec@1 46.875 (47.417) Prec@5 71.875 (72.856)
Epoch: [101][1530/5005] Time 0.202 (0.212) Data 0.043 (0.048) Loss 2.4565 (2.2991) Prec@1 45.703 (47.414) Prec@5 72.656 (72.856)
Epoch: [101][1540/5005] Time 0.213 (0.212) Data 0.042 (0.048) Loss 2.2360 (2.2994) Prec@1 49.219 (47.415) Prec@5 72.266 (72.850)
Epoch: [101][1550/5005] Time 0.214 (0.212) Data 0.042 (0.048) Loss 2.0888 (2.2991) Prec@1 48.828 (47.416) Prec@5 77.734 (72.852)
Epoch: [101][1560/5005] Time 0.210 (0.212) Data 0.043 (0.048) Loss 2.2146 (2.2993) Prec@1 51.172 (47.417) Prec@5 72.266 (72.850)
Epoch: [101][1570/5005] Time 0.214 (0.212) Data 0.041 (0.048) Loss 2.2425 (2.2989) Prec@1 49.219 (47.431) Prec@5 75.391 (72.860)
Epoch: [101][1580/5005] Time 0.213 (0.212) Data 0.044 (0.048) Loss 2.1136 (2.2988) Prec@1 53.906 (47.430) Prec@5 77.344 (72.861)
Epoch: [101][1590/5005] Time 0.214 (0.212) Data 0.042 (0.048) Loss 2.3053 (2.2988) Prec@1 48.047 (47.432) Prec@5 71.094 (72.856)
Epoch: [101][1600/5005] Time 0.210 (0.212) Data 0.044 (0.048) Loss 2.3486 (2.2985) Prec@1 50.000 (47.440) Prec@5 71.875 (72.859)
Epoch: [101][1610/5005] Time 0.211 (0.212) Data 0.042 (0.048) Loss 2.2619 (2.2984) Prec@1 51.172 (47.441) Prec@5 75.781 (72.861)
Epoch: [101][1620/5005] Time 0.209 (0.212) Data 0.043 (0.048) Loss 2.4300 (2.2980) Prec@1 39.453 (47.437) Prec@5 71.484 (72.867)
Epoch: [101][1630/5005] Time 0.209 (0.212) Data 0.042 (0.047) Loss 2.0816 (2.2979) Prec@1 50.391 (47.437) Prec@5 77.344 (72.871)
Epoch: [101][1640/5005] Time 0.212 (0.212) Data 0.042 (0.047) Loss 2.3535 (2.2980) Prec@1 51.172 (47.439) Prec@5 70.703 (72.861)
Epoch: [101][1650/5005] Time 0.210 (0.212) Data 0.041 (0.047) Loss 2.3749 (2.2979) Prec@1 46.875 (47.443) Prec@5 72.266 (72.861)
Epoch: [101][1660/5005] Time 0.207 (0.212) Data 0.041 (0.047) Loss 2.2116 (2.2972) Prec@1 48.828 (47.458) Prec@5 74.219 (72.868)
Epoch: [101][1670/5005] Time 0.206 (0.212) Data 0.047 (0.047) Loss 2.1637 (2.2974) Prec@1 50.000 (47.454) Prec@5 74.219 (72.869)
Epoch: [101][1680/5005] Time 0.209 (0.212) Data 0.043 (0.047) Loss 2.4427 (2.2975) Prec@1 47.656 (47.448) Prec@5 69.141 (72.864)
Epoch: [101][1690/5005] Time 0.196 (0.212) Data 0.053 (0.047) Loss 2.1632 (2.2974) Prec@1 50.391 (47.449) Prec@5 73.438 (72.862)
Epoch: [101][1700/5005] Time 0.210 (0.212) Data 0.049 (0.047) Loss 2.2377 (2.2971) Prec@1 46.484 (47.447) Prec@5 71.875 (72.866)
Epoch: [101][1710/5005] Time 0.210 (0.212) Data 0.047 (0.047) Loss 2.1419 (2.2965) Prec@1 50.781 (47.450) Prec@5 75.781 (72.875)
Epoch: [101][1720/5005] Time 0.208 (0.212) Data 0.044 (0.047) Loss 2.3281 (2.2967) Prec@1 47.656 (47.450) Prec@5 71.484 (72.873)
Epoch: [101][1730/5005] Time 0.205 (0.211) Data 0.043 (0.047) Loss 2.2644 (2.2967) Prec@1 43.359 (47.440) Prec@5 73.828 (72.874)
Epoch: [101][1740/5005] Time 0.201 (0.211) Data 0.052 (0.047) Loss 2.3761 (2.2964) Prec@1 47.266 (47.449) Prec@5 67.969 (72.882)
Epoch: [101][1750/5005] Time 0.201 (0.211) Data 0.048 (0.047) Loss 2.4334 (2.2961) Prec@1 45.703 (47.454) Prec@5 70.703 (72.889)
Epoch: [101][1760/5005] Time 0.214 (0.211) Data 0.042 (0.047) Loss 2.0101 (2.2958) Prec@1 54.297 (47.459) Prec@5 78.125 (72.894)
Epoch: [101][1770/5005] Time 0.212 (0.211) Data 0.044 (0.047) Loss 2.3119 (2.2955) Prec@1 44.531 (47.461) Prec@5 73.438 (72.897)
Epoch: [101][1780/5005] Time 0.197 (0.211) Data 0.047 (0.047) Loss 2.1596 (2.2954) Prec@1 50.000 (47.460) Prec@5 76.172 (72.897)
Epoch: [101][1790/5005] Time 0.215 (0.211) Data 0.042 (0.047) Loss 2.1740 (2.2952) Prec@1 47.656 (47.462) Prec@5 73.828 (72.901)
Epoch: [101][1800/5005] Time 0.215 (0.211) Data 0.046 (0.047) Loss 2.2757 (2.2949) Prec@1 49.219 (47.472) Prec@5 75.391 (72.910)
Epoch: [101][1810/5005] Time 0.208 (0.211) Data 0.043 (0.047) Loss 2.2201 (2.2948) Prec@1 50.391 (47.469) Prec@5 74.219 (72.908)
Epoch: [101][1820/5005] Time 0.204 (0.211) Data 0.066 (0.047) Loss 2.2861 (2.2948) Prec@1 47.266 (47.472) Prec@5 73.828 (72.901)
Epoch: [101][1830/5005] Time 0.205 (0.211) Data 0.052 (0.047) Loss 2.0622 (2.2943) Prec@1 51.172 (47.481) Prec@5 75.781 (72.905)
Epoch: [101][1840/5005] Time 0.211 (0.211) Data 0.048 (0.047) Loss 2.2636 (2.2942) Prec@1 47.656 (47.481) Prec@5 76.562 (72.906)
Epoch: [101][1850/5005] Time 0.208 (0.211) Data 0.044 (0.047) Loss 2.2224 (2.2940) Prec@1 49.219 (47.483) Prec@5 76.172 (72.911)
Epoch: [101][1860/5005] Time 0.210 (0.211) Data 0.048 (0.047) Loss 2.1553 (2.2940) Prec@1 53.906 (47.488) Prec@5 71.875 (72.909)
Epoch: [101][1870/5005] Time 0.211 (0.211) Data 0.045 (0.047) Loss 2.5023 (2.2943) Prec@1 40.234 (47.479) Prec@5 69.922 (72.904)
Epoch: [101][1880/5005] Time 0.220 (0.211) Data 0.044 (0.047) Loss 2.3380 (2.2946) Prec@1 46.094 (47.474) Prec@5 74.219 (72.902)
Epoch: [101][1890/5005] Time 0.192 (0.211) Data 0.060 (0.047) Loss 2.2580 (2.2943) Prec@1 47.656 (47.475) Prec@5 76.172 (72.906)
Epoch: [101][1900/5005] Time 0.201 (0.211) Data 0.053 (0.047) Loss 2.2434 (2.2948) Prec@1 47.656 (47.469) Prec@5 72.656 (72.895)
Epoch: [101][1910/5005] Time 0.208 (0.211) Data 0.047 (0.047) Loss 2.2341 (2.2947) Prec@1 49.609 (47.470) Prec@5 74.219 (72.895)
Epoch: [101][1920/5005] Time 0.208 (0.211) Data 0.041 (0.047) Loss 2.1639 (2.2944) Prec@1 48.047 (47.474) Prec@5 77.734 (72.901)
Epoch: [101][1930/5005] Time 0.208 (0.211) Data 0.039 (0.047) Loss 2.2064 (2.2940) Prec@1 48.828 (47.481) Prec@5 74.219 (72.906)
Epoch: [101][1940/5005] Time 0.214 (0.211) Data 0.046 (0.047) Loss 2.1206 (2.2935) Prec@1 53.516 (47.486) Prec@5 77.344 (72.918)
Epoch: [101][1950/5005] Time 0.211 (0.211) Data 0.043 (0.047) Loss 2.2657 (2.2933) Prec@1 46.094 (47.486) Prec@5 70.703 (72.920)
Epoch: [101][1960/5005] Time 0.200 (0.211) Data 0.051 (0.047) Loss 2.2114 (2.2931) Prec@1 50.391 (47.490) Prec@5 73.438 (72.926)
Epoch: [101][1970/5005] Time 0.214 (0.211) Data 0.053 (0.047) Loss 2.2738 (2.2931) Prec@1 46.094 (47.493) Prec@5 73.828 (72.924)
Epoch: [101][1980/5005] Time 0.209 (0.211) Data 0.047 (0.047) Loss 2.0748 (2.2929) Prec@1 51.172 (47.501) Prec@5 75.000 (72.927)
Epoch: [101][1990/5005] Time 0.205 (0.211) Data 0.044 (0.047) Loss 2.0586 (2.2926) Prec@1 51.562 (47.506) Prec@5 76.172 (72.933)
Epoch: [101][2000/5005] Time 0.207 (0.211) Data 0.042 (0.047) Loss 2.1101 (2.2929) Prec@1 51.172 (47.497) Prec@5 76.562 (72.929)
Epoch: [101][2010/5005] Time 0.215 (0.211) Data 0.043 (0.047) Loss 2.2044 (2.2929) Prec@1 48.438 (47.503) Prec@5 77.344 (72.931)
Epoch: [101][2020/5005] Time 0.203 (0.211) Data 0.046 (0.047) Loss 2.3749 (2.2930) Prec@1 49.219 (47.501) Prec@5 72.656 (72.931)
Epoch: [101][2030/5005] Time 0.212 (0.211) Data 0.046 (0.047) Loss 2.1630 (2.2931) Prec@1 48.047 (47.499) Prec@5 75.781 (72.924)
Epoch: [101][2040/5005] Time 0.214 (0.211) Data 0.044 (0.047) Loss 2.1775 (2.2929) Prec@1 51.562 (47.507) Prec@5 75.000 (72.926)
Epoch: [101][2050/5005] Time 0.210 (0.211) Data 0.041 (0.047) Loss 2.3895 (2.2927) Prec@1 47.656 (47.511) Prec@5 72.266 (72.929)
Epoch: [101][2060/5005] Time 0.204 (0.211) Data 0.047 (0.047) Loss 2.2349 (2.2929) Prec@1 47.656 (47.502) Prec@5 73.438 (72.925)
Epoch: [101][2070/5005] Time 0.211 (0.211) Data 0.043 (0.047) Loss 2.4232 (2.2930) Prec@1 46.875 (47.503) Prec@5 73.047 (72.925)
Epoch: [101][2080/5005] Time 0.206 (0.211) Data 0.043 (0.047) Loss 2.4030 (2.2931) Prec@1 47.266 (47.500) Prec@5 71.484 (72.921)
Epoch: [101][2090/5005] Time 0.215 (0.211) Data 0.043 (0.047) Loss 2.0981 (2.2926) Prec@1 50.000 (47.510) Prec@5 76.562 (72.929)
Epoch: [101][2100/5005] Time 0.211 (0.211) Data 0.041 (0.047) Loss 2.2987 (2.2923) Prec@1 43.359 (47.512) Prec@5 73.438 (72.931)
Epoch: [101][2110/5005] Time 0.206 (0.211) Data 0.043 (0.047) Loss 2.1332 (2.2923) Prec@1 48.828 (47.518) Prec@5 75.000 (72.932)
Epoch: [101][2120/5005] Time 0.212 (0.211) Data 0.042 (0.047) Loss 2.4063 (2.2923) Prec@1 45.703 (47.518) Prec@5 73.047 (72.933)
Epoch: [101][2130/5005] Time 0.214 (0.211) Data 0.043 (0.047) Loss 2.1879 (2.2917) Prec@1 50.391 (47.529) Prec@5 76.562 (72.941)
Epoch: [101][2140/5005] Time 0.198 (0.211) Data 0.041 (0.047) Loss 2.1210 (2.2916) Prec@1 51.953 (47.535) Prec@5 73.047 (72.940)
Epoch: [101][2150/5005] Time 0.218 (0.211) Data 0.042 (0.047) Loss 1.9938 (2.2913) Prec@1 53.125 (47.544) Prec@5 76.953 (72.944)
Epoch: [101][2160/5005] Time 0.213 (0.211) Data 0.047 (0.047) Loss 2.3400 (2.2912) Prec@1 46.484 (47.544) Prec@5 71.094 (72.946)
Epoch: [101][2170/5005] Time 0.209 (0.211) Data 0.053 (0.047) Loss 2.1889 (2.2910) Prec@1 52.344 (47.551) Prec@5 73.047 (72.948)
Epoch: [101][2180/5005] Time 0.211 (0.211) Data 0.046 (0.047) Loss 2.3413 (2.2909) Prec@1 48.828 (47.552) Prec@5 73.047 (72.950)
Epoch: [101][2190/5005] Time 0.210 (0.211) Data 0.056 (0.047) Loss 2.4615 (2.2911) Prec@1 45.312 (47.550) Prec@5 71.875 (72.946)
Epoch: [101][2200/5005] Time 0.212 (0.211) Data 0.043 (0.047) Loss 2.3334 (2.2914) Prec@1 46.875 (47.542) Prec@5 69.141 (72.939)
Epoch: [101][2210/5005] Time 0.215 (0.211) Data 0.043 (0.047) Loss 2.3934 (2.2917) Prec@1 47.266 (47.538) Prec@5 69.531 (72.934)
Epoch: [101][2220/5005] Time 0.213 (0.211) Data 0.043 (0.047) Loss 2.3829 (2.2916) Prec@1 44.922 (47.535) Prec@5 71.484 (72.940)
Epoch: [101][2230/5005] Time 0.204 (0.211) Data 0.048 (0.047) Loss 2.2367 (2.2915) Prec@1 48.438 (47.535) Prec@5 74.609 (72.941)
Epoch: [101][2240/5005] Time 0.216 (0.211) Data 0.043 (0.047) Loss 2.3445 (2.2916) Prec@1 47.266 (47.537) Prec@5 71.875 (72.939)
Epoch: [101][2250/5005] Time 0.209 (0.211) Data 0.045 (0.047) Loss 1.9712 (2.2916) Prec@1 54.297 (47.542) Prec@5 79.688 (72.940)
Epoch: [101][2260/5005] Time 0.205 (0.211) Data 0.055 (0.047) Loss 2.1930 (2.2913) Prec@1 48.828 (47.550) Prec@5 74.219 (72.945)
Epoch: [101][2270/5005] Time 0.203 (0.211) Data 0.060 (0.047) Loss 2.4001 (2.2910) Prec@1 43.750 (47.556) Prec@5 71.875 (72.950)
Epoch: [101][2280/5005] Time 0.204 (0.211) Data 0.047 (0.047) Loss 2.3176 (2.2909) Prec@1 47.656 (47.558) Prec@5 75.391 (72.953)
Epoch: [101][2290/5005] Time 0.212 (0.211) Data 0.054 (0.047) Loss 2.1350 (2.2909) Prec@1 51.953 (47.562) Prec@5 74.609 (72.953)
Epoch: [101][2300/5005] Time 0.210 (0.211) Data 0.051 (0.047) Loss 2.2771 (2.2910) Prec@1 46.094 (47.561) Prec@5 71.875 (72.952)
Epoch: [101][2310/5005] Time 0.206 (0.211) Data 0.043 (0.047) Loss 2.1160 (2.2908) Prec@1 50.781 (47.567) Prec@5 72.266 (72.956)
Epoch: [101][2320/5005] Time 0.208 (0.211) Data 0.040 (0.047) Loss 2.3428 (2.2907) Prec@1 44.922 (47.568) Prec@5 72.656 (72.957)
Epoch: [101][2330/5005] Time 0.212 (0.211) Data 0.043 (0.047) Loss 2.1604 (2.2904) Prec@1 54.297 (47.571) Prec@5 75.000 (72.962)
Epoch: [101][2340/5005] Time 0.206 (0.211) Data 0.042 (0.047) Loss 2.4249 (2.2902) Prec@1 46.094 (47.578) Prec@5 68.750 (72.966)
Epoch: [101][2350/5005] Time 0.208 (0.211) Data 0.041 (0.047) Loss 2.1787 (2.2901) Prec@1 47.656 (47.579) Prec@5 73.828 (72.966)
Epoch: [101][2360/5005] Time 0.215 (0.211) Data 0.060 (0.047) Loss 2.1939 (2.2900) Prec@1 52.344 (47.581) Prec@5 72.656 (72.964)
Epoch: [101][2370/5005] Time 0.213 (0.211) Data 0.046 (0.047) Loss 2.3261 (2.2902) Prec@1 47.266 (47.570) Prec@5 69.141 (72.959)
Epoch: [101][2380/5005] Time 0.213 (0.211) Data 0.040 (0.047) Loss 2.3847 (2.2899) Prec@1 50.781 (47.582) Prec@5 70.703 (72.968)
Epoch: [101][2390/5005] Time 0.208 (0.211) Data 0.040 (0.047) Loss 2.1786 (2.2897) Prec@1 50.391 (47.586) Prec@5 70.312 (72.965)
Epoch: [101][2400/5005] Time 0.211 (0.211) Data 0.043 (0.047) Loss 2.2287 (2.2897) Prec@1 48.828 (47.582) Prec@5 74.609 (72.969)
Epoch: [101][2410/5005] Time 0.206 (0.211) Data 0.042 (0.047) Loss 2.5102 (2.2898) Prec@1 46.094 (47.581) Prec@5 68.750 (72.966)
Epoch: [101][2420/5005] Time 0.210 (0.211) Data 0.042 (0.047) Loss 2.3020 (2.2896) Prec@1 48.828 (47.588) Prec@5 69.922 (72.971)
Epoch: [101][2430/5005] Time 0.208 (0.211) Data 0.043 (0.047) Loss 2.1800 (2.2898) Prec@1 50.391 (47.586) Prec@5 74.219 (72.966)
Epoch: [101][2440/5005] Time 0.214 (0.211) Data 0.043 (0.047) Loss 2.0408 (2.2896) Prec@1 51.562 (47.590) Prec@5 76.172 (72.965)
Epoch: [101][2450/5005] Time 0.212 (0.211) Data 0.044 (0.047) Loss 2.3045 (2.2894) Prec@1 46.484 (47.593) Prec@5 69.531 (72.969)
Epoch: [101][2460/5005] Time 0.210 (0.211) Data 0.041 (0.047) Loss 2.2288 (2.2894) Prec@1 47.266 (47.595) Prec@5 74.219 (72.970)
Epoch: [101][2470/5005] Time 0.213 (0.211) Data 0.041 (0.047) Loss 2.1184 (2.2892) Prec@1 47.656 (47.597) Prec@5 72.656 (72.971)
Epoch: [101][2480/5005] Time 0.209 (0.211) Data 0.043 (0.047) Loss 2.3107 (2.2894) Prec@1 45.703 (47.593) Prec@5 73.047 (72.970)
Epoch: [101][2490/5005] Time 0.202 (0.211) Data 0.040 (0.047) Loss 2.1265 (2.2895) Prec@1 48.438 (47.589) Prec@5 75.000 (72.969)
Epoch: [101][2500/5005] Time 0.213 (0.211) Data 0.043 (0.047) Loss 2.3353 (2.2895) Prec@1 47.656 (47.590) Prec@5 69.922 (72.968)
Epoch: [101][2510/5005] Time 0.212 (0.211) Data 0.043 (0.047) Loss 2.2554 (2.2895) Prec@1 49.609 (47.587) Prec@5 74.219 (72.968)
Epoch: [101][2520/5005] Time 0.213 (0.211) Data 0.043 (0.047) Loss 2.3240 (2.2896) Prec@1 51.172 (47.588) Prec@5 72.656 (72.967)
Epoch: [101][2530/5005] Time 0.209 (0.211) Data 0.044 (0.047) Loss 2.5066 (2.2896) Prec@1 45.703 (47.588) Prec@5 68.750 (72.966)
Epoch: [101][2540/5005] Time 0.206 (0.211) Data 0.046 (0.047) Loss 2.2732 (2.2895) Prec@1 48.047 (47.589) Prec@5 71.875 (72.966)
Epoch: [101][2550/5005] Time 0.208 (0.211) Data 0.043 (0.047) Loss 2.2913 (2.2895) Prec@1 48.438 (47.589) Prec@5 74.609 (72.968)
Epoch: [101][2560/5005] Time 0.206 (0.211) Data 0.042 (0.047) Loss 2.5377 (2.2897) Prec@1 41.406 (47.588) Prec@5 68.750 (72.969)
Epoch: [101][2570/5005] Time 0.216 (0.211) Data 0.043 (0.047) Loss 2.2927 (2.2897) Prec@1 45.312 (47.587) Prec@5 72.656 (72.970)
Epoch: [101][2580/5005] Time 0.204 (0.211) Data 0.047 (0.047) Loss 2.4168 (2.2901) Prec@1 42.969 (47.579) Prec@5 70.703 (72.965)
Epoch: [101][2590/5005] Time 0.201 (0.211) Data 0.043 (0.047) Loss 2.4056 (2.2900) Prec@1 47.656 (47.584) Prec@5 68.750 (72.964)
Epoch: [101][2600/5005] Time 0.207 (0.211) Data 0.041 (0.047) Loss 2.3404 (2.2903) Prec@1 48.828 (47.580) Prec@5 71.484 (72.959)
Epoch: [101][2610/5005] Time 0.209 (0.211) Data 0.043 (0.047) Loss 2.4151 (2.2902) Prec@1 48.047 (47.586) Prec@5 70.312 (72.961)
Epoch: [101][2620/5005] Time 0.210 (0.211) Data 0.041 (0.047) Loss 2.2163 (2.2902) Prec@1 48.828 (47.588) Prec@5 74.609 (72.963)
Epoch: [101][2630/5005] Time 0.219 (0.211) Data 0.045 (0.047) Loss 2.5823 (2.2906) Prec@1 40.234 (47.587) Prec@5 68.359 (72.956)
Epoch: [101][2640/5005] Time 0.210 (0.211) Data 0.043 (0.047) Loss 2.5407 (2.2907) Prec@1 46.094 (47.583) Prec@5 69.922 (72.958)
Epoch: [101][2650/5005] Time 0.218 (0.211) Data 0.044 (0.047) Loss 2.5709 (2.2907) Prec@1 42.969 (47.583) Prec@5 68.750 (72.954)
Epoch: [101][2660/5005] Time 0.211 (0.211) Data 0.043 (0.047) Loss 2.1345 (2.2907) Prec@1 48.828 (47.583) Prec@5 74.219 (72.951)
Epoch: [101][2670/5005] Time 0.208 (0.211) Data 0.043 (0.047) Loss 2.0024 (2.2905) Prec@1 50.781 (47.589) Prec@5 78.906 (72.956)
Epoch: [101][2680/5005] Time 0.201 (0.211) Data 0.041 (0.047) Loss 2.2398 (2.2905) Prec@1 47.266 (47.585) Prec@5 76.562 (72.956)
Epoch: [101][2690/5005] Time 0.205 (0.211) Data 0.042 (0.047) Loss 2.1339 (2.2903) Prec@1 53.125 (47.589) Prec@5 73.438 (72.958)
Epoch: [101][2700/5005] Time 0.208 (0.211) Data 0.043 (0.047) Loss 2.2472 (2.2903) Prec@1 47.656 (47.587) Prec@5 73.828 (72.960)
Epoch: [101][2710/5005] Time 0.199 (0.211) Data 0.042 (0.047) Loss 2.0937 (2.2904) Prec@1 48.828 (47.583) Prec@5 72.656 (72.954)
Epoch: [101][2720/5005] Time 0.198 (0.211) Data 0.057 (0.047) Loss 2.1538 (2.2904) Prec@1 51.562 (47.581) Prec@5 74.219 (72.952)
Epoch: [101][2730/5005] Time 0.207 (0.211) Data 0.052 (0.047) Loss 2.3147 (2.2903) Prec@1 46.875 (47.584) Prec@5 69.922 (72.955)
Epoch: [101][2740/5005] Time 0.205 (0.210) Data 0.060 (0.047) Loss 2.2306 (2.2903) Prec@1 50.000 (47.584) Prec@5 73.828 (72.955)
Epoch: [101][2750/5005] Time 0.204 (0.210) Data 0.042 (0.047) Loss 2.3027 (2.2902) Prec@1 47.266 (47.586) Prec@5 71.094 (72.955)
Epoch: [101][2760/5005] Time 0.195 (0.210) Data 0.056 (0.047) Loss 2.2640 (2.2903) Prec@1 46.875 (47.588) Prec@5 73.438 (72.956)
Epoch: [101][2770/5005] Time 0.197 (0.210) Data 0.045 (0.047) Loss 2.1965 (2.2903) Prec@1 45.312 (47.585) Prec@5 73.828 (72.955)
Epoch: [101][2780/5005] Time 0.198 (0.210) Data 0.050 (0.047) Loss 2.5706 (2.2904) Prec@1 40.625 (47.581) Prec@5 65.625 (72.954)
Epoch: [101][2790/5005] Time 0.207 (0.210) Data 0.047 (0.047) Loss 2.5380 (2.2906) Prec@1 42.188 (47.578) Prec@5 66.016 (72.947)
Epoch: [101][2800/5005] Time 0.201 (0.210) Data 0.044 (0.047) Loss 2.0280 (2.2905) Prec@1 51.172 (47.582) Prec@5 75.781 (72.948)
Epoch: [101][2810/5005] Time 0.205 (0.210) Data 0.040 (0.047) Loss 2.5755 (2.2907) Prec@1 41.016 (47.575) Prec@5 66.406 (72.947)
Epoch: [101][2820/5005] Time 0.210 (0.210) Data 0.048 (0.047) Loss 2.0086 (2.2907) Prec@1 51.562 (47.574) Prec@5 75.391 (72.946)
Epoch: [101][2830/5005] Time 0.213 (0.210) Data 0.041 (0.047) Loss 2.5073 (2.2908) Prec@1 46.484 (47.574) Prec@5 69.141 (72.944)
Epoch: [101][2840/5005] Time 0.209 (0.210) Data 0.045 (0.047) Loss 2.3626 (2.2909) Prec@1 48.828 (47.574) Prec@5 70.312 (72.940)
Epoch: [101][2850/5005] Time 0.208 (0.210) Data 0.045 (0.047) Loss 2.2971 (2.2907) Prec@1 48.828 (47.578) Prec@5 74.219 (72.941)
Epoch: [101][2860/5005] Time 0.214 (0.210) Data 0.044 (0.047) Loss 2.1653 (2.2908) Prec@1 50.391 (47.576) Prec@5 75.000 (72.940)
Epoch: [101][2870/5005] Time 0.214 (0.210) Data 0.044 (0.047) Loss 2.1318 (2.2905) Prec@1 50.000 (47.583) Prec@5 77.344 (72.949)
Epoch: [101][2880/5005] Time 0.215 (0.210) Data 0.047 (0.047) Loss 2.2017 (2.2905) Prec@1 48.047 (47.585) Prec@5 75.781 (72.949)
Epoch: [101][2890/5005] Time 0.205 (0.210) Data 0.045 (0.047) Loss 2.2506 (2.2903) Prec@1 45.703 (47.592) Prec@5 73.828 (72.951)
Epoch: [101][2900/5005] Time 0.207 (0.210) Data 0.052 (0.047) Loss 2.0333 (2.2901) Prec@1 51.953 (47.592) Prec@5 75.000 (72.957)
Epoch: [101][2910/5005] Time 0.201 (0.210) Data 0.045 (0.047) Loss 2.1868 (2.2900) Prec@1 46.094 (47.593) Prec@5 75.000 (72.958)
Epoch: [101][2920/5005] Time 0.189 (0.211) Data 0.045 (0.047) Loss 2.4663 (2.2901) Prec@1 43.359 (47.592) Prec@5 69.141 (72.957)
Epoch: [101][2930/5005] Time 0.202 (0.211) Data 0.042 (0.047) Loss 2.3982 (2.2901) Prec@1 46.484 (47.590) Prec@5 71.484 (72.958)
Epoch: [101][2940/5005] Time 0.191 (0.211) Data 0.053 (0.047) Loss 2.3405 (2.2900) Prec@1 48.438 (47.591) Prec@5 72.656 (72.959)
Epoch: [101][2950/5005] Time 0.201 (0.211) Data 0.041 (0.047) Loss 2.4281 (2.2898) Prec@1 41.016 (47.588) Prec@5 70.703 (72.961)
Epoch: [101][2960/5005] Time 0.199 (0.211) Data 0.050 (0.047) Loss 2.2343 (2.2898) Prec@1 53.125 (47.596) Prec@5 71.094 (72.960)
Epoch: [101][2970/5005] Time 0.212 (0.211) Data 0.042 (0.047) Loss 2.3711 (2.2895) Prec@1 44.531 (47.599) Prec@5 69.531 (72.962)
Epoch: [101][2980/5005] Time 0.202 (0.211) Data 0.047 (0.047) Loss 2.3869 (2.2895) Prec@1 41.797 (47.597) Prec@5 72.656 (72.964)
Epoch: [101][2990/5005] Time 0.201 (0.210) Data 0.046 (0.047) Loss 2.2696 (2.2896) Prec@1 50.391 (47.594) Prec@5 70.703 (72.962)
Epoch: [101][3000/5005] Time 0.210 (0.210) Data 0.048 (0.047) Loss 2.3773 (2.2894) Prec@1 48.828 (47.597) Prec@5 71.094 (72.964)
Epoch: [101][3010/5005] Time 0.210 (0.210) Data 0.046 (0.047) Loss 2.2316 (2.2896) Prec@1 46.875 (47.591) Prec@5 72.656 (72.961)
Epoch: [101][3020/5005] Time 0.202 (0.210) Data 0.043 (0.047) Loss 2.2700 (2.2896) Prec@1 47.266 (47.587) Prec@5 71.875 (72.959)
Epoch: [101][3030/5005] Time 0.208 (0.210) Data 0.044 (0.047) Loss 2.3009 (2.2896) Prec@1 49.219 (47.588) Prec@5 75.000 (72.958)
Epoch: [101][3040/5005] Time 0.206 (0.210) Data 0.045 (0.047) Loss 2.0240 (2.2893) Prec@1 53.516 (47.595) Prec@5 75.781 (72.961)
Epoch: [101][3050/5005] Time 0.213 (0.210) Data 0.052 (0.047) Loss 2.3189 (2.2894) Prec@1 44.922 (47.594) Prec@5 74.609 (72.961)
Epoch: [101][3060/5005] Time 0.209 (0.210) Data 0.039 (0.047) Loss 2.1722 (2.2892) Prec@1 48.438 (47.594) Prec@5 74.609 (72.964)
Epoch: [101][3070/5005] Time 0.220 (0.210) Data 0.042 (0.047) Loss 2.1921 (2.2893) Prec@1 48.047 (47.592) Prec@5 73.828 (72.962)
Epoch: [101][3080/5005] Time 0.201 (0.210) Data 0.045 (0.047) Loss 2.2282 (2.2892) Prec@1 43.359 (47.591) Prec@5 74.609 (72.963)
Epoch: [101][3090/5005] Time 0.206 (0.210) Data 0.047 (0.047) Loss 2.4187 (2.2891) Prec@1 41.406 (47.592) Prec@5 71.484 (72.962)
Epoch: [101][3100/5005] Time 0.216 (0.210) Data 0.046 (0.047) Loss 2.4635 (2.2892) Prec@1 44.531 (47.591) Prec@5 69.141 (72.960)
Epoch: [101][3110/5005] Time 0.211 (0.210) Data 0.044 (0.047) Loss 2.1217 (2.2890) Prec@1 51.953 (47.596) Prec@5 75.781 (72.965)
Epoch: [101][3120/5005] Time 0.209 (0.210) Data 0.043 (0.047) Loss 2.3349 (2.2890) Prec@1 46.875 (47.595) Prec@5 69.531 (72.963)
Epoch: [101][3130/5005] Time 0.213 (0.210) Data 0.042 (0.047) Loss 2.3371 (2.2887) Prec@1 47.656 (47.597) Prec@5 71.094 (72.968)
Epoch: [101][3140/5005] Time 0.212 (0.210) Data 0.044 (0.047) Loss 2.1191 (2.2886) Prec@1 51.562 (47.602) Prec@5 74.609 (72.968)
Epoch: [101][3150/5005] Time 0.210 (0.210) Data 0.043 (0.047) Loss 2.2078 (2.2885) Prec@1 49.219 (47.603) Prec@5 74.219 (72.966)
Epoch: [101][3160/5005] Time 0.211 (0.210) Data 0.051 (0.047) Loss 2.0522 (2.2884) Prec@1 49.219 (47.608) Prec@5 77.734 (72.968)
Epoch: [101][3170/5005] Time 0.207 (0.210) Data 0.044 (0.047) Loss 2.2788 (2.2883) Prec@1 49.219 (47.611) Prec@5 71.875 (72.967)
Epoch: [101][3180/5005] Time 0.208 (0.210) Data 0.042 (0.047) Loss 2.1694 (2.2885) Prec@1 50.781 (47.608) Prec@5 71.094 (72.963)
Epoch: [101][3190/5005] Time 0.213 (0.210) Data 0.041 (0.047) Loss 2.2736 (2.2885) Prec@1 46.484 (47.605) Prec@5 71.875 (72.964)
Epoch: [101][3200/5005] Time 0.213 (0.210) Data 0.042 (0.047) Loss 2.3432 (2.2885) Prec@1 46.484 (47.608) Prec@5 71.875 (72.964)
Epoch: [101][3210/5005] Time 0.212 (0.210) Data 0.042 (0.047) Loss 2.3509 (2.2884) Prec@1 46.875 (47.613) Prec@5 70.312 (72.965)
Epoch: [101][3220/5005] Time 0.192 (0.210) Data 0.043 (0.047) Loss 2.4179 (2.2884) Prec@1 50.000 (47.614) Prec@5 68.750 (72.966)
Epoch: [101][3230/5005] Time 0.208 (0.210) Data 0.047 (0.047) Loss 2.2306 (2.2881) Prec@1 49.609 (47.620) Prec@5 72.266 (72.970)
Epoch: [101][3240/5005] Time 0.213 (0.210) Data 0.042 (0.047) Loss 2.5784 (2.2885) Prec@1 44.141 (47.614) Prec@5 67.188 (72.966)
Epoch: [101][3250/5005] Time 0.203 (0.210) Data 0.056 (0.047) Loss 2.2707 (2.2886) Prec@1 48.438 (47.612) Prec@5 75.000 (72.964)
Epoch: [101][3260/5005] Time 0.205 (0.210) Data 0.046 (0.047) Loss 2.3017 (2.2887) Prec@1 45.312 (47.607) Prec@5 71.484 (72.962)
Epoch: [101][3270/5005] Time 0.206 (0.210) Data 0.046 (0.047) Loss 2.3122 (2.2885) Prec@1 50.000 (47.610) Prec@5 71.484 (72.964)
Epoch: [101][3280/5005] Time 0.209 (0.210) Data 0.043 (0.047) Loss 2.0959 (2.2885) Prec@1 51.172 (47.609) Prec@5 75.000 (72.963)
Epoch: [101][3290/5005] Time 0.207 (0.210) Data 0.045 (0.047) Loss 2.4528 (2.2885) Prec@1 42.188 (47.609) Prec@5 71.484 (72.964)
Epoch: [101][3300/5005] Time 0.215 (0.210) Data 0.043 (0.047) Loss 2.3005 (2.2884) Prec@1 46.484 (47.611) Prec@5 74.219 (72.964)
Epoch: [101][3310/5005] Time 0.202 (0.210) Data 0.042 (0.047) Loss 2.1186 (2.2883) Prec@1 48.828 (47.611) Prec@5 73.047 (72.963)
Epoch: [101][3320/5005] Time 0.210 (0.210) Data 0.046 (0.047) Loss 2.2736 (2.2883) Prec@1 48.828 (47.611) Prec@5 73.438 (72.964)
Epoch: [101][3330/5005] Time 0.212 (0.210) Data 0.044 (0.047) Loss 2.3540 (2.2883) Prec@1 45.312 (47.608) Prec@5 73.438 (72.963)
Epoch: [101][3340/5005] Time 0.209 (0.210) Data 0.043 (0.047) Loss 2.3140 (2.2884) Prec@1 47.266 (47.607) Prec@5 72.656 (72.961)
Epoch: [101][3350/5005] Time 0.207 (0.210) Data 0.041 (0.047) Loss 2.4418 (2.2884) Prec@1 44.922 (47.605) Prec@5 70.312 (72.961)
Epoch: [101][3360/5005] Time 0.202 (0.210) Data 0.044 (0.047) Loss 2.1044 (2.2883) Prec@1 52.344 (47.606) Prec@5 77.344 (72.964)
Epoch: [101][3370/5005] Time 0.212 (0.210) Data 0.043 (0.047) Loss 2.3078 (2.2884) Prec@1 44.141 (47.604) Prec@5 69.922 (72.962)
Epoch: [101][3380/5005] Time 0.200 (0.210) Data 0.050 (0.047) Loss 2.2731 (2.2883) Prec@1 48.047 (47.607) Prec@5 74.609 (72.962)
Epoch: [101][3390/5005] Time 0.211 (0.210) Data 0.046 (0.047) Loss 2.0972 (2.2884) Prec@1 51.562 (47.606) Prec@5 76.172 (72.958)
Epoch: [101][3400/5005] Time 0.207 (0.210) Data 0.046 (0.047) Loss 2.1598 (2.2884) Prec@1 50.000 (47.608) Prec@5 76.562 (72.960)
Epoch: [101][3410/5005] Time 0.212 (0.210) Data 0.043 (0.047) Loss 2.2162 (2.2883) Prec@1 48.047 (47.611) Prec@5 72.266 (72.962)
Epoch: [101][3420/5005] Time 0.209 (0.210) Data 0.042 (0.047) Loss 2.2051 (2.2883) Prec@1 51.953 (47.609) Prec@5 74.219 (72.961)
Epoch: [101][3430/5005] Time 0.210 (0.210) Data 0.045 (0.047) Loss 2.1491 (2.2882) Prec@1 50.781 (47.612) Prec@5 71.484 (72.964)
Epoch: [101][3440/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.3532 (2.2882) Prec@1 46.875 (47.613) Prec@5 71.094 (72.964)
Epoch: [101][3450/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.0426 (2.2880) Prec@1 49.609 (47.616) Prec@5 74.219 (72.966)
Epoch: [101][3460/5005] Time 0.204 (0.210) Data 0.046 (0.047) Loss 2.2236 (2.2881) Prec@1 48.047 (47.619) Prec@5 74.219 (72.964)
Epoch: [101][3470/5005] Time 0.217 (0.210) Data 0.042 (0.047) Loss 2.1154 (2.2879) Prec@1 50.391 (47.619) Prec@5 73.828 (72.964)
Epoch: [101][3480/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.2475 (2.2877) Prec@1 48.828 (47.620) Prec@5 73.828 (72.967)
Epoch: [101][3490/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.5601 (2.2879) Prec@1 39.844 (47.617) Prec@5 69.141 (72.967)
Epoch: [101][3500/5005] Time 0.211 (0.210) Data 0.040 (0.047) Loss 2.2577 (2.2879) Prec@1 49.219 (47.614) Prec@5 73.438 (72.965)
Epoch: [101][3510/5005] Time 0.212 (0.210) Data 0.045 (0.047) Loss 2.1048 (2.2877) Prec@1 50.781 (47.618) Prec@5 75.391 (72.966)
Epoch: [101][3520/5005] Time 0.198 (0.210) Data 0.045 (0.047) Loss 2.5342 (2.2878) Prec@1 45.312 (47.614) Prec@5 68.359 (72.963)
Epoch: [101][3530/5005] Time 0.212 (0.210) Data 0.041 (0.047) Loss 2.3166 (2.2878) Prec@1 48.828 (47.618) Prec@5 72.656 (72.962)
Epoch: [101][3540/5005] Time 0.207 (0.210) Data 0.044 (0.047) Loss 2.2230 (2.2876) Prec@1 47.266 (47.619) Prec@5 75.781 (72.965)
Epoch: [101][3550/5005] Time 0.211 (0.210) Data 0.044 (0.047) Loss 2.3678 (2.2875) Prec@1 44.141 (47.623) Prec@5 69.141 (72.966)
Epoch: [101][3560/5005] Time 0.218 (0.210) Data 0.044 (0.047) Loss 2.2782 (2.2873) Prec@1 48.047 (47.624) Prec@5 72.266 (72.969)
Epoch: [101][3570/5005] Time 0.201 (0.210) Data 0.042 (0.047) Loss 2.3282 (2.2873) Prec@1 46.094 (47.624) Prec@5 73.828 (72.970)
Epoch: [101][3580/5005] Time 0.190 (0.210) Data 0.060 (0.047) Loss 2.1158 (2.2874) Prec@1 50.781 (47.624) Prec@5 75.781 (72.968)
Epoch: [101][3590/5005] Time 0.199 (0.210) Data 0.044 (0.047) Loss 2.3755 (2.2871) Prec@1 50.391 (47.633) Prec@5 71.484 (72.972)
Epoch: [101][3600/5005] Time 0.211 (0.210) Data 0.048 (0.047) Loss 2.2802 (2.2870) Prec@1 47.656 (47.634) Prec@5 72.656 (72.973)
Epoch: [101][3610/5005] Time 0.193 (0.210) Data 0.057 (0.047) Loss 2.2602 (2.2870) Prec@1 48.828 (47.631) Prec@5 71.484 (72.972)
Epoch: [101][3620/5005] Time 0.212 (0.210) Data 0.042 (0.047) Loss 2.3706 (2.2868) Prec@1 45.703 (47.634) Prec@5 73.047 (72.976)
Epoch: [101][3630/5005] Time 0.210 (0.210) Data 0.045 (0.047) Loss 2.4441 (2.2868) Prec@1 48.047 (47.635) Prec@5 72.266 (72.977)
Epoch: [101][3640/5005] Time 0.213 (0.210) Data 0.045 (0.047) Loss 2.3225 (2.2868) Prec@1 44.922 (47.636) Prec@5 73.047 (72.977)
Epoch: [101][3650/5005] Time 0.209 (0.210) Data 0.042 (0.047) Loss 2.2143 (2.2869) Prec@1 48.438 (47.634) Prec@5 76.562 (72.974)
Epoch: [101][3660/5005] Time 0.211 (0.210) Data 0.042 (0.047) Loss 2.3002 (2.2867) Prec@1 45.312 (47.636) Prec@5 71.484 (72.978)
Epoch: [101][3670/5005] Time 0.205 (0.210) Data 0.049 (0.047) Loss 2.4647 (2.2868) Prec@1 44.531 (47.636) Prec@5 71.094 (72.976)
Epoch: [101][3680/5005] Time 0.213 (0.210) Data 0.044 (0.047) Loss 2.2188 (2.2869) Prec@1 48.828 (47.637) Prec@5 75.391 (72.975)
Epoch: [101][3690/5005] Time 0.206 (0.210) Data 0.041 (0.047) Loss 2.1568 (2.2869) Prec@1 47.656 (47.636) Prec@5 75.391 (72.978)
Epoch: [101][3700/5005] Time 0.204 (0.210) Data 0.049 (0.047) Loss 2.2245 (2.2869) Prec@1 49.609 (47.636) Prec@5 77.734 (72.980)
Epoch: [101][3710/5005] Time 0.203 (0.210) Data 0.057 (0.047) Loss 2.2683 (2.2868) Prec@1 46.875 (47.637) Prec@5 70.312 (72.981)
Epoch: [101][3720/5005] Time 0.211 (0.210) Data 0.042 (0.047) Loss 2.3697 (2.2868) Prec@1 47.656 (47.638) Prec@5 74.219 (72.983)
Epoch: [101][3730/5005] Time 0.215 (0.210) Data 0.042 (0.047) Loss 2.2053 (2.2867) Prec@1 49.219 (47.638) Prec@5 72.266 (72.984)
Epoch: [101][3740/5005] Time 0.203 (0.210) Data 0.042 (0.047) Loss 2.2482 (2.2864) Prec@1 48.438 (47.644) Prec@5 74.609 (72.989)
Epoch: [101][3750/5005] Time 0.209 (0.210) Data 0.043 (0.047) Loss 1.9900 (2.2865) Prec@1 52.344 (47.643) Prec@5 78.906 (72.988)
Epoch: [101][3760/5005] Time 0.206 (0.210) Data 0.044 (0.047) Loss 2.3721 (2.2867) Prec@1 44.922 (47.638) Prec@5 71.484 (72.986)
Epoch: [101][3770/5005] Time 0.207 (0.210) Data 0.046 (0.047) Loss 2.4638 (2.2866) Prec@1 45.312 (47.639) Prec@5 67.578 (72.986)
Epoch: [101][3780/5005] Time 0.201 (0.210) Data 0.055 (0.047) Loss 2.2229 (2.2865) Prec@1 50.000 (47.638) Prec@5 70.312 (72.987)
Epoch: [101][3790/5005] Time 0.202 (0.210) Data 0.051 (0.047) Loss 2.3017 (2.2865) Prec@1 51.172 (47.639) Prec@5 70.312 (72.986)
Epoch: [101][3800/5005] Time 0.208 (0.210) Data 0.050 (0.047) Loss 2.2440 (2.2866) Prec@1 46.875 (47.637) Prec@5 73.438 (72.985)
Epoch: [101][3810/5005] Time 0.209 (0.210) Data 0.042 (0.047) Loss 2.2425 (2.2867) Prec@1 48.828 (47.637) Prec@5 74.609 (72.985)
Epoch: [101][3820/5005] Time 0.209 (0.210) Data 0.047 (0.047) Loss 2.1744 (2.2865) Prec@1 48.828 (47.642) Prec@5 75.391 (72.989)
Epoch: [101][3830/5005] Time 0.199 (0.210) Data 0.051 (0.047) Loss 2.2174 (2.2863) Prec@1 45.312 (47.641) Prec@5 75.391 (72.992)
Epoch: [101][3840/5005] Time 0.209 (0.210) Data 0.045 (0.047) Loss 2.4232 (2.2864) Prec@1 45.312 (47.638) Prec@5 71.094 (72.989)
Epoch: [101][3850/5005] Time 0.204 (0.210) Data 0.042 (0.047) Loss 2.4514 (2.2864) Prec@1 46.094 (47.636) Prec@5 69.922 (72.990)
Epoch: [101][3860/5005] Time 0.196 (0.210) Data 0.049 (0.047) Loss 1.9730 (2.2865) Prec@1 54.688 (47.637) Prec@5 75.391 (72.988)
Epoch: [101][3870/5005] Time 0.211 (0.210) Data 0.042 (0.047) Loss 2.2007 (2.2865) Prec@1 47.656 (47.632) Prec@5 69.922 (72.986)
Epoch: [101][3880/5005] Time 0.198 (0.210) Data 0.044 (0.047) Loss 2.2143 (2.2865) Prec@1 47.656 (47.633) Prec@5 75.781 (72.987)
Epoch: [101][3890/5005] Time 0.207 (0.210) Data 0.042 (0.047) Loss 2.4944 (2.2865) Prec@1 43.359 (47.632) Prec@5 70.312 (72.986)
Epoch: [101][3900/5005] Time 0.210 (0.210) Data 0.047 (0.047) Loss 2.4933 (2.2865) Prec@1 43.359 (47.629) Prec@5 69.922 (72.987)
Epoch: [101][3910/5005] Time 0.213 (0.210) Data 0.042 (0.047) Loss 2.3514 (2.2865) Prec@1 43.359 (47.629) Prec@5 73.047 (72.986)
Epoch: [101][3920/5005] Time 0.212 (0.210) Data 0.041 (0.047) Loss 2.1544 (2.2864) Prec@1 44.531 (47.629) Prec@5 78.516 (72.986)
Epoch: [101][3930/5005] Time 0.207 (0.210) Data 0.043 (0.047) Loss 2.2697 (2.2863) Prec@1 47.266 (47.630) Prec@5 73.828 (72.990)
Epoch: [101][3940/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.2583 (2.2862) Prec@1 47.266 (47.628) Prec@5 75.781 (72.990)
Epoch: [101][3950/5005] Time 0.211 (0.210) Data 0.044 (0.047) Loss 2.2238 (2.2860) Prec@1 50.391 (47.634) Prec@5 74.609 (72.992)
Epoch: [101][3960/5005] Time 0.211 (0.210) Data 0.044 (0.047) Loss 2.1941 (2.2860) Prec@1 50.391 (47.632) Prec@5 75.000 (72.994)
Epoch: [101][3970/5005] Time 0.201 (0.210) Data 0.041 (0.047) Loss 2.2608 (2.2861) Prec@1 49.219 (47.631) Prec@5 74.219 (72.995)
Epoch: [101][3980/5005] Time 0.207 (0.210) Data 0.044 (0.047) Loss 2.2363 (2.2860) Prec@1 46.875 (47.628) Prec@5 75.781 (72.995)
Epoch: [101][3990/5005] Time 0.213 (0.210) Data 0.042 (0.047) Loss 2.4161 (2.2861) Prec@1 44.141 (47.623) Prec@5 69.922 (72.994)
Epoch: [101][4000/5005] Time 0.201 (0.210) Data 0.039 (0.047) Loss 2.2567 (2.2861) Prec@1 47.266 (47.621) Prec@5 71.484 (72.995)
Epoch: [101][4010/5005] Time 0.212 (0.210) Data 0.045 (0.047) Loss 2.2694 (2.2859) Prec@1 51.172 (47.627) Prec@5 70.312 (72.998)
Epoch: [101][4020/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.4240 (2.2859) Prec@1 45.312 (47.626) Prec@5 69.922 (72.999)
Epoch: [101][4030/5005] Time 0.212 (0.210) Data 0.042 (0.047) Loss 2.4507 (2.2860) Prec@1 44.922 (47.624) Prec@5 68.359 (72.998)
Epoch: [101][4040/5005] Time 0.202 (0.210) Data 0.043 (0.047) Loss 2.3066 (2.2861) Prec@1 46.094 (47.622) Prec@5 72.656 (73.000)
Epoch: [101][4050/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.4374 (2.2859) Prec@1 44.141 (47.625) Prec@5 69.531 (73.002)
Epoch: [101][4060/5005] Time 0.207 (0.210) Data 0.041 (0.047) Loss 2.4288 (2.2859) Prec@1 43.359 (47.622) Prec@5 68.359 (72.998)
Epoch: [101][4070/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.3874 (2.2859) Prec@1 45.703 (47.623) Prec@5 72.656 (73.001)
Epoch: [101][4080/5005] Time 0.202 (0.210) Data 0.043 (0.047) Loss 2.1575 (2.2859) Prec@1 46.875 (47.623) Prec@5 76.172 (73.000)
Epoch: [101][4090/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.3924 (2.2858) Prec@1 46.094 (47.625) Prec@5 71.875 (73.000)
Epoch: [101][4100/5005] Time 0.208 (0.210) Data 0.044 (0.047) Loss 2.2244 (2.2858) Prec@1 50.000 (47.624) Prec@5 72.656 (72.998)
Epoch: [101][4110/5005] Time 0.208 (0.210) Data 0.044 (0.047) Loss 2.4687 (2.2858) Prec@1 44.922 (47.624) Prec@5 69.141 (73.000)
Epoch: [101][4120/5005] Time 0.207 (0.210) Data 0.043 (0.047) Loss 2.1914 (2.2856) Prec@1 48.828 (47.627) Prec@5 73.828 (73.002)
Epoch: [101][4130/5005] Time 0.208 (0.210) Data 0.044 (0.047) Loss 2.4962 (2.2856) Prec@1 44.922 (47.632) Prec@5 66.406 (73.002)
Epoch: [101][4140/5005] Time 0.209 (0.210) Data 0.044 (0.047) Loss 2.3708 (2.2856) Prec@1 50.000 (47.634) Prec@5 71.094 (73.000)
Epoch: [101][4150/5005] Time 0.214 (0.210) Data 0.043 (0.047) Loss 2.5253 (2.2857) Prec@1 45.312 (47.632) Prec@5 71.094 (73.000)
Epoch: [101][4160/5005] Time 0.212 (0.210) Data 0.044 (0.047) Loss 2.1851 (2.2857) Prec@1 47.266 (47.632) Prec@5 75.781 (73.001)
Epoch: [101][4170/5005] Time 0.212 (0.210) Data 0.046 (0.047) Loss 2.2461 (2.2855) Prec@1 46.094 (47.637) Prec@5 73.047 (73.003)
Epoch: [101][4180/5005] Time 0.209 (0.210) Data 0.046 (0.047) Loss 2.1584 (2.2854) Prec@1 51.562 (47.639) Prec@5 75.391 (73.004)
Epoch: [101][4190/5005] Time 0.208 (0.210) Data 0.045 (0.047) Loss 2.1903 (2.2854) Prec@1 50.391 (47.641) Prec@5 74.609 (73.005)
Epoch: [101][4200/5005] Time 0.205 (0.210) Data 0.047 (0.047) Loss 2.0400 (2.2853) Prec@1 50.391 (47.640) Prec@5 76.172 (73.006)
Epoch: [101][4210/5005] Time 0.199 (0.210) Data 0.049 (0.047) Loss 2.1375 (2.2852) Prec@1 50.781 (47.642) Prec@5 75.781 (73.007)
Epoch: [101][4220/5005] Time 0.212 (0.210) Data 0.043 (0.047) Loss 2.3317 (2.2853) Prec@1 44.922 (47.638) Prec@5 69.922 (73.005)
Epoch: [101][4230/5005] Time 0.205 (0.210) Data 0.045 (0.047) Loss 2.4389 (2.2853) Prec@1 41.797 (47.636) Prec@5 69.531 (73.006)
Epoch: [101][4240/5005] Time 0.210 (0.210) Data 0.047 (0.047) Loss 2.0170 (2.2852) Prec@1 53.125 (47.640) Prec@5 76.172 (73.007)
Epoch: [101][4250/5005] Time 0.207 (0.210) Data 0.052 (0.047) Loss 2.1625 (2.2850) Prec@1 51.172 (47.644) Prec@5 75.000 (73.008)
Epoch: [101][4260/5005] Time 0.194 (0.210) Data 0.048 (0.047) Loss 2.1670 (2.2850) Prec@1 50.391 (47.645) Prec@5 75.000 (73.009)
Epoch: [101][4270/5005] Time 0.206 (0.210) Data 0.047 (0.047) Loss 2.4109 (2.2850) Prec@1 48.047 (47.646) Prec@5 74.219 (73.008)
Epoch: [101][4280/5005] Time 0.202 (0.210) Data 0.047 (0.047) Loss 2.3504 (2.2850) Prec@1 51.172 (47.649) Prec@5 73.828 (73.011)
Epoch: [101][4290/5005] Time 0.208 (0.210) Data 0.049 (0.047) Loss 2.3320 (2.2849) Prec@1 47.656 (47.649) Prec@5 71.094 (73.011)
Epoch: [101][4300/5005] Time 0.203 (0.210) Data 0.053 (0.047) Loss 2.0648 (2.2847) Prec@1 50.391 (47.650) Prec@5 78.906 (73.017)
Epoch: [101][4310/5005] Time 0.195 (0.210) Data 0.051 (0.047) Loss 2.2442 (2.2847) Prec@1 47.266 (47.653) Prec@5 75.781 (73.016)
Epoch: [101][4320/5005] Time 0.217 (0.210) Data 0.048 (0.047) Loss 2.2268 (2.2846) Prec@1 48.438 (47.654) Prec@5 75.000 (73.018)
Epoch: [101][4330/5005] Time 0.204 (0.210) Data 0.061 (0.047) Loss 2.1620 (2.2845) Prec@1 50.781 (47.657) Prec@5 76.562 (73.021)
Epoch: [101][4340/5005] Time 0.213 (0.210) Data 0.042 (0.047) Loss 2.2728 (2.2846) Prec@1 44.141 (47.653) Prec@5 74.219 (73.022)
Epoch: [101][4350/5005] Time 0.221 (0.210) Data 0.045 (0.047) Loss 2.3593 (2.2845) Prec@1 49.219 (47.656) Prec@5 71.484 (73.024)
Epoch: [101][4360/5005] Time 0.208 (0.210) Data 0.052 (0.047) Loss 1.9988 (2.2844) Prec@1 52.734 (47.657) Prec@5 77.344 (73.025)
Epoch: [101][4370/5005] Time 0.204 (0.210) Data 0.046 (0.047) Loss 2.3781 (2.2844) Prec@1 48.438 (47.659) Prec@5 68.750 (73.023)
Epoch: [101][4380/5005] Time 0.199 (0.210) Data 0.046 (0.047) Loss 2.5178 (2.2845) Prec@1 41.797 (47.658) Prec@5 67.578 (73.021)
Epoch: [101][4390/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.4658 (2.2844) Prec@1 44.531 (47.662) Prec@5 68.750 (73.023)
Epoch: [101][4400/5005] Time 0.210 (0.210) Data 0.051 (0.047) Loss 2.1928 (2.2843) Prec@1 46.094 (47.663) Prec@5 75.391 (73.023)
Epoch: [101][4410/5005] Time 0.206 (0.210) Data 0.046 (0.047) Loss 2.3204 (2.2841) Prec@1 44.141 (47.665) Prec@5 74.609 (73.026)
Epoch: [101][4420/5005] Time 0.206 (0.210) Data 0.046 (0.047) Loss 1.9576 (2.2839) Prec@1 55.078 (47.668) Prec@5 77.734 (73.029)
Epoch: [101][4430/5005] Time 0.200 (0.210) Data 0.052 (0.047) Loss 2.3294 (2.2837) Prec@1 44.531 (47.672) Prec@5 71.875 (73.029)
Epoch: [101][4440/5005] Time 0.202 (0.210) Data 0.048 (0.047) Loss 2.3801 (2.2838) Prec@1 47.656 (47.673) Prec@5 71.875 (73.028)
Epoch: [101][4450/5005] Time 0.195 (0.210) Data 0.045 (0.047) Loss 2.0872 (2.2837) Prec@1 46.875 (47.675) Prec@5 76.172 (73.028)
Epoch: [101][4460/5005] Time 0.212 (0.210) Data 0.043 (0.047) Loss 2.3900 (2.2836) Prec@1 44.922 (47.674) Prec@5 67.969 (73.028)
Epoch: [101][4470/5005] Time 0.206 (0.210) Data 0.053 (0.047) Loss 2.1014 (2.2835) Prec@1 48.047 (47.675) Prec@5 76.953 (73.031)
Epoch: [101][4480/5005] Time 0.207 (0.210) Data 0.049 (0.047) Loss 2.1438 (2.2837) Prec@1 51.562 (47.674) Prec@5 74.609 (73.030)
Epoch: [101][4490/5005] Time 0.220 (0.210) Data 0.044 (0.047) Loss 2.2933 (2.2837) Prec@1 50.781 (47.674) Prec@5 73.047 (73.028)
Epoch: [101][4500/5005] Time 0.197 (0.210) Data 0.046 (0.047) Loss 2.2822 (2.2838) Prec@1 46.484 (47.675) Prec@5 71.875 (73.027)
Epoch: [101][4510/5005] Time 0.202 (0.210) Data 0.049 (0.047) Loss 2.1646 (2.2837) Prec@1 49.609 (47.678) Prec@5 76.562 (73.027)
Epoch: [101][4520/5005] Time 0.200 (0.210) Data 0.058 (0.047) Loss 2.2432 (2.2835) Prec@1 54.688 (47.682) Prec@5 75.391 (73.029)
Epoch: [101][4530/5005] Time 0.204 (0.210) Data 0.039 (0.047) Loss 2.2489 (2.2835) Prec@1 48.438 (47.682) Prec@5 74.219 (73.028)
Epoch: [101][4540/5005] Time 0.211 (0.209) Data 0.044 (0.047) Loss 2.3563 (2.2837) Prec@1 46.875 (47.680) Prec@5 71.094 (73.024)
Epoch: [101][4550/5005] Time 0.208 (0.209) Data 0.046 (0.047) Loss 2.3061 (2.2836) Prec@1 51.172 (47.681) Prec@5 72.266 (73.025)
Epoch: [101][4560/5005] Time 0.209 (0.209) Data 0.042 (0.047) Loss 2.1840 (2.2836) Prec@1 47.266 (47.681) Prec@5 76.562 (73.027)
Epoch: [101][4570/5005] Time 0.210 (0.209) Data 0.040 (0.047) Loss 2.3341 (2.2835) Prec@1 46.094 (47.686) Prec@5 73.438 (73.027)
Epoch: [101][4580/5005] Time 0.211 (0.209) Data 0.043 (0.047) Loss 2.1882 (2.2834) Prec@1 48.438 (47.688) Prec@5 74.609 (73.029)
Epoch: [101][4590/5005] Time 0.210 (0.209) Data 0.042 (0.047) Loss 2.0245 (2.2833) Prec@1 51.953 (47.688) Prec@5 77.734 (73.029)
Epoch: [101][4600/5005] Time 0.214 (0.209) Data 0.042 (0.047) Loss 1.9524 (2.2833) Prec@1 58.594 (47.692) Prec@5 79.297 (73.030)
Epoch: [101][4610/5005] Time 0.214 (0.209) Data 0.048 (0.047) Loss 2.1273 (2.2832) Prec@1 51.172 (47.694) Prec@5 72.266 (73.030)
Epoch: [101][4620/5005] Time 0.200 (0.209) Data 0.052 (0.047) Loss 2.1220 (2.2831) Prec@1 51.172 (47.697) Prec@5 70.703 (73.029)
Epoch: [101][4630/5005] Time 0.203 (0.209) Data 0.064 (0.047) Loss 2.0794 (2.2829) Prec@1 51.953 (47.701) Prec@5 76.172 (73.034)
Epoch: [101][4640/5005] Time 0.206 (0.209) Data 0.050 (0.047) Loss 2.2910 (2.2829) Prec@1 44.922 (47.700) Prec@5 71.875 (73.035)
Epoch: [101][4650/5005] Time 0.223 (0.209) Data 0.049 (0.047) Loss 2.2835 (2.2828) Prec@1 49.219 (47.703) Prec@5 71.094 (73.036)
Epoch: [101][4660/5005] Time 0.209 (0.209) Data 0.046 (0.047) Loss 2.5442 (2.2828) Prec@1 45.312 (47.705) Prec@5 63.672 (73.033)
Epoch: [101][4670/5005] Time 0.211 (0.209) Data 0.044 (0.047) Loss 2.3558 (2.2827) Prec@1 42.188 (47.706) Prec@5 71.875 (73.034)
Epoch: [101][4680/5005] Time 0.199 (0.209) Data 0.043 (0.047) Loss 2.2025 (2.2827) Prec@1 48.047 (47.706) Prec@5 77.344 (73.034)
Epoch: [101][4690/5005] Time 0.220 (0.209) Data 0.047 (0.047) Loss 2.2257 (2.2828) Prec@1 48.047 (47.705) Prec@5 74.219 (73.033)
Epoch: [101][4700/5005] Time 0.207 (0.209) Data 0.052 (0.047) Loss 2.2390 (2.2828) Prec@1 51.172 (47.706) Prec@5 73.828 (73.033)
Epoch: [101][4710/5005] Time 0.215 (0.209) Data 0.048 (0.047) Loss 2.2952 (2.2826) Prec@1 50.000 (47.707) Prec@5 74.609 (73.036)
Epoch: [101][4720/5005] Time 0.209 (0.209) Data 0.044 (0.047) Loss 2.1632 (2.2826) Prec@1 55.078 (47.708) Prec@5 73.828 (73.036)
Epoch: [101][4730/5005] Time 0.208 (0.209) Data 0.044 (0.047) Loss 2.3513 (2.2828) Prec@1 45.312 (47.705) Prec@5 74.609 (73.032)
Epoch: [101][4740/5005] Time 0.196 (0.209) Data 0.044 (0.047) Loss 2.2087 (2.2827) Prec@1 45.703 (47.708) Prec@5 75.781 (73.034)
Epoch: [101][4750/5005] Time 0.210 (0.209) Data 0.043 (0.047) Loss 2.3375 (2.2825) Prec@1 46.484 (47.712) Prec@5 70.312 (73.037)
Epoch: [101][4760/5005] Time 0.201 (0.209) Data 0.043 (0.047) Loss 2.4567 (2.2824) Prec@1 44.922 (47.714) Prec@5 71.094 (73.037)
Epoch: [101][4770/5005] Time 0.211 (0.209) Data 0.045 (0.047) Loss 2.1453 (2.2824) Prec@1 50.391 (47.715) Prec@5 77.344 (73.039)
Epoch: [101][4780/5005] Time 0.202 (0.209) Data 0.054 (0.047) Loss 2.4256 (2.2824) Prec@1 45.703 (47.715) Prec@5 72.266 (73.040)
Epoch: [101][4790/5005] Time 0.204 (0.209) Data 0.046 (0.047) Loss 2.6799 (2.2825) Prec@1 43.359 (47.714) Prec@5 69.531 (73.040)
Epoch: [101][4800/5005] Time 0.208 (0.209) Data 0.045 (0.047) Loss 2.3796 (2.2824) Prec@1 47.656 (47.714) Prec@5 71.484 (73.043)
Epoch: [101][4810/5005] Time 0.198 (0.209) Data 0.059 (0.047) Loss 2.4438 (2.2822) Prec@1 42.578 (47.713) Prec@5 69.141 (73.045)
Epoch: [101][4820/5005] Time 0.203 (0.209) Data 0.052 (0.047) Loss 2.3992 (2.2822) Prec@1 48.438 (47.713) Prec@5 72.656 (73.047)
Epoch: [101][4830/5005] Time 0.205 (0.209) Data 0.044 (0.047) Loss 2.2706 (2.2821) Prec@1 50.781 (47.714) Prec@5 74.219 (73.049)
Epoch: [101][4840/5005] Time 0.213 (0.209) Data 0.047 (0.047) Loss 2.0182 (2.2821) Prec@1 53.516 (47.712) Prec@5 77.344 (73.048)
Epoch: [101][4850/5005] Time 0.210 (0.209) Data 0.044 (0.047) Loss 2.3365 (2.2822) Prec@1 49.219 (47.710) Prec@5 71.484 (73.046)
Epoch: [101][4860/5005] Time 0.205 (0.209) Data 0.047 (0.047) Loss 2.2501 (2.2821) Prec@1 48.047 (47.713) Prec@5 73.047 (73.048)
Epoch: [101][4870/5005] Time 0.201 (0.209) Data 0.044 (0.047) Loss 2.0824 (2.2821) Prec@1 50.781 (47.714) Prec@5 75.391 (73.049)
Epoch: [101][4880/5005] Time 0.207 (0.209) Data 0.050 (0.047) Loss 2.2024 (2.2820) Prec@1 53.125 (47.717) Prec@5 73.438 (73.052)
Epoch: [101][4890/5005] Time 0.212 (0.209) Data 0.043 (0.047) Loss 2.3789 (2.2819) Prec@1 44.141 (47.717) Prec@5 73.828 (73.054)
Epoch: [101][4900/5005] Time 0.212 (0.209) Data 0.048 (0.047) Loss 2.1156 (2.2818) Prec@1 50.781 (47.719) Prec@5 75.391 (73.055)
Epoch: [101][4910/5005] Time 0.218 (0.209) Data 0.043 (0.047) Loss 2.3053 (2.2816) Prec@1 49.609 (47.722) Prec@5 71.094 (73.057)
Epoch: [101][4920/5005] Time 0.202 (0.209) Data 0.041 (0.047) Loss 2.0953 (2.2816) Prec@1 50.000 (47.723) Prec@5 75.391 (73.059)
Epoch: [101][4930/5005] Time 0.211 (0.209) Data 0.043 (0.047) Loss 2.2707 (2.2815) Prec@1 48.438 (47.725) Prec@5 73.438 (73.061)
Epoch: [101][4940/5005] Time 0.209 (0.209) Data 0.047 (0.047) Loss 2.2556 (2.2816) Prec@1 48.828 (47.723) Prec@5 71.484 (73.058)
Epoch: [101][4950/5005] Time 0.211 (0.209) Data 0.043 (0.047) Loss 1.9797 (2.2816) Prec@1 51.953 (47.720) Prec@5 78.125 (73.058)
Epoch: [101][4960/5005] Time 0.209 (0.209) Data 0.046 (0.047) Loss 2.4994 (2.2816) Prec@1 42.578 (47.719) Prec@5 71.484 (73.061)
Epoch: [101][4970/5005] Time 0.206 (0.209) Data 0.040 (0.047) Loss 2.2933 (2.2815) Prec@1 44.922 (47.721) Prec@5 73.438 (73.063)
Epoch: [101][4980/5005] Time 0.203 (0.209) Data 0.043 (0.047) Loss 2.3255 (2.2814) Prec@1 46.484 (47.719) Prec@5 74.219 (73.065)
Epoch: [101][4990/5005] Time 0.204 (0.209) Data 0.032 (0.047) Loss 2.4105 (2.2815) Prec@1 44.531 (47.719) Prec@5 67.188 (73.064)
Epoch: [101][5000/5005] Time 0.205 (0.209) Data 0.021 (0.047) Loss 2.3767 (2.2814) Prec@1 40.625 (47.718) Prec@5 69.141 (73.064)
Test: [0/196] Time 1.861 (1.861) Loss 2.3923 (2.3923) Prec@1 47.656 (47.656) Prec@5 73.828 (73.828)
Test: [10/196] Time 0.044 (0.304) Loss 2.4417 (2.5545) Prec@1 48.438 (43.857) Prec@5 71.094 (69.709)
Test: [20/196] Time 0.044 (0.235) Loss 2.4630 (2.5640) Prec@1 47.656 (43.750) Prec@5 71.484 (69.438)
Test: [30/196] Time 0.041 (0.213) Loss 2.4279 (2.5664) Prec@1 45.312 (43.435) Prec@5 71.875 (69.153)
Test: [40/196] Time 0.043 (0.197) Loss 2.3236 (2.5604) Prec@1 49.609 (43.760) Prec@5 73.047 (69.217)
Test: [50/196] Time 0.511 (0.201) Loss 2.5914 (2.5584) Prec@1 48.047 (43.896) Prec@5 69.922 (69.416)
Test: [60/196] Time 0.042 (0.194) Loss 2.4656 (2.5433) Prec@1 46.094 (44.179) Prec@5 70.312 (69.570)
Test: [70/196] Time 0.042 (0.195) Loss 2.4871 (2.5372) Prec@1 45.312 (44.229) Prec@5 67.969 (69.542)
Test: [80/196] Time 0.053 (0.195) Loss 2.4094 (2.5435) Prec@1 50.391 (44.324) Prec@5 75.000 (69.522)
Test: [90/196] Time 0.045 (0.186) Loss 2.6546 (2.5462) Prec@1 45.312 (44.372) Prec@5 67.969 (69.467)
Test: [100/196] Time 0.085 (0.183) Loss 2.5328 (2.5427) Prec@1 46.484 (44.527) Prec@5 68.359 (69.466)
Test: [110/196] Time 0.311 (0.184) Loss 2.7576 (2.5445) Prec@1 39.062 (44.482) Prec@5 63.672 (69.450)
Test: [120/196] Time 0.440 (0.183) Loss 2.4093 (2.5424) Prec@1 44.531 (44.502) Prec@5 71.875 (69.473)
Test: [130/196] Time 0.044 (0.185) Loss 2.2068 (2.5380) Prec@1 49.609 (44.639) Prec@5 74.609 (69.510)
Test: [140/196] Time 0.331 (0.185) Loss 2.3227 (2.5404) Prec@1 50.781 (44.542) Prec@5 70.703 (69.456)
Test: [150/196] Time 0.288 (0.181) Loss 2.1883 (2.5394) Prec@1 47.656 (44.492) Prec@5 79.297 (69.500)
Test: [160/196] Time 0.084 (0.180) Loss 2.4677 (2.5382) Prec@1 48.438 (44.500) Prec@5 72.266 (69.558)
Test: [170/196] Time 0.043 (0.181) Loss 2.4341 (2.5395) Prec@1 41.797 (44.497) Prec@5 71.484 (69.545)
Test: [180/196] Time 0.041 (0.180) Loss 2.7499 (2.5441) Prec@1 39.844 (44.369) Prec@5 67.188 (69.469)
Test: [190/196] Time 0.183 (0.180) Loss 2.7240 (2.5470) Prec@1 42.188 (44.329) Prec@5 65.234 (69.351)
* Prec@1 44.322 Prec@5 69.362
Learning rate: 1e-07
Epoch: [102][0/5005] Time 1.079 (1.079) Data 0.944 (0.944) Loss 2.3706 (2.3706) Prec@1 45.703 (45.703) Prec@5 71.875 (71.875)
Epoch: [102][10/5005] Time 0.199 (0.283) Data 0.045 (0.130) Loss 2.1440 (2.3162) Prec@1 51.172 (45.668) Prec@5 75.781 (72.088)
Epoch: [102][20/5005] Time 0.200 (0.244) Data 0.047 (0.091) Loss 2.4855 (2.3154) Prec@1 47.656 (45.945) Prec@5 70.312 (72.247)
Epoch: [102][30/5005] Time 0.194 (0.230) Data 0.057 (0.077) Loss 2.3453 (2.2879) Prec@1 44.531 (46.850) Prec@5 67.578 (72.492)
Epoch: [102][40/5005] Time 0.208 (0.224) Data 0.042 (0.069) Loss 2.2651 (2.2917) Prec@1 47.656 (46.856) Prec@5 71.875 (72.704)
Epoch: [102][50/5005] Time 0.205 (0.220) Data 0.043 (0.065) Loss 2.1576 (2.2918) Prec@1 46.875 (46.844) Prec@5 76.953 (72.786)
Epoch: [102][60/5005] Time 0.208 (0.217) Data 0.043 (0.062) Loss 2.2168 (2.2917) Prec@1 47.656 (46.907) Prec@5 76.562 (72.797)
Epoch: [102][70/5005] Time 0.199 (0.215) Data 0.048 (0.060) Loss 2.3434 (2.3029) Prec@1 45.703 (46.677) Prec@5 74.609 (72.645)
Epoch: [102][80/5005] Time 0.194 (0.214) Data 0.047 (0.059) Loss 2.2119 (2.2956) Prec@1 50.781 (46.827) Prec@5 73.438 (72.733)
Epoch: [102][90/5005] Time 0.198 (0.212) Data 0.043 (0.058) Loss 2.2584 (2.2888) Prec@1 51.172 (47.064) Prec@5 73.438 (72.828)
Epoch: [102][100/5005] Time 0.199 (0.211) Data 0.046 (0.056) Loss 2.1212 (2.2917) Prec@1 48.438 (47.076) Prec@5 76.562 (72.838)
Epoch: [102][110/5005] Time 0.197 (0.210) Data 0.049 (0.056) Loss 2.5146 (2.2966) Prec@1 45.703 (47.174) Prec@5 69.141 (72.744)
Epoch: [102][120/5005] Time 0.197 (0.210) Data 0.051 (0.055) Loss 2.3366 (2.2979) Prec@1 44.141 (47.162) Prec@5 70.312 (72.685)
Epoch: [102][130/5005] Time 0.199 (0.209) Data 0.050 (0.055) Loss 2.4478 (2.2987) Prec@1 42.969 (47.203) Prec@5 70.312 (72.674)
Epoch: [102][140/5005] Time 0.208 (0.208) Data 0.043 (0.054) Loss 2.2698 (2.2963) Prec@1 49.219 (47.205) Prec@5 73.438 (72.789)
Epoch: [102][150/5005] Time 0.213 (0.208) Data 0.044 (0.054) Loss 2.3981 (2.2981) Prec@1 41.406 (47.172) Prec@5 71.875 (72.817)
Epoch: [102][160/5005] Time 0.206 (0.208) Data 0.043 (0.053) Loss 2.1146 (2.3003) Prec@1 48.828 (47.139) Prec@5 77.734 (72.858)
Epoch: [102][170/5005] Time 0.208 (0.208) Data 0.046 (0.053) Loss 2.3614 (2.3002) Prec@1 47.656 (47.229) Prec@5 70.312 (72.800)
Epoch: [102][180/5005] Time 0.221 (0.208) Data 0.047 (0.052) Loss 2.4891 (2.3026) Prec@1 47.266 (47.225) Prec@5 68.750 (72.756)
Epoch: [102][190/5005] Time 0.214 (0.209) Data 0.041 (0.052) Loss 2.3963 (2.3066) Prec@1 43.359 (47.082) Prec@5 69.922 (72.689)
Epoch: [102][200/5005] Time 0.221 (0.210) Data 0.043 (0.051) Loss 2.5463 (2.3094) Prec@1 41.406 (47.023) Prec@5 71.094 (72.617)
Epoch: [102][210/5005] Time 0.223 (0.210) Data 0.042 (0.051) Loss 2.1149 (2.3070) Prec@1 50.391 (47.082) Prec@5 76.172 (72.627)
Epoch: [102][220/5005] Time 0.219 (0.211) Data 0.047 (0.051) Loss 2.2887 (2.3076) Prec@1 48.828 (47.112) Prec@5 73.047 (72.632)
Epoch: [102][230/5005] Time 0.215 (0.211) Data 0.043 (0.050) Loss 2.3753 (2.3062) Prec@1 51.562 (47.228) Prec@5 73.047 (72.668)
Epoch: [102][240/5005] Time 0.218 (0.211) Data 0.042 (0.050) Loss 2.2453 (2.3046) Prec@1 51.562 (47.292) Prec@5 73.047 (72.705)
Epoch: [102][250/5005] Time 0.215 (0.211) Data 0.043 (0.050) Loss 2.3213 (2.3035) Prec@1 45.703 (47.328) Prec@5 72.266 (72.706)
Epoch: [102][260/5005] Time 0.218 (0.212) Data 0.042 (0.050) Loss 2.1349 (2.3017) Prec@1 47.656 (47.369) Prec@5 76.172 (72.742)
Epoch: [102][270/5005] Time 0.218 (0.212) Data 0.043 (0.050) Loss 2.3238 (2.3018) Prec@1 51.172 (47.362) Prec@5 73.047 (72.750)
Epoch: [102][280/5005] Time 0.212 (0.212) Data 0.058 (0.049) Loss 2.6838 (2.3043) Prec@1 39.453 (47.305) Prec@5 69.141 (72.716)
Epoch: [102][290/5005] Time 0.201 (0.212) Data 0.053 (0.050) Loss 2.1386 (2.3070) Prec@1 50.781 (47.220) Prec@5 77.344 (72.652)
Epoch: [102][300/5005] Time 0.214 (0.212) Data 0.046 (0.049) Loss 2.0668 (2.3055) Prec@1 49.609 (47.245) Prec@5 77.734 (72.700)
Epoch: [102][310/5005] Time 0.214 (0.212) Data 0.062 (0.049) Loss 2.1509 (2.3028) Prec@1 48.828 (47.289) Prec@5 75.000 (72.715)
Epoch: [102][320/5005] Time 0.216 (0.212) Data 0.042 (0.049) Loss 2.6387 (2.3047) Prec@1 42.578 (47.272) Prec@5 68.750 (72.695)
Epoch: [102][330/5005] Time 0.218 (0.212) Data 0.049 (0.049) Loss 2.0738 (2.3023) Prec@1 50.391 (47.316) Prec@5 76.953 (72.744)
Epoch: [102][340/5005] Time 0.205 (0.212) Data 0.050 (0.049) Loss 2.4545 (2.3050) Prec@1 47.266 (47.278) Prec@5 72.266 (72.702)
Epoch: [102][350/5005] Time 0.220 (0.212) Data 0.046 (0.049) Loss 2.5171 (2.3048) Prec@1 46.484 (47.293) Prec@5 67.969 (72.704)
Epoch: [102][360/5005] Time 0.212 (0.212) Data 0.045 (0.049) Loss 2.4588 (2.3049) Prec@1 44.531 (47.288) Prec@5 67.578 (72.694)
Epoch: [102][370/5005] Time 0.214 (0.212) Data 0.048 (0.049) Loss 2.4311 (2.3027) Prec@1 42.578 (47.325) Prec@5 71.484 (72.729)
Epoch: [102][380/5005] Time 0.209 (0.212) Data 0.042 (0.049) Loss 2.5014 (2.3031) Prec@1 44.922 (47.302) Prec@5 68.750 (72.735)
Epoch: [102][390/5005] Time 0.211 (0.212) Data 0.063 (0.049) Loss 2.2369 (2.3030) Prec@1 48.828 (47.314) Prec@5 74.219 (72.719)
Epoch: [102][400/5005] Time 0.215 (0.212) Data 0.050 (0.049) Loss 2.2427 (2.3014) Prec@1 47.656 (47.312) Prec@5 72.656 (72.732)
Epoch: [102][410/5005] Time 0.207 (0.212) Data 0.050 (0.049) Loss 2.2031 (2.3009) Prec@1 46.484 (47.317) Prec@5 76.172 (72.751)
Epoch: [102][420/5005] Time 0.219 (0.212) Data 0.046 (0.049) Loss 2.1452 (2.2999) Prec@1 52.734 (47.345) Prec@5 75.781 (72.781)
Epoch: [102][430/5005] Time 0.216 (0.212) Data 0.047 (0.049) Loss 2.1806 (2.3000) Prec@1 50.781 (47.339) Prec@5 77.734 (72.782)
Epoch: [102][440/5005] Time 0.209 (0.212) Data 0.043 (0.049) Loss 2.2988 (2.2995) Prec@1 48.438 (47.344) Prec@5 73.047 (72.786)
Epoch: [102][450/5005] Time 0.210 (0.212) Data 0.043 (0.049) Loss 2.1278 (2.2999) Prec@1 49.609 (47.341) Prec@5 73.828 (72.800)
Epoch: [102][460/5005] Time 0.209 (0.212) Data 0.041 (0.049) Loss 2.4029 (2.3006) Prec@1 44.141 (47.326) Prec@5 71.875 (72.794)
Epoch: [102][470/5005] Time 0.199 (0.212) Data 0.047 (0.049) Loss 2.3513 (2.3020) Prec@1 42.969 (47.305) Prec@5 71.484 (72.751)
Epoch: [102][480/5005] Time 0.202 (0.212) Data 0.044 (0.049) Loss 2.3769 (2.3022) Prec@1 47.656 (47.308) Prec@5 70.703 (72.749)
Epoch: [102][490/5005] Time 0.208 (0.212) Data 0.053 (0.049) Loss 2.2352 (2.3019) Prec@1 53.125 (47.303) Prec@5 73.828 (72.748)
Epoch: [102][500/5005] Time 0.212 (0.212) Data 0.057 (0.049) Loss 2.5528 (2.3035) Prec@1 49.609 (47.298) Prec@5 67.188 (72.721)
Epoch: [102][510/5005] Time 0.214 (0.212) Data 0.044 (0.049) Loss 2.6423 (2.3039) Prec@1 42.188 (47.308) Prec@5 66.406 (72.698)
Epoch: [102][520/5005] Time 0.216 (0.212) Data 0.042 (0.049) Loss 2.3173 (2.3038) Prec@1 46.094 (47.286) Prec@5 75.000 (72.715)
Epoch: [102][530/5005] Time 0.211 (0.212) Data 0.040 (0.048) Loss 2.3092 (2.3042) Prec@1 46.484 (47.277) Prec@5 76.172 (72.711)
Epoch: [102][540/5005] Time 0.213 (0.212) Data 0.041 (0.048) Loss 2.3768 (2.3052) Prec@1 50.000 (47.269) Prec@5 71.484 (72.697)
Epoch: [102][550/5005] Time 0.205 (0.212) Data 0.043 (0.048) Loss 2.1292 (2.3045) Prec@1 48.047 (47.283) Prec@5 78.125 (72.724)
Epoch: [102][560/5005] Time 0.210 (0.212) Data 0.041 (0.049) Loss 2.4244 (2.3045) Prec@1 44.531 (47.287) Prec@5 70.703 (72.735)
Epoch: [102][570/5005] Time 0.210 (0.212) Data 0.050 (0.049) Loss 2.4308 (2.3053) Prec@1 43.750 (47.257) Prec@5 69.141 (72.716)
Epoch: [102][580/5005] Time 0.210 (0.212) Data 0.062 (0.049) Loss 2.3037 (2.3048) Prec@1 48.438 (47.265) Prec@5 73.438 (72.728)
Epoch: [102][590/5005] Time 0.205 (0.212) Data 0.045 (0.049) Loss 2.4790 (2.3048) Prec@1 41.797 (47.259) Prec@5 69.922 (72.729)
Epoch: [102][600/5005] Time 0.210 (0.212) Data 0.049 (0.049) Loss 2.2513 (2.3057) Prec@1 46.875 (47.251) Prec@5 74.609 (72.723)
Epoch: [102][610/5005] Time 0.210 (0.212) Data 0.047 (0.049) Loss 2.2057 (2.3063) Prec@1 48.047 (47.241) Prec@5 79.297 (72.734)
Epoch: [102][620/5005] Time 0.215 (0.212) Data 0.049 (0.049) Loss 2.2957 (2.3063) Prec@1 47.266 (47.258) Prec@5 71.484 (72.738)
Epoch: [102][630/5005] Time 0.214 (0.212) Data 0.047 (0.049) Loss 2.5514 (2.3062) Prec@1 43.750 (47.295) Prec@5 70.703 (72.733)
Epoch: [102][640/5005] Time 0.213 (0.212) Data 0.046 (0.049) Loss 2.2867 (2.3060) Prec@1 48.828 (47.291) Prec@5 70.312 (72.720)
Epoch: [102][650/5005] Time 0.199 (0.212) Data 0.044 (0.049) Loss 2.3521 (2.3069) Prec@1 44.922 (47.281) Prec@5 70.312 (72.712)
Epoch: [102][660/5005] Time 0.216 (0.212) Data 0.044 (0.049) Loss 2.4820 (2.3066) Prec@1 45.312 (47.302) Prec@5 73.047 (72.724)
Epoch: [102][670/5005] Time 0.219 (0.212) Data 0.045 (0.049) Loss 2.4971 (2.3064) Prec@1 46.094 (47.321) Prec@5 72.266 (72.723)
Epoch: [102][680/5005] Time 0.207 (0.212) Data 0.044 (0.049) Loss 2.2956 (2.3062) Prec@1 50.391 (47.321) Prec@5 74.609 (72.743)
Epoch: [102][690/5005] Time 0.205 (0.212) Data 0.047 (0.049) Loss 2.1319 (2.3055) Prec@1 51.562 (47.329) Prec@5 76.562 (72.746)
Epoch: [102][700/5005] Time 0.208 (0.212) Data 0.045 (0.049) Loss 2.3234 (2.3054) Prec@1 46.484 (47.326) Prec@5 71.484 (72.744)
Epoch: [102][710/5005] Time 0.208 (0.212) Data 0.051 (0.049) Loss 2.1657 (2.3059) Prec@1 51.172 (47.328) Prec@5 73.438 (72.727)
Epoch: [102][720/5005] Time 0.216 (0.212) Data 0.042 (0.049) Loss 2.1795 (2.3054) Prec@1 47.656 (47.332) Prec@5 74.609 (72.726)
Epoch: [102][730/5005] Time 0.209 (0.212) Data 0.042 (0.048) Loss 2.2544 (2.3057) Prec@1 48.047 (47.308) Prec@5 75.000 (72.735)
Epoch: [102][740/5005] Time 0.205 (0.212) Data 0.045 (0.048) Loss 2.4031 (2.3059) Prec@1 46.875 (47.306) Prec@5 72.656 (72.727)
Epoch: [102][750/5005] Time 0.216 (0.212) Data 0.044 (0.048) Loss 2.2152 (2.3065) Prec@1 50.781 (47.298) Prec@5 72.266 (72.716)
Epoch: [102][760/5005] Time 0.210 (0.212) Data 0.050 (0.048) Loss 2.3733 (2.3059) Prec@1 45.312 (47.306) Prec@5 73.438 (72.712)
Epoch: [102][770/5005] Time 0.214 (0.212) Data 0.045 (0.048) Loss 2.2639 (2.3048) Prec@1 44.531 (47.325) Prec@5 73.047 (72.726)
Epoch: [102][780/5005] Time 0.211 (0.212) Data 0.046 (0.048) Loss 2.3529 (2.3049) Prec@1 44.922 (47.322) Prec@5 70.312 (72.720)
Epoch: [102][790/5005] Time 0.212 (0.212) Data 0.045 (0.048) Loss 2.3040 (2.3049) Prec@1 48.828 (47.323) Prec@5 73.047 (72.718)
Epoch: [102][800/5005] Time 0.211 (0.212) Data 0.046 (0.048) Loss 2.1407 (2.3038) Prec@1 51.562 (47.339) Prec@5 75.000 (72.737)
Epoch: [102][810/5005] Time 0.214 (0.211) Data 0.047 (0.048) Loss 2.3250 (2.3043) Prec@1 45.703 (47.339) Prec@5 72.266 (72.726)
Epoch: [102][820/5005] Time 0.211 (0.211) Data 0.043 (0.048) Loss 2.4189 (2.3045) Prec@1 45.703 (47.328) Prec@5 71.875 (72.730)
Epoch: [102][830/5005] Time 0.210 (0.212) Data 0.041 (0.048) Loss 2.2431 (2.3046) Prec@1 50.391 (47.328) Prec@5 73.047 (72.724)
Epoch: [102][840/5005] Time 0.214 (0.212) Data 0.043 (0.048) Loss 2.4311 (2.3043) Prec@1 45.703 (47.331) Prec@5 66.797 (72.731)
Epoch: [102][850/5005] Time 0.215 (0.212) Data 0.046 (0.048) Loss 2.4477 (2.3040) Prec@1 47.656 (47.339) Prec@5 71.484 (72.722)
Epoch: [102][860/5005] Time 0.215 (0.211) Data 0.046 (0.048) Loss 2.3455 (2.3043) Prec@1 44.531 (47.332) Prec@5 72.656 (72.711)
Epoch: [102][870/5005] Time 0.212 (0.211) Data 0.043 (0.048) Loss 2.2856 (2.3037) Prec@1 47.656 (47.346) Prec@5 72.266 (72.718)
Epoch: [102][880/5005] Time 0.212 (0.211) Data 0.043 (0.048) Loss 2.3071 (2.3042) Prec@1 42.578 (47.341) Prec@5 72.656 (72.712)
Epoch: [102][890/5005] Time 0.211 (0.212) Data 0.042 (0.048) Loss 2.5909 (2.3040) Prec@1 41.016 (47.340) Prec@5 67.578 (72.706)
Epoch: [102][900/5005] Time 0.210 (0.212) Data 0.056 (0.048) Loss 2.1139 (2.3032) Prec@1 48.047 (47.343) Prec@5 77.734 (72.728)
Epoch: [102][910/5005] Time 0.213 (0.212) Data 0.043 (0.048) Loss 2.2444 (2.3033) Prec@1 47.266 (47.335) Prec@5 77.734 (72.736)
Epoch: [102][920/5005] Time 0.212 (0.212) Data 0.042 (0.048) Loss 2.3129 (2.3027) Prec@1 48.438 (47.356) Prec@5 73.047 (72.742)
Epoch: [102][930/5005] Time 0.213 (0.212) Data 0.044 (0.048) Loss 2.3124 (2.3024) Prec@1 47.656 (47.367) Prec@5 70.703 (72.745)
Epoch: [102][940/5005] Time 0.215 (0.212) Data 0.044 (0.048) Loss 2.1641 (2.3024) Prec@1 48.828 (47.377) Prec@5 74.609 (72.744)
Epoch: [102][950/5005] Time 0.203 (0.212) Data 0.042 (0.048) Loss 2.2967 (2.3032) Prec@1 48.047 (47.368) Prec@5 73.438 (72.730)
Epoch: [102][960/5005] Time 0.213 (0.212) Data 0.048 (0.048) Loss 2.5760 (2.3033) Prec@1 43.359 (47.361) Prec@5 67.578 (72.729)
Epoch: [102][970/5005] Time 0.206 (0.212) Data 0.050 (0.048) Loss 2.1372 (2.3032) Prec@1 50.781 (47.357) Prec@5 74.609 (72.737)
Epoch: [102][980/5005] Time 0.198 (0.212) Data 0.050 (0.048) Loss 2.2225 (2.3028) Prec@1 48.438 (47.356) Prec@5 72.656 (72.742)
Epoch: [102][990/5005] Time 0.215 (0.212) Data 0.045 (0.048) Loss 2.3477 (2.3033) Prec@1 50.391 (47.350) Prec@5 71.875 (72.731)
Epoch: [102][1000/5005] Time 0.209 (0.212) Data 0.041 (0.048) Loss 2.4357 (2.3032) Prec@1 48.438 (47.351) Prec@5 69.922 (72.726)
Epoch: [102][1010/5005] Time 0.200 (0.212) Data 0.041 (0.048) Loss 2.3883 (2.3033) Prec@1 45.703 (47.353) Prec@5 69.922 (72.718)
Epoch: [102][1020/5005] Time 0.196 (0.213) Data 0.049 (0.048) Loss 2.0410 (2.3035) Prec@1 51.953 (47.351) Prec@5 77.344 (72.714)
Epoch: [102][1030/5005] Time 0.197 (0.213) Data 0.049 (0.048) Loss 2.3574 (2.3033) Prec@1 43.750 (47.349) Prec@5 71.875 (72.712)
Epoch: [102][1040/5005] Time 0.201 (0.213) Data 0.046 (0.048) Loss 2.3825 (2.3037) Prec@1 46.875 (47.335) Prec@5 73.828 (72.700)
Epoch: [102][1050/5005] Time 0.201 (0.212) Data 0.057 (0.048) Loss 2.4476 (2.3039) Prec@1 45.312 (47.331) Prec@5 73.438 (72.703)
Epoch: [102][1060/5005] Time 0.212 (0.212) Data 0.044 (0.048) Loss 2.4616 (2.3045) Prec@1 44.922 (47.325) Prec@5 69.922 (72.692)
Epoch: [102][1070/5005] Time 0.210 (0.212) Data 0.043 (0.048) Loss 2.3602 (2.3046) Prec@1 43.750 (47.326) Prec@5 73.438 (72.688)
Epoch: [102][1080/5005] Time 0.215 (0.212) Data 0.044 (0.048) Loss 2.2580 (2.3048) Prec@1 45.703 (47.327) Prec@5 76.172 (72.689)
Epoch: [102][1090/5005] Time 0.216 (0.212) Data 0.049 (0.048) Loss 2.1462 (2.3044) Prec@1 47.656 (47.334) Prec@5 76.953 (72.696)
Epoch: [102][1100/5005] Time 0.211 (0.212) Data 0.041 (0.048) Loss 2.1509 (2.3036) Prec@1 55.078 (47.349) Prec@5 73.828 (72.712)
Epoch: [102][1110/5005] Time 0.208 (0.212) Data 0.053 (0.048) Loss 2.3387 (2.3035) Prec@1 46.094 (47.354) Prec@5 74.219 (72.714)
Epoch: [102][1120/5005] Time 0.199 (0.212) Data 0.050 (0.048) Loss 2.2445 (2.3028) Prec@1 50.391 (47.366) Prec@5 70.703 (72.722)
Epoch: [102][1130/5005] Time 0.211 (0.212) Data 0.042 (0.048) Loss 2.3845 (2.3031) Prec@1 44.922 (47.357) Prec@5 71.484 (72.715)
Epoch: [102][1140/5005] Time 0.214 (0.212) Data 0.044 (0.048) Loss 2.3004 (2.3030) Prec@1 48.438 (47.355) Prec@5 72.266 (72.714)
Epoch: [102][1150/5005] Time 0.208 (0.212) Data 0.052 (0.048) Loss 2.2455 (2.3023) Prec@1 45.312 (47.369) Prec@5 72.656 (72.726)
Epoch: [102][1160/5005] Time 0.203 (0.212) Data 0.059 (0.048) Loss 2.3521 (2.3024) Prec@1 47.656 (47.368) Prec@5 73.438 (72.727)
Epoch: [102][1170/5005] Time 0.211 (0.212) Data 0.042 (0.048) Loss 2.2065 (2.3023) Prec@1 49.219 (47.373) Prec@5 76.172 (72.732)
Epoch: [102][1180/5005] Time 0.209 (0.212) Data 0.043 (0.048) Loss 2.3220 (2.3022) Prec@1 48.047 (47.368) Prec@5 71.094 (72.729)
Epoch: [102][1190/5005] Time 0.202 (0.212) Data 0.041 (0.048) Loss 2.1756 (2.3017) Prec@1 47.266 (47.375) Prec@5 75.000 (72.742)
Epoch: [102][1200/5005] Time 0.206 (0.212) Data 0.042 (0.048) Loss 2.4207 (2.3015) Prec@1 48.047 (47.374) Prec@5 70.703 (72.746)
Epoch: [102][1210/5005] Time 0.207 (0.212) Data 0.047 (0.048) Loss 2.3564 (2.3020) Prec@1 42.188 (47.357) Prec@5 72.266 (72.741)
Epoch: [102][1220/5005] Time 0.215 (0.212) Data 0.042 (0.048) Loss 2.1402 (2.3019) Prec@1 47.266 (47.361) Prec@5 74.609 (72.740)
Epoch: [102][1230/5005] Time 0.212 (0.212) Data 0.044 (0.048) Loss 2.3033 (2.3019) Prec@1 48.438 (47.352) Prec@5 74.609 (72.739)
Epoch: [102][1240/5005] Time 0.213 (0.212) Data 0.045 (0.048) Loss 2.3570 (2.3018) Prec@1 48.828 (47.344) Prec@5 73.828 (72.741)
Epoch: [102][1250/5005] Time 0.213 (0.212) Data 0.061 (0.048) Loss 2.7103 (2.3023) Prec@1 40.625 (47.336) Prec@5 65.234 (72.729)
Epoch: [102][1260/5005] Time 0.215 (0.212) Data 0.044 (0.048) Loss 2.0796 (2.3016) Prec@1 49.609 (47.352) Prec@5 74.219 (72.744)
Epoch: [102][1270/5005] Time 0.210 (0.212) Data 0.049 (0.048) Loss 2.3481 (2.3021) Prec@1 46.484 (47.348) Prec@5 71.094 (72.738)
Epoch: [102][1280/5005] Time 0.216 (0.212) Data 0.046 (0.048) Loss 2.1501 (2.3023) Prec@1 49.219 (47.342) Prec@5 75.000 (72.732)
Epoch: [102][1290/5005] Time 0.209 (0.212) Data 0.050 (0.048) Loss 2.1944 (2.3020) Prec@1 50.781 (47.347) Prec@5 73.438 (72.737)
Epoch: [102][1300/5005] Time 0.204 (0.212) Data 0.057 (0.048) Loss 2.1630 (2.3018) Prec@1 51.172 (47.356) Prec@5 74.609 (72.746)
Epoch: [102][1310/5005] Time 0.211 (0.212) Data 0.046 (0.048) Loss 2.3675 (2.3017) Prec@1 42.969 (47.359) Prec@5 73.047 (72.748)
Epoch: [102][1320/5005] Time 0.214 (0.212) Data 0.047 (0.048) Loss 2.4387 (2.3017) Prec@1 48.828 (47.366) Prec@5 71.094 (72.750)
Epoch: [102][1330/5005] Time 0.212 (0.212) Data 0.044 (0.048) Loss 2.4869 (2.3022) Prec@1 43.359 (47.356) Prec@5 68.750 (72.742)
Epoch: [102][1340/5005] Time 0.210 (0.212) Data 0.049 (0.048) Loss 2.2117 (2.3023) Prec@1 50.391 (47.353) Prec@5 72.656 (72.736)
Epoch: [102][1350/5005] Time 0.213 (0.212) Data 0.045 (0.047) Loss 2.7354 (2.3025) Prec@1 41.406 (47.346) Prec@5 66.797 (72.735)
Epoch: [102][1360/5005] Time 0.195 (0.212) Data 0.045 (0.047) Loss 2.1077 (2.3023) Prec@1 51.953 (47.343) Prec@5 77.344 (72.741)
Epoch: [102][1370/5005] Time 0.206 (0.212) Data 0.046 (0.047) Loss 2.3607 (2.3021) Prec@1 46.484 (47.347) Prec@5 72.266 (72.746)
Epoch: [102][1380/5005] Time 0.212 (0.212) Data 0.042 (0.047) Loss 2.1916 (2.3018) Prec@1 50.391 (47.350) Prec@5 75.391 (72.751)
Epoch: [102][1390/5005] Time 0.213 (0.212) Data 0.043 (0.047) Loss 2.0716 (2.3017) Prec@1 56.250 (47.356) Prec@5 75.781 (72.750)
Epoch: [102][1400/5005] Time 0.208 (0.212) Data 0.041 (0.047) Loss 2.3402 (2.3012) Prec@1 44.141 (47.357) Prec@5 72.266 (72.755)
Epoch: [102][1410/5005] Time 0.213 (0.212) Data 0.044 (0.047) Loss 2.2133 (2.3007) Prec@1 50.000 (47.370) Prec@5 76.172 (72.763)
Epoch: [102][1420/5005] Time 0.211 (0.212) Data 0.044 (0.047) Loss 2.5800 (2.3009) Prec@1 45.312 (47.372) Prec@5 67.578 (72.757)
Epoch: [102][1430/5005] Time 0.211 (0.212) Data 0.043 (0.047) Loss 2.0380 (2.3005) Prec@1 48.828 (47.382) Prec@5 78.906 (72.764)
Epoch: [102][1440/5005] Time 0.214 (0.212) Data 0.042 (0.047) Loss 2.1299 (2.3003) Prec@1 49.219 (47.384) Prec@5 77.734 (72.772)
Epoch: [102][1450/5005] Time 0.215 (0.212) Data 0.043 (0.047) Loss 2.2904 (2.3001) Prec@1 50.781 (47.391) Prec@5 70.703 (72.777)
Epoch: [102][1460/5005] Time 0.204 (0.212) Data 0.040 (0.047) Loss 2.2625 (2.2999) Prec@1 44.531 (47.391) Prec@5 74.219 (72.782)
Epoch: [102][1470/5005] Time 0.213 (0.212) Data 0.043 (0.047) Loss 2.3818 (2.3002) Prec@1 44.531 (47.392) Prec@5 71.094 (72.778)
Epoch: [102][1480/5005] Time 0.208 (0.212) Data 0.043 (0.047) Loss 2.2102 (2.3003) Prec@1 48.047 (47.389) Prec@5 75.781 (72.777)
Epoch: [102][1490/5005] Time 0.207 (0.212) Data 0.045 (0.047) Loss 2.5455 (2.3002) Prec@1 42.969 (47.387) Prec@5 68.359 (72.783)
Epoch: [102][1500/5005] Time 0.204 (0.212) Data 0.046 (0.047) Loss 2.1469 (2.2997) Prec@1 50.000 (47.390) Prec@5 75.781 (72.791)
Epoch: [102][1510/5005] Time 0.209 (0.212) Data 0.053 (0.047) Loss 2.1444 (2.2998) Prec@1 49.219 (47.394) Prec@5 72.656 (72.786)
Epoch: [102][1520/5005] Time 0.200 (0.211) Data 0.053 (0.047) Loss 2.3369 (2.2994) Prec@1 51.172 (47.406) Prec@5 72.266 (72.791)
Epoch: [102][1530/5005] Time 0.212 (0.211) Data 0.050 (0.047) Loss 2.4187 (2.2994) Prec@1 42.188 (47.400) Prec@5 71.484 (72.787)
Epoch: [102][1540/5005] Time 0.209 (0.211) Data 0.056 (0.047) Loss 2.3584 (2.3000) Prec@1 48.438 (47.396) Prec@5 69.922 (72.777)
Epoch: [102][1550/5005] Time 0.215 (0.211) Data 0.068 (0.047) Loss 2.2613 (2.2997) Prec@1 49.609 (47.399) Prec@5 75.391 (72.778)
Epoch: [102][1560/5005] Time 0.197 (0.211) Data 0.043 (0.047) Loss 2.0997 (2.2996) Prec@1 48.438 (47.403) Prec@5 75.000 (72.778)
Epoch: [102][1570/5005] Time 0.214 (0.211) Data 0.045 (0.047) Loss 2.1020 (2.2993) Prec@1 49.609 (47.409) Prec@5 78.516 (72.786)
Epoch: [102][1580/5005] Time 0.206 (0.211) Data 0.049 (0.047) Loss 2.1943 (2.2995) Prec@1 46.875 (47.401) Prec@5 77.734 (72.782)
Epoch: [102][1590/5005] Time 0.206 (0.211) Data 0.042 (0.047) Loss 2.2645 (2.2995) Prec@1 52.344 (47.401) Prec@5 72.266 (72.779)
Epoch: [102][1600/5005] Time 0.216 (0.211) Data 0.060 (0.047) Loss 2.3816 (2.2996) Prec@1 46.094 (47.398) Prec@5 72.266 (72.777)
Epoch: [102][1610/5005] Time 0.215 (0.211) Data 0.044 (0.047) Loss 2.3702 (2.2995) Prec@1 48.047 (47.398) Prec@5 74.219 (72.780)
Epoch: [102][1620/5005] Time 0.205 (0.211) Data 0.053 (0.047) Loss 2.4608 (2.2993) Prec@1 42.969 (47.394) Prec@5 70.312 (72.785)
Epoch: [102][1630/5005] Time 0.196 (0.211) Data 0.044 (0.047) Loss 2.1249 (2.2993) Prec@1 50.391 (47.398) Prec@5 75.000 (72.783)
Epoch: [102][1640/5005] Time 0.207 (0.211) Data 0.041 (0.047) Loss 2.2822 (2.2997) Prec@1 51.953 (47.400) Prec@5 74.609 (72.781)
Epoch: [102][1650/5005] Time 0.210 (0.211) Data 0.042 (0.047) Loss 2.4092 (2.2997) Prec@1 46.875 (47.405) Prec@5 68.359 (72.787)
Epoch: [102][1660/5005] Time 0.215 (0.211) Data 0.044 (0.047) Loss 2.1937 (2.2991) Prec@1 47.656 (47.420) Prec@5 71.875 (72.795)
Epoch: [102][1670/5005] Time 0.196 (0.211) Data 0.041 (0.047) Loss 2.1738 (2.2991) Prec@1 48.438 (47.420) Prec@5 73.438 (72.797)
Epoch: [102][1680/5005] Time 0.215 (0.211) Data 0.041 (0.047) Loss 2.3624 (2.2989) Prec@1 51.172 (47.431) Prec@5 70.312 (72.800)
Epoch: [102][1690/5005] Time 0.208 (0.211) Data 0.042 (0.047) Loss 2.2136 (2.2987) Prec@1 47.266 (47.436) Prec@5 72.656 (72.807)
Epoch: [102][1700/5005] Time 0.204 (0.211) Data 0.047 (0.047) Loss 2.2545 (2.2983) Prec@1 45.703 (47.443) Prec@5 76.172 (72.817)
Epoch: [102][1710/5005] Time 0.212 (0.211) Data 0.043 (0.047) Loss 2.2053 (2.2977) Prec@1 48.438 (47.450) Prec@5 75.000 (72.826)
Epoch: [102][1720/5005] Time 0.206 (0.211) Data 0.049 (0.047) Loss 2.4208 (2.2978) Prec@1 48.438 (47.449) Prec@5 70.703 (72.826)
Epoch: [102][1730/5005] Time 0.210 (0.211) Data 0.043 (0.047) Loss 2.2264 (2.2978) Prec@1 46.875 (47.446) Prec@5 73.828 (72.828)
Epoch: [102][1740/5005] Time 0.214 (0.211) Data 0.044 (0.047) Loss 2.5316 (2.2977) Prec@1 41.016 (47.442) Prec@5 66.406 (72.825)
Epoch: [102][1750/5005] Time 0.211 (0.211) Data 0.042 (0.047) Loss 2.2799 (2.2973) Prec@1 49.609 (47.448) Prec@5 70.703 (72.825)
Epoch: [102][1760/5005] Time 0.196 (0.211) Data 0.050 (0.047) Loss 2.0757 (2.2972) Prec@1 51.562 (47.455) Prec@5 75.781 (72.830)
Epoch: [102][1770/5005] Time 0.201 (0.211) Data 0.042 (0.047) Loss 2.3749 (2.2970) Prec@1 45.703 (47.460) Prec@5 73.438 (72.834)
Epoch: [102][1780/5005] Time 0.216 (0.211) Data 0.042 (0.047) Loss 2.1218 (2.2967) Prec@1 46.484 (47.461) Prec@5 76.562 (72.836)
Epoch: [102][1790/5005] Time 0.217 (0.211) Data 0.046 (0.047) Loss 2.1302 (2.2965) Prec@1 52.734 (47.464) Prec@5 73.047 (72.837)
Epoch: [102][1800/5005] Time 0.202 (0.211) Data 0.043 (0.047) Loss 2.2400 (2.2962) Prec@1 50.391 (47.473) Prec@5 75.000 (72.840)
Epoch: [102][1810/5005] Time 0.211 (0.211) Data 0.044 (0.047) Loss 2.1204 (2.2958) Prec@1 50.781 (47.476) Prec@5 73.047 (72.845)
Epoch: [102][1820/5005] Time 0.200 (0.211) Data 0.053 (0.047) Loss 2.2891 (2.2956) Prec@1 44.531 (47.477) Prec@5 71.484 (72.848)
Epoch: [102][1830/5005] Time 0.224 (0.211) Data 0.048 (0.047) Loss 2.0420 (2.2952) Prec@1 53.516 (47.481) Prec@5 78.516 (72.856)
Epoch: [102][1840/5005] Time 0.203 (0.211) Data 0.044 (0.047) Loss 2.3749 (2.2951) Prec@1 43.750 (47.482) Prec@5 68.750 (72.856)
Epoch: [102][1850/5005] Time 0.217 (0.211) Data 0.042 (0.047) Loss 2.2797 (2.2949) Prec@1 46.094 (47.487) Prec@5 74.219 (72.859)
Epoch: [102][1860/5005] Time 0.213 (0.211) Data 0.041 (0.047) Loss 2.2759 (2.2951) Prec@1 46.484 (47.480) Prec@5 73.047 (72.860)
Epoch: [102][1870/5005] Time 0.215 (0.211) Data 0.043 (0.047) Loss 2.4304 (2.2954) Prec@1 43.359 (47.473) Prec@5 69.141 (72.854)
Epoch: [102][1880/5005] Time 0.219 (0.211) Data 0.042 (0.047) Loss 2.3499 (2.2955) Prec@1 43.750 (47.472) Prec@5 71.875 (72.854)
Epoch: [102][1890/5005] Time 0.215 (0.211) Data 0.046 (0.047) Loss 2.3345 (2.2956) Prec@1 50.000 (47.471) Prec@5 71.875 (72.854)
Epoch: [102][1900/5005] Time 0.206 (0.211) Data 0.047 (0.047) Loss 2.3155 (2.2962) Prec@1 43.750 (47.459) Prec@5 73.047 (72.845)
Epoch: [102][1910/5005] Time 0.211 (0.211) Data 0.048 (0.047) Loss 2.2923 (2.2962) Prec@1 44.141 (47.452) Prec@5 74.219 (72.843)
Epoch: [102][1920/5005] Time 0.217 (0.211) Data 0.060 (0.047) Loss 2.1305 (2.2960) Prec@1 49.609 (47.446) Prec@5 75.781 (72.845)
Epoch: [102][1930/5005] Time 0.205 (0.211) Data 0.046 (0.047) Loss 2.1861 (2.2958) Prec@1 50.391 (47.448) Prec@5 75.000 (72.851)
Epoch: [102][1940/5005] Time 0.211 (0.211) Data 0.057 (0.047) Loss 2.0468 (2.2955) Prec@1 51.172 (47.447) Prec@5 77.734 (72.857)
Epoch: [102][1950/5005] Time 0.194 (0.211) Data 0.046 (0.047) Loss 2.4484 (2.2955) Prec@1 44.922 (47.449) Prec@5 69.141 (72.858)
Epoch: [102][1960/5005] Time 0.203 (0.211) Data 0.058 (0.047) Loss 2.1892 (2.2952) Prec@1 46.484 (47.459) Prec@5 75.781 (72.862)
Epoch: [102][1970/5005] Time 0.201 (0.211) Data 0.042 (0.047) Loss 2.4112 (2.2955) Prec@1 49.609 (47.456) Prec@5 69.922 (72.857)
Epoch: [102][1980/5005] Time 0.206 (0.211) Data 0.047 (0.047) Loss 2.0394 (2.2954) Prec@1 50.000 (47.454) Prec@5 76.953 (72.859)
Epoch: [102][1990/5005] Time 0.207 (0.211) Data 0.045 (0.047) Loss 2.2027 (2.2952) Prec@1 50.781 (47.465) Prec@5 72.656 (72.859)
Epoch: [102][2000/5005] Time 0.203 (0.211) Data 0.052 (0.047) Loss 2.1939 (2.2955) Prec@1 47.266 (47.461) Prec@5 74.609 (72.854)
Epoch: [102][2010/5005] Time 0.213 (0.211) Data 0.044 (0.047) Loss 2.2101 (2.2956) Prec@1 48.828 (47.455) Prec@5 72.266 (72.847)
Epoch: [102][2020/5005] Time 0.212 (0.211) Data 0.042 (0.047) Loss 2.1637 (2.2955) Prec@1 50.781 (47.455) Prec@5 75.781 (72.850)
Epoch: [102][2030/5005] Time 0.207 (0.211) Data 0.048 (0.047) Loss 2.2366 (2.2956) Prec@1 49.219 (47.455) Prec@5 76.562 (72.849)
Epoch: [102][2040/5005] Time 0.209 (0.211) Data 0.041 (0.047) Loss 1.9634 (2.2953) Prec@1 54.297 (47.459) Prec@5 78.516 (72.851)
Epoch: [102][2050/5005] Time 0.200 (0.211) Data 0.048 (0.047) Loss 2.4757 (2.2953) Prec@1 43.750 (47.462) Prec@5 71.094 (72.853)
Epoch: [102][2060/5005] Time 0.212 (0.211) Data 0.044 (0.047) Loss 2.1483 (2.2952) Prec@1 48.828 (47.460) Prec@5 72.656 (72.855)
Epoch: [102][2070/5005] Time 0.206 (0.211) Data 0.047 (0.047) Loss 2.3948 (2.2954) Prec@1 44.141 (47.453) Prec@5 71.484 (72.848)
Epoch: [102][2080/5005] Time 0.211 (0.211) Data 0.043 (0.047) Loss 2.3613 (2.2953) Prec@1 43.359 (47.450) Prec@5 73.828 (72.848)
Epoch: [102][2090/5005] Time 0.205 (0.211) Data 0.047 (0.047) Loss 1.9832 (2.2947) Prec@1 51.953 (47.457) Prec@5 76.172 (72.850)
Epoch: [102][2100/5005] Time 0.199 (0.211) Data 0.051 (0.047) Loss 2.2279 (2.2946) Prec@1 50.000 (47.461) Prec@5 73.828 (72.852)
Epoch: [102][2110/5005] Time 0.201 (0.211) Data 0.047 (0.047) Loss 2.0905 (2.2946) Prec@1 52.734 (47.467) Prec@5 75.781 (72.847)
Epoch: [102][2120/5005] Time 0.207 (0.211) Data 0.060 (0.047) Loss 2.3899 (2.2945) Prec@1 44.531 (47.467) Prec@5 72.656 (72.851)
Epoch: [102][2130/5005] Time 0.211 (0.211) Data 0.049 (0.047) Loss 2.2300 (2.2940) Prec@1 47.266 (47.475) Prec@5 72.656 (72.863)
Epoch: [102][2140/5005] Time 0.198 (0.211) Data 0.054 (0.047) Loss 2.1835 (2.2939) Prec@1 46.875 (47.481) Prec@5 74.609 (72.868)
Epoch: [102][2150/5005] Time 0.215 (0.211) Data 0.042 (0.047) Loss 2.1882 (2.2938) Prec@1 51.953 (47.489) Prec@5 73.828 (72.869)
Epoch: [102][2160/5005] Time 0.210 (0.211) Data 0.051 (0.047) Loss 2.3386 (2.2939) Prec@1 47.266 (47.488) Prec@5 73.047 (72.867)
Epoch: [102][2170/5005] Time 0.213 (0.211) Data 0.062 (0.047) Loss 2.1478 (2.2936) Prec@1 51.172 (47.494) Prec@5 74.609 (72.872)
Epoch: [102][2180/5005] Time 0.196 (0.211) Data 0.043 (0.047) Loss 2.4477 (2.2936) Prec@1 46.875 (47.493) Prec@5 69.141 (72.874)
Epoch: [102][2190/5005] Time 0.223 (0.211) Data 0.046 (0.047) Loss 2.5901 (2.2937) Prec@1 46.094 (47.495) Prec@5 64.062 (72.875)
Epoch: [102][2200/5005] Time 0.211 (0.211) Data 0.042 (0.047) Loss 2.2057 (2.2939) Prec@1 52.344 (47.496) Prec@5 75.391 (72.874)
Epoch: [102][2210/5005] Time 0.210 (0.211) Data 0.048 (0.047) Loss 2.3441 (2.2941) Prec@1 44.141 (47.492) Prec@5 71.094 (72.871)
Epoch: [102][2220/5005] Time 0.203 (0.211) Data 0.048 (0.047) Loss 2.4554 (2.2940) Prec@1 44.531 (47.491) Prec@5 69.922 (72.875)
Epoch: [102][2230/5005] Time 0.215 (0.211) Data 0.046 (0.047) Loss 2.3078 (2.2941) Prec@1 50.781 (47.491) Prec@5 73.828 (72.873)
Epoch: [102][2240/5005] Time 0.214 (0.211) Data 0.042 (0.047) Loss 2.2317 (2.2942) Prec@1 48.438 (47.488) Prec@5 76.562 (72.873)
Epoch: [102][2250/5005] Time 0.215 (0.211) Data 0.047 (0.047) Loss 2.1441 (2.2941) Prec@1 49.219 (47.494) Prec@5 76.562 (72.878)
Epoch: [102][2260/5005] Time 0.219 (0.211) Data 0.042 (0.047) Loss 2.1871 (2.2937) Prec@1 47.266 (47.501) Prec@5 73.438 (72.885)
Epoch: [102][2270/5005] Time 0.202 (0.211) Data 0.043 (0.047) Loss 2.5720 (2.2936) Prec@1 39.453 (47.501) Prec@5 65.234 (72.882)
Epoch: [102][2280/5005] Time 0.210 (0.211) Data 0.043 (0.047) Loss 2.3973 (2.2938) Prec@1 42.188 (47.500) Prec@5 71.484 (72.882)
Epoch: [102][2290/5005] Time 0.209 (0.211) Data 0.045 (0.047) Loss 2.0795 (2.2938) Prec@1 54.297 (47.502) Prec@5 75.781 (72.882)
Epoch: [102][2300/5005] Time 0.209 (0.211) Data 0.041 (0.047) Loss 2.2652 (2.2937) Prec@1 46.484 (47.503) Prec@5 73.047 (72.883)
Epoch: [102][2310/5005] Time 0.211 (0.211) Data 0.042 (0.047) Loss 2.2424 (2.2936) Prec@1 47.266 (47.505) Prec@5 72.266 (72.887)
Epoch: [102][2320/5005] Time 0.213 (0.211) Data 0.042 (0.047) Loss 2.4277 (2.2936) Prec@1 46.875 (47.504) Prec@5 69.531 (72.886)
Epoch: [102][2330/5005] Time 0.212 (0.211) Data 0.043 (0.047) Loss 2.2314 (2.2934) Prec@1 50.781 (47.509) Prec@5 73.438 (72.894)
Epoch: [102][2340/5005] Time 0.211 (0.211) Data 0.043 (0.047) Loss 2.3069 (2.2932) Prec@1 48.828 (47.511) Prec@5 72.656 (72.893)
Epoch: [102][2350/5005] Time 0.205 (0.211) Data 0.041 (0.047) Loss 2.1877 (2.2932) Prec@1 48.438 (47.512) Prec@5 75.000 (72.891)
Epoch: [102][2360/5005] Time 0.200 (0.211) Data 0.046 (0.047) Loss 2.2831 (2.2933) Prec@1 49.219 (47.512) Prec@5 71.094 (72.887)
Epoch: [102][2370/5005] Time 0.212 (0.211) Data 0.045 (0.047) Loss 2.3320 (2.2933) Prec@1 44.922 (47.505) Prec@5 72.266 (72.884)
Epoch: [102][2380/5005] Time 0.204 (0.211) Data 0.052 (0.047) Loss 2.1736 (2.2931) Prec@1 49.219 (47.506) Prec@5 75.000 (72.889)
Epoch: [102][2390/5005] Time 0.206 (0.211) Data 0.048 (0.047) Loss 2.3928 (2.2929) Prec@1 49.609 (47.515) Prec@5 69.922 (72.893)
Epoch: [102][2400/5005] Time 0.208 (0.211) Data 0.049 (0.047) Loss 2.3387 (2.2929) Prec@1 48.828 (47.517) Prec@5 72.266 (72.895)
Epoch: [102][2410/5005] Time 0.210 (0.211) Data 0.047 (0.047) Loss 2.4800 (2.2929) Prec@1 44.531 (47.512) Prec@5 69.141 (72.891)
Epoch: [102][2420/5005] Time 0.210 (0.211) Data 0.043 (0.047) Loss 2.3273 (2.2927) Prec@1 46.484 (47.517) Prec@5 73.047 (72.897)
Epoch: [102][2430/5005] Time 0.205 (0.211) Data 0.047 (0.047) Loss 2.1845 (2.2927) Prec@1 50.781 (47.523) Prec@5 71.094 (72.892)
Epoch: [102][2440/5005] Time 0.203 (0.211) Data 0.041 (0.047) Loss 2.0286 (2.2926) Prec@1 51.172 (47.530) Prec@5 78.906 (72.892)
Epoch: [102][2450/5005] Time 0.196 (0.211) Data 0.050 (0.047) Loss 2.1101 (2.2923) Prec@1 50.000 (47.536) Prec@5 76.172 (72.897)
Epoch: [102][2460/5005] Time 0.206 (0.211) Data 0.047 (0.047) Loss 2.3686 (2.2922) Prec@1 45.312 (47.538) Prec@5 72.266 (72.899)
Epoch: [102][2470/5005] Time 0.193 (0.211) Data 0.043 (0.047) Loss 2.2108 (2.2920) Prec@1 49.609 (47.537) Prec@5 74.219 (72.903)
Epoch: [102][2480/5005] Time 0.202 (0.211) Data 0.043 (0.047) Loss 2.3754 (2.2921) Prec@1 44.922 (47.534) Prec@5 73.438 (72.901)
Epoch: [102][2490/5005] Time 0.211 (0.211) Data 0.056 (0.047) Loss 2.1448 (2.2921) Prec@1 47.266 (47.531) Prec@5 75.000 (72.903)
Epoch: [102][2500/5005] Time 0.201 (0.211) Data 0.062 (0.047) Loss 2.2945 (2.2922) Prec@1 47.656 (47.528) Prec@5 71.875 (72.902)
Epoch: [102][2510/5005] Time 0.217 (0.211) Data 0.045 (0.047) Loss 2.3652 (2.2921) Prec@1 47.266 (47.524) Prec@5 73.438 (72.904)
Epoch: [102][2520/5005] Time 0.207 (0.211) Data 0.051 (0.047) Loss 2.1762 (2.2920) Prec@1 53.125 (47.528) Prec@5 73.828 (72.904)
Epoch: [102][2530/5005] Time 0.213 (0.211) Data 0.049 (0.047) Loss 2.4311 (2.2922) Prec@1 44.141 (47.522) Prec@5 69.922 (72.900)
Epoch: [102][2540/5005] Time 0.205 (0.211) Data 0.044 (0.047) Loss 2.2442 (2.2922) Prec@1 47.656 (47.522) Prec@5 71.484 (72.902)
Epoch: [102][2550/5005] Time 0.215 (0.211) Data 0.045 (0.047) Loss 2.2113 (2.2921) Prec@1 45.312 (47.520) Prec@5 76.562 (72.903)
Epoch: [102][2560/5005] Time 0.197 (0.211) Data 0.045 (0.047) Loss 2.5508 (2.2923) Prec@1 41.406 (47.520) Prec@5 69.922 (72.900)
Epoch: [102][2570/5005] Time 0.206 (0.211) Data 0.047 (0.047) Loss 2.1845 (2.2923) Prec@1 45.703 (47.521) Prec@5 76.172 (72.897)
Epoch: [102][2580/5005] Time 0.194 (0.211) Data 0.042 (0.047) Loss 2.3259 (2.2925) Prec@1 48.828 (47.522) Prec@5 69.531 (72.891)
Epoch: [102][2590/5005] Time 0.209 (0.211) Data 0.044 (0.047) Loss 2.4663 (2.2924) Prec@1 44.141 (47.529) Prec@5 70.703 (72.895)
Epoch: [102][2600/5005] Time 0.210 (0.211) Data 0.043 (0.047) Loss 2.3823 (2.2925) Prec@1 45.703 (47.525) Prec@5 72.656 (72.893)
Epoch: [102][2610/5005] Time 0.212 (0.211) Data 0.043 (0.047) Loss 2.5417 (2.2925) Prec@1 43.359 (47.527) Prec@5 69.141 (72.893)
Epoch: [102][2620/5005] Time 0.210 (0.211) Data 0.047 (0.047) Loss 2.2001 (2.2925) Prec@1 48.438 (47.528) Prec@5 75.000 (72.891)
Epoch: [102][2630/5005] Time 0.201 (0.211) Data 0.042 (0.047) Loss 2.5584 (2.2930) Prec@1 45.312 (47.527) Prec@5 66.797 (72.885)
Epoch: [102][2640/5005] Time 0.212 (0.210) Data 0.042 (0.047) Loss 2.5022 (2.2930) Prec@1 42.969 (47.524) Prec@5 69.922 (72.886)
Epoch: [102][2650/5005] Time 0.211 (0.210) Data 0.042 (0.047) Loss 2.3863 (2.2930) Prec@1 47.266 (47.525) Prec@5 70.703 (72.884)
Epoch: [102][2660/5005] Time 0.203 (0.210) Data 0.043 (0.047) Loss 2.1890 (2.2927) Prec@1 51.562 (47.534) Prec@5 75.000 (72.887)
Epoch: [102][2670/5005] Time 0.211 (0.210) Data 0.044 (0.047) Loss 1.9752 (2.2924) Prec@1 49.609 (47.542) Prec@5 78.125 (72.891)
Epoch: [102][2680/5005] Time 0.213 (0.210) Data 0.046 (0.047) Loss 2.0662 (2.2922) Prec@1 55.078 (47.545) Prec@5 78.125 (72.894)
Epoch: [102][2690/5005] Time 0.208 (0.210) Data 0.059 (0.047) Loss 2.2255 (2.2920) Prec@1 49.219 (47.547) Prec@5 73.828 (72.895)
Epoch: [102][2700/5005] Time 0.214 (0.210) Data 0.044 (0.047) Loss 2.2754 (2.2921) Prec@1 46.094 (47.540) Prec@5 73.828 (72.895)
Epoch: [102][2710/5005] Time 0.204 (0.210) Data 0.042 (0.047) Loss 2.1615 (2.2921) Prec@1 50.000 (47.539) Prec@5 75.391 (72.891)
Epoch: [102][2720/5005] Time 0.202 (0.210) Data 0.044 (0.047) Loss 2.2708 (2.2922) Prec@1 46.094 (47.535) Prec@5 73.828 (72.891)
Epoch: [102][2730/5005] Time 0.211 (0.210) Data 0.049 (0.047) Loss 2.3441 (2.2919) Prec@1 48.438 (47.540) Prec@5 70.703 (72.895)
Epoch: [102][2740/5005] Time 0.205 (0.210) Data 0.043 (0.047) Loss 2.1705 (2.2919) Prec@1 52.344 (47.543) Prec@5 75.781 (72.895)
Epoch: [102][2750/5005] Time 0.211 (0.210) Data 0.044 (0.047) Loss 2.3741 (2.2918) Prec@1 45.312 (47.547) Prec@5 71.094 (72.893)
Epoch: [102][2760/5005] Time 0.211 (0.210) Data 0.041 (0.047) Loss 2.2423 (2.2916) Prec@1 51.562 (47.555) Prec@5 73.438 (72.895)
Epoch: [102][2770/5005] Time 0.213 (0.210) Data 0.046 (0.047) Loss 2.2557 (2.2917) Prec@1 46.875 (47.556) Prec@5 75.000 (72.895)
Epoch: [102][2780/5005] Time 0.203 (0.210) Data 0.060 (0.047) Loss 2.5445 (2.2916) Prec@1 47.266 (47.560) Prec@5 69.531 (72.896)
Epoch: [102][2790/5005] Time 0.207 (0.210) Data 0.053 (0.047) Loss 2.4579 (2.2916) Prec@1 42.188 (47.562) Prec@5 69.141 (72.895)
Epoch: [102][2800/5005] Time 0.206 (0.210) Data 0.060 (0.047) Loss 2.0496 (2.2914) Prec@1 55.469 (47.570) Prec@5 76.953 (72.899)
Epoch: [102][2810/5005] Time 0.209 (0.210) Data 0.062 (0.047) Loss 2.3776 (2.2914) Prec@1 46.484 (47.571) Prec@5 68.750 (72.899)
Epoch: [102][2820/5005] Time 0.199 (0.210) Data 0.057 (0.047) Loss 1.9358 (2.2912) Prec@1 50.391 (47.570) Prec@5 79.297 (72.901)
Epoch: [102][2830/5005] Time 0.204 (0.210) Data 0.052 (0.047) Loss 2.5105 (2.2912) Prec@1 46.484 (47.571) Prec@5 70.312 (72.902)
Epoch: [102][2840/5005] Time 0.206 (0.210) Data 0.047 (0.047) Loss 2.3479 (2.2913) Prec@1 46.875 (47.573) Prec@5 71.094 (72.901)
Epoch: [102][2850/5005] Time 0.217 (0.210) Data 0.045 (0.047) Loss 2.2610 (2.2913) Prec@1 51.562 (47.577) Prec@5 72.266 (72.902)
Epoch: [102][2860/5005] Time 0.206 (0.210) Data 0.040 (0.047) Loss 2.2621 (2.2913) Prec@1 51.172 (47.574) Prec@5 70.703 (72.903)
Epoch: [102][2870/5005] Time 0.194 (0.210) Data 0.056 (0.047) Loss 2.2831 (2.2911) Prec@1 46.875 (47.580) Prec@5 73.438 (72.906)
Epoch: [102][2880/5005] Time 0.203 (0.210) Data 0.048 (0.047) Loss 2.3163 (2.2910) Prec@1 44.922 (47.581) Prec@5 75.000 (72.906)
Epoch: [102][2890/5005] Time 0.201 (0.210) Data 0.044 (0.047) Loss 2.2452 (2.2908) Prec@1 46.094 (47.586) Prec@5 71.875 (72.909)
Epoch: [102][2900/5005] Time 0.198 (0.210) Data 0.043 (0.047) Loss 1.8989 (2.2906) Prec@1 55.078 (47.593) Prec@5 79.297 (72.913)
Epoch: [102][2910/5005] Time 0.198 (0.210) Data 0.066 (0.047) Loss 2.2146 (2.2906) Prec@1 49.219 (47.592) Prec@5 73.438 (72.913)
Epoch: [102][2920/5005] Time 0.195 (0.210) Data 0.051 (0.047) Loss 2.3656 (2.2904) Prec@1 44.922 (47.597) Prec@5 73.047 (72.917)
Epoch: [102][2930/5005] Time 0.201 (0.210) Data 0.051 (0.047) Loss 2.5289 (2.2905) Prec@1 44.141 (47.597) Prec@5 71.094 (72.915)
Epoch: [102][2940/5005] Time 0.201 (0.210) Data 0.046 (0.047) Loss 2.3758 (2.2903) Prec@1 43.750 (47.600) Prec@5 72.266 (72.919)
Epoch: [102][2950/5005] Time 0.206 (0.210) Data 0.051 (0.047) Loss 2.4893 (2.2902) Prec@1 40.234 (47.603) Prec@5 69.922 (72.922)
Epoch: [102][2960/5005] Time 0.216 (0.210) Data 0.046 (0.047) Loss 2.1963 (2.2900) Prec@1 49.609 (47.608) Prec@5 70.703 (72.921)
Epoch: [102][2970/5005] Time 0.203 (0.210) Data 0.059 (0.047) Loss 2.3574 (2.2898) Prec@1 43.359 (47.611) Prec@5 73.047 (72.925)
Epoch: [102][2980/5005] Time 0.209 (0.210) Data 0.051 (0.047) Loss 2.4776 (2.2897) Prec@1 41.016 (47.612) Prec@5 65.234 (72.926)
Epoch: [102][2990/5005] Time 0.201 (0.210) Data 0.044 (0.047) Loss 2.2379 (2.2898) Prec@1 46.484 (47.611) Prec@5 74.609 (72.925)
Epoch: [102][3000/5005] Time 0.214 (0.210) Data 0.042 (0.047) Loss 2.3182 (2.2896) Prec@1 46.875 (47.612) Prec@5 73.828 (72.927)
Epoch: [102][3010/5005] Time 0.205 (0.210) Data 0.045 (0.047) Loss 2.2237 (2.2897) Prec@1 45.312 (47.609) Prec@5 75.000 (72.926)
Epoch: [102][3020/5005] Time 0.209 (0.210) Data 0.045 (0.047) Loss 2.1702 (2.2898) Prec@1 49.219 (47.611) Prec@5 75.000 (72.926)
Epoch: [102][3030/5005] Time 0.209 (0.210) Data 0.046 (0.047) Loss 2.2306 (2.2898) Prec@1 49.609 (47.608) Prec@5 76.172 (72.927)
Epoch: [102][3040/5005] Time 0.205 (0.210) Data 0.044 (0.047) Loss 2.1546 (2.2896) Prec@1 51.953 (47.615) Prec@5 74.219 (72.927)
Epoch: [102][3050/5005] Time 0.207 (0.210) Data 0.062 (0.047) Loss 2.1849 (2.2897) Prec@1 48.047 (47.611) Prec@5 75.781 (72.925)
Epoch: [102][3060/5005] Time 0.218 (0.210) Data 0.049 (0.047) Loss 2.2404 (2.2896) Prec@1 51.562 (47.607) Prec@5 72.656 (72.927)
Epoch: [102][3070/5005] Time 0.213 (0.210) Data 0.045 (0.047) Loss 2.2470 (2.2897) Prec@1 44.141 (47.607) Prec@5 71.875 (72.926)
Epoch: [102][3080/5005] Time 0.204 (0.210) Data 0.052 (0.047) Loss 2.1530 (2.2896) Prec@1 49.219 (47.610) Prec@5 73.828 (72.927)
Epoch: [102][3090/5005] Time 0.218 (0.210) Data 0.046 (0.047) Loss 2.6549 (2.2895) Prec@1 37.891 (47.611) Prec@5 67.969 (72.927)
Epoch: [102][3100/5005] Time 0.212 (0.210) Data 0.051 (0.047) Loss 2.3115 (2.2896) Prec@1 48.438 (47.607) Prec@5 71.094 (72.923)
Epoch: [102][3110/5005] Time 0.209 (0.210) Data 0.045 (0.047) Loss 2.0188 (2.2893) Prec@1 50.391 (47.611) Prec@5 78.906 (72.928)
Epoch: [102][3120/5005] Time 0.215 (0.210) Data 0.045 (0.047) Loss 2.3420 (2.2893) Prec@1 42.578 (47.607) Prec@5 69.141 (72.925)
Epoch: [102][3130/5005] Time 0.203 (0.210) Data 0.045 (0.047) Loss 2.4603 (2.2892) Prec@1 43.359 (47.610) Prec@5 70.312 (72.929)
Epoch: [102][3140/5005] Time 0.209 (0.210) Data 0.041 (0.047) Loss 2.0606 (2.2890) Prec@1 51.953 (47.612) Prec@5 75.781 (72.930)
Epoch: [102][3150/5005] Time 0.206 (0.210) Data 0.058 (0.047) Loss 2.2753 (2.2888) Prec@1 48.438 (47.615) Prec@5 74.609 (72.931)
Epoch: [102][3160/5005] Time 0.202 (0.210) Data 0.045 (0.047) Loss 2.0617 (2.2888) Prec@1 51.562 (47.617) Prec@5 75.781 (72.932)
Epoch: [102][3170/5005] Time 0.213 (0.210) Data 0.043 (0.047) Loss 2.3447 (2.2889) Prec@1 47.266 (47.616) Prec@5 71.094 (72.929)
Epoch: [102][3180/5005] Time 0.207 (0.210) Data 0.042 (0.047) Loss 2.2121 (2.2889) Prec@1 49.219 (47.616) Prec@5 71.484 (72.927)
Epoch: [102][3190/5005] Time 0.209 (0.210) Data 0.041 (0.047) Loss 2.1339 (2.2888) Prec@1 47.656 (47.618) Prec@5 75.391 (72.929)
Epoch: [102][3200/5005] Time 0.192 (0.210) Data 0.048 (0.047) Loss 2.2786 (2.2889) Prec@1 48.828 (47.617) Prec@5 75.000 (72.928)
Epoch: [102][3210/5005] Time 0.206 (0.210) Data 0.053 (0.047) Loss 2.3395 (2.2889) Prec@1 48.828 (47.619) Prec@5 74.219 (72.932)
Epoch: [102][3220/5005] Time 0.215 (0.210) Data 0.041 (0.047) Loss 2.3249 (2.2889) Prec@1 51.172 (47.625) Prec@5 71.094 (72.932)
Epoch: [102][3230/5005] Time 0.201 (0.210) Data 0.049 (0.047) Loss 2.1204 (2.2885) Prec@1 52.734 (47.635) Prec@5 76.562 (72.937)
Epoch: [102][3240/5005] Time 0.207 (0.210) Data 0.054 (0.048) Loss 2.6349 (2.2889) Prec@1 39.844 (47.625) Prec@5 65.234 (72.928)
Epoch: [102][3250/5005] Time 0.211 (0.210) Data 0.045 (0.048) Loss 2.1266 (2.2890) Prec@1 49.219 (47.623) Prec@5 76.562 (72.930)
Epoch: [102][3260/5005] Time 0.214 (0.210) Data 0.042 (0.048) Loss 2.2813 (2.2890) Prec@1 48.047 (47.622) Prec@5 74.609 (72.928)
Epoch: [102][3270/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.5755 (2.2890) Prec@1 44.922 (47.621) Prec@5 69.141 (72.929)
Epoch: [102][3280/5005] Time 0.206 (0.210) Data 0.043 (0.047) Loss 2.1450 (2.2891) Prec@1 50.000 (47.619) Prec@5 75.781 (72.929)
Epoch: [102][3290/5005] Time 0.208 (0.210) Data 0.042 (0.047) Loss 2.3111 (2.2890) Prec@1 51.562 (47.620) Prec@5 72.656 (72.931)
Epoch: [102][3300/5005] Time 0.205 (0.210) Data 0.042 (0.047) Loss 2.1547 (2.2891) Prec@1 48.828 (47.615) Prec@5 73.438 (72.929)
Epoch: [102][3310/5005] Time 0.202 (0.210) Data 0.057 (0.047) Loss 2.2580 (2.2891) Prec@1 47.656 (47.613) Prec@5 73.438 (72.926)
Epoch: [102][3320/5005] Time 0.203 (0.210) Data 0.043 (0.047) Loss 2.3438 (2.2891) Prec@1 48.438 (47.609) Prec@5 72.266 (72.924)
Epoch: [102][3330/5005] Time 0.213 (0.210) Data 0.043 (0.047) Loss 2.3367 (2.2892) Prec@1 49.219 (47.604) Prec@5 72.656 (72.921)
Epoch: [102][3340/5005] Time 0.206 (0.210) Data 0.042 (0.047) Loss 2.3398 (2.2892) Prec@1 48.438 (47.604) Prec@5 75.000 (72.924)
Epoch: [102][3350/5005] Time 0.203 (0.210) Data 0.046 (0.047) Loss 2.3620 (2.2893) Prec@1 46.875 (47.604) Prec@5 72.656 (72.921)
Epoch: [102][3360/5005] Time 0.213 (0.210) Data 0.041 (0.047) Loss 2.2673 (2.2893) Prec@1 48.828 (47.602) Prec@5 73.047 (72.919)
Epoch: [102][3370/5005] Time 0.198 (0.210) Data 0.051 (0.047) Loss 2.3443 (2.2894) Prec@1 44.922 (47.599) Prec@5 73.438 (72.915)
Epoch: [102][3380/5005] Time 0.201 (0.210) Data 0.041 (0.047) Loss 2.2866 (2.2894) Prec@1 48.047 (47.600) Prec@5 76.172 (72.917)
Epoch: [102][3390/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.2145 (2.2895) Prec@1 49.219 (47.600) Prec@5 73.047 (72.915)
Epoch: [102][3400/5005] Time 0.209 (0.210) Data 0.043 (0.047) Loss 2.2563 (2.2896) Prec@1 47.656 (47.598) Prec@5 71.875 (72.914)
Epoch: [102][3410/5005] Time 0.212 (0.210) Data 0.041 (0.047) Loss 2.2618 (2.2895) Prec@1 44.531 (47.598) Prec@5 73.828 (72.918)
Epoch: [102][3420/5005] Time 0.206 (0.210) Data 0.057 (0.047) Loss 2.2671 (2.2894) Prec@1 49.609 (47.596) Prec@5 70.312 (72.917)
Epoch: [102][3430/5005] Time 0.193 (0.210) Data 0.044 (0.047) Loss 2.2344 (2.2894) Prec@1 49.609 (47.599) Prec@5 72.266 (72.917)
Epoch: [102][3440/5005] Time 0.208 (0.210) Data 0.042 (0.047) Loss 2.3983 (2.2893) Prec@1 49.219 (47.603) Prec@5 67.969 (72.920)
Epoch: [102][3450/5005] Time 0.200 (0.210) Data 0.054 (0.047) Loss 2.1476 (2.2892) Prec@1 50.391 (47.605) Prec@5 73.828 (72.922)
Epoch: [102][3460/5005] Time 0.201 (0.210) Data 0.041 (0.047) Loss 2.1956 (2.2892) Prec@1 50.781 (47.604) Prec@5 75.000 (72.923)
Epoch: [102][3470/5005] Time 0.216 (0.210) Data 0.040 (0.047) Loss 2.1032 (2.2890) Prec@1 52.344 (47.607) Prec@5 75.391 (72.925)
Epoch: [102][3480/5005] Time 0.213 (0.210) Data 0.043 (0.047) Loss 2.1565 (2.2888) Prec@1 53.516 (47.611) Prec@5 77.344 (72.930)
Epoch: [102][3490/5005] Time 0.209 (0.210) Data 0.047 (0.047) Loss 2.4255 (2.2888) Prec@1 42.188 (47.611) Prec@5 68.359 (72.929)
Epoch: [102][3500/5005] Time 0.215 (0.210) Data 0.048 (0.047) Loss 2.0925 (2.2889) Prec@1 53.906 (47.611) Prec@5 76.172 (72.930)
Epoch: [102][3510/5005] Time 0.207 (0.210) Data 0.046 (0.047) Loss 2.1306 (2.2887) Prec@1 48.438 (47.611) Prec@5 73.828 (72.931)
Epoch: [102][3520/5005] Time 0.211 (0.210) Data 0.042 (0.047) Loss 2.5627 (2.2889) Prec@1 43.359 (47.607) Prec@5 68.750 (72.929)
Epoch: [102][3530/5005] Time 0.211 (0.210) Data 0.055 (0.047) Loss 2.2617 (2.2887) Prec@1 49.609 (47.614) Prec@5 72.266 (72.932)
Epoch: [102][3540/5005] Time 0.212 (0.210) Data 0.047 (0.047) Loss 2.2416 (2.2885) Prec@1 48.438 (47.619) Prec@5 75.391 (72.934)
Epoch: [102][3550/5005] Time 0.206 (0.210) Data 0.051 (0.047) Loss 2.2641 (2.2885) Prec@1 48.047 (47.619) Prec@5 72.656 (72.934)
Epoch: [102][3560/5005] Time 0.211 (0.210) Data 0.047 (0.047) Loss 2.3812 (2.2884) Prec@1 44.141 (47.623) Prec@5 71.875 (72.937)
Epoch: [102][3570/5005] Time 0.209 (0.210) Data 0.045 (0.048) Loss 2.3813 (2.2884) Prec@1 47.656 (47.624) Prec@5 73.438 (72.937)
Epoch: [102][3580/5005] Time 0.196 (0.210) Data 0.050 (0.048) Loss 2.2026 (2.2884) Prec@1 45.312 (47.618) Prec@5 75.000 (72.936)
Epoch: [102][3590/5005] Time 0.216 (0.210) Data 0.044 (0.048) Loss 2.2524 (2.2881) Prec@1 46.484 (47.622) Prec@5 72.656 (72.941)
Epoch: [102][3600/5005] Time 0.206 (0.210) Data 0.044 (0.048) Loss 2.3036 (2.2879) Prec@1 48.438 (47.627) Prec@5 71.875 (72.943)
Epoch: [102][3610/5005] Time 0.203 (0.210) Data 0.046 (0.048) Loss 2.1078 (2.2878) Prec@1 50.781 (47.624) Prec@5 76.953 (72.946)
Epoch: [102][3620/5005] Time 0.206 (0.210) Data 0.044 (0.048) Loss 2.2994 (2.2876) Prec@1 44.141 (47.627) Prec@5 73.047 (72.951)
Epoch: [102][3630/5005] Time 0.208 (0.210) Data 0.040 (0.048) Loss 2.6050 (2.2875) Prec@1 45.312 (47.629) Prec@5 68.750 (72.953)
Epoch: [102][3640/5005] Time 0.201 (0.210) Data 0.047 (0.048) Loss 2.1951 (2.2875) Prec@1 47.656 (47.630) Prec@5 72.656 (72.952)
Epoch: [102][3650/5005] Time 0.203 (0.210) Data 0.046 (0.048) Loss 2.0649 (2.2874) Prec@1 51.172 (47.632) Prec@5 74.609 (72.954)
Epoch: [102][3660/5005] Time 0.197 (0.210) Data 0.047 (0.048) Loss 2.4459 (2.2873) Prec@1 45.703 (47.636) Prec@5 72.656 (72.957)
Epoch: [102][3670/5005] Time 0.214 (0.210) Data 0.045 (0.048) Loss 2.4963 (2.2874) Prec@1 42.188 (47.634) Prec@5 71.094 (72.956)
Epoch: [102][3680/5005] Time 0.209 (0.210) Data 0.047 (0.048) Loss 2.2063 (2.2875) Prec@1 48.828 (47.632) Prec@5 74.609 (72.955)
Epoch: [102][3690/5005] Time 0.213 (0.210) Data 0.050 (0.048) Loss 2.0546 (2.2876) Prec@1 47.656 (47.629) Prec@5 80.859 (72.956)
Epoch: [102][3700/5005] Time 0.214 (0.210) Data 0.043 (0.048) Loss 2.2561 (2.2876) Prec@1 48.828 (47.628) Prec@5 74.219 (72.957)
Epoch: [102][3710/5005] Time 0.210 (0.210) Data 0.048 (0.048) Loss 2.2886 (2.2876) Prec@1 49.219 (47.630) Prec@5 74.219 (72.956)
Epoch: [102][3720/5005] Time 0.197 (0.210) Data 0.049 (0.048) Loss 2.4455 (2.2875) Prec@1 44.922 (47.632) Prec@5 71.875 (72.962)
Epoch: [102][3730/5005] Time 0.205 (0.210) Data 0.046 (0.048) Loss 2.2382 (2.2875) Prec@1 47.266 (47.633) Prec@5 75.000 (72.963)
Epoch: [102][3740/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.2185 (2.2872) Prec@1 48.828 (47.636) Prec@5 74.219 (72.967)
Epoch: [102][3750/5005] Time 0.208 (0.210) Data 0.048 (0.048) Loss 2.1583 (2.2874) Prec@1 52.734 (47.633) Prec@5 74.219 (72.963)
Epoch: [102][3760/5005] Time 0.205 (0.209) Data 0.040 (0.047) Loss 2.2926 (2.2876) Prec@1 47.266 (47.628) Prec@5 69.531 (72.959)
Epoch: [102][3770/5005] Time 0.208 (0.209) Data 0.046 (0.047) Loss 2.2298 (2.2874) Prec@1 47.656 (47.632) Prec@5 72.656 (72.959)
Epoch: [102][3780/5005] Time 0.212 (0.209) Data 0.047 (0.047) Loss 2.3355 (2.2874) Prec@1 43.359 (47.634) Prec@5 71.484 (72.960)
Epoch: [102][3790/5005] Time 0.209 (0.209) Data 0.041 (0.047) Loss 2.4357 (2.2876) Prec@1 49.219 (47.630) Prec@5 70.703 (72.959)
Epoch: [102][3800/5005] Time 0.214 (0.209) Data 0.045 (0.047) Loss 2.2605 (2.2878) Prec@1 47.656 (47.627) Prec@5 72.656 (72.954)
Epoch: [102][3810/5005] Time 0.202 (0.209) Data 0.063 (0.047) Loss 2.3148 (2.2878) Prec@1 50.000 (47.624) Prec@5 70.312 (72.955)
Epoch: [102][3820/5005] Time 0.213 (0.209) Data 0.043 (0.047) Loss 2.1751 (2.2875) Prec@1 50.000 (47.627) Prec@5 76.953 (72.961)
Epoch: [102][3830/5005] Time 0.212 (0.209) Data 0.044 (0.047) Loss 2.4096 (2.2873) Prec@1 42.969 (47.631) Prec@5 70.312 (72.963)
Epoch: [102][3840/5005] Time 0.206 (0.209) Data 0.043 (0.047) Loss 2.3850 (2.2873) Prec@1 44.531 (47.632) Prec@5 69.531 (72.960)
Epoch: [102][3850/5005] Time 0.203 (0.209) Data 0.044 (0.047) Loss 2.4906 (2.2873) Prec@1 44.922 (47.630) Prec@5 69.141 (72.960)
Epoch: [102][3860/5005] Time 0.199 (0.210) Data 0.040 (0.047) Loss 2.1800 (2.2874) Prec@1 52.344 (47.631) Prec@5 76.562 (72.957)
Epoch: [102][3870/5005] Time 0.200 (0.210) Data 0.046 (0.047) Loss 2.1744 (2.2874) Prec@1 48.438 (47.626) Prec@5 74.219 (72.955)
Epoch: [102][3880/5005] Time 0.207 (0.210) Data 0.043 (0.047) Loss 2.0783 (2.2873) Prec@1 50.391 (47.626) Prec@5 74.609 (72.956)
Epoch: [102][3890/5005] Time 0.202 (0.210) Data 0.047 (0.047) Loss 2.3711 (2.2872) Prec@1 44.531 (47.627) Prec@5 70.312 (72.956)
Epoch: [102][3900/5005] Time 0.199 (0.210) Data 0.048 (0.047) Loss 2.3947 (2.2873) Prec@1 48.828 (47.626) Prec@5 73.047 (72.956)
Epoch: [102][3910/5005] Time 0.211 (0.210) Data 0.044 (0.047) Loss 2.3263 (2.2874) Prec@1 45.312 (47.622) Prec@5 73.438 (72.954)
Epoch: [102][3920/5005] Time 0.211 (0.210) Data 0.047 (0.047) Loss 2.1489 (2.2873) Prec@1 48.828 (47.623) Prec@5 75.781 (72.956)
Epoch: [102][3930/5005] Time 0.214 (0.210) Data 0.043 (0.047) Loss 2.1637 (2.2870) Prec@1 52.734 (47.627) Prec@5 73.438 (72.959)
Epoch: [102][3940/5005] Time 0.210 (0.210) Data 0.051 (0.047) Loss 2.2427 (2.2869) Prec@1 49.219 (47.627) Prec@5 71.875 (72.960)
Epoch: [102][3950/5005] Time 0.201 (0.210) Data 0.045 (0.047) Loss 2.2154 (2.2867) Prec@1 49.219 (47.631) Prec@5 75.000 (72.964)
Epoch: [102][3960/5005] Time 0.208 (0.210) Data 0.042 (0.047) Loss 2.3309 (2.2867) Prec@1 46.875 (47.628) Prec@5 71.875 (72.964)
Epoch: [102][3970/5005] Time 0.207 (0.210) Data 0.048 (0.047) Loss 2.1703 (2.2867) Prec@1 47.656 (47.627) Prec@5 77.734 (72.966)
Epoch: [102][3980/5005] Time 0.206 (0.210) Data 0.045 (0.047) Loss 2.0978 (2.2866) Prec@1 49.219 (47.628) Prec@5 74.219 (72.968)
Epoch: [102][3990/5005] Time 0.220 (0.210) Data 0.047 (0.047) Loss 2.4308 (2.2868) Prec@1 44.922 (47.623) Prec@5 71.875 (72.966)
Epoch: [102][4000/5005] Time 0.205 (0.210) Data 0.046 (0.047) Loss 2.3112 (2.2868) Prec@1 48.828 (47.623) Prec@5 71.094 (72.965)
Epoch: [102][4010/5005] Time 0.215 (0.210) Data 0.043 (0.047) Loss 2.3263 (2.2866) Prec@1 48.047 (47.628) Prec@5 70.312 (72.968)
Epoch: [102][4020/5005] Time 0.208 (0.210) Data 0.047 (0.047) Loss 2.4397 (2.2865) Prec@1 48.828 (47.629) Prec@5 70.703 (72.970)
Epoch: [102][4030/5005] Time 0.199 (0.210) Data 0.044 (0.047) Loss 2.4542 (2.2868) Prec@1 43.359 (47.625) Prec@5 69.531 (72.965)
Epoch: [102][4040/5005] Time 0.208 (0.210) Data 0.045 (0.047) Loss 2.3190 (2.2869) Prec@1 47.266 (47.621) Prec@5 72.266 (72.964)
Epoch: [102][4050/5005] Time 0.209 (0.210) Data 0.050 (0.047) Loss 2.5171 (2.2869) Prec@1 42.188 (47.621) Prec@5 68.359 (72.964)
Epoch: [102][4060/5005] Time 0.212 (0.210) Data 0.050 (0.047) Loss 2.3142 (2.2868) Prec@1 45.312 (47.621) Prec@5 70.703 (72.965)
Epoch: [102][4070/5005] Time 0.205 (0.210) Data 0.045 (0.047) Loss 2.3844 (2.2869) Prec@1 47.266 (47.619) Prec@5 73.828 (72.966)
Epoch: [102][4080/5005] Time 0.210 (0.210) Data 0.046 (0.047) Loss 2.1724 (2.2868) Prec@1 46.875 (47.619) Prec@5 74.609 (72.965)
Epoch: [102][4090/5005] Time 0.205 (0.210) Data 0.049 (0.047) Loss 2.5713 (2.2869) Prec@1 44.141 (47.616) Prec@5 67.578 (72.966)
Epoch: [102][4100/5005] Time 0.211 (0.210) Data 0.048 (0.047) Loss 2.4014 (2.2868) Prec@1 44.141 (47.614) Prec@5 68.359 (72.964)
Epoch: [102][4110/5005] Time 0.200 (0.210) Data 0.044 (0.047) Loss 2.5106 (2.2869) Prec@1 42.578 (47.613) Prec@5 67.578 (72.962)
Epoch: [102][4120/5005] Time 0.215 (0.210) Data 0.047 (0.047) Loss 2.2831 (2.2869) Prec@1 50.000 (47.612) Prec@5 71.875 (72.963)
Epoch: [102][4130/5005] Time 0.207 (0.209) Data 0.042 (0.047) Loss 2.3969 (2.2868) Prec@1 45.312 (47.615) Prec@5 72.656 (72.965)
Epoch: [102][4140/5005] Time 0.205 (0.209) Data 0.043 (0.047) Loss 2.3664 (2.2868) Prec@1 43.750 (47.614) Prec@5 73.438 (72.963)
Epoch: [102][4150/5005] Time 0.198 (0.209) Data 0.041 (0.047) Loss 2.5411 (2.2869) Prec@1 42.969 (47.614) Prec@5 68.750 (72.962)
Epoch: [102][4160/5005] Time 0.207 (0.209) Data 0.047 (0.047) Loss 2.2715 (2.2871) Prec@1 49.219 (47.612) Prec@5 72.656 (72.958)
Epoch: [102][4170/5005] Time 0.192 (0.209) Data 0.053 (0.047) Loss 2.0710 (2.2869) Prec@1 49.219 (47.616) Prec@5 75.391 (72.958)
Epoch: [102][4180/5005] Time 0.205 (0.209) Data 0.049 (0.047) Loss 2.2812 (2.2869) Prec@1 52.344 (47.618) Prec@5 73.438 (72.958)
Epoch: [102][4190/5005] Time 0.208 (0.209) Data 0.048 (0.047) Loss 2.1741 (2.2869) Prec@1 49.219 (47.617) Prec@5 76.172 (72.959)
Epoch: [102][4200/5005] Time 0.210 (0.209) Data 0.042 (0.047) Loss 2.1898 (2.2870) Prec@1 44.531 (47.615) Prec@5 73.438 (72.960)
Epoch: [102][4210/5005] Time 0.211 (0.209) Data 0.045 (0.047) Loss 2.2418 (2.2870) Prec@1 48.047 (47.616) Prec@5 73.828 (72.961)
Epoch: [102][4220/5005] Time 0.198 (0.209) Data 0.046 (0.047) Loss 2.4410 (2.2872) Prec@1 41.797 (47.614) Prec@5 71.484 (72.956)
Epoch: [102][4230/5005] Time 0.215 (0.209) Data 0.049 (0.047) Loss 2.2983 (2.2872) Prec@1 48.828 (47.612) Prec@5 73.438 (72.956)
Epoch: [102][4240/5005] Time 0.213 (0.209) Data 0.042 (0.047) Loss 2.0198 (2.2873) Prec@1 50.391 (47.613) Prec@5 77.734 (72.956)
Epoch: [102][4250/5005] Time 0.206 (0.209) Data 0.044 (0.047) Loss 2.1557 (2.2872) Prec@1 52.734 (47.611) Prec@5 74.609 (72.955)
Epoch: [102][4260/5005] Time 0.219 (0.209) Data 0.049 (0.047) Loss 2.3516 (2.2872) Prec@1 44.922 (47.610) Prec@5 70.312 (72.954)
Epoch: [102][4270/5005] Time 0.206 (0.209) Data 0.046 (0.047) Loss 2.4742 (2.2873) Prec@1 44.141 (47.608) Prec@5 73.047 (72.952)
Epoch: [102][4280/5005] Time 0.209 (0.209) Data 0.043 (0.047) Loss 2.4388 (2.2873) Prec@1 44.141 (47.610) Prec@5 69.531 (72.953)
Epoch: [102][4290/5005] Time 0.210 (0.209) Data 0.044 (0.047) Loss 2.4301 (2.2873) Prec@1 48.438 (47.610) Prec@5 70.312 (72.954)
Epoch: [102][4300/5005] Time 0.201 (0.209) Data 0.042 (0.047) Loss 2.1184 (2.2871) Prec@1 49.609 (47.615) Prec@5 75.000 (72.959)
Epoch: [102][4310/5005] Time 0.207 (0.209) Data 0.042 (0.047) Loss 2.2449 (2.2872) Prec@1 47.266 (47.616) Prec@5 71.875 (72.957)
Epoch: [102][4320/5005] Time 0.203 (0.209) Data 0.043 (0.047) Loss 2.1737 (2.2871) Prec@1 51.562 (47.619) Prec@5 74.219 (72.957)
Epoch: [102][4330/5005] Time 0.210 (0.209) Data 0.041 (0.047) Loss 2.2075 (2.2870) Prec@1 49.609 (47.620) Prec@5 76.562 (72.961)
Epoch: [102][4340/5005] Time 0.209 (0.209) Data 0.045 (0.047) Loss 2.2685 (2.2871) Prec@1 48.047 (47.620) Prec@5 70.703 (72.960)
Epoch: [102][4350/5005] Time 0.207 (0.209) Data 0.042 (0.047) Loss 2.3132 (2.2869) Prec@1 45.703 (47.622) Prec@5 71.484 (72.961)
Epoch: [102][4360/5005] Time 0.210 (0.209) Data 0.042 (0.047) Loss 2.1201 (2.2868) Prec@1 47.266 (47.623) Prec@5 73.828 (72.963)
Epoch: [102][4370/5005] Time 0.211 (0.209) Data 0.044 (0.047) Loss 2.1720 (2.2868) Prec@1 48.438 (47.624) Prec@5 76.562 (72.964)
Epoch: [102][4380/5005] Time 0.210 (0.209) Data 0.043 (0.047) Loss 2.3809 (2.2868) Prec@1 45.312 (47.624) Prec@5 70.312 (72.966)
Epoch: [102][4390/5005] Time 0.208 (0.209) Data 0.046 (0.047) Loss 2.3013 (2.2866) Prec@1 47.656 (47.629) Prec@5 72.656 (72.970)
Epoch: [102][4400/5005] Time 0.210 (0.209) Data 0.044 (0.047) Loss 2.2076 (2.2866) Prec@1 48.047 (47.630) Prec@5 72.266 (72.970)
Epoch: [102][4410/5005] Time 0.198 (0.209) Data 0.042 (0.047) Loss 2.3934 (2.2864) Prec@1 46.094 (47.633) Prec@5 69.141 (72.971)
Epoch: [102][4420/5005] Time 0.209 (0.209) Data 0.043 (0.047) Loss 1.9224 (2.2863) Prec@1 54.297 (47.633) Prec@5 78.125 (72.972)
Epoch: [102][4430/5005] Time 0.207 (0.209) Data 0.042 (0.047) Loss 2.2963 (2.2861) Prec@1 46.484 (47.637) Prec@5 71.875 (72.974)
Epoch: [102][4440/5005] Time 0.208 (0.209) Data 0.046 (0.047) Loss 2.3614 (2.2861) Prec@1 42.969 (47.638) Prec@5 71.875 (72.973)
Epoch: [102][4450/5005] Time 0.198 (0.209) Data 0.044 (0.047) Loss 2.1105 (2.2862) Prec@1 46.484 (47.634) Prec@5 76.953 (72.972)
Epoch: [102][4460/5005] Time 0.201 (0.209) Data 0.048 (0.047) Loss 2.3394 (2.2861) Prec@1 47.656 (47.634) Prec@5 73.438 (72.973)
Epoch: [102][4470/5005] Time 0.198 (0.209) Data 0.054 (0.047) Loss 2.2229 (2.2861) Prec@1 48.438 (47.634) Prec@5 73.828 (72.976)
Epoch: [102][4480/5005] Time 0.220 (0.209) Data 0.045 (0.047) Loss 2.2157 (2.2862) Prec@1 45.312 (47.629) Prec@5 72.266 (72.973)
Epoch: [102][4490/5005] Time 0.207 (0.209) Data 0.042 (0.047) Loss 2.2092 (2.2863) Prec@1 48.828 (47.626) Prec@5 70.312 (72.974)
Epoch: [102][4500/5005] Time 0.213 (0.209) Data 0.041 (0.047) Loss 2.2938 (2.2863) Prec@1 45.312 (47.628) Prec@5 75.000 (72.975)
Epoch: [102][4510/5005] Time 0.196 (0.209) Data 0.058 (0.047) Loss 2.0630 (2.2863) Prec@1 51.172 (47.627) Prec@5 75.781 (72.974)
Epoch: [102][4520/5005] Time 0.206 (0.209) Data 0.048 (0.047) Loss 2.1628 (2.2863) Prec@1 49.609 (47.628) Prec@5 74.609 (72.976)
Epoch: [102][4530/5005] Time 0.216 (0.209) Data 0.041 (0.047) Loss 2.1686 (2.2862) Prec@1 48.438 (47.630) Prec@5 76.172 (72.977)
Epoch: [102][4540/5005] Time 0.205 (0.209) Data 0.043 (0.047) Loss 2.3922 (2.2864) Prec@1 48.047 (47.625) Prec@5 74.219 (72.973)
Epoch: [102][4550/5005] Time 0.215 (0.209) Data 0.043 (0.047) Loss 2.2188 (2.2863) Prec@1 49.219 (47.629) Prec@5 73.047 (72.976)
Epoch: [102][4560/5005] Time 0.209 (0.209) Data 0.042 (0.047) Loss 2.2305 (2.2862) Prec@1 48.047 (47.633) Prec@5 71.875 (72.976)
Epoch: [102][4570/5005] Time 0.198 (0.209) Data 0.047 (0.047) Loss 2.4167 (2.2862) Prec@1 46.484 (47.632) Prec@5 71.484 (72.977)
Epoch: [102][4580/5005] Time 0.211 (0.209) Data 0.044 (0.047) Loss 2.4255 (2.2862) Prec@1 42.578 (47.633) Prec@5 69.531 (72.976)
Epoch: [102][4590/5005] Time 0.207 (0.209) Data 0.043 (0.047) Loss 2.1648 (2.2862) Prec@1 50.781 (47.634) Prec@5 74.219 (72.975)
Epoch: [102][4600/5005] Time 0.215 (0.209) Data 0.042 (0.047) Loss 2.0519 (2.2863) Prec@1 52.344 (47.633) Prec@5 76.172 (72.972)
Epoch: [102][4610/5005] Time 0.209 (0.209) Data 0.044 (0.047) Loss 2.1173 (2.2863) Prec@1 46.875 (47.634) Prec@5 75.781 (72.974)
Epoch: [102][4620/5005] Time 0.206 (0.209) Data 0.062 (0.047) Loss 2.3163 (2.2863) Prec@1 47.656 (47.637) Prec@5 72.266 (72.972)
Epoch: [102][4630/5005] Time 0.196 (0.209) Data 0.045 (0.047) Loss 2.1068 (2.2860) Prec@1 52.734 (47.641) Prec@5 75.000 (72.977)
Epoch: [102][4640/5005] Time 0.204 (0.209) Data 0.043 (0.047) Loss 2.3941 (2.2860) Prec@1 46.094 (47.640) Prec@5 71.484 (72.976)
Epoch: [102][4650/5005] Time 0.222 (0.209) Data 0.046 (0.047) Loss 2.3654 (2.2860) Prec@1 45.703 (47.640) Prec@5 69.922 (72.974)
Epoch: [102][4660/5005] Time 0.207 (0.209) Data 0.057 (0.047) Loss 2.5904 (2.2860) Prec@1 44.531 (47.642) Prec@5 67.969 (72.976)
Epoch: [102][4670/5005] Time 0.197 (0.209) Data 0.044 (0.047) Loss 2.2049 (2.2859) Prec@1 48.438 (47.645) Prec@5 72.656 (72.978)
Epoch: [102][4680/5005] Time 0.218 (0.209) Data 0.045 (0.047) Loss 2.1934 (2.2858) Prec@1 47.266 (47.646) Prec@5 76.562 (72.980)
Epoch: [102][4690/5005] Time 0.198 (0.209) Data 0.043 (0.047) Loss 2.4808 (2.2859) Prec@1 45.703 (47.642) Prec@5 68.750 (72.979)
Epoch: [102][4700/5005] Time 0.192 (0.209) Data 0.044 (0.047) Loss 2.3709 (2.2859) Prec@1 48.047 (47.643) Prec@5 70.312 (72.978)
Epoch: [102][4710/5005] Time 0.201 (0.209) Data 0.046 (0.047) Loss 2.1820 (2.2856) Prec@1 51.172 (47.650) Prec@5 73.438 (72.981)
Epoch: [102][4720/5005] Time 0.199 (0.209) Data 0.053 (0.047) Loss 2.2065 (2.2857) Prec@1 55.078 (47.650) Prec@5 74.609 (72.980)
Epoch: [102][4730/5005] Time 0.209 (0.209) Data 0.044 (0.047) Loss 2.2992 (2.2858) Prec@1 48.828 (47.648) Prec@5 73.047 (72.979)
Epoch: [102][4740/5005] Time 0.213 (0.209) Data 0.043 (0.047) Loss 2.2325 (2.2857) Prec@1 44.141 (47.649) Prec@5 75.391 (72.981)
Epoch: [102][4750/5005] Time 0.210 (0.209) Data 0.042 (0.047) Loss 2.1382 (2.2856) Prec@1 48.047 (47.652) Prec@5 75.391 (72.983)
Epoch: [102][4760/5005] Time 0.208 (0.209) Data 0.042 (0.047) Loss 2.4031 (2.2855) Prec@1 44.922 (47.653) Prec@5 68.750 (72.983)
Epoch: [102][4770/5005] Time 0.206 (0.209) Data 0.057 (0.047) Loss 2.2106 (2.2854) Prec@1 51.562 (47.657) Prec@5 73.828 (72.983)
Epoch: [102][4780/5005] Time 0.210 (0.209) Data 0.042 (0.047) Loss 2.3250 (2.2854) Prec@1 44.531 (47.657) Prec@5 71.094 (72.983)
Epoch: [102][4790/5005] Time 0.210 (0.209) Data 0.044 (0.047) Loss 2.4616 (2.2855) Prec@1 45.312 (47.658) Prec@5 70.703 (72.981)
Epoch: [102][4800/5005] Time 0.201 (0.209) Data 0.058 (0.047) Loss 2.2990 (2.2854) Prec@1 44.531 (47.658) Prec@5 73.047 (72.983)
Epoch: [102][4810/5005] Time 0.206 (0.209) Data 0.047 (0.047) Loss 2.5129 (2.2854) Prec@1 45.703 (47.657) Prec@5 67.578 (72.983)
Epoch: [102][4820/5005] Time 0.204 (0.209) Data 0.045 (0.047) Loss 2.4766 (2.2853) Prec@1 42.578 (47.660) Prec@5 68.750 (72.984)
Epoch: [102][4830/5005] Time 0.216 (0.209) Data 0.044 (0.047) Loss 2.2870 (2.2851) Prec@1 48.828 (47.665) Prec@5 73.828 (72.986)
Epoch: [102][4840/5005] Time 0.209 (0.209) Data 0.042 (0.047) Loss 2.1141 (2.2852) Prec@1 50.391 (47.664) Prec@5 75.391 (72.984)
Epoch: [102][4850/5005] Time 0.210 (0.209) Data 0.044 (0.047) Loss 2.4215 (2.2854) Prec@1 42.969 (47.662) Prec@5 71.484 (72.981)
Epoch: [102][4860/5005] Time 0.209 (0.209) Data 0.042 (0.047) Loss 2.2233 (2.2852) Prec@1 48.047 (47.666) Prec@5 75.000 (72.985)
Epoch: [102][4870/5005] Time 0.214 (0.209) Data 0.042 (0.047) Loss 2.2152 (2.2853) Prec@1 49.219 (47.667) Prec@5 73.438 (72.984)
Epoch: [102][4880/5005] Time 0.201 (0.209) Data 0.043 (0.047) Loss 2.0245 (2.2852) Prec@1 50.391 (47.669) Prec@5 75.781 (72.986)
Epoch: [102][4890/5005] Time 0.200 (0.209) Data 0.052 (0.047) Loss 2.3926 (2.2851) Prec@1 46.094 (47.669) Prec@5 69.531 (72.985)
Epoch: [102][4900/5005] Time 0.210 (0.209) Data 0.042 (0.047) Loss 2.1241 (2.2851) Prec@1 49.219 (47.669) Prec@5 75.391 (72.986)
Epoch: [102][4910/5005] Time 0.206 (0.209) Data 0.044 (0.047) Loss 2.1966 (2.2849) Prec@1 49.219 (47.670) Prec@5 71.484 (72.989)
Epoch: [102][4920/5005] Time 0.209 (0.209) Data 0.044 (0.047) Loss 2.2732 (2.2848) Prec@1 45.312 (47.672) Prec@5 73.828 (72.992)
Epoch: [102][4930/5005] Time 0.216 (0.209) Data 0.043 (0.047) Loss 2.4463 (2.2847) Prec@1 44.531 (47.674) Prec@5 69.531 (72.995)
Epoch: [102][4940/5005] Time 0.214 (0.209) Data 0.042 (0.047) Loss 2.2838 (2.2848) Prec@1 46.875 (47.674) Prec@5 73.828 (72.993)
Epoch: [102][4950/5005] Time 0.207 (0.209) Data 0.055 (0.047) Loss 2.0190 (2.2848) Prec@1 52.734 (47.674) Prec@5 78.516 (72.994)
Epoch: [102][4960/5005] Time 0.203 (0.209) Data 0.051 (0.047) Loss 2.3430 (2.2847) Prec@1 51.172 (47.675) Prec@5 71.484 (72.996)
Epoch: [102][4970/5005] Time 0.203 (0.209) Data 0.047 (0.047) Loss 2.4250 (2.2847) Prec@1 44.531 (47.675) Prec@5 72.656 (72.997)
Epoch: [102][4980/5005] Time 0.205 (0.209) Data 0.042 (0.047) Loss 2.2259 (2.2845) Prec@1 48.828 (47.677) Prec@5 75.391 (73.000)
Epoch: [102][4990/5005] Time 0.203 (0.209) Data 0.022 (0.047) Loss 2.3069 (2.2844) Prec@1 42.969 (47.679) Prec@5 70.703 (73.001)
Epoch: [102][5000/5005] Time 0.204 (0.209) Data 0.022 (0.047) Loss 2.3261 (2.2843) Prec@1 49.609 (47.680) Prec@5 71.094 (73.002)
Test: [0/196] Time 1.372 (1.372) Loss 2.3670 (2.3670) Prec@1 51.562 (51.562) Prec@5 72.656 (72.656)
Test: [10/196] Time 0.061 (0.276) Loss 2.4673 (2.5403) Prec@1 47.656 (44.851) Prec@5 70.312 (69.212)
Test: [20/196] Time 0.048 (0.244) Loss 2.4477 (2.5452) Prec@1 45.312 (43.806) Prec@5 72.656 (69.438)
Test: [30/196] Time 0.161 (0.209) Loss 2.4538 (2.5402) Prec@1 44.141 (43.851) Prec@5 71.875 (69.657)
Test: [40/196] Time 0.044 (0.199) Loss 2.2977 (2.5370) Prec@1 49.219 (44.293) Prec@5 73.828 (69.750)
Test: [50/196] Time 0.041 (0.212) Loss 2.6005 (2.5377) Prec@1 48.438 (44.416) Prec@5 70.703 (69.776)
Test: [60/196] Time 0.251 (0.196) Loss 2.4761 (2.5242) Prec@1 48.047 (44.730) Prec@5 71.484 (69.890)
Test: [70/196] Time 0.044 (0.189) Loss 2.4864 (2.5189) Prec@1 48.047 (44.839) Prec@5 70.312 (69.834)
Test: [80/196] Time 0.044 (0.187) Loss 2.3982 (2.5276) Prec@1 52.344 (44.758) Prec@5 73.047 (69.748)
Test: [90/196] Time 0.045 (0.187) Loss 2.6615 (2.5311) Prec@1 44.922 (44.690) Prec@5 68.359 (69.707)
Test: [100/196] Time 1.266 (0.194) Loss 2.5346 (2.5276) Prec@1 45.703 (44.914) Prec@5 69.922 (69.771)
Test: [110/196] Time 0.543 (0.189) Loss 2.7329 (2.5299) Prec@1 40.234 (44.890) Prec@5 64.453 (69.725)
Test: [120/196] Time 0.083 (0.187) Loss 2.3373 (2.5262) Prec@1 47.656 (44.996) Prec@5 73.047 (69.783)
Test: [130/196] Time 0.042 (0.181) Loss 2.2023 (2.5222) Prec@1 50.391 (45.080) Prec@5 75.000 (69.829)
Test: [140/196] Time 0.456 (0.184) Loss 2.3418 (2.5253) Prec@1 48.047 (44.941) Prec@5 71.094 (69.728)
Test: [150/196] Time 0.043 (0.182) Loss 2.1743 (2.5244) Prec@1 50.000 (44.904) Prec@5 77.734 (69.769)
Test: [160/196] Time 0.593 (0.184) Loss 2.4489 (2.5225) Prec@1 50.391 (44.902) Prec@5 70.312 (69.822)
Test: [170/196] Time 0.044 (0.180) Loss 2.3936 (2.5240) Prec@1 45.703 (44.897) Prec@5 74.609 (69.767)
Test: [180/196] Time 0.041 (0.181) Loss 2.7154 (2.5285) Prec@1 40.234 (44.766) Prec@5 66.797 (69.674)
Test: [190/196] Time 0.097 (0.181) Loss 2.7766 (2.5310) Prec@1 42.188 (44.717) Prec@5 65.625 (69.584)
* Prec@1 44.726 Prec@5 69.624
Learning rate: 1e-07
Epoch: [103][0/5005] Time 1.185 (1.185) Data 1.088 (1.088) Loss 2.2922 (2.2922) Prec@1 46.094 (46.094) Prec@5 74.219 (74.219)
Epoch: [103][10/5005] Time 0.204 (0.292) Data 0.049 (0.145) Loss 2.3993 (2.3275) Prec@1 48.047 (46.449) Prec@5 69.922 (71.768)
Epoch: [103][20/5005] Time 0.197 (0.248) Data 0.047 (0.100) Loss 2.4494 (2.3238) Prec@1 42.578 (46.540) Prec@5 74.609 (71.931)
Epoch: [103][30/5005] Time 0.206 (0.234) Data 0.044 (0.082) Loss 2.2391 (2.2849) Prec@1 52.734 (47.543) Prec@5 71.094 (72.442)
Epoch: [103][40/5005] Time 0.204 (0.227) Data 0.044 (0.073) Loss 2.0721 (2.2953) Prec@1 52.734 (47.542) Prec@5 75.391 (72.428)
Epoch: [103][50/5005] Time 0.210 (0.223) Data 0.044 (0.067) Loss 2.1216 (2.2984) Prec@1 47.656 (47.097) Prec@5 76.562 (72.518)
Epoch: [103][60/5005] Time 0.212 (0.220) Data 0.041 (0.063) Loss 2.1621 (2.2941) Prec@1 48.438 (47.355) Prec@5 77.344 (72.579)
Epoch: [103][70/5005] Time 0.205 (0.218) Data 0.045 (0.061) Loss 2.3547 (2.3061) Prec@1 45.312 (47.183) Prec@5 72.656 (72.354)
Epoch: [103][80/5005] Time 0.192 (0.216) Data 0.045 (0.059) Loss 2.1886 (2.2969) Prec@1 51.172 (47.434) Prec@5 76.562 (72.526)
Epoch: [103][90/5005] Time 0.193 (0.214) Data 0.046 (0.058) Loss 2.3738 (2.2911) Prec@1 48.047 (47.562) Prec@5 70.703 (72.673)
Epoch: [103][100/5005] Time 0.210 (0.213) Data 0.045 (0.056) Loss 2.1200 (2.2970) Prec@1 50.781 (47.324) Prec@5 76.172 (72.610)
Epoch: [103][110/5005] Time 0.208 (0.212) Data 0.041 (0.055) Loss 2.2900 (2.2959) Prec@1 51.562 (47.487) Prec@5 71.875 (72.625)
Epoch: [103][120/5005] Time 0.203 (0.211) Data 0.047 (0.055) Loss 2.2843 (2.2950) Prec@1 48.828 (47.582) Prec@5 74.219 (72.653)
Epoch: [103][130/5005] Time 0.198 (0.211) Data 0.040 (0.054) Loss 2.5039 (2.2952) Prec@1 43.359 (47.567) Prec@5 71.094 (72.695)
Epoch: [103][140/5005] Time 0.202 (0.210) Data 0.050 (0.053) Loss 2.2782 (2.2939) Prec@1 48.438 (47.532) Prec@5 71.875 (72.681)
Epoch: [103][150/5005] Time 0.200 (0.210) Data 0.041 (0.053) Loss 2.2882 (2.2947) Prec@1 50.391 (47.573) Prec@5 72.266 (72.700)
Epoch: [103][160/5005] Time 0.202 (0.210) Data 0.048 (0.053) Loss 2.1398 (2.2953) Prec@1 50.391 (47.537) Prec@5 73.828 (72.690)
Epoch: [103][170/5005] Time 0.205 (0.210) Data 0.059 (0.052) Loss 2.3966 (2.2963) Prec@1 48.828 (47.528) Prec@5 71.484 (72.711)
Epoch: [103][180/5005] Time 0.223 (0.210) Data 0.045 (0.052) Loss 2.5417 (2.2963) Prec@1 46.875 (47.518) Prec@5 69.141 (72.721)
Epoch: [103][190/5005] Time 0.224 (0.211) Data 0.045 (0.052) Loss 2.5038 (2.3014) Prec@1 44.922 (47.435) Prec@5 68.750 (72.630)
Epoch: [103][200/5005] Time 0.222 (0.211) Data 0.042 (0.052) Loss 2.5667 (2.3040) Prec@1 43.750 (47.351) Prec@5 68.359 (72.606)
Epoch: [103][210/5005] Time 0.217 (0.212) Data 0.044 (0.051) Loss 2.0909 (2.3038) Prec@1 49.609 (47.340) Prec@5 76.562 (72.614)
Epoch: [103][220/5005] Time 0.222 (0.212) Data 0.048 (0.051) Loss 2.3480 (2.3026) Prec@1 49.609 (47.379) Prec@5 73.828 (72.656)
Epoch: [103][230/5005] Time 0.223 (0.212) Data 0.042 (0.051) Loss 2.3771 (2.3024) Prec@1 49.219 (47.420) Prec@5 71.875 (72.680)
Epoch: [103][240/5005] Time 0.219 (0.213) Data 0.053 (0.051) Loss 2.3173 (2.3016) Prec@1 48.828 (47.429) Prec@5 69.531 (72.706)
Epoch: [103][250/5005] Time 0.217 (0.213) Data 0.048 (0.050) Loss 2.3787 (2.2993) Prec@1 45.312 (47.476) Prec@5 71.875 (72.767)
Epoch: [103][260/5005] Time 0.217 (0.213) Data 0.041 (0.050) Loss 2.0472 (2.2981) Prec@1 49.219 (47.520) Prec@5 75.391 (72.794)
Epoch: [103][270/5005] Time 0.217 (0.213) Data 0.045 (0.050) Loss 2.2746 (2.2992) Prec@1 48.438 (47.527) Prec@5 72.266 (72.777)
Epoch: [103][280/5005] Time 0.213 (0.213) Data 0.046 (0.050) Loss 2.6584 (2.3015) Prec@1 44.141 (47.506) Prec@5 65.234 (72.727)
Epoch: [103][290/5005] Time 0.219 (0.213) Data 0.042 (0.050) Loss 2.1025 (2.3015) Prec@1 50.781 (47.476) Prec@5 73.828 (72.715)
Epoch: [103][300/5005] Time 0.216 (0.213) Data 0.043 (0.050) Loss 1.9376 (2.2999) Prec@1 54.297 (47.558) Prec@5 81.641 (72.750)
Epoch: [103][310/5005] Time 0.213 (0.213) Data 0.043 (0.049) Loss 2.1968 (2.2969) Prec@1 51.172 (47.588) Prec@5 74.609 (72.802)
Epoch: [103][320/5005] Time 0.206 (0.213) Data 0.042 (0.049) Loss 2.4965 (2.2983) Prec@1 41.406 (47.569) Prec@5 68.359 (72.801)
Epoch: [103][330/5005] Time 0.220 (0.213) Data 0.047 (0.049) Loss 2.0037 (2.2964) Prec@1 54.297 (47.576) Prec@5 73.828 (72.832)
Epoch: [103][340/5005] Time 0.219 (0.213) Data 0.043 (0.049) Loss 2.4653 (2.2997) Prec@1 43.750 (47.549) Prec@5 71.094 (72.788)
Epoch: [103][350/5005] Time 0.211 (0.213) Data 0.047 (0.049) Loss 2.4626 (2.2996) Prec@1 44.531 (47.545) Prec@5 69.922 (72.764)
Epoch: [103][360/5005] Time 0.223 (0.214) Data 0.048 (0.049) Loss 2.3894 (2.3000) Prec@1 46.094 (47.540) Prec@5 70.703 (72.747)
Epoch: [103][370/5005] Time 0.220 (0.214) Data 0.052 (0.049) Loss 2.3408 (2.3000) Prec@1 44.922 (47.524) Prec@5 72.266 (72.758)
Epoch: [103][380/5005] Time 0.199 (0.214) Data 0.045 (0.049) Loss 2.3425 (2.3011) Prec@1 49.609 (47.519) Prec@5 71.094 (72.717)
Epoch: [103][390/5005] Time 0.220 (0.214) Data 0.045 (0.049) Loss 2.3200 (2.3023) Prec@1 44.531 (47.484) Prec@5 73.828 (72.711)
Epoch: [103][400/5005] Time 0.220 (0.214) Data 0.042 (0.049) Loss 2.2185 (2.3014) Prec@1 46.094 (47.503) Prec@5 75.781 (72.712)
Epoch: [103][410/5005] Time 0.216 (0.214) Data 0.056 (0.049) Loss 2.1770 (2.3009) Prec@1 48.438 (47.530) Prec@5 74.609 (72.708)
Epoch: [103][420/5005] Time 0.202 (0.214) Data 0.044 (0.049) Loss 2.1725 (2.2990) Prec@1 49.609 (47.577) Prec@5 73.438 (72.734)
Epoch: [103][430/5005] Time 0.216 (0.214) Data 0.048 (0.049) Loss 2.1480 (2.2986) Prec@1 50.781 (47.575) Prec@5 76.172 (72.751)
Epoch: [103][440/5005] Time 0.214 (0.214) Data 0.042 (0.049) Loss 2.2276 (2.2969) Prec@1 53.125 (47.606) Prec@5 75.781 (72.785)
Epoch: [103][450/5005] Time 0.214 (0.214) Data 0.061 (0.049) Loss 2.1157 (2.2980) Prec@1 44.531 (47.572) Prec@5 76.953 (72.775)
Epoch: [103][460/5005] Time 0.215 (0.214) Data 0.043 (0.049) Loss 2.3195 (2.2983) Prec@1 49.219 (47.554) Prec@5 71.484 (72.784)
Epoch: [103][470/5005] Time 0.211 (0.214) Data 0.052 (0.049) Loss 2.3282 (2.2998) Prec@1 45.703 (47.529) Prec@5 70.312 (72.752)
Epoch: [103][480/5005] Time 0.213 (0.214) Data 0.044 (0.049) Loss 2.3863 (2.2997) Prec@1 45.703 (47.534) Prec@5 72.656 (72.755)
Epoch: [103][490/5005] Time 0.212 (0.214) Data 0.042 (0.049) Loss 2.2168 (2.2999) Prec@1 54.688 (47.542) Prec@5 75.781 (72.760)
Epoch: [103][500/5005] Time 0.200 (0.214) Data 0.052 (0.049) Loss 2.3784 (2.3015) Prec@1 49.609 (47.532) Prec@5 71.094 (72.740)
Epoch: [103][510/5005] Time 0.206 (0.214) Data 0.045 (0.049) Loss 2.6788 (2.3025) Prec@1 39.453 (47.514) Prec@5 66.016 (72.716)
Epoch: [103][520/5005] Time 0.209 (0.214) Data 0.058 (0.049) Loss 2.3585 (2.3021) Prec@1 45.703 (47.522) Prec@5 69.922 (72.715)
Epoch: [103][530/5005] Time 0.217 (0.214) Data 0.042 (0.049) Loss 2.2478 (2.3026) Prec@1 49.219 (47.506) Prec@5 73.047 (72.723)
Epoch: [103][540/5005] Time 0.217 (0.214) Data 0.043 (0.049) Loss 2.4878 (2.3032) Prec@1 44.531 (47.486) Prec@5 67.578 (72.720)
Epoch: [103][550/5005] Time 0.214 (0.214) Data 0.042 (0.049) Loss 2.2680 (2.3026) Prec@1 46.875 (47.486) Prec@5 76.562 (72.738)
Epoch: [103][560/5005] Time 0.211 (0.214) Data 0.043 (0.049) Loss 2.4049 (2.3024) Prec@1 44.141 (47.507) Prec@5 71.094 (72.747)
Epoch: [103][570/5005] Time 0.220 (0.214) Data 0.043 (0.049) Loss 2.4547 (2.3037) Prec@1 44.141 (47.469) Prec@5 69.141 (72.730)
Epoch: [103][580/5005] Time 0.213 (0.214) Data 0.046 (0.048) Loss 2.3617 (2.3028) Prec@1 46.484 (47.482) Prec@5 69.922 (72.730)
Epoch: [103][590/5005] Time 0.204 (0.214) Data 0.051 (0.048) Loss 2.4053 (2.3026) Prec@1 45.312 (47.482) Prec@5 69.922 (72.728)
Epoch: [103][600/5005] Time 0.217 (0.214) Data 0.042 (0.048) Loss 2.3035 (2.3039) Prec@1 50.391 (47.477) Prec@5 73.828 (72.724)
Epoch: [103][610/5005] Time 0.208 (0.214) Data 0.058 (0.048) Loss 2.3327 (2.3043) Prec@1 44.531 (47.461) Prec@5 73.828 (72.712)
Epoch: [103][620/5005] Time 0.208 (0.214) Data 0.048 (0.048) Loss 2.3154 (2.3037) Prec@1 49.219 (47.495) Prec@5 72.656 (72.722)
Epoch: [103][630/5005] Time 0.218 (0.214) Data 0.049 (0.049) Loss 2.4693 (2.3036) Prec@1 43.750 (47.494) Prec@5 68.750 (72.727)
Epoch: [103][640/5005] Time 0.208 (0.214) Data 0.042 (0.048) Loss 2.0736 (2.3034) Prec@1 46.875 (47.485) Prec@5 78.125 (72.739)
Epoch: [103][650/5005] Time 0.211 (0.214) Data 0.051 (0.049) Loss 2.3684 (2.3042) Prec@1 42.188 (47.470) Prec@5 69.922 (72.714)
Epoch: [103][660/5005] Time 0.217 (0.214) Data 0.042 (0.048) Loss 2.4162 (2.3034) Prec@1 40.625 (47.482) Prec@5 75.781 (72.734)
Epoch: [103][670/5005] Time 0.206 (0.214) Data 0.042 (0.048) Loss 2.5043 (2.3039) Prec@1 42.578 (47.480) Prec@5 71.484 (72.715)
Epoch: [103][680/5005] Time 0.202 (0.214) Data 0.046 (0.048) Loss 2.2548 (2.3035) Prec@1 48.438 (47.490) Prec@5 77.734 (72.725)
Epoch: [103][690/5005] Time 0.207 (0.214) Data 0.046 (0.048) Loss 2.2216 (2.3027) Prec@1 49.219 (47.496) Prec@5 74.609 (72.739)
Epoch: [103][700/5005] Time 0.220 (0.214) Data 0.046 (0.048) Loss 2.4272 (2.3025) Prec@1 46.094 (47.489) Prec@5 68.359 (72.738)
Epoch: [103][710/5005] Time 0.209 (0.214) Data 0.047 (0.049) Loss 2.0767 (2.3018) Prec@1 49.609 (47.490) Prec@5 76.562 (72.749)
Epoch: [103][720/5005] Time 0.219 (0.214) Data 0.049 (0.049) Loss 2.1082 (2.3016) Prec@1 51.172 (47.495) Prec@5 75.391 (72.753)
Epoch: [103][730/5005] Time 0.211 (0.214) Data 0.043 (0.048) Loss 2.4724 (2.3017) Prec@1 46.484 (47.502) Prec@5 71.094 (72.758)
Epoch: [103][740/5005] Time 0.211 (0.214) Data 0.047 (0.049) Loss 2.4286 (2.3025) Prec@1 47.656 (47.484) Prec@5 72.266 (72.731)
Epoch: [103][750/5005] Time 0.209 (0.213) Data 0.043 (0.048) Loss 2.0246 (2.3021) Prec@1 51.562 (47.496) Prec@5 77.344 (72.736)
Epoch: [103][760/5005] Time 0.221 (0.214) Data 0.044 (0.048) Loss 2.2420 (2.3025) Prec@1 46.094 (47.491) Prec@5 75.391 (72.733)
Epoch: [103][770/5005] Time 0.214 (0.214) Data 0.043 (0.048) Loss 2.3293 (2.3010) Prec@1 47.656 (47.531) Prec@5 69.531 (72.753)
Epoch: [103][780/5005] Time 0.211 (0.214) Data 0.047 (0.048) Loss 2.4860 (2.3009) Prec@1 44.922 (47.548) Prec@5 69.922 (72.749)
Epoch: [103][790/5005] Time 0.212 (0.214) Data 0.046 (0.048) Loss 2.2878 (2.3006) Prec@1 52.344 (47.562) Prec@5 71.094 (72.755)
Epoch: [103][800/5005] Time 0.199 (0.213) Data 0.045 (0.048) Loss 2.1168 (2.2997) Prec@1 53.516 (47.584) Prec@5 75.000 (72.762)
Epoch: [103][810/5005] Time 0.208 (0.213) Data 0.046 (0.048) Loss 2.3072 (2.2998) Prec@1 45.703 (47.573) Prec@5 73.828 (72.769)
Epoch: [103][820/5005] Time 0.199 (0.213) Data 0.052 (0.048) Loss 2.4181 (2.3000) Prec@1 47.656 (47.575) Prec@5 69.922 (72.767)
Epoch: [103][830/5005] Time 0.196 (0.213) Data 0.049 (0.048) Loss 2.2941 (2.3008) Prec@1 45.703 (47.565) Prec@5 73.438 (72.747)
Epoch: [103][840/5005] Time 0.221 (0.213) Data 0.045 (0.048) Loss 2.3184 (2.3006) Prec@1 45.703 (47.564) Prec@5 69.922 (72.745)
Epoch: [103][850/5005] Time 0.215 (0.213) Data 0.044 (0.048) Loss 2.3940 (2.3003) Prec@1 49.219 (47.562) Prec@5 69.922 (72.746)
Epoch: [103][860/5005] Time 0.212 (0.213) Data 0.046 (0.048) Loss 2.2717 (2.3002) Prec@1 48.047 (47.572) Prec@5 70.312 (72.744)
Epoch: [103][870/5005] Time 0.216 (0.213) Data 0.043 (0.048) Loss 2.4059 (2.2989) Prec@1 41.406 (47.582) Prec@5 73.438 (72.766)
Epoch: [103][880/5005] Time 0.213 (0.213) Data 0.042 (0.048) Loss 2.2517 (2.2998) Prec@1 44.922 (47.560) Prec@5 73.047 (72.753)
Epoch: [103][890/5005] Time 0.209 (0.213) Data 0.048 (0.048) Loss 2.5969 (2.2997) Prec@1 39.453 (47.562) Prec@5 65.234 (72.736)
Epoch: [103][900/5005] Time 0.218 (0.213) Data 0.043 (0.048) Loss 2.1602 (2.2993) Prec@1 47.266 (47.561) Prec@5 74.219 (72.739)
Epoch: [103][910/5005] Time 0.215 (0.213) Data 0.045 (0.048) Loss 2.3385 (2.2991) Prec@1 44.531 (47.565) Prec@5 71.094 (72.731)
Epoch: [103][920/5005] Time 0.207 (0.213) Data 0.043 (0.048) Loss 2.3077 (2.2987) Prec@1 48.047 (47.573) Prec@5 74.219 (72.741)
Epoch: [103][930/5005] Time 0.213 (0.213) Data 0.047 (0.048) Loss 2.2175 (2.2980) Prec@1 50.781 (47.590) Prec@5 73.828 (72.745)
Epoch: [103][940/5005] Time 0.211 (0.213) Data 0.043 (0.048) Loss 2.0076 (2.2978) Prec@1 50.000 (47.589) Prec@5 79.688 (72.766)
Epoch: [103][950/5005] Time 0.217 (0.213) Data 0.046 (0.048) Loss 2.5003 (2.2989) Prec@1 43.359 (47.576) Prec@5 69.141 (72.750)
Epoch: [103][960/5005] Time 0.215 (0.213) Data 0.044 (0.048) Loss 2.6179 (2.2991) Prec@1 42.969 (47.566) Prec@5 67.969 (72.752)
Epoch: [103][970/5005] Time 0.217 (0.213) Data 0.043 (0.048) Loss 2.2744 (2.2989) Prec@1 44.922 (47.568) Prec@5 73.438 (72.748)
Epoch: [103][980/5005] Time 0.218 (0.213) Data 0.049 (0.048) Loss 2.1899 (2.2983) Prec@1 46.875 (47.573) Prec@5 73.047 (72.752)
Epoch: [103][990/5005] Time 0.200 (0.213) Data 0.058 (0.048) Loss 2.3808 (2.2989) Prec@1 42.188 (47.547) Prec@5 75.000 (72.743)
Epoch: [103][1000/5005] Time 0.198 (0.213) Data 0.039 (0.048) Loss 2.1366 (2.2986) Prec@1 52.734 (47.550) Prec@5 77.734 (72.745)
Epoch: [103][1010/5005] Time 0.201 (0.213) Data 0.051 (0.048) Loss 2.2929 (2.2984) Prec@1 50.391 (47.564) Prec@5 74.609 (72.747)
Epoch: [103][1020/5005] Time 0.210 (0.214) Data 0.045 (0.048) Loss 2.1934 (2.2990) Prec@1 53.906 (47.559) Prec@5 75.781 (72.732)
Epoch: [103][1030/5005] Time 0.214 (0.214) Data 0.046 (0.048) Loss 2.2080 (2.2986) Prec@1 47.266 (47.556) Prec@5 74.219 (72.741)
Epoch: [103][1040/5005] Time 0.210 (0.214) Data 0.048 (0.048) Loss 2.3978 (2.2987) Prec@1 45.312 (47.556) Prec@5 70.703 (72.737)
Epoch: [103][1050/5005] Time 0.205 (0.214) Data 0.047 (0.048) Loss 2.4724 (2.2992) Prec@1 45.703 (47.544) Prec@5 66.406 (72.720)
Epoch: [103][1060/5005] Time 0.206 (0.214) Data 0.043 (0.048) Loss 2.3432 (2.2996) Prec@1 50.391 (47.546) Prec@5 71.094 (72.713)
Epoch: [103][1070/5005] Time 0.203 (0.214) Data 0.043 (0.048) Loss 2.4212 (2.2997) Prec@1 46.484 (47.543) Prec@5 71.094 (72.710)
Epoch: [103][1080/5005] Time 0.207 (0.214) Data 0.044 (0.048) Loss 2.3709 (2.2999) Prec@1 47.266 (47.541) Prec@5 72.656 (72.712)
Epoch: [103][1090/5005] Time 0.210 (0.214) Data 0.044 (0.048) Loss 2.0372 (2.2995) Prec@1 51.953 (47.550) Prec@5 76.172 (72.728)
Epoch: [103][1100/5005] Time 0.204 (0.214) Data 0.045 (0.048) Loss 2.2082 (2.2990) Prec@1 49.609 (47.562) Prec@5 73.438 (72.737)
Epoch: [103][1110/5005] Time 0.194 (0.214) Data 0.044 (0.048) Loss 2.2458 (2.2990) Prec@1 46.875 (47.562) Prec@5 75.000 (72.741)
Epoch: [103][1120/5005] Time 0.206 (0.214) Data 0.051 (0.048) Loss 2.2164 (2.2982) Prec@1 46.875 (47.574) Prec@5 74.219 (72.756)
Epoch: [103][1130/5005] Time 0.204 (0.214) Data 0.046 (0.048) Loss 2.4529 (2.2989) Prec@1 43.359 (47.560) Prec@5 69.141 (72.744)
Epoch: [103][1140/5005] Time 0.210 (0.214) Data 0.042 (0.048) Loss 2.2768 (2.2985) Prec@1 48.828 (47.571) Prec@5 73.047 (72.758)
Epoch: [103][1150/5005] Time 0.210 (0.214) Data 0.051 (0.048) Loss 2.2291 (2.2984) Prec@1 44.922 (47.572) Prec@5 73.438 (72.763)
Epoch: [103][1160/5005] Time 0.205 (0.214) Data 0.044 (0.048) Loss 2.3073 (2.2985) Prec@1 50.391 (47.569) Prec@5 74.219 (72.761)
Epoch: [103][1170/5005] Time 0.213 (0.214) Data 0.042 (0.048) Loss 2.2546 (2.2988) Prec@1 47.266 (47.561) Prec@5 74.219 (72.757)
Epoch: [103][1180/5005] Time 0.205 (0.214) Data 0.046 (0.048) Loss 2.3803 (2.2987) Prec@1 44.922 (47.549) Prec@5 70.703 (72.747)
Epoch: [103][1190/5005] Time 0.197 (0.213) Data 0.047 (0.048) Loss 2.2059 (2.2984) Prec@1 48.828 (47.551) Prec@5 75.781 (72.751)
Epoch: [103][1200/5005] Time 0.215 (0.213) Data 0.047 (0.048) Loss 2.3387 (2.2986) Prec@1 46.484 (47.544) Prec@5 71.094 (72.752)
Epoch: [103][1210/5005] Time 0.206 (0.213) Data 0.044 (0.048) Loss 2.3244 (2.2990) Prec@1 47.656 (47.543) Prec@5 72.266 (72.748)
Epoch: [103][1220/5005] Time 0.221 (0.213) Data 0.043 (0.048) Loss 2.3608 (2.2994) Prec@1 45.312 (47.544) Prec@5 71.094 (72.746)
Epoch: [103][1230/5005] Time 0.218 (0.213) Data 0.043 (0.048) Loss 2.1773 (2.2993) Prec@1 50.781 (47.539) Prec@5 74.609 (72.746)
Epoch: [103][1240/5005] Time 0.211 (0.213) Data 0.052 (0.048) Loss 2.2905 (2.2994) Prec@1 49.609 (47.533) Prec@5 73.047 (72.741)
Epoch: [103][1250/5005] Time 0.224 (0.213) Data 0.042 (0.048) Loss 2.6078 (2.2998) Prec@1 40.625 (47.519) Prec@5 67.578 (72.730)
Epoch: [103][1260/5005] Time 0.194 (0.213) Data 0.048 (0.048) Loss 2.0857 (2.2990) Prec@1 50.000 (47.526) Prec@5 73.828 (72.742)
Epoch: [103][1270/5005] Time 0.208 (0.213) Data 0.058 (0.048) Loss 2.3924 (2.2996) Prec@1 48.438 (47.524) Prec@5 70.312 (72.730)
Epoch: [103][1280/5005] Time 0.209 (0.213) Data 0.048 (0.048) Loss 2.2609 (2.2999) Prec@1 44.531 (47.518) Prec@5 69.922 (72.730)
Epoch: [103][1290/5005] Time 0.216 (0.213) Data 0.045 (0.048) Loss 2.0127 (2.2994) Prec@1 57.031 (47.530) Prec@5 75.000 (72.731)
Epoch: [103][1300/5005] Time 0.198 (0.213) Data 0.058 (0.048) Loss 2.2474 (2.2997) Prec@1 48.438 (47.520) Prec@5 73.438 (72.727)
Epoch: [103][1310/5005] Time 0.196 (0.213) Data 0.054 (0.048) Loss 2.3488 (2.2993) Prec@1 46.875 (47.520) Prec@5 71.484 (72.730)
Epoch: [103][1320/5005] Time 0.207 (0.213) Data 0.057 (0.048) Loss 2.5003 (2.2993) Prec@1 44.922 (47.514) Prec@5 68.750 (72.734)
Epoch: [103][1330/5005] Time 0.210 (0.213) Data 0.042 (0.048) Loss 2.4263 (2.2999) Prec@1 44.922 (47.504) Prec@5 72.266 (72.727)
Epoch: [103][1340/5005] Time 0.204 (0.213) Data 0.057 (0.048) Loss 2.1600 (2.2996) Prec@1 49.609 (47.516) Prec@5 75.000 (72.734)
Epoch: [103][1350/5005] Time 0.217 (0.213) Data 0.044 (0.048) Loss 2.6469 (2.3000) Prec@1 42.969 (47.501) Prec@5 67.969 (72.731)
Epoch: [103][1360/5005] Time 0.212 (0.213) Data 0.043 (0.048) Loss 2.1871 (2.2997) Prec@1 49.219 (47.504) Prec@5 72.656 (72.734)
Epoch: [103][1370/5005] Time 0.209 (0.213) Data 0.048 (0.048) Loss 2.3154 (2.2994) Prec@1 45.312 (47.498) Prec@5 73.438 (72.741)
Epoch: [103][1380/5005] Time 0.201 (0.213) Data 0.046 (0.048) Loss 2.3200 (2.2993) Prec@1 47.266 (47.499) Prec@5 72.266 (72.747)
Epoch: [103][1390/5005] Time 0.210 (0.213) Data 0.043 (0.048) Loss 2.1757 (2.2994) Prec@1 48.438 (47.496) Prec@5 76.562 (72.739)
Epoch: [103][1400/5005] Time 0.211 (0.213) Data 0.042 (0.048) Loss 2.2659 (2.2985) Prec@1 50.781 (47.499) Prec@5 73.828 (72.758)
Epoch: [103][1410/5005] Time 0.215 (0.213) Data 0.045 (0.048) Loss 2.2770 (2.2984) Prec@1 51.562 (47.504) Prec@5 75.391 (72.761)
Epoch: [103][1420/5005] Time 0.214 (0.213) Data 0.044 (0.048) Loss 2.5069 (2.2984) Prec@1 44.922 (47.505) Prec@5 71.875 (72.761)
Epoch: [103][1430/5005] Time 0.210 (0.213) Data 0.042 (0.048) Loss 2.0883 (2.2980) Prec@1 52.734 (47.520) Prec@5 75.781 (72.769)
Epoch: [103][1440/5005] Time 0.210 (0.213) Data 0.043 (0.048) Loss 2.1186 (2.2980) Prec@1 50.000 (47.523) Prec@5 77.344 (72.771)
Epoch: [103][1450/5005] Time 0.203 (0.213) Data 0.043 (0.048) Loss 2.2893 (2.2978) Prec@1 47.266 (47.523) Prec@5 74.219 (72.769)
Epoch: [103][1460/5005] Time 0.213 (0.213) Data 0.043 (0.048) Loss 2.3894 (2.2976) Prec@1 44.531 (47.522) Prec@5 70.703 (72.769)
Epoch: [103][1470/5005] Time 0.209 (0.213) Data 0.047 (0.048) Loss 2.4829 (2.2981) Prec@1 44.922 (47.514) Prec@5 69.141 (72.764)
Epoch: [103][1480/5005] Time 0.193 (0.213) Data 0.050 (0.048) Loss 2.3060 (2.2984) Prec@1 44.531 (47.510) Prec@5 73.828 (72.760)
Epoch: [103][1490/5005] Time 0.206 (0.213) Data 0.051 (0.048) Loss 2.4720 (2.2981) Prec@1 45.312 (47.515) Prec@5 71.484 (72.771)
Epoch: [103][1500/5005] Time 0.217 (0.213) Data 0.046 (0.048) Loss 2.2914 (2.2980) Prec@1 47.266 (47.518) Prec@5 72.266 (72.774)
Epoch: [103][1510/5005] Time 0.194 (0.213) Data 0.057 (0.048) Loss 2.0540 (2.2979) Prec@1 49.219 (47.519) Prec@5 76.562 (72.775)
Epoch: [103][1520/5005] Time 0.212 (0.213) Data 0.045 (0.048) Loss 2.3294 (2.2977) Prec@1 46.094 (47.525) Prec@5 74.609 (72.784)
Epoch: [103][1530/5005] Time 0.193 (0.213) Data 0.046 (0.048) Loss 2.5659 (2.2980) Prec@1 42.578 (47.525) Prec@5 66.406 (72.779)
Epoch: [103][1540/5005] Time 0.199 (0.213) Data 0.045 (0.048) Loss 2.4547 (2.2983) Prec@1 45.703 (47.519) Prec@5 67.969 (72.774)
Epoch: [103][1550/5005] Time 0.202 (0.213) Data 0.047 (0.048) Loss 2.3043 (2.2982) Prec@1 47.266 (47.516) Prec@5 73.047 (72.774)
Epoch: [103][1560/5005] Time 0.214 (0.213) Data 0.047 (0.048) Loss 2.1471 (2.2983) Prec@1 50.000 (47.515) Prec@5 73.047 (72.766)
Epoch: [103][1570/5005] Time 0.210 (0.213) Data 0.048 (0.048) Loss 2.1506 (2.2980) Prec@1 50.391 (47.524) Prec@5 74.609 (72.766)
Epoch: [103][1580/5005] Time 0.204 (0.213) Data 0.044 (0.048) Loss 2.1346 (2.2983) Prec@1 50.391 (47.515) Prec@5 76.172 (72.759)
Epoch: [103][1590/5005] Time 0.213 (0.213) Data 0.048 (0.048) Loss 2.2761 (2.2982) Prec@1 46.094 (47.513) Prec@5 75.391 (72.765)
Epoch: [103][1600/5005] Time 0.194 (0.213) Data 0.064 (0.048) Loss 2.4255 (2.2981) Prec@1 45.312 (47.519) Prec@5 73.828 (72.770)
Epoch: [103][1610/5005] Time 0.208 (0.212) Data 0.043 (0.048) Loss 2.4430 (2.2983) Prec@1 43.750 (47.515) Prec@5 71.094 (72.768)
Epoch: [103][1620/5005] Time 0.196 (0.212) Data 0.055 (0.048) Loss 2.4274 (2.2981) Prec@1 45.703 (47.521) Prec@5 71.094 (72.769)
Epoch: [103][1630/5005] Time 0.212 (0.212) Data 0.048 (0.048) Loss 2.2432 (2.2981) Prec@1 48.828 (47.519) Prec@5 74.609 (72.765)
Epoch: [103][1640/5005] Time 0.218 (0.212) Data 0.041 (0.048) Loss 2.3866 (2.2986) Prec@1 49.219 (47.515) Prec@5 71.484 (72.763)
Epoch: [103][1650/5005] Time 0.203 (0.212) Data 0.050 (0.048) Loss 2.4090 (2.2985) Prec@1 44.141 (47.517) Prec@5 69.922 (72.764)
Epoch: [103][1660/5005] Time 0.203 (0.212) Data 0.046 (0.048) Loss 2.2155 (2.2980) Prec@1 51.562 (47.531) Prec@5 74.219 (72.769)
Epoch: [103][1670/5005] Time 0.199 (0.212) Data 0.045 (0.048) Loss 1.9508 (2.2980) Prec@1 55.469 (47.528) Prec@5 78.906 (72.776)
Epoch: [103][1680/5005] Time 0.194 (0.212) Data 0.055 (0.048) Loss 2.4611 (2.2982) Prec@1 45.703 (47.526) Prec@5 73.828 (72.772)
Epoch: [103][1690/5005] Time 0.210 (0.212) Data 0.048 (0.048) Loss 2.2119 (2.2979) Prec@1 49.609 (47.530) Prec@5 73.828 (72.773)
Epoch: [103][1700/5005] Time 0.212 (0.212) Data 0.054 (0.048) Loss 2.2451 (2.2975) Prec@1 44.531 (47.536) Prec@5 73.828 (72.784)
Epoch: [103][1710/5005] Time 0.214 (0.212) Data 0.043 (0.048) Loss 2.0852 (2.2969) Prec@1 53.516 (47.538) Prec@5 76.562 (72.795)
Epoch: [103][1720/5005] Time 0.208 (0.212) Data 0.051 (0.048) Loss 2.3574 (2.2970) Prec@1 45.703 (47.533) Prec@5 71.484 (72.795)
Epoch: [103][1730/5005] Time 0.209 (0.212) Data 0.050 (0.048) Loss 2.3706 (2.2970) Prec@1 42.969 (47.533) Prec@5 71.875 (72.799)
Epoch: [103][1740/5005] Time 0.212 (0.212) Data 0.057 (0.048) Loss 2.4441 (2.2967) Prec@1 42.969 (47.539) Prec@5 67.969 (72.803)
Epoch: [103][1750/5005] Time 0.202 (0.212) Data 0.061 (0.048) Loss 2.2109 (2.2965) Prec@1 48.828 (47.544) Prec@5 75.000 (72.806)
Epoch: [103][1760/5005] Time 0.209 (0.212) Data 0.058 (0.048) Loss 2.1061 (2.2964) Prec@1 53.125 (47.552) Prec@5 74.609 (72.807)
Epoch: [103][1770/5005] Time 0.205 (0.212) Data 0.056 (0.048) Loss 2.4692 (2.2963) Prec@1 42.969 (47.551) Prec@5 72.656 (72.813)
Epoch: [103][1780/5005] Time 0.206 (0.212) Data 0.040 (0.048) Loss 2.1548 (2.2961) Prec@1 48.438 (47.553) Prec@5 74.219 (72.815)
Epoch: [103][1790/5005] Time 0.218 (0.212) Data 0.048 (0.048) Loss 2.1045 (2.2958) Prec@1 51.172 (47.557) Prec@5 75.391 (72.823)
Epoch: [103][1800/5005] Time 0.200 (0.212) Data 0.044 (0.048) Loss 2.2565 (2.2956) Prec@1 48.047 (47.557) Prec@5 73.828 (72.825)
Epoch: [103][1810/5005] Time 0.200 (0.212) Data 0.047 (0.048) Loss 2.1491 (2.2955) Prec@1 51.172 (47.558) Prec@5 73.828 (72.826)
Epoch: [103][1820/5005] Time 0.213 (0.212) Data 0.044 (0.048) Loss 2.3143 (2.2956) Prec@1 45.703 (47.558) Prec@5 73.828 (72.820)
Epoch: [103][1830/5005] Time 0.211 (0.212) Data 0.042 (0.048) Loss 2.0298 (2.2951) Prec@1 51.562 (47.566) Prec@5 76.562 (72.825)
Epoch: [103][1840/5005] Time 0.213 (0.212) Data 0.049 (0.048) Loss 2.3300 (2.2948) Prec@1 44.531 (47.572) Prec@5 73.047 (72.833)
Epoch: [103][1850/5005] Time 0.204 (0.212) Data 0.042 (0.048) Loss 2.2808 (2.2945) Prec@1 50.781 (47.580) Prec@5 76.562 (72.838)
Epoch: [103][1860/5005] Time 0.213 (0.212) Data 0.043 (0.048) Loss 2.2437 (2.2945) Prec@1 47.656 (47.578) Prec@5 72.266 (72.839)
Epoch: [103][1870/5005] Time 0.211 (0.212) Data 0.043 (0.048) Loss 2.5728 (2.2949) Prec@1 44.531 (47.569) Prec@5 70.703 (72.833)
Epoch: [103][1880/5005] Time 0.210 (0.212) Data 0.050 (0.048) Loss 2.3603 (2.2949) Prec@1 47.266 (47.570) Prec@5 73.047 (72.834)
Epoch: [103][1890/5005] Time 0.201 (0.212) Data 0.049 (0.048) Loss 2.3787 (2.2949) Prec@1 44.531 (47.570) Prec@5 72.656 (72.832)
Epoch: [103][1900/5005] Time 0.204 (0.212) Data 0.049 (0.048) Loss 2.3671 (2.2955) Prec@1 46.875 (47.562) Prec@5 72.656 (72.823)
Epoch: [103][1910/5005] Time 0.218 (0.212) Data 0.046 (0.048) Loss 2.2383 (2.2956) Prec@1 48.438 (47.555) Prec@5 75.000 (72.824)
Epoch: [103][1920/5005] Time 0.212 (0.212) Data 0.044 (0.048) Loss 2.1541 (2.2953) Prec@1 49.609 (47.556) Prec@5 75.391 (72.830)
Epoch: [103][1930/5005] Time 0.207 (0.212) Data 0.041 (0.048) Loss 2.1875 (2.2951) Prec@1 46.875 (47.561) Prec@5 74.219 (72.836)
Epoch: [103][1940/5005] Time 0.205 (0.212) Data 0.046 (0.048) Loss 2.0473 (2.2947) Prec@1 47.266 (47.562) Prec@5 77.344 (72.849)
Epoch: [103][1950/5005] Time 0.208 (0.212) Data 0.047 (0.048) Loss 2.4325 (2.2945) Prec@1 44.141 (47.563) Prec@5 73.047 (72.855)
Epoch: [103][1960/5005] Time 0.204 (0.213) Data 0.041 (0.048) Loss 2.2213 (2.2943) Prec@1 48.828 (47.567) Prec@5 71.875 (72.859)
Epoch: [103][1970/5005] Time 0.197 (0.213) Data 0.047 (0.048) Loss 2.3458 (2.2944) Prec@1 41.406 (47.557) Prec@5 71.484 (72.855)
Epoch: [103][1980/5005] Time 0.198 (0.213) Data 0.044 (0.048) Loss 2.0366 (2.2945) Prec@1 50.781 (47.552) Prec@5 76.562 (72.853)
Epoch: [103][1990/5005] Time 0.217 (0.212) Data 0.045 (0.048) Loss 2.0861 (2.2942) Prec@1 46.875 (47.557) Prec@5 75.781 (72.855)
Epoch: [103][2000/5005] Time 0.209 (0.212) Data 0.046 (0.048) Loss 2.1093 (2.2944) Prec@1 49.609 (47.556) Prec@5 74.219 (72.852)
Epoch: [103][2010/5005] Time 0.214 (0.212) Data 0.046 (0.048) Loss 2.2606 (2.2946) Prec@1 49.219 (47.548) Prec@5 75.391 (72.848)
Epoch: [103][2020/5005] Time 0.199 (0.212) Data 0.045 (0.048) Loss 2.3448 (2.2946) Prec@1 46.875 (47.543) Prec@5 71.875 (72.848)
Epoch: [103][2030/5005] Time 0.213 (0.212) Data 0.047 (0.048) Loss 2.2627 (2.2948) Prec@1 47.656 (47.535) Prec@5 73.047 (72.844)
Epoch: [103][2040/5005] Time 0.207 (0.212) Data 0.058 (0.048) Loss 2.1323 (2.2948) Prec@1 51.953 (47.535) Prec@5 74.219 (72.846)
Epoch: [103][2050/5005] Time 0.195 (0.212) Data 0.052 (0.048) Loss 2.4590 (2.2945) Prec@1 47.266 (47.540) Prec@5 69.531 (72.853)
Epoch: [103][2060/5005] Time 0.200 (0.212) Data 0.059 (0.048) Loss 2.1809 (2.2945) Prec@1 47.266 (47.537) Prec@5 75.391 (72.854)
Epoch: [103][2070/5005] Time 0.210 (0.212) Data 0.044 (0.048) Loss 2.5840 (2.2949) Prec@1 45.703 (47.533) Prec@5 68.359 (72.843)
Epoch: [103][2080/5005] Time 0.207 (0.212) Data 0.042 (0.048) Loss 2.2928 (2.2947) Prec@1 47.266 (47.538) Prec@5 76.562 (72.845)
Epoch: [103][2090/5005] Time 0.213 (0.212) Data 0.046 (0.048) Loss 2.1776 (2.2943) Prec@1 51.562 (47.548) Prec@5 75.781 (72.852)
Epoch: [103][2100/5005] Time 0.210 (0.212) Data 0.051 (0.048) Loss 2.3910 (2.2941) Prec@1 48.047 (47.554) Prec@5 71.875 (72.856)
Epoch: [103][2110/5005] Time 0.204 (0.212) Data 0.049 (0.048) Loss 2.0105 (2.2940) Prec@1 56.250 (47.558) Prec@5 78.516 (72.856)
Epoch: [103][2120/5005] Time 0.205 (0.212) Data 0.052 (0.048) Loss 2.4330 (2.2940) Prec@1 45.703 (47.558) Prec@5 71.094 (72.857)
Epoch: [103][2130/5005] Time 0.204 (0.212) Data 0.051 (0.048) Loss 2.1880 (2.2936) Prec@1 51.953 (47.564) Prec@5 73.438 (72.864)
Epoch: [103][2140/5005] Time 0.205 (0.212) Data 0.041 (0.048) Loss 2.1748 (2.2936) Prec@1 50.000 (47.562) Prec@5 73.828 (72.859)
Epoch: [103][2150/5005] Time 0.205 (0.212) Data 0.050 (0.048) Loss 2.1014 (2.2935) Prec@1 52.344 (47.565) Prec@5 76.172 (72.861)
Epoch: [103][2160/5005] Time 0.207 (0.212) Data 0.046 (0.048) Loss 2.1641 (2.2935) Prec@1 51.953 (47.568) Prec@5 75.391 (72.863)
Epoch: [103][2170/5005] Time 0.209 (0.212) Data 0.042 (0.048) Loss 2.1396 (2.2931) Prec@1 50.391 (47.575) Prec@5 75.781 (72.869)
Epoch: [103][2180/5005] Time 0.208 (0.212) Data 0.057 (0.048) Loss 2.3824 (2.2932) Prec@1 48.828 (47.576) Prec@5 69.531 (72.868)
Epoch: [103][2190/5005] Time 0.211 (0.212) Data 0.043 (0.048) Loss 2.4744 (2.2931) Prec@1 43.750 (47.577) Prec@5 67.969 (72.871)
Epoch: [103][2200/5005] Time 0.202 (0.212) Data 0.056 (0.048) Loss 2.2580 (2.2932) Prec@1 47.266 (47.571) Prec@5 71.094 (72.866)
Epoch: [103][2210/5005] Time 0.202 (0.212) Data 0.055 (0.048) Loss 2.3985 (2.2934) Prec@1 44.531 (47.568) Prec@5 69.141 (72.862)
Epoch: [103][2220/5005] Time 0.211 (0.212) Data 0.043 (0.048) Loss 2.5033 (2.2932) Prec@1 46.875 (47.569) Prec@5 67.188 (72.863)
Epoch: [103][2230/5005] Time 0.206 (0.212) Data 0.044 (0.048) Loss 2.2806 (2.2932) Prec@1 50.781 (47.567) Prec@5 72.656 (72.862)
Epoch: [103][2240/5005] Time 0.209 (0.212) Data 0.042 (0.048) Loss 2.3319 (2.2933) Prec@1 50.391 (47.563) Prec@5 72.656 (72.859)
Epoch: [103][2250/5005] Time 0.204 (0.212) Data 0.048 (0.048) Loss 2.0811 (2.2933) Prec@1 47.656 (47.558) Prec@5 77.344 (72.861)
Epoch: [103][2260/5005] Time 0.204 (0.212) Data 0.042 (0.048) Loss 2.3447 (2.2929) Prec@1 42.969 (47.568) Prec@5 69.922 (72.867)
Epoch: [103][2270/5005] Time 0.212 (0.212) Data 0.041 (0.048) Loss 2.4383 (2.2928) Prec@1 48.438 (47.571) Prec@5 68.359 (72.869)
Epoch: [103][2280/5005] Time 0.209 (0.212) Data 0.042 (0.048) Loss 2.2418 (2.2928) Prec@1 51.562 (47.572) Prec@5 74.219 (72.867)
Epoch: [103][2290/5005] Time 0.215 (0.212) Data 0.042 (0.048) Loss 2.1892 (2.2927) Prec@1 47.656 (47.573) Prec@5 73.438 (72.870)
Epoch: [103][2300/5005] Time 0.208 (0.212) Data 0.048 (0.048) Loss 2.2070 (2.2926) Prec@1 50.781 (47.577) Prec@5 71.875 (72.868)
Epoch: [103][2310/5005] Time 0.205 (0.212) Data 0.042 (0.048) Loss 2.1401 (2.2927) Prec@1 51.953 (47.578) Prec@5 75.391 (72.862)
Epoch: [103][2320/5005] Time 0.205 (0.212) Data 0.061 (0.048) Loss 2.3522 (2.2927) Prec@1 46.094 (47.582) Prec@5 71.484 (72.861)
Epoch: [103][2330/5005] Time 0.201 (0.212) Data 0.047 (0.048) Loss 2.2040 (2.2925) Prec@1 50.781 (47.583) Prec@5 73.047 (72.860)
Epoch: [103][2340/5005] Time 0.205 (0.212) Data 0.041 (0.048) Loss 2.2223 (2.2921) Prec@1 49.219 (47.593) Prec@5 75.391 (72.869)
Epoch: [103][2350/5005] Time 0.212 (0.212) Data 0.044 (0.048) Loss 2.1623 (2.2920) Prec@1 49.219 (47.596) Prec@5 74.219 (72.875)
Epoch: [103][2360/5005] Time 0.212 (0.212) Data 0.043 (0.048) Loss 2.2409 (2.2921) Prec@1 44.922 (47.589) Prec@5 75.781 (72.874)
Epoch: [103][2370/5005] Time 0.208 (0.212) Data 0.051 (0.048) Loss 2.3563 (2.2922) Prec@1 48.047 (47.587) Prec@5 73.047 (72.871)
Epoch: [103][2380/5005] Time 0.204 (0.212) Data 0.051 (0.048) Loss 2.2144 (2.2919) Prec@1 46.875 (47.594) Prec@5 75.000 (72.880)
Epoch: [103][2390/5005] Time 0.205 (0.212) Data 0.062 (0.048) Loss 2.4125 (2.2919) Prec@1 45.312 (47.597) Prec@5 70.312 (72.878)
Epoch: [103][2400/5005] Time 0.212 (0.212) Data 0.044 (0.048) Loss 2.2845 (2.2919) Prec@1 45.703 (47.595) Prec@5 72.656 (72.874)
Epoch: [103][2410/5005] Time 0.200 (0.212) Data 0.050 (0.048) Loss 2.5021 (2.2919) Prec@1 43.359 (47.593) Prec@5 68.750 (72.870)
Epoch: [103][2420/5005] Time 0.207 (0.212) Data 0.043 (0.048) Loss 2.3721 (2.2917) Prec@1 46.875 (47.598) Prec@5 70.703 (72.876)
Epoch: [103][2430/5005] Time 0.198 (0.212) Data 0.048 (0.048) Loss 2.0993 (2.2918) Prec@1 50.391 (47.594) Prec@5 75.000 (72.875)
Epoch: [103][2440/5005] Time 0.210 (0.212) Data 0.038 (0.048) Loss 1.9982 (2.2915) Prec@1 54.688 (47.600) Prec@5 78.125 (72.879)
Epoch: [103][2450/5005] Time 0.203 (0.212) Data 0.045 (0.048) Loss 2.1509 (2.2913) Prec@1 51.562 (47.603) Prec@5 74.609 (72.881)
Epoch: [103][2460/5005] Time 0.208 (0.212) Data 0.044 (0.048) Loss 2.2557 (2.2910) Prec@1 46.875 (47.602) Prec@5 72.656 (72.885)
Epoch: [103][2470/5005] Time 0.204 (0.212) Data 0.044 (0.048) Loss 2.1525 (2.2907) Prec@1 49.219 (47.605) Prec@5 74.609 (72.891)
Epoch: [103][2480/5005] Time 0.204 (0.212) Data 0.046 (0.048) Loss 2.3629 (2.2909) Prec@1 44.922 (47.596) Prec@5 73.047 (72.886)
Epoch: [103][2490/5005] Time 0.211 (0.212) Data 0.044 (0.048) Loss 2.0525 (2.2908) Prec@1 53.906 (47.596) Prec@5 78.516 (72.886)
Epoch: [103][2500/5005] Time 0.206 (0.212) Data 0.041 (0.048) Loss 2.2377 (2.2905) Prec@1 53.125 (47.600) Prec@5 71.484 (72.889)
Epoch: [103][2510/5005] Time 0.217 (0.212) Data 0.049 (0.048) Loss 2.4118 (2.2907) Prec@1 42.188 (47.593) Prec@5 73.828 (72.889)
Epoch: [103][2520/5005] Time 0.211 (0.212) Data 0.044 (0.048) Loss 2.3115 (2.2906) Prec@1 48.438 (47.594) Prec@5 71.484 (72.885)
Epoch: [103][2530/5005] Time 0.215 (0.212) Data 0.041 (0.048) Loss 2.4429 (2.2907) Prec@1 43.359 (47.589) Prec@5 70.312 (72.885)
Epoch: [103][2540/5005] Time 0.208 (0.212) Data 0.042 (0.048) Loss 2.2670 (2.2907) Prec@1 48.828 (47.590) Prec@5 74.609 (72.885)
Epoch: [103][2550/5005] Time 0.212 (0.212) Data 0.041 (0.048) Loss 2.2574 (2.2907) Prec@1 48.828 (47.593) Prec@5 73.438 (72.886)
Epoch: [103][2560/5005] Time 0.199 (0.212) Data 0.048 (0.048) Loss 2.5283 (2.2908) Prec@1 43.359 (47.593) Prec@5 68.750 (72.885)
Epoch: [103][2570/5005] Time 0.199 (0.212) Data 0.045 (0.048) Loss 2.2756 (2.2909) Prec@1 42.969 (47.590) Prec@5 74.609 (72.879)
Epoch: [103][2580/5005] Time 0.201 (0.212) Data 0.046 (0.048) Loss 2.3298 (2.2912) Prec@1 46.094 (47.583) Prec@5 72.266 (72.873)
Epoch: [103][2590/5005] Time 0.201 (0.211) Data 0.048 (0.048) Loss 2.3556 (2.2912) Prec@1 44.531 (47.587) Prec@5 72.266 (72.874)
Epoch: [103][2600/5005] Time 0.214 (0.211) Data 0.043 (0.048) Loss 2.3058 (2.2915) Prec@1 46.875 (47.580) Prec@5 75.000 (72.869)
Epoch: [103][2610/5005] Time 0.213 (0.211) Data 0.043 (0.048) Loss 2.4614 (2.2913) Prec@1 42.578 (47.584) Prec@5 67.188 (72.869)
Epoch: [103][2620/5005] Time 0.209 (0.211) Data 0.044 (0.048) Loss 2.3619 (2.2913) Prec@1 44.531 (47.582) Prec@5 70.703 (72.870)
Epoch: [103][2630/5005] Time 0.212 (0.211) Data 0.044 (0.048) Loss 2.5931 (2.2916) Prec@1 42.188 (47.577) Prec@5 66.016 (72.865)
Epoch: [103][2640/5005] Time 0.208 (0.211) Data 0.046 (0.048) Loss 2.5076 (2.2916) Prec@1 42.969 (47.575) Prec@5 69.141 (72.863)
Epoch: [103][2650/5005] Time 0.211 (0.211) Data 0.047 (0.048) Loss 2.5299 (2.2916) Prec@1 41.797 (47.574) Prec@5 71.484 (72.863)
Epoch: [103][2660/5005] Time 0.212 (0.211) Data 0.044 (0.048) Loss 2.3792 (2.2917) Prec@1 43.359 (47.573) Prec@5 73.047 (72.859)
Epoch: [103][2670/5005] Time 0.211 (0.211) Data 0.043 (0.048) Loss 1.9974 (2.2915) Prec@1 52.344 (47.582) Prec@5 78.125 (72.859)
Epoch: [103][2680/5005] Time 0.210 (0.211) Data 0.042 (0.048) Loss 2.1030 (2.2914) Prec@1 49.609 (47.584) Prec@5 75.000 (72.858)
Epoch: [103][2690/5005] Time 0.200 (0.211) Data 0.064 (0.048) Loss 2.0986 (2.2913) Prec@1 57.812 (47.585) Prec@5 75.781 (72.856)
Epoch: [103][2700/5005] Time 0.207 (0.211) Data 0.052 (0.048) Loss 2.3203 (2.2913) Prec@1 48.047 (47.584) Prec@5 69.922 (72.855)
Epoch: [103][2710/5005] Time 0.214 (0.211) Data 0.042 (0.048) Loss 2.1468 (2.2914) Prec@1 46.094 (47.578) Prec@5 75.391 (72.854)
Epoch: [103][2720/5005] Time 0.211 (0.211) Data 0.042 (0.048) Loss 2.2173 (2.2912) Prec@1 49.609 (47.581) Prec@5 75.000 (72.857)
Epoch: [103][2730/5005] Time 0.211 (0.211) Data 0.052 (0.048) Loss 2.3969 (2.2911) Prec@1 48.828 (47.585) Prec@5 70.703 (72.862)
Epoch: [103][2740/5005] Time 0.210 (0.211) Data 0.052 (0.048) Loss 2.1289 (2.2910) Prec@1 51.562 (47.586) Prec@5 76.172 (72.864)
Epoch: [103][2750/5005] Time 0.204 (0.211) Data 0.060 (0.048) Loss 2.3272 (2.2908) Prec@1 46.094 (47.589) Prec@5 73.047 (72.868)
Epoch: [103][2760/5005] Time 0.211 (0.211) Data 0.058 (0.048) Loss 2.2431 (2.2909) Prec@1 48.047 (47.586) Prec@5 72.656 (72.871)
Epoch: [103][2770/5005] Time 0.212 (0.211) Data 0.056 (0.048) Loss 2.1963 (2.2910) Prec@1 47.656 (47.586) Prec@5 75.781 (72.870)
Epoch: [103][2780/5005] Time 0.204 (0.211) Data 0.057 (0.048) Loss 2.4770 (2.2911) Prec@1 44.922 (47.587) Prec@5 72.656 (72.870)
Epoch: [103][2790/5005] Time 0.211 (0.211) Data 0.042 (0.048) Loss 2.5717 (2.2913) Prec@1 40.625 (47.585) Prec@5 68.359 (72.867)
Epoch: [103][2800/5005] Time 0.200 (0.211) Data 0.043 (0.048) Loss 2.0785 (2.2911) Prec@1 51.562 (47.591) Prec@5 76.562 (72.871)
Epoch: [103][2810/5005] Time 0.206 (0.211) Data 0.049 (0.048) Loss 2.5092 (2.2912) Prec@1 45.312 (47.590) Prec@5 71.484 (72.872)
Epoch: [103][2820/5005] Time 0.199 (0.211) Data 0.045 (0.048) Loss 2.0357 (2.2911) Prec@1 53.516 (47.588) Prec@5 77.344 (72.871)
Epoch: [103][2830/5005] Time 0.200 (0.211) Data 0.049 (0.048) Loss 2.5100 (2.2911) Prec@1 46.094 (47.589) Prec@5 68.750 (72.872)
Epoch: [103][2840/5005] Time 0.203 (0.211) Data 0.042 (0.048) Loss 2.3106 (2.2911) Prec@1 46.094 (47.587) Prec@5 72.266 (72.870)
Epoch: [103][2850/5005] Time 0.222 (0.211) Data 0.043 (0.048) Loss 2.2752 (2.2910) Prec@1 50.391 (47.590) Prec@5 70.703 (72.869)
Epoch: [103][2860/5005] Time 0.200 (0.211) Data 0.049 (0.048) Loss 2.1732 (2.2911) Prec@1 51.953 (47.590) Prec@5 72.266 (72.868)
Epoch: [103][2870/5005] Time 0.200 (0.211) Data 0.045 (0.048) Loss 2.1838 (2.2908) Prec@1 49.219 (47.601) Prec@5 71.875 (72.874)
Epoch: [103][2880/5005] Time 0.203 (0.211) Data 0.046 (0.048) Loss 2.2845 (2.2906) Prec@1 44.922 (47.603) Prec@5 73.828 (72.875)
Epoch: [103][2890/5005] Time 0.209 (0.211) Data 0.057 (0.048) Loss 2.2907 (2.2904) Prec@1 42.578 (47.604) Prec@5 73.047 (72.876)
Epoch: [103][2900/5005] Time 0.204 (0.211) Data 0.056 (0.048) Loss 2.0283 (2.2903) Prec@1 53.125 (47.609) Prec@5 77.734 (72.882)
Epoch: [103][2910/5005] Time 0.205 (0.211) Data 0.046 (0.048) Loss 2.1923 (2.2903) Prec@1 48.047 (47.607) Prec@5 74.219 (72.882)
Epoch: [103][2920/5005] Time 0.208 (0.211) Data 0.042 (0.048) Loss 2.4001 (2.2904) Prec@1 46.094 (47.609) Prec@5 69.141 (72.881)
Epoch: [103][2930/5005] Time 0.203 (0.211) Data 0.057 (0.048) Loss 2.4416 (2.2904) Prec@1 43.359 (47.605) Prec@5 71.094 (72.884)
Epoch: [103][2940/5005] Time 0.208 (0.211) Data 0.050 (0.048) Loss 2.3512 (2.2902) Prec@1 46.094 (47.607) Prec@5 71.875 (72.889)
Epoch: [103][2950/5005] Time 0.202 (0.211) Data 0.044 (0.048) Loss 2.3586 (2.2899) Prec@1 46.875 (47.610) Prec@5 74.219 (72.892)
Epoch: [103][2960/5005] Time 0.209 (0.211) Data 0.048 (0.048) Loss 2.2879 (2.2898) Prec@1 49.219 (47.617) Prec@5 71.484 (72.893)
Epoch: [103][2970/5005] Time 0.197 (0.211) Data 0.048 (0.048) Loss 2.3939 (2.2897) Prec@1 44.922 (47.618) Prec@5 71.875 (72.893)
Epoch: [103][2980/5005] Time 0.208 (0.211) Data 0.048 (0.048) Loss 2.4922 (2.2897) Prec@1 46.094 (47.619) Prec@5 69.531 (72.892)
Epoch: [103][2990/5005] Time 0.211 (0.211) Data 0.043 (0.048) Loss 2.2122 (2.2898) Prec@1 52.344 (47.621) Prec@5 73.438 (72.892)
Epoch: [103][3000/5005] Time 0.213 (0.211) Data 0.043 (0.048) Loss 2.2745 (2.2895) Prec@1 44.922 (47.624) Prec@5 74.609 (72.897)
Epoch: [103][3010/5005] Time 0.208 (0.211) Data 0.047 (0.048) Loss 2.1114 (2.2895) Prec@1 49.219 (47.626) Prec@5 76.953 (72.897)
Epoch: [103][3020/5005] Time 0.199 (0.211) Data 0.049 (0.048) Loss 2.1943 (2.2896) Prec@1 44.922 (47.625) Prec@5 73.047 (72.893)
Epoch: [103][3030/5005] Time 0.213 (0.211) Data 0.044 (0.048) Loss 2.2211 (2.2896) Prec@1 52.344 (47.624) Prec@5 76.562 (72.896)
Epoch: [103][3040/5005] Time 0.208 (0.211) Data 0.042 (0.048) Loss 2.1865 (2.2895) Prec@1 50.000 (47.629) Prec@5 74.219 (72.896)
Epoch: [103][3050/5005] Time 0.212 (0.211) Data 0.043 (0.048) Loss 2.3137 (2.2895) Prec@1 45.312 (47.628) Prec@5 73.047 (72.899)
Epoch: [103][3060/5005] Time 0.213 (0.211) Data 0.044 (0.048) Loss 2.1284 (2.2894) Prec@1 48.828 (47.626) Prec@5 76.172 (72.903)
Epoch: [103][3070/5005] Time 0.202 (0.211) Data 0.047 (0.048) Loss 2.1754 (2.2894) Prec@1 50.781 (47.628) Prec@5 73.828 (72.902)
Epoch: [103][3080/5005] Time 0.199 (0.211) Data 0.043 (0.048) Loss 2.0882 (2.2893) Prec@1 45.703 (47.621) Prec@5 74.219 (72.906)
Epoch: [103][3090/5005] Time 0.209 (0.211) Data 0.043 (0.048) Loss 2.5498 (2.2894) Prec@1 41.016 (47.618) Prec@5 68.750 (72.905)
Epoch: [103][3100/5005] Time 0.214 (0.211) Data 0.043 (0.048) Loss 2.3907 (2.2896) Prec@1 48.047 (47.614) Prec@5 70.312 (72.900)
Epoch: [103][3110/5005] Time 0.207 (0.211) Data 0.049 (0.048) Loss 2.0545 (2.2893) Prec@1 51.562 (47.620) Prec@5 77.344 (72.905)
Epoch: [103][3120/5005] Time 0.209 (0.211) Data 0.042 (0.048) Loss 2.4540 (2.2892) Prec@1 42.578 (47.619) Prec@5 70.312 (72.906)
Epoch: [103][3130/5005] Time 0.212 (0.211) Data 0.042 (0.048) Loss 2.3383 (2.2890) Prec@1 47.656 (47.626) Prec@5 72.266 (72.912)
Epoch: [103][3140/5005] Time 0.206 (0.211) Data 0.058 (0.048) Loss 2.0941 (2.2887) Prec@1 51.172 (47.634) Prec@5 76.953 (72.915)
Epoch: [103][3150/5005] Time 0.207 (0.211) Data 0.044 (0.048) Loss 2.2861 (2.2885) Prec@1 50.000 (47.638) Prec@5 73.047 (72.918)
Epoch: [103][3160/5005] Time 0.208 (0.211) Data 0.049 (0.048) Loss 1.9795 (2.2885) Prec@1 54.688 (47.641) Prec@5 79.297 (72.918)
Epoch: [103][3170/5005] Time 0.209 (0.211) Data 0.045 (0.048) Loss 2.3205 (2.2885) Prec@1 44.922 (47.638) Prec@5 69.922 (72.919)
Epoch: [103][3180/5005] Time 0.212 (0.211) Data 0.042 (0.048) Loss 2.0962 (2.2885) Prec@1 52.734 (47.637) Prec@5 74.609 (72.917)
Epoch: [103][3190/5005] Time 0.212 (0.211) Data 0.048 (0.048) Loss 2.3019 (2.2886) Prec@1 48.438 (47.637) Prec@5 73.828 (72.919)
Epoch: [103][3200/5005] Time 0.220 (0.211) Data 0.047 (0.048) Loss 2.3407 (2.2886) Prec@1 44.141 (47.636) Prec@5 71.094 (72.918)
Epoch: [103][3210/5005] Time 0.212 (0.211) Data 0.045 (0.048) Loss 2.3460 (2.2885) Prec@1 47.266 (47.640) Prec@5 71.094 (72.918)
Epoch: [103][3220/5005] Time 0.203 (0.211) Data 0.046 (0.048) Loss 2.4053 (2.2885) Prec@1 43.750 (47.641) Prec@5 70.312 (72.917)
Epoch: [103][3230/5005] Time 0.195 (0.211) Data 0.066 (0.048) Loss 2.1669 (2.2882) Prec@1 53.516 (47.647) Prec@5 74.219 (72.924)
Epoch: [103][3240/5005] Time 0.215 (0.211) Data 0.043 (0.048) Loss 2.5174 (2.2885) Prec@1 40.234 (47.640) Prec@5 69.531 (72.918)
Epoch: [103][3250/5005] Time 0.220 (0.211) Data 0.051 (0.048) Loss 2.2912 (2.2885) Prec@1 46.875 (47.636) Prec@5 74.609 (72.917)
Epoch: [103][3260/5005] Time 0.197 (0.211) Data 0.061 (0.048) Loss 2.1634 (2.2886) Prec@1 49.219 (47.634) Prec@5 73.438 (72.918)
Epoch: [103][3270/5005] Time 0.213 (0.211) Data 0.050 (0.048) Loss 2.3829 (2.2884) Prec@1 47.266 (47.635) Prec@5 71.875 (72.920)
Epoch: [103][3280/5005] Time 0.209 (0.211) Data 0.056 (0.048) Loss 2.2431 (2.2884) Prec@1 48.828 (47.634) Prec@5 72.656 (72.921)
Epoch: [103][3290/5005] Time 0.198 (0.211) Data 0.045 (0.048) Loss 2.3818 (2.2883) Prec@1 46.094 (47.635) Prec@5 70.312 (72.922)
Epoch: [103][3300/5005] Time 0.210 (0.211) Data 0.045 (0.048) Loss 2.1956 (2.2883) Prec@1 47.656 (47.634) Prec@5 73.438 (72.919)
Epoch: [103][3310/5005] Time 0.202 (0.211) Data 0.040 (0.048) Loss 2.3367 (2.2883) Prec@1 44.922 (47.634) Prec@5 72.266 (72.919)
Epoch: [103][3320/5005] Time 0.205 (0.211) Data 0.041 (0.048) Loss 2.2895 (2.2884) Prec@1 47.266 (47.633) Prec@5 71.094 (72.916)
Epoch: [103][3330/5005] Time 0.207 (0.211) Data 0.046 (0.048) Loss 2.4096 (2.2885) Prec@1 46.094 (47.631) Prec@5 70.312 (72.914)
Epoch: [103][3340/5005] Time 0.202 (0.211) Data 0.047 (0.048) Loss 2.4218 (2.2886) Prec@1 42.969 (47.630) Prec@5 73.828 (72.913)
Epoch: [103][3350/5005] Time 0.207 (0.211) Data 0.051 (0.048) Loss 2.3035 (2.2884) Prec@1 46.484 (47.631) Prec@5 74.219 (72.916)
Epoch: [103][3360/5005] Time 0.201 (0.211) Data 0.054 (0.048) Loss 2.0896 (2.2885) Prec@1 49.219 (47.630) Prec@5 75.391 (72.915)
Epoch: [103][3370/5005] Time 0.198 (0.211) Data 0.055 (0.048) Loss 2.3684 (2.2887) Prec@1 45.703 (47.626) Prec@5 70.703 (72.911)
Epoch: [103][3380/5005] Time 0.204 (0.211) Data 0.058 (0.048) Loss 2.3047 (2.2886) Prec@1 47.656 (47.626) Prec@5 74.219 (72.914)
Epoch: [103][3390/5005] Time 0.211 (0.211) Data 0.043 (0.048) Loss 2.1644 (2.2888) Prec@1 49.219 (47.622) Prec@5 75.000 (72.910)
Epoch: [103][3400/5005] Time 0.202 (0.210) Data 0.057 (0.048) Loss 2.3195 (2.2889) Prec@1 46.875 (47.618) Prec@5 73.438 (72.906)
Epoch: [103][3410/5005] Time 0.204 (0.210) Data 0.046 (0.048) Loss 2.1290 (2.2887) Prec@1 47.266 (47.622) Prec@5 73.828 (72.909)
Epoch: [103][3420/5005] Time 0.210 (0.210) Data 0.042 (0.048) Loss 2.2185 (2.2886) Prec@1 49.609 (47.622) Prec@5 74.219 (72.912)
Epoch: [103][3430/5005] Time 0.206 (0.210) Data 0.041 (0.048) Loss 2.2384 (2.2885) Prec@1 47.266 (47.624) Prec@5 76.562 (72.917)
Epoch: [103][3440/5005] Time 0.205 (0.210) Data 0.052 (0.048) Loss 2.3240 (2.2883) Prec@1 44.922 (47.625) Prec@5 72.266 (72.919)
Epoch: [103][3450/5005] Time 0.209 (0.210) Data 0.047 (0.048) Loss 2.1527 (2.2882) Prec@1 50.391 (47.626) Prec@5 74.609 (72.921)
Epoch: [103][3460/5005] Time 0.215 (0.210) Data 0.044 (0.048) Loss 2.2561 (2.2883) Prec@1 50.781 (47.629) Prec@5 72.656 (72.921)
Epoch: [103][3470/5005] Time 0.209 (0.210) Data 0.042 (0.048) Loss 2.1566 (2.2880) Prec@1 48.828 (47.632) Prec@5 73.828 (72.923)
Epoch: [103][3480/5005] Time 0.216 (0.210) Data 0.046 (0.048) Loss 2.2248 (2.2879) Prec@1 50.000 (47.635) Prec@5 73.828 (72.924)
Epoch: [103][3490/5005] Time 0.204 (0.210) Data 0.049 (0.048) Loss 2.3897 (2.2879) Prec@1 44.141 (47.635) Prec@5 75.391 (72.924)
Epoch: [103][3500/5005] Time 0.199 (0.210) Data 0.047 (0.048) Loss 2.1690 (2.2880) Prec@1 50.000 (47.630) Prec@5 76.172 (72.925)
Epoch: [103][3510/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.2141 (2.2879) Prec@1 51.172 (47.634) Prec@5 75.000 (72.927)
Epoch: [103][3520/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.4107 (2.2880) Prec@1 49.219 (47.635) Prec@5 69.531 (72.926)
Epoch: [103][3530/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.1261 (2.2877) Prec@1 50.391 (47.641) Prec@5 77.734 (72.932)
Epoch: [103][3540/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.1419 (2.2875) Prec@1 51.172 (47.642) Prec@5 77.734 (72.933)
Epoch: [103][3550/5005] Time 0.206 (0.210) Data 0.041 (0.048) Loss 2.2552 (2.2874) Prec@1 46.484 (47.644) Prec@5 72.266 (72.935)
Epoch: [103][3560/5005] Time 0.205 (0.210) Data 0.047 (0.048) Loss 2.3924 (2.2873) Prec@1 42.969 (47.644) Prec@5 67.969 (72.934)
Epoch: [103][3570/5005] Time 0.206 (0.210) Data 0.048 (0.048) Loss 2.4086 (2.2873) Prec@1 46.875 (47.645) Prec@5 70.703 (72.934)
Epoch: [103][3580/5005] Time 0.208 (0.210) Data 0.041 (0.048) Loss 2.2370 (2.2873) Prec@1 50.000 (47.643) Prec@5 74.219 (72.933)
Epoch: [103][3590/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.3143 (2.2871) Prec@1 46.875 (47.648) Prec@5 71.094 (72.937)
Epoch: [103][3600/5005] Time 0.217 (0.210) Data 0.043 (0.048) Loss 2.3658 (2.2870) Prec@1 45.703 (47.648) Prec@5 70.703 (72.935)
Epoch: [103][3610/5005] Time 0.214 (0.210) Data 0.053 (0.048) Loss 2.1688 (2.2870) Prec@1 49.609 (47.646) Prec@5 73.828 (72.935)
Epoch: [103][3620/5005] Time 0.213 (0.210) Data 0.062 (0.048) Loss 2.3442 (2.2868) Prec@1 46.875 (47.654) Prec@5 70.312 (72.939)
Epoch: [103][3630/5005] Time 0.191 (0.210) Data 0.061 (0.048) Loss 2.5611 (2.2867) Prec@1 44.531 (47.658) Prec@5 72.266 (72.943)
Epoch: [103][3640/5005] Time 0.206 (0.210) Data 0.060 (0.048) Loss 2.3215 (2.2866) Prec@1 42.578 (47.661) Prec@5 73.047 (72.943)
Epoch: [103][3650/5005] Time 0.210 (0.210) Data 0.059 (0.048) Loss 2.1718 (2.2865) Prec@1 51.562 (47.662) Prec@5 74.609 (72.943)
Epoch: [103][3660/5005] Time 0.209 (0.210) Data 0.044 (0.048) Loss 2.3320 (2.2863) Prec@1 44.922 (47.666) Prec@5 70.703 (72.946)
Epoch: [103][3670/5005] Time 0.218 (0.210) Data 0.047 (0.048) Loss 2.4076 (2.2863) Prec@1 45.312 (47.667) Prec@5 73.047 (72.948)
Epoch: [103][3680/5005] Time 0.211 (0.210) Data 0.049 (0.048) Loss 2.2173 (2.2864) Prec@1 48.438 (47.665) Prec@5 75.000 (72.949)
Epoch: [103][3690/5005] Time 0.209 (0.210) Data 0.055 (0.048) Loss 2.0959 (2.2864) Prec@1 48.047 (47.664) Prec@5 75.391 (72.949)
Epoch: [103][3700/5005] Time 0.202 (0.210) Data 0.052 (0.048) Loss 2.3786 (2.2864) Prec@1 48.438 (47.664) Prec@5 73.828 (72.948)
Epoch: [103][3710/5005] Time 0.214 (0.210) Data 0.042 (0.048) Loss 2.1394 (2.2864) Prec@1 50.391 (47.660) Prec@5 76.953 (72.949)
Epoch: [103][3720/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.4529 (2.2864) Prec@1 44.531 (47.660) Prec@5 69.141 (72.952)
Epoch: [103][3730/5005] Time 0.211 (0.210) Data 0.042 (0.048) Loss 2.1926 (2.2863) Prec@1 53.125 (47.663) Prec@5 75.781 (72.953)
Epoch: [103][3740/5005] Time 0.212 (0.210) Data 0.040 (0.048) Loss 2.2461 (2.2860) Prec@1 48.438 (47.668) Prec@5 74.609 (72.956)
Epoch: [103][3750/5005] Time 0.212 (0.210) Data 0.045 (0.048) Loss 2.1768 (2.2861) Prec@1 48.828 (47.666) Prec@5 76.953 (72.952)
Epoch: [103][3760/5005] Time 0.202 (0.210) Data 0.050 (0.048) Loss 2.3130 (2.2862) Prec@1 46.484 (47.665) Prec@5 71.875 (72.951)
Epoch: [103][3770/5005] Time 0.214 (0.210) Data 0.042 (0.048) Loss 2.3167 (2.2862) Prec@1 45.312 (47.664) Prec@5 71.484 (72.952)
Epoch: [103][3780/5005] Time 0.214 (0.210) Data 0.042 (0.048) Loss 2.2548 (2.2860) Prec@1 48.828 (47.665) Prec@5 73.438 (72.954)
Epoch: [103][3790/5005] Time 0.204 (0.210) Data 0.046 (0.048) Loss 2.4178 (2.2861) Prec@1 46.094 (47.662) Prec@5 67.969 (72.951)
Epoch: [103][3800/5005] Time 0.209 (0.210) Data 0.044 (0.048) Loss 2.3512 (2.2863) Prec@1 46.094 (47.660) Prec@5 71.094 (72.946)
Epoch: [103][3810/5005] Time 0.208 (0.210) Data 0.043 (0.048) Loss 2.1993 (2.2864) Prec@1 48.438 (47.657) Prec@5 74.219 (72.945)
Epoch: [103][3820/5005] Time 0.202 (0.210) Data 0.043 (0.048) Loss 2.2345 (2.2863) Prec@1 47.656 (47.660) Prec@5 72.656 (72.949)
Epoch: [103][3830/5005] Time 0.211 (0.210) Data 0.042 (0.048) Loss 2.3319 (2.2860) Prec@1 47.266 (47.664) Prec@5 71.094 (72.953)
Epoch: [103][3840/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.6806 (2.2862) Prec@1 40.234 (47.665) Prec@5 67.188 (72.949)
Epoch: [103][3850/5005] Time 0.208 (0.210) Data 0.042 (0.048) Loss 2.2011 (2.2860) Prec@1 51.953 (47.666) Prec@5 73.828 (72.954)
Epoch: [103][3860/5005] Time 0.200 (0.210) Data 0.051 (0.048) Loss 2.1565 (2.2860) Prec@1 53.125 (47.670) Prec@5 74.219 (72.952)
Epoch: [103][3870/5005] Time 0.216 (0.210) Data 0.048 (0.048) Loss 2.1691 (2.2861) Prec@1 42.578 (47.665) Prec@5 76.562 (72.952)
Epoch: [103][3880/5005] Time 0.202 (0.210) Data 0.048 (0.048) Loss 2.1063 (2.2860) Prec@1 54.688 (47.665) Prec@5 75.391 (72.953)
Epoch: [103][3890/5005] Time 0.199 (0.210) Data 0.055 (0.048) Loss 2.6437 (2.2861) Prec@1 42.188 (47.666) Prec@5 64.844 (72.950)
Epoch: [103][3900/5005] Time 0.205 (0.210) Data 0.049 (0.048) Loss 2.4107 (2.2862) Prec@1 47.266 (47.666) Prec@5 71.484 (72.951)
Epoch: [103][3910/5005] Time 0.209 (0.210) Data 0.048 (0.048) Loss 2.3237 (2.2862) Prec@1 42.969 (47.665) Prec@5 73.047 (72.952)
Epoch: [103][3920/5005] Time 0.209 (0.210) Data 0.046 (0.048) Loss 2.2665 (2.2862) Prec@1 46.875 (47.667) Prec@5 73.047 (72.952)
Epoch: [103][3930/5005] Time 0.202 (0.210) Data 0.044 (0.048) Loss 2.2071 (2.2860) Prec@1 47.266 (47.670) Prec@5 74.609 (72.955)
Epoch: [103][3940/5005] Time 0.208 (0.210) Data 0.046 (0.048) Loss 2.2819 (2.2860) Prec@1 45.312 (47.670) Prec@5 72.656 (72.953)
Epoch: [103][3950/5005] Time 0.209 (0.210) Data 0.046 (0.048) Loss 2.1877 (2.2858) Prec@1 53.516 (47.675) Prec@5 76.562 (72.956)
Epoch: [103][3960/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.1790 (2.2859) Prec@1 50.781 (47.671) Prec@5 75.000 (72.954)
Epoch: [103][3970/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.2291 (2.2858) Prec@1 50.781 (47.674) Prec@5 74.609 (72.956)
Epoch: [103][3980/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.2603 (2.2858) Prec@1 48.047 (47.671) Prec@5 74.609 (72.956)
Epoch: [103][3990/5005] Time 0.213 (0.210) Data 0.044 (0.048) Loss 2.4314 (2.2859) Prec@1 42.578 (47.668) Prec@5 69.531 (72.955)
Epoch: [103][4000/5005] Time 0.200 (0.210) Data 0.043 (0.048) Loss 2.2705 (2.2860) Prec@1 46.094 (47.664) Prec@5 71.094 (72.955)
Epoch: [103][4010/5005] Time 0.214 (0.210) Data 0.043 (0.048) Loss 2.2700 (2.2858) Prec@1 49.219 (47.668) Prec@5 70.703 (72.958)
Epoch: [103][4020/5005] Time 0.214 (0.210) Data 0.043 (0.048) Loss 2.5005 (2.2858) Prec@1 43.750 (47.666) Prec@5 70.312 (72.958)
Epoch: [103][4030/5005] Time 0.210 (0.210) Data 0.044 (0.048) Loss 2.4802 (2.2860) Prec@1 48.047 (47.662) Prec@5 68.750 (72.953)
Epoch: [103][4040/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.3141 (2.2861) Prec@1 49.609 (47.660) Prec@5 68.359 (72.952)
Epoch: [103][4050/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.3781 (2.2860) Prec@1 43.359 (47.665) Prec@5 70.703 (72.954)
Epoch: [103][4060/5005] Time 0.203 (0.210) Data 0.044 (0.048) Loss 2.3545 (2.2860) Prec@1 46.094 (47.666) Prec@5 71.094 (72.954)
Epoch: [103][4070/5005] Time 0.215 (0.210) Data 0.048 (0.048) Loss 2.5628 (2.2860) Prec@1 43.359 (47.665) Prec@5 69.922 (72.955)
Epoch: [103][4080/5005] Time 0.220 (0.210) Data 0.044 (0.048) Loss 2.1431 (2.2860) Prec@1 50.391 (47.669) Prec@5 72.656 (72.954)
Epoch: [103][4090/5005] Time 0.207 (0.210) Data 0.046 (0.048) Loss 2.3189 (2.2859) Prec@1 49.219 (47.670) Prec@5 73.828 (72.956)
Epoch: [103][4100/5005] Time 0.203 (0.210) Data 0.045 (0.048) Loss 2.2091 (2.2858) Prec@1 46.875 (47.670) Prec@5 73.438 (72.957)
Epoch: [103][4110/5005] Time 0.207 (0.210) Data 0.049 (0.048) Loss 2.4090 (2.2858) Prec@1 46.094 (47.667) Prec@5 71.094 (72.958)
Epoch: [103][4120/5005] Time 0.215 (0.210) Data 0.052 (0.048) Loss 2.2667 (2.2856) Prec@1 46.484 (47.669) Prec@5 72.656 (72.960)
Epoch: [103][4130/5005] Time 0.203 (0.210) Data 0.044 (0.048) Loss 2.5014 (2.2856) Prec@1 46.094 (47.668) Prec@5 69.922 (72.960)
Epoch: [103][4140/5005] Time 0.194 (0.210) Data 0.044 (0.048) Loss 2.4572 (2.2857) Prec@1 44.531 (47.669) Prec@5 69.141 (72.959)
Epoch: [103][4150/5005] Time 0.213 (0.210) Data 0.047 (0.048) Loss 2.4670 (2.2859) Prec@1 41.406 (47.667) Prec@5 70.312 (72.956)
Epoch: [103][4160/5005] Time 0.215 (0.210) Data 0.044 (0.048) Loss 2.3367 (2.2860) Prec@1 49.609 (47.666) Prec@5 73.047 (72.955)
Epoch: [103][4170/5005] Time 0.200 (0.210) Data 0.042 (0.048) Loss 2.2200 (2.2859) Prec@1 46.094 (47.669) Prec@5 73.828 (72.955)
Epoch: [103][4180/5005] Time 0.200 (0.210) Data 0.052 (0.048) Loss 2.1488 (2.2857) Prec@1 48.828 (47.671) Prec@5 72.266 (72.958)
Epoch: [103][4190/5005] Time 0.211 (0.210) Data 0.057 (0.048) Loss 2.1951 (2.2857) Prec@1 48.047 (47.672) Prec@5 75.781 (72.957)
Epoch: [103][4200/5005] Time 0.199 (0.210) Data 0.058 (0.048) Loss 2.1320 (2.2857) Prec@1 48.047 (47.668) Prec@5 75.781 (72.957)
Epoch: [103][4210/5005] Time 0.201 (0.210) Data 0.040 (0.048) Loss 2.1465 (2.2857) Prec@1 51.562 (47.670) Prec@5 75.391 (72.957)
Epoch: [103][4220/5005] Time 0.203 (0.210) Data 0.042 (0.048) Loss 2.3249 (2.2858) Prec@1 46.875 (47.667) Prec@5 72.656 (72.955)
Epoch: [103][4230/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.4011 (2.2859) Prec@1 46.484 (47.663) Prec@5 68.750 (72.954)
Epoch: [103][4240/5005] Time 0.209 (0.210) Data 0.041 (0.048) Loss 2.1997 (2.2860) Prec@1 48.828 (47.657) Prec@5 78.906 (72.952)
Epoch: [103][4250/5005] Time 0.206 (0.210) Data 0.042 (0.048) Loss 2.1940 (2.2859) Prec@1 50.000 (47.659) Prec@5 72.656 (72.954)
Epoch: [103][4260/5005] Time 0.215 (0.210) Data 0.042 (0.048) Loss 2.1586 (2.2859) Prec@1 46.484 (47.659) Prec@5 75.000 (72.955)
Epoch: [103][4270/5005] Time 0.207 (0.210) Data 0.057 (0.048) Loss 2.5909 (2.2861) Prec@1 42.578 (47.657) Prec@5 68.359 (72.952)
Epoch: [103][4280/5005] Time 0.207 (0.210) Data 0.040 (0.048) Loss 2.3480 (2.2861) Prec@1 49.609 (47.658) Prec@5 71.875 (72.952)
Epoch: [103][4290/5005] Time 0.217 (0.210) Data 0.044 (0.048) Loss 2.4681 (2.2861) Prec@1 45.312 (47.657) Prec@5 68.750 (72.951)
Epoch: [103][4300/5005] Time 0.208 (0.210) Data 0.047 (0.048) Loss 2.1581 (2.2860) Prec@1 48.828 (47.659) Prec@5 76.172 (72.954)
Epoch: [103][4310/5005] Time 0.216 (0.210) Data 0.043 (0.048) Loss 2.2156 (2.2859) Prec@1 48.438 (47.663) Prec@5 75.391 (72.956)
Epoch: [103][4320/5005] Time 0.214 (0.210) Data 0.043 (0.048) Loss 2.2700 (2.2861) Prec@1 51.953 (47.662) Prec@5 73.047 (72.955)
Epoch: [103][4330/5005] Time 0.207 (0.210) Data 0.041 (0.048) Loss 2.2646 (2.2861) Prec@1 48.047 (47.662) Prec@5 73.438 (72.955)
Epoch: [103][4340/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.2876 (2.2862) Prec@1 44.922 (47.658) Prec@5 73.438 (72.952)
Epoch: [103][4350/5005] Time 0.211 (0.210) Data 0.050 (0.048) Loss 2.3120 (2.2862) Prec@1 50.000 (47.659) Prec@5 74.609 (72.955)
Epoch: [103][4360/5005] Time 0.207 (0.210) Data 0.040 (0.048) Loss 2.1045 (2.2860) Prec@1 46.094 (47.659) Prec@5 76.562 (72.956)
Epoch: [103][4370/5005] Time 0.213 (0.210) Data 0.041 (0.048) Loss 2.2339 (2.2860) Prec@1 50.000 (47.659) Prec@5 75.781 (72.957)
Epoch: [103][4380/5005] Time 0.200 (0.210) Data 0.051 (0.048) Loss 2.3042 (2.2860) Prec@1 46.484 (47.657) Prec@5 71.875 (72.959)
Epoch: [103][4390/5005] Time 0.203 (0.210) Data 0.052 (0.048) Loss 2.2897 (2.2858) Prec@1 46.094 (47.661) Prec@5 73.438 (72.962)
Epoch: [103][4400/5005] Time 0.207 (0.210) Data 0.048 (0.048) Loss 2.2302 (2.2858) Prec@1 51.172 (47.662) Prec@5 73.828 (72.962)
Epoch: [103][4410/5005] Time 0.206 (0.210) Data 0.043 (0.048) Loss 2.2595 (2.2857) Prec@1 44.922 (47.662) Prec@5 73.438 (72.962)
Epoch: [103][4420/5005] Time 0.198 (0.210) Data 0.062 (0.048) Loss 2.0717 (2.2856) Prec@1 52.344 (47.664) Prec@5 76.562 (72.962)
Epoch: [103][4430/5005] Time 0.210 (0.210) Data 0.046 (0.048) Loss 2.1691 (2.2854) Prec@1 47.266 (47.667) Prec@5 71.875 (72.966)
Epoch: [103][4440/5005] Time 0.209 (0.210) Data 0.042 (0.048) Loss 2.5547 (2.2854) Prec@1 43.750 (47.667) Prec@5 70.312 (72.965)
Epoch: [103][4450/5005] Time 0.207 (0.210) Data 0.047 (0.048) Loss 2.1206 (2.2854) Prec@1 49.609 (47.666) Prec@5 76.562 (72.968)
Epoch: [103][4460/5005] Time 0.200 (0.210) Data 0.055 (0.048) Loss 2.2069 (2.2853) Prec@1 48.438 (47.666) Prec@5 72.656 (72.968)
Epoch: [103][4470/5005] Time 0.217 (0.210) Data 0.044 (0.048) Loss 2.1771 (2.2853) Prec@1 47.656 (47.666) Prec@5 74.609 (72.968)
Epoch: [103][4480/5005] Time 0.207 (0.210) Data 0.048 (0.048) Loss 2.2742 (2.2854) Prec@1 48.828 (47.664) Prec@5 73.047 (72.966)
Epoch: [103][4490/5005] Time 0.197 (0.210) Data 0.062 (0.048) Loss 2.2504 (2.2855) Prec@1 48.828 (47.661) Prec@5 73.828 (72.966)
Epoch: [103][4500/5005] Time 0.197 (0.210) Data 0.064 (0.048) Loss 2.1047 (2.2854) Prec@1 51.953 (47.663) Prec@5 75.781 (72.967)
Epoch: [103][4510/5005] Time 0.202 (0.210) Data 0.051 (0.048) Loss 2.1627 (2.2853) Prec@1 49.219 (47.663) Prec@5 75.781 (72.967)
Epoch: [103][4520/5005] Time 0.203 (0.210) Data 0.049 (0.048) Loss 2.1705 (2.2852) Prec@1 50.781 (47.666) Prec@5 76.172 (72.968)
Epoch: [103][4530/5005] Time 0.200 (0.210) Data 0.046 (0.048) Loss 2.1879 (2.2852) Prec@1 52.344 (47.668) Prec@5 74.609 (72.968)
Epoch: [103][4540/5005] Time 0.200 (0.210) Data 0.047 (0.048) Loss 2.4058 (2.2853) Prec@1 44.141 (47.665) Prec@5 70.703 (72.966)
Epoch: [103][4550/5005] Time 0.204 (0.210) Data 0.038 (0.048) Loss 2.2884 (2.2853) Prec@1 49.219 (47.665) Prec@5 70.703 (72.966)
Epoch: [103][4560/5005] Time 0.205 (0.210) Data 0.044 (0.048) Loss 2.1359 (2.2852) Prec@1 51.172 (47.668) Prec@5 76.172 (72.967)
Epoch: [103][4570/5005] Time 0.213 (0.210) Data 0.046 (0.048) Loss 2.2579 (2.2851) Prec@1 51.562 (47.672) Prec@5 70.703 (72.966)
Epoch: [103][4580/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.3357 (2.2850) Prec@1 45.703 (47.674) Prec@5 73.438 (72.968)
Epoch: [103][4590/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.0276 (2.2851) Prec@1 51.953 (47.671) Prec@5 75.781 (72.966)
Epoch: [103][4600/5005] Time 0.204 (0.210) Data 0.042 (0.048) Loss 2.1050 (2.2851) Prec@1 48.828 (47.669) Prec@5 75.391 (72.965)
Epoch: [103][4610/5005] Time 0.204 (0.210) Data 0.047 (0.048) Loss 1.9990 (2.2851) Prec@1 54.297 (47.671) Prec@5 76.953 (72.965)
Epoch: [103][4620/5005] Time 0.209 (0.210) Data 0.042 (0.048) Loss 2.0574 (2.2851) Prec@1 53.125 (47.672) Prec@5 74.609 (72.966)
Epoch: [103][4630/5005] Time 0.208 (0.210) Data 0.041 (0.048) Loss 2.0564 (2.2849) Prec@1 53.125 (47.675) Prec@5 78.516 (72.970)
Epoch: [103][4640/5005] Time 0.213 (0.210) Data 0.044 (0.048) Loss 2.3911 (2.2849) Prec@1 48.047 (47.676) Prec@5 70.703 (72.971)
Epoch: [103][4650/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.2629 (2.2848) Prec@1 44.922 (47.676) Prec@5 73.438 (72.973)
Epoch: [103][4660/5005] Time 0.208 (0.210) Data 0.042 (0.048) Loss 2.5158 (2.2848) Prec@1 45.703 (47.679) Prec@5 66.797 (72.972)
Epoch: [103][4670/5005] Time 0.203 (0.210) Data 0.043 (0.048) Loss 2.1694 (2.2847) Prec@1 46.875 (47.680) Prec@5 74.609 (72.972)
Epoch: [103][4680/5005] Time 0.206 (0.210) Data 0.045 (0.048) Loss 2.1537 (2.2847) Prec@1 48.438 (47.681) Prec@5 76.953 (72.973)
Epoch: [103][4690/5005] Time 0.208 (0.210) Data 0.043 (0.048) Loss 2.2863 (2.2847) Prec@1 48.047 (47.679) Prec@5 74.219 (72.974)
Epoch: [103][4700/5005] Time 0.203 (0.210) Data 0.043 (0.048) Loss 2.2352 (2.2847) Prec@1 49.219 (47.678) Prec@5 74.609 (72.972)
Epoch: [103][4710/5005] Time 0.206 (0.210) Data 0.041 (0.048) Loss 2.0315 (2.2845) Prec@1 56.250 (47.682) Prec@5 76.172 (72.976)
Epoch: [103][4720/5005] Time 0.205 (0.210) Data 0.043 (0.048) Loss 2.1085 (2.2845) Prec@1 48.828 (47.683) Prec@5 76.562 (72.976)
Epoch: [103][4730/5005] Time 0.209 (0.210) Data 0.044 (0.048) Loss 2.3836 (2.2846) Prec@1 46.094 (47.680) Prec@5 69.922 (72.975)
Epoch: [103][4740/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.3327 (2.2846) Prec@1 46.875 (47.680) Prec@5 72.656 (72.977)
Epoch: [103][4750/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.1545 (2.2845) Prec@1 48.438 (47.682) Prec@5 73.047 (72.978)
Epoch: [103][4760/5005] Time 0.208 (0.210) Data 0.043 (0.048) Loss 2.5260 (2.2845) Prec@1 44.141 (47.683) Prec@5 69.922 (72.977)
Epoch: [103][4770/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.1089 (2.2844) Prec@1 51.172 (47.683) Prec@5 77.734 (72.978)
Epoch: [103][4780/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.1971 (2.2843) Prec@1 48.828 (47.684) Prec@5 74.219 (72.981)
Epoch: [103][4790/5005] Time 0.210 (0.210) Data 0.041 (0.048) Loss 2.5751 (2.2844) Prec@1 45.703 (47.686) Prec@5 66.406 (72.981)
Epoch: [103][4800/5005] Time 0.196 (0.210) Data 0.045 (0.048) Loss 2.3544 (2.2843) Prec@1 46.875 (47.688) Prec@5 71.484 (72.981)
Epoch: [103][4810/5005] Time 0.205 (0.210) Data 0.056 (0.048) Loss 2.5173 (2.2843) Prec@1 41.406 (47.688) Prec@5 67.578 (72.981)
Epoch: [103][4820/5005] Time 0.211 (0.210) Data 0.041 (0.048) Loss 2.3974 (2.2841) Prec@1 42.969 (47.690) Prec@5 72.656 (72.983)
Epoch: [103][4830/5005] Time 0.210 (0.210) Data 0.054 (0.048) Loss 2.3747 (2.2840) Prec@1 41.406 (47.693) Prec@5 72.266 (72.986)
Epoch: [103][4840/5005] Time 0.200 (0.210) Data 0.049 (0.048) Loss 2.1295 (2.2840) Prec@1 51.172 (47.692) Prec@5 73.828 (72.985)
Epoch: [103][4850/5005] Time 0.211 (0.210) Data 0.041 (0.048) Loss 2.2364 (2.2841) Prec@1 46.094 (47.691) Prec@5 72.266 (72.984)
Epoch: [103][4860/5005] Time 0.211 (0.210) Data 0.041 (0.048) Loss 2.2647 (2.2839) Prec@1 48.828 (47.694) Prec@5 73.438 (72.986)
Epoch: [103][4870/5005] Time 0.199 (0.210) Data 0.053 (0.048) Loss 2.2040 (2.2839) Prec@1 46.094 (47.695) Prec@5 72.266 (72.987)
Epoch: [103][4880/5005] Time 0.199 (0.210) Data 0.055 (0.048) Loss 2.1257 (2.2837) Prec@1 50.391 (47.697) Prec@5 75.781 (72.990)
Epoch: [103][4890/5005] Time 0.203 (0.210) Data 0.058 (0.048) Loss 2.4454 (2.2838) Prec@1 44.531 (47.695) Prec@5 68.359 (72.990)
Epoch: [103][4900/5005] Time 0.211 (0.210) Data 0.041 (0.048) Loss 2.1247 (2.2837) Prec@1 50.000 (47.696) Prec@5 76.172 (72.990)
Epoch: [103][4910/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.2069 (2.2835) Prec@1 50.391 (47.698) Prec@5 76.172 (72.993)
Epoch: [103][4920/5005] Time 0.218 (0.210) Data 0.044 (0.048) Loss 2.2160 (2.2834) Prec@1 49.609 (47.700) Prec@5 71.875 (72.994)
Epoch: [103][4930/5005] Time 0.202 (0.210) Data 0.048 (0.048) Loss 2.5109 (2.2834) Prec@1 46.875 (47.699) Prec@5 66.406 (72.995)
Epoch: [103][4940/5005] Time 0.209 (0.210) Data 0.067 (0.048) Loss 2.2622 (2.2834) Prec@1 53.906 (47.702) Prec@5 74.219 (72.994)
Epoch: [103][4950/5005] Time 0.215 (0.210) Data 0.052 (0.048) Loss 1.9628 (2.2834) Prec@1 50.781 (47.700) Prec@5 78.516 (72.993)
Epoch: [103][4960/5005] Time 0.200 (0.210) Data 0.055 (0.048) Loss 2.4126 (2.2834) Prec@1 48.438 (47.703) Prec@5 71.875 (72.993)
Epoch: [103][4970/5005] Time 0.217 (0.210) Data 0.060 (0.048) Loss 2.3846 (2.2833) Prec@1 46.875 (47.704) Prec@5 73.438 (72.997)
Epoch: [103][4980/5005] Time 0.205 (0.210) Data 0.046 (0.048) Loss 2.1935 (2.2831) Prec@1 51.953 (47.707) Prec@5 76.562 (73.000)
Epoch: [103][4990/5005] Time 0.207 (0.210) Data 0.022 (0.048) Loss 2.4020 (2.2831) Prec@1 44.531 (47.709) Prec@5 72.266 (73.001)
Epoch: [103][5000/5005] Time 0.205 (0.210) Data 0.021 (0.048) Loss 2.3995 (2.2831) Prec@1 46.875 (47.708) Prec@5 73.047 (73.001)
Test: [0/196] Time 1.811 (1.811) Loss 2.3692 (2.3692) Prec@1 48.047 (48.047) Prec@5 71.484 (71.484)
Test: [10/196] Time 0.558 (0.321) Loss 2.4953 (2.5531) Prec@1 44.141 (43.786) Prec@5 71.094 (69.354)
Test: [20/196] Time 0.045 (0.243) Loss 2.4433 (2.5490) Prec@1 45.703 (43.824) Prec@5 71.484 (69.624)
Test: [30/196] Time 0.758 (0.224) Loss 2.4751 (2.5527) Prec@1 44.141 (43.674) Prec@5 73.438 (69.506)
Test: [40/196] Time 0.089 (0.214) Loss 2.3233 (2.5482) Prec@1 51.172 (44.017) Prec@5 71.484 (69.550)
Test: [50/196] Time 0.082 (0.202) Loss 2.6183 (2.5507) Prec@1 44.922 (43.949) Prec@5 66.797 (69.516)
Test: [60/196] Time 0.043 (0.197) Loss 2.4207 (2.5316) Prec@1 49.219 (44.326) Prec@5 72.656 (69.640)
Test: [70/196] Time 0.045 (0.192) Loss 2.4776 (2.5271) Prec@1 45.703 (44.394) Prec@5 70.312 (69.597)
Test: [80/196] Time 0.351 (0.188) Loss 2.4258 (2.5361) Prec@1 47.656 (44.285) Prec@5 74.219 (69.469)
Test: [90/196] Time 0.102 (0.185) Loss 2.6473 (2.5385) Prec@1 45.703 (44.381) Prec@5 69.141 (69.505)
Test: [100/196] Time 0.292 (0.190) Loss 2.5729 (2.5363) Prec@1 44.922 (44.551) Prec@5 68.359 (69.520)
Test: [110/196] Time 0.302 (0.187) Loss 2.7426 (2.5388) Prec@1 40.625 (44.517) Prec@5 64.453 (69.443)
Test: [120/196] Time 0.044 (0.184) Loss 2.3980 (2.5360) Prec@1 44.141 (44.512) Prec@5 71.484 (69.515)
Test: [130/196] Time 0.042 (0.182) Loss 2.1971 (2.5310) Prec@1 50.000 (44.618) Prec@5 74.609 (69.630)
Test: [140/196] Time 0.626 (0.183) Loss 2.3625 (2.5334) Prec@1 48.438 (44.531) Prec@5 72.266 (69.584)
Test: [150/196] Time 0.238 (0.182) Loss 2.1677 (2.5327) Prec@1 52.344 (44.526) Prec@5 77.344 (69.632)
Test: [160/196] Time 0.413 (0.182) Loss 2.4631 (2.5308) Prec@1 48.828 (44.563) Prec@5 71.094 (69.667)
Test: [170/196] Time 0.045 (0.183) Loss 2.4417 (2.5324) Prec@1 45.312 (44.566) Prec@5 74.219 (69.664)
Test: [180/196] Time 0.043 (0.180) Loss 2.7492 (2.5370) Prec@1 41.406 (44.531) Prec@5 66.016 (69.633)
Test: [190/196] Time 0.109 (0.180) Loss 2.7494 (2.5399) Prec@1 42.969 (44.468) Prec@5 64.062 (69.513)
* Prec@1 44.466 Prec@5 69.524
Learning rate: 1e-07
Epoch: [104][0/5005] Time 1.020 (1.020) Data 0.915 (0.915) Loss 2.1589 (2.1589) Prec@1 49.219 (49.219) Prec@5 76.172 (76.172)
Epoch: [104][10/5005] Time 0.204 (0.277) Data 0.043 (0.129) Loss 2.2730 (2.3042) Prec@1 48.438 (46.768) Prec@5 72.656 (72.301)
Epoch: [104][20/5005] Time 0.207 (0.243) Data 0.044 (0.089) Loss 2.5538 (2.3201) Prec@1 44.141 (46.540) Prec@5 70.703 (72.489)
Epoch: [104][30/5005] Time 0.196 (0.231) Data 0.044 (0.074) Loss 2.1972 (2.2884) Prec@1 48.438 (47.026) Prec@5 74.219 (72.883)
Epoch: [104][40/5005] Time 0.208 (0.225) Data 0.044 (0.067) Loss 2.2435 (2.2939) Prec@1 46.875 (46.875) Prec@5 73.047 (72.875)
Epoch: [104][50/5005] Time 0.206 (0.221) Data 0.044 (0.062) Loss 2.1556 (2.2904) Prec@1 47.266 (46.913) Prec@5 76.953 (72.894)
Epoch: [104][60/5005] Time 0.207 (0.219) Data 0.045 (0.059) Loss 2.3461 (2.2942) Prec@1 48.047 (46.824) Prec@5 72.656 (72.861)
Epoch: [104][70/5005] Time 0.213 (0.217) Data 0.045 (0.058) Loss 2.2742 (2.2940) Prec@1 48.047 (46.886) Prec@5 73.438 (72.893)
Epoch: [104][80/5005] Time 0.190 (0.215) Data 0.047 (0.057) Loss 2.1975 (2.2891) Prec@1 48.047 (46.996) Prec@5 73.047 (72.984)
Epoch: [104][90/5005] Time 0.204 (0.214) Data 0.049 (0.056) Loss 2.2639 (2.2891) Prec@1 48.438 (47.133) Prec@5 75.391 (72.935)
Epoch: [104][100/5005] Time 0.193 (0.212) Data 0.057 (0.055) Loss 2.1135 (2.2885) Prec@1 48.828 (47.088) Prec@5 75.000 (72.950)
Epoch: [104][110/5005] Time 0.191 (0.211) Data 0.043 (0.055) Loss 2.3751 (2.2925) Prec@1 47.656 (47.164) Prec@5 71.094 (72.969)
Epoch: [104][120/5005] Time 0.207 (0.210) Data 0.044 (0.054) Loss 2.3875 (2.2950) Prec@1 44.141 (47.191) Prec@5 69.922 (72.989)
Epoch: [104][130/5005] Time 0.207 (0.210) Data 0.040 (0.053) Loss 2.4160 (2.2966) Prec@1 46.875 (47.272) Prec@5 70.703 (72.993)
Epoch: [104][140/5005] Time 0.209 (0.209) Data 0.042 (0.052) Loss 2.2734 (2.2943) Prec@1 46.094 (47.321) Prec@5 72.266 (72.991)
Epoch: [104][150/5005] Time 0.214 (0.209) Data 0.044 (0.052) Loss 2.4218 (2.2944) Prec@1 46.094 (47.385) Prec@5 69.922 (72.949)
Epoch: [104][160/5005] Time 0.206 (0.209) Data 0.042 (0.051) Loss 2.2158 (2.2952) Prec@1 44.922 (47.365) Prec@5 71.875 (72.926)
Epoch: [104][170/5005] Time 0.214 (0.209) Data 0.044 (0.051) Loss 2.4701 (2.2961) Prec@1 45.703 (47.366) Prec@5 69.922 (72.871)
Epoch: [104][180/5005] Time 0.221 (0.210) Data 0.046 (0.050) Loss 2.5490 (2.2998) Prec@1 44.531 (47.307) Prec@5 70.703 (72.842)
Epoch: [104][190/5005] Time 0.220 (0.210) Data 0.044 (0.050) Loss 2.3760 (2.3038) Prec@1 45.312 (47.225) Prec@5 73.438 (72.801)
Epoch: [104][200/5005] Time 0.220 (0.211) Data 0.044 (0.050) Loss 2.5121 (2.3066) Prec@1 39.062 (47.172) Prec@5 69.141 (72.709)
Epoch: [104][210/5005] Time 0.223 (0.211) Data 0.044 (0.050) Loss 2.0550 (2.3068) Prec@1 54.297 (47.205) Prec@5 77.734 (72.741)
Epoch: [104][220/5005] Time 0.218 (0.212) Data 0.044 (0.049) Loss 2.4712 (2.3084) Prec@1 41.797 (47.151) Prec@5 71.875 (72.766)
Epoch: [104][230/5005] Time 0.219 (0.212) Data 0.046 (0.049) Loss 2.2658 (2.3078) Prec@1 48.047 (47.151) Prec@5 71.094 (72.763)
Epoch: [104][240/5005] Time 0.216 (0.212) Data 0.044 (0.049) Loss 2.2195 (2.3070) Prec@1 46.484 (47.139) Prec@5 71.484 (72.741)
Epoch: [104][250/5005] Time 0.214 (0.212) Data 0.043 (0.049) Loss 2.4141 (2.3069) Prec@1 43.359 (47.122) Prec@5 74.609 (72.781)
Epoch: [104][260/5005] Time 0.214 (0.213) Data 0.043 (0.049) Loss 2.0833 (2.3071) Prec@1 50.000 (47.171) Prec@5 74.219 (72.745)
Epoch: [104][270/5005] Time 0.213 (0.213) Data 0.042 (0.048) Loss 2.2750 (2.3061) Prec@1 49.219 (47.230) Prec@5 73.828 (72.734)
Epoch: [104][280/5005] Time 0.213 (0.213) Data 0.044 (0.048) Loss 2.8321 (2.3091) Prec@1 38.281 (47.178) Prec@5 63.281 (72.687)
Epoch: [104][290/5005] Time 0.217 (0.213) Data 0.043 (0.048) Loss 2.1495 (2.3108) Prec@1 47.266 (47.131) Prec@5 76.953 (72.662)
Epoch: [104][300/5005] Time 0.219 (0.213) Data 0.041 (0.048) Loss 2.1305 (2.3095) Prec@1 47.656 (47.167) Prec@5 75.781 (72.671)
Epoch: [104][310/5005] Time 0.215 (0.213) Data 0.059 (0.048) Loss 2.1736 (2.3074) Prec@1 46.875 (47.154) Prec@5 74.609 (72.710)
Epoch: [104][320/5005] Time 0.220 (0.213) Data 0.046 (0.048) Loss 2.4878 (2.3091) Prec@1 46.094 (47.174) Prec@5 70.312 (72.688)
Epoch: [104][330/5005] Time 0.217 (0.213) Data 0.043 (0.048) Loss 2.1457 (2.3085) Prec@1 48.438 (47.196) Prec@5 75.781 (72.709)
Epoch: [104][340/5005] Time 0.219 (0.213) Data 0.042 (0.048) Loss 2.4818 (2.3125) Prec@1 45.703 (47.138) Prec@5 70.703 (72.665)
Epoch: [104][350/5005] Time 0.217 (0.213) Data 0.042 (0.048) Loss 2.4707 (2.3127) Prec@1 44.531 (47.121) Prec@5 69.141 (72.661)
Epoch: [104][360/5005] Time 0.217 (0.213) Data 0.045 (0.048) Loss 2.4248 (2.3125) Prec@1 47.656 (47.122) Prec@5 71.875 (72.631)
Epoch: [104][370/5005] Time 0.211 (0.213) Data 0.043 (0.048) Loss 2.3140 (2.3115) Prec@1 45.312 (47.126) Prec@5 72.656 (72.636)
Epoch: [104][380/5005] Time 0.197 (0.213) Data 0.043 (0.048) Loss 2.4191 (2.3121) Prec@1 49.219 (47.122) Prec@5 69.141 (72.624)
Epoch: [104][390/5005] Time 0.220 (0.213) Data 0.043 (0.048) Loss 2.1639 (2.3120) Prec@1 50.781 (47.126) Prec@5 75.781 (72.619)
Epoch: [104][400/5005] Time 0.212 (0.213) Data 0.052 (0.048) Loss 2.1417 (2.3104) Prec@1 48.438 (47.155) Prec@5 74.609 (72.631)
Epoch: [104][410/5005] Time 0.211 (0.213) Data 0.046 (0.048) Loss 2.1751 (2.3095) Prec@1 46.484 (47.197) Prec@5 73.828 (72.632)
Epoch: [104][420/5005] Time 0.218 (0.213) Data 0.051 (0.048) Loss 2.1813 (2.3091) Prec@1 50.781 (47.212) Prec@5 75.781 (72.626)
Epoch: [104][430/5005] Time 0.217 (0.213) Data 0.044 (0.048) Loss 2.2366 (2.3085) Prec@1 52.344 (47.209) Prec@5 74.609 (72.632)
Epoch: [104][440/5005] Time 0.215 (0.213) Data 0.048 (0.048) Loss 2.2265 (2.3083) Prec@1 51.172 (47.203) Prec@5 74.609 (72.640)
Epoch: [104][450/5005] Time 0.212 (0.213) Data 0.051 (0.048) Loss 2.1234 (2.3099) Prec@1 44.922 (47.166) Prec@5 77.734 (72.599)
Epoch: [104][460/5005] Time 0.214 (0.213) Data 0.064 (0.048) Loss 2.3531 (2.3104) Prec@1 44.531 (47.153) Prec@5 73.438 (72.601)
Epoch: [104][470/5005] Time 0.213 (0.213) Data 0.045 (0.048) Loss 2.2218 (2.3113) Prec@1 49.609 (47.149) Prec@5 75.000 (72.572)
Epoch: [104][480/5005] Time 0.215 (0.213) Data 0.045 (0.048) Loss 2.2137 (2.3113) Prec@1 48.438 (47.147) Prec@5 74.219 (72.584)
Epoch: [104][490/5005] Time 0.216 (0.213) Data 0.047 (0.048) Loss 2.3423 (2.3121) Prec@1 51.562 (47.126) Prec@5 67.969 (72.550)
Epoch: [104][500/5005] Time 0.205 (0.213) Data 0.048 (0.048) Loss 2.5185 (2.3149) Prec@1 42.188 (47.109) Prec@5 69.531 (72.493)
Epoch: [104][510/5005] Time 0.209 (0.213) Data 0.049 (0.048) Loss 2.5309 (2.3152) Prec@1 42.188 (47.101) Prec@5 67.188 (72.474)
Epoch: [104][520/5005] Time 0.213 (0.213) Data 0.043 (0.048) Loss 2.3326 (2.3146) Prec@1 42.188 (47.088) Prec@5 76.172 (72.502)
Epoch: [104][530/5005] Time 0.212 (0.213) Data 0.044 (0.048) Loss 2.2872 (2.3141) Prec@1 47.266 (47.079) Prec@5 72.266 (72.509)
Epoch: [104][540/5005] Time 0.214 (0.213) Data 0.044 (0.048) Loss 2.5446 (2.3149) Prec@1 39.844 (47.055) Prec@5 69.141 (72.486)
Epoch: [104][550/5005] Time 0.214 (0.213) Data 0.043 (0.048) Loss 2.1719 (2.3144) Prec@1 47.266 (47.063) Prec@5 77.734 (72.509)
Epoch: [104][560/5005] Time 0.209 (0.213) Data 0.045 (0.048) Loss 2.2241 (2.3142) Prec@1 48.047 (47.060) Prec@5 71.094 (72.504)
Epoch: [104][570/5005] Time 0.218 (0.213) Data 0.044 (0.048) Loss 2.3162 (2.3145) Prec@1 46.484 (47.045) Prec@5 74.609 (72.493)
Epoch: [104][580/5005] Time 0.216 (0.213) Data 0.044 (0.048) Loss 2.4199 (2.3139) Prec@1 41.406 (47.060) Prec@5 69.922 (72.502)
Epoch: [104][590/5005] Time 0.206 (0.213) Data 0.053 (0.048) Loss 2.4092 (2.3141) Prec@1 45.703 (47.060) Prec@5 70.703 (72.496)
Epoch: [104][600/5005] Time 0.210 (0.213) Data 0.057 (0.048) Loss 2.3891 (2.3149) Prec@1 48.438 (47.054) Prec@5 73.828 (72.492)
Epoch: [104][610/5005] Time 0.205 (0.213) Data 0.048 (0.048) Loss 2.2625 (2.3149) Prec@1 47.266 (47.059) Prec@5 74.609 (72.510)
Epoch: [104][620/5005] Time 0.204 (0.213) Data 0.047 (0.048) Loss 2.3005 (2.3145) Prec@1 46.484 (47.078) Prec@5 71.094 (72.507)
Epoch: [104][630/5005] Time 0.207 (0.213) Data 0.058 (0.048) Loss 2.5055 (2.3142) Prec@1 41.406 (47.076) Prec@5 70.703 (72.521)
Epoch: [104][640/5005] Time 0.211 (0.213) Data 0.043 (0.048) Loss 2.2159 (2.3145) Prec@1 48.438 (47.064) Prec@5 71.094 (72.505)
Epoch: [104][650/5005] Time 0.206 (0.213) Data 0.041 (0.048) Loss 2.3985 (2.3159) Prec@1 45.703 (47.050) Prec@5 70.703 (72.476)
Epoch: [104][660/5005] Time 0.215 (0.213) Data 0.048 (0.048) Loss 2.4703 (2.3153) Prec@1 42.969 (47.053) Prec@5 69.922 (72.486)
Epoch: [104][670/5005] Time 0.220 (0.213) Data 0.045 (0.048) Loss 2.4194 (2.3153) Prec@1 47.266 (47.076) Prec@5 71.484 (72.483)
Epoch: [104][680/5005] Time 0.198 (0.213) Data 0.048 (0.048) Loss 2.2564 (2.3149) Prec@1 50.000 (47.092) Prec@5 75.000 (72.492)
Epoch: [104][690/5005] Time 0.206 (0.213) Data 0.049 (0.048) Loss 2.1043 (2.3140) Prec@1 50.781 (47.108) Prec@5 76.172 (72.504)
Epoch: [104][700/5005] Time 0.200 (0.213) Data 0.043 (0.048) Loss 2.4036 (2.3134) Prec@1 44.531 (47.106) Prec@5 69.922 (72.506)
Epoch: [104][710/5005] Time 0.206 (0.212) Data 0.050 (0.048) Loss 2.1042 (2.3131) Prec@1 49.609 (47.126) Prec@5 76.562 (72.517)
Epoch: [104][720/5005] Time 0.207 (0.212) Data 0.045 (0.048) Loss 2.2824 (2.3124) Prec@1 47.656 (47.130) Prec@5 73.828 (72.513)
Epoch: [104][730/5005] Time 0.214 (0.212) Data 0.043 (0.048) Loss 2.4533 (2.3128) Prec@1 42.969 (47.126) Prec@5 71.484 (72.511)
Epoch: [104][740/5005] Time 0.200 (0.212) Data 0.054 (0.048) Loss 2.4453 (2.3130) Prec@1 46.484 (47.142) Prec@5 69.141 (72.494)
Epoch: [104][750/5005] Time 0.214 (0.212) Data 0.044 (0.048) Loss 2.1100 (2.3127) Prec@1 51.953 (47.144) Prec@5 76.172 (72.497)
Epoch: [104][760/5005] Time 0.214 (0.212) Data 0.057 (0.048) Loss 2.3500 (2.3130) Prec@1 48.438 (47.139) Prec@5 73.438 (72.491)
Epoch: [104][770/5005] Time 0.210 (0.212) Data 0.057 (0.048) Loss 2.2700 (2.3116) Prec@1 45.312 (47.156) Prec@5 71.484 (72.520)
Epoch: [104][780/5005] Time 0.219 (0.212) Data 0.044 (0.048) Loss 2.3127 (2.3109) Prec@1 47.266 (47.175) Prec@5 70.703 (72.521)
Epoch: [104][790/5005] Time 0.214 (0.212) Data 0.042 (0.048) Loss 2.2324 (2.3103) Prec@1 48.828 (47.183) Prec@5 73.047 (72.542)
Epoch: [104][800/5005] Time 0.199 (0.212) Data 0.043 (0.048) Loss 1.9994 (2.3091) Prec@1 51.953 (47.210) Prec@5 79.297 (72.557)
Epoch: [104][810/5005] Time 0.215 (0.212) Data 0.043 (0.048) Loss 2.3517 (2.3090) Prec@1 48.828 (47.225) Prec@5 72.266 (72.562)
Epoch: [104][820/5005] Time 0.223 (0.212) Data 0.042 (0.048) Loss 2.5167 (2.3096) Prec@1 42.969 (47.214) Prec@5 67.578 (72.544)
Epoch: [104][830/5005] Time 0.204 (0.212) Data 0.040 (0.048) Loss 2.2862 (2.3095) Prec@1 41.406 (47.211) Prec@5 73.828 (72.542)
Epoch: [104][840/5005] Time 0.216 (0.212) Data 0.044 (0.048) Loss 2.2350 (2.3095) Prec@1 50.391 (47.213) Prec@5 72.656 (72.549)
Epoch: [104][850/5005] Time 0.216 (0.212) Data 0.042 (0.048) Loss 2.5306 (2.3090) Prec@1 44.141 (47.223) Prec@5 70.312 (72.551)
Epoch: [104][860/5005] Time 0.217 (0.212) Data 0.044 (0.048) Loss 2.2747 (2.3093) Prec@1 46.875 (47.210) Prec@5 70.703 (72.549)
Epoch: [104][870/5005] Time 0.215 (0.212) Data 0.048 (0.048) Loss 2.3571 (2.3081) Prec@1 44.141 (47.243) Prec@5 71.484 (72.565)
Epoch: [104][880/5005] Time 0.217 (0.212) Data 0.047 (0.048) Loss 2.1957 (2.3086) Prec@1 46.484 (47.228) Prec@5 72.656 (72.559)
Epoch: [104][890/5005] Time 0.208 (0.212) Data 0.056 (0.048) Loss 2.6128 (2.3084) Prec@1 44.531 (47.231) Prec@5 66.797 (72.562)
Epoch: [104][900/5005] Time 0.215 (0.212) Data 0.043 (0.048) Loss 2.1500 (2.3079) Prec@1 48.438 (47.220) Prec@5 75.391 (72.573)
Epoch: [104][910/5005] Time 0.206 (0.212) Data 0.041 (0.048) Loss 2.3031 (2.3074) Prec@1 46.875 (47.234) Prec@5 73.047 (72.579)
Epoch: [104][920/5005] Time 0.207 (0.212) Data 0.042 (0.048) Loss 2.2951 (2.3068) Prec@1 46.875 (47.250) Prec@5 73.828 (72.592)
Epoch: [104][930/5005] Time 0.205 (0.212) Data 0.053 (0.048) Loss 2.3067 (2.3068) Prec@1 48.828 (47.251) Prec@5 70.312 (72.588)
Epoch: [104][940/5005] Time 0.208 (0.212) Data 0.049 (0.048) Loss 2.1613 (2.3067) Prec@1 48.828 (47.249) Prec@5 75.000 (72.586)
Epoch: [104][950/5005] Time 0.214 (0.212) Data 0.042 (0.048) Loss 2.4368 (2.3074) Prec@1 42.578 (47.240) Prec@5 73.047 (72.583)
Epoch: [104][960/5005] Time 0.211 (0.212) Data 0.046 (0.048) Loss 2.4819 (2.3076) Prec@1 43.750 (47.227) Prec@5 68.359 (72.582)
Epoch: [104][970/5005] Time 0.211 (0.212) Data 0.042 (0.048) Loss 2.1711 (2.3076) Prec@1 50.391 (47.227) Prec@5 72.266 (72.571)
Epoch: [104][980/5005] Time 0.211 (0.212) Data 0.044 (0.048) Loss 2.1835 (2.3071) Prec@1 50.000 (47.240) Prec@5 75.781 (72.581)
Epoch: [104][990/5005] Time 0.215 (0.212) Data 0.044 (0.048) Loss 2.4006 (2.3073) Prec@1 44.922 (47.230) Prec@5 73.438 (72.584)
Epoch: [104][1000/5005] Time 0.208 (0.212) Data 0.042 (0.048) Loss 2.3255 (2.3074) Prec@1 49.609 (47.240) Prec@5 75.000 (72.590)
Epoch: [104][1010/5005] Time 0.208 (0.212) Data 0.041 (0.048) Loss 2.3758 (2.3071) Prec@1 47.656 (47.256) Prec@5 71.484 (72.595)
Epoch: [104][1020/5005] Time 0.192 (0.213) Data 0.044 (0.048) Loss 2.0900 (2.3075) Prec@1 54.688 (47.259) Prec@5 78.516 (72.587)
Epoch: [104][1030/5005] Time 0.209 (0.213) Data 0.043 (0.048) Loss 2.1894 (2.3070) Prec@1 48.828 (47.257) Prec@5 73.047 (72.595)
Epoch: [104][1040/5005] Time 0.199 (0.213) Data 0.045 (0.048) Loss 2.4034 (2.3072) Prec@1 44.141 (47.254) Prec@5 71.484 (72.588)
Epoch: [104][1050/5005] Time 0.213 (0.213) Data 0.041 (0.048) Loss 2.4489 (2.3072) Prec@1 45.312 (47.256) Prec@5 69.922 (72.586)
Epoch: [104][1060/5005] Time 0.203 (0.213) Data 0.046 (0.048) Loss 2.3047 (2.3074) Prec@1 48.828 (47.261) Prec@5 70.703 (72.584)
Epoch: [104][1070/5005] Time 0.202 (0.213) Data 0.047 (0.048) Loss 2.2529 (2.3074) Prec@1 49.219 (47.268) Prec@5 71.484 (72.590)
Epoch: [104][1080/5005] Time 0.213 (0.213) Data 0.042 (0.048) Loss 2.4055 (2.3074) Prec@1 44.922 (47.269) Prec@5 71.875 (72.592)
Epoch: [104][1090/5005] Time 0.215 (0.213) Data 0.043 (0.048) Loss 2.2151 (2.3069) Prec@1 46.875 (47.262) Prec@5 73.828 (72.603)
Epoch: [104][1100/5005] Time 0.196 (0.213) Data 0.045 (0.048) Loss 2.2768 (2.3063) Prec@1 49.219 (47.277) Prec@5 74.609 (72.617)
Epoch: [104][1110/5005] Time 0.208 (0.213) Data 0.047 (0.048) Loss 2.3508 (2.3059) Prec@1 46.094 (47.282) Prec@5 73.438 (72.622)
Epoch: [104][1120/5005] Time 0.211 (0.213) Data 0.040 (0.048) Loss 2.2783 (2.3049) Prec@1 47.656 (47.302) Prec@5 72.656 (72.643)
Epoch: [104][1130/5005] Time 0.215 (0.213) Data 0.043 (0.048) Loss 2.4735 (2.3055) Prec@1 43.750 (47.298) Prec@5 65.625 (72.620)
Epoch: [104][1140/5005] Time 0.216 (0.213) Data 0.045 (0.048) Loss 2.2747 (2.3051) Prec@1 48.828 (47.302) Prec@5 73.438 (72.628)
Epoch: [104][1150/5005] Time 0.215 (0.213) Data 0.044 (0.048) Loss 2.2799 (2.3050) Prec@1 44.922 (47.313) Prec@5 71.875 (72.629)
Epoch: [104][1160/5005] Time 0.210 (0.213) Data 0.041 (0.048) Loss 2.2551 (2.3050) Prec@1 46.875 (47.311) Prec@5 74.609 (72.632)
Epoch: [104][1170/5005] Time 0.213 (0.213) Data 0.044 (0.048) Loss 2.1137 (2.3050) Prec@1 50.781 (47.309) Prec@5 76.562 (72.631)
Epoch: [104][1180/5005] Time 0.214 (0.213) Data 0.043 (0.048) Loss 2.4157 (2.3048) Prec@1 47.656 (47.309) Prec@5 69.141 (72.629)
Epoch: [104][1190/5005] Time 0.206 (0.213) Data 0.044 (0.048) Loss 2.1922 (2.3044) Prec@1 47.266 (47.316) Prec@5 75.000 (72.638)
Epoch: [104][1200/5005] Time 0.209 (0.213) Data 0.041 (0.048) Loss 2.5029 (2.3045) Prec@1 44.922 (47.324) Prec@5 70.703 (72.642)
Epoch: [104][1210/5005] Time 0.214 (0.213) Data 0.049 (0.048) Loss 2.2736 (2.3050) Prec@1 48.438 (47.319) Prec@5 72.656 (72.636)
Epoch: [104][1220/5005] Time 0.211 (0.213) Data 0.043 (0.047) Loss 2.2437 (2.3051) Prec@1 46.484 (47.317) Prec@5 70.312 (72.639)
Epoch: [104][1230/5005] Time 0.213 (0.213) Data 0.043 (0.047) Loss 2.3264 (2.3053) Prec@1 47.656 (47.313) Prec@5 72.656 (72.626)
Epoch: [104][1240/5005] Time 0.209 (0.213) Data 0.041 (0.047) Loss 2.2509 (2.3051) Prec@1 52.344 (47.307) Prec@5 71.875 (72.630)
Epoch: [104][1250/5005] Time 0.216 (0.213) Data 0.043 (0.047) Loss 2.4490 (2.3055) Prec@1 42.578 (47.298) Prec@5 67.188 (72.618)
Epoch: [104][1260/5005] Time 0.203 (0.213) Data 0.060 (0.047) Loss 1.9497 (2.3048) Prec@1 52.344 (47.315) Prec@5 78.906 (72.631)
Epoch: [104][1270/5005] Time 0.204 (0.213) Data 0.044 (0.047) Loss 2.3952 (2.3052) Prec@1 48.438 (47.309) Prec@5 71.094 (72.622)
Epoch: [104][1280/5005] Time 0.217 (0.213) Data 0.041 (0.047) Loss 2.3322 (2.3056) Prec@1 46.094 (47.298) Prec@5 71.094 (72.619)
Epoch: [104][1290/5005] Time 0.212 (0.213) Data 0.047 (0.047) Loss 2.0644 (2.3054) Prec@1 53.125 (47.307) Prec@5 76.172 (72.619)
Epoch: [104][1300/5005] Time 0.213 (0.213) Data 0.044 (0.047) Loss 2.2537 (2.3053) Prec@1 50.781 (47.306) Prec@5 72.656 (72.620)
Epoch: [104][1310/5005] Time 0.204 (0.213) Data 0.047 (0.047) Loss 2.3754 (2.3050) Prec@1 44.531 (47.303) Prec@5 70.703 (72.626)
Epoch: [104][1320/5005] Time 0.204 (0.212) Data 0.051 (0.047) Loss 2.3086 (2.3048) Prec@1 47.656 (47.310) Prec@5 72.656 (72.637)
Epoch: [104][1330/5005] Time 0.215 (0.212) Data 0.044 (0.047) Loss 2.3335 (2.3051) Prec@1 46.875 (47.317) Prec@5 70.703 (72.628)
Epoch: [104][1340/5005] Time 0.210 (0.212) Data 0.045 (0.047) Loss 2.3404 (2.3048) Prec@1 44.531 (47.323) Prec@5 73.438 (72.633)
Epoch: [104][1350/5005] Time 0.210 (0.212) Data 0.047 (0.047) Loss 2.8052 (2.3051) Prec@1 41.797 (47.320) Prec@5 66.406 (72.625)
Epoch: [104][1360/5005] Time 0.209 (0.212) Data 0.049 (0.047) Loss 2.1950 (2.3046) Prec@1 50.391 (47.329) Prec@5 75.781 (72.634)
Epoch: [104][1370/5005] Time 0.205 (0.212) Data 0.049 (0.047) Loss 2.4750 (2.3042) Prec@1 45.703 (47.337) Prec@5 68.359 (72.638)
Epoch: [104][1380/5005] Time 0.213 (0.212) Data 0.043 (0.047) Loss 2.3166 (2.3043) Prec@1 46.094 (47.334) Prec@5 73.047 (72.637)
Epoch: [104][1390/5005] Time 0.212 (0.212) Data 0.043 (0.047) Loss 2.1666 (2.3044) Prec@1 50.000 (47.326) Prec@5 76.172 (72.639)
Epoch: [104][1400/5005] Time 0.202 (0.212) Data 0.051 (0.047) Loss 2.3212 (2.3037) Prec@1 46.875 (47.327) Prec@5 71.094 (72.650)
Epoch: [104][1410/5005] Time 0.207 (0.212) Data 0.042 (0.047) Loss 2.3153 (2.3035) Prec@1 47.656 (47.335) Prec@5 73.438 (72.649)
Epoch: [104][1420/5005] Time 0.210 (0.212) Data 0.046 (0.047) Loss 2.3987 (2.3035) Prec@1 45.703 (47.343) Prec@5 68.359 (72.645)
Epoch: [104][1430/5005] Time 0.214 (0.212) Data 0.044 (0.047) Loss 1.9875 (2.3030) Prec@1 48.828 (47.347) Prec@5 77.734 (72.651)
Epoch: [104][1440/5005] Time 0.203 (0.212) Data 0.046 (0.047) Loss 2.0226 (2.3027) Prec@1 51.562 (47.352) Prec@5 76.562 (72.654)
Epoch: [104][1450/5005] Time 0.210 (0.212) Data 0.045 (0.047) Loss 2.2022 (2.3027) Prec@1 48.828 (47.355) Prec@5 73.047 (72.645)
Epoch: [104][1460/5005] Time 0.208 (0.212) Data 0.044 (0.047) Loss 2.3828 (2.3027) Prec@1 43.750 (47.355) Prec@5 70.312 (72.647)
Epoch: [104][1470/5005] Time 0.214 (0.212) Data 0.049 (0.047) Loss 2.3465 (2.3029) Prec@1 47.266 (47.355) Prec@5 71.094 (72.640)
Epoch: [104][1480/5005] Time 0.216 (0.212) Data 0.048 (0.047) Loss 2.2052 (2.3031) Prec@1 49.609 (47.349) Prec@5 76.172 (72.637)
Epoch: [104][1490/5005] Time 0.211 (0.212) Data 0.040 (0.047) Loss 2.6129 (2.3029) Prec@1 44.922 (47.354) Prec@5 68.750 (72.645)
Epoch: [104][1500/5005] Time 0.227 (0.212) Data 0.049 (0.047) Loss 2.3611 (2.3026) Prec@1 47.266 (47.355) Prec@5 71.094 (72.656)
Epoch: [104][1510/5005] Time 0.214 (0.212) Data 0.063 (0.047) Loss 2.1805 (2.3024) Prec@1 44.531 (47.358) Prec@5 73.047 (72.654)
Epoch: [104][1520/5005] Time 0.204 (0.212) Data 0.049 (0.047) Loss 2.3701 (2.3021) Prec@1 46.875 (47.357) Prec@5 72.656 (72.657)
Epoch: [104][1530/5005] Time 0.204 (0.212) Data 0.047 (0.047) Loss 2.5232 (2.3022) Prec@1 49.219 (47.356) Prec@5 70.312 (72.656)
Epoch: [104][1540/5005] Time 0.204 (0.212) Data 0.050 (0.047) Loss 2.3612 (2.3025) Prec@1 49.219 (47.348) Prec@5 70.703 (72.655)
Epoch: [104][1550/5005] Time 0.210 (0.212) Data 0.050 (0.047) Loss 2.3518 (2.3022) Prec@1 47.266 (47.344) Prec@5 75.781 (72.661)
Epoch: [104][1560/5005] Time 0.215 (0.212) Data 0.046 (0.047) Loss 2.1888 (2.3022) Prec@1 48.828 (47.338) Prec@5 71.484 (72.661)
Epoch: [104][1570/5005] Time 0.201 (0.212) Data 0.042 (0.047) Loss 2.1757 (2.3018) Prec@1 50.781 (47.351) Prec@5 73.828 (72.670)
Epoch: [104][1580/5005] Time 0.201 (0.212) Data 0.047 (0.047) Loss 2.0366 (2.3019) Prec@1 49.609 (47.347) Prec@5 76.562 (72.667)
Epoch: [104][1590/5005] Time 0.213 (0.212) Data 0.041 (0.047) Loss 2.2041 (2.3018) Prec@1 53.125 (47.346) Prec@5 74.609 (72.667)
Epoch: [104][1600/5005] Time 0.215 (0.212) Data 0.046 (0.047) Loss 2.3269 (2.3018) Prec@1 46.094 (47.347) Prec@5 73.828 (72.669)
Epoch: [104][1610/5005] Time 0.206 (0.212) Data 0.066 (0.047) Loss 2.5709 (2.3019) Prec@1 41.016 (47.339) Prec@5 71.484 (72.667)
Epoch: [104][1620/5005] Time 0.216 (0.212) Data 0.042 (0.047) Loss 2.3958 (2.3017) Prec@1 45.703 (47.333) Prec@5 70.312 (72.667)
Epoch: [104][1630/5005] Time 0.209 (0.212) Data 0.042 (0.047) Loss 2.2060 (2.3018) Prec@1 49.219 (47.337) Prec@5 74.609 (72.664)
Epoch: [104][1640/5005] Time 0.212 (0.212) Data 0.043 (0.047) Loss 2.3577 (2.3020) Prec@1 46.484 (47.338) Prec@5 74.609 (72.663)
Epoch: [104][1650/5005] Time 0.210 (0.212) Data 0.043 (0.047) Loss 2.3488 (2.3020) Prec@1 46.484 (47.340) Prec@5 72.656 (72.657)
Epoch: [104][1660/5005] Time 0.206 (0.212) Data 0.049 (0.047) Loss 2.2635 (2.3014) Prec@1 45.312 (47.350) Prec@5 74.609 (72.668)
Epoch: [104][1670/5005] Time 0.210 (0.212) Data 0.042 (0.047) Loss 1.9999 (2.3013) Prec@1 54.297 (47.350) Prec@5 78.125 (72.672)
Epoch: [104][1680/5005] Time 0.213 (0.212) Data 0.044 (0.047) Loss 2.4210 (2.3016) Prec@1 46.094 (47.348) Prec@5 69.141 (72.668)
Epoch: [104][1690/5005] Time 0.211 (0.212) Data 0.042 (0.047) Loss 2.1289 (2.3012) Prec@1 50.391 (47.350) Prec@5 74.219 (72.675)
Epoch: [104][1700/5005] Time 0.209 (0.212) Data 0.051 (0.047) Loss 2.2040 (2.3009) Prec@1 46.484 (47.356) Prec@5 74.609 (72.684)
Epoch: [104][1710/5005] Time 0.209 (0.212) Data 0.043 (0.047) Loss 2.1752 (2.3003) Prec@1 51.172 (47.364) Prec@5 73.438 (72.695)
Epoch: [104][1720/5005] Time 0.201 (0.212) Data 0.046 (0.047) Loss 2.3322 (2.3002) Prec@1 46.094 (47.365) Prec@5 73.828 (72.698)
Epoch: [104][1730/5005] Time 0.207 (0.212) Data 0.042 (0.047) Loss 2.2301 (2.3002) Prec@1 45.312 (47.362) Prec@5 76.172 (72.700)
Epoch: [104][1740/5005] Time 0.210 (0.212) Data 0.052 (0.047) Loss 2.5339 (2.3002) Prec@1 41.406 (47.363) Prec@5 70.312 (72.699)
Epoch: [104][1750/5005] Time 0.213 (0.212) Data 0.047 (0.047) Loss 2.3888 (2.3001) Prec@1 44.141 (47.368) Prec@5 72.266 (72.703)
Epoch: [104][1760/5005] Time 0.215 (0.212) Data 0.042 (0.047) Loss 2.1024 (2.2999) Prec@1 54.297 (47.377) Prec@5 75.391 (72.706)
Epoch: [104][1770/5005] Time 0.205 (0.212) Data 0.045 (0.047) Loss 2.3613 (2.2996) Prec@1 44.531 (47.381) Prec@5 74.609 (72.715)
Epoch: [104][1780/5005] Time 0.220 (0.212) Data 0.047 (0.047) Loss 2.2528 (2.2996) Prec@1 45.312 (47.379) Prec@5 71.875 (72.716)
Epoch: [104][1790/5005] Time 0.207 (0.212) Data 0.058 (0.047) Loss 2.2233 (2.2994) Prec@1 50.000 (47.383) Prec@5 72.266 (72.720)
Epoch: [104][1800/5005] Time 0.199 (0.212) Data 0.054 (0.047) Loss 2.1987 (2.2990) Prec@1 49.609 (47.389) Prec@5 75.000 (72.730)
Epoch: [104][1810/5005] Time 0.199 (0.211) Data 0.042 (0.047) Loss 2.2115 (2.2987) Prec@1 50.000 (47.387) Prec@5 74.219 (72.732)
Epoch: [104][1820/5005] Time 0.209 (0.211) Data 0.051 (0.047) Loss 2.4274 (2.2987) Prec@1 42.578 (47.390) Prec@5 72.266 (72.732)
Epoch: [104][1830/5005] Time 0.210 (0.211) Data 0.047 (0.047) Loss 2.1913 (2.2983) Prec@1 52.734 (47.395) Prec@5 73.438 (72.735)
Epoch: [104][1840/5005] Time 0.206 (0.211) Data 0.050 (0.047) Loss 2.3395 (2.2982) Prec@1 44.922 (47.393) Prec@5 73.438 (72.735)
Epoch: [104][1850/5005] Time 0.209 (0.211) Data 0.048 (0.047) Loss 2.3920 (2.2980) Prec@1 47.656 (47.400) Prec@5 73.438 (72.739)
Epoch: [104][1860/5005] Time 0.213 (0.211) Data 0.045 (0.047) Loss 2.1107 (2.2978) Prec@1 52.344 (47.400) Prec@5 72.656 (72.745)
Epoch: [104][1870/5005] Time 0.209 (0.211) Data 0.047 (0.047) Loss 2.4012 (2.2981) Prec@1 45.312 (47.394) Prec@5 71.094 (72.744)
Epoch: [104][1880/5005] Time 0.207 (0.211) Data 0.044 (0.047) Loss 2.2356 (2.2980) Prec@1 48.828 (47.394) Prec@5 74.219 (72.747)
Epoch: [104][1890/5005] Time 0.208 (0.211) Data 0.049 (0.047) Loss 2.3490 (2.2979) Prec@1 46.875 (47.403) Prec@5 69.922 (72.749)
Epoch: [104][1900/5005] Time 0.207 (0.211) Data 0.050 (0.047) Loss 2.3107 (2.2983) Prec@1 46.094 (47.392) Prec@5 75.000 (72.746)
Epoch: [104][1910/5005] Time 0.219 (0.211) Data 0.046 (0.047) Loss 2.2757 (2.2983) Prec@1 47.266 (47.392) Prec@5 75.781 (72.744)
Epoch: [104][1920/5005] Time 0.214 (0.211) Data 0.043 (0.047) Loss 2.1864 (2.2980) Prec@1 50.391 (47.397) Prec@5 74.609 (72.746)
Epoch: [104][1930/5005] Time 0.217 (0.211) Data 0.043 (0.047) Loss 2.1876 (2.2976) Prec@1 51.562 (47.408) Prec@5 72.266 (72.754)
Epoch: [104][1940/5005] Time 0.207 (0.211) Data 0.059 (0.048) Loss 2.1425 (2.2972) Prec@1 49.609 (47.404) Prec@5 73.047 (72.765)
Epoch: [104][1950/5005] Time 0.205 (0.211) Data 0.059 (0.048) Loss 2.4927 (2.2972) Prec@1 45.312 (47.405) Prec@5 70.703 (72.766)
Epoch: [104][1960/5005] Time 0.192 (0.212) Data 0.047 (0.048) Loss 2.2456 (2.2970) Prec@1 48.047 (47.411) Prec@5 74.219 (72.770)
Epoch: [104][1970/5005] Time 0.188 (0.212) Data 0.056 (0.048) Loss 2.3048 (2.2971) Prec@1 44.922 (47.402) Prec@5 75.000 (72.767)
Epoch: [104][1980/5005] Time 0.204 (0.212) Data 0.062 (0.048) Loss 2.1024 (2.2969) Prec@1 51.953 (47.407) Prec@5 75.391 (72.773)
Epoch: [104][1990/5005] Time 0.204 (0.212) Data 0.047 (0.048) Loss 2.0986 (2.2968) Prec@1 52.344 (47.415) Prec@5 74.219 (72.777)
Epoch: [104][2000/5005] Time 0.203 (0.212) Data 0.043 (0.048) Loss 2.1192 (2.2970) Prec@1 49.219 (47.412) Prec@5 77.734 (72.773)
Epoch: [104][2010/5005] Time 0.213 (0.212) Data 0.045 (0.048) Loss 2.1676 (2.2969) Prec@1 48.047 (47.410) Prec@5 73.438 (72.776)
Epoch: [104][2020/5005] Time 0.214 (0.212) Data 0.043 (0.048) Loss 2.2194 (2.2969) Prec@1 52.734 (47.413) Prec@5 76.953 (72.774)
Epoch: [104][2030/5005] Time 0.200 (0.212) Data 0.056 (0.048) Loss 2.3290 (2.2971) Prec@1 46.094 (47.411) Prec@5 73.438 (72.773)
Epoch: [104][2040/5005] Time 0.211 (0.212) Data 0.043 (0.048) Loss 2.0853 (2.2969) Prec@1 50.391 (47.415) Prec@5 75.391 (72.776)
Epoch: [104][2050/5005] Time 0.211 (0.212) Data 0.048 (0.048) Loss 2.3536 (2.2967) Prec@1 48.828 (47.419) Prec@5 71.875 (72.782)
Epoch: [104][2060/5005] Time 0.218 (0.212) Data 0.046 (0.048) Loss 2.2189 (2.2966) Prec@1 48.828 (47.417) Prec@5 74.219 (72.782)
Epoch: [104][2070/5005] Time 0.205 (0.212) Data 0.046 (0.048) Loss 2.3485 (2.2968) Prec@1 48.828 (47.411) Prec@5 71.484 (72.776)
Epoch: [104][2080/5005] Time 0.206 (0.211) Data 0.042 (0.048) Loss 2.3152 (2.2967) Prec@1 47.266 (47.412) Prec@5 74.609 (72.778)
Epoch: [104][2090/5005] Time 0.215 (0.211) Data 0.042 (0.048) Loss 2.1919 (2.2963) Prec@1 50.781 (47.418) Prec@5 75.391 (72.784)
Epoch: [104][2100/5005] Time 0.206 (0.211) Data 0.040 (0.048) Loss 2.3551 (2.2961) Prec@1 46.094 (47.422) Prec@5 74.609 (72.789)
Epoch: [104][2110/5005] Time 0.208 (0.211) Data 0.052 (0.048) Loss 2.2618 (2.2961) Prec@1 49.219 (47.425) Prec@5 73.828 (72.789)
Epoch: [104][2120/5005] Time 0.207 (0.211) Data 0.051 (0.048) Loss 2.4253 (2.2961) Prec@1 50.000 (47.430) Prec@5 69.531 (72.793)
Epoch: [104][2130/5005] Time 0.208 (0.211) Data 0.055 (0.048) Loss 2.1658 (2.2955) Prec@1 53.125 (47.444) Prec@5 74.219 (72.801)
Epoch: [104][2140/5005] Time 0.212 (0.211) Data 0.054 (0.048) Loss 2.1630 (2.2956) Prec@1 49.609 (47.443) Prec@5 73.438 (72.795)
Epoch: [104][2150/5005] Time 0.210 (0.211) Data 0.043 (0.048) Loss 2.1889 (2.2957) Prec@1 51.562 (47.442) Prec@5 72.266 (72.792)
Epoch: [104][2160/5005] Time 0.214 (0.211) Data 0.046 (0.048) Loss 2.2288 (2.2956) Prec@1 48.438 (47.441) Prec@5 75.391 (72.792)
Epoch: [104][2170/5005] Time 0.210 (0.211) Data 0.043 (0.048) Loss 2.2002 (2.2953) Prec@1 49.219 (47.449) Prec@5 74.609 (72.801)
Epoch: [104][2180/5005] Time 0.209 (0.211) Data 0.045 (0.048) Loss 2.2707 (2.2952) Prec@1 50.000 (47.448) Prec@5 72.266 (72.803)
Epoch: [104][2190/5005] Time 0.209 (0.211) Data 0.044 (0.048) Loss 2.4718 (2.2953) Prec@1 44.531 (47.443) Prec@5 68.750 (72.802)
Epoch: [104][2200/5005] Time 0.207 (0.211) Data 0.043 (0.048) Loss 2.2891 (2.2953) Prec@1 46.094 (47.439) Prec@5 72.266 (72.803)
Epoch: [104][2210/5005] Time 0.197 (0.211) Data 0.046 (0.048) Loss 2.4626 (2.2956) Prec@1 41.406 (47.429) Prec@5 70.312 (72.797)
Epoch: [104][2220/5005] Time 0.210 (0.211) Data 0.043 (0.048) Loss 2.4663 (2.2953) Prec@1 47.656 (47.434) Prec@5 69.141 (72.800)
Epoch: [104][2230/5005] Time 0.211 (0.211) Data 0.044 (0.048) Loss 2.1853 (2.2953) Prec@1 51.562 (47.439) Prec@5 77.734 (72.801)
Epoch: [104][2240/5005] Time 0.203 (0.211) Data 0.042 (0.048) Loss 2.2858 (2.2955) Prec@1 50.000 (47.435) Prec@5 75.000 (72.798)
Epoch: [104][2250/5005] Time 0.218 (0.211) Data 0.041 (0.047) Loss 2.0925 (2.2956) Prec@1 51.172 (47.434) Prec@5 77.344 (72.795)
Epoch: [104][2260/5005] Time 0.214 (0.211) Data 0.043 (0.047) Loss 2.2761 (2.2952) Prec@1 46.094 (47.442) Prec@5 73.047 (72.802)
Epoch: [104][2270/5005] Time 0.216 (0.211) Data 0.042 (0.047) Loss 2.5291 (2.2952) Prec@1 40.625 (47.441) Prec@5 66.797 (72.802)
Epoch: [104][2280/5005] Time 0.212 (0.211) Data 0.042 (0.047) Loss 2.3106 (2.2951) Prec@1 48.438 (47.443) Prec@5 73.047 (72.804)
Epoch: [104][2290/5005] Time 0.209 (0.211) Data 0.042 (0.047) Loss 2.0643 (2.2949) Prec@1 52.344 (47.450) Prec@5 76.562 (72.811)
Epoch: [104][2300/5005] Time 0.196 (0.211) Data 0.043 (0.047) Loss 2.2761 (2.2949) Prec@1 48.047 (47.451) Prec@5 70.703 (72.811)
Epoch: [104][2310/5005] Time 0.215 (0.211) Data 0.044 (0.047) Loss 2.1752 (2.2947) Prec@1 49.609 (47.459) Prec@5 73.047 (72.815)
Epoch: [104][2320/5005] Time 0.208 (0.211) Data 0.043 (0.047) Loss 2.4070 (2.2947) Prec@1 42.578 (47.461) Prec@5 69.922 (72.815)
Epoch: [104][2330/5005] Time 0.207 (0.211) Data 0.044 (0.047) Loss 2.1227 (2.2946) Prec@1 50.391 (47.466) Prec@5 74.609 (72.816)
Epoch: [104][2340/5005] Time 0.213 (0.211) Data 0.043 (0.047) Loss 2.2950 (2.2944) Prec@1 47.656 (47.472) Prec@5 72.656 (72.812)
Epoch: [104][2350/5005] Time 0.219 (0.211) Data 0.042 (0.047) Loss 2.2256 (2.2944) Prec@1 48.438 (47.470) Prec@5 74.609 (72.817)
Epoch: [104][2360/5005] Time 0.210 (0.211) Data 0.046 (0.047) Loss 2.2681 (2.2945) Prec@1 47.266 (47.468) Prec@5 73.047 (72.813)
Epoch: [104][2370/5005] Time 0.211 (0.211) Data 0.042 (0.047) Loss 2.4438 (2.2947) Prec@1 45.312 (47.462) Prec@5 67.188 (72.813)
Epoch: [104][2380/5005] Time 0.214 (0.211) Data 0.048 (0.047) Loss 2.2652 (2.2945) Prec@1 51.172 (47.464) Prec@5 75.781 (72.816)
Epoch: [104][2390/5005] Time 0.205 (0.211) Data 0.054 (0.047) Loss 2.3049 (2.2944) Prec@1 45.703 (47.466) Prec@5 70.703 (72.814)
Epoch: [104][2400/5005] Time 0.214 (0.211) Data 0.038 (0.047) Loss 2.3164 (2.2944) Prec@1 45.703 (47.462) Prec@5 73.047 (72.814)
Epoch: [104][2410/5005] Time 0.204 (0.211) Data 0.042 (0.047) Loss 2.6673 (2.2947) Prec@1 39.062 (47.455) Prec@5 65.625 (72.811)
Epoch: [104][2420/5005] Time 0.197 (0.211) Data 0.061 (0.047) Loss 2.3351 (2.2947) Prec@1 48.047 (47.462) Prec@5 71.484 (72.811)
Epoch: [104][2430/5005] Time 0.208 (0.211) Data 0.045 (0.047) Loss 2.2271 (2.2948) Prec@1 49.609 (47.463) Prec@5 69.531 (72.809)
Epoch: [104][2440/5005] Time 0.218 (0.211) Data 0.041 (0.047) Loss 2.0845 (2.2946) Prec@1 52.344 (47.469) Prec@5 77.344 (72.811)
Epoch: [104][2450/5005] Time 0.204 (0.211) Data 0.056 (0.047) Loss 2.1691 (2.2944) Prec@1 47.656 (47.470) Prec@5 70.703 (72.812)
Epoch: [104][2460/5005] Time 0.200 (0.211) Data 0.043 (0.047) Loss 2.3576 (2.2942) Prec@1 41.016 (47.470) Prec@5 72.656 (72.815)
Epoch: [104][2470/5005] Time 0.210 (0.211) Data 0.043 (0.047) Loss 2.1687 (2.2940) Prec@1 48.438 (47.475) Prec@5 71.484 (72.820)
Epoch: [104][2480/5005] Time 0.209 (0.211) Data 0.043 (0.047) Loss 2.3000 (2.2940) Prec@1 47.266 (47.474) Prec@5 72.656 (72.821)
Epoch: [104][2490/5005] Time 0.219 (0.211) Data 0.045 (0.047) Loss 2.0859 (2.2940) Prec@1 48.047 (47.472) Prec@5 76.953 (72.823)
Epoch: [104][2500/5005] Time 0.215 (0.211) Data 0.061 (0.047) Loss 2.2590 (2.2940) Prec@1 51.953 (47.475) Prec@5 71.875 (72.825)
Epoch: [104][2510/5005] Time 0.209 (0.211) Data 0.065 (0.047) Loss 2.3918 (2.2940) Prec@1 46.484 (47.473) Prec@5 71.094 (72.825)
Epoch: [104][2520/5005] Time 0.204 (0.211) Data 0.045 (0.047) Loss 2.1647 (2.2940) Prec@1 51.953 (47.477) Prec@5 73.438 (72.826)
Epoch: [104][2530/5005] Time 0.208 (0.211) Data 0.045 (0.047) Loss 2.3531 (2.2941) Prec@1 48.047 (47.475) Prec@5 71.875 (72.821)
Epoch: [104][2540/5005] Time 0.209 (0.211) Data 0.047 (0.047) Loss 2.1268 (2.2941) Prec@1 47.656 (47.474) Prec@5 75.391 (72.822)
Epoch: [104][2550/5005] Time 0.210 (0.211) Data 0.048 (0.047) Loss 2.2689 (2.2939) Prec@1 46.094 (47.477) Prec@5 76.953 (72.830)
Epoch: [104][2560/5005] Time 0.219 (0.211) Data 0.045 (0.047) Loss 2.4833 (2.2941) Prec@1 42.188 (47.475) Prec@5 70.312 (72.824)
Epoch: [104][2570/5005] Time 0.204 (0.211) Data 0.045 (0.047) Loss 2.3824 (2.2942) Prec@1 42.969 (47.475) Prec@5 74.609 (72.825)
Epoch: [104][2580/5005] Time 0.210 (0.211) Data 0.043 (0.047) Loss 2.4355 (2.2945) Prec@1 43.750 (47.470) Prec@5 70.312 (72.820)
Epoch: [104][2590/5005] Time 0.210 (0.211) Data 0.052 (0.047) Loss 2.3684 (2.2944) Prec@1 46.094 (47.470) Prec@5 71.094 (72.821)
Epoch: [104][2600/5005] Time 0.198 (0.211) Data 0.055 (0.047) Loss 2.2320 (2.2946) Prec@1 48.047 (47.468) Prec@5 76.172 (72.816)
Epoch: [104][2610/5005] Time 0.213 (0.211) Data 0.039 (0.047) Loss 2.3290 (2.2944) Prec@1 45.703 (47.474) Prec@5 69.141 (72.817)
Epoch: [104][2620/5005] Time 0.204 (0.211) Data 0.050 (0.047) Loss 2.2300 (2.2945) Prec@1 44.141 (47.471) Prec@5 72.266 (72.815)
Epoch: [104][2630/5005] Time 0.219 (0.211) Data 0.042 (0.047) Loss 2.5352 (2.2949) Prec@1 44.922 (47.466) Prec@5 70.703 (72.811)
Epoch: [104][2640/5005] Time 0.203 (0.211) Data 0.062 (0.047) Loss 2.3216 (2.2949) Prec@1 43.750 (47.464) Prec@5 71.875 (72.814)
Epoch: [104][2650/5005] Time 0.201 (0.211) Data 0.045 (0.047) Loss 2.5515 (2.2948) Prec@1 41.406 (47.465) Prec@5 65.234 (72.813)
Epoch: [104][2660/5005] Time 0.200 (0.211) Data 0.042 (0.047) Loss 2.2998 (2.2948) Prec@1 44.531 (47.464) Prec@5 73.438 (72.812)
Epoch: [104][2670/5005] Time 0.215 (0.211) Data 0.043 (0.047) Loss 1.9981 (2.2944) Prec@1 50.781 (47.468) Prec@5 77.344 (72.815)
Epoch: [104][2680/5005] Time 0.213 (0.211) Data 0.043 (0.047) Loss 2.2060 (2.2944) Prec@1 50.781 (47.471) Prec@5 75.391 (72.816)
Epoch: [104][2690/5005] Time 0.209 (0.211) Data 0.041 (0.047) Loss 2.2123 (2.2941) Prec@1 51.172 (47.478) Prec@5 76.172 (72.820)
Epoch: [104][2700/5005] Time 0.201 (0.211) Data 0.058 (0.047) Loss 2.1699 (2.2941) Prec@1 48.438 (47.477) Prec@5 75.391 (72.825)
Epoch: [104][2710/5005] Time 0.217 (0.211) Data 0.044 (0.047) Loss 2.0665 (2.2942) Prec@1 51.562 (47.476) Prec@5 75.781 (72.823)
Epoch: [104][2720/5005] Time 0.201 (0.211) Data 0.056 (0.047) Loss 2.2701 (2.2941) Prec@1 50.391 (47.479) Prec@5 74.609 (72.827)
Epoch: [104][2730/5005] Time 0.200 (0.211) Data 0.048 (0.047) Loss 2.4177 (2.2941) Prec@1 46.484 (47.475) Prec@5 70.312 (72.830)
Epoch: [104][2740/5005] Time 0.206 (0.211) Data 0.046 (0.047) Loss 2.3509 (2.2940) Prec@1 46.484 (47.476) Prec@5 72.266 (72.833)
Epoch: [104][2750/5005] Time 0.213 (0.211) Data 0.044 (0.047) Loss 2.2668 (2.2940) Prec@1 47.266 (47.475) Prec@5 71.875 (72.833)
Epoch: [104][2760/5005] Time 0.207 (0.211) Data 0.043 (0.047) Loss 2.2603 (2.2939) Prec@1 50.000 (47.478) Prec@5 76.172 (72.837)
Epoch: [104][2770/5005] Time 0.208 (0.211) Data 0.062 (0.047) Loss 2.2716 (2.2939) Prec@1 47.656 (47.477) Prec@5 73.438 (72.836)
Epoch: [104][2780/5005] Time 0.205 (0.211) Data 0.045 (0.047) Loss 2.5394 (2.2938) Prec@1 44.141 (47.478) Prec@5 67.969 (72.838)
Epoch: [104][2790/5005] Time 0.199 (0.211) Data 0.058 (0.047) Loss 2.3193 (2.2939) Prec@1 45.703 (47.480) Prec@5 71.094 (72.837)
Epoch: [104][2800/5005] Time 0.207 (0.211) Data 0.046 (0.047) Loss 2.0863 (2.2937) Prec@1 51.953 (47.484) Prec@5 78.125 (72.839)
Epoch: [104][2810/5005] Time 0.213 (0.211) Data 0.041 (0.047) Loss 2.4800 (2.2937) Prec@1 42.188 (47.483) Prec@5 68.750 (72.838)
Epoch: [104][2820/5005] Time 0.213 (0.211) Data 0.046 (0.047) Loss 2.0401 (2.2936) Prec@1 47.656 (47.487) Prec@5 76.562 (72.841)
Epoch: [104][2830/5005] Time 0.208 (0.211) Data 0.044 (0.047) Loss 2.5635 (2.2937) Prec@1 42.969 (47.482) Prec@5 68.359 (72.839)
Epoch: [104][2840/5005] Time 0.207 (0.211) Data 0.040 (0.047) Loss 2.2568 (2.2936) Prec@1 48.828 (47.477) Prec@5 72.266 (72.841)
Epoch: [104][2850/5005] Time 0.203 (0.211) Data 0.062 (0.047) Loss 2.3237 (2.2935) Prec@1 49.219 (47.481) Prec@5 71.094 (72.841)
Epoch: [104][2860/5005] Time 0.203 (0.211) Data 0.066 (0.047) Loss 2.3088 (2.2938) Prec@1 47.266 (47.480) Prec@5 73.047 (72.840)
Epoch: [104][2870/5005] Time 0.204 (0.211) Data 0.042 (0.047) Loss 2.2191 (2.2934) Prec@1 51.172 (47.488) Prec@5 74.609 (72.847)
Epoch: [104][2880/5005] Time 0.211 (0.211) Data 0.041 (0.047) Loss 2.3178 (2.2935) Prec@1 45.312 (47.486) Prec@5 71.484 (72.845)
Epoch: [104][2890/5005] Time 0.216 (0.211) Data 0.044 (0.047) Loss 2.3236 (2.2934) Prec@1 43.750 (47.489) Prec@5 70.703 (72.848)
Epoch: [104][2900/5005] Time 0.199 (0.211) Data 0.053 (0.047) Loss 1.9550 (2.2931) Prec@1 56.250 (47.497) Prec@5 78.516 (72.853)
Epoch: [104][2910/5005] Time 0.206 (0.211) Data 0.041 (0.047) Loss 2.2722 (2.2932) Prec@1 43.750 (47.494) Prec@5 76.172 (72.852)
Epoch: [104][2920/5005] Time 0.211 (0.211) Data 0.041 (0.047) Loss 2.4786 (2.2933) Prec@1 42.969 (47.491) Prec@5 69.531 (72.851)
Epoch: [104][2930/5005] Time 0.211 (0.211) Data 0.044 (0.047) Loss 2.5177 (2.2934) Prec@1 39.844 (47.493) Prec@5 71.094 (72.851)
Epoch: [104][2940/5005] Time 0.213 (0.211) Data 0.043 (0.047) Loss 2.5375 (2.2933) Prec@1 42.188 (47.494) Prec@5 71.484 (72.855)
Epoch: [104][2950/5005] Time 0.213 (0.211) Data 0.043 (0.047) Loss 2.3614 (2.2932) Prec@1 45.312 (47.495) Prec@5 75.000 (72.858)
Epoch: [104][2960/5005] Time 0.216 (0.211) Data 0.043 (0.047) Loss 2.2763 (2.2931) Prec@1 49.609 (47.500) Prec@5 73.828 (72.857)
Epoch: [104][2970/5005] Time 0.203 (0.211) Data 0.043 (0.047) Loss 2.3166 (2.2930) Prec@1 46.484 (47.503) Prec@5 72.656 (72.861)
Epoch: [104][2980/5005] Time 0.203 (0.211) Data 0.043 (0.047) Loss 2.3079 (2.2928) Prec@1 47.266 (47.503) Prec@5 69.922 (72.863)
Epoch: [104][2990/5005] Time 0.200 (0.211) Data 0.047 (0.047) Loss 2.3462 (2.2929) Prec@1 48.047 (47.502) Prec@5 69.531 (72.860)
Epoch: [104][3000/5005] Time 0.203 (0.211) Data 0.045 (0.047) Loss 2.3389 (2.2927) Prec@1 47.656 (47.506) Prec@5 70.703 (72.862)
Epoch: [104][3010/5005] Time 0.195 (0.211) Data 0.046 (0.047) Loss 2.1466 (2.2927) Prec@1 47.656 (47.500) Prec@5 75.391 (72.861)
Epoch: [104][3020/5005] Time 0.198 (0.210) Data 0.049 (0.047) Loss 2.1539 (2.2927) Prec@1 47.656 (47.496) Prec@5 75.000 (72.863)
Epoch: [104][3030/5005] Time 0.213 (0.210) Data 0.043 (0.047) Loss 2.3447 (2.2928) Prec@1 50.000 (47.501) Prec@5 73.047 (72.862)
Epoch: [104][3040/5005] Time 0.205 (0.210) Data 0.043 (0.047) Loss 2.2445 (2.2926) Prec@1 48.047 (47.508) Prec@5 75.781 (72.862)
Epoch: [104][3050/5005] Time 0.212 (0.210) Data 0.051 (0.047) Loss 2.3819 (2.2926) Prec@1 42.969 (47.506) Prec@5 73.047 (72.863)
Epoch: [104][3060/5005] Time 0.208 (0.210) Data 0.041 (0.047) Loss 2.0482 (2.2924) Prec@1 52.344 (47.508) Prec@5 78.516 (72.869)
Epoch: [104][3070/5005] Time 0.207 (0.210) Data 0.043 (0.047) Loss 2.2463 (2.2925) Prec@1 47.656 (47.507) Prec@5 71.875 (72.869)
Epoch: [104][3080/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.2476 (2.2924) Prec@1 42.969 (47.503) Prec@5 74.609 (72.870)
Epoch: [104][3090/5005] Time 0.209 (0.210) Data 0.047 (0.047) Loss 2.5585 (2.2924) Prec@1 42.578 (47.503) Prec@5 69.922 (72.871)
Epoch: [104][3100/5005] Time 0.206 (0.210) Data 0.046 (0.047) Loss 2.3154 (2.2926) Prec@1 47.656 (47.501) Prec@5 73.047 (72.868)
Epoch: [104][3110/5005] Time 0.201 (0.210) Data 0.061 (0.047) Loss 2.0503 (2.2922) Prec@1 52.734 (47.506) Prec@5 76.172 (72.872)
Epoch: [104][3120/5005] Time 0.206 (0.210) Data 0.050 (0.047) Loss 2.3089 (2.2922) Prec@1 46.484 (47.506) Prec@5 70.703 (72.871)
Epoch: [104][3130/5005] Time 0.210 (0.210) Data 0.048 (0.047) Loss 2.3313 (2.2921) Prec@1 44.531 (47.509) Prec@5 72.656 (72.874)
Epoch: [104][3140/5005] Time 0.201 (0.210) Data 0.046 (0.047) Loss 2.1138 (2.2921) Prec@1 54.688 (47.511) Prec@5 73.438 (72.874)
Epoch: [104][3150/5005] Time 0.208 (0.210) Data 0.046 (0.047) Loss 2.3136 (2.2920) Prec@1 50.000 (47.512) Prec@5 73.438 (72.875)
Epoch: [104][3160/5005] Time 0.208 (0.210) Data 0.047 (0.047) Loss 2.1172 (2.2919) Prec@1 52.734 (47.517) Prec@5 77.344 (72.878)
Epoch: [104][3170/5005] Time 0.208 (0.210) Data 0.044 (0.047) Loss 2.2800 (2.2919) Prec@1 47.266 (47.519) Prec@5 73.828 (72.877)
Epoch: [104][3180/5005] Time 0.212 (0.210) Data 0.049 (0.047) Loss 2.1671 (2.2919) Prec@1 53.125 (47.521) Prec@5 70.312 (72.872)
Epoch: [104][3190/5005] Time 0.197 (0.210) Data 0.051 (0.047) Loss 2.1892 (2.2918) Prec@1 46.875 (47.525) Prec@5 75.000 (72.876)
Epoch: [104][3200/5005] Time 0.213 (0.210) Data 0.040 (0.047) Loss 2.1936 (2.2917) Prec@1 48.828 (47.528) Prec@5 77.734 (72.881)
Epoch: [104][3210/5005] Time 0.212 (0.210) Data 0.044 (0.047) Loss 2.3630 (2.2916) Prec@1 47.266 (47.532) Prec@5 73.047 (72.883)
Epoch: [104][3220/5005] Time 0.209 (0.210) Data 0.055 (0.047) Loss 2.4831 (2.2917) Prec@1 43.359 (47.528) Prec@5 68.750 (72.882)
Epoch: [104][3230/5005] Time 0.212 (0.210) Data 0.041 (0.047) Loss 2.1714 (2.2915) Prec@1 50.781 (47.530) Prec@5 73.438 (72.883)
Epoch: [104][3240/5005] Time 0.197 (0.210) Data 0.060 (0.047) Loss 2.4929 (2.2918) Prec@1 41.406 (47.521) Prec@5 71.875 (72.878)
Epoch: [104][3250/5005] Time 0.203 (0.210) Data 0.058 (0.047) Loss 2.1856 (2.2919) Prec@1 49.609 (47.516) Prec@5 74.219 (72.878)
Epoch: [104][3260/5005] Time 0.217 (0.210) Data 0.045 (0.047) Loss 2.0746 (2.2919) Prec@1 50.000 (47.516) Prec@5 76.172 (72.879)
Epoch: [104][3270/5005] Time 0.205 (0.210) Data 0.059 (0.048) Loss 2.4492 (2.2918) Prec@1 47.656 (47.514) Prec@5 69.922 (72.883)
Epoch: [104][3280/5005] Time 0.207 (0.210) Data 0.056 (0.048) Loss 2.2564 (2.2919) Prec@1 51.562 (47.513) Prec@5 73.047 (72.880)
Epoch: [104][3290/5005] Time 0.197 (0.210) Data 0.061 (0.048) Loss 2.3073 (2.2918) Prec@1 46.094 (47.513) Prec@5 74.219 (72.878)
Epoch: [104][3300/5005] Time 0.211 (0.210) Data 0.042 (0.048) Loss 2.2486 (2.2919) Prec@1 46.484 (47.512) Prec@5 73.828 (72.877)
Epoch: [104][3310/5005] Time 0.206 (0.210) Data 0.041 (0.048) Loss 2.1859 (2.2919) Prec@1 46.094 (47.512) Prec@5 73.438 (72.875)
Epoch: [104][3320/5005] Time 0.219 (0.210) Data 0.042 (0.048) Loss 2.3134 (2.2919) Prec@1 49.219 (47.515) Prec@5 71.094 (72.874)
Epoch: [104][3330/5005] Time 0.223 (0.210) Data 0.042 (0.047) Loss 2.3529 (2.2920) Prec@1 45.703 (47.513) Prec@5 69.922 (72.866)
Epoch: [104][3340/5005] Time 0.201 (0.210) Data 0.043 (0.047) Loss 2.3224 (2.2920) Prec@1 48.828 (47.513) Prec@5 72.656 (72.868)
Epoch: [104][3350/5005] Time 0.203 (0.210) Data 0.044 (0.047) Loss 2.3796 (2.2918) Prec@1 46.484 (47.516) Prec@5 71.484 (72.872)
Epoch: [104][3360/5005] Time 0.198 (0.210) Data 0.051 (0.047) Loss 2.1344 (2.2919) Prec@1 49.609 (47.515) Prec@5 75.781 (72.872)
Epoch: [104][3370/5005] Time 0.213 (0.210) Data 0.045 (0.048) Loss 2.3894 (2.2919) Prec@1 46.094 (47.511) Prec@5 72.266 (72.872)
Epoch: [104][3380/5005] Time 0.208 (0.210) Data 0.049 (0.048) Loss 2.2315 (2.2917) Prec@1 45.703 (47.511) Prec@5 73.438 (72.876)
Epoch: [104][3390/5005] Time 0.203 (0.210) Data 0.052 (0.048) Loss 2.2310 (2.2918) Prec@1 47.656 (47.507) Prec@5 77.734 (72.874)
Epoch: [104][3400/5005] Time 0.203 (0.210) Data 0.052 (0.048) Loss 2.2563 (2.2920) Prec@1 46.875 (47.506) Prec@5 75.391 (72.871)
Epoch: [104][3410/5005] Time 0.208 (0.210) Data 0.048 (0.048) Loss 2.2626 (2.2919) Prec@1 48.828 (47.510) Prec@5 72.656 (72.871)
Epoch: [104][3420/5005] Time 0.203 (0.210) Data 0.050 (0.048) Loss 2.2346 (2.2920) Prec@1 49.219 (47.505) Prec@5 73.828 (72.871)
Epoch: [104][3430/5005] Time 0.204 (0.210) Data 0.048 (0.048) Loss 2.2760 (2.2919) Prec@1 48.828 (47.507) Prec@5 73.047 (72.873)
Epoch: [104][3440/5005] Time 0.213 (0.210) Data 0.046 (0.048) Loss 2.4415 (2.2918) Prec@1 44.531 (47.508) Prec@5 69.922 (72.875)
Epoch: [104][3450/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.1935 (2.2916) Prec@1 46.875 (47.511) Prec@5 74.609 (72.876)
Epoch: [104][3460/5005] Time 0.206 (0.210) Data 0.045 (0.048) Loss 2.2553 (2.2917) Prec@1 48.828 (47.510) Prec@5 72.656 (72.877)
Epoch: [104][3470/5005] Time 0.199 (0.210) Data 0.050 (0.048) Loss 2.0658 (2.2916) Prec@1 53.906 (47.513) Prec@5 76.562 (72.881)
Epoch: [104][3480/5005] Time 0.210 (0.210) Data 0.046 (0.048) Loss 2.1634 (2.2912) Prec@1 52.344 (47.521) Prec@5 75.000 (72.887)
Epoch: [104][3490/5005] Time 0.208 (0.210) Data 0.049 (0.048) Loss 2.2828 (2.2912) Prec@1 45.703 (47.521) Prec@5 74.609 (72.889)
Epoch: [104][3500/5005] Time 0.198 (0.210) Data 0.049 (0.048) Loss 2.1050 (2.2912) Prec@1 48.438 (47.519) Prec@5 75.781 (72.889)
Epoch: [104][3510/5005] Time 0.199 (0.210) Data 0.052 (0.048) Loss 2.1726 (2.2909) Prec@1 48.047 (47.524) Prec@5 74.219 (72.894)
Epoch: [104][3520/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.3708 (2.2909) Prec@1 46.875 (47.523) Prec@5 70.703 (72.894)
Epoch: [104][3530/5005] Time 0.198 (0.210) Data 0.043 (0.048) Loss 2.3140 (2.2907) Prec@1 47.266 (47.528) Prec@5 72.656 (72.896)
Epoch: [104][3540/5005] Time 0.212 (0.210) Data 0.045 (0.048) Loss 2.1305 (2.2905) Prec@1 49.609 (47.532) Prec@5 76.172 (72.899)
Epoch: [104][3550/5005] Time 0.218 (0.210) Data 0.041 (0.048) Loss 2.4116 (2.2903) Prec@1 46.875 (47.536) Prec@5 70.312 (72.901)
Epoch: [104][3560/5005] Time 0.213 (0.210) Data 0.043 (0.047) Loss 2.4675 (2.2903) Prec@1 42.969 (47.538) Prec@5 69.141 (72.902)
Epoch: [104][3570/5005] Time 0.207 (0.210) Data 0.043 (0.047) Loss 2.3533 (2.2904) Prec@1 44.141 (47.535) Prec@5 73.438 (72.900)
Epoch: [104][3580/5005] Time 0.211 (0.210) Data 0.044 (0.047) Loss 2.2472 (2.2905) Prec@1 51.562 (47.535) Prec@5 73.438 (72.898)
Epoch: [104][3590/5005] Time 0.212 (0.210) Data 0.046 (0.047) Loss 2.3982 (2.2903) Prec@1 45.703 (47.538) Prec@5 68.750 (72.898)
Epoch: [104][3600/5005] Time 0.211 (0.210) Data 0.044 (0.047) Loss 2.3104 (2.2901) Prec@1 48.047 (47.542) Prec@5 73.438 (72.902)
Epoch: [104][3610/5005] Time 0.210 (0.210) Data 0.043 (0.047) Loss 2.1316 (2.2902) Prec@1 48.828 (47.542) Prec@5 75.391 (72.899)
Epoch: [104][3620/5005] Time 0.211 (0.210) Data 0.042 (0.047) Loss 2.4670 (2.2900) Prec@1 44.922 (47.544) Prec@5 69.141 (72.904)
Epoch: [104][3630/5005] Time 0.216 (0.210) Data 0.054 (0.047) Loss 2.4090 (2.2898) Prec@1 45.703 (47.547) Prec@5 71.875 (72.907)
Epoch: [104][3640/5005] Time 0.209 (0.210) Data 0.047 (0.047) Loss 2.2452 (2.2898) Prec@1 45.312 (47.547) Prec@5 75.391 (72.909)
Epoch: [104][3650/5005] Time 0.217 (0.210) Data 0.041 (0.047) Loss 2.1384 (2.2899) Prec@1 48.828 (47.546) Prec@5 78.125 (72.908)
Epoch: [104][3660/5005] Time 0.202 (0.210) Data 0.043 (0.047) Loss 2.3303 (2.2897) Prec@1 46.484 (47.550) Prec@5 73.047 (72.912)
Epoch: [104][3670/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.4155 (2.2899) Prec@1 46.484 (47.547) Prec@5 70.703 (72.910)
Epoch: [104][3680/5005] Time 0.200 (0.210) Data 0.046 (0.047) Loss 2.1430 (2.2900) Prec@1 49.219 (47.543) Prec@5 75.391 (72.911)
Epoch: [104][3690/5005] Time 0.213 (0.210) Data 0.044 (0.047) Loss 2.1182 (2.2899) Prec@1 49.219 (47.546) Prec@5 76.172 (72.915)
Epoch: [104][3700/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.3030 (2.2900) Prec@1 50.781 (47.545) Prec@5 73.047 (72.913)
Epoch: [104][3710/5005] Time 0.202 (0.210) Data 0.045 (0.047) Loss 2.2349 (2.2901) Prec@1 52.344 (47.542) Prec@5 74.609 (72.913)
Epoch: [104][3720/5005] Time 0.201 (0.210) Data 0.051 (0.047) Loss 2.4405 (2.2901) Prec@1 42.578 (47.539) Prec@5 73.438 (72.913)
Epoch: [104][3730/5005] Time 0.203 (0.210) Data 0.046 (0.047) Loss 2.1487 (2.2900) Prec@1 53.906 (47.542) Prec@5 74.609 (72.915)
Epoch: [104][3740/5005] Time 0.212 (0.210) Data 0.038 (0.047) Loss 2.1501 (2.2897) Prec@1 51.562 (47.543) Prec@5 76.562 (72.922)
Epoch: [104][3750/5005] Time 0.216 (0.210) Data 0.042 (0.047) Loss 2.1882 (2.2899) Prec@1 51.953 (47.541) Prec@5 75.391 (72.920)
Epoch: [104][3760/5005] Time 0.204 (0.210) Data 0.043 (0.047) Loss 2.4256 (2.2900) Prec@1 44.531 (47.540) Prec@5 70.312 (72.917)
Epoch: [104][3770/5005] Time 0.202 (0.210) Data 0.039 (0.047) Loss 2.3894 (2.2899) Prec@1 45.703 (47.540) Prec@5 71.484 (72.917)
Epoch: [104][3780/5005] Time 0.212 (0.210) Data 0.046 (0.047) Loss 2.3145 (2.2898) Prec@1 44.531 (47.541) Prec@5 73.438 (72.916)
Epoch: [104][3790/5005] Time 0.208 (0.210) Data 0.054 (0.047) Loss 2.4603 (2.2900) Prec@1 46.094 (47.538) Prec@5 71.094 (72.917)
Epoch: [104][3800/5005] Time 0.211 (0.210) Data 0.048 (0.047) Loss 2.1883 (2.2902) Prec@1 48.438 (47.535) Prec@5 74.219 (72.912)
Epoch: [104][3810/5005] Time 0.212 (0.210) Data 0.042 (0.047) Loss 2.1907 (2.2902) Prec@1 51.953 (47.533) Prec@5 75.391 (72.911)
Epoch: [104][3820/5005] Time 0.209 (0.210) Data 0.048 (0.047) Loss 2.2104 (2.2900) Prec@1 50.391 (47.537) Prec@5 75.391 (72.915)
Epoch: [104][3830/5005] Time 0.211 (0.210) Data 0.048 (0.047) Loss 2.3405 (2.2898) Prec@1 42.969 (47.537) Prec@5 71.094 (72.916)
Epoch: [104][3840/5005] Time 0.209 (0.210) Data 0.047 (0.047) Loss 2.4917 (2.2899) Prec@1 43.359 (47.536) Prec@5 69.141 (72.913)
Epoch: [104][3850/5005] Time 0.204 (0.210) Data 0.047 (0.047) Loss 2.3396 (2.2900) Prec@1 47.266 (47.533) Prec@5 75.391 (72.914)
Epoch: [104][3860/5005] Time 0.346 (0.210) Data 0.038 (0.047) Loss 2.0868 (2.2899) Prec@1 51.953 (47.533) Prec@5 73.047 (72.914)
Epoch: [104][3870/5005] Time 0.201 (0.210) Data 0.044 (0.047) Loss 2.2038 (2.2901) Prec@1 46.875 (47.526) Prec@5 75.391 (72.912)
Epoch: [104][3880/5005] Time 0.210 (0.210) Data 0.045 (0.047) Loss 2.1771 (2.2901) Prec@1 50.000 (47.526) Prec@5 76.953 (72.912)
Epoch: [104][3890/5005] Time 0.212 (0.210) Data 0.046 (0.047) Loss 2.5891 (2.2900) Prec@1 39.062 (47.527) Prec@5 69.141 (72.911)
Epoch: [104][3900/5005] Time 0.205 (0.210) Data 0.043 (0.047) Loss 2.5508 (2.2902) Prec@1 41.406 (47.525) Prec@5 68.750 (72.910)
Epoch: [104][3910/5005] Time 0.212 (0.210) Data 0.043 (0.047) Loss 2.3258 (2.2902) Prec@1 46.484 (47.525) Prec@5 71.875 (72.911)
Epoch: [104][3920/5005] Time 0.209 (0.210) Data 0.042 (0.047) Loss 2.1752 (2.2901) Prec@1 50.781 (47.527) Prec@5 76.172 (72.912)
Epoch: [104][3930/5005] Time 0.211 (0.210) Data 0.043 (0.047) Loss 2.2967 (2.2899) Prec@1 46.875 (47.530) Prec@5 72.656 (72.916)
Epoch: [104][3940/5005] Time 0.211 (0.210) Data 0.042 (0.047) Loss 2.2621 (2.2898) Prec@1 48.047 (47.529) Prec@5 70.703 (72.917)
Epoch: [104][3950/5005] Time 0.212 (0.210) Data 0.042 (0.047) Loss 2.1475 (2.2896) Prec@1 51.172 (47.532) Prec@5 76.562 (72.921)
Epoch: [104][3960/5005] Time 0.212 (0.210) Data 0.043 (0.047) Loss 2.2650 (2.2896) Prec@1 46.094 (47.533) Prec@5 73.438 (72.919)
Epoch: [104][3970/5005] Time 0.208 (0.210) Data 0.042 (0.047) Loss 2.1115 (2.2895) Prec@1 51.953 (47.534) Prec@5 77.344 (72.919)
Epoch: [104][3980/5005] Time 0.213 (0.210) Data 0.044 (0.047) Loss 2.1395 (2.2894) Prec@1 49.609 (47.536) Prec@5 76.953 (72.922)
Epoch: [104][3990/5005] Time 0.205 (0.210) Data 0.046 (0.047) Loss 2.4035 (2.2895) Prec@1 45.703 (47.533) Prec@5 71.875 (72.920)
Epoch: [104][4000/5005] Time 0.211 (0.210) Data 0.047 (0.047) Loss 2.2419 (2.2895) Prec@1 45.312 (47.529) Prec@5 73.047 (72.920)
Epoch: [104][4010/5005] Time 0.213 (0.210) Data 0.053 (0.047) Loss 2.3147 (2.2893) Prec@1 48.438 (47.534) Prec@5 71.094 (72.923)
Epoch: [104][4020/5005] Time 0.201 (0.210) Data 0.061 (0.047) Loss 2.3363 (2.2894) Prec@1 47.266 (47.532) Prec@5 71.484 (72.924)
Epoch: [104][4030/5005] Time 0.200 (0.210) Data 0.047 (0.047) Loss 2.4234 (2.2896) Prec@1 47.266 (47.530) Prec@5 71.484 (72.920)
Epoch: [104][4040/5005] Time 0.213 (0.210) Data 0.042 (0.047) Loss 2.3039 (2.2897) Prec@1 45.703 (47.529) Prec@5 71.094 (72.919)
Epoch: [104][4050/5005] Time 0.207 (0.210) Data 0.059 (0.047) Loss 2.4640 (2.2897) Prec@1 41.797 (47.528) Prec@5 68.359 (72.919)
Epoch: [104][4060/5005] Time 0.197 (0.210) Data 0.046 (0.047) Loss 2.2690 (2.2897) Prec@1 46.094 (47.527) Prec@5 71.484 (72.917)
Epoch: [104][4070/5005] Time 0.211 (0.210) Data 0.042 (0.047) Loss 2.4318 (2.2897) Prec@1 46.875 (47.529) Prec@5 71.094 (72.917)
Epoch: [104][4080/5005] Time 0.210 (0.210) Data 0.043 (0.047) Loss 2.0873 (2.2896) Prec@1 51.953 (47.530) Prec@5 76.172 (72.916)
Epoch: [104][4090/5005] Time 0.216 (0.210) Data 0.041 (0.047) Loss 2.5402 (2.2896) Prec@1 44.531 (47.529) Prec@5 70.703 (72.917)
Epoch: [104][4100/5005] Time 0.203 (0.210) Data 0.053 (0.047) Loss 2.1722 (2.2896) Prec@1 46.484 (47.527) Prec@5 75.391 (72.916)
Epoch: [104][4110/5005] Time 0.205 (0.210) Data 0.046 (0.047) Loss 2.4646 (2.2896) Prec@1 39.453 (47.527) Prec@5 70.312 (72.917)
Epoch: [104][4120/5005] Time 0.203 (0.210) Data 0.045 (0.047) Loss 2.4516 (2.2895) Prec@1 47.656 (47.531) Prec@5 71.875 (72.917)
Epoch: [104][4130/5005] Time 0.205 (0.210) Data 0.049 (0.047) Loss 2.5759 (2.2893) Prec@1 42.578 (47.535) Prec@5 70.312 (72.921)
Epoch: [104][4140/5005] Time 0.212 (0.210) Data 0.045 (0.047) Loss 2.3216 (2.2893) Prec@1 49.609 (47.539) Prec@5 69.531 (72.920)
Epoch: [104][4150/5005] Time 0.198 (0.210) Data 0.045 (0.047) Loss 2.4142 (2.2893) Prec@1 46.094 (47.536) Prec@5 73.047 (72.921)
Epoch: [104][4160/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.2786 (2.2895) Prec@1 48.438 (47.534) Prec@5 73.438 (72.917)
Epoch: [104][4170/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.2235 (2.2893) Prec@1 47.656 (47.537) Prec@5 74.609 (72.921)
Epoch: [104][4180/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.1563 (2.2892) Prec@1 51.562 (47.539) Prec@5 74.219 (72.921)
Epoch: [104][4190/5005] Time 0.204 (0.210) Data 0.045 (0.047) Loss 2.1189 (2.2893) Prec@1 50.781 (47.537) Prec@5 75.000 (72.919)
Epoch: [104][4200/5005] Time 0.215 (0.210) Data 0.044 (0.047) Loss 2.1096 (2.2892) Prec@1 51.562 (47.538) Prec@5 75.000 (72.922)
Epoch: [104][4210/5005] Time 0.206 (0.210) Data 0.042 (0.047) Loss 2.1220 (2.2891) Prec@1 53.906 (47.542) Prec@5 76.172 (72.923)
Epoch: [104][4220/5005] Time 0.211 (0.210) Data 0.044 (0.047) Loss 2.4202 (2.2892) Prec@1 44.922 (47.542) Prec@5 73.438 (72.919)
Epoch: [104][4230/5005] Time 0.201 (0.210) Data 0.040 (0.047) Loss 2.4924 (2.2893) Prec@1 40.625 (47.542) Prec@5 69.531 (72.918)
Epoch: [104][4240/5005] Time 0.206 (0.210) Data 0.050 (0.047) Loss 2.1903 (2.2893) Prec@1 48.828 (47.540) Prec@5 76.562 (72.918)
Epoch: [104][4250/5005] Time 0.208 (0.210) Data 0.062 (0.047) Loss 2.1417 (2.2891) Prec@1 50.781 (47.541) Prec@5 75.391 (72.920)
Epoch: [104][4260/5005] Time 0.203 (0.210) Data 0.052 (0.047) Loss 2.1629 (2.2891) Prec@1 48.828 (47.543) Prec@5 76.562 (72.921)
Epoch: [104][4270/5005] Time 0.196 (0.210) Data 0.059 (0.047) Loss 2.4099 (2.2892) Prec@1 45.312 (47.543) Prec@5 71.484 (72.917)
Epoch: [104][4280/5005] Time 0.197 (0.210) Data 0.058 (0.047) Loss 2.3966 (2.2892) Prec@1 45.703 (47.545) Prec@5 72.656 (72.914)
Epoch: [104][4290/5005] Time 0.208 (0.210) Data 0.048 (0.047) Loss 2.4892 (2.2893) Prec@1 44.531 (47.545) Prec@5 71.094 (72.913)
Epoch: [104][4300/5005] Time 0.212 (0.210) Data 0.041 (0.047) Loss 2.0793 (2.2891) Prec@1 49.219 (47.547) Prec@5 77.734 (72.919)
Epoch: [104][4310/5005] Time 0.198 (0.210) Data 0.050 (0.047) Loss 2.2029 (2.2891) Prec@1 51.172 (47.549) Prec@5 73.047 (72.919)
Epoch: [104][4320/5005] Time 0.204 (0.210) Data 0.051 (0.047) Loss 2.2763 (2.2891) Prec@1 47.266 (47.550) Prec@5 73.438 (72.921)
Epoch: [104][4330/5005] Time 0.211 (0.210) Data 0.047 (0.047) Loss 2.1311 (2.2890) Prec@1 51.172 (47.551) Prec@5 73.438 (72.922)
Epoch: [104][4340/5005] Time 0.203 (0.210) Data 0.041 (0.047) Loss 2.2454 (2.2890) Prec@1 47.656 (47.551) Prec@5 75.000 (72.925)
Epoch: [104][4350/5005] Time 0.193 (0.210) Data 0.043 (0.047) Loss 2.3868 (2.2890) Prec@1 46.094 (47.551) Prec@5 73.828 (72.926)
Epoch: [104][4360/5005] Time 0.206 (0.210) Data 0.044 (0.047) Loss 2.0478 (2.2889) Prec@1 49.609 (47.555) Prec@5 77.344 (72.927)
Epoch: [104][4370/5005] Time 0.203 (0.210) Data 0.056 (0.047) Loss 2.1949 (2.2889) Prec@1 49.219 (47.555) Prec@5 75.391 (72.928)
Epoch: [104][4380/5005] Time 0.197 (0.210) Data 0.046 (0.047) Loss 2.3159 (2.2889) Prec@1 45.312 (47.555) Prec@5 73.047 (72.929)
Epoch: [104][4390/5005] Time 0.218 (0.210) Data 0.046 (0.047) Loss 2.3990 (2.2888) Prec@1 46.094 (47.558) Prec@5 71.875 (72.929)
Epoch: [104][4400/5005] Time 0.213 (0.210) Data 0.042 (0.047) Loss 2.1850 (2.2888) Prec@1 47.266 (47.559) Prec@5 75.000 (72.929)
Epoch: [104][4410/5005] Time 0.204 (0.210) Data 0.047 (0.047) Loss 2.2450 (2.2887) Prec@1 49.219 (47.558) Prec@5 74.219 (72.929)
Epoch: [104][4420/5005] Time 0.210 (0.210) Data 0.043 (0.047) Loss 2.0020 (2.2886) Prec@1 52.734 (47.562) Prec@5 77.734 (72.932)
Epoch: [104][4430/5005] Time 0.206 (0.210) Data 0.044 (0.047) Loss 2.3766 (2.2884) Prec@1 43.750 (47.567) Prec@5 69.141 (72.932)
Epoch: [104][4440/5005] Time 0.206 (0.210) Data 0.048 (0.047) Loss 2.2512 (2.2883) Prec@1 44.922 (47.565) Prec@5 73.438 (72.935)
Epoch: [104][4450/5005] Time 0.211 (0.210) Data 0.048 (0.047) Loss 2.1457 (2.2883) Prec@1 47.656 (47.564) Prec@5 78.906 (72.937)
Epoch: [104][4460/5005] Time 0.205 (0.210) Data 0.046 (0.047) Loss 2.3392 (2.2881) Prec@1 48.047 (47.564) Prec@5 71.875 (72.938)
Epoch: [104][4470/5005] Time 0.207 (0.210) Data 0.045 (0.047) Loss 2.1816 (2.2882) Prec@1 50.000 (47.563) Prec@5 76.172 (72.937)
Epoch: [104][4480/5005] Time 0.211 (0.210) Data 0.044 (0.047) Loss 2.0135 (2.2884) Prec@1 50.781 (47.560) Prec@5 77.344 (72.934)
Epoch: [104][4490/5005] Time 0.203 (0.210) Data 0.042 (0.047) Loss 2.2514 (2.2885) Prec@1 49.219 (47.556) Prec@5 72.266 (72.931)
Epoch: [104][4500/5005] Time 0.207 (0.210) Data 0.044 (0.047) Loss 2.2068 (2.2884) Prec@1 48.828 (47.556) Prec@5 75.781 (72.934)
Epoch: [104][4510/5005] Time 0.208 (0.210) Data 0.045 (0.047) Loss 2.0345 (2.2884) Prec@1 50.391 (47.558) Prec@5 77.734 (72.935)
Epoch: [104][4520/5005] Time 0.204 (0.210) Data 0.045 (0.047) Loss 2.2433 (2.2882) Prec@1 53.906 (47.561) Prec@5 73.438 (72.938)
Epoch: [104][4530/5005] Time 0.205 (0.210) Data 0.042 (0.047) Loss 2.2195 (2.2882) Prec@1 49.609 (47.562) Prec@5 76.172 (72.939)
Epoch: [104][4540/5005] Time 0.211 (0.210) Data 0.049 (0.047) Loss 2.3075 (2.2883) Prec@1 49.219 (47.562) Prec@5 73.828 (72.938)
Epoch: [104][4550/5005] Time 0.209 (0.210) Data 0.046 (0.047) Loss 2.3145 (2.2882) Prec@1 46.484 (47.560) Prec@5 70.703 (72.939)
Epoch: [104][4560/5005] Time 0.213 (0.210) Data 0.048 (0.047) Loss 2.2515 (2.2882) Prec@1 46.484 (47.563) Prec@5 75.000 (72.940)
Epoch: [104][4570/5005] Time 0.209 (0.210) Data 0.053 (0.047) Loss 2.3397 (2.2880) Prec@1 47.656 (47.565) Prec@5 71.875 (72.941)
Epoch: [104][4580/5005] Time 0.199 (0.210) Data 0.055 (0.047) Loss 2.3085 (2.2880) Prec@1 43.359 (47.568) Prec@5 71.875 (72.942)
Epoch: [104][4590/5005] Time 0.208 (0.210) Data 0.066 (0.047) Loss 2.0411 (2.2880) Prec@1 48.438 (47.568) Prec@5 80.078 (72.942)
Epoch: [104][4600/5005] Time 0.203 (0.210) Data 0.059 (0.047) Loss 2.0778 (2.2880) Prec@1 53.516 (47.570) Prec@5 74.609 (72.941)
Epoch: [104][4610/5005] Time 0.210 (0.210) Data 0.046 (0.047) Loss 2.0881 (2.2881) Prec@1 50.391 (47.571) Prec@5 78.516 (72.942)
Epoch: [104][4620/5005] Time 0.203 (0.210) Data 0.042 (0.047) Loss 2.2500 (2.2881) Prec@1 46.875 (47.571) Prec@5 71.484 (72.940)
Epoch: [104][4630/5005] Time 0.218 (0.210) Data 0.043 (0.047) Loss 2.0660 (2.2879) Prec@1 52.734 (47.575) Prec@5 76.562 (72.943)
Epoch: [104][4640/5005] Time 0.204 (0.210) Data 0.042 (0.047) Loss 2.2671 (2.2879) Prec@1 50.391 (47.577) Prec@5 72.656 (72.944)
Epoch: [104][4650/5005] Time 0.200 (0.210) Data 0.044 (0.047) Loss 2.2687 (2.2878) Prec@1 49.219 (47.580) Prec@5 71.094 (72.945)
Epoch: [104][4660/5005] Time 0.205 (0.210) Data 0.046 (0.047) Loss 2.4128 (2.2878) Prec@1 46.094 (47.579) Prec@5 70.312 (72.945)
Epoch: [104][4670/5005] Time 0.199 (0.210) Data 0.049 (0.047) Loss 2.2274 (2.2876) Prec@1 42.969 (47.581) Prec@5 74.219 (72.948)
Epoch: [104][4680/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.0968 (2.2875) Prec@1 47.266 (47.584) Prec@5 77.734 (72.949)
Epoch: [104][4690/5005] Time 0.213 (0.210) Data 0.048 (0.047) Loss 2.2410 (2.2875) Prec@1 48.828 (47.585) Prec@5 76.172 (72.950)
Epoch: [104][4700/5005] Time 0.201 (0.210) Data 0.046 (0.047) Loss 2.3382 (2.2875) Prec@1 50.000 (47.587) Prec@5 70.312 (72.950)
Epoch: [104][4710/5005] Time 0.212 (0.210) Data 0.048 (0.047) Loss 2.1308 (2.2873) Prec@1 50.391 (47.590) Prec@5 75.000 (72.954)
Epoch: [104][4720/5005] Time 0.210 (0.210) Data 0.041 (0.047) Loss 2.1259 (2.2873) Prec@1 52.344 (47.591) Prec@5 78.125 (72.953)
Epoch: [104][4730/5005] Time 0.198 (0.210) Data 0.047 (0.047) Loss 2.2924 (2.2874) Prec@1 47.266 (47.588) Prec@5 74.609 (72.953)
Epoch: [104][4740/5005] Time 0.199 (0.210) Data 0.049 (0.047) Loss 2.1678 (2.2874) Prec@1 47.656 (47.589) Prec@5 78.906 (72.955)
Epoch: [104][4750/5005] Time 0.210 (0.210) Data 0.046 (0.047) Loss 2.2356 (2.2873) Prec@1 49.219 (47.588) Prec@5 73.047 (72.955)
Epoch: [104][4760/5005] Time 0.210 (0.210) Data 0.039 (0.047) Loss 2.5162 (2.2872) Prec@1 41.797 (47.589) Prec@5 67.969 (72.954)
Epoch: [104][4770/5005] Time 0.210 (0.210) Data 0.046 (0.047) Loss 2.1436 (2.2872) Prec@1 51.172 (47.587) Prec@5 73.438 (72.954)
Epoch: [104][4780/5005] Time 0.201 (0.210) Data 0.047 (0.047) Loss 2.3156 (2.2872) Prec@1 46.875 (47.589) Prec@5 73.438 (72.955)
Epoch: [104][4790/5005] Time 0.217 (0.210) Data 0.042 (0.047) Loss 2.6112 (2.2873) Prec@1 42.188 (47.591) Prec@5 66.406 (72.954)
Epoch: [104][4800/5005] Time 0.206 (0.210) Data 0.040 (0.047) Loss 2.3902 (2.2872) Prec@1 44.141 (47.590) Prec@5 74.609 (72.958)
Epoch: [104][4810/5005] Time 0.216 (0.209) Data 0.042 (0.047) Loss 2.3908 (2.2871) Prec@1 43.750 (47.591) Prec@5 72.266 (72.959)
Epoch: [104][4820/5005] Time 0.210 (0.209) Data 0.041 (0.047) Loss 2.3536 (2.2870) Prec@1 49.219 (47.594) Prec@5 69.141 (72.961)
Epoch: [104][4830/5005] Time 0.204 (0.209) Data 0.042 (0.047) Loss 2.3817 (2.2869) Prec@1 46.094 (47.595) Prec@5 73.047 (72.962)
Epoch: [104][4840/5005] Time 0.215 (0.209) Data 0.043 (0.047) Loss 2.1120 (2.2869) Prec@1 51.562 (47.596) Prec@5 75.391 (72.959)
Epoch: [104][4850/5005] Time 0.204 (0.209) Data 0.047 (0.047) Loss 2.4069 (2.2871) Prec@1 46.484 (47.592) Prec@5 72.266 (72.955)
Epoch: [104][4860/5005] Time 0.206 (0.209) Data 0.045 (0.047) Loss 2.3531 (2.2871) Prec@1 48.828 (47.594) Prec@5 71.875 (72.956)
Epoch: [104][4870/5005] Time 0.204 (0.209) Data 0.039 (0.047) Loss 2.0854 (2.2871) Prec@1 55.078 (47.596) Prec@5 74.219 (72.954)
Epoch: [104][4880/5005] Time 0.203 (0.209) Data 0.042 (0.047) Loss 2.1448 (2.2869) Prec@1 50.391 (47.600) Prec@5 75.000 (72.956)
Epoch: [104][4890/5005] Time 0.207 (0.209) Data 0.047 (0.047) Loss 2.3608 (2.2869) Prec@1 47.656 (47.600) Prec@5 71.094 (72.956)
Epoch: [104][4900/5005] Time 0.203 (0.209) Data 0.041 (0.047) Loss 2.1346 (2.2868) Prec@1 50.781 (47.600) Prec@5 74.609 (72.958)
Epoch: [104][4910/5005] Time 0.207 (0.209) Data 0.041 (0.047) Loss 2.2198 (2.2866) Prec@1 45.703 (47.602) Prec@5 76.562 (72.962)
Epoch: [104][4920/5005] Time 0.206 (0.209) Data 0.044 (0.047) Loss 2.2925 (2.2866) Prec@1 50.781 (47.604) Prec@5 74.609 (72.964)
Epoch: [104][4930/5005] Time 0.208 (0.209) Data 0.042 (0.047) Loss 2.3494 (2.2865) Prec@1 50.000 (47.605) Prec@5 71.094 (72.967)
Epoch: [104][4940/5005] Time 0.203 (0.209) Data 0.045 (0.047) Loss 2.3003 (2.2865) Prec@1 47.656 (47.605) Prec@5 73.828 (72.965)
Epoch: [104][4950/5005] Time 0.212 (0.209) Data 0.045 (0.047) Loss 2.0132 (2.2866) Prec@1 50.391 (47.603) Prec@5 78.906 (72.962)
Epoch: [104][4960/5005] Time 0.210 (0.209) Data 0.044 (0.047) Loss 2.2882 (2.2867) Prec@1 49.219 (47.604) Prec@5 73.047 (72.963)
Epoch: [104][4970/5005] Time 0.218 (0.209) Data 0.044 (0.047) Loss 2.4405 (2.2866) Prec@1 44.531 (47.606) Prec@5 71.094 (72.964)
Epoch: [104][4980/5005] Time 0.214 (0.209) Data 0.048 (0.047) Loss 2.2632 (2.2864) Prec@1 47.656 (47.608) Prec@5 77.344 (72.968)
Epoch: [104][4990/5005] Time 0.208 (0.209) Data 0.022 (0.047) Loss 2.4176 (2.2864) Prec@1 43.359 (47.608) Prec@5 67.578 (72.968)
Epoch: [104][5000/5005] Time 0.205 (0.209) Data 0.021 (0.047) Loss 2.3352 (2.2864) Prec@1 48.047 (47.608) Prec@5 70.703 (72.968)
Test: [0/196] Time 1.276 (1.276) Loss 2.3966 (2.3966) Prec@1 51.172 (51.172) Prec@5 72.266 (72.266)
Test: [10/196] Time 0.045 (0.333) Loss 2.4991 (2.5773) Prec@1 46.875 (44.567) Prec@5 70.312 (68.750)
Test: [20/196] Time 0.045 (0.228) Loss 2.4973 (2.5816) Prec@1 47.266 (43.973) Prec@5 70.703 (68.936)
Test: [30/196] Time 0.042 (0.204) Loss 2.4621 (2.5811) Prec@1 41.406 (43.977) Prec@5 72.656 (68.952)
Test: [40/196] Time 0.045 (0.202) Loss 2.3530 (2.5784) Prec@1 52.344 (44.264) Prec@5 73.828 (69.226)
Test: [50/196] Time 0.042 (0.198) Loss 2.6543 (2.5796) Prec@1 42.578 (44.202) Prec@5 68.359 (69.347)
Test: [60/196] Time 0.042 (0.189) Loss 2.4979 (2.5619) Prec@1 46.875 (44.531) Prec@5 69.141 (69.544)
Test: [70/196] Time 0.044 (0.189) Loss 2.5206 (2.5547) Prec@1 46.094 (44.581) Prec@5 69.922 (69.625)
Test: [80/196] Time 0.456 (0.190) Loss 2.4709 (2.5621) Prec@1 50.781 (44.473) Prec@5 71.875 (69.502)
Test: [90/196] Time 0.679 (0.186) Loss 2.6844 (2.5648) Prec@1 46.484 (44.471) Prec@5 67.188 (69.536)
Test: [100/196] Time 0.046 (0.184) Loss 2.5920 (2.5634) Prec@1 44.141 (44.551) Prec@5 68.359 (69.527)
Test: [110/196] Time 0.042 (0.183) Loss 2.8010 (2.5663) Prec@1 39.062 (44.503) Prec@5 64.062 (69.475)
Test: [120/196] Time 0.112 (0.181) Loss 2.4048 (2.5635) Prec@1 45.312 (44.560) Prec@5 72.266 (69.528)
Test: [130/196] Time 0.045 (0.181) Loss 2.2788 (2.5598) Prec@1 48.828 (44.636) Prec@5 75.391 (69.618)
Test: [140/196] Time 0.043 (0.183) Loss 2.4070 (2.5624) Prec@1 46.875 (44.551) Prec@5 68.359 (69.515)
Test: [150/196] Time 0.041 (0.182) Loss 2.2430 (2.5606) Prec@1 47.266 (44.570) Prec@5 78.125 (69.596)
Test: [160/196] Time 0.176 (0.180) Loss 2.4946 (2.5595) Prec@1 47.656 (44.592) Prec@5 70.703 (69.575)
Test: [170/196] Time 0.176 (0.180) Loss 2.4679 (2.5618) Prec@1 47.656 (44.550) Prec@5 73.828 (69.547)
Test: [180/196] Time 0.773 (0.182) Loss 2.7359 (2.5659) Prec@1 41.016 (44.456) Prec@5 67.188 (69.490)
Test: [190/196] Time 0.137 (0.180) Loss 2.7570 (2.5686) Prec@1 42.578 (44.433) Prec@5 66.016 (69.404)
* Prec@1 44.424 Prec@5 69.432
Learning rate: 1e-07
Epoch: [105][0/5005] Time 1.051 (1.051) Data 0.936 (0.936) Loss 2.2046 (2.2046) Prec@1 49.219 (49.219) Prec@5 76.562 (76.562)
Epoch: [105][10/5005] Time 0.203 (0.289) Data 0.047 (0.140) Loss 2.2103 (2.3056) Prec@1 52.734 (47.514) Prec@5 73.828 (72.550)
Epoch: [105][20/5005] Time 0.205 (0.248) Data 0.046 (0.095) Loss 2.4088 (2.3171) Prec@1 47.656 (47.061) Prec@5 75.000 (72.396)
Epoch: [105][30/5005] Time 0.204 (0.234) Data 0.044 (0.079) Loss 2.1357 (2.2796) Prec@1 49.609 (47.845) Prec@5 74.219 (72.933)
Epoch: [105][40/5005] Time 0.209 (0.227) Data 0.043 (0.071) Loss 2.2232 (2.2862) Prec@1 45.703 (47.389) Prec@5 76.172 (72.961)
Epoch: [105][50/5005] Time 0.201 (0.222) Data 0.045 (0.066) Loss 2.1631 (2.2880) Prec@1 46.875 (47.312) Prec@5 74.609 (72.963)
Epoch: [105][60/5005] Time 0.197 (0.219) Data 0.057 (0.063) Loss 2.2308 (2.2933) Prec@1 44.141 (47.182) Prec@5 74.609 (72.874)
Epoch: [105][70/5005] Time 0.207 (0.217) Data 0.041 (0.060) Loss 2.2525 (2.3054) Prec@1 42.969 (46.991) Prec@5 73.047 (72.788)
Epoch: [105][80/5005] Time 0.194 (0.215) Data 0.048 (0.059) Loss 2.2423 (2.3013) Prec@1 48.047 (47.068) Prec@5 74.219 (72.921)
Epoch: [105][90/5005] Time 0.198 (0.213) Data 0.047 (0.058) Loss 2.2762 (2.2989) Prec@1 54.688 (47.287) Prec@5 73.047 (72.905)
Epoch: [105][100/5005] Time 0.207 (0.212) Data 0.052 (0.058) Loss 2.1128 (2.2997) Prec@1 48.828 (47.351) Prec@5 73.828 (72.869)
Epoch: [105][110/5005] Time 0.202 (0.211) Data 0.052 (0.057) Loss 2.3518 (2.3014) Prec@1 48.438 (47.403) Prec@5 71.094 (72.843)
Epoch: [105][120/5005] Time 0.200 (0.210) Data 0.045 (0.056) Loss 2.3678 (2.3055) Prec@1 46.094 (47.343) Prec@5 72.266 (72.750)
Epoch: [105][130/5005] Time 0.196 (0.210) Data 0.048 (0.055) Loss 2.4436 (2.3031) Prec@1 48.438 (47.474) Prec@5 69.531 (72.758)
Epoch: [105][140/5005] Time 0.191 (0.209) Data 0.042 (0.055) Loss 2.3956 (2.3025) Prec@1 46.875 (47.407) Prec@5 69.141 (72.734)
Epoch: [105][150/5005] Time 0.192 (0.208) Data 0.055 (0.055) Loss 2.4575 (2.3043) Prec@1 45.312 (47.465) Prec@5 68.750 (72.664)
Epoch: [105][160/5005] Time 0.213 (0.208) Data 0.043 (0.054) Loss 2.2855 (2.3055) Prec@1 46.484 (47.445) Prec@5 73.438 (72.700)
Epoch: [105][170/5005] Time 0.214 (0.208) Data 0.043 (0.054) Loss 2.4704 (2.3051) Prec@1 46.484 (47.492) Prec@5 71.484 (72.750)
Epoch: [105][180/5005] Time 0.220 (0.209) Data 0.044 (0.053) Loss 2.4429 (2.3033) Prec@1 49.219 (47.553) Prec@5 70.703 (72.758)
Epoch: [105][190/5005] Time 0.220 (0.209) Data 0.044 (0.053) Loss 2.4311 (2.3088) Prec@1 46.094 (47.460) Prec@5 72.656 (72.671)
Epoch: [105][200/5005] Time 0.223 (0.210) Data 0.049 (0.052) Loss 2.5102 (2.3120) Prec@1 39.062 (47.435) Prec@5 71.094 (72.598)
Epoch: [105][210/5005] Time 0.219 (0.210) Data 0.044 (0.052) Loss 2.1546 (2.3112) Prec@1 49.219 (47.436) Prec@5 79.297 (72.638)
Epoch: [105][220/5005] Time 0.224 (0.211) Data 0.044 (0.052) Loss 2.3300 (2.3109) Prec@1 46.484 (47.396) Prec@5 74.609 (72.619)
Epoch: [105][230/5005] Time 0.209 (0.211) Data 0.048 (0.052) Loss 2.4408 (2.3113) Prec@1 44.922 (47.430) Prec@5 67.578 (72.651)
Epoch: [105][240/5005] Time 0.215 (0.211) Data 0.043 (0.052) Loss 2.2176 (2.3106) Prec@1 48.438 (47.413) Prec@5 75.000 (72.685)
Epoch: [105][250/5005] Time 0.217 (0.212) Data 0.059 (0.052) Loss 2.3339 (2.3091) Prec@1 44.922 (47.448) Prec@5 74.219 (72.747)
Epoch: [105][260/5005] Time 0.223 (0.212) Data 0.046 (0.051) Loss 2.1052 (2.3080) Prec@1 49.609 (47.457) Prec@5 78.125 (72.760)
Epoch: [105][270/5005] Time 0.218 (0.212) Data 0.043 (0.051) Loss 2.3489 (2.3076) Prec@1 44.531 (47.447) Prec@5 73.438 (72.774)
Epoch: [105][280/5005] Time 0.217 (0.212) Data 0.043 (0.051) Loss 2.5467 (2.3094) Prec@1 41.797 (47.430) Prec@5 69.141 (72.713)
Epoch: [105][290/5005] Time 0.208 (0.212) Data 0.045 (0.051) Loss 2.2273 (2.3104) Prec@1 50.781 (47.408) Prec@5 72.656 (72.680)
Epoch: [105][300/5005] Time 0.216 (0.212) Data 0.043 (0.051) Loss 2.2226 (2.3098) Prec@1 52.344 (47.437) Prec@5 71.875 (72.668)
Epoch: [105][310/5005] Time 0.208 (0.212) Data 0.063 (0.051) Loss 2.2461 (2.3071) Prec@1 50.391 (47.464) Prec@5 74.219 (72.722)
Epoch: [105][320/5005] Time 0.217 (0.212) Data 0.045 (0.051) Loss 2.5894 (2.3083) Prec@1 43.359 (47.483) Prec@5 69.141 (72.715)
Epoch: [105][330/5005] Time 0.212 (0.212) Data 0.042 (0.050) Loss 2.0099 (2.3072) Prec@1 51.953 (47.491) Prec@5 75.391 (72.712)
Epoch: [105][340/5005] Time 0.211 (0.212) Data 0.047 (0.050) Loss 2.5468 (2.3107) Prec@1 42.969 (47.413) Prec@5 70.703 (72.667)
Epoch: [105][350/5005] Time 0.209 (0.212) Data 0.045 (0.050) Loss 2.5156 (2.3103) Prec@1 44.922 (47.416) Prec@5 70.312 (72.651)
Epoch: [105][360/5005] Time 0.209 (0.213) Data 0.045 (0.050) Loss 2.5095 (2.3110) Prec@1 42.969 (47.397) Prec@5 68.359 (72.621)
Epoch: [105][370/5005] Time 0.217 (0.212) Data 0.048 (0.050) Loss 2.4940 (2.3105) Prec@1 41.797 (47.386) Prec@5 71.484 (72.612)
Epoch: [105][380/5005] Time 0.217 (0.212) Data 0.046 (0.050) Loss 2.3743 (2.3102) Prec@1 46.484 (47.378) Prec@5 70.312 (72.603)
Epoch: [105][390/5005] Time 0.216 (0.212) Data 0.042 (0.050) Loss 2.2828 (2.3105) Prec@1 46.875 (47.370) Prec@5 73.438 (72.579)
Epoch: [105][400/5005] Time 0.215 (0.213) Data 0.044 (0.050) Loss 2.2147 (2.3093) Prec@1 48.047 (47.371) Prec@5 74.219 (72.608)
Epoch: [105][410/5005] Time 0.213 (0.213) Data 0.044 (0.049) Loss 2.1375 (2.3082) Prec@1 45.312 (47.408) Prec@5 75.781 (72.637)
Epoch: [105][420/5005] Time 0.213 (0.213) Data 0.042 (0.049) Loss 2.2812 (2.3070) Prec@1 44.531 (47.430) Prec@5 73.047 (72.666)
Epoch: [105][430/5005] Time 0.214 (0.213) Data 0.043 (0.049) Loss 2.2171 (2.3075) Prec@1 49.219 (47.427) Prec@5 76.562 (72.651)
Epoch: [105][440/5005] Time 0.213 (0.213) Data 0.043 (0.049) Loss 2.1316 (2.3064) Prec@1 51.562 (47.424) Prec@5 78.906 (72.687)
Epoch: [105][450/5005] Time 0.218 (0.213) Data 0.043 (0.049) Loss 2.1550 (2.3073) Prec@1 46.484 (47.378) Prec@5 75.000 (72.668)
Epoch: [105][460/5005] Time 0.213 (0.213) Data 0.044 (0.049) Loss 2.2834 (2.3079) Prec@1 44.531 (47.349) Prec@5 73.047 (72.664)
Epoch: [105][470/5005] Time 0.210 (0.213) Data 0.044 (0.049) Loss 2.2738 (2.3090) Prec@1 46.094 (47.325) Prec@5 74.219 (72.655)
Epoch: [105][480/5005] Time 0.205 (0.213) Data 0.041 (0.049) Loss 2.3182 (2.3087) Prec@1 46.484 (47.314) Prec@5 71.875 (72.653)
Epoch: [105][490/5005] Time 0.211 (0.213) Data 0.043 (0.049) Loss 2.3215 (2.3099) Prec@1 48.438 (47.264) Prec@5 70.703 (72.629)
Epoch: [105][500/5005] Time 0.214 (0.213) Data 0.041 (0.048) Loss 2.2820 (2.3112) Prec@1 46.484 (47.258) Prec@5 73.438 (72.616)
Epoch: [105][510/5005] Time 0.207 (0.213) Data 0.044 (0.048) Loss 2.7000 (2.3115) Prec@1 38.672 (47.229) Prec@5 65.625 (72.606)
Epoch: [105][520/5005] Time 0.215 (0.213) Data 0.044 (0.048) Loss 2.5756 (2.3116) Prec@1 43.359 (47.225) Prec@5 69.141 (72.608)
Epoch: [105][530/5005] Time 0.210 (0.213) Data 0.041 (0.048) Loss 2.2552 (2.3114) Prec@1 48.828 (47.214) Prec@5 70.312 (72.603)
Epoch: [105][540/5005] Time 0.214 (0.213) Data 0.043 (0.048) Loss 2.4744 (2.3122) Prec@1 43.750 (47.198) Prec@5 67.188 (72.580)
Epoch: [105][550/5005] Time 0.213 (0.213) Data 0.044 (0.048) Loss 2.4606 (2.3127) Prec@1 42.188 (47.195) Prec@5 70.312 (72.563)
Epoch: [105][560/5005] Time 0.216 (0.213) Data 0.045 (0.048) Loss 2.4372 (2.3124) Prec@1 45.703 (47.200) Prec@5 71.484 (72.586)
Epoch: [105][570/5005] Time 0.215 (0.213) Data 0.048 (0.048) Loss 2.2714 (2.3134) Prec@1 49.219 (47.176) Prec@5 73.828 (72.572)
Epoch: [105][580/5005] Time 0.211 (0.213) Data 0.061 (0.048) Loss 2.3852 (2.3127) Prec@1 46.484 (47.189) Prec@5 70.703 (72.570)
Epoch: [105][590/5005] Time 0.212 (0.213) Data 0.068 (0.048) Loss 2.4782 (2.3127) Prec@1 44.922 (47.196) Prec@5 71.094 (72.561)
Epoch: [105][600/5005] Time 0.213 (0.213) Data 0.050 (0.048) Loss 2.0686 (2.3134) Prec@1 53.516 (47.192) Prec@5 76.953 (72.560)
Epoch: [105][610/5005] Time 0.208 (0.213) Data 0.045 (0.048) Loss 2.2082 (2.3137) Prec@1 48.047 (47.188) Prec@5 71.484 (72.558)
Epoch: [105][620/5005] Time 0.215 (0.213) Data 0.043 (0.048) Loss 2.3621 (2.3131) Prec@1 47.656 (47.218) Prec@5 73.047 (72.568)
Epoch: [105][630/5005] Time 0.209 (0.213) Data 0.046 (0.048) Loss 2.5044 (2.3134) Prec@1 43.750 (47.232) Prec@5 70.703 (72.571)
Epoch: [105][640/5005] Time 0.218 (0.213) Data 0.041 (0.048) Loss 2.2520 (2.3130) Prec@1 50.781 (47.241) Prec@5 72.266 (72.594)
Epoch: [105][650/5005] Time 0.212 (0.213) Data 0.046 (0.048) Loss 2.3935 (2.3138) Prec@1 42.969 (47.223) Prec@5 69.922 (72.569)
Epoch: [105][660/5005] Time 0.213 (0.213) Data 0.043 (0.048) Loss 2.4253 (2.3138) Prec@1 43.750 (47.220) Prec@5 69.922 (72.569)
Epoch: [105][670/5005] Time 0.213 (0.213) Data 0.044 (0.048) Loss 2.6476 (2.3139) Prec@1 43.359 (47.228) Prec@5 67.578 (72.558)
Epoch: [105][680/5005] Time 0.216 (0.213) Data 0.046 (0.048) Loss 2.2495 (2.3139) Prec@1 49.219 (47.217) Prec@5 73.828 (72.563)
Epoch: [105][690/5005] Time 0.212 (0.213) Data 0.044 (0.048) Loss 2.1938 (2.3125) Prec@1 48.438 (47.233) Prec@5 75.391 (72.588)
Epoch: [105][700/5005] Time 0.212 (0.213) Data 0.058 (0.048) Loss 2.4804 (2.3125) Prec@1 43.750 (47.219) Prec@5 70.703 (72.598)
Epoch: [105][710/5005] Time 0.210 (0.213) Data 0.044 (0.048) Loss 2.1523 (2.3118) Prec@1 48.828 (47.228) Prec@5 75.781 (72.604)
Epoch: [105][720/5005] Time 0.222 (0.213) Data 0.054 (0.048) Loss 2.2839 (2.3107) Prec@1 48.828 (47.243) Prec@5 73.828 (72.624)
Epoch: [105][730/5005] Time 0.196 (0.212) Data 0.062 (0.048) Loss 2.4577 (2.3109) Prec@1 47.656 (47.246) Prec@5 71.875 (72.618)
Epoch: [105][740/5005] Time 0.223 (0.212) Data 0.040 (0.048) Loss 2.3683 (2.3110) Prec@1 47.266 (47.259) Prec@5 67.969 (72.607)
Epoch: [105][750/5005] Time 0.194 (0.212) Data 0.043 (0.048) Loss 2.2367 (2.3109) Prec@1 48.438 (47.257) Prec@5 75.000 (72.623)
Epoch: [105][760/5005] Time 0.220 (0.212) Data 0.045 (0.048) Loss 2.3840 (2.3113) Prec@1 50.000 (47.253) Prec@5 71.875 (72.613)
Epoch: [105][770/5005] Time 0.198 (0.212) Data 0.042 (0.048) Loss 2.2912 (2.3103) Prec@1 48.047 (47.283) Prec@5 72.266 (72.626)
Epoch: [105][780/5005] Time 0.208 (0.212) Data 0.043 (0.048) Loss 2.3834 (2.3103) Prec@1 48.438 (47.279) Prec@5 69.531 (72.615)
Epoch: [105][790/5005] Time 0.211 (0.212) Data 0.050 (0.048) Loss 2.1748 (2.3097) Prec@1 50.391 (47.315) Prec@5 76.172 (72.630)
Epoch: [105][800/5005] Time 0.211 (0.212) Data 0.044 (0.048) Loss 2.1183 (2.3089) Prec@1 56.641 (47.337) Prec@5 75.391 (72.637)
Epoch: [105][810/5005] Time 0.215 (0.212) Data 0.044 (0.048) Loss 2.3841 (2.3087) Prec@1 44.141 (47.347) Prec@5 71.094 (72.644)
Epoch: [105][820/5005] Time 0.213 (0.212) Data 0.043 (0.048) Loss 2.3428 (2.3088) Prec@1 46.094 (47.334) Prec@5 69.531 (72.646)
Epoch: [105][830/5005] Time 0.213 (0.212) Data 0.044 (0.048) Loss 2.3397 (2.3086) Prec@1 46.875 (47.338) Prec@5 71.875 (72.646)
Epoch: [105][840/5005] Time 0.207 (0.212) Data 0.041 (0.048) Loss 2.2722 (2.3087) Prec@1 50.000 (47.343) Prec@5 72.266 (72.656)
Epoch: [105][850/5005] Time 0.211 (0.212) Data 0.047 (0.047) Loss 2.6061 (2.3086) Prec@1 39.062 (47.344) Prec@5 69.922 (72.657)
Epoch: [105][860/5005] Time 0.214 (0.212) Data 0.043 (0.047) Loss 2.2356 (2.3084) Prec@1 47.656 (47.338) Prec@5 72.656 (72.662)
Epoch: [105][870/5005] Time 0.210 (0.212) Data 0.042 (0.047) Loss 2.3068 (2.3074) Prec@1 44.922 (47.348) Prec@5 71.484 (72.673)
Epoch: [105][880/5005] Time 0.214 (0.212) Data 0.044 (0.047) Loss 2.2215 (2.3079) Prec@1 47.266 (47.337) Prec@5 73.828 (72.662)
Epoch: [105][890/5005] Time 0.213 (0.212) Data 0.041 (0.047) Loss 2.7059 (2.3076) Prec@1 44.531 (47.336) Prec@5 66.406 (72.666)
Epoch: [105][900/5005] Time 0.214 (0.212) Data 0.042 (0.047) Loss 2.2776 (2.3073) Prec@1 45.703 (47.337) Prec@5 72.656 (72.672)
Epoch: [105][910/5005] Time 0.210 (0.212) Data 0.042 (0.047) Loss 2.2102 (2.3071) Prec@1 49.219 (47.342) Prec@5 73.047 (72.670)
Epoch: [105][920/5005] Time 0.210 (0.212) Data 0.044 (0.047) Loss 2.2614 (2.3065) Prec@1 46.484 (47.350) Prec@5 74.609 (72.675)
Epoch: [105][930/5005] Time 0.212 (0.212) Data 0.042 (0.047) Loss 2.3818 (2.3061) Prec@1 48.438 (47.353) Prec@5 69.922 (72.681)
Epoch: [105][940/5005] Time 0.207 (0.212) Data 0.042 (0.047) Loss 2.2838 (2.3067) Prec@1 47.266 (47.340) Prec@5 73.047 (72.669)
Epoch: [105][950/5005] Time 0.214 (0.212) Data 0.042 (0.047) Loss 2.2452 (2.3073) Prec@1 51.562 (47.336) Prec@5 74.219 (72.670)
Epoch: [105][960/5005] Time 0.210 (0.212) Data 0.042 (0.047) Loss 2.5268 (2.3077) Prec@1 45.703 (47.322) Prec@5 66.016 (72.664)
Epoch: [105][970/5005] Time 0.214 (0.212) Data 0.043 (0.047) Loss 2.2468 (2.3074) Prec@1 48.438 (47.327) Prec@5 72.266 (72.663)
Epoch: [105][980/5005] Time 0.214 (0.212) Data 0.043 (0.047) Loss 2.1760 (2.3066) Prec@1 50.781 (47.350) Prec@5 74.219 (72.673)
Epoch: [105][990/5005] Time 0.214 (0.212) Data 0.041 (0.047) Loss 2.5098 (2.3069) Prec@1 45.312 (47.335) Prec@5 70.312 (72.681)
Epoch: [105][1000/5005] Time 0.216 (0.212) Data 0.043 (0.047) Loss 2.3067 (2.3071) Prec@1 45.703 (47.343) Prec@5 75.000 (72.682)
Epoch: [105][1010/5005] Time 0.207 (0.212) Data 0.043 (0.047) Loss 2.3275 (2.3067) Prec@1 44.922 (47.340) Prec@5 70.312 (72.687)
Epoch: [105][1020/5005] Time 0.198 (0.214) Data 0.045 (0.047) Loss 2.1570 (2.3072) Prec@1 52.344 (47.347) Prec@5 75.000 (72.677)
Epoch: [105][1030/5005] Time 0.207 (0.213) Data 0.043 (0.047) Loss 2.2195 (2.3067) Prec@1 44.531 (47.347) Prec@5 73.828 (72.692)
Epoch: [105][1040/5005] Time 0.195 (0.213) Data 0.042 (0.047) Loss 2.3953 (2.3067) Prec@1 44.922 (47.340) Prec@5 73.047 (72.684)
Epoch: [105][1050/5005] Time 0.216 (0.213) Data 0.042 (0.047) Loss 2.4596 (2.3067) Prec@1 43.750 (47.338) Prec@5 69.922 (72.684)
Epoch: [105][1060/5005] Time 0.207 (0.213) Data 0.050 (0.047) Loss 2.3842 (2.3071) Prec@1 47.656 (47.330) Prec@5 71.094 (72.680)
Epoch: [105][1070/5005] Time 0.216 (0.213) Data 0.041 (0.047) Loss 2.3404 (2.3073) Prec@1 46.875 (47.328) Prec@5 70.703 (72.672)
Epoch: [105][1080/5005] Time 0.217 (0.213) Data 0.044 (0.047) Loss 2.2806 (2.3072) Prec@1 49.219 (47.336) Prec@5 74.219 (72.680)
Epoch: [105][1090/5005] Time 0.205 (0.213) Data 0.054 (0.047) Loss 2.2415 (2.3065) Prec@1 45.703 (47.349) Prec@5 71.094 (72.688)
Epoch: [105][1100/5005] Time 0.200 (0.213) Data 0.049 (0.047) Loss 2.1753 (2.3060) Prec@1 51.562 (47.369) Prec@5 74.609 (72.696)
Epoch: [105][1110/5005] Time 0.208 (0.213) Data 0.049 (0.047) Loss 2.3155 (2.3064) Prec@1 46.094 (47.370) Prec@5 73.828 (72.693)
Epoch: [105][1120/5005] Time 0.211 (0.213) Data 0.060 (0.047) Loss 2.2951 (2.3059) Prec@1 48.047 (47.371) Prec@5 72.266 (72.705)
Epoch: [105][1130/5005] Time 0.205 (0.213) Data 0.050 (0.047) Loss 2.3538 (2.3061) Prec@1 46.875 (47.366) Prec@5 71.875 (72.705)
Epoch: [105][1140/5005] Time 0.207 (0.213) Data 0.047 (0.047) Loss 2.2990 (2.3055) Prec@1 48.438 (47.373) Prec@5 71.875 (72.720)
Epoch: [105][1150/5005] Time 0.196 (0.213) Data 0.050 (0.047) Loss 2.3682 (2.3050) Prec@1 47.266 (47.376) Prec@5 72.656 (72.733)
Epoch: [105][1160/5005] Time 0.195 (0.213) Data 0.047 (0.047) Loss 2.4374 (2.3052) Prec@1 46.094 (47.383) Prec@5 69.141 (72.720)
Epoch: [105][1170/5005] Time 0.218 (0.213) Data 0.045 (0.047) Loss 2.2853 (2.3051) Prec@1 48.438 (47.383) Prec@5 76.953 (72.728)
Epoch: [105][1180/5005] Time 0.210 (0.213) Data 0.042 (0.047) Loss 2.3952 (2.3050) Prec@1 43.359 (47.383) Prec@5 71.094 (72.730)
Epoch: [105][1190/5005] Time 0.216 (0.213) Data 0.042 (0.047) Loss 2.0191 (2.3045) Prec@1 47.266 (47.387) Prec@5 78.906 (72.738)
Epoch: [105][1200/5005] Time 0.206 (0.213) Data 0.044 (0.047) Loss 2.5326 (2.3043) Prec@1 42.969 (47.388) Prec@5 69.531 (72.745)
Epoch: [105][1210/5005] Time 0.209 (0.213) Data 0.044 (0.047) Loss 2.2670 (2.3049) Prec@1 45.703 (47.382) Prec@5 71.484 (72.734)
Epoch: [105][1220/5005] Time 0.210 (0.213) Data 0.048 (0.047) Loss 2.2219 (2.3052) Prec@1 50.000 (47.380) Prec@5 75.000 (72.731)
Epoch: [105][1230/5005] Time 0.214 (0.213) Data 0.044 (0.047) Loss 2.3273 (2.3049) Prec@1 48.438 (47.382) Prec@5 72.266 (72.736)
Epoch: [105][1240/5005] Time 0.212 (0.213) Data 0.044 (0.047) Loss 2.3215 (2.3051) Prec@1 47.656 (47.369) Prec@5 71.484 (72.724)
Epoch: [105][1250/5005] Time 0.198 (0.213) Data 0.043 (0.047) Loss 2.4732 (2.3056) Prec@1 46.484 (47.359) Prec@5 71.484 (72.717)
Epoch: [105][1260/5005] Time 0.219 (0.213) Data 0.043 (0.047) Loss 2.0489 (2.3049) Prec@1 50.000 (47.369) Prec@5 78.906 (72.726)
Epoch: [105][1270/5005] Time 0.199 (0.213) Data 0.060 (0.047) Loss 2.3221 (2.3056) Prec@1 48.438 (47.362) Prec@5 74.219 (72.710)
Epoch: [105][1280/5005] Time 0.202 (0.212) Data 0.057 (0.047) Loss 2.3089 (2.3064) Prec@1 45.312 (47.351) Prec@5 71.484 (72.704)
Epoch: [105][1290/5005] Time 0.207 (0.212) Data 0.046 (0.047) Loss 2.0991 (2.3062) Prec@1 50.391 (47.357) Prec@5 75.391 (72.707)
Epoch: [105][1300/5005] Time 0.213 (0.212) Data 0.045 (0.047) Loss 2.2479 (2.3060) Prec@1 49.609 (47.365) Prec@5 73.438 (72.709)
Epoch: [105][1310/5005] Time 0.209 (0.212) Data 0.042 (0.047) Loss 2.4345 (2.3062) Prec@1 48.047 (47.361) Prec@5 70.703 (72.711)
Epoch: [105][1320/5005] Time 0.207 (0.212) Data 0.047 (0.047) Loss 2.4203 (2.3061) Prec@1 46.875 (47.364) Prec@5 72.656 (72.714)
Epoch: [105][1330/5005] Time 0.213 (0.212) Data 0.042 (0.047) Loss 2.4512 (2.3063) Prec@1 46.484 (47.364) Prec@5 71.094 (72.714)
Epoch: [105][1340/5005] Time 0.191 (0.212) Data 0.063 (0.047) Loss 2.3125 (2.3060) Prec@1 46.484 (47.371) Prec@5 71.484 (72.716)
Epoch: [105][1350/5005] Time 0.204 (0.212) Data 0.045 (0.047) Loss 2.6566 (2.3060) Prec@1 42.578 (47.371) Prec@5 67.188 (72.718)
Epoch: [105][1360/5005] Time 0.211 (0.212) Data 0.043 (0.047) Loss 2.2193 (2.3060) Prec@1 48.438 (47.370) Prec@5 73.828 (72.710)
Epoch: [105][1370/5005] Time 0.204 (0.212) Data 0.043 (0.047) Loss 2.4071 (2.3056) Prec@1 44.922 (47.379) Prec@5 72.266 (72.714)
Epoch: [105][1380/5005] Time 0.208 (0.212) Data 0.044 (0.047) Loss 2.3337 (2.3053) Prec@1 48.438 (47.378) Prec@5 74.219 (72.724)
Epoch: [105][1390/5005] Time 0.210 (0.212) Data 0.048 (0.047) Loss 2.1670 (2.3052) Prec@1 48.438 (47.382) Prec@5 77.344 (72.730)
Epoch: [105][1400/5005] Time 0.202 (0.212) Data 0.061 (0.047) Loss 2.3051 (2.3044) Prec@1 46.875 (47.398) Prec@5 70.703 (72.742)
Epoch: [105][1410/5005] Time 0.206 (0.212) Data 0.057 (0.047) Loss 2.2226 (2.3041) Prec@1 48.438 (47.400) Prec@5 74.219 (72.742)
Epoch: [105][1420/5005] Time 0.215 (0.212) Data 0.043 (0.047) Loss 2.4163 (2.3042) Prec@1 47.656 (47.397) Prec@5 70.312 (72.739)
Epoch: [105][1430/5005] Time 0.208 (0.212) Data 0.040 (0.047) Loss 2.0345 (2.3039) Prec@1 51.953 (47.400) Prec@5 78.516 (72.744)
Epoch: [105][1440/5005] Time 0.210 (0.212) Data 0.040 (0.047) Loss 2.1209 (2.3037) Prec@1 50.781 (47.395) Prec@5 75.391 (72.743)
Epoch: [105][1450/5005] Time 0.205 (0.212) Data 0.041 (0.047) Loss 2.0898 (2.3036) Prec@1 53.125 (47.399) Prec@5 73.828 (72.739)
Epoch: [105][1460/5005] Time 0.213 (0.212) Data 0.040 (0.047) Loss 2.4028 (2.3034) Prec@1 42.578 (47.406) Prec@5 67.969 (72.740)
Epoch: [105][1470/5005] Time 0.204 (0.212) Data 0.042 (0.047) Loss 2.2291 (2.3035) Prec@1 50.000 (47.404) Prec@5 73.047 (72.739)
Epoch: [105][1480/5005] Time 0.213 (0.212) Data 0.044 (0.047) Loss 2.3127 (2.3039) Prec@1 45.703 (47.395) Prec@5 76.562 (72.737)
Epoch: [105][1490/5005] Time 0.205 (0.212) Data 0.045 (0.047) Loss 2.5758 (2.3036) Prec@1 42.969 (47.399) Prec@5 66.406 (72.742)
Epoch: [105][1500/5005] Time 0.213 (0.212) Data 0.042 (0.047) Loss 2.2325 (2.3034) Prec@1 50.391 (47.405) Prec@5 75.000 (72.744)
Epoch: [105][1510/5005] Time 0.214 (0.212) Data 0.042 (0.047) Loss 2.1170 (2.3033) Prec@1 50.391 (47.404) Prec@5 75.391 (72.749)
Epoch: [105][1520/5005] Time 0.212 (0.212) Data 0.042 (0.047) Loss 2.2632 (2.3031) Prec@1 48.828 (47.405) Prec@5 74.219 (72.750)
Epoch: [105][1530/5005] Time 0.209 (0.212) Data 0.043 (0.047) Loss 2.4078 (2.3032) Prec@1 43.750 (47.400) Prec@5 71.875 (72.743)
Epoch: [105][1540/5005] Time 0.214 (0.212) Data 0.042 (0.047) Loss 2.4626 (2.3033) Prec@1 42.969 (47.392) Prec@5 67.578 (72.742)
Epoch: [105][1550/5005] Time 0.214 (0.212) Data 0.042 (0.047) Loss 2.3356 (2.3029) Prec@1 44.141 (47.399) Prec@5 74.219 (72.750)
Epoch: [105][1560/5005] Time 0.214 (0.212) Data 0.046 (0.047) Loss 2.1110 (2.3030) Prec@1 51.172 (47.402) Prec@5 74.609 (72.752)
Epoch: [105][1570/5005] Time 0.210 (0.212) Data 0.042 (0.047) Loss 2.1106 (2.3026) Prec@1 50.391 (47.408) Prec@5 75.391 (72.757)
Epoch: [105][1580/5005] Time 0.214 (0.212) Data 0.044 (0.046) Loss 2.2412 (2.3028) Prec@1 46.875 (47.400) Prec@5 73.047 (72.749)
Epoch: [105][1590/5005] Time 0.211 (0.212) Data 0.043 (0.046) Loss 2.2801 (2.3029) Prec@1 49.219 (47.396) Prec@5 71.875 (72.748)
Epoch: [105][1600/5005] Time 0.201 (0.212) Data 0.046 (0.046) Loss 2.2883 (2.3028) Prec@1 45.312 (47.398) Prec@5 73.828 (72.754)
Epoch: [105][1610/5005] Time 0.205 (0.212) Data 0.043 (0.046) Loss 2.3354 (2.3027) Prec@1 45.703 (47.399) Prec@5 73.047 (72.756)
Epoch: [105][1620/5005] Time 0.206 (0.212) Data 0.041 (0.046) Loss 2.4617 (2.3024) Prec@1 42.578 (47.392) Prec@5 70.703 (72.762)
Epoch: [105][1630/5005] Time 0.213 (0.212) Data 0.043 (0.046) Loss 2.2274 (2.3025) Prec@1 48.828 (47.394) Prec@5 74.219 (72.758)
Epoch: [105][1640/5005] Time 0.211 (0.212) Data 0.043 (0.046) Loss 2.3451 (2.3028) Prec@1 48.828 (47.392) Prec@5 73.438 (72.754)
Epoch: [105][1650/5005] Time 0.210 (0.212) Data 0.041 (0.046) Loss 2.4500 (2.3028) Prec@1 43.750 (47.392) Prec@5 68.750 (72.750)
Epoch: [105][1660/5005] Time 0.195 (0.212) Data 0.044 (0.046) Loss 2.3195 (2.3023) Prec@1 44.922 (47.407) Prec@5 72.656 (72.753)
Epoch: [105][1670/5005] Time 0.206 (0.212) Data 0.043 (0.046) Loss 2.1841 (2.3026) Prec@1 49.219 (47.406) Prec@5 74.609 (72.746)
Epoch: [105][1680/5005] Time 0.210 (0.212) Data 0.043 (0.046) Loss 2.3641 (2.3029) Prec@1 49.609 (47.409) Prec@5 72.656 (72.741)
Epoch: [105][1690/5005] Time 0.204 (0.212) Data 0.044 (0.046) Loss 2.0758 (2.3026) Prec@1 50.000 (47.410) Prec@5 73.047 (72.750)
Epoch: [105][1700/5005] Time 0.206 (0.212) Data 0.044 (0.046) Loss 2.2168 (2.3021) Prec@1 45.703 (47.411) Prec@5 72.656 (72.758)
Epoch: [105][1710/5005] Time 0.209 (0.212) Data 0.044 (0.046) Loss 2.1496 (2.3017) Prec@1 51.562 (47.416) Prec@5 74.609 (72.765)
Epoch: [105][1720/5005] Time 0.211 (0.212) Data 0.044 (0.046) Loss 2.3451 (2.3015) Prec@1 46.875 (47.415) Prec@5 72.266 (72.767)
Epoch: [105][1730/5005] Time 0.203 (0.212) Data 0.058 (0.046) Loss 2.2628 (2.3012) Prec@1 47.656 (47.420) Prec@5 74.609 (72.776)
Epoch: [105][1740/5005] Time 0.211 (0.212) Data 0.053 (0.046) Loss 2.4208 (2.3011) Prec@1 39.844 (47.419) Prec@5 70.312 (72.777)
Epoch: [105][1750/5005] Time 0.220 (0.212) Data 0.044 (0.046) Loss 2.3853 (2.3011) Prec@1 45.703 (47.419) Prec@5 71.094 (72.778)
Epoch: [105][1760/5005] Time 0.204 (0.212) Data 0.041 (0.046) Loss 2.0229 (2.3007) Prec@1 51.562 (47.416) Prec@5 78.906 (72.787)
Epoch: [105][1770/5005] Time 0.215 (0.212) Data 0.047 (0.046) Loss 2.4473 (2.3005) Prec@1 41.797 (47.421) Prec@5 71.094 (72.793)
Epoch: [105][1780/5005] Time 0.213 (0.212) Data 0.053 (0.046) Loss 2.1535 (2.3003) Prec@1 50.391 (47.427) Prec@5 73.828 (72.793)
Epoch: [105][1790/5005] Time 0.201 (0.212) Data 0.045 (0.046) Loss 2.2422 (2.3001) Prec@1 48.047 (47.431) Prec@5 71.875 (72.791)
Epoch: [105][1800/5005] Time 0.214 (0.212) Data 0.042 (0.046) Loss 2.2814 (2.2999) Prec@1 50.391 (47.435) Prec@5 73.828 (72.794)
Epoch: [105][1810/5005] Time 0.209 (0.212) Data 0.042 (0.046) Loss 2.2086 (2.2995) Prec@1 50.391 (47.440) Prec@5 74.219 (72.801)
Epoch: [105][1820/5005] Time 0.200 (0.212) Data 0.041 (0.046) Loss 2.3610 (2.2996) Prec@1 41.797 (47.437) Prec@5 71.094 (72.798)
Epoch: [105][1830/5005] Time 0.213 (0.212) Data 0.042 (0.046) Loss 2.1036 (2.2993) Prec@1 53.125 (47.444) Prec@5 75.781 (72.799)
Epoch: [105][1840/5005] Time 0.205 (0.212) Data 0.041 (0.046) Loss 2.4474 (2.2992) Prec@1 41.406 (47.450) Prec@5 70.703 (72.800)
Epoch: [105][1850/5005] Time 0.210 (0.212) Data 0.043 (0.046) Loss 2.3346 (2.2990) Prec@1 46.484 (47.452) Prec@5 72.656 (72.800)
Epoch: [105][1860/5005] Time 0.203 (0.212) Data 0.048 (0.046) Loss 2.3114 (2.2990) Prec@1 48.047 (47.455) Prec@5 71.484 (72.800)
Epoch: [105][1870/5005] Time 0.203 (0.212) Data 0.042 (0.046) Loss 2.5860 (2.2994) Prec@1 43.750 (47.448) Prec@5 69.141 (72.795)
Epoch: [105][1880/5005] Time 0.211 (0.212) Data 0.045 (0.046) Loss 2.3275 (2.2995) Prec@1 51.953 (47.451) Prec@5 71.484 (72.793)
Epoch: [105][1890/5005] Time 0.220 (0.212) Data 0.046 (0.046) Loss 2.2659 (2.2995) Prec@1 48.047 (47.456) Prec@5 72.266 (72.795)
Epoch: [105][1900/5005] Time 0.208 (0.212) Data 0.050 (0.046) Loss 2.3193 (2.2999) Prec@1 46.875 (47.445) Prec@5 75.781 (72.793)
Epoch: [105][1910/5005] Time 0.211 (0.212) Data 0.039 (0.046) Loss 2.3279 (2.2999) Prec@1 45.703 (47.441) Prec@5 73.047 (72.788)
Epoch: [105][1920/5005] Time 0.223 (0.211) Data 0.047 (0.046) Loss 2.1527 (2.2997) Prec@1 48.047 (47.441) Prec@5 75.000 (72.792)
Epoch: [105][1930/5005] Time 0.215 (0.211) Data 0.045 (0.046) Loss 2.1080 (2.2995) Prec@1 49.219 (47.450) Prec@5 74.609 (72.797)
Epoch: [105][1940/5005] Time 0.213 (0.211) Data 0.044 (0.046) Loss 2.2005 (2.2993) Prec@1 47.656 (47.449) Prec@5 75.000 (72.804)
Epoch: [105][1950/5005] Time 0.209 (0.211) Data 0.043 (0.046) Loss 2.3770 (2.2994) Prec@1 45.703 (47.445) Prec@5 71.875 (72.803)
Epoch: [105][1960/5005] Time 0.206 (0.211) Data 0.044 (0.046) Loss 2.1110 (2.2992) Prec@1 51.172 (47.448) Prec@5 76.172 (72.808)
Epoch: [105][1970/5005] Time 0.208 (0.212) Data 0.048 (0.046) Loss 2.2045 (2.2994) Prec@1 48.828 (47.445) Prec@5 73.438 (72.803)
Epoch: [105][1980/5005] Time 0.205 (0.212) Data 0.058 (0.046) Loss 2.1162 (2.2992) Prec@1 54.297 (47.452) Prec@5 75.000 (72.805)
Epoch: [105][1990/5005] Time 0.204 (0.212) Data 0.041 (0.046) Loss 2.2021 (2.2989) Prec@1 52.344 (47.460) Prec@5 76.172 (72.809)
Epoch: [105][2000/5005] Time 0.211 (0.212) Data 0.042 (0.046) Loss 2.1738 (2.2992) Prec@1 50.391 (47.454) Prec@5 73.828 (72.807)
Epoch: [105][2010/5005] Time 0.210 (0.211) Data 0.051 (0.046) Loss 2.1398 (2.2992) Prec@1 48.828 (47.447) Prec@5 75.781 (72.810)
Epoch: [105][2020/5005] Time 0.207 (0.211) Data 0.045 (0.046) Loss 2.3719 (2.2992) Prec@1 48.047 (47.445) Prec@5 70.703 (72.808)
Epoch: [105][2030/5005] Time 0.203 (0.211) Data 0.045 (0.046) Loss 2.2073 (2.2994) Prec@1 46.484 (47.443) Prec@5 75.391 (72.800)
Epoch: [105][2040/5005] Time 0.212 (0.211) Data 0.042 (0.046) Loss 2.1026 (2.2992) Prec@1 48.047 (47.444) Prec@5 75.000 (72.806)
Epoch: [105][2050/5005] Time 0.214 (0.211) Data 0.044 (0.046) Loss 2.4334 (2.2992) Prec@1 46.875 (47.445) Prec@5 69.141 (72.807)
Epoch: [105][2060/5005] Time 0.202 (0.211) Data 0.042 (0.046) Loss 2.1537 (2.2992) Prec@1 48.438 (47.446) Prec@5 76.953 (72.806)
Epoch: [105][2070/5005] Time 0.214 (0.211) Data 0.043 (0.046) Loss 2.5080 (2.2994) Prec@1 46.094 (47.439) Prec@5 71.094 (72.801)
Epoch: [105][2080/5005] Time 0.204 (0.211) Data 0.047 (0.046) Loss 2.3339 (2.2994) Prec@1 44.922 (47.439) Prec@5 74.219 (72.800)
Epoch: [105][2090/5005] Time 0.201 (0.211) Data 0.046 (0.046) Loss 2.1628 (2.2991) Prec@1 49.219 (47.441) Prec@5 74.219 (72.801)
Epoch: [105][2100/5005] Time 0.210 (0.211) Data 0.050 (0.046) Loss 2.3190 (2.2990) Prec@1 46.484 (47.443) Prec@5 73.828 (72.796)
Epoch: [105][2110/5005] Time 0.206 (0.211) Data 0.047 (0.046) Loss 2.1158 (2.2990) Prec@1 50.391 (47.448) Prec@5 76.172 (72.795)
Epoch: [105][2120/5005] Time 0.203 (0.211) Data 0.062 (0.046) Loss 2.3122 (2.2989) Prec@1 46.094 (47.448) Prec@5 71.875 (72.801)
Epoch: [105][2130/5005] Time 0.208 (0.211) Data 0.045 (0.046) Loss 2.2062 (2.2985) Prec@1 50.391 (47.458) Prec@5 74.609 (72.806)
Epoch: [105][2140/5005] Time 0.200 (0.211) Data 0.051 (0.046) Loss 2.1150 (2.2983) Prec@1 51.172 (47.464) Prec@5 76.172 (72.808)
Epoch: [105][2150/5005] Time 0.209 (0.211) Data 0.048 (0.046) Loss 2.2175 (2.2983) Prec@1 48.828 (47.464) Prec@5 73.438 (72.809)
Epoch: [105][2160/5005] Time 0.205 (0.211) Data 0.053 (0.046) Loss 2.2753 (2.2984) Prec@1 49.609 (47.459) Prec@5 71.875 (72.812)
Epoch: [105][2170/5005] Time 0.209 (0.211) Data 0.042 (0.046) Loss 2.2291 (2.2978) Prec@1 42.188 (47.466) Prec@5 74.219 (72.819)
Epoch: [105][2180/5005] Time 0.213 (0.211) Data 0.043 (0.046) Loss 2.3408 (2.2977) Prec@1 51.953 (47.469) Prec@5 74.219 (72.826)
Epoch: [105][2190/5005] Time 0.215 (0.211) Data 0.041 (0.046) Loss 2.5999 (2.2980) Prec@1 44.922 (47.467) Prec@5 64.453 (72.821)
Epoch: [105][2200/5005] Time 0.212 (0.211) Data 0.042 (0.046) Loss 2.2854 (2.2981) Prec@1 43.750 (47.459) Prec@5 74.609 (72.821)
Epoch: [105][2210/5005] Time 0.203 (0.211) Data 0.044 (0.046) Loss 2.4914 (2.2984) Prec@1 42.188 (47.450) Prec@5 69.531 (72.813)
Epoch: [105][2220/5005] Time 0.202 (0.211) Data 0.043 (0.046) Loss 2.4234 (2.2983) Prec@1 48.047 (47.454) Prec@5 67.969 (72.816)
Epoch: [105][2230/5005] Time 0.211 (0.211) Data 0.041 (0.046) Loss 2.3179 (2.2984) Prec@1 47.266 (47.453) Prec@5 74.219 (72.808)
Epoch: [105][2240/5005] Time 0.210 (0.211) Data 0.044 (0.046) Loss 2.3659 (2.2986) Prec@1 44.531 (47.449) Prec@5 74.609 (72.806)
Epoch: [105][2250/5005] Time 0.208 (0.211) Data 0.043 (0.046) Loss 2.0635 (2.2985) Prec@1 50.781 (47.448) Prec@5 76.172 (72.810)
Epoch: [105][2260/5005] Time 0.212 (0.211) Data 0.042 (0.046) Loss 2.1655 (2.2982) Prec@1 48.047 (47.452) Prec@5 73.828 (72.814)
Epoch: [105][2270/5005] Time 0.207 (0.211) Data 0.046 (0.046) Loss 2.2992 (2.2979) Prec@1 43.750 (47.456) Prec@5 70.312 (72.816)
Epoch: [105][2280/5005] Time 0.220 (0.211) Data 0.042 (0.046) Loss 2.2942 (2.2979) Prec@1 46.484 (47.452) Prec@5 72.656 (72.818)
Epoch: [105][2290/5005] Time 0.211 (0.211) Data 0.051 (0.046) Loss 2.1254 (2.2977) Prec@1 50.000 (47.453) Prec@5 74.609 (72.819)
Epoch: [105][2300/5005] Time 0.207 (0.211) Data 0.049 (0.046) Loss 2.3005 (2.2978) Prec@1 47.266 (47.454) Prec@5 71.484 (72.818)
Epoch: [105][2310/5005] Time 0.215 (0.211) Data 0.046 (0.046) Loss 2.0382 (2.2978) Prec@1 52.734 (47.456) Prec@5 74.219 (72.813)
Epoch: [105][2320/5005] Time 0.207 (0.211) Data 0.047 (0.046) Loss 2.4404 (2.2979) Prec@1 44.531 (47.454) Prec@5 73.047 (72.809)
Epoch: [105][2330/5005] Time 0.208 (0.211) Data 0.043 (0.046) Loss 2.3032 (2.2974) Prec@1 48.828 (47.462) Prec@5 71.484 (72.816)
Epoch: [105][2340/5005] Time 0.208 (0.211) Data 0.046 (0.046) Loss 2.3619 (2.2973) Prec@1 45.312 (47.463) Prec@5 71.484 (72.819)
Epoch: [105][2350/5005] Time 0.199 (0.211) Data 0.049 (0.046) Loss 2.2609 (2.2972) Prec@1 47.656 (47.463) Prec@5 71.875 (72.822)
Epoch: [105][2360/5005] Time 0.201 (0.211) Data 0.041 (0.046) Loss 2.2392 (2.2974) Prec@1 50.391 (47.462) Prec@5 72.656 (72.818)
Epoch: [105][2370/5005] Time 0.208 (0.211) Data 0.043 (0.046) Loss 2.3509 (2.2976) Prec@1 44.531 (47.455) Prec@5 71.484 (72.812)
Epoch: [105][2380/5005] Time 0.212 (0.211) Data 0.042 (0.046) Loss 2.3313 (2.2976) Prec@1 50.781 (47.461) Prec@5 73.047 (72.815)
Epoch: [105][2390/5005] Time 0.217 (0.211) Data 0.041 (0.046) Loss 2.3423 (2.2974) Prec@1 47.266 (47.464) Prec@5 70.703 (72.816)
Epoch: [105][2400/5005] Time 0.198 (0.211) Data 0.045 (0.046) Loss 2.2926 (2.2974) Prec@1 44.531 (47.462) Prec@5 73.828 (72.819)
Epoch: [105][2410/5005] Time 0.210 (0.211) Data 0.042 (0.046) Loss 2.5733 (2.2974) Prec@1 42.969 (47.464) Prec@5 68.750 (72.821)
Epoch: [105][2420/5005] Time 0.212 (0.211) Data 0.057 (0.046) Loss 2.3073 (2.2973) Prec@1 43.750 (47.463) Prec@5 73.438 (72.825)
Epoch: [105][2430/5005] Time 0.203 (0.211) Data 0.043 (0.046) Loss 2.2201 (2.2974) Prec@1 50.781 (47.462) Prec@5 73.438 (72.821)
Epoch: [105][2440/5005] Time 0.210 (0.211) Data 0.060 (0.046) Loss 2.0812 (2.2972) Prec@1 48.047 (47.470) Prec@5 78.516 (72.825)
Epoch: [105][2450/5005] Time 0.195 (0.211) Data 0.048 (0.047) Loss 2.1782 (2.2972) Prec@1 46.875 (47.470) Prec@5 73.438 (72.825)
Epoch: [105][2460/5005] Time 0.216 (0.211) Data 0.051 (0.047) Loss 2.2369 (2.2970) Prec@1 49.219 (47.472) Prec@5 75.000 (72.827)
Epoch: [105][2470/5005] Time 0.212 (0.211) Data 0.052 (0.047) Loss 2.1069 (2.2966) Prec@1 50.781 (47.480) Prec@5 72.656 (72.831)
Epoch: [105][2480/5005] Time 0.220 (0.211) Data 0.047 (0.047) Loss 2.3759 (2.2969) Prec@1 44.922 (47.473) Prec@5 73.438 (72.828)
Epoch: [105][2490/5005] Time 0.205 (0.211) Data 0.049 (0.047) Loss 2.1252 (2.2968) Prec@1 49.609 (47.473) Prec@5 77.344 (72.831)
Epoch: [105][2500/5005] Time 0.208 (0.211) Data 0.045 (0.047) Loss 2.3374 (2.2968) Prec@1 48.047 (47.474) Prec@5 71.484 (72.834)
Epoch: [105][2510/5005] Time 0.214 (0.211) Data 0.044 (0.047) Loss 2.4827 (2.2969) Prec@1 44.922 (47.474) Prec@5 70.703 (72.835)
Epoch: [105][2520/5005] Time 0.212 (0.211) Data 0.043 (0.047) Loss 2.2247 (2.2967) Prec@1 51.562 (47.478) Prec@5 74.219 (72.836)
Epoch: [105][2530/5005] Time 0.213 (0.211) Data 0.044 (0.047) Loss 2.4358 (2.2968) Prec@1 44.141 (47.475) Prec@5 68.359 (72.829)
Epoch: [105][2540/5005] Time 0.207 (0.211) Data 0.043 (0.047) Loss 2.2682 (2.2967) Prec@1 47.266 (47.476) Prec@5 73.438 (72.829)
Epoch: [105][2550/5005] Time 0.204 (0.211) Data 0.045 (0.047) Loss 2.2953 (2.2966) Prec@1 49.219 (47.478) Prec@5 71.875 (72.831)
Epoch: [105][2560/5005] Time 0.213 (0.211) Data 0.043 (0.047) Loss 2.5586 (2.2967) Prec@1 39.062 (47.475) Prec@5 67.188 (72.830)
Epoch: [105][2570/5005] Time 0.213 (0.211) Data 0.047 (0.047) Loss 2.2619 (2.2969) Prec@1 47.656 (47.473) Prec@5 72.656 (72.830)
Epoch: [105][2580/5005] Time 0.204 (0.211) Data 0.047 (0.047) Loss 2.3649 (2.2972) Prec@1 44.531 (47.467) Prec@5 69.922 (72.822)
Epoch: [105][2590/5005] Time 0.204 (0.211) Data 0.042 (0.047) Loss 2.3465 (2.2970) Prec@1 45.703 (47.473) Prec@5 71.484 (72.823)
Epoch: [105][2600/5005] Time 0.199 (0.211) Data 0.042 (0.047) Loss 2.3482 (2.2973) Prec@1 46.484 (47.469) Prec@5 75.000 (72.818)
Epoch: [105][2610/5005] Time 0.206 (0.211) Data 0.047 (0.047) Loss 2.3642 (2.2970) Prec@1 46.094 (47.476) Prec@5 72.656 (72.823)
Epoch: [105][2620/5005] Time 0.209 (0.211) Data 0.041 (0.047) Loss 2.2142 (2.2971) Prec@1 48.047 (47.476) Prec@5 73.828 (72.823)
Epoch: [105][2630/5005] Time 0.205 (0.211) Data 0.042 (0.047) Loss 2.5040 (2.2974) Prec@1 44.531 (47.469) Prec@5 71.484 (72.816)
Epoch: [105][2640/5005] Time 0.213 (0.211) Data 0.040 (0.047) Loss 2.4122 (2.2976) Prec@1 44.141 (47.462) Prec@5 69.531 (72.812)
Epoch: [105][2650/5005] Time 0.204 (0.211) Data 0.039 (0.047) Loss 2.4290 (2.2977) Prec@1 43.359 (47.459) Prec@5 69.141 (72.810)
Epoch: [105][2660/5005] Time 0.202 (0.211) Data 0.053 (0.047) Loss 2.2044 (2.2976) Prec@1 49.609 (47.466) Prec@5 73.438 (72.809)
Epoch: [105][2670/5005] Time 0.200 (0.211) Data 0.060 (0.047) Loss 1.9856 (2.2974) Prec@1 51.953 (47.471) Prec@5 77.734 (72.812)
Epoch: [105][2680/5005] Time 0.205 (0.211) Data 0.059 (0.047) Loss 2.1921 (2.2974) Prec@1 47.656 (47.468) Prec@5 75.781 (72.812)
Epoch: [105][2690/5005] Time 0.208 (0.211) Data 0.054 (0.047) Loss 2.1513 (2.2972) Prec@1 51.172 (47.472) Prec@5 76.953 (72.817)
Epoch: [105][2700/5005] Time 0.207 (0.211) Data 0.051 (0.047) Loss 2.2881 (2.2974) Prec@1 48.828 (47.470) Prec@5 71.875 (72.813)
Epoch: [105][2710/5005] Time 0.209 (0.211) Data 0.043 (0.047) Loss 2.1708 (2.2975) Prec@1 52.344 (47.469) Prec@5 73.438 (72.810)
Epoch: [105][2720/5005] Time 0.207 (0.211) Data 0.040 (0.047) Loss 2.2088 (2.2975) Prec@1 50.000 (47.468) Prec@5 75.391 (72.811)
Epoch: [105][2730/5005] Time 0.207 (0.211) Data 0.062 (0.047) Loss 2.3858 (2.2973) Prec@1 49.609 (47.471) Prec@5 69.922 (72.812)
Epoch: [105][2740/5005] Time 0.214 (0.211) Data 0.042 (0.047) Loss 2.3462 (2.2973) Prec@1 46.484 (47.474) Prec@5 74.219 (72.809)
Epoch: [105][2750/5005] Time 0.209 (0.211) Data 0.045 (0.047) Loss 2.2344 (2.2972) Prec@1 52.344 (47.476) Prec@5 71.094 (72.810)
Epoch: [105][2760/5005] Time 0.214 (0.211) Data 0.043 (0.047) Loss 2.2492 (2.2971) Prec@1 48.828 (47.484) Prec@5 71.875 (72.814)
Epoch: [105][2770/5005] Time 0.215 (0.211) Data 0.047 (0.047) Loss 2.3296 (2.2972) Prec@1 48.438 (47.482) Prec@5 73.438 (72.813)
Epoch: [105][2780/5005] Time 0.216 (0.211) Data 0.044 (0.047) Loss 2.5752 (2.2974) Prec@1 43.750 (47.482) Prec@5 66.016 (72.811)
Epoch: [105][2790/5005] Time 0.200 (0.211) Data 0.043 (0.047) Loss 2.4459 (2.2973) Prec@1 42.578 (47.485) Prec@5 69.141 (72.811)
Epoch: [105][2800/5005] Time 0.211 (0.211) Data 0.052 (0.047) Loss 2.0375 (2.2973) Prec@1 51.172 (47.487) Prec@5 77.344 (72.815)
Epoch: [105][2810/5005] Time 0.225 (0.210) Data 0.046 (0.047) Loss 2.5097 (2.2973) Prec@1 43.750 (47.486) Prec@5 67.578 (72.815)
Epoch: [105][2820/5005] Time 0.202 (0.210) Data 0.051 (0.047) Loss 2.0044 (2.2972) Prec@1 50.391 (47.486) Prec@5 78.125 (72.817)
Epoch: [105][2830/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.4985 (2.2972) Prec@1 42.578 (47.485) Prec@5 70.312 (72.814)
Epoch: [105][2840/5005] Time 0.209 (0.210) Data 0.044 (0.047) Loss 2.4270 (2.2972) Prec@1 45.703 (47.484) Prec@5 73.047 (72.815)
Epoch: [105][2850/5005] Time 0.197 (0.210) Data 0.046 (0.047) Loss 2.3216 (2.2971) Prec@1 49.219 (47.489) Prec@5 68.359 (72.816)
Epoch: [105][2860/5005] Time 0.200 (0.210) Data 0.045 (0.047) Loss 2.3401 (2.2971) Prec@1 46.094 (47.491) Prec@5 69.141 (72.815)
Epoch: [105][2870/5005] Time 0.198 (0.210) Data 0.046 (0.047) Loss 2.2288 (2.2968) Prec@1 50.781 (47.499) Prec@5 73.828 (72.820)
Epoch: [105][2880/5005] Time 0.216 (0.210) Data 0.047 (0.047) Loss 2.3120 (2.2968) Prec@1 44.531 (47.498) Prec@5 73.438 (72.820)
Epoch: [105][2890/5005] Time 0.212 (0.210) Data 0.061 (0.047) Loss 2.2788 (2.2966) Prec@1 42.969 (47.494) Prec@5 75.391 (72.824)
Epoch: [105][2900/5005] Time 0.202 (0.210) Data 0.060 (0.047) Loss 2.0740 (2.2964) Prec@1 51.172 (47.498) Prec@5 78.125 (72.828)
Epoch: [105][2910/5005] Time 0.209 (0.210) Data 0.047 (0.047) Loss 2.3892 (2.2964) Prec@1 46.875 (47.503) Prec@5 71.094 (72.829)
Epoch: [105][2920/5005] Time 0.204 (0.210) Data 0.053 (0.047) Loss 2.4299 (2.2964) Prec@1 41.406 (47.500) Prec@5 67.578 (72.829)
Epoch: [105][2930/5005] Time 0.209 (0.210) Data 0.048 (0.047) Loss 2.4219 (2.2964) Prec@1 46.484 (47.499) Prec@5 68.750 (72.827)
Epoch: [105][2940/5005] Time 0.200 (0.210) Data 0.050 (0.047) Loss 2.3052 (2.2962) Prec@1 47.266 (47.502) Prec@5 73.828 (72.832)
Epoch: [105][2950/5005] Time 0.201 (0.210) Data 0.050 (0.047) Loss 2.4339 (2.2959) Prec@1 44.141 (47.508) Prec@5 72.266 (72.838)
Epoch: [105][2960/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.2157 (2.2958) Prec@1 52.734 (47.513) Prec@5 73.828 (72.842)
Epoch: [105][2970/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.2629 (2.2955) Prec@1 48.047 (47.518) Prec@5 77.344 (72.843)
Epoch: [105][2980/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.3160 (2.2955) Prec@1 45.703 (47.520) Prec@5 72.266 (72.842)
Epoch: [105][2990/5005] Time 0.200 (0.210) Data 0.051 (0.047) Loss 2.3679 (2.2956) Prec@1 48.828 (47.521) Prec@5 68.750 (72.840)
Epoch: [105][3000/5005] Time 0.219 (0.210) Data 0.046 (0.047) Loss 2.2570 (2.2954) Prec@1 45.312 (47.520) Prec@5 73.828 (72.841)
Epoch: [105][3010/5005] Time 0.210 (0.210) Data 0.043 (0.047) Loss 2.2983 (2.2954) Prec@1 44.531 (47.518) Prec@5 70.312 (72.836)
Epoch: [105][3020/5005] Time 0.205 (0.210) Data 0.043 (0.047) Loss 2.2732 (2.2956) Prec@1 48.047 (47.517) Prec@5 75.391 (72.835)
Epoch: [105][3030/5005] Time 0.206 (0.210) Data 0.042 (0.047) Loss 2.1464 (2.2955) Prec@1 50.781 (47.516) Prec@5 76.172 (72.836)
Epoch: [105][3040/5005] Time 0.209 (0.210) Data 0.044 (0.047) Loss 2.1883 (2.2953) Prec@1 48.438 (47.523) Prec@5 73.047 (72.836)
Epoch: [105][3050/5005] Time 0.208 (0.210) Data 0.050 (0.047) Loss 2.2465 (2.2954) Prec@1 44.531 (47.519) Prec@5 73.438 (72.838)
Epoch: [105][3060/5005] Time 0.215 (0.210) Data 0.043 (0.047) Loss 2.1001 (2.2951) Prec@1 53.906 (47.521) Prec@5 75.781 (72.843)
Epoch: [105][3070/5005] Time 0.204 (0.210) Data 0.041 (0.047) Loss 2.2819 (2.2953) Prec@1 44.531 (47.517) Prec@5 72.656 (72.839)
Epoch: [105][3080/5005] Time 0.210 (0.210) Data 0.041 (0.047) Loss 2.2174 (2.2953) Prec@1 44.531 (47.512) Prec@5 73.438 (72.840)
Epoch: [105][3090/5005] Time 0.207 (0.210) Data 0.067 (0.047) Loss 2.4325 (2.2952) Prec@1 45.703 (47.515) Prec@5 71.094 (72.842)
Epoch: [105][3100/5005] Time 0.203 (0.210) Data 0.046 (0.047) Loss 2.4250 (2.2953) Prec@1 46.875 (47.512) Prec@5 71.484 (72.842)
Epoch: [105][3110/5005] Time 0.210 (0.210) Data 0.043 (0.047) Loss 2.0731 (2.2950) Prec@1 50.000 (47.518) Prec@5 75.391 (72.846)
Epoch: [105][3120/5005] Time 0.201 (0.210) Data 0.052 (0.047) Loss 2.3588 (2.2950) Prec@1 44.922 (47.517) Prec@5 71.484 (72.847)
Epoch: [105][3130/5005] Time 0.207 (0.210) Data 0.044 (0.047) Loss 2.3251 (2.2948) Prec@1 45.703 (47.522) Prec@5 71.484 (72.851)
Epoch: [105][3140/5005] Time 0.217 (0.210) Data 0.046 (0.047) Loss 2.0398 (2.2946) Prec@1 51.953 (47.525) Prec@5 75.391 (72.851)
Epoch: [105][3150/5005] Time 0.202 (0.210) Data 0.048 (0.047) Loss 2.1829 (2.2944) Prec@1 52.734 (47.531) Prec@5 75.000 (72.851)
Epoch: [105][3160/5005] Time 0.215 (0.210) Data 0.043 (0.047) Loss 2.1214 (2.2944) Prec@1 54.297 (47.535) Prec@5 75.000 (72.850)
Epoch: [105][3170/5005] Time 0.206 (0.210) Data 0.048 (0.047) Loss 2.4541 (2.2944) Prec@1 43.359 (47.534) Prec@5 69.141 (72.850)
Epoch: [105][3180/5005] Time 0.209 (0.210) Data 0.042 (0.047) Loss 2.1966 (2.2945) Prec@1 50.391 (47.532) Prec@5 76.562 (72.851)
Epoch: [105][3190/5005] Time 0.209 (0.210) Data 0.040 (0.047) Loss 2.3225 (2.2946) Prec@1 46.875 (47.530) Prec@5 72.656 (72.854)
Epoch: [105][3200/5005] Time 0.203 (0.210) Data 0.049 (0.047) Loss 2.5014 (2.2946) Prec@1 42.188 (47.531) Prec@5 70.703 (72.853)
Epoch: [105][3210/5005] Time 0.218 (0.210) Data 0.044 (0.047) Loss 2.3416 (2.2945) Prec@1 47.266 (47.531) Prec@5 70.312 (72.854)
Epoch: [105][3220/5005] Time 0.209 (0.210) Data 0.041 (0.047) Loss 2.2842 (2.2946) Prec@1 46.094 (47.533) Prec@5 73.828 (72.854)
Epoch: [105][3230/5005] Time 0.204 (0.210) Data 0.049 (0.047) Loss 2.2312 (2.2944) Prec@1 50.000 (47.539) Prec@5 71.875 (72.855)
Epoch: [105][3240/5005] Time 0.206 (0.210) Data 0.047 (0.047) Loss 2.4711 (2.2948) Prec@1 45.703 (47.532) Prec@5 72.266 (72.849)
Epoch: [105][3250/5005] Time 0.204 (0.210) Data 0.043 (0.047) Loss 2.2966 (2.2950) Prec@1 46.484 (47.527) Prec@5 74.219 (72.847)
Epoch: [105][3260/5005] Time 0.204 (0.210) Data 0.045 (0.047) Loss 2.1920 (2.2949) Prec@1 50.000 (47.526) Prec@5 76.172 (72.848)
Epoch: [105][3270/5005] Time 0.214 (0.210) Data 0.046 (0.047) Loss 2.4473 (2.2949) Prec@1 43.359 (47.525) Prec@5 69.141 (72.849)
Epoch: [105][3280/5005] Time 0.207 (0.210) Data 0.046 (0.047) Loss 2.1194 (2.2950) Prec@1 50.391 (47.520) Prec@5 76.953 (72.847)
Epoch: [105][3290/5005] Time 0.200 (0.210) Data 0.048 (0.047) Loss 2.1343 (2.2948) Prec@1 51.172 (47.522) Prec@5 73.047 (72.849)
Epoch: [105][3300/5005] Time 0.214 (0.210) Data 0.043 (0.047) Loss 2.2331 (2.2947) Prec@1 44.141 (47.521) Prec@5 73.438 (72.848)
Epoch: [105][3310/5005] Time 0.207 (0.210) Data 0.042 (0.047) Loss 2.0855 (2.2947) Prec@1 52.734 (47.523) Prec@5 73.828 (72.849)
Epoch: [105][3320/5005] Time 0.209 (0.210) Data 0.041 (0.047) Loss 2.2940 (2.2946) Prec@1 48.047 (47.523) Prec@5 71.875 (72.852)
Epoch: [105][3330/5005] Time 0.211 (0.210) Data 0.044 (0.047) Loss 2.3536 (2.2948) Prec@1 46.484 (47.523) Prec@5 70.703 (72.850)
Epoch: [105][3340/5005] Time 0.195 (0.210) Data 0.053 (0.047) Loss 2.3675 (2.2949) Prec@1 46.094 (47.521) Prec@5 72.656 (72.850)
Epoch: [105][3350/5005] Time 0.204 (0.210) Data 0.045 (0.047) Loss 2.3462 (2.2948) Prec@1 44.922 (47.518) Prec@5 73.828 (72.853)
Epoch: [105][3360/5005] Time 0.208 (0.210) Data 0.050 (0.047) Loss 2.2272 (2.2947) Prec@1 50.781 (47.521) Prec@5 73.828 (72.855)
Epoch: [105][3370/5005] Time 0.209 (0.210) Data 0.050 (0.047) Loss 2.3058 (2.2947) Prec@1 46.875 (47.520) Prec@5 73.438 (72.855)
Epoch: [105][3380/5005] Time 0.214 (0.210) Data 0.043 (0.047) Loss 2.3236 (2.2947) Prec@1 45.703 (47.518) Prec@5 71.875 (72.854)
Epoch: [105][3390/5005] Time 0.215 (0.210) Data 0.046 (0.047) Loss 2.1662 (2.2948) Prec@1 49.219 (47.515) Prec@5 74.219 (72.852)
Epoch: [105][3400/5005] Time 0.212 (0.210) Data 0.042 (0.047) Loss 2.0977 (2.2948) Prec@1 51.562 (47.512) Prec@5 75.391 (72.850)
Epoch: [105][3410/5005] Time 0.211 (0.210) Data 0.039 (0.047) Loss 2.3110 (2.2947) Prec@1 46.484 (47.513) Prec@5 73.828 (72.854)
Epoch: [105][3420/5005] Time 0.208 (0.210) Data 0.047 (0.047) Loss 2.2214 (2.2948) Prec@1 48.828 (47.513) Prec@5 74.219 (72.854)
Epoch: [105][3430/5005] Time 0.206 (0.210) Data 0.052 (0.047) Loss 2.3024 (2.2947) Prec@1 43.750 (47.515) Prec@5 72.266 (72.855)
Epoch: [105][3440/5005] Time 0.216 (0.210) Data 0.052 (0.047) Loss 2.3078 (2.2946) Prec@1 48.828 (47.516) Prec@5 71.484 (72.859)
Epoch: [105][3450/5005] Time 0.210 (0.210) Data 0.050 (0.047) Loss 2.1543 (2.2945) Prec@1 48.438 (47.517) Prec@5 75.391 (72.859)
Epoch: [105][3460/5005] Time 0.203 (0.210) Data 0.058 (0.047) Loss 2.2343 (2.2945) Prec@1 47.656 (47.518) Prec@5 72.656 (72.860)
Epoch: [105][3470/5005] Time 0.203 (0.210) Data 0.051 (0.047) Loss 2.1448 (2.2944) Prec@1 48.828 (47.520) Prec@5 75.781 (72.864)
Epoch: [105][3480/5005] Time 0.218 (0.210) Data 0.046 (0.047) Loss 2.2412 (2.2942) Prec@1 48.047 (47.521) Prec@5 74.609 (72.866)
Epoch: [105][3490/5005] Time 0.211 (0.210) Data 0.047 (0.047) Loss 2.3797 (2.2942) Prec@1 43.750 (47.520) Prec@5 73.047 (72.865)
Epoch: [105][3500/5005] Time 0.202 (0.210) Data 0.044 (0.047) Loss 2.1333 (2.2942) Prec@1 50.000 (47.520) Prec@5 77.344 (72.866)
Epoch: [105][3510/5005] Time 0.200 (0.210) Data 0.051 (0.047) Loss 2.2107 (2.2941) Prec@1 48.438 (47.521) Prec@5 73.438 (72.865)
Epoch: [105][3520/5005] Time 0.202 (0.210) Data 0.061 (0.047) Loss 2.4903 (2.2943) Prec@1 44.922 (47.518) Prec@5 68.359 (72.862)
Epoch: [105][3530/5005] Time 0.209 (0.210) Data 0.042 (0.047) Loss 2.2785 (2.2942) Prec@1 49.609 (47.520) Prec@5 73.047 (72.865)
Epoch: [105][3540/5005] Time 0.203 (0.210) Data 0.046 (0.047) Loss 2.2000 (2.2941) Prec@1 47.266 (47.522) Prec@5 78.906 (72.869)
Epoch: [105][3550/5005] Time 0.204 (0.210) Data 0.051 (0.047) Loss 2.2935 (2.2939) Prec@1 44.531 (47.523) Prec@5 71.875 (72.870)
Epoch: [105][3560/5005] Time 0.195 (0.210) Data 0.045 (0.047) Loss 2.3996 (2.2939) Prec@1 48.047 (47.522) Prec@5 70.312 (72.870)
Epoch: [105][3570/5005] Time 0.197 (0.210) Data 0.051 (0.047) Loss 2.3519 (2.2939) Prec@1 45.312 (47.520) Prec@5 72.656 (72.868)
Epoch: [105][3580/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.1416 (2.2939) Prec@1 51.172 (47.522) Prec@5 73.438 (72.870)
Epoch: [105][3590/5005] Time 0.215 (0.210) Data 0.045 (0.047) Loss 2.3532 (2.2937) Prec@1 47.656 (47.523) Prec@5 72.266 (72.873)
Epoch: [105][3600/5005] Time 0.197 (0.210) Data 0.042 (0.047) Loss 2.3796 (2.2935) Prec@1 46.875 (47.525) Prec@5 73.047 (72.877)
Epoch: [105][3610/5005] Time 0.209 (0.210) Data 0.048 (0.047) Loss 2.1703 (2.2935) Prec@1 47.656 (47.526) Prec@5 76.953 (72.880)
Epoch: [105][3620/5005] Time 0.211 (0.210) Data 0.043 (0.047) Loss 2.4725 (2.2933) Prec@1 42.969 (47.531) Prec@5 73.047 (72.882)
Epoch: [105][3630/5005] Time 0.207 (0.210) Data 0.045 (0.047) Loss 2.4837 (2.2932) Prec@1 46.094 (47.533) Prec@5 67.188 (72.884)
Epoch: [105][3640/5005] Time 0.213 (0.210) Data 0.046 (0.047) Loss 2.4438 (2.2933) Prec@1 44.531 (47.533) Prec@5 69.922 (72.882)
Epoch: [105][3650/5005] Time 0.209 (0.210) Data 0.043 (0.047) Loss 2.1562 (2.2933) Prec@1 52.344 (47.533) Prec@5 75.000 (72.882)
Epoch: [105][3660/5005] Time 0.202 (0.210) Data 0.046 (0.047) Loss 2.3766 (2.2931) Prec@1 46.094 (47.537) Prec@5 69.922 (72.887)
Epoch: [105][3670/5005] Time 0.207 (0.210) Data 0.045 (0.047) Loss 2.4927 (2.2931) Prec@1 45.312 (47.536) Prec@5 67.969 (72.887)
Epoch: [105][3680/5005] Time 0.218 (0.210) Data 0.042 (0.047) Loss 2.1698 (2.2932) Prec@1 48.828 (47.536) Prec@5 73.047 (72.887)
Epoch: [105][3690/5005] Time 0.207 (0.210) Data 0.047 (0.047) Loss 2.1127 (2.2931) Prec@1 46.484 (47.537) Prec@5 76.172 (72.890)
Epoch: [105][3700/5005] Time 0.208 (0.210) Data 0.048 (0.047) Loss 2.3388 (2.2930) Prec@1 48.828 (47.538) Prec@5 74.219 (72.891)
Epoch: [105][3710/5005] Time 0.207 (0.210) Data 0.054 (0.047) Loss 2.1976 (2.2930) Prec@1 49.219 (47.538) Prec@5 75.391 (72.892)
Epoch: [105][3720/5005] Time 0.196 (0.210) Data 0.043 (0.047) Loss 2.4916 (2.2929) Prec@1 50.391 (47.538) Prec@5 72.266 (72.895)
Epoch: [105][3730/5005] Time 0.203 (0.210) Data 0.045 (0.047) Loss 2.1262 (2.2928) Prec@1 53.516 (47.539) Prec@5 74.219 (72.895)
Epoch: [105][3740/5005] Time 0.209 (0.210) Data 0.060 (0.047) Loss 2.1949 (2.2925) Prec@1 48.828 (47.543) Prec@5 75.781 (72.899)
Epoch: [105][3750/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.1478 (2.2925) Prec@1 48.047 (47.542) Prec@5 75.000 (72.896)
Epoch: [105][3760/5005] Time 0.213 (0.210) Data 0.043 (0.047) Loss 2.2635 (2.2927) Prec@1 46.875 (47.539) Prec@5 71.875 (72.893)
Epoch: [105][3770/5005] Time 0.209 (0.210) Data 0.040 (0.047) Loss 2.4081 (2.2925) Prec@1 47.656 (47.541) Prec@5 70.312 (72.896)
Epoch: [105][3780/5005] Time 0.206 (0.210) Data 0.054 (0.047) Loss 2.2150 (2.2925) Prec@1 49.219 (47.543) Prec@5 73.047 (72.898)
Epoch: [105][3790/5005] Time 0.211 (0.210) Data 0.046 (0.047) Loss 2.4015 (2.2927) Prec@1 44.531 (47.536) Prec@5 73.438 (72.896)
Epoch: [105][3800/5005] Time 0.203 (0.210) Data 0.047 (0.047) Loss 2.1367 (2.2929) Prec@1 50.000 (47.533) Prec@5 75.000 (72.893)
Epoch: [105][3810/5005] Time 0.211 (0.210) Data 0.045 (0.047) Loss 2.1484 (2.2929) Prec@1 50.391 (47.530) Prec@5 74.219 (72.892)
Epoch: [105][3820/5005] Time 0.217 (0.210) Data 0.045 (0.047) Loss 2.2634 (2.2927) Prec@1 50.781 (47.536) Prec@5 76.172 (72.895)
Epoch: [105][3830/5005] Time 0.220 (0.210) Data 0.050 (0.047) Loss 2.4034 (2.2926) Prec@1 44.531 (47.536) Prec@5 68.750 (72.894)
Epoch: [105][3840/5005] Time 0.210 (0.210) Data 0.049 (0.047) Loss 2.5796 (2.2927) Prec@1 42.969 (47.536) Prec@5 68.359 (72.892)
Epoch: [105][3850/5005] Time 0.203 (0.210) Data 0.044 (0.047) Loss 2.3959 (2.2927) Prec@1 45.312 (47.534) Prec@5 67.969 (72.890)
Epoch: [105][3860/5005] Time 0.200 (0.210) Data 0.044 (0.047) Loss 2.1494 (2.2926) Prec@1 52.734 (47.537) Prec@5 75.781 (72.890)
Epoch: [105][3870/5005] Time 0.202 (0.210) Data 0.054 (0.047) Loss 2.1591 (2.2926) Prec@1 49.609 (47.536) Prec@5 76.562 (72.890)
Epoch: [105][3880/5005] Time 0.205 (0.210) Data 0.055 (0.047) Loss 2.1125 (2.2926) Prec@1 57.031 (47.540) Prec@5 76.172 (72.890)
Epoch: [105][3890/5005] Time 0.213 (0.210) Data 0.047 (0.047) Loss 2.5364 (2.2926) Prec@1 41.406 (47.540) Prec@5 68.750 (72.887)
Epoch: [105][3900/5005] Time 0.214 (0.210) Data 0.044 (0.047) Loss 2.4700 (2.2927) Prec@1 41.406 (47.539) Prec@5 70.703 (72.887)
Epoch: [105][3910/5005] Time 0.205 (0.210) Data 0.045 (0.047) Loss 2.2540 (2.2928) Prec@1 46.094 (47.536) Prec@5 75.391 (72.889)
Epoch: [105][3920/5005] Time 0.215 (0.210) Data 0.045 (0.047) Loss 2.2257 (2.2928) Prec@1 51.172 (47.535) Prec@5 71.094 (72.887)
Epoch: [105][3930/5005] Time 0.203 (0.210) Data 0.043 (0.047) Loss 2.2169 (2.2926) Prec@1 48.828 (47.538) Prec@5 74.219 (72.892)
Epoch: [105][3940/5005] Time 0.207 (0.210) Data 0.049 (0.047) Loss 2.3083 (2.2926) Prec@1 48.828 (47.539) Prec@5 69.531 (72.893)
Epoch: [105][3950/5005] Time 0.206 (0.210) Data 0.061 (0.047) Loss 2.1848 (2.2924) Prec@1 51.562 (47.546) Prec@5 76.562 (72.896)
Epoch: [105][3960/5005] Time 0.200 (0.210) Data 0.047 (0.047) Loss 2.2548 (2.2925) Prec@1 46.875 (47.544) Prec@5 75.000 (72.892)
Epoch: [105][3970/5005] Time 0.194 (0.209) Data 0.041 (0.047) Loss 2.2438 (2.2925) Prec@1 48.438 (47.545) Prec@5 71.875 (72.893)
Epoch: [105][3980/5005] Time 0.215 (0.209) Data 0.047 (0.047) Loss 2.1184 (2.2924) Prec@1 48.828 (47.545) Prec@5 76.953 (72.894)
Epoch: [105][3990/5005] Time 0.196 (0.209) Data 0.044 (0.047) Loss 2.4347 (2.2925) Prec@1 42.969 (47.540) Prec@5 71.484 (72.893)
Epoch: [105][4000/5005] Time 0.212 (0.209) Data 0.043 (0.047) Loss 2.1149 (2.2924) Prec@1 50.781 (47.540) Prec@5 75.391 (72.894)
Epoch: [105][4010/5005] Time 0.214 (0.209) Data 0.060 (0.047) Loss 2.3382 (2.2923) Prec@1 44.141 (47.541) Prec@5 72.656 (72.896)
Epoch: [105][4020/5005] Time 0.212 (0.209) Data 0.043 (0.047) Loss 2.4154 (2.2923) Prec@1 45.703 (47.540) Prec@5 73.438 (72.897)
Epoch: [105][4030/5005] Time 0.214 (0.209) Data 0.043 (0.047) Loss 2.4921 (2.2925) Prec@1 44.922 (47.537) Prec@5 72.266 (72.894)
Epoch: [105][4040/5005] Time 0.201 (0.209) Data 0.058 (0.047) Loss 2.2543 (2.2927) Prec@1 50.781 (47.535) Prec@5 74.609 (72.892)
Epoch: [105][4050/5005] Time 0.201 (0.209) Data 0.065 (0.047) Loss 2.5259 (2.2926) Prec@1 46.094 (47.536) Prec@5 66.797 (72.893)
Epoch: [105][4060/5005] Time 0.208 (0.209) Data 0.041 (0.047) Loss 2.3366 (2.2926) Prec@1 45.703 (47.537) Prec@5 71.094 (72.892)
Epoch: [105][4070/5005] Time 0.200 (0.209) Data 0.041 (0.047) Loss 2.3574 (2.2926) Prec@1 47.266 (47.538) Prec@5 72.266 (72.893)
Epoch: [105][4080/5005] Time 0.211 (0.209) Data 0.045 (0.047) Loss 2.2513 (2.2927) Prec@1 48.438 (47.541) Prec@5 73.047 (72.890)
Epoch: [105][4090/5005] Time 0.210 (0.209) Data 0.042 (0.047) Loss 2.5134 (2.2926) Prec@1 42.578 (47.543) Prec@5 69.141 (72.891)
Epoch: [105][4100/5005] Time 0.196 (0.209) Data 0.044 (0.047) Loss 2.1483 (2.2926) Prec@1 47.266 (47.543) Prec@5 77.734 (72.893)
Epoch: [105][4110/5005] Time 0.210 (0.209) Data 0.046 (0.047) Loss 2.1817 (2.2924) Prec@1 48.047 (47.542) Prec@5 75.781 (72.895)
Epoch: [105][4120/5005] Time 0.206 (0.209) Data 0.047 (0.047) Loss 2.3547 (2.2923) Prec@1 45.703 (47.543) Prec@5 70.312 (72.896)
Epoch: [105][4130/5005] Time 0.203 (0.209) Data 0.045 (0.047) Loss 2.3891 (2.2923) Prec@1 47.266 (47.544) Prec@5 69.922 (72.898)
Epoch: [105][4140/5005] Time 0.208 (0.209) Data 0.043 (0.047) Loss 2.2942 (2.2923) Prec@1 52.344 (47.546) Prec@5 72.656 (72.895)
Epoch: [105][4150/5005] Time 0.210 (0.209) Data 0.045 (0.047) Loss 2.4423 (2.2923) Prec@1 46.875 (47.546) Prec@5 73.438 (72.896)
Epoch: [105][4160/5005] Time 0.211 (0.209) Data 0.043 (0.047) Loss 2.2375 (2.2924) Prec@1 47.266 (47.544) Prec@5 76.953 (72.895)
Epoch: [105][4170/5005] Time 0.212 (0.209) Data 0.044 (0.047) Loss 2.1292 (2.2923) Prec@1 50.000 (47.548) Prec@5 75.391 (72.899)
Epoch: [105][4180/5005] Time 0.218 (0.209) Data 0.048 (0.047) Loss 2.1757 (2.2922) Prec@1 54.297 (47.551) Prec@5 76.953 (72.902)
Epoch: [105][4190/5005] Time 0.211 (0.209) Data 0.046 (0.047) Loss 2.2004 (2.2922) Prec@1 51.562 (47.552) Prec@5 72.266 (72.901)
Epoch: [105][4200/5005] Time 0.210 (0.209) Data 0.048 (0.047) Loss 2.1775 (2.2922) Prec@1 48.047 (47.551) Prec@5 73.828 (72.900)
Epoch: [105][4210/5005] Time 0.205 (0.209) Data 0.063 (0.047) Loss 2.1582 (2.2923) Prec@1 51.172 (47.551) Prec@5 74.219 (72.898)
Epoch: [105][4220/5005] Time 0.196 (0.209) Data 0.044 (0.047) Loss 2.4314 (2.2924) Prec@1 47.656 (47.549) Prec@5 70.703 (72.894)
Epoch: [105][4230/5005] Time 0.199 (0.209) Data 0.044 (0.047) Loss 2.2974 (2.2924) Prec@1 45.312 (47.549) Prec@5 73.438 (72.895)
Epoch: [105][4240/5005] Time 0.203 (0.209) Data 0.054 (0.047) Loss 2.0799 (2.2923) Prec@1 53.125 (47.549) Prec@5 80.078 (72.897)
Epoch: [105][4250/5005] Time 0.207 (0.209) Data 0.055 (0.047) Loss 2.3034 (2.2923) Prec@1 50.391 (47.552) Prec@5 71.094 (72.896)
Epoch: [105][4260/5005] Time 0.205 (0.209) Data 0.045 (0.047) Loss 2.2011 (2.2922) Prec@1 48.047 (47.555) Prec@5 76.172 (72.899)
Epoch: [105][4270/5005] Time 0.204 (0.209) Data 0.045 (0.047) Loss 2.5321 (2.2922) Prec@1 42.969 (47.555) Prec@5 68.750 (72.898)
Epoch: [105][4280/5005] Time 0.203 (0.209) Data 0.060 (0.047) Loss 2.3123 (2.2921) Prec@1 46.094 (47.557) Prec@5 73.438 (72.901)
Epoch: [105][4290/5005] Time 0.206 (0.209) Data 0.047 (0.047) Loss 2.5092 (2.2921) Prec@1 44.141 (47.555) Prec@5 70.703 (72.899)
Epoch: [105][4300/5005] Time 0.212 (0.209) Data 0.044 (0.047) Loss 2.1290 (2.2920) Prec@1 45.312 (47.558) Prec@5 75.781 (72.902)
Epoch: [105][4310/5005] Time 0.203 (0.209) Data 0.043 (0.047) Loss 2.1750 (2.2919) Prec@1 46.875 (47.559) Prec@5 73.828 (72.904)
Epoch: [105][4320/5005] Time 0.208 (0.209) Data 0.043 (0.047) Loss 2.2616 (2.2919) Prec@1 51.172 (47.561) Prec@5 75.391 (72.905)
Epoch: [105][4330/5005] Time 0.210 (0.209) Data 0.044 (0.047) Loss 2.0870 (2.2918) Prec@1 48.828 (47.562) Prec@5 77.344 (72.905)
Epoch: [105][4340/5005] Time 0.207 (0.209) Data 0.042 (0.047) Loss 2.2608 (2.2919) Prec@1 44.922 (47.559) Prec@5 73.047 (72.903)
Epoch: [105][4350/5005] Time 0.212 (0.209) Data 0.043 (0.047) Loss 2.2251 (2.2917) Prec@1 47.656 (47.562) Prec@5 73.828 (72.905)
Epoch: [105][4360/5005] Time 0.209 (0.209) Data 0.045 (0.047) Loss 2.1101 (2.2915) Prec@1 46.484 (47.566) Prec@5 75.000 (72.909)
Epoch: [105][4370/5005] Time 0.203 (0.209) Data 0.048 (0.047) Loss 2.2569 (2.2915) Prec@1 46.875 (47.568) Prec@5 73.828 (72.907)
Epoch: [105][4380/5005] Time 0.214 (0.209) Data 0.043 (0.047) Loss 2.3635 (2.2916) Prec@1 42.969 (47.564) Prec@5 73.047 (72.908)
Epoch: [105][4390/5005] Time 0.215 (0.209) Data 0.042 (0.047) Loss 2.3821 (2.2915) Prec@1 48.828 (47.568) Prec@5 67.969 (72.909)
Epoch: [105][4400/5005] Time 0.196 (0.209) Data 0.042 (0.047) Loss 2.0608 (2.2914) Prec@1 48.047 (47.568) Prec@5 78.125 (72.911)
Epoch: [105][4410/5005] Time 0.214 (0.209) Data 0.045 (0.047) Loss 2.2533 (2.2913) Prec@1 44.922 (47.569) Prec@5 72.656 (72.912)
Epoch: [105][4420/5005] Time 0.208 (0.209) Data 0.045 (0.047) Loss 2.0582 (2.2913) Prec@1 51.562 (47.568) Prec@5 75.781 (72.915)
Epoch: [105][4430/5005] Time 0.209 (0.209) Data 0.048 (0.047) Loss 2.2454 (2.2911) Prec@1 46.875 (47.573) Prec@5 73.438 (72.919)
Epoch: [105][4440/5005] Time 0.206 (0.209) Data 0.050 (0.047) Loss 2.3972 (2.2911) Prec@1 45.312 (47.574) Prec@5 72.656 (72.920)
Epoch: [105][4450/5005] Time 0.212 (0.209) Data 0.044 (0.047) Loss 2.0783 (2.2910) Prec@1 48.438 (47.574) Prec@5 76.953 (72.921)
Epoch: [105][4460/5005] Time 0.212 (0.209) Data 0.049 (0.047) Loss 2.5117 (2.2910) Prec@1 41.797 (47.573) Prec@5 69.531 (72.920)
Epoch: [105][4470/5005] Time 0.207 (0.209) Data 0.055 (0.047) Loss 2.1575 (2.2910) Prec@1 46.875 (47.571) Prec@5 78.125 (72.921)
Epoch: [105][4480/5005] Time 0.209 (0.209) Data 0.042 (0.047) Loss 2.1156 (2.2910) Prec@1 50.000 (47.571) Prec@5 74.609 (72.921)
Epoch: [105][4490/5005] Time 0.208 (0.209) Data 0.042 (0.047) Loss 2.3130 (2.2911) Prec@1 48.828 (47.569) Prec@5 70.312 (72.919)
Epoch: [105][4500/5005] Time 0.213 (0.209) Data 0.048 (0.047) Loss 2.2625 (2.2911) Prec@1 45.703 (47.569) Prec@5 73.438 (72.920)
Epoch: [105][4510/5005] Time 0.208 (0.209) Data 0.047 (0.047) Loss 2.1441 (2.2912) Prec@1 50.391 (47.568) Prec@5 73.828 (72.918)
Epoch: [105][4520/5005] Time 0.213 (0.209) Data 0.045 (0.047) Loss 2.3002 (2.2911) Prec@1 49.219 (47.570) Prec@5 74.609 (72.920)
Epoch: [105][4530/5005] Time 0.206 (0.209) Data 0.051 (0.047) Loss 2.2589 (2.2911) Prec@1 49.609 (47.571) Prec@5 76.562 (72.920)
Epoch: [105][4540/5005] Time 0.212 (0.209) Data 0.043 (0.047) Loss 2.4169 (2.2912) Prec@1 48.047 (47.571) Prec@5 74.609 (72.920)
Epoch: [105][4550/5005] Time 0.195 (0.209) Data 0.047 (0.047) Loss 2.3366 (2.2911) Prec@1 45.703 (47.575) Prec@5 69.141 (72.922)
Epoch: [105][4560/5005] Time 0.210 (0.209) Data 0.043 (0.047) Loss 2.3755 (2.2910) Prec@1 49.219 (47.577) Prec@5 71.094 (72.922)
Epoch: [105][4570/5005] Time 0.209 (0.209) Data 0.043 (0.047) Loss 2.4009 (2.2909) Prec@1 46.484 (47.579) Prec@5 70.312 (72.923)
Epoch: [105][4580/5005] Time 0.209 (0.209) Data 0.051 (0.047) Loss 2.3406 (2.2909) Prec@1 40.625 (47.578) Prec@5 70.312 (72.923)
Epoch: [105][4590/5005] Time 0.203 (0.209) Data 0.046 (0.047) Loss 2.2125 (2.2909) Prec@1 50.781 (47.577) Prec@5 75.781 (72.925)
Epoch: [105][4600/5005] Time 0.205 (0.209) Data 0.043 (0.047) Loss 2.1057 (2.2910) Prec@1 50.391 (47.576) Prec@5 76.172 (72.921)
Epoch: [105][4610/5005] Time 0.204 (0.209) Data 0.043 (0.047) Loss 2.0479 (2.2909) Prec@1 52.734 (47.579) Prec@5 76.172 (72.922)
Epoch: [105][4620/5005] Time 0.211 (0.209) Data 0.043 (0.047) Loss 2.2140 (2.2909) Prec@1 49.609 (47.581) Prec@5 71.875 (72.920)
Epoch: [105][4630/5005] Time 0.212 (0.209) Data 0.045 (0.047) Loss 2.0597 (2.2907) Prec@1 53.125 (47.584) Prec@5 76.953 (72.922)
Epoch: [105][4640/5005] Time 0.209 (0.209) Data 0.042 (0.047) Loss 2.3196 (2.2907) Prec@1 47.266 (47.584) Prec@5 72.656 (72.923)
Epoch: [105][4650/5005] Time 0.215 (0.209) Data 0.052 (0.047) Loss 2.2358 (2.2906) Prec@1 48.438 (47.585) Prec@5 72.656 (72.923)
Epoch: [105][4660/5005] Time 0.207 (0.209) Data 0.048 (0.047) Loss 2.5000 (2.2906) Prec@1 45.703 (47.584) Prec@5 67.969 (72.922)
Epoch: [105][4670/5005] Time 0.206 (0.209) Data 0.048 (0.047) Loss 2.3015 (2.2906) Prec@1 49.609 (47.587) Prec@5 70.703 (72.921)
Epoch: [105][4680/5005] Time 0.202 (0.209) Data 0.052 (0.047) Loss 2.1851 (2.2906) Prec@1 47.266 (47.585) Prec@5 76.562 (72.921)
Epoch: [105][4690/5005] Time 0.193 (0.209) Data 0.046 (0.047) Loss 2.1904 (2.2906) Prec@1 46.875 (47.585) Prec@5 75.000 (72.922)
Epoch: [105][4700/5005] Time 0.207 (0.209) Data 0.048 (0.047) Loss 2.3202 (2.2905) Prec@1 46.484 (47.587) Prec@5 74.219 (72.922)
Epoch: [105][4710/5005] Time 0.215 (0.209) Data 0.044 (0.047) Loss 2.1695 (2.2904) Prec@1 49.219 (47.588) Prec@5 76.172 (72.924)
Epoch: [105][4720/5005] Time 0.200 (0.209) Data 0.048 (0.047) Loss 2.1211 (2.2904) Prec@1 50.781 (47.587) Prec@5 75.391 (72.925)
Epoch: [105][4730/5005] Time 0.198 (0.209) Data 0.047 (0.047) Loss 2.2046 (2.2905) Prec@1 48.828 (47.585) Prec@5 75.000 (72.923)
Epoch: [105][4740/5005] Time 0.214 (0.209) Data 0.043 (0.047) Loss 2.1213 (2.2904) Prec@1 45.312 (47.587) Prec@5 77.344 (72.929)
Epoch: [105][4750/5005] Time 0.209 (0.209) Data 0.048 (0.047) Loss 2.2480 (2.2902) Prec@1 48.047 (47.589) Prec@5 73.047 (72.930)
Epoch: [105][4760/5005] Time 0.200 (0.209) Data 0.059 (0.047) Loss 2.4689 (2.2901) Prec@1 41.016 (47.592) Prec@5 69.531 (72.931)
Epoch: [105][4770/5005] Time 0.205 (0.209) Data 0.050 (0.047) Loss 2.1458 (2.2901) Prec@1 52.344 (47.590) Prec@5 76.172 (72.932)
Epoch: [105][4780/5005] Time 0.205 (0.209) Data 0.049 (0.047) Loss 2.3712 (2.2902) Prec@1 46.094 (47.592) Prec@5 74.609 (72.932)
Epoch: [105][4790/5005] Time 0.217 (0.209) Data 0.042 (0.047) Loss 2.4311 (2.2902) Prec@1 45.703 (47.592) Prec@5 69.922 (72.932)
Epoch: [105][4800/5005] Time 0.205 (0.209) Data 0.046 (0.047) Loss 2.3256 (2.2901) Prec@1 45.312 (47.593) Prec@5 73.828 (72.935)
Epoch: [105][4810/5005] Time 0.203 (0.209) Data 0.049 (0.047) Loss 2.5009 (2.2900) Prec@1 44.531 (47.592) Prec@5 69.922 (72.936)
Epoch: [105][4820/5005] Time 0.209 (0.209) Data 0.051 (0.047) Loss 2.2979 (2.2899) Prec@1 49.609 (47.595) Prec@5 69.922 (72.937)
Epoch: [105][4830/5005] Time 0.217 (0.209) Data 0.041 (0.047) Loss 2.3229 (2.2897) Prec@1 44.922 (47.597) Prec@5 70.312 (72.938)
Epoch: [105][4840/5005] Time 0.207 (0.209) Data 0.046 (0.047) Loss 2.1615 (2.2898) Prec@1 51.172 (47.595) Prec@5 73.438 (72.935)
Epoch: [105][4850/5005] Time 0.203 (0.209) Data 0.044 (0.047) Loss 2.3607 (2.2900) Prec@1 47.656 (47.591) Prec@5 69.922 (72.931)
Epoch: [105][4860/5005] Time 0.202 (0.209) Data 0.043 (0.047) Loss 2.2481 (2.2899) Prec@1 48.047 (47.594) Prec@5 73.828 (72.932)
Epoch: [105][4870/5005] Time 0.212 (0.209) Data 0.042 (0.047) Loss 2.2920 (2.2900) Prec@1 50.391 (47.595) Prec@5 71.094 (72.931)
Epoch: [105][4880/5005] Time 0.214 (0.209) Data 0.044 (0.047) Loss 2.1937 (2.2899) Prec@1 48.438 (47.597) Prec@5 73.828 (72.933)
Epoch: [105][4890/5005] Time 0.205 (0.209) Data 0.048 (0.047) Loss 2.3510 (2.2898) Prec@1 47.266 (47.599) Prec@5 71.094 (72.933)
Epoch: [105][4900/5005] Time 0.219 (0.209) Data 0.047 (0.047) Loss 2.1962 (2.2897) Prec@1 48.047 (47.599) Prec@5 74.219 (72.932)
Epoch: [105][4910/5005] Time 0.215 (0.209) Data 0.045 (0.047) Loss 2.1183 (2.2895) Prec@1 51.172 (47.604) Prec@5 76.562 (72.935)
Epoch: [105][4920/5005] Time 0.215 (0.209) Data 0.054 (0.047) Loss 2.3251 (2.2895) Prec@1 42.188 (47.602) Prec@5 69.922 (72.936)
Epoch: [105][4930/5005] Time 0.207 (0.209) Data 0.043 (0.047) Loss 2.4900 (2.2894) Prec@1 41.406 (47.601) Prec@5 71.875 (72.937)
Epoch: [105][4940/5005] Time 0.204 (0.209) Data 0.049 (0.047) Loss 2.2838 (2.2896) Prec@1 51.953 (47.601) Prec@5 73.047 (72.935)
Epoch: [105][4950/5005] Time 0.206 (0.209) Data 0.047 (0.047) Loss 1.9848 (2.2896) Prec@1 50.391 (47.601) Prec@5 75.000 (72.934)
Epoch: [105][4960/5005] Time 0.205 (0.209) Data 0.048 (0.047) Loss 2.3819 (2.2895) Prec@1 47.266 (47.604) Prec@5 72.266 (72.935)
Epoch: [105][4970/5005] Time 0.213 (0.209) Data 0.046 (0.047) Loss 2.5059 (2.2895) Prec@1 41.797 (47.604) Prec@5 71.094 (72.938)
Epoch: [105][4980/5005] Time 0.212 (0.209) Data 0.039 (0.047) Loss 2.3467 (2.2893) Prec@1 48.828 (47.607) Prec@5 72.656 (72.941)
Epoch: [105][4990/5005] Time 0.207 (0.209) Data 0.022 (0.047) Loss 2.5142 (2.2893) Prec@1 41.406 (47.607) Prec@5 68.750 (72.941)
Epoch: [105][5000/5005] Time 0.204 (0.209) Data 0.021 (0.047) Loss 2.2780 (2.2892) Prec@1 48.438 (47.609) Prec@5 74.219 (72.941)
Test: [0/196] Time 1.676 (1.676) Loss 2.3574 (2.3574) Prec@1 49.219 (49.219) Prec@5 71.875 (71.875)
Test: [10/196] Time 0.045 (0.297) Loss 2.4810 (2.5414) Prec@1 47.266 (44.851) Prec@5 73.438 (69.957)
Test: [20/196] Time 0.044 (0.226) Loss 2.4723 (2.5564) Prec@1 47.266 (44.085) Prec@5 71.484 (69.568)
Test: [30/196] Time 0.042 (0.204) Loss 2.4438 (2.5553) Prec@1 43.359 (43.826) Prec@5 71.094 (69.418)
Test: [40/196] Time 0.043 (0.203) Loss 2.3305 (2.5525) Prec@1 50.391 (44.169) Prec@5 73.828 (69.360)
Test: [50/196] Time 0.043 (0.198) Loss 2.6279 (2.5525) Prec@1 45.312 (44.164) Prec@5 69.531 (69.378)
Test: [60/196] Time 0.042 (0.191) Loss 2.4779 (2.5363) Prec@1 47.266 (44.570) Prec@5 69.922 (69.576)
Test: [70/196] Time 0.281 (0.187) Loss 2.4731 (2.5296) Prec@1 47.266 (44.669) Prec@5 68.750 (69.713)
Test: [80/196] Time 0.214 (0.186) Loss 2.3892 (2.5347) Prec@1 51.562 (44.599) Prec@5 76.953 (69.657)
Test: [90/196] Time 0.279 (0.187) Loss 2.6559 (2.5378) Prec@1 46.094 (44.561) Prec@5 67.969 (69.664)
Test: [100/196] Time 0.042 (0.185) Loss 2.5617 (2.5369) Prec@1 46.094 (44.756) Prec@5 70.312 (69.655)
Test: [110/196] Time 0.498 (0.184) Loss 2.7277 (2.5392) Prec@1 39.844 (44.735) Prec@5 64.453 (69.637)
Test: [120/196] Time 0.041 (0.181) Loss 2.3532 (2.5361) Prec@1 45.312 (44.764) Prec@5 72.656 (69.712)
Test: [130/196] Time 0.162 (0.180) Loss 2.2091 (2.5318) Prec@1 49.219 (44.853) Prec@5 76.562 (69.794)
Test: [140/196] Time 0.315 (0.183) Loss 2.3664 (2.5335) Prec@1 48.047 (44.797) Prec@5 69.531 (69.770)
Test: [150/196] Time 0.045 (0.183) Loss 2.2257 (2.5327) Prec@1 49.219 (44.803) Prec@5 77.344 (69.818)
Test: [160/196] Time 0.042 (0.182) Loss 2.4566 (2.5306) Prec@1 50.391 (44.861) Prec@5 71.094 (69.837)
Test: [170/196] Time 0.093 (0.179) Loss 2.4604 (2.5331) Prec@1 45.312 (44.824) Prec@5 72.656 (69.767)
Test: [180/196] Time 0.043 (0.180) Loss 2.7563 (2.5383) Prec@1 41.016 (44.756) Prec@5 64.844 (69.639)
Test: [190/196] Time 0.299 (0.179) Loss 2.7887 (2.5415) Prec@1 39.844 (44.703) Prec@5 62.500 (69.507)
* Prec@1 44.686 Prec@5 69.516
Learning rate: 1e-07
Epoch: [106][0/5005] Time 1.027 (1.027) Data 0.906 (0.906) Loss 2.2067 (2.2067) Prec@1 48.438 (48.438) Prec@5 75.781 (75.781)
Epoch: [106][10/5005] Time 0.213 (0.294) Data 0.042 (0.130) Loss 2.2853 (2.2995) Prec@1 49.219 (46.733) Prec@5 72.266 (73.580)
Epoch: [106][20/5005] Time 0.202 (0.252) Data 0.044 (0.090) Loss 2.4753 (2.3122) Prec@1 46.484 (46.745) Prec@5 73.047 (73.270)
Epoch: [106][30/5005] Time 0.206 (0.237) Data 0.043 (0.076) Loss 2.1814 (2.2836) Prec@1 51.953 (47.329) Prec@5 73.438 (73.324)
Epoch: [106][40/5005] Time 0.214 (0.229) Data 0.045 (0.069) Loss 2.2662 (2.2899) Prec@1 47.266 (47.151) Prec@5 74.219 (73.314)
Epoch: [106][50/5005] Time 0.206 (0.224) Data 0.044 (0.065) Loss 2.1996 (2.2919) Prec@1 49.219 (47.158) Prec@5 75.000 (73.032)
Epoch: [106][60/5005] Time 0.213 (0.221) Data 0.044 (0.062) Loss 2.3326 (2.2914) Prec@1 42.969 (47.246) Prec@5 71.484 (72.925)
Epoch: [106][70/5005] Time 0.204 (0.219) Data 0.040 (0.060) Loss 2.3294 (2.2971) Prec@1 42.969 (47.150) Prec@5 71.875 (72.805)
Epoch: [106][80/5005] Time 0.215 (0.217) Data 0.042 (0.058) Loss 2.1754 (2.2909) Prec@1 51.562 (47.160) Prec@5 74.609 (72.893)
Epoch: [106][90/5005] Time 0.190 (0.215) Data 0.058 (0.057) Loss 2.3526 (2.2905) Prec@1 49.219 (47.240) Prec@5 71.484 (72.879)
Epoch: [106][100/5005] Time 0.197 (0.214) Data 0.042 (0.055) Loss 2.0871 (2.2887) Prec@1 52.344 (47.386) Prec@5 73.828 (72.795)
Epoch: [106][110/5005] Time 0.203 (0.213) Data 0.048 (0.055) Loss 2.4207 (2.2904) Prec@1 47.656 (47.438) Prec@5 69.531 (72.878)
Epoch: [106][120/5005] Time 0.205 (0.212) Data 0.044 (0.055) Loss 2.2807 (2.2953) Prec@1 46.875 (47.437) Prec@5 72.266 (72.705)
Epoch: [106][130/5005] Time 0.204 (0.211) Data 0.042 (0.054) Loss 2.4566 (2.2948) Prec@1 46.484 (47.439) Prec@5 69.141 (72.677)
Epoch: [106][140/5005] Time 0.206 (0.211) Data 0.043 (0.053) Loss 2.4013 (2.2914) Prec@1 48.047 (47.471) Prec@5 69.531 (72.748)
Epoch: [106][150/5005] Time 0.208 (0.210) Data 0.043 (0.053) Loss 2.2877 (2.2908) Prec@1 45.703 (47.491) Prec@5 71.484 (72.801)
Epoch: [106][160/5005] Time 0.204 (0.210) Data 0.043 (0.052) Loss 2.2310 (2.2941) Prec@1 47.266 (47.428) Prec@5 73.438 (72.780)
Epoch: [106][170/5005] Time 0.207 (0.210) Data 0.041 (0.051) Loss 2.3264 (2.2932) Prec@1 49.609 (47.474) Prec@5 72.656 (72.773)
Epoch: [106][180/5005] Time 0.223 (0.211) Data 0.044 (0.051) Loss 2.4726 (2.2940) Prec@1 48.047 (47.503) Prec@5 68.359 (72.732)
Epoch: [106][190/5005] Time 0.223 (0.211) Data 0.044 (0.051) Loss 2.3515 (2.2984) Prec@1 46.094 (47.362) Prec@5 73.828 (72.705)
Epoch: [106][200/5005] Time 0.220 (0.212) Data 0.044 (0.050) Loss 2.5355 (2.3013) Prec@1 42.188 (47.299) Prec@5 68.750 (72.639)
Epoch: [106][210/5005] Time 0.211 (0.212) Data 0.042 (0.050) Loss 2.2029 (2.3028) Prec@1 51.172 (47.284) Prec@5 73.828 (72.604)
Epoch: [106][220/5005] Time 0.224 (0.213) Data 0.043 (0.050) Loss 2.4171 (2.3035) Prec@1 47.656 (47.305) Prec@5 71.875 (72.589)
Epoch: [106][230/5005] Time 0.228 (0.213) Data 0.047 (0.049) Loss 2.3823 (2.3041) Prec@1 48.047 (47.321) Prec@5 66.406 (72.562)
Epoch: [106][240/5005] Time 0.223 (0.213) Data 0.043 (0.049) Loss 2.2286 (2.3036) Prec@1 48.828 (47.292) Prec@5 69.922 (72.559)
Epoch: [106][250/5005] Time 0.213 (0.213) Data 0.042 (0.049) Loss 2.4130 (2.3021) Prec@1 45.703 (47.367) Prec@5 73.438 (72.600)
Epoch: [106][260/5005] Time 0.217 (0.213) Data 0.045 (0.049) Loss 2.0767 (2.3013) Prec@1 48.828 (47.394) Prec@5 75.781 (72.617)
Epoch: [106][270/5005] Time 0.215 (0.213) Data 0.044 (0.049) Loss 2.3757 (2.3015) Prec@1 44.531 (47.361) Prec@5 72.656 (72.616)
Epoch: [106][280/5005] Time 0.217 (0.214) Data 0.045 (0.048) Loss 2.6258 (2.3047) Prec@1 44.531 (47.310) Prec@5 64.062 (72.521)
Epoch: [106][290/5005] Time 0.214 (0.214) Data 0.042 (0.048) Loss 2.1551 (2.3062) Prec@1 51.562 (47.271) Prec@5 74.609 (72.487)
Epoch: [106][300/5005] Time 0.213 (0.214) Data 0.043 (0.048) Loss 2.1963 (2.3064) Prec@1 46.484 (47.288) Prec@5 75.000 (72.497)
Epoch: [106][310/5005] Time 0.216 (0.214) Data 0.044 (0.048) Loss 2.2295 (2.3046) Prec@1 48.828 (47.323) Prec@5 75.391 (72.543)
Epoch: [106][320/5005] Time 0.212 (0.214) Data 0.042 (0.048) Loss 2.4983 (2.3067) Prec@1 43.359 (47.279) Prec@5 71.484 (72.504)
Epoch: [106][330/5005] Time 0.214 (0.214) Data 0.043 (0.048) Loss 2.1527 (2.3057) Prec@1 46.094 (47.264) Prec@5 76.953 (72.525)
Epoch: [106][340/5005] Time 0.216 (0.214) Data 0.042 (0.048) Loss 2.4465 (2.3098) Prec@1 44.922 (47.204) Prec@5 69.922 (72.453)
Epoch: [106][350/5005] Time 0.211 (0.214) Data 0.043 (0.048) Loss 2.4521 (2.3090) Prec@1 48.828 (47.197) Prec@5 69.531 (72.479)
Epoch: [106][360/5005] Time 0.220 (0.214) Data 0.043 (0.047) Loss 2.3948 (2.3085) Prec@1 47.266 (47.220) Prec@5 67.969 (72.445)
Epoch: [106][370/5005] Time 0.214 (0.214) Data 0.042 (0.047) Loss 2.4218 (2.3076) Prec@1 42.969 (47.225) Prec@5 72.656 (72.481)
Epoch: [106][380/5005] Time 0.214 (0.214) Data 0.046 (0.047) Loss 2.5462 (2.3093) Prec@1 45.703 (47.182) Prec@5 69.531 (72.449)
Epoch: [106][390/5005] Time 0.213 (0.214) Data 0.044 (0.047) Loss 2.2590 (2.3107) Prec@1 48.438 (47.168) Prec@5 74.609 (72.430)
Epoch: [106][400/5005] Time 0.218 (0.214) Data 0.045 (0.047) Loss 2.1742 (2.3110) Prec@1 47.266 (47.165) Prec@5 75.391 (72.449)
Epoch: [106][410/5005] Time 0.216 (0.214) Data 0.043 (0.047) Loss 2.1491 (2.3103) Prec@1 49.219 (47.169) Prec@5 74.219 (72.466)
Epoch: [106][420/5005] Time 0.218 (0.214) Data 0.044 (0.047) Loss 2.3266 (2.3091) Prec@1 44.141 (47.180) Prec@5 71.484 (72.486)
Epoch: [106][430/5005] Time 0.216 (0.214) Data 0.042 (0.047) Loss 2.2197 (2.3093) Prec@1 52.344 (47.186) Prec@5 73.047 (72.484)
Epoch: [106][440/5005] Time 0.220 (0.214) Data 0.042 (0.047) Loss 2.1666 (2.3089) Prec@1 48.828 (47.162) Prec@5 73.047 (72.505)
Epoch: [106][450/5005] Time 0.212 (0.214) Data 0.043 (0.047) Loss 2.2471 (2.3100) Prec@1 44.922 (47.133) Prec@5 72.266 (72.492)
Epoch: [106][460/5005] Time 0.212 (0.214) Data 0.044 (0.047) Loss 2.3886 (2.3103) Prec@1 45.312 (47.118) Prec@5 71.875 (72.501)
Epoch: [106][470/5005] Time 0.218 (0.214) Data 0.043 (0.046) Loss 2.2342 (2.3113) Prec@1 47.656 (47.109) Prec@5 74.609 (72.486)
Epoch: [106][480/5005] Time 0.217 (0.214) Data 0.043 (0.046) Loss 2.3101 (2.3111) Prec@1 44.922 (47.102) Prec@5 69.922 (72.479)
Epoch: [106][490/5005] Time 0.216 (0.214) Data 0.044 (0.046) Loss 2.2952 (2.3107) Prec@1 51.562 (47.131) Prec@5 75.781 (72.477)
Epoch: [106][500/5005] Time 0.210 (0.214) Data 0.046 (0.046) Loss 2.4402 (2.3118) Prec@1 50.391 (47.136) Prec@5 70.312 (72.474)
Epoch: [106][510/5005] Time 0.211 (0.214) Data 0.046 (0.046) Loss 2.5348 (2.3121) Prec@1 42.188 (47.135) Prec@5 67.578 (72.446)
Epoch: [106][520/5005] Time 0.209 (0.214) Data 0.051 (0.046) Loss 2.3076 (2.3118) Prec@1 44.922 (47.125) Prec@5 71.484 (72.473)
Epoch: [106][530/5005] Time 0.218 (0.214) Data 0.045 (0.046) Loss 2.4079 (2.3126) Prec@1 44.922 (47.093) Prec@5 73.828 (72.471)
Epoch: [106][540/5005] Time 0.214 (0.214) Data 0.042 (0.046) Loss 2.3737 (2.3132) Prec@1 44.922 (47.087) Prec@5 70.703 (72.461)
Epoch: [106][550/5005] Time 0.204 (0.214) Data 0.040 (0.046) Loss 2.3453 (2.3125) Prec@1 44.922 (47.110) Prec@5 76.172 (72.475)
Epoch: [106][560/5005] Time 0.202 (0.214) Data 0.045 (0.046) Loss 2.4155 (2.3126) Prec@1 45.703 (47.112) Prec@5 74.219 (72.488)
Epoch: [106][570/5005] Time 0.207 (0.214) Data 0.053 (0.046) Loss 2.3383 (2.3132) Prec@1 49.219 (47.089) Prec@5 72.266 (72.479)
Epoch: [106][580/5005] Time 0.220 (0.214) Data 0.047 (0.046) Loss 2.3038 (2.3121) Prec@1 44.922 (47.103) Prec@5 73.438 (72.491)
Epoch: [106][590/5005] Time 0.217 (0.214) Data 0.056 (0.046) Loss 2.4590 (2.3121) Prec@1 43.359 (47.103) Prec@5 73.047 (72.496)
Epoch: [106][600/5005] Time 0.211 (0.214) Data 0.045 (0.046) Loss 2.3037 (2.3134) Prec@1 52.344 (47.086) Prec@5 71.875 (72.484)
Epoch: [106][610/5005] Time 0.216 (0.214) Data 0.044 (0.046) Loss 2.3041 (2.3136) Prec@1 46.484 (47.098) Prec@5 71.094 (72.498)
Epoch: [106][620/5005] Time 0.202 (0.214) Data 0.056 (0.046) Loss 2.4136 (2.3142) Prec@1 47.266 (47.122) Prec@5 70.312 (72.495)
Epoch: [106][630/5005] Time 0.203 (0.214) Data 0.043 (0.046) Loss 2.5836 (2.3143) Prec@1 50.781 (47.155) Prec@5 70.703 (72.501)
Epoch: [106][640/5005] Time 0.218 (0.214) Data 0.044 (0.046) Loss 2.2497 (2.3140) Prec@1 46.484 (47.145) Prec@5 73.438 (72.505)
Epoch: [106][650/5005] Time 0.218 (0.214) Data 0.046 (0.046) Loss 2.3792 (2.3151) Prec@1 42.188 (47.126) Prec@5 69.531 (72.479)
Epoch: [106][660/5005] Time 0.211 (0.214) Data 0.052 (0.046) Loss 2.5165 (2.3147) Prec@1 43.750 (47.150) Prec@5 70.312 (72.490)
Epoch: [106][670/5005] Time 0.208 (0.214) Data 0.051 (0.046) Loss 2.5867 (2.3149) Prec@1 42.969 (47.144) Prec@5 69.531 (72.472)
Epoch: [106][680/5005] Time 0.213 (0.214) Data 0.044 (0.046) Loss 2.2826 (2.3146) Prec@1 48.828 (47.160) Prec@5 74.609 (72.480)
Epoch: [106][690/5005] Time 0.213 (0.214) Data 0.045 (0.046) Loss 2.2476 (2.3140) Prec@1 48.828 (47.164) Prec@5 75.391 (72.498)
Epoch: [106][700/5005] Time 0.211 (0.214) Data 0.043 (0.046) Loss 2.2744 (2.3142) Prec@1 47.656 (47.153) Prec@5 74.609 (72.510)
Epoch: [106][710/5005] Time 0.212 (0.214) Data 0.042 (0.046) Loss 2.1257 (2.3143) Prec@1 48.438 (47.157) Prec@5 73.047 (72.512)
Epoch: [106][720/5005] Time 0.218 (0.214) Data 0.045 (0.046) Loss 2.1919 (2.3137) Prec@1 45.312 (47.172) Prec@5 74.609 (72.520)
Epoch: [106][730/5005] Time 0.205 (0.214) Data 0.057 (0.046) Loss 2.4513 (2.3136) Prec@1 44.141 (47.196) Prec@5 69.531 (72.516)
Epoch: [106][740/5005] Time 0.210 (0.214) Data 0.042 (0.046) Loss 2.4447 (2.3137) Prec@1 42.578 (47.198) Prec@5 70.703 (72.519)
Epoch: [106][750/5005] Time 0.209 (0.213) Data 0.058 (0.046) Loss 2.1259 (2.3133) Prec@1 48.438 (47.195) Prec@5 76.172 (72.532)
Epoch: [106][760/5005] Time 0.216 (0.213) Data 0.043 (0.046) Loss 2.4565 (2.3134) Prec@1 41.797 (47.191) Prec@5 70.703 (72.538)
Epoch: [106][770/5005] Time 0.207 (0.213) Data 0.046 (0.046) Loss 2.3437 (2.3119) Prec@1 45.312 (47.235) Prec@5 71.094 (72.554)
Epoch: [106][780/5005] Time 0.212 (0.213) Data 0.052 (0.046) Loss 2.3498 (2.3118) Prec@1 46.094 (47.239) Prec@5 70.703 (72.556)
Epoch: [106][790/5005] Time 0.215 (0.213) Data 0.043 (0.046) Loss 2.3569 (2.3113) Prec@1 49.609 (47.259) Prec@5 71.484 (72.564)
Epoch: [106][800/5005] Time 0.210 (0.213) Data 0.041 (0.047) Loss 2.1265 (2.3106) Prec@1 50.391 (47.299) Prec@5 75.391 (72.573)
Epoch: [106][810/5005] Time 0.216 (0.213) Data 0.043 (0.047) Loss 2.4360 (2.3105) Prec@1 43.359 (47.302) Prec@5 73.438 (72.585)
Epoch: [106][820/5005] Time 0.215 (0.213) Data 0.047 (0.047) Loss 2.4734 (2.3114) Prec@1 44.141 (47.295) Prec@5 68.750 (72.569)
Epoch: [106][830/5005] Time 0.206 (0.213) Data 0.043 (0.047) Loss 2.1796 (2.3112) Prec@1 48.047 (47.300) Prec@5 75.000 (72.576)
Epoch: [106][840/5005] Time 0.210 (0.213) Data 0.042 (0.047) Loss 2.2316 (2.3113) Prec@1 48.828 (47.305) Prec@5 75.000 (72.579)
Epoch: [106][850/5005] Time 0.210 (0.213) Data 0.043 (0.047) Loss 2.5667 (2.3108) Prec@1 42.969 (47.319) Prec@5 68.359 (72.592)
Epoch: [106][860/5005] Time 0.209 (0.213) Data 0.048 (0.047) Loss 2.3450 (2.3110) Prec@1 47.656 (47.314) Prec@5 69.531 (72.578)
Epoch: [106][870/5005] Time 0.212 (0.213) Data 0.044 (0.047) Loss 2.3450 (2.3101) Prec@1 44.922 (47.328) Prec@5 72.656 (72.586)
Epoch: [106][880/5005] Time 0.210 (0.213) Data 0.046 (0.047) Loss 2.1146 (2.3100) Prec@1 48.047 (47.331) Prec@5 76.562 (72.589)
Epoch: [106][890/5005] Time 0.206 (0.213) Data 0.047 (0.047) Loss 2.5375 (2.3092) Prec@1 42.969 (47.337) Prec@5 66.406 (72.603)
Epoch: [106][900/5005] Time 0.215 (0.213) Data 0.043 (0.047) Loss 2.2823 (2.3088) Prec@1 47.266 (47.344) Prec@5 73.438 (72.617)
Epoch: [106][910/5005] Time 0.208 (0.213) Data 0.046 (0.047) Loss 2.2636 (2.3085) Prec@1 47.266 (47.343) Prec@5 75.391 (72.617)
Epoch: [106][920/5005] Time 0.223 (0.213) Data 0.047 (0.047) Loss 2.2187 (2.3076) Prec@1 44.922 (47.353) Prec@5 75.000 (72.631)
Epoch: [106][930/5005] Time 0.207 (0.213) Data 0.047 (0.047) Loss 2.3324 (2.3070) Prec@1 48.828 (47.363) Prec@5 70.703 (72.647)
Epoch: [106][940/5005] Time 0.210 (0.213) Data 0.047 (0.047) Loss 2.1344 (2.3070) Prec@1 47.266 (47.367) Prec@5 73.828 (72.647)
Epoch: [106][950/5005] Time 0.211 (0.213) Data 0.046 (0.047) Loss 2.3929 (2.3074) Prec@1 45.703 (47.363) Prec@5 69.922 (72.646)
Epoch: [106][960/5005] Time 0.213 (0.213) Data 0.053 (0.047) Loss 2.5509 (2.3079) Prec@1 45.312 (47.355) Prec@5 68.750 (72.638)
Epoch: [106][970/5005] Time 0.213 (0.213) Data 0.049 (0.047) Loss 2.2940 (2.3077) Prec@1 47.266 (47.353) Prec@5 73.438 (72.646)
Epoch: [106][980/5005] Time 0.208 (0.213) Data 0.046 (0.047) Loss 2.1857 (2.3074) Prec@1 48.828 (47.344) Prec@5 73.828 (72.663)
Epoch: [106][990/5005] Time 0.216 (0.213) Data 0.045 (0.047) Loss 2.3005 (2.3076) Prec@1 47.266 (47.336) Prec@5 73.047 (72.655)
Epoch: [106][1000/5005] Time 0.212 (0.213) Data 0.043 (0.047) Loss 2.2343 (2.3073) Prec@1 51.562 (47.341) Prec@5 78.516 (72.665)
Epoch: [106][1010/5005] Time 0.205 (0.213) Data 0.041 (0.047) Loss 2.3118 (2.3069) Prec@1 50.000 (47.352) Prec@5 73.047 (72.671)
Epoch: [106][1020/5005] Time 0.199 (0.214) Data 0.048 (0.047) Loss 2.2838 (2.3075) Prec@1 48.828 (47.336) Prec@5 73.438 (72.655)
Epoch: [106][1030/5005] Time 0.202 (0.214) Data 0.042 (0.047) Loss 2.3353 (2.3071) Prec@1 44.922 (47.336) Prec@5 71.875 (72.664)
Epoch: [106][1040/5005] Time 0.207 (0.214) Data 0.058 (0.047) Loss 2.3349 (2.3072) Prec@1 46.094 (47.333) Prec@5 72.266 (72.666)
Epoch: [106][1050/5005] Time 0.206 (0.214) Data 0.043 (0.047) Loss 2.3974 (2.3073) Prec@1 47.266 (47.324) Prec@5 71.875 (72.667)
Epoch: [106][1060/5005] Time 0.209 (0.214) Data 0.042 (0.047) Loss 2.4555 (2.3078) Prec@1 46.875 (47.323) Prec@5 68.750 (72.662)
Epoch: [106][1070/5005] Time 0.212 (0.214) Data 0.042 (0.047) Loss 2.3353 (2.3080) Prec@1 46.875 (47.315) Prec@5 73.828 (72.658)
Epoch: [106][1080/5005] Time 0.202 (0.213) Data 0.056 (0.047) Loss 2.4435 (2.3080) Prec@1 44.141 (47.315) Prec@5 69.141 (72.650)
Epoch: [106][1090/5005] Time 0.216 (0.213) Data 0.043 (0.047) Loss 2.1350 (2.3077) Prec@1 49.609 (47.330) Prec@5 76.172 (72.658)
Epoch: [106][1100/5005] Time 0.210 (0.213) Data 0.046 (0.047) Loss 2.3261 (2.3074) Prec@1 49.609 (47.342) Prec@5 72.656 (72.659)
Epoch: [106][1110/5005] Time 0.211 (0.213) Data 0.047 (0.047) Loss 2.2562 (2.3076) Prec@1 45.703 (47.342) Prec@5 72.266 (72.652)
Epoch: [106][1120/5005] Time 0.213 (0.213) Data 0.048 (0.047) Loss 2.2291 (2.3068) Prec@1 48.828 (47.352) Prec@5 71.875 (72.664)
Epoch: [106][1130/5005] Time 0.208 (0.213) Data 0.046 (0.047) Loss 2.4093 (2.3071) Prec@1 47.656 (47.354) Prec@5 72.656 (72.658)
Epoch: [106][1140/5005] Time 0.208 (0.213) Data 0.041 (0.047) Loss 2.3403 (2.3066) Prec@1 45.703 (47.353) Prec@5 72.266 (72.669)
Epoch: [106][1150/5005] Time 0.211 (0.213) Data 0.048 (0.047) Loss 2.3995 (2.3065) Prec@1 40.625 (47.349) Prec@5 72.656 (72.681)
Epoch: [106][1160/5005] Time 0.213 (0.213) Data 0.046 (0.047) Loss 2.2956 (2.3063) Prec@1 46.094 (47.354) Prec@5 71.875 (72.684)
Epoch: [106][1170/5005] Time 0.213 (0.213) Data 0.043 (0.047) Loss 2.3030 (2.3060) Prec@1 48.828 (47.357) Prec@5 72.656 (72.691)
Epoch: [106][1180/5005] Time 0.208 (0.213) Data 0.059 (0.047) Loss 2.2802 (2.3059) Prec@1 46.484 (47.350) Prec@5 72.656 (72.688)
Epoch: [106][1190/5005] Time 0.207 (0.213) Data 0.059 (0.047) Loss 2.2477 (2.3055) Prec@1 47.266 (47.356) Prec@5 74.219 (72.694)
Epoch: [106][1200/5005] Time 0.209 (0.213) Data 0.044 (0.047) Loss 2.4878 (2.3057) Prec@1 41.016 (47.345) Prec@5 72.266 (72.694)
Epoch: [106][1210/5005] Time 0.210 (0.213) Data 0.042 (0.047) Loss 2.3146 (2.3059) Prec@1 46.484 (47.343) Prec@5 74.609 (72.703)
Epoch: [106][1220/5005] Time 0.207 (0.213) Data 0.051 (0.047) Loss 2.3049 (2.3062) Prec@1 45.703 (47.333) Prec@5 72.656 (72.693)
Epoch: [106][1230/5005] Time 0.222 (0.213) Data 0.047 (0.047) Loss 2.3759 (2.3063) Prec@1 44.141 (47.322) Prec@5 71.875 (72.688)
Epoch: [106][1240/5005] Time 0.213 (0.213) Data 0.046 (0.047) Loss 2.4429 (2.3066) Prec@1 43.750 (47.325) Prec@5 69.531 (72.681)
Epoch: [106][1250/5005] Time 0.209 (0.213) Data 0.043 (0.047) Loss 2.5267 (2.3070) Prec@1 43.750 (47.316) Prec@5 69.531 (72.663)
Epoch: [106][1260/5005] Time 0.212 (0.213) Data 0.045 (0.047) Loss 2.1279 (2.3064) Prec@1 49.219 (47.318) Prec@5 75.000 (72.675)
Epoch: [106][1270/5005] Time 0.211 (0.213) Data 0.044 (0.047) Loss 2.3634 (2.3067) Prec@1 50.000 (47.323) Prec@5 70.703 (72.669)
Epoch: [106][1280/5005] Time 0.213 (0.213) Data 0.046 (0.047) Loss 2.2889 (2.3070) Prec@1 50.000 (47.321) Prec@5 71.484 (72.659)
Epoch: [106][1290/5005] Time 0.214 (0.213) Data 0.043 (0.047) Loss 2.1648 (2.3067) Prec@1 52.734 (47.329) Prec@5 72.656 (72.657)
Epoch: [106][1300/5005] Time 0.213 (0.213) Data 0.046 (0.047) Loss 2.2093 (2.3064) Prec@1 50.000 (47.333) Prec@5 71.875 (72.661)
Epoch: [106][1310/5005] Time 0.212 (0.213) Data 0.042 (0.047) Loss 2.2852 (2.3061) Prec@1 47.266 (47.342) Prec@5 75.391 (72.670)
Epoch: [106][1320/5005] Time 0.212 (0.213) Data 0.044 (0.047) Loss 2.4274 (2.3059) Prec@1 46.875 (47.352) Prec@5 73.438 (72.675)
Epoch: [106][1330/5005] Time 0.211 (0.213) Data 0.043 (0.047) Loss 2.3963 (2.3061) Prec@1 47.656 (47.350) Prec@5 69.922 (72.669)
Epoch: [106][1340/5005] Time 0.199 (0.213) Data 0.051 (0.047) Loss 2.2318 (2.3060) Prec@1 45.703 (47.354) Prec@5 75.000 (72.666)
Epoch: [106][1350/5005] Time 0.211 (0.213) Data 0.043 (0.047) Loss 2.8082 (2.3064) Prec@1 40.234 (47.344) Prec@5 66.797 (72.661)
Epoch: [106][1360/5005] Time 0.220 (0.213) Data 0.046 (0.047) Loss 2.1358 (2.3062) Prec@1 50.781 (47.345) Prec@5 76.953 (72.666)
Epoch: [106][1370/5005] Time 0.212 (0.213) Data 0.044 (0.047) Loss 2.3859 (2.3058) Prec@1 44.531 (47.343) Prec@5 73.047 (72.665)
Epoch: [106][1380/5005] Time 0.206 (0.213) Data 0.049 (0.047) Loss 2.2089 (2.3058) Prec@1 48.438 (47.346) Prec@5 75.391 (72.668)
Epoch: [106][1390/5005] Time 0.209 (0.213) Data 0.047 (0.047) Loss 2.0715 (2.3056) Prec@1 51.172 (47.352) Prec@5 80.469 (72.669)
Epoch: [106][1400/5005] Time 0.214 (0.213) Data 0.044 (0.047) Loss 2.2679 (2.3049) Prec@1 46.094 (47.362) Prec@5 71.875 (72.680)
Epoch: [106][1410/5005] Time 0.195 (0.213) Data 0.043 (0.047) Loss 2.2772 (2.3050) Prec@1 46.484 (47.360) Prec@5 72.656 (72.683)
Epoch: [106][1420/5005] Time 0.212 (0.212) Data 0.043 (0.047) Loss 2.4981 (2.3051) Prec@1 42.578 (47.352) Prec@5 69.531 (72.682)
Epoch: [106][1430/5005] Time 0.202 (0.212) Data 0.049 (0.047) Loss 2.0607 (2.3049) Prec@1 51.953 (47.361) Prec@5 77.344 (72.681)
Epoch: [106][1440/5005] Time 0.207 (0.212) Data 0.045 (0.047) Loss 2.0699 (2.3048) Prec@1 49.219 (47.361) Prec@5 77.734 (72.687)
Epoch: [106][1450/5005] Time 0.214 (0.212) Data 0.044 (0.047) Loss 2.2704 (2.3047) Prec@1 51.953 (47.364) Prec@5 71.875 (72.684)
Epoch: [106][1460/5005] Time 0.197 (0.212) Data 0.056 (0.047) Loss 2.4250 (2.3047) Prec@1 45.312 (47.362) Prec@5 71.094 (72.685)
Epoch: [106][1470/5005] Time 0.201 (0.212) Data 0.055 (0.047) Loss 2.4217 (2.3050) Prec@1 43.750 (47.358) Prec@5 70.703 (72.680)
Epoch: [106][1480/5005] Time 0.207 (0.212) Data 0.047 (0.047) Loss 2.1328 (2.3052) Prec@1 53.125 (47.362) Prec@5 75.000 (72.677)
Epoch: [106][1490/5005] Time 0.215 (0.212) Data 0.046 (0.047) Loss 2.6114 (2.3051) Prec@1 42.188 (47.359) Prec@5 67.578 (72.676)
Epoch: [106][1500/5005] Time 0.205 (0.212) Data 0.047 (0.047) Loss 2.3545 (2.3049) Prec@1 48.047 (47.360) Prec@5 72.656 (72.683)
Epoch: [106][1510/5005] Time 0.213 (0.212) Data 0.047 (0.047) Loss 2.2550 (2.3049) Prec@1 47.266 (47.361) Prec@5 73.047 (72.685)
Epoch: [106][1520/5005] Time 0.212 (0.212) Data 0.046 (0.047) Loss 2.3309 (2.3047) Prec@1 45.703 (47.362) Prec@5 75.000 (72.689)
Epoch: [106][1530/5005] Time 0.195 (0.212) Data 0.050 (0.047) Loss 2.3657 (2.3049) Prec@1 46.484 (47.365) Prec@5 71.094 (72.682)
Epoch: [106][1540/5005] Time 0.219 (0.212) Data 0.044 (0.047) Loss 2.3715 (2.3051) Prec@1 44.141 (47.360) Prec@5 71.484 (72.676)
Epoch: [106][1550/5005] Time 0.198 (0.212) Data 0.043 (0.047) Loss 2.1859 (2.3048) Prec@1 49.609 (47.363) Prec@5 74.609 (72.681)
Epoch: [106][1560/5005] Time 0.208 (0.212) Data 0.061 (0.047) Loss 2.2127 (2.3048) Prec@1 46.875 (47.366) Prec@5 74.219 (72.683)
Epoch: [106][1570/5005] Time 0.206 (0.212) Data 0.044 (0.047) Loss 2.1528 (2.3044) Prec@1 47.266 (47.374) Prec@5 76.562 (72.690)
Epoch: [106][1580/5005] Time 0.198 (0.212) Data 0.042 (0.047) Loss 2.0247 (2.3045) Prec@1 50.781 (47.365) Prec@5 78.906 (72.684)
Epoch: [106][1590/5005] Time 0.203 (0.212) Data 0.047 (0.047) Loss 2.2831 (2.3046) Prec@1 46.094 (47.359) Prec@5 72.266 (72.684)
Epoch: [106][1600/5005] Time 0.209 (0.212) Data 0.049 (0.047) Loss 2.3162 (2.3046) Prec@1 47.656 (47.362) Prec@5 73.828 (72.684)
Epoch: [106][1610/5005] Time 0.208 (0.212) Data 0.047 (0.047) Loss 2.3381 (2.3046) Prec@1 48.438 (47.364) Prec@5 75.391 (72.688)
Epoch: [106][1620/5005] Time 0.203 (0.212) Data 0.050 (0.047) Loss 2.4451 (2.3044) Prec@1 44.531 (47.360) Prec@5 69.922 (72.692)
Epoch: [106][1630/5005] Time 0.201 (0.212) Data 0.049 (0.047) Loss 2.0989 (2.3043) Prec@1 50.781 (47.361) Prec@5 75.000 (72.690)
Epoch: [106][1640/5005] Time 0.206 (0.212) Data 0.043 (0.047) Loss 2.4746 (2.3046) Prec@1 45.312 (47.363) Prec@5 70.312 (72.684)
Epoch: [106][1650/5005] Time 0.208 (0.212) Data 0.057 (0.047) Loss 2.4265 (2.3048) Prec@1 41.797 (47.363) Prec@5 69.922 (72.685)
Epoch: [106][1660/5005] Time 0.206 (0.212) Data 0.058 (0.047) Loss 2.2316 (2.3043) Prec@1 50.391 (47.377) Prec@5 72.266 (72.688)
Epoch: [106][1670/5005] Time 0.203 (0.212) Data 0.041 (0.047) Loss 2.0578 (2.3044) Prec@1 53.125 (47.379) Prec@5 75.000 (72.689)
Epoch: [106][1680/5005] Time 0.212 (0.212) Data 0.042 (0.047) Loss 2.5322 (2.3047) Prec@1 46.094 (47.371) Prec@5 69.531 (72.684)
Epoch: [106][1690/5005] Time 0.209 (0.212) Data 0.046 (0.047) Loss 1.9523 (2.3043) Prec@1 56.641 (47.378) Prec@5 77.344 (72.694)
Epoch: [106][1700/5005] Time 0.209 (0.212) Data 0.052 (0.047) Loss 2.1865 (2.3041) Prec@1 53.906 (47.381) Prec@5 74.609 (72.697)
Epoch: [106][1710/5005] Time 0.215 (0.212) Data 0.041 (0.047) Loss 2.1108 (2.3036) Prec@1 51.562 (47.384) Prec@5 74.219 (72.706)
Epoch: [106][1720/5005] Time 0.216 (0.212) Data 0.046 (0.047) Loss 2.4467 (2.3036) Prec@1 44.922 (47.376) Prec@5 71.875 (72.710)
Epoch: [106][1730/5005] Time 0.209 (0.212) Data 0.048 (0.047) Loss 2.3652 (2.3036) Prec@1 44.922 (47.374) Prec@5 71.094 (72.717)
Epoch: [106][1740/5005] Time 0.199 (0.212) Data 0.062 (0.047) Loss 2.5871 (2.3036) Prec@1 39.844 (47.378) Prec@5 68.750 (72.716)
Epoch: [106][1750/5005] Time 0.202 (0.212) Data 0.046 (0.047) Loss 2.2499 (2.3035) Prec@1 47.266 (47.373) Prec@5 73.828 (72.719)
Epoch: [106][1760/5005] Time 0.214 (0.212) Data 0.041 (0.047) Loss 2.0497 (2.3033) Prec@1 52.344 (47.383) Prec@5 78.125 (72.728)
Epoch: [106][1770/5005] Time 0.199 (0.212) Data 0.043 (0.047) Loss 2.4150 (2.3031) Prec@1 42.188 (47.378) Prec@5 72.266 (72.737)
Epoch: [106][1780/5005] Time 0.213 (0.212) Data 0.043 (0.047) Loss 2.2032 (2.3029) Prec@1 47.266 (47.381) Prec@5 74.609 (72.741)
Epoch: [106][1790/5005] Time 0.210 (0.212) Data 0.042 (0.047) Loss 2.2432 (2.3027) Prec@1 49.609 (47.386) Prec@5 70.703 (72.738)
Epoch: [106][1800/5005] Time 0.207 (0.212) Data 0.043 (0.047) Loss 2.2871 (2.3025) Prec@1 50.000 (47.390) Prec@5 72.656 (72.743)
Epoch: [106][1810/5005] Time 0.212 (0.212) Data 0.044 (0.047) Loss 2.2246 (2.3022) Prec@1 50.781 (47.400) Prec@5 71.484 (72.746)
Epoch: [106][1820/5005] Time 0.208 (0.212) Data 0.044 (0.047) Loss 2.3729 (2.3024) Prec@1 41.016 (47.397) Prec@5 69.922 (72.744)
Epoch: [106][1830/5005] Time 0.215 (0.212) Data 0.044 (0.047) Loss 2.1235 (2.3019) Prec@1 54.688 (47.406) Prec@5 76.953 (72.755)
Epoch: [106][1840/5005] Time 0.208 (0.212) Data 0.042 (0.047) Loss 2.3647 (2.3016) Prec@1 46.484 (47.412) Prec@5 67.969 (72.756)
Epoch: [106][1850/5005] Time 0.211 (0.212) Data 0.043 (0.047) Loss 2.2306 (2.3014) Prec@1 51.562 (47.421) Prec@5 75.781 (72.758)
Epoch: [106][1860/5005] Time 0.209 (0.212) Data 0.043 (0.047) Loss 2.2315 (2.3014) Prec@1 49.219 (47.419) Prec@5 73.047 (72.763)
Epoch: [106][1870/5005] Time 0.202 (0.212) Data 0.048 (0.047) Loss 2.4396 (2.3017) Prec@1 43.359 (47.408) Prec@5 71.094 (72.755)
Epoch: [106][1880/5005] Time 0.197 (0.212) Data 0.048 (0.047) Loss 2.3292 (2.3019) Prec@1 46.094 (47.405) Prec@5 72.266 (72.755)
Epoch: [106][1890/5005] Time 0.213 (0.211) Data 0.045 (0.047) Loss 2.2958 (2.3017) Prec@1 47.656 (47.410) Prec@5 73.047 (72.760)
Epoch: [106][1900/5005] Time 0.215 (0.211) Data 0.044 (0.047) Loss 2.4280 (2.3022) Prec@1 45.312 (47.397) Prec@5 72.656 (72.755)
Epoch: [106][1910/5005] Time 0.201 (0.211) Data 0.041 (0.047) Loss 2.1629 (2.3021) Prec@1 48.047 (47.400) Prec@5 76.562 (72.756)
Epoch: [106][1920/5005] Time 0.219 (0.211) Data 0.041 (0.047) Loss 2.2336 (2.3019) Prec@1 48.828 (47.398) Prec@5 71.875 (72.757)
Epoch: [106][1930/5005] Time 0.206 (0.211) Data 0.052 (0.047) Loss 2.2315 (2.3018) Prec@1 48.828 (47.400) Prec@5 74.219 (72.763)
Epoch: [106][1940/5005] Time 0.214 (0.211) Data 0.047 (0.047) Loss 2.1767 (2.3015) Prec@1 48.438 (47.401) Prec@5 75.391 (72.769)
Epoch: [106][1950/5005] Time 0.209 (0.211) Data 0.061 (0.047) Loss 2.2107 (2.3012) Prec@1 51.172 (47.404) Prec@5 74.219 (72.777)
Epoch: [106][1960/5005] Time 0.197 (0.212) Data 0.060 (0.047) Loss 2.1729 (2.3009) Prec@1 47.266 (47.407) Prec@5 73.828 (72.783)
Epoch: [106][1970/5005] Time 0.206 (0.212) Data 0.054 (0.047) Loss 2.3420 (2.3012) Prec@1 44.141 (47.395) Prec@5 72.266 (72.778)
Epoch: [106][1980/5005] Time 0.207 (0.212) Data 0.046 (0.047) Loss 2.1613 (2.3013) Prec@1 47.266 (47.396) Prec@5 75.000 (72.777)
Epoch: [106][1990/5005] Time 0.200 (0.212) Data 0.047 (0.047) Loss 2.0332 (2.3009) Prec@1 50.391 (47.401) Prec@5 77.734 (72.779)
Epoch: [106][2000/5005] Time 0.210 (0.212) Data 0.042 (0.047) Loss 2.2167 (2.3012) Prec@1 49.609 (47.398) Prec@5 75.000 (72.777)
Epoch: [106][2010/5005] Time 0.208 (0.212) Data 0.043 (0.047) Loss 2.2772 (2.3013) Prec@1 46.094 (47.390) Prec@5 72.266 (72.771)
Epoch: [106][2020/5005] Time 0.203 (0.212) Data 0.043 (0.047) Loss 2.3620 (2.3013) Prec@1 48.828 (47.388) Prec@5 72.266 (72.769)
Epoch: [106][2030/5005] Time 0.214 (0.212) Data 0.048 (0.047) Loss 2.3355 (2.3016) Prec@1 48.828 (47.387) Prec@5 73.438 (72.763)
Epoch: [106][2040/5005] Time 0.199 (0.212) Data 0.060 (0.047) Loss 2.1685 (2.3014) Prec@1 47.656 (47.391) Prec@5 74.219 (72.767)
Epoch: [106][2050/5005] Time 0.210 (0.212) Data 0.043 (0.047) Loss 2.3969 (2.3013) Prec@1 47.656 (47.394) Prec@5 71.875 (72.773)
Epoch: [106][2060/5005] Time 0.205 (0.212) Data 0.044 (0.047) Loss 2.2764 (2.3013) Prec@1 45.703 (47.397) Prec@5 74.219 (72.778)
Epoch: [106][2070/5005] Time 0.208 (0.212) Data 0.047 (0.047) Loss 2.5782 (2.3015) Prec@1 42.969 (47.392) Prec@5 68.750 (72.770)
Epoch: [106][2080/5005] Time 0.215 (0.212) Data 0.046 (0.047) Loss 2.3272 (2.3014) Prec@1 45.312 (47.391) Prec@5 73.047 (72.773)
Epoch: [106][2090/5005] Time 0.208 (0.212) Data 0.043 (0.047) Loss 2.1496 (2.3009) Prec@1 50.391 (47.397) Prec@5 77.734 (72.780)
Epoch: [106][2100/5005] Time 0.211 (0.212) Data 0.043 (0.047) Loss 2.3525 (2.3007) Prec@1 46.484 (47.395) Prec@5 70.703 (72.781)
Epoch: [106][2110/5005] Time 0.207 (0.212) Data 0.043 (0.047) Loss 2.0832 (2.3007) Prec@1 50.000 (47.401) Prec@5 75.391 (72.781)
Epoch: [106][2120/5005] Time 0.213 (0.212) Data 0.044 (0.047) Loss 2.4027 (2.3006) Prec@1 45.312 (47.406) Prec@5 70.703 (72.790)
Epoch: [106][2130/5005] Time 0.212 (0.212) Data 0.043 (0.047) Loss 2.3092 (2.3001) Prec@1 49.219 (47.413) Prec@5 72.656 (72.800)
Epoch: [106][2140/5005] Time 0.215 (0.212) Data 0.045 (0.047) Loss 2.2543 (2.3002) Prec@1 47.266 (47.414) Prec@5 75.781 (72.800)
Epoch: [106][2150/5005] Time 0.211 (0.212) Data 0.044 (0.047) Loss 2.2076 (2.3000) Prec@1 50.391 (47.418) Prec@5 73.047 (72.801)
Epoch: [106][2160/5005] Time 0.211 (0.212) Data 0.043 (0.047) Loss 2.2217 (2.3001) Prec@1 46.875 (47.413) Prec@5 74.609 (72.802)
Epoch: [106][2170/5005] Time 0.212 (0.212) Data 0.046 (0.047) Loss 2.1590 (2.2996) Prec@1 51.562 (47.421) Prec@5 77.344 (72.812)
Epoch: [106][2180/5005] Time 0.209 (0.212) Data 0.043 (0.047) Loss 2.4188 (2.2996) Prec@1 46.484 (47.422) Prec@5 67.578 (72.810)
Epoch: [106][2190/5005] Time 0.210 (0.212) Data 0.044 (0.047) Loss 2.5401 (2.2997) Prec@1 43.359 (47.421) Prec@5 67.969 (72.809)
Epoch: [106][2200/5005] Time 0.214 (0.212) Data 0.041 (0.047) Loss 2.2212 (2.3000) Prec@1 50.000 (47.421) Prec@5 75.000 (72.802)
Epoch: [106][2210/5005] Time 0.197 (0.212) Data 0.046 (0.047) Loss 2.3444 (2.3002) Prec@1 46.484 (47.420) Prec@5 72.266 (72.796)
Epoch: [106][2220/5005] Time 0.200 (0.212) Data 0.045 (0.047) Loss 2.3890 (2.2998) Prec@1 49.219 (47.430) Prec@5 71.094 (72.807)
Epoch: [106][2230/5005] Time 0.202 (0.212) Data 0.040 (0.047) Loss 2.3147 (2.2999) Prec@1 49.219 (47.431) Prec@5 73.047 (72.811)
Epoch: [106][2240/5005] Time 0.210 (0.212) Data 0.042 (0.047) Loss 2.4173 (2.3000) Prec@1 45.312 (47.425) Prec@5 73.438 (72.813)
Epoch: [106][2250/5005] Time 0.207 (0.212) Data 0.045 (0.047) Loss 2.1207 (2.3001) Prec@1 50.000 (47.426) Prec@5 75.000 (72.809)
Epoch: [106][2260/5005] Time 0.207 (0.212) Data 0.042 (0.047) Loss 2.1416 (2.2998) Prec@1 48.438 (47.432) Prec@5 76.562 (72.815)
Epoch: [106][2270/5005] Time 0.212 (0.212) Data 0.043 (0.047) Loss 2.5310 (2.2996) Prec@1 42.188 (47.439) Prec@5 66.016 (72.817)
Epoch: [106][2280/5005] Time 0.212 (0.212) Data 0.046 (0.047) Loss 2.3104 (2.2995) Prec@1 45.703 (47.436) Prec@5 73.047 (72.819)
Epoch: [106][2290/5005] Time 0.213 (0.212) Data 0.042 (0.047) Loss 2.2566 (2.2996) Prec@1 50.391 (47.432) Prec@5 71.094 (72.819)
Epoch: [106][2300/5005] Time 0.206 (0.211) Data 0.052 (0.047) Loss 2.2222 (2.2996) Prec@1 50.000 (47.432) Prec@5 72.656 (72.821)
Epoch: [106][2310/5005] Time 0.211 (0.211) Data 0.043 (0.047) Loss 2.1414 (2.2995) Prec@1 48.828 (47.434) Prec@5 73.828 (72.821)
Epoch: [106][2320/5005] Time 0.206 (0.211) Data 0.056 (0.047) Loss 2.5293 (2.2995) Prec@1 44.531 (47.433) Prec@5 67.969 (72.821)
Epoch: [106][2330/5005] Time 0.206 (0.211) Data 0.051 (0.047) Loss 2.2431 (2.2994) Prec@1 47.266 (47.432) Prec@5 72.656 (72.823)
Epoch: [106][2340/5005] Time 0.209 (0.211) Data 0.053 (0.047) Loss 2.3366 (2.2992) Prec@1 44.922 (47.435) Prec@5 71.875 (72.826)
Epoch: [106][2350/5005] Time 0.212 (0.211) Data 0.042 (0.047) Loss 2.2614 (2.2992) Prec@1 46.875 (47.434) Prec@5 75.000 (72.823)
Epoch: [106][2360/5005] Time 0.211 (0.211) Data 0.046 (0.047) Loss 2.3750 (2.2992) Prec@1 48.047 (47.435) Prec@5 69.531 (72.823)
Epoch: [106][2370/5005] Time 0.200 (0.211) Data 0.042 (0.047) Loss 2.4630 (2.2995) Prec@1 44.531 (47.429) Prec@5 69.141 (72.818)
Epoch: [106][2380/5005] Time 0.209 (0.211) Data 0.050 (0.047) Loss 2.3990 (2.2994) Prec@1 46.875 (47.432) Prec@5 71.094 (72.820)
Epoch: [106][2390/5005] Time 0.201 (0.211) Data 0.041 (0.047) Loss 2.2792 (2.2993) Prec@1 49.609 (47.433) Prec@5 71.875 (72.821)
Epoch: [106][2400/5005] Time 0.191 (0.211) Data 0.061 (0.047) Loss 2.3317 (2.2992) Prec@1 43.750 (47.430) Prec@5 69.922 (72.820)
Epoch: [106][2410/5005] Time 0.214 (0.211) Data 0.049 (0.047) Loss 2.5917 (2.2993) Prec@1 42.188 (47.425) Prec@5 67.578 (72.817)
Epoch: [106][2420/5005] Time 0.208 (0.211) Data 0.048 (0.047) Loss 2.3451 (2.2991) Prec@1 47.266 (47.431) Prec@5 74.219 (72.823)
Epoch: [106][2430/5005] Time 0.212 (0.211) Data 0.060 (0.047) Loss 2.2388 (2.2993) Prec@1 47.266 (47.428) Prec@5 71.875 (72.819)
Epoch: [106][2440/5005] Time 0.199 (0.211) Data 0.043 (0.047) Loss 2.0961 (2.2992) Prec@1 49.609 (47.429) Prec@5 76.562 (72.818)
Epoch: [106][2450/5005] Time 0.207 (0.211) Data 0.046 (0.047) Loss 2.0873 (2.2989) Prec@1 51.172 (47.437) Prec@5 77.734 (72.821)
Epoch: [106][2460/5005] Time 0.201 (0.211) Data 0.048 (0.047) Loss 2.2873 (2.2987) Prec@1 48.047 (47.440) Prec@5 73.438 (72.824)
Epoch: [106][2470/5005] Time 0.215 (0.211) Data 0.046 (0.047) Loss 2.0746 (2.2986) Prec@1 51.172 (47.442) Prec@5 76.562 (72.826)
Epoch: [106][2480/5005] Time 0.207 (0.211) Data 0.050 (0.047) Loss 2.3977 (2.2988) Prec@1 40.234 (47.431) Prec@5 71.484 (72.820)
Epoch: [106][2490/5005] Time 0.191 (0.211) Data 0.047 (0.047) Loss 2.1106 (2.2988) Prec@1 52.344 (47.432) Prec@5 76.562 (72.821)
Epoch: [106][2500/5005] Time 0.211 (0.211) Data 0.039 (0.047) Loss 2.3310 (2.2988) Prec@1 49.219 (47.434) Prec@5 69.922 (72.822)
Epoch: [106][2510/5005] Time 0.197 (0.211) Data 0.043 (0.047) Loss 2.3575 (2.2989) Prec@1 48.438 (47.432) Prec@5 74.609 (72.821)
Epoch: [106][2520/5005] Time 0.205 (0.211) Data 0.052 (0.047) Loss 2.1815 (2.2987) Prec@1 50.000 (47.439) Prec@5 75.000 (72.822)
Epoch: [106][2530/5005] Time 0.208 (0.211) Data 0.061 (0.047) Loss 2.4527 (2.2987) Prec@1 42.188 (47.436) Prec@5 68.359 (72.820)
Epoch: [106][2540/5005] Time 0.208 (0.211) Data 0.043 (0.047) Loss 2.3062 (2.2988) Prec@1 45.312 (47.436) Prec@5 75.000 (72.821)
Epoch: [106][2550/5005] Time 0.213 (0.211) Data 0.050 (0.047) Loss 2.3138 (2.2987) Prec@1 44.531 (47.437) Prec@5 75.391 (72.822)
Epoch: [106][2560/5005] Time 0.199 (0.211) Data 0.060 (0.047) Loss 2.6049 (2.2990) Prec@1 42.188 (47.437) Prec@5 67.188 (72.813)
Epoch: [106][2570/5005] Time 0.205 (0.211) Data 0.051 (0.047) Loss 2.2786 (2.2992) Prec@1 45.312 (47.434) Prec@5 75.000 (72.815)
Epoch: [106][2580/5005] Time 0.215 (0.211) Data 0.042 (0.047) Loss 2.5131 (2.2996) Prec@1 44.922 (47.430) Prec@5 68.750 (72.806)
Epoch: [106][2590/5005] Time 0.208 (0.211) Data 0.044 (0.047) Loss 2.4164 (2.2995) Prec@1 46.484 (47.431) Prec@5 70.312 (72.810)
Epoch: [106][2600/5005] Time 0.213 (0.211) Data 0.045 (0.047) Loss 2.2650 (2.2996) Prec@1 50.000 (47.431) Prec@5 75.000 (72.807)
Epoch: [106][2610/5005] Time 0.204 (0.211) Data 0.047 (0.047) Loss 2.3964 (2.2993) Prec@1 47.266 (47.436) Prec@5 70.703 (72.809)
Epoch: [106][2620/5005] Time 0.207 (0.211) Data 0.044 (0.047) Loss 2.3010 (2.2994) Prec@1 48.438 (47.436) Prec@5 72.266 (72.810)
Epoch: [106][2630/5005] Time 0.205 (0.211) Data 0.044 (0.047) Loss 2.5428 (2.2997) Prec@1 41.797 (47.431) Prec@5 69.141 (72.801)
Epoch: [106][2640/5005] Time 0.206 (0.211) Data 0.046 (0.047) Loss 2.4738 (2.2997) Prec@1 41.016 (47.432) Prec@5 70.312 (72.798)
Epoch: [106][2650/5005] Time 0.212 (0.211) Data 0.045 (0.047) Loss 2.4828 (2.2998) Prec@1 42.188 (47.427) Prec@5 71.094 (72.798)
Epoch: [106][2660/5005] Time 0.206 (0.211) Data 0.045 (0.047) Loss 2.2113 (2.2997) Prec@1 48.047 (47.430) Prec@5 71.875 (72.792)
Epoch: [106][2670/5005] Time 0.211 (0.211) Data 0.044 (0.047) Loss 2.0687 (2.2996) Prec@1 48.828 (47.434) Prec@5 75.781 (72.794)
Epoch: [106][2680/5005] Time 0.202 (0.211) Data 0.042 (0.047) Loss 2.2584 (2.2996) Prec@1 53.906 (47.431) Prec@5 74.219 (72.794)
Epoch: [106][2690/5005] Time 0.211 (0.211) Data 0.042 (0.047) Loss 2.0980 (2.2994) Prec@1 55.078 (47.436) Prec@5 75.391 (72.800)
Epoch: [106][2700/5005] Time 0.207 (0.211) Data 0.043 (0.047) Loss 2.3030 (2.2993) Prec@1 47.656 (47.436) Prec@5 71.094 (72.800)
Epoch: [106][2710/5005] Time 0.216 (0.211) Data 0.046 (0.047) Loss 2.1589 (2.2995) Prec@1 50.781 (47.435) Prec@5 74.609 (72.798)
Epoch: [106][2720/5005] Time 0.207 (0.211) Data 0.040 (0.047) Loss 2.2235 (2.2995) Prec@1 51.172 (47.436) Prec@5 73.438 (72.798)
Epoch: [106][2730/5005] Time 0.210 (0.211) Data 0.048 (0.047) Loss 2.2229 (2.2991) Prec@1 50.391 (47.444) Prec@5 73.828 (72.804)
Epoch: [106][2740/5005] Time 0.203 (0.211) Data 0.042 (0.047) Loss 2.2609 (2.2991) Prec@1 51.953 (47.450) Prec@5 74.609 (72.805)
Epoch: [106][2750/5005] Time 0.214 (0.211) Data 0.043 (0.047) Loss 2.3249 (2.2990) Prec@1 43.750 (47.452) Prec@5 72.266 (72.807)
Epoch: [106][2760/5005] Time 0.207 (0.211) Data 0.045 (0.047) Loss 2.2033 (2.2988) Prec@1 51.562 (47.455) Prec@5 73.828 (72.809)
Epoch: [106][2770/5005] Time 0.196 (0.211) Data 0.042 (0.047) Loss 2.1608 (2.2989) Prec@1 50.391 (47.452) Prec@5 75.391 (72.811)
Epoch: [106][2780/5005] Time 0.207 (0.211) Data 0.044 (0.047) Loss 2.5760 (2.2988) Prec@1 41.016 (47.453) Prec@5 64.844 (72.809)
Epoch: [106][2790/5005] Time 0.198 (0.211) Data 0.050 (0.047) Loss 2.5959 (2.2989) Prec@1 40.625 (47.456) Prec@5 66.797 (72.805)
Epoch: [106][2800/5005] Time 0.201 (0.211) Data 0.049 (0.047) Loss 2.0961 (2.2989) Prec@1 51.172 (47.462) Prec@5 74.219 (72.805)
Epoch: [106][2810/5005] Time 0.209 (0.211) Data 0.040 (0.047) Loss 2.4960 (2.2990) Prec@1 47.266 (47.462) Prec@5 70.312 (72.806)
Epoch: [106][2820/5005] Time 0.209 (0.211) Data 0.047 (0.047) Loss 2.0343 (2.2987) Prec@1 49.609 (47.467) Prec@5 76.562 (72.810)
Epoch: [106][2830/5005] Time 0.214 (0.211) Data 0.046 (0.047) Loss 2.5294 (2.2987) Prec@1 43.359 (47.465) Prec@5 70.703 (72.806)
Epoch: [106][2840/5005] Time 0.199 (0.211) Data 0.044 (0.047) Loss 2.3472 (2.2987) Prec@1 45.312 (47.465) Prec@5 71.484 (72.804)
Epoch: [106][2850/5005] Time 0.206 (0.211) Data 0.048 (0.047) Loss 2.2723 (2.2986) Prec@1 51.172 (47.467) Prec@5 69.141 (72.805)
Epoch: [106][2860/5005] Time 0.206 (0.211) Data 0.044 (0.047) Loss 2.3338 (2.2988) Prec@1 46.484 (47.463) Prec@5 70.703 (72.803)
Epoch: [106][2870/5005] Time 0.199 (0.211) Data 0.046 (0.047) Loss 2.1031 (2.2986) Prec@1 53.516 (47.469) Prec@5 75.781 (72.807)
Epoch: [106][2880/5005] Time 0.215 (0.211) Data 0.043 (0.047) Loss 2.3179 (2.2986) Prec@1 45.703 (47.469) Prec@5 73.828 (72.806)
Epoch: [106][2890/5005] Time 0.198 (0.211) Data 0.060 (0.047) Loss 2.3823 (2.2985) Prec@1 44.531 (47.473) Prec@5 70.312 (72.809)
Epoch: [106][2900/5005] Time 0.205 (0.211) Data 0.059 (0.047) Loss 1.9564 (2.2982) Prec@1 51.953 (47.476) Prec@5 78.516 (72.815)
Epoch: [106][2910/5005] Time 0.207 (0.211) Data 0.052 (0.047) Loss 2.2281 (2.2982) Prec@1 44.531 (47.472) Prec@5 76.172 (72.817)
Epoch: [106][2920/5005] Time 0.207 (0.211) Data 0.042 (0.047) Loss 2.3877 (2.2981) Prec@1 46.094 (47.475) Prec@5 68.750 (72.818)
Epoch: [106][2930/5005] Time 0.208 (0.211) Data 0.049 (0.047) Loss 2.4692 (2.2981) Prec@1 42.578 (47.474) Prec@5 76.562 (72.821)
Epoch: [106][2940/5005] Time 0.205 (0.211) Data 0.062 (0.047) Loss 2.4274 (2.2980) Prec@1 46.094 (47.477) Prec@5 74.219 (72.823)
Epoch: [106][2950/5005] Time 0.198 (0.211) Data 0.047 (0.047) Loss 2.3860 (2.2979) Prec@1 42.578 (47.475) Prec@5 73.047 (72.823)
Epoch: [106][2960/5005] Time 0.200 (0.211) Data 0.044 (0.047) Loss 2.3018 (2.2978) Prec@1 47.656 (47.480) Prec@5 71.875 (72.825)
Epoch: [106][2970/5005] Time 0.211 (0.211) Data 0.042 (0.047) Loss 2.3168 (2.2975) Prec@1 42.188 (47.480) Prec@5 73.047 (72.833)
Epoch: [106][2980/5005] Time 0.209 (0.211) Data 0.048 (0.047) Loss 2.3747 (2.2975) Prec@1 46.484 (47.482) Prec@5 72.266 (72.832)
Epoch: [106][2990/5005] Time 0.213 (0.211) Data 0.041 (0.047) Loss 2.2755 (2.2977) Prec@1 48.438 (47.477) Prec@5 73.047 (72.830)
Epoch: [106][3000/5005] Time 0.201 (0.211) Data 0.045 (0.047) Loss 2.3417 (2.2975) Prec@1 44.531 (47.478) Prec@5 69.922 (72.829)
Epoch: [106][3010/5005] Time 0.195 (0.211) Data 0.040 (0.047) Loss 2.2124 (2.2975) Prec@1 47.266 (47.480) Prec@5 71.875 (72.826)
Epoch: [106][3020/5005] Time 0.202 (0.211) Data 0.047 (0.047) Loss 2.3273 (2.2976) Prec@1 47.266 (47.476) Prec@5 70.703 (72.824)
Epoch: [106][3030/5005] Time 0.208 (0.210) Data 0.044 (0.047) Loss 2.3772 (2.2977) Prec@1 47.266 (47.474) Prec@5 73.828 (72.824)
Epoch: [106][3040/5005] Time 0.194 (0.210) Data 0.050 (0.047) Loss 2.1963 (2.2976) Prec@1 52.344 (47.479) Prec@5 71.875 (72.825)
Epoch: [106][3050/5005] Time 0.211 (0.210) Data 0.044 (0.047) Loss 2.3449 (2.2976) Prec@1 44.141 (47.479) Prec@5 73.438 (72.825)
Epoch: [106][3060/5005] Time 0.209 (0.210) Data 0.046 (0.047) Loss 2.1442 (2.2975) Prec@1 50.391 (47.479) Prec@5 75.391 (72.827)
Epoch: [106][3070/5005] Time 0.198 (0.210) Data 0.041 (0.047) Loss 2.3247 (2.2977) Prec@1 46.875 (47.478) Prec@5 73.438 (72.824)
Epoch: [106][3080/5005] Time 0.204 (0.210) Data 0.050 (0.047) Loss 2.0373 (2.2978) Prec@1 49.609 (47.478) Prec@5 76.172 (72.823)
Epoch: [106][3090/5005] Time 0.209 (0.210) Data 0.042 (0.047) Loss 2.4939 (2.2977) Prec@1 42.578 (47.478) Prec@5 69.531 (72.826)
Epoch: [106][3100/5005] Time 0.215 (0.210) Data 0.058 (0.047) Loss 2.4047 (2.2978) Prec@1 47.266 (47.473) Prec@5 70.703 (72.826)
Epoch: [106][3110/5005] Time 0.205 (0.210) Data 0.045 (0.047) Loss 2.1873 (2.2975) Prec@1 48.828 (47.476) Prec@5 78.125 (72.836)
Epoch: [106][3120/5005] Time 0.213 (0.210) Data 0.049 (0.047) Loss 2.3040 (2.2975) Prec@1 44.141 (47.473) Prec@5 71.094 (72.835)
Epoch: [106][3130/5005] Time 0.215 (0.210) Data 0.043 (0.047) Loss 2.2717 (2.2974) Prec@1 44.141 (47.475) Prec@5 74.609 (72.838)
Epoch: [106][3140/5005] Time 0.215 (0.210) Data 0.044 (0.047) Loss 2.0922 (2.2972) Prec@1 54.688 (47.480) Prec@5 75.781 (72.840)
Epoch: [106][3150/5005] Time 0.204 (0.210) Data 0.065 (0.047) Loss 2.3138 (2.2973) Prec@1 53.906 (47.482) Prec@5 71.875 (72.838)
Epoch: [106][3160/5005] Time 0.203 (0.210) Data 0.047 (0.047) Loss 2.2060 (2.2973) Prec@1 51.562 (47.483) Prec@5 73.047 (72.836)
Epoch: [106][3170/5005] Time 0.210 (0.210) Data 0.048 (0.047) Loss 2.3763 (2.2973) Prec@1 46.875 (47.484) Prec@5 71.875 (72.838)
Epoch: [106][3180/5005] Time 0.220 (0.210) Data 0.047 (0.047) Loss 2.0956 (2.2973) Prec@1 51.172 (47.485) Prec@5 78.125 (72.836)
Epoch: [106][3190/5005] Time 0.208 (0.210) Data 0.049 (0.047) Loss 2.3174 (2.2973) Prec@1 46.484 (47.487) Prec@5 71.875 (72.838)
Epoch: [106][3200/5005] Time 0.204 (0.210) Data 0.042 (0.047) Loss 2.4711 (2.2974) Prec@1 41.016 (47.487) Prec@5 71.484 (72.837)
Epoch: [106][3210/5005] Time 0.208 (0.210) Data 0.050 (0.047) Loss 2.4350 (2.2974) Prec@1 45.703 (47.489) Prec@5 71.875 (72.838)
Epoch: [106][3220/5005] Time 0.201 (0.210) Data 0.051 (0.047) Loss 2.3993 (2.2974) Prec@1 46.875 (47.490) Prec@5 73.438 (72.838)
Epoch: [106][3230/5005] Time 0.207 (0.210) Data 0.043 (0.047) Loss 2.1690 (2.2971) Prec@1 54.297 (47.497) Prec@5 73.828 (72.842)
Epoch: [106][3240/5005] Time 0.209 (0.210) Data 0.044 (0.047) Loss 2.5238 (2.2973) Prec@1 41.406 (47.491) Prec@5 68.359 (72.838)
Epoch: [106][3250/5005] Time 0.199 (0.210) Data 0.048 (0.047) Loss 2.2090 (2.2974) Prec@1 47.266 (47.488) Prec@5 77.344 (72.836)
Epoch: [106][3260/5005] Time 0.190 (0.210) Data 0.050 (0.047) Loss 2.2280 (2.2974) Prec@1 46.094 (47.485) Prec@5 73.828 (72.838)
Epoch: [106][3270/5005] Time 0.204 (0.210) Data 0.048 (0.047) Loss 2.3498 (2.2972) Prec@1 46.484 (47.488) Prec@5 70.312 (72.840)
Epoch: [106][3280/5005] Time 0.206 (0.210) Data 0.052 (0.047) Loss 2.1700 (2.2972) Prec@1 51.953 (47.492) Prec@5 75.391 (72.842)
Epoch: [106][3290/5005] Time 0.191 (0.210) Data 0.041 (0.047) Loss 2.3573 (2.2972) Prec@1 47.266 (47.493) Prec@5 72.266 (72.842)
Epoch: [106][3300/5005] Time 0.206 (0.210) Data 0.040 (0.047) Loss 2.0999 (2.2971) Prec@1 46.094 (47.492) Prec@5 75.781 (72.843)
Epoch: [106][3310/5005] Time 0.206 (0.210) Data 0.043 (0.047) Loss 2.1516 (2.2971) Prec@1 52.734 (47.490) Prec@5 77.344 (72.844)
Epoch: [106][3320/5005] Time 0.204 (0.210) Data 0.046 (0.047) Loss 2.4490 (2.2971) Prec@1 44.922 (47.490) Prec@5 71.875 (72.846)
Epoch: [106][3330/5005] Time 0.208 (0.210) Data 0.042 (0.047) Loss 2.3263 (2.2971) Prec@1 44.922 (47.491) Prec@5 73.047 (72.848)
Epoch: [106][3340/5005] Time 0.209 (0.210) Data 0.052 (0.047) Loss 2.4132 (2.2971) Prec@1 46.484 (47.492) Prec@5 71.484 (72.850)
Epoch: [106][3350/5005] Time 0.213 (0.210) Data 0.046 (0.047) Loss 2.3921 (2.2970) Prec@1 43.750 (47.492) Prec@5 73.438 (72.852)
Epoch: [106][3360/5005] Time 0.206 (0.210) Data 0.049 (0.047) Loss 2.2248 (2.2972) Prec@1 52.344 (47.494) Prec@5 75.391 (72.852)
Epoch: [106][3370/5005] Time 0.201 (0.210) Data 0.044 (0.047) Loss 2.3860 (2.2972) Prec@1 39.844 (47.490) Prec@5 70.703 (72.849)
Epoch: [106][3380/5005] Time 0.201 (0.210) Data 0.047 (0.047) Loss 2.2024 (2.2970) Prec@1 49.219 (47.491) Prec@5 73.438 (72.852)
Epoch: [106][3390/5005] Time 0.217 (0.210) Data 0.043 (0.047) Loss 2.1490 (2.2972) Prec@1 48.047 (47.488) Prec@5 76.172 (72.848)
Epoch: [106][3400/5005] Time 0.203 (0.210) Data 0.045 (0.047) Loss 2.2530 (2.2973) Prec@1 47.266 (47.486) Prec@5 73.828 (72.846)
Epoch: [106][3410/5005] Time 0.212 (0.210) Data 0.043 (0.047) Loss 2.1799 (2.2972) Prec@1 51.172 (47.489) Prec@5 75.391 (72.847)
Epoch: [106][3420/5005] Time 0.209 (0.210) Data 0.042 (0.047) Loss 2.1950 (2.2971) Prec@1 46.484 (47.491) Prec@5 73.828 (72.850)
Epoch: [106][3430/5005] Time 0.214 (0.210) Data 0.044 (0.047) Loss 2.1836 (2.2969) Prec@1 48.047 (47.495) Prec@5 73.047 (72.852)
Epoch: [106][3440/5005] Time 0.206 (0.210) Data 0.045 (0.047) Loss 2.3657 (2.2968) Prec@1 47.266 (47.497) Prec@5 71.094 (72.850)
Epoch: [106][3450/5005] Time 0.209 (0.210) Data 0.046 (0.047) Loss 2.2156 (2.2966) Prec@1 47.656 (47.498) Prec@5 73.828 (72.855)
Epoch: [106][3460/5005] Time 0.200 (0.210) Data 0.044 (0.047) Loss 2.3357 (2.2967) Prec@1 47.266 (47.499) Prec@5 73.047 (72.854)
Epoch: [106][3470/5005] Time 0.203 (0.210) Data 0.039 (0.047) Loss 2.1394 (2.2965) Prec@1 48.828 (47.501) Prec@5 75.000 (72.859)
Epoch: [106][3480/5005] Time 0.204 (0.210) Data 0.038 (0.047) Loss 2.1945 (2.2963) Prec@1 47.656 (47.501) Prec@5 76.172 (72.861)
Epoch: [106][3490/5005] Time 0.205 (0.210) Data 0.061 (0.047) Loss 2.2842 (2.2963) Prec@1 48.438 (47.501) Prec@5 72.656 (72.860)
Epoch: [106][3500/5005] Time 0.204 (0.210) Data 0.056 (0.047) Loss 2.1718 (2.2964) Prec@1 48.438 (47.497) Prec@5 76.172 (72.860)
Epoch: [106][3510/5005] Time 0.197 (0.210) Data 0.047 (0.047) Loss 2.1056 (2.2962) Prec@1 48.828 (47.500) Prec@5 77.734 (72.862)
Epoch: [106][3520/5005] Time 0.198 (0.210) Data 0.059 (0.047) Loss 2.4415 (2.2963) Prec@1 47.656 (47.499) Prec@5 68.359 (72.861)
Epoch: [106][3530/5005] Time 0.200 (0.210) Data 0.058 (0.047) Loss 2.2666 (2.2962) Prec@1 47.656 (47.502) Prec@5 75.391 (72.862)
Epoch: [106][3540/5005] Time 0.203 (0.210) Data 0.053 (0.047) Loss 2.1511 (2.2960) Prec@1 46.875 (47.502) Prec@5 75.781 (72.865)
Epoch: [106][3550/5005] Time 0.217 (0.210) Data 0.048 (0.047) Loss 2.3485 (2.2959) Prec@1 45.703 (47.503) Prec@5 72.266 (72.866)
Epoch: [106][3560/5005] Time 0.210 (0.210) Data 0.045 (0.047) Loss 2.3906 (2.2959) Prec@1 44.922 (47.504) Prec@5 71.875 (72.867)
Epoch: [106][3570/5005] Time 0.198 (0.210) Data 0.046 (0.047) Loss 2.4724 (2.2959) Prec@1 44.141 (47.501) Prec@5 67.969 (72.864)
Epoch: [106][3580/5005] Time 0.209 (0.210) Data 0.043 (0.047) Loss 2.1497 (2.2959) Prec@1 49.609 (47.498) Prec@5 76.172 (72.865)
Epoch: [106][3590/5005] Time 0.210 (0.210) Data 0.040 (0.047) Loss 2.3078 (2.2956) Prec@1 50.000 (47.502) Prec@5 72.266 (72.870)
Epoch: [106][3600/5005] Time 0.203 (0.210) Data 0.047 (0.047) Loss 2.3229 (2.2954) Prec@1 51.172 (47.507) Prec@5 69.922 (72.871)
Epoch: [106][3610/5005] Time 0.215 (0.210) Data 0.053 (0.047) Loss 2.1968 (2.2955) Prec@1 49.219 (47.504) Prec@5 75.781 (72.867)
Epoch: [106][3620/5005] Time 0.210 (0.210) Data 0.046 (0.047) Loss 2.5365 (2.2953) Prec@1 39.844 (47.507) Prec@5 71.484 (72.871)
Epoch: [106][3630/5005] Time 0.194 (0.210) Data 0.043 (0.047) Loss 2.6903 (2.2954) Prec@1 44.141 (47.508) Prec@5 66.016 (72.870)
Epoch: [106][3640/5005] Time 0.214 (0.210) Data 0.046 (0.047) Loss 2.2446 (2.2954) Prec@1 49.609 (47.508) Prec@5 76.562 (72.870)
Epoch: [106][3650/5005] Time 0.206 (0.210) Data 0.048 (0.047) Loss 2.1354 (2.2954) Prec@1 48.438 (47.508) Prec@5 75.000 (72.873)
Epoch: [106][3660/5005] Time 0.218 (0.210) Data 0.048 (0.047) Loss 2.4131 (2.2952) Prec@1 45.312 (47.511) Prec@5 69.141 (72.875)
Epoch: [106][3670/5005] Time 0.210 (0.210) Data 0.046 (0.047) Loss 2.3685 (2.2953) Prec@1 46.484 (47.508) Prec@5 72.266 (72.876)
Epoch: [106][3680/5005] Time 0.204 (0.210) Data 0.046 (0.047) Loss 2.0937 (2.2953) Prec@1 50.391 (47.507) Prec@5 78.125 (72.875)
Epoch: [106][3690/5005] Time 0.212 (0.210) Data 0.044 (0.047) Loss 2.1035 (2.2953) Prec@1 48.828 (47.505) Prec@5 77.734 (72.878)
Epoch: [106][3700/5005] Time 0.211 (0.210) Data 0.043 (0.047) Loss 2.3329 (2.2953) Prec@1 48.047 (47.504) Prec@5 73.047 (72.877)
Epoch: [106][3710/5005] Time 0.203 (0.210) Data 0.041 (0.047) Loss 2.1501 (2.2954) Prec@1 49.609 (47.503) Prec@5 75.781 (72.877)
Epoch: [106][3720/5005] Time 0.200 (0.210) Data 0.048 (0.047) Loss 2.4550 (2.2953) Prec@1 46.094 (47.507) Prec@5 72.266 (72.879)
Epoch: [106][3730/5005] Time 0.204 (0.210) Data 0.042 (0.047) Loss 2.1329 (2.2952) Prec@1 53.516 (47.510) Prec@5 77.344 (72.882)
Epoch: [106][3740/5005] Time 0.202 (0.210) Data 0.043 (0.047) Loss 2.1591 (2.2949) Prec@1 48.438 (47.515) Prec@5 78.125 (72.886)
Epoch: [106][3750/5005] Time 0.213 (0.210) Data 0.046 (0.047) Loss 2.1065 (2.2950) Prec@1 54.688 (47.517) Prec@5 73.438 (72.885)
Epoch: [106][3760/5005] Time 0.216 (0.210) Data 0.041 (0.047) Loss 2.3159 (2.2951) Prec@1 50.781 (47.515) Prec@5 69.922 (72.881)
Epoch: [106][3770/5005] Time 0.200 (0.210) Data 0.041 (0.047) Loss 2.4604 (2.2949) Prec@1 47.656 (47.516) Prec@5 72.266 (72.884)
Epoch: [106][3780/5005] Time 0.204 (0.210) Data 0.061 (0.047) Loss 2.1641 (2.2949) Prec@1 45.703 (47.517) Prec@5 72.656 (72.884)
Epoch: [106][3790/5005] Time 0.197 (0.210) Data 0.059 (0.047) Loss 2.3149 (2.2949) Prec@1 45.703 (47.515) Prec@5 71.484 (72.882)
Epoch: [106][3800/5005] Time 0.208 (0.210) Data 0.060 (0.047) Loss 2.3143 (2.2952) Prec@1 45.312 (47.510) Prec@5 71.094 (72.875)
Epoch: [106][3810/5005] Time 0.197 (0.210) Data 0.053 (0.047) Loss 2.2712 (2.2952) Prec@1 48.828 (47.507) Prec@5 72.656 (72.874)
Epoch: [106][3820/5005] Time 0.201 (0.210) Data 0.047 (0.047) Loss 2.2456 (2.2951) Prec@1 50.000 (47.506) Prec@5 75.781 (72.878)
Epoch: [106][3830/5005] Time 0.204 (0.210) Data 0.040 (0.047) Loss 2.3297 (2.2948) Prec@1 46.875 (47.511) Prec@5 69.922 (72.880)
Epoch: [106][3840/5005] Time 0.209 (0.210) Data 0.051 (0.047) Loss 2.5476 (2.2949) Prec@1 40.625 (47.510) Prec@5 67.969 (72.878)
Epoch: [106][3850/5005] Time 0.197 (0.210) Data 0.047 (0.047) Loss 2.3616 (2.2948) Prec@1 48.438 (47.512) Prec@5 71.094 (72.878)
Epoch: [106][3860/5005] Time 0.201 (0.210) Data 0.049 (0.047) Loss 2.0437 (2.2947) Prec@1 54.297 (47.516) Prec@5 75.781 (72.880)
Epoch: [106][3870/5005] Time 0.199 (0.210) Data 0.046 (0.047) Loss 2.3497 (2.2948) Prec@1 44.531 (47.512) Prec@5 71.094 (72.876)
Epoch: [106][3880/5005] Time 0.217 (0.210) Data 0.042 (0.047) Loss 2.1660 (2.2948) Prec@1 50.391 (47.512) Prec@5 73.828 (72.876)
Epoch: [106][3890/5005] Time 0.215 (0.210) Data 0.042 (0.047) Loss 2.4715 (2.2948) Prec@1 41.406 (47.511) Prec@5 70.312 (72.875)
Epoch: [106][3900/5005] Time 0.211 (0.210) Data 0.043 (0.047) Loss 2.4888 (2.2949) Prec@1 45.312 (47.508) Prec@5 67.969 (72.873)
Epoch: [106][3910/5005] Time 0.214 (0.210) Data 0.045 (0.047) Loss 2.2057 (2.2948) Prec@1 47.656 (47.512) Prec@5 75.781 (72.874)
Epoch: [106][3920/5005] Time 0.213 (0.210) Data 0.044 (0.047) Loss 2.2827 (2.2948) Prec@1 49.609 (47.512) Prec@5 73.438 (72.871)
Epoch: [106][3930/5005] Time 0.211 (0.210) Data 0.044 (0.047) Loss 2.3085 (2.2946) Prec@1 49.609 (47.516) Prec@5 71.094 (72.874)
Epoch: [106][3940/5005] Time 0.211 (0.210) Data 0.044 (0.047) Loss 2.2330 (2.2946) Prec@1 49.219 (47.517) Prec@5 75.000 (72.876)
Epoch: [106][3950/5005] Time 0.203 (0.210) Data 0.042 (0.047) Loss 2.1803 (2.2944) Prec@1 51.562 (47.522) Prec@5 73.047 (72.879)
Epoch: [106][3960/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.2220 (2.2944) Prec@1 49.609 (47.521) Prec@5 77.734 (72.879)
Epoch: [106][3970/5005] Time 0.214 (0.210) Data 0.042 (0.047) Loss 2.2776 (2.2943) Prec@1 51.172 (47.519) Prec@5 73.828 (72.879)
Epoch: [106][3980/5005] Time 0.205 (0.210) Data 0.045 (0.047) Loss 2.1607 (2.2943) Prec@1 50.781 (47.521) Prec@5 74.609 (72.880)
Epoch: [106][3990/5005] Time 0.208 (0.210) Data 0.043 (0.047) Loss 2.3360 (2.2944) Prec@1 48.438 (47.516) Prec@5 73.047 (72.878)
Epoch: [106][4000/5005] Time 0.203 (0.210) Data 0.045 (0.047) Loss 2.1745 (2.2944) Prec@1 45.312 (47.513) Prec@5 75.391 (72.880)
Epoch: [106][4010/5005] Time 0.210 (0.210) Data 0.051 (0.047) Loss 2.4404 (2.2942) Prec@1 44.531 (47.514) Prec@5 69.531 (72.883)
Epoch: [106][4020/5005] Time 0.203 (0.210) Data 0.050 (0.047) Loss 2.3788 (2.2941) Prec@1 44.531 (47.513) Prec@5 69.922 (72.882)
Epoch: [106][4030/5005] Time 0.195 (0.210) Data 0.045 (0.047) Loss 2.4977 (2.2943) Prec@1 44.922 (47.513) Prec@5 67.578 (72.880)
Epoch: [106][4040/5005] Time 0.206 (0.210) Data 0.050 (0.047) Loss 2.3469 (2.2944) Prec@1 47.656 (47.512) Prec@5 72.656 (72.877)
Epoch: [106][4050/5005] Time 0.207 (0.210) Data 0.065 (0.047) Loss 2.4334 (2.2943) Prec@1 44.922 (47.514) Prec@5 69.141 (72.879)
Epoch: [106][4060/5005] Time 0.205 (0.210) Data 0.048 (0.047) Loss 2.3418 (2.2944) Prec@1 45.312 (47.514) Prec@5 70.703 (72.878)
Epoch: [106][4070/5005] Time 0.213 (0.210) Data 0.044 (0.047) Loss 2.5530 (2.2944) Prec@1 44.531 (47.515) Prec@5 69.531 (72.878)
Epoch: [106][4080/5005] Time 0.198 (0.210) Data 0.046 (0.047) Loss 2.3716 (2.2943) Prec@1 44.531 (47.517) Prec@5 73.828 (72.879)
Epoch: [106][4090/5005] Time 0.197 (0.210) Data 0.058 (0.047) Loss 2.3691 (2.2942) Prec@1 43.750 (47.516) Prec@5 70.312 (72.880)
Epoch: [106][4100/5005] Time 0.200 (0.210) Data 0.046 (0.047) Loss 2.2990 (2.2942) Prec@1 45.312 (47.515) Prec@5 73.828 (72.879)
Epoch: [106][4110/5005] Time 0.211 (0.210) Data 0.044 (0.047) Loss 2.3880 (2.2943) Prec@1 46.094 (47.511) Prec@5 70.312 (72.879)
Epoch: [106][4120/5005] Time 0.208 (0.210) Data 0.042 (0.047) Loss 2.4017 (2.2941) Prec@1 45.312 (47.512) Prec@5 66.797 (72.879)
Epoch: [106][4130/5005] Time 0.209 (0.210) Data 0.043 (0.047) Loss 2.4613 (2.2942) Prec@1 44.531 (47.512) Prec@5 69.141 (72.879)
Epoch: [106][4140/5005] Time 0.209 (0.210) Data 0.044 (0.047) Loss 2.3258 (2.2941) Prec@1 47.656 (47.512) Prec@5 73.438 (72.882)
Epoch: [106][4150/5005] Time 0.216 (0.210) Data 0.045 (0.047) Loss 2.5260 (2.2942) Prec@1 42.969 (47.510) Prec@5 69.531 (72.880)
Epoch: [106][4160/5005] Time 0.211 (0.210) Data 0.044 (0.047) Loss 2.2722 (2.2944) Prec@1 49.609 (47.509) Prec@5 75.000 (72.877)
Epoch: [106][4170/5005] Time 0.211 (0.210) Data 0.044 (0.047) Loss 2.1906 (2.2942) Prec@1 46.484 (47.511) Prec@5 76.562 (72.880)
Epoch: [106][4180/5005] Time 0.210 (0.210) Data 0.048 (0.047) Loss 2.1458 (2.2941) Prec@1 52.734 (47.512) Prec@5 73.438 (72.882)
Epoch: [106][4190/5005] Time 0.194 (0.210) Data 0.042 (0.047) Loss 2.1146 (2.2941) Prec@1 50.391 (47.514) Prec@5 75.391 (72.881)
Epoch: [106][4200/5005] Time 0.209 (0.210) Data 0.045 (0.047) Loss 2.1379 (2.2941) Prec@1 48.047 (47.512) Prec@5 76.172 (72.882)
Epoch: [106][4210/5005] Time 0.201 (0.210) Data 0.042 (0.047) Loss 2.0999 (2.2940) Prec@1 51.953 (47.514) Prec@5 77.734 (72.884)
Epoch: [106][4220/5005] Time 0.210 (0.210) Data 0.044 (0.047) Loss 2.4303 (2.2941) Prec@1 44.531 (47.514) Prec@5 71.484 (72.882)
Epoch: [106][4230/5005] Time 0.212 (0.210) Data 0.043 (0.047) Loss 2.3333 (2.2941) Prec@1 46.484 (47.518) Prec@5 70.312 (72.882)
Epoch: [106][4240/5005] Time 0.198 (0.210) Data 0.044 (0.047) Loss 2.1777 (2.2941) Prec@1 47.266 (47.515) Prec@5 75.781 (72.880)
Epoch: [106][4250/5005] Time 0.193 (0.210) Data 0.043 (0.047) Loss 2.1519 (2.2939) Prec@1 49.219 (47.517) Prec@5 74.609 (72.881)
Epoch: [106][4260/5005] Time 0.203 (0.210) Data 0.042 (0.047) Loss 2.2641 (2.2938) Prec@1 46.484 (47.518) Prec@5 71.484 (72.881)
Epoch: [106][4270/5005] Time 0.212 (0.210) Data 0.046 (0.047) Loss 2.4252 (2.2939) Prec@1 46.094 (47.518) Prec@5 72.656 (72.881)
Epoch: [106][4280/5005] Time 0.207 (0.210) Data 0.044 (0.047) Loss 2.3269 (2.2940) Prec@1 44.531 (47.516) Prec@5 75.000 (72.880)
Epoch: [106][4290/5005] Time 0.208 (0.210) Data 0.047 (0.047) Loss 2.4954 (2.2939) Prec@1 43.750 (47.516) Prec@5 69.531 (72.881)
Epoch: [106][4300/5005] Time 0.213 (0.210) Data 0.044 (0.047) Loss 2.1376 (2.2938) Prec@1 49.609 (47.519) Prec@5 75.781 (72.881)
Epoch: [106][4310/5005] Time 0.210 (0.210) Data 0.042 (0.047) Loss 2.2434 (2.2937) Prec@1 50.781 (47.519) Prec@5 74.219 (72.881)
Epoch: [106][4320/5005] Time 0.208 (0.210) Data 0.044 (0.047) Loss 2.3598 (2.2937) Prec@1 47.266 (47.520) Prec@5 75.391 (72.881)
Epoch: [106][4330/5005] Time 0.205 (0.210) Data 0.039 (0.047) Loss 2.1738 (2.2937) Prec@1 44.922 (47.517) Prec@5 74.609 (72.881)
Epoch: [106][4340/5005] Time 0.211 (0.210) Data 0.041 (0.047) Loss 2.2821 (2.2938) Prec@1 46.094 (47.515) Prec@5 71.094 (72.880)
Epoch: [106][4350/5005] Time 0.216 (0.210) Data 0.042 (0.047) Loss 2.3739 (2.2938) Prec@1 46.875 (47.516) Prec@5 71.875 (72.879)
Epoch: [106][4360/5005] Time 0.213 (0.210) Data 0.044 (0.047) Loss 2.2384 (2.2937) Prec@1 46.484 (47.517) Prec@5 71.875 (72.879)
Epoch: [106][4370/5005] Time 0.197 (0.210) Data 0.045 (0.047) Loss 2.2505 (2.2938) Prec@1 46.094 (47.515) Prec@5 72.656 (72.878)
Epoch: [106][4380/5005] Time 0.213 (0.210) Data 0.048 (0.047) Loss 2.4711 (2.2938) Prec@1 43.359 (47.510) Prec@5 71.875 (72.880)
Epoch: [106][4390/5005] Time 0.202 (0.210) Data 0.040 (0.047) Loss 2.3443 (2.2936) Prec@1 45.703 (47.512) Prec@5 72.266 (72.883)
Epoch: [106][4400/5005] Time 0.215 (0.210) Data 0.047 (0.047) Loss 2.2217 (2.2936) Prec@1 49.609 (47.514) Prec@5 70.703 (72.882)
Epoch: [106][4410/5005] Time 0.213 (0.210) Data 0.052 (0.047) Loss 2.2267 (2.2935) Prec@1 44.922 (47.514) Prec@5 73.828 (72.885)
Epoch: [106][4420/5005] Time 0.207 (0.210) Data 0.051 (0.047) Loss 2.0752 (2.2934) Prec@1 55.859 (47.515) Prec@5 75.391 (72.886)
Epoch: [106][4430/5005] Time 0.207 (0.210) Data 0.041 (0.047) Loss 2.3655 (2.2933) Prec@1 47.266 (47.518) Prec@5 71.875 (72.889)
Epoch: [106][4440/5005] Time 0.210 (0.210) Data 0.049 (0.047) Loss 2.3675 (2.2933) Prec@1 40.234 (47.516) Prec@5 73.438 (72.889)
Epoch: [106][4450/5005] Time 0.207 (0.210) Data 0.041 (0.047) Loss 2.1365 (2.2933) Prec@1 46.094 (47.515) Prec@5 75.000 (72.890)
Epoch: [106][4460/5005] Time 0.209 (0.210) Data 0.043 (0.047) Loss 2.3133 (2.2931) Prec@1 47.266 (47.515) Prec@5 72.656 (72.891)
Epoch: [106][4470/5005] Time 0.211 (0.210) Data 0.046 (0.047) Loss 2.1325 (2.2933) Prec@1 48.047 (47.512) Prec@5 75.000 (72.890)
Epoch: [106][4480/5005] Time 0.202 (0.210) Data 0.044 (0.047) Loss 2.1452 (2.2934) Prec@1 49.219 (47.508) Prec@5 75.391 (72.887)
Epoch: [106][4490/5005] Time 0.210 (0.210) Data 0.045 (0.047) Loss 2.2228 (2.2934) Prec@1 51.562 (47.507) Prec@5 74.219 (72.887)
Epoch: [106][4500/5005] Time 0.214 (0.210) Data 0.047 (0.047) Loss 2.2286 (2.2934) Prec@1 50.391 (47.509) Prec@5 76.953 (72.889)
Epoch: [106][4510/5005] Time 0.200 (0.210) Data 0.059 (0.047) Loss 2.0534 (2.2934) Prec@1 51.562 (47.507) Prec@5 77.734 (72.890)
Epoch: [106][4520/5005] Time 0.210 (0.210) Data 0.042 (0.047) Loss 2.2258 (2.2932) Prec@1 51.953 (47.510) Prec@5 77.344 (72.893)
Epoch: [106][4530/5005] Time 0.211 (0.209) Data 0.044 (0.047) Loss 2.2742 (2.2932) Prec@1 47.656 (47.514) Prec@5 75.781 (72.893)
Epoch: [106][4540/5005] Time 0.212 (0.209) Data 0.042 (0.047) Loss 2.2996 (2.2934) Prec@1 48.047 (47.509) Prec@5 69.922 (72.889)
Epoch: [106][4550/5005] Time 0.205 (0.209) Data 0.050 (0.047) Loss 2.3387 (2.2934) Prec@1 48.047 (47.510) Prec@5 70.703 (72.889)
Epoch: [106][4560/5005] Time 0.208 (0.209) Data 0.045 (0.047) Loss 2.2590 (2.2934) Prec@1 51.562 (47.510) Prec@5 71.875 (72.888)
Epoch: [106][4570/5005] Time 0.211 (0.209) Data 0.044 (0.047) Loss 2.2017 (2.2933) Prec@1 53.125 (47.513) Prec@5 74.609 (72.889)
Epoch: [106][4580/5005] Time 0.208 (0.209) Data 0.048 (0.047) Loss 2.3373 (2.2933) Prec@1 43.359 (47.513) Prec@5 72.266 (72.888)
Epoch: [106][4590/5005] Time 0.195 (0.209) Data 0.047 (0.047) Loss 2.1289 (2.2934) Prec@1 50.000 (47.513) Prec@5 78.125 (72.888)
Epoch: [106][4600/5005] Time 0.211 (0.209) Data 0.045 (0.047) Loss 2.2025 (2.2933) Prec@1 48.438 (47.513) Prec@5 74.219 (72.886)
Epoch: [106][4610/5005] Time 0.209 (0.209) Data 0.044 (0.047) Loss 2.0311 (2.2933) Prec@1 50.781 (47.513) Prec@5 79.688 (72.889)
Epoch: [106][4620/5005] Time 0.209 (0.209) Data 0.044 (0.047) Loss 2.1499 (2.2933) Prec@1 50.781 (47.515) Prec@5 76.172 (72.890)
Epoch: [106][4630/5005] Time 0.202 (0.209) Data 0.040 (0.047) Loss 2.1743 (2.2931) Prec@1 48.828 (47.515) Prec@5 75.000 (72.894)
Epoch: [106][4640/5005] Time 0.214 (0.209) Data 0.041 (0.047) Loss 2.4017 (2.2930) Prec@1 45.703 (47.516) Prec@5 70.703 (72.895)
Epoch: [106][4650/5005] Time 0.210 (0.209) Data 0.044 (0.047) Loss 2.2544 (2.2930) Prec@1 49.219 (47.518) Prec@5 71.094 (72.895)
Epoch: [106][4660/5005] Time 0.209 (0.209) Data 0.040 (0.047) Loss 2.5704 (2.2930) Prec@1 39.844 (47.517) Prec@5 66.406 (72.893)
Epoch: [106][4670/5005] Time 0.217 (0.209) Data 0.050 (0.047) Loss 2.3074 (2.2929) Prec@1 45.703 (47.517) Prec@5 73.438 (72.896)
Epoch: [106][4680/5005] Time 0.206 (0.209) Data 0.043 (0.047) Loss 2.1985 (2.2929) Prec@1 48.047 (47.516) Prec@5 77.734 (72.897)
Epoch: [106][4690/5005] Time 0.210 (0.209) Data 0.049 (0.047) Loss 2.3545 (2.2928) Prec@1 50.000 (47.518) Prec@5 69.922 (72.899)
Epoch: [106][4700/5005] Time 0.205 (0.209) Data 0.042 (0.047) Loss 2.2540 (2.2928) Prec@1 50.000 (47.521) Prec@5 73.438 (72.900)
Epoch: [106][4710/5005] Time 0.204 (0.209) Data 0.048 (0.047) Loss 2.0920 (2.2926) Prec@1 50.391 (47.524) Prec@5 76.953 (72.902)
Epoch: [106][4720/5005] Time 0.196 (0.209) Data 0.046 (0.047) Loss 2.1654 (2.2926) Prec@1 51.562 (47.525) Prec@5 76.172 (72.904)
Epoch: [106][4730/5005] Time 0.205 (0.209) Data 0.047 (0.047) Loss 2.3069 (2.2927) Prec@1 48.828 (47.522) Prec@5 74.609 (72.902)
Epoch: [106][4740/5005] Time 0.209 (0.209) Data 0.046 (0.047) Loss 2.1887 (2.2926) Prec@1 48.047 (47.523) Prec@5 77.344 (72.905)
Epoch: [106][4750/5005] Time 0.214 (0.209) Data 0.048 (0.047) Loss 2.1009 (2.2925) Prec@1 51.562 (47.527) Prec@5 74.609 (72.906)
Epoch: [106][4760/5005] Time 0.204 (0.209) Data 0.045 (0.047) Loss 2.4551 (2.2924) Prec@1 43.359 (47.528) Prec@5 67.969 (72.907)
Epoch: [106][4770/5005] Time 0.207 (0.209) Data 0.049 (0.047) Loss 2.1485 (2.2923) Prec@1 50.391 (47.528) Prec@5 74.219 (72.909)
Epoch: [106][4780/5005] Time 0.204 (0.209) Data 0.045 (0.047) Loss 2.3266 (2.2924) Prec@1 45.312 (47.528) Prec@5 71.094 (72.908)
Epoch: [106][4790/5005] Time 0.202 (0.209) Data 0.051 (0.047) Loss 2.4337 (2.2924) Prec@1 46.875 (47.529) Prec@5 71.484 (72.909)
Epoch: [106][4800/5005] Time 0.195 (0.209) Data 0.049 (0.047) Loss 2.4887 (2.2923) Prec@1 41.016 (47.529) Prec@5 69.922 (72.911)
Epoch: [106][4810/5005] Time 0.202 (0.209) Data 0.046 (0.047) Loss 2.3790 (2.2922) Prec@1 44.531 (47.529) Prec@5 71.875 (72.912)
Epoch: [106][4820/5005] Time 0.210 (0.209) Data 0.043 (0.047) Loss 2.4043 (2.2921) Prec@1 46.484 (47.533) Prec@5 67.578 (72.912)
Epoch: [106][4830/5005] Time 0.207 (0.209) Data 0.045 (0.047) Loss 2.2855 (2.2920) Prec@1 48.047 (47.536) Prec@5 71.875 (72.914)
Epoch: [106][4840/5005] Time 0.208 (0.209) Data 0.045 (0.047) Loss 2.1203 (2.2920) Prec@1 49.609 (47.536) Prec@5 75.781 (72.912)
Epoch: [106][4850/5005] Time 0.210 (0.209) Data 0.049 (0.047) Loss 2.4530 (2.2921) Prec@1 43.359 (47.533) Prec@5 70.312 (72.909)
Epoch: [106][4860/5005] Time 0.199 (0.209) Data 0.062 (0.047) Loss 2.2497 (2.2920) Prec@1 45.312 (47.534) Prec@5 74.609 (72.909)
Epoch: [106][4870/5005] Time 0.201 (0.209) Data 0.044 (0.047) Loss 2.2597 (2.2920) Prec@1 51.562 (47.538) Prec@5 71.094 (72.908)
Epoch: [106][4880/5005] Time 0.204 (0.209) Data 0.041 (0.047) Loss 2.1919 (2.2919) Prec@1 48.828 (47.540) Prec@5 74.609 (72.909)
Epoch: [106][4890/5005] Time 0.208 (0.209) Data 0.041 (0.047) Loss 2.3791 (2.2919) Prec@1 50.000 (47.540) Prec@5 68.750 (72.910)
Epoch: [106][4900/5005] Time 0.208 (0.209) Data 0.043 (0.047) Loss 2.1717 (2.2918) Prec@1 50.000 (47.542) Prec@5 73.047 (72.910)
Epoch: [106][4910/5005] Time 0.209 (0.209) Data 0.060 (0.047) Loss 2.2669 (2.2917) Prec@1 53.125 (47.545) Prec@5 72.656 (72.913)
Epoch: [106][4920/5005] Time 0.214 (0.209) Data 0.043 (0.047) Loss 2.2236 (2.2916) Prec@1 49.219 (47.544) Prec@5 72.266 (72.913)
Epoch: [106][4930/5005] Time 0.200 (0.209) Data 0.045 (0.047) Loss 2.4752 (2.2917) Prec@1 43.750 (47.542) Prec@5 70.703 (72.913)
Epoch: [106][4940/5005] Time 0.210 (0.209) Data 0.046 (0.047) Loss 2.2648 (2.2917) Prec@1 48.047 (47.542) Prec@5 72.266 (72.912)
Epoch: [106][4950/5005] Time 0.193 (0.209) Data 0.054 (0.047) Loss 1.9488 (2.2917) Prec@1 53.125 (47.540) Prec@5 76.562 (72.911)
Epoch: [106][4960/5005] Time 0.214 (0.209) Data 0.045 (0.047) Loss 2.3911 (2.2917) Prec@1 46.094 (47.539) Prec@5 74.219 (72.911)
Epoch: [106][4970/5005] Time 0.203 (0.209) Data 0.043 (0.047) Loss 2.3587 (2.2917) Prec@1 45.312 (47.539) Prec@5 72.656 (72.910)
Epoch: [106][4980/5005] Time 0.205 (0.209) Data 0.057 (0.047) Loss 2.3316 (2.2916) Prec@1 50.391 (47.541) Prec@5 70.703 (72.912)
Epoch: [106][4990/5005] Time 0.206 (0.209) Data 0.029 (0.047) Loss 2.3796 (2.2915) Prec@1 44.922 (47.544) Prec@5 69.141 (72.912)
Epoch: [106][5000/5005] Time 0.205 (0.209) Data 0.021 (0.047) Loss 2.3903 (2.2916) Prec@1 44.531 (47.542) Prec@5 71.094 (72.911)
Test: [0/196] Time 1.462 (1.462) Loss 2.3711 (2.3711) Prec@1 50.000 (50.000) Prec@5 69.922 (69.922)
Test: [10/196] Time 0.045 (0.318) Loss 2.4438 (2.5378) Prec@1 47.266 (44.531) Prec@5 72.656 (68.999)
Test: [20/196] Time 0.382 (0.240) Loss 2.4091 (2.5406) Prec@1 47.656 (44.215) Prec@5 71.484 (69.475)
Test: [30/196] Time 0.216 (0.205) Loss 2.4223 (2.5453) Prec@1 44.531 (43.889) Prec@5 71.875 (69.216)
Test: [40/196] Time 0.065 (0.204) Loss 2.3060 (2.5393) Prec@1 51.953 (44.169) Prec@5 74.219 (69.379)
Test: [50/196] Time 0.042 (0.205) Loss 2.6217 (2.5410) Prec@1 47.266 (44.164) Prec@5 69.922 (69.447)
Test: [60/196] Time 0.044 (0.191) Loss 2.4326 (2.5250) Prec@1 46.875 (44.448) Prec@5 69.141 (69.653)
Test: [70/196] Time 0.228 (0.191) Loss 2.4751 (2.5188) Prec@1 46.484 (44.691) Prec@5 69.531 (69.652)
Test: [80/196] Time 0.170 (0.192) Loss 2.3567 (2.5250) Prec@1 54.297 (44.724) Prec@5 75.391 (69.633)
Test: [90/196] Time 0.044 (0.192) Loss 2.6595 (2.5287) Prec@1 45.312 (44.690) Prec@5 67.188 (69.660)
Test: [100/196] Time 0.087 (0.186) Loss 2.5163 (2.5264) Prec@1 44.531 (44.868) Prec@5 69.531 (69.686)
Test: [110/196] Time 0.125 (0.183) Loss 2.6981 (2.5277) Prec@1 40.234 (44.883) Prec@5 68.750 (69.676)
Test: [120/196] Time 0.044 (0.185) Loss 2.3388 (2.5256) Prec@1 47.266 (44.941) Prec@5 73.047 (69.722)
Test: [130/196] Time 0.047 (0.185) Loss 2.2138 (2.5208) Prec@1 50.391 (45.002) Prec@5 74.219 (69.812)
Test: [140/196] Time 0.043 (0.182) Loss 2.3213 (2.5229) Prec@1 48.438 (44.916) Prec@5 69.531 (69.742)
Test: [150/196] Time 0.419 (0.182) Loss 2.1534 (2.5221) Prec@1 47.656 (44.855) Prec@5 78.906 (69.800)
Test: [160/196] Time 0.042 (0.183) Loss 2.4560 (2.5204) Prec@1 48.828 (44.881) Prec@5 69.141 (69.839)
Test: [170/196] Time 0.043 (0.180) Loss 2.4047 (2.5228) Prec@1 44.922 (44.862) Prec@5 74.609 (69.833)
Test: [180/196] Time 0.053 (0.181) Loss 2.7227 (2.5277) Prec@1 39.453 (44.751) Prec@5 64.453 (69.710)
Test: [190/196] Time 0.195 (0.180) Loss 2.6929 (2.5309) Prec@1 46.094 (44.717) Prec@5 66.406 (69.582)
* Prec@1 44.688 Prec@5 69.602
Learning rate: 1e-07
Epoch: [107][0/5005] Time 1.384 (1.384) Data 1.267 (1.267) Loss 2.2588 (2.2588) Prec@1 50.781 (50.781) Prec@5 72.266 (72.266)
Epoch: [107][10/5005] Time 0.206 (0.309) Data 0.044 (0.162) Loss 2.2719 (2.2841) Prec@1 47.656 (46.129) Prec@5 73.438 (72.905)
Epoch: [107][20/5005] Time 0.205 (0.259) Data 0.047 (0.108) Loss 2.4290 (2.3199) Prec@1 43.359 (45.685) Prec@5 72.656 (72.452)
Epoch: [107][30/5005] Time 0.205 (0.241) Data 0.045 (0.089) Loss 2.2190 (2.2958) Prec@1 47.656 (46.497) Prec@5 74.609 (72.631)
Epoch: [107][40/5005] Time 0.198 (0.231) Data 0.048 (0.080) Loss 2.3110 (2.3027) Prec@1 44.531 (46.484) Prec@5 71.875 (72.647)
Epoch: [107][50/5005] Time 0.195 (0.225) Data 0.042 (0.074) Loss 2.0690 (2.2984) Prec@1 53.516 (46.630) Prec@5 80.469 (72.779)
Epoch: [107][60/5005] Time 0.205 (0.222) Data 0.043 (0.069) Loss 2.2227 (2.2988) Prec@1 46.875 (46.747) Prec@5 75.391 (72.695)
Epoch: [107][70/5005] Time 0.214 (0.220) Data 0.043 (0.066) Loss 2.3397 (2.3077) Prec@1 46.484 (46.583) Prec@5 72.266 (72.590)
Epoch: [107][80/5005] Time 0.201 (0.217) Data 0.041 (0.063) Loss 2.1732 (2.2991) Prec@1 47.656 (46.726) Prec@5 75.000 (72.782)
Epoch: [107][90/5005] Time 0.208 (0.216) Data 0.046 (0.062) Loss 2.4268 (2.3020) Prec@1 46.875 (46.725) Prec@5 71.484 (72.729)
Epoch: [107][100/5005] Time 0.208 (0.214) Data 0.049 (0.060) Loss 2.1533 (2.3015) Prec@1 46.484 (46.840) Prec@5 75.000 (72.765)
Epoch: [107][110/5005] Time 0.200 (0.213) Data 0.064 (0.059) Loss 2.3303 (2.3008) Prec@1 47.266 (47.076) Prec@5 73.828 (72.790)
Epoch: [107][120/5005] Time 0.198 (0.212) Data 0.054 (0.059) Loss 2.3302 (2.3026) Prec@1 45.312 (47.133) Prec@5 71.094 (72.814)
Epoch: [107][130/5005] Time 0.192 (0.211) Data 0.048 (0.058) Loss 2.4693 (2.3009) Prec@1 46.484 (47.185) Prec@5 70.312 (72.865)
Epoch: [107][140/5005] Time 0.199 (0.210) Data 0.058 (0.058) Loss 2.3155 (2.3008) Prec@1 45.703 (47.174) Prec@5 69.531 (72.803)
Epoch: [107][150/5005] Time 0.214 (0.210) Data 0.053 (0.058) Loss 2.3517 (2.3016) Prec@1 45.312 (47.167) Prec@5 70.703 (72.767)
Epoch: [107][160/5005] Time 0.210 (0.210) Data 0.043 (0.057) Loss 2.1769 (2.3032) Prec@1 50.391 (47.181) Prec@5 74.609 (72.780)
Epoch: [107][170/5005] Time 0.207 (0.210) Data 0.046 (0.056) Loss 2.4657 (2.3046) Prec@1 45.312 (47.131) Prec@5 67.969 (72.741)
Epoch: [107][180/5005] Time 0.222 (0.210) Data 0.049 (0.056) Loss 2.5070 (2.3037) Prec@1 47.656 (47.188) Prec@5 70.312 (72.786)
Epoch: [107][190/5005] Time 0.225 (0.211) Data 0.043 (0.056) Loss 2.4712 (2.3093) Prec@1 45.312 (47.098) Prec@5 70.703 (72.718)
Epoch: [107][200/5005] Time 0.223 (0.211) Data 0.042 (0.055) Loss 2.5195 (2.3121) Prec@1 46.094 (47.077) Prec@5 68.359 (72.678)
Epoch: [107][210/5005] Time 0.223 (0.212) Data 0.043 (0.055) Loss 2.1271 (2.3118) Prec@1 51.562 (47.068) Prec@5 73.828 (72.662)
Epoch: [107][220/5005] Time 0.218 (0.212) Data 0.048 (0.055) Loss 2.3110 (2.3107) Prec@1 46.094 (47.050) Prec@5 71.875 (72.669)
Epoch: [107][230/5005] Time 0.205 (0.212) Data 0.048 (0.055) Loss 2.4299 (2.3107) Prec@1 44.141 (47.103) Prec@5 74.609 (72.668)
Epoch: [107][240/5005] Time 0.224 (0.212) Data 0.046 (0.054) Loss 2.2812 (2.3103) Prec@1 48.047 (47.092) Prec@5 71.875 (72.685)
Epoch: [107][250/5005] Time 0.208 (0.212) Data 0.045 (0.054) Loss 2.3817 (2.3088) Prec@1 47.266 (47.116) Prec@5 71.875 (72.723)
Epoch: [107][260/5005] Time 0.223 (0.212) Data 0.043 (0.054) Loss 2.0479 (2.3071) Prec@1 51.562 (47.140) Prec@5 76.172 (72.745)
Epoch: [107][270/5005] Time 0.210 (0.213) Data 0.042 (0.054) Loss 2.2333 (2.3065) Prec@1 52.344 (47.147) Prec@5 74.609 (72.756)
Epoch: [107][280/5005] Time 0.212 (0.213) Data 0.051 (0.053) Loss 2.7357 (2.3096) Prec@1 40.234 (47.084) Prec@5 65.625 (72.701)
Epoch: [107][290/5005] Time 0.204 (0.213) Data 0.044 (0.053) Loss 2.2125 (2.3106) Prec@1 47.266 (47.043) Prec@5 72.266 (72.671)
Epoch: [107][300/5005] Time 0.220 (0.213) Data 0.043 (0.053) Loss 2.1293 (2.3109) Prec@1 51.172 (47.081) Prec@5 73.828 (72.678)
Epoch: [107][310/5005] Time 0.214 (0.213) Data 0.046 (0.053) Loss 2.2266 (2.3083) Prec@1 49.219 (47.139) Prec@5 74.219 (72.718)
Epoch: [107][320/5005] Time 0.205 (0.213) Data 0.052 (0.052) Loss 2.5387 (2.3098) Prec@1 42.188 (47.126) Prec@5 69.922 (72.706)
Epoch: [107][330/5005] Time 0.210 (0.213) Data 0.045 (0.052) Loss 2.0480 (2.3089) Prec@1 51.953 (47.123) Prec@5 76.172 (72.724)
Epoch: [107][340/5005] Time 0.216 (0.213) Data 0.042 (0.052) Loss 2.3994 (2.3118) Prec@1 45.312 (47.088) Prec@5 72.266 (72.676)
Epoch: [107][350/5005] Time 0.199 (0.213) Data 0.063 (0.052) Loss 2.5595 (2.3108) Prec@1 44.922 (47.091) Prec@5 67.969 (72.709)
Epoch: [107][360/5005] Time 0.210 (0.213) Data 0.051 (0.052) Loss 2.2758 (2.3115) Prec@1 47.656 (47.060) Prec@5 73.828 (72.689)
Epoch: [107][370/5005] Time 0.220 (0.213) Data 0.041 (0.052) Loss 2.4200 (2.3109) Prec@1 45.312 (47.066) Prec@5 71.094 (72.687)
Epoch: [107][380/5005] Time 0.212 (0.213) Data 0.041 (0.052) Loss 2.5653 (2.3117) Prec@1 42.969 (47.054) Prec@5 70.703 (72.676)
Epoch: [107][390/5005] Time 0.212 (0.213) Data 0.043 (0.051) Loss 2.2230 (2.3113) Prec@1 51.953 (47.065) Prec@5 74.609 (72.690)
Epoch: [107][400/5005] Time 0.219 (0.213) Data 0.053 (0.051) Loss 2.2138 (2.3109) Prec@1 46.094 (47.045) Prec@5 75.000 (72.690)
Epoch: [107][410/5005] Time 0.218 (0.213) Data 0.051 (0.051) Loss 2.1371 (2.3100) Prec@1 46.094 (47.051) Prec@5 75.781 (72.696)
Epoch: [107][420/5005] Time 0.207 (0.213) Data 0.044 (0.051) Loss 2.2736 (2.3098) Prec@1 47.656 (47.088) Prec@5 71.094 (72.711)
Epoch: [107][430/5005] Time 0.210 (0.213) Data 0.041 (0.051) Loss 2.2096 (2.3101) Prec@1 50.391 (47.085) Prec@5 73.828 (72.711)
Epoch: [107][440/5005] Time 0.221 (0.213) Data 0.043 (0.051) Loss 2.2340 (2.3095) Prec@1 52.344 (47.082) Prec@5 74.609 (72.732)
Epoch: [107][450/5005] Time 0.214 (0.213) Data 0.044 (0.051) Loss 2.2452 (2.3103) Prec@1 44.922 (47.058) Prec@5 72.656 (72.700)
Epoch: [107][460/5005] Time 0.213 (0.213) Data 0.043 (0.051) Loss 2.4241 (2.3112) Prec@1 46.094 (47.024) Prec@5 67.969 (72.682)
Epoch: [107][470/5005] Time 0.216 (0.213) Data 0.044 (0.051) Loss 2.2938 (2.3123) Prec@1 45.703 (47.018) Prec@5 71.094 (72.640)
Epoch: [107][480/5005] Time 0.217 (0.213) Data 0.043 (0.050) Loss 2.4018 (2.3121) Prec@1 45.703 (47.007) Prec@5 69.531 (72.636)
Epoch: [107][490/5005] Time 0.212 (0.213) Data 0.042 (0.050) Loss 2.3266 (2.3120) Prec@1 49.219 (47.013) Prec@5 75.781 (72.645)
Epoch: [107][500/5005] Time 0.205 (0.213) Data 0.043 (0.050) Loss 2.3695 (2.3142) Prec@1 47.266 (47.000) Prec@5 71.094 (72.606)
Epoch: [107][510/5005] Time 0.224 (0.213) Data 0.044 (0.050) Loss 2.4755 (2.3146) Prec@1 44.531 (46.997) Prec@5 69.922 (72.595)
Epoch: [107][520/5005] Time 0.204 (0.213) Data 0.056 (0.050) Loss 2.3418 (2.3141) Prec@1 42.578 (46.993) Prec@5 71.875 (72.612)
Epoch: [107][530/5005] Time 0.210 (0.213) Data 0.045 (0.050) Loss 2.1640 (2.3141) Prec@1 50.000 (46.985) Prec@5 73.047 (72.614)
Epoch: [107][540/5005] Time 0.211 (0.213) Data 0.044 (0.050) Loss 2.3700 (2.3149) Prec@1 45.312 (46.982) Prec@5 72.266 (72.596)
Epoch: [107][550/5005] Time 0.211 (0.213) Data 0.063 (0.050) Loss 2.2719 (2.3143) Prec@1 48.047 (46.983) Prec@5 72.656 (72.593)
Epoch: [107][560/5005] Time 0.217 (0.213) Data 0.046 (0.050) Loss 2.4596 (2.3140) Prec@1 47.656 (46.989) Prec@5 71.484 (72.602)
Epoch: [107][570/5005] Time 0.205 (0.213) Data 0.044 (0.050) Loss 2.4481 (2.3145) Prec@1 44.922 (46.984) Prec@5 69.141 (72.593)
Epoch: [107][580/5005] Time 0.214 (0.213) Data 0.046 (0.050) Loss 2.3849 (2.3146) Prec@1 47.656 (46.991) Prec@5 71.875 (72.580)
Epoch: [107][590/5005] Time 0.204 (0.213) Data 0.050 (0.050) Loss 2.4627 (2.3149) Prec@1 42.188 (46.990) Prec@5 71.094 (72.569)
Epoch: [107][600/5005] Time 0.218 (0.213) Data 0.048 (0.050) Loss 2.3362 (2.3165) Prec@1 46.484 (46.953) Prec@5 76.172 (72.561)
Epoch: [107][610/5005] Time 0.206 (0.213) Data 0.050 (0.050) Loss 2.3605 (2.3168) Prec@1 47.266 (46.965) Prec@5 72.266 (72.560)
Epoch: [107][620/5005] Time 0.211 (0.213) Data 0.042 (0.050) Loss 2.3754 (2.3163) Prec@1 46.094 (46.988) Prec@5 71.484 (72.583)
Epoch: [107][630/5005] Time 0.217 (0.213) Data 0.045 (0.050) Loss 2.5734 (2.3161) Prec@1 43.750 (47.003) Prec@5 69.141 (72.575)
Epoch: [107][640/5005] Time 0.215 (0.213) Data 0.042 (0.050) Loss 2.2169 (2.3166) Prec@1 52.734 (46.995) Prec@5 72.656 (72.561)
Epoch: [107][650/5005] Time 0.210 (0.213) Data 0.046 (0.050) Loss 2.5117 (2.3178) Prec@1 42.578 (46.979) Prec@5 68.359 (72.548)
Epoch: [107][660/5005] Time 0.214 (0.213) Data 0.042 (0.050) Loss 2.3854 (2.3169) Prec@1 43.750 (46.991) Prec@5 71.484 (72.561)
Epoch: [107][670/5005] Time 0.214 (0.213) Data 0.046 (0.050) Loss 2.5807 (2.3169) Prec@1 43.750 (46.998) Prec@5 69.922 (72.556)
Epoch: [107][680/5005] Time 0.202 (0.213) Data 0.044 (0.050) Loss 2.3906 (2.3169) Prec@1 48.047 (46.995) Prec@5 75.781 (72.559)
Epoch: [107][690/5005] Time 0.214 (0.213) Data 0.044 (0.049) Loss 2.1529 (2.3159) Prec@1 46.875 (47.016) Prec@5 78.906 (72.587)
Epoch: [107][700/5005] Time 0.212 (0.213) Data 0.049 (0.049) Loss 2.3209 (2.3156) Prec@1 48.438 (47.019) Prec@5 69.922 (72.590)
Epoch: [107][710/5005] Time 0.211 (0.213) Data 0.040 (0.049) Loss 2.0011 (2.3148) Prec@1 51.172 (47.049) Prec@5 75.000 (72.601)
Epoch: [107][720/5005] Time 0.220 (0.213) Data 0.041 (0.049) Loss 2.3517 (2.3141) Prec@1 45.312 (47.056) Prec@5 72.266 (72.610)
Epoch: [107][730/5005] Time 0.201 (0.212) Data 0.042 (0.049) Loss 2.5273 (2.3148) Prec@1 42.578 (47.048) Prec@5 68.359 (72.597)
Epoch: [107][740/5005] Time 0.210 (0.212) Data 0.046 (0.049) Loss 2.4554 (2.3151) Prec@1 47.266 (47.056) Prec@5 70.703 (72.577)
Epoch: [107][750/5005] Time 0.208 (0.212) Data 0.049 (0.049) Loss 2.0621 (2.3152) Prec@1 53.125 (47.053) Prec@5 76.953 (72.571)
Epoch: [107][760/5005] Time 0.203 (0.212) Data 0.060 (0.049) Loss 2.4573 (2.3158) Prec@1 43.359 (47.038) Prec@5 71.094 (72.573)
Epoch: [107][770/5005] Time 0.213 (0.212) Data 0.039 (0.049) Loss 2.2913 (2.3144) Prec@1 49.609 (47.071) Prec@5 69.922 (72.591)
Epoch: [107][780/5005] Time 0.208 (0.212) Data 0.046 (0.049) Loss 2.3046 (2.3140) Prec@1 46.094 (47.073) Prec@5 73.438 (72.598)
Epoch: [107][790/5005] Time 0.214 (0.212) Data 0.042 (0.049) Loss 2.2403 (2.3138) Prec@1 46.875 (47.071) Prec@5 75.000 (72.605)
Epoch: [107][800/5005] Time 0.213 (0.212) Data 0.043 (0.049) Loss 2.0925 (2.3128) Prec@1 51.562 (47.093) Prec@5 78.516 (72.627)
Epoch: [107][810/5005] Time 0.211 (0.212) Data 0.049 (0.049) Loss 2.3965 (2.3130) Prec@1 46.094 (47.105) Prec@5 70.312 (72.630)
Epoch: [107][820/5005] Time 0.207 (0.212) Data 0.042 (0.049) Loss 2.2913 (2.3130) Prec@1 46.875 (47.111) Prec@5 72.656 (72.638)
Epoch: [107][830/5005] Time 0.205 (0.212) Data 0.044 (0.049) Loss 2.3809 (2.3131) Prec@1 49.609 (47.114) Prec@5 71.484 (72.641)
Epoch: [107][840/5005] Time 0.219 (0.212) Data 0.048 (0.049) Loss 2.2774 (2.3130) Prec@1 49.219 (47.116) Prec@5 72.266 (72.653)
Epoch: [107][850/5005] Time 0.209 (0.212) Data 0.043 (0.049) Loss 2.4341 (2.3128) Prec@1 42.188 (47.107) Prec@5 71.875 (72.649)
Epoch: [107][860/5005] Time 0.208 (0.212) Data 0.043 (0.049) Loss 2.4066 (2.3132) Prec@1 44.141 (47.105) Prec@5 70.703 (72.639)
Epoch: [107][870/5005] Time 0.214 (0.212) Data 0.044 (0.049) Loss 2.3099 (2.3122) Prec@1 47.266 (47.131) Prec@5 75.000 (72.654)
Epoch: [107][880/5005] Time 0.212 (0.212) Data 0.042 (0.049) Loss 2.2967 (2.3128) Prec@1 49.219 (47.141) Prec@5 70.312 (72.647)
Epoch: [107][890/5005] Time 0.208 (0.212) Data 0.048 (0.049) Loss 2.5655 (2.3124) Prec@1 42.578 (47.142) Prec@5 67.188 (72.638)
Epoch: [107][900/5005] Time 0.203 (0.212) Data 0.057 (0.049) Loss 2.1817 (2.3118) Prec@1 46.875 (47.147) Prec@5 76.172 (72.649)
Epoch: [107][910/5005] Time 0.209 (0.212) Data 0.041 (0.049) Loss 2.1893 (2.3119) Prec@1 48.047 (47.144) Prec@5 73.828 (72.645)
Epoch: [107][920/5005] Time 0.211 (0.212) Data 0.049 (0.049) Loss 2.3794 (2.3114) Prec@1 45.312 (47.163) Prec@5 70.703 (72.650)
Epoch: [107][930/5005] Time 0.217 (0.212) Data 0.043 (0.049) Loss 2.3960 (2.3107) Prec@1 46.484 (47.173) Prec@5 69.141 (72.653)
Epoch: [107][940/5005] Time 0.214 (0.212) Data 0.043 (0.049) Loss 2.1411 (2.3109) Prec@1 48.828 (47.169) Prec@5 75.781 (72.662)
Epoch: [107][950/5005] Time 0.215 (0.212) Data 0.044 (0.049) Loss 2.3812 (2.3119) Prec@1 44.922 (47.157) Prec@5 76.172 (72.651)
Epoch: [107][960/5005] Time 0.212 (0.212) Data 0.043 (0.049) Loss 2.5434 (2.3121) Prec@1 43.359 (47.147) Prec@5 68.359 (72.647)
Epoch: [107][970/5005] Time 0.213 (0.212) Data 0.041 (0.049) Loss 2.1984 (2.3121) Prec@1 46.484 (47.145) Prec@5 73.438 (72.639)
Epoch: [107][980/5005] Time 0.213 (0.212) Data 0.042 (0.049) Loss 2.1803 (2.3112) Prec@1 48.047 (47.160) Prec@5 74.609 (72.651)
Epoch: [107][990/5005] Time 0.215 (0.212) Data 0.043 (0.049) Loss 2.3666 (2.3119) Prec@1 46.484 (47.142) Prec@5 73.047 (72.647)
Epoch: [107][1000/5005] Time 0.209 (0.212) Data 0.043 (0.048) Loss 2.2889 (2.3116) Prec@1 48.438 (47.139) Prec@5 73.047 (72.647)
Epoch: [107][1010/5005] Time 0.216 (0.212) Data 0.044 (0.048) Loss 2.3048 (2.3109) Prec@1 46.484 (47.150) Prec@5 76.172 (72.659)
Epoch: [107][1020/5005] Time 0.205 (0.213) Data 0.050 (0.048) Loss 2.0916 (2.3115) Prec@1 49.219 (47.138) Prec@5 75.781 (72.640)
Epoch: [107][1030/5005] Time 0.190 (0.213) Data 0.046 (0.048) Loss 2.2429 (2.3112) Prec@1 45.703 (47.132) Prec@5 75.781 (72.644)
Epoch: [107][1040/5005] Time 0.216 (0.213) Data 0.046 (0.048) Loss 2.4440 (2.3112) Prec@1 45.703 (47.129) Prec@5 71.875 (72.634)
Epoch: [107][1050/5005] Time 0.198 (0.213) Data 0.051 (0.048) Loss 2.4799 (2.3112) Prec@1 44.531 (47.124) Prec@5 67.578 (72.637)
Epoch: [107][1060/5005] Time 0.205 (0.213) Data 0.044 (0.048) Loss 2.3627 (2.3112) Prec@1 46.484 (47.124) Prec@5 73.438 (72.635)
Epoch: [107][1070/5005] Time 0.208 (0.213) Data 0.048 (0.049) Loss 2.3992 (2.3113) Prec@1 46.484 (47.127) Prec@5 69.922 (72.635)
Epoch: [107][1080/5005] Time 0.210 (0.213) Data 0.041 (0.048) Loss 2.3523 (2.3114) Prec@1 44.531 (47.123) Prec@5 70.703 (72.626)
Epoch: [107][1090/5005] Time 0.220 (0.213) Data 0.046 (0.048) Loss 2.2514 (2.3112) Prec@1 48.047 (47.119) Prec@5 73.047 (72.630)
Epoch: [107][1100/5005] Time 0.214 (0.213) Data 0.045 (0.048) Loss 2.2787 (2.3106) Prec@1 48.438 (47.132) Prec@5 74.219 (72.645)
Epoch: [107][1110/5005] Time 0.203 (0.213) Data 0.048 (0.048) Loss 2.3532 (2.3109) Prec@1 44.531 (47.127) Prec@5 69.922 (72.639)
Epoch: [107][1120/5005] Time 0.206 (0.213) Data 0.052 (0.048) Loss 2.1580 (2.3098) Prec@1 50.000 (47.143) Prec@5 72.266 (72.657)
Epoch: [107][1130/5005] Time 0.211 (0.213) Data 0.051 (0.048) Loss 2.3858 (2.3100) Prec@1 44.922 (47.134) Prec@5 72.266 (72.651)
Epoch: [107][1140/5005] Time 0.217 (0.213) Data 0.048 (0.048) Loss 2.2296 (2.3092) Prec@1 50.781 (47.152) Prec@5 75.000 (72.662)
Epoch: [107][1150/5005] Time 0.202 (0.213) Data 0.040 (0.048) Loss 2.2026 (2.3089) Prec@1 47.266 (47.156) Prec@5 74.609 (72.662)
Epoch: [107][1160/5005] Time 0.210 (0.213) Data 0.041 (0.048) Loss 2.3273 (2.3088) Prec@1 45.703 (47.159) Prec@5 74.219 (72.665)
Epoch: [107][1170/5005] Time 0.210 (0.213) Data 0.044 (0.048) Loss 2.2877 (2.3088) Prec@1 46.094 (47.157) Prec@5 71.094 (72.660)
Epoch: [107][1180/5005] Time 0.209 (0.213) Data 0.049 (0.048) Loss 2.4678 (2.3089) Prec@1 42.969 (47.152) Prec@5 69.531 (72.656)
Epoch: [107][1190/5005] Time 0.210 (0.213) Data 0.043 (0.048) Loss 2.1968 (2.3085) Prec@1 48.828 (47.160) Prec@5 71.875 (72.658)
Epoch: [107][1200/5005] Time 0.204 (0.213) Data 0.051 (0.048) Loss 2.6336 (2.3090) Prec@1 43.750 (47.155) Prec@5 64.062 (72.653)
Epoch: [107][1210/5005] Time 0.203 (0.213) Data 0.046 (0.048) Loss 2.2972 (2.3094) Prec@1 46.094 (47.156) Prec@5 72.656 (72.650)
Epoch: [107][1220/5005] Time 0.212 (0.213) Data 0.047 (0.048) Loss 2.2732 (2.3094) Prec@1 46.875 (47.157) Prec@5 72.656 (72.649)
Epoch: [107][1230/5005] Time 0.203 (0.213) Data 0.046 (0.048) Loss 2.3097 (2.3095) Prec@1 46.484 (47.156) Prec@5 72.656 (72.648)
Epoch: [107][1240/5005] Time 0.207 (0.213) Data 0.047 (0.048) Loss 2.3739 (2.3094) Prec@1 46.875 (47.152) Prec@5 71.094 (72.646)
Epoch: [107][1250/5005] Time 0.208 (0.212) Data 0.046 (0.048) Loss 2.5952 (2.3097) Prec@1 39.453 (47.149) Prec@5 67.969 (72.637)
Epoch: [107][1260/5005] Time 0.207 (0.212) Data 0.048 (0.048) Loss 2.0844 (2.3090) Prec@1 50.000 (47.156) Prec@5 72.266 (72.646)
Epoch: [107][1270/5005] Time 0.203 (0.212) Data 0.050 (0.048) Loss 2.3890 (2.3097) Prec@1 45.703 (47.143) Prec@5 71.094 (72.626)
Epoch: [107][1280/5005] Time 0.211 (0.212) Data 0.044 (0.048) Loss 2.3309 (2.3100) Prec@1 50.000 (47.140) Prec@5 72.266 (72.625)
Epoch: [107][1290/5005] Time 0.211 (0.212) Data 0.041 (0.048) Loss 2.1422 (2.3099) Prec@1 52.344 (47.149) Prec@5 73.828 (72.618)
Epoch: [107][1300/5005] Time 0.209 (0.212) Data 0.046 (0.048) Loss 2.1269 (2.3097) Prec@1 50.000 (47.155) Prec@5 75.391 (72.623)
Epoch: [107][1310/5005] Time 0.214 (0.212) Data 0.049 (0.048) Loss 2.2959 (2.3096) Prec@1 45.312 (47.150) Prec@5 73.047 (72.627)
Epoch: [107][1320/5005] Time 0.211 (0.212) Data 0.045 (0.048) Loss 2.3924 (2.3093) Prec@1 45.312 (47.156) Prec@5 71.094 (72.631)
Epoch: [107][1330/5005] Time 0.215 (0.212) Data 0.056 (0.048) Loss 2.4136 (2.3093) Prec@1 44.922 (47.163) Prec@5 71.094 (72.629)
Epoch: [107][1340/5005] Time 0.219 (0.212) Data 0.044 (0.048) Loss 2.2416 (2.3092) Prec@1 47.656 (47.163) Prec@5 73.438 (72.630)
Epoch: [107][1350/5005] Time 0.215 (0.212) Data 0.042 (0.048) Loss 2.5380 (2.3094) Prec@1 44.922 (47.163) Prec@5 71.484 (72.637)
Epoch: [107][1360/5005] Time 0.198 (0.212) Data 0.043 (0.048) Loss 2.1547 (2.3091) Prec@1 49.609 (47.173) Prec@5 75.000 (72.644)
Epoch: [107][1370/5005] Time 0.199 (0.212) Data 0.045 (0.048) Loss 2.3261 (2.3086) Prec@1 48.828 (47.188) Prec@5 73.438 (72.653)
Epoch: [107][1380/5005] Time 0.201 (0.212) Data 0.044 (0.048) Loss 2.3356 (2.3084) Prec@1 50.391 (47.197) Prec@5 74.609 (72.657)
Epoch: [107][1390/5005] Time 0.202 (0.212) Data 0.055 (0.048) Loss 2.3120 (2.3085) Prec@1 45.703 (47.201) Prec@5 73.438 (72.650)
Epoch: [107][1400/5005] Time 0.207 (0.212) Data 0.057 (0.048) Loss 2.3391 (2.3077) Prec@1 43.750 (47.214) Prec@5 72.656 (72.657)
Epoch: [107][1410/5005] Time 0.200 (0.212) Data 0.059 (0.048) Loss 2.3106 (2.3075) Prec@1 48.438 (47.222) Prec@5 74.219 (72.660)
Epoch: [107][1420/5005] Time 0.209 (0.212) Data 0.044 (0.048) Loss 2.5088 (2.3076) Prec@1 46.484 (47.224) Prec@5 70.703 (72.659)
Epoch: [107][1430/5005] Time 0.208 (0.212) Data 0.044 (0.048) Loss 2.0384 (2.3072) Prec@1 53.125 (47.236) Prec@5 76.172 (72.662)
Epoch: [107][1440/5005] Time 0.208 (0.212) Data 0.046 (0.048) Loss 2.1311 (2.3070) Prec@1 50.000 (47.236) Prec@5 75.781 (72.661)
Epoch: [107][1450/5005] Time 0.210 (0.212) Data 0.045 (0.048) Loss 2.2716 (2.3068) Prec@1 52.734 (47.235) Prec@5 72.266 (72.664)
Epoch: [107][1460/5005] Time 0.213 (0.212) Data 0.043 (0.048) Loss 2.2886 (2.3065) Prec@1 45.312 (47.231) Prec@5 70.703 (72.666)
Epoch: [107][1470/5005] Time 0.212 (0.212) Data 0.043 (0.048) Loss 2.4328 (2.3071) Prec@1 46.094 (47.218) Prec@5 71.484 (72.659)
Epoch: [107][1480/5005] Time 0.207 (0.212) Data 0.042 (0.048) Loss 2.0054 (2.3070) Prec@1 53.516 (47.223) Prec@5 78.516 (72.657)
Epoch: [107][1490/5005] Time 0.214 (0.212) Data 0.042 (0.048) Loss 2.4615 (2.3069) Prec@1 47.266 (47.228) Prec@5 70.703 (72.658)
Epoch: [107][1500/5005] Time 0.209 (0.212) Data 0.045 (0.048) Loss 2.3144 (2.3066) Prec@1 48.438 (47.232) Prec@5 72.266 (72.670)
Epoch: [107][1510/5005] Time 0.194 (0.212) Data 0.063 (0.048) Loss 2.1016 (2.3063) Prec@1 50.781 (47.243) Prec@5 73.047 (72.669)
Epoch: [107][1520/5005] Time 0.208 (0.212) Data 0.050 (0.048) Loss 2.4755 (2.3062) Prec@1 45.312 (47.244) Prec@5 68.750 (72.673)
Epoch: [107][1530/5005] Time 0.206 (0.212) Data 0.045 (0.048) Loss 2.6203 (2.3064) Prec@1 42.188 (47.245) Prec@5 66.016 (72.666)
Epoch: [107][1540/5005] Time 0.200 (0.212) Data 0.051 (0.048) Loss 2.4038 (2.3066) Prec@1 45.312 (47.240) Prec@5 69.141 (72.663)
Epoch: [107][1550/5005] Time 0.214 (0.212) Data 0.041 (0.048) Loss 2.2888 (2.3067) Prec@1 49.219 (47.243) Prec@5 75.391 (72.662)
Epoch: [107][1560/5005] Time 0.215 (0.212) Data 0.051 (0.048) Loss 2.1443 (2.3067) Prec@1 50.391 (47.240) Prec@5 76.562 (72.665)
Epoch: [107][1570/5005] Time 0.198 (0.212) Data 0.063 (0.048) Loss 2.1309 (2.3063) Prec@1 49.609 (47.243) Prec@5 78.516 (72.675)
Epoch: [107][1580/5005] Time 0.208 (0.212) Data 0.049 (0.048) Loss 2.0711 (2.3064) Prec@1 50.000 (47.241) Prec@5 76.953 (72.672)
Epoch: [107][1590/5005] Time 0.214 (0.212) Data 0.043 (0.048) Loss 2.2498 (2.3062) Prec@1 48.828 (47.246) Prec@5 72.656 (72.674)
Epoch: [107][1600/5005] Time 0.208 (0.212) Data 0.042 (0.048) Loss 2.3736 (2.3062) Prec@1 45.703 (47.244) Prec@5 69.531 (72.674)
Epoch: [107][1610/5005] Time 0.214 (0.212) Data 0.047 (0.048) Loss 2.4376 (2.3061) Prec@1 42.188 (47.242) Prec@5 72.656 (72.677)
Epoch: [107][1620/5005] Time 0.211 (0.212) Data 0.043 (0.048) Loss 2.5247 (2.3058) Prec@1 39.844 (47.245) Prec@5 71.094 (72.685)
Epoch: [107][1630/5005] Time 0.206 (0.212) Data 0.057 (0.048) Loss 2.0751 (2.3058) Prec@1 51.953 (47.246) Prec@5 76.172 (72.680)
Epoch: [107][1640/5005] Time 0.206 (0.212) Data 0.058 (0.048) Loss 2.4009 (2.3060) Prec@1 45.312 (47.251) Prec@5 71.875 (72.679)
Epoch: [107][1650/5005] Time 0.200 (0.212) Data 0.048 (0.048) Loss 2.3843 (2.3058) Prec@1 44.531 (47.249) Prec@5 69.141 (72.682)
Epoch: [107][1660/5005] Time 0.209 (0.212) Data 0.053 (0.048) Loss 2.2760 (2.3052) Prec@1 48.828 (47.270) Prec@5 73.047 (72.692)
Epoch: [107][1670/5005] Time 0.209 (0.212) Data 0.055 (0.048) Loss 2.1249 (2.3052) Prec@1 52.734 (47.274) Prec@5 75.391 (72.693)
Epoch: [107][1680/5005] Time 0.206 (0.212) Data 0.044 (0.048) Loss 2.4401 (2.3054) Prec@1 48.047 (47.275) Prec@5 69.922 (72.691)
Epoch: [107][1690/5005] Time 0.213 (0.212) Data 0.043 (0.048) Loss 2.1604 (2.3050) Prec@1 49.609 (47.281) Prec@5 76.172 (72.701)
Epoch: [107][1700/5005] Time 0.208 (0.211) Data 0.045 (0.048) Loss 2.2786 (2.3046) Prec@1 47.656 (47.284) Prec@5 73.047 (72.705)
Epoch: [107][1710/5005] Time 0.210 (0.211) Data 0.042 (0.048) Loss 2.2392 (2.3043) Prec@1 45.312 (47.285) Prec@5 73.438 (72.716)
Epoch: [107][1720/5005] Time 0.210 (0.211) Data 0.040 (0.048) Loss 2.3959 (2.3045) Prec@1 44.531 (47.277) Prec@5 69.531 (72.716)
Epoch: [107][1730/5005] Time 0.206 (0.211) Data 0.057 (0.048) Loss 2.3685 (2.3047) Prec@1 44.922 (47.273) Prec@5 72.656 (72.717)
Epoch: [107][1740/5005] Time 0.201 (0.211) Data 0.051 (0.048) Loss 2.3925 (2.3044) Prec@1 44.141 (47.276) Prec@5 70.312 (72.727)
Epoch: [107][1750/5005] Time 0.204 (0.211) Data 0.064 (0.048) Loss 2.2565 (2.3040) Prec@1 47.266 (47.284) Prec@5 72.656 (72.735)
Epoch: [107][1760/5005] Time 0.204 (0.211) Data 0.042 (0.048) Loss 2.0682 (2.3038) Prec@1 55.469 (47.287) Prec@5 76.953 (72.743)
Epoch: [107][1770/5005] Time 0.208 (0.211) Data 0.044 (0.048) Loss 2.2812 (2.3034) Prec@1 48.828 (47.298) Prec@5 73.047 (72.752)
Epoch: [107][1780/5005] Time 0.215 (0.211) Data 0.061 (0.048) Loss 2.2783 (2.3032) Prec@1 44.531 (47.300) Prec@5 73.828 (72.753)
Epoch: [107][1790/5005] Time 0.217 (0.211) Data 0.043 (0.048) Loss 2.1002 (2.3028) Prec@1 48.828 (47.306) Prec@5 75.391 (72.759)
Epoch: [107][1800/5005] Time 0.207 (0.211) Data 0.043 (0.048) Loss 2.3221 (2.3026) Prec@1 43.750 (47.308) Prec@5 72.656 (72.762)
Epoch: [107][1810/5005] Time 0.204 (0.211) Data 0.059 (0.048) Loss 2.1547 (2.3025) Prec@1 48.047 (47.306) Prec@5 73.438 (72.760)
Epoch: [107][1820/5005] Time 0.212 (0.211) Data 0.044 (0.048) Loss 2.2488 (2.3024) Prec@1 46.484 (47.308) Prec@5 75.781 (72.765)
Epoch: [107][1830/5005] Time 0.204 (0.211) Data 0.052 (0.048) Loss 2.0872 (2.3020) Prec@1 51.172 (47.313) Prec@5 79.297 (72.775)
Epoch: [107][1840/5005] Time 0.227 (0.211) Data 0.044 (0.048) Loss 2.4264 (2.3018) Prec@1 44.531 (47.318) Prec@5 69.531 (72.773)
Epoch: [107][1850/5005] Time 0.211 (0.211) Data 0.051 (0.048) Loss 2.1842 (2.3013) Prec@1 47.266 (47.331) Prec@5 78.906 (72.776)
Epoch: [107][1860/5005] Time 0.198 (0.211) Data 0.045 (0.048) Loss 2.1598 (2.3011) Prec@1 48.828 (47.332) Prec@5 72.656 (72.781)
Epoch: [107][1870/5005] Time 0.208 (0.211) Data 0.050 (0.048) Loss 2.5024 (2.3015) Prec@1 41.406 (47.327) Prec@5 70.703 (72.777)
Epoch: [107][1880/5005] Time 0.209 (0.211) Data 0.048 (0.048) Loss 2.3503 (2.3018) Prec@1 46.094 (47.324) Prec@5 70.312 (72.771)
Epoch: [107][1890/5005] Time 0.213 (0.211) Data 0.045 (0.048) Loss 2.3629 (2.3017) Prec@1 47.266 (47.323) Prec@5 73.047 (72.774)
Epoch: [107][1900/5005] Time 0.201 (0.211) Data 0.046 (0.048) Loss 2.3168 (2.3022) Prec@1 46.484 (47.315) Prec@5 71.484 (72.764)
Epoch: [107][1910/5005] Time 0.210 (0.211) Data 0.048 (0.048) Loss 2.3064 (2.3022) Prec@1 44.141 (47.311) Prec@5 74.219 (72.765)
Epoch: [107][1920/5005] Time 0.211 (0.211) Data 0.043 (0.048) Loss 2.2184 (2.3020) Prec@1 47.656 (47.309) Prec@5 74.609 (72.767)
Epoch: [107][1930/5005] Time 0.207 (0.211) Data 0.045 (0.048) Loss 2.2248 (2.3018) Prec@1 50.391 (47.310) Prec@5 72.266 (72.772)
Epoch: [107][1940/5005] Time 0.202 (0.211) Data 0.059 (0.048) Loss 2.1822 (2.3013) Prec@1 48.828 (47.315) Prec@5 74.219 (72.779)
Epoch: [107][1950/5005] Time 0.200 (0.211) Data 0.058 (0.048) Loss 2.3897 (2.3012) Prec@1 44.531 (47.313) Prec@5 71.094 (72.779)
Epoch: [107][1960/5005] Time 0.200 (0.211) Data 0.054 (0.048) Loss 2.2704 (2.3009) Prec@1 49.219 (47.321) Prec@5 73.438 (72.786)
Epoch: [107][1970/5005] Time 0.208 (0.211) Data 0.049 (0.048) Loss 2.3151 (2.3011) Prec@1 44.531 (47.316) Prec@5 69.531 (72.780)
Epoch: [107][1980/5005] Time 0.205 (0.211) Data 0.047 (0.048) Loss 2.0570 (2.3012) Prec@1 50.391 (47.312) Prec@5 75.781 (72.779)
Epoch: [107][1990/5005] Time 0.215 (0.211) Data 0.047 (0.048) Loss 2.1146 (2.3010) Prec@1 53.516 (47.321) Prec@5 75.781 (72.780)
Epoch: [107][2000/5005] Time 0.211 (0.211) Data 0.044 (0.048) Loss 2.1074 (2.3011) Prec@1 51.953 (47.320) Prec@5 77.344 (72.781)
Epoch: [107][2010/5005] Time 0.215 (0.211) Data 0.043 (0.048) Loss 2.3654 (2.3013) Prec@1 48.438 (47.316) Prec@5 71.094 (72.778)
Epoch: [107][2020/5005] Time 0.211 (0.211) Data 0.041 (0.048) Loss 2.2458 (2.3014) Prec@1 54.297 (47.314) Prec@5 72.266 (72.776)
Epoch: [107][2030/5005] Time 0.213 (0.211) Data 0.044 (0.048) Loss 2.2996 (2.3016) Prec@1 48.047 (47.312) Prec@5 73.438 (72.773)
Epoch: [107][2040/5005] Time 0.196 (0.211) Data 0.047 (0.048) Loss 1.9293 (2.3014) Prec@1 55.078 (47.316) Prec@5 76.172 (72.775)
Epoch: [107][2050/5005] Time 0.214 (0.211) Data 0.045 (0.048) Loss 2.3572 (2.3013) Prec@1 49.219 (47.323) Prec@5 69.922 (72.777)
Epoch: [107][2060/5005] Time 0.212 (0.211) Data 0.044 (0.048) Loss 2.2571 (2.3013) Prec@1 44.531 (47.319) Prec@5 73.047 (72.777)
Epoch: [107][2070/5005] Time 0.190 (0.211) Data 0.046 (0.048) Loss 2.4895 (2.3017) Prec@1 44.922 (47.313) Prec@5 70.703 (72.766)
Epoch: [107][2080/5005] Time 0.203 (0.211) Data 0.043 (0.048) Loss 2.4315 (2.3017) Prec@1 41.406 (47.307) Prec@5 70.703 (72.770)
Epoch: [107][2090/5005] Time 0.203 (0.211) Data 0.043 (0.048) Loss 2.0570 (2.3012) Prec@1 49.609 (47.311) Prec@5 80.078 (72.779)
Epoch: [107][2100/5005] Time 0.213 (0.211) Data 0.043 (0.048) Loss 2.3334 (2.3010) Prec@1 44.531 (47.317) Prec@5 71.484 (72.783)
Epoch: [107][2110/5005] Time 0.201 (0.211) Data 0.052 (0.048) Loss 2.2277 (2.3011) Prec@1 46.875 (47.320) Prec@5 74.219 (72.779)
Epoch: [107][2120/5005] Time 0.202 (0.211) Data 0.066 (0.048) Loss 2.4119 (2.3010) Prec@1 48.047 (47.323) Prec@5 69.531 (72.781)
Epoch: [107][2130/5005] Time 0.212 (0.211) Data 0.043 (0.048) Loss 2.3895 (2.3006) Prec@1 47.266 (47.329) Prec@5 72.656 (72.785)
Epoch: [107][2140/5005] Time 0.219 (0.211) Data 0.046 (0.048) Loss 2.2916 (2.3009) Prec@1 48.047 (47.328) Prec@5 72.656 (72.781)
Epoch: [107][2150/5005] Time 0.202 (0.211) Data 0.048 (0.048) Loss 2.0405 (2.3007) Prec@1 52.344 (47.328) Prec@5 75.391 (72.781)
Epoch: [107][2160/5005] Time 0.207 (0.211) Data 0.047 (0.048) Loss 2.1686 (2.3006) Prec@1 50.391 (47.328) Prec@5 76.562 (72.784)
Epoch: [107][2170/5005] Time 0.205 (0.211) Data 0.043 (0.048) Loss 2.2078 (2.3004) Prec@1 49.609 (47.336) Prec@5 72.656 (72.786)
Epoch: [107][2180/5005] Time 0.206 (0.211) Data 0.043 (0.048) Loss 2.2973 (2.3002) Prec@1 48.438 (47.340) Prec@5 71.484 (72.785)
Epoch: [107][2190/5005] Time 0.201 (0.211) Data 0.043 (0.048) Loss 2.5065 (2.3003) Prec@1 45.312 (47.337) Prec@5 67.578 (72.782)
Epoch: [107][2200/5005] Time 0.208 (0.211) Data 0.057 (0.048) Loss 2.2956 (2.3004) Prec@1 46.094 (47.336) Prec@5 72.266 (72.782)
Epoch: [107][2210/5005] Time 0.214 (0.211) Data 0.044 (0.048) Loss 2.4767 (2.3007) Prec@1 44.922 (47.328) Prec@5 66.016 (72.776)
Epoch: [107][2220/5005] Time 0.204 (0.211) Data 0.057 (0.048) Loss 2.4704 (2.3006) Prec@1 44.141 (47.327) Prec@5 71.094 (72.778)
Epoch: [107][2230/5005] Time 0.209 (0.211) Data 0.044 (0.048) Loss 2.2938 (2.3007) Prec@1 49.219 (47.328) Prec@5 73.047 (72.771)
Epoch: [107][2240/5005] Time 0.206 (0.211) Data 0.047 (0.048) Loss 2.2703 (2.3008) Prec@1 50.000 (47.324) Prec@5 76.562 (72.767)
Epoch: [107][2250/5005] Time 0.203 (0.211) Data 0.044 (0.048) Loss 2.0013 (2.3008) Prec@1 55.078 (47.324) Prec@5 75.781 (72.767)
Epoch: [107][2260/5005] Time 0.192 (0.211) Data 0.053 (0.048) Loss 2.1530 (2.3005) Prec@1 49.219 (47.328) Prec@5 75.391 (72.770)
Epoch: [107][2270/5005] Time 0.189 (0.211) Data 0.057 (0.048) Loss 2.4860 (2.3004) Prec@1 45.703 (47.337) Prec@5 67.188 (72.770)
Epoch: [107][2280/5005] Time 0.216 (0.211) Data 0.043 (0.048) Loss 2.2750 (2.3005) Prec@1 48.828 (47.335) Prec@5 74.609 (72.772)
Epoch: [107][2290/5005] Time 0.206 (0.211) Data 0.050 (0.048) Loss 2.1401 (2.3005) Prec@1 51.172 (47.333) Prec@5 76.953 (72.776)
Epoch: [107][2300/5005] Time 0.206 (0.211) Data 0.046 (0.048) Loss 2.2343 (2.3003) Prec@1 47.656 (47.341) Prec@5 73.438 (72.782)
Epoch: [107][2310/5005] Time 0.213 (0.211) Data 0.044 (0.048) Loss 2.0556 (2.3003) Prec@1 50.781 (47.348) Prec@5 78.516 (72.783)
Epoch: [107][2320/5005] Time 0.205 (0.211) Data 0.050 (0.048) Loss 2.5208 (2.3005) Prec@1 42.578 (47.341) Prec@5 69.922 (72.779)
Epoch: [107][2330/5005] Time 0.209 (0.211) Data 0.043 (0.048) Loss 2.2036 (2.3003) Prec@1 51.562 (47.346) Prec@5 73.438 (72.781)
Epoch: [107][2340/5005] Time 0.214 (0.211) Data 0.047 (0.048) Loss 2.1702 (2.3000) Prec@1 47.266 (47.352) Prec@5 77.344 (72.788)
Epoch: [107][2350/5005] Time 0.203 (0.211) Data 0.049 (0.048) Loss 2.2866 (2.2999) Prec@1 48.828 (47.354) Prec@5 73.828 (72.789)
Epoch: [107][2360/5005] Time 0.213 (0.211) Data 0.043 (0.048) Loss 2.2385 (2.3000) Prec@1 48.438 (47.357) Prec@5 72.266 (72.787)
Epoch: [107][2370/5005] Time 0.211 (0.211) Data 0.045 (0.048) Loss 2.3711 (2.3001) Prec@1 45.703 (47.353) Prec@5 70.312 (72.785)
Epoch: [107][2380/5005] Time 0.205 (0.211) Data 0.041 (0.048) Loss 2.2732 (2.2999) Prec@1 50.000 (47.355) Prec@5 73.047 (72.788)
Epoch: [107][2390/5005] Time 0.211 (0.211) Data 0.042 (0.048) Loss 2.4125 (2.2998) Prec@1 44.922 (47.362) Prec@5 71.484 (72.786)
Epoch: [107][2400/5005] Time 0.213 (0.211) Data 0.045 (0.048) Loss 2.3216 (2.2999) Prec@1 46.094 (47.363) Prec@5 72.266 (72.788)
Epoch: [107][2410/5005] Time 0.212 (0.211) Data 0.045 (0.048) Loss 2.5156 (2.2998) Prec@1 45.703 (47.366) Prec@5 69.922 (72.789)
Epoch: [107][2420/5005] Time 0.214 (0.211) Data 0.047 (0.048) Loss 2.3391 (2.2998) Prec@1 47.656 (47.369) Prec@5 72.656 (72.790)
Epoch: [107][2430/5005] Time 0.205 (0.211) Data 0.049 (0.048) Loss 2.2208 (2.2998) Prec@1 50.391 (47.367) Prec@5 71.875 (72.786)
Epoch: [107][2440/5005] Time 0.207 (0.211) Data 0.050 (0.048) Loss 2.0505 (2.2998) Prec@1 55.859 (47.369) Prec@5 78.125 (72.785)
Epoch: [107][2450/5005] Time 0.212 (0.211) Data 0.042 (0.048) Loss 2.2241 (2.2996) Prec@1 48.438 (47.374) Prec@5 75.000 (72.787)
Epoch: [107][2460/5005] Time 0.213 (0.211) Data 0.043 (0.048) Loss 2.2323 (2.2994) Prec@1 44.141 (47.375) Prec@5 71.484 (72.787)
Epoch: [107][2470/5005] Time 0.205 (0.211) Data 0.049 (0.048) Loss 2.1375 (2.2993) Prec@1 48.828 (47.380) Prec@5 72.656 (72.787)
Epoch: [107][2480/5005] Time 0.216 (0.211) Data 0.044 (0.048) Loss 2.3521 (2.2995) Prec@1 44.922 (47.376) Prec@5 73.438 (72.782)
Epoch: [107][2490/5005] Time 0.207 (0.211) Data 0.042 (0.048) Loss 2.0752 (2.2993) Prec@1 52.734 (47.376) Prec@5 76.562 (72.786)
Epoch: [107][2500/5005] Time 0.199 (0.211) Data 0.040 (0.048) Loss 2.3401 (2.2993) Prec@1 50.391 (47.377) Prec@5 70.312 (72.781)
Epoch: [107][2510/5005] Time 0.207 (0.211) Data 0.041 (0.048) Loss 2.4430 (2.2994) Prec@1 44.141 (47.373) Prec@5 72.656 (72.783)
Epoch: [107][2520/5005] Time 0.208 (0.211) Data 0.041 (0.048) Loss 2.2721 (2.2995) Prec@1 47.266 (47.374) Prec@5 74.219 (72.781)
Epoch: [107][2530/5005] Time 0.192 (0.211) Data 0.042 (0.048) Loss 2.4523 (2.2994) Prec@1 46.094 (47.376) Prec@5 70.312 (72.784)
Epoch: [107][2540/5005] Time 0.220 (0.211) Data 0.042 (0.048) Loss 2.0641 (2.2993) Prec@1 51.562 (47.378) Prec@5 76.172 (72.788)
Epoch: [107][2550/5005] Time 0.210 (0.211) Data 0.048 (0.048) Loss 2.2503 (2.2992) Prec@1 46.484 (47.378) Prec@5 74.219 (72.791)
Epoch: [107][2560/5005] Time 0.206 (0.211) Data 0.041 (0.048) Loss 2.5913 (2.2993) Prec@1 40.625 (47.375) Prec@5 68.359 (72.788)
Epoch: [107][2570/5005] Time 0.212 (0.211) Data 0.042 (0.048) Loss 2.3586 (2.2995) Prec@1 45.703 (47.373) Prec@5 74.219 (72.787)
Epoch: [107][2580/5005] Time 0.209 (0.211) Data 0.044 (0.048) Loss 2.3585 (2.2998) Prec@1 48.828 (47.369) Prec@5 69.141 (72.782)
Epoch: [107][2590/5005] Time 0.213 (0.211) Data 0.042 (0.048) Loss 2.4406 (2.2997) Prec@1 42.969 (47.371) Prec@5 71.875 (72.782)
Epoch: [107][2600/5005] Time 0.205 (0.211) Data 0.047 (0.048) Loss 2.3341 (2.3000) Prec@1 49.609 (47.368) Prec@5 74.609 (72.778)
Epoch: [107][2610/5005] Time 0.211 (0.211) Data 0.041 (0.048) Loss 2.4964 (2.2998) Prec@1 45.703 (47.370) Prec@5 69.531 (72.777)
Epoch: [107][2620/5005] Time 0.209 (0.211) Data 0.046 (0.048) Loss 2.2857 (2.2999) Prec@1 48.828 (47.369) Prec@5 69.531 (72.774)
Epoch: [107][2630/5005] Time 0.203 (0.211) Data 0.046 (0.048) Loss 2.4529 (2.3003) Prec@1 42.188 (47.362) Prec@5 71.484 (72.773)
Epoch: [107][2640/5005] Time 0.204 (0.211) Data 0.045 (0.048) Loss 2.4986 (2.3002) Prec@1 42.969 (47.359) Prec@5 69.141 (72.773)
Epoch: [107][2650/5005] Time 0.192 (0.211) Data 0.059 (0.048) Loss 2.4704 (2.3002) Prec@1 46.875 (47.361) Prec@5 70.312 (72.773)
Epoch: [107][2660/5005] Time 0.207 (0.211) Data 0.048 (0.048) Loss 2.2554 (2.3002) Prec@1 47.266 (47.359) Prec@5 75.391 (72.772)
Epoch: [107][2670/5005] Time 0.209 (0.210) Data 0.066 (0.048) Loss 2.0840 (2.3000) Prec@1 51.172 (47.363) Prec@5 75.391 (72.774)
Epoch: [107][2680/5005] Time 0.202 (0.210) Data 0.048 (0.048) Loss 2.1776 (2.3000) Prec@1 48.438 (47.359) Prec@5 76.172 (72.771)
Epoch: [107][2690/5005] Time 0.205 (0.210) Data 0.044 (0.048) Loss 2.1139 (2.2999) Prec@1 54.297 (47.363) Prec@5 75.391 (72.769)
Epoch: [107][2700/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.1464 (2.3001) Prec@1 48.047 (47.357) Prec@5 75.781 (72.771)
Epoch: [107][2710/5005] Time 0.209 (0.210) Data 0.048 (0.048) Loss 2.2237 (2.3002) Prec@1 48.438 (47.354) Prec@5 75.000 (72.767)
Epoch: [107][2720/5005] Time 0.214 (0.210) Data 0.044 (0.048) Loss 2.1453 (2.3002) Prec@1 49.609 (47.349) Prec@5 76.562 (72.771)
Epoch: [107][2730/5005] Time 0.209 (0.210) Data 0.051 (0.048) Loss 2.2273 (2.3001) Prec@1 46.484 (47.353) Prec@5 75.000 (72.774)
Epoch: [107][2740/5005] Time 0.200 (0.210) Data 0.044 (0.048) Loss 2.2307 (2.2999) Prec@1 52.734 (47.357) Prec@5 77.344 (72.779)
Epoch: [107][2750/5005] Time 0.201 (0.210) Data 0.051 (0.048) Loss 2.2455 (2.2999) Prec@1 45.312 (47.360) Prec@5 73.047 (72.778)
Epoch: [107][2760/5005] Time 0.214 (0.210) Data 0.048 (0.048) Loss 2.2888 (2.3000) Prec@1 47.266 (47.360) Prec@5 71.484 (72.772)
Epoch: [107][2770/5005] Time 0.215 (0.210) Data 0.043 (0.048) Loss 2.2778 (2.3001) Prec@1 48.047 (47.356) Prec@5 72.266 (72.772)
Epoch: [107][2780/5005] Time 0.210 (0.210) Data 0.053 (0.048) Loss 2.5196 (2.3001) Prec@1 39.844 (47.359) Prec@5 67.969 (72.772)
Epoch: [107][2790/5005] Time 0.204 (0.210) Data 0.063 (0.048) Loss 2.4219 (2.3001) Prec@1 41.016 (47.360) Prec@5 72.266 (72.771)
Epoch: [107][2800/5005] Time 0.204 (0.210) Data 0.047 (0.048) Loss 2.0390 (2.2999) Prec@1 51.172 (47.366) Prec@5 79.297 (72.775)
Epoch: [107][2810/5005] Time 0.202 (0.210) Data 0.059 (0.048) Loss 2.4813 (2.3000) Prec@1 44.531 (47.367) Prec@5 67.578 (72.774)
Epoch: [107][2820/5005] Time 0.214 (0.210) Data 0.043 (0.048) Loss 1.9179 (2.2998) Prec@1 53.125 (47.373) Prec@5 77.734 (72.780)
Epoch: [107][2830/5005] Time 0.206 (0.210) Data 0.049 (0.048) Loss 2.3421 (2.2997) Prec@1 46.875 (47.374) Prec@5 72.266 (72.781)
Epoch: [107][2840/5005] Time 0.202 (0.210) Data 0.064 (0.048) Loss 2.2826 (2.2996) Prec@1 46.484 (47.379) Prec@5 72.266 (72.781)
Epoch: [107][2850/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.3086 (2.2995) Prec@1 51.172 (47.384) Prec@5 70.703 (72.783)
Epoch: [107][2860/5005] Time 0.210 (0.210) Data 0.042 (0.048) Loss 2.3266 (2.2997) Prec@1 47.266 (47.384) Prec@5 70.703 (72.781)
Epoch: [107][2870/5005] Time 0.206 (0.210) Data 0.043 (0.048) Loss 2.0972 (2.2994) Prec@1 51.953 (47.391) Prec@5 74.609 (72.789)
Epoch: [107][2880/5005] Time 0.207 (0.210) Data 0.060 (0.048) Loss 2.2396 (2.2993) Prec@1 45.703 (47.389) Prec@5 75.781 (72.790)
Epoch: [107][2890/5005] Time 0.219 (0.210) Data 0.042 (0.048) Loss 2.2309 (2.2992) Prec@1 44.141 (47.392) Prec@5 76.562 (72.792)
Epoch: [107][2900/5005] Time 0.210 (0.210) Data 0.042 (0.048) Loss 2.0059 (2.2990) Prec@1 53.125 (47.397) Prec@5 79.688 (72.798)
Epoch: [107][2910/5005] Time 0.203 (0.210) Data 0.052 (0.048) Loss 2.1390 (2.2990) Prec@1 50.781 (47.397) Prec@5 76.172 (72.800)
Epoch: [107][2920/5005] Time 0.207 (0.210) Data 0.058 (0.048) Loss 2.4120 (2.2990) Prec@1 44.141 (47.400) Prec@5 73.047 (72.803)
Epoch: [107][2930/5005] Time 0.205 (0.210) Data 0.043 (0.048) Loss 2.5794 (2.2991) Prec@1 37.891 (47.401) Prec@5 67.188 (72.801)
Epoch: [107][2940/5005] Time 0.215 (0.210) Data 0.052 (0.048) Loss 2.3125 (2.2988) Prec@1 49.609 (47.403) Prec@5 72.656 (72.804)
Epoch: [107][2950/5005] Time 0.200 (0.210) Data 0.044 (0.048) Loss 2.5487 (2.2987) Prec@1 40.234 (47.404) Prec@5 70.703 (72.809)
Epoch: [107][2960/5005] Time 0.207 (0.210) Data 0.051 (0.048) Loss 2.2142 (2.2985) Prec@1 48.828 (47.410) Prec@5 73.438 (72.815)
Epoch: [107][2970/5005] Time 0.207 (0.210) Data 0.043 (0.048) Loss 2.3955 (2.2985) Prec@1 44.922 (47.407) Prec@5 72.656 (72.816)
Epoch: [107][2980/5005] Time 0.205 (0.210) Data 0.046 (0.048) Loss 2.3619 (2.2985) Prec@1 45.703 (47.410) Prec@5 71.875 (72.816)
Epoch: [107][2990/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.2444 (2.2985) Prec@1 48.828 (47.406) Prec@5 73.828 (72.817)
Epoch: [107][3000/5005] Time 0.207 (0.210) Data 0.044 (0.048) Loss 2.2910 (2.2984) Prec@1 48.047 (47.407) Prec@5 73.047 (72.820)
Epoch: [107][3010/5005] Time 0.216 (0.210) Data 0.048 (0.048) Loss 2.2464 (2.2985) Prec@1 44.141 (47.408) Prec@5 72.266 (72.818)
Epoch: [107][3020/5005] Time 0.209 (0.210) Data 0.046 (0.048) Loss 2.2454 (2.2986) Prec@1 48.438 (47.410) Prec@5 73.438 (72.816)
Epoch: [107][3030/5005] Time 0.208 (0.210) Data 0.041 (0.048) Loss 2.1717 (2.2984) Prec@1 48.828 (47.413) Prec@5 78.516 (72.820)
Epoch: [107][3040/5005] Time 0.199 (0.210) Data 0.057 (0.048) Loss 2.1021 (2.2982) Prec@1 51.953 (47.419) Prec@5 76.953 (72.825)
Epoch: [107][3050/5005] Time 0.207 (0.210) Data 0.041 (0.048) Loss 2.2587 (2.2982) Prec@1 44.922 (47.417) Prec@5 73.438 (72.821)
Epoch: [107][3060/5005] Time 0.207 (0.210) Data 0.043 (0.048) Loss 2.1129 (2.2981) Prec@1 54.297 (47.419) Prec@5 75.000 (72.823)
Epoch: [107][3070/5005] Time 0.194 (0.210) Data 0.040 (0.048) Loss 2.1860 (2.2982) Prec@1 49.219 (47.421) Prec@5 75.000 (72.822)
Epoch: [107][3080/5005] Time 0.203 (0.210) Data 0.050 (0.048) Loss 2.1622 (2.2981) Prec@1 49.609 (47.422) Prec@5 75.000 (72.822)
Epoch: [107][3090/5005] Time 0.212 (0.210) Data 0.048 (0.048) Loss 2.5191 (2.2980) Prec@1 39.453 (47.424) Prec@5 70.703 (72.824)
Epoch: [107][3100/5005] Time 0.203 (0.210) Data 0.040 (0.048) Loss 2.3244 (2.2981) Prec@1 48.438 (47.422) Prec@5 73.828 (72.822)
Epoch: [107][3110/5005] Time 0.205 (0.210) Data 0.042 (0.048) Loss 2.0991 (2.2978) Prec@1 49.219 (47.427) Prec@5 75.391 (72.826)
Epoch: [107][3120/5005] Time 0.204 (0.210) Data 0.057 (0.048) Loss 2.3081 (2.2977) Prec@1 45.312 (47.426) Prec@5 73.047 (72.828)
Epoch: [107][3130/5005] Time 0.214 (0.210) Data 0.049 (0.048) Loss 2.3759 (2.2976) Prec@1 43.750 (47.431) Prec@5 73.828 (72.831)
Epoch: [107][3140/5005] Time 0.208 (0.210) Data 0.048 (0.048) Loss 2.1477 (2.2974) Prec@1 51.172 (47.431) Prec@5 74.219 (72.834)
Epoch: [107][3150/5005] Time 0.215 (0.210) Data 0.051 (0.048) Loss 2.2716 (2.2973) Prec@1 51.953 (47.437) Prec@5 75.391 (72.837)
Epoch: [107][3160/5005] Time 0.204 (0.210) Data 0.042 (0.048) Loss 2.1498 (2.2973) Prec@1 51.562 (47.437) Prec@5 73.438 (72.833)
Epoch: [107][3170/5005] Time 0.201 (0.210) Data 0.051 (0.048) Loss 2.2842 (2.2974) Prec@1 46.484 (47.433) Prec@5 74.609 (72.831)
Epoch: [107][3180/5005] Time 0.221 (0.210) Data 0.046 (0.048) Loss 2.1430 (2.2975) Prec@1 51.953 (47.430) Prec@5 74.609 (72.829)
Epoch: [107][3190/5005] Time 0.214 (0.210) Data 0.047 (0.048) Loss 2.3977 (2.2976) Prec@1 46.094 (47.425) Prec@5 68.750 (72.828)
Epoch: [107][3200/5005] Time 0.195 (0.210) Data 0.061 (0.048) Loss 2.2748 (2.2975) Prec@1 50.391 (47.430) Prec@5 73.047 (72.829)
Epoch: [107][3210/5005] Time 0.214 (0.210) Data 0.049 (0.048) Loss 2.4782 (2.2975) Prec@1 47.266 (47.437) Prec@5 70.312 (72.832)
Epoch: [107][3220/5005] Time 0.206 (0.210) Data 0.045 (0.048) Loss 2.4857 (2.2976) Prec@1 44.922 (47.435) Prec@5 70.312 (72.831)
Epoch: [107][3230/5005] Time 0.195 (0.210) Data 0.044 (0.048) Loss 2.2197 (2.2974) Prec@1 49.219 (47.440) Prec@5 72.656 (72.834)
Epoch: [107][3240/5005] Time 0.198 (0.210) Data 0.048 (0.048) Loss 2.6168 (2.2977) Prec@1 42.188 (47.435) Prec@5 67.578 (72.827)
Epoch: [107][3250/5005] Time 0.216 (0.210) Data 0.043 (0.048) Loss 2.2697 (2.2977) Prec@1 45.312 (47.434) Prec@5 73.047 (72.829)
Epoch: [107][3260/5005] Time 0.209 (0.210) Data 0.046 (0.048) Loss 2.2570 (2.2977) Prec@1 49.609 (47.435) Prec@5 72.656 (72.829)
Epoch: [107][3270/5005] Time 0.207 (0.210) Data 0.060 (0.048) Loss 2.4837 (2.2976) Prec@1 43.750 (47.435) Prec@5 68.359 (72.828)
Epoch: [107][3280/5005] Time 0.204 (0.210) Data 0.046 (0.048) Loss 2.2311 (2.2978) Prec@1 49.609 (47.430) Prec@5 72.266 (72.828)
Epoch: [107][3290/5005] Time 0.211 (0.210) Data 0.047 (0.048) Loss 2.2759 (2.2977) Prec@1 51.953 (47.433) Prec@5 73.828 (72.829)
Epoch: [107][3300/5005] Time 0.203 (0.210) Data 0.061 (0.048) Loss 2.2559 (2.2977) Prec@1 46.094 (47.434) Prec@5 73.828 (72.830)
Epoch: [107][3310/5005] Time 0.200 (0.210) Data 0.042 (0.048) Loss 2.2900 (2.2978) Prec@1 46.484 (47.432) Prec@5 72.266 (72.827)
Epoch: [107][3320/5005] Time 0.207 (0.210) Data 0.046 (0.048) Loss 2.3632 (2.2977) Prec@1 45.312 (47.431) Prec@5 68.750 (72.825)
Epoch: [107][3330/5005] Time 0.214 (0.210) Data 0.043 (0.048) Loss 2.4358 (2.2979) Prec@1 45.312 (47.426) Prec@5 69.922 (72.822)
Epoch: [107][3340/5005] Time 0.208 (0.210) Data 0.045 (0.048) Loss 2.4244 (2.2979) Prec@1 47.656 (47.425) Prec@5 71.094 (72.822)
Epoch: [107][3350/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.5579 (2.2978) Prec@1 40.234 (47.422) Prec@5 68.750 (72.824)
Epoch: [107][3360/5005] Time 0.218 (0.210) Data 0.044 (0.048) Loss 2.2285 (2.2979) Prec@1 48.828 (47.422) Prec@5 73.047 (72.820)
Epoch: [107][3370/5005] Time 0.203 (0.210) Data 0.058 (0.048) Loss 2.4323 (2.2980) Prec@1 45.312 (47.422) Prec@5 72.266 (72.817)
Epoch: [107][3380/5005] Time 0.210 (0.210) Data 0.058 (0.048) Loss 2.2633 (2.2978) Prec@1 50.391 (47.424) Prec@5 71.875 (72.818)
Epoch: [107][3390/5005] Time 0.206 (0.210) Data 0.046 (0.048) Loss 2.1374 (2.2979) Prec@1 51.562 (47.422) Prec@5 76.953 (72.817)
Epoch: [107][3400/5005] Time 0.208 (0.210) Data 0.048 (0.048) Loss 2.2594 (2.2979) Prec@1 46.875 (47.421) Prec@5 76.172 (72.813)
Epoch: [107][3410/5005] Time 0.196 (0.210) Data 0.051 (0.048) Loss 2.1984 (2.2977) Prec@1 47.266 (47.427) Prec@5 72.656 (72.818)
Epoch: [107][3420/5005] Time 0.206 (0.210) Data 0.045 (0.048) Loss 2.3091 (2.2976) Prec@1 47.656 (47.428) Prec@5 73.438 (72.819)
Epoch: [107][3430/5005] Time 0.212 (0.210) Data 0.041 (0.048) Loss 2.2158 (2.2976) Prec@1 48.438 (47.430) Prec@5 71.875 (72.817)
Epoch: [107][3440/5005] Time 0.207 (0.210) Data 0.042 (0.048) Loss 2.3952 (2.2975) Prec@1 49.219 (47.430) Prec@5 69.922 (72.818)
Epoch: [107][3450/5005] Time 0.209 (0.210) Data 0.046 (0.048) Loss 2.1618 (2.2974) Prec@1 46.094 (47.431) Prec@5 76.562 (72.821)
Epoch: [107][3460/5005] Time 0.219 (0.210) Data 0.047 (0.048) Loss 2.3025 (2.2974) Prec@1 49.609 (47.429) Prec@5 73.828 (72.821)
Epoch: [107][3470/5005] Time 0.199 (0.210) Data 0.052 (0.048) Loss 2.1569 (2.2972) Prec@1 50.781 (47.434) Prec@5 74.219 (72.824)
Epoch: [107][3480/5005] Time 0.207 (0.210) Data 0.050 (0.048) Loss 2.2051 (2.2970) Prec@1 49.609 (47.436) Prec@5 72.656 (72.825)
Epoch: [107][3490/5005] Time 0.208 (0.210) Data 0.046 (0.048) Loss 2.3973 (2.2970) Prec@1 43.359 (47.434) Prec@5 70.703 (72.825)
Epoch: [107][3500/5005] Time 0.206 (0.210) Data 0.044 (0.048) Loss 2.1293 (2.2971) Prec@1 50.000 (47.433) Prec@5 74.609 (72.824)
Epoch: [107][3510/5005] Time 0.203 (0.210) Data 0.044 (0.048) Loss 2.2698 (2.2970) Prec@1 47.656 (47.433) Prec@5 72.656 (72.826)
Epoch: [107][3520/5005] Time 0.206 (0.210) Data 0.054 (0.048) Loss 2.3632 (2.2970) Prec@1 47.656 (47.432) Prec@5 72.656 (72.826)
Epoch: [107][3530/5005] Time 0.207 (0.210) Data 0.048 (0.048) Loss 2.1783 (2.2969) Prec@1 52.344 (47.438) Prec@5 76.562 (72.827)
Epoch: [107][3540/5005] Time 0.211 (0.210) Data 0.050 (0.048) Loss 2.1919 (2.2968) Prec@1 47.656 (47.439) Prec@5 76.172 (72.830)
Epoch: [107][3550/5005] Time 0.205 (0.210) Data 0.052 (0.048) Loss 2.3800 (2.2966) Prec@1 49.609 (47.443) Prec@5 69.531 (72.831)
Epoch: [107][3560/5005] Time 0.202 (0.210) Data 0.052 (0.048) Loss 2.4440 (2.2966) Prec@1 45.703 (47.443) Prec@5 68.359 (72.832)
Epoch: [107][3570/5005] Time 0.207 (0.210) Data 0.044 (0.048) Loss 2.3561 (2.2967) Prec@1 49.219 (47.442) Prec@5 72.266 (72.830)
Epoch: [107][3580/5005] Time 0.207 (0.210) Data 0.057 (0.048) Loss 2.1681 (2.2967) Prec@1 55.859 (47.441) Prec@5 74.219 (72.827)
Epoch: [107][3590/5005] Time 0.208 (0.210) Data 0.042 (0.048) Loss 2.3592 (2.2964) Prec@1 47.656 (47.448) Prec@5 70.703 (72.830)
Epoch: [107][3600/5005] Time 0.206 (0.210) Data 0.058 (0.048) Loss 2.2725 (2.2962) Prec@1 48.047 (47.450) Prec@5 72.266 (72.833)
Epoch: [107][3610/5005] Time 0.209 (0.210) Data 0.042 (0.048) Loss 2.2589 (2.2964) Prec@1 53.516 (47.451) Prec@5 70.312 (72.830)
Epoch: [107][3620/5005] Time 0.214 (0.210) Data 0.059 (0.048) Loss 2.4811 (2.2962) Prec@1 42.188 (47.455) Prec@5 69.922 (72.835)
Epoch: [107][3630/5005] Time 0.207 (0.210) Data 0.046 (0.048) Loss 2.5067 (2.2961) Prec@1 44.141 (47.458) Prec@5 70.312 (72.837)
Epoch: [107][3640/5005] Time 0.201 (0.210) Data 0.047 (0.048) Loss 2.2363 (2.2960) Prec@1 46.484 (47.458) Prec@5 75.391 (72.839)
Epoch: [107][3650/5005] Time 0.210 (0.210) Data 0.047 (0.048) Loss 2.1319 (2.2961) Prec@1 51.172 (47.456) Prec@5 74.609 (72.838)
Epoch: [107][3660/5005] Time 0.215 (0.210) Data 0.047 (0.048) Loss 2.4984 (2.2959) Prec@1 41.797 (47.456) Prec@5 69.922 (72.842)
Epoch: [107][3670/5005] Time 0.203 (0.210) Data 0.045 (0.048) Loss 2.4205 (2.2961) Prec@1 46.484 (47.452) Prec@5 73.047 (72.841)
Epoch: [107][3680/5005] Time 0.209 (0.210) Data 0.041 (0.048) Loss 2.1994 (2.2962) Prec@1 46.094 (47.449) Prec@5 75.781 (72.840)
Epoch: [107][3690/5005] Time 0.197 (0.210) Data 0.046 (0.048) Loss 2.0368 (2.2961) Prec@1 50.781 (47.450) Prec@5 76.172 (72.843)
Epoch: [107][3700/5005] Time 0.197 (0.210) Data 0.058 (0.048) Loss 2.3359 (2.2961) Prec@1 49.609 (47.450) Prec@5 71.484 (72.843)
Epoch: [107][3710/5005] Time 0.196 (0.210) Data 0.045 (0.048) Loss 2.2794 (2.2962) Prec@1 48.828 (47.450) Prec@5 74.609 (72.844)
Epoch: [107][3720/5005] Time 0.204 (0.210) Data 0.048 (0.048) Loss 2.3617 (2.2961) Prec@1 45.312 (47.448) Prec@5 72.656 (72.844)
Epoch: [107][3730/5005] Time 0.215 (0.209) Data 0.051 (0.048) Loss 2.1068 (2.2961) Prec@1 54.297 (47.449) Prec@5 73.828 (72.844)
Epoch: [107][3740/5005] Time 0.206 (0.209) Data 0.064 (0.048) Loss 2.3133 (2.2959) Prec@1 48.828 (47.455) Prec@5 72.266 (72.848)
Epoch: [107][3750/5005] Time 0.210 (0.209) Data 0.057 (0.048) Loss 2.1063 (2.2960) Prec@1 54.688 (47.455) Prec@5 75.781 (72.847)
Epoch: [107][3760/5005] Time 0.206 (0.209) Data 0.045 (0.048) Loss 2.3758 (2.2961) Prec@1 44.922 (47.454) Prec@5 67.969 (72.845)
Epoch: [107][3770/5005] Time 0.203 (0.209) Data 0.045 (0.048) Loss 2.2145 (2.2959) Prec@1 48.047 (47.456) Prec@5 74.219 (72.848)
Epoch: [107][3780/5005] Time 0.205 (0.209) Data 0.045 (0.048) Loss 2.2244 (2.2958) Prec@1 49.219 (47.456) Prec@5 75.000 (72.850)
Epoch: [107][3790/5005] Time 0.209 (0.209) Data 0.050 (0.048) Loss 2.4600 (2.2959) Prec@1 45.312 (47.453) Prec@5 70.312 (72.849)
Epoch: [107][3800/5005] Time 0.214 (0.209) Data 0.045 (0.048) Loss 2.0900 (2.2960) Prec@1 49.219 (47.449) Prec@5 75.000 (72.845)
Epoch: [107][3810/5005] Time 0.201 (0.209) Data 0.049 (0.048) Loss 2.3249 (2.2961) Prec@1 50.000 (47.445) Prec@5 73.828 (72.845)
Epoch: [107][3820/5005] Time 0.213 (0.209) Data 0.041 (0.048) Loss 2.2324 (2.2960) Prec@1 50.391 (47.448) Prec@5 74.609 (72.849)
Epoch: [107][3830/5005] Time 0.204 (0.209) Data 0.052 (0.048) Loss 2.3616 (2.2958) Prec@1 44.141 (47.451) Prec@5 72.656 (72.851)
Epoch: [107][3840/5005] Time 0.208 (0.209) Data 0.042 (0.048) Loss 2.6575 (2.2960) Prec@1 41.406 (47.450) Prec@5 67.969 (72.848)
Epoch: [107][3850/5005] Time 0.197 (0.209) Data 0.054 (0.048) Loss 2.3449 (2.2959) Prec@1 50.781 (47.449) Prec@5 72.656 (72.848)
Epoch: [107][3860/5005] Time 0.200 (0.210) Data 0.049 (0.048) Loss 2.1589 (2.2960) Prec@1 50.000 (47.448) Prec@5 73.828 (72.847)
Epoch: [107][3870/5005] Time 0.198 (0.210) Data 0.061 (0.048) Loss 2.2773 (2.2961) Prec@1 44.922 (47.445) Prec@5 72.656 (72.845)
Epoch: [107][3880/5005] Time 0.191 (0.209) Data 0.045 (0.048) Loss 2.0508 (2.2961) Prec@1 54.688 (47.447) Prec@5 76.172 (72.845)
Epoch: [107][3890/5005] Time 0.201 (0.209) Data 0.056 (0.048) Loss 2.5519 (2.2961) Prec@1 42.188 (47.448) Prec@5 69.141 (72.843)
Epoch: [107][3900/5005] Time 0.209 (0.209) Data 0.051 (0.048) Loss 2.6057 (2.2962) Prec@1 42.188 (47.448) Prec@5 68.359 (72.843)
Epoch: [107][3910/5005] Time 0.204 (0.209) Data 0.058 (0.048) Loss 2.2442 (2.2962) Prec@1 48.047 (47.451) Prec@5 75.000 (72.844)
Epoch: [107][3920/5005] Time 0.207 (0.209) Data 0.064 (0.048) Loss 2.2292 (2.2962) Prec@1 51.172 (47.454) Prec@5 74.219 (72.842)
Epoch: [107][3930/5005] Time 0.213 (0.209) Data 0.044 (0.048) Loss 2.2770 (2.2960) Prec@1 48.828 (47.458) Prec@5 73.828 (72.845)
Epoch: [107][3940/5005] Time 0.214 (0.209) Data 0.050 (0.048) Loss 2.2614 (2.2959) Prec@1 48.438 (47.458) Prec@5 75.391 (72.846)
Epoch: [107][3950/5005] Time 0.218 (0.209) Data 0.048 (0.048) Loss 2.0809 (2.2957) Prec@1 52.344 (47.460) Prec@5 77.734 (72.850)
Epoch: [107][3960/5005] Time 0.205 (0.209) Data 0.046 (0.048) Loss 2.3776 (2.2957) Prec@1 45.703 (47.459) Prec@5 71.094 (72.851)
Epoch: [107][3970/5005] Time 0.225 (0.209) Data 0.046 (0.048) Loss 2.1997 (2.2957) Prec@1 50.391 (47.460) Prec@5 75.391 (72.851)
Epoch: [107][3980/5005] Time 0.210 (0.209) Data 0.049 (0.048) Loss 2.1904 (2.2956) Prec@1 47.266 (47.461) Prec@5 74.219 (72.854)
Epoch: [107][3990/5005] Time 0.205 (0.209) Data 0.048 (0.048) Loss 2.4110 (2.2956) Prec@1 44.922 (47.459) Prec@5 69.922 (72.854)
Epoch: [107][4000/5005] Time 0.193 (0.209) Data 0.043 (0.048) Loss 2.1986 (2.2957) Prec@1 44.531 (47.456) Prec@5 76.172 (72.852)
Epoch: [107][4010/5005] Time 0.206 (0.209) Data 0.041 (0.048) Loss 2.3350 (2.2956) Prec@1 44.531 (47.457) Prec@5 71.875 (72.855)
Epoch: [107][4020/5005] Time 0.211 (0.209) Data 0.042 (0.048) Loss 2.4795 (2.2956) Prec@1 43.359 (47.455) Prec@5 70.312 (72.852)
Epoch: [107][4030/5005] Time 0.211 (0.209) Data 0.041 (0.048) Loss 2.5981 (2.2958) Prec@1 42.578 (47.449) Prec@5 69.141 (72.848)
Epoch: [107][4040/5005] Time 0.205 (0.209) Data 0.046 (0.048) Loss 2.3198 (2.2960) Prec@1 49.219 (47.447) Prec@5 70.312 (72.846)
Epoch: [107][4050/5005] Time 0.207 (0.209) Data 0.045 (0.048) Loss 2.4781 (2.2959) Prec@1 43.359 (47.450) Prec@5 68.359 (72.849)
Epoch: [107][4060/5005] Time 0.205 (0.209) Data 0.046 (0.048) Loss 2.3326 (2.2959) Prec@1 44.922 (47.449) Prec@5 72.266 (72.849)
Epoch: [107][4070/5005] Time 0.211 (0.209) Data 0.048 (0.048) Loss 2.4018 (2.2959) Prec@1 46.094 (47.448) Prec@5 72.656 (72.850)
Epoch: [107][4080/5005] Time 0.189 (0.209) Data 0.041 (0.048) Loss 2.3272 (2.2958) Prec@1 43.750 (47.446) Prec@5 71.094 (72.849)
Epoch: [107][4090/5005] Time 0.209 (0.209) Data 0.051 (0.048) Loss 2.3400 (2.2957) Prec@1 46.484 (47.448) Prec@5 71.484 (72.849)
Epoch: [107][4100/5005] Time 0.208 (0.209) Data 0.049 (0.048) Loss 2.2042 (2.2958) Prec@1 48.047 (47.446) Prec@5 73.047 (72.848)
Epoch: [107][4110/5005] Time 0.201 (0.209) Data 0.045 (0.048) Loss 2.4967 (2.2958) Prec@1 40.625 (47.445) Prec@5 68.359 (72.847)
Epoch: [107][4120/5005] Time 0.214 (0.209) Data 0.046 (0.048) Loss 2.3087 (2.2957) Prec@1 49.609 (47.448) Prec@5 69.922 (72.847)
Epoch: [107][4130/5005] Time 0.210 (0.209) Data 0.044 (0.048) Loss 2.3672 (2.2957) Prec@1 42.578 (47.448) Prec@5 68.750 (72.848)
Epoch: [107][4140/5005] Time 0.205 (0.209) Data 0.042 (0.048) Loss 2.2640 (2.2956) Prec@1 48.047 (47.449) Prec@5 72.266 (72.848)
Epoch: [107][4150/5005] Time 0.210 (0.209) Data 0.045 (0.048) Loss 2.4049 (2.2956) Prec@1 42.969 (47.449) Prec@5 73.438 (72.849)
Epoch: [107][4160/5005] Time 0.204 (0.209) Data 0.042 (0.048) Loss 2.3228 (2.2957) Prec@1 47.656 (47.450) Prec@5 72.656 (72.849)
Epoch: [107][4170/5005] Time 0.210 (0.209) Data 0.042 (0.048) Loss 2.2211 (2.2955) Prec@1 48.438 (47.453) Prec@5 73.438 (72.854)
Epoch: [107][4180/5005] Time 0.206 (0.209) Data 0.052 (0.048) Loss 2.2335 (2.2954) Prec@1 48.047 (47.455) Prec@5 73.828 (72.857)
Epoch: [107][4190/5005] Time 0.206 (0.209) Data 0.052 (0.048) Loss 2.1840 (2.2955) Prec@1 48.828 (47.455) Prec@5 74.219 (72.856)
Epoch: [107][4200/5005] Time 0.202 (0.209) Data 0.050 (0.048) Loss 2.1821 (2.2955) Prec@1 48.828 (47.451) Prec@5 71.484 (72.856)
Epoch: [107][4210/5005] Time 0.201 (0.209) Data 0.048 (0.048) Loss 2.1811 (2.2955) Prec@1 49.219 (47.450) Prec@5 76.562 (72.856)
Epoch: [107][4220/5005] Time 0.207 (0.209) Data 0.047 (0.048) Loss 2.4161 (2.2957) Prec@1 46.875 (47.446) Prec@5 68.750 (72.851)
Epoch: [107][4230/5005] Time 0.218 (0.209) Data 0.043 (0.048) Loss 2.4133 (2.2958) Prec@1 43.359 (47.445) Prec@5 72.656 (72.850)
Epoch: [107][4240/5005] Time 0.198 (0.209) Data 0.053 (0.048) Loss 2.2025 (2.2959) Prec@1 47.266 (47.442) Prec@5 72.266 (72.849)
Epoch: [107][4250/5005] Time 0.204 (0.209) Data 0.042 (0.048) Loss 2.0961 (2.2957) Prec@1 51.562 (47.442) Prec@5 78.125 (72.850)
Epoch: [107][4260/5005] Time 0.204 (0.209) Data 0.050 (0.048) Loss 2.2704 (2.2957) Prec@1 44.922 (47.442) Prec@5 73.828 (72.850)
Epoch: [107][4270/5005] Time 0.209 (0.209) Data 0.051 (0.048) Loss 2.4865 (2.2958) Prec@1 44.141 (47.442) Prec@5 69.141 (72.848)
Epoch: [107][4280/5005] Time 0.205 (0.209) Data 0.053 (0.048) Loss 2.4197 (2.2958) Prec@1 49.609 (47.442) Prec@5 69.922 (72.849)
Epoch: [107][4290/5005] Time 0.209 (0.209) Data 0.043 (0.048) Loss 2.4623 (2.2959) Prec@1 46.875 (47.442) Prec@5 67.969 (72.847)
Epoch: [107][4300/5005] Time 0.206 (0.209) Data 0.042 (0.048) Loss 2.1326 (2.2957) Prec@1 46.484 (47.444) Prec@5 75.000 (72.850)
Epoch: [107][4310/5005] Time 0.212 (0.209) Data 0.043 (0.048) Loss 2.1516 (2.2956) Prec@1 53.516 (47.448) Prec@5 75.391 (72.850)
Epoch: [107][4320/5005] Time 0.212 (0.209) Data 0.044 (0.048) Loss 2.3703 (2.2956) Prec@1 50.391 (47.449) Prec@5 70.312 (72.851)
Epoch: [107][4330/5005] Time 0.204 (0.209) Data 0.054 (0.048) Loss 2.2027 (2.2956) Prec@1 46.094 (47.448) Prec@5 73.828 (72.851)
Epoch: [107][4340/5005] Time 0.214 (0.209) Data 0.046 (0.048) Loss 2.3028 (2.2957) Prec@1 45.312 (47.448) Prec@5 71.094 (72.851)
Epoch: [107][4350/5005] Time 0.209 (0.209) Data 0.048 (0.048) Loss 2.2938 (2.2956) Prec@1 50.391 (47.449) Prec@5 74.609 (72.852)
Epoch: [107][4360/5005] Time 0.204 (0.209) Data 0.053 (0.048) Loss 2.2184 (2.2955) Prec@1 46.484 (47.451) Prec@5 73.828 (72.855)
Epoch: [107][4370/5005] Time 0.204 (0.209) Data 0.049 (0.048) Loss 2.1460 (2.2955) Prec@1 49.219 (47.452) Prec@5 76.953 (72.854)
Epoch: [107][4380/5005] Time 0.202 (0.209) Data 0.046 (0.048) Loss 2.3712 (2.2955) Prec@1 44.141 (47.451) Prec@5 71.484 (72.855)
Epoch: [107][4390/5005] Time 0.197 (0.209) Data 0.046 (0.048) Loss 2.4887 (2.2953) Prec@1 41.016 (47.454) Prec@5 69.141 (72.856)
Epoch: [107][4400/5005] Time 0.195 (0.209) Data 0.048 (0.048) Loss 2.2190 (2.2953) Prec@1 46.484 (47.454) Prec@5 73.047 (72.854)
Epoch: [107][4410/5005] Time 0.204 (0.209) Data 0.061 (0.048) Loss 2.2246 (2.2953) Prec@1 47.656 (47.452) Prec@5 72.266 (72.854)
Epoch: [107][4420/5005] Time 0.201 (0.209) Data 0.054 (0.048) Loss 1.9309 (2.2952) Prec@1 55.078 (47.452) Prec@5 77.734 (72.857)
Epoch: [107][4430/5005] Time 0.206 (0.209) Data 0.053 (0.048) Loss 2.3388 (2.2950) Prec@1 48.047 (47.458) Prec@5 69.141 (72.858)
Epoch: [107][4440/5005] Time 0.201 (0.209) Data 0.042 (0.048) Loss 2.3143 (2.2951) Prec@1 50.391 (47.459) Prec@5 71.484 (72.858)
Epoch: [107][4450/5005] Time 0.200 (0.209) Data 0.069 (0.048) Loss 2.0642 (2.2950) Prec@1 51.953 (47.458) Prec@5 76.562 (72.856)
Epoch: [107][4460/5005] Time 0.207 (0.209) Data 0.050 (0.048) Loss 2.3592 (2.2948) Prec@1 49.609 (47.460) Prec@5 69.531 (72.858)
Epoch: [107][4470/5005] Time 0.209 (0.209) Data 0.047 (0.048) Loss 2.2126 (2.2949) Prec@1 49.219 (47.460) Prec@5 74.609 (72.856)
Epoch: [107][4480/5005] Time 0.198 (0.209) Data 0.046 (0.048) Loss 2.0932 (2.2950) Prec@1 52.734 (47.458) Prec@5 75.391 (72.854)
Epoch: [107][4490/5005] Time 0.204 (0.209) Data 0.047 (0.048) Loss 2.3357 (2.2951) Prec@1 47.656 (47.458) Prec@5 72.656 (72.855)
Epoch: [107][4500/5005] Time 0.214 (0.209) Data 0.045 (0.048) Loss 2.2272 (2.2950) Prec@1 51.172 (47.460) Prec@5 76.562 (72.855)
Epoch: [107][4510/5005] Time 0.213 (0.209) Data 0.047 (0.048) Loss 2.1201 (2.2950) Prec@1 48.828 (47.458) Prec@5 76.953 (72.855)
Epoch: [107][4520/5005] Time 0.211 (0.209) Data 0.041 (0.048) Loss 2.0806 (2.2949) Prec@1 52.734 (47.459) Prec@5 78.125 (72.854)
Epoch: [107][4530/5005] Time 0.205 (0.209) Data 0.044 (0.048) Loss 2.1607 (2.2948) Prec@1 51.562 (47.461) Prec@5 72.656 (72.855)
Epoch: [107][4540/5005] Time 0.211 (0.209) Data 0.051 (0.048) Loss 2.3765 (2.2950) Prec@1 44.141 (47.457) Prec@5 73.828 (72.852)
Epoch: [107][4550/5005] Time 0.203 (0.209) Data 0.046 (0.048) Loss 2.3589 (2.2949) Prec@1 49.219 (47.457) Prec@5 72.266 (72.854)
Epoch: [107][4560/5005] Time 0.207 (0.209) Data 0.049 (0.048) Loss 2.3783 (2.2949) Prec@1 46.484 (47.458) Prec@5 71.094 (72.854)
Epoch: [107][4570/5005] Time 0.197 (0.209) Data 0.043 (0.048) Loss 2.3784 (2.2948) Prec@1 46.484 (47.459) Prec@5 71.094 (72.854)
Epoch: [107][4580/5005] Time 0.208 (0.209) Data 0.043 (0.048) Loss 2.3092 (2.2947) Prec@1 47.266 (47.464) Prec@5 73.828 (72.855)
Epoch: [107][4590/5005] Time 0.207 (0.209) Data 0.042 (0.048) Loss 2.1198 (2.2948) Prec@1 48.438 (47.461) Prec@5 76.953 (72.855)
Epoch: [107][4600/5005] Time 0.207 (0.209) Data 0.041 (0.048) Loss 2.0472 (2.2949) Prec@1 51.172 (47.459) Prec@5 77.734 (72.852)
Epoch: [107][4610/5005] Time 0.209 (0.209) Data 0.043 (0.048) Loss 2.0433 (2.2949) Prec@1 53.125 (47.461) Prec@5 78.516 (72.852)
Epoch: [107][4620/5005] Time 0.208 (0.209) Data 0.041 (0.048) Loss 2.1654 (2.2948) Prec@1 50.391 (47.462) Prec@5 76.562 (72.853)
Epoch: [107][4630/5005] Time 0.211 (0.209) Data 0.045 (0.048) Loss 2.1303 (2.2947) Prec@1 51.953 (47.465) Prec@5 76.562 (72.855)
Epoch: [107][4640/5005] Time 0.207 (0.209) Data 0.043 (0.048) Loss 2.3356 (2.2946) Prec@1 48.828 (47.467) Prec@5 71.875 (72.855)
Epoch: [107][4650/5005] Time 0.207 (0.209) Data 0.043 (0.048) Loss 2.3470 (2.2946) Prec@1 46.094 (47.469) Prec@5 70.703 (72.855)
Epoch: [107][4660/5005] Time 0.209 (0.209) Data 0.043 (0.048) Loss 2.5917 (2.2946) Prec@1 39.062 (47.470) Prec@5 66.016 (72.854)
Epoch: [107][4670/5005] Time 0.209 (0.209) Data 0.043 (0.048) Loss 2.1840 (2.2945) Prec@1 46.094 (47.469) Prec@5 75.391 (72.855)
Epoch: [107][4680/5005] Time 0.211 (0.209) Data 0.044 (0.048) Loss 2.2234 (2.2945) Prec@1 46.484 (47.467) Prec@5 75.781 (72.856)
Epoch: [107][4690/5005] Time 0.206 (0.209) Data 0.042 (0.048) Loss 2.2725 (2.2945) Prec@1 45.703 (47.466) Prec@5 72.266 (72.857)
Epoch: [107][4700/5005] Time 0.210 (0.209) Data 0.043 (0.048) Loss 2.2427 (2.2945) Prec@1 50.000 (47.468) Prec@5 75.000 (72.858)
Epoch: [107][4710/5005] Time 0.208 (0.209) Data 0.043 (0.048) Loss 2.2147 (2.2943) Prec@1 48.828 (47.472) Prec@5 74.219 (72.860)
Epoch: [107][4720/5005] Time 0.209 (0.209) Data 0.044 (0.048) Loss 2.1257 (2.2942) Prec@1 53.125 (47.471) Prec@5 73.438 (72.860)
Epoch: [107][4730/5005] Time 0.206 (0.209) Data 0.043 (0.048) Loss 2.3102 (2.2945) Prec@1 50.781 (47.470) Prec@5 73.828 (72.857)
Epoch: [107][4740/5005] Time 0.208 (0.209) Data 0.044 (0.048) Loss 2.2763 (2.2944) Prec@1 45.703 (47.470) Prec@5 74.609 (72.859)
Epoch: [107][4750/5005] Time 0.209 (0.209) Data 0.046 (0.048) Loss 2.1659 (2.2943) Prec@1 48.047 (47.469) Prec@5 72.656 (72.860)
Epoch: [107][4760/5005] Time 0.206 (0.209) Data 0.042 (0.048) Loss 2.4621 (2.2941) Prec@1 42.578 (47.472) Prec@5 73.047 (72.863)
Epoch: [107][4770/5005] Time 0.210 (0.209) Data 0.044 (0.048) Loss 2.2237 (2.2940) Prec@1 50.391 (47.474) Prec@5 74.219 (72.865)
Epoch: [107][4780/5005] Time 0.205 (0.209) Data 0.044 (0.048) Loss 2.2340 (2.2940) Prec@1 50.391 (47.476) Prec@5 73.047 (72.866)
Epoch: [107][4790/5005] Time 0.214 (0.209) Data 0.043 (0.048) Loss 2.4924 (2.2940) Prec@1 44.141 (47.476) Prec@5 67.188 (72.865)
Epoch: [107][4800/5005] Time 0.205 (0.209) Data 0.047 (0.048) Loss 2.3565 (2.2939) Prec@1 46.484 (47.478) Prec@5 71.484 (72.865)
Epoch: [107][4810/5005] Time 0.209 (0.209) Data 0.049 (0.048) Loss 2.4345 (2.2939) Prec@1 44.141 (47.479) Prec@5 70.312 (72.866)
Epoch: [107][4820/5005] Time 0.194 (0.209) Data 0.056 (0.048) Loss 2.3755 (2.2938) Prec@1 47.656 (47.481) Prec@5 71.875 (72.865)
Epoch: [107][4830/5005] Time 0.195 (0.209) Data 0.042 (0.048) Loss 2.4254 (2.2937) Prec@1 46.875 (47.484) Prec@5 67.578 (72.867)
Epoch: [107][4840/5005] Time 0.204 (0.209) Data 0.044 (0.048) Loss 2.0275 (2.2938) Prec@1 48.828 (47.481) Prec@5 77.344 (72.867)
Epoch: [107][4850/5005] Time 0.209 (0.209) Data 0.043 (0.048) Loss 2.2592 (2.2939) Prec@1 48.438 (47.477) Prec@5 71.094 (72.864)
Epoch: [107][4860/5005] Time 0.206 (0.209) Data 0.042 (0.048) Loss 2.2734 (2.2939) Prec@1 47.266 (47.478) Prec@5 72.656 (72.863)
Epoch: [107][4870/5005] Time 0.211 (0.209) Data 0.044 (0.048) Loss 2.1908 (2.2940) Prec@1 50.000 (47.480) Prec@5 74.219 (72.860)
Epoch: [107][4880/5005] Time 0.205 (0.209) Data 0.047 (0.048) Loss 2.1548 (2.2939) Prec@1 49.609 (47.483) Prec@5 76.172 (72.864)
Epoch: [107][4890/5005] Time 0.211 (0.209) Data 0.047 (0.048) Loss 2.3452 (2.2937) Prec@1 48.047 (47.485) Prec@5 71.484 (72.866)
Epoch: [107][4900/5005] Time 0.211 (0.209) Data 0.043 (0.048) Loss 2.1479 (2.2937) Prec@1 50.000 (47.486) Prec@5 75.000 (72.867)
Epoch: [107][4910/5005] Time 0.209 (0.209) Data 0.049 (0.048) Loss 2.3762 (2.2935) Prec@1 47.266 (47.488) Prec@5 75.391 (72.870)
Epoch: [107][4920/5005] Time 0.217 (0.209) Data 0.043 (0.048) Loss 2.3113 (2.2936) Prec@1 45.312 (47.488) Prec@5 71.875 (72.869)
Epoch: [107][4930/5005] Time 0.204 (0.209) Data 0.040 (0.048) Loss 2.5095 (2.2935) Prec@1 46.484 (47.487) Prec@5 66.016 (72.869)
Epoch: [107][4940/5005] Time 0.204 (0.209) Data 0.048 (0.048) Loss 2.2566 (2.2935) Prec@1 48.047 (47.485) Prec@5 71.094 (72.868)
Epoch: [107][4950/5005] Time 0.199 (0.209) Data 0.054 (0.048) Loss 2.0694 (2.2936) Prec@1 50.391 (47.483) Prec@5 75.781 (72.869)
Epoch: [107][4960/5005] Time 0.206 (0.209) Data 0.060 (0.048) Loss 2.4384 (2.2936) Prec@1 45.312 (47.486) Prec@5 71.484 (72.869)
Epoch: [107][4970/5005] Time 0.211 (0.209) Data 0.044 (0.048) Loss 2.3126 (2.2934) Prec@1 48.047 (47.488) Prec@5 74.219 (72.873)
Epoch: [107][4980/5005] Time 0.189 (0.209) Data 0.042 (0.048) Loss 2.2885 (2.2933) Prec@1 48.438 (47.491) Prec@5 74.219 (72.876)
Epoch: [107][4990/5005] Time 0.201 (0.209) Data 0.025 (0.048) Loss 2.3656 (2.2932) Prec@1 46.484 (47.489) Prec@5 68.750 (72.876)
Epoch: [107][5000/5005] Time 0.207 (0.209) Data 0.022 (0.048) Loss 2.3503 (2.2932) Prec@1 45.703 (47.489) Prec@5 71.875 (72.875)
Test: [0/196] Time 1.859 (1.859) Loss 2.4084 (2.4084) Prec@1 48.047 (48.047) Prec@5 71.094 (71.094)
Test: [10/196] Time 0.044 (0.295) Loss 2.4757 (2.5526) Prec@1 45.312 (43.928) Prec@5 73.828 (69.567)
Test: [20/196] Time 0.044 (0.233) Loss 2.4243 (2.5475) Prec@1 44.141 (43.694) Prec@5 72.656 (69.754)
Test: [30/196] Time 0.042 (0.209) Loss 2.4577 (2.5492) Prec@1 43.750 (43.473) Prec@5 71.875 (69.619)
Test: [40/196] Time 1.187 (0.221) Loss 2.2522 (2.5418) Prec@1 52.734 (43.874) Prec@5 75.000 (69.731)
Test: [50/196] Time 0.044 (0.205) Loss 2.6134 (2.5463) Prec@1 43.750 (43.750) Prec@5 71.484 (69.746)
Test: [60/196] Time 0.046 (0.197) Loss 2.4311 (2.5306) Prec@1 47.266 (44.173) Prec@5 71.875 (69.864)
Test: [70/196] Time 0.042 (0.190) Loss 2.4950 (2.5243) Prec@1 46.875 (44.289) Prec@5 67.969 (69.933)
Test: [80/196] Time 0.044 (0.185) Loss 2.4000 (2.5317) Prec@1 50.391 (44.256) Prec@5 75.000 (69.777)
Test: [90/196] Time 0.685 (0.188) Loss 2.6156 (2.5342) Prec@1 44.531 (44.265) Prec@5 68.359 (69.827)
Test: [100/196] Time 0.816 (0.190) Loss 2.5441 (2.5305) Prec@1 46.875 (44.504) Prec@5 67.188 (69.872)
Test: [110/196] Time 0.074 (0.182) Loss 2.6819 (2.5319) Prec@1 42.188 (44.612) Prec@5 66.406 (69.841)
Test: [120/196] Time 0.085 (0.180) Loss 2.3911 (2.5285) Prec@1 44.141 (44.702) Prec@5 73.828 (69.873)
Test: [130/196] Time 0.752 (0.184) Loss 2.2414 (2.5244) Prec@1 46.875 (44.806) Prec@5 74.219 (69.940)
Test: [140/196] Time 0.202 (0.184) Loss 2.3643 (2.5266) Prec@1 49.609 (44.684) Prec@5 69.531 (69.830)
Test: [150/196] Time 0.044 (0.184) Loss 2.1712 (2.5252) Prec@1 49.609 (44.681) Prec@5 79.297 (69.922)
Test: [160/196] Time 0.110 (0.179) Loss 2.4690 (2.5238) Prec@1 48.828 (44.667) Prec@5 70.312 (69.907)
Test: [170/196] Time 0.044 (0.178) Loss 2.4469 (2.5273) Prec@1 46.484 (44.609) Prec@5 73.438 (69.858)
Test: [180/196] Time 0.675 (0.182) Loss 2.7106 (2.5327) Prec@1 40.625 (44.475) Prec@5 66.016 (69.751)
Test: [190/196] Time 0.254 (0.179) Loss 2.7208 (2.5357) Prec@1 41.016 (44.439) Prec@5 66.797 (69.613)
* Prec@1 44.448 Prec@5 69.628
Learning rate: 1e-07
Epoch: [108][0/5005] Time 1.049 (1.049) Data 0.930 (0.930) Loss 2.1831 (2.1831) Prec@1 53.516 (53.516) Prec@5 76.172 (76.172)
Epoch: [108][10/5005] Time 0.204 (0.283) Data 0.052 (0.130) Loss 2.2164 (2.3383) Prec@1 49.219 (45.952) Prec@5 73.047 (72.940)
Epoch: [108][20/5005] Time 0.206 (0.244) Data 0.068 (0.092) Loss 2.5181 (2.3354) Prec@1 43.359 (45.871) Prec@5 72.266 (72.600)
Epoch: [108][30/5005] Time 0.202 (0.230) Data 0.051 (0.078) Loss 2.1584 (2.2988) Prec@1 50.781 (46.837) Prec@5 73.047 (72.971)
Epoch: [108][40/5005] Time 0.204 (0.223) Data 0.045 (0.072) Loss 2.2630 (2.3014) Prec@1 45.703 (46.951) Prec@5 71.875 (72.990)
Epoch: [108][50/5005] Time 0.199 (0.219) Data 0.052 (0.068) Loss 2.2134 (2.3042) Prec@1 47.656 (46.975) Prec@5 76.953 (72.970)
Epoch: [108][60/5005] Time 0.205 (0.216) Data 0.048 (0.065) Loss 2.2093 (2.3045) Prec@1 45.312 (46.837) Prec@5 75.391 (72.900)
Epoch: [108][70/5005] Time 0.194 (0.213) Data 0.043 (0.062) Loss 2.3119 (2.3126) Prec@1 45.312 (46.743) Prec@5 73.828 (72.794)
Epoch: [108][80/5005] Time 0.203 (0.212) Data 0.045 (0.060) Loss 2.1661 (2.3032) Prec@1 51.562 (46.899) Prec@5 75.781 (72.883)
Epoch: [108][90/5005] Time 0.190 (0.211) Data 0.046 (0.059) Loss 2.3050 (2.3024) Prec@1 47.266 (47.064) Prec@5 73.438 (72.845)
Epoch: [108][100/5005] Time 0.199 (0.210) Data 0.042 (0.057) Loss 2.1678 (2.3038) Prec@1 48.438 (47.006) Prec@5 77.734 (72.865)
Epoch: [108][110/5005] Time 0.188 (0.210) Data 0.053 (0.056) Loss 2.3825 (2.3065) Prec@1 47.266 (47.079) Prec@5 71.484 (72.765)
Epoch: [108][120/5005] Time 0.204 (0.209) Data 0.058 (0.056) Loss 2.4282 (2.3084) Prec@1 42.969 (47.101) Prec@5 71.484 (72.798)
Epoch: [108][130/5005] Time 0.209 (0.208) Data 0.049 (0.056) Loss 2.4191 (2.3106) Prec@1 50.000 (47.125) Prec@5 70.312 (72.790)
Epoch: [108][140/5005] Time 0.211 (0.208) Data 0.048 (0.056) Loss 2.2717 (2.3068) Prec@1 50.391 (47.144) Prec@5 73.047 (72.842)
Epoch: [108][150/5005] Time 0.203 (0.208) Data 0.052 (0.056) Loss 2.3691 (2.3057) Prec@1 46.875 (47.193) Prec@5 70.312 (72.853)
Epoch: [108][160/5005] Time 0.198 (0.208) Data 0.043 (0.055) Loss 2.1715 (2.3067) Prec@1 47.266 (47.224) Prec@5 75.391 (72.819)
Epoch: [108][170/5005] Time 0.211 (0.207) Data 0.045 (0.055) Loss 2.3956 (2.3076) Prec@1 48.828 (47.236) Prec@5 72.656 (72.780)
Epoch: [108][180/5005] Time 0.219 (0.208) Data 0.043 (0.055) Loss 2.5290 (2.3072) Prec@1 44.922 (47.246) Prec@5 67.969 (72.790)
Epoch: [108][190/5005] Time 0.217 (0.209) Data 0.043 (0.054) Loss 2.5398 (2.3121) Prec@1 43.750 (47.145) Prec@5 68.750 (72.728)
Epoch: [108][200/5005] Time 0.219 (0.209) Data 0.042 (0.054) Loss 2.5740 (2.3133) Prec@1 40.234 (47.116) Prec@5 68.359 (72.707)
Epoch: [108][210/5005] Time 0.217 (0.210) Data 0.043 (0.053) Loss 2.2254 (2.3125) Prec@1 46.094 (47.130) Prec@5 74.609 (72.706)
Epoch: [108][220/5005] Time 0.223 (0.210) Data 0.044 (0.053) Loss 2.3615 (2.3116) Prec@1 42.578 (47.126) Prec@5 71.875 (72.734)
Epoch: [108][230/5005] Time 0.211 (0.210) Data 0.041 (0.053) Loss 2.3803 (2.3117) Prec@1 44.531 (47.159) Prec@5 71.875 (72.729)
Epoch: [108][240/5005] Time 0.216 (0.211) Data 0.047 (0.052) Loss 2.2521 (2.3102) Prec@1 46.875 (47.189) Prec@5 74.609 (72.726)
Epoch: [108][250/5005] Time 0.218 (0.211) Data 0.044 (0.052) Loss 2.4775 (2.3090) Prec@1 43.750 (47.273) Prec@5 68.750 (72.750)
Epoch: [108][260/5005] Time 0.202 (0.211) Data 0.049 (0.052) Loss 2.2007 (2.3078) Prec@1 48.438 (47.312) Prec@5 75.000 (72.742)
Epoch: [108][270/5005] Time 0.219 (0.211) Data 0.044 (0.052) Loss 2.2966 (2.3073) Prec@1 49.609 (47.355) Prec@5 72.656 (72.740)
Epoch: [108][280/5005] Time 0.211 (0.211) Data 0.042 (0.051) Loss 2.6746 (2.3099) Prec@1 40.625 (47.291) Prec@5 64.453 (72.652)
Epoch: [108][290/5005] Time 0.220 (0.211) Data 0.043 (0.051) Loss 2.2049 (2.3127) Prec@1 50.000 (47.212) Prec@5 72.656 (72.580)
Epoch: [108][300/5005] Time 0.217 (0.212) Data 0.044 (0.051) Loss 2.0709 (2.3122) Prec@1 47.266 (47.238) Prec@5 75.781 (72.597)
Epoch: [108][310/5005] Time 0.212 (0.212) Data 0.043 (0.051) Loss 2.1262 (2.3086) Prec@1 51.562 (47.297) Prec@5 76.562 (72.655)
Epoch: [108][320/5005] Time 0.205 (0.212) Data 0.041 (0.050) Loss 2.4484 (2.3097) Prec@1 43.750 (47.268) Prec@5 71.094 (72.648)
Epoch: [108][330/5005] Time 0.210 (0.212) Data 0.045 (0.050) Loss 2.0138 (2.3087) Prec@1 52.344 (47.281) Prec@5 78.906 (72.672)
Epoch: [108][340/5005] Time 0.211 (0.212) Data 0.044 (0.050) Loss 2.4303 (2.3109) Prec@1 43.750 (47.230) Prec@5 71.094 (72.634)
Epoch: [108][350/5005] Time 0.208 (0.212) Data 0.049 (0.050) Loss 2.4848 (2.3104) Prec@1 44.531 (47.231) Prec@5 66.406 (72.631)
Epoch: [108][360/5005] Time 0.217 (0.212) Data 0.042 (0.050) Loss 2.4391 (2.3117) Prec@1 46.094 (47.206) Prec@5 68.750 (72.584)
Epoch: [108][370/5005] Time 0.212 (0.212) Data 0.040 (0.049) Loss 2.3212 (2.3093) Prec@1 46.875 (47.227) Prec@5 69.922 (72.618)
Epoch: [108][380/5005] Time 0.210 (0.212) Data 0.051 (0.049) Loss 2.4680 (2.3100) Prec@1 46.875 (47.201) Prec@5 65.625 (72.583)
Epoch: [108][390/5005] Time 0.216 (0.212) Data 0.043 (0.049) Loss 2.1700 (2.3104) Prec@1 51.562 (47.193) Prec@5 75.391 (72.567)
Epoch: [108][400/5005] Time 0.224 (0.212) Data 0.044 (0.049) Loss 2.2775 (2.3103) Prec@1 48.047 (47.215) Prec@5 74.609 (72.562)
Epoch: [108][410/5005] Time 0.215 (0.212) Data 0.042 (0.049) Loss 2.1156 (2.3098) Prec@1 46.875 (47.229) Prec@5 75.781 (72.577)
Epoch: [108][420/5005] Time 0.213 (0.212) Data 0.044 (0.049) Loss 2.1494 (2.3083) Prec@1 51.172 (47.273) Prec@5 77.344 (72.619)
Epoch: [108][430/5005] Time 0.207 (0.212) Data 0.041 (0.049) Loss 2.2178 (2.3083) Prec@1 50.391 (47.291) Prec@5 76.172 (72.636)
Epoch: [108][440/5005] Time 0.210 (0.212) Data 0.043 (0.049) Loss 2.2695 (2.3083) Prec@1 46.875 (47.281) Prec@5 75.391 (72.653)
Epoch: [108][450/5005] Time 0.205 (0.212) Data 0.044 (0.049) Loss 2.2071 (2.3090) Prec@1 47.266 (47.249) Prec@5 74.609 (72.632)
Epoch: [108][460/5005] Time 0.213 (0.212) Data 0.043 (0.048) Loss 2.2374 (2.3092) Prec@1 46.094 (47.210) Prec@5 72.656 (72.633)
Epoch: [108][470/5005] Time 0.203 (0.212) Data 0.044 (0.048) Loss 2.3176 (2.3108) Prec@1 44.922 (47.196) Prec@5 71.875 (72.586)
Epoch: [108][480/5005] Time 0.205 (0.212) Data 0.044 (0.048) Loss 2.4410 (2.3117) Prec@1 44.531 (47.180) Prec@5 69.922 (72.551)
Epoch: [108][490/5005] Time 0.206 (0.212) Data 0.048 (0.048) Loss 2.2507 (2.3115) Prec@1 49.609 (47.188) Prec@5 73.438 (72.572)
Epoch: [108][500/5005] Time 0.204 (0.212) Data 0.052 (0.048) Loss 2.4616 (2.3138) Prec@1 45.703 (47.171) Prec@5 69.922 (72.539)
Epoch: [108][510/5005] Time 0.207 (0.212) Data 0.064 (0.049) Loss 2.5666 (2.3140) Prec@1 40.234 (47.163) Prec@5 68.359 (72.529)
Epoch: [108][520/5005] Time 0.206 (0.212) Data 0.050 (0.049) Loss 2.4476 (2.3136) Prec@1 43.359 (47.161) Prec@5 69.531 (72.545)
Epoch: [108][530/5005] Time 0.212 (0.212) Data 0.063 (0.049) Loss 2.2307 (2.3128) Prec@1 47.656 (47.184) Prec@5 73.438 (72.557)
Epoch: [108][540/5005] Time 0.206 (0.212) Data 0.049 (0.049) Loss 2.4119 (2.3138) Prec@1 45.312 (47.163) Prec@5 69.141 (72.521)
Epoch: [108][550/5005] Time 0.201 (0.212) Data 0.054 (0.049) Loss 2.2518 (2.3135) Prec@1 49.219 (47.170) Prec@5 74.219 (72.518)
Epoch: [108][560/5005] Time 0.211 (0.212) Data 0.047 (0.049) Loss 2.2515 (2.3131) Prec@1 49.609 (47.172) Prec@5 74.609 (72.532)
Epoch: [108][570/5005] Time 0.199 (0.212) Data 0.052 (0.049) Loss 2.3167 (2.3137) Prec@1 49.219 (47.159) Prec@5 71.484 (72.521)
Epoch: [108][580/5005] Time 0.211 (0.212) Data 0.046 (0.049) Loss 2.3464 (2.3133) Prec@1 47.266 (47.160) Prec@5 69.531 (72.526)
Epoch: [108][590/5005] Time 0.221 (0.212) Data 0.047 (0.049) Loss 2.3881 (2.3134) Prec@1 45.703 (47.174) Prec@5 73.828 (72.525)
Epoch: [108][600/5005] Time 0.218 (0.212) Data 0.043 (0.049) Loss 2.3136 (2.3146) Prec@1 49.609 (47.153) Prec@5 73.047 (72.507)
Epoch: [108][610/5005] Time 0.201 (0.212) Data 0.054 (0.049) Loss 2.2818 (2.3147) Prec@1 48.047 (47.145) Prec@5 69.922 (72.507)
Epoch: [108][620/5005] Time 0.202 (0.212) Data 0.051 (0.049) Loss 2.3157 (2.3146) Prec@1 48.047 (47.152) Prec@5 73.047 (72.510)
Epoch: [108][630/5005] Time 0.215 (0.212) Data 0.050 (0.049) Loss 2.4772 (2.3144) Prec@1 46.484 (47.166) Prec@5 72.656 (72.529)
Epoch: [108][640/5005] Time 0.206 (0.212) Data 0.047 (0.049) Loss 2.2308 (2.3141) Prec@1 46.875 (47.172) Prec@5 72.656 (72.532)
Epoch: [108][650/5005] Time 0.196 (0.212) Data 0.045 (0.049) Loss 2.4313 (2.3153) Prec@1 44.141 (47.146) Prec@5 67.969 (72.501)
Epoch: [108][660/5005] Time 0.201 (0.211) Data 0.043 (0.049) Loss 2.3814 (2.3140) Prec@1 47.266 (47.182) Prec@5 72.656 (72.525)
Epoch: [108][670/5005] Time 0.210 (0.211) Data 0.048 (0.049) Loss 2.4903 (2.3142) Prec@1 43.359 (47.180) Prec@5 70.703 (72.528)
Epoch: [108][680/5005] Time 0.217 (0.211) Data 0.043 (0.049) Loss 2.2221 (2.3136) Prec@1 53.516 (47.210) Prec@5 73.828 (72.525)
Epoch: [108][690/5005] Time 0.214 (0.211) Data 0.049 (0.048) Loss 2.1406 (2.3126) Prec@1 51.562 (47.223) Prec@5 79.297 (72.531)
Epoch: [108][700/5005] Time 0.215 (0.211) Data 0.046 (0.049) Loss 2.2600 (2.3125) Prec@1 48.047 (47.216) Prec@5 72.266 (72.532)
Epoch: [108][710/5005] Time 0.213 (0.211) Data 0.044 (0.049) Loss 2.1882 (2.3128) Prec@1 48.047 (47.208) Prec@5 73.047 (72.521)
Epoch: [108][720/5005] Time 0.211 (0.211) Data 0.041 (0.048) Loss 2.2815 (2.3118) Prec@1 48.047 (47.232) Prec@5 73.047 (72.539)
Epoch: [108][730/5005] Time 0.215 (0.211) Data 0.043 (0.048) Loss 2.3667 (2.3123) Prec@1 46.875 (47.234) Prec@5 70.703 (72.538)
Epoch: [108][740/5005] Time 0.205 (0.212) Data 0.041 (0.048) Loss 2.3892 (2.3120) Prec@1 48.047 (47.248) Prec@5 68.359 (72.531)
Epoch: [108][750/5005] Time 0.214 (0.212) Data 0.042 (0.048) Loss 2.1503 (2.3117) Prec@1 48.438 (47.247) Prec@5 76.562 (72.537)
Epoch: [108][760/5005] Time 0.217 (0.212) Data 0.044 (0.048) Loss 2.4083 (2.3119) Prec@1 45.703 (47.240) Prec@5 71.094 (72.534)
Epoch: [108][770/5005] Time 0.210 (0.212) Data 0.044 (0.048) Loss 2.3263 (2.3110) Prec@1 43.359 (47.256) Prec@5 71.875 (72.555)
Epoch: [108][780/5005] Time 0.213 (0.212) Data 0.044 (0.048) Loss 2.2725 (2.3105) Prec@1 45.703 (47.245) Prec@5 73.438 (72.556)
Epoch: [108][790/5005] Time 0.221 (0.212) Data 0.044 (0.048) Loss 2.2210 (2.3103) Prec@1 50.391 (47.263) Prec@5 70.312 (72.558)
Epoch: [108][800/5005] Time 0.212 (0.212) Data 0.044 (0.048) Loss 2.2590 (2.3091) Prec@1 46.484 (47.289) Prec@5 73.047 (72.592)
Epoch: [108][810/5005] Time 0.214 (0.212) Data 0.043 (0.048) Loss 2.3131 (2.3093) Prec@1 48.047 (47.291) Prec@5 75.000 (72.597)
Epoch: [108][820/5005] Time 0.211 (0.212) Data 0.046 (0.048) Loss 2.5776 (2.3096) Prec@1 45.312 (47.287) Prec@5 67.969 (72.592)
Epoch: [108][830/5005] Time 0.215 (0.212) Data 0.042 (0.048) Loss 2.1535 (2.3096) Prec@1 48.047 (47.276) Prec@5 75.781 (72.590)
Epoch: [108][840/5005] Time 0.215 (0.212) Data 0.046 (0.048) Loss 2.3718 (2.3097) Prec@1 46.484 (47.274) Prec@5 70.703 (72.594)
Epoch: [108][850/5005] Time 0.212 (0.212) Data 0.046 (0.048) Loss 2.4267 (2.3097) Prec@1 46.875 (47.269) Prec@5 69.922 (72.588)
Epoch: [108][860/5005] Time 0.214 (0.212) Data 0.043 (0.048) Loss 2.3439 (2.3102) Prec@1 42.969 (47.255) Prec@5 72.266 (72.574)
Epoch: [108][870/5005] Time 0.211 (0.212) Data 0.045 (0.048) Loss 2.3540 (2.3099) Prec@1 45.312 (47.266) Prec@5 71.875 (72.579)
Epoch: [108][880/5005] Time 0.215 (0.212) Data 0.045 (0.048) Loss 2.3316 (2.3105) Prec@1 51.953 (47.274) Prec@5 71.875 (72.563)
Epoch: [108][890/5005] Time 0.213 (0.212) Data 0.044 (0.048) Loss 2.6158 (2.3101) Prec@1 42.188 (47.274) Prec@5 66.797 (72.569)
Epoch: [108][900/5005] Time 0.209 (0.212) Data 0.044 (0.048) Loss 2.2530 (2.3099) Prec@1 44.531 (47.263) Prec@5 74.609 (72.577)
Epoch: [108][910/5005] Time 0.216 (0.212) Data 0.044 (0.048) Loss 2.3075 (2.3095) Prec@1 49.219 (47.262) Prec@5 75.781 (72.581)
Epoch: [108][920/5005] Time 0.212 (0.212) Data 0.041 (0.048) Loss 2.3067 (2.3088) Prec@1 48.438 (47.283) Prec@5 75.391 (72.599)
Epoch: [108][930/5005] Time 0.213 (0.212) Data 0.040 (0.048) Loss 2.2510 (2.3085) Prec@1 50.391 (47.293) Prec@5 72.656 (72.608)
Epoch: [108][940/5005] Time 0.208 (0.212) Data 0.057 (0.048) Loss 2.1233 (2.3084) Prec@1 47.656 (47.285) Prec@5 75.000 (72.621)
Epoch: [108][950/5005] Time 0.206 (0.212) Data 0.052 (0.048) Loss 2.4438 (2.3088) Prec@1 44.922 (47.286) Prec@5 70.703 (72.618)
Epoch: [108][960/5005] Time 0.216 (0.212) Data 0.041 (0.048) Loss 2.4920 (2.3088) Prec@1 45.312 (47.277) Prec@5 69.141 (72.623)
Epoch: [108][970/5005] Time 0.210 (0.212) Data 0.049 (0.048) Loss 2.1232 (2.3087) Prec@1 49.219 (47.270) Prec@5 75.781 (72.629)
Epoch: [108][980/5005] Time 0.197 (0.212) Data 0.046 (0.048) Loss 2.1916 (2.3080) Prec@1 50.391 (47.279) Prec@5 69.922 (72.640)
Epoch: [108][990/5005] Time 0.210 (0.212) Data 0.051 (0.048) Loss 2.4326 (2.3086) Prec@1 44.141 (47.257) Prec@5 72.656 (72.637)
Epoch: [108][1000/5005] Time 0.217 (0.212) Data 0.043 (0.048) Loss 2.2615 (2.3084) Prec@1 48.047 (47.271) Prec@5 74.219 (72.642)
Epoch: [108][1010/5005] Time 0.200 (0.212) Data 0.050 (0.048) Loss 2.3408 (2.3081) Prec@1 50.000 (47.276) Prec@5 71.875 (72.649)
Epoch: [108][1020/5005] Time 0.200 (0.213) Data 0.043 (0.048) Loss 2.1440 (2.3087) Prec@1 51.562 (47.260) Prec@5 73.438 (72.636)
Epoch: [108][1030/5005] Time 0.198 (0.213) Data 0.047 (0.048) Loss 2.0912 (2.3084) Prec@1 50.000 (47.253) Prec@5 75.781 (72.638)
Epoch: [108][1040/5005] Time 0.210 (0.213) Data 0.051 (0.048) Loss 2.4602 (2.3087) Prec@1 42.188 (47.233) Prec@5 71.094 (72.637)
Epoch: [108][1050/5005] Time 0.193 (0.213) Data 0.058 (0.048) Loss 2.3281 (2.3089) Prec@1 49.219 (47.230) Prec@5 71.484 (72.634)
Epoch: [108][1060/5005] Time 0.202 (0.213) Data 0.046 (0.048) Loss 2.3469 (2.3094) Prec@1 48.438 (47.226) Prec@5 74.609 (72.632)
Epoch: [108][1070/5005] Time 0.207 (0.212) Data 0.048 (0.048) Loss 2.3789 (2.3095) Prec@1 45.703 (47.214) Prec@5 74.219 (72.635)
Epoch: [108][1080/5005] Time 0.201 (0.212) Data 0.047 (0.048) Loss 2.4262 (2.3098) Prec@1 41.797 (47.211) Prec@5 68.359 (72.634)
Epoch: [108][1090/5005] Time 0.203 (0.212) Data 0.046 (0.048) Loss 2.1944 (2.3093) Prec@1 49.609 (47.219) Prec@5 75.781 (72.640)
Epoch: [108][1100/5005] Time 0.212 (0.212) Data 0.046 (0.048) Loss 2.3085 (2.3087) Prec@1 49.609 (47.226) Prec@5 70.312 (72.646)
Epoch: [108][1110/5005] Time 0.213 (0.212) Data 0.045 (0.048) Loss 2.2643 (2.3088) Prec@1 46.094 (47.213) Prec@5 74.609 (72.651)
Epoch: [108][1120/5005] Time 0.203 (0.212) Data 0.043 (0.048) Loss 2.2262 (2.3080) Prec@1 49.609 (47.228) Prec@5 73.828 (72.668)
Epoch: [108][1130/5005] Time 0.210 (0.212) Data 0.042 (0.047) Loss 2.3896 (2.3082) Prec@1 43.750 (47.225) Prec@5 73.438 (72.668)
Epoch: [108][1140/5005] Time 0.211 (0.212) Data 0.044 (0.047) Loss 2.2970 (2.3082) Prec@1 46.875 (47.223) Prec@5 73.828 (72.676)
Epoch: [108][1150/5005] Time 0.211 (0.212) Data 0.043 (0.047) Loss 2.3033 (2.3079) Prec@1 37.109 (47.217) Prec@5 74.219 (72.683)
Epoch: [108][1160/5005] Time 0.212 (0.212) Data 0.044 (0.047) Loss 2.3826 (2.3081) Prec@1 45.703 (47.216) Prec@5 68.359 (72.678)
Epoch: [108][1170/5005] Time 0.220 (0.212) Data 0.046 (0.047) Loss 2.2881 (2.3079) Prec@1 47.266 (47.221) Prec@5 73.047 (72.673)
Epoch: [108][1180/5005] Time 0.199 (0.212) Data 0.044 (0.047) Loss 2.3790 (2.3077) Prec@1 45.312 (47.218) Prec@5 68.750 (72.670)
Epoch: [108][1190/5005] Time 0.209 (0.212) Data 0.042 (0.047) Loss 2.1675 (2.3072) Prec@1 50.000 (47.227) Prec@5 73.828 (72.678)
Epoch: [108][1200/5005] Time 0.212 (0.212) Data 0.046 (0.047) Loss 2.5323 (2.3073) Prec@1 45.312 (47.221) Prec@5 66.406 (72.673)
Epoch: [108][1210/5005] Time 0.203 (0.212) Data 0.046 (0.047) Loss 2.3586 (2.3077) Prec@1 46.094 (47.211) Prec@5 69.141 (72.670)
Epoch: [108][1220/5005] Time 0.207 (0.212) Data 0.049 (0.047) Loss 2.3228 (2.3081) Prec@1 44.531 (47.209) Prec@5 74.609 (72.670)
Epoch: [108][1230/5005] Time 0.205 (0.212) Data 0.045 (0.047) Loss 2.2613 (2.3081) Prec@1 48.828 (47.202) Prec@5 73.438 (72.670)
Epoch: [108][1240/5005] Time 0.208 (0.212) Data 0.045 (0.047) Loss 2.2672 (2.3080) Prec@1 46.484 (47.206) Prec@5 72.656 (72.665)
Epoch: [108][1250/5005] Time 0.205 (0.212) Data 0.049 (0.047) Loss 2.3478 (2.3086) Prec@1 49.219 (47.191) Prec@5 71.094 (72.655)
Epoch: [108][1260/5005] Time 0.206 (0.212) Data 0.046 (0.048) Loss 1.9909 (2.3079) Prec@1 55.078 (47.204) Prec@5 76.562 (72.668)
Epoch: [108][1270/5005] Time 0.205 (0.212) Data 0.061 (0.048) Loss 2.4462 (2.3085) Prec@1 44.531 (47.196) Prec@5 71.484 (72.657)
Epoch: [108][1280/5005] Time 0.208 (0.212) Data 0.064 (0.048) Loss 2.2947 (2.3088) Prec@1 48.438 (47.192) Prec@5 72.656 (72.653)
Epoch: [108][1290/5005] Time 0.203 (0.212) Data 0.060 (0.048) Loss 2.0449 (2.3085) Prec@1 52.344 (47.199) Prec@5 75.391 (72.653)
Epoch: [108][1300/5005] Time 0.212 (0.212) Data 0.045 (0.048) Loss 2.2411 (2.3082) Prec@1 49.219 (47.206) Prec@5 73.047 (72.654)
Epoch: [108][1310/5005] Time 0.208 (0.212) Data 0.041 (0.048) Loss 2.3011 (2.3084) Prec@1 44.141 (47.205) Prec@5 70.703 (72.654)
Epoch: [108][1320/5005] Time 0.201 (0.212) Data 0.058 (0.048) Loss 2.3331 (2.3083) Prec@1 52.344 (47.220) Prec@5 72.266 (72.659)
Epoch: [108][1330/5005] Time 0.200 (0.212) Data 0.055 (0.048) Loss 2.3283 (2.3086) Prec@1 48.047 (47.215) Prec@5 71.094 (72.657)
Epoch: [108][1340/5005] Time 0.196 (0.212) Data 0.053 (0.048) Loss 2.2156 (2.3086) Prec@1 48.828 (47.223) Prec@5 71.094 (72.652)
Epoch: [108][1350/5005] Time 0.191 (0.212) Data 0.050 (0.048) Loss 2.6644 (2.3089) Prec@1 42.188 (47.223) Prec@5 68.750 (72.645)
Epoch: [108][1360/5005] Time 0.211 (0.212) Data 0.049 (0.048) Loss 2.2483 (2.3090) Prec@1 49.219 (47.230) Prec@5 72.266 (72.635)
Epoch: [108][1370/5005] Time 0.216 (0.212) Data 0.052 (0.048) Loss 2.4060 (2.3085) Prec@1 47.656 (47.243) Prec@5 71.094 (72.647)
Epoch: [108][1380/5005] Time 0.212 (0.212) Data 0.049 (0.048) Loss 2.3179 (2.3083) Prec@1 46.875 (47.250) Prec@5 73.047 (72.651)
Epoch: [108][1390/5005] Time 0.210 (0.212) Data 0.045 (0.048) Loss 2.2211 (2.3083) Prec@1 49.609 (47.255) Prec@5 71.875 (72.646)
Epoch: [108][1400/5005] Time 0.209 (0.212) Data 0.047 (0.048) Loss 2.3767 (2.3076) Prec@1 44.531 (47.264) Prec@5 72.656 (72.654)
Epoch: [108][1410/5005] Time 0.215 (0.212) Data 0.048 (0.048) Loss 2.2277 (2.3072) Prec@1 50.000 (47.280) Prec@5 73.438 (72.660)
Epoch: [108][1420/5005] Time 0.224 (0.212) Data 0.047 (0.048) Loss 2.4429 (2.3071) Prec@1 48.828 (47.283) Prec@5 69.922 (72.662)
Epoch: [108][1430/5005] Time 0.204 (0.212) Data 0.051 (0.048) Loss 2.0090 (2.3066) Prec@1 50.781 (47.297) Prec@5 77.344 (72.667)
Epoch: [108][1440/5005] Time 0.211 (0.212) Data 0.052 (0.048) Loss 2.0236 (2.3064) Prec@1 51.172 (47.297) Prec@5 79.297 (72.667)
Epoch: [108][1450/5005] Time 0.200 (0.212) Data 0.048 (0.048) Loss 2.2459 (2.3064) Prec@1 51.172 (47.298) Prec@5 72.656 (72.662)
Epoch: [108][1460/5005] Time 0.208 (0.212) Data 0.063 (0.048) Loss 2.3084 (2.3064) Prec@1 46.094 (47.299) Prec@5 69.531 (72.652)
Epoch: [108][1470/5005] Time 0.222 (0.212) Data 0.046 (0.048) Loss 2.3427 (2.3066) Prec@1 46.094 (47.307) Prec@5 72.656 (72.648)
Epoch: [108][1480/5005] Time 0.212 (0.212) Data 0.044 (0.048) Loss 2.1372 (2.3067) Prec@1 52.344 (47.306) Prec@5 76.562 (72.649)
Epoch: [108][1490/5005] Time 0.218 (0.211) Data 0.042 (0.048) Loss 2.5547 (2.3064) Prec@1 44.922 (47.313) Prec@5 69.922 (72.657)
Epoch: [108][1500/5005] Time 0.208 (0.211) Data 0.042 (0.048) Loss 2.2040 (2.3064) Prec@1 50.781 (47.317) Prec@5 70.703 (72.661)
Epoch: [108][1510/5005] Time 0.208 (0.211) Data 0.043 (0.048) Loss 2.1541 (2.3062) Prec@1 48.047 (47.324) Prec@5 75.391 (72.666)
Epoch: [108][1520/5005] Time 0.207 (0.211) Data 0.044 (0.048) Loss 2.3147 (2.3060) Prec@1 46.484 (47.319) Prec@5 72.656 (72.668)
Epoch: [108][1530/5005] Time 0.211 (0.211) Data 0.049 (0.048) Loss 2.4250 (2.3060) Prec@1 45.312 (47.312) Prec@5 70.703 (72.668)
Epoch: [108][1540/5005] Time 0.213 (0.211) Data 0.043 (0.048) Loss 2.3753 (2.3063) Prec@1 45.703 (47.307) Prec@5 67.578 (72.659)
Epoch: [108][1550/5005] Time 0.198 (0.211) Data 0.052 (0.048) Loss 2.1958 (2.3061) Prec@1 51.953 (47.308) Prec@5 73.828 (72.661)
Epoch: [108][1560/5005] Time 0.213 (0.211) Data 0.046 (0.048) Loss 2.1741 (2.3063) Prec@1 48.047 (47.307) Prec@5 72.266 (72.659)
Epoch: [108][1570/5005] Time 0.211 (0.211) Data 0.044 (0.048) Loss 2.2256 (2.3064) Prec@1 48.828 (47.311) Prec@5 75.000 (72.659)
Epoch: [108][1580/5005] Time 0.217 (0.211) Data 0.044 (0.048) Loss 2.2243 (2.3066) Prec@1 45.703 (47.301) Prec@5 76.172 (72.661)
Epoch: [108][1590/5005] Time 0.217 (0.211) Data 0.046 (0.048) Loss 2.2843 (2.3067) Prec@1 49.219 (47.296) Prec@5 71.875 (72.659)
Epoch: [108][1600/5005] Time 0.209 (0.211) Data 0.045 (0.048) Loss 2.3189 (2.3069) Prec@1 46.094 (47.288) Prec@5 73.438 (72.656)
Epoch: [108][1610/5005] Time 0.210 (0.211) Data 0.050 (0.048) Loss 2.3680 (2.3068) Prec@1 49.219 (47.296) Prec@5 74.609 (72.658)
Epoch: [108][1620/5005] Time 0.210 (0.211) Data 0.051 (0.048) Loss 2.6076 (2.3068) Prec@1 41.016 (47.293) Prec@5 67.969 (72.660)
Epoch: [108][1630/5005] Time 0.204 (0.211) Data 0.046 (0.048) Loss 2.1869 (2.3067) Prec@1 52.344 (47.297) Prec@5 73.828 (72.659)
Epoch: [108][1640/5005] Time 0.211 (0.211) Data 0.043 (0.048) Loss 2.4538 (2.3070) Prec@1 44.141 (47.293) Prec@5 72.266 (72.656)
Epoch: [108][1650/5005] Time 0.209 (0.211) Data 0.051 (0.048) Loss 2.5131 (2.3071) Prec@1 44.531 (47.290) Prec@5 66.797 (72.655)
Epoch: [108][1660/5005] Time 0.211 (0.211) Data 0.046 (0.048) Loss 2.3011 (2.3066) Prec@1 48.047 (47.301) Prec@5 73.438 (72.661)
Epoch: [108][1670/5005] Time 0.215 (0.211) Data 0.044 (0.048) Loss 2.0816 (2.3067) Prec@1 50.781 (47.296) Prec@5 74.219 (72.656)
Epoch: [108][1680/5005] Time 0.211 (0.211) Data 0.045 (0.048) Loss 2.5019 (2.3071) Prec@1 44.922 (47.285) Prec@5 73.047 (72.650)
Epoch: [108][1690/5005] Time 0.196 (0.211) Data 0.042 (0.048) Loss 2.2298 (2.3068) Prec@1 44.531 (47.290) Prec@5 73.047 (72.659)
Epoch: [108][1700/5005] Time 0.223 (0.211) Data 0.048 (0.048) Loss 2.2540 (2.3062) Prec@1 46.875 (47.296) Prec@5 73.438 (72.666)
Epoch: [108][1710/5005] Time 0.206 (0.211) Data 0.055 (0.048) Loss 2.2041 (2.3058) Prec@1 49.219 (47.304) Prec@5 71.484 (72.675)
Epoch: [108][1720/5005] Time 0.203 (0.211) Data 0.053 (0.048) Loss 2.3811 (2.3059) Prec@1 44.922 (47.297) Prec@5 70.312 (72.675)
Epoch: [108][1730/5005] Time 0.202 (0.211) Data 0.042 (0.048) Loss 2.2463 (2.3057) Prec@1 46.094 (47.293) Prec@5 75.781 (72.678)
Epoch: [108][1740/5005] Time 0.206 (0.211) Data 0.047 (0.048) Loss 2.5016 (2.3054) Prec@1 44.141 (47.301) Prec@5 68.750 (72.687)
Epoch: [108][1750/5005] Time 0.211 (0.211) Data 0.047 (0.048) Loss 2.1667 (2.3050) Prec@1 47.656 (47.303) Prec@5 74.219 (72.692)
Epoch: [108][1760/5005] Time 0.210 (0.211) Data 0.043 (0.048) Loss 1.9938 (2.3047) Prec@1 53.906 (47.311) Prec@5 79.688 (72.699)
Epoch: [108][1770/5005] Time 0.207 (0.211) Data 0.046 (0.048) Loss 2.3070 (2.3045) Prec@1 47.266 (47.315) Prec@5 72.656 (72.704)
Epoch: [108][1780/5005] Time 0.210 (0.211) Data 0.040 (0.048) Loss 2.1521 (2.3042) Prec@1 48.047 (47.318) Prec@5 75.000 (72.713)
Epoch: [108][1790/5005] Time 0.210 (0.211) Data 0.041 (0.048) Loss 2.1829 (2.3041) Prec@1 53.516 (47.321) Prec@5 71.484 (72.716)
Epoch: [108][1800/5005] Time 0.204 (0.211) Data 0.047 (0.048) Loss 2.2262 (2.3038) Prec@1 46.094 (47.326) Prec@5 73.438 (72.721)
Epoch: [108][1810/5005] Time 0.208 (0.211) Data 0.052 (0.048) Loss 2.1613 (2.3036) Prec@1 48.047 (47.326) Prec@5 75.000 (72.725)
Epoch: [108][1820/5005] Time 0.208 (0.211) Data 0.041 (0.048) Loss 2.2839 (2.3036) Prec@1 44.141 (47.326) Prec@5 72.656 (72.722)
Epoch: [108][1830/5005] Time 0.202 (0.211) Data 0.046 (0.048) Loss 2.1184 (2.3030) Prec@1 50.000 (47.333) Prec@5 75.781 (72.727)
Epoch: [108][1840/5005] Time 0.204 (0.211) Data 0.043 (0.048) Loss 2.4024 (2.3027) Prec@1 44.922 (47.340) Prec@5 71.094 (72.731)
Epoch: [108][1850/5005] Time 0.214 (0.211) Data 0.043 (0.048) Loss 2.2260 (2.3025) Prec@1 49.219 (47.345) Prec@5 72.656 (72.735)
Epoch: [108][1860/5005] Time 0.210 (0.211) Data 0.047 (0.048) Loss 2.3585 (2.3026) Prec@1 43.750 (47.339) Prec@5 67.188 (72.730)
Epoch: [108][1870/5005] Time 0.208 (0.211) Data 0.040 (0.048) Loss 2.5271 (2.3027) Prec@1 41.406 (47.335) Prec@5 69.922 (72.728)
Epoch: [108][1880/5005] Time 0.210 (0.211) Data 0.052 (0.048) Loss 2.4239 (2.3032) Prec@1 44.141 (47.329) Prec@5 71.094 (72.721)
Epoch: [108][1890/5005] Time 0.208 (0.211) Data 0.057 (0.048) Loss 2.4204 (2.3031) Prec@1 44.531 (47.333) Prec@5 70.703 (72.724)
Epoch: [108][1900/5005] Time 0.191 (0.211) Data 0.043 (0.048) Loss 2.2463 (2.3035) Prec@1 49.219 (47.324) Prec@5 74.219 (72.719)
Epoch: [108][1910/5005] Time 0.210 (0.211) Data 0.042 (0.048) Loss 2.0780 (2.3034) Prec@1 52.344 (47.327) Prec@5 77.344 (72.723)
Epoch: [108][1920/5005] Time 0.204 (0.211) Data 0.056 (0.048) Loss 2.1613 (2.3034) Prec@1 48.047 (47.320) Prec@5 74.219 (72.723)
Epoch: [108][1930/5005] Time 0.209 (0.211) Data 0.040 (0.048) Loss 2.2245 (2.3031) Prec@1 47.656 (47.329) Prec@5 71.484 (72.725)
Epoch: [108][1940/5005] Time 0.214 (0.211) Data 0.054 (0.048) Loss 2.1949 (2.3028) Prec@1 53.125 (47.333) Prec@5 76.172 (72.733)
Epoch: [108][1950/5005] Time 0.206 (0.211) Data 0.052 (0.048) Loss 2.5217 (2.3029) Prec@1 44.922 (47.335) Prec@5 71.484 (72.731)
Epoch: [108][1960/5005] Time 0.206 (0.211) Data 0.044 (0.048) Loss 2.3259 (2.3026) Prec@1 48.047 (47.340) Prec@5 72.656 (72.740)
Epoch: [108][1970/5005] Time 0.211 (0.211) Data 0.046 (0.048) Loss 2.2266 (2.3026) Prec@1 47.266 (47.338) Prec@5 74.219 (72.742)
Epoch: [108][1980/5005] Time 0.210 (0.211) Data 0.041 (0.048) Loss 2.0617 (2.3025) Prec@1 50.781 (47.340) Prec@5 75.391 (72.744)
Epoch: [108][1990/5005] Time 0.211 (0.211) Data 0.050 (0.048) Loss 2.1299 (2.3023) Prec@1 51.172 (47.342) Prec@5 74.609 (72.743)
Epoch: [108][2000/5005] Time 0.210 (0.211) Data 0.044 (0.048) Loss 2.2014 (2.3025) Prec@1 50.781 (47.336) Prec@5 74.609 (72.744)
Epoch: [108][2010/5005] Time 0.211 (0.211) Data 0.045 (0.048) Loss 2.1819 (2.3025) Prec@1 47.656 (47.327) Prec@5 76.172 (72.742)
Epoch: [108][2020/5005] Time 0.205 (0.211) Data 0.041 (0.048) Loss 2.3261 (2.3024) Prec@1 47.266 (47.325) Prec@5 71.875 (72.742)
Epoch: [108][2030/5005] Time 0.217 (0.211) Data 0.041 (0.048) Loss 2.3396 (2.3027) Prec@1 47.656 (47.319) Prec@5 73.438 (72.733)
Epoch: [108][2040/5005] Time 0.197 (0.211) Data 0.042 (0.048) Loss 2.0353 (2.3026) Prec@1 48.438 (47.322) Prec@5 78.906 (72.740)
Epoch: [108][2050/5005] Time 0.201 (0.211) Data 0.061 (0.048) Loss 2.3548 (2.3024) Prec@1 47.266 (47.325) Prec@5 71.484 (72.744)
Epoch: [108][2060/5005] Time 0.208 (0.211) Data 0.059 (0.048) Loss 2.1463 (2.3024) Prec@1 46.875 (47.316) Prec@5 74.219 (72.743)
Epoch: [108][2070/5005] Time 0.212 (0.211) Data 0.047 (0.048) Loss 2.5121 (2.3028) Prec@1 47.266 (47.315) Prec@5 68.359 (72.733)
Epoch: [108][2080/5005] Time 0.200 (0.211) Data 0.046 (0.048) Loss 2.3023 (2.3027) Prec@1 47.656 (47.316) Prec@5 74.219 (72.732)
Epoch: [108][2090/5005] Time 0.213 (0.211) Data 0.042 (0.048) Loss 1.9970 (2.3024) Prec@1 49.219 (47.322) Prec@5 79.297 (72.733)
Epoch: [108][2100/5005] Time 0.206 (0.211) Data 0.047 (0.048) Loss 2.3271 (2.3024) Prec@1 45.703 (47.322) Prec@5 75.781 (72.736)
Epoch: [108][2110/5005] Time 0.208 (0.211) Data 0.049 (0.048) Loss 2.0975 (2.3023) Prec@1 49.609 (47.325) Prec@5 77.344 (72.735)
Epoch: [108][2120/5005] Time 0.210 (0.211) Data 0.042 (0.048) Loss 2.3838 (2.3022) Prec@1 47.266 (47.328) Prec@5 71.094 (72.738)
Epoch: [108][2130/5005] Time 0.210 (0.211) Data 0.066 (0.048) Loss 2.2928 (2.3018) Prec@1 46.484 (47.335) Prec@5 75.000 (72.744)
Epoch: [108][2140/5005] Time 0.201 (0.211) Data 0.066 (0.048) Loss 2.0962 (2.3018) Prec@1 49.219 (47.335) Prec@5 76.172 (72.743)
Epoch: [108][2150/5005] Time 0.206 (0.211) Data 0.043 (0.048) Loss 2.1823 (2.3019) Prec@1 48.828 (47.332) Prec@5 75.000 (72.740)
Epoch: [108][2160/5005] Time 0.201 (0.211) Data 0.060 (0.048) Loss 2.2517 (2.3018) Prec@1 46.875 (47.331) Prec@5 76.562 (72.743)
Epoch: [108][2170/5005] Time 0.205 (0.211) Data 0.050 (0.048) Loss 2.1714 (2.3016) Prec@1 51.953 (47.337) Prec@5 75.000 (72.749)
Epoch: [108][2180/5005] Time 0.208 (0.211) Data 0.042 (0.048) Loss 2.3705 (2.3017) Prec@1 48.438 (47.337) Prec@5 70.312 (72.746)
Epoch: [108][2190/5005] Time 0.207 (0.211) Data 0.047 (0.048) Loss 2.5804 (2.3017) Prec@1 43.359 (47.338) Prec@5 64.844 (72.742)
Epoch: [108][2200/5005] Time 0.221 (0.211) Data 0.050 (0.048) Loss 2.2683 (2.3018) Prec@1 49.609 (47.337) Prec@5 73.828 (72.744)
Epoch: [108][2210/5005] Time 0.205 (0.211) Data 0.052 (0.048) Loss 2.4098 (2.3023) Prec@1 47.656 (47.328) Prec@5 70.703 (72.738)
Epoch: [108][2220/5005] Time 0.196 (0.211) Data 0.066 (0.048) Loss 2.4065 (2.3022) Prec@1 48.047 (47.331) Prec@5 69.141 (72.734)
Epoch: [108][2230/5005] Time 0.195 (0.211) Data 0.050 (0.048) Loss 2.3797 (2.3023) Prec@1 44.922 (47.331) Prec@5 71.875 (72.729)
Epoch: [108][2240/5005] Time 0.213 (0.211) Data 0.043 (0.048) Loss 2.3263 (2.3024) Prec@1 46.875 (47.328) Prec@5 73.438 (72.725)
Epoch: [108][2250/5005] Time 0.209 (0.211) Data 0.048 (0.048) Loss 2.0919 (2.3025) Prec@1 48.438 (47.326) Prec@5 75.391 (72.721)
Epoch: [108][2260/5005] Time 0.206 (0.211) Data 0.055 (0.048) Loss 2.3457 (2.3024) Prec@1 46.484 (47.329) Prec@5 71.875 (72.725)
Epoch: [108][2270/5005] Time 0.205 (0.211) Data 0.050 (0.048) Loss 2.4113 (2.3021) Prec@1 46.875 (47.338) Prec@5 70.703 (72.729)
Epoch: [108][2280/5005] Time 0.199 (0.211) Data 0.045 (0.048) Loss 2.3234 (2.3021) Prec@1 48.438 (47.339) Prec@5 73.047 (72.734)
Epoch: [108][2290/5005] Time 0.199 (0.211) Data 0.042 (0.048) Loss 2.1463 (2.3020) Prec@1 53.516 (47.344) Prec@5 75.000 (72.735)
Epoch: [108][2300/5005] Time 0.196 (0.211) Data 0.044 (0.048) Loss 2.2419 (2.3019) Prec@1 43.750 (47.342) Prec@5 70.703 (72.735)
Epoch: [108][2310/5005] Time 0.202 (0.211) Data 0.043 (0.048) Loss 2.2020 (2.3019) Prec@1 49.219 (47.346) Prec@5 73.828 (72.734)
Epoch: [108][2320/5005] Time 0.214 (0.211) Data 0.044 (0.048) Loss 2.4405 (2.3019) Prec@1 45.312 (47.346) Prec@5 69.141 (72.735)
Epoch: [108][2330/5005] Time 0.210 (0.211) Data 0.041 (0.048) Loss 2.2357 (2.3018) Prec@1 48.438 (47.348) Prec@5 74.609 (72.738)
Epoch: [108][2340/5005] Time 0.210 (0.211) Data 0.045 (0.048) Loss 2.2228 (2.3014) Prec@1 50.000 (47.355) Prec@5 76.172 (72.745)
Epoch: [108][2350/5005] Time 0.201 (0.211) Data 0.043 (0.048) Loss 2.1799 (2.3012) Prec@1 49.609 (47.358) Prec@5 73.828 (72.743)
Epoch: [108][2360/5005] Time 0.207 (0.211) Data 0.043 (0.048) Loss 2.2010 (2.3013) Prec@1 49.609 (47.356) Prec@5 72.266 (72.737)
Epoch: [108][2370/5005] Time 0.210 (0.211) Data 0.043 (0.048) Loss 2.3254 (2.3015) Prec@1 44.531 (47.347) Prec@5 72.266 (72.732)
Epoch: [108][2380/5005] Time 0.208 (0.211) Data 0.041 (0.048) Loss 2.3516 (2.3013) Prec@1 45.703 (47.347) Prec@5 68.359 (72.731)
Epoch: [108][2390/5005] Time 0.214 (0.211) Data 0.043 (0.048) Loss 2.3073 (2.3011) Prec@1 44.922 (47.348) Prec@5 71.875 (72.731)
Epoch: [108][2400/5005] Time 0.207 (0.211) Data 0.065 (0.048) Loss 2.2522 (2.3010) Prec@1 48.828 (47.348) Prec@5 76.172 (72.731)
Epoch: [108][2410/5005] Time 0.205 (0.211) Data 0.051 (0.048) Loss 2.4981 (2.3011) Prec@1 44.531 (47.348) Prec@5 67.969 (72.731)
Epoch: [108][2420/5005] Time 0.206 (0.211) Data 0.046 (0.048) Loss 2.3609 (2.3009) Prec@1 47.266 (47.351) Prec@5 74.609 (72.738)
Epoch: [108][2430/5005] Time 0.212 (0.211) Data 0.045 (0.048) Loss 2.2099 (2.3010) Prec@1 48.828 (47.351) Prec@5 74.219 (72.733)
Epoch: [108][2440/5005] Time 0.196 (0.211) Data 0.048 (0.048) Loss 2.0596 (2.3009) Prec@1 55.859 (47.358) Prec@5 74.609 (72.732)
Epoch: [108][2450/5005] Time 0.205 (0.211) Data 0.046 (0.048) Loss 2.2018 (2.3007) Prec@1 48.438 (47.363) Prec@5 74.609 (72.734)
Epoch: [108][2460/5005] Time 0.206 (0.211) Data 0.046 (0.048) Loss 2.2997 (2.3004) Prec@1 46.875 (47.367) Prec@5 71.875 (72.737)
Epoch: [108][2470/5005] Time 0.202 (0.211) Data 0.043 (0.048) Loss 2.0826 (2.3002) Prec@1 51.562 (47.374) Prec@5 75.000 (72.741)
Epoch: [108][2480/5005] Time 0.206 (0.211) Data 0.044 (0.048) Loss 2.5632 (2.3004) Prec@1 42.188 (47.369) Prec@5 68.750 (72.736)
Epoch: [108][2490/5005] Time 0.223 (0.211) Data 0.048 (0.048) Loss 2.1311 (2.3003) Prec@1 50.781 (47.369) Prec@5 74.609 (72.735)
Epoch: [108][2500/5005] Time 0.203 (0.210) Data 0.053 (0.048) Loss 2.1953 (2.3002) Prec@1 48.047 (47.368) Prec@5 72.266 (72.734)
Epoch: [108][2510/5005] Time 0.199 (0.210) Data 0.058 (0.048) Loss 2.3937 (2.3004) Prec@1 42.969 (47.362) Prec@5 71.875 (72.734)
Epoch: [108][2520/5005] Time 0.206 (0.210) Data 0.045 (0.048) Loss 2.2320 (2.3004) Prec@1 48.047 (47.369) Prec@5 72.656 (72.731)
Epoch: [108][2530/5005] Time 0.203 (0.210) Data 0.050 (0.048) Loss 2.6178 (2.3004) Prec@1 44.141 (47.369) Prec@5 66.406 (72.726)
Epoch: [108][2540/5005] Time 0.219 (0.210) Data 0.046 (0.048) Loss 2.2902 (2.3004) Prec@1 46.484 (47.370) Prec@5 72.266 (72.725)
Epoch: [108][2550/5005] Time 0.199 (0.210) Data 0.046 (0.048) Loss 2.3168 (2.3004) Prec@1 43.359 (47.368) Prec@5 71.875 (72.725)
Epoch: [108][2560/5005] Time 0.200 (0.210) Data 0.046 (0.048) Loss 2.4680 (2.3006) Prec@1 43.750 (47.366) Prec@5 70.312 (72.720)
Epoch: [108][2570/5005] Time 0.202 (0.210) Data 0.046 (0.048) Loss 2.2375 (2.3006) Prec@1 47.656 (47.365) Prec@5 73.828 (72.721)
Epoch: [108][2580/5005] Time 0.201 (0.210) Data 0.046 (0.048) Loss 2.2935 (2.3010) Prec@1 45.312 (47.356) Prec@5 70.312 (72.712)
Epoch: [108][2590/5005] Time 0.207 (0.210) Data 0.056 (0.048) Loss 2.3766 (2.3008) Prec@1 50.000 (47.368) Prec@5 72.266 (72.715)
Epoch: [108][2600/5005] Time 0.207 (0.210) Data 0.059 (0.048) Loss 2.3217 (2.3010) Prec@1 50.000 (47.365) Prec@5 73.828 (72.713)
Epoch: [108][2610/5005] Time 0.215 (0.210) Data 0.043 (0.048) Loss 2.4989 (2.3006) Prec@1 44.141 (47.374) Prec@5 68.359 (72.718)
Epoch: [108][2620/5005] Time 0.206 (0.210) Data 0.043 (0.048) Loss 2.3117 (2.3008) Prec@1 45.703 (47.373) Prec@5 72.266 (72.715)
Epoch: [108][2630/5005] Time 0.216 (0.210) Data 0.044 (0.048) Loss 2.5515 (2.3011) Prec@1 41.406 (47.368) Prec@5 71.094 (72.710)
Epoch: [108][2640/5005] Time 0.209 (0.210) Data 0.043 (0.048) Loss 2.5311 (2.3012) Prec@1 41.797 (47.365) Prec@5 68.750 (72.710)
Epoch: [108][2650/5005] Time 0.207 (0.210) Data 0.046 (0.048) Loss 2.6003 (2.3014) Prec@1 45.703 (47.363) Prec@5 66.797 (72.705)
Epoch: [108][2660/5005] Time 0.205 (0.210) Data 0.049 (0.048) Loss 2.1804 (2.3015) Prec@1 51.172 (47.363) Prec@5 74.219 (72.701)
Epoch: [108][2670/5005] Time 0.215 (0.210) Data 0.056 (0.048) Loss 2.0620 (2.3014) Prec@1 50.000 (47.361) Prec@5 76.562 (72.700)
Epoch: [108][2680/5005] Time 0.198 (0.210) Data 0.048 (0.048) Loss 2.3332 (2.3015) Prec@1 46.875 (47.360) Prec@5 74.609 (72.700)
Epoch: [108][2690/5005] Time 0.218 (0.210) Data 0.043 (0.048) Loss 2.0865 (2.3014) Prec@1 50.781 (47.362) Prec@5 75.000 (72.698)
Epoch: [108][2700/5005] Time 0.210 (0.210) Data 0.042 (0.048) Loss 2.1481 (2.3013) Prec@1 50.391 (47.360) Prec@5 75.391 (72.701)
Epoch: [108][2710/5005] Time 0.206 (0.210) Data 0.057 (0.048) Loss 2.3040 (2.3015) Prec@1 45.703 (47.353) Prec@5 70.703 (72.696)
Epoch: [108][2720/5005] Time 0.208 (0.210) Data 0.049 (0.048) Loss 2.1303 (2.3016) Prec@1 52.344 (47.352) Prec@5 76.562 (72.697)
Epoch: [108][2730/5005] Time 0.206 (0.210) Data 0.044 (0.048) Loss 2.3512 (2.3014) Prec@1 47.266 (47.356) Prec@5 70.312 (72.704)
Epoch: [108][2740/5005] Time 0.204 (0.210) Data 0.044 (0.048) Loss 2.2881 (2.3013) Prec@1 46.875 (47.359) Prec@5 77.344 (72.709)
Epoch: [108][2750/5005] Time 0.202 (0.210) Data 0.043 (0.048) Loss 2.3270 (2.3012) Prec@1 44.922 (47.360) Prec@5 73.438 (72.710)
Epoch: [108][2760/5005] Time 0.215 (0.210) Data 0.045 (0.048) Loss 2.2570 (2.3011) Prec@1 49.609 (47.365) Prec@5 75.000 (72.711)
Epoch: [108][2770/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.1971 (2.3011) Prec@1 50.781 (47.368) Prec@5 70.703 (72.713)
Epoch: [108][2780/5005] Time 0.217 (0.210) Data 0.042 (0.048) Loss 2.4583 (2.3011) Prec@1 44.922 (47.370) Prec@5 69.141 (72.715)
Epoch: [108][2790/5005] Time 0.192 (0.210) Data 0.045 (0.048) Loss 2.6064 (2.3012) Prec@1 37.500 (47.368) Prec@5 67.188 (72.713)
Epoch: [108][2800/5005] Time 0.204 (0.210) Data 0.046 (0.048) Loss 2.1163 (2.3011) Prec@1 53.906 (47.368) Prec@5 76.172 (72.716)
Epoch: [108][2810/5005] Time 0.192 (0.210) Data 0.052 (0.048) Loss 2.4877 (2.3010) Prec@1 43.750 (47.369) Prec@5 69.922 (72.720)
Epoch: [108][2820/5005] Time 0.208 (0.210) Data 0.049 (0.048) Loss 2.0212 (2.3009) Prec@1 50.391 (47.370) Prec@5 75.781 (72.721)
Epoch: [108][2830/5005] Time 0.198 (0.210) Data 0.043 (0.048) Loss 2.5636 (2.3011) Prec@1 45.703 (47.370) Prec@5 69.531 (72.721)
Epoch: [108][2840/5005] Time 0.198 (0.210) Data 0.042 (0.048) Loss 2.2153 (2.3011) Prec@1 48.828 (47.368) Prec@5 75.000 (72.721)
Epoch: [108][2850/5005] Time 0.202 (0.210) Data 0.039 (0.048) Loss 2.3135 (2.3011) Prec@1 49.609 (47.368) Prec@5 71.875 (72.724)
Epoch: [108][2860/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.3379 (2.3011) Prec@1 47.266 (47.371) Prec@5 70.703 (72.725)
Epoch: [108][2870/5005] Time 0.204 (0.210) Data 0.047 (0.048) Loss 2.1640 (2.3009) Prec@1 51.172 (47.375) Prec@5 76.953 (72.733)
Epoch: [108][2880/5005] Time 0.199 (0.210) Data 0.045 (0.048) Loss 2.2884 (2.3009) Prec@1 43.359 (47.374) Prec@5 74.219 (72.734)
Epoch: [108][2890/5005] Time 0.209 (0.210) Data 0.053 (0.048) Loss 2.4086 (2.3007) Prec@1 43.750 (47.379) Prec@5 71.484 (72.736)
Epoch: [108][2900/5005] Time 0.211 (0.210) Data 0.044 (0.048) Loss 2.0905 (2.3004) Prec@1 50.000 (47.383) Prec@5 74.609 (72.743)
Epoch: [108][2910/5005] Time 0.192 (0.210) Data 0.071 (0.048) Loss 2.1770 (2.3005) Prec@1 49.219 (47.382) Prec@5 76.953 (72.743)
Epoch: [108][2920/5005] Time 0.197 (0.210) Data 0.058 (0.048) Loss 2.3583 (2.3004) Prec@1 47.656 (47.385) Prec@5 70.312 (72.746)
Epoch: [108][2930/5005] Time 0.211 (0.210) Data 0.046 (0.048) Loss 2.5856 (2.3005) Prec@1 42.188 (47.386) Prec@5 67.188 (72.742)
Epoch: [108][2940/5005] Time 0.197 (0.210) Data 0.041 (0.048) Loss 2.4293 (2.3002) Prec@1 42.578 (47.388) Prec@5 70.312 (72.743)
Epoch: [108][2950/5005] Time 0.206 (0.210) Data 0.043 (0.048) Loss 2.5148 (2.3001) Prec@1 44.141 (47.390) Prec@5 72.266 (72.746)
Epoch: [108][2960/5005] Time 0.206 (0.210) Data 0.048 (0.048) Loss 2.3186 (2.3000) Prec@1 49.219 (47.396) Prec@5 70.703 (72.746)
Epoch: [108][2970/5005] Time 0.202 (0.210) Data 0.046 (0.048) Loss 2.4413 (2.2998) Prec@1 42.188 (47.401) Prec@5 70.703 (72.751)
Epoch: [108][2980/5005] Time 0.213 (0.210) Data 0.046 (0.048) Loss 2.4629 (2.2998) Prec@1 46.094 (47.402) Prec@5 70.703 (72.750)
Epoch: [108][2990/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.3559 (2.3000) Prec@1 44.531 (47.400) Prec@5 73.828 (72.747)
Epoch: [108][3000/5005] Time 0.212 (0.210) Data 0.042 (0.048) Loss 2.4270 (2.2998) Prec@1 46.484 (47.405) Prec@5 71.484 (72.749)
Epoch: [108][3010/5005] Time 0.211 (0.210) Data 0.042 (0.048) Loss 2.2374 (2.2999) Prec@1 50.391 (47.404) Prec@5 72.656 (72.748)
Epoch: [108][3020/5005] Time 0.201 (0.210) Data 0.051 (0.048) Loss 2.1741 (2.3002) Prec@1 49.219 (47.400) Prec@5 73.828 (72.742)
Epoch: [108][3030/5005] Time 0.205 (0.210) Data 0.048 (0.048) Loss 2.2844 (2.3001) Prec@1 48.828 (47.403) Prec@5 71.875 (72.744)
Epoch: [108][3040/5005] Time 0.205 (0.210) Data 0.047 (0.048) Loss 2.2092 (2.2999) Prec@1 50.781 (47.411) Prec@5 74.609 (72.744)
Epoch: [108][3050/5005] Time 0.209 (0.210) Data 0.054 (0.048) Loss 2.2800 (2.2999) Prec@1 42.969 (47.408) Prec@5 73.047 (72.745)
Epoch: [108][3060/5005] Time 0.204 (0.210) Data 0.058 (0.048) Loss 2.1624 (2.2997) Prec@1 51.953 (47.410) Prec@5 75.391 (72.750)
Epoch: [108][3070/5005] Time 0.194 (0.210) Data 0.042 (0.048) Loss 2.2681 (2.2998) Prec@1 48.438 (47.412) Prec@5 71.875 (72.749)
Epoch: [108][3080/5005] Time 0.205 (0.210) Data 0.058 (0.048) Loss 2.1143 (2.2998) Prec@1 48.438 (47.407) Prec@5 78.125 (72.749)
Epoch: [108][3090/5005] Time 0.211 (0.210) Data 0.048 (0.048) Loss 2.5803 (2.2998) Prec@1 39.844 (47.407) Prec@5 69.531 (72.747)
Epoch: [108][3100/5005] Time 0.195 (0.210) Data 0.047 (0.048) Loss 2.2951 (2.2999) Prec@1 46.484 (47.406) Prec@5 71.484 (72.745)
Epoch: [108][3110/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.0520 (2.2995) Prec@1 51.172 (47.411) Prec@5 76.562 (72.749)
Epoch: [108][3120/5005] Time 0.219 (0.210) Data 0.042 (0.048) Loss 2.3567 (2.2994) Prec@1 47.266 (47.408) Prec@5 69.531 (72.749)
Epoch: [108][3130/5005] Time 0.205 (0.210) Data 0.044 (0.048) Loss 2.4382 (2.2993) Prec@1 41.797 (47.413) Prec@5 72.266 (72.753)
Epoch: [108][3140/5005] Time 0.201 (0.210) Data 0.065 (0.048) Loss 2.1243 (2.2991) Prec@1 52.734 (47.419) Prec@5 73.828 (72.754)
Epoch: [108][3150/5005] Time 0.203 (0.210) Data 0.059 (0.048) Loss 2.3086 (2.2990) Prec@1 51.172 (47.424) Prec@5 69.141 (72.755)
Epoch: [108][3160/5005] Time 0.209 (0.210) Data 0.049 (0.048) Loss 2.1608 (2.2990) Prec@1 48.438 (47.426) Prec@5 74.219 (72.756)
Epoch: [108][3170/5005] Time 0.209 (0.210) Data 0.049 (0.048) Loss 2.2788 (2.2989) Prec@1 46.875 (47.425) Prec@5 75.000 (72.760)
Epoch: [108][3180/5005] Time 0.213 (0.210) Data 0.042 (0.048) Loss 2.1227 (2.2990) Prec@1 50.781 (47.422) Prec@5 76.562 (72.759)
Epoch: [108][3190/5005] Time 0.212 (0.210) Data 0.042 (0.048) Loss 2.3104 (2.2991) Prec@1 49.219 (47.419) Prec@5 74.219 (72.762)
Epoch: [108][3200/5005] Time 0.214 (0.210) Data 0.049 (0.048) Loss 2.3495 (2.2991) Prec@1 46.094 (47.418) Prec@5 71.875 (72.763)
Epoch: [108][3210/5005] Time 0.206 (0.210) Data 0.053 (0.048) Loss 2.3342 (2.2990) Prec@1 48.047 (47.421) Prec@5 69.922 (72.765)
Epoch: [108][3220/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.3554 (2.2991) Prec@1 50.781 (47.425) Prec@5 70.703 (72.762)
Epoch: [108][3230/5005] Time 0.206 (0.210) Data 0.044 (0.048) Loss 2.1539 (2.2989) Prec@1 52.734 (47.432) Prec@5 75.391 (72.768)
Epoch: [108][3240/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.4911 (2.2992) Prec@1 44.141 (47.425) Prec@5 68.750 (72.763)
Epoch: [108][3250/5005] Time 0.209 (0.210) Data 0.041 (0.048) Loss 2.2799 (2.2991) Prec@1 46.094 (47.423) Prec@5 71.875 (72.764)
Epoch: [108][3260/5005] Time 0.212 (0.210) Data 0.043 (0.048) Loss 2.1778 (2.2992) Prec@1 49.219 (47.419) Prec@5 74.219 (72.762)
Epoch: [108][3270/5005] Time 0.212 (0.210) Data 0.046 (0.048) Loss 2.3615 (2.2991) Prec@1 48.438 (47.419) Prec@5 71.484 (72.764)
Epoch: [108][3280/5005] Time 0.212 (0.210) Data 0.045 (0.048) Loss 2.1269 (2.2992) Prec@1 51.172 (47.417) Prec@5 75.781 (72.764)
Epoch: [108][3290/5005] Time 0.213 (0.210) Data 0.042 (0.048) Loss 2.3094 (2.2991) Prec@1 47.266 (47.415) Prec@5 72.656 (72.765)
Epoch: [108][3300/5005] Time 0.212 (0.210) Data 0.044 (0.048) Loss 2.2855 (2.2990) Prec@1 42.578 (47.413) Prec@5 73.047 (72.764)
Epoch: [108][3310/5005] Time 0.208 (0.210) Data 0.043 (0.048) Loss 2.2675 (2.2990) Prec@1 45.312 (47.413) Prec@5 75.000 (72.765)
Epoch: [108][3320/5005] Time 0.210 (0.210) Data 0.043 (0.048) Loss 2.2519 (2.2990) Prec@1 49.609 (47.414) Prec@5 75.000 (72.766)
Epoch: [108][3330/5005] Time 0.211 (0.210) Data 0.043 (0.048) Loss 2.4289 (2.2991) Prec@1 43.750 (47.412) Prec@5 70.703 (72.763)
Epoch: [108][3340/5005] Time 0.198 (0.210) Data 0.062 (0.048) Loss 2.3326 (2.2992) Prec@1 44.141 (47.409) Prec@5 74.609 (72.765)
Epoch: [108][3350/5005] Time 0.213 (0.210) Data 0.048 (0.048) Loss 2.3938 (2.2991) Prec@1 46.875 (47.409) Prec@5 69.531 (72.768)
Epoch: [108][3360/5005] Time 0.208 (0.210) Data 0.048 (0.048) Loss 2.2747 (2.2991) Prec@1 48.438 (47.408) Prec@5 71.484 (72.768)
Epoch: [108][3370/5005] Time 0.216 (0.210) Data 0.044 (0.048) Loss 2.3861 (2.2993) Prec@1 43.359 (47.402) Prec@5 71.484 (72.764)
Epoch: [108][3380/5005] Time 0.207 (0.210) Data 0.043 (0.048) Loss 2.2788 (2.2992) Prec@1 49.609 (47.404) Prec@5 69.922 (72.762)
Epoch: [108][3390/5005] Time 0.214 (0.210) Data 0.046 (0.048) Loss 2.1919 (2.2994) Prec@1 51.172 (47.404) Prec@5 73.438 (72.758)
Epoch: [108][3400/5005] Time 0.214 (0.210) Data 0.043 (0.048) Loss 2.1716 (2.2994) Prec@1 52.734 (47.403) Prec@5 73.047 (72.756)
Epoch: [108][3410/5005] Time 0.202 (0.210) Data 0.047 (0.048) Loss 2.1990 (2.2992) Prec@1 49.219 (47.408) Prec@5 74.609 (72.761)
Epoch: [108][3420/5005] Time 0.204 (0.210) Data 0.045 (0.048) Loss 2.2892 (2.2992) Prec@1 48.828 (47.405) Prec@5 72.656 (72.760)
Epoch: [108][3430/5005] Time 0.204 (0.210) Data 0.044 (0.048) Loss 2.2942 (2.2991) Prec@1 49.609 (47.409) Prec@5 70.312 (72.762)
Epoch: [108][3440/5005] Time 0.205 (0.210) Data 0.050 (0.048) Loss 2.3538 (2.2990) Prec@1 45.703 (47.407) Prec@5 73.047 (72.767)
Epoch: [108][3450/5005] Time 0.213 (0.210) Data 0.044 (0.048) Loss 2.1026 (2.2989) Prec@1 46.484 (47.406) Prec@5 74.219 (72.769)
Epoch: [108][3460/5005] Time 0.220 (0.210) Data 0.048 (0.048) Loss 2.3143 (2.2990) Prec@1 50.000 (47.406) Prec@5 72.266 (72.767)
Epoch: [108][3470/5005] Time 0.207 (0.210) Data 0.047 (0.048) Loss 2.1857 (2.2989) Prec@1 48.828 (47.408) Prec@5 74.609 (72.769)
Epoch: [108][3480/5005] Time 0.204 (0.210) Data 0.058 (0.048) Loss 2.2739 (2.2986) Prec@1 45.312 (47.410) Prec@5 74.219 (72.774)
Epoch: [108][3490/5005] Time 0.207 (0.210) Data 0.046 (0.048) Loss 2.2972 (2.2986) Prec@1 44.922 (47.412) Prec@5 71.094 (72.774)
Epoch: [108][3500/5005] Time 0.214 (0.210) Data 0.045 (0.048) Loss 2.0563 (2.2986) Prec@1 50.000 (47.413) Prec@5 80.859 (72.776)
Epoch: [108][3510/5005] Time 0.206 (0.210) Data 0.046 (0.048) Loss 2.0946 (2.2984) Prec@1 48.828 (47.413) Prec@5 74.219 (72.777)
Epoch: [108][3520/5005] Time 0.203 (0.210) Data 0.041 (0.048) Loss 2.4732 (2.2984) Prec@1 46.875 (47.413) Prec@5 69.141 (72.776)
Epoch: [108][3530/5005] Time 0.196 (0.210) Data 0.047 (0.048) Loss 2.3135 (2.2983) Prec@1 45.703 (47.416) Prec@5 74.609 (72.777)
Epoch: [108][3540/5005] Time 0.208 (0.210) Data 0.046 (0.048) Loss 2.1084 (2.2981) Prec@1 50.781 (47.420) Prec@5 79.297 (72.779)
Epoch: [108][3550/5005] Time 0.205 (0.210) Data 0.057 (0.048) Loss 2.3794 (2.2981) Prec@1 44.141 (47.420) Prec@5 71.484 (72.781)
Epoch: [108][3560/5005] Time 0.195 (0.210) Data 0.042 (0.048) Loss 2.3904 (2.2980) Prec@1 46.484 (47.422) Prec@5 67.969 (72.784)
Epoch: [108][3570/5005] Time 0.196 (0.210) Data 0.064 (0.048) Loss 2.3033 (2.2981) Prec@1 49.609 (47.420) Prec@5 73.438 (72.781)
Epoch: [108][3580/5005] Time 0.213 (0.210) Data 0.046 (0.048) Loss 2.2393 (2.2981) Prec@1 48.828 (47.417) Prec@5 73.047 (72.780)
Epoch: [108][3590/5005] Time 0.212 (0.210) Data 0.047 (0.048) Loss 2.4124 (2.2979) Prec@1 44.141 (47.422) Prec@5 68.359 (72.783)
Epoch: [108][3600/5005] Time 0.208 (0.210) Data 0.042 (0.048) Loss 2.4449 (2.2978) Prec@1 44.922 (47.424) Prec@5 67.578 (72.784)
Epoch: [108][3610/5005] Time 0.202 (0.210) Data 0.045 (0.048) Loss 2.2149 (2.2978) Prec@1 50.391 (47.424) Prec@5 73.047 (72.783)
Epoch: [108][3620/5005] Time 0.209 (0.210) Data 0.051 (0.048) Loss 2.4452 (2.2976) Prec@1 42.188 (47.429) Prec@5 67.578 (72.786)
Epoch: [108][3630/5005] Time 0.212 (0.210) Data 0.042 (0.048) Loss 2.5092 (2.2975) Prec@1 41.797 (47.431) Prec@5 69.531 (72.788)
Epoch: [108][3640/5005] Time 0.202 (0.210) Data 0.063 (0.048) Loss 2.3119 (2.2975) Prec@1 46.875 (47.429) Prec@5 70.312 (72.785)
Epoch: [108][3650/5005] Time 0.213 (0.210) Data 0.050 (0.048) Loss 2.1851 (2.2975) Prec@1 49.219 (47.426) Prec@5 71.875 (72.782)
Epoch: [108][3660/5005] Time 0.206 (0.210) Data 0.057 (0.048) Loss 2.4589 (2.2973) Prec@1 43.359 (47.429) Prec@5 72.656 (72.787)
Epoch: [108][3670/5005] Time 0.208 (0.210) Data 0.055 (0.048) Loss 2.4808 (2.2974) Prec@1 46.094 (47.427) Prec@5 71.484 (72.785)
Epoch: [108][3680/5005] Time 0.213 (0.210) Data 0.043 (0.048) Loss 2.1954 (2.2975) Prec@1 50.391 (47.427) Prec@5 73.828 (72.785)
Epoch: [108][3690/5005] Time 0.206 (0.210) Data 0.057 (0.048) Loss 2.2151 (2.2975) Prec@1 50.781 (47.426) Prec@5 77.344 (72.787)
Epoch: [108][3700/5005] Time 0.213 (0.210) Data 0.047 (0.048) Loss 2.3011 (2.2975) Prec@1 47.266 (47.425) Prec@5 73.828 (72.786)
Epoch: [108][3710/5005] Time 0.217 (0.210) Data 0.048 (0.048) Loss 2.2788 (2.2976) Prec@1 51.562 (47.425) Prec@5 73.828 (72.785)
Epoch: [108][3720/5005] Time 0.208 (0.209) Data 0.042 (0.048) Loss 2.4466 (2.2976) Prec@1 46.094 (47.424) Prec@5 69.141 (72.785)
Epoch: [108][3730/5005] Time 0.206 (0.209) Data 0.046 (0.048) Loss 2.1215 (2.2975) Prec@1 53.906 (47.428) Prec@5 76.562 (72.787)
Epoch: [108][3740/5005] Time 0.201 (0.209) Data 0.044 (0.048) Loss 2.2587 (2.2972) Prec@1 49.219 (47.437) Prec@5 74.609 (72.792)
Epoch: [108][3750/5005] Time 0.210 (0.209) Data 0.051 (0.048) Loss 2.1040 (2.2973) Prec@1 50.391 (47.433) Prec@5 75.781 (72.789)
Epoch: [108][3760/5005] Time 0.208 (0.209) Data 0.046 (0.048) Loss 2.3331 (2.2975) Prec@1 48.047 (47.431) Prec@5 71.875 (72.788)
Epoch: [108][3770/5005] Time 0.214 (0.209) Data 0.053 (0.048) Loss 2.2664 (2.2974) Prec@1 48.047 (47.434) Prec@5 72.656 (72.788)
Epoch: [108][3780/5005] Time 0.198 (0.209) Data 0.043 (0.048) Loss 2.1724 (2.2973) Prec@1 51.562 (47.436) Prec@5 72.266 (72.788)
Epoch: [108][3790/5005] Time 0.199 (0.209) Data 0.047 (0.048) Loss 2.4806 (2.2974) Prec@1 45.703 (47.432) Prec@5 69.922 (72.788)
Epoch: [108][3800/5005] Time 0.207 (0.209) Data 0.044 (0.048) Loss 2.1093 (2.2976) Prec@1 48.828 (47.428) Prec@5 73.828 (72.784)
Epoch: [108][3810/5005] Time 0.195 (0.209) Data 0.051 (0.048) Loss 2.2261 (2.2976) Prec@1 47.656 (47.425) Prec@5 77.344 (72.784)
Epoch: [108][3820/5005] Time 0.212 (0.209) Data 0.045 (0.048) Loss 2.2509 (2.2974) Prec@1 44.531 (47.428) Prec@5 74.219 (72.788)
Epoch: [108][3830/5005] Time 0.205 (0.209) Data 0.062 (0.048) Loss 2.2425 (2.2973) Prec@1 46.875 (47.431) Prec@5 71.875 (72.787)
Epoch: [108][3840/5005] Time 0.204 (0.209) Data 0.051 (0.048) Loss 2.6299 (2.2975) Prec@1 43.359 (47.428) Prec@5 69.531 (72.787)
Epoch: [108][3850/5005] Time 0.204 (0.209) Data 0.044 (0.048) Loss 2.3341 (2.2974) Prec@1 49.609 (47.428) Prec@5 73.047 (72.792)
Epoch: [108][3860/5005] Time 0.216 (0.209) Data 0.053 (0.048) Loss 2.2095 (2.2973) Prec@1 46.484 (47.429) Prec@5 75.000 (72.794)
Epoch: [108][3870/5005] Time 0.203 (0.209) Data 0.065 (0.048) Loss 2.2418 (2.2973) Prec@1 49.219 (47.429) Prec@5 72.656 (72.794)
Epoch: [108][3880/5005] Time 0.206 (0.209) Data 0.046 (0.048) Loss 2.3496 (2.2973) Prec@1 46.875 (47.430) Prec@5 72.656 (72.792)
Epoch: [108][3890/5005] Time 0.195 (0.209) Data 0.066 (0.048) Loss 2.4093 (2.2972) Prec@1 45.312 (47.432) Prec@5 72.656 (72.792)
Epoch: [108][3900/5005] Time 0.203 (0.209) Data 0.048 (0.048) Loss 2.5306 (2.2973) Prec@1 40.625 (47.432) Prec@5 68.750 (72.790)
Epoch: [108][3910/5005] Time 0.210 (0.209) Data 0.043 (0.048) Loss 2.4865 (2.2973) Prec@1 42.188 (47.431) Prec@5 69.922 (72.790)
Epoch: [108][3920/5005] Time 0.202 (0.209) Data 0.042 (0.048) Loss 2.2972 (2.2974) Prec@1 48.438 (47.433) Prec@5 73.047 (72.789)
Epoch: [108][3930/5005] Time 0.209 (0.209) Data 0.041 (0.048) Loss 2.2141 (2.2972) Prec@1 47.656 (47.431) Prec@5 77.734 (72.795)
Epoch: [108][3940/5005] Time 0.210 (0.209) Data 0.044 (0.048) Loss 2.3431 (2.2971) Prec@1 45.312 (47.430) Prec@5 71.094 (72.796)
Epoch: [108][3950/5005] Time 0.211 (0.209) Data 0.042 (0.048) Loss 2.2242 (2.2968) Prec@1 50.391 (47.435) Prec@5 76.562 (72.801)
Epoch: [108][3960/5005] Time 0.195 (0.209) Data 0.046 (0.048) Loss 2.2946 (2.2969) Prec@1 46.484 (47.432) Prec@5 73.828 (72.802)
Epoch: [108][3970/5005] Time 0.210 (0.209) Data 0.045 (0.048) Loss 2.0978 (2.2967) Prec@1 50.000 (47.433) Prec@5 78.125 (72.804)
Epoch: [108][3980/5005] Time 0.210 (0.209) Data 0.043 (0.048) Loss 2.1127 (2.2966) Prec@1 49.609 (47.437) Prec@5 76.562 (72.806)
Epoch: [108][3990/5005] Time 0.211 (0.209) Data 0.044 (0.048) Loss 2.3778 (2.2967) Prec@1 46.875 (47.435) Prec@5 71.094 (72.803)
Epoch: [108][4000/5005] Time 0.203 (0.209) Data 0.040 (0.048) Loss 2.2448 (2.2968) Prec@1 46.094 (47.435) Prec@5 70.703 (72.802)
Epoch: [108][4010/5005] Time 0.203 (0.209) Data 0.041 (0.048) Loss 2.3048 (2.2965) Prec@1 46.094 (47.437) Prec@5 73.047 (72.805)
Epoch: [108][4020/5005] Time 0.215 (0.209) Data 0.043 (0.048) Loss 2.4778 (2.2965) Prec@1 44.531 (47.438) Prec@5 68.359 (72.806)
Epoch: [108][4030/5005] Time 0.209 (0.209) Data 0.041 (0.048) Loss 2.5686 (2.2968) Prec@1 45.703 (47.435) Prec@5 68.359 (72.801)
Epoch: [108][4040/5005] Time 0.204 (0.209) Data 0.045 (0.048) Loss 2.3685 (2.2970) Prec@1 47.656 (47.433) Prec@5 70.312 (72.799)
Epoch: [108][4050/5005] Time 0.200 (0.209) Data 0.046 (0.048) Loss 2.4792 (2.2969) Prec@1 42.969 (47.436) Prec@5 68.359 (72.799)
Epoch: [108][4060/5005] Time 0.211 (0.209) Data 0.054 (0.048) Loss 2.2707 (2.2969) Prec@1 50.781 (47.435) Prec@5 73.047 (72.800)
Epoch: [108][4070/5005] Time 0.205 (0.209) Data 0.047 (0.048) Loss 2.3972 (2.2970) Prec@1 45.703 (47.435) Prec@5 74.219 (72.799)
Epoch: [108][4080/5005] Time 0.216 (0.209) Data 0.060 (0.048) Loss 2.2364 (2.2969) Prec@1 49.219 (47.433) Prec@5 73.828 (72.799)
Epoch: [108][4090/5005] Time 0.200 (0.209) Data 0.048 (0.048) Loss 2.4448 (2.2969) Prec@1 44.922 (47.433) Prec@5 73.438 (72.800)
Epoch: [108][4100/5005] Time 0.208 (0.209) Data 0.044 (0.048) Loss 2.2529 (2.2968) Prec@1 47.266 (47.433) Prec@5 72.266 (72.800)
Epoch: [108][4110/5005] Time 0.200 (0.209) Data 0.044 (0.048) Loss 2.4413 (2.2968) Prec@1 40.625 (47.431) Prec@5 71.484 (72.800)
Epoch: [108][4120/5005] Time 0.213 (0.209) Data 0.048 (0.048) Loss 2.3603 (2.2967) Prec@1 44.141 (47.433) Prec@5 73.438 (72.801)